{
 "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": 1,
   "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": 2,
   "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": 3,
   "id": "90560dc3",
   "metadata": {},
   "outputs": [],
   "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": 4,
   "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": 5,
   "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": 6,
   "id": "40727923",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864.648x720.54 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "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": 7,
   "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 = 4.07971e-10\n",
      "min Bnormal = 6.22281e-19 (T)\n",
      "Max Bnormal = 1.65773e-07 (T)\n",
      "Avg Bnormal = 3.47029e-08 (T)\n",
      "min Bnormal = 6.12083e-19 (unitless)\n",
      "Max Bnormal = 1.63056e-07 (unitless)\n",
      "Avg Bnormal = 3.41342e-08 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 1.00000e-30\n",
      "##########################################################\n",
      "chi^2 B = 4.07971e-10\n",
      "min Bnormal = 9.10344e-19 (T)\n",
      "Max Bnormal = 1.65773e-07 (T)\n",
      "Avg Bnormal = 3.47029e-08 (T)\n",
      "min Bnormal = 8.95426e-19 (unitless)\n",
      "Max Bnormal = 1.63056e-07 (unitless)\n",
      "Avg Bnormal = 3.41342e-08 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 4.28133e-29\n",
      "##########################################################\n",
      "chi^2 B = 4.07971e-10\n",
      "min Bnormal = 7.02801e-19 (T)\n",
      "Max Bnormal = 1.65779e-07 (T)\n",
      "Avg Bnormal = 3.47023e-08 (T)\n",
      "min Bnormal = 6.91284e-19 (unitless)\n",
      "Max Bnormal = 1.63062e-07 (unitless)\n",
      "Avg Bnormal = 3.41336e-08 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 1.83298e-27\n",
      "##########################################################\n",
      "chi^2 B = 4.07984e-10\n",
      "min Bnormal = 9.58239e-19 (T)\n",
      "Max Bnormal = 1.65993e-07 (T)\n",
      "Avg Bnormal = 3.46812e-08 (T)\n",
      "min Bnormal = 9.42535e-19 (unitless)\n",
      "Max Bnormal = 1.63272e-07 (unitless)\n",
      "Avg Bnormal = 3.41129e-08 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 7.84760e-26\n",
      "##########################################################\n",
      "chi^2 B = 4.12925e-10\n",
      "min Bnormal = 1.16578e-18 (T)\n",
      "Max Bnormal = 1.64413e-07 (T)\n",
      "Avg Bnormal = 3.41328e-08 (T)\n",
      "min Bnormal = 1.14668e-18 (unitless)\n",
      "Max Bnormal = 1.61719e-07 (unitless)\n",
      "Avg Bnormal = 3.35734e-08 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 3.35982e-24\n",
      "##########################################################\n",
      "chi^2 B = 5.70852e-10\n",
      "min Bnormal = 1.42122e-18 (T)\n",
      "Max Bnormal = 2.04259e-07 (T)\n",
      "Avg Bnormal = 3.51822e-08 (T)\n",
      "min Bnormal = 1.39793e-18 (unitless)\n",
      "Max Bnormal = 2.00912e-07 (unitless)\n",
      "Avg Bnormal = 3.46057e-08 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 1.43845e-22\n",
      "##########################################################\n",
      "chi^2 B = 1.33701e-09\n",
      "min Bnormal = 1.46911e-18 (T)\n",
      "Max Bnormal = 3.05623e-07 (T)\n",
      "Avg Bnormal = 4.73100e-08 (T)\n",
      "min Bnormal = 1.44504e-18 (unitless)\n",
      "Max Bnormal = 3.00614e-07 (unitless)\n",
      "Avg Bnormal = 4.65347e-08 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 6.15848e-21\n",
      "##########################################################\n",
      "chi^2 B = 4.16729e-09\n",
      "min Bnormal = 1.66070e-18 (T)\n",
      "Max Bnormal = 4.80916e-07 (T)\n",
      "Avg Bnormal = 7.76609e-08 (T)\n",
      "min Bnormal = 1.63348e-18 (unitless)\n",
      "Max Bnormal = 4.73035e-07 (unitless)\n",
      "Avg Bnormal = 7.63882e-08 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 2.63665e-19\n",
      "##########################################################\n",
      "chi^2 B = 1.77172e-08\n",
      "min Bnormal = 2.17156e-18 (T)\n",
      "Max Bnormal = 8.76524e-07 (T)\n",
      "Avg Bnormal = 1.83312e-07 (T)\n",
      "min Bnormal = 2.13598e-18 (unitless)\n",
      "Max Bnormal = 8.62160e-07 (unitless)\n",
      "Avg Bnormal = 1.80308e-07 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 1.12884e-17\n",
      "##########################################################\n",
      "chi^2 B = 2.41542e-07\n",
      "min Bnormal = 1.94781e-18 (T)\n",
      "Max Bnormal = 3.89397e-06 (T)\n",
      "Avg Bnormal = 1.07449e-06 (T)\n",
      "min Bnormal = 1.91589e-18 (unitless)\n",
      "Max Bnormal = 3.83016e-06 (unitless)\n",
      "Avg Bnormal = 1.05688e-06 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 4.83293e-16\n",
      "##########################################################\n",
      "chi^2 B = 4.82729e-05\n",
      "min Bnormal = 1.87758e-18 (T)\n",
      "Max Bnormal = 5.24251e-05 (T)\n",
      "Avg Bnormal = 1.85703e-05 (T)\n",
      "min Bnormal = 1.84681e-18 (unitless)\n",
      "Max Bnormal = 5.15659e-05 (unitless)\n",
      "Avg Bnormal = 1.82660e-05 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 2.06914e-14\n",
      "##########################################################\n",
      "chi^2 B = 7.67310e-03\n",
      "min Bnormal = 1.60064e-18 (T)\n",
      "Max Bnormal = 5.39950e-04 (T)\n",
      "Avg Bnormal = 2.21154e-04 (T)\n",
      "min Bnormal = 1.57440e-18 (unitless)\n",
      "Max Bnormal = 5.31101e-04 (unitless)\n",
      "Avg Bnormal = 2.17530e-04 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 8.85867e-13\n",
      "##########################################################\n",
      "chi^2 B = 6.03348e-02\n",
      "min Bnormal = 1.94279e-18 (T)\n",
      "Max Bnormal = 1.52331e-03 (T)\n",
      "Avg Bnormal = 5.98922e-04 (T)\n",
      "min Bnormal = 1.91096e-18 (unitless)\n",
      "Max Bnormal = 1.49834e-03 (unitless)\n",
      "Avg Bnormal = 5.89107e-04 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 3.79269e-11\n",
      "##########################################################\n",
      "chi^2 B = 7.47011e-02\n",
      "min Bnormal = 1.88830e-18 (T)\n",
      "Max Bnormal = 1.71347e-03 (T)\n",
      "Avg Bnormal = 6.63312e-04 (T)\n",
      "min Bnormal = 1.85736e-18 (unitless)\n",
      "Max Bnormal = 1.68539e-03 (unitless)\n",
      "Avg Bnormal = 6.52442e-04 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 1.62378e-09\n",
      "##########################################################\n",
      "chi^2 B = 7.51454e-02\n",
      "min Bnormal = 1.84068e-18 (T)\n",
      "Max Bnormal = 1.71899e-03 (T)\n",
      "Avg Bnormal = 6.65255e-04 (T)\n",
      "min Bnormal = 1.81051e-18 (unitless)\n",
      "Max Bnormal = 1.69082e-03 (unitless)\n",
      "Avg Bnormal = 6.54353e-04 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 6.95193e-08\n",
      "##########################################################\n",
      "chi^2 B = 7.51558e-02\n",
      "min Bnormal = 1.84068e-18 (T)\n",
      "Max Bnormal = 1.71912e-03 (T)\n",
      "Avg Bnormal = 6.65300e-04 (T)\n",
      "min Bnormal = 1.81052e-18 (unitless)\n",
      "Max Bnormal = 1.69095e-03 (unitless)\n",
      "Avg Bnormal = 6.54398e-04 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 2.97635e-06\n",
      "##########################################################\n",
      "chi^2 B = 7.51561e-02\n",
      "min Bnormal = 1.88858e-18 (T)\n",
      "Max Bnormal = 1.71912e-03 (T)\n",
      "Avg Bnormal = 6.65301e-04 (T)\n",
      "min Bnormal = 1.85763e-18 (unitless)\n",
      "Max Bnormal = 1.69095e-03 (unitless)\n",
      "Avg Bnormal = 6.54399e-04 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 1.27427e-04\n",
      "##########################################################\n",
      "chi^2 B = 7.51561e-02\n",
      "min Bnormal = 1.76086e-18 (T)\n",
      "Max Bnormal = 1.71912e-03 (T)\n",
      "Avg Bnormal = 6.65301e-04 (T)\n",
      "min Bnormal = 1.73200e-18 (unitless)\n",
      "Max Bnormal = 1.69095e-03 (unitless)\n",
      "Avg Bnormal = 6.54399e-04 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 5.45559e-03\n",
      "##########################################################\n",
      "chi^2 B = 7.51561e-02\n",
      "min Bnormal = 1.90454e-18 (T)\n",
      "Max Bnormal = 1.71912e-03 (T)\n",
      "Avg Bnormal = 6.65301e-04 (T)\n",
      "min Bnormal = 1.87333e-18 (unitless)\n",
      "Max Bnormal = 1.69095e-03 (unitless)\n",
      "Avg Bnormal = 6.54399e-04 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 2.33572e-01\n",
      "##########################################################\n",
      "chi^2 B = 7.51561e-02\n",
      "min Bnormal = 1.88858e-18 (T)\n",
      "Max Bnormal = 1.71912e-03 (T)\n",
      "Avg Bnormal = 6.65301e-04 (T)\n",
      "min Bnormal = 1.85763e-18 (unitless)\n",
      "Max Bnormal = 1.69095e-03 (unitless)\n",
      "Avg Bnormal = 6.54399e-04 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 1.00000e+01\n",
      "##########################################################\n",
      "chi^2 B = 7.51561e-02\n",
      "min Bnormal = 1.80875e-18 (T)\n",
      "Max Bnormal = 1.71912e-03 (T)\n",
      "Avg Bnormal = 6.65301e-04 (T)\n",
      "min Bnormal = 1.77911e-18 (unitless)\n",
      "Max Bnormal = 1.69095e-03 (unitless)\n",
      "Avg Bnormal = 6.54399e-04 (unitless)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432.324x288.216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432.324x288.216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432.324x288.216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864.648x576.432 with 32 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864.648x576.432 with 32 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864.648x576.432 with 32 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# create the FourierCurrentPotentialField object from the constant offset surface we found in the previous cell\n",
    "surface_current_field = FourierCurrentPotentialField.from_surface(\n",
    "    surf,\n",
    "    I=0,\n",
    "    # manually setting G to value needed to provide the equilibrium's toroidal flux,\n",
    "    # though this is not necessary as it gets set automatically inside the solve_regularized_surface_current function\n",
    "    G=np.asarray(\n",
    "        [\n",
    "            -eq.compute(\"G\", grid=LinearGrid(rho=np.array(1.0)))[\"G\"][0]\n",
    "            / mu_0\n",
    "            * 2\n",
    "            * np.pi\n",
    "        ]\n",
    "    ),\n",
    "    # set symmetry of the current potential, \"sin\" is usually expected for stellarator-symmetric surfaces and equilibria\n",
    "    sym_Phi=\"sin\",\n",
    ")\n",
    "\n",
    "surface_current_field.change_Phi_resolution(M=12, N=12)\n",
    "\n",
    "# create the evaluation grid (where Bn will be minimized on plasma surface)\n",
    "# and source grid (discretizes the source K for Biot-Savart and where |K| will be penalized on winding surface)\n",
    "Megrid = 15\n",
    "Negrid = 15\n",
    "Msgrid = 25\n",
    "Nsgrid = 25\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": 8,
   "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": 8,
     "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": 9,
   "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 = 4.99023e-06\n",
      "min Bnormal = 3.48112e-18 (T)\n",
      "Max Bnormal = 2.01467e-05 (T)\n",
      "Avg Bnormal = 4.78744e-06 (T)\n",
      "min Bnormal = 3.42407e-18 (unitless)\n",
      "Max Bnormal = 1.98165e-05 (unitless)\n",
      "Avg Bnormal = 4.70899e-06 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 1.00000e-30\n",
      "##########################################################\n",
      "chi^2 B = 4.99023e-06\n",
      "min Bnormal = 3.70462e-18 (T)\n",
      "Max Bnormal = 2.01467e-05 (T)\n",
      "Avg Bnormal = 4.78744e-06 (T)\n",
      "min Bnormal = 3.64391e-18 (unitless)\n",
      "Max Bnormal = 1.98165e-05 (unitless)\n",
      "Avg Bnormal = 4.70899e-06 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 4.28133e-29\n",
      "##########################################################\n",
      "chi^2 B = 4.99023e-06\n",
      "min Bnormal = 3.64076e-18 (T)\n",
      "Max Bnormal = 2.01467e-05 (T)\n",
      "Avg Bnormal = 4.78744e-06 (T)\n",
      "min Bnormal = 3.58110e-18 (unitless)\n",
      "Max Bnormal = 1.98165e-05 (unitless)\n",
      "Avg Bnormal = 4.70899e-06 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 1.83298e-27\n",
      "##########################################################\n",
      "chi^2 B = 4.99023e-06\n",
      "min Bnormal = 3.72059e-18 (T)\n",
      "Max Bnormal = 2.01467e-05 (T)\n",
      "Avg Bnormal = 4.78744e-06 (T)\n",
      "min Bnormal = 3.65962e-18 (unitless)\n",
      "Max Bnormal = 1.98165e-05 (unitless)\n",
      "Avg Bnormal = 4.70899e-06 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 7.84760e-26\n",
      "##########################################################\n",
      "chi^2 B = 4.99023e-06\n",
      "min Bnormal = 3.43322e-18 (T)\n",
      "Max Bnormal = 2.01467e-05 (T)\n",
      "Avg Bnormal = 4.78744e-06 (T)\n",
      "min Bnormal = 3.37696e-18 (unitless)\n",
      "Max Bnormal = 1.98165e-05 (unitless)\n",
      "Avg Bnormal = 4.70899e-06 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 3.35982e-24\n",
      "##########################################################\n",
      "chi^2 B = 4.99023e-06\n",
      "min Bnormal = 3.64076e-18 (T)\n",
      "Max Bnormal = 2.01467e-05 (T)\n",
      "Avg Bnormal = 4.78744e-06 (T)\n",
      "min Bnormal = 3.58110e-18 (unitless)\n",
      "Max Bnormal = 1.98165e-05 (unitless)\n",
      "Avg Bnormal = 4.70899e-06 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 1.43845e-22\n",
      "##########################################################\n",
      "chi^2 B = 4.99023e-06\n",
      "min Bnormal = 3.72059e-18 (T)\n",
      "Max Bnormal = 2.01467e-05 (T)\n",
      "Avg Bnormal = 4.78744e-06 (T)\n",
      "min Bnormal = 3.65962e-18 (unitless)\n",
      "Max Bnormal = 1.98165e-05 (unitless)\n",
      "Avg Bnormal = 4.70899e-06 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 6.15848e-21\n",
      "##########################################################\n",
      "chi^2 B = 4.99015e-06\n",
      "min Bnormal = 3.83234e-18 (T)\n",
      "Max Bnormal = 2.01473e-05 (T)\n",
      "Avg Bnormal = 4.78744e-06 (T)\n",
      "min Bnormal = 3.76954e-18 (unitless)\n",
      "Max Bnormal = 1.98172e-05 (unitless)\n",
      "Avg Bnormal = 4.70898e-06 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 2.63665e-19\n",
      "##########################################################\n",
      "chi^2 B = 4.98767e-06\n",
      "min Bnormal = 3.75250e-18 (T)\n",
      "Max Bnormal = 2.01784e-05 (T)\n",
      "Avg Bnormal = 4.78814e-06 (T)\n",
      "min Bnormal = 3.69101e-18 (unitless)\n",
      "Max Bnormal = 1.98477e-05 (unitless)\n",
      "Avg Bnormal = 4.70968e-06 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 1.12884e-17\n",
      "##########################################################\n",
      "chi^2 B = 5.65167e-06\n",
      "min Bnormal = 3.87962e-18 (T)\n",
      "Max Bnormal = 2.18047e-05 (T)\n",
      "Avg Bnormal = 5.14488e-06 (T)\n",
      "min Bnormal = 3.81604e-18 (unitless)\n",
      "Max Bnormal = 2.14473e-05 (unitless)\n",
      "Avg Bnormal = 5.06057e-06 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 4.83293e-16\n",
      "##########################################################\n",
      "chi^2 B = 6.37337e-04\n",
      "min Bnormal = 3.58516e-18 (T)\n",
      "Max Bnormal = 1.43486e-04 (T)\n",
      "Avg Bnormal = 4.73603e-05 (T)\n",
      "min Bnormal = 3.52641e-18 (unitless)\n",
      "Max Bnormal = 1.41134e-04 (unitless)\n",
      "Avg Bnormal = 4.65841e-05 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 2.06914e-14\n",
      "##########################################################\n",
      "chi^2 B = 8.11149e-02\n",
      "min Bnormal = 2.20360e-18 (T)\n",
      "Max Bnormal = 1.93843e-03 (T)\n",
      "Avg Bnormal = 5.94520e-04 (T)\n",
      "min Bnormal = 2.16749e-18 (unitless)\n",
      "Max Bnormal = 1.90666e-03 (unitless)\n",
      "Avg Bnormal = 5.84777e-04 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 8.85867e-13\n",
      "##########################################################\n",
      "chi^2 B = 4.34538e-01\n",
      "min Bnormal = 1.04018e-18 (T)\n",
      "Max Bnormal = 5.48838e-03 (T)\n",
      "Avg Bnormal = 1.57351e-03 (T)\n",
      "min Bnormal = 1.02313e-18 (unitless)\n",
      "Max Bnormal = 5.39844e-03 (unitless)\n",
      "Avg Bnormal = 1.54772e-03 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 3.79269e-11\n",
      "##########################################################\n",
      "chi^2 B = 5.17334e-01\n",
      "min Bnormal = 8.53027e-19 (T)\n",
      "Max Bnormal = 6.22178e-03 (T)\n",
      "Avg Bnormal = 1.75939e-03 (T)\n",
      "min Bnormal = 8.39048e-19 (unitless)\n",
      "Max Bnormal = 6.11982e-03 (unitless)\n",
      "Avg Bnormal = 1.73056e-03 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 1.62378e-09\n",
      "##########################################################\n",
      "chi^2 B = 5.19764e-01\n",
      "min Bnormal = 8.47328e-19 (T)\n",
      "Max Bnormal = 6.24216e-03 (T)\n",
      "Avg Bnormal = 1.76465e-03 (T)\n",
      "min Bnormal = 8.33442e-19 (unitless)\n",
      "Max Bnormal = 6.13987e-03 (unitless)\n",
      "Avg Bnormal = 1.73573e-03 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 6.95193e-08\n",
      "##########################################################\n",
      "chi^2 B = 5.19821e-01\n",
      "min Bnormal = 8.47215e-19 (T)\n",
      "Max Bnormal = 6.24264e-03 (T)\n",
      "Avg Bnormal = 1.76477e-03 (T)\n",
      "min Bnormal = 8.33331e-19 (unitless)\n",
      "Max Bnormal = 6.14034e-03 (unitless)\n",
      "Avg Bnormal = 1.73585e-03 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 2.97635e-06\n",
      "##########################################################\n",
      "chi^2 B = 5.19822e-01\n",
      "min Bnormal = 8.47213e-19 (T)\n",
      "Max Bnormal = 6.24265e-03 (T)\n",
      "Avg Bnormal = 1.76478e-03 (T)\n",
      "min Bnormal = 8.33329e-19 (unitless)\n",
      "Max Bnormal = 6.14035e-03 (unitless)\n",
      "Avg Bnormal = 1.73586e-03 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 1.27427e-04\n",
      "##########################################################\n",
      "chi^2 B = 5.19822e-01\n",
      "min Bnormal = 8.47213e-19 (T)\n",
      "Max Bnormal = 6.24265e-03 (T)\n",
      "Avg Bnormal = 1.76478e-03 (T)\n",
      "min Bnormal = 8.33329e-19 (unitless)\n",
      "Max Bnormal = 6.14035e-03 (unitless)\n",
      "Avg Bnormal = 1.73586e-03 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 5.45559e-03\n",
      "##########################################################\n",
      "chi^2 B = 5.19822e-01\n",
      "min Bnormal = 8.47213e-19 (T)\n",
      "Max Bnormal = 6.24265e-03 (T)\n",
      "Avg Bnormal = 1.76478e-03 (T)\n",
      "min Bnormal = 8.33329e-19 (unitless)\n",
      "Max Bnormal = 6.14035e-03 (unitless)\n",
      "Avg Bnormal = 1.73586e-03 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 2.33572e-01\n",
      "##########################################################\n",
      "chi^2 B = 5.19822e-01\n",
      "min Bnormal = 8.47213e-19 (T)\n",
      "Max Bnormal = 6.24265e-03 (T)\n",
      "Avg Bnormal = 1.76478e-03 (T)\n",
      "min Bnormal = 8.33329e-19 (unitless)\n",
      "Max Bnormal = 6.14035e-03 (unitless)\n",
      "Avg Bnormal = 1.73586e-03 (unitless)\n",
      "##########################################################\n",
      "Calculating Phi_SV for lambda_regularization = 1.00000e+01\n",
      "##########################################################\n",
      "chi^2 B = 5.19822e-01\n",
      "min Bnormal = 8.47213e-19 (T)\n",
      "Max Bnormal = 6.24265e-03 (T)\n",
      "Avg Bnormal = 1.76478e-03 (T)\n",
      "min Bnormal = 8.33329e-19 (unitless)\n",
      "Max Bnormal = 6.14035e-03 (unitless)\n",
      "Avg Bnormal = 1.73586e-03 (unitless)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432.324x288.216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432.324x288.216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432.324x288.216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864.648x576.432 with 32 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864.648x576.432 with 32 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 864.648x576.432 with 32 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# create the FourierCurrentPotentialField object from the constant offset surface we found in the previous cell\n",
    "surface_current_field_helical = FourierCurrentPotentialField.from_surface(\n",
    "    surf,\n",
    "    I=0,  # this will be overwritten with the `solve_regularized_surface_current` call\n",
    "    # manually setting G to value needed to provide the equilibrium's toroidal flux\n",
    "    G=np.asarray(\n",
    "        [\n",
    "            -eq.compute(\"G\", grid=LinearGrid(rho=np.array(1.0)))[\"G\"][0]\n",
    "            / mu_0\n",
    "            * 2\n",
    "            * np.pi\n",
    "        ]\n",
    "    ),\n",
    "    # set symmetry of the current potential, \"sin\" is usually expected for stellarator-symmetric surfaces and equilibria\n",
    "    sym_Phi=\"sin\",\n",
    ")\n",
    "# we use the same grids from the above cells\n",
    "\n",
    "surface_current_field_helical.change_Phi_resolution(M=6, N=6)\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": 10,
   "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",
    "# index 8 corresponds to lambda_regularization=~1e-17\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": 11,
   "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: 3562\n",
      "\n",
      "Starting optimization\n",
      "Using method: lsq-exact\n",
      "Warning: Maximum number of iterations has been exceeded.\n",
      "         Current function value: 8.256e-05\n",
      "         Total delta_x: 5.311e-09\n",
      "         Iterations: 1\n",
      "         Function evaluations: 5\n",
      "         Jacobian evaluations: 2\n",
      "==============================================================================================================\n",
      "                                                                 Start  -->   End\n",
      "Total (sum of squares):                                      8.256e-05  -->   8.256e-05, \n",
      "Maximum absolute Boundary normal field error:                9.497e-05  -->   9.497e-05 (T m^2)\n",
      "Minimum absolute Boundary normal field error:                6.039e-17  -->   4.181e-17 (T m^2)\n",
      "Average absolute Boundary normal field error:                1.265e-05  -->   1.265e-05 (T m^2)\n",
      "Maximum absolute Surface Current Regularization:             1.173e+06  -->   1.173e+06 (A)\n",
      "Minimum absolute Surface Current Regularization:             3.061e+05  -->   3.061e+05 (A)\n",
      "Average absolute Surface Current Regularization:             6.044e+05  -->   6.044e+05 (A)\n",
      "Fixed parameters error:                                      0.000e+00  -->   0.000e+00 (~)\n",
      "==============================================================================================================\n",
      "\n"
     ]
    }
   ],
   "source": [
    "surface_current_field0 = surface_current_field.copy()\n",
    "# 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",
    "    normalize=False,\n",
    "    normalize_target=False,  # don't use normalizations, to match the REGCOIL problem exactly\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",
    "    normalize=False,\n",
    "    normalize_target=False,  # don't use normalizations, to match the REGCOIL problem exactly\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": 12,
   "id": "9699fa91",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432.324x432.324 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432.324x432.324 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plot_2d(\n",
    "    eq.surface,\n",
    "    \"B*n\",\n",
    "    field=surface_current_field,\n",
    "    field_grid=LinearGrid(M=80, N=80, NFP=eq.NFP),\n",
    "    cmap=\"viridis\",\n",
    ")\n",
    "\n",
    "plot_2d(surface_current_field, \"Phi\", levels=10, filled=False);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "777e5fa8-a49c-4451-913e-7b555e94f4a6",
   "metadata": {},
   "source": [
    "## Create Coils from Surface Current"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "893f3f09-fb15-4128-a64c-d9bf280acbe5",
   "metadata": {},
   "source": [
    "Now that we have the surface current, we can take a selection of constant $\\Phi$ contours to discretize the surface current into coils. This can be done easily via the `FourierCurrentPotentialField.to_CoilSet` method, which will take the surface current field and return a discretized coilset with the desired total number of coils `num_coils`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "b55bc702-a4e4-42bc-a302-4611220908f3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432.324x432.324 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# for reference when we look at B normal errors we will plot the equilibrium magnetic field, it is roughly 1 T\n",
    "plot_2d(eq, \"|B|\");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "24639e12-1f31-48e3-bf58-553164e0b5c8",
   "metadata": {},
   "source": [
    "### Modular"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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": 15,
   "id": "bec12bd7-d442-4355-8acb-30284c98c16e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Bn calc took 1.986e+00 seconds\n",
      "normalized average <Bn> = 0.0036898414547581223\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432.324x288.216 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import time\n",
    "\n",
    "t1 = time.time()\n",
    "grid = LinearGrid(M=80, N=80, NFP=eq.NFP)\n",
    "Bn, _ = coilset.compute_Bnormal(eq.surface, eval_grid=grid)\n",
    "print(f\"Bn calc took {time.time()-t1:1.3e} seconds\")\n",
    "plt.figure()\n",
    "plt.contourf(\n",
    "    grid.nodes[grid.unique_zeta_idx, 2],\n",
    "    grid.nodes[grid.unique_theta_idx, 1],\n",
    "    Bn.reshape((grid.num_zeta, grid.num_theta)).T,\n",
    ")\n",
    "plt.title(\"DESC Bnormal (Coils)\")\n",
    "plt.xlabel(r\"$\\zeta$\")\n",
    "plt.ylabel(r\"$\\theta$\")\n",
    "\n",
    "plt.colorbar()\n",
    "\n",
    "print(\n",
    "    f\"normalized average <Bn> = {np.mean(np.abs(Bn) / eq.compute('|B|',grid=grid)['|B|'])}\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "b53b5c58",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Bn calc took 5.668e-01 seconds\n",
      "normalized average <Bn> = 0.0036912182382021173\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432.324x288.216 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import time\n",
    "\n",
    "grid = LinearGrid(M=80, N=80, NFP=eq.NFP)\n",
    "coilset = coilset.to_FourierXYZ(\n",
    "    N=20\n",
    ")  # converting to a Fourier series will make the calculations more efficient\n",
    "t1 = time.time()\n",
    "Bn, _ = coilset.compute_Bnormal(eq.surface, eval_grid=grid)\n",
    "print(f\"Bn calc took {time.time()-t1:1.3e} seconds\")\n",
    "plt.figure()\n",
    "plt.contourf(\n",
    "    grid.nodes[grid.unique_zeta_idx, 2],\n",
    "    grid.nodes[grid.unique_theta_idx, 1],\n",
    "    Bn.reshape((grid.num_zeta, grid.num_theta)).T,\n",
    ")\n",
    "plt.title(\"DESC Bnormal (Coils)\")\n",
    "plt.xlabel(r\"$\\zeta$\")\n",
    "plt.ylabel(r\"$\\theta$\")\n",
    "\n",
    "plt.colorbar()\n",
    "\n",
    "print(\n",
    "    f\"normalized average <Bn> = {np.mean(np.abs(Bn) / eq.compute('|B|',grid=grid)['|B|'])}\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "85e530b2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864.648x720.54 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Field line integration (on a CPU this can about a minute)\n",
    "plot_field_lines(coilset, eq);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "8a752a2e-aff1-46e5-9ee2-ae8cf64a0a49",
   "metadata": {},
   "outputs": [
    {
     "data": {
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t=[\"ERROR:\"];for(e=0;e<arguments.length;e++)t.push(arguments[e]);console.error.apply(console,t)}if(o3.notifyOnLogging>0){var r=[];for(e=0;e<arguments.length;e++)r.push(arguments[e]);kO(r.join(\"<br>\"),\"stick\")}}});var x6=ye((Itr,hte)=>{\"use strict\";hte.exports=function(){}});var PO=ye((Rtr,dte)=>{\"use strict\";dte.exports=function(t,r){if(r instanceof RegExp){for(var n=r.toString(),i=0;i<t.length;i++)if(t[i]instanceof RegExp&&t[i].toString()===n)return t;t.push(r)}else(r||r===0)&&t.indexOf(r)===-1&&t.push(r);return t}});var pte=ye((Dtr,vte)=>{vte.exports=ktt;function ktt(){var e=new Float32Array(16);return e[0]=1,e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=1,e[6]=0,e[7]=0,e[8]=0,e[9]=0,e[10]=1,e[11]=0,e[12]=0,e[13]=0,e[14]=0,e[15]=1,e}});var mte=ye((Ftr,gte)=>{gte.exports=Ltt;function Ltt(e){var t=new Float32Array(16);return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}});var _te=ye((ztr,yte)=>{yte.exports=Ptt;function Ptt(e,t){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}});var IO=ye((Otr,xte)=>{xte.exports=Itt;function Itt(e){return e[0]=1,e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=1,e[6]=0,e[7]=0,e[8]=0,e[9]=0,e[10]=1,e[11]=0,e[12]=0,e[13]=0,e[14]=0,e[15]=1,e}});var wte=ye((qtr,bte)=>{bte.exports=Rtt;function Rtt(e,t){if(e===t){var r=t[1],n=t[2],i=t[3],a=t[6],o=t[7],s=t[11];e[1]=t[4],e[2]=t[8],e[3]=t[12],e[4]=r,e[6]=t[9],e[7]=t[13],e[8]=n,e[9]=a,e[11]=t[14],e[12]=i,e[13]=o,e[14]=s}else 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r=t[0],n=t[1],i=t[2],a=t[3],o=t[4],s=t[5],l=t[6],u=t[7],c=t[8],f=t[9],h=t[10],d=t[11],v=t[12],x=t[13],b=t[14],p=t[15];return e[0]=s*(h*p-d*b)-f*(l*p-u*b)+x*(l*d-u*h),e[1]=-(n*(h*p-d*b)-f*(i*p-a*b)+x*(i*d-a*h)),e[2]=n*(l*p-u*b)-s*(i*p-a*b)+x*(i*u-a*l),e[3]=-(n*(l*d-u*h)-s*(i*d-a*h)+f*(i*u-a*l)),e[4]=-(o*(h*p-d*b)-c*(l*p-u*b)+v*(l*d-u*h)),e[5]=r*(h*p-d*b)-c*(i*p-a*b)+v*(i*d-a*h),e[6]=-(r*(l*p-u*b)-o*(i*p-a*b)+v*(i*u-a*l)),e[7]=r*(l*d-u*h)-o*(i*d-a*h)+c*(i*u-a*l),e[8]=o*(f*p-d*x)-c*(s*p-u*x)+v*(s*d-u*f),e[9]=-(r*(f*p-d*x)-c*(n*p-a*x)+v*(n*d-a*f)),e[10]=r*(s*p-u*x)-o*(n*p-a*x)+v*(n*u-a*s),e[11]=-(r*(s*d-u*f)-o*(n*d-a*f)+c*(n*u-a*s)),e[12]=-(o*(f*b-h*x)-c*(s*b-l*x)+v*(s*h-l*f)),e[13]=r*(f*b-h*x)-c*(n*b-i*x)+v*(n*h-i*f),e[14]=-(r*(s*b-l*x)-o*(n*b-i*x)+v*(n*l-i*s)),e[15]=r*(s*h-l*f)-o*(n*h-i*f)+c*(n*l-i*s),e}});var Cte=ye((Utr,Ete)=>{Ete.exports=ztt;function ztt(e){var 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n=r[0],i=r[1],a=r[2],o,s,l,u,c,f,h,d,v,x,b,p;return t===e?(e[12]=t[0]*n+t[4]*i+t[8]*a+t[12],e[13]=t[1]*n+t[5]*i+t[9]*a+t[13],e[14]=t[2]*n+t[6]*i+t[10]*a+t[14],e[15]=t[3]*n+t[7]*i+t[11]*a+t[15]):(o=t[0],s=t[1],l=t[2],u=t[3],c=t[4],f=t[5],h=t[6],d=t[7],v=t[8],x=t[9],b=t[10],p=t[11],e[0]=o,e[1]=s,e[2]=l,e[3]=u,e[4]=c,e[5]=f,e[6]=h,e[7]=d,e[8]=v,e[9]=x,e[10]=b,e[11]=p,e[12]=o*n+c*i+v*a+t[12],e[13]=s*n+f*i+x*a+t[13],e[14]=l*n+h*i+b*a+t[14],e[15]=u*n+d*i+p*a+t[15]),e}});var Dte=ye((Htr,Rte)=>{Rte.exports=Btt;function Btt(e,t,r){var n=r[0],i=r[1],a=r[2];return e[0]=t[0]*n,e[1]=t[1]*n,e[2]=t[2]*n,e[3]=t[3]*n,e[4]=t[4]*i,e[5]=t[5]*i,e[6]=t[6]*i,e[7]=t[7]*i,e[8]=t[8]*a,e[9]=t[9]*a,e[10]=t[10]*a,e[11]=t[11]*a,e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}});var zte=ye((jtr,Fte)=>{Fte.exports=Ntt;function Ntt(e,t,r,n){var i=n[0],a=n[1],o=n[2],s=Math.sqrt(i*i+a*a+o*o),l,u,c,f,h,d,v,x,b,p,C,E,A,L,_,k,M,g,P,T,z,O,V,G;return 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are=ye((irr,nre)=>{nre.exports=$tt;function $tt(e,t,r,n,i,a,o){var s=1/(r-t),l=1/(i-n),u=1/(a-o);return e[0]=a*2*s,e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=a*2*l,e[6]=0,e[7]=0,e[8]=(r+t)*s,e[9]=(i+n)*l,e[10]=(o+a)*u,e[11]=-1,e[12]=0,e[13]=0,e[14]=o*a*2*u,e[15]=0,e}});var sre=ye((nrr,ore)=>{ore.exports=Qtt;function Qtt(e,t,r,n,i){var a=1/Math.tan(t/2),o=1/(n-i);return e[0]=a/r,e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=a,e[6]=0,e[7]=0,e[8]=0,e[9]=0,e[10]=(i+n)*o,e[11]=-1,e[12]=0,e[13]=0,e[14]=2*i*n*o,e[15]=0,e}});var ure=ye((arr,lre)=>{lre.exports=ert;function ert(e,t,r,n){var i=Math.tan(t.upDegrees*Math.PI/180),a=Math.tan(t.downDegrees*Math.PI/180),o=Math.tan(t.leftDegrees*Math.PI/180),s=Math.tan(t.rightDegrees*Math.PI/180),l=2/(o+s),u=2/(i+a);return e[0]=l,e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=u,e[6]=0,e[7]=0,e[8]=-((o-s)*l*.5),e[9]=(i-a)*u*.5,e[10]=n/(r-n),e[11]=-1,e[12]=0,e[13]=0,e[14]=n*r/(r-n),e[15]=0,e}});var fre=ye((orr,cre)=>{cre.exports=trt;function trt(e,t,r,n,i,a,o){var 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WS=Oa(),qit=e3().utcFormat,Bit=mO().format,Xie=Eo(),Zie=hs(),Yie=Zie.FP_SAFE,Nit=-Yie,Vie=Zie.BADNUM,Si=ene.exports={};Si.adjustFormat=function(t){return!t||/^\\d[.]\\df/.test(t)||/[.]\\d%/.test(t)?t:t===\"0.f\"?\"~f\":/^\\d%/.test(t)?\"~%\":/^\\ds/.test(t)?\"~s\":!/^[~,.0$]/.test(t)&&/[&fps]/.test(t)?\"~\"+t:t};var Gie={};Si.warnBadFormat=function(e){var t=String(e);Gie[t]||(Gie[t]=1,Si.warn('encountered bad format: \"'+t+'\"'))};Si.noFormat=function(e){return String(e)};Si.numberFormat=function(e){var t;try{t=Bit(Si.adjustFormat(e))}catch(r){return Si.warnBadFormat(e),Si.noFormat}return t};Si.nestedProperty=CS();Si.keyedContainer=Dee();Si.relativeAttr=zee();Si.isPlainObject=gy();Si.toLogRange=p6();Si.relinkPrivateKeys=Nee();var J1=vv();Si.isArrayBuffer=J1.isArrayBuffer;Si.isTypedArray=J1.isTypedArray;Si.isArrayOrTypedArray=J1.isArrayOrTypedArray;Si.isArray1D=J1.isArray1D;Si.ensureArray=J1.ensureArray;Si.concat=J1.concat;Si.maxRowLength=J1.maxRowLength;Si.minRowLength=J1.minRowLength;var Kie=r3();Si.mod=Kie.mod;Si.modHalf=Kie.modHalf;var $1=ate();Si.valObjectMeta=$1.valObjectMeta;Si.coerce=$1.coerce;Si.coerce2=$1.coerce2;Si.coerceFont=$1.coerceFont;Si.coercePattern=$1.coercePattern;Si.coerceHoverinfo=$1.coerceHoverinfo;Si.coerceSelectionMarkerOpacity=$1.coerceSelectionMarkerOpacity;Si.validate=$1.validate;var jp=hie();Si.dateTime2ms=jp.dateTime2ms;Si.isDateTime=jp.isDateTime;Si.ms2DateTime=jp.ms2DateTime;Si.ms2DateTimeLocal=jp.ms2DateTimeLocal;Si.cleanDate=jp.cleanDate;Si.isJSDate=jp.isJSDate;Si.formatDate=jp.formatDate;Si.incrementMonth=jp.incrementMonth;Si.dateTick0=jp.dateTick0;Si.dfltRange=jp.dfltRange;Si.findExactDates=jp.findExactDates;Si.MIN_MS=jp.MIN_MS;Si.MAX_MS=jp.MAX_MS;var db=P6();Si.findBin=db.findBin;Si.sorterAsc=db.sorterAsc;Si.sorterDes=db.sorterDes;Si.distinctVals=db.distinctVals;Si.roundUp=db.roundUp;Si.sort=db.sort;Si.findIndexOfMin=db.findIndexOfMin;Si.sortObjectKeys=Y1();var by=pie();Si.aggNums=by.aggNums;Si.len=by.len;Si.mean=by.mean;Si.geometricMean=by.geometricMean;Si.median=by.median;Si.midRange=by.midRange;Si.variance=by.variance;Si.stdev=by.stdev;Si.interp=by.interp;var yg=b6();Si.init2dArray=yg.init2dArray;Si.transposeRagged=yg.transposeRagged;Si.dot=yg.dot;Si.translationMatrix=yg.translationMatrix;Si.rotationMatrix=yg.rotationMatrix;Si.rotationXYMatrix=yg.rotationXYMatrix;Si.apply3DTransform=yg.apply3DTransform;Si.apply2DTransform=yg.apply2DTransform;Si.apply2DTransform2=yg.apply2DTransform2;Si.convertCssMatrix=yg.convertCssMatrix;Si.inverseTransformMatrix=yg.inverseTransformMatrix;var vm=xie();Si.deg2rad=vm.deg2rad;Si.rad2deg=vm.rad2deg;Si.angleDelta=vm.angleDelta;Si.angleDist=vm.angleDist;Si.isFullCircle=vm.isFullCircle;Si.isAngleInsideSector=vm.isAngleInsideSector;Si.isPtInsideSector=vm.isPtInsideSector;Si.pathArc=vm.pathArc;Si.pathSector=vm.pathSector;Si.pathAnnulus=vm.pathAnnulus;var d3=bie();Si.isLeftAnchor=d3.isLeftAnchor;Si.isCenterAnchor=d3.isCenterAnchor;Si.isRightAnchor=d3.isRightAnchor;Si.isTopAnchor=d3.isTopAnchor;Si.isMiddleAnchor=d3.isMiddleAnchor;Si.isBottomAnchor=d3.isBottomAnchor;var v3=Aie();Si.segmentsIntersect=v3.segmentsIntersect;Si.segmentDistance=v3.segmentDistance;Si.getTextLocation=v3.getTextLocation;Si.clearLocationCache=v3.clearLocationCache;Si.getVisibleSegment=v3.getVisibleSegment;Si.findPointOnPath=v3.findPointOnPath;var q6=Ao();Si.extendFlat=q6.extendFlat;Si.extendDeep=q6.extendDeep;Si.extendDeepAll=q6.extendDeepAll;Si.extendDeepNoArrays=q6.extendDeepNoArrays;var YO=H1();Si.log=YO.log;Si.warn=YO.warn;Si.error=YO.error;var Uit=n3();Si.counterRegex=Uit.counter;var KO=D6();Si.throttle=KO.throttle;Si.throttleDone=KO.done;Si.clearThrottle=KO.clear;var _g=OS();Si.getGraphDiv=_g.getGraphDiv;Si.isPlotDiv=_g.isPlotDiv;Si.removeElement=_g.removeElement;Si.addStyleRule=_g.addStyleRule;Si.addRelatedStyleRule=_g.addRelatedStyleRule;Si.deleteRelatedStyleRule=_g.deleteRelatedStyleRule;Si.setStyleOnHover=_g.setStyleOnHover;Si.getFullTransformMatrix=_g.getFullTransformMatrix;Si.getElementTransformMatrix=_g.getElementTransformMatrix;Si.getElementAndAncestors=_g.getElementAndAncestors;Si.equalDomRects=_g.equalDomRects;Si.clearResponsive=Eie();Si.preserveDrawingBuffer=Lie();Si.makeTraceGroups=Iie();Si._=Die();Si.notifier=CO();Si.filterUnique=ZO();Si.filterVisible=Oie();Si.pushUnique=PO();Si.increment=Bie();Si.cleanNumber=Uie();Si.ensureNumber=function(t){return Xie(t)?(t=Number(t),t>Yie||t<Nit?Vie:t):Vie};Si.isIndex=function(e,t){return t!==void 0&&e>=t?!1:Xie(e)&&e>=0&&e%1===0};Si.noop=x6();Si.identity=VS();Si.repeat=function(e,t){for(var r=new Array(t),n=0;n<t;n++)r[n]=e;return r};Si.swapAttrs=function(e,t,r,n){r||(r=\"x\"),n||(n=\"y\");for(var i=0;i<t.length;i++){var a=t[i],o=Si.nestedProperty(e,a.replace(\"?\",r)),s=Si.nestedProperty(e,a.replace(\"?\",n)),l=o.get();o.set(s.get()),s.set(l)}};Si.raiseToTop=function(t){t.parentNode.appendChild(t)};Si.cancelTransition=function(e){return e.transition().duration(0)};Si.constrain=function(e,t,r){return t>r?Math.max(r,Math.min(t,e)):Math.max(t,Math.min(r,e))};Si.bBoxIntersect=function(e,t,r){return r=r||0,e.left<=t.right+r&&t.left<=e.right+r&&e.top<=t.bottom+r&&t.top<=e.bottom+r};Si.simpleMap=function(e,t,r,n,i){for(var a=e.length,o=new Array(a),s=0;s<a;s++)o[s]=t(e[s],r,n,i);return o};Si.randstr=function e(t,r,n,i){if(n||(n=16),r===void 0&&(r=24),r<=0)return\"0\";var a=Math.log(Math.pow(2,r))/Math.log(n),o=\"\",s,l,u;for(s=2;a===1/0;s*=2)a=Math.log(Math.pow(2,r/s))/Math.log(n)*s;var c=a-Math.floor(a);for(s=0;s<Math.floor(a);s++)u=Math.floor(Math.random()*n).toString(n),o=u+o;c&&(l=Math.pow(n,c),u=Math.floor(Math.random()*l).toString(n),o=u+o);var f=parseInt(o,n);return t&&t[o]||f!==1/0&&f>=Math.pow(2,r)?i>10?(Si.warn(\"randstr failed uniqueness\"),o):e(t,r,n,(i||0)+1):o};Si.OptionControl=function(e,t){e||(e={}),t||(t=\"opt\");var r={};return r.optionList=[],r._newoption=function(n){n[t]=e,r[n.name]=n,r.optionList.push(n)},r[\"_\"+t]=e,r};Si.smooth=function(e,t){if(t=Math.round(t)||0,t<2)return e;var r=e.length,n=2*r,i=2*t-1,a=new Array(i),o=new Array(r),s,l,u,c;for(s=0;s<i;s++)a[s]=(1-Math.cos(Math.PI*(s+1)/t))/(2*t);for(s=0;s<r;s++){for(c=0,l=0;l<i;l++)u=s+l+1-t,u<-r?u-=n*Math.round(u/n):u>=n&&(u-=n*Math.floor(u/n)),u<0?u=-1-u:u>=r&&(u=n-1-u),c+=e[u]*a[l];o[s]=c}return o};Si.syncOrAsync=function(e,t,r){var n,i;function a(){return Si.syncOrAsync(e,t,r)}for(;e.length;)if(i=e.splice(0,1)[0],n=i(t),n&&n.then)return n.then(a);return r&&r(t)};Si.stripTrailingSlash=function(e){return e.substr(-1)===\"/\"?e.substr(0,e.length-1):e};Si.noneOrAll=function(e,t,r){if(e){var n=!1,i=!0,a,o;for(a=0;a<r.length;a++)o=e[r[a]],o!=null?n=!0:i=!1;if(n&&!i)for(a=0;a<r.length;a++)e[r[a]]=t[r[a]]}};Si.mergeArray=function(e,t,r,n){var i=typeof n==\"function\";if(Si.isArrayOrTypedArray(e))for(var a=Math.min(e.length,t.length),o=0;o<a;o++){var s=e[o];t[o][r]=i?n(s):s}};Si.mergeArrayCastPositive=function(e,t,r){return Si.mergeArray(e,t,r,function(n){var i=+n;return isFinite(i)&&i>0?i:0})};Si.fillArray=function(e,t,r,n){if(n=n||Si.identity,Si.isArrayOrTypedArray(e))for(var i=0;i<t.length;i++)t[i][r]=n(e[i])};Si.castOption=function(e,t,r,n){n=n||Si.identity;var i=Si.nestedProperty(e,r).get();return Si.isArrayOrTypedArray(i)?Array.isArray(t)&&Si.isArrayOrTypedArray(i[t[0]])?n(i[t[0]][t[1]]):n(i[t]):i};Si.extractOption=function(e,t,r,n){if(r in e)return e[r];var i=Si.nestedProperty(t,n).get();if(!Array.isArray(i))return i};function Jie(e){var t={};for(var r in e)for(var n=e[r],i=0;i<n.length;i++)t[n[i]]=+r;return t}Si.tagSelected=function(e,t,r){var n=t.selectedpoints,i=t._indexToPoints,a;i&&(a=Jie(i));function o(f){return f!==void 0&&f<e.length}for(var s=0;s<n.length;s++){var l=n[s];if(Si.isIndex(l)||Si.isArrayOrTypedArray(l)&&Si.isIndex(l[0])&&Si.isIndex(l[1])){var u=a?a[l]:l,c=r?r[u]:u;o(c)&&(e[c].selected=1)}}};Si.selIndices2selPoints=function(e){var t=e.selectedpoints,r=e._indexToPoints;if(r){for(var n=Jie(r),i=[],a=0;a<t.length;a++){var o=t[a];if(Si.isIndex(o)){var s=n[o];Si.isIndex(s)&&i.push(s)}}return i}else return t};Si.getTargetArray=function(e,t){var r=t.target;if(typeof r==\"string\"&&r){var n=Si.nestedProperty(e,r).get();return Si.isArrayOrTypedArray(n)?n:!1}else if(Si.isArrayOrTypedArray(r))return r;return!1};function $ie(e,t,r){var n={};typeof t!=\"object\"&&(t={});var i=r===\"pieLike\"?-1:3,a=Object.keys(e),o,s,l;for(o=0;o<a.length;o++)s=a[o],l=e[s],!(s.charAt(0)===\"_\"||typeof l==\"function\")&&(s===\"module\"?n[s]=l:Array.isArray(l)?s===\"colorscale\"||i===-1?n[s]=l.slice():n[s]=l.slice(0,i):Si.isTypedArray(l)?i===-1?n[s]=l.subarray():n[s]=l.subarray(0,i):l&&typeof l==\"object\"?n[s]=$ie(e[s],t[s],r):n[s]=l);for(a=Object.keys(t),o=0;o<a.length;o++)s=a[o],l=t[s],(typeof l!=\"object\"||!(s in n)||typeof n[s]!=\"object\")&&(n[s]=l);return n}Si.minExtend=$ie;Si.titleCase=function(e){return e.charAt(0).toUpperCase()+e.substr(1)};Si.containsAny=function(e,t){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])!==-1)return!0;return!1};var Vit=/Version\\/[\\d\\.]+.*Safari/;Si.isSafari=function(){return Vit.test(window.navigator.userAgent)};var Git=/iPad|iPhone|iPod/;Si.isIOS=function(){return Git.test(window.navigator.userAgent)};var Hit=/Macintosh.+AppleWebKit.+Gecko\\)$/;Si.isMacWKWebView=()=>Hit.test(window.navigator.userAgent);var jit=/Firefox\\/(\\d+)\\.\\d+/;Si.getFirefoxVersion=function(){var e=jit.exec(window.navigator.userAgent);if(e&&e.length===2){var t=parseInt(e[1]);if(!isNaN(t))return t}return null};Si.isD3Selection=function(e){return e instanceof WS.selection};Si.ensureSingle=function(e,t,r,n){var i=e.select(t+(r?\".\"+r:\"\"));if(i.size())return i;var a=e.append(t);return r&&a.classed(r,!0),n&&a.call(n),a};Si.ensureSingleById=function(e,t,r,n){var i=e.select(t+\"#\"+r);if(i.size())return i;var a=e.append(t).attr(\"id\",r);return n&&a.call(n),a};Si.objectFromPath=function(e,t){for(var r=e.split(\".\"),n,i=n={},a=0;a<r.length;a++){var o=r[a],s=null,l=r[a].match(/(.*)\\[([0-9]+)\\]/);l?(o=l[1],s=l[2],n=n[o]=[],a===r.length-1?n[s]=t:n[s]={},n=n[s]):(a===r.length-1?n[o]=t:n[o]={},n=n[o])}return i};var Wit=/^([^\\[\\.]+)\\.(.+)?/,Xit=/^([^\\.]+)\\[([0-9]+)\\](\\.)?(.+)?/;function z6(e){return e.slice(0,2)===\"__\"}Si.expandObjectPaths=function(e){var t,r,n,i,a,o,s;if(typeof e==\"object\"&&!Array.isArray(e)){for(r in e)if(e.hasOwnProperty(r))if(t=r.match(Wit)){if(i=e[r],n=t[1],z6(n))continue;delete e[r],e[n]=Si.extendDeepNoArrays(e[n]||{},Si.objectFromPath(r,Si.expandObjectPaths(i))[n])}else if(t=r.match(Xit)){if(i=e[r],n=t[1],z6(n))continue;if(a=parseInt(t[2]),delete e[r],e[n]=e[n]||[],t[3]===\".\")s=t[4],o=e[n][a]=e[n][a]||{},Si.extendDeepNoArrays(o,Si.objectFromPath(s,Si.expandObjectPaths(i)));else{if(z6(n))continue;e[n][a]=Si.expandObjectPaths(i)}}else{if(z6(r))continue;e[r]=Si.expandObjectPaths(e[r])}}return e};Si.numSeparate=function(e,t,r){if(r||(r=!1),typeof t!=\"string\"||t.length===0)throw new Error(\"Separator string required for formatting!\");typeof e==\"number\"&&(e=String(e));var n=/(\\d+)(\\d{3})/,i=t.charAt(0),a=t.charAt(1),o=e.split(\".\"),s=o[0],l=o.length>1?i+o[1]:\"\";if(a&&(o.length>1||s.length>4||r))for(;n.test(s);)s=s.replace(n,\"$1\"+a+\"$2\");return s+l};Si.TEMPLATE_STRING_REGEX=/%{([^\\s%{}:]*)([:|\\|][^}]*)?}/g;var Qie=/^\\w*$/;Si.templateString=function(e,t){var r={};return e.replace(Si.TEMPLATE_STRING_REGEX,function(n,i){var a;return Qie.test(i)?a=t[i]:(r[i]=r[i]||Si.nestedProperty(t,i).get,a=r[i](!0)),a!==void 0?a:\"\"})};var Zit={max:10,count:0,name:\"hovertemplate\"};Si.hovertemplateString=function(){return JO.apply(Zit,arguments)};var Yit={max:10,count:0,name:\"texttemplate\"};Si.texttemplateString=function(){return JO.apply(Yit,arguments)};var Kit=/^(\\S+)([\\*\\/])(-?\\d+(\\.\\d+)?)$/;function Jit(e){var t=e.match(Kit);return t?{key:t[1],op:t[2],number:Number(t[3])}:{key:e,op:null,number:null}}var $it={max:10,count:0,name:\"texttemplate\",parseMultDiv:!0};Si.texttemplateStringForShapes=function(){return JO.apply($it,arguments)};var Hie=/^[:|\\|]/;function JO(e,t,r){var n=this,i=arguments;return t||(t={}),e.replace(Si.TEMPLATE_STRING_REGEX,function(a,o,s){var 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c=s[u],f=c[0],h=a,d=o;if(f===\"M\"||f===\"L\")a=+c[1],o=+c[2];else if(f===\"m\"||f===\"l\")a+=+c[1],o+=+c[2];else if(f===\"H\")a=+c[1];else if(f===\"h\")a+=+c[1];else if(f===\"V\")o=+c[1];else if(f===\"v\")o+=+c[1];else if(f===\"A\"){a=+c[1],o=+c[2];var v=n(i,[+c[6],+c[7]]);c[6]=v[0],c[7]=v[1],c[3]=+c[3]+e}(f===\"H\"||f===\"V\")&&(f=\"L\"),(f===\"h\"||f===\"v\")&&(f=\"l\"),(f===\"m\"||f===\"l\")&&(a-=h,o-=d);var x=n(i,[a,o]);(f===\"H\"||f===\"V\")&&(f=\"L\"),(f===\"M\"||f===\"L\"||f===\"m\"||f===\"l\")&&(c[1]=x[0],c[2]=x[1]),c[0]=f,l+=c[0]+c.slice(1).join(\",\")}return xoe=l,l}});var So=ye((Bir,Hoe)=>{\"use strict\";var dd=Oa(),Du=Dr(),dot=Du.numberFormat,Ab=Eo(),Uq=cd(),nL=qa(),Kd=Ca(),vot=tc(),eM=Du.strTranslate,aL=iu(),pot=Wp(),got=Kh(),mot=got.LINE_SPACING,Doe=U1().DESELECTDIM,yot=Ru(),_ot=S3(),xot=rp().appendArrayPointValue,Sa=Hoe.exports={};Sa.font=function(e,t){var r=t.variant,n=t.style,i=t.weight,a=t.color,o=t.size,s=t.family,l=t.shadow,u=t.lineposition,c=t.textcase;s&&e.style(\"font-family\",s),o+1&&e.style(\"font-size\",o+\"px\"),a&&e.call(Kd.fill,a),i&&e.style(\"font-weight\",i),n&&e.style(\"font-style\",n),r&&e.style(\"font-variant\",r),c&&e.style(\"text-transform\",zq(wot(c))),l&&e.style(\"text-shadow\",l===\"auto\"?aL.makeTextShadow(Kd.contrast(a)):zq(l)),u&&e.style(\"text-decoration-line\",zq(Tot(u)))};function zq(e){return e===\"none\"?void 0:e}var bot={normal:\"none\",lower:\"lowercase\",upper:\"uppercase\",\"word caps\":\"capitalize\"};function wot(e){return bot[e]}function Tot(e){return e.replace(\"under\",\"underline\").replace(\"over\",\"overline\").replace(\"through\",\"line-through\").split(\"+\").join(\" \")}Sa.setPosition=function(e,t,r){e.attr(\"x\",t).attr(\"y\",r)};Sa.setSize=function(e,t,r){e.attr(\"width\",t).attr(\"height\",r)};Sa.setRect=function(e,t,r,n,i){e.call(Sa.setPosition,t,r).call(Sa.setSize,n,i)};Sa.translatePoint=function(e,t,r,n){var i=r.c2p(e.x),a=n.c2p(e.y);if(Ab(i)&&Ab(a)&&t.node())t.node().nodeName===\"text\"?t.attr(\"x\",i).attr(\"y\",a):t.attr(\"transform\",eM(i,a));else return!1;return!0};Sa.translatePoints=function(e,t,r){e.each(function(n){var i=dd.select(this);Sa.translatePoint(n,i,t,r)})};Sa.hideOutsideRangePoint=function(e,t,r,n,i,a){t.attr(\"display\",r.isPtWithinRange(e,i)&&n.isPtWithinRange(e,a)?null:\"none\")};Sa.hideOutsideRangePoints=function(e,t){if(t._hasClipOnAxisFalse){var r=t.xaxis,n=t.yaxis;e.each(function(i){var a=i[0].trace,o=a.xcalendar,s=a.ycalendar,l=nL.traceIs(a,\"bar-like\")?\".bartext\":\".point,.textpoint\";e.selectAll(l).each(function(u){Sa.hideOutsideRangePoint(u,dd.select(this),r,n,o,s)})})}};Sa.crispRound=function(e,t,r){return!t||!Ab(t)?r||0:e._context.staticPlot?t:t<1?1:Math.round(t)};Sa.singleLineStyle=function(e,t,r,n,i){t.style(\"fill\",\"none\");var a=(((e||[])[0]||{}).trace||{}).line||{},o=r||a.width||0,s=i||a.dash||\"\";Kd.stroke(t,n||a.color),Sa.dashLine(t,s,o)};Sa.lineGroupStyle=function(e,t,r,n){e.style(\"fill\",\"none\").each(function(i){var a=(((i||[])[0]||{}).trace||{}).line||{},o=t||a.width||0,s=n||a.dash||\"\";dd.select(this).call(Kd.stroke,r||a.color).call(Sa.dashLine,s,o)})};Sa.dashLine=function(e,t,r){r=+r||0,t=Sa.dashStyle(t,r),e.style({\"stroke-dasharray\":t,\"stroke-width\":r+\"px\"})};Sa.dashStyle=function(e,t){t=+t||1;var r=Math.max(t,3);return e===\"solid\"?e=\"\":e===\"dot\"?e=r+\"px,\"+r+\"px\":e===\"dash\"?e=3*r+\"px,\"+3*r+\"px\":e===\"longdash\"?e=5*r+\"px,\"+5*r+\"px\":e===\"dashdot\"?e=3*r+\"px,\"+r+\"px,\"+r+\"px,\"+r+\"px\":e===\"longdashdot\"&&(e=5*r+\"px,\"+2*r+\"px,\"+r+\"px,\"+2*r+\"px\"),e};function Foe(e,t,r,n){var i=t.fillpattern,a=t.fillgradient,o=Sa.getPatternAttr,s=i&&(o(i.shape,0,\"\")||o(i.path,0,\"\"));if(s){var l=o(i.bgcolor,0,null),u=o(i.fgcolor,0,null),c=i.fgopacity,f=o(i.size,0,8),h=o(i.solidity,0,.3),d=t.uid;Sa.pattern(e,\"point\",r,d,s,f,h,void 0,i.fillmode,l,u,c)}else if(a&&a.type!==\"none\"){var v=a.type,x=\"scatterfill-\"+t.uid;if(n&&(x=\"legendfill-\"+t.uid),!n&&(a.start!==void 0||a.stop!==void 0)){var b,p;v===\"horizontal\"?(b={x:a.start,y:0},p={x:a.stop,y:0}):v===\"vertical\"&&(b={x:0,y:a.start},p={x:0,y:a.stop}),b.x=t._xA.c2p(b.x===void 0?t._extremes.x.min[0].val:b.x,!0),b.y=t._yA.c2p(b.y===void 0?t._extremes.y.min[0].val:b.y,!0),p.x=t._xA.c2p(p.x===void 0?t._extremes.x.max[0].val:p.x,!0),p.y=t._yA.c2p(p.y===void 0?t._extremes.y.max[0].val:p.y,!0),e.call(qoe,r,x,\"linear\",a.colorscale,\"fill\",b,p,!0,!1)}else v===\"horizontal\"&&(v=v+\"reversed\"),e.call(Sa.gradient,r,x,v,a.colorscale,\"fill\")}else t.fillcolor&&e.call(Kd.fill,t.fillcolor)}Sa.singleFillStyle=function(e,t){var r=dd.select(e.node()),n=r.data(),i=((n[0]||[])[0]||{}).trace||{};Foe(e,i,t,!1)};Sa.fillGroupStyle=function(e,t,r){e.style(\"stroke-width\",0).each(function(n){var i=dd.select(this);n[0].trace&&Foe(i,n[0].trace,t,r)})};var Soe=Aoe();Sa.symbolNames=[];Sa.symbolFuncs=[];Sa.symbolBackOffs=[];Sa.symbolNeedLines={};Sa.symbolNoDot={};Sa.symbolNoFill={};Sa.symbolList=[];Object.keys(Soe).forEach(function(e){var t=Soe[e],r=t.n;Sa.symbolList.push(r,String(r),e,r+100,String(r+100),e+\"-open\"),Sa.symbolNames[r]=e,Sa.symbolFuncs[r]=t.f,Sa.symbolBackOffs[r]=t.backoff||0,t.needLine&&(Sa.symbolNeedLines[r]=!0),t.noDot?Sa.symbolNoDot[r]=!0:Sa.symbolList.push(r+200,String(r+200),e+\"-dot\",r+300,String(r+300),e+\"-open-dot\"),t.noFill&&(Sa.symbolNoFill[r]=!0)});var Aot=Sa.symbolNames.length,Sot=\"M0,0.5L0.5,0L0,-0.5L-0.5,0Z\";Sa.symbolNumber=function(e){if(Ab(e))e=+e;else if(typeof e==\"string\"){var t=0;e.indexOf(\"-open\")>0&&(t=100,e=e.replace(\"-open\",\"\")),e.indexOf(\"-dot\")>0&&(t+=200,e=e.replace(\"-dot\",\"\")),e=Sa.symbolNames.indexOf(e),e>=0&&(e+=t)}return e%100>=Aot||e>=400?0:Math.floor(Math.max(e,0))};function zoe(e,t,r,n){var i=e%100;return Sa.symbolFuncs[i](t,r,n)+(e>=200?Sot:\"\")}var Moe=dot(\"~f\"),Ooe={radial:{type:\"radial\"},radialreversed:{type:\"radial\",reversed:!0},horizontal:{type:\"linear\",start:{x:1,y:0},stop:{x:0,y:0}},horizontalreversed:{type:\"linear\",start:{x:1,y:0},stop:{x:0,y:0},reversed:!0},vertical:{type:\"linear\",start:{x:0,y:1},stop:{x:0,y:0}},verticalreversed:{type:\"linear\",start:{x:0,y:1},stop:{x:0,y:0},reversed:!0}};Sa.gradient=function(e,t,r,n,i,a){var o=Ooe[n];return qoe(e,t,r,o.type,i,a,o.start,o.stop,!1,o.reversed)};function qoe(e,t,r,n,i,a,o,s,l,u){var c=i.length,f;n===\"linear\"?f={node:\"linearGradient\",attrs:{x1:o.x,y1:o.y,x2:s.x,y2:s.y,gradientUnits:l?\"userSpaceOnUse\":\"objectBoundingBox\"},reversed:u}:n===\"radial\"&&(f={node:\"radialGradient\",reversed:u});for(var h=new Array(c),d=0;d<c;d++)f.reversed?h[c-1-d]=[Moe((1-i[d][0])*100),i[d][1]]:h[d]=[Moe(i[d][0]*100),i[d][1]];var v=t._fullLayout,x=\"g\"+v._uid+\"-\"+r,b=v._defs.select(\".gradients\").selectAll(\"#\"+x).data([n+h.join(\";\")],Du.identity);b.exit().remove(),b.enter().append(f.node).each(function(){var p=dd.select(this);f.attrs&&p.attr(f.attrs),p.attr(\"id\",x);var C=p.selectAll(\"stop\").data(h);C.exit().remove(),C.enter().append(\"stop\"),C.each(function(E){var A=Uq(E[1]);dd.select(this).attr({offset:E[0]+\"%\",\"stop-color\":Kd.tinyRGB(A),\"stop-opacity\":A.getAlpha()})})}),e.style(a,Vq(x,t)).style(a+\"-opacity\",null),e.classed(\"gradient_filled\",!0)}Sa.pattern=function(e,t,r,n,i,a,o,s,l,u,c,f){var h=t===\"legend\";s&&(l===\"overlay\"?(u=s,c=Kd.contrast(u)):(u=void 0,c=s));var d=r._fullLayout,v=\"p\"+d._uid+\"-\"+n,x,b,p=function(O,V,G,Z,H){return Z+(H-Z)*(O-V)/(G-V)},C,E,A,L,_={},k=Uq(c),M=Kd.tinyRGB(k),g=k.getAlpha(),P=f*g;switch(i){case\"/\":x=a*Math.sqrt(2),b=a*Math.sqrt(2),C=\"M-\"+x/4+\",\"+b/4+\"l\"+x/2+\",-\"+b/2+\"M0,\"+b+\"L\"+x+\",0M\"+x/4*3+\",\"+b/4*5+\"l\"+x/2+\",-\"+b/2,E=o*a,L=\"path\",_={d:C,opacity:P,stroke:M,\"stroke-width\":E+\"px\"};break;case\"\\\\\":x=a*Math.sqrt(2),b=a*Math.sqrt(2),C=\"M\"+x/4*3+\",-\"+b/4+\"l\"+x/2+\",\"+b/2+\"M0,0L\"+x+\",\"+b+\"M-\"+x/4+\",\"+b/4*3+\"l\"+x/2+\",\"+b/2,E=o*a,L=\"path\",_={d:C,opacity:P,stroke:M,\"stroke-width\":E+\"px\"};break;case\"x\":x=a*Math.sqrt(2),b=a*Math.sqrt(2),C=\"M-\"+x/4+\",\"+b/4+\"l\"+x/2+\",-\"+b/2+\"M0,\"+b+\"L\"+x+\",0M\"+x/4*3+\",\"+b/4*5+\"l\"+x/2+\",-\"+b/2+\"M\"+x/4*3+\",-\"+b/4+\"l\"+x/2+\",\"+b/2+\"M0,0L\"+x+\",\"+b+\"M-\"+x/4+\",\"+b/4*3+\"l\"+x/2+\",\"+b/2,E=a-a*Math.sqrt(1-o),L=\"path\",_={d:C,opacity:P,stroke:M,\"stroke-width\":E+\"px\"};break;case\"|\":x=a,b=a,L=\"path\",C=\"M\"+x/2+\",0L\"+x/2+\",\"+b,E=o*a,L=\"path\",_={d:C,opacity:P,stroke:M,\"stroke-width\":E+\"px\"};break;case\"-\":x=a,b=a,L=\"path\",C=\"M0,\"+b/2+\"L\"+x+\",\"+b/2,E=o*a,L=\"path\",_={d:C,opacity:P,stroke:M,\"stroke-width\":E+\"px\"};break;case\"+\":x=a,b=a,L=\"path\",C=\"M\"+x/2+\",0L\"+x/2+\",\"+b+\"M0,\"+b/2+\"L\"+x+\",\"+b/2,E=a-a*Math.sqrt(1-o),L=\"path\",_={d:C,opacity:P,stroke:M,\"stroke-width\":E+\"px\"};break;case\".\":x=a,b=a,o<Math.PI/4?A=Math.sqrt(o*a*a/Math.PI):A=p(o,Math.PI/4,1,a/2,a/Math.sqrt(2)),L=\"circle\",_={cx:x/2,cy:b/2,r:A,opacity:P,fill:M};break;default:x=a,b=a,L=\"path\",_={d:i,opacity:P,fill:M};break}var T=[i||\"noSh\",u||\"noBg\",c||\"noFg\",a,o].join(\";\"),z=d._defs.select(\".patterns\").selectAll(\"#\"+v).data([T],Du.identity);z.exit().remove(),z.enter().append(\"pattern\").each(function(){var O=dd.select(this);if(O.attr({id:v,width:x+\"px\",height:b+\"px\",patternUnits:\"userSpaceOnUse\",patternTransform:h?\"scale(0.8)\":\"\"}),u){var V=Uq(u),G=Kd.tinyRGB(V),Z=V.getAlpha(),H=O.selectAll(\"rect\").data([0]);H.exit().remove(),H.enter().append(\"rect\").attr({width:x+\"px\",height:b+\"px\",fill:G,\"fill-opacity\":Z})}var N=O.selectAll(L).data([0]);N.exit().remove(),N.enter().append(L).attr(_)}),e.style(\"fill\",Vq(v,r)).style(\"fill-opacity\",null),e.classed(\"pattern_filled\",!0)};Sa.initGradients=function(e){var t=e._fullLayout,r=Du.ensureSingle(t._defs,\"g\",\"gradients\");r.selectAll(\"linearGradient,radialGradient\").remove(),dd.select(e).selectAll(\".gradient_filled\").classed(\"gradient_filled\",!1)};Sa.initPatterns=function(e){var t=e._fullLayout,r=Du.ensureSingle(t._defs,\"g\",\"patterns\");r.selectAll(\"pattern\").remove(),dd.select(e).selectAll(\".pattern_filled\").classed(\"pattern_filled\",!1)};Sa.getPatternAttr=function(e,t,r){return e&&Du.isArrayOrTypedArray(e)?t<e.length?e[t]:r:e};Sa.pointStyle=function(e,t,r,n){if(e.size()){var i=Sa.makePointStyleFns(t);e.each(function(a){Sa.singlePointStyle(a,dd.select(this),t,i,r,n)})}};Sa.singlePointStyle=function(e,t,r,n,i,a){var o=r.marker,s=o.line;if(a&&a.i>=0&&e.i===void 0&&(e.i=a.i),t.style(\"opacity\",n.selectedOpacityFn?n.selectedOpacityFn(e):e.mo===void 0?o.opacity:e.mo),n.ms2mrc){var l;e.ms===\"various\"||o.size===\"various\"?l=3:l=n.ms2mrc(e.ms),e.mrc=l,n.selectedSizeFn&&(l=e.mrc=n.selectedSizeFn(e));var u=Sa.symbolNumber(e.mx||o.symbol)||0;e.om=u%200>=100;var c=Hq(e,r),f=Gq(e,r);t.attr(\"d\",zoe(u,l,c,f))}var h=!1,d,v,x;if(e.so)x=s.outlierwidth,v=s.outliercolor,d=o.outliercolor;else{var b=(s||{}).width;x=(e.mlw+1||b+1||(e.trace?(e.trace.marker.line||{}).width:0)+1)-1||0,\"mlc\"in e?v=e.mlcc=n.lineScale(e.mlc):Du.isArrayOrTypedArray(s.color)?v=Kd.defaultLine:v=s.color,Du.isArrayOrTypedArray(o.color)&&(d=Kd.defaultLine,h=!0),\"mc\"in e?d=e.mcc=n.markerScale(e.mc):d=o.color||o.colors||\"rgba(0,0,0,0)\",n.selectedColorFn&&(d=n.selectedColorFn(e))}if(e.om)t.call(Kd.stroke,d).style({\"stroke-width\":(x||1)+\"px\",fill:\"none\"});else{t.style(\"stroke-width\",(e.isBlank?0:x)+\"px\");var p=o.gradient,C=e.mgt;C?h=!0:C=p&&p.type,Du.isArrayOrTypedArray(C)&&(C=C[0],Ooe[C]||(C=0));var E=o.pattern,A=Sa.getPatternAttr,L=E&&(A(E.shape,e.i,\"\")||A(E.path,e.i,\"\"));if(C&&C!==\"none\"){var _=e.mgc;_?h=!0:_=p.color;var k=r.uid;h&&(k+=\"-\"+e.i),Sa.gradient(t,i,k,C,[[0,_],[1,d]],\"fill\")}else if(L){var M=!1,g=E.fgcolor;!g&&a&&a.color&&(g=a.color,M=!0);var P=A(g,e.i,a&&a.color||null),T=A(E.bgcolor,e.i,null),z=E.fgopacity,O=A(E.size,e.i,8),V=A(E.solidity,e.i,.3);M=M||e.mcc||Du.isArrayOrTypedArray(E.shape)||Du.isArrayOrTypedArray(E.path)||Du.isArrayOrTypedArray(E.bgcolor)||Du.isArrayOrTypedArray(E.fgcolor)||Du.isArrayOrTypedArray(E.size)||Du.isArrayOrTypedArray(E.solidity);var G=r.uid;M&&(G+=\"-\"+e.i),Sa.pattern(t,\"point\",i,G,L,O,V,e.mcc,E.fillmode,T,P,z)}else Du.isArrayOrTypedArray(d)?Kd.fill(t,d[e.i]):Kd.fill(t,d);x&&Kd.stroke(t,v)}};Sa.makePointStyleFns=function(e){var t={},r=e.marker;return t.markerScale=Sa.tryColorscale(r,\"\"),t.lineScale=Sa.tryColorscale(r,\"line\"),nL.traceIs(e,\"symbols\")&&(t.ms2mrc=yot.isBubble(e)?_ot(e):function(){return(r.size||6)/2}),e.selectedpoints&&Du.extendFlat(t,Sa.makeSelectedPointStyleFns(e)),t};Sa.makeSelectedPointStyleFns=function(e){var t={},r=e.selected||{},n=e.unselected||{},i=e.marker||{},a=r.marker||{},o=n.marker||{},s=i.opacity,l=a.opacity,u=o.opacity,c=l!==void 0,f=u!==void 0;(Du.isArrayOrTypedArray(s)||c||f)&&(t.selectedOpacityFn=function(A){var L=A.mo===void 0?i.opacity:A.mo;return A.selected?c?l:L:f?u:Doe*L});var h=i.color,d=a.color,v=o.color;(d||v)&&(t.selectedColorFn=function(A){var L=A.mcc||h;return A.selected?d||L:v||L});var x=i.size,b=a.size,p=o.size,C=b!==void 0,E=p!==void 0;return nL.traceIs(e,\"symbols\")&&(C||E)&&(t.selectedSizeFn=function(A){var L=A.mrc||x/2;return A.selected?C?b/2:L:E?p/2:L}),t};Sa.makeSelectedTextStyleFns=function(e){var t={},r=e.selected||{},n=e.unselected||{},i=e.textfont||{},a=r.textfont||{},o=n.textfont||{},s=i.color,l=a.color,u=o.color;return t.selectedTextColorFn=function(c){var f=c.tc||s;return c.selected?l||f:u||(l?f:Kd.addOpacity(f,Doe))},t};Sa.selectedPointStyle=function(e,t){if(!(!e.size()||!t.selectedpoints)){var r=Sa.makeSelectedPointStyleFns(t),n=t.marker||{},i=[];r.selectedOpacityFn&&i.push(function(a,o){a.style(\"opacity\",r.selectedOpacityFn(o))}),r.selectedColorFn&&i.push(function(a,o){Kd.fill(a,r.selectedColorFn(o))}),r.selectedSizeFn&&i.push(function(a,o){var s=o.mx||n.symbol||0,l=r.selectedSizeFn(o);a.attr(\"d\",zoe(Sa.symbolNumber(s),l,Hq(o,t),Gq(o,t))),o.mrc2=l}),i.length&&e.each(function(a){for(var o=dd.select(this),s=0;s<i.length;s++)i[s](o,a)})}};Sa.tryColorscale=function(e,t){var r=t?Du.nestedProperty(e,t).get():e;if(r){var n=r.color;if((r.colorscale||r._colorAx)&&Du.isArrayOrTypedArray(n))return vot.makeColorScaleFuncFromTrace(r)}return Du.identity};var Oq={start:1,end:-1,middle:0,bottom:1,top:-1};function Boe(e,t,r,n,i){var a=dd.select(e.node().parentNode),o=t.indexOf(\"top\")!==-1?\"top\":t.indexOf(\"bottom\")!==-1?\"bottom\":\"middle\",s=t.indexOf(\"left\")!==-1?\"end\":t.indexOf(\"right\")!==-1?\"start\":\"middle\",l=n?n/.8+1:0,u=(aL.lineCount(e)-1)*mot+1,c=Oq[s]*l,f=r*.75+Oq[o]*l+(Oq[o]-1)*u*r/2;e.attr(\"text-anchor\",s),i||a.attr(\"transform\",eM(c,f))}function Noe(e,t){var r=e.ts||t.textfont.size;return Ab(r)&&r>0?r:0}Sa.textPointStyle=function(e,t,r){if(e.size()){var n;if(t.selectedpoints){var i=Sa.makeSelectedTextStyleFns(t);n=i.selectedTextColorFn}var a=t.texttemplate,o=r._fullLayout;e.each(function(s){var l=dd.select(this),u=a?Du.extractOption(s,t,\"txt\",\"texttemplate\"):Du.extractOption(s,t,\"tx\",\"text\");if(!u&&u!==0){l.remove();return}if(a){var c=t._module.formatLabels,f=c?c(s,t,o):{},h={};xot(h,t,s.i);var d=t._meta||{};u=Du.texttemplateString(u,f,o._d3locale,h,s,d)}var v=s.tp||t.textposition,x=Noe(s,t),b=n?n(s):s.tc||t.textfont.color;l.call(Sa.font,{family:s.tf||t.textfont.family,weight:s.tw||t.textfont.weight,style:s.ty||t.textfont.style,variant:s.tv||t.textfont.variant,textcase:s.tC||t.textfont.textcase,lineposition:s.tE||t.textfont.lineposition,shadow:s.tS||t.textfont.shadow,size:x,color:b}).text(u).call(aL.convertToTspans,r).call(Boe,v,x,s.mrc)})}};Sa.selectedTextStyle=function(e,t){if(!(!e.size()||!t.selectedpoints)){var r=Sa.makeSelectedTextStyleFns(t);e.each(function(n){var i=dd.select(this),a=r.selectedTextColorFn(n),o=n.tp||t.textposition,s=Noe(n,t);Kd.fill(i,a);var l=nL.traceIs(t,\"bar-like\");Boe(i,o,s,n.mrc2||n.mrc,l)})}};var Eoe=.5;Sa.smoothopen=function(e,t){if(e.length<3)return\"M\"+e.join(\"L\");var r=\"M\"+e[0],n=[],i;for(i=1;i<e.length-1;i++)n.push(iL(e[i-1],e[i],e[i+1],t));for(r+=\"Q\"+n[0][0]+\" \"+e[1],i=2;i<e.length-1;i++)r+=\"C\"+n[i-2][1]+\" \"+n[i-1][0]+\" \"+e[i];return r+=\"Q\"+n[e.length-3][1]+\" 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s=kh(t.dtick),l=kh(e.dtick),u=s?t.dtick:+t.dtick.substring(1),c=l?e.dtick:+e.dtick.substring(1);s&&l?tB(u,c)?u===2*Zp&&c===2*zv&&(e.dtick=Zp):u===2*Zp&&c===3*zv?e.dtick=Zp:u===Zp&&!(t._input.minor||{}).nticks?e.dtick=zv:mse(u/c,2.5)?e.dtick=u/2:e.dtick=u:String(t.dtick).charAt(0)===\"M\"?l?e.dtick=\"M1\":tB(u,c)?u>=12&&c===2&&(e.dtick=\"M3\"):e.dtick=t.dtick:String(e.dtick).charAt(0)===\"L\"?String(t.dtick).charAt(0)===\"L\"?tB(u,c)||(e.dtick=mse(u/c,2.5)?t.dtick/2:t.dtick):e.dtick=\"D1\":e.dtick===\"D2\"&&+t.dtick>1&&(e.dtick=1)}e.range=t.range}t.minor._tick0Init===void 0&&(e.tick0=t.tick0)};function tB(e,t){return Math.abs((e/t+.5)%1-.5)<.001}function mse(e,t){return Math.abs(e/t-1)<.001}Qn.prepTicks=function(e,t){var r=Jo.simpleMap(e.range,e.r2l,void 0,void 0,t);if(e.tickmode===\"auto\"||!e.dtick){var n=e.nticks,i;n||(e.type===\"category\"||e.type===\"multicategory\"?(i=e.tickfont?Jo.bigFont(e.tickfont.size||12):15,n=e._length/i):(i=e._id.charAt(0)===\"y\"?40:80,n=Jo.constrain(e._length/i,4,9)+1),e._name===\"radialaxis\"&&(n*=2)),e.minor&&e.minor.tickmode!==\"array\"||e.tickmode===\"array\"&&(n*=100),e._roughDTick=Math.abs(r[1]-r[0])/n,Qn.autoTicks(e,e._roughDTick),e._minDtick>0&&e.dtick<e._minDtick*2&&(e.dtick=e._minDtick,e.tick0=e.l2r(e._forceTick0))}e.ticklabelmode===\"period\"&&wst(e),e.tick0||(e.tick0=e.type===\"date\"?\"2000-01-01\":0),e.type===\"date\"&&e.dtick<.1&&(e.dtick=.1),Cse(e)};function rB(e){return+e.substring(1)}function wst(e){var t;function r(){return!(kh(e.dtick)||e.dtick.charAt(0)!==\"M\")}var n=r(),i=Qn.getTickFormat(e);if(i){var a=e._dtickInit!==e.dtick;/%[fLQsSMX]/.test(i)||(/%[HI]/.test(i)?(t=xm,a&&!n&&e.dtick<xm&&(e.dtick=xm)):/%p/.test(i)?(t=l_,a&&!n&&e.dtick<l_&&(e.dtick=l_)):/%[Aadejuwx]/.test(i)?(t=zv,a&&!n&&e.dtick<zv&&(e.dtick=zv)):/%[UVW]/.test(i)?(t=Zp,a&&!n&&e.dtick<Zp&&(e.dtick=Zp)):/%[Bbm]/.test(i)?(t=R3,a&&(n?rB(e.dtick)<1:e.dtick<TL)&&(e.dtick=\"M1\")):/%[q]/.test(i)?(t=nB,a&&(n?rB(e.dtick)<3:e.dtick<wL)&&(e.dtick=\"M3\")):/%[Yy]/.test(i)&&(t=xL,a&&(n?rB(e.dtick)<12:e.dtick<bL)&&(e.dtick=\"M12\")))}n=r(),n&&e.tick0===e._dowTick0&&(e.tick0=e._rawTick0),e._definedDelta=t}function Tst(e,t,r){for(var n=0;n<e.length;n++){var i=e[n].value,a=n,o=n+1;n<e.length-1?(a=n,o=n+1):n>0?(a=n-1,o=n):(a=n,o=n);var s=e[a].value,l=e[o].value,u=Math.abs(l-s),c=r||u,f=0;c>=bL?u>=bL&&u<=ust?f=u:f=xL:r===nB&&c>=wL?u>=wL&&u<=cst?f=u:f=nB:c>=TL?u>=TL&&u<=fst?f=u:f=R3:r===Zp&&c>=Zp?f=Zp:c>=zv?f=zv:r===l_&&c>=l_?f=l_:r===xm&&c>=xm&&(f=xm);var h;f>=u&&(f=u,h=!0);var d=i+f;if(t.rangebreaks&&f>0){for(var v=84,x=0,b=0;b<v;b++){var p=(b+.5)/v;t.maskBreaks(i*(1-p)+p*d)!==EL&&x++}f*=x/v,f||(e[n].drop=!0),h&&u>Zp&&(f=u)}(f>0||n===0)&&(e[n].periodX=i+f/2)}}Qn.calcTicks=function(t,r){for(var n=t.type,i=t.calendar,a=t.ticklabelstep,o=t.ticklabelmode===\"period\",s=t.range[0]>t.range[1],l=!t.ticklabelindex||Jo.isArrayOrTypedArray(t.ticklabelindex)?t.ticklabelindex:[t.ticklabelindex],u=Jo.simpleMap(t.range,t.r2l,void 0,void 0,r),c=u[1]<u[0],f=Math.min(u[0],u[1]),h=Math.max(u[0],u[1]),d=Math.max(1e3,t._length||0),v=[],x=[],b=[],p=[],C=[],E=t.minor&&(t.minor.ticks||t.minor.showgrid),A=1;A>=(E?0:1);A--){var L=!A;A?(t._dtickInit=t.dtick,t._tick0Init=t.tick0):(t.minor._dtickInit=t.minor.dtick,t.minor._tick0Init=t.minor.tick0);var _=A?t:Jo.extendFlat({},t,t.minor);if(L?Qn.prepMinorTicks(_,t,r):Qn.prepTicks(_,r),_.tickmode===\"array\"){A?(b=[],v=yse(t,!L)):(p=[],x=yse(t,!L));continue}if(_.tickmode===\"sync\"){b=[],v=Ast(t);continue}var k=fB(u),M=k[0],g=k[1],P=kh(_.dtick),T=n===\"log\"&&!(P||_.dtick.charAt(0)===\"L\"),z=Qn.tickFirst(_,r);if(A){if(t._tmin=z,z<M!==c)break;(n===\"category\"||n===\"multicategory\")&&(g=c?Math.max(-.5,g):Math.min(t._categories.length-.5,g))}var O=null,V=z,G;if(A){var Z;P?Z=t.dtick:n===\"date\"?typeof t.dtick==\"string\"&&t.dtick.charAt(0)===\"M\"&&(Z=R3*t.dtick.substring(1)):Z=t._roughDTick,G=Math.round((t.r2l(V)-t.r2l(t.tick0))/Z)-1}var H=_.dtick;for(_.rangebreaks&&_._tick0Init!==_.tick0&&(V=iB(V,t),c||(V=Qn.tickIncrement(V,H,!c,i))),A&&o&&(V=Qn.tickIncrement(V,H,!c,i),G--);c?V>=g:V<=g;V=Qn.tickIncrement(V,H,c,i)){if(A&&G++,_.rangebreaks&&!c){if(V<M)continue;if(_.maskBreaks(V)===EL&&iB(V,_)>=h)break}if(b.length>d||V===O)break;O=V;var N={value:V};A?(T&&V!==(V|0)&&(N.simpleLabel=!0),a>1&&G%a&&(N.skipLabel=!0),b.push(N)):(N.minor=!0,p.push(N))}}if(!p||p.length<2)l=!1;else{var j=(p[1].value-p[0].value)*(s?-1:1);Zst(j,t.tickformat)||(l=!1)}if(!l)C=b;else{var re=b.concat(p);o&&b.length&&(re=re.slice(1)),re=re.sort(function(Gt,Nt){return Gt.value-Nt.value}).filter(function(Gt,Nt,$t){return Nt===0||Gt.value!==$t[Nt-1].value});var oe=re.map(function(Gt,Nt){return Gt.minor===void 0&&!Gt.skipLabel?Nt:null}).filter(function(Gt){return Gt!==null});oe.forEach(function(Gt){l.map(function(Nt){var $t=Gt+Nt;$t>=0&&$t<re.length&&Jo.pushUnique(C,re[$t])})})}if(E){var _e=t.minor.ticks===\"inside\"&&t.ticks===\"outside\"||t.minor.ticks===\"outside\"&&t.ticks===\"inside\";if(!_e){for(var Me=b.map(function(Gt){return Gt.value}),ke=[],me=0;me<p.length;me++){var ie=p[me],Se=ie.value;if(Me.indexOf(Se)===-1){for(var Le=!1,Ae=0;!Le&&Ae<b.length;Ae++)1e7+b[Ae].value===1e7+Se&&(Le=!0);Le||ke.push(ie)}}p=ke}}o&&Tst(C,t,t._definedDelta);var De;if(t.rangebreaks){var Pe=t._id.charAt(0)===\"y\",ge=1;t.tickmode===\"auto\"&&(ge=t.tickfont?t.tickfont.size:12);var Fe=NaN;for(De=b.length-1;De>-1;De--){if(b[De].drop){b.splice(De,1);continue}b[De].value=iB(b[De].value,t);var ce=t.c2p(b[De].value);(Pe?Fe>ce-ge:Fe<ce+ge)?b.splice(c?De+1:De,1):Fe=ce}}vB(t)&&Math.abs(u[1]-u[0])===360&&b.pop(),t._tmax=(b[b.length-1]||{}).value,t._prevDateHead=\"\",t._inCalcTicks=!0;var Ze,ct=function(Gt){Gt.text=\"\",t._prevDateHead=Ze};b=b.concat(p);function pt(Gt,Nt){var $t=Qn.tickText(Gt,Nt.value,!1,Nt.simpleLabel),sr=Nt.periodX;return sr!==void 0&&($t.periodX=sr,(sr>h||sr<f)&&(sr>h&&($t.periodX=h),sr<f&&($t.periodX=f),ct($t))),$t}var Wt;for(De=0;De<b.length;De++){var st=b[De].minor,lt=b[De].value;st?(l&&C.indexOf(b[De])!==-1?Wt=pt(t,b[De]):Wt={x:lt},Wt.minor=!0,x.push(Wt)):(Ze=t._prevDateHead,Wt=pt(t,b[De]),(b[De].skipLabel||l&&C.indexOf(b[De])===-1)&&ct(Wt),v.push(Wt))}return v=v.concat(x),t._inCalcTicks=!1,o&&v.length&&(v[0].noTick=!0),v};function Sse(e,t){return e.rangebreaks&&(t=t.filter(function(r){return e.maskBreaks(r.x)!==EL})),t}function Ast(e){var t=e._mainAxis,r=[];if(t._vals){for(var n=0;n<t._vals.length;n++)if(!t._vals[n].noTick){var i=t.l2p(t._vals[n].x),a=e.p2l(i),o=Qn.tickText(e,a);t._vals[n].minor&&(o.minor=!0,o.text=\"\"),r.push(o)}}return r=Sse(e,r),r}function yse(e,t){var r=Jo.simpleMap(e.range,e.r2l),n=fB(r),i=Math.min(n[0],n[1]),a=Math.max(n[0],n[1]),o=e.type===\"category\"?e.d2l_noadd:e.d2l;e.type===\"log\"&&String(e.dtick).charAt(0)!==\"L\"&&(e.dtick=\"L\"+Math.pow(10,Math.floor(Math.min(e.range[0],e.range[1]))-1));for(var s=[],l=0;l<=1;l++)if(!(t!==void 0&&(t&&l||t===!1&&!l))&&!(l&&!e.minor)){var u=l?e.minor.tickvals:e.tickvals,c=l?[]:e.ticktext;if(u){Jo.isArrayOrTypedArray(c)||(c=[]);for(var f=0;f<u.length;f++){var h=o(u[f]);if(h>i&&h<a){var d=Qn.tickText(e,h,!1,String(c[f]));l&&(d.minor=!0,d.text=\"\"),s.push(d)}}}}return s=Sse(e,s),s}var yL=[2,5,10],_se=[1,2,3,6,12],xse=[1,2,5,10,15,30],Sst=[1,2,3,7,14],Mse=[-.046,0,.301,.477,.602,.699,.778,.845,.903,.954,1],Ese=[-.301,0,.301,.699,1],Mst=[15,30,45,90,180];function _m(e,t,r){return t*Jo.roundUp(e/t,r)}Qn.autoTicks=function(e,t,r){var n;function i(f){return Math.pow(f,Math.floor(Math.log(t)/Math.LN10))}if(e.type===\"date\"){e.tick0=Jo.dateTick0(e.calendar,0);var a=2*t;if(a>xL)t/=xL,n=i(10),e.dtick=\"M\"+12*_m(t,n,yL);else if(a>R3)t/=R3,e.dtick=\"M\"+_m(t,1,_se);else if(a>zv){if(e.dtick=_m(t,zv,e._hasDayOfWeekBreaks?[1,2,7,14]:Sst),!r){var o=Qn.getTickFormat(e),s=e.ticklabelmode===\"period\";s&&(e._rawTick0=e.tick0),/%[uVW]/.test(o)?e.tick0=Jo.dateTick0(e.calendar,2):e.tick0=Jo.dateTick0(e.calendar,1),s&&(e._dowTick0=e.tick0)}}else a>xm?e.dtick=_m(t,xm,_se):a>aM?e.dtick=_m(t,aM,xse):a>AL?e.dtick=_m(t,AL,xse):(n=i(10),e.dtick=_m(t,n,yL))}else if(e.type===\"log\"){e.tick0=0;var l=Jo.simpleMap(e.range,e.r2l);if(e._isMinor&&(t*=1.5),t>.7)e.dtick=Math.ceil(t);else if(Math.abs(l[1]-l[0])<1){var u=1.5*Math.abs((l[1]-l[0])/t);t=Math.abs(Math.pow(10,l[1])-Math.pow(10,l[0]))/u,n=i(10),e.dtick=\"L\"+_m(t,n,yL)}else e.dtick=t>.3?\"D2\":\"D1\"}else e.type===\"category\"||e.type===\"multicategory\"?(e.tick0=0,e.dtick=Math.ceil(Math.max(t,1))):vB(e)?(e.tick0=0,n=1,e.dtick=_m(t,n,Mst)):(e.tick0=0,n=i(10),e.dtick=_m(t,n,yL));if(e.dtick===0&&(e.dtick=1),!kh(e.dtick)&&typeof e.dtick!=\"string\"){var c=e.dtick;throw e.dtick=1,\"ax.dtick error: \"+String(c)}};function Cse(e){var t=e.dtick;if(e._tickexponent=0,!kh(t)&&typeof t!=\"string\"&&(t=1),(e.type===\"category\"||e.type===\"multicategory\")&&(e._tickround=null),e.type===\"date\"){var r=e.r2l(e.tick0),n=e.l2r(r).replace(/(^-|i)/g,\"\"),i=n.length;if(String(t).charAt(0)===\"M\")i>10||n.substr(5)!==\"01-01\"?e._tickround=\"d\":e._tickround=+t.substr(1)%12===0?\"y\":\"m\";else if(t>=zv&&i<=10||t>=zv*15)e._tickround=\"d\";else if(t>=aM&&i<=16||t>=xm)e._tickround=\"M\";else if(t>=AL&&i<=19||t>=aM)e._tickround=\"S\";else{var a=e.l2r(r+t).replace(/^-/,\"\").length;e._tickround=Math.max(i,a)-20,e._tickround<0&&(e._tickround=4)}}else if(kh(t)||t.charAt(0)===\"L\"){var o=e.range.map(e.r2d||Number);kh(t)||(t=Number(t.substr(1))),e._tickround=2-Math.floor(Math.log(t)/Math.LN10+.01);var s=Math.max(Math.abs(o[0]),Math.abs(o[1])),l=Math.floor(Math.log(s)/Math.LN10+.01),u=e.minexponent===void 0?3:e.minexponent;Math.abs(l)>u&&(ML(e.exponentformat)&&!hB(l)?e._tickexponent=3*Math.round((l-1)/3):e._tickexponent=l)}else e._tickround=null}Qn.tickIncrement=function(e,t,r,n){var i=r?-1:1;if(kh(t))return Jo.increment(e,i*t);var a=t.charAt(0),o=i*Number(t.substr(1));if(a===\"M\")return Jo.incrementMonth(e,o,n);if(a===\"L\")return Math.log(Math.pow(10,e)+o)/Math.LN10;if(a===\"D\"){var s=t===\"D2\"?Ese:Mse,l=e+i*.01,u=Jo.roundUp(Jo.mod(l,1),s,r);return Math.floor(l)+Math.log(w0.round(Math.pow(10,u),1))/Math.LN10}throw\"unrecognized dtick \"+String(t)};Qn.tickFirst=function(e,t){var r=e.r2l||Number,n=Jo.simpleMap(e.range,r,void 0,void 0,t),i=n[1]<n[0],a=i?Math.floor:Math.ceil,o=fB(n)[0],s=e.dtick,l=r(e.tick0);if(kh(s)){var u=a((o-l)/s)*s+l;return(e.type===\"category\"||e.type===\"multicategory\")&&(u=Jo.constrain(u,0,e._categories.length-1)),u}var c=s.charAt(0),f=Number(s.substr(1));if(c===\"M\"){for(var h=0,d=l,v,x,b;h<10;){if(v=Qn.tickIncrement(d,s,i,e.calendar),(v-o)*(d-o)<=0)return i?Math.min(d,v):Math.max(d,v);x=(o-(d+v)/2)/(v-d),b=c+(Math.abs(Math.round(x))||1)*f,d=Qn.tickIncrement(d,b,x<0?!i:i,e.calendar),h++}return Jo.error(\"tickFirst did not converge\",e),d}else{if(c===\"L\")return Math.log(a((Math.pow(10,o)-l)/f)*f+l)/Math.LN10;if(c===\"D\"){var p=s===\"D2\"?Ese:Mse,C=Jo.roundUp(Jo.mod(o,1),p,i);return Math.floor(o)+Math.log(w0.round(Math.pow(10,C),1))/Math.LN10}else throw\"unrecognized dtick \"+String(s)}};Qn.tickText=function(e,t,r,n){var i=kse(e,t),a=e.tickmode===\"array\",o=r||a,s=e.type,l=s===\"category\"?e.d2l_noadd:e.d2l,u,c=function(b){var p=e.l2p(b);return p>=0&&p<=e._length?b:null};if(a&&Jo.isArrayOrTypedArray(e.ticktext)){var f=Jo.simpleMap(e.range,e.r2l),h=(Math.abs(f[1]-f[0])-(e._lBreaks||0))/1e4;for(u=0;u<e.ticktext.length&&!(Math.abs(t-l(e.tickvals[u]))<h);u++);if(u<e.ticktext.length)return i.text=String(e.ticktext[u]),i.xbnd=[c(i.x-.5),c(i.x+e.dtick-.5)],i}function d(b){if(b===void 0)return!0;if(r)return b===\"none\";var p={first:e._tmin,last:e._tmax}[b];return b!==\"all\"&&t!==p}var v=r?\"never\":e.exponentformat!==\"none\"&&d(e.showexponent)?\"hide\":\"\";if(s===\"date\"?Est(e,i,r,o):s===\"log\"?Cst(e,i,r,o,v):s===\"category\"?kst(e,i):s===\"multicategory\"?Lst(e,i,r):vB(e)?Ist(e,i,r,o,v):Pst(e,i,r,o,v),n||(e.tickprefix&&!d(e.showtickprefix)&&(i.text=e.tickprefix+i.text),e.ticksuffix&&!d(e.showticksuffix)&&(i.text+=e.ticksuffix)),e.labelalias&&e.labelalias.hasOwnProperty(i.text)){var x=e.labelalias[i.text];typeof x==\"string\"&&(i.text=x)}return(e.tickson===\"boundaries\"||e.showdividers)&&(i.xbnd=[c(i.x-.5),c(i.x+e.dtick-.5)]),i};Qn.hoverLabelText=function(e,t,r){r&&(e=Jo.extendFlat({},e,{hoverformat:r}));var n=Jo.isArrayOrTypedArray(t)?t[0]:t,i=Jo.isArrayOrTypedArray(t)?t[1]:void 0;if(i!==void 0&&i!==n)return Qn.hoverLabelText(e,n,r)+\" - \"+Qn.hoverLabelText(e,i,r);var a=e.type===\"log\"&&n<=0,o=Qn.tickText(e,e.c2l(a?-n:n),\"hover\").text;return a?n===0?\"0\":Cb+o:o};function kse(e,t,r){var n=e.tickfont||{};return{x:t,dx:0,dy:0,text:r||\"\",fontSize:n.size,font:n.family,fontWeight:n.weight,fontStyle:n.style,fontVariant:n.variant,fontTextcase:n.textcase,fontLineposition:n.lineposition,fontShadow:n.shadow,fontColor:n.color}}function Est(e,t,r,n){var i=e._tickround,a=r&&e.hoverformat||Qn.getTickFormat(e);n=!a&&n,n&&(kh(i)?i=4:i={y:\"m\",m:\"d\",d:\"M\",M:\"S\",S:4}[i]);var o=Jo.formatDate(t.x,a,i,e._dateFormat,e.calendar,e._extraFormat),s,l=o.indexOf(`\n",
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c=Math.pow(10,o).toExponential(0),f=c.split(\"e\"),h=+f[1],d=Math.abs(h),v=e.exponentformat;v===\"power\"||ML(v)&&hB(h)?(t.text=f[0],d>0&&(t.text+=\"x10\"),t.text===\"1x10\"&&(t.text=\"10\"),h!==0&&h!==1&&(t.text+=\"<sup>\"+(h>0?\"\":Cb)+d+\"</sup>\"),t.fontSize*=1.25):(v===\"e\"||v===\"E\")&&d>2?t.text=f[0]+v+(h>0?\"+\":Cb)+d:(t.text=sM(Math.pow(10,o),e,\"\",\"fakehover\"),a===\"D1\"&&e._id.charAt(0)===\"y\"&&(t.dy-=t.fontSize/6))}else if(l===\"D\")t.text=e.minorloglabels===\"none\"?\"\":String(Math.round(Math.pow(10,Jo.mod(o,1)))),t.fontSize*=.75;else throw\"unrecognized dtick \"+String(a);if(e.dtick===\"D1\"){var x=String(t.text).charAt(0);(x===\"0\"||x===\"1\")&&(e._id.charAt(0)===\"y\"?t.dx-=t.fontSize/4:(t.dy+=t.fontSize/2,t.dx+=(e.range[1]>e.range[0]?1:-1)*t.fontSize*(o<0?.5:.25)))}}function kst(e,t){var r=e._categories[Math.round(t.x)];r===void 0&&(r=\"\"),t.text=String(r)}function Lst(e,t,r){var n=Math.round(t.x),i=e._categories[n]||[],a=i[1]===void 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Pe=Object.keys(t._linepositions||{});for(a=0;a<Pe.length;a++){o=Pe[a],s=l._plots[o];var ge=t._linepositions[o]||[],Fe=ge[0],ce=ge[1],Ze=ge[2],ct=Qn.makeTickPath(t,Fe,Ze?_e[0]:Me[0],{minor:Ze})+Qn.makeTickPath(t,ce,Ze?_e[1]:Me[1],{minor:Ze});Qn.drawTicks(e,t,{vals:g,layer:s[c+\"axislayer\"],path:ct,transFn:k})}}var pt=[];if(pt.push(function(){return Qn.drawLabels(e,t,{vals:E,layer:x,plotinfo:s,transFn:M,labelFns:Qn.makeLabelFns(t,p)})}),t.type===\"multicategory\"){var Wt={x:2,y:10}[c];pt.push(function(){var lt={x:\"height\",y:\"width\"}[c],Gt=_()[lt]+Wt+(t._tickAngles[u+\"tick\"]?t.tickfont.size*oM:0);return Qn.drawLabels(e,t,{vals:zst(t,E),layer:x,cls:u+\"tick2\",repositionOnUpdate:!0,secondary:!0,transFn:k,labelFns:Qn.makeLabelFns(t,p+Gt*_e[4])})}),pt.push(function(){return t._depth=_e[4]*(_(\"tick2\")[t.side]-p),Nst(e,t,{vals:G,layer:x,path:Qn.makeTickPath(t,p,_e[4],{len:t._depth}),transFn:k})})}else t.title.hasOwnProperty(\"standoff\")&&pt.push(function(){t._depth=_e[4]*(_()[t.side]-p)});var st=iM.getComponentMethod(\"rangeslider\",\"isVisible\")(t);return!r.skipTitle&&!(st&&t.side===\"bottom\")&&pt.push(function(){return Ust(e,t)}),pt.push(function(){var lt=t.side.charAt(0),Gt=vst[t.side].charAt(0),Nt=Qn.getPxPosition(e,t),$t=z?t.ticklen:0,sr,wr,ur,Qe;(t.automargin||st||t._shiftPusher)&&(t.type===\"multicategory\"?sr=_(\"tick2\"):(sr=_(),c===\"x\"&&lt===\"b\"&&(t._depth=Math.max(sr.width>0?sr.bottom-Nt:0,$t))));var Et=0,er=0;if(t._shiftPusher&&(Et=Math.max($t,sr.height>0?lt===\"l\"?Nt-sr.left:sr.right-Nt:0),t.title.text!==l._dfltTitle[c]&&(er=(t._titleStandoff||0)+(t._titleScoot||0),lt===\"l\"&&(er+=wse(t))),t._fullDepth=Math.max(Et,er)),t.automargin){wr={x:0,y:0,r:0,l:0,t:0,b:0};var Ut=[0,1],Ft=typeof t._shift==\"number\"?t._shift:0;if(c===\"x\"){if(lt===\"b\"?wr[lt]=t._depth:(wr[lt]=t._depth=Math.max(sr.width>0?Nt-sr.top:0,$t),Ut.reverse()),sr.width>0){var 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t.automargin==\"string\"&&(bse(wr,t.automargin),bse(ur,t.automargin)),P3.autoMargin(e,dB(t),wr),P3.autoMargin(e,Pse(t),ur),P3.autoMargin(e,Ise(t),Qe)}),Jo.syncOrAsync(pt)}};function bse(e,t){if(e){var r=Object.keys(vse).reduce(function(n,i){return t.indexOf(i)!==-1&&vse[i].forEach(function(a){n[a]=1}),n},{});Object.keys(e).forEach(function(n){r[n]||(n.length===1?e[n]=0:delete e[n])})}}function Fst(e,t){var r=[],n,i=function(a,o){var s=a.xbnd[o];s!==null&&r.push(Jo.extendFlat({},a,{x:s}))};if(t.length){for(n=0;n<t.length;n++)i(t[n],0);i(t[n-1],1)}return r}function zst(e,t){for(var r=[],n={},i=0;i<t.length;i++){var a=t[i];n[a.text2]?n[a.text2].push(a.x):n[a.text2]=[a.x]}for(var o in n)r.push(kse(e,Jo.interp(n[o],.5),o));return r}function Ost(e,t){var r=[],n,i,a=t.length&&t[t.length-1].x<t[0].x,o=function(l,u){var c=l.xbnd[u];c!==null&&r.push(Jo.extendFlat({},l,{x:c}))};if(e.showdividers&&t.length){for(n=0;n<t.length;n++){var s=t[n];s.text2!==i&&o(s,a?1:0),i=s.text2}o(t[n-1],a?0:1)}return 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n=e._fullLayout,i=t._id,a=t.zerolinelayer===\"above traces\",o=r.cls||i+\"tick\",s=r.vals.filter(function(j){return j.text}),l=r.labelFns,u=r.secondary?0:t.tickangle,c=(t._prevTickAngles||{})[o],f=r.layer.selectAll(\"g.\"+o).data(t.showticklabels?s:[],kL),h=[];f.enter().append(\"g\").classed(o,1).append(\"text\").attr(\"text-anchor\",\"middle\").each(function(j){var re=w0.select(this),oe=e._promises.length;re.call(Eb.positionText,l.xFn(j),l.yFn(j)).call(Xp.font,{family:j.font,size:j.fontSize,color:j.fontColor,weight:j.fontWeight,style:j.fontStyle,variant:j.fontVariant,textcase:j.fontTextcase,lineposition:j.fontLineposition,shadow:j.fontShadow}).text(j.text).call(Eb.convertToTspans,e),e._promises[oe]?h.push(e._promises.pop().then(function(){d(re,u)})):d(re,u)}),LL(t,[dse]),f.exit().remove(),r.repositionOnUpdate&&f.each(function(j){w0.select(this).select(\"text\").call(Eb.positionText,l.xFn(j),l.yFn(j))});function d(j,re){j.each(function(oe){var 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ce=w0.select(this),Ze=ce.select(\".text-math-group\");if(Ze.empty()){var ct=Xp.bBox(ce.node()),pt=0;oe?(ct.right>ie||ct.left<me)&&(pt=1):(ct.bottom>ie||ct.top+(t.tickangle?0:Fe.fontSize/4)<me)&&(pt=1);var Wt=ce.select(\"text\");pt?re&&Wt.style(\"display\",\"none\"):Wt.node().style.display!==\"none\"&&(Wt.style(\"display\",null),Se===\"bottom\"||Se===\"right\"?Le=Math.min(Le,oe?ct.top:ct.left):Le=-1/0,Se===\"top\"||Se===\"left\"?Ae=Math.max(Ae,oe?ct.bottom:ct.right):Ae=1/0)}});for(var De in n._plots){var Pe=n._plots[De];if(!(t._id!==Pe.xaxis._id&&t._id!==Pe.yaxis._id)){var ge=oe?Pe.yaxis:Pe.xaxis;ge&&(ge[\"_visibleLabelMin_\"+t._id]=Le,ge[\"_visibleLabelMax_\"+t._id]=Ae)}}}},t._hideCounterAxisInsideTickLabels=function(j){var re=t._id.charAt(0)===\"x\",oe=[];for(var _e in n._plots){var Me=n._plots[_e];t._id!==Me.xaxis._id&&t._id!==Me.yaxis._id||oe.push(re?Me.yaxis:Me.xaxis)}oe.forEach(function(ke,me){ke&&lM(ke)&&(j||[aB,sB,oB,Tse,dse]).forEach(function(ie){var Se=ie.K===\"tick\"&&ie.L===\"text\"&&t.ticklabelmode===\"period\",Le=n._plots[t._mainSubplot],Ae;if(ie.K===aB.K){var De=a?Le.zerolinelayerAbove:Le.zerolinelayer;Ae=De.selectAll(\".\"+t._id+\"zl\")}else ie.K===sB.K?Ae=Le.minorGridlayer.selectAll(\".\"+t._id):ie.K===oB.K?Ae=Le.gridlayer.selectAll(\".\"+t._id):Ae=Le[t._id.charAt(0)+\"axislayer\"];Ae.each(function(){var Pe=w0.select(this);ie.L&&(Pe=Pe.selectAll(ie.L)),Pe.each(function(ge){var Fe=t.l2p(Se?lB(ge):ge.x)+t._offset,ce=w0.select(this);Fe<t[\"_visibleLabelMax_\"+ke._id]&&Fe>t[\"_visibleLabelMin_\"+ke._id]?ce.style(\"display\",\"none\"):ie.K===\"tick\"&&!me&&ce.node().style.display!==\"none\"&&ce.style(\"display\",null)})})})})},d(f,c+1?c:u);function v(){return h.length&&Promise.all(h)}var x=null;function b(){if(d(f,u),s.length&&t.autotickangles&&(t.type!==\"log\"||String(t.dtick).charAt(0)!==\"D\")){x=t.autotickangles[0];var j=0,re=[],oe,_e=1;f.each(function(wr){j=Math.max(j,wr.fontSize);var ur=t.l2p(wr.x),Qe=uB(this),Et=Xp.bBox(Qe.node());_e=Math.max(_e,Eb.lineCount(Qe)),re.push({top:0,bottom:10,height:10,left:ur-Et.width/2,right:ur+Et.width/2+2,width:Et.width+2})});var Me=(t.tickson===\"boundaries\"||t.showdividers)&&!r.secondary,ke=s.length,me=Math.abs((s[ke-1].x-s[0].x)*t._m)/(ke-1),ie=Me?me/2:me,Se=Me?t.ticklen:j*1.25*_e,Le=Math.sqrt(Math.pow(ie,2)+Math.pow(Se,2)),Ae=ie/Le,De=t.autotickangles.map(function(wr){return wr*Math.PI/180}),Pe=De.find(function(wr){return Math.abs(Math.cos(wr))<=Ae});Pe===void 0&&(Pe=De.reduce(function(wr,ur){return Math.abs(Math.cos(wr))<Math.abs(Math.cos(ur))?wr:ur},De[0]));var ge=Pe*(180/Math.PI);if(Me){var Fe=2;for(t.ticks&&(Fe+=t.tickwidth/2),oe=0;oe<re.length;oe++){var ce=s[oe].xbnd,Ze=re[oe];if(ce[0]!==null&&Ze.left-t.l2p(ce[0])<Fe||ce[1]!==null&&t.l2p(ce[1])-Ze.right<Fe){x=ge;break}}}else{var ct=t.ticklabelposition||\"\",pt=t.tickson||\"\",Wt=function(wr){return 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a._offset+a._length};function wse(e){var t=e.title.font.size,r=(e.title.text.match(Eb.BR_TAG_ALL)||[]).length;return e.title.hasOwnProperty(\"standoff\")?t*(kb+r*oM):r?t*(r+1)*oM:t}function Ust(e,t){var r=e._fullLayout,n=t._id,i=n.charAt(0),a=t.title.font.size,o,s=(t.title.text.match(Eb.BR_TAG_ALL)||[]).length;if(t.title.hasOwnProperty(\"standoff\"))t.side===\"bottom\"||t.side===\"right\"?o=t._depth+t.title.standoff+a*kb:(t.side===\"top\"||t.side===\"left\")&&(o=t._depth+t.title.standoff+a*(rM+s*oM));else{var l=lM(t);if(t.type===\"multicategory\")o=t._depth;else{var u=1.5*a;l&&(u=.5*a,t.ticks===\"outside\"&&(u+=t.ticklen)),o=10+u+(t.linewidth?t.linewidth-1:0)}l||(i===\"x\"?o+=t.side===\"top\"?a*(t.showticklabels?1:0):a*(t.showticklabels?1.5:.5):o+=t.side===\"right\"?a*(t.showticklabels?1:.5):a*(t.showticklabels?.5:0))}var 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Pe=De[0].height,ge=zL(De,n,d,l),Fe=Me?ge:Z;u||(Fe+=h),Fe+c+me-h>=n._maxWidth&&(N=Math.max(N,Se),me=0,ie+=ke,n._height+=ke,ke=0),Ph.setTranslate(this,P[0]+c+me,P[1]+c+ie+Pe/2+h),Se=me+ge+h,me+=Fe,ke=Math.max(ke,Pe)}),Me?(n._width=me+f,n._height=ke+v):(n._width=Math.max(N,Se)+f,n._height+=ke+v)}}n._width=Math.ceil(Math.max(n._width+P[0],n._titleWidth+2*(c+$h.titlePad))),n._height=Math.ceil(Math.max(n._height+P[1],n._titleHeight+2*(c+$h.itemGap))),n._effHeight=Math.min(n._height,n._maxHeight);var Le=e._context.edits,Ae=Le.legendText||Le.legendPosition;r.each(function(De){var Pe=Ap.select(this).select(\".\"+a+\"toggle\"),ge=De[0].height,Fe=De[0].trace.legendgroup,ce=zL(De,n,d);l&&Fe!==\"\"&&(ce=E[Fe]);var Ze=Ae?d:g||ce;!s&&!u&&(Ze+=h/2),Ph.setRect(Pe,0,-ge/2,Ze,ge)})}function Ilt(e,t,r,n){var i=e._fullLayout,a=i[t],o=BL(a),s=NL(a),l=a.xref===\"paper\",u=a.yref===\"paper\";e._fullLayout._reservedMargin[t]={};var c=a.y<.5?\"b\":\"t\",f=a.x<.5?\"l\":\"r\",h={r:i.width-r,l:r+a._width,b:i.height-n,t:n+a._effHeight};if(l&&u)return DB.autoMargin(e,t,{x:a.x,y:a.y,l:a._width*q3[o],r:a._width*wle[o],b:a._effHeight*wle[s],t:a._effHeight*q3[s]});l?e._fullLayout._reservedMargin[t][c]=h[c]:u||a.orientation===\"v\"?e._fullLayout._reservedMargin[t][f]=h[f]:e._fullLayout._reservedMargin[t][c]=h[c]}function BL(e){return Lh.isRightAnchor(e)?\"right\":Lh.isCenterAnchor(e)?\"center\":\"left\"}function NL(e){return Lh.isBottomAnchor(e)?\"bottom\":Lh.isMiddleAnchor(e)?\"middle\":\"top\"}function UL(e){return e._id||\"legend\"}});var NB=ye(BB=>{\"use strict\";var Db=Oa(),Sy=Eo(),Lle=cd(),Ff=Dr(),Rlt=Ff.pushUnique,OB=Ff.strTranslate,Dlt=Ff.strRotate,Flt=g3(),A0=iu(),zlt=Qse(),bm=So(),vd=Ca(),VL=gv(),wm=ho(),Olt=hd().zindexSeparator,U3=qa(),Ag=rp(),Fb=RS(),qlt=AB(),Blt=zB(),qle=Fb.YANGLE,qB=Math.PI*qle/180,Nlt=1/Math.sin(qB),Ult=Math.cos(qB),Vlt=Math.sin(qB),Qc=Fb.HOVERARROWSIZE,ll=Fb.HOVERTEXTPAD,Ple={box:!0,ohlc:!0,violin:!0,candlestick:!0},Glt={scatter:!0,scattergl:!0,splom:!0};function Ile(e,t){return e.distance-t.distance}BB.hover=function(t,r,n,i){t=Ff.getGraphDiv(t);var a=r.target;Ff.throttle(t._fullLayout._uid+Fb.HOVERID,Fb.HOVERMINTIME,function(){Hlt(t,r,n,i,a)})};BB.loneHover=function(t,r){var n=!0;Array.isArray(t)||(n=!1,t=[t]);var i=r.gd,a=Gle(i),o=Hle(i),s=t.map(function(b){var p=b._x0||b.x0||b.x||0,C=b._x1||b.x1||b.x||0,E=b._y0||b.y0||b.y||0,A=b._y1||b.y1||b.y||0,L=b.eventData;if(L){var _=Math.min(p,C),k=Math.max(p,C),M=Math.min(E,A),g=Math.max(E,A),P=b.trace;if(U3.traceIs(P,\"gl3d\")){var T=i._fullLayout[P.scene]._scene.container,z=T.offsetLeft,O=T.offsetTop;_+=z,k+=z,M+=O,g+=O}L.bbox={x0:_+o,x1:k+o,y0:M+a,y1:g+a},r.inOut_bbox&&r.inOut_bbox.push(L.bbox)}else L=!1;return{color:b.color||vd.defaultLine,x0:b.x0||b.x||0,x1:b.x1||b.x||0,y0:b.y0||b.y||0,y1:b.y1||b.y||0,xLabel:b.xLabel,yLabel:b.yLabel,zLabel:b.zLabel,text:b.text,name:b.name,idealAlign:b.idealAlign,borderColor:b.borderColor,fontFamily:b.fontFamily,fontSize:b.fontSize,fontColor:b.fontColor,fontWeight:b.fontWeight,fontStyle:b.fontStyle,fontVariant:b.fontVariant,nameLength:b.nameLength,textAlign:b.textAlign,trace:b.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:b.hovertemplate||!1,hovertemplateLabels:b.hovertemplateLabels||!1,eventData:L}}),l=!1,u=Nle(s,{gd:i,hovermode:\"closest\",rotateLabels:l,bgColor:r.bgColor||vd.background,container:Db.select(r.container),outerContainer:r.outerContainer||r.container}),c=u.hoverLabels,f=5,h=0,d=0;c.sort(function(b,p){return b.y0-p.y0}).each(function(b,p){var C=b.y0-b.by/2;C-f<h?b.offset=h-C+f:b.offset=0,h=C+b.by+b.offset,p===r.anchorIndex&&(d=b.offset)}).each(function(b){b.offset-=d});var v=i._fullLayout._invScaleX,x=i._fullLayout._invScaleY;return Vle(c,l,v,x),n?c:c.node()};function Hlt(e,t,r,n,i){r||(r=\"xy\"),typeof r==\"string\"&&(r=r.split(Olt)[0]);var a=Array.isArray(r)?r:[r],o,s=e._fullLayout,l=s.hoversubplots,u=s._plots||[],c=u[r],f=s._has(\"cartesian\"),h=t.hovermode||s.hovermode,d=(h||\"\").charAt(0)===\"x\",v=(h||\"\").charAt(0)===\"y\",x,b;if(f&&(d||v)&&l===\"axis\"){for(var p=a.length,C=0;C<p;C++)if(o=a[C],u[o]){x=wm.getFromId(e,o,\"x\"),b=wm.getFromId(e,o,\"y\");var E=(d?x:b)._subplotsWith;if(E&&E.length)for(var A=0;A<E.length;A++)Rlt(a,E[A])}}if(c&&l!==\"single\"){var L=c.overlays.map(function(pn){return pn.id});a=a.concat(L)}for(var _=a.length,k=new Array(_),M=new Array(_),g=!1,P=0;P<_;P++)if(o=a[P],u[o])g=!0,k[P]=u[o].xaxis,M[P]=u[o].yaxis;else if(s[o]&&s[o]._subplot){var T=s[o]._subplot;k[P]=T.xaxis,M[P]=T.yaxis}else{Ff.warn(\"Unrecognized subplot: \"+o);return}if(h&&!g&&(h=\"closest\"),[\"x\",\"y\",\"closest\",\"x unified\",\"y unified\"].indexOf(h)===-1||!e.calcdata||e.querySelector(\".zoombox\")||e._dragging)return VL.unhoverRaw(e,t);var z=s.hoverdistance;z===-1&&(z=1/0);var O=s.spikedistance;O===-1&&(O=1/0);var V=[],G=[],Z,H,N,j,re,oe,_e,Me,ke,me,ie,Se,Le,Ae={hLinePoint:null,vLinePoint:null},De=!1;if(Array.isArray(t))for(h=\"array\",N=0;N<t.length;N++)re=e.calcdata[t[N].curveNumber||0],re&&(oe=re[0].trace,re[0].trace.hoverinfo!==\"skip\"&&(G.push(re),oe.orientation===\"h\"&&(De=!0)));else{var Pe=e.calcdata.slice();for(Pe.sort(function(pn,Vn){var kn=pn[0].trace.zorder||0,ea=Vn[0].trace.zorder||0;return kn-ea}),j=0;j<Pe.length;j++)re=Pe[j],oe=re[0].trace,oe.hoverinfo!==\"skip\"&&Ag.isTraceInSubplots(oe,a)&&(G.push(re),oe.orientation===\"h\"&&(De=!0));var ge=!i,Fe,ce;if(ge)\"xpx\"in t?Fe=t.xpx:Fe=k[0]._length/2,\"ypx\"in t?ce=t.ypx:ce=M[0]._length/2;else{if(Flt.triggerHandler(e,\"plotly_beforehover\",t)===!1)return;var Ze=i.getBoundingClientRect();Fe=t.clientX-Ze.left,ce=t.clientY-Ze.top,s._calcInverseTransform(e);var ct=Ff.apply3DTransform(s._invTransform)(Fe,ce);if(Fe=ct[0],ce=ct[1],Fe<0||Fe>k[0]._length||ce<0||ce>M[0]._length)return VL.unhoverRaw(e,t)}if(t.pointerX=Fe+k[0]._offset,t.pointerY=ce+M[0]._offset,\"xval\"in t?Z=Ag.flat(a,t.xval):Z=Ag.p2c(k,Fe),\"yval\"in t?H=Ag.flat(a,t.yval):H=Ag.p2c(M,ce),!Sy(Z[0])||!Sy(H[0]))return Ff.warn(\"Fx.hover failed\",t,e),VL.unhoverRaw(e,t)}var pt=1/0;function Wt(pn,Vn){for(j=0;j<G.length;j++)if(re=G[j],!(!re||!re[0]||!re[0].trace)&&(oe=re[0].trace,!(oe.visible!==!0||oe._length===0)&&[\"carpet\",\"contourcarpet\"].indexOf(oe._module.name)===-1)){if(ke=h,Ag.isUnifiedHover(ke)&&(ke=ke.charAt(0)),oe.type===\"splom\"?(Me=0,_e=a[Me]):(_e=Ag.getSubplot(oe),Me=a.indexOf(_e)),Se={cd:re,trace:oe,xa:k[Me],ya:M[Me],maxHoverDistance:z,maxSpikeDistance:O,index:!1,distance:Math.min(pt,z),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:vd.defaultLine,name:oe.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},s[_e]&&(Se.subplot=s[_e]._subplot),s._splomScenes&&s._splomScenes[oe.uid]&&(Se.scene=s._splomScenes[oe.uid]),ke===\"array\"){var kn=t[j];\"pointNumber\"in kn?(Se.index=kn.pointNumber,ke=\"closest\"):(ke=\"\",\"xval\"in kn&&(me=kn.xval,ke=\"x\"),\"yval\"in kn&&(ie=kn.yval,ke=ke?\"closest\":\"y\"))}else pn!==void 0&&Vn!==void 0?(me=pn,ie=Vn):(me=Z[Me],ie=H[Me]);if(Le=V.length,z!==0)if(oe._module&&oe._module.hoverPoints){var ea=oe._module.hoverPoints(Se,me,ie,ke,{finiteRange:!0,hoverLayer:s._hoverlayer,hoversubplots:l,gd:e});if(ea)for(var ua,Vt=0;Vt<ea.length;Vt++)ua=ea[Vt],Sy(ua.x0)&&Sy(ua.y0)&&V.push(Zlt(ua,h))}else Ff.log(\"Unrecognized trace type in hover:\",oe);if(h===\"closest\"&&V.length>Le&&(V.splice(0,Le),pt=V[0].distance),f&&O!==0&&V.length===0){Se.distance=O,Se.index=!1;var _t=oe._module.hoverPoints(Se,me,ie,\"closest\",{hoverLayer:s._hoverlayer});if(_t&&(_t=_t.filter(function($r){return $r.spikeDistance<=O})),_t&&_t.length){var tr,ar=_t.filter(function($r){return $r.xa.showspikes&&$r.xa.spikesnap!==\"hovered data\"});if(ar.length){var Er=ar[0];Sy(Er.x0)&&Sy(Er.y0)&&(tr=lt(Er),(!Ae.vLinePoint||Ae.vLinePoint.spikeDistance>tr.spikeDistance)&&(Ae.vLinePoint=tr))}var Zr=_t.filter(function($r){return $r.ya.showspikes&&$r.ya.spikesnap!==\"hovered data\"});if(Zr.length){var ri=Zr[0];Sy(ri.x0)&&Sy(ri.y0)&&(tr=lt(ri),(!Ae.hLinePoint||Ae.hLinePoint.spikeDistance>tr.spikeDistance)&&(Ae.hLinePoint=tr))}}}}}Wt();function st(pn,Vn,kn){for(var ea=null,ua=1/0,Vt,_t=0;_t<pn.length;_t++)x&&x._id!==pn[_t].xa._id||b&&b._id!==pn[_t].ya._id||(Vt=pn[_t].spikeDistance,kn&&_t===0&&(Vt=-1/0),Vt<=ua&&Vt<=Vn&&(ea=pn[_t],ua=Vt));return ea}function lt(pn){return pn?{xa:pn.xa,ya:pn.ya,x:pn.xSpike!==void 0?pn.xSpike:(pn.x0+pn.x1)/2,y:pn.ySpike!==void 0?pn.ySpike:(pn.y0+pn.y1)/2,distance:pn.distance,spikeDistance:pn.spikeDistance,curveNumber:pn.trace.index,color:pn.color,pointNumber:pn.index}:null}var Gt={fullLayout:s,container:s._hoverlayer,event:t},Nt=e._spikepoints,$t={vLinePoint:Ae.vLinePoint,hLinePoint:Ae.hLinePoint};e._spikepoints=$t;var sr=function(){var pn=V.filter(function(kn){return x&&x._id===kn.xa._id&&b&&b._id===kn.ya._id}),Vn=V.filter(function(kn){return!(x&&x._id===kn.xa._id&&b&&b._id===kn.ya._id)});pn.sort(Ile),Vn.sort(Ile),V=pn.concat(Vn),V=Klt(V,h)};sr();var wr=h.charAt(0),ur=(wr===\"x\"||wr===\"y\")&&V[0]&&Glt[V[0].trace.type];if(f&&O!==0&&V.length!==0){var Qe=V.filter(function(pn){return pn.ya.showspikes}),Et=st(Qe,O,ur);Ae.hLinePoint=lt(Et);var er=V.filter(function(pn){return pn.xa.showspikes}),Ut=st(er,O,ur);Ae.vLinePoint=lt(Ut)}if(V.length===0){var Ft=VL.unhoverRaw(e,t);return f&&(Ae.hLinePoint!==null||Ae.vLinePoint!==null)&&Fle(Nt)&&Dle(e,Ae,Gt),Ft}if(f&&Fle(Nt)&&Dle(e,Ae,Gt),Ag.isXYhover(ke)&&V[0].length!==0&&V[0].trace.type!==\"splom\"){var bt=V[0];Ple[bt.trace.type]?V=V.filter(function(pn){return pn.trace.index===bt.trace.index}):V=[bt];var yt=V.length,Yt=Ole(\"x\",bt,s),lr=Ole(\"y\",bt,s);Wt(Yt,lr);var Tr=[],Rr={},ei=0,Wr=function(pn){var Vn=Ple[pn.trace.type]?Ble(pn):pn.trace.index;if(!Rr[Vn])ei++,Rr[Vn]=ei,Tr.push(pn);else{var kn=Rr[Vn]-1,ea=Tr[kn];kn>0&&Math.abs(pn.distance)<Math.abs(ea.distance)&&(Tr[kn]=pn)}},Ur;for(Ur=0;Ur<yt;Ur++)Wr(V[Ur]);for(Ur=V.length-1;Ur>yt-1;Ur--)Wr(V[Ur]);V=Tr,sr()}var dt=e._hoverdata,Ge=[],Je=Gle(e),je=Hle(e);for(N=0;N<V.length;N++){var $e=V[N],wt=Ag.makeEventData($e,$e.trace,$e.cd);if($e.hovertemplate!==!1){var Ie=!1;$e.cd[$e.index]&&$e.cd[$e.index].ht&&(Ie=$e.cd[$e.index].ht),$e.hovertemplate=Ie||$e.trace.hovertemplate||!1}if($e.xa&&$e.ya){var xe=$e.x0+$e.xa._offset,Ce=$e.x1+$e.xa._offset,vt=$e.y0+$e.ya._offset,nr=$e.y1+$e.ya._offset,ir=Math.min(xe,Ce),pr=Math.max(xe,Ce),oi=Math.min(vt,nr),di=Math.max(vt,nr);wt.bbox={x0:ir+je,x1:pr+je,y0:oi+Je,y1:di+Je}}$e.eventData=[wt],Ge.push(wt)}e._hoverdata=Ge;var Jr=h===\"y\"&&(G.length>1||V.length>1)||h===\"closest\"&&De&&V.length>1,fi=vd.combine(s.plot_bgcolor||vd.background,s.paper_bgcolor),Hi=Nle(V,{gd:e,hovermode:h,rotateLabels:Jr,bgColor:fi,container:s._hoverlayer,outerContainer:s._paper.node(),commonLabelOpts:s.hoverlabel,hoverdistance:s.hoverdistance}),Pn=Hi.hoverLabels;if(Ag.isUnifiedHover(h)||(Wlt(Pn,Jr,s,Hi.commonLabelBoundingBox),Vle(Pn,Jr,s._invScaleX,s._invScaleY)),i&&i.tagName){var wn=U3.getComponentMethod(\"annotations\",\"hasClickToShow\")(e,Ge);zlt(Db.select(i),wn?\"pointer\":\"\")}!i||n||!Ylt(e,t,dt)||(dt&&e.emit(\"plotly_unhover\",{event:t,points:dt}),e.emit(\"plotly_hover\",{event:t,points:e._hoverdata,xaxes:k,yaxes:M,xvals:Z,yvals:H}))}function Ble(e){return[e.trace.index,e.index,e.x0,e.y0,e.name,e.attr,e.xa?e.xa._id:\"\",e.ya?e.ya._id:\"\"].join(\",\")}var jlt=/<extra>([\\s\\S]*)<\\/extra>/;function Nle(e,t){var r=t.gd,n=r._fullLayout,i=t.hovermode,a=t.rotateLabels,o=t.bgColor,s=t.container,l=t.outerContainer,u=t.commonLabelOpts||{};if(e.length===0)return[[]];var c=t.fontFamily||Fb.HOVERFONT,f=t.fontSize||Fb.HOVERFONTSIZE,h=t.fontWeight||n.font.weight,d=t.fontStyle||n.font.style,v=t.fontVariant||n.font.variant,x=t.fontTextcase||n.font.textcase,b=t.fontLineposition||n.font.lineposition,p=t.fontShadow||n.font.shadow,C=e[0],E=C.xa,A=C.ya,L=i.charAt(0),_=L+\"Label\",k=C[_];if(k===void 0&&E.type===\"multicategory\")for(var M=0;M<e.length&&(k=e[M][_],k===void 0);M++);var g=N3(r,l),P=g.top,T=g.width,z=g.height,O=k!==void 0&&C.distance<=t.hoverdistance&&(i===\"x\"||i===\"y\");if(O){var V=!0,G,Z;for(G=0;G<e.length;G++)if(V&&e[G].zLabel===void 0&&(V=!1),Z=e[G].hoverinfo||e[G].trace.hoverinfo,Z){var H=Array.isArray(Z)?Z:Z.split(\"+\");if(H.indexOf(\"all\")===-1&&H.indexOf(i)===-1){O=!1;break}}V&&(O=!1)}var N=s.selectAll(\"g.axistext\").data(O?[0]:[]);N.enter().append(\"g\").classed(\"axistext\",!0),N.exit().remove();var j={minX:0,maxX:0,minY:0,maxY:0};if(N.each(function(){var bt=Db.select(this),yt=Ff.ensureSingle(bt,\"path\",\"\",function(di){di.style({\"stroke-width\":\"1px\"})}),Yt=Ff.ensureSingle(bt,\"text\",\"\",function(di){di.attr(\"data-notex\",1)}),lr=u.bgcolor||vd.defaultLine,Tr=u.bordercolor||vd.contrast(lr),Rr=vd.contrast(lr),ei=u.font,Wr={weight:ei.weight||h,style:ei.style||d,variant:ei.variant||v,textcase:ei.textcase||x,lineposition:ei.lineposition||b,shadow:ei.shadow||p,family:ei.family||c,size:ei.size||f,color:ei.color||Rr};yt.style({fill:lr,stroke:Tr}),Yt.text(k).call(bm.font,Wr).call(A0.positionText,0,0).call(A0.convertToTspans,r),bt.attr(\"transform\",\"\");var Ur=N3(r,Yt.node()),dt,Ge;if(i===\"x\"){var Je=E.side===\"top\"?\"-\":\"\";Yt.attr(\"text-anchor\",\"middle\").call(A0.positionText,0,E.side===\"top\"?P-Ur.bottom-Qc-ll:P-Ur.top+Qc+ll),dt=E._offset+(C.x0+C.x1)/2,Ge=A._offset+(E.side===\"top\"?0:A._length);var je=Ur.width/2+ll,$e=dt;dt<je?$e=je:dt>n.width-je&&($e=n.width-je),yt.attr(\"d\",\"M\"+(dt-$e)+\",0L\"+(dt-$e+Qc)+\",\"+Je+Qc+\"H\"+je+\"v\"+Je+(ll*2+Ur.height)+\"H\"+-je+\"V\"+Je+Qc+\"H\"+(dt-$e-Qc)+\"Z\"),dt=$e,j.minX=dt-je,j.maxX=dt+je,E.side===\"top\"?(j.minY=Ge-(ll*2+Ur.height),j.maxY=Ge-ll):(j.minY=Ge+ll,j.maxY=Ge+(ll*2+Ur.height))}else{var wt,Ie,xe;A.side===\"right\"?(wt=\"start\",Ie=1,xe=\"\",dt=E._offset+E._length):(wt=\"end\",Ie=-1,xe=\"-\",dt=E._offset),Ge=A._offset+(C.y0+C.y1)/2,Yt.attr(\"text-anchor\",wt),yt.attr(\"d\",\"M0,0L\"+xe+Qc+\",\"+Qc+\"V\"+(ll+Ur.height/2)+\"h\"+xe+(ll*2+Ur.width)+\"V-\"+(ll+Ur.height/2)+\"H\"+xe+Qc+\"V-\"+Qc+\"Z\"),j.minY=Ge-(ll+Ur.height/2),j.maxY=Ge+(ll+Ur.height/2),A.side===\"right\"?(j.minX=dt+Qc,j.maxX=dt+Qc+(ll*2+Ur.width)):(j.minX=dt-Qc-(ll*2+Ur.width),j.maxX=dt-Qc);var Ce=Ur.height/2,vt=P-Ur.top-Ce,nr=\"clip\"+n._uid+\"commonlabel\"+A._id,ir;if(dt<Ur.width+2*ll+Qc){ir=\"M-\"+(Qc+ll)+\"-\"+Ce+\"h-\"+(Ur.width-ll)+\"V\"+Ce+\"h\"+(Ur.width-ll)+\"Z\";var pr=Ur.width-dt+ll;A0.positionText(Yt,pr,vt),wt===\"end\"&&Yt.selectAll(\"tspan\").each(function(){var di=Db.select(this),Jr=bm.tester.append(\"text\").text(di.text()).call(bm.font,Wr),fi=N3(r,Jr.node());Math.round(fi.width)<Math.round(Ur.width)&&di.attr(\"x\",pr-fi.width),Jr.remove()})}else A0.positionText(Yt,Ie*(ll+Qc),vt),ir=null;var oi=n._topclips.selectAll(\"#\"+nr).data(ir?[0]:[]);oi.enter().append(\"clipPath\").attr(\"id\",nr).append(\"path\"),oi.exit().remove(),oi.select(\"path\").attr(\"d\",ir),bm.setClipUrl(Yt,ir?nr:null,r)}bt.attr(\"transform\",OB(dt,Ge))}),Ag.isUnifiedHover(i)){s.selectAll(\"g.hovertext\").remove();var re=e.filter(function(bt){return bt.hoverinfo!==\"none\"});if(re.length===0)return[];var oe=n.hoverlabel,_e=oe.font,Me=re[0],ke=((i===\"x unified\"?Me.xa:Me.ya).unifiedhovertitle||{}).text,me=ke?Ff.hovertemplateString(ke,{},n._d3locale,i===\"x unified\"?{xa:Me.xa,x:Me.xVal}:{ya:Me.ya,y:Me.yVal}):k,ie={showlegend:!0,legend:{title:{text:me,font:_e},font:_e,bgcolor:oe.bgcolor,bordercolor:oe.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:n.legend?n.legend.traceorder:void 0,orientation:\"v\"}},Se={font:_e};qlt(ie,Se,r._fullData);var Le=Se.legend;Le.entries=[];for(var Ae=0;Ae<re.length;Ae++){var De=re[Ae];if(De.hoverinfo!==\"none\"){var Pe=Rle(De,!0,i,n,k),ge=Pe[0],Fe=Pe[1];De.name=Fe,Fe!==\"\"?De.text=Fe+\" : \"+ge:De.text=ge;var ce=De.cd[De.index];ce&&(ce.mc&&(De.mc=ce.mc),ce.mcc&&(De.mc=ce.mcc),ce.mlc&&(De.mlc=ce.mlc),ce.mlcc&&(De.mlc=ce.mlcc),ce.mlw&&(De.mlw=ce.mlw),ce.mrc&&(De.mrc=ce.mrc),ce.dir&&(De.dir=ce.dir)),De._distinct=!0,Le.entries.push([De])}}Le.entries.sort(function(bt,yt){return bt[0].trace.index-yt[0].trace.index}),Le.layer=s,Le._inHover=!0,Le._groupTitleFont=oe.grouptitlefont,Blt(r,Le);var Ze=s.select(\"g.legend\"),ct=N3(r,Ze.node()),pt=ct.width+2*ll,Wt=ct.height+2*ll,st=re[0],lt=(st.x0+st.x1)/2,Gt=(st.y0+st.y1)/2,Nt=!(U3.traceIs(st.trace,\"bar-like\")||U3.traceIs(st.trace,\"box-violin\")),$t,sr;L===\"y\"?Nt?(sr=Gt-ll,$t=Gt+ll):(sr=Math.min.apply(null,re.map(function(bt){return Math.min(bt.y0,bt.y1)})),$t=Math.max.apply(null,re.map(function(bt){return Math.max(bt.y0,bt.y1)}))):sr=$t=Ff.mean(re.map(function(bt){return(bt.y0+bt.y1)/2}))-Wt/2;var wr,ur;L===\"x\"?Nt?(wr=lt+ll,ur=lt-ll):(wr=Math.max.apply(null,re.map(function(bt){return Math.max(bt.x0,bt.x1)})),ur=Math.min.apply(null,re.map(function(bt){return Math.min(bt.x0,bt.x1)}))):wr=ur=Ff.mean(re.map(function(bt){return(bt.x0+bt.x1)/2}))-pt/2;var Qe=E._offset,Et=A._offset;$t+=Et,wr+=Qe,ur+=Qe-pt,sr+=Et-Wt;var er,Ut;return wr+pt<T&&wr>=0?er=wr:ur+pt<T&&ur>=0?er=ur:Qe+pt<T?er=Qe:wr-lt<lt-ur+pt?er=T-pt:er=0,er+=ll,$t+Wt<z&&$t>=0?Ut=$t:sr+Wt<z&&sr>=0?Ut=sr:Et+Wt<z?Ut=Et:$t-Gt<Gt-sr+Wt?Ut=z-Wt:Ut=0,Ut+=ll,Ze.attr(\"transform\",OB(er-1,Ut-1)),Ze}var Ft=s.selectAll(\"g.hovertext\").data(e,function(bt){return Ble(bt)});return Ft.enter().append(\"g\").classed(\"hovertext\",!0).each(function(){var bt=Db.select(this);bt.append(\"rect\").call(vd.fill,vd.addOpacity(o,.8)),bt.append(\"text\").classed(\"name\",!0),bt.append(\"path\").style(\"stroke-width\",\"1px\"),bt.append(\"text\").classed(\"nums\",!0).call(bm.font,{weight:h,style:d,variant:v,textcase:x,lineposition:b,shadow:p,family:c,size:f})}),Ft.exit().remove(),Ft.each(function(bt){var yt=Db.select(this).attr(\"transform\",\"\"),Yt=bt.color;Array.isArray(Yt)&&(Yt=Yt[bt.eventData[0].pointNumber]);var lr=bt.bgcolor||Yt,Tr=vd.combine(vd.opacity(lr)?lr:vd.defaultLine,o),Rr=vd.combine(vd.opacity(Yt)?Yt:vd.defaultLine,o),ei=bt.borderColor||vd.contrast(Tr),Wr=Rle(bt,O,i,n,k,yt),Ur=Wr[0],dt=Wr[1],Ge=yt.select(\"text.nums\").call(bm.font,{family:bt.fontFamily||c,size:bt.fontSize||f,color:bt.fontColor||ei,weight:bt.fontWeight||h,style:bt.fontStyle||d,variant:bt.fontVariant||v,textcase:bt.fontTextcase||x,lineposition:bt.fontLineposition||b,shadow:bt.fontShadow||p}).text(Ur).attr(\"data-notex\",1).call(A0.positionText,0,0).call(A0.convertToTspans,r),Je=yt.select(\"text.name\"),je=0,$e=0;if(dt&&dt!==Ur){Je.call(bm.font,{family:bt.fontFamily||c,size:bt.fontSize||f,color:Rr,weight:bt.fontWeight||h,style:bt.fontStyle||d,variant:bt.fontVariant||v,textcase:bt.fontTextcase||x,lineposition:bt.fontLineposition||b,shadow:bt.fontShadow||p}).text(dt).attr(\"data-notex\",1).call(A0.positionText,0,0).call(A0.convertToTspans,r);var wt=N3(r,Je.node());je=wt.width+2*ll,$e=wt.height+2*ll}else Je.remove(),yt.select(\"rect\").remove();yt.select(\"path\").style({fill:Tr,stroke:ei});var Ie=bt.xa._offset+(bt.x0+bt.x1)/2,xe=bt.ya._offset+(bt.y0+bt.y1)/2,Ce=Math.abs(bt.x1-bt.x0),vt=Math.abs(bt.y1-bt.y0),nr=N3(r,Ge.node()),ir=nr.width/n._invScaleX,pr=nr.height/n._invScaleY;bt.ty0=(P-nr.top)/n._invScaleY,bt.bx=ir+2*ll,bt.by=Math.max(pr+2*ll,$e),bt.anchor=\"start\",bt.txwidth=ir,bt.tx2width=je,bt.offset=0;var oi=(ir+Qc+ll+je)*n._invScaleX,di,Jr;if(a)bt.pos=Ie,di=xe+vt/2+oi<=z,Jr=xe-vt/2-oi>=0,(bt.idealAlign===\"top\"||!di)&&Jr?(xe-=vt/2,bt.anchor=\"end\"):di?(xe+=vt/2,bt.anchor=\"start\"):bt.anchor=\"middle\",bt.crossPos=xe;else{if(bt.pos=xe,di=Ie+Ce/2+oi<=T,Jr=Ie-Ce/2-oi>=0,(bt.idealAlign===\"left\"||!di)&&Jr)Ie-=Ce/2,bt.anchor=\"end\";else if(di)Ie+=Ce/2,bt.anchor=\"start\";else{bt.anchor=\"middle\";var fi=oi/2,Hi=Ie+fi-T,Pn=Ie-fi;Hi>0&&(Ie-=Hi),Pn<0&&(Ie+=-Pn)}bt.crossPos=Ie}Ge.attr(\"text-anchor\",bt.anchor),je&&Je.attr(\"text-anchor\",bt.anchor),yt.attr(\"transform\",OB(Ie,xe)+(a?Dlt(qle):\"\"))}),{hoverLabels:Ft,commonLabelBoundingBox:j}}function Rle(e,t,r,n,i,a){var o=\"\",s=\"\";e.nameOverride!==void 0&&(e.name=e.nameOverride),e.name&&(e.trace._meta&&(e.name=Ff.templateString(e.name,e.trace._meta)),o=zle(e.name,e.nameLength));var l=r.charAt(0),u=l===\"x\"?\"y\":\"x\";e.zLabel!==void 0?(e.xLabel!==void 0&&(s+=\"x: \"+e.xLabel+\"<br>\"),e.yLabel!==void 0&&(s+=\"y: \"+e.yLabel+\"<br>\"),e.trace.type!==\"choropleth\"&&e.trace.type!==\"choroplethmapbox\"&&e.trace.type!==\"choroplethmap\"&&(s+=(s?\"z: \":\"\")+e.zLabel)):t&&e[l+\"Label\"]===i?s=e[u+\"Label\"]||\"\":e.xLabel===void 0?e.yLabel!==void 0&&e.trace.type!==\"scattercarpet\"&&(s=e.yLabel):e.yLabel===void 0?s=e.xLabel:s=\"(\"+e.xLabel+\", \"+e.yLabel+\")\",(e.text||e.text===0)&&!Array.isArray(e.text)&&(s+=(s?\"<br>\":\"\")+e.text),e.extraText!==void 0&&(s+=(s?\"<br>\":\"\")+e.extraText),a&&s===\"\"&&!e.hovertemplate&&(o===\"\"&&a.remove(),s=o);var c=e.hovertemplate||!1;if(c){var f=e.hovertemplateLabels||e;e[l+\"Label\"]!==i&&(f[l+\"other\"]=f[l+\"Val\"],f[l+\"otherLabel\"]=f[l+\"Label\"]),s=Ff.hovertemplateString(c,f,n._d3locale,e.eventData[0]||{},e.trace._meta),s=s.replace(jlt,function(h,d){return o=zle(d,e.nameLength),\"\"})}return[s,o]}function Wlt(e,t,r,n){var i=t?\"xa\":\"ya\",a=t?\"ya\":\"xa\",o=0,s=1,l=e.size(),u=new Array(l),c=0,f=n.minX,h=n.maxX,d=n.minY,v=n.maxY,x=function(Z){return Z*r._invScaleX},b=function(Z){return Z*r._invScaleY};e.each(function(Z){var H=Z[i],N=Z[a],j=H._id.charAt(0)===\"x\",re=H.range;c===0&&re&&re[0]>re[1]!==j&&(s=-1);var oe=0,_e=j?r.width:r.height;if(r.hovermode===\"x\"||r.hovermode===\"y\"){var Me=Ule(Z,t),ke=Z.anchor,me=ke===\"end\"?-1:1,ie,Se;if(ke===\"middle\")ie=Z.crossPos+(j?b(Me.y-Z.by/2):x(Z.bx/2+Z.tx2width/2)),Se=ie+(j?b(Z.by):x(Z.bx));else if(j)ie=Z.crossPos+b(Qc+Me.y)-b(Z.by/2-Qc),Se=ie+b(Z.by);else{var Le=x(me*Qc+Me.x),Ae=Le+x(me*Z.bx);ie=Z.crossPos+Math.min(Le,Ae),Se=Z.crossPos+Math.max(Le,Ae)}j?d!==void 0&&v!==void 0&&Math.min(Se,v)-Math.max(ie,d)>1&&(N.side===\"left\"?(oe=N._mainLinePosition,_e=r.width):_e=N._mainLinePosition):f!==void 0&&h!==void 0&&Math.min(Se,h)-Math.max(ie,f)>1&&(N.side===\"top\"?(oe=N._mainLinePosition,_e=r.height):_e=N._mainLinePosition)}u[c++]=[{datum:Z,traceIndex:Z.trace.index,dp:0,pos:Z.pos,posref:Z.posref,size:Z.by*(j?Nlt:1)/2,pmin:oe,pmax:_e}]}),u.sort(function(Z,H){return Z[0].posref-H[0].posref||s*(H[0].traceIndex-Z[0].traceIndex)});var p,C,E,A,L,_,k;function M(Z){var H=Z[0],N=Z[Z.length-1];if(C=H.pmin-H.pos-H.dp+H.size,E=N.pos+N.dp+N.size-H.pmax,C>.01){for(L=Z.length-1;L>=0;L--)Z[L].dp+=C;p=!1}if(!(E<.01)){if(C<-.01){for(L=Z.length-1;L>=0;L--)Z[L].dp-=E;p=!1}if(p){var j=0;for(A=0;A<Z.length;A++)_=Z[A],_.pos+_.dp+_.size>H.pmax&&j++;for(A=Z.length-1;A>=0&&!(j<=0);A--)_=Z[A],_.pos>H.pmax-1&&(_.del=!0,j--);for(A=0;A<Z.length&&!(j<=0);A++)if(_=Z[A],_.pos<H.pmin+1)for(_.del=!0,j--,E=_.size*2,L=Z.length-1;L>=0;L--)Z[L].dp-=E;for(A=Z.length-1;A>=0&&!(j<=0);A--)_=Z[A],_.pos+_.dp+_.size>H.pmax&&(_.del=!0,j--)}}}for(;!p&&o<=l;){for(o++,p=!0,A=0;A<u.length-1;){var g=u[A],P=u[A+1],T=g[g.length-1],z=P[0];if(C=T.pos+T.dp+T.size-z.pos-z.dp+z.size,C>.01){for(L=P.length-1;L>=0;L--)P[L].dp+=C;for(g.push.apply(g,P),u.splice(A+1,1),k=0,L=g.length-1;L>=0;L--)k+=g[L].dp;for(E=k/g.length,L=g.length-1;L>=0;L--)g[L].dp-=E;p=!1}else A++}u.forEach(M)}for(A=u.length-1;A>=0;A--){var O=u[A];for(L=O.length-1;L>=0;L--){var V=O[L],G=V.datum;G.offset=V.dp,G.del=V.del}}}function Ule(e,t){var r=0,n=e.offset;return t&&(n*=-Vlt,r=e.offset*Ult),{x:r,y:n}}function Xlt(e){var t={start:1,end:-1,middle:0}[e.anchor],r=t*(Qc+ll),n=r+t*(e.txwidth+ll),i=e.anchor===\"middle\";return i&&(r-=e.tx2width/2,n+=e.txwidth/2+ll),{alignShift:t,textShiftX:r,text2ShiftX:n}}function Vle(e,t,r,n){var i=function(o){return o*r},a=function(o){return o*n};e.each(function(o){var s=Db.select(this);if(o.del)return s.remove();var l=s.select(\"text.nums\"),u=o.anchor,c=u===\"end\"?-1:1,f=Xlt(o),h=Ule(o,t),d=h.x,v=h.y,x=u===\"middle\",b=\"hoverlabel\"in o.trace?o.trace.hoverlabel.showarrow:!0,p;x?p=\"M-\"+i(o.bx/2+o.tx2width/2)+\",\"+a(v-o.by/2)+\"h\"+i(o.bx)+\"v\"+a(o.by)+\"h-\"+i(o.bx)+\"Z\":b?p=\"M0,0L\"+i(c*Qc+d)+\",\"+a(Qc+v)+\"v\"+a(o.by/2-Qc)+\"h\"+i(c*o.bx)+\"v-\"+a(o.by)+\"H\"+i(c*Qc+d)+\"V\"+a(v-Qc)+\"Z\":p=\"M\"+i(c*Qc+d)+\",\"+a(v-o.by/2)+\"h\"+i(c*o.bx)+\"v\"+a(o.by)+\"h\"+i(-c*o.bx)+\"Z\",s.select(\"path\").attr(\"d\",p);var C=d+f.textShiftX,E=v+o.ty0-o.by/2+ll,A=o.textAlign||\"auto\";A!==\"auto\"&&(A===\"left\"&&u!==\"start\"?(l.attr(\"text-anchor\",\"start\"),C=x?-o.bx/2-o.tx2width/2+ll:-o.bx-ll):A===\"right\"&&u!==\"end\"&&(l.attr(\"text-anchor\",\"end\"),C=x?o.bx/2-o.tx2width/2-ll:o.bx+ll)),l.call(A0.positionText,i(C),a(E)),o.tx2width&&(s.select(\"text.name\").call(A0.positionText,i(f.text2ShiftX+f.alignShift*ll+d),a(v+o.ty0-o.by/2+ll)),s.select(\"rect\").call(bm.setRect,i(f.text2ShiftX+(f.alignShift-1)*o.tx2width/2+d),a(v-o.by/2-1),i(o.tx2width),a(o.by+2)))})}function Zlt(e,t){var r=e.index,n=e.trace||{},i=e.cd[0],a=e.cd[r]||{};function o(h){return h||Sy(h)&&h===0}var s=Array.isArray(r)?function(h,d){var v=Ff.castOption(i,r,h);return o(v)?v:Ff.extractOption({},n,\"\",d)}:function(h,d){return Ff.extractOption(a,n,h,d)};function l(h,d,v){var x=s(d,v);o(x)&&(e[h]=x)}if(l(\"hoverinfo\",\"hi\",\"hoverinfo\"),l(\"bgcolor\",\"hbg\",\"hoverlabel.bgcolor\"),l(\"borderColor\",\"hbc\",\"hoverlabel.bordercolor\"),l(\"fontFamily\",\"htf\",\"hoverlabel.font.family\"),l(\"fontSize\",\"hts\",\"hoverlabel.font.size\"),l(\"fontColor\",\"htc\",\"hoverlabel.font.color\"),l(\"fontWeight\",\"htw\",\"hoverlabel.font.weight\"),l(\"fontStyle\",\"hty\",\"hoverlabel.font.style\"),l(\"fontVariant\",\"htv\",\"hoverlabel.font.variant\"),l(\"nameLength\",\"hnl\",\"hoverlabel.namelength\"),l(\"textAlign\",\"hta\",\"hoverlabel.align\"),e.posref=t===\"y\"||t===\"closest\"&&n.orientation===\"h\"?e.xa._offset+(e.x0+e.x1)/2:e.ya._offset+(e.y0+e.y1)/2,e.x0=Ff.constrain(e.x0,0,e.xa._length),e.x1=Ff.constrain(e.x1,0,e.xa._length),e.y0=Ff.constrain(e.y0,0,e.ya._length),e.y1=Ff.constrain(e.y1,0,e.ya._length),e.xLabelVal!==void 0&&(e.xLabel=\"xLabel\"in e?e.xLabel:wm.hoverLabelText(e.xa,e.xLabelVal,n.xhoverformat),e.xVal=e.xa.c2d(e.xLabelVal)),e.yLabelVal!==void 0&&(e.yLabel=\"yLabel\"in e?e.yLabel:wm.hoverLabelText(e.ya,e.yLabelVal,n.yhoverformat),e.yVal=e.ya.c2d(e.yLabelVal)),e.zLabelVal!==void 0&&e.zLabel===void 0&&(e.zLabel=String(e.zLabelVal)),!isNaN(e.xerr)&&!(e.xa.type===\"log\"&&e.xerr<=0)){var u=wm.tickText(e.xa,e.xa.c2l(e.xerr),\"hover\").text;e.xerrneg!==void 0?e.xLabel+=\" +\"+u+\" / -\"+wm.tickText(e.xa,e.xa.c2l(e.xerrneg),\"hover\").text:e.xLabel+=\" \\xB1 \"+u,t===\"x\"&&(e.distance+=1)}if(!isNaN(e.yerr)&&!(e.ya.type===\"log\"&&e.yerr<=0)){var c=wm.tickText(e.ya,e.ya.c2l(e.yerr),\"hover\").text;e.yerrneg!==void 0?e.yLabel+=\" +\"+c+\" / -\"+wm.tickText(e.ya,e.ya.c2l(e.yerrneg),\"hover\").text:e.yLabel+=\" \\xB1 \"+c,t===\"y\"&&(e.distance+=1)}var f=e.hoverinfo||e.trace.hoverinfo;return f&&f!==\"all\"&&(f=Array.isArray(f)?f:f.split(\"+\"),f.indexOf(\"x\")===-1&&(e.xLabel=void 0),f.indexOf(\"y\")===-1&&(e.yLabel=void 0),f.indexOf(\"z\")===-1&&(e.zLabel=void 0),f.indexOf(\"text\")===-1&&(e.text=void 0),f.indexOf(\"name\")===-1&&(e.name=void 0)),e}function Dle(e,t,r){var n=r.container,i=r.fullLayout,a=i._size,o=r.event,s=!!t.hLinePoint,l=!!t.vLinePoint,u,c;if(n.selectAll(\".spikeline\").remove(),!!(l||s)){var f=vd.combine(i.plot_bgcolor,i.paper_bgcolor);if(s){var h=t.hLinePoint,d,v;u=h&&h.xa,c=h&&h.ya;var x=c.spikesnap;x===\"cursor\"?(d=o.pointerX,v=o.pointerY):(d=u._offset+h.x,v=c._offset+h.y);var b=Lle.readability(h.color,f)<1.5?vd.contrast(f):h.color,p=c.spikemode,C=c.spikethickness,E=c.spikecolor||b,A=wm.getPxPosition(e,c),L,_;if(p.indexOf(\"toaxis\")!==-1||p.indexOf(\"across\")!==-1){if(p.indexOf(\"toaxis\")!==-1&&(L=A,_=d),p.indexOf(\"across\")!==-1){var 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_=x;switch(L.type){case\"rect\":C(\"x0\",_.x0),C(\"x1\",_.x1),C(\"y0\",_.y0),C(\"y1\",_.y1);break;case\"path\":C(\"path\",_.path);break}}}return c===void 0?(E.push(x),E):p?p.getUpdateObj():{}}}}});var vM=ye((knr,Cue)=>{\"use strict\";Cue.exports={segmentRE:/[MLHVQCTSZ][^MLHVQCTSZ]*/g,paramRE:/[^\\s,]+/g,paramIsX:{M:{0:!0,drawn:0},L:{0:!0,drawn:0},H:{0:!0,drawn:0},V:{},Q:{0:!0,2:!0,drawn:2},C:{0:!0,2:!0,4:!0,drawn:4},T:{0:!0,drawn:0},S:{0:!0,2:!0,drawn:2},Z:{}},paramIsY:{M:{1:!0,drawn:1},L:{1:!0,drawn:1},H:{},V:{0:!0,drawn:0},Q:{1:!0,3:!0,drawn:3},C:{1:!0,3:!0,5:!0,drawn:5},T:{1:!0,drawn:1},S:{1:!0,3:!0,drawn:5},Z:{}},numParams:{M:2,L:2,H:1,V:1,Q:4,C:6,T:2,S:4,Z:0}}});var h_=ye(Dd=>{\"use strict\";var zb=vM(),kue=Dr(),$L=ho();Dd.rangeToShapePosition=function(e){return e.type===\"log\"?e.r2d:function(t){return t}};Dd.shapePositionToRange=function(e){return e.type===\"log\"?e.d2r:function(t){return t}};Dd.decodeDate=function(e){return function(t){return t.replace&&(t=t.replace(\"_\",\" 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1-(s-i.t)/i.h}:a=function(s){return(s-i.l)/i.w};return a};Dd.roundPositionForSharpStrokeRendering=function(e,t){var r=Math.round(t%2)===1,n=Math.round(e);return r?n+.5:n};Dd.makeShapesOptionsAndPlotinfo=function(e,t){var r=e._fullLayout.shapes[t]||{},n=e._fullLayout._plots[r.xref+r.yref],i=!!n;return i?n._hadPlotinfo=!0:(n={},r.xref&&r.xref!==\"paper\"&&(n.xaxis=e._fullLayout[r.xref+\"axis\"]),r.yref&&r.yref!==\"paper\"&&(n.yaxis=e._fullLayout[r.yref+\"axis\"])),n.xsizemode=r.xsizemode,n.ysizemode=r.ysizemode,n.xanchor=r.xanchor,n.yanchor=r.yanchor,{options:r,plotinfo:n}};Dd.makeSelectionsOptionsAndPlotinfo=function(e,t){var r=e._fullLayout.selections[t]||{},n=e._fullLayout._plots[r.xref+r.yref],i=!!n;return i?n._hadPlotinfo=!0:(n={},r.xref&&(n.xaxis=e._fullLayout[r.xref+\"axis\"]),r.yref&&(n.yaxis=e._fullLayout[r.yref+\"axis\"])),{options:r,plotinfo:n}};Dd.getPathString=function(e,t){var r=t.type,n=$L.getRefType(t.xref),i=$L.getRefType(t.yref),a=$L.getFromId(e,t.xref),o=$L.getFromId(e,t.yref),s=e._fullLayout._size,l,u,c,f,h=pM(a,t.x0shift),d=pM(a,t.x1shift),v=pM(o,t.y0shift),x=pM(o,t.y1shift),b,p,C,E;if(a?n===\"domain\"?u=function(O){return a._offset+a._length*O}:(l=Dd.shapePositionToRange(a),u=function(O){return a._offset+a.r2p(l(O,!0))}):u=function(O){return s.l+s.w*O},o?i===\"domain\"?f=function(O){return o._offset+o._length*(1-O)}:(c=Dd.shapePositionToRange(o),f=function(O){return o._offset+o.r2p(c(O,!0))}):f=function(O){return s.t+s.h*(1-O)},r===\"path\")return a&&a.type===\"date\"&&(u=Dd.decodeDate(u)),o&&o.type===\"date\"&&(f=Dd.decodeDate(f)),Gut(t,u,f);if(t.xsizemode===\"pixel\"){var A=u(t.xanchor);b=A+t.x0+h,p=A+t.x1+d}else b=u(t.x0)+h,p=u(t.x1)+d;if(t.ysizemode===\"pixel\"){var L=f(t.yanchor);C=L-t.y0+v,E=L-t.y1+x}else C=f(t.y0)+v,E=f(t.y1)+x;if(r===\"line\")return\"M\"+b+\",\"+C+\"L\"+p+\",\"+E;if(r===\"rect\")return\"M\"+b+\",\"+C+\"H\"+p+\"V\"+E+\"H\"+b+\"Z\";var _=(b+p)/2,k=(C+E)/2,M=Math.abs(_-b),g=Math.abs(k-C),P=\"A\"+M+\",\"+g,T=_+M+\",\"+k,z=_+\",\"+(k-g);return\"M\"+T+P+\" 0 1,1 \"+z+P+\" 0 0,1 \"+T+\"Z\"};function Gut(e,t,r){var n=e.path,i=e.xsizemode,a=e.ysizemode,o=e.xanchor,s=e.yanchor;return n.replace(zb.segmentRE,function(l){var u=0,c=l.charAt(0),f=zb.paramIsX[c],h=zb.paramIsY[c],d=zb.numParams[c],v=l.substr(1).replace(zb.paramRE,function(x){return f[u]?i===\"pixel\"?x=t(o)+Number(x):x=t(x):h[u]&&(a===\"pixel\"?x=r(s)-Number(x):x=r(x)),u++,u>d&&(x=\"X\"),x});return u>d&&(v=v.replace(/[\\s,]*X.*/,\"\"),kue.log(\"Ignoring extra params in segment \"+l)),c+v})}function pM(e,t){t=t||0;var r=0;return t&&e&&(e.type===\"category\"||e.type===\"multicategory\")&&(r=(e.r2p(1)-e.r2p(0))*t),r}});var XB=ye((Pnr,Rue)=>{\"use strict\";var Hut=Dr(),H3=ho(),Lue=iu(),Pue=So(),jut=c_().readPaths,WB=h_(),Wut=WB.getPathString,Iue=A6(),Xut=Kh().FROM_TL;Rue.exports=function(t,r,n,i){if(i.selectAll(\".shape-label\").remove(),!!(n.label.text||n.label.texttemplate)){var a;if(n.label.texttemplate){var o={};if(n.type!==\"path\"){var s=H3.getFromId(t,n.xref),l=H3.getFromId(t,n.yref);for(var u in Iue){var c=Iue[u](n,s,l);c!==void 0&&(o[u]=c)}}a=Hut.texttemplateStringForShapes(n.label.texttemplate,{},t._fullLayout._d3locale,o)}else a=n.label.text;var f={\"data-index\":r},h=n.label.font,d={\"data-notex\":1},v=i.append(\"g\").attr(f).classed(\"shape-label\",!0),x=v.append(\"text\").attr(d).classed(\"shape-label-text\",!0).text(a),b,p,C,E;if(n.path){var A=Wut(t,n),L=jut(A,t);b=1/0,C=1/0,p=-1/0,E=-1/0;for(var _=0;_<L.length;_++)for(var k=0;k<L[_].length;k++)for(var M=L[_][k],g=1;g<M.length;g+=2){var P=M[g],T=M[g+1];b=Math.min(b,P),p=Math.max(p,P),C=Math.min(C,T),E=Math.max(E,T)}}else{var z=H3.getFromId(t,n.xref),O=n.x0shift,V=n.x1shift,G=H3.getRefType(n.xref),Z=H3.getFromId(t,n.yref),H=n.y0shift,N=n.y1shift,j=H3.getRefType(n.yref),re=function(Le,Ae){var De=WB.getDataToPixel(t,z,Ae,!1,G);return De(Le)},oe=function(Le,Ae){var De=WB.getDataToPixel(t,Z,Ae,!0,j);return De(Le)};b=re(n.x0,O),p=re(n.x1,V),C=oe(n.y0,H),E=oe(n.y1,N)}var _e=n.label.textangle;_e===\"auto\"&&(n.type===\"line\"?_e=Zut(b,C,p,E):_e=0),x.call(function(Le){return Le.call(Pue.font,h).attr({}),Lue.convertToTspans(Le,t),Le});var Me=Pue.bBox(x.node()),ke=Yut(b,C,p,E,n,_e,Me),me=ke.textx,ie=ke.texty,Se=ke.xanchor;x.attr({\"text-anchor\":{left:\"start\",center:\"middle\",right:\"end\"}[Se],y:ie,x:me,transform:\"rotate(\"+_e+\",\"+me+\",\"+ie+\")\"}).call(Lue.positionText,me,ie)}};function Zut(e,t,r,n){var i,a;return a=Math.abs(r-e),r>=e?i=t-n:i=n-t,-180/Math.PI*Math.atan2(i,a)}function Yut(e,t,r,n,i,a,o){var s=i.label.textposition,l=i.label.textangle,u=i.label.padding,c=i.type,f=Math.PI/180*a,h=Math.sin(f),d=Math.cos(f),v=i.label.xanchor,x=i.label.yanchor,b,p,C,E;if(c===\"line\"){s===\"start\"?(b=e,p=t):s===\"end\"?(b=r,p=n):(b=(e+r)/2,p=(t+n)/2),v===\"auto\"&&(s===\"start\"?l===\"auto\"?r>e?v=\"left\":r<e?v=\"right\":v=\"center\":r>e?v=\"right\":r<e?v=\"left\":v=\"center\":s===\"end\"?l===\"auto\"?r>e?v=\"right\":r<e?v=\"left\":v=\"center\":r>e?v=\"left\":r<e?v=\"right\":v=\"center\":v=\"center\");var A={left:1,center:0,right:-1},L={bottom:-1,middle:0,top:1};if(l===\"auto\"){var _=L[x];C=-u*h*_,E=u*d*_}else{var k=A[v],M=L[x];C=u*k,E=u*M}b=b+C,p=p+E}else C=u+3,s.indexOf(\"right\")!==-1?(b=Math.max(e,r)-C,v===\"auto\"&&(v=\"right\")):s.indexOf(\"left\")!==-1?(b=Math.min(e,r)+C,v===\"auto\"&&(v=\"left\")):(b=(e+r)/2,v===\"auto\"&&(v=\"center\")),s.indexOf(\"top\")!==-1?p=Math.min(t,n):s.indexOf(\"bottom\")!==-1?p=Math.max(t,n):p=(t+n)/2,E=u,x===\"bottom\"?p=p-E:x===\"top\"&&(p=p+E);var g=Xut[x],P=i.label.font.size,T=o.height,z=(T*g-P)*h,O=-(T*g-P)*d;return{textx:b+z,texty:p+O,xanchor:v}}});var tP=ye((Inr,Uue)=>{\"use strict\";var Kut=Dr(),Jut=Kut.strTranslate,Due=gv(),Oue=Sg(),$ut=Oue.drawMode,que=Oue.selectMode,Bue=qa(),Fue=Ca(),eP=WL(),Qut=eP.i000,ect=eP.i090,tct=eP.i180,rct=eP.i270,ict=e_(),Nue=ict.clearOutlineControllers,YB=c_(),QL=YB.pointsOnRectangle,ZB=YB.pointsOnEllipse,nct=YB.writePaths,act=JL().newShapes,oct=JL().createShapeObj,sct=jB(),lct=XB();Uue.exports=function e(t,r,n,i){i||(i=0);var a=n.gd;function o(){e(t,r,n,i++),(ZB(t[0])||n.hasText)&&s({redrawing:!0})}function s(H){var N={};n.isActiveShape!==void 0&&(n.isActiveShape=!1,N=act(r,n)),n.isActiveSelection!==void 0&&(n.isActiveSelection=!1,N=sct(r,n),a._fullLayout._reselect=!0),Object.keys(N).length&&Bue.call((H||{}).redrawing?\"relayout\":\"_guiRelayout\",a,N)}var l=a._fullLayout,u=l._zoomlayer,c=n.dragmode,f=$ut(c),h=que(c);(f||h)&&(a._fullLayout._outlining=!0),Nue(a),r.attr(\"d\",nct(t));var d,v,x,b,p;if(!i&&(n.isActiveShape||n.isActiveSelection)){p=uct([],t);var C=u.append(\"g\").attr(\"class\",\"outline-controllers\");P(C),Z()}if(f&&n.hasText){var E=u.select(\".label-temp\"),A=oct(r,n,n.dragmode);lct(a,\"label-temp\",A,E)}function L(H){x=+H.srcElement.getAttribute(\"data-i\"),b=+H.srcElement.getAttribute(\"data-j\"),d[x][b].moveFn=_}function _(H,N){if(t.length){var j=p[x][b][1],re=p[x][b][2],oe=t[x],_e=oe.length;if(QL(oe)){var Me=H,ke=N;if(n.isActiveSelection){var me=zue(oe,b);me[1]===oe[b][1]?ke=0:Me=0}for(var ie=0;ie<_e;ie++)if(ie!==b){var Se=oe[ie];Se[1]===oe[b][1]&&(Se[1]=j+Me),Se[2]===oe[b][2]&&(Se[2]=re+ke)}if(oe[b][1]=j+Me,oe[b][2]=re+ke,!QL(oe))for(var Le=0;Le<_e;Le++)for(var Ae=0;Ae<oe[Le].length;Ae++)oe[Le][Ae]=p[x][Le][Ae]}else oe[b][1]=j+H,oe[b][2]=re+N;o()}}function k(){s()}function M(){if(t.length&&t[x]&&t[x].length){for(var H=[],N=0;N<t[x].length;N++)N!==b&&H.push(t[x][N]);H.length>1&&!(H.length===2&&H[1][0]===\"Z\")&&(b===0&&(H[0][0]=\"M\"),t[x]=H,o(),s())}}function g(H,N){if(H===2){x=+N.srcElement.getAttribute(\"data-i\"),b=+N.srcElement.getAttribute(\"data-j\");var j=t[x];!QL(j)&&!ZB(j)&&M()}}function P(H){d=[];for(var N=0;N<t.length;N++){var j=t[N],re=QL(j),oe=!re&&ZB(j);d[N]=[];for(var _e=j.length,Me=0;Me<_e;Me++)if(j[Me][0]!==\"Z\"&&!(oe&&Me!==Qut&&Me!==ect&&Me!==tct&&Me!==rct)){var ke=re&&n.isActiveSelection,me;ke&&(me=zue(j,Me));var ie=j[Me][1],Se=j[Me][2],Le=H.append(ke?\"rect\":\"circle\").attr(\"data-i\",N).attr(\"data-j\",Me).style({fill:Fue.background,stroke:Fue.defaultLine,\"stroke-width\":1,\"shape-rendering\":\"crispEdges\"});if(ke){var Ae=me[1]-ie,De=me[2]-Se,Pe=De?5:Math.max(Math.min(25,Math.abs(Ae)-5),5),ge=Ae?5:Math.max(Math.min(25,Math.abs(De)-5),5);Le.classed(De?\"cursor-ew-resize\":\"cursor-ns-resize\",!0).attr(\"width\",Pe).attr(\"height\",ge).attr(\"x\",ie-Pe/2).attr(\"y\",Se-ge/2).attr(\"transform\",Jut(Ae/2,De/2))}else Le.classed(\"cursor-grab\",!0).attr(\"r\",5).attr(\"cx\",ie).attr(\"cy\",Se);d[N][Me]={element:Le.node(),gd:a,prepFn:L,doneFn:k,clickFn:g},Due.init(d[N][Me])}}}function T(H,N){if(t.length)for(var j=0;j<t.length;j++)for(var re=0;re<t[j].length;re++)for(var oe=0;oe+2<t[j][re].length;oe+=2)t[j][re][oe+1]=p[j][re][oe+1]+H,t[j][re][oe+2]=p[j][re][oe+2]+N}function z(H,N){T(H,N),o()}function O(H){x=+H.srcElement.getAttribute(\"data-i\"),x||(x=0),v[x].moveFn=z}function V(){s()}function G(H){H===2&&cct(a)}function Z(){if(v=[],!!t.length){var H=0;v[H]={element:r[0][0],gd:a,prepFn:O,doneFn:V,clickFn:G},Due.init(v[H])}}};function uct(e,t){for(var r=0;r<t.length;r++){var n=t[r];e[r]=[];for(var i=0;i<n.length;i++){e[r][i]=[];for(var a=0;a<n[i].length;a++)e[r][i][a]=n[i][a]}}return e}function zue(e,t){var r=e[t][1],n=e[t][2],i=e.length,a,o,s;return a=(t+1)%i,o=e[a][1],s=e[a][2],o===r&&s===n&&(a=(t+2)%i,o=e[a][1],s=e[a][2]),[a,o,s]}function cct(e){if(que(e._fullLayout.dragmode)){Nue(e);var t=e._fullLayout._activeSelectionIndex,r=(e.layout||{}).selections||[];if(t<r.length){for(var n=[],i=0;i<r.length;i++)i!==t&&n.push(r[i]);delete e._fullLayout._activeSelectionIndex;var a=e._fullLayout.selections[t];e._fullLayout._deselect={xref:a.xref,yref:a.yref},Bue.call(\"_guiRelayout\",e,{selections:n})}}}});var aP=ye((Rnr,Jue)=>{\"use strict\";var fct=Oa(),Xue=qa(),Vue=Dr(),j3=ho(),hct=c_().readPaths,dct=tP(),iP=XB(),Zue=e_().clearOutlineControllers,KB=Ca(),$B=So(),vct=pl().arrayEditor,Gue=gv(),Hue=Tg(),Ob=vM(),Sp=h_(),JB=Sp.getPathString;Jue.exports={draw:QB,drawOne:Yue,eraseActiveShape:mct,drawLabel:iP};function QB(e){var t=e._fullLayout;t._shapeUpperLayer.selectAll(\"path\").remove(),t._shapeLowerLayer.selectAll(\"path\").remove(),t._shapeUpperLayer.selectAll(\"text\").remove(),t._shapeLowerLayer.selectAll(\"text\").remove();for(var r in t._plots){var n=t._plots[r].shapelayer;n&&(n.selectAll(\"path\").remove(),n.selectAll(\"text\").remove())}for(var i=0;i<t.shapes.length;i++)t.shapes[i].visible===!0&&Yue(e,i)}function rP(e){return!!e._fullLayout._outlining}function nP(e){return!e._context.edits.shapePosition}function Yue(e,t){e._fullLayout._paperdiv.selectAll('.shapelayer [data-index=\"'+t+'\"]').remove();var r=Sp.makeShapesOptionsAndPlotinfo(e,t),n=r.options,i=r.plotinfo;if(!n._input||n.visible!==!0)return;if(n.layer===\"above\")o(e._fullLayout._shapeUpperLayer);else if(n.xref===\"paper\"||n.yref===\"paper\")o(e._fullLayout._shapeLowerLayer);else if(n.layer===\"between\")o(i.shapelayerBetween);else if(i._hadPlotinfo){var a=i.mainplotinfo||i;o(a.shapelayer)}else 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v=o[d],x=c+\".\"+v+\".showspikes\";l[x]=!1,s[x]=f[v].showspikes}}r._previousVal=s}return l}function _ct(e,t){var r=ece(e,t);S0.call(\"_guiRelayout\",e,r)}Pl.zoomInGeo={name:\"zoomInGeo\",_cat:\"zoomin\",title:function(e){return rl(e,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:Ll.zoom_plus,click:tN};Pl.zoomOutGeo={name:\"zoomOutGeo\",_cat:\"zoomout\",title:function(e){return rl(e,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:Ll.zoom_minus,click:tN};Pl.resetGeo={name:\"resetGeo\",_cat:\"reset\",title:function(e){return rl(e,\"Reset\")},attr:\"reset\",val:null,icon:Ll.autoscale,click:tN};Pl.hoverClosestGeo={name:\"hoverClosestGeo\",_cat:\"hoverclosest\",title:function(e){return rl(e,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:Ll.tooltip_basic,gravity:\"ne\",click:rce};function tN(e,t){for(var r=t.currentTarget,n=r.getAttribute(\"data-attr\"),i=r.getAttribute(\"data-val\")||!0,a=e._fullLayout,o=a._subplots.geo||[],s=0;s<o.length;s++){var l=o[s],u=a[l];if(n===\"zoom\"){var c=u.projection.scale,f=i===\"in\"?2*c:.5*c;S0.call(\"_guiRelayout\",e,l+\".projection.scale\",f)}}n===\"reset\"&&W3(e,\"geo\")}Pl.hoverClosestPie={name:\"hoverClosestPie\",_cat:\"hoverclosest\",title:function(e){return rl(e,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:Ll.tooltip_basic,gravity:\"ne\",click:rce};function tce(e){var t=e._fullLayout;return t.hovermode?!1:t._has(\"cartesian\")?t._isHoriz?\"y\":\"x\":\"closest\"}function rce(e){var t=tce(e);S0.call(\"_guiRelayout\",e,\"hovermode\",t)}Pl.resetViewSankey={name:\"resetSankeyGroup\",title:function(e){return rl(e,\"Reset view\")},icon:Ll.home,click:function(e){for(var t={\"node.groups\":[],\"node.x\":[],\"node.y\":[]},r=0;r<e._fullData.length;r++){var n=e._fullData[r]._viewInitial;t[\"node.groups\"].push(n.node.groups.slice()),t[\"node.x\"].push(n.node.x.slice()),t[\"node.y\"].push(n.node.y.slice())}S0.call(\"restyle\",e,t)}};Pl.toggleHover={name:\"toggleHover\",title:function(e){return rl(e,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:Ll.tooltip_basic,gravity:\"ne\",click:function(e,t){var r=ece(e,t);r.hovermode=tce(e),S0.call(\"_guiRelayout\",e,r)}};Pl.resetViews={name:\"resetViews\",title:function(e){return rl(e,\"Reset views\")},icon:Ll.home,click:function(e,t){var r=t.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),qv(e,t),r.setAttribute(\"data-attr\",\"resetLastSave\"),eN(e,t),W3(e,\"geo\"),W3(e,\"mapbox\"),W3(e,\"map\")}};Pl.toggleSpikelines={name:\"toggleSpikelines\",title:function(e){return rl(e,\"Toggle Spike Lines\")},icon:Ll.spikeline,attr:\"_cartesianSpikesEnabled\",val:\"on\",click:function(e){var t=e._fullLayout,r=t._cartesianSpikesEnabled;t._cartesianSpikesEnabled=r===\"on\"?\"off\":\"on\",S0.call(\"_guiRelayout\",e,xct(e))}};function xct(e){for(var t=e._fullLayout,r=t._cartesianSpikesEnabled===\"on\",n=Que.list(e,null,!0),i={},a=0;a<n.length;a++){var o=n[a];i[o._name+\".showspikes\"]=r?!0:o._showSpikeInitial}return i}Pl.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(e){return rl(e,\"Reset view\")},attr:\"reset\",icon:Ll.home,click:function(e){W3(e,\"mapbox\")}};Pl.resetViewMap={name:\"resetViewMap\",_cat:\"resetView\",title:function(e){return rl(e,\"Reset view\")},attr:\"reset\",icon:Ll.home,click:function(e){W3(e,\"map\")}};Pl.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(e){return rl(e,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:Ll.zoom_plus,click:ice};Pl.zoomInMap={name:\"zoomInMap\",_cat:\"zoomin\",title:function(e){return rl(e,\"Zoom 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sce=rN(),bct=Object.keys(sce),lce=[\"drawline\",\"drawopenpath\",\"drawclosedpath\",\"drawcircle\",\"drawrect\",\"eraseshape\"],uce=[\"v1hovermode\",\"hoverclosest\",\"hovercompare\",\"togglehover\",\"togglespikelines\"].concat(lce),X3=[],wct=function(e){if(uce.indexOf(e._cat||e.name)===-1){var t=e.name,r=(e._cat||e.name).toLowerCase();X3.indexOf(t)===-1&&X3.push(t),X3.indexOf(r)===-1&&X3.push(r)}};bct.forEach(function(e){wct(sce[e])});X3.sort();cce.exports={DRAW_MODES:lce,backButtons:uce,foreButtons:X3}});var nN=ye((Onr,fce)=>{\"use strict\";var znr=iN();fce.exports={editType:\"modebar\",orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"h\",editType:\"modebar\"},bgcolor:{valType:\"color\",editType:\"modebar\"},color:{valType:\"color\",editType:\"modebar\"},activecolor:{valType:\"color\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},add:{valType:\"string\",arrayOk:!0,dflt:\"\",editType:\"modebar\"},remove:{valType:\"string\",arrayOk:!0,dflt:\"\",editType:\"modebar\"}}});var dce=ye((qnr,hce)=>{\"use strict\";var Tct=Dr(),gM=Ca(),Act=pl(),Sct=nN();hce.exports=function(t,r){var n=t.modebar||{},i=Act.newContainer(r,\"modebar\");function a(s,l){return Tct.coerce(n,i,Sct,s,l)}a(\"orientation\"),a(\"bgcolor\",gM.addOpacity(r.paper_bgcolor,.5));var o=gM.contrast(gM.rgb(r.modebar.bgcolor));a(\"color\",gM.addOpacity(o,.3)),a(\"activecolor\",gM.addOpacity(o,.7)),a(\"uirevision\",r.uirevision),a(\"add\"),a(\"remove\")}});var mce=ye((Bnr,gce)=>{\"use strict\";var aN=Oa(),Mct=Eo(),lP=Dr(),vce=HL(),Ect=o6().version,Cct=new DOMParser;function pce(e){this.container=e.container,this.element=document.createElement(\"div\"),this.update(e.graphInfo,e.buttons),this.container.appendChild(this.element)}var Tm=pce.prototype;Tm.update=function(e,t){this.graphInfo=e;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=\"modebar-\"+n._uid;this.element.setAttribute(\"id\",i),this.element.setAttribute(\"role\",\"toolbar\"),this._uid=i,this.element.className=\"modebar modebar--custom\",r.displayModeBar===\"hover\"&&(this.element.className+=\" modebar--hover ease-bg\"),n.modebar.orientation===\"v\"&&(this.element.className+=\" vertical\",t=t.reverse());var a=n.modebar,o=\"#\"+i+\" .modebar-group\";document.querySelectorAll(o).forEach(function(f){f.style.backgroundColor=a.bgcolor});var s=!this.hasButtons(t),l=this.hasLogo!==r.displaylogo,u=this.locale!==r.locale;if(this.locale=r.locale,(s||l||u)&&(this.removeAllButtons(),this.updateButtons(t),r.watermark||r.displaylogo)){var c=this.getLogo();r.watermark&&(c.className=c.className+\" watermark\"),n.modebar.orientation===\"v\"?this.element.insertBefore(c,this.element.childNodes[0]):this.element.appendChild(c),this.hasLogo=!0}this.updateActiveButton(),lP.setStyleOnHover(\"#\"+i+\" .modebar-btn\",\".active\",\".icon path\",\"fill: \"+a.activecolor,\"fill: \"+a.color,this.element)};Tm.updateButtons=function(e){var t=this;this.buttons=e,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach(function(r){var n=t.createGroup();r.forEach(function(i){var a=i.name;if(!a)throw new Error(\"must provide button 'name' in button config\");if(t.buttonsNames.indexOf(a)!==-1)throw new Error(\"button name '\"+a+\"' is taken\");t.buttonsNames.push(a);var o=t.createButton(i);t.buttonElements.push(o),n.appendChild(o)}),t.element.appendChild(n)})};Tm.createGroup=function(){var e=document.createElement(\"div\");e.className=\"modebar-group\";var t=this.graphInfo._fullLayout.modebar;return e.style.backgroundColor=t.bgcolor,e};Tm.createButton=function(e){var t=this,r=document.createElement(\"button\");r.setAttribute(\"type\",\"button\"),r.setAttribute(\"rel\",\"tooltip\"),r.className=\"modebar-btn\";var n=e.title;n===void 0?n=e.name:typeof n==\"function\"&&(n=n(this.graphInfo)),(n||n===0)&&(r.setAttribute(\"data-title\",n),r.setAttribute(\"aria-label\",n)),e.attr!==void 0&&r.setAttribute(\"data-attr\",e.attr);var i=e.val;i!==void 0&&(typeof i==\"function\"&&(i=i(this.graphInfo)),r.setAttribute(\"data-val\",i));var a=e.click;if(typeof a!=\"function\")throw new Error(\"must provide button 'click' function in button 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n.setAttribute(\"height\",\"1em\"),n.setAttribute(\"width\",\"1em\"),n};Tm.updateActiveButton=function(e){var t=this.graphInfo._fullLayout,r=e!==void 0?e.getAttribute(\"data-attr\"):null;this.buttonElements.forEach(function(n){var i=n.getAttribute(\"data-val\")||!0,a=n.getAttribute(\"data-attr\"),o=n.getAttribute(\"data-toggle\")===\"true\",s=aN.select(n),l=function(f,h){var d=t.modebar,v=f.querySelector(\".icon path\");v&&(h||f.matches(\":hover\")?v.style.fill=d.activecolor:v.style.fill=d.color)};if(o){if(a===r){var u=!s.classed(\"active\");s.classed(\"active\",u),l(n,u)}}else{var c=a===null?a:lP.nestedProperty(t,a).get();s.classed(\"active\",c===i),l(n,c===i)}})};Tm.hasButtons=function(e){var t=this.buttons;if(!t||e.length!==t.length)return!1;for(var r=0;r<e.length;++r){if(e[r].length!==t[r].length)return!1;for(var n=0;n<e[r].length;n++)if(e[r][n].name!==t[r][n].name)return!1}return!0};function kct(e){return e+\" (v\"+Ect+\")\"}Tm.getLogo=function(){var e=this.createGroup(),t=document.createElement(\"a\");return t.href=\"https://plotly.com/\",t.target=\"_blank\",t.setAttribute(\"data-title\",kct(lP._(this.graphInfo,\"Produced with Plotly.js\"))),t.className=\"modebar-btn plotlyjsicon modebar-btn--logo\",t.appendChild(this.createIcon(vce.newplotlylogo)),e.appendChild(t),e};Tm.removeAllButtons=function(){for(;this.element.firstChild;)this.element.removeChild(this.element.firstChild);this.hasLogo=!1};Tm.destroy=function(){lP.removeElement(this.container.querySelector(\".modebar\"))};function Lct(e,t){var r=e._fullLayout,n=new pce({graphInfo:e,container:r._modebardiv.node(),buttons:t});return r._privateplot&&aN.select(n.element).append(\"span\").classed(\"badge-private float--left\",!0).text(\"PRIVATE\"),n}gce.exports=Lct});var xce=ye((Nnr,_ce)=>{\"use strict\";var Pct=hf(),yce=Ru(),oN=qa(),Ict=rp().isUnifiedHover,Rct=mce(),uP=rN(),Dct=iN().DRAW_MODES,Fct=Dr().extendDeep;_ce.exports=function(t){var r=t._fullLayout,n=t._context,i=r._modeBar;if(!n.displayModeBar&&!n.watermark){i&&(i.destroy(),delete r._modeBar);return}if(!Array.isArray(n.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(n.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var a=n.modeBarButtons,o;Array.isArray(a)&&a.length?o=Uct(a):!n.displayModeBar&&n.watermark?o=[]:o=zct(t),i?i.update(t,o):r._modeBar=Rct(t,o)};function zct(e){var t=e._fullLayout,r=e._fullData,n=e._context;function i(N,j){if(typeof j==\"string\"){if(j.toLowerCase()===N.toLowerCase())return!0}else{var re=j.name,oe=j._cat||j.name;if(re===N||oe===N.toLowerCase())return!0}return!1}var a=t.modebar.add;typeof a==\"string\"&&(a=[a]);var o=t.modebar.remove;typeof o==\"string\"&&(o=[o]);var s=n.modeBarButtonsToAdd.concat(a.filter(function(N){for(var j=0;j<n.modeBarButtonsToRemove.length;j++)if(i(N,n.modeBarButtonsToRemove[j]))return!1;return!0})),l=n.modeBarButtonsToRemove.concat(o.filter(function(N){for(var j=0;j<n.modeBarButtonsToAdd.length;j++)if(i(N,n.modeBarButtonsToAdd[j]))return!1;return!0})),u=t._has(\"cartesian\"),c=t._has(\"gl3d\"),f=t._has(\"geo\"),h=t._has(\"pie\"),d=t._has(\"funnelarea\"),v=t._has(\"ternary\"),x=t._has(\"mapbox\"),b=t._has(\"map\"),p=t._has(\"polar\"),C=t._has(\"smith\"),E=t._has(\"sankey\"),A=Oct(t),L=Ict(t.hovermode),_=[];function k(N){if(N.length){for(var j=[],re=0;re<N.length;re++){for(var oe=N[re],_e=uP[oe],Me=_e.name.toLowerCase(),ke=(_e._cat||_e.name).toLowerCase(),me=!1,ie=0;ie<l.length;ie++){var Se=l[ie].toLowerCase();if(Se===Me||Se===ke){me=!0;break}}me||j.push(uP[oe])}_.push(j)}}var M=[\"toImage\"];n.showEditInChartStudio?M.push(\"editInChartStudio\"):n.showSendToCloud&&M.push(\"sendDataToCloud\"),k(M);var g=[],P=[],T=[],z=[];(u||h||d||v)+f+c+x+b+p+C>1?(P=[\"toggleHover\"],T=[\"resetViews\"]):f?(g=[\"zoomInGeo\",\"zoomOutGeo\"],P=[\"hoverClosestGeo\"],T=[\"resetGeo\"]):c?(P=[\"hoverClosest3d\"],T=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):x?(g=[\"zoomInMapbox\",\"zoomOutMapbox\"],P=[\"toggleHover\"],T=[\"resetViewMapbox\"]):b?(g=[\"zoomInMap\",\"zoomOutMap\"],P=[\"toggleHover\"],T=[\"resetViewMap\"]):h?P=[\"hoverClosestPie\"]:E?(P=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],T=[\"resetViewSankey\"]):P=[\"toggleHover\"],u&&P.push(\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"),(Bct(r)||L)&&(P=[]),u&&!A&&(g=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],T[0]!==\"resetViews\"&&(T=[\"resetScale2d\"])),c?z=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:u&&!A||v?z=[\"zoom2d\",\"pan2d\"]:x||b||f?z=[\"pan2d\"]:p&&(z=[\"zoom2d\"]),qct(r)&&z.push(\"select2d\",\"lasso2d\");var O=[],V=function(N){O.indexOf(N)===-1&&P.indexOf(N)!==-1&&O.push(N)};if(Array.isArray(s)){for(var G=[],Z=0;Z<s.length;Z++){var H=s[Z];typeof H==\"string\"?(H=H.toLowerCase(),Dct.indexOf(H)!==-1?(t._has(\"mapbox\")||t._has(\"map\")||t._has(\"cartesian\"))&&z.push(H):H===\"togglespikelines\"?V(\"toggleSpikelines\"):H===\"togglehover\"?V(\"toggleHover\"):H===\"hovercompare\"?V(\"hoverCompareCartesian\"):H===\"hoverclosest\"?(V(\"hoverClosestCartesian\"),V(\"hoverClosestGeo\"),V(\"hoverClosest3d\"),V(\"hoverClosestPie\")):H===\"v1hovermode\"&&(V(\"hoverClosestCartesian\"),V(\"hoverCompareCartesian\"),V(\"hoverClosestGeo\"),V(\"hoverClosest3d\"),V(\"hoverClosestPie\"))):G.push(H)}s=G}return k(z),k(g.concat(T)),k(O),Nct(_,s)}function Oct(e){for(var t=Pct.list({_fullLayout:e},null,!0),r=0;r<t.length;r++){var n=t[r].modebardisable;if(!t[r].fixedrange&&n!==\"autoscale+zoominout\"&&n!==\"zoominout+autoscale\")return!1}return!0}function qct(e){for(var t=!1,r=0;r<e.length&&!t;r++){var n=e[r];!n._module||!n._module.selectPoints||(oN.traceIs(n,\"scatter-like\")?(yce.hasMarkers(n)||yce.hasText(n))&&(t=!0):oN.traceIs(n,\"box-violin\")?(n.boxpoints===\"all\"||n.points===\"all\")&&(t=!0):t=!0)}return t}function Bct(e){for(var t=0;t<e.length;t++)if(!oN.traceIs(e[t],\"noHover\"))return!1;return!0}function Nct(e,t){if(t.length)if(Array.isArray(t[0]))for(var r=0;r<t.length;r++)e.push(t[r]);else e.push(t);return e}function Uct(e){for(var t=Fct([],e),r=0;r<t.length;r++)for(var n=t[r],i=0;i<n.length;i++){var a=n[i];if(typeof a==\"string\")if(uP[a]!==void 0)t[r][i]=uP[a];else throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"))}return t}});var sN=ye((Unr,bce)=>{\"use strict\";bce.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:nN(),supplyLayoutDefaults:dce(),manage:xce()}});var lN=ye((Vnr,wce)=>{\"use strict\";var Vct=Kh().FROM_BL;wce.exports=function(t,r,n){n===void 0&&(n=Vct[t.constraintoward||\"center\"]);var i=[t.r2l(t.range[0]),t.r2l(t.range[1])],a=i[0]+(i[1]-i[0])*n;t.range=t._input.range=[t.l2r(a+(i[0]-a)*r),t.l2r(a+(i[1]-a)*r)],t.setScale()}});var Bb=ye(mM=>{\"use strict\";var qb=Dr(),uN=wg(),Mg=hf().id2name,Gct=Rd(),Tce=lN(),Hct=ym(),jct=hs().ALMOST_EQUAL,Wct=Kh().FROM_BL;mM.handleDefaults=function(e,t,r){var n=r.axIds,i=r.axHasImage,a=t._axisConstraintGroups=[],o=t._axisMatchGroups=[],s,l,u,c,f,h,d,v;for(s=0;s<n.length;s++)c=Mg(n[s]),f=e[c],h=t[c],Xct(f,h,{axIds:n,layoutOut:t,hasImage:i[c]});function x(M,g){for(s=0;s<M.length;s++){l=M[s];for(u in l)t[Mg(u)][g]=l}}for(x(o,\"_matchGroup\"),s=0;s<a.length;s++){l=a[s];for(u in l)if(h=t[Mg(u)],h.fixedrange){for(var b in l){var p=Mg(b);(e[p]||{}).fixedrange===!1&&qb.warn(\"fixedrange was specified as false for axis \"+p+\" but was overridden because another axis in its constraint group has fixedrange true\"),t[p].fixedrange=!0}break}}for(s=0;s<a.length;){l=a[s];for(u in l){h=t[Mg(u)],h._matchGroup&&Object.keys(h._matchGroup).length===Object.keys(l).length&&(a.splice(s,1),s--);break}s++}x(a,\"_constraintGroup\");var C=[\"constrain\",\"range\",\"autorange\",\"rangemode\",\"rangebreaks\",\"categoryorder\",\"categoryarray\"],E=!1,A=!1;function L(){v=h[d],d===\"rangebreaks\"&&(A=h._hasDayOfWeekBreaks)}for(s=0;s<o.length;s++){l=o[s];for(var _=0;_<C.length;_++){d=C[_],v=null;var k;for(u in l)if(c=Mg(u),f=e[c],h=t[c],d in h){if(!h.matches&&(k=h,d in f)){L();break}v===null&&d in f&&L()}if(d===\"range\"&&v&&f.range&&f.range.length===2&&f.range[0]!==null&&f.range[1]!==null&&(E=!0),d===\"autorange\"&&v===null&&E&&(v=!1),v===null&&d in k&&(v=k[d]),v!==null)for(u in l)h=t[Mg(u)],h[d]=d===\"range\"?v.slice():v,d===\"rangebreaks\"&&(h._hasDayOfWeekBreaks=A,Hct(h,t))}}};function Xct(e,t,r){var 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De=\"M0,0\";kce(c,o)&&(oe=cP(c,\"bottom\",u,i),H=c._offset+c._length+(oe?n:0),_e=cP(c,\"top\",u,i),N=c._offset-(_e?n:0),j=f(c,u,\"left\"),re=f(c,u,\"right\"),Me=!c._anchorAxis||o!==c._mainSubplot,Me&&(c.mirror===\"allticks\"||c.mirror===\"all\")&&(c._linepositions[o]=[j,re]),De=Le(c,ie,Se),Me&&c.showline&&(c.mirror===\"all\"||c.mirror===\"allticks\")&&(De+=ie(j)+ie(re)),s.ylines.style(\"stroke-width\",c._lw+\"px\").call(yM.stroke,c.showline?c.linecolor:\"rgba(0,0,0,0)\")),s.ylines.attr(\"d\",De)}return _M.makeClipPaths(e),Jp.previousPromises(e)}function kce(e,t){return(e.ticks||e.showline)&&(t===e._mainSubplot||e.mirror===\"all\"||e.mirror===\"allticks\")}function Lce(e,t,r){if(!r.showline||!r._lw)return!1;if(r.mirror===\"all\"||r.mirror===\"allticks\")return!0;var n=r._anchorAxis;if(!n)return!1;var i=Cy.FROM_BL[t];return r.side===t?n.domain[i]===e.domain[i]:r.mirror&&n.domain[1-i]===e.domain[1-i]}function cP(e,t,r,n){if(Lce(e,t,r))return r._lw;for(var i=0;i<n.length;i++){var a=n[i];if(a._mainAxis===r._mainAxis&&Lce(e,t,a))return a._lw}return 0}pd.drawMainTitle=function(e){var t=e._fullLayout.title,r=e._fullLayout,n=sft(r),i=lft(r),a=oft(r,i),o=aft(r,n);if(Ece.draw(e,\"gtitle\",{propContainer:r,propName:\"title.text\",subtitlePropName:\"title.subtitle.text\",placeholder:r._dfltTitle.plot,subtitlePlaceholder:r._dfltTitle.subtitle,attributes:{x:o,y:a,\"text-anchor\":n,dy:i}}),t.text&&t.automargin){var s=fP.selectAll(\".gtitle\"),l=Z3.bBox(fP.selectAll(\".g-gtitle\").node()).height,u=ift(e,t,l);if(u>0){nft(e,a,u,l),s.attr({x:o,y:a,\"text-anchor\":n,dy:Pce(t.yanchor)}).call(hN.positionText,o,a);var c=(t.text.match(hN.BR_TAG_ALL)||[]).length;if(c){var f=Cy.LINE_SPACING*c+Cy.MID_SHIFT;t.y===0&&(f=-f),s.selectAll(\".line\").each(function(){var b=+this.getAttribute(\"dy\").slice(0,-2)-f+\"em\";this.setAttribute(\"dy\",b)})}var h=fP.selectAll(\".gtitle-subtitle\");if(h.node()){var d=s.node().getBBox(),v=d.y+d.height,x=v+Ece.SUBTITLE_PADDING_EM*t.subtitle.font.size;h.attr({x:o,y:x,\"text-anchor\":n,dy:Pce(t.yanchor)}).call(hN.positionText,o,x)}}}};function tft(e,t,r,n,i){var a=t.yref===\"paper\"?e._fullLayout._size.h:e._fullLayout.height,o=M0.isTopAnchor(t)?n:n-i,s=r===\"b\"?a-o:o;return M0.isTopAnchor(t)&&r===\"t\"||M0.isBottomAnchor(t)&&r===\"b\"?!1:s<i}function rft(e,t,r,n,i){var a=0;return r===\"middle\"&&(a+=i/2),e===\"t\"?(r===\"top\"&&(a+=i),a+=n-t*n):(r===\"bottom\"&&(a+=i),a+=t*n),a}function ift(e,t,r){var n=t.y,i=t.yanchor,a=n>.5?\"t\":\"b\",o=e._fullLayout.margin[a],s=0;return t.yref===\"paper\"?s=r+t.pad.t+t.pad.b:t.yref===\"container\"&&(s=rft(a,n,i,e._fullLayout.height,r)+t.pad.t+t.pad.b),s>o?s:0}function nft(e,t,r,n){var i=\"title.automargin\",a=e._fullLayout.title,o=a.y>.5?\"t\":\"b\",s={x:a.x,y:a.y,t:0,b:0},l={};a.yref===\"paper\"&&tft(e,a,o,t,n)?s[o]=r:a.yref===\"container\"&&(l[o]=r,e._fullLayout._reservedMargin[i]=l),Jp.allowAutoMargin(e,i),Jp.autoMargin(e,i,s)}function aft(e,t){var r=e.title,n=e._size,i=0;switch(t===Dce?i=r.pad.l:t===Fce&&(i=-r.pad.r),r.xref){case\"paper\":return n.l+n.w*r.x+i;case\"container\":default:return e.width*r.x+i}}function oft(e,t){var r=e.title,n=e._size,i=0;if(t===\"0em\"||!t?i=-r.pad.b:t===Cy.CAP_SHIFT+\"em\"&&(i=r.pad.t),r.y===\"auto\")return n.t/2;switch(r.yref){case\"paper\":return n.t+n.h-n.h*r.y+i;case\"container\":default:return e.height-e.height*r.y+i}}function Pce(e){return e===\"top\"?Cy.CAP_SHIFT+.3+\"em\":e===\"bottom\"?\"-0.3em\":Cy.MID_SHIFT+\"em\"}function sft(e){var t=e.title,r=Jct;return M0.isRightAnchor(t)?r=Fce:M0.isLeftAnchor(t)&&(r=Dce),r}function lft(e){var t=e.title,r=\"0em\";return M0.isTopAnchor(t)?r=Cy.CAP_SHIFT+\"em\":M0.isMiddleAnchor(t)&&(r=Cy.MID_SHIFT+\"em\"),r}pd.doTraceStyle=function(e){var t=e.calcdata,r=[],n;for(n=0;n<t.length;n++){var i=t[n],a=i[0]||{},o=a.trace||{},s=o._module||{},l=s.arraysToCalcdata;l&&l(i,o);var u=s.editStyle;u&&r.push({fn:u,cd0:a})}if(r.length){for(n=0;n<r.length;n++){var c=r[n];c.fn(e,c.cd0)}dN(e),pd.redrawReglTraces(e)}return Jp.style(e),Bv.getComponentMethod(\"legend\",\"draw\")(e),Jp.previousPromises(e)};pd.doColorBars=function(e){return Bv.getComponentMethod(\"colorbar\",\"draw\")(e),Jp.previousPromises(e)};pd.layoutReplot=function(e){var t=e.layout;return e.layout=void 0,Bv.call(\"_doPlot\",e,\"\",t)};pd.doLegend=function(e){return Bv.getComponentMethod(\"legend\",\"draw\")(e),Jp.previousPromises(e)};pd.doTicksRelayout=function(e){return 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r=e._fullData,n=[],i=[],a,o;for(t._hasOnlyLargeSploms&&t._splomGrid.draw(),a=0;a<r.length;a++){var s=r[a];s.visible===!0&&s._length!==0&&(s.type===\"splom\"?t._splomScenes[s.uid].draw():s.type===\"scattergl\"?M0.pushUnique(n,s.xaxis+s.yaxis):s.type===\"scatterpolargl\"&&M0.pushUnique(i,s.subplot))}for(a=0;a<n.length;a++)o=t._plots[n[a]],o._scene&&o._scene.draw();for(a=0;a<i.length;a++)o=t[i[a]]._subplot,o._scene&&o._scene.draw()}};pd.doAutoRangeAndConstraints=function(e){for(var t=_M.list(e,\"\",!0),r,n={},i=0;i<t.length;i++)if(r=t[i],!n[r._id]){n[r._id]=1,Kct(e,r),Cce(e,r);var a=r._matchGroup;if(a)for(var o in a){var 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L=x[0],_=x[1];_.node().addEventListener(\"click\",function(){return vft(e,L)})}}function dft(e,t,r){var n=r.xref+r.yref;Oce.setClipUrl(e,\"clip\"+t._fullLayout._uid+n,t)}function vft(e,t){if(dP(e)){var r=t.node(),n=+r.getAttribute(\"data-index\");if(n>=0){if(n===e._fullLayout._activeSelectionIndex){pN(e);return}e._fullLayout._activeSelectionIndex=n,e._fullLayout._deactivateSelection=pN,hP(e)}}}function pft(e){if(dP(e)){var t=e._fullLayout.selections.length-1;e._fullLayout._activeSelectionIndex=t,e._fullLayout._deactivateSelection=pN,hP(e)}}function pN(e){if(dP(e)){var t=e._fullLayout._activeSelectionIndex;t>=0&&(zce(e),delete e._fullLayout._activeSelectionIndex,hP(e))}}});var Vce=ye((Wnr,Uce)=>{function gft(){var e,t=0,r=!1;function n(i,a){return e.list.push({type:i,data:a?JSON.parse(JSON.stringify(a)):void 0}),e}return e={list:[],segmentId:function(){return t++},checkIntersection:function(i,a){return n(\"check\",{seg1:i,seg2:a})},segmentChop:function(i,a){return 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Wce=ye((Znr,jce)=>{var yft={create:function(){var e={root:{root:!0,next:null},exists:function(t){return!(t===null||t===e.root)},isEmpty:function(){return e.root.next===null},getHead:function(){return e.root.next},insertBefore:function(t,r){for(var n=e.root,i=e.root.next;i!==null;){if(r(i)){t.prev=i.prev,t.next=i,i.prev.next=t,i.prev=t;return}n=i,i=i.next}n.next=t,t.prev=n,t.next=null},findTransition:function(t){for(var r=e.root,n=e.root.next;n!==null&&!t(n);)r=n,n=n.next;return{before:r===e.root?null:r,after:n,insert:function(i){return i.prev=r,i.next=n,r.next=i,n!==null&&(n.prev=i),i}}}};return e},node:function(e){return e.prev=null,e.next=null,e.remove=function(){e.prev.next=e.next,e.next&&(e.next.prev=e.prev),e.prev=null,e.next=null},e}};jce.exports=yft});var Zce=ye((Ynr,Xce)=>{var bM=Wce();function _ft(e,t,r){function n(v,x){return{id:r?r.segmentId():-1,start:v,end:x,myFill:{above:null,below:null},otherFill:null}}function 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f(V,G,Z){return c.index=V,c.matches_head=G,c.matches_pt1=Z,c===l?(c=u,!1):(c=null,!0)}for(var h=0;h<n.length;h++){var d=n[h],v=d[0],x=d[1],b=d[d.length-1],p=d[d.length-2];if(t.pointsSame(v,o)){if(f(h,!0,!0))break}else if(t.pointsSame(v,s)){if(f(h,!0,!1))break}else if(t.pointsSame(b,o)){if(f(h,!1,!0))break}else if(t.pointsSame(b,s)&&f(h,!1,!1))break}if(c===l){n.push([o,s]),r&&r.chainNew(o,s);return}if(c===u){r&&r.chainMatch(l.index);var C=l.index,E=l.matches_pt1?s:o,A=l.matches_head,d=n[C],L=A?d[0]:d[d.length-1],_=A?d[1]:d[d.length-2],k=A?d[d.length-1]:d[0],M=A?d[d.length-2]:d[1];if(t.pointsCollinear(_,L,E)&&(A?(r&&r.chainRemoveHead(l.index,E),d.shift()):(r&&r.chainRemoveTail(l.index,E),d.pop()),L=_),t.pointsSame(k,E)){n.splice(C,1),t.pointsCollinear(M,k,L)&&(A?(r&&r.chainRemoveTail(l.index,L),d.pop()):(r&&r.chainRemoveHead(l.index,L),d.shift())),r&&r.chainClose(l.index),i.push(d);return}A?(r&&r.chainAddHead(l.index,E),d.unshift(E)):(r&&r.chainAddTail(l.index,E),d.push(E));return}function g(V){r&&r.chainReverse(V),n[V].reverse()}function P(V,G){var Z=n[V],H=n[G],N=Z[Z.length-1],j=Z[Z.length-2],re=H[0],oe=H[1];t.pointsCollinear(j,N,re)&&(r&&r.chainRemoveTail(V,N),Z.pop(),N=j),t.pointsCollinear(N,re,oe)&&(r&&r.chainRemoveHead(G,re),H.shift()),r&&r.chainJoin(V,G),n[V]=Z.concat(H),n.splice(G,1)}var T=l.index,z=u.index;r&&r.chainConnect(T,z);var O=n[T].length<n[z].length;l.matches_head?u.matches_head?O?(g(T),P(T,z)):(g(z),P(z,T)):P(z,T):u.matches_head?P(T,z):O?(g(T),P(z,T)):(g(z),P(T,z))}),i}Yce.exports=xft});var $ce=ye((Jnr,Jce)=>{function wM(e,t,r){var n=[];return e.forEach(function(i){var a=(i.myFill.above?8:0)+(i.myFill.below?4:0)+(i.otherFill&&i.otherFill.above?2:0)+(i.otherFill&&i.otherFill.below?1:0);t[a]!==0&&n.push({id:r?r.segmentId():-1,start:i.start,end:i.end,myFill:{above:t[a]===1,below:t[a]===2},otherFill:null})}),r&&r.selected(n),n}var bft={union:function(e,t){return wM(e,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],t)},intersect:function(e,t){return wM(e,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],t)},difference:function(e,t){return wM(e,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],t)},differenceRev:function(e,t){return wM(e,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],t)},xor:function(e,t){return wM(e,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],t)}};Jce.exports=bft});var efe=ye(($nr,Qce)=>{var wft={toPolygon:function(e,t){function r(a){if(a.length<=0)return 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r=e.dragmode,n=e.plotinfo,i=e.gd;jft(i)&&i._fullLayout._deactivateShape(i),Wft(i)&&i._fullLayout._deactivateSelection(i);var a=i._fullLayout,o=a._zoomlayer,s=LM(r),l=wN(r);if(s||l){var u=o.selectAll(\".select-outline-\"+n.id);if(u&&i._fullLayout._outlining){var c;s&&(c=Rft(u,e)),c&&kM.call(\"_guiRelayout\",i,{shapes:c});var f;l&&!SN(e)&&(f=Dft(u,e)),f&&(i._fullLayout._noEmitSelectedAtStart=!0,kM.call(\"_guiRelayout\",i,{selections:f}).then(function(){t&&Fft(i)})),i._fullLayout._outlining=!1}}n.selection={},n.selection.selectionDefs=e.selectionDefs=[],n.selection.mergedPolygons=e.mergedPolygons=[]}function vfe(e){return e._id}function _P(e,t,r,n){if(!e.calcdata)return[];var i=[],a=t.map(vfe),o=r.map(vfe),s,l,u;for(u=0;u<e.calcdata.length;u++)if(s=e.calcdata[u],l=s[0].trace,!(l.visible!==!0||!l._module||!l._module.selectPoints))if(SN({subplot:n})&&(l.subplot===n||l.geo===n))i.push(gP(l._module,s,t[0],r[0]));else if(l.type===\"splom\"){if(l._xaxes[a[0]]&&l._yaxes[o[0]]){var 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Zfe=Dr(),TP=ho(),ght=Yd(),mht=LN(),Yfe=h_();Kfe.exports=function(t,r){ght(t,r,{name:\"selections\",handleItemDefaults:yht});for(var n=r.selections,i=0;i<n.length;i++){var a=n[i];a&&a.path===void 0&&(a.x0===void 0||a.x1===void 0||a.y0===void 0||a.y1===void 0)&&(r.selections[i]=null)}};function yht(e,t,r){function n(_,k){return Zfe.coerce(e,t,mht,_,k)}var i=n(\"path\"),a=i?\"path\":\"rect\",o=n(\"type\",a),s=o!==\"path\";s&&delete t.path,n(\"opacity\"),n(\"line.color\"),n(\"line.width\"),n(\"line.dash\");for(var l=[\"x\",\"y\"],u=0;u<2;u++){var c=l[u],f={_fullLayout:r},h,d,v,x=TP.coerceRef(e,t,f,c);if(h=TP.getFromId(f,x),h._selectionIndices.push(t._index),v=Yfe.rangeToShapePosition(h),d=Yfe.shapePositionToRange(h),s){var b=c+\"0\",p=c+\"1\",C=e[b],E=e[p];e[b]=d(e[b],!0),e[p]=d(e[p],!0),TP.coercePosition(t,f,n,x,b),TP.coercePosition(t,f,n,x,p);var A=t[b],L=t[p];A!==void 0&&L!==void 0&&(t[b]=v(A),t[p]=v(L),e[b]=C,e[p]=E)}}s&&Zfe.noneOrAll(e,t,[\"x0\",\"x1\",\"y0\",\"y1\"])}});var 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c=s._mainLinePosition;s.side===\"top\"&&(c-=gd),Cg(t,o,s._offset+s._length*.1,c,s._length*.8,gd,\"\",\"ew\"),Cg(t,o,s._offset,c,s._length*.1,gd,\"\",\"w\"),Cg(t,o,s._offset+s._length*.9,c,s._length*.1,gd,\"\",\"e\")}if(a===l._mainSubplot){var f=l._mainLinePosition;l.side!==\"right\"&&(f-=gd),Cg(t,o,f,l._offset+l._length*.1,gd,l._length*.8,\"ns\",\"\"),Cg(t,o,f,l._offset+l._length*.9,gd,l._length*.1,\"s\",\"\"),Cg(t,o,f,l._offset,gd,l._length*.1,\"n\",\"\")}}});var i=r._hoverlayer.node();i.onmousemove=function(a){a.target=t._fullLayout._lasthover,EP.hover(t,a,r._hoversubplot)},i.onclick=function(a){a.target=t._fullLayout._lasthover,EP.click(t,a)},i.onmousedown=function(a){t._fullLayout._lasthover.onmousedown(a)},CP.updateFx(t)}};CP.updateFx=function(e){var t=e._fullLayout,r=t.dragmode===\"pan\"?\"move\":\"crosshair\";Vht(t._draggers,r)}});var Ehe=ye((xar,Mhe)=>{\"use strict\";var She=qa();Mhe.exports=function(t){for(var r=She.layoutArrayContainers,n=She.layoutArrayRegexes,i=t.split(\"[\")[0],a,o,s=0;s<n.length;s++)if(o=t.match(n[s]),o&&o.index===0){a=o[0];break}if(a||(a=r[r.indexOf(i)]),!a)return!1;var l=t.substr(a.length);return l?(o=l.match(/^\\[(0|[1-9][0-9]*)\\](\\.(.+))?$/),o?{array:a,index:Number(o[1]),property:o[3]||\"\"}:!1):{array:a,index:\"\",property:\"\"}}});var khe=ye(BM=>{\"use strict\";var Ght=gy(),BN=x6(),qM=H1(),Hht=P6().sorterAsc,NN=qa();BM.containerArrayMatch=Ehe();var jht=BM.isAddVal=function(t){return t===\"add\"||Ght(t)},Che=BM.isRemoveVal=function(t){return t===null||t===\"remove\"};BM.applyContainerArrayChanges=function(t,r,n,i,a){var o=r.astr,s=NN.getComponentMethod(o,\"supplyLayoutDefaults\"),l=NN.getComponentMethod(o,\"draw\"),u=NN.getComponentMethod(o,\"drawOne\"),c=i.replot||i.recalc||s===BN||l===BN,f=t.layout,h=t._fullLayout;if(n[\"\"]){Object.keys(n).length>1&&qM.warn(\"Full array edits are incompatible with other edits\",o);var d=n[\"\"][\"\"];if(Che(d))r.set(null);else 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O;if(E===-1)O=v;else{for(A=Math.max(b.length,A),O=[],L=0;L<v.length&&(k=v[L],!(k>=E));L++)O.push(k);for(L=E;L<A;L++)O.push(L)}for(L=0;L<O.length;L++)u(t,O[L])}else l(t);return!0}});var Ohe=ye(kg=>{\"use strict\";var Rhe=Eo(),war=RO(),Dhe=qa(),Ep=Dr(),NM=Mc(),Fhe=hf(),zhe=Ca(),UM=Fhe.cleanId,Wht=Fhe.getFromTrace,UN=Dhe.traceIs;kg.clearPromiseQueue=function(e){Array.isArray(e._promises)&&e._promises.length>0&&Ep.log(\"Clearing previous rejected promises from queue.\"),e._promises=[]};kg.cleanLayout=function(e){var t,r;e||(e={}),e.xaxis1&&(e.xaxis||(e.xaxis=e.xaxis1),delete e.xaxis1),e.yaxis1&&(e.yaxis||(e.yaxis=e.yaxis1),delete e.yaxis1),e.scene1&&(e.scene||(e.scene=e.scene1),delete e.scene1);var n=(NM.subplotsRegistry.cartesian||{}).attrRegex,i=(NM.subplotsRegistry.polar||{}).attrRegex,a=(NM.subplotsRegistry.ternary||{}).attrRegex,o=(NM.subplotsRegistry.gl3d||{}).attrRegex,s=Object.keys(e);for(t=0;t<s.length;t++){var l=s[t];if(n&&n.test(l)){var u=e[l];u.anchor&&u.anchor!==\"free\"&&(u.anchor=UM(u.anchor)),u.overlaying&&(u.overlaying=UM(u.overlaying)),u.type||(u.isdate?u.type=\"date\":u.islog?u.type=\"log\":u.isdate===!1&&u.islog===!1&&(u.type=\"linear\")),(u.autorange===\"withzero\"||u.autorange===\"tozero\")&&(u.autorange=!0,u.rangemode=\"tozero\"),u.insiderange&&delete u.range,delete u.islog,delete u.isdate,delete u.categories,kP(u,\"domain\")&&delete u.domain}}var c=Array.isArray(e.annotations)?e.annotations.length:0;for(t=0;t<c;t++){var f=e.annotations[t];Ep.isPlainObject(f)&&(Y3(f,\"xref\"),Y3(f,\"yref\"))}var h=Array.isArray(e.shapes)?e.shapes.length:0;for(t=0;t<h;t++){var d=e.shapes[t];Ep.isPlainObject(d)&&(Y3(d,\"xref\"),Y3(d,\"yref\"))}var v=Array.isArray(e.images)?e.images.length:0;for(t=0;t<v;t++){var x=e.images[t];Ep.isPlainObject(x)&&(Y3(x,\"xref\"),Y3(x,\"yref\"))}var b=e.legend;return b&&(b.x>3?(b.x=1.02,b.xanchor=\"left\"):b.x<-2&&(b.x=-.02,b.xanchor=\"right\"),b.y>3?(b.y=1.02,b.yanchor=\"bottom\"):b.y<-2&&(b.y=-.02,b.yanchor=\"top\")),e.dragmode===\"rotate\"&&(e.dragmode=\"orbit\"),zhe.clean(e),e.template&&e.template.layout&&kg.cleanLayout(e.template.layout),e};function Y3(e,t){var r=e[t],n=t.charAt(0);r&&r!==\"paper\"&&(e[t]=UM(r,n,!0))}kg.cleanData=function(e){for(var t=0;t<e.length;t++){var r=e[t],n;if(r.type===\"histogramy\"&&\"xbins\"in r&&!(\"ybins\"in r)&&(r.ybins=r.xbins,delete r.xbins),r.type===\"histogramy\"&&kg.swapXYData(r),(r.type===\"histogramx\"||r.type===\"histogramy\")&&(r.type=\"histogram\"),\"scl\"in r&&!(\"colorscale\"in r)&&(r.colorscale=r.scl,delete r.scl),\"reversescl\"in r&&!(\"reversescale\"in r)&&(r.reversescale=r.reversescl,delete r.reversescl),r.xaxis&&(r.xaxis=UM(r.xaxis,\"x\")),r.yaxis&&(r.yaxis=UM(r.yaxis,\"y\")),UN(r,\"gl3d\")&&r.scene&&(r.scene=NM.subplotsRegistry.gl3d.cleanId(r.scene)),!UN(r,\"pie-like\")&&!UN(r,\"bar-like\"))if(Array.isArray(r.textposition))for(n=0;n<r.textposition.length;n++)r.textposition[n]=Phe(r.textposition[n]);else r.textposition&&(r.textposition=Phe(r.textposition));var i=Dhe.getModule(r);if(i&&i.colorbar){var a=i.colorbar.container,o=a?r[a]:r;o&&o.colorscale&&(o.colorscale===\"YIGnBu\"&&(o.colorscale=\"YlGnBu\"),o.colorscale===\"YIOrRd\"&&(o.colorscale=\"YlOrRd\"))}if(r.type===\"surface\"&&Ep.isPlainObject(r.contours)){var s=[\"x\",\"y\",\"z\"];for(n=0;n<s.length;n++){var l=r.contours[s[n]];Ep.isPlainObject(l)&&(l.highlightColor&&(l.highlightcolor=l.highlightColor,delete l.highlightColor),l.highlightWidth&&(l.highlightwidth=l.highlightWidth,delete l.highlightWidth))}}if(r.type===\"candlestick\"||r.type===\"ohlc\"){var u=(r.increasing||{}).showlegend!==!1,c=(r.decreasing||{}).showlegend!==!1,f=Lhe(r.increasing),h=Lhe(r.decreasing);if(f!==!1&&h!==!1){var d=Xht(f,h,u,c);d&&(r.name=d)}else(f||h)&&!r.name&&(r.name=f||h)}kP(r,\"line\")&&delete r.line,\"marker\"in r&&(kP(r.marker,\"line\")&&delete r.marker.line,kP(r,\"marker\")&&delete r.marker),zhe.clean(r),r.autobinx&&(delete r.autobinx,delete r.xbins),r.autobiny&&(delete r.autobiny,delete r.ybins)}};function Lhe(e){if(!Ep.isPlainObject(e))return!1;var t=e.name;return delete e.name,delete e.showlegend,(typeof t==\"string\"||typeof t==\"number\")&&String(t)}function Xht(e,t,r,n){if(r&&!n)return e;if(n&&!r||!e.trim())return t;if(!t.trim())return e;var i=Math.min(e.length,t.length),a;for(a=0;a<i&&e.charAt(a)===t.charAt(a);a++);var o=e.substr(0,a);return o.trim()}function Phe(e){var t=\"middle\",r=\"center\";return typeof 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k=u._basePlotModules,M=0;M<k.length;M++)k[M].drawFramework&&k[M].drawFramework(e);!u._glcanvas&&u._has(\"gl\")&&(u._glcanvas=u._glcontainer.selectAll(\".gl-canvas\").data([{key:\"contextLayer\",context:!0,pick:!1},{key:\"focusLayer\",context:!1,pick:!1},{key:\"pickLayer\",context:!1,pick:!0}],function(z){return z.key}),u._glcanvas.enter().append(\"canvas\").attr(\"class\",function(z){return\"gl-canvas gl-canvas-\"+z.key.replace(\"Layer\",\"\")}).style({position:\"absolute\",top:0,left:0,overflow:\"visible\",\"pointer-events\":\"none\"}));var g=e._context.plotGlPixelRatio;if(u._glcanvas){u._glcanvas.attr(\"width\",u.width*g).attr(\"height\",u.height*g).style(\"width\",u.width+\"px\").style(\"height\",u.height+\"px\");var P=u._glcanvas.data()[0].regl;if(P&&(Math.floor(u.width*g)!==P._gl.drawingBufferWidth||Math.floor(u.height*g)!==P._gl.drawingBufferHeight)){var T=\"WebGL context buffer and canvas dimensions do not match due to browser/WebGL bug.\";if(v)xa.error(T);else return 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f,h;if(xa.isTypedArray(l))if(c<0){var d=new l.constructor(0),v=Xhe(l,u);c<0?(f=v,h=d):(f=d,h=v)}else if(f=new l.constructor(c),h=new l.constructor(l.length+u.length-c),c===u.length)f.set(u),h.set(l);else if(c<u.length){var x=u.length-c;f.set(u.subarray(x)),h.set(l),h.set(u.subarray(0,x),l.length)}else{var b=c-u.length,p=l.length-b;f.set(l.subarray(p)),f.set(u,b),h.set(l.subarray(0,p))}else f=l.concat(u),h=c>=0&&c<f.length?f.splice(0,f.length-c):[];return[f,h]}var a=Whe(e,t,r,n,i),o=Gl.redraw(e),s=[e,a.update,r,a.maxPoints];return np.add(e,Gl.prependTraces,s,Zhe,arguments),o}function Yhe(e,t,r,n){e=xa.getGraphDiv(e);function i(l,u,c){var f,h;if(xa.isTypedArray(l))if(c<=0){var d=new l.constructor(0),v=Xhe(u,l);c<0?(f=v,h=d):(f=d,h=v)}else if(f=new l.constructor(c),h=new l.constructor(l.length+u.length-c),c===u.length)f.set(u),h.set(l);else if(c<u.length){var x=u.length-c;f.set(u.subarray(0,x)),h.set(u.subarray(x)),h.set(l,x)}else{var 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me=\"x\",ie=\"y\";(z===\"bar\"||T===\"bar\")&&M.orientation===\"h\"&&(me=\"y\",ie=\"x\"),xa.swapAttrs(M,[\"?\",\"?src\"],\"labels\",me),xa.swapAttrs(M,[\"d?\",\"?0\"],\"label\",me),xa.swapAttrs(M,[\"?\",\"?src\"],\"values\",ie),T===\"pie\"||T===\"funnelarea\"?(Ec(M,\"marker.color\").set(Ec(M,\"marker.colors\").get()),n._pielayer.selectAll(\"g.trace\").remove()):L0.traceIs(M,\"cartesian\")&&Ec(M,\"marker.colors\").set(Ec(M,\"marker.color\").get())}h[_][u]=ky(T);var Se=[\"swapxy\",\"swapxyaxes\",\"orientation\",\"orientationaxes\"];if(Se.indexOf(_)!==-1){if(_===\"orientation\"){P.set(z);var Le=M.x&&!M.y?\"h\":\"v\";if((P.get()||Le)===g.orientation)continue}else _===\"orientationaxes\"&&(M.orientation={v:\"h\",h:\"v\"}[g.orientation]);Ih.swapXYData(M),c.calc=c.clearAxisTypes=!0}else 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xa.warn(\"Relayout fail.\",t,r),Promise.reject();Object.keys(n).length&&(e.changed=!0);var i=rde(e,n),a=i.flags;a.calc&&(e.calcdata=void 0);var o=[es.previousPromises];a.layoutReplot?o.push(Au.layoutReplot):Object.keys(n).length&&(Qhe(e,a,i)||es.supplyDefaults(e),a.legend&&o.push(Au.doLegend),a.layoutstyle&&o.push(Au.layoutStyles),a.axrange&&NP(o,i.rangesAltered),a.ticks&&o.push(Au.doTicksRelayout),a.modebar&&o.push(Au.doModeBar),a.camera&&o.push(Au.doCamera),a.colorbars&&o.push(Au.doColorBars),o.push(GM)),o.push(es.rehover,es.redrag,es.reselect),np.add(e,VM,[e,i.undoit],VM,[e,i.redoit]);var s=xa.syncOrAsync(o,e);return(!s||!s.then)&&(s=Promise.resolve(e)),s.then(function(){return e.emit(\"plotly_relayout\",i.eventData),e})}function Qhe(e,t,r){var n=e._fullLayout;if(!t.axrange)return!1;for(var i in t)if(i!==\"axrange\"&&t[i])return!1;var a,o,s=function(d,v){return xa.coerce(a,o,Qht,d,v)},l={};for(var u in r.rangesAltered){var c=Nv.id2name(u);if(a=e.layout[c],o=n[c],$ht(a,o,s,l),o._matchGroup){for(var f in o._matchGroup)if(f!==u){var h=n[Nv.id2name(f)];h.autorange=o.autorange,h.range=o.range.slice(),h._input.range=o.range.slice()}}}return!0}function NP(e,t){var r=t?function(n){var i=[],a=!0;for(var o in t){var s=Nv.getFromId(n,o);if(i.push(o),(s.ticklabelposition||\"\").indexOf(\"inside\")!==-1&&s._anchorAxis&&i.push(s._anchorAxis._id),s._matchGroup)for(var l in s._matchGroup)t[l]||i.push(l)}return Nv.draw(n,i,{skipTitle:a})}:function(n){return Nv.draw(n,\"redraw\")};e.push(idt,Au.doAutoRangeAndConstraints,r,Au.drawData,Au.finalDraw)}var ede=/^[xyz]axis[0-9]*\\.range(\\[[0|1]\\])?$/,tde=/^[xyz]axis[0-9]*\\.autorange$/,vdt=/^[xyz]axis[0-9]*\\.domain(\\[[0|1]\\])?$/;function rde(e,t){var r=e.layout,n=e._fullLayout,i=n._guiEditing,a=PP(n._preGUI,i),o=Object.keys(t),s=Nv.list(e),l=xa.extendDeepAll({},t),u={},c,f,h;for(o=Object.keys(t),f=0;f<o.length;f++)if(o[f].indexOf(\"allaxes\")===0){for(h=0;h<s.length;h++){var d=s[h]._id.substr(1),v=d.indexOf(\"scene\")!==-1?d+\".\":\"\",x=o[f].replace(\"allaxes\",v+s[h]._name);t[x]||(t[x]=t[o[f]])}delete t[o[f]]}var b=p_.layoutFlags(),p={},C={};function E(pt,Wt){if(Array.isArray(pt)){pt.forEach(function(lt){E(lt,Wt)});return}if(!(pt in t||Ih.hasParent(t,pt))){var st=a(r,pt);pt in C||(C[pt]=ky(st.get())),Wt!==void 0&&st.set(Wt)}}var A={},L;function _(pt){var Wt=Nv.name2id(pt.split(\".\")[0]);return A[Wt]=1,Wt}for(var k in t){if(Ih.hasParent(t,k))throw new Error(\"cannot set \"+k+\" and a parent attribute simultaneously\");for(var M=a(r,k),g=t[k],P=M.parts.length,T=P-1;T>0&&typeof M.parts[T]!=\"string\";)T--;var z=M.parts[T],O=M.parts[T-1]+\".\"+z,V=M.parts.slice(0,T).join(\".\"),G=Ec(e.layout,V).get(),Z=Ec(n,V).get(),H=M.get();if(g!==void 0){p[k]=g,C[k]=z===\"reverse\"?g:ky(H);var N=BP.getLayoutValObject(n,M.parts);if(N&&N.impliedEdits&&g!==null)for(var j in N.impliedEdits)E(xa.relativeAttr(k,j),N.impliedEdits[j]);if([\"width\",\"height\"].indexOf(k)!==-1)if(g){E(\"autosize\",null);var re=k===\"height\"?\"width\":\"height\";E(re,n[re])}else n[k]=e._initialAutoSize[k];else if(k===\"autosize\")E(\"width\",g?null:n.width),E(\"height\",g?null:n.height);else if(O.match(ede))_(O),Ec(n,V+\"._inputRange\").set(null);else if(O.match(tde)){_(O),Ec(n,V+\"._inputRange\").set(null);var oe=Ec(n,V).get();oe._inputDomain&&(oe._input.domain=oe._inputDomain.slice())}else O.match(vdt)&&Ec(n,V+\"._inputDomain\").set(null);if(z===\"type\"){L=G;var _e=Z.type===\"linear\"&&g===\"log\",Me=Z.type===\"log\"&&g===\"linear\";if(_e||Me){if(!L||!L.range)E(V+\".autorange\",!0);else 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Le=LP.containerArrayMatch(k);if(Le){c=Le.array,f=Le.index;var Ae=Le.property,De=N||{editType:\"calc\"};f!==\"\"&&Ae===\"\"&&(LP.isAddVal(g)?C[k]=null:LP.isRemoveVal(g)?C[k]=(Ec(r,c).get()||[])[f]:xa.warn(\"unrecognized full object value\",t)),p_.update(b,De),u[c]||(u[c]={});var Pe=u[c][f];Pe||(Pe=u[c][f]={}),Pe[Ae]=g,delete t[k]}else z===\"reverse\"?(G.range?G.range.reverse():(E(V+\".autorange\",!0),G.range=[1,0]),Z.autorange?b.calc=!0:b.plot=!0):(k===\"dragmode\"&&(g===!1&&H!==!1||g!==!1&&H===!1)||n._has(\"scatter-like\")&&n._has(\"regl\")&&k===\"dragmode\"&&(g===\"lasso\"||g===\"select\")&&!(H===\"lasso\"||H===\"select\")?b.plot=!0:N?p_.update(b,N):b.calc=!0,M.set(g))}}for(c in u){var ge=LP.applyContainerArrayChanges(e,a(r,c),u[c],b,a);ge||(b.plot=!0)}for(var Fe in A){L=Nv.getFromId(e,Fe);var ce=L&&L._constraintGroup;if(ce){b.calc=!0;for(var Ze in ce)A[Ze]||(Nv.getFromId(e,Ze)._constraintShrinkable=!0)}}(ide(e)||t.height||t.width)&&(b.plot=!0);var ct=n.shapes;for(f=0;f<ct.length;f++)if(ct[f].showlegend){b.calc=!0;break}return(b.plot||b.calc)&&(b.layoutReplot=!0),{flags:b,rangesAltered:A,undoit:C,redoit:p,eventData:l}}function ide(e){var t=e._fullLayout,r=t.width,n=t.height;return e.layout.autosize&&es.plotAutoSize(e,e.layout,t),t.width!==r||t.height!==n}function OP(e,t,r,n){e=xa.getGraphDiv(e),Ih.clearPromiseQueue(e),xa.isPlainObject(t)||(t={}),xa.isPlainObject(r)||(r={}),Object.keys(t).length&&(e.changed=!0),Object.keys(r).length&&(e.changed=!0);var i=Ih.coerceTraceIndices(e,n),a=$he(e,xa.extendFlat({},t),i),o=a.flags,s=rde(e,xa.extendFlat({},r)),l=s.flags;(o.calc||l.calc)&&(e.calcdata=void 0),o.clearAxisTypes&&Ih.clearAxisTypes(e,i,r);var u=[];l.layoutReplot?u.push(Au.layoutReplot):o.fullReplot?u.push(Gl._doPlot):(u.push(es.previousPromises),Qhe(e,l,s)||es.supplyDefaults(e),o.style&&u.push(Au.doTraceStyle),(o.colorbars||l.colorbars)&&u.push(Au.doColorBars),l.legend&&u.push(Au.doLegend),l.layoutstyle&&u.push(Au.layoutStyles),l.axrange&&NP(u,s.rangesAltered),l.ticks&&u.push(Au.doTicksRelayout),l.modebar&&u.push(Au.doModeBar),l.camera&&u.push(Au.doCamera),u.push(GM)),u.push(es.rehover,es.redrag,es.reselect),np.add(e,OP,[e,a.undoit,s.undoit,a.traces],OP,[e,a.redoit,s.redoit,a.traces]);var c=xa.syncOrAsync(u,e);return(!c||!c.then)&&(c=Promise.resolve(e)),c.then(function(){return e.emit(\"plotly_update\",{data:a.eventData,layout:s.eventData}),e})}function XN(e){return function(r){r._fullLayout._guiEditing=!0;var n=e.apply(null,arguments);return r._fullLayout._guiEditing=!1,n}}var pdt=[{pattern:/^hiddenlabels/,attr:\"legend.uirevision\"},{pattern:/^((x|y)axis\\d*)\\.((auto)?range|title\\.text)/},{pattern:/axis\\d*\\.showspikes$/,attr:\"modebar.uirevision\"},{pattern:/(hover|drag)mode$/,attr:\"modebar.uirevision\"},{pattern:/^(scene\\d*)\\.camera/},{pattern:/^(geo\\d*)\\.(projection|center|fitbounds)/},{pattern:/^(ternary\\d*\\.[abc]axis)\\.(min|title\\.text)$/},{pattern:/^(polar\\d*\\.radialaxis)\\.((auto)?range|angle|title\\.text)/},{pattern:/^(polar\\d*\\.angularaxis)\\.rotation/},{pattern:/^(mapbox\\d*)\\.(center|zoom|bearing|pitch)/},{pattern:/^(map\\d*)\\.(center|zoom|bearing|pitch)/},{pattern:/^legend\\.(x|y)$/,attr:\"editrevision\"},{pattern:/^(shapes|annotations)/,attr:\"editrevision\"},{pattern:/^title\\.text$/,attr:\"editrevision\"}],gdt=[{pattern:/^selectedpoints$/,attr:\"selectionrevision\"},{pattern:/(^|value\\.)visible$/,attr:\"legend.uirevision\"},{pattern:/^dimensions\\[\\d+\\]\\.constraintrange/},{pattern:/^node\\.(x|y|groups)/},{pattern:/^level$/},{pattern:/(^|value\\.)name$/},{pattern:/colorbar\\.title\\.text$/},{pattern:/colorbar\\.(x|y)$/,attr:\"editrevision\"}];function Bhe(e,t){for(var r=0;r<t.length;r++){var n=t[r],i=e.match(n.pattern);if(i){var a=i[1]||\"\";return{head:a,tail:e.substr(a.length+1),attr:n.attr}}}}function Nhe(e,t){var r=Ec(t,e).get();if(r!==void 0)return r;var n=e.split(\".\");for(n.pop();n.length>1;)if(n.pop(),r=Ec(t,n.join(\".\")+\".uirevision\").get(),r!==void 0)return r;return t.uirevision}function mdt(e,t){for(var r=0;r<t.length;r++)if(t[r]._fullInput.uid===e)return r;return-1}function ydt(e,t,r){for(var n=0;n<t.length;n++)if(t[n].uid===e)return n;return!t[r]||t[r].uid?-1:r}function Uhe(e,t){var r=xa.isPlainObject(e),n=Array.isArray(e);return r||n?(r&&xa.isPlainObject(t)||n&&Array.isArray(t))&&JSON.stringify(e)===JSON.stringify(t):e===t}function _dt(e,t,r,n){var i=n._preGUI,a,o,s,l,u,c,f,h,d,v,x=[],b={},p={};for(a in i){if(u=Bhe(a,pdt),u){if(d=u.head,v=u.tail,o=u.attr||d+\".uirevision\",s=Ec(n,o).get(),l=s&&Nhe(o,t),l&&l===s){if(c=i[a],c===null&&(c=void 0),f=Ec(t,a),h=f.get(),Uhe(h,c)){h===void 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\"+e.traceType+\".\";break;case\"unused\":e.path?t=\"The template item at \"+e.path+\" was not used in constructing the plot.\":e.dataCount?t=\"Some of the templates of type \"+e.traceType+\" were not used. The template has \"+e.templateCount+\" traces, the data only has \"+e.dataCount+\" of this type.\":t=\"The template has \"+e.templateCount+\" traces of type \"+e.traceType+\" but there are none in the data.\";break;case\"reused\":t=\"Some of the templates of type \"+e.traceType+\" were used more than once. The template has \"+e.templateCount+\" traces, the data has \"+e.dataCount+\" of this type.\";break}return e.msg=t,e}});var Tde=ye(ef=>{\"use strict\";var Qh=UP();ef._doPlot=Qh._doPlot;ef.newPlot=Qh.newPlot;ef.restyle=Qh.restyle;ef.relayout=Qh.relayout;ef.redraw=Qh.redraw;ef.update=Qh.update;ef._guiRestyle=Qh._guiRestyle;ef._guiRelayout=Qh._guiRelayout;ef._guiUpdate=Qh._guiUpdate;ef._storeDirectGUIEdit=Qh._storeDirectGUIEdit;ef.react=Qh.react;ef.extendTraces=Qh.extendTraces;ef.prependTraces=Qh.prependTraces;ef.addTraces=Qh.addTraces;ef.deleteTraces=Qh.deleteTraces;ef.moveTraces=Qh.moveTraces;ef.purge=Qh.purge;ef.addFrames=Qh.addFrames;ef.deleteFrames=Qh.deleteFrames;ef.animate=Qh.animate;ef.setPlotConfig=Qh.setPlotConfig;var uvt=OS().getGraphDiv,cvt=aP().eraseActiveShape;ef.deleteActiveShape=function(e){return cvt(uvt(e))};ef.toImage=JN();ef.validate=hde();ef.downloadImage=QN();var wde=bde();ef.makeTemplate=wde.makeTemplate;ef.validateTemplate=wde.validateTemplate});var K3=ye((Oar,Ade)=>{\"use strict\";var tU=Dr(),fvt=qa();Ade.exports=function(t,r,n,i){var a=i(\"x\"),o=i(\"y\"),s,l=fvt.getComponentMethod(\"calendars\",\"handleTraceDefaults\");if(l(t,r,[\"x\",\"y\"],n),a){var u=tU.minRowLength(a);o?s=Math.min(u,tU.minRowLength(o)):(s=u,i(\"y0\"),i(\"dy\"))}else{if(!o)return 0;s=tU.minRowLength(o),i(\"x0\"),i(\"dx\")}return r._length=s,s}});var Pg=ye((qar,Ede)=>{\"use strict\";var Sde=Dr().dateTick0,hvt=hs(),dvt=hvt.ONEWEEK;function Mde(e,t){return e%dvt===0?Sde(t,1):Sde(t,0)}Ede.exports=function(t,r,n,i,a){if(a||(a={x:!0,y:!0}),a.x){var o=i(\"xperiod\");o&&(i(\"xperiod0\",Mde(o,r.xcalendar)),i(\"xperiodalignment\"))}if(a.y){var s=i(\"yperiod\");s&&(i(\"yperiod0\",Mde(s,r.ycalendar)),i(\"yperiodalignment\"))}}});var Lde=ye((Bar,kde)=>{\"use strict\";var Cde=[\"orientation\",\"groupnorm\",\"stackgaps\"];kde.exports=function(t,r,n,i){var a=n._scatterStackOpts,o=i(\"stackgroup\");if(o){var s=r.xaxis+r.yaxis,l=a[s];l||(l=a[s]={});var u=l[o],c=!1;u?u.traces.push(r):(u=l[o]={traceIndices:[],traces:[r]},c=!0);for(var f={orientation:r.x&&!r.y?\"h\":\"v\"},h=0;h<Cde.length;h++){var d=Cde[h],v=d+\"Found\";if(!u[v]){var x=t[d]!==void 0,b=d===\"orientation\";if((x||c)&&(u[d]=i(d,f[d]),b&&(u.fillDflt=u[d]===\"h\"?\"tonextx\":\"tonexty\"),x&&(u[v]=!0,!c&&(delete u.traces[0][d],b))))for(var p=0;p<u.traces.length-1;p++){var C=u.traces[p];C._input.fill!==C.fill&&(C.fill=u.fillDflt)}}}return u}}});var $p=ye((Nar,Dde)=>{\"use strict\";var Pde=Ca(),Ide=Dv().hasColorscale,Rde=Jh(),vvt=Ru();Dde.exports=function(t,r,n,i,a,o){var s=vvt.isBubble(t),l=(t.line||{}).color,u;if(o=o||{},l&&(n=l),a(\"marker.symbol\"),a(\"marker.opacity\",s?.7:1),a(\"marker.size\"),o.noAngle||(a(\"marker.angle\"),o.noAngleRef||a(\"marker.angleref\"),o.noStandOff||a(\"marker.standoff\")),a(\"marker.color\",n),Ide(t,\"marker\")&&Rde(t,r,i,a,{prefix:\"marker.\",cLetter:\"c\"}),o.noSelect||(a(\"selected.marker.color\"),a(\"unselected.marker.color\"),a(\"selected.marker.size\"),a(\"unselected.marker.size\")),o.noLine||(l&&!Array.isArray(l)&&r.marker.color!==l?u=l:s?u=Pde.background:u=Pde.defaultLine,a(\"marker.line.color\",u),Ide(t,\"marker.line\")&&Rde(t,r,i,a,{prefix:\"marker.line.\",cLetter:\"c\"}),a(\"marker.line.width\",s?1:0)),s&&(a(\"marker.sizeref\"),a(\"marker.sizemin\"),a(\"marker.sizemode\")),o.gradient){var c=a(\"marker.gradient.type\");c!==\"none\"&&a(\"marker.gradient.color\")}}});var R0=ye((Uar,Fde)=>{\"use strict\";var pvt=Dr().isArrayOrTypedArray,gvt=Dv().hasColorscale,mvt=Jh();Fde.exports=function(t,r,n,i,a,o){o||(o={});var s=(t.marker||{}).color;if(s&&s._inputArray&&(s=s._inputArray),a(\"line.color\",n),gvt(t,\"line\"))mvt(t,r,i,a,{prefix:\"line.\",cLetter:\"c\"});else{var l=(pvt(s)?!1:s)||n;a(\"line.color\",l)}a(\"line.width\"),o.noDash||a(\"line.dash\"),o.backoff&&a(\"line.backoff\")}});var J3=ye((Var,zde)=>{\"use strict\";zde.exports=function(t,r,n){var i=n(\"line.shape\");i===\"spline\"&&n(\"line.smoothing\")}});var D0=ye((Gar,Ode)=>{\"use strict\";var yvt=Dr();Ode.exports=function(e,t,r,n,i){i=i||{},n(\"textposition\"),yvt.coerceFont(n,\"textfont\",i.font||r.font,i),i.noSelect||(n(\"selected.textfont.color\"),n(\"unselected.textfont.color\"))}});var Ig=ye((Har,Bde)=>{\"use strict\";var ZP=Ca(),qde=Dr().isArrayOrTypedArray;function _vt(e){for(var t=ZP.interpolate(e[0][1],e[1][1],.5),r=2;r<e.length;r++){var n=ZP.interpolate(e[r-1][1],e[r][1],.5);t=ZP.interpolate(t,n,e[r-1][0]/e[r][0])}return t}Bde.exports=function(t,r,n,i,a){a||(a={});var o=!1;if(r.marker){var s=r.marker.color,l=(r.marker.line||{}).color;s&&!qde(s)?o=s:l&&!qde(l)&&(o=l)}var u;if(a.moduleHasFillgradient){var c=i(\"fillgradient.type\");if(c!==\"none\"){i(\"fillgradient.start\"),i(\"fillgradient.stop\");var f=i(\"fillgradient.colorscale\");f&&(u=_vt(f))}}i(\"fillcolor\",ZP.addOpacity((r.line||{}).color||o||u||n,.5))}});var Gde=ye((jar,Vde)=>{\"use strict\";var Nde=Dr(),xvt=qa(),bvt=pf(),wvt=Sm(),$3=Ru(),Tvt=K3(),Avt=Pg(),Svt=Lde(),Mvt=$p(),Evt=R0(),Ude=J3(),Cvt=D0(),kvt=Ig(),Lvt=Dr().coercePattern;Vde.exports=function(t,r,n,i){function a(d,v){return Nde.coerce(t,r,bvt,d,v)}var o=Tvt(t,r,i,a);if(o||(r.visible=!1),!!r.visible){Avt(t,r,i,a),a(\"xhoverformat\"),a(\"yhoverformat\"),a(\"zorder\");var s=Svt(t,r,i,a);i.scattermode===\"group\"&&r.orientation===void 0&&a(\"orientation\",\"v\");var l=!s&&o<wvt.PTS_LINESONLY?\"lines+markers\":\"lines\";a(\"text\"),a(\"hovertext\"),a(\"mode\",l),$3.hasMarkers(r)&&Mvt(t,r,n,i,a,{gradient:!0}),$3.hasLines(r)&&(Evt(t,r,n,i,a,{backoff:!0}),Ude(t,r,a),a(\"connectgaps\"),a(\"line.simplify\")),$3.hasText(r)&&(a(\"texttemplate\"),Cvt(t,r,i,a));var u=[];($3.hasMarkers(r)||$3.hasText(r))&&(a(\"cliponaxis\"),a(\"marker.maxdisplayed\"),u.push(\"points\")),a(\"fill\",s?s.fillDflt:\"none\"),r.fill!==\"none\"&&(kvt(t,r,n,a,{moduleHasFillgradient:!0}),$3.hasLines(r)||Ude(t,r,a),Lvt(a,\"fillpattern\",r.fillcolor,!1));var c=(r.line||{}).color,f=(r.marker||{}).color;(r.fill===\"tonext\"||r.fill===\"toself\")&&u.push(\"fills\"),a(\"hoveron\",u.join(\"+\")||\"points\"),r.hoveron!==\"fills\"&&a(\"hovertemplate\");var h=xvt.getComponentMethod(\"errorbars\",\"supplyDefaults\");h(t,r,c||f||n,{axis:\"y\"}),h(t,r,c||f||n,{axis:\"x\",inherit:\"y\"}),Nde.coerceSelectionMarkerOpacity(r,a)}}});var Gb=ye((War,Hde)=>{\"use strict\";var Pvt=Bb().getAxisGroup;Hde.exports=function(t,r,n,i,a){var o=r.orientation,s=r[{v:\"x\",h:\"y\"}[o]+\"axis\"],l=Pvt(n,s)+o,u=n._alignmentOpts||{},c=i(\"alignmentgroup\"),f=u[l];f||(f=u[l]={});var h=f[c];h?h.traces.push(r):h=f[c]={traces:[r],alignmentIndex:Object.keys(f).length,offsetGroups:{}};var d=i(\"offsetgroup\")||\"\",v=h.offsetGroups,x=v[d];r._offsetIndex=0,(a!==\"group\"||d)&&(x||(x=v[d]={offsetIndex:Object.keys(v).length}),r._offsetIndex=x.offsetIndex)}});var rU=ye((Xar,jde)=>{\"use strict\";var Ivt=Dr(),Rvt=Gb(),Dvt=pf();jde.exports=function(t,r){var n,i,a,o=r.scattermode;function s(h){return Ivt.coerce(i._input,i,Dvt,h)}if(r.scattermode===\"group\")for(a=0;a<t.length;a++)i=t[a],i.type===\"scatter\"&&(n=i._input,Rvt(n,i,r,s,o));for(a=0;a<t.length;a++){var l=t[a];if(l.type===\"scatter\"){var u=l.fill;if(!(u===\"none\"||u===\"toself\")&&(l.opacity=void 0,u===\"tonexty\"||u===\"tonextx\"))for(var c=a-1;c>=0;c--){var f=t[c];if(f.type===\"scatter\"&&f.xaxis===l.xaxis&&f.yaxis===l.yaxis){f.opacity=void 0;break}}}}}});var Xde=ye((Zar,Wde)=>{\"use strict\";var Fvt=Dr(),zvt=j6();Wde.exports=function(e,t){function r(i,a){return Fvt.coerce(e,t,zvt,i,a)}var n=t.barmode===\"group\";t.scattermode===\"group\"&&r(\"scattergap\",n?t.bargap:.2)}});var Rg=ye((Yar,Yde)=>{\"use strict\";var Ovt=Eo(),Zde=Dr(),qvt=Zde.dateTime2ms,YP=Zde.incrementMonth,Bvt=hs(),Nvt=Bvt.ONEAVGMONTH;Yde.exports=function(t,r,n,i){if(r.type!==\"date\")return{vals:i};var a=t[n+\"periodalignment\"];if(!a)return{vals:i};var o=t[n+\"period\"],s;if(Ovt(o)){if(o=+o,o<=0)return{vals:i}}else if(typeof o==\"string\"&&o.charAt(0)===\"M\"){var l=+o.substring(1);if(l>0&&Math.round(l)===l)s=l;else return{vals:i}}for(var u=r.calendar,c=a===\"start\",f=a===\"end\",h=t[n+\"period0\"],d=qvt(h,u)||0,v=[],x=[],b=[],p=i.length,C=0;C<p;C++){var E=i[C],A,L,_;if(s){for(A=Math.round((E-d)/(s*Nvt)),_=YP(d,s*A,u);_>E;)_=YP(_,-s,u);for(;_<=E;)_=YP(_,s,u);L=YP(_,-s,u)}else{for(A=Math.round((E-d)/o),_=d+A*o;_>E;)_-=o;for(;_<=E;)_+=o;L=_-o}v[C]=c?L:f?_:(L+_)/2,x[C]=L,b[C]=_}return{vals:v,starts:x,ends:b}}});var F0=ye((Kar,Jde)=>{\"use strict\";var iU=Dv().hasColorscale,nU=Fv(),Kde=Ru();Jde.exports=function(t,r){Kde.hasLines(r)&&iU(r,\"line\")&&nU(t,r,{vals:r.line.color,containerStr:\"line\",cLetter:\"c\"}),Kde.hasMarkers(r)&&(iU(r,\"marker\")&&nU(t,r,{vals:r.marker.color,containerStr:\"marker\",cLetter:\"c\"}),iU(r,\"marker.line\")&&nU(t,r,{vals:r.marker.line.color,containerStr:\"marker.line\",cLetter:\"c\"}))}});var Cm=ye((Jar,$de)=>{\"use strict\";var Yf=Dr();$de.exports=function(t,r){for(var n=0;n<t.length;n++)t[n].i=n;Yf.mergeArray(r.text,t,\"tx\"),Yf.mergeArray(r.texttemplate,t,\"txt\"),Yf.mergeArray(r.hovertext,t,\"htx\"),Yf.mergeArray(r.customdata,t,\"data\"),Yf.mergeArray(r.textposition,t,\"tp\"),r.textfont&&(Yf.mergeArrayCastPositive(r.textfont.size,t,\"ts\"),Yf.mergeArray(r.textfont.color,t,\"tc\"),Yf.mergeArray(r.textfont.family,t,\"tf\"),Yf.mergeArray(r.textfont.weight,t,\"tw\"),Yf.mergeArray(r.textfont.style,t,\"ty\"),Yf.mergeArray(r.textfont.variant,t,\"tv\"),Yf.mergeArray(r.textfont.textcase,t,\"tC\"),Yf.mergeArray(r.textfont.lineposition,t,\"tE\"),Yf.mergeArray(r.textfont.shadow,t,\"tS\"));var i=r.marker;if(i){Yf.mergeArrayCastPositive(i.size,t,\"ms\"),Yf.mergeArrayCastPositive(i.opacity,t,\"mo\"),Yf.mergeArray(i.symbol,t,\"mx\"),Yf.mergeArray(i.angle,t,\"ma\"),Yf.mergeArray(i.standoff,t,\"mf\"),Yf.mergeArray(i.color,t,\"mc\");var a=i.line;i.line&&(Yf.mergeArray(a.color,t,\"mlc\"),Yf.mergeArrayCastPositive(a.width,t,\"mlw\"));var o=i.gradient;o&&o.type!==\"none\"&&(Yf.mergeArray(o.type,t,\"mgt\"),Yf.mergeArray(o.color,t,\"mgc\"))}}});var z0=ye(($ar,eve)=>{\"use strict\";var Qde=Dr();eve.exports=function(t,r){Qde.isArrayOrTypedArray(r.selectedpoints)&&Qde.tagSelected(t,r)}});var O0=ye((Qar,sve)=>{\"use strict\";var tve=Eo(),oU=Dr(),ZM=ho(),rve=Rg(),aU=hs().BADNUM,sU=Ru(),Uvt=F0(),Vvt=Cm(),Gvt=z0();function Hvt(e,t){var r=e._fullLayout,n=t._xA=ZM.getFromId(e,t.xaxis||\"x\",\"x\"),i=t._yA=ZM.getFromId(e,t.yaxis||\"y\",\"y\"),a=n.makeCalcdata(t,\"x\"),o=i.makeCalcdata(t,\"y\"),s=rve(t,n,\"x\",a),l=rve(t,i,\"y\",o),u=s.vals,c=l.vals,f=t._length,h=new Array(f),d=t.ids,v=lU(t,r,n,i),x=!1,b,p,C,E,A,L;ave(r,t);var _=\"x\",k=\"y\",M;if(v)oU.pushUnique(v.traceIndices,t.index),b=v.orientation===\"v\",b?(k=\"s\",M=\"x\"):(_=\"s\",M=\"y\"),A=v.stackgaps===\"interpolate\";else{var g=nve(t,f);ive(e,t,n,i,u,c,g)}var P=!!t.xperiodalignment,T=!!t.yperiodalignment;for(p=0;p<f;p++){var z=h[p]={},O=tve(u[p]),V=tve(c[p]);O&&V?(z[_]=u[p],z[k]=c[p],P&&(z.orig_x=a[p],z.xEnd=s.ends[p],z.xStart=s.starts[p]),T&&(z.orig_y=o[p],z.yEnd=l.ends[p],z.yStart=l.starts[p])):v&&(b?O:V)?(z[M]=b?u[p]:c[p],z.gap=!0,A?(z.s=aU,x=!0):z.s=0):z[_]=z[k]=aU,d&&(z.id=String(d[p]))}if(Vvt(h,t),Uvt(e,t),Gvt(h,t),v){for(p=0;p<h.length;)h[p][M]===aU?h.splice(p,1):p++;if(oU.sort(h,function(N,j){return N[M]-j[M]||N.i-j.i}),x){for(p=0;p<h.length-1&&h[p].gap;)p++;for(L=h[p].s,L||(L=h[p].s=0),C=0;C<p;C++)h[C].s=L;for(E=h.length-1;E>p&&h[E].gap;)E--;for(L=h[E].s,C=h.length-1;C>E;C--)h[C].s=L;for(;p<E;)if(p++,h[p].gap){for(C=p+1;h[C].gap;)C++;for(var G=h[p-1][M],Z=h[p-1].s,H=(h[C].s-Z)/(h[C][M]-G);p<C;)h[p].s=Z+(h[p][M]-G)*H,p++}}}return h}function ive(e,t,r,n,i,a,o){var s=t._length,l=e._fullLayout,u=r._id,c=n._id,f=l._firstScatter[ove(t)]===t.uid,h=(lU(t,l,r,n)||{}).orientation,d=t.fill;r._minDtick=0,n._minDtick=0;var v={padded:!0},x={padded:!0};o&&(v.ppad=x.ppad=o);var b=s<2||i[0]!==i[s-1]||a[0]!==a[s-1];b&&(d===\"tozerox\"||d===\"tonextx\"&&(f||h===\"h\"))?v.tozero=!0:!(t.error_y||{}).visible&&(d===\"tonexty\"||d===\"tozeroy\"||!sU.hasMarkers(t)&&!sU.hasText(t))&&(v.padded=!1,v.ppad=0),b&&(d===\"tozeroy\"||d===\"tonexty\"&&(f||h===\"v\"))?x.tozero=!0:(d===\"tonextx\"||d===\"tozerox\")&&(x.padded=!1),u&&(t._extremes[u]=ZM.findExtremes(r,i,v)),c&&(t._extremes[c]=ZM.findExtremes(n,a,x))}function nve(e,t){if(sU.hasMarkers(e)){var r=e.marker,n=1.6*(e.marker.sizeref||1),i;if(e.marker.sizemode===\"area\"?i=function(u){return Math.max(Math.sqrt((u||0)/n),3)}:i=function(u){return Math.max((u||0)/n,3)},oU.isArrayOrTypedArray(r.size)){var a={type:\"linear\"};ZM.setConvert(a);for(var o=a.makeCalcdata(e.marker,\"size\"),s=new Array(t),l=0;l<t;l++)s[l]=i(o[l]);return s}else return i(r.size)}}function ave(e,t){var r=ove(t),n=e._firstScatter;n[r]||(n[r]=t.uid)}function ove(e){var t=e.stackgroup;return e.xaxis+e.yaxis+e.type+(t?\"-\"+t:\"\")}function lU(e,t,r,n){var i=e.stackgroup;if(i){var a=t._scatterStackOpts[r._id+n._id][i],o=a.orientation===\"v\"?n:r;if(o.type===\"linear\"||o.type===\"log\")return a}}sve.exports={calc:Hvt,calcMarkerSize:nve,calcAxisExpansion:ive,setFirstScatter:ave,getStackOpts:lU}});var uve=ye((eor,lve)=>{\"use strict\";lve.exports=KP;var jvt=Dr().distinctVals;function KP(e,t){this.traces=e,this.sepNegVal=t.sepNegVal,this.overlapNoMerge=t.overlapNoMerge;for(var r=1/0,n=t.posAxis._id.charAt(0),i=[],a=0;a<e.length;a++){for(var o=e[a],s=0;s<o.length;s++){var l=o[s],u=l.p;u===void 0&&(u=l[n]),u!==void 0&&i.push(u)}o[0]&&o[0].width1&&(r=Math.min(o[0].width1,r))}this.positions=i;var c=jvt(i);this.distinctPositions=c.vals,c.vals.length===1&&r!==1/0?this.minDiff=r:this.minDiff=Math.min(c.minDiff,r);var f=(t.posAxis||{}).type;(f===\"category\"||f===\"multicategory\")&&(this.minDiff=1),this.binWidth=this.minDiff,this.bins={}}KP.prototype.put=function(t,r,n){var i=this.getLabel(t,r,n),a=this.bins[i]||0;return this.bins[i]=a+n,a};KP.prototype.get=function(t,r,n){var i=this.getLabel(t,r,n);return this.bins[i]||0};KP.prototype.getLabel=function(t,r,n){var i=n<0&&this.sepNegVal?\"v\":\"^\",a=this.overlapNoMerge?t:Math.round(t/this.binWidth);return i+a+\"g\"+r}});var Hb=ye((tor,dve)=>{\"use strict\";var q0=Eo(),g_=Dr().isArrayOrTypedArray,Q3=hs().BADNUM,Wvt=qa(),YM=ho(),Xvt=Bb().getAxisGroup,JP=uve();function Zvt(e,t){for(var r=t.xaxis,n=t.yaxis,i=e._fullLayout,a=e._fullData,o=e.calcdata,s=[],l=[],u=0;u<a.length;u++){var c=a[u];if(c.visible===!0&&Wvt.traceIs(c,\"bar\")&&c.xaxis===r._id&&c.yaxis===n._id&&(c.orientation===\"h\"?s.push(o[u]):l.push(o[u]),c._computePh))for(var f=e.calcdata[u],h=0;h<f.length;h++)typeof f[h].ph0==\"function\"&&(f[h].ph0=f[h].ph0()),typeof f[h].ph1==\"function\"&&(f[h].ph1=f[h].ph1())}var d={xCat:r.type===\"category\"||r.type===\"multicategory\",yCat:n.type===\"category\"||n.type===\"multicategory\",mode:i.barmode,norm:i.barnorm,gap:i.bargap,groupgap:i.bargroupgap};cU(e,r,n,l,d),cU(e,n,r,s,d)}function cU(e,t,r,n,i){if(n.length){var a,o,s,l,u;switch(Jvt(r,n),i.mode){case\"overlay\":uU(e,t,r,n,i);break;case\"group\":for(a=[],o=[],s=0;s<n.length;s++)l=n[s],u=l[0].trace,u.offset===void 0?o.push(l):a.push(l);o.length&&$vt(e,t,r,o,i),a.length&&uU(e,t,r,a,i);break;case\"stack\":case\"relative\":for(a=[],o=[],s=0;s<n.length;s++)l=n[s],u=l[0].trace,u.base===void 0?o.push(l):a.push(l);Kvt(o),o.length&&Qvt(e,t,r,o,i),a.length&&uU(e,t,r,a,i);break}Yvt(n),apt(n,t)}}function Yvt(e){var t,r,n,i,a,o,s;for(t=0;t<e.length;t++)r=e[t],n=r[0].trace,i=r[0].t,i.cornerradiusvalue===void 0&&(a=n.marker?n.marker.cornerradius:void 0,a!==void 0&&(o=q0(a)?+a:+a.slice(0,-1),s=q0(a)?\"px\":\"%\",i.cornerradiusvalue=o,i.cornerradiusform=s))}function Kvt(e){if(!(e.length<2)){var t,r,n,i,a,o,s;for(t=0;t<e.length&&(r=e[t],n=r[0].trace,a=n.marker?n.marker.cornerradius:void 0,a===void 0);t++);if(a!==void 0)for(o=q0(a)?+a:+a.slice(0,-1),s=q0(a)?\"px\":\"%\",t=0;t<e.length;t++)r=e[t],i=r[0].t,i.cornerradiusvalue=o,i.cornerradiusform=s}}function Jvt(e,t){var r,n;for(r=0;r<t.length;r++){var i=t[r],a=i[0].trace,o=a.type===\"funnel\"?a._base:a.base,s,l=a.orientation===\"h\"?a.xcalendar:a.ycalendar,u=e.type===\"category\"||e.type===\"multicategory\"?function(){return null}:e.d2c;if(g_(o)){for(n=0;n<Math.min(o.length,i.length);n++)s=u(o[n],0,l),q0(s)?(i[n].b=+s,i[n].hasB=1):i[n].b=0;for(;n<i.length;n++)i[n].b=0}else{s=u(o,0,l);var c=q0(s);for(s=c?s:0,n=0;n<i.length;n++)i[n].b=s,c&&(i[n].hasB=1)}}}function uU(e,t,r,n,i){for(var a=0;a<n.length;a++){var o=n[a],s=new JP([o],{posAxis:t,sepNegVal:!1,overlapNoMerge:!i.norm});fU(e,t,s,i),i.norm?(hve(s),hU(r,s,i)):fve(r,s)}}function $vt(e,t,r,n,i){var a=new JP(n,{posAxis:t,sepNegVal:!1,overlapNoMerge:!i.norm});fU(e,t,a,i),ipt(a,t),i.norm?(hve(a),hU(r,a,i)):fve(r,a)}function Qvt(e,t,r,n,i){var a=new JP(n,{posAxis:t,sepNegVal:i.mode===\"relative\",overlapNoMerge:!(i.norm||i.mode===\"stack\"||i.mode===\"relative\")});fU(e,t,a,i),rpt(r,a,i);for(var o=0;o<n.length;o++)for(var s=n[o],l=s[0].t.offsetindex,u=0;u<s.length;u++){var c=s[u];if(c.s!==Q3){var f=c.b+c.s===a.get(c.p,l,c.s);f&&(c._outmost=!0)}}i.norm&&hU(r,a,i)}function fU(e,t,r,n){var i=e._fullLayout,a=r.positions,o=r.distinctPositions,s=r.minDiff,l=r.traces,u=l.length,c=a.length!==o.length,f=s*(1-n.gap),h,d,v,x;if(t._id===\"angularaxis\")h=f,d=h*(1-(n.groupgap||0)),v=-d/2;else{var b=Xvt(i,t._id)+l[0][0].trace.orientation;x=i._alignmentOpts[b]||{}}for(var p=0;p<u;p++){var C=l[p],E=C[0].trace;if(t._id!==\"angularaxis\"){var A=x[E.alignmentgroup]||{},L=Object.keys(A.offsetGroups||{}).length;L?h=f/L:h=c?f/u:f,d=h*(1-(n.groupgap||0)),L?v=((2*E._offsetIndex+1-L)*h-d)/2:v=c?((2*p+1-u)*h-d)/2:-d/2}var _=C[0].t;_.barwidth=d,_.offsetindex=E._offsetIndex||0,_.poffset=v,_.bargroupwidth=f,_.bardelta=s}r.binWidth=l[0][0].t.barwidth/100,ept(r),tpt(t,r),t._id===\"angularaxis\"?cve(t,r):cve(t,r,c)}function ept(e){var t=e.traces,r,n;for(r=0;r<t.length;r++){var i=t[r],a=i[0],o=a.trace,s=a.t,l=o._offset||o.offset,u=s.poffset,c;if(g_(l)){for(c=Array.prototype.slice.call(l,0,i.length),n=0;n<c.length;n++)q0(c[n])||(c[n]=u);for(n=c.length;n<i.length;n++)c.push(u);s.poffset=c}else l!==void 0&&(s.poffset=l);var f=o._width||o.width,h=s.barwidth;if(g_(f)){var d=Array.prototype.slice.call(f,0,i.length);for(n=0;n<d.length;n++)q0(d[n])||(d[n]=h);for(n=d.length;n<i.length;n++)d.push(h);if(s.barwidth=d,l===void 0){for(c=[],n=0;n<i.length;n++)c.push(u+(h-d[n])/2);s.poffset=c}}else f!==void 0&&(s.barwidth=f,l===void 0&&(s.poffset=u+(h-f)/2))}}function tpt(e,t){for(var r=t.traces,n=eT(e),i=0;i<r.length;i++)for(var a=r[i],o=a[0].t,s=o.poffset,l=g_(s),u=o.barwidth,c=g_(u),f=0;f<a.length;f++){var h=a[f],d=h.w=c?u[f]:u;h.p===void 0&&(h.p=h[n],h[\"orig_\"+n]=h[n]);var v=(l?s[f]:s)+d/2;h[n]=h.p+v}}function cve(e,t,r){var n=t.traces,i=t.minDiff,a=i/2;YM.minDtick(e,t.minDiff,t.distinctPositions[0],r);for(var o=0;o<n.length;o++){var s=n[o],l=s[0],u=l.trace,c=[],f,h,d,v;for(v=0;v<s.length;v++)f=s[v],h=f.p-a,d=f.p+a,c.push(h,d);if(u.width||u.offset){var x=l.t,b=x.poffset,p=x.barwidth,C=g_(b),E=g_(p);for(v=0;v<s.length;v++){f=s[v];var A=C?b[v]:b,L=E?p[v]:p;h=f.p+A,d=h+L,c.push(h,d)}}u._extremes[e._id]=YM.findExtremes(e,c,{padded:!1})}}function fve(e,t){for(var r=t.traces,n=eT(e),i=0;i<r.length;i++){for(var a=r[i],o=a[0].trace,s=o.type===\"scatter\",l=o.orientation===\"v\",u=[],c=!1,f=0;f<a.length;f++){var h=a[f],d=s?0:h.b,v=s?l?h.y:h.x:d+h.s;h[n]=v,u.push(v),h.hasB&&u.push(d),(!h.hasB||!h.b)&&(c=!0)}o._extremes[e._id]=YM.findExtremes(e,u,{tozero:c,padded:!0})}}function rpt(e,t,r){var n=eT(e),i=t.traces,a,o,s,l,u,c,f;for(l=0;l<i.length;l++)if(a=i[l],o=a[0].trace,o.type===\"funnel\")for(f=a[0].t.offsetindex,u=0;u<a.length;u++)c=a[u],c.s!==Q3&&t.put(c.p,f,-.5*c.s);for(l=0;l<i.length;l++){a=i[l],o=a[0].trace,s=o.type===\"funnel\",f=o.type===\"barpolar\"?0:a[0].t.offsetindex;var h=[];for(u=0;u<a.length;u++)if(c=a[u],c.s!==Q3){var d;s?d=c.s:d=c.s+c.b;var v=t.put(c.p,f,d),x=v+d;c.b=v,c[n]=x,r.norm||(h.push(x),c.hasB&&h.push(v))}r.norm||(o._extremes[e._id]=YM.findExtremes(e,h,{tozero:!0,padded:!0}))}}function hve(e){for(var t=e.traces,r=0;r<t.length;r++)for(var n=t[r],i=n[0].t.offsetindex,a=0;a<n.length;a++){var o=n[a];o.s!==Q3&&e.put(o.p,i,o.b+o.s)}}function ipt(e,t){for(var r=e.traces,n=0;n<r.length;n++){var i=r[n],a=i[0].trace,o=i[0].t.offsetindex;if(a.base===void 0)for(var s=new JP([i],{posAxis:t,sepNegVal:!0,overlapNoMerge:!0}),l=0;l<i.length;l++){var u=i[l];if(u.p!==Q3){var c=s.put(u.p,o,u.b+u.s);c&&(u.b=c)}}}}function hU(e,t,r){var n=t.traces,i=eT(e),a=r.norm===\"fraction\"?1:100,o=a/1e9,s=e.l2c(e.c2l(0)),l=r.mode===\"stack\"?a:s;function u(_){return q0(e.c2l(_))&&(_<s-o||_>l+o||!q0(s))}for(var c=0;c<n.length;c++){for(var f=n[c],h=f[0].t.offsetindex,d=f[0].trace,v=[],x=!1,b=!1,p=0;p<f.length;p++){var C=f[p];if(C.s!==Q3){var E=Math.abs(a/t.get(C.p,h,C.s));C.b*=E,C.s*=E;var A=C.b,L=A+C.s;C[i]=L,v.push(L),b=b||u(L),C.hasB&&(v.push(A),b=b||u(A)),(!C.hasB||!C.b)&&(x=!0)}}d._extremes[e._id]=YM.findExtremes(e,v,{tozero:x,padded:b})}}function npt(e,t,r,n){for(var i=eT(n),a=0;a<e.length;a++)for(var o=e[a],s=0;s<o.length;s++){var l=o[s],u=l[i];l._sMin=t[u],l._sMax=r[u]}}function apt(e,t){var r=eT(t),n={},i,a,o,s=1/0,l=-1/0;for(i=0;i<e.length;i++)for(o=e[i],a=0;a<o.length;a++){var u=o[a].p;q0(u)&&(s=Math.min(s,u),l=Math.max(l,u))}var c=1e4/(l-s),f=n.round=function(M){return String(Math.round(c*(M-s)))},h={},d={},v=e.some(function(M){var g=M[0].trace;return\"marker\"in g&&g.marker.cornerradius});for(i=0;i<e.length;i++){o=e[i],o[0].t.extents=n;var x=o[0].t.poffset,b=g_(x);for(a=0;a<o.length;a++){var p=o[a],C=p[r]-p.w/2;if(q0(C)){var E=p[r]+p.w/2,A=f(p.p);n[A]?n[A]=[Math.min(C,n[A][0]),Math.max(E,n[A][1])]:n[A]=[C,E]}if(p.p0=p.p+(b?x[a]:x),p.p1=p.p0+p.w,p.s0=p.b,p.s1=p.s0+p.s,v){var L=Math.min(p.s0,p.s1)||0,_=Math.max(p.s0,p.s1)||0,k=p[r];h[k]=k in h?Math.min(h[k],L):L,d[k]=k in d?Math.max(d[k],_):_}}}v&&npt(e,h,d,t)}function eT(e){return e._id.charAt(0)}dve.exports={crossTraceCalc:Zvt,setGroupPositions:cU}});var mve=ye((ror,gve)=>{\"use strict\";var vve=O0(),pve=Hb().setGroupPositions;function opt(e,t){for(var r=t.xaxis,n=t.yaxis,i=e._fullLayout,a=e._fullData,o=e.calcdata,s=[],l=[],u=0;u<a.length;u++){var c=a[u];c.visible===!0&&c.type===\"scatter\"&&c.xaxis===r._id&&c.yaxis===n._id&&(c.orientation===\"h\"?s.push(o[u]):c.orientation===\"v\"&&l.push(o[u]))}var f={mode:i.scattermode,gap:i.scattergap};pve(e,r,n,l,f),pve(e,n,r,s,f)}gve.exports=function(t,r){t._fullLayout.scattermode===\"group\"&&opt(t,r);var n=r.xaxis,i=r.yaxis,a=n._id+i._id,o=t._fullLayout._scatterStackOpts[a];if(o){var s=t.calcdata,l,u,c,f,h,d,v,x,b,p,C,E,A,L,_;for(var k in o){p=o[k];var M=p.traceIndices;if(M.length){for(C=p.stackgaps===\"interpolate\",E=p.groupnorm,p.orientation===\"v\"?(A=\"x\",L=\"y\"):(A=\"y\",L=\"x\"),_=new Array(M.length),l=0;l<_.length;l++)_[l]=!1;d=s[M[0]];var g=new Array(d.length);for(l=0;l<d.length;l++)g[l]=d[l][A];for(l=1;l<M.length;l++){for(h=s[M[l]],u=c=0;u<h.length;u++){for(v=h[u][A];v>g[c]&&c<g.length;c++)dU(h,u,g[c],l,_,C,A),u++;if(v!==g[c]){for(f=0;f<l;f++)dU(s[M[f]],c,v,f,_,C,A);g.splice(c,0,v)}c++}for(;c<g.length;c++)dU(h,u,g[c],l,_,C,A),u++}var P=g.length;for(u=0;u<d.length;u++){for(x=d[u][L]=d[u].s,l=1;l<M.length;l++)h=s[M[l]],h[0].trace._rawLength=h[0].trace._length,h[0].trace._length=P,x+=h[u].s,h[u][L]=x;if(E)for(b=(E===\"fraction\"?x:x/100)||1,l=0;l<M.length;l++){var T=s[M[l]][u];T[L]/=b,T.sNorm=T.s/b}}for(l=0;l<M.length;l++){h=s[M[l]];var z=h[0].trace,O=vve.calcMarkerSize(z,z._rawLength),V=Array.isArray(O);if(O&&_[l]||V){var G=O;for(O=new Array(P),u=0;u<P;u++)O[u]=h[u].gap?0:V?G[h[u].i]:G}var Z=new Array(P),H=new Array(P);for(u=0;u<P;u++)Z[u]=h[u].x,H[u]=h[u].y;vve.calcAxisExpansion(t,z,n,i,Z,H,O),h[0].t.orientation=p.orientation}}}}};function dU(e,t,r,n,i,a,o){i[n]=!0;var s={i:null,gap:!0,s:0};if(s[o]=r,e.splice(t,0,s),t&&r===e[t-1][o]){var l=e[t-1];s.s=l.s,s.i=l.i,s.gap=l.gap}else a&&(s.s=spt(e,t,r,o));t||(e[0].t=e[1].t,e[0].trace=e[1].trace,delete e[1].t,delete e[1].trace)}function spt(e,t,r,n){var i=e[t-1],a=e[t+1];return a?i?i.s+(a.s-i.s)*(r-i[n])/(a[n]-i[n]):a.s:i.s}});var pU=ye((ior,Tve)=>{\"use strict\";var 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re=Math.max(3,H.mrc||0),oe=1-1/re,_e=Math.abs(l.c2p(H.y)-c);return _e<re?oe*_e/re:_e-re+oe},C=function(H){var N=Math.max(d,H.mrc||0),j=s.c2p(H.x)-u,re=l.c2p(H.y)-c;return Math.max(Math.sqrt(j*j+re*re)-N,1-d/N)},E=Rve.getDistanceFunction(i,b,p,C);if(Rve.getClosest(a,E,t),t.index!==!1){var A=a[t.index],L=s.c2p(A.x,!0),_=l.c2p(A.y,!0),k=A.mrc||1;t.index=A.i;var M=a[0].t.orientation,g=M&&(A.sNorm||A.s),P=M===\"h\"?g:A.orig_x!==void 0?A.orig_x:A.x,T=M===\"v\"?g:A.orig_y!==void 0?A.orig_y:A.y;return rI.extendFlat(t,{color:xpt(o,A),x0:L-k,x1:L+k,xLabelVal:P,y0:_-k,y1:_+k,yLabelVal:T,spikeDistance:C(A),hovertemplate:o.hovertemplate}),bpt(A,o,t),_pt.getComponentMethod(\"errorbars\",\"hoverInfo\")(A,o,t),[t]}}function z(H){if(!H)return!1;var N=H.node();try{var j=new DOMPoint(f[0],f[1]);return N.isPointInFill(j)}catch(oe){var re=N.ownerSVGElement.createSVGPoint();return re.x=f[0],re.y=f[1],N.isPointInFill(re)}}function O(H){var N,j=[],re=1/0,oe=-1/0,_e=1/0,Me=-1/0,ke;for(N=0;N<H.length;N++){var me=H[N];me.contains(f)&&(j.push(me),_e=Math.min(_e,me.ymin),Me=Math.max(Me,me.ymax))}if(j.length===0)return null;_e=Math.max(_e,0),Me=Math.min(Me,l._length),ke=(_e+Me)/2;var ie,Se,Le,Ae,De,Pe,ge;for(N=0;N<j.length;N++)for(Se=j[N].pts,ie=1;ie<Se.length;ie++)Pe=Se[ie-1][1],ge=Se[ie][1],Pe>ke!=ge>=ke&&(Ae=Se[ie-1][0],De=Se[ie][0],ge-Pe&&(Le=Ae+(De-Ae)*(ke-Pe)/(ge-Pe),re=Math.min(re,Le),oe=Math.max(oe,Le)));return re=Math.max(re,0),oe=Math.min(oe,s._length),{x0:re,x1:oe,y0:ke,y1:ke}}if(h.indexOf(\"fills\")!==-1&&o._fillElement){var V=z(o._fillElement)&&!z(o._fillExclusionElement);if(V){var G=O(o._polygons);G===null&&(G={x0:f[0],x1:f[0],y0:f[1],y1:f[1]});var Z=xU.defaultLine;return xU.opacity(o.fillcolor)?Z=o.fillcolor:xU.opacity((o.line||{}).color)&&(Z=o.line.color),rI.extendFlat(t,{distance:t.maxHoverDistance,x0:G.x0,x1:G.x1,y0:G.y0,y1:G.y1,color:Z,hovertemplate:!1}),delete t.index,o.text&&!rI.isArrayOrTypedArray(o.text)?t.text=String(o.text):t.text=o.name,[t]}}}});var lT=ye((hor,zve)=>{\"use strict\";var Fve=Ru();zve.exports=function(t,r){var n=t.cd,i=t.xaxis,a=t.yaxis,o=[],s=n[0].trace,l,u,c,f,h=!Fve.hasMarkers(s)&&!Fve.hasText(s);if(h)return[];if(r===!1)for(l=0;l<n.length;l++)n[l].selected=0;else for(l=0;l<n.length;l++)u=n[l],c=i.c2p(u.x),f=a.c2p(u.y),u.i!==null&&r.contains([c,f],!1,l,t)?(o.push({pointNumber:u.i,x:i.c2d(u.x),y:a.c2d(u.y)}),u.selected=1):u.selected=0;return o}});var qve=ye((dor,Ove)=>{\"use strict\";Ove.exports={xaxis:{valType:\"subplotid\",dflt:\"x\",editType:\"calc+clearAxisTypes\"},yaxis:{valType:\"subplotid\",dflt:\"y\",editType:\"calc+clearAxisTypes\"}}});var wU=ye((vor,Uve)=>{\"use strict\";var $M=qa().traceIs,bU=L3();Uve.exports=function(t,r,n,i){n(\"autotypenumbers\",i.autotypenumbersDflt);var a=n(\"type\",(i.splomStash||{}).type);a===\"-\"&&(wpt(r,i.data),r.type===\"-\"?r.type=\"linear\":t.type=r.type)};function wpt(e,t){if(e.type===\"-\"){var r=e._id,n=r.charAt(0),i;r.indexOf(\"scene\")!==-1&&(r=n);var a=Tpt(t,r,n);if(a){if(a.type===\"histogram\"&&n==={v:\"y\",h:\"x\"}[a.orientation||\"v\"]){e.type=\"linear\";return}var o=n+\"calendar\",s=a[o],l={noMultiCategory:!$M(a,\"cartesian\")||$M(a,\"noMultiCategory\")};if(a.type===\"box\"&&a._hasPreCompStats&&n==={h:\"x\",v:\"y\"}[a.orientation||\"v\"]&&(l.noMultiCategory=!0),l.autotypenumbers=e.autotypenumbers,Nve(a,n)){var u=Bve(a),c=[];for(i=0;i<t.length;i++){var f=t[i];!$M(f,\"box-violin\")||(f[n+\"axis\"]||n)!==r||(f[u]!==void 0?c.push(f[u][0]):f.name!==void 0?c.push(f.name):c.push(\"text\"),f[o]!==s&&(s=void 0))}e.type=bU(c,s,l)}else if(a.type===\"splom\"){var h=a.dimensions,d=h[a._axesDim[r]];d.visible&&(e.type=bU(d.values,s,l))}else e.type=bU(a[n]||[a[n+\"0\"]],s,l)}}}function Tpt(e,t,r){for(var n=0;n<e.length;n++){var i=e[n];if(i.type===\"splom\"&&i._length>0&&(i[\"_\"+r+\"axes\"]||{})[t])return i;if((i[r+\"axis\"]||r)===t){if(Nve(i,r))return i;if((i[r]||[]).length||i[r+\"0\"])return i}}}function Bve(e){return{v:\"x\",h:\"y\"}[e.orientation||\"v\"]}function Nve(e,t){var r=Bve(e),n=$M(e,\"box-violin\"),i=$M(e._fullInput||{},\"candlestick\");return n&&!i&&t===r&&e[r]===void 0&&e[r+\"0\"]===void 0}});var iI=ye((por,Vve)=>{\"use strict\";var Apt=vv().isTypedArraySpec;function Spt(e,t){var r=t.dataAttr||e._id.charAt(0),n={},i,a,o;if(t.axData)i=t.axData;else for(i=[],a=0;a<t.data.length;a++){var s=t.data[a];s[r+\"axis\"]===e._id&&i.push(s)}for(a=0;a<i.length;a++){var l=i[a][r];for(o=0;o<l.length;o++){var u=l[o];u!=null&&(n[u]=1)}}return Object.keys(n)}Vve.exports=function(t,r,n,i){if(r.type===\"category\"){var a=t.categoryarray,o=Array.isArray(a)&&a.length>0||Apt(a),s;o&&(s=\"array\");var l=n(\"categoryorder\",s),u;l===\"array\"&&(u=n(\"categoryarray\")),!o&&l===\"array\"&&(l=r.categoryorder=\"trace\"),l===\"trace\"?r._initialCategories=[]:l===\"array\"?r._initialCategories=u.slice():(u=Spt(r,i).sort(),l===\"category ascending\"?r._initialCategories=u:l===\"category 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A=o(\"zerolinelayer\"),L=o(\"zerolinecolor\",a),_=o(\"zerolinewidth\"),k=n(\"zeroline\",i.showGrid||!!L||!!_);k||(delete r.zerolinelayer,delete r.zerolinecolor,delete r.zerolinewidth)}}});var t4=ye((mor,Kve)=>{\"use strict\";var jve=Eo(),Cpt=qa(),e4=Dr(),kpt=pl(),Lpt=Yd(),TU=Rd(),Wve=xb(),Xve=T3(),Ppt=t_(),Ipt=r_(),Rpt=iI(),Dpt=QM(),Fpt=gB(),Zve=ym(),nI=hd().WEEKDAY_PATTERN,zpt=hd().HOUR_PATTERN;Kve.exports=function(t,r,n,i,a){var o=i.letter,s=i.font||{},l=i.splomStash||{},u=n(\"visible\",!i.visibleDflt),c=r._template||{},f=r.type||c.type||\"-\",h;if(f===\"date\"){var d=Cpt.getComponentMethod(\"calendars\",\"handleDefaults\");d(t,r,\"calendar\",i.calendar),i.noTicklabelmode||(h=n(\"ticklabelmode\"))}!i.noTicklabelindex&&(f===\"date\"||f===\"linear\")&&n(\"ticklabelindex\");var v=\"\";(!i.noTicklabelposition||f===\"multicategory\")&&(v=e4.coerce(t,r,{ticklabelposition:{valType:\"enumerated\",dflt:\"outside\",values:h===\"period\"?[\"outside\",\"inside\"]:o===\"x\"?[\"outside\",\"inside\",\"outside left\",\"inside left\",\"outside right\",\"inside right\"]:[\"outside\",\"inside\",\"outside top\",\"inside top\",\"outside bottom\",\"inside bottom\"]}},\"ticklabelposition\")),i.noTicklabeloverflow||n(\"ticklabeloverflow\",v.indexOf(\"inside\")!==-1?\"hide past domain\":f===\"category\"||f===\"multicategory\"?\"allow\":\"hide past div\"),Zve(r,a),Fpt(t,r,n,i),Rpt(t,r,n,i),i.noHover||(f!==\"category\"&&n(\"hoverformat\"),i.noUnifiedhovertitle||n(\"unifiedhovertitle.text\"));var x=n(\"color\"),b=x!==TU.color.dflt?x:s.color,p=l.label||a._dfltTitle[o];if(Ipt(t,r,n,f,i),!u)return r;n(\"title.text\",p),e4.coerceFont(n,\"title.font\",s,{overrideDflt:{size:e4.bigFont(s.size),color:b}}),Wve(t,r,n,f);var C=i.hasMinor;if(C&&(kpt.newContainer(r,\"minor\"),Wve(t,r,n,f,{isMinor:!0})),Ppt(t,r,n,f,i),Xve(t,r,n,i),C){var E=i.isMinor;i.isMinor=!0,Xve(t,r,n,i),i.isMinor=E}Dpt(t,r,n,{dfltColor:x,bgColor:i.bgColor,showGrid:i.showGrid,hasMinor:C,attributes:TU}),C&&!r.minor.ticks&&!r.minor.showgrid&&delete r.minor,(r.showline||r.ticks)&&n(\"mirror\");var A=f===\"multicategory\";if(!i.noTickson&&(f===\"category\"||A)&&(r.ticks||r.showgrid)&&(A?(n(\"tickson\",\"boundaries\"),delete r.ticklabelposition):n(\"tickson\")),A){var L=n(\"showdividers\");L&&(n(\"dividercolor\"),n(\"dividerwidth\"))}if(f===\"date\")if(Lpt(t,r,{name:\"rangebreaks\",inclusionAttr:\"enabled\",handleItemDefaults:Opt}),!r.rangebreaks.length)delete r.rangebreaks;else{for(var _=0;_<r.rangebreaks.length;_++)if(r.rangebreaks[_].pattern===nI){r._hasDayOfWeekBreaks=!0;break}if(Zve(r,a),a._has(\"scattergl\")||a._has(\"splom\"))for(var k=0;k<i.data.length;k++){var M=i.data[k];(M.type===\"scattergl\"||M.type===\"splom\")&&(M.visible=!1,e4.warn(M.type+\" traces do not work on axes with rangebreaks. 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qpt[e.substr(0,3).toLowerCase()]}});var oI=ye((yor,Jve)=>{\"use strict\";var Bpt=Eo(),aI=Dr();Jve.exports=function(t,r,n,i){var a=i.counterAxes||[],o=i.overlayableAxes||[],s=i.letter,l=i.grid,u=i.overlayingDomain,c,f,h,d,v,x;l&&(f=l._domains[s][l._axisMap[r._id]],c=l._anchors[r._id],f&&(h=l[s+\"side\"].split(\" \")[0],d=l.domain[s][h===\"right\"||h===\"top\"?1:0])),f=f||[0,1],c=c||(Bpt(t.position)?\"free\":a[0]||\"free\"),h=h||(s===\"x\"?\"bottom\":\"left\"),d=d||0,v=0,x=!1;var b=aI.coerce(t,r,{anchor:{valType:\"enumerated\",values:[\"free\"].concat(a),dflt:c}},\"anchor\"),p=aI.coerce(t,r,{side:{valType:\"enumerated\",values:s===\"x\"?[\"bottom\",\"top\"]:[\"left\",\"right\"],dflt:h}},\"side\");if(b===\"free\"){if(s===\"y\"){var C=n(\"autoshift\");C&&(d=p===\"left\"?u[0]:u[1],x=r.automargin?r.automargin:!0,v=p===\"left\"?-3:3),n(\"shift\",v)}n(\"position\",d)}n(\"automargin\",x);var E=!1;if(o.length&&(E=aI.coerce(t,r,{overlaying:{valType:\"enumerated\",values:[!1].concat(o),dflt:!1}},\"overlaying\")),!E){var A=n(\"domain\",f);A[0]>A[1]-1/4096&&(r.domain=f),aI.noneOrAll(t.domain,r.domain,f),r.tickmode===\"sync\"&&(r.tickmode=\"auto\")}return n(\"layer\"),r}});var ope=ye((_or,ape)=>{\"use strict\";var jb=Dr(),$ve=Ca(),Npt=rp().isUnifiedHover,Upt=UB(),Qve=pl(),Vpt=s3(),epe=Rd(),Gpt=wU(),tpe=t4(),Hpt=Bb(),rpe=oI(),SU=hf(),km=SU.id2name,ipe=SU.name2id,jpt=hd().AX_ID_PATTERN,npe=qa(),sI=npe.traceIs,AU=npe.getComponentMethod;function lI(e,t,r){Array.isArray(e[t])?e[t].push(r):e[t]=[r]}ape.exports=function(t,r,n){var i=r.autotypenumbers,a={},o={},s={},l={},u={},c={},f={},h={},d={},v={},x,b;for(x=0;x<n.length;x++){var p=n[x];if(sI(p,\"cartesian\")){var C;if(p.xaxis)C=km(p.xaxis),lI(a,C,p);else if(p.xaxes)for(b=0;b<p.xaxes.length;b++)lI(a,km(p.xaxes[b]),p);var E;if(p.yaxis)E=km(p.yaxis),lI(a,E,p);else 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d=h[l];t[m_.id2name(d)]||n._infolayer.selectAll(\".g-\"+d+\"title\").remove()}}var v=n._has&&n._has(\"cartesian\"),x=t._has&&t._has(\"cartesian\");if(v&&!x)vpe(n._cartesianlayer.selectAll(\".subplot\"),n),n._defs.selectAll(\".axesclip\").remove(),delete n._axisConstraintGroups,delete n._axisMatchGroups;else if(o.cartesian)for(l=0;l<o.cartesian.length;l++){var b=o.cartesian[l];if(b.indexOf(Xb)===-1&&!a[b]){var p=\".\"+b+\",.\"+b+\"-x,.\"+b+\"-y\";n._cartesianlayer.selectAll(p).remove(),ppe(b,n)}}};yv.drawFramework=function(e){var t=e._fullLayout,r=e.calcdata,n,i={};for(n=0;n<r.length;n++){var a=r[n][0],o=a.trace,s=o.zorder||0;i[s]||(i[s]=[]),i[s].push(a)}var l=Object.keys(i).map(Number).sort(Wb.sorterAsc);l.length||(l=[0]),t._zindices=l;var u=Kpt(e),c=u.length,f=[];for(n=0;n<c;n++)f[n]=u[n].slice();for(var h=1;h<l.length;h++){var d=[];for(n=0;n<c;n++)d[n]=u[n].slice(),d[n][0]+=Xb+(h+1);f=f.concat(d)}var v=t._cartesianlayer.selectAll(\".subplot\").data(f,String);v.enter().append(\"g\").attr(\"class\",function(x){return\"subplot \"+x[0]}),v.order(),v.exit().call(vpe,t),v.each(function(x){var b=x[0],p=b.indexOf(Xb),C=p!==-1,E=C?b.slice(0,p):b,A=t._plots[b];A||(A=Wb.extendFlat({},t._plots[E]),A&&(A.id=b,t._plots[b]=A,t._subplots.cartesian.push(b))),A&&(A.plotgroup=hI.select(this),dpe(e,A),C||(A.draglayer=nu(t._draggers,\"g\",b)))})};yv.rangePlot=function(e,t,r){dpe(e,t),hpe(e,t,r),Xpt.style(e)};function Kpt(e){var t=e._fullLayout,r=t._zindices.length,n=t._subplots.cartesian,i=n.length,a,o,s,l,u,c,f=[],h=[];for(a=0;a<i;a++){s=n[a],l=t._plots[s],u=l.xaxis,c=l.yaxis;var d=u._mainAxis,v=c._mainAxis,x=d._id+v._id,b=t._plots[x];l.overlays=[],x!==s&&b?(l.mainplot=x,l.mainplotinfo=b,h.push(s)):(l.mainplot=void 0,l.mainplotinfo=void 0,f.push(s))}for(a=0;a<h.length;a++)s=h[a],l=t._plots[s],l.mainplotinfo.overlays.push(l);var p=f.concat(h),C=[];for(a=0;a<i;a++){s=p[a],l=t._plots[s],u=l.xaxis,c=l.yaxis;for(var E=[],A=1;A<=r;A++){var L=\"\";for(A>1&&(L+=Xb+A),E.push(s+L),o=0;o<l.overlays.length;o++)E.push(l.overlays[o].id+L)}E=E.concat([u.layer,c.layer,u.overlaying||\"\",c.overlaying||\"\"]),C.push(E)}return C}function dpe(e,t){var r=e._fullLayout,n=t.plotgroup,i=t.id,a=i.indexOf(Xb),o=a!==-1,s=Fg.layerValue2layerClass[t.xaxis.layer],l=Fg.layerValue2layerClass[t.yaxis.layer],u=r._hasOnlyLargeSploms,c=r._zindices.length>1,f=t.mainplotinfo;if(!t.mainplot||c)if(u)t.xlines=nu(n,\"path\",\"xlines-above\"),t.ylines=nu(n,\"path\",\"ylines-above\"),t.xaxislayer=nu(n,\"g\",\"xaxislayer-above\"),t.yaxislayer=nu(n,\"g\",\"yaxislayer-above\");else{if(!o){var 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b={x:{},y:{}},p=+t.textangle||0,C=o._infolayer.append(\"g\").classed(u,!0).attr(\"data-index\",String(r)).style(\"opacity\",t.opacity),E=C.append(\"g\").classed(\"annotation-text-g\",!0),A=l[t.showarrow?\"annotationTail\":\"annotationPosition\"],L=t.captureevents||l.annotationText||A;function _(j){var re={index:r,annotation:t._input,fullAnnotation:t,event:j};return n&&(re.subplotId=n),re}var k=E.append(\"g\").style(\"pointer-events\",L?\"all\":null).call(LU,\"pointer\").on(\"click\",function(){e._dragging=!1,e.emit(\"plotly_clickannotation\",_(bpe.event))});t.hovertext&&k.on(\"mouseover\",function(){var 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Vn=t.arrowwidth,kn=t.arrowcolor,ea=t.arrowside,ua=C.append(\"g\").style({opacity:Zb.opacity(kn)}).classed(\"annotation-arrow-g\",!0),Vt=ua.append(\"path\").attr(\"d\",\"M\"+xe+\",\"+Ce+\"L\"+wt+\",\"+Ie).style(\"stroke-width\",Vn+\"px\").call(Zb.stroke,Zb.rgb(kn));if(n0t(Vt,ea,t),l.annotationPosition&&Vt.node().parentNode&&!n){var _t=wt,tr=Ie;if(t.standoff){var ar=Math.sqrt(Math.pow(wt-xe,2)+Math.pow(Ie-Ce,2));_t+=t.standoff*(xe-wt)/ar,tr+=t.standoff*(Ce-Ie)/ar}var Er=ua.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(xe-_t)+\",\"+(Ce-tr),transform:CU(_t,tr)}).style(\"stroke-width\",Vn+6+\"px\").call(Zb.stroke,\"rgba(0,0,0,0)\").call(Zb.fill,\"rgba(0,0,0,0)\"),Zr,ri;r4.init({element:Er.node(),gd:e,prepFn:function(){var $r=Py.getTranslate(k);Zr=$r.x,ri=$r.y,i&&i.autorange&&h(i._name+\".autorange\",!0),a&&a.autorange&&h(a._name+\".autorange\",!0)},moveFn:function($r,zi){var 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T0e=ye((jor,w0e)=>{\"use strict\";var H0t=Dr(),VU=ho(),j0t=Yd(),W0t=UU(),X0t=\"images\";w0e.exports=function(t,r){var n={name:X0t,handleItemDefaults:Z0t};j0t(t,r,n)};function Z0t(e,t,r){function n(h,d){return H0t.coerce(e,t,W0t,h,d)}var i=n(\"source\"),a=n(\"visible\",!!i);if(!a)return t;n(\"layer\"),n(\"xanchor\"),n(\"yanchor\"),n(\"sizex\"),n(\"sizey\"),n(\"sizing\"),n(\"opacity\");for(var o={_fullLayout:r},s=[\"x\",\"y\"],l=0;l<2;l++){var u=s[l],c=VU.coerceRef(e,t,o,u,\"paper\",void 0);if(c!==\"paper\"){var f=VU.getFromId(o,c);f._imgIndices.push(t._index)}VU.coercePosition(t,o,n,c,u,0)}return t}});var E0e=ye((Wor,M0e)=>{\"use strict\";var A0e=Oa(),Y0t=So(),vT=ho(),S0e=hf(),K0t=Wp();M0e.exports=function(t){var r=t._fullLayout,n=[],i={},a=[],o,s;for(s=0;s<r.images.length;s++){var l=r.images[s];if(l.visible)if(l.layer===\"below\"&&l.xref!==\"paper\"&&l.yref!==\"paper\"){o=S0e.ref2id(l.xref)+S0e.ref2id(l.yref);var 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g(){L.remove(),k()}}.bind(this));t._promises.push(_)}}function h(A){var L=A0e.select(this),_=vT.getFromId(t,A.xref),k=vT.getFromId(t,A.yref),M=vT.getRefType(A.xref)===\"domain\",g=vT.getRefType(A.yref)===\"domain\",P=r._size,T,z;_!==void 0?T=typeof A.xref==\"string\"&&M?_._length*A.sizex:Math.abs(_.l2p(A.sizex)-_.l2p(0)):T=A.sizex*P.w,k!==void 0?z=typeof A.yref==\"string\"&&g?k._length*A.sizey:Math.abs(k.l2p(A.sizey)-k.l2p(0)):z=A.sizey*P.h;var O=T*c.x[A.xanchor].offset,V=z*c.y[A.yanchor].offset,G=c.x[A.xanchor].sizing+c.y[A.yanchor].sizing,Z,H;switch(_!==void 0?Z=typeof A.xref==\"string\"&&M?_._length*A.x+_._offset:_.r2p(A.x)+_._offset:Z=A.x*P.w+P.l,Z+=O,k!==void 0?H=typeof A.yref==\"string\"&&g?k._length*(1-A.y)+k._offset:k.r2p(A.y)+k._offset:H=P.h-A.y*P.h+P.t,H+=V,A.sizing){case\"fill\":G+=\" slice\";break;case\"stretch\":G=\"none\";break}L.attr({x:Z,y:H,width:T,height:z,preserveAspectRatio:G,opacity:A.opacity});var N=_&&vT.getRefType(A.xref)!==\"domain\"?_._id:\"\",j=k&&vT.getRefType(A.yref)!==\"domain\"?k._id:\"\",re=N+j;Y0t.setClipUrl(L,re?\"clip\"+r._uid+re:null,t)}function d(A){return[A.xref,A.x,A.sizex,A.yref,A.y,A.sizey].join(\"_\")}function v(A,L){return A._index-L._index}var x=r._imageLowerLayer.selectAll(\"image\").data(a,d),b=r._imageUpperLayer.selectAll(\"image\").data(n,d);x.enter().append(\"image\"),b.enter().append(\"image\"),x.exit().remove(),b.exit().remove(),x.each(function(A){f.bind(this)(A),h.bind(this)(A)}),b.each(function(A){f.bind(this)(A),h.bind(this)(A)}),x.sort(v),b.sort(v);var p=Object.keys(r._plots);for(s=0;s<p.length;s++){o=p[s];var C=r._plots[o];if(C.imagelayer){var E=C.imagelayer.selectAll(\"image\").data(i[o]||[],d);E.enter().append(\"image\"),E.exit().remove(),E.each(function(A){f.bind(this)(A),h.bind(this)(A)}),E.sort(v)}}}});var L0e=ye((Xor,k0e)=>{\"use strict\";var C0e=Eo(),J0t=p6();k0e.exports=function(t,r,n,i){r=r||{};var a=n===\"log\"&&r.type===\"linear\",o=n===\"linear\"&&r.type===\"log\";if(a||o){for(var s=t._fullLayout.images,l=r._id.charAt(0),u,c,f=0;f<s.length;f++)if(u=s[f],c=\"images[\"+f+\"].\",u[l+\"ref\"]===r._id){var h=u[l],d=u[\"size\"+l],v=null,x=null;if(a){v=J0t(h,r.range);var b=d/Math.pow(10,v)/2;x=2*Math.log(b+Math.sqrt(1+b*b))/Math.LN10}else v=Math.pow(10,h),x=v*(Math.pow(10,d/2)-Math.pow(10,-d/2));C0e(v)?C0e(x)||(x=null):(v=null,x=null),i(c+l,v),i(c+\"size\"+l,x)}}}});var I0e=ye((Zor,P0e)=>{\"use strict\";P0e.exports={moduleType:\"component\",name:\"images\",layoutAttributes:UU(),supplyLayoutDefaults:T0e(),includeBasePlot:zM()(\"images\"),draw:E0e(),convertCoords:L0e()}});var gI=ye((Yor,R0e)=>{\"use strict\";R0e.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:\"\\u25C4\",right:\"\\u25BA\",up:\"\\u25B2\",down:\"\\u25BC\"}}});var GU=ye((Kor,F0e)=>{\"use strict\";var $0t=ec(),Q0t=Eh(),egt=Ao().extendFlat,tgt=mc().overrideAll,rgt=S6(),D0e=pl().templatedArray,igt=D0e(\"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}});F0e.exports=tgt(D0e(\"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:igt,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:egt(rgt({editType:\"arraydraw\"}),{}),font:$0t({}),bgcolor:{valType:\"color\"},bordercolor:{valType:\"color\",dflt:Q0t.borderLine},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"arraydraw\"}}),\"arraydraw\",\"from-root\")});var B0e=ye((Jor,q0e)=>{\"use strict\";var mI=Dr(),z0e=Yd(),O0e=GU(),ngt=gI(),agt=ngt.name,ogt=O0e.buttons;q0e.exports=function(t,r){var n={name:agt,handleItemDefaults:sgt};z0e(t,r,n)};function sgt(e,t,r){function n(o,s){return mI.coerce(e,t,O0e,o,s)}var i=z0e(e,t,{name:\"buttons\",handleItemDefaults:lgt}),a=n(\"visible\",i.length>0);a&&(n(\"active\"),n(\"direction\"),n(\"type\"),n(\"showactive\"),n(\"x\"),n(\"y\"),mI.noneOrAll(e,t,[\"x\",\"y\"]),n(\"xanchor\"),n(\"yanchor\"),n(\"pad.t\"),n(\"pad.r\"),n(\"pad.b\"),n(\"pad.l\"),mI.coerceFont(n,\"font\",r.font),n(\"bgcolor\",r.paper_bgcolor),n(\"bordercolor\"),n(\"borderwidth\"))}function lgt(e,t){function r(i,a){return mI.coerce(e,t,ogt,i,a)}var n=r(\"visible\",e.method===\"skip\"||Array.isArray(e.args));n&&(r(\"method\"),r(\"args\"),r(\"args2\"),r(\"label\"),r(\"execute\"))}});var V0e=ye(($or,U0e)=>{\"use strict\";U0e.exports=Sf;var Og=Oa(),N0e=Ca(),pT=So(),yI=Dr();function Sf(e,t,r){this.gd=e,this.container=t,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})}Sf.barWidth=2;Sf.barLength=20;Sf.barRadius=2;Sf.barPad=1;Sf.barColor=\"#808BA4\";Sf.prototype.enable=function(t,r,n){var i=this.gd._fullLayout,a=i.width,o=i.height;this.position=t;var s=this.position.l,l=this.position.w,u=this.position.t,c=this.position.h,f=this.position.direction,h=f===\"down\",d=f===\"left\",v=f===\"right\",x=f===\"up\",b=l,p=c,C,E,A,L;!h&&!d&&!v&&!x&&(this.position.direction=\"down\",h=!0);var _=h||x;_?(C=s,E=C+b,h?(A=u,L=Math.min(A+p,o),p=L-A):(L=u+p,A=Math.max(L-p,0),p=L-A)):(A=u,L=A+p,d?(E=s+b,C=Math.max(E-b,0),b=E-C):(C=s,E=Math.min(C+b,a),b=E-C)),this._box={l:C,t:A,w:b,h:p};var k=l>b,M=Sf.barLength+2*Sf.barPad,g=Sf.barWidth+2*Sf.barPad,P=s,T=u+c;T+g>o&&(T=o-g);var z=this.container.selectAll(\"rect.scrollbar-horizontal\").data(k?[0]:[]);z.exit().on(\".drag\",null).remove(),z.enter().append(\"rect\").classed(\"scrollbar-horizontal\",!0).call(N0e.fill,Sf.barColor),k?(this.hbar=z.attr({rx:Sf.barRadius,ry:Sf.barRadius,x:P,y:T,width:M,height:g}),this._hbarXMin=P+M/2,this._hbarTranslateMax=b-M):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var O=c>p,V=Sf.barWidth+2*Sf.barPad,G=Sf.barLength+2*Sf.barPad,Z=s+l,H=u;Z+V>a&&(Z=a-V);var N=this.container.selectAll(\"rect.scrollbar-vertical\").data(O?[0]:[]);N.exit().on(\".drag\",null).remove(),N.enter().append(\"rect\").classed(\"scrollbar-vertical\",!0).call(N0e.fill,Sf.barColor),O?(this.vbar=N.attr({rx:Sf.barRadius,ry:Sf.barRadius,x:Z,y:H,width:V,height:G}),this._vbarYMin=H+G/2,this._vbarTranslateMax=p-G):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var j=this.id,re=C-.5,oe=O?E+V+.5:E+.5,_e=A-.5,Me=k?L+g+.5:L+.5,ke=i._topdefs.selectAll(\"#\"+j).data(k||O?[0]:[]);if(ke.exit().remove(),ke.enter().append(\"clipPath\").attr(\"id\",j).append(\"rect\"),k||O?(this._clipRect=ke.select(\"rect\").attr({x:Math.floor(re),y:Math.floor(_e),width:Math.ceil(oe)-Math.floor(re),height:Math.ceil(Me)-Math.floor(_e)}),this.container.call(pT.setClipUrl,j,this.gd),this.bg.attr({x:s,y:u,width:l,height:c})):(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(pT.setClipUrl,null),delete this._clipRect),k||O){var me=Og.behavior.drag().on(\"dragstart\",function(){Og.event.sourceEvent.preventDefault()}).on(\"drag\",this._onBoxDrag.bind(this));this.container.on(\"wheel\",null).on(\"wheel\",this._onBoxWheel.bind(this)).on(\".drag\",null).call(me);var ie=Og.behavior.drag().on(\"dragstart\",function(){Og.event.sourceEvent.preventDefault(),Og.event.sourceEvent.stopPropagation()}).on(\"drag\",this._onBarDrag.bind(this));k&&this.hbar.on(\".drag\",null).call(ie),O&&this.vbar.on(\".drag\",null).call(ie)}this.setTranslate(r,n)};Sf.prototype.disable=function(){(this.hbar||this.vbar)&&(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(pT.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)};Sf.prototype._onBoxDrag=function(){var t=this.translateX,r=this.translateY;this.hbar&&(t-=Og.event.dx),this.vbar&&(r-=Og.event.dy),this.setTranslate(t,r)};Sf.prototype._onBoxWheel=function(){var t=this.translateX,r=this.translateY;this.hbar&&(t+=Og.event.deltaY),this.vbar&&(r+=Og.event.deltaY),this.setTranslate(t,r)};Sf.prototype._onBarDrag=function(){var t=this.translateX,r=this.translateY;if(this.hbar){var n=t+this._hbarXMin,i=n+this._hbarTranslateMax,a=yI.constrain(Og.event.x,n,i),o=(a-n)/(i-n),s=this.position.w-this._box.w;t=o*s}if(this.vbar){var l=r+this._vbarYMin,u=l+this._vbarTranslateMax,c=yI.constrain(Og.event.y,l,u),f=(c-l)/(u-l),h=this.position.h-this._box.h;r=f*h}this.setTranslate(t,r)};Sf.prototype.setTranslate=function(t,r){var n=this.position.w-this._box.w,i=this.position.h-this._box.h;if(t=yI.constrain(t||0,0,n),r=yI.constrain(r||0,0,i),this.translateX=t,this.translateY=r,this.container.call(pT.setTranslate,this._box.l-this.position.l-t,this._box.t-this.position.t-r),this._clipRect&&this._clipRect.attr({x:Math.floor(this.position.l+t-.5),y:Math.floor(this.position.t+r-.5)}),this.hbar){var a=t/n;this.hbar.call(pT.setTranslate,t+a*this._hbarTranslateMax,r)}if(this.vbar){var o=r/i;this.vbar.call(pT.setTranslate,t,r+o*this._vbarTranslateMax)}}});var $0e=ye((Qor,J0e)=>{\"use strict\";var gT=Oa(),a4=Mc(),o4=Ca(),mT=So(),e0=Dr(),_I=iu(),ugt=pl().arrayEditor,H0e=Kh().LINE_SPACING,ts=gI(),cgt=V0e();J0e.exports=function(t){var r=t._fullLayout,n=e0.filterVisible(r[ts.name]);function i(h){a4.autoMargin(t,Y0e(h))}var a=r._menulayer.selectAll(\"g.\"+ts.containerClassName).data(n.length>0?[0]:[]);if(a.enter().append(\"g\").classed(ts.containerClassName,!0).style(\"cursor\",\"pointer\"),a.exit().each(function(){gT.select(this).selectAll(\"g.\"+ts.headerGroupClassName).each(i)}).remove(),n.length!==0){var o=a.selectAll(\"g.\"+ts.headerGroupClassName).data(n,fgt);o.enter().append(\"g\").classed(ts.headerGroupClassName,!0);for(var s=e0.ensureSingle(a,\"g\",ts.dropdownButtonGroupClassName,function(h){h.style(\"pointer-events\",\"all\")}),l=0;l<n.length;l++){var u=n[l];mgt(t,u)}var c=\"updatemenus\"+r._uid,f=new cgt(t,s,c);o.enter().size()&&(s.node().parentNode.appendChild(s.node()),s.call(jU)),o.exit().each(function(h){s.call(jU),i(h)}).remove(),o.each(function(h){var d=gT.select(this),v=h.type===\"dropdown\"?s:null;a4.manageCommandObserver(t,h,h.buttons,function(x){HU(t,h,h.buttons[x.index],d,v,f,x.index,!0)}),h.type===\"dropdown\"?(W0e(t,d,s,f,h),j0e(s,h)&&s4(t,d,s,f,h)):s4(t,d,null,null,h)})}};function fgt(e){return e._index}function hgt(e){return+e.attr(ts.menuIndexAttrName)==-1}function j0e(e,t){return+e.attr(ts.menuIndexAttrName)===t._index}function HU(e,t,r,n,i,a,o,s){t.active=o,ugt(e.layout,ts.name,t).applyUpdate(\"active\",o),t.type===\"buttons\"?s4(e,n,null,null,t):t.type===\"dropdown\"&&(i.attr(ts.menuIndexAttrName,\"-1\"),W0e(e,n,i,a,t),s||s4(e,n,i,a,t))}function W0e(e,t,r,n,i){var a=e0.ensureSingle(t,\"g\",ts.headerClassName,function(h){h.style(\"pointer-events\",\"all\")}),o=i._dims,s=i.active,l=i.buttons[s]||ts.blankHeaderOpts,u={y:i.pad.t,yPad:0,x:i.pad.l,xPad:0,index:0},c={width:o.headerWidth,height:o.headerHeight};a.call(WU,i,l,e).call(K0e,i,u,c);var f=e0.ensureSingle(t,\"text\",ts.headerArrowClassName,function(h){h.attr(\"text-anchor\",\"end\").call(mT.font,i.font).text(ts.arrowSymbol[i.direction])});f.attr({x:o.headerWidth-ts.arrowOffsetX+i.pad.l,y:o.headerHeight/2+ts.textOffsetY+i.pad.t}),a.on(\"click\",function(){r.call(jU,String(j0e(r,i)?-1:i._index)),s4(e,t,r,n,i)}),a.on(\"mouseover\",function(){a.call(X0e)}),a.on(\"mouseout\",function(){a.call(Z0e,i)}),mT.setTranslate(t,o.lx,o.ly)}function s4(e,t,r,n,i){r||(r=t,r.attr(\"pointer-events\",\"all\"));var a=!hgt(r)||i.type===\"buttons\"?i.buttons:[],o=i.type===\"dropdown\"?ts.dropdownButtonClassName:ts.buttonClassName,s=r.selectAll(\"g.\"+o).data(e0.filterVisible(a)),l=s.enter().append(\"g\").classed(o,!0),u=s.exit();i.type===\"dropdown\"?(l.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),u.transition().attr(\"opacity\",\"0\").remove()):u.remove();var c=0,f=0,h=i._dims,d=[\"up\",\"down\"].indexOf(i.direction)!==-1;i.type===\"dropdown\"&&(d?f=h.headerHeight+ts.gapButtonHeader:c=h.headerWidth+ts.gapButtonHeader),i.type===\"dropdown\"&&i.direction===\"up\"&&(f=-ts.gapButtonHeader+ts.gapButton-h.openHeight),i.type===\"dropdown\"&&i.direction===\"left\"&&(c=-ts.gapButtonHeader+ts.gapButton-h.openWidth);var v={x:h.lx+c+i.pad.l,y:h.ly+f+i.pad.t,yPad:ts.gapButton,xPad:ts.gapButton,index:0},x={l:v.x+i.borderwidth,t:v.y+i.borderwidth};s.each(function(b,p){var C=gT.select(this);C.call(WU,i,b,e).call(K0e,i,v),C.on(\"click\",function(){gT.event.defaultPrevented||(b.execute&&(b.args2&&i.active===p?(HU(e,i,b,t,r,n,-1),a4.executeAPICommand(e,b.method,b.args2)):(HU(e,i,b,t,r,n,p),a4.executeAPICommand(e,b.method,b.args))),e.emit(\"plotly_buttonclicked\",{menu:i,button:b,active:i.active}))}),C.on(\"mouseover\",function(){C.call(X0e)}),C.on(\"mouseout\",function(){C.call(Z0e,i),s.call(G0e,i)})}),s.call(G0e,i),d?(x.w=Math.max(h.openWidth,h.headerWidth),x.h=v.y-x.t):(x.w=v.x-x.l,x.h=Math.max(h.openHeight,h.headerHeight)),x.direction=i.direction,n&&(s.size()?dgt(e,t,r,n,i,x):vgt(n))}function dgt(e,t,r,n,i,a){var o=i.direction,s=o===\"up\"||o===\"down\",l=i._dims,u=i.active,c,f,h;if(s)for(f=0,h=0;h<u;h++)f+=l.heights[h]+ts.gapButton;else for(c=0,h=0;h<u;h++)c+=l.widths[h]+ts.gapButton;n.enable(a,c,f),n.hbar&&n.hbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),n.vbar&&n.vbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\")}function vgt(e){var t=!!e.hbar,r=!!e.vbar;t&&e.hbar.transition().attr(\"opacity\",\"0\").each(\"end\",function(){t=!1,r||e.disable()}),r&&e.vbar.transition().attr(\"opacity\",\"0\").each(\"end\",function(){r=!1,t||e.disable()})}function WU(e,t,r,n){e.call(pgt,t).call(ggt,t,r,n)}function pgt(e,t){var r=e0.ensureSingle(e,\"rect\",ts.itemRectClassName,function(n){n.attr({rx:ts.rx,ry:ts.ry,\"shape-rendering\":\"crispEdges\"})});r.call(o4.stroke,t.bordercolor).call(o4.fill,t.bgcolor).style(\"stroke-width\",t.borderwidth+\"px\")}function ggt(e,t,r,n){var i=e0.ensureSingle(e,\"text\",ts.itemTextClassName,function(s){s.attr({\"text-anchor\":\"start\",\"data-notex\":1})}),a=r.label,o=n._fullLayout._meta;o&&(a=e0.templateString(a,o)),i.call(mT.font,t.font).text(a).call(_I.convertToTspans,n)}function G0e(e,t){var r=t.active;e.each(function(n,i){var a=gT.select(this);i===r&&t.showactive&&a.select(\"rect.\"+ts.itemRectClassName).call(o4.fill,ts.activeColor)})}function X0e(e){e.select(\"rect.\"+ts.itemRectClassName).call(o4.fill,ts.hoverColor)}function Z0e(e,t){e.select(\"rect.\"+ts.itemRectClassName).call(o4.fill,t.bgcolor)}function mgt(e,t){var r=t._dims={width1:0,height1:0,heights:[],widths:[],totalWidth:0,totalHeight:0,openWidth:0,openHeight:0,lx:0,ly:0},n=mT.tester.selectAll(\"g.\"+ts.dropdownButtonClassName).data(e0.filterVisible(t.buttons));n.enter().append(\"g\").classed(ts.dropdownButtonClassName,!0);var i=[\"up\",\"down\"].indexOf(t.direction)!==-1;n.each(function(c,f){var h=gT.select(this);h.call(WU,t,c,e);var d=h.select(\".\"+ts.itemTextClassName),v=d.node()&&mT.bBox(d.node()).width,x=Math.max(v+ts.textPadX,ts.minWidth),b=t.font.size*H0e,p=_I.lineCount(d),C=Math.max(b*p,ts.minHeight)+ts.textOffsetY;C=Math.ceil(C),x=Math.ceil(x),r.widths[f]=x,r.heights[f]=C,r.height1=Math.max(r.height1,C),r.width1=Math.max(r.width1,x),i?(r.totalWidth=Math.max(r.totalWidth,x),r.openWidth=r.totalWidth,r.totalHeight+=C+ts.gapButton,r.openHeight+=C+ts.gapButton):(r.totalWidth+=x+ts.gapButton,r.openWidth+=x+ts.gapButton,r.totalHeight=Math.max(r.totalHeight,C),r.openHeight=r.totalHeight)}),i?r.totalHeight-=ts.gapButton:r.totalWidth-=ts.gapButton,r.headerWidth=r.width1+ts.arrowPadX,r.headerHeight=r.height1,t.type===\"dropdown\"&&(i?(r.width1+=ts.arrowPadX,r.totalHeight=r.height1):r.totalWidth=r.width1,r.totalWidth+=ts.arrowPadX),n.remove();var a=r.totalWidth+t.pad.l+t.pad.r,o=r.totalHeight+t.pad.t+t.pad.b,s=e._fullLayout._size;r.lx=s.l+s.w*t.x,r.ly=s.t+s.h*(1-t.y);var l=\"left\";e0.isRightAnchor(t)&&(r.lx-=a,l=\"right\"),e0.isCenterAnchor(t)&&(r.lx-=a/2,l=\"center\");var u=\"top\";e0.isBottomAnchor(t)&&(r.ly-=o,u=\"bottom\"),e0.isMiddleAnchor(t)&&(r.ly-=o/2,u=\"middle\"),r.totalWidth=Math.ceil(r.totalWidth),r.totalHeight=Math.ceil(r.totalHeight),r.lx=Math.round(r.lx),r.ly=Math.round(r.ly),a4.autoMargin(e,Y0e(t),{x:t.x,y:t.y,l:a*({right:1,center:.5}[l]||0),r:a*({left:1,center:.5}[l]||0),b:o*({top:1,middle:.5}[u]||0),t:o*({bottom:1,middle:.5}[u]||0)})}function Y0e(e){return ts.autoMarginIdRoot+e._index}function K0e(e,t,r,n){n=n||{};var i=e.select(\".\"+ts.itemRectClassName),a=e.select(\".\"+ts.itemTextClassName),o=t.borderwidth,s=r.index,l=t._dims;mT.setTranslate(e,o+r.x,o+r.y);var u=[\"up\",\"down\"].indexOf(t.direction)!==-1,c=n.height||(u?l.heights[s]:l.height1);i.attr({x:0,y:0,width:n.width||(u?l.width1:l.widths[s]),height:c});var f=t.font.size*H0e,h=_I.lineCount(a),d=(h-1)*f/2;_I.positionText(a,ts.textOffsetX,c/2-d+ts.textOffsetY),u?r.y+=l.heights[s]+r.yPad:r.x+=l.widths[s]+r.xPad,r.index++}function jU(e,t){e.attr(ts.menuIndexAttrName,t||\"-1\").selectAll(\"g.\"+ts.dropdownButtonClassName).remove()}});var ege=ye((esr,Q0e)=>{\"use strict\";var ygt=gI();Q0e.exports={moduleType:\"component\",name:ygt.name,layoutAttributes:GU(),supplyLayoutDefaults:B0e(),draw:$0e()}});var l4=ye((tsr,tge)=>{\"use strict\";tge.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}});var XU=ye((rsr,nge)=>{\"use strict\";var rge=ec(),_gt=S6(),xgt=Ao().extendDeepAll,bgt=mc().overrideAll,wgt=qS(),ige=pl().templatedArray,Jb=l4(),Tgt=ige(\"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}});nge.exports=bgt(ige(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:Tgt,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:xgt(_gt({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:wgt.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:rge({})},font:rge({}),activebgcolor:{valType:\"color\",dflt:Jb.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:Jb.railBgColor},bordercolor:{valType:\"color\",dflt:Jb.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:Jb.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:Jb.tickLength},tickcolor:{valType:\"color\",dflt:Jb.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:Jb.minorTickLength}}),\"arraydraw\",\"from-root\")});var lge=ye((isr,sge)=>{\"use strict\";var yT=Dr(),age=Yd(),oge=XU(),Agt=l4(),Sgt=Agt.name,Mgt=oge.steps;sge.exports=function(t,r){age(t,r,{name:Sgt,handleItemDefaults:Egt})};function Egt(e,t,r){function n(f,h){return yT.coerce(e,t,oge,f,h)}for(var i=age(e,t,{name:\"steps\",handleItemDefaults:Cgt}),a=0,o=0;o<i.length;o++)i[o].visible&&a++;var s;if(a<2?s=t.visible=!1:s=n(\"visible\"),!!s){t._stepCount=a;var l=t._visibleSteps=yT.filterVisible(i),u=n(\"active\");(i[u]||{}).visible||(t.active=l[0]._index),n(\"x\"),n(\"y\"),yT.noneOrAll(e,t,[\"x\",\"y\"]),n(\"xanchor\"),n(\"yanchor\"),n(\"len\"),n(\"lenmode\"),n(\"pad.t\"),n(\"pad.r\"),n(\"pad.b\"),n(\"pad.l\"),yT.coerceFont(n,\"font\",r.font);var c=n(\"currentvalue.visible\");c&&(n(\"currentvalue.xanchor\"),n(\"currentvalue.prefix\"),n(\"currentvalue.suffix\"),n(\"currentvalue.offset\"),yT.coerceFont(n,\"currentvalue.font\",t.font)),n(\"transition.duration\"),n(\"transition.easing\"),n(\"bgcolor\"),n(\"activebgcolor\"),n(\"bordercolor\"),n(\"borderwidth\"),n(\"ticklen\"),n(\"tickwidth\"),n(\"tickcolor\"),n(\"minorticklen\")}}function Cgt(e,t){function r(a,o){return yT.coerce(e,t,Mgt,a,o)}var n;if(e.method!==\"skip\"&&!Array.isArray(e.args)?n=t.visible=!1:n=r(\"visible\"),n){r(\"method\"),r(\"args\");var i=r(\"label\",\"step-\"+t._index);r(\"value\",i),r(\"execute\")}}});var yge=ye((nsr,mge)=>{\"use strict\";var qg=Oa(),xI=Mc(),x_=Ca(),Bg=So(),t0=Dr(),kgt=t0.strTranslate,u4=iu(),Lgt=pl().arrayEditor,Ds=l4(),KU=Kh(),fge=KU.LINE_SPACING,ZU=KU.FROM_TL,YU=KU.FROM_BR;mge.exports=function(t){var r=t._context.staticPlot,n=t._fullLayout,i=Pgt(n,t),a=n._infolayer.selectAll(\"g.\"+Ds.containerClassName).data(i.length>0?[0]:[]);a.enter().append(\"g\").classed(Ds.containerClassName,!0).style(\"cursor\",r?null:\"ew-resize\");function o(c){c._commandObserver&&(c._commandObserver.remove(),delete c._commandObserver),xI.autoMargin(t,hge(c))}if(a.exit().each(function(){qg.select(this).selectAll(\"g.\"+Ds.groupClassName).each(o)}).remove(),i.length!==0){var s=a.selectAll(\"g.\"+Ds.groupClassName).data(i,Igt);s.enter().append(\"g\").classed(Ds.groupClassName,!0),s.exit().each(o).remove();for(var l=0;l<i.length;l++){var u=i[l];Rgt(t,u)}s.each(function(c){var f=qg.select(this);qgt(c),xI.manageCommandObserver(t,c,c._visibleSteps,function(h){var d=f.data()[0];d.active!==h.index&&(d._dragging||vge(t,f,d,h.index,!1,!0))}),Dgt(t,qg.select(this),c)})}};function hge(e){return Ds.autoMarginIdRoot+e._index}function Pgt(e,t){for(var r=e[Ds.name],n=[],i=0;i<r.length;i++){var a=r[i];a.visible&&(a._gd=t,n.push(a))}return n}function Igt(e){return e._index}function Rgt(e,t){var r=Bg.tester.selectAll(\"g.\"+Ds.labelGroupClass).data(t._visibleSteps);r.enter().append(\"g\").classed(Ds.labelGroupClass,!0);var n=0,i=0;r.each(function(v){var x=qg.select(this),b=dge(x,{step:v},t),p=b.node();if(p){var C=Bg.bBox(p);i=Math.max(i,C.height),n=Math.max(n,C.width)}}),r.remove();var a=t._dims={};a.inputAreaWidth=Math.max(Ds.railWidth,Ds.gripHeight);var o=e._fullLayout._size;a.lx=o.l+o.w*t.x,a.ly=o.t+o.h*(1-t.y),t.lenmode===\"fraction\"?a.outerLength=Math.round(o.w*t.len):a.outerLength=t.len,a.inputAreaStart=0,a.inputAreaLength=Math.round(a.outerLength-t.pad.l-t.pad.r);var s=a.inputAreaLength-2*Ds.stepInset,l=s/(t._stepCount-1),u=n+Ds.labelPadding;if(a.labelStride=Math.max(1,Math.ceil(u/l)),a.labelHeight=i,a.currentValueMaxWidth=0,a.currentValueHeight=0,a.currentValueTotalHeight=0,a.currentValueMaxLines=1,t.currentvalue.visible){var c=Bg.tester.append(\"g\");r.each(function(v){var x=bI(c,t,v.label),b=x.node()&&Bg.bBox(x.node())||{width:0,height:0},p=u4.lineCount(x);a.currentValueMaxWidth=Math.max(a.currentValueMaxWidth,Math.ceil(b.width)),a.currentValueHeight=Math.max(a.currentValueHeight,Math.ceil(b.height)),a.currentValueMaxLines=Math.max(a.currentValueMaxLines,p)}),a.currentValueTotalHeight=a.currentValueHeight+t.currentvalue.offset,c.remove()}a.height=a.currentValueTotalHeight+Ds.tickOffset+t.ticklen+Ds.labelOffset+a.labelHeight+t.pad.t+t.pad.b;var f=\"left\";t0.isRightAnchor(t)&&(a.lx-=a.outerLength,f=\"right\"),t0.isCenterAnchor(t)&&(a.lx-=a.outerLength/2,f=\"center\");var h=\"top\";t0.isBottomAnchor(t)&&(a.ly-=a.height,h=\"bottom\"),t0.isMiddleAnchor(t)&&(a.ly-=a.height/2,h=\"middle\"),a.outerLength=Math.ceil(a.outerLength),a.height=Math.ceil(a.height),a.lx=Math.round(a.lx),a.ly=Math.round(a.ly);var d={y:t.y,b:a.height*YU[h],t:a.height*ZU[h]};t.lenmode===\"fraction\"?(d.l=0,d.xl=t.x-t.len*ZU[f],d.r=0,d.xr=t.x+t.len*YU[f]):(d.x=t.x,d.l=a.outerLength*ZU[f],d.r=a.outerLength*YU[f]),xI.autoMargin(e,hge(t),d)}function Dgt(e,t,r){(r.steps[r.active]||{}).visible||(r.active=r._visibleSteps[0]._index),t.call(bI,r).call(Ngt,r).call(zgt,r).call(Ogt,r).call(Bgt,e,r).call(Fgt,e,r);var n=r._dims;Bg.setTranslate(t,n.lx+r.pad.l,n.ly+r.pad.t),t.call(gge,r,!1),t.call(bI,r)}function bI(e,t,r){if(t.currentvalue.visible){var n=t._dims,i,a;switch(t.currentvalue.xanchor){case\"right\":i=n.inputAreaLength-Ds.currentValueInset-n.currentValueMaxWidth,a=\"left\";break;case\"center\":i=n.inputAreaLength*.5,a=\"middle\";break;default:i=Ds.currentValueInset,a=\"left\"}var o=t0.ensureSingle(e,\"text\",Ds.labelClass,function(h){h.attr({\"text-anchor\":a,\"data-notex\":1})}),s=t.currentvalue.prefix?t.currentvalue.prefix:\"\";if(typeof r==\"string\")s+=r;else{var l=t.steps[t.active].label,u=t._gd._fullLayout._meta;u&&(l=t0.templateString(l,u)),s+=l}t.currentvalue.suffix&&(s+=t.currentvalue.suffix),o.call(Bg.font,t.currentvalue.font).text(s).call(u4.convertToTspans,t._gd);var c=u4.lineCount(o),f=(n.currentValueMaxLines+1-c)*t.currentvalue.font.size*fge;return u4.positionText(o,i,f),o}}function Fgt(e,t,r){var n=t0.ensureSingle(e,\"rect\",Ds.gripRectClass,function(i){i.call(pge,t,e,r).style(\"pointer-events\",\"all\")});n.attr({width:Ds.gripWidth,height:Ds.gripHeight,rx:Ds.gripRadius,ry:Ds.gripRadius}).call(x_.stroke,r.bordercolor).call(x_.fill,r.bgcolor).style(\"stroke-width\",r.borderwidth+\"px\")}function dge(e,t,r){var n=t0.ensureSingle(e,\"text\",Ds.labelClass,function(o){o.attr({\"text-anchor\":\"middle\",\"data-notex\":1})}),i=t.step.label,a=r._gd._fullLayout._meta;return a&&(i=t0.templateString(i,a)),n.call(Bg.font,r.font).text(i).call(u4.convertToTspans,r._gd),n}function zgt(e,t){var r=t0.ensureSingle(e,\"g\",Ds.labelsClass),n=t._dims,i=r.selectAll(\"g.\"+Ds.labelGroupClass).data(n.labelSteps);i.enter().append(\"g\").classed(Ds.labelGroupClass,!0),i.exit().remove(),i.each(function(a){var o=qg.select(this);o.call(dge,a,t),Bg.setTranslate(o,JU(t,a.fraction),Ds.tickOffset+t.ticklen+t.font.size*fge+Ds.labelOffset+n.currentValueTotalHeight)})}function uge(e,t,r,n,i){var a=Math.round(n*(r._stepCount-1)),o=r._visibleSteps[a]._index;o!==r.active&&vge(e,t,r,o,!0,i)}function vge(e,t,r,n,i,a){var o=r.active;r.active=n,Lgt(e.layout,Ds.name,r).applyUpdate(\"active\",n);var s=r.steps[r.active];t.call(gge,r,a),t.call(bI,r),e.emit(\"plotly_sliderchange\",{slider:r,step:r.steps[r.active],interaction:i,previousActive:o}),s&&s.method&&i&&(t._nextMethod?(t._nextMethod.step=s,t._nextMethod.doCallback=i,t._nextMethod.doTransition=a):(t._nextMethod={step:s,doCallback:i,doTransition:a},t._nextMethodRaf=window.requestAnimationFrame(function(){var l=t._nextMethod.step;l.method&&(l.execute&&xI.executeAPICommand(e,l.method,l.args),t._nextMethod=null,t._nextMethodRaf=null)})))}function pge(e,t,r){if(t._context.staticPlot)return;var n=r.node(),i=qg.select(t);function a(){return r.data()[0]}function o(){var s=a();t.emit(\"plotly_sliderstart\",{slider:s});var l=r.select(\".\"+Ds.gripRectClass);qg.event.stopPropagation(),qg.event.preventDefault(),l.call(x_.fill,s.activebgcolor);var u=cge(s,qg.mouse(n)[0]);uge(t,r,s,u,!0),s._dragging=!0;function c(){var h=a(),d=cge(h,qg.mouse(n)[0]);uge(t,r,h,d,!1)}i.on(\"mousemove\",c),i.on(\"touchmove\",c);function f(){var h=a();h._dragging=!1,l.call(x_.fill,h.bgcolor),i.on(\"mouseup\",null),i.on(\"mousemove\",null),i.on(\"touchend\",null),i.on(\"touchmove\",null),t.emit(\"plotly_sliderend\",{slider:h,step:h.steps[h.active]})}i.on(\"mouseup\",f),i.on(\"touchend\",f)}e.on(\"mousedown\",o),e.on(\"touchstart\",o)}function Ogt(e,t){var r=e.selectAll(\"rect.\"+Ds.tickRectClass).data(t._visibleSteps),n=t._dims;r.enter().append(\"rect\").classed(Ds.tickRectClass,!0),r.exit().remove(),r.attr({width:t.tickwidth+\"px\",\"shape-rendering\":\"crispEdges\"}),r.each(function(i,a){var o=a%n.labelStride===0,s=qg.select(this);s.attr({height:o?t.ticklen:t.minorticklen}).call(x_.fill,t.tickcolor),Bg.setTranslate(s,JU(t,a/(t._stepCount-1))-.5*t.tickwidth,(o?Ds.tickOffset:Ds.minorTickOffset)+n.currentValueTotalHeight)})}function qgt(e){var t=e._dims;t.labelSteps=[];for(var r=e._stepCount,n=0;n<r;n+=t.labelStride)t.labelSteps.push({fraction:n/(r-1),step:e._visibleSteps[n]})}function gge(e,t,r){for(var n=e.select(\"rect.\"+Ds.gripRectClass),i=0,a=0;a<t._stepCount;a++)if(t._visibleSteps[a]._index===t.active){i=a;break}var o=JU(t,i/(t._stepCount-1));if(!t._invokingCommand){var s=n;r&&t.transition.duration>0&&(s=s.transition().duration(t.transition.duration).ease(t.transition.easing)),s.attr(\"transform\",kgt(o-Ds.gripWidth*.5,t._dims.currentValueTotalHeight))}}function JU(e,t){var r=e._dims;return r.inputAreaStart+Ds.stepInset+(r.inputAreaLength-2*Ds.stepInset)*Math.min(1,Math.max(0,t))}function cge(e,t){var r=e._dims;return Math.min(1,Math.max(0,(t-Ds.stepInset-r.inputAreaStart)/(r.inputAreaLength-2*Ds.stepInset-2*r.inputAreaStart)))}function Bgt(e,t,r){var n=r._dims,i=t0.ensureSingle(e,\"rect\",Ds.railTouchRectClass,function(a){a.call(pge,t,e,r).style(\"pointer-events\",\"all\")});i.attr({width:n.inputAreaLength,height:Math.max(n.inputAreaWidth,Ds.tickOffset+r.ticklen+n.labelHeight)}).call(x_.fill,r.bgcolor).attr(\"opacity\",0),Bg.setTranslate(i,0,n.currentValueTotalHeight)}function Ngt(e,t){var r=t._dims,n=r.inputAreaLength-Ds.railInset*2,i=t0.ensureSingle(e,\"rect\",Ds.railRectClass);i.attr({width:n,height:Ds.railWidth,rx:Ds.railRadius,ry:Ds.railRadius,\"shape-rendering\":\"crispEdges\"}).call(x_.stroke,t.bordercolor).call(x_.fill,t.bgcolor).style(\"stroke-width\",t.borderwidth+\"px\"),Bg.setTranslate(i,Ds.railInset,(r.inputAreaWidth-Ds.railWidth)*.5+r.currentValueTotalHeight)}});var xge=ye((asr,_ge)=>{\"use strict\";var Ugt=l4();_ge.exports={moduleType:\"component\",name:Ugt.name,layoutAttributes:XU(),supplyLayoutDefaults:lge(),draw:yge()}});var wI=ye((osr,wge)=>{\"use strict\";var bge=Eh();wge.exports={bgcolor:{valType:\"color\",dflt:bge.background,editType:\"plot\"},bordercolor:{valType:\"color\",dflt:bge.defaultLine,editType:\"plot\"},borderwidth:{valType:\"integer\",dflt:0,min:0,editType:\"plot\"},autorange:{valType:\"boolean\",dflt:!0,editType:\"calc\",impliedEdits:{\"range[0]\":void 0,\"range[1]\":void 0}},range:{valType:\"info_array\",items:[{valType:\"any\",editType:\"calc\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"calc\",impliedEdits:{\"^autorange\":!1}}],editType:\"calc\",impliedEdits:{autorange:!1}},thickness:{valType:\"number\",dflt:.15,min:0,max:1,editType:\"plot\"},visible:{valType:\"boolean\",dflt:!0,editType:\"calc\"},editType:\"calc\"}});var $U=ye((ssr,Tge)=>{\"use strict\";Tge.exports={_isSubplotObj:!0,rangemode:{valType:\"enumerated\",values:[\"auto\",\"fixed\",\"match\"],dflt:\"match\",editType:\"calc\"},range:{valType:\"info_array\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},editType:\"calc\"}});var TI=ye((lsr,Age)=>{\"use strict\";Age.exports={name:\"rangeslider\",containerClassName:\"rangeslider-container\",bgClassName:\"rangeslider-bg\",rangePlotClassName:\"rangeslider-rangeplot\",maskMinClassName:\"rangeslider-mask-min\",maskMaxClassName:\"rangeslider-mask-max\",slideBoxClassName:\"rangeslider-slidebox\",grabberMinClassName:\"rangeslider-grabber-min\",grabAreaMinClassName:\"rangeslider-grabarea-min\",handleMinClassName:\"rangeslider-handle-min\",grabberMaxClassName:\"rangeslider-grabber-max\",grabAreaMaxClassName:\"rangeslider-grabarea-max\",handleMaxClassName:\"rangeslider-handle-max\",maskMinOppAxisClassName:\"rangeslider-mask-min-opp-axis\",maskMaxOppAxisClassName:\"rangeslider-mask-max-opp-axis\",maskColor:\"rgba(0,0,0,0.4)\",maskOppAxisColor:\"rgba(0,0,0,0.2)\",slideBoxFill:\"transparent\",slideBoxCursor:\"ew-resize\",grabAreaFill:\"transparent\",grabAreaCursor:\"col-resize\",grabAreaWidth:10,handleWidth:4,handleRadius:1,handleStrokeWidth:1,extraPad:15}});var Ege=ye(SI=>{\"use strict\";var Vgt=hf(),Ggt=iu(),Sge=TI(),Hgt=Kh().LINE_SPACING,AI=Sge.name;function Mge(e){var t=e&&e[AI];return t&&t.visible}SI.isVisible=Mge;SI.makeData=function(e){for(var t=Vgt.list({_fullLayout:e},\"x\",!0),r=e.margin,n=[],i=0;i<t.length;i++){var a=t[i];if(Mge(a)){n.push(a);var o=a[AI];o._id=AI+a._id,o._height=(e.height-r.b-r.t)*o.thickness,o._offsetShift=Math.floor(o.borderwidth/2)}}e._rangeSliderData=n};SI.autoMarginOpts=function(e,t){var r=e._fullLayout,n=t[AI],i=t._id.charAt(0),a=0,o=0;if(t.side===\"bottom\"&&(a=t._depth,t.title.text!==r._dfltTitle[i])){o=1.5*t.title.font.size+10+n._offsetShift;var s=(t.title.text.match(Ggt.BR_TAG_ALL)||[]).length;o+=s*t.title.font.size*Hgt}return{x:0,y:t._counterDomainMin,l:0,r:0,t:0,b:n._height+a+Math.max(r.margin.b,o),pad:Sge.extraPad+n._offsetShift*2}}});var Pge=ye((csr,Lge)=>{\"use strict\";var MI=Dr(),Cge=pl(),kge=hf(),jgt=wI(),Wgt=$U();Lge.exports=function(t,r,n){var i=t[n],a=r[n];if(!(i.rangeslider||r._requestRangeslider[a._id]))return;MI.isPlainObject(i.rangeslider)||(i.rangeslider={});var o=i.rangeslider,s=Cge.newContainer(a,\"rangeslider\");function l(L,_){return MI.coerce(o,s,jgt,L,_)}var u,c;function f(L,_){return MI.coerce(u,c,Wgt,L,_)}var h=l(\"visible\");if(h){l(\"bgcolor\",r.plot_bgcolor),l(\"bordercolor\"),l(\"borderwidth\"),l(\"thickness\"),l(\"autorange\",!a.isValidRange(o.range)),l(\"range\");var d=r._subplots;if(d)for(var v=d.cartesian.filter(function(L){return L.substr(0,L.indexOf(\"y\"))===kge.name2id(n)}).map(function(L){return L.substr(L.indexOf(\"y\"),L.length)}),x=MI.simpleMap(v,kge.id2name),b=0;b<x.length;b++){var p=x[b];u=o[p]||{},c=Cge.newContainer(s,p,\"yaxis\");var C=r[p],E;u.range&&C.isValidRange(u.range)&&(E=\"fixed\");var A=f(\"rangemode\",E);A!==\"match\"&&f(\"range\",C.range.slice())}s._input=o}}});var Rge=ye((fsr,Ige)=>{\"use strict\";var Xgt=hf().list,Zgt=wg().getAutoRange,Ygt=TI();Ige.exports=function(t){for(var r=Xgt(t,\"x\",!0),n=0;n<r.length;n++){var i=r[n],a=i[Ygt.name];a&&a.visible&&a.autorange&&(a._input.autorange=!0,a._input.range=a.range=Zgt(t,i))}}});var Oge=ye((hsr,zge)=>{\"use strict\";var EI=Oa(),Kgt=qa(),Jgt=Mc(),Jf=Dr(),CI=Jf.strTranslate,Fge=So(),b_=Ca(),$gt=Mb(),Qgt=vh(),QU=hf(),emt=gv(),tmt=Tg(),il=TI();zge.exports=function(e){for(var t=e._fullLayout,r=t._rangeSliderData,n=0;n<r.length;n++){var i=r[n][il.name];i._clipId=i._id+\"-\"+t._uid}function a(s){return s._name}var o=t._infolayer.selectAll(\"g.\"+il.containerClassName).data(r,a);o.exit().each(function(s){var l=s[il.name];t._topdefs.select(\"#\"+l._clipId).remove()}).remove(),r.length!==0&&(o.enter().append(\"g\").classed(il.containerClassName,!0).attr(\"pointer-events\",\"all\"),o.each(function(s){var l=EI.select(this),u=s[il.name],c=t[QU.id2name(s.anchor)],f=u[QU.id2name(s.anchor)];if(u.range){var h=Jf.simpleMap(u.range,s.r2l),d=Jf.simpleMap(s.range,s.r2l),v;d[0]<d[1]?v=[Math.min(h[0],d[0]),Math.max(h[1],d[1])]:v=[Math.max(h[0],d[0]),Math.min(h[1],d[1])],u.range=u._input.range=Jf.simpleMap(v,s.l2r)}s.cleanRange(\"rangeslider.range\");var x=t._size,b=s.domain;u._width=x.w*(b[1]-b[0]);var p=Math.round(x.l+x.w*b[0]),C=Math.round(x.t+x.h*(1-s._counterDomainMin)+(s.side===\"bottom\"?s._depth:0)+u._offsetShift+il.extraPad);l.attr(\"transform\",CI(p,C)),u._rl=Jf.simpleMap(u.range,s.r2l);var E=u._rl[0],A=u._rl[1],L=A-E;if(u.p2d=function(G){return G/u._width*L+E},u.d2p=function(G){return(G-E)/L*u._width},s.rangebreaks){var _=s.locateBreaks(E,A);if(_.length){var k,M,g=0;for(k=0;k<_.length;k++)M=_[k],g+=M.max-M.min;var P=u._width/(A-E-g),T=[-P*E];for(k=0;k<_.length;k++)M=_[k],T.push(T[T.length-1]-P*(M.max-M.min));for(u.d2p=function(G){for(var Z=T[0],H=0;H<_.length;H++){var N=_[H];if(G>=N.max)Z=T[H+1];else if(G<N.min)break}return 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i=e.select(\"rect.\"+il.slideBoxClassName).node(),a=e.select(\"rect.\"+il.grabAreaMinClassName).node(),o=e.select(\"rect.\"+il.grabAreaMaxClassName).node();function s(){var l=EI.event,u=l.target,c=Dge(l),f=c-e.node().getBoundingClientRect().left,h=n.d2p(r._rl[0]),d=n.d2p(r._rl[1]),v=emt.coverSlip();this.addEventListener(\"touchmove\",x),this.addEventListener(\"touchend\",b),v.addEventListener(\"mousemove\",x),v.addEventListener(\"mouseup\",b);function x(p){var C=Dge(p),E=+C-c,A,L,_;switch(u){case i:if(_=\"ew-resize\",h+E>r._length||d+E<0)return;A=h+E,L=d+E;break;case a:if(_=\"col-resize\",h+E>r._length)return;A=h+E,L=d;break;case o:if(_=\"col-resize\",d+E<0)return;A=h,L=d+E;break;default:_=\"ew-resize\",A=f,L=f+E;break}if(L<A){var k=L;L=A,A=k}n._pixelMin=A,n._pixelMax=L,tmt(EI.select(v),_),imt(e,t,r,n)}function b(){v.removeEventListener(\"mousemove\",x),v.removeEventListener(\"mouseup\",b),this.removeEventListener(\"touchmove\",x),this.removeEventListener(\"touchend\",b),Jf.removeElement(v)}}e.on(\"mousedown\",s),e.on(\"touchstart\",s)}function imt(e,t,r,n){function i(s){return r.l2r(Jf.constrain(s,n._rl[0],n._rl[1]))}var a=i(n.p2d(n._pixelMin)),o=i(n.p2d(n._pixelMax));window.requestAnimationFrame(function(){Kgt.call(\"_guiRelayout\",t,r._name+\".range\",[a,o])})}function nmt(e,t,r,n,i,a){var o=il.handleWidth/2;function s(p){return Jf.constrain(p,0,n._width)}function l(p){return Jf.constrain(p,0,n._height)}function u(p){return Jf.constrain(p,-o,n._width+o)}var c=s(n.d2p(r._rl[0])),f=s(n.d2p(r._rl[1]));if(e.select(\"rect.\"+il.slideBoxClassName).attr(\"x\",c).attr(\"width\",f-c),e.select(\"rect.\"+il.maskMinClassName).attr(\"width\",c),e.select(\"rect.\"+il.maskMaxClassName).attr(\"x\",f).attr(\"width\",n._width-f),a.rangemode!==\"match\"){var h=n._height-l(n.d2pOppAxis(i._rl[1])),d=n._height-l(n.d2pOppAxis(i._rl[0]));e.select(\"rect.\"+il.maskMinOppAxisClassName).attr(\"x\",c).attr(\"height\",h).attr(\"width\",f-c),e.select(\"rect.\"+il.maskMaxOppAxisClassName).attr(\"x\",c).attr(\"y\",d).attr(\"height\",n._height-d).attr(\"width\",f-c),e.select(\"rect.\"+il.slideBoxClassName).attr(\"y\",h).attr(\"height\",d-h)}var v=.5,x=Math.round(u(c-o))-v,b=Math.round(u(f-o))+v;e.select(\"g.\"+il.grabberMinClassName).attr(\"transform\",CI(x,v)),e.select(\"g.\"+il.grabberMaxClassName).attr(\"transform\",CI(b,v))}function amt(e,t,r,n){var i=Jf.ensureSingle(e,\"rect\",il.bgClassName,function(l){l.attr({x:0,y:0,\"shape-rendering\":\"crispEdges\"})}),a=n.borderwidth%2===0?n.borderwidth:n.borderwidth-1,o=-n._offsetShift,s=Fge.crispRound(t,n.borderwidth);i.attr({width:n._width+a,height:n._height+a,transform:CI(o,o),\"stroke-width\":s}).call(b_.stroke,n.bordercolor).call(b_.fill,n.bgcolor)}function omt(e,t,r,n){var i=t._fullLayout,a=Jf.ensureSingleById(i._topdefs,\"clipPath\",n._clipId,function(o){o.append(\"rect\").attr({x:0,y:0})});a.select(\"rect\").attr({width:n._width,height:n._height})}function smt(e,t,r,n){var i=t.calcdata,a=e.selectAll(\"g.\"+il.rangePlotClassName).data(r._subplotsWith,Jf.identity);a.enter().append(\"g\").attr(\"class\",function(s){return il.rangePlotClassName+\" \"+s}).call(Fge.setClipUrl,n._clipId,t),a.order(),a.exit().remove();var o;a.each(function(s,l){var u=EI.select(this),c=l===0,f=QU.getFromId(t,s,\"y\"),h=f._name,d=n[h],v={data:[],layout:{xaxis:{type:r.type,domain:[0,1],range:n.range.slice(),calendar:r.calendar},width:n._width,height:n._height,margin:{t:0,b:0,l:0,r:0}},_context:t._context};r.rangebreaks&&(v.layout.xaxis.rangebreaks=r.rangebreaks),v.layout[h]={type:f.type,domain:[0,1],range:d.rangemode!==\"match\"?d.range.slice():f.range.slice(),calendar:f.calendar},f.rangebreaks&&(v.layout[h].rangebreaks=f.rangebreaks),Jgt.supplyDefaults(v);var x=v._fullLayout.xaxis,b=v._fullLayout[h];x.clearCalc(),x.setScale(),b.clearCalc(),b.setScale();var p={id:s,plotgroup:u,xaxis:x,yaxis:b,isRangePlot:!0};c?o=p:(p.mainplot=\"xy\",p.mainplotinfo=o),Qgt.rangePlot(t,p,lmt(i,s))})}function lmt(e,t){for(var r=[],n=0;n<e.length;n++){var i=e[n],a=i[0].trace;a.xaxis+a.yaxis===t&&r.push(i)}return r}function umt(e,t,r,n,i){var a=Jf.ensureSingle(e,\"rect\",il.maskMinClassName,function(u){u.attr({x:0,y:0,\"shape-rendering\":\"crispEdges\"})});a.attr(\"height\",n._height).call(b_.fill,il.maskColor);var o=Jf.ensureSingle(e,\"rect\",il.maskMaxClassName,function(u){u.attr({y:0,\"shape-rendering\":\"crispEdges\"})});if(o.attr(\"height\",n._height).call(b_.fill,il.maskColor),i.rangemode!==\"match\"){var s=Jf.ensureSingle(e,\"rect\",il.maskMinOppAxisClassName,function(u){u.attr({y:0,\"shape-rendering\":\"crispEdges\"})});s.attr(\"width\",n._width).call(b_.fill,il.maskOppAxisColor);var l=Jf.ensureSingle(e,\"rect\",il.maskMaxOppAxisClassName,function(u){u.attr({y:0,\"shape-rendering\":\"crispEdges\"})});l.attr(\"width\",n._width).style(\"border-top\",il.maskOppBorder).call(b_.fill,il.maskOppAxisColor)}}function cmt(e,t,r,n){if(!t._context.staticPlot){var i=Jf.ensureSingle(e,\"rect\",il.slideBoxClassName,function(a){a.attr({y:0,cursor:il.slideBoxCursor,\"shape-rendering\":\"crispEdges\"})});i.attr({height:n._height,fill:il.slideBoxFill})}}function fmt(e,t,r,n){var i=Jf.ensureSingle(e,\"g\",il.grabberMinClassName),a=Jf.ensureSingle(e,\"g\",il.grabberMaxClassName),o={x:0,width:il.handleWidth,rx:il.handleRadius,fill:b_.background,stroke:b_.defaultLine,\"stroke-width\":il.handleStrokeWidth,\"shape-rendering\":\"crispEdges\"},s={y:Math.round(n._height/4),height:Math.round(n._height/2)},l=Jf.ensureSingle(i,\"rect\",il.handleMinClassName,function(d){d.attr(o)});l.attr(s);var u=Jf.ensureSingle(a,\"rect\",il.handleMaxClassName,function(d){d.attr(o)});u.attr(s);var c={width:il.grabAreaWidth,x:0,y:0,fill:il.grabAreaFill,cursor:t._context.staticPlot?void 0:il.grabAreaCursor},f=Jf.ensureSingle(i,\"rect\",il.grabAreaMinClassName,function(d){d.attr(c)});f.attr(\"height\",n._height);var h=Jf.ensureSingle(a,\"rect\",il.grabAreaMaxClassName,function(d){d.attr(c)});h.attr(\"height\",n._height)}});var Bge=ye((dsr,qge)=>{\"use strict\";var hmt=Dr(),dmt=wI(),vmt=$U(),eV=Ege();qge.exports={moduleType:\"component\",name:\"rangeslider\",schema:{subplots:{xaxis:{rangeslider:hmt.extendFlat({},dmt,{yaxis:vmt})}}},layoutAttributes:wI(),handleDefaults:Pge(),calcAutorange:Rge(),draw:Oge(),isVisible:eV.isVisible,makeData:eV.makeData,autoMarginOpts:eV.autoMarginOpts}});var kI=ye((vsr,Uge)=>{\"use strict\";var 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Mme=ye((Csr,Sme)=>{\"use strict\";var c4=Dr(),Ame=mc().overrideAll,f4=uV(),$b={error_x:c4.extendFlat({},f4),error_y:c4.extendFlat({},f4)};delete $b.error_x.copy_zstyle;delete $b.error_y.copy_zstyle;delete $b.error_y.copy_ystyle;var h4={error_x:c4.extendFlat({},f4),error_y:c4.extendFlat({},f4),error_z:c4.extendFlat({},f4)};delete h4.error_x.copy_ystyle;delete h4.error_y.copy_ystyle;delete h4.error_z.copy_ystyle;delete h4.error_z.copy_zstyle;Sme.exports={moduleType:\"component\",name:\"errorbars\",schema:{traces:{scatter:$b,bar:$b,histogram:$b,scatter3d:Ame(h4,\"calc\",\"nested\"),scattergl:Ame($b,\"calc\",\"nested\")}},supplyDefaults:hme(),calc:mme(),makeComputeError:cV(),plot:xme(),style:Tme(),hoverInfo:eyt};function eyt(e,t,r){(t.error_y||{}).visible&&(r.yerr=e.yh-e.y,t.error_y.symmetric||(r.yerrneg=e.y-e.ys)),(t.error_x||{}).visible&&(r.xerr=e.xh-e.x,t.error_x.symmetric||(r.xerrneg=e.x-e.xs))}});var Cme=ye((ksr,Eme)=>{\"use strict\";Eme.exports={cn:{colorbar:\"colorbar\",cbbg:\"cbbg\",cbfill:\"cbfill\",cbfills:\"cbfills\",cbline:\"cbline\",cblines:\"cblines\",cbaxis:\"cbaxis\",cbtitleunshift:\"cbtitleunshift\",cbtitle:\"cbtitle\",cboutline:\"cboutline\",crisp:\"crisp\",jsPlaceholder:\"js-placeholder\"}}});var Fme=ye((Lsr,Dme)=>{\"use strict\";var T_=Oa(),dV=cd(),FI=Mc(),kme=qa(),Ry=ho(),DI=gv(),B0=Dr(),Ug=B0.strTranslate,Rme=Ao().extendFlat,vV=Tg(),Ng=So(),pV=Ca(),tyt=Mb(),ryt=iu(),iyt=Dv().flipScale,nyt=t4(),ayt=oI(),oyt=Rd(),gV=Kh(),Lme=gV.LINE_SPACING,Pme=gV.FROM_TL,Ime=gV.FROM_BR,gf=Cme().cn;function syt(e){var t=e._fullLayout,r=t._infolayer.selectAll(\"g.\"+gf.colorbar).data(lyt(e),function(n){return n._id});r.enter().append(\"g\").attr(\"class\",function(n){return n._id}).classed(gf.colorbar,!0),r.each(function(n){var i=T_.select(this);B0.ensureSingle(i,\"rect\",gf.cbbg),B0.ensureSingle(i,\"g\",gf.cbfills),B0.ensureSingle(i,\"g\",gf.cblines),B0.ensureSingle(i,\"g\",gf.cbaxis,function(o){o.classed(gf.crisp,!0)}),B0.ensureSingle(i,\"g\",gf.cbtitleunshift,function(o){o.append(\"g\").classed(gf.cbtitle,!0)}),B0.ensureSingle(i,\"rect\",gf.cboutline);var a=uyt(i,n,e);a&&a.then&&(e._promises||[]).push(a),e._context.edits.colorbarPosition&&cyt(i,n,e)}),r.exit().each(function(n){FI.autoMargin(e,n._id)}).remove(),r.order()}function lyt(e){var t=e._fullLayout,r=e.calcdata,n=[],i,a,o,s;function l(E){return Rme(E,{_fillcolor:null,_line:{color:null,width:null,dash:null},_levels:{start:null,end:null,size:null},_filllevels:null,_fillgradient:null,_zrange:null})}function u(){typeof s.calc==\"function\"?s.calc(e,o,i):(i._fillgradient=a.reversescale?iyt(a.colorscale):a.colorscale,i._zrange=[a[s.min],a[s.max]])}for(var c=0;c<r.length;c++){var f=r[c];if(o=f[0].trace,!!o._module){var h=o._module.colorbar;if(o.visible===!0&&h)for(var d=Array.isArray(h),v=d?h:[h],x=0;x<v.length;x++){s=v[x];var b=s.container;a=b?o[b]:o,a&&a.showscale&&(i=l(a.colorbar),i._id=\"cb\"+o.uid+(d&&b?\"-\"+b:\"\"),i._traceIndex=o.index,i._propPrefix=(b?b+\".\":\"\")+\"colorbar.\",i._meta=o._meta,u(),n.push(i))}}}for(var p in t._colorAxes)if(a=t[p],a.showscale){var C=t._colorAxes[p];i=l(a.colorbar),i._id=\"cb\"+p,i._propPrefix=p+\".colorbar.\",i._meta=t._meta,s={min:\"cmin\",max:\"cmax\"},C[0]!==\"heatmap\"&&(o=C[1],s.calc=o._module.colorbar.calc),u(),n.push(i)}return n}function uyt(e,t,r){var n=t.orientation===\"v\",i=t.len,a=t.lenmode,o=t.thickness,s=t.thicknessmode,l=t.outlinewidth,u=t.borderwidth,c=t.bgcolor,f=t.xanchor,h=t.yanchor,d=t.xpad,v=t.ypad,x=t.x,b=n?t.y:1-t.y,p=t.yref===\"paper\",C=t.xref===\"paper\",E=r._fullLayout,A=E._size,L=t._fillcolor,_=t._line,k=t.title,M=k.side,g=t._zrange||T_.extent((typeof L==\"function\"?L:_.color).domain()),P=typeof 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yt=e.select(\".\"+gf.cbfills).selectAll(\"rect.\"+gf.cbfill).attr(\"style\",\"\").data(V);yt.enter().append(\"rect\").classed(gf.cbfill,!0).attr(\"style\",\"\"),yt.exit().remove();var Yt=g.map(Le.c2p).map(Math.round).sort(function(Wr,Ur){return Wr-Ur});yt.each(function(Wr,Ur){var dt=[Ur===0?g[0]:(V[Ur]+V[Ur-1])/2,Ur===V.length-1?g[1]:(V[Ur]+V[Ur+1])/2].map(Le.c2p).map(Math.round);n&&(dt[1]=B0.constrain(dt[1]+(dt[1]>dt[0])?1:-1,Yt[0],Yt[1]));var Ge=T_.select(this).attr(n?\"x\":\"y\",_e).attr(n?\"y\":\"x\",T_.min(dt)).attr(n?\"width\":\"height\",Math.max(Z,2)).attr(n?\"height\":\"width\",Math.max(T_.max(dt)-T_.min(dt),2));if(t._fillgradient)Ng.gradient(Ge,r,t._id,n?\"vertical\":\"horizontalreversed\",t._fillgradient,\"fill\");else{var Je=T(Wr).replace(\"e-\",\"\");Ge.attr(\"fill\",dV(Je).toHexString())}});var lr=e.select(\".\"+gf.cblines).selectAll(\"path.\"+gf.cbline).data(_.color&&_.width?G:[]);lr.enter().append(\"path\").classed(gf.cbline,!0),lr.exit().remove(),lr.each(function(Wr){var Ur=_e,dt=Math.round(Le.c2p(Wr))+_.width/2%1;T_.select(this).attr(\"d\",\"M\"+(n?Ur+\",\"+dt:dt+\",\"+Ur)+(n?\"h\":\"v\")+Z).call(Ng.lineGroupStyle,_.width,P(Wr),_.dash)}),pt.selectAll(\"g.\"+Le._id+\"tick,path\").remove();var Tr=_e+Z+(l||0)/2-(t.ticks===\"outside\"?1:0),Rr=Ry.calcTicks(Le),ei=Ry.getTickSigns(Le)[2];return Ry.drawTicks(r,Le,{vals:Le.ticks===\"inside\"?Ry.clipEnds(Le,Rr):Rr,layer:pt,path:Ry.makeTickPath(Le,Tr,ei),transFn:Ry.makeTransTickFn(Le)}),Ry.drawLabels(r,Le,{vals:Rr,layer:pt,transFn:Ry.makeTransTickLabelFn(Le),labelFns:Ry.makeLabelFns(Le,Tr)})}function wr(){var ur,Qe=Z+l/2;Ze.indexOf(\"inside\")===-1&&(ur=Ng.bBox(pt.node()),Qe+=n?ur.width:ur.height),Wt=ce.select(\"text\");var Et=0,er=n&&M===\"top\",Ut=!n&&M===\"right\",Ft=0;if(Wt.node()&&!Wt.classed(gf.jsPlaceholder)){var bt,yt=ce.select(\".h\"+Le._id+\"title-math-group\").node();yt&&(n&&Ae||!n&&!Ae)?(ur=Ng.bBox(yt),Et=ur.width,bt=ur.height):(ur=Ng.bBox(ce.node()),Et=ur.right-A.l-(n?_e:Se),bt=ur.bottom-A.t-(n?Se:_e),!n&&M===\"top\"&&(Qe+=ur.height,Ft=ur.height)),Ut&&(Wt.attr(\"transform\",Ug(Et/2+ct/2,0)),Et*=2),Qe=Math.max(Qe,n?Et:bt)}var Yt=(n?d:v)*2+Qe+u+l/2,lr=0;!n&&k.text&&h===\"bottom\"&&b<=0&&(lr=Yt/2,Yt+=lr,Ft+=lr),E._hColorbarMoveTitle=lr,E._hColorbarMoveCBTitle=Ft;var Tr=u+l,Rr=(n?_e:Se)-Tr/2-(n?d:0),ei=(n?Se:_e)-(n?N:v+Ft-lr);e.select(\".\"+gf.cbbg).attr(\"x\",Rr).attr(\"y\",ei).attr(n?\"width\":\"height\",Math.max(Yt-lr,2)).attr(n?\"height\":\"width\",Math.max(N+Tr,2)).call(pV.fill,c).call(pV.stroke,t.bordercolor).style(\"stroke-width\",u);var Wr=Ut?Math.max(Et-10,0):0;e.selectAll(\".\"+gf.cboutline).attr(\"x\",(n?_e:Se+d)+Wr).attr(\"y\",(n?Se+v-N:_e)+(er?st:0)).attr(n?\"width\":\"height\",Math.max(Z,2)).attr(n?\"height\":\"width\",Math.max(N-(n?2*v+st:2*d+Wr),2)).call(pV.stroke,t.outlinecolor).style({fill:\"none\",\"stroke-width\":l});var Ur=n?Me*Yt:0,dt=n?0:(1-ke)*Yt-Ft;if(Ur=C?A.l-Ur:-Ur,dt=p?A.t-dt:-dt,e.attr(\"transform\",Ug(Ur,dt)),!n&&(u||dV(c).getAlpha()&&!dV.equals(E.paper_bgcolor,c))){var Ge=pt.selectAll(\"text\"),Je=Ge[0].length,je=e.select(\".\"+gf.cbbg).node(),$e=Ng.bBox(je),wt=Ng.getTranslate(e),Ie=2;Ge.each(function(fi,Hi){var Pn=0,wn=Je-1;if(Hi===Pn||Hi===wn){var pn=Ng.bBox(this),Vn=Ng.getTranslate(this),kn;if(Hi===wn){var ea=pn.right+Vn.x,ua=$e.right+wt.x+Se-u-Ie+x;kn=ua-ea,kn>0&&(kn=0)}else if(Hi===Pn){var Vt=pn.left+Vn.x,_t=$e.left+wt.x+Se+u+Ie;kn=_t-Vt,kn<0&&(kn=0)}kn&&(Je<3?this.setAttribute(\"transform\",\"translate(\"+kn+\",0) \"+this.getAttribute(\"transform\")):this.setAttribute(\"visibility\",\"hidden\"))}})}var xe={},Ce=Pme[f],vt=Ime[f],nr=Pme[h],ir=Ime[h],pr=Yt-Z;n?(a===\"pixels\"?(xe.y=b,xe.t=N*nr,xe.b=N*ir):(xe.t=xe.b=0,xe.yt=b+i*nr,xe.yb=b-i*ir),s===\"pixels\"?(xe.x=x,xe.l=Yt*Ce,xe.r=Yt*vt):(xe.l=pr*Ce,xe.r=pr*vt,xe.xl=x-o*Ce,xe.xr=x+o*vt)):(a===\"pixels\"?(xe.x=x,xe.l=N*Ce,xe.r=N*vt):(xe.l=xe.r=0,xe.xl=x+i*Ce,xe.xr=x-i*vt),s===\"pixels\"?(xe.y=1-b,xe.t=Yt*nr,xe.b=Yt*ir):(xe.t=pr*nr,xe.b=pr*ir,xe.yt=b-o*nr,xe.yb=b+o*ir));var oi=t.y<.5?\"b\":\"t\",di=t.x<.5?\"l\":\"r\";r._fullLayout._reservedMargin[t._id]={};var Jr={r:E.width-Rr-Ur,l:Rr+xe.r,b:E.height-ei-dt,t:ei+xe.b};C&&p?FI.autoMargin(r,t._id,xe):C?r._fullLayout._reservedMargin[t._id][oi]=Jr[oi]:p||n?r._fullLayout._reservedMargin[t._id][di]=Jr[di]:r._fullLayout._reservedMargin[t._id][oi]=Jr[oi]}return B0.syncOrAsync([FI.previousPromises,Nt,sr,$t,FI.previousPromises,wr],r)}function cyt(e,t,r){var n=t.orientation===\"v\",i=r._fullLayout,a=i._size,o,s,l;DI.init({element:e.node(),gd:r,prepFn:function(){o=e.attr(\"transform\"),vV(e)},moveFn:function(u,c){e.attr(\"transform\",o+Ug(u,c)),s=DI.align((n?t._uFrac:t._vFrac)+u/a.w,n?t._thickFrac:t._lenFrac,0,1,t.xanchor),l=DI.align((n?t._vFrac:1-t._uFrac)-c/a.h,n?t._lenFrac:t._thickFrac,0,1,t.yanchor);var f=DI.getCursor(s,l,t.xanchor,t.yanchor);vV(e,f)},doneFn:function(){if(vV(e),s!==void 0&&l!==void 0){var u={};u[t._propPrefix+\"x\"]=s,u[t._propPrefix+\"y\"]=l,t._traceIndex!==void 0?kme.call(\"_guiRestyle\",r,u,t._traceIndex):kme.call(\"_guiRelayout\",r,u)}}})}function fyt(e,t,r){var n=t._levels,i=[],a=[],o,s,l=n.end+n.size/100,u=n.size,c=1.001*r[0]-.001*r[1],f=1.001*r[1]-.001*r[0];for(s=0;s<1e5&&(o=n.start+s*u,!(u>0?o>=l:o<=l));s++)o>c&&o<f&&i.push(o);if(t._fillgradient)a=[0];else if(typeof t._fillcolor==\"function\"){var h=t._filllevels;if(h)for(l=h.end+h.size/100,u=h.size,s=0;s<1e5&&(o=h.start+s*u,!(u>0?o>=l:o<=l));s++)o>r[0]&&o<r[1]&&a.push(o);else a=i.map(function(d){return d-n.size/2}),a.push(a[a.length-1]+n.size)}else t._fillcolor&&typeof t._fillcolor==\"string\"&&(a=[0]);return n.size<0&&(i.reverse(),a.reverse()),{line:i,fill:a}}function hyt(e,t,r){var 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qI=ye((Vsr,uye)=>{\"use strict\";uye.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\"}}});var BI=ye((Gsr,hye)=>{\"use strict\";var Ryt=Ca(),cye=Dv().hasColorscale,fye=Jh(),Dyt=Dr().coercePattern;hye.exports=function(t,r,n,i,a){var o=n(\"marker.color\",i),s=cye(t,\"marker\");s&&fye(t,r,a,n,{prefix:\"marker.\",cLetter:\"c\"}),n(\"marker.line.color\",Ryt.defaultLine),cye(t,\"marker.line\")&&fye(t,r,a,n,{prefix:\"marker.line.\",cLetter:\"c\"}),n(\"marker.line.width\"),n(\"marker.opacity\"),Dyt(n,\"marker.pattern\",o,s),n(\"selected.marker.color\"),n(\"unselected.marker.color\")}});var r0=ye((Hsr,yye)=>{\"use strict\";var 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i=Qd.getValue(t.family,r),a=Qd.getValue(t.size,r),o=Qd.getValue(t.color,r),s=Qd.getValue(t.weight,r),l=Qd.getValue(t.style,r),u=Qd.getValue(t.variant,r),c=Qd.getValue(t.textcase,r),f=Qd.getValue(t.lineposition,r),h=Qd.getValue(t.shadow,r);return{family:Qd.coerceString(e.family,i,n.family),size:Qd.coerceNumber(e.size,a,n.size),color:Qd.coerceColor(e.color,o,n.color),weight:Qd.coerceString(e.weight,s,n.weight),style:Qd.coerceString(e.style,l,n.style),variant:Qd.coerceString(e.variant,u,n.variant),textcase:Qd.coerceString(e.variant,c,n.textcase),lineposition:Qd.coerceString(e.variant,f,n.lineposition),shadow:Qd.coerceString(e.variant,h,n.shadow)}}function Bye(e,t){return t.type===\"waterfall\"?t[e.dir].marker.color:e.mcc||e.mc||t.marker.color}Nye.exports={style:o1t,styleTextPoints:Dye,styleOnSelect:s1t,getInsideTextFont:Oye,getOutsideTextFont:qye,getBarColor:Bye,resizeText:Iye}});var i2=ye((Jsr,Zye)=>{\"use strict\";var 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me=_e>0&&Me>0,ie;g?M?ie=r2(N-2*u,j,_e,Me,E)||r2(N,j-2*u,_e,Me,E):E?ie=r2(N-(u-c),j,_e,Me,E)||r2(N,j-2*(u-c),_e,Me,E):ie=r2(N,j-(u-c),_e,Me,E)||r2(N-2*(u-c),j,_e,Me,E):ie=r2(N,j,_e,Me,E),me&&ie?b=\"inside\":(b=\"outside\",re.remove(),re=null)}else b=\"inside\";if(!re){ke=Fd.ensureUniformFontSize(e,b===\"outside\"?O:z),re=p(r,A,ke);var Se=re.attr(\"transform\");if(re.attr(\"transform\",\"\"),oe=A_.bBox(re.node()),_e=oe.width,Me=oe.height,re.attr(\"transform\",Se),_e<=0||Me<=0){re.remove();return}}var Le=C.textangle,Ae,De;b===\"outside\"?(De=C.constraintext===\"both\"||C.constraintext===\"outside\",Ae=S1t(a,o,s,l,oe,{isHorizontal:E,constrained:De,angle:Le})):(De=C.constraintext===\"both\"||C.constraintext===\"inside\",Ae=Xye(a,o,s,l,oe,{isHorizontal:E,constrained:De,angle:Le,anchor:V,hasB:M,r:u,overhead:c})),Ae.fontSize=ke.size,d1t(C.type===\"histogram\"?\"bar\":C.type,Ae,x),_.transform=Ae;var Pe=Gye(re,x,f,h);Fd.setTransormAndDisplay(Pe,Ae)}function r2(e,t,r,n,i){if(e<0||t<0)return!1;var a=r<=e&&n<=t,o=r<=t&&n<=e,s=i?e>=r*(t/n):t>=n*(e/r);return a||o||s}function jye(e){return e===\"auto\"?0:e}function Wye(e,t){var r=Math.PI/180*t,n=Math.abs(Math.sin(r)),i=Math.abs(Math.cos(r));return{x:e.width*i+e.height*n,y:e.width*n+e.height*i}}function Xye(e,t,r,n,i,a){var o=!!a.isHorizontal,s=!!a.constrained,l=a.angle||0,u=a.anchor,c=u===\"end\",f=u===\"start\",h=a.leftToRight||0,d=(h+1)/2,v=1-d,x=a.hasB,b=a.r,p=a.overhead,C=i.width,E=i.height,A=Math.abs(t-e),L=Math.abs(n-r),_=A>2*Uv&&L>2*Uv?Uv:0;A-=2*_,L-=2*_;var k=jye(l);l===\"auto\"&&!(C<=A&&E<=L)&&(C>A||E>L)&&(!(C>L||E>A)||C<E!=A<L)&&(k+=90);var M=Wye(i,k),g,P;if(b&&b-p>Uv){var T=A1t(e,t,r,n,M,b,p,o,x);g=T.scale,P=T.pad}else g=1,s&&(g=Math.min(1,A/M.x,L/M.y)),P=0;var z=i.left*v+i.right*d,O=(i.top+i.bottom)/2,V=(e+Uv)*v+(t-Uv)*d,G=(r+n)/2,Z=0,H=0;if(f||c){var N=(o?M.x:M.y)/2;b&&(c||x)&&(_+=P);var j=o?Pm(e,t):Pm(r,n);o?f?(V=e+j*_,Z=-j*N):(V=t-j*_,Z=j*N):f?(G=r+j*_,H=-j*N):(G=n-j*_,H=j*N)}return{textX:z,textY:O,targetX:V,targetY:G,anchorX:Z,anchorY:H,scale:g,rotate:k}}function A1t(e,t,r,n,i,a,o,s,l){var u=Math.max(0,Math.abs(t-e)-2*Uv),c=Math.max(0,Math.abs(n-r)-2*Uv),f=a-Uv,h=o?f-Math.sqrt(f*f-(f-o)*(f-o)):f,d=l?f*2:s?f-o:2*h,v=l?f*2:s?2*h:f-o,x,b,p,C,E;return i.y/i.x>=c/(u-d)?C=c/i.y:i.y/i.x<=(c-v)/u?C=u/i.x:!l&&s?(x=i.x*i.x+i.y*i.y/4,b=-2*i.x*(u-f)-i.y*(c/2-f),p=(u-f)*(u-f)+(c/2-f)*(c/2-f)-f*f,C=(-b+Math.sqrt(b*b-4*x*p))/(2*x)):l?(x=(i.x*i.x+i.y*i.y)/4,b=-i.x*(u/2-f)-i.y*(c/2-f),p=(u/2-f)*(u/2-f)+(c/2-f)*(c/2-f)-f*f,C=(-b+Math.sqrt(b*b-4*x*p))/(2*x)):(x=i.x*i.x/4+i.y*i.y,b=-i.x*(u/2-f)-2*i.y*(c-f),p=(u/2-f)*(u/2-f)+(c-f)*(c-f)-f*f,C=(-b+Math.sqrt(b*b-4*x*p))/(2*x)),C=Math.min(1,C),s?E=Math.max(0,f-Math.sqrt(Math.max(0,f*f-(f-(c-i.y*C)/2)*(f-(c-i.y*C)/2)))-o):E=Math.max(0,f-Math.sqrt(Math.max(0,f*f-(f-(u-i.x*C)/2)*(f-(u-i.x*C)/2)))-o),{scale:C,pad:E}}function S1t(e,t,r,n,i,a){var o=!!a.isHorizontal,s=!!a.constrained,l=a.angle||0,u=i.width,c=i.height,f=Math.abs(t-e),h=Math.abs(n-r),d;o?d=h>2*Uv?Uv:0:d=f>2*Uv?Uv:0;var v=1;s&&(v=o?Math.min(1,h/c):Math.min(1,f/u));var x=jye(l),b=Wye(i,x),p=(o?b.x:b.y)/2,C=(i.left+i.right)/2,E=(i.top+i.bottom)/2,A=(e+t)/2,L=(r+n)/2,_=0,k=0,M=o?Pm(t,e):Pm(r,n);return o?(A=t-M*d,_=M*p):(L=n+M*d,k=-M*p),{textX:C,textY:E,targetX:A,targetY:L,anchorX:_,anchorY:k,scale:v,rotate:x}}function M1t(e,t,r,n,i){var a=t[0].trace,o=a.texttemplate,s;return o?s=C1t(e,t,r,n,i):a.textinfo?s=k1t(t,r,n,i):s=wT.getValue(a.text,r),wT.coerceString(g1t,s)}function E1t(e,t){var r=wT.getValue(e.textposition,t);return wT.coerceEnumerated(m1t,r)}function C1t(e,t,r,n,i){var a=t[0].trace,o=Fd.castOption(a,r,\"texttemplate\");if(!o)return\"\";var s=a.type===\"histogram\",l=a.type===\"waterfall\",u=a.type===\"funnel\",c=a.orientation===\"h\",f,h,d,v;c?(f=\"y\",h=i,d=\"x\",v=n):(f=\"x\",h=n,d=\"y\",v=i);function x(_){return 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       "`));var ke;L.med!==i0?ke=L.med:L.q1!==i0?L.q3!==i0?ke=(L.q1+L.q3)/2:ke=L.q1:L.q3!==i0?ke=L.q3:ke=0,L.med=ke,L.q1=L.q3=ke,L.lf=L.uf=ke,L.mean=L.sd=ke,L.ln=L.un=ke,L.min=L.max=ke}V=Math.min(V,L.min),G=Math.max(G,L.max),L.pts2=_.filter(T),o.push(L)}}r._extremes[c._id]=WI.findExtremes(c,[V,G],{padded:!0})}else{var me=c.makeCalcdata(r,f),ie=J1t(E,A),Se=E.length,Le=$1t(Se);for(l=0;l<r._length;l++)if(P=me[l],!!kV(P)){var Ae=ph.findBin(b[l],ie);Ae>=0&&Ae<Se&&(g={v:P,i:l},m1e(g,r,l),Le[Ae].push(g))}var De=1/0,Pe=-1/0,ge=r.quartilemethod,Fe=ge===\"exclusive\",ce=ge===\"inclusive\";for(l=0;l<Se;l++)if(Le[l].length>0){if(L={},L.pos=L[d]=E[l],_=L.pts=Le[l].sort(y1e),k=L[f]=_.map(_1e),M=k.length,L.min=k[0],L.max=k[M-1],L.mean=ph.mean(k,M),L.sd=ph.stdev(k,M,L.mean)*r.sdmultiple,L.med=ph.interp(k,.5),M%2&&(Fe||ce)){var Ze,ct;Fe?(Ze=k.slice(0,M/2),ct=k.slice(M/2+1)):ce&&(Ze=k.slice(0,M/2+1),ct=k.slice(M/2)),L.q1=ph.interp(Ze,.5),L.q3=ph.interp(ct,.5)}else L.q1=ph.interp(k,.25),L.q3=ph.interp(k,.75);L.lf=x1e(L,k,M),L.uf=b1e(L,k,M),L.lo=w1e(L),L.uo=T1e(L);var pt=A1e(L,M);L.ln=L.med-pt,L.un=L.med+pt,De=Math.min(De,L.ln),Pe=Math.max(Pe,L.un),L.pts2=_.filter(T),o.push(L)}r.notched&&ph.isTypedArray(me)&&(me=Array.from(me)),r._extremes[c._id]=WI.findExtremes(c,r.notched?me.concat([De,Pe]):me,{padded:!0})}return Q1t(o,r),o.length>0?(o[0].t={num:n[s],dPos:A,posLetter:d,valLetter:f,labels:{med:zy(t,\"median:\"),min:zy(t,\"min:\"),q1:zy(t,\"q1:\"),q3:zy(t,\"q3:\"),max:zy(t,\"max:\"),mean:r.boxmean===\"sd\"||r.sizemode===\"sd\"?zy(t,\"mean \\xB1 \\u03C3:\").replace(\"\\u03C3\",r.sdmultiple===1?\"\\u03C3\":r.sdmultiple+\"\\u03C3\"):zy(t,\"mean:\"),lf:zy(t,\"lower fence:\"),uf:zy(t,\"upper fence:\")}},n[s]++,o):[{t:{empty:!0}}]};function K1t(e,t,r,n){var i=t in e,a=t+\"0\"in e,o=\"d\"+t in e;if(i||a&&o){var s=r.makeCalcdata(e,t),l=Y1t(e,r,t,s).vals;return[l,s]}var u;a?u=e[t+\"0\"]:\"name\"in e&&(r.type===\"category\"||kV(e.name)&&[\"linear\",\"log\"].indexOf(r.type)!==-1||ph.isDateTime(e.name)&&r.type===\"date\")?u=e.name:u=n;for(var c=r.type===\"multicategory\"?r.r2c_just_indices(u):r.d2c(u,0,e[t+\"calendar\"]),f=e._length,h=new Array(f),d=0;d<f;d++)h[d]=c;return[h]}function J1t(e,t){for(var r=e.length,n=new Array(r+1),i=0;i<r;i++)n[i]=e[i]-t;return n[r]=e[r-1]+t,n}function $1t(e){for(var t=new Array(e),r=0;r<e;r++)t[r]=[];return t}var CV={text:\"tx\",hovertext:\"htx\"};function m1e(e,t,r){for(var n in CV)ph.isArrayOrTypedArray(t[n])&&(Array.isArray(r)?ph.isArrayOrTypedArray(t[n][r[0]])&&(e[CV[n]]=t[n][r[0]][r[1]]):e[CV[n]]=t[n][r])}function Q1t(e,t){if(ph.isArrayOrTypedArray(t.selectedpoints))for(var r=0;r<e.length;r++){for(var n=e[r].pts||[],i={},a=0;a<n.length;a++)i[n[a].i]=a;ph.tagSelected(n,t,i)}}function y1e(e,t){return e.v-t.v}function _1e(e){return e.v}function x1e(e,t,r){return 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d=e_t.distinctVals(f);(n.type===\"category\"||n.type===\"multicategory\")&&(d.minDiff=1);var v=d.minDiff/2;M1e.minDtick(n,d.minDiff,d.vals[0],!0);var x=e===\"violin\"?\"_numViolins\":\"_numBoxes\",b=a[x],p=a[e+\"mode\"]===\"group\"&&b>1,C=1-a[e+\"gap\"],E=1-a[e+\"groupgap\"];for(l=0;l<r.length;l++){c=i[r[l]];var A=c[0].trace,L=c[0].t,_=A.width,k=A.side,M,g,P,T;if(_)M=g=T=_/2,P=0;else if(M=v,p){var z=t_t(a,n._id)+A.orientation,O=a._alignmentOpts[z]||{},V=O[A.alignmentgroup]||{},G=Object.keys(V.offsetGroups||{}).length,Z=G||b,H=G?A._offsetIndex:L.num;g=M*C*E/Z,P=2*M*(-.5+(H+.5)/Z)*C,T=M*C/Z}else g=M*C*E,P=0,T=M;L.dPos=M,L.bPos=P,L.bdPos=g,L.wHover=T;var N,j,re=P+g,oe,_e,Me,ke,me,ie,Se=!!_,Le=(A.boxpoints||A.points)&&h>0;if(k===\"positive\"?(N=M*(_?1:.5),oe=re,j=oe=P):k===\"negative\"?(N=oe=P,j=M*(_?1:.5),_e=re):(N=j=M,oe=_e=re),Le){var Ae=A.pointpos,De=A.jitter,Pe=A.marker.size/2,ge=0;Ae+De>=0&&(ge=re*(Ae+De),ge>N?(Se=!0,me=Pe,Me=ge):ge>oe&&(me=Pe,Me=N)),ge<=N&&(Me=N);var 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h.forEach(function(d){d.t=n,d.trace=r}),h},c=e.selectAll(\"g.points\").data(l?u:[]);c.enter().append(\"g\").attr(\"class\",\"points\"),c.exit().remove();var f=c.selectAll(\"path\").data(function(h){var d,v=h.pts2,x=Math.max((h.max-h.min)/10,h.q3-h.q1),b=x*1e-9,p=x*n_t,C=[],E=0,A;if(r.jitter){if(x===0)for(E=1,C=new Array(v.length),d=0;d<v.length;d++)C[d]=1;else for(d=0;d<v.length;d++){var L=Math.max(0,d-L1e),_=v[L].v,k=Math.min(v.length-1,d+L1e),M=v[k].v;l!==\"all\"&&(v[d].v<h.lf?M=Math.min(M,h.lf):_=Math.max(_,h.uf));var g=Math.sqrt(p*(k-L)/(M-_+b))||0;g=n2.constrain(Math.abs(g),0,1),C.push(g),E=Math.max(g,E)}A=r.jitter*2/(E||1)}for(d=0;d<v.length;d++){var P=v[d],T=P.v,z=r.jitter?A*C[d]*(n2.pseudoRandom()-.5):0,O=h.pos+s+o*(r.pointpos+z);r.orientation===\"h\"?(P.y=O,P.x=T):(P.x=O,P.y=T),l===\"suspectedoutliers\"&&T<h.uo&&T>h.lo&&(P.so=!0)}return v});f.enter().append(\"path\").classed(\"point\",!0),f.exit().remove(),f.call(i_t.translatePoints,i,a)}function R1e(e,t,r,n){var i=t.val,a=t.pos,o=!!a.rangebreaks,s=n.bPos,l=n.bPosPxOffset||0,u=r.boxmean||(r.meanline||{}).visible,c,f;Array.isArray(n.bdPos)?(c=n.bdPos[0],f=n.bdPos[1]):(c=n.bdPos,f=n.bdPos);var h=e.selectAll(\"path.mean\").data(r.type===\"box\"&&r.boxmean||r.type===\"violin\"&&r.box.visible&&r.meanline.visible?n2.identity:[]);h.enter().append(\"path\").attr(\"class\",\"mean\").style({fill:\"none\",\"vector-effect\":\"non-scaling-stroke\"}),h.exit().remove(),h.each(function(d){var v=a.c2l(d.pos+s,!0),x=a.l2p(v-c)+l,b=a.l2p(v+f)+l,p=o?(x+b)/2:a.l2p(v)+l,C=i.c2p(d.mean,!0),E=i.c2p(d.mean-d.sd,!0),A=i.c2p(d.mean+d.sd,!0);r.orientation===\"h\"?MT.select(this).attr(\"d\",\"M\"+C+\",\"+x+\"V\"+b+(u===\"sd\"?\"m0,0L\"+E+\",\"+p+\"L\"+C+\",\"+x+\"L\"+A+\",\"+p+\"Z\":\"\")):MT.select(this).attr(\"d\",\"M\"+x+\",\"+C+\"H\"+b+(u===\"sd\"?\"m0,0L\"+p+\",\"+E+\"L\"+x+\",\"+C+\"L\"+p+\",\"+A+\"Z\":\"\"))})}D1e.exports={plot:a_t,plotBoxAndWhiskers:P1e,plotPoints:I1e,plotBoxMean:R1e}});var YI=ye((clr,F1e)=>{\"use 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i,a,o,s,l;for(r=r||.01,n=n||.01,o=0;o<t.length;o++){for(s=t[o],l=0;l<s.starts.length;l++)a=s.starts[l],nbe(s,a,\"edge\",r,n);for(i=0;Object.keys(s.crossings).length&&i<1e4;)i++,a=Object.keys(s.crossings)[0].split(\",\").map(Number),nbe(s,a,void 0,r,n);i===1e4&&A8.log(\"Infinite loop in contour?\")}};function L4(e,t,r,n){return Math.abs(e[0]-t[0])<r&&Math.abs(e[1]-t[1])<n}function tbt(e,t){var r=e[2]-t[2],n=e[3]-t[3];return Math.sqrt(r*r+n*n)}function nbe(e,t,r,n,i){var a=t.join(\",\"),o=e.crossings[a],s=rbt(o,r,t),l=[abe(e,t,[-s[0],-s[1]])],u=e.z.length,c=e.z[0].length,f=t.slice(),h=s.slice(),d;for(d=0;d<1e4;d++){if(o>20?(o=RT.CHOOSESADDLE[o][(s[0]||s[1])<0?0:1],e.crossings[a]=RT.SADDLEREMAINDER[o]):delete e.crossings[a],s=RT.NEWDELTA[o],!s){A8.log(\"Found bad marching index:\",o,t,e.level);break}l.push(abe(e,t,s)),t[0]+=s[0],t[1]+=s[1],a=t.join(\",\"),L4(l[l.length-1],l[l.length-2],n,i)&&l.pop();var 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Lbe=ye((Aur,kbe)=>{\"use strict\";kbe.exports={attributes:sG(),supplyDefaults:Kxe(),crossTraceDefaults:g8(),calc:hG(),plot:S8().plot,layerName:\"contourlayer\",style:E8(),colorbar:C8(),hoverPoints:wG(),moduleType:\"trace\",name:\"histogram2dcontour\",basePlotModule:vh(),categories:[\"cartesian\",\"svg\",\"2dMap\",\"contour\",\"histogram\",\"showLegend\"],meta:{}}});var Ibe=ye((Sur,Pbe)=>{\"use strict\";Pbe.exports=Lbe()});var TG=ye((Mur,qbe)=>{\"use strict\";var Rbe=Eo(),Abt=lG(),zbe=Ca(),Dbe=zbe.addOpacity,Sbt=zbe.opacity,Obe=_8(),Fbe=Dr().isArrayOrTypedArray,Mbt=Obe.CONSTRAINT_REDUCTION,Ebt=Obe.COMPARISON_OPS2;qbe.exports=function(t,r,n,i,a,o){var s=r.contours,l,u,c,f=n(\"contours.operation\");if(s._operation=Mbt[f],Cbt(n,s),f===\"=\"?l=s.showlines=!0:(l=n(\"contours.showlines\"),c=n(\"fillcolor\",Dbe((t.line||{}).color||a,.5))),l){var h=c&&Sbt(c)?Dbe(r.fillcolor,1):a;u=n(\"line.color\",h),n(\"line.width\",2),n(\"line.dash\")}n(\"line.smoothing\"),Abt(n,i,u,o)};function Cbt(e,t){var 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Jbe=ye((Pur,Kbe)=>{\"use strict\";var Zbe=Dr(),Ubt=Sm(),FT=Ru(),Vbt=$p(),Gbt=R0(),Ybe=J3(),Hbt=D0(),jbt=Ig(),Wbt=SG();Kbe.exports=function(t,r,n,i){function a(h,d){return Zbe.coerce(t,r,Wbt,h,d)}var o=a(\"a\"),s=a(\"b\"),l=a(\"c\"),u;if(o?(u=o.length,s?(u=Math.min(u,s.length),l&&(u=Math.min(u,l.length))):l?u=Math.min(u,l.length):u=0):s&&l&&(u=Math.min(s.length,l.length)),!u){r.visible=!1;return}r._length=u,a(\"sum\"),a(\"text\"),a(\"hovertext\"),r.hoveron!==\"fills\"&&a(\"hovertemplate\");var c=u<Ubt.PTS_LINESONLY?\"lines+markers\":\"lines\";a(\"mode\",c),FT.hasMarkers(r)&&Vbt(t,r,n,i,a,{gradient:!0}),FT.hasLines(r)&&(Gbt(t,r,n,i,a,{backoff:!0}),Ybe(t,r,a),a(\"connectgaps\")),FT.hasText(r)&&(a(\"texttemplate\"),Hbt(t,r,i,a));var f=[];(FT.hasMarkers(r)||FT.hasText(r))&&(a(\"cliponaxis\"),a(\"marker.maxdisplayed\"),f.push(\"points\")),a(\"fill\"),r.fill!==\"none\"&&(jbt(t,r,n,a),FT.hasLines(r)||Ybe(t,r,a)),(r.fill===\"tonext\"||r.fill===\"toself\")&&f.push(\"fills\"),a(\"hoveron\",f.join(\"+\")||\"points\"),Zbe.coerceSelectionMarkerOpacity(r,a)}});var Qbe=ye((Iur,$be)=>{\"use strict\";var MG=ho();$be.exports=function(t,r,n){var i={},a=n[r.subplot]._subplot;return i.aLabel=MG.tickText(a.aaxis,t.a,!0).text,i.bLabel=MG.tickText(a.baxis,t.b,!0).text,i.cLabel=MG.tickText(a.caxis,t.c,!0).text,i}});var i2e=ye((Rur,r2e)=>{\"use strict\";var EG=Eo(),Xbt=F0(),Zbt=Cm(),Ybt=z0(),Kbt=O0().calcMarkerSize,e2e=[\"a\",\"b\",\"c\"],t2e={a:[\"b\",\"c\"],b:[\"a\",\"c\"],c:[\"a\",\"b\"]};r2e.exports=function(t,r){var n=t._fullLayout[r.subplot],i=n.sum,a=r.sum||i,o={a:r.a,b:r.b,c:r.c},s=r.ids,l,u,c,f,h,d;for(l=0;l<e2e.length;l++)if(c=e2e[l],!o[c]){for(h=o[t2e[c][0]],d=o[t2e[c][1]],f=new 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o.x0=Math.max(Math.min(o.x0,c),u),o.x1=Math.max(Math.min(o.x1,c),u),a}var f=o.cd[o.index],h=o.trace,d=o.subplot;o.a=f.a,o.b=f.b,o.c=f.c,o.xLabelVal=void 0,o.yLabelVal=void 0;var v={};v[h.subplot]={_subplot:d};var x=h._module.formatLabels(f,h,v);o.aLabel=x.aLabel,o.bLabel=x.bLabel,o.cLabel=x.cLabel;var b=f.hi||h.hoverinfo,p=[];function C(A,L){p.push(A._hovertitle+\": \"+L)}if(!h.hovertemplate){var E=b.split(\"+\");E.indexOf(\"all\")!==-1&&(E=[\"a\",\"b\",\"c\"]),E.indexOf(\"a\")!==-1&&C(d.aaxis,o.aLabel),E.indexOf(\"b\")!==-1&&C(d.baxis,o.bLabel),E.indexOf(\"c\")!==-1&&C(d.caxis,o.cLabel)}return o.extraText=p.join(\"<br>\"),o.hovertemplate=h.hovertemplate,a}});var u2e=ye((zur,l2e)=>{\"use strict\";l2e.exports=function(t,r,n,i,a){if(r.xa&&(t.xaxis=r.xa),r.ya&&(t.yaxis=r.ya),i[a]){var o=i[a];t.a=o.a,t.b=o.b,t.c=o.c}else t.a=r.a,t.b=r.b,t.c=r.c;return t}});var x2e=ye((Our,_2e)=>{\"use strict\";var p2e=Oa(),Qbt=cd(),CG=qa(),By=Dr(),Dm=By.strTranslate,L8=By._,OT=Ca(),P8=So(),D4=ym(),kG=Ao().extendFlat,e2t=Mc(),C_=ho(),c2e=gv(),f2e=vf(),g2e=Sg(),h2e=g2e.freeMode,t2t=g2e.rectMode,LG=Mb(),r2t=zf().prepSelect,i2t=zf().selectOnClick,n2t=zf().clearOutline,a2t=zf().clearSelectionsCache,m2e=hd();function y2e(e,t){this.id=e.id,this.graphDiv=e.graphDiv,this.init(t),this.makeFramework(t),this.updateFx(t),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}_2e.exports=y2e;var Fm=y2e.prototype;Fm.init=function(e){this.container=e._ternarylayer,this.defs=e._defs,this.layoutId=e._uid,this.traceHash={},this.layers={}};Fm.plot=function(e,t){var r=this,n=t[r.id],i=t._size;r._hasClipOnAxisFalse=!1;for(var a=0;a<e.length;a++){var o=e[a][0].trace;if(o.cliponaxis===!1){r._hasClipOnAxisFalse=!0;break}}r.updateLayers(n),r.adjustLayout(n,i),e2t.generalUpdatePerTraceModule(r.graphDiv,r,e,n),r.layers.plotbg.select(\"path\").call(OT.fill,n.bgcolor)};Fm.makeFramework=function(e){var t=this,r=t.graphDiv,n=e[t.id],i=t.clipId=\"clip\"+t.layoutId+t.id,a=t.clipIdRelative=\"clip-relative\"+t.layoutId+t.id;t.clipDef=By.ensureSingleById(e._clips,\"clipPath\",i,function(o){o.append(\"path\").attr(\"d\",\"M0,0Z\")}),t.clipDefRelative=By.ensureSingleById(e._clips,\"clipPath\",a,function(o){o.append(\"path\").attr(\"d\",\"M0,0Z\")}),t.plotContainer=By.ensureSingle(t.container,\"g\",t.id),t.updateLayers(n),P8.setClipUrl(t.layers.backplot,i,r),P8.setClipUrl(t.layers.grids,i,r)};Fm.updateFx=function(e){e._ternarylayer.selectAll(\"g.toplevel\").style(\"cursor\",e.dragmode===\"pan\"?\"move\":\"crosshair\")};Fm.updateLayers=function(e){var t=this,r=t.layers,n=[\"draglayer\",\"plotbg\",\"backplot\",\"grids\"];e.aaxis.layer===\"below traces\"&&n.push(\"aaxis\",\"aline\"),e.baxis.layer===\"below traces\"&&n.push(\"baxis\",\"bline\"),e.caxis.layer===\"below traces\"&&n.push(\"caxis\",\"cline\"),n.push(\"frontplot\"),e.aaxis.layer===\"above traces\"&&n.push(\"aaxis\",\"aline\"),e.baxis.layer===\"above traces\"&&n.push(\"baxis\",\"bline\"),e.caxis.layer===\"above traces\"&&n.push(\"caxis\",\"cline\");var i=t.plotContainer.selectAll(\"g.toplevel\").data(n,String),a=[\"agrid\",\"bgrid\",\"cgrid\"];i.enter().append(\"g\").attr(\"class\",function(o){return\"toplevel \"+o}).each(function(o){var s=p2e.select(this);r[o]=s,o===\"frontplot\"?s.append(\"g\").classed(\"scatterlayer\",!0):o===\"backplot\"?s.append(\"g\").classed(\"maplayer\",!0):o===\"plotbg\"?s.append(\"path\").attr(\"d\",\"M0,0Z\"):o===\"aline\"||o===\"bline\"||o===\"cline\"?s.append(\"path\"):o===\"grids\"&&a.forEach(function(l){r[l]=s.append(\"g\").classed(\"grid \"+l,!0)})}),i.order()};var zT=Math.sqrt(4/3);Fm.adjustLayout=function(e,t){var r=this,n=e.domain,i=(n.x[0]+n.x[1])/2,a=(n.y[0]+n.y[1])/2,o=n.x[1]-n.x[0],s=n.y[1]-n.y[0],l=o*t.w,u=s*t.h,c=e.sum,f=e.aaxis.min,h=e.baxis.min,d=e.caxis.min,v,x,b,p,C,E;l>zT*u?(p=u,b=p*zT):(b=l,p=b/zT),C=o*b/l,E=s*p/u,v=t.l+t.w*i-b/2,x=t.t+t.h*(1-a)-p/2,r.x0=v,r.y0=x,r.w=b,r.h=p,r.sum=c,r.xaxis={type:\"linear\",range:[f+2*d-c,c-f-2*h],domain:[i-C/2,i+C/2],_id:\"x\"},D4(r.xaxis,r.graphDiv._fullLayout),r.xaxis.setScale(),r.xaxis.isPtWithinRange=function(V){return V.a>=r.aaxis.range[0]&&V.a<=r.aaxis.range[1]&&V.b>=r.baxis.range[1]&&V.b<=r.baxis.range[0]&&V.c>=r.caxis.range[1]&&V.c<=r.caxis.range[0]},r.yaxis={type:\"linear\",range:[f,c-h-d],domain:[a-E/2,a+E/2],_id:\"y\"},D4(r.yaxis,r.graphDiv._fullLayout),r.yaxis.setScale(),r.yaxis.isPtWithinRange=function(){return!0};var A=r.yaxis.domain[0],L=r.aaxis=kG({},e.aaxis,{range:[f,c-h-d],side:\"left\",tickangle:(+e.aaxis.tickangle||0)-30,domain:[A,A+E*zT],anchor:\"free\",position:0,_id:\"y\",_length:b});D4(L,r.graphDiv._fullLayout),L.setScale();var _=r.baxis=kG({},e.baxis,{range:[c-f-d,h],side:\"bottom\",domain:r.xaxis.domain,anchor:\"free\",position:0,_id:\"x\",_length:b});D4(_,r.graphDiv._fullLayout),_.setScale();var k=r.caxis=kG({},e.caxis,{range:[c-f-h,d],side:\"right\",tickangle:(+e.caxis.tickangle||0)+30,domain:[A,A+E*zT],anchor:\"free\",position:0,_id:\"y\",_length:b});D4(k,r.graphDiv._fullLayout),k.setScale();var M=\"M\"+v+\",\"+(x+p)+\"h\"+b+\"l-\"+b/2+\",-\"+p+\"Z\";r.clipDef.select(\"path\").attr(\"d\",M),r.layers.plotbg.select(\"path\").attr(\"d\",M);var g=\"M0,\"+p+\"h\"+b+\"l-\"+b/2+\",-\"+p+\"Z\";r.clipDefRelative.select(\"path\").attr(\"d\",g);var P=Dm(v,x);r.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",P),r.clipDefRelative.select(\"path\").attr(\"transform\",null);var T=Dm(v-_._offset,x+p);r.layers.baxis.attr(\"transform\",T),r.layers.bgrid.attr(\"transform\",T);var z=Dm(v+b/2,x)+\"rotate(30)\"+Dm(0,-L._offset);r.layers.aaxis.attr(\"transform\",z),r.layers.agrid.attr(\"transform\",z);var O=Dm(v+b/2,x)+\"rotate(-30)\"+Dm(0,-k._offset);r.layers.caxis.attr(\"transform\",O),r.layers.cgrid.attr(\"transform\",O),r.drawAxes(!0),r.layers.aline.select(\"path\").attr(\"d\",L.showline?\"M\"+v+\",\"+(x+p)+\"l\"+b/2+\",-\"+p:\"M0,0\").call(OT.stroke,L.linecolor||\"#000\").style(\"stroke-width\",(L.linewidth||0)+\"px\"),r.layers.bline.select(\"path\").attr(\"d\",_.showline?\"M\"+v+\",\"+(x+p)+\"h\"+b:\"M0,0\").call(OT.stroke,_.linecolor||\"#000\").style(\"stroke-width\",(_.linewidth||0)+\"px\"),r.layers.cline.select(\"path\").attr(\"d\",k.showline?\"M\"+(v+b/2)+\",\"+x+\"l\"+b/2+\",\"+p:\"M0,0\").call(OT.stroke,k.linecolor||\"#000\").style(\"stroke-width\",(k.linewidth||0)+\"px\"),r.graphDiv._context.staticPlot||r.initInteractions(),P8.setClipUrl(r.layers.frontplot,r._hasClipOnAxisFalse?null:r.clipId,r.graphDiv)};Fm.drawAxes=function(e){var t=this,r=t.graphDiv,n=t.id.substr(7)+\"title\",i=t.layers,a=t.aaxis,o=t.baxis,s=t.caxis;if(t.drawAx(a),t.drawAx(o),t.drawAx(s),e){var l=Math.max(a.showticklabels?a.tickfont.size/2:0,(s.showticklabels?s.tickfont.size*.75:0)+(s.ticks===\"outside\"?s.ticklen*.87:0)),u=(o.showticklabels?o.tickfont.size:0)+(o.ticks===\"outside\"?o.ticklen:0)+3;i[\"a-title\"]=LG.draw(r,\"a\"+n,{propContainer:a,propName:t.id+\".aaxis.title\",placeholder:L8(r,\"Click to enter Component A title\"),attributes:{x:t.x0+t.w/2,y:t.y0-a.title.font.size/3-l,\"text-anchor\":\"middle\"}}),i[\"b-title\"]=LG.draw(r,\"b\"+n,{propContainer:o,propName:t.id+\".baxis.title\",placeholder:L8(r,\"Click to enter Component B title\"),attributes:{x:t.x0-u,y:t.y0+t.h+o.title.font.size*.83+u,\"text-anchor\":\"middle\"}}),i[\"c-title\"]=LG.draw(r,\"c\"+n,{propContainer:s,propName:t.id+\".caxis.title\",placeholder:L8(r,\"Click to enter Component C title\"),attributes:{x:t.x0+t.w+u,y:t.y0+t.h+s.title.font.size*.83+u,\"text-anchor\":\"middle\"}})}};Fm.drawAx=function(e){var t=this,r=t.graphDiv,n=e._name,i=n.charAt(0),a=e._id,o=t.layers[n],s=30,l=i+\"tickLayout\",u=o2t(e);t[l]!==u&&(o.selectAll(\".\"+a+\"tick\").remove(),t[l]=u),e.setScale();var c=C_.calcTicks(e),f=C_.clipEnds(e,c),h=C_.makeTransTickFn(e),d=C_.getTickSigns(e)[2],v=By.deg2rad(s),x=d*(e.linewidth||1)/2,b=d*e.ticklen,p=t.w,C=t.h,E=i===\"b\"?\"M0,\"+x+\"l\"+Math.sin(v)*b+\",\"+Math.cos(v)*b:\"M\"+x+\",0l\"+Math.cos(v)*b+\",\"+-Math.sin(v)*b,A={a:\"M0,0l\"+C+\",-\"+p/2,b:\"M0,0l-\"+p/2+\",-\"+C,c:\"M0,0l-\"+C+\",\"+p/2}[i];C_.drawTicks(r,e,{vals:e.ticks===\"inside\"?f:c,layer:o,path:E,transFn:h,crisp:!1}),C_.drawGrid(r,e,{vals:f,layer:t.layers[i+\"grid\"],path:A,transFn:h,crisp:!1}),C_.drawLabels(r,e,{vals:c,layer:o,transFn:h,labelFns:C_.makeLabelFns(e,0,s)})};function o2t(e){return e.ticks+String(e.ticklen)+String(e.showticklabels)}var yd=m2e.MINZOOM/2+.87,s2t=\"m-0.87,.5h\"+yd+\"v3h-\"+(yd+5.2)+\"l\"+(yd/2+2.6)+\",-\"+(yd*.87+4.5)+\"l2.6,1.5l-\"+yd/2+\",\"+yd*.87+\"Z\",l2t=\"m0.87,.5h-\"+yd+\"v3h\"+(yd+5.2)+\"l-\"+(yd/2+2.6)+\",-\"+(yd*.87+4.5)+\"l-2.6,1.5l\"+yd/2+\",\"+yd*.87+\"Z\",u2t=\"m0,1l\"+yd/2+\",\"+yd*.87+\"l2.6,-1.5l-\"+(yd/2+2.6)+\",-\"+(yd*.87+4.5)+\"l-\"+(yd/2+2.6)+\",\"+(yd*.87+4.5)+\"l2.6,1.5l\"+yd/2+\",-\"+yd*.87+\"Z\",c2t=\"m0.5,0.5h5v-2h-5v-5h-2v5h-5v2h5v5h2Z\",d2e=!0;Fm.clearOutline=function(){a2t(this.dragOptions),n2t(this.dragOptions.gd)};Fm.initInteractions=function(){var e=this,t=e.layers.plotbg.select(\"path\").node(),r=e.graphDiv,n=r._fullLayout._zoomlayer,i,a;this.dragOptions={element:t,gd:r,plotinfo:{id:e.id,domain:r._fullLayout[e.id].domain,xaxis:e.xaxis,yaxis:e.yaxis},subplot:e.id,prepFn:function(T,z,O){e.dragOptions.xaxes=[e.xaxis],e.dragOptions.yaxes=[e.yaxis],i=r._fullLayout._invScaleX,a=r._fullLayout._invScaleY;var V=e.dragOptions.dragmode=r._fullLayout.dragmode;h2e(V)?e.dragOptions.minDrag=1:e.dragOptions.minDrag=void 0,V===\"zoom\"?(e.dragOptions.moveFn=_,e.dragOptions.clickFn=p,e.dragOptions.doneFn=k,C(T,z,O)):V===\"pan\"?(e.dragOptions.moveFn=g,e.dragOptions.clickFn=p,e.dragOptions.doneFn=P,M(),e.clearOutline(r)):(t2t(V)||h2e(V))&&r2t(T,z,O,e.dragOptions,V)}};var o,s,l,u,c,f,h,d,v,x;function b(T){var z={};return z[e.id+\".aaxis.min\"]=T.a,z[e.id+\".baxis.min\"]=T.b,z[e.id+\".caxis.min\"]=T.c,z}function p(T,z){var O=r._fullLayout.clickmode;v2e(r),T===2&&(r.emit(\"plotly_doubleclick\",null),CG.call(\"_guiRelayout\",r,b({a:0,b:0,c:0}))),O.indexOf(\"select\")>-1&&T===1&&i2t(z,r,[e.xaxis],[e.yaxis],e.id,e.dragOptions),O.indexOf(\"event\")>-1&&f2e.click(r,z,e.id)}function C(T,z,O){var V=t.getBoundingClientRect();o=z-V.left,s=O-V.top,r._fullLayout._calcInverseTransform(r);var G=r._fullLayout._invTransform,Z=By.apply3DTransform(G)(o,s);o=Z[0],s=Z[1],l={a:e.aaxis.range[0],b:e.baxis.range[1],c:e.caxis.range[1]},c=l,u=e.aaxis.range[1]-l.a,f=Qbt(e.graphDiv._fullLayout[e.id].bgcolor).getLuminance(),h=\"M0,\"+e.h+\"L\"+e.w/2+\", 0L\"+e.w+\",\"+e.h+\"Z\",d=!1,v=n.append(\"path\").attr(\"class\",\"zoombox\").attr(\"transform\",Dm(e.x0,e.y0)).style({fill:f>.2?\"rgba(0,0,0,0)\":\"rgba(255,255,255,0)\",\"stroke-width\":0}).attr(\"d\",h),x=n.append(\"path\").attr(\"class\",\"zoombox-corners\").attr(\"transform\",Dm(e.x0,e.y0)).style({fill:OT.background,stroke:OT.defaultLine,\"stroke-width\":1,opacity:0}).attr(\"d\",\"M0,0Z\"),e.clearOutline(r)}function E(T,z){return 1-z/e.h}function A(T,z){return 1-(T+(e.h-z)/Math.sqrt(3))/e.w}function L(T,z){return(T-(e.h-z)/Math.sqrt(3))/e.w}function _(T,z){var O=o+T*i,V=s+z*a,G=Math.max(0,Math.min(1,E(o,s),E(O,V))),Z=Math.max(0,Math.min(1,A(o,s),A(O,V))),H=Math.max(0,Math.min(1,L(o,s),L(O,V))),N=(G/2+H)*e.w,j=(1-G/2-Z)*e.w,re=(N+j)/2,oe=j-N,_e=(1-G)*e.h,Me=_e-oe/zT;oe<m2e.MINZOOM?(c=l,v.attr(\"d\",h),x.attr(\"d\",\"M0,0Z\")):(c={a:l.a+G*u,b:l.b+Z*u,c:l.c+H*u},v.attr(\"d\",h+\"M\"+N+\",\"+_e+\"H\"+j+\"L\"+re+\",\"+Me+\"L\"+N+\",\"+_e+\"Z\"),x.attr(\"d\",\"M\"+o+\",\"+s+c2t+\"M\"+N+\",\"+_e+s2t+\"M\"+j+\",\"+_e+l2t+\"M\"+re+\",\"+Me+u2t)),d||(v.transition().style(\"fill\",f>.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),x.transition().style(\"opacity\",1).duration(200),d=!0),r.emit(\"plotly_relayouting\",b(c))}function k(){v2e(r),c!==l&&(CG.call(\"_guiRelayout\",r,b(c)),d2e&&r.data&&r._context.showTips&&(By.notifier(L8(r,\"Double-click to zoom back out\"),\"long\"),d2e=!1))}function M(){l={a:e.aaxis.range[0],b:e.baxis.range[1],c:e.caxis.range[1]},c=l}function g(T,z){var O=T/e.xaxis._m,V=z/e.yaxis._m;c={a:l.a-V,b:l.b+(O+V)/2,c:l.c-(O-V)/2};var G=[c.a,c.b,c.c].sort(By.sorterAsc),Z={a:G.indexOf(c.a),b:G.indexOf(c.b),c:G.indexOf(c.c)};G[0]<0&&(G[1]+G[0]/2<0?(G[2]+=G[0]+G[1],G[0]=G[1]=0):(G[2]+=G[0]/2,G[1]+=G[0]/2,G[0]=0),c={a:G[Z.a],b:G[Z.b],c:G[Z.c]},z=(l.a-c.a)*e.yaxis._m,T=(l.c-c.c-l.b+c.b)*e.xaxis._m);var H=Dm(e.x0+T,e.y0+z);e.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",H);var N=Dm(-T,-z);e.clipDefRelative.select(\"path\").attr(\"transform\",N),e.aaxis.range=[c.a,e.sum-c.b-c.c],e.baxis.range=[e.sum-c.a-c.c,c.b],e.caxis.range=[e.sum-c.a-c.b,c.c],e.drawAxes(!1),e._hasClipOnAxisFalse&&e.plotContainer.select(\".scatterlayer\").selectAll(\".trace\").call(P8.hideOutsideRangePoints,e),r.emit(\"plotly_relayouting\",b(c))}function P(){CG.call(\"_guiRelayout\",r,b(c))}t.onmousemove=function(T){f2e.hover(r,T,e.id),r._fullLayout._lasthover=t,r._fullLayout._hoversubplot=e.id},t.onmouseout=function(T){r._dragging||c2e.unhover(r,T)},c2e.init(this.dragOptions)};function v2e(e){p2e.select(e).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}});var RG=ye((qur,b2e)=>{\"use strict\";var f2t=Eh(),h2t=kc().attributes,lu=Rd(),d2t=mc().overrideAll,PG=Ao().extendFlat,IG={title:{text:lu.title.text,font:lu.title.font},color:lu.color,tickmode:lu.minor.tickmode,nticks:PG({},lu.nticks,{dflt:6,min:1}),tick0:lu.tick0,dtick:lu.dtick,tickvals:lu.tickvals,ticktext:lu.ticktext,ticks:lu.ticks,ticklen:lu.ticklen,tickwidth:lu.tickwidth,tickcolor:lu.tickcolor,ticklabelstep:lu.ticklabelstep,showticklabels:lu.showticklabels,labelalias:lu.labelalias,showtickprefix:lu.showtickprefix,tickprefix:lu.tickprefix,showticksuffix:lu.showticksuffix,ticksuffix:lu.ticksuffix,showexponent:lu.showexponent,exponentformat:lu.exponentformat,minexponent:lu.minexponent,separatethousands:lu.separatethousands,tickfont:lu.tickfont,tickangle:lu.tickangle,tickformat:lu.tickformat,tickformatstops:lu.tickformatstops,hoverformat:lu.hoverformat,showline:PG({},lu.showline,{dflt:!0}),linecolor:lu.linecolor,linewidth:lu.linewidth,showgrid:PG({},lu.showgrid,{dflt:!0}),gridcolor:lu.gridcolor,gridwidth:lu.gridwidth,griddash:lu.griddash,layer:lu.layer,min:{valType:\"number\",dflt:0,min:0}},I8=b2e.exports=d2t({domain:h2t({name:\"ternary\"}),bgcolor:{valType:\"color\",dflt:f2t.background},sum:{valType:\"number\",dflt:1,min:0},aaxis:IG,baxis:IG,caxis:IG},\"plot\",\"from-root\");I8.uirevision={valType:\"any\",editType:\"none\"};I8.aaxis.uirevision=I8.baxis.uirevision=I8.caxis.uirevision={valType:\"any\",editType:\"none\"}});var k_=ye((Bur,w2e)=>{\"use strict\";var v2t=Dr(),p2t=pl(),g2t=kc().defaults;w2e.exports=function(t,r,n,i){var a=i.type,o=i.attributes,s=i.handleDefaults,l=i.partition||\"x\",u=r._subplots[a],c=u.length,f=c&&u[0].replace(/\\d+$/,\"\"),h,d;function v(C,E){return v2t.coerce(h,d,o,C,E)}for(var x=0;x<c;x++){var b=u[x];t[b]?h=t[b]:h=t[b]={},d=p2t.newContainer(r,b,f),i.noUirevision||v(\"uirevision\",r.uirevision);var p={};p[l]=[x/c,(x+1)/c],g2t(d,r,v,p),i.id=b,s(h,d,v,i)}}});var M2e=ye((Nur,S2e)=>{\"use strict\";var m2t=Ca(),y2t=pl(),R8=Dr(),_2t=k_(),x2t=t_(),b2t=r_(),w2t=T3(),T2t=xb(),A2t=QM(),A2e=RG(),T2e=[\"aaxis\",\"baxis\",\"caxis\"];S2e.exports=function(t,r,n){_2t(t,r,n,{type:\"ternary\",attributes:A2e,handleDefaults:S2t,font:r.font,paper_bgcolor:r.paper_bgcolor})};function S2t(e,t,r,n){var i=r(\"bgcolor\"),a=r(\"sum\");n.bgColor=m2t.combine(i,n.paper_bgcolor);for(var o,s,l,u=0;u<T2e.length;u++)o=T2e[u],s=e[o]||{},l=y2t.newContainer(t,o),l._name=o,M2t(s,l,n,t);var c=t.aaxis,f=t.baxis,h=t.caxis;c.min+f.min+h.min>=a&&(c.min=0,f.min=0,h.min=0,e.aaxis&&delete e.aaxis.min,e.baxis&&delete e.baxis.min,e.caxis&&delete e.caxis.min)}function M2t(e,t,r,n){var i=A2e[t._name];function a(d,v){return R8.coerce(e,t,i,d,v)}a(\"uirevision\",n.uirevision),t.type=\"linear\";var o=a(\"color\"),s=o!==i.color.dflt?o:r.font.color,l=t._name,u=l.charAt(0).toUpperCase(),c=\"Component \"+u,f=a(\"title.text\",c);t._hovertitle=f===c?f:u,R8.coerceFont(a,\"title.font\",r.font,{overrideDflt:{size:R8.bigFont(r.font.size),color:s}}),a(\"min\"),T2t(e,t,a,\"linear\"),b2t(e,t,a,\"linear\"),x2t(e,t,a,\"linear\",{noAutotickangles:!0,noTicklabelshift:!0,noTicklabelstandoff:!0}),w2t(e,t,a,{outerTicks:!0});var h=a(\"showticklabels\");h&&(R8.coerceFont(a,\"tickfont\",r.font,{overrideDflt:{color:s}}),a(\"tickangle\"),a(\"tickformat\")),A2t(e,t,a,{dfltColor:o,bgColor:r.bgColor,blend:60,showLine:!0,showGrid:!0,noZeroLine:!0,attributes:i}),a(\"hoverformat\"),a(\"layer\")}});var E2e=ye(W0=>{\"use strict\";var E2t=x2e(),C2t=Id().getSubplotCalcData,k2t=Dr().counterRegex,qT=\"ternary\";W0.name=qT;var L2t=W0.attr=\"subplot\";W0.idRoot=qT;W0.idRegex=W0.attrRegex=k2t(qT);var P2t=W0.attributes={};P2t[L2t]={valType:\"subplotid\",dflt:\"ternary\",editType:\"calc\"};W0.layoutAttributes=RG();W0.supplyLayoutDefaults=M2e();W0.plot=function(t){for(var r=t._fullLayout,n=t.calcdata,i=r._subplots[qT],a=0;a<i.length;a++){var o=i[a],s=C2t(n,qT,o),l=r[o]._subplot;l||(l=new E2t({id:o,graphDiv:t,container:r._ternarylayer.node()},r),r[o]._subplot=l),l.plot(s,r,t._promises)}};W0.clean=function(e,t,r,n){for(var i=n._subplots[qT]||[],a=0;a<i.length;a++){var o=i[a],s=n[o]._subplot;!t[o]&&s&&(s.plotContainer.remove(),s.clipDef.remove(),s.clipDefRelative.remove(),s.layers[\"a-title\"].remove(),s.layers[\"b-title\"].remove(),s.layers[\"c-title\"].remove())}};W0.updateFx=function(e){var t=e._fullLayout;t._ternarylayer.selectAll(\"g.toplevel\").style(\"cursor\",t.dragmode===\"pan\"?\"move\":\"crosshair\")}});var k2e=ye((Vur,C2e)=>{\"use strict\";C2e.exports={attributes:SG(),supplyDefaults:Jbe(),colorbar:$d(),formatLabels:Qbe(),calc:i2e(),plot:a2e(),style:ap().style,styleOnSelect:ap().styleOnSelect,hoverPoints:s2e(),selectPoints:lT(),eventData:u2e(),moduleType:\"trace\",name:\"scatterternary\",basePlotModule:E2e(),categories:[\"ternary\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}});var P2e=ye((Gur,L2e)=>{\"use strict\";L2e.exports=k2e()});var DG=ye((Hur,R2e)=>{\"use strict\";var td=y4(),BT=Ao().extendFlat,I2e=df().axisHoverFormat;R2e.exports={y:td.y,x:td.x,x0:td.x0,y0:td.y0,xhoverformat:I2e(\"x\"),yhoverformat:I2e(\"y\"),name:BT({},td.name,{}),orientation:BT({},td.orientation,{}),bandwidth:{valType:\"number\",min:0,editType:\"calc\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},scalemode:{valType:\"enumerated\",values:[\"width\",\"count\"],dflt:\"width\",editType:\"calc\"},spanmode:{valType:\"enumerated\",values:[\"soft\",\"hard\",\"manual\"],dflt:\"soft\",editType:\"calc\"},span:{valType:\"info_array\",items:[{valType:\"any\",editType:\"calc\"},{valType:\"any\",editType:\"calc\"}],editType:\"calc\"},line:{color:{valType:\"color\",editType:\"style\"},width:{valType:\"number\",min:0,dflt:2,editType:\"style\"},editType:\"plot\"},fillcolor:td.fillcolor,points:BT({},td.boxpoints,{}),jitter:BT({},td.jitter,{}),pointpos:BT({},td.pointpos,{}),width:BT({},td.width,{}),marker:td.marker,text:td.text,hovertext:td.hovertext,hovertemplate:td.hovertemplate,quartilemethod:td.quartilemethod,box:{visible:{valType:\"boolean\",dflt:!1,editType:\"plot\"},width:{valType:\"number\",min:0,max:1,dflt:.25,editType:\"plot\"},fillcolor:{valType:\"color\",editType:\"style\"},line:{color:{valType:\"color\",editType:\"style\"},width:{valType:\"number\",min:0,editType:\"style\"},editType:\"style\"},editType:\"plot\"},meanline:{visible:{valType:\"boolean\",dflt:!1,editType:\"plot\"},color:{valType:\"color\",editType:\"style\"},width:{valType:\"number\",min:0,editType:\"style\"},editType:\"plot\"},side:{valType:\"enumerated\",values:[\"both\",\"positive\",\"negative\"],dflt:\"both\",editType:\"calc\"},offsetgroup:td.offsetgroup,alignmentgroup:td.alignmentgroup,selected:td.selected,unselected:td.unselected,hoveron:{valType:\"flaglist\",flags:[\"violins\",\"points\",\"kde\"],dflt:\"violins+points+kde\",extras:[\"all\"],editType:\"style\"},zorder:td.zorder}});var OG=ye((jur,D2e)=>{\"use strict\";var FG=_4(),zG=Dr().extendFlat;D2e.exports={violinmode:zG({},FG.boxmode,{}),violingap:zG({},FG.boxgap,{}),violingroupgap:zG({},FG.boxgroupgap,{})}});var B2e=ye((Wur,q2e)=>{\"use strict\";var F2e=Dr(),I2t=Ca(),z2e=b4(),O2e=DG();q2e.exports=function(t,r,n,i){function a(L,_){return F2e.coerce(t,r,O2e,L,_)}function o(L,_){return F2e.coerce2(t,r,O2e,L,_)}if(z2e.handleSampleDefaults(t,r,a,i),r.visible!==!1){a(\"bandwidth\"),a(\"side\");var s=a(\"width\");s||(a(\"scalegroup\",r.name),a(\"scalemode\"));var l=a(\"span\"),u;Array.isArray(l)&&(u=\"manual\"),a(\"spanmode\",u);var c=a(\"line.color\",(t.marker||{}).color||n),f=a(\"line.width\"),h=a(\"fillcolor\",I2t.addOpacity(r.line.color,.5));z2e.handlePointsDefaults(t,r,a,{prefix:\"\"});var d=o(\"box.width\"),v=o(\"box.fillcolor\",h),x=o(\"box.line.color\",c),b=o(\"box.line.width\",f),p=a(\"box.visible\",!!(d||v||x||b));p||(r.box={visible:!1});var C=o(\"meanline.color\",c),E=o(\"meanline.width\",f),A=a(\"meanline.visible\",!!(C||E));A||(r.meanline={visible:!1}),a(\"quartilemethod\"),a(\"zorder\")}}});var U2e=ye((Xur,N2e)=>{\"use strict\";var R2t=Dr(),D2t=OG(),F2t=jI();N2e.exports=function(t,r,n){function i(a,o){return R2t.coerce(t,r,D2t,a,o)}F2t._supply(t,r,n,i,\"violin\")}});var D8=ye(o2=>{\"use strict\";var z2t=Dr(),O2t={gaussian:function(e){return 1/Math.sqrt(2*Math.PI)*Math.exp(-.5*e*e)}};o2.makeKDE=function(e,t,r){var n=r.length,i=O2t.gaussian,a=e.bandwidth,o=1/(n*a);return function(s){for(var l=0,u=0;u<n;u++)l+=i((s-r[u])/a);return o*l}};o2.getPositionOnKdePath=function(e,t,r){var n,i;t.orientation===\"h\"?(n=\"y\",i=\"x\"):(n=\"x\",i=\"y\");var a=z2t.findPointOnPath(e.path,r,i,{pathLength:e.pathLength}),o=e.posCenterPx,s=a[n],l=t.side===\"both\"?2*o-s:o;return[s,l]};o2.getKdeValue=function(e,t,r){var n=e.pts.map(o2.extractVal),i=o2.makeKDE(e,t,n);return i(r)/e.posDensityScale};o2.extractVal=function(e){return e.v}});var H2e=ye((Yur,G2e)=>{\"use strict\";var qG=Dr(),BG=ho(),q2t=LV(),V2e=D8(),B2t=hs().BADNUM;G2e.exports=function(t,r){var n=q2t(t,r);if(n[0].t.empty)return n;for(var i=t._fullLayout,a=BG.getFromId(t,r[r.orientation===\"h\"?\"xaxis\":\"yaxis\"]),o=1/0,s=-1/0,l=0,u=0,c=0;c<n.length;c++){var f=n[c],h=f.pts.map(V2e.extractVal),d=f.bandwidth=U2t(r,f,h),v=f.span=V2t(r,f,a,d);if(f.min===f.max&&d===0)v=f.span=[f.min,f.max],f.density=[{v:1,t:v[0]}],f.bandwidth=d,l=Math.max(l,1);else{var x=v[1]-v[0],b=Math.ceil(x/(d/3)),p=x/b;if(!isFinite(p)||!isFinite(b))return qG.error(\"Something went wrong with computing the violin span\"),n[0].t.empty=!0,n;var C=V2e.makeKDE(f,r,h);f.density=new Array(b);for(var E=0,A=v[0];A<v[1]+p/2;E++,A+=p){var L=C(A);f.density[E]={v:L,t:A},l=Math.max(l,L)}}u=Math.max(u,h.length),o=Math.min(o,v[0]),s=Math.max(s,v[1])}var _=BG.findExtremes(a,[o,s],{padded:!0});if(r._extremes[a._id]=_,r.width)n[0].t.maxKDE=l;else{var k=i._violinScaleGroupStats,M=r.scalegroup,g=k[M];g?(g.maxKDE=Math.max(g.maxKDE,l),g.maxCount=Math.max(g.maxCount,u)):k[M]={maxKDE:l,maxCount:u}}return n[0].t.labels.kde=qG._(t,\"kde:\"),n};function N2t(e,t,r){var n=Math.min(t,r/1.349);return 1.059*n*Math.pow(e,-.2)}function U2t(e,t,r){var n=t.max-t.min;if(!n)return e.bandwidth?e.bandwidth:0;if(e.bandwidth)return Math.max(e.bandwidth,n/1e4);var i=r.length,a=qG.stdev(r,i-1,t.mean);return Math.max(N2t(i,a,t.q3-t.q1),n/100)}function V2t(e,t,r,n){var i=e.spanmode,a=e.span||[],o=[t.min,t.max],s=[t.min-2*n,t.max+2*n],l;function u(f){var h=a[f],d=r.type===\"multicategory\"?r.r2c(h):r.d2c(h,0,e[t.valLetter+\"calendar\"]);return d===B2t?s[f]:d}i===\"soft\"?l=s:i===\"hard\"?l=o:l=[u(0),u(1)];var c={type:\"linear\",range:l};return BG.setConvert(c),c.cleanRange(),l}});var X2e=ye((Kur,W2e)=>{\"use strict\";var G2t=XI().setPositionOffset,j2e=[\"v\",\"h\"];W2e.exports=function(t,r){for(var n=t.calcdata,i=r.xaxis,a=r.yaxis,o=0;o<j2e.length;o++){for(var s=j2e[o],l=s===\"h\"?a:i,u=[],c=0;c<n.length;c++){var f=n[c],h=f[0].t,d=f[0].trace;d.visible===!0&&d.type===\"violin\"&&!h.empty&&d.orientation===s&&d.xaxis===i._id&&d.yaxis===a._id&&u.push(c)}G2t(\"violin\",t,u,l)}}});var Y2e=ye((Jur,Z2e)=>{\"use strict\";var NG=Oa(),UG=Dr(),H2t=So(),VG=ZI(),j2t=pU(),W2t=D8();Z2e.exports=function(t,r,n,i){var a=t._context.staticPlot,o=t._fullLayout,s=r.xaxis,l=r.yaxis;function u(c,f){var h=j2t(c,{xaxis:s,yaxis:l,trace:f,connectGaps:!0,baseTolerance:.75,shape:\"spline\",simplify:!0,linearized:!0});return H2t.smoothopen(h[0],1)}UG.makeTraceGroups(i,n,\"trace violins\").each(function(c){var f=NG.select(this),h=c[0],d=h.t,v=h.trace;if(v.visible!==!0||d.empty){f.remove();return}var x=d.bPos,b=d.bdPos,p=r[d.valLetter+\"axis\"],C=r[d.posLetter+\"axis\"],E=v.side===\"both\",A=E||v.side===\"positive\",L=E||v.side===\"negative\",_=f.selectAll(\"path.violin\").data(UG.identity);_.enter().append(\"path\").style(\"vector-effect\",a?\"none\":\"non-scaling-stroke\").attr(\"class\",\"violin\"),_.exit().remove(),_.each(function(V){var G=NG.select(this),Z=V.density,H=Z.length,N=C.c2l(V.pos+x,!0),j=C.l2p(N),re;if(v.width)re=d.maxKDE/b;else{var oe=o._violinScaleGroupStats[v.scalegroup];re=v.scalemode===\"count\"?oe.maxKDE/b*(oe.maxCount/V.pts.length):oe.maxKDE/b}var _e,Me,ke,me,ie,Se,Le;if(A){for(Se=new Array(H),me=0;me<H;me++)Le=Se[me]={},Le[d.posLetter]=N+Z[me].v/re,Le[d.valLetter]=p.c2l(Z[me].t,!0);_e=u(Se,v)}if(L){for(Se=new Array(H),ie=0,me=H-1;ie<H;ie++,me--)Le=Se[ie]={},Le[d.posLetter]=N-Z[me].v/re,Le[d.valLetter]=p.c2l(Z[me].t,!0);Me=u(Se,v)}if(E)ke=_e+\"L\"+Me.substr(1)+\"Z\";else{var Ae=[j,p.c2p(Z[0].t)],De=[j,p.c2p(Z[H-1].t)];v.orientation===\"h\"&&(Ae.reverse(),De.reverse()),A?ke=\"M\"+Ae+\"L\"+_e.substr(1)+\"L\"+De:ke=\"M\"+De+\"L\"+Me.substr(1)+\"L\"+Ae}G.attr(\"d\",ke),V.posCenterPx=j,V.posDensityScale=re*b,V.path=G.node(),V.pathLength=V.path.getTotalLength()/(E?2:1)});var k=v.box,M=k.width,g=(k.line||{}).width,P,T;E?(P=b*M,T=0):A?(P=[0,b*M/2],T=g*{x:1,y:-1}[d.posLetter]):(P=[b*M/2,0],T=g*{x:-1,y:1}[d.posLetter]),VG.plotBoxAndWhiskers(f,{pos:C,val:p},v,{bPos:x,bdPos:P,bPosPxOffset:T}),VG.plotBoxMean(f,{pos:C,val:p},v,{bPos:x,bdPos:P,bPosPxOffset:T});var z;!v.box.visible&&v.meanline.visible&&(z=UG.identity);var O=f.selectAll(\"path.meanline\").data(z||[]);O.enter().append(\"path\").attr(\"class\",\"meanline\").style(\"fill\",\"none\").style(\"vector-effect\",a?\"none\":\"non-scaling-stroke\"),O.exit().remove(),O.each(function(V){var G=p.c2p(V.mean,!0),Z=W2t.getPositionOnKdePath(V,v,G);NG.select(this).attr(\"d\",v.orientation===\"h\"?\"M\"+G+\",\"+Z[0]+\"V\"+Z[1]:\"M\"+Z[0]+\",\"+G+\"H\"+Z[1])}),VG.plotPoints(f,{x:s,y:l},v,d)})}});var $2e=ye(($ur,J2e)=>{\"use strict\";var K2e=Oa(),NT=Ca(),X2t=ap().stylePoints;J2e.exports=function(t){var r=K2e.select(t).selectAll(\"g.trace.violins\");r.style(\"opacity\",function(n){return n[0].trace.opacity}),r.each(function(n){var i=n[0].trace,a=K2e.select(this),o=i.box||{},s=o.line||{},l=i.meanline||{},u=l.width;a.selectAll(\"path.violin\").style(\"stroke-width\",i.line.width+\"px\").call(NT.stroke,i.line.color).call(NT.fill,i.fillcolor),a.selectAll(\"path.box\").style(\"stroke-width\",s.width+\"px\").call(NT.stroke,s.color).call(NT.fill,o.fillcolor);var c={\"stroke-width\":u+\"px\",\"stroke-dasharray\":2*u+\"px,\"+u+\"px\"};a.selectAll(\"path.mean\").style(c).call(NT.stroke,l.color),a.selectAll(\"path.meanline\").style(c).call(NT.stroke,l.color),X2t(a,i,t)})}});var rwe=ye((Qur,twe)=>{\"use strict\";var Z2t=Ca(),GG=Dr(),Y2t=ho(),Q2e=FV(),ewe=D8();twe.exports=function(t,r,n,i,a){a||(a={});var o=a.hoverLayer,s=t.cd,l=s[0].trace,u=l.hoveron,c=u.indexOf(\"violins\")!==-1,f=u.indexOf(\"kde\")!==-1,h=[],d,v;if(c||f){var x=Q2e.hoverOnBoxes(t,r,n,i);if(f&&x.length>0){var b=t.xa,p=t.ya,C,E,A,L,_;l.orientation===\"h\"?(_=r,C=\"y\",A=p,E=\"x\",L=b):(_=n,C=\"x\",A=b,E=\"y\",L=p);var k=s[t.index];if(_>=k.span[0]&&_<=k.span[1]){var M=GG.extendFlat({},t),g=L.c2p(_,!0),P=ewe.getKdeValue(k,l,_),T=ewe.getPositionOnKdePath(k,l,g),z=A._offset,O=A._length;M[C+\"0\"]=T[0],M[C+\"1\"]=T[1],M[E+\"0\"]=M[E+\"1\"]=g,M[E+\"Label\"]=E+\": \"+Y2t.hoverLabelText(L,_,l[E+\"hoverformat\"])+\", \"+s[0].t.labels.kde+\" \"+P.toFixed(3);for(var V=0,G=0;G<x.length;G++)if(x[G].attr===\"med\"){V=G;break}M.spikeDistance=x[V].spikeDistance;var Z=C+\"Spike\";M[Z]=x[V][Z],x[V].spikeDistance=void 0,x[V][Z]=void 0,M.hovertemplate=!1,h.push(M),v={},v[C+\"1\"]=GG.constrain(z+T[0],z,z+O),v[C+\"2\"]=GG.constrain(z+T[1],z,z+O),v[E+\"1\"]=v[E+\"2\"]=L._offset+g}}c&&(h=h.concat(x))}u.indexOf(\"points\")!==-1&&(d=Q2e.hoverOnPoints(t,r,n));var H=o.selectAll(\".violinline-\"+l.uid).data(v?[0]:[]);return H.enter().append(\"line\").classed(\"violinline-\"+l.uid,!0).attr(\"stroke-width\",1.5),H.exit().remove(),H.attr(v).call(Z2t.stroke,t.color),i===\"closest\"?d?[d]:h:(d&&h.push(d),h)}});var nwe=ye((ecr,iwe)=>{\"use strict\";iwe.exports={attributes:DG(),layoutAttributes:OG(),supplyDefaults:B2e(),crossTraceDefaults:b4().crossTraceDefaults,supplyLayoutDefaults:U2e(),calc:H2e(),crossTraceCalc:X2e(),plot:Y2e(),style:$2e(),styleOnSelect:ap().styleOnSelect,hoverPoints:rwe(),selectPoints:zV(),moduleType:\"trace\",name:\"violin\",basePlotModule:vh(),categories:[\"cartesian\",\"svg\",\"symbols\",\"oriented\",\"box-violin\",\"showLegend\",\"violinLayout\",\"zoomScale\"],meta:{}}});var owe=ye((tcr,awe)=>{\"use 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total\",\"value\"],extras:[\"none\"],editType:\"plot\",arrayOk:!1},texttemplate:$2t({editType:\"plot\"},{keys:cwe.eventDataKeys.concat([\"label\",\"value\"])}),text:jc.text,textposition:jc.textposition,insidetextanchor:Ny({},jc.insidetextanchor,{dflt:\"middle\"}),textangle:Ny({},jc.textangle,{dflt:0}),textfont:jc.textfont,insidetextfont:jc.insidetextfont,outsidetextfont:jc.outsidetextfont,constraintext:jc.constraintext,cliponaxis:jc.cliponaxis,orientation:Ny({},jc.orientation,{}),offset:Ny({},jc.offset,{arrayOk:!1}),width:Ny({},jc.width,{arrayOk:!1}),marker:ewt(),connector:{fillcolor:{valType:\"color\",editType:\"style\"},line:{color:Ny({},HG.color,{dflt:Q2t.defaultLine}),width:Ny({},HG.width,{dflt:0,editType:\"plot\"}),dash:HG.dash,editType:\"style\"},visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},editType:\"plot\"},offsetgroup:jc.offsetgroup,alignmentgroup:jc.alignmentgroup,zorder:jc.zorder};function ewt(){var e=Ny({},jc.marker);return delete e.pattern,delete e.cornerradius,e}});var WG=ye((ncr,hwe)=>{\"use strict\";hwe.exports={funnelmode:{valType:\"enumerated\",values:[\"stack\",\"group\",\"overlay\"],dflt:\"stack\",editType:\"calc\"},funnelgap:{valType:\"number\",min:0,max:1,editType:\"calc\"},funnelgroupgap:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"}}});var ZG=ye((acr,vwe)=>{\"use strict\";var F8=Dr(),twt=Gb(),rwt=r0().handleText,iwt=K3(),nwt=Pg(),dwe=jG(),XG=Ca();function awt(e,t,r,n){function i(f,h){return F8.coerce(e,t,dwe,f,h)}var a=iwt(e,t,n,i);if(!a){t.visible=!1;return}nwt(e,t,n,i),i(\"xhoverformat\"),i(\"yhoverformat\"),i(\"orientation\",t.y&&!t.x?\"v\":\"h\"),i(\"offset\"),i(\"width\");var o=i(\"text\");i(\"hovertext\"),i(\"hovertemplate\");var s=i(\"textposition\");rwt(e,t,n,i,s,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!0,moduleHasCliponaxis:!0,moduleHasTextangle:!0,moduleHasInsideanchor:!0}),t.textposition!==\"none\"&&!t.texttemplate&&i(\"textinfo\",F8.isArrayOrTypedArray(o)?\"text+value\":\"value\");var l=i(\"marker.color\",r);i(\"marker.line.color\",XG.defaultLine),i(\"marker.line.width\");var u=i(\"connector.visible\");if(u){i(\"connector.fillcolor\",owt(l));var c=i(\"connector.line.width\");c&&(i(\"connector.line.color\"),i(\"connector.line.dash\"))}i(\"zorder\")}function owt(e){var t=F8.isArrayOrTypedArray(e)?\"#000\":e;return XG.addOpacity(t,.5*XG.opacity(t))}function swt(e,t){var r,n;function i(o){return F8.coerce(n._input,n,dwe,o)}for(var a=0;a<e.length;a++)n=e[a],n.type===\"funnel\"&&(r=n._input,twt(r,n,t,i,t.funnelmode))}vwe.exports={supplyDefaults:awt,crossTraceDefaults:swt}});var gwe=ye((ocr,pwe)=>{\"use strict\";var lwt=Dr(),uwt=WG();pwe.exports=function(e,t,r){var n=!1;function i(s,l){return lwt.coerce(e,t,uwt,s,l)}for(var a=0;a<r.length;a++){var o=r[a];if(o.visible&&o.type===\"funnel\"){n=!0;break}}n&&(i(\"funnelmode\"),i(\"funnelgap\",.2),i(\"funnelgroupgap\"))}});var ywe=ye((scr,mwe)=>{\"use strict\";var UT=Dr();mwe.exports=function(t,r){for(var n=0;n<t.length;n++)t[n].i=n;UT.mergeArray(r.text,t,\"tx\"),UT.mergeArray(r.hovertext,t,\"htx\");var i=r.marker;if(i){UT.mergeArray(i.opacity,t,\"mo\"),UT.mergeArray(i.color,t,\"mc\");var a=i.line;a&&(UT.mergeArray(a.color,t,\"mlc\"),UT.mergeArrayCastPositive(a.width,t,\"mlw\"))}}});var wwe=ye((lcr,bwe)=>{\"use strict\";var _we=ho(),xwe=Rg(),cwt=ywe(),fwt=z0(),F4=hs().BADNUM;bwe.exports=function(t,r){var n=_we.getFromId(t,r.xaxis||\"x\"),i=_we.getFromId(t,r.yaxis||\"y\"),a,o,s,l,u,c,f,h;r.orientation===\"h\"?(a=n.makeCalcdata(r,\"x\"),s=i.makeCalcdata(r,\"y\"),l=xwe(r,i,\"y\",s),u=!!r.yperiodalignment,c=\"y\"):(a=i.makeCalcdata(r,\"y\"),s=n.makeCalcdata(r,\"x\"),l=xwe(r,n,\"x\",s),u=!!r.xperiodalignment,c=\"x\"),o=l.vals;var d=Math.min(o.length,a.length),v=new Array(d);for(r._base=[],f=0;f<d;f++){a[f]<0&&(a[f]=F4);var x=!1;a[f]!==F4&&f+1<d&&a[f+1]!==F4&&(x=!0),h=v[f]={p:o[f],s:a[f],cNext:x},r._base[f]=-.5*h.s,u&&(v[f].orig_p=s[f],v[f][c+\"End\"]=l.ends[f],v[f][c+\"Start\"]=l.starts[f]),r.ids&&(h.id=String(r.ids[f])),f===0&&(v[0].vTotal=0),v[0].vTotal+=YG(h.s),h.begR=YG(h.s)/YG(v[0].s)}var b;for(f=0;f<d;f++)h=v[f],h.s!==F4&&(h.sumR=h.s/v[0].vTotal,h.difR=b!==void 0?h.s/b:1,b=h.s);return cwt(v,r),fwt(v,r),v};function YG(e){return e===F4?0:e}});var Swe=ye((ucr,Awe)=>{\"use strict\";var Twe=Hb().setGroupPositions;Awe.exports=function(t,r){var n=t._fullLayout,i=t._fullData,a=t.calcdata,o=r.xaxis,s=r.yaxis,l=[],u=[],c=[],f,h;for(h=0;h<i.length;h++){var d=i[h],v=d.orientation===\"h\";d.visible===!0&&d.xaxis===o._id&&d.yaxis===s._id&&d.type===\"funnel\"&&(f=a[h],v?c.push(f):u.push(f),l.push(f))}var x={mode:n.funnelmode,norm:n.funnelnorm,gap:n.funnelgap,groupgap:n.funnelgroupgap};for(Twe(t,o,s,u,x),Twe(t,s,o,c,x),h=0;h<l.length;h++){f=l[h];for(var b=0;b<f.length;b++)b+1<f.length&&(f[b].nextP0=f[b+1].p0,f[b].nextS0=f[b+1].s0,f[b].nextP1=f[b+1].p1,f[b].nextS1=f[b+1].s1)}}});var kwe=ye((ccr,Cwe)=>{\"use strict\";var z8=Oa(),P_=Dr(),Mwe=So(),L_=hs().BADNUM,hwt=i2(),dwt=_v().clearMinTextSize;Cwe.exports=function(t,r,n,i){var a=t._fullLayout;dwt(\"funnel\",a),vwt(t,r,n,i),pwt(t,r,n,i),hwt.plot(t,r,n,i,{mode:a.funnelmode,norm:a.funnelmode,gap:a.funnelgap,groupgap:a.funnelgroupgap})};function vwt(e,t,r,n){var i=t.xaxis,a=t.yaxis;P_.makeTraceGroups(n,r,\"trace bars\").each(function(o){var s=z8.select(this),l=o[0].trace,u=P_.ensureSingle(s,\"g\",\"regions\");if(!l.connector||!l.connector.visible){u.remove();return}var c=l.orientation===\"h\",f=u.selectAll(\"g.region\").data(P_.identity);f.enter().append(\"g\").classed(\"region\",!0),f.exit().remove();var h=f.size();f.each(function(d,v){if(!(v!==h-1&&!d.cNext)){var x=Ewe(d,i,a,c),b=x[0],p=x[1],C=\"\";b[0]!==L_&&p[0]!==L_&&b[1]!==L_&&p[1]!==L_&&b[2]!==L_&&p[2]!==L_&&b[3]!==L_&&p[3]!==L_&&(c?C+=\"M\"+b[0]+\",\"+p[1]+\"L\"+b[2]+\",\"+p[2]+\"H\"+b[3]+\"L\"+b[1]+\",\"+p[1]+\"Z\":C+=\"M\"+b[1]+\",\"+p[1]+\"L\"+b[2]+\",\"+p[3]+\"V\"+p[2]+\"L\"+b[1]+\",\"+p[0]+\"Z\"),C===\"\"&&(C=\"M0,0Z\"),P_.ensureSingle(z8.select(this),\"path\").attr(\"d\",C).call(Mwe.setClipUrl,t.layerClipId,e)}})})}function pwt(e,t,r,n){var i=t.xaxis,a=t.yaxis;P_.makeTraceGroups(n,r,\"trace bars\").each(function(o){var s=z8.select(this),l=o[0].trace,u=P_.ensureSingle(s,\"g\",\"lines\");if(!l.connector||!l.connector.visible||!l.connector.line.width){u.remove();return}var c=l.orientation===\"h\",f=u.selectAll(\"g.line\").data(P_.identity);f.enter().append(\"g\").classed(\"line\",!0),f.exit().remove();var h=f.size();f.each(function(d,v){if(!(v!==h-1&&!d.cNext)){var x=Ewe(d,i,a,c),b=x[0],p=x[1],C=\"\";b[3]!==void 0&&p[3]!==void 0&&(c?(C+=\"M\"+b[0]+\",\"+p[1]+\"L\"+b[2]+\",\"+p[2],C+=\"M\"+b[1]+\",\"+p[1]+\"L\"+b[3]+\",\"+p[2]):(C+=\"M\"+b[1]+\",\"+p[1]+\"L\"+b[2]+\",\"+p[3],C+=\"M\"+b[1]+\",\"+p[0]+\"L\"+b[2]+\",\"+p[2])),C===\"\"&&(C=\"M0,0Z\"),P_.ensureSingle(z8.select(this),\"path\").attr(\"d\",C).call(Mwe.setClipUrl,t.layerClipId,e)}})})}function Ewe(e,t,r,n){var i=[],a=[],o=n?t:r,s=n?r:t;return i[0]=o.c2p(e.s0,!0),a[0]=s.c2p(e.p0,!0),i[1]=o.c2p(e.s1,!0),a[1]=s.c2p(e.p1,!0),i[2]=o.c2p(e.nextS0,!0),a[2]=s.c2p(e.nextP0,!0),i[3]=o.c2p(e.nextS1,!0),a[3]=s.c2p(e.nextP1,!0),n?[i,a]:[a,i]}});var Iwe=ye((fcr,Pwe)=>{\"use strict\";var z4=Oa(),Lwe=So(),KG=Ca(),gwt=U1().DESELECTDIM,mwt=N0(),ywt=_v().resizeText,_wt=mwt.styleTextPoints;function xwt(e,t,r){var n=r||z4.select(e).selectAll('g[class^=\"funnellayer\"]').selectAll(\"g.trace\");ywt(e,n,\"funnel\"),n.style(\"opacity\",function(i){return i[0].trace.opacity}),n.each(function(i){var a=z4.select(this),o=i[0].trace;a.selectAll(\".point > path\").each(function(s){if(!s.isBlank){var l=o.marker;z4.select(this).call(KG.fill,s.mc||l.color).call(KG.stroke,s.mlc||l.line.color).call(Lwe.dashLine,l.line.dash,s.mlw||l.line.width).style(\"opacity\",o.selectedpoints&&!s.selected?gwt:1)}}),_wt(a,o,e),a.selectAll(\".regions\").each(function(){z4.select(this).selectAll(\"path\").style(\"stroke-width\",0).call(KG.fill,o.connector.fillcolor)}),a.selectAll(\".lines\").each(function(){var s=o.connector.line;Lwe.lineGroupStyle(z4.select(this).selectAll(\"path\"),s.width,s.color,s.dash)})})}Pwe.exports={style:xwt}});var Fwe=ye((hcr,Dwe)=>{\"use 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strict\";zwe.exports=function(t,r){return t.x=\"xVal\"in r?r.xVal:r.x,t.y=\"yVal\"in r?r.yVal:r.y,\"percentInitial\"in r&&(t.percentInitial=r.percentInitial),\"percentPrevious\"in r&&(t.percentPrevious=r.percentPrevious),\"percentTotal\"in r&&(t.percentTotal=r.percentTotal),r.xa&&(t.xaxis=r.xa),r.ya&&(t.yaxis=r.ya),t}});var Bwe=ye((vcr,qwe)=>{\"use strict\";qwe.exports={attributes:jG(),layoutAttributes:WG(),supplyDefaults:ZG().supplyDefaults,crossTraceDefaults:ZG().crossTraceDefaults,supplyLayoutDefaults:gwe(),calc:wwe(),crossTraceCalc:Swe(),plot:kwe(),style:Iwe().style,hoverPoints:Fwe(),eventData:Owe(),selectPoints:AT(),moduleType:\"trace\",name:\"funnel\",basePlotModule:vh(),categories:[\"bar-like\",\"cartesian\",\"svg\",\"oriented\",\"showLegend\",\"zoomScale\"],meta:{}}});var Uwe=ye((pcr,Nwe)=>{\"use strict\";Nwe.exports=Bwe()});var Gwe=ye((gcr,Vwe)=>{\"use strict\";Vwe.exports={eventDataKeys:[\"initial\",\"delta\",\"final\"]}});var eH=ye((mcr,Wwe)=>{\"use strict\";var _c=Lm(),$G=pf().line,Twt=Vl(),Hwe=df().axisHoverFormat,Awt=Qo().hovertemplateAttrs,Swt=Qo().texttemplateAttrs,jwe=Gwe(),VT=Ao().extendFlat,Mwt=Ca();function QG(e){return{marker:{color:VT({},_c.marker.color,{arrayOk:!1,editType:\"style\"}),line:{color:VT({},_c.marker.line.color,{arrayOk:!1,editType:\"style\"}),width:VT({},_c.marker.line.width,{arrayOk:!1,editType:\"style\"}),editType:\"style\"},editType:\"style\"},editType:\"style\"}}Wwe.exports={measure:{valType:\"data_array\",dflt:[],editType:\"calc\"},base:{valType:\"number\",dflt:null,arrayOk:!1,editType:\"calc\"},x:_c.x,x0:_c.x0,dx:_c.dx,y:_c.y,y0:_c.y0,dy:_c.dy,xperiod:_c.xperiod,yperiod:_c.yperiod,xperiod0:_c.xperiod0,yperiod0:_c.yperiod0,xperiodalignment:_c.xperiodalignment,yperiodalignment:_c.yperiodalignment,xhoverformat:Hwe(\"x\"),yhoverformat:Hwe(\"y\"),hovertext:_c.hovertext,hovertemplate:Awt({},{keys:jwe.eventDataKeys}),hoverinfo:VT({},Twt.hoverinfo,{flags:[\"name\",\"x\",\"y\",\"text\",\"initial\",\"delta\",\"final\"]}),textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"initial\",\"delta\",\"final\"],extras:[\"none\"],editType:\"plot\",arrayOk:!1},texttemplate:Swt({editType:\"plot\"},{keys:jwe.eventDataKeys.concat([\"label\"])}),text:_c.text,textposition:_c.textposition,insidetextanchor:_c.insidetextanchor,textangle:_c.textangle,textfont:_c.textfont,insidetextfont:_c.insidetextfont,outsidetextfont:_c.outsidetextfont,constraintext:_c.constraintext,cliponaxis:_c.cliponaxis,orientation:_c.orientation,offset:_c.offset,width:_c.width,increasing:QG(\"increasing\"),decreasing:QG(\"decreasing\"),totals:QG(\"intermediate 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Ywe=Dr(),Ewt=Gb(),Cwt=r0().handleText,kwt=K3(),Lwt=Pg(),Kwe=eH(),Pwt=Ca(),Jwe=GT(),Iwt=Jwe.INCREASING.COLOR,Rwt=Jwe.DECREASING.COLOR,Dwt=\"#4499FF\";function rH(e,t,r){e(t+\".marker.color\",r),e(t+\".marker.line.color\",Pwt.defaultLine),e(t+\".marker.line.width\")}function Fwt(e,t,r,n){function i(u,c){return Ywe.coerce(e,t,Kwe,u,c)}var a=kwt(e,t,n,i);if(!a){t.visible=!1;return}Lwt(e,t,n,i),i(\"xhoverformat\"),i(\"yhoverformat\"),i(\"measure\"),i(\"orientation\",t.x&&!t.y?\"h\":\"v\"),i(\"base\"),i(\"offset\"),i(\"width\"),i(\"text\"),i(\"hovertext\"),i(\"hovertemplate\");var o=i(\"textposition\");Cwt(e,t,n,i,o,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!0,moduleHasCliponaxis:!0,moduleHasTextangle:!0,moduleHasInsideanchor:!0}),t.textposition!==\"none\"&&(i(\"texttemplate\"),t.texttemplate||i(\"textinfo\")),rH(i,\"increasing\",Iwt),rH(i,\"decreasing\",Rwt),rH(i,\"totals\",Dwt);var s=i(\"connector.visible\");if(s){i(\"connector.mode\");var 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t=e._readableState;au(\"emitReadable_\",t.destroyed,t.length,t.ended),!t.destroyed&&(t.length||t.ended)&&(e.emit(\"readable\"),t.emittedReadable=!1),t.needReadable=!t.flowing&&!t.ended&&t.length<=t.highWaterMark,Mj(e)}function Aj(e,t){t.readingMore||(t.readingMore=!0,process.nextTick(HSt,e,t))}function HSt(e,t){for(;!t.reading&&!t.ended&&(t.length<t.highWaterMark||t.flowing&&t.length===0);){var r=t.length;if(au(\"maybeReadMore read 0\"),e.read(0),r===t.length)break}t.readingMore=!1}Bu.prototype._read=function(e){eE(this,new qSt(\"_read()\"))};Bu.prototype.pipe=function(e,t){var r=this,n=this._readableState;switch(n.pipesCount){case 0:n.pipes=e;break;case 1:n.pipes=[n.pipes,e];break;default:n.pipes.push(e);break}n.pipesCount+=1,au(\"pipe count=%d opts=%j\",n.pipesCount,t);var i=(!t||t.end!==!1)&&e!==process.stdout&&e!==process.stderr,a=i?s:x;n.endEmitted?process.nextTick(a):r.once(\"end\",a),e.on(\"unpipe\",o);function 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i=e._parserCallback;if(i&&e._parserState===rD&&e._parserBuffers.length>1&&(t=Buffer.concat(e._parserBuffers,e._parserBuffered)),e._parserState!==rD&&(t=null),e._parserCallback=null,e._parserBuffered=0,e._parserState=M4e,e._parserBuffers.splice(0),i){var a=[];t&&a.push(t),r&&a.push(r);var o=i.length>a.length;o&&a.push(L4e(n));var s=i.apply(e,a);if(!o||n===s)return n}}else return n}var k4e=L4e(C4e);function L4e(e){return function(){for(var t=e.apply(this,arguments);typeof t==\"function\";)t=t();return t}}});var rc=ye(Hy=>{\"use strict\";var R4e=SSe().Transform,LEt=I4e();function AE(){R4e.call(this,{readableObjectMode:!0})}AE.prototype=Object.create(R4e.prototype);AE.prototype.constructor=AE;LEt(AE.prototype);Hy.ParserStream=AE;Hy.sliceEq=function(e,t,r){for(var n=t,i=0;i<r.length;)if(e[n++]!==r[i++])return!1;return!0};Hy.str2arr=function(e,t){var r=[],n=0;if(t&&t===\"hex\")for(;n<e.length;)r.push(parseInt(e.slice(n,n+2),16)),n+=2;else 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n=SE(e,r);if(!n)break;switch(n.boxtype){case\"ispe\":t.sizes.push({width:iW(n.data,4),height:iW(n.data,8)});break;case\"irot\":t.transforms.push({type:\"irot\",value:n.data[0]&3});break;case\"imir\":t.transforms.push({type:\"imir\",value:n.data[0]&1});break}r=n.end}}function rW(e,t,r){for(var n=0,i=0;i<r;i++)n=n*256+(e[t+i]||0);return n}function IEt(e,t){for(var r=e[4]>>4&15,n=e[4]&15,i=e[5]>>4&15,a=mA(e,6),o=8,s=0;s<a;s++){var l=mA(e,o);o+=2;var u=mA(e,o);o+=2;var c=rW(e,o,i);o+=i;var f=mA(e,o);if(o+=2,u===0&&f===1){var h=rW(e,o,r),d=rW(e,o+r,n);t.item_loc[l]={length:d,offset:h+c}}o+=f*(r+n)}}function REt(e,t){for(var r=mA(e,4),n=6,i=0;i<r;i++){var a=SE(e,n);if(!a)break;if(a.boxtype===\"infe\"){for(var o=mA(a.data,4),s=\"\",l=8;l<a.data.length&&a.data[l];l++)s+=String.fromCharCode(a.data[l]);t.item_inf[s]=o}n=a.end}}function DEt(e,t){for(var r=0;;){var n=SE(e,r);if(!n)break;n.boxtype===\"ipco\"&&PEt(n.data,t),r=n.end}}function FEt(e,t){for(var r=4;;){var n=SE(e,r);if(!n)break;n.boxtype===\"iprp\"&&DEt(n.data,t),n.boxtype===\"iloc\"&&IEt(n.data,t),n.boxtype===\"iinf\"&&REt(n.data,t),r=n.end}}function zEt(e){var t=e.reduce(function(i,a){return i.width>a.width||i.width===a.width&&i.height>a.height?i:a}),r=e.reduce(function(i,a){return i.height>a.height||i.height===a.height&&i.width>a.width?i:a}),n;return t.width>r.height||t.width===r.height&&t.height>r.width?n=t:n=r,n}nD.exports.readSizeFromMeta=function(e){var t={sizes:[],transforms:[],item_inf:{},item_loc:{}};if(FEt(e,t),!!t.sizes.length){var r=zEt(t.sizes),n=1;t.transforms.forEach(function(a){var o={1:6,2:5,3:8,4:7,5:4,6:3,7:2,8:1},s={1:4,2:3,3:2,4:1,5:6,6:5,7:8,8:7};if(a.type===\"imir\"&&(a.value===0?n=s[n]:(n=s[n],n=o[n],n=o[n])),a.type===\"irot\")for(var l=0;l<a.value;l++)n=o[n]});var i=null;return t.item_inf.Exif&&(i=t.item_loc[t.item_inf.Exif]),{width:r.width,height:r.height,orientation:t.transforms.length?n:null,variants:t.sizes,exif_location:i}}};nD.exports.getMimeType=function(e){var t=String.fromCharCode.apply(null,e.slice(0,4)),r={};r[t]=!0;for(var n=8;n<e.length;n+=4)r[String.fromCharCode.apply(null,e.slice(n,n+4))]=!0;if(!(!r.mif1&&!r.msf1&&!r.miaf))return t===\"avif\"||t===\"avis\"||t===\"avio\"?{type:\"avif\",mime:\"image/avif\"}:t===\"heic\"||t===\"heix\"?{type:\"heic\",mime:\"image/heic\"}:t===\"hevc\"||t===\"hevx\"?{type:\"heic\",mime:\"image/heic-sequence\"}:r.avif||r.avis?{type:\"avif\",mime:\"image/avif\"}:r.heic||r.heix||r.hevc||r.hevx||r.heis?r.msf1?{type:\"heif\",mime:\"image/heif-sequence\"}:{type:\"heif\",mime:\"image/heif\"}:{type:\"avif\",mime:\"image/avif\"}}});var oD=ye((bhr,nW)=>{\"use strict\";function aD(e,t){var r=new Error(e);return r.code=t,r}function OEt(e){try{return decodeURIComponent(escape(e))}catch(t){return e}}function jy(e,t,r){this.input=e.subarray(t,r),this.start=t;var n=String.fromCharCode.apply(null,this.input.subarray(0,4));if(n!==\"II*\\0\"&&n!==\"MM\\0*\")throw aD(\"invalid TIFF signature\",\"EBADDATA\");this.big_endian=n[0]===\"M\"}jy.prototype.each=function(e){this.aborted=!1;var t=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:t}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,e)}};jy.prototype.read_uint16=function(e){var t=this.input;if(e+2>t.length)throw aD(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?t[e]*256+t[e+1]:t[e]+t[e+1]*256};jy.prototype.read_uint32=function(e){var t=this.input;if(e+4>t.length)throw aD(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?t[e]*16777216+t[e+1]*65536+t[e+2]*256+t[e+3]:t[e]+t[e+1]*256+t[e+2]*65536+t[e+3]*16777216};jy.prototype.is_subifd_link=function(e,t){return e===0&&t===34665||e===0&&t===34853||e===34665&&t===40965};jy.prototype.exif_format_length=function(e){switch(e){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}};jy.prototype.exif_format_read=function(e,t){var r;switch(e){case 1:case 2:return r=this.input[t],r;case 6:return r=this.input[t],r|(r&128)*33554430;case 3:return r=this.read_uint16(t),r;case 8:return r=this.read_uint16(t),r|(r&32768)*131070;case 4:return r=this.read_uint32(t),r;case 9:return r=this.read_uint32(t),r|0;case 5:case 10:case 11:case 12:return null;case 7:return null;default:return null}};jy.prototype.scan_ifd=function(e,t,r){var n=this.read_uint16(t);t+=2;for(var i=0;i<n;i++){var a=this.read_uint16(t),o=this.read_uint16(t+2),s=this.read_uint32(t+4),l=this.exif_format_length(o),u=s*l,c=u<=4?t+8:this.read_uint32(t+8),f=!1;if(c+u>this.input.length)throw aD(\"unexpected EOF\",\"EBADDATA\");for(var h=[],d=c,v=0;v<s;v++,d+=l){var x=this.exif_format_read(o,d);if(x===null){h=null;break}h.push(x)}Array.isArray(h)&&o===2&&(h=OEt(String.fromCharCode.apply(null,h)),h&&h[h.length-1]===\"\\0\"&&(h=h.slice(0,-1))),this.is_subifd_link(e,a)&&Array.isArray(h)&&Number.isInteger(h[0])&&h[0]>0&&(this.ifds_to_read.push({id:a,offset:h[0]}),f=!0);var b={is_big_endian:this.big_endian,ifd:e,tag:a,format:o,count:s,entry_offset:t+this.start,data_length:u,data_offset:c+this.start,value:h,is_subifd_link:f};if(r(b)===!1){this.aborted=!0;return}t+=12}e===0&&this.ifds_to_read.push({id:1,offset:this.read_uint32(t)})};nW.exports.ExifParser=jy;nW.exports.get_orientation=function(e){var t=0;try{return new jy(e,0,e.length).each(function(r){if(r.ifd===0&&r.tag===274&&Array.isArray(r.value))return t=r.value[0],!1}),t}catch(r){return-1}}});var z4e=ye((whr,F4e)=>{\"use strict\";var qEt=rc().str2arr,BEt=rc().sliceEq,NEt=rc().readUInt32BE,sD=D4e(),UEt=oD(),VEt=qEt(\"ftyp\");F4e.exports=function(e){if(BEt(e,4,VEt)){var t=sD.unbox(e,0);if(t){var r=sD.getMimeType(t.data);if(r){for(var n,i=t.end;;){var a=sD.unbox(e,i);if(!a)break;if(i=a.end,a.boxtype===\"mdat\")return;if(a.boxtype===\"meta\"){n=a.data;break}}if(n){var o=sD.readSizeFromMeta(n);if(o){var s={width:o.width,height:o.height,type:r.type,mime:r.mime,wUnits:\"px\",hUnits:\"px\"};if(o.variants.length>1&&(s.variants=o.variants),o.orientation&&(s.orientation=o.orientation),o.exif_location&&o.exif_location.offset+o.exif_location.length<=e.length){var l=NEt(e,o.exif_location.offset),u=e.slice(o.exif_location.offset+l+4,o.exif_location.offset+o.exif_location.length),c=UEt.get_orientation(u);c>0&&(s.orientation=c)}return s}}}}}}});var B4e=ye((Thr,q4e)=>{\"use strict\";var GEt=rc().str2arr,HEt=rc().sliceEq,O4e=rc().readUInt16LE,jEt=GEt(\"BM\");q4e.exports=function(e){if(!(e.length<26)&&HEt(e,0,jEt))return{width:O4e(e,18),height:O4e(e,22),type:\"bmp\",mime:\"image/bmp\",wUnits:\"px\",hUnits:\"px\"}}});var H4e=ye((Ahr,G4e)=>{\"use strict\";var V4e=rc().str2arr,N4e=rc().sliceEq,U4e=rc().readUInt16LE,WEt=V4e(\"GIF87a\"),XEt=V4e(\"GIF89a\");G4e.exports=function(e){if(!(e.length<10)&&!(!N4e(e,0,WEt)&&!N4e(e,0,XEt)))return{width:U4e(e,6),height:U4e(e,8),type:\"gif\",mime:\"image/gif\",wUnits:\"px\",hUnits:\"px\"}}});var X4e=ye((Shr,W4e)=>{\"use strict\";var aW=rc().readUInt16LE,ZEt=0,YEt=1,j4e=16;W4e.exports=function(e){var t=aW(e,0),r=aW(e,2),n=aW(e,4);if(!(t!==ZEt||r!==YEt||!n)){for(var i=[],a={width:0,height:0},o=0;o<n;o++){var s=e[6+j4e*o]||256,l=e[6+j4e*o+1]||256,u={width:s,height:l};i.push(u),(s>a.width||l>a.height)&&(a=u)}return{width:a.width,height:a.height,variants:i,type:\"ico\",mime:\"image/x-icon\",wUnits:\"px\",hUnits:\"px\"}}}});var Y4e=ye((Mhr,Z4e)=>{\"use strict\";var oW=rc().readUInt16BE,KEt=rc().str2arr,JEt=rc().sliceEq,$Et=oD(),QEt=KEt(\"Exif\\0\\0\");Z4e.exports=function(e){if(!(e.length<2)&&!(e[0]!==255||e[1]!==216||e[2]!==255))for(var t=2;;){for(;;){if(e.length-t<2)return;if(e[t++]===255)break}for(var r=e[t++],n;r===255;)r=e[t++];if(208<=r&&r<=217||r===1)n=0;else if(192<=r&&r<=254){if(e.length-t<2)return;n=oW(e,t)-2,t+=2}else return;if(r===217||r===218)return;var i;if(r===225&&n>=10&&JEt(e,t,QEt)&&(i=$Et.get_orientation(e.slice(t+6,t+n))),n>=5&&192<=r&&r<=207&&r!==196&&r!==200&&r!==204){if(e.length-t<n)return;var a={width:oW(e,t+3),height:oW(e,t+1),type:\"jpg\",mime:\"image/jpeg\",wUnits:\"px\",hUnits:\"px\"};return i>0&&(a.orientation=i),a}t+=n}}});var eEe=ye((Ehr,Q4e)=>{\"use strict\";var $4e=rc().str2arr,K4e=rc().sliceEq,J4e=rc().readUInt32BE,eCt=$4e(`\\x89PNG\\r\n",
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       "`),tCt=$4e(\"IHDR\");Q4e.exports=function(e){if(!(e.length<24)&&K4e(e,0,eCt)&&K4e(e,12,tCt))return{width:J4e(e,16),height:J4e(e,20),type:\"png\",mime:\"image/png\",wUnits:\"px\",hUnits:\"px\"}}});var iEe=ye((Chr,rEe)=>{\"use strict\";var rCt=rc().str2arr,iCt=rc().sliceEq,tEe=rc().readUInt32BE,nCt=rCt(\"8BPS\\0\u0001\");rEe.exports=function(e){if(!(e.length<22)&&iCt(e,0,nCt))return{width:tEe(e,18),height:tEe(e,14),type:\"psd\",mime:\"image/vnd.adobe.photoshop\",wUnits:\"px\",hUnits:\"px\"}}});var oEe=ye((khr,aEe)=>{\"use strict\";function aCt(e){return e===32||e===9||e===13||e===10}function yA(e){return typeof e==\"number\"&&isFinite(e)&&e>0}function oCt(e){var t=0,r=e.length;for(e[0]===239&&e[1]===187&&e[2]===191&&(t=3);t<r&&aCt(e[t]);)t++;return t===r?!1:e[t]===60}var sCt=/<[-_.:a-zA-Z0-9][^>]*>/,lCt=/^<([-_.:a-zA-Z0-9]+:)?svg\\s/,uCt=/[^-]\\bwidth=\"([^%]+?)\"|[^-]\\bwidth='([^%]+?)'/,cCt=/\\bheight=\"([^%]+?)\"|\\bheight='([^%]+?)'/,fCt=/\\bview[bB]ox=\"(.+?)\"|\\bview[bB]ox='(.+?)'/,nEe=/in$|mm$|cm$|pt$|pc$|px$|em$|ex$/;function hCt(e){var t=e.match(uCt),r=e.match(cCt),n=e.match(fCt);return{width:t&&(t[1]||t[2]),height:r&&(r[1]||r[2]),viewbox:n&&(n[1]||n[2])}}function Nm(e){return nEe.test(e)?e.match(nEe)[0]:\"px\"}aEe.exports=function(e){if(oCt(e)){for(var t=\"\",r=0;r<e.length;r++)t+=String.fromCharCode(e[r]);var n=(t.match(sCt)||[\"\"])[0];if(lCt.test(n)){var i=hCt(n),a=parseFloat(i.width),o=parseFloat(i.height);if(i.width&&i.height)return!yA(a)||!yA(o)?void 0:{width:a,height:o,type:\"svg\",mime:\"image/svg+xml\",wUnits:Nm(i.width),hUnits:Nm(i.height)};var s=(i.viewbox||\"\").split(\" \"),l={width:s[2],height:s[3]},u=parseFloat(l.width),c=parseFloat(l.height);if(!(!yA(u)||!yA(c))&&Nm(l.width)===Nm(l.height)){var f=u/c;return i.width?yA(a)?{width:a,height:a/f,type:\"svg\",mime:\"image/svg+xml\",wUnits:Nm(i.width),hUnits:Nm(i.width)}:void 0:i.height?yA(o)?{width:o*f,height:o,type:\"svg\",mime:\"image/svg+xml\",wUnits:Nm(i.height),hUnits:Nm(i.height)}:void 0:{width:u,height:c,type:\"svg\",mime:\"image/svg+xml\",wUnits:Nm(l.width),hUnits:Nm(l.height)}}}}}});var fEe=ye((Lhr,cEe)=>{\"use strict\";var uEe=rc().str2arr,sEe=rc().sliceEq,dCt=rc().readUInt16LE,vCt=rc().readUInt16BE,pCt=rc().readUInt32LE,gCt=rc().readUInt32BE,mCt=uEe(\"II*\\0\"),yCt=uEe(\"MM\\0*\");function lD(e,t,r){return r?vCt(e,t):dCt(e,t)}function sW(e,t,r){return r?gCt(e,t):pCt(e,t)}function lEe(e,t,r){var n=lD(e,t+2,r),i=sW(e,t+4,r);return i!==1||n!==3&&n!==4?null:n===3?lD(e,t+8,r):sW(e,t+8,r)}cEe.exports=function(e){if(!(e.length<8)&&!(!sEe(e,0,mCt)&&!sEe(e,0,yCt))){var t=e[0]===77,r=sW(e,4,t)-8;if(!(r<0)){var n=r+8;if(!(e.length-n<2)){var i=lD(e,n+0,t)*12;if(!(i<=0)&&(n+=2,!(e.length-n<i))){var a,o,s,l;for(a=0;a<i;a+=12)l=lD(e,n+a,t),l===256?o=lEe(e,n+a,t):l===257&&(s=lEe(e,n+a,t));if(o&&s)return{width:o,height:s,type:\"tiff\",mime:\"image/tiff\",wUnits:\"px\",hUnits:\"px\"}}}}}}});var gEe=ye((Phr,pEe)=>{\"use strict\";var vEe=rc().str2arr,hEe=rc().sliceEq,dEe=rc().readUInt16LE,lW=rc().readUInt32LE,_Ct=oD(),xCt=vEe(\"RIFF\"),bCt=vEe(\"WEBP\");function wCt(e,t){if(!(e[t+3]!==157||e[t+4]!==1||e[t+5]!==42))return{width:dEe(e,t+6)&16383,height:dEe(e,t+8)&16383,type:\"webp\",mime:\"image/webp\",wUnits:\"px\",hUnits:\"px\"}}function TCt(e,t){if(e[t]===47){var r=lW(e,t+1);return{width:(r&16383)+1,height:(r>>14&16383)+1,type:\"webp\",mime:\"image/webp\",wUnits:\"px\",hUnits:\"px\"}}}function ACt(e,t){return{width:(e[t+6]<<16|e[t+5]<<8|e[t+4])+1,height:(e[t+9]<<t|e[t+8]<<8|e[t+7])+1,type:\"webp\",mime:\"image/webp\",wUnits:\"px\",hUnits:\"px\"}}pEe.exports=function(e){if(!(e.length<16)&&!(!hEe(e,0,xCt)&&!hEe(e,8,bCt))){var t=12,r=null,n=0,i=lW(e,4)+8;if(!(i>e.length)){for(;t+8<i;){if(e[t]===0){t++;continue}var a=String.fromCharCode.apply(null,e.slice(t,t+4)),o=lW(e,t+4);a===\"VP8 \"&&o>=10?r=r||wCt(e,t+8):a===\"VP8L\"&&o>=9?r=r||TCt(e,t+8):a===\"VP8X\"&&o>=10?r=r||ACt(e,t+8):a===\"EXIF\"&&(n=_Ct.get_orientation(e.slice(t+8,t+8+o)),t=1/0),t+=8+o}if(r)return n>0&&(r.orientation=n),r}}}});var yEe=ye((Ihr,mEe)=>{\"use strict\";mEe.exports={avif:z4e(),bmp:B4e(),gif:H4e(),ico:X4e(),jpeg:Y4e(),png:eEe(),psd:iEe(),svg:oEe(),tiff:fEe(),webp:gEe()}});var _Ee=ye((Rhr,cW)=>{\"use strict\";var uW=yEe();function SCt(e){for(var t=Object.keys(uW),r=0;r<t.length;r++){var n=uW[t[r]](e);if(n)return n}return null}cW.exports=function(t){return SCt(t)};cW.exports.parsers=uW});var bEe=ye(xEe=>{\"use strict\";var MCt=_Ee(),ECt=Ly().IMAGE_URL_PREFIX,CCt=u2().Buffer;xEe.getImageSize=function(e){var t=e.replace(ECt,\"\"),r=new CCt(t,\"base64\");return MCt(r)}});var AEe=ye((Fhr,TEe)=>{\"use strict\";var 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l=Math.floor((r-i.x0)/a.dx),u=Math.floor(Math.abs(n-i.y0)/a.dy),c;if(a._hasZ?c=i.z[u][l]:a._hasSource&&(c=a._canvas.el.getContext(\"2d\",{willReadFrequently:!0}).getImageData(l,u,1,1).data),!!c){var f=i.hi||a.hoverinfo,h;if(f){var d=f.split(\"+\");d.indexOf(\"all\")!==-1&&(d=[\"color\"]),d.indexOf(\"color\")!==-1&&(h=!0)}var v=VCt.colormodel[a.colormodel],x=v.colormodel||a.colormodel,b=x.length,p=a._scaler(c),C=v.suffix,E=[];(a.hovertemplate||h)&&(E.push(\"[\"+[p[0]+C[0],p[1]+C[1],p[2]+C[2]].join(\", \")),b===4&&E.push(\", \"+p[3]+C[3]),E.push(\"]\"),E=E.join(\"\"),t.extraText=x.toUpperCase()+\": \"+E);var A;cD(a.hovertext)&&cD(a.hovertext[u])?A=a.hovertext[u][l]:cD(a.text)&&cD(a.text[u])&&(A=a.text[u][l]);var L=s.c2p(i.y0+(u+.5)*a.dy),_=i.x0+(l+.5)*a.dx,k=i.y0+(u+.5)*a.dy,M=\"[\"+c.slice(0,a.colormodel.length).join(\", 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GCt=Vl(),HCt=kc().attributes,jCt=ec(),WCt=Eh(),XCt=Qo().hovertemplateAttrs,ZCt=Qo().texttemplateAttrs,ME=Ao().extendFlat,YCt=Pd().pattern,fD=jCt({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});NEe.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:WCt.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},pattern:YCt,editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:ME({},GCt.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:XCt({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:ZCt({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:ME({},fD,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:ME({},fD,{}),outsidetextfont:ME({},fD,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:ME({},fD,{}),position:{valType:\"enumerated\",values:[\"top 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a=n(\"marker.line.width\");a&&n(\"marker.line.color\",i?void 0:r.paper_bgcolor);var o=n(\"marker.colors\");ekt(n,\"marker.pattern\",o),e.marker&&!t.marker.pattern.fgcolor&&(t.marker.pattern.fgcolor=e.marker.colors),t.marker.pattern.bgcolor||(t.marker.pattern.bgcolor=r.paper_bgcolor)}function tkt(e,t,r,n){function i(C,E){return EE.coerce(e,t,JCt,C,E)}var a=i(\"labels\"),o=i(\"values\"),s=UEe(a,o),l=s.len;if(t._hasLabels=s.hasLabels,t._hasValues=s.hasValues,!t._hasLabels&&t._hasValues&&(i(\"label0\"),i(\"dlabel\")),!l){t.visible=!1;return}t._length=l,VEe(e,t,n,i,!0),i(\"scalegroup\");var u=i(\"text\"),c=i(\"texttemplate\"),f;if(c||(f=i(\"textinfo\",EE.isArrayOrTypedArray(u)?\"text+percent\":\"percent\")),i(\"hovertext\"),i(\"hovertemplate\"),c||f&&f!==\"none\"){var h=i(\"textposition\");QCt(e,t,n,i,h,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1});var d=Array.isArray(h)||h===\"auto\",v=d||h===\"outside\";v&&i(\"automargin\"),(h===\"inside\"||h===\"auto\"||Array.isArray(h))&&i(\"insidetextorientation\")}else f===\"none\"&&i(\"textposition\",\"none\");$Ct(t,n,i);var x=i(\"hole\"),b=i(\"title.text\");if(b){var p=i(\"title.position\",x?\"middle center\":\"top center\");!x&&p===\"middle center\"&&(t.title.position=\"top center\"),EE.coerceFont(i,\"title.font\",n.font)}i(\"sort\"),i(\"direction\"),i(\"rotation\"),i(\"pull\")}GEe.exports={handleLabelsAndValues:UEe,handleMarkerDefaults:VEe,supplyDefaults:tkt}});var hD=ye((Hhr,HEe)=>{\"use strict\";HEe.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}});var WEe=ye((jhr,jEe)=>{\"use strict\";var rkt=Dr(),ikt=hD();jEe.exports=function(t,r){function n(i,a){return 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function(r,n){return!r||(r=fW(r),!r.isValid())?!1:(r=akt.addOpacity(r,r.getAlpha()),e[n]||(e[n]=r),r)}}function lkt(e,t){var r=(t||{}).type;r||(r=\"pie\");var n=e._fullLayout,i=e.calcdata,a=n[r+\"colorway\"],o=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=ZEe(a,okt));for(var s=0,l=0;l<i.length;l++){var u=i[l],c=u[0].trace.type;if(c===r)for(var f=0;f<u.length;f++){var h=u[f];h.color===!1&&(o[h.label]?h.color=o[h.label]:(o[h.label]=h.color=a[s%a.length],s++))}}}function ZEe(e,t){var r,n=JSON.stringify(e),i=t[n];if(!i){for(i=e.slice(),r=0;r<e.length;r++)i.push(fW(e[r]).lighten(20).toHexString());for(r=0;r<e.length;r++)i.push(fW(e[r]).darken(20).toHexString());t[n]=i}return i}YEe.exports={calc:skt,crossTraceCalc:lkt,makePullColorFn:XEe,generateExtendedColors:ZEe}});var JEe=ye((Xhr,KEe)=>{\"use strict\";var ukt=rp().appendArrayMultiPointValues;KEe.exports=function(t,r){var n={curveNumber:r.index,pointNumbers:t.pts,data:r._input,fullData:r,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return t.pts.length===1&&(n.pointNumber=n.i=t.pts[0]),ukt(n,r,t.pts),r.type===\"funnelarea\"&&(delete n.v,delete n.i),n}});var gD=ye((Zhr,yCe)=>{\"use strict\";var Dp=Oa(),ckt=Mc(),dD=vf(),iCe=Ca(),Wy=So(),rv=Dr(),fkt=rv.strScale,$Ee=rv.strTranslate,hW=iu(),nCe=_v(),hkt=nCe.recordMinTextSize,dkt=nCe.clearMinTextSize,aCe=Qb().TEXTPAD,as=u_(),vD=JEe(),QEe=Dr().isValidTextValue;function vkt(e,t){var r=e._context.staticPlot,n=e._fullLayout,i=n._size;dkt(\"pie\",n),lCe(t,e),pCe(t,i);var a=rv.makeTraceGroups(n._pielayer,t,\"trace\").each(function(o){var s=Dp.select(this),l=o[0],u=l.trace;Tkt(o),s.attr(\"stroke-linejoin\",\"round\"),s.each(function(){var c=Dp.select(this).selectAll(\"g.slice\").data(o);c.enter().append(\"g\").classed(\"slice\",!0),c.exit().remove();var 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v=Wy.bBox(s.node()),x=u.domain,b=i.w*(x.x[1]-x.x[0]),p=i.h*(x.y[1]-x.y[0]),C=(.5*b-l.r)/i.w,E=(.5*p-l.r)/i.h;ckt.autoMargin(e,\"pie.\"+u.uid+\".automargin\",{xl:x.x[0]-C,xr:x.x[1]+C,yb:x.y[0]-E,yt:x.y[1]+E,l:Math.max(l.cx-l.r-v.left,0),r:Math.max(v.right-(l.cx+l.r),0),b:Math.max(v.bottom-(l.cy+l.r),0),t:Math.max(l.cy-l.r-v.top,0),pad:5})}})});setTimeout(function(){a.selectAll(\"tspan\").each(function(){var o=Dp.select(this);o.attr(\"dy\")&&o.attr(\"dy\",o.attr(\"dy\"))})},0)}function pkt(e,t){e.each(function(r){var n=Dp.select(this);if(!r.labelExtraX&&!r.labelExtraY){n.select(\"path.textline\").remove();return}var i=n.select(\"g.slicetext text\");r.transform.targetX+=r.labelExtraX,r.transform.targetY+=r.labelExtraY,rv.setTransormAndDisplay(i,r.transform);var a=r.cxFinal+r.pxmid[0],o=r.cyFinal+r.pxmid[1],s=\"M\"+a+\",\"+o,l=(r.yLabelMax-r.yLabelMin)*(r.pxmid[0]<0?-1:1)/4;if(r.labelExtraX){var u=r.labelExtraX*r.pxmid[1]/r.pxmid[0],c=r.yLabelMid+r.labelExtraY-(r.cyFinal+r.pxmid[1]);Math.abs(u)>Math.abs(c)?s+=\"l\"+c*r.pxmid[0]/r.pxmid[1]+\",\"+c+\"H\"+(a+r.labelExtraX+l):s+=\"l\"+r.labelExtraX+\",\"+u+\"v\"+(c-u)+\"h\"+l}else s+=\"V\"+(r.yLabelMid+r.labelExtraY)+\"h\"+l;rv.ensureSingle(n,\"path\",\"textline\").call(iCe.stroke,t.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,t.outsidetextfont.size/8),d:s,fill:\"none\"})})}function oCe(e,t,r){var n=r[0],i=n.cx,a=n.cy,o=n.trace,s=o.type===\"funnelarea\";\"_hasHoverLabel\"in o||(o._hasHoverLabel=!1),\"_hasHoverEvent\"in o||(o._hasHoverEvent=!1),e.on(\"mouseover\",function(l){var u=t._fullLayout,c=t._fullData[o.index];if(!(t._dragging||u.hovermode===!1)){var f=c.hoverinfo;if(Array.isArray(f)&&(f=dD.castHoverinfo({hoverinfo:[as.castOption(f,l.pts)],_module:o._module},u,0)),f===\"all\"&&(f=\"label+text+value+percent+name\"),c.hovertemplate||f!==\"none\"&&f!==\"skip\"&&f){var h=l.rInscribed||0,d=i+l.pxmid[0]*(1-h),v=a+l.pxmid[1]*(1-h),x=u.separators,b=[];if(f&&f.indexOf(\"label\")!==-1&&b.push(l.label),l.text=as.castOption(c.hovertext||c.text,l.pts),f&&f.indexOf(\"text\")!==-1){var p=l.text;rv.isValidTextValue(p)&&b.push(p)}l.value=l.v,l.valueLabel=as.formatPieValue(l.v,x),f&&f.indexOf(\"value\")!==-1&&b.push(l.valueLabel),l.percent=l.v/n.vTotal,l.percentLabel=as.formatPiePercent(l.percent,x),f&&f.indexOf(\"percent\")!==-1&&b.push(l.percentLabel);var C=c.hoverlabel,E=C.font,A=[];dD.loneHover({trace:o,x0:d-h*n.r,x1:d+h*n.r,y:v,_x0:s?i+l.TL[0]:d-h*n.r,_x1:s?i+l.TR[0]:d+h*n.r,_y0:s?a+l.TL[1]:v-h*n.r,_y1:s?a+l.BL[1]:v+h*n.r,text:b.join(\"<br>\"),name:c.hovertemplate||f.indexOf(\"name\")!==-1?c.name:void 0,idealAlign:l.pxmid[0]<0?\"left\":\"right\",color:as.castOption(C.bgcolor,l.pts)||l.color,borderColor:as.castOption(C.bordercolor,l.pts),fontFamily:as.castOption(E.family,l.pts),fontSize:as.castOption(E.size,l.pts),fontColor:as.castOption(E.color,l.pts),nameLength:as.castOption(C.namelength,l.pts),textAlign:as.castOption(C.align,l.pts),hovertemplate:as.castOption(c.hovertemplate,l.pts),hovertemplateLabels:l,eventData:[vD(l,c)]},{container:u._hoverlayer.node(),outerContainer:u._paper.node(),gd:t,inOut_bbox:A}),l.bbox=A[0],o._hasHoverLabel=!0}o._hasHoverEvent=!0,t.emit(\"plotly_hover\",{points:[vD(l,c)],event:Dp.event})}}),e.on(\"mouseout\",function(l){var u=t._fullLayout,c=t._fullData[o.index],f=Dp.select(this).datum();o._hasHoverEvent&&(l.originalEvent=Dp.event,t.emit(\"plotly_unhover\",{points:[vD(f,c)],event:Dp.event}),o._hasHoverEvent=!1),o._hasHoverLabel&&(dD.loneUnhover(u._hoverlayer.node()),o._hasHoverLabel=!1)}),e.on(\"click\",function(l){var u=t._fullLayout,c=t._fullData[o.index];t._dragging||u.hovermode===!1||(t._hoverdata=[vD(l,c)],dD.click(t,Dp.event))})}function gkt(e,t,r){var n=as.castOption(e.outsidetextfont.color,t.pts)||as.castOption(e.textfont.color,t.pts)||r.color,i=as.castOption(e.outsidetextfont.family,t.pts)||as.castOption(e.textfont.family,t.pts)||r.family,a=as.castOption(e.outsidetextfont.size,t.pts)||as.castOption(e.textfont.size,t.pts)||r.size,o=as.castOption(e.outsidetextfont.weight,t.pts)||as.castOption(e.textfont.weight,t.pts)||r.weight,s=as.castOption(e.outsidetextfont.style,t.pts)||as.castOption(e.textfont.style,t.pts)||r.style,l=as.castOption(e.outsidetextfont.variant,t.pts)||as.castOption(e.textfont.variant,t.pts)||r.variant,u=as.castOption(e.outsidetextfont.textcase,t.pts)||as.castOption(e.textfont.textcase,t.pts)||r.textcase,c=as.castOption(e.outsidetextfont.lineposition,t.pts)||as.castOption(e.textfont.lineposition,t.pts)||r.lineposition,f=as.castOption(e.outsidetextfont.shadow,t.pts)||as.castOption(e.textfont.shadow,t.pts)||r.shadow;return{color:n,family:i,size:a,weight:o,style:s,variant:l,textcase:u,lineposition:c,shadow:f}}function sCe(e,t,r){var n=as.castOption(e.insidetextfont.color,t.pts);!n&&e._input.textfont&&(n=as.castOption(e._input.textfont.color,t.pts));var i=as.castOption(e.insidetextfont.family,t.pts)||as.castOption(e.textfont.family,t.pts)||r.family,a=as.castOption(e.insidetextfont.size,t.pts)||as.castOption(e.textfont.size,t.pts)||r.size,o=as.castOption(e.insidetextfont.weight,t.pts)||as.castOption(e.textfont.weight,t.pts)||r.weight,s=as.castOption(e.insidetextfont.style,t.pts)||as.castOption(e.textfont.style,t.pts)||r.style,l=as.castOption(e.insidetextfont.variant,t.pts)||as.castOption(e.textfont.variant,t.pts)||r.variant,u=as.castOption(e.insidetextfont.textcase,t.pts)||as.castOption(e.textfont.textcase,t.pts)||r.textcase,c=as.castOption(e.insidetextfont.lineposition,t.pts)||as.castOption(e.textfont.lineposition,t.pts)||r.lineposition,f=as.castOption(e.insidetextfont.shadow,t.pts)||as.castOption(e.textfont.shadow,t.pts)||r.shadow;return{color:n||iCe.contrast(t.color),family:i,size:a,weight:o,style:s,variant:l,textcase:u,lineposition:c,shadow:f}}function lCe(e,t){for(var r,n,i=0;i<e.length;i++)if(r=e[i][0],n=r.trace,n.title.text){var a=n.title.text;n._meta&&(a=rv.templateString(a,n._meta));var o=Wy.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(Wy.font,n.title.font).call(hW.convertToTspans,t),s=Wy.bBox(o.node(),!0);r.titleBox={width:s.width,height:s.height},o.remove()}}function uCe(e,t,r){var n=r.r||t.rpx1,i=t.rInscribed,a=t.startangle===t.stopangle;if(a)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var o=t.ring,s=o===1&&Math.abs(t.startangle-t.stopangle)===Math.PI*2,l=t.halfangle,u=t.midangle,c=r.trace.insidetextorientation,f=c===\"horizontal\",h=c===\"tangential\",d=c===\"radial\",v=c===\"auto\",x=[],b;if(!v){var p=function(M,g){if(mkt(t,M)){var P=Math.abs(M-t.startangle),T=Math.abs(M-t.stopangle),z=P<T?P:T;g===\"tan\"?b=tCe(e,n,o,z,0):b=eCe(e,n,o,z,Math.PI/2),b.textPosAngle=M,x.push(b)}},C;if(f||h){for(C=4;C>=-4;C-=2)p(Math.PI*C,\"tan\");for(C=4;C>=-4;C-=2)p(Math.PI*(C+1),\"tan\")}if(f||d){for(C=4;C>=-4;C-=2)p(Math.PI*(C+1.5),\"rad\");for(C=4;C>=-4;C-=2)p(Math.PI*(C+.5),\"rad\")}}if(s||v||f){var E=Math.sqrt(e.width*e.width+e.height*e.height);if(b={scale:i*n*2/E,rCenter:1-i,rotate:0},b.textPosAngle=(t.startangle+t.stopangle)/2,b.scale>=1)return b;x.push(b)}(v||d)&&(b=eCe(e,n,o,l,u),b.textPosAngle=(t.startangle+t.stopangle)/2,x.push(b)),(v||h)&&(b=tCe(e,n,o,l,u),b.textPosAngle=(t.startangle+t.stopangle)/2,x.push(b));for(var A=0,L=0,_=0;_<x.length;_++){var k=x[_].scale;if(L<k&&(L=k,A=_),!v&&L>=1)break}return x[A]}function mkt(e,t){var r=e.startangle,n=e.stopangle;return r>t&&t>n||r<t&&t<n}function eCe(e,t,r,n,i){t=Math.max(0,t-2*aCe);var a=e.width/e.height,o=hCe(a,n,t,r);return{scale:o*2/e.height,rCenter:cCe(a,o/t),rotate:fCe(i)}}function tCe(e,t,r,n,i){t=Math.max(0,t-2*aCe);var a=e.height/e.width,o=hCe(a,n,t,r);return{scale:o*2/e.width,rCenter:cCe(a,o/t),rotate:fCe(i+Math.PI/2)}}function cCe(e,t){return Math.cos(t)-e*t}function fCe(e){return(180/Math.PI*e+720)%180-90}function hCe(e,t,r,n){var i=e+1/(2*Math.tan(t));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(e*e+n/2)+e))}function ykt(e,t){return e.v===t.vTotal&&!t.trace.hole?1:Math.min(1/(1+1/Math.sin(e.halfangle)),e.ring/2)}function rCe(e,t){var r=t.pxmid[0],n=t.pxmid[1],i=e.width/2,a=e.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 _kt(e){var t=Math.sqrt(e.titleBox.width*e.titleBox.width+e.titleBox.height*e.titleBox.height);return{x:e.cx,y:e.cy,scale:e.trace.hole*e.r*2/t,tx:0,ty:-e.titleBox.height/2+e.trace.title.font.size}}function dCe(e,t){var r=1,n=1,i,a=e.trace,o={x:e.cx,y:e.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=vCe(a),a.title.position.indexOf(\"top\")!==-1?(o.y-=(1+i)*e.r,s.ty-=e.titleBox.height):a.title.position.indexOf(\"bottom\")!==-1&&(o.y+=(1+i)*e.r);var l=xkt(e.r,e.trace.aspectratio),u=t.w*(a.domain.x[1]-a.domain.x[0])/2;return a.title.position.indexOf(\"left\")!==-1?(u=u+l,o.x-=(1+i)*l,s.tx+=e.titleBox.width/2):a.title.position.indexOf(\"center\")!==-1?u*=2:a.title.position.indexOf(\"right\")!==-1&&(u=u+l,o.x+=(1+i)*l,s.tx-=e.titleBox.width/2),r=u/e.titleBox.width,n=dW(e,t)/e.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function xkt(e,t){return e/(t===void 0?1:t)}function dW(e,t){var r=e.trace,n=t.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(e.titleBox.height,n/2)}function vCe(e){var t=e.pull;if(!t)return 0;var r;if(rv.isArrayOrTypedArray(t))for(t=0,r=0;r<e.pull.length;r++)e.pull[r]>t&&(t=e.pull[r]);return t}function bkt(e,t){var r,n,i,a,o,s,l,u,c,f,h,d,v;function x(E,A){return E.pxmid[1]-A.pxmid[1]}function b(E,A){return A.pxmid[1]-E.pxmid[1]}function p(E,A){A||(A={});var L=A.labelExtraY+(n?A.yLabelMax:A.yLabelMin),_=n?E.yLabelMin:E.yLabelMax,k=n?E.yLabelMax:E.yLabelMin,M=E.cyFinal+o(E.px0[1],E.px1[1]),g=L-_,P,T,z,O,V,G;if(g*l>0&&(E.labelExtraY=g),!!rv.isArrayOrTypedArray(t.pull))for(T=0;T<f.length;T++)z=f[T],!(z===E||(as.castOption(t.pull,E.pts)||0)>=(as.castOption(t.pull,z.pts)||0))&&((E.pxmid[1]-z.pxmid[1])*l>0?(O=z.cyFinal+o(z.px0[1],z.px1[1]),g=O-_-E.labelExtraY,g*l>0&&(E.labelExtraY+=g)):(k+E.labelExtraY-M)*l>0&&(P=3*s*Math.abs(T-f.indexOf(E)),V=z.cxFinal+a(z.px0[0],z.px1[0]),G=V+P-(E.cxFinal+E.pxmid[0])-E.labelExtraX,G*s>0&&(E.labelExtraX+=G)))}for(n=0;n<2;n++)for(i=n?x:b,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,u=e[n][r],u.sort(i),c=e[1-n][r],f=c.concat(u),d=[],h=0;h<u.length;h++)u[h].yLabelMid!==void 0&&d.push(u[h]);for(v=!1,h=0;n&&h<c.length;h++)if(c[h].yLabelMid!==void 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s=i.separators,l=n[0],u=e.data.data,c=l.hierarchy,f=Il.isHierarchyRoot(e),h=Il.getParent(c,e),d=Il.getValue(e);if(!a){var v=o.split(\"+\"),x=function(g){return v.indexOf(g)!==-1},b=[],p;if(x(\"label\")&&u.label&&b.push(u.label),u.hasOwnProperty(\"v\")&&x(\"value\")&&b.push(Il.formatValue(u.v,s)),!f){x(\"current path\")&&b.push(Il.getPath(e.data));var C=0;x(\"percent parent\")&&C++,x(\"percent entry\")&&C++,x(\"percent root\")&&C++;var E=C>1;if(C){var A,L=function(g){p=Il.formatPercent(A,s),E&&(p+=\" of \"+g),b.push(p)};x(\"percent parent\")&&!f&&(A=d/Il.getValue(h),L(\"parent\")),x(\"percent entry\")&&(A=d/Il.getValue(t),L(\"entry\")),x(\"percent root\")&&(A=d/Il.getValue(c),L(\"root\"))}}return x(\"text\")&&(p=bv.castOption(r,u.i,\"text\"),bv.isValidTextValue(p)&&b.push(p)),b.join(\"<br>\")}var _=bv.castOption(r,u.i,\"texttemplate\");if(!_)return\"\";var 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B6t=Qo().hovertemplateAttrs,N6t=Qo().texttemplateAttrs,U6t=Tu(),V6t=kc().attributes,z2=A2(),Q0=kE(),b6e=F2(),NW=Ao().extendFlat,G6t=Pd().pattern;w6e.exports={labels:Q0.labels,parents:Q0.parents,values:Q0.values,branchvalues:Q0.branchvalues,count:Q0.count,level:Q0.level,maxdepth:Q0.maxdepth,tiling:{packing:{valType:\"enumerated\",values:[\"squarify\",\"binary\",\"dice\",\"slice\",\"slice-dice\",\"dice-slice\"],dflt:\"squarify\",editType:\"plot\"},squarifyratio:{valType:\"number\",min:1,dflt:1,editType:\"plot\"},flip:{valType:\"flaglist\",flags:[\"x\",\"y\"],dflt:\"\",editType:\"plot\"},pad:{valType:\"number\",min:0,dflt:3,editType:\"plot\"},editType:\"calc\"},marker:NW({pad:{t:{valType:\"number\",min:0,editType:\"plot\"},l:{valType:\"number\",min:0,editType:\"plot\"},r:{valType:\"number\",min:0,editType:\"plot\"},b:{valType:\"number\",min:0,editType:\"plot\"},editType:\"calc\"},colors:Q0.marker.colors,pattern:G6t,depthfade:{valType:\"enumerated\",values:[!0,!1,\"reversed\"],editType:\"style\"},line:Q0.marker.line,cornerradius:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"calc\"},U6t(\"marker\",{colorAttr:\"colors\",anim:!1})),pathbar:{visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},side:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},edgeshape:{valType:\"enumerated\",values:[\">\",\"<\",\"|\",\"/\",\"\\\\\"],dflt:\">\",editType:\"plot\"},thickness:{valType:\"number\",min:12,editType:\"plot\"},textfont:NW({},z2.textfont,{}),editType:\"calc\"},text:z2.text,textinfo:Q0.textinfo,texttemplate:N6t({editType:\"plot\"},{keys:b6e.eventDataKeys.concat([\"label\",\"value\"])}),hovertext:z2.hovertext,hoverinfo:Q0.hoverinfo,hovertemplate:B6t({},{keys:b6e.eventDataKeys}),textfont:z2.textfont,insidetextfont:z2.insidetextfont,outsidetextfont:NW({},z2.outsidetextfont,{}),textposition:{valType:\"enumerated\",values:[\"top 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u=a(\"tiling.packing\");u===\"squarify\"&&a(\"tiling.squarifyratio\"),a(\"tiling.flip\"),a(\"tiling.pad\");var c=a(\"text\");a(\"texttemplate\"),r.texttemplate||a(\"textinfo\",A6e.isArrayOrTypedArray(c)?\"text+label\":\"label\"),a(\"hovertext\"),a(\"hovertemplate\");var f=a(\"pathbar.visible\"),h=\"auto\";X6t(t,r,i,a,h,{hasPathbar:f,moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),a(\"textposition\");var d=r.textposition.indexOf(\"bottom\")!==-1;Y6t(t,r,i,a);var v=r._hasColorscale=K6t(t,\"marker\",\"colors\")||(t.marker||{}).coloraxis;v?J6t(t,r,i,a,{prefix:\"marker.\",cLetter:\"c\"}):a(\"marker.depthfade\",!(r.marker.colors||[]).length);var x=r.textfont.size*2;a(\"marker.pad.t\",d?x/4:x),a(\"marker.pad.l\",x/4),a(\"marker.pad.r\",x/4),a(\"marker.pad.b\",d?x:x/4),a(\"marker.cornerradius\"),r._hovered={marker:{line:{width:2,color:j6t.contrast(i.paper_bgcolor)}}},f&&(a(\"pathbar.thickness\",r.pathbar.textfont.size+2*Z6t),a(\"pathbar.side\"),a(\"pathbar.edgeshape\")),a(\"sort\"),a(\"root.color\"),W6t(r,i,a),r._length=null}});var k6e=ye((opr,C6e)=>{\"use strict\";var $6t=Dr(),Q6t=UW();C6e.exports=function(t,r){function n(i,a){return $6t.coerce(t,r,Q6t,i,a)}n(\"treemapcolorway\",r.colorway),n(\"extendtreemapcolors\")}});var GW=ye(VW=>{\"use strict\";var L6e=IE();VW.calc=function(e,t){return L6e.calc(e,t)};VW.crossTraceCalc=function(e){return L6e._runCrossTraceCalc(\"treemap\",e)}});var HW=ye((lpr,P6e)=>{\"use strict\";P6e.exports=function e(t,r,n){var i;n.swapXY&&(i=t.x0,t.x0=t.y0,t.y0=i,i=t.x1,t.x1=t.y1,t.y1=i),n.flipX&&(i=t.x0,t.x0=r[0]-t.x1,t.x1=r[0]-i),n.flipY&&(i=t.y0,t.y0=r[1]-t.y1,t.y1=r[1]-i);var 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nr=Ce+this[++xe]*Math.pow(2,8)+this[++xe]*Math.pow(2,16)+this[++xe]*Math.pow(2,24),ir=this[++xe]+this[++xe]*Math.pow(2,8)+this[++xe]*Math.pow(2,16)+vt*Math.pow(2,24);return BigInt(nr)+(BigInt(ir)<<BigInt(32))}),T.prototype.readBigUInt64BE=$e(function(xe){xe=xe>>>0,yt(xe,\"offset\");var Ce=this[xe],vt=this[xe+7];(Ce===void 0||vt===void 0)&&Yt(xe,this.length-8);var nr=Ce*Math.pow(2,24)+this[++xe]*Math.pow(2,16)+this[++xe]*Math.pow(2,8)+this[++xe],ir=this[++xe]*Math.pow(2,24)+this[++xe]*Math.pow(2,16)+this[++xe]*Math.pow(2,8)+vt;return(BigInt(nr)<<BigInt(32))+BigInt(ir)}),T.prototype.readIntLE=function(xe,Ce,vt){xe=xe>>>0,Ce=Ce>>>0,vt||Gt(xe,Ce,this.length);for(var nr=this[xe],ir=1,pr=0;++pr<Ce&&(ir*=256);)nr+=this[xe+pr]*ir;return ir*=128,nr>=ir&&(nr-=Math.pow(2,8*Ce)),nr},T.prototype.readIntBE=function(xe,Ce,vt){xe=xe>>>0,Ce=Ce>>>0,vt||Gt(xe,Ce,this.length);for(var nr=Ce,ir=1,pr=this[xe+--nr];nr>0&&(ir*=256);)pr+=this[xe+--nr]*ir;return ir*=128,pr>=ir&&(pr-=Math.pow(2,8*Ce)),pr},T.prototype.readInt8=function(xe,Ce){return xe=xe>>>0,Ce||Gt(xe,1,this.length),this[xe]&128?(255-this[xe]+1)*-1:this[xe]},T.prototype.readInt16LE=function(xe,Ce){xe=xe>>>0,Ce||Gt(xe,2,this.length);var vt=this[xe]|this[xe+1]<<8;return vt&32768?vt|4294901760:vt},T.prototype.readInt16BE=function(xe,Ce){xe=xe>>>0,Ce||Gt(xe,2,this.length);var vt=this[xe+1]|this[xe]<<8;return vt&32768?vt|4294901760:vt},T.prototype.readInt32LE=function(xe,Ce){return xe=xe>>>0,Ce||Gt(xe,4,this.length),this[xe]|this[xe+1]<<8|this[xe+2]<<16|this[xe+3]<<24},T.prototype.readInt32BE=function(xe,Ce){return xe=xe>>>0,Ce||Gt(xe,4,this.length),this[xe]<<24|this[xe+1]<<16|this[xe+2]<<8|this[xe+3]},T.prototype.readBigInt64LE=$e(function(xe){xe=xe>>>0,yt(xe,\"offset\");var Ce=this[xe],vt=this[xe+7];(Ce===void 0||vt===void 0)&&Yt(xe,this.length-8);var nr=this[xe+4]+this[xe+5]*Math.pow(2,8)+this[xe+6]*Math.pow(2,16)+(vt<<24);return(BigInt(nr)<<BigInt(32))+BigInt(Ce+this[++xe]*Math.pow(2,8)+this[++xe]*Math.pow(2,16)+this[++xe]*Math.pow(2,24))}),T.prototype.readBigInt64BE=$e(function(xe){xe=xe>>>0,yt(xe,\"offset\");var Ce=this[xe],vt=this[xe+7];(Ce===void 0||vt===void 0)&&Yt(xe,this.length-8);var nr=(Ce<<24)+this[++xe]*Math.pow(2,16)+this[++xe]*Math.pow(2,8)+this[++xe];return(BigInt(nr)<<BigInt(32))+BigInt(this[++xe]*Math.pow(2,24)+this[++xe]*Math.pow(2,16)+this[++xe]*Math.pow(2,8)+vt)}),T.prototype.readFloatLE=function(xe,Ce){return xe=xe>>>0,Ce||Gt(xe,4,this.length),_.read(this,xe,!0,23,4)},T.prototype.readFloatBE=function(xe,Ce){return xe=xe>>>0,Ce||Gt(xe,4,this.length),_.read(this,xe,!1,23,4)},T.prototype.readDoubleLE=function(xe,Ce){return xe=xe>>>0,Ce||Gt(xe,8,this.length),_.read(this,xe,!0,52,8)},T.prototype.readDoubleBE=function(xe,Ce){return xe=xe>>>0,Ce||Gt(xe,8,this.length),_.read(this,xe,!1,52,8)};function Nt(Ie,xe,Ce,vt,nr,ir){if(!T.isBuffer(Ie))throw new TypeError('\"buffer\" argument must be a Buffer instance');if(xe>nr||xe<ir)throw new RangeError('\"value\" argument is out of bounds');if(Ce+vt>Ie.length)throw new RangeError(\"Index out of range\")}T.prototype.writeUintLE=T.prototype.writeUIntLE=function(xe,Ce,vt,nr){if(xe=+xe,Ce=Ce>>>0,vt=vt>>>0,!nr){var ir=Math.pow(2,8*vt)-1;Nt(this,xe,Ce,vt,ir,0)}var pr=1,oi=0;for(this[Ce]=xe&255;++oi<vt&&(pr*=256);)this[Ce+oi]=xe/pr&255;return Ce+vt},T.prototype.writeUintBE=T.prototype.writeUIntBE=function(xe,Ce,vt,nr){if(xe=+xe,Ce=Ce>>>0,vt=vt>>>0,!nr){var ir=Math.pow(2,8*vt)-1;Nt(this,xe,Ce,vt,ir,0)}var pr=vt-1,oi=1;for(this[Ce+pr]=xe&255;--pr>=0&&(oi*=256);)this[Ce+pr]=xe/oi&255;return Ce+vt},T.prototype.writeUint8=T.prototype.writeUInt8=function(xe,Ce,vt){return xe=+xe,Ce=Ce>>>0,vt||Nt(this,xe,Ce,1,255,0),this[Ce]=xe&255,Ce+1},T.prototype.writeUint16LE=T.prototype.writeUInt16LE=function(xe,Ce,vt){return xe=+xe,Ce=Ce>>>0,vt||Nt(this,xe,Ce,2,65535,0),this[Ce]=xe&255,this[Ce+1]=xe>>>8,Ce+2},T.prototype.writeUint16BE=T.prototype.writeUInt16BE=function(xe,Ce,vt){return xe=+xe,Ce=Ce>>>0,vt||Nt(this,xe,Ce,2,65535,0),this[Ce]=xe>>>8,this[Ce+1]=xe&255,Ce+2},T.prototype.writeUint32LE=T.prototype.writeUInt32LE=function(xe,Ce,vt){return xe=+xe,Ce=Ce>>>0,vt||Nt(this,xe,Ce,4,4294967295,0),this[Ce+3]=xe>>>24,this[Ce+2]=xe>>>16,this[Ce+1]=xe>>>8,this[Ce]=xe&255,Ce+4},T.prototype.writeUint32BE=T.prototype.writeUInt32BE=function(xe,Ce,vt){return xe=+xe,Ce=Ce>>>0,vt||Nt(this,xe,Ce,4,4294967295,0),this[Ce]=xe>>>24,this[Ce+1]=xe>>>16,this[Ce+2]=xe>>>8,this[Ce+3]=xe&255,Ce+4};function $t(Ie,xe,Ce,vt,nr){bt(xe,vt,nr,Ie,Ce,7);var ir=Number(xe&BigInt(4294967295));Ie[Ce++]=ir,ir=ir>>8,Ie[Ce++]=ir,ir=ir>>8,Ie[Ce++]=ir,ir=ir>>8,Ie[Ce++]=ir;var pr=Number(xe>>BigInt(32)&BigInt(4294967295));return Ie[Ce++]=pr,pr=pr>>8,Ie[Ce++]=pr,pr=pr>>8,Ie[Ce++]=pr,pr=pr>>8,Ie[Ce++]=pr,Ce}function sr(Ie,xe,Ce,vt,nr){bt(xe,vt,nr,Ie,Ce,7);var ir=Number(xe&BigInt(4294967295));Ie[Ce+7]=ir,ir=ir>>8,Ie[Ce+6]=ir,ir=ir>>8,Ie[Ce+5]=ir,ir=ir>>8,Ie[Ce+4]=ir;var pr=Number(xe>>BigInt(32)&BigInt(4294967295));return Ie[Ce+3]=pr,pr=pr>>8,Ie[Ce+2]=pr,pr=pr>>8,Ie[Ce+1]=pr,pr=pr>>8,Ie[Ce]=pr,Ce+8}T.prototype.writeBigUInt64LE=$e(function(xe){var Ce=arguments.length>1&&arguments[1]!==void 0?arguments[1]:0;return $t(this,xe,Ce,BigInt(0),BigInt(\"0xffffffffffffffff\"))}),T.prototype.writeBigUInt64BE=$e(function(xe){var Ce=arguments.length>1&&arguments[1]!==void 0?arguments[1]:0;return sr(this,xe,Ce,BigInt(0),BigInt(\"0xffffffffffffffff\"))}),T.prototype.writeIntLE=function(xe,Ce,vt,nr){if(xe=+xe,Ce=Ce>>>0,!nr){var ir=Math.pow(2,8*vt-1);Nt(this,xe,Ce,vt,ir-1,-ir)}var pr=0,oi=1,di=0;for(this[Ce]=xe&255;++pr<vt&&(oi*=256);)xe<0&&di===0&&this[Ce+pr-1]!==0&&(di=1),this[Ce+pr]=(xe/oi>>0)-di&255;return Ce+vt},T.prototype.writeIntBE=function(xe,Ce,vt,nr){if(xe=+xe,Ce=Ce>>>0,!nr){var ir=Math.pow(2,8*vt-1);Nt(this,xe,Ce,vt,ir-1,-ir)}var pr=vt-1,oi=1,di=0;for(this[Ce+pr]=xe&255;--pr>=0&&(oi*=256);)xe<0&&di===0&&this[Ce+pr+1]!==0&&(di=1),this[Ce+pr]=(xe/oi>>0)-di&255;return Ce+vt},T.prototype.writeInt8=function(xe,Ce,vt){return xe=+xe,Ce=Ce>>>0,vt||Nt(this,xe,Ce,1,127,-128),xe<0&&(xe=255+xe+1),this[Ce]=xe&255,Ce+1},T.prototype.writeInt16LE=function(xe,Ce,vt){return xe=+xe,Ce=Ce>>>0,vt||Nt(this,xe,Ce,2,32767,-32768),this[Ce]=xe&255,this[Ce+1]=xe>>>8,Ce+2},T.prototype.writeInt16BE=function(xe,Ce,vt){return xe=+xe,Ce=Ce>>>0,vt||Nt(this,xe,Ce,2,32767,-32768),this[Ce]=xe>>>8,this[Ce+1]=xe&255,Ce+2},T.prototype.writeInt32LE=function(xe,Ce,vt){return xe=+xe,Ce=Ce>>>0,vt||Nt(this,xe,Ce,4,2147483647,-2147483648),this[Ce]=xe&255,this[Ce+1]=xe>>>8,this[Ce+2]=xe>>>16,this[Ce+3]=xe>>>24,Ce+4},T.prototype.writeInt32BE=function(xe,Ce,vt){return xe=+xe,Ce=Ce>>>0,vt||Nt(this,xe,Ce,4,2147483647,-2147483648),xe<0&&(xe=4294967295+xe+1),this[Ce]=xe>>>24,this[Ce+1]=xe>>>16,this[Ce+2]=xe>>>8,this[Ce+3]=xe&255,Ce+4},T.prototype.writeBigInt64LE=$e(function(xe){var Ce=arguments.length>1&&arguments[1]!==void 0?arguments[1]:0;return $t(this,xe,Ce,-BigInt(\"0x8000000000000000\"),BigInt(\"0x7fffffffffffffff\"))}),T.prototype.writeBigInt64BE=$e(function(xe){var Ce=arguments.length>1&&arguments[1]!==void 0?arguments[1]:0;return sr(this,xe,Ce,-BigInt(\"0x8000000000000000\"),BigInt(\"0x7fffffffffffffff\"))});function wr(Ie,xe,Ce,vt,nr,ir){if(Ce+vt>Ie.length)throw new RangeError(\"Index out of range\");if(Ce<0)throw new RangeError(\"Index out of range\")}function ur(Ie,xe,Ce,vt,nr){return xe=+xe,Ce=Ce>>>0,nr||wr(Ie,xe,Ce,4,34028234663852886e22,-34028234663852886e22),_.write(Ie,xe,Ce,vt,23,4),Ce+4}T.prototype.writeFloatLE=function(xe,Ce,vt){return ur(this,xe,Ce,!0,vt)},T.prototype.writeFloatBE=function(xe,Ce,vt){return ur(this,xe,Ce,!1,vt)};function Qe(Ie,xe,Ce,vt,nr){return xe=+xe,Ce=Ce>>>0,nr||wr(Ie,xe,Ce,8,17976931348623157e292,-17976931348623157e292),_.write(Ie,xe,Ce,vt,52,8),Ce+8}T.prototype.writeDoubleLE=function(xe,Ce,vt){return Qe(this,xe,Ce,!0,vt)},T.prototype.writeDoubleBE=function(xe,Ce,vt){return Qe(this,xe,Ce,!1,vt)},T.prototype.copy=function(xe,Ce,vt,nr){if(!T.isBuffer(xe))throw new TypeError(\"argument should be a Buffer\");if(vt||(vt=0),!nr&&nr!==0&&(nr=this.length),Ce>=xe.length&&(Ce=xe.length),Ce||(Ce=0),nr>0&&nr<vt&&(nr=vt),nr===vt||xe.length===0||this.length===0)return 0;if(Ce<0)throw new RangeError(\"targetStart out of bounds\");if(vt<0||vt>=this.length)throw new RangeError(\"Index out of range\");if(nr<0)throw new RangeError(\"sourceEnd out of bounds\");nr>this.length&&(nr=this.length),xe.length-Ce<nr-vt&&(nr=xe.length-Ce+vt);var ir=nr-vt;return this===xe&&typeof Uint8Array.prototype.copyWithin==\"function\"?this.copyWithin(Ce,vt,nr):Uint8Array.prototype.set.call(xe,this.subarray(vt,nr),Ce),ir},T.prototype.fill=function(xe,Ce,vt,nr){if(typeof xe==\"string\"){if(typeof Ce==\"string\"?(nr=Ce,Ce=0,vt=this.length):typeof vt==\"string\"&&(nr=vt,vt=this.length),nr!==void 0&&typeof nr!=\"string\")throw new TypeError(\"encoding must be a string\");if(typeof nr==\"string\"&&!T.isEncoding(nr))throw new TypeError(\"Unknown encoding: \"+nr);if(xe.length===1){var ir=xe.charCodeAt(0);(nr===\"utf8\"&&ir<128||nr===\"latin1\")&&(xe=ir)}}else typeof xe==\"number\"?xe=xe&255:typeof xe==\"boolean\"&&(xe=Number(xe));if(Ce<0||this.length<Ce||this.length<vt)throw new RangeError(\"Out of range index\");if(vt<=Ce)return this;Ce=Ce>>>0,vt=vt===void 0?this.length:vt>>>0,xe||(xe=0);var pr;if(typeof xe==\"number\")for(pr=Ce;pr<vt;++pr)this[pr]=xe;else{var oi=T.isBuffer(xe)?xe:T.from(xe,nr),di=oi.length;if(di===0)throw new TypeError('The value \"'+xe+'\" is invalid for argument \"value\"');for(pr=0;pr<vt-Ce;++pr)this[pr+Ce]=oi[pr%di]}return this};var Et={};function er(Ie,xe,Ce){Et[Ie]=function(vt){function nr(){var ir;return l(this,nr),ir=d(this,nr),Object.defineProperty(ir,\"message\",{value:xe.apply(ir,arguments),writable:!0,configurable:!0}),ir.name=\"\".concat(ir.name,\" [\").concat(Ie,\"]\"),ir.stack,delete ir.name,ir}return C(nr,vt),c(nr,[{key:\"code\",get:function(){return Ie},set:function(pr){Object.defineProperty(this,\"code\",{configurable:!0,enumerable:!0,value:pr,writable:!0})}},{key:\"toString\",value:function(){return\"\".concat(this.name,\" [\").concat(Ie,\"]: \").concat(this.message)}}])}(Ce)}er(\"ERR_BUFFER_OUT_OF_BOUNDS\",function(Ie){return Ie?\"\".concat(Ie,\" is outside of buffer bounds\"):\"Attempt to access memory outside buffer bounds\"},RangeError),er(\"ERR_INVALID_ARG_TYPE\",function(Ie,xe){return'The \"'.concat(Ie,'\" argument must be of type number. Received type ').concat(A(xe))},TypeError),er(\"ERR_OUT_OF_RANGE\",function(Ie,xe,Ce){var vt='The value of \"'.concat(Ie,'\" is out of range.'),nr=Ce;return Number.isInteger(Ce)&&Math.abs(Ce)>Math.pow(2,32)?nr=Ut(String(Ce)):typeof Ce==\"bigint\"&&(nr=String(Ce),(Ce>Math.pow(BigInt(2),BigInt(32))||Ce<-Math.pow(BigInt(2),BigInt(32)))&&(nr=Ut(nr)),nr+=\"n\"),vt+=\" It must be \".concat(xe,\". 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Et.ERR_BUFFER_OUT_OF_BOUNDS:new Et.ERR_OUT_OF_RANGE(Ce||\"offset\",\">= \".concat(Ce?1:0,\" and <= \").concat(xe),Ie)}var lr=/[^+/0-9A-Za-z-_]/g;function Tr(Ie){if(Ie=Ie.split(\"=\")[0],Ie=Ie.trim().replace(lr,\"\"),Ie.length<2)return\"\";for(;Ie.length%4!==0;)Ie=Ie+\"=\";return Ie}function Rr(Ie,xe){xe=xe||1/0;for(var Ce,vt=Ie.length,nr=null,ir=[],pr=0;pr<vt;++pr){if(Ce=Ie.charCodeAt(pr),Ce>55295&&Ce<57344){if(!nr){if(Ce>56319){(xe-=3)>-1&&ir.push(239,191,189);continue}else if(pr+1===vt){(xe-=3)>-1&&ir.push(239,191,189);continue}nr=Ce;continue}if(Ce<56320){(xe-=3)>-1&&ir.push(239,191,189),nr=Ce;continue}Ce=(nr-55296<<10|Ce-56320)+65536}else nr&&(xe-=3)>-1&&ir.push(239,191,189);if(nr=null,Ce<128){if((xe-=1)<0)break;ir.push(Ce)}else if(Ce<2048){if((xe-=2)<0)break;ir.push(Ce>>6|192,Ce&63|128)}else if(Ce<65536){if((xe-=3)<0)break;ir.push(Ce>>12|224,Ce>>6&63|128,Ce&63|128)}else if(Ce<1114112){if((xe-=4)<0)break;ir.push(Ce>>18|240,Ce>>12&63|128,Ce>>6&63|128,Ce&63|128)}else throw new Error(\"Invalid code point\")}return ir}function ei(Ie){for(var xe=[],Ce=0;Ce<Ie.length;++Ce)xe.push(Ie.charCodeAt(Ce)&255);return xe}function Wr(Ie,xe){for(var Ce,vt,nr,ir=[],pr=0;pr<Ie.length&&!((xe-=2)<0);++pr)Ce=Ie.charCodeAt(pr),vt=Ce>>8,nr=Ce%256,ir.push(nr),ir.push(vt);return ir}function Ur(Ie){return L.toByteArray(Tr(Ie))}function dt(Ie,xe,Ce,vt){var nr;for(nr=0;nr<vt&&!(nr+Ce>=xe.length||nr>=Ie.length);++nr)xe[nr+Ce]=Ie[nr];return nr}function Ge(Ie,xe){return Ie instanceof xe||Ie!=null&&Ie.constructor!=null&&Ie.constructor.name!=null&&Ie.constructor.name===xe.name}function Je(Ie){return Ie!==Ie}var je=function(){for(var Ie=\"0123456789abcdef\",xe=new Array(256),Ce=0;Ce<16;++Ce)for(var vt=Ce*16,nr=0;nr<16;++nr)xe[vt+nr]=Ie[Ce]+Ie[nr];return xe}();function $e(Ie){return typeof BigInt==\"undefined\"?wt:Ie}function wt(){throw new Error(\"BigInt not supported\")}},9216:function(i){\"use strict\";i.exports=l,i.exports.isMobile=l,i.exports.default=l;var a=/(android|bb\\d+|meego).+mobile|armv7l|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series[46]0|samsungbrowser.*mobile|symbian|treo|up\\.(browser|link)|vodafone|wap|windows (ce|phone)|xda|xiino/i,o=/CrOS/,s=/android|ipad|playbook|silk/i;function l(u){u||(u={});var c=u.ua;if(!c&&typeof navigator!=\"undefined\"&&(c=navigator.userAgent),c&&c.headers&&typeof c.headers[\"user-agent\"]==\"string\"&&(c=c.headers[\"user-agent\"]),typeof c!=\"string\")return!1;var f=a.test(c)&&!o.test(c)||!!u.tablet&&s.test(c);return!f&&u.tablet&&u.featureDetect&&navigator&&navigator.maxTouchPoints>1&&c.indexOf(\"Macintosh\")!==-1&&c.indexOf(\"Safari\")!==-1&&(f=!0),f}},6296:function(i,a,o){\"use strict\";i.exports=h;var s=o(7261),l=o(9977),u=o(1811);function c(d,v){this._controllerNames=Object.keys(d),this._controllerList=this._controllerNames.map(function(x){return d[x]}),this._mode=v,this._active=d[v],this._active||(this._mode=\"turntable\",this._active=d.turntable),this.modes=this._controllerNames,this.computedMatrix=this._active.computedMatrix,this.computedEye=this._active.computedEye,this.computedUp=this._active.computedUp,this.computedCenter=this._active.computedCenter,this.computedRadius=this._active.computedRadius}var f=c.prototype;f.flush=function(d){for(var v=this._controllerList,x=0;x<v.length;++x)v[x].flush(d)},f.idle=function(d){for(var v=this._controllerList,x=0;x<v.length;++x)v[x].idle(d)},f.lookAt=function(d,v,x,b){for(var p=this._controllerList,C=0;C<p.length;++C)p[C].lookAt(d,v,x,b)},f.rotate=function(d,v,x,b){for(var p=this._controllerList,C=0;C<p.length;++C)p[C].rotate(d,v,x,b)},f.pan=function(d,v,x,b){for(var p=this._controllerList,C=0;C<p.length;++C)p[C].pan(d,v,x,b)},f.translate=function(d,v,x,b){for(var p=this._controllerList,C=0;C<p.length;++C)p[C].translate(d,v,x,b)},f.setMatrix=function(d,v){for(var x=this._controllerList,b=0;b<x.length;++b)x[b].setMatrix(d,v)},f.setDistanceLimits=function(d,v){for(var x=this._controllerList,b=0;b<x.length;++b)x[b].setDistanceLimits(d,v)},f.setDistance=function(d,v){for(var x=this._controllerList,b=0;b<x.length;++b)x[b].setDistance(d,v)},f.recalcMatrix=function(d){this._active.recalcMatrix(d)},f.getDistance=function(d){return this._active.getDistance(d)},f.getDistanceLimits=function(d){return this._active.getDistanceLimits(d)},f.lastT=function(){return this._active.lastT()},f.setMode=function(d){if(d!==this._mode){var v=this._controllerNames.indexOf(d);if(!(v<0)){var 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b=[\"\",\"0\",\"00\",\"000\",\"0000\",\"00000\",\"000000\",\"0000000\",\"00000000\",\"000000000\",\"0000000000\",\"00000000000\",\"000000000000\",\"0000000000000\",\"00000000000000\",\"000000000000000\",\"0000000000000000\",\"00000000000000000\",\"000000000000000000\",\"0000000000000000000\",\"00000000000000000000\",\"000000000000000000000\",\"0000000000000000000000\",\"00000000000000000000000\",\"000000000000000000000000\",\"0000000000000000000000000\"],p=[0,0,25,16,12,11,10,9,8,8,7,7,7,7,6,6,6,6,6,6,6,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],C=[0,0,33554432,43046721,16777216,48828125,60466176,40353607,16777216,43046721,1e7,19487171,35831808,62748517,7529536,11390625,16777216,24137569,34012224,47045881,64e6,4084101,5153632,6436343,7962624,9765625,11881376,14348907,17210368,20511149,243e5,28629151,33554432,39135393,45435424,52521875,60466176];f.prototype.toString=function(N,j){N=N||10,j=j|0||1;var re;if(N===16||N===\"hex\"){re=\"\";for(var oe=0,_e=0,Me=0;Me<this.length;Me++){var ke=this.words[Me],me=((ke<<oe|_e)&16777215).toString(16);_e=ke>>>24-oe&16777215,_e!==0||Me!==this.length-1?re=b[6-me.length]+me+re:re=me+re,oe+=2,oe>=26&&(oe-=26,Me--)}for(_e!==0&&(re=_e.toString(16)+re);re.length%j!==0;)re=\"0\"+re;return this.negative!==0&&(re=\"-\"+re),re}if(N===(N|0)&&N>=2&&N<=36){var ie=p[N],Se=C[N];re=\"\";var Le=this.clone();for(Le.negative=0;!Le.isZero();){var Ae=Le.modn(Se).toString(N);Le=Le.idivn(Se),Le.isZero()?re=Ae+re:re=b[ie-Ae.length]+Ae+re}for(this.isZero()&&(re=\"0\"+re);re.length%j!==0;)re=\"0\"+re;return this.negative!==0&&(re=\"-\"+re),re}u(!1,\"Base should be between 2 and 36\")},f.prototype.toNumber=function(){var N=this.words[0];return this.length===2?N+=this.words[1]*67108864:this.length===3&&this.words[2]===1?N+=4503599627370496+this.words[1]*67108864:this.length>2&&u(!1,\"Number can only safely store up to 53 bits\"),this.negative!==0?-N:N},f.prototype.toJSON=function(){return this.toString(16)},f.prototype.toBuffer=function(N,j){return u(typeof h!=\"undefined\"),this.toArrayLike(h,N,j)},f.prototype.toArray=function(N,j){return this.toArrayLike(Array,N,j)},f.prototype.toArrayLike=function(N,j,re){var oe=this.byteLength(),_e=re||Math.max(1,oe);u(oe<=_e,\"byte array longer than desired length\"),u(_e>0,\"Requested array length <= 0\"),this.strip();var Me=j===\"le\",ke=new N(_e),me,ie,Se=this.clone();if(Me){for(ie=0;!Se.isZero();ie++)me=Se.andln(255),Se.iushrn(8),ke[ie]=me;for(;ie<_e;ie++)ke[ie]=0}else{for(ie=0;ie<_e-oe;ie++)ke[ie]=0;for(ie=0;!Se.isZero();ie++)me=Se.andln(255),Se.iushrn(8),ke[_e-ie-1]=me}return ke},Math.clz32?f.prototype._countBits=function(N){return 32-Math.clz32(N)}:f.prototype._countBits=function(N){var j=N,re=0;return j>=4096&&(re+=13,j>>>=13),j>=64&&(re+=7,j>>>=7),j>=8&&(re+=4,j>>>=4),j>=2&&(re+=2,j>>>=2),re+j},f.prototype._zeroBits=function(N){if(N===0)return 26;var j=N,re=0;return(j&8191)===0&&(re+=13,j>>>=13),(j&127)===0&&(re+=7,j>>>=7),(j&15)===0&&(re+=4,j>>>=4),(j&3)===0&&(re+=2,j>>>=2),(j&1)===0&&re++,re},f.prototype.bitLength=function(){var N=this.words[this.length-1],j=this._countBits(N);return(this.length-1)*26+j};function E(H){for(var N=new Array(H.bitLength()),j=0;j<N.length;j++){var re=j/26|0,oe=j%26;N[j]=(H.words[re]&1<<oe)>>>oe}return N}f.prototype.zeroBits=function(){if(this.isZero())return 0;for(var N=0,j=0;j<this.length;j++){var re=this._zeroBits(this.words[j]);if(N+=re,re!==26)break}return N},f.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},f.prototype.toTwos=function(N){return this.negative!==0?this.abs().inotn(N).iaddn(1):this.clone()},f.prototype.fromTwos=function(N){return this.testn(N-1)?this.notn(N).iaddn(1).ineg():this.clone()},f.prototype.isNeg=function(){return this.negative!==0},f.prototype.neg=function(){return this.clone().ineg()},f.prototype.ineg=function(){return this.isZero()||(this.negative^=1),this},f.prototype.iuor=function(N){for(;this.length<N.length;)this.words[this.length++]=0;for(var j=0;j<N.length;j++)this.words[j]=this.words[j]|N.words[j];return this.strip()},f.prototype.ior=function(N){return u((this.negative|N.negative)===0),this.iuor(N)},f.prototype.or=function(N){return this.length>N.length?this.clone().ior(N):N.clone().ior(this)},f.prototype.uor=function(N){return this.length>N.length?this.clone().iuor(N):N.clone().iuor(this)},f.prototype.iuand=function(N){var j;this.length>N.length?j=N:j=this;for(var re=0;re<j.length;re++)this.words[re]=this.words[re]&N.words[re];return this.length=j.length,this.strip()},f.prototype.iand=function(N){return u((this.negative|N.negative)===0),this.iuand(N)},f.prototype.and=function(N){return this.length>N.length?this.clone().iand(N):N.clone().iand(this)},f.prototype.uand=function(N){return this.length>N.length?this.clone().iuand(N):N.clone().iuand(this)},f.prototype.iuxor=function(N){var j,re;this.length>N.length?(j=this,re=N):(j=N,re=this);for(var oe=0;oe<re.length;oe++)this.words[oe]=j.words[oe]^re.words[oe];if(this!==j)for(;oe<j.length;oe++)this.words[oe]=j.words[oe];return this.length=j.length,this.strip()},f.prototype.ixor=function(N){return u((this.negative|N.negative)===0),this.iuxor(N)},f.prototype.xor=function(N){return this.length>N.length?this.clone().ixor(N):N.clone().ixor(this)},f.prototype.uxor=function(N){return this.length>N.length?this.clone().iuxor(N):N.clone().iuxor(this)},f.prototype.inotn=function(N){u(typeof N==\"number\"&&N>=0);var j=Math.ceil(N/26)|0,re=N%26;this._expand(j),re>0&&j--;for(var oe=0;oe<j;oe++)this.words[oe]=~this.words[oe]&67108863;return re>0&&(this.words[oe]=~this.words[oe]&67108863>>26-re),this.strip()},f.prototype.notn=function(N){return this.clone().inotn(N)},f.prototype.setn=function(N,j){u(typeof N==\"number\"&&N>=0);var re=N/26|0,oe=N%26;return this._expand(re+1),j?this.words[re]=this.words[re]|1<<oe:this.words[re]=this.words[re]&~(1<<oe),this.strip()},f.prototype.iadd=function(N){var j;if(this.negative!==0&&N.negative===0)return this.negative=0,j=this.isub(N),this.negative^=1,this._normSign();if(this.negative===0&&N.negative!==0)return N.negative=0,j=this.isub(N),N.negative=1,j._normSign();var re,oe;this.length>N.length?(re=this,oe=N):(re=N,oe=this);for(var _e=0,Me=0;Me<oe.length;Me++)j=(re.words[Me]|0)+(oe.words[Me]|0)+_e,this.words[Me]=j&67108863,_e=j>>>26;for(;_e!==0&&Me<re.length;Me++)j=(re.words[Me]|0)+_e,this.words[Me]=j&67108863,_e=j>>>26;if(this.length=re.length,_e!==0)this.words[this.length]=_e,this.length++;else if(re!==this)for(;Me<re.length;Me++)this.words[Me]=re.words[Me];return this},f.prototype.add=function(N){var j;return N.negative!==0&&this.negative===0?(N.negative=0,j=this.sub(N),N.negative^=1,j):N.negative===0&&this.negative!==0?(this.negative=0,j=N.sub(this),this.negative=1,j):this.length>N.length?this.clone().iadd(N):N.clone().iadd(this)},f.prototype.isub=function(N){if(N.negative!==0){N.negative=0;var j=this.iadd(N);return N.negative=1,j._normSign()}else if(this.negative!==0)return this.negative=0,this.iadd(N),this.negative=1,this._normSign();var re=this.cmp(N);if(re===0)return this.negative=0,this.length=1,this.words[0]=0,this;var oe,_e;re>0?(oe=this,_e=N):(oe=N,_e=this);for(var Me=0,ke=0;ke<_e.length;ke++)j=(oe.words[ke]|0)-(_e.words[ke]|0)+Me,Me=j>>26,this.words[ke]=j&67108863;for(;Me!==0&&ke<oe.length;ke++)j=(oe.words[ke]|0)+Me,Me=j>>26,this.words[ke]=j&67108863;if(Me===0&&ke<oe.length&&oe!==this)for(;ke<oe.length;ke++)this.words[ke]=oe.words[ke];return this.length=Math.max(this.length,ke),oe!==this&&(this.negative=1),this.strip()},f.prototype.sub=function(N){return this.clone().isub(N)};function A(H,N,j){j.negative=N.negative^H.negative;var re=H.length+N.length|0;j.length=re,re=re-1|0;var oe=H.words[0]|0,_e=N.words[0]|0,Me=oe*_e,ke=Me&67108863,me=Me/67108864|0;j.words[0]=ke;for(var ie=1;ie<re;ie++){for(var Se=me>>>26,Le=me&67108863,Ae=Math.min(ie,N.length-1),De=Math.max(0,ie-H.length+1);De<=Ae;De++){var Pe=ie-De|0;oe=H.words[Pe]|0,_e=N.words[De]|0,Me=oe*_e+Le,Se+=Me/67108864|0,Le=Me&67108863}j.words[ie]=Le|0,me=Se|0}return me!==0?j.words[ie]=me|0:j.length--,j.strip()}var L=function(N,j,re){var oe=N.words,_e=j.words,Me=re.words,ke=0,me,ie,Se,Le=oe[0]|0,Ae=Le&8191,De=Le>>>13,Pe=oe[1]|0,ge=Pe&8191,Fe=Pe>>>13,ce=oe[2]|0,Ze=ce&8191,ct=ce>>>13,pt=oe[3]|0,Wt=pt&8191,st=pt>>>13,lt=oe[4]|0,Gt=lt&8191,Nt=lt>>>13,$t=oe[5]|0,sr=$t&8191,wr=$t>>>13,ur=oe[6]|0,Qe=ur&8191,Et=ur>>>13,er=oe[7]|0,Ut=er&8191,Ft=er>>>13,bt=oe[8]|0,yt=bt&8191,Yt=bt>>>13,lr=oe[9]|0,Tr=lr&8191,Rr=lr>>>13,ei=_e[0]|0,Wr=ei&8191,Ur=ei>>>13,dt=_e[1]|0,Ge=dt&8191,Je=dt>>>13,je=_e[2]|0,$e=je&8191,wt=je>>>13,Ie=_e[3]|0,xe=Ie&8191,Ce=Ie>>>13,vt=_e[4]|0,nr=vt&8191,ir=vt>>>13,pr=_e[5]|0,oi=pr&8191,di=pr>>>13,Jr=_e[6]|0,fi=Jr&8191,Hi=Jr>>>13,Pn=_e[7]|0,wn=Pn&8191,pn=Pn>>>13,Vn=_e[8]|0,kn=Vn&8191,ea=Vn>>>13,ua=_e[9]|0,Vt=ua&8191,_t=ua>>>13;re.negative=N.negative^j.negative,re.length=19,me=Math.imul(Ae,Wr),ie=Math.imul(Ae,Ur),ie=ie+Math.imul(De,Wr)|0,Se=Math.imul(De,Ur);var tr=(ke+me|0)+((ie&8191)<<13)|0;ke=(Se+(ie>>>13)|0)+(tr>>>26)|0,tr&=67108863,me=Math.imul(ge,Wr),ie=Math.imul(ge,Ur),ie=ie+Math.imul(Fe,Wr)|0,Se=Math.imul(Fe,Ur),me=me+Math.imul(Ae,Ge)|0,ie=ie+Math.imul(Ae,Je)|0,ie=ie+Math.imul(De,Ge)|0,Se=Se+Math.imul(De,Je)|0;var ar=(ke+me|0)+((ie&8191)<<13)|0;ke=(Se+(ie>>>13)|0)+(ar>>>26)|0,ar&=67108863,me=Math.imul(Ze,Wr),ie=Math.imul(Ze,Ur),ie=ie+Math.imul(ct,Wr)|0,Se=Math.imul(ct,Ur),me=me+Math.imul(ge,Ge)|0,ie=ie+Math.imul(ge,Je)|0,ie=ie+Math.imul(Fe,Ge)|0,Se=Se+Math.imul(Fe,Je)|0,me=me+Math.imul(Ae,$e)|0,ie=ie+Math.imul(Ae,wt)|0,ie=ie+Math.imul(De,$e)|0,Se=Se+Math.imul(De,wt)|0;var Er=(ke+me|0)+((ie&8191)<<13)|0;ke=(Se+(ie>>>13)|0)+(Er>>>26)|0,Er&=67108863,me=Math.imul(Wt,Wr),ie=Math.imul(Wt,Ur),ie=ie+Math.imul(st,Wr)|0,Se=Math.imul(st,Ur),me=me+Math.imul(Ze,Ge)|0,ie=ie+Math.imul(Ze,Je)|0,ie=ie+Math.imul(ct,Ge)|0,Se=Se+Math.imul(ct,Je)|0,me=me+Math.imul(ge,$e)|0,ie=ie+Math.imul(ge,wt)|0,ie=ie+Math.imul(Fe,$e)|0,Se=Se+Math.imul(Fe,wt)|0,me=me+Math.imul(Ae,xe)|0,ie=ie+Math.imul(Ae,Ce)|0,ie=ie+Math.imul(De,xe)|0,Se=Se+Math.imul(De,Ce)|0;var Zr=(ke+me|0)+((ie&8191)<<13)|0;ke=(Se+(ie>>>13)|0)+(Zr>>>26)|0,Zr&=67108863,me=Math.imul(Gt,Wr),ie=Math.imul(Gt,Ur),ie=ie+Math.imul(Nt,Wr)|0,Se=Math.imul(Nt,Ur),me=me+Math.imul(Wt,Ge)|0,ie=ie+Math.imul(Wt,Je)|0,ie=ie+Math.imul(st,Ge)|0,Se=Se+Math.imul(st,Je)|0,me=me+Math.imul(Ze,$e)|0,ie=ie+Math.imul(Ze,wt)|0,ie=ie+Math.imul(ct,$e)|0,Se=Se+Math.imul(ct,wt)|0,me=me+Math.imul(ge,xe)|0,ie=ie+Math.imul(ge,Ce)|0,ie=ie+Math.imul(Fe,xe)|0,Se=Se+Math.imul(Fe,Ce)|0,me=me+Math.imul(Ae,nr)|0,ie=ie+Math.imul(Ae,ir)|0,ie=ie+Math.imul(De,nr)|0,Se=Se+Math.imul(De,ir)|0;var ri=(ke+me|0)+((ie&8191)<<13)|0;ke=(Se+(ie>>>13)|0)+(ri>>>26)|0,ri&=67108863,me=Math.imul(sr,Wr),ie=Math.imul(sr,Ur),ie=ie+Math.imul(wr,Wr)|0,Se=Math.imul(wr,Ur),me=me+Math.imul(Gt,Ge)|0,ie=ie+Math.imul(Gt,Je)|0,ie=ie+Math.imul(Nt,Ge)|0,Se=Se+Math.imul(Nt,Je)|0,me=me+Math.imul(Wt,$e)|0,ie=ie+Math.imul(Wt,wt)|0,ie=ie+Math.imul(st,$e)|0,Se=Se+Math.imul(st,wt)|0,me=me+Math.imul(Ze,xe)|0,ie=ie+Math.imul(Ze,Ce)|0,ie=ie+Math.imul(ct,xe)|0,Se=Se+Math.imul(ct,Ce)|0,me=me+Math.imul(ge,nr)|0,ie=ie+Math.imul(ge,ir)|0,ie=ie+Math.imul(Fe,nr)|0,Se=Se+Math.imul(Fe,ir)|0,me=me+Math.imul(Ae,oi)|0,ie=ie+Math.imul(Ae,di)|0,ie=ie+Math.imul(De,oi)|0,Se=Se+Math.imul(De,di)|0;var $r=(ke+me|0)+((ie&8191)<<13)|0;ke=(Se+(ie>>>13)|0)+($r>>>26)|0,$r&=67108863,me=Math.imul(Qe,Wr),ie=Math.imul(Qe,Ur),ie=ie+Math.imul(Et,Wr)|0,Se=Math.imul(Et,Ur),me=me+Math.imul(sr,Ge)|0,ie=ie+Math.imul(sr,Je)|0,ie=ie+Math.imul(wr,Ge)|0,Se=Se+Math.imul(wr,Je)|0,me=me+Math.imul(Gt,$e)|0,ie=ie+Math.imul(Gt,wt)|0,ie=ie+Math.imul(Nt,$e)|0,Se=Se+Math.imul(Nt,wt)|0,me=me+Math.imul(Wt,xe)|0,ie=ie+Math.imul(Wt,Ce)|0,ie=ie+Math.imul(st,xe)|0,Se=Se+Math.imul(st,Ce)|0,me=me+Math.imul(Ze,nr)|0,ie=ie+Math.imul(Ze,ir)|0,ie=ie+Math.imul(ct,nr)|0,Se=Se+Math.imul(ct,ir)|0,me=me+Math.imul(ge,oi)|0,ie=ie+Math.imul(ge,di)|0,ie=ie+Math.imul(Fe,oi)|0,Se=Se+Math.imul(Fe,di)|0,me=me+Math.imul(Ae,fi)|0,ie=ie+Math.imul(Ae,Hi)|0,ie=ie+Math.imul(De,fi)|0,Se=Se+Math.imul(De,Hi)|0;var zi=(ke+me|0)+((ie&8191)<<13)|0;ke=(Se+(ie>>>13)|0)+(zi>>>26)|0,zi&=67108863,me=Math.imul(Ut,Wr),ie=Math.imul(Ut,Ur),ie=ie+Math.imul(Ft,Wr)|0,Se=Math.imul(Ft,Ur),me=me+Math.imul(Qe,Ge)|0,ie=ie+Math.imul(Qe,Je)|0,ie=ie+Math.imul(Et,Ge)|0,Se=Se+Math.imul(Et,Je)|0,me=me+Math.imul(sr,$e)|0,ie=ie+Math.imul(sr,wt)|0,ie=ie+Math.imul(wr,$e)|0,Se=Se+Math.imul(wr,wt)|0,me=me+Math.imul(Gt,xe)|0,ie=ie+Math.imul(Gt,Ce)|0,ie=ie+Math.imul(Nt,xe)|0,Se=Se+Math.imul(Nt,Ce)|0,me=me+Math.imul(Wt,nr)|0,ie=ie+Math.imul(Wt,ir)|0,ie=ie+Math.imul(st,nr)|0,Se=Se+Math.imul(st,ir)|0,me=me+Math.imul(Ze,oi)|0,ie=ie+Math.imul(Ze,di)|0,ie=ie+Math.imul(ct,oi)|0,Se=Se+Math.imul(ct,di)|0,me=me+Math.imul(ge,fi)|0,ie=ie+Math.imul(ge,Hi)|0,ie=ie+Math.imul(Fe,fi)|0,Se=Se+Math.imul(Fe,Hi)|0,me=me+Math.imul(Ae,wn)|0,ie=ie+Math.imul(Ae,pn)|0,ie=ie+Math.imul(De,wn)|0,Se=Se+Math.imul(De,pn)|0;var Ji=(ke+me|0)+((ie&8191)<<13)|0;ke=(Se+(ie>>>13)|0)+(Ji>>>26)|0,Ji&=67108863,me=Math.imul(yt,Wr),ie=Math.imul(yt,Ur),ie=ie+Math.imul(Yt,Wr)|0,Se=Math.imul(Yt,Ur),me=me+Math.imul(Ut,Ge)|0,ie=ie+Math.imul(Ut,Je)|0,ie=ie+Math.imul(Ft,Ge)|0,Se=Se+Math.imul(Ft,Je)|0,me=me+Math.imul(Qe,$e)|0,ie=ie+Math.imul(Qe,wt)|0,ie=ie+Math.imul(Et,$e)|0,Se=Se+Math.imul(Et,wt)|0,me=me+Math.imul(sr,xe)|0,ie=ie+Math.imul(sr,Ce)|0,ie=ie+Math.imul(wr,xe)|0,Se=Se+Math.imul(wr,Ce)|0,me=me+Math.imul(Gt,nr)|0,ie=ie+Math.imul(Gt,ir)|0,ie=ie+Math.imul(Nt,nr)|0,Se=Se+Math.imul(Nt,ir)|0,me=me+Math.imul(Wt,oi)|0,ie=ie+Math.imul(Wt,di)|0,ie=ie+Math.imul(st,oi)|0,Se=Se+Math.imul(st,di)|0,me=me+Math.imul(Ze,fi)|0,ie=ie+Math.imul(Ze,Hi)|0,ie=ie+Math.imul(ct,fi)|0,Se=Se+Math.imul(ct,Hi)|0,me=me+Math.imul(ge,wn)|0,ie=ie+Math.imul(ge,pn)|0,ie=ie+Math.imul(Fe,wn)|0,Se=Se+Math.imul(Fe,pn)|0,me=me+Math.imul(Ae,kn)|0,ie=ie+Math.imul(Ae,ea)|0,ie=ie+Math.imul(De,kn)|0,Se=Se+Math.imul(De,ea)|0;var en=(ke+me|0)+((ie&8191)<<13)|0;ke=(Se+(ie>>>13)|0)+(en>>>26)|0,en&=67108863,me=Math.imul(Tr,Wr),ie=Math.imul(Tr,Ur),ie=ie+Math.imul(Rr,Wr)|0,Se=Math.imul(Rr,Ur),me=me+Math.imul(yt,Ge)|0,ie=ie+Math.imul(yt,Je)|0,ie=ie+Math.imul(Yt,Ge)|0,Se=Se+Math.imul(Yt,Je)|0,me=me+Math.imul(Ut,$e)|0,ie=ie+Math.imul(Ut,wt)|0,ie=ie+Math.imul(Ft,$e)|0,Se=Se+Math.imul(Ft,wt)|0,me=me+Math.imul(Qe,xe)|0,ie=ie+Math.imul(Qe,Ce)|0,ie=ie+Math.imul(Et,xe)|0,Se=Se+Math.imul(Et,Ce)|0,me=me+Math.imul(sr,nr)|0,ie=ie+Math.imul(sr,ir)|0,ie=ie+Math.imul(wr,nr)|0,Se=Se+Math.imul(wr,ir)|0,me=me+Math.imul(Gt,oi)|0,ie=ie+Math.imul(Gt,di)|0,ie=ie+Math.imul(Nt,oi)|0,Se=Se+Math.imul(Nt,di)|0,me=me+Math.imul(Wt,fi)|0,ie=ie+Math.imul(Wt,Hi)|0,ie=ie+Math.imul(st,fi)|0,Se=Se+Math.imul(st,Hi)|0,me=me+Math.imul(Ze,wn)|0,ie=ie+Math.imul(Ze,pn)|0,ie=ie+Math.imul(ct,wn)|0,Se=Se+Math.imul(ct,pn)|0,me=me+Math.imul(ge,kn)|0,ie=ie+Math.imul(ge,ea)|0,ie=ie+Math.imul(Fe,kn)|0,Se=Se+Math.imul(Fe,ea)|0,me=me+Math.imul(Ae,Vt)|0,ie=ie+Math.imul(Ae,_t)|0,ie=ie+Math.imul(De,Vt)|0,Se=Se+Math.imul(De,_t)|0;var cn=(ke+me|0)+((ie&8191)<<13)|0;ke=(Se+(ie>>>13)|0)+(cn>>>26)|0,cn&=67108863,me=Math.imul(Tr,Ge),ie=Math.imul(Tr,Je),ie=ie+Math.imul(Rr,Ge)|0,Se=Math.imul(Rr,Je),me=me+Math.imul(yt,$e)|0,ie=ie+Math.imul(yt,wt)|0,ie=ie+Math.imul(Yt,$e)|0,Se=Se+Math.imul(Yt,wt)|0,me=me+Math.imul(Ut,xe)|0,ie=ie+Math.imul(Ut,Ce)|0,ie=ie+Math.imul(Ft,xe)|0,Se=Se+Math.imul(Ft,Ce)|0,me=me+Math.imul(Qe,nr)|0,ie=ie+Math.imul(Qe,ir)|0,ie=ie+Math.imul(Et,nr)|0,Se=Se+Math.imul(Et,ir)|0,me=me+Math.imul(sr,oi)|0,ie=ie+Math.imul(sr,di)|0,ie=ie+Math.imul(wr,oi)|0,Se=Se+Math.imul(wr,di)|0,me=me+Math.imul(Gt,fi)|0,ie=ie+Math.imul(Gt,Hi)|0,ie=ie+Math.imul(Nt,fi)|0,Se=Se+Math.imul(Nt,Hi)|0,me=me+Math.imul(Wt,wn)|0,ie=ie+Math.imul(Wt,pn)|0,ie=ie+Math.imul(st,wn)|0,Se=Se+Math.imul(st,pn)|0,me=me+Math.imul(Ze,kn)|0,ie=ie+Math.imul(Ze,ea)|0,ie=ie+Math.imul(ct,kn)|0,Se=Se+Math.imul(ct,ea)|0,me=me+Math.imul(ge,Vt)|0,ie=ie+Math.imul(ge,_t)|0,ie=ie+Math.imul(Fe,Vt)|0,Se=Se+Math.imul(Fe,_t)|0;var yn=(ke+me|0)+((ie&8191)<<13)|0;ke=(Se+(ie>>>13)|0)+(yn>>>26)|0,yn&=67108863,me=Math.imul(Tr,$e),ie=Math.imul(Tr,wt),ie=ie+Math.imul(Rr,$e)|0,Se=Math.imul(Rr,wt),me=me+Math.imul(yt,xe)|0,ie=ie+Math.imul(yt,Ce)|0,ie=ie+Math.imul(Yt,xe)|0,Se=Se+Math.imul(Yt,Ce)|0,me=me+Math.imul(Ut,nr)|0,ie=ie+Math.imul(Ut,ir)|0,ie=ie+Math.imul(Ft,nr)|0,Se=Se+Math.imul(Ft,ir)|0,me=me+Math.imul(Qe,oi)|0,ie=ie+Math.imul(Qe,di)|0,ie=ie+Math.imul(Et,oi)|0,Se=Se+Math.imul(Et,di)|0,me=me+Math.imul(sr,fi)|0,ie=ie+Math.imul(sr,Hi)|0,ie=ie+Math.imul(wr,fi)|0,Se=Se+Math.imul(wr,Hi)|0,me=me+Math.imul(Gt,wn)|0,ie=ie+Math.imul(Gt,pn)|0,ie=ie+Math.imul(Nt,wn)|0,Se=Se+Math.imul(Nt,pn)|0,me=me+Math.imul(Wt,kn)|0,ie=ie+Math.imul(Wt,ea)|0,ie=ie+Math.imul(st,kn)|0,Se=Se+Math.imul(st,ea)|0,me=me+Math.imul(Ze,Vt)|0,ie=ie+Math.imul(Ze,_t)|0,ie=ie+Math.imul(ct,Vt)|0,Se=Se+Math.imul(ct,_t)|0;var Mn=(ke+me|0)+((ie&8191)<<13)|0;ke=(Se+(ie>>>13)|0)+(Mn>>>26)|0,Mn&=67108863,me=Math.imul(Tr,xe),ie=Math.imul(Tr,Ce),ie=ie+Math.imul(Rr,xe)|0,Se=Math.imul(Rr,Ce),me=me+Math.imul(yt,nr)|0,ie=ie+Math.imul(yt,ir)|0,ie=ie+Math.imul(Yt,nr)|0,Se=Se+Math.imul(Yt,ir)|0,me=me+Math.imul(Ut,oi)|0,ie=ie+Math.imul(Ut,di)|0,ie=ie+Math.imul(Ft,oi)|0,Se=Se+Math.imul(Ft,di)|0,me=me+Math.imul(Qe,fi)|0,ie=ie+Math.imul(Qe,Hi)|0,ie=ie+Math.imul(Et,fi)|0,Se=Se+Math.imul(Et,Hi)|0,me=me+Math.imul(sr,wn)|0,ie=ie+Math.imul(sr,pn)|0,ie=ie+Math.imul(wr,wn)|0,Se=Se+Math.imul(wr,pn)|0,me=me+Math.imul(Gt,kn)|0,ie=ie+Math.imul(Gt,ea)|0,ie=ie+Math.imul(Nt,kn)|0,Se=Se+Math.imul(Nt,ea)|0,me=me+Math.imul(Wt,Vt)|0,ie=ie+Math.imul(Wt,_t)|0,ie=ie+Math.imul(st,Vt)|0,Se=Se+Math.imul(st,_t)|0;var Ba=(ke+me|0)+((ie&8191)<<13)|0;ke=(Se+(ie>>>13)|0)+(Ba>>>26)|0,Ba&=67108863,me=Math.imul(Tr,nr),ie=Math.imul(Tr,ir),ie=ie+Math.imul(Rr,nr)|0,Se=Math.imul(Rr,ir),me=me+Math.imul(yt,oi)|0,ie=ie+Math.imul(yt,di)|0,ie=ie+Math.imul(Yt,oi)|0,Se=Se+Math.imul(Yt,di)|0,me=me+Math.imul(Ut,fi)|0,ie=ie+Math.imul(Ut,Hi)|0,ie=ie+Math.imul(Ft,fi)|0,Se=Se+Math.imul(Ft,Hi)|0,me=me+Math.imul(Qe,wn)|0,ie=ie+Math.imul(Qe,pn)|0,ie=ie+Math.imul(Et,wn)|0,Se=Se+Math.imul(Et,pn)|0,me=me+Math.imul(sr,kn)|0,ie=ie+Math.imul(sr,ea)|0,ie=ie+Math.imul(wr,kn)|0,Se=Se+Math.imul(wr,ea)|0,me=me+Math.imul(Gt,Vt)|0,ie=ie+Math.imul(Gt,_t)|0,ie=ie+Math.imul(Nt,Vt)|0,Se=Se+Math.imul(Nt,_t)|0;var la=(ke+me|0)+((ie&8191)<<13)|0;ke=(Se+(ie>>>13)|0)+(la>>>26)|0,la&=67108863,me=Math.imul(Tr,oi),ie=Math.imul(Tr,di),ie=ie+Math.imul(Rr,oi)|0,Se=Math.imul(Rr,di),me=me+Math.imul(yt,fi)|0,ie=ie+Math.imul(yt,Hi)|0,ie=ie+Math.imul(Yt,fi)|0,Se=Se+Math.imul(Yt,Hi)|0,me=me+Math.imul(Ut,wn)|0,ie=ie+Math.imul(Ut,pn)|0,ie=ie+Math.imul(Ft,wn)|0,Se=Se+Math.imul(Ft,pn)|0,me=me+Math.imul(Qe,kn)|0,ie=ie+Math.imul(Qe,ea)|0,ie=ie+Math.imul(Et,kn)|0,Se=Se+Math.imul(Et,ea)|0,me=me+Math.imul(sr,Vt)|0,ie=ie+Math.imul(sr,_t)|0,ie=ie+Math.imul(wr,Vt)|0,Se=Se+Math.imul(wr,_t)|0;var ma=(ke+me|0)+((ie&8191)<<13)|0;ke=(Se+(ie>>>13)|0)+(ma>>>26)|0,ma&=67108863,me=Math.imul(Tr,fi),ie=Math.imul(Tr,Hi),ie=ie+Math.imul(Rr,fi)|0,Se=Math.imul(Rr,Hi),me=me+Math.imul(yt,wn)|0,ie=ie+Math.imul(yt,pn)|0,ie=ie+Math.imul(Yt,wn)|0,Se=Se+Math.imul(Yt,pn)|0,me=me+Math.imul(Ut,kn)|0,ie=ie+Math.imul(Ut,ea)|0,ie=ie+Math.imul(Ft,kn)|0,Se=Se+Math.imul(Ft,ea)|0,me=me+Math.imul(Qe,Vt)|0,ie=ie+Math.imul(Qe,_t)|0,ie=ie+Math.imul(Et,Vt)|0,Se=Se+Math.imul(Et,_t)|0;var Wa=(ke+me|0)+((ie&8191)<<13)|0;ke=(Se+(ie>>>13)|0)+(Wa>>>26)|0,Wa&=67108863,me=Math.imul(Tr,wn),ie=Math.imul(Tr,pn),ie=ie+Math.imul(Rr,wn)|0,Se=Math.imul(Rr,pn),me=me+Math.imul(yt,kn)|0,ie=ie+Math.imul(yt,ea)|0,ie=ie+Math.imul(Yt,kn)|0,Se=Se+Math.imul(Yt,ea)|0,me=me+Math.imul(Ut,Vt)|0,ie=ie+Math.imul(Ut,_t)|0,ie=ie+Math.imul(Ft,Vt)|0,Se=Se+Math.imul(Ft,_t)|0;var Fa=(ke+me|0)+((ie&8191)<<13)|0;ke=(Se+(ie>>>13)|0)+(Fa>>>26)|0,Fa&=67108863,me=Math.imul(Tr,kn),ie=Math.imul(Tr,ea),ie=ie+Math.imul(Rr,kn)|0,Se=Math.imul(Rr,ea),me=me+Math.imul(yt,Vt)|0,ie=ie+Math.imul(yt,_t)|0,ie=ie+Math.imul(Yt,Vt)|0,Se=Se+Math.imul(Yt,_t)|0;var Wo=(ke+me|0)+((ie&8191)<<13)|0;ke=(Se+(ie>>>13)|0)+(Wo>>>26)|0,Wo&=67108863,me=Math.imul(Tr,Vt),ie=Math.imul(Tr,_t),ie=ie+Math.imul(Rr,Vt)|0,Se=Math.imul(Rr,_t);var da=(ke+me|0)+((ie&8191)<<13)|0;return ke=(Se+(ie>>>13)|0)+(da>>>26)|0,da&=67108863,Me[0]=tr,Me[1]=ar,Me[2]=Er,Me[3]=Zr,Me[4]=ri,Me[5]=$r,Me[6]=zi,Me[7]=Ji,Me[8]=en,Me[9]=cn,Me[10]=yn,Me[11]=Mn,Me[12]=Ba,Me[13]=la,Me[14]=ma,Me[15]=Wa,Me[16]=Fa,Me[17]=Wo,Me[18]=da,ke!==0&&(Me[19]=ke,re.length++),re};Math.imul||(L=A);function _(H,N,j){j.negative=N.negative^H.negative,j.length=H.length+N.length;for(var re=0,oe=0,_e=0;_e<j.length-1;_e++){var Me=oe;oe=0;for(var ke=re&67108863,me=Math.min(_e,N.length-1),ie=Math.max(0,_e-H.length+1);ie<=me;ie++){var Se=_e-ie,Le=H.words[Se]|0,Ae=N.words[ie]|0,De=Le*Ae,Pe=De&67108863;Me=Me+(De/67108864|0)|0,Pe=Pe+ke|0,ke=Pe&67108863,Me=Me+(Pe>>>26)|0,oe+=Me>>>26,Me&=67108863}j.words[_e]=ke,re=Me,Me=oe}return re!==0?j.words[_e]=re:j.length--,j.strip()}function k(H,N,j){var re=new M;return re.mulp(H,N,j)}f.prototype.mulTo=function(N,j){var re,oe=this.length+N.length;return this.length===10&&N.length===10?re=L(this,N,j):oe<63?re=A(this,N,j):oe<1024?re=_(this,N,j):re=k(this,N,j),re};function M(H,N){this.x=H,this.y=N}M.prototype.makeRBT=function(N){for(var j=new Array(N),re=f.prototype._countBits(N)-1,oe=0;oe<N;oe++)j[oe]=this.revBin(oe,re,N);return j},M.prototype.revBin=function(N,j,re){if(N===0||N===re-1)return N;for(var oe=0,_e=0;_e<j;_e++)oe|=(N&1)<<j-_e-1,N>>=1;return oe},M.prototype.permute=function(N,j,re,oe,_e,Me){for(var ke=0;ke<Me;ke++)oe[ke]=j[N[ke]],_e[ke]=re[N[ke]]},M.prototype.transform=function(N,j,re,oe,_e,Me){this.permute(Me,N,j,re,oe,_e);for(var ke=1;ke<_e;ke<<=1)for(var me=ke<<1,ie=Math.cos(2*Math.PI/me),Se=Math.sin(2*Math.PI/me),Le=0;Le<_e;Le+=me)for(var Ae=ie,De=Se,Pe=0;Pe<ke;Pe++){var ge=re[Le+Pe],Fe=oe[Le+Pe],ce=re[Le+Pe+ke],Ze=oe[Le+Pe+ke],ct=Ae*ce-De*Ze;Ze=Ae*Ze+De*ce,ce=ct,re[Le+Pe]=ge+ce,oe[Le+Pe]=Fe+Ze,re[Le+Pe+ke]=ge-ce,oe[Le+Pe+ke]=Fe-Ze,Pe!==me&&(ct=ie*Ae-Se*De,De=ie*De+Se*Ae,Ae=ct)}},M.prototype.guessLen13b=function(N,j){var re=Math.max(j,N)|1,oe=re&1,_e=0;for(re=re/2|0;re;re=re>>>1)_e++;return 1<<_e+1+oe},M.prototype.conjugate=function(N,j,re){if(!(re<=1))for(var oe=0;oe<re/2;oe++){var _e=N[oe];N[oe]=N[re-oe-1],N[re-oe-1]=_e,_e=j[oe],j[oe]=-j[re-oe-1],j[re-oe-1]=-_e}},M.prototype.normalize13b=function(N,j){for(var re=0,oe=0;oe<j/2;oe++){var _e=Math.round(N[2*oe+1]/j)*8192+Math.round(N[2*oe]/j)+re;N[oe]=_e&67108863,_e<67108864?re=0:re=_e/67108864|0}return N},M.prototype.convert13b=function(N,j,re,oe){for(var _e=0,Me=0;Me<j;Me++)_e=_e+(N[Me]|0),re[2*Me]=_e&8191,_e=_e>>>13,re[2*Me+1]=_e&8191,_e=_e>>>13;for(Me=2*j;Me<oe;++Me)re[Me]=0;u(_e===0),u((_e&-8192)===0)},M.prototype.stub=function(N){for(var j=new Array(N),re=0;re<N;re++)j[re]=0;return j},M.prototype.mulp=function(N,j,re){var oe=2*this.guessLen13b(N.length,j.length),_e=this.makeRBT(oe),Me=this.stub(oe),ke=new Array(oe),me=new Array(oe),ie=new Array(oe),Se=new Array(oe),Le=new Array(oe),Ae=new Array(oe),De=re.words;De.length=oe,this.convert13b(N.words,N.length,ke,oe),this.convert13b(j.words,j.length,Se,oe),this.transform(ke,Me,me,ie,oe,_e),this.transform(Se,Me,Le,Ae,oe,_e);for(var Pe=0;Pe<oe;Pe++){var ge=me[Pe]*Le[Pe]-ie[Pe]*Ae[Pe];ie[Pe]=me[Pe]*Ae[Pe]+ie[Pe]*Le[Pe],me[Pe]=ge}return this.conjugate(me,ie,oe),this.transform(me,ie,De,Me,oe,_e),this.conjugate(De,Me,oe),this.normalize13b(De,oe),re.negative=N.negative^j.negative,re.length=N.length+j.length,re.strip()},f.prototype.mul=function(N){var j=new f(null);return j.words=new Array(this.length+N.length),this.mulTo(N,j)},f.prototype.mulf=function(N){var j=new f(null);return j.words=new Array(this.length+N.length),k(this,N,j)},f.prototype.imul=function(N){return this.clone().mulTo(N,this)},f.prototype.imuln=function(N){u(typeof N==\"number\"),u(N<67108864);for(var j=0,re=0;re<this.length;re++){var oe=(this.words[re]|0)*N,_e=(oe&67108863)+(j&67108863);j>>=26,j+=oe/67108864|0,j+=_e>>>26,this.words[re]=_e&67108863}return j!==0&&(this.words[re]=j,this.length++),this},f.prototype.muln=function(N){return this.clone().imuln(N)},f.prototype.sqr=function(){return this.mul(this)},f.prototype.isqr=function(){return this.imul(this.clone())},f.prototype.pow=function(N){var j=E(N);if(j.length===0)return new f(1);for(var re=this,oe=0;oe<j.length&&j[oe]===0;oe++,re=re.sqr());if(++oe<j.length)for(var _e=re.sqr();oe<j.length;oe++,_e=_e.sqr())j[oe]!==0&&(re=re.mul(_e));return re},f.prototype.iushln=function(N){u(typeof N==\"number\"&&N>=0);var j=N%26,re=(N-j)/26,oe=67108863>>>26-j<<26-j,_e;if(j!==0){var Me=0;for(_e=0;_e<this.length;_e++){var ke=this.words[_e]&oe,me=(this.words[_e]|0)-ke<<j;this.words[_e]=me|Me,Me=ke>>>26-j}Me&&(this.words[_e]=Me,this.length++)}if(re!==0){for(_e=this.length-1;_e>=0;_e--)this.words[_e+re]=this.words[_e];for(_e=0;_e<re;_e++)this.words[_e]=0;this.length+=re}return this.strip()},f.prototype.ishln=function(N){return u(this.negative===0),this.iushln(N)},f.prototype.iushrn=function(N,j,re){u(typeof N==\"number\"&&N>=0);var oe;j?oe=(j-j%26)/26:oe=0;var _e=N%26,Me=Math.min((N-_e)/26,this.length),ke=67108863^67108863>>>_e<<_e,me=re;if(oe-=Me,oe=Math.max(0,oe),me){for(var ie=0;ie<Me;ie++)me.words[ie]=this.words[ie];me.length=Me}if(Me!==0)if(this.length>Me)for(this.length-=Me,ie=0;ie<this.length;ie++)this.words[ie]=this.words[ie+Me];else this.words[0]=0,this.length=1;var Se=0;for(ie=this.length-1;ie>=0&&(Se!==0||ie>=oe);ie--){var Le=this.words[ie]|0;this.words[ie]=Se<<26-_e|Le>>>_e,Se=Le&ke}return me&&Se!==0&&(me.words[me.length++]=Se),this.length===0&&(this.words[0]=0,this.length=1),this.strip()},f.prototype.ishrn=function(N,j,re){return u(this.negative===0),this.iushrn(N,j,re)},f.prototype.shln=function(N){return this.clone().ishln(N)},f.prototype.ushln=function(N){return this.clone().iushln(N)},f.prototype.shrn=function(N){return this.clone().ishrn(N)},f.prototype.ushrn=function(N){return this.clone().iushrn(N)},f.prototype.testn=function(N){u(typeof N==\"number\"&&N>=0);var j=N%26,re=(N-j)/26,oe=1<<j;if(this.length<=re)return!1;var _e=this.words[re];return!!(_e&oe)},f.prototype.imaskn=function(N){u(typeof N==\"number\"&&N>=0);var j=N%26,re=(N-j)/26;if(u(this.negative===0,\"imaskn works only with positive numbers\"),this.length<=re)return this;if(j!==0&&re++,this.length=Math.min(re,this.length),j!==0){var oe=67108863^67108863>>>j<<j;this.words[this.length-1]&=oe}return this.strip()},f.prototype.maskn=function(N){return this.clone().imaskn(N)},f.prototype.iaddn=function(N){return u(typeof N==\"number\"),u(N<67108864),N<0?this.isubn(-N):this.negative!==0?this.length===1&&(this.words[0]|0)<N?(this.words[0]=N-(this.words[0]|0),this.negative=0,this):(this.negative=0,this.isubn(N),this.negative=1,this):this._iaddn(N)},f.prototype._iaddn=function(N){this.words[0]+=N;for(var j=0;j<this.length&&this.words[j]>=67108864;j++)this.words[j]-=67108864,j===this.length-1?this.words[j+1]=1:this.words[j+1]++;return this.length=Math.max(this.length,j+1),this},f.prototype.isubn=function(N){if(u(typeof N==\"number\"),u(N<67108864),N<0)return this.iaddn(-N);if(this.negative!==0)return this.negative=0,this.iaddn(N),this.negative=1,this;if(this.words[0]-=N,this.length===1&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var j=0;j<this.length&&this.words[j]<0;j++)this.words[j]+=67108864,this.words[j+1]-=1;return this.strip()},f.prototype.addn=function(N){return this.clone().iaddn(N)},f.prototype.subn=function(N){return this.clone().isubn(N)},f.prototype.iabs=function(){return this.negative=0,this},f.prototype.abs=function(){return this.clone().iabs()},f.prototype._ishlnsubmul=function(N,j,re){var oe=N.length+re,_e;this._expand(oe);var Me,ke=0;for(_e=0;_e<N.length;_e++){Me=(this.words[_e+re]|0)+ke;var me=(N.words[_e]|0)*j;Me-=me&67108863,ke=(Me>>26)-(me/67108864|0),this.words[_e+re]=Me&67108863}for(;_e<this.length-re;_e++)Me=(this.words[_e+re]|0)+ke,ke=Me>>26,this.words[_e+re]=Me&67108863;if(ke===0)return this.strip();for(u(ke===-1),ke=0,_e=0;_e<this.length;_e++)Me=-(this.words[_e]|0)+ke,ke=Me>>26,this.words[_e]=Me&67108863;return this.negative=1,this.strip()},f.prototype._wordDiv=function(N,j){var re=this.length-N.length,oe=this.clone(),_e=N,Me=_e.words[_e.length-1]|0,ke=this._countBits(Me);re=26-ke,re!==0&&(_e=_e.ushln(re),oe.iushln(re),Me=_e.words[_e.length-1]|0);var me=oe.length-_e.length,ie;if(j!==\"mod\"){ie=new f(null),ie.length=me+1,ie.words=new Array(ie.length);for(var Se=0;Se<ie.length;Se++)ie.words[Se]=0}var Le=oe.clone()._ishlnsubmul(_e,1,me);Le.negative===0&&(oe=Le,ie&&(ie.words[me]=1));for(var Ae=me-1;Ae>=0;Ae--){var De=(oe.words[_e.length+Ae]|0)*67108864+(oe.words[_e.length+Ae-1]|0);for(De=Math.min(De/Me|0,67108863),oe._ishlnsubmul(_e,De,Ae);oe.negative!==0;)De--,oe.negative=0,oe._ishlnsubmul(_e,1,Ae),oe.isZero()||(oe.negative^=1);ie&&(ie.words[Ae]=De)}return ie&&ie.strip(),oe.strip(),j!==\"div\"&&re!==0&&oe.iushrn(re),{div:ie||null,mod:oe}},f.prototype.divmod=function(N,j,re){if(u(!N.isZero()),this.isZero())return{div:new f(0),mod:new f(0)};var oe,_e,Me;return this.negative!==0&&N.negative===0?(Me=this.neg().divmod(N,j),j!==\"mod\"&&(oe=Me.div.neg()),j!==\"div\"&&(_e=Me.mod.neg(),re&&_e.negative!==0&&_e.iadd(N)),{div:oe,mod:_e}):this.negative===0&&N.negative!==0?(Me=this.divmod(N.neg(),j),j!==\"mod\"&&(oe=Me.div.neg()),{div:oe,mod:Me.mod}):(this.negative&N.negative)!==0?(Me=this.neg().divmod(N.neg(),j),j!==\"div\"&&(_e=Me.mod.neg(),re&&_e.negative!==0&&_e.isub(N)),{div:Me.div,mod:_e}):N.length>this.length||this.cmp(N)<0?{div:new f(0),mod:this}:N.length===1?j===\"div\"?{div:this.divn(N.words[0]),mod:null}:j===\"mod\"?{div:null,mod:new f(this.modn(N.words[0]))}:{div:this.divn(N.words[0]),mod:new f(this.modn(N.words[0]))}:this._wordDiv(N,j)},f.prototype.div=function(N){return this.divmod(N,\"div\",!1).div},f.prototype.mod=function(N){return this.divmod(N,\"mod\",!1).mod},f.prototype.umod=function(N){return this.divmod(N,\"mod\",!0).mod},f.prototype.divRound=function(N){var j=this.divmod(N);if(j.mod.isZero())return j.div;var re=j.div.negative!==0?j.mod.isub(N):j.mod,oe=N.ushrn(1),_e=N.andln(1),Me=re.cmp(oe);return Me<0||_e===1&&Me===0?j.div:j.div.negative!==0?j.div.isubn(1):j.div.iaddn(1)},f.prototype.modn=function(N){u(N<=67108863);for(var j=(1<<26)%N,re=0,oe=this.length-1;oe>=0;oe--)re=(j*re+(this.words[oe]|0))%N;return re},f.prototype.idivn=function(N){u(N<=67108863);for(var j=0,re=this.length-1;re>=0;re--){var oe=(this.words[re]|0)+j*67108864;this.words[re]=oe/N|0,j=oe%N}return this.strip()},f.prototype.divn=function(N){return this.clone().idivn(N)},f.prototype.egcd=function(N){u(N.negative===0),u(!N.isZero());var j=this,re=N.clone();j.negative!==0?j=j.umod(N):j=j.clone();for(var oe=new f(1),_e=new f(0),Me=new f(0),ke=new f(1),me=0;j.isEven()&&re.isEven();)j.iushrn(1),re.iushrn(1),++me;for(var ie=re.clone(),Se=j.clone();!j.isZero();){for(var Le=0,Ae=1;(j.words[0]&Ae)===0&&Le<26;++Le,Ae<<=1);if(Le>0)for(j.iushrn(Le);Le-- >0;)(oe.isOdd()||_e.isOdd())&&(oe.iadd(ie),_e.isub(Se)),oe.iushrn(1),_e.iushrn(1);for(var De=0,Pe=1;(re.words[0]&Pe)===0&&De<26;++De,Pe<<=1);if(De>0)for(re.iushrn(De);De-- >0;)(Me.isOdd()||ke.isOdd())&&(Me.iadd(ie),ke.isub(Se)),Me.iushrn(1),ke.iushrn(1);j.cmp(re)>=0?(j.isub(re),oe.isub(Me),_e.isub(ke)):(re.isub(j),Me.isub(oe),ke.isub(_e))}return{a:Me,b:ke,gcd:re.iushln(me)}},f.prototype._invmp=function(N){u(N.negative===0),u(!N.isZero());var j=this,re=N.clone();j.negative!==0?j=j.umod(N):j=j.clone();for(var oe=new f(1),_e=new f(0),Me=re.clone();j.cmpn(1)>0&&re.cmpn(1)>0;){for(var ke=0,me=1;(j.words[0]&me)===0&&ke<26;++ke,me<<=1);if(ke>0)for(j.iushrn(ke);ke-- >0;)oe.isOdd()&&oe.iadd(Me),oe.iushrn(1);for(var ie=0,Se=1;(re.words[0]&Se)===0&&ie<26;++ie,Se<<=1);if(ie>0)for(re.iushrn(ie);ie-- >0;)_e.isOdd()&&_e.iadd(Me),_e.iushrn(1);j.cmp(re)>=0?(j.isub(re),oe.isub(_e)):(re.isub(j),_e.isub(oe))}var Le;return j.cmpn(1)===0?Le=oe:Le=_e,Le.cmpn(0)<0&&Le.iadd(N),Le},f.prototype.gcd=function(N){if(this.isZero())return N.abs();if(N.isZero())return this.abs();var j=this.clone(),re=N.clone();j.negative=0,re.negative=0;for(var oe=0;j.isEven()&&re.isEven();oe++)j.iushrn(1),re.iushrn(1);do{for(;j.isEven();)j.iushrn(1);for(;re.isEven();)re.iushrn(1);var _e=j.cmp(re);if(_e<0){var Me=j;j=re,re=Me}else if(_e===0||re.cmpn(1)===0)break;j.isub(re)}while(!0);return re.iushln(oe)},f.prototype.invm=function(N){return this.egcd(N).a.umod(N)},f.prototype.isEven=function(){return(this.words[0]&1)===0},f.prototype.isOdd=function(){return(this.words[0]&1)===1},f.prototype.andln=function(N){return this.words[0]&N},f.prototype.bincn=function(N){u(typeof N==\"number\");var j=N%26,re=(N-j)/26,oe=1<<j;if(this.length<=re)return this._expand(re+1),this.words[re]|=oe,this;for(var _e=oe,Me=re;_e!==0&&Me<this.length;Me++){var ke=this.words[Me]|0;ke+=_e,_e=ke>>>26,ke&=67108863,this.words[Me]=ke}return _e!==0&&(this.words[Me]=_e,this.length++),this},f.prototype.isZero=function(){return this.length===1&&this.words[0]===0},f.prototype.cmpn=function(N){var j=N<0;if(this.negative!==0&&!j)return-1;if(this.negative===0&&j)return 1;this.strip();var re;if(this.length>1)re=1;else{j&&(N=-N),u(N<=67108863,\"Number is too big\");var oe=this.words[0]|0;re=oe===N?0:oe<N?-1:1}return this.negative!==0?-re|0:re},f.prototype.cmp=function(N){if(this.negative!==0&&N.negative===0)return-1;if(this.negative===0&&N.negative!==0)return 1;var j=this.ucmp(N);return this.negative!==0?-j|0:j},f.prototype.ucmp=function(N){if(this.length>N.length)return 1;if(this.length<N.length)return-1;for(var j=0,re=this.length-1;re>=0;re--){var oe=this.words[re]|0,_e=N.words[re]|0;if(oe!==_e){oe<_e?j=-1:oe>_e&&(j=1);break}}return j},f.prototype.gtn=function(N){return this.cmpn(N)===1},f.prototype.gt=function(N){return this.cmp(N)===1},f.prototype.gten=function(N){return this.cmpn(N)>=0},f.prototype.gte=function(N){return this.cmp(N)>=0},f.prototype.ltn=function(N){return this.cmpn(N)===-1},f.prototype.lt=function(N){return this.cmp(N)===-1},f.prototype.lten=function(N){return this.cmpn(N)<=0},f.prototype.lte=function(N){return this.cmp(N)<=0},f.prototype.eqn=function(N){return this.cmpn(N)===0},f.prototype.eq=function(N){return this.cmp(N)===0},f.red=function(N){return new G(N)},f.prototype.toRed=function(N){return u(!this.red,\"Already a number in reduction context\"),u(this.negative===0,\"red works only with positives\"),N.convertTo(this)._forceRed(N)},f.prototype.fromRed=function(){return u(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},f.prototype._forceRed=function(N){return this.red=N,this},f.prototype.forceRed=function(N){return u(!this.red,\"Already a number in reduction context\"),this._forceRed(N)},f.prototype.redAdd=function(N){return u(this.red,\"redAdd works only with red numbers\"),this.red.add(this,N)},f.prototype.redIAdd=function(N){return u(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,N)},f.prototype.redSub=function(N){return u(this.red,\"redSub works only with red numbers\"),this.red.sub(this,N)},f.prototype.redISub=function(N){return u(this.red,\"redISub works only with red numbers\"),this.red.isub(this,N)},f.prototype.redShl=function(N){return u(this.red,\"redShl works only with red numbers\"),this.red.shl(this,N)},f.prototype.redMul=function(N){return u(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,N),this.red.mul(this,N)},f.prototype.redIMul=function(N){return u(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,N),this.red.imul(this,N)},f.prototype.redSqr=function(){return u(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},f.prototype.redISqr=function(){return u(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},f.prototype.redSqrt=function(){return u(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},f.prototype.redInvm=function(){return u(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},f.prototype.redNeg=function(){return u(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},f.prototype.redPow=function(N){return u(this.red&&!N.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,N)};var g={k256:null,p224:null,p192:null,p25519:null};function P(H,N){this.name=H,this.p=new f(N,16),this.n=this.p.bitLength(),this.k=new f(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}P.prototype._tmp=function(){var N=new f(null);return N.words=new Array(Math.ceil(this.n/13)),N},P.prototype.ireduce=function(N){var j=N,re;do this.split(j,this.tmp),j=this.imulK(j),j=j.iadd(this.tmp),re=j.bitLength();while(re>this.n);var oe=re<this.n?-1:j.ucmp(this.p);return oe===0?(j.words[0]=0,j.length=1):oe>0?j.isub(this.p):j.strip!==void 0?j.strip():j._strip(),j},P.prototype.split=function(N,j){N.iushrn(this.n,0,j)},P.prototype.imulK=function(N){return N.imul(this.k)};function T(){P.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}c(T,P),T.prototype.split=function(N,j){for(var re=4194303,oe=Math.min(N.length,9),_e=0;_e<oe;_e++)j.words[_e]=N.words[_e];if(j.length=oe,N.length<=9){N.words[0]=0,N.length=1;return}var Me=N.words[9];for(j.words[j.length++]=Me&re,_e=10;_e<N.length;_e++){var ke=N.words[_e]|0;N.words[_e-10]=(ke&re)<<4|Me>>>22,Me=ke}Me>>>=22,N.words[_e-10]=Me,Me===0&&N.length>10?N.length-=10:N.length-=9},T.prototype.imulK=function(N){N.words[N.length]=0,N.words[N.length+1]=0,N.length+=2;for(var j=0,re=0;re<N.length;re++){var oe=N.words[re]|0;j+=oe*977,N.words[re]=j&67108863,j=oe*64+(j/67108864|0)}return N.words[N.length-1]===0&&(N.length--,N.words[N.length-1]===0&&N.length--),N};function z(){P.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}c(z,P);function O(){P.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}c(O,P);function V(){P.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}c(V,P),V.prototype.imulK=function(N){for(var j=0,re=0;re<N.length;re++){var oe=(N.words[re]|0)*19+j,_e=oe&67108863;oe>>>=26,N.words[re]=_e,j=oe}return j!==0&&(N.words[N.length++]=j),N},f._prime=function(N){if(g[N])return g[N];var j;if(N===\"k256\")j=new T;else if(N===\"p224\")j=new z;else if(N===\"p192\")j=new O;else if(N===\"p25519\")j=new V;else throw new Error(\"Unknown prime \"+N);return g[N]=j,j};function G(H){if(typeof H==\"string\"){var N=f._prime(H);this.m=N.p,this.prime=N}else u(H.gtn(1),\"modulus must be greater than 1\"),this.m=H,this.prime=null}G.prototype._verify1=function(N){u(N.negative===0,\"red works only with positives\"),u(N.red,\"red works only with red numbers\")},G.prototype._verify2=function(N,j){u((N.negative|j.negative)===0,\"red works only with positives\"),u(N.red&&N.red===j.red,\"red works only with red numbers\")},G.prototype.imod=function(N){return this.prime?this.prime.ireduce(N)._forceRed(this):N.umod(this.m)._forceRed(this)},G.prototype.neg=function(N){return N.isZero()?N.clone():this.m.sub(N)._forceRed(this)},G.prototype.add=function(N,j){this._verify2(N,j);var re=N.add(j);return re.cmp(this.m)>=0&&re.isub(this.m),re._forceRed(this)},G.prototype.iadd=function(N,j){this._verify2(N,j);var re=N.iadd(j);return re.cmp(this.m)>=0&&re.isub(this.m),re},G.prototype.sub=function(N,j){this._verify2(N,j);var re=N.sub(j);return re.cmpn(0)<0&&re.iadd(this.m),re._forceRed(this)},G.prototype.isub=function(N,j){this._verify2(N,j);var re=N.isub(j);return re.cmpn(0)<0&&re.iadd(this.m),re},G.prototype.shl=function(N,j){return this._verify1(N),this.imod(N.ushln(j))},G.prototype.imul=function(N,j){return this._verify2(N,j),this.imod(N.imul(j))},G.prototype.mul=function(N,j){return this._verify2(N,j),this.imod(N.mul(j))},G.prototype.isqr=function(N){return this.imul(N,N.clone())},G.prototype.sqr=function(N){return this.mul(N,N)},G.prototype.sqrt=function(N){if(N.isZero())return N.clone();var j=this.m.andln(3);if(u(j%2===1),j===3){var re=this.m.add(new f(1)).iushrn(2);return this.pow(N,re)}for(var oe=this.m.subn(1),_e=0;!oe.isZero()&&oe.andln(1)===0;)_e++,oe.iushrn(1);u(!oe.isZero());var Me=new f(1).toRed(this),ke=Me.redNeg(),me=this.m.subn(1).iushrn(1),ie=this.m.bitLength();for(ie=new f(2*ie*ie).toRed(this);this.pow(ie,me).cmp(ke)!==0;)ie.redIAdd(ke);for(var Se=this.pow(ie,oe),Le=this.pow(N,oe.addn(1).iushrn(1)),Ae=this.pow(N,oe),De=_e;Ae.cmp(Me)!==0;){for(var Pe=Ae,ge=0;Pe.cmp(Me)!==0;ge++)Pe=Pe.redSqr();u(ge<De);var Fe=this.pow(Se,new f(1).iushln(De-ge-1));Le=Le.redMul(Fe),Se=Fe.redSqr(),Ae=Ae.redMul(Se),De=ge}return Le},G.prototype.invm=function(N){var j=N._invmp(this.m);return j.negative!==0?(j.negative=0,this.imod(j).redNeg()):this.imod(j)},G.prototype.pow=function(N,j){if(j.isZero())return new f(1).toRed(this);if(j.cmpn(1)===0)return N.clone();var re=4,oe=new Array(1<<re);oe[0]=new f(1).toRed(this),oe[1]=N;for(var _e=2;_e<oe.length;_e++)oe[_e]=this.mul(oe[_e-1],N);var Me=oe[0],ke=0,me=0,ie=j.bitLength()%26;for(ie===0&&(ie=26),_e=j.length-1;_e>=0;_e--){for(var Se=j.words[_e],Le=ie-1;Le>=0;Le--){var Ae=Se>>Le&1;if(Me!==oe[0]&&(Me=this.sqr(Me)),Ae===0&&ke===0){me=0;continue}ke<<=1,ke|=Ae,me++,!(me!==re&&(_e!==0||Le!==0))&&(Me=this.mul(Me,oe[ke]),me=0,ke=0)}ie=26}return Me},G.prototype.convertTo=function(N){var j=N.umod(this.m);return j===N?j.clone():j},G.prototype.convertFrom=function(N){var j=N.clone();return j.red=null,j},f.mont=function(N){return new Z(N)};function Z(H){G.call(this,H),this.shift=this.m.bitLength(),this.shift%26!==0&&(this.shift+=26-this.shift%26),this.r=new 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z=C[_+g],O=C[_+P];if(z<A&&A<=O)if(M===T)M+=1,k+=L;else{for(var V=0;L>V;++V){var G=C[_+V];C[_+V]=C[k],C[k++]=G}var Z=E[T];E[T]=E[M],E[M++]=Z}}return M}function d(v,x,b,p,C,E,A,L){for(var _=2*v,k=_*b,M=k,g=b,P=x,T=v+x,z=b;p>z;++z,k+=_){var O=C[k+P],V=C[k+T];if(!(O>=A)&&!(L>=V))if(g===z)g+=1,M+=_;else{for(var G=0;_>G;++G){var Z=C[k+G];C[k+G]=C[M],C[M++]=Z}var H=E[z];E[z]=E[g],E[g++]=H}}return g}},4192:function(i){\"use strict\";i.exports=o;var a=32;function o(x,b){b<=4*a?s(0,b-1,x):v(0,b-1,x)}function s(x,b,p){for(var C=2*(x+1),E=x+1;E<=b;++E){for(var A=p[C++],L=p[C++],_=E,k=C-2;_-- >x;){var M=p[k-2],g=p[k-1];if(M<A)break;if(M===A&&g<L)break;p[k]=M,p[k+1]=g,k-=2}p[k]=A,p[k+1]=L}}function l(x,b,p){x*=2,b*=2;var C=p[x],E=p[x+1];p[x]=p[b],p[x+1]=p[b+1],p[b]=C,p[b+1]=E}function u(x,b,p){x*=2,b*=2,p[x]=p[b],p[x+1]=p[b+1]}function c(x,b,p,C){x*=2,b*=2,p*=2;var E=C[x],A=C[x+1];C[x]=C[b],C[x+1]=C[b+1],C[b]=C[p],C[b+1]=C[p+1],C[p]=E,C[p+1]=A}function 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ge=C[2*ke+1]|0,Fe=ge&1;if(ke<Le-1&&ge>>1===C[2*ke+3]>>1&&(Fe=2,ke+=1),ge<0){for(var ce=-(ge>>1)-1,Ze=0;Ze<Pe;++Ze){var ct=T(b[Ze],ce);if(ct!==void 0)return ct}if(Fe!==0)for(var Ze=0;Ze<Ae;++Ze){var ct=T(h[Ze],ce);if(ct!==void 0)return ct}if(Fe!==1)for(var Ze=0;Ze<De;++Ze){var ct=T(v[Ze],ce);if(ct!==void 0)return ct}Fe===0?L(h,d,Ae++,ce):Fe===1?L(v,x,De++,ce):Fe===2&&L(b,p,Pe++,ce)}else{var ce=(ge>>1)-1;Fe===0?A(h,d,Ae--,ce):Fe===1?A(v,x,De--,ce):Fe===2&&A(b,p,Pe--,ce)}}}function M(P,T,z,O,V,G,Z,H,N,j,re,oe){var _e=0,Me=2*P,ke=T,me=T+P,ie=1,Se=1;O?Se=c:ie=c;for(var Le=V;Le<G;++Le){var Ae=Le+ie,De=Me*Le;C[_e++]=Z[De+ke],C[_e++]=-Ae,C[_e++]=Z[De+me],C[_e++]=Ae}for(var Le=N;Le<j;++Le){var Ae=Le+Se,Pe=Me*Le;C[_e++]=re[Pe+ke],C[_e++]=-Ae}var ge=_e>>>1;u(C,ge);for(var Fe=0,Le=0;Le<ge;++Le){var ce=C[2*Le+1]|0;if(ce<0){var Ae=-ce,Ze=!1;if(Ae>=c?(Ze=!O,Ae-=c):(Ze=!!O,Ae-=1),Ze)L(h,d,Fe++,Ae);else{var ct=oe[Ae],pt=Me*Ae,Wt=re[pt+T+1],st=re[pt+T+1+P];e:for(var lt=0;lt<Fe;++lt){var Gt=h[lt],Nt=Me*Gt;if(!(st<Z[Nt+T+1]||Z[Nt+T+1+P]<Wt)){for(var $t=T+2;$t<P;++$t)if(re[pt+$t+P]<Z[Nt+$t]||Z[Nt+$t+P]<re[pt+$t])continue e;var sr=H[Gt],wr;if(O?wr=z(ct,sr):wr=z(sr,ct),wr!==void 0)return wr}}}}else A(h,d,Fe--,ce-ie)}}function g(P,T,z,O,V,G,Z,H,N,j,re){for(var oe=0,_e=2*P,Me=T,ke=T+P,me=O;me<V;++me){var ie=me+c,Se=_e*me;C[oe++]=G[Se+Me],C[oe++]=-ie,C[oe++]=G[Se+ke],C[oe++]=ie}for(var me=H;me<N;++me){var ie=me+1,Le=_e*me;C[oe++]=j[Le+Me],C[oe++]=-ie}var Ae=oe>>>1;u(C,Ae);for(var De=0,me=0;me<Ae;++me){var Pe=C[2*me+1]|0;if(Pe<0){var ie=-Pe;if(ie>=c)h[De++]=ie-c;else{ie-=1;var ge=re[ie],Fe=_e*ie,ce=j[Fe+T+1],Ze=j[Fe+T+1+P];e:for(var ct=0;ct<De;++ct){var pt=h[ct],Wt=Z[pt];if(Wt===ge)break;var st=_e*pt;if(!(Ze<G[st+T+1]||G[st+T+1+P]<ce)){for(var lt=T+2;lt<P;++lt)if(j[Fe+lt+P]<G[st+lt]||G[st+lt+P]<j[Fe+lt])continue e;var Gt=z(Wt,ge);if(Gt!==void 0)return Gt}}}}else{for(var ie=Pe-c,ct=De-1;ct>=0;--ct)if(h[ct]===ie){for(var lt=ct+1;lt<De;++lt)h[lt-1]=h[lt];break}--De}}}},2538:function(i,a,o){\"use strict\";var s=o(8902),l=o(5542),u=o(2272),c=o(5023);i.exports=x;function f(b){return[Math.min(b[0],b[1]),Math.max(b[0],b[1])]}function h(b,p){return b[0]-p[0]||b[1]-p[1]}function d(b){return b.map(f).sort(h)}function v(b,p,C){return p in b?b[p]:C}function x(b,p,C){Array.isArray(p)?(C=C||{},p=p||[]):(C=p||{},p=[]);var E=!!v(C,\"delaunay\",!0),A=!!v(C,\"interior\",!0),L=!!v(C,\"exterior\",!0),_=!!v(C,\"infinity\",!1);if(!A&&!L||b.length===0)return[];var k=s(b,p);if(E||A!==L||_){for(var M=l(b.length,d(p)),g=0;g<k.length;++g){var P=k[g];M.addTriangle(P[0],P[1],P[2])}return E&&u(b,M),L?A?_?c(M,0,_):M.cells():c(M,1,_):c(M,-1)}else return k}},2272:function(i,a,o){\"use strict\";var s=o(2646)[4],l=o(2478);i.exports=c;function u(f,h,d,v,x,b){var p=h.opposite(v,x);if(!(p<0)){if(x<v){var C=v;v=x,x=C,C=b,b=p,p=C}h.isConstraint(v,x)||s(f[v],f[x],f[b],f[p])<0&&d.push(v,x)}}function c(f,h){for(var 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z=_[T-2];z.left===M?z.left=g:z.right=g}_[T-1]=g;return}else if(g.left&&g.left._color===a){if(g=M.right=l(g),P=g.left=l(g.left),M.right=P.left,g.left=P.right,P.left=M,P.right=g,P._color=M._color,M._color=o,g._color=o,k._color=o,c(M),c(g),c(P),T>1){var z=_[T-2];z.left===M?z.left=P:z.right=P}_[T-1]=P;return}if(g._color===o)if(M._color===a){M._color=o,M.right=u(a,g);return}else{M.right=u(a,g);continue}else{if(g=l(g),M.right=g.left,g.left=M,g._color=M._color,M._color=a,c(M),c(g),T>1){var z=_[T-2];z.left===M?z.left=g:z.right=g}_[T-1]=g,_[T]=M,T+1<_.length?_[T+1]=k:_.push(k),T=T+2}}else{if(g=M.left,g.left&&g.left._color===a){if(g=M.left=l(g),P=g.left=l(g.left),M.left=g.right,g.right=M,g.left=P,g._color=M._color,k._color=o,M._color=o,P._color=o,c(M),c(g),T>1){var z=_[T-2];z.right===M?z.right=g:z.left=g}_[T-1]=g;return}else if(g.right&&g.right._color===a){if(g=M.left=l(g),P=g.right=l(g.right),M.left=P.right,g.right=P.left,P.right=M,P.left=g,P._color=M._color,M._color=o,g._color=o,k._color=o,c(M),c(g),c(P),T>1){var z=_[T-2];z.right===M?z.right=P:z.left=P}_[T-1]=P;return}if(g._color===o)if(M._color===a){M._color=o,M.left=u(a,g);return}else{M.left=u(a,g);continue}else{if(g=l(g),M.left=g.right,g.right=M,g._color=M._color,M._color=a,c(M),c(g),T>1){var z=_[T-2];z.right===M?z.right=g:z.left=g}_[T-1]=g,_[T]=M,T+1<_.length?_[T+1]=k:_.push(k),T=T+2}}}}p.remove=function(){var _=this._stack;if(_.length===0)return this.tree;var k=new Array(_.length),M=_[_.length-1];k[k.length-1]=new s(M._color,M.key,M.value,M.left,M.right,M._count);for(var g=_.length-2;g>=0;--g){var M=_[g];M.left===_[g+1]?k[g]=new s(M._color,M.key,M.value,k[g+1],M.right,M._count):k[g]=new s(M._color,M.key,M.value,M.left,k[g+1],M._count)}if(M=k[k.length-1],M.left&&M.right){var P=k.length;for(M=M.left;M.right;)k.push(M),M=M.right;var T=k[P-1];k.push(new s(M._color,T.key,T.value,M.left,M.right,M._count)),k[P-1].key=M.key,k[P-1].value=M.value;for(var g=k.length-2;g>=P;--g)M=k[g],k[g]=new s(M._color,M.key,M.value,M.left,k[g+1],M._count);k[P-1].left=k[P]}if(M=k[k.length-1],M._color===a){var z=k[k.length-2];z.left===M?z.left=null:z.right===M&&(z.right=null),k.pop();for(var g=0;g<k.length;++g)k[g]._count--;return new f(this.tree._compare,k[0])}else if(M.left||M.right){M.left?C(M,M.left):M.right&&C(M,M.right),M._color=o;for(var g=0;g<k.length-1;++g)k[g]._count--;return new f(this.tree._compare,k[0])}else{if(k.length===1)return new f(this.tree._compare,null);for(var g=0;g<k.length;++g)k[g]._count--;var O=k[k.length-2];E(k),O.left===M?O.left=null:O.right=null}return new f(this.tree._compare,k[0])},Object.defineProperty(p,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(p,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(p,\"index\",{get:function(){var _=0,k=this._stack;if(k.length===0){var M=this.tree.root;return M?M._count:0}else k[k.length-1].left&&(_=k[k.length-1].left._count);for(var g=k.length-2;g>=0;--g)k[g+1]===k[g].right&&(++_,k[g].left&&(_+=k[g].left._count));return _},enumerable:!0}),p.next=function(){var _=this._stack;if(_.length!==0){var k=_[_.length-1];if(k.right)for(k=k.right;k;)_.push(k),k=k.left;else for(_.pop();_.length>0&&_[_.length-1].right===k;)k=_[_.length-1],_.pop()}},Object.defineProperty(p,\"hasNext\",{get:function(){var _=this._stack;if(_.length===0)return!1;if(_[_.length-1].right)return!0;for(var k=_.length-1;k>0;--k)if(_[k-1].left===_[k])return!0;return!1}}),p.update=function(_){var k=this._stack;if(k.length===0)throw new Error(\"Can't update empty node!\");var M=new Array(k.length),g=k[k.length-1];M[M.length-1]=new s(g._color,g.key,_,g.left,g.right,g._count);for(var P=k.length-2;P>=0;--P)g=k[P],g.left===k[P+1]?M[P]=new s(g._color,g.key,g.value,M[P+1],g.right,g._count):M[P]=new s(g._color,g.key,g.value,g.left,M[P+1],g._count);return new f(this.tree._compare,M[0])},p.prev=function(){var _=this._stack;if(_.length!==0){var k=_[_.length-1];if(k.left)for(k=k.left;k;)_.push(k),k=k.right;else for(_.pop();_.length>0&&_[_.length-1].left===k;)k=_[_.length-1],_.pop()}},Object.defineProperty(p,\"hasPrev\",{get:function(){var _=this._stack;if(_.length===0)return!1;if(_[_.length-1].left)return!0;for(var k=_.length-1;k>0;--k)if(_[k-1].right===_[k])return!0;return!1}});function A(_,k){return _<k?-1:_>k?1:0}function L(_){return new f(_||A,null)}},3837:function(i,a,o){\"use strict\";i.exports=O;var s=o(4935),l=o(501),u=o(5304),c=o(6429),f=o(6444),h=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),d=ArrayBuffer,v=DataView;function x(V){return d.isView(V)&&!(V instanceof v)}function b(V){return Array.isArray(V)||x(V)}function p(V,G){return V[0]=G[0],V[1]=G[1],V[2]=G[2],V}function C(V){this.gl=V,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=u(V)}var E=C.prototype;E.update=function(V){V=V||{};function G(Ae,De,Pe){if(Pe in V){var ge=V[Pe],Fe=this[Pe],ce;(Ae?b(ge)&&b(ge[0]):b(ge))?this[Pe]=ce=[De(ge[0]),De(ge[1]),De(ge[2])]:this[Pe]=ce=[De(ge),De(ge),De(ge)];for(var Ze=0;Ze<3;++Ze)if(ce[Ze]!==Fe[Ze])return!0}return!1}var Z=G.bind(this,!1,Number),H=G.bind(this,!1,Boolean),N=G.bind(this,!1,String),j=G.bind(this,!0,function(Ae){if(b(Ae)){if(Ae.length===3)return[+Ae[0],+Ae[1],+Ae[2],1];if(Ae.length===4)return[+Ae[0],+Ae[1],+Ae[2],+Ae[3]]}return[0,0,0,1]}),re,oe=!1,_e=!1;if(\"bounds\"in V)for(var Me=V.bounds,ke=0;ke<2;++ke)for(var me=0;me<3;++me)Me[ke][me]!==this.bounds[ke][me]&&(_e=!0),this.bounds[ke][me]=Me[ke][me];if(\"ticks\"in V){re=V.ticks,oe=!0,this.autoTicks=!1;for(var ke=0;ke<3;++ke)this.tickSpacing[ke]=0}else Z(\"tickSpacing\")&&(this.autoTicks=!0,_e=!0);if(this._firstInit&&(\"ticks\"in V||\"tickSpacing\"in V||(this.autoTicks=!0),_e=!0,oe=!0,this._firstInit=!1),_e&&this.autoTicks&&(re=f.create(this.bounds,this.tickSpacing),oe=!0),oe){for(var ke=0;ke<3;++ke)re[ke].sort(function(De,Pe){return De.x-Pe.x});f.equal(re,this.ticks)?oe=!1:this.ticks=re}H(\"tickEnable\"),N(\"tickFont\")&&(oe=!0),N(\"tickFontStyle\")&&(oe=!0),N(\"tickFontWeight\")&&(oe=!0),N(\"tickFontVariant\")&&(oe=!0),Z(\"tickSize\"),Z(\"tickAngle\"),Z(\"tickPad\"),j(\"tickColor\");var ie=N(\"labels\");N(\"labelFont\")&&(ie=!0),N(\"labelFontStyle\")&&(ie=!0),N(\"labelFontWeight\")&&(ie=!0),N(\"labelFontVariant\")&&(ie=!0),H(\"labelEnable\"),Z(\"labelSize\"),Z(\"labelPad\"),j(\"labelColor\"),H(\"lineEnable\"),H(\"lineMirror\"),Z(\"lineWidth\"),j(\"lineColor\"),H(\"lineTickEnable\"),H(\"lineTickMirror\"),Z(\"lineTickLength\"),Z(\"lineTickWidth\"),j(\"lineTickColor\"),H(\"gridEnable\"),Z(\"gridWidth\"),j(\"gridColor\"),H(\"zeroEnable\"),j(\"zeroLineColor\"),Z(\"zeroLineWidth\"),H(\"backgroundEnable\"),j(\"backgroundColor\");var Se=[{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]}],Le=[{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&&(ie||oe)&&this._text.update(this.bounds,this.labels,Se,this.ticks,Le):this._text=s(this.gl,this.bounds,this.labels,Se,this.ticks,Le),this._lines&&oe&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=l(this.gl,this.bounds,this.ticks))};function A(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}var L=[new A,new A,new A];function _(V,G,Z,H,N){for(var j=V.primalOffset,re=V.primalMinor,oe=V.mirrorOffset,_e=V.mirrorMinor,Me=H[G],ke=0;ke<3;++ke)if(G!==ke){var me=j,ie=oe,Se=re,Le=_e;Me&1<<ke&&(me=oe,ie=j,Se=_e,Le=re),me[ke]=Z[0][ke],ie[ke]=Z[1][ke],N[ke]>0?(Se[ke]=-1,Le[ke]=0):(Se[ke]=0,Le[ke]=1)}}var k=[0,0,0],M={model:h,view:h,projection:h,_ortho:!1};E.isOpaque=function(){return!0},E.isTransparent=function(){return!1},E.drawTransparent=function(V){};var g=0,P=[0,0,0],T=[0,0,0],z=[0,0,0];E.draw=function(V){V=V||M;for(var Pe=this.gl,G=V.model||h,Z=V.view||h,H=V.projection||h,N=this.bounds,j=V._ortho||!1,re=c(G,Z,H,N,j),oe=re.cubeEdges,_e=re.axis,Me=Z[12],ke=Z[13],me=Z[14],ie=Z[15],Se=j?2:1,Le=Se*this.pixelRatio*(H[3]*Me+H[7]*ke+H[11]*me+H[15]*ie)/Pe.drawingBufferHeight,Ae=0;Ae<3;++Ae)this.lastCubeProps.cubeEdges[Ae]=oe[Ae],this.lastCubeProps.axis[Ae]=_e[Ae];for(var De=L,Ae=0;Ae<3;++Ae)_(L[Ae],Ae,this.bounds,oe,_e);for(var Pe=this.gl,ge=k,Ae=0;Ae<3;++Ae)this.backgroundEnable[Ae]?ge[Ae]=_e[Ae]:ge[Ae]=0;this._background.draw(G,Z,H,N,ge,this.backgroundColor),this._lines.bind(G,Z,H,this);for(var Ae=0;Ae<3;++Ae){var Fe=[0,0,0];_e[Ae]>0?Fe[Ae]=N[1][Ae]:Fe[Ae]=N[0][Ae];for(var ce=0;ce<2;++ce){var Ze=(Ae+1+ce)%3,ct=(Ae+1+(ce^1))%3;this.gridEnable[Ze]&&this._lines.drawGrid(Ze,ct,this.bounds,Fe,this.gridColor[Ze],this.gridWidth[Ze]*this.pixelRatio)}for(var ce=0;ce<2;++ce){var Ze=(Ae+1+ce)%3,ct=(Ae+1+(ce^1))%3;this.zeroEnable[ct]&&Math.min(N[0][ct],N[1][ct])<=0&&Math.max(N[0][ct],N[1][ct])>=0&&this._lines.drawZero(Ze,ct,this.bounds,Fe,this.zeroLineColor[ct],this.zeroLineWidth[ct]*this.pixelRatio)}}for(var Ae=0;Ae<3;++Ae){this.lineEnable[Ae]&&this._lines.drawAxisLine(Ae,this.bounds,De[Ae].primalOffset,this.lineColor[Ae],this.lineWidth[Ae]*this.pixelRatio),this.lineMirror[Ae]&&this._lines.drawAxisLine(Ae,this.bounds,De[Ae].mirrorOffset,this.lineColor[Ae],this.lineWidth[Ae]*this.pixelRatio);for(var pt=p(P,De[Ae].primalMinor),Wt=p(T,De[Ae].mirrorMinor),st=this.lineTickLength,ce=0;ce<3;++ce){var lt=Le/G[5*ce];pt[ce]*=st[ce]*lt,Wt[ce]*=st[ce]*lt}this.lineTickEnable[Ae]&&this._lines.drawAxisTicks(Ae,De[Ae].primalOffset,pt,this.lineTickColor[Ae],this.lineTickWidth[Ae]*this.pixelRatio),this.lineTickMirror[Ae]&&this._lines.drawAxisTicks(Ae,De[Ae].mirrorOffset,Wt,this.lineTickColor[Ae],this.lineTickWidth[Ae]*this.pixelRatio)}this._lines.unbind(),this._text.bind(G,Z,H,this.pixelRatio);var Gt,Nt=.5,$t,sr;function wr(Ft){sr=[0,0,0],sr[Ft]=1}function ur(Ft,bt,yt){var Yt=(Ft+1)%3,lr=(Ft+2)%3,Tr=bt[Yt],Rr=bt[lr],ei=yt[Yt],Wr=yt[lr];if(Tr>0&&Wr>0){wr(Yt);return}else if(Tr>0&&Wr<0){wr(Yt);return}else if(Tr<0&&Wr>0){wr(Yt);return}else if(Tr<0&&Wr<0){wr(Yt);return}else if(Rr>0&&ei>0){wr(lr);return}else if(Rr>0&&ei<0){wr(lr);return}else if(Rr<0&&ei>0){wr(lr);return}else if(Rr<0&&ei<0){wr(lr);return}}for(var Ae=0;Ae<3;++Ae){for(var Qe=De[Ae].primalMinor,Et=De[Ae].mirrorMinor,er=p(z,De[Ae].primalOffset),ce=0;ce<3;++ce)this.lineTickEnable[Ae]&&(er[ce]+=Le*Qe[ce]*Math.max(this.lineTickLength[ce],0)/G[5*ce]);var Ut=[0,0,0];if(Ut[Ae]=1,this.tickEnable[Ae]){this.tickAngle[Ae]===-3600?(this.tickAngle[Ae]=0,this.tickAlign[Ae]=\"auto\"):this.tickAlign[Ae]=-1,$t=1,Gt=[this.tickAlign[Ae],Nt,$t],Gt[0]===\"auto\"?Gt[0]=g:Gt[0]=parseInt(\"\"+Gt[0]),sr=[0,0,0],ur(Ae,Qe,Et);for(var ce=0;ce<3;++ce)er[ce]+=Le*Qe[ce]*this.tickPad[ce]/G[5*ce];this._text.drawTicks(Ae,this.tickSize[Ae],this.tickAngle[Ae],er,this.tickColor[Ae],Ut,sr,Gt)}if(this.labelEnable[Ae]){$t=0,sr=[0,0,0],this.labels[Ae].length>4&&(wr(Ae),$t=1),Gt=[this.labelAlign[Ae],Nt,$t],Gt[0]===\"auto\"?Gt[0]=g:Gt[0]=parseInt(\"\"+Gt[0]);for(var ce=0;ce<3;++ce)er[ce]+=Le*Qe[ce]*this.labelPad[ce]/G[5*ce];er[Ae]+=.5*(N[0][Ae]+N[1][Ae]),this._text.drawLabel(Ae,this.labelSize[Ae],this.labelAngle[Ae],er,this.labelColor[Ae],[0,0,0],sr,Gt)}}this._text.unbind()},E.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null};function O(V,G){var Z=new C(V);return Z.update(G),Z}},5304:function(i,a,o){\"use strict\";i.exports=h;var s=o(2762),l=o(8116),u=o(1879).bg;function c(d,v,x,b){this.gl=d,this.buffer=v,this.vao=x,this.shader=b}var f=c.prototype;f.draw=function(d,v,x,b,p,C){for(var E=!1,A=0;A<3;++A)E=E||p[A];if(E){var L=this.gl;L.enable(L.POLYGON_OFFSET_FILL),L.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:d,view:v,projection:x,bounds:b,enable:p,colors:C},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),L.disable(L.POLYGON_OFFSET_FILL)}},f.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()};function h(d){for(var v=[],x=[],b=0,p=0;p<3;++p)for(var C=(p+1)%3,E=(p+2)%3,A=[0,0,0],L=[0,0,0],_=-1;_<=1;_+=2){x.push(b,b+2,b+1,b+1,b+2,b+3),A[p]=_,L[p]=_;for(var k=-1;k<=1;k+=2){A[C]=k;for(var M=-1;M<=1;M+=2)A[E]=M,v.push(A[0],A[1],A[2],L[0],L[1],L[2]),b+=1}var g=C;C=E,E=g}var P=s(d,new Float32Array(v)),T=s(d,new Uint16Array(x),d.ELEMENT_ARRAY_BUFFER),z=l(d,[{buffer:P,type:d.FLOAT,size:3,offset:0,stride:24},{buffer:P,type:d.FLOAT,size:3,offset:12,stride:24}],T),O=u(d);return O.attributes.position.location=0,O.attributes.normal.location=1,new c(d,P,z,O)}},6429:function(i,a,o){\"use strict\";i.exports=_;var s=o(8828),l=o(6760),u=o(5202),c=o(3250),f=new Array(16),h=new Array(8),d=new Array(8),v=new Array(3),x=[0,0,0];(function(){for(var k=0;k<8;++k)h[k]=[1,1,1,1],d[k]=[1,1,1]})();function b(k,M,g){for(var P=0;P<4;++P){k[P]=g[12+P];for(var T=0;T<3;++T)k[P]+=M[T]*g[4*T+P]}}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 C(k){for(var M=0;M<p.length;++M)if(k=u.positive(k,p[M]),k.length<3)return 0;for(var g=k[0],P=g[0]/g[3],T=g[1]/g[3],z=0,M=1;M+1<k.length;++M){var O=k[M],V=k[M+1],G=O[0]/O[3],Z=O[1]/O[3],H=V[0]/V[3],N=V[1]/V[3],j=G-P,re=Z-T,oe=H-P,_e=N-T;z+=Math.abs(j*_e-re*oe)}return z}var E=[1,1,1],A=[0,0,0],L={cubeEdges:E,axis:A};function _(k,M,g,P,T){l(f,M,k),l(f,g,f);for(var z=0,O=0;O<2;++O){v[2]=P[O][2];for(var V=0;V<2;++V){v[1]=P[V][1];for(var G=0;G<2;++G)v[0]=P[G][0],b(h[z],v,f),z+=1}}for(var Z=-1,O=0;O<8;++O){for(var H=h[O][3],N=0;N<3;++N)d[O][N]=h[O][N]/H;T&&(d[O][2]*=-1),H<0&&(Z<0||d[O][2]<d[Z][2])&&(Z=O)}if(Z<0){Z=0;for(var j=0;j<3;++j){for(var re=(j+2)%3,oe=(j+1)%3,_e=-1,Me=-1,ke=0;ke<2;++ke){var me=ke<<j,ie=me+(ke<<re)+(1-ke<<oe),Se=me+(1-ke<<re)+(ke<<oe);c(d[me],d[ie],d[Se],x)<0||(ke?_e=1:Me=1)}if(_e<0||Me<0){Me>_e&&(Z|=1<<j);continue}for(var ke=0;ke<2;++ke){var me=ke<<j,ie=me+(ke<<re)+(1-ke<<oe),Se=me+(1-ke<<re)+(ke<<oe),Le=C([h[me],h[ie],h[Se],h[me+(1<<re)+(1<<oe)]]);ke?_e=Le:Me=Le}if(Me>_e){Z|=1<<j;continue}}}for(var Ae=7^Z,De=-1,O=0;O<8;++O)O===Z||O===Ae||(De<0||d[De][1]>d[O][1])&&(De=O);for(var Pe=-1,O=0;O<3;++O){var ge=De^1<<O;if(!(ge===Z||ge===Ae)){Pe<0&&(Pe=ge);var oe=d[ge];oe[0]<d[Pe][0]&&(Pe=ge)}}for(var Fe=-1,O=0;O<3;++O){var ge=De^1<<O;if(!(ge===Z||ge===Ae||ge===Pe)){Fe<0&&(Fe=ge);var oe=d[ge];oe[0]>d[Fe][0]&&(Fe=ge)}}var ce=E;ce[0]=ce[1]=ce[2]=0,ce[s.log2(Pe^De)]=De&Pe,ce[s.log2(De^Fe)]=De&Fe;var Ze=Fe^7;Ze===Z||Ze===Ae?(Ze=Pe^7,ce[s.log2(Fe^Ze)]=Ze&Fe):ce[s.log2(Pe^Ze)]=Ze&Pe;for(var ct=A,pt=Z,j=0;j<3;++j)pt&1<<j?ct[j]=-1:ct[j]=1;return L}},501:function(i,a,o){\"use strict\";i.exports=E;var s=o(2762),l=o(8116),u=o(1879).n,c=[0,0,0],f=[0,0,0],h=[0,0,0],d=[0,0,0],v=[1,1];function x(A){return A[0]=A[1]=A[2]=0,A}function b(A,L){return A[0]=L[0],A[1]=L[1],A[2]=L[2],A}function p(A,L,_,k,M,g,P,T){this.gl=A,this.vertBuffer=L,this.vao=_,this.shader=k,this.tickCount=M,this.tickOffset=g,this.gridCount=P,this.gridOffset=T}var C=p.prototype;C.bind=function(A,L,_){this.shader.bind(),this.shader.uniforms.model=A,this.shader.uniforms.view=L,this.shader.uniforms.projection=_,v[0]=this.gl.drawingBufferWidth,v[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=v,this.vao.bind()},C.unbind=function(){this.vao.unbind()},C.drawAxisLine=function(A,L,_,k,M){var g=x(f);this.shader.uniforms.majorAxis=f,g[A]=L[1][A]-L[0][A],this.shader.uniforms.minorAxis=g;var P=b(d,_);P[A]+=L[0][A],this.shader.uniforms.offset=P,this.shader.uniforms.lineWidth=M,this.shader.uniforms.color=k;var T=x(h);T[(A+2)%3]=1,this.shader.uniforms.screenAxis=T,this.vao.draw(this.gl.TRIANGLES,6);var T=x(h);T[(A+1)%3]=1,this.shader.uniforms.screenAxis=T,this.vao.draw(this.gl.TRIANGLES,6)},C.drawAxisTicks=function(A,L,_,k,M){if(this.tickCount[A]){var g=x(c);g[A]=1,this.shader.uniforms.majorAxis=g,this.shader.uniforms.offset=L,this.shader.uniforms.minorAxis=_,this.shader.uniforms.color=k,this.shader.uniforms.lineWidth=M;var P=x(h);P[A]=1,this.shader.uniforms.screenAxis=P,this.vao.draw(this.gl.TRIANGLES,this.tickCount[A],this.tickOffset[A])}},C.drawGrid=function(A,L,_,k,M,g){if(this.gridCount[A]){var P=x(f);P[L]=_[1][L]-_[0][L],this.shader.uniforms.minorAxis=P;var T=b(d,k);T[L]+=_[0][L],this.shader.uniforms.offset=T;var z=x(c);z[A]=1,this.shader.uniforms.majorAxis=z;var O=x(h);O[A]=1,this.shader.uniforms.screenAxis=O,this.shader.uniforms.lineWidth=g,this.shader.uniforms.color=M,this.vao.draw(this.gl.TRIANGLES,this.gridCount[A],this.gridOffset[A])}},C.drawZero=function(A,L,_,k,M,g){var P=x(f);this.shader.uniforms.majorAxis=P,P[A]=_[1][A]-_[0][A],this.shader.uniforms.minorAxis=P;var T=b(d,k);T[A]+=_[0][A],this.shader.uniforms.offset=T;var z=x(h);z[L]=1,this.shader.uniforms.screenAxis=z,this.shader.uniforms.lineWidth=g,this.shader.uniforms.color=M,this.vao.draw(this.gl.TRIANGLES,6)},C.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()};function E(A,L,_){var k=[],M=[0,0,0],g=[0,0,0],P=[0,0,0],T=[0,0,0];k.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var z=0;z<3;++z){for(var G=k.length/3|0,O=0;O<_[z].length;++O){var V=+_[z][O].x;k.push(V,0,1,V,1,1,V,0,-1,V,0,-1,V,1,1,V,1,-1)}var H=k.length/3|0;M[z]=G,g[z]=H-G;for(var G=k.length/3|0,Z=0;Z<_[z].length;++Z){var V=+_[z][Z].x;k.push(V,0,1,V,1,1,V,0,-1,V,0,-1,V,1,1,V,1,-1)}var H=k.length/3|0;P[z]=G,T[z]=H-G}var N=s(A,new Float32Array(k)),j=l(A,[{buffer:N,type:A.FLOAT,size:3,stride:0,offset:0}]),re=u(A);return re.attributes.position.location=0,new p(A,N,j,re,g,M,T,P)}},1879:function(i,a,o){\"use strict\";var s=o(3236),l=o(9405),u=s([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "attribute vec3 position;\n",
       "\n",
       "uniform mat4 model, view, projection;\n",
       "uniform vec3 offset, majorAxis, minorAxis, screenAxis;\n",
       "uniform float lineWidth;\n",
       "uniform vec2 screenShape;\n",
       "\n",
       "vec3 project(vec3 p) {\n",
       "  vec4 pp = projection * (view * (model * vec4(p, 1.0)));\n",
       "  return pp.xyz / max(pp.w, 0.0001);\n",
       "}\n",
       "\n",
       "void 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",
       "`]),c=s([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "uniform vec4 color;\n",
       "void main() {\n",
       "  gl_FragColor = color;\n",
       "}`]);a.n=function(x){return l(x,u,c,null,[{name:\"position\",type:\"vec3\"}])};var f=s([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "attribute vec3 position;\n",
       "\n",
       "uniform mat4 model, view, projection;\n",
       "uniform vec3 offset, axis, alignDir, alignOpt;\n",
       "uniform float scale, angle, pixelScale;\n",
       "uniform vec2 resolution;\n",
       "\n",
       "vec3 project(vec3 p) {\n",
       "  vec4 pp = projection * (view * (model * vec4(p, 1.0)));\n",
       "  return pp.xyz / max(pp.w, 0.0001);\n",
       "}\n",
       "\n",
       "float 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",
       "\n",
       "const float PI = 3.141592;\n",
       "const float TWO_PI = 2.0 * PI;\n",
       "const float HALF_PI = 0.5 * PI;\n",
       "const float ONE_AND_HALF_PI = 1.5 * PI;\n",
       "\n",
       "int option = int(floor(alignOpt.x + 0.001));\n",
       "float hv_ratio =       alignOpt.y;\n",
       "bool enableAlign =    (alignOpt.z != 0.0);\n",
       "\n",
       "float mod_angle(float a) {\n",
       "  return mod(a, PI);\n",
       "}\n",
       "\n",
       "float positive_angle(float a) {\n",
       "  return mod_angle((a < 0.0) ?\n",
       "    a + TWO_PI :\n",
       "    a\n",
       "  );\n",
       "}\n",
       "\n",
       "float 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",
       "\n",
       "float 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",
       "\n",
       "float roundTo(float a, float b) {\n",
       "  return float(b * floor((a + 0.5 * b) / b));\n",
       "}\n",
       "\n",
       "float 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",
       "\n",
       "float 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",
       "\n",
       "bool isAxisTitle = (axis.x == 0.0) &&\n",
       "                   (axis.y == 0.0) &&\n",
       "                   (axis.z == 0.0);\n",
       "\n",
       "void 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",
       "`]),h=s([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "uniform vec4 color;\n",
       "void main() {\n",
       "  gl_FragColor = color;\n",
       "}`]);a.Q=function(x){return l(x,f,h,null,[{name:\"position\",type:\"vec3\"}])};var d=s([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "attribute vec3 position;\n",
       "attribute vec3 normal;\n",
       "\n",
       "uniform mat4 model, view, projection;\n",
       "uniform vec3 enable;\n",
       "uniform vec3 bounds[2];\n",
       "\n",
       "varying vec3 colorChannel;\n",
       "\n",
       "void 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",
       "`]),v=s([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "uniform vec4 colors[3];\n",
       "\n",
       "varying vec3 colorChannel;\n",
       "\n",
       "void main() {\n",
       "  gl_FragColor = colorChannel.x * colors[0] +\n",
       "                 colorChannel.y * colors[1] +\n",
       "                 colorChannel.z * colors[2];\n",
       "}`]);a.bg=function(x){return l(x,d,v,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},4935:function(i,a,o){\"use strict\";i.exports=C;var s=o(2762),l=o(8116),u=o(4359),c=o(1879).Q,f=window||process.global||{},h=f.__TEXT_CACHE||{};f.__TEXT_CACHE={};var d=3;function v(E,A,L,_){this.gl=E,this.shader=A,this.buffer=L,this.vao=_,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var x=v.prototype,b=[0,0];x.bind=function(E,A,L,_){this.vao.bind(),this.shader.bind();var k=this.shader.uniforms;k.model=E,k.view=A,k.projection=L,k.pixelScale=_,b[0]=this.gl.drawingBufferWidth,b[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=b},x.unbind=function(){this.vao.unbind()},x.update=function(E,A,L,_,k){var M=[];function g(j,re,oe,_e,Me,ke){var me=[oe.style,oe.weight,oe.variant,oe.family].join(\"_\"),ie=h[me];ie||(ie=h[me]={});var Se=ie[re];Se||(Se=ie[re]=p(re,{triangles:!0,font:oe.family,fontStyle:oe.style,fontWeight:oe.weight,fontVariant:oe.variant,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:Me,styletags:ke}));for(var Le=(_e||12)/12,Ae=Se.positions,De=Se.cells,Pe=0,ge=De.length;Pe<ge;++Pe)for(var Fe=De[Pe],ce=2;ce>=0;--ce){var Ze=Ae[Fe[ce]];M.push(Le*Ze[0],-Le*Ze[1],j)}}for(var P=[0,0,0],T=[0,0,0],z=[0,0,0],O=[0,0,0],V=1.25,G={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},Z=0;Z<3;++Z){z[Z]=M.length/d|0,g(.5*(E[0][Z]+E[1][Z]),A[Z],L[Z],12,V,G),O[Z]=(M.length/d|0)-z[Z],P[Z]=M.length/d|0;for(var H=0;H<_[Z].length;++H)if(_[Z][H].text){var N={family:_[Z][H].font||k[Z].family,style:k[Z].fontStyle||k[Z].style,weight:k[Z].fontWeight||k[Z].weight,variant:k[Z].fontVariant||k[Z].variant};g(_[Z][H].x,_[Z][H].text,N,_[Z][H].fontSize||12,V,G)}T[Z]=(M.length/d|0)-P[Z]}this.buffer.update(M),this.tickOffset=P,this.tickCount=T,this.labelOffset=z,this.labelCount=O},x.drawTicks=function(E,A,L,_,k,M,g,P){this.tickCount[E]&&(this.shader.uniforms.axis=M,this.shader.uniforms.color=k,this.shader.uniforms.angle=L,this.shader.uniforms.scale=A,this.shader.uniforms.offset=_,this.shader.uniforms.alignDir=g,this.shader.uniforms.alignOpt=P,this.vao.draw(this.gl.TRIANGLES,this.tickCount[E],this.tickOffset[E]))},x.drawLabel=function(E,A,L,_,k,M,g,P){this.labelCount[E]&&(this.shader.uniforms.axis=M,this.shader.uniforms.color=k,this.shader.uniforms.angle=L,this.shader.uniforms.scale=A,this.shader.uniforms.offset=_,this.shader.uniforms.alignDir=g,this.shader.uniforms.alignOpt=P,this.vao.draw(this.gl.TRIANGLES,this.labelCount[E],this.labelOffset[E]))},x.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()};function p(E,A){try{return u(E,A)}catch(L){return console.warn('error vectorizing text:\"'+E+'\" error:',L),{cells:[],positions:[]}}}function C(E,A,L,_,k,M){var g=s(E),P=l(E,[{buffer:g,size:3}]),T=c(E);T.attributes.position.location=0;var z=new v(E,T,g,P);return z.update(A,L,_,k,M),z}},6444:function(i,a){\"use strict\";a.create=s,a.equal=l;function o(u,c){var f=u+\"\",h=f.indexOf(\".\"),d=0;h>=0&&(d=f.length-h-1);var v=Math.pow(10,d),x=Math.round(u*c*v),b=x+\"\";if(b.indexOf(\"e\")>=0)return b;var p=x/v,C=x%v;x<0?(p=-Math.ceil(p)|0,C=-C|0):(p=Math.floor(p)|0,C=C|0);var E=\"\"+p;if(x<0&&(E=\"-\"+E),d){for(var A=\"\"+C;A.length<d;)A=\"0\"+A;return E+\".\"+A}else return E}function s(u,c){for(var f=[],h=0;h<3;++h){for(var d=[],v=.5*(u[0][h]+u[1][h]),x=0;x*c[h]<=u[1][h];++x)d.push({x:x*c[h],text:o(c[h],x)});for(var x=-1;x*c[h]>=u[0][h];--x)d.push({x:x*c[h],text:o(c[h],x)});f.push(d)}return f}function l(u,c){for(var f=0;f<3;++f){if(u[f].length!==c[f].length)return!1;for(var h=0;h<u[f].length;++h){var d=u[f][h],v=c[f][h];if(d.x!==v.x||d.text!==v.text||d.font!==v.font||d.fontColor!==v.fontColor||d.fontSize!==v.fontSize||d.dx!==v.dx||d.dy!==v.dy)return!1}}return!0}},5445:function(i,a,o){\"use strict\";i.exports=L;var s=o(5033),l=o(5202),u=o(6429),c=o(6760),f=o(5665),h=o(5352),d=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),v=new Float32Array(16);function x(_,k,M){this.lo=_,this.hi=k,this.pixelsPerDataUnit=M}var b=[0,0,0,1],p=[0,0,0,1];function C(_,k,M,g,P){for(var T=0;T<3;++T){for(var z=b,O=p,V=0;V<3;++V)O[V]=z[V]=M[V];O[3]=z[3]=1,O[T]+=1,h(O,O,k),O[3]<0&&(_[T]=1/0),z[T]-=1,h(z,z,k),z[3]<0&&(_[T]=1/0);var G=(z[0]/z[3]-O[0]/O[3])*g,Z=(z[1]/z[3]-O[1]/O[3])*P;_[T]=.25*Math.sqrt(G*G+Z*Z)}return _}var E=[new x(1/0,-1/0,1/0),new x(1/0,-1/0,1/0),new x(1/0,-1/0,1/0)],A=[0,0,0];function L(_,k,M,g,Z){var T=k.model||d,z=k.view||d,O=k.projection||d,V=k._ortho||!1,G=_.bounds,Z=Z||u(T,z,O,G,V),H=Z.axis;c(v,z,T),c(v,O,v);for(var N=E,j=0;j<3;++j)N[j].lo=1/0,N[j].hi=-1/0,N[j].pixelsPerDataUnit=1/0;var re=s(f(v,v));f(v,v);for(var oe=0;oe<3;++oe){var _e=(oe+1)%3,Me=(oe+2)%3,ke=A;e:for(var j=0;j<2;++j){var me=[];if(H[oe]<0!=!!j){ke[oe]=G[j][oe];for(var ie=0;ie<2;++ie){ke[_e]=G[ie^j][_e];for(var Se=0;Se<2;++Se)ke[Me]=G[Se^ie^j][Me],me.push(ke.slice())}for(var Le=V?5:4,ie=Le;ie===Le;++ie){if(me.length===0)continue e;me=l.positive(me,re[ie])}for(var ie=0;ie<me.length;++ie)for(var Me=me[ie],Ae=C(A,v,Me,M,g),Se=0;Se<3;++Se)N[Se].lo=Math.min(N[Se].lo,Me[Se]),N[Se].hi=Math.max(N[Se].hi,Me[Se]),Se!==oe&&(N[Se].pixelsPerDataUnit=Math.min(N[Se].pixelsPerDataUnit,Math.abs(Ae[Se])))}}}return N}},2762:function(i,a,o){\"use strict\";var s=o(1888),l=o(5298),u=o(9618),c=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function f(p,C,E,A,L){this.gl=p,this.type=C,this.handle=E,this.length=A,this.usage=L}var h=f.prototype;h.bind=function(){this.gl.bindBuffer(this.type,this.handle)},h.unbind=function(){this.gl.bindBuffer(this.type,null)},h.dispose=function(){this.gl.deleteBuffer(this.handle)};function d(p,C,E,A,L,_){var k=L.length*L.BYTES_PER_ELEMENT;if(_<0)return p.bufferData(C,L,A),k;if(k+_>E)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return p.bufferSubData(C,_,L),E}function v(p,C){for(var E=s.malloc(p.length,C),A=p.length,L=0;L<A;++L)E[L]=p[L];return E}function x(p,C){for(var E=1,A=C.length-1;A>=0;--A){if(C[A]!==E)return!1;E*=p[A]}return!0}h.update=function(p,C){if(typeof C!=\"number\"&&(C=-1),this.bind(),typeof p==\"object\"&&typeof p.shape!=\"undefined\"){var E=p.dtype;if(c.indexOf(E)<0&&(E=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER){var A=gl.getExtension(\"OES_element_index_uint\");A&&E!==\"uint16\"?E=\"uint32\":E=\"uint16\"}if(E===p.dtype&&x(p.shape,p.stride))p.offset===0&&p.data.length===p.shape[0]?this.length=d(this.gl,this.type,this.length,this.usage,p.data,C):this.length=d(this.gl,this.type,this.length,this.usage,p.data.subarray(p.offset,p.shape[0]),C);else{var L=s.malloc(p.size,E),_=u(L,p.shape);l.assign(_,p),C<0?this.length=d(this.gl,this.type,this.length,this.usage,L,C):this.length=d(this.gl,this.type,this.length,this.usage,L.subarray(0,p.size),C),s.free(L)}}else if(Array.isArray(p)){var k;this.type===this.gl.ELEMENT_ARRAY_BUFFER?k=v(p,\"uint16\"):k=v(p,\"float32\"),C<0?this.length=d(this.gl,this.type,this.length,this.usage,k,C):this.length=d(this.gl,this.type,this.length,this.usage,k.subarray(0,p.length),C),s.free(k)}else if(typeof p==\"object\"&&typeof p.length==\"number\")this.length=d(this.gl,this.type,this.length,this.usage,p,C);else if(typeof p==\"number\"||p===void 0){if(C>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");p=p|0,p<=0&&(p=1),this.gl.bufferData(this.type,p|0,this.usage),this.length=p}else throw new Error(\"gl-buffer: Invalid data type\")};function b(p,C,E,A){if(E=E||p.ARRAY_BUFFER,A=A||p.DYNAMIC_DRAW,E!==p.ARRAY_BUFFER&&E!==p.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(A!==p.DYNAMIC_DRAW&&A!==p.STATIC_DRAW&&A!==p.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 L=p.createBuffer(),_=new f(p,E,L,0,A);return _.update(C),_}i.exports=b},6405:function(i,a,o){\"use strict\";var s=o(2931);i.exports=function(u,c){var f=u.positions,h=u.vectors,d={positions:[],vertexIntensity:[],vertexIntensityBounds:u.vertexIntensityBounds,vectors:[],cells:[],coneOffset:u.coneOffset,colormap:u.colormap};if(u.positions.length===0)return c&&(c[0]=[0,0,0],c[1]=[0,0,0]),d;for(var v=0,x=1/0,b=-1/0,p=1/0,C=-1/0,E=1/0,A=-1/0,L=null,_=null,k=[],M=1/0,g=!1,P=u.coneSizemode===\"raw\",T=0;T<f.length;T++){var z=f[T];x=Math.min(z[0],x),b=Math.max(z[0],b),p=Math.min(z[1],p),C=Math.max(z[1],C),E=Math.min(z[2],E),A=Math.max(z[2],A);var O=h[T];if(s.length(O)>v&&(v=s.length(O)),T&&!P){var V=2*s.distance(L,z)/(s.length(_)+s.length(O));V?(M=Math.min(M,V),g=!1):g=!0}g||(L=z,_=O),k.push(O)}var G=[x,p,E],Z=[b,C,A];c&&(c[0]=G,c[1]=Z),v===0&&(v=1);var H=1/v;isFinite(M)||(M=1),d.vectorScale=M;var N=u.coneSize||(P?1:.5);u.absoluteConeSize&&(N=u.absoluteConeSize*H),d.coneScale=N;for(var T=0,j=0;T<f.length;T++)for(var z=f[T],re=z[0],oe=z[1],_e=z[2],Me=k[T],ke=s.length(Me)*H,me=0,ie=8;me<ie;me++){d.positions.push([re,oe,_e,j++]),d.positions.push([re,oe,_e,j++]),d.positions.push([re,oe,_e,j++]),d.positions.push([re,oe,_e,j++]),d.positions.push([re,oe,_e,j++]),d.positions.push([re,oe,_e,j++]),d.vectors.push(Me),d.vectors.push(Me),d.vectors.push(Me),d.vectors.push(Me),d.vectors.push(Me),d.vectors.push(Me),d.vertexIntensity.push(ke,ke,ke),d.vertexIntensity.push(ke,ke,ke);var Se=d.positions.length;d.cells.push([Se-6,Se-5,Se-4],[Se-3,Se-2,Se-1])}return d};var l=o(614);i.exports.createMesh=o(9060),i.exports.createConeMesh=function(u,c){return i.exports.createMesh(u,c,{shaders:l,traceType:\"cone\"})}},9060:function(i,a,o){\"use strict\";var s=o(9405),l=o(2762),u=o(8116),c=o(7766),f=o(6760),h=o(7608),d=o(9618),v=o(6729),x=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function b(k,M,g,P,T,z,O,V,G,Z,H){this.gl=k,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=M,this.dirty=!0,this.triShader=g,this.pickShader=P,this.trianglePositions=T,this.triangleVectors=z,this.triangleColors=V,this.triangleUVs=G,this.triangleIds=O,this.triangleVAO=Z,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=H,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=x,this._view=x,this._projection=x,this._resolution=[1,1]}var p=b.prototype;p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(k){this.pickId=k};function C(k){for(var M=v({colormap:k,nshades:256,format:\"rgba\"}),g=new Uint8Array(256*4),P=0;P<256;++P){for(var T=M[P],z=0;z<3;++z)g[4*P+z]=T[z];g[4*P+3]=T[3]*255}return d(g,[256,256,4],[4,0,1])}function E(k){for(var M=k.length,g=new Array(M),P=0;P<M;++P)g[P]=k[P][2];return g}p.update=function(k){k=k||{};var M=this.gl;this.dirty=!0,\"lightPosition\"in k&&(this.lightPosition=k.lightPosition),\"opacity\"in k&&(this.opacity=k.opacity),\"ambient\"in k&&(this.ambientLight=k.ambient),\"diffuse\"in k&&(this.diffuseLight=k.diffuse),\"specular\"in k&&(this.specularLight=k.specular),\"roughness\"in k&&(this.roughness=k.roughness),\"fresnel\"in k&&(this.fresnel=k.fresnel),k.tubeScale!==void 0&&(this.tubeScale=k.tubeScale),k.vectorScale!==void 0&&(this.vectorScale=k.vectorScale),k.coneScale!==void 0&&(this.coneScale=k.coneScale),k.coneOffset!==void 0&&(this.coneOffset=k.coneOffset),k.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=M.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=M.LINEAR,this.texture.setPixels(C(k.colormap)),this.texture.generateMipmap());var g=k.cells,P=k.positions,T=k.vectors;if(!(!P||!g||!T)){var z=[],O=[],V=[],G=[],Z=[];this.cells=g,this.positions=P,this.vectors=T;var H=k.meshColor||[1,1,1,1],N=k.vertexIntensity,j=1/0,re=-1/0;if(N)if(k.vertexIntensityBounds)j=+k.vertexIntensityBounds[0],re=+k.vertexIntensityBounds[1];else for(var oe=0;oe<N.length;++oe){var _e=N[oe];j=Math.min(j,_e),re=Math.max(re,_e)}else for(var oe=0;oe<P.length;++oe){var _e=P[oe][2];j=Math.min(j,_e),re=Math.max(re,_e)}N?this.intensity=N:this.intensity=E(P),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(var oe=0;oe<P.length;++oe)for(var Me=P[oe],ke=0;ke<3;++ke)isNaN(Me[ke])||!isFinite(Me[ke])||(this.bounds[0][ke]=Math.min(this.bounds[0][ke],Me[ke]),this.bounds[1][ke]=Math.max(this.bounds[1][ke],Me[ke]));var me=0;e:for(var oe=0;oe<g.length;++oe){var ie=g[oe];switch(ie.length){case 3:for(var ke=0;ke<3;++ke)for(var Se=ie[ke],Me=P[Se],Le=0;Le<3;++Le)if(isNaN(Me[Le])||!isFinite(Me[Le]))continue e;for(var ke=0;ke<3;++ke){var Se=ie[2-ke],Me=P[Se];z.push(Me[0],Me[1],Me[2],Me[3]);var Ae=T[Se];O.push(Ae[0],Ae[1],Ae[2],Ae[3]||0);var De=H;De.length===3?V.push(De[0],De[1],De[2],1):V.push(De[0],De[1],De[2],De[3]);var Pe;N?Pe=[(N[Se]-j)/(re-j),0]:Pe=[(Me[2]-j)/(re-j),0],G.push(Pe[0],Pe[1]),Z.push(oe)}me+=1;break;default:break}}this.triangleCount=me,this.trianglePositions.update(z),this.triangleVectors.update(O),this.triangleColors.update(V),this.triangleUVs.update(G),this.triangleIds.update(new Uint32Array(Z))}},p.drawTransparent=p.draw=function(k){k=k||{};for(var M=this.gl,g=k.model||x,P=k.view||x,T=k.projection||x,z=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],O=0;O<3;++O)z[0][O]=Math.max(z[0][O],this.clipBounds[0][O]),z[1][O]=Math.min(z[1][O],this.clipBounds[1][O]);var V={model:g,view:P,projection:T,inverseModel:x.slice(),clipBounds:z,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};V.inverseModel=h(V.inverseModel,V.model),M.disable(M.CULL_FACE),this.texture.bind(0);var G=new Array(16);f(G,V.view,V.model),f(G,V.projection,G),h(G,G);for(var O=0;O<3;++O)V.eyePosition[O]=G[12+O]/G[15];for(var Z=G[15],O=0;O<3;++O)Z+=this.lightPosition[O]*G[4*O+3];for(var O=0;O<3;++O){for(var H=G[12+O],N=0;N<3;++N)H+=G[4*N+O]*this.lightPosition[N];V.lightPosition[O]=H/Z}if(this.triangleCount>0){var j=this.triShader;j.bind(),j.uniforms=V,this.triangleVAO.bind(),M.drawArrays(M.TRIANGLES,0,this.triangleCount*3),this.triangleVAO.unbind()}},p.drawPick=function(k){k=k||{};for(var M=this.gl,g=k.model||x,P=k.view||x,T=k.projection||x,z=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],O=0;O<3;++O)z[0][O]=Math.max(z[0][O],this.clipBounds[0][O]),z[1][O]=Math.min(z[1][O],this.clipBounds[1][O]);this._model=[].slice.call(g),this._view=[].slice.call(P),this._projection=[].slice.call(T),this._resolution=[M.drawingBufferWidth,M.drawingBufferHeight];var V={model:g,view:P,projection:T,clipBounds:z,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},G=this.pickShader;G.bind(),G.uniforms=V,this.triangleCount>0&&(this.triangleVAO.bind(),M.drawArrays(M.TRIANGLES,0,this.triangleCount*3),this.triangleVAO.unbind())},p.pick=function(k){if(!k||k.id!==this.pickId)return null;var M=k.value[0]+256*k.value[1]+65536*k.value[2],g=this.cells[M],P=this.positions[g[1]].slice(0,3),T={position:P,dataCoordinate:P,index:Math.floor(g[1]/48)};return this.traceType===\"cone\"?T.index=Math.floor(g[1]/48):this.traceType===\"streamtube\"&&(T.intensity=this.intensity[g[1]],T.velocity=this.vectors[g[1]].slice(0,3),T.divergence=this.vectors[g[1]][3],T.index=M),T},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()};function A(k,M){var g=s(k,M.meshShader.vertex,M.meshShader.fragment,null,M.meshShader.attributes);return g.attributes.position.location=0,g.attributes.color.location=2,g.attributes.uv.location=3,g.attributes.vector.location=4,g}function L(k,M){var g=s(k,M.pickShader.vertex,M.pickShader.fragment,null,M.pickShader.attributes);return g.attributes.position.location=0,g.attributes.id.location=1,g.attributes.vector.location=4,g}function _(k,M,g){var P=g.shaders;arguments.length===1&&(M=k,k=M.gl);var T=A(k,P),z=L(k,P),O=c(k,d(new Uint8Array([255,255,255,255]),[1,1,4]));O.generateMipmap(),O.minFilter=k.LINEAR_MIPMAP_LINEAR,O.magFilter=k.LINEAR;var V=l(k),G=l(k),Z=l(k),H=l(k),N=l(k),j=u(k,[{buffer:V,type:k.FLOAT,size:4},{buffer:N,type:k.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:Z,type:k.FLOAT,size:4},{buffer:H,type:k.FLOAT,size:2},{buffer:G,type:k.FLOAT,size:4}]),re=new b(k,O,T,z,V,G,N,Z,H,j,g.traceType||\"cone\");return re.update(M),re}i.exports=_},614:function(i,a,o){var s=o(3236),l=s([`precision highp float;\n",
       "\n",
       "precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "vec3 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",
       "//\n",
       "vec3 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",
       "\n",
       "attribute vec3 vector;\n",
       "attribute vec4 color, position;\n",
       "attribute vec2 uv;\n",
       "\n",
       "uniform float vectorScale, coneScale, coneOffset;\n",
       "uniform mat4 model, view, projection, inverseModel;\n",
       "uniform vec3 eyePosition, lightPosition;\n",
       "\n",
       "varying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\n",
       "varying vec4 f_color;\n",
       "varying vec2 f_uv;\n",
       "\n",
       "void 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",
       "`]),u=s([`#extension GL_OES_standard_derivatives : enable\n",
       "\n",
       "precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "float 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",
       "\n",
       "float 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",
       "bool outOfRange(float a, float b, float p) {\n",
       "  return ((p > max(a, b)) || \n",
       "          (p < min(a, b)));\n",
       "}\n",
       "\n",
       "bool 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",
       "\n",
       "bool 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",
       "\n",
       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
       "}\n",
       "\n",
       "uniform vec3 clipBounds[2];\n",
       "uniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\n",
       "uniform sampler2D texture;\n",
       "\n",
       "varying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\n",
       "varying vec4 f_color;\n",
       "varying vec2 f_uv;\n",
       "\n",
       "void 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",
       "`]),c=s([`precision highp float;\n",
       "\n",
       "precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "vec3 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",
       "//\n",
       "vec3 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",
       "\n",
       "attribute vec4 vector;\n",
       "attribute vec4 position;\n",
       "attribute vec4 id;\n",
       "\n",
       "uniform mat4 model, view, projection;\n",
       "uniform float vectorScale, coneScale, coneOffset;\n",
       "\n",
       "varying vec3 f_position;\n",
       "varying vec4 f_id;\n",
       "\n",
       "void 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",
       "`]),f=s([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "bool outOfRange(float a, float b, float p) {\n",
       "  return ((p > max(a, b)) || \n",
       "          (p < min(a, b)));\n",
       "}\n",
       "\n",
       "bool 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",
       "\n",
       "bool 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",
       "\n",
       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
       "}\n",
       "\n",
       "uniform vec3  clipBounds[2];\n",
       "uniform float pickId;\n",
       "\n",
       "varying vec3 f_position;\n",
       "varying vec4 f_id;\n",
       "\n",
       "void main() {\n",
       "  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n",
       "\n",
       "  gl_FragColor = vec4(pickId, f_id.xyz);\n",
       "}`]);a.meshShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},a.pickShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},737:function(i){i.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(i,a,o){var s=o(737);i.exports=function(u){return s[u]}},9165:function(i,a,o){\"use strict\";i.exports=b;var s=o(2762),l=o(8116),u=o(3436),c=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(p,C,E,A){this.gl=p,this.shader=A,this.buffer=C,this.vao=E,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var h=f.prototype;h.isOpaque=function(){return!this.hasAlpha},h.isTransparent=function(){return this.hasAlpha},h.drawTransparent=h.draw=function(p){var C=this.gl,E=this.shader.uniforms;this.shader.bind();var A=E.view=p.view||c,L=E.projection=p.projection||c;E.model=p.model||c,E.clipBounds=this.clipBounds,E.opacity=this.opacity;var _=A[12],k=A[13],M=A[14],g=A[15],P=p._ortho||!1,T=P?2:1,z=T*this.pixelRatio*(L[3]*_+L[7]*k+L[11]*M+L[15]*g)/C.drawingBufferHeight;this.vao.bind();for(var O=0;O<3;++O)C.lineWidth(this.lineWidth[O]*this.pixelRatio),E.capSize=this.capSize[O]*z,this.lineCount[O]&&C.drawArrays(C.LINES,this.lineOffset[O],this.lineCount[O]);this.vao.unbind()};function d(p,C){for(var E=0;E<3;++E)p[0][E]=Math.min(p[0][E],C[E]),p[1][E]=Math.max(p[1][E],C[E])}var v=function(){for(var p=new Array(3),C=0;C<3;++C){for(var E=[],A=1;A<=2;++A)for(var L=-1;L<=1;L+=2){var _=(A+C)%3,k=[0,0,0];k[_]=L,E.push(k)}p[C]=E}return p}();function x(p,C,E,A){for(var L=v[A],_=0;_<L.length;++_){var k=L[_];p.push(C[0],C[1],C[2],E[0],E[1],E[2],E[3],k[0],k[1],k[2])}return L.length}h.update=function(p){p=p||{},\"lineWidth\"in p&&(this.lineWidth=p.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),\"capSize\"in p&&(this.capSize=p.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,\"opacity\"in p&&(this.opacity=+p.opacity,this.opacity<1&&(this.hasAlpha=!0));var C=p.color||[[0,0,0],[0,0,0],[0,0,0]],E=p.position,A=p.error;if(Array.isArray(C[0])||(C=[C,C,C]),E&&A){var L=[],_=E.length,k=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var M=0;M<3;++M){this.lineOffset[M]=k;e:for(var g=0;g<_;++g){for(var P=E[g],T=0;T<3;++T)if(isNaN(P[T])||!isFinite(P[T]))continue e;var z=A[g],O=C[M];if(Array.isArray(O[0])&&(O=C[g]),O.length===3?O=[O[0],O[1],O[2],1]:O.length===4&&(O=[O[0],O[1],O[2],O[3]],!this.hasAlpha&&O[3]<1&&(this.hasAlpha=!0)),!(isNaN(z[0][M])||isNaN(z[1][M]))){if(z[0][M]<0){var V=P.slice();V[M]+=z[0][M],L.push(P[0],P[1],P[2],O[0],O[1],O[2],O[3],0,0,0,V[0],V[1],V[2],O[0],O[1],O[2],O[3],0,0,0),d(this.bounds,V),k+=2+x(L,V,O,M)}if(z[1][M]>0){var V=P.slice();V[M]+=z[1][M],L.push(P[0],P[1],P[2],O[0],O[1],O[2],O[3],0,0,0,V[0],V[1],V[2],O[0],O[1],O[2],O[3],0,0,0),d(this.bounds,V),k+=2+x(L,V,O,M)}}}this.lineCount[M]=k-this.lineOffset[M]}this.buffer.update(L)}},h.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()};function b(p){var C=p.gl,E=s(C),A=l(C,[{buffer:E,type:C.FLOAT,size:3,offset:0,stride:40},{buffer:E,type:C.FLOAT,size:4,offset:12,stride:40},{buffer:E,type:C.FLOAT,size:3,offset:28,stride:40}]),L=u(C);L.attributes.position.location=0,L.attributes.color.location=1,L.attributes.offset.location=2;var _=new f(C,E,A,L);return _.update(p),_}},3436:function(i,a,o){\"use strict\";var s=o(3236),l=o(9405),u=s([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "attribute vec3 position, offset;\n",
       "attribute vec4 color;\n",
       "uniform mat4 model, view, projection;\n",
       "uniform float capSize;\n",
       "varying vec4 fragColor;\n",
       "varying vec3 fragPosition;\n",
       "\n",
       "void main() {\n",
       "  vec4 worldPosition  = model * vec4(position, 1.0);\n",
       "  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n",
       "  gl_Position         = projection * (view * worldPosition);\n",
       "  fragColor           = color;\n",
       "  fragPosition        = position;\n",
       "}`]),c=s([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "bool outOfRange(float a, float b, float p) {\n",
       "  return ((p > max(a, b)) || \n",
       "          (p < min(a, b)));\n",
       "}\n",
       "\n",
       "bool 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",
       "\n",
       "bool 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",
       "\n",
       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
       "}\n",
       "\n",
       "uniform vec3 clipBounds[2];\n",
       "uniform float opacity;\n",
       "varying vec3 fragPosition;\n",
       "varying vec4 fragColor;\n",
       "\n",
       "void main() {\n",
       "  if (\n",
       "    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\n",
       "    fragColor.a * opacity == 0.\n",
       "  ) discard;\n",
       "\n",
       "  gl_FragColor = opacity * fragColor;\n",
       "}`]);i.exports=function(f){return l(f,u,c,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},2260:function(i,a,o){\"use strict\";var s=o(7766);i.exports=k;var l=null,u,c,f,h;function d(M){var g=M.getParameter(M.FRAMEBUFFER_BINDING),P=M.getParameter(M.RENDERBUFFER_BINDING),T=M.getParameter(M.TEXTURE_BINDING_2D);return[g,P,T]}function v(M,g){M.bindFramebuffer(M.FRAMEBUFFER,g[0]),M.bindRenderbuffer(M.RENDERBUFFER,g[1]),M.bindTexture(M.TEXTURE_2D,g[2])}function x(M,g){var P=M.getParameter(g.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(P+1);for(var T=0;T<=P;++T){for(var z=new Array(P),O=0;O<T;++O)z[O]=M.COLOR_ATTACHMENT0+O;for(var O=T;O<P;++O)z[O]=M.NONE;l[T]=z}}function b(M){switch(M){case u:throw new Error(\"gl-fbo: Framebuffer unsupported\");case c:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case f:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case h:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function p(M,g,P,T,z,O){if(!T)return null;var V=s(M,g,P,z,T);return V.magFilter=M.NEAREST,V.minFilter=M.NEAREST,V.mipSamples=1,V.bind(),M.framebufferTexture2D(M.FRAMEBUFFER,O,M.TEXTURE_2D,V.handle,0),V}function C(M,g,P,T,z){var O=M.createRenderbuffer();return M.bindRenderbuffer(M.RENDERBUFFER,O),M.renderbufferStorage(M.RENDERBUFFER,T,g,P),M.framebufferRenderbuffer(M.FRAMEBUFFER,z,M.RENDERBUFFER,O),O}function E(M){var g=d(M.gl),P=M.gl,T=M.handle=P.createFramebuffer(),z=M._shape[0],O=M._shape[1],V=M.color.length,G=M._ext,Z=M._useStencil,H=M._useDepth,N=M._colorType;P.bindFramebuffer(P.FRAMEBUFFER,T);for(var j=0;j<V;++j)M.color[j]=p(P,z,O,N,P.RGBA,P.COLOR_ATTACHMENT0+j);V===0?(M._color_rb=C(P,z,O,P.RGBA4,P.COLOR_ATTACHMENT0),G&&G.drawBuffersWEBGL(l[0])):V>1&&G.drawBuffersWEBGL(l[V]);var re=P.getExtension(\"WEBGL_depth_texture\");re?Z?M.depth=p(P,z,O,re.UNSIGNED_INT_24_8_WEBGL,P.DEPTH_STENCIL,P.DEPTH_STENCIL_ATTACHMENT):H&&(M.depth=p(P,z,O,P.UNSIGNED_SHORT,P.DEPTH_COMPONENT,P.DEPTH_ATTACHMENT)):H&&Z?M._depth_rb=C(P,z,O,P.DEPTH_STENCIL,P.DEPTH_STENCIL_ATTACHMENT):H?M._depth_rb=C(P,z,O,P.DEPTH_COMPONENT16,P.DEPTH_ATTACHMENT):Z&&(M._depth_rb=C(P,z,O,P.STENCIL_INDEX,P.STENCIL_ATTACHMENT));var oe=P.checkFramebufferStatus(P.FRAMEBUFFER);if(oe!==P.FRAMEBUFFER_COMPLETE){M._destroyed=!0,P.bindFramebuffer(P.FRAMEBUFFER,null),P.deleteFramebuffer(M.handle),M.handle=null,M.depth&&(M.depth.dispose(),M.depth=null),M._depth_rb&&(P.deleteRenderbuffer(M._depth_rb),M._depth_rb=null);for(var j=0;j<M.color.length;++j)M.color[j].dispose(),M.color[j]=null;M._color_rb&&(P.deleteRenderbuffer(M._color_rb),M._color_rb=null),v(P,g),b(oe)}v(P,g)}function A(M,g,P,T,z,O,V,G){this.gl=M,this._shape=[g|0,P|0],this._destroyed=!1,this._ext=G,this.color=new Array(z);for(var Z=0;Z<z;++Z)this.color[Z]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=T,this._useDepth=O,this._useStencil=V;var H=this,N=[g|0,P|0];Object.defineProperties(N,{0:{get:function(){return H._shape[0]},set:function(j){return H.width=j}},1:{get:function(){return H._shape[1]},set:function(j){return H.height=j}}}),this._shapeVector=N,E(this)}var L=A.prototype;function _(M,g,P){if(M._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(!(M._shape[0]===g&&M._shape[1]===P)){var T=M.gl,z=T.getParameter(T.MAX_RENDERBUFFER_SIZE);if(g<0||g>z||P<0||P>z)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");M._shape[0]=g,M._shape[1]=P;for(var O=d(T),V=0;V<M.color.length;++V)M.color[V].shape=M._shape;M._color_rb&&(T.bindRenderbuffer(T.RENDERBUFFER,M._color_rb),T.renderbufferStorage(T.RENDERBUFFER,T.RGBA4,M._shape[0],M._shape[1])),M.depth&&(M.depth.shape=M._shape),M._depth_rb&&(T.bindRenderbuffer(T.RENDERBUFFER,M._depth_rb),M._useDepth&&M._useStencil?T.renderbufferStorage(T.RENDERBUFFER,T.DEPTH_STENCIL,M._shape[0],M._shape[1]):M._useDepth?T.renderbufferStorage(T.RENDERBUFFER,T.DEPTH_COMPONENT16,M._shape[0],M._shape[1]):M._useStencil&&T.renderbufferStorage(T.RENDERBUFFER,T.STENCIL_INDEX,M._shape[0],M._shape[1])),T.bindFramebuffer(T.FRAMEBUFFER,M.handle);var G=T.checkFramebufferStatus(T.FRAMEBUFFER);G!==T.FRAMEBUFFER_COMPLETE&&(M.dispose(),v(T,O),b(G)),v(T,O)}}Object.defineProperties(L,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(M){if(Array.isArray(M)||(M=[M|0,M|0]),M.length!==2)throw new Error(\"gl-fbo: Shape vector must be length 2\");var g=M[0]|0,P=M[1]|0;return _(this,g,P),[g,P]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(M){return M=M|0,_(this,M,this._shape[1]),M},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(M){return M=M|0,_(this,this._shape[0],M),M},enumerable:!1}}),L.bind=function(){if(!this._destroyed){var M=this.gl;M.bindFramebuffer(M.FRAMEBUFFER,this.handle),M.viewport(0,0,this._shape[0],this._shape[1])}},L.dispose=function(){if(!this._destroyed){this._destroyed=!0;var M=this.gl;M.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(M.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var g=0;g<this.color.length;++g)this.color[g].dispose(),this.color[g]=null;this._color_rb&&(M.deleteRenderbuffer(this._color_rb),this._color_rb=null)}};function k(M,g,P,T){u||(u=M.FRAMEBUFFER_UNSUPPORTED,c=M.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,f=M.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,h=M.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var z=M.getExtension(\"WEBGL_draw_buffers\");if(!l&&z&&x(M,z),Array.isArray(g)&&(T=P,P=g[1]|0,g=g[0]|0),typeof g!=\"number\")throw new Error(\"gl-fbo: Missing shape parameter\");var O=M.getParameter(M.MAX_RENDERBUFFER_SIZE);if(g<0||g>O||P<0||P>O)throw new Error(\"gl-fbo: Parameters are too large for FBO\");T=T||{};var V=1;if(\"color\"in T){if(V=Math.max(T.color|0,0),V<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(V>1)if(z){if(V>M.getParameter(z.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+V+\" draw buffers\")}else throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\")}var G=M.UNSIGNED_BYTE,Z=M.getExtension(\"OES_texture_float\");if(T.float&&V>0){if(!Z)throw new Error(\"gl-fbo: Context does not support floating point textures\");G=M.FLOAT}else T.preferFloat&&V>0&&Z&&(G=M.FLOAT);var H=!0;\"depth\"in T&&(H=!!T.depth);var N=!1;return\"stencil\"in T&&(N=!!T.stencil),new A(M,g,P,G,V,H,N,z)}},2992:function(i,a,o){var s=o(3387).sprintf,l=o(5171),u=o(1848),c=o(1085);i.exports=f;function f(h,d,v){\"use strict\";var x=u(d)||\"of unknown name (see npm glsl-shader-name)\",b=\"unknown type\";v!==void 0&&(b=v===l.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var p=s(`Error compiling %s shader %s:\n",
       "`,b,x),C=s(\"%s%s\",p,h),E=h.split(`\n",
       "`),A={},L=0;L<E.length;L++){var _=E[L];if(!(_===\"\"||_===\"\\0\")){var k=parseInt(_.split(\":\")[2]);if(isNaN(k))throw new Error(s(\"Could not parse error: %s\",_));A[k]=_}}for(var M=c(d).split(`\n",
       "`),L=0;L<M.length;L++)if(!(!A[L+3]&&!A[L+2]&&!A[L+1])){var g=M[L];if(p+=g+`\n",
       "`,A[L+1]){var P=A[L+1];P=P.substr(P.split(\":\",3).join(\":\").length+1).trim(),p+=s(`^^^ %s\n",
       "\n",
       "`,P)}}return{long:p.trim(),short:C.trim()}}},7319:function(i,a,o){var s=o(3236),l=o(9405),u=s([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "attribute vec3 position, nextPosition;\n",
       "attribute float arcLength, lineWidth;\n",
       "attribute vec4 color;\n",
       "\n",
       "uniform vec2 screenShape;\n",
       "uniform float pixelRatio;\n",
       "uniform mat4 model, view, projection;\n",
       "\n",
       "varying vec4 fragColor;\n",
       "varying vec3 worldPosition;\n",
       "varying float pixelArcLength;\n",
       "\n",
       "vec4 project(vec3 p) {\n",
       "  return projection * (view * (model * vec4(p, 1.0)));\n",
       "}\n",
       "\n",
       "void 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",
       "`]),c=s([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "bool outOfRange(float a, float b, float p) {\n",
       "  return ((p > max(a, b)) || \n",
       "          (p < min(a, b)));\n",
       "}\n",
       "\n",
       "bool 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",
       "\n",
       "bool 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",
       "\n",
       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
       "}\n",
       "\n",
       "uniform vec3      clipBounds[2];\n",
       "uniform sampler2D dashTexture;\n",
       "uniform float     dashScale;\n",
       "uniform float     opacity;\n",
       "\n",
       "varying vec3    worldPosition;\n",
       "varying float   pixelArcLength;\n",
       "varying vec4    fragColor;\n",
       "\n",
       "void 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",
       "`]),f=s([`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\n",
       "vec4 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",
       "\n",
       "bool outOfRange(float a, float b, float p) {\n",
       "  return ((p > max(a, b)) || \n",
       "          (p < min(a, b)));\n",
       "}\n",
       "\n",
       "bool 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",
       "\n",
       "bool 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",
       "\n",
       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
       "}\n",
       "\n",
       "uniform float pickId;\n",
       "uniform vec3 clipBounds[2];\n",
       "\n",
       "varying vec3 worldPosition;\n",
       "varying float pixelArcLength;\n",
       "varying vec4 fragColor;\n",
       "\n",
       "void main() {\n",
       "  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\n",
       "\n",
       "  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\n",
       "}`]),h=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];a.createShader=function(d){return l(d,u,c,null,h)},a.createPickShader=function(d){return l(d,u,f,null,h)}},5714:function(i,a,o){\"use strict\";i.exports=M;var s=o(2762),l=o(8116),u=o(7766),c=new Uint8Array(4),f=new Float32Array(c.buffer);function h(g,P,T,z){return c[0]=z,c[1]=T,c[2]=P,c[3]=g,f[0]}var d=o(2478),v=o(9618),x=o(7319),b=x.createShader,p=x.createPickShader,C=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function E(g,P){for(var T=0,z=0;z<3;++z){var O=g[z]-P[z];T+=O*O}return Math.sqrt(T)}function A(g){for(var P=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],T=0;T<3;++T)P[0][T]=Math.max(g[0][T],P[0][T]),P[1][T]=Math.min(g[1][T],P[1][T]);return P}function L(g,P,T,z){this.arcLength=g,this.position=P,this.index=T,this.dataCoordinate=z}function _(g,P,T,z,O,V){this.gl=g,this.shader=P,this.pickShader=T,this.buffer=z,this.vao=O,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=V,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var k=_.prototype;k.isTransparent=function(){return this.hasAlpha},k.isOpaque=function(){return!this.hasAlpha},k.pickSlots=1,k.setPickBase=function(g){this.pickId=g},k.drawTransparent=k.draw=function(g){if(this.vertexCount){var P=this.gl,T=this.shader,z=this.vao;T.bind(),T.uniforms={model:g.model||C,view:g.view||C,projection:g.projection||C,clipBounds:A(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[P.drawingBufferWidth,P.drawingBufferHeight],pixelRatio:this.pixelRatio},z.bind(),z.draw(P.TRIANGLE_STRIP,this.vertexCount),z.unbind()}},k.drawPick=function(g){if(this.vertexCount){var P=this.gl,T=this.pickShader,z=this.vao;T.bind(),T.uniforms={model:g.model||C,view:g.view||C,projection:g.projection||C,pickId:this.pickId,clipBounds:A(this.clipBounds),screenShape:[P.drawingBufferWidth,P.drawingBufferHeight],pixelRatio:this.pixelRatio},z.bind(),z.draw(P.TRIANGLE_STRIP,this.vertexCount),z.unbind()}},k.update=function(g){var P,T;this.dirty=!0;var z=!!g.connectGaps;\"dashScale\"in g&&(this.dashScale=g.dashScale),this.hasAlpha=!1,\"opacity\"in g&&(this.opacity=+g.opacity,this.opacity<1&&(this.hasAlpha=!0));var O=[],V=[],G=[],Z=0,H=0,N=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],j=g.position||g.positions;if(j){var re=g.color||g.colors||[0,0,0,1],oe=g.lineWidth||1,_e=!1;e:for(P=1;P<j.length;++P){var Me=j[P-1],ke=j[P];for(V.push(Z),G.push(Me.slice()),T=0;T<3;++T){if(isNaN(Me[T])||isNaN(ke[T])||!isFinite(Me[T])||!isFinite(ke[T])){if(!z&&O.length>0){for(var me=0;me<24;++me)O.push(O[O.length-12]);H+=2,_e=!0}continue e}N[0][T]=Math.min(N[0][T],Me[T],ke[T]),N[1][T]=Math.max(N[1][T],Me[T],ke[T])}var ie,Se;Array.isArray(re[0])?(ie=re.length>P-1?re[P-1]:re.length>0?re[re.length-1]:[0,0,0,1],Se=re.length>P?re[P]:re.length>0?re[re.length-1]:[0,0,0,1]):ie=Se=re,ie.length===3&&(ie=[ie[0],ie[1],ie[2],1]),Se.length===3&&(Se=[Se[0],Se[1],Se[2],1]),!this.hasAlpha&&ie[3]<1&&(this.hasAlpha=!0);var Le;Array.isArray(oe)?Le=oe.length>P-1?oe[P-1]:oe.length>0?oe[oe.length-1]:[0,0,0,1]:Le=oe;var Ae=Z;if(Z+=E(Me,ke),_e){for(T=0;T<2;++T)O.push(Me[0],Me[1],Me[2],ke[0],ke[1],ke[2],Ae,Le,ie[0],ie[1],ie[2],ie[3]);H+=2,_e=!1}O.push(Me[0],Me[1],Me[2],ke[0],ke[1],ke[2],Ae,Le,ie[0],ie[1],ie[2],ie[3],Me[0],Me[1],Me[2],ke[0],ke[1],ke[2],Ae,-Le,ie[0],ie[1],ie[2],ie[3],ke[0],ke[1],ke[2],Me[0],Me[1],Me[2],Z,-Le,Se[0],Se[1],Se[2],Se[3],ke[0],ke[1],ke[2],Me[0],Me[1],Me[2],Z,Le,Se[0],Se[1],Se[2],Se[3]),H+=4}}if(this.buffer.update(O),V.push(Z),G.push(j[j.length-1].slice()),this.bounds=N,this.vertexCount=H,this.points=G,this.arcLength=V,\"dashes\"in g){var De=g.dashes,Pe=De.slice();for(Pe.unshift(0),P=1;P<Pe.length;++P)Pe[P]=Pe[P-1]+Pe[P];var ge=v(new Array(256*4),[256,1,4]);for(P=0;P<256;++P){for(T=0;T<4;++T)ge.set(P,0,T,0);d.le(Pe,Pe[Pe.length-1]*P/255)&1?ge.set(P,0,0,0):ge.set(P,0,0,255)}this.texture.setPixels(ge)}},k.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},k.pick=function(g){if(!g||g.id!==this.pickId)return null;var P=h(g.value[0],g.value[1],g.value[2],0),T=d.le(this.arcLength,P);if(T<0)return null;if(T===this.arcLength.length-1)return new L(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),T);for(var z=this.points[T],O=this.points[Math.min(T+1,this.points.length-1)],V=(P-this.arcLength[T])/(this.arcLength[T+1]-this.arcLength[T]),G=1-V,Z=[0,0,0],H=0;H<3;++H)Z[H]=G*z[H]+V*O[H];var N=Math.min(V<.5?T:T+1,this.points.length-1);return new L(P,Z,N,this.points[N])};function M(g){var P=g.gl||g.scene&&g.scene.gl,T=b(P);T.attributes.position.location=0,T.attributes.nextPosition.location=1,T.attributes.arcLength.location=2,T.attributes.lineWidth.location=3,T.attributes.color.location=4;var z=p(P);z.attributes.position.location=0,z.attributes.nextPosition.location=1,z.attributes.arcLength.location=2,z.attributes.lineWidth.location=3,z.attributes.color.location=4;for(var O=s(P),V=l(P,[{buffer:O,size:3,offset:0,stride:48},{buffer:O,size:3,offset:12,stride:48},{buffer:O,size:1,offset:24,stride:48},{buffer:O,size:1,offset:28,stride:48},{buffer:O,size:4,offset:32,stride:48}]),G=v(new Array(256*4),[256,1,4]),Z=0;Z<1024;++Z)G.data[Z]=255;var H=u(P,G);H.wrap=P.REPEAT;var N=new _(P,T,z,O,V,H);return N.update(g),N}},1903:function(i){i.exports=a;function a(o){var s=new Float32Array(16);return s[0]=o[0],s[1]=o[1],s[2]=o[2],s[3]=o[3],s[4]=o[4],s[5]=o[5],s[6]=o[6],s[7]=o[7],s[8]=o[8],s[9]=o[9],s[10]=o[10],s[11]=o[11],s[12]=o[12],s[13]=o[13],s[14]=o[14],s[15]=o[15],s}},6864:function(i){i.exports=a;function a(){var o=new Float32Array(16);return o[0]=1,o[1]=0,o[2]=0,o[3]=0,o[4]=0,o[5]=1,o[6]=0,o[7]=0,o[8]=0,o[9]=0,o[10]=1,o[11]=0,o[12]=0,o[13]=0,o[14]=0,o[15]=1,o}},9921:function(i){i.exports=a;function a(o){var s=o[0],l=o[1],u=o[2],c=o[3],f=o[4],h=o[5],d=o[6],v=o[7],x=o[8],b=o[9],p=o[10],C=o[11],E=o[12],A=o[13],L=o[14],_=o[15],k=s*h-l*f,M=s*d-u*f,g=s*v-c*f,P=l*d-u*h,T=l*v-c*h,z=u*v-c*d,O=x*A-b*E,V=x*L-p*E,G=x*_-C*E,Z=b*L-p*A,H=b*_-C*A,N=p*_-C*L;return k*N-M*H+g*Z+P*G-T*V+z*O}},7399:function(i){i.exports=a;function a(o,s){var l=s[0],u=s[1],c=s[2],f=s[3],h=l+l,d=u+u,v=c+c,x=l*h,b=u*h,p=u*d,C=c*h,E=c*d,A=c*v,L=f*h,_=f*d,k=f*v;return o[0]=1-p-A,o[1]=b+k,o[2]=C-_,o[3]=0,o[4]=b-k,o[5]=1-x-A,o[6]=E+L,o[7]=0,o[8]=C+_,o[9]=E-L,o[10]=1-x-p,o[11]=0,o[12]=0,o[13]=0,o[14]=0,o[15]=1,o}},6743:function(i){i.exports=a;function a(o,s,l){var u=s[0],c=s[1],f=s[2],h=s[3],d=u+u,v=c+c,x=f+f,b=u*d,p=u*v,C=u*x,E=c*v,A=c*x,L=f*x,_=h*d,k=h*v,M=h*x;return o[0]=1-(E+L),o[1]=p+M,o[2]=C-k,o[3]=0,o[4]=p-M,o[5]=1-(b+L),o[6]=A+_,o[7]=0,o[8]=C+k,o[9]=A-_,o[10]=1-(b+E),o[11]=0,o[12]=l[0],o[13]=l[1],o[14]=l[2],o[15]=1,o}},7894:function(i){i.exports=a;function a(o){return o[0]=1,o[1]=0,o[2]=0,o[3]=0,o[4]=0,o[5]=1,o[6]=0,o[7]=0,o[8]=0,o[9]=0,o[10]=1,o[11]=0,o[12]=0,o[13]=0,o[14]=0,o[15]=1,o}},7608:function(i){i.exports=a;function a(o,s){var l=s[0],u=s[1],c=s[2],f=s[3],h=s[4],d=s[5],v=s[6],x=s[7],b=s[8],p=s[9],C=s[10],E=s[11],A=s[12],L=s[13],_=s[14],k=s[15],M=l*d-u*h,g=l*v-c*h,P=l*x-f*h,T=u*v-c*d,z=u*x-f*d,O=c*x-f*v,V=b*L-p*A,G=b*_-C*A,Z=b*k-E*A,H=p*_-C*L,N=p*k-E*L,j=C*k-E*_,re=M*j-g*N+P*H+T*Z-z*G+O*V;return re?(re=1/re,o[0]=(d*j-v*N+x*H)*re,o[1]=(c*N-u*j-f*H)*re,o[2]=(L*O-_*z+k*T)*re,o[3]=(C*z-p*O-E*T)*re,o[4]=(v*Z-h*j-x*G)*re,o[5]=(l*j-c*Z+f*G)*re,o[6]=(_*P-A*O-k*g)*re,o[7]=(b*O-C*P+E*g)*re,o[8]=(h*N-d*Z+x*V)*re,o[9]=(u*Z-l*N-f*V)*re,o[10]=(A*z-L*P+k*M)*re,o[11]=(p*P-b*z-E*M)*re,o[12]=(d*G-h*H-v*V)*re,o[13]=(l*H-u*G+c*V)*re,o[14]=(L*g-A*T-_*M)*re,o[15]=(b*T-p*g+C*M)*re,o):null}},6582:function(i,a,o){var s=o(7894);i.exports=l;function l(u,c,f,h){var d,v,x,b,p,C,E,A,L,_,k=c[0],M=c[1],g=c[2],P=h[0],T=h[1],z=h[2],O=f[0],V=f[1],G=f[2];return Math.abs(k-O)<1e-6&&Math.abs(M-V)<1e-6&&Math.abs(g-G)<1e-6?s(u):(E=k-O,A=M-V,L=g-G,_=1/Math.sqrt(E*E+A*A+L*L),E*=_,A*=_,L*=_,d=T*L-z*A,v=z*E-P*L,x=P*A-T*E,_=Math.sqrt(d*d+v*v+x*x),_?(_=1/_,d*=_,v*=_,x*=_):(d=0,v=0,x=0),b=A*x-L*v,p=L*d-E*x,C=E*v-A*d,_=Math.sqrt(b*b+p*p+C*C),_?(_=1/_,b*=_,p*=_,C*=_):(b=0,p=0,C=0),u[0]=d,u[1]=b,u[2]=E,u[3]=0,u[4]=v,u[5]=p,u[6]=A,u[7]=0,u[8]=x,u[9]=C,u[10]=L,u[11]=0,u[12]=-(d*k+v*M+x*g),u[13]=-(b*k+p*M+C*g),u[14]=-(E*k+A*M+L*g),u[15]=1,u)}},6760:function(i){i.exports=a;function a(o,s,l){var u=s[0],c=s[1],f=s[2],h=s[3],d=s[4],v=s[5],x=s[6],b=s[7],p=s[8],C=s[9],E=s[10],A=s[11],L=s[12],_=s[13],k=s[14],M=s[15],g=l[0],P=l[1],T=l[2],z=l[3];return o[0]=g*u+P*d+T*p+z*L,o[1]=g*c+P*v+T*C+z*_,o[2]=g*f+P*x+T*E+z*k,o[3]=g*h+P*b+T*A+z*M,g=l[4],P=l[5],T=l[6],z=l[7],o[4]=g*u+P*d+T*p+z*L,o[5]=g*c+P*v+T*C+z*_,o[6]=g*f+P*x+T*E+z*k,o[7]=g*h+P*b+T*A+z*M,g=l[8],P=l[9],T=l[10],z=l[11],o[8]=g*u+P*d+T*p+z*L,o[9]=g*c+P*v+T*C+z*_,o[10]=g*f+P*x+T*E+z*k,o[11]=g*h+P*b+T*A+z*M,g=l[12],P=l[13],T=l[14],z=l[15],o[12]=g*u+P*d+T*p+z*L,o[13]=g*c+P*v+T*C+z*_,o[14]=g*f+P*x+T*E+z*k,o[15]=g*h+P*b+T*A+z*M,o}},4040:function(i){i.exports=a;function a(o,s,l,u,c,f,h){var d=1/(s-l),v=1/(u-c),x=1/(f-h);return o[0]=-2*d,o[1]=0,o[2]=0,o[3]=0,o[4]=0,o[5]=-2*v,o[6]=0,o[7]=0,o[8]=0,o[9]=0,o[10]=2*x,o[11]=0,o[12]=(s+l)*d,o[13]=(c+u)*v,o[14]=(h+f)*x,o[15]=1,o}},4772:function(i){i.exports=a;function a(o,s,l,u,c){var f=1/Math.tan(s/2),h=1/(u-c);return o[0]=f/l,o[1]=0,o[2]=0,o[3]=0,o[4]=0,o[5]=f,o[6]=0,o[7]=0,o[8]=0,o[9]=0,o[10]=(c+u)*h,o[11]=-1,o[12]=0,o[13]=0,o[14]=2*c*u*h,o[15]=0,o}},6079:function(i){i.exports=a;function a(o,s,l,u){var c=u[0],f=u[1],h=u[2],d=Math.sqrt(c*c+f*f+h*h),v,x,b,p,C,E,A,L,_,k,M,g,P,T,z,O,V,G,Z,H,N,j,re,oe;return Math.abs(d)<1e-6?null:(d=1/d,c*=d,f*=d,h*=d,v=Math.sin(l),x=Math.cos(l),b=1-x,p=s[0],C=s[1],E=s[2],A=s[3],L=s[4],_=s[5],k=s[6],M=s[7],g=s[8],P=s[9],T=s[10],z=s[11],O=c*c*b+x,V=f*c*b+h*v,G=h*c*b-f*v,Z=c*f*b-h*v,H=f*f*b+x,N=h*f*b+c*v,j=c*h*b+f*v,re=f*h*b-c*v,oe=h*h*b+x,o[0]=p*O+L*V+g*G,o[1]=C*O+_*V+P*G,o[2]=E*O+k*V+T*G,o[3]=A*O+M*V+z*G,o[4]=p*Z+L*H+g*N,o[5]=C*Z+_*H+P*N,o[6]=E*Z+k*H+T*N,o[7]=A*Z+M*H+z*N,o[8]=p*j+L*re+g*oe,o[9]=C*j+_*re+P*oe,o[10]=E*j+k*re+T*oe,o[11]=A*j+M*re+z*oe,s!==o&&(o[12]=s[12],o[13]=s[13],o[14]=s[14],o[15]=s[15]),o)}},5567:function(i){i.exports=a;function a(o,s,l){var u=Math.sin(l),c=Math.cos(l),f=s[4],h=s[5],d=s[6],v=s[7],x=s[8],b=s[9],p=s[10],C=s[11];return s!==o&&(o[0]=s[0],o[1]=s[1],o[2]=s[2],o[3]=s[3],o[12]=s[12],o[13]=s[13],o[14]=s[14],o[15]=s[15]),o[4]=f*c+x*u,o[5]=h*c+b*u,o[6]=d*c+p*u,o[7]=v*c+C*u,o[8]=x*c-f*u,o[9]=b*c-h*u,o[10]=p*c-d*u,o[11]=C*c-v*u,o}},2408:function(i){i.exports=a;function a(o,s,l){var u=Math.sin(l),c=Math.cos(l),f=s[0],h=s[1],d=s[2],v=s[3],x=s[8],b=s[9],p=s[10],C=s[11];return s!==o&&(o[4]=s[4],o[5]=s[5],o[6]=s[6],o[7]=s[7],o[12]=s[12],o[13]=s[13],o[14]=s[14],o[15]=s[15]),o[0]=f*c-x*u,o[1]=h*c-b*u,o[2]=d*c-p*u,o[3]=v*c-C*u,o[8]=f*u+x*c,o[9]=h*u+b*c,o[10]=d*u+p*c,o[11]=v*u+C*c,o}},7089:function(i){i.exports=a;function a(o,s,l){var u=Math.sin(l),c=Math.cos(l),f=s[0],h=s[1],d=s[2],v=s[3],x=s[4],b=s[5],p=s[6],C=s[7];return s!==o&&(o[8]=s[8],o[9]=s[9],o[10]=s[10],o[11]=s[11],o[12]=s[12],o[13]=s[13],o[14]=s[14],o[15]=s[15]),o[0]=f*c+x*u,o[1]=h*c+b*u,o[2]=d*c+p*u,o[3]=v*c+C*u,o[4]=x*c-f*u,o[5]=b*c-h*u,o[6]=p*c-d*u,o[7]=C*c-v*u,o}},2504:function(i){i.exports=a;function a(o,s,l){var u=l[0],c=l[1],f=l[2];return o[0]=s[0]*u,o[1]=s[1]*u,o[2]=s[2]*u,o[3]=s[3]*u,o[4]=s[4]*c,o[5]=s[5]*c,o[6]=s[6]*c,o[7]=s[7]*c,o[8]=s[8]*f,o[9]=s[9]*f,o[10]=s[10]*f,o[11]=s[11]*f,o[12]=s[12],o[13]=s[13],o[14]=s[14],o[15]=s[15],o}},7656:function(i){i.exports=a;function a(o,s,l){var u=l[0],c=l[1],f=l[2],h,d,v,x,b,p,C,E,A,L,_,k;return s===o?(o[12]=s[0]*u+s[4]*c+s[8]*f+s[12],o[13]=s[1]*u+s[5]*c+s[9]*f+s[13],o[14]=s[2]*u+s[6]*c+s[10]*f+s[14],o[15]=s[3]*u+s[7]*c+s[11]*f+s[15]):(h=s[0],d=s[1],v=s[2],x=s[3],b=s[4],p=s[5],C=s[6],E=s[7],A=s[8],L=s[9],_=s[10],k=s[11],o[0]=h,o[1]=d,o[2]=v,o[3]=x,o[4]=b,o[5]=p,o[6]=C,o[7]=E,o[8]=A,o[9]=L,o[10]=_,o[11]=k,o[12]=h*u+b*c+A*f+s[12],o[13]=d*u+p*c+L*f+s[13],o[14]=v*u+C*c+_*f+s[14],o[15]=x*u+E*c+k*f+s[15]),o}},5665:function(i){i.exports=a;function a(o,s){if(o===s){var l=s[1],u=s[2],c=s[3],f=s[6],h=s[7],d=s[11];o[1]=s[4],o[2]=s[8],o[3]=s[12],o[4]=l,o[6]=s[9],o[7]=s[13],o[8]=u,o[9]=f,o[11]=s[14],o[12]=c,o[13]=h,o[14]=d}else o[0]=s[0],o[1]=s[4],o[2]=s[8],o[3]=s[12],o[4]=s[1],o[5]=s[5],o[6]=s[9],o[7]=s[13],o[8]=s[2],o[9]=s[6],o[10]=s[10],o[11]=s[14],o[12]=s[3],o[13]=s[7],o[14]=s[11],o[15]=s[15];return o}},7626:function(i,a,o){\"use strict\";var s=o(2642),l=o(9346);i.exports=d;function u(v,x){for(var b=[0,0,0,0],p=0;p<4;++p)for(var C=0;C<4;++C)b[C]+=v[4*p+C]*x[p];return b}function c(v,x,b,p,C){for(var E=u(p,u(b,u(x,[v[0],v[1],v[2],1]))),A=0;A<3;++A)E[A]/=E[3];return[.5*C[0]*(1+E[0]),.5*C[1]*(1-E[1])]}function f(v,x){if(v.length===2){for(var b=0,p=0,C=0;C<2;++C)b+=Math.pow(x[C]-v[0][C],2),p+=Math.pow(x[C]-v[1][C],2);return b=Math.sqrt(b),p=Math.sqrt(p),b+p<1e-6?[1,0]:[p/(b+p),b/(p+b)]}else if(v.length===3){var E=[0,0];return l(v[0],v[1],v[2],x,E),s(v,E)}return[]}function h(v,x){for(var b=[0,0,0],p=0;p<v.length;++p)for(var C=v[p],E=x[p],A=0;A<3;++A)b[A]+=E*C[A];return b}function d(v,x,b,p,C,E){if(v.length===1)return[0,v[0].slice()];for(var A=new Array(v.length),L=0;L<v.length;++L)A[L]=c(v[L],b,p,C,E);for(var _=0,k=1/0,L=0;L<A.length;++L){for(var M=0,g=0;g<2;++g)M+=Math.pow(A[L][g]-x[g],2);M<k&&(k=M,_=L)}for(var P=f(A,x),T=0,L=0;L<3;++L){if(P[L]<-.001||P[L]>1.0001)return null;T+=P[L]}return Math.abs(T-1)>.001?null:[_,h(v,P),P]}},840:function(i,a,o){var s=o(3236),l=s([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "attribute vec3 position, normal;\n",
       "attribute vec4 color;\n",
       "attribute vec2 uv;\n",
       "\n",
       "uniform mat4 model\n",
       "           , view\n",
       "           , projection\n",
       "           , inverseModel;\n",
       "uniform vec3 eyePosition\n",
       "           , lightPosition;\n",
       "\n",
       "varying vec3 f_normal\n",
       "           , f_lightDirection\n",
       "           , f_eyeDirection\n",
       "           , f_data;\n",
       "varying vec4 f_color;\n",
       "varying vec2 f_uv;\n",
       "\n",
       "vec4 project(vec3 p) {\n",
       "  return projection * (view * (model * vec4(p, 1.0)));\n",
       "}\n",
       "\n",
       "void 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",
       "`]),u=s([`#extension GL_OES_standard_derivatives : enable\n",
       "\n",
       "precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "float 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",
       "\n",
       "float 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",
       "\n",
       "bool outOfRange(float a, float b, float p) {\n",
       "  return ((p > max(a, b)) || \n",
       "          (p < min(a, b)));\n",
       "}\n",
       "\n",
       "bool 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",
       "\n",
       "bool 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",
       "\n",
       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
       "}\n",
       "\n",
       "uniform vec3 clipBounds[2];\n",
       "uniform float roughness\n",
       "            , fresnel\n",
       "            , kambient\n",
       "            , kdiffuse\n",
       "            , kspecular;\n",
       "uniform sampler2D texture;\n",
       "\n",
       "varying vec3 f_normal\n",
       "           , f_lightDirection\n",
       "           , f_eyeDirection\n",
       "           , f_data;\n",
       "varying vec4 f_color;\n",
       "varying vec2 f_uv;\n",
       "\n",
       "void 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",
       "`]),c=s([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "attribute vec3 position;\n",
       "attribute vec4 color;\n",
       "attribute vec2 uv;\n",
       "\n",
       "uniform mat4 model, view, projection;\n",
       "\n",
       "varying vec4 f_color;\n",
       "varying vec3 f_data;\n",
       "varying vec2 f_uv;\n",
       "\n",
       "void main() {\n",
       "  gl_Position = projection * (view * (model * vec4(position, 1.0)));\n",
       "  f_color = color;\n",
       "  f_data  = position;\n",
       "  f_uv    = uv;\n",
       "}`]),f=s([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "bool outOfRange(float a, float b, float p) {\n",
       "  return ((p > max(a, b)) || \n",
       "          (p < min(a, b)));\n",
       "}\n",
       "\n",
       "bool 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",
       "\n",
       "bool 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",
       "\n",
       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
       "}\n",
       "\n",
       "uniform vec3 clipBounds[2];\n",
       "uniform sampler2D texture;\n",
       "uniform float opacity;\n",
       "\n",
       "varying vec4 f_color;\n",
       "varying vec3 f_data;\n",
       "varying vec2 f_uv;\n",
       "\n",
       "void main() {\n",
       "  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\n",
       "\n",
       "  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n",
       "}`]),h=s([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "bool outOfRange(float a, float b, float p) {\n",
       "  return ((p > max(a, b)) || \n",
       "          (p < min(a, b)));\n",
       "}\n",
       "\n",
       "bool 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",
       "\n",
       "bool 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",
       "\n",
       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
       "}\n",
       "\n",
       "attribute vec3 position;\n",
       "attribute vec4 color;\n",
       "attribute vec2 uv;\n",
       "attribute float pointSize;\n",
       "\n",
       "uniform mat4 model, view, projection;\n",
       "uniform vec3 clipBounds[2];\n",
       "\n",
       "varying vec4 f_color;\n",
       "varying vec2 f_uv;\n",
       "\n",
       "void 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",
       "}`]),d=s([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "uniform sampler2D texture;\n",
       "uniform float opacity;\n",
       "\n",
       "varying vec4 f_color;\n",
       "varying vec2 f_uv;\n",
       "\n",
       "void 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",
       "}`]),v=s([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "attribute vec3 position;\n",
       "attribute vec4 id;\n",
       "\n",
       "uniform mat4 model, view, projection;\n",
       "\n",
       "varying vec3 f_position;\n",
       "varying vec4 f_id;\n",
       "\n",
       "void main() {\n",
       "  gl_Position = projection * (view * (model * vec4(position, 1.0)));\n",
       "  f_id        = id;\n",
       "  f_position  = position;\n",
       "}`]),x=s([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "bool outOfRange(float a, float b, float p) {\n",
       "  return ((p > max(a, b)) || \n",
       "          (p < min(a, b)));\n",
       "}\n",
       "\n",
       "bool 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",
       "\n",
       "bool 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",
       "\n",
       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
       "}\n",
       "\n",
       "uniform vec3  clipBounds[2];\n",
       "uniform float pickId;\n",
       "\n",
       "varying vec3 f_position;\n",
       "varying vec4 f_id;\n",
       "\n",
       "void main() {\n",
       "  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n",
       "\n",
       "  gl_FragColor = vec4(pickId, f_id.xyz);\n",
       "}`]),b=s([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "bool outOfRange(float a, float b, float p) {\n",
       "  return ((p > max(a, b)) || \n",
       "          (p < min(a, b)));\n",
       "}\n",
       "\n",
       "bool 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",
       "\n",
       "bool 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",
       "\n",
       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
       "}\n",
       "\n",
       "attribute vec3  position;\n",
       "attribute float pointSize;\n",
       "attribute vec4  id;\n",
       "\n",
       "uniform mat4 model, view, projection;\n",
       "uniform vec3 clipBounds[2];\n",
       "\n",
       "varying vec3 f_position;\n",
       "varying vec4 f_id;\n",
       "\n",
       "void 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=s([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "attribute vec3 position;\n",
       "\n",
       "uniform mat4 model, view, projection;\n",
       "\n",
       "void main() {\n",
       "  gl_Position = projection * (view * (model * vec4(position, 1.0)));\n",
       "}`]),C=s([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "uniform vec3 contourColor;\n",
       "\n",
       "void main() {\n",
       "  gl_FragColor = vec4(contourColor, 1.0);\n",
       "}\n",
       "`]);a.meshShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},a.wireShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},a.pointShader={vertex:h,fragment:d,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},a.pickShader={vertex:v,fragment:x,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},a.pointPickShader={vertex:b,fragment:x,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},a.contourShader={vertex:p,fragment:C,attributes:[{name:\"position\",type:\"vec3\"}]}},7201:function(i,a,o){\"use strict\";var s=1e-6,l=1e-6,u=o(9405),c=o(2762),f=o(8116),h=o(7766),d=o(8406),v=o(6760),x=o(7608),b=o(9618),p=o(6729),C=o(7765),E=o(1888),A=o(840),L=o(7626),_=A.meshShader,k=A.wireShader,M=A.pointShader,g=A.pickShader,P=A.pointPickShader,T=A.contourShader,z=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function O(me,ie,Se,Le,Ae,De,Pe,ge,Fe,ce,Ze,ct,pt,Wt,st,lt,Gt,Nt,$t,sr,wr,ur,Qe,Et,er,Ut,Ft){this.gl=me,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=ie,this.dirty=!0,this.triShader=Se,this.lineShader=Le,this.pointShader=Ae,this.pickShader=De,this.pointPickShader=Pe,this.contourShader=ge,this.trianglePositions=Fe,this.triangleColors=Ze,this.triangleNormals=pt,this.triangleUVs=ct,this.triangleIds=ce,this.triangleVAO=Wt,this.triangleCount=0,this.lineWidth=1,this.edgePositions=st,this.edgeColors=Gt,this.edgeUVs=Nt,this.edgeIds=lt,this.edgeVAO=$t,this.edgeCount=0,this.pointPositions=sr,this.pointColors=ur,this.pointUVs=Qe,this.pointSizes=Et,this.pointIds=wr,this.pointVAO=er,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=Ut,this.contourVAO=Ft,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=z,this._view=z,this._projection=z,this._resolution=[1,1]}var V=O.prototype;V.isOpaque=function(){return!this.hasAlpha},V.isTransparent=function(){return this.hasAlpha},V.pickSlots=1,V.setPickBase=function(me){this.pickId=me};function G(me,ie){if(!ie||!ie.length)return 1;for(var Se=0;Se<ie.length;++Se){if(ie.length<2)return 1;if(ie[Se][0]===me)return ie[Se][1];if(ie[Se][0]>me&&Se>0){var Le=(ie[Se][0]-me)/(ie[Se][0]-ie[Se-1][0]);return ie[Se][1]*(1-Le)+Le*ie[Se-1][1]}}return 1}function Z(me,ie){for(var Se=p({colormap:me,nshades:256,format:\"rgba\"}),Le=new Uint8Array(256*4),Ae=0;Ae<256;++Ae){for(var De=Se[Ae],Pe=0;Pe<3;++Pe)Le[4*Ae+Pe]=De[Pe];ie?Le[4*Ae+3]=255*G(Ae/255,ie):Le[4*Ae+3]=255*De[3]}return b(Le,[256,256,4],[4,0,1])}function H(me){for(var ie=me.length,Se=new Array(ie),Le=0;Le<ie;++Le)Se[Le]=me[Le][2];return Se}V.highlight=function(me){if(!me||!this.contourEnable){this.contourCount=0;return}for(var ie=C(this.cells,this.intensity,me.intensity),Se=ie.cells,Le=ie.vertexIds,Ae=ie.vertexWeights,De=Se.length,Pe=E.mallocFloat32(2*3*De),ge=0,Fe=0;Fe<De;++Fe)for(var ce=Se[Fe],Ze=0;Ze<2;++Ze){var ct=ce[0];ce.length===2&&(ct=ce[Ze]);for(var pt=Le[ct][0],Wt=Le[ct][1],st=Ae[ct],lt=1-st,Gt=this.positions[pt],Nt=this.positions[Wt],$t=0;$t<3;++$t)Pe[ge++]=st*Gt[$t]+lt*Nt[$t]}this.contourCount=ge/3|0,this.contourPositions.update(Pe.subarray(0,ge)),E.free(Pe)},V.update=function(me){me=me||{};var ie=this.gl;this.dirty=!0,\"contourEnable\"in me&&(this.contourEnable=me.contourEnable),\"contourColor\"in me&&(this.contourColor=me.contourColor),\"lineWidth\"in me&&(this.lineWidth=me.lineWidth),\"lightPosition\"in me&&(this.lightPosition=me.lightPosition),this.hasAlpha=!1,\"opacity\"in me&&(this.opacity=me.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in me&&(this.opacityscale=me.opacityscale,this.hasAlpha=!0),\"ambient\"in me&&(this.ambientLight=me.ambient),\"diffuse\"in me&&(this.diffuseLight=me.diffuse),\"specular\"in me&&(this.specularLight=me.specular),\"roughness\"in me&&(this.roughness=me.roughness),\"fresnel\"in me&&(this.fresnel=me.fresnel),me.texture?(this.texture.dispose(),this.texture=h(ie,me.texture)):me.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=ie.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=ie.LINEAR,this.texture.setPixels(Z(me.colormap,this.opacityscale)),this.texture.generateMipmap());var Se=me.cells,Le=me.positions;if(!(!Le||!Se)){var Ae=[],De=[],Pe=[],ge=[],Fe=[],ce=[],Ze=[],ct=[],pt=[],Wt=[],st=[],lt=[],Gt=[],Nt=[];this.cells=Se,this.positions=Le;var $t=me.vertexNormals,sr=me.cellNormals,wr=me.vertexNormalsEpsilon===void 0?s:me.vertexNormalsEpsilon,ur=me.faceNormalsEpsilon===void 0?l:me.faceNormalsEpsilon;me.useFacetNormals&&!sr&&(sr=d.faceNormals(Se,Le,ur)),!sr&&!$t&&($t=d.vertexNormals(Se,Le,wr));var Qe=me.vertexColors,Et=me.cellColors,er=me.meshColor||[1,1,1,1],Ut=me.vertexUVs,Ft=me.vertexIntensity,bt=me.cellUVs,yt=me.cellIntensity,Yt=1/0,lr=-1/0;if(!Ut&&!bt)if(Ft)if(me.vertexIntensityBounds)Yt=+me.vertexIntensityBounds[0],lr=+me.vertexIntensityBounds[1];else for(var Tr=0;Tr<Ft.length;++Tr){var Rr=Ft[Tr];Yt=Math.min(Yt,Rr),lr=Math.max(lr,Rr)}else if(yt)if(me.cellIntensityBounds)Yt=+me.cellIntensityBounds[0],lr=+me.cellIntensityBounds[1];else for(var Tr=0;Tr<yt.length;++Tr){var Rr=yt[Tr];Yt=Math.min(Yt,Rr),lr=Math.max(lr,Rr)}else for(var Tr=0;Tr<Le.length;++Tr){var Rr=Le[Tr][2];Yt=Math.min(Yt,Rr),lr=Math.max(lr,Rr)}Ft?this.intensity=Ft:yt?this.intensity=yt:this.intensity=H(Le),this.pickVertex=!(yt||Et);var ei=me.pointSizes,Wr=me.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(var Tr=0;Tr<Le.length;++Tr)for(var Ur=Le[Tr],dt=0;dt<3;++dt)isNaN(Ur[dt])||!isFinite(Ur[dt])||(this.bounds[0][dt]=Math.min(this.bounds[0][dt],Ur[dt]),this.bounds[1][dt]=Math.max(this.bounds[1][dt],Ur[dt]));var Ge=0,Je=0,je=0;e:for(var Tr=0;Tr<Se.length;++Tr){var $e=Se[Tr];switch($e.length){case 1:for(var wt=$e[0],Ur=Le[wt],dt=0;dt<3;++dt)if(isNaN(Ur[dt])||!isFinite(Ur[dt]))continue e;Wt.push(Ur[0],Ur[1],Ur[2]);var Ie;Qe?Ie=Qe[wt]:Et?Ie=Et[Tr]:Ie=er,this.opacityscale&&Ft?De.push(Ie[0],Ie[1],Ie[2],this.opacity*G((Ft[wt]-Yt)/(lr-Yt),this.opacityscale)):Ie.length===3?st.push(Ie[0],Ie[1],Ie[2],this.opacity):(st.push(Ie[0],Ie[1],Ie[2],Ie[3]*this.opacity),Ie[3]<1&&(this.hasAlpha=!0));var xe;Ut?xe=Ut[wt]:Ft?xe=[(Ft[wt]-Yt)/(lr-Yt),0]:bt?xe=bt[Tr]:yt?xe=[(yt[Tr]-Yt)/(lr-Yt),0]:xe=[(Ur[2]-Yt)/(lr-Yt),0],lt.push(xe[0],xe[1]),ei?Gt.push(ei[wt]):Gt.push(Wr),Nt.push(Tr),je+=1;break;case 2:for(var dt=0;dt<2;++dt)for(var wt=$e[dt],Ur=Le[wt],Ce=0;Ce<3;++Ce)if(isNaN(Ur[Ce])||!isFinite(Ur[Ce]))continue e;for(var dt=0;dt<2;++dt){var wt=$e[dt],Ur=Le[wt];ce.push(Ur[0],Ur[1],Ur[2]);var Ie;Qe?Ie=Qe[wt]:Et?Ie=Et[Tr]:Ie=er,this.opacityscale&&Ft?De.push(Ie[0],Ie[1],Ie[2],this.opacity*G((Ft[wt]-Yt)/(lr-Yt),this.opacityscale)):Ie.length===3?Ze.push(Ie[0],Ie[1],Ie[2],this.opacity):(Ze.push(Ie[0],Ie[1],Ie[2],Ie[3]*this.opacity),Ie[3]<1&&(this.hasAlpha=!0));var xe;Ut?xe=Ut[wt]:Ft?xe=[(Ft[wt]-Yt)/(lr-Yt),0]:bt?xe=bt[Tr]:yt?xe=[(yt[Tr]-Yt)/(lr-Yt),0]:xe=[(Ur[2]-Yt)/(lr-Yt),0],ct.push(xe[0],xe[1]),pt.push(Tr)}Je+=1;break;case 3:for(var dt=0;dt<3;++dt)for(var wt=$e[dt],Ur=Le[wt],Ce=0;Ce<3;++Ce)if(isNaN(Ur[Ce])||!isFinite(Ur[Ce]))continue e;for(var dt=0;dt<3;++dt){var wt=$e[2-dt],Ur=Le[wt];Ae.push(Ur[0],Ur[1],Ur[2]);var Ie;Qe?Ie=Qe[wt]:Et?Ie=Et[Tr]:Ie=er,Ie?this.opacityscale&&Ft?De.push(Ie[0],Ie[1],Ie[2],this.opacity*G((Ft[wt]-Yt)/(lr-Yt),this.opacityscale)):Ie.length===3?De.push(Ie[0],Ie[1],Ie[2],this.opacity):(De.push(Ie[0],Ie[1],Ie[2],Ie[3]*this.opacity),Ie[3]<1&&(this.hasAlpha=!0)):De.push(.5,.5,.5,1);var xe;Ut?xe=Ut[wt]:Ft?xe=[(Ft[wt]-Yt)/(lr-Yt),0]:bt?xe=bt[Tr]:yt?xe=[(yt[Tr]-Yt)/(lr-Yt),0]:xe=[(Ur[2]-Yt)/(lr-Yt),0],ge.push(xe[0],xe[1]);var vt;$t?vt=$t[wt]:vt=sr[Tr],Pe.push(vt[0],vt[1],vt[2]),Fe.push(Tr)}Ge+=1;break;default:break}}this.pointCount=je,this.edgeCount=Je,this.triangleCount=Ge,this.pointPositions.update(Wt),this.pointColors.update(st),this.pointUVs.update(lt),this.pointSizes.update(Gt),this.pointIds.update(new Uint32Array(Nt)),this.edgePositions.update(ce),this.edgeColors.update(Ze),this.edgeUVs.update(ct),this.edgeIds.update(new Uint32Array(pt)),this.trianglePositions.update(Ae),this.triangleColors.update(De),this.triangleUVs.update(ge),this.triangleNormals.update(Pe),this.triangleIds.update(new Uint32Array(Fe))}},V.drawTransparent=V.draw=function(me){me=me||{};for(var ie=this.gl,Se=me.model||z,Le=me.view||z,Ae=me.projection||z,De=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],Pe=0;Pe<3;++Pe)De[0][Pe]=Math.max(De[0][Pe],this.clipBounds[0][Pe]),De[1][Pe]=Math.min(De[1][Pe],this.clipBounds[1][Pe]);var ge={model:Se,view:Le,projection:Ae,inverseModel:z.slice(),clipBounds:De,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};ge.inverseModel=x(ge.inverseModel,ge.model),ie.disable(ie.CULL_FACE),this.texture.bind(0);var Fe=new Array(16);v(Fe,ge.view,ge.model),v(Fe,ge.projection,Fe),x(Fe,Fe);for(var Pe=0;Pe<3;++Pe)ge.eyePosition[Pe]=Fe[12+Pe]/Fe[15];for(var ce=Fe[15],Pe=0;Pe<3;++Pe)ce+=this.lightPosition[Pe]*Fe[4*Pe+3];for(var Pe=0;Pe<3;++Pe){for(var Ze=Fe[12+Pe],ct=0;ct<3;++ct)Ze+=Fe[4*ct+Pe]*this.lightPosition[ct];ge.lightPosition[Pe]=Ze/ce}if(this.triangleCount>0){var pt=this.triShader;pt.bind(),pt.uniforms=ge,this.triangleVAO.bind(),ie.drawArrays(ie.TRIANGLES,0,this.triangleCount*3),this.triangleVAO.unbind()}if(this.edgeCount>0&&this.lineWidth>0){var pt=this.lineShader;pt.bind(),pt.uniforms=ge,this.edgeVAO.bind(),ie.lineWidth(this.lineWidth*this.pixelRatio),ie.drawArrays(ie.LINES,0,this.edgeCount*2),this.edgeVAO.unbind()}if(this.pointCount>0){var pt=this.pointShader;pt.bind(),pt.uniforms=ge,this.pointVAO.bind(),ie.drawArrays(ie.POINTS,0,this.pointCount),this.pointVAO.unbind()}if(this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0){var pt=this.contourShader;pt.bind(),pt.uniforms=ge,this.contourVAO.bind(),ie.drawArrays(ie.LINES,0,this.contourCount),this.contourVAO.unbind()}},V.drawPick=function(me){me=me||{};for(var ie=this.gl,Se=me.model||z,Le=me.view||z,Ae=me.projection||z,De=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],Pe=0;Pe<3;++Pe)De[0][Pe]=Math.max(De[0][Pe],this.clipBounds[0][Pe]),De[1][Pe]=Math.min(De[1][Pe],this.clipBounds[1][Pe]);this._model=[].slice.call(Se),this._view=[].slice.call(Le),this._projection=[].slice.call(Ae),this._resolution=[ie.drawingBufferWidth,ie.drawingBufferHeight];var ge={model:Se,view:Le,projection:Ae,clipBounds:De,pickId:this.pickId/255},Fe=this.pickShader;if(Fe.bind(),Fe.uniforms=ge,this.triangleCount>0&&(this.triangleVAO.bind(),ie.drawArrays(ie.TRIANGLES,0,this.triangleCount*3),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),ie.lineWidth(this.lineWidth*this.pixelRatio),ie.drawArrays(ie.LINES,0,this.edgeCount*2),this.edgeVAO.unbind()),this.pointCount>0){var Fe=this.pointPickShader;Fe.bind(),Fe.uniforms=ge,this.pointVAO.bind(),ie.drawArrays(ie.POINTS,0,this.pointCount),this.pointVAO.unbind()}},V.pick=function(me){if(!me||me.id!==this.pickId)return null;for(var ie=me.value[0]+256*me.value[1]+65536*me.value[2],Se=this.cells[ie],Le=this.positions,Ae=new Array(Se.length),De=0;De<Se.length;++De)Ae[De]=Le[Se[De]];var Pe=me.coord[0],ge=me.coord[1];if(!this.pickVertex){var Fe=this.positions[Se[0]],ce=this.positions[Se[1]],Ze=this.positions[Se[2]],ct=[(Fe[0]+ce[0]+Ze[0])/3,(Fe[1]+ce[1]+Ze[1])/3,(Fe[2]+ce[2]+Ze[2])/3];return{_cellCenter:!0,position:[Pe,ge],index:ie,cell:Se,cellId:ie,intensity:this.intensity[ie],dataCoordinate:ct}}var pt=L(Ae,[Pe*this.pixelRatio,this._resolution[1]-ge*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!pt)return null;for(var Wt=pt[2],st=0,De=0;De<Se.length;++De)st+=Wt[De]*this.intensity[Se[De]];return{position:pt[1],index:Se[pt[0]],cell:Se,cellId:ie,intensity:st,dataCoordinate:this.positions[Se[pt[0]]]}},V.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()};function N(me){var ie=u(me,_.vertex,_.fragment);return ie.attributes.position.location=0,ie.attributes.color.location=2,ie.attributes.uv.location=3,ie.attributes.normal.location=4,ie}function j(me){var ie=u(me,k.vertex,k.fragment);return ie.attributes.position.location=0,ie.attributes.color.location=2,ie.attributes.uv.location=3,ie}function re(me){var ie=u(me,M.vertex,M.fragment);return ie.attributes.position.location=0,ie.attributes.color.location=2,ie.attributes.uv.location=3,ie.attributes.pointSize.location=4,ie}function oe(me){var ie=u(me,g.vertex,g.fragment);return ie.attributes.position.location=0,ie.attributes.id.location=1,ie}function _e(me){var ie=u(me,P.vertex,P.fragment);return ie.attributes.position.location=0,ie.attributes.id.location=1,ie.attributes.pointSize.location=4,ie}function Me(me){var ie=u(me,T.vertex,T.fragment);return ie.attributes.position.location=0,ie}function ke(me,ie){arguments.length===1&&(ie=me,me=ie.gl);var Se=me.getExtension(\"OES_standard_derivatives\")||me.getExtension(\"MOZ_OES_standard_derivatives\")||me.getExtension(\"WEBKIT_OES_standard_derivatives\");if(!Se)throw new Error(\"derivatives not supported\");var Le=N(me),Ae=j(me),De=re(me),Pe=oe(me),ge=_e(me),Fe=Me(me),ce=h(me,b(new Uint8Array([255,255,255,255]),[1,1,4]));ce.generateMipmap(),ce.minFilter=me.LINEAR_MIPMAP_LINEAR,ce.magFilter=me.LINEAR;var Ze=c(me),ct=c(me),pt=c(me),Wt=c(me),st=c(me),lt=f(me,[{buffer:Ze,type:me.FLOAT,size:3},{buffer:st,type:me.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:ct,type:me.FLOAT,size:4},{buffer:pt,type:me.FLOAT,size:2},{buffer:Wt,type:me.FLOAT,size:3}]),Gt=c(me),Nt=c(me),$t=c(me),sr=c(me),wr=f(me,[{buffer:Gt,type:me.FLOAT,size:3},{buffer:sr,type:me.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:Nt,type:me.FLOAT,size:4},{buffer:$t,type:me.FLOAT,size:2}]),ur=c(me),Qe=c(me),Et=c(me),er=c(me),Ut=c(me),Ft=f(me,[{buffer:ur,type:me.FLOAT,size:3},{buffer:Ut,type:me.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:Qe,type:me.FLOAT,size:4},{buffer:Et,type:me.FLOAT,size:2},{buffer:er,type:me.FLOAT,size:1}]),bt=c(me),yt=f(me,[{buffer:bt,type:me.FLOAT,size:3}]),Yt=new O(me,ce,Le,Ae,De,Pe,ge,Fe,Ze,st,ct,pt,Wt,lt,Gt,sr,Nt,$t,wr,ur,Ut,Qe,Et,er,Ft,bt,yt);return Yt.update(ie),Yt}i.exports=ke},4437:function(i,a,o){\"use strict\";i.exports=d;var s=o(3025),l=o(6296),u=o(351),c=o(8512),f=o(24),h=o(7520);function d(v,x){v=v||document.body,x=x||{};var b=[.01,1/0];\"distanceLimits\"in x&&(b[0]=x.distanceLimits[0],b[1]=x.distanceLimits[1]),\"zoomMin\"in x&&(b[0]=x.zoomMin),\"zoomMax\"in x&&(b[1]=x.zoomMax);var p=l({center:x.center||[0,0,0],up:x.up||[0,1,0],eye:x.eye||[0,0,10],mode:x.mode||\"orbit\",distanceLimits:b}),C=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],E=0,A=v.clientWidth,L=v.clientHeight,_={keyBindingMode:\"rotate\",enableWheel:!0,view:p,element:v,delay:x.delay||16,rotateSpeed:x.rotateSpeed||1,zoomSpeed:x.zoomSpeed||1,translateSpeed:x.translateSpeed||1,flipX:!!x.flipX,flipY:!!x.flipY,modes:p.modes,_ortho:x._ortho||x.projection&&x.projection.type===\"orthographic\"||!1,tick:function(){var k=s(),M=this.delay,g=k-2*M;p.idle(k-M),p.recalcMatrix(g),p.flush(k-(100+M*2));for(var P=!0,T=p.computedMatrix,z=0;z<16;++z)P=P&&C[z]===T[z],C[z]=T[z];var O=v.clientWidth===A&&v.clientHeight===L;return A=v.clientWidth,L=v.clientHeight,P?!O:(E=Math.exp(p.computedRadius[0]),!0)},lookAt:function(k,M,g){p.lookAt(p.lastT(),k,M,g)},rotate:function(k,M,g){p.rotate(p.lastT(),k,M,g)},pan:function(k,M,g){p.pan(p.lastT(),k,M,g)},translate:function(k,M,g){p.translate(p.lastT(),k,M,g)}};return Object.defineProperties(_,{matrix:{get:function(){return p.computedMatrix},set:function(k){return p.setMatrix(p.lastT(),k),p.computedMatrix},enumerable:!0},mode:{get:function(){return p.getMode()},set:function(k){var M=p.computedUp.slice(),g=p.computedEye.slice(),P=p.computedCenter.slice();if(p.setMode(k),k===\"turntable\"){var T=s();p._active.lookAt(T,g,P,M),p._active.lookAt(T+500,g,P,[0,0,1]),p._active.flush(T)}return p.getMode()},enumerable:!0},center:{get:function(){return p.computedCenter},set:function(k){return p.lookAt(p.lastT(),null,k),p.computedCenter},enumerable:!0},eye:{get:function(){return p.computedEye},set:function(k){return p.lookAt(p.lastT(),k),p.computedEye},enumerable:!0},up:{get:function(){return p.computedUp},set:function(k){return p.lookAt(p.lastT(),null,null,k),p.computedUp},enumerable:!0},distance:{get:function(){return E},set:function(k){return p.setDistance(p.lastT(),k),k},enumerable:!0},distanceLimits:{get:function(){return p.getDistanceLimits(b)},set:function(k){return p.setDistanceLimits(k),k},enumerable:!0}}),v.addEventListener(\"contextmenu\",function(k){return k.preventDefault(),!1}),_._lastX=-1,_._lastY=-1,_._lastMods={shift:!1,control:!1,alt:!1,meta:!1},_.enableMouseListeners=function(){_.mouseListener=u(v,k),v.addEventListener(\"touchstart\",function(M){var g=f(M.changedTouches[0],v);k(0,g[0],g[1],_._lastMods),k(1,g[0],g[1],_._lastMods)},h?{passive:!0}:!1),v.addEventListener(\"touchmove\",function(M){var g=f(M.changedTouches[0],v);k(1,g[0],g[1],_._lastMods),M.preventDefault()},h?{passive:!1}:!1),v.addEventListener(\"touchend\",function(M){k(0,_._lastX,_._lastY,_._lastMods)},h?{passive:!0}:!1);function k(M,g,P,T){var z=_.keyBindingMode;if(z!==!1){var O=z===\"rotate\",V=z===\"pan\",G=z===\"zoom\",Z=!!T.control,H=!!T.alt,N=!!T.shift,j=!!(M&1),re=!!(M&2),oe=!!(M&4),_e=1/v.clientHeight,Me=_e*(g-_._lastX),ke=_e*(P-_._lastY),me=_.flipX?1:-1,ie=_.flipY?1:-1,Se=Math.PI*_.rotateSpeed,Le=s();if(_._lastX!==-1&&_._lastY!==-1&&((O&&j&&!Z&&!H&&!N||j&&!Z&&!H&&N)&&p.rotate(Le,me*Se*Me,-ie*Se*ke,0),(V&&j&&!Z&&!H&&!N||re||j&&Z&&!H&&!N)&&p.pan(Le,-_.translateSpeed*Me*E,_.translateSpeed*ke*E,0),G&&j&&!Z&&!H&&!N||oe||j&&!Z&&H&&!N)){var Ae=-_.zoomSpeed*ke/window.innerHeight*(Le-p.lastT())*100;p.pan(Le,0,0,E*(Math.exp(Ae)-1))}return _._lastX=g,_._lastY=P,_._lastMods=T,!0}}_.wheelListener=c(v,function(M,g){if(_.keyBindingMode!==!1&&_.enableWheel){var P=_.flipX?1:-1,T=_.flipY?1:-1,z=s();if(Math.abs(M)>Math.abs(g))p.rotate(z,0,0,-M*P*Math.PI*_.rotateSpeed/window.innerWidth);else if(!_._ortho){var O=-_.zoomSpeed*T*g/window.innerHeight*(z-p.lastT())/20;p.pan(z,0,0,E*(Math.exp(O)-1))}}},!0)},_.enableMouseListeners(),_}},799:function(i,a,o){var s=o(3236),l=o(9405),u=s([`precision mediump float;\n",
       "#define GLSLIFY 1\n",
       "attribute vec2 position;\n",
       "varying vec2 uv;\n",
       "void main() {\n",
       "  uv = position;\n",
       "  gl_Position = vec4(position, 0, 1);\n",
       "}`]),c=s([`precision mediump float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "uniform sampler2D accumBuffer;\n",
       "varying vec2 uv;\n",
       "\n",
       "void main() {\n",
       "  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\n",
       "  gl_FragColor = min(vec4(1,1,1,1), accum);\n",
       "}`]);i.exports=function(f){return l(f,u,c,null,[{name:\"position\",type:\"vec2\"}])}},4100:function(i,a,o){\"use strict\";var s=o(4437),l=o(3837),u=o(5445),c=o(4449),f=o(3589),h=o(2260),d=o(7169),v=o(351),x=o(4772),b=o(4040),p=o(799),C=o(9216)({tablet:!0,featureDetect:!0});i.exports={createScene:k,createCamera:s};function E(){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 A(g,P){var T=null;try{T=g.getContext(\"webgl\",P),T||(T=g.getContext(\"experimental-webgl\",P))}catch(z){return null}return T}function L(g){var P=Math.round(Math.log(Math.abs(g))/Math.log(10));if(P<0){var T=Math.round(Math.pow(10,-P));return Math.ceil(g*T)/T}else if(P>0){var T=Math.round(Math.pow(10,P));return Math.ceil(g/T)*T}return Math.ceil(g)}function _(g){return typeof g==\"boolean\"?g:!0}function k(g){g=g||{},g.camera=g.camera||{};var P=g.canvas;if(!P)if(P=document.createElement(\"canvas\"),g.container){var T=g.container;T.appendChild(P)}else document.body.appendChild(P);var z=g.gl;if(z||(g.glOptions&&(C=!!g.glOptions.preserveDrawingBuffer),z=A(P,g.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:C})),!z)throw new Error(\"webgl not supported\");var O=g.bounds||[[-10,-10,-10],[10,10,10]],V=new E,G=h(z,z.drawingBufferWidth,z.drawingBufferHeight,{preferFloat:!C}),Z=p(z),H=g.cameraObject&&g.cameraObject._ortho===!0||g.camera.projection&&g.camera.projection.type===\"orthographic\"||!1,N={eye:g.camera.eye||[2,0,0],center:g.camera.center||[0,0,0],up:g.camera.up||[0,1,0],zoomMin:g.camera.zoomMax||.1,zoomMax:g.camera.zoomMin||100,mode:g.camera.mode||\"turntable\",_ortho:H},j=g.axes||{},re=l(z,j);re.enable=!j.disable;var oe=g.spikes||{},_e=c(z,oe),Me=[],ke=[],me=[],ie=[],Se=!0,Pe=!0,Le=new Array(16),Ae=new Array(16),De={view:null,projection:Le,model:Ae,_ortho:!1},Pe=!0,ge=[z.drawingBufferWidth,z.drawingBufferHeight],Fe=g.cameraObject||s(P,N),ce={gl:z,contextLost:!1,pixelRatio:g.pixelRatio||1,canvas:P,selection:V,camera:Fe,axes:re,axesPixels:null,spikes:_e,bounds:O,objects:Me,shape:ge,aspect:g.aspectRatio||[1,1,1],pickRadius:g.pickRadius||10,zNear:g.zNear||.01,zFar:g.zFar||1e3,fovy:g.fovy||Math.PI/4,clearColor:g.clearColor||[0,0,0,0],autoResize:_(g.autoResize),autoBounds:_(g.autoBounds),autoScale:!!g.autoScale,autoCenter:_(g.autoCenter),clipToBounds:_(g.clipToBounds),snapToData:!!g.snapToData,onselect:g.onselect||null,onrender:g.onrender||null,onclick:g.onclick||null,cameraParams:De,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(sr){this.aspect[0]=sr.x,this.aspect[1]=sr.y,this.aspect[2]=sr.z,Pe=!0},setBounds:function(sr,wr){this.bounds[0][sr]=wr.min,this.bounds[1][sr]=wr.max},setClearColor:function(sr){this.clearColor=sr},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)}},Ze=[z.drawingBufferWidth/ce.pixelRatio|0,z.drawingBufferHeight/ce.pixelRatio|0];function ct(){if(!ce._stopped&&ce.autoResize){var sr=P.parentNode,wr=1,ur=1;sr&&sr!==document.body?(wr=sr.clientWidth,ur=sr.clientHeight):(wr=window.innerWidth,ur=window.innerHeight);var Qe=Math.ceil(wr*ce.pixelRatio)|0,Et=Math.ceil(ur*ce.pixelRatio)|0;if(Qe!==P.width||Et!==P.height){P.width=Qe,P.height=Et;var er=P.style;er.position=er.position||\"absolute\",er.left=\"0px\",er.top=\"0px\",er.width=wr+\"px\",er.height=ur+\"px\",Se=!0}}}ce.autoResize&&ct(),window.addEventListener(\"resize\",ct);function pt(){for(var sr=Me.length,wr=ie.length,ur=0;ur<wr;++ur)me[ur]=0;e:for(var ur=0;ur<sr;++ur){var Qe=Me[ur],Et=Qe.pickSlots;if(!Et){ke[ur]=-1;continue}for(var er=0;er<wr;++er)if(me[er]+Et<255){ke[ur]=er,Qe.setPickBase(me[er]+1),me[er]+=Et;continue e}var Ut=f(z,ge);ke[ur]=wr,ie.push(Ut),me.push(Et),Qe.setPickBase(1),wr+=1}for(;wr>0&&me[wr-1]===0;)me.pop(),ie.pop().dispose()}ce.update=function(sr){ce._stopped||(sr=sr||{},Se=!0,Pe=!0)},ce.add=function(sr){ce._stopped||(sr.axes=re,Me.push(sr),ke.push(-1),Se=!0,Pe=!0,pt())},ce.remove=function(sr){if(!ce._stopped){var wr=Me.indexOf(sr);wr<0||(Me.splice(wr,1),ke.pop(),Se=!0,Pe=!0,pt())}},ce.dispose=function(){if(!ce._stopped&&(ce._stopped=!0,window.removeEventListener(\"resize\",ct),P.removeEventListener(\"webglcontextlost\",Wt),ce.mouseListener.enabled=!1,!ce.contextLost)){re.dispose(),_e.dispose();for(var sr=0;sr<Me.length;++sr)Me[sr].dispose();G.dispose();for(var sr=0;sr<ie.length;++sr)ie[sr].dispose();Z.dispose(),z=null,re=null,_e=null,Me=[]}},ce._mouseRotating=!1,ce._prevButtons=0,ce.enableMouseListeners=function(){ce.mouseListener=v(P,function(sr,wr,ur){if(!ce._stopped){var Qe=ie.length,Et=Me.length,er=V.object;V.distance=1/0,V.mouse[0]=wr,V.mouse[1]=ur,V.object=null,V.screen=null,V.dataCoordinate=V.dataPosition=null;var Ut=!1;if(sr&&ce._prevButtons)ce._mouseRotating=!0;else{ce._mouseRotating&&(Pe=!0),ce._mouseRotating=!1;for(var Ft=0;Ft<Qe;++Ft){var bt=ie[Ft].query(wr,Ze[1]-ur-1,ce.pickRadius);if(bt){if(bt.distance>V.distance)continue;for(var yt=0;yt<Et;++yt){var Yt=Me[yt];if(ke[yt]===Ft){var lr=Yt.pick(bt);lr&&(V.buttons=sr,V.screen=bt.coord,V.distance=bt.distance,V.object=Yt,V.index=lr.distance,V.dataPosition=lr.position,V.dataCoordinate=lr.dataCoordinate,V.data=lr,Ut=!0)}}}}}er&&er!==V.object&&(er.highlight&&er.highlight(null),Se=!0),V.object&&(V.object.highlight&&V.object.highlight(V.data),Se=!0),Ut=Ut||V.object!==er,Ut&&ce.onselect&&ce.onselect(V),sr&1&&!(ce._prevButtons&1)&&ce.onclick&&ce.onclick(V),ce._prevButtons=sr}})};function Wt(){if(ce.contextLost)return!0;z.isContextLost()&&(ce.contextLost=!0,ce.mouseListener.enabled=!1,ce.selection.object=null,ce.oncontextloss&&ce.oncontextloss())}P.addEventListener(\"webglcontextlost\",Wt);function st(){if(!Wt()){z.colorMask(!0,!0,!0,!0),z.depthMask(!0),z.disable(z.BLEND),z.enable(z.DEPTH_TEST),z.depthFunc(z.LEQUAL);for(var sr=Me.length,wr=ie.length,ur=0;ur<wr;++ur){var Qe=ie[ur];Qe.shape=Ze,Qe.begin();for(var Et=0;Et<sr;++Et)if(ke[Et]===ur){var er=Me[Et];er.drawPick&&(er.pixelRatio=1,er.drawPick(De))}Qe.end()}}}var lt=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],Gt=[lt[0].slice(),lt[1].slice()];function Nt(){if(!Wt()){ct();var sr=ce.camera.tick();De.view=ce.camera.matrix,Se=Se||sr,Pe=Pe||sr,re.pixelRatio=ce.pixelRatio,_e.pixelRatio=ce.pixelRatio;var wr=Me.length,ur=lt[0],Qe=lt[1];ur[0]=ur[1]=ur[2]=1/0,Qe[0]=Qe[1]=Qe[2]=-1/0;for(var Et=0;Et<wr;++Et){var er=Me[Et];er.pixelRatio=ce.pixelRatio,er.axes=ce.axes,Se=Se||!!er.dirty,Pe=Pe||!!er.dirty;var Ut=er.bounds;if(Ut)for(var Ft=Ut[0],bt=Ut[1],yt=0;yt<3;++yt)ur[yt]=Math.min(ur[yt],Ft[yt]),Qe[yt]=Math.max(Qe[yt],bt[yt])}var Yt=ce.bounds;if(ce.autoBounds)for(var yt=0;yt<3;++yt){if(Qe[yt]<ur[yt])ur[yt]=-1,Qe[yt]=1;else{ur[yt]===Qe[yt]&&(ur[yt]-=1,Qe[yt]+=1);var lr=.05*(Qe[yt]-ur[yt]);ur[yt]=ur[yt]-lr,Qe[yt]=Qe[yt]+lr}Yt[0][yt]=ur[yt],Yt[1][yt]=Qe[yt]}for(var Tr=!1,yt=0;yt<3;++yt)Tr=Tr||Gt[0][yt]!==Yt[0][yt]||Gt[1][yt]!==Yt[1][yt],Gt[0][yt]=Yt[0][yt],Gt[1][yt]=Yt[1][yt];if(Pe=Pe||Tr,Se=Se||Tr,!!Se){if(Tr){for(var Rr=[0,0,0],Et=0;Et<3;++Et)Rr[Et]=L((Yt[1][Et]-Yt[0][Et])/10);re.autoTicks?re.update({bounds:Yt,tickSpacing:Rr}):re.update({bounds:Yt})}var ei=z.drawingBufferWidth,Wr=z.drawingBufferHeight;ge[0]=ei,ge[1]=Wr,Ze[0]=Math.max(ei/ce.pixelRatio,1)|0,Ze[1]=Math.max(Wr/ce.pixelRatio,1)|0,M(ce,H);for(var Et=0;Et<wr;++Et){var er=Me[Et];er.axesBounds=Yt,ce.clipToBounds&&(er.clipBounds=Yt)}V.object&&(ce.snapToData?_e.position=V.dataCoordinate:_e.position=V.dataPosition,_e.bounds=Yt),Pe&&(Pe=!1,st()),ce.axesPixels=u(ce.axes,De,ei,Wr),ce.onrender&&ce.onrender(),z.bindFramebuffer(z.FRAMEBUFFER,null),z.viewport(0,0,ei,Wr),ce.clearRGBA(),z.depthMask(!0),z.colorMask(!0,!0,!0,!0),z.enable(z.DEPTH_TEST),z.depthFunc(z.LEQUAL),z.disable(z.BLEND),z.disable(z.CULL_FACE);var Ur=!1;re.enable&&(Ur=Ur||re.isTransparent(),re.draw(De)),_e.axes=re,V.object&&_e.draw(De),z.disable(z.CULL_FACE);for(var Et=0;Et<wr;++Et){var er=Me[Et];er.axes=re,er.pixelRatio=ce.pixelRatio,er.isOpaque&&er.isOpaque()&&er.draw(De),er.isTransparent&&er.isTransparent()&&(Ur=!0)}if(Ur){G.shape=ge,G.bind(),z.clear(z.DEPTH_BUFFER_BIT),z.colorMask(!1,!1,!1,!1),z.depthMask(!0),z.depthFunc(z.LESS),re.enable&&re.isTransparent()&&re.drawTransparent(De);for(var Et=0;Et<wr;++Et){var er=Me[Et];er.isOpaque&&er.isOpaque()&&er.draw(De)}z.enable(z.BLEND),z.blendEquation(z.FUNC_ADD),z.blendFunc(z.ONE,z.ONE_MINUS_SRC_ALPHA),z.colorMask(!0,!0,!0,!0),z.depthMask(!1),z.clearColor(0,0,0,0),z.clear(z.COLOR_BUFFER_BIT),re.isTransparent()&&re.drawTransparent(De);for(var Et=0;Et<wr;++Et){var er=Me[Et];er.isTransparent&&er.isTransparent()&&er.drawTransparent(De)}z.bindFramebuffer(z.FRAMEBUFFER,null),z.blendFunc(z.ONE,z.ONE_MINUS_SRC_ALPHA),z.disable(z.DEPTH_TEST),Z.bind(),G.color[0].bind(0),Z.uniforms.accumBuffer=0,d(z),z.disable(z.BLEND)}Se=!1;for(var Et=0;Et<wr;++Et)Me[Et].dirty=!1}}}function $t(){ce._stopped||ce.contextLost||(Nt(),requestAnimationFrame($t))}return ce.enableMouseListeners(),$t(),ce.redraw=function(){ce._stopped||(Se=!0,Nt())},ce}function M(g,P){var T=g.bounds,z=g.cameraParams,O=z.projection,V=z.model,G=g.gl.drawingBufferWidth,Z=g.gl.drawingBufferHeight,H=g.zNear,N=g.zFar,j=g.fovy,re=G/Z;P?(b(O,-re,re,-1,1,H,N),z._ortho=!0):(x(O,j,re,H,N),z._ortho=!1);for(var oe=0;oe<16;++oe)V[oe]=0;V[15]=1;for(var _e=0,oe=0;oe<3;++oe)_e=Math.max(_e,T[1][oe]-T[0][oe]);for(var oe=0;oe<3;++oe)g.autoScale?V[5*oe]=g.aspect[oe]/(T[1][oe]-T[0][oe]):V[5*oe]=1/_e,g.autoCenter&&(V[12+oe]=-V[5*oe]*.5*(T[0][oe]+T[1][oe]))}},783:function(i){i.exports=a;function a(o,s,l,u){var c=s[0],f=s[1],h=s[2],d=s[3],v=l[0],x=l[1],b=l[2],p=l[3],C,E,A,L,_;return E=c*v+f*x+h*b+d*p,E<0&&(E=-E,v=-v,x=-x,b=-b,p=-p),1-E>1e-6?(C=Math.acos(E),A=Math.sin(C),L=Math.sin((1-u)*C)/A,_=Math.sin(u*C)/A):(L=1-u,_=u),o[0]=L*c+_*v,o[1]=L*f+_*x,o[2]=L*h+_*b,o[3]=L*d+_*p,o}},5964:function(i){\"use strict\";i.exports=function(a){return!a&&a!==0?\"\":a.toString()}},9366:function(i,a,o){\"use strict\";var s=o(4359);i.exports=u;var l={};function u(c,f,h){var d=[f.style,f.weight,f.variant,f.family].join(\"_\"),v=l[d];if(v||(v=l[d]={}),c in v)return v[c];var x={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:f.family,fontStyle:f.style,fontWeight:f.weight,fontVariant:f.variant,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0}};x.triangles=!0;var b=s(c,x);x.triangles=!1;var p=s(c,x),C,E;if(h&&h!==1){for(C=0;C<b.positions.length;++C)for(E=0;E<b.positions[C].length;++E)b.positions[C][E]/=h;for(C=0;C<p.positions.length;++C)for(E=0;E<p.positions[C].length;++E)p.positions[C][E]/=h}var A=[[1/0,1/0],[-1/0,-1/0]],L=p.positions.length;for(C=0;C<L;++C){var _=p.positions[C];for(E=0;E<2;++E)A[0][E]=Math.min(A[0][E],_[E]),A[1][E]=Math.max(A[1][E],_[E])}return v[c]=[b,p,A]}},1283:function(i,a,o){var s=o(9405),l=o(3236),u=l([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "bool outOfRange(float a, float b, float p) {\n",
       "  return ((p > max(a, b)) || \n",
       "          (p < min(a, b)));\n",
       "}\n",
       "\n",
       "bool 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",
       "\n",
       "bool 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",
       "\n",
       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
       "}\n",
       "\n",
       "attribute vec3 position;\n",
       "attribute vec4 color;\n",
       "attribute vec2 glyph;\n",
       "attribute vec4 id;\n",
       "\n",
       "uniform vec4 highlightId;\n",
       "uniform float highlightScale;\n",
       "uniform mat4 model, view, projection;\n",
       "uniform vec3 clipBounds[2];\n",
       "\n",
       "varying vec4 interpColor;\n",
       "varying vec4 pickId;\n",
       "varying vec3 dataCoordinate;\n",
       "\n",
       "void 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",
       "}`]),c=l([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "bool outOfRange(float a, float b, float p) {\n",
       "  return ((p > max(a, b)) || \n",
       "          (p < min(a, b)));\n",
       "}\n",
       "\n",
       "bool 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",
       "\n",
       "bool 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",
       "\n",
       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
       "}\n",
       "\n",
       "attribute vec3 position;\n",
       "attribute vec4 color;\n",
       "attribute vec2 glyph;\n",
       "attribute vec4 id;\n",
       "\n",
       "uniform mat4 model, view, projection;\n",
       "uniform vec2 screenSize;\n",
       "uniform vec3 clipBounds[2];\n",
       "uniform float highlightScale, pixelRatio;\n",
       "uniform vec4 highlightId;\n",
       "\n",
       "varying vec4 interpColor;\n",
       "varying vec4 pickId;\n",
       "varying vec3 dataCoordinate;\n",
       "\n",
       "void 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",
       "}`]),f=l([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "bool outOfRange(float a, float b, float p) {\n",
       "  return ((p > max(a, b)) || \n",
       "          (p < min(a, b)));\n",
       "}\n",
       "\n",
       "bool 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",
       "\n",
       "bool 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",
       "\n",
       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
       "}\n",
       "\n",
       "attribute vec3 position;\n",
       "attribute vec4 color;\n",
       "attribute vec2 glyph;\n",
       "attribute vec4 id;\n",
       "\n",
       "uniform float highlightScale;\n",
       "uniform vec4 highlightId;\n",
       "uniform vec3 axes[2];\n",
       "uniform mat4 model, view, projection;\n",
       "uniform vec2 screenSize;\n",
       "uniform vec3 clipBounds[2];\n",
       "uniform float scale, pixelRatio;\n",
       "\n",
       "varying vec4 interpColor;\n",
       "varying vec4 pickId;\n",
       "varying vec3 dataCoordinate;\n",
       "\n",
       "void 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",
       "`]),h=l([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "bool outOfRange(float a, float b, float p) {\n",
       "  return ((p > max(a, b)) || \n",
       "          (p < min(a, b)));\n",
       "}\n",
       "\n",
       "bool 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",
       "\n",
       "bool 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",
       "\n",
       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
       "}\n",
       "\n",
       "uniform vec3 fragClipBounds[2];\n",
       "uniform float opacity;\n",
       "\n",
       "varying vec4 interpColor;\n",
       "varying vec3 dataCoordinate;\n",
       "\n",
       "void main() {\n",
       "  if (\n",
       "    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\n",
       "    interpColor.a * opacity == 0.\n",
       "  ) discard;\n",
       "  gl_FragColor = interpColor * opacity;\n",
       "}\n",
       "`]),d=l([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "bool outOfRange(float a, float b, float p) {\n",
       "  return ((p > max(a, b)) || \n",
       "          (p < min(a, b)));\n",
       "}\n",
       "\n",
       "bool 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",
       "\n",
       "bool 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",
       "\n",
       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
       "}\n",
       "\n",
       "uniform vec3 fragClipBounds[2];\n",
       "uniform float pickGroup;\n",
       "\n",
       "varying vec4 pickId;\n",
       "varying vec3 dataCoordinate;\n",
       "\n",
       "void main() {\n",
       "  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\n",
       "\n",
       "  gl_FragColor = vec4(pickGroup, pickId.bgr);\n",
       "}`]),v=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],x={vertex:u,fragment:h,attributes:v},b={vertex:c,fragment:h,attributes:v},p={vertex:f,fragment:h,attributes:v},C={vertex:u,fragment:d,attributes:v},E={vertex:c,fragment:d,attributes:v},A={vertex:f,fragment:d,attributes:v};function L(_,k){var M=s(_,k),g=M.attributes;return g.position.location=0,g.color.location=1,g.glyph.location=2,g.id.location=3,M}a.createPerspective=function(_){return L(_,x)},a.createOrtho=function(_){return L(_,b)},a.createProject=function(_){return L(_,p)},a.createPickPerspective=function(_){return L(_,C)},a.createPickOrtho=function(_){return L(_,E)},a.createPickProject=function(_){return L(_,A)}},8418:function(i,a,o){\"use strict\";var s=o(5219),l=o(2762),u=o(8116),c=o(1888),f=o(6760),h=o(1283),d=o(9366),v=o(5964),x=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],b=ArrayBuffer,p=DataView;function C(Ae){return b.isView(Ae)&&!(Ae instanceof p)}function E(Ae){return Array.isArray(Ae)||C(Ae)}i.exports=Le;function A(Ae,De){var Pe=Ae[0],ge=Ae[1],Fe=Ae[2],ce=Ae[3];return Ae[0]=De[0]*Pe+De[4]*ge+De[8]*Fe+De[12]*ce,Ae[1]=De[1]*Pe+De[5]*ge+De[9]*Fe+De[13]*ce,Ae[2]=De[2]*Pe+De[6]*ge+De[10]*Fe+De[14]*ce,Ae[3]=De[3]*Pe+De[7]*ge+De[11]*Fe+De[15]*ce,Ae}function L(Ae,De,Pe,ge){return A(ge,ge,Pe),A(ge,ge,De),A(ge,ge,Ae)}function _(Ae,De){this.index=Ae,this.dataCoordinate=this.position=De}function k(Ae){return Ae===!0||Ae>1?1:Ae}function 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Ae=0;Ae<3;++Ae)if(this.axesProject[Ae]&&this.projectHasAlpha)return!0;return!1},g.isOpaque=function(){if(!this.hasAlpha)return!0;for(var Ae=0;Ae<3;++Ae)if(this.axesProject[Ae]&&!this.projectHasAlpha)return!0;return!1};var P=[0,0],T=[0,0,0],z=[0,0,0],O=[0,0,0,1],V=[0,0,0,1],G=x.slice(),Z=[0,0,0],H=[[0,0,0],[0,0,0]];function N(Ae){return Ae[0]=Ae[1]=Ae[2]=0,Ae}function j(Ae,De){return Ae[0]=De[0],Ae[1]=De[1],Ae[2]=De[2],Ae[3]=1,Ae}function re(Ae,De,Pe,ge){return Ae[0]=De[0],Ae[1]=De[1],Ae[2]=De[2],Ae[Pe]=ge,Ae}function oe(Ae){for(var De=H,Pe=0;Pe<2;++Pe)for(var ge=0;ge<3;++ge)De[Pe][ge]=Math.max(Math.min(Ae[Pe][ge],1e8),-1e8);return De}function _e(Ae,De,Pe,ge){var Fe=De.axesProject,ce=De.gl,Ze=Ae.uniforms,ct=Pe.model||x,pt=Pe.view||x,Wt=Pe.projection||x,st=De.axesBounds,lt=oe(De.clipBounds),Gt;De.axes&&De.axes.lastCubeProps?Gt=De.axes.lastCubeProps.axis:Gt=[1,1,1],P[0]=2/ce.drawingBufferWidth,P[1]=2/ce.drawingBufferHeight,Ae.bind(),Ze.view=pt,Ze.projection=Wt,Ze.screenSize=P,Ze.highlightId=De.highlightId,Ze.highlightScale=De.highlightScale,Ze.clipBounds=lt,Ze.pickGroup=De.pickId/255,Ze.pixelRatio=ge;for(var Nt=0;Nt<3;++Nt)if(Fe[Nt]){Ze.scale=De.projectScale[Nt],Ze.opacity=De.projectOpacity[Nt];for(var $t=G,sr=0;sr<16;++sr)$t[sr]=0;for(var sr=0;sr<4;++sr)$t[5*sr]=1;$t[5*Nt]=0,Gt[Nt]<0?$t[12+Nt]=st[0][Nt]:$t[12+Nt]=st[1][Nt],f($t,ct,$t),Ze.model=$t;var wr=(Nt+1)%3,ur=(Nt+2)%3,Qe=N(T),Et=N(z);Qe[wr]=1,Et[ur]=1;var er=L(Wt,pt,ct,j(O,Qe)),Ut=L(Wt,pt,ct,j(V,Et));if(Math.abs(er[1])>Math.abs(Ut[1])){var Ft=er;er=Ut,Ut=Ft,Ft=Qe,Qe=Et,Et=Ft;var bt=wr;wr=ur,ur=bt}er[0]<0&&(Qe[wr]=-1),Ut[1]>0&&(Et[ur]=-1);for(var yt=0,Yt=0,sr=0;sr<4;++sr)yt+=Math.pow(ct[4*wr+sr],2),Yt+=Math.pow(ct[4*ur+sr],2);Qe[wr]/=Math.sqrt(yt),Et[ur]/=Math.sqrt(Yt),Ze.axes[0]=Qe,Ze.axes[1]=Et,Ze.fragClipBounds[0]=re(Z,lt[0],Nt,-1e8),Ze.fragClipBounds[1]=re(Z,lt[1],Nt,1e8),De.vao.bind(),De.vao.draw(ce.TRIANGLES,De.vertexCount),De.lineWidth>0&&(ce.lineWidth(De.lineWidth*ge),De.vao.draw(ce.LINES,De.lineVertexCount,De.vertexCount)),De.vao.unbind()}}var Me=[-1e8,-1e8,-1e8],ke=[1e8,1e8,1e8],me=[Me,ke];function ie(Ae,De,Pe,ge,Fe,ce,Ze){var ct=Pe.gl;if((ce===Pe.projectHasAlpha||Ze)&&_e(De,Pe,ge,Fe),ce===Pe.hasAlpha||Ze){Ae.bind();var pt=Ae.uniforms;pt.model=ge.model||x,pt.view=ge.view||x,pt.projection=ge.projection||x,P[0]=2/ct.drawingBufferWidth,P[1]=2/ct.drawingBufferHeight,pt.screenSize=P,pt.highlightId=Pe.highlightId,pt.highlightScale=Pe.highlightScale,pt.fragClipBounds=me,pt.clipBounds=Pe.axes.bounds,pt.opacity=Pe.opacity,pt.pickGroup=Pe.pickId/255,pt.pixelRatio=Fe,Pe.vao.bind(),Pe.vao.draw(ct.TRIANGLES,Pe.vertexCount),Pe.lineWidth>0&&(ct.lineWidth(Pe.lineWidth*Fe),Pe.vao.draw(ct.LINES,Pe.lineVertexCount,Pe.vertexCount)),Pe.vao.unbind()}}g.draw=function(Ae){var De=this.useOrtho?this.orthoShader:this.shader;ie(De,this.projectShader,this,Ae,this.pixelRatio,!1,!1)},g.drawTransparent=function(Ae){var De=this.useOrtho?this.orthoShader:this.shader;ie(De,this.projectShader,this,Ae,this.pixelRatio,!0,!1)},g.drawPick=function(Ae){var De=this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader;ie(De,this.pickProjectShader,this,Ae,1,!0,!0)},g.pick=function(Ae){if(!Ae||Ae.id!==this.pickId)return null;var De=Ae.value[2]+(Ae.value[1]<<8)+(Ae.value[0]<<16);if(De>=this.pointCount||De<0)return null;var Pe=this.points[De],ge=this._selectResult;ge.index=De;for(var Fe=0;Fe<3;++Fe)ge.position[Fe]=ge.dataCoordinate[Fe]=Pe[Fe];return ge},g.highlight=function(Ae){if(!Ae)this.highlightId=[1,1,1,1];else{var De=Ae.index,Pe=De&255,ge=De>>8&255,Fe=De>>16&255;this.highlightId=[Pe/255,ge/255,Fe/255,0]}};function Se(Ae,De,Pe,ge){var Fe;E(Ae)?De<Ae.length?Fe=Ae[De]:Fe=void 0:Fe=Ae,Fe=v(Fe);var ce=!0;s(Fe)&&(Fe=\"\\u25BC\",ce=!1),Pe||(Pe={});var Ze=Pe.family;E(Ze)&&(Ze=Ze[De]),Ze||(Ze=\"normal\");var ct=Pe.weight;E(ct)&&(ct=ct[De]),ct||(ct=\"normal\");var pt=Pe.style;E(pt)&&(pt=pt[De]),pt||(pt=\"normal\");var Wt=Pe.variant;E(Wt)&&(Wt=Wt[De]),Wt||(Wt=\"normal\");var st=d(Fe,{family:Ze,weight:ct,style:pt,variant:Wt},ge),st=d(Fe,Pe,ge);return{mesh:st[0],lines:st[1],bounds:st[2],visible:ce}}g.update=function(Ae){if(Ae=Ae||{},\"perspective\"in Ae&&(this.useOrtho=!Ae.perspective),\"orthographic\"in 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Fe=Ae.position,ce={family:Ae.font||\"normal\",style:Ae.fontStyle||\"normal\",weight:Ae.fontWeight||\"normal\",variant:Ae.fontVariant||\"normal\"},Ze=Ae.alignment||[0,0],ct,pt;if(Ze.length===2)ct=Ze[0],pt=Ze[1];else{ct=[],pt=[];for(var ge=0;ge<Ze.length;++ge)ct[ge]=Ze[ge][0],pt[ge]=Ze[ge][1]}var Wt=[1/0,1/0,1/0],st=[-1/0,-1/0,-1/0],lt=Ae.glyph,Gt=Ae.color,Nt=Ae.size,$t=Ae.angle,sr=Ae.lineColor,wr=-1,ur=0,Qe=0,Et=0;if(Fe.length){Et=Fe.length;e:for(var ge=0;ge<Et;++ge){for(var er=Fe[ge],Ut=0;Ut<3;++Ut)if(isNaN(er[Ut])||!isFinite(er[Ut]))continue e;var Ft=Se(lt,ge,ce,this.pixelRatio),bt=Ft.mesh,yt=Ft.lines,Yt=Ft.bounds;ur+=bt.cells.length*3,Qe+=yt.edges.length*2}}var lr=ur+Qe,Tr=c.mallocFloat(3*lr),Rr=c.mallocFloat(4*lr),ei=c.mallocFloat(2*lr),Wr=c.mallocUint32(lr);if(lr>0){var Ur=0,dt=ur,Ge=[0,0,0,1],Je=[0,0,0,1],je=E(Gt)&&E(Gt[0]),$e=E(sr)&&E(sr[0]);e:for(var ge=0;ge<Et;++ge){wr+=1;for(var er=Fe[ge],Ut=0;Ut<3;++Ut){if(isNaN(er[Ut])||!isFinite(er[Ut]))continue 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vt=Math.cos(Ce),nr=Math.sin(Ce),er=Fe[ge],Ut=0;Ut<3;++Ut)st[Ut]=Math.max(st[Ut],er[Ut]),Wt[Ut]=Math.min(Wt[Ut],er[Ut]);var ir=ct,pr=pt,ir=0;E(ct)?ge<ct.length?ir=ct[ge]:ir=0:ct&&(ir=ct);var pr=0;E(pt)?ge<pt.length?pr=pt[ge]:pr=0:pt&&(pr=pt),ir*=ir>0?1-Yt[0][0]:ir<0?1+Yt[1][0]:1,pr*=pr>0?1-Yt[0][1]:pr<0?1+Yt[1][1]:1;for(var oi=[ir,pr],Pn=bt.cells||[],wn=bt.positions||[],Ut=0;Ut<Pn.length;++Ut)for(var di=Pn[Ut],Jr=0;Jr<3;++Jr){for(var fi=0;fi<3;++fi)Tr[3*Ur+fi]=er[fi];for(var fi=0;fi<4;++fi)Rr[4*Ur+fi]=Ge[fi];Wr[Ur]=wr;var Hi=wn[di[Jr]];ei[2*Ur]=xe*(vt*Hi[0]-nr*Hi[1]+oi[0]),ei[2*Ur+1]=xe*(nr*Hi[0]+vt*Hi[1]+oi[1]),Ur+=1}for(var Pn=yt.edges,wn=yt.positions,Ut=0;Ut<Pn.length;++Ut)for(var di=Pn[Ut],Jr=0;Jr<2;++Jr){for(var fi=0;fi<3;++fi)Tr[3*dt+fi]=er[fi];for(var fi=0;fi<4;++fi)Rr[4*dt+fi]=Je[fi];Wr[dt]=wr;var Hi=wn[di[Jr]];ei[2*dt]=xe*(vt*Hi[0]-nr*Hi[1]+oi[0]),ei[2*dt+1]=xe*(nr*Hi[0]+vt*Hi[1]+oi[1]),dt+=1}}}this.bounds=[Wt,st],this.points=Fe,this.pointCount=Fe.length,this.vertexCount=ur,this.lineVertexCount=Qe,this.pointBuffer.update(Tr),this.colorBuffer.update(Rr),this.glyphBuffer.update(ei),this.idBuffer.update(Wr),c.free(Tr),c.free(Rr),c.free(ei),c.free(Wr)},g.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()};function Le(Ae){var 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A=Math.min(Math.max(b-C,0),E[0])|0,L=Math.min(Math.max(b+C,0),E[0])|0,_=Math.min(Math.max(p-C,0),E[1])|0,k=Math.min(Math.max(p+C,0),E[1])|0;if(L<=A||k<=_)return null;var M=[L-A,k-_],g=u(this.buffer,[M[0],M[1],4],[4,E[0]*4,1],4*(A+E[0]*_)),P=f(g.hi(M[0],M[1],1),C,C),T=P[0],z=P[1];if(T<0||Math.pow(this.radius,2)<P[2])return null;var O=g.get(T,z,0),V=g.get(T,z,1),G=g.get(T,z,2),Z=g.get(T,z,3);return new h(T+A|0,z+_|0,O,[V,G,Z],Math.sqrt(P[2]))},v.dispose=function(){this.gl&&(this.fbo.dispose(),l.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))};function x(b,p){var C=p[0],E=p[1],A={},L=s(b,C,E,A),_=l.mallocUint8(C*E*4);return new d(b,L,_)}},9405:function(i,a,o){\"use strict\";var s=o(3327),l=o(8731),u=o(216),c=o(5091),f=o(2145),h=o(8866);function d(p){this.gl=p,this.gl.lastAttribCount=0,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}var v=d.prototype;v.bind=function(){this.program||this._relink();var p,C=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),E=this.gl.lastAttribCount;if(C>E)for(p=E;p<C;p++)this.gl.enableVertexAttribArray(p);else if(E>C)for(p=C;p<E;p++)this.gl.disableVertexAttribArray(p);this.gl.lastAttribCount=C,this.gl.useProgram(this.program)},v.dispose=function(){for(var p=this.gl.lastAttribCount,C=0;C<p;C++)this.gl.disableVertexAttribArray(C);this.gl.lastAttribCount=0,this._fref&&this._fref.dispose(),this._vref&&this._vref.dispose(),this.attributes=this.types=this.vertShader=this.fragShader=this.program=this._relink=this._fref=this._vref=null};function x(p,C){return p.name<C.name?-1:1}v.update=function(p,C,E,A){if(!C||arguments.length===1){var L=p;p=L.vertex,C=L.fragment,E=L.uniforms,A=L.attributes}var _=this,k=_.gl,M=_._vref;_._vref=c.shader(k,k.VERTEX_SHADER,p),M&&M.dispose(),_.vertShader=_._vref.shader;var g=this._fref;if(_._fref=c.shader(k,k.FRAGMENT_SHADER,C),g&&g.dispose(),_.fragShader=_._fref.shader,!E||!A){var P=k.createProgram();if(k.attachShader(P,_.fragShader),k.attachShader(P,_.vertShader),k.linkProgram(P),!k.getProgramParameter(P,k.LINK_STATUS)){var T=k.getProgramInfoLog(P);throw new h(T,\"Error linking program:\"+T)}E=E||f.uniforms(k,P),A=A||f.attributes(k,P),k.deleteProgram(P)}A=A.slice(),A.sort(x);var z=[],O=[],V=[],G;for(G=0;G<A.length;++G){var Z=A[G];if(Z.type.indexOf(\"mat\")>=0){for(var H=Z.type.charAt(Z.type.length-1)|0,N=new Array(H),j=0;j<H;++j)N[j]=V.length,O.push(Z.name+\"[\"+j+\"]\"),typeof Z.location==\"number\"?V.push(Z.location+j):Array.isArray(Z.location)&&Z.location.length===H&&typeof Z.location[j]==\"number\"?V.push(Z.location[j]|0):V.push(-1);z.push({name:Z.name,type:Z.type,locations:N})}else z.push({name:Z.name,type:Z.type,locations:[V.length]}),O.push(Z.name),typeof Z.location==\"number\"?V.push(Z.location|0):V.push(-1)}var 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       "`+M)}throw new s(M,g.short,g.long)}return k}v.getShaderReference=function(A,L){var _=this.gl,k=this.shaders[A===_.FRAGMENT_SHADER|0],M=k[L];if(!M||!_.isShader(M.shader)){var g=x(_,A,L);M=k[L]=new h(f++,L,A,g,[],1,this)}else M.count+=1;return M};function b(A,L,_,k,M){var g=A.createProgram();A.attachShader(g,L),A.attachShader(g,_);for(var P=0;P<k.length;++P)A.bindAttribLocation(g,M[P],k[P]);if(A.linkProgram(g),!A.getProgramParameter(g,A.LINK_STATUS)){var T=A.getProgramInfoLog(g);throw new s(T,\"Error linking program: \"+T)}return g}v.getProgram=function(A,L,_,k){var M=[A.id,L.id,_.join(\":\"),k.join(\":\")].join(\"@\"),g=this.programs[M];return(!g||!this.gl.isProgram(g))&&(this.programs[M]=g=b(this.gl,A.shader,L.shader,_,k),A.programs.push(M),L.programs.push(M)),g};function p(A){var L=c.get(A);return L||(L=new d(A),c.set(A,L)),L}function C(A,L,_){return p(A).getShaderReference(L,_)}function E(A,L,_,k,M){return p(A).getProgram(L,_,k,M)}},1493:function(i,a,o){\"use strict\";var s=o(3236),l=o(9405),u=s([`precision mediump float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "attribute vec3 position, color;\n",
       "attribute float weight;\n",
       "\n",
       "uniform mat4 model, view, projection;\n",
       "uniform vec3 coordinates[3];\n",
       "uniform vec4 colors[3];\n",
       "uniform vec2 screenShape;\n",
       "uniform float lineWidth;\n",
       "\n",
       "varying vec4 fragColor;\n",
       "\n",
       "void main() {\n",
       "  vec3 vertexPosition = mix(coordinates[0],\n",
       "    mix(coordinates[2], coordinates[1], 0.5 * (position + 1.0)), abs(position));\n",
       "\n",
       "  vec4 clipPos = projection * (view * (model * vec4(vertexPosition, 1.0)));\n",
       "  vec2 clipOffset = (projection * (view * (model * vec4(color, 0.0)))).xy;\n",
       "  vec2 delta = weight * clipOffset * screenShape;\n",
       "  vec2 lineOffset = normalize(vec2(delta.y, -delta.x)) / screenShape;\n",
       "\n",
       "  gl_Position   = vec4(clipPos.xy + clipPos.w * 0.5 * lineWidth * lineOffset, clipPos.z, clipPos.w);\n",
       "  fragColor     = color.x * colors[0] + color.y * colors[1] + color.z * colors[2];\n",
       "}\n",
       "`]),c=s([`precision mediump float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "varying vec4 fragColor;\n",
       "\n",
       "void main() {\n",
       "  gl_FragColor = fragColor;\n",
       "}`]);i.exports=function(f){return l(f,u,c,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec3\"},{name:\"weight\",type:\"float\"}])}},4449:function(i,a,o){\"use strict\";var s=o(2762),l=o(8116),u=o(1493);i.exports=b;var c=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(p,C,E,A){this.gl=p,this.buffer=C,this.vao=E,this.shader=A,this.pixelRatio=1,this.bounds=[[-1e3,-1e3,-1e3],[1e3,1e3,1e3]],this.position=[0,0,0],this.lineWidth=[2,2,2],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.enabled=[!0,!0,!0],this.drawSides=[!0,!0,!0],this.axes=null}var h=f.prototype,d=[0,0,0],v=[0,0,0],x=[0,0];h.isTransparent=function(){return!1},h.drawTransparent=function(p){},h.draw=function(p){var C=this.gl,E=this.vao,A=this.shader;E.bind(),A.bind();var L=p.model||c,_=p.view||c,k=p.projection||c,M;this.axes&&(M=this.axes.lastCubeProps.axis);for(var g=d,P=v,T=0;T<3;++T)M&&M[T]<0?(g[T]=this.bounds[0][T],P[T]=this.bounds[1][T]):(g[T]=this.bounds[1][T],P[T]=this.bounds[0][T]);x[0]=C.drawingBufferWidth,x[1]=C.drawingBufferHeight,A.uniforms.model=L,A.uniforms.view=_,A.uniforms.projection=k,A.uniforms.coordinates=[this.position,g,P],A.uniforms.colors=this.colors,A.uniforms.screenShape=x;for(var T=0;T<3;++T)A.uniforms.lineWidth=this.lineWidth[T]*this.pixelRatio,this.enabled[T]&&(E.draw(C.TRIANGLES,6,6*T),this.drawSides[T]&&E.draw(C.TRIANGLES,12,18+12*T));E.unbind()},h.update=function(p){p&&(\"bounds\"in p&&(this.bounds=p.bounds),\"position\"in p&&(this.position=p.position),\"lineWidth\"in p&&(this.lineWidth=p.lineWidth),\"colors\"in p&&(this.colors=p.colors),\"enabled\"in p&&(this.enabled=p.enabled),\"drawSides\"in p&&(this.drawSides=p.drawSides))},h.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()};function b(p,C){var E=[];function A(g,P,T,z,O,V){var G=[g,P,T,0,0,0,1];G[z+3]=1,G[z]=O,E.push.apply(E,G),G[6]=-1,E.push.apply(E,G),G[z]=V,E.push.apply(E,G),E.push.apply(E,G),G[6]=1,E.push.apply(E,G),G[z]=O,E.push.apply(E,G)}A(0,0,0,0,0,1),A(0,0,0,1,0,1),A(0,0,0,2,0,1),A(1,0,0,1,-1,1),A(1,0,0,2,-1,1),A(0,1,0,0,-1,1),A(0,1,0,2,-1,1),A(0,0,1,0,-1,1),A(0,0,1,1,-1,1);var L=s(p,E),_=l(p,[{type:p.FLOAT,buffer:L,size:3,offset:0,stride:28},{type:p.FLOAT,buffer:L,size:3,offset:12,stride:28},{type:p.FLOAT,buffer:L,size:1,offset:24,stride:28}]),k=u(p);k.attributes.position.location=0,k.attributes.color.location=1,k.attributes.weight.location=2;var M=new f(p,L,_,k);return M.update(C),M}},6740:function(i,a,o){var s=o(3236),l=s([`precision highp float;\n",
       "\n",
       "precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "vec3 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",
       "//\n",
       "vec3 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",
       "\n",
       "attribute vec4 vector;\n",
       "attribute vec4 color, position;\n",
       "attribute vec2 uv;\n",
       "\n",
       "uniform float vectorScale, tubeScale;\n",
       "uniform mat4 model, view, projection, inverseModel;\n",
       "uniform vec3 eyePosition, lightPosition;\n",
       "\n",
       "varying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\n",
       "varying vec4 f_color;\n",
       "varying vec2 f_uv;\n",
       "\n",
       "void 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",
       "`]),u=s([`#extension GL_OES_standard_derivatives : enable\n",
       "\n",
       "precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "float 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",
       "\n",
       "float 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",
       "bool outOfRange(float a, float b, float p) {\n",
       "  return ((p > max(a, b)) || \n",
       "          (p < min(a, b)));\n",
       "}\n",
       "\n",
       "bool 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",
       "\n",
       "bool 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",
       "\n",
       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
       "}\n",
       "\n",
       "uniform vec3 clipBounds[2];\n",
       "uniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\n",
       "uniform sampler2D texture;\n",
       "\n",
       "varying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\n",
       "varying vec4 f_color;\n",
       "varying vec2 f_uv;\n",
       "\n",
       "void 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",
       "`]),c=s([`precision highp float;\n",
       "\n",
       "precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "vec3 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",
       "//\n",
       "vec3 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",
       "\n",
       "attribute vec4 vector;\n",
       "attribute vec4 position;\n",
       "attribute vec4 id;\n",
       "\n",
       "uniform mat4 model, view, projection;\n",
       "uniform float tubeScale;\n",
       "\n",
       "varying vec3 f_position;\n",
       "varying vec4 f_id;\n",
       "\n",
       "void 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",
       "`]),f=s([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "bool outOfRange(float a, float b, float p) {\n",
       "  return ((p > max(a, b)) || \n",
       "          (p < min(a, b)));\n",
       "}\n",
       "\n",
       "bool 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",
       "\n",
       "bool 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",
       "\n",
       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
       "}\n",
       "\n",
       "uniform vec3  clipBounds[2];\n",
       "uniform float pickId;\n",
       "\n",
       "varying vec3 f_position;\n",
       "varying vec4 f_id;\n",
       "\n",
       "void main() {\n",
       "  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n",
       "\n",
       "  gl_FragColor = vec4(pickId, f_id.xyz);\n",
       "}`]);a.meshShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},a.pickShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},7815:function(i,a,o){\"use strict\";var s=o(2931),l=o(9970),u=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],c=function(A,L,_,k){for(var M=A.points,g=A.velocities,P=A.divergences,T=[],z=[],O=[],V=[],G=[],Z=[],H=0,N=0,j=l.create(),re=l.create(),oe=8,_e=0;_e<M.length;_e++){var Me=M[_e],ke=g[_e],me=P[_e];L===0&&(me=_*.05),N=s.length(ke)/k,j=l.create(),s.copy(j,ke),j[3]=me;for(var ie=0;ie<oe;ie++)G[ie]=[Me[0],Me[1],Me[2],ie];if(V.length>0)for(var ie=0;ie<oe;ie++){var Se=(ie+1)%oe;T.push(V[ie],G[ie],G[Se],G[Se],V[Se],V[ie]),O.push(re,j,j,j,re,re),Z.push(H,N,N,N,H,H);var Le=T.length;z.push([Le-6,Le-5,Le-4],[Le-3,Le-2,Le-1])}var Ae=V;V=G,G=Ae;var De=re;re=j,j=De;var Pe=H;H=N,N=Pe}return{positions:T,cells:z,vectors:O,vertexIntensity:Z}},f=function(A,L,_,k){for(var M=0,g=0;g<A.length;g++)for(var P=A[g].velocities,T=0;T<P.length;T++)M=Math.max(M,s.length(P[T]));for(var z=A.map(function(_e){return c(_e,_,k,M)}),O=[],V=[],G=[],Z=[],g=0;g<z.length;g++){var H=z[g],N=O.length;O=O.concat(H.positions),G=G.concat(H.vectors),Z=Z.concat(H.vertexIntensity);for(var T=0;T<H.cells.length;T++){var j=H.cells[T],re=[];V.push(re);for(var oe=0;oe<j.length;oe++)re.push(j[oe]+N)}}return{positions:O,cells:V,vectors:G,vertexIntensity:Z,colormap:L}},h=function(A,L){var _=A.length,k;for(k=0;k<_;k++){var M=A[k];if(M===L)return k;if(M>L)return k-1}return k},d=function(A,L,_){return A<L?L:A>_?_:A},v=function(A,L,_){var k=L.vectors,M=L.meshgrid,g=A[0],P=A[1],T=A[2],z=M[0].length,O=M[1].length,V=M[2].length,G=h(M[0],g),Z=h(M[1],P),H=h(M[2],T),N=G+1,j=Z+1,re=H+1;if(G=d(G,0,z-1),N=d(N,0,z-1),Z=d(Z,0,O-1),j=d(j,0,O-1),H=d(H,0,V-1),re=d(re,0,V-1),G<0||Z<0||H<0||N>z-1||j>O-1||re>V-1)return s.create();var oe=M[0][G],_e=M[0][N],Me=M[1][Z],ke=M[1][j],me=M[2][H],ie=M[2][re],Se=(g-oe)/(_e-oe),Le=(P-Me)/(ke-Me),Ae=(T-me)/(ie-me);isFinite(Se)||(Se=.5),isFinite(Le)||(Le=.5),isFinite(Ae)||(Ae=.5);var De,Pe,ge,Fe,ce,Ze;switch(_.reversedX&&(G=z-1-G,N=z-1-N),_.reversedY&&(Z=O-1-Z,j=O-1-j),_.reversedZ&&(H=V-1-H,re=V-1-re),_.filled){case 5:ce=H,Ze=re,ge=Z*V,Fe=j*V,De=G*V*O,Pe=N*V*O;break;case 4:ce=H,Ze=re,De=G*V,Pe=N*V,ge=Z*V*z,Fe=j*V*z;break;case 3:ge=Z,Fe=j,ce=H*O,Ze=re*O,De=G*O*V,Pe=N*O*V;break;case 2:ge=Z,Fe=j,De=G*O,Pe=N*O,ce=H*O*z,Ze=re*O*z;break;case 1:De=G,Pe=N,ce=H*z,Ze=re*z,ge=Z*z*V,Fe=j*z*V;break;default:De=G,Pe=N,ge=Z*z,Fe=j*z,ce=H*z*O,Ze=re*z*O;break}var ct=k[De+ge+ce],pt=k[De+ge+Ze],Wt=k[De+Fe+ce],st=k[De+Fe+Ze],lt=k[Pe+ge+ce],Gt=k[Pe+ge+Ze],Nt=k[Pe+Fe+ce],$t=k[Pe+Fe+Ze],sr=s.create(),wr=s.create(),ur=s.create(),Qe=s.create();s.lerp(sr,ct,lt,Se),s.lerp(wr,pt,Gt,Se),s.lerp(ur,Wt,Nt,Se),s.lerp(Qe,st,$t,Se);var Et=s.create(),er=s.create();s.lerp(Et,sr,ur,Le),s.lerp(er,wr,Qe,Le);var Ut=s.create();return s.lerp(Ut,Et,er,Ae),Ut},x=function(A,L){var _=L[0],k=L[1],M=L[2];return A[0]=_<0?-_:_,A[1]=k<0?-k:k,A[2]=M<0?-M:M,A},b=function(A){var L=1/0;A.sort(function(g,P){return g-P});for(var _=A.length,k=1;k<_;k++){var M=Math.abs(A[k]-A[k-1]);M<L&&(L=M)}return L},p=function(A){for(var L=[],_=[],k=[],M={},g={},P={},T=A.length,z=0;z<T;z++){var O=A[z],V=O[0],G=O[1],Z=O[2];M[V]||(L.push(V),M[V]=!0),g[G]||(_.push(G),g[G]=!0),P[Z]||(k.push(Z),P[Z]=!0)}var H=b(L),N=b(_),j=b(k),re=Math.min(H,N,j);return isFinite(re)?re:1};i.exports=function(A,L){var _=A.startingPositions,k=A.maxLength||1e3,M=A.tubeSize||1,g=A.absoluteTubeSize,P=A.gridFill||\"+x+y+z\",T={};P.indexOf(\"-x\")!==-1&&(T.reversedX=!0),P.indexOf(\"-y\")!==-1&&(T.reversedY=!0),P.indexOf(\"-z\")!==-1&&(T.reversedZ=!0),T.filled=u.indexOf(P.replace(/-/g,\"\").replace(/\\+/g,\"\"));var z=A.getVelocity||function(Gt){return v(Gt,A,T)},O=A.getDivergence||function(Gt,Nt){var $t=s.create(),sr=1e-4;s.add($t,Gt,[sr,0,0]);var wr=z($t);s.subtract(wr,wr,Nt),s.scale(wr,wr,1/sr),s.add($t,Gt,[0,sr,0]);var ur=z($t);s.subtract(ur,ur,Nt),s.scale(ur,ur,1/sr),s.add($t,Gt,[0,0,sr]);var Qe=z($t);return s.subtract(Qe,Qe,Nt),s.scale(Qe,Qe,1/sr),s.add($t,wr,ur),s.add($t,$t,Qe),$t},V=[],G=L[0][0],Z=L[0][1],H=L[0][2],N=L[1][0],j=L[1][1],re=L[1][2],oe=function(Gt){var Nt=Gt[0],$t=Gt[1],sr=Gt[2];return!(Nt<G||Nt>N||$t<Z||$t>j||sr<H||sr>re)},_e=s.distance(L[0],L[1]),Me=10*_e/k,ke=Me*Me,me=1,ie=0,Se=_.length;Se>1&&(me=p(_));for(var Le=0;Le<Se;Le++){var Ae=s.create();s.copy(Ae,_[Le]);var De=[Ae],Pe=[],ge=z(Ae),Fe=Ae;Pe.push(ge);var ce=[],Ze=O(Ae,ge),ct=s.length(Ze);isFinite(ct)&&ct>ie&&(ie=ct),ce.push(ct),V.push({points:De,velocities:Pe,divergences:ce});for(var pt=0;pt<k*100&&De.length<k&&oe(Ae);){pt++;var Wt=s.clone(ge),st=s.squaredLength(Wt);if(st===0)break;if(st>ke&&s.scale(Wt,Wt,Me/Math.sqrt(st)),s.add(Wt,Wt,Ae),ge=z(Wt),s.squaredDistance(Fe,Wt)-ke>-1e-4*ke){De.push(Wt),Fe=Wt,Pe.push(ge);var Ze=O(Wt,ge),ct=s.length(Ze);isFinite(ct)&&ct>ie&&(ie=ct),ce.push(ct)}Ae=Wt}}var lt=f(V,A.colormap,ie,me);return g?lt.tubeScale=g:(ie===0&&(ie=1),lt.tubeScale=M*.5*me/ie),lt};var C=o(6740),E=o(6405).createMesh;i.exports.createTubeMesh=function(A,L){return E(A,L,{shaders:C,traceType:\"streamtube\"})}},990:function(i,a,o){var s=o(9405),l=o(3236),u=l([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "attribute vec4 uv;\n",
       "attribute vec3 f;\n",
       "attribute vec3 normal;\n",
       "\n",
       "uniform vec3 objectOffset;\n",
       "uniform mat4 model, view, projection, inverseModel;\n",
       "uniform vec3 lightPosition, eyePosition;\n",
       "uniform sampler2D colormap;\n",
       "\n",
       "varying float value, kill;\n",
       "varying vec3 worldCoordinate;\n",
       "varying vec2 planeCoordinate;\n",
       "varying vec3 lightDirection, eyeDirection, surfaceNormal;\n",
       "varying vec4 vColor;\n",
       "\n",
       "void 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",
       "`]),c=l([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "float 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",
       "\n",
       "float beckmannSpecular(\n",
       "  vec3 lightDirection,\n",
       "  vec3 viewDirection,\n",
       "  vec3 surfaceNormal,\n",
       "  float roughness) {\n",
       "  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\n",
       "}\n",
       "\n",
       "bool outOfRange(float a, float b, float p) {\n",
       "  return ((p > max(a, b)) || \n",
       "          (p < min(a, b)));\n",
       "}\n",
       "\n",
       "bool 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",
       "\n",
       "bool 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",
       "\n",
       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
       "}\n",
       "\n",
       "uniform vec3 lowerBound, upperBound;\n",
       "uniform float contourTint;\n",
       "uniform vec4 contourColor;\n",
       "uniform sampler2D colormap;\n",
       "uniform vec3 clipBounds[2];\n",
       "uniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\n",
       "uniform float vertexColor;\n",
       "\n",
       "varying float value, kill;\n",
       "varying vec3 worldCoordinate;\n",
       "varying vec3 lightDirection, eyeDirection, surfaceNormal;\n",
       "varying vec4 vColor;\n",
       "\n",
       "void main() {\n",
       "  if (\n",
       "    kill > 0.0 ||\n",
       "    vColor.a == 0.0 ||\n",
       "    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\n",
       "  ) discard;\n",
       "\n",
       "  vec3 N = normalize(surfaceNormal);\n",
       "  vec3 V = normalize(eyeDirection);\n",
       "  vec3 L = normalize(lightDirection);\n",
       "\n",
       "  if(gl_FrontFacing) {\n",
       "    N = -N;\n",
       "  }\n",
       "\n",
       "  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\n",
       "  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n",
       "\n",
       "  //decide how to interpolate color \\u2014 in vertex or in fragment\n",
       "  vec4 surfaceColor =\n",
       "    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\n",
       "    step(.5, vertexColor) * vColor;\n",
       "\n",
       "  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n",
       "\n",
       "  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n",
       "}\n",
       "`]),f=l([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "attribute vec4 uv;\n",
       "attribute float f;\n",
       "\n",
       "uniform vec3 objectOffset;\n",
       "uniform mat3 permutation;\n",
       "uniform mat4 model, view, projection;\n",
       "uniform float height, zOffset;\n",
       "uniform sampler2D colormap;\n",
       "\n",
       "varying float value, kill;\n",
       "varying vec3 worldCoordinate;\n",
       "varying vec2 planeCoordinate;\n",
       "varying vec3 lightDirection, eyeDirection, surfaceNormal;\n",
       "varying vec4 vColor;\n",
       "\n",
       "void 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",
       "`]),h=l([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "bool outOfRange(float a, float b, float p) {\n",
       "  return ((p > max(a, b)) || \n",
       "          (p < min(a, b)));\n",
       "}\n",
       "\n",
       "bool 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",
       "\n",
       "bool 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",
       "\n",
       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
       "}\n",
       "\n",
       "uniform vec2 shape;\n",
       "uniform vec3 clipBounds[2];\n",
       "uniform float pickId;\n",
       "\n",
       "varying float value, kill;\n",
       "varying vec3 worldCoordinate;\n",
       "varying vec2 planeCoordinate;\n",
       "varying vec3 surfaceNormal;\n",
       "\n",
       "vec2 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",
       "\n",
       "void 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",
       "`]);a.createShader=function(d){var v=s(d,u,c,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return v.attributes.uv.location=0,v.attributes.f.location=1,v.attributes.normal.location=2,v},a.createPickShader=function(d){var v=s(d,u,h,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return v.attributes.uv.location=0,v.attributes.f.location=1,v.attributes.normal.location=2,v},a.createContourShader=function(d){var v=s(d,f,c,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return v.attributes.uv.location=0,v.attributes.f.location=1,v},a.createPickContourShader=function(d){var v=s(d,f,h,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return v.attributes.uv.location=0,v.attributes.f.location=1,v}},9499:function(i,a,o){\"use strict\";i.exports=De;var s=o(8828),l=o(2762),u=o(8116),c=o(7766),f=o(1888),h=o(6729),d=o(5298),v=o(9994),x=o(9618),b=o(3711),p=o(6760),C=o(7608),E=o(2478),A=o(6199),L=o(990),_=L.createShader,k=L.createContourShader,M=L.createPickShader,g=L.createPickContourShader,P=4*10,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],z=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],O=[[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(){for(var Pe=0;Pe<3;++Pe){var ge=O[Pe],Fe=(Pe+1)%3,ce=(Pe+2)%3;ge[Fe+0]=1,ge[ce+3]=1,ge[Pe+6]=1}})();function V(Pe,ge,Fe,ce,Ze){this.position=Pe,this.index=ge,this.uv=Fe,this.level=ce,this.dataCoordinate=Ze}var G=256;function Z(Pe,ge,Fe,ce,Ze,ct,pt,Wt,st,lt,Gt,Nt,$t,sr,wr){this.gl=Pe,this.shape=ge,this.bounds=Fe,this.objectOffset=wr,this.intensityBounds=[],this._shader=ce,this._pickShader=Ze,this._coordinateBuffer=ct,this._vao=pt,this._colorMap=Wt,this._contourShader=st,this._contourPickShader=lt,this._contourBuffer=Gt,this._contourVAO=Nt,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new V([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=$t,this._dynamicVAO=sr,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=[x(f.mallocFloat(1024),[0,0]),x(f.mallocFloat(1024),[0,0]),x(f.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 H=Z.prototype;H.genColormap=function(Pe,ge){var Fe=!1,ce=v([h({colormap:Pe,nshades:G,format:\"rgba\"}).map(function(Ze,ct){var pt=ge?N(ct/255,ge):Ze[3];return pt<1&&(Fe=!0),[Ze[0],Ze[1],Ze[2],255*pt]})]);return d.divseq(ce,255),this.hasAlphaScale=Fe,ce},H.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},H.isOpaque=function(){return!this.isTransparent()},H.pickSlots=1,H.setPickBase=function(Pe){this.pickId=Pe};function N(Pe,ge){if(!ge||!ge.length)return 1;for(var Fe=0;Fe<ge.length;++Fe){if(ge.length<2)return 1;if(ge[Fe][0]===Pe)return ge[Fe][1];if(ge[Fe][0]>Pe&&Fe>0){var ce=(ge[Fe][0]-Pe)/(ge[Fe][0]-ge[Fe-1][0]);return ge[Fe][1]*(1-ce)+ce*ge[Fe-1][1]}}return 1}var j=[0,0,0],re={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 oe(Pe,ge){var Fe,ce,Ze,ct=ge.axes&&ge.axes.lastCubeProps.axis||j,pt=ge.showSurface,Wt=ge.showContour;for(Fe=0;Fe<3;++Fe)for(pt=pt||ge.surfaceProject[Fe],ce=0;ce<3;++ce)Wt=Wt||ge.contourProject[Fe][ce];for(Fe=0;Fe<3;++Fe){var st=re.projections[Fe];for(ce=0;ce<16;++ce)st[ce]=0;for(ce=0;ce<4;++ce)st[5*ce]=1;st[5*Fe]=0,st[12+Fe]=ge.axesBounds[+(ct[Fe]>0)][Fe],p(st,Pe.model,st);var lt=re.clipBounds[Fe];for(Ze=0;Ze<2;++Ze)for(ce=0;ce<3;++ce)lt[Ze][ce]=Pe.clipBounds[Ze][ce];lt[0][Fe]=-1e8,lt[1][Fe]=1e8}return re.showSurface=pt,re.showContour=Wt,re}var _e={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},Me=T.slice(),ke=[1,0,0,0,1,0,0,0,1];function me(Pe,ge){Pe=Pe||{};var Fe=this.gl;Fe.disable(Fe.CULL_FACE),this._colorMap.bind(0);var ce=_e;ce.model=Pe.model||T,ce.view=Pe.view||T,ce.projection=Pe.projection||T,ce.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],ce.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],ce.objectOffset=this.objectOffset,ce.contourColor=this.contourColor[0],ce.inverseModel=C(ce.inverseModel,ce.model);for(var Ze=0;Ze<2;++Ze)for(var ct=ce.clipBounds[Ze],pt=0;pt<3;++pt)ct[pt]=Math.min(Math.max(this.clipBounds[Ze][pt],-1e8),1e8);ce.kambient=this.ambientLight,ce.kdiffuse=this.diffuseLight,ce.kspecular=this.specularLight,ce.roughness=this.roughness,ce.fresnel=this.fresnel,ce.opacity=this.opacity,ce.height=0,ce.permutation=ke,ce.vertexColor=this.vertexColor;var Wt=Me;for(p(Wt,ce.view,ce.model),p(Wt,ce.projection,Wt),C(Wt,Wt),Ze=0;Ze<3;++Ze)ce.eyePosition[Ze]=Wt[12+Ze]/Wt[15];var st=Wt[15];for(Ze=0;Ze<3;++Ze)st+=this.lightPosition[Ze]*Wt[4*Ze+3];for(Ze=0;Ze<3;++Ze){var lt=Wt[12+Ze];for(pt=0;pt<3;++pt)lt+=Wt[4*pt+Ze]*this.lightPosition[pt];ce.lightPosition[Ze]=lt/st}var Gt=oe(ce,this);if(Gt.showSurface){for(this._shader.bind(),this._shader.uniforms=ce,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(Fe.TRIANGLES,this._vertexCount),Ze=0;Ze<3;++Ze)!this.surfaceProject[Ze]||!this.vertexCount||(this._shader.uniforms.model=Gt.projections[Ze],this._shader.uniforms.clipBounds=Gt.clipBounds[Ze],this._vao.draw(Fe.TRIANGLES,this._vertexCount));this._vao.unbind()}if(Gt.showContour){var Nt=this._contourShader;ce.kambient=1,ce.kdiffuse=0,ce.kspecular=0,ce.opacity=1,Nt.bind(),Nt.uniforms=ce;var $t=this._contourVAO;for($t.bind(),Ze=0;Ze<3;++Ze)for(Nt.uniforms.permutation=O[Ze],Fe.lineWidth(this.contourWidth[Ze]*this.pixelRatio),pt=0;pt<this.contourLevels[Ze].length;++pt)pt===this.highlightLevel[Ze]?(Nt.uniforms.contourColor=this.highlightColor[Ze],Nt.uniforms.contourTint=this.highlightTint[Ze]):(pt===0||pt-1===this.highlightLevel[Ze])&&(Nt.uniforms.contourColor=this.contourColor[Ze],Nt.uniforms.contourTint=this.contourTint[Ze]),this._contourCounts[Ze][pt]&&(Nt.uniforms.height=this.contourLevels[Ze][pt],$t.draw(Fe.LINES,this._contourCounts[Ze][pt],this._contourOffsets[Ze][pt]));for(Ze=0;Ze<3;++Ze)for(Nt.uniforms.model=Gt.projections[Ze],Nt.uniforms.clipBounds=Gt.clipBounds[Ze],pt=0;pt<3;++pt)if(this.contourProject[Ze][pt]){Nt.uniforms.permutation=O[pt],Fe.lineWidth(this.contourWidth[pt]*this.pixelRatio);for(var sr=0;sr<this.contourLevels[pt].length;++sr)sr===this.highlightLevel[pt]?(Nt.uniforms.contourColor=this.highlightColor[pt],Nt.uniforms.contourTint=this.highlightTint[pt]):(sr===0||sr-1===this.highlightLevel[pt])&&(Nt.uniforms.contourColor=this.contourColor[pt],Nt.uniforms.contourTint=this.contourTint[pt]),this._contourCounts[pt][sr]&&(Nt.uniforms.height=this.contourLevels[pt][sr],$t.draw(Fe.LINES,this._contourCounts[pt][sr],this._contourOffsets[pt][sr]))}for($t.unbind(),$t=this._dynamicVAO,$t.bind(),Ze=0;Ze<3;++Ze)if(this._dynamicCounts[Ze]!==0)for(Nt.uniforms.model=ce.model,Nt.uniforms.clipBounds=ce.clipBounds,Nt.uniforms.permutation=O[Ze],Fe.lineWidth(this.dynamicWidth[Ze]*this.pixelRatio),Nt.uniforms.contourColor=this.dynamicColor[Ze],Nt.uniforms.contourTint=this.dynamicTint[Ze],Nt.uniforms.height=this.dynamicLevel[Ze],$t.draw(Fe.LINES,this._dynamicCounts[Ze],this._dynamicOffsets[Ze]),pt=0;pt<3;++pt)this.contourProject[pt][Ze]&&(Nt.uniforms.model=Gt.projections[pt],Nt.uniforms.clipBounds=Gt.clipBounds[pt],$t.draw(Fe.LINES,this._dynamicCounts[Ze],this._dynamicOffsets[Ze]));$t.unbind()}}H.draw=function(Pe){return me.call(this,Pe,!1)},H.drawTransparent=function(Pe){return me.call(this,Pe,!0)};var ie={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]};H.drawPick=function(Pe){Pe=Pe||{};var ge=this.gl;ge.disable(ge.CULL_FACE);var Fe=ie;Fe.model=Pe.model||T,Fe.view=Pe.view||T,Fe.projection=Pe.projection||T,Fe.shape=this._field[2].shape,Fe.pickId=this.pickId/255,Fe.lowerBound=this.bounds[0],Fe.upperBound=this.bounds[1],Fe.objectOffset=this.objectOffset,Fe.permutation=ke;for(var ce=0;ce<2;++ce)for(var Ze=Fe.clipBounds[ce],ct=0;ct<3;++ct)Ze[ct]=Math.min(Math.max(this.clipBounds[ce][ct],-1e8),1e8);var pt=oe(Fe,this);if(pt.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=Fe,this._vao.bind(),this._vao.draw(ge.TRIANGLES,this._vertexCount),ce=0;ce<3;++ce)this.surfaceProject[ce]&&(this._pickShader.uniforms.model=pt.projections[ce],this._pickShader.uniforms.clipBounds=pt.clipBounds[ce],this._vao.draw(ge.TRIANGLES,this._vertexCount));this._vao.unbind()}if(pt.showContour){var Wt=this._contourPickShader;Wt.bind(),Wt.uniforms=Fe;var st=this._contourVAO;for(st.bind(),ct=0;ct<3;++ct)for(ge.lineWidth(this.contourWidth[ct]*this.pixelRatio),Wt.uniforms.permutation=O[ct],ce=0;ce<this.contourLevels[ct].length;++ce)this._contourCounts[ct][ce]&&(Wt.uniforms.height=this.contourLevels[ct][ce],st.draw(ge.LINES,this._contourCounts[ct][ce],this._contourOffsets[ct][ce]));for(ce=0;ce<3;++ce)for(Wt.uniforms.model=pt.projections[ce],Wt.uniforms.clipBounds=pt.clipBounds[ce],ct=0;ct<3;++ct)if(this.contourProject[ce][ct]){Wt.uniforms.permutation=O[ct],ge.lineWidth(this.contourWidth[ct]*this.pixelRatio);for(var lt=0;lt<this.contourLevels[ct].length;++lt)this._contourCounts[ct][lt]&&(Wt.uniforms.height=this.contourLevels[ct][lt],st.draw(ge.LINES,this._contourCounts[ct][lt],this._contourOffsets[ct][lt]))}st.unbind()}},H.pick=function(Pe){if(!Pe||Pe.id!==this.pickId)return null;var ge=this._field[2].shape,Fe=this._pickResult,ce=ge[0]*(Pe.value[0]+(Pe.value[2]>>4)/16)/255,Ze=Math.floor(ce),ct=ce-Ze,pt=ge[1]*(Pe.value[1]+(Pe.value[2]&15)/16)/255,Wt=Math.floor(pt),st=pt-Wt;Ze+=1,Wt+=1;var lt=Fe.position;lt[0]=lt[1]=lt[2]=0;for(var Gt=0;Gt<2;++Gt)for(var Nt=Gt?ct:1-ct,$t=0;$t<2;++$t)for(var sr=$t?st:1-st,wr=Ze+Gt,ur=Wt+$t,Qe=Nt*sr,Et=0;Et<3;++Et)lt[Et]+=this._field[Et].get(wr,ur)*Qe;for(var er=this._pickResult.level,Ut=0;Ut<3;++Ut)if(er[Ut]=E.le(this.contourLevels[Ut],lt[Ut]),er[Ut]<0)this.contourLevels[Ut].length>0&&(er[Ut]=0);else if(er[Ut]<this.contourLevels[Ut].length-1){var Ft=this.contourLevels[Ut][er[Ut]],bt=this.contourLevels[Ut][er[Ut]+1];Math.abs(Ft-lt[Ut])>Math.abs(bt-lt[Ut])&&(er[Ut]+=1)}for(Fe.index[0]=ct<.5?Ze:Ze+1,Fe.index[1]=st<.5?Wt:Wt+1,Fe.uv[0]=ce/ge[0],Fe.uv[1]=pt/ge[1],Et=0;Et<3;++Et)Fe.dataCoordinate[Et]=this._field[Et].get(Fe.index[0],Fe.index[1]);return Fe},H.padField=function(Pe,ge){var Fe=ge.shape.slice(),ce=Pe.shape.slice();d.assign(Pe.lo(1,1).hi(Fe[0],Fe[1]),ge),d.assign(Pe.lo(1).hi(Fe[0],1),ge.hi(Fe[0],1)),d.assign(Pe.lo(1,ce[1]-1).hi(Fe[0],1),ge.lo(0,Fe[1]-1).hi(Fe[0],1)),d.assign(Pe.lo(0,1).hi(1,Fe[1]),ge.hi(1)),d.assign(Pe.lo(ce[0]-1,1).hi(1,Fe[1]),ge.lo(Fe[0]-1)),Pe.set(0,0,ge.get(0,0)),Pe.set(0,ce[1]-1,ge.get(0,Fe[1]-1)),Pe.set(ce[0]-1,0,ge.get(Fe[0]-1,0)),Pe.set(ce[0]-1,ce[1]-1,ge.get(Fe[0]-1,Fe[1]-1))};function Se(Pe,ge){return Array.isArray(Pe)?[ge(Pe[0]),ge(Pe[1]),ge(Pe[2])]:[ge(Pe),ge(Pe),ge(Pe)]}function Le(Pe){return Array.isArray(Pe)?Pe.length===3?[Pe[0],Pe[1],Pe[2],1]:[Pe[0],Pe[1],Pe[2],Pe[3]]:[0,0,0,1]}function Ae(Pe){if(Array.isArray(Pe)){if(Array.isArray(Pe))return[Le(Pe[0]),Le(Pe[1]),Le(Pe[2])];var ge=Le(Pe);return[ge.slice(),ge.slice(),ge.slice()]}}H.update=function(Pe){Pe=Pe||{},this.objectOffset=Pe.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in Pe&&(this.contourWidth=Se(Pe.contourWidth,Number)),\"showContour\"in Pe&&(this.showContour=Se(Pe.showContour,Boolean)),\"showSurface\"in Pe&&(this.showSurface=!!Pe.showSurface),\"contourTint\"in Pe&&(this.contourTint=Se(Pe.contourTint,Boolean)),\"contourColor\"in Pe&&(this.contourColor=Ae(Pe.contourColor)),\"contourProject\"in Pe&&(this.contourProject=Se(Pe.contourProject,function(yn){return Se(yn,Boolean)})),\"surfaceProject\"in Pe&&(this.surfaceProject=Pe.surfaceProject),\"dynamicColor\"in Pe&&(this.dynamicColor=Ae(Pe.dynamicColor)),\"dynamicTint\"in Pe&&(this.dynamicTint=Se(Pe.dynamicTint,Number)),\"dynamicWidth\"in Pe&&(this.dynamicWidth=Se(Pe.dynamicWidth,Number)),\"opacity\"in Pe&&(this.opacity=Pe.opacity),\"opacityscale\"in Pe&&(this.opacityscale=Pe.opacityscale),\"colorBounds\"in Pe&&(this.colorBounds=Pe.colorBounds),\"vertexColor\"in Pe&&(this.vertexColor=Pe.vertexColor?1:0),\"colormap\"in Pe&&this._colorMap.setPixels(this.genColormap(Pe.colormap,this.opacityscale));var ge=Pe.field||Pe.coords&&Pe.coords[2]||null,Fe=!1;if(ge||(this._field[2].shape[0]||this._field[2].shape[2]?ge=this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):ge=this._field[2].hi(0,0)),\"field\"in Pe||\"coords\"in Pe){var ce=(ge.shape[0]+2)*(ge.shape[1]+2);ce>this._field[2].data.length&&(f.freeFloat(this._field[2].data),this._field[2].data=f.mallocFloat(s.nextPow2(ce))),this._field[2]=x(this._field[2].data,[ge.shape[0]+2,ge.shape[1]+2]),this.padField(this._field[2],ge),this.shape=ge.shape.slice();for(var Ze=this.shape,ct=0;ct<2;++ct)this._field[2].size>this._field[ct].data.length&&(f.freeFloat(this._field[ct].data),this._field[ct].data=f.mallocFloat(this._field[2].size)),this._field[ct]=x(this._field[ct].data,[Ze[0]+2,Ze[1]+2]);if(Pe.coords){var pt=Pe.coords;if(!Array.isArray(pt)||pt.length!==3)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(ct=0;ct<2;++ct){var Wt=pt[ct];for($t=0;$t<2;++$t)if(Wt.shape[$t]!==Ze[$t])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[ct],Wt)}}else if(Pe.ticks){var st=Pe.ticks;if(!Array.isArray(st)||st.length!==2)throw new Error(\"gl-surface: invalid ticks\");for(ct=0;ct<2;++ct){var lt=st[ct];if((Array.isArray(lt)||lt.length)&&(lt=x(lt)),lt.shape[0]!==Ze[ct])throw new Error(\"gl-surface: invalid tick length\");var Gt=x(lt.data,Ze);Gt.stride[ct]=lt.stride[0],Gt.stride[ct^1]=0,this.padField(this._field[ct],Gt)}}else{for(ct=0;ct<2;++ct){var Nt=[0,0];Nt[ct]=1,this._field[ct]=x(this._field[ct].data,[Ze[0]+2,Ze[1]+2],Nt,0)}this._field[0].set(0,0,0);for(var $t=0;$t<Ze[0];++$t)this._field[0].set($t+1,0,$t);for(this._field[0].set(Ze[0]+1,0,Ze[0]-1),this._field[1].set(0,0,0),$t=0;$t<Ze[1];++$t)this._field[1].set(0,$t+1,$t);this._field[1].set(0,Ze[1]+1,Ze[1]-1)}var sr=this._field,wr=x(f.mallocFloat(sr[2].size*3*2),[3,Ze[0]+2,Ze[1]+2,2]);for(ct=0;ct<3;++ct)A(wr.pick(ct),sr[ct],\"mirror\");var ur=x(f.mallocFloat(sr[2].size*3),[Ze[0]+2,Ze[1]+2,3]);for(ct=0;ct<Ze[0]+2;++ct)for($t=0;$t<Ze[1]+2;++$t){var Qe=wr.get(0,ct,$t,0),Et=wr.get(0,ct,$t,1),er=wr.get(1,ct,$t,0),Ut=wr.get(1,ct,$t,1),Ft=wr.get(2,ct,$t,0),bt=wr.get(2,ct,$t,1),yt=er*bt-Ut*Ft,Yt=Ft*Et-bt*Qe,lr=Qe*Ut-Et*er,Tr=Math.sqrt(yt*yt+Yt*Yt+lr*lr);Tr<1e-8?(Tr=Math.max(Math.abs(yt),Math.abs(Yt),Math.abs(lr)),Tr<1e-8?(lr=1,Yt=yt=0,Tr=1):Tr=1/Tr):Tr=1/Math.sqrt(Tr),ur.set(ct,$t,0,yt*Tr),ur.set(ct,$t,1,Yt*Tr),ur.set(ct,$t,2,lr*Tr)}f.free(wr.data);var Rr=[1/0,1/0,1/0],ei=[-1/0,-1/0,-1/0],Wr=1/0,Ur=-1/0,dt=(Ze[0]-1)*(Ze[1]-1)*6,Ge=f.mallocFloat(s.nextPow2(10*dt)),Je=0,je=0;for(ct=0;ct<Ze[0]-1;++ct)e:for($t=0;$t<Ze[1]-1;++$t){for(var $e=0;$e<2;++$e)for(var wt=0;wt<2;++wt)for(var Ie=0;Ie<3;++Ie){var xe=this._field[Ie].get(1+ct+$e,1+$t+wt);if(isNaN(xe)||!isFinite(xe))continue e}for(Ie=0;Ie<6;++Ie){var Ce=ct+z[Ie][0],vt=$t+z[Ie][1],nr=this._field[0].get(Ce+1,vt+1),ir=this._field[1].get(Ce+1,vt+1);xe=this._field[2].get(Ce+1,vt+1),yt=ur.get(Ce+1,vt+1,0),Yt=ur.get(Ce+1,vt+1,1),lr=ur.get(Ce+1,vt+1,2),Pe.intensity&&(pr=Pe.intensity.get(Ce,vt));var pr=Pe.intensity?Pe.intensity.get(Ce,vt):xe+this.objectOffset[2];Ge[Je++]=Ce,Ge[Je++]=vt,Ge[Je++]=nr,Ge[Je++]=ir,Ge[Je++]=xe,Ge[Je++]=0,Ge[Je++]=pr,Ge[Je++]=yt,Ge[Je++]=Yt,Ge[Je++]=lr,Rr[0]=Math.min(Rr[0],nr+this.objectOffset[0]),Rr[1]=Math.min(Rr[1],ir+this.objectOffset[1]),Rr[2]=Math.min(Rr[2],xe+this.objectOffset[2]),Wr=Math.min(Wr,pr),ei[0]=Math.max(ei[0],nr+this.objectOffset[0]),ei[1]=Math.max(ei[1],ir+this.objectOffset[1]),ei[2]=Math.max(ei[2],xe+this.objectOffset[2]),Ur=Math.max(Ur,pr),je+=1}}for(Pe.intensityBounds&&(Wr=+Pe.intensityBounds[0],Ur=+Pe.intensityBounds[1]),ct=6;ct<Je;ct+=10)Ge[ct]=(Ge[ct]-Wr)/(Ur-Wr);this._vertexCount=je,this._coordinateBuffer.update(Ge.subarray(0,Je)),f.freeFloat(Ge),f.free(ur.data),this.bounds=[Rr,ei],this.intensity=Pe.intensity||this._field[2],(this.intensityBounds[0]!==Wr||this.intensityBounds[1]!==Ur)&&(Fe=!0),this.intensityBounds=[Wr,Ur]}if(\"levels\"in Pe){var oi=Pe.levels;for(Array.isArray(oi[0])?oi=oi.slice():oi=[[],[],oi],ct=0;ct<3;++ct)oi[ct]=oi[ct].slice(),oi[ct].sort(function(yn,Mn){return yn-Mn});for(ct=0;ct<3;++ct)for($t=0;$t<oi[ct].length;++$t)oi[ct][$t]-=this.objectOffset[ct];e:for(ct=0;ct<3;++ct){if(oi[ct].length!==this.contourLevels[ct].length){Fe=!0;break}for($t=0;$t<oi[ct].length;++$t)if(oi[ct][$t]!==this.contourLevels[ct][$t]){Fe=!0;break e}}this.contourLevels=oi}if(Fe){sr=this._field,Ze=this.shape;for(var di=[],Jr=0;Jr<3;++Jr){var fi=this.contourLevels[Jr],Hi=[],Pn=[],wn=[0,0,0];for(ct=0;ct<fi.length;++ct){var pn=b(this._field[Jr],fi[ct]);Hi.push(di.length/5|0),je=0;e:for($t=0;$t<pn.cells.length;++$t){var Vn=pn.cells[$t];for(Ie=0;Ie<2;++Ie){var kn=pn.positions[Vn[Ie]],ea=kn[0],ua=Math.floor(ea)|0,Vt=ea-ua,_t=kn[1],tr=Math.floor(_t)|0,ar=_t-tr,Er=!1;t:for(var Zr=0;Zr<3;++Zr){wn[Zr]=0;var ri=(Jr+Zr+1)%3;for($e=0;$e<2;++$e){var $r=$e?Vt:1-Vt;for(Ce=Math.min(Math.max(ua+$e,0),Ze[0])|0,wt=0;wt<2;++wt){var zi=wt?ar:1-ar;if(vt=Math.min(Math.max(tr+wt,0),Ze[1])|0,Zr<2?xe=this._field[ri].get(Ce,vt):xe=(this.intensity.get(Ce,vt)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(xe)||isNaN(xe)){Er=!0;break t}var Ji=$r*zi;wn[Zr]+=Ji*xe}}}if(!Er)di.push(wn[0],wn[1],kn[0],kn[1],wn[2]),je+=1;else{if(Ie>0){for(var en=0;en<5;++en)di.pop();je-=1}continue e}}}Pn.push(je)}this._contourOffsets[Jr]=Hi,this._contourCounts[Jr]=Pn}var cn=f.mallocFloat(di.length);for(ct=0;ct<di.length;++ct)cn[ct]=di[ct];this._contourBuffer.update(cn),f.freeFloat(cn)}},H.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 Pe=0;Pe<3;++Pe)f.freeFloat(this._field[Pe].data)},H.highlight=function(Pe){var ge;if(!Pe){this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],this.highlightLevel=[-1,-1,-1];return}for(ge=0;ge<3;++ge)this.enableHighlight[ge]?this.highlightLevel[ge]=Pe.level[ge]:this.highlightLevel[ge]=-1;var Fe;for(this.snapToData?Fe=Pe.dataCoordinate:Fe=Pe.position,ge=0;ge<3;++ge)Fe[ge]-=this.objectOffset[ge];if(!((!this.enableDynamic[0]||Fe[0]===this.dynamicLevel[0])&&(!this.enableDynamic[1]||Fe[1]===this.dynamicLevel[1])&&(!this.enableDynamic[2]||Fe[2]===this.dynamicLevel[2]))){for(var ce=0,Ze=this.shape,ct=f.mallocFloat(12*Ze[0]*Ze[1]),pt=0;pt<3;++pt){if(!this.enableDynamic[pt]){this.dynamicLevel[pt]=NaN,this._dynamicCounts[pt]=0;continue}this.dynamicLevel[pt]=Fe[pt];var Wt=(pt+1)%3,st=(pt+2)%3,lt=this._field[pt],Gt=this._field[Wt],Nt=this._field[st],$t=b(lt,Fe[pt]),sr=$t.cells,wr=$t.positions;for(this._dynamicOffsets[pt]=ce,ge=0;ge<sr.length;++ge)for(var ur=sr[ge],Qe=0;Qe<2;++Qe){var Et=wr[ur[Qe]],er=+Et[0],Ut=er|0,Ft=Math.min(Ut+1,Ze[0])|0,bt=er-Ut,yt=1-bt,Yt=+Et[1],lr=Yt|0,Tr=Math.min(lr+1,Ze[1])|0,Rr=Yt-lr,ei=1-Rr,Wr=yt*ei,Ur=yt*Rr,dt=bt*ei,Ge=bt*Rr,Je=Wr*Gt.get(Ut,lr)+Ur*Gt.get(Ut,Tr)+dt*Gt.get(Ft,lr)+Ge*Gt.get(Ft,Tr),je=Wr*Nt.get(Ut,lr)+Ur*Nt.get(Ut,Tr)+dt*Nt.get(Ft,lr)+Ge*Nt.get(Ft,Tr);if(isNaN(Je)||isNaN(je)){Qe&&(ce-=1);break}ct[2*ce+0]=Je,ct[2*ce+1]=je,ce+=1}this._dynamicCounts[pt]=ce-this._dynamicOffsets[pt]}this._dynamicBuffer.update(ct.subarray(0,2*ce)),f.freeFloat(ct)}};function De(Pe){var ge=Pe.gl,Fe=_(ge),ce=M(ge),Ze=k(ge),ct=g(ge),pt=l(ge),Wt=u(ge,[{buffer:pt,size:4,stride:P,offset:0},{buffer:pt,size:3,stride:P,offset:16},{buffer:pt,size:3,stride:P,offset:28}]),st=l(ge),lt=u(ge,[{buffer:st,size:4,stride:20,offset:0},{buffer:st,size:1,stride:20,offset:16}]),Gt=l(ge),Nt=u(ge,[{buffer:Gt,size:2,type:ge.FLOAT}]),$t=c(ge,1,G,ge.RGBA,ge.UNSIGNED_BYTE);$t.minFilter=ge.LINEAR,$t.magFilter=ge.LINEAR;var sr=new Z(ge,[0,0],[[0,0,0],[0,0,0]],Fe,ce,pt,Wt,$t,Ze,ct,st,lt,Gt,Nt,[0,0,0]),wr={levels:[[],[],[]]};for(var ur in Pe)wr[ur]=Pe[ur];return wr.colormap=wr.colormap||\"jet\",sr.update(wr),sr}},7766:function(i,a,o){\"use strict\";var s=o(9618),l=o(5298),u=o(1888);i.exports=g;var c=null,f=null,h=null;function d(P){c=[P.LINEAR,P.NEAREST_MIPMAP_LINEAR,P.LINEAR_MIPMAP_NEAREST,P.LINEAR_MIPMAP_NEAREST],f=[P.NEAREST,P.LINEAR,P.NEAREST_MIPMAP_NEAREST,P.NEAREST_MIPMAP_LINEAR,P.LINEAR_MIPMAP_NEAREST,P.LINEAR_MIPMAP_LINEAR],h=[P.REPEAT,P.CLAMP_TO_EDGE,P.MIRRORED_REPEAT]}function v(P){return typeof HTMLCanvasElement!=\"undefined\"&&P instanceof HTMLCanvasElement||typeof HTMLImageElement!=\"undefined\"&&P instanceof HTMLImageElement||typeof HTMLVideoElement!=\"undefined\"&&P instanceof HTMLVideoElement||typeof ImageData!=\"undefined\"&&P instanceof ImageData}var x=function(P,T){l.muls(P,T,255)};function b(P,T,z){var O=P.gl,V=O.getParameter(O.MAX_TEXTURE_SIZE);if(T<0||T>V||z<0||z>V)throw new Error(\"gl-texture2d: Invalid texture size\");return P._shape=[T,z],P.bind(),O.texImage2D(O.TEXTURE_2D,0,P.format,T,z,0,P.format,P.type,null),P._mipLevels=[0],P}function p(P,T,z,O,V,G){this.gl=P,this.handle=T,this.format=V,this.type=G,this._shape=[z,O],this._mipLevels=[0],this._magFilter=P.NEAREST,this._minFilter=P.NEAREST,this._wrapS=P.CLAMP_TO_EDGE,this._wrapT=P.CLAMP_TO_EDGE,this._anisoSamples=1;var Z=this,H=[this._wrapS,this._wrapT];Object.defineProperties(H,[{get:function(){return Z._wrapS},set:function(j){return Z.wrapS=j}},{get:function(){return Z._wrapT},set:function(j){return Z.wrapT=j}}]),this._wrapVector=H;var N=[this._shape[0],this._shape[1]];Object.defineProperties(N,[{get:function(){return Z._shape[0]},set:function(j){return Z.width=j}},{get:function(){return Z._shape[1]},set:function(j){return Z.height=j}}]),this._shapeVector=N}var C=p.prototype;Object.defineProperties(C,{minFilter:{get:function(){return this._minFilter},set:function(P){this.bind();var T=this.gl;if(this.type===T.FLOAT&&c.indexOf(P)>=0&&(T.getExtension(\"OES_texture_float_linear\")||(P=T.NEAREST)),f.indexOf(P)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+P);return T.texParameteri(T.TEXTURE_2D,T.TEXTURE_MIN_FILTER,P),this._minFilter=P}},magFilter:{get:function(){return this._magFilter},set:function(P){this.bind();var T=this.gl;if(this.type===T.FLOAT&&c.indexOf(P)>=0&&(T.getExtension(\"OES_texture_float_linear\")||(P=T.NEAREST)),f.indexOf(P)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+P);return T.texParameteri(T.TEXTURE_2D,T.TEXTURE_MAG_FILTER,P),this._magFilter=P}},mipSamples:{get:function(){return this._anisoSamples},set:function(P){var T=this._anisoSamples;if(this._anisoSamples=Math.max(P,1)|0,T!==this._anisoSamples){var z=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");z&&this.gl.texParameterf(this.gl.TEXTURE_2D,z.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(P){if(this.bind(),h.indexOf(P)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+P);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,P),this._wrapS=P}},wrapT:{get:function(){return this._wrapT},set:function(P){if(this.bind(),h.indexOf(P)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+P);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,P),this._wrapT=P}},wrap:{get:function(){return this._wrapVector},set:function(P){if(Array.isArray(P)||(P=[P,P]),P.length!==2)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var T=0;T<2;++T)if(h.indexOf(P[T])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+P);this._wrapS=P[0],this._wrapT=P[1];var z=this.gl;return this.bind(),z.texParameteri(z.TEXTURE_2D,z.TEXTURE_WRAP_S,this._wrapS),z.texParameteri(z.TEXTURE_2D,z.TEXTURE_WRAP_T,this._wrapT),P}},shape:{get:function(){return this._shapeVector},set:function(P){if(!Array.isArray(P))P=[P|0,P|0];else if(P.length!==2)throw new Error(\"gl-texture2d: Invalid texture shape\");return b(this,P[0]|0,P[1]|0),[P[0]|0,P[1]|0]}},width:{get:function(){return this._shape[0]},set:function(P){return P=P|0,b(this,P,this._shape[1]),P}},height:{get:function(){return this._shape[1]},set:function(P){return P=P|0,b(this,this._shape[0],P),P}}}),C.bind=function(P){var T=this.gl;return P!==void 0&&T.activeTexture(T.TEXTURE0+(P|0)),T.bindTexture(T.TEXTURE_2D,this.handle),P!==void 0?P|0:T.getParameter(T.ACTIVE_TEXTURE)-T.TEXTURE0},C.dispose=function(){this.gl.deleteTexture(this.handle)},C.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var P=Math.min(this._shape[0],this._shape[1]),T=0;P>0;++T,P>>>=1)this._mipLevels.indexOf(T)<0&&this._mipLevels.push(T)},C.setPixels=function(P,T,z,O){var V=this.gl;this.bind(),Array.isArray(T)?(O=z,z=T[1]|0,T=T[0]|0):(T=T||0,z=z||0),O=O||0;var G=v(P)?P:P.raw;if(G){var Z=this._mipLevels.indexOf(O)<0;Z?(V.texImage2D(V.TEXTURE_2D,0,this.format,this.format,this.type,G),this._mipLevels.push(O)):V.texSubImage2D(V.TEXTURE_2D,O,T,z,this.format,this.type,G)}else if(P.shape&&P.stride&&P.data){if(P.shape.length<2||T+P.shape[1]>this._shape[1]>>>O||z+P.shape[0]>this._shape[0]>>>O||T<0||z<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");A(V,T,z,O,this.format,this.type,this._mipLevels,P)}else throw new Error(\"gl-texture2d: Unsupported data type\")};function E(P,T){return P.length===3?T[2]===1&&T[1]===P[0]*P[2]&&T[0]===P[2]:T[0]===1&&T[1]===P[0]}function A(P,T,z,O,V,G,Z,H){var N=H.dtype,j=H.shape.slice();if(j.length<2||j.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var re=0,oe=0,_e=E(j,H.stride.slice());N===\"float32\"?re=P.FLOAT:N===\"float64\"?(re=P.FLOAT,_e=!1,N=\"float32\"):N===\"uint8\"?re=P.UNSIGNED_BYTE:(re=P.UNSIGNED_BYTE,_e=!1,N=\"uint8\");var Me=1;if(j.length===2)oe=P.LUMINANCE,j=[j[0],j[1],1],H=s(H.data,j,[H.stride[0],H.stride[1],1],H.offset);else if(j.length===3){if(j[2]===1)oe=P.ALPHA;else if(j[2]===2)oe=P.LUMINANCE_ALPHA;else if(j[2]===3)oe=P.RGB;else if(j[2]===4)oe=P.RGBA;else throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");Me=j[2]}else throw new Error(\"gl-texture2d: Invalid shape for texture\");if((oe===P.LUMINANCE||oe===P.ALPHA)&&(V===P.LUMINANCE||V===P.ALPHA)&&(oe=V),oe!==V)throw new Error(\"gl-texture2d: Incompatible texture format for setPixels\");var ke=H.size,me=Z.indexOf(O)<0;if(me&&Z.push(O),re===G&&_e)H.offset===0&&H.data.length===ke?me?P.texImage2D(P.TEXTURE_2D,O,V,j[0],j[1],0,V,G,H.data):P.texSubImage2D(P.TEXTURE_2D,O,T,z,j[0],j[1],V,G,H.data):me?P.texImage2D(P.TEXTURE_2D,O,V,j[0],j[1],0,V,G,H.data.subarray(H.offset,H.offset+ke)):P.texSubImage2D(P.TEXTURE_2D,O,T,z,j[0],j[1],V,G,H.data.subarray(H.offset,H.offset+ke));else{var ie;G===P.FLOAT?ie=u.mallocFloat32(ke):ie=u.mallocUint8(ke);var 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A=C.length;if(A===0)throw new Error(\"Must have at least d+1 points\");var L=C[0].length;if(A<=L)throw new Error(\"Must input at least d+1 points\");var _=C.slice(0,L+1),k=s.apply(void 0,_);if(k===0)throw new Error(\"Input not in general position\");for(var M=new Array(L+1),g=0;g<=L;++g)M[g]=g;k<0&&(M[0]=1,M[1]=0);for(var P=new u(M,new Array(L+1),!1),T=P.adjacent,z=new Array(L+2),g=0;g<=L;++g){for(var O=M.slice(),V=0;V<=L;++V)V===g&&(O[V]=-1);var G=O[0];O[0]=O[1],O[1]=G;var Z=new u(O,new Array(L+1),!0);T[g]=Z,z[g]=Z}z[L+1]=P;for(var g=0;g<=L;++g)for(var O=T[g].vertices,H=T[g].adjacent,V=0;V<=L;++V){var N=O[V];if(N<0){H[V]=P;continue}for(var j=0;j<=L;++j)T[j].vertices.indexOf(N)<0&&(H[V]=T[j])}for(var re=new x(L,_,z),oe=!!E,g=L+1;g<A;++g)re.insert(C[g],oe);return re.boundary()}},3352:function(i,a,o){\"use strict\";var s=o(2478),l=0,u=1,c=2;i.exports=P;function 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if(T[0]>this.mid)this.right?4*(this.right.count+1)>3*(z+1)?x(this,T):this.right.insert(T):this.right=k([T]);else{var O=s.ge(this.leftPoints,T,L),V=s.ge(this.rightPoints,T,_);this.leftPoints.splice(O,0,T),this.rightPoints.splice(V,0,T)}},h.remove=function(T){var z=this.count-this.leftPoints;if(T[1]<this.mid){if(!this.left)return l;var O=this.right?this.right.count:0;if(4*O>3*(z-1))return b(this,T);var V=this.left.remove(T);return V===c?(this.left=null,this.count-=1,u):(V===u&&(this.count-=1),V)}else if(T[0]>this.mid){if(!this.right)return l;var G=this.left?this.left.count:0;if(4*G>3*(z-1))return b(this,T);var V=this.right.remove(T);return V===c?(this.right=null,this.count-=1,u):(V===u&&(this.count-=1),V)}else{if(this.count===1)return this.leftPoints[0]===T?c:l;if(this.leftPoints.length===1&&this.leftPoints[0]===T){if(this.left&&this.right){for(var Z=this,H=this.left;H.right;)Z=H,H=H.right;if(Z===this)H.right=this.right;else{var N=this.left,V=this.right;Z.count-=H.count,Z.right=H.left,H.left=N,H.right=V}d(this,H),this.count=(this.left?this.left.count:0)+(this.right?this.right.count:0)+this.leftPoints.length}else this.left?d(this,this.left):d(this,this.right);return u}for(var N=s.ge(this.leftPoints,T,L);N<this.leftPoints.length&&this.leftPoints[N][0]===T[0];++N)if(this.leftPoints[N]===T){this.count-=1,this.leftPoints.splice(N,1);for(var V=s.ge(this.rightPoints,T,_);V<this.rightPoints.length&&this.rightPoints[V][1]===T[1];++V)if(this.rightPoints[V]===T)return this.rightPoints.splice(V,1),u}return l}};function p(T,z,O){for(var V=0;V<T.length&&T[V][0]<=z;++V){var G=O(T[V]);if(G)return G}}function C(T,z,O){for(var V=T.length-1;V>=0&&T[V][1]>=z;--V){var G=O(T[V]);if(G)return G}}function E(T,z){for(var O=0;O<T.length;++O){var V=z(T[O]);if(V)return V}}h.queryPoint=function(T,z){if(T<this.mid){if(this.left){var O=this.left.queryPoint(T,z);if(O)return O}return p(this.leftPoints,T,z)}else 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s.identity(f),s.fromRotationTranslation(f,b,h),f[3]=x[0],f[7]=x[1],f[11]=x[2],f[15]=x[3],s.identity(u),v[2]!==0&&(u[9]=v[2],s.multiply(f,f,u)),v[1]!==0&&(u[9]=0,u[8]=v[1],s.multiply(f,f,u)),v[0]!==0&&(u[8]=0,u[4]=v[0],s.multiply(f,f,u)),s.scale(f,f,d),f}},1811:function(i,a,o){\"use strict\";var s=o(2478),l=o(7442),u=o(7608),c=o(5567),f=o(2408),h=o(7089),d=o(6582),v=o(7656),x=o(2504),b=o(3536),p=[0,0,0];i.exports=L;function C(_){this._components=_.slice(),this._time=[0],this.prevMatrix=_.slice(),this.nextMatrix=_.slice(),this.computedMatrix=_.slice(),this.computedInverse=_.slice(),this.computedEye=[0,0,0],this.computedUp=[0,0,0],this.computedCenter=[0,0,0],this.computedRadius=[0],this._limits=[-1/0,1/0]}var E=C.prototype;E.recalcMatrix=function(_){var k=this._time,M=s.le(k,_),g=this.computedMatrix;if(!(M<0)){var P=this._components;if(M===k.length-1)for(var T=16*M,z=0;z<16;++z)g[z]=P[T++];else{for(var O=k[M+1]-k[M],T=16*M,V=this.prevMatrix,G=!0,z=0;z<16;++z)V[z]=P[T++];for(var 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s=o(2361),l=Math.pow(2,-1074),u=-1>>>0;i.exports=c;function c(f,h){if(isNaN(f)||isNaN(h))return NaN;if(f===h)return f;if(f===0)return h<0?-l:l;var d=s.hi(f),v=s.lo(f);return h>f==f>0?v===u?(d+=1,v=0):v+=1:v===0?(v=u,d-=1):v-=1,s.pack(v,d)}},8406:function(i,a){var o=1e-6,s=1e-6;a.vertexNormals=function(l,u,c){for(var f=u.length,h=new Array(f),d=c===void 0?o:c,v=0;v<f;++v)h[v]=[0,0,0];for(var v=0;v<l.length;++v)for(var x=l[v],b=0,p=x[x.length-1],C=x[0],E=0;E<x.length;++E){b=p,p=C,C=x[(E+1)%x.length];for(var A=u[b],L=u[p],_=u[C],k=new Array(3),M=0,g=new Array(3),P=0,T=0;T<3;++T)k[T]=A[T]-L[T],M+=k[T]*k[T],g[T]=_[T]-L[T],P+=g[T]*g[T];if(M*P>d)for(var z=h[p],O=1/Math.sqrt(M*P),T=0;T<3;++T){var V=(T+1)%3,G=(T+2)%3;z[T]+=O*(g[V]*k[G]-g[G]*k[V])}}for(var v=0;v<f;++v){for(var z=h[v],Z=0,T=0;T<3;++T)Z+=z[T]*z[T];if(Z>d)for(var O=1/Math.sqrt(Z),T=0;T<3;++T)z[T]*=O;else for(var T=0;T<3;++T)z[T]=0}return h},a.faceNormals=function(l,u,c){for(var f=l.length,h=new Array(f),d=c===void 0?s:c,v=0;v<f;++v){for(var x=l[v],b=new Array(3),p=0;p<3;++p)b[p]=u[x[p]];for(var C=new Array(3),E=new Array(3),p=0;p<3;++p)C[p]=b[1][p]-b[0][p],E[p]=b[2][p]-b[0][p];for(var A=new Array(3),L=0,p=0;p<3;++p){var _=(p+1)%3,k=(p+2)%3;A[p]=C[_]*E[k]-C[k]*E[_],L+=A[p]*A[p]}L>d?L=1/Math.sqrt(L):L=0;for(var p=0;p<3;++p)A[p]*=L;h[v]=A}return h}},4081:function(i){\"use strict\";i.exports=a;function a(o,s,l,u,c,f,h,d,v,x){var b=s+f+x;if(p>0){var p=Math.sqrt(b+1);o[0]=.5*(h-v)/p,o[1]=.5*(d-u)/p,o[2]=.5*(l-f)/p,o[3]=.5*p}else{var C=Math.max(s,f,x),p=Math.sqrt(2*C-b+1);s>=C?(o[0]=.5*p,o[1]=.5*(c+l)/p,o[2]=.5*(d+u)/p,o[3]=.5*(h-v)/p):f>=C?(o[0]=.5*(l+c)/p,o[1]=.5*p,o[2]=.5*(v+h)/p,o[3]=.5*(d-u)/p):(o[0]=.5*(u+d)/p,o[1]=.5*(h+v)/p,o[2]=.5*p,o[3]=.5*(l-c)/p)}return o}},9977:function(i,a,o){\"use strict\";i.exports=p;var s=o(9215),l=o(6582),u=o(7399),c=o(7608),f=o(4081);function h(C,E,A){return Math.sqrt(Math.pow(C,2)+Math.pow(E,2)+Math.pow(A,2))}function d(C,E,A,L){return 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k=this.computedRotation;f(k,_[0],_[1],_[2],_[4],_[5],_[6],_[8],_[9],_[10]),v(k,k),this.rotation.set(C,k[0],k[1],k[2],k[3]);for(var M=0,g=0;g<3;++g)M+=Math.pow(A[g]-E[g],2);this.radius.set(C,.5*Math.log(Math.max(M,1e-6))),this.center.set(C,A[0],A[1],A[2])},b.translate=function(C,E,A,L){this.center.move(C,E||0,A||0,L||0)},b.setMatrix=function(C,E){var A=this.computedRotation;f(A,E[0],E[1],E[2],E[4],E[5],E[6],E[8],E[9],E[10]),v(A,A),this.rotation.set(C,A[0],A[1],A[2],A[3]);var L=this.computedMatrix;c(L,E);var _=L[15];if(Math.abs(_)>1e-6){var k=L[12]/_,M=L[13]/_,g=L[14]/_;this.recalcMatrix(C);var P=Math.exp(this.computedRadius[0]);this.center.set(C,k-L[2]*P,M-L[6]*P,g-L[10]*P),this.radius.idle(C)}else this.center.idle(C),this.radius.idle(C)},b.setDistance=function(C,E){E>0&&this.radius.set(C,Math.log(E))},b.setDistanceLimits=function(C,E){C>0?C=Math.log(C):C=-1/0,E>0?E=Math.log(E):E=1/0,E=Math.max(E,C),this.radius.bounds[0][0]=C,this.radius.bounds[1][0]=E},b.getDistanceLimits=function(C){var E=this.radius.bounds;return C?(C[0]=Math.exp(E[0][0]),C[1]=Math.exp(E[1][0]),C):[Math.exp(E[0][0]),Math.exp(E[1][0])]},b.toJSON=function(){return this.recalcMatrix(this.lastT()),{center:this.computedCenter.slice(),rotation:this.computedRotation.slice(),distance:Math.log(this.computedRadius[0]),zoomMin:this.radius.bounds[0][0],zoomMax:this.radius.bounds[1][0]}},b.fromJSON=function(C){var E=this.lastT(),A=C.center;A&&this.center.set(E,A[0],A[1],A[2]);var L=C.rotation;L&&this.rotation.set(E,L[0],L[1],L[2],L[3]);var _=C.distance;_&&_>0&&this.radius.set(E,Math.log(_)),this.setDistanceLimits(C.zoomMin,C.zoomMax)};function p(C){C=C||{};var 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u^(u^c)&-(u<c)},a.isPow2=function(u){return!(u&u-1)&&!!u},a.log2=function(u){var c,f;return c=(u>65535)<<4,u>>>=c,f=(u>255)<<3,u>>>=f,c|=f,f=(u>15)<<2,u>>>=f,c|=f,f=(u>3)<<1,u>>>=f,c|=f,c|u>>1},a.log10=function(u){return u>=1e9?9:u>=1e8?8:u>=1e7?7:u>=1e6?6:u>=1e5?5:u>=1e4?4:u>=1e3?3:u>=100?2:u>=10?1:0},a.popCount=function(u){return u=u-(u>>>1&1431655765),u=(u&858993459)+(u>>>2&858993459),(u+(u>>>4)&252645135)*16843009>>>24};function s(u){var c=32;return u&=-u,u&&c--,u&65535&&(c-=16),u&16711935&&(c-=8),u&252645135&&(c-=4),u&858993459&&(c-=2),u&1431655765&&(c-=1),c}a.countTrailingZeros=s,a.nextPow2=function(u){return u+=u===0,--u,u|=u>>>1,u|=u>>>2,u|=u>>>4,u|=u>>>8,u|=u>>>16,u+1},a.prevPow2=function(u){return u|=u>>>1,u|=u>>>2,u|=u>>>4,u|=u>>>8,u|=u>>>16,u-(u>>>1)},a.parity=function(u){return u^=u>>>16,u^=u>>>8,u^=u>>>4,u&=15,27030>>>u&1};var l=new Array(256);(function(u){for(var c=0;c<256;++c){var 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u=u>>>c&1227133513,u=(u|u>>>2)&3272356035,u=(u|u>>>4)&251719695,u=(u|u>>>8)&4278190335,u=(u|u>>>16)&1023,u<<22>>22},a.nextCombination=function(u){var c=u|u-1;return c+1|(~c&-~c)-1>>>s(u)+1}},2014:function(i,a,o){\"use strict\";\"use restrict\";var s=o(3105),l=o(4623);function u(g){for(var P=0,T=Math.max,z=0,O=g.length;z<O;++z)P=T(P,g[z].length);return P-1}a.dimension=u;function c(g){for(var P=-1,T=Math.max,z=0,O=g.length;z<O;++z)for(var V=g[z],G=0,Z=V.length;G<Z;++G)P=T(P,V[G]);return P+1}a.countVertices=c;function f(g){for(var P=new Array(g.length),T=0,z=g.length;T<z;++T)P[T]=g[T].slice(0);return P}a.cloneCells=f;function h(g,P){var T=g.length,z=g.length-P.length,O=Math.min;if(z)return z;switch(T){case 0:return 0;case 1:return g[0]-P[0];case 2:var N=g[0]+g[1]-P[0]-P[1];return N||O(g[0],g[1])-O(P[0],P[1]);case 3:var V=g[0]+g[1],G=P[0]+P[1];if(N=V+g[2]-(G+P[2]),N)return N;var Z=O(g[0],g[1]),H=O(P[0],P[1]),N=O(Z,g[2])-O(H,P[2]);return N||O(Z+g[2],V)-O(H+P[2],G);default:var j=g.slice(0);j.sort();var re=P.slice(0);re.sort();for(var oe=0;oe<T;++oe)if(z=j[oe]-re[oe],z)return z;return 0}}a.compareCells=h;function d(g,P){return h(g[0],P[0])}function v(g,P){if(P){for(var T=g.length,z=new Array(T),O=0;O<T;++O)z[O]=[g[O],P[O]];z.sort(d);for(var O=0;O<T;++O)g[O]=z[O][0],P[O]=z[O][1];return g}else return g.sort(h),g}a.normalize=v;function x(g){if(g.length===0)return[];for(var P=1,T=g.length,z=1;z<T;++z){var O=g[z];if(h(O,g[z-1])){if(z===P){P++;continue}g[P++]=O}}return g.length=P,g}a.unique=x;function b(g,P){for(var T=0,z=g.length-1,O=-1;T<=z;){var V=T+z>>1,G=h(g[V],P);G<=0?(G===0&&(O=V),T=V+1):G>0&&(z=V-1)}return O}a.findCell=b;function p(g,P){for(var T=new Array(g.length),z=0,O=T.length;z<O;++z)T[z]=[];for(var V=[],z=0,G=P.length;z<G;++z)for(var Z=P[z],H=Z.length,N=1,j=1<<H;N<j;++N){V.length=s.popCount(N);for(var re=0,oe=0;oe<H;++oe)N&1<<oe&&(V[re++]=Z[oe]);var _e=b(g,V);if(!(_e<0))for(;T[_e++].push(z),!(_e>=g.length||h(g[_e],V)!==0););}return 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b(A,L,_,k,M,g,P,T){this.center=s(_),this.up=s(k),this.right=s(M),this.radius=s([g]),this.angle=s([P,T]),this.angle.bounds=[[-1/0,-Math.PI/2],[1/0,Math.PI/2]],this.setDistanceLimits(A,L),this.computedCenter=this.center.curve(0),this.computedUp=this.up.curve(0),this.computedRight=this.right.curve(0),this.computedRadius=this.radius.curve(0),this.computedAngle=this.angle.curve(0),this.computedToward=[0,0,0],this.computedEye=[0,0,0],this.computedMatrix=new Array(16);for(var z=0;z<16;++z)this.computedMatrix[z]=.5;this.recalcMatrix(0)}var p=b.prototype;p.setDistanceLimits=function(A,L){A>0?A=Math.log(A):A=-1/0,L>0?L=Math.log(L):L=1/0,L=Math.max(L,A),this.radius.bounds[0][0]=A,this.radius.bounds[1][0]=L},p.getDistanceLimits=function(A){var L=this.radius.bounds[0];return A?(A[0]=Math.exp(L[0][0]),A[1]=Math.exp(L[1][0]),A):[Math.exp(L[0][0]),Math.exp(L[1][0])]},p.recalcMatrix=function(A){this.center.curve(A),this.up.curve(A),this.right.curve(A),this.radius.curve(A),this.angle.curve(A);for(var L=this.computedUp,_=this.computedRight,k=0,M=0,g=0;g<3;++g)M+=L[g]*_[g],k+=L[g]*L[g];for(var P=Math.sqrt(k),T=0,g=0;g<3;++g)_[g]-=L[g]*M/k,T+=_[g]*_[g],L[g]/=P;for(var z=Math.sqrt(T),g=0;g<3;++g)_[g]/=z;var O=this.computedToward;c(O,L,_),f(O,O);for(var V=Math.exp(this.computedRadius[0]),G=this.computedAngle[0],Z=this.computedAngle[1],H=Math.cos(G),N=Math.sin(G),j=Math.cos(Z),re=Math.sin(Z),oe=this.computedCenter,_e=H*j,Me=N*j,ke=re,me=-H*re,ie=-N*re,Se=j,Le=this.computedEye,Ae=this.computedMatrix,g=0;g<3;++g){var De=_e*_[g]+Me*O[g]+ke*L[g];Ae[4*g+1]=me*_[g]+ie*O[g]+Se*L[g],Ae[4*g+2]=De,Ae[4*g+3]=0}var Pe=Ae[1],ge=Ae[5],Fe=Ae[9],ce=Ae[2],Ze=Ae[6],ct=Ae[10],pt=ge*ct-Fe*Ze,Wt=Fe*ce-Pe*ct,st=Pe*Ze-ge*ce,lt=d(pt,Wt,st);pt/=lt,Wt/=lt,st/=lt,Ae[0]=pt,Ae[4]=Wt,Ae[8]=st;for(var g=0;g<3;++g)Le[g]=oe[g]+Ae[2+4*g]*V;for(var g=0;g<3;++g){for(var T=0,Gt=0;Gt<3;++Gt)T+=Ae[g+4*Gt]*Le[Gt];Ae[12+g]=-T}Ae[15]=1},p.getMatrix=function(A,L){this.recalcMatrix(A);var _=this.computedMatrix;if(L){for(var k=0;k<16;++k)L[k]=_[k];return L}return _};var C=[0,0,0];p.rotate=function(A,L,_,k){if(this.angle.move(A,L,_),k){this.recalcMatrix(A);var M=this.computedMatrix;C[0]=M[2],C[1]=M[6],C[2]=M[10];for(var g=this.computedUp,P=this.computedRight,T=this.computedToward,z=0;z<3;++z)M[4*z]=g[z],M[4*z+1]=P[z],M[4*z+2]=T[z];u(M,M,k,C);for(var z=0;z<3;++z)g[z]=M[4*z],P[z]=M[4*z+1];this.up.set(A,g[0],g[1],g[2]),this.right.set(A,P[0],P[1],P[2])}},p.pan=function(A,L,_,k){L=L||0,_=_||0,k=k||0,this.recalcMatrix(A);var M=this.computedMatrix,g=Math.exp(this.computedRadius[0]),P=M[1],T=M[5],z=M[9],O=d(P,T,z);P/=O,T/=O,z/=O;var V=M[0],G=M[4],Z=M[8],H=V*P+G*T+Z*z;V-=P*H,G-=T*H,Z-=z*H;var N=d(V,G,Z);V/=N,G/=N,Z/=N;var j=V*L+P*_,re=G*L+T*_,oe=Z*L+z*_;this.center.move(A,j,re,oe);var _e=Math.exp(this.computedRadius[0]);_e=Math.max(1e-4,_e+k),this.radius.set(A,Math.log(_e))},p.translate=function(A,L,_,k){this.center.move(A,L||0,_||0,k||0)},p.setMatrix=function(A,L,_,k){var M=1;typeof _==\"number\"&&(M=_|0),(M<0||M>3)&&(M=1);var g=(M+2)%3,P=(M+1)%3;L||(this.recalcMatrix(A),L=this.computedMatrix);var T=L[M],z=L[M+4],O=L[M+8];if(k){var G=Math.abs(T),Z=Math.abs(z),H=Math.abs(O),N=Math.max(G,Z,H);G===N?(T=T<0?-1:1,z=O=0):H===N?(O=O<0?-1:1,T=z=0):(z=z<0?-1:1,T=O=0)}else{var V=d(T,z,O);T/=V,z/=V,O/=V}var j=L[g],re=L[g+4],oe=L[g+8],_e=j*T+re*z+oe*O;j-=T*_e,re-=z*_e,oe-=O*_e;var Me=d(j,re,oe);j/=Me,re/=Me,oe/=Me;var ke=z*oe-O*re,me=O*j-T*oe,ie=T*re-z*j,Se=d(ke,me,ie);ke/=Se,me/=Se,ie/=Se,this.center.jump(A,ur,Qe,Et),this.radius.idle(A),this.up.jump(A,T,z,O),this.right.jump(A,j,re,oe);var Le,Ae;if(M===2){var De=L[1],Pe=L[5],ge=L[9],Fe=De*j+Pe*re+ge*oe,ce=De*ke+Pe*me+ge*ie;Wt<0?Le=-Math.PI/2:Le=Math.PI/2,Ae=Math.atan2(ce,Fe)}else{var Ze=L[2],ct=L[6],pt=L[10],Wt=Ze*T+ct*z+pt*O,st=Ze*j+ct*re+pt*oe,lt=Ze*ke+ct*me+pt*ie;Le=Math.asin(v(Wt)),Ae=Math.atan2(lt,st)}this.angle.jump(A,Ae,Le),this.recalcMatrix(A);var Gt=L[2],Nt=L[6],$t=L[10],sr=this.computedMatrix;l(sr,L);var wr=sr[15],ur=sr[12]/wr,Qe=sr[13]/wr,Et=sr[14]/wr,er=Math.exp(this.computedRadius[0]);this.center.jump(A,ur-Gt*er,Qe-Nt*er,Et-$t*er)},p.lastT=function(){return Math.max(this.center.lastT(),this.up.lastT(),this.right.lastT(),this.radius.lastT(),this.angle.lastT())},p.idle=function(A){this.center.idle(A),this.up.idle(A),this.right.idle(A),this.radius.idle(A),this.angle.idle(A)},p.flush=function(A){this.center.flush(A),this.up.flush(A),this.right.flush(A),this.radius.flush(A),this.angle.flush(A)},p.setDistance=function(A,L){L>0&&this.radius.set(A,Math.log(L))},p.lookAt=function(A,L,_,k){this.recalcMatrix(A),L=L||this.computedEye,_=_||this.computedCenter,k=k||this.computedUp;var M=k[0],g=k[1],P=k[2],T=d(M,g,P);if(!(T<1e-6)){M/=T,g/=T,P/=T;var z=L[0]-_[0],O=L[1]-_[1],V=L[2]-_[2],G=d(z,O,V);if(!(G<1e-6)){z/=G,O/=G,V/=G;var Z=this.computedRight,H=Z[0],N=Z[1],j=Z[2],re=M*H+g*N+P*j;H-=re*M,N-=re*g,j-=re*P;var oe=d(H,N,j);if(!(oe<.01&&(H=g*V-P*O,N=P*z-M*V,j=M*O-g*z,oe=d(H,N,j),oe<1e-6))){H/=oe,N/=oe,j/=oe,this.up.set(A,M,g,P),this.right.set(A,H,N,j),this.center.set(A,_[0],_[1],_[2]),this.radius.set(A,Math.log(G));var _e=g*j-P*N,Me=P*H-M*j,ke=M*N-g*H,me=d(_e,Me,ke);_e/=me,Me/=me,ke/=me;var ie=M*z+g*O+P*V,Se=H*z+N*O+j*V,Le=_e*z+Me*O+ke*V,Ae=Math.asin(v(ie)),De=Math.atan2(Le,Se),Pe=this.angle._state,ge=Pe[Pe.length-1],Fe=Pe[Pe.length-2];ge=ge%(2*Math.PI);var ce=Math.abs(ge+2*Math.PI-De),Ze=Math.abs(ge-De),ct=Math.abs(ge-2*Math.PI-De);ce<Ze&&(ge+=2*Math.PI),ct<Ze&&(ge-=2*Math.PI),this.angle.jump(this.angle.lastT(),ge,Fe),this.angle.set(A,De,Ae)}}}};function E(A){A=A||{};var L=A.center||[0,0,0],_=A.up||[0,1,0],k=A.right||x(_),M=A.radius||1,g=A.theta||0,P=A.phi||0;if(L=[].slice.call(L,0,3),_=[].slice.call(_,0,3),f(_,_),k=[].slice.call(k,0,3),f(k,k),\"eye\"in A){var T=A.eye,z=[T[0]-L[0],T[1]-L[1],T[2]-L[2]];c(k,z,_),d(k[0],k[1],k[2])<1e-6?k=x(_):f(k,k),M=d(z[0],z[1],z[2]);var 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Uint8ClampedArray||Array.isArray(e)&&(e[0]>1||e[0]===0)&&(e[1]>1||e[1]===0)&&(e[2]>1||e[2]===0)&&(!e[3]||e[3]>1))}});var Jy=ye((Xpr,pPe)=>{\"use strict\";var DPt=$_();function FPt(e){return e?DPt(e):[0,0,0,1]}pPe.exports=FPt});var $y=ye((Zpr,wPe)=>{\"use strict\";var xPe=Eo(),zPt=cd(),ZD=$_(),YD=tc(),OPt=Eh().defaultLine,gPe=vv().isArrayOrTypedArray,dX=ZD(OPt),bPe=1;function mPe(e,t){var r=e;return r[3]*=t,r}function yPe(e){if(xPe(e))return dX;var t=ZD(e);return t.length?t:dX}function _Pe(e){return xPe(e)?e:bPe}function qPt(e,t,r){var n=e.color;n&&n._inputArray&&(n=n._inputArray);var i=gPe(n),a=gPe(t),o=YD.extractOpts(e),s=[],l,u,c,f,h;if(o.colorscale!==void 0?l=YD.makeColorScaleFuncFromTrace(e):l=yPe,i?u=function(v,x){return v[x]===void 0?dX:ZD(l(v[x]))}:u=yPe,a?c=function(v,x){return v[x]===void 0?bPe:_Pe(v[x])}:c=_Pe,i||a)for(var d=0;d<r;d++)f=u(n,d),h=c(t,d),s[d]=mPe(f,h);else s=mPe(ZD(n),t);return s}function BPt(e){var t=YD.extractOpts(e),r=t.colorscale;return t.reversescale&&(r=YD.flipScale(t.colorscale)),r.map(function(n){var i=n[0],a=zPt(n[1]),o=a.toRgb();return{index:i,rgb:[o.r,o.g,o.b,o.a]}})}wPe.exports={formatColor:qPt,parseColorScale:BPt}});var vX=ye((Ypr,TPe)=>{\"use strict\";TPe.exports={solid:[[],0],dot:[[.5,1],200],dash:[[.5,1],50],longdash:[[.5,1],10],dashdot:[[.5,.625,.875,1],50],longdashdot:[[.5,.7,.8,1],10]}});var KD=ye((Kpr,APe)=>{\"use strict\";APe.exports={circle:\"\\u25CF\",\"circle-open\":\"\\u25CB\",square:\"\\u25A0\",\"square-open\":\"\\u25A1\",diamond:\"\\u25C6\",\"diamond-open\":\"\\u25C7\",cross:\"+\",x:\"\\u274C\"}});var MPe=ye((Jpr,SPe)=>{\"use strict\";var NPt=qa();function pX(e,t,r,n){if(!t||!t.visible)return null;for(var i=NPt.getComponentMethod(\"errorbars\",\"makeComputeError\")(t),a=new Array(e.length),o=0;o<e.length;o++){var s=i(+e[o],o);if(n.type===\"log\"){var l=n.c2l(e[o]),u=e[o]-s[0],c=e[o]+s[1];if(a[o]=[(n.c2l(u,!0)-l)*r,(n.c2l(c,!0)-l)*r],u>0){var f=n.c2l(u);n._lowerLogErrorBound||(n._lowerLogErrorBound=f),n._lowerErrorBound=Math.min(n._lowerLogErrorBound,f)}}else a[o]=[-s[0]*r,s[1]*r]}return a}function UPt(e){for(var t=0;t<e.length;t++)if(e[t])return e[t].length;return 0}function VPt(e,t,r){var n=[pX(e.x,e.error_x,t[0],r.xaxis),pX(e.y,e.error_y,t[1],r.yaxis),pX(e.z,e.error_z,t[2],r.zaxis)],i=UPt(n);if(i===0)return null;for(var a=new Array(i),o=0;o<i;o++){for(var s=[[0,0,0],[0,0,0]],l=0;l<3;l++)if(n[l])for(var u=0;u<2;u++)s[u][l]=n[l][o][u];a[o]=s}return a}SPe.exports=VPt});var FPe=ye(($pr,DPe)=>{\"use strict\";var GPt=Od().gl_line3d,EPe=Od().gl_scatter3d,HPt=Od().gl_error3d,jPt=Od().gl_mesh3d,WPt=Od().delaunay_triangulate,Qy=Dr(),IPe=Jy(),JD=$y().formatColor,XPt=S3(),gX=vX(),ZPt=KD(),YPt=ho(),KPt=rp().appendArrayPointValue,JPt=MPe();function RPe(e,t){this.scene=e,this.uid=t,this.linePlot=null,this.scatterPlot=null,this.errorBars=null,this.textMarkers=null,this.delaunayMesh=null,this.color=null,this.mode=\"\",this.dataPoints=[],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.textLabels=null,this.data=null}var yX=RPe.prototype;yX.handlePick=function(e){if(e.object&&(e.object===this.linePlot||e.object===this.delaunayMesh||e.object===this.textMarkers||e.object===this.scatterPlot)){var t=e.index=e.data.index;return e.object.highlight&&e.object.highlight(null),this.scatterPlot&&(e.object=this.scatterPlot,this.scatterPlot.highlight(e.data)),e.textLabel=\"\",this.textLabels&&(Qy.isArrayOrTypedArray(this.textLabels)?(this.textLabels[t]||this.textLabels[t]===0)&&(e.textLabel=this.textLabels[t]):e.textLabel=this.textLabels),e.traceCoordinate=[this.data.x[t],this.data.y[t],this.data.z[t]],!0}};function $Pt(e,t,r){var n=(r+1)%3,i=(r+2)%3,a=[],o=[],s;for(s=0;s<e.length;++s){var 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H=t._meta||{};_[L]=Qy.texttemplateString(O(L),G,P,Z,V,H)}}if(A={position:r,mode:t.mode,text:_},\"line\"in t&&(A.lineColor=JD(u,1,d),A.lineWidth=u.width,A.lineDashes=u.dash),\"marker\"in t){var N=XPt(t);A.scatterColor=JD(l,1,d),A.scatterSize=mX(l.size,d,tIt,20,N),A.scatterMarker=mX(l.symbol,d,rIt,\"\\u25CF\"),A.scatterLineWidth=l.line.width,A.scatterLineColor=JD(l.line,1,d),A.scatterAngle=0}\"textposition\"in t&&(A.textOffset=eIt(t.textposition),A.textColor=JD(t.textfont,1,d),A.textSize=mX(t.textfont.size,d,Qy.identity,12),A.textFontFamily=t.textfont.family,A.textFontWeight=t.textfont.weight,A.textFontStyle=t.textfont.style,A.textFontVariant=t.textfont.variant,A.textAngle=0);var j=[\"x\",\"y\",\"z\"];for(A.project=[!1,!1,!1],A.projectScale=[1,1,1],A.projectOpacity=[1,1,1],L=0;L<3;++L){var re=t.projection[j[L]];(A.project[L]=re.show)&&(A.projectOpacity[L]=re.opacity,A.projectScale[L]=re.scale)}A.errorBounds=JPt(t,i,n);var oe=QPt([t.error_x,t.error_y,t.error_z]);return A.errorColor=oe.color,A.errorLineWidth=oe.lineWidth,A.errorCapSize=oe.capSize,A.delaunayAxis=t.surfaceaxis,A.delaunayColor=IPe(t.surfacecolor),A}function LPe(e){if(Qy.isArrayOrTypedArray(e)){var t=e[0];return Qy.isArrayOrTypedArray(t)&&(e=t),\"rgb(\"+e.slice(0,3).map(function(r){return Math.round(r*255)})+\")\"}return null}function PPe(e){return Qy.isArrayOrTypedArray(e)?e.length===4&&typeof e[0]==\"number\"?LPe(e):e.map(LPe):null}yX.update=function(e){var t=this.scene.glplot.gl,r,n,i,a,o=gX.solid;this.data=e;var s=iIt(this.scene,e);\"mode\"in s&&(this.mode=s.mode),\"lineDashes\"in s&&s.lineDashes in gX&&(o=gX[s.lineDashes]),this.color=PPe(s.scatterColor)||PPe(s.lineColor),this.dataPoints=s.position,r={gl:this.scene.glplot.gl,position:s.position,color:s.lineColor,lineWidth:s.lineWidth||1,dashes:o[0],dashScale:o[1],opacity:e.opacity,connectGaps:e.connectgaps},this.mode.indexOf(\"lines\")!==-1?this.linePlot?this.linePlot.update(r):(this.linePlot=GPt(r),this.linePlot._trace=this,this.scene.glplot.add(this.linePlot)):this.linePlot&&(this.scene.glplot.remove(this.linePlot),this.linePlot.dispose(),this.linePlot=null);var l=e.opacity;if(e.marker&&e.marker.opacity!==void 0&&(l*=e.marker.opacity),n={gl:this.scene.glplot.gl,position:s.position,color:s.scatterColor,size:s.scatterSize,glyph:s.scatterMarker,opacity:l,orthographic:!0,lineWidth:s.scatterLineWidth,lineColor:s.scatterLineColor,project:s.project,projectScale:s.projectScale,projectOpacity:s.projectOpacity},this.mode.indexOf(\"markers\")!==-1?this.scatterPlot?this.scatterPlot.update(n):(this.scatterPlot=EPe(n),this.scatterPlot._trace=this,this.scatterPlot.highlightScale=1,this.scene.glplot.add(this.scatterPlot)):this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose(),this.scatterPlot=null),a={gl:this.scene.glplot.gl,position:s.position,glyph:s.text,color:s.textColor,size:s.textSize,angle:s.textAngle,alignment:s.textOffset,font:s.textFontFamily,fontWeight:s.textFontWeight,fontStyle:s.textFontStyle,fontVariant:s.textFontVariant,orthographic:!0,lineWidth:0,project:!1,opacity:e.opacity},this.textLabels=e.hovertext||e.text,this.mode.indexOf(\"text\")!==-1?this.textMarkers?this.textMarkers.update(a):(this.textMarkers=EPe(a),this.textMarkers._trace=this,this.textMarkers.highlightScale=1,this.scene.glplot.add(this.textMarkers)):this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose(),this.textMarkers=null),i={gl:this.scene.glplot.gl,position:s.position,color:s.errorColor,error:s.errorBounds,lineWidth:s.errorLineWidth,capSize:s.errorCapSize,opacity:e.opacity},this.errorBars?s.errorBounds?this.errorBars.update(i):(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose(),this.errorBars=null):s.errorBounds&&(this.errorBars=HPt(i),this.errorBars._trace=this,this.scene.glplot.add(this.errorBars)),s.delaunayAxis>=0){var u=$Pt(s.position,s.delaunayColor,s.delaunayAxis);u.opacity=e.opacity,this.delaunayMesh?this.delaunayMesh.update(u):(u.gl=t,this.delaunayMesh=jPt(u),this.delaunayMesh._trace=this,this.scene.glplot.add(this.delaunayMesh))}else this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose(),this.delaunayMesh=null)};yX.dispose=function(){this.linePlot&&(this.scene.glplot.remove(this.linePlot),this.linePlot.dispose()),this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose()),this.errorBars&&(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose()),this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose()),this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose())};function nIt(e,t){var r=new RPe(e,t.uid);return r.update(t),r}DPe.exports=nIt});var TX=ye((Qpr,qPe)=>{\"use strict\";var e1=pf(),aIt=ec(),wX=Tu(),_X=df().axisHoverFormat,oIt=Qo().hovertemplateAttrs,sIt=Qo().texttemplateAttrs,zPe=Vl(),lIt=vX(),uIt=KD(),Yg=Ao().extendFlat,cIt=mc().overrideAll,OPe=Y1(),fIt=e1.line,N2=e1.marker,hIt=N2.line,dIt=Yg({width:fIt.width,dash:{valType:\"enumerated\",values:OPe(lIt),dflt:\"solid\"}},wX(\"line\"));function xX(e){return{show:{valType:\"boolean\",dflt:!1},opacity:{valType:\"number\",min:0,max:1,dflt:1},scale:{valType:\"number\",min:0,max:10,dflt:2/3}}}var bX=qPe.exports=cIt({x:e1.x,y:e1.y,z:{valType:\"data_array\"},text:Yg({},e1.text,{}),texttemplate:sIt({},{}),hovertext:Yg({},e1.hovertext,{}),hovertemplate:oIt(),xhoverformat:_X(\"x\"),yhoverformat:_X(\"y\"),zhoverformat:_X(\"z\"),mode:Yg({},e1.mode,{dflt:\"lines+markers\"}),surfaceaxis:{valType:\"enumerated\",values:[-1,0,1,2],dflt:-1},surfacecolor:{valType:\"color\"},projection:{x:xX(\"x\"),y:xX(\"y\"),z:xX(\"z\")},connectgaps:e1.connectgaps,line:dIt,marker:Yg({symbol:{valType:\"enumerated\",values:OPe(uIt),dflt:\"circle\",arrayOk:!0},size:Yg({},N2.size,{dflt:8}),sizeref:N2.sizeref,sizemin:N2.sizemin,sizemode:N2.sizemode,opacity:Yg({},N2.opacity,{arrayOk:!1}),colorbar:N2.colorbar,line:Yg({width:Yg({},hIt.width,{arrayOk:!1})},wX(\"marker.line\"))},wX(\"marker\")),textposition:Yg({},e1.textposition,{dflt:\"top 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s=(r.line||{}).color,l=(r.marker||{}).color;a(\"surfaceaxis\")>=0&&a(\"surfacecolor\",s||l);for(var u=[\"x\",\"y\",\"z\"],c=0;c<3;++c){var f=\"projection.\"+u[c];a(f+\".show\")&&(a(f+\".opacity\"),a(f+\".scale\"))}var h=BPe.getComponentMethod(\"errorbars\",\"supplyDefaults\");h(t,r,s||l||n,{axis:\"z\"}),h(t,r,s||l||n,{axis:\"y\",inherit:\"z\"}),h(t,r,s||l||n,{axis:\"x\",inherit:\"z\"})};function _It(e,t,r,n){var i=0,a=r(\"x\"),o=r(\"y\"),s=r(\"z\"),l=BPe.getComponentMethod(\"calendars\",\"handleTraceDefaults\");return l(e,t,[\"x\",\"y\",\"z\"],n),a&&o&&s&&(i=Math.min(a.length,o.length,s.length),t._length=t._xlength=t._ylength=t._zlength=i),i}});var GPe=ye((t0r,VPe)=>{\"use strict\";var xIt=Cm(),bIt=F0();VPe.exports=function(t,r){var n=[{x:!1,y:!1,trace:r,t:{}}];return xIt(n,r),bIt(t,r),n}});var jPe=ye((r0r,HPe)=>{HPe.exports=wIt;function wIt(e,t){if(typeof e!=\"string\")throw new TypeError(\"must specify type string\");if(t=t||{},typeof document==\"undefined\"&&!t.canvas)return null;var r=t.canvas||document.createElement(\"canvas\");typeof t.width==\"number\"&&(r.width=t.width),typeof t.height==\"number\"&&(r.height=t.height);var n=t,i;try{var a=[e];e.indexOf(\"webgl\")===0&&a.push(\"experimental-\"+e);for(var o=0;o<a.length;o++)if(i=r.getContext(a[o],n),i)return i}catch(s){i=null}return i||null}});var XPe=ye((i0r,WPe)=>{var TIt=jPe();WPe.exports=function(t){return TIt(\"webgl\",t)}});var SX=ye((n0r,YPe)=>{\"use strict\";var ZPe=Ca(),AIt=function(){};YPe.exports=function(t){for(var r in t)typeof t[r]==\"function\"&&(t[r]=AIt);t.destroy=function(){t.container.parentNode.removeChild(t.container)};var n=document.createElement(\"div\");n.className=\"no-webgl\",n.style.cursor=\"pointer\",n.style.fontSize=\"24px\",n.style.color=ZPe.defaults[0],n.style.position=\"absolute\",n.style.left=n.style.top=\"0px\",n.style.width=n.style.height=\"100%\",n.style[\"background-color\"]=ZPe.lightLine,n.style[\"z-index\"]=30;var i=document.createElement(\"p\");return i.textContent=\"WebGL is not supported by your browser - visit https://get.webgl.org for more info\",i.style.position=\"relative\",i.style.top=\"50%\",i.style.left=\"50%\",i.style.height=\"30%\",i.style.width=\"50%\",i.style.margin=\"-15% 0 0 -25%\",n.appendChild(i),t.container.appendChild(n),t.container.style.background=\"#FFFFFF\",t.container.onclick=function(){window.open(\"https://get.webgl.org\")},!1}});var $Pe=ye((a0r,JPe)=>{\"use strict\";var U2=Jy(),SIt=Dr(),MIt=[\"xaxis\",\"yaxis\",\"zaxis\"];function KPe(){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()}var EIt=KPe.prototype;EIt.merge=function(e,t){for(var r=this,n=0;n<3;++n){var i=t[MIt[n]];if(!i.visible){r.tickEnable[n]=!1,r.labelEnable[n]=!1,r.lineEnable[n]=!1,r.lineTickEnable[n]=!1,r.gridEnable[n]=!1,r.zeroEnable[n]=!1,r.backgroundEnable[n]=!1;continue}r.labels[n]=e._meta?SIt.templateString(i.title.text,e._meta):i.title.text,\"font\"in i.title&&(i.title.font.color&&(r.labelColor[n]=U2(i.title.font.color)),i.title.font.family&&(r.labelFont[n]=i.title.font.family),i.title.font.size&&(r.labelSize[n]=i.title.font.size),i.title.font.weight&&(r.labelFontWeight[n]=i.title.font.weight),i.title.font.style&&(r.labelFontStyle[n]=i.title.font.style),i.title.font.variant&&(r.labelFontVariant[n]=i.title.font.variant)),\"showline\"in i&&(r.lineEnable[n]=i.showline),\"linecolor\"in i&&(r.lineColor[n]=U2(i.linecolor)),\"linewidth\"in i&&(r.lineWidth[n]=i.linewidth),\"showgrid\"in i&&(r.gridEnable[n]=i.showgrid),\"gridcolor\"in i&&(r.gridColor[n]=U2(i.gridcolor)),\"gridwidth\"in i&&(r.gridWidth[n]=i.gridwidth),i.type===\"log\"?r.zeroEnable[n]=!1:\"zeroline\"in i&&(r.zeroEnable[n]=i.zeroline),\"zerolinecolor\"in i&&(r.zeroLineColor[n]=U2(i.zerolinecolor)),\"zerolinewidth\"in i&&(r.zeroLineWidth[n]=i.zerolinewidth),\"ticks\"in i&&i.ticks?r.lineTickEnable[n]=!0:r.lineTickEnable[n]=!1,\"ticklen\"in i&&(r.lineTickLength[n]=r._defaultLineTickLength[n]=i.ticklen),\"tickcolor\"in i&&(r.lineTickColor[n]=U2(i.tickcolor)),\"tickwidth\"in i&&(r.lineTickWidth[n]=i.tickwidth),\"tickangle\"in i&&(r.tickAngle[n]=i.tickangle===\"auto\"?-3600:Math.PI*-i.tickangle/180),\"showticklabels\"in i&&(r.tickEnable[n]=i.showticklabels),\"tickfont\"in i&&(i.tickfont.color&&(r.tickColor[n]=U2(i.tickfont.color)),i.tickfont.family&&(r.tickFont[n]=i.tickfont.family),i.tickfont.size&&(r.tickSize[n]=i.tickfont.size),i.tickfont.weight&&(r.tickFontWeight[n]=i.tickfont.weight),i.tickfont.style&&(r.tickFontStyle[n]=i.tickfont.style),i.tickfont.variant&&(r.tickFontVariant[n]=i.tickfont.variant)),\"mirror\"in i?[\"ticks\",\"all\",\"allticks\"].indexOf(i.mirror)!==-1?(r.lineTickMirror[n]=!0,r.lineMirror[n]=!0):i.mirror===!0?(r.lineTickMirror[n]=!1,r.lineMirror[n]=!0):(r.lineTickMirror[n]=!1,r.lineMirror[n]=!1):r.lineMirror[n]=!1,\"showbackground\"in i&&i.showbackground!==!1?(r.backgroundEnable[n]=!0,r.backgroundColor[n]=U2(i.backgroundcolor)):r.backgroundEnable[n]=!1}};function CIt(e,t){var r=new KPe;return r.merge(e,t),r}JPe.exports=CIt});var tIe=ye((o0r,eIe)=>{\"use strict\";var kIt=Jy(),LIt=[\"xaxis\",\"yaxis\",\"zaxis\"];function QPe(){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]}var PIt=QPe.prototype;PIt.merge=function(e){for(var t=0;t<3;++t){var r=e[LIt[t]];if(!r.visible){this.enabled[t]=!1,this.drawSides[t]=!1;continue}this.enabled[t]=r.showspikes,this.colors[t]=kIt(r.spikecolor),this.drawSides[t]=r.spikesides,this.lineWidth[t]=r.spikethickness}};function IIt(e){var t=new QPe;return t.merge(e),t}eIe.exports=IIt});var nIe=ye((s0r,iIe)=>{\"use strict\";iIe.exports=OIt;var rIe=ho(),RIt=Dr(),DIt=[\"xaxis\",\"yaxis\",\"zaxis\"],FIt=[0,0,0];function zIt(e){for(var t=new Array(3),r=0;r<3;++r){for(var n=e[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;t[r]=i}return t}function OIt(e){for(var t=e.axesOptions,r=e.glplot.axesPixels,n=e.fullSceneLayout,i=[[],[],[]],a=0;a<3;++a){var o=n[DIt[a]];if(o._length=(r[a].hi-r[a].lo)*r[a].pixelsPerDataUnit/e.dataScale[a],Math.abs(o._length)===1/0||isNaN(o._length))i[a]=[];else{o._input_range=o.range.slice(),o.range[0]=r[a].lo/e.dataScale[a],o.range[1]=r[a].hi/e.dataScale[a],o._m=1/(e.dataScale[a]*r[a].pixelsPerDataUnit),o.range[0]===o.range[1]&&(o.range[0]-=1,o.range[1]+=1);var s=o.tickmode;if(o.tickmode===\"auto\"){o.tickmode=\"linear\";var l=o.nticks||RIt.constrain(o._length/40,4,9);rIe.autoTicks(o,Math.abs(o.range[1]-o.range[0])/l)}for(var u=rIe.calcTicks(o,{msUTC:!0}),c=0;c<u.length;++c)u[c].x=u[c].x*e.dataScale[a],o.type===\"date\"&&(u[c].text=u[c].text.replace(/\\<br\\>/g,\" \"));i[a]=u,o.tickmode=s}}t.ticks=i;for(var a=0;a<3;++a){FIt[a]=.5*(e.glplot.bounds[0][a]+e.glplot.bounds[1][a]);for(var c=0;c<2;++c)t.bounds[c][a]=e.glplot.bounds[c][a]}e.contourLevels=zIt(i)}});var fIe=ye((l0r,cIe)=>{\"use strict\";var sIe=Od().gl_plot3d,qIt=sIe.createCamera,aIe=sIe.createScene,BIt=XPe(),NIt=PL(),eF=qa(),lp=Dr(),QD=lp.preserveDrawingBuffer(),tF=ho(),Kg=vf(),UIt=Jy(),VIt=SX(),GIt=qU(),HIt=$Pe(),jIt=tIe(),WIt=nIe(),XIt=wg().applyAutorangeOptions,ZE,$D,lIe=!1;function uIe(e,t){var r=document.createElement(\"div\"),n=e.container;this.graphDiv=e.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=e.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=t,this.id=e.id||\"scene\",this.fullSceneLayout=t[this.id],this.plotArgs=[[],{},{}],this.axesOptions=HIt(t,t[this.id]),this.spikeOptions=jIt(t[this.id]),this.container=r,this.staticMode=!!e.staticPlot,this.pixelRatio=this.pixelRatio||e.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=eF.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=eF.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var wv=uIe.prototype;wv.prepareOptions=function(){var e=this,t={canvas:e.canvas,gl:e.gl,glOptions:{preserveDrawingBuffer:QD,premultipliedAlpha:!0,antialias:!0},container:e.container,axes:e.axesOptions,spikes:e.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:e.camera,pixelRatio:e.pixelRatio};if(e.staticMode){if(!$D&&(ZE=document.createElement(\"canvas\"),$D=BIt({canvas:ZE,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}),!$D))throw new Error(\"error creating static canvas/context for image server\");t.gl=$D,t.canvas=ZE}return t};var oIe=!0;wv.tryCreatePlot=function(){var e=this,t=e.prepareOptions(),r=!0;try{e.glplot=aIe(t)}catch(n){if(e.staticMode||!oIe||QD)r=!1;else{lp.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{QD=t.glOptions.preserveDrawingBuffer=!0,e.glplot=aIe(t)}catch(i){QD=t.glOptions.preserveDrawingBuffer=!1,r=!1}}}return oIe=!1,r};wv.initializeGLCamera=function(){var e=this,t=e.fullSceneLayout.camera,r=t.projection.type===\"orthographic\";e.camera=qIt(e.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:\"orbit\"})};wv.initializeGLPlot=function(){var e=this;e.initializeGLCamera();var t=e.tryCreatePlot();if(!t)return VIt(e);e.traces={},e.make4thDimension();var r=e.graphDiv,n=r.layout,i=function(){var o={};return e.isCameraChanged(n)&&(o[e.id+\".camera\"]=e.getCamera()),e.isAspectChanged(n)&&(o[e.id+\".aspectratio\"]=e.glplot.getAspectratio(),n[e.id].aspectmode!==\"manual\"&&(e.fullSceneLayout.aspectmode=n[e.id].aspectmode=o[e.id+\".aspectmode\"]=\"manual\")),o},a=function(o){if(o.fullSceneLayout.dragmode!==!1){var s=i();o.saveLayout(n),o.graphDiv.emit(\"plotly_relayout\",s)}};return e.glplot.canvas&&(e.glplot.canvas.addEventListener(\"mouseup\",function(){a(e)}),e.glplot.canvas.addEventListener(\"touchstart\",function(){lIe=!0}),e.glplot.canvas.addEventListener(\"wheel\",function(o){if(r._context._scrollZoom.gl3d){if(e.camera._ortho){var s=o.deltaX>o.deltaY?1.1:.9090909090909091,l=e.glplot.getAspectratio();e.glplot.setAspectratio({x:s*l.x,y:s*l.y,z:s*l.z})}a(e)}},NIt?{passive:!1}:!1),e.glplot.canvas.addEventListener(\"mousemove\",function(){if(e.fullSceneLayout.dragmode!==!1&&e.camera.mouseListener.buttons!==0){var o=i();e.graphDiv.emit(\"plotly_relayouting\",o)}}),e.staticMode||e.glplot.canvas.addEventListener(\"webglcontextlost\",function(o){r&&r.emit&&r.emit(\"plotly_webglcontextlost\",{event:o,layer:e.id})},!1)),e.glplot.oncontextloss=function(){e.recoverContext()},e.glplot.onrender=function(){e.render()},!0};wv.render=function(){var e=this,t=e.graphDiv,r,n=e.svgContainer,i=e.container.getBoundingClientRect();t._fullLayout._calcInverseTransform(t);var a=t._fullLayout._invScaleX,o=t._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),WIt(e),e.glplot.axes.update(e.axesOptions);for(var u=Object.keys(e.traces),c=null,f=e.glplot.selection,h=0;h<u.length;++h)r=e.traces[u[h]],r.data.hoverinfo!==\"skip\"&&r.handlePick(f)&&(c=r),r.setContourLevels&&r.setContourLevels();function d(P,T,z){var O=e.fullSceneLayout[P+\"axis\"];return O.type!==\"log\"&&(T=O.d2l(T)),tF.hoverLabelText(O,T,z)}if(c!==null){var v=GIt(e.glplot.cameraParams,f.dataCoordinate);r=c.data;var x=t._fullData[r.index],b=f.index,p={xLabel:d(\"x\",f.traceCoordinate[0],r.xhoverformat),yLabel:d(\"y\",f.traceCoordinate[1],r.yhoverformat),zLabel:d(\"z\",f.traceCoordinate[2],r.zhoverformat)},C=Kg.castHoverinfo(x,e.fullLayout,b),E=(C||\"\").split(\"+\"),A=C&&C===\"all\";!x.hovertemplate&&!A&&(E.indexOf(\"x\")===-1&&(p.xLabel=void 0),E.indexOf(\"y\")===-1&&(p.yLabel=void 0),E.indexOf(\"z\")===-1&&(p.zLabel=void 0),E.indexOf(\"text\")===-1&&(f.textLabel=void 0),E.indexOf(\"name\")===-1&&(c.name=void 0));var L,_=[];r.type===\"cone\"||r.type===\"streamtube\"?(p.uLabel=d(\"x\",f.traceCoordinate[3],r.uhoverformat),(A||E.indexOf(\"u\")!==-1)&&_.push(\"u: \"+p.uLabel),p.vLabel=d(\"y\",f.traceCoordinate[4],r.vhoverformat),(A||E.indexOf(\"v\")!==-1)&&_.push(\"v: \"+p.vLabel),p.wLabel=d(\"z\",f.traceCoordinate[5],r.whoverformat),(A||E.indexOf(\"w\")!==-1)&&_.push(\"w: \"+p.wLabel),p.normLabel=f.traceCoordinate[6].toPrecision(3),(A||E.indexOf(\"norm\")!==-1)&&_.push(\"norm: \"+p.normLabel),r.type===\"streamtube\"&&(p.divergenceLabel=f.traceCoordinate[7].toPrecision(3),(A||E.indexOf(\"divergence\")!==-1)&&_.push(\"divergence: \"+p.divergenceLabel)),f.textLabel&&_.push(f.textLabel),L=_.join(\"<br>\")):r.type===\"isosurface\"||r.type===\"volume\"?(p.valueLabel=tF.hoverLabelText(e._mockAxis,e._mockAxis.d2l(f.traceCoordinate[3]),r.valuehoverformat),_.push(\"value: \"+p.valueLabel),f.textLabel&&_.push(f.textLabel),L=_.join(\"<br>\")):L=f.textLabel;var k={x:f.traceCoordinate[0],y:f.traceCoordinate[1],z:f.traceCoordinate[2],data:x._input,fullData:x,curveNumber:x.index,pointNumber:b};Kg.appendArrayPointValue(k,x,b),r._module.eventData&&(k=x._module.eventData(k,f,x,{},b));var M={points:[k]};if(e.fullSceneLayout.hovermode){var g=[];Kg.loneHover({trace:x,x:(.5+.5*v[0]/v[3])*s,y:(.5-.5*v[1]/v[3])*l,xLabel:p.xLabel,yLabel:p.yLabel,zLabel:p.zLabel,text:L,name:c.name,color:Kg.castHoverOption(x,b,\"bgcolor\")||c.color,borderColor:Kg.castHoverOption(x,b,\"bordercolor\"),fontFamily:Kg.castHoverOption(x,b,\"font.family\"),fontSize:Kg.castHoverOption(x,b,\"font.size\"),fontColor:Kg.castHoverOption(x,b,\"font.color\"),nameLength:Kg.castHoverOption(x,b,\"namelength\"),textAlign:Kg.castHoverOption(x,b,\"align\"),hovertemplate:lp.castOption(x,b,\"hovertemplate\"),hovertemplateLabels:lp.extendFlat({},k,p),eventData:[k]},{container:n,gd:t,inOut_bbox:g}),k.bbox=g[0]}f.distance<5&&(f.buttons||lIe)?t.emit(\"plotly_click\",M):t.emit(\"plotly_hover\",M),this.oldEventData=M}else Kg.loneUnhover(n),this.oldEventData&&t.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)};wv.recoverContext=function(){var e=this;e.glplot.dispose();var t=function(){if(e.glplot.gl.isContextLost()){requestAnimationFrame(t);return}if(!e.initializeGLPlot()){lp.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\");return}e.plot.apply(e,e.plotArgs)};requestAnimationFrame(t)};var YE=[\"xaxis\",\"yaxis\",\"zaxis\"];function ZIt(e,t,r){for(var n=e.fullSceneLayout,i=0;i<3;i++){var a=YE[i],o=a.charAt(0),s=n[a],l=t[o],u=t[o+\"calendar\"],c=t[\"_\"+o+\"length\"];if(!lp.isArrayOrTypedArray(l))r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],c-1);else for(var f,h=0;h<(c||l.length);h++)if(lp.isArrayOrTypedArray(l[h]))for(var d=0;d<l[h].length;++d)f=s.d2l(l[h][d],0,u),!isNaN(f)&&isFinite(f)&&(r[0][i]=Math.min(r[0][i],f),r[1][i]=Math.max(r[1][i],f));else f=s.d2l(l[h],0,u),!isNaN(f)&&isFinite(f)&&(r[0][i]=Math.min(r[0][i],f),r[1][i]=Math.max(r[1][i],f))}}function YIt(e,t){for(var r=e.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=YE[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var u=n[l];if(u.visible){var c=s.r2l(u[o]);!isNaN(c)&&isFinite(c)&&(t[0][i]=Math.min(t[0][i],c),t[1][i]=Math.max(t[1][i],c))}}}wv.plot=function(e,t,r){var n=this;if(n.plotArgs=[e,t,r],!n.glplot.contextLost){var i,a,o,s,l,u,c=t[n.id],f=r[n.id];n.fullLayout=t,n.fullSceneLayout=c,n.axesOptions.merge(t,c),n.spikeOptions.merge(c),n.setViewport(c),n.updateFx(c.dragmode,c.hovermode),n.camera.enableWheel=n.graphDiv._context._scrollZoom.gl3d,n.glplot.setClearColor(UIt(c.bgcolor)),n.setConvert(l),e?Array.isArray(e)||(e=[e]):e=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(o=0;o<e.length;++o)i=e[o],!(i.visible!==!0||i._length===0)&&ZIt(this,i,h);YIt(this,h);var d=[1,1,1];for(s=0;s<3;++s)h[1][s]===h[0][s]?d[s]=1:d[s]=1/(h[1][s]-h[0][s]);for(n.dataScale=d,n.convertAnnotations(this),o=0;o<e.length;++o)i=e[o],!(i.visible!==!0||i._length===0)&&(a=n.traces[i.uid],a?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 v=Object.keys(n.traces);e:for(o=0;o<v.length;++o){for(s=0;s<e.length;++s)if(e[s].uid===v[o]&&e[s].visible===!0&&e[s]._length!==0)continue e;a=n.traces[v[o]],a.dispose(),delete n.traces[v[o]]}n.glplot.objects.sort(function(oe,_e){return oe._trace.data.index-_e._trace.data.index});var x=[[0,0,0],[0,0,0]],b=[],p={};for(o=0;o<3;++o){l=c[YE[o]],u=l.type,u in p?(p[u].acc*=d[o],p[u].count+=1):p[u]={acc:d[o],count:1};var C;if(l.autorange){x[0][o]=1/0,x[1][o]=-1/0;var E=n.glplot.objects,A=n.fullSceneLayout.annotations||[],L=l._name.charAt(0);for(s=0;s<E.length;s++){var _=E[s],k=_.bounds,M=_._trace.data._pad||0;_.constructor.name===\"ErrorBars\"&&l._lowerLogErrorBound?x[0][o]=Math.min(x[0][o],l._lowerLogErrorBound):x[0][o]=Math.min(x[0][o],k[0][o]/d[o]-M),x[1][o]=Math.max(x[1][o],k[1][o]/d[o]+M)}for(s=0;s<A.length;s++){var g=A[s];if(g.visible){var P=l.r2l(g[L]);x[0][o]=Math.min(x[0][o],P),x[1][o]=Math.max(x[1][o],P)}}if(\"rangemode\"in l&&l.rangemode===\"tozero\"&&(x[0][o]=Math.min(x[0][o],0),x[1][o]=Math.max(x[1][o],0)),x[0][o]>x[1][o])x[0][o]=-1,x[1][o]=1;else{var T=x[1][o]-x[0][o];x[0][o]-=T/32,x[1][o]+=T/32}if(C=[x[0][o],x[1][o]],C=XIt(C,l),x[0][o]=C[0],x[1][o]=C[1],l.isReversed()){var z=x[0][o];x[0][o]=x[1][o],x[1][o]=z}}else C=l.range,x[0][o]=l.r2l(C[0]),x[1][o]=l.r2l(C[1]);x[0][o]===x[1][o]&&(x[0][o]-=1,x[1][o]+=1),b[o]=x[1][o]-x[0][o],l.range=[x[0][o],x[1][o]],l.limitRange(),n.glplot.setBounds(o,{min:l.range[0]*d[o],max:l.range[1]*d[o]})}var O,V=c.aspectmode;if(V===\"cube\")O=[1,1,1];else if(V===\"manual\"){var G=c.aspectratio;O=[G.x,G.y,G.z]}else if(V===\"auto\"||V===\"data\"){var Z=[1,1,1];for(o=0;o<3;++o){l=c[YE[o]],u=l.type;var H=p[u];Z[o]=Math.pow(H.acc,1/H.count)/d[o]}V===\"data\"||Math.max.apply(null,Z)/Math.min.apply(null,Z)<=4?O=Z:O=[1,1,1]}else throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");c.aspectratio.x=f.aspectratio.x=O[0],c.aspectratio.y=f.aspectratio.y=O[1],c.aspectratio.z=f.aspectratio.z=O[2],n.glplot.setAspectratio(c.aspectratio),n.viewInitial.aspectratio||(n.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),n.viewInitial.aspectmode||(n.viewInitial.aspectmode=c.aspectmode);var N=c.domain||null,j=t._size||null;if(N&&j){var re=n.container.style;re.position=\"absolute\",re.left=j.l+N.x[0]*j.w+\"px\",re.top=j.t+(1-N.y[1])*j.h+\"px\",re.width=j.w*(N.x[1]-N.x[0])+\"px\",re.height=j.h*(N.y[1]-N.y[0])+\"px\"}n.glplot.redraw()}};wv.destroy=function(){var e=this;e.glplot&&(e.camera.mouseListener.enabled=!1,e.container.removeEventListener(\"wheel\",e.camera.wheelListener),e.camera=null,e.glplot.dispose(),e.container.parentNode.removeChild(e.container),e.glplot=null)};function KIt(e){return[[e.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]]}function JIt(e){return{up:{x:e.up[0],y:e.up[1],z:e.up[2]},center:{x:e.center[0],y:e.center[1],z:e.center[2]},eye:{x:e.eye[0],y:e.eye[1],z:e.eye[2]},projection:{type:e._ortho===!0?\"orthographic\":\"perspective\"}}}wv.getCamera=function(){var e=this;return e.camera.view.recalcMatrix(e.camera.view.lastT()),JIt(e.camera)};wv.setViewport=function(e){var t=this,r=e.camera;t.camera.lookAt.apply(this,KIt(r)),t.glplot.setAspectratio(e.aspectratio);var n=r.projection.type===\"orthographic\",i=t.camera._ortho;n!==i&&(t.glplot.redraw(),t.glplot.clearRGBA(),t.glplot.dispose(),t.initializeGLPlot())};wv.isCameraChanged=function(e){var t=this,r=t.getCamera(),n=lp.nestedProperty(e,t.id+\".camera\"),i=n.get();function a(u,c,f,h){var d=[\"up\",\"center\",\"eye\"],v=[\"x\",\"y\",\"z\"];return c[d[f]]&&u[d[f]][v[h]]===c[d[f]][v[h]]}var o=!1;if(i===void 0)o=!0;else{for(var s=0;s<3;s++)for(var l=0;l<3;l++)if(!a(r,i,s,l)){o=!0;break}(!i.projection||r.projection&&r.projection.type!==i.projection.type)&&(o=!0)}return o};wv.isAspectChanged=function(e){var t=this,r=t.glplot.getAspectratio(),n=lp.nestedProperty(e,t.id+\".aspectratio\"),i=n.get();return i===void 0||i.x!==r.x||i.y!==r.y||i.z!==r.z};wv.saveLayout=function(e){var t=this,r=t.fullLayout,n,i,a,o,s,l,u=t.isCameraChanged(e),c=t.isAspectChanged(e),f=u||c;if(f){var h={};if(u&&(n=t.getCamera(),i=lp.nestedProperty(e,t.id+\".camera\"),a=i.get(),h[t.id+\".camera\"]=a),c&&(o=t.glplot.getAspectratio(),s=lp.nestedProperty(e,t.id+\".aspectratio\"),l=s.get(),h[t.id+\".aspectratio\"]=l),eF.call(\"_storeDirectGUIEdit\",e,r._preGUI,h),u){i.set(n);var d=lp.nestedProperty(r,t.id+\".camera\");d.set(n)}if(c){s.set(o);var v=lp.nestedProperty(r,t.id+\".aspectratio\");v.set(o),t.glplot.redraw()}}return f};wv.updateFx=function(e,t){var r=this,n=r.camera;if(n)if(e===\"orbit\")n.mode=\"orbit\",n.keyBindingMode=\"rotate\";else if(e===\"turntable\"){n.up=[0,0,1],n.mode=\"turntable\",n.keyBindingMode=\"rotate\";var i=r.graphDiv,a=i._fullLayout,o=r.fullSceneLayout.camera,s=o.up.x,l=o.up.y,u=o.up.z;if(u/Math.sqrt(s*s+l*l+u*u)<.999){var c=r.id+\".camera.up\",f={x:0,y:0,z:1},h={};h[c]=f;var d=i.layout;eF.call(\"_storeDirectGUIEdit\",d,a._preGUI,h),o.up=f,lp.nestedProperty(d,c).set(f)}}else n.keyBindingMode=e;r.fullSceneLayout.hovermode=t};function $It(e,t,r){for(var n=0,i=r-1;n<i;++n,--i)for(var a=0;a<t;++a)for(var o=0;o<4;++o){var s=4*(t*n+a)+o,l=4*(t*i+a)+o,u=e[s];e[s]=e[l],e[l]=u}}function QIt(e,t,r){for(var n=0;n<r;++n)for(var i=0;i<t;++i){var a=4*(t*n+i),o=e[a+3];if(o>0)for(var s=255/o,l=0;l<3;++l)e[a+l]=Math.min(s*e[a+l],255)}}wv.toImage=function(e){var t=this;e||(e=\"png\"),t.staticMode&&t.container.appendChild(ZE),t.glplot.redraw();var r=t.glplot.gl,n=r.drawingBufferWidth,i=r.drawingBufferHeight;r.bindFramebuffer(r.FRAMEBUFFER,null);var a=new Uint8Array(n*i*4);r.readPixels(0,0,n,i,r.RGBA,r.UNSIGNED_BYTE,a),$It(a,n,i),QIt(a,n,i);var o=document.createElement(\"canvas\");o.width=n,o.height=i;var s=o.getContext(\"2d\",{willReadFrequently:!0}),l=s.createImageData(n,i);l.data.set(a),s.putImageData(l,0,0);var u;switch(e){case\"jpeg\":u=o.toDataURL(\"image/jpeg\");break;case\"webp\":u=o.toDataURL(\"image/webp\");break;default:u=o.toDataURL(\"image/png\")}return t.staticMode&&t.container.removeChild(ZE),u};wv.setConvert=function(){for(var e=this,t=0;t<3;t++){var r=e.fullSceneLayout[YE[t]];tF.setConvert(r,e.fullLayout),r.setScale=lp.noop}};wv.make4thDimension=function(){var e=this,t=e.graphDiv,r=t._fullLayout;e._mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},tF.setConvert(e._mockAxis,r)};cIe.exports=uIe});var dIe=ye((u0r,hIe)=>{\"use strict\";hIe.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}});var EX=ye((c0r,vIe)=>{\"use strict\";var e8t=Ca(),bs=Rd(),MX=Ao().extendFlat,t8t=mc().overrideAll;vIe.exports=t8t({visible:bs.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:e8t.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 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204, 204)\"}),gridwidth:bs.gridwidth,zeroline:bs.zeroline,zerolinecolor:bs.zerolinecolor,zerolinewidth:bs.zerolinewidth},\"plot\",\"from-root\")});var PX=ye((f0r,pIe)=>{\"use strict\";var CX=EX(),r8t=kc().attributes,kX=Ao().extendFlat,i8t=Dr().counterRegex;function LX(e,t,r){return{x:{valType:\"number\",dflt:e,editType:\"camera\"},y:{valType:\"number\",dflt:t,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}pIe.exports={_arrayAttrRegexps:[i8t(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:kX(LX(0,0,1),{}),center:kX(LX(0,0,0),{}),eye:kX(LX(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:r8t({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:CX,yaxis:CX,zaxis:CX,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\"}});var _Ie=ye((h0r,yIe)=>{\"use strict\";var n8t=cd().mix,gIe=Dr(),a8t=pl(),o8t=EX(),s8t=wU(),l8t=t4(),mIe=[\"xaxis\",\"yaxis\",\"zaxis\"],u8t=100*136/187;yIe.exports=function(t,r,n){var i,a;function o(u,c){return gIe.coerce(i,a,o8t,u,c)}for(var s=0;s<mIe.length;s++){var l=mIe[s];i=t[l]||{},a=a8t.newContainer(r,l),a._id=l[0]+n.scene,a._name=l,s8t(i,a,o,n),l8t(i,a,o,{font:n.font,letter:l[0],data:n.data,showGrid:!0,noAutotickangles:!0,noMinorloglabels:!0,noTicklabelindex:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelshift:!0,noTicklabelstandoff:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,noInsiderange:!0,noUnifiedhovertitle:!0,bgColor:n.bgColor,calendar:n.calendar},n.fullLayout),o(\"gridcolor\",n8t(a.color,n.bgColor,u8t).toRgbString()),o(\"title.text\",l[0]),a.setScale=gIe.noop,o(\"showspikes\")&&(o(\"spikesides\"),o(\"spikethickness\"),o(\"spikecolor\",a.color)),o(\"showaxeslabels\"),o(\"showbackground\")&&o(\"backgroundcolor\")}}});var TIe=ye((d0r,wIe)=>{\"use strict\";var c8t=Dr(),f8t=Ca(),h8t=qa(),d8t=k_(),v8t=_Ie(),xIe=PX(),p8t=Id().getSubplotData,bIe=\"gl3d\";wIe.exports=function(t,r,n){var i=r._basePlotModules.length>1;function a(o){if(!i){var s=c8t.validate(t[o],xIe[o]);if(s)return t[o]}}d8t(t,r,n,{type:bIe,attributes:xIe,handleDefaults:g8t,fullLayout:r,font:r.font,fullData:n,getDfltFromLayout:a,autotypenumbersDflt:r.autotypenumbers,paper_bgcolor:r.paper_bgcolor,calendar:r.calendar})};function g8t(e,t,r,n){for(var i=r(\"bgcolor\"),a=f8t.combine(i,n.paper_bgcolor),o=[\"up\",\"center\",\"eye\"],s=0;s<o.length;s++)r(\"camera.\"+o[s]+\".x\"),r(\"camera.\"+o[s]+\".y\"),r(\"camera.\"+o[s]+\".z\");r(\"camera.projection.type\");var l=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),u=l?\"manual\":\"auto\",c=r(\"aspectmode\",u);l||(e.aspectratio=t.aspectratio={x:1,y:1,z:1},c===\"manual\"&&(t.aspectmode=\"auto\"),e.aspectmode=t.aspectmode);var f=p8t(n.fullData,bIe,n.id);v8t(e,t,{font:n.font,scene:n.id,data:f,bgColor:a,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),h8t.getComponentMethod(\"annotations3d\",\"handleDefaults\")(e,t,n);var h=n.getDfltFromLayout(\"dragmode\");if(h!==!1&&!h)if(h=\"orbit\",e.camera&&e.camera.up){var d=e.camera.up.x,v=e.camera.up.y,x=e.camera.up.z;x!==0&&(!d||!v||!x||x/Math.sqrt(d*d+v*v+x*x)>.999)&&(h=\"turntable\")}else h=\"turntable\";r(\"dragmode\",h),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}});var Q_=ye(up=>{\"use strict\";var m8t=mc().overrideAll,y8t=N1(),_8t=fIe(),x8t=Id().getSubplotData,b8t=Dr(),w8t=Wp(),BA=\"gl3d\",IX=\"scene\";up.name=BA;up.attr=IX;up.idRoot=IX;up.idRegex=up.attrRegex=b8t.counterRegex(\"scene\");up.attributes=dIe();up.layoutAttributes=PX();up.baseLayoutAttrOverrides=m8t({hoverlabel:y8t.hoverlabel},\"plot\",\"nested\");up.supplyLayoutDefaults=TIe();up.plot=function(t){for(var r=t._fullLayout,n=t._fullData,i=r._subplots[BA],a=0;a<i.length;a++){var o=i[a],s=x8t(n,BA,o),l=r[o],u=l.camera,c=l._scene;c||(c=new 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r===\"1\"&&(r=\"\"),IX+r}};up.updateFx=function(e){for(var t=e._fullLayout,r=t._subplots[BA],n=0;n<r.length;n++){var i=t[r[n]]._scene;i.updateFx(t.dragmode,t.hovermode)}}});var SIe=ye((p0r,AIe)=>{\"use strict\";AIe.exports={plot:FPe(),attributes:TX(),markerSymbols:KD(),supplyDefaults:UPe(),colorbar:[{container:\"marker\",min:\"cmin\",max:\"cmax\"},{container:\"line\",min:\"cmin\",max:\"cmax\"}],calc:GPe(),moduleType:\"trace\",name:\"scatter3d\",basePlotModule:Q_(),categories:[\"gl3d\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}});var EIe=ye((g0r,MIe)=>{\"use strict\";MIe.exports=SIe()});var KE=ye((m0r,LIe)=>{\"use strict\";var CIe=Ca(),T8t=Tu(),RX=df().axisHoverFormat,A8t=Qo().hovertemplateAttrs,kIe=Vl(),DX=Ao().extendFlat,S8t=mc().overrideAll;function FX(e){return{valType:\"boolean\",dflt:!1}}function zX(e){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:FX(\"x\"),y:FX(\"y\"),z:FX(\"z\")},color:{valType:\"color\",dflt:CIe.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:CIe.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var OX=LIe.exports=S8t(DX({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:A8t(),xhoverformat:RX(\"x\"),yhoverformat:RX(\"y\"),zhoverformat:RX(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},T8t(\"\",{colorAttr:\"z or surfacecolor\",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:\"calc\"}),{contours:{x:zX(\"x\"),y:zX(\"y\"),z:zX(\"z\")},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05},roughness:{valType:\"number\",min:0,max:1,dflt:.5},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},opacityscale:{valType:\"any\",editType:\"calc\"},hoverinfo:DX({},kIe.hoverinfo),showlegend:DX({},kIe.showlegend,{dflt:!1})}),\"calc\",\"nested\");OX.x.editType=OX.y.editType=OX.z.editType=\"calc+clearAxisTypes\"});var BX=ye((y0r,RIe)=>{\"use strict\";var M8t=qa(),PIe=Dr(),E8t=Jh(),C8t=KE(),qX=.1;function k8t(e,t){for(var r=[],n=32,i=0;i<n;i++){var a=i/(n-1),o=t+(1-t)*(1-Math.pow(Math.sin(e*a*Math.PI),2));r.push([a,Math.max(0,Math.min(1,o))])}return r}function L8t(e){var t=0;if(!Array.isArray(e)||e.length<2||!e[0]||!e[e.length-1]||+e[0][0]!=0||+e[e.length-1][0]!=1)return!1;for(var r=0;r<e.length;r++){var n=e[r];if(n.length!==2||+n[0]<t)return!1;t=+n[0]}return!0}function P8t(e,t,r,n){var i,a;function o(b,p){return PIe.coerce(e,t,C8t,b,p)}var s=o(\"x\"),l=o(\"y\"),u=o(\"z\");if(!u||!u.length||s&&s.length<1||l&&l.length<1){t.visible=!1;return}t._xlength=Array.isArray(s)&&PIe.isArrayOrTypedArray(s[0])?u.length:u[0].length,t._ylength=u.length;var c=M8t.getComponentMethod(\"calendars\",\"handleTraceDefaults\");c(e,t,[\"x\",\"y\",\"z\"],n),o(\"text\"),o(\"hovertext\"),o(\"hovertemplate\"),o(\"xhoverformat\"),o(\"yhoverformat\"),o(\"zhoverformat\"),[\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"hidesurface\",\"connectgaps\",\"opacity\"].forEach(function(b){o(b)});var f=o(\"surfacecolor\"),h=[\"x\",\"y\",\"z\"];for(i=0;i<3;++i){var d=\"contours.\"+h[i],v=o(d+\".show\"),x=o(d+\".highlight\");if(v||x)for(a=0;a<3;++a)o(d+\".project.\"+h[a]);v&&(o(d+\".color\"),o(d+\".width\"),o(d+\".usecolormap\")),x&&(o(d+\".highlightcolor\"),o(d+\".highlightwidth\")),o(d+\".start\"),o(d+\".end\"),o(d+\".size\")}E8t(e,t,n,o,{prefix:\"\",cLetter:\"c\"}),IIe(e,t,n,o),t._length=null}function IIe(e,t,r,n){var i=n(\"opacityscale\");i===\"max\"?t.opacityscale=[[0,qX],[1,1]]:i===\"min\"?t.opacityscale=[[0,1],[1,qX]]:i===\"extremes\"?t.opacityscale=k8t(1,qX):L8t(i)||(t.opacityscale=void 0)}RIe.exports={supplyDefaults:P8t,opacityscaleDefaults:IIe}});var zIe=ye((_0r,FIe)=>{\"use strict\";var DIe=Fv();FIe.exports=function(t,r){r.surfacecolor?DIe(t,r,{vals:r.surfacecolor,containerStr:\"\",cLetter:\"c\"}):DIe(t,r,{vals:r.z,containerStr:\"\",cLetter:\"c\"})}});var VIe=ye((x0r,UIe)=>{\"use strict\";var I8t=Od().gl_surface3d,NA=Od().ndarray,R8t=Od().ndarray_linear_interpolate.d2,D8t=i8(),F8t=n8(),JE=Dr().isArrayOrTypedArray,z8t=$y().parseColorScale,OIe=Jy(),O8t=tc().extractOpts;function BIe(e,t,r){this.scene=e,this.uid=r,this.surface=t,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 Jg=BIe.prototype;Jg.getXat=function(e,t,r,n){var i=JE(this.data.x)?JE(this.data.x[0])?this.data.x[t][e]:this.data.x[e]:e;return r===void 0?i:n.d2l(i,0,r)};Jg.getYat=function(e,t,r,n){var i=JE(this.data.y)?JE(this.data.y[0])?this.data.y[t][e]:this.data.y[t]:t;return r===void 0?i:n.d2l(i,0,r)};Jg.getZat=function(e,t,r,n){var i=this.data.z[t][e];return i===null&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[t][e]),r===void 0?i:n.d2l(i,0,r)};Jg.handlePick=function(e){if(e.object===this.surface){var t=(e.data.index[0]-1)/this.dataScaleX-1,r=(e.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(t),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);e.index=[n,i],e.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],e.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){var o=e.dataCoordinate[a];o!=null&&(e.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return JE(s)&&s[i]&&s[i][n]!==void 0?e.textLabel=s[i][n]:s?e.textLabel=s:e.textLabel=\"\",e.data.dataCoordinate=e.dataCoordinate.slice(),this.surface.highlight(e.data),this.scene.glplot.spikes.position=e.dataCoordinate,!0}};function q8t(e){var t=e[0].rgb,r=e[e.length-1].rgb;return t[0]===r[0]&&t[1]===r[1]&&t[2]===r[2]&&t[3]===r[3]}var UA=[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 B8t(e,t){if(e<t)return 0;for(var r=0;Math.floor(e%t)===0;)e/=t,r++;return r}function NX(e){for(var t=[],r=0;r<UA.length;r++){var n=UA[r];t.push(B8t(e,n))}return t}function N8t(e){for(var t=NX(e),r=e,n=0;n<UA.length;n++)if(t[n]>0){r=UA[n];break}return r}function U8t(e,t){if(!(e<1||t<1)){for(var r=NX(e),n=NX(t),i=1,a=0;a<UA.length;a++)i*=Math.pow(UA[a],Math.max(r[a],n[a]));return i}}function V8t(e){if(e.length!==0){for(var t=1,r=0;r<e.length;r++)t=U8t(t,e[r]);return t}}Jg.calcXnums=function(e){var t,r=[];for(t=1;t<e;t++){var n=this.getXat(t-1,0),i=this.getXat(t,0);i!==n&&n!==void 0&&n!==null&&i!==void 0&&i!==null?r[t-1]=Math.abs(i-n):r[t-1]=0}var a=0;for(t=1;t<e;t++)a+=r[t-1];for(t=1;t<e;t++)r[t-1]===0?r[t-1]=1:r[t-1]=Math.round(a/r[t-1]);return r};Jg.calcYnums=function(e){var t,r=[];for(t=1;t<e;t++){var n=this.getYat(0,t-1),i=this.getYat(0,t);i!==n&&n!==void 0&&n!==null&&i!==void 0&&i!==null?r[t-1]=Math.abs(i-n):r[t-1]=0}var a=0;for(t=1;t<e;t++)a+=r[t-1];for(t=1;t<e;t++)r[t-1]===0?r[t-1]=1:r[t-1]=Math.round(a/r[t-1]);return r};var NIe=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],qIe=NIe[9],rF=NIe[13];Jg.estimateScale=function(e,t){for(var r=t===0?this.calcXnums(e):this.calcYnums(e),n=1+V8t(r);n<qIe;)n*=2;for(;n>rF;)n--,n/=N8t(n),n++,n<qIe&&(n=rF);var i=Math.round(n/e);return i>1?i:1};function G8t(e,t,r){var n=r[8]+r[2]*t[0]+r[5]*t[1];return e[0]=(r[6]+r[0]*t[0]+r[3]*t[1])/n,e[1]=(r[7]+r[1]*t[0]+r[4]*t[1])/n,e}function H8t(e,t,r){return j8t(e,t,G8t,r),e}function j8t(e,t,r,n){for(var i=[0,0],a=e.shape[0],o=e.shape[1],s=0;s<a;s++)for(var l=0;l<o;l++)r(i,[s,l],n),e.set(s,l,R8t(t,i[0],i[1]));return e}Jg.refineCoords=function(e){for(var t=this.dataScaleX,r=this.dataScaleY,n=e[0].shape[0],i=e[0].shape[1],a=Math.floor(e[0].shape[0]*t+1)|0,o=Math.floor(e[0].shape[1]*r+1)|0,s=1+n+1,l=1+i+1,u=NA(new Float32Array(s*l),[s,l]),c=[1/t,0,0,0,1/r,0,0,0,1],f=0;f<e.length;++f){this.surface.padField(u,e[f]);var h=NA(new Float32Array(a*o),[a,o]);H8t(h,u,c),e[f]=h}};function W8t(e,t){for(var r=!1,n=0;n<e.length;n++)if(t===e[n]){r=!0;break}r===!1&&e.push(t)}Jg.setContourLevels=function(){var e=[[],[],[]],t=[!1,!1,!1],r=!1,n,i,a;for(n=0;n<3;++n)if(this.showContour[n]&&(r=!0,this.contourSize[n]>0&&this.contourStart[n]!==null&&this.contourEnd[n]!==null&&this.contourEnd[n]>this.contourStart[n]))for(t[n]=!0,i=this.contourStart[n];i<this.contourEnd[n];i+=this.contourSize[n])a=i*this.scene.dataScale[n],W8t(e[n],a);if(r){var o=[[],[],[]];for(n=0;n<3;++n)this.showContour[n]&&(o[n]=t[n]?e[n]:this.scene.contourLevels[n]);this.surface.update({levels:o})}};Jg.update=function(e){var t=this.scene,r=t.fullSceneLayout,n=this.surface,i=z8t(e),a=t.dataScale,o=e.z[0].length,s=e._ylength,l=t.contourLevels;this.data=e;var u,c,f,h,d=[];for(u=0;u<3;u++)for(d[u]=[],c=0;c<o;c++)d[u][c]=[];for(c=0;c<o;c++)for(f=0;f<s;f++)d[0][c][f]=this.getXat(c,f,e.xcalendar,r.xaxis),d[1][c][f]=this.getYat(c,f,e.ycalendar,r.yaxis),d[2][c][f]=this.getZat(c,f,e.zcalendar,r.zaxis);if(e.connectgaps)for(e._emptypoints=F8t(d[2]),D8t(d[2],e._emptypoints),e._interpolatedZ=[],c=0;c<o;c++)for(e._interpolatedZ[c]=[],f=0;f<s;f++)e._interpolatedZ[c][f]=d[2][c][f];for(u=0;u<3;u++)for(c=0;c<o;c++)for(f=0;f<s;f++)h=d[u][c][f],h==null?d[u][c][f]=NaN:h=d[u][c][f]*=a[u];for(u=0;u<3;u++)for(c=0;c<o;c++)for(f=0;f<s;f++)h=d[u][c][f],h!=null&&(this.minValues[u]>h&&(this.minValues[u]=h),this.maxValues[u]<h&&(this.maxValues[u]=h));for(u=0;u<3;u++)this.objectOffset[u]=.5*(this.minValues[u]+this.maxValues[u]);for(u=0;u<3;u++)for(c=0;c<o;c++)for(f=0;f<s;f++)h=d[u][c][f],h!=null&&(d[u][c][f]-=this.objectOffset[u]);var v=[NA(new Float32Array(o*s),[o,s]),NA(new Float32Array(o*s),[o,s]),NA(new Float32Array(o*s),[o,s])];for(u=0;u<3;u++)for(c=0;c<o;c++)for(f=0;f<s;f++)v[u].set(c,f,d[u][c][f]);d=[];var x={colormap:i,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!e.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:e.opacityscale,opacity:e.opacity},b=O8t(e);if(x.intensityBounds=[b.min,b.max],e.surfacecolor){var p=NA(new Float32Array(o*s),[o,s]);for(c=0;c<o;c++)for(f=0;f<s;f++)p.set(c,f,e.surfacecolor[f][c]);v.push(p)}else x.intensityBounds[0]*=a[2],x.intensityBounds[1]*=a[2];(rF<v[0].shape[0]||rF<v[0].shape[1])&&(this.refineData=!1),this.refineData===!0&&(this.dataScaleX=this.estimateScale(v[0].shape[0],0),this.dataScaleY=this.estimateScale(v[0].shape[1],1),(this.dataScaleX!==1||this.dataScaleY!==1)&&this.refineCoords(v)),e.surfacecolor&&(x.intensity=v.pop());var C=[!0,!0,!0],E=[\"x\",\"y\",\"z\"];for(u=0;u<3;++u){var A=e.contours[E[u]];C[u]=A.highlight,x.showContour[u]=A.show||A.highlight,x.showContour[u]&&(x.contourProject[u]=[A.project.x,A.project.y,A.project.z],A.show?(this.showContour[u]=!0,x.levels[u]=l[u],n.highlightColor[u]=x.contourColor[u]=OIe(A.color),A.usecolormap?n.highlightTint[u]=x.contourTint[u]=0:n.highlightTint[u]=x.contourTint[u]=1,x.contourWidth[u]=A.width,this.contourStart[u]=A.start,this.contourEnd[u]=A.end,this.contourSize[u]=A.size):(this.showContour[u]=!1,this.contourStart[u]=null,this.contourEnd[u]=null,this.contourSize[u]=0),A.highlight&&(x.dynamicColor[u]=OIe(A.highlightcolor),x.dynamicWidth[u]=A.highlightwidth))}q8t(i)&&(x.vertexColor=!0),x.objectOffset=this.objectOffset,x.coords=v,n.update(x),n.visible=e.visible,n.enableDynamic=C,n.enableHighlight=C,n.snapToData=!0,\"lighting\"in e&&(n.ambientLight=e.lighting.ambient,n.diffuseLight=e.lighting.diffuse,n.specularLight=e.lighting.specular,n.roughness=e.lighting.roughness,n.fresnel=e.lighting.fresnel),\"lightposition\"in e&&(n.lightPosition=[e.lightposition.x,e.lightposition.y,e.lightposition.z])};Jg.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()};function X8t(e,t){var r=e.glplot.gl,n=I8t({gl:r}),i=new BIe(e,n,t.uid);return n._trace=i,i.update(t),e.glplot.add(n),i}UIe.exports=X8t});var HIe=ye((b0r,GIe)=>{\"use strict\";GIe.exports={attributes:KE(),supplyDefaults:BX().supplyDefaults,colorbar:{min:\"cmin\",max:\"cmax\"},calc:zIe(),plot:VIe(),moduleType:\"trace\",name:\"surface\",basePlotModule:Q_(),categories:[\"gl3d\",\"2dMap\",\"showLegend\"],meta:{}}});var WIe=ye((w0r,jIe)=>{\"use strict\";jIe.exports=HIe()});var VA=ye((T0r,ZIe)=>{\"use strict\";var Z8t=Tu(),UX=df().axisHoverFormat,Y8t=Qo().hovertemplateAttrs,ex=KE(),XIe=Vl(),tx=Ao().extendFlat;ZIe.exports=tx({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:Y8t({editType:\"calc\"}),xhoverformat:UX(\"x\"),yhoverformat:UX(\"y\"),zhoverformat:UX(\"z\"),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"}},Z8t(\"\",{colorAttr:\"`intensity`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{opacity:ex.opacity,flatshading:{valType:\"boolean\",dflt:!1,editType:\"calc\"},contour:{show:tx({},ex.contours.x.show,{}),color:ex.contours.x.color,width:ex.contours.x.width,editType:\"calc\"},lightposition:{x:tx({},ex.lightposition.x,{dflt:1e5}),y:tx({},ex.lightposition.y,{dflt:1e5}),z:tx({},ex.lightposition.z,{dflt:0}),editType:\"calc\"},lighting:tx({vertexnormalsepsilon:{valType:\"number\",min:0,max:1,dflt:1e-12,editType:\"calc\"},facenormalsepsilon:{valType:\"number\",min:0,max:1,dflt:1e-6,editType:\"calc\"},editType:\"calc\"},ex.lighting),hoverinfo:tx({},XIe.hoverinfo,{editType:\"calc\"}),showlegend:tx({},XIe.showlegend,{dflt:!1})})});var nF=ye((A0r,KIe)=>{\"use strict\";var K8t=Tu(),iF=df().axisHoverFormat,J8t=Qo().hovertemplateAttrs,$E=VA(),YIe=Vl(),VX=Ao().extendFlat,$8t=mc().overrideAll;function GX(e){return{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}}}function HX(e){return{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}}}var GA=KIe.exports=$8t(VX({x:{valType:\"data_array\"},y:{valType:\"data_array\"},z:{valType:\"data_array\"},value:{valType:\"data_array\"},isomin:{valType:\"number\"},isomax:{valType:\"number\"},surface:{show:{valType:\"boolean\",dflt:!0},count:{valType:\"integer\",dflt:2,min:1},fill:{valType:\"number\",min:0,max:1,dflt:1},pattern:{valType:\"flaglist\",flags:[\"A\",\"B\",\"C\",\"D\",\"E\"],extras:[\"all\",\"odd\",\"even\"],dflt:\"all\"}},spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:.15}},slices:{x:GX(\"x\"),y:GX(\"y\"),z:GX(\"z\")},caps:{x:HX(\"x\"),y:HX(\"y\"),z:HX(\"z\")},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:J8t(),xhoverformat:iF(\"x\"),yhoverformat:iF(\"y\"),zhoverformat:iF(\"z\"),valuehoverformat:iF(\"value\",1),showlegend:VX({},YIe.showlegend,{dflt:!1})},K8t(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{opacity:$E.opacity,lightposition:$E.lightposition,lighting:$E.lighting,flatshading:$E.flatshading,contour:$E.contour,hoverinfo:VX({},YIe.hoverinfo)}),\"calc\",\"nested\");GA.flatshading.dflt=!0;GA.lighting.facenormalsepsilon.dflt=0;GA.x.editType=GA.y.editType=GA.z.editType=GA.value.editType=\"calc+clearAxisTypes\"});var jX=ye((S0r,$Ie)=>{\"use strict\";var Q8t=Dr(),eRt=qa(),tRt=nF(),rRt=Jh();function iRt(e,t,r,n){function i(a,o){return Q8t.coerce(e,t,tRt,a,o)}JIe(e,t,r,n,i)}function JIe(e,t,r,n,i){var a=i(\"isomin\"),o=i(\"isomax\");o!=null&&a!==void 0&&a!==null&&a>o&&(t.isomin=null,t.isomax=null);var s=i(\"x\"),l=i(\"y\"),u=i(\"z\"),c=i(\"value\");if(!s||!s.length||!l||!l.length||!u||!u.length||!c||!c.length){t.visible=!1;return}var f=eRt.getComponentMethod(\"calendars\",\"handleTraceDefaults\");f(e,t,[\"x\",\"y\",\"z\"],n),i(\"valuehoverformat\"),[\"x\",\"y\",\"z\"].forEach(function(x){i(x+\"hoverformat\");var b=\"caps.\"+x,p=i(b+\".show\");p&&i(b+\".fill\");var C=\"slices.\"+x,E=i(C+\".show\");E&&(i(C+\".fill\"),i(C+\".locations\"))});var h=i(\"spaceframe.show\");h&&i(\"spaceframe.fill\");var d=i(\"surface.show\");d&&(i(\"surface.count\"),i(\"surface.fill\"),i(\"surface.pattern\"));var v=i(\"contour.show\");v&&(i(\"contour.color\"),i(\"contour.width\")),[\"text\",\"hovertext\",\"hovertemplate\",\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lighting.vertexnormalsepsilon\",\"lighting.facenormalsepsilon\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"flatshading\",\"opacity\"].forEach(function(x){i(x)}),rRt(e,t,n,i,{prefix:\"\",cLetter:\"c\"}),t._length=null}$Ie.exports={supplyDefaults:iRt,supplyIsoDefaults:JIe}});var aF=ye((M0r,e8e)=>{\"use strict\";var XX=Dr(),nRt=Fv();function aRt(e,t){t._len=Math.min(t.u.length,t.v.length,t.w.length,t.x.length,t.y.length,t.z.length),t._u=Hm(t.u,t._len),t._v=Hm(t.v,t._len),t._w=Hm(t.w,t._len),t._x=Hm(t.x,t._len),t._y=Hm(t.y,t._len),t._z=Hm(t.z,t._len);var r=QIe(t);t._gridFill=r.fill,t._Xs=r.Xs,t._Ys=r.Ys,t._Zs=r.Zs,t._len=r.len;var n=0,i,a,o;t.starts&&(i=Hm(t.starts.x||[]),a=Hm(t.starts.y||[]),o=Hm(t.starts.z||[]),n=Math.min(i.length,a.length,o.length)),t._startsX=i||[],t._startsY=a||[],t._startsZ=o||[];var s=0,l=1/0,u;for(u=0;u<t._len;u++){var c=t._u[u],f=t._v[u],h=t._w[u],d=Math.sqrt(c*c+f*f+h*h);s=Math.max(s,d),l=Math.min(l,d)}for(nRt(e,t,{vals:[l,s],containerStr:\"\",cLetter:\"c\"}),u=0;u<n;u++){var v=i[u];r.xMax=Math.max(r.xMax,v),r.xMin=Math.min(r.xMin,v);var x=a[u];r.yMax=Math.max(r.yMax,x),r.yMin=Math.min(r.yMin,x);var b=o[u];r.zMax=Math.max(r.zMax,b),r.zMin=Math.min(r.zMin,b)}t._slen=n,t._normMax=s,t._xbnds=[r.xMin,r.xMax],t._ybnds=[r.yMin,r.yMax],t._zbnds=[r.zMin,r.zMax]}function QIe(e){var t=e._x,r=e._y,n=e._z,i=e._len,a,o,s,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,d=1/0,v=\"\",x,b,p,C,E,A,L,_,k;for(i&&(C=t[0],A=r[0],_=n[0]),i>1&&(E=t[i-1],L=r[i-1],k=n[i-1]),a=0;a<i;a++)l=Math.max(l,t[a]),u=Math.min(u,t[a]),c=Math.max(c,r[a]),f=Math.min(f,r[a]),h=Math.max(h,n[a]),d=Math.min(d,n[a]),!x&&t[a]!==C&&(x=!0,v+=\"x\"),!b&&r[a]!==A&&(b=!0,v+=\"y\"),!p&&n[a]!==_&&(p=!0,v+=\"z\");x||(v+=\"x\"),b||(v+=\"y\"),p||(v+=\"z\");var M=WX(e._x),g=WX(e._y),P=WX(e._z);v=v.replace(\"x\",(C>E?\"-\":\"+\")+\"x\"),v=v.replace(\"y\",(A>L?\"-\":\"+\")+\"y\"),v=v.replace(\"z\",(_>k?\"-\":\"+\")+\"z\");var T=function(){i=0,M=[],g=[],P=[]};(!i||i<M.length*g.length*P.length)&&T();var z=function(De){return De===\"x\"?t:De===\"y\"?r:n},O=function(De){return De===\"x\"?M:De===\"y\"?g:P},V=function(De){return De[i-1]<De[0]?-1:1},G=z(v[1]),Z=z(v[3]),H=z(v[5]),N=O(v[1]).length,j=O(v[3]).length,re=O(v[5]).length,oe=!1,_e=function(De,Pe,ge){return N*(j*De+Pe)+ge},Me=V(z(v[1])),ke=V(z(v[3])),me=V(z(v[5]));for(a=0;a<re-1;a++){for(o=0;o<j-1;o++){for(s=0;s<N-1;s++){var ie=_e(a,o,s),Se=_e(a,o,s+1),Le=_e(a,o+1,s),Ae=_e(a+1,o,s);if((!(G[ie]*Me<G[Se]*Me)||!(Z[ie]*ke<Z[Le]*ke)||!(H[ie]*me<H[Ae]*me))&&(oe=!0),oe)break}if(oe)break}if(oe)break}return oe&&(XX.warn(\"Encountered arbitrary coordinates! 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HA=ye((C0r,r8e)=>{\"use strict\";r8e.exports=function(t,r,n,i){i=i||t.length;for(var a=new Array(i),o=0;o<i;o++)a[o]=[t[o],r[o],n[o]];return a}});var sF=ye((k0r,o8e)=>{\"use strict\";var lRt=Od().gl_mesh3d,uRt=$y().parseColorScale,cRt=Dr().isArrayOrTypedArray,fRt=Jy(),hRt=tc().extractOpts,i8e=HA(),QE=function(e,t){for(var r=t.length-1;r>0;r--){var n=Math.min(t[r],t[r-1]),i=Math.max(t[r],t[r-1]);if(i>n&&n<e&&e<=i)return{id:r,distRatio:(i-e)/(i-n)}}return{id:0,distRatio:0}};function n8e(e,t,r){this.scene=e,this.uid=r,this.mesh=t,this.name=\"\",this.data=null,this.showContour=!1}var YX=n8e.prototype;YX.handlePick=function(e){if(e.object===this.mesh){var t=e.data.index,r=this.data._meshX[t],n=this.data._meshY[t],i=this.data._meshZ[t],a=this.data._Ys.length,o=this.data._Zs.length,s=QE(r,this.data._Xs).id,l=QE(n,this.data._Ys).id,u=QE(i,this.data._Zs).id,c=e.index=u+o*l+o*a*s;e.traceCoordinate=[this.data._meshX[c],this.data._meshY[c],this.data._meshZ[c],this.data._value[c]];var f=this.data.hovertext||this.data.text;return cRt(f)&&f[c]!==void 0?e.textLabel=f[c]:f&&(e.textLabel=f),!0}};YX.update=function(e){var t=this.scene,r=t.fullSceneLayout;this.data=a8e(e);function n(l,u,c,f){return u.map(function(h){return l.d2l(h,0,f)*c})}var i=i8e(n(r.xaxis,e._meshX,t.dataScale[0],e.xcalendar),n(r.yaxis,e._meshY,t.dataScale[1],e.ycalendar),n(r.zaxis,e._meshZ,t.dataScale[2],e.zcalendar)),a=i8e(e._meshI,e._meshJ,e._meshK),o={positions:i,cells:a,lightPosition:[e.lightposition.x,e.lightposition.y,e.lightposition.z],ambient:e.lighting.ambient,diffuse:e.lighting.diffuse,specular:e.lighting.specular,roughness:e.lighting.roughness,fresnel:e.lighting.fresnel,vertexNormalsEpsilon:e.lighting.vertexnormalsepsilon,faceNormalsEpsilon:e.lighting.facenormalsepsilon,opacity:e.opacity,contourEnable:e.contour.show,contourColor:fRt(e.contour.color).slice(0,3),contourWidth:e.contour.width,useFacetNormals:e.flatshading},s=hRt(e);o.vertexIntensity=e._meshIntensity,o.vertexIntensityBounds=[s.min,s.max],o.colormap=uRt(e),this.mesh.update(o)};YX.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};var dRt=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"];function a8e(e){e._meshI=[],e._meshJ=[],e._meshK=[];var t=e.surface.show,r=e.spaceframe.show,n=e.surface.fill,i=e.spaceframe.fill,a=!1,o=!1,s=0,l,u,c=e._Xs,f=e._Ys,h=e._Zs,d=c.length,v=f.length,x=h.length,b=dRt.indexOf(e._gridFill.replace(/-/g,\"\").replace(/\\+/g,\"\")),p=function(er,Ut,Ft){switch(b){case 5:return Ft+x*Ut+x*v*er;case 4:return Ft+x*er+x*d*Ut;case 3:return Ut+v*Ft+v*x*er;case 2:return Ut+v*er+v*d*Ft;case 1:return er+d*Ft+d*x*Ut;default:return er+d*Ut+d*v*Ft}},C=e._minValues,E=e._maxValues,A=e._vMin,L=e._vMax,_,k,M,g;function P(er,Ut,Ft){for(var bt=g.length,yt=u;yt<bt;yt++)if(er===_[yt]&&Ut===k[yt]&&Ft===M[yt])return yt;return-1}function T(){u=l}function z(){_=[],k=[],M=[],g=[],l=0,T()}function O(er,Ut,Ft,bt){return _.push(er),k.push(Ut),M.push(Ft),g.push(bt),l++,l-1}function V(er,Ut,Ft){return e._meshI.push(er),e._meshJ.push(Ut),e._meshK.push(Ft),s++,s-1}function G(er,Ut,Ft){for(var bt=[],yt=0;yt<er.length;yt++)bt[yt]=(er[yt]+Ut[yt]+Ft[yt])/3;return bt}function Z(er,Ut,Ft){for(var 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bt=function(yt,Yt,lr){_e(er,[Ut[yt],Ut[Yt],Ut[lr]],[Ft[yt],Ft[Yt],Ft[lr]])};bt(0,1,2),bt(2,3,0)}function ke(er,Ut,Ft){var bt=function(yt,Yt,lr){_e(er,[Ut[yt],Ut[Yt],Ut[lr]],[Ft[yt],Ft[Yt],Ft[lr]])};bt(0,1,2),bt(3,0,1),bt(2,3,0),bt(1,2,3)}function me(er,Ut,Ft,bt){var yt=er[3];yt<Ft&&(yt=Ft),yt>bt&&(yt=bt);for(var Yt=(er[3]-yt)/(er[3]-Ut[3]+1e-9),lr=[],Tr=0;Tr<4;Tr++)lr[Tr]=(1-Yt)*er[Tr]+Yt*Ut[Tr];return lr}function ie(er,Ut,Ft){return er>=Ut&&er<=Ft}function Se(er){var Ut=.001*(L-A);return er>=A-Ut&&er<=L+Ut}function Le(er){for(var Ut=[],Ft=0;Ft<4;Ft++){var bt=er[Ft];Ut.push([e._x[bt],e._y[bt],e._z[bt],e._value[bt]])}return Ut}var Ae=3;function De(er,Ut,Ft,bt,yt,Yt){Yt||(Yt=1),Ft=[-1,-1,-1];var lr=!1,Tr=[ie(Ut[0][3],bt,yt),ie(Ut[1][3],bt,yt),ie(Ut[2][3],bt,yt)];if(!Tr[0]&&!Tr[1]&&!Tr[2])return!1;var Rr=function(Wr,Ur,dt){return Se(Ur[0][3])&&Se(Ur[1][3])&&Se(Ur[2][3])?(_e(Wr,Ur,dt),!0):Yt<Ae?De(Wr,Ur,dt,A,L,++Yt):!1};if(Tr[0]&&Tr[1]&&Tr[2])return Rr(er,Ut,Ft)||lr;var 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a&&(re(er,\"A\")&&(Ur=Pe(null,[Ut,Ft,bt,Yt],ei,Wr)||Ur),re(er,\"B\")&&(Ur=Pe(null,[Ft,bt,yt,Rr],ei,Wr)||Ur),re(er,\"C\")&&(Ur=Pe(null,[Ft,Yt,lr,Rr],ei,Wr)||Ur),re(er,\"D\")&&(Ur=Pe(null,[bt,Yt,Tr,Rr],ei,Wr)||Ur),re(er,\"E\")&&(Ur=Pe(null,[Ft,bt,Yt,Rr],ei,Wr)||Ur)),o&&(Ur=Pe(er,[Ft,bt,Yt,Rr],ei,Wr)||Ur),Ur}function Fe(er,Ut,Ft,bt,yt,Yt,lr,Tr){return[Tr[0]===!0?!0:De(er,Le([Ut,Ft,bt]),[Ut,Ft,bt],Yt,lr),Tr[1]===!0?!0:De(er,Le([bt,yt,Ut]),[bt,yt,Ut],Yt,lr)]}function ce(er,Ut,Ft,bt,yt,Yt,lr,Tr,Rr){return Tr?Fe(er,Ut,Ft,yt,bt,Yt,lr,Rr):Fe(er,Ft,yt,bt,Ut,Yt,lr,Rr)}function Ze(er,Ut,Ft,bt,yt,Yt,lr){var Tr=!1,Rr,ei,Wr,Ur,dt=function(){Tr=De(er,[Rr,ei,Wr],[-1,-1,-1],yt,Yt)||Tr,Tr=De(er,[Wr,Ur,Rr],[-1,-1,-1],yt,Yt)||Tr},Ge=lr[0],Je=lr[1],je=lr[2];return Ge&&(Rr=Z(Le([p(Ut,Ft-0,bt-0)])[0],Le([p(Ut-1,Ft-0,bt-0)])[0],Ge),ei=Z(Le([p(Ut,Ft-0,bt-1)])[0],Le([p(Ut-1,Ft-0,bt-1)])[0],Ge),Wr=Z(Le([p(Ut,Ft-1,bt-1)])[0],Le([p(Ut-1,Ft-1,bt-1)])[0],Ge),Ur=Z(Le([p(Ut,Ft-1,bt-0)])[0],Le([p(Ut-1,Ft-1,bt-0)])[0],Ge),dt()),Je&&(Rr=Z(Le([p(Ut-0,Ft,bt-0)])[0],Le([p(Ut-0,Ft-1,bt-0)])[0],Je),ei=Z(Le([p(Ut-0,Ft,bt-1)])[0],Le([p(Ut-0,Ft-1,bt-1)])[0],Je),Wr=Z(Le([p(Ut-1,Ft,bt-1)])[0],Le([p(Ut-1,Ft-1,bt-1)])[0],Je),Ur=Z(Le([p(Ut-1,Ft,bt-0)])[0],Le([p(Ut-1,Ft-1,bt-0)])[0],Je),dt()),je&&(Rr=Z(Le([p(Ut-0,Ft-0,bt)])[0],Le([p(Ut-0,Ft-0,bt-1)])[0],je),ei=Z(Le([p(Ut-0,Ft-1,bt)])[0],Le([p(Ut-0,Ft-1,bt-1)])[0],je),Wr=Z(Le([p(Ut-1,Ft-1,bt)])[0],Le([p(Ut-1,Ft-1,bt-1)])[0],je),Ur=Z(Le([p(Ut-1,Ft-0,bt)])[0],Le([p(Ut-1,Ft-0,bt-1)])[0],je),dt()),Tr}function ct(er,Ut,Ft,bt,yt,Yt,lr,Tr,Rr,ei,Wr,Ur){var dt=er;return Ur?(a&&er===\"even\"&&(dt=null),ge(dt,Ut,Ft,bt,yt,Yt,lr,Tr,Rr,ei,Wr)):(a&&er===\"odd\"&&(dt=null),ge(dt,Rr,Tr,lr,Yt,yt,bt,Ft,Ut,ei,Wr))}function pt(er,Ut,Ft,bt,yt){for(var Yt=[],lr=0,Tr=0;Tr<Ut.length;Tr++)for(var Rr=Ut[Tr],ei=1;ei<x;ei++)for(var Wr=1;Wr<v;Wr++)Yt.push(ce(er,p(Rr,Wr-1,ei-1),p(Rr,Wr-1,ei),p(Rr,Wr,ei-1),p(Rr,Wr,ei),Ft,bt,(Rr+Wr+ei)%2,yt&&yt[lr]?yt[lr]:[])),lr++;return Yt}function Wt(er,Ut,Ft,bt,yt){for(var Yt=[],lr=0,Tr=0;Tr<Ut.length;Tr++)for(var Rr=Ut[Tr],ei=1;ei<d;ei++)for(var Wr=1;Wr<x;Wr++)Yt.push(ce(er,p(ei-1,Rr,Wr-1),p(ei,Rr,Wr-1),p(ei-1,Rr,Wr),p(ei,Rr,Wr),Ft,bt,(ei+Rr+Wr)%2,yt&&yt[lr]?yt[lr]:[])),lr++;return Yt}function st(er,Ut,Ft,bt,yt){for(var Yt=[],lr=0,Tr=0;Tr<Ut.length;Tr++)for(var Rr=Ut[Tr],ei=1;ei<v;ei++)for(var Wr=1;Wr<d;Wr++)Yt.push(ce(er,p(Wr-1,ei-1,Rr),p(Wr-1,ei,Rr),p(Wr,ei-1,Rr),p(Wr,ei,Rr),Ft,bt,(Wr+ei+Rr)%2,yt&&yt[lr]?yt[lr]:[])),lr++;return Yt}function lt(er,Ut,Ft){for(var bt=1;bt<x;bt++)for(var yt=1;yt<v;yt++)for(var Yt=1;Yt<d;Yt++)ct(er,p(Yt-1,yt-1,bt-1),p(Yt-1,yt-1,bt),p(Yt-1,yt,bt-1),p(Yt-1,yt,bt),p(Yt,yt-1,bt-1),p(Yt,yt-1,bt),p(Yt,yt,bt-1),p(Yt,yt,bt),Ut,Ft,(Yt+yt+bt)%2)}function Gt(er,Ut,Ft){o=!0,lt(er,Ut,Ft),o=!1}function Nt(er,Ut,Ft){a=!0,lt(er,Ut,Ft),a=!1}function $t(er,Ut,Ft,bt,yt,Yt){for(var lr=[],Tr=0,Rr=0;Rr<Ut.length;Rr++)for(var ei=Ut[Rr],Wr=1;Wr<x;Wr++)for(var Ur=1;Ur<v;Ur++)lr.push(Ze(er,ei,Ur,Wr,Ft,bt,yt[Rr],Yt&&Yt[Tr]?Yt[Tr]:[])),Tr++;return lr}function sr(er,Ut,Ft,bt,yt,Yt){for(var lr=[],Tr=0,Rr=0;Rr<Ut.length;Rr++)for(var ei=Ut[Rr],Wr=1;Wr<d;Wr++)for(var Ur=1;Ur<x;Ur++)lr.push(Ze(er,Wr,ei,Ur,Ft,bt,yt[Rr],Yt&&Yt[Tr]?Yt[Tr]:[])),Tr++;return lr}function wr(er,Ut,Ft,bt,yt,Yt){for(var lr=[],Tr=0,Rr=0;Rr<Ut.length;Rr++)for(var ei=Ut[Rr],Wr=1;Wr<v;Wr++)for(var Ur=1;Ur<d;Ur++)lr.push(Ze(er,Ur,Wr,ei,Ft,bt,yt[Rr],Yt&&Yt[Tr]?Yt[Tr]:[])),Tr++;return lr}function ur(er,Ut){for(var Ft=[],bt=er;bt<Ut;bt++)Ft.push(bt);return Ft}function Qe(){for(var er=0;er<d;er++)for(var Ut=0;Ut<v;Ut++)for(var Ft=0;Ft<x;Ft++){var bt=p(er,Ut,Ft);O(e._x[bt],e._y[bt],e._z[bt],e._value[bt])}}function Et(){z(),Qe();var er=null;if(r&&i&&(N(i),Gt(er,A,L)),t&&n){N(n);for(var Ut=e.surface.pattern,Ft=e.surface.count,bt=0;bt<Ft;bt++){var yt=Ft===1?.5:bt/(Ft-1),Yt=(1-yt)*A+yt*L,lr=Math.abs(Yt-C),Tr=Math.abs(Yt-E),Rr=lr>Tr?[C,Yt]:[Yt,E];Nt(Ut,Rr[0],Rr[1])}}var ei=[[Math.min(A,E),Math.max(A,E)],[Math.min(C,L),Math.max(C,L)]];[\"x\",\"y\",\"z\"].forEach(function(Wr){for(var Ur=[],dt=0;dt<ei.length;dt++){var Ge=0,Je=ei[dt][0],je=ei[dt][1],$e=e.slices[Wr];if($e.show&&$e.fill){N($e.fill);var wt=[],Ie=[],xe=[];if($e.locations.length)for(var Ce=0;Ce<$e.locations.length;Ce++){var vt=QE($e.locations[Ce],Wr===\"x\"?c:Wr===\"y\"?f:h);vt.distRatio===0?wt.push(vt.id):vt.id>0&&(Ie.push(vt.id),Wr===\"x\"?xe.push([vt.distRatio,0,0]):Wr===\"y\"?xe.push([0,vt.distRatio,0]):xe.push([0,0,vt.distRatio]))}else Wr===\"x\"?wt=ur(1,d-1):Wr===\"y\"?wt=ur(1,v-1):wt=ur(1,x-1);Ie.length>0&&(Wr===\"x\"?Ur[Ge]=$t(er,Ie,Je,je,xe,Ur[Ge]):Wr===\"y\"?Ur[Ge]=sr(er,Ie,Je,je,xe,Ur[Ge]):Ur[Ge]=wr(er,Ie,Je,je,xe,Ur[Ge]),Ge++),wt.length>0&&(Wr===\"x\"?Ur[Ge]=pt(er,wt,Je,je,Ur[Ge]):Wr===\"y\"?Ur[Ge]=Wt(er,wt,Je,je,Ur[Ge]):Ur[Ge]=st(er,wt,Je,je,Ur[Ge]),Ge++)}var nr=e.caps[Wr];nr.show&&nr.fill&&(N(nr.fill),Wr===\"x\"?Ur[Ge]=pt(er,[0,d-1],Je,je,Ur[Ge]):Wr===\"y\"?Ur[Ge]=Wt(er,[0,v-1],Je,je,Ur[Ge]):Ur[Ge]=st(er,[0,x-1],Je,je,Ur[Ge]),Ge++)}}),s===0&&z(),e._meshX=_,e._meshY=k,e._meshZ=M,e._meshIntensity=g,e._Xs=c,e._Ys=f,e._Zs=h}return Et(),e}function vRt(e,t){var r=e.glplot.gl,n=lRt({gl:r}),i=new n8e(e,n,t.uid);return n._trace=i,i.update(t),e.glplot.add(n),i}o8e.exports={findNearestOnAxis:QE,generateIsoMeshes:a8e,createIsosurfaceTrace:vRt}});var l8e=ye((L0r,s8e)=>{\"use 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pRt=Tu(),Dh=nF(),gRt=KE(),f8e=Vl(),KX=Ao().extendFlat,mRt=mc().overrideAll,lF=h8e.exports=mRt(KX({x:Dh.x,y:Dh.y,z:Dh.z,value:Dh.value,isomin:Dh.isomin,isomax:Dh.isomax,surface:Dh.surface,spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:1}},slices:Dh.slices,caps:Dh.caps,text:Dh.text,hovertext:Dh.hovertext,xhoverformat:Dh.xhoverformat,yhoverformat:Dh.yhoverformat,zhoverformat:Dh.zhoverformat,valuehoverformat:Dh.valuehoverformat,hovertemplate:Dh.hovertemplate},pRt(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{colorbar:Dh.colorbar,opacity:Dh.opacity,opacityscale:gRt.opacityscale,lightposition:Dh.lightposition,lighting:Dh.lighting,flatshading:Dh.flatshading,contour:Dh.contour,hoverinfo:KX({},f8e.hoverinfo),showlegend:KX({},f8e.showlegend,{dflt:!1})}),\"calc\",\"nested\");lF.x.editType=lF.y.editType=lF.z.editType=lF.value.editType=\"calc+clearAxisTypes\"});var v8e=ye((R0r,d8e)=>{\"use strict\";var yRt=Dr(),_Rt=JX(),xRt=jX().supplyIsoDefaults,bRt=BX().opacityscaleDefaults;d8e.exports=function(t,r,n,i){function a(o,s){return yRt.coerce(t,r,_Rt,o,s)}xRt(t,r,n,i,a),bRt(t,r,i,a)}});var y8e=ye((D0r,m8e)=>{\"use strict\";var wRt=Od().gl_mesh3d,TRt=$y().parseColorScale,ARt=Dr().isArrayOrTypedArray,SRt=Jy(),MRt=tc().extractOpts,p8e=HA(),$X=sF().findNearestOnAxis,ERt=sF().generateIsoMeshes;function g8e(e,t,r){this.scene=e,this.uid=r,this.mesh=t,this.name=\"\",this.data=null,this.showContour=!1}var QX=g8e.prototype;QX.handlePick=function(e){if(e.object===this.mesh){var t=e.data.index,r=this.data._meshX[t],n=this.data._meshY[t],i=this.data._meshZ[t],a=this.data._Ys.length,o=this.data._Zs.length,s=$X(r,this.data._Xs).id,l=$X(n,this.data._Ys).id,u=$X(i,this.data._Zs).id,c=e.index=u+o*l+o*a*s;e.traceCoordinate=[this.data._meshX[c],this.data._meshY[c],this.data._meshZ[c],this.data._value[c]];var f=this.data.hovertext||this.data.text;return ARt(f)&&f[c]!==void 0?e.textLabel=f[c]:f&&(e.textLabel=f),!0}};QX.update=function(e){var t=this.scene,r=t.fullSceneLayout;this.data=ERt(e);function n(l,u,c,f){return u.map(function(h){return l.d2l(h,0,f)*c})}var i=p8e(n(r.xaxis,e._meshX,t.dataScale[0],e.xcalendar),n(r.yaxis,e._meshY,t.dataScale[1],e.ycalendar),n(r.zaxis,e._meshZ,t.dataScale[2],e.zcalendar)),a=p8e(e._meshI,e._meshJ,e._meshK),o={positions:i,cells:a,lightPosition:[e.lightposition.x,e.lightposition.y,e.lightposition.z],ambient:e.lighting.ambient,diffuse:e.lighting.diffuse,specular:e.lighting.specular,roughness:e.lighting.roughness,fresnel:e.lighting.fresnel,vertexNormalsEpsilon:e.lighting.vertexnormalsepsilon,faceNormalsEpsilon:e.lighting.facenormalsepsilon,opacity:e.opacity,opacityscale:e.opacityscale,contourEnable:e.contour.show,contourColor:SRt(e.contour.color).slice(0,3),contourWidth:e.contour.width,useFacetNormals:e.flatshading},s=MRt(e);o.vertexIntensity=e._meshIntensity,o.vertexIntensityBounds=[s.min,s.max],o.colormap=TRt(e),this.mesh.update(o)};QX.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};function CRt(e,t){var r=e.glplot.gl,n=wRt({gl:r}),i=new g8e(e,n,t.uid);return n._trace=i,i.update(t),e.glplot.add(n),i}m8e.exports=CRt});var x8e=ye((F0r,_8e)=>{\"use strict\";_8e.exports={attributes:JX(),supplyDefaults:v8e(),calc:ZX(),colorbar:{min:\"cmin\",max:\"cmax\"},plot:y8e(),moduleType:\"trace\",name:\"volume\",basePlotModule:Q_(),categories:[\"gl3d\",\"showLegend\"],meta:{}}});var w8e=ye((z0r,b8e)=>{\"use strict\";b8e.exports=x8e()});var S8e=ye((O0r,A8e)=>{\"use strict\";var kRt=qa(),T8e=Dr(),LRt=Jh(),PRt=VA();A8e.exports=function(t,r,n,i){function a(c,f){return T8e.coerce(t,r,PRt,c,f)}function o(c){var f=c.map(function(h){var d=a(h);return d&&T8e.isArrayOrTypedArray(d)?d:null});return f.every(function(h){return h&&h.length===f[0].length})&&f}var s=o([\"x\",\"y\",\"z\"]);if(!s){r.visible=!1;return}if(o([\"i\",\"j\",\"k\"]),r.i&&(!r.j||!r.k)||r.j&&(!r.k||!r.i)||r.k&&(!r.i||!r.j)){r.visible=!1;return}var 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o={positions:i,cells:a,lightPosition:[e.lightposition.x,e.lightposition.y,e.lightposition.z],ambient:e.lighting.ambient,diffuse:e.lighting.diffuse,specular:e.lighting.specular,roughness:e.lighting.roughness,fresnel:e.lighting.fresnel,vertexNormalsEpsilon:e.lighting.vertexnormalsepsilon,faceNormalsEpsilon:e.lighting.facenormalsepsilon,opacity:e.opacity,contourEnable:e.contour.show,contourColor:iZ(e.contour.color).slice(0,3),contourWidth:e.contour.width,useFacetNormals:e.flatshading};if(e.intensity){var s=BRt(e);this.color=\"#fff\";var l=e.intensitymode;o[l+\"Intensity\"]=e.intensity,o[l+\"IntensityBounds\"]=[s.min,s.max],o.colormap=ORt(e)}else e.vertexcolor?(this.color=e.vertexcolor[0],o.vertexColors=k8e(e.vertexcolor)):e.facecolor?(this.color=e.facecolor[0],o.cellColors=k8e(e.facecolor)):(this.color=e.color,o.meshColor=iZ(e.color));this.mesh.update(o)};nZ.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};function URt(e,t){var r=e.glplot.gl,n=RRt({gl:r}),i=new 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VRt=Tu(),jA=df().axisHoverFormat,GRt=Qo().hovertemplateAttrs,HRt=VA(),O8e=Vl(),aZ=Ao().extendFlat,uF={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},sizemode:{valType:\"enumerated\",values:[\"scaled\",\"absolute\",\"raw\"],editType:\"calc\",dflt:\"scaled\"},sizeref:{valType:\"number\",editType:\"calc\",min:0},anchor:{valType:\"enumerated\",editType:\"calc\",values:[\"tip\",\"tail\",\"cm\",\"center\"],dflt:\"cm\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:GRt({editType:\"calc\"},{keys:[\"norm\"]}),uhoverformat:jA(\"u\",1),vhoverformat:jA(\"v\",1),whoverformat:jA(\"w\",1),xhoverformat:jA(\"x\"),yhoverformat:jA(\"y\"),zhoverformat:jA(\"z\"),showlegend:aZ({},O8e.showlegend,{dflt:!1})};aZ(uF,VRt(\"\",{colorAttr:\"u/v/w 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KRt=Od().gl_cone3d,JRt=Od().gl_cone3d.createConeMesh,$Rt=Dr().simpleMap,QRt=$y().parseColorScale,eDt=tc().extractOpts,tDt=Dr().isArrayOrTypedArray,G8e=HA();function H8e(e,t){this.scene=e,this.uid=t,this.mesh=null,this.data=null}var sZ=H8e.prototype;sZ.handlePick=function(e){if(e.object===this.mesh){var t=e.index=e.data.index,r=this.data.x[t],n=this.data.y[t],i=this.data.z[t],a=this.data.u[t],o=this.data.v[t],s=this.data.w[t];e.traceCoordinate=[r,n,i,a,o,s,Math.sqrt(a*a+o*o+s*s)];var l=this.data.hovertext||this.data.text;return tDt(l)&&l[t]!==void 0?e.textLabel=l[t]:l&&(e.textLabel=l),!0}};var rDt={xaxis:0,yaxis:1,zaxis:2},iDt={tip:1,tail:0,cm:.25,center:.5},nDt={tip:1,tail:1,cm:.75,center:.5};function j8e(e,t){var r=e.fullSceneLayout,n=e.dataScale,i={};function a(c,f){var h=r[f],d=n[rDt[f]];return $Rt(c,function(v){return h.d2l(v)*d})}i.vectors=G8e(a(t.u,\"xaxis\"),a(t.v,\"yaxis\"),a(t.w,\"zaxis\"),t._len),i.positions=G8e(a(t.x,\"xaxis\"),a(t.y,\"yaxis\"),a(t.z,\"zaxis\"),t._len);var o=eDt(t);i.colormap=QRt(t),i.vertexIntensityBounds=[o.min/t._normMax,o.max/t._normMax],i.coneOffset=iDt[t.anchor];var s=t.sizemode;s===\"scaled\"?i.coneSize=t.sizeref||.5:s===\"absolute\"?i.coneSize=t.sizeref&&t._normMax?t.sizeref/t._normMax:.5:s===\"raw\"&&(i.coneSize=t.sizeref),i.coneSizemode=s;var l=KRt(i),u=t.lightposition;return l.lightPosition=[u.x,u.y,u.z],l.ambient=t.lighting.ambient,l.diffuse=t.lighting.diffuse,l.specular=t.lighting.specular,l.roughness=t.lighting.roughness,l.fresnel=t.lighting.fresnel,l.opacity=t.opacity,t._pad=nDt[t.anchor]*l.vectorScale*l.coneScale*t._normMax,l}sZ.update=function(e){this.data=e;var t=j8e(this.scene,e);this.mesh.update(t)};sZ.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};function aDt(e,t){var r=e.glplot.gl,n=j8e(e,t),i=JRt(r,n),a=new H8e(e,t.uid);return a.mesh=i,a.data=t,i._trace=a,e.glplot.add(i),a}W8e.exports=aDt});var Y8e=ye((W0r,Z8e)=>{\"use 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oDt=Tu(),WA=df().axisHoverFormat,sDt=Qo().hovertemplateAttrs,lDt=VA(),$8e=Vl(),lZ=Ao().extendFlat,cF={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:sDt({editType:\"calc\"},{keys:[\"tubex\",\"tubey\",\"tubez\",\"tubeu\",\"tubev\",\"tubew\",\"norm\",\"divergence\"]}),uhoverformat:WA(\"u\",1),vhoverformat:WA(\"v\",1),whoverformat:WA(\"w\",1),xhoverformat:WA(\"x\"),yhoverformat:WA(\"y\"),zhoverformat:WA(\"z\"),showlegend:lZ({},$8e.showlegend,{dflt:!1})};lZ(cF,oDt(\"\",{colorAttr:\"u/v/w 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t=sRe(this.scene,e);this.mesh.update(t)};fZ.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};function mDt(e,t){var r=e.glplot.gl,n=sRe(e,t),i=dDt(r,n),a=new oRe(e,t.uid);return a.mesh=i,a.data=t,i._trace=a,e.glplot.add(i),a}lRe.exports=mDt});var fRe=ye((J0r,cRe)=>{\"use strict\";cRe.exports={moduleType:\"trace\",name:\"streamtube\",basePlotModule:Q_(),categories:[\"gl3d\",\"showLegend\"],attributes:uZ(),supplyDefaults:tRe(),colorbar:{min:\"cmin\",max:\"cmax\"},calc:aF().calc,plot:uRe(),eventData:function(e,t){return e.tubex=e.x,e.tubey=e.y,e.tubez=e.z,e.tubeu=t.traceCoordinate[3],e.tubev=t.traceCoordinate[4],e.tubew=t.traceCoordinate[5],e.norm=t.traceCoordinate[6],e.divergence=t.traceCoordinate[7],delete e.x,delete e.y,delete e.z,e},meta:{}}});var dRe=ye(($0r,hRe)=>{\"use strict\";hRe.exports=fRe()});var G2=ye((egr,gRe)=>{\"use strict\";var yDt=Qo().hovertemplateAttrs,_Dt=Qo().texttemplateAttrs,xDt=Eg(),jm=pf(),bDt=Vl(),vRe=Tu(),wDt=Pd().dash,V2=Ao().extendFlat,TDt=mc().overrideAll,eg=jm.marker,pRe=jm.line,ADt=eg.line,Q0r=[\"The library used by the *country names* `locationmode` option is changing in an upcoming version.\",\"Country names in existing plots may not work in the new version.\"].join(\" \");gRe.exports=TDt({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country 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yRe=ye((tgr,mRe)=>{\"use strict\";var hZ=Dr(),dZ=Ru(),SDt=$p(),MDt=R0(),EDt=D0(),CDt=Ig(),kDt=G2();mRe.exports=function(t,r,n,i){function a(d,v){return hZ.coerce(t,r,kDt,d,v)}var o=a(\"locations\"),s;if(o&&o.length){var l=a(\"geojson\"),u;(typeof l==\"string\"&&l!==\"\"||hZ.isPlainObject(l))&&(u=\"geojson-id\");var c=a(\"locationmode\",u);c===\"geojson-id\"&&a(\"featureidkey\"),s=o.length}else{var f=a(\"lon\")||[],h=a(\"lat\")||[];s=Math.min(f.length,h.length)}if(!s){r.visible=!1;return}r._length=s,a(\"text\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"mode\"),dZ.hasMarkers(r)&&SDt(t,r,n,i,a,{gradient:!0}),dZ.hasLines(r)&&(MDt(t,r,n,i,a),a(\"connectgaps\")),dZ.hasText(r)&&(a(\"texttemplate\"),EDt(t,r,i,a)),a(\"fill\"),r.fill!==\"none\"&&CDt(t,r,n,a),hZ.coerceSelectionMarkerOpacity(r,a)}});var bRe=ye((rgr,xRe)=>{\"use strict\";var _Re=ho();xRe.exports=function(t,r,n){var i={},a=n[r.geo]._subplot,o=a.mockAxis,s=t.lonlat;return 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Re=2-n(be)/G(2*E/3);return[ve*G(6*E)/(2*Re),v(be)*O((4-Re*Re)/3)]};function wn(){return t.geoProjection(Pn).scale(165.664)}function pn(ve,be){var Re=G(E*(4+E));return[2/Re*ve*(1+G(1-4*be*be/(E*E))),4/Re*be]}pn.invert=function(ve,be){var Re=G(E*(4+E))/2;return[ve*Re/(1+G(1-be*be*(4+E)/(4*E))),be*Re/2]};function Vn(){return t.geoProjection(pn).scale(180.739)}function kn(ve,be){var Re=(2+A)*x(be);be/=2;for(var Be=0,tt=1/0;Be<10&&n(tt)>p;Be++){var We=o(be);be-=tt=(be+x(be)*(We+2)-Re)/(2*We*(1+We))}return[2/G(E*(4+E))*ve*(1+o(be)),2*G(E/(4+E))*x(be)]}kn.invert=function(ve,be){var Re=be*G((4+E)/E)/2,Be=O(Re),tt=o(Be);return[ve/(2/G(E*(4+E))*(1+tt)),O((Be+Re*(tt+2))/(2+A))]};function ea(){return t.geoProjection(kn).scale(180.739)}function ua(ve,be){return[ve*(1+o(be))/G(2+E),2*be/G(2+E)]}ua.invert=function(ve,be){var Re=G(2+E),Be=be*Re/2;return[Re*ve/(1+o(Be)),Be]};function Vt(){return t.geoProjection(ua).scale(173.044)}function _t(ve,be){for(var Re=(1+A)*x(be),Be=0,tt=1/0;Be<10&&n(tt)>p;Be++)be-=tt=(be+x(be)-Re)/(1+o(be));return Re=G(2+E),[ve*(1+o(be))/Re,2*be/Re]}_t.invert=function(ve,be){var Re=1+A,Be=G(Re/2);return[ve*2*Be/(1+o(be*=Be)),O((be+x(be))/Re)]};function tr(){return t.geoProjection(_t).scale(173.044)}var ar=3+2*k;function Er(ve,be){var Re=x(ve/=2),Be=o(ve),tt=G(o(be)),We=o(be/=2),it=x(be)/(We+k*Be*tt),Dt=G(2/(1+it*it)),Ht=G((k*We+(Be+Re)*tt)/(k*We+(Be-Re)*tt));return[ar*(Dt*(Ht-1/Ht)-2*u(Ht)),ar*(Dt*it*(Ht+1/Ht)-2*i(it))]}Er.invert=function(ve,be){if(!(We=Se.invert(ve/1.2,be*1.065)))return null;var Re=We[0],Be=We[1],tt=20,We;ve/=ar,be/=ar;do{var 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t.geoProjection($r).scale(137.152)}function Ji(ve,be){var Re=be/2,Be=o(Re);return[2*ve/M*o(be)*Be*Be,M*b(Re)]}Ji.invert=function(ve,be){var Re=i(be/M),Be=o(Re),tt=2*Re;return[ve*M/2/(o(tt)*Be*Be),tt]};function en(){return t.geoProjection(Ji).scale(135.264)}function cn(ve){var be=1-ve,Re=We(E,0)[0]-We(-E,0)[0],Be=We(0,A)[1]-We(0,-A)[1],tt=G(2*Be/Re);function We(Ht,rr){var dr=o(rr),Sr=x(rr);return[dr/(be+ve*dr)*Ht,be*rr+ve*Sr]}function it(Ht,rr){var dr=We(Ht,rr);return[dr[0]*tt,dr[1]/tt]}function Dt(Ht){return it(0,Ht)[1]}return it.invert=function(Ht,rr){var dr=Wt(Dt,rr),Sr=Ht/tt*(ve+be/o(dr));return[Sr,dr]},it}function yn(){var ve=.5,be=t.geoProjectionMutator(cn),Re=be(ve);return Re.alpha=function(Be){return arguments.length?be(ve=+Be):ve},Re.scale(168.725)}function Mn(ve){return[ve[0]/2,O(b(ve[1]/2*T))*P]}function Ba(ve){return[ve[0]*2,2*i(x(ve[1]*T))*P]}function la(ve){ve==null&&(ve=t.geoOrthographic);var be=ve(),Re=t.geoEquirectangular().scale(P).precision(0).clipAngle(null).translate([0,0]);function Be(We){return be(Mn(We))}be.invert&&(Be.invert=function(We){return Ba(be.invert(We))}),Be.stream=function(We){var it=be.stream(We),Dt=Re.stream({point:function(Ht,rr){it.point(Ht/2,O(b(-rr/2*T))*P)},lineStart:function(){it.lineStart()},lineEnd:function(){it.lineEnd()},polygonStart:function(){it.polygonStart()},polygonEnd:function(){it.polygonEnd()}});return Dt.sphere=it.sphere,Dt};function tt(We){Be[We]=function(){return arguments.length?(be[We].apply(be,arguments),Be):be[We]()}}return Be.rotate=function(We){return arguments.length?(Re.rotate(We),Be):Re.rotate()},Be.center=function(We){return arguments.length?(be.center(Mn(We)),Be):Ba(be.center())},tt(\"angle\"),tt(\"clipAngle\"),tt(\"clipExtent\"),tt(\"fitExtent\"),tt(\"fitHeight\"),tt(\"fitSize\"),tt(\"fitWidth\"),tt(\"scale\"),tt(\"translate\"),tt(\"precision\"),Be.scale(249.5)}function ma(ve,be){var Re=2*E/be,Be=ve*ve;function tt(We,it){var Dt=t.geoAzimuthalEquidistantRaw(We,it),Ht=Dt[0],rr=Dt[1],dr=Ht*Ht+rr*rr;if(dr>Be){var Sr=G(dr),Or=a(rr,Ht),jr=Re*d(Or/Re),ii=Or-jr,Li=ve*o(ii),un=(ve*x(ii)-ii*x(Li))/(A-Li),sn=Wa(ii,un),In=(E-ve)/Fa(sn,Li,E);Ht=Sr;var Kn=50,Aa;do Ht-=Aa=(ve+Fa(sn,Li,Ht)*In-Sr)/(sn(Ht)*In);while(n(Aa)>p&&--Kn>0);rr=ii*x(Ht),Ht<A&&(rr-=un*(Ht-A));var fa=x(jr),$a=o(jr);Dt[0]=Ht*$a-rr*fa,Dt[1]=Ht*fa+rr*$a}return Dt}return tt.invert=function(We,it){var Dt=We*We+it*it;if(Dt>Be){var Ht=G(Dt),rr=a(it,We),dr=Re*d(rr/Re),Sr=rr-dr;We=Ht*o(Sr),it=Ht*x(Sr);for(var Or=We-A,jr=x(We),ii=it/jr,Li=We<A?1/0:0,un=10;;){var sn=ve*x(ii),In=ve*o(ii),Kn=x(In),Aa=A-In,fa=(sn-ii*Kn)/Aa,$a=Wa(ii,fa);if(n(Li)<C||!--un)break;ii-=Li=(ii*jr-fa*Or-it)/(jr-Or*2*(Aa*(In+ii*sn*o(In)-Kn)-sn*(sn-ii*Kn))/(Aa*Aa))}Ht=ve+Fa($a,In,We)*(E-ve)/Fa($a,In,E),rr=dr+ii,We=Ht*o(rr),it=Ht*x(rr)}return t.geoAzimuthalEquidistantRaw.invert(We,it)},tt}function Wa(ve,be){return function(Re){var Be=ve*o(Re);return Re<A&&(Be-=be),G(1+Be*Be)}}function Fa(ve,be,Re){for(var Be=50,tt=(Re-be)/Be,We=ve(be)+ve(Re),it=1,Dt=be;it<Be;++it)We+=2*ve(Dt+=tt);return We*.5*tt}function Wo(){var ve=6,be=30*T,Re=o(be),Be=x(be),tt=t.geoProjectionMutator(ma),We=tt(be,ve),it=We.stream,Dt=.01,Ht=-o(Dt*T),rr=x(Dt*T);return We.radius=function(dr){return arguments.length?(Re=o(be=dr*T),Be=x(be),tt(be,ve)):be*P},We.lobes=function(dr){return arguments.length?tt(be,ve=+dr):ve},We.stream=function(dr){var Sr=We.rotate(),Or=it(dr),jr=(We.rotate([0,0]),it(dr));return We.rotate(Sr),Or.sphere=function(){jr.polygonStart(),jr.lineStart();for(var ii=0,Li=2*E/ve,un=0;ii<ve;++ii,un-=Li)jr.point(a(rr*o(un),Ht)*P,O(rr*x(un))*P),jr.point(a(Be*o(un-Li/2),Re)*P,O(Be*x(un-Li/2))*P);jr.lineEnd(),jr.polygonEnd()},Or},We.rotate([90,-40]).scale(91.7095).clipAngle(180-.001)}function da(ve,be,Re,Be,tt,We,it,Dt){arguments.length<8&&(Dt=0);function Ht(rr,dr){if(!dr)return[ve*rr/E,0];var 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t.geoProjection(vo).scale(153.93)}var St=da(5/6*E,-.62636,-.0344,0,1.3493,-.05524,0,.045);function Cr(){return t.geoProjection(St).scale(130.945)}function Qr(ve,be){var Re=ve*ve,Be=be*be;return[ve*(1-.162388*Be)*(.87-952426e-9*Re*Re),be*(1+Be/12)]}Qr.invert=function(ve,be){var Re=ve,Be=be,tt=50,We;do{var it=Be*Be;Be-=We=(Be*(1+it/12)-be)/(1+it/4)}while(n(We)>p&&--tt>0);tt=50,ve/=1-.162388*it;do{var Dt=(Dt=Re*Re)*Dt;Re-=We=(Re*(.87-952426e-9*Dt)-ve)/(.87-.00476213*Dt)}while(n(We)>p&&--tt>0);return[Re,Be]};function pi(){return t.geoProjection(Qr).scale(131.747)}var fn=da(2.6516,-.76534,.19123,-.047094,1.36289,-.13965,.031762);function Sn(){return t.geoProjection(fn).scale(131.087)}function En(ve){var be=ve(A,0)[0]-ve(-A,0)[0];function Re(Be,tt){var We=Be>0?-.5:.5,it=ve(Be+We*E,tt);return it[0]-=We*be,it}return ve.invert&&(Re.invert=function(Be,tt){var We=Be>0?-.5:.5,it=ve.invert(Be+We*be,tt),Dt=it[0]-We*E;return Dt<-E?Dt+=2*E:Dt>E&&(Dt-=2*E),it[0]=Dt,it}),Re}function ki(ve,be){var Re=v(ve),Be=v(be),tt=o(be),We=o(ve)*tt,it=x(ve)*tt,Dt=x(Be*be);ve=n(a(it,Dt)),be=O(We),n(ve-A)>p&&(ve%=A);var Ht=_n(ve>E/4?A-ve:ve,be);return ve>E/4&&(Dt=Ht[0],Ht[0]=-Ht[1],Ht[1]=-Dt),Ht[0]*=Re,Ht[1]*=-Be,Ht}ki.invert=function(ve,be){n(ve)>1&&(ve=v(ve)*2-ve),n(be)>1&&(be=v(be)*2-be);var Re=v(ve),Be=v(be),tt=-Re*ve,We=-Be*be,it=We/tt<1,Dt=ya(it?We:tt,it?tt:We),Ht=Dt[0],rr=Dt[1],dr=o(rr);return it&&(Ht=-A-Ht),[Re*(a(x(Ht)*dr,-x(rr))+E),Be*O(o(Ht)*dr)]};function _n(ve,be){if(be===A)return[0,0];var Re=x(be),Be=Re*Re,tt=Be*Be,We=1+tt,it=1+3*tt,Dt=1-tt,Ht=O(1/G(We)),rr=Dt+Be*We*Ht,dr=(1-Re)/rr,Sr=G(dr),Or=dr*We,jr=G(Or),ii=Sr*Dt,Li,un;if(ve===0)return[0,-(ii+Be*jr)];var sn=o(be),In=1/sn,Kn=2*Re*sn,Aa=(-3*Be+Ht*it)*Kn,fa=(-rr*sn-(1-Re)*Aa)/(rr*rr),$a=.5*fa/Sr,ko=Dt*$a-2*Be*Sr*Kn,Qa=Be*We*fa+dr*it*Kn,mo=-In*Kn,Bo=-In*Qa,Is=-2*In*ko,As=4*ve/E,wo;if(ve>.222*E||be<E/4&&ve>.175*E){if(Li=(ii+Be*G(Or*(1+tt)-ii*ii))/(1+tt),ve>E/4)return[Li,Li];var To=Li,dl=.5*Li;Li=.5*(dl+To),un=50;do{var Nl=G(Or-Li*Li),Lu=Li*(Is+mo*Nl)+Bo*O(Li/jr)-As;if(!Lu)break;Lu<0?dl=Li:To=Li,Li=.5*(dl+To)}while(n(To-dl)>p&&--un>0)}else{Li=p,un=25;do{var ou=Li*Li,$s=G(Or-ou),Ql=Is+mo*$s,dc=Li*Ql+Bo*O(Li/jr)-As,Tl=Ql+(Bo-mo*ou)/$s;Li-=wo=$s?dc/Tl:0}while(n(wo)>p&&--un>0)}return[Li,-ii-Be*G(Or-Li*Li)]}function ya(ve,be){for(var Re=0,Be=1,tt=.5,We=50;;){var it=tt*tt,Dt=G(tt),Ht=O(1/G(1+it)),rr=1-it+tt*(1+it)*Ht,dr=(1-Dt)/rr,Sr=G(dr),Or=dr*(1+it),jr=Sr*(1-it),ii=Or-ve*ve,Li=G(ii),un=be+jr+tt*Li;if(n(Be-Re)<C||--We===0||un===0)break;un>0?Re=tt:Be=tt,tt=.5*(Re+Be)}if(!We)return null;var sn=O(Dt),In=o(sn),Kn=1/In,Aa=2*Dt*In,fa=(-3*tt+Ht*(1+3*it))*Aa,$a=(-rr*In-(1-Dt)*fa)/(rr*rr),ko=.5*$a/Sr,Qa=(1-it)*ko-2*tt*Sr*Aa,mo=-2*Kn*Qa,Bo=-Kn*Aa,Is=-Kn*(tt*(1+it)*$a+dr*(1+3*it)*Aa);return[E/4*(ve*(mo+Bo*Li)+Is*O(ve/G(Or))),sn]}function Jn(){return t.geoProjection(En(ki)).scale(239.75)}function Ma(ve,be,Re){var Be,tt,We;return ve?(Be=_o(ve,Re),be?(tt=_o(be,1-Re),We=tt[1]*tt[1]+Re*Be[0]*Be[0]*tt[0]*tt[0],[[Be[0]*tt[2]/We,Be[1]*Be[2]*tt[0]*tt[1]/We],[Be[1]*tt[1]/We,-Be[0]*Be[2]*tt[0]*tt[2]/We],[Be[2]*tt[1]*tt[2]/We,-Re*Be[0]*Be[1]*tt[0]/We]]):[[Be[0],0],[Be[1],0],[Be[2],0]]):(tt=_o(be,1-Re),[[0,tt[0]/tt[1]],[1/tt[1],0],[tt[2]/tt[1],0]])}function _o(ve,be){var Re,Be,tt,We,it;if(be<p)return We=x(ve),Be=o(ve),Re=be*(ve-We*Be)/4,[We-Re*Be,Be+Re*We,1-be*We*We/2,ve-Re];if(be>=1-p)return Re=(1-be)/4,Be=N(ve),We=Z(ve),tt=1/Be,it=Be*H(ve),[We+Re*(it-ve)/(Be*Be),tt-Re*We*tt*(it-ve),tt+Re*We*tt*(it+ve),2*i(s(ve))-A+Re*(it-ve)/Be];var Dt=[1,0,0,0,0,0,0,0,0],Ht=[G(be),0,0,0,0,0,0,0,0],rr=0;for(Be=G(1-be),it=1;n(Ht[rr]/Dt[rr])>p&&rr<8;)Re=Dt[rr++],Ht[rr]=(Re-Be)/2,Dt[rr]=(Re+Be)/2,Be=G(Re*Be),it*=2;tt=it*Dt[rr]*ve;do We=Ht[rr]*x(Be=tt)/Dt[rr],tt=(O(We)+tt)/2;while(--rr);return[x(tt),We=o(tt),We/o(tt-Be),tt]}function No(ve,be,Re){var Be=n(ve),tt=n(be),We=H(tt);if(Be){var it=1/x(Be),Dt=1/(b(Be)*b(Be)),Ht=-(Dt+Re*(We*We*it*it)-1+Re),rr=(Re-1)*Dt,dr=(-Ht+G(Ht*Ht-4*rr))/2;return[po(i(1/G(dr)),Re)*v(ve),po(i(G((dr/Dt-1)/Re)),1-Re)*v(be)]}return[0,po(i(We),1-Re)*v(be)]}function po(ve,be){if(!be)return ve;if(be===1)return u(b(ve/2+L));for(var Re=1,Be=G(1-be),tt=G(be),We=0;n(tt)>p;We++){if(ve%E){var it=i(Be*b(ve)/Re);it<0&&(it+=E),ve+=it+~~(ve/E)*E}else ve+=ve;tt=(Re+Be)/2,Be=G(Re*Be),tt=((Re=tt)-Be)/2}return ve/(h(2,We)*Re)}function Lo(ve,be){var Re=(k-1)/(k+1),Be=G(1-Re*Re),tt=po(A,Be*Be),We=-1,it=u(b(E/4+n(be)/2)),Dt=s(We*it)/G(Re),Ht=Co(Dt*o(We*ve),Dt*x(We*ve)),rr=No(Ht[0],Ht[1],Be*Be);return[-rr[1],(be>=0?1:-1)*(.5*tt-rr[0])]}function Co(ve,be){var Re=ve*ve,Be=be+1,tt=1-Re-be*be;return[.5*((ve>=0?A:-A)-a(tt,2*ve)),-.25*u(tt*tt+4*Re)+.5*u(Be*Be+Re)]}function Fs(ve,be){var Re=be[0]*be[0]+be[1]*be[1];return[(ve[0]*be[0]+ve[1]*be[1])/Re,(ve[1]*be[0]-ve[0]*be[1])/Re]}Lo.invert=function(ve,be){var Re=(k-1)/(k+1),Be=G(1-Re*Re),tt=po(A,Be*Be),We=-1,it=Ma(.5*tt-be,-ve,Be*Be),Dt=Fs(it[0],it[1]),Ht=a(Dt[1],Dt[0])/We;return[Ht,2*i(s(.5/We*u(Re*Dt[0]*Dt[0]+Re*Dt[1]*Dt[1])))-A]};function zs(){return t.geoProjection(En(Lo)).scale(151.496)}function ul(ve){var be=x(ve),Re=o(ve),Be=cl(ve);Be.invert=cl(-ve);function tt(We,it){var Dt=Be(We,it);We=Dt[0],it=Dt[1];var Ht=x(it),rr=o(it),dr=o(We),Sr=V(be*Ht+Re*rr*dr),Or=x(Sr),jr=n(Or)>p?Sr/Or:1;return[jr*Re*x(We),(n(We)>A?jr:-jr)*(be*rr-Re*Ht*dr)]}return tt.invert=function(We,it){var Dt=G(We*We+it*it),Ht=-x(Dt),rr=o(Dt),dr=Dt*rr,Sr=-it*Ht,Or=Dt*be,jr=G(dr*dr+Sr*Sr-Or*Or),ii=a(dr*Or+Sr*jr,Sr*Or-dr*jr),Li=(Dt>A?-1:1)*a(We*Ht,Dt*o(ii)*rr+it*x(ii)*Ht);return Be.invert(Li,ii)},tt}function cl(ve){var be=x(ve),Re=o(ve);return function(Be,tt){var We=o(tt),it=o(Be)*We,Dt=x(Be)*We,Ht=x(tt);return[a(Dt,it*Re-Ht*be),O(Ht*Re+it*be)]}}function Fl(){var ve=0,be=t.geoProjectionMutator(ul),Re=be(ve),Be=Re.rotate,tt=Re.stream,We=t.geoCircle();return Re.parallel=function(it){if(!arguments.length)return ve*P;var Dt=Re.rotate();return be(ve=it*T).rotate(Dt)},Re.rotate=function(it){return arguments.length?(Be.call(Re,[it[0],it[1]-ve*P]),We.center([-it[0],-it[1]]),Re):(it=Be.call(Re),it[1]+=ve*P,it)},Re.stream=function(it){return it=tt(it),it.sphere=function(){it.polygonStart();var Dt=.01,Ht=We.radius(90-Dt)().coordinates[0],rr=Ht.length-1,dr=-1,Sr;for(it.lineStart();++dr<rr;)it.point((Sr=Ht[dr])[0],Sr[1]);for(it.lineEnd(),Ht=We.radius(90+Dt)().coordinates[0],rr=Ht.length-1,it.lineStart();--dr>=0;)it.point((Sr=Ht[dr])[0],Sr[1]);it.lineEnd(),it.polygonEnd()},it},Re.scale(79.4187).parallel(45).clipAngle(180-.001)}var cs=3,nl=O(1-1/cs)*P,Ss=pr(0);function fl(ve){var be=nl*T,Re=wt(E,be)[0]-wt(-E,be)[0],Be=Ss(0,be)[1],tt=wt(0,be)[1],We=M-tt,it=g/ve,Dt=4/g,Ht=Be+We*We*4/g;function rr(dr,Sr){var Or,jr=n(Sr);if(jr>be){var ii=f(ve-1,c(0,l((dr+E)/it)));dr+=E*(ve-1)/ve-ii*it,Or=wt(dr,jr),Or[0]=Or[0]*g/Re-g*(ve-1)/(2*ve)+ii*g/ve,Or[1]=Be+(Or[1]-tt)*4*We/g,Sr<0&&(Or[1]=-Or[1])}else Or=Ss(dr,Sr);return Or[0]*=Dt,Or[1]/=Ht,Or}return rr.invert=function(dr,Sr){dr/=Dt,Sr*=Ht;var Or=n(Sr);if(Or>Be){var jr=f(ve-1,c(0,l((dr+E)/it)));dr=(dr+E*(ve-1)/ve-jr*it)*Re/g;var ii=wt.invert(dr,.25*(Or-Be)*g/We+tt);return ii[0]-=E*(ve-1)/ve-jr*it,Sr<0&&(ii[1]=-ii[1]),ii}return Ss.invert(dr,Sr)},rr}function Js(ve,be){return[ve,be&1?90-p:nl]}function Os(ve,be){return[ve,be&1?-90+p:-nl]}function Io(ve){return[ve[0]*(1-p),ve[1]]}function us(ve){var be=[].concat(r.range(-180,180+ve/2,ve).map(Js),r.range(180,-180-ve/2,-ve).map(Os));return{type:\"Polygon\",coordinates:[ve===180?be.map(Io):be]}}function Zl(){var ve=4,be=t.geoProjectionMutator(fl),Re=be(ve),Be=Re.stream;return Re.lobes=function(tt){return arguments.length?be(ve=+tt):ve},Re.stream=function(tt){var We=Re.rotate(),it=Be(tt),Dt=(Re.rotate([0,0]),Be(tt));return Re.rotate(We),it.sphere=function(){t.geoStream(us(180/ve),Dt)},it},Re.scale(239.75)}function Su(ve){var be=1+ve,Re=x(1/be),Be=O(Re),tt=2*G(E/(We=E+4*Be*be)),We,it=.5*tt*(be+G(ve*(2+ve))),Dt=ve*ve,Ht=be*be;function rr(dr,Sr){var Or=1-x(Sr),jr,ii;if(Or&&Or<2){var Li=A-Sr,un=25,sn;do{var In=x(Li),Kn=o(Li),Aa=Be+a(In,be-Kn),fa=1+Ht-2*be*Kn;Li-=sn=(Li-Dt*Be-be*In+fa*Aa-.5*Or*We)/(2*be*In*Aa)}while(n(sn)>C&&--un>0);jr=tt*G(fa),ii=dr*Aa/E}else jr=tt*(ve+Or),ii=dr*Be/E;return[jr*x(ii),it-jr*o(ii)]}return rr.invert=function(dr,Sr){var Or=dr*dr+(Sr-=it)*Sr,jr=(1+Ht-Or/(tt*tt))/(2*be),ii=V(jr),Li=x(ii),un=Be+a(Li,be-jr);return[O(dr/G(Or))*E/un,O(1-2*(ii-Dt*Be-be*Li+(1+Ht-2*be*jr)*un)/We)]},rr}function nc(){var ve=1,be=t.geoProjectionMutator(Su),Re=be(ve);return Re.ratio=function(Be){return arguments.length?be(ve=+Be):ve},Re.scale(167.774).center([0,18.67])}var ws=.7109889596207567,Fn=.0528035274542;function _a(ve,be){return be>-ws?(ve=sr(ve,be),ve[1]+=Fn,ve):Ft(ve,be)}_a.invert=function(ve,be){return be>-ws?sr.invert(ve,be-Fn):Ft.invert(ve,be)};function Vu(){return t.geoProjection(_a).rotate([-20,-55]).scale(164.263).center([0,-5.4036])}function zl(ve,be){return n(be)>ws?(ve=sr(ve,be),ve[1]-=be>0?Fn:-Fn,ve):Ft(ve,be)}zl.invert=function(ve,be){return n(be)>ws?sr.invert(ve,be+(be>0?Fn:-Fn)):Ft.invert(ve,be)};function xo(){return t.geoProjection(zl).scale(152.63)}function Yl(ve,be,Re,Be){var tt=G(4*E/(2*Re+(1+ve-be/2)*x(2*Re)+(ve+be)/2*x(4*Re)+be/2*x(6*Re))),We=G(Be*x(Re)*G((1+ve*o(2*Re)+be*o(4*Re))/(1+ve+be))),it=Re*Ht(1);function Dt(Sr){return G(1+ve*o(2*Sr)+be*o(4*Sr))}function Ht(Sr){var Or=Sr*Re;return(2*Or+(1+ve-be/2)*x(2*Or)+(ve+be)/2*x(4*Or)+be/2*x(6*Or))/Re}function rr(Sr){return Dt(Sr)*x(Sr)}var dr=function(Sr,Or){var jr=Re*Wt(Ht,it*x(Or)/Re,Or/E);isNaN(jr)&&(jr=Re*v(Or));var ii=tt*Dt(jr);return[ii*We*Sr/E*o(jr),ii/We*x(jr)]};return dr.invert=function(Sr,Or){var jr=Wt(rr,Or*We/tt);return[Sr*E/(o(jr)*tt*We*Dt(jr)),O(Re*Ht(jr/Re)/it)]},Re===0&&(tt=G(Be/E),dr=function(Sr,Or){return[Sr*tt,x(Or)/tt]},dr.invert=function(Sr,Or){return[Sr/tt,O(Or*tt)]}),dr}function Us(){var ve=1,be=0,Re=45*T,Be=2,tt=t.geoProjectionMutator(Yl),We=tt(ve,be,Re,Be);return We.a=function(it){return arguments.length?tt(ve=+it,be,Re,Be):ve},We.b=function(it){return arguments.length?tt(ve,be=+it,Re,Be):be},We.psiMax=function(it){return arguments.length?tt(ve,be,Re=+it*T,Be):Re*P},We.ratio=function(it){return arguments.length?tt(ve,be,Re,Be=+it):Be},We.scale(180.739)}function Hl(ve,be,Re,Be,tt,We,it,Dt,Ht,rr,dr){if(dr.nanEncountered)return NaN;var Sr,Or,jr,ii,Li,un,sn,In,Kn,Aa;if(Sr=Re-be,Or=ve(be+Sr*.25),jr=ve(Re-Sr*.25),isNaN(Or)){dr.nanEncountered=!0;return}if(isNaN(jr)){dr.nanEncountered=!0;return}return ii=Sr*(Be+4*Or+tt)/12,Li=Sr*(tt+4*jr+We)/12,un=ii+Li,Aa=(un-it)/15,rr>Ht?(dr.maxDepthCount++,un+Aa):Math.abs(Aa)<Dt?un+Aa:(sn=be+Sr*.5,In=Hl(ve,be,sn,Be,Or,tt,ii,Dt*.5,Ht,rr+1,dr),isNaN(In)?(dr.nanEncountered=!0,NaN):(Kn=Hl(ve,sn,Re,tt,jr,We,Li,Dt*.5,Ht,rr+1,dr),isNaN(Kn)?(dr.nanEncountered=!0,NaN):In+Kn))}function ac(ve,be,Re,Be,tt){var We={maxDepthCount:0,nanEncountered:!1};Be===void 0&&(Be=1e-8),tt===void 0&&(tt=20);var it=ve(be),Dt=ve(.5*(be+Re)),Ht=ve(Re),rr=(it+4*Dt+Ht)*(Re-be)/6,dr=Hl(ve,be,Re,it,Dt,Ht,rr,Be,tt,1,We);return dr}function aa(ve,be,Re){function Be(jr){return ve+(1-ve)*h(1-h(jr,be),1/be)}function tt(jr){return ac(Be,0,jr,1e-4)}for(var We=1/tt(1),it=1e3,Dt=(1+1e-8)*We,Ht=[],rr=0;rr<=it;rr++)Ht.push(tt(rr/it)*Dt);function dr(jr){var ii=0,Li=it,un=it>>1;do Ht[un]>jr?Li=un:ii=un,un=ii+Li>>1;while(un>ii);var sn=Ht[un+1]-Ht[un];return sn&&(sn=(jr-Ht[un+1])/sn),(un+1+sn)/it}var Sr=2*dr(1)/E*We/Re,Or=function(jr,ii){var Li=dr(n(x(ii))),un=Be(Li)*jr;return Li/=Sr,[un,ii>=0?Li:-Li]};return Or.invert=function(jr,ii){var Li;return ii*=Sr,n(ii)<1&&(Li=v(ii)*O(tt(n(ii))*We)),[jr/Be(n(ii)),Li]},Or}function Oo(){var ve=0,be=2.5,Re=1.183136,Be=t.geoProjectionMutator(aa),tt=Be(ve,be,Re);return tt.alpha=function(We){return arguments.length?Be(ve=+We,be,Re):ve},tt.k=function(We){return arguments.length?Be(ve,be=+We,Re):be},tt.gamma=function(We){return arguments.length?Be(ve,be,Re=+We):Re},tt.scale(152.63)}function qo(ve,be){return n(ve[0]-be[0])<p&&n(ve[1]-be[1])<p}function Ol(ve,be){for(var Re=-1,Be=ve.length,tt=ve[0],We,it,Dt,Ht=[];++Re<Be;){We=ve[Re],it=(We[0]-tt[0])/be,Dt=(We[1]-tt[1])/be;for(var rr=0;rr<be;++rr)Ht.push([tt[0]+rr*it,tt[1]+rr*Dt]);tt=We}return Ht.push(We),Ht}function Pc(ve){var be=[],Re,Be,tt,We,it,Dt,Ht,rr=ve[0].length;for(Ht=0;Ht<rr;++Ht)Re=ve[0][Ht],Be=Re[0][0],tt=Re[0][1],We=Re[1][1],it=Re[2][0],Dt=Re[2][1],be.push(Ol([[Be+p,tt+p],[Be+p,We-p],[it-p,We-p],[it-p,Dt+p]],30));for(Ht=ve[1].length-1;Ht>=0;--Ht)Re=ve[1][Ht],Be=Re[0][0],tt=Re[0][1],We=Re[1][1],it=Re[2][0],Dt=Re[2][1],be.push(Ol([[it-p,Dt-p],[it-p,We+p],[Be+p,We+p],[Be+p,tt-p]],30));return{type:\"Polygon\",coordinates:[r.merge(be)]}}function Do(ve,be,Re){var Be,tt;function We(Ht,rr){for(var dr=rr<0?-1:1,Sr=be[+(rr<0)],Or=0,jr=Sr.length-1;Or<jr&&Ht>Sr[Or][2][0];++Or);var ii=ve(Ht-Sr[Or][1][0],rr);return ii[0]+=ve(Sr[Or][1][0],dr*rr>dr*Sr[Or][0][1]?Sr[Or][0][1]:rr)[0],ii}Re?We.invert=Re(We):ve.invert&&(We.invert=function(Ht,rr){for(var dr=tt[+(rr<0)],Sr=be[+(rr<0)],Or=0,jr=dr.length;Or<jr;++Or){var ii=dr[Or];if(ii[0][0]<=Ht&&Ht<ii[1][0]&&ii[0][1]<=rr&&rr<ii[1][1]){var Li=ve.invert(Ht-ve(Sr[Or][1][0],0)[0],rr);return Li[0]+=Sr[Or][1][0],qo(We(Li[0],Li[1]),[Ht,rr])?Li:null}}});var it=t.geoProjection(We),Dt=it.stream;return it.stream=function(Ht){var rr=it.rotate(),dr=Dt(Ht),Sr=(it.rotate([0,0]),Dt(Ht));return it.rotate(rr),dr.sphere=function(){t.geoStream(Be,Sr)},dr},it.lobes=function(Ht){return arguments.length?(Be=Pc(Ht),be=Ht.map(function(rr){return rr.map(function(dr){return[[dr[0][0]*T,dr[0][1]*T],[dr[1][0]*T,dr[1][1]*T],[dr[2][0]*T,dr[2][1]*T]]})}),tt=be.map(function(rr){return rr.map(function(dr){var Sr=ve(dr[0][0],dr[0][1])[0],Or=ve(dr[2][0],dr[2][1])[0],jr=ve(dr[1][0],dr[0][1])[1],ii=ve(dr[1][0],dr[1][1])[1],Li;return jr>ii&&(Li=jr,jr=ii,ii=Li),[[Sr,jr],[Or,ii]]})}),it):be.map(function(rr){return rr.map(function(dr){return[[dr[0][0]*P,dr[0][1]*P],[dr[1][0]*P,dr[1][1]*P],[dr[2][0]*P,dr[2][1]*P]]})})},be!=null&&it.lobes(be),it}var rf=[[[[-180,0],[-100,90],[-40,0]],[[-40,0],[30,90],[180,0]]],[[[-180,0],[-160,-90],[-100,0]],[[-100,0],[-60,-90],[-20,0]],[[-20,0],[20,-90],[80,0]],[[80,0],[140,-90],[180,0]]]];function Uf(){return Do(Et,rf).scale(160.857)}var ml=[[[[-180,0],[-100,90],[-40,0]],[[-40,0],[30,90],[180,0]]],[[[-180,0],[-160,-90],[-100,0]],[[-100,0],[-60,-90],[-20,0]],[[-20,0],[20,-90],[80,0]],[[80,0],[140,-90],[180,0]]]];function Zc(){return Do(zl,ml).scale(152.63)}var Kl=[[[[-180,0],[-100,90],[-40,0]],[[-40,0],[30,90],[180,0]]],[[[-180,0],[-160,-90],[-100,0]],[[-100,0],[-60,-90],[-20,0]],[[-20,0],[20,-90],[80,0]],[[80,0],[140,-90],[180,0]]]];function qs(){return Do(sr,Kl).scale(169.529)}var yu=[[[[-180,0],[-90,90],[0,0]],[[0,0],[90,90],[180,0]]],[[[-180,0],[-90,-90],[0,0]],[[0,0],[90,-90],[180,0]]]];function oc(){return Do(sr,yu).scale(169.529).rotate([20,0])}var Cf=[[[[-180,35],[-30,90],[0,35]],[[0,35],[30,90],[180,35]]],[[[-180,-10],[-102,-90],[-65,-10]],[[-65,-10],[5,-90],[77,-10]],[[77,-10],[103,-90],[180,-10]]]];function sc(){return Do(_a,Cf,st).rotate([-20,-55]).scale(164.263).center([0,-5.4036])}var Nh=[[[[-180,0],[-110,90],[-40,0]],[[-40,0],[0,90],[40,0]],[[40,0],[110,90],[180,0]]],[[[-180,0],[-110,-90],[-40,0]],[[-40,0],[0,-90],[40,0]],[[40,0],[110,-90],[180,0]]]];function kf(){return Do(Ft,Nh).scale(152.63).rotate([-20,0])}function fs(ve,be){return[3/g*ve*G(E*E/3-be*be),be]}fs.invert=function(ve,be){return[g/3*ve/G(E*E/3-be*be),be]};function nf(){return t.geoProjection(fs).scale(158.837)}function Vf(ve){function be(Re,Be){if(n(n(Be)-A)<p)return[0,Be<0?-2:2];var tt=x(Be),We=h((1+tt)/(1-tt),ve/2),it=.5*(We+1/We)+o(Re*=ve);return[2*x(Re)/it,(We-1/We)/it]}return be.invert=function(Re,Be){var tt=n(Be);if(n(tt-2)<p)return Re?null:[0,v(Be)*A];if(tt>2)return null;Re/=2,Be/=2;var We=Re*Re,it=Be*Be,Dt=2*Be/(1+We+it);return Dt=h((1+Dt)/(1-Dt),1/ve),[a(2*Re,1-We-it)/ve,O((Dt-1)/(Dt+1))]},be}function Jl(){var ve=.5,be=t.geoProjectionMutator(Vf),Re=be(ve);return Re.spacing=function(Be){return arguments.length?be(ve=+Be):ve},Re.scale(124.75)}var hl=E/k;function lc(ve,be){return[ve*(1+G(o(be)))/2,be/(o(be/2)*o(ve/6))]}lc.invert=function(ve,be){var Re=n(ve),Be=n(be),tt=p,We=A;Be<hl?We*=Be/hl:tt+=6*V(hl/Be);for(var it=0;it<25;it++){var Dt=x(We),Ht=G(o(We)),rr=x(We/2),dr=o(We/2),Sr=x(tt/6),Or=o(tt/6),jr=.5*tt*(1+Ht)-Re,ii=We/(dr*Or)-Be,Li=Ht?-.25*tt*Dt/Ht:0,un=.5*(1+Ht),sn=(1+.5*We*rr/dr)/(dr*Or),In=We/dr*(Sr/6)/(Or*Or),Kn=Li*In-sn*un,Aa=(jr*In-ii*un)/Kn,fa=(ii*Li-jr*sn)/Kn;if(We-=Aa,tt-=fa,n(Aa)<p&&n(fa)<p)break}return[ve<0?-tt:tt,be<0?-We:We]};function Fu(){return t.geoProjection(lc).scale(97.2672)}function Cs(ve,be){var Re=ve*ve,Be=be*be;return[ve*(.975534+Be*(-.119161+Re*-.0143059+Be*-.0547009)),be*(1.00384+Re*(.0802894+Be*-.02855+Re*199025e-9)+Be*(.0998909+Be*-.0491032))]}Cs.invert=function(ve,be){var Re=v(ve)*E,Be=be/2,tt=50;do{var We=Re*Re,it=Be*Be,Dt=Re*Be,Ht=Re*(.975534+it*(-.119161+We*-.0143059+it*-.0547009))-ve,rr=Be*(1.00384+We*(.0802894+it*-.02855+We*199025e-9)+it*(.0998909+it*-.0491032))-be,dr=.975534-it*(.119161+3*We*.0143059+it*.0547009),Sr=-Dt*(2*.119161+4*.0547009*it+2*.0143059*We),Or=Dt*(2*.0802894+4*199025e-9*We+2*-.02855*it),jr=1.00384+We*(.0802894+199025e-9*We)+it*(3*(.0998909-.02855*We)-5*.0491032*it),ii=Sr*Or-jr*dr,Li=(rr*Sr-Ht*jr)/ii,un=(Ht*Or-rr*dr)/ii;Re-=Li,Be-=un}while((n(Li)>p||n(un)>p)&&--tt>0);return tt&&[Re,Be]};function js(){return t.geoProjection(Cs).scale(139.98)}function Go(ve,be){return[x(ve)/o(be),b(be)*o(ve)]}Go.invert=function(ve,be){var Re=ve*ve,Be=be*be,tt=Be+1,We=Re+tt,it=ve?_*G((We-G(We*We-4*Re))/Re):1/G(tt);return[O(ve*it),v(be)*V(it)]};function gs(){return t.geoProjection(Go).scale(144.049).clipAngle(90-.001)}function uc(ve){var be=o(ve),Re=b(L+ve/2);function Be(tt,We){var it=We-ve,Dt=n(it)<p?tt*be:n(Dt=L+We/2)<p||n(n(Dt)-A)<p?0:tt*it/u(b(Dt)/Re);return[Dt,it]}return Be.invert=function(tt,We){var it,Dt=We+ve;return[n(We)<p?tt/be:n(it=L+Dt/2)<p||n(n(it)-A)<p?0:tt*u(b(it)/Re)/We,Dt]},Be}function xl(){return Ut(uc).parallel(40).scale(158.837)}function Gu(ve,be){return[ve,1.25*u(b(L+.4*be))]}Gu.invert=function(ve,be){return[ve,2.5*i(s(.8*be))-.625*E]};function Bs(){return t.geoProjection(Gu).scale(108.318)}function ad(ve){var be=ve.length-1;function Re(Be,tt){for(var We=o(tt),it=2/(1+We*o(Be)),Dt=it*We*x(Be),Ht=it*x(tt),rr=be,dr=ve[rr],Sr=dr[0],Or=dr[1],jr;--rr>=0;)dr=ve[rr],Sr=dr[0]+Dt*(jr=Sr)-Ht*Or,Or=dr[1]+Dt*Or+Ht*jr;return Sr=Dt*(jr=Sr)-Ht*Or,Or=Dt*Or+Ht*jr,[Sr,Or]}return Re.invert=function(Be,tt){var We=20,it=Be,Dt=tt;do{for(var Ht=be,rr=ve[Ht],dr=rr[0],Sr=rr[1],Or=0,jr=0,ii;--Ht>=0;)rr=ve[Ht],Or=dr+it*(ii=Or)-Dt*jr,jr=Sr+it*jr+Dt*ii,dr=rr[0]+it*(ii=dr)-Dt*Sr,Sr=rr[1]+it*Sr+Dt*ii;Or=dr+it*(ii=Or)-Dt*jr,jr=Sr+it*jr+Dt*ii,dr=it*(ii=dr)-Dt*Sr-Be,Sr=it*Sr+Dt*ii-tt;var Li=Or*Or+jr*jr,un,sn;it-=un=(dr*Or+Sr*jr)/Li,Dt-=sn=(Sr*Or-dr*jr)/Li}while(n(un)+n(sn)>p*p&&--We>0);if(We){var In=G(it*it+Dt*Dt),Kn=2*i(In*.5),Aa=x(Kn);return[a(it*Aa,In*o(Kn)),In?O(Dt*Aa/In):0]}},Re}var Po=[[.9972523,0],[.0052513,-.0041175],[.0074606,.0048125],[-.0153783,-.1968253],[.0636871,-.1408027],[.3660976,-.2937382]],od=[[.98879,0],[0,0],[-.050909,0],[0,0],[.075528,0]],Yo=[[.984299,0],[.0211642,.0037608],[-.1036018,-.0575102],[-.0329095,-.0320119],[.0499471,.1223335],[.026046,.0899805],[7388e-7,-.1435792],[.0075848,-.1334108],[-.0216473,.0776645],[-.0225161,.0853673]],Pa=[[.9245,0],[0,0],[.01943,0]],af=[[.721316,0],[0,0],[-.00881625,-.00617325]];function Hu(){return ql(Po,[152,-64]).scale(1400).center([-160.908,62.4864]).clipAngle(30).angle(7.8)}function bl(){return ql(od,[95,-38]).scale(1e3).clipAngle(55).center([-96.5563,38.8675])}function Gf(){return ql(Yo,[120,-45]).scale(359.513).clipAngle(55).center([-117.474,53.0628])}function Ic(){return ql(Pa,[-20,-18]).scale(209.091).center([20,16.7214]).clipAngle(82)}function mf(){return ql(af,[165,10]).scale(250).clipAngle(130).center([-165,-10])}function ql(ve,be){var Re=t.geoProjection(ad(ve)).rotate(be).clipAngle(90),Be=t.geoRotation(be),tt=Re.center;return delete Re.rotate,Re.center=function(We){return arguments.length?tt(Be(We)):Be.invert(tt())},Re}var _h=G(6),Qf=G(7);function yf(ve,be){var Re=O(7*x(be)/(3*_h));return[_h*ve*(2*o(2*Re/3)-1)/Qf,9*x(Re/3)/Qf]}yf.invert=function(ve,be){var Re=3*O(be*Qf/9);return[ve*Qf/(_h*(2*o(2*Re/3)-1)),O(x(Re)*3*_h/7)]};function Yc(){return t.geoProjection(yf).scale(164.859)}function eh(ve,be){for(var Re=(1+_)*x(be),Be=be,tt=0,We;tt<25&&(Be-=We=(x(Be/2)+x(Be)-Re)/(.5*o(Be/2)+o(Be)),!(n(We)<p));tt++);return[ve*(1+2*o(Be)/o(Be/2))/(3*k),2*G(3)*x(Be/2)/G(2+k)]}eh.invert=function(ve,be){var Re=be*G(2+k)/(2*G(3)),Be=2*O(Re);return[3*k*ve/(1+2*o(Be)/o(Be/2)),O((Re+x(Be))/(1+_))]};function th(){return t.geoProjection(eh).scale(188.209)}function ju(ve,be){for(var Re=G(6/(4+E)),Be=(1+E/4)*x(be),tt=be/2,We=0,it;We<25&&(tt-=it=(tt/2+x(tt)-Be)/(.5+o(tt)),!(n(it)<p));We++);return[Re*(.5+o(tt))*ve/1.5,Re*tt]}ju.invert=function(ve,be){var Re=G(6/(4+E)),Be=be/Re;return n(n(Be)-A)<p&&(Be=Be<0?-A:A),[1.5*ve/(Re*(.5+o(Be))),O((Be/2+x(Be))/(1+E/4))]};function Hf(){return t.geoProjection(ju).scale(166.518)}function cc(ve,be){var Re=be*be,Be=Re*Re,tt=Re*Be;return[ve*(.84719-.13063*Re+tt*tt*(-.04515+.05494*Re-.02326*Be+.00331*tt)),be*(1.01183+Be*Be*(-.02625+.01926*Re-.00396*Be))]}cc.invert=function(ve,be){var Re=be,Be=25,tt,We,it,Dt;do We=Re*Re,it=We*We,Re-=tt=(Re*(1.01183+it*it*(-.02625+.01926*We-.00396*it))-be)/(1.01183+it*it*(9*-.02625+11*.01926*We+13*-.00396*it));while(n(tt)>C&&--Be>0);return We=Re*Re,it=We*We,Dt=We*it,[ve/(.84719-.13063*We+Dt*Dt*(-.04515+.05494*We-.02326*it+.00331*Dt)),Re]};function of(){return t.geoProjection(cc).scale(175.295)}function Bl(ve,be){return[ve*(1+o(be))/2,2*(be-b(be/2))]}Bl.invert=function(ve,be){for(var Re=be/2,Be=0,tt=1/0;Be<10&&n(tt)>p;++Be){var We=o(be/2);be-=tt=(be-b(be/2)-Re)/(1-.5/(We*We))}return[2*ve/(1+o(be)),be]};function Kc(){return t.geoProjection(Bl).scale(152.63)}var Rc=[[[[-180,0],[-90,90],[0,0]],[[0,0],[90,90],[180,0]]],[[[-180,0],[-90,-90],[0,0]],[[0,0],[90,-90],[180,0]]]];function ms(){return Do(Ze(1/0),Rc).rotate([20,0]).scale(152.63)}function jf(ve,be){var Re=x(be),Be=o(be),tt=v(ve);if(ve===0||n(be)===A)return[0,be];if(be===0)return[ve,0];if(n(ve)===A)return[ve*Be,A*Re];var We=E/(2*ve)-2*ve/E,it=2*be/E,Dt=(1-it*it)/(Re-it),Ht=We*We,rr=Dt*Dt,dr=1+Ht/rr,Sr=1+rr/Ht,Or=(We*Re/Dt-We/2)/dr,jr=(rr*Re/Ht+Dt/2)/Sr,ii=Or*Or+Be*Be/dr,Li=jr*jr-(rr*Re*Re/Ht+Dt*Re-1)/Sr;return[A*(Or+G(ii)*tt),A*(jr+G(Li<0?0:Li)*v(-be*We)*tt)]}jf.invert=function(ve,be){ve/=A,be/=A;var Re=ve*ve,Be=be*be,tt=Re+Be,We=E*E;return[ve?(tt-1+G((1-tt)*(1-tt)+4*Re))/(2*ve)*A:0,Wt(function(it){return tt*(E*x(it)-2*it)*E+4*it*it*(be-x(it))+2*E*it-We*be},0)]};function Uh(){return t.geoProjection(jf).scale(127.267)}var rh=1.0148,sf=.23185,xh=-.14499,Mu=.02406,ih=rh,Ws=5*sf,Eu=7*xh,Dc=9*Mu,ks=1.790857183;function bc(ve,be){var Re=be*be;return[ve,be*(rh+Re*Re*(sf+Re*(xh+Mu*Re)))]}bc.invert=function(ve,be){be>ks?be=ks:be<-ks&&(be=-ks);var Re=be,Be;do{var tt=Re*Re;Re-=Be=(Re*(rh+tt*tt*(sf+tt*(xh+Mu*tt)))-be)/(ih+tt*tt*(Ws+tt*(Eu+Dc*tt)))}while(n(Be)>p);return[ve,Re]};function du(){return t.geoProjection(bc).scale(139.319)}function _u(ve,be){if(n(be)<p)return[ve,0];var Re=b(be),Be=ve*x(be);return[x(Be)/Re,be+(1-o(Be))/Re]}_u.invert=function(ve,be){if(n(be)<p)return[ve,0];var Re=ve*ve+be*be,Be=be*.5,tt=10,We;do{var it=b(Be),Dt=1/o(Be),Ht=Re-2*be*Be+Be*Be;Be-=We=(it*Ht+2*(Be-be))/(2+Ht*Dt*Dt+2*(Be-be)*it)}while(n(We)>p&&--tt>0);return it=b(Be),[(n(be)<n(Be+1/it)?O(ve*it):v(be)*v(ve)*(V(n(ve*it))+A))/x(Be),Be]};function al(){return t.geoProjection(_u).scale(103.74)}function nh(ve,be){var Re=Fc(ve[1],ve[0]),Be=Fc(be[1],be[0]),tt=bd(Re,Be),We=wc(Re)/wc(Be);return zu([1,0,ve[0][0],0,1,ve[0][1]],zu([We,0,0,0,We,0],zu([o(tt),x(tt),0,-x(tt),o(tt),0],[1,0,-be[0][0],0,1,-be[0][1]])))}function bh(ve){var be=1/(ve[0]*ve[4]-ve[1]*ve[3]);return[be*ve[4],-be*ve[1],be*(ve[1]*ve[5]-ve[2]*ve[4]),-be*ve[3],be*ve[0],be*(ve[2]*ve[3]-ve[0]*ve[5])]}function zu(ve,be){return[ve[0]*be[0]+ve[1]*be[3],ve[0]*be[1]+ve[1]*be[4],ve[0]*be[2]+ve[1]*be[5]+ve[2],ve[3]*be[0]+ve[4]*be[3],ve[3]*be[1]+ve[4]*be[4],ve[3]*be[2]+ve[4]*be[5]+ve[5]]}function Fc(ve,be){return[ve[0]-be[0],ve[1]-be[1]]}function wc(ve){return G(ve[0]*ve[0]+ve[1]*ve[1])}function bd(ve,be){return a(ve[0]*be[1]-ve[1]*be[0],ve[0]*be[0]+ve[1]*be[1])}function _f(ve,be,Re){Be(ve,{transform:null});function Be(rr,dr){if(rr.edges=jl(rr.face),dr.face){var Sr=rr.shared=xf(rr.face,dr.face),Or=nh(Sr.map(dr.project),Sr.map(rr.project));rr.transform=dr.transform?zu(dr.transform,Or):Or;for(var 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Dt=t.geoProjection(tt),Ht=Dt.stream;return Dt.stream=function(rr){var dr=Dt.rotate(),Sr=Ht(rr),Or=(Dt.rotate([0,0]),Ht(rr));return Dt.rotate(dr),Sr.sphere=function(){Or.polygonStart(),Or.lineStart(),Lf(Or,ve),Or.lineEnd(),Or.polygonEnd()},Sr},Dt.angle(Re==null?-30:Re*P)}function Lf(ve,be,Re){var Be,tt=be.edges,We=tt.length,it,Dt={type:\"MultiPoint\",coordinates:be.face},Ht=be.face.filter(function(Li){return n(Li[1])!==90}),rr=t.geoBounds({type:\"MultiPoint\",coordinates:Ht}),dr=!1,Sr=-1,Or=rr[1][0]-rr[0][0],jr=Or===180||Or===360?[(rr[0][0]+rr[1][0])/2,(rr[0][1]+rr[1][1])/2]:t.geoCentroid(Dt);if(Re)for(;++Sr<We&&tt[Sr]!==Re;);++Sr;for(var ii=0;ii<We;++ii)it=tt[(ii+Sr)%We],Array.isArray(it)?(dr||(ve.point((Be=t.geoInterpolate(it[0],jr)(p))[0],Be[1]),dr=!0),ve.point((Be=t.geoInterpolate(it[1],jr)(p))[0],Be[1])):(dr=!1,it!==Re&&Lf(ve,it,be))}function Ou(ve,be){return ve&&be&&ve[0]===be[0]&&ve[1]===be[1]}function xf(ve,be){for(var Re,Be,tt=ve.length,We=null,it=0;it<tt;++it){Re=ve[it];for(var Dt=be.length;--Dt>=0;)if(Be=be[Dt],Re[0]===Be[0]&&Re[1]===Be[1]){if(We)return[We,Re];We=Re}}}function jl(ve){for(var be=ve.length,Re=[],Be=ve[be-1],tt=0;tt<be;++tt)Re.push([Be,Be=ve[tt]]);return Re}function lf(ve){return ve.project.invert||ve.children&&ve.children.some(lf)}var Vh=[[0,90],[-90,0],[0,0],[90,0],[180,0],[0,-90]],Pf=[[0,2,1],[0,3,2],[5,1,2],[5,2,3],[0,1,4],[0,4,3],[5,4,1],[5,3,4]].map(function(ve){return ve.map(function(be){return Vh[be]})});function Ls(ve){ve=ve||function(Re){var Be=t.geoCentroid({type:\"MultiPoint\",coordinates:Re});return t.geoGnomonic().scale(1).translate([0,0]).rotate([-Be[0],-Be[1]])};var be=Pf.map(function(Re){return{face:Re,project:ve(Re)}});return[-1,0,0,1,0,1,4,5].forEach(function(Re,Be){var tt=be[Re];tt&&(tt.children||(tt.children=[])).push(be[Be])}),_f(be[0],function(Re,Be){return 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tt[bf(Sr[0],rr)<0?8+3*dr:bf(Sr[1],rr)<0?8+3*dr+1:bf(Sr[2],rr)<0?8+3*dr+2:dr]}return _f(tt[0],We).angle(-30).scale(110.625).center([0,45])}function bf(ve,be){for(var Re=0,Be=ve.length,tt=0;Re<Be;++Re)tt+=ve[Re]*be[Re];return tt}function zc(ve,be){return[ve[1]*be[2]-ve[2]*be[1],ve[2]*be[0]-ve[0]*be[2],ve[0]*be[1]-ve[1]*be[0]]}function Wu(ve){return[a(ve[1],ve[0])*P,O(c(-1,f(1,ve[2])))*P]}function If(ve){var be=ve[0]*T,Re=ve[1]*T,Be=o(Re);return[Be*o(be),Be*x(be),x(Re)]}function Xu(){}function uf(ve){if((Re=ve.length)<4)return!1;for(var be=0,Re,Be=ve[Re-1][1]*ve[0][0]-ve[Re-1][0]*ve[0][1];++be<Re;)Be+=ve[be-1][1]*ve[be][0]-ve[be-1][0]*ve[be][1];return Be<=0}function Xf(ve,be){for(var Re=be[0],Be=be[1],tt=!1,We=0,it=ve.length,Dt=it-1;We<it;Dt=We++){var Ht=ve[We],rr=Ht[0],dr=Ht[1],Sr=ve[Dt],Or=Sr[0],jr=Sr[1];dr>Be^jr>Be&&Re<(Or-rr)*(Be-dr)/(jr-dr)+rr&&(tt=!tt)}return tt}function Wl(ve,be){var Re=be.stream,Be;if(!Re)throw new Error(\"invalid 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ve=wl.length?wl.length<2?{type:\"Point\",coordinates:wl[0]}:{type:\"MultiPoint\",coordinates:wl}:null;return wl=[],ve}},cf={lineStart:Xu,point:function(ve,be){wl.push([ve,be])},lineEnd:function(){wl.length&&(pu.push(wl),wl=[])},result:function(){var ve=pu.length?pu.length<2?{type:\"LineString\",coordinates:pu[0]}:{type:\"MultiLineString\",coordinates:pu}:null;return pu=[],ve}},fc={polygonStart:Xu,lineStart:Xu,point:function(ve,be){wl.push([ve,be])},lineEnd:function(){var ve=wl.length;if(ve){do wl.push(wl[0].slice());while(++ve<4);pu.push(wl),wl=[]}},polygonEnd:Xu,result:function(){if(!pu.length)return null;var ve=[],be=[];return pu.forEach(function(Re){uf(Re)?ve.push([Re]):be.push(Re)}),be.forEach(function(Re){var Be=Re[0];ve.some(function(tt){if(Xf(tt[0],Be))return tt.push(Re),!0})||ve.push([Re])}),pu=[],ve.length?ve.length>1?{type:\"MultiPolygon\",coordinates:ve}:{type:\"Polygon\",coordinates:ve[0]}:null}};function Bc(ve){var be=ve(A,0)[0]-ve(-A,0)[0];function Re(Be,tt){var We=n(Be)<A,it=ve(We?Be:Be>0?Be-E:Be+E,tt),Dt=(it[0]-it[1])*_,Ht=(it[0]+it[1])*_;if(We)return[Dt,Ht];var rr=be*_,dr=Dt>0^Ht>0?-1:1;return[dr*Dt-v(Ht)*rr,dr*Ht-v(Dt)*rr]}return ve.invert&&(Re.invert=function(Be,tt){var We=(Be+tt)*_,it=(tt-Be)*_,Dt=n(We)<.5*be&&n(it)<.5*be;if(!Dt){var Ht=be*_,rr=We>0^it>0?-1:1,dr=-rr*Be+(it>0?1:-1)*Ht,Sr=-rr*tt+(We>0?1:-1)*Ht;We=(-dr-Sr)*_,it=(dr-Sr)*_}var Or=ve.invert(We,it);return Dt||(Or[0]+=We>0?E:-E),Or}),t.geoProjection(Re).rotate([-90,-90,45]).clipAngle(180-.001)}function At(){return Bc(ki).scale(176.423)}function Xt(){return Bc(Lo).scale(111.48)}function kr(ve,be){if(!(0<=(be=+be)&&be<=20))throw new Error(\"invalid digits\");function Re(rr){var dr=rr.length,Sr=2,Or=new Array(dr);for(Or[0]=+rr[0].toFixed(be),Or[1]=+rr[1].toFixed(be);Sr<dr;)Or[Sr]=rr[Sr],++Sr;return Or}function Be(rr){return rr.map(Re)}function tt(rr){for(var dr=Re(rr[0]),Sr=[dr],Or=1;Or<rr.length;Or++){var jr=Re(rr[Or]);(jr.length>2||jr[0]!=dr[0]||jr[1]!=dr[1])&&(Sr.push(jr),dr=jr)}return Sr.length===1&&rr.length>1&&Sr.push(Re(rr[rr.length-1])),Sr}function We(rr){return rr.map(tt)}function it(rr){if(rr==null)return rr;var dr;switch(rr.type){case\"GeometryCollection\":dr={type:\"GeometryCollection\",geometries:rr.geometries.map(it)};break;case\"Point\":dr={type:\"Point\",coordinates:Re(rr.coordinates)};break;case\"MultiPoint\":dr={type:rr.type,coordinates:Be(rr.coordinates)};break;case\"LineString\":dr={type:rr.type,coordinates:tt(rr.coordinates)};break;case\"MultiLineString\":case\"Polygon\":dr={type:rr.type,coordinates:We(rr.coordinates)};break;case\"MultiPolygon\":dr={type:\"MultiPolygon\",coordinates:rr.coordinates.map(We)};break;default:return rr}return rr.bbox!=null&&(dr.bbox=rr.bbox),dr}function Dt(rr){var dr={type:\"Feature\",properties:rr.properties,geometry:it(rr.geometry)};return rr.id!=null&&(dr.id=rr.id),rr.bbox!=null&&(dr.bbox=rr.bbox),dr}if(ve!=null)switch(ve.type){case\"Feature\":return Dt(ve);case\"FeatureCollection\":{var Ht={type:\"FeatureCollection\",features:ve.features.map(Dt)};return ve.bbox!=null&&(Ht.bbox=ve.bbox),Ht}default:return it(ve)}return ve}function Ar(ve){var be=x(ve);function Re(Be,tt){var We=be?b(Be*be/2)/be:Be/2;if(!tt)return[2*We,-ve];var it=2*i(We*x(tt)),Dt=1/b(tt);return[x(it)*Dt,tt+(1-o(it))*Dt-ve]}return Re.invert=function(Be,tt){if(n(tt+=ve)<p)return[be?2*i(be*Be/2)/be:Be,0];var We=Be*Be+tt*tt,it=0,Dt=10,Ht;do{var rr=b(it),dr=1/o(it),Sr=We-2*tt*it+it*it;it-=Ht=(rr*Sr+2*(it-tt))/(2+Sr*dr*dr+2*(it-tt)*rr)}while(n(Ht)>p&&--Dt>0);var Or=Be*(rr=b(it)),jr=b(n(tt)<n(it+1/rr)?O(Or)*.5:V(Or)*.5+E/4)/x(it);return[be?2*i(be*jr)/be:2*jr,it]},Re}function Kr(){return Ut(Ar).scale(131.215)}var Ei=[[.9986,-.062],[1,0],[.9986,.062],[.9954,.124],[.99,.186],[.9822,.248],[.973,.31],[.96,.372],[.9427,.434],[.9216,.4958],[.8962,.5571],[.8679,.6176],[.835,.6769],[.7986,.7346],[.7597,.7903],[.7186,.8435],[.6732,.8936],[.6213,.9394],[.5722,.9761],[.5322,1]];Ei.forEach(function(ve){ve[1]*=1.0144});function Wi(ve,be){var Re=f(18,n(be)*36/E),Be=l(Re),tt=Re-Be,We=(Sr=Ei[Be])[0],it=Sr[1],Dt=(Sr=Ei[++Be])[0],Ht=Sr[1],rr=(Sr=Ei[f(19,++Be)])[0],dr=Sr[1],Sr;return[ve*(Dt+tt*(rr-We)/2+tt*tt*(rr-2*Dt+We)/2),(be>0?A:-A)*(Ht+tt*(dr-it)/2+tt*tt*(dr-2*Ht+it)/2)]}Wi.invert=function(ve,be){var Re=be/A,Be=Re*90,tt=f(18,n(Be/5)),We=c(0,l(tt));do{var it=Ei[We][1],Dt=Ei[We+1][1],Ht=Ei[f(19,We+2)][1],rr=Ht-it,dr=Ht-2*Dt+it,Sr=2*(n(Re)-Dt)/rr,Or=dr/rr,jr=Sr*(1-Or*Sr*(1-2*Or*Sr));if(jr>=0||We===1){Be=(be>=0?5:-5)*(jr+tt);var ii=50,Li;do 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rr=Ht*Ht,dr=o(G(rr+(Or=Dt+be)*Or)),Sr=o(G(rr+(Or=Dt+Re)*Or)),Or,jr;return[a(jr=dr-Sr,Or=(dr+Sr)*tt),(Ht<0?-1:1)*V(G(Or*Or+jr*jr)*We)]},it}function Nc(){return gu([-158,21.5],[-77,39]).clipAngle(130).scale(122.571)}function gu(ve,be){return _s(Yu,ve,be)}function Uc(ve,be){if(n(be)<p)return[ve,0];var Re=n(be/A),Be=O(Re);if(n(ve)<p||n(n(be)-A)<p)return[0,v(be)*E*b(Be/2)];var tt=o(Be),We=n(E/ve-ve/E)/2,it=We*We,Dt=tt/(Re+tt-1),Ht=Dt*(2/Re-1),rr=Ht*Ht,dr=rr+it,Sr=Dt-rr,Or=it+Dt;return[v(ve)*E*(We*Sr+G(it*Sr*Sr-dr*(Dt*Dt-rr)))/dr,v(be)*E*(Ht*Or-We*G((it+1)*dr-Or*Or))/dr]}Uc.invert=function(ve,be){if(n(be)<p)return[ve,0];if(n(ve)<p)return[0,A*x(2*i(be/E))];var Re=(ve/=E)*ve,Be=(be/=E)*be,tt=Re+Be,We=tt*tt,it=-n(be)*(1+tt),Dt=it-2*Be+Re,Ht=-2*it+1+2*Be+We,rr=Be/Ht+(2*Dt*Dt*Dt/(Ht*Ht*Ht)-9*it*Dt/(Ht*Ht))/27,dr=(it-Dt*Dt/(3*Ht))/Ht,Sr=2*G(-dr/3),Or=V(3*rr/(dr*Sr))/3;return[E*(tt-1+G(1+2*(Re-Be)+We))/(2*ve),v(be)*E*(-Sr*o(Or+E/3)-Dt/(3*Ht))]};function xu(){return t.geoProjection(Uc).scale(79.4183)}function Ac(ve,be){if(n(be)<p)return[ve,0];var Re=n(be/A),Be=O(Re);if(n(ve)<p||n(n(be)-A)<p)return[0,v(be)*E*b(Be/2)];var tt=o(Be),We=n(E/ve-ve/E)/2,it=We*We,Dt=tt*(G(1+it)-We*tt)/(1+it*Re*Re);return[v(ve)*E*Dt,v(be)*E*G(1-Dt*(2*We+Dt))]}Ac.invert=function(ve,be){if(!ve)return[0,A*x(2*i(be/E))];var Re=n(ve/E),Be=(1-Re*Re-(be/=E)*be)/(2*Re),tt=Be*Be,We=G(tt+1);return[v(ve)*E*(We-Be),v(be)*A*x(2*a(G((1-2*Be*Re)*(Be+We)-Re),G(We+Be+Re)))]};function Ua(){return t.geoProjection(Ac).scale(79.4183)}function oo(ve,be){if(n(be)<p)return[ve,0];var Re=be/A,Be=O(Re);if(n(ve)<p||n(n(be)-A)<p)return[0,E*b(Be/2)];var tt=(E/ve-ve/E)/2,We=Re/(1+o(Be));return[E*(v(ve)*G(tt*tt+1-We*We)-tt),E*We]}oo.invert=function(ve,be){if(!be)return[ve,0];var Re=be/E,Be=(E*E*(1-Re*Re)-ve*ve)/(2*E*ve);return[ve?E*(v(ve)*G(Be*Be+1)-Be):0,A*x(2*i(Re))]};function Vc(){return t.geoProjection(oo).scale(79.4183)}function hc(ve,be){if(!be)return[ve,0];var 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bDe=ye((_gr,xDe)=>{\"use strict\";var id=Oa(),PZ=Dr(),YFt=qa(),ZA=Math.PI/180,H2=180/Math.PI,RZ={cursor:\"pointer\"},DZ={cursor:\"auto\"};function KFt(e,t){var r=e.projection,n;return t._isScoped?n=JFt:t._isClipped?n=QFt:n=$Ft,n(e,r)}xDe.exports=KFt;function FZ(e,t){return id.behavior.zoom().translate(t.translate()).scale(t.scale())}function zZ(e,t,r){var n=e.id,i=e.graphDiv,a=i.layout,o=a[n],s=i._fullLayout,l=s[n],u={},c={};function f(h,d){u[n+\".\"+h]=PZ.nestedProperty(o,h).get(),YFt.call(\"_storeDirectGUIEdit\",a,s._preGUI,u);var v=PZ.nestedProperty(l,h);v.get()!==d&&(v.set(d),PZ.nestedProperty(o,h).set(d),c[n+\".\"+h]=d)}r(f),f(\"projection.scale\",t.scale()/e.fitScale),f(\"fitbounds\",!1),i.emit(\"plotly_relayout\",c)}function JFt(e,t){var r=FZ(e,t);function n(){id.select(this).style(RZ)}function i(){t.scale(id.event.scale).translate(id.event.translate),e.render(!0);var 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t1=Oa(),BZ=LZ(),lzt=BZ.geoPath,uzt=BZ.geoDistance,czt=gDe(),fzt=qa(),oC=Dr(),hzt=oC.strTranslate,CF=Ca(),aC=So(),wDe=vf(),dzt=Mc(),qZ=ho(),TDe=wg().getAutoRange,OZ=gv(),vzt=zf().prepSelect,pzt=zf().clearOutline,gzt=zf().selectOnClick,mzt=bDe(),cp=eC(),yzt=nx(),SDe=dF(),_zt=pZ().feature;function MDe(e){this.id=e.id,this.graphDiv=e.graphDiv,this.container=e.container,this.topojsonURL=e.topojsonURL,this.isStatic=e.staticPlot,this.topojsonName=null,this.topojson=null,this.projection=null,this.scope=null,this.viewInitial=null,this.fitScale=null,this.bounds=null,this.midPt=null,this.hasChoropleth=!1,this.traceHash={},this.layers={},this.basePaths={},this.dataPaths={},this.dataPoints={},this.clipDef=null,this.clipRect=null,this.bgRect=null,this.makeFramework()}var $g=MDe.prototype;EDe.exports=function(t){return new MDe(t)};$g.plot=function(e,t,r,n){var i=this;if(n)return i.update(e,t,!0);i._geoCalcData=e,i._fullLayout=t;var a=t[this.id],o=[],s=!1;for(var l in 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r=this.graphDiv,n=t[this.id],i=t._size,a=n.domain,o=n.projection,s=n.lonaxis,l=n.lataxis,u=s._ax,c=l._ax,f=this.projection=xzt(n),h=[[i.l+i.w*a.x[0],i.t+i.h*(1-a.y[1])],[i.l+i.w*a.x[1],i.t+i.h*(1-a.y[0])]],d=n.center||{},v=o.rotation||{},x=s.range||[],b=l.range||[];if(n.fitbounds){u._length=h[1][0]-h[0][0],c._length=h[1][1]-h[0][1],u.range=TDe(r,u),c.range=TDe(r,c);var p=(u.range[0]+u.range[1])/2,C=(c.range[0]+c.range[1])/2;if(n._isScoped)d={lon:p,lat:C};else if(n._isClipped){d={lon:p,lat:C},v={lon:p,lat:C,roll:v.roll};var E=o.type,A=cp.lonaxisSpan[E]/2||180,L=cp.lataxisSpan[E]/2||90;x=[p-A,p+A],b=[C-L,C+L]}else d={lon:p,lat:C},v={lon:p,lat:v.lat,roll:v.roll}}f.center([d.lon-v.lon,d.lat-v.lat]).rotate([-v.lon,-v.lat,v.roll]).parallels(o.parallels);var _=ADe(x,b);f.fitExtent(h,_);var k=this.bounds=f.getBounds(_),M=this.fitScale=f.scale(),g=f.translate();if(n.fitbounds){var 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DDe=ye((wgr,RDe)=>{\"use strict\";var kF=Dr(),Mzt=k_(),Ezt=Id().getSubplotData,LF=eC(),Czt=NZ(),IDe=LF.axesNames;RDe.exports=function(t,r,n){Mzt(t,r,n,{type:\"geo\",attributes:Czt,handleDefaults:kzt,fullData:n,partition:\"y\"})};function kzt(e,t,r,n){var i=Ezt(n.fullData,\"geo\",n.id),a=i.map(function(oe){return oe.index}),o=r(\"resolution\"),s=r(\"scope\"),l=LF.scopeDefaults[s],u=r(\"projection.type\",l.projType),c=t._isAlbersUsa=u===\"albers usa\";c&&(s=t.scope=\"usa\");var f=t._isScoped=s!==\"world\",h=t._isSatellite=u===\"satellite\",d=t._isConic=u.indexOf(\"conic\")!==-1||u===\"albers\",v=t._isClipped=!!LF.lonaxisSpan[u];if(e.visible===!1){var x=kF.extendDeep({},t._template);x.showcoastlines=!1,x.showcountries=!1,x.showframe=!1,x.showlakes=!1,x.showland=!1,x.showocean=!1,x.showrivers=!1,x.showsubunits=!1,x.lonaxis&&(x.lonaxis.showgrid=!1),x.lataxis&&(x.lataxis.showgrid=!1),t._template=x}for(var b=r(\"visible\"),p,C=0;C<IDe.length;C++){var 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H,N;if(c?(H=-96.6,N=38.7):(H=f?V:G,N=(T[0]+T[1])/2),r(\"center.lon\",H),r(\"center.lat\",N),h&&(r(\"projection.tilt\"),r(\"projection.distance\")),d){var j=l.projParallels||[0,60];r(\"projection.parallels\",j)}r(\"projection.scale\"),p=r(\"showland\",b?void 0:!1),p&&r(\"landcolor\"),p=r(\"showlakes\",b?void 0:!1),p&&r(\"lakecolor\"),p=r(\"showrivers\",b?void 0:!1),p&&(r(\"rivercolor\"),r(\"riverwidth\")),p=r(\"showcountries\",f&&s!==\"usa\"&&b),p&&(r(\"countrycolor\"),r(\"countrywidth\")),(s===\"usa\"||s===\"north america\"&&o===50)&&(r(\"showsubunits\",b),r(\"subunitcolor\"),r(\"subunitwidth\")),f||(p=r(\"showframe\",b),p&&(r(\"framecolor\"),r(\"framewidth\"))),r(\"bgcolor\");var re=r(\"fitbounds\");re&&(delete t.projection.scale,f?(delete t.center.lon,delete t.center.lat):v?(delete t.center.lon,delete t.center.lat,delete t.projection.rotation.lon,delete t.projection.rotation.lat,delete t.lonaxis.range,delete t.lataxis.range):(delete t.center.lon,delete t.center.lat,delete 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zzt=Qo().hovertemplateAttrs,ox=G2(),Ozt=Tu(),VDe=Vl(),qzt=Eh().defaultLine,ax=Ao().extendFlat,GDe=ox.marker.line;HDe.exports=ax({locations:{valType:\"data_array\",editType:\"calc\"},locationmode:ox.locationmode,z:{valType:\"data_array\",editType:\"calc\"},geojson:ax({},ox.geojson,{}),featureidkey:ox.featureidkey,text:ax({},ox.text,{}),hovertext:ax({},ox.hovertext,{}),marker:{line:{color:ax({},GDe.color,{dflt:qzt}),width:ax({},GDe.width,{dflt:1}),editType:\"calc\"},opacity:{valType:\"number\",arrayOk:!0,min:0,max:1,dflt:1,editType:\"style\"},editType:\"calc\"},selected:{marker:{opacity:ox.selected.marker.opacity,editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:ox.unselected.marker.opacity,editType:\"plot\"},editType:\"plot\"},hoverinfo:ax({},VDe.hoverinfo,{editType:\"calc\",flags:[\"location\",\"z\",\"text\",\"name\"]}),hovertemplate:zzt(),showlegend:ax({},VDe.showlegend,{dflt:!1})},Ozt(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))});var WDe=ye((Egr,jDe)=>{\"use 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s=n.count,l=n.fill2d,u=n.error2d,c=n.line2d,f=n.scatter2d,h=n.glText,d=n.select2d,v=n.selectBatch,x=n.unselectBatch,b=0;b<s;b++){if(l&&n.fillOrder[b]&&l.draw(n.fillOrder[b]),c&&n.lineOptions[b]&&c.draw(b),u&&(n.errorXOptions[b]&&u.draw(b),n.errorYOptions[b]&&u.draw(b+s)),f&&n.markerOptions[b])if(x[b].length){var p=XF.repeat([],n.count);p[b]=x[b],f.draw(p)}else v[b].length||f.draw(b);h[b]&&n.textOptions[b]&&h[b].render()}d&&d.draw(v),n.dirty=!1},n.destroy=function(){n.fill2d&&n.fill2d.destroy&&n.fill2d.destroy(),n.scatter2d&&n.scatter2d.destroy&&n.scatter2d.destroy(),n.error2d&&n.error2d.destroy&&n.error2d.destroy(),n.line2d&&n.line2d.destroy&&n.line2d.destroy(),n.select2d&&n.select2d.destroy&&n.select2d.destroy(),n.glText&&n.glText.forEach(function(s){s.destroy&&s.destroy()}),n.lineOptions=null,n.fillOptions=null,n.markerOptions=null,n.markerSelectedOptions=null,n.markerUnselectedOptions=null,n.errorXOptions=null,n.errorYOptions=null,n.textOptions=null,n.textSelectedOptions=null,n.textUnselectedOptions=null,n.selectBatch=null,n.unselectBatch=null,r._scene=null}),n.dirty||XF.extendFlat(n,i),n}});var Ize=ye((lmr,Pze)=>{\"use strict\";var T9t=NF(),n5=Dr(),Eze=hf(),A9t=wg().findExtremes,Cze=Rg(),aY=O0(),S9t=aY.calcMarkerSize,M9t=aY.calcAxisExpansion,E9t=aY.setFirstScatter,C9t=F0(),a5=Y2(),k9t=nY(),kze=hs().BADNUM,L9t=sx().TOO_MANY_POINTS;Pze.exports=function(t,r){var n=t._fullLayout,i=r._xA=Eze.getFromId(t,r.xaxis,\"x\"),a=r._yA=Eze.getFromId(t,r.yaxis,\"y\"),o=n._plots[r.xaxis+r.yaxis],s=r._length,l=s>=L9t,u=s*2,c={},f,h=i.makeCalcdata(r,\"x\"),d=a.makeCalcdata(r,\"y\"),v=Cze(r,i,\"x\",h),x=Cze(r,a,\"y\",d),b=v.vals,p=x.vals;r._x=b,r._y=p,r.xperiodalignment&&(r._origX=h,r._xStarts=v.starts,r._xEnds=v.ends),r.yperiodalignment&&(r._origY=d,r._yStarts=x.starts,r._yEnds=x.ends);var C=new Array(u),E=new Array(s);for(f=0;f<s;f++)C[f*2]=b[f]===kze?NaN:b[f],C[f*2+1]=p[f]===kze?NaN:p[f],E[f]=f;if(i.type===\"log\")for(f=0;f<u;f+=2)C[f]=i.c2l(C[f]);if(a.type===\"log\")for(f=1;f<u;f+=2)C[f]=a.c2l(C[f]);l&&i.type!==\"log\"&&a.type!==\"log\"?c.tree=T9t(C):c.ids=E,C9t(t,r);var A=P9t(t,o,r,C,b,p),L=k9t(t,o);E9t(n,r);var _;return l?A.marker&&(_=A.marker.sizeAvg||Math.max(A.marker.size,3)):_=S9t(r,s),M9t(t,r,i,a,b,p,_),A.errorX&&Lze(r,i,A.errorX),A.errorY&&Lze(r,a,A.errorY),A.fill&&!L.fill2d&&(L.fill2d=!0),A.marker&&!L.scatter2d&&(L.scatter2d=!0),A.line&&!L.line2d&&(L.line2d=!0),(A.errorX||A.errorY)&&!L.error2d&&(L.error2d=!0),A.text&&!L.glText&&(L.glText=!0),A.marker&&(A.marker.snap=s),L.lineOptions.push(A.line),L.errorXOptions.push(A.errorX),L.errorYOptions.push(A.errorY),L.fillOptions.push(A.fill),L.markerOptions.push(A.marker),L.markerSelectedOptions.push(A.markerSel),L.markerUnselectedOptions.push(A.markerUnsel),L.textOptions.push(A.text),L.textSelectedOptions.push(A.textSel),L.textUnselectedOptions.push(A.textUnsel),L.selectBatch.push([]),L.unselectBatch.push([]),c._scene=L,c.index=L.count,c.x=b,c.y=p,c.positions=C,L.count++,[{x:!1,y:!1,t:c,trace:r}]};function Lze(e,t,r){var n=e._extremes[t._id],i=A9t(t,r._bnds,{padded:!0});n.min=n.min.concat(i.min),n.max=n.max.concat(i.max)}function P9t(e,t,r,n,i,a){var o=a5.style(e,r);if(o.marker&&(o.marker.positions=n),o.line&&n.length>1&&n5.extendFlat(o.line,a5.linePositions(e,r,n)),o.errorX||o.errorY){var s=a5.errorBarPositions(e,r,n,i,a);o.errorX&&n5.extendFlat(o.errorX,s.x),o.errorY&&n5.extendFlat(o.errorY,s.y)}return o.text&&(n5.extendFlat(o.text,{positions:n},a5.textPosition(e,r,o.text,o.marker)),n5.extendFlat(o.textSel,{positions:n},a5.textPosition(e,r,o.text,o.markerSel)),n5.extendFlat(o.textUnsel,{positions:n},a5.textPosition(e,r,o.text,o.markerUnsel))),o}});var oY=ye((umr,Dze)=>{\"use strict\";var Rze=Dr(),I9t=Ca(),R9t=U1().DESELECTDIM;function D9t(e){var t=e[0],r=t.trace,n=t.t,i=n._scene,a=n.index,o=i.selectBatch[a],s=i.unselectBatch[a],l=i.textOptions[a],u=i.textSelectedOptions[a]||{},c=i.textUnselectedOptions[a]||{},f=Rze.extendFlat({},l),h,d;if(o.length||s.length){var v=u.color,x=c.color,b=l.color,p=Rze.isArrayOrTypedArray(b);for(f.color=new Array(r._length),h=0;h<o.length;h++)d=o[h],f.color[d]=v||(p?b[d]:b);for(h=0;h<s.length;h++){d=s[h];var C=p?b[d]:b;f.color[d]=x||(v?C:I9t.addOpacity(C,R9t))}}i.glText[a].update(f)}Dze.exports={styleTextSelection:D9t}});var sY=ye((cmr,zze)=>{\"use strict\";var Fze=Ru(),F9t=oY().styleTextSelection;zze.exports=function(t,r){var n=t.cd,i=t.xaxis,a=t.yaxis,o=[],s=n[0].trace,l=n[0].t,u=s._length,c=l.x,f=l.y,h=l._scene,d=l.index;if(!h)return o;var v=Fze.hasText(s),x=Fze.hasMarkers(s),b=!x&&!v;if(s.visible!==!0||b)return o;var p=[],C=[];if(r!==!1&&!r.degenerate)for(var E=0;E<u;E++)r.contains([l.xpx[E],l.ypx[E]],!1,E,t)?(p.push(E),o.push({pointNumber:E,x:i.c2d(c[E]),y:a.c2d(f[E])})):C.push(E);if(x){var A=h.scatter2d;if(!p.length&&!C.length){var L=new Array(h.count);L[d]=h.markerOptions[d],A.update.apply(A,L)}else if(!h.selectBatch[d].length&&!h.unselectBatch[d].length){var _=new Array(h.count);_[d]=h.markerUnselectedOptions[d],A.update.apply(A,_)}}return h.selectBatch[d]=p,h.unselectBatch[d]=C,v&&F9t(n),o}});var qze=ye((fmr,Oze)=>{\"use strict\";var z9t=OF();Oze.exports={moduleType:\"trace\",name:\"scattergl\",basePlotModule:vh(),categories:[\"gl\",\"regl\",\"cartesian\",\"symbols\",\"errorBarsOK\",\"showLegend\",\"scatter-like\"],attributes:sC(),supplyDefaults:_Fe(),crossTraceDefaults:rU(),colorbar:$d(),formatLabels:bFe(),calc:Ize(),hoverPoints:z9t.hoverPoints,selectPoints:sY(),meta:{}}});var Nze=ye((hmr,YF)=>{\"use strict\";var ZF=XE();YF.exports=Bze;YF.exports.to=Bze;YF.exports.from=O9t;function Bze(e,t){t==null&&(t=!0);var r=e[0],n=e[1],i=e[2],a=e[3];a==null&&(a=t?1:255),t&&(r*=255,n*=255,i*=255,a*=255),r=ZF(r,0,255)&255,n=ZF(n,0,255)&255,i=ZF(i,0,255)&255,a=ZF(a,0,255)&255;var o=r*16777216+(n<<16)+(i<<8)+a;return o}function O9t(e,t){e=+e;var r=e>>>24,n=(e&16711680)>>>16,i=(e&65280)>>>8,a=e&255;return t===!1?[r,n,i,a]:[r/255,n/255,i/255,a/255]}});var Fh=ye((dmr,Vze)=>{\"use strict\";var 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       "In order to be iterable, non-array objects must have a [Symbol.iterator]() method.`)}function K9t(){throw new TypeError(`Invalid attempt to destructure non-iterable instance.\n",
       "In order to be iterable, non-array objects must have a [Symbol.iterator]() method.`)}var J9t=$_(),$9t=j2(),Q9t=Nze(),eOt=NF(),K2=Fh(),JF=Hze(),tOt=Xm(),rOt=lY(),iOt=W2(),Yze=Xze(),$F=KF(),nOt=e5(),aOt=nv;function nv(e,t){var r=this;if(!(this instanceof nv))return new nv(e,t);typeof e==\"function\"?(t||(t={}),t.regl=e):(t=e,e=null),t&&t.length&&(t.positions=t),e=t.regl;var n=e._gl,i,a=[],o={},s=[],l=[null],u=[null],c=255,f=100;this.tooManyColors=Yze,i=e.texture({data:new Uint8Array(c*4),width:c,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),K2(this,{regl:e,gl:n,groups:s,markerCache:u,markerTextures:l,palette:a,paletteIds:o,paletteTexture:i,maxColors:c,maxSize:f,canvas:n.canvas}),this.update(t);var h={uniforms:{constPointSize:!!t.constPointSize,opacity:e.prop(\"opacity\"),paletteSize:function(b,p){return[r.tooManyColors?0:c,i.height]},pixelRatio:e.context(\"pixelRatio\"),scale:e.prop(\"scale\"),scaleFract:e.prop(\"scaleFract\"),translate:e.prop(\"translate\"),translateFract:e.prop(\"translateFract\"),markerTexture:e.prop(\"markerTexture\"),paletteTexture:i},attributes:{x:function(b,p){return p.xAttr||{buffer:p.positionBuffer,stride:8,offset:0}},y:function(b,p){return p.yAttr||{buffer:p.positionBuffer,stride:8,offset:4}},xFract:function(b,p){return p.xAttr?{constant:[0,0]}:{buffer:p.positionFractBuffer,stride:8,offset:0}},yFract:function(b,p){return p.yAttr?{constant:[0,0]}:{buffer:p.positionFractBuffer,stride:8,offset:4}},size:function(b,p){return p.size.length?{buffer:p.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(p.size*255/r.maxSize)]}},borderSize:function(b,p){return p.borderSize.length?{buffer:p.sizeBuffer,stride:2,offset:1}:{constant:[Math.round(p.borderSize*255/r.maxSize)]}},colorId:function(b,p){return p.color.length?{buffer:p.colorBuffer,stride:r.tooManyColors?8:4,offset:0}:{constant:r.tooManyColors?a.slice(p.color*4,p.color*4+4):[p.color]}},borderColorId:function(b,p){return p.borderColor.length?{buffer:p.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?a.slice(p.borderColor*4,p.borderColor*4+4):[p.borderColor]}},isActive:function(b,p){return p.activation===!0?{constant:[1]}:p.activation?p.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:e.prop(\"viewport\")},viewport:e.prop(\"viewport\"),stencil:{enable:!1},depth:{enable:!1},elements:e.prop(\"elements\"),count:e.prop(\"count\"),offset:e.prop(\"offset\"),primitive:\"points\"},d=K2({},h);d.frag=JF([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "uniform float opacity;\n",
       "uniform sampler2D markerTexture;\n",
       "\n",
       "varying vec4 fragColor, fragBorderColor;\n",
       "varying float fragWidth, fragBorderColorLevel, fragColorLevel;\n",
       "\n",
       "float smoothStep(float x, float y) {\n",
       "  return 1.0 / (1.0 + exp(50.0*(x - y)));\n",
       "}\n",
       "\n",
       "void 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",
       "`]),d.vert=JF([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "attribute float x, y, xFract, yFract;\n",
       "attribute float size, borderSize;\n",
       "attribute vec4 colorId, borderColorId;\n",
       "attribute 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.\n",
       "invariant gl_Position;\n",
       "\n",
       "uniform bool constPointSize;\n",
       "uniform float pixelRatio;\n",
       "uniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\n",
       "uniform sampler2D paletteTexture;\n",
       "\n",
       "const float maxSize = 100.;\n",
       "const float borderLevel = .5;\n",
       "\n",
       "varying vec4 fragColor, fragBorderColor;\n",
       "varying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\n",
       "\n",
       "float pointSizeScale = (constPointSize) ? 2. : pixelRatio;\n",
       "\n",
       "bool isDirect = (paletteSize.x < 1.);\n",
       "\n",
       "vec4 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",
       "\n",
       "void 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=e(d);var v=K2({},h);v.frag=JF([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "varying vec4 fragColor, fragBorderColor;\n",
       "varying float fragBorderRadius, fragWidth;\n",
       "\n",
       "uniform float opacity;\n",
       "\n",
       "float 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",
       "\n",
       "void 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",
       "`]),v.vert=JF([`precision highp float;\n",
       "#define GLSLIFY 1\n",
       "\n",
       "attribute float x, y, xFract, yFract;\n",
       "attribute float size, borderSize;\n",
       "attribute vec4 colorId, borderColorId;\n",
       "attribute 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.\n",
       "invariant gl_Position;\n",
       "\n",
       "uniform bool constPointSize;\n",
       "uniform float pixelRatio;\n",
       "uniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\n",
       "uniform sampler2D paletteTexture;\n",
       "\n",
       "const float maxSize = 100.;\n",
       "\n",
       "varying vec4 fragColor, fragBorderColor;\n",
       "varying float fragBorderRadius, fragWidth;\n",
       "\n",
       "float pointSizeScale = (constPointSize) ? 2. : pixelRatio;\n",
       "\n",
       "bool isDirect = (paletteSize.x < 1.);\n",
       "\n",
       "vec4 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",
       "\n",
       "void 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",
       "`]),Yze&&(v.frag=v.frag.replace(\"smoothstep\",\"smoothStep\"),d.frag=d.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=e(v)}nv.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};nv.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this};nv.prototype.draw=function(){for(var e=this,t=arguments.length,r=new Array(t),n=0;n<t;n++)r[n]=arguments[n];var i=this.groups;if(r.length===1&&Array.isArray(r[0])&&(r[0][0]===null||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(o,s){e.drawItem(s)});return this};nv.prototype.drawItem=function(e,t){var r=this.groups,n=r[e];if(typeof t==\"number\"&&(e=t,n=r[t],t=null),!!(n&&n.count&&n.opacity)){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,t));for(var i=[],a=1;a<n.activation.length;a++)!n.activation[a]||n.activation[a]!==!0&&!n.activation[a].data.length||i.push.apply(i,j9t(this.getMarkerDrawOptions(a,n,t)));i.length&&this.drawMarker(i)}};nv.prototype.getMarkerDrawOptions=function(e,t,r){var n=t.range,i=t.tree,a=t.viewport,o=t.activation,s=t.selectionBuffer,l=t.count,u=this.regl;if(!i)return r?[K2({},t,{markerTexture:this.markerTextures[e],activation:o[e],count:r.length,elements:r,offset:0})]:[K2({},t,{markerTexture:this.markerTextures[e],activation:o[e],offset:0})];var c=[],f=i.range(n,{lod:!0,px:[(n[2]-n[0])/a.width,(n[3]-n[1])/a.height]});if(r){for(var h=o[e],d=h.data,v=new Uint8Array(l),x=0;x<r.length;x++){var b=r[x];v[b]=d?d[b]:1}s.subdata(v)}for(var p=f.length;p--;){var C=H9t(f[p],2),E=C[0],A=C[1];c.push(K2({},t,{markerTexture:this.markerTextures[e],activation:r?s:o[e],offset:E,count:A-E}))}return c};nv.prototype.update=function(){for(var e=this,t=arguments.length,r=new Array(t),n=0;n<t;n++)r[n]=arguments[n];if(r.length){r.length===1&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,s=this.maxSize,l=this.maxColors,u=this.palette;this.groups=i=r.map(function(c,f){var h=i[f];if(c===void 0)return h;c===null?c={positions:null}:typeof c==\"function\"?c={ondraw:c}:typeof c[0]==\"number\"&&(c={positions:c}),c=tOt(c,{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\"}),c.positions===null&&(c.positions=[]),c.tooManyColors!=null&&(e.tooManyColors=c.tooManyColors),h||(i[f]=h={id:f,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\"})},c=K2({},nv.defaults,c)),c.positions&&!(\"marker\"in c)&&(c.marker=h.marker,delete h.marker),c.marker&&!(\"positions\"in c)&&(c.positions=h.positions,delete h.positions);var d=0,v=0;if(rOt(h,c,[{snap:!0,size:function(H,N){return H==null&&(H=nv.defaults.size),d+=H&&H.length?1:0,H},borderSize:function(H,N){return H==null&&(H=nv.defaults.borderSize),d+=H&&H.length?1:0,H},opacity:parseFloat,color:function(H,N){return H==null&&(H=nv.defaults.color),H=e.updateColor(H),v++,H},borderColor:function(H,N){return H==null&&(H=nv.defaults.borderColor),H=e.updateColor(H),v++,H},bounds:function(H,N,j){return\"range\"in j||(j.range=null),H},positions:function(H,N,j){var re=N.snap,oe=N.positionBuffer,_e=N.positionFractBuffer,Me=N.selectionBuffer;if(H.x||H.y)return H.x.length?N.xAttr={buffer:o.buffer(H.x),offset:0,stride:4,count:H.x.length}:N.xAttr={buffer:H.x.buffer,offset:H.x.offset*4||0,stride:(H.x.stride||1)*4,count:H.x.count},H.y.length?N.yAttr={buffer:o.buffer(H.y),offset:0,stride:4,count:H.y.length}:N.yAttr={buffer:H.y.buffer,offset:H.y.offset*4||0,stride:(H.y.stride||1)*4,count:H.y.count},N.count=Math.max(N.xAttr.count,N.yAttr.count),H;H=iOt(H,\"float64\");var ke=N.count=Math.floor(H.length/2),me=N.bounds=ke?$9t(H,2):null;if(!j.range&&!N.range&&(delete N.range,j.range=me),!j.marker&&!N.marker&&(delete N.marker,j.marker=null),re&&(re===!0||ke>re)?N.tree=eOt(H,{bounds:me}):re&&re.length&&(N.tree=re),N.tree){var ie={primitive:\"points\",usage:\"static\",data:N.tree,type:\"uint32\"};N.elements?N.elements(ie):N.elements=o.elements(ie)}var Se=$F.float32(H);oe({data:Se,usage:\"dynamic\"});var Le=$F.fract32(H,Se);return _e({data:Le,usage:\"dynamic\"}),Me({data:new Uint8Array(ke),type:\"uint8\",usage:\"stream\"}),H}},{marker:function(H,N,j){var re=N.activation;if(re.forEach(function(Le){return Le&&Le.destroy&&Le.destroy()}),re.length=0,!H||typeof H[0]==\"number\"){var oe=e.addMarker(H);re[oe]=!0}else{for(var _e=[],Me=0,ke=Math.min(H.length,N.count);Me<ke;Me++){var me=e.addMarker(H[Me]);_e[me]||(_e[me]=new Uint8Array(N.count)),_e[me][Me]=1}for(var ie=0;ie<_e.length;ie++)if(_e[ie]){var Se={data:_e[ie],type:\"uint8\",usage:\"static\"};re[ie]?re[ie](Se):re[ie]=o.buffer(Se),re[ie].data=_e[ie]}}return H},range:function(H,N,j){var re=N.bounds;if(re)return H||(H=re),N.scale=[1/(H[2]-H[0]),1/(H[3]-H[1])],N.translate=[-H[0],-H[1]],N.scaleFract=$F.fract(N.scale),N.translateFract=$F.fract(N.translate),H},viewport:function(H){var N=nOt(H||[a.drawingBufferWidth,a.drawingBufferHeight]);return N}}]),d){var x=h,b=x.count,p=x.size,C=x.borderSize,E=x.sizeBuffer,A=new Uint8Array(b*2);if(p.length||C.length)for(var L=0;L<b;L++)A[L*2]=Math.round((p[L]==null?p:p[L])*255/s),A[L*2+1]=Math.round((C[L]==null?C:C[L])*255/s);E({data:A,usage:\"dynamic\"})}if(v){var _=h,k=_.count,M=_.color,g=_.borderColor,P=_.colorBuffer,T;if(e.tooManyColors){if(M.length||g.length){T=new Uint8Array(k*8);for(var z=0;z<k;z++){var O=M[z];T[z*8]=u[O*4],T[z*8+1]=u[O*4+1],T[z*8+2]=u[O*4+2],T[z*8+3]=u[O*4+3];var V=g[z];T[z*8+4]=u[V*4],T[z*8+5]=u[V*4+1],T[z*8+6]=u[V*4+2],T[z*8+7]=u[V*4+3]}}}else if(M.length||g.length){T=new Uint8Array(k*4+2);for(var G=0;G<k;G++)M[G]!=null&&(T[G*4]=M[G]%l,T[G*4+1]=Math.floor(M[G]/l)),g[G]!=null&&(T[G*4+2]=g[G]%l,T[G*4+3]=Math.floor(g[G]/l))}P({data:T||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return h})}};nv.prototype.addMarker=function(e){var t=this.markerTextures,r=this.regl,n=this.markerCache,i=e==null?0:n.indexOf(e);if(i>=0)return i;var a;if(e instanceof Uint8Array||e instanceof Uint8ClampedArray)a=e;else{a=new Uint8Array(e.length);for(var o=0,s=e.length;o<s;o++)a[o]=e[o]*255}var l=Math.floor(Math.sqrt(a.length));return i=t.length,n.push(e),t.push(r.texture({channels:1,data:a,radius:l,mag:\"linear\",min:\"linear\"})),i};nv.prototype.updateColor=function(e){var t=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(e)||(e=[e]);var i=[];if(typeof e[0]==\"number\"){var a=[];if(Array.isArray(e))for(var o=0;o<e.length;o+=4)a.push(e.slice(o,o+4));else for(var s=0;s<e.length;s+=4)a.push(e.subarray(s,s+4));e=a}for(var l=0;l<e.length;l++){var u=e[l];u=J9t(u,\"uint8\");var c=Q9t(u,!1);if(t[c]==null){var f=r.length;t[c]=Math.floor(f/4),r[f]=u[0],r[f+1]=u[1],r[f+2]=u[2],r[f+3]=u[3]}i[l]=t[c]}return!this.tooManyColors&&r.length>n*4&&(this.tooManyColors=!0),this.updatePalette(r),i.length===1?i[0]:i};nv.prototype.updatePalette=function(e){if(!this.tooManyColors){var t=this.maxColors,r=this.paletteTexture,n=Math.ceil(e.length*.25/t);if(n>1){e=e.slice();for(var i=e.length*.25%t;i<n*t;i++)e.push(0,0,0,0)}r.height<n&&r.resize(t,n),r.subimage({width:Math.min(e.length*.25,t),height:n,data:e},0,0)}};nv.prototype.destroy=function(){return this.groups.forEach(function(e){e.sizeBuffer.destroy(),e.positionBuffer.destroy(),e.positionFractBuffer.destroy(),e.colorBuffer.destroy(),e.activation.forEach(function(t){return t&&t.destroy&&t.destroy()}),e.selectionBuffer.destroy(),e.elements&&e.elements.destroy()}),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach(function(e){return 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       "precision highp float;\n",
       "\n",
       "attribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\n",
       "attribute vec4 color;\n",
       "attribute float lineEnd, lineTop;\n",
       "\n",
       "uniform vec2 scale, scaleFract, translate, translateFract;\n",
       "uniform float thickness, pixelRatio, id, depth;\n",
       "uniform vec4 viewport;\n",
       "\n",
       "varying vec4 fragColor;\n",
       "varying vec2 tangent;\n",
       "\n",
       "vec2 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",
       "\n",
       "void 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",
       "`,WBt=`\n",
       "precision highp float;\n",
       "\n",
       "uniform float dashLength, pixelRatio, thickness, opacity, id;\n",
       "uniform sampler2D dashTexture;\n",
       "\n",
       "varying vec4 fragColor;\n",
       "varying vec2 tangent;\n",
       "\n",
       "void 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",
       "`,XBt=`\n",
       "precision highp float;\n",
       "\n",
       "attribute vec2 position, positionFract;\n",
       "\n",
       "uniform vec4 color;\n",
       "uniform vec2 scale, scaleFract, translate, translateFract;\n",
       "uniform float pixelRatio, id;\n",
       "uniform vec4 viewport;\n",
       "uniform float opacity;\n",
       "\n",
       "varying vec4 fragColor;\n",
       "\n",
       "const float MAX_LINES = 256.;\n",
       "\n",
       "void 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",
       "`,ZBt=`\n",
       "precision highp float;\n",
       "varying vec4 fragColor;\n",
       "\n",
       "void main() {\n",
       "\tgl_FragColor = fragColor;\n",
       "}\n",
       "`,YBt=`\n",
       "precision highp float;\n",
       "\n",
       "attribute vec2 aCoord, bCoord, nextCoord, prevCoord;\n",
       "attribute vec4 aColor, bColor;\n",
       "attribute float lineEnd, lineTop;\n",
       "\n",
       "uniform vec2 scale, translate;\n",
       "uniform float thickness, pixelRatio, id, depth;\n",
       "uniform vec4 viewport;\n",
       "uniform float miterLimit, miterMode;\n",
       "\n",
       "varying vec4 fragColor;\n",
       "varying vec4 startCutoff, endCutoff;\n",
       "varying vec2 tangent;\n",
       "varying vec2 startCoord, endCoord;\n",
       "varying float enableStartMiter, enableEndMiter;\n",
       "\n",
       "const float REVERSE_THRESHOLD = -.875;\n",
       "const 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",
       "\n",
       "float 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",
       "\n",
       "bool isNaN( float val ){\n",
       "  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\n",
       "}\n",
       "\n",
       "void 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",
       "`,KBt=`\n",
       "precision highp float;\n",
       "\n",
       "uniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\n",
       "uniform sampler2D dashTexture;\n",
       "\n",
       "varying vec4 fragColor;\n",
       "varying vec2 tangent;\n",
       "varying vec4 startCutoff, endCutoff;\n",
       "varying vec2 startCoord, endCoord;\n",
       "varying float enableStartMiter, enableEndMiter;\n",
       "\n",
       "float 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",
       "\n",
       "void 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",
       "`;$Oe.exports=Wc;function Wc(e,t){if(!(this instanceof Wc))return new Wc(e,t);if(typeof e==\"function\"?(t||(t={}),t.regl=e):t=e,t.length&&(t.positions=t),e=t.regl,!e.hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=e._gl,this.regl=e,this.passes=[],this.shaders=Wc.shaders.has(e)?Wc.shaders.get(e):Wc.shaders.set(e,Wc.createShaders(e)).get(e),this.update(t)}Wc.dashMult=2;Wc.maxPatternLength=256;Wc.precisionThreshold=3e6;Wc.maxPoints=1e4;Wc.maxLines=2048;Wc.shaders=new GBt;Wc.createShaders=function(e){let t=e.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),r={primitive:\"triangle strip\",instances:e.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:(o,s)=>s.join===\"round\"?2:1,miterLimit:e.prop(\"miterLimit\"),scale:e.prop(\"scale\"),scaleFract:e.prop(\"scaleFract\"),translateFract:e.prop(\"translateFract\"),translate:e.prop(\"translate\"),thickness:e.prop(\"thickness\"),dashTexture:e.prop(\"dashTexture\"),opacity:e.prop(\"opacity\"),pixelRatio:e.context(\"pixelRatio\"),id:e.prop(\"id\"),dashLength:e.prop(\"dashLength\"),viewport:(o,s)=>[s.viewport.x,s.viewport.y,o.viewportWidth,o.viewportHeight],depth:e.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:(o,s)=>!s.overlay},stencil:{enable:!1},scissor:{enable:!0,box:e.prop(\"viewport\")},viewport:e.prop(\"viewport\")},n=e(NY({vert:jBt,frag:WBt,attributes:{lineEnd:{buffer:t,divisor:0,stride:8,offset:0},lineTop:{buffer:t,divisor:0,stride:8,offset:4},aCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:e.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:e.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:e.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},r)),i;try{i=e(NY({cull:{enable:!0,face:\"back\"},vert:YBt,frag:KBt,attributes:{lineEnd:{buffer:t,divisor:0,stride:8,offset:0},lineTop:{buffer:t,divisor:0,stride:8,offset:4},aColor:{buffer:e.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:e.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},r))}catch(o){i=n}return{fill:e({primitive:\"triangle\",elements:(o,s)=>s.triangles,offset:0,vert:XBt,frag:ZBt,uniforms:{scale:e.prop(\"scale\"),color:e.prop(\"fill\"),scaleFract:e.prop(\"scaleFract\"),translateFract:e.prop(\"translateFract\"),translate:e.prop(\"translate\"),opacity:e.prop(\"opacity\"),pixelRatio:e.context(\"pixelRatio\"),id:e.prop(\"id\"),viewport:(o,s)=>[s.viewport.x,s.viewport.y,o.viewportWidth,o.viewportHeight]},attributes:{position:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:8},positionFract:{buffer:e.prop(\"positionFractBuffer\"),stride:8,offset:8}},blend:r.blend,depth:{enable:!1},scissor:r.scissor,stencil:r.stencil,viewport:r.viewport}),rect:n,miter:i}};Wc.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};Wc.prototype.render=function(...e){e.length&&this.update(...e),this.draw()};Wc.prototype.draw=function(...e){return(e.length?e:this.passes).forEach((t,r)=>{if(t&&Array.isArray(t))return this.draw(...t);typeof t==\"number\"&&(t=this.passes[t]),t&&t.count>1&&t.opacity&&(this.regl._refresh(),t.fill&&t.triangles&&t.triangles.length>2&&this.shaders.fill(t),t.thickness&&(t.scale[0]*t.viewport.width>Wc.precisionThreshold||t.scale[1]*t.viewport.height>Wc.precisionThreshold?this.shaders.rect(t):t.join===\"rect\"||!t.join&&(t.thickness<=2||t.count>=Wc.maxPoints)?this.shaders.rect(t):this.shaders.miter(t)))}),this};Wc.prototype.update=function(e){if(!e)return;e.length!=null?typeof e[0]==\"number\"&&(e=[{positions:e}]):Array.isArray(e)||(e=[e]);let{regl:t,gl:r}=this;if(e.forEach((i,a)=>{let o=this.passes[a];if(i!==void 0){if(i===null){this.passes[a]=null;return}if(typeof i[0]==\"number\"&&(i={positions:i}),i=BBt(i,{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\"}),o||(this.passes[a]=o={id:a,scale:null,scaleFract:null,translate:null,translateFract:null,count:0,hole:[],depth:0,dashLength:1,dashTexture:t.texture({channels:1,data:new Uint8Array([255]),width:1,height:1,mag:\"linear\",min:\"linear\"}),colorBuffer:t.buffer({usage:\"dynamic\",type:\"uint8\",data:new Uint8Array}),positionBuffer:t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),positionFractBuffer:t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array})},i=NY({},Wc.defaults,i)),i.thickness!=null&&(o.thickness=parseFloat(i.thickness)),i.opacity!=null&&(o.opacity=parseFloat(i.opacity)),i.miterLimit!=null&&(o.miterLimit=parseFloat(i.miterLimit)),i.overlay!=null&&(o.overlay=!!i.overlay,a<Wc.maxLines&&(o.depth=2*(Wc.maxLines-1-a%Wc.maxLines)/Wc.maxLines-1)),i.join!=null&&(o.join=i.join),i.hole!=null&&(o.hole=i.hole),i.fill!=null&&(o.fill=i.fill?vz(i.fill,\"uint8\"):null),i.viewport!=null&&(o.viewport=JOe(i.viewport)),o.viewport||(o.viewport=JOe([r.drawingBufferWidth,r.drawingBufferHeight])),i.close!=null&&(o.close=i.close),i.positions===null&&(i.positions=[]),i.positions){let u,c;if(i.positions.x&&i.positions.y){let v=i.positions.x,x=i.positions.y;c=o.count=Math.max(v.length,x.length),u=new Float64Array(c*2);for(let b=0;b<c;b++)u[b*2]=v[b],u[b*2+1]=x[b]}else u=NBt(i.positions,\"float64\"),c=o.count=Math.floor(u.length/2);let f=o.bounds=qBt(u,2);if(o.fill){let v=[],x={},b=0;for(let p=0,C=0,E=o.count;p<E;p++){let A=u[p*2],L=u[p*2+1];isNaN(A)||isNaN(L)||A==null||L==null?(A=u[b*2],L=u[b*2+1],x[p]=b):b=p,v[C++]=A,v[C++]=L}if(i.splitNull){o.count-1 in x||(x[o.count]=o.count-1);let p=Object.keys(x).map(Number).sort((L,_)=>L-_),C=[],E=0,A=o.hole!=null?o.hole[0]:null;if(A!=null){let L=HBt(p,_=>_>=A);p=p.slice(0,L),p.push(A)}for(let L=0;L<p.length;L++){let _=v.slice(E*2,p[L]*2).concat(A?v.slice(A*2):[]),k=(o.hole||[]).map(g=>g-A+(p[L]-E)),M=KOe(_,k);M=M.map(g=>g+E+(g+E<p[L]?0:A-p[L])),C.push(...M),E=p[L]+1}for(let L=0,_=C.length;L<_;L++)x[C[L]]!=null&&(C[L]=x[C[L]]);o.triangles=C}else{let p=KOe(v,o.hole||[]);for(let C=0,E=p.length;C<E;C++)x[p[C]]!=null&&(p[C]=x[p[C]]);o.triangles=p}}let h=new Float64Array(u);UBt(h,2,f);let d=new Float64Array(c*2+6);o.close?u[0]===u[c*2-2]&&u[1]===u[c*2-1]?(d[0]=h[c*2-4],d[1]=h[c*2-3]):(d[0]=h[c*2-2],d[1]=h[c*2-1]):(d[0]=h[0],d[1]=h[1]),d.set(h,2),o.close?u[0]===u[c*2-2]&&u[1]===u[c*2-1]?(d[c*2+2]=h[2],d[c*2+3]=h[3],o.count-=1):(d[c*2+2]=h[0],d[c*2+3]=h[1],d[c*2+4]=h[2],d[c*2+5]=h[3]):(d[c*2+2]=h[c*2-2],d[c*2+3]=h[c*2-1],d[c*2+4]=h[c*2-2],d[c*2+5]=h[c*2-1]);var s=VBt(d);o.positionBuffer(s);var l=BY(d,s);o.positionFractBuffer(l)}if(i.range?o.range=i.range:o.range||(o.range=o.bounds),(i.range||i.positions)&&o.count){let u=o.bounds,c=u[2]-u[0],f=u[3]-u[1],h=o.range[2]-o.range[0],d=o.range[3]-o.range[1];o.scale=[c/h,f/d],o.translate=[-o.range[0]/h+u[0]/h||0,-o.range[1]/d+u[1]/d||0],o.scaleFract=BY(o.scale),o.translateFract=BY(o.translate)}if(i.dashes){let u=0,c;if(!i.dashes||i.dashes.length<2)u=1,c=new Uint8Array([255,255,255,255,255,255,255,255]);else{u=0;for(let d=0;d<i.dashes.length;++d)u+=i.dashes[d];c=new Uint8Array(u*Wc.dashMult);let f=0,h=255;for(let d=0;d<2;d++)for(let v=0;v<i.dashes.length;++v){for(let x=0,b=i.dashes[v]*Wc.dashMult*.5;x<b;++x)c[f++]=h;h^=255}}o.dashLength=u,o.dashTexture({channels:1,data:c,width:c.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(i.color){let u=o.count,c=i.color;c||(c=\"transparent\");let f=new Uint8Array(u*4+4);if(!Array.isArray(c)||typeof c[0]==\"number\"){let h=vz(c,\"uint8\");for(let d=0;d<u+1;d++)f.set(h,d*4)}else{for(let h=0;h<u;h++){let d=vz(c[h],\"uint8\");f.set(d,h*4)}f.set(vz(c[0],\"uint8\"),u*4)}o.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:f})}}}),e.length<this.passes.length){for(let i=e.length;i<this.passes.length;i++){let a=this.passes[i];a&&(a.colorBuffer.destroy(),a.positionBuffer.destroy(),a.dashTexture.destroy())}this.passes.length=e.length}let n=[];for(let i=0;i<this.passes.length;i++)this.passes[i]!==null&&n.push(this.passes[i]);return this.passes=n,this};Wc.prototype.destroy=function(){return 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       "\t\tattribute vec2 position, positionFract;\n",
       "\t\tattribute vec4 error;\n",
       "\t\tattribute vec4 color;\n",
       "\n",
       "\t\tattribute vec2 direction, lineOffset, capOffset;\n",
       "\n",
       "\t\tuniform vec4 viewport;\n",
       "\t\tuniform float lineWidth, capSize;\n",
       "\t\tuniform vec2 scale, scaleFract, translate, translateFract;\n",
       "\n",
       "\t\tvarying vec4 fragColor;\n",
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       "\t\tvoid main() {\n",
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       "\t\t\tvec2 pixelOffset = lineWidth * lineOffset + (capSize + lineWidth) * capOffset;\n",
       "\n",
       "\t\t\tvec2 dxy = -step(.5, direction.xy) * error.xz + step(direction.xy, vec2(-.5)) * error.yw;\n",
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       "\n",
       "\t\t\tvec2 pos = (position + translate) * scale\n",
       "\t\t\t\t+ (positionFract + translateFract) * scale\n",
       "\t\t\t\t+ (position + translate) * scaleFract\n",
       "\t\t\t\t+ (positionFract + translateFract) * scaleFract;\n",
       "\n",
       "\t\t\tpos += pixelOffset / viewport.zw;\n",
       "\n",
       "\t\t\tgl_Position = vec4(pos * 2. - 1., 0, 1);\n",
       "\t\t}\n",
       "\t\t`,frag:`\n",
       "\t\tprecision highp float;\n",
       "\n",
       "\t\tvarying vec4 fragColor;\n",
       "\n",
       "\t\tuniform float opacity;\n",
       "\n",
       "\t\tvoid main() {\n",
       "\t\t\tgl_FragColor = fragColor;\n",
       "\t\t\tgl_FragColor.a *= opacity;\n",
       "\t\t}\n",
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li(Bt,Ue),Bt.width=0,Bt.height=0,Bi(Bt,qt),Bt.width=Bt.width||(Ue.width>>It)-kt,Bt.height=Bt.height||(Ue.height>>It)-Ot,sl(Ue),Un(Bt,_n,kt,Ot,It),io(),Ln(Bt),ft}function hr(qt,Ve){var et=qt|0,at=Ve|0||et;if(et===Ue.width&&at===Ue.height)return ft;ft.width=Ue.width=et,ft.height=Ue.height=at,sl(Ue);for(var kt=0;Ue.mipmask>>kt;++kt){var Ot=et>>kt,It=at>>kt;if(!Ot||!It)break;Ee.texImage2D(_n,kt,Ue.format,Ot,It,0,Ue.format,Ue.type,null)}return io(),Vr.profile&&(Ue.stats.size=cc(Ue.internalformat,Ue.type,et,at,!1,!1)),ft}return ft(ne,we),ft.subimage=Zt,ft.resize=hr,ft._reglType=\"texture2d\",ft._texture=Ue,Vr.profile&&(ft.stats=Ue.stats),ft.destroy=function(){Ue.decRef()},ft}function J(ne,we,Ue,ft,Zt,hr){var qt=new Ta(ya);ls[qt.id]=qt,Br.cubeCount++;var Ve=new Array(6);function et(Ot,It,Bt,Rt,mt,Pt){var ht,cr=qt.texInfo;for(zo.call(cr),ht=0;ht<6;++ht)Ve[ht]=Va();if(typeof Ot==\"number\"||!Ot){var br=Ot|0||1;for(ht=0;ht<6;++ht)oa(Ve[ht],br,br)}else if(typeof Ot==\"object\")if(It)wa(Ve[0],Ot),wa(Ve[1],It),wa(Ve[2],Bt),wa(Ve[3],Rt),wa(Ve[4],mt),wa(Ve[5],Pt);else if(el(cr,Ot),mn(qt,Ot),\"faces\"in Ot){var Nr=Ot.faces;for(ht=0;ht<6;++ht)li(Ve[ht],qt),wa(Ve[ht],Nr[ht])}else for(ht=0;ht<6;++ht)wa(Ve[ht],Ot);for(li(qt,Ve[0]),cr.genMipmaps?qt.mipmask=(Ve[0].width<<1)-1:qt.mipmask=Ve[0].mipmask,qt.internalformat=Ve[0].internalformat,et.width=Ve[0].width,et.height=Ve[0].height,sl(qt),ht=0;ht<6;++ht)ns(Ve[ht],Jn+ht);for(ol(cr,ya),io(),Vr.profile&&(qt.stats.size=cc(qt.internalformat,qt.type,et.width,et.height,cr.genMipmaps,!0)),et.format=xi[qt.internalformat],et.type=Ii[qt.type],et.mag=ci[cr.magFilter],et.min=nn[cr.minFilter],et.wrapS=Xi[cr.wrapS],et.wrapT=Xi[cr.wrapT],ht=0;ht<6;++ht)Ml(Ve[ht]);return et}function at(Ot,It,Bt,Rt,mt){var Pt=Bt|0,ht=Rt|0,cr=mt|0,br=Yi();return li(br,qt),br.width=0,br.height=0,Bi(br,It),br.width=br.width||(qt.width>>cr)-Pt,br.height=br.height||(qt.height>>cr)-ht,sl(qt),Un(br,Jn+Ot,Pt,ht,cr),io(),Ln(br),et}function kt(Ot){var It=Ot|0;if(It!==qt.width){et.width=qt.width=It,et.height=qt.height=It,sl(qt);for(var Bt=0;Bt<6;++Bt)for(var Rt=0;qt.mipmask>>Rt;++Rt)Ee.texImage2D(Jn+Bt,Rt,qt.format,It>>Rt,It>>Rt,0,qt.format,qt.type,null);return io(),Vr.profile&&(qt.stats.size=cc(qt.internalformat,qt.type,et.width,et.height,!1,!0)),et}}return et(ne,we,Ue,ft,Zt,hr),et.subimage=at,et.resize=kt,et._reglType=\"textureCube\",et._texture=qt,Vr.profile&&(et.stats=qt.stats),et.destroy=function(){qt.decRef()},et}function q(){for(var ne=0;ne<Gs;++ne)Ee.activeTexture(Fu+ne),Ee.bindTexture(_n,null),Ks[ne]=null;dt(ls).forEach(Y),Br.cubeCount=0,Br.textureCount=0}Vr.profile&&(Br.getTotalTextureSize=function(){var ne=0;return Object.keys(ls).forEach(function(we){ne+=ls[we].stats.size}),ne});function K(){for(var ne=0;ne<Gs;++ne){var we=Ks[ne];we&&(we.bindCount=0,we.unit=-1,Ks[ne]=null)}dt(ls).forEach(function(Ue){Ue.texture=Ee.createTexture(),Ee.bindTexture(Ue.target,Ue.texture);for(var ft=0;ft<32;++ft)if((Ue.mipmask&1<<ft)!==0)if(Ue.target===_n)Ee.texImage2D(_n,ft,Ue.internalformat,Ue.width>>ft,Ue.height>>ft,0,Ue.internalformat,Ue.type,null);else for(var Zt=0;Zt<6;++Zt)Ee.texImage2D(Jn+Zt,ft,Ue.internalformat,Ue.width>>ft,Ue.height>>ft,0,Ue.internalformat,Ue.type,null);ol(Ue.texInfo,Ue.target)})}function de(){for(var ne=0;ne<Gs;++ne){var we=Ks[ne];we&&(we.bindCount=0,we.unit=-1,Ks[ne]=null),Ee.activeTexture(Fu+ne),Ee.bindTexture(_n,null),Ee.bindTexture(ya,null)}}return{create2D:D,createCube:J,clear:q,getTexture:function(ne){return null},restore:K,refresh:de}}var Bl=36161,Kc=32854,Rc=32855,ms=36194,jf=33189,Uh=36168,rh=34041,sf=35907,xh=34836,Mu=34842,ih=34843,Ws=[];Ws[Kc]=2,Ws[Rc]=2,Ws[ms]=2,Ws[jf]=2,Ws[Uh]=1,Ws[rh]=4,Ws[sf]=4,Ws[xh]=16,Ws[Mu]=8,Ws[ih]=6;function Eu(Ee,xt,zt){return Ws[Ee]*xt*zt}var Dc=function(Ee,xt,zt,Ir,Hr){var Br={rgba4:Kc,rgb565:ms,\"rgb5 a1\":Rc,depth:jf,stencil:Uh,\"depth stencil\":rh};xt.ext_srgb&&(Br.srgba=sf),xt.ext_color_buffer_half_float&&(Br.rgba16f=Mu,Br.rgb16f=ih),xt.webgl_color_buffer_float&&(Br.rgba32f=xh);var Vr=[];Object.keys(Br).forEach(function(ji){var si=Br[ji];Vr[si]=ji});var mi=0,Ni={};function Oi(ji){this.id=mi++,this.refCount=1,this.renderbuffer=ji,this.format=Kc,this.width=0,this.height=0,Hr.profile&&(this.stats={size:0})}Oi.prototype.decRef=function(){--this.refCount<=0&&Mi(this)};function Mi(ji){var si=ji.renderbuffer;Ee.bindRenderbuffer(Bl,null),Ee.deleteRenderbuffer(si),ji.renderbuffer=null,ji.refCount=0,delete Ni[ji.id],Ir.renderbufferCount--}function Hn(ji,si){var Mr=new Oi(Ee.createRenderbuffer());Ni[Mr.id]=Mr,Ir.renderbufferCount++;function Yr(Ii,ci){var nn=0,Xi=0,qn=Kc;if(typeof Ii==\"object\"&&Ii){var vi=Ii;if(\"shape\"in vi){var li=vi.shape;nn=li[0]|0,Xi=li[1]|0}else\"radius\"in vi&&(nn=Xi=vi.radius|0),\"width\"in vi&&(nn=vi.width|0),\"height\"in vi&&(Xi=vi.height|0);\"format\"in vi&&(qn=Br[vi.format])}else typeof Ii==\"number\"?(nn=Ii|0,typeof ci==\"number\"?Xi=ci|0:Xi=nn):Ii||(nn=Xi=1);if(!(nn===Mr.width&&Xi===Mr.height&&qn===Mr.format))return Yr.width=Mr.width=nn,Yr.height=Mr.height=Xi,Mr.format=qn,Ee.bindRenderbuffer(Bl,Mr.renderbuffer),Ee.renderbufferStorage(Bl,qn,nn,Xi),Hr.profile&&(Mr.stats.size=Eu(Mr.format,Mr.width,Mr.height)),Yr.format=Vr[Mr.format],Yr}function xi(Ii,ci){var nn=Ii|0,Xi=ci|0||nn;return nn===Mr.width&&Xi===Mr.height||(Yr.width=Mr.width=nn,Yr.height=Mr.height=Xi,Ee.bindRenderbuffer(Bl,Mr.renderbuffer),Ee.renderbufferStorage(Bl,Mr.format,nn,Xi),Hr.profile&&(Mr.stats.size=Eu(Mr.format,Mr.width,Mr.height))),Yr}return Yr(ji,si),Yr.resize=xi,Yr._reglType=\"renderbuffer\",Yr._renderbuffer=Mr,Hr.profile&&(Yr.stats=Mr.stats),Yr.destroy=function(){Mr.decRef()},Yr}Hr.profile&&(Ir.getTotalRenderbufferSize=function(){var ji=0;return Object.keys(Ni).forEach(function(si){ji+=Ni[si].stats.size}),ji});function Qi(){dt(Ni).forEach(function(ji){ji.renderbuffer=Ee.createRenderbuffer(),Ee.bindRenderbuffer(Bl,ji.renderbuffer),Ee.renderbufferStorage(Bl,ji.format,ji.width,ji.height)}),Ee.bindRenderbuffer(Bl,null)}return{create:Hn,clear:function(){dt(Ni).forEach(Mi)},restore:Qi}},ks=36160,bc=36161,du=3553,_u=34069,al=36064,nh=36096,bh=36128,zu=33306,Fc=36053,wc=36193,bd=5121,_f=5126,Lf=6407,Ou=6408,xf=[];xf[Ou]=4,xf[Lf]=3;var jl=[];jl[bd]=1,jl[_f]=4,jl[wc]=2;function lf(Ee,xt,zt,Ir,Hr,Br){var Vr={cur:null,next:null,dirty:!1,setFBO:null},mi=[\"rgba\"],Ni=[\"rgba4\",\"rgb565\",\"rgb5 a1\"];xt.ext_srgb&&Ni.push(\"srgba\"),xt.ext_color_buffer_half_float&&Ni.push(\"rgba16f\",\"rgb16f\"),xt.webgl_color_buffer_float&&Ni.push(\"rgba32f\");var Oi=[\"uint8\"];xt.oes_texture_half_float&&Oi.push(\"half float\",\"float16\"),xt.oes_texture_float&&Oi.push(\"float\",\"float32\");function Mi(Ui,Bi,vn){this.target=Ui,this.texture=Bi,this.renderbuffer=vn;var Un=0,na=0;Bi?(Un=Bi.width,na=Bi.height):vn&&(Un=vn.width,na=vn.height),this.width=Un,this.height=na}function Hn(Ui){Ui&&(Ui.texture&&Ui.texture._texture.decRef(),Ui.renderbuffer&&Ui.renderbuffer._renderbuffer.decRef())}function Qi(Ui,Bi,vn){if(Ui)if(Ui.texture){var Un=Ui.texture._texture,na=Math.max(1,Un.width),Yi=Math.max(1,Un.height);Un.refCount+=1}else{var Ln=Ui.renderbuffer._renderbuffer;Ln.refCount+=1}}function ji(Ui,Bi){Bi&&(Bi.texture?Ee.framebufferTexture2D(ks,Ui,Bi.target,Bi.texture._texture.texture,0):Ee.framebufferRenderbuffer(ks,Ui,bc,Bi.renderbuffer._renderbuffer.renderbuffer))}function si(Ui){var Bi=du,vn=null,Un=null,na=Ui;typeof Ui==\"object\"&&(na=Ui.data,\"target\"in Ui&&(Bi=Ui.target|0));var Yi=na._reglType;return Yi===\"texture2d\"||Yi===\"textureCube\"?vn=na:Yi===\"renderbuffer\"&&(Un=na,Bi=bc),new Mi(Bi,vn,Un)}function Mr(Ui,Bi,vn,Un,na){if(vn){var Yi=Ir.create2D({width:Ui,height:Bi,format:Un,type:na});return Yi._texture.refCount=0,new Mi(du,Yi,null)}else{var Ln=Hr.create({width:Ui,height:Bi,format:Un});return Ln._renderbuffer.refCount=0,new Mi(bc,null,Ln)}}function Yr(Ui){return Ui&&(Ui.texture||Ui.renderbuffer)}function xi(Ui,Bi,vn){Ui&&(Ui.texture?Ui.texture.resize(Bi,vn):Ui.renderbuffer&&Ui.renderbuffer.resize(Bi,vn),Ui.width=Bi,Ui.height=vn)}var Ii=0,ci={};function nn(){this.id=Ii++,ci[this.id]=this,this.framebuffer=Ee.createFramebuffer(),this.width=0,this.height=0,this.colorAttachments=[],this.depthAttachment=null,this.stencilAttachment=null,this.depthStencilAttachment=null}function Xi(Ui){Ui.colorAttachments.forEach(Hn),Hn(Ui.depthAttachment),Hn(Ui.stencilAttachment),Hn(Ui.depthStencilAttachment)}function qn(Ui){var Bi=Ui.framebuffer;Ee.deleteFramebuffer(Bi),Ui.framebuffer=null,Br.framebufferCount--,delete ci[Ui.id]}function vi(Ui){var Bi;Ee.bindFramebuffer(ks,Ui.framebuffer);var vn=Ui.colorAttachments;for(Bi=0;Bi<vn.length;++Bi)ji(al+Bi,vn[Bi]);for(Bi=vn.length;Bi<zt.maxColorAttachments;++Bi)Ee.framebufferTexture2D(ks,al+Bi,du,null,0);Ee.framebufferTexture2D(ks,zu,du,null,0),Ee.framebufferTexture2D(ks,nh,du,null,0),Ee.framebufferTexture2D(ks,bh,du,null,0),ji(nh,Ui.depthAttachment),ji(bh,Ui.stencilAttachment),ji(zu,Ui.depthStencilAttachment);var Un=Ee.checkFramebufferStatus(ks);Ee.isContextLost(),Ee.bindFramebuffer(ks,Vr.next?Vr.next.framebuffer:null),Vr.cur=Vr.next,Ee.getError()}function li(Ui,Bi){var vn=new nn;Br.framebufferCount++;function Un(Yi,Ln){var ra,oa=0,wa=0,ns=!0,Ys=!0,Va=null,Ml=!0,zo=\"rgba\",el=\"uint8\",ol=1,Ul=null,ls=null,Gs=null,Ks=!1;if(typeof Yi==\"number\")oa=Yi|0,wa=Ln|0||oa;else if(!Yi)oa=wa=1;else{var Ta=Yi;if(\"shape\"in Ta){var sl=Ta.shape;oa=sl[0],wa=sl[1]}else\"radius\"in Ta&&(oa=wa=Ta.radius),\"width\"in Ta&&(oa=Ta.width),\"height\"in Ta&&(wa=Ta.height);(\"color\"in Ta||\"colors\"in Ta)&&(Va=Ta.color||Ta.colors,Array.isArray(Va)),Va||(\"colorCount\"in Ta&&(ol=Ta.colorCount|0),\"colorTexture\"in Ta&&(Ml=!!Ta.colorTexture,zo=\"rgba4\"),\"colorType\"in Ta&&(el=Ta.colorType,Ml||(el===\"half float\"||el===\"float16\"?zo=\"rgba16f\":(el===\"float\"||el===\"float32\")&&(zo=\"rgba32f\"))),\"colorFormat\"in Ta&&(zo=Ta.colorFormat,mi.indexOf(zo)>=0?Ml=!0:Ni.indexOf(zo)>=0&&(Ml=!1))),(\"depthTexture\"in Ta||\"depthStencilTexture\"in Ta)&&(Ks=!!(Ta.depthTexture||Ta.depthStencilTexture)),\"depth\"in Ta&&(typeof Ta.depth==\"boolean\"?ns=Ta.depth:(Ul=Ta.depth,Ys=!1)),\"stencil\"in Ta&&(typeof Ta.stencil==\"boolean\"?Ys=Ta.stencil:(ls=Ta.stencil,ns=!1)),\"depthStencil\"in Ta&&(typeof Ta.depthStencil==\"boolean\"?ns=Ys=Ta.depthStencil:(Gs=Ta.depthStencil,ns=!1,Ys=!1))}var io=null,Y=null,D=null,J=null;if(Array.isArray(Va))io=Va.map(si);else if(Va)io=[si(Va)];else for(io=new Array(ol),ra=0;ra<ol;++ra)io[ra]=Mr(oa,wa,Ml,zo,el);oa=oa||io[0].width,wa=wa||io[0].height,Ul?Y=si(Ul):ns&&!Ys&&(Y=Mr(oa,wa,Ks,\"depth\",\"uint32\")),ls?D=si(ls):Ys&&!ns&&(D=Mr(oa,wa,!1,\"stencil\",\"uint8\")),Gs?J=si(Gs):!Ul&&!ls&&Ys&&ns&&(J=Mr(oa,wa,Ks,\"depth stencil\",\"depth stencil\"));var q=null;for(ra=0;ra<io.length;++ra)if(Qi(io[ra],oa,wa),io[ra]&&io[ra].texture){var K=xf[io[ra].texture._texture.format]*jl[io[ra].texture._texture.type];q===null&&(q=K)}return Qi(Y,oa,wa),Qi(D,oa,wa),Qi(J,oa,wa),Xi(vn),vn.width=oa,vn.height=wa,vn.colorAttachments=io,vn.depthAttachment=Y,vn.stencilAttachment=D,vn.depthStencilAttachment=J,Un.color=io.map(Yr),Un.depth=Yr(Y),Un.stencil=Yr(D),Un.depthStencil=Yr(J),Un.width=vn.width,Un.height=vn.height,vi(vn),Un}function na(Yi,Ln){var ra=Math.max(Yi|0,1),oa=Math.max(Ln|0||ra,1);if(ra===vn.width&&oa===vn.height)return Un;for(var wa=vn.colorAttachments,ns=0;ns<wa.length;++ns)xi(wa[ns],ra,oa);return xi(vn.depthAttachment,ra,oa),xi(vn.stencilAttachment,ra,oa),xi(vn.depthStencilAttachment,ra,oa),vn.width=Un.width=ra,vn.height=Un.height=oa,vi(vn),Un}return Un(Ui,Bi),e(Un,{resize:na,_reglType:\"framebuffer\",_framebuffer:vn,destroy:function(){qn(vn),Xi(vn)},use:function(Yi){Vr.setFBO({framebuffer:Un},Yi)}})}function mn(Ui){var Bi=Array(6);function vn(na){var Yi,Ln={color:null},ra=0,oa=null,wa=\"rgba\",ns=\"uint8\",Ys=1;if(typeof na==\"number\")ra=na|0;else if(!na)ra=1;else{var Va=na;if(\"shape\"in Va){var Ml=Va.shape;ra=Ml[0]}else\"radius\"in Va&&(ra=Va.radius|0),\"width\"in Va?(ra=Va.width|0,\"height\"in Va):\"height\"in Va&&(ra=Va.height|0);(\"color\"in Va||\"colors\"in Va)&&(oa=Va.color||Va.colors,Array.isArray(oa)),oa||(\"colorCount\"in Va&&(Ys=Va.colorCount|0),\"colorType\"in Va&&(ns=Va.colorType),\"colorFormat\"in Va&&(wa=Va.colorFormat)),\"depth\"in Va&&(Ln.depth=Va.depth),\"stencil\"in Va&&(Ln.stencil=Va.stencil),\"depthStencil\"in Va&&(Ln.depthStencil=Va.depthStencil)}var zo;if(oa)if(Array.isArray(oa))for(zo=[],Yi=0;Yi<oa.length;++Yi)zo[Yi]=oa[Yi];else zo=[oa];else{zo=Array(Ys);var el={radius:ra,format:wa,type:ns};for(Yi=0;Yi<Ys;++Yi)zo[Yi]=Ir.createCube(el)}for(Ln.color=Array(zo.length),Yi=0;Yi<zo.length;++Yi){var ol=zo[Yi];ra=ra||ol.width,Ln.color[Yi]={target:_u,data:zo[Yi]}}for(Yi=0;Yi<6;++Yi){for(var Ul=0;Ul<zo.length;++Ul)Ln.color[Ul].target=_u+Yi;Yi>0&&(Ln.depth=Bi[0].depth,Ln.stencil=Bi[0].stencil,Ln.depthStencil=Bi[0].depthStencil),Bi[Yi]?Bi[Yi](Ln):Bi[Yi]=li(Ln)}return e(vn,{width:ra,height:ra,color:zo})}function Un(na){var Yi,Ln=na|0;if(Ln===vn.width)return vn;var ra=vn.color;for(Yi=0;Yi<ra.length;++Yi)ra[Yi].resize(Ln);for(Yi=0;Yi<6;++Yi)Bi[Yi].resize(Ln);return vn.width=vn.height=Ln,vn}return vn(Ui),e(vn,{faces:Bi,resize:Un,_reglType:\"framebufferCube\",destroy:function(){Bi.forEach(function(na){na.destroy()})}})}function Ki(){Vr.cur=null,Vr.next=null,Vr.dirty=!0,dt(ci).forEach(function(Ui){Ui.framebuffer=Ee.createFramebuffer(),vi(Ui)})}return e(Vr,{getFramebuffer:function(Ui){if(typeof Ui==\"function\"&&Ui._reglType===\"framebuffer\"){var Bi=Ui._framebuffer;if(Bi instanceof nn)return Bi}return null},create:li,createCube:mn,clear:function(){dt(ci).forEach(qn)},restore:Ki})}var Vh=5126,Pf=34962,Ls=34963;function vu(){this.state=0,this.x=0,this.y=0,this.z=0,this.w=0,this.buffer=null,this.size=0,this.normalized=!1,this.type=Vh,this.offset=0,this.stride=0,this.divisor=0}function Cu(Ee,xt,zt,Ir,Hr,Br,Vr){for(var mi=zt.maxAttributes,Ni=new Array(mi),Oi=0;Oi<mi;++Oi)Ni[Oi]=new vu;var Mi=0,Hn={},Qi={Record:vu,scope:{},state:Ni,currentVAO:null,targetVAO:null,restore:si()?Xi:function(){},createVAO:qn,getVAO:Yr,destroyBuffer:ji,setVAO:si()?xi:Ii,clear:si()?ci:function(){}};function ji(vi){for(var li=0;li<Ni.length;++li){var mn=Ni[li];mn.buffer===vi&&(Ee.disableVertexAttribArray(li),mn.buffer=null)}}function si(){return xt.oes_vertex_array_object}function Mr(){return xt.angle_instanced_arrays}function Yr(vi){return typeof vi==\"function\"&&vi._vao?vi._vao:null}function xi(vi){if(vi!==Qi.currentVAO){var li=si();vi?li.bindVertexArrayOES(vi.vao):li.bindVertexArrayOES(null),Qi.currentVAO=vi}}function Ii(vi){if(vi!==Qi.currentVAO){if(vi)vi.bindAttrs();else{for(var li=Mr(),mn=0;mn<Ni.length;++mn){var Ki=Ni[mn];Ki.buffer?(Ee.enableVertexAttribArray(mn),Ki.buffer.bind(),Ee.vertexAttribPointer(mn,Ki.size,Ki.type,Ki.normalized,Ki.stride,Ki.offfset),li&&Ki.divisor&&li.vertexAttribDivisorANGLE(mn,Ki.divisor)):(Ee.disableVertexAttribArray(mn),Ee.vertexAttrib4f(mn,Ki.x,Ki.y,Ki.z,Ki.w))}Vr.elements?Ee.bindBuffer(Ls,Vr.elements.buffer.buffer):Ee.bindBuffer(Ls,null)}Qi.currentVAO=vi}}function ci(){dt(Hn).forEach(function(vi){vi.destroy()})}function nn(){this.id=++Mi,this.attributes=[],this.elements=null,this.ownsElements=!1,this.count=0,this.offset=0,this.instances=-1,this.primitive=4;var vi=si();vi?this.vao=vi.createVertexArrayOES():this.vao=null,Hn[this.id]=this,this.buffers=[]}nn.prototype.bindAttrs=function(){for(var vi=Mr(),li=this.attributes,mn=0;mn<li.length;++mn){var Ki=li[mn];Ki.buffer?(Ee.enableVertexAttribArray(mn),Ee.bindBuffer(Pf,Ki.buffer.buffer),Ee.vertexAttribPointer(mn,Ki.size,Ki.type,Ki.normalized,Ki.stride,Ki.offset),vi&&Ki.divisor&&vi.vertexAttribDivisorANGLE(mn,Ki.divisor)):(Ee.disableVertexAttribArray(mn),Ee.vertexAttrib4f(mn,Ki.x,Ki.y,Ki.z,Ki.w))}for(var Ui=li.length;Ui<mi;++Ui)Ee.disableVertexAttribArray(Ui);var Bi=Br.getElements(this.elements);Bi?Ee.bindBuffer(Ls,Bi.buffer.buffer):Ee.bindBuffer(Ls,null)},nn.prototype.refresh=function(){var vi=si();vi&&(vi.bindVertexArrayOES(this.vao),this.bindAttrs(),Qi.currentVAO=null,vi.bindVertexArrayOES(null))},nn.prototype.destroy=function(){if(this.vao){var vi=si();this===Qi.currentVAO&&(Qi.currentVAO=null,vi.bindVertexArrayOES(null)),vi.deleteVertexArrayOES(this.vao),this.vao=null}this.ownsElements&&(this.elements.destroy(),this.elements=null,this.ownsElements=!1),Hn[this.id]&&(delete Hn[this.id],Ir.vaoCount-=1)};function Xi(){var vi=si();vi&&dt(Hn).forEach(function(li){li.refresh()})}function qn(vi){var li=new nn;Ir.vaoCount+=1;function mn(Ki){var Ui;if(Array.isArray(Ki))Ui=Ki,li.elements&&li.ownsElements&&li.elements.destroy(),li.elements=null,li.ownsElements=!1,li.offset=0,li.count=0,li.instances=-1,li.primitive=4;else{if(Ki.elements){var Bi=Ki.elements;li.ownsElements?typeof Bi==\"function\"&&Bi._reglType===\"elements\"?(li.elements.destroy(),li.ownsElements=!1):(li.elements(Bi),li.ownsElements=!1):Br.getElements(Ki.elements)?(li.elements=Ki.elements,li.ownsElements=!1):(li.elements=Br.create(Ki.elements),li.ownsElements=!0)}else li.elements=null,li.ownsElements=!1;Ui=Ki.attributes,li.offset=0,li.count=-1,li.instances=-1,li.primitive=4,li.elements&&(li.count=li.elements._elements.vertCount,li.primitive=li.elements._elements.primType),\"offset\"in Ki&&(li.offset=Ki.offset|0),\"count\"in Ki&&(li.count=Ki.count|0),\"instances\"in Ki&&(li.instances=Ki.instances|0),\"primitive\"in Ki&&(li.primitive=Mn[Ki.primitive])}var vn={},Un=li.attributes;Un.length=Ui.length;for(var na=0;na<Ui.length;++na){var Yi=Ui[na],Ln=Un[na]=new vu,ra=Yi.data||Yi;if(Array.isArray(ra)||Wr(ra)||Ur(ra)){var oa;li.buffers[na]&&(oa=li.buffers[na],Wr(ra)&&oa._buffer.byteLength>=ra.byteLength?oa.subdata(ra):(oa.destroy(),li.buffers[na]=null)),li.buffers[na]||(oa=li.buffers[na]=Hr.create(Yi,Pf,!1,!0)),Ln.buffer=Hr.getBuffer(oa),Ln.size=Ln.buffer.dimension|0,Ln.normalized=!1,Ln.type=Ln.buffer.dtype,Ln.offset=0,Ln.stride=0,Ln.divisor=0,Ln.state=1,vn[na]=1}else 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Wu(Ee,xt,zt,Ir){var Hr={},Br={};function Vr(Mr,Yr,xi,Ii){this.name=Mr,this.id=Yr,this.location=xi,this.info=Ii}function mi(Mr,Yr){for(var xi=0;xi<Mr.length;++xi)if(Mr[xi].id===Yr.id){Mr[xi].location=Yr.location;return}Mr.push(Yr)}function Ni(Mr,Yr,xi){var Ii=Mr===Wf?Hr:Br,ci=Ii[Yr];if(!ci){var nn=xt.str(Yr);ci=Ee.createShader(Mr),Ee.shaderSource(ci,nn),Ee.compileShader(ci),Ii[Yr]=ci}return ci}var Oi={},Mi=[],Hn=0;function Qi(Mr,Yr){this.id=Hn++,this.fragId=Mr,this.vertId=Yr,this.program=null,this.uniforms=[],this.attributes=[],this.refCount=1,Ir.profile&&(this.stats={uniformsCount:0,attributesCount:0})}function ji(Mr,Yr,xi){var Ii,ci,nn=Ni(Wf,Mr.fragId),Xi=Ni(Vs,Mr.vertId),qn=Mr.program=Ee.createProgram();if(Ee.attachShader(qn,nn),Ee.attachShader(qn,Xi),xi)for(Ii=0;Ii<xi.length;++Ii){var vi=xi[Ii];Ee.bindAttribLocation(qn,vi[0],vi[1])}Ee.linkProgram(qn);var li=Ee.getProgramParameter(qn,bf);Ir.profile&&(Mr.stats.uniformsCount=li);var mn=Mr.uniforms;for(Ii=0;Ii<li;++Ii)if(ci=Ee.getActiveUniform(qn,Ii),ci)if(ci.size>1)for(var Ki=0;Ki<ci.size;++Ki){var Ui=ci.name.replace(\"[0]\",\"[\"+Ki+\"]\");mi(mn,new Vr(Ui,xt.id(Ui),Ee.getUniformLocation(qn,Ui),ci))}else mi(mn,new Vr(ci.name,xt.id(ci.name),Ee.getUniformLocation(qn,ci.name),ci));var Bi=Ee.getProgramParameter(qn,zc);Ir.profile&&(Mr.stats.attributesCount=Bi);var vn=Mr.attributes;for(Ii=0;Ii<Bi;++Ii)ci=Ee.getActiveAttrib(qn,Ii),ci&&mi(vn,new Vr(ci.name,xt.id(ci.name),Ee.getAttribLocation(qn,ci.name),ci))}Ir.profile&&(zt.getMaxUniformsCount=function(){var Mr=0;return Mi.forEach(function(Yr){Yr.stats.uniformsCount>Mr&&(Mr=Yr.stats.uniformsCount)}),Mr},zt.getMaxAttributesCount=function(){var Mr=0;return Mi.forEach(function(Yr){Yr.stats.attributesCount>Mr&&(Mr=Yr.stats.attributesCount)}),Mr});function si(){Hr={},Br={};for(var Mr=0;Mr<Mi.length;++Mr)ji(Mi[Mr],null,Mi[Mr].attributes.map(function(Yr){return[Yr.location,Yr.name]}))}return{clear:function(){var Mr=Ee.deleteShader.bind(Ee);dt(Hr).forEach(Mr),Hr={},dt(Br).forEach(Mr),Br={},Mi.forEach(function(Yr){Ee.deleteProgram(Yr.program)}),Mi.length=0,Oi={},zt.shaderCount=0},program:function(Mr,Yr,xi,Ii){var ci=Oi[Yr];ci||(ci=Oi[Yr]={});var nn=ci[Mr];if(nn&&(nn.refCount++,!Ii))return nn;var Xi=new Qi(Yr,Mr);return zt.shaderCount++,ji(Xi,xi,Ii),nn||(ci[Mr]=Xi),Mi.push(Xi),e(Xi,{destroy:function(){if(Xi.refCount--,Xi.refCount<=0){Ee.deleteProgram(Xi.program);var qn=Mi.indexOf(Xi);Mi.splice(qn,1),zt.shaderCount--}ci[Xi.vertId].refCount<=0&&(Ee.deleteShader(Br[Xi.vertId]),delete Br[Xi.vertId],delete Oi[Xi.fragId][Xi.vertId]),Object.keys(Oi[Xi.fragId]).length||(Ee.deleteShader(Hr[Xi.fragId]),delete Hr[Xi.fragId],delete Oi[Xi.fragId])}})},restore:si,shader:Ni,frag:-1,vert:-1}}var If=6408,Xu=5121,uf=3333,Xf=5126;function Wl(Ee,xt,zt,Ir,Hr,Br,Vr){function mi(Mi){var Hn;xt.next===null?Hn=Xu:Hn=xt.next.colorAttachments[0].texture._texture.type;var 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Ii=zt.angle_instanced_arrays,ci=zt.webgl_draw_buffers,nn=zt.oes_vertex_array_object,Xi={dirty:!0,profile:Mr.profile},qn={},vi=[],li={},mn={};function Ki(Ve){return Ve.replace(\".\",\"_\")}function Ui(Ve,et,at){var kt=Ki(Ve);vi.push(Ve),qn[kt]=Xi[kt]=!!at,li[kt]=et}function Bi(Ve,et,at){var kt=Ki(Ve);vi.push(Ve),Array.isArray(at)?(Xi[kt]=at.slice(),qn[kt]=at.slice()):Xi[kt]=qn[kt]=at,mn[kt]=et}function vn(Ve){return!!isNaN(Ve)}Ui(Ts,Li),Ui(Ho,ii),Bi(yl,\"blendColor\",[0,0,0,0]),Bi(Xs,\"blendEquationSeparate\",[yr,yr]),Bi(Ps,\"blendFuncSeparate\",[gr,jt,gr,jt]),Ui(va,sn,!0),Bi(no,\"depthFunc\",Gr),Bi(_s,\"depthRange\",[0,1]),Bi(is,\"depthMask\",!0),Bi($l,$l,[!0,!0,!0,!0]),Ui(ku,jr),Bi(Yu,\"cullFace\",se),Bi(Nc,Nc,Ne),Bi(gu,gu,1),Ui(Uc,Kn),Bi(xu,\"polygonOffset\",[0,0]),Ui(Ac,Aa),Ui(Ua,fa),Bi(oo,\"sampleCoverage\",[1,!1]),Ui(Vc,un),Bi(hc,\"stencilMask\",-1),Bi(Ku,\"stencilFunc\",[Ct,0,-1]),Bi(ue,\"stencilOpSeparate\",[X,nt,nt,nt]),Bi(w,\"stencilOpSeparate\",[se,nt,nt,nt]),Ui(B,In),Bi(Q,\"scissor\",[0,0,Ee.drawingBufferWidth,Ee.drawingBufferHeight]),Bi(ee,ee,[0,0,Ee.drawingBufferWidth,Ee.drawingBufferHeight]);var Un={gl:Ee,context:Qi,strings:xt,next:qn,current:Xi,draw:Hn,elements:Br,buffer:Hr,shader:Mi,attributes:Oi.state,vao:Oi,uniforms:Ni,framebuffer:mi,extensions:zt,timer:ji,isBufferArgs:Pi},na={primTypes:Mn,compareFuncs:Xr,blendFuncs:bi,blendEquations:xi,stencilOps:ni,glTypes:Hi,orientationType:gi};ci&&(na.backBuffer=[se],na.drawBuffer=M(Ir.maxDrawbuffers,function(Ve){return Ve===0?[0]:M(Ve,function(et){return _i+et})}));var Yi=0;function Ln(){var Ve=$n({cache:si}),et=Ve.link,at=Ve.global;Ve.id=Yi++,Ve.batchId=\"0\";var kt=et(Un),Ot=Ve.shared={props:\"a0\"};Object.keys(Un).forEach(function(Pt){Ot[Pt]=at.def(kt,\".\",Pt)});var It=Ve.next={},Bt=Ve.current={};Object.keys(mn).forEach(function(Pt){Array.isArray(Xi[Pt])&&(It[Pt]=at.def(Ot.next,\".\",Pt),Bt[Pt]=at.def(Ot.current,\".\",Pt))});var Rt=Ve.constants={};Object.keys(na).forEach(function(Pt){Rt[Pt]=at.def(JSON.stringify(na[Pt]))}),Ve.invoke=function(Pt,ht){switch(ht.type){case Yn:var cr=[\"this\",Ot.context,Ot.props,Ve.batchId];return Pt.def(et(ht.data),\".call(\",cr.slice(0,Math.max(ht.data.length+1,4)),\")\");case zn:return Pt.def(Ot.props,ht.data);case Ka:return Pt.def(Ot.context,ht.data);case bo:return Pt.def(\"this\",ht.data);case Xo:return ht.data.append(Ve,Pt),ht.data.ref;case Ms:return ht.data.toString();case os:return ht.data.map(function(br){return Ve.invoke(Pt,br)})}},Ve.attribCache={};var mt={};return Ve.scopeAttrib=function(Pt){var ht=xt.id(Pt);if(ht in mt)return mt[ht];var cr=Oi.scope[ht];cr||(cr=Oi.scope[ht]=new Yr);var br=mt[ht]=et(cr);return br},Ve}function ra(Ve){var et=Ve.static,at=Ve.dynamic,kt;if(le in et){var Ot=!!et[le];kt=Cn(function(Bt,Rt){return Ot}),kt.enable=Ot}else if(le in at){var It=at[le];kt=Nn(It,function(Bt,Rt){return Bt.invoke(Rt,It)})}return kt}function oa(Ve,et){var at=Ve.static,kt=Ve.dynamic;if(qe in at){var Ot=at[qe];return Ot?(Ot=mi.getFramebuffer(Ot),Cn(function(Bt,Rt){var mt=Bt.link(Ot),Pt=Bt.shared;Rt.set(Pt.framebuffer,\".next\",mt);var ht=Pt.context;return Rt.set(ht,\".\"+Be,mt+\".width\"),Rt.set(ht,\".\"+tt,mt+\".height\"),mt})):Cn(function(Bt,Rt){var mt=Bt.shared;Rt.set(mt.framebuffer,\".next\",\"null\");var Pt=mt.context;return Rt.set(Pt,\".\"+Be,Pt+\".\"+Ht),Rt.set(Pt,\".\"+tt,Pt+\".\"+rr),\"null\"})}else if(qe in kt){var It=kt[qe];return Nn(It,function(Bt,Rt){var mt=Bt.invoke(Rt,It),Pt=Bt.shared,ht=Pt.framebuffer,cr=Rt.def(ht,\".getFramebuffer(\",mt,\")\");Rt.set(ht,\".next\",cr);var br=Pt.context;return Rt.set(br,\".\"+Be,cr+\"?\"+cr+\".width:\"+br+\".\"+Ht),Rt.set(br,\".\"+tt,cr+\"?\"+cr+\".height:\"+br+\".\"+rr),cr})}else return null}function wa(Ve,et,at){var kt=Ve.static,Ot=Ve.dynamic;function It(mt){if(mt in kt){var Pt=kt[mt],ht=!0,cr=Pt.x|0,br=Pt.y|0,Nr,Ri;return\"width\"in Pt?Nr=Pt.width|0:ht=!1,\"height\"in Pt?Ri=Pt.height|0:ht=!1,new ti(!ht&&et&&et.thisDep,!ht&&et&&et.contextDep,!ht&&et&&et.propDep,function(gn,tn){var Ci=gn.shared.context,qi=Nr;\"width\"in Pt||(qi=tn.def(Ci,\".\",Be,\"-\",cr));var Vi=Ri;return\"height\"in Pt||(Vi=tn.def(Ci,\".\",tt,\"-\",br)),[cr,br,qi,Vi]})}else if(mt in Ot){var hi=Ot[mt],wi=Nn(hi,function(gn,tn){var Ci=gn.invoke(tn,hi),qi=gn.shared.context,Vi=tn.def(Ci,\".x|0\"),on=tn.def(Ci,\".y|0\"),On=tn.def('\"width\" in ',Ci,\"?\",Ci,\".width|0:\",\"(\",qi,\".\",Be,\"-\",Vi,\")\"),Ja=tn.def('\"height\" in ',Ci,\"?\",Ci,\".height|0:\",\"(\",qi,\".\",tt,\"-\",on,\")\");return[Vi,on,On,Ja]});return et&&(wi.thisDep=wi.thisDep||et.thisDep,wi.contextDep=wi.contextDep||et.contextDep,wi.propDep=wi.propDep||et.propDep),wi}else return et?new ti(et.thisDep,et.contextDep,et.propDep,function(gn,tn){var Ci=gn.shared.context;return[0,0,tn.def(Ci,\".\",Be),tn.def(Ci,\".\",tt)]}):null}var Bt=It(ee);if(Bt){var Rt=Bt;Bt=new ti(Bt.thisDep,Bt.contextDep,Bt.propDep,function(mt,Pt){var ht=Rt.append(mt,Pt),cr=mt.shared.context;return Pt.set(cr,\".\"+We,ht[2]),Pt.set(cr,\".\"+it,ht[3]),ht})}return{viewport:Bt,scissor_box:It(Q)}}function ns(Ve,et){var at=Ve.static,kt=typeof at[ot]==\"string\"&&typeof at[Xe]==\"string\";if(kt){if(Object.keys(et.dynamic).length>0)return null;var Ot=et.static,It=Object.keys(Ot);if(It.length>0&&typeof Ot[It[0]]==\"number\"){for(var Bt=[],Rt=0;Rt<It.length;++Rt)Bt.push([Ot[It[Rt]]|0,It[Rt]]);return Bt}}return null}function Ys(Ve,et,at){var kt=Ve.static,Ot=Ve.dynamic;function It(ht){if(ht in kt){var cr=xt.id(kt[ht]),br=Cn(function(){return cr});return br.id=cr,br}else if(ht in Ot){var Nr=Ot[ht];return Nn(Nr,function(Ri,hi){var wi=Ri.invoke(hi,Nr),gn=hi.def(Ri.shared.strings,\".id(\",wi,\")\");return gn})}return null}var Bt=It(ot),Rt=It(Xe),mt=null,Pt;return Rn(Bt)&&Rn(Rt)?(mt=Mi.program(Rt.id,Bt.id,null,at),Pt=Cn(function(ht,cr){return ht.link(mt)})):Pt=new ti(Bt&&Bt.thisDep||Rt&&Rt.thisDep,Bt&&Bt.contextDep||Rt&&Rt.contextDep,Bt&&Bt.propDep||Rt&&Rt.propDep,function(ht,cr){var br=ht.shared.shader,Nr;Bt?Nr=Bt.append(ht,cr):Nr=cr.def(br,\".\",ot);var Ri;Rt?Ri=Rt.append(ht,cr):Ri=cr.def(br,\".\",Xe);var hi=br+\".program(\"+Ri+\",\"+Nr;return cr.def(hi+\")\")}),{frag:Bt,vert:Rt,progVar:Pt,program:mt}}function Va(Ve,et){var at=Ve.static,kt=Ve.dynamic,Ot={},It=!1;function Bt(){if(ve in at){var tn=at[ve];return tn!==null&&Oi.getVAO(tn)===null&&(tn=Oi.createVAO(tn)),It=!0,Ot.vao=tn,Cn(function(qi){var Vi=Oi.getVAO(tn);return Vi?qi.link(Vi):\"null\"})}else if(ve in kt){It=!0;var Ci=kt[ve];return Nn(Ci,function(qi,Vi){var on=qi.invoke(Vi,Ci);return Vi.def(qi.shared.vao+\".getVAO(\"+on+\")\")})}return null}var Rt=Bt(),mt=!1;function Pt(){if(Tt in at){var tn=at[Tt];if(Ot.elements=tn,Pi(tn)){var Ci=Ot.elements=Br.create(tn,!0);tn=Br.getElements(Ci),mt=!0}else tn&&(tn=Br.getElements(tn),mt=!0);var qi=Cn(function(on,On){if(tn){var Ja=on.link(tn);return on.ELEMENTS=Ja,Ja}return on.ELEMENTS=null,null});return qi.value=tn,qi}else if(Tt in kt){mt=!0;var Vi=kt[Tt];return Nn(Vi,function(on,On){var Ja=on.shared,co=Ja.isBufferArgs,rs=Ja.elements,so=on.invoke(On,Vi),Zo=On.def(\"null\"),ys=On.def(co,\"(\",so,\")\"),su=on.cond(ys).then(Zo,\"=\",rs,\".createStream(\",so,\");\").else(Zo,\"=\",rs,\".getElements(\",so,\");\");return On.entry(su),On.exit(on.cond(ys).then(rs,\".destroyStream(\",Zo,\");\")),on.ELEMENTS=Zo,Zo})}else if(It)return new ti(Rt.thisDep,Rt.contextDep,Rt.propDep,function(on,On){return On.def(on.shared.vao+\".currentVAO?\"+on.shared.elements+\".getElements(\"+on.shared.vao+\".currentVAO.elements):null\")});return null}var ht=Pt();function cr(){if(Kt in at){var tn=at[Kt];return Ot.primitive=tn,Cn(function(qi,Vi){return Mn[tn]})}else if(Kt in kt){var Ci=kt[Kt];return Nn(Ci,function(qi,Vi){var on=qi.constants.primTypes,On=qi.invoke(Vi,Ci);return Vi.def(on,\"[\",On,\"]\")})}else{if(mt)return Rn(ht)?ht.value?Cn(function(qi,Vi){return Vi.def(qi.ELEMENTS,\".primType\")}):Cn(function(){return Al}):new ti(ht.thisDep,ht.contextDep,ht.propDep,function(qi,Vi){var on=qi.ELEMENTS;return Vi.def(on,\"?\",on,\".primType:\",Al)});if(It)return new ti(Rt.thisDep,Rt.contextDep,Rt.propDep,function(qi,Vi){return Vi.def(qi.shared.vao+\".currentVAO?\"+qi.shared.vao+\".currentVAO.primitive:\"+Al)})}return null}function br(tn,Ci){if(tn in at){var qi=at[tn]|0;return Ci?Ot.offset=qi:Ot.instances=qi,Cn(function(on,On){return Ci&&(on.OFFSET=qi),qi})}else if(tn in kt){var Vi=kt[tn];return Nn(Vi,function(on,On){var Ja=on.invoke(On,Vi);return Ci&&(on.OFFSET=Ja),Ja})}else if(Ci){if(mt)return Cn(function(on,On){return on.OFFSET=0,0});if(It)return new ti(Rt.thisDep,Rt.contextDep,Rt.propDep,function(on,On){return On.def(on.shared.vao+\".currentVAO?\"+on.shared.vao+\".currentVAO.offset:0\")})}else if(It)return new ti(Rt.thisDep,Rt.contextDep,Rt.propDep,function(on,On){return On.def(on.shared.vao+\".currentVAO?\"+on.shared.vao+\".currentVAO.instances:-1\")});return null}var Nr=br(xr,!0);function Ri(){if(Jt in at){var tn=at[Jt]|0;return Ot.count=tn,Cn(function(){return tn})}else if(Jt in kt){var Ci=kt[Jt];return Nn(Ci,function(On,Ja){var co=On.invoke(Ja,Ci);return co})}else if(mt)if(Rn(ht)){if(ht)return Nr?new ti(Nr.thisDep,Nr.contextDep,Nr.propDep,function(On,Ja){var co=Ja.def(On.ELEMENTS,\".vertCount-\",On.OFFSET);return co}):Cn(function(On,Ja){return Ja.def(On.ELEMENTS,\".vertCount\")});var qi=Cn(function(){return-1});return qi}else{var Vi=new ti(ht.thisDep||Nr.thisDep,ht.contextDep||Nr.contextDep,ht.propDep||Nr.propDep,function(On,Ja){var co=On.ELEMENTS;return On.OFFSET?Ja.def(co,\"?\",co,\".vertCount-\",On.OFFSET,\":-1\"):Ja.def(co,\"?\",co,\".vertCount:-1\")});return Vi}else if(It){var on=new ti(Rt.thisDep,Rt.contextDep,Rt.propDep,function(On,Ja){return Ja.def(On.shared.vao,\".currentVAO?\",On.shared.vao,\".currentVAO.count:-1\")});return on}return null}var hi=cr(),wi=Ri(),gn=br(Pr,!1);return{elements:ht,primitive:hi,count:wi,instances:gn,offset:Nr,vao:Rt,vaoActive:It,elementsActive:mt,static:Ot}}function Ml(Ve,et){var at=Ve.static,kt=Ve.dynamic,Ot={};return vi.forEach(function(It){var Bt=Ki(It);function Rt(mt,Pt){if(It in at){var ht=mt(at[It]);Ot[Bt]=Cn(function(){return ht})}else if(It in kt){var cr=kt[It];Ot[Bt]=Nn(cr,function(br,Nr){return Pt(br,Nr,br.invoke(Nr,cr))})}}switch(It){case ku:case Ho:case Ts:case Vc:case va:case B:case Uc:case Ac:case Ua:case is:return Rt(function(mt){return mt},function(mt,Pt,ht){return ht});case no:return Rt(function(mt){return Xr[mt]},function(mt,Pt,ht){var cr=mt.constants.compareFuncs;return Pt.def(cr,\"[\",ht,\"]\")});case _s:return Rt(function(mt){return mt},function(mt,Pt,ht){var cr=Pt.def(\"+\",ht,\"[0]\"),br=Pt.def(\"+\",ht,\"[1]\");return[cr,br]});case Ps:return Rt(function(mt){var Pt=\"srcRGB\"in mt?mt.srcRGB:mt.src,ht=\"srcAlpha\"in mt?mt.srcAlpha:mt.src,cr=\"dstRGB\"in mt?mt.dstRGB:mt.dst,br=\"dstAlpha\"in mt?mt.dstAlpha:mt.dst;return[bi[Pt],bi[cr],bi[ht],bi[br]]},function(mt,Pt,ht){var cr=mt.constants.blendFuncs;function br(Ci,qi){var Vi=Pt.def('\"',Ci,qi,'\" in ',ht,\"?\",ht,\".\",Ci,qi,\":\",ht,\".\",Ci);return Vi}var Nr=br(\"src\",\"RGB\"),Ri=br(\"dst\",\"RGB\"),hi=Pt.def(cr,\"[\",Nr,\"]\"),wi=Pt.def(cr,\"[\",br(\"src\",\"Alpha\"),\"]\"),gn=Pt.def(cr,\"[\",Ri,\"]\"),tn=Pt.def(cr,\"[\",br(\"dst\",\"Alpha\"),\"]\");return[hi,gn,wi,tn]});case Xs:return Rt(function(mt){if(typeof mt==\"string\")return[xi[mt],xi[mt]];if(typeof mt==\"object\")return[xi[mt.rgb],xi[mt.alpha]]},function(mt,Pt,ht){var cr=mt.constants.blendEquations,br=Pt.def(),Nr=Pt.def(),Ri=mt.cond(\"typeof \",ht,'===\"string\"');return Ri.then(br,\"=\",Nr,\"=\",cr,\"[\",ht,\"];\"),Ri.else(br,\"=\",cr,\"[\",ht,\".rgb];\",Nr,\"=\",cr,\"[\",ht,\".alpha];\"),Pt(Ri),[br,Nr]});case yl:return Rt(function(mt){return M(4,function(Pt){return+mt[Pt]})},function(mt,Pt,ht){return M(4,function(cr){return Pt.def(\"+\",ht,\"[\",cr,\"]\")})});case hc:return Rt(function(mt){return mt|0},function(mt,Pt,ht){return Pt.def(ht,\"|0\")});case Ku:return Rt(function(mt){var Pt=mt.cmp||\"keep\",ht=mt.ref||0,cr=\"mask\"in mt?mt.mask:-1;return[Xr[Pt],ht,cr]},function(mt,Pt,ht){var cr=mt.constants.compareFuncs,br=Pt.def('\"cmp\" in ',ht,\"?\",cr,\"[\",ht,\".cmp]\",\":\",nt),Nr=Pt.def(ht,\".ref|0\"),Ri=Pt.def('\"mask\" in ',ht,\"?\",ht,\".mask|0:-1\");return[br,Nr,Ri]});case ue:case w:return Rt(function(mt){var Pt=mt.fail||\"keep\",ht=mt.zfail||\"keep\",cr=mt.zpass||\"keep\";return[It===w?se:X,ni[Pt],ni[ht],ni[cr]]},function(mt,Pt,ht){var cr=mt.constants.stencilOps;function br(Nr){return Pt.def('\"',Nr,'\" in ',ht,\"?\",cr,\"[\",ht,\".\",Nr,\"]:\",nt)}return[It===w?se:X,br(\"fail\"),br(\"zfail\"),br(\"zpass\")]});case xu:return Rt(function(mt){var Pt=mt.factor|0,ht=mt.units|0;return[Pt,ht]},function(mt,Pt,ht){var cr=Pt.def(ht,\".factor|0\"),br=Pt.def(ht,\".units|0\");return[cr,br]});case Yu:return Rt(function(mt){var Pt=0;return mt===\"front\"?Pt=X:mt===\"back\"&&(Pt=se),Pt},function(mt,Pt,ht){return Pt.def(ht,'===\"front\"?',X,\":\",se)});case gu:return Rt(function(mt){return mt},function(mt,Pt,ht){return ht});case Nc:return Rt(function(mt){return gi[mt]},function(mt,Pt,ht){return Pt.def(ht+'===\"cw\"?'+Te+\":\"+Ne)});case $l:return Rt(function(mt){return mt.map(function(Pt){return!!Pt})},function(mt,Pt,ht){return M(4,function(cr){return\"!!\"+ht+\"[\"+cr+\"]\"})});case oo:return Rt(function(mt){var Pt=\"value\"in mt?mt.value:1,ht=!!mt.invert;return[Pt,ht]},function(mt,Pt,ht){var cr=Pt.def('\"value\" in ',ht,\"?+\",ht,\".value:1\"),br=Pt.def(\"!!\",ht,\".invert\");return[cr,br]})}}),Ot}function zo(Ve,et){var at=Ve.static,kt=Ve.dynamic,Ot={};return Object.keys(at).forEach(function(It){var Bt=at[It],Rt;if(typeof Bt==\"number\"||typeof Bt==\"boolean\")Rt=Cn(function(){return Bt});else if(typeof Bt==\"function\"){var mt=Bt._reglType;mt===\"texture2d\"||mt===\"textureCube\"?Rt=Cn(function(Pt){return Pt.link(Bt)}):(mt===\"framebuffer\"||mt===\"framebufferCube\")&&(Rt=Cn(function(Pt){return Pt.link(Bt.color[0])}))}else En(Bt)&&(Rt=Cn(function(Pt){var ht=Pt.global.def(\"[\",M(Bt.length,function(cr){return Bt[cr]}),\"]\");return ht}));Rt.value=Bt,Ot[It]=Rt}),Object.keys(kt).forEach(function(It){var Bt=kt[It];Ot[It]=Nn(Bt,function(Rt,mt){return Rt.invoke(mt,Bt)})}),Ot}function el(Ve,et){var at=Ve.static,kt=Ve.dynamic,Ot={};return Object.keys(at).forEach(function(It){var Bt=at[It],Rt=xt.id(It),mt=new Yr;if(Pi(Bt))mt.state=La,mt.buffer=Hr.getBuffer(Hr.create(Bt,Sr,!1,!0)),mt.type=0;else{var Pt=Hr.getBuffer(Bt);if(Pt)mt.state=La,mt.buffer=Pt,mt.type=0;else if(\"constant\"in Bt){var ht=Bt.constant;mt.buffer=\"null\",mt.state=Na,typeof ht==\"number\"?mt.x=ht:ka.forEach(function(gn,tn){tn<ht.length&&(mt[gn]=ht[tn])})}else{Pi(Bt.buffer)?Pt=Hr.getBuffer(Hr.create(Bt.buffer,Sr,!1,!0)):Pt=Hr.getBuffer(Bt.buffer);var cr=Bt.offset|0,br=Bt.stride|0,Nr=Bt.size|0,Ri=!!Bt.normalized,hi=0;\"type\"in Bt&&(hi=Hi[Bt.type]);var wi=Bt.divisor|0;mt.buffer=Pt,mt.state=La,mt.size=Nr,mt.normalized=Ri,mt.type=hi||Pt.dtype,mt.offset=cr,mt.stride=br,mt.divisor=wi}}Ot[It]=Cn(function(gn,tn){var Ci=gn.attribCache;if(Rt in Ci)return Ci[Rt];var qi={isStream:!1};return Object.keys(mt).forEach(function(Vi){qi[Vi]=mt[Vi]}),mt.buffer&&(qi.buffer=gn.link(mt.buffer),qi.type=qi.type||qi.buffer+\".dtype\"),Ci[Rt]=qi,qi})}),Object.keys(kt).forEach(function(It){var Bt=kt[It];function Rt(mt,Pt){var ht=mt.invoke(Pt,Bt),cr=mt.shared,br=mt.constants,Nr=cr.isBufferArgs,Ri=cr.buffer,hi={isStream:Pt.def(!1)},wi=new Yr;wi.state=La,Object.keys(wi).forEach(function(qi){hi[qi]=Pt.def(\"\"+wi[qi])});var gn=hi.buffer,tn=hi.type;Pt(\"if(\",Nr,\"(\",ht,\")){\",hi.isStream,\"=true;\",gn,\"=\",Ri,\".createStream(\",Sr,\",\",ht,\");\",tn,\"=\",gn,\".dtype;\",\"}else{\",gn,\"=\",Ri,\".getBuffer(\",ht,\");\",\"if(\",gn,\"){\",tn,\"=\",gn,\".dtype;\",'}else if(\"constant\" in ',ht,\"){\",hi.state,\"=\",Na,\";\",\"if(typeof \"+ht+'.constant === \"number\"){',hi[ka[0]],\"=\",ht,\".constant;\",ka.slice(1).map(function(qi){return hi[qi]}).join(\"=\"),\"=0;\",\"}else{\",ka.map(function(qi,Vi){return hi[qi]+\"=\"+ht+\".constant.length>\"+Vi+\"?\"+ht+\".constant[\"+Vi+\"]:0;\"}).join(\"\"),\"}}else{\",\"if(\",Nr,\"(\",ht,\".buffer)){\",gn,\"=\",Ri,\".createStream(\",Sr,\",\",ht,\".buffer);\",\"}else{\",gn,\"=\",Ri,\".getBuffer(\",ht,\".buffer);\",\"}\",tn,'=\"type\" in ',ht,\"?\",br.glTypes,\"[\",ht,\".type]:\",gn,\".dtype;\",hi.normalized,\"=!!\",ht,\".normalized;\");function Ci(qi){Pt(hi[qi],\"=\",ht,\".\",qi,\"|0;\")}return Ci(\"size\"),Ci(\"offset\"),Ci(\"stride\"),Ci(\"divisor\"),Pt(\"}}\"),Pt.exit(\"if(\",hi.isStream,\"){\",Ri,\".destroyStream(\",gn,\");\",\"}\"),hi}Ot[It]=Nn(Bt,Rt)}),Ot}function ol(Ve){var et=Ve.static,at=Ve.dynamic,kt={};return Object.keys(et).forEach(function(Ot){var It=et[Ot];kt[Ot]=Cn(function(Bt,Rt){return typeof It==\"number\"||typeof It==\"boolean\"?\"\"+It:Bt.link(It)})}),Object.keys(at).forEach(function(Ot){var It=at[Ot];kt[Ot]=Nn(It,function(Bt,Rt){return Bt.invoke(Rt,It)})}),kt}function Ul(Ve,et,at,kt,Ot){var It=Ve.static,Bt=Ve.dynamic,Rt=ns(Ve,et),mt=oa(Ve,Ot),Pt=wa(Ve,mt,Ot),ht=Va(Ve,Ot),cr=Ml(Ve,Ot),br=Ys(Ve,Ot,Rt);function Nr(Ci){var qi=Pt[Ci];qi&&(cr[Ci]=qi)}Nr(ee),Nr(Ki(Q));var Ri=Object.keys(cr).length>0,hi={framebuffer:mt,draw:ht,shader:br,state:cr,dirty:Ri,scopeVAO:null,drawVAO:null,useVAO:!1,attributes:{}};if(hi.profile=ra(Ve,Ot),hi.uniforms=zo(at,Ot),hi.drawVAO=hi.scopeVAO=ht.vao,!hi.drawVAO&&br.program&&!Rt&&zt.angle_instanced_arrays&&ht.static.elements){var wi=!0,gn=br.program.attributes.map(function(Ci){var qi=et.static[Ci];return wi=wi&&!!qi,qi});if(wi&&gn.length>0){var tn=Oi.getVAO(Oi.createVAO({attributes:gn,elements:ht.static.elements}));hi.drawVAO=new ti(null,null,null,function(Ci,qi){return Ci.link(tn)}),hi.useVAO=!0}}return Rt?hi.useVAO=!0:hi.attributes=el(et,Ot),hi.context=ol(kt,Ot),hi}function ls(Ve,et,at){var kt=Ve.shared,Ot=kt.context,It=Ve.scope();Object.keys(at).forEach(function(Bt){et.save(Ot,\".\"+Bt);var Rt=at[Bt],mt=Rt.append(Ve,et);Array.isArray(mt)?It(Ot,\".\",Bt,\"=[\",mt.join(),\"];\"):It(Ot,\".\",Bt,\"=\",mt,\";\")}),et(It)}function Gs(Ve,et,at,kt){var Ot=Ve.shared,It=Ot.gl,Bt=Ot.framebuffer,Rt;ci&&(Rt=et.def(Ot.extensions,\".webgl_draw_buffers\"));var mt=Ve.constants,Pt=mt.drawBuffer,ht=mt.backBuffer,cr;at?cr=at.append(Ve,et):cr=et.def(Bt,\".next\"),kt||et(\"if(\",cr,\"!==\",Bt,\".cur){\"),et(\"if(\",cr,\"){\",It,\".bindFramebuffer(\",qr,\",\",cr,\".framebuffer);\"),ci&&et(Rt,\".drawBuffersWEBGL(\",Pt,\"[\",cr,\".colorAttachments.length]);\"),et(\"}else{\",It,\".bindFramebuffer(\",qr,\",null);\"),ci&&et(Rt,\".drawBuffersWEBGL(\",ht,\");\"),et(\"}\",Bt,\".cur=\",cr,\";\"),kt||et(\"}\")}function Ks(Ve,et,at){var kt=Ve.shared,Ot=kt.gl,It=Ve.current,Bt=Ve.next,Rt=kt.current,mt=kt.next,Pt=Ve.cond(Rt,\".dirty\");vi.forEach(function(ht){var cr=Ki(ht);if(!(cr in at.state)){var br,Nr;if(cr in Bt){br=Bt[cr],Nr=It[cr];var Ri=M(Xi[cr].length,function(wi){return Pt.def(br,\"[\",wi,\"]\")});Pt(Ve.cond(Ri.map(function(wi,gn){return wi+\"!==\"+Nr+\"[\"+gn+\"]\"}).join(\"||\")).then(Ot,\".\",mn[cr],\"(\",Ri,\");\",Ri.map(function(wi,gn){return Nr+\"[\"+gn+\"]=\"+wi}).join(\";\"),\";\"))}else{br=Pt.def(mt,\".\",cr);var hi=Ve.cond(br,\"!==\",Rt,\".\",cr);Pt(hi),cr in li?hi(Ve.cond(br).then(Ot,\".enable(\",li[cr],\");\").else(Ot,\".disable(\",li[cr],\");\"),Rt,\".\",cr,\"=\",br,\";\"):hi(Ot,\".\",mn[cr],\"(\",br,\");\",Rt,\".\",cr,\"=\",br,\";\")}}}),Object.keys(at.state).length===0&&Pt(Rt,\".dirty=false;\"),et(Pt)}function Ta(Ve,et,at,kt){var Ot=Ve.shared,It=Ve.current,Bt=Ot.current,Rt=Ot.gl,mt;Ai(Object.keys(at)).forEach(function(Pt){var ht=at[Pt];if(!(kt&&!kt(ht))){var cr=ht.append(Ve,et);if(li[Pt]){var 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Ot==\"string\"?Ci(Bt,\".count+=\",Ot,\";\"):Ci(Bt,\".count++;\"),ji&&(kt?(br=et.def(),Ci(br,\"=\",mt,\".getNumPendingQueries();\")):Ci(mt,\".beginQuery(\",Bt,\");\"))}function Ri(Ci){Ci(Bt,\".cpuTime+=\",ht(),\"-\",cr,\";\"),ji&&(kt?Ci(mt,\".pushScopeStats(\",br,\",\",mt,\".getNumPendingQueries(),\",Bt,\");\"):Ci(mt,\".endQuery();\"))}function hi(Ci){var qi=et.def(Rt,\".profile\");et(Rt,\".profile=\",Ci,\";\"),et.exit(Rt,\".profile=\",qi,\";\")}var wi;if(Pt){if(Rn(Pt)){Pt.enable?(Nr(et),Ri(et.exit),hi(\"true\")):hi(\"false\");return}wi=Pt.append(Ve,et),hi(wi)}else wi=et.def(Rt,\".profile\");var gn=Ve.block();Nr(gn),et(\"if(\",wi,\"){\",gn,\"}\");var tn=Ve.block();Ri(tn),et.exit(\"if(\",wi,\"){\",tn,\"}\")}function Y(Ve,et,at,kt,Ot){var It=Ve.shared;function Bt(mt){switch(mt){case ko:case Is:case dl:return 2;case Qa:case As:case Nl:return 3;case mo:case wo:case Lu:return 4;default:return 1}}function Rt(mt,Pt,ht){var cr=It.gl,br=et.def(mt,\".location\"),Nr=et.def(It.attributes,\"[\",br,\"]\"),Ri=ht.state,hi=ht.buffer,wi=[ht.x,ht.y,ht.z,ht.w],gn=[\"buffer\",\"normalized\",\"offset\",\"stride\"];function tn(){et(\"if(!\",Nr,\".buffer){\",cr,\".enableVertexAttribArray(\",br,\");}\");var qi=ht.type,Vi;if(ht.size?Vi=et.def(ht.size,\"||\",Pt):Vi=Pt,et(\"if(\",Nr,\".type!==\",qi,\"||\",Nr,\".size!==\",Vi,\"||\",gn.map(function(On){return Nr+\".\"+On+\"!==\"+ht[On]}).join(\"||\"),\"){\",cr,\".bindBuffer(\",Sr,\",\",hi,\".buffer);\",cr,\".vertexAttribPointer(\",[br,Vi,qi,ht.normalized,ht.stride,ht.offset],\");\",Nr,\".type=\",qi,\";\",Nr,\".size=\",Vi,\";\",gn.map(function(On){return Nr+\".\"+On+\"=\"+ht[On]+\";\"}).join(\"\"),\"}\"),Ii){var on=ht.divisor;et(\"if(\",Nr,\".divisor!==\",on,\"){\",Ve.instancing,\".vertexAttribDivisorANGLE(\",[br,on],\");\",Nr,\".divisor=\",on,\";}\")}}function Ci(){et(\"if(\",Nr,\".buffer){\",cr,\".disableVertexAttribArray(\",br,\");\",Nr,\".buffer=null;\",\"}if(\",ka.map(function(qi,Vi){return Nr+\".\"+qi+\"!==\"+wi[Vi]}).join(\"||\"),\"){\",cr,\".vertexAttrib4f(\",br,\",\",wi,\");\",ka.map(function(qi,Vi){return Nr+\".\"+qi+\"=\"+wi[Vi]+\";\"}).join(\"\"),\"}\")}Ri===La?tn():Ri===Na?Ci():(et(\"if(\",Ri,\"===\",La,\"){\"),tn(),et(\"}else{\"),Ci(),et(\"}\"))}kt.forEach(function(mt){var Pt=mt.name,ht=at.attributes[Pt],cr;if(ht){if(!Ot(ht))return;cr=ht.append(Ve,et)}else{if(!Ot(ia))return;var br=Ve.scopeAttrib(Pt);cr={},Object.keys(new Yr).forEach(function(Nr){cr[Nr]=et.def(br,\".\",Nr)})}Rt(Ve.link(mt),Bt(mt.info.type),cr)})}function D(Ve,et,at,kt,Ot,It){for(var Bt=Ve.shared,Rt=Bt.gl,mt,Pt=0;Pt<kt.length;++Pt){var ht=kt[Pt],cr=ht.name,br=ht.info.type,Nr=at.uniforms[cr],Ri=Ve.link(ht),hi=Ri+\".location\",wi;if(Nr){if(!Ot(Nr))continue;if(Rn(Nr)){var gn=Nr.value;if(br===dc||br===Tl){var tn=Ve.link(gn._texture||gn.color[0]._texture);et(Rt,\".uniform1i(\",hi,\",\",tn+\".bind());\"),et.exit(tn,\".unbind();\")}else if(br===ou||br===$s||br===Ql){var Ci=Ve.global.def(\"new Float32Array([\"+Array.prototype.slice.call(gn)+\"])\"),qi=2;br===$s?qi=3:br===Ql&&(qi=4),et(Rt,\".uniformMatrix\",qi,\"fv(\",hi,\",false,\",Ci,\");\")}else{switch(br){case $a:mt=\"1f\";break;case ko:mt=\"2f\";break;case Qa:mt=\"3f\";break;case mo:mt=\"4f\";break;case To:mt=\"1i\";break;case Bo:mt=\"1i\";break;case dl:mt=\"2i\";break;case Is:mt=\"2i\";break;case Nl:mt=\"3i\";break;case As:mt=\"3i\";break;case Lu:mt=\"4i\";break;case wo:mt=\"4i\";break}et(Rt,\".uniform\",mt,\"(\",hi,\",\",En(gn)?Array.prototype.slice.call(gn):gn,\");\")}continue}else 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Vi?((Vi.contextDep&&kt.contextDynamic||Vi.propDep)&&(On=at),on=Vi.append(Ve,On),Rt.elementsActive&&On(\"if(\"+on+\")\"+It+\".bindBuffer(\"+Or+\",\"+on+\".buffer.buffer);\")):(on=On.def(),On(on,\"=\",Bt,\".\",Tt,\";\",\"if(\",on,\"){\",It,\".bindBuffer(\",Or,\",\",on,\".buffer.buffer);}\",\"else if(\",Ot.vao,\".currentVAO){\",on,\"=\",Ve.shared.elements+\".getElements(\"+Ot.vao,\".currentVAO.elements);\",nn?\"\":\"if(\"+on+\")\"+It+\".bindBuffer(\"+Or+\",\"+on+\".buffer.buffer);\",\"}\")),on}function Pt(){var Vi=Rt.count,on,On=et;return Vi?((Vi.contextDep&&kt.contextDynamic||Vi.propDep)&&(On=at),on=Vi.append(Ve,On)):on=On.def(Bt,\".\",Jt),on}var ht=mt();function cr(Vi){var on=Rt[Vi];return on?on.contextDep&&kt.contextDynamic||on.propDep?on.append(Ve,at):on.append(Ve,et):et.def(Bt,\".\",Vi)}var br=cr(Kt),Nr=cr(xr),Ri=Pt();if(typeof Ri==\"number\"){if(Ri===0)return}else at(\"if(\",Ri,\"){\"),at.exit(\"}\");var hi,wi;Ii&&(hi=cr(Pr),wi=Ve.instancing);var gn=ht+\".type\",tn=Rt.elements&&Rn(Rt.elements)&&!Rt.vaoActive;function Ci(){function Vi(){at(wi,\".drawElementsInstancedANGLE(\",[br,Ri,gn,Nr+\"<<((\"+gn+\"-\"+Ra+\")>>1)\",hi],\");\")}function on(){at(wi,\".drawArraysInstancedANGLE(\",[br,Nr,Ri,hi],\");\")}ht&&ht!==\"null\"?tn?Vi():(at(\"if(\",ht,\"){\"),Vi(),at(\"}else{\"),on(),at(\"}\")):on()}function qi(){function Vi(){at(It+\".drawElements(\"+[br,Ri,gn,Nr+\"<<((\"+gn+\"-\"+Ra+\")>>1)\"]+\");\")}function on(){at(It+\".drawArrays(\"+[br,Nr,Ri]+\");\")}ht&&ht!==\"null\"?tn?Vi():(at(\"if(\",ht,\"){\"),Vi(),at(\"}else{\"),on(),at(\"}\")):on()}Ii&&(typeof hi!=\"number\"||hi>=0)?typeof hi==\"string\"?(at(\"if(\",hi,\">0){\"),Ci(),at(\"}else if(\",hi,\"<0){\"),qi(),at(\"}\")):Ci():qi()}function q(Ve,et,at,kt,Ot){var It=Ln(),Bt=It.proc(\"body\",Ot);return Ii&&(It.instancing=Bt.def(It.shared.extensions,\".angle_instanced_arrays\")),Ve(It,Bt,at,kt),It.compile().body}function K(Ve,et,at,kt){sl(Ve,et),at.useVAO?at.drawVAO?et(Ve.shared.vao,\".setVAO(\",at.drawVAO.append(Ve,et),\");\"):et(Ve.shared.vao,\".setVAO(\",Ve.shared.vao,\".targetVAO);\"):(et(Ve.shared.vao,\".setVAO(null);\"),Y(Ve,et,at,kt.attributes,function(){return!0})),D(Ve,et,at,kt.uniforms,function(){return!0},!1),J(Ve,et,et,at)}function de(Ve,et){var at=Ve.proc(\"draw\",1);sl(Ve,at),ls(Ve,at,et.context),Gs(Ve,at,et.framebuffer),Ks(Ve,at,et),Ta(Ve,at,et.state),io(Ve,at,et,!1,!0);var kt=et.shader.progVar.append(Ve,at);if(at(Ve.shared.gl,\".useProgram(\",kt,\".program);\"),et.shader.program)K(Ve,at,et,et.shader.program);else{at(Ve.shared.vao,\".setVAO(null);\");var Ot=Ve.global.def(\"{}\"),It=at.def(kt,\".id\"),Bt=at.def(Ot,\"[\",It,\"]\");at(Ve.cond(Bt).then(Bt,\".call(this,a0);\").else(Bt,\"=\",Ot,\"[\",It,\"]=\",Ve.link(function(Rt){return 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br(gn){return!cr(gn)}if(at.needsContext&&ls(Ve,ht,at.context),at.needsFramebuffer&&Gs(Ve,ht,at.framebuffer),Ta(Ve,ht,at.state,cr),at.profile&&cr(at.profile)&&io(Ve,ht,at,!1,!0),kt)at.useVAO?at.drawVAO?cr(at.drawVAO)?ht(Ve.shared.vao,\".setVAO(\",at.drawVAO.append(Ve,ht),\");\"):Pt(Ve.shared.vao,\".setVAO(\",at.drawVAO.append(Ve,Pt),\");\"):Pt(Ve.shared.vao,\".setVAO(\",Ve.shared.vao,\".targetVAO);\"):(Pt(Ve.shared.vao,\".setVAO(null);\"),Y(Ve,Pt,at,kt.attributes,br),Y(Ve,ht,at,kt.attributes,cr)),D(Ve,Pt,at,kt.uniforms,br,!1),D(Ve,ht,at,kt.uniforms,cr,!0),J(Ve,Pt,ht,at);else{var Nr=Ve.global.def(\"{}\"),Ri=at.shader.progVar.append(Ve,ht),hi=ht.def(Ri,\".id\"),wi=ht.def(Nr,\"[\",hi,\"]\");ht(Ve.shared.gl,\".useProgram(\",Ri,\".program);\",\"if(!\",wi,\"){\",wi,\"=\",Nr,\"[\",hi,\"]=\",Ve.link(function(gn){return q(ne,Ve,at,gn,2)}),\"(\",Ri,\");}\",wi,\".call(this,a0[\",It,\"],\",It,\");\")}}function Ue(Ve,et){var at=Ve.proc(\"batch\",2);Ve.batchId=\"0\",sl(Ve,at);var kt=!1,Ot=!0;Object.keys(et.context).forEach(function(Nr){kt=kt||et.context[Nr].propDep}),kt||(ls(Ve,at,et.context),Ot=!1);var It=et.framebuffer,Bt=!1;It?(It.propDep?kt=Bt=!0:It.contextDep&&kt&&(Bt=!0),Bt||Gs(Ve,at,It)):Gs(Ve,at,null),et.state.viewport&&et.state.viewport.propDep&&(kt=!0);function Rt(Nr){return Nr.contextDep&&kt||Nr.propDep}Ks(Ve,at,et),Ta(Ve,at,et.state,function(Nr){return!Rt(Nr)}),(!et.profile||!Rt(et.profile))&&io(Ve,at,et,!1,\"a1\"),et.contextDep=kt,et.needsContext=Ot,et.needsFramebuffer=Bt;var mt=et.shader.progVar;if(mt.contextDep&&kt||mt.propDep)we(Ve,at,et,null);else{var Pt=mt.append(Ve,at);if(at(Ve.shared.gl,\".useProgram(\",Pt,\".program);\"),et.shader.program)we(Ve,at,et,et.shader.program);else{at(Ve.shared.vao,\".setVAO(null);\");var ht=Ve.global.def(\"{}\"),cr=at.def(Pt,\".id\"),br=at.def(ht,\"[\",cr,\"]\");at(Ve.cond(br).then(br,\".call(this,a0,a1);\").else(br,\"=\",ht,\"[\",cr,\"]=\",Ve.link(function(Nr){return 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xz,xc=function(t){KNt(t)?(t={regl:t},this.gl=t.regl._gl):this.gl=qNt(t),this.shader=cBe.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||ONt({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(),cBe.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(VNt(t)?t:{})};xc.prototype.createShader=function(){var t=this.regl,r=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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       "\t\t\tprecision highp float;\n",
       "\t\t\tattribute float width, charOffset, char;\n",
       "\t\t\tattribute vec2 position;\n",
       "\t\t\tuniform float fontSize, charStep, em, align, baseline;\n",
       "\t\t\tuniform vec4 viewport;\n",
       "\t\t\tuniform vec4 color;\n",
       "\t\t\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\n",
       "\t\t\tvarying vec2 charCoord, charId;\n",
       "\t\t\tvarying float charWidth;\n",
       "\t\t\tvarying vec4 fontColor;\n",
       "\t\t\tvoid main () {\n",
       "\t\t\t\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 / 255.;\n",
       "\t\t\t}`,frag:`\n",
       "\t\t\tprecision highp float;\n",
       "\t\t\tuniform float fontSize, charStep, opacity;\n",
       "\t\t\tuniform vec2 atlasSize;\n",
       "\t\t\tuniform vec4 viewport;\n",
       "\t\t\tuniform sampler2D atlas;\n",
       "\t\t\tvarying vec4 fontColor;\n",
       "\t\t\tvarying vec2 charCoord, charId;\n",
       "\t\t\tvarying float charWidth;\n",
       "\n",
       "\t\t\tfloat lightness(vec4 color) {\n",
       "\t\t\t\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\n",
       "\t\t\t}\n",
       "\n",
       "\t\t\tvoid main () {\n",
       "\t\t\t\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\n",
       "\t\t\t\tfloat halfCharStep = floor(charStep * .5 + .5);\n",
       "\n",
       "\t\t\t\t// invert y and shift by 1px (FF expecially needs that)\n",
       "\t\t\t\tuv.y = charStep - uv.y;\n",
       "\n",
       "\t\t\t\t// ignore points outside of character bounding box\n",
       "\t\t\t\tfloat halfCharWidth = ceil(charWidth * .5);\n",
       "\t\t\t\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\n",
       "\t\t\t\t\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\n",
       "\n",
       "\t\t\t\tuv += charId * charStep;\n",
       "\t\t\t\tuv = uv / atlasSize;\n",
       "\n",
       "\t\t\t\tvec4 color = fontColor;\n",
       "\t\t\t\tvec4 mask = texture2D(atlas, uv);\n",
       "\n",
       "\t\t\t\tfloat maskY = lightness(mask);\n",
       "\t\t\t\t// float colorY = lightness(color);\n",
       "\t\t\t\tcolor.a *= maskY;\n",
       "\t\t\t\tcolor.a *= opacity;\n",
       "\n",
       "\t\t\t\t// color.a += .1;\n",
       "\n",
       "\t\t\t\t// antialiasing, see yiq color space y-channel formula\n",
       "\t\t\t\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\n",
       "\n",
       "\t\t\t\tgl_FragColor = color;\n",
       "\t\t\t}`}),n={};return{regl:t,draw:r,atlas:n}};xc.prototype.update=function(t){var r=this;if(typeof t==\"string\")t={text:t};else if(!t)return;t=zNt(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0),t.opacity!=null&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map(function(ke){return parseFloat(ke)}):this.opacity=parseFloat(t.opacity)),t.viewport!=null&&(this.viewport=UNt(t.viewport),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),this.viewport==null&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),t.kerning!=null&&(this.kerning=t.kerning),t.offset!=null&&(typeof t.offset==\"number\"&&(t.offset=[t.offset,0]),this.positionOffset=ZNt(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=xc.baseFontSize+\"px sans-serif\");var n=!1,i=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach(function(ke,me){if(typeof ke==\"string\")try{ke=h5.parse(ke)}catch(Ze){ke=h5.parse(xc.baseFontSize+\"px \"+ke)}else{var ie=ke.style,Se=ke.weight,Le=ke.stretch,Ae=ke.variant;ke=h5.parse(h5.stringify(ke)),ie&&(ke.style=ie),Se&&(ke.weight=Se),Le&&(ke.stretch=Le),Ae&&(ke.variant=Ae)}var De=h5.stringify({size:xc.baseFontSize,family:ke.family,stretch:bz?ke.stretch:void 0,variant:ke.variant,weight:ke.weight,style:ke.style}),Pe=GNt(ke.size),ge=Math.round(Pe[0]*HNt(Pe[1]));if(ge!==r.fontSize[me]&&(i=!0,r.fontSize[me]=ge),(!r.font[me]||De!=r.font[me].baseString)&&(n=!0,r.font[me]=xc.fonts[De],!r.font[me])){var Fe=ke.family.join(\", \"),ce=[ke.style];ke.style!=ke.variant&&ce.push(ke.variant),ke.variant!=ke.weight&&ce.push(ke.weight),bz&&ke.weight!=ke.stretch&&ce.push(ke.stretch),r.font[me]={baseString:De,family:Fe,weight:ke.weight,stretch:ke.stretch,style:ke.style,variant:ke.variant,width:{},kerning:{},metrics:XNt(Fe,{origin:\"top\",fontSize:xc.baseFontSize,fontStyle:ce.join(\" \")})},xc.fonts[De]=r.font[me]}}),(n||i)&&this.font.forEach(function(ke,me){var ie=h5.stringify({size:r.fontSize[me],family:ke.family,stretch:bz?ke.stretch:void 0,variant:ke.variant,weight:ke.weight,style:ke.style});if(r.fontAtlas[me]=r.shader.atlas[ie],!r.fontAtlas[me]){var Se=ke.metrics;r.shader.atlas[ie]=r.fontAtlas[me]={fontString:ie,step:Math.ceil(r.fontSize[me]*Se.bottom*.5)*2,em:r.fontSize[me],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:r.regl.texture()}}t.text==null&&(t.text=r.text)}),typeof t.text==\"string\"&&t.position&&t.position.length>2){for(var a=Array(t.position.length*.5),o=0;o<a.length;o++)a[o]=t.text;t.text=a}var s;if(t.text!=null||n){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var l=1;l<t.text.length;l++)this.textOffsets[l]=this.textOffsets[l-1]+t.text[l-1].length,this.count+=t.text[l].length,this.counts.push(t.text[l].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];s=[],this.font.forEach(function(ke,me){xc.atlasContext.font=ke.baseString;for(var ie=r.fontAtlas[me],Se=0;Se<r.text.length;Se++){var Le=r.text.charAt(Se);if(ie.ids[Le]==null&&(ie.ids[Le]=ie.chars.length,ie.chars.push(Le),s.push(Le)),ke.width[Le]==null&&(ke.width[Le]=xc.atlasContext.measureText(Le).width/xc.baseFontSize,r.kerning)){var Ae=[];for(var De in ke.width)Ae.push(De+Le,Le+De);WNt(ke.kerning,jNt(ke.family,{pairs:Ae}))}}})}if(t.position)if(t.position.length>2){for(var u=!t.position[0].length,c=dx.mallocFloat(this.count*2),f=0,h=0;f<this.counts.length;f++){var d=this.counts[f];if(u)for(var v=0;v<d;v++)c[h++]=t.position[f*2],c[h++]=t.position[f*2+1];else for(var x=0;x<d;x++)c[h++]=t.position[f][0],c[h++]=t.position[f][1]}this.position.call?this.position({type:\"float\",data:c}):this.position=this.regl.buffer({type:\"float\",data:c}),dx.freeFloat(c)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||n){var b=dx.mallocUint8(this.count),p=dx.mallocFloat(this.count*2);this.textWidth=[];for(var C=0,E=0;C<this.counts.length;C++){for(var A=this.counts[C],L=this.font[C]||this.font[0],_=this.fontAtlas[C]||this.fontAtlas[0],k=0;k<A;k++){var M=this.text.charAt(E),g=this.text.charAt(E-1);if(b[E]=_.ids[M],p[E*2]=L.width[M],k){var P=p[E*2-2],T=p[E*2],z=p[E*2-1],O=z+P*.5+T*.5;if(this.kerning){var V=L.kerning[g+M];V&&(O+=V*.001)}p[E*2+1]=O}else p[E*2+1]=p[E*2]*.5;E++}this.textWidth.push(p.length?p[E*2-2]*.5+p[E*2-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:b,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:p,type:\"float\",usage:\"stream\"}),dx.freeUint8(b),dx.freeFloat(p),s.length&&this.font.forEach(function(ke,me){var ie=r.fontAtlas[me],Se=ie.step,Le=Math.floor(xc.maxAtlasSize/Se),Ae=Math.min(Le,ie.chars.length),De=Math.ceil(ie.chars.length/Ae),Pe=uBe(Ae*Se),ge=uBe(De*Se);ie.width=Pe,ie.height=ge,ie.rows=De,ie.cols=Ae,ie.em&&ie.texture({data:NNt({canvas:xc.atlasCanvas,font:ie.fontString,chars:ie.chars,shape:[Pe,ge],step:[Se,Se]})})})}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map(function(ke,me){var ie=Array.isArray(r.align)?r.align.length>1?r.align[me]:r.align[0]:r.align;if(typeof ie==\"number\")return ie;switch(ie){case\"right\":case\"end\":return-ke;case\"center\":case\"centre\":case\"middle\":return-ke*.5}return 0})),this.baseline==null&&t.baseline==null&&(t.baseline=0),t.baseline!=null&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map(function(ke,me){var ie=(r.font[me]||r.font[0]).metrics,Se=0;return Se+=ie.bottom*.5,typeof ke==\"number\"?Se+=ke-ie.baseline:Se+=-ie[ke],Se*=-1,Se})),t.color!=null)if(t.color||(t.color=\"transparent\"),typeof t.color==\"string\"||!isNaN(t.color))this.color=oK(t.color,\"uint8\");else{var G;if(typeof t.color[0]==\"number\"&&t.color.length>this.counts.length){var Z=t.color.length;G=dx.mallocUint8(Z);for(var H=(t.color.subarray||t.color.slice).bind(t.color),N=0;N<Z;N+=4)G.set(oK(H(N,N+4),\"uint8\"),N)}else{var j=t.color.length;G=dx.mallocUint8(j*4);for(var re=0;re<j;re++)G.set(oK(t.color[re]||0,\"uint8\"),re*4)}this.color=G}if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity){var oe=this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2;if(oe){var _e=Math.max(this.position.length*.5||0,this.color.length*.25||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,this.positionOffset.length*.5||0);this.batch=Array(_e);for(var Me=0;Me<this.batch.length;Me++)this.batch[Me]={count:this.counts.length>1?this.counts[Me]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[Me]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(Me*4,Me*4+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[Me]:this.opacity,baseline:this.baselineOffset[Me]!=null?this.baselineOffset[Me]:this.baselineOffset[0],align:this.align?this.alignOffset[Me]!=null?this.alignOffset[Me]:this.alignOffset[0]:0,atlas:this.fontAtlas[Me]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(Me*2,Me*2+2):this.positionOffset}}else 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Hr={},Br=0,Vr={uint8:Fa,uint16:da};xt.oes_element_index_uint&&(Vr.uint32=Ga);function mi(si){this.id=Br++,Hr[this.id]=this,this.buffer=si,this.primType=ma,this.vertCount=0,this.type=0}mi.prototype.bind=function(){this.buffer.bind()};var Ni=[];function Oi(si){var Mr=Ni.pop();return Mr||(Mr=new mi(zt.create(null,vo,!0,!1)._buffer)),Hn(Mr,si,jn,-1,-1,0,0),Mr}function Mi(si){Ni.push(si)}function Hn(si,Mr,Yr,xi,Ii,ci,nn){si.buffer.bind();var Xi;if(Mr){var qn=nn;!nn&&(!Wr(Mr)||Ur(Mr)&&!Wr(Mr.data))&&(qn=xt.oes_element_index_uint?Ga:da),zt._initBuffer(si.buffer,Mr,Yr,qn,3)}else Ee.bufferData(vo,ci,Yr),si.buffer.dtype=Xi||Fa,si.buffer.usage=Yr,si.buffer.dimension=3,si.buffer.byteLength=ci;if(Xi=nn,!nn){switch(si.buffer.dtype){case Fa:case Wa:Xi=Fa;break;case da:case Wo:Xi=da;break;case Ga:case Wn:Xi=Ga;break;default:}si.buffer.dtype=Xi}si.type=Xi;var vi=Ii;vi<0&&(vi=si.buffer.byteLength,Xi===da?vi>>=1:Xi===Ga&&(vi>>=2)),si.vertCount=vi;var li=xi;if(xi<0){li=ma;var 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ki=34467,_n=3553,ya=34067,Jn=34069,Ma=6408,_o=6406,No=6407,po=6409,Lo=6410,Co=32854,Fs=32855,zs=36194,ul=32819,cl=32820,Fl=33635,cs=34042,nl=6402,Ss=34041,fl=35904,Js=35906,Os=36193,Io=33776,us=33777,Zl=33778,Su=33779,nc=35986,ws=35987,Fn=34798,_a=35840,Vu=35841,zl=35842,xo=35843,Yl=36196,Us=5121,Hl=5123,ac=5125,aa=5126,Oo=10242,qo=10243,Ol=10497,Pc=33071,Do=33648,rf=10240,Uf=10241,ml=9728,Zc=9729,Kl=9984,qs=9985,yu=9986,oc=9987,Cf=33170,sc=4352,Nh=4353,kf=4354,fs=34046,nf=3317,Vf=37440,Jl=37441,hl=37443,lc=37444,Fu=33984,Cs=[Kl,yu,qs,oc],js=[0,po,Lo,No,Ma],Go={};Go[po]=Go[_o]=Go[nl]=1,Go[Ss]=Go[Lo]=2,Go[No]=Go[fl]=3,Go[Ma]=Go[Js]=4;function gs(Ee){return\"[object \"+Ee+\"]\"}var uc=gs(\"HTMLCanvasElement\"),xl=gs(\"OffscreenCanvas\"),Gu=gs(\"CanvasRenderingContext2D\"),Bs=gs(\"ImageBitmap\"),ad=gs(\"HTMLImageElement\"),Po=gs(\"HTMLVideoElement\"),od=Object.keys(Ce).concat([uc,xl,Gu,Bs,ad,Po]),Yo=[];Yo[Us]=1,Yo[aa]=4,Yo[Os]=2,Yo[Hl]=2,Yo[ac]=4;var 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Rt=ne.width||Ue[0].length,mt=ne.height||Ue.length,Pt=ne.channels;En(Ue[0][0])?Pt=Pt||Ue[0][0].length:Pt=Pt||1;for(var ht=Ge.shape(Ue),cr=1,br=0;br<ht.length;++br)cr*=ht[br];var Nr=th(ne,cr);Ge.flatten(Ue,ht,\"\",Nr),ju(ne,Nr),ne.alignment=1,ne.width=Rt,ne.height=mt,ne.channels=Pt,ne.format=ne.internalformat=js[Pt],ne.needsFree=!0}ne.type===aa||ne.type}function vn(ne,we,Ue){var ft=ne.element,Zt=ne.data,hr=ne.internalformat,qt=ne.format,Ve=ne.type,et=ne.width,at=ne.height;Ki(ne),ft?Ee.texImage2D(we,Ue,qt,qt,Ve,ft):ne.compressed?Ee.compressedTexImage2D(we,Ue,hr,et,at,0,Zt):ne.needsCopy?(Ir(),Ee.copyTexImage2D(we,Ue,qt,ne.xOffset,ne.yOffset,et,at,0)):Ee.texImage2D(we,Ue,qt,et,at,0,qt,Ve,Zt||null)}function Un(ne,we,Ue,ft,Zt){var hr=ne.element,qt=ne.data,Ve=ne.internalformat,et=ne.format,at=ne.type,kt=ne.width,Ot=ne.height;Ki(ne),hr?Ee.texSubImage2D(we,Zt,Ue,ft,et,at,hr):ne.compressed?Ee.compressedTexSubImage2D(we,Zt,Ue,ft,Ve,kt,Ot,qt):ne.needsCopy?(Ir(),Ee.copyTexSubImage2D(we,Zt,Ue,ft,ne.xOffset,ne.yOffset,kt,Ot)):Ee.texSubImage2D(we,Zt,Ue,ft,kt,Ot,et,at,qt)}var na=[];function Yi(){return na.pop()||new Ui}function Ln(ne){ne.needsFree&&j.freeType(ne.data),Ui.call(ne),na.push(ne)}function ra(){vi.call(this),this.genMipmaps=!1,this.mipmapHint=sc,this.mipmask=0,this.images=Array(16)}function oa(ne,we,Ue){var ft=ne.images[0]=Yi();ne.mipmask=1,ft.width=ne.width=we,ft.height=ne.height=Ue,ft.channels=ne.channels=4}function wa(ne,we){var Ue=null;if(yf(we))Ue=ne.images[0]=Yi(),li(Ue,ne),Bi(Ue,we),ne.mipmask=1;else if(mn(ne,we),Array.isArray(we.mipmap))for(var ft=we.mipmap,Zt=0;Zt<ft.length;++Zt)Ue=ne.images[Zt]=Yi(),li(Ue,ne),Ue.width>>=Zt,Ue.height>>=Zt,Bi(Ue,ft[Zt]),ne.mipmask|=1<<Zt;else Ue=ne.images[0]=Yi(),li(Ue,ne),Bi(Ue,we),ne.mipmask=1;li(ne,ne.images[0]),ne.compressed&&(ne.internalformat===Io||ne.internalformat===us||ne.internalformat===Zl||ne.internalformat)}function ns(ne,we){for(var Ue=ne.images,ft=0;ft<Ue.length;++ft){if(!Ue[ft])return;vn(Ue[ft],we,ft)}}var Ys=[];function Va(){var ne=Ys.pop()||new ra;vi.call(ne),ne.mipmask=0;for(var we=0;we<16;++we)ne.images[we]=null;return ne}function Ml(ne){for(var we=ne.images,Ue=0;Ue<we.length;++Ue)we[Ue]&&Ln(we[Ue]),we[Ue]=null;Ys.push(ne)}function zo(){this.minFilter=ml,this.magFilter=ml,this.wrapS=Pc,this.wrapT=Pc,this.anisotropic=1,this.genMipmaps=!1,this.mipmapHint=sc}function el(ne,we){if(\"min\"in we){var Ue=we.min;ne.minFilter=Mi[Ue],Cs.indexOf(ne.minFilter)>=0&&!(\"faces\"in we)&&(ne.genMipmaps=!0)}if(\"mag\"in we){var ft=we.mag;ne.magFilter=Oi[ft]}var Zt=ne.wrapS,hr=ne.wrapT;if(\"wrap\"in we){var qt=we.wrap;typeof qt==\"string\"?Zt=hr=Ni[qt]:Array.isArray(qt)&&(Zt=Ni[qt[0]],hr=Ni[qt[1]])}else{if(\"wrapS\"in 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Ta(ne){vi.call(this),this.mipmask=0,this.internalformat=Ma,this.id=Ul++,this.refCount=1,this.target=ne,this.texture=Ee.createTexture(),this.unit=-1,this.bindCount=0,this.texInfo=new zo,Vr.profile&&(this.stats={size:0})}function sl(ne){Ee.activeTexture(Fu),Ee.bindTexture(ne.target,ne.texture)}function io(){var ne=Ks[0];ne?Ee.bindTexture(ne.target,ne.texture):Ee.bindTexture(_n,null)}function Y(ne){var we=ne.texture,Ue=ne.unit,ft=ne.target;Ue>=0&&(Ee.activeTexture(Fu+Ue),Ee.bindTexture(ft,null),Ks[Ue]=null),Ee.deleteTexture(we),ne.texture=null,ne.params=null,ne.pixels=null,ne.refCount=0,delete ls[ne.id],Br.textureCount--}e(Ta.prototype,{bind:function(){var ne=this;ne.bindCount+=1;var we=ne.unit;if(we<0){for(var Ue=0;Ue<Gs;++Ue){var ft=Ks[Ue];if(ft){if(ft.bindCount>0)continue;ft.unit=-1}Ks[Ue]=ne,we=Ue;break}we>=Gs,Vr.profile&&Br.maxTextureUnits<we+1&&(Br.maxTextureUnits=we+1),ne.unit=we,Ee.activeTexture(Fu+we),Ee.bindTexture(ne.target,ne.texture)}return we},unbind:function(){this.bindCount-=1},decRef:function(){--this.refCount<=0&&Y(this)}});function D(ne,we){var Ue=new Ta(_n);ls[Ue.id]=Ue,Br.textureCount++;function ft(qt,Ve){var et=Ue.texInfo;zo.call(et);var at=Va();return typeof qt==\"number\"?typeof Ve==\"number\"?oa(at,qt|0,Ve|0):oa(at,qt|0,qt|0):qt?(el(et,qt),wa(at,qt)):oa(at,1,1),et.genMipmaps&&(at.mipmask=(at.width<<1)-1),Ue.mipmask=at.mipmask,li(Ue,at),Ue.internalformat=at.internalformat,ft.width=at.width,ft.height=at.height,sl(Ue),ns(at,_n),ol(et,_n),io(),Ml(at),Vr.profile&&(Ue.stats.size=cc(Ue.internalformat,Ue.type,at.width,at.height,et.genMipmaps,!1)),ft.format=xi[Ue.internalformat],ft.type=Ii[Ue.type],ft.mag=ci[et.magFilter],ft.min=nn[et.minFilter],ft.wrapS=Xi[et.wrapS],ft.wrapT=Xi[et.wrapT],ft}function Zt(qt,Ve,et,at){var kt=Ve|0,Ot=et|0,It=at|0,Bt=Yi();return li(Bt,Ue),Bt.width=0,Bt.height=0,Bi(Bt,qt),Bt.width=Bt.width||(Ue.width>>It)-kt,Bt.height=Bt.height||(Ue.height>>It)-Ot,sl(Ue),Un(Bt,_n,kt,Ot,It),io(),Ln(Bt),ft}function hr(qt,Ve){var et=qt|0,at=Ve|0||et;if(et===Ue.width&&at===Ue.height)return ft;ft.width=Ue.width=et,ft.height=Ue.height=at,sl(Ue);for(var kt=0;Ue.mipmask>>kt;++kt){var Ot=et>>kt,It=at>>kt;if(!Ot||!It)break;Ee.texImage2D(_n,kt,Ue.format,Ot,It,0,Ue.format,Ue.type,null)}return io(),Vr.profile&&(Ue.stats.size=cc(Ue.internalformat,Ue.type,et,at,!1,!1)),ft}return ft(ne,we),ft.subimage=Zt,ft.resize=hr,ft._reglType=\"texture2d\",ft._texture=Ue,Vr.profile&&(ft.stats=Ue.stats),ft.destroy=function(){Ue.decRef()},ft}function J(ne,we,Ue,ft,Zt,hr){var qt=new Ta(ya);ls[qt.id]=qt,Br.cubeCount++;var Ve=new Array(6);function et(Ot,It,Bt,Rt,mt,Pt){var ht,cr=qt.texInfo;for(zo.call(cr),ht=0;ht<6;++ht)Ve[ht]=Va();if(typeof Ot==\"number\"||!Ot){var br=Ot|0||1;for(ht=0;ht<6;++ht)oa(Ve[ht],br,br)}else if(typeof Ot==\"object\")if(It)wa(Ve[0],Ot),wa(Ve[1],It),wa(Ve[2],Bt),wa(Ve[3],Rt),wa(Ve[4],mt),wa(Ve[5],Pt);else if(el(cr,Ot),mn(qt,Ot),\"faces\"in Ot){var Nr=Ot.faces;for(ht=0;ht<6;++ht)li(Ve[ht],qt),wa(Ve[ht],Nr[ht])}else for(ht=0;ht<6;++ht)wa(Ve[ht],Ot);for(li(qt,Ve[0]),cr.genMipmaps?qt.mipmask=(Ve[0].width<<1)-1:qt.mipmask=Ve[0].mipmask,qt.internalformat=Ve[0].internalformat,et.width=Ve[0].width,et.height=Ve[0].height,sl(qt),ht=0;ht<6;++ht)ns(Ve[ht],Jn+ht);for(ol(cr,ya),io(),Vr.profile&&(qt.stats.size=cc(qt.internalformat,qt.type,et.width,et.height,cr.genMipmaps,!0)),et.format=xi[qt.internalformat],et.type=Ii[qt.type],et.mag=ci[cr.magFilter],et.min=nn[cr.minFilter],et.wrapS=Xi[cr.wrapS],et.wrapT=Xi[cr.wrapT],ht=0;ht<6;++ht)Ml(Ve[ht]);return et}function at(Ot,It,Bt,Rt,mt){var Pt=Bt|0,ht=Rt|0,cr=mt|0,br=Yi();return li(br,qt),br.width=0,br.height=0,Bi(br,It),br.width=br.width||(qt.width>>cr)-Pt,br.height=br.height||(qt.height>>cr)-ht,sl(qt),Un(br,Jn+Ot,Pt,ht,cr),io(),Ln(br),et}function kt(Ot){var It=Ot|0;if(It!==qt.width){et.width=qt.width=It,et.height=qt.height=It,sl(qt);for(var Bt=0;Bt<6;++Bt)for(var Rt=0;qt.mipmask>>Rt;++Rt)Ee.texImage2D(Jn+Bt,Rt,qt.format,It>>Rt,It>>Rt,0,qt.format,qt.type,null);return io(),Vr.profile&&(qt.stats.size=cc(qt.internalformat,qt.type,et.width,et.height,!1,!0)),et}}return et(ne,we,Ue,ft,Zt,hr),et.subimage=at,et.resize=kt,et._reglType=\"textureCube\",et._texture=qt,Vr.profile&&(et.stats=qt.stats),et.destroy=function(){qt.decRef()},et}function q(){for(var ne=0;ne<Gs;++ne)Ee.activeTexture(Fu+ne),Ee.bindTexture(_n,null),Ks[ne]=null;dt(ls).forEach(Y),Br.cubeCount=0,Br.textureCount=0}Vr.profile&&(Br.getTotalTextureSize=function(){var ne=0;return Object.keys(ls).forEach(function(we){ne+=ls[we].stats.size}),ne});function K(){for(var ne=0;ne<Gs;++ne){var we=Ks[ne];we&&(we.bindCount=0,we.unit=-1,Ks[ne]=null)}dt(ls).forEach(function(Ue){Ue.texture=Ee.createTexture(),Ee.bindTexture(Ue.target,Ue.texture);for(var ft=0;ft<32;++ft)if((Ue.mipmask&1<<ft)!==0)if(Ue.target===_n)Ee.texImage2D(_n,ft,Ue.internalformat,Ue.width>>ft,Ue.height>>ft,0,Ue.internalformat,Ue.type,null);else for(var Zt=0;Zt<6;++Zt)Ee.texImage2D(Jn+Zt,ft,Ue.internalformat,Ue.width>>ft,Ue.height>>ft,0,Ue.internalformat,Ue.type,null);ol(Ue.texInfo,Ue.target)})}function de(){for(var ne=0;ne<Gs;++ne){var we=Ks[ne];we&&(we.bindCount=0,we.unit=-1,Ks[ne]=null),Ee.activeTexture(Fu+ne),Ee.bindTexture(_n,null),Ee.bindTexture(ya,null)}}return{create2D:D,createCube:J,clear:q,getTexture:function(ne){return null},restore:K,refresh:de}}var Bl=36161,Kc=32854,Rc=32855,ms=36194,jf=33189,Uh=36168,rh=34041,sf=35907,xh=34836,Mu=34842,ih=34843,Ws=[];Ws[Kc]=2,Ws[Rc]=2,Ws[ms]=2,Ws[jf]=2,Ws[Uh]=1,Ws[rh]=4,Ws[sf]=4,Ws[xh]=16,Ws[Mu]=8,Ws[ih]=6;function Eu(Ee,xt,zt){return Ws[Ee]*xt*zt}var Dc=function(Ee,xt,zt,Ir,Hr){var Br={rgba4:Kc,rgb565:ms,\"rgb5 a1\":Rc,depth:jf,stencil:Uh,\"depth 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Ii==\"number\"?(nn=Ii|0,typeof ci==\"number\"?Xi=ci|0:Xi=nn):Ii||(nn=Xi=1);if(!(nn===Mr.width&&Xi===Mr.height&&qn===Mr.format))return Yr.width=Mr.width=nn,Yr.height=Mr.height=Xi,Mr.format=qn,Ee.bindRenderbuffer(Bl,Mr.renderbuffer),Ee.renderbufferStorage(Bl,qn,nn,Xi),Hr.profile&&(Mr.stats.size=Eu(Mr.format,Mr.width,Mr.height)),Yr.format=Vr[Mr.format],Yr}function xi(Ii,ci){var nn=Ii|0,Xi=ci|0||nn;return nn===Mr.width&&Xi===Mr.height||(Yr.width=Mr.width=nn,Yr.height=Mr.height=Xi,Ee.bindRenderbuffer(Bl,Mr.renderbuffer),Ee.renderbufferStorage(Bl,Mr.format,nn,Xi),Hr.profile&&(Mr.stats.size=Eu(Mr.format,Mr.width,Mr.height))),Yr}return Yr(ji,si),Yr.resize=xi,Yr._reglType=\"renderbuffer\",Yr._renderbuffer=Mr,Hr.profile&&(Yr.stats=Mr.stats),Yr.destroy=function(){Mr.decRef()},Yr}Hr.profile&&(Ir.getTotalRenderbufferSize=function(){var ji=0;return Object.keys(Ni).forEach(function(si){ji+=Ni[si].stats.size}),ji});function Qi(){dt(Ni).forEach(function(ji){ji.renderbuffer=Ee.createRenderbuffer(),Ee.bindRenderbuffer(Bl,ji.renderbuffer),Ee.renderbufferStorage(Bl,ji.format,ji.width,ji.height)}),Ee.bindRenderbuffer(Bl,null)}return{create:Hn,clear:function(){dt(Ni).forEach(Mi)},restore:Qi}},ks=36160,bc=36161,du=3553,_u=34069,al=36064,nh=36096,bh=36128,zu=33306,Fc=36053,wc=36193,bd=5121,_f=5126,Lf=6407,Ou=6408,xf=[];xf[Ou]=4,xf[Lf]=3;var jl=[];jl[bd]=1,jl[_f]=4,jl[wc]=2;function lf(Ee,xt,zt,Ir,Hr,Br){var Vr={cur:null,next:null,dirty:!1,setFBO:null},mi=[\"rgba\"],Ni=[\"rgba4\",\"rgb565\",\"rgb5 a1\"];xt.ext_srgb&&Ni.push(\"srgba\"),xt.ext_color_buffer_half_float&&Ni.push(\"rgba16f\",\"rgb16f\"),xt.webgl_color_buffer_float&&Ni.push(\"rgba32f\");var Oi=[\"uint8\"];xt.oes_texture_half_float&&Oi.push(\"half float\",\"float16\"),xt.oes_texture_float&&Oi.push(\"float\",\"float32\");function Mi(Ui,Bi,vn){this.target=Ui,this.texture=Bi,this.renderbuffer=vn;var Un=0,na=0;Bi?(Un=Bi.width,na=Bi.height):vn&&(Un=vn.width,na=vn.height),this.width=Un,this.height=na}function Hn(Ui){Ui&&(Ui.texture&&Ui.texture._texture.decRef(),Ui.renderbuffer&&Ui.renderbuffer._renderbuffer.decRef())}function Qi(Ui,Bi,vn){if(Ui)if(Ui.texture){var Un=Ui.texture._texture,na=Math.max(1,Un.width),Yi=Math.max(1,Un.height);Un.refCount+=1}else{var Ln=Ui.renderbuffer._renderbuffer;Ln.refCount+=1}}function ji(Ui,Bi){Bi&&(Bi.texture?Ee.framebufferTexture2D(ks,Ui,Bi.target,Bi.texture._texture.texture,0):Ee.framebufferRenderbuffer(ks,Ui,bc,Bi.renderbuffer._renderbuffer.renderbuffer))}function si(Ui){var Bi=du,vn=null,Un=null,na=Ui;typeof Ui==\"object\"&&(na=Ui.data,\"target\"in Ui&&(Bi=Ui.target|0));var Yi=na._reglType;return Yi===\"texture2d\"||Yi===\"textureCube\"?vn=na:Yi===\"renderbuffer\"&&(Un=na,Bi=bc),new Mi(Bi,vn,Un)}function Mr(Ui,Bi,vn,Un,na){if(vn){var Yi=Ir.create2D({width:Ui,height:Bi,format:Un,type:na});return Yi._texture.refCount=0,new Mi(du,Yi,null)}else{var Ln=Hr.create({width:Ui,height:Bi,format:Un});return Ln._renderbuffer.refCount=0,new Mi(bc,null,Ln)}}function Yr(Ui){return Ui&&(Ui.texture||Ui.renderbuffer)}function xi(Ui,Bi,vn){Ui&&(Ui.texture?Ui.texture.resize(Bi,vn):Ui.renderbuffer&&Ui.renderbuffer.resize(Bi,vn),Ui.width=Bi,Ui.height=vn)}var Ii=0,ci={};function nn(){this.id=Ii++,ci[this.id]=this,this.framebuffer=Ee.createFramebuffer(),this.width=0,this.height=0,this.colorAttachments=[],this.depthAttachment=null,this.stencilAttachment=null,this.depthStencilAttachment=null}function Xi(Ui){Ui.colorAttachments.forEach(Hn),Hn(Ui.depthAttachment),Hn(Ui.stencilAttachment),Hn(Ui.depthStencilAttachment)}function qn(Ui){var Bi=Ui.framebuffer;Ee.deleteFramebuffer(Bi),Ui.framebuffer=null,Br.framebufferCount--,delete ci[Ui.id]}function vi(Ui){var Bi;Ee.bindFramebuffer(ks,Ui.framebuffer);var vn=Ui.colorAttachments;for(Bi=0;Bi<vn.length;++Bi)ji(al+Bi,vn[Bi]);for(Bi=vn.length;Bi<zt.maxColorAttachments;++Bi)Ee.framebufferTexture2D(ks,al+Bi,du,null,0);Ee.framebufferTexture2D(ks,zu,du,null,0),Ee.framebufferTexture2D(ks,nh,du,null,0),Ee.framebufferTexture2D(ks,bh,du,null,0),ji(nh,Ui.depthAttachment),ji(bh,Ui.stencilAttachment),ji(zu,Ui.depthStencilAttachment);var Un=Ee.checkFramebufferStatus(ks);Ee.isContextLost(),Ee.bindFramebuffer(ks,Vr.next?Vr.next.framebuffer:null),Vr.cur=Vr.next,Ee.getError()}function li(Ui,Bi){var vn=new nn;Br.framebufferCount++;function Un(Yi,Ln){var ra,oa=0,wa=0,ns=!0,Ys=!0,Va=null,Ml=!0,zo=\"rgba\",el=\"uint8\",ol=1,Ul=null,ls=null,Gs=null,Ks=!1;if(typeof Yi==\"number\")oa=Yi|0,wa=Ln|0||oa;else if(!Yi)oa=wa=1;else{var Ta=Yi;if(\"shape\"in Ta){var sl=Ta.shape;oa=sl[0],wa=sl[1]}else\"radius\"in Ta&&(oa=wa=Ta.radius),\"width\"in Ta&&(oa=Ta.width),\"height\"in Ta&&(wa=Ta.height);(\"color\"in Ta||\"colors\"in 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Array(ol),ra=0;ra<ol;++ra)io[ra]=Mr(oa,wa,Ml,zo,el);oa=oa||io[0].width,wa=wa||io[0].height,Ul?Y=si(Ul):ns&&!Ys&&(Y=Mr(oa,wa,Ks,\"depth\",\"uint32\")),ls?D=si(ls):Ys&&!ns&&(D=Mr(oa,wa,!1,\"stencil\",\"uint8\")),Gs?J=si(Gs):!Ul&&!ls&&Ys&&ns&&(J=Mr(oa,wa,Ks,\"depth stencil\",\"depth stencil\"));var q=null;for(ra=0;ra<io.length;++ra)if(Qi(io[ra],oa,wa),io[ra]&&io[ra].texture){var K=xf[io[ra].texture._texture.format]*jl[io[ra].texture._texture.type];q===null&&(q=K)}return Qi(Y,oa,wa),Qi(D,oa,wa),Qi(J,oa,wa),Xi(vn),vn.width=oa,vn.height=wa,vn.colorAttachments=io,vn.depthAttachment=Y,vn.stencilAttachment=D,vn.depthStencilAttachment=J,Un.color=io.map(Yr),Un.depth=Yr(Y),Un.stencil=Yr(D),Un.depthStencil=Yr(J),Un.width=vn.width,Un.height=vn.height,vi(vn),Un}function na(Yi,Ln){var ra=Math.max(Yi|0,1),oa=Math.max(Ln|0||ra,1);if(ra===vn.width&&oa===vn.height)return Un;for(var wa=vn.colorAttachments,ns=0;ns<wa.length;++ns)xi(wa[ns],ra,oa);return xi(vn.depthAttachment,ra,oa),xi(vn.stencilAttachment,ra,oa),xi(vn.depthStencilAttachment,ra,oa),vn.width=Un.width=ra,vn.height=Un.height=oa,vi(vn),Un}return Un(Ui,Bi),e(Un,{resize:na,_reglType:\"framebuffer\",_framebuffer:vn,destroy:function(){qn(vn),Xi(vn)},use:function(Yi){Vr.setFBO({framebuffer:Un},Yi)}})}function mn(Ui){var Bi=Array(6);function vn(na){var Yi,Ln={color:null},ra=0,oa=null,wa=\"rgba\",ns=\"uint8\",Ys=1;if(typeof na==\"number\")ra=na|0;else if(!na)ra=1;else{var Va=na;if(\"shape\"in Va){var Ml=Va.shape;ra=Ml[0]}else\"radius\"in Va&&(ra=Va.radius|0),\"width\"in Va?(ra=Va.width|0,\"height\"in Va):\"height\"in Va&&(ra=Va.height|0);(\"color\"in Va||\"colors\"in Va)&&(oa=Va.color||Va.colors,Array.isArray(oa)),oa||(\"colorCount\"in Va&&(Ys=Va.colorCount|0),\"colorType\"in Va&&(ns=Va.colorType),\"colorFormat\"in Va&&(wa=Va.colorFormat)),\"depth\"in Va&&(Ln.depth=Va.depth),\"stencil\"in Va&&(Ln.stencil=Va.stencil),\"depthStencil\"in Va&&(Ln.depthStencil=Va.depthStencil)}var zo;if(oa)if(Array.isArray(oa))for(zo=[],Yi=0;Yi<oa.length;++Yi)zo[Yi]=oa[Yi];else zo=[oa];else{zo=Array(Ys);var el={radius:ra,format:wa,type:ns};for(Yi=0;Yi<Ys;++Yi)zo[Yi]=Ir.createCube(el)}for(Ln.color=Array(zo.length),Yi=0;Yi<zo.length;++Yi){var ol=zo[Yi];ra=ra||ol.width,Ln.color[Yi]={target:_u,data:zo[Yi]}}for(Yi=0;Yi<6;++Yi){for(var Ul=0;Ul<zo.length;++Ul)Ln.color[Ul].target=_u+Yi;Yi>0&&(Ln.depth=Bi[0].depth,Ln.stencil=Bi[0].stencil,Ln.depthStencil=Bi[0].depthStencil),Bi[Yi]?Bi[Yi](Ln):Bi[Yi]=li(Ln)}return e(vn,{width:ra,height:ra,color:zo})}function Un(na){var Yi,Ln=na|0;if(Ln===vn.width)return vn;var ra=vn.color;for(Yi=0;Yi<ra.length;++Yi)ra[Yi].resize(Ln);for(Yi=0;Yi<6;++Yi)Bi[Yi].resize(Ln);return vn.width=vn.height=Ln,vn}return vn(Ui),e(vn,{faces:Bi,resize:Un,_reglType:\"framebufferCube\",destroy:function(){Bi.forEach(function(na){na.destroy()})}})}function Ki(){Vr.cur=null,Vr.next=null,Vr.dirty=!0,dt(ci).forEach(function(Ui){Ui.framebuffer=Ee.createFramebuffer(),vi(Ui)})}return e(Vr,{getFramebuffer:function(Ui){if(typeof Ui==\"function\"&&Ui._reglType===\"framebuffer\"){var Bi=Ui._framebuffer;if(Bi instanceof nn)return Bi}return null},create:li,createCube:mn,clear:function(){dt(ci).forEach(qn)},restore:Ki})}var Vh=5126,Pf=34962,Ls=34963;function vu(){this.state=0,this.x=0,this.y=0,this.z=0,this.w=0,this.buffer=null,this.size=0,this.normalized=!1,this.type=Vh,this.offset=0,this.stride=0,this.divisor=0}function Cu(Ee,xt,zt,Ir,Hr,Br,Vr){for(var mi=zt.maxAttributes,Ni=new Array(mi),Oi=0;Oi<mi;++Oi)Ni[Oi]=new vu;var Mi=0,Hn={},Qi={Record:vu,scope:{},state:Ni,currentVAO:null,targetVAO:null,restore:si()?Xi:function(){},createVAO:qn,getVAO:Yr,destroyBuffer:ji,setVAO:si()?xi:Ii,clear:si()?ci:function(){}};function ji(vi){for(var li=0;li<Ni.length;++li){var mn=Ni[li];mn.buffer===vi&&(Ee.disableVertexAttribArray(li),mn.buffer=null)}}function si(){return xt.oes_vertex_array_object}function Mr(){return xt.angle_instanced_arrays}function Yr(vi){return typeof vi==\"function\"&&vi._vao?vi._vao:null}function xi(vi){if(vi!==Qi.currentVAO){var li=si();vi?li.bindVertexArrayOES(vi.vao):li.bindVertexArrayOES(null),Qi.currentVAO=vi}}function Ii(vi){if(vi!==Qi.currentVAO){if(vi)vi.bindAttrs();else{for(var li=Mr(),mn=0;mn<Ni.length;++mn){var Ki=Ni[mn];Ki.buffer?(Ee.enableVertexAttribArray(mn),Ki.buffer.bind(),Ee.vertexAttribPointer(mn,Ki.size,Ki.type,Ki.normalized,Ki.stride,Ki.offfset),li&&Ki.divisor&&li.vertexAttribDivisorANGLE(mn,Ki.divisor)):(Ee.disableVertexAttribArray(mn),Ee.vertexAttrib4f(mn,Ki.x,Ki.y,Ki.z,Ki.w))}Vr.elements?Ee.bindBuffer(Ls,Vr.elements.buffer.buffer):Ee.bindBuffer(Ls,null)}Qi.currentVAO=vi}}function ci(){dt(Hn).forEach(function(vi){vi.destroy()})}function nn(){this.id=++Mi,this.attributes=[],this.elements=null,this.ownsElements=!1,this.count=0,this.offset=0,this.instances=-1,this.primitive=4;var vi=si();vi?this.vao=vi.createVertexArrayOES():this.vao=null,Hn[this.id]=this,this.buffers=[]}nn.prototype.bindAttrs=function(){for(var vi=Mr(),li=this.attributes,mn=0;mn<li.length;++mn){var Ki=li[mn];Ki.buffer?(Ee.enableVertexAttribArray(mn),Ee.bindBuffer(Pf,Ki.buffer.buffer),Ee.vertexAttribPointer(mn,Ki.size,Ki.type,Ki.normalized,Ki.stride,Ki.offset),vi&&Ki.divisor&&vi.vertexAttribDivisorANGLE(mn,Ki.divisor)):(Ee.disableVertexAttribArray(mn),Ee.vertexAttrib4f(mn,Ki.x,Ki.y,Ki.z,Ki.w))}for(var Ui=li.length;Ui<mi;++Ui)Ee.disableVertexAttribArray(Ui);var Bi=Br.getElements(this.elements);Bi?Ee.bindBuffer(Ls,Bi.buffer.buffer):Ee.bindBuffer(Ls,null)},nn.prototype.refresh=function(){var vi=si();vi&&(vi.bindVertexArrayOES(this.vao),this.bindAttrs(),Qi.currentVAO=null,vi.bindVertexArrayOES(null))},nn.prototype.destroy=function(){if(this.vao){var vi=si();this===Qi.currentVAO&&(Qi.currentVAO=null,vi.bindVertexArrayOES(null)),vi.deleteVertexArrayOES(this.vao),this.vao=null}this.ownsElements&&(this.elements.destroy(),this.elements=null,this.ownsElements=!1),Hn[this.id]&&(delete Hn[this.id],Ir.vaoCount-=1)};function Xi(){var vi=si();vi&&dt(Hn).forEach(function(li){li.refresh()})}function qn(vi){var li=new nn;Ir.vaoCount+=1;function mn(Ki){var Ui;if(Array.isArray(Ki))Ui=Ki,li.elements&&li.ownsElements&&li.elements.destroy(),li.elements=null,li.ownsElements=!1,li.offset=0,li.count=0,li.instances=-1,li.primitive=4;else{if(Ki.elements){var Bi=Ki.elements;li.ownsElements?typeof Bi==\"function\"&&Bi._reglType===\"elements\"?(li.elements.destroy(),li.ownsElements=!1):(li.elements(Bi),li.ownsElements=!1):Br.getElements(Ki.elements)?(li.elements=Ki.elements,li.ownsElements=!1):(li.elements=Br.create(Ki.elements),li.ownsElements=!0)}else li.elements=null,li.ownsElements=!1;Ui=Ki.attributes,li.offset=0,li.count=-1,li.instances=-1,li.primitive=4,li.elements&&(li.count=li.elements._elements.vertCount,li.primitive=li.elements._elements.primType),\"offset\"in Ki&&(li.offset=Ki.offset|0),\"count\"in Ki&&(li.count=Ki.count|0),\"instances\"in Ki&&(li.instances=Ki.instances|0),\"primitive\"in Ki&&(li.primitive=Mn[Ki.primitive])}var vn={},Un=li.attributes;Un.length=Ui.length;for(var na=0;na<Ui.length;++na){var Yi=Ui[na],Ln=Un[na]=new vu,ra=Yi.data||Yi;if(Array.isArray(ra)||Wr(ra)||Ur(ra)){var oa;li.buffers[na]&&(oa=li.buffers[na],Wr(ra)&&oa._buffer.byteLength>=ra.byteLength?oa.subdata(ra):(oa.destroy(),li.buffers[na]=null)),li.buffers[na]||(oa=li.buffers[na]=Hr.create(Yi,Pf,!1,!0)),Ln.buffer=Hr.getBuffer(oa),Ln.size=Ln.buffer.dimension|0,Ln.normalized=!1,Ln.type=Ln.buffer.dtype,Ln.offset=0,Ln.stride=0,Ln.divisor=0,Ln.state=1,vn[na]=1}else Hr.getBuffer(Yi)?(Ln.buffer=Hr.getBuffer(Yi),Ln.size=Ln.buffer.dimension|0,Ln.normalized=!1,Ln.type=Ln.buffer.dtype,Ln.offset=0,Ln.stride=0,Ln.divisor=0,Ln.state=1):Hr.getBuffer(Yi.buffer)?(Ln.buffer=Hr.getBuffer(Yi.buffer),Ln.size=(+Yi.size||Ln.buffer.dimension)|0,Ln.normalized=!!Yi.normalized||!1,\"type\"in Yi?Ln.type=Hi[Yi.type]:Ln.type=Ln.buffer.dtype,Ln.offset=(Yi.offset||0)|0,Ln.stride=(Yi.stride||0)|0,Ln.divisor=(Yi.divisor||0)|0,Ln.state=1):\"x\"in Yi&&(Ln.x=+Yi.x||0,Ln.y=+Yi.y||0,Ln.z=+Yi.z||0,Ln.w=+Yi.w||0,Ln.state=2)}for(var wa=0;wa<li.buffers.length;++wa)!vn[wa]&&li.buffers[wa]&&(li.buffers[wa].destroy(),li.buffers[wa]=null);return li.refresh(),mn}return mn.destroy=function(){for(var Ki=0;Ki<li.buffers.length;++Ki)li.buffers[Ki]&&li.buffers[Ki].destroy();li.buffers.length=0,li.ownsElements&&(li.elements.destroy(),li.elements=null,li.ownsElements=!1),li.destroy()},mn._vao=li,mn._reglType=\"vao\",mn(vi)}return Qi}var Wf=35632,Vs=35633,bf=35718,zc=35721;function Wu(Ee,xt,zt,Ir){var Hr={},Br={};function Vr(Mr,Yr,xi,Ii){this.name=Mr,this.id=Yr,this.location=xi,this.info=Ii}function mi(Mr,Yr){for(var xi=0;xi<Mr.length;++xi)if(Mr[xi].id===Yr.id){Mr[xi].location=Yr.location;return}Mr.push(Yr)}function Ni(Mr,Yr,xi){var Ii=Mr===Wf?Hr:Br,ci=Ii[Yr];if(!ci){var nn=xt.str(Yr);ci=Ee.createShader(Mr),Ee.shaderSource(ci,nn),Ee.compileShader(ci),Ii[Yr]=ci}return ci}var Oi={},Mi=[],Hn=0;function Qi(Mr,Yr){this.id=Hn++,this.fragId=Mr,this.vertId=Yr,this.program=null,this.uniforms=[],this.attributes=[],this.refCount=1,Ir.profile&&(this.stats={uniformsCount:0,attributesCount:0})}function ji(Mr,Yr,xi){var Ii,ci,nn=Ni(Wf,Mr.fragId),Xi=Ni(Vs,Mr.vertId),qn=Mr.program=Ee.createProgram();if(Ee.attachShader(qn,nn),Ee.attachShader(qn,Xi),xi)for(Ii=0;Ii<xi.length;++Ii){var vi=xi[Ii];Ee.bindAttribLocation(qn,vi[0],vi[1])}Ee.linkProgram(qn);var li=Ee.getProgramParameter(qn,bf);Ir.profile&&(Mr.stats.uniformsCount=li);var mn=Mr.uniforms;for(Ii=0;Ii<li;++Ii)if(ci=Ee.getActiveUniform(qn,Ii),ci)if(ci.size>1)for(var Ki=0;Ki<ci.size;++Ki){var Ui=ci.name.replace(\"[0]\",\"[\"+Ki+\"]\");mi(mn,new Vr(Ui,xt.id(Ui),Ee.getUniformLocation(qn,Ui),ci))}else mi(mn,new Vr(ci.name,xt.id(ci.name),Ee.getUniformLocation(qn,ci.name),ci));var Bi=Ee.getProgramParameter(qn,zc);Ir.profile&&(Mr.stats.attributesCount=Bi);var vn=Mr.attributes;for(Ii=0;Ii<Bi;++Ii)ci=Ee.getActiveAttrib(qn,Ii),ci&&mi(vn,new Vr(ci.name,xt.id(ci.name),Ee.getAttribLocation(qn,ci.name),ci))}Ir.profile&&(zt.getMaxUniformsCount=function(){var Mr=0;return Mi.forEach(function(Yr){Yr.stats.uniformsCount>Mr&&(Mr=Yr.stats.uniformsCount)}),Mr},zt.getMaxAttributesCount=function(){var Mr=0;return Mi.forEach(function(Yr){Yr.stats.attributesCount>Mr&&(Mr=Yr.stats.attributesCount)}),Mr});function si(){Hr={},Br={};for(var Mr=0;Mr<Mi.length;++Mr)ji(Mi[Mr],null,Mi[Mr].attributes.map(function(Yr){return[Yr.location,Yr.name]}))}return{clear:function(){var Mr=Ee.deleteShader.bind(Ee);dt(Hr).forEach(Mr),Hr={},dt(Br).forEach(Mr),Br={},Mi.forEach(function(Yr){Ee.deleteProgram(Yr.program)}),Mi.length=0,Oi={},zt.shaderCount=0},program:function(Mr,Yr,xi,Ii){var ci=Oi[Yr];ci||(ci=Oi[Yr]={});var nn=ci[Mr];if(nn&&(nn.refCount++,!Ii))return nn;var Xi=new Qi(Yr,Mr);return zt.shaderCount++,ji(Xi,xi,Ii),nn||(ci[Mr]=Xi),Mi.push(Xi),e(Xi,{destroy:function(){if(Xi.refCount--,Xi.refCount<=0){Ee.deleteProgram(Xi.program);var qn=Mi.indexOf(Xi);Mi.splice(qn,1),zt.shaderCount--}ci[Xi.vertId].refCount<=0&&(Ee.deleteShader(Br[Xi.vertId]),delete Br[Xi.vertId],delete Oi[Xi.fragId][Xi.vertId]),Object.keys(Oi[Xi.fragId]).length||(Ee.deleteShader(Hr[Xi.fragId]),delete Hr[Xi.fragId],delete Oi[Xi.fragId])}})},restore:si,shader:Ni,frag:-1,vert:-1}}var If=6408,Xu=5121,uf=3333,Xf=5126;function Wl(Ee,xt,zt,Ir,Hr,Br,Vr){function mi(Mi){var Hn;xt.next===null?Hn=Xu:Hn=xt.next.colorAttachments[0].texture._texture.type;var Qi=0,ji=0,si=Ir.framebufferWidth,Mr=Ir.framebufferHeight,Yr=null;Wr(Mi)?Yr=Mi:Mi&&(Qi=Mi.x|0,ji=Mi.y|0,si=(Mi.width||Ir.framebufferWidth-Qi)|0,Mr=(Mi.height||Ir.framebufferHeight-ji)|0,Yr=Mi.data||null),zt();var xi=si*Mr*4;return Yr||(Hn===Xu?Yr=new Uint8Array(xi):Hn===Xf&&(Yr=Yr||new Float32Array(xi))),Ee.pixelStorei(uf,4),Ee.readPixels(Qi,ji,si,Mr,If,Hn,Yr),Yr}function Ni(Mi){var Hn;return xt.setFBO({framebuffer:Mi.framebuffer},function(){Hn=mi(Mi)}),Hn}function Oi(Mi){return!Mi||!(\"framebuffer\"in Mi)?mi(Mi):Ni(Mi)}return Oi}var ah=0,Zu=\"\";function Oc(Ee){return pu(Tc(fc(Ee)))}function Tc(Ee){return At(Zi(Bc(Ee),Ee.length*8))}function wl(Ee,xt){var zt=Bc(Ee);zt.length>16&&(zt=Zi(zt,Ee.length*8));for(var Ir=Array(16),Hr=Array(16),Br=0;Br<16;Br++)Ir[Br]=zt[Br]^909522486,Hr[Br]=zt[Br]^1549556828;var Vr=Zi(Ir.concat(Bc(xt)),512+xt.length*8);return At(Zi(Hr.concat(Vr),768))}function pu(Ee){for(var xt=ah?\"0123456789ABCDEF\":\"0123456789abcdef\",zt=\"\",Ir,Hr=0;Hr<Ee.length;Hr++)Ir=Ee.charCodeAt(Hr),zt+=xt.charAt(Ir>>>4&15)+xt.charAt(Ir&15);return zt}function qc(Ee){for(var xt=\"ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/\",zt=\"\",Ir=Ee.length,Hr=0;Hr<Ir;Hr+=3)for(var Br=Ee.charCodeAt(Hr)<<16|(Hr+1<Ir?Ee.charCodeAt(Hr+1)<<8:0)|(Hr+2<Ir?Ee.charCodeAt(Hr+2):0),Vr=0;Vr<4;Vr++)Hr*8+Vr*6>Ee.length*8?zt+=Zu:zt+=xt.charAt(Br>>>6*(3-Vr)&63);return zt}function cf(Ee,xt){var zt=xt.length,Ir=Array(),Hr,Br,Vr,mi,Ni=Array(Math.ceil(Ee.length/2));for(Hr=0;Hr<Ni.length;Hr++)Ni[Hr]=Ee.charCodeAt(Hr*2)<<8|Ee.charCodeAt(Hr*2+1);for(;Ni.length>0;){for(mi=Array(),Vr=0,Hr=0;Hr<Ni.length;Hr++)Vr=(Vr<<16)+Ni[Hr],Br=Math.floor(Vr/zt),Vr-=Br*zt,(mi.length>0||Br>0)&&(mi[mi.length]=Br);Ir[Ir.length]=Vr,Ni=mi}var Oi=\"\";for(Hr=Ir.length-1;Hr>=0;Hr--)Oi+=xt.charAt(Ir[Hr]);var Mi=Math.ceil(Ee.length*8/(Math.log(xt.length)/Math.log(2)));for(Hr=Oi.length;Hr<Mi;Hr++)Oi=xt[0]+Oi;return Oi}function fc(Ee){for(var xt=\"\",zt=-1,Ir,Hr;++zt<Ee.length;)Ir=Ee.charCodeAt(zt),Hr=zt+1<Ee.length?Ee.charCodeAt(zt+1):0,55296<=Ir&&Ir<=56319&&56320<=Hr&&Hr<=57343&&(Ir=65536+((Ir&1023)<<10)+(Hr&1023),zt++),Ir<=127?xt+=String.fromCharCode(Ir):Ir<=2047?xt+=String.fromCharCode(192|Ir>>>6&31,128|Ir&63):Ir<=65535?xt+=String.fromCharCode(224|Ir>>>12&15,128|Ir>>>6&63,128|Ir&63):Ir<=2097151&&(xt+=String.fromCharCode(240|Ir>>>18&7,128|Ir>>>12&63,128|Ir>>>6&63,128|Ir&63));return xt}function Bc(Ee){for(var xt=Array(Ee.length>>2),zt=0;zt<xt.length;zt++)xt[zt]=0;for(var zt=0;zt<Ee.length*8;zt+=8)xt[zt>>5]|=(Ee.charCodeAt(zt/8)&255)<<24-zt%32;return xt}function At(Ee){for(var xt=\"\",zt=0;zt<Ee.length*32;zt+=8)xt+=String.fromCharCode(Ee[zt>>5]>>>24-zt%32&255);return xt}function Xt(Ee,xt){return Ee>>>xt|Ee<<32-xt}function kr(Ee,xt){return Ee>>>xt}function Ar(Ee,xt,zt){return Ee&xt^~Ee&zt}function Kr(Ee,xt,zt){return Ee&xt^Ee&zt^xt&zt}function Ei(Ee){return Xt(Ee,2)^Xt(Ee,13)^Xt(Ee,22)}function 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Array(1779033703,-1150833019,1013904242,-1521486534,1359893119,-1694144372,528734635,1541459225),Ir=new Array(64),Hr,Br,Vr,mi,Ni,Oi,Mi,Hn,Qi,ji,si,Mr;for(Ee[xt>>5]|=128<<24-xt%32,Ee[(xt+64>>9<<4)+15]=xt,Qi=0;Qi<Ee.length;Qi+=16){for(Hr=zt[0],Br=zt[1],Vr=zt[2],mi=zt[3],Ni=zt[4],Oi=zt[5],Mi=zt[6],Hn=zt[7],ji=0;ji<64;ji++)ji<16?Ir[ji]=Ee[ji+Qi]:Ir[ji]=$i($i($i(Tn(Ir[ji-2]),Ir[ji-7]),hn(Ir[ji-15])),Ir[ji-16]),si=$i($i($i($i(Hn,Wi(Ni)),Ar(Ni,Oi,Mi)),Bn[ji]),Ir[ji]),Mr=$i(Ei(Hr),Kr(Hr,Br,Vr)),Hn=Mi,Mi=Oi,Oi=Ni,Ni=$i(mi,si),mi=Vr,Vr=Br,Br=Hr,Hr=$i(si,Mr);zt[0]=$i(Hr,zt[0]),zt[1]=$i(Br,zt[1]),zt[2]=$i(Vr,zt[2]),zt[3]=$i(mi,zt[3]),zt[4]=$i(Ni,zt[4]),zt[5]=$i(Oi,zt[5]),zt[6]=$i(Mi,zt[6]),zt[7]=$i(Hn,zt[7])}return zt}function $i(Ee,xt){var zt=(Ee&65535)+(xt&65535),Ir=(Ee>>16)+(xt>>16)+(zt>>16);return Ir<<16|zt&65535}function an(Ee){return Array.prototype.slice.call(Ee)}function Di(Ee){return an(Ee).join(\"\")}function $n(Ee){var xt=Ee&&Ee.cache,zt=0,Ir=[],Hr=[],Br=[];function Vr(si,Mr){var 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ti(!1,!1,!1,Ee)}function Nn(Ee,xt){var zt=Ee.type;if(zt===Yn){var Ir=Ee.data.length;return new ti(!0,Ir>=1,Ir>=2,xt)}else if(zt===Xo){var Hr=Ee.data;return new ti(Hr.thisDep,Hr.contextDep,Hr.propDep,xt)}else{if(zt===Ms)return new ti(!1,!1,!1,xt);if(zt===os){for(var Br=!1,Vr=!1,mi=!1,Ni=0;Ni<Ee.data.length;++Ni){var Oi=Ee.data[Ni];if(Oi.type===zn)mi=!0;else if(Oi.type===Ka)Vr=!0;else if(Oi.type===bo)Br=!0;else if(Oi.type===Yn){Br=!0;var Mi=Oi.data;Mi>=1&&(Vr=!0),Mi>=2&&(mi=!0)}else Oi.type===Xo&&(Br=Br||Oi.data.thisDep,Vr=Vr||Oi.data.contextDep,mi=mi||Oi.data.propDep)}return new ti(Br,Vr,mi,xt)}else return new ti(zt===bo,zt===Ka,zt===zn,xt)}}var ia=new ti(!1,!1,!1,function(){});function Ea(Ee,xt,zt,Ir,Hr,Br,Vr,mi,Ni,Oi,Mi,Hn,Qi,ji,si,Mr){var Yr=Oi.Record,xi={add:32774,subtract:32778,\"reverse subtract\":32779};zt.ext_blend_minmax&&(xi.min=He,xi.max=Ye);var Ii=zt.angle_instanced_arrays,ci=zt.webgl_draw_buffers,nn=zt.oes_vertex_array_object,Xi={dirty:!0,profile:Mr.profile},qn={},vi=[],li={},mn={};function Ki(Ve){return Ve.replace(\".\",\"_\")}function Ui(Ve,et,at){var kt=Ki(Ve);vi.push(Ve),qn[kt]=Xi[kt]=!!at,li[kt]=et}function Bi(Ve,et,at){var kt=Ki(Ve);vi.push(Ve),Array.isArray(at)?(Xi[kt]=at.slice(),qn[kt]=at.slice()):Xi[kt]=qn[kt]=at,mn[kt]=et}function vn(Ve){return!!isNaN(Ve)}Ui(Ts,Li),Ui(Ho,ii),Bi(yl,\"blendColor\",[0,0,0,0]),Bi(Xs,\"blendEquationSeparate\",[yr,yr]),Bi(Ps,\"blendFuncSeparate\",[gr,jt,gr,jt]),Ui(va,sn,!0),Bi(no,\"depthFunc\",Gr),Bi(_s,\"depthRange\",[0,1]),Bi(is,\"depthMask\",!0),Bi($l,$l,[!0,!0,!0,!0]),Ui(ku,jr),Bi(Yu,\"cullFace\",se),Bi(Nc,Nc,Ne),Bi(gu,gu,1),Ui(Uc,Kn),Bi(xu,\"polygonOffset\",[0,0]),Ui(Ac,Aa),Ui(Ua,fa),Bi(oo,\"sampleCoverage\",[1,!1]),Ui(Vc,un),Bi(hc,\"stencilMask\",-1),Bi(Ku,\"stencilFunc\",[Ct,0,-1]),Bi(ue,\"stencilOpSeparate\",[X,nt,nt,nt]),Bi(w,\"stencilOpSeparate\",[se,nt,nt,nt]),Ui(B,In),Bi(Q,\"scissor\",[0,0,Ee.drawingBufferWidth,Ee.drawingBufferHeight]),Bi(ee,ee,[0,0,Ee.drawingBufferWidth,Ee.drawingBufferHeight]);var Un={gl:Ee,context:Qi,strings:xt,next:qn,current:Xi,draw:Hn,elements:Br,buffer:Hr,shader:Mi,attributes:Oi.state,vao:Oi,uniforms:Ni,framebuffer:mi,extensions:zt,timer:ji,isBufferArgs:Pi},na={primTypes:Mn,compareFuncs:Xr,blendFuncs:bi,blendEquations:xi,stencilOps:ni,glTypes:Hi,orientationType:gi};ci&&(na.backBuffer=[se],na.drawBuffer=M(Ir.maxDrawbuffers,function(Ve){return Ve===0?[0]:M(Ve,function(et){return _i+et})}));var Yi=0;function Ln(){var Ve=$n({cache:si}),et=Ve.link,at=Ve.global;Ve.id=Yi++,Ve.batchId=\"0\";var kt=et(Un),Ot=Ve.shared={props:\"a0\"};Object.keys(Un).forEach(function(Pt){Ot[Pt]=at.def(kt,\".\",Pt)});var It=Ve.next={},Bt=Ve.current={};Object.keys(mn).forEach(function(Pt){Array.isArray(Xi[Pt])&&(It[Pt]=at.def(Ot.next,\".\",Pt),Bt[Pt]=at.def(Ot.current,\".\",Pt))});var Rt=Ve.constants={};Object.keys(na).forEach(function(Pt){Rt[Pt]=at.def(JSON.stringify(na[Pt]))}),Ve.invoke=function(Pt,ht){switch(ht.type){case Yn:var cr=[\"this\",Ot.context,Ot.props,Ve.batchId];return Pt.def(et(ht.data),\".call(\",cr.slice(0,Math.max(ht.data.length+1,4)),\")\");case zn:return Pt.def(Ot.props,ht.data);case Ka:return Pt.def(Ot.context,ht.data);case bo:return Pt.def(\"this\",ht.data);case Xo:return ht.data.append(Ve,Pt),ht.data.ref;case Ms:return ht.data.toString();case os:return ht.data.map(function(br){return Ve.invoke(Pt,br)})}},Ve.attribCache={};var mt={};return Ve.scopeAttrib=function(Pt){var ht=xt.id(Pt);if(ht in mt)return mt[ht];var cr=Oi.scope[ht];cr||(cr=Oi.scope[ht]=new Yr);var br=mt[ht]=et(cr);return br},Ve}function ra(Ve){var et=Ve.static,at=Ve.dynamic,kt;if(le in et){var Ot=!!et[le];kt=Cn(function(Bt,Rt){return Ot}),kt.enable=Ot}else if(le in at){var It=at[le];kt=Nn(It,function(Bt,Rt){return Bt.invoke(Rt,It)})}return kt}function oa(Ve,et){var at=Ve.static,kt=Ve.dynamic;if(qe in at){var Ot=at[qe];return Ot?(Ot=mi.getFramebuffer(Ot),Cn(function(Bt,Rt){var mt=Bt.link(Ot),Pt=Bt.shared;Rt.set(Pt.framebuffer,\".next\",mt);var ht=Pt.context;return Rt.set(ht,\".\"+Be,mt+\".width\"),Rt.set(ht,\".\"+tt,mt+\".height\"),mt})):Cn(function(Bt,Rt){var mt=Bt.shared;Rt.set(mt.framebuffer,\".next\",\"null\");var Pt=mt.context;return Rt.set(Pt,\".\"+Be,Pt+\".\"+Ht),Rt.set(Pt,\".\"+tt,Pt+\".\"+rr),\"null\"})}else if(qe in kt){var It=kt[qe];return Nn(It,function(Bt,Rt){var mt=Bt.invoke(Rt,It),Pt=Bt.shared,ht=Pt.framebuffer,cr=Rt.def(ht,\".getFramebuffer(\",mt,\")\");Rt.set(ht,\".next\",cr);var br=Pt.context;return Rt.set(br,\".\"+Be,cr+\"?\"+cr+\".width:\"+br+\".\"+Ht),Rt.set(br,\".\"+tt,cr+\"?\"+cr+\".height:\"+br+\".\"+rr),cr})}else return null}function wa(Ve,et,at){var kt=Ve.static,Ot=Ve.dynamic;function It(mt){if(mt in kt){var Pt=kt[mt],ht=!0,cr=Pt.x|0,br=Pt.y|0,Nr,Ri;return\"width\"in Pt?Nr=Pt.width|0:ht=!1,\"height\"in Pt?Ri=Pt.height|0:ht=!1,new ti(!ht&&et&&et.thisDep,!ht&&et&&et.contextDep,!ht&&et&&et.propDep,function(gn,tn){var Ci=gn.shared.context,qi=Nr;\"width\"in Pt||(qi=tn.def(Ci,\".\",Be,\"-\",cr));var Vi=Ri;return\"height\"in 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at[Xe]==\"string\";if(kt){if(Object.keys(et.dynamic).length>0)return null;var Ot=et.static,It=Object.keys(Ot);if(It.length>0&&typeof Ot[It[0]]==\"number\"){for(var Bt=[],Rt=0;Rt<It.length;++Rt)Bt.push([Ot[It[Rt]]|0,It[Rt]]);return Bt}}return null}function Ys(Ve,et,at){var kt=Ve.static,Ot=Ve.dynamic;function It(ht){if(ht in kt){var cr=xt.id(kt[ht]),br=Cn(function(){return cr});return br.id=cr,br}else if(ht in Ot){var Nr=Ot[ht];return Nn(Nr,function(Ri,hi){var wi=Ri.invoke(hi,Nr),gn=hi.def(Ri.shared.strings,\".id(\",wi,\")\");return gn})}return null}var Bt=It(ot),Rt=It(Xe),mt=null,Pt;return Rn(Bt)&&Rn(Rt)?(mt=Mi.program(Rt.id,Bt.id,null,at),Pt=Cn(function(ht,cr){return ht.link(mt)})):Pt=new ti(Bt&&Bt.thisDep||Rt&&Rt.thisDep,Bt&&Bt.contextDep||Rt&&Rt.contextDep,Bt&&Bt.propDep||Rt&&Rt.propDep,function(ht,cr){var br=ht.shared.shader,Nr;Bt?Nr=Bt.append(ht,cr):Nr=cr.def(br,\".\",ot);var Ri;Rt?Ri=Rt.append(ht,cr):Ri=cr.def(br,\".\",Xe);var hi=br+\".program(\"+Ri+\",\"+Nr;return cr.def(hi+\")\")}),{frag:Bt,vert:Rt,progVar:Pt,program:mt}}function Va(Ve,et){var at=Ve.static,kt=Ve.dynamic,Ot={},It=!1;function Bt(){if(ve in at){var tn=at[ve];return tn!==null&&Oi.getVAO(tn)===null&&(tn=Oi.createVAO(tn)),It=!0,Ot.vao=tn,Cn(function(qi){var Vi=Oi.getVAO(tn);return Vi?qi.link(Vi):\"null\"})}else if(ve in kt){It=!0;var Ci=kt[ve];return Nn(Ci,function(qi,Vi){var on=qi.invoke(Vi,Ci);return Vi.def(qi.shared.vao+\".getVAO(\"+on+\")\")})}return null}var Rt=Bt(),mt=!1;function Pt(){if(Tt in at){var tn=at[Tt];if(Ot.elements=tn,Pi(tn)){var Ci=Ot.elements=Br.create(tn,!0);tn=Br.getElements(Ci),mt=!0}else tn&&(tn=Br.getElements(tn),mt=!0);var qi=Cn(function(on,On){if(tn){var Ja=on.link(tn);return on.ELEMENTS=Ja,Ja}return on.ELEMENTS=null,null});return qi.value=tn,qi}else if(Tt in kt){mt=!0;var Vi=kt[Tt];return Nn(Vi,function(on,On){var Ja=on.shared,co=Ja.isBufferArgs,rs=Ja.elements,so=on.invoke(On,Vi),Zo=On.def(\"null\"),ys=On.def(co,\"(\",so,\")\"),su=on.cond(ys).then(Zo,\"=\",rs,\".createStream(\",so,\");\").else(Zo,\"=\",rs,\".getElements(\",so,\");\");return On.entry(su),On.exit(on.cond(ys).then(rs,\".destroyStream(\",Zo,\");\")),on.ELEMENTS=Zo,Zo})}else if(It)return new ti(Rt.thisDep,Rt.contextDep,Rt.propDep,function(on,On){return On.def(on.shared.vao+\".currentVAO?\"+on.shared.elements+\".getElements(\"+on.shared.vao+\".currentVAO.elements):null\")});return null}var ht=Pt();function cr(){if(Kt in at){var tn=at[Kt];return Ot.primitive=tn,Cn(function(qi,Vi){return Mn[tn]})}else if(Kt in kt){var Ci=kt[Kt];return Nn(Ci,function(qi,Vi){var on=qi.constants.primTypes,On=qi.invoke(Vi,Ci);return Vi.def(on,\"[\",On,\"]\")})}else{if(mt)return Rn(ht)?ht.value?Cn(function(qi,Vi){return Vi.def(qi.ELEMENTS,\".primType\")}):Cn(function(){return Al}):new ti(ht.thisDep,ht.contextDep,ht.propDep,function(qi,Vi){var on=qi.ELEMENTS;return Vi.def(on,\"?\",on,\".primType:\",Al)});if(It)return new ti(Rt.thisDep,Rt.contextDep,Rt.propDep,function(qi,Vi){return Vi.def(qi.shared.vao+\".currentVAO?\"+qi.shared.vao+\".currentVAO.primitive:\"+Al)})}return null}function br(tn,Ci){if(tn in at){var qi=at[tn]|0;return Ci?Ot.offset=qi:Ot.instances=qi,Cn(function(on,On){return Ci&&(on.OFFSET=qi),qi})}else if(tn in kt){var Vi=kt[tn];return Nn(Vi,function(on,On){var Ja=on.invoke(On,Vi);return Ci&&(on.OFFSET=Ja),Ja})}else if(Ci){if(mt)return Cn(function(on,On){return on.OFFSET=0,0});if(It)return new ti(Rt.thisDep,Rt.contextDep,Rt.propDep,function(on,On){return On.def(on.shared.vao+\".currentVAO?\"+on.shared.vao+\".currentVAO.offset:0\")})}else if(It)return new ti(Rt.thisDep,Rt.contextDep,Rt.propDep,function(on,On){return On.def(on.shared.vao+\".currentVAO?\"+on.shared.vao+\".currentVAO.instances:-1\")});return null}var Nr=br(xr,!0);function Ri(){if(Jt in at){var tn=at[Jt]|0;return Ot.count=tn,Cn(function(){return tn})}else if(Jt in kt){var Ci=kt[Jt];return Nn(Ci,function(On,Ja){var co=On.invoke(Ja,Ci);return co})}else if(mt)if(Rn(ht)){if(ht)return Nr?new ti(Nr.thisDep,Nr.contextDep,Nr.propDep,function(On,Ja){var co=Ja.def(On.ELEMENTS,\".vertCount-\",On.OFFSET);return co}):Cn(function(On,Ja){return Ja.def(On.ELEMENTS,\".vertCount\")});var qi=Cn(function(){return-1});return qi}else{var Vi=new ti(ht.thisDep||Nr.thisDep,ht.contextDep||Nr.contextDep,ht.propDep||Nr.propDep,function(On,Ja){var co=On.ELEMENTS;return On.OFFSET?Ja.def(co,\"?\",co,\".vertCount-\",On.OFFSET,\":-1\"):Ja.def(co,\"?\",co,\".vertCount:-1\")});return Vi}else if(It){var on=new ti(Rt.thisDep,Rt.contextDep,Rt.propDep,function(On,Ja){return Ja.def(On.shared.vao,\".currentVAO?\",On.shared.vao,\".currentVAO.count:-1\")});return on}return null}var hi=cr(),wi=Ri(),gn=br(Pr,!1);return{elements:ht,primitive:hi,count:wi,instances:gn,offset:Nr,vao:Rt,vaoActive:It,elementsActive:mt,static:Ot}}function Ml(Ve,et){var at=Ve.static,kt=Ve.dynamic,Ot={};return vi.forEach(function(It){var Bt=Ki(It);function Rt(mt,Pt){if(It in at){var ht=mt(at[It]);Ot[Bt]=Cn(function(){return ht})}else if(It in kt){var cr=kt[It];Ot[Bt]=Nn(cr,function(br,Nr){return Pt(br,Nr,br.invoke(Nr,cr))})}}switch(It){case ku:case Ho:case Ts:case Vc:case va:case B:case Uc:case Ac:case Ua:case is:return Rt(function(mt){return mt},function(mt,Pt,ht){return ht});case no:return Rt(function(mt){return Xr[mt]},function(mt,Pt,ht){var cr=mt.constants.compareFuncs;return Pt.def(cr,\"[\",ht,\"]\")});case _s:return Rt(function(mt){return mt},function(mt,Pt,ht){var cr=Pt.def(\"+\",ht,\"[0]\"),br=Pt.def(\"+\",ht,\"[1]\");return[cr,br]});case Ps:return Rt(function(mt){var Pt=\"srcRGB\"in mt?mt.srcRGB:mt.src,ht=\"srcAlpha\"in mt?mt.srcAlpha:mt.src,cr=\"dstRGB\"in mt?mt.dstRGB:mt.dst,br=\"dstAlpha\"in mt?mt.dstAlpha:mt.dst;return[bi[Pt],bi[cr],bi[ht],bi[br]]},function(mt,Pt,ht){var cr=mt.constants.blendFuncs;function br(Ci,qi){var Vi=Pt.def('\"',Ci,qi,'\" in ',ht,\"?\",ht,\".\",Ci,qi,\":\",ht,\".\",Ci);return Vi}var Nr=br(\"src\",\"RGB\"),Ri=br(\"dst\",\"RGB\"),hi=Pt.def(cr,\"[\",Nr,\"]\"),wi=Pt.def(cr,\"[\",br(\"src\",\"Alpha\"),\"]\"),gn=Pt.def(cr,\"[\",Ri,\"]\"),tn=Pt.def(cr,\"[\",br(\"dst\",\"Alpha\"),\"]\");return[hi,gn,wi,tn]});case Xs:return Rt(function(mt){if(typeof mt==\"string\")return[xi[mt],xi[mt]];if(typeof mt==\"object\")return[xi[mt.rgb],xi[mt.alpha]]},function(mt,Pt,ht){var cr=mt.constants.blendEquations,br=Pt.def(),Nr=Pt.def(),Ri=mt.cond(\"typeof \",ht,'===\"string\"');return Ri.then(br,\"=\",Nr,\"=\",cr,\"[\",ht,\"];\"),Ri.else(br,\"=\",cr,\"[\",ht,\".rgb];\",Nr,\"=\",cr,\"[\",ht,\".alpha];\"),Pt(Ri),[br,Nr]});case yl:return Rt(function(mt){return M(4,function(Pt){return+mt[Pt]})},function(mt,Pt,ht){return M(4,function(cr){return Pt.def(\"+\",ht,\"[\",cr,\"]\")})});case hc:return Rt(function(mt){return mt|0},function(mt,Pt,ht){return Pt.def(ht,\"|0\")});case Ku:return Rt(function(mt){var Pt=mt.cmp||\"keep\",ht=mt.ref||0,cr=\"mask\"in mt?mt.mask:-1;return[Xr[Pt],ht,cr]},function(mt,Pt,ht){var cr=mt.constants.compareFuncs,br=Pt.def('\"cmp\" in ',ht,\"?\",cr,\"[\",ht,\".cmp]\",\":\",nt),Nr=Pt.def(ht,\".ref|0\"),Ri=Pt.def('\"mask\" in ',ht,\"?\",ht,\".mask|0:-1\");return[br,Nr,Ri]});case ue:case w:return Rt(function(mt){var Pt=mt.fail||\"keep\",ht=mt.zfail||\"keep\",cr=mt.zpass||\"keep\";return[It===w?se:X,ni[Pt],ni[ht],ni[cr]]},function(mt,Pt,ht){var cr=mt.constants.stencilOps;function br(Nr){return Pt.def('\"',Nr,'\" in ',ht,\"?\",cr,\"[\",ht,\".\",Nr,\"]:\",nt)}return[It===w?se:X,br(\"fail\"),br(\"zfail\"),br(\"zpass\")]});case xu:return Rt(function(mt){var Pt=mt.factor|0,ht=mt.units|0;return[Pt,ht]},function(mt,Pt,ht){var cr=Pt.def(ht,\".factor|0\"),br=Pt.def(ht,\".units|0\");return[cr,br]});case Yu:return Rt(function(mt){var Pt=0;return mt===\"front\"?Pt=X:mt===\"back\"&&(Pt=se),Pt},function(mt,Pt,ht){return Pt.def(ht,'===\"front\"?',X,\":\",se)});case gu:return Rt(function(mt){return mt},function(mt,Pt,ht){return ht});case Nc:return Rt(function(mt){return gi[mt]},function(mt,Pt,ht){return Pt.def(ht+'===\"cw\"?'+Te+\":\"+Ne)});case $l:return Rt(function(mt){return mt.map(function(Pt){return!!Pt})},function(mt,Pt,ht){return M(4,function(cr){return\"!!\"+ht+\"[\"+cr+\"]\"})});case oo:return Rt(function(mt){var Pt=\"value\"in mt?mt.value:1,ht=!!mt.invert;return[Pt,ht]},function(mt,Pt,ht){var cr=Pt.def('\"value\" in ',ht,\"?+\",ht,\".value:1\"),br=Pt.def(\"!!\",ht,\".invert\");return[cr,br]})}}),Ot}function zo(Ve,et){var at=Ve.static,kt=Ve.dynamic,Ot={};return Object.keys(at).forEach(function(It){var Bt=at[It],Rt;if(typeof Bt==\"number\"||typeof Bt==\"boolean\")Rt=Cn(function(){return Bt});else if(typeof Bt==\"function\"){var mt=Bt._reglType;mt===\"texture2d\"||mt===\"textureCube\"?Rt=Cn(function(Pt){return Pt.link(Bt)}):(mt===\"framebuffer\"||mt===\"framebufferCube\")&&(Rt=Cn(function(Pt){return Pt.link(Bt.color[0])}))}else En(Bt)&&(Rt=Cn(function(Pt){var ht=Pt.global.def(\"[\",M(Bt.length,function(cr){return Bt[cr]}),\"]\");return ht}));Rt.value=Bt,Ot[It]=Rt}),Object.keys(kt).forEach(function(It){var Bt=kt[It];Ot[It]=Nn(Bt,function(Rt,mt){return Rt.invoke(mt,Bt)})}),Ot}function el(Ve,et){var at=Ve.static,kt=Ve.dynamic,Ot={};return Object.keys(at).forEach(function(It){var Bt=at[It],Rt=xt.id(It),mt=new Yr;if(Pi(Bt))mt.state=La,mt.buffer=Hr.getBuffer(Hr.create(Bt,Sr,!1,!0)),mt.type=0;else{var Pt=Hr.getBuffer(Bt);if(Pt)mt.state=La,mt.buffer=Pt,mt.type=0;else if(\"constant\"in Bt){var ht=Bt.constant;mt.buffer=\"null\",mt.state=Na,typeof ht==\"number\"?mt.x=ht:ka.forEach(function(gn,tn){tn<ht.length&&(mt[gn]=ht[tn])})}else{Pi(Bt.buffer)?Pt=Hr.getBuffer(Hr.create(Bt.buffer,Sr,!1,!0)):Pt=Hr.getBuffer(Bt.buffer);var cr=Bt.offset|0,br=Bt.stride|0,Nr=Bt.size|0,Ri=!!Bt.normalized,hi=0;\"type\"in Bt&&(hi=Hi[Bt.type]);var wi=Bt.divisor|0;mt.buffer=Pt,mt.state=La,mt.size=Nr,mt.normalized=Ri,mt.type=hi||Pt.dtype,mt.offset=cr,mt.stride=br,mt.divisor=wi}}Ot[It]=Cn(function(gn,tn){var Ci=gn.attribCache;if(Rt in Ci)return Ci[Rt];var qi={isStream:!1};return Object.keys(mt).forEach(function(Vi){qi[Vi]=mt[Vi]}),mt.buffer&&(qi.buffer=gn.link(mt.buffer),qi.type=qi.type||qi.buffer+\".dtype\"),Ci[Rt]=qi,qi})}),Object.keys(kt).forEach(function(It){var Bt=kt[It];function Rt(mt,Pt){var ht=mt.invoke(Pt,Bt),cr=mt.shared,br=mt.constants,Nr=cr.isBufferArgs,Ri=cr.buffer,hi={isStream:Pt.def(!1)},wi=new Yr;wi.state=La,Object.keys(wi).forEach(function(qi){hi[qi]=Pt.def(\"\"+wi[qi])});var gn=hi.buffer,tn=hi.type;Pt(\"if(\",Nr,\"(\",ht,\")){\",hi.isStream,\"=true;\",gn,\"=\",Ri,\".createStream(\",Sr,\",\",ht,\");\",tn,\"=\",gn,\".dtype;\",\"}else{\",gn,\"=\",Ri,\".getBuffer(\",ht,\");\",\"if(\",gn,\"){\",tn,\"=\",gn,\".dtype;\",'}else if(\"constant\" in ',ht,\"){\",hi.state,\"=\",Na,\";\",\"if(typeof \"+ht+'.constant === \"number\"){',hi[ka[0]],\"=\",ht,\".constant;\",ka.slice(1).map(function(qi){return hi[qi]}).join(\"=\"),\"=0;\",\"}else{\",ka.map(function(qi,Vi){return hi[qi]+\"=\"+ht+\".constant.length>\"+Vi+\"?\"+ht+\".constant[\"+Vi+\"]:0;\"}).join(\"\"),\"}}else{\",\"if(\",Nr,\"(\",ht,\".buffer)){\",gn,\"=\",Ri,\".createStream(\",Sr,\",\",ht,\".buffer);\",\"}else{\",gn,\"=\",Ri,\".getBuffer(\",ht,\".buffer);\",\"}\",tn,'=\"type\" in ',ht,\"?\",br.glTypes,\"[\",ht,\".type]:\",gn,\".dtype;\",hi.normalized,\"=!!\",ht,\".normalized;\");function Ci(qi){Pt(hi[qi],\"=\",ht,\".\",qi,\"|0;\")}return Ci(\"size\"),Ci(\"offset\"),Ci(\"stride\"),Ci(\"divisor\"),Pt(\"}}\"),Pt.exit(\"if(\",hi.isStream,\"){\",Ri,\".destroyStream(\",gn,\");\",\"}\"),hi}Ot[It]=Nn(Bt,Rt)}),Ot}function ol(Ve){var et=Ve.static,at=Ve.dynamic,kt={};return Object.keys(et).forEach(function(Ot){var It=et[Ot];kt[Ot]=Cn(function(Bt,Rt){return typeof It==\"number\"||typeof It==\"boolean\"?\"\"+It:Bt.link(It)})}),Object.keys(at).forEach(function(Ot){var It=at[Ot];kt[Ot]=Nn(It,function(Bt,Rt){return Bt.invoke(Rt,It)})}),kt}function Ul(Ve,et,at,kt,Ot){var It=Ve.static,Bt=Ve.dynamic,Rt=ns(Ve,et),mt=oa(Ve,Ot),Pt=wa(Ve,mt,Ot),ht=Va(Ve,Ot),cr=Ml(Ve,Ot),br=Ys(Ve,Ot,Rt);function Nr(Ci){var qi=Pt[Ci];qi&&(cr[Ci]=qi)}Nr(ee),Nr(Ki(Q));var Ri=Object.keys(cr).length>0,hi={framebuffer:mt,draw:ht,shader:br,state:cr,dirty:Ri,scopeVAO:null,drawVAO:null,useVAO:!1,attributes:{}};if(hi.profile=ra(Ve,Ot),hi.uniforms=zo(at,Ot),hi.drawVAO=hi.scopeVAO=ht.vao,!hi.drawVAO&&br.program&&!Rt&&zt.angle_instanced_arrays&&ht.static.elements){var wi=!0,gn=br.program.attributes.map(function(Ci){var qi=et.static[Ci];return wi=wi&&!!qi,qi});if(wi&&gn.length>0){var tn=Oi.getVAO(Oi.createVAO({attributes:gn,elements:ht.static.elements}));hi.drawVAO=new ti(null,null,null,function(Ci,qi){return Ci.link(tn)}),hi.useVAO=!0}}return Rt?hi.useVAO=!0:hi.attributes=el(et,Ot),hi.context=ol(kt,Ot),hi}function ls(Ve,et,at){var kt=Ve.shared,Ot=kt.context,It=Ve.scope();Object.keys(at).forEach(function(Bt){et.save(Ot,\".\"+Bt);var Rt=at[Bt],mt=Rt.append(Ve,et);Array.isArray(mt)?It(Ot,\".\",Bt,\"=[\",mt.join(),\"];\"):It(Ot,\".\",Bt,\"=\",mt,\";\")}),et(It)}function Gs(Ve,et,at,kt){var Ot=Ve.shared,It=Ot.gl,Bt=Ot.framebuffer,Rt;ci&&(Rt=et.def(Ot.extensions,\".webgl_draw_buffers\"));var mt=Ve.constants,Pt=mt.drawBuffer,ht=mt.backBuffer,cr;at?cr=at.append(Ve,et):cr=et.def(Bt,\".next\"),kt||et(\"if(\",cr,\"!==\",Bt,\".cur){\"),et(\"if(\",cr,\"){\",It,\".bindFramebuffer(\",qr,\",\",cr,\".framebuffer);\"),ci&&et(Rt,\".drawBuffersWEBGL(\",Pt,\"[\",cr,\".colorAttachments.length]);\"),et(\"}else{\",It,\".bindFramebuffer(\",qr,\",null);\"),ci&&et(Rt,\".drawBuffersWEBGL(\",ht,\");\"),et(\"}\",Bt,\".cur=\",cr,\";\"),kt||et(\"}\")}function Ks(Ve,et,at){var kt=Ve.shared,Ot=kt.gl,It=Ve.current,Bt=Ve.next,Rt=kt.current,mt=kt.next,Pt=Ve.cond(Rt,\".dirty\");vi.forEach(function(ht){var cr=Ki(ht);if(!(cr in at.state)){var br,Nr;if(cr in Bt){br=Bt[cr],Nr=It[cr];var Ri=M(Xi[cr].length,function(wi){return Pt.def(br,\"[\",wi,\"]\")});Pt(Ve.cond(Ri.map(function(wi,gn){return wi+\"!==\"+Nr+\"[\"+gn+\"]\"}).join(\"||\")).then(Ot,\".\",mn[cr],\"(\",Ri,\");\",Ri.map(function(wi,gn){return Nr+\"[\"+gn+\"]=\"+wi}).join(\";\"),\";\"))}else{br=Pt.def(mt,\".\",cr);var hi=Ve.cond(br,\"!==\",Rt,\".\",cr);Pt(hi),cr in li?hi(Ve.cond(br).then(Ot,\".enable(\",li[cr],\");\").else(Ot,\".disable(\",li[cr],\");\"),Rt,\".\",cr,\"=\",br,\";\"):hi(Ot,\".\",mn[cr],\"(\",br,\");\",Rt,\".\",cr,\"=\",br,\";\")}}}),Object.keys(at.state).length===0&&Pt(Rt,\".dirty=false;\"),et(Pt)}function Ta(Ve,et,at,kt){var Ot=Ve.shared,It=Ve.current,Bt=Ot.current,Rt=Ot.gl,mt;Ai(Object.keys(at)).forEach(function(Pt){var ht=at[Pt];if(!(kt&&!kt(ht))){var cr=ht.append(Ve,et);if(li[Pt]){var br=li[Pt];Rn(ht)?(mt=Ve.link(cr,{stable:!0}),et(Ve.cond(mt).then(Rt,\".enable(\",br,\");\").else(Rt,\".disable(\",br,\");\")),et(Bt,\".\",Pt,\"=\",mt,\";\")):(et(Ve.cond(cr).then(Rt,\".enable(\",br,\");\").else(Rt,\".disable(\",br,\");\")),et(Bt,\".\",Pt,\"=\",cr,\";\"))}else if(En(cr)){var Nr=It[Pt];et(Rt,\".\",mn[Pt],\"(\",cr,\");\",cr.map(function(Ri,hi){return Nr+\"[\"+hi+\"]=\"+Ri}).join(\";\"),\";\")}else Rn(ht)?(mt=Ve.link(cr,{stable:!0}),et(Rt,\".\",mn[Pt],\"(\",mt,\");\",Bt,\".\",Pt,\"=\",mt,\";\")):et(Rt,\".\",mn[Pt],\"(\",cr,\");\",Bt,\".\",Pt,\"=\",cr,\";\")}})}function sl(Ve,et){Ii&&(Ve.instancing=et.def(Ve.shared.extensions,\".angle_instanced_arrays\"))}function io(Ve,et,at,kt,Ot){var It=Ve.shared,Bt=Ve.stats,Rt=It.current,mt=It.timer,Pt=at.profile;function ht(){return typeof performance==\"undefined\"?\"Date.now()\":\"performance.now()\"}var cr,br;function Nr(Ci){cr=et.def(),Ci(cr,\"=\",ht(),\";\"),typeof Ot==\"string\"?Ci(Bt,\".count+=\",Ot,\";\"):Ci(Bt,\".count++;\"),ji&&(kt?(br=et.def(),Ci(br,\"=\",mt,\".getNumPendingQueries();\")):Ci(mt,\".beginQuery(\",Bt,\");\"))}function Ri(Ci){Ci(Bt,\".cpuTime+=\",ht(),\"-\",cr,\";\"),ji&&(kt?Ci(mt,\".pushScopeStats(\",br,\",\",mt,\".getNumPendingQueries(),\",Bt,\");\"):Ci(mt,\".endQuery();\"))}function hi(Ci){var qi=et.def(Rt,\".profile\");et(Rt,\".profile=\",Ci,\";\"),et.exit(Rt,\".profile=\",qi,\";\")}var wi;if(Pt){if(Rn(Pt)){Pt.enable?(Nr(et),Ri(et.exit),hi(\"true\")):hi(\"false\");return}wi=Pt.append(Ve,et),hi(wi)}else wi=et.def(Rt,\".profile\");var gn=Ve.block();Nr(gn),et(\"if(\",wi,\"){\",gn,\"}\");var tn=Ve.block();Ri(tn),et.exit(\"if(\",wi,\"){\",tn,\"}\")}function Y(Ve,et,at,kt,Ot){var It=Ve.shared;function Bt(mt){switch(mt){case ko:case Is:case dl:return 2;case Qa:case As:case Nl:return 3;case mo:case wo:case Lu:return 4;default:return 1}}function Rt(mt,Pt,ht){var cr=It.gl,br=et.def(mt,\".location\"),Nr=et.def(It.attributes,\"[\",br,\"]\"),Ri=ht.state,hi=ht.buffer,wi=[ht.x,ht.y,ht.z,ht.w],gn=[\"buffer\",\"normalized\",\"offset\",\"stride\"];function tn(){et(\"if(!\",Nr,\".buffer){\",cr,\".enableVertexAttribArray(\",br,\");}\");var qi=ht.type,Vi;if(ht.size?Vi=et.def(ht.size,\"||\",Pt):Vi=Pt,et(\"if(\",Nr,\".type!==\",qi,\"||\",Nr,\".size!==\",Vi,\"||\",gn.map(function(On){return Nr+\".\"+On+\"!==\"+ht[On]}).join(\"||\"),\"){\",cr,\".bindBuffer(\",Sr,\",\",hi,\".buffer);\",cr,\".vertexAttribPointer(\",[br,Vi,qi,ht.normalized,ht.stride,ht.offset],\");\",Nr,\".type=\",qi,\";\",Nr,\".size=\",Vi,\";\",gn.map(function(On){return Nr+\".\"+On+\"=\"+ht[On]+\";\"}).join(\"\"),\"}\"),Ii){var on=ht.divisor;et(\"if(\",Nr,\".divisor!==\",on,\"){\",Ve.instancing,\".vertexAttribDivisorANGLE(\",[br,on],\");\",Nr,\".divisor=\",on,\";}\")}}function 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tn=Ve.link(gn._texture||gn.color[0]._texture);et(Rt,\".uniform1i(\",hi,\",\",tn+\".bind());\"),et.exit(tn,\".unbind();\")}else if(br===ou||br===$s||br===Ql){var Ci=Ve.global.def(\"new Float32Array([\"+Array.prototype.slice.call(gn)+\"])\"),qi=2;br===$s?qi=3:br===Ql&&(qi=4),et(Rt,\".uniformMatrix\",qi,\"fv(\",hi,\",false,\",Ci,\");\")}else{switch(br){case $a:mt=\"1f\";break;case ko:mt=\"2f\";break;case Qa:mt=\"3f\";break;case mo:mt=\"4f\";break;case To:mt=\"1i\";break;case Bo:mt=\"1i\";break;case dl:mt=\"2i\";break;case Is:mt=\"2i\";break;case Nl:mt=\"3i\";break;case As:mt=\"3i\";break;case Lu:mt=\"4i\";break;case wo:mt=\"4i\";break}et(Rt,\".uniform\",mt,\"(\",hi,\",\",En(gn)?Array.prototype.slice.call(gn):gn,\");\")}continue}else 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Vi?((Vi.contextDep&&kt.contextDynamic||Vi.propDep)&&(On=at),on=Vi.append(Ve,On),Rt.elementsActive&&On(\"if(\"+on+\")\"+It+\".bindBuffer(\"+Or+\",\"+on+\".buffer.buffer);\")):(on=On.def(),On(on,\"=\",Bt,\".\",Tt,\";\",\"if(\",on,\"){\",It,\".bindBuffer(\",Or,\",\",on,\".buffer.buffer);}\",\"else if(\",Ot.vao,\".currentVAO){\",on,\"=\",Ve.shared.elements+\".getElements(\"+Ot.vao,\".currentVAO.elements);\",nn?\"\":\"if(\"+on+\")\"+It+\".bindBuffer(\"+Or+\",\"+on+\".buffer.buffer);\",\"}\")),on}function Pt(){var Vi=Rt.count,on,On=et;return Vi?((Vi.contextDep&&kt.contextDynamic||Vi.propDep)&&(On=at),on=Vi.append(Ve,On)):on=On.def(Bt,\".\",Jt),on}var ht=mt();function cr(Vi){var on=Rt[Vi];return on?on.contextDep&&kt.contextDynamic||on.propDep?on.append(Ve,at):on.append(Ve,et):et.def(Bt,\".\",Vi)}var br=cr(Kt),Nr=cr(xr),Ri=Pt();if(typeof Ri==\"number\"){if(Ri===0)return}else at(\"if(\",Ri,\"){\"),at.exit(\"}\");var hi,wi;Ii&&(hi=cr(Pr),wi=Ve.instancing);var gn=ht+\".type\",tn=Rt.elements&&Rn(Rt.elements)&&!Rt.vaoActive;function Ci(){function Vi(){at(wi,\".drawElementsInstancedANGLE(\",[br,Ri,gn,Nr+\"<<((\"+gn+\"-\"+Ra+\")>>1)\",hi],\");\")}function on(){at(wi,\".drawArraysInstancedANGLE(\",[br,Nr,Ri,hi],\");\")}ht&&ht!==\"null\"?tn?Vi():(at(\"if(\",ht,\"){\"),Vi(),at(\"}else{\"),on(),at(\"}\")):on()}function qi(){function Vi(){at(It+\".drawElements(\"+[br,Ri,gn,Nr+\"<<((\"+gn+\"-\"+Ra+\")>>1)\"]+\");\")}function on(){at(It+\".drawArrays(\"+[br,Nr,Ri]+\");\")}ht&&ht!==\"null\"?tn?Vi():(at(\"if(\",ht,\"){\"),Vi(),at(\"}else{\"),on(),at(\"}\")):on()}Ii&&(typeof hi!=\"number\"||hi>=0)?typeof hi==\"string\"?(at(\"if(\",hi,\">0){\"),Ci(),at(\"}else if(\",hi,\"<0){\"),qi(),at(\"}\")):Ci():qi()}function q(Ve,et,at,kt,Ot){var It=Ln(),Bt=It.proc(\"body\",Ot);return Ii&&(It.instancing=Bt.def(It.shared.extensions,\".angle_instanced_arrays\")),Ve(It,Bt,at,kt),It.compile().body}function 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kt=!1,Ot=!0;Object.keys(et.context).forEach(function(Nr){kt=kt||et.context[Nr].propDep}),kt||(ls(Ve,at,et.context),Ot=!1);var It=et.framebuffer,Bt=!1;It?(It.propDep?kt=Bt=!0:It.contextDep&&kt&&(Bt=!0),Bt||Gs(Ve,at,It)):Gs(Ve,at,null),et.state.viewport&&et.state.viewport.propDep&&(kt=!0);function Rt(Nr){return Nr.contextDep&&kt||Nr.propDep}Ks(Ve,at,et),Ta(Ve,at,et.state,function(Nr){return!Rt(Nr)}),(!et.profile||!Rt(et.profile))&&io(Ve,at,et,!1,\"a1\"),et.contextDep=kt,et.needsContext=Ot,et.needsFramebuffer=Bt;var mt=et.shader.progVar;if(mt.contextDep&&kt||mt.propDep)we(Ve,at,et,null);else{var Pt=mt.append(Ve,at);if(at(Ve.shared.gl,\".useProgram(\",Pt,\".program);\"),et.shader.program)we(Ve,at,et,et.shader.program);else{at(Ve.shared.vao,\".setVAO(null);\");var ht=Ve.global.def(\"{}\"),cr=at.def(Pt,\".id\"),br=at.def(ht,\"[\",cr,\"]\");at(Ve.cond(br).then(br,\".call(this,a0,a1);\").else(br,\"=\",ht,\"[\",cr,\"]=\",Ve.link(function(Nr){return 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vn(Pt)?Pt:Ve.link(Pt,{stable:!0})})+\"]\"),at.set(kt.uniforms,\"[\"+Ve.link(xt.id(Rt),{stable:!0})+\"]\",mt)}),Object.keys(et.attributes).forEach(function(Rt){var mt=et.attributes[Rt].append(Ve,at),Pt=Ve.scopeAttrib(Rt);Object.keys(new Yr).forEach(function(ht){at.set(Pt,\".\"+ht,mt[ht])})}),et.scopeVAO){var It=et.scopeVAO.append(Ve,at);vn(It)?at.set(kt.vao,\".targetVAO\",It):at.set(kt.vao,\".targetVAO\",Ve.link(It,{stable:!0}))}function Bt(Rt){var mt=et.shader[Rt];if(mt){var Pt=mt.append(Ve,at);vn(Pt)?at.set(kt.shader,\".\"+Rt,Pt):at.set(kt.shader,\".\"+Rt,Ve.link(Pt,{stable:!0}))}}Bt(Xe),Bt(ot),Object.keys(et.state).length>0&&(at(Ot,\".dirty=true;\"),at.exit(Ot,\".dirty=true;\")),at(\"a1(\",Ve.shared.context,\",a0,\",Ve.batchId,\");\")}function Zt(Ve){if(!(typeof Ve!=\"object\"||En(Ve))){for(var et=Object.keys(Ve),at=0;at<et.length;++at)if(h.isDynamic(Ve[et[at]]))return!0;return!1}}function hr(Ve,et,at){var kt=et.static[at];if(!kt||!Zt(kt))return;var Ot=Ve.global,It=Object.keys(kt),Bt=!1,Rt=!1,mt=!1,Pt=Ve.global.def(\"{}\");It.forEach(function(cr){var br=kt[cr];if(h.isDynamic(br)){typeof br==\"function\"&&(br=kt[cr]=h.unbox(br));var Nr=Nn(br,null);Bt=Bt||Nr.thisDep,mt=mt||Nr.propDep,Rt=Rt||Nr.contextDep}else{switch(Ot(Pt,\".\",cr,\"=\"),typeof br){case\"number\":Ot(br);break;case\"string\":Ot('\"',br,'\"');break;case\"object\":Array.isArray(br)&&Ot(\"[\",br.join(),\"]\");break;default:Ot(Ve.link(br));break}Ot(\";\")}});function ht(cr,br){It.forEach(function(Nr){var Ri=kt[Nr];if(h.isDynamic(Ri)){var hi=cr.invoke(br,Ri);br(Pt,\".\",Nr,\"=\",hi,\";\")}})}et.dynamic[at]=new h.DynamicVariable(Xo,{thisDep:Bt,contextDep:Rt,propDep:mt,ref:Pt,append:ht}),delete et.static[at]}function qt(Ve,et,at,kt,Ot){var It=Ln();It.stats=It.link(Ot),Object.keys(et.static).forEach(function(Rt){hr(It,et,Rt)}),dr.forEach(function(Rt){hr(It,Ve,Rt)});var Bt=Ul(Ve,et,at,kt,It);return Bt.shader.program&&(Bt.shader.program.attributes.sort(function(Rt,mt){return 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br=Ve.link(Ir.maxAttributes,{stable:!0});return at(\"for(var i=0;i<\",br,\";++i){\",ht,\"=\",Pt,\"[i];\",cr,\"}\"),Ii&&at(\"for(var i=0;i<\",br,\";++i){\",mt,\".vertexAttribDivisorANGLE(i,\",Pt,\"[i].divisor);\",\"}\"),at(Ve.shared.vao,\".currentVAO=null;\",Ve.shared.vao,\".setVAO(\",Ve.shared.vao,\".targetVAO);\"),Object.keys(li).forEach(function(Nr){var Ri=li[Nr],hi=kt.def(Bt,\".\",Nr),wi=Ve.block();wi(\"if(\",hi,\"){\",It,\".enable(\",Ri,\")}else{\",It,\".disable(\",Ri,\")}\",Rt,\".\",Nr,\"=\",hi,\";\"),at(wi),et(\"if(\",hi,\"!==\",Rt,\".\",Nr,\"){\",wi,\"}\")}),Object.keys(mn).forEach(function(Nr){var Ri=mn[Nr],hi=Xi[Nr],wi,gn,tn=Ve.block();if(tn(It,\".\",Ri,\"(\"),En(hi)){var Ci=hi.length;wi=Ve.global.def(Bt,\".\",Nr),gn=Ve.global.def(Rt,\".\",Nr),tn(M(Ci,function(qi){return wi+\"[\"+qi+\"]\"}),\");\",M(Ci,function(qi){return gn+\"[\"+qi+\"]=\"+wi+\"[\"+qi+\"];\"}).join(\"\")),et(\"if(\",M(Ci,function(qi){return 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i=t[n][0],a=i.trace,o=r._splomScenes[a.uid];a.type===\"splom\"&&o&&o.matrix&&YUt(e,a,o)}}function YUt(e,t,r){for(var n=r.matrixOptions.data.length,i=t._visibleDims,a=r.viewOpts.ranges=new Array(n),o=0;o<i.length;o++){var s=i[o],l=a[o]=new Array(4),u=vNe(e,t._diag[s][0]);u&&(l[0]=u.r2l(u.range[0]),l[2]=u.r2l(u.range[1]));var c=vNe(e,t._diag[s][1]);c&&(l[1]=c.r2l(c.range[0]),l[3]=c.r2l(c.range[1]))}r.selectBatch.length||r.unselectBatch.length?r.matrix.update({ranges:a},{ranges:a}):r.matrix.update({ranges:a})}function _K(e){var t=e._fullLayout,r=t._glcanvas.data()[0].regl,n=t._splomGrid;n||(n=t._splomGrid=GUt(r)),n.update(KUt(e))}function KUt(e){var t=e._context.plotGlPixelRatio,r=e._fullLayout,n=r._size,i=[0,0,r.width*t,r.height*t],a={},o;function s(_,k,M,g,P,T){M*=t,g*=t,P*=t,T*=t;var z=k[_+\"color\"],O=k[_+\"width\"],V=String(z+O);V in a?a[V].data.push(NaN,NaN,M,g,P,T):a[V]={data:[M,g,P,T],join:\"rect\",thickness:O*t,color:z,viewport:i,range:i,overlay:!1}}for(o in r._splomSubplots){var 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$Ut=Tu(),xK=Rd(),bK=ec(),QUt=kc().attributes,Pz=Ao().extendFlat,eVt=pl().templatedArray;SNe.exports={domain:QUt({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:bK({editType:\"plot\"}),tickfont:bK({autoShadowDflt:!0,editType:\"plot\"}),rangefont:bK({editType:\"plot\"}),dimensions:eVt(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:Pz({},xK.tickvals,{editType:\"plot\"}),ticktext:Pz({},xK.ticktext,{editType:\"plot\"}),tickformat:Pz({},xK.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:Pz({editType:\"calc\"},$Ut(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"})),unselected:{line:{color:{valType:\"color\",dflt:\"#7f7f7f\",editType:\"plot\"},opacity:{valType:\"number\",min:0,max:1,dflt:\"auto\",editType:\"plot\"},editType:\"plot\"},editType:\"plot\"}}});var LC=ye((B1r,MNe)=>{\"use 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Km=ye((N1r,CNe)=>{\"use strict\";var tVt=VS();function ENe(e){return[e]}CNe.exports={keyFun:function(e){return e.key},repeat:ENe,descend:tVt,wrap:ENe,unwrap:function(e){return e[0]}}});var SK=ye((U1r,BNe)=>{\"use strict\";var yh=LC(),em=Oa(),rVt=Km().keyFun,Iz=Km().repeat,m5=Dr().sorterAsc,iVt=Dr().strTranslate,kNe=yh.bar.snapRatio;function LNe(e,t){return e*(1-kNe)+t*kNe}var PNe=yh.bar.snapClose;function nVt(e,t){return e*(1-PNe)+t*PNe}function Dz(e,t,r,n){if(aVt(r,n))return r;var i=e?-1:1,a=0,o=t.length-1;if(i<0){var s=a;a=o,o=s}for(var l=t[a],u=l,c=a;i*c<i*o;c+=i){var f=c+i,h=t[f];if(i*r<i*nVt(l,h))return LNe(l,u);if(i*r<i*h||f===o)return LNe(h,l);u=l,l=h}}function aVt(e,t){for(var r=0;r<t.length;r++)if(e>=t[r][0]&&e<=t[r][1])return!0;return!1}function oVt(e){e.attr(\"x\",-yh.bar.captureWidth/2).attr(\"width\",yh.bar.captureWidth)}function sVt(e){e.attr(\"visibility\",\"visible\").style(\"visibility\",\"visible\").attr(\"fill\",\"yellow\").attr(\"opacity\",0)}function lVt(e){if(!e.brush.filterSpecified)return\"0,\"+e.height;for(var t=INe(e.brush.filter.getConsolidated(),e.height),r=[0],n,i,a,o=t.length?t[0][0]:null,s=0;s<t.length;s++)n=t[s],i=n[1]-n[0],r.push(o),r.push(i),a=s+1,a<t.length&&(o=t[a][0]-n[1]);return r.push(e.height),r}function INe(e,t){return e.map(function(r){return r.map(function(n){return Math.max(0,n*t)}).sort(m5)})}function uVt(e,t){var r=yh.bar.handleHeight;if(!(t>e[1]+r||t<e[0]-r))return t>=.9*e[1]+.1*e[0]?\"n\":t<=.9*e[0]+.1*e[1]?\"s\":\"ns\"}function RNe(){em.select(document.body).style(\"cursor\",null)}function AK(e){e.attr(\"stroke-dasharray\",lVt)}function Rz(e,t){var r=em.select(e).selectAll(\".highlight, .highlight-shadow\"),n=t?r.transition().duration(yh.bar.snapDuration).each(\"end\",t):r;AK(n)}function DNe(e,t){var r=e.brush,n=r.filterSpecified,i=NaN,a={},o;if(n){var s=e.height,l=r.filter.getConsolidated(),u=INe(l,s),c=NaN,f=NaN,h=NaN;for(o=0;o<=u.length;o++){var d=u[o];if(d&&d[0]<=t&&t<=d[1]){c=o;break}else if(f=o?o-1:NaN,d&&d[0]>t){h=o;break}}if(i=c,isNaN(i)&&(isNaN(f)||isNaN(h)?i=isNaN(f)?h:f:i=t-u[f][1]<u[h][0]-t?f:h),!isNaN(i)){var v=u[i],x=uVt(v,t);x&&(a.interval=l[i],a.intervalPix=v,a.region=x)}}if(e.ordinal&&!a.region){var b=e.unitTickvals,p=e.unitToPaddedPx.invert(t);for(o=0;o<b.length;o++){var C=[b[Math.max(o-1,0)]*.25+b[o]*.75,b[Math.min(o+1,b.length-1)]*.25+b[o]*.75];if(p>=C[0]&&p<=C[1]){a.clickableOrdinalRange=C;break}}}return a}function cVt(e,t){em.event.sourceEvent.stopPropagation();var r=t.height-em.mouse(e)[1]-2*yh.verticalPadding,n=t.unitToPaddedPx.invert(r),i=t.brush,a=DNe(t,r),o=a.interval,s=i.svgBrush;if(s.wasDragged=!1,s.grabbingBar=a.region===\"ns\",s.grabbingBar){var l=o.map(t.unitToPaddedPx);s.grabPoint=r-l[0]-yh.verticalPadding,s.barLength=l[1]-l[0]}s.clickableOrdinalRange=a.clickableOrdinalRange,s.stayingIntervals=t.multiselect&&i.filterSpecified?i.filter.getConsolidated():[],o&&(s.stayingIntervals=s.stayingIntervals.filter(function(u){return u[0]!==o[0]&&u[1]!==o[1]})),s.startExtent=a.region?o[a.region===\"s\"?1:0]:n,t.parent.inBrushDrag=!0,s.brushStartCallback()}function FNe(e,t){em.event.sourceEvent.stopPropagation();var r=t.height-em.mouse(e)[1]-2*yh.verticalPadding,n=t.brush.svgBrush;n.wasDragged=!0,n._dragging=!0,n.grabbingBar?n.newExtent=[r-n.grabPoint,r+n.barLength-n.grabPoint].map(t.unitToPaddedPx.invert):n.newExtent=[n.startExtent,t.unitToPaddedPx.invert(r)].sort(m5),t.brush.filterSpecified=!0,n.extent=n.stayingIntervals.concat([n.newExtent]),n.brushCallback(t),Rz(e.parentNode)}function fVt(e,t){var r=t.brush,n=r.filter,i=r.svgBrush;i._dragging||(zNe(e,t),FNe(e,t),t.brush.svgBrush.wasDragged=!1),i._dragging=!1;var a=em.event;a.sourceEvent.stopPropagation();var o=i.grabbingBar;if(i.grabbingBar=!1,i.grabLocation=void 0,t.parent.inBrushDrag=!1,RNe(),!i.wasDragged){i.wasDragged=void 0,i.clickableOrdinalRange?r.filterSpecified&&t.multiselect?i.extent.push(i.clickableOrdinalRange):(i.extent=[i.clickableOrdinalRange],r.filterSpecified=!0):o?(i.extent=i.stayingIntervals,i.extent.length===0&&TK(r)):TK(r),i.brushCallback(t),Rz(e.parentNode),i.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);return}var s=function(){n.set(n.getConsolidated())};if(t.ordinal){var l=t.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),i.newExtent=[Dz(0,l,i.newExtent[0],i.stayingIntervals),Dz(1,l,i.newExtent[1],i.stayingIntervals)];var u=i.newExtent[1]>i.newExtent[0];i.extent=i.stayingIntervals.concat(u?[i.newExtent]:[]),i.extent.length||TK(r),i.brushCallback(t),u?Rz(e.parentNode,s):(s(),Rz(e.parentNode))}else s();i.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}function zNe(e,t){var r=t.height-em.mouse(e)[1]-2*yh.verticalPadding,n=DNe(t,r),i=\"crosshair\";n.clickableOrdinalRange?i=\"pointer\":n.region&&(i=n.region+\"-resize\"),em.select(document.body).style(\"cursor\",i)}function hVt(e){e.on(\"mousemove\",function(t){em.event.preventDefault(),t.parent.inBrushDrag||zNe(this,t)}).on(\"mouseleave\",function(t){t.parent.inBrushDrag||RNe()}).call(em.behavior.drag().on(\"dragstart\",function(t){cVt(this,t)}).on(\"drag\",function(t){FNe(this,t)}).on(\"dragend\",function(t){fVt(this,t)}))}function ONe(e,t){return e[0]-t[0]}function dVt(e,t,r){var n=r._context.staticPlot,i=e.selectAll(\".background\").data(Iz);i.enter().append(\"rect\").classed(\"background\",!0).call(oVt).call(sVt).style(\"pointer-events\",n?\"none\":\"auto\").attr(\"transform\",iVt(0,yh.verticalPadding)),i.call(hVt).attr(\"height\",function(s){return s.height-yh.verticalPadding});var a=e.selectAll(\".highlight-shadow\").data(Iz);a.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-yh.bar.width/2).attr(\"stroke-width\",yh.bar.width+yh.bar.strokeWidth).attr(\"stroke\",t).attr(\"opacity\",yh.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),a.attr(\"y1\",function(s){return s.height}).call(AK);var o=e.selectAll(\".highlight\").data(Iz);o.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-yh.bar.width/2).attr(\"stroke-width\",yh.bar.width-yh.bar.strokeWidth).attr(\"stroke\",yh.bar.fillColor).attr(\"opacity\",yh.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),o.attr(\"y1\",function(s){return s.height}).call(AK)}function vVt(e,t,r){var n=e.selectAll(\".\"+yh.cn.axisBrush).data(Iz,rVt);n.enter().append(\"g\").classed(yh.cn.axisBrush,!0),dVt(n,t,r)}function pVt(e){return e.svgBrush.extent.map(function(t){return t.slice()})}function TK(e){e.filterSpecified=!1,e.svgBrush.extent=[[-1/0,1/0]]}function gVt(e){return function(r){var n=r.brush,i=pVt(n),a=i.slice();n.filter.set(a),e()}}function qNe(e){for(var t=e.slice(),r=[],n,i=t.shift();i;){for(n=i.slice();(i=t.shift())&&i[0]<=n[1];)n[1]=Math.max(n[1],i[1]);r.push(n)}return r.length===1&&r[0][0]>r[0][1]&&(r=[]),r}function mVt(){var e=[],t,r;return{set:function(n){e=n.map(function(i){return i.slice().sort(m5)}).sort(ONe),e.length===1&&e[0][0]===-1/0&&e[0][1]===1/0&&(e=[[0,-1]]),t=qNe(e),r=e.reduce(function(i,a){return[Math.min(i[0],a[0]),Math.max(i[1],a[1])]},[1/0,-1/0])},get:function(){return e.slice()},getConsolidated:function(){return t},getBounds:function(){return r}}}function yVt(e,t,r,n,i,a){var o=mVt();return o.set(r),{filter:o,filterSpecified:t,svgBrush:{extent:[],brushStartCallback:n,brushCallback:gVt(i),brushEndCallback:a}}}function _Vt(e,t){if(Array.isArray(e[0])?(e=e.map(function(n){return n.sort(m5)}),t.multiselect?e=qNe(e.sort(ONe)):e=[e[0]]):e=[e.sort(m5)],t.tickvals){var r=t.tickvals.slice().sort(m5);if(e=e.map(function(n){var 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l=i(\"constraintrange\");l&&(t.constraintrange=SVt.cleanRanges(l,t))}}UNe.exports=function(t,r,n,i){function a(c,f){return mx.coerce(t,r,NNe,c,f)}var o=t.dimensions;Array.isArray(o)&&o.length>MK&&(mx.log(\"parcoords traces support up to \"+MK+\" dimensions at the moment\"),o.splice(MK));var s=TVt(t,r,{name:\"dimensions\",layout:i,handleItemDefaults:CVt}),l=EVt(t,r,n,i,a);wVt(r,i,a),(!Array.isArray(s)||!s.length)&&(r.visible=!1),MVt(r,s,\"values\",l);var u=mx.extendFlat({},i.font,{size:Math.round(i.font.size/1.2)});mx.coerceFont(a,\"labelfont\",u),mx.coerceFont(a,\"tickfont\",u,{autoShadowDflt:!0}),mx.coerceFont(a,\"rangefont\",u),a(\"labelangle\"),a(\"labelside\"),a(\"unselected.line.color\"),a(\"unselected.line.opacity\")}});var HNe=ye((G1r,GNe)=>{\"use strict\";var kVt=Dr().isArrayOrTypedArray,EK=tc(),LVt=Km().wrap;GNe.exports=function(t,r){var n,i;return EK.hasColorscale(r,\"line\")&&kVt(r.line.color)?(n=r.line.color,i=EK.extractOpts(r.line).colorscale,EK.calc(t,r,{vals:n,containerStr:\"line\",cLetter:\"c\"})):(n=PVt(r._length),i=[[0,r.line.color],[1,r.line.color]]),LVt({lineColor:n,cscale:i})};function PVt(e){for(var t=new Array(e),r=0;r<e;r++)t[r]=.5;return t}});function IVt(e){var c,f;var t,r=[],n=1,i;if(typeof e==\"number\")return{space:\"rgb\",values:[e>>>16,(e&65280)>>>8,e&255],alpha:1};if(typeof e==\"number\")return{space:\"rgb\",values:[e>>>16,(e&65280)>>>8,e&255],alpha:1};if(e=String(e).toLowerCase(),CK.default[e])r=CK.default[e].slice(),i=\"rgb\";else if(e===\"transparent\")n=0,i=\"rgb\",r=[0,0,0];else if(e[0]===\"#\"){var a=e.slice(1),o=a.length,s=o<=4;n=1,s?(r=[parseInt(a[0]+a[0],16),parseInt(a[1]+a[1],16),parseInt(a[2]+a[2],16)],o===4&&(n=parseInt(a[3]+a[3],16)/255)):(r=[parseInt(a[0]+a[1],16),parseInt(a[2]+a[3],16),parseInt(a[4]+a[5],16)],o===8&&(n=parseInt(a[6]+a[7],16)/255)),r[0]||(r[0]=0),r[1]||(r[1]=0),r[2]||(r[2]=0),i=\"rgb\"}else if(t=/^((?:rgba?|hs[lvb]a?|hwba?|cmyk?|xy[zy]|gray|lab|lchu?v?|[ly]uv|lms|oklch|oklab|color))\\s*\\(([^\\)]*)\\)/.exec(e)){var l=t[1];i=l.replace(/a$/,\"\");var u=i===\"cmyk\"?4:i===\"gray\"?1:3;r=t[2].trim().split(/\\s*[,\\/]\\s*|\\s+/),i===\"color\"&&(i=r.shift()),r=r.map(function(h,d){if(h[h.length-1]===\"%\")return h=parseFloat(h)/100,d===3?h:i===\"rgb\"?h*255:i[0]===\"h\"||i[0]===\"l\"&&!d?h*100:i===\"lab\"?h*125:i===\"lch\"?d<2?h*150:h*360:i[0]===\"o\"&&!d?h:i===\"oklab\"?h*.4:i===\"oklch\"?d<2?h*.4:h*360:h;if(i[d]===\"h\"||d===2&&i[i.length-1]===\"h\"){if(jNe[h]!==void 0)return jNe[h];if(h.endsWith(\"deg\"))return parseFloat(h);if(h.endsWith(\"turn\"))return parseFloat(h)*360;if(h.endsWith(\"grad\"))return parseFloat(h)*360/400;if(h.endsWith(\"rad\"))return parseFloat(h)*180/Math.PI}return h===\"none\"?0:parseFloat(h)}),n=r.length>u?r.pop():1}else/[0-9](?:\\s|\\/|,)/.test(e)&&(r=e.match(/([0-9]+)/g).map(function(h){return parseFloat(h)}),i=((f=(c=e.match(/([a-z])/ig))==null?void 0:c.join(\"\"))==null?void 0:f.toLowerCase())||\"rgb\");return{space:i,values:r,alpha:n}}var CK,WNe,jNe,XNe=ru(()=>{CK=Zet(hX(),1),WNe=IVt,jNe={red:0,orange:60,yellow:120,green:180,blue:240,purple:300}});var PC,kK=ru(()=>{PC={name:\"rgb\",min:[0,0,0],max:[255,255,255],channel:[\"red\",\"green\",\"blue\"],alias:[\"RGB\"]}});var Fz,ZNe=ru(()=>{kK();Fz={name:\"hsl\",min:[0,0,0],max:[360,100,100],channel:[\"hue\",\"saturation\",\"lightness\"],alias:[\"HSL\"],rgb:function(e){var t=e[0]/360,r=e[1]/100,n=e[2]/100,i,a,o,s,l,u=0;if(r===0)return l=n*255,[l,l,l];for(a=n<.5?n*(1+r):n+r-n*r,i=2*n-a,s=[0,0,0];u<3;)o=t+1/3*-(u-1),o<0?o++:o>1&&o--,l=6*o<1?i+(a-i)*6*o:2*o<1?a:3*o<2?i+(a-i)*(2/3-o)*6:i,s[u++]=l*255;return s}};PC.hsl=function(e){var t=e[0]/255,r=e[1]/255,n=e[2]/255,i=Math.min(t,r,n),a=Math.max(t,r,n),o=a-i,s,l,u;return a===i?s=0:t===a?s=(r-n)/o:r===a?s=2+(n-t)/o:n===a&&(s=4+(t-r)/o),s=Math.min(s*60,360),s<0&&(s+=360),u=(i+a)/2,a===i?l=0:u<=.5?l=o/(a+i):l=o/(2-a-i),[s,l*100,u*100]}});var KNe={};cee(KNe,{default:()=>YNe});function YNe(e){Array.isArray(e)&&e.raw&&(e=String.raw(...arguments)),e instanceof Number&&(e=+e);var t,r,n,i=WNe(e);if(!i.space)return[];let a=i.space[0]===\"h\"?Fz.min:PC.min,o=i.space[0]===\"h\"?Fz.max:PC.max;return t=Array(3),t[0]=Math.min(Math.max(i.values[0],a[0]),o[0]),t[1]=Math.min(Math.max(i.values[1],a[1]),o[1]),t[2]=Math.min(Math.max(i.values[2],a[2]),o[2]),i.space[0]===\"h\"&&(t=Fz.rgb(t)),t.push(Math.min(Math.max(i.alpha,0),1)),t}var JNe=ru(()=>{XNe();kK();ZNe()});var LK=ye(zz=>{\"use strict\";var RVt=Dr().isTypedArray;zz.convertTypedArray=function(e){return RVt(e)?Array.prototype.slice.call(e):e};zz.isOrdinal=function(e){return!!e.tickvals};zz.isVisible=function(e){return e.visible||!(\"visible\"in e)}});var sUe=ye(($1r,oUe)=>{\"use strict\";var DVt=[\"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",
       "`),FVt=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"void main() {\",\"    gl_FragColor = fragColor;\",\"}\"].join(`\n",
       "`),IC=LC().maxDimensionCount,iUe=Dr(),$Ne=1e-6,Oz=2048,zVt=new Uint8Array(4),QNe=new Uint8Array(4),eUe={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function OVt(e){e.read({x:0,y:0,width:1,height:1,data:zVt})}function nUe(e,t,r,n,i){var a=e._gl;a.enable(a.SCISSOR_TEST),a.scissor(t,r,n,i),e.clear({color:[0,0,0,0],depth:1})}function qVt(e,t,r,n,i,a){var o=a.key;function s(l){var u=Math.min(n,i-l*n);l===0&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],nUe(e,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),!r.clearOnly&&(a.count=2*u,a.offset=2*l*n,t(a),l*n+u<i&&(r.currentRafs[o]=window.requestAnimationFrame(function(){s(l+1)})),r.drawCompleted=!1)}r.drawCompleted||(OVt(e),r.drawCompleted=!0),s(0)}function BVt(e){return Math.max($Ne,Math.min(1-$Ne,e))}function NVt(e,t){for(var r=new Array(256),n=0;n<256;n++)r[n]=e(n/255).concat(t);return r}function PK(e,t){return(e>>>8*t)%256/255}function UVt(e,t,r){for(var n=new Array(e*(IC+4)),i=0,a=0;a<e;a++){for(var o=0;o<IC;o++)n[i++]=o<t.length?t[o].paddedUnitValues[a]:.5;n[i++]=PK(a,2),n[i++]=PK(a,1),n[i++]=PK(a,0),n[i++]=BVt(r[a])}return n}function VVt(e,t,r){for(var n=new Array(t*8),i=0,a=0;a<t;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=e*4+s,u=r[a*64+l];l===63&&o===0&&(u*=-1),n[i++]=u}return n}function tUe(e){var t=\"0\"+e;return t.substr(t.length-2)}function aUe(e){return e<IC?\"p\"+tUe(e+1)+\"_\"+tUe(e+4):\"colors\"}function GVt(e,t,r){for(var n=0;n<=IC;n+=4)e[aUe(n)](VVt(n/4,t,r))}function HVt(e){for(var t={},r=0;r<=IC;r+=4)t[aUe(r)]=e.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)});return t}function jVt(e,t,r,n,i,a,o,s,l,u,c,f,h,d){for(var v=[[],[]],x=0;x<64;x++)v[0][x]=x===i?1:0,v[1][x]=x===a?1:0;o*=d,s*=d,l*=d,u*=d;var b=e.lines.canvasOverdrag*d,p=e.domain,C=e.canvasWidth*d,E=e.canvasHeight*d,A=e.pad.l*d,L=e.pad.b*d,_=e.layoutHeight*d,k=e.layoutWidth*d,M=e.deselectedLines.color,g=e.deselectedLines.opacity,P=iUe.extendFlat({key:c,resolution:[C,E],viewBoxPos:[o+b,s],viewBoxSize:[l,u],i0:i,i1:a,dim0A:v[0].slice(0,16),dim0B:v[0].slice(16,32),dim0C:v[0].slice(32,48),dim0D:v[0].slice(48,64),dim1A:v[1].slice(0,16),dim1B:v[1].slice(16,32),dim1C:v[1].slice(32,48),dim1D:v[1].slice(48,64),drwLayer:f,contextColor:[M[0]/255,M[1]/255,M[2]/255,g!==\"auto\"?M[3]*g:Math.max(1/255,Math.pow(1/e.lines.color.length,1/3))],scissorX:(n===t?0:o+b)+(A-b)+k*p.x[0],scissorWidth:(n===r?C-o+b:l+.5)+(n===t?o+b:0),scissorY:s+L+_*p.y[0],scissorHeight:u,viewportX:A-b+k*p.x[0],viewportY:L+_*p.y[0],viewportWidth:C,viewportHeight:E},h);return P}function rUe(e){var t=Oz-1,r=Math.max(0,Math.floor(e[0]*t),0),n=Math.min(t,Math.ceil(e[1]*t),t);return[Math.min(r,n),Math.max(r,n)]}oUe.exports=function(e,t){var r=t.context,n=t.pick,i=t.regl,a=i._gl,o=a.getParameter(a.ALIASED_LINE_WIDTH_RANGE),s=Math.max(o[0],Math.min(o[1],t.viewModel.plotGlPixelRatio)),l={currentRafs:{},drawCompleted:!0,clearOnly:!1},u,c,f,h,d=HVt(i),v,x=i.texture(eUe),b=[];C(t);var p=i({profile:!1,blend:{enable:r,func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:1,dstAlpha:1},equation:{rgb:\"add\",alpha:\"add\"},color:[0,0,0,0]},depth:{enable:!r,mask:!0,func:\"less\",range:[0,1]},cull:{enable:!0,face:\"back\"},scissor:{enable:!0,box:{x:i.prop(\"scissorX\"),y:i.prop(\"scissorY\"),width:i.prop(\"scissorWidth\"),height:i.prop(\"scissorHeight\")}},viewport:{x:i.prop(\"viewportX\"),y:i.prop(\"viewportY\"),width:i.prop(\"viewportWidth\"),height:i.prop(\"viewportHeight\")},dither:!1,vert:DVt,frag:FVt,primitive:\"lines\",lineWidth:s,attributes:d,uniforms:{resolution:i.prop(\"resolution\"),viewBoxPos:i.prop(\"viewBoxPos\"),viewBoxSize:i.prop(\"viewBoxSize\"),dim0A:i.prop(\"dim0A\"),dim1A:i.prop(\"dim1A\"),dim0B:i.prop(\"dim0B\"),dim1B:i.prop(\"dim1B\"),dim0C:i.prop(\"dim0C\"),dim1C:i.prop(\"dim1C\"),dim0D:i.prop(\"dim0D\"),dim1D:i.prop(\"dim1D\"),loA:i.prop(\"loA\"),hiA:i.prop(\"hiA\"),loB:i.prop(\"loB\"),hiB:i.prop(\"hiB\"),loC:i.prop(\"loC\"),hiC:i.prop(\"hiC\"),loD:i.prop(\"loD\"),hiD:i.prop(\"hiD\"),palette:x,contextColor:i.prop(\"contextColor\"),maskTexture:i.prop(\"maskTexture\"),drwLayer:i.prop(\"drwLayer\"),maskHeight:i.prop(\"maskHeight\")},offset:i.prop(\"offset\"),count:i.prop(\"count\")});function C(M){u=M.model,c=M.viewModel,f=c.dimensions.slice(),h=f[0]?f[0].values.length:0;var g=u.lines,P=n?g.color.map(function(z,O){return O/g.color.length}):g.color,T=UVt(h,f,P);GVt(d,h,T),!r&&!n&&(x=i.texture(iUe.extendFlat({data:NVt(u.unitToColor,255)},eUe)))}function E(M){var g,P,T,z=[[],[]];for(T=0;T<64;T++){var O=!M&&T<f.length?f[T].brush.filter.getBounds():[-1/0,1/0];z[0][T]=O[0],z[1][T]=O[1]}var V=Oz*8,G=new Array(V);for(g=0;g<V;g++)G[g]=255;if(!M)for(g=0;g<f.length;g++){var Z=g%8,H=(g-Z)/8,N=Math.pow(2,Z),j=f[g],re=j.brush.filter.get();if(!(re.length<2)){var oe=rUe(re[0])[1];for(P=1;P<re.length;P++){var _e=rUe(re[P]);for(T=oe+1;T<_e[0];T++)G[T*8+H]&=~N;oe=Math.max(oe,_e[1])}}}var Me={shape:[8,Oz],format:\"alpha\",type:\"uint8\",mag:\"nearest\",min:\"nearest\",data:G};return 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i(\"line.colorscale\"),gGt(e,t,n,i,{prefix:\"line.\",cLetter:\"c\"}),a.length;t.line.color=r}return 1/0}function wGt(e,t){function r(u,c){return _5.coerce(e,t,BUe.dimensions,u,c)}var n=r(\"values\"),i=r(\"visible\");if(n&&n.length||(i=t.visible=!1),i){r(\"label\"),r(\"displayindex\",t._index);var a=e.categoryarray,o=_5.isArrayOrTypedArray(a)&&a.length>0||xGt(a),s;o&&(s=\"array\");var l=r(\"categoryorder\",s);l===\"array\"?(r(\"categoryarray\"),r(\"ticktext\")):(delete e.categoryarray,delete e.ticktext),!o&&l===\"array\"&&(t.categoryorder=\"trace\")}}NUe.exports=function(t,r,n,i){function a(u,c){return _5.coerce(t,r,BUe,u,c)}var o=yGt(t,r,{name:\"dimensions\",handleItemDefaults:wGt}),s=bGt(t,r,n,i,a);mGt(r,i,a),(!Array.isArray(o)||!o.length)&&(r.visible=!1),_Gt(r,o,\"values\",s),a(\"hoveron\"),a(\"hovertemplate\"),a(\"arrangement\"),a(\"bundlecolors\"),a(\"sortpaths\"),a(\"counts\");var l=i.font;_5.coerceFont(a,\"labelfont\",l,{overrideDflt:{size:Math.round(l.size)}}),_5.coerceFont(a,\"tickfont\",l,{autoShadowDflt:!0,overrideDflt:{size:Math.round(l.size/1.2)}})}});var GUe=ye((o_r,VUe)=>{\"use strict\";var TGt=Km().wrap,AGt=Dv().hasColorscale,SGt=Fv(),MGt=ZO(),EGt=So(),DC=Dr(),CGt=Eo();VUe.exports=function(t,r){var n=DC.filterVisible(r.dimensions);if(n.length===0)return[];var i=n.map(function(g){var P;if(g.categoryorder===\"trace\")P=null;else if(g.categoryorder===\"array\")P=g.categoryarray;else{P=MGt(g.values);for(var T=!0,z=0;z<P.length;z++)if(!CGt(P[z])){T=!1;break}P.sort(T?DC.sorterAsc:void 0),g.categoryorder===\"category descending\"&&(P=P.reverse())}return FGt(g.values,P)}),a,o,s;DC.isArrayOrTypedArray(r.counts)?a=r.counts:a=[r.counts],zGt(n),n.forEach(function(g,P){OGt(g,i[P])});var l=r.line,u;l?(AGt(r,\"line\")&&SGt(t,r,{vals:r.line.color,containerStr:\"line\",cLetter:\"c\"}),u=EGt.tryColorscale(l)):u=DC.identity;function c(g){var P,T;return DC.isArrayOrTypedArray(l.color)?(P=l.color[g%l.color.length],T=P):P=l.color,{color:u(P),rawColor:T}}var f=n[0].values.length,h={},d=i.map(function(g){return g.inds});s=0;var v,x;for(v=0;v<f;v++){var b=[];for(x=0;x<d.length;x++)b.push(d[x][v]);o=a[v%a.length],s+=o;var p=c(v),C=b+\"-\"+p.rawColor;h[C]===void 0&&(h[C]=RGt(b,p.color,p.rawColor)),DGt(h[C],v,o)}var E=n.map(function(g,P){return LGt(P,g._index,g._displayindex,g.label,s)});for(v=0;v<f;v++)for(o=a[v%a.length],x=0;x<E.length;x++){var A=E[x].containerInd,L=i[x].inds[v],_=E[x].categories;if(_[L]===void 0){var k=r.dimensions[A]._categoryarray[L],M=r.dimensions[A]._ticktext[L];_[L]=PGt(x,L,k,M)}IGt(_[L],v,o)}return TGt(kGt(E,h,s))};function kGt(e,t,r){var n=e.map(function(i){return i.categories.length}).reduce(function(i,a){return Math.max(i,a)});return{dimensions:e,paths:t,trace:void 0,maxCats:n,count:r}}function LGt(e,t,r,n,i){return{dimensionInd:e,containerInd:t,displayInd:r,dimensionLabel:n,count:i,categories:[],dragX:null}}function PGt(e,t,r,n){return{dimensionInd:e,categoryInd:t,categoryValue:r,displayInd:t,categoryLabel:n,valueInds:[],count:0,dragY:null}}function IGt(e,t,r){e.valueInds.push(t),e.count+=r}function RGt(e,t,r){return{categoryInds:e,color:t,rawColor:r,valueInds:[],count:0}}function DGt(e,t,r){e.valueInds.push(t),e.count+=r}function FGt(e,t){t==null?t=[]:t=t.map(function(u){return u});var r={},n={},i=[];t.forEach(function(u,c){r[u]=0,n[u]=c});for(var a=0;a<e.length;a++){var o=e[a],s;r[o]===void 0?(r[o]=1,s=t.push(o)-1,n[o]=s):(r[o]++,s=n[o]),i.push(s)}var l=t.map(function(u){return r[u]});return{uniqueValues:t,uniqueCounts:l,inds:i}}function zGt(e){var t=e.map(function(n){return n.displayindex}),r;if(qGt(t))for(r=0;r<e.length;r++)e[r]._displayindex=e[r].displayindex;else for(r=0;r<e.length;r++)e[r]._displayindex=r}function OGt(e,t){e._categoryarray=t.uniqueValues,e.ticktext===null||e.ticktext===void 0?e._ticktext=[]:e._ticktext=e.ticktext.slice();for(var r=e._ticktext.length;r<t.uniqueValues.length;r++)e._ticktext.push(t.uniqueValues[r])}function qGt(e){for(var t=new Array(e.length),r=0;r<e.length;r++){if(e[r]<0||e[r]>=e.length||t[e[r]]!==void 0)return!1;t[e[r]]=!0}return!0}});var $Ue=ye((s_r,JUe)=>{\"use strict\";var Dl=Oa(),BGt=(R2(),B1(I2)).interpolateNumber,NGt=UP(),OC=vf(),yx=Dr(),FC=yx.strTranslate,HUe=So(),NK=cd(),UGt=iu();function VGt(e,t,r,n){var i=t._context.staticPlot,a=e.map(iHt.bind(0,t,r)),o=n.selectAll(\"g.parcatslayer\").data([null]);o.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",i?\"none\":\"all\");var s=o.selectAll(\"g.trace.parcats\").data(a,u1),l=s.enter().append(\"g\").attr(\"class\",\"trace parcats\");s.attr(\"transform\",function(C){return FC(C.x,C.y)}),l.append(\"g\").attr(\"class\",\"paths\");var u=s.select(\"g.paths\"),c=u.selectAll(\"path.path\").data(function(C){return C.paths},u1);c.attr(\"fill\",function(C){return C.model.color});var f=c.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",function(C){return C.model.color}).attr(\"fill-opacity\",0);GK(f),c.attr(\"d\",function(C){return C.svgD}),f.empty()||c.sort(UK),c.exit().remove(),c.on(\"mouseover\",GGt).on(\"mouseout\",HGt).on(\"click\",jGt),l.append(\"g\").attr(\"class\",\"dimensions\");var h=s.select(\"g.dimensions\"),d=h.selectAll(\"g.dimension\").data(function(C){return C.dimensions},u1);d.enter().append(\"g\").attr(\"class\",\"dimension\"),d.attr(\"transform\",function(C){return FC(C.x,0)}),d.exit().remove();var v=d.selectAll(\"g.category\").data(function(C){return C.categories},u1),x=v.enter().append(\"g\").attr(\"class\",\"category\");v.attr(\"transform\",function(C){return FC(0,C.y)}),x.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),v.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",function(C){return C.width}).attr(\"height\",function(C){return C.height}),WUe(x);var b=v.selectAll(\"rect.bandrect\").data(function(C){return C.bands},u1);b.each(function(){yx.raiseToTop(this)}),b.attr(\"fill\",function(C){return C.color});var p=b.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",function(C){return C.color}).attr(\"fill-opacity\",0);b.attr(\"fill\",function(C){return C.color}).attr(\"width\",function(C){return C.width}).attr(\"height\",function(C){return C.height}).attr(\"y\",function(C){return C.y}).attr(\"cursor\",function(C){return C.parcatsViewModel.arrangement===\"fixed\"?\"default\":C.parcatsViewModel.arrangement===\"perpendicular\"?\"ns-resize\":\"move\"}),jK(p),b.exit().remove(),x.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\"),v.select(\"text.catlabel\").attr(\"text-anchor\",function(C){return zC(C)?\"start\":\"end\"}).attr(\"alignment-baseline\",\"middle\").style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",function(C){return zC(C)?C.width+5:-5}).attr(\"y\",function(C){return C.height/2}).text(function(C){return C.model.categoryLabel}).each(function(C){HUe.font(Dl.select(this),C.parcatsViewModel.categorylabelfont),UGt.convertToTspans(Dl.select(this),t)}),x.append(\"text\").attr(\"class\",\"dimlabel\"),v.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",function(C){return C.parcatsViewModel.arrangement===\"fixed\"?\"default\":\"ew-resize\"}).attr(\"x\",function(C){return C.width/2}).attr(\"y\",-5).text(function(C,E){return E===0?C.parcatsViewModel.model.dimensions[C.model.dimensionInd].dimensionLabel:null}).each(function(C){HUe.font(Dl.select(this),C.parcatsViewModel.labelfont)}),v.selectAll(\"rect.bandrect\").on(\"mouseover\",$Gt).on(\"mouseout\",QGt),v.exit().remove(),d.call(Dl.behavior.drag().origin(function(C){return{x:C.x,y:0}}).on(\"dragstart\",eHt).on(\"drag\",tHt).on(\"dragend\",rHt)),s.each(function(C){C.traceSelection=Dl.select(this),C.pathSelection=Dl.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),C.dimensionSelection=Dl.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")}),s.exit().remove()}JUe.exports=function(e,t,r,n){VGt(r,e,n,t)};function u1(e){return e.key}function zC(e){var t=e.parcatsViewModel.dimensions.length,r=e.parcatsViewModel.dimensions[t-1].model.dimensionInd;return e.model.dimensionInd===r}function UK(e,t){return e.model.rawColor>t.model.rawColor?1:e.model.rawColor<t.model.rawColor?-1:0}function GGt(e){if(!e.parcatsViewModel.dragDimension&&e.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")===-1){yx.raiseToTop(this),HK(Dl.select(this));var t=qC(e),r=VK(e);if(e.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:t,event:Dl.event,constraints:r}),e.parcatsViewModel.hoverinfoItems.indexOf(\"none\")===-1){var n=Dl.mouse(this)[0],i=e.parcatsViewModel.graphDiv,a=e.parcatsViewModel.trace,o=i._fullLayout,s=o._paperdiv.node().getBoundingClientRect(),l=e.parcatsViewModel.graphDiv.getBoundingClientRect(),u,c,f;for(f=0;f<e.leftXs.length-1;f++)if(e.leftXs[f]+e.dimWidths[f]-2<=n&&n<=e.leftXs[f+1]+2){var h=e.parcatsViewModel.dimensions[f],d=e.parcatsViewModel.dimensions[f+1];u=(h.x+h.width+d.x)/2,c=(e.topYs[f]+e.topYs[f+1]+e.height)/2;break}var v=e.parcatsViewModel.x+u,x=e.parcatsViewModel.y+c,b=NK.mostReadable(e.model.color,[\"black\",\"white\"]),p=e.model.count,C=p/e.parcatsViewModel.model.count,E={countLabel:p,probabilityLabel:C.toFixed(3)},A=[];e.parcatsViewModel.hoverinfoItems.indexOf(\"count\")!==-1&&A.push([\"Count:\",E.countLabel].join(\" \")),e.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")!==-1&&A.push([\"P:\",E.probabilityLabel].join(\" \"));var L=A.join(\"<br>\"),_=Dl.mouse(i)[0];OC.loneHover({trace:a,x:v-s.left+l.left,y:x-s.top+l.top,text:L,color:e.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:b,idealAlign:_<v?\"right\":\"left\",hovertemplate:(a.line||{}).hovertemplate,hovertemplateLabels:E,eventData:[{data:a._input,fullData:a,count:p,probability:C}]},{container:o._hoverlayer.node(),outerContainer:o._paper.node(),gd:i})}}}function HGt(e){if(!e.parcatsViewModel.dragDimension&&(GK(Dl.select(this)),OC.loneUnhover(e.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),e.parcatsViewModel.pathSelection.sort(UK),e.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")===-1)){var t=qC(e),r=VK(e);e.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:t,event:Dl.event,constraints:r})}}function qC(e){for(var t=[],r=ZUe(e.parcatsViewModel),n=0;n<e.model.valueInds.length;n++){var i=e.model.valueInds[n];t.push({curveNumber:r,pointNumber:i})}return t}function VK(e){for(var t={},r=e.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[e.model.categoryInds[n]];t[i.containerInd]=a.categoryValue}return e.model.rawColor!==void 0&&(t.color=e.model.rawColor),t}function jGt(e){if(e.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")===-1){var t=qC(e),r=VK(e);e.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:t,event:Dl.event,constraints:r})}}function GK(e){e.attr(\"fill\",function(t){return t.model.color}).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function HK(e){e.attr(\"fill-opacity\",.8).attr(\"stroke\",function(t){return NK.mostReadable(t.model.color,[\"black\",\"white\"])}).attr(\"stroke-width\",.3)}function WGt(e){e.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}function WUe(e){e.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function XGt(e){e.attr(\"stroke\",\"black\").attr(\"stroke-width\",1.5)}function jK(e){e.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function Nz(e){var t=e.parcatsViewModel.pathSelection,r=e.categoryViewModel.model.dimensionInd,n=e.categoryViewModel.model.categoryInd;return t.filter(function(i){return i.model.categoryInds[r]===n&&i.model.color===e.color})}function ZGt(e){var t=Dl.select(e.parentNode).selectAll(\"rect.bandrect\");t.each(function(r){var n=Nz(r);HK(n),n.each(function(){yx.raiseToTop(this)})}),WGt(Dl.select(e.parentNode))}function YGt(e){var t=Dl.select(e).datum(),r=Nz(t);HK(r),r.each(function(){yx.raiseToTop(this)}),Dl.select(e.parentNode).selectAll(\"rect.bandrect\").filter(function(n){return n.color===t.color}).each(function(){yx.raiseToTop(this),XGt(Dl.select(this))})}function WK(e,t,r){var n=Dl.select(e).datum(),i=n.categoryViewModel.model,a=n.parcatsViewModel.graphDiv,o=Dl.select(e.parentNode).selectAll(\"rect.bandrect\"),s=[];o.each(function(u){var c=Nz(u);c.each(function(f){Array.prototype.push.apply(s,qC(f))})});var l={};l[i.dimensionInd]=i.categoryValue,a.emit(t,{points:s,event:r,constraints:l})}function XK(e,t,r){var n=Dl.select(e).datum(),i=n.categoryViewModel.model,a=n.parcatsViewModel.graphDiv,o=Nz(n),s=[];o.each(function(u){Array.prototype.push.apply(s,qC(u))});var l={};l[i.dimensionInd]=i.categoryValue,n.rawColor!==void 0&&(l.color=n.rawColor),a.emit(t,{points:s,event:r,constraints:l})}function XUe(e,t,r){e._fullLayout._calcInverseTransform(e);var n=e._fullLayout._invScaleX,i=e._fullLayout._invScaleY,a=Dl.select(r.parentNode).select(\"rect.catrect\"),o=a.node().getBoundingClientRect(),s=a.datum(),l=s.parcatsViewModel,u=l.model.dimensions[s.model.dimensionInd],c=l.trace,f=o.top+o.height/2,h,d;l.dimensions.length>1&&u.displayInd===l.dimensions.length-1?(h=o.left,d=\"left\"):(h=o.left+o.width,d=\"right\");var v=s.model.count,x=s.model.categoryLabel,b=v/s.parcatsViewModel.model.count,p={countLabel:v,categoryLabel:x,probabilityLabel:b.toFixed(3)},C=[];s.parcatsViewModel.hoverinfoItems.indexOf(\"count\")!==-1&&C.push([\"Count:\",p.countLabel].join(\" \")),s.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")!==-1&&C.push([\"P(\"+p.categoryLabel+\"):\",p.probabilityLabel].join(\" \"));var E=C.join(\"<br>\");return{trace:c,x:n*(h-t.left),y:i*(f-t.top),text:E,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:d,hovertemplate:c.hovertemplate,hovertemplateLabels:p,eventData:[{data:c._input,fullData:c,count:v,category:x,probability:b}]}}function KGt(e,t,r){var n=[];return Dl.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each(function(){var i=this;n.push(XUe(e,t,i))}),n}function JGt(e,t,r){e._fullLayout._calcInverseTransform(e);var n=e._fullLayout._invScaleX,i=e._fullLayout._invScaleY,a=r.getBoundingClientRect(),o=Dl.select(r).datum(),s=o.categoryViewModel,l=s.parcatsViewModel,u=l.model.dimensions[s.model.dimensionInd],c=l.trace,f=a.y+a.height/2,h,d;l.dimensions.length>1&&u.displayInd===l.dimensions.length-1?(h=a.left,d=\"left\"):(h=a.left+a.width,d=\"right\");var v=s.model.categoryLabel,x=o.parcatsViewModel.model.count,b=0;o.categoryViewModel.bands.forEach(function(P){P.color===o.color&&(b+=P.count)});var p=s.model.count,C=0;l.pathSelection.each(function(P){P.model.color===o.color&&(C+=P.model.count)});var E=b/x,A=b/C,L=b/p,_={countLabel:b,categoryLabel:v,probabilityLabel:E.toFixed(3)},k=[];s.parcatsViewModel.hoverinfoItems.indexOf(\"count\")!==-1&&k.push([\"Count:\",_.countLabel].join(\" \")),s.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")!==-1&&(k.push(\"P(color \\u2229 \"+v+\"): \"+_.probabilityLabel),k.push(\"P(\"+v+\" | color): \"+A.toFixed(3)),k.push(\"P(color | \"+v+\"): \"+L.toFixed(3)));var M=k.join(\"<br>\"),g=NK.mostReadable(o.color,[\"black\",\"white\"]);return{trace:c,x:n*(h-t.left),y:i*(f-t.top),text:M,color:o.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:g,fontSize:10,idealAlign:d,hovertemplate:c.hovertemplate,hovertemplateLabels:_,eventData:[{data:c._input,fullData:c,category:v,count:x,probability:E,categorycount:p,colorcount:C,bandcolorcount:b}]}}function $Gt(e){if(!e.parcatsViewModel.dragDimension&&e.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")===-1){var t=Dl.mouse(this)[1];if(t<-1)return;var r=e.parcatsViewModel.graphDiv,n=r._fullLayout,i=n._paperdiv.node().getBoundingClientRect(),a=e.parcatsViewModel.hoveron,o=this;if(a===\"color\"?(YGt(o),XK(o,\"plotly_hover\",Dl.event)):(ZGt(o),WK(o,\"plotly_hover\",Dl.event)),e.parcatsViewModel.hoverinfoItems.indexOf(\"none\")===-1){var s;a===\"category\"?s=XUe(r,i,o):a===\"color\"?s=JGt(r,i,o):a===\"dimension\"&&(s=KGt(r,i,o)),s&&OC.loneHover(s,{container:n._hoverlayer.node(),outerContainer:n._paper.node(),gd:r})}}}function QGt(e){var t=e.parcatsViewModel;if(!t.dragDimension&&(GK(t.pathSelection),WUe(t.dimensionSelection.selectAll(\"g.category\")),jK(t.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),OC.loneUnhover(t.graphDiv._fullLayout._hoverlayer.node()),t.pathSelection.sort(UK),t.hoverinfoItems.indexOf(\"skip\")===-1)){var r=e.parcatsViewModel.hoveron,n=this;r===\"color\"?XK(n,\"plotly_unhover\",Dl.event):WK(n,\"plotly_unhover\",Dl.event)}}function eHt(e){e.parcatsViewModel.arrangement!==\"fixed\"&&(e.dragDimensionDisplayInd=e.model.displayInd,e.initialDragDimensionDisplayInds=e.parcatsViewModel.model.dimensions.map(function(t){return t.displayInd}),e.dragHasMoved=!1,e.dragCategoryDisplayInd=null,Dl.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each(function(t){var r=Dl.mouse(this)[0],n=Dl.mouse(this)[1];-2<=r&&r<=t.width+2&&-2<=n&&n<=t.height+2&&(e.dragCategoryDisplayInd=t.model.displayInd,e.initialDragCategoryDisplayInds=e.model.categories.map(function(i){return i.displayInd}),t.model.dragY=t.y,yx.raiseToTop(this.parentNode),Dl.select(this.parentNode).selectAll(\"rect.bandrect\").each(function(i){i.y<n&&n<=i.y+i.height&&(e.potentialClickBand=this)}))}),e.parcatsViewModel.dragDimension=e,OC.loneUnhover(e.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function tHt(e){if(e.parcatsViewModel.arrangement!==\"fixed\"&&(e.dragHasMoved=!0,e.dragDimensionDisplayInd!==null)){var t=e.dragDimensionDisplayInd,r=t-1,n=t+1,i=e.parcatsViewModel.dimensions[t];if(e.dragCategoryDisplayInd!==null){var a=i.categories[e.dragCategoryDisplayInd];a.model.dragY+=Dl.event.dy;var o=a.model.dragY,s=a.model.displayInd,l=i.categories,u=l[s-1],c=l[s+1];u!==void 0&&o<u.y+u.height/2&&(a.model.displayInd=u.model.displayInd,u.model.displayInd=s),c!==void 0&&o+a.height>c.y+c.height/2&&(a.model.displayInd=c.model.displayInd,c.model.displayInd=s),e.dragCategoryDisplayInd=a.model.displayInd}if(e.dragCategoryDisplayInd===null||e.parcatsViewModel.arrangement===\"freeform\"){i.model.dragX=Dl.event.x;var f=e.parcatsViewModel.dimensions[r],h=e.parcatsViewModel.dimensions[n];f!==void 0&&i.model.dragX<f.x+f.width&&(i.model.displayInd=f.model.displayInd,f.model.displayInd=t),h!==void 0&&i.model.dragX+i.width>h.x&&(i.model.displayInd=h.model.displayInd,h.model.displayInd=e.dragDimensionDisplayInd),e.dragDimensionDisplayInd=i.model.displayInd}YK(e.parcatsViewModel),ZK(e.parcatsViewModel),KUe(e.parcatsViewModel),YUe(e.parcatsViewModel)}}function rHt(e){if(e.parcatsViewModel.arrangement!==\"fixed\"&&e.dragDimensionDisplayInd!==null){Dl.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var t={},r=ZUe(e.parcatsViewModel),n=e.parcatsViewModel.model.dimensions.map(function(h){return h.displayInd}),i=e.initialDragDimensionDisplayInds.some(function(h,d){return h!==n[d]});i&&n.forEach(function(h,d){var v=e.parcatsViewModel.model.dimensions[d].containerInd;t[\"dimensions[\"+v+\"].displayindex\"]=h});var a=!1;if(e.dragCategoryDisplayInd!==null){var o=e.model.categories.map(function(h){return h.displayInd});if(a=e.initialDragCategoryDisplayInds.some(function(h,d){return h!==o[d]}),a){var s=e.model.categories.slice().sort(function(h,d){return h.displayInd-d.displayInd}),l=s.map(function(h){return h.categoryValue}),u=s.map(function(h){return h.categoryLabel});t[\"dimensions[\"+e.model.containerInd+\"].categoryarray\"]=[l],t[\"dimensions[\"+e.model.containerInd+\"].ticktext\"]=[u],t[\"dimensions[\"+e.model.containerInd+\"].categoryorder\"]=\"array\"}}if(e.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")===-1&&!e.dragHasMoved&&e.potentialClickBand&&(e.parcatsViewModel.hoveron===\"color\"?XK(e.potentialClickBand,\"plotly_click\",Dl.event.sourceEvent):WK(e.potentialClickBand,\"plotly_click\",Dl.event.sourceEvent)),e.model.dragX=null,e.dragCategoryDisplayInd!==null){var c=e.parcatsViewModel.dimensions[e.dragDimensionDisplayInd].categories[e.dragCategoryDisplayInd];c.model.dragY=null,e.dragCategoryDisplayInd=null}e.dragDimensionDisplayInd=null,e.parcatsViewModel.dragDimension=null,e.dragHasMoved=null,e.potentialClickBand=null,YK(e.parcatsViewModel),ZK(e.parcatsViewModel);var f=Dl.transition().duration(300).ease(\"cubic-in-out\");f.each(function(){KUe(e.parcatsViewModel,!0),YUe(e.parcatsViewModel,!0)}).each(\"end\",function(){(i||a)&&NGt.restyle(e.parcatsViewModel.graphDiv,t,[r])})}}function ZUe(e){for(var t,r=e.graphDiv._fullData,n=0;n<r.length;n++)if(e.key===r[n].uid){t=n;break}return t}function YUe(e,t){t===void 0&&(t=!1);function r(n){return t?n.transition():n}e.pathSelection.data(function(n){return n.paths},u1),r(e.pathSelection).attr(\"d\",function(n){return n.svgD})}function KUe(e,t){t===void 0&&(t=!1);function r(l){return t?l.transition():l}e.dimensionSelection.data(function(l){return l.dimensions},u1);var n=e.dimensionSelection.selectAll(\"g.category\").data(function(l){return l.categories},u1);r(e.dimensionSelection).attr(\"transform\",function(l){return FC(l.x,0)}),r(n).attr(\"transform\",function(l){return FC(0,l.y)});var i=n.select(\".dimlabel\");i.text(function(l,u){return u===0?l.parcatsViewModel.model.dimensions[l.model.dimensionInd].dimensionLabel:null});var a=n.select(\".catlabel\");a.attr(\"text-anchor\",function(l){return zC(l)?\"start\":\"end\"}).attr(\"x\",function(l){return zC(l)?l.width+5:-5}).each(function(l){var u,c;zC(l)?(u=l.width+5,c=\"start\"):(u=-5,c=\"end\"),Dl.select(this).selectAll(\"tspan\").attr(\"x\",u).attr(\"text-anchor\",c)});var o=n.selectAll(\"rect.bandrect\").data(function(l){return l.bands},u1),s=o.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",function(l){return l.color}).attr(\"fill-opacity\",0);o.attr(\"fill\",function(l){return l.color}).attr(\"width\",function(l){return l.width}).attr(\"height\",function(l){return l.height}).attr(\"y\",function(l){return l.y}),jK(s),o.each(function(){yx.raiseToTop(this)}),o.exit().remove()}function iHt(e,t,r){var n=r[0],i=t.margin||{l:80,r:80,t:100,b:80},a=n.trace,o=a.domain,s=t.width,l=t.height,u=Math.floor(s*(o.x[1]-o.x[0])),c=Math.floor(l*(o.y[1]-o.y[0])),f=o.x[0]*s+i.l,h=t.height-o.y[1]*t.height+i.t,d=a.line.shape,v;a.hoverinfo===\"all\"?v=[\"count\",\"probability\"]:v=(a.hoverinfo||\"\").split(\"+\");var x={trace:a,key:a.uid,model:n,x:f,y:h,width:u,height:c,hoveron:a.hoveron,hoverinfoItems:v,arrangement:a.arrangement,bundlecolors:a.bundlecolors,sortpaths:a.sortpaths,labelfont:a.labelfont,categorylabelfont:a.tickfont,pathShape:d,dragDimension:null,margin:i,paths:[],dimensions:[],graphDiv:e,traceSelection:null,pathSelection:null,dimensionSelection:null};return n.dimensions&&(YK(x),ZK(x)),x}function jUe(e,t,r,n,i){var a=[],o=[],s,l;for(l=0;l<r.length-1;l++)s=BGt(r[l]+e[l],e[l+1]),a.push(s(i)),o.push(s(1-i));var u=\"M \"+e[0]+\",\"+t[0];for(u+=\"l\"+r[0]+\",0 \",l=1;l<r.length;l++)u+=\"C\"+a[l-1]+\",\"+t[l-1]+\" \"+o[l-1]+\",\"+t[l]+\" \"+e[l]+\",\"+t[l],u+=\"l\"+r[l]+\",0 \";for(u+=\"l0,\"+n+\" \",u+=\"l -\"+r[r.length-1]+\",0 \",l=r.length-2;l>=0;l--)u+=\"C\"+o[l]+\",\"+(t[l+1]+n)+\" \"+a[l]+\",\"+(t[l]+n)+\" \"+(e[l]+r[l])+\",\"+(t[l]+n),u+=\"l-\"+r[l]+\",0 \";return u+=\"Z\",u}function ZK(e){var t=e.dimensions,r=e.model,n=t.map(function(O){return O.categories.map(function(V){return V.y})}),i=e.model.dimensions.map(function(O){return O.categories.map(function(V){return V.displayInd})}),a=e.model.dimensions.map(function(O){return O.displayInd}),o=e.dimensions.map(function(O){return O.model.dimensionInd}),s=t.map(function(O){return O.x}),l=t.map(function(O){return O.width}),u=[];for(var c in r.paths)r.paths.hasOwnProperty(c)&&u.push(r.paths[c]);function f(O){var V=O.categoryInds.map(function(Z,H){return i[H][Z]}),G=o.map(function(Z){return V[Z]});return G}u.sort(function(O,V){var G=f(O),Z=f(V);return e.sortpaths===\"backward\"&&(G.reverse(),Z.reverse()),G.push(O.valueInds[0]),Z.push(V.valueInds[0]),e.bundlecolors&&(G.unshift(O.rawColor),Z.unshift(V.rawColor)),G<Z?-1:G>Z?1:0});for(var h=new Array(u.length),d=t[0].model.count,v=t[0].categories.map(function(O){return O.height}).reduce(function(O,V){return O+V}),x=0;x<u.length;x++){var b=u[x],p;d>0?p=v*(b.count/d):p=0;for(var C=new Array(n.length),E=0;E<b.categoryInds.length;E++){var A=b.categoryInds[E],L=i[E][A],_=a[E];C[_]=n[_][L],n[_][L]+=p;var k=e.dimensions[_].categories[L],M=k.bands.length,g=k.bands[M-1];if(g===void 0||b.rawColor!==g.rawColor){var P=g===void 0?0:g.y+g.height;k.bands.push({key:P,color:b.color,rawColor:b.rawColor,height:p,width:k.width,count:b.count,y:P,categoryViewModel:k,parcatsViewModel:e})}else{var T=k.bands[M-1];T.height+=p,T.count+=b.count}}var z;e.pathShape===\"hspline\"?z=jUe(s,C,l,p,.5):z=jUe(s,C,l,p,0),h[x]={key:b.valueInds[0],model:b,height:p,leftXs:s,topYs:C,dimWidths:l,svgD:z,parcatsViewModel:e}}e.paths=h}function YK(e){var t=e.model.dimensions.map(function(o){return{displayInd:o.displayInd,dimensionInd:o.dimensionInd}});t.sort(function(o,s){return o.displayInd-s.displayInd});var r=[];for(var n in t){var i=t[n].dimensionInd,a=e.model.dimensions[i];r.push(nHt(e,a))}e.dimensions=r}function nHt(e,t){var r=40,n=16,i=e.model.dimensions.length,a=t.displayInd,o,s,l;i>1?o=(e.width-2*r-n)/(i-1):o=0,s=r,l=s+o*a;var u=[],c=e.model.maxCats,f=t.categories.length,h=8,d=t.count,v=e.height-h*(c-1),x,b,p,C,E,A=(c-f)*h/2,L=t.categories.map(function(_){return{displayInd:_.displayInd,categoryInd:_.categoryInd}});for(L.sort(function(_,k){return _.displayInd-k.displayInd}),E=0;E<f;E++)C=L[E].categoryInd,b=t.categories[C],d>0?x=b.count/d*v:x=0,p={key:b.valueInds[0],model:b,width:n,height:x,y:b.dragY!==null?b.dragY:A,bands:[],parcatsViewModel:e},A=A+x+h,u.push(p);return{key:t.dimensionInd,x:t.dragX!==null?t.dragX:l,y:0,width:n,model:t,categories:u,parcatsViewModel:e,dragCategoryDisplayInd:null,dragDimensionDisplayInd:null,initialDragDimensionDisplayInds:null,initialDragCategoryDisplayInds:null,dragHasMoved:null,potentialClickBand:null}}});var KK=ye((l_r,QUe)=>{\"use strict\";var aHt=$Ue();QUe.exports=function(t,r,n,i){var a=t._fullLayout,o=a._paper,s=a._size;aHt(t,o,r,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},n,i)}});var tVe=ye(Uz=>{\"use strict\";var oHt=Id().getModuleCalcData,sHt=KK(),eVe=\"parcats\";Uz.name=eVe;Uz.plot=function(e,t,r,n){var i=oHt(e.calcdata,eVe);if(i.length){var a=i[0];sHt(e,a,r,n)}};Uz.clean=function(e,t,r,n){var i=n._has&&n._has(\"parcats\"),a=t._has&&t._has(\"parcats\");i&&!a&&n._paperdiv.selectAll(\".parcats\").remove()}});var iVe=ye((c_r,rVe)=>{\"use strict\";rVe.exports={attributes:BK(),supplyDefaults:UUe(),calc:GUe(),plot:KK(),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcats\",basePlotModule:tVe(),categories:[\"noOpacity\"],meta:{}}});var aVe=ye((f_r,nVe)=>{\"use strict\";nVe.exports=iVe()});var c1=ye((h_r,hVe)=>{\"use strict\";var lHt=Y1(),oVe=\"1.13.4\",cVe='\\xA9 <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">OpenStreetMap</a> contributors',sVe=['\\xA9 <a target=\"_blank\" href=\"https://carto.com/\">Carto</a>',cVe].join(\" \"),lVe=['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 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custom plotly.js bundle is not using the correct mapbox-gl version\",\"Please install @plotly/mapbox-gl@\"+oVe+\".\"].join(`\n",
       "`),noAccessTokenErrorMsg:[\"Missing Mapbox access token.\",\"Mapbox trace type require a Mapbox access token to be registered.\",\"For example:\",\"  Plotly.newPlot(gd, data, layout, { mapboxAccessToken: 'my-access-token' });\",\"More info here: https://www.mapbox.com/help/define-access-token/\"].join(`\n",
       "`),missingStyleErrorMsg:[\"No valid mapbox style found, please set `mapbox.style` to one of:\",uVe.join(\", \"),\"or register a Mapbox access token to use a Mapbox-served style.\"].join(`\n",
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dVe=Dr(),vVe=Ca().defaultLine,cHt=kc().attributes,fHt=ec(),hHt=pf().textposition,dHt=mc().overrideAll,vHt=pl().templatedArray,JK=c1(),pVe=fHt({noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0});pVe.family.dflt=\"Open Sans Regular, Arial Unicode MS Regular\";var 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Vz=ye((v_r,_Ve)=>{\"use strict\";var gHt=Qo().hovertemplateAttrs,mHt=Qo().texttemplateAttrs,yHt=Eg(),NC=G2(),x5=pf(),mVe=BC(),_Ht=Vl(),xHt=Tu(),ew=Ao().extendFlat,bHt=mc().overrideAll,wHt=BC(),yVe=NC.line,b5=NC.marker;_Ve.exports=bHt({lon:NC.lon,lat:NC.lat,cluster:{enabled:{valType:\"boolean\"},maxzoom:ew({},wHt.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:ew({},b5.opacity,{dflt:1})},mode:ew({},x5.mode,{dflt:\"markers\"}),text:ew({},x5.text,{}),texttemplate:mHt({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:ew({},x5.hovertext,{}),line:{color:yVe.color,width:yVe.width},connectgaps:x5.connectgaps,marker:ew({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:b5.opacity,size:b5.size,sizeref:b5.sizeref,sizemin:b5.sizemin,sizemode:b5.sizemode},xHt(\"marker\")),fill:NC.fill,fillcolor:yHt(),textfont:mVe.layers.symbol.textfont,textposition:mVe.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:x5.selected.marker},unselected:{marker:x5.unselected.marker},hoverinfo:ew({},_Ht.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:gHt()},\"calc\",\"nested\")});var $K=ye((p_r,xVe)=>{\"use strict\";var THt=[\"Metropolis Black Italic\",\"Metropolis Black\",\"Metropolis Bold Italic\",\"Metropolis Bold\",\"Metropolis Extra Bold Italic\",\"Metropolis Extra Bold\",\"Metropolis Extra Light Italic\",\"Metropolis Extra Light\",\"Metropolis Light Italic\",\"Metropolis Light\",\"Metropolis Medium Italic\",\"Metropolis Medium\",\"Metropolis Regular Italic\",\"Metropolis Regular\",\"Metropolis Semi Bold Italic\",\"Metropolis Semi Bold\",\"Metropolis Thin Italic\",\"Metropolis Thin\",\"Open Sans Bold Italic\",\"Open Sans Bold\",\"Open Sans Extrabold Italic\",\"Open Sans Extrabold\",\"Open Sans Italic\",\"Open Sans Light Italic\",\"Open Sans Light\",\"Open Sans Regular\",\"Open Sans Semibold Italic\",\"Open Sans Semibold\",\"Klokantech Noto Sans Bold\",\"Klokantech Noto Sans CJK Bold\",\"Klokantech Noto Sans CJK Regular\",\"Klokantech Noto Sans Italic\",\"Klokantech Noto Sans Regular\"];xVe.exports={isSupportedFont:function(e){return THt.indexOf(e)!==-1}}});var TVe=ye((g_r,wVe)=>{\"use strict\";var UC=Dr(),QK=Ru(),AHt=$p(),SHt=R0(),MHt=D0(),EHt=Ig(),bVe=Vz(),CHt=$K().isSupportedFont;wVe.exports=function(t,r,n,i){function a(p,C){return UC.coerce(t,r,bVe,p,C)}function o(p,C){return UC.coerce2(t,r,bVe,p,C)}var s=kHt(t,r,a);if(!s){r.visible=!1;return}if(a(\"text\"),a(\"texttemplate\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"mode\"),a(\"below\"),QK.hasMarkers(r)){AHt(t,r,n,i,a,{noLine:!0,noAngle:!0}),a(\"marker.allowoverlap\"),a(\"marker.angle\");var l=r.marker;l.symbol!==\"circle\"&&(UC.isArrayOrTypedArray(l.size)&&(l.size=l.size[0]),UC.isArrayOrTypedArray(l.color)&&(l.color=l.color[0]))}QK.hasLines(r)&&(SHt(t,r,n,i,a,{noDash:!0}),a(\"connectgaps\"));var u=o(\"cluster.maxzoom\"),c=o(\"cluster.step\"),f=o(\"cluster.color\",r.marker&&r.marker.color||n),h=o(\"cluster.size\"),d=o(\"cluster.opacity\"),v=u!==!1||c!==!1||f!==!1||h!==!1||d!==!1,x=a(\"cluster.enabled\",v);if(x||QK.hasText(r)){var 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p;if((a||o)&&(p=Hz.calcTraceToLineCoords(r)),a&&(h.geojson=Hz.makePolygon(p),h.layout.visibility=\"visible\",av.extendFlat(h.paint,{\"fill-color\":n.fillcolor})),o&&(d.geojson=Hz.makeLine(p),d.layout.visibility=\"visible\",av.extendFlat(d.paint,{\"line-width\":n.line.width,\"line-color\":n.line.color,\"line-opacity\":n.opacity})),u){var C=qHt(r);v.geojson=C.geojson,v.layout.visibility=\"visible\",f&&(v.filter=[\"!\",[\"has\",\"point_count\"]],b.cluster={type:\"circle\",filter:[\"has\",\"point_count\"],layout:{visibility:\"visible\"},paint:{\"circle-color\":iJ(n.cluster.color,n.cluster.step),\"circle-radius\":iJ(n.cluster.size,n.cluster.step),\"circle-opacity\":iJ(n.cluster.opacity,n.cluster.step)}},b.clusterCount={type:\"symbol\",filter:[\"has\",\"point_count\"],paint:{},layout:{\"text-field\":\"{point_count_abbreviated}\",\"text-font\":kVe(n),\"text-size\":12}}),av.extendFlat(v.paint,{\"circle-color\":C.mcc,\"circle-radius\":C.mrc,\"circle-opacity\":C.mo})}if(u&&f&&(v.filter=[\"!\",[\"has\",\"point_count\"]]),(c||l)&&(x.geojson=BHt(r,t),av.extendFlat(x.layout,{visibility:\"visible\",\"icon-image\":\"{symbol}-15\",\"text-field\":\"{text}\"}),c&&(av.extendFlat(x.layout,{\"icon-size\":n.marker.size/10}),\"angle\"in 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FVe(e,t,r,n){this.type=\"scattermapbox\",this.subplot=e,this.uid=t,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:\"source-\"+t+\"-fill\",line:\"source-\"+t+\"-line\",circle:\"source-\"+t+\"-circle\",symbol:\"source-\"+t+\"-symbol\",cluster:\"source-\"+t+\"-circle\",clusterCount:\"source-\"+t+\"-circle\"},this.layerIds={fill:w5+t+\"-fill\",line:w5+t+\"-line\",circle:w5+t+\"-circle\",symbol:w5+t+\"-symbol\",cluster:w5+t+\"-cluster\",clusterCount:w5+t+\"-cluster-count\"},this.below=null}var VC=FVe.prototype;VC.addSource=function(e,t,r){var n={type:\"geojson\",data:t.geojson};r&&r.enabled&&NHt.extendFlat(n,{cluster:!0,clusterMaxZoom:r.maxzoom});var i=this.subplot.map.getSource(this.sourceIds[e]);i?i.setData(t.geojson):this.subplot.map.addSource(this.sourceIds[e],n)};VC.setSourceData=function(e,t){this.subplot.map.getSource(this.sourceIds[e]).setData(t.geojson)};VC.addLayer=function(e,t,r){var n={type:t.type,id:this.layerIds[e],source:this.sourceIds[e],layout:t.layout,paint:t.paint};t.filter&&(n.filter=t.filter);for(var i=this.layerIds[e],a,o=this.subplot.getMapLayers(),s=0;s<o.length;s++)if(o[s].id===i){a=!0;break}a?(this.subplot.setOptions(i,\"setLayoutProperty\",n.layout),n.layout.visibility===\"visible\"&&this.subplot.setOptions(i,\"setPaintProperty\",n.paint)):this.subplot.addLayer(n,r)};VC.update=function(t){var r=t[0].trace,n=this.subplot,i=n.map,a=DVe(n.gd,t),o=n.belowLookup[\"trace-\"+this.uid],s=!!(r.cluster&&r.cluster.enabled),l=!!this.clusterEnabled,u=this;function c(E){E||u.addSource(\"circle\",a.circle,r.cluster);for(var A=rg.cluster,L=0;L<A.length;L++){var _=A[L],k=a[_];u.addLayer(_,k,o)}}function f(E){for(var A=rg.cluster,L=A.length-1;L>=0;L--){var _=A[L];i.removeLayer(u.layerIds[_])}E||i.removeSource(u.sourceIds.circle)}function h(E){for(var A=rg.nonCluster,L=0;L<A.length;L++){var _=A[L],k=a[_];E||u.addSource(_,k),u.addLayer(_,k,o)}}function d(E){for(var 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FVe(t,n.uid,i,a),s=DVe(t.gd,r),l=o.below=t.belowLookup[\"trace-\"+n.uid],u,c,f;if(i)for(o.addSource(\"circle\",s.circle,n.cluster),u=0;u<rg.cluster.length;u++)c=rg.cluster[u],f=s[c],o.addLayer(c,f,l);else for(u=0;u<rg.nonCluster.length;u++)c=rg.nonCluster[u],f=s[c],o.addSource(c,f,n.cluster),o.addLayer(c,f,l);return r[0].trace._glTrace=o,o}});var Xz=ye((b_r,BVe)=>{\"use strict\";var UHt=vf(),nJ=Dr(),VHt=oT(),GHt=nJ.fillText,HHt=hs().BADNUM,jHt=c1().traceLayerPrefix;function WHt(e,t,r){var n=e.cd,i=n[0].trace,a=e.xa,o=e.ya,s=e.subplot,l=[],u=jHt+i.uid+\"-circle\",c=i.cluster&&i.cluster.enabled;if(c){var f=s.map.queryRenderedFeatures(null,{layers:[u]});l=f.map(function(M){return M.id})}var h=t>=0?Math.floor((t+180)/360):Math.ceil((t-180)/360),d=h*360,v=t-d;function x(M){var g=M.lonlat;if(g[0]===HHt||c&&l.indexOf(M.i+1)===-1)return 1/0;var P=nJ.modHalf(g[0],360),T=g[1],z=s.project([P,T]),O=z.x-a.c2p([v,T]),V=z.y-o.c2p([P,r]),G=Math.max(3,M.mrc||0);return Math.max(Math.sqrt(O*O+V*V)-G,1-3/G)}if(UHt.getClosest(n,x,e),e.index!==!1){var b=n[e.index],p=b.lonlat,C=[nJ.modHalf(p[0],360)+d,p[1]],E=a.c2p(C),A=o.c2p(C),L=b.mrc||1;e.x0=E-L,e.x1=E+L,e.y0=A-L,e.y1=A+L;var _={};_[i.subplot]={_subplot:s};var k=i._module.formatLabels(b,i,_);return e.lonLabel=k.lonLabel,e.latLabel=k.latLabel,e.color=VHt(i,b),e.extraText=qVe(i,b,n[0].t.labels),e.hovertemplate=i.hovertemplate,[e]}}function qVe(e,t,r){if(e.hovertemplate)return;var n=t.hi||e.hoverinfo,i=n.split(\"+\"),a=i.indexOf(\"all\")!==-1,o=i.indexOf(\"lon\")!==-1,s=i.indexOf(\"lat\")!==-1,l=t.lonlat,u=[];function c(f){return f+\"\\xB0\"}return a||o&&s?u.push(\"(\"+c(l[1])+\", \"+c(l[0])+\")\"):o?u.push(r.lon+c(l[0])):s&&u.push(r.lat+c(l[1])),(a||i.indexOf(\"text\")!==-1)&&GHt(t,e,u),u.join(\"<br>\")}BVe.exports={hoverPoints:WHt,getExtraText:qVe}});var UVe=ye((w_r,NVe)=>{\"use strict\";NVe.exports=function(t,r){return t.lon=r.lon,t.lat=r.lat,t}});var GVe=ye((T_r,VVe)=>{\"use strict\";var 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or=this.overscaling<=16?eb*Ci/(512*this.overscaling):0,_r=this.segments.prepareSegment(gt*10,this.layoutVertexArray,this.indexArray),vr,Fr=void 0,ai=void 0,Gi=void 0,Ti=void 0;this.e1=this.e2=-1,rt&&(vr=y[gt-2],Ti=y[Mt].sub(vr)._unit()._perp());for(var bn=Mt;bn<gt;bn++)if(ai=bn===gt-1?rt?y[Mt+1]:void 0:y[bn+1],!(ai&&y[bn].equals(ai))){Ti&&(Gi=Ti),vr&&(Fr=vr),vr=y[bn],Ti=ai?ai.sub(vr)._unit()._perp():Gi,Gi=Gi||Ti;var rn=Gi.add(Ti);(rn.x!==0||rn.y!==0)&&rn._unit();var xn=Gi.x*Ti.x+Gi.y*Ti.y,Dn=rn.x*Ti.x+rn.y*Ti.y,Zn=Dn!==0?1/Dn:1/0,ga=2*Math.sqrt(2-2*Dn),ha=Dn<jk&&Fr&&ai,eo=Gi.x*Ti.y-Gi.y*Ti.x>0;if(ha&&bn>Mt){var za=vr.dist(Fr);if(za>2*or){var Za=vr.sub(vr.sub(Fr)._mult(or/za)._round());this.updateDistance(Fr,Za),this.addCurrentVertex(Za,Gi,0,0,_r),Fr=Za}}var 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ai=Oe.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,ai),Oe.primitiveLength++),ae?this.e2=ai:this.e1=ai},sh.prototype.updateScaledDistance=function(){this.scaledDistance=this.lineClips?this.lineClips.start+(this.lineClips.end-this.lineClips.start)*this.distance/this.totalDistance:this.distance},sh.prototype.updateDistance=function(y,I){this.distance+=y.dist(I),this.updateScaledDistance()},X(\"LineBucket\",sh,{omit:[\"layers\",\"patternFeatures\"]});var _S=new Br({\"line-cap\":new Ee(Fn.layout_line[\"line-cap\"]),\"line-join\":new xt(Fn.layout_line[\"line-join\"]),\"line-miter-limit\":new Ee(Fn.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new Ee(Fn.layout_line[\"line-round-limit\"]),\"line-sort-key\":new xt(Fn.layout_line[\"line-sort-key\"])}),xS=new Br({\"line-opacity\":new xt(Fn.paint_line[\"line-opacity\"]),\"line-color\":new xt(Fn.paint_line[\"line-color\"]),\"line-translate\":new 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_l=rt.get(\"text-radial-offset\").evaluate(ha,{},he);_l?xs=NQ(Cl,[_l*An,sO]):xs=rt.get(\"text-offset\").evaluate(ha,{},he).map(function(py){return py*An})}var Qu=bn?\"center\":rt.get(\"text-justify\").evaluate(ha,{},he),gc=rt.get(\"symbol-placement\"),Af=gc===\"point\"?rt.get(\"text-max-width\").evaluate(ha,{},he)*An:0,Df=function(){m.allowVerticalPlacement&&jt(jo)&&(to.vertical=Vw(ao,y,I,$,eo,Af,Ti,Cl,\"left\",Iu,xs,uv.vertical,!0,gc,Za,za))};if(!bn&&kl){for(var Xh=Qu===\"auto\"?kl.map(function(py){return lO(py)}):[Qu],ch=!1,Xd=0;Xd<Xh.length;Xd++){var Zd=Xh[Xd];if(!to.horizontal[Zd])if(ch)to.horizontal[Zd]=to.horizontal[0];else{var Zh=Vw(ao,y,I,$,eo,Af,Ti,\"center\",Zd,Iu,xs,uv.horizontal,!1,gc,Za,za);Zh&&(to.horizontal[Zd]=Zh,ch=Zh.positionedLines.length===1)}}Df()}else{Qu===\"auto\"&&(Qu=lO(Cl));var fv=Vw(ao,y,I,$,eo,Af,Ti,Cl,Qu,Iu,xs,uv.horizontal,!1,gc,Za,za);fv&&(to.horizontal[Qu]=fv),Df(),jt(jo)&&bn&&rn&&(to.vertical=Vw(ao,y,I,$,eo,Af,Ti,Cl,Qu,Iu,xs,uv.vertical,!1,gc,Za,za))}}var hv=void 0,Mh=!1;if(ha.icon&&ha.icon.name){var dv=U[ha.icon.name];dv&&(hv=tp($[ha.icon.name],rt.get(\"icon-offset\").evaluate(ha,{},he),rt.get(\"icon-anchor\").evaluate(ha,{},he)),Mh=dv.sdf,m.sdfIcons===void 0?m.sdfIcons=dv.sdf:m.sdfIcons!==dv.sdf&&re(\"Style sheet warning: Cannot mix SDF and non-SDF icons in one buffer\"),(dv.pixelRatio!==m.pixelRatio||rt.get(\"icon-rotate\").constantOr(1)!==0)&&(m.iconsNeedLinear=!0))}var yp=VQ(to.horizontal)||to.vertical;m.iconsInText=yp?yp.iconsInText:!1,(yp||hv)&&fet(m,ha,to,hv,U,Mt,Za,Ko,xs,Mh,he)},Zn=0,ga=m.features;Zn<ga.length;Zn+=1)Dn();ae&&m.generateCollisionDebugBuffers()}function lO(m){switch(m){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}function fet(m,y,I,U,$,ae,he,Oe,rt,gt,Mt){var or=ae.textMaxSize.evaluate(y,{});or===void 0&&(or=he);var _r=m.layers[0].layout,vr=_r.get(\"icon-offset\").evaluate(y,{},Mt),Fr=VQ(I.horizontal),ai=24,Gi=he/ai,Ti=m.tilePixelRatio*Gi,bn=m.tilePixelRatio*or/ai,rn=m.tilePixelRatio*Oe,xn=m.tilePixelRatio*_r.get(\"symbol-spacing\"),Dn=_r.get(\"text-padding\")*m.tilePixelRatio,Zn=_r.get(\"icon-padding\")*m.tilePixelRatio,ga=_r.get(\"text-max-angle\")/180*Math.PI,ha=_r.get(\"text-rotation-alignment\")===\"map\"&&_r.get(\"symbol-placement\")!==\"point\",eo=_r.get(\"icon-rotation-alignment\")===\"map\"&&_r.get(\"symbol-placement\")!==\"point\",za=_r.get(\"symbol-placement\"),Za=xn/2,Ko=_r.get(\"icon-text-fit\"),to;U&&Ko!==\"none\"&&(m.allowVerticalPlacement&&I.vertical&&(to=hm(U,I.vertical,Ko,_r.get(\"icon-text-fit-padding\"),vr,Gi)),Fr&&(U=hm(U,Fr,Ko,_r.get(\"icon-text-fit-padding\"),vr,Gi)));var ao=function($w,y0){y0.x<0||y0.x>=Ci||y0.y<0||y0.y>=Ci||het(m,y0,$w,I,U,$,to,m.layers[0],m.collisionBoxArray,y.index,y.sourceLayerIndex,m.index,Ti,Dn,ha,rt,rn,Zn,eo,vr,y,ae,gt,Mt,he)};if(za===\"line\")for(var xs=0,jo=OQ(y.geometry,0,0,Ci,Ci);xs<jo.length;xs+=1)for(var El=jo[xs],Iu=ret(El,xn,ga,I.vertical||Fr,U,ai,bn,m.overscaling,Ci),Cl=0,kl=Iu;Cl<kl.length;Cl+=1){var _l=kl[Cl],Qu=Fr;(!Qu||!det(m,Qu.text,Za,_l))&&ao(El,_l)}else if(za===\"line-center\")for(var gc=0,Af=y.geometry;gc<Af.length;gc+=1){var Df=Af[gc];if(Df.length>1){var Xh=tet(Df,ga,I.vertical||Fr,U,ai,bn);Xh&&ao(Df,Xh)}}else if(y.type===\"Polygon\")for(var ch=0,Xd=Fw(y.geometry,0);ch<Xd.length;ch+=1){var Zd=Xd[ch],Zh=aet(Zd,16);ao(Zd[0],new Wd(Zh.x,Zh.y,0))}else if(y.type===\"LineString\")for(var fv=0,hv=y.geometry;fv<hv.length;fv+=1){var Mh=hv[fv];ao(Mh,new Wd(Mh[0].x,Mh[0].y,0))}else if(y.type===\"Point\")for(var dv=0,yp=y.geometry;dv<yp.length;dv+=1)for(var py=yp[dv],z1=0,O1=py;z1<O1.length;z1+=1){var q1=O1[z1];ao([q1],new Wd(q1.x,q1.y,0))}}var TS=255,D1=TS*kd;function UQ(m,y,I,U,$,ae,he,Oe,rt,gt,Mt,or,_r,vr,Fr){var ai=iet(y,I,Oe,$,ae,he,U,m.allowVerticalPlacement),Gi=m.textSizeData,Ti=null;Gi.kind===\"source\"?(Ti=[kd*$.layout.get(\"text-size\").evaluate(he,{})],Ti[0]>D1&&re(m.layerIds[0]+': Value for \"text-size\" is >= '+TS+'. Reduce your \"text-size\".')):Gi.kind===\"composite\"&&(Ti=[kd*vr.compositeTextSizes[0].evaluate(he,{},Fr),kd*vr.compositeTextSizes[1].evaluate(he,{},Fr)],(Ti[0]>D1||Ti[1]>D1)&&re(m.layerIds[0]+': Value for \"text-size\" is >= '+TS+'. Reduce your \"text-size\".')),m.addSymbols(m.text,ai,Ti,Oe,ae,he,gt,y,rt.lineStartIndex,rt.lineLength,_r,Fr);for(var bn=0,rn=Mt;bn<rn.length;bn+=1){var xn=rn[bn];or[xn]=m.text.placedSymbolArray.length-1}return ai.length*4}function VQ(m){for(var y in m)return m[y];return null}function het(m,y,I,U,$,ae,he,Oe,rt,gt,Mt,or,_r,vr,Fr,ai,Gi,Ti,bn,rn,xn,Dn,Zn,ga,ha){var eo,za=m.addToLineVertexArray(y,I),Za,Ko,to,ao,xs=0,jo=0,El=0,Iu=0,Cl=-1,kl=-1,_l={},Qu=K(\"\"),gc=0,Af=0;if(Oe._unevaluatedLayout.getValue(\"text-radial-offset\")===void 0?(eo=Oe.layout.get(\"text-offset\").evaluate(xn,{},ga).map(function(MS){return MS*An}),gc=eo[0],Af=eo[1]):(gc=Oe.layout.get(\"text-radial-offset\").evaluate(xn,{},ga)*An,Af=sO),m.allowVerticalPlacement&&U.vertical){var Df=Oe.layout.get(\"text-rotate\").evaluate(xn,{},ga),Xh=Df+90,ch=U.vertical;to=new $k(rt,y,gt,Mt,or,ch,_r,vr,Fr,Xh),he&&(ao=new $k(rt,y,gt,Mt,or,he,Gi,Ti,Fr,Xh))}if($){var Xd=Oe.layout.get(\"icon-rotate\").evaluate(xn,{}),Zd=Oe.layout.get(\"icon-text-fit\")!==\"none\",Zh=qQ($,Xd,Zn,Zd),fv=he?qQ(he,Xd,Zn,Zd):void 0;Ko=new $k(rt,y,gt,Mt,or,$,Gi,Ti,!1,Xd),xs=Zh.length*4;var hv=m.iconSizeData,Mh=null;hv.kind===\"source\"?(Mh=[kd*Oe.layout.get(\"icon-size\").evaluate(xn,{})],Mh[0]>D1&&re(m.layerIds[0]+': Value for \"icon-size\" is >= '+TS+'. Reduce your \"icon-size\".')):hv.kind===\"composite\"&&(Mh=[kd*Dn.compositeIconSizes[0].evaluate(xn,{},ga),kd*Dn.compositeIconSizes[1].evaluate(xn,{},ga)],(Mh[0]>D1||Mh[1]>D1)&&re(m.layerIds[0]+': Value for \"icon-size\" is >= '+TS+'. Reduce your \"icon-size\".')),m.addSymbols(m.icon,Zh,Mh,rn,bn,xn,!1,y,za.lineStartIndex,za.lineLength,-1,ga),Cl=m.icon.placedSymbolArray.length-1,fv&&(jo=fv.length*4,m.addSymbols(m.icon,fv,Mh,rn,bn,xn,uv.vertical,y,za.lineStartIndex,za.lineLength,-1,ga),kl=m.icon.placedSymbolArray.length-1)}for(var dv in U.horizontal){var yp=U.horizontal[dv];if(!Za){Qu=K(yp.text);var py=Oe.layout.get(\"text-rotate\").evaluate(xn,{},ga);Za=new $k(rt,y,gt,Mt,or,yp,_r,vr,Fr,py)}var z1=yp.positionedLines.length===1;if(El+=UQ(m,y,yp,ae,Oe,Fr,xn,ai,za,U.vertical?uv.horizontal:uv.horizontalOnly,z1?Object.keys(U.horizontal):[dv],_l,Cl,Dn,ga),z1)break}U.vertical&&(Iu+=UQ(m,y,U.vertical,ae,Oe,Fr,xn,ai,za,uv.vertical,[\"vertical\"],_l,kl,Dn,ga));var O1=Za?Za.boxStartIndex:m.collisionBoxArray.length,q1=Za?Za.boxEndIndex:m.collisionBoxArray.length,$w=to?to.boxStartIndex:m.collisionBoxArray.length,y0=to?to.boxEndIndex:m.collisionBoxArray.length,i6=Ko?Ko.boxStartIndex:m.collisionBoxArray.length,vO=Ko?Ko.boxEndIndex:m.collisionBoxArray.length,n6=ao?ao.boxStartIndex:m.collisionBoxArray.length,pO=ao?ao.boxEndIndex:m.collisionBoxArray.length,Hp=-1,Qw=function(MS,nee){return MS&&MS.circleDiameter?Math.max(MS.circleDiameter,nee):nee};Hp=Qw(Za,Hp),Hp=Qw(to,Hp),Hp=Qw(Ko,Hp),Hp=Qw(ao,Hp);var a6=Hp>-1?1:0;a6&&(Hp*=ha/An),m.glyphOffsetArray.length>=Pu.MAX_GLYPHS&&re(\"Too many glyphs being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907\"),xn.sortKey!==void 0&&m.addToSortKeyRanges(m.symbolInstances.length,xn.sortKey),m.symbolInstances.emplaceBack(y.x,y.y,_l.right>=0?_l.right:-1,_l.center>=0?_l.center:-1,_l.left>=0?_l.left:-1,_l.vertical||-1,Cl,kl,Qu,O1,q1,$w,y0,i6,vO,n6,pO,gt,El,Iu,xs,jo,a6,0,_r,gc,Af,Hp)}function det(m,y,I,U){var $=m.compareText;if(!(y in $))$[y]=[];else for(var ae=$[y],he=ae.length-1;he>=0;he--)if(U.dist(ae[he])<I)return!0;return $[y].push(U),!1}var vet=pg.VectorTileFeature.types,pet=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function Qk(m,y,I,U,$,ae,he,Oe,rt,gt,Mt,or,_r){var vr=Oe?Math.min(D1,Math.round(Oe[0])):0,Fr=Oe?Math.min(D1,Math.round(Oe[1])):0;m.emplaceBack(y,I,Math.round(U*32),Math.round($*32),ae,he,(vr<<1)+(rt?1:0),Fr,gt*16,Mt*16,or*256,_r*256)}function uO(m,y,I){m.emplaceBack(y.x,y.y,I),m.emplaceBack(y.x,y.y,I),m.emplaceBack(y.x,y.y,I),m.emplaceBack(y.x,y.y,I)}function get(m){for(var y=0,I=m.sections;y<I.length;y+=1){var U=I[y];if(Pi(U.text))return!0}return!1}var Zw=function(y){this.layoutVertexArray=new qn,this.indexArray=new vn,this.programConfigurations=y,this.segments=new io,this.dynamicLayoutVertexArray=new vi,this.opacityVertexArray=new li,this.placedSymbolArray=new zo};Zw.prototype.isEmpty=function(){return this.layoutVertexArray.length===0&&this.indexArray.length===0&&this.dynamicLayoutVertexArray.length===0&&this.opacityVertexArray.length===0},Zw.prototype.upload=function(y,I,U,$){this.isEmpty()||(U&&(this.layoutVertexBuffer=y.createVertexBuffer(this.layoutVertexArray,te.members),this.indexBuffer=y.createIndexBuffer(this.indexArray,I),this.dynamicLayoutVertexBuffer=y.createVertexBuffer(this.dynamicLayoutVertexArray,fe.members,!0),this.opacityVertexBuffer=y.createVertexBuffer(this.opacityVertexArray,pet,!0),this.opacityVertexBuffer.itemSize=1),(U||$)&&this.programConfigurations.upload(y))},Zw.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},X(\"SymbolBuffers\",Zw);var AS=function(y,I,U){this.layoutVertexArray=new y,this.layoutAttributes=I,this.indexArray=new U,this.segments=new io,this.collisionVertexArray=new Bi};AS.prototype.upload=function(y){this.layoutVertexBuffer=y.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=y.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=y.createVertexBuffer(this.collisionVertexArray,ze.members,!0)},AS.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},X(\"CollisionBuffers\",AS);var Pu=function(y){this.collisionBoxArray=y.collisionBoxArray,this.zoom=y.zoom,this.overscaling=y.overscaling,this.layers=y.layers,this.layerIds=this.layers.map(function(rt){return rt.id}),this.index=y.index,this.pixelRatio=y.pixelRatio,this.sourceLayerIndex=y.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=oy([]),this.placementViewportMatrix=oy([]);var I=this.layers[0],U=I._unevaluatedLayout._values;this.textSizeData=mp(this.zoom,U[\"text-size\"]),this.iconSizeData=mp(this.zoom,U[\"icon-size\"]);var $=this.layers[0].layout,ae=$.get(\"symbol-sort-key\"),he=$.get(\"symbol-z-order\");this.canOverlap=$.get(\"text-allow-overlap\")||$.get(\"icon-allow-overlap\")||$.get(\"text-ignore-placement\")||$.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=he!==\"viewport-y\"&&ae.constantOr(1)!==void 0;var Oe=he===\"viewport-y\"||he===\"auto\"&&!this.sortFeaturesByKey;this.sortFeaturesByY=Oe&&this.canOverlap,$.get(\"symbol-placement\")===\"point\"&&(this.writingModes=$.get(\"text-writing-mode\").map(function(rt){return uv[rt]})),this.stateDependentLayerIds=this.layers.filter(function(rt){return rt.isStateDependent()}).map(function(rt){return rt.id}),this.sourceID=y.sourceID};Pu.prototype.createArrays=function(){this.text=new Zw(new hi(this.layers,this.zoom,function(y){return/^text/.test(y)})),this.icon=new Zw(new hi(this.layers,this.zoom,function(y){return/^icon/.test(y)})),this.glyphOffsetArray=new Ul,this.lineVertexArray=new ls,this.symbolInstances=new ol},Pu.prototype.calculateGlyphDependencies=function(y,I,U,$,ae){for(var he=0;he<y.length;he++)if(I[y.charCodeAt(he)]=!0,(U||$)&&ae){var Oe=Fi[y.charAt(he)];Oe&&(I[Oe.charCodeAt(0)]=!0)}},Pu.prototype.populate=function(y,I,U){var $=this.layers[0],ae=$.layout,he=ae.get(\"text-font\"),Oe=ae.get(\"text-field\"),rt=ae.get(\"icon-image\"),gt=(Oe.value.kind!==\"constant\"||Oe.value.value instanceof Jl&&!Oe.value.value.isEmpty()||Oe.value.value.toString().length>0)&&(he.value.kind!==\"constant\"||he.value.value.length>0),Mt=rt.value.kind!==\"constant\"||!!rt.value.value||Object.keys(rt.parameters).length>0,or=ae.get(\"symbol-sort-key\");if(this.features=[],!(!gt&&!Mt)){for(var _r=I.iconDependencies,vr=I.glyphDependencies,Fr=I.availableImages,ai=new Gn(this.zoom),Gi=0,Ti=y;Gi<Ti.length;Gi+=1){var bn=Ti[Gi],rn=bn.feature,xn=bn.id,Dn=bn.index,Zn=bn.sourceLayerIndex,ga=$._featureFilter.needGeometry,ha=Ja(rn,ga);if($._featureFilter.filter(ai,ha,U)){ga||(ha.geometry=On(rn));var eo=void 0;if(gt){var za=$.getValueAndResolveTokens(\"text-field\",ha,U,Fr),Za=Jl.factory(za);get(Za)&&(this.hasRTLText=!0),(!this.hasRTLText||yo()===\"unavailable\"||this.hasRTLText&&Es.isParsed())&&(eo=yi(Za,$,ha))}var Ko=void 0;if(Mt){var to=$.getValueAndResolveTokens(\"icon-image\",ha,U,Fr);to instanceof hl?Ko=to:Ko=hl.fromString(to)}if(!(!eo&&!Ko)){var ao=this.sortFeaturesByKey?or.evaluate(ha,{},U):void 0,xs={id:xn,text:eo,icon:Ko,index:Dn,sourceLayerIndex:Zn,geometry:ha.geometry,properties:rn.properties,type:vet[rn.type],sortKey:ao};if(this.features.push(xs),Ko&&(_r[Ko.name]=!0),eo){var jo=he.evaluate(ha,{},U).join(\",\"),El=ae.get(\"text-rotation-alignment\")===\"map\"&&ae.get(\"symbol-placement\")!==\"point\";this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(uv.vertical)>=0;for(var Iu=0,Cl=eo.sections;Iu<Cl.length;Iu+=1){var kl=Cl[Iu];if(kl.image)_r[kl.image.name]=!0;else{var _l=jt(eo.toString()),Qu=kl.fontStack||jo,gc=vr[Qu]=vr[Qu]||{};this.calculateGlyphDependencies(kl.text,gc,El,this.allowVerticalPlacement,_l)}}}}}}ae.get(\"symbol-placement\")===\"line\"&&(this.features=dn(this.features)),this.sortFeaturesByKey&&this.features.sort(function(Af,Df){return Af.sortKey-Df.sortKey})}},Pu.prototype.update=function(y,I,U){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(y,I,this.layers,U),this.icon.programConfigurations.updatePaintArrays(y,I,this.layers,U))},Pu.prototype.isEmpty=function(){return this.symbolInstances.length===0&&!this.hasRTLText},Pu.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Pu.prototype.upload=function(y){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(y),this.iconCollisionBox.upload(y)),this.text.upload(y,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(y,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},Pu.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},Pu.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},Pu.prototype.addToLineVertexArray=function(y,I){var U=this.lineVertexArray.length;if(y.segment!==void 0){for(var $=y.dist(I[y.segment+1]),ae=y.dist(I[y.segment]),he={},Oe=y.segment+1;Oe<I.length;Oe++)he[Oe]={x:I[Oe].x,y:I[Oe].y,tileUnitDistanceFromAnchor:$},Oe<I.length-1&&($+=I[Oe+1].dist(I[Oe]));for(var rt=y.segment||0;rt>=0;rt--)he[rt]={x:I[rt].x,y:I[rt].y,tileUnitDistanceFromAnchor:ae},rt>0&&(ae+=I[rt-1].dist(I[rt]));for(var gt=0;gt<I.length;gt++){var Mt=he[gt];this.lineVertexArray.emplaceBack(Mt.x,Mt.y,Mt.tileUnitDistanceFromAnchor)}}return{lineStartIndex:U,lineLength:this.lineVertexArray.length-U}},Pu.prototype.addSymbols=function(y,I,U,$,ae,he,Oe,rt,gt,Mt,or,_r){for(var vr=y.indexArray,Fr=y.layoutVertexArray,ai=y.segments.prepareSegment(4*I.length,Fr,vr,this.canOverlap?he.sortKey:void 0),Gi=this.glyphOffsetArray.length,Ti=ai.vertexLength,bn=this.allowVerticalPlacement&&Oe===uv.vertical?Math.PI/2:0,rn=he.text&&he.text.sections,xn=0;xn<I.length;xn++){var Dn=I[xn],Zn=Dn.tl,ga=Dn.tr,ha=Dn.bl,eo=Dn.br,za=Dn.tex,Za=Dn.pixelOffsetTL,Ko=Dn.pixelOffsetBR,to=Dn.minFontScaleX,ao=Dn.minFontScaleY,xs=Dn.glyphOffset,jo=Dn.isSDF,El=Dn.sectionIndex,Iu=ai.vertexLength,Cl=xs[1];Qk(Fr,rt.x,rt.y,Zn.x,Cl+Zn.y,za.x,za.y,U,jo,Za.x,Za.y,to,ao),Qk(Fr,rt.x,rt.y,ga.x,Cl+ga.y,za.x+za.w,za.y,U,jo,Ko.x,Za.y,to,ao),Qk(Fr,rt.x,rt.y,ha.x,Cl+ha.y,za.x,za.y+za.h,U,jo,Za.x,Ko.y,to,ao),Qk(Fr,rt.x,rt.y,eo.x,Cl+eo.y,za.x+za.w,za.y+za.h,U,jo,Ko.x,Ko.y,to,ao),uO(y.dynamicLayoutVertexArray,rt,bn),vr.emplaceBack(Iu,Iu+1,Iu+2),vr.emplaceBack(Iu+1,Iu+2,Iu+3),ai.vertexLength+=4,ai.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(xs[0]),(xn===I.length-1||El!==I[xn+1].sectionIndex)&&y.programConfigurations.populatePaintArrays(Fr.length,he,he.index,{},_r,rn&&rn[El])}y.placedSymbolArray.emplaceBack(rt.x,rt.y,Gi,this.glyphOffsetArray.length-Gi,Ti,gt,Mt,rt.segment,U?U[0]:0,U?U[1]:0,$[0],$[1],Oe,0,!1,0,or)},Pu.prototype._addCollisionDebugVertex=function(y,I,U,$,ae,he){return I.emplaceBack(0,0),y.emplaceBack(U.x,U.y,$,ae,Math.round(he.x),Math.round(he.y))},Pu.prototype.addCollisionDebugVertices=function(y,I,U,$,ae,he,Oe){var rt=ae.segments.prepareSegment(4,ae.layoutVertexArray,ae.indexArray),gt=rt.vertexLength,Mt=ae.layoutVertexArray,or=ae.collisionVertexArray,_r=Oe.anchorX,vr=Oe.anchorY;this._addCollisionDebugVertex(Mt,or,he,_r,vr,new u(y,I)),this._addCollisionDebugVertex(Mt,or,he,_r,vr,new u(U,I)),this._addCollisionDebugVertex(Mt,or,he,_r,vr,new u(U,$)),this._addCollisionDebugVertex(Mt,or,he,_r,vr,new u(y,$)),rt.vertexLength+=4;var Fr=ae.indexArray;Fr.emplaceBack(gt,gt+1),Fr.emplaceBack(gt+1,gt+2),Fr.emplaceBack(gt+2,gt+3),Fr.emplaceBack(gt+3,gt),rt.primitiveLength+=4},Pu.prototype.addDebugCollisionBoxes=function(y,I,U,$){for(var ae=y;ae<I;ae++){var he=this.collisionBoxArray.get(ae),Oe=he.x1,rt=he.y1,gt=he.x2,Mt=he.y2;this.addCollisionDebugVertices(Oe,rt,gt,Mt,$?this.textCollisionBox:this.iconCollisionBox,he.anchorPoint,U)}},Pu.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new AS(Ki,ut.members,oa),this.iconCollisionBox=new AS(Ki,ut.members,oa);for(var y=0;y<this.symbolInstances.length;y++){var I=this.symbolInstances.get(y);this.addDebugCollisionBoxes(I.textBoxStartIndex,I.textBoxEndIndex,I,!0),this.addDebugCollisionBoxes(I.verticalTextBoxStartIndex,I.verticalTextBoxEndIndex,I,!0),this.addDebugCollisionBoxes(I.iconBoxStartIndex,I.iconBoxEndIndex,I,!1),this.addDebugCollisionBoxes(I.verticalIconBoxStartIndex,I.verticalIconBoxEndIndex,I,!1)}},Pu.prototype._deserializeCollisionBoxesForSymbol=function(y,I,U,$,ae,he,Oe,rt,gt){for(var Mt={},or=I;or<U;or++){var _r=y.get(or);Mt.textBox={x1:_r.x1,y1:_r.y1,x2:_r.x2,y2:_r.y2,anchorPointX:_r.anchorPointX,anchorPointY:_r.anchorPointY},Mt.textFeatureIndex=_r.featureIndex;break}for(var vr=$;vr<ae;vr++){var Fr=y.get(vr);Mt.verticalTextBox={x1:Fr.x1,y1:Fr.y1,x2:Fr.x2,y2:Fr.y2,anchorPointX:Fr.anchorPointX,anchorPointY:Fr.anchorPointY},Mt.verticalTextFeatureIndex=Fr.featureIndex;break}for(var ai=he;ai<Oe;ai++){var Gi=y.get(ai);Mt.iconBox={x1:Gi.x1,y1:Gi.y1,x2:Gi.x2,y2:Gi.y2,anchorPointX:Gi.anchorPointX,anchorPointY:Gi.anchorPointY},Mt.iconFeatureIndex=Gi.featureIndex;break}for(var Ti=rt;Ti<gt;Ti++){var bn=y.get(Ti);Mt.verticalIconBox={x1:bn.x1,y1:bn.y1,x2:bn.x2,y2:bn.y2,anchorPointX:bn.anchorPointX,anchorPointY:bn.anchorPointY},Mt.verticalIconFeatureIndex=bn.featureIndex;break}return Mt},Pu.prototype.deserializeCollisionBoxes=function(y){this.collisionArrays=[];for(var I=0;I<this.symbolInstances.length;I++){var U=this.symbolInstances.get(I);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(y,U.textBoxStartIndex,U.textBoxEndIndex,U.verticalTextBoxStartIndex,U.verticalTextBoxEndIndex,U.iconBoxStartIndex,U.iconBoxEndIndex,U.verticalIconBoxStartIndex,U.verticalIconBoxEndIndex))}},Pu.prototype.hasTextData=function(){return this.text.segments.get().length>0},Pu.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Pu.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Pu.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Pu.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Pu.prototype.addIndicesForPlacedSymbol=function(y,I){for(var U=y.placedSymbolArray.get(I),$=U.vertexStartIndex+U.numGlyphs*4,ae=U.vertexStartIndex;ae<$;ae+=4)y.indexArray.emplaceBack(ae,ae+1,ae+2),y.indexArray.emplaceBack(ae+1,ae+2,ae+3)},Pu.prototype.getSortedSymbolIndexes=function(y){if(this.sortedAngle===y&&this.symbolInstanceIndexes!==void 0)return this.symbolInstanceIndexes;for(var I=Math.sin(y),U=Math.cos(y),$=[],ae=[],he=[],Oe=0;Oe<this.symbolInstances.length;++Oe){he.push(Oe);var rt=this.symbolInstances.get(Oe);$.push(Math.round(I*rt.anchorX+U*rt.anchorY)|0),ae.push(rt.featureIndex)}return he.sort(function(gt,Mt){return $[gt]-$[Mt]||ae[Mt]-ae[gt]}),he},Pu.prototype.addToSortKeyRanges=function(y,I){var U=this.sortKeyRanges[this.sortKeyRanges.length-1];U&&U.sortKey===I?U.symbolInstanceEnd=y+1:this.sortKeyRanges.push({sortKey:I,symbolInstanceStart:y,symbolInstanceEnd:y+1})},Pu.prototype.sortFeatures=function(y){var I=this;if(this.sortFeaturesByY&&this.sortedAngle!==y&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(y),this.sortedAngle=y,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var U=0,$=this.symbolInstanceIndexes;U<$.length;U+=1){var ae=$[U],he=this.symbolInstances.get(ae);this.featureSortOrder.push(he.featureIndex),[he.rightJustifiedTextSymbolIndex,he.centerJustifiedTextSymbolIndex,he.leftJustifiedTextSymbolIndex].forEach(function(Oe,rt,gt){Oe>=0&&gt.indexOf(Oe)===rt&&I.addIndicesForPlacedSymbol(I.text,Oe)}),he.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,he.verticalPlacedTextSymbolIndex),he.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,he.placedIconSymbolIndex),he.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,he.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},X(\"SymbolBucket\",Pu,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Pu.MAX_GLYPHS=65535,Pu.addDynamicAttributes=uO;function met(m,y){return y.replace(/{([^{}]+)}/g,function(I,U){return U in m?String(m[U]):\"\"})}var yet=new Br({\"symbol-placement\":new Ee(Fn.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new Ee(Fn.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new Ee(Fn.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new xt(Fn.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new Ee(Fn.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new Ee(Fn.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new Ee(Fn.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new Ee(Fn.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new Ee(Fn.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new xt(Fn.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new Ee(Fn.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new Ee(Fn.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new xt(Fn.layout_symbol[\"icon-image\"]),\"icon-rotate\":new xt(Fn.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new 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I=this.defaultValue.property.overrides;if(I&&I.hasOverride(y.formattedSection))return I.getOverride(y.formattedSection)}return y.feature&&y.featureState?this.defaultValue.evaluate(y.feature,y.featureState):this.defaultValue.property.specification.default},Yw.prototype.eachChild=function(y){if(!this.defaultValue.isConstant()){var I=this.defaultValue.value;y(I._styleExpression.expression)}},Yw.prototype.outputDefined=function(){return!1},Yw.prototype.serialize=function(){return null},X(\"FormatSectionOverride\",Yw,{omit:[\"defaultValue\"]});var xet=function(m){function y(I){m.call(this,I,cO)}return m&&(y.__proto__=m),y.prototype=Object.create(m&&m.prototype),y.prototype.constructor=y,y.prototype.recalculate=function(U,$){if(m.prototype.recalculate.call(this,U,$),this.layout.get(\"icon-rotation-alignment\")===\"auto\"&&(this.layout.get(\"symbol-placement\")!==\"point\"?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),this.layout.get(\"text-rotation-alignment\")===\"auto\"&&(this.layout.get(\"symbol-placement\")!==\"point\"?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),this.layout.get(\"text-pitch-alignment\")===\"auto\"&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),this.layout.get(\"icon-pitch-alignment\")===\"auto\"&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),this.layout.get(\"symbol-placement\")===\"point\"){var ae=this.layout.get(\"text-writing-mode\");if(ae){for(var he=[],Oe=0,rt=ae;Oe<rt.length;Oe+=1){var gt=rt[Oe];he.indexOf(gt)<0&&he.push(gt)}this.layout._values[\"text-writing-mode\"]=he}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},y.prototype.getValueAndResolveTokens=function(U,$,ae,he){var Oe=this.layout.get(U).evaluate($,{},ae,he),rt=this._unevaluatedLayout._values[U];return!rt.isDataDriven()&&!Ua(rt.value)&&Oe?met($.properties,Oe):Oe},y.prototype.createBucket=function(U){return new Pu(U)},y.prototype.queryRadius=function(){return 0},y.prototype.queryIntersectsFeature=function(){return!1},y.prototype._setPaintOverrides=function(){for(var U=0,$=cO.paint.overridableProperties;U<$.length;U+=1){var ae=$[U];if(y.hasPaintOverride(this.layout,ae)){var he=this.paint.get(ae),Oe=new Yw(he),rt=new Ac(Oe,he.property.specification),gt=null;he.value.kind===\"constant\"||he.value.kind===\"source\"?gt=new Vc(\"source\",rt):gt=new 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m&&(y.__proto__=m),y.prototype=Object.create(m&&m.prototype),y.prototype.constructor=y,y}(mi);function Cet(m){var y=[],I=m.id;return I===void 0&&y.push({message:\"layers.\"+I+': missing required property \"id\"'}),m.render===void 0&&y.push({message:\"layers.\"+I+': missing required method \"render\"'}),m.renderingMode&&m.renderingMode!==\"2d\"&&m.renderingMode!==\"3d\"&&y.push({message:\"layers.\"+I+': property \"renderingMode\" must be either \"2d\" or \"3d\"'}),y}var ket=function(m){function y(I){m.call(this,I,{}),this.implementation=I}return m&&(y.__proto__=m),y.prototype=Object.create(m&&m.prototype),y.prototype.constructor=y,y.prototype.is3D=function(){return this.implementation.renderingMode===\"3d\"},y.prototype.hasOffscreenPass=function(){return this.implementation.prerender!==void 0},y.prototype.recalculate=function(){},y.prototype.updateTransitions=function(){},y.prototype.hasTransition=function(){},y.prototype.serialize=function(){},y.prototype.onAdd=function(U){this.implementation.onAdd&&this.implementation.onAdd(U,U.painter.context.gl)},y.prototype.onRemove=function(U){this.implementation.onRemove&&this.implementation.onRemove(U,U.painter.context.gl)},y}(mi),Let={circle:U9,heatmap:Lw,hillshade:_k,fill:Qx,\"fill-extrusion\":fm,line:S,symbol:xet,background:Tet,raster:Eet};function Pet(m){return m.type===\"custom\"?new ket(m):new Let[m.type](m)}var GQ=f.HTMLImageElement,HQ=f.HTMLCanvasElement,jQ=f.HTMLVideoElement,WQ=f.ImageData,e6=f.ImageBitmap,ib=function(y,I,U,$){this.context=y,this.format=U,this.texture=y.gl.createTexture(),this.update(I,$)};ib.prototype.update=function(y,I,U){var 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$=this,ae=$.context,he=ae.gl;he.bindTexture(he.TEXTURE_2D,this.texture),U===he.LINEAR_MIPMAP_NEAREST&&!this.isSizePowerOfTwo()&&(U=he.LINEAR),y!==this.filter&&(he.texParameteri(he.TEXTURE_2D,he.TEXTURE_MAG_FILTER,y),he.texParameteri(he.TEXTURE_2D,he.TEXTURE_MIN_FILTER,U||y),this.filter=y),I!==this.wrap&&(he.texParameteri(he.TEXTURE_2D,he.TEXTURE_WRAP_S,I),he.texParameteri(he.TEXTURE_2D,he.TEXTURE_WRAP_T,I),this.wrap=I)},ib.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1===0},ib.prototype.destroy=function(){var y=this.context,I=y.gl;I.deleteTexture(this.texture),this.texture=null};var fO=function(y){var I=this;this._callback=y,this._triggered=!1,typeof MessageChannel!=\"undefined\"&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){I._triggered=!1,I._callback()})};fO.prototype.trigger=function(){var y=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout(function(){y._triggered=!1,y._callback()},0))},fO.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Kw=function(y,I,U){this.target=y,this.parent=I,this.mapId=U,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},O([\"receive\",\"process\"],this),this.invoker=new fO(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=ke()?y:f};Kw.prototype.send=function(y,I,U,$,ae){var he=this;ae===void 0&&(ae=!1);var Oe=Math.round(Math.random()*1e18).toString(36).substring(0,10);U&&(this.callbacks[Oe]=U);var rt=Se(this.globalScope)?void 0:[];return this.target.postMessage({id:Oe,type:y,hasCallback:!!U,targetMapId:$,mustQueue:ae,sourceMapId:this.mapId,data:He(I,rt)},rt),{cancel:function(){U&&delete he.callbacks[Oe],he.target.postMessage({id:Oe,type:\"<cancel>\",targetMapId:$,sourceMapId:he.mapId})}}},Kw.prototype.receive=function(y){var I=y.data,U=I.id;if(U&&!(I.targetMapId&&this.mapId!==I.targetMapId))if(I.type===\"<cancel>\"){delete this.tasks[U];var $=this.cancelCallbacks[U];delete this.cancelCallbacks[U],$&&$()}else ke()||I.mustQueue?(this.tasks[U]=I,this.taskQueue.push(U),this.invoker.trigger()):this.processTask(U,I)},Kw.prototype.process=function(){if(this.taskQueue.length){var y=this.taskQueue.shift(),I=this.tasks[y];delete this.tasks[y],this.taskQueue.length&&this.invoker.trigger(),I&&this.processTask(y,I)}},Kw.prototype.processTask=function(y,I){var U=this;if(I.type===\"<response>\"){var $=this.callbacks[y];delete this.callbacks[y],$&&(I.error?$(Ye(I.error)):$(null,Ye(I.data)))}else{var ae=!1,he=Se(this.globalScope)?void 0:[],Oe=I.hasCallback?function(_r,vr){ae=!0,delete U.cancelCallbacks[y],U.target.postMessage({id:y,type:\"<response>\",sourceMapId:U.mapId,error:_r?He(_r):null,data:He(vr,he)},he)}:function(_r){ae=!0},rt=null,gt=Ye(I.data);if(this.parent[I.type])rt=this.parent[I.type](I.sourceMapId,gt,Oe);else if(this.parent.getWorkerSource){var Mt=I.type.split(\".\"),or=this.parent.getWorkerSource(I.sourceMapId,Mt[0],gt.source);rt=or[Mt[1]](gt,Oe)}else Oe(new Error(\"Could not find function \"+I.type));!ae&&rt&&rt.cancel&&(this.cancelCallbacks[y]=rt.cancel)}},Kw.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};function Iet(m,y,I){y=Math.pow(2,I)-y-1;var U=XQ(m*256,y*256,I),$=XQ((m+1)*256,(y+1)*256,I);return U[0]+\",\"+U[1]+\",\"+$[0]+\",\"+$[1]}function XQ(m,y,I){var U=2*Math.PI*6378137/256/Math.pow(2,I),$=m*U-2*Math.PI*6378137/2,ae=y*U-2*Math.PI*6378137/2;return[$,ae]}var lh=function(y,I){y&&(I?this.setSouthWest(y).setNorthEast(I):y.length===4?this.setSouthWest([y[0],y[1]]).setNorthEast([y[2],y[3]]):this.setSouthWest(y[0]).setNorthEast(y[1]))};lh.prototype.setNorthEast=function(y){return this._ne=y instanceof Hc?new Hc(y.lng,y.lat):Hc.convert(y),this},lh.prototype.setSouthWest=function(y){return this._sw=y instanceof Hc?new Hc(y.lng,y.lat):Hc.convert(y),this},lh.prototype.extend=function(y){var I=this._sw,U=this._ne,$,ae;if(y instanceof Hc)$=y,ae=y;else if(y instanceof lh){if($=y._sw,ae=y._ne,!$||!ae)return this}else{if(Array.isArray(y))if(y.length===4||y.every(Array.isArray)){var he=y;return this.extend(lh.convert(he))}else{var Oe=y;return this.extend(Hc.convert(Oe))}return this}return!I&&!U?(this._sw=new Hc($.lng,$.lat),this._ne=new Hc(ae.lng,ae.lat)):(I.lng=Math.min($.lng,I.lng),I.lat=Math.min($.lat,I.lat),U.lng=Math.max(ae.lng,U.lng),U.lat=Math.max(ae.lat,U.lat)),this},lh.prototype.getCenter=function(){return new Hc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},lh.prototype.getSouthWest=function(){return this._sw},lh.prototype.getNorthEast=function(){return this._ne},lh.prototype.getNorthWest=function(){return new Hc(this.getWest(),this.getNorth())},lh.prototype.getSouthEast=function(){return new Hc(this.getEast(),this.getSouth())},lh.prototype.getWest=function(){return this._sw.lng},lh.prototype.getSouth=function(){return this._sw.lat},lh.prototype.getEast=function(){return this._ne.lng},lh.prototype.getNorth=function(){return this._ne.lat},lh.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},lh.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},lh.prototype.isEmpty=function(){return!(this._sw&&this._ne)},lh.prototype.contains=function(y){var I=Hc.convert(y),U=I.lng,$=I.lat,ae=this._sw.lat<=$&&$<=this._ne.lat,he=this._sw.lng<=U&&U<=this._ne.lng;return this._sw.lng>this._ne.lng&&(he=this._sw.lng>=U&&U>=this._ne.lng),ae&&he},lh.convert=function(y){return!y||y instanceof lh?y:new lh(y)};var ZQ=63710088e-1,Hc=function(y,I){if(isNaN(y)||isNaN(I))throw new Error(\"Invalid LngLat object: (\"+y+\", \"+I+\")\");if(this.lng=+y,this.lat=+I,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Hc.prototype.wrap=function(){return new Hc(C(this.lng,-180,180),this.lat)},Hc.prototype.toArray=function(){return[this.lng,this.lat]},Hc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Hc.prototype.distanceTo=function(y){var I=Math.PI/180,U=this.lat*I,$=y.lat*I,ae=Math.sin(U)*Math.sin($)+Math.cos(U)*Math.cos($)*Math.cos((y.lng-this.lng)*I),he=ZQ*Math.acos(Math.min(ae,1));return he},Hc.prototype.toBounds=function(y){y===void 0&&(y=0);var I=40075017,U=360*y/I,$=U/Math.cos(Math.PI/180*this.lat);return new lh(new Hc(this.lng-$,this.lat-U),new Hc(this.lng+$,this.lat+U))},Hc.convert=function(y){if(y instanceof Hc)return y;if(Array.isArray(y)&&(y.length===2||y.length===3))return new Hc(Number(y[0]),Number(y[1]));if(!Array.isArray(y)&&typeof y==\"object\"&&y!==null)return new Hc(Number(\"lng\"in y?y.lng:y.lon),Number(y.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 YQ=2*Math.PI*ZQ;function KQ(m){return YQ*Math.cos(m*Math.PI/180)}function JQ(m){return(180+m)/360}function $Q(m){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+m*Math.PI/360)))/360}function QQ(m,y){return m/KQ(y)}function Ret(m){return m*360-180}function hO(m){var y=180-m*360;return 360/Math.PI*Math.atan(Math.exp(y*Math.PI/180))-90}function Det(m,y){return m*KQ(hO(y))}function Fet(m){return 1/Math.cos(m*Math.PI/180)}var nb=function(y,I,U){U===void 0&&(U=0),this.x=+y,this.y=+I,this.z=+U};nb.fromLngLat=function(y,I){I===void 0&&(I=0);var U=Hc.convert(y);return new nb(JQ(U.lng),$Q(U.lat),QQ(I,U.lat))},nb.prototype.toLngLat=function(){return new Hc(Ret(this.x),hO(this.y))},nb.prototype.toAltitude=function(){return Det(this.z,this.y)},nb.prototype.meterInMercatorCoordinateUnits=function(){return 1/YQ*Fet(hO(this.y))};var ab=function(y,I,U){this.z=y,this.x=I,this.y=U,this.key=SS(0,y,y,I,U)};ab.prototype.equals=function(y){return this.z===y.z&&this.x===y.x&&this.y===y.y},ab.prototype.url=function(y,I){var U=Iet(this.x,this.y,this.z),$=zet(this.z,this.x,this.y);return y[(this.x+this.y)%y.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(I===\"tms\"?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",$).replace(\"{bbox-epsg-3857}\",U)},ab.prototype.getTilePoint=function(y){var I=Math.pow(2,this.z);return new u((y.x*I-this.x)*Ci,(y.y*I-this.y)*Ci)},ab.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var eee=function(y,I){this.wrap=y,this.canonical=I,this.key=SS(y,I.z,I.z,I.x,I.y)},uh=function(y,I,U,$,ae){this.overscaledZ=y,this.wrap=I,this.canonical=new ab(U,+$,+ae),this.key=SS(I,y,U,$,ae)};uh.prototype.equals=function(y){return this.overscaledZ===y.overscaledZ&&this.wrap===y.wrap&&this.canonical.equals(y.canonical)},uh.prototype.scaledTo=function(y){var I=this.canonical.z-y;return y>this.canonical.z?new uh(y,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new uh(y,this.wrap,y,this.canonical.x>>I,this.canonical.y>>I)},uh.prototype.calculateScaledKey=function(y,I){var U=this.canonical.z-y;return y>this.canonical.z?SS(this.wrap*+I,y,this.canonical.z,this.canonical.x,this.canonical.y):SS(this.wrap*+I,y,y,this.canonical.x>>U,this.canonical.y>>U)},uh.prototype.isChildOf=function(y){if(y.wrap!==this.wrap)return!1;var I=this.canonical.z-y.canonical.z;return y.overscaledZ===0||y.overscaledZ<this.overscaledZ&&y.canonical.x===this.canonical.x>>I&&y.canonical.y===this.canonical.y>>I},uh.prototype.children=function(y){if(this.overscaledZ>=y)return[new uh(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var I=this.canonical.z+1,U=this.canonical.x*2,$=this.canonical.y*2;return[new uh(I,this.wrap,I,U,$),new uh(I,this.wrap,I,U+1,$),new uh(I,this.wrap,I,U,$+1),new uh(I,this.wrap,I,U+1,$+1)]},uh.prototype.isLessThan=function(y){return this.wrap<y.wrap?!0:this.wrap>y.wrap?!1:this.overscaledZ<y.overscaledZ?!0:this.overscaledZ>y.overscaledZ?!1:this.canonical.x<y.canonical.x?!0:this.canonical.x>y.canonical.x?!1:this.canonical.y<y.canonical.y},uh.prototype.wrapped=function(){return new uh(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},uh.prototype.unwrapTo=function(y){return new uh(this.overscaledZ,y,this.canonical.z,this.canonical.x,this.canonical.y)},uh.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},uh.prototype.toUnwrapped=function(){return new eee(this.wrap,this.canonical)},uh.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},uh.prototype.getTilePoint=function(y){return this.canonical.getTilePoint(new nb(y.x-this.wrap,y.y))};function SS(m,y,I,U,$){m*=2,m<0&&(m=m*-1-1);var ae=1<<I;return(ae*ae*m+ae*$+U).toString(36)+I.toString(36)+y.toString(36)}function zet(m,y,I){for(var U=\"\",$,ae=m;ae>0;ae--)$=1<<ae-1,U+=(y&$?1:0)+(I&$?2:0);return U}X(\"CanonicalTileID\",ab),X(\"OverscaledTileID\",uh,{omit:[\"posMatrix\"]});var dy=function(y,I,U){if(this.uid=y,I.height!==I.width)throw new RangeError(\"DEM tiles must be square\");if(U&&U!==\"mapbox\"&&U!==\"terrarium\")return re('\"'+U+'\" is not a valid encoding type. 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this.encoding===\"terrarium\"?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},dy.prototype._idx=function(y,I){if(y<-1||y>=this.dim+1||I<-1||I>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(I+1)*this.stride+(y+1)},dy.prototype._unpackMapbox=function(y,I,U){return(y*256*256+I*256+U)/10-1e4},dy.prototype._unpackTerrarium=function(y,I,U){return y*256+I+U/256-32768},dy.prototype.getPixels=function(){return new wh({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},dy.prototype.backfillBorder=function(y,I,U){if(this.dim!==y.dim)throw new Error(\"dem dimension mismatch\");var $=I*this.dim,ae=I*this.dim+this.dim,he=U*this.dim,Oe=U*this.dim+this.dim;switch(I){case-1:$=ae-1;break;case 1:ae=$+1;break}switch(U){case-1:he=Oe-1;break;case 1:Oe=he+1;break}for(var rt=-I*this.dim,gt=-U*this.dim,Mt=he;Mt<Oe;Mt++)for(var or=$;or<ae;or++)this.data[this._idx(or,Mt)]=y.data[this._idx(or+rt,Mt+gt)]},X(\"DEMData\",dy);function Oet(m,y){var I={};if(!y)return I;for(var U=function(){var he=ae[$],Oe=he.layerIds.map(function(or){return y.getLayer(or)}).filter(Boolean);if(Oe.length!==0){he.layers=Oe,he.stateDependentLayerIds&&(he.stateDependentLayers=he.stateDependentLayerIds.map(function(or){return Oe.filter(function(_r){return _r.id===or})[0]}));for(var rt=0,gt=Oe;rt<gt.length;rt+=1){var Mt=gt[rt];I[Mt.id]=he}}},$=0,ae=m;$<ae.length;$+=1)U();return I}var t6=function(y){this._stringToNumber={},this._numberToString=[];for(var I=0;I<y.length;I++){var U=y[I];this._stringToNumber[U]=I,this._numberToString[I]=U}};t6.prototype.encode=function(y){return this._stringToNumber[y]},t6.prototype.decode=function(y){return this._numberToString[y]};var r6=function(y,I,U,$,ae){this.type=\"Feature\",this._vectorTileFeature=y,y._z=I,y._x=U,y._y=$,this.properties=y.properties,this.id=ae},dO={geometry:{configurable:!0}};dO.geometry.get=function(){return this._geometry===void 0&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},dO.geometry.set=function(m){this._geometry=m},r6.prototype.toJSON=function(){var y={geometry:this.geometry};for(var I in this)I===\"_geometry\"||I===\"_vectorTileFeature\"||(y[I]=this[I]);return y},Object.defineProperties(r6.prototype,dO);var Jw=function(){this.state={},this.stateChanges={},this.deletedStates={}};Jw.prototype.updateState=function(y,I,U){var $=String(I);if(this.stateChanges[y]=this.stateChanges[y]||{},this.stateChanges[y][$]=this.stateChanges[y][$]||{},_(this.stateChanges[y][$],U),this.deletedStates[y]===null){this.deletedStates[y]={};for(var ae in this.state[y])ae!==$&&(this.deletedStates[y][ae]=null)}else{var he=this.deletedStates[y]&&this.deletedStates[y][$]===null;if(he){this.deletedStates[y][$]={};for(var Oe in this.state[y][$])U[Oe]||(this.deletedStates[y][$][Oe]=null)}else for(var rt in U){var gt=this.deletedStates[y]&&this.deletedStates[y][$]&&this.deletedStates[y][$][rt]===null;gt&&delete this.deletedStates[y][$][rt]}}},Jw.prototype.removeFeatureState=function(y,I,U){var $=this.deletedStates[y]===null;if(!$){var ae=String(I);if(this.deletedStates[y]=this.deletedStates[y]||{},U&&I!==void 0)this.deletedStates[y][ae]!==null&&(this.deletedStates[y][ae]=this.deletedStates[y][ae]||{},this.deletedStates[y][ae][U]=null);else if(I!==void 0){var he=this.stateChanges[y]&&this.stateChanges[y][ae];if(he){this.deletedStates[y][ae]={};for(U in this.stateChanges[y][ae])this.deletedStates[y][ae][U]=null}else this.deletedStates[y][ae]=null}else this.deletedStates[y]=null}},Jw.prototype.getState=function(y,I){var U=String(I),$=this.state[y]||{},ae=this.stateChanges[y]||{},he=_({},$[U],ae[U]);if(this.deletedStates[y]===null)return{};if(this.deletedStates[y]){var Oe=this.deletedStates[y][I];if(Oe===null)return{};for(var rt in Oe)delete he[rt]}return he},Jw.prototype.initializeTileState=function(y,I){y.setFeatureState(this.state,I)},Jw.prototype.coalesceChanges=function(y,I){var U={};for(var $ in this.stateChanges){this.state[$]=this.state[$]||{};var ae={};for(var he in this.stateChanges[$])this.state[$][he]||(this.state[$][he]={}),_(this.state[$][he],this.stateChanges[$][he]),ae[he]=this.state[$][he];U[$]=ae}for(var Oe in this.deletedStates){this.state[Oe]=this.state[Oe]||{};var rt={};if(this.deletedStates[Oe]===null)for(var gt in this.state[Oe])rt[gt]={},this.state[Oe][gt]={};else for(var Mt in this.deletedStates[Oe]){var or=this.deletedStates[Oe][Mt]===null;if(or)this.state[Oe][Mt]={};else for(var _r=0,vr=Object.keys(this.deletedStates[Oe][Mt]);_r<vr.length;_r+=1){var Fr=vr[_r];delete this.state[Oe][Mt][Fr]}rt[Mt]=this.state[Oe][Mt]}U[Oe]=U[Oe]||{},_(U[Oe],rt)}if(this.stateChanges={},this.deletedStates={},Object.keys(U).length!==0)for(var ai in y){var Gi=y[ai];Gi.setFeatureState(U,I)}};var vy=function(y,I){this.tileID=y,this.x=y.canonical.x,this.y=y.canonical.y,this.z=y.canonical.z,this.grid=new ou(Ci,16,0),this.grid3D=new ou(Ci,16,0),this.featureIndexArray=new Ks,this.promoteId=I};vy.prototype.insert=function(y,I,U,$,ae,he){var Oe=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(U,$,ae);for(var rt=he?this.grid3D:this.grid,gt=0;gt<I.length;gt++){for(var Mt=I[gt],or=[1/0,1/0,-1/0,-1/0],_r=0;_r<Mt.length;_r++){var vr=Mt[_r];or[0]=Math.min(or[0],vr.x),or[1]=Math.min(or[1],vr.y),or[2]=Math.max(or[2],vr.x),or[3]=Math.max(or[3],vr.y)}or[0]<Ci&&or[1]<Ci&&or[2]>=0&&or[3]>=0&&rt.insert(Oe,or[0],or[1],or[2],or[3])}},vy.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new pg.VectorTile(new Xa(this.rawTileData)).layers,this.sourceLayerCoder=new t6(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},vy.prototype.query=function(y,I,U,$){var ae=this;this.loadVTLayers();for(var he=y.params||{},Oe=Ci/y.tileSize/y.scale,rt=be(he.filter),gt=y.queryGeometry,Mt=y.queryPadding*Oe,or=ree(gt),_r=this.grid.query(or.minX-Mt,or.minY-Mt,or.maxX+Mt,or.maxY+Mt),vr=ree(y.cameraQueryGeometry),Fr=this.grid3D.query(vr.minX-Mt,vr.minY-Mt,vr.maxX+Mt,vr.maxY+Mt,function(Zn,ga,ha,eo){return vp(y.cameraQueryGeometry,Zn-Mt,ga-Mt,ha+Mt,eo+Mt)}),ai=0,Gi=Fr;ai<Gi.length;ai+=1){var Ti=Gi[ai];_r.push(Ti)}_r.sort(qet);for(var bn={},rn,xn=function(Zn){var ga=_r[Zn];if(ga!==rn){rn=ga;var ha=ae.featureIndexArray.get(ga),eo=null;ae.loadMatchingFeature(bn,ha.bucketIndex,ha.sourceLayerIndex,ha.featureIndex,rt,he.layers,he.availableImages,I,U,$,function(za,Za,Ko){return eo||(eo=On(za)),Za.queryIntersectsFeature(gt,za,Ko,eo,ae.z,y.transform,Oe,y.pixelPosMatrix)})}},Dn=0;Dn<_r.length;Dn++)xn(Dn);return bn},vy.prototype.loadMatchingFeature=function(y,I,U,$,ae,he,Oe,rt,gt,Mt,or){var _r=this.bucketLayerIDs[I];if(!(he&&!N(he,_r))){var vr=this.sourceLayerCoder.decode(U),Fr=this.vtLayers[vr],ai=Fr.feature($);if(ae.needGeometry){var Gi=Ja(ai,!0);if(!ae.filter(new Gn(this.tileID.overscaledZ),Gi,this.tileID.canonical))return}else if(!ae.filter(new Gn(this.tileID.overscaledZ),ai))return;for(var Ti=this.getId(ai,vr),bn=0;bn<_r.length;bn++){var rn=_r[bn];if(!(he&&he.indexOf(rn)<0)){var xn=rt[rn];if(xn){var Dn={};Ti!==void 0&&Mt&&(Dn=Mt.getState(xn.sourceLayer||\"_geojsonTileLayer\",Ti));var Zn=_({},gt[rn]);Zn.paint=tee(Zn.paint,xn.paint,ai,Dn,Oe),Zn.layout=tee(Zn.layout,xn.layout,ai,Dn,Oe);var ga=!or||or(ai,xn,Dn);if(ga){var ha=new r6(ai,this.z,this.x,this.y,Ti);ha.layer=Zn;var eo=y[rn];eo===void 0&&(eo=y[rn]=[]),eo.push({featureIndex:$,feature:ha,intersectionZ:ga})}}}}}},vy.prototype.lookupSymbolFeatures=function(y,I,U,$,ae,he,Oe,rt){var gt={};this.loadVTLayers();for(var Mt=be(ae),or=0,_r=y;or<_r.length;or+=1){var vr=_r[or];this.loadMatchingFeature(gt,U,$,vr,Mt,he,Oe,rt,I)}return gt},vy.prototype.hasLayer=function(y){for(var I=0,U=this.bucketLayerIDs;I<U.length;I+=1)for(var $=U[I],ae=0,he=$;ae<he.length;ae+=1){var Oe=he[ae];if(y===Oe)return!0}return!1},vy.prototype.getId=function(y,I){var U=y.id;if(this.promoteId){var $=typeof this.promoteId==\"string\"?this.promoteId:this.promoteId[I];U=y.properties[$],typeof U==\"boolean\"&&(U=Number(U))}return U},X(\"FeatureIndex\",vy,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});function tee(m,y,I,U,$){return G(m,function(ae,he){var Oe=y instanceof Sc?y.get(he):null;return Oe&&Oe.evaluate?Oe.evaluate(I,U,$):Oe})}function ree(m){for(var y=1/0,I=1/0,U=-1/0,$=-1/0,ae=0,he=m;ae<he.length;ae+=1){var Oe=he[ae];y=Math.min(y,Oe.x),I=Math.min(I,Oe.y),U=Math.max(U,Oe.x),$=Math.max($,Oe.y)}return{minX:y,minY:I,maxX:U,maxY:$}}function qet(m,y){return y-m}var Bet=3e4,Wh=function(y,I){this.tileID=y,this.uid=g(),this.uses=0,this.tileSize=I,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};Wh.prototype.registerFadeDuration=function(y){var I=y+this.timeAdded;I<ct.now()||this.fadeEndTime&&I<this.fadeEndTime||(this.fadeEndTime=I)},Wh.prototype.wasRequested=function(){return this.state===\"errored\"||this.state===\"loaded\"||this.state===\"reloading\"},Wh.prototype.loadVectorData=function(y,I,U){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",!y){this.collisionBoxArray=new Va;return}y.featureIndex&&(this.latestFeatureIndex=y.featureIndex,y.rawTileData?(this.latestRawTileData=y.rawTileData,this.latestFeatureIndex.rawTileData=y.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=y.collisionBoxArray,this.buckets=Oet(y.buckets,I.style),this.hasSymbolBuckets=!1;for(var $ in this.buckets){var ae=this.buckets[$];if(ae instanceof Pu)if(this.hasSymbolBuckets=!0,U)ae.justReloaded=!0;else break}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var he in this.buckets){var Oe=this.buckets[he];if(Oe instanceof Pu&&Oe.hasRTLText){this.hasRTLText=!0,Zs();break}}this.queryPadding=0;for(var rt in this.buckets){var gt=this.buckets[rt];this.queryPadding=Math.max(this.queryPadding,I.style.getLayer(rt).queryRadius(gt))}y.imageAtlas&&(this.imageAtlas=y.imageAtlas),y.glyphAtlasImage&&(this.glyphAtlasImage=y.glyphAtlasImage)},Wh.prototype.unloadVectorData=function(){for(var y in this.buckets)this.buckets[y].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},Wh.prototype.getBucket=function(y){return this.buckets[y.id]},Wh.prototype.upload=function(y){for(var I in this.buckets){var U=this.buckets[I];U.uploadPending()&&U.upload(y)}var $=y.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new ib(y,this.imageAtlas.image,$.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new ib(y,this.glyphAtlasImage,$.ALPHA),this.glyphAtlasImage=null)},Wh.prototype.prepare=function(y){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(y,this.imageAtlasTexture)},Wh.prototype.queryRenderedFeatures=function(y,I,U,$,ae,he,Oe,rt,gt,Mt){return!this.latestFeatureIndex||!this.latestFeatureIndex.rawTileData?{}:this.latestFeatureIndex.query({queryGeometry:$,cameraQueryGeometry:ae,scale:he,tileSize:this.tileSize,pixelPosMatrix:Mt,transform:rt,params:Oe,queryPadding:this.queryPadding*gt},y,I,U)},Wh.prototype.querySourceFeatures=function(y,I){var U=this.latestFeatureIndex;if(!(!U||!U.rawTileData)){var $=U.loadVTLayers(),ae=I?I.sourceLayer:\"\",he=$._geojsonTileLayer||$[ae];if(he)for(var Oe=be(I&&I.filter),rt=this.tileID.canonical,gt=rt.z,Mt=rt.x,or=rt.y,_r={z:gt,x:Mt,y:or},vr=0;vr<he.length;vr++){var Fr=he.feature(vr);if(Oe.needGeometry){var ai=Ja(Fr,!0);if(!Oe.filter(new Gn(this.tileID.overscaledZ),ai,this.tileID.canonical))continue}else if(!Oe.filter(new Gn(this.tileID.overscaledZ),Fr))continue;var Gi=U.getId(Fr,ae),Ti=new r6(Fr,gt,Mt,or,Gi);Ti.tile=_r,y.push(Ti)}}},Wh.prototype.hasData=function(){return this.state===\"loaded\"||this.state===\"reloading\"||this.state===\"expired\"},Wh.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},Wh.prototype.setExpiryData=function(y){var I=this.expirationTime;if(y.cacheControl){var U=me(y.cacheControl);U[\"max-age\"]&&(this.expirationTime=Date.now()+U[\"max-age\"]*1e3)}else y.expires&&(this.expirationTime=new Date(y.expires).getTime());if(this.expirationTime){var $=Date.now(),ae=!1;if(this.expirationTime>$)ae=!1;else if(!I)ae=!0;else if(this.expirationTime<I)ae=!0;else{var he=this.expirationTime-I;he?this.expirationTime=$+Math.max(he,Bet):ae=!0}ae?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},Wh.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)},Wh.prototype.setFeatureState=function(y,I){if(!(!this.latestFeatureIndex||!this.latestFeatureIndex.rawTileData||Object.keys(y).length===0)){var U=this.latestFeatureIndex.loadVTLayers();for(var $ in this.buckets)if(I.style.hasLayer($)){var ae=this.buckets[$],he=ae.layers[0].sourceLayer||\"_geojsonTileLayer\",Oe=U[he],rt=y[he];if(!(!Oe||!rt||Object.keys(rt).length===0)){ae.update(rt,Oe,this.imageAtlas&&this.imageAtlas.patternPositions||{});var gt=I&&I.style&&I.style.getLayer($);gt&&(this.queryPadding=Math.max(this.queryPadding,gt.queryRadius(ae)))}}}},Wh.prototype.holdingForFade=function(){return this.symbolFadeHoldUntil!==void 0},Wh.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<ct.now()},Wh.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},Wh.prototype.setHoldDuration=function(y){this.symbolFadeHoldUntil=ct.now()+y},Wh.prototype.setDependencies=function(y,I){for(var U={},$=0,ae=I;$<ae.length;$+=1){var he=ae[$];U[he]=!0}this.dependencies[y]=U},Wh.prototype.hasDependency=function(y,I){for(var U=0,$=y;U<$.length;U+=1){var ae=$[U],he=this.dependencies[ae];if(he)for(var Oe=0,rt=I;Oe<rt.length;Oe+=1){var gt=rt[Oe];if(he[gt])return!0}}return!1};var Net=[\"type\",\"source\",\"source-layer\",\"minzoom\",\"maxzoom\",\"filter\",\"layout\"],F1=f.performance,iee=function(y){this._marks={start:[y.url,\"start\"].join(\"#\"),end:[y.url,\"end\"].join(\"#\"),measure:y.url.toString()},F1.mark(this._marks.start)};iee.prototype.finish=function(){F1.mark(this._marks.end);var y=F1.getEntriesByName(this._marks.measure);return y.length===0&&(F1.measure(this._marks.measure,this._marks.start,this._marks.end),y=F1.getEntriesByName(this._marks.measure),F1.clearMarks(this._marks.start),F1.clearMarks(this._marks.end),F1.clearMeasures(this._marks.measure)),y},i.Actor=Kw,i.AlphaImage=Pv,i.CanonicalTileID=ab,i.CollisionBoxArray=Va,i.Color=fs,i.DEMData=dy,i.DataConstantProperty=Ee,i.DictionaryCoder=t6,i.EXTENT=Ci,i.ErrorEvent=da,i.EvaluationParameters=Gn,i.Event=Wo,i.Evented=Wn,i.FeatureIndex=vy,i.FillBucket=pp,i.FillExtrusionBucket=Vp,i.ImageAtlas=gg,i.ImagePosition=Zf,i.LineBucket=sh,i.LngLat=Hc,i.LngLatBounds=lh,i.MercatorCoordinate=nb,i.ONE_EM=An,i.OverscaledTileID=uh,i.Point=u,i.Point$1=u,i.Properties=Br,i.Protobuf=Xa,i.RGBAImage=wh,i.RequestManager=Qe,i.RequestPerformance=iee,i.ResourceType=ea,i.SegmentVector=io,i.SourceFeatureState=Jw,i.StructArrayLayout1ui2=wa,i.StructArrayLayout2f1f2i16=Ui,i.StructArrayLayout2i4=Yr,i.StructArrayLayout3ui6=vn,i.StructArrayLayout4i8=xi,i.SymbolBucket=Pu,i.Texture=ib,i.Tile=Wh,i.Transitionable=Uo,i.Uniform1f=et,i.Uniform1i=Ve,i.Uniform2f=at,i.Uniform3f=kt,i.Uniform4f=Ot,i.UniformColor=It,i.UniformMatrix4f=Rt,i.UnwrappedTileID=eee,i.ValidationError=_a,i.WritingMode=uv,i.ZoomHistory=Ct,i.add=Lv,i.addDynamicAttributes=uO,i.asyncAll=E,i.bezier=x,i.bindAll=O,i.browser=ct,i.cacheEntryPossiblyAdded=Hi,i.clamp=p,i.clearTileCache=wn,i.clipLine=OQ,i.clone=T1,i.clone$1=H,i.clone$2=Mw,i.collisionCircleLayout=Lt,i.config=pt,i.create=w1,i.create$1=Gh,i.create$2=hg,i.createCommonjsModule=a,i.createExpression=oo,i.createLayout=ji,i.createStyleLayer=Pet,i.cross=F9,i.deepEqual=h,i.dot=D9,i.dot$1=N9,i.ease=b,i.emitValidationErrors=Lu,i.endsWith=V,i.enforceCacheSizeLimit=Pn,i.evaluateSizeForFeature=LQ,i.evaluateSizeForZoom=PQ,i.evaluateVariableOffset=NQ,i.evented=Ia,i.extend=_,i.featureFilter=be,i.filterObject=Z,i.fromRotation=rm,i.getAnchorAlignment=wS,i.getAnchorJustification=lO,i.getArrayBuffer=ri,i.getImage=la,i.getJSON=Zr,i.getRTLTextPluginStatus=yo,i.getReferrer=Vt,i.getVideo=ma,i.identity=oy,i.invert=im,i.isChar=nt,i.isMapboxURL=Et,i.keysDifference=L,i.makeRequest=Er,i.mapObject=G,i.mercatorXfromLng=JQ,i.mercatorYfromLat=$Q,i.mercatorZfromAltitude=QQ,i.mul=Nx,i.multiply=nm,i.mvt=pg,i.nextPowerOfTwo=T,i.normalize=Ux,i.number=al,i.offscreenCanvasSupported=kn,i.ortho=wu,i.parseGlyphPBF=p0,i.pbf=Xa,i.performSymbolLayout=cet,i.perspective=A1,i.pick=k,i.plugin=Es,i.polygonIntersectsPolygon=so,i.postMapLoadEvent=je,i.postTurnstileEvent=Ge,i.potpack=Qv,i.refProperties=Net,i.register=X,i.registerForPluginStateChange=Da,i.renderColorRamp=Hx,i.rotate=ay,i.rotateX=Sd,i.rotateZ=sy,i.scale=eu,i.scale$1=B9,i.scale$2=Ew,i.setCacheLimits=pn,i.setRTLTextPlugin=go,i.sphericalToCartesian=Me,i.sqrLen=rS,i.styleSpec=Fn,i.sub=O9,i.symbolSize=eet,i.transformMat3=z9,i.transformMat4=ly,i.translate=vc,i.triggerPluginCompletionEvent=ia,i.uniqueId=g,i.validateCustomStyleLayer=Cet,i.validateLight=To,i.validateStyle=wo,i.values=A,i.vectorTile=pg,i.version=o,i.warnOnce=re,i.webpSupported=Wt,i.window=f,i.wrap=C}),n([\"./shared\"],function(i){\"use strict\";function a(Vt){var _t=typeof Vt;if(_t===\"number\"||_t===\"boolean\"||_t===\"string\"||Vt===void 0||Vt===null)return JSON.stringify(Vt);if(Array.isArray(Vt)){for(var tr=\"[\",ar=0,Er=Vt;ar<Er.length;ar+=1){var Zr=Er[ar];tr+=a(Zr)+\",\"}return tr+\"]\"}for(var ri=Object.keys(Vt).sort(),$r=\"{\",zi=0;zi<ri.length;zi++)$r+=JSON.stringify(ri[zi])+\":\"+a(Vt[ri[zi]])+\",\";return $r+\"}\"}function o(Vt){for(var _t=\"\",tr=0,ar=i.refProperties;tr<ar.length;tr+=1){var Er=ar[tr];_t+=\"/\"+a(Vt[Er])}return _t}function s(Vt,_t){for(var tr={},ar=0;ar<Vt.length;ar++){var Er=_t&&_t[Vt[ar].id]||o(Vt[ar]);_t&&(_t[Vt[ar].id]=Er);var Zr=tr[Er];Zr||(Zr=tr[Er]=[]),Zr.push(Vt[ar])}var ri=[];for(var $r in tr)ri.push(tr[$r]);return ri}var l=function(_t){this.keyCache={},_t&&this.replace(_t)};l.prototype.replace=function(_t){this._layerConfigs={},this._layers={},this.update(_t,[])},l.prototype.update=function(_t,tr){for(var ar=this,Er=0,Zr=_t;Er<Zr.length;Er+=1){var ri=Zr[Er];this._layerConfigs[ri.id]=ri;var $r=this._layers[ri.id]=i.createStyleLayer(ri);$r._featureFilter=i.featureFilter($r.filter),this.keyCache[ri.id]&&delete this.keyCache[ri.id]}for(var zi=0,Ji=tr;zi<Ji.length;zi+=1){var en=Ji[zi];delete this.keyCache[en],delete this._layerConfigs[en],delete this._layers[en]}this.familiesBySource={};for(var cn=s(i.values(this._layerConfigs),this.keyCache),yn=0,Mn=cn;yn<Mn.length;yn+=1){var Ba=Mn[yn],la=Ba.map(function(Wn){return ar._layers[Wn.id]}),ma=la[0];if(ma.visibility!==\"none\"){var Wa=ma.source||\"\",Fa=this.familiesBySource[Wa];Fa||(Fa=this.familiesBySource[Wa]={});var Wo=ma.sourceLayer||\"_geojsonTileLayer\",da=Fa[Wo];da||(da=Fa[Wo]=[]),da.push(la)}}};var u=1,c=function(_t){var tr={},ar=[];for(var Er in _t){var Zr=_t[Er],ri=tr[Er]={};for(var $r in Zr){var zi=Zr[+$r];if(!(!zi||zi.bitmap.width===0||zi.bitmap.height===0)){var Ji={x:0,y:0,w:zi.bitmap.width+2*u,h:zi.bitmap.height+2*u};ar.push(Ji),ri[$r]={rect:Ji,metrics:zi.metrics}}}}var en=i.potpack(ar),cn=en.w,yn=en.h,Mn=new i.AlphaImage({width:cn||1,height:yn||1});for(var Ba in _t){var la=_t[Ba];for(var ma in la){var Wa=la[+ma];if(!(!Wa||Wa.bitmap.width===0||Wa.bitmap.height===0)){var Fa=tr[Ba][ma].rect;i.AlphaImage.copy(Wa.bitmap,Mn,{x:0,y:0},{x:Fa.x+u,y:Fa.y+u},Wa.bitmap)}}}this.image=Mn,this.positions=tr};i.register(\"GlyphAtlas\",c);var f=function(_t){this.tileID=new i.OverscaledTileID(_t.tileID.overscaledZ,_t.tileID.wrap,_t.tileID.canonical.z,_t.tileID.canonical.x,_t.tileID.canonical.y),this.uid=_t.uid,this.zoom=_t.zoom,this.pixelRatio=_t.pixelRatio,this.tileSize=_t.tileSize,this.source=_t.source,this.overscaling=this.tileID.overscaleFactor(),this.showCollisionBoxes=_t.showCollisionBoxes,this.collectResourceTiming=!!_t.collectResourceTiming,this.returnDependencies=!!_t.returnDependencies,this.promoteId=_t.promoteId};f.prototype.parse=function(_t,tr,ar,Er,Zr){var ri=this;this.status=\"parsing\",this.data=_t,this.collisionBoxArray=new i.CollisionBoxArray;var $r=new i.DictionaryCoder(Object.keys(_t.layers).sort()),zi=new i.FeatureIndex(this.tileID,this.promoteId);zi.bucketLayerIDs=[];var Ji={},en={featureIndex:zi,iconDependencies:{},patternDependencies:{},glyphDependencies:{},availableImages:ar},cn=tr.familiesBySource[this.source];for(var yn in cn){var Mn=_t.layers[yn];if(Mn){Mn.version===1&&i.warnOnce('Vector tile source \"'+this.source+'\" layer \"'+yn+'\" does not use vector tile spec v2 and therefore may have some rendering errors.');for(var Ba=$r.encode(yn),la=[],ma=0;ma<Mn.length;ma++){var Wa=Mn.feature(ma),Fa=zi.getId(Wa,yn);la.push({feature:Wa,id:Fa,index:ma,sourceLayerIndex:Ba})}for(var Wo=0,da=cn[yn];Wo<da.length;Wo+=1){var Wn=da[Wo],Ga=Wn[0];if(!(Ga.minzoom&&this.zoom<Math.floor(Ga.minzoom))&&!(Ga.maxzoom&&this.zoom>=Ga.maxzoom)&&Ga.visibility!==\"none\"){h(Wn,this.zoom,ar);var vo=Ji[Ga.id]=Ga.createBucket({index:zi.bucketLayerIDs.length,layers:Wn,zoom:this.zoom,pixelRatio:this.pixelRatio,overscaling:this.overscaling,collisionBoxArray:this.collisionBoxArray,sourceLayerIndex:Ba,sourceID:this.source});vo.populate(la,en,this.tileID.canonical),zi.bucketLayerIDs.push(Wn.map(function(ki){return ki.id}))}}}}var jn,St,Cr,Qr,pi=i.mapObject(en.glyphDependencies,function(ki){return Object.keys(ki).map(Number)});Object.keys(pi).length?Er.send(\"getGlyphs\",{uid:this.uid,stacks:pi},function(ki,_n){jn||(jn=ki,St=_n,En.call(ri))}):St={};var fn=Object.keys(en.iconDependencies);fn.length?Er.send(\"getImages\",{icons:fn,source:this.source,tileID:this.tileID,type:\"icons\"},function(ki,_n){jn||(jn=ki,Cr=_n,En.call(ri))}):Cr={};var Sn=Object.keys(en.patternDependencies);Sn.length?Er.send(\"getImages\",{icons:Sn,source:this.source,tileID:this.tileID,type:\"patterns\"},function(ki,_n){jn||(jn=ki,Qr=_n,En.call(ri))}):Qr={},En.call(this);function En(){if(jn)return Zr(jn);if(St&&Cr&&Qr){var ki=new c(St),_n=new i.ImageAtlas(Cr,Qr);for(var ya in Ji){var Jn=Ji[ya];Jn instanceof i.SymbolBucket?(h(Jn.layers,this.zoom,ar),i.performSymbolLayout(Jn,St,ki.positions,Cr,_n.iconPositions,this.showCollisionBoxes,this.tileID.canonical)):Jn.hasPattern&&(Jn instanceof i.LineBucket||Jn instanceof i.FillBucket||Jn instanceof i.FillExtrusionBucket)&&(h(Jn.layers,this.zoom,ar),Jn.addFeatures(en,this.tileID.canonical,_n.patternPositions))}this.status=\"done\",Zr(null,{buckets:i.values(Ji).filter(function(Ma){return!Ma.isEmpty()}),featureIndex:zi,collisionBoxArray:this.collisionBoxArray,glyphAtlasImage:ki.image,imageAtlas:_n,glyphMap:this.returnDependencies?St:null,iconMap:this.returnDependencies?Cr:null,glyphPositions:this.returnDependencies?ki.positions:null})}}};function h(Vt,_t,tr){for(var ar=new i.EvaluationParameters(_t),Er=0,Zr=Vt;Er<Zr.length;Er+=1){var ri=Zr[Er];ri.recalculate(ar,tr)}}function d(Vt,_t){var tr=i.getArrayBuffer(Vt.request,function(ar,Er,Zr,ri){ar?_t(ar):Er&&_t(null,{vectorTile:new i.vectorTile.VectorTile(new i.pbf(Er)),rawData:Er,cacheControl:Zr,expires:ri})});return function(){tr.cancel(),_t()}}var v=function(_t,tr,ar,Er){this.actor=_t,this.layerIndex=tr,this.availableImages=ar,this.loadVectorData=Er||d,this.loading={},this.loaded={}};v.prototype.loadTile=function(_t,tr){var ar=this,Er=_t.uid;this.loading||(this.loading={});var Zr=_t&&_t.request&&_t.request.collectResourceTiming?new i.RequestPerformance(_t.request):!1,ri=this.loading[Er]=new f(_t);ri.abort=this.loadVectorData(_t,function($r,zi){if(delete ar.loading[Er],$r||!zi)return ri.status=\"done\",ar.loaded[Er]=ri,tr($r);var Ji=zi.rawData,en={};zi.expires&&(en.expires=zi.expires),zi.cacheControl&&(en.cacheControl=zi.cacheControl);var cn={};if(Zr){var yn=Zr.finish();yn&&(cn.resourceTiming=JSON.parse(JSON.stringify(yn)))}ri.vectorTile=zi.vectorTile,ri.parse(zi.vectorTile,ar.layerIndex,ar.availableImages,ar.actor,function(Mn,Ba){if(Mn||!Ba)return tr(Mn);tr(null,i.extend({rawTileData:Ji.slice(0)},Ba,en,cn))}),ar.loaded=ar.loaded||{},ar.loaded[Er]=ri})},v.prototype.reloadTile=function(_t,tr){var ar=this,Er=this.loaded,Zr=_t.uid,ri=this;if(Er&&Er[Zr]){var $r=Er[Zr];$r.showCollisionBoxes=_t.showCollisionBoxes;var zi=function(Ji,en){var cn=$r.reloadCallback;cn&&(delete $r.reloadCallback,$r.parse($r.vectorTile,ri.layerIndex,ar.availableImages,ri.actor,cn)),tr(Ji,en)};$r.status===\"parsing\"?$r.reloadCallback=zi:$r.status===\"done\"&&($r.vectorTile?$r.parse($r.vectorTile,this.layerIndex,this.availableImages,this.actor,zi):zi())}},v.prototype.abortTile=function(_t,tr){var ar=this.loading,Er=_t.uid;ar&&ar[Er]&&ar[Er].abort&&(ar[Er].abort(),delete ar[Er]),tr()},v.prototype.removeTile=function(_t,tr){var ar=this.loaded,Er=_t.uid;ar&&ar[Er]&&delete ar[Er],tr()};var x=i.window.ImageBitmap,b=function(){this.loaded={}};b.prototype.loadTile=function(_t,tr){var ar=_t.uid,Er=_t.encoding,Zr=_t.rawImageData,ri=x&&Zr instanceof x?this.getImageData(Zr):Zr,$r=new i.DEMData(ar,ri,Er);this.loaded=this.loaded||{},this.loaded[ar]=$r,tr(null,$r)},b.prototype.getImageData=function(_t){(!this.offscreenCanvas||!this.offscreenCanvasContext)&&(this.offscreenCanvas=new OffscreenCanvas(_t.width,_t.height),this.offscreenCanvasContext=this.offscreenCanvas.getContext(\"2d\")),this.offscreenCanvas.width=_t.width,this.offscreenCanvas.height=_t.height,this.offscreenCanvasContext.drawImage(_t,0,0,_t.width,_t.height);var tr=this.offscreenCanvasContext.getImageData(-1,-1,_t.width+2,_t.height+2);return this.offscreenCanvasContext.clearRect(0,0,this.offscreenCanvas.width,this.offscreenCanvas.height),new i.RGBAImage({width:tr.width,height:tr.height},tr.data)},b.prototype.removeTile=function(_t){var tr=this.loaded,ar=_t.uid;tr&&tr[ar]&&delete tr[ar]};var p=C;function C(Vt,_t){var tr=Vt&&Vt.type,ar;if(tr===\"FeatureCollection\")for(ar=0;ar<Vt.features.length;ar++)C(Vt.features[ar],_t);else if(tr===\"GeometryCollection\")for(ar=0;ar<Vt.geometries.length;ar++)C(Vt.geometries[ar],_t);else if(tr===\"Feature\")C(Vt.geometry,_t);else if(tr===\"Polygon\")E(Vt.coordinates,_t);else if(tr===\"MultiPolygon\")for(ar=0;ar<Vt.coordinates.length;ar++)E(Vt.coordinates[ar],_t);return Vt}function E(Vt,_t){if(Vt.length!==0){A(Vt[0],_t);for(var tr=1;tr<Vt.length;tr++)A(Vt[tr],!_t)}}function A(Vt,_t){for(var tr=0,ar=0,Er=Vt.length,Zr=Er-1;ar<Er;Zr=ar++)tr+=(Vt[ar][0]-Vt[Zr][0])*(Vt[Zr][1]+Vt[ar][1]);tr>=0!=!!_t&&Vt.reverse()}var L=i.vectorTile.VectorTileFeature.prototype.toGeoJSON,_=function(_t){this._feature=_t,this.extent=i.EXTENT,this.type=_t.type,this.properties=_t.tags,\"id\"in _t&&!isNaN(_t.id)&&(this.id=parseInt(_t.id,10))};_.prototype.loadGeometry=function(){if(this._feature.type===1){for(var _t=[],tr=0,ar=this._feature.geometry;tr<ar.length;tr+=1){var Er=ar[tr];_t.push([new i.Point$1(Er[0],Er[1])])}return _t}else{for(var Zr=[],ri=0,$r=this._feature.geometry;ri<$r.length;ri+=1){for(var zi=$r[ri],Ji=[],en=0,cn=zi;en<cn.length;en+=1){var yn=cn[en];Ji.push(new i.Point$1(yn[0],yn[1]))}Zr.push(Ji)}return Zr}},_.prototype.toGeoJSON=function(_t,tr,ar){return L.call(this,_t,tr,ar)};var k=function(_t){this.layers={_geojsonTileLayer:this},this.name=\"_geojsonTileLayer\",this.extent=i.EXTENT,this.length=_t.length,this._features=_t};k.prototype.feature=function(_t){return new _(this._features[_t])};var M=i.vectorTile.VectorTileFeature,g=P;function P(Vt,_t){this.options=_t||{},this.features=Vt,this.length=Vt.length}P.prototype.feature=function(Vt){return new T(this.features[Vt],this.options.extent)};function T(Vt,_t){this.id=typeof Vt.id==\"number\"?Vt.id:void 0,this.type=Vt.type,this.rawGeometry=Vt.type===1?[Vt.geometry]:Vt.geometry,this.properties=Vt.tags,this.extent=_t||4096}T.prototype.loadGeometry=function(){var Vt=this.rawGeometry;this.geometry=[];for(var _t=0;_t<Vt.length;_t++){for(var tr=Vt[_t],ar=[],Er=0;Er<tr.length;Er++)ar.push(new i.Point$1(tr[Er][0],tr[Er][1]));this.geometry.push(ar)}return this.geometry},T.prototype.bbox=function(){this.geometry||this.loadGeometry();for(var Vt=this.geometry,_t=1/0,tr=-1/0,ar=1/0,Er=-1/0,Zr=0;Zr<Vt.length;Zr++)for(var ri=Vt[Zr],$r=0;$r<ri.length;$r++){var zi=ri[$r];_t=Math.min(_t,zi.x),tr=Math.max(tr,zi.x),ar=Math.min(ar,zi.y),Er=Math.max(Er,zi.y)}return[_t,ar,tr,Er]},T.prototype.toGeoJSON=M.prototype.toGeoJSON;var z=Z,O=Z,V=H,G=g;function Z(Vt){var _t=new i.pbf;return N(Vt,_t),_t.finish()}function H(Vt,_t){_t=_t||{};var tr={};for(var ar in Vt)tr[ar]=new g(Vt[ar].features,_t),tr[ar].name=ar,tr[ar].version=_t.version,tr[ar].extent=_t.extent;return Z({layers:tr})}function N(Vt,_t){for(var tr in Vt.layers)_t.writeMessage(3,j,Vt.layers[tr])}function j(Vt,_t){_t.writeVarintField(15,Vt.version||1),_t.writeStringField(1,Vt.name||\"\"),_t.writeVarintField(5,Vt.extent||4096);var tr,ar={keys:[],values:[],keycache:{},valuecache:{}};for(tr=0;tr<Vt.length;tr++)ar.feature=Vt.feature(tr),_t.writeMessage(2,re,ar);var Er=ar.keys;for(tr=0;tr<Er.length;tr++)_t.writeStringField(3,Er[tr]);var Zr=ar.values;for(tr=0;tr<Zr.length;tr++)_t.writeMessage(4,me,Zr[tr])}function re(Vt,_t){var tr=Vt.feature;tr.id!==void 0&&_t.writeVarintField(1,tr.id),_t.writeMessage(2,oe,Vt),_t.writeVarintField(3,tr.type),_t.writeMessage(4,ke,tr)}function oe(Vt,_t){var tr=Vt.feature,ar=Vt.keys,Er=Vt.values,Zr=Vt.keycache,ri=Vt.valuecache;for(var $r in tr.properties){var zi=Zr[$r];typeof zi==\"undefined\"&&(ar.push($r),zi=ar.length-1,Zr[$r]=zi),_t.writeVarint(zi);var Ji=tr.properties[$r],en=typeof Ji;en!==\"string\"&&en!==\"boolean\"&&en!==\"number\"&&(Ji=JSON.stringify(Ji));var cn=en+\":\"+Ji,yn=ri[cn];typeof yn==\"undefined\"&&(Er.push(Ji),yn=Er.length-1,ri[cn]=yn),_t.writeVarint(yn)}}function _e(Vt,_t){return(_t<<3)+(Vt&7)}function Me(Vt){return Vt<<1^Vt>>31}function ke(Vt,_t){for(var tr=Vt.loadGeometry(),ar=Vt.type,Er=0,Zr=0,ri=tr.length,$r=0;$r<ri;$r++){var zi=tr[$r],Ji=1;ar===1&&(Ji=zi.length),_t.writeVarint(_e(1,Ji));for(var en=ar===3?zi.length-1:zi.length,cn=0;cn<en;cn++){cn===1&&ar!==1&&_t.writeVarint(_e(2,en-1));var yn=zi[cn].x-Er,Mn=zi[cn].y-Zr;_t.writeVarint(Me(yn)),_t.writeVarint(Me(Mn)),Er+=yn,Zr+=Mn}ar===3&&_t.writeVarint(_e(7,1))}}function me(Vt,_t){var tr=typeof Vt;tr===\"string\"?_t.writeStringField(1,Vt):tr===\"boolean\"?_t.writeBooleanField(7,Vt):tr===\"number\"&&(Vt%1!==0?_t.writeDoubleField(3,Vt):Vt<0?_t.writeSVarintField(6,Vt):_t.writeVarintField(5,Vt))}z.fromVectorTileJs=O,z.fromGeojsonVt=V,z.GeoJSONWrapper=G;function ie(Vt,_t,tr,ar,Er,Zr){if(!(Er-ar<=tr)){var ri=ar+Er>>1;Se(Vt,_t,ri,ar,Er,Zr%2),ie(Vt,_t,tr,ar,ri-1,Zr+1),ie(Vt,_t,tr,ri+1,Er,Zr+1)}}function Se(Vt,_t,tr,ar,Er,Zr){for(;Er>ar;){if(Er-ar>600){var ri=Er-ar+1,$r=tr-ar+1,zi=Math.log(ri),Ji=.5*Math.exp(2*zi/3),en=.5*Math.sqrt(zi*Ji*(ri-Ji)/ri)*($r-ri/2<0?-1:1),cn=Math.max(ar,Math.floor(tr-$r*Ji/ri+en)),yn=Math.min(Er,Math.floor(tr+(ri-$r)*Ji/ri+en));Se(Vt,_t,tr,cn,yn,Zr)}var Mn=_t[2*tr+Zr],Ba=ar,la=Er;for(Le(Vt,_t,ar,tr),_t[2*Er+Zr]>Mn&&Le(Vt,_t,ar,Er);Ba<la;){for(Le(Vt,_t,Ba,la),Ba++,la--;_t[2*Ba+Zr]<Mn;)Ba++;for(;_t[2*la+Zr]>Mn;)la--}_t[2*ar+Zr]===Mn?Le(Vt,_t,ar,la):(la++,Le(Vt,_t,la,Er)),la<=tr&&(ar=la+1),tr<=la&&(Er=la-1)}}function Le(Vt,_t,tr,ar){Ae(Vt,tr,ar),Ae(_t,2*tr,2*ar),Ae(_t,2*tr+1,2*ar+1)}function Ae(Vt,_t,tr){var ar=Vt[_t];Vt[_t]=Vt[tr],Vt[tr]=ar}function De(Vt,_t,tr,ar,Er,Zr,ri){for(var $r=[0,Vt.length-1,0],zi=[],Ji,en;$r.length;){var cn=$r.pop(),yn=$r.pop(),Mn=$r.pop();if(yn-Mn<=ri){for(var Ba=Mn;Ba<=yn;Ba++)Ji=_t[2*Ba],en=_t[2*Ba+1],Ji>=tr&&Ji<=Er&&en>=ar&&en<=Zr&&zi.push(Vt[Ba]);continue}var la=Math.floor((Mn+yn)/2);Ji=_t[2*la],en=_t[2*la+1],Ji>=tr&&Ji<=Er&&en>=ar&&en<=Zr&&zi.push(Vt[la]);var ma=(cn+1)%2;(cn===0?tr<=Ji:ar<=en)&&($r.push(Mn),$r.push(la-1),$r.push(ma)),(cn===0?Er>=Ji:Zr>=en)&&($r.push(la+1),$r.push(yn),$r.push(ma))}return zi}function Pe(Vt,_t,tr,ar,Er,Zr){for(var ri=[0,Vt.length-1,0],$r=[],zi=Er*Er;ri.length;){var Ji=ri.pop(),en=ri.pop(),cn=ri.pop();if(en-cn<=Zr){for(var yn=cn;yn<=en;yn++)ge(_t[2*yn],_t[2*yn+1],tr,ar)<=zi&&$r.push(Vt[yn]);continue}var Mn=Math.floor((cn+en)/2),Ba=_t[2*Mn],la=_t[2*Mn+1];ge(Ba,la,tr,ar)<=zi&&$r.push(Vt[Mn]);var ma=(Ji+1)%2;(Ji===0?tr-Er<=Ba:ar-Er<=la)&&(ri.push(cn),ri.push(Mn-1),ri.push(ma)),(Ji===0?tr+Er>=Ba:ar+Er>=la)&&(ri.push(Mn+1),ri.push(en),ri.push(ma))}return $r}function ge(Vt,_t,tr,ar){var Er=Vt-tr,Zr=_t-ar;return Er*Er+Zr*Zr}var Fe=function(Vt){return Vt[0]},ce=function(Vt){return Vt[1]},Ze=function(_t,tr,ar,Er,Zr){tr===void 0&&(tr=Fe),ar===void 0&&(ar=ce),Er===void 0&&(Er=64),Zr===void 0&&(Zr=Float64Array),this.nodeSize=Er,this.points=_t;for(var ri=_t.length<65536?Uint16Array:Uint32Array,$r=this.ids=new ri(_t.length),zi=this.coords=new Zr(_t.length*2),Ji=0;Ji<_t.length;Ji++)$r[Ji]=Ji,zi[2*Ji]=tr(_t[Ji]),zi[2*Ji+1]=ar(_t[Ji]);ie($r,zi,Er,0,$r.length-1,0)};Ze.prototype.range=function(_t,tr,ar,Er){return De(this.ids,this.coords,_t,tr,ar,Er,this.nodeSize)},Ze.prototype.within=function(_t,tr,ar){return Pe(this.ids,this.coords,_t,tr,ar,this.nodeSize)};var ct={minZoom:0,maxZoom:16,minPoints:2,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(Vt){return Vt}},pt=function(_t){this.options=ur(Object.create(ct),_t),this.trees=new Array(this.options.maxZoom+1)};pt.prototype.load=function(_t){var tr=this.options,ar=tr.log,Er=tr.minZoom,Zr=tr.maxZoom,ri=tr.nodeSize;ar&&console.time(\"total time\");var $r=\"prepare \"+_t.length+\" points\";ar&&console.time($r),this.points=_t;for(var zi=[],Ji=0;Ji<_t.length;Ji++)_t[Ji].geometry&&zi.push(st(_t[Ji],Ji));this.trees[Zr+1]=new Ze(zi,Qe,Et,ri,Float32Array),ar&&console.timeEnd($r);for(var en=Zr;en>=Er;en--){var cn=+Date.now();zi=this._cluster(zi,en),this.trees[en]=new Ze(zi,Qe,Et,ri,Float32Array),ar&&console.log(\"z%d: %d clusters in %dms\",en,zi.length,+Date.now()-cn)}return ar&&console.timeEnd(\"total time\"),this},pt.prototype.getClusters=function(_t,tr){var ar=((_t[0]+180)%360+360)%360-180,Er=Math.max(-90,Math.min(90,_t[1])),Zr=_t[2]===180?180:((_t[2]+180)%360+360)%360-180,ri=Math.max(-90,Math.min(90,_t[3]));if(_t[2]-_t[0]>=360)ar=-180,Zr=180;else if(ar>Zr){var $r=this.getClusters([ar,Er,180,ri],tr),zi=this.getClusters([-180,Er,Zr,ri],tr);return $r.concat(zi)}for(var Ji=this.trees[this._limitZoom(tr)],en=Ji.range(Nt(ar),$t(ri),Nt(Zr),$t(Er)),cn=[],yn=0,Mn=en;yn<Mn.length;yn+=1){var Ba=Mn[yn],la=Ji.points[Ba];cn.push(la.numPoints?lt(la):this.points[la.index])}return cn},pt.prototype.getChildren=function(_t){var tr=this._getOriginId(_t),ar=this._getOriginZoom(_t),Er=\"No cluster with the specified id.\",Zr=this.trees[ar];if(!Zr)throw new Error(Er);var ri=Zr.points[tr];if(!ri)throw new Error(Er);for(var $r=this.options.radius/(this.options.extent*Math.pow(2,ar-1)),zi=Zr.within(ri.x,ri.y,$r),Ji=[],en=0,cn=zi;en<cn.length;en+=1){var yn=cn[en],Mn=Zr.points[yn];Mn.parentId===_t&&Ji.push(Mn.numPoints?lt(Mn):this.points[Mn.index])}if(Ji.length===0)throw new Error(Er);return Ji},pt.prototype.getLeaves=function(_t,tr,ar){tr=tr||10,ar=ar||0;var Er=[];return this._appendLeaves(Er,_t,tr,ar,0),Er},pt.prototype.getTile=function(_t,tr,ar){var Er=this.trees[this._limitZoom(_t)],Zr=Math.pow(2,_t),ri=this.options,$r=ri.extent,zi=ri.radius,Ji=zi/$r,en=(ar-Ji)/Zr,cn=(ar+1+Ji)/Zr,yn={features:[]};return this._addTileFeatures(Er.range((tr-Ji)/Zr,en,(tr+1+Ji)/Zr,cn),Er.points,tr,ar,Zr,yn),tr===0&&this._addTileFeatures(Er.range(1-Ji/Zr,en,1,cn),Er.points,Zr,ar,Zr,yn),tr===Zr-1&&this._addTileFeatures(Er.range(0,en,Ji/Zr,cn),Er.points,-1,ar,Zr,yn),yn.features.length?yn:null},pt.prototype.getClusterExpansionZoom=function(_t){for(var tr=this._getOriginZoom(_t)-1;tr<=this.options.maxZoom;){var ar=this.getChildren(_t);if(tr++,ar.length!==1)break;_t=ar[0].properties.cluster_id}return tr},pt.prototype._appendLeaves=function(_t,tr,ar,Er,Zr){for(var ri=this.getChildren(tr),$r=0,zi=ri;$r<zi.length;$r+=1){var Ji=zi[$r],en=Ji.properties;if(en&&en.cluster?Zr+en.point_count<=Er?Zr+=en.point_count:Zr=this._appendLeaves(_t,en.cluster_id,ar,Er,Zr):Zr<Er?Zr++:_t.push(Ji),_t.length===ar)break}return Zr},pt.prototype._addTileFeatures=function(_t,tr,ar,Er,Zr,ri){for(var $r=0,zi=_t;$r<zi.length;$r+=1){var Ji=zi[$r],en=tr[Ji],cn=en.numPoints,yn={type:1,geometry:[[Math.round(this.options.extent*(en.x*Zr-ar)),Math.round(this.options.extent*(en.y*Zr-Er))]],tags:cn?Gt(en):this.points[en.index].properties},Mn=void 0;cn?Mn=en.id:this.options.generateId?Mn=en.index:this.points[en.index].id&&(Mn=this.points[en.index].id),Mn!==void 0&&(yn.id=Mn),ri.features.push(yn)}},pt.prototype._limitZoom=function(_t){return Math.max(this.options.minZoom,Math.min(+_t,this.options.maxZoom+1))},pt.prototype._cluster=function(_t,tr){for(var ar=[],Er=this.options,Zr=Er.radius,ri=Er.extent,$r=Er.reduce,zi=Er.minPoints,Ji=Zr/(ri*Math.pow(2,tr)),en=0;en<_t.length;en++){var cn=_t[en];if(!(cn.zoom<=tr)){cn.zoom=tr;for(var yn=this.trees[tr+1],Mn=yn.within(cn.x,cn.y,Ji),Ba=cn.numPoints||1,la=Ba,ma=0,Wa=Mn;ma<Wa.length;ma+=1){var Fa=Wa[ma],Wo=yn.points[Fa];Wo.zoom>tr&&(la+=Wo.numPoints||1)}if(la>=zi){for(var da=cn.x*Ba,Wn=cn.y*Ba,Ga=$r&&Ba>1?this._map(cn,!0):null,vo=(en<<5)+(tr+1)+this.points.length,jn=0,St=Mn;jn<St.length;jn+=1){var Cr=St[jn],Qr=yn.points[Cr];if(!(Qr.zoom<=tr)){Qr.zoom=tr;var pi=Qr.numPoints||1;da+=Qr.x*pi,Wn+=Qr.y*pi,Qr.parentId=vo,$r&&(Ga||(Ga=this._map(cn,!0)),$r(Ga,this._map(Qr)))}}cn.parentId=vo,ar.push(Wt(da/la,Wn/la,vo,la,Ga))}else if(ar.push(cn),la>1)for(var fn=0,Sn=Mn;fn<Sn.length;fn+=1){var En=Sn[fn],ki=yn.points[En];ki.zoom<=tr||(ki.zoom=tr,ar.push(ki))}}}return ar},pt.prototype._getOriginId=function(_t){return _t-this.points.length>>5},pt.prototype._getOriginZoom=function(_t){return(_t-this.points.length)%32},pt.prototype._map=function(_t,tr){if(_t.numPoints)return tr?ur({},_t.properties):_t.properties;var ar=this.points[_t.index].properties,Er=this.options.map(ar);return tr&&Er===ar?ur({},Er):Er};function Wt(Vt,_t,tr,ar,Er){return{x:Vt,y:_t,zoom:1/0,id:tr,parentId:-1,numPoints:ar,properties:Er}}function st(Vt,_t){var tr=Vt.geometry.coordinates,ar=tr[0],Er=tr[1];return{x:Nt(ar),y:$t(Er),zoom:1/0,index:_t,parentId:-1}}function lt(Vt){return{type:\"Feature\",id:Vt.id,properties:Gt(Vt),geometry:{type:\"Point\",coordinates:[sr(Vt.x),wr(Vt.y)]}}}function Gt(Vt){var _t=Vt.numPoints,tr=_t>=1e4?Math.round(_t/1e3)+\"k\":_t>=1e3?Math.round(_t/100)/10+\"k\":_t;return ur(ur({},Vt.properties),{cluster:!0,cluster_id:Vt.id,point_count:_t,point_count_abbreviated:tr})}function Nt(Vt){return Vt/360+.5}function $t(Vt){var _t=Math.sin(Vt*Math.PI/180),tr=.5-.25*Math.log((1+_t)/(1-_t))/Math.PI;return tr<0?0:tr>1?1:tr}function sr(Vt){return(Vt-.5)*360}function wr(Vt){var _t=(180-Vt*360)*Math.PI/180;return 360*Math.atan(Math.exp(_t))/Math.PI-90}function ur(Vt,_t){for(var tr in _t)Vt[tr]=_t[tr];return Vt}function Qe(Vt){return Vt.x}function Et(Vt){return Vt.y}function er(Vt,_t,tr,ar){for(var Er=ar,Zr=tr-_t>>1,ri=tr-_t,$r,zi=Vt[_t],Ji=Vt[_t+1],en=Vt[tr],cn=Vt[tr+1],yn=_t+3;yn<tr;yn+=3){var Mn=Ut(Vt[yn],Vt[yn+1],zi,Ji,en,cn);if(Mn>Er)$r=yn,Er=Mn;else if(Mn===Er){var Ba=Math.abs(yn-Zr);Ba<ri&&($r=yn,ri=Ba)}}Er>ar&&($r-_t>3&&er(Vt,_t,$r,ar),Vt[$r+2]=Er,tr-$r>3&&er(Vt,$r,tr,ar))}function Ut(Vt,_t,tr,ar,Er,Zr){var ri=Er-tr,$r=Zr-ar;if(ri!==0||$r!==0){var zi=((Vt-tr)*ri+(_t-ar)*$r)/(ri*ri+$r*$r);zi>1?(tr=Er,ar=Zr):zi>0&&(tr+=ri*zi,ar+=$r*zi)}return ri=Vt-tr,$r=_t-ar,ri*ri+$r*$r}function Ft(Vt,_t,tr,ar){var Er={id:typeof Vt==\"undefined\"?null:Vt,type:_t,geometry:tr,tags:ar,minX:1/0,minY:1/0,maxX:-1/0,maxY:-1/0};return bt(Er),Er}function bt(Vt){var _t=Vt.geometry,tr=Vt.type;if(tr===\"Point\"||tr===\"MultiPoint\"||tr===\"LineString\")yt(Vt,_t);else if(tr===\"Polygon\"||tr===\"MultiLineString\")for(var ar=0;ar<_t.length;ar++)yt(Vt,_t[ar]);else if(tr===\"MultiPolygon\")for(ar=0;ar<_t.length;ar++)for(var Er=0;Er<_t[ar].length;Er++)yt(Vt,_t[ar][Er])}function yt(Vt,_t){for(var tr=0;tr<_t.length;tr+=3)Vt.minX=Math.min(Vt.minX,_t[tr]),Vt.minY=Math.min(Vt.minY,_t[tr+1]),Vt.maxX=Math.max(Vt.maxX,_t[tr]),Vt.maxY=Math.max(Vt.maxY,_t[tr+1])}function Yt(Vt,_t){var tr=[];if(Vt.type===\"FeatureCollection\")for(var ar=0;ar<Vt.features.length;ar++)lr(tr,Vt.features[ar],_t,ar);else Vt.type===\"Feature\"?lr(tr,Vt,_t):lr(tr,{geometry:Vt},_t);return tr}function lr(Vt,_t,tr,ar){if(_t.geometry){var Er=_t.geometry.coordinates,Zr=_t.geometry.type,ri=Math.pow(tr.tolerance/((1<<tr.maxZoom)*tr.extent),2),$r=[],zi=_t.id;if(tr.promoteId?zi=_t.properties[tr.promoteId]:tr.generateId&&(zi=ar||0),Zr===\"Point\")Tr(Er,$r);else if(Zr===\"MultiPoint\")for(var Ji=0;Ji<Er.length;Ji++)Tr(Er[Ji],$r);else if(Zr===\"LineString\")Rr(Er,$r,ri,!1);else if(Zr===\"MultiLineString\")if(tr.lineMetrics){for(Ji=0;Ji<Er.length;Ji++)$r=[],Rr(Er[Ji],$r,ri,!1),Vt.push(Ft(zi,\"LineString\",$r,_t.properties));return}else ei(Er,$r,ri,!1);else if(Zr===\"Polygon\")ei(Er,$r,ri,!0);else if(Zr===\"MultiPolygon\")for(Ji=0;Ji<Er.length;Ji++){var en=[];ei(Er[Ji],en,ri,!0),$r.push(en)}else if(Zr===\"GeometryCollection\"){for(Ji=0;Ji<_t.geometry.geometries.length;Ji++)lr(Vt,{id:zi,geometry:_t.geometry.geometries[Ji],properties:_t.properties},tr,ar);return}else throw new Error(\"Input data is not a valid GeoJSON object.\");Vt.push(Ft(zi,Zr,$r,_t.properties))}}function Tr(Vt,_t){_t.push(Wr(Vt[0])),_t.push(Ur(Vt[1])),_t.push(0)}function Rr(Vt,_t,tr,ar){for(var Er,Zr,ri=0,$r=0;$r<Vt.length;$r++){var zi=Wr(Vt[$r][0]),Ji=Ur(Vt[$r][1]);_t.push(zi),_t.push(Ji),_t.push(0),$r>0&&(ar?ri+=(Er*Ji-zi*Zr)/2:ri+=Math.sqrt(Math.pow(zi-Er,2)+Math.pow(Ji-Zr,2))),Er=zi,Zr=Ji}var en=_t.length-3;_t[2]=1,er(_t,0,en,tr),_t[en+2]=1,_t.size=Math.abs(ri),_t.start=0,_t.end=_t.size}function ei(Vt,_t,tr,ar){for(var Er=0;Er<Vt.length;Er++){var Zr=[];Rr(Vt[Er],Zr,tr,ar),_t.push(Zr)}}function Wr(Vt){return Vt/360+.5}function Ur(Vt){var _t=Math.sin(Vt*Math.PI/180),tr=.5-.25*Math.log((1+_t)/(1-_t))/Math.PI;return tr<0?0:tr>1?1:tr}function dt(Vt,_t,tr,ar,Er,Zr,ri,$r){if(tr/=_t,ar/=_t,Zr>=tr&&ri<ar)return Vt;if(ri<tr||Zr>=ar)return null;for(var zi=[],Ji=0;Ji<Vt.length;Ji++){var en=Vt[Ji],cn=en.geometry,yn=en.type,Mn=Er===0?en.minX:en.minY,Ba=Er===0?en.maxX:en.maxY;if(Mn>=tr&&Ba<ar){zi.push(en);continue}else if(Ba<tr||Mn>=ar)continue;var la=[];if(yn===\"Point\"||yn===\"MultiPoint\")Ge(cn,la,tr,ar,Er);else if(yn===\"LineString\")Je(cn,la,tr,ar,Er,!1,$r.lineMetrics);else if(yn===\"MultiLineString\")$e(cn,la,tr,ar,Er,!1);else if(yn===\"Polygon\")$e(cn,la,tr,ar,Er,!0);else if(yn===\"MultiPolygon\")for(var ma=0;ma<cn.length;ma++){var Wa=[];$e(cn[ma],Wa,tr,ar,Er,!0),Wa.length&&la.push(Wa)}if(la.length){if($r.lineMetrics&&yn===\"LineString\"){for(ma=0;ma<la.length;ma++)zi.push(Ft(en.id,yn,la[ma],en.tags));continue}(yn===\"LineString\"||yn===\"MultiLineString\")&&(la.length===1?(yn=\"LineString\",la=la[0]):yn=\"MultiLineString\"),(yn===\"Point\"||yn===\"MultiPoint\")&&(yn=la.length===3?\"Point\":\"MultiPoint\"),zi.push(Ft(en.id,yn,la,en.tags))}}return zi.length?zi:null}function Ge(Vt,_t,tr,ar,Er){for(var Zr=0;Zr<Vt.length;Zr+=3){var ri=Vt[Zr+Er];ri>=tr&&ri<=ar&&(_t.push(Vt[Zr]),_t.push(Vt[Zr+1]),_t.push(Vt[Zr+2]))}}function Je(Vt,_t,tr,ar,Er,Zr,ri){for(var $r=je(Vt),zi=Er===0?Ie:xe,Ji=Vt.start,en,cn,yn=0;yn<Vt.length-3;yn+=3){var Mn=Vt[yn],Ba=Vt[yn+1],la=Vt[yn+2],ma=Vt[yn+3],Wa=Vt[yn+4],Fa=Er===0?Mn:Ba,Wo=Er===0?ma:Wa,da=!1;ri&&(en=Math.sqrt(Math.pow(Mn-ma,2)+Math.pow(Ba-Wa,2))),Fa<tr?Wo>tr&&(cn=zi($r,Mn,Ba,ma,Wa,tr),ri&&($r.start=Ji+en*cn)):Fa>ar?Wo<ar&&(cn=zi($r,Mn,Ba,ma,Wa,ar),ri&&($r.start=Ji+en*cn)):wt($r,Mn,Ba,la),Wo<tr&&Fa>=tr&&(cn=zi($r,Mn,Ba,ma,Wa,tr),da=!0),Wo>ar&&Fa<=ar&&(cn=zi($r,Mn,Ba,ma,Wa,ar),da=!0),!Zr&&da&&(ri&&($r.end=Ji+en*cn),_t.push($r),$r=je(Vt)),ri&&(Ji+=en)}var Wn=Vt.length-3;Mn=Vt[Wn],Ba=Vt[Wn+1],la=Vt[Wn+2],Fa=Er===0?Mn:Ba,Fa>=tr&&Fa<=ar&&wt($r,Mn,Ba,la),Wn=$r.length-3,Zr&&Wn>=3&&($r[Wn]!==$r[0]||$r[Wn+1]!==$r[1])&&wt($r,$r[0],$r[1],$r[2]),$r.length&&_t.push($r)}function je(Vt){var _t=[];return _t.size=Vt.size,_t.start=Vt.start,_t.end=Vt.end,_t}function $e(Vt,_t,tr,ar,Er,Zr){for(var ri=0;ri<Vt.length;ri++)Je(Vt[ri],_t,tr,ar,Er,Zr,!1)}function wt(Vt,_t,tr,ar){Vt.push(_t),Vt.push(tr),Vt.push(ar)}function Ie(Vt,_t,tr,ar,Er,Zr){var ri=(Zr-_t)/(ar-_t);return Vt.push(Zr),Vt.push(tr+(Er-tr)*ri),Vt.push(1),ri}function xe(Vt,_t,tr,ar,Er,Zr){var ri=(Zr-tr)/(Er-tr);return Vt.push(_t+(ar-_t)*ri),Vt.push(Zr),Vt.push(1),ri}function Ce(Vt,_t){var tr=_t.buffer/_t.extent,ar=Vt,Er=dt(Vt,1,-1-tr,tr,0,-1,2,_t),Zr=dt(Vt,1,1-tr,2+tr,0,-1,2,_t);return(Er||Zr)&&(ar=dt(Vt,1,-tr,1+tr,0,-1,2,_t)||[],Er&&(ar=vt(Er,1).concat(ar)),Zr&&(ar=ar.concat(vt(Zr,-1)))),ar}function vt(Vt,_t){for(var tr=[],ar=0;ar<Vt.length;ar++){var Er=Vt[ar],Zr=Er.type,ri;if(Zr===\"Point\"||Zr===\"MultiPoint\"||Zr===\"LineString\")ri=nr(Er.geometry,_t);else if(Zr===\"MultiLineString\"||Zr===\"Polygon\"){ri=[];for(var $r=0;$r<Er.geometry.length;$r++)ri.push(nr(Er.geometry[$r],_t))}else if(Zr===\"MultiPolygon\")for(ri=[],$r=0;$r<Er.geometry.length;$r++){for(var zi=[],Ji=0;Ji<Er.geometry[$r].length;Ji++)zi.push(nr(Er.geometry[$r][Ji],_t));ri.push(zi)}tr.push(Ft(Er.id,Zr,ri,Er.tags))}return tr}function nr(Vt,_t){var tr=[];tr.size=Vt.size,Vt.start!==void 0&&(tr.start=Vt.start,tr.end=Vt.end);for(var ar=0;ar<Vt.length;ar+=3)tr.push(Vt[ar]+_t,Vt[ar+1],Vt[ar+2]);return tr}function ir(Vt,_t){if(Vt.transformed)return Vt;var tr=1<<Vt.z,ar=Vt.x,Er=Vt.y,Zr,ri,$r;for(Zr=0;Zr<Vt.features.length;Zr++){var zi=Vt.features[Zr],Ji=zi.geometry,en=zi.type;if(zi.geometry=[],en===1)for(ri=0;ri<Ji.length;ri+=2)zi.geometry.push(pr(Ji[ri],Ji[ri+1],_t,tr,ar,Er));else for(ri=0;ri<Ji.length;ri++){var cn=[];for($r=0;$r<Ji[ri].length;$r+=2)cn.push(pr(Ji[ri][$r],Ji[ri][$r+1],_t,tr,ar,Er));zi.geometry.push(cn)}}return Vt.transformed=!0,Vt}function pr(Vt,_t,tr,ar,Er,Zr){return[Math.round(tr*(Vt*ar-Er)),Math.round(tr*(_t*ar-Zr))]}function oi(Vt,_t,tr,ar,Er){for(var Zr=_t===Er.maxZoom?0:Er.tolerance/((1<<_t)*Er.extent),ri={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:tr,y:ar,z:_t,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},$r=0;$r<Vt.length;$r++){ri.numFeatures++,di(ri,Vt[$r],Zr,Er);var zi=Vt[$r].minX,Ji=Vt[$r].minY,en=Vt[$r].maxX,cn=Vt[$r].maxY;zi<ri.minX&&(ri.minX=zi),Ji<ri.minY&&(ri.minY=Ji),en>ri.maxX&&(ri.maxX=en),cn>ri.maxY&&(ri.maxY=cn)}return ri}function di(Vt,_t,tr,ar){var Er=_t.geometry,Zr=_t.type,ri=[];if(Zr===\"Point\"||Zr===\"MultiPoint\")for(var $r=0;$r<Er.length;$r+=3)ri.push(Er[$r]),ri.push(Er[$r+1]),Vt.numPoints++,Vt.numSimplified++;else if(Zr===\"LineString\")Jr(ri,Er,Vt,tr,!1,!1);else if(Zr===\"MultiLineString\"||Zr===\"Polygon\")for($r=0;$r<Er.length;$r++)Jr(ri,Er[$r],Vt,tr,Zr===\"Polygon\",$r===0);else if(Zr===\"MultiPolygon\")for(var zi=0;zi<Er.length;zi++){var Ji=Er[zi];for($r=0;$r<Ji.length;$r++)Jr(ri,Ji[$r],Vt,tr,!0,$r===0)}if(ri.length){var en=_t.tags||null;if(Zr===\"LineString\"&&ar.lineMetrics){en={};for(var cn in _t.tags)en[cn]=_t.tags[cn];en.mapbox_clip_start=Er.start/Er.size,en.mapbox_clip_end=Er.end/Er.size}var yn={geometry:ri,type:Zr===\"Polygon\"||Zr===\"MultiPolygon\"?3:Zr===\"LineString\"||Zr===\"MultiLineString\"?2:1,tags:en};_t.id!==null&&(yn.id=_t.id),Vt.features.push(yn)}}function Jr(Vt,_t,tr,ar,Er,Zr){var ri=ar*ar;if(ar>0&&_t.size<(Er?ri:ar)){tr.numPoints+=_t.length/3;return}for(var $r=[],zi=0;zi<_t.length;zi+=3)(ar===0||_t[zi+2]>ri)&&(tr.numSimplified++,$r.push(_t[zi]),$r.push(_t[zi+1])),tr.numPoints++;Er&&fi($r,Zr),Vt.push($r)}function fi(Vt,_t){for(var tr=0,ar=0,Er=Vt.length,Zr=Er-2;ar<Er;Zr=ar,ar+=2)tr+=(Vt[ar]-Vt[Zr])*(Vt[ar+1]+Vt[Zr+1]);if(tr>0===_t)for(ar=0,Er=Vt.length;ar<Er/2;ar+=2){var ri=Vt[ar],$r=Vt[ar+1];Vt[ar]=Vt[Er-2-ar],Vt[ar+1]=Vt[Er-1-ar],Vt[Er-2-ar]=ri,Vt[Er-1-ar]=$r}}function Hi(Vt,_t){return new Pn(Vt,_t)}function Pn(Vt,_t){_t=this.options=pn(Object.create(this.options),_t);var tr=_t.debug;if(tr&&console.time(\"preprocess data\"),_t.maxZoom<0||_t.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(_t.promoteId&&_t.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var ar=Yt(Vt,_t);this.tiles={},this.tileCoords=[],tr&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",_t.indexMaxZoom,_t.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),ar=Ce(ar,_t),ar.length&&this.splitTile(ar,0,0,0),tr&&(ar.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)))}Pn.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Pn.prototype.splitTile=function(Vt,_t,tr,ar,Er,Zr,ri){for(var $r=[Vt,_t,tr,ar],zi=this.options,Ji=zi.debug;$r.length;){ar=$r.pop(),tr=$r.pop(),_t=$r.pop(),Vt=$r.pop();var en=1<<_t,cn=wn(_t,tr,ar),yn=this.tiles[cn];if(!yn&&(Ji>1&&console.time(\"creation\"),yn=this.tiles[cn]=oi(Vt,_t,tr,ar,zi),this.tileCoords.push({z:_t,x:tr,y:ar}),Ji)){Ji>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",_t,tr,ar,yn.numFeatures,yn.numPoints,yn.numSimplified),console.timeEnd(\"creation\"));var Mn=\"z\"+_t;this.stats[Mn]=(this.stats[Mn]||0)+1,this.total++}if(yn.source=Vt,Er){if(_t===zi.maxZoom||_t===Er)continue;var Ba=1<<Er-_t;if(tr!==Math.floor(Zr/Ba)||ar!==Math.floor(ri/Ba))continue}else if(_t===zi.indexMaxZoom||yn.numPoints<=zi.indexMaxPoints)continue;if(yn.source=null,Vt.length!==0){Ji>1&&console.time(\"clipping\");var la=.5*zi.buffer/zi.extent,ma=.5-la,Wa=.5+la,Fa=1+la,Wo,da,Wn,Ga,vo,jn;Wo=da=Wn=Ga=null,vo=dt(Vt,en,tr-la,tr+Wa,0,yn.minX,yn.maxX,zi),jn=dt(Vt,en,tr+ma,tr+Fa,0,yn.minX,yn.maxX,zi),Vt=null,vo&&(Wo=dt(vo,en,ar-la,ar+Wa,1,yn.minY,yn.maxY,zi),da=dt(vo,en,ar+ma,ar+Fa,1,yn.minY,yn.maxY,zi),vo=null),jn&&(Wn=dt(jn,en,ar-la,ar+Wa,1,yn.minY,yn.maxY,zi),Ga=dt(jn,en,ar+ma,ar+Fa,1,yn.minY,yn.maxY,zi),jn=null),Ji>1&&console.timeEnd(\"clipping\"),$r.push(Wo||[],_t+1,tr*2,ar*2),$r.push(da||[],_t+1,tr*2,ar*2+1),$r.push(Wn||[],_t+1,tr*2+1,ar*2),$r.push(Ga||[],_t+1,tr*2+1,ar*2+1)}}},Pn.prototype.getTile=function(Vt,_t,tr){var ar=this.options,Er=ar.extent,Zr=ar.debug;if(Vt<0||Vt>24)return null;var ri=1<<Vt;_t=(_t%ri+ri)%ri;var $r=wn(Vt,_t,tr);if(this.tiles[$r])return ir(this.tiles[$r],Er);Zr>1&&console.log(\"drilling down to z%d-%d-%d\",Vt,_t,tr);for(var zi=Vt,Ji=_t,en=tr,cn;!cn&&zi>0;)zi--,Ji=Math.floor(Ji/2),en=Math.floor(en/2),cn=this.tiles[wn(zi,Ji,en)];return!cn||!cn.source?null:(Zr>1&&console.log(\"found parent tile z%d-%d-%d\",zi,Ji,en),Zr>1&&console.time(\"drilling down\"),this.splitTile(cn.source,zi,Ji,en,Vt,_t,tr),Zr>1&&console.timeEnd(\"drilling down\"),this.tiles[$r]?ir(this.tiles[$r],Er):null)};function wn(Vt,_t,tr){return((1<<Vt)*tr+_t)*32+Vt}function pn(Vt,_t){for(var tr in _t)Vt[tr]=_t[tr];return Vt}function Vn(Vt,_t){var tr=Vt.tileID.canonical;if(!this._geoJSONIndex)return _t(null,null);var ar=this._geoJSONIndex.getTile(tr.z,tr.x,tr.y);if(!ar)return _t(null,null);var Er=new k(ar.features),Zr=z(Er);(Zr.byteOffset!==0||Zr.byteLength!==Zr.buffer.byteLength)&&(Zr=new Uint8Array(Zr)),_t(null,{vectorTile:Er,rawData:Zr.buffer})}var kn=function(Vt){function _t(tr,ar,Er,Zr){Vt.call(this,tr,ar,Er,Vn),Zr&&(this.loadGeoJSON=Zr)}return Vt&&(_t.__proto__=Vt),_t.prototype=Object.create(Vt&&Vt.prototype),_t.prototype.constructor=_t,_t.prototype.loadData=function(ar,Er){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=Er,this._pendingLoadDataParams=ar,this._state&&this._state!==\"Idle\"?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},_t.prototype._loadData=function(){var ar=this;if(!(!this._pendingCallback||!this._pendingLoadDataParams)){var Er=this._pendingCallback,Zr=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var ri=Zr&&Zr.request&&Zr.request.collectResourceTiming?new i.RequestPerformance(Zr.request):!1;this.loadGeoJSON(Zr,function($r,zi){if($r||!zi)return Er($r);if(typeof zi!=\"object\")return Er(new Error(\"Input data given to '\"+Zr.source+\"' is not a valid GeoJSON object.\"));p(zi,!0);try{if(Zr.filter){var Ji=i.createExpression(Zr.filter,{type:\"boolean\",\"property-type\":\"data-driven\",overridable:!1,transition:!1});if(Ji.result===\"error\")throw new Error(Ji.value.map(function(Mn){return Mn.key+\": \"+Mn.message}).join(\", \"));var en=zi.features.filter(function(Mn){return Ji.value.evaluate({zoom:0},Mn)});zi={type:\"FeatureCollection\",features:en}}ar._geoJSONIndex=Zr.cluster?new pt(ea(Zr)).load(zi.features):Hi(zi,Zr.geojsonVtOptions)}catch(Mn){return Er(Mn)}ar.loaded={};var cn={};if(ri){var yn=ri.finish();yn&&(cn.resourceTiming={},cn.resourceTiming[Zr.source]=JSON.parse(JSON.stringify(yn)))}Er(null,cn)})}},_t.prototype.coalesce=function(){this._state===\"Coalescing\"?this._state=\"Idle\":this._state===\"NeedsLoadData\"&&(this._state=\"Coalescing\",this._loadData())},_t.prototype.reloadTile=function(ar,Er){var Zr=this.loaded,ri=ar.uid;return Zr&&Zr[ri]?Vt.prototype.reloadTile.call(this,ar,Er):this.loadTile(ar,Er)},_t.prototype.loadGeoJSON=function(ar,Er){if(ar.request)i.getJSON(ar.request,Er);else if(typeof ar.data==\"string\")try{return Er(null,JSON.parse(ar.data))}catch(Zr){return Er(new Error(\"Input data given to '\"+ar.source+\"' is not a valid GeoJSON object.\"))}else return Er(new Error(\"Input data given to '\"+ar.source+\"' is not a valid GeoJSON object.\"))},_t.prototype.removeSource=function(ar,Er){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),Er()},_t.prototype.getClusterExpansionZoom=function(ar,Er){try{Er(null,this._geoJSONIndex.getClusterExpansionZoom(ar.clusterId))}catch(Zr){Er(Zr)}},_t.prototype.getClusterChildren=function(ar,Er){try{Er(null,this._geoJSONIndex.getChildren(ar.clusterId))}catch(Zr){Er(Zr)}},_t.prototype.getClusterLeaves=function(ar,Er){try{Er(null,this._geoJSONIndex.getLeaves(ar.clusterId,ar.limit,ar.offset))}catch(Zr){Er(Zr)}},_t}(v);function ea(Vt){var 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Er=this.workerSources[_t][tr.type][tr.source];delete this.workerSources[_t][tr.type][tr.source],Er.removeSource!==void 0?Er.removeSource(tr,ar):ar()}},ua.prototype.loadWorkerSource=function(_t,tr,ar){try{this.self.importScripts(tr.url),ar()}catch(Er){ar(Er.toString())}},ua.prototype.syncRTLPluginState=function(_t,tr,ar){try{i.plugin.setState(tr);var Er=i.plugin.getPluginURL();if(i.plugin.isLoaded()&&!i.plugin.isParsed()&&Er!=null){this.self.importScripts(Er);var Zr=i.plugin.isParsed(),ri=Zr?void 0:new Error(\"RTL Text Plugin failed to import scripts from \"+Er);ar(ri,Zr)}}catch($r){ar($r.toString())}},ua.prototype.getAvailableImages=function(_t){var tr=this.availableImages[_t];return tr||(tr=[]),tr},ua.prototype.getLayerIndex=function(_t){var tr=this.layerIndexes[_t];return tr||(tr=this.layerIndexes[_t]=new l),tr},ua.prototype.getWorkerSource=function(_t,tr,ar){var Er=this;if(this.workerSources[_t]||(this.workerSources[_t]={}),this.workerSources[_t][tr]||(this.workerSources[_t][tr]={}),!this.workerSources[_t][tr][ar]){var Zr={send:function(ri,$r,zi){Er.actor.send(ri,$r,zi,_t)}};this.workerSources[_t][tr][ar]=new this.workerSourceTypes[tr](Zr,this.getLayerIndex(_t),this.getAvailableImages(_t))}return this.workerSources[_t][tr][ar]},ua.prototype.getDEMWorkerSource=function(_t,tr){return this.demWorkerSources[_t]||(this.demWorkerSources[_t]={}),this.demWorkerSources[_t][tr]||(this.demWorkerSources[_t][tr]=new b),this.demWorkerSources[_t][tr]},ua.prototype.enforceCacheSizeLimit=function(_t,tr){i.enforceCacheSizeLimit(tr)},typeof WorkerGlobalScope!=\"undefined\"&&typeof self!=\"undefined\"&&self instanceof WorkerGlobalScope&&(self.worker=new ua(self)),ua}),n([\"./shared\"],function(i){\"use strict\";var 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ne=de[K],we=ne.ids,Ue=ne.callback;this._notify(we,Ue)}this.requestors=[]}},D.prototype.getImage=function(q){return this.images[q]},D.prototype.addImage=function(q,K){this._validate(q,K)&&(this.images[q]=K)},D.prototype._validate=function(q,K){var de=!0;return this._validateStretch(K.stretchX,K.data&&K.data.width)||(this.fire(new i.ErrorEvent(new Error('Image \"'+q+'\" has invalid \"stretchX\" value'))),de=!1),this._validateStretch(K.stretchY,K.data&&K.data.height)||(this.fire(new i.ErrorEvent(new Error('Image \"'+q+'\" has invalid \"stretchY\" value'))),de=!1),this._validateContent(K.content,K)||(this.fire(new i.ErrorEvent(new Error('Image \"'+q+'\" has invalid \"content\" value'))),de=!1),de},D.prototype._validateStretch=function(q,K){if(!q)return!0;for(var de=0,ne=0,we=q;ne<we.length;ne+=1){var Ue=we[ne];if(Ue[0]<de||Ue[1]<Ue[0]||K<Ue[1])return!1;de=Ue[1]}return!0},D.prototype._validateContent=function(q,K){return q?!(q.length!==4||q[0]<0||K.data.width<q[0]||q[1]<0||K.data.height<q[1]||q[2]<0||K.data.width<q[2]||q[3]<0||K.data.height<q[3]||q[2]<q[0]||q[3]<q[1]):!0},D.prototype.updateImage=function(q,K){var de=this.images[q];K.version=de.version+1,this.images[q]=K,this.updatedImages[q]=!0},D.prototype.removeImage=function(q){var K=this.images[q];delete this.images[q],delete this.patterns[q],K.userImage&&K.userImage.onRemove&&K.userImage.onRemove()},D.prototype.listImages=function(){return Object.keys(this.images)},D.prototype.getImages=function(q,K){var de=!0;if(!this.isLoaded())for(var ne=0,we=q;ne<we.length;ne+=1){var Ue=we[ne];this.images[Ue]||(de=!1)}this.isLoaded()||de?this._notify(q,K):this.requestors.push({ids:q,callback:K})},D.prototype._notify=function(q,K){for(var de={},ne=0,we=q;ne<we.length;ne+=1){var Ue=we[ne];this.images[Ue]||this.fire(new i.Event(\"styleimagemissing\",{id:Ue}));var ft=this.images[Ue];ft?de[Ue]={data:ft.data.clone(),pixelRatio:ft.pixelRatio,sdf:ft.sdf,version:ft.version,stretchX:ft.stretchX,stretchY:ft.stretchY,content:ft.content,hasRenderCallback:!!(ft.userImage&&ft.userImage.render)}:i.warnOnce('Image \"'+Ue+'\" could not be loaded. 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de=i.potpack(q),ne=de.w,we=de.h,Ue=this.atlasImage;Ue.resize({width:ne||1,height:we||1});for(var ft in this.patterns){var Zt=this.patterns[ft],hr=Zt.bin,qt=hr.x+p,Ve=hr.y+p,et=this.images[ft].data,at=et.width,kt=et.height;i.RGBAImage.copy(et,Ue,{x:0,y:0},{x:qt,y:Ve},{width:at,height:kt}),i.RGBAImage.copy(et,Ue,{x:0,y:kt-1},{x:qt,y:Ve-1},{width:at,height:1}),i.RGBAImage.copy(et,Ue,{x:0,y:0},{x:qt,y:Ve+kt},{width:at,height:1}),i.RGBAImage.copy(et,Ue,{x:at-1,y:0},{x:qt-1,y:Ve},{width:1,height:kt}),i.RGBAImage.copy(et,Ue,{x:0,y:0},{x:qt+at,y:Ve},{width:1,height:kt})}this.dirty=!0},D.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},D.prototype.dispatchRenderCallbacks=function(q){for(var K=0,de=q;K<de.length;K+=1){var ne=de[K];if(!this.callbackDispatchedThisFrame[ne]){this.callbackDispatchedThisFrame[ne]=!0;var we=this.images[ne],Ue=b(we);Ue&&this.updateImage(ne,we)}}},D}(i.Evented);function E(Y,D,J,q,K){var 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Int16Array(ne),this.middle=Math.round(ne/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}k.prototype.draw=function(Y){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(Y,this.buffer,this.middle);for(var D=this.ctx.getImageData(0,0,this.size,this.size),J=new Uint8ClampedArray(this.size*this.size),q=0;q<this.size*this.size;q++){var K=D.data[q*4+3]/255;this.gridOuter[q]=K===1?0:K===0?_:Math.pow(Math.max(0,.5-K),2),this.gridInner[q]=K===1?_:K===0?0:Math.pow(Math.max(0,K-.5),2)}for(M(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),M(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),q=0;q<this.size*this.size;q++){var de=this.gridOuter[q]-this.gridInner[q];J[q]=Math.max(0,Math.min(255,Math.round(255-255*(de/this.radius+this.cutoff))))}return J};function M(Y,D,J,q,K,de,ne){for(var we=0;we<D;we++){for(var Ue=0;Ue<J;Ue++)q[Ue]=Y[Ue*D+we];for(g(q,K,de,ne,J),Ue=0;Ue<J;Ue++)Y[Ue*D+we]=K[Ue]}for(Ue=0;Ue<J;Ue++){for(we=0;we<D;we++)q[we]=Y[Ue*D+we];for(g(q,K,de,ne,D),we=0;we<D;we++)Y[Ue*D+we]=Math.sqrt(K[we])}}function g(Y,D,J,q,K){J[0]=0,q[0]=-_,q[1]=+_;for(var de=1,ne=0;de<K;de++){for(var we=(Y[de]+de*de-(Y[J[ne]]+J[ne]*J[ne]))/(2*de-2*J[ne]);we<=q[ne];)ne--,we=(Y[de]+de*de-(Y[J[ne]]+J[ne]*J[ne]))/(2*de-2*J[ne]);ne++,J[ne]=de,q[ne]=we,q[ne+1]=+_}for(de=0,ne=0;de<K;de++){for(;q[ne+1]<de;)ne++;D[de]=(de-J[ne])*(de-J[ne])+Y[J[ne]]}}A.default=L;var P=function(D,J){this.requestManager=D,this.localIdeographFontFamily=J,this.entries={}};P.prototype.setURL=function(D){this.url=D},P.prototype.getGlyphs=function(D,J){var q=this,K=[];for(var de in D)for(var ne=0,we=D[de];ne<we.length;ne+=1){var Ue=we[ne];K.push({stack:de,id:Ue})}i.asyncAll(K,function(ft,Zt){var hr=ft.stack,qt=ft.id,Ve=q.entries[hr];Ve||(Ve=q.entries[hr]={glyphs:{},requests:{},ranges:{}});var et=Ve.glyphs[qt];if(et!==void 0){Zt(null,{stack:hr,id:qt,glyph:et});return}if(et=q._tinySDF(Ve,hr,qt),et){Ve.glyphs[qt]=et,Zt(null,{stack:hr,id:qt,glyph:et});return}var at=Math.floor(qt/256);if(at*256>65535){Zt(new Error(\"glyphs > 65535 not supported\"));return}if(Ve.ranges[at]){Zt(null,{stack:hr,id:qt,glyph:et});return}var kt=Ve.requests[at];kt||(kt=Ve.requests[at]=[],P.loadGlyphRange(hr,at,q.url,q.requestManager,function(Ot,It){if(It){for(var Bt in It)q._doesCharSupportLocalGlyph(+Bt)||(Ve.glyphs[+Bt]=It[+Bt]);Ve.ranges[at]=!0}for(var Rt=0,mt=kt;Rt<mt.length;Rt+=1){var Pt=mt[Rt];Pt(Ot,It)}delete Ve.requests[at]})),kt.push(function(Ot,It){Ot?Zt(Ot):It&&Zt(null,{stack:hr,id:qt,glyph:It[qt]||null})})},function(ft,Zt){if(ft)J(ft);else if(Zt){for(var hr={},qt=0,Ve=Zt;qt<Ve.length;qt+=1){var et=Ve[qt],at=et.stack,kt=et.id,Ot=et.glyph;(hr[at]||(hr[at]={}))[kt]=Ot&&{id:Ot.id,bitmap:Ot.bitmap.clone(),metrics:Ot.metrics}}J(null,hr)}})},P.prototype._doesCharSupportLocalGlyph=function(D){return!!this.localIdeographFontFamily&&(i.isChar[\"CJK Unified Ideographs\"](D)||i.isChar[\"Hangul Syllables\"](D)||i.isChar.Hiragana(D)||i.isChar.Katakana(D))},P.prototype._tinySDF=function(D,J,q){var K=this.localIdeographFontFamily;if(K&&this._doesCharSupportLocalGlyph(q)){var de=D.tinySDF;if(!de){var ne=\"400\";/bold/i.test(J)?ne=\"900\":/medium/i.test(J)?ne=\"500\":/light/i.test(J)&&(ne=\"200\"),de=D.tinySDF=new P.TinySDF(24,3,8,.25,K,ne)}return{id:q,bitmap:new i.AlphaImage({width:30,height:30},de.draw(String.fromCharCode(q))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},P.loadGlyphRange=E,P.TinySDF=A;var T=function(){this.specification=i.styleSpec.light.position};T.prototype.possiblyEvaluate=function(D,J){return i.sphericalToCartesian(D.expression.evaluate(J))},T.prototype.interpolate=function(D,J,q){return{x:i.number(D.x,J.x,q),y:i.number(D.y,J.y,q),z:i.number(D.z,J.z,q)}};var z=new i.Properties({anchor:new i.DataConstantProperty(i.styleSpec.light.anchor),position:new T,color:new i.DataConstantProperty(i.styleSpec.light.color),intensity:new i.DataConstantProperty(i.styleSpec.light.intensity)}),O=\"-transition\",V=function(Y){function D(J){Y.call(this),this._transitionable=new i.Transitionable(z),this.setLight(J),this._transitioning=this._transitionable.untransitioned()}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.getLight=function(){return this._transitionable.serialize()},D.prototype.setLight=function(q,K){if(K===void 0&&(K={}),!this._validate(i.validateLight,q,K))for(var de in q){var ne=q[de];i.endsWith(de,O)?this._transitionable.setTransition(de.slice(0,-O.length),ne):this._transitionable.setValue(de,ne)}},D.prototype.updateTransitions=function(q){this._transitioning=this._transitionable.transitioned(q,this._transitioning)},D.prototype.hasTransition=function(){return this._transitioning.hasTransition()},D.prototype.recalculate=function(q){this.properties=this._transitioning.possiblyEvaluate(q)},D.prototype._validate=function(q,K,de){return de&&de.validate===!1?!1:i.emitValidationErrors(this,q.call(i.validateStyle,i.extend({value:K,style:{glyphs:!0,sprite:!0},styleSpec:i.styleSpec})))},D}(i.Evented),G=function(D,J){this.width=D,this.height=J,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};G.prototype.getDash=function(D,J){var q=D.join(\",\")+String(J);return this.dashEntry[q]||(this.dashEntry[q]=this.addDash(D,J)),this.dashEntry[q]},G.prototype.getDashRanges=function(D,J,q){var K=D.length%2===1,de=[],ne=K?-D[D.length-1]*q:0,we=D[0]*q,Ue=!0;de.push({left:ne,right:we,isDash:Ue,zeroLength:D[0]===0});for(var ft=D[0],Zt=1;Zt<D.length;Zt++){Ue=!Ue;var hr=D[Zt];ne=ft*q,ft+=hr,we=ft*q,de.push({left:ne,right:we,isDash:Ue,zeroLength:hr===0})}return de},G.prototype.addRoundDash=function(D,J,q){for(var K=J/2,de=-q;de<=q;de++)for(var ne=this.nextRow+q+de,we=this.width*ne,Ue=0,ft=D[Ue],Zt=0;Zt<this.width;Zt++){Zt/ft.right>1&&(ft=D[++Ue]);var hr=Math.abs(Zt-ft.left),qt=Math.abs(Zt-ft.right),Ve=Math.min(hr,qt),et=void 0,at=de/q*(K+1);if(ft.isDash){var kt=K-Math.abs(at);et=Math.sqrt(Ve*Ve+kt*kt)}else et=K-Math.sqrt(Ve*Ve+at*at);this.data[we+Zt]=Math.max(0,Math.min(255,et+128))}},G.prototype.addRegularDash=function(D){for(var J=D.length-1;J>=0;--J){var q=D[J],K=D[J+1];q.zeroLength?D.splice(J,1):K&&K.isDash===q.isDash&&(K.left=q.left,D.splice(J,1))}var de=D[0],ne=D[D.length-1];de.isDash===ne.isDash&&(de.left=ne.left-this.width,ne.right=de.right+this.width);for(var we=this.width*this.nextRow,Ue=0,ft=D[Ue],Zt=0;Zt<this.width;Zt++){Zt/ft.right>1&&(ft=D[++Ue]);var hr=Math.abs(Zt-ft.left),qt=Math.abs(Zt-ft.right),Ve=Math.min(hr,qt),et=ft.isDash?Ve:-Ve;this.data[we+Zt]=Math.max(0,Math.min(255,et+128))}},G.prototype.addDash=function(D,J){var q=J?7:0,K=2*q+1;if(this.nextRow+K>this.height)return i.warnOnce(\"LineAtlas out of space\"),null;for(var de=0,ne=0;ne<D.length;ne++)de+=D[ne];if(de!==0){var we=this.width/de,Ue=this.getDashRanges(D,this.width,we);J?this.addRoundDash(Ue,we,q):this.addRegularDash(Ue)}var ft={y:(this.nextRow+q+.5)/this.height,height:2*q/this.height,width:de};return this.nextRow+=K,this.dirty=!0,ft},G.prototype.bind=function(D){var J=D.gl;this.texture?(J.bindTexture(J.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,J.texSubImage2D(J.TEXTURE_2D,0,0,0,this.width,this.height,J.ALPHA,J.UNSIGNED_BYTE,this.data))):(this.texture=J.createTexture(),J.bindTexture(J.TEXTURE_2D,this.texture),J.texParameteri(J.TEXTURE_2D,J.TEXTURE_WRAP_S,J.REPEAT),J.texParameteri(J.TEXTURE_2D,J.TEXTURE_WRAP_T,J.REPEAT),J.texParameteri(J.TEXTURE_2D,J.TEXTURE_MIN_FILTER,J.LINEAR),J.texParameteri(J.TEXTURE_2D,J.TEXTURE_MAG_FILTER,J.LINEAR),J.texImage2D(J.TEXTURE_2D,0,J.ALPHA,this.width,this.height,0,J.ALPHA,J.UNSIGNED_BYTE,this.data))};var Z=function Y(D,J){this.workerPool=D,this.actors=[],this.currentActor=0,this.id=i.uniqueId();for(var q=this.workerPool.acquire(this.id),K=0;K<q.length;K++){var de=q[K],ne=new Y.Actor(de,J,this.id);ne.name=\"Worker \"+K,this.actors.push(ne)}};Z.prototype.broadcast=function(D,J,q){q=q||function(){},i.asyncAll(this.actors,function(K,de){K.send(D,J,de)},q)},Z.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},Z.prototype.remove=function(){this.actors.forEach(function(D){D.remove()}),this.actors=[],this.workerPool.release(this.id)},Z.Actor=i.Actor;function H(Y,D,J){var q=function(K,de){if(K)return J(K);if(de){var ne=i.pick(i.extend(de,Y),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);de.vector_layers&&(ne.vectorLayers=de.vector_layers,ne.vectorLayerIds=ne.vectorLayers.map(function(we){return we.id})),ne.tiles=D.canonicalizeTileset(ne,Y.url),J(null,ne)}};return Y.url?i.getJSON(D.transformRequest(D.normalizeSourceURL(Y.url),i.ResourceType.Source),q):i.browser.frame(function(){return q(null,Y)})}var N=function(D,J,q){this.bounds=i.LngLatBounds.convert(this.validateBounds(D)),this.minzoom=J||0,this.maxzoom=q||24};N.prototype.validateBounds=function(D){return!Array.isArray(D)||D.length!==4?[-180,-90,180,90]:[Math.max(-180,D[0]),Math.max(-90,D[1]),Math.min(180,D[2]),Math.min(90,D[3])]},N.prototype.contains=function(D){var J=Math.pow(2,D.z),q={minX:Math.floor(i.mercatorXfromLng(this.bounds.getWest())*J),minY:Math.floor(i.mercatorYfromLat(this.bounds.getNorth())*J),maxX:Math.ceil(i.mercatorXfromLng(this.bounds.getEast())*J),maxY:Math.ceil(i.mercatorYfromLat(this.bounds.getSouth())*J)},K=D.x>=q.minX&&D.x<q.maxX&&D.y>=q.minY&&D.y<q.maxY;return K};var j=function(Y){function D(J,q,K,de){if(Y.call(this),this.id=J,this.dispatcher=K,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,i.extend(this,i.pick(q,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=i.extend({type:\"vector\"},q),this._collectResourceTiming=q.collectResourceTiming,this.tileSize!==512)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(de)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.load=function(){var q=this;this._loaded=!1,this.fire(new i.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=H(this._options,this.map._requestManager,function(K,de){q._tileJSONRequest=null,q._loaded=!0,K?q.fire(new i.ErrorEvent(K)):de&&(i.extend(q,de),de.bounds&&(q.tileBounds=new N(de.bounds,q.minzoom,q.maxzoom)),i.postTurnstileEvent(de.tiles,q.map._requestManager._customAccessToken),i.postMapLoadEvent(de.tiles,q.map._getMapId(),q.map._requestManager._skuToken,q.map._requestManager._customAccessToken),q.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),q.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))})},D.prototype.loaded=function(){return this._loaded},D.prototype.hasTile=function(q){return!this.tileBounds||this.tileBounds.contains(q.canonical)},D.prototype.onAdd=function(q){this.map=q,this.load()},D.prototype.setSourceProperty=function(q){this._tileJSONRequest&&this._tileJSONRequest.cancel(),q();var K=this.map.style.sourceCaches[this.id];K.clearTiles(),this.load()},D.prototype.setTiles=function(q){var K=this;return this.setSourceProperty(function(){K._options.tiles=q}),this},D.prototype.setUrl=function(q){var K=this;return this.setSourceProperty(function(){K.url=q,K._options.url=q}),this},D.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},D.prototype.serialize=function(){return i.extend({},this._options)},D.prototype.loadTile=function(q,K){var de=this.map._requestManager.normalizeTileURL(q.tileID.canonical.url(this.tiles,this.scheme)),ne={request:this.map._requestManager.transformRequest(de,i.ResourceType.Tile),uid:q.uid,tileID:q.tileID,zoom:q.tileID.overscaledZ,tileSize:this.tileSize*q.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:i.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};ne.request.collectResourceTiming=this._collectResourceTiming,!q.actor||q.state===\"expired\"?(q.actor=this.dispatcher.getActor(),q.request=q.actor.send(\"loadTile\",ne,we.bind(this))):q.state===\"loading\"?q.reloadCallback=K:q.request=q.actor.send(\"reloadTile\",ne,we.bind(this));function we(Ue,ft){if(delete q.request,q.aborted)return K(null);if(Ue&&Ue.status!==404)return K(Ue);ft&&ft.resourceTiming&&(q.resourceTiming=ft.resourceTiming),this.map._refreshExpiredTiles&&ft&&q.setExpiryData(ft),q.loadVectorData(ft,this.map.painter),i.cacheEntryPossiblyAdded(this.dispatcher),K(null),q.reloadCallback&&(this.loadTile(q,q.reloadCallback),q.reloadCallback=null)}},D.prototype.abortTile=function(q){q.request&&(q.request.cancel(),delete q.request),q.actor&&q.actor.send(\"abortTile\",{uid:q.uid,type:this.type,source:this.id},void 0)},D.prototype.unloadTile=function(q){q.unloadVectorData(),q.actor&&q.actor.send(\"removeTile\",{uid:q.uid,type:this.type,source:this.id},void 0)},D.prototype.hasTransition=function(){return!1},D}(i.Evented),re=function(Y){function D(J,q,K,de){Y.call(this),this.id=J,this.dispatcher=K,this.setEventedParent(de),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=i.extend({type:\"raster\"},q),i.extend(this,i.pick(q,[\"url\",\"scheme\",\"tileSize\"]))}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.load=function(){var q=this;this._loaded=!1,this.fire(new i.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=H(this._options,this.map._requestManager,function(K,de){q._tileJSONRequest=null,q._loaded=!0,K?q.fire(new i.ErrorEvent(K)):de&&(i.extend(q,de),de.bounds&&(q.tileBounds=new N(de.bounds,q.minzoom,q.maxzoom)),i.postTurnstileEvent(de.tiles),i.postMapLoadEvent(de.tiles,q.map._getMapId(),q.map._requestManager._skuToken),q.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),q.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))})},D.prototype.loaded=function(){return this._loaded},D.prototype.onAdd=function(q){this.map=q,this.load()},D.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},D.prototype.serialize=function(){return i.extend({},this._options)},D.prototype.hasTile=function(q){return!this.tileBounds||this.tileBounds.contains(q.canonical)},D.prototype.loadTile=function(q,K){var de=this,ne=this.map._requestManager.normalizeTileURL(q.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);q.request=i.getImage(this.map._requestManager.transformRequest(ne,i.ResourceType.Tile),function(we,Ue){if(delete q.request,q.aborted)q.state=\"unloaded\",K(null);else if(we)q.state=\"errored\",K(we);else if(Ue){de.map._refreshExpiredTiles&&q.setExpiryData(Ue),delete Ue.cacheControl,delete Ue.expires;var ft=de.map.painter.context,Zt=ft.gl;q.texture=de.map.painter.getTileTexture(Ue.width),q.texture?q.texture.update(Ue,{useMipmap:!0}):(q.texture=new i.Texture(ft,Ue,Zt.RGBA,{useMipmap:!0}),q.texture.bind(Zt.LINEAR,Zt.CLAMP_TO_EDGE,Zt.LINEAR_MIPMAP_NEAREST),ft.extTextureFilterAnisotropic&&Zt.texParameterf(Zt.TEXTURE_2D,ft.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,ft.extTextureFilterAnisotropicMax)),q.state=\"loaded\",i.cacheEntryPossiblyAdded(de.dispatcher),K(null)}})},D.prototype.abortTile=function(q,K){q.request&&(q.request.cancel(),delete q.request),K()},D.prototype.unloadTile=function(q,K){q.texture&&this.map.painter.saveTileTexture(q.texture),K()},D.prototype.hasTransition=function(){return!1},D}(i.Evented),oe=function(Y){function D(J,q,K,de){Y.call(this,J,q,K,de),this.type=\"raster-dem\",this.maxzoom=22,this._options=i.extend({type:\"raster-dem\"},q),this.encoding=q.encoding||\"mapbox\"}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},D.prototype.loadTile=function(q,K){var de=this.map._requestManager.normalizeTileURL(q.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);q.request=i.getImage(this.map._requestManager.transformRequest(de,i.ResourceType.Tile),ne.bind(this)),q.neighboringTiles=this._getNeighboringTiles(q.tileID);function ne(Ue,ft){if(delete q.request,q.aborted)q.state=\"unloaded\",K(null);else if(Ue)q.state=\"errored\",K(Ue);else if(ft){this.map._refreshExpiredTiles&&q.setExpiryData(ft),delete ft.cacheControl,delete ft.expires;var Zt=i.window.ImageBitmap&&ft instanceof i.window.ImageBitmap&&i.offscreenCanvasSupported(),hr=Zt?ft:i.browser.getImageData(ft,1),qt={uid:q.uid,coord:q.tileID,source:this.id,rawImageData:hr,encoding:this.encoding};(!q.actor||q.state===\"expired\")&&(q.actor=this.dispatcher.getActor(),q.actor.send(\"loadDEMTile\",qt,we.bind(this)))}}function we(Ue,ft){Ue&&(q.state=\"errored\",K(Ue)),ft&&(q.dem=ft,q.needsHillshadePrepare=!0,q.state=\"loaded\",K(null))}},D.prototype._getNeighboringTiles=function(q){var K=q.canonical,de=Math.pow(2,K.z),ne=(K.x-1+de)%de,we=K.x===0?q.wrap-1:q.wrap,Ue=(K.x+1+de)%de,ft=K.x+1===de?q.wrap+1:q.wrap,Zt={};return Zt[new i.OverscaledTileID(q.overscaledZ,we,K.z,ne,K.y).key]={backfilled:!1},Zt[new i.OverscaledTileID(q.overscaledZ,ft,K.z,Ue,K.y).key]={backfilled:!1},K.y>0&&(Zt[new i.OverscaledTileID(q.overscaledZ,we,K.z,ne,K.y-1).key]={backfilled:!1},Zt[new i.OverscaledTileID(q.overscaledZ,q.wrap,K.z,K.x,K.y-1).key]={backfilled:!1},Zt[new i.OverscaledTileID(q.overscaledZ,ft,K.z,Ue,K.y-1).key]={backfilled:!1}),K.y+1<de&&(Zt[new i.OverscaledTileID(q.overscaledZ,we,K.z,ne,K.y+1).key]={backfilled:!1},Zt[new i.OverscaledTileID(q.overscaledZ,q.wrap,K.z,K.x,K.y+1).key]={backfilled:!1},Zt[new i.OverscaledTileID(q.overscaledZ,ft,K.z,Ue,K.y+1).key]={backfilled:!1}),Zt},D.prototype.unloadTile=function(q){q.demTexture&&this.map.painter.saveTileTexture(q.demTexture),q.fbo&&(q.fbo.destroy(),delete q.fbo),q.dem&&delete q.dem,delete q.neighboringTiles,q.state=\"unloaded\",q.actor&&q.actor.send(\"removeDEMTile\",{uid:q.uid,source:this.id})},D}(re),_e=function(Y){function D(J,q,K,de){Y.call(this),this.id=J,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=K.getActor(),this.setEventedParent(de),this._data=q.data,this._options=i.extend({},q),this._collectResourceTiming=q.collectResourceTiming,this._resourceTiming=[],q.maxzoom!==void 0&&(this.maxzoom=q.maxzoom),q.type&&(this.type=q.type),q.attribution&&(this.attribution=q.attribution),this.promoteId=q.promoteId;var ne=i.EXTENT/this.tileSize;this.workerOptions=i.extend({source:this.id,cluster:q.cluster||!1,geojsonVtOptions:{buffer:(q.buffer!==void 0?q.buffer:128)*ne,tolerance:(q.tolerance!==void 0?q.tolerance:.375)*ne,extent:i.EXTENT,maxZoom:this.maxzoom,lineMetrics:q.lineMetrics||!1,generateId:q.generateId||!1},superclusterOptions:{maxZoom:q.clusterMaxZoom!==void 0?Math.min(q.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,minPoints:Math.max(2,q.clusterMinPoints||2),extent:i.EXTENT,radius:(q.clusterRadius||50)*ne,log:!1,generateId:q.generateId||!1},clusterProperties:q.clusterProperties,filter:q.filter},q.workerOptions)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.load=function(){var q=this;this.fire(new i.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData(function(K){if(K){q.fire(new i.ErrorEvent(K));return}var de={dataType:\"source\",sourceDataType:\"metadata\"};q._collectResourceTiming&&q._resourceTiming&&q._resourceTiming.length>0&&(de.resourceTiming=q._resourceTiming,q._resourceTiming=[]),q.fire(new i.Event(\"data\",de))})},D.prototype.onAdd=function(q){this.map=q,this.load()},D.prototype.setData=function(q){var K=this;return this._data=q,this.fire(new i.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData(function(de){if(de){K.fire(new i.ErrorEvent(de));return}var ne={dataType:\"source\",sourceDataType:\"content\"};K._collectResourceTiming&&K._resourceTiming&&K._resourceTiming.length>0&&(ne.resourceTiming=K._resourceTiming,K._resourceTiming=[]),K.fire(new i.Event(\"data\",ne))}),this},D.prototype.getClusterExpansionZoom=function(q,K){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:q,source:this.id},K),this},D.prototype.getClusterChildren=function(q,K){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:q,source:this.id},K),this},D.prototype.getClusterLeaves=function(q,K,de,ne){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:q,limit:K,offset:de},ne),this},D.prototype._updateWorkerData=function(q){var K=this;this._loaded=!1;var de=i.extend({},this.workerOptions),ne=this._data;typeof ne==\"string\"?(de.request=this.map._requestManager.transformRequest(i.browser.resolveURL(ne),i.ResourceType.Source),de.request.collectResourceTiming=this._collectResourceTiming):de.data=JSON.stringify(ne),this.actor.send(this.type+\".loadData\",de,function(we,Ue){K._removed||Ue&&Ue.abandoned||(K._loaded=!0,Ue&&Ue.resourceTiming&&Ue.resourceTiming[K.id]&&(K._resourceTiming=Ue.resourceTiming[K.id].slice(0)),K.actor.send(K.type+\".coalesce\",{source:de.source},null),q(we))})},D.prototype.loaded=function(){return this._loaded},D.prototype.loadTile=function(q,K){var de=this,ne=q.actor?\"reloadTile\":\"loadTile\";q.actor=this.actor;var we={type:this.type,uid:q.uid,tileID:q.tileID,zoom:q.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:i.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};q.request=this.actor.send(ne,we,function(Ue,ft){return delete q.request,q.unloadVectorData(),q.aborted?K(null):Ue?K(Ue):(q.loadVectorData(ft,de.map.painter,ne===\"reloadTile\"),K(null))})},D.prototype.abortTile=function(q){q.request&&(q.request.cancel(),delete q.request),q.aborted=!0},D.prototype.unloadTile=function(q){q.unloadVectorData(),this.actor.send(\"removeTile\",{uid:q.uid,type:this.type,source:this.id})},D.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},D.prototype.serialize=function(){return i.extend({},this._options,{type:this.type,data:this._data})},D.prototype.hasTransition=function(){return!1},D}(i.Evented),Me=i.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),ke=function(Y){function D(J,q,K,de){Y.call(this),this.id=J,this.dispatcher=K,this.coordinates=q.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(de),this.options=q}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.load=function(q,K){var de=this;this._loaded=!1,this.fire(new i.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,i.getImage(this.map._requestManager.transformRequest(this.url,i.ResourceType.Image),function(ne,we){de._loaded=!0,ne?de.fire(new i.ErrorEvent(ne)):we&&(de.image=we,q&&(de.coordinates=q),K&&K(),de._finishLoading())})},D.prototype.loaded=function(){return this._loaded},D.prototype.updateImage=function(q){var K=this;return!this.image||!q.url?this:(this.options.url=q.url,this.load(q.coordinates,function(){K.texture=null}),this)},D.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},D.prototype.onAdd=function(q){this.map=q,this.load()},D.prototype.setCoordinates=function(q){var K=this;this.coordinates=q;var de=q.map(i.MercatorCoordinate.fromLngLat);this.tileID=me(de),this.minzoom=this.maxzoom=this.tileID.z;var ne=de.map(function(we){return K.tileID.getTilePoint(we)._round()});return this._boundsArray=new i.StructArrayLayout4i8,this._boundsArray.emplaceBack(ne[0].x,ne[0].y,0,0),this._boundsArray.emplaceBack(ne[1].x,ne[1].y,i.EXTENT,0),this._boundsArray.emplaceBack(ne[3].x,ne[3].y,0,i.EXTENT),this._boundsArray.emplaceBack(ne[2].x,ne[2].y,i.EXTENT,i.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},D.prototype.prepare=function(){if(!(Object.keys(this.tiles).length===0||!this.image)){var q=this.map.painter.context,K=q.gl;this.boundsBuffer||(this.boundsBuffer=q.createVertexBuffer(this._boundsArray,Me.members)),this.boundsSegments||(this.boundsSegments=i.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new i.Texture(q,this.image,K.RGBA),this.texture.bind(K.LINEAR,K.CLAMP_TO_EDGE));for(var de in this.tiles){var ne=this.tiles[de];ne.state!==\"loaded\"&&(ne.state=\"loaded\",ne.texture=this.texture)}}},D.prototype.loadTile=function(q,K){this.tileID&&this.tileID.equals(q.tileID.canonical)?(this.tiles[String(q.tileID.wrap)]=q,q.buckets={},K(null)):(q.state=\"errored\",K(null))},D.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},D.prototype.hasTransition=function(){return!1},D}(i.Evented);function me(Y){for(var D=1/0,J=1/0,q=-1/0,K=-1/0,de=0,ne=Y;de<ne.length;de+=1){var we=ne[de];D=Math.min(D,we.x),J=Math.min(J,we.y),q=Math.max(q,we.x),K=Math.max(K,we.y)}var Ue=q-D,ft=K-J,Zt=Math.max(Ue,ft),hr=Math.max(0,Math.floor(-Math.log(Zt)/Math.LN2)),qt=Math.pow(2,hr);return new i.CanonicalTileID(hr,Math.floor((D+q)/2*qt),Math.floor((J+K)/2*qt))}var ie=function(Y){function D(J,q,K,de){Y.call(this,J,q,K,de),this.roundZoom=!0,this.type=\"video\",this.options=q}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.load=function(){var q=this;this._loaded=!1;var K=this.options;this.urls=[];for(var de=0,ne=K.urls;de<ne.length;de+=1){var we=ne[de];this.urls.push(this.map._requestManager.transformRequest(we,i.ResourceType.Source).url)}i.getVideo(this.urls,function(Ue,ft){q._loaded=!0,Ue?q.fire(new i.ErrorEvent(Ue)):ft&&(q.video=ft,q.video.loop=!0,q.video.addEventListener(\"playing\",function(){q.map.triggerRepaint()}),q.map&&q.video.play(),q._finishLoading())})},D.prototype.pause=function(){this.video&&this.video.pause()},D.prototype.play=function(){this.video&&this.video.play()},D.prototype.seek=function(q){if(this.video){var K=this.video.seekable;q<K.start(0)||q>K.end(0)?this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+K.start(0)+\" and \"+K.end(0)+\"-second mark.\"))):this.video.currentTime=q}},D.prototype.getVideo=function(){return this.video},D.prototype.onAdd=function(q){this.map||(this.map=q,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},D.prototype.prepare=function(){if(!(Object.keys(this.tiles).length===0||this.video.readyState<2)){var q=this.map.painter.context,K=q.gl;this.boundsBuffer||(this.boundsBuffer=q.createVertexBuffer(this._boundsArray,Me.members)),this.boundsSegments||(this.boundsSegments=i.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(K.LINEAR,K.CLAMP_TO_EDGE),K.texSubImage2D(K.TEXTURE_2D,0,0,0,K.RGBA,K.UNSIGNED_BYTE,this.video)):(this.texture=new i.Texture(q,this.video,K.RGBA),this.texture.bind(K.LINEAR,K.CLAMP_TO_EDGE));for(var de in this.tiles){var ne=this.tiles[de];ne.state!==\"loaded\"&&(ne.state=\"loaded\",ne.texture=this.texture)}}},D.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},D.prototype.hasTransition=function(){return this.video&&!this.video.paused},D}(ke),Se=function(Y){function D(J,q,K,de){Y.call(this,J,q,K,de),q.coordinates?(!Array.isArray(q.coordinates)||q.coordinates.length!==4||q.coordinates.some(function(ne){return!Array.isArray(ne)||ne.length!==2||ne.some(function(we){return typeof we!=\"number\"})}))&&this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+J,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+J,null,'missing required property \"coordinates\"'))),q.animate&&typeof q.animate!=\"boolean\"&&this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+J,null,'optional \"animate\" property must be a boolean value'))),q.canvas?typeof q.canvas!=\"string\"&&!(q.canvas instanceof i.window.HTMLCanvasElement)&&this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+J,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 i.ErrorEvent(new i.ValidationError(\"sources.\"+J,null,'missing required property \"canvas\"'))),this.options=q,this.animate=q.animate!==void 0?q.animate:!0}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.load=function(){if(this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof i.window.HTMLCanvasElement?this.options.canvas:i.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()){this.fire(new i.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\")));return}this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading()},D.prototype.getCanvas=function(){return this.canvas},D.prototype.onAdd=function(q){this.map=q,this.load(),this.canvas&&this.animate&&this.play()},D.prototype.onRemove=function(){this.pause()},D.prototype.prepare=function(){var q=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,q=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,q=!0),!this._hasInvalidDimensions()&&Object.keys(this.tiles).length!==0){var K=this.map.painter.context,de=K.gl;this.boundsBuffer||(this.boundsBuffer=K.createVertexBuffer(this._boundsArray,Me.members)),this.boundsSegments||(this.boundsSegments=i.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(q||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new i.Texture(K,this.canvas,de.RGBA,{premultiply:!0});for(var ne in this.tiles){var we=this.tiles[ne];we.state!==\"loaded\"&&(we.state=\"loaded\",we.texture=this.texture)}}},D.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},D.prototype.hasTransition=function(){return this._playing},D.prototype._hasInvalidDimensions=function(){for(var q=0,K=[this.canvas.width,this.canvas.height];q<K.length;q+=1){var de=K[q];if(isNaN(de)||de<=0)return!0}return!1},D}(ke),Le={vector:j,raster:re,\"raster-dem\":oe,geojson:_e,video:ie,image:ke,canvas:Se},Ae=function(Y,D,J,q){var K=new Le[D.type](Y,D,J,q);if(K.id!==Y)throw new Error(\"Expected Source id to be \"+Y+\" instead of \"+K.id);return i.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],K),K},De=function(Y){return Le[Y]},Pe=function(Y,D){Le[Y]=D};function ge(Y,D){var J=i.identity([]);return i.translate(J,J,[1,1,0]),i.scale(J,J,[Y.width*.5,Y.height*.5,1]),i.multiply(J,J,Y.calculatePosMatrix(D.toUnwrapped()))}function Fe(Y,D,J){if(Y)for(var q=0,K=Y;q<K.length;q+=1){var de=K[q],ne=D[de];if(ne&&ne.source===J&&ne.type===\"fill-extrusion\")return!0}else for(var we in D){var Ue=D[we];if(Ue.source===J&&Ue.type===\"fill-extrusion\")return!0}return!1}function ce(Y,D,J,q,K,de){var ne=Fe(K&&K.layers,D,Y.id),we=de.maxPitchScaleFactor(),Ue=Y.tilesIn(q,we,ne);Ue.sort(pt);for(var ft=[],Zt=0,hr=Ue;Zt<hr.length;Zt+=1){var qt=hr[Zt];ft.push({wrappedTileID:qt.tileID.wrapped().key,queryResults:qt.tile.queryRenderedFeatures(D,J,Y._state,qt.queryGeometry,qt.cameraQueryGeometry,qt.scale,K,de,we,ge(Y.transform,qt.tileID))})}var Ve=Wt(ft);for(var et in Ve)Ve[et].forEach(function(at){var kt=at.feature,Ot=Y.getFeatureState(kt.layer[\"source-layer\"],kt.id);kt.source=kt.layer.source,kt.layer[\"source-layer\"]&&(kt.sourceLayer=kt.layer[\"source-layer\"]),kt.state=Ot});return Ve}function Ze(Y,D,J,q,K,de,ne){for(var we={},Ue=de.queryRenderedSymbols(q),ft=[],Zt=0,hr=Object.keys(Ue).map(Number);Zt<hr.length;Zt+=1){var qt=hr[Zt];ft.push(ne[qt])}ft.sort(pt);for(var Ve=function(){var It=at[et],Bt=It.featureIndex.lookupSymbolFeatures(Ue[It.bucketInstanceId],D,It.bucketIndex,It.sourceLayerIndex,K.filter,K.layers,K.availableImages,Y);for(var Rt in Bt){var mt=we[Rt]=we[Rt]||[],Pt=Bt[Rt];Pt.sort(function(Nr,Ri){var hi=It.featureSortOrder;if(hi){var wi=hi.indexOf(Nr.featureIndex),gn=hi.indexOf(Ri.featureIndex);return gn-wi}else return Ri.featureIndex-Nr.featureIndex});for(var ht=0,cr=Pt;ht<cr.length;ht+=1){var br=cr[ht];mt.push(br)}}},et=0,at=ft;et<at.length;et+=1)Ve();var kt=function(It){we[It].forEach(function(Bt){var Rt=Bt.feature,mt=Y[It],Pt=J[mt.source],ht=Pt.getFeatureState(Rt.layer[\"source-layer\"],Rt.id);Rt.source=Rt.layer.source,Rt.layer[\"source-layer\"]&&(Rt.sourceLayer=Rt.layer[\"source-layer\"]),Rt.state=ht})};for(var Ot in we)kt(Ot);return we}function ct(Y,D){for(var J=Y.getRenderableIds().map(function(Ue){return Y.getTileByID(Ue)}),q=[],K={},de=0;de<J.length;de++){var ne=J[de],we=ne.tileID.canonical.key;K[we]||(K[we]=!0,ne.querySourceFeatures(q,D))}return q}function pt(Y,D){var J=Y.tileID,q=D.tileID;return J.overscaledZ-q.overscaledZ||J.canonical.y-q.canonical.y||J.wrap-q.wrap||J.canonical.x-q.canonical.x}function Wt(Y){for(var D={},J={},q=0,K=Y;q<K.length;q+=1){var de=K[q],ne=de.queryResults,we=de.wrappedTileID,Ue=J[we]=J[we]||{};for(var ft in ne)for(var Zt=ne[ft],hr=Ue[ft]=Ue[ft]||{},qt=D[ft]=D[ft]||[],Ve=0,et=Zt;Ve<et.length;Ve+=1){var at=et[Ve];hr[at.featureIndex]||(hr[at.featureIndex]=!0,qt.push(at))}}return D}var st=function(D,J){this.max=D,this.onRemove=J,this.reset()};st.prototype.reset=function(){for(var D in this.data)for(var J=0,q=this.data[D];J<q.length;J+=1){var K=q[J];K.timeout&&clearTimeout(K.timeout),this.onRemove(K.value)}return this.data={},this.order=[],this},st.prototype.add=function(D,J,q){var K=this,de=D.wrapped().key;this.data[de]===void 0&&(this.data[de]=[]);var ne={value:J,timeout:void 0};if(q!==void 0&&(ne.timeout=setTimeout(function(){K.remove(D,ne)},q)),this.data[de].push(ne),this.order.push(de),this.order.length>this.max){var we=this._getAndRemoveByKey(this.order[0]);we&&this.onRemove(we)}return this},st.prototype.has=function(D){return D.wrapped().key in this.data},st.prototype.getAndRemove=function(D){return this.has(D)?this._getAndRemoveByKey(D.wrapped().key):null},st.prototype._getAndRemoveByKey=function(D){var J=this.data[D].shift();return J.timeout&&clearTimeout(J.timeout),this.data[D].length===0&&delete this.data[D],this.order.splice(this.order.indexOf(D),1),J.value},st.prototype.getByKey=function(D){var J=this.data[D];return J?J[0].value:null},st.prototype.get=function(D){if(!this.has(D))return null;var J=this.data[D.wrapped().key][0];return J.value},st.prototype.remove=function(D,J){if(!this.has(D))return this;var q=D.wrapped().key,K=J===void 0?0:this.data[q].indexOf(J),de=this.data[q][K];return this.data[q].splice(K,1),de.timeout&&clearTimeout(de.timeout),this.data[q].length===0&&delete this.data[q],this.onRemove(de.value),this.order.splice(this.order.indexOf(q),1),this},st.prototype.setMaxSize=function(D){for(this.max=D;this.order.length>this.max;){var J=this._getAndRemoveByKey(this.order[0]);J&&this.onRemove(J)}return this},st.prototype.filter=function(D){var J=[];for(var q in this.data)for(var K=0,de=this.data[q];K<de.length;K+=1){var ne=de[K];D(ne.value)||J.push(ne)}for(var we=0,Ue=J;we<Ue.length;we+=1){var ft=Ue[we];this.remove(ft.value.tileID,ft)}};var lt=function(D,J,q){this.context=D;var K=D.gl;this.buffer=K.createBuffer(),this.dynamicDraw=!!q,this.context.unbindVAO(),D.bindElementBuffer.set(this.buffer),K.bufferData(K.ELEMENT_ARRAY_BUFFER,J.arrayBuffer,this.dynamicDraw?K.DYNAMIC_DRAW:K.STATIC_DRAW),this.dynamicDraw||delete J.arrayBuffer};lt.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},lt.prototype.updateData=function(D){var J=this.context.gl;this.context.unbindVAO(),this.bind(),J.bufferSubData(J.ELEMENT_ARRAY_BUFFER,0,D.arrayBuffer)},lt.prototype.destroy=function(){var D=this.context.gl;this.buffer&&(D.deleteBuffer(this.buffer),delete this.buffer)};var Gt={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"},Nt=function(D,J,q,K){this.length=J.length,this.attributes=q,this.itemSize=J.bytesPerElement,this.dynamicDraw=K,this.context=D;var de=D.gl;this.buffer=de.createBuffer(),D.bindVertexBuffer.set(this.buffer),de.bufferData(de.ARRAY_BUFFER,J.arrayBuffer,this.dynamicDraw?de.DYNAMIC_DRAW:de.STATIC_DRAW),this.dynamicDraw||delete J.arrayBuffer};Nt.prototype.bind=function(){this.context.bindVertexBuffer.set(this.buffer)},Nt.prototype.updateData=function(D){var J=this.context.gl;this.bind(),J.bufferSubData(J.ARRAY_BUFFER,0,D.arrayBuffer)},Nt.prototype.enableAttributes=function(D,J){for(var q=0;q<this.attributes.length;q++){var K=this.attributes[q],de=J.attributes[K.name];de!==void 0&&D.enableVertexAttribArray(de)}},Nt.prototype.setVertexAttribPointers=function(D,J,q){for(var K=0;K<this.attributes.length;K++){var de=this.attributes[K],ne=J.attributes[de.name];ne!==void 0&&D.vertexAttribPointer(ne,de.components,D[Gt[de.type]],!1,this.itemSize,de.offset+this.itemSize*(q||0))}},Nt.prototype.destroy=function(){var D=this.context.gl;this.buffer&&(D.deleteBuffer(this.buffer),delete this.buffer)};var $t=function(D){this.gl=D.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1};$t.prototype.get=function(){return this.current},$t.prototype.set=function(D){},$t.prototype.getDefault=function(){return this.default},$t.prototype.setDefault=function(){this.set(this.default)};var sr=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.getDefault=function(){return i.Color.transparent},D.prototype.set=function(q){var K=this.current;q.r===K.r&&q.g===K.g&&q.b===K.b&&q.a===K.a&&!this.dirty||(this.gl.clearColor(q.r,q.g,q.b,q.a),this.current=q,this.dirty=!1)},D}($t),wr=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.getDefault=function(){return 1},D.prototype.set=function(q){q===this.current&&!this.dirty||(this.gl.clearDepth(q),this.current=q,this.dirty=!1)},D}($t),ur=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.getDefault=function(){return 0},D.prototype.set=function(q){q===this.current&&!this.dirty||(this.gl.clearStencil(q),this.current=q,this.dirty=!1)},D}($t),Qe=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.getDefault=function(){return[!0,!0,!0,!0]},D.prototype.set=function(q){var K=this.current;q[0]===K[0]&&q[1]===K[1]&&q[2]===K[2]&&q[3]===K[3]&&!this.dirty||(this.gl.colorMask(q[0],q[1],q[2],q[3]),this.current=q,this.dirty=!1)},D}($t),Et=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.getDefault=function(){return!0},D.prototype.set=function(q){q===this.current&&!this.dirty||(this.gl.depthMask(q),this.current=q,this.dirty=!1)},D}($t),er=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.getDefault=function(){return 255},D.prototype.set=function(q){q===this.current&&!this.dirty||(this.gl.stencilMask(q),this.current=q,this.dirty=!1)},D}($t),Ut=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.getDefault=function(){return{func:this.gl.ALWAYS,ref:0,mask:255}},D.prototype.set=function(q){var K=this.current;q.func===K.func&&q.ref===K.ref&&q.mask===K.mask&&!this.dirty||(this.gl.stencilFunc(q.func,q.ref,q.mask),this.current=q,this.dirty=!1)},D}($t),Ft=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.getDefault=function(){var q=this.gl;return[q.KEEP,q.KEEP,q.KEEP]},D.prototype.set=function(q){var K=this.current;q[0]===K[0]&&q[1]===K[1]&&q[2]===K[2]&&!this.dirty||(this.gl.stencilOp(q[0],q[1],q[2]),this.current=q,this.dirty=!1)},D}($t),bt=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.getDefault=function(){return!1},D.prototype.set=function(q){if(!(q===this.current&&!this.dirty)){var K=this.gl;q?K.enable(K.STENCIL_TEST):K.disable(K.STENCIL_TEST),this.current=q,this.dirty=!1}},D}($t),yt=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.getDefault=function(){return[0,1]},D.prototype.set=function(q){var K=this.current;q[0]===K[0]&&q[1]===K[1]&&!this.dirty||(this.gl.depthRange(q[0],q[1]),this.current=q,this.dirty=!1)},D}($t),Yt=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.getDefault=function(){return!1},D.prototype.set=function(q){if(!(q===this.current&&!this.dirty)){var K=this.gl;q?K.enable(K.DEPTH_TEST):K.disable(K.DEPTH_TEST),this.current=q,this.dirty=!1}},D}($t),lr=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.getDefault=function(){return this.gl.LESS},D.prototype.set=function(q){q===this.current&&!this.dirty||(this.gl.depthFunc(q),this.current=q,this.dirty=!1)},D}($t),Tr=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.getDefault=function(){return!1},D.prototype.set=function(q){if(!(q===this.current&&!this.dirty)){var K=this.gl;q?K.enable(K.BLEND):K.disable(K.BLEND),this.current=q,this.dirty=!1}},D}($t),Rr=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.getDefault=function(){var q=this.gl;return[q.ONE,q.ZERO]},D.prototype.set=function(q){var K=this.current;q[0]===K[0]&&q[1]===K[1]&&!this.dirty||(this.gl.blendFunc(q[0],q[1]),this.current=q,this.dirty=!1)},D}($t),ei=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.getDefault=function(){return i.Color.transparent},D.prototype.set=function(q){var K=this.current;q.r===K.r&&q.g===K.g&&q.b===K.b&&q.a===K.a&&!this.dirty||(this.gl.blendColor(q.r,q.g,q.b,q.a),this.current=q,this.dirty=!1)},D}($t),Wr=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.getDefault=function(){return this.gl.FUNC_ADD},D.prototype.set=function(q){q===this.current&&!this.dirty||(this.gl.blendEquation(q),this.current=q,this.dirty=!1)},D}($t),Ur=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.getDefault=function(){return!1},D.prototype.set=function(q){if(!(q===this.current&&!this.dirty)){var K=this.gl;q?K.enable(K.CULL_FACE):K.disable(K.CULL_FACE),this.current=q,this.dirty=!1}},D}($t),dt=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.getDefault=function(){return this.gl.BACK},D.prototype.set=function(q){q===this.current&&!this.dirty||(this.gl.cullFace(q),this.current=q,this.dirty=!1)},D}($t),Ge=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.getDefault=function(){return this.gl.CCW},D.prototype.set=function(q){q===this.current&&!this.dirty||(this.gl.frontFace(q),this.current=q,this.dirty=!1)},D}($t),Je=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.getDefault=function(){return null},D.prototype.set=function(q){q===this.current&&!this.dirty||(this.gl.useProgram(q),this.current=q,this.dirty=!1)},D}($t),je=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.getDefault=function(){return this.gl.TEXTURE0},D.prototype.set=function(q){q===this.current&&!this.dirty||(this.gl.activeTexture(q),this.current=q,this.dirty=!1)},D}($t),$e=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.getDefault=function(){var q=this.gl;return[0,0,q.drawingBufferWidth,q.drawingBufferHeight]},D.prototype.set=function(q){var K=this.current;q[0]===K[0]&&q[1]===K[1]&&q[2]===K[2]&&q[3]===K[3]&&!this.dirty||(this.gl.viewport(q[0],q[1],q[2],q[3]),this.current=q,this.dirty=!1)},D}($t),wt=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.getDefault=function(){return null},D.prototype.set=function(q){if(!(q===this.current&&!this.dirty)){var K=this.gl;K.bindFramebuffer(K.FRAMEBUFFER,q),this.current=q,this.dirty=!1}},D}($t),Ie=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.getDefault=function(){return null},D.prototype.set=function(q){if(!(q===this.current&&!this.dirty)){var K=this.gl;K.bindRenderbuffer(K.RENDERBUFFER,q),this.current=q,this.dirty=!1}},D}($t),xe=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.getDefault=function(){return null},D.prototype.set=function(q){if(!(q===this.current&&!this.dirty)){var K=this.gl;K.bindTexture(K.TEXTURE_2D,q),this.current=q,this.dirty=!1}},D}($t),Ce=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.getDefault=function(){return null},D.prototype.set=function(q){if(!(q===this.current&&!this.dirty)){var K=this.gl;K.bindBuffer(K.ARRAY_BUFFER,q),this.current=q,this.dirty=!1}},D}($t),vt=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.getDefault=function(){return null},D.prototype.set=function(q){var K=this.gl;K.bindBuffer(K.ELEMENT_ARRAY_BUFFER,q),this.current=q,this.dirty=!1},D}($t),nr=function(Y){function D(J){Y.call(this,J),this.vao=J.extVertexArrayObject}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.getDefault=function(){return null},D.prototype.set=function(q){!this.vao||q===this.current&&!this.dirty||(this.vao.bindVertexArrayOES(q),this.current=q,this.dirty=!1)},D}($t),ir=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.getDefault=function(){return 4},D.prototype.set=function(q){if(!(q===this.current&&!this.dirty)){var K=this.gl;K.pixelStorei(K.UNPACK_ALIGNMENT,q),this.current=q,this.dirty=!1}},D}($t),pr=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.getDefault=function(){return!1},D.prototype.set=function(q){if(!(q===this.current&&!this.dirty)){var K=this.gl;K.pixelStorei(K.UNPACK_PREMULTIPLY_ALPHA_WEBGL,q),this.current=q,this.dirty=!1}},D}($t),oi=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.getDefault=function(){return!1},D.prototype.set=function(q){if(!(q===this.current&&!this.dirty)){var K=this.gl;K.pixelStorei(K.UNPACK_FLIP_Y_WEBGL,q),this.current=q,this.dirty=!1}},D}($t),di=function(Y){function D(J,q){Y.call(this,J),this.context=J,this.parent=q}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.getDefault=function(){return null},D}($t),Jr=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.setDirty=function(){this.dirty=!0},D.prototype.set=function(q){if(!(q===this.current&&!this.dirty)){this.context.bindFramebuffer.set(this.parent);var K=this.gl;K.framebufferTexture2D(K.FRAMEBUFFER,K.COLOR_ATTACHMENT0,K.TEXTURE_2D,q,0),this.current=q,this.dirty=!1}},D}(di),fi=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.set=function(q){if(!(q===this.current&&!this.dirty)){this.context.bindFramebuffer.set(this.parent);var K=this.gl;K.framebufferRenderbuffer(K.FRAMEBUFFER,K.DEPTH_ATTACHMENT,K.RENDERBUFFER,q),this.current=q,this.dirty=!1}},D}(di),Hi=function(D,J,q,K){this.context=D,this.width=J,this.height=q;var de=D.gl,ne=this.framebuffer=de.createFramebuffer();this.colorAttachment=new Jr(D,ne),K&&(this.depthAttachment=new fi(D,ne))};Hi.prototype.destroy=function(){var D=this.context.gl,J=this.colorAttachment.get();if(J&&D.deleteTexture(J),this.depthAttachment){var q=this.depthAttachment.get();q&&D.deleteRenderbuffer(q)}D.deleteFramebuffer(this.framebuffer)};var Pn=519,wn=function(D,J,q){this.func=D,this.mask=J,this.range=q};wn.ReadOnly=!1,wn.ReadWrite=!0,wn.disabled=new wn(Pn,wn.ReadOnly,[0,1]);var pn=519,Vn=7680,kn=function(D,J,q,K,de,ne){this.test=D,this.ref=J,this.mask=q,this.fail=K,this.depthFail=de,this.pass=ne};kn.disabled=new kn({func:pn,mask:0},0,0,Vn,Vn,Vn);var ea=0,ua=1,Vt=771,_t=function(D,J,q){this.blendFunction=D,this.blendColor=J,this.mask=q};_t.Replace=[ua,ea],_t.disabled=new _t(_t.Replace,i.Color.transparent,[!1,!1,!1,!1]),_t.unblended=new _t(_t.Replace,i.Color.transparent,[!0,!0,!0,!0]),_t.alphaBlended=new _t([ua,Vt],i.Color.transparent,[!0,!0,!0,!0]);var tr=1029,ar=2305,Er=function(D,J,q){this.enable=D,this.mode=J,this.frontFace=q};Er.disabled=new Er(!1,tr,ar),Er.backCCW=new Er(!0,tr,ar);var Zr=function(D){this.gl=D,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new sr(this),this.clearDepth=new wr(this),this.clearStencil=new ur(this),this.colorMask=new Qe(this),this.depthMask=new Et(this),this.stencilMask=new er(this),this.stencilFunc=new Ut(this),this.stencilOp=new Ft(this),this.stencilTest=new bt(this),this.depthRange=new yt(this),this.depthTest=new Yt(this),this.depthFunc=new lr(this),this.blend=new Tr(this),this.blendFunc=new Rr(this),this.blendColor=new ei(this),this.blendEquation=new Wr(this),this.cullFace=new Ur(this),this.cullFaceSide=new dt(this),this.frontFace=new Ge(this),this.program=new Je(this),this.activeTexture=new je(this),this.viewport=new $e(this),this.bindFramebuffer=new wt(this),this.bindRenderbuffer=new Ie(this),this.bindTexture=new xe(this),this.bindVertexBuffer=new Ce(this),this.bindElementBuffer=new vt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new nr(this),this.pixelStoreUnpack=new ir(this),this.pixelStoreUnpackPremultiplyAlpha=new pr(this),this.pixelStoreUnpackFlipY=new oi(this),this.extTextureFilterAnisotropic=D.getExtension(\"EXT_texture_filter_anisotropic\")||D.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||D.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=D.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=D.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(D.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=D.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=D.getExtension(\"EXT_disjoint_timer_query\"),this.maxTextureSize=D.getParameter(D.MAX_TEXTURE_SIZE)};Zr.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()},Zr.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},Zr.prototype.createIndexBuffer=function(D,J){return new lt(this,D,J)},Zr.prototype.createVertexBuffer=function(D,J,q){return new Nt(this,D,J,q)},Zr.prototype.createRenderbuffer=function(D,J,q){var K=this.gl,de=K.createRenderbuffer();return this.bindRenderbuffer.set(de),K.renderbufferStorage(K.RENDERBUFFER,D,J,q),this.bindRenderbuffer.set(null),de},Zr.prototype.createFramebuffer=function(D,J,q){return new Hi(this,D,J,q)},Zr.prototype.clear=function(D){var J=D.color,q=D.depth,K=this.gl,de=0;J&&(de|=K.COLOR_BUFFER_BIT,this.clearColor.set(J),this.colorMask.set([!0,!0,!0,!0])),typeof q!=\"undefined\"&&(de|=K.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(q),this.depthMask.set(!0)),K.clear(de)},Zr.prototype.setCullFace=function(D){D.enable===!1?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(D.mode),this.frontFace.set(D.frontFace))},Zr.prototype.setDepthMode=function(D){D.func===this.gl.ALWAYS&&!D.mask?this.depthTest.set(!1):(this.depthTest.set(!0),this.depthFunc.set(D.func),this.depthMask.set(D.mask),this.depthRange.set(D.range))},Zr.prototype.setStencilMode=function(D){D.test.func===this.gl.ALWAYS&&!D.mask?this.stencilTest.set(!1):(this.stencilTest.set(!0),this.stencilMask.set(D.mask),this.stencilOp.set([D.fail,D.depthFail,D.pass]),this.stencilFunc.set({func:D.test.func,ref:D.ref,mask:D.test.mask}))},Zr.prototype.setColorMode=function(D){i.deepEqual(D.blendFunction,_t.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(D.blendFunction),this.blendColor.set(D.blendColor)),this.colorMask.set(D.mask)},Zr.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var ri=function(Y){function D(J,q,K){var de=this;Y.call(this),this.id=J,this.dispatcher=K,this.on(\"data\",function(ne){ne.dataType===\"source\"&&ne.sourceDataType===\"metadata\"&&(de._sourceLoaded=!0),de._sourceLoaded&&!de._paused&&ne.dataType===\"source\"&&ne.sourceDataType===\"content\"&&(de.reload(),de.transform&&de.update(de.transform))}),this.on(\"error\",function(){de._sourceErrored=!0}),this._source=Ae(J,q,K,this),this._tiles={},this._cache=new st(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new i.SourceFeatureState}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.onAdd=function(q){this.map=q,this._maxTileCacheSize=q?q._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(q)},D.prototype.onRemove=function(q){this._source&&this._source.onRemove&&this._source.onRemove(q)},D.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded||!this._source.loaded())return!1;for(var q in this._tiles){var K=this._tiles[q];if(K.state!==\"loaded\"&&K.state!==\"errored\")return!1}return!0},D.prototype.getSource=function(){return this._source},D.prototype.pause=function(){this._paused=!0},D.prototype.resume=function(){if(this._paused){var q=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,q&&this.reload(),this.transform&&this.update(this.transform)}},D.prototype._loadTile=function(q,K){return this._source.loadTile(q,K)},D.prototype._unloadTile=function(q){if(this._source.unloadTile)return this._source.unloadTile(q,function(){})},D.prototype._abortTile=function(q){if(this._source.abortTile)return this._source.abortTile(q,function(){})},D.prototype.serialize=function(){return this._source.serialize()},D.prototype.prepare=function(q){this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null);for(var K in this._tiles){var de=this._tiles[K];de.upload(q),de.prepare(this.map.style.imageManager)}},D.prototype.getIds=function(){return i.values(this._tiles).map(function(q){return q.tileID}).sort($r).map(function(q){return q.key})},D.prototype.getRenderableIds=function(q){var K=this,de=[];for(var ne in this._tiles)this._isIdRenderable(ne,q)&&de.push(this._tiles[ne]);return q?de.sort(function(we,Ue){var ft=we.tileID,Zt=Ue.tileID,hr=new i.Point(ft.canonical.x,ft.canonical.y)._rotate(K.transform.angle),qt=new i.Point(Zt.canonical.x,Zt.canonical.y)._rotate(K.transform.angle);return ft.overscaledZ-Zt.overscaledZ||qt.y-hr.y||qt.x-hr.x}).map(function(we){return we.tileID.key}):de.map(function(we){return we.tileID}).sort($r).map(function(we){return we.key})},D.prototype.hasRenderableParent=function(q){var K=this.findLoadedParent(q,0);return K?this._isIdRenderable(K.tileID.key):!1},D.prototype._isIdRenderable=function(q,K){return this._tiles[q]&&this._tiles[q].hasData()&&!this._coveredTiles[q]&&(K||!this._tiles[q].holdingForFade())},D.prototype.reload=function(){if(this._paused){this._shouldReloadOnResume=!0;return}this._cache.reset();for(var q in this._tiles)this._tiles[q].state!==\"errored\"&&this._reloadTile(q,\"reloading\")},D.prototype._reloadTile=function(q,K){var de=this._tiles[q];de&&(de.state!==\"loading\"&&(de.state=K),this._loadTile(de,this._tileLoaded.bind(this,de,q,K)))},D.prototype._tileLoaded=function(q,K,de,ne){if(ne){q.state=\"errored\",ne.status!==404?this._source.fire(new i.ErrorEvent(ne,{tile:q})):this.update(this.transform);return}q.timeAdded=i.browser.now(),de===\"expired\"&&(q.refreshedUponExpiration=!0),this._setTileReloadTimer(K,q),this.getSource().type===\"raster-dem\"&&q.dem&&this._backfillDEM(q),this._state.initializeTileState(q,this.map?this.map.painter:null),this._source.fire(new i.Event(\"data\",{dataType:\"source\",tile:q,coord:q.tileID}))},D.prototype._backfillDEM=function(q){for(var K=this.getRenderableIds(),de=0;de<K.length;de++){var ne=K[de];if(q.neighboringTiles&&q.neighboringTiles[ne]){var we=this.getTileByID(ne);Ue(q,we),Ue(we,q)}}function Ue(ft,Zt){ft.needsHillshadePrepare=!0;var hr=Zt.tileID.canonical.x-ft.tileID.canonical.x,qt=Zt.tileID.canonical.y-ft.tileID.canonical.y,Ve=Math.pow(2,ft.tileID.canonical.z),et=Zt.tileID.key;hr===0&&qt===0||Math.abs(qt)>1||(Math.abs(hr)>1&&(Math.abs(hr+Ve)===1?hr+=Ve:Math.abs(hr-Ve)===1&&(hr-=Ve)),!(!Zt.dem||!ft.dem)&&(ft.dem.backfillBorder(Zt.dem,hr,qt),ft.neighboringTiles&&ft.neighboringTiles[et]&&(ft.neighboringTiles[et].backfilled=!0)))}},D.prototype.getTile=function(q){return this.getTileByID(q.key)},D.prototype.getTileByID=function(q){return this._tiles[q]},D.prototype._retainLoadedChildren=function(q,K,de,ne){for(var we in this._tiles){var Ue=this._tiles[we];if(!(ne[we]||!Ue.hasData()||Ue.tileID.overscaledZ<=K||Ue.tileID.overscaledZ>de)){for(var ft=Ue.tileID;Ue&&Ue.tileID.overscaledZ>K+1;){var Zt=Ue.tileID.scaledTo(Ue.tileID.overscaledZ-1);Ue=this._tiles[Zt.key],Ue&&Ue.hasData()&&(ft=Zt)}for(var hr=ft;hr.overscaledZ>K;)if(hr=hr.scaledTo(hr.overscaledZ-1),q[hr.key]){ne[ft.key]=ft;break}}}},D.prototype.findLoadedParent=function(q,K){if(q.key in this._loadedParentTiles){var de=this._loadedParentTiles[q.key];return de&&de.tileID.overscaledZ>=K?de:null}for(var ne=q.overscaledZ-1;ne>=K;ne--){var we=q.scaledTo(ne),Ue=this._getLoadedTile(we);if(Ue)return Ue}},D.prototype._getLoadedTile=function(q){var K=this._tiles[q.key];if(K&&K.hasData())return K;var de=this._cache.getByKey(q.wrapped().key);return de},D.prototype.updateCacheSize=function(q){var K=Math.ceil(q.width/this._source.tileSize)+1,de=Math.ceil(q.height/this._source.tileSize)+1,ne=K*de,we=5,Ue=Math.floor(ne*we),ft=typeof this._maxTileCacheSize==\"number\"?Math.min(this._maxTileCacheSize,Ue):Ue;this._cache.setMaxSize(ft)},D.prototype.handleWrapJump=function(q){var K=this._prevLng===void 0?q:this._prevLng,de=q-K,ne=de/360,we=Math.round(ne);if(this._prevLng=q,we){var Ue={};for(var ft in this._tiles){var Zt=this._tiles[ft];Zt.tileID=Zt.tileID.unwrapTo(Zt.tileID.wrap+we),Ue[Zt.tileID.key]=Zt}this._tiles=Ue;for(var hr in this._timers)clearTimeout(this._timers[hr]),delete this._timers[hr];for(var qt in this._tiles){var Ve=this._tiles[qt];this._setTileReloadTimer(qt,Ve)}}},D.prototype.update=function(q){var K=this;if(this.transform=q,!(!this._sourceLoaded||this._paused)){this.updateCacheSize(q),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={};var de;this.used?this._source.tileID?de=q.getVisibleUnwrappedCoordinates(this._source.tileID).map(function(Nr){return new i.OverscaledTileID(Nr.canonical.z,Nr.wrap,Nr.canonical.z,Nr.canonical.x,Nr.canonical.y)}):(de=q.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(de=de.filter(function(Nr){return K._source.hasTile(Nr)}))):de=[];var ne=q.coveringZoomLevel(this._source),we=Math.max(ne-D.maxOverzooming,this._source.minzoom),Ue=Math.max(ne+D.maxUnderzooming,this._source.minzoom),ft=this._updateRetainedTiles(de,ne);if(zi(this._source.type)){for(var Zt={},hr={},qt=Object.keys(ft),Ve=0,et=qt;Ve<et.length;Ve+=1){var at=et[Ve],kt=ft[at],Ot=this._tiles[at];if(!(!Ot||Ot.fadeEndTime&&Ot.fadeEndTime<=i.browser.now())){var It=this.findLoadedParent(kt,we);It&&(this._addTile(It.tileID),Zt[It.tileID.key]=It.tileID),hr[at]=kt}}this._retainLoadedChildren(hr,ne,Ue,ft);for(var Bt in Zt)ft[Bt]||(this._coveredTiles[Bt]=!0,ft[Bt]=Zt[Bt])}for(var Rt in ft)this._tiles[Rt].clearFadeHold();for(var mt=i.keysDifference(this._tiles,ft),Pt=0,ht=mt;Pt<ht.length;Pt+=1){var cr=ht[Pt],br=this._tiles[cr];br.hasSymbolBuckets&&!br.holdingForFade()?br.setHoldDuration(this.map._fadeDuration):(!br.hasSymbolBuckets||br.symbolFadeFinished())&&this._removeTile(cr)}this._updateLoadedParentTileCache()}},D.prototype.releaseSymbolFadeTiles=function(){for(var q in this._tiles)this._tiles[q].holdingForFade()&&this._removeTile(q)},D.prototype._updateRetainedTiles=function(q,K){for(var de={},ne={},we=Math.max(K-D.maxOverzooming,this._source.minzoom),Ue=Math.max(K+D.maxUnderzooming,this._source.minzoom),ft={},Zt=0,hr=q;Zt<hr.length;Zt+=1){var qt=hr[Zt],Ve=this._addTile(qt);de[qt.key]=qt,!Ve.hasData()&&K<this._source.maxzoom&&(ft[qt.key]=qt)}this._retainLoadedChildren(ft,K,Ue,de);for(var et=0,at=q;et<at.length;et+=1){var kt=at[et],Ot=this._tiles[kt.key];if(!Ot.hasData()){if(K+1>this._source.maxzoom){var It=kt.children(this._source.maxzoom)[0],Bt=this.getTile(It);if(Bt&&Bt.hasData()){de[It.key]=It;continue}}else{var Rt=kt.children(this._source.maxzoom);if(de[Rt[0].key]&&de[Rt[1].key]&&de[Rt[2].key]&&de[Rt[3].key])continue}for(var mt=Ot.wasRequested(),Pt=kt.overscaledZ-1;Pt>=we;--Pt){var ht=kt.scaledTo(Pt);if(ne[ht.key]||(ne[ht.key]=!0,Ot=this.getTile(ht),!Ot&&mt&&(Ot=this._addTile(ht)),Ot&&(de[ht.key]=ht,mt=Ot.wasRequested(),Ot.hasData())))break}}}return de},D.prototype._updateLoadedParentTileCache=function(){this._loadedParentTiles={};for(var q in this._tiles){for(var K=[],de=void 0,ne=this._tiles[q].tileID;ne.overscaledZ>0;){if(ne.key in this._loadedParentTiles){de=this._loadedParentTiles[ne.key];break}K.push(ne.key);var we=ne.scaledTo(ne.overscaledZ-1);if(de=this._getLoadedTile(we),de)break;ne=we}for(var Ue=0,ft=K;Ue<ft.length;Ue+=1){var Zt=ft[Ue];this._loadedParentTiles[Zt]=de}}},D.prototype._addTile=function(q){var K=this._tiles[q.key];if(K)return K;K=this._cache.getAndRemove(q),K&&(this._setTileReloadTimer(q.key,K),K.tileID=q,this._state.initializeTileState(K,this.map?this.map.painter:null),this._cacheTimers[q.key]&&(clearTimeout(this._cacheTimers[q.key]),delete this._cacheTimers[q.key],this._setTileReloadTimer(q.key,K)));var de=!!K;return de||(K=new i.Tile(q,this._source.tileSize*q.overscaleFactor()),this._loadTile(K,this._tileLoaded.bind(this,K,q.key,K.state))),K?(K.uses++,this._tiles[q.key]=K,de||this._source.fire(new i.Event(\"dataloading\",{tile:K,coord:K.tileID,dataType:\"source\"})),K):null},D.prototype._setTileReloadTimer=function(q,K){var de=this;q in this._timers&&(clearTimeout(this._timers[q]),delete this._timers[q]);var ne=K.getExpiryTimeout();ne&&(this._timers[q]=setTimeout(function(){de._reloadTile(q,\"expired\"),delete de._timers[q]},ne))},D.prototype._removeTile=function(q){var K=this._tiles[q];K&&(K.uses--,delete this._tiles[q],this._timers[q]&&(clearTimeout(this._timers[q]),delete this._timers[q]),!(K.uses>0)&&(K.hasData()&&K.state!==\"reloading\"?this._cache.add(K.tileID,K,K.getExpiryTimeout()):(K.aborted=!0,this._abortTile(K),this._unloadTile(K))))},D.prototype.clearTiles=function(){this._shouldReloadOnResume=!1,this._paused=!1;for(var q in this._tiles)this._removeTile(q);this._cache.reset()},D.prototype.tilesIn=function(q,K,de){var ne=this,we=[],Ue=this.transform;if(!Ue)return we;for(var ft=de?Ue.getCameraQueryGeometry(q):q,Zt=q.map(function(Pt){return Ue.pointCoordinate(Pt)}),hr=ft.map(function(Pt){return Ue.pointCoordinate(Pt)}),qt=this.getIds(),Ve=1/0,et=1/0,at=-1/0,kt=-1/0,Ot=0,It=hr;Ot<It.length;Ot+=1){var Bt=It[Ot];Ve=Math.min(Ve,Bt.x),et=Math.min(et,Bt.y),at=Math.max(at,Bt.x),kt=Math.max(kt,Bt.y)}for(var Rt=function(Pt){var ht=ne._tiles[qt[Pt]];if(!ht.holdingForFade()){var cr=ht.tileID,br=Math.pow(2,Ue.zoom-ht.tileID.overscaledZ),Nr=K*ht.queryPadding*i.EXTENT/ht.tileSize/br,Ri=[cr.getTilePoint(new i.MercatorCoordinate(Ve,et)),cr.getTilePoint(new i.MercatorCoordinate(at,kt))];if(Ri[0].x-Nr<i.EXTENT&&Ri[0].y-Nr<i.EXTENT&&Ri[1].x+Nr>=0&&Ri[1].y+Nr>=0){var hi=Zt.map(function(gn){return cr.getTilePoint(gn)}),wi=hr.map(function(gn){return cr.getTilePoint(gn)});we.push({tile:ht,tileID:cr,queryGeometry:hi,cameraQueryGeometry:wi,scale:br})}}},mt=0;mt<qt.length;mt++)Rt(mt);return we},D.prototype.getVisibleCoordinates=function(q){for(var K=this,de=this.getRenderableIds(q).map(function(ft){return K._tiles[ft].tileID}),ne=0,we=de;ne<we.length;ne+=1){var Ue=we[ne];Ue.posMatrix=this.transform.calculatePosMatrix(Ue.toUnwrapped())}return de},D.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(zi(this._source.type))for(var q in this._tiles){var K=this._tiles[q];if(K.fadeEndTime!==void 0&&K.fadeEndTime>=i.browser.now())return!0}return!1},D.prototype.setFeatureState=function(q,K,de){q=q||\"_geojsonTileLayer\",this._state.updateState(q,K,de)},D.prototype.removeFeatureState=function(q,K,de){q=q||\"_geojsonTileLayer\",this._state.removeFeatureState(q,K,de)},D.prototype.getFeatureState=function(q,K){return q=q||\"_geojsonTileLayer\",this._state.getState(q,K)},D.prototype.setDependencies=function(q,K,de){var ne=this._tiles[q];ne&&ne.setDependencies(K,de)},D.prototype.reloadTilesForDependencies=function(q,K){for(var de in this._tiles){var ne=this._tiles[de];ne.hasDependency(q,K)&&this._reloadTile(de,\"reloading\")}this._cache.filter(function(we){return!we.hasDependency(q,K)})},D}(i.Evented);ri.maxOverzooming=10,ri.maxUnderzooming=3;function $r(Y,D){var J=Math.abs(Y.wrap*2)-+(Y.wrap<0),q=Math.abs(D.wrap*2)-+(D.wrap<0);return Y.overscaledZ-D.overscaledZ||q-J||D.canonical.y-Y.canonical.y||D.canonical.x-Y.canonical.x}function zi(Y){return Y===\"raster\"||Y===\"image\"||Y===\"video\"}function Ji(){return new i.window.Worker(io.workerUrl)}var en=\"mapboxgl_preloaded_worker_pool\",cn=function(){this.active={}};cn.prototype.acquire=function(D){if(!this.workers)for(this.workers=[];this.workers.length<cn.workerCount;)this.workers.push(new Ji);return this.active[D]=!0,this.workers.slice()},cn.prototype.release=function(D){delete this.active[D],this.numActive()===0&&(this.workers.forEach(function(J){J.terminate()}),this.workers=null)},cn.prototype.isPreloaded=function(){return!!this.active[en]},cn.prototype.numActive=function(){return Object.keys(this.active).length};var yn=Math.floor(i.browser.hardwareConcurrency/2);cn.workerCount=Math.max(Math.min(yn,6),1);var Mn;function Ba(){return Mn||(Mn=new cn),Mn}function la(){var Y=Ba();Y.acquire(en)}function ma(){var Y=Mn;Y&&(Y.isPreloaded()&&Y.numActive()===1?(Y.release(en),Mn=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))}function Wa(Y,D){var J={};for(var q in Y)q!==\"ref\"&&(J[q]=Y[q]);return i.refProperties.forEach(function(K){K in D&&(J[K]=D[K])}),J}function Fa(Y){Y=Y.slice();for(var D=Object.create(null),J=0;J<Y.length;J++)D[Y[J].id]=Y[J];for(var q=0;q<Y.length;q++)\"ref\"in Y[q]&&(Y[q]=Wa(Y[q],D[Y[q].ref]));return Y}function Wo(){var Y={},D=i.styleSpec.$version;for(var J in i.styleSpec.$root){var q=i.styleSpec.$root[J];if(q.required){var K=null;J===\"version\"?K=D:q.type===\"array\"?K=[]:K={},K!=null&&(Y[J]=K)}}return Y}var da={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 Wn(Y,D,J){J.push({command:da.addSource,args:[Y,D[Y]]})}function Ga(Y,D,J){D.push({command:da.removeSource,args:[Y]}),J[Y]=!0}function vo(Y,D,J,q){Ga(Y,J,q),Wn(Y,D,J)}function jn(Y,D,J){var q;for(q in Y[J])if(Y[J].hasOwnProperty(q)&&q!==\"data\"&&!i.deepEqual(Y[J][q],D[J][q]))return!1;for(q in D[J])if(D[J].hasOwnProperty(q)&&q!==\"data\"&&!i.deepEqual(Y[J][q],D[J][q]))return!1;return!0}function St(Y,D,J,q){Y=Y||{},D=D||{};var K;for(K in Y)Y.hasOwnProperty(K)&&(D.hasOwnProperty(K)||Ga(K,J,q));for(K in D)D.hasOwnProperty(K)&&(Y.hasOwnProperty(K)?i.deepEqual(Y[K],D[K])||(Y[K].type===\"geojson\"&&D[K].type===\"geojson\"&&jn(Y,D,K)?J.push({command:da.setGeoJSONSourceData,args:[K,D[K].data]}):vo(K,D,J,q)):Wn(K,D,J))}function Cr(Y,D,J,q,K,de){Y=Y||{},D=D||{};var ne;for(ne in Y)Y.hasOwnProperty(ne)&&(i.deepEqual(Y[ne],D[ne])||J.push({command:de,args:[q,ne,D[ne],K]}));for(ne in D)!D.hasOwnProperty(ne)||Y.hasOwnProperty(ne)||i.deepEqual(Y[ne],D[ne])||J.push({command:de,args:[q,ne,D[ne],K]})}function Qr(Y){return Y.id}function pi(Y,D){return Y[D.id]=D,Y}function fn(Y,D,J){Y=Y||[],D=D||[];var q=Y.map(Qr),K=D.map(Qr),de=Y.reduce(pi,{}),ne=D.reduce(pi,{}),we=q.slice(),Ue=Object.create(null),ft,Zt,hr,qt,Ve,et,at;for(ft=0,Zt=0;ft<q.length;ft++)hr=q[ft],ne.hasOwnProperty(hr)?Zt++:(J.push({command:da.removeLayer,args:[hr]}),we.splice(we.indexOf(hr,Zt),1));for(ft=0,Zt=0;ft<K.length;ft++)hr=K[K.length-1-ft],we[we.length-1-ft]!==hr&&(de.hasOwnProperty(hr)?(J.push({command:da.removeLayer,args:[hr]}),we.splice(we.lastIndexOf(hr,we.length-Zt),1)):Zt++,et=we[we.length-ft],J.push({command:da.addLayer,args:[ne[hr],et]}),we.splice(we.length-ft,0,hr),Ue[hr]=!0);for(ft=0;ft<K.length;ft++)if(hr=K[ft],qt=de[hr],Ve=ne[hr],!(Ue[hr]||i.deepEqual(qt,Ve))){if(!i.deepEqual(qt.source,Ve.source)||!i.deepEqual(qt[\"source-layer\"],Ve[\"source-layer\"])||!i.deepEqual(qt.type,Ve.type)){J.push({command:da.removeLayer,args:[hr]}),et=we[we.lastIndexOf(hr)+1],J.push({command:da.addLayer,args:[Ve,et]});continue}Cr(qt.layout,Ve.layout,J,hr,null,da.setLayoutProperty),Cr(qt.paint,Ve.paint,J,hr,null,da.setPaintProperty),i.deepEqual(qt.filter,Ve.filter)||J.push({command:da.setFilter,args:[hr,Ve.filter]}),(!i.deepEqual(qt.minzoom,Ve.minzoom)||!i.deepEqual(qt.maxzoom,Ve.maxzoom))&&J.push({command:da.setLayerZoomRange,args:[hr,Ve.minzoom,Ve.maxzoom]});for(at in qt)qt.hasOwnProperty(at)&&(at===\"layout\"||at===\"paint\"||at===\"filter\"||at===\"metadata\"||at===\"minzoom\"||at===\"maxzoom\"||(at.indexOf(\"paint.\")===0?Cr(qt[at],Ve[at],J,hr,at.slice(6),da.setPaintProperty):i.deepEqual(qt[at],Ve[at])||J.push({command:da.setLayerProperty,args:[hr,at,Ve[at]]})));for(at in Ve)!Ve.hasOwnProperty(at)||qt.hasOwnProperty(at)||at===\"layout\"||at===\"paint\"||at===\"filter\"||at===\"metadata\"||at===\"minzoom\"||at===\"maxzoom\"||(at.indexOf(\"paint.\")===0?Cr(qt[at],Ve[at],J,hr,at.slice(6),da.setPaintProperty):i.deepEqual(qt[at],Ve[at])||J.push({command:da.setLayerProperty,args:[hr,at,Ve[at]]}))}}function Sn(Y,D){if(!Y)return[{command:da.setStyle,args:[D]}];var J=[];try{if(!i.deepEqual(Y.version,D.version))return[{command:da.setStyle,args:[D]}];i.deepEqual(Y.center,D.center)||J.push({command:da.setCenter,args:[D.center]}),i.deepEqual(Y.zoom,D.zoom)||J.push({command:da.setZoom,args:[D.zoom]}),i.deepEqual(Y.bearing,D.bearing)||J.push({command:da.setBearing,args:[D.bearing]}),i.deepEqual(Y.pitch,D.pitch)||J.push({command:da.setPitch,args:[D.pitch]}),i.deepEqual(Y.sprite,D.sprite)||J.push({command:da.setSprite,args:[D.sprite]}),i.deepEqual(Y.glyphs,D.glyphs)||J.push({command:da.setGlyphs,args:[D.glyphs]}),i.deepEqual(Y.transition,D.transition)||J.push({command:da.setTransition,args:[D.transition]}),i.deepEqual(Y.light,D.light)||J.push({command:da.setLight,args:[D.light]});var q={},K=[];St(Y.sources,D.sources,K,q);var de=[];Y.layers&&Y.layers.forEach(function(ne){q[ne.source]?J.push({command:da.removeLayer,args:[ne.id]}):de.push(ne)}),J=J.concat(K),fn(de,D.layers,J)}catch(ne){console.warn(\"Unable to compute style diff:\",ne),J=[{command:da.setStyle,args:[D]}]}return J}var En=function(D,J){this.reset(D,J)};En.prototype.reset=function(D,J){this.points=D||[],this._distances=[0];for(var q=1;q<this.points.length;q++)this._distances[q]=this._distances[q-1]+this.points[q].dist(this.points[q-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(J||0,this.length*.5),this.paddedLength=this.length-this.padding*2},En.prototype.lerp=function(D){if(this.points.length===1)return this.points[0];D=i.clamp(D,0,1);for(var J=1,q=this._distances[J],K=D*this.paddedLength+this.padding;q<K&&J<this._distances.length;)q=this._distances[++J];var de=J-1,ne=this._distances[de],we=q-ne,Ue=we>0?(K-ne)/we:0;return this.points[de].mult(1-Ue).add(this.points[J].mult(Ue))};var ki=function(D,J,q){var K=this.boxCells=[],de=this.circleCells=[];this.xCellCount=Math.ceil(D/q),this.yCellCount=Math.ceil(J/q);for(var ne=0;ne<this.xCellCount*this.yCellCount;ne++)K.push([]),de.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=D,this.height=J,this.xScale=this.xCellCount/D,this.yScale=this.yCellCount/J,this.boxUid=0,this.circleUid=0};ki.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},ki.prototype.insert=function(D,J,q,K,de){this._forEachCell(J,q,K,de,this._insertBoxCell,this.boxUid++),this.boxKeys.push(D),this.bboxes.push(J),this.bboxes.push(q),this.bboxes.push(K),this.bboxes.push(de)},ki.prototype.insertCircle=function(D,J,q,K){this._forEachCell(J-K,q-K,J+K,q+K,this._insertCircleCell,this.circleUid++),this.circleKeys.push(D),this.circles.push(J),this.circles.push(q),this.circles.push(K)},ki.prototype._insertBoxCell=function(D,J,q,K,de,ne){this.boxCells[de].push(ne)},ki.prototype._insertCircleCell=function(D,J,q,K,de,ne){this.circleCells[de].push(ne)},ki.prototype._query=function(D,J,q,K,de,ne){if(q<0||D>this.width||K<0||J>this.height)return de?!1:[];var we=[];if(D<=0&&J<=0&&this.width<=q&&this.height<=K){if(de)return!0;for(var Ue=0;Ue<this.boxKeys.length;Ue++)we.push({key:this.boxKeys[Ue],x1:this.bboxes[Ue*4],y1:this.bboxes[Ue*4+1],x2:this.bboxes[Ue*4+2],y2:this.bboxes[Ue*4+3]});for(var ft=0;ft<this.circleKeys.length;ft++){var Zt=this.circles[ft*3],hr=this.circles[ft*3+1],qt=this.circles[ft*3+2];we.push({key:this.circleKeys[ft],x1:Zt-qt,y1:hr-qt,x2:Zt+qt,y2:hr+qt})}return ne?we.filter(ne):we}else{var Ve={hitTest:de,seenUids:{box:{},circle:{}}};return this._forEachCell(D,J,q,K,this._queryCell,we,Ve,ne),de?we.length>0:we}},ki.prototype._queryCircle=function(D,J,q,K,de){var ne=D-q,we=D+q,Ue=J-q,ft=J+q;if(we<0||ne>this.width||ft<0||Ue>this.height)return K?!1:[];var Zt=[],hr={hitTest:K,circle:{x:D,y:J,radius:q},seenUids:{box:{},circle:{}}};return this._forEachCell(ne,Ue,we,ft,this._queryCellCircle,Zt,hr,de),K?Zt.length>0:Zt},ki.prototype.query=function(D,J,q,K,de){return this._query(D,J,q,K,!1,de)},ki.prototype.hitTest=function(D,J,q,K,de){return this._query(D,J,q,K,!0,de)},ki.prototype.hitTestCircle=function(D,J,q,K){return this._queryCircle(D,J,q,!0,K)},ki.prototype._queryCell=function(D,J,q,K,de,ne,we,Ue){var ft=we.seenUids,Zt=this.boxCells[de];if(Zt!==null)for(var hr=this.bboxes,qt=0,Ve=Zt;qt<Ve.length;qt+=1){var et=Ve[qt];if(!ft.box[et]){ft.box[et]=!0;var at=et*4;if(D<=hr[at+2]&&J<=hr[at+3]&&q>=hr[at+0]&&K>=hr[at+1]&&(!Ue||Ue(this.boxKeys[et]))){if(we.hitTest)return ne.push(!0),!0;ne.push({key:this.boxKeys[et],x1:hr[at],y1:hr[at+1],x2:hr[at+2],y2:hr[at+3]})}}}var kt=this.circleCells[de];if(kt!==null)for(var Ot=this.circles,It=0,Bt=kt;It<Bt.length;It+=1){var Rt=Bt[It];if(!ft.circle[Rt]){ft.circle[Rt]=!0;var mt=Rt*3;if(this._circleAndRectCollide(Ot[mt],Ot[mt+1],Ot[mt+2],D,J,q,K)&&(!Ue||Ue(this.circleKeys[Rt]))){if(we.hitTest)return ne.push(!0),!0;var Pt=Ot[mt],ht=Ot[mt+1],cr=Ot[mt+2];ne.push({key:this.circleKeys[Rt],x1:Pt-cr,y1:ht-cr,x2:Pt+cr,y2:ht+cr})}}}},ki.prototype._queryCellCircle=function(D,J,q,K,de,ne,we,Ue){var ft=we.circle,Zt=we.seenUids,hr=this.boxCells[de];if(hr!==null)for(var qt=this.bboxes,Ve=0,et=hr;Ve<et.length;Ve+=1){var at=et[Ve];if(!Zt.box[at]){Zt.box[at]=!0;var kt=at*4;if(this._circleAndRectCollide(ft.x,ft.y,ft.radius,qt[kt+0],qt[kt+1],qt[kt+2],qt[kt+3])&&(!Ue||Ue(this.boxKeys[at])))return ne.push(!0),!0}}var Ot=this.circleCells[de];if(Ot!==null)for(var It=this.circles,Bt=0,Rt=Ot;Bt<Rt.length;Bt+=1){var mt=Rt[Bt];if(!Zt.circle[mt]){Zt.circle[mt]=!0;var Pt=mt*3;if(this._circlesCollide(It[Pt],It[Pt+1],It[Pt+2],ft.x,ft.y,ft.radius)&&(!Ue||Ue(this.circleKeys[mt])))return ne.push(!0),!0}}},ki.prototype._forEachCell=function(D,J,q,K,de,ne,we,Ue){for(var ft=this._convertToXCellCoord(D),Zt=this._convertToYCellCoord(J),hr=this._convertToXCellCoord(q),qt=this._convertToYCellCoord(K),Ve=ft;Ve<=hr;Ve++)for(var et=Zt;et<=qt;et++){var at=this.xCellCount*et+Ve;if(de.call(this,D,J,q,K,at,ne,we,Ue))return}},ki.prototype._convertToXCellCoord=function(D){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(D*this.xScale)))},ki.prototype._convertToYCellCoord=function(D){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(D*this.yScale)))},ki.prototype._circlesCollide=function(D,J,q,K,de,ne){var we=K-D,Ue=de-J,ft=q+ne;return ft*ft>we*we+Ue*Ue},ki.prototype._circleAndRectCollide=function(D,J,q,K,de,ne,we){var Ue=(ne-K)/2,ft=Math.abs(D-(K+Ue));if(ft>Ue+q)return!1;var Zt=(we-de)/2,hr=Math.abs(J-(de+Zt));if(hr>Zt+q)return!1;if(ft<=Ue||hr<=Zt)return!0;var qt=ft-Ue,Ve=hr-Zt;return qt*qt+Ve*Ve<=q*q};function _n(Y,D,J,q,K){var de=i.create();return D?(i.scale(de,de,[1/K,1/K,1]),J||i.rotateZ(de,de,q.angle)):i.multiply(de,q.labelPlaneMatrix,Y),de}function ya(Y,D,J,q,K){if(D){var de=i.clone(Y);return i.scale(de,de,[K,K,1]),J||i.rotateZ(de,de,-q.angle),de}else return q.glCoordMatrix}function Jn(Y,D){var J=[Y.x,Y.y,0,1];Fl(J,J,D);var q=J[3];return{point:new i.Point(J[0]/q,J[1]/q),signedDistanceFromCamera:q}}function Ma(Y,D){return .5+.5*(Y/D)}function _o(Y,D){var J=Y[0]/Y[3],q=Y[1]/Y[3],K=J>=-D[0]&&J<=D[0]&&q>=-D[1]&&q<=D[1];return K}function No(Y,D,J,q,K,de,ne,we){var Ue=q?Y.textSizeData:Y.iconSizeData,ft=i.evaluateSizeForZoom(Ue,J.transform.zoom),Zt=[256/J.width*2+1,256/J.height*2+1],hr=q?Y.text.dynamicLayoutVertexArray:Y.icon.dynamicLayoutVertexArray;hr.clear();for(var qt=Y.lineVertexArray,Ve=q?Y.text.placedSymbolArray:Y.icon.placedSymbolArray,et=J.transform.width/J.transform.height,at=!1,kt=0;kt<Ve.length;kt++){var Ot=Ve.get(kt);if(Ot.hidden||Ot.writingMode===i.WritingMode.vertical&&!at){cl(Ot.numGlyphs,hr);continue}at=!1;var It=[Ot.anchorX,Ot.anchorY,0,1];if(i.transformMat4(It,It,D),!_o(It,Zt)){cl(Ot.numGlyphs,hr);continue}var Bt=It[3],Rt=Ma(J.transform.cameraToCenterDistance,Bt),mt=i.evaluateSizeForFeature(Ue,ft,Ot),Pt=ne?mt/Rt:mt*Rt,ht=new i.Point(Ot.anchorX,Ot.anchorY),cr=Jn(ht,K).point,br={},Nr=Co(Ot,Pt,!1,we,D,K,de,Y.glyphOffsetArray,qt,hr,cr,ht,br,et);at=Nr.useVertical,(Nr.notEnoughRoom||at||Nr.needsFlipping&&Co(Ot,Pt,!0,we,D,K,de,Y.glyphOffsetArray,qt,hr,cr,ht,br,et).notEnoughRoom)&&cl(Ot.numGlyphs,hr)}q?Y.text.dynamicLayoutVertexBuffer.updateData(hr):Y.icon.dynamicLayoutVertexBuffer.updateData(hr)}function po(Y,D,J,q,K,de,ne,we,Ue,ft,Zt){var hr=we.glyphStartIndex+we.numGlyphs,qt=we.lineStartIndex,Ve=we.lineStartIndex+we.lineLength,et=D.getoffsetX(we.glyphStartIndex),at=D.getoffsetX(hr-1),kt=zs(Y*et,J,q,K,de,ne,we.segment,qt,Ve,Ue,ft,Zt);if(!kt)return null;var Ot=zs(Y*at,J,q,K,de,ne,we.segment,qt,Ve,Ue,ft,Zt);return Ot?{first:kt,last:Ot}:null}function Lo(Y,D,J,q){if(Y===i.WritingMode.horizontal){var K=Math.abs(J.y-D.y),de=Math.abs(J.x-D.x)*q;if(K>de)return{useVertical:!0}}return(Y===i.WritingMode.vertical?D.y<J.y:D.x>J.x)?{needsFlipping:!0}:null}function Co(Y,D,J,q,K,de,ne,we,Ue,ft,Zt,hr,qt,Ve){var et=D/24,at=Y.lineOffsetX*et,kt=Y.lineOffsetY*et,Ot;if(Y.numGlyphs>1){var It=Y.glyphStartIndex+Y.numGlyphs,Bt=Y.lineStartIndex,Rt=Y.lineStartIndex+Y.lineLength,mt=po(et,we,at,kt,J,Zt,hr,Y,Ue,de,qt);if(!mt)return{notEnoughRoom:!0};var Pt=Jn(mt.first.point,ne).point,ht=Jn(mt.last.point,ne).point;if(q&&!J){var cr=Lo(Y.writingMode,Pt,ht,Ve);if(cr)return cr}Ot=[mt.first];for(var br=Y.glyphStartIndex+1;br<It-1;br++)Ot.push(zs(et*we.getoffsetX(br),at,kt,J,Zt,hr,Y.segment,Bt,Rt,Ue,de,qt));Ot.push(mt.last)}else{if(q&&!J){var Nr=Jn(hr,K).point,Ri=Y.lineStartIndex+Y.segment+1,hi=new i.Point(Ue.getx(Ri),Ue.gety(Ri)),wi=Jn(hi,K),gn=wi.signedDistanceFromCamera>0?wi.point:Fs(hr,hi,Nr,1,K),tn=Lo(Y.writingMode,Nr,gn,Ve);if(tn)return tn}var Ci=zs(et*we.getoffsetX(Y.glyphStartIndex),at,kt,J,Zt,hr,Y.segment,Y.lineStartIndex,Y.lineStartIndex+Y.lineLength,Ue,de,qt);if(!Ci)return{notEnoughRoom:!0};Ot=[Ci]}for(var qi=0,Vi=Ot;qi<Vi.length;qi+=1){var on=Vi[qi];i.addDynamicAttributes(ft,on.point,on.angle)}return{}}function Fs(Y,D,J,q,K){var de=Jn(Y.add(Y.sub(D)._unit()),K).point,ne=J.sub(de);return J.add(ne._mult(q/ne.mag()))}function zs(Y,D,J,q,K,de,ne,we,Ue,ft,Zt,hr){var qt=q?Y-D:Y+D,Ve=qt>0?1:-1,et=0;q&&(Ve*=-1,et=Math.PI),Ve<0&&(et+=Math.PI);for(var at=Ve>0?we+ne:we+ne+1,kt=K,Ot=K,It=0,Bt=0,Rt=Math.abs(qt),mt=[];It+Bt<=Rt;){if(at+=Ve,at<we||at>=Ue)return null;if(Ot=kt,mt.push(kt),kt=hr[at],kt===void 0){var Pt=new i.Point(ft.getx(at),ft.gety(at)),ht=Jn(Pt,Zt);if(ht.signedDistanceFromCamera>0)kt=hr[at]=ht.point;else{var cr=at-Ve,br=It===0?de:new i.Point(ft.getx(cr),ft.gety(cr));kt=Fs(br,Pt,Ot,Rt-It+1,Zt)}}It+=Bt,Bt=Ot.dist(kt)}var Nr=(Rt-It)/Bt,Ri=kt.sub(Ot),hi=Ri.mult(Nr)._add(Ot);hi._add(Ri._unit()._perp()._mult(J*Ve));var wi=et+Math.atan2(kt.y-Ot.y,kt.x-Ot.x);return mt.push(hi),{point:hi,angle:wi,path:mt}}var ul=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function cl(Y,D){for(var J=0;J<Y;J++){var q=D.length;D.resize(q+4),D.float32.set(ul,q*3)}}function Fl(Y,D,J){var q=D[0],K=D[1];return Y[0]=J[0]*q+J[4]*K+J[12],Y[1]=J[1]*q+J[5]*K+J[13],Y[3]=J[3]*q+J[7]*K+J[15],Y}var cs=100,nl=function(D,J,q){J===void 0&&(J=new ki(D.width+2*cs,D.height+2*cs,25)),q===void 0&&(q=new ki(D.width+2*cs,D.height+2*cs,25)),this.transform=D,this.grid=J,this.ignoredGrid=q,this.pitchfactor=Math.cos(D._pitch)*D.cameraToCenterDistance,this.screenRightBoundary=D.width+cs,this.screenBottomBoundary=D.height+cs,this.gridRightBoundary=D.width+2*cs,this.gridBottomBoundary=D.height+2*cs};nl.prototype.placeCollisionBox=function(D,J,q,K,de){var ne=this.projectAndGetPerspectiveRatio(K,D.anchorPointX,D.anchorPointY),we=q*ne.perspectiveRatio,Ue=D.x1*we+ne.point.x,ft=D.y1*we+ne.point.y,Zt=D.x2*we+ne.point.x,hr=D.y2*we+ne.point.y;return!this.isInsideGrid(Ue,ft,Zt,hr)||!J&&this.grid.hitTest(Ue,ft,Zt,hr,de)?{box:[],offscreen:!1}:{box:[Ue,ft,Zt,hr],offscreen:this.isOffscreen(Ue,ft,Zt,hr)}},nl.prototype.placeCollisionCircles=function(D,J,q,K,de,ne,we,Ue,ft,Zt,hr,qt,Ve){var et=[],at=new i.Point(J.anchorX,J.anchorY),kt=Jn(at,ne),Ot=Ma(this.transform.cameraToCenterDistance,kt.signedDistanceFromCamera),It=Zt?de/Ot:de*Ot,Bt=It/i.ONE_EM,Rt=Jn(at,we).point,mt={},Pt=J.lineOffsetX*Bt,ht=J.lineOffsetY*Bt,cr=po(Bt,K,Pt,ht,!1,Rt,at,J,q,we,mt),br=!1,Nr=!1,Ri=!0;if(cr){for(var hi=qt*.5*Ot+Ve,wi=new i.Point(-cs,-cs),gn=new i.Point(this.screenRightBoundary,this.screenBottomBoundary),tn=new En,Ci=cr.first,qi=cr.last,Vi=[],on=Ci.path.length-1;on>=1;on--)Vi.push(Ci.path[on]);for(var On=1;On<qi.path.length;On++)Vi.push(qi.path[On]);var Ja=hi*2.5;if(Ue){var co=Vi.map(function(kv){return Jn(kv,Ue)});co.some(function(kv){return kv.signedDistanceFromCamera<=0})?Vi=[]:Vi=co.map(function(kv){return kv.point})}var rs=[];if(Vi.length>0){for(var so=Vi[0].clone(),Zo=Vi[0].clone(),ys=1;ys<Vi.length;ys++)so.x=Math.min(so.x,Vi[ys].x),so.y=Math.min(so.y,Vi[ys].y),Zo.x=Math.max(Zo.x,Vi[ys].x),Zo.y=Math.max(Zo.y,Vi[ys].y);so.x>=wi.x&&Zo.x<=gn.x&&so.y>=wi.y&&Zo.y<=gn.y?rs=[Vi]:Zo.x<wi.x||so.x>gn.x||Zo.y<wi.y||so.y>gn.y?rs=[]:rs=i.clipLine([Vi],wi.x,wi.y,gn.x,gn.y)}for(var su=0,Mv=rs;su<Mv.length;su+=1){var Ev=Mv[su];tn.reset(Ev,hi*.25);var wd=0;tn.length<=.5*hi?wd=1:wd=Math.ceil(tn.paddedLength/Ja)+1;for(var Yv=0;Yv<wd;Yv++){var cg=Yv/Math.max(wd-1,1),dp=tn.lerp(cg),Td=dp.x+cs,vp=dp.y+cs;et.push(Td,vp,hi,0);var Vd=Td-hi,Ad=vp-hi,Cv=Td+hi,Kv=vp+hi;if(Ri=Ri&&this.isOffscreen(Vd,Ad,Cv,Kv),Nr=Nr||this.isInsideGrid(Vd,Ad,Cv,Kv),!D&&this.grid.hitTestCircle(Td,vp,hi,hr)&&(br=!0,!ft))return{circles:[],offscreen:!1,collisionDetected:br}}}}return{circles:!ft&&br||!Nr?[]:et,offscreen:Ri,collisionDetected:br}},nl.prototype.queryRenderedSymbols=function(D){if(D.length===0||this.grid.keysLength()===0&&this.ignoredGrid.keysLength()===0)return{};for(var J=[],q=1/0,K=1/0,de=-1/0,ne=-1/0,we=0,Ue=D;we<Ue.length;we+=1){var ft=Ue[we],Zt=new i.Point(ft.x+cs,ft.y+cs);q=Math.min(q,Zt.x),K=Math.min(K,Zt.y),de=Math.max(de,Zt.x),ne=Math.max(ne,Zt.y),J.push(Zt)}for(var hr=this.grid.query(q,K,de,ne).concat(this.ignoredGrid.query(q,K,de,ne)),qt={},Ve={},et=0,at=hr;et<at.length;et+=1){var kt=at[et],Ot=kt.key;if(qt[Ot.bucketInstanceId]===void 0&&(qt[Ot.bucketInstanceId]={}),!qt[Ot.bucketInstanceId][Ot.featureIndex]){var It=[new i.Point(kt.x1,kt.y1),new i.Point(kt.x2,kt.y1),new i.Point(kt.x2,kt.y2),new i.Point(kt.x1,kt.y2)];i.polygonIntersectsPolygon(J,It)&&(qt[Ot.bucketInstanceId][Ot.featureIndex]=!0,Ve[Ot.bucketInstanceId]===void 0&&(Ve[Ot.bucketInstanceId]=[]),Ve[Ot.bucketInstanceId].push(Ot.featureIndex))}}return Ve},nl.prototype.insertCollisionBox=function(D,J,q,K,de){var ne=J?this.ignoredGrid:this.grid,we={bucketInstanceId:q,featureIndex:K,collisionGroupID:de};ne.insert(we,D[0],D[1],D[2],D[3])},nl.prototype.insertCollisionCircles=function(D,J,q,K,de){for(var ne=J?this.ignoredGrid:this.grid,we={bucketInstanceId:q,featureIndex:K,collisionGroupID:de},Ue=0;Ue<D.length;Ue+=4)ne.insertCircle(we,D[Ue],D[Ue+1],D[Ue+2])},nl.prototype.projectAndGetPerspectiveRatio=function(D,J,q){var K=[J,q,0,1];Fl(K,K,D);var de=new i.Point((K[0]/K[3]+1)/2*this.transform.width+cs,(-K[1]/K[3]+1)/2*this.transform.height+cs);return{point:de,perspectiveRatio:.5+.5*(this.transform.cameraToCenterDistance/K[3])}},nl.prototype.isOffscreen=function(D,J,q,K){return q<cs||D>=this.screenRightBoundary||K<cs||J>this.screenBottomBoundary},nl.prototype.isInsideGrid=function(D,J,q,K){return q>=0&&D<this.gridRightBoundary&&K>=0&&J<this.gridBottomBoundary},nl.prototype.getViewportMatrix=function(){var D=i.identity([]);return i.translate(D,D,[-cs,-cs,0]),D};function Ss(Y,D,J){return D*(i.EXTENT/(Y.tileSize*Math.pow(2,J-Y.tileID.overscaledZ)))}var fl=function(D,J,q,K){D?this.opacity=Math.max(0,Math.min(1,D.opacity+(D.placed?J:-J))):this.opacity=K&&q?1:0,this.placed=q};fl.prototype.isHidden=function(){return this.opacity===0&&!this.placed};var Js=function(D,J,q,K,de){this.text=new fl(D?D.text:null,J,q,de),this.icon=new fl(D?D.icon:null,J,K,de)};Js.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var Os=function(D,J,q){this.text=D,this.icon=J,this.skipFade=q},Io=function(){this.invProjMatrix=i.create(),this.viewportMatrix=i.create(),this.circles=[]},us=function(D,J,q,K,de){this.bucketInstanceId=D,this.featureIndex=J,this.sourceLayerIndex=q,this.bucketIndex=K,this.tileID=de},Zl=function(D){this.crossSourceCollisions=D,this.maxGroupID=0,this.collisionGroups={}};Zl.prototype.get=function(D){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[D]){var J=++this.maxGroupID;this.collisionGroups[D]={ID:J,predicate:function(q){return q.collisionGroupID===J}}}return this.collisionGroups[D]};function Su(Y,D,J,q,K){var de=i.getAnchorAlignment(Y),ne=de.horizontalAlign,we=de.verticalAlign,Ue=-(ne-.5)*D,ft=-(we-.5)*J,Zt=i.evaluateVariableOffset(Y,q);return new i.Point(Ue+Zt[0]*K,ft+Zt[1]*K)}function nc(Y,D,J,q,K,de){var ne=Y.x1,we=Y.x2,Ue=Y.y1,ft=Y.y2,Zt=Y.anchorPointX,hr=Y.anchorPointY,qt=new i.Point(D,J);return q&&qt._rotate(K?de:-de),{x1:ne+qt.x,y1:Ue+qt.y,x2:we+qt.x,y2:ft+qt.y,anchorPointX:Zt,anchorPointY:hr}}var ws=function(D,J,q,K){this.transform=D.clone(),this.collisionIndex=new nl(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=J,this.retainedQueryData={},this.collisionGroups=new Zl(q),this.collisionCircleArrays={},this.prevPlacement=K,K&&(K.prevPlacement=void 0),this.placedOrientations={}};ws.prototype.getBucketParts=function(D,J,q,K){var de=q.getBucket(J),ne=q.latestFeatureIndex;if(!(!de||!ne||J.id!==de.layerIds[0])){var we=q.collisionBoxArray,Ue=de.layers[0].layout,ft=Math.pow(2,this.transform.zoom-q.tileID.overscaledZ),Zt=q.tileSize/i.EXTENT,hr=this.transform.calculatePosMatrix(q.tileID.toUnwrapped()),qt=Ue.get(\"text-pitch-alignment\")===\"map\",Ve=Ue.get(\"text-rotation-alignment\")===\"map\",et=Ss(q,1,this.transform.zoom),at=_n(hr,qt,Ve,this.transform,et),kt=null;if(qt){var Ot=ya(hr,qt,Ve,this.transform,et);kt=i.multiply([],this.transform.labelPlaneMatrix,Ot)}this.retainedQueryData[de.bucketInstanceId]=new us(de.bucketInstanceId,ne,de.sourceLayerIndex,de.index,q.tileID);var It={bucket:de,layout:Ue,posMatrix:hr,textLabelPlaneMatrix:at,labelToScreenMatrix:kt,scale:ft,textPixelRatio:Zt,holdingForFade:q.holdingForFade(),collisionBoxArray:we,partiallyEvaluatedTextSize:i.evaluateSizeForZoom(de.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(de.sourceID)};if(K)for(var Bt=0,Rt=de.sortKeyRanges;Bt<Rt.length;Bt+=1){var mt=Rt[Bt],Pt=mt.sortKey,ht=mt.symbolInstanceStart,cr=mt.symbolInstanceEnd;D.push({sortKey:Pt,symbolInstanceStart:ht,symbolInstanceEnd:cr,parameters:It})}else D.push({symbolInstanceStart:0,symbolInstanceEnd:de.symbolInstances.length,parameters:It})}},ws.prototype.attemptAnchorPlacement=function(D,J,q,K,de,ne,we,Ue,ft,Zt,hr,qt,Ve,et,at){var kt=[qt.textOffset0,qt.textOffset1],Ot=Su(D,q,K,kt,de),It=this.collisionIndex.placeCollisionBox(nc(J,Ot.x,Ot.y,ne,we,this.transform.angle),hr,Ue,ft,Zt.predicate);if(at){var Bt=this.collisionIndex.placeCollisionBox(nc(at,Ot.x,Ot.y,ne,we,this.transform.angle),hr,Ue,ft,Zt.predicate);if(Bt.box.length===0)return}if(It.box.length>0){var Rt;return this.prevPlacement&&this.prevPlacement.variableOffsets[qt.crossTileID]&&this.prevPlacement.placements[qt.crossTileID]&&this.prevPlacement.placements[qt.crossTileID].text&&(Rt=this.prevPlacement.variableOffsets[qt.crossTileID].anchor),this.variableOffsets[qt.crossTileID]={textOffset:kt,width:q,height:K,anchor:D,textBoxScale:de,prevAnchor:Rt},this.markUsedJustification(Ve,D,qt,et),Ve.allowVerticalPlacement&&(this.markUsedOrientation(Ve,et,qt),this.placedOrientations[qt.crossTileID]=et),{shift:Ot,placedGlyphBoxes:It}}},ws.prototype.placeLayerBucketPart=function(D,J,q){var K=this,de=D.parameters,ne=de.bucket,we=de.layout,Ue=de.posMatrix,ft=de.textLabelPlaneMatrix,Zt=de.labelToScreenMatrix,hr=de.textPixelRatio,qt=de.holdingForFade,Ve=de.collisionBoxArray,et=de.partiallyEvaluatedTextSize,at=de.collisionGroup,kt=we.get(\"text-optional\"),Ot=we.get(\"icon-optional\"),It=we.get(\"text-allow-overlap\"),Bt=we.get(\"icon-allow-overlap\"),Rt=we.get(\"text-rotation-alignment\")===\"map\",mt=we.get(\"text-pitch-alignment\")===\"map\",Pt=we.get(\"icon-text-fit\")!==\"none\",ht=we.get(\"symbol-z-order\")===\"viewport-y\",cr=It&&(Bt||!ne.hasIconData()||Ot),br=Bt&&(It||!ne.hasTextData()||kt);!ne.collisionArrays&&Ve&&ne.deserializeCollisionBoxes(Ve);var Nr=function(Ci,qi){if(!J[Ci.crossTileID]){if(qt){K.placements[Ci.crossTileID]=new Os(!1,!1,!1);return}var Vi=!1,on=!1,On=!0,Ja=null,co={box:null,offscreen:null},rs={box:null,offscreen:null},so=null,Zo=null,ys=null,su=0,Mv=0,Ev=0;qi.textFeatureIndex?su=qi.textFeatureIndex:Ci.useRuntimeCollisionCircles&&(su=Ci.featureIndex),qi.verticalTextFeatureIndex&&(Mv=qi.verticalTextFeatureIndex);var wd=qi.textBox;if(wd){var Yv=function(vc){var eu=i.WritingMode.horizontal;if(ne.allowVerticalPlacement&&!vc&&K.prevPlacement){var Sd=K.prevPlacement.placedOrientations[Ci.crossTileID];Sd&&(K.placedOrientations[Ci.crossTileID]=Sd,eu=Sd,K.markUsedOrientation(ne,eu,Ci))}return eu},cg=function(vc,eu){if(ne.allowVerticalPlacement&&Ci.numVerticalGlyphVertices>0&&qi.verticalTextBox)for(var Sd=0,sy=ne.writingModes;Sd<sy.length;Sd+=1){var A1=sy[Sd];if(A1===i.WritingMode.vertical?(co=eu(),rs=co):co=vc(),co&&co.box&&co.box.length)break}else co=vc()};if(we.get(\"text-variable-anchor\")){var Vd=we.get(\"text-variable-anchor\");if(K.prevPlacement&&K.prevPlacement.variableOffsets[Ci.crossTileID]){var Ad=K.prevPlacement.variableOffsets[Ci.crossTileID];Vd.indexOf(Ad.anchor)>0&&(Vd=Vd.filter(function(vc){return vc!==Ad.anchor}),Vd.unshift(Ad.anchor))}var Cv=function(vc,eu,Sd){for(var sy=vc.x2-vc.x1,A1=vc.y2-vc.y1,wu=Ci.textBoxScale,Nx=Pt&&!Bt?eu:null,am={box:[],offscreen:!1},Mw=It?Vd.length*2:Vd.length,Lv=0;Lv<Mw;++Lv){var om=Vd[Lv%Vd.length],Ew=Lv>=Vd.length,Ux=K.attemptAnchorPlacement(om,vc,sy,A1,wu,Rt,mt,hr,Ue,at,Ew,Ci,ne,Sd,Nx);if(Ux&&(am=Ux.placedGlyphBoxes,am&&am.box&&am.box.length)){Vi=!0,Ja=Ux.shift;break}}return am},Kv=function(){return Cv(wd,qi.iconBox,i.WritingMode.horizontal)},kv=function(){var vc=qi.verticalTextBox,eu=co&&co.box&&co.box.length;return ne.allowVerticalPlacement&&!eu&&Ci.numVerticalGlyphVertices>0&&vc?Cv(vc,qi.verticalIconBox,i.WritingMode.vertical):{box:null,offscreen:null}};cg(Kv,kv),co&&(Vi=co.box,On=co.offscreen);var ny=Yv(co&&co.box);if(!Vi&&K.prevPlacement){var fg=K.prevPlacement.variableOffsets[Ci.crossTileID];fg&&(K.variableOffsets[Ci.crossTileID]=fg,K.markUsedJustification(ne,fg.anchor,Ci,ny))}}else{var dp=function(vc,eu){var Sd=K.collisionIndex.placeCollisionBox(vc,It,hr,Ue,at.predicate);return Sd&&Sd.box&&Sd.box.length&&(K.markUsedOrientation(ne,eu,Ci),K.placedOrientations[Ci.crossTileID]=eu),Sd},Td=function(){return dp(wd,i.WritingMode.horizontal)},vp=function(){var vc=qi.verticalTextBox;return ne.allowVerticalPlacement&&Ci.numVerticalGlyphVertices>0&&vc?dp(vc,i.WritingMode.vertical):{box:null,offscreen:null}};cg(Td,vp),Yv(co&&co.box&&co.box.length)}}if(so=co,Vi=so&&so.box&&so.box.length>0,On=so&&so.offscreen,Ci.useRuntimeCollisionCircles){var oh=ne.text.placedSymbolArray.get(Ci.centerJustifiedTextSymbolIndex),hg=i.evaluateSizeForFeature(ne.textSizeData,et,oh),ay=we.get(\"text-padding\"),Gh=Ci.collisionCircleDiameter;Zo=K.collisionIndex.placeCollisionCircles(It,oh,ne.lineVertexArray,ne.glyphOffsetArray,hg,Ue,ft,Zt,q,mt,at.predicate,Gh,ay),Vi=It||Zo.circles.length>0&&!Zo.collisionDetected,On=On&&Zo.offscreen}if(qi.iconFeatureIndex&&(Ev=qi.iconFeatureIndex),qi.iconBox){var rm=function(vc){var eu=Pt&&Ja?nc(vc,Ja.x,Ja.y,Rt,mt,K.transform.angle):vc;return K.collisionIndex.placeCollisionBox(eu,Bt,hr,Ue,at.predicate)};rs&&rs.box&&rs.box.length&&qi.verticalIconBox?(ys=rm(qi.verticalIconBox),on=ys.box.length>0):(ys=rm(qi.iconBox),on=ys.box.length>0),On=On&&ys.offscreen}var w1=kt||Ci.numHorizontalGlyphVertices===0&&Ci.numVerticalGlyphVertices===0,T1=Ot||Ci.numIconVertices===0;if(!w1&&!T1?on=Vi=on&&Vi:T1?w1||(on=on&&Vi):Vi=on&&Vi,Vi&&so&&so.box&&(rs&&rs.box&&Mv?K.collisionIndex.insertCollisionBox(so.box,we.get(\"text-ignore-placement\"),ne.bucketInstanceId,Mv,at.ID):K.collisionIndex.insertCollisionBox(so.box,we.get(\"text-ignore-placement\"),ne.bucketInstanceId,su,at.ID)),on&&ys&&K.collisionIndex.insertCollisionBox(ys.box,we.get(\"icon-ignore-placement\"),ne.bucketInstanceId,Ev,at.ID),Zo&&(Vi&&K.collisionIndex.insertCollisionCircles(Zo.circles,we.get(\"text-ignore-placement\"),ne.bucketInstanceId,su,at.ID),q)){var oy=ne.bucketInstanceId,im=K.collisionCircleArrays[oy];im===void 0&&(im=K.collisionCircleArrays[oy]=new Io);for(var nm=0;nm<Zo.circles.length;nm+=4)im.circles.push(Zo.circles[nm+0]),im.circles.push(Zo.circles[nm+1]),im.circles.push(Zo.circles[nm+2]),im.circles.push(Zo.collisionDetected?1:0)}K.placements[Ci.crossTileID]=new Os(Vi||cr,on||br,On||ne.justReloaded),J[Ci.crossTileID]=!0}};if(ht)for(var Ri=ne.getSortedSymbolIndexes(this.transform.angle),hi=Ri.length-1;hi>=0;--hi){var wi=Ri[hi];Nr(ne.symbolInstances.get(wi),ne.collisionArrays[wi])}else for(var gn=D.symbolInstanceStart;gn<D.symbolInstanceEnd;gn++)Nr(ne.symbolInstances.get(gn),ne.collisionArrays[gn]);if(q&&ne.bucketInstanceId in this.collisionCircleArrays){var tn=this.collisionCircleArrays[ne.bucketInstanceId];i.invert(tn.invProjMatrix,Ue),tn.viewportMatrix=this.collisionIndex.getViewportMatrix()}ne.justReloaded=!1},ws.prototype.markUsedJustification=function(D,J,q,K){var de={left:q.leftJustifiedTextSymbolIndex,center:q.centerJustifiedTextSymbolIndex,right:q.rightJustifiedTextSymbolIndex},ne;K===i.WritingMode.vertical?ne=q.verticalPlacedTextSymbolIndex:ne=de[i.getAnchorJustification(J)];for(var we=[q.leftJustifiedTextSymbolIndex,q.centerJustifiedTextSymbolIndex,q.rightJustifiedTextSymbolIndex,q.verticalPlacedTextSymbolIndex],Ue=0,ft=we;Ue<ft.length;Ue+=1){var Zt=ft[Ue];Zt>=0&&(ne>=0&&Zt!==ne?D.text.placedSymbolArray.get(Zt).crossTileID=0:D.text.placedSymbolArray.get(Zt).crossTileID=q.crossTileID)}},ws.prototype.markUsedOrientation=function(D,J,q){for(var K=J===i.WritingMode.horizontal||J===i.WritingMode.horizontalOnly?J:0,de=J===i.WritingMode.vertical?J:0,ne=[q.leftJustifiedTextSymbolIndex,q.centerJustifiedTextSymbolIndex,q.rightJustifiedTextSymbolIndex],we=0,Ue=ne;we<Ue.length;we+=1){var ft=Ue[we];D.text.placedSymbolArray.get(ft).placedOrientation=K}q.verticalPlacedTextSymbolIndex&&(D.text.placedSymbolArray.get(q.verticalPlacedTextSymbolIndex).placedOrientation=de)},ws.prototype.commit=function(D){this.commitTime=D,this.zoomAtLastRecencyCheck=this.transform.zoom;var J=this.prevPlacement,q=!1;this.prevZoomAdjustment=J?J.zoomAdjustment(this.transform.zoom):0;var K=J?J.symbolFadeChange(D):1,de=J?J.opacities:{},ne=J?J.variableOffsets:{},we=J?J.placedOrientations:{};for(var Ue in this.placements){var ft=this.placements[Ue],Zt=de[Ue];Zt?(this.opacities[Ue]=new Js(Zt,K,ft.text,ft.icon),q=q||ft.text!==Zt.text.placed||ft.icon!==Zt.icon.placed):(this.opacities[Ue]=new Js(null,K,ft.text,ft.icon,ft.skipFade),q=q||ft.text||ft.icon)}for(var hr in de){var qt=de[hr];if(!this.opacities[hr]){var Ve=new Js(qt,K,!1,!1);Ve.isHidden()||(this.opacities[hr]=Ve,q=q||qt.text.placed||qt.icon.placed)}}for(var et in ne)!this.variableOffsets[et]&&this.opacities[et]&&!this.opacities[et].isHidden()&&(this.variableOffsets[et]=ne[et]);for(var at in we)!this.placedOrientations[at]&&this.opacities[at]&&!this.opacities[at].isHidden()&&(this.placedOrientations[at]=we[at]);q?this.lastPlacementChangeTime=D:typeof this.lastPlacementChangeTime!=\"number\"&&(this.lastPlacementChangeTime=J?J.lastPlacementChangeTime:D)},ws.prototype.updateLayerOpacities=function(D,J){for(var q={},K=0,de=J;K<de.length;K+=1){var ne=de[K],we=ne.getBucket(D);we&&ne.latestFeatureIndex&&D.id===we.layerIds[0]&&this.updateBucketOpacities(we,q,ne.collisionBoxArray)}},ws.prototype.updateBucketOpacities=function(D,J,q){var K=this;D.hasTextData()&&D.text.opacityVertexArray.clear(),D.hasIconData()&&D.icon.opacityVertexArray.clear(),D.hasIconCollisionBoxData()&&D.iconCollisionBox.collisionVertexArray.clear(),D.hasTextCollisionBoxData()&&D.textCollisionBox.collisionVertexArray.clear();var de=D.layers[0].layout,ne=new Js(null,0,!1,!1,!0),we=de.get(\"text-allow-overlap\"),Ue=de.get(\"icon-allow-overlap\"),ft=de.get(\"text-variable-anchor\"),Zt=de.get(\"text-rotation-alignment\")===\"map\",hr=de.get(\"text-pitch-alignment\")===\"map\",qt=de.get(\"icon-text-fit\")!==\"none\",Ve=new Js(null,0,we&&(Ue||!D.hasIconData()||de.get(\"icon-optional\")),Ue&&(we||!D.hasTextData()||de.get(\"text-optional\")),!0);!D.collisionArrays&&q&&(D.hasIconCollisionBoxData()||D.hasTextCollisionBoxData())&&D.deserializeCollisionBoxes(q);for(var et=function(It,Bt,Rt){for(var mt=0;mt<Bt/4;mt++)It.opacityVertexArray.emplaceBack(Rt)},at=function(It){var Bt=D.symbolInstances.get(It),Rt=Bt.numHorizontalGlyphVertices,mt=Bt.numVerticalGlyphVertices,Pt=Bt.crossTileID,ht=J[Pt],cr=K.opacities[Pt];ht?cr=ne:cr||(cr=Ve,K.opacities[Pt]=cr),J[Pt]=!0;var br=Rt>0||mt>0,Nr=Bt.numIconVertices>0,Ri=K.placedOrientations[Bt.crossTileID],hi=Ri===i.WritingMode.vertical,wi=Ri===i.WritingMode.horizontal||Ri===i.WritingMode.horizontalOnly;if(br){var gn=ac(cr.text),tn=hi?aa:gn;et(D.text,Rt,tn);var Ci=wi?aa:gn;et(D.text,mt,Ci);var qi=cr.text.isHidden();[Bt.rightJustifiedTextSymbolIndex,Bt.centerJustifiedTextSymbolIndex,Bt.leftJustifiedTextSymbolIndex].forEach(function(Ev){Ev>=0&&(D.text.placedSymbolArray.get(Ev).hidden=qi||hi?1:0)}),Bt.verticalPlacedTextSymbolIndex>=0&&(D.text.placedSymbolArray.get(Bt.verticalPlacedTextSymbolIndex).hidden=qi||wi?1:0);var Vi=K.variableOffsets[Bt.crossTileID];Vi&&K.markUsedJustification(D,Vi.anchor,Bt,Ri);var on=K.placedOrientations[Bt.crossTileID];on&&(K.markUsedJustification(D,\"left\",Bt,on),K.markUsedOrientation(D,on,Bt))}if(Nr){var On=ac(cr.icon),Ja=!(qt&&Bt.verticalPlacedIconSymbolIndex&&hi);if(Bt.placedIconSymbolIndex>=0){var co=Ja?On:aa;et(D.icon,Bt.numIconVertices,co),D.icon.placedSymbolArray.get(Bt.placedIconSymbolIndex).hidden=cr.icon.isHidden()}if(Bt.verticalPlacedIconSymbolIndex>=0){var rs=Ja?aa:On;et(D.icon,Bt.numVerticalIconVertices,rs),D.icon.placedSymbolArray.get(Bt.verticalPlacedIconSymbolIndex).hidden=cr.icon.isHidden()}}if(D.hasIconCollisionBoxData()||D.hasTextCollisionBoxData()){var so=D.collisionArrays[It];if(so){var Zo=new i.Point(0,0);if(so.textBox||so.verticalTextBox){var ys=!0;if(ft){var su=K.variableOffsets[Pt];su?(Zo=Su(su.anchor,su.width,su.height,su.textOffset,su.textBoxScale),Zt&&Zo._rotate(hr?K.transform.angle:-K.transform.angle)):ys=!1}so.textBox&&Fn(D.textCollisionBox.collisionVertexArray,cr.text.placed,!ys||hi,Zo.x,Zo.y),so.verticalTextBox&&Fn(D.textCollisionBox.collisionVertexArray,cr.text.placed,!ys||wi,Zo.x,Zo.y)}var Mv=!!(!wi&&so.verticalIconBox);so.iconBox&&Fn(D.iconCollisionBox.collisionVertexArray,cr.icon.placed,Mv,qt?Zo.x:0,qt?Zo.y:0),so.verticalIconBox&&Fn(D.iconCollisionBox.collisionVertexArray,cr.icon.placed,!Mv,qt?Zo.x:0,qt?Zo.y:0)}}},kt=0;kt<D.symbolInstances.length;kt++)at(kt);if(D.sortFeatures(this.transform.angle),this.retainedQueryData[D.bucketInstanceId]&&(this.retainedQueryData[D.bucketInstanceId].featureSortOrder=D.featureSortOrder),D.hasTextData()&&D.text.opacityVertexBuffer&&D.text.opacityVertexBuffer.updateData(D.text.opacityVertexArray),D.hasIconData()&&D.icon.opacityVertexBuffer&&D.icon.opacityVertexBuffer.updateData(D.icon.opacityVertexArray),D.hasIconCollisionBoxData()&&D.iconCollisionBox.collisionVertexBuffer&&D.iconCollisionBox.collisionVertexBuffer.updateData(D.iconCollisionBox.collisionVertexArray),D.hasTextCollisionBoxData()&&D.textCollisionBox.collisionVertexBuffer&&D.textCollisionBox.collisionVertexBuffer.updateData(D.textCollisionBox.collisionVertexArray),D.bucketInstanceId in this.collisionCircleArrays){var Ot=this.collisionCircleArrays[D.bucketInstanceId];D.placementInvProjMatrix=Ot.invProjMatrix,D.placementViewportMatrix=Ot.viewportMatrix,D.collisionCircleArray=Ot.circles,delete this.collisionCircleArrays[D.bucketInstanceId]}},ws.prototype.symbolFadeChange=function(D){return this.fadeDuration===0?1:(D-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},ws.prototype.zoomAdjustment=function(D){return Math.max(0,(this.transform.zoom-D)/1.5)},ws.prototype.hasTransitions=function(D){return this.stale||D-this.lastPlacementChangeTime<this.fadeDuration},ws.prototype.stillRecent=function(D,J){var q=this.zoomAtLastRecencyCheck===J?1-this.zoomAdjustment(J):1;return this.zoomAtLastRecencyCheck=J,this.commitTime+this.fadeDuration*q>D},ws.prototype.setStale=function(){this.stale=!0};function Fn(Y,D,J,q,K){Y.emplaceBack(D?1:0,J?1:0,q||0,K||0),Y.emplaceBack(D?1:0,J?1:0,q||0,K||0),Y.emplaceBack(D?1:0,J?1:0,q||0,K||0),Y.emplaceBack(D?1:0,J?1:0,q||0,K||0)}var _a=Math.pow(2,25),Vu=Math.pow(2,24),zl=Math.pow(2,17),xo=Math.pow(2,16),Yl=Math.pow(2,9),Us=Math.pow(2,8),Hl=Math.pow(2,1);function ac(Y){if(Y.opacity===0&&!Y.placed)return 0;if(Y.opacity===1&&Y.placed)return 4294967295;var D=Y.placed?1:0,J=Math.floor(Y.opacity*127);return J*_a+D*Vu+J*zl+D*xo+J*Yl+D*Us+J*Hl+D}var aa=0,Oo=function(D){this._sortAcrossTiles=D.layout.get(\"symbol-z-order\")!==\"viewport-y\"&&D.layout.get(\"symbol-sort-key\").constantOr(1)!==void 0,this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Oo.prototype.continuePlacement=function(D,J,q,K,de){for(var ne=this._bucketParts;this._currentTileIndex<D.length;){var we=D[this._currentTileIndex];if(J.getBucketParts(ne,K,we,this._sortAcrossTiles),this._currentTileIndex++,de())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,ne.sort(function(ft,Zt){return ft.sortKey-Zt.sortKey}));this._currentPartIndex<ne.length;){var Ue=ne[this._currentPartIndex];if(J.placeLayerBucketPart(Ue,this._seenCrossTileIDs,q),this._currentPartIndex++,de())return!0}return!1};var qo=function(D,J,q,K,de,ne,we){this.placement=new ws(D,de,ne,we),this._currentPlacementIndex=J.length-1,this._forceFullPlacement=q,this._showCollisionBoxes=K,this._done=!1};qo.prototype.isDone=function(){return this._done},qo.prototype.continuePlacement=function(D,J,q){for(var K=this,de=i.browser.now(),ne=function(){var hr=i.browser.now()-de;return K._forceFullPlacement?!1:hr>2};this._currentPlacementIndex>=0;){var we=D[this._currentPlacementIndex],Ue=J[we],ft=this.placement.collisionIndex.transform.zoom;if(Ue.type===\"symbol\"&&(!Ue.minzoom||Ue.minzoom<=ft)&&(!Ue.maxzoom||Ue.maxzoom>ft)){this._inProgressLayer||(this._inProgressLayer=new Oo(Ue));var Zt=this._inProgressLayer.continuePlacement(q[Ue.source],this.placement,this._showCollisionBoxes,Ue,ne);if(Zt)return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},qo.prototype.commit=function(D){return this.placement.commit(D),this.placement};var Ol=512/i.EXTENT/2,Pc=function(D,J,q){this.tileID=D,this.indexedSymbolInstances={},this.bucketInstanceId=q;for(var K=0;K<J.length;K++){var de=J.get(K),ne=de.key;this.indexedSymbolInstances[ne]||(this.indexedSymbolInstances[ne]=[]),this.indexedSymbolInstances[ne].push({crossTileID:de.crossTileID,coord:this.getScaledCoordinates(de,D)})}};Pc.prototype.getScaledCoordinates=function(D,J){var q=J.canonical.z-this.tileID.canonical.z,K=Ol/Math.pow(2,q);return{x:Math.floor((J.canonical.x*i.EXTENT+D.anchorX)*K),y:Math.floor((J.canonical.y*i.EXTENT+D.anchorY)*K)}},Pc.prototype.findMatches=function(D,J,q){for(var K=this.tileID.canonical.z<J.canonical.z?1:Math.pow(2,this.tileID.canonical.z-J.canonical.z),de=0;de<D.length;de++){var ne=D.get(de);if(!ne.crossTileID){var we=this.indexedSymbolInstances[ne.key];if(we)for(var Ue=this.getScaledCoordinates(ne,J),ft=0,Zt=we;ft<Zt.length;ft+=1){var hr=Zt[ft];if(Math.abs(hr.coord.x-Ue.x)<=K&&Math.abs(hr.coord.y-Ue.y)<=K&&!q[hr.crossTileID]){q[hr.crossTileID]=!0,ne.crossTileID=hr.crossTileID;break}}}}};var Do=function(){this.maxCrossTileID=0};Do.prototype.generate=function(){return++this.maxCrossTileID};var rf=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};rf.prototype.handleWrapJump=function(D){var J=Math.round((D-this.lng)/360);if(J!==0)for(var q in this.indexes){var K=this.indexes[q],de={};for(var ne in K){var we=K[ne];we.tileID=we.tileID.unwrapTo(we.tileID.wrap+J),de[we.tileID.key]=we}this.indexes[q]=de}this.lng=D},rf.prototype.addBucket=function(D,J,q){if(this.indexes[D.overscaledZ]&&this.indexes[D.overscaledZ][D.key]){if(this.indexes[D.overscaledZ][D.key].bucketInstanceId===J.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(D.overscaledZ,this.indexes[D.overscaledZ][D.key])}for(var K=0;K<J.symbolInstances.length;K++){var de=J.symbolInstances.get(K);de.crossTileID=0}this.usedCrossTileIDs[D.overscaledZ]||(this.usedCrossTileIDs[D.overscaledZ]={});var ne=this.usedCrossTileIDs[D.overscaledZ];for(var we in this.indexes){var Ue=this.indexes[we];if(Number(we)>D.overscaledZ)for(var ft in Ue){var Zt=Ue[ft];Zt.tileID.isChildOf(D)&&Zt.findMatches(J.symbolInstances,D,ne)}else{var hr=D.scaledTo(Number(we)),qt=Ue[hr.key];qt&&qt.findMatches(J.symbolInstances,D,ne)}}for(var Ve=0;Ve<J.symbolInstances.length;Ve++){var et=J.symbolInstances.get(Ve);et.crossTileID||(et.crossTileID=q.generate(),ne[et.crossTileID]=!0)}return this.indexes[D.overscaledZ]===void 0&&(this.indexes[D.overscaledZ]={}),this.indexes[D.overscaledZ][D.key]=new Pc(D,J.symbolInstances,J.bucketInstanceId),!0},rf.prototype.removeBucketCrossTileIDs=function(D,J){for(var q in J.indexedSymbolInstances)for(var K=0,de=J.indexedSymbolInstances[q];K<de.length;K+=1){var ne=de[K];delete this.usedCrossTileIDs[D][ne.crossTileID]}},rf.prototype.removeStaleBuckets=function(D){var J=!1;for(var q in this.indexes){var K=this.indexes[q];for(var de in K)D[K[de].bucketInstanceId]||(this.removeBucketCrossTileIDs(q,K[de]),delete K[de],J=!0)}return J};var Uf=function(){this.layerIndexes={},this.crossTileIDs=new Do,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Uf.prototype.addLayer=function(D,J,q){var K=this.layerIndexes[D.id];K===void 0&&(K=this.layerIndexes[D.id]=new rf);var de=!1,ne={};K.handleWrapJump(q);for(var we=0,Ue=J;we<Ue.length;we+=1){var ft=Ue[we],Zt=ft.getBucket(D);!Zt||D.id!==Zt.layerIds[0]||(Zt.bucketInstanceId||(Zt.bucketInstanceId=++this.maxBucketInstanceId),K.addBucket(ft.tileID,Zt,this.crossTileIDs)&&(de=!0),ne[Zt.bucketInstanceId]=!0)}return K.removeStaleBuckets(ne)&&(de=!0),de},Uf.prototype.pruneUnusedLayers=function(D){var J={};D.forEach(function(K){J[K]=!0});for(var q in this.layerIndexes)J[q]||delete this.layerIndexes[q]};var ml=function(Y,D){return i.emitValidationErrors(Y,D&&D.filter(function(J){return J.identifier!==\"source.canvas\"}))},Zc=i.pick(da,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Kl=i.pick(da,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),qs=Wo(),yu=function(Y){function D(J,q){var K=this;q===void 0&&(q={}),Y.call(this),this.map=J,this.dispatcher=new Z(Ba(),this),this.imageManager=new C,this.imageManager.setEventedParent(this),this.glyphManager=new P(J._requestManager,q.localIdeographFontFamily),this.lineAtlas=new G(256,512),this.crossTileSymbolIndex=new Uf,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new i.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",i.getReferrer());var de=this;this._rtlTextPluginCallback=D.registerForPluginStateChange(function(ne){var we={pluginStatus:ne.pluginStatus,pluginURL:ne.pluginURL};de.dispatcher.broadcast(\"syncRTLPluginState\",we,function(Ue,ft){if(i.triggerPluginCompletionEvent(Ue),ft){var Zt=ft.every(function(qt){return qt});if(Zt)for(var hr in de.sourceCaches)de.sourceCaches[hr].reload()}})}),this.on(\"data\",function(ne){if(!(ne.dataType!==\"source\"||ne.sourceDataType!==\"metadata\")){var we=K.sourceCaches[ne.sourceId];if(we){var Ue=we.getSource();if(!(!Ue||!Ue.vectorLayerIds))for(var ft in K._layers){var Zt=K._layers[ft];Zt.source===Ue.id&&K._validateLayer(Zt)}}}})}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.loadURL=function(q,K){var de=this;K===void 0&&(K={}),this.fire(new i.Event(\"dataloading\",{dataType:\"style\"}));var ne=typeof K.validate==\"boolean\"?K.validate:!i.isMapboxURL(q);q=this.map._requestManager.normalizeStyleURL(q,K.accessToken);var we=this.map._requestManager.transformRequest(q,i.ResourceType.Style);this._request=i.getJSON(we,function(Ue,ft){de._request=null,Ue?de.fire(new i.ErrorEvent(Ue)):ft&&de._load(ft,ne)})},D.prototype.loadJSON=function(q,K){var de=this;K===void 0&&(K={}),this.fire(new i.Event(\"dataloading\",{dataType:\"style\"})),this._request=i.browser.frame(function(){de._request=null,de._load(q,K.validate!==!1)})},D.prototype.loadEmpty=function(){this.fire(new i.Event(\"dataloading\",{dataType:\"style\"})),this._load(qs,!1)},D.prototype._load=function(q,K){if(!(K&&ml(this,i.validateStyle(q)))){this._loaded=!0,this.stylesheet=q;for(var de in q.sources)this.addSource(de,q.sources[de],{validate:!1});q.sprite?this._loadSprite(q.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(q.glyphs);var ne=Fa(this.stylesheet.layers);this._order=ne.map(function(Zt){return Zt.id}),this._layers={},this._serializedLayers={};for(var we=0,Ue=ne;we<Ue.length;we+=1){var ft=Ue[we];ft=i.createStyleLayer(ft),ft.setEventedParent(this,{layer:{id:ft.id}}),this._layers[ft.id]=ft,this._serializedLayers[ft.id]=ft.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new V(this.stylesheet.light),this.fire(new i.Event(\"data\",{dataType:\"style\"})),this.fire(new i.Event(\"style.load\"))}},D.prototype._loadSprite=function(q){var K=this;this._spriteRequest=x(q,this.map._requestManager,function(de,ne){if(K._spriteRequest=null,de)K.fire(new i.ErrorEvent(de));else if(ne)for(var we in ne)K.imageManager.addImage(we,ne[we]);K.imageManager.setLoaded(!0),K._availableImages=K.imageManager.listImages(),K.dispatcher.broadcast(\"setImages\",K._availableImages),K.fire(new i.Event(\"data\",{dataType:\"style\"}))})},D.prototype._validateLayer=function(q){var K=this.sourceCaches[q.source];if(K){var de=q.sourceLayer;if(de){var ne=K.getSource();(ne.type===\"geojson\"||ne.vectorLayerIds&&ne.vectorLayerIds.indexOf(de)===-1)&&this.fire(new i.ErrorEvent(new Error('Source layer \"'+de+'\" does not exist on source \"'+ne.id+'\" as specified by style layer \"'+q.id+'\"')))}}},D.prototype.loaded=function(){if(!this._loaded||Object.keys(this._updatedSources).length)return!1;for(var q in this.sourceCaches)if(!this.sourceCaches[q].loaded())return!1;return!!this.imageManager.isLoaded()},D.prototype._serializeLayers=function(q){for(var K=[],de=0,ne=q;de<ne.length;de+=1){var we=ne[de],Ue=this._layers[we];Ue.type!==\"custom\"&&K.push(Ue.serialize())}return K},D.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var q in this.sourceCaches)if(this.sourceCaches[q].hasTransition())return!0;for(var K in this._layers)if(this._layers[K].hasTransition())return!0;return!1},D.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},D.prototype.update=function(q){if(this._loaded){var K=this._changed;if(this._changed){var de=Object.keys(this._updatedLayers),ne=Object.keys(this._removedLayers);(de.length||ne.length)&&this._updateWorkerLayers(de,ne);for(var we in this._updatedSources){var Ue=this._updatedSources[we];Ue===\"reload\"?this._reloadSource(we):Ue===\"clear\"&&this._clearSource(we)}this._updateTilesForChangedImages();for(var ft in this._updatedPaintProps)this._layers[ft].updateTransitions(q);this.light.updateTransitions(q),this._resetUpdates()}var Zt={};for(var hr in this.sourceCaches){var qt=this.sourceCaches[hr];Zt[hr]=qt.used,qt.used=!1}for(var Ve=0,et=this._order;Ve<et.length;Ve+=1){var at=et[Ve],kt=this._layers[at];kt.recalculate(q,this._availableImages),!kt.isHidden(q.zoom)&&kt.source&&(this.sourceCaches[kt.source].used=!0)}for(var Ot in Zt){var It=this.sourceCaches[Ot];Zt[Ot]!==It.used&&It.fire(new i.Event(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:Ot}))}this.light.recalculate(q),this.z=q.zoom,K&&this.fire(new i.Event(\"data\",{dataType:\"style\"}))}},D.prototype._updateTilesForChangedImages=function(){var q=Object.keys(this._changedImages);if(q.length){for(var K in this.sourceCaches)this.sourceCaches[K].reloadTilesForDependencies([\"icons\",\"patterns\"],q);this._changedImages={}}},D.prototype._updateWorkerLayers=function(q,K){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(q),removedIds:K})},D.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},D.prototype.setState=function(q){var K=this;if(this._checkLoaded(),ml(this,i.validateStyle(q)))return!1;q=i.clone$1(q),q.layers=Fa(q.layers);var de=Sn(this.serialize(),q).filter(function(we){return!(we.command in Kl)});if(de.length===0)return!1;var ne=de.filter(function(we){return!(we.command in Zc)});if(ne.length>0)throw new Error(\"Unimplemented: \"+ne.map(function(we){return we.command}).join(\", \")+\".\");return de.forEach(function(we){we.command!==\"setTransition\"&&K[we.command].apply(K,we.args)}),this.stylesheet=q,!0},D.prototype.addImage=function(q,K){if(this.getImage(q))return this.fire(new i.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(q,K),this._afterImageUpdated(q)},D.prototype.updateImage=function(q,K){this.imageManager.updateImage(q,K)},D.prototype.getImage=function(q){return this.imageManager.getImage(q)},D.prototype.removeImage=function(q){if(!this.getImage(q))return this.fire(new i.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(q),this._afterImageUpdated(q)},D.prototype._afterImageUpdated=function(q){this._availableImages=this.imageManager.listImages(),this._changedImages[q]=!0,this._changed=!0,this.dispatcher.broadcast(\"setImages\",this._availableImages),this.fire(new i.Event(\"data\",{dataType:\"style\"}))},D.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},D.prototype.addSource=function(q,K,de){var ne=this;if(de===void 0&&(de={}),this._checkLoaded(),this.sourceCaches[q]!==void 0)throw new Error(\"There is already a source with this ID\");if(!K.type)throw new Error(\"The type property must be defined, but only the following properties were given: \"+Object.keys(K).join(\", \")+\".\");var we=[\"vector\",\"raster\",\"geojson\",\"video\",\"image\"],Ue=we.indexOf(K.type)>=0;if(!(Ue&&this._validate(i.validateStyle.source,\"sources.\"+q,K,null,de))){this.map&&this.map._collectResourceTiming&&(K.collectResourceTiming=!0);var ft=this.sourceCaches[q]=new ri(q,K,this.dispatcher);ft.style=this,ft.setEventedParent(this,function(){return{isSourceLoaded:ne.loaded(),source:ft.serialize(),sourceId:q}}),ft.onAdd(this.map),this._changed=!0}},D.prototype.removeSource=function(q){if(this._checkLoaded(),this.sourceCaches[q]===void 0)throw new Error(\"There is no source with this ID\");for(var K in this._layers)if(this._layers[K].source===q)return this.fire(new i.ErrorEvent(new Error('Source \"'+q+'\" cannot be removed while layer \"'+K+'\" is using it.')));var de=this.sourceCaches[q];delete this.sourceCaches[q],delete this._updatedSources[q],de.fire(new i.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:q})),de.setEventedParent(null),de.clearTiles(),de.onRemove&&de.onRemove(this.map),this._changed=!0},D.prototype.setGeoJSONSourceData=function(q,K){this._checkLoaded();var de=this.sourceCaches[q].getSource();de.setData(K),this._changed=!0},D.prototype.getSource=function(q){return this.sourceCaches[q]&&this.sourceCaches[q].getSource()},D.prototype.addLayer=function(q,K,de){de===void 0&&(de={}),this._checkLoaded();var ne=q.id;if(this.getLayer(ne)){this.fire(new i.ErrorEvent(new Error('Layer with id \"'+ne+'\" already exists on this map')));return}var we;if(q.type===\"custom\"){if(ml(this,i.validateCustomStyleLayer(q)))return;we=i.createStyleLayer(q)}else{if(typeof q.source==\"object\"&&(this.addSource(ne,q.source),q=i.clone$1(q),q=i.extend(q,{source:ne})),this._validate(i.validateStyle.layer,\"layers.\"+ne,q,{arrayIndex:-1},de))return;we=i.createStyleLayer(q),this._validateLayer(we),we.setEventedParent(this,{layer:{id:ne}}),this._serializedLayers[we.id]=we.serialize()}var Ue=K?this._order.indexOf(K):this._order.length;if(K&&Ue===-1){this.fire(new i.ErrorEvent(new Error('Layer with id \"'+K+'\" does not exist on this map.')));return}if(this._order.splice(Ue,0,ne),this._layerOrderChanged=!0,this._layers[ne]=we,this._removedLayers[ne]&&we.source&&we.type!==\"custom\"){var ft=this._removedLayers[ne];delete this._removedLayers[ne],ft.type!==we.type?this._updatedSources[we.source]=\"clear\":(this._updatedSources[we.source]=\"reload\",this.sourceCaches[we.source].pause())}this._updateLayer(we),we.onAdd&&we.onAdd(this.map)},D.prototype.moveLayer=function(q,K){this._checkLoaded(),this._changed=!0;var de=this._layers[q];if(!de){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+q+\"' does not exist in the map's style and cannot be moved.\")));return}if(q!==K){var ne=this._order.indexOf(q);this._order.splice(ne,1);var we=K?this._order.indexOf(K):this._order.length;if(K&&we===-1){this.fire(new i.ErrorEvent(new Error('Layer with id \"'+K+'\" does not exist on this map.')));return}this._order.splice(we,0,q),this._layerOrderChanged=!0}},D.prototype.removeLayer=function(q){this._checkLoaded();var K=this._layers[q];if(!K){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+q+\"' does not exist in the map's style and cannot be removed.\")));return}K.setEventedParent(null);var de=this._order.indexOf(q);this._order.splice(de,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[q]=K,delete this._layers[q],delete this._serializedLayers[q],delete this._updatedLayers[q],delete this._updatedPaintProps[q],K.onRemove&&K.onRemove(this.map)},D.prototype.getLayer=function(q){return this._layers[q]},D.prototype.hasLayer=function(q){return q in this._layers},D.prototype.setLayerZoomRange=function(q,K,de){this._checkLoaded();var ne=this.getLayer(q);if(!ne){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+q+\"' does not exist in the map's style and cannot have zoom extent.\")));return}ne.minzoom===K&&ne.maxzoom===de||(K!=null&&(ne.minzoom=K),de!=null&&(ne.maxzoom=de),this._updateLayer(ne))},D.prototype.setFilter=function(q,K,de){de===void 0&&(de={}),this._checkLoaded();var ne=this.getLayer(q);if(!ne){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+q+\"' does not exist in the map's style and cannot be filtered.\")));return}if(!i.deepEqual(ne.filter,K)){if(K==null){ne.filter=void 0,this._updateLayer(ne);return}this._validate(i.validateStyle.filter,\"layers.\"+ne.id+\".filter\",K,null,de)||(ne.filter=i.clone$1(K),this._updateLayer(ne))}},D.prototype.getFilter=function(q){return i.clone$1(this.getLayer(q).filter)},D.prototype.setLayoutProperty=function(q,K,de,ne){ne===void 0&&(ne={}),this._checkLoaded();var we=this.getLayer(q);if(!we){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+q+\"' does not exist in the map's style and cannot be styled.\")));return}i.deepEqual(we.getLayoutProperty(K),de)||(we.setLayoutProperty(K,de,ne),this._updateLayer(we))},D.prototype.getLayoutProperty=function(q,K){var de=this.getLayer(q);if(!de){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+q+\"' does not exist in the map's style.\")));return}return de.getLayoutProperty(K)},D.prototype.setPaintProperty=function(q,K,de,ne){ne===void 0&&(ne={}),this._checkLoaded();var we=this.getLayer(q);if(!we){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+q+\"' does not exist in the map's style and cannot be styled.\")));return}if(!i.deepEqual(we.getPaintProperty(K),de)){var Ue=we.setPaintProperty(K,de,ne);Ue&&this._updateLayer(we),this._changed=!0,this._updatedPaintProps[q]=!0}},D.prototype.getPaintProperty=function(q,K){return this.getLayer(q).getPaintProperty(K)},D.prototype.setFeatureState=function(q,K){this._checkLoaded();var de=q.source,ne=q.sourceLayer,we=this.sourceCaches[de];if(we===void 0){this.fire(new i.ErrorEvent(new Error(\"The source '\"+de+\"' does not exist in the map's style.\")));return}var Ue=we.getSource().type;if(Ue===\"geojson\"&&ne){this.fire(new i.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\")));return}if(Ue===\"vector\"&&!ne){this.fire(new i.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));return}q.id===void 0&&this.fire(new i.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),we.setFeatureState(ne,q.id,K)},D.prototype.removeFeatureState=function(q,K){this._checkLoaded();var de=q.source,ne=this.sourceCaches[de];if(ne===void 0){this.fire(new i.ErrorEvent(new Error(\"The source '\"+de+\"' does not exist in the map's style.\")));return}var we=ne.getSource().type,Ue=we===\"vector\"?q.sourceLayer:void 0;if(we===\"vector\"&&!Ue){this.fire(new i.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));return}if(K&&typeof q.id!=\"string\"&&typeof q.id!=\"number\"){this.fire(new i.ErrorEvent(new Error(\"A feature id is required to remove its specific state property.\")));return}ne.removeFeatureState(Ue,q.id,K)},D.prototype.getFeatureState=function(q){this._checkLoaded();var K=q.source,de=q.sourceLayer,ne=this.sourceCaches[K];if(ne===void 0){this.fire(new i.ErrorEvent(new Error(\"The source '\"+K+\"' does not exist in the map's style.\")));return}var we=ne.getSource().type;if(we===\"vector\"&&!de){this.fire(new i.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));return}return q.id===void 0&&this.fire(new i.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),ne.getFeatureState(de,q.id)},D.prototype.getTransition=function(){return i.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},D.prototype.serialize=function(){return i.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:i.mapObject(this.sourceCaches,function(q){return q.serialize()}),layers:this._serializeLayers(this._order)},function(q){return q!==void 0})},D.prototype._updateLayer=function(q){this._updatedLayers[q.id]=!0,q.source&&!this._updatedSources[q.source]&&this.sourceCaches[q.source].getSource().type!==\"raster\"&&(this._updatedSources[q.source]=\"reload\",this.sourceCaches[q.source].pause()),this._changed=!0},D.prototype._flattenAndSortRenderedFeatures=function(q){for(var K=this,de=function(wi){return K._layers[wi].type===\"fill-extrusion\"},ne={},we=[],Ue=this._order.length-1;Ue>=0;Ue--){var ft=this._order[Ue];if(de(ft)){ne[ft]=Ue;for(var Zt=0,hr=q;Zt<hr.length;Zt+=1){var qt=hr[Zt],Ve=qt[ft];if(Ve)for(var et=0,at=Ve;et<at.length;et+=1){var kt=at[et];we.push(kt)}}}}we.sort(function(wi,gn){return gn.intersectionZ-wi.intersectionZ});for(var Ot=[],It=this._order.length-1;It>=0;It--){var Bt=this._order[It];if(de(Bt))for(var Rt=we.length-1;Rt>=0;Rt--){var mt=we[Rt].feature;if(ne[mt.layer.id]<It)break;Ot.push(mt),we.pop()}else for(var Pt=0,ht=q;Pt<ht.length;Pt+=1){var cr=ht[Pt],br=cr[Bt];if(br)for(var Nr=0,Ri=br;Nr<Ri.length;Nr+=1){var hi=Ri[Nr];Ot.push(hi.feature)}}}return Ot},D.prototype.queryRenderedFeatures=function(q,K,de){K&&K.filter&&this._validate(i.validateStyle.filter,\"queryRenderedFeatures.filter\",K.filter,null,K);var ne={};if(K&&K.layers){if(!Array.isArray(K.layers))return this.fire(new i.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var we=0,Ue=K.layers;we<Ue.length;we+=1){var ft=Ue[we],Zt=this._layers[ft];if(!Zt)return this.fire(new i.ErrorEvent(new Error(\"The layer '\"+ft+\"' does not exist in the map's style and cannot be queried for features.\"))),[];ne[Zt.source]=!0}}var hr=[];K.availableImages=this._availableImages;for(var qt in this.sourceCaches)K.layers&&!ne[qt]||hr.push(ce(this.sourceCaches[qt],this._layers,this._serializedLayers,q,K,de));return this.placement&&hr.push(Ze(this._layers,this._serializedLayers,this.sourceCaches,q,K,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(hr)},D.prototype.querySourceFeatures=function(q,K){K&&K.filter&&this._validate(i.validateStyle.filter,\"querySourceFeatures.filter\",K.filter,null,K);var de=this.sourceCaches[q];return de?ct(de,K):[]},D.prototype.addSourceType=function(q,K,de){if(D.getSourceType(q))return de(new Error('A source type called \"'+q+'\" already exists.'));if(D.setSourceType(q,K),!K.workerSourceURL)return de(null,null);this.dispatcher.broadcast(\"loadWorkerSource\",{name:q,url:K.workerSourceURL},de)},D.prototype.getLight=function(){return this.light.getLight()},D.prototype.setLight=function(q,K){K===void 0&&(K={}),this._checkLoaded();var de=this.light.getLight(),ne=!1;for(var we in q)if(!i.deepEqual(q[we],de[we])){ne=!0;break}if(ne){var Ue={now:i.browser.now(),transition:i.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(q,K),this.light.updateTransitions(Ue)}},D.prototype._validate=function(q,K,de,ne,we){return we===void 0&&(we={}),we&&we.validate===!1?!1:ml(this,q.call(i.validateStyle,i.extend({key:K,style:this.serialize(),value:de,styleSpec:i.styleSpec},ne)))},D.prototype._remove=function(){this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),i.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback);for(var q in this._layers){var K=this._layers[q];K.setEventedParent(null)}for(var de in this.sourceCaches)this.sourceCaches[de].clearTiles(),this.sourceCaches[de].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},D.prototype._clearSource=function(q){this.sourceCaches[q].clearTiles()},D.prototype._reloadSource=function(q){this.sourceCaches[q].resume(),this.sourceCaches[q].reload()},D.prototype._updateSources=function(q){for(var K in this.sourceCaches)this.sourceCaches[K].update(q)},D.prototype._generateCollisionBoxes=function(){for(var q in this.sourceCaches)this._reloadSource(q)},D.prototype._updatePlacement=function(q,K,de,ne,we){we===void 0&&(we=!1);for(var Ue=!1,ft=!1,Zt={},hr=0,qt=this._order;hr<qt.length;hr+=1){var Ve=qt[hr],et=this._layers[Ve];if(et.type===\"symbol\"){if(!Zt[et.source]){var at=this.sourceCaches[et.source];Zt[et.source]=at.getRenderableIds(!0).map(function(Pt){return at.getTileByID(Pt)}).sort(function(Pt,ht){return ht.tileID.overscaledZ-Pt.tileID.overscaledZ||(Pt.tileID.isLessThan(ht.tileID)?-1:1)})}var kt=this.crossTileSymbolIndex.addLayer(et,Zt[et.source],q.center.lng);Ue=Ue||kt}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),we=we||this._layerOrderChanged||de===0,(we||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(i.browser.now(),q.zoom))&&(this.pauseablePlacement=new qo(q,this._order,we,K,de,ne,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,Zt),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(i.browser.now()),ft=!0),Ue&&this.pauseablePlacement.placement.setStale()),ft||Ue)for(var Ot=0,It=this._order;Ot<It.length;Ot+=1){var Bt=It[Ot],Rt=this._layers[Bt];Rt.type===\"symbol\"&&this.placement.updateLayerOpacities(Rt,Zt[Rt.source])}var mt=!this.pauseablePlacement.isDone()||this.placement.hasTransitions(i.browser.now());return mt},D.prototype._releaseSymbolFadeTiles=function(){for(var q in this.sourceCaches)this.sourceCaches[q].releaseSymbolFadeTiles()},D.prototype.getImages=function(q,K,de){this.imageManager.getImages(K.icons,de),this._updateTilesForChangedImages();var ne=this.sourceCaches[K.source];ne&&ne.setDependencies(K.tileID.key,K.type,K.icons)},D.prototype.getGlyphs=function(q,K,de){this.glyphManager.getGlyphs(K.stacks,de)},D.prototype.getResource=function(q,K,de){return i.makeRequest(K,de)},D}(i.Evented);yu.getSourceType=De,yu.setSourceType=Pe,yu.registerForPluginStateChange=i.registerForPluginStateChange;var oc=i.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Cf=`#ifdef GL_ES\n",
       "precision 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`,sc=`#ifdef GL_ES\n",
       "precision 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\n",
       "vec2 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;}`,Nh=`uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\n",
       "#ifdef OVERDRAW_INSPECTOR\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,kf=\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\",fs=`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\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,nf=\"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);}\",Vf=`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\n",
       "void main() {\n",
       "#pragma mapbox: initialize highp vec4 color\n",
       "#pragma mapbox: initialize mediump float radius\n",
       "#pragma mapbox: initialize lowp float blur\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "#pragma mapbox: initialize highp vec4 stroke_color\n",
       "#pragma mapbox: initialize mediump float stroke_width\n",
       "#pragma mapbox: initialize lowp float stroke_opacity\n",
       "vec2 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\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,Jl=`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\n",
       "void main(void) {\n",
       "#pragma mapbox: initialize highp vec4 color\n",
       "#pragma mapbox: initialize mediump float radius\n",
       "#pragma mapbox: initialize lowp float blur\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "#pragma mapbox: initialize highp vec4 stroke_color\n",
       "#pragma mapbox: initialize mediump float stroke_width\n",
       "#pragma mapbox: initialize lowp float stroke_opacity\n",
       "vec2 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);}`,hl=\"void main() {gl_FragColor=vec4(1.0);}\",lc=\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\",Fu=`uniform highp float u_intensity;varying vec2 v_extrude;\n",
       "#pragma mapbox: define highp float weight\n",
       "#define GAUSS_COEF 0.3989422804014327\n",
       "void main() {\n",
       "#pragma mapbox: initialize highp float weight\n",
       "float 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\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,Cs=`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\n",
       "const highp float ZERO=1.0/255.0/16.0;\n",
       "#define GAUSS_COEF 0.3989422804014327\n",
       "void main(void) {\n",
       "#pragma mapbox: initialize highp float weight\n",
       "#pragma mapbox: initialize mediump float radius\n",
       "vec2 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;}`,js=`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\n",
       "gl_FragColor=vec4(0.0);\n",
       "#endif\n",
       "}`,Go=\"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;}\",gs=\"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;}}\",uc=\"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;}\",xl=\"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;}\",Gu=\"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);}\",Bs=\"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);}\",ad=\"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);}\",Po=`#pragma mapbox: define highp vec4 color\n",
       "#pragma mapbox: define lowp float opacity\n",
       "void main() {\n",
       "#pragma mapbox: initialize highp vec4 color\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "gl_FragColor=color*opacity;\n",
       "#ifdef OVERDRAW_INSPECTOR\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,od=`attribute vec2 a_pos;uniform mat4 u_matrix;\n",
       "#pragma mapbox: define highp vec4 color\n",
       "#pragma mapbox: define lowp float opacity\n",
       "void main() {\n",
       "#pragma mapbox: initialize highp vec4 color\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "gl_Position=u_matrix*vec4(a_pos,0,1);}`,Yo=`varying vec2 v_pos;\n",
       "#pragma mapbox: define highp vec4 outline_color\n",
       "#pragma mapbox: define lowp float opacity\n",
       "void main() {\n",
       "#pragma mapbox: initialize highp vec4 outline_color\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "float 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\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,Pa=`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\n",
       "void main() {\n",
       "#pragma mapbox: initialize highp vec4 outline_color\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}`,af=`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\n",
       "void 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",
       "vec2 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\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,Hu=`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\n",
       "void 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\n",
       "vec2 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;}`,bl=`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\n",
       "void 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",
       "vec2 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\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,Gf=`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\n",
       "void 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\n",
       "vec2 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);}`,Ic=`varying vec4 v_color;void main() {gl_FragColor=v_color;\n",
       "#ifdef OVERDRAW_INSPECTOR\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,mf=`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\n",
       "void main() {\n",
       "#pragma mapbox: initialize highp float base\n",
       "#pragma mapbox: initialize highp float height\n",
       "#pragma mapbox: initialize highp vec4 color\n",
       "vec3 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;}`,ql=`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\n",
       "void 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\n",
       "vec2 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\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,_h=`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\n",
       "void 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\n",
       "vec2 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;}`,Qf=`#ifdef GL_ES\n",
       "precision highp float;\n",
       "#endif\n",
       "uniform 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\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,yf=\"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;}\",Yc=`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\n",
       "void 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\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,eh=\"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;}\",th=`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\n",
       "void main() {\n",
       "#pragma mapbox: initialize highp vec4 color\n",
       "#pragma mapbox: initialize lowp float blur\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "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);gl_FragColor=color*(alpha*opacity);\n",
       "#ifdef OVERDRAW_INSPECTOR\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,ju=`\n",
       "#define scale 0.015873016\n",
       "attribute 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\n",
       "void 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",
       "float 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);}`,Hf=`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\n",
       "void main() {\n",
       "#pragma mapbox: initialize lowp float blur\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "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);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\n",
       "#ifdef OVERDRAW_INSPECTOR\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,cc=`\n",
       "#define scale 0.015873016\n",
       "attribute 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\n",
       "void main() {\n",
       "#pragma mapbox: initialize lowp float blur\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "#pragma mapbox: initialize mediump float gapwidth\n",
       "#pragma mapbox: initialize lowp float offset\n",
       "#pragma mapbox: initialize mediump float width\n",
       "float 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);}`,of=`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\n",
       "void 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\n",
       "vec2 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\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,Bl=`\n",
       "#define scale 0.015873016\n",
       "#define LINE_DISTANCE_SCALE 2.0\n",
       "attribute 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\n",
       "void 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\n",
       "float 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;}`,Kc=`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\n",
       "void main() {\n",
       "#pragma mapbox: initialize highp vec4 color\n",
       "#pragma mapbox: initialize lowp float blur\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "#pragma mapbox: initialize mediump float width\n",
       "#pragma mapbox: initialize lowp float floorwidth\n",
       "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 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\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,Rc=`\n",
       "#define scale 0.015873016\n",
       "#define LINE_DISTANCE_SCALE 2.0\n",
       "attribute 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\n",
       "void main() {\n",
       "#pragma mapbox: initialize highp vec4 color\n",
       "#pragma mapbox: initialize lowp float blur\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "#pragma mapbox: initialize mediump float gapwidth\n",
       "#pragma mapbox: initialize lowp float offset\n",
       "#pragma mapbox: initialize mediump float width\n",
       "#pragma mapbox: initialize lowp float floorwidth\n",
       "float 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);}`,ms=`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\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,jf=\"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;}\",Uh=`uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n",
       "#pragma mapbox: define lowp float opacity\n",
       "void main() {\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "lowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n",
       "#ifdef OVERDRAW_INSPECTOR\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,rh=`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\n",
       "void main() {\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "vec2 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 ?\n",
       "camera_to_anchor_distance/u_camera_to_center_distance :\n",
       "u_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));}`,sf=`#define SDF_PX 8.0\n",
       "uniform 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\n",
       "void main() {\n",
       "#pragma mapbox: initialize highp vec4 fill_color\n",
       "#pragma mapbox: initialize highp vec4 halo_color\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "#pragma mapbox: initialize lowp float halo_width\n",
       "#pragma mapbox: initialize lowp float halo_blur\n",
       "float 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\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,xh=`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\n",
       "void main() {\n",
       "#pragma mapbox: initialize highp vec4 fill_color\n",
       "#pragma mapbox: initialize highp vec4 halo_color\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "#pragma mapbox: initialize lowp float halo_width\n",
       "#pragma mapbox: initialize lowp float halo_blur\n",
       "vec2 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 ?\n",
       "camera_to_anchor_distance/u_camera_to_center_distance :\n",
       "u_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);}`,Mu=`#define SDF_PX 8.0\n",
       "#define SDF 1.0\n",
       "#define ICON 0.0\n",
       "uniform 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\n",
       "void main() {\n",
       "#pragma mapbox: initialize highp vec4 fill_color\n",
       "#pragma mapbox: initialize highp vec4 halo_color\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "#pragma mapbox: initialize lowp float halo_width\n",
       "#pragma mapbox: initialize lowp float halo_blur\n",
       "float 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\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "return;}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\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,ih=`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\n",
       "void main() {\n",
       "#pragma mapbox: initialize highp vec4 fill_color\n",
       "#pragma mapbox: initialize highp vec4 halo_color\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "#pragma mapbox: initialize lowp float halo_width\n",
       "#pragma mapbox: initialize lowp float halo_blur\n",
       "vec2 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 ?\n",
       "camera_to_anchor_distance/u_camera_to_center_distance :\n",
       "u_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);}`,Ws=Vs(Cf,sc),Eu=Vs(Nh,kf),Dc=Vs(fs,nf),ks=Vs(Vf,Jl),bc=Vs(hl,lc),du=Vs(Fu,Cs),_u=Vs(js,Go),al=Vs(gs,uc),nh=Vs(xl,Gu),bh=Vs(Bs,ad),zu=Vs(Po,od),Fc=Vs(Yo,Pa),wc=Vs(af,Hu),bd=Vs(bl,Gf),_f=Vs(Ic,mf),Lf=Vs(ql,_h),Ou=Vs(Qf,yf),xf=Vs(Yc,eh),jl=Vs(th,ju),lf=Vs(Hf,cc),Vh=Vs(of,Bl),Pf=Vs(Kc,Rc),Ls=Vs(ms,jf),vu=Vs(Uh,rh),Cu=Vs(sf,xh),Wf=Vs(Mu,ih);function Vs(Y,D){var J=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,q=D.match(/attribute ([\\w]+) ([\\w]+)/g),K=Y.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),de=D.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),ne=de?de.concat(K):K,we={};return Y=Y.replace(J,function(Ue,ft,Zt,hr,qt){return we[qt]=!0,ft===\"define\"?`\n",
       "#ifndef HAS_UNIFORM_u_`+qt+`\n",
       "varying `+Zt+\" \"+hr+\" \"+qt+`;\n",
       "#else\n",
       "uniform `+Zt+\" \"+hr+\" u_\"+qt+`;\n",
       "#endif\n",
       "`:`\n",
       "#ifdef HAS_UNIFORM_u_`+qt+`\n",
       "    `+Zt+\" \"+hr+\" \"+qt+\" = u_\"+qt+`;\n",
       "#endif\n",
       "`}),D=D.replace(J,function(Ue,ft,Zt,hr,qt){var Ve=hr===\"float\"?\"vec2\":\"vec4\",et=qt.match(/color/)?\"color\":Ve;return we[qt]?ft===\"define\"?`\n",
       "#ifndef HAS_UNIFORM_u_`+qt+`\n",
       "uniform lowp float u_`+qt+`_t;\n",
       "attribute `+Zt+\" \"+Ve+\" a_\"+qt+`;\n",
       "varying `+Zt+\" \"+hr+\" \"+qt+`;\n",
       "#else\n",
       "uniform `+Zt+\" \"+hr+\" u_\"+qt+`;\n",
       "#endif\n",
       "`:et===\"vec4\"?`\n",
       "#ifndef HAS_UNIFORM_u_`+qt+`\n",
       "    `+qt+\" = a_\"+qt+`;\n",
       "#else\n",
       "    `+Zt+\" \"+hr+\" \"+qt+\" = u_\"+qt+`;\n",
       "#endif\n",
       "`:`\n",
       "#ifndef HAS_UNIFORM_u_`+qt+`\n",
       "    `+qt+\" = unpack_mix_\"+et+\"(a_\"+qt+\", u_\"+qt+`_t);\n",
       "#else\n",
       "    `+Zt+\" \"+hr+\" \"+qt+\" = u_\"+qt+`;\n",
       "#endif\n",
       "`:ft===\"define\"?`\n",
       "#ifndef HAS_UNIFORM_u_`+qt+`\n",
       "uniform lowp float u_`+qt+`_t;\n",
       "attribute `+Zt+\" \"+Ve+\" a_\"+qt+`;\n",
       "#else\n",
       "uniform `+Zt+\" \"+hr+\" u_\"+qt+`;\n",
       "#endif\n",
       "`:et===\"vec4\"?`\n",
       "#ifndef HAS_UNIFORM_u_`+qt+`\n",
       "    `+Zt+\" \"+hr+\" \"+qt+\" = a_\"+qt+`;\n",
       "#else\n",
       "    `+Zt+\" \"+hr+\" \"+qt+\" = u_\"+qt+`;\n",
       "#endif\n",
       "`:`\n",
       "#ifndef HAS_UNIFORM_u_`+qt+`\n",
       "    `+Zt+\" \"+hr+\" \"+qt+\" = unpack_mix_\"+et+\"(a_\"+qt+\", u_\"+qt+`_t);\n",
       "#else\n",
       "    `+Zt+\" \"+hr+\" \"+qt+\" = u_\"+qt+`;\n",
       "#endif\n",
       "`}),{fragmentSource:Y,vertexSource:D,staticAttributes:q,staticUniforms:ne}}var bf=Object.freeze({__proto__:null,prelude:Ws,background:Eu,backgroundPattern:Dc,circle:ks,clippingMask:bc,heatmap:du,heatmapTexture:_u,collisionBox:al,collisionCircle:nh,debug:bh,fill:zu,fillOutline:Fc,fillOutlinePattern:wc,fillPattern:bd,fillExtrusion:_f,fillExtrusionPattern:Lf,hillshadePrepare:Ou,hillshade:xf,line:jl,lineGradient:lf,linePattern:Vh,lineSDF:Pf,raster:Ls,symbolIcon:vu,symbolSDF:Cu,symbolTextAndIcon:Wf}),zc=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};zc.prototype.bind=function(D,J,q,K,de,ne,we,Ue){this.context=D;for(var ft=this.boundPaintVertexBuffers.length!==K.length,Zt=0;!ft&&Zt<K.length;Zt++)this.boundPaintVertexBuffers[Zt]!==K[Zt]&&(ft=!0);var hr=!this.vao||this.boundProgram!==J||this.boundLayoutVertexBuffer!==q||ft||this.boundIndexBuffer!==de||this.boundVertexOffset!==ne||this.boundDynamicVertexBuffer!==we||this.boundDynamicVertexBuffer2!==Ue;!D.extVertexArrayObject||hr?this.freshBind(J,q,K,de,ne,we,Ue):(D.bindVertexArrayOES.set(this.vao),we&&we.bind(),de&&de.dynamicDraw&&de.bind(),Ue&&Ue.bind())},zc.prototype.freshBind=function(D,J,q,K,de,ne,we){var Ue,ft=D.numAttributes,Zt=this.context,hr=Zt.gl;if(Zt.extVertexArrayObject)this.vao&&this.destroy(),this.vao=Zt.extVertexArrayObject.createVertexArrayOES(),Zt.bindVertexArrayOES.set(this.vao),Ue=0,this.boundProgram=D,this.boundLayoutVertexBuffer=J,this.boundPaintVertexBuffers=q,this.boundIndexBuffer=K,this.boundVertexOffset=de,this.boundDynamicVertexBuffer=ne,this.boundDynamicVertexBuffer2=we;else{Ue=Zt.currentNumAttributes||0;for(var qt=ft;qt<Ue;qt++)hr.disableVertexAttribArray(qt)}J.enableAttributes(hr,D);for(var Ve=0,et=q;Ve<et.length;Ve+=1){var at=et[Ve];at.enableAttributes(hr,D)}ne&&ne.enableAttributes(hr,D),we&&we.enableAttributes(hr,D),J.bind(),J.setVertexAttribPointers(hr,D,de);for(var kt=0,Ot=q;kt<Ot.length;kt+=1){var It=Ot[kt];It.bind(),It.setVertexAttribPointers(hr,D,de)}ne&&(ne.bind(),ne.setVertexAttribPointers(hr,D,de)),K&&K.bind(),we&&(we.bind(),we.setVertexAttribPointers(hr,D,de)),Zt.currentNumAttributes=ft},zc.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};function Wu(Y){for(var D=[],J=0;J<Y.length;J++)if(Y[J]!==null){var q=Y[J].split(\" \");D.push(q.pop())}return D}var If=function(D,J,q,K,de,ne){var we=D.gl;this.program=we.createProgram();for(var Ue=Wu(q.staticAttributes),ft=K?K.getBinderAttributes():[],Zt=Ue.concat(ft),hr=q.staticUniforms?Wu(q.staticUniforms):[],qt=K?K.getBinderUniforms():[],Ve=hr.concat(qt),et=[],at=0,kt=Ve;at<kt.length;at+=1){var Ot=kt[at];et.indexOf(Ot)<0&&et.push(Ot)}var It=K?K.defines():[];ne&&It.push(\"#define OVERDRAW_INSPECTOR;\");var Bt=It.concat(Ws.fragmentSource,q.fragmentSource).join(`\n",
       "`),Rt=It.concat(Ws.vertexSource,q.vertexSource).join(`\n",
       "`),mt=we.createShader(we.FRAGMENT_SHADER);if(we.isContextLost()){this.failedToCreate=!0;return}we.shaderSource(mt,Bt),we.compileShader(mt),we.attachShader(this.program,mt);var Pt=we.createShader(we.VERTEX_SHADER);if(we.isContextLost()){this.failedToCreate=!0;return}we.shaderSource(Pt,Rt),we.compileShader(Pt),we.attachShader(this.program,Pt),this.attributes={};var ht={};this.numAttributes=Zt.length;for(var cr=0;cr<this.numAttributes;cr++)Zt[cr]&&(we.bindAttribLocation(this.program,cr,Zt[cr]),this.attributes[Zt[cr]]=cr);we.linkProgram(this.program),we.deleteShader(Pt),we.deleteShader(mt);for(var br=0;br<et.length;br++){var Nr=et[br];if(Nr&&!ht[Nr]){var Ri=we.getUniformLocation(this.program,Nr);Ri&&(ht[Nr]=Ri)}}this.fixedUniforms=de(D,ht),this.binderUniforms=K?K.getUniforms(D,ht):[]};If.prototype.draw=function(D,J,q,K,de,ne,we,Ue,ft,Zt,hr,qt,Ve,et,at,kt){var Ot,It=D.gl;if(!this.failedToCreate){D.program.set(this.program),D.setDepthMode(q),D.setStencilMode(K),D.setColorMode(de),D.setCullFace(ne);for(var Bt in this.fixedUniforms)this.fixedUniforms[Bt].set(we[Bt]);et&&et.setUniforms(D,this.binderUniforms,qt,{zoom:Ve});for(var Rt=(Ot={},Ot[It.LINES]=2,Ot[It.TRIANGLES]=3,Ot[It.LINE_STRIP]=1,Ot)[J],mt=0,Pt=hr.get();mt<Pt.length;mt+=1){var ht=Pt[mt],cr=ht.vaos||(ht.vaos={}),br=cr[Ue]||(cr[Ue]=new zc);br.bind(D,this,ft,et?et.getPaintVertexBuffers():[],Zt,ht.vertexOffset,at,kt),It.drawElements(J,ht.primitiveLength*Rt,It.UNSIGNED_SHORT,ht.primitiveOffset*Rt*2)}}};function Xu(Y,D,J){var q=1/Ss(J,1,D.transform.tileZoom),K=Math.pow(2,J.tileID.overscaledZ),de=J.tileSize*Math.pow(2,D.transform.tileZoom)/K,ne=de*(J.tileID.canonical.x+J.tileID.wrap*K),we=de*J.tileID.canonical.y;return{u_image:0,u_texsize:J.imageAtlasTexture.size,u_scale:[q,Y.fromScale,Y.toScale],u_fade:Y.t,u_pixel_coord_upper:[ne>>16,we>>16],u_pixel_coord_lower:[ne&65535,we&65535]}}function uf(Y,D,J,q){var K=J.imageManager.getPattern(Y.from.toString()),de=J.imageManager.getPattern(Y.to.toString()),ne=J.imageManager.getPixelSize(),we=ne.width,Ue=ne.height,ft=Math.pow(2,q.tileID.overscaledZ),Zt=q.tileSize*Math.pow(2,J.transform.tileZoom)/ft,hr=Zt*(q.tileID.canonical.x+q.tileID.wrap*ft),qt=Zt*q.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:K.tl,u_pattern_br_a:K.br,u_pattern_tl_b:de.tl,u_pattern_br_b:de.br,u_texsize:[we,Ue],u_mix:D.t,u_pattern_size_a:K.displaySize,u_pattern_size_b:de.displaySize,u_scale_a:D.fromScale,u_scale_b:D.toScale,u_tile_units_to_pixels:1/Ss(q,1,J.transform.tileZoom),u_pixel_coord_upper:[hr>>16,qt>>16],u_pixel_coord_lower:[hr&65535,qt&65535]}}var Xf=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_lightpos:new i.Uniform3f(Y,D.u_lightpos),u_lightintensity:new i.Uniform1f(Y,D.u_lightintensity),u_lightcolor:new i.Uniform3f(Y,D.u_lightcolor),u_vertical_gradient:new i.Uniform1f(Y,D.u_vertical_gradient),u_opacity:new i.Uniform1f(Y,D.u_opacity)}},Wl=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_lightpos:new i.Uniform3f(Y,D.u_lightpos),u_lightintensity:new i.Uniform1f(Y,D.u_lightintensity),u_lightcolor:new i.Uniform3f(Y,D.u_lightcolor),u_vertical_gradient:new i.Uniform1f(Y,D.u_vertical_gradient),u_height_factor:new i.Uniform1f(Y,D.u_height_factor),u_image:new i.Uniform1i(Y,D.u_image),u_texsize:new i.Uniform2f(Y,D.u_texsize),u_pixel_coord_upper:new i.Uniform2f(Y,D.u_pixel_coord_upper),u_pixel_coord_lower:new i.Uniform2f(Y,D.u_pixel_coord_lower),u_scale:new i.Uniform3f(Y,D.u_scale),u_fade:new i.Uniform1f(Y,D.u_fade),u_opacity:new i.Uniform1f(Y,D.u_opacity)}},ah=function(Y,D,J,q){var K=D.style.light,de=K.properties.get(\"position\"),ne=[de.x,de.y,de.z],we=i.create$1();K.properties.get(\"anchor\")===\"viewport\"&&i.fromRotation(we,-D.transform.angle),i.transformMat3(ne,ne,we);var Ue=K.properties.get(\"color\");return{u_matrix:Y,u_lightpos:ne,u_lightintensity:K.properties.get(\"intensity\"),u_lightcolor:[Ue.r,Ue.g,Ue.b],u_vertical_gradient:+J,u_opacity:q}},Zu=function(Y,D,J,q,K,de,ne){return i.extend(ah(Y,D,J,q),Xu(de,D,ne),{u_height_factor:-Math.pow(2,K.overscaledZ)/ne.tileSize/8})},Oc=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix)}},Tc=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_image:new i.Uniform1i(Y,D.u_image),u_texsize:new i.Uniform2f(Y,D.u_texsize),u_pixel_coord_upper:new i.Uniform2f(Y,D.u_pixel_coord_upper),u_pixel_coord_lower:new i.Uniform2f(Y,D.u_pixel_coord_lower),u_scale:new i.Uniform3f(Y,D.u_scale),u_fade:new i.Uniform1f(Y,D.u_fade)}},wl=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_world:new i.Uniform2f(Y,D.u_world)}},pu=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_world:new i.Uniform2f(Y,D.u_world),u_image:new i.Uniform1i(Y,D.u_image),u_texsize:new i.Uniform2f(Y,D.u_texsize),u_pixel_coord_upper:new i.Uniform2f(Y,D.u_pixel_coord_upper),u_pixel_coord_lower:new i.Uniform2f(Y,D.u_pixel_coord_lower),u_scale:new i.Uniform3f(Y,D.u_scale),u_fade:new i.Uniform1f(Y,D.u_fade)}},qc=function(Y){return{u_matrix:Y}},cf=function(Y,D,J,q){return i.extend(qc(Y),Xu(J,D,q))},fc=function(Y,D){return{u_matrix:Y,u_world:D}},Bc=function(Y,D,J,q,K){return i.extend(cf(Y,D,J,q),{u_world:K})},At=function(Y,D){return{u_camera_to_center_distance:new i.Uniform1f(Y,D.u_camera_to_center_distance),u_scale_with_map:new i.Uniform1i(Y,D.u_scale_with_map),u_pitch_with_map:new i.Uniform1i(Y,D.u_pitch_with_map),u_extrude_scale:new i.Uniform2f(Y,D.u_extrude_scale),u_device_pixel_ratio:new i.Uniform1f(Y,D.u_device_pixel_ratio),u_matrix:new i.UniformMatrix4f(Y,D.u_matrix)}},Xt=function(Y,D,J,q){var K=Y.transform,de,ne;if(q.paint.get(\"circle-pitch-alignment\")===\"map\"){var we=Ss(J,1,K.zoom);de=!0,ne=[we,we]}else de=!1,ne=K.pixelsToGLUnits;return{u_camera_to_center_distance:K.cameraToCenterDistance,u_scale_with_map:+(q.paint.get(\"circle-pitch-scale\")===\"map\"),u_matrix:Y.translatePosMatrix(D.posMatrix,J,q.paint.get(\"circle-translate\"),q.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+de,u_device_pixel_ratio:i.browser.devicePixelRatio,u_extrude_scale:ne}},kr=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_camera_to_center_distance:new i.Uniform1f(Y,D.u_camera_to_center_distance),u_pixels_to_tile_units:new i.Uniform1f(Y,D.u_pixels_to_tile_units),u_extrude_scale:new i.Uniform2f(Y,D.u_extrude_scale),u_overscale_factor:new i.Uniform1f(Y,D.u_overscale_factor)}},Ar=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_inv_matrix:new i.UniformMatrix4f(Y,D.u_inv_matrix),u_camera_to_center_distance:new i.Uniform1f(Y,D.u_camera_to_center_distance),u_viewport_size:new i.Uniform2f(Y,D.u_viewport_size)}},Kr=function(Y,D,J){var q=Ss(J,1,D.zoom),K=Math.pow(2,D.zoom-J.tileID.overscaledZ),de=J.tileID.overscaleFactor();return{u_matrix:Y,u_camera_to_center_distance:D.cameraToCenterDistance,u_pixels_to_tile_units:q,u_extrude_scale:[D.pixelsToGLUnits[0]/(q*K),D.pixelsToGLUnits[1]/(q*K)],u_overscale_factor:de}},Ei=function(Y,D,J){return{u_matrix:Y,u_inv_matrix:D,u_camera_to_center_distance:J.cameraToCenterDistance,u_viewport_size:[J.width,J.height]}},Wi=function(Y,D){return{u_color:new i.UniformColor(Y,D.u_color),u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_overlay:new i.Uniform1i(Y,D.u_overlay),u_overlay_scale:new i.Uniform1f(Y,D.u_overlay_scale)}},hn=function(Y,D,J){return J===void 0&&(J=1),{u_matrix:Y,u_color:D,u_overlay:0,u_overlay_scale:J}},Tn=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix)}},Bn=function(Y){return{u_matrix:Y}},Zi=function(Y,D){return{u_extrude_scale:new i.Uniform1f(Y,D.u_extrude_scale),u_intensity:new i.Uniform1f(Y,D.u_intensity),u_matrix:new i.UniformMatrix4f(Y,D.u_matrix)}},$i=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_world:new i.Uniform2f(Y,D.u_world),u_image:new i.Uniform1i(Y,D.u_image),u_color_ramp:new i.Uniform1i(Y,D.u_color_ramp),u_opacity:new i.Uniform1f(Y,D.u_opacity)}},an=function(Y,D,J,q){return{u_matrix:Y,u_extrude_scale:Ss(D,1,J),u_intensity:q}},Di=function(Y,D,J,q){var K=i.create();i.ortho(K,0,Y.width,Y.height,0,0,1);var de=Y.context.gl;return{u_matrix:K,u_world:[de.drawingBufferWidth,de.drawingBufferHeight],u_image:J,u_color_ramp:q,u_opacity:D.paint.get(\"heatmap-opacity\")}},$n=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_image:new i.Uniform1i(Y,D.u_image),u_latrange:new i.Uniform2f(Y,D.u_latrange),u_light:new i.Uniform2f(Y,D.u_light),u_shadow:new i.UniformColor(Y,D.u_shadow),u_highlight:new i.UniformColor(Y,D.u_highlight),u_accent:new i.UniformColor(Y,D.u_accent)}},ka=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_image:new i.Uniform1i(Y,D.u_image),u_dimension:new i.Uniform2f(Y,D.u_dimension),u_zoom:new i.Uniform1f(Y,D.u_zoom),u_unpack:new i.Uniform4f(Y,D.u_unpack)}},Ra=function(Y,D,J){var q=J.paint.get(\"hillshade-shadow-color\"),K=J.paint.get(\"hillshade-highlight-color\"),de=J.paint.get(\"hillshade-accent-color\"),ne=J.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);J.paint.get(\"hillshade-illumination-anchor\")===\"viewport\"&&(ne-=Y.transform.angle);var we=!Y.options.moving;return{u_matrix:Y.transform.calculatePosMatrix(D.tileID.toUnwrapped(),we),u_image:0,u_latrange:Na(Y,D.tileID),u_light:[J.paint.get(\"hillshade-exaggeration\"),ne],u_shadow:q,u_highlight:K,u_accent:de}},La=function(Y,D){var J=D.stride,q=i.create();return i.ortho(q,0,i.EXTENT,-i.EXTENT,0,0,1),i.translate(q,q,[0,-i.EXTENT,0]),{u_matrix:q,u_image:1,u_dimension:[J,J],u_zoom:Y.overscaledZ,u_unpack:D.getUnpackVector()}};function Na(Y,D){var J=Math.pow(2,D.canonical.z),q=D.canonical.y;return[new i.MercatorCoordinate(0,q/J).toLngLat().lat,new i.MercatorCoordinate(0,(q+1)/J).toLngLat().lat]}var Yn=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_ratio:new i.Uniform1f(Y,D.u_ratio),u_device_pixel_ratio:new i.Uniform1f(Y,D.u_device_pixel_ratio),u_units_to_pixels:new i.Uniform2f(Y,D.u_units_to_pixels)}},zn=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_ratio:new i.Uniform1f(Y,D.u_ratio),u_device_pixel_ratio:new i.Uniform1f(Y,D.u_device_pixel_ratio),u_units_to_pixels:new i.Uniform2f(Y,D.u_units_to_pixels),u_image:new i.Uniform1i(Y,D.u_image),u_image_height:new i.Uniform1f(Y,D.u_image_height)}},Ka=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_texsize:new i.Uniform2f(Y,D.u_texsize),u_ratio:new i.Uniform1f(Y,D.u_ratio),u_device_pixel_ratio:new i.Uniform1f(Y,D.u_device_pixel_ratio),u_image:new i.Uniform1i(Y,D.u_image),u_units_to_pixels:new i.Uniform2f(Y,D.u_units_to_pixels),u_scale:new i.Uniform3f(Y,D.u_scale),u_fade:new i.Uniform1f(Y,D.u_fade)}},bo=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_ratio:new i.Uniform1f(Y,D.u_ratio),u_device_pixel_ratio:new i.Uniform1f(Y,D.u_device_pixel_ratio),u_units_to_pixels:new i.Uniform2f(Y,D.u_units_to_pixels),u_patternscale_a:new i.Uniform2f(Y,D.u_patternscale_a),u_patternscale_b:new i.Uniform2f(Y,D.u_patternscale_b),u_sdfgamma:new i.Uniform1f(Y,D.u_sdfgamma),u_image:new i.Uniform1i(Y,D.u_image),u_tex_y_a:new i.Uniform1f(Y,D.u_tex_y_a),u_tex_y_b:new i.Uniform1f(Y,D.u_tex_y_b),u_mix:new i.Uniform1f(Y,D.u_mix)}},Xo=function(Y,D,J){var q=Y.transform;return{u_matrix:yl(Y,D,J),u_ratio:1/Ss(D,1,q.zoom),u_device_pixel_ratio:i.browser.devicePixelRatio,u_units_to_pixels:[1/q.pixelsToGLUnits[0],1/q.pixelsToGLUnits[1]]}},Ms=function(Y,D,J,q){return i.extend(Xo(Y,D,J),{u_image:0,u_image_height:q})},os=function(Y,D,J,q){var K=Y.transform,de=Ho(D,K);return{u_matrix:yl(Y,D,J),u_texsize:D.imageAtlasTexture.size,u_ratio:1/Ss(D,1,K.zoom),u_device_pixel_ratio:i.browser.devicePixelRatio,u_image:0,u_scale:[de,q.fromScale,q.toScale],u_fade:q.t,u_units_to_pixels:[1/K.pixelsToGLUnits[0],1/K.pixelsToGLUnits[1]]}},Ts=function(Y,D,J,q,K){var de=Y.transform,ne=Y.lineAtlas,we=Ho(D,de),Ue=J.layout.get(\"line-cap\")===\"round\",ft=ne.getDash(q.from,Ue),Zt=ne.getDash(q.to,Ue),hr=ft.width*K.fromScale,qt=Zt.width*K.toScale;return i.extend(Xo(Y,D,J),{u_patternscale_a:[we/hr,-ft.height/2],u_patternscale_b:[we/qt,-Zt.height/2],u_sdfgamma:ne.width/(Math.min(hr,qt)*256*i.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:ft.y,u_tex_y_b:Zt.y,u_mix:K.t})};function Ho(Y,D){return 1/Ss(Y,1,D.tileZoom)}function yl(Y,D,J){return Y.translatePosMatrix(D.tileID.posMatrix,D,J.paint.get(\"line-translate\"),J.paint.get(\"line-translate-anchor\"))}var Xs=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_tl_parent:new i.Uniform2f(Y,D.u_tl_parent),u_scale_parent:new i.Uniform1f(Y,D.u_scale_parent),u_buffer_scale:new i.Uniform1f(Y,D.u_buffer_scale),u_fade_t:new i.Uniform1f(Y,D.u_fade_t),u_opacity:new i.Uniform1f(Y,D.u_opacity),u_image0:new i.Uniform1i(Y,D.u_image0),u_image1:new i.Uniform1i(Y,D.u_image1),u_brightness_low:new i.Uniform1f(Y,D.u_brightness_low),u_brightness_high:new i.Uniform1f(Y,D.u_brightness_high),u_saturation_factor:new i.Uniform1f(Y,D.u_saturation_factor),u_contrast_factor:new i.Uniform1f(Y,D.u_contrast_factor),u_spin_weights:new i.Uniform3f(Y,D.u_spin_weights)}},Ps=function(Y,D,J,q,K){return{u_matrix:Y,u_tl_parent:D,u_scale_parent:J,u_buffer_scale:1,u_fade_t:q.mix,u_opacity:q.opacity*K.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:K.paint.get(\"raster-brightness-min\"),u_brightness_high:K.paint.get(\"raster-brightness-max\"),u_saturation_factor:_s(K.paint.get(\"raster-saturation\")),u_contrast_factor:no(K.paint.get(\"raster-contrast\")),u_spin_weights:va(K.paint.get(\"raster-hue-rotate\"))}};function va(Y){Y*=Math.PI/180;var D=Math.sin(Y),J=Math.cos(Y);return[(2*J+1)/3,(-Math.sqrt(3)*D-J+1)/3,(Math.sqrt(3)*D-J+1)/3]}function no(Y){return Y>0?1/(1-Y):1+Y}function _s(Y){return Y>0?1-1/(1.001-Y):-Y}var is=function(Y,D){return{u_is_size_zoom_constant:new i.Uniform1i(Y,D.u_is_size_zoom_constant),u_is_size_feature_constant:new i.Uniform1i(Y,D.u_is_size_feature_constant),u_size_t:new i.Uniform1f(Y,D.u_size_t),u_size:new i.Uniform1f(Y,D.u_size),u_camera_to_center_distance:new i.Uniform1f(Y,D.u_camera_to_center_distance),u_pitch:new i.Uniform1f(Y,D.u_pitch),u_rotate_symbol:new i.Uniform1i(Y,D.u_rotate_symbol),u_aspect_ratio:new i.Uniform1f(Y,D.u_aspect_ratio),u_fade_change:new i.Uniform1f(Y,D.u_fade_change),u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_label_plane_matrix:new i.UniformMatrix4f(Y,D.u_label_plane_matrix),u_coord_matrix:new i.UniformMatrix4f(Y,D.u_coord_matrix),u_is_text:new i.Uniform1i(Y,D.u_is_text),u_pitch_with_map:new i.Uniform1i(Y,D.u_pitch_with_map),u_texsize:new i.Uniform2f(Y,D.u_texsize),u_texture:new i.Uniform1i(Y,D.u_texture)}},$l=function(Y,D){return{u_is_size_zoom_constant:new i.Uniform1i(Y,D.u_is_size_zoom_constant),u_is_size_feature_constant:new i.Uniform1i(Y,D.u_is_size_feature_constant),u_size_t:new i.Uniform1f(Y,D.u_size_t),u_size:new i.Uniform1f(Y,D.u_size),u_camera_to_center_distance:new i.Uniform1f(Y,D.u_camera_to_center_distance),u_pitch:new i.Uniform1f(Y,D.u_pitch),u_rotate_symbol:new i.Uniform1i(Y,D.u_rotate_symbol),u_aspect_ratio:new i.Uniform1f(Y,D.u_aspect_ratio),u_fade_change:new i.Uniform1f(Y,D.u_fade_change),u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_label_plane_matrix:new i.UniformMatrix4f(Y,D.u_label_plane_matrix),u_coord_matrix:new i.UniformMatrix4f(Y,D.u_coord_matrix),u_is_text:new i.Uniform1i(Y,D.u_is_text),u_pitch_with_map:new i.Uniform1i(Y,D.u_pitch_with_map),u_texsize:new i.Uniform2f(Y,D.u_texsize),u_texture:new i.Uniform1i(Y,D.u_texture),u_gamma_scale:new i.Uniform1f(Y,D.u_gamma_scale),u_device_pixel_ratio:new i.Uniform1f(Y,D.u_device_pixel_ratio),u_is_halo:new i.Uniform1i(Y,D.u_is_halo)}},ku=function(Y,D){return{u_is_size_zoom_constant:new i.Uniform1i(Y,D.u_is_size_zoom_constant),u_is_size_feature_constant:new i.Uniform1i(Y,D.u_is_size_feature_constant),u_size_t:new i.Uniform1f(Y,D.u_size_t),u_size:new i.Uniform1f(Y,D.u_size),u_camera_to_center_distance:new i.Uniform1f(Y,D.u_camera_to_center_distance),u_pitch:new i.Uniform1f(Y,D.u_pitch),u_rotate_symbol:new i.Uniform1i(Y,D.u_rotate_symbol),u_aspect_ratio:new i.Uniform1f(Y,D.u_aspect_ratio),u_fade_change:new i.Uniform1f(Y,D.u_fade_change),u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_label_plane_matrix:new i.UniformMatrix4f(Y,D.u_label_plane_matrix),u_coord_matrix:new i.UniformMatrix4f(Y,D.u_coord_matrix),u_is_text:new i.Uniform1i(Y,D.u_is_text),u_pitch_with_map:new i.Uniform1i(Y,D.u_pitch_with_map),u_texsize:new i.Uniform2f(Y,D.u_texsize),u_texsize_icon:new i.Uniform2f(Y,D.u_texsize_icon),u_texture:new i.Uniform1i(Y,D.u_texture),u_texture_icon:new i.Uniform1i(Y,D.u_texture_icon),u_gamma_scale:new i.Uniform1f(Y,D.u_gamma_scale),u_device_pixel_ratio:new i.Uniform1f(Y,D.u_device_pixel_ratio),u_is_halo:new i.Uniform1i(Y,D.u_is_halo)}},Yu=function(Y,D,J,q,K,de,ne,we,Ue,ft){var Zt=K.transform;return{u_is_size_zoom_constant:+(Y===\"constant\"||Y===\"source\"),u_is_size_feature_constant:+(Y===\"constant\"||Y===\"camera\"),u_size_t:D?D.uSizeT:0,u_size:D?D.uSize:0,u_camera_to_center_distance:Zt.cameraToCenterDistance,u_pitch:Zt.pitch/360*2*Math.PI,u_rotate_symbol:+J,u_aspect_ratio:Zt.width/Zt.height,u_fade_change:K.options.fadeDuration?K.symbolFadeChange:1,u_matrix:de,u_label_plane_matrix:ne,u_coord_matrix:we,u_is_text:+Ue,u_pitch_with_map:+q,u_texsize:ft,u_texture:0}},Nc=function(Y,D,J,q,K,de,ne,we,Ue,ft,Zt){var hr=K.transform;return i.extend(Yu(Y,D,J,q,K,de,ne,we,Ue,ft),{u_gamma_scale:q?Math.cos(hr._pitch)*hr.cameraToCenterDistance:1,u_device_pixel_ratio:i.browser.devicePixelRatio,u_is_halo:+Zt})},gu=function(Y,D,J,q,K,de,ne,we,Ue,ft){return i.extend(Nc(Y,D,J,q,K,de,ne,we,!0,Ue,!0),{u_texsize_icon:ft,u_texture_icon:1})},Uc=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_opacity:new i.Uniform1f(Y,D.u_opacity),u_color:new i.UniformColor(Y,D.u_color)}},xu=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_opacity:new i.Uniform1f(Y,D.u_opacity),u_image:new i.Uniform1i(Y,D.u_image),u_pattern_tl_a:new i.Uniform2f(Y,D.u_pattern_tl_a),u_pattern_br_a:new i.Uniform2f(Y,D.u_pattern_br_a),u_pattern_tl_b:new i.Uniform2f(Y,D.u_pattern_tl_b),u_pattern_br_b:new i.Uniform2f(Y,D.u_pattern_br_b),u_texsize:new i.Uniform2f(Y,D.u_texsize),u_mix:new i.Uniform1f(Y,D.u_mix),u_pattern_size_a:new i.Uniform2f(Y,D.u_pattern_size_a),u_pattern_size_b:new i.Uniform2f(Y,D.u_pattern_size_b),u_scale_a:new i.Uniform1f(Y,D.u_scale_a),u_scale_b:new i.Uniform1f(Y,D.u_scale_b),u_pixel_coord_upper:new i.Uniform2f(Y,D.u_pixel_coord_upper),u_pixel_coord_lower:new i.Uniform2f(Y,D.u_pixel_coord_lower),u_tile_units_to_pixels:new i.Uniform1f(Y,D.u_tile_units_to_pixels)}},Ac=function(Y,D,J){return{u_matrix:Y,u_opacity:D,u_color:J}},Ua=function(Y,D,J,q,K,de){return i.extend(uf(q,de,J,K),{u_matrix:Y,u_opacity:D})},oo={fillExtrusion:Xf,fillExtrusionPattern:Wl,fill:Oc,fillPattern:Tc,fillOutline:wl,fillOutlinePattern:pu,circle:At,collisionBox:kr,collisionCircle:Ar,debug:Wi,clippingMask:Tn,heatmap:Zi,heatmapTexture:$i,hillshade:$n,hillshadePrepare:ka,line:Yn,lineGradient:zn,linePattern:Ka,lineSDF:bo,raster:Xs,symbolIcon:is,symbolSDF:$l,symbolTextAndIcon:ku,background:Uc,backgroundPattern:xu},Vc;function hc(Y,D,J,q,K,de,ne){for(var we=Y.context,Ue=we.gl,ft=Y.useProgram(\"collisionBox\"),Zt=[],hr=0,qt=0,Ve=0;Ve<q.length;Ve++){var et=q[Ve],at=D.getTile(et),kt=at.getBucket(J);if(kt){var Ot=et.posMatrix;(K[0]!==0||K[1]!==0)&&(Ot=Y.translatePosMatrix(et.posMatrix,at,K,de));var It=ne?kt.textCollisionBox:kt.iconCollisionBox,Bt=kt.collisionCircleArray;if(Bt.length>0){var Rt=i.create(),mt=Ot;i.mul(Rt,kt.placementInvProjMatrix,Y.transform.glCoordMatrix),i.mul(Rt,Rt,kt.placementViewportMatrix),Zt.push({circleArray:Bt,circleOffset:qt,transform:mt,invTransform:Rt}),hr+=Bt.length/4,qt=hr}It&&ft.draw(we,Ue.LINES,wn.disabled,kn.disabled,Y.colorModeForRenderPass(),Er.disabled,Kr(Ot,Y.transform,at),J.id,It.layoutVertexBuffer,It.indexBuffer,It.segments,null,Y.transform.zoom,null,null,It.collisionVertexBuffer)}}if(!(!ne||!Zt.length)){var Pt=Y.useProgram(\"collisionCircle\"),ht=new i.StructArrayLayout2f1f2i16;ht.resize(hr*4),ht._trim();for(var cr=0,br=0,Nr=Zt;br<Nr.length;br+=1)for(var Ri=Nr[br],hi=0;hi<Ri.circleArray.length/4;hi++){var wi=hi*4,gn=Ri.circleArray[wi+0],tn=Ri.circleArray[wi+1],Ci=Ri.circleArray[wi+2],qi=Ri.circleArray[wi+3];ht.emplace(cr++,gn,tn,Ci,qi,0),ht.emplace(cr++,gn,tn,Ci,qi,1),ht.emplace(cr++,gn,tn,Ci,qi,2),ht.emplace(cr++,gn,tn,Ci,qi,3)}(!Vc||Vc.length<hr*2)&&(Vc=Ku(hr));for(var Vi=we.createIndexBuffer(Vc,!0),on=we.createVertexBuffer(ht,i.collisionCircleLayout.members,!0),On=0,Ja=Zt;On<Ja.length;On+=1){var co=Ja[On],rs=Ei(co.transform,co.invTransform,Y.transform);Pt.draw(we,Ue.TRIANGLES,wn.disabled,kn.disabled,Y.colorModeForRenderPass(),Er.disabled,rs,J.id,on,Vi,i.SegmentVector.simpleSegment(0,co.circleOffset*2,co.circleArray.length,co.circleArray.length/2),null,Y.transform.zoom,null,null,null)}on.destroy(),Vi.destroy()}}function Ku(Y){var D=Y*2,J=new i.StructArrayLayout3ui6;J.resize(D),J._trim();for(var q=0;q<D;q++){var K=q*6;J.uint16[K+0]=q*4+0,J.uint16[K+1]=q*4+1,J.uint16[K+2]=q*4+2,J.uint16[K+3]=q*4+2,J.uint16[K+4]=q*4+3,J.uint16[K+5]=q*4+0}return J}var ue=i.identity(new Float32Array(16));function w(Y,D,J,q,K){if(Y.renderPass===\"translucent\"){var de=kn.disabled,ne=Y.colorModeForRenderPass(),we=J.layout.get(\"text-variable-anchor\");we&&Q(q,Y,J,D,J.layout.get(\"text-rotation-alignment\"),J.layout.get(\"text-pitch-alignment\"),K),J.paint.get(\"icon-opacity\").constantOr(1)!==0&&qe(Y,D,J,q,!1,J.paint.get(\"icon-translate\"),J.paint.get(\"icon-translate-anchor\"),J.layout.get(\"icon-rotation-alignment\"),J.layout.get(\"icon-pitch-alignment\"),J.layout.get(\"icon-keep-upright\"),de,ne),J.paint.get(\"text-opacity\").constantOr(1)!==0&&qe(Y,D,J,q,!0,J.paint.get(\"text-translate\"),J.paint.get(\"text-translate-anchor\"),J.layout.get(\"text-rotation-alignment\"),J.layout.get(\"text-pitch-alignment\"),J.layout.get(\"text-keep-upright\"),de,ne),D.map.showCollisionBoxes&&(hc(Y,D,J,q,J.paint.get(\"text-translate\"),J.paint.get(\"text-translate-anchor\"),!0),hc(Y,D,J,q,J.paint.get(\"icon-translate\"),J.paint.get(\"icon-translate-anchor\"),!1))}}function B(Y,D,J,q,K,de){var ne=i.getAnchorAlignment(Y),we=ne.horizontalAlign,Ue=ne.verticalAlign,ft=-(we-.5)*D,Zt=-(Ue-.5)*J,hr=i.evaluateVariableOffset(Y,q);return new i.Point((ft/K+hr[0])*de,(Zt/K+hr[1])*de)}function Q(Y,D,J,q,K,de,ne){for(var we=D.transform,Ue=K===\"map\",ft=de===\"map\",Zt=0,hr=Y;Zt<hr.length;Zt+=1){var qt=hr[Zt],Ve=q.getTile(qt),et=Ve.getBucket(J);if(!(!et||!et.text||!et.text.segments.get().length)){var at=et.textSizeData,kt=i.evaluateSizeForZoom(at,we.zoom),Ot=Ss(Ve,1,D.transform.zoom),It=_n(qt.posMatrix,ft,Ue,D.transform,Ot),Bt=J.layout.get(\"icon-text-fit\")!==\"none\"&&et.hasIconData();if(kt){var Rt=Math.pow(2,we.zoom-Ve.tileID.overscaledZ);ee(et,Ue,ft,ne,i.symbolSize,we,It,qt.posMatrix,Rt,kt,Bt)}}}}function ee(Y,D,J,q,K,de,ne,we,Ue,ft,Zt){var hr=Y.text.placedSymbolArray,qt=Y.text.dynamicLayoutVertexArray,Ve=Y.icon.dynamicLayoutVertexArray,et={};qt.clear();for(var at=0;at<hr.length;at++){var kt=hr.get(at),Ot=Y.allowVerticalPlacement&&!kt.placedOrientation,It=!kt.hidden&&kt.crossTileID&&!Ot?q[kt.crossTileID]:null;if(!It)cl(kt.numGlyphs,qt);else{var Bt=new i.Point(kt.anchorX,kt.anchorY),Rt=Jn(Bt,J?we:ne),mt=Ma(de.cameraToCenterDistance,Rt.signedDistanceFromCamera),Pt=K.evaluateSizeForFeature(Y.textSizeData,ft,kt)*mt/i.ONE_EM;J&&(Pt*=Y.tilePixelRatio/Ue);for(var ht=It.width,cr=It.height,br=It.anchor,Nr=It.textOffset,Ri=It.textBoxScale,hi=B(br,ht,cr,Nr,Ri,Pt),wi=J?Jn(Bt.add(hi),ne).point:Rt.point.add(D?hi.rotate(-de.angle):hi),gn=Y.allowVerticalPlacement&&kt.placedOrientation===i.WritingMode.vertical?Math.PI/2:0,tn=0;tn<kt.numGlyphs;tn++)i.addDynamicAttributes(qt,wi,gn);Zt&&kt.associatedIconIndex>=0&&(et[kt.associatedIconIndex]={shiftedAnchor:wi,angle:gn})}}if(Zt){Ve.clear();for(var Ci=Y.icon.placedSymbolArray,qi=0;qi<Ci.length;qi++){var Vi=Ci.get(qi);if(Vi.hidden)cl(Vi.numGlyphs,Ve);else{var on=et[qi];if(!on)cl(Vi.numGlyphs,Ve);else for(var On=0;On<Vi.numGlyphs;On++)i.addDynamicAttributes(Ve,on.shiftedAnchor,on.angle)}}Y.icon.dynamicLayoutVertexBuffer.updateData(Ve)}Y.text.dynamicLayoutVertexBuffer.updateData(qt)}function le(Y,D,J){return J.iconsInText&&D?\"symbolTextAndIcon\":Y?\"symbolSDF\":\"symbolIcon\"}function qe(Y,D,J,q,K,de,ne,we,Ue,ft,Zt,hr){for(var qt=Y.context,Ve=qt.gl,et=Y.transform,at=we===\"map\",kt=Ue===\"map\",Ot=at&&J.layout.get(\"symbol-placement\")!==\"point\",It=at&&!kt&&!Ot,Bt=J.layout.get(\"symbol-sort-key\").constantOr(1)!==void 0,Rt=!1,mt=Y.depthModeForSublayer(0,wn.ReadOnly),Pt=J.layout.get(\"text-variable-anchor\"),ht=[],cr=0,br=q;cr<br.length;cr+=1){var Nr=br[cr],Ri=D.getTile(Nr),hi=Ri.getBucket(J);if(hi){var wi=K?hi.text:hi.icon;if(!(!wi||!wi.segments.get().length)){var gn=wi.programConfigurations.get(J.id),tn=K||hi.sdfIcons,Ci=K?hi.textSizeData:hi.iconSizeData,qi=kt||et.pitch!==0,Vi=Y.useProgram(le(tn,K,hi),gn),on=i.evaluateSizeForZoom(Ci,et.zoom),On=void 0,Ja=[0,0],co=void 0,rs=void 0,so=null,Zo=void 0;if(K){if(co=Ri.glyphAtlasTexture,rs=Ve.LINEAR,On=Ri.glyphAtlasTexture.size,hi.iconsInText){Ja=Ri.imageAtlasTexture.size,so=Ri.imageAtlasTexture;var ys=Ci.kind===\"composite\"||Ci.kind===\"camera\";Zo=qi||Y.options.rotating||Y.options.zooming||ys?Ve.LINEAR:Ve.NEAREST}}else{var su=J.layout.get(\"icon-size\").constantOr(0)!==1||hi.iconsNeedLinear;co=Ri.imageAtlasTexture,rs=tn||Y.options.rotating||Y.options.zooming||su||qi?Ve.LINEAR:Ve.NEAREST,On=Ri.imageAtlasTexture.size}var Mv=Ss(Ri,1,Y.transform.zoom),Ev=_n(Nr.posMatrix,kt,at,Y.transform,Mv),wd=ya(Nr.posMatrix,kt,at,Y.transform,Mv),Yv=Pt&&hi.hasTextData(),cg=J.layout.get(\"icon-text-fit\")!==\"none\"&&Yv&&hi.hasIconData();Ot&&No(hi,Nr.posMatrix,Y,K,Ev,wd,kt,ft);var dp=Y.translatePosMatrix(Nr.posMatrix,Ri,de,ne),Td=Ot||K&&Pt||cg?ue:Ev,vp=Y.translatePosMatrix(wd,Ri,de,ne,!0),Vd=tn&&J.paint.get(K?\"text-halo-width\":\"icon-halo-width\").constantOr(1)!==0,Ad=void 0;tn?hi.iconsInText?Ad=gu(Ci.kind,on,It,kt,Y,dp,Td,vp,On,Ja):Ad=Nc(Ci.kind,on,It,kt,Y,dp,Td,vp,K,On,!0):Ad=Yu(Ci.kind,on,It,kt,Y,dp,Td,vp,K,On);var Cv={program:Vi,buffers:wi,uniformValues:Ad,atlasTexture:co,atlasTextureIcon:so,atlasInterpolation:rs,atlasInterpolationIcon:Zo,isSDF:tn,hasHalo:Vd};if(Bt&&hi.canOverlap){Rt=!0;for(var Kv=wi.segments.get(),kv=0,ny=Kv;kv<ny.length;kv+=1){var fg=ny[kv];ht.push({segments:new i.SegmentVector([fg]),sortKey:fg.sortKey,state:Cv})}}else ht.push({segments:wi.segments,sortKey:0,state:Cv})}}}Rt&&ht.sort(function(w1,T1){return w1.sortKey-T1.sortKey});for(var oh=0,hg=ht;oh<hg.length;oh+=1){var ay=hg[oh],Gh=ay.state;if(qt.activeTexture.set(Ve.TEXTURE0),Gh.atlasTexture.bind(Gh.atlasInterpolation,Ve.CLAMP_TO_EDGE),Gh.atlasTextureIcon&&(qt.activeTexture.set(Ve.TEXTURE1),Gh.atlasTextureIcon&&Gh.atlasTextureIcon.bind(Gh.atlasInterpolationIcon,Ve.CLAMP_TO_EDGE)),Gh.isSDF){var rm=Gh.uniformValues;Gh.hasHalo&&(rm.u_is_halo=1,Xe(Gh.buffers,ay.segments,J,Y,Gh.program,mt,Zt,hr,rm)),rm.u_is_halo=0}Xe(Gh.buffers,ay.segments,J,Y,Gh.program,mt,Zt,hr,Gh.uniformValues)}}function Xe(Y,D,J,q,K,de,ne,we,Ue){var ft=q.context,Zt=ft.gl;K.draw(ft,Zt.TRIANGLES,de,ne,we,Er.disabled,Ue,J.id,Y.layoutVertexBuffer,Y.indexBuffer,D,J.paint,q.transform.zoom,Y.programConfigurations.get(J.id),Y.dynamicLayoutVertexBuffer,Y.opacityVertexBuffer)}function ot(Y,D,J,q){if(Y.renderPass===\"translucent\"){var K=J.paint.get(\"circle-opacity\"),de=J.paint.get(\"circle-stroke-width\"),ne=J.paint.get(\"circle-stroke-opacity\"),we=J.layout.get(\"circle-sort-key\").constantOr(1)!==void 0;if(!(K.constantOr(1)===0&&(de.constantOr(1)===0||ne.constantOr(1)===0))){for(var Ue=Y.context,ft=Ue.gl,Zt=Y.depthModeForSublayer(0,wn.ReadOnly),hr=kn.disabled,qt=Y.colorModeForRenderPass(),Ve=[],et=0;et<q.length;et++){var at=q[et],kt=D.getTile(at),Ot=kt.getBucket(J);if(Ot){var It=Ot.programConfigurations.get(J.id),Bt=Y.useProgram(\"circle\",It),Rt=Ot.layoutVertexBuffer,mt=Ot.indexBuffer,Pt=Xt(Y,at,kt,J),ht={programConfiguration:It,program:Bt,layoutVertexBuffer:Rt,indexBuffer:mt,uniformValues:Pt};if(we)for(var cr=Ot.segments.get(),br=0,Nr=cr;br<Nr.length;br+=1){var Ri=Nr[br];Ve.push({segments:new i.SegmentVector([Ri]),sortKey:Ri.sortKey,state:ht})}else Ve.push({segments:Ot.segments,sortKey:0,state:ht})}}we&&Ve.sort(function(co,rs){return co.sortKey-rs.sortKey});for(var hi=0,wi=Ve;hi<wi.length;hi+=1){var gn=wi[hi],tn=gn.state,Ci=tn.programConfiguration,qi=tn.program,Vi=tn.layoutVertexBuffer,on=tn.indexBuffer,On=tn.uniformValues,Ja=gn.segments;qi.draw(Ue,ft.TRIANGLES,Zt,hr,qt,Er.disabled,On,J.id,Vi,on,Ja,J.paint,Y.transform.zoom,Ci)}}}}function Tt(Y,D,J,q){if(J.paint.get(\"heatmap-opacity\")!==0)if(Y.renderPass===\"offscreen\"){var K=Y.context,de=K.gl,ne=kn.disabled,we=new _t([de.ONE,de.ONE],i.Color.transparent,[!0,!0,!0,!0]);Kt(K,Y,J),K.clear({color:i.Color.transparent});for(var Ue=0;Ue<q.length;Ue++){var ft=q[Ue];if(!D.hasRenderableParent(ft)){var Zt=D.getTile(ft),hr=Zt.getBucket(J);if(hr){var qt=hr.programConfigurations.get(J.id),Ve=Y.useProgram(\"heatmap\",qt),et=Y.transform,at=et.zoom;Ve.draw(K,de.TRIANGLES,wn.disabled,ne,we,Er.disabled,an(ft.posMatrix,Zt,at,J.paint.get(\"heatmap-intensity\")),J.id,hr.layoutVertexBuffer,hr.indexBuffer,hr.segments,J.paint,Y.transform.zoom,qt)}}}K.viewport.set([0,0,Y.width,Y.height])}else Y.renderPass===\"translucent\"&&(Y.context.setColorMode(Y.colorModeForRenderPass()),xr(Y,J))}function Kt(Y,D,J){var q=Y.gl;Y.activeTexture.set(q.TEXTURE1),Y.viewport.set([0,0,D.width/4,D.height/4]);var K=J.heatmapFbo;if(K)q.bindTexture(q.TEXTURE_2D,K.colorAttachment.get()),Y.bindFramebuffer.set(K.framebuffer);else{var de=q.createTexture();q.bindTexture(q.TEXTURE_2D,de),q.texParameteri(q.TEXTURE_2D,q.TEXTURE_WRAP_S,q.CLAMP_TO_EDGE),q.texParameteri(q.TEXTURE_2D,q.TEXTURE_WRAP_T,q.CLAMP_TO_EDGE),q.texParameteri(q.TEXTURE_2D,q.TEXTURE_MIN_FILTER,q.LINEAR),q.texParameteri(q.TEXTURE_2D,q.TEXTURE_MAG_FILTER,q.LINEAR),K=J.heatmapFbo=Y.createFramebuffer(D.width/4,D.height/4,!1),Jt(Y,D,de,K)}}function Jt(Y,D,J,q){var K=Y.gl,de=Y.extRenderToTextureHalfFloat?Y.extTextureHalfFloat.HALF_FLOAT_OES:K.UNSIGNED_BYTE;K.texImage2D(K.TEXTURE_2D,0,K.RGBA,D.width/4,D.height/4,0,K.RGBA,de,null),q.colorAttachment.set(J)}function xr(Y,D){var J=Y.context,q=J.gl,K=D.heatmapFbo;if(K){J.activeTexture.set(q.TEXTURE0),q.bindTexture(q.TEXTURE_2D,K.colorAttachment.get()),J.activeTexture.set(q.TEXTURE1);var de=D.colorRampTexture;de||(de=D.colorRampTexture=new i.Texture(J,D.colorRamp,q.RGBA)),de.bind(q.LINEAR,q.CLAMP_TO_EDGE),Y.useProgram(\"heatmapTexture\").draw(J,q.TRIANGLES,wn.disabled,kn.disabled,Y.colorModeForRenderPass(),Er.disabled,Di(Y,D,0,1),D.id,Y.viewportBuffer,Y.quadTriangleIndexBuffer,Y.viewportSegments,D.paint,Y.transform.zoom)}}function Pr(Y,D,J,q){if(Y.renderPass===\"translucent\"){var K=J.paint.get(\"line-opacity\"),de=J.paint.get(\"line-width\");if(!(K.constantOr(1)===0||de.constantOr(1)===0))for(var ne=Y.depthModeForSublayer(0,wn.ReadOnly),we=Y.colorModeForRenderPass(),Ue=J.paint.get(\"line-dasharray\"),ft=J.paint.get(\"line-pattern\"),Zt=ft.constantOr(1),hr=J.paint.get(\"line-gradient\"),qt=J.getCrossfadeParameters(),Ve=Zt?\"linePattern\":Ue?\"lineSDF\":hr?\"lineGradient\":\"line\",et=Y.context,at=et.gl,kt=!0,Ot=0,It=q;Ot<It.length;Ot+=1){var Bt=It[Ot],Rt=D.getTile(Bt);if(!(Zt&&!Rt.patternsLoaded())){var mt=Rt.getBucket(J);if(mt){var Pt=mt.programConfigurations.get(J.id),ht=Y.context.program.get(),cr=Y.useProgram(Ve,Pt),br=kt||cr.program!==ht,Nr=ft.constantOr(null);if(Nr&&Rt.imageAtlas){var Ri=Rt.imageAtlas,hi=Ri.patternPositions[Nr.to.toString()],wi=Ri.patternPositions[Nr.from.toString()];hi&&wi&&Pt.setConstantPatternPositions(hi,wi)}var gn=Zt?os(Y,Rt,J,qt):Ue?Ts(Y,Rt,J,Ue,qt):hr?Ms(Y,Rt,J,mt.lineClipsArray.length):Xo(Y,Rt,J);if(Zt)et.activeTexture.set(at.TEXTURE0),Rt.imageAtlasTexture.bind(at.LINEAR,at.CLAMP_TO_EDGE),Pt.updatePaintBuffers(qt);else if(Ue&&(br||Y.lineAtlas.dirty))et.activeTexture.set(at.TEXTURE0),Y.lineAtlas.bind(et);else if(hr){var tn=mt.gradients[J.id],Ci=tn.texture;if(J.gradientVersion!==tn.version){var qi=256;if(J.stepInterpolant){var Vi=D.getSource().maxzoom,on=Bt.canonical.z===Vi?Math.ceil(1<<Y.transform.maxZoom-Bt.canonical.z):1,On=mt.maxLineLength/i.EXTENT,Ja=1024,co=On*Ja*on;qi=i.clamp(i.nextPowerOfTwo(co),256,et.maxTextureSize)}tn.gradient=i.renderColorRamp({expression:J.gradientExpression(),evaluationKey:\"lineProgress\",resolution:qi,image:tn.gradient||void 0,clips:mt.lineClipsArray}),tn.texture?tn.texture.update(tn.gradient):tn.texture=new i.Texture(et,tn.gradient,at.RGBA),tn.version=J.gradientVersion,Ci=tn.texture}et.activeTexture.set(at.TEXTURE0),Ci.bind(J.stepInterpolant?at.NEAREST:at.LINEAR,at.CLAMP_TO_EDGE)}cr.draw(et,at.TRIANGLES,ne,Y.stencilModeForClipping(Bt),we,Er.disabled,gn,J.id,mt.layoutVertexBuffer,mt.indexBuffer,mt.segments,J.paint,Y.transform.zoom,Pt,mt.layoutVertexBuffer2),kt=!1}}}}}function ve(Y,D,J,q){var K=J.paint.get(\"fill-color\"),de=J.paint.get(\"fill-opacity\");if(de.constantOr(1)!==0){var ne=Y.colorModeForRenderPass(),we=J.paint.get(\"fill-pattern\"),Ue=Y.opaquePassEnabledForLayer()&&!we.constantOr(1)&&K.constantOr(i.Color.transparent).a===1&&de.constantOr(0)===1?\"opaque\":\"translucent\";if(Y.renderPass===Ue){var ft=Y.depthModeForSublayer(1,Y.renderPass===\"opaque\"?wn.ReadWrite:wn.ReadOnly);be(Y,D,J,q,ft,ne,!1)}if(Y.renderPass===\"translucent\"&&J.paint.get(\"fill-antialias\")){var Zt=Y.depthModeForSublayer(J.getPaintProperty(\"fill-outline-color\")?2:0,wn.ReadOnly);be(Y,D,J,q,Zt,ne,!0)}}}function be(Y,D,J,q,K,de,ne){var we=Y.context.gl,Ue=J.paint.get(\"fill-pattern\"),ft=Ue&&Ue.constantOr(1),Zt=J.getCrossfadeParameters(),hr,qt,Ve,et,at;ne?(qt=ft&&!J.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",hr=we.LINES):(qt=ft?\"fillPattern\":\"fill\",hr=we.TRIANGLES);for(var kt=0,Ot=q;kt<Ot.length;kt+=1){var It=Ot[kt],Bt=D.getTile(It);if(!(ft&&!Bt.patternsLoaded())){var Rt=Bt.getBucket(J);if(Rt){var mt=Rt.programConfigurations.get(J.id),Pt=Y.useProgram(qt,mt);ft&&(Y.context.activeTexture.set(we.TEXTURE0),Bt.imageAtlasTexture.bind(we.LINEAR,we.CLAMP_TO_EDGE),mt.updatePaintBuffers(Zt));var ht=Ue.constantOr(null);if(ht&&Bt.imageAtlas){var cr=Bt.imageAtlas,br=cr.patternPositions[ht.to.toString()],Nr=cr.patternPositions[ht.from.toString()];br&&Nr&&mt.setConstantPatternPositions(br,Nr)}var Ri=Y.translatePosMatrix(It.posMatrix,Bt,J.paint.get(\"fill-translate\"),J.paint.get(\"fill-translate-anchor\"));if(!ne)et=Rt.indexBuffer,at=Rt.segments,Ve=ft?cf(Ri,Y,Zt,Bt):qc(Ri);else{et=Rt.indexBuffer2,at=Rt.segments2;var hi=[we.drawingBufferWidth,we.drawingBufferHeight];Ve=qt===\"fillOutlinePattern\"&&ft?Bc(Ri,Y,Zt,Bt,hi):fc(Ri,hi)}Pt.draw(Y.context,hr,K,Y.stencilModeForClipping(It),de,Er.disabled,Ve,J.id,Rt.layoutVertexBuffer,et,at,J.paint,Y.transform.zoom,mt)}}}}function Re(Y,D,J,q){var K=J.paint.get(\"fill-extrusion-opacity\");if(K!==0&&Y.renderPass===\"translucent\"){var de=new wn(Y.context.gl.LEQUAL,wn.ReadWrite,Y.depthRangeFor3D);if(K===1&&!J.paint.get(\"fill-extrusion-pattern\").constantOr(1)){var ne=Y.colorModeForRenderPass();Be(Y,D,J,q,de,kn.disabled,ne)}else Be(Y,D,J,q,de,kn.disabled,_t.disabled),Be(Y,D,J,q,de,Y.stencilModeFor3D(),Y.colorModeForRenderPass())}}function Be(Y,D,J,q,K,de,ne){for(var we=Y.context,Ue=we.gl,ft=J.paint.get(\"fill-extrusion-pattern\"),Zt=ft.constantOr(1),hr=J.getCrossfadeParameters(),qt=J.paint.get(\"fill-extrusion-opacity\"),Ve=0,et=q;Ve<et.length;Ve+=1){var at=et[Ve],kt=D.getTile(at),Ot=kt.getBucket(J);if(Ot){var It=Ot.programConfigurations.get(J.id),Bt=Y.useProgram(Zt?\"fillExtrusionPattern\":\"fillExtrusion\",It);Zt&&(Y.context.activeTexture.set(Ue.TEXTURE0),kt.imageAtlasTexture.bind(Ue.LINEAR,Ue.CLAMP_TO_EDGE),It.updatePaintBuffers(hr));var Rt=ft.constantOr(null);if(Rt&&kt.imageAtlas){var mt=kt.imageAtlas,Pt=mt.patternPositions[Rt.to.toString()],ht=mt.patternPositions[Rt.from.toString()];Pt&&ht&&It.setConstantPatternPositions(Pt,ht)}var cr=Y.translatePosMatrix(at.posMatrix,kt,J.paint.get(\"fill-extrusion-translate\"),J.paint.get(\"fill-extrusion-translate-anchor\")),br=J.paint.get(\"fill-extrusion-vertical-gradient\"),Nr=Zt?Zu(cr,Y,br,qt,at,hr,kt):ah(cr,Y,br,qt);Bt.draw(we,we.gl.TRIANGLES,K,de,ne,Er.backCCW,Nr,J.id,Ot.layoutVertexBuffer,Ot.indexBuffer,Ot.segments,J.paint,Y.transform.zoom,It)}}}function tt(Y,D,J,q){if(!(Y.renderPass!==\"offscreen\"&&Y.renderPass!==\"translucent\")){for(var K=Y.context,de=Y.depthModeForSublayer(0,wn.ReadOnly),ne=Y.colorModeForRenderPass(),we=Y.renderPass===\"translucent\"?Y.stencilConfigForOverlap(q):[{},q],Ue=we[0],ft=we[1],Zt=0,hr=ft;Zt<hr.length;Zt+=1){var qt=hr[Zt],Ve=D.getTile(qt);Ve.needsHillshadePrepare&&Y.renderPass===\"offscreen\"?it(Y,Ve,J,de,kn.disabled,ne):Y.renderPass===\"translucent\"&&We(Y,Ve,J,de,Ue[qt.overscaledZ],ne)}K.viewport.set([0,0,Y.width,Y.height])}}function We(Y,D,J,q,K,de){var ne=Y.context,we=ne.gl,Ue=D.fbo;if(Ue){var ft=Y.useProgram(\"hillshade\");ne.activeTexture.set(we.TEXTURE0),we.bindTexture(we.TEXTURE_2D,Ue.colorAttachment.get());var Zt=Ra(Y,D,J);ft.draw(ne,we.TRIANGLES,q,K,de,Er.disabled,Zt,J.id,Y.rasterBoundsBuffer,Y.quadTriangleIndexBuffer,Y.rasterBoundsSegments)}}function it(Y,D,J,q,K,de){var ne=Y.context,we=ne.gl,Ue=D.dem;if(Ue&&Ue.data){var ft=Ue.dim,Zt=Ue.stride,hr=Ue.getPixels();if(ne.activeTexture.set(we.TEXTURE1),ne.pixelStoreUnpackPremultiplyAlpha.set(!1),D.demTexture=D.demTexture||Y.getTileTexture(Zt),D.demTexture){var qt=D.demTexture;qt.update(hr,{premultiply:!1}),qt.bind(we.NEAREST,we.CLAMP_TO_EDGE)}else D.demTexture=new i.Texture(ne,hr,we.RGBA,{premultiply:!1}),D.demTexture.bind(we.NEAREST,we.CLAMP_TO_EDGE);ne.activeTexture.set(we.TEXTURE0);var Ve=D.fbo;if(!Ve){var et=new i.Texture(ne,{width:ft,height:ft,data:null},we.RGBA);et.bind(we.LINEAR,we.CLAMP_TO_EDGE),Ve=D.fbo=ne.createFramebuffer(ft,ft,!0),Ve.colorAttachment.set(et.texture)}ne.bindFramebuffer.set(Ve.framebuffer),ne.viewport.set([0,0,ft,ft]),Y.useProgram(\"hillshadePrepare\").draw(ne,we.TRIANGLES,q,K,de,Er.disabled,La(D.tileID,Ue),J.id,Y.rasterBoundsBuffer,Y.quadTriangleIndexBuffer,Y.rasterBoundsSegments),D.needsHillshadePrepare=!1}}function Dt(Y,D,J,q){if(Y.renderPass===\"translucent\"&&J.paint.get(\"raster-opacity\")!==0&&q.length)for(var K=Y.context,de=K.gl,ne=D.getSource(),we=Y.useProgram(\"raster\"),Ue=Y.colorModeForRenderPass(),ft=ne instanceof ke?[{},q]:Y.stencilConfigForOverlap(q),Zt=ft[0],hr=ft[1],qt=hr[hr.length-1].overscaledZ,Ve=!Y.options.moving,et=0,at=hr;et<at.length;et+=1){var kt=at[et],Ot=Y.depthModeForSublayer(kt.overscaledZ-qt,J.paint.get(\"raster-opacity\")===1?wn.ReadWrite:wn.ReadOnly,de.LESS),It=D.getTile(kt),Bt=Y.transform.calculatePosMatrix(kt.toUnwrapped(),Ve);It.registerFadeDuration(J.paint.get(\"raster-fade-duration\"));var Rt=D.findLoadedParent(kt,0),mt=Ht(It,Rt,D,J,Y.transform),Pt=void 0,ht=void 0,cr=J.paint.get(\"raster-resampling\")===\"nearest\"?de.NEAREST:de.LINEAR;K.activeTexture.set(de.TEXTURE0),It.texture.bind(cr,de.CLAMP_TO_EDGE,de.LINEAR_MIPMAP_NEAREST),K.activeTexture.set(de.TEXTURE1),Rt?(Rt.texture.bind(cr,de.CLAMP_TO_EDGE,de.LINEAR_MIPMAP_NEAREST),Pt=Math.pow(2,Rt.tileID.overscaledZ-It.tileID.overscaledZ),ht=[It.tileID.canonical.x*Pt%1,It.tileID.canonical.y*Pt%1]):It.texture.bind(cr,de.CLAMP_TO_EDGE,de.LINEAR_MIPMAP_NEAREST);var br=Ps(Bt,ht||[0,0],Pt||1,mt,J);ne instanceof ke?we.draw(K,de.TRIANGLES,Ot,kn.disabled,Ue,Er.disabled,br,J.id,ne.boundsBuffer,Y.quadTriangleIndexBuffer,ne.boundsSegments):we.draw(K,de.TRIANGLES,Ot,Zt[kt.overscaledZ],Ue,Er.disabled,br,J.id,Y.rasterBoundsBuffer,Y.quadTriangleIndexBuffer,Y.rasterBoundsSegments)}}function Ht(Y,D,J,q,K){var de=q.paint.get(\"raster-fade-duration\");if(de>0){var ne=i.browser.now(),we=(ne-Y.timeAdded)/de,Ue=D?(ne-D.timeAdded)/de:-1,ft=J.getSource(),Zt=K.coveringZoomLevel({tileSize:ft.tileSize,roundZoom:ft.roundZoom}),hr=!D||Math.abs(D.tileID.overscaledZ-Zt)>Math.abs(Y.tileID.overscaledZ-Zt),qt=hr&&Y.refreshedUponExpiration?1:i.clamp(hr?we:1-Ue,0,1);return Y.refreshedUponExpiration&&we>=1&&(Y.refreshedUponExpiration=!1),D?{opacity:1,mix:1-qt}:{opacity:qt,mix:0}}else return{opacity:1,mix:0}}function rr(Y,D,J){var q=J.paint.get(\"background-color\"),K=J.paint.get(\"background-opacity\");if(K!==0){var de=Y.context,ne=de.gl,we=Y.transform,Ue=we.tileSize,ft=J.paint.get(\"background-pattern\");if(!Y.isPatternMissing(ft)){var Zt=!ft&&q.a===1&&K===1&&Y.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(Y.renderPass===Zt){var hr=kn.disabled,qt=Y.depthModeForSublayer(0,Zt===\"opaque\"?wn.ReadWrite:wn.ReadOnly),Ve=Y.colorModeForRenderPass(),et=Y.useProgram(ft?\"backgroundPattern\":\"background\"),at=we.coveringTiles({tileSize:Ue});ft&&(de.activeTexture.set(ne.TEXTURE0),Y.imageManager.bind(Y.context));for(var kt=J.getCrossfadeParameters(),Ot=0,It=at;Ot<It.length;Ot+=1){var Bt=It[Ot],Rt=Y.transform.calculatePosMatrix(Bt.toUnwrapped()),mt=ft?Ua(Rt,K,Y,ft,{tileID:Bt,tileSize:Ue},kt):Ac(Rt,K,q);et.draw(de,ne.TRIANGLES,qt,hr,Ve,Er.disabled,mt,J.id,Y.tileExtentBuffer,Y.quadTriangleIndexBuffer,Y.tileExtentSegments)}}}}}var dr=new i.Color(1,0,0,1),Sr=new i.Color(0,1,0,1),Or=new i.Color(0,0,1,1),jr=new i.Color(1,0,1,1),ii=new i.Color(0,1,1,1);function Li(Y){var D=Y.transform.padding,J=3;sn(Y,Y.transform.height-(D.top||0),J,dr),sn(Y,D.bottom||0,J,Sr),In(Y,D.left||0,J,Or),In(Y,Y.transform.width-(D.right||0),J,jr);var q=Y.transform.centerPoint;un(Y,q.x,Y.transform.height-q.y,ii)}function un(Y,D,J,q){var K=20,de=2;Kn(Y,D-de/2,J-K/2,de,K,q),Kn(Y,D-K/2,J-de/2,K,de,q)}function sn(Y,D,J,q){Kn(Y,0,D+J/2,Y.transform.width,J,q)}function In(Y,D,J,q){Kn(Y,D-J/2,0,J,Y.transform.height,q)}function Kn(Y,D,J,q,K,de){var ne=Y.context,we=ne.gl;we.enable(we.SCISSOR_TEST),we.scissor(D*i.browser.devicePixelRatio,J*i.browser.devicePixelRatio,q*i.browser.devicePixelRatio,K*i.browser.devicePixelRatio),ne.clear({color:de}),we.disable(we.SCISSOR_TEST)}function Aa(Y,D,J){for(var q=0;q<J.length;q++)fa(Y,D,J[q])}function fa(Y,D,J){var q=Y.context,K=q.gl,de=J.posMatrix,ne=Y.useProgram(\"debug\"),we=wn.disabled,Ue=kn.disabled,ft=Y.colorModeForRenderPass(),Zt=\"$debug\";q.activeTexture.set(K.TEXTURE0),Y.emptyTexture.bind(K.LINEAR,K.CLAMP_TO_EDGE),ne.draw(q,K.LINE_STRIP,we,Ue,ft,Er.disabled,hn(de,i.Color.red),Zt,Y.debugBuffer,Y.tileBorderIndexBuffer,Y.debugSegments);var hr=D.getTileByID(J.key).latestRawTileData,qt=hr&&hr.byteLength||0,Ve=Math.floor(qt/1024),et=D.getTile(J).tileSize,at=512/Math.min(et,512)*(J.overscaledZ/Y.transform.zoom)*.5,kt=J.canonical.toString();J.overscaledZ!==J.canonical.z&&(kt+=\" => \"+J.overscaledZ);var Ot=kt+\" \"+Ve+\"kb\";$a(Y,Ot),ne.draw(q,K.TRIANGLES,we,Ue,_t.alphaBlended,Er.disabled,hn(de,i.Color.transparent,at),Zt,Y.debugBuffer,Y.quadTriangleIndexBuffer,Y.debugSegments)}function $a(Y,D){Y.initDebugOverlayCanvas();var J=Y.debugOverlayCanvas,q=Y.context.gl,K=Y.debugOverlayCanvas.getContext(\"2d\");K.clearRect(0,0,J.width,J.height),K.shadowColor=\"white\",K.shadowBlur=2,K.lineWidth=1.5,K.strokeStyle=\"white\",K.textBaseline=\"top\",K.font=\"bold 36px Open Sans, sans-serif\",K.fillText(D,5,5),K.strokeText(D,5,5),Y.debugOverlayTexture.update(J),Y.debugOverlayTexture.bind(q.LINEAR,q.CLAMP_TO_EDGE)}function ko(Y,D,J){var q=Y.context,K=J.implementation;if(Y.renderPass===\"offscreen\"){var de=K.prerender;de&&(Y.setCustomLayerDefaults(),q.setColorMode(Y.colorModeForRenderPass()),de.call(K,q.gl,Y.transform.customLayerMatrix()),q.setDirty(),Y.setBaseState())}else if(Y.renderPass===\"translucent\"){Y.setCustomLayerDefaults(),q.setColorMode(Y.colorModeForRenderPass()),q.setStencilMode(kn.disabled);var ne=K.renderingMode===\"3d\"?new wn(Y.context.gl.LEQUAL,wn.ReadWrite,Y.depthRangeFor3D):Y.depthModeForSublayer(0,wn.ReadOnly);q.setDepthMode(ne),K.render(q.gl,Y.transform.customLayerMatrix()),q.setDirty(),Y.setBaseState(),q.bindFramebuffer.set(null)}}var Qa={symbol:w,circle:ot,heatmap:Tt,line:Pr,fill:ve,\"fill-extrusion\":Re,hillshade:tt,raster:Dt,background:rr,debug:Aa,custom:ko},mo=function(D,J){this.context=new Zr(D),this.transform=J,this._tileTextures={},this.setup(),this.numSublayers=ri.maxUnderzooming+ri.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Uf,this.gpuTimers={}};mo.prototype.resize=function(D,J){if(this.width=D*i.browser.devicePixelRatio,this.height=J*i.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var q=0,K=this.style._order;q<K.length;q+=1){var de=K[q];this.style._layers[de].resize()}},mo.prototype.setup=function(){var D=this.context,J=new i.StructArrayLayout2i4;J.emplaceBack(0,0),J.emplaceBack(i.EXTENT,0),J.emplaceBack(0,i.EXTENT),J.emplaceBack(i.EXTENT,i.EXTENT),this.tileExtentBuffer=D.createVertexBuffer(J,oc.members),this.tileExtentSegments=i.SegmentVector.simpleSegment(0,0,4,2);var q=new i.StructArrayLayout2i4;q.emplaceBack(0,0),q.emplaceBack(i.EXTENT,0),q.emplaceBack(0,i.EXTENT),q.emplaceBack(i.EXTENT,i.EXTENT),this.debugBuffer=D.createVertexBuffer(q,oc.members),this.debugSegments=i.SegmentVector.simpleSegment(0,0,4,5);var K=new i.StructArrayLayout4i8;K.emplaceBack(0,0,0,0),K.emplaceBack(i.EXTENT,0,i.EXTENT,0),K.emplaceBack(0,i.EXTENT,0,i.EXTENT),K.emplaceBack(i.EXTENT,i.EXTENT,i.EXTENT,i.EXTENT),this.rasterBoundsBuffer=D.createVertexBuffer(K,Me.members),this.rasterBoundsSegments=i.SegmentVector.simpleSegment(0,0,4,2);var de=new i.StructArrayLayout2i4;de.emplaceBack(0,0),de.emplaceBack(1,0),de.emplaceBack(0,1),de.emplaceBack(1,1),this.viewportBuffer=D.createVertexBuffer(de,oc.members),this.viewportSegments=i.SegmentVector.simpleSegment(0,0,4,2);var ne=new i.StructArrayLayout1ui2;ne.emplaceBack(0),ne.emplaceBack(1),ne.emplaceBack(3),ne.emplaceBack(2),ne.emplaceBack(0),this.tileBorderIndexBuffer=D.createIndexBuffer(ne);var we=new i.StructArrayLayout3ui6;we.emplaceBack(0,1,2),we.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=D.createIndexBuffer(we),this.emptyTexture=new i.Texture(D,{width:1,height:1,data:new Uint8Array([0,0,0,0])},D.gl.RGBA);var Ue=this.context.gl;this.stencilClearMode=new kn({func:Ue.ALWAYS,mask:0},0,255,Ue.ZERO,Ue.ZERO,Ue.ZERO)},mo.prototype.clearStencil=function(){var D=this.context,J=D.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var q=i.create();i.ortho(q,0,this.width,this.height,0,0,1),i.scale(q,q,[J.drawingBufferWidth,J.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(D,J.TRIANGLES,wn.disabled,this.stencilClearMode,_t.disabled,Er.disabled,Bn(q),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},mo.prototype._renderTileClippingMasks=function(D,J){if(!(this.currentStencilSource===D.source||!D.isTileClipped()||!J||!J.length)){this.currentStencilSource=D.source;var q=this.context,K=q.gl;this.nextStencilID+J.length>256&&this.clearStencil(),q.setColorMode(_t.disabled),q.setDepthMode(wn.disabled);var de=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var ne=0,we=J;ne<we.length;ne+=1){var Ue=we[ne],ft=this._tileClippingMaskIDs[Ue.key]=this.nextStencilID++;de.draw(q,K.TRIANGLES,wn.disabled,new kn({func:K.ALWAYS,mask:0},ft,255,K.KEEP,K.KEEP,K.REPLACE),_t.disabled,Er.disabled,Bn(Ue.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},mo.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var D=this.nextStencilID++,J=this.context.gl;return new kn({func:J.NOTEQUAL,mask:255},D,255,J.KEEP,J.KEEP,J.REPLACE)},mo.prototype.stencilModeForClipping=function(D){var J=this.context.gl;return new kn({func:J.EQUAL,mask:255},this._tileClippingMaskIDs[D.key],0,J.KEEP,J.KEEP,J.REPLACE)},mo.prototype.stencilConfigForOverlap=function(D){var J,q=this.context.gl,K=D.sort(function(ft,Zt){return Zt.overscaledZ-ft.overscaledZ}),de=K[K.length-1].overscaledZ,ne=K[0].overscaledZ-de+1;if(ne>1){this.currentStencilSource=void 0,this.nextStencilID+ne>256&&this.clearStencil();for(var we={},Ue=0;Ue<ne;Ue++)we[Ue+de]=new kn({func:q.GEQUAL,mask:255},Ue+this.nextStencilID,255,q.KEEP,q.KEEP,q.REPLACE);return this.nextStencilID+=ne,[we,K]}return[(J={},J[de]=kn.disabled,J),K]},mo.prototype.colorModeForRenderPass=function(){var D=this.context.gl;if(this._showOverdrawInspector){var J=8,q=1/J;return new _t([D.CONSTANT_COLOR,D.ONE],new i.Color(q,q,q,0),[!0,!0,!0,!0])}else return this.renderPass===\"opaque\"?_t.unblended:_t.alphaBlended},mo.prototype.depthModeForSublayer=function(D,J,q){if(!this.opaquePassEnabledForLayer())return wn.disabled;var K=1-((1+this.currentLayer)*this.numSublayers+D)*this.depthEpsilon;return new wn(q||this.context.gl.LEQUAL,J,[K,K])},mo.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},mo.prototype.render=function(D,J){var q=this;this.style=D,this.options=J,this.lineAtlas=D.lineAtlas,this.imageManager=D.imageManager,this.glyphManager=D.glyphManager,this.symbolFadeChange=D.placement.symbolFadeChange(i.browser.now()),this.imageManager.beginFrame();var K=this.style._order,de=this.style.sourceCaches;for(var ne in de){var we=de[ne];we.used&&we.prepare(this.context)}var Ue={},ft={},Zt={};for(var hr in de){var qt=de[hr];Ue[hr]=qt.getVisibleCoordinates(),ft[hr]=Ue[hr].slice().reverse(),Zt[hr]=qt.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var Ve=0;Ve<K.length;Ve++){var et=K[Ve];if(this.style._layers[et].is3D()){this.opaquePassCutoff=Ve;break}}this.renderPass=\"offscreen\";for(var at=0,kt=K;at<kt.length;at+=1){var Ot=kt[at],It=this.style._layers[Ot];if(!(!It.hasOffscreenPass()||It.isHidden(this.transform.zoom))){var Bt=ft[It.source];It.type!==\"custom\"&&!Bt.length||this.renderLayer(this,de[It.source],It,Bt)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:J.showOverdrawInspector?i.Color.black:i.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=J.showOverdrawInspector,this.depthRangeFor3D=[0,1-(D._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=K.length-1;this.currentLayer>=0;this.currentLayer--){var Rt=this.style._layers[K[this.currentLayer]],mt=de[Rt.source],Pt=Ue[Rt.source];this._renderTileClippingMasks(Rt,Pt),this.renderLayer(this,mt,Rt,Pt)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<K.length;this.currentLayer++){var ht=this.style._layers[K[this.currentLayer]],cr=de[ht.source],br=(ht.type===\"symbol\"?Zt:ft)[ht.source];this._renderTileClippingMasks(ht,Ue[ht.source]),this.renderLayer(this,cr,ht,br)}if(this.options.showTileBoundaries){var Nr,Ri,hi=i.values(this.style._layers);hi.forEach(function(wi){wi.source&&!wi.isHidden(q.transform.zoom)&&(wi.source!==(Ri&&Ri.id)&&(Ri=q.style.sourceCaches[wi.source]),(!Nr||Nr.getSource().maxzoom<Ri.getSource().maxzoom)&&(Nr=Ri))}),Nr&&Qa.debug(this,Nr,Nr.getVisibleCoordinates())}this.options.showPadding&&Li(this),this.context.setDefault()},mo.prototype.renderLayer=function(D,J,q,K){q.isHidden(this.transform.zoom)||q.type!==\"background\"&&q.type!==\"custom\"&&!K.length||(this.id=q.id,this.gpuTimingStart(q),Qa[q.type](D,J,q,K,this.style.placement.variableOffsets),this.gpuTimingEnd())},mo.prototype.gpuTimingStart=function(D){if(this.options.gpuTiming){var J=this.context.extTimerQuery,q=this.gpuTimers[D.id];q||(q=this.gpuTimers[D.id]={calls:0,cpuTime:0,query:J.createQueryEXT()}),q.calls++,J.beginQueryEXT(J.TIME_ELAPSED_EXT,q.query)}},mo.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var D=this.context.extTimerQuery;D.endQueryEXT(D.TIME_ELAPSED_EXT)}},mo.prototype.collectGpuTimers=function(){var D=this.gpuTimers;return this.gpuTimers={},D},mo.prototype.queryGpuTimers=function(D){var J={};for(var q in D){var K=D[q],de=this.context.extTimerQuery,ne=de.getQueryObjectEXT(K.query,de.QUERY_RESULT_EXT)/(1e3*1e3);de.deleteQueryEXT(K.query),J[q]=ne}return J},mo.prototype.translatePosMatrix=function(D,J,q,K,de){if(!q[0]&&!q[1])return D;var ne=de?K===\"map\"?this.transform.angle:0:K===\"viewport\"?-this.transform.angle:0;if(ne){var we=Math.sin(ne),Ue=Math.cos(ne);q=[q[0]*Ue-q[1]*we,q[0]*we+q[1]*Ue]}var ft=[de?q[0]:Ss(J,q[0],this.transform.zoom),de?q[1]:Ss(J,q[1],this.transform.zoom),0],Zt=new Float32Array(16);return i.translate(Zt,D,ft),Zt},mo.prototype.saveTileTexture=function(D){var J=this._tileTextures[D.size[0]];J?J.push(D):this._tileTextures[D.size[0]]=[D]},mo.prototype.getTileTexture=function(D){var J=this._tileTextures[D];return J&&J.length>0?J.pop():null},mo.prototype.isPatternMissing=function(D){if(!D)return!1;if(!D.from||!D.to)return!0;var J=this.imageManager.getPattern(D.from.toString()),q=this.imageManager.getPattern(D.to.toString());return!J||!q},mo.prototype.useProgram=function(D,J){this.cache=this.cache||{};var q=\"\"+D+(J?J.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[q]||(this.cache[q]=new If(this.context,D,bf[D],J,oo[D],this._showOverdrawInspector)),this.cache[q]},mo.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()},mo.prototype.setBaseState=function(){var D=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(D.FUNC_ADD)},mo.prototype.initDebugOverlayCanvas=function(){if(this.debugOverlayCanvas==null){this.debugOverlayCanvas=i.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var D=this.context.gl;this.debugOverlayTexture=new i.Texture(this.context,this.debugOverlayCanvas,D.RGBA)}},mo.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var Bo=function(D,J){this.points=D,this.planes=J};Bo.fromInvProjectionMatrix=function(D,J,q){var K=[[-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]],de=Math.pow(2,q),ne=K.map(function(ft){return i.transformMat4([],ft,D)}).map(function(ft){return i.scale$1([],ft,1/ft[3]/J*de)}),we=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]],Ue=we.map(function(ft){var Zt=i.sub([],ne[ft[0]],ne[ft[1]]),hr=i.sub([],ne[ft[2]],ne[ft[1]]),qt=i.normalize([],i.cross([],Zt,hr)),Ve=-i.dot(qt,ne[ft[1]]);return qt.concat(Ve)});return new Bo(ne,Ue)};var Is=function(D,J){this.min=D,this.max=J,this.center=i.scale$2([],i.add([],this.min,this.max),.5)};Is.prototype.quadrant=function(D){for(var J=[D%2===0,D<2],q=i.clone$2(this.min),K=i.clone$2(this.max),de=0;de<J.length;de++)q[de]=J[de]?this.min[de]:this.center[de],K[de]=J[de]?this.center[de]:this.max[de];return K[2]=this.max[2],new Is(q,K)},Is.prototype.distanceX=function(D){var J=Math.max(Math.min(this.max[0],D[0]),this.min[0]);return J-D[0]},Is.prototype.distanceY=function(D){var J=Math.max(Math.min(this.max[1],D[1]),this.min[1]);return J-D[1]},Is.prototype.intersects=function(D){for(var J=[[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]],q=!0,K=0;K<D.planes.length;K++){for(var de=D.planes[K],ne=0,we=0;we<J.length;we++)ne+=i.dot$1(de,J[we])>=0;if(ne===0)return 0;ne!==J.length&&(q=!1)}if(q)return 2;for(var Ue=0;Ue<3;Ue++){for(var ft=Number.MAX_VALUE,Zt=-Number.MAX_VALUE,hr=0;hr<D.points.length;hr++){var qt=D.points[hr][Ue]-this.min[Ue];ft=Math.min(ft,qt),Zt=Math.max(Zt,qt)}if(Zt<0||ft>this.max[Ue]-this.min[Ue])return 0}return 1};var As=function(D,J,q,K){if(D===void 0&&(D=0),J===void 0&&(J=0),q===void 0&&(q=0),K===void 0&&(K=0),isNaN(D)||D<0||isNaN(J)||J<0||isNaN(q)||q<0||isNaN(K)||K<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=D,this.bottom=J,this.left=q,this.right=K};As.prototype.interpolate=function(D,J,q){return J.top!=null&&D.top!=null&&(this.top=i.number(D.top,J.top,q)),J.bottom!=null&&D.bottom!=null&&(this.bottom=i.number(D.bottom,J.bottom,q)),J.left!=null&&D.left!=null&&(this.left=i.number(D.left,J.left,q)),J.right!=null&&D.right!=null&&(this.right=i.number(D.right,J.right,q)),this},As.prototype.getCenter=function(D,J){var q=i.clamp((this.left+D-this.right)/2,0,D),K=i.clamp((this.top+J-this.bottom)/2,0,J);return new i.Point(q,K)},As.prototype.equals=function(D){return this.top===D.top&&this.bottom===D.bottom&&this.left===D.left&&this.right===D.right},As.prototype.clone=function(){return new As(this.top,this.bottom,this.left,this.right)},As.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var wo=function(D,J,q,K,de){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=de===void 0?!0:de,this._minZoom=D||0,this._maxZoom=J||22,this._minPitch=q==null?0:q,this._maxPitch=K==null?60:K,this.setMaxBounds(),this.width=0,this.height=0,this._center=new i.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new As,this._posMatrixCache={},this._alignedPosMatrixCache={}},To={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}};wo.prototype.clone=function(){var D=new wo(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return D.tileSize=this.tileSize,D.latRange=this.latRange,D.width=this.width,D.height=this.height,D._center=this._center,D.zoom=this.zoom,D.angle=this.angle,D._fov=this._fov,D._pitch=this._pitch,D._unmodified=this._unmodified,D._edgeInsets=this._edgeInsets.clone(),D._calcMatrices(),D},To.minZoom.get=function(){return this._minZoom},To.minZoom.set=function(Y){this._minZoom!==Y&&(this._minZoom=Y,this.zoom=Math.max(this.zoom,Y))},To.maxZoom.get=function(){return this._maxZoom},To.maxZoom.set=function(Y){this._maxZoom!==Y&&(this._maxZoom=Y,this.zoom=Math.min(this.zoom,Y))},To.minPitch.get=function(){return this._minPitch},To.minPitch.set=function(Y){this._minPitch!==Y&&(this._minPitch=Y,this.pitch=Math.max(this.pitch,Y))},To.maxPitch.get=function(){return this._maxPitch},To.maxPitch.set=function(Y){this._maxPitch!==Y&&(this._maxPitch=Y,this.pitch=Math.min(this.pitch,Y))},To.renderWorldCopies.get=function(){return this._renderWorldCopies},To.renderWorldCopies.set=function(Y){Y===void 0?Y=!0:Y===null&&(Y=!1),this._renderWorldCopies=Y},To.worldSize.get=function(){return this.tileSize*this.scale},To.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},To.size.get=function(){return new i.Point(this.width,this.height)},To.bearing.get=function(){return-this.angle/Math.PI*180},To.bearing.set=function(Y){var D=-i.wrap(Y,-180,180)*Math.PI/180;this.angle!==D&&(this._unmodified=!1,this.angle=D,this._calcMatrices(),this.rotationMatrix=i.create$2(),i.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},To.pitch.get=function(){return this._pitch/Math.PI*180},To.pitch.set=function(Y){var D=i.clamp(Y,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==D&&(this._unmodified=!1,this._pitch=D,this._calcMatrices())},To.fov.get=function(){return this._fov/Math.PI*180},To.fov.set=function(Y){Y=Math.max(.01,Math.min(60,Y)),this._fov!==Y&&(this._unmodified=!1,this._fov=Y/180*Math.PI,this._calcMatrices())},To.zoom.get=function(){return this._zoom},To.zoom.set=function(Y){var D=Math.min(Math.max(Y,this.minZoom),this.maxZoom);this._zoom!==D&&(this._unmodified=!1,this._zoom=D,this.scale=this.zoomScale(D),this.tileZoom=Math.floor(D),this.zoomFraction=D-this.tileZoom,this._constrain(),this._calcMatrices())},To.center.get=function(){return this._center},To.center.set=function(Y){Y.lat===this._center.lat&&Y.lng===this._center.lng||(this._unmodified=!1,this._center=Y,this._constrain(),this._calcMatrices())},To.padding.get=function(){return this._edgeInsets.toJSON()},To.padding.set=function(Y){this._edgeInsets.equals(Y)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,Y,1),this._calcMatrices())},To.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},wo.prototype.isPaddingEqual=function(D){return this._edgeInsets.equals(D)},wo.prototype.interpolatePadding=function(D,J,q){this._unmodified=!1,this._edgeInsets.interpolate(D,J,q),this._constrain(),this._calcMatrices()},wo.prototype.coveringZoomLevel=function(D){var J=(D.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/D.tileSize));return Math.max(0,J)},wo.prototype.getVisibleUnwrappedCoordinates=function(D){var J=[new i.UnwrappedTileID(0,D)];if(this._renderWorldCopies)for(var q=this.pointCoordinate(new i.Point(0,0)),K=this.pointCoordinate(new i.Point(this.width,0)),de=this.pointCoordinate(new i.Point(this.width,this.height)),ne=this.pointCoordinate(new i.Point(0,this.height)),we=Math.floor(Math.min(q.x,K.x,de.x,ne.x)),Ue=Math.floor(Math.max(q.x,K.x,de.x,ne.x)),ft=1,Zt=we-ft;Zt<=Ue+ft;Zt++)Zt!==0&&J.push(new i.UnwrappedTileID(Zt,D));return J},wo.prototype.coveringTiles=function(D){var J=this.coveringZoomLevel(D),q=J;if(D.minzoom!==void 0&&J<D.minzoom)return[];D.maxzoom!==void 0&&J>D.maxzoom&&(J=D.maxzoom);var K=i.MercatorCoordinate.fromLngLat(this.center),de=Math.pow(2,J),ne=[de*K.x,de*K.y,0],we=Bo.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,J),Ue=D.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(Ue=J);var ft=3,Zt=function(hi){return{aabb:new Is([hi*de,0,0],[(hi+1)*de,de,0]),zoom:0,x:0,y:0,wrap:hi,fullyVisible:!1}},hr=[],qt=[],Ve=J,et=D.reparseOverscaled?q:J;if(this._renderWorldCopies)for(var at=1;at<=3;at++)hr.push(Zt(-at)),hr.push(Zt(at));for(hr.push(Zt(0));hr.length>0;){var kt=hr.pop(),Ot=kt.x,It=kt.y,Bt=kt.fullyVisible;if(!Bt){var Rt=kt.aabb.intersects(we);if(Rt===0)continue;Bt=Rt===2}var mt=kt.aabb.distanceX(ne),Pt=kt.aabb.distanceY(ne),ht=Math.max(Math.abs(mt),Math.abs(Pt)),cr=ft+(1<<Ve-kt.zoom)-2;if(kt.zoom===Ve||ht>cr&&kt.zoom>=Ue){qt.push({tileID:new i.OverscaledTileID(kt.zoom===Ve?et:kt.zoom,kt.wrap,kt.zoom,Ot,It),distanceSq:i.sqrLen([ne[0]-.5-Ot,ne[1]-.5-It])});continue}for(var br=0;br<4;br++){var Nr=(Ot<<1)+br%2,Ri=(It<<1)+(br>>1);hr.push({aabb:kt.aabb.quadrant(br),zoom:kt.zoom+1,x:Nr,y:Ri,wrap:kt.wrap,fullyVisible:Bt})}}return qt.sort(function(hi,wi){return hi.distanceSq-wi.distanceSq}).map(function(hi){return hi.tileID})},wo.prototype.resize=function(D,J){this.width=D,this.height=J,this.pixelsToGLUnits=[2/D,-2/J],this._constrain(),this._calcMatrices()},To.unmodified.get=function(){return this._unmodified},wo.prototype.zoomScale=function(D){return Math.pow(2,D)},wo.prototype.scaleZoom=function(D){return Math.log(D)/Math.LN2},wo.prototype.project=function(D){var J=i.clamp(D.lat,-this.maxValidLatitude,this.maxValidLatitude);return new i.Point(i.mercatorXfromLng(D.lng)*this.worldSize,i.mercatorYfromLat(J)*this.worldSize)},wo.prototype.unproject=function(D){return new i.MercatorCoordinate(D.x/this.worldSize,D.y/this.worldSize).toLngLat()},To.point.get=function(){return this.project(this.center)},wo.prototype.setLocationAtPoint=function(D,J){var q=this.pointCoordinate(J),K=this.pointCoordinate(this.centerPoint),de=this.locationCoordinate(D),ne=new i.MercatorCoordinate(de.x-(q.x-K.x),de.y-(q.y-K.y));this.center=this.coordinateLocation(ne),this._renderWorldCopies&&(this.center=this.center.wrap())},wo.prototype.locationPoint=function(D){return this.coordinatePoint(this.locationCoordinate(D))},wo.prototype.pointLocation=function(D){return this.coordinateLocation(this.pointCoordinate(D))},wo.prototype.locationCoordinate=function(D){return i.MercatorCoordinate.fromLngLat(D)},wo.prototype.coordinateLocation=function(D){return D.toLngLat()},wo.prototype.pointCoordinate=function(D){var J=0,q=[D.x,D.y,0,1],K=[D.x,D.y,1,1];i.transformMat4(q,q,this.pixelMatrixInverse),i.transformMat4(K,K,this.pixelMatrixInverse);var de=q[3],ne=K[3],we=q[0]/de,Ue=K[0]/ne,ft=q[1]/de,Zt=K[1]/ne,hr=q[2]/de,qt=K[2]/ne,Ve=hr===qt?0:(J-hr)/(qt-hr);return new i.MercatorCoordinate(i.number(we,Ue,Ve)/this.worldSize,i.number(ft,Zt,Ve)/this.worldSize)},wo.prototype.coordinatePoint=function(D){var J=[D.x*this.worldSize,D.y*this.worldSize,0,1];return i.transformMat4(J,J,this.pixelMatrix),new i.Point(J[0]/J[3],J[1]/J[3])},wo.prototype.getBounds=function(){return new i.LngLatBounds().extend(this.pointLocation(new i.Point(0,0))).extend(this.pointLocation(new i.Point(this.width,0))).extend(this.pointLocation(new i.Point(this.width,this.height))).extend(this.pointLocation(new i.Point(0,this.height)))},wo.prototype.getMaxBounds=function(){return!this.latRange||this.latRange.length!==2||!this.lngRange||this.lngRange.length!==2?null:new i.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]])},wo.prototype.setMaxBounds=function(D){D?(this.lngRange=[D.getWest(),D.getEast()],this.latRange=[D.getSouth(),D.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},wo.prototype.calculatePosMatrix=function(D,J){J===void 0&&(J=!1);var q=D.key,K=J?this._alignedPosMatrixCache:this._posMatrixCache;if(K[q])return K[q];var de=D.canonical,ne=this.worldSize/this.zoomScale(de.z),we=de.x+Math.pow(2,de.z)*D.wrap,Ue=i.identity(new Float64Array(16));return i.translate(Ue,Ue,[we*ne,de.y*ne,0]),i.scale(Ue,Ue,[ne/i.EXTENT,ne/i.EXTENT,1]),i.multiply(Ue,J?this.alignedProjMatrix:this.projMatrix,Ue),K[q]=new Float32Array(Ue),K[q]},wo.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},wo.prototype._constrain=function(){if(!(!this.center||!this.width||!this.height||this._constraining)){this._constraining=!0;var D=-90,J=90,q=-180,K=180,de,ne,we,Ue,ft=this.size,Zt=this._unmodified;if(this.latRange){var hr=this.latRange;D=i.mercatorYfromLat(hr[1])*this.worldSize,J=i.mercatorYfromLat(hr[0])*this.worldSize,de=J-D<ft.y?ft.y/(J-D):0}if(this.lngRange){var qt=this.lngRange;q=i.mercatorXfromLng(qt[0])*this.worldSize,K=i.mercatorXfromLng(qt[1])*this.worldSize,ne=K-q<ft.x?ft.x/(K-q):0}var Ve=this.point,et=Math.max(ne||0,de||0);if(et){this.center=this.unproject(new i.Point(ne?(K+q)/2:Ve.x,de?(J+D)/2:Ve.y)),this.zoom+=this.scaleZoom(et),this._unmodified=Zt,this._constraining=!1;return}if(this.latRange){var at=Ve.y,kt=ft.y/2;at-kt<D&&(Ue=D+kt),at+kt>J&&(Ue=J-kt)}if(this.lngRange){var Ot=Ve.x,It=ft.x/2;Ot-It<q&&(we=q+It),Ot+It>K&&(we=K-It)}(we!==void 0||Ue!==void 0)&&(this.center=this.unproject(new i.Point(we!==void 0?we:Ve.x,Ue!==void 0?Ue:Ve.y))),this._unmodified=Zt,this._constraining=!1}},wo.prototype._calcMatrices=function(){if(this.height){var D=this._fov/2,J=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(D)*this.height;var q=Math.PI/2+this._pitch,K=this._fov*(.5+J.y/this.height),de=Math.sin(K)*this.cameraToCenterDistance/Math.sin(i.clamp(Math.PI-q-K,.01,Math.PI-.01)),ne=this.point,we=ne.x,Ue=ne.y,ft=Math.cos(Math.PI/2-this._pitch)*de+this.cameraToCenterDistance,Zt=ft*1.01,hr=this.height/50,qt=new Float64Array(16);i.perspective(qt,this._fov,this.width/this.height,hr,Zt),qt[8]=-J.x*2/this.width,qt[9]=J.y*2/this.height,i.scale(qt,qt,[1,-1,1]),i.translate(qt,qt,[0,0,-this.cameraToCenterDistance]),i.rotateX(qt,qt,this._pitch),i.rotateZ(qt,qt,this.angle),i.translate(qt,qt,[-we,-Ue,0]),this.mercatorMatrix=i.scale([],qt,[this.worldSize,this.worldSize,this.worldSize]),i.scale(qt,qt,[1,1,i.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=qt,this.invProjMatrix=i.invert([],this.projMatrix);var Ve=this.width%2/2,et=this.height%2/2,at=Math.cos(this.angle),kt=Math.sin(this.angle),Ot=we-Math.round(we)+at*Ve+kt*et,It=Ue-Math.round(Ue)+at*et+kt*Ve,Bt=new Float64Array(qt);if(i.translate(Bt,Bt,[Ot>.5?Ot-1:Ot,It>.5?It-1:It,0]),this.alignedProjMatrix=Bt,qt=i.create(),i.scale(qt,qt,[this.width/2,-this.height/2,1]),i.translate(qt,qt,[1,-1,0]),this.labelPlaneMatrix=qt,qt=i.create(),i.scale(qt,qt,[1,-1,1]),i.translate(qt,qt,[-1,-1,0]),i.scale(qt,qt,[2/this.width,2/this.height,1]),this.glCoordMatrix=qt,this.pixelMatrix=i.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),qt=i.invert(new Float64Array(16),this.pixelMatrix),!qt)throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=qt,this._posMatrixCache={},this._alignedPosMatrixCache={}}},wo.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var D=this.pointCoordinate(new i.Point(0,0)),J=[D.x*this.worldSize,D.y*this.worldSize,0,1],q=i.transformMat4(J,J,this.pixelMatrix);return q[3]/this.cameraToCenterDistance},wo.prototype.getCameraPoint=function(){var D=this._pitch,J=Math.tan(D)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new i.Point(0,J))},wo.prototype.getCameraQueryGeometry=function(D){var J=this.getCameraPoint();if(D.length===1)return[D[0],J];for(var q=J.x,K=J.y,de=J.x,ne=J.y,we=0,Ue=D;we<Ue.length;we+=1){var ft=Ue[we];q=Math.min(q,ft.x),K=Math.min(K,ft.y),de=Math.max(de,ft.x),ne=Math.max(ne,ft.y)}return[new i.Point(q,K),new i.Point(de,K),new i.Point(de,ne),new i.Point(q,ne),new i.Point(q,K)]},Object.defineProperties(wo.prototype,To);function dl(Y,D){var J=!1,q=null,K=function(){q=null,J&&(Y(),q=setTimeout(K,D),J=!1)};return function(){return J=!0,q||K(),q}}var Nl=function(D){this._hashName=D&&encodeURIComponent(D),i.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=dl(this._updateHashUnthrottled.bind(this),30*1e3/100)};Nl.prototype.addTo=function(D){return this._map=D,i.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},Nl.prototype.remove=function(){return i.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Nl.prototype.getHashString=function(D){var J=this._map.getCenter(),q=Math.round(this._map.getZoom()*100)/100,K=Math.ceil((q*Math.LN2+Math.log(512/360/.5))/Math.LN10),de=Math.pow(10,K),ne=Math.round(J.lng*de)/de,we=Math.round(J.lat*de)/de,Ue=this._map.getBearing(),ft=this._map.getPitch(),Zt=\"\";if(D?Zt+=\"/\"+ne+\"/\"+we+\"/\"+q:Zt+=q+\"/\"+we+\"/\"+ne,(Ue||ft)&&(Zt+=\"/\"+Math.round(Ue*10)/10),ft&&(Zt+=\"/\"+Math.round(ft)),this._hashName){var hr=this._hashName,qt=!1,Ve=i.window.location.hash.slice(1).split(\"&\").map(function(et){var at=et.split(\"=\")[0];return at===hr?(qt=!0,at+\"=\"+Zt):et}).filter(function(et){return et});return qt||Ve.push(hr+\"=\"+Zt),\"#\"+Ve.join(\"&\")}return\"#\"+Zt},Nl.prototype._getCurrentHash=function(){var D=this,J=i.window.location.hash.replace(\"#\",\"\");if(this._hashName){var q;return J.split(\"&\").map(function(K){return K.split(\"=\")}).forEach(function(K){K[0]===D._hashName&&(q=K)}),(q&&q[1]||\"\").split(\"/\")}return J.split(\"/\")},Nl.prototype._onHashChange=function(){var D=this._getCurrentHash();if(D.length>=3&&!D.some(function(q){return isNaN(q)})){var J=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(D[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+D[2],+D[1]],zoom:+D[0],bearing:J,pitch:+(D[4]||0)}),!0}return!1},Nl.prototype._updateHashUnthrottled=function(){var D=i.window.location.href.replace(/(#.+)?$/,this.getHashString());try{i.window.history.replaceState(i.window.history.state,null,D)}catch(J){}};var Lu={linearity:.3,easing:i.bezier(0,0,.3,1)},ou=i.extend({deceleration:2500,maxSpeed:1400},Lu),$s=i.extend({deceleration:20,maxSpeed:1400},Lu),Ql=i.extend({deceleration:1e3,maxSpeed:360},Lu),dc=i.extend({deceleration:1e3,maxSpeed:90},Lu),Tl=function(D){this._map=D,this.clear()};Tl.prototype.clear=function(){this._inertiaBuffer=[]},Tl.prototype.record=function(D){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:i.browser.now(),settings:D})},Tl.prototype._drainInertiaBuffer=function(){for(var D=this._inertiaBuffer,J=i.browser.now(),q=160;D.length>0&&J-D[0].time>q;)D.shift()},Tl.prototype._onMoveEnd=function(D){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var J={zoom:0,bearing:0,pitch:0,pan:new i.Point(0,0),pinchAround:void 0,around:void 0},q=0,K=this._inertiaBuffer;q<K.length;q+=1){var de=K[q],ne=de.settings;J.zoom+=ne.zoomDelta||0,J.bearing+=ne.bearingDelta||0,J.pitch+=ne.pitchDelta||0,ne.panDelta&&J.pan._add(ne.panDelta),ne.around&&(J.around=ne.around),ne.pinchAround&&(J.pinchAround=ne.pinchAround)}var we=this._inertiaBuffer[this._inertiaBuffer.length-1],Ue=we.time-this._inertiaBuffer[0].time,ft={};if(J.pan.mag()){var Zt=X(J.pan.mag(),Ue,i.extend({},ou,D||{}));ft.offset=J.pan.mult(Zt.amount/J.pan.mag()),ft.center=this._map.transform.center,Al(ft,Zt)}if(J.zoom){var hr=X(J.zoom,Ue,$s);ft.zoom=this._map.transform.zoom+hr.amount,Al(ft,hr)}if(J.bearing){var qt=X(J.bearing,Ue,Ql);ft.bearing=this._map.transform.bearing+i.clamp(qt.amount,-179,179),Al(ft,qt)}if(J.pitch){var Ve=X(J.pitch,Ue,dc);ft.pitch=this._map.transform.pitch+Ve.amount,Al(ft,Ve)}if(ft.zoom||ft.bearing){var et=J.pinchAround===void 0?J.around:J.pinchAround;ft.around=et?this._map.unproject(et):this._map.getCenter()}return this.clear(),i.extend(ft,{noMoveStart:!0})}};function Al(Y,D){(!Y.duration||Y.duration<D.duration)&&(Y.duration=D.duration,Y.easing=D.easing)}function X(Y,D,J){var q=J.maxSpeed,K=J.linearity,de=J.deceleration,ne=i.clamp(Y*K/(D/1e3),-q,q),we=Math.abs(ne)/(de*K);return{easing:J.easing,duration:we*1e3,amount:ne*(we/2)}}var se=function(Y){function D(q,K,de,ne){ne===void 0&&(ne={});var we=o.mousePos(K.getCanvasContainer(),de),Ue=K.unproject(we);Y.call(this,q,i.extend({point:we,lngLat:Ue,originalEvent:de},ne)),this._defaultPrevented=!1,this.target=K}Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D;var J={defaultPrevented:{configurable:!0}};return D.prototype.preventDefault=function(){this._defaultPrevented=!0},J.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(D.prototype,J),D}(i.Event),Te=function(Y){function D(q,K,de){var ne=q===\"touchend\"?de.changedTouches:de.touches,we=o.touchPos(K.getCanvasContainer(),ne),Ue=we.map(function(hr){return K.unproject(hr)}),ft=we.reduce(function(hr,qt,Ve,et){return hr.add(qt.div(et.length))},new i.Point(0,0)),Zt=K.unproject(ft);Y.call(this,q,{points:we,point:ft,lngLats:Ue,lngLat:Zt,originalEvent:de}),this._defaultPrevented=!1}Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D;var J={defaultPrevented:{configurable:!0}};return D.prototype.preventDefault=function(){this._defaultPrevented=!0},J.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(D.prototype,J),D}(i.Event),Ne=function(Y){function D(q,K,de){Y.call(this,q,{originalEvent:de}),this._defaultPrevented=!1}Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D;var J={defaultPrevented:{configurable:!0}};return D.prototype.preventDefault=function(){this._defaultPrevented=!0},J.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(D.prototype,J),D}(i.Event),He=function(D,J){this._map=D,this._clickTolerance=J.clickTolerance};He.prototype.reset=function(){delete this._mousedownPos},He.prototype.wheel=function(D){return this._firePreventable(new Ne(D.type,this._map,D))},He.prototype.mousedown=function(D,J){return this._mousedownPos=J,this._firePreventable(new se(D.type,this._map,D))},He.prototype.mouseup=function(D){this._map.fire(new se(D.type,this._map,D))},He.prototype.click=function(D,J){this._mousedownPos&&this._mousedownPos.dist(J)>=this._clickTolerance||this._map.fire(new se(D.type,this._map,D))},He.prototype.dblclick=function(D){return this._firePreventable(new se(D.type,this._map,D))},He.prototype.mouseover=function(D){this._map.fire(new se(D.type,this._map,D))},He.prototype.mouseout=function(D){this._map.fire(new se(D.type,this._map,D))},He.prototype.touchstart=function(D){return this._firePreventable(new Te(D.type,this._map,D))},He.prototype.touchmove=function(D){this._map.fire(new Te(D.type,this._map,D))},He.prototype.touchend=function(D){this._map.fire(new Te(D.type,this._map,D))},He.prototype.touchcancel=function(D){this._map.fire(new Te(D.type,this._map,D))},He.prototype._firePreventable=function(D){if(this._map.fire(D),D.defaultPrevented)return{}},He.prototype.isEnabled=function(){return!0},He.prototype.isActive=function(){return!1},He.prototype.enable=function(){},He.prototype.disable=function(){};var Ye=function(D){this._map=D};Ye.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Ye.prototype.mousemove=function(D){this._map.fire(new se(D.type,this._map,D))},Ye.prototype.mousedown=function(){this._delayContextMenu=!0},Ye.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new se(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Ye.prototype.contextmenu=function(D){this._delayContextMenu?this._contextMenuEvent=D:this._map.fire(new se(D.type,this._map,D)),this._map.listens(\"contextmenu\")&&D.preventDefault()},Ye.prototype.isEnabled=function(){return!0},Ye.prototype.isActive=function(){return!1},Ye.prototype.enable=function(){},Ye.prototype.disable=function(){};var Ct=function(D,J){this._map=D,this._el=D.getCanvasContainer(),this._container=D.getContainer(),this._clickTolerance=J.clickTolerance||1};Ct.prototype.isEnabled=function(){return!!this._enabled},Ct.prototype.isActive=function(){return!!this._active},Ct.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Ct.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Ct.prototype.mousedown=function(D,J){this.isEnabled()&&D.shiftKey&&D.button===0&&(o.disableDrag(),this._startPos=this._lastPos=J,this._active=!0)},Ct.prototype.mousemoveWindow=function(D,J){if(this._active){var q=J;if(!(this._lastPos.equals(q)||!this._box&&q.dist(this._startPos)<this._clickTolerance)){var K=this._startPos;this._lastPos=q,this._box||(this._box=o.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",D));var de=Math.min(K.x,q.x),ne=Math.max(K.x,q.x),we=Math.min(K.y,q.y),Ue=Math.max(K.y,q.y);o.setTransform(this._box,\"translate(\"+de+\"px,\"+we+\"px)\"),this._box.style.width=ne-de+\"px\",this._box.style.height=Ue-we+\"px\"}}},Ct.prototype.mouseupWindow=function(D,J){var q=this;if(this._active&&D.button===0){var K=this._startPos,de=J;if(this.reset(),o.suppressClick(),K.x===de.x&&K.y===de.y)this._fireEvent(\"boxzoomcancel\",D);else return this._map.fire(new i.Event(\"boxzoomend\",{originalEvent:D})),{cameraAnimation:function(ne){return ne.fitScreenCoordinates(K,de,q._map.getBearing(),{linear:!0})}}}},Ct.prototype.keydown=function(D){this._active&&D.keyCode===27&&(this.reset(),this._fireEvent(\"boxzoomcancel\",D))},Ct.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(o.remove(this._box),this._box=null),o.enableDrag(),delete this._startPos,delete this._lastPos},Ct.prototype._fireEvent=function(D,J){return this._map.fire(new i.Event(D,{originalEvent:J}))};function nt(Y,D){for(var J={},q=0;q<Y.length;q++)J[Y[q].identifier]=D[q];return J}function jt(Y){for(var D=new i.Point(0,0),J=0,q=Y;J<q.length;J+=1){var K=q[J];D._add(K)}return D.div(Y.length)}var gr=500,yr=500,Gr=30,qr=function(D){this.reset(),this.numTouches=D.numTouches};qr.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},qr.prototype.touchstart=function(D,J,q){(this.centroid||q.length>this.numTouches)&&(this.aborted=!0),!this.aborted&&(this.startTime===void 0&&(this.startTime=D.timeStamp),q.length===this.numTouches&&(this.centroid=jt(J),this.touches=nt(q,J)))},qr.prototype.touchmove=function(D,J,q){if(!(this.aborted||!this.centroid)){var K=nt(q,J);for(var de in this.touches){var ne=this.touches[de],we=K[de];(!we||we.dist(ne)>Gr)&&(this.aborted=!0)}}},qr.prototype.touchend=function(D,J,q){if((!this.centroid||D.timeStamp-this.startTime>yr)&&(this.aborted=!0),q.length===0){var K=!this.aborted&&this.centroid;if(this.reset(),K)return K}};var _i=function(D){this.singleTap=new qr(D),this.numTaps=D.numTaps,this.reset()};_i.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},_i.prototype.touchstart=function(D,J,q){this.singleTap.touchstart(D,J,q)},_i.prototype.touchmove=function(D,J,q){this.singleTap.touchmove(D,J,q)},_i.prototype.touchend=function(D,J,q){var K=this.singleTap.touchend(D,J,q);if(K){var de=D.timeStamp-this.lastTime<gr,ne=!this.lastTap||this.lastTap.dist(K)<Gr;if((!de||!ne)&&this.reset(),this.count++,this.lastTime=D.timeStamp,this.lastTap=K,this.count===this.numTaps)return this.reset(),K}};var bi=function(){this._zoomIn=new _i({numTouches:1,numTaps:2}),this._zoomOut=new _i({numTouches:2,numTaps:1}),this.reset()};bi.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},bi.prototype.touchstart=function(D,J,q){this._zoomIn.touchstart(D,J,q),this._zoomOut.touchstart(D,J,q)},bi.prototype.touchmove=function(D,J,q){this._zoomIn.touchmove(D,J,q),this._zoomOut.touchmove(D,J,q)},bi.prototype.touchend=function(D,J,q){var K=this,de=this._zoomIn.touchend(D,J,q),ne=this._zoomOut.touchend(D,J,q);if(de)return this._active=!0,D.preventDefault(),setTimeout(function(){return K.reset()},0),{cameraAnimation:function(we){return we.easeTo({duration:300,zoom:we.getZoom()+1,around:we.unproject(de)},{originalEvent:D})}};if(ne)return this._active=!0,D.preventDefault(),setTimeout(function(){return K.reset()},0),{cameraAnimation:function(we){return we.easeTo({duration:300,zoom:we.getZoom()-1,around:we.unproject(ne)},{originalEvent:D})}}},bi.prototype.touchcancel=function(){this.reset()},bi.prototype.enable=function(){this._enabled=!0},bi.prototype.disable=function(){this._enabled=!1,this.reset()},bi.prototype.isEnabled=function(){return this._enabled},bi.prototype.isActive=function(){return this._active};var Xr=0,ni=2,gi={};gi[Xr]=1,gi[ni]=2;function Pi(Y,D){var J=gi[D];return Y.buttons===void 0||(Y.buttons&J)!==J}var Ai=function(D){this.reset(),this._clickTolerance=D.clickTolerance||1};Ai.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Ai.prototype._correctButton=function(D,J){return!1},Ai.prototype._move=function(D,J){return{}},Ai.prototype.mousedown=function(D,J){if(!this._lastPoint){var q=o.mouseButton(D);this._correctButton(D,q)&&(this._lastPoint=J,this._eventButton=q)}},Ai.prototype.mousemoveWindow=function(D,J){var q=this._lastPoint;if(q){if(D.preventDefault(),Pi(D,this._eventButton)){this.reset();return}if(!(!this._moved&&J.dist(q)<this._clickTolerance))return this._moved=!0,this._lastPoint=J,this._move(q,J)}},Ai.prototype.mouseupWindow=function(D){if(this._lastPoint){var J=o.mouseButton(D);J===this._eventButton&&(this._moved&&o.suppressClick(),this.reset())}},Ai.prototype.enable=function(){this._enabled=!0},Ai.prototype.disable=function(){this._enabled=!1,this.reset()},Ai.prototype.isEnabled=function(){return this._enabled},Ai.prototype.isActive=function(){return this._active};var ti=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.mousedown=function(q,K){Y.prototype.mousedown.call(this,q,K),this._lastPoint&&(this._active=!0)},D.prototype._correctButton=function(q,K){return K===Xr&&!q.ctrlKey},D.prototype._move=function(q,K){return{around:K,panDelta:K.sub(q)}},D}(Ai),Rn=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype._correctButton=function(q,K){return K===Xr&&q.ctrlKey||K===ni},D.prototype._move=function(q,K){var de=.8,ne=(K.x-q.x)*de;if(ne)return this._active=!0,{bearingDelta:ne}},D.prototype.contextmenu=function(q){q.preventDefault()},D}(Ai),Cn=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype._correctButton=function(q,K){return K===Xr&&q.ctrlKey||K===ni},D.prototype._move=function(q,K){var de=-.5,ne=(K.y-q.y)*de;if(ne)return this._active=!0,{pitchDelta:ne}},D.prototype.contextmenu=function(q){q.preventDefault()},D}(Ai),Nn=function(D){this._minTouches=1,this._clickTolerance=D.clickTolerance||1,this.reset()};Nn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new i.Point(0,0)},Nn.prototype.touchstart=function(D,J,q){return this._calculateTransform(D,J,q)},Nn.prototype.touchmove=function(D,J,q){if(!(!this._active||q.length<this._minTouches))return D.preventDefault(),this._calculateTransform(D,J,q)},Nn.prototype.touchend=function(D,J,q){this._calculateTransform(D,J,q),this._active&&q.length<this._minTouches&&this.reset()},Nn.prototype.touchcancel=function(){this.reset()},Nn.prototype._calculateTransform=function(D,J,q){q.length>0&&(this._active=!0);var K=nt(q,J),de=new i.Point(0,0),ne=new i.Point(0,0),we=0;for(var Ue in K){var ft=K[Ue],Zt=this._touches[Ue];Zt&&(de._add(ft),ne._add(ft.sub(Zt)),we++,K[Ue]=ft)}if(this._touches=K,!(we<this._minTouches||!ne.mag())){var hr=ne.div(we);if(this._sum._add(hr),!(this._sum.mag()<this._clickTolerance)){var qt=de.div(we);return{around:qt,panDelta:hr}}}},Nn.prototype.enable=function(){this._enabled=!0},Nn.prototype.disable=function(){this._enabled=!1,this.reset()},Nn.prototype.isEnabled=function(){return this._enabled},Nn.prototype.isActive=function(){return this._active};var ia=function(){this.reset()};ia.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},ia.prototype._start=function(D){},ia.prototype._move=function(D,J,q){return{}},ia.prototype.touchstart=function(D,J,q){this._firstTwoTouches||q.length<2||(this._firstTwoTouches=[q[0].identifier,q[1].identifier],this._start([J[0],J[1]]))},ia.prototype.touchmove=function(D,J,q){if(this._firstTwoTouches){D.preventDefault();var K=this._firstTwoTouches,de=K[0],ne=K[1],we=Ea(q,J,de),Ue=Ea(q,J,ne);if(!(!we||!Ue)){var ft=this._aroundCenter?null:we.add(Ue).div(2);return this._move([we,Ue],ft,D)}}},ia.prototype.touchend=function(D,J,q){if(this._firstTwoTouches){var K=this._firstTwoTouches,de=K[0],ne=K[1],we=Ea(q,J,de),Ue=Ea(q,J,ne);we&&Ue||(this._active&&o.suppressClick(),this.reset())}},ia.prototype.touchcancel=function(){this.reset()},ia.prototype.enable=function(D){this._enabled=!0,this._aroundCenter=!!D&&D.around===\"center\"},ia.prototype.disable=function(){this._enabled=!1,this.reset()},ia.prototype.isEnabled=function(){return this._enabled},ia.prototype.isActive=function(){return this._active};function Ea(Y,D,J){for(var q=0;q<Y.length;q++)if(Y[q].identifier===J)return D[q]}var Ia=.1;function yo(Y,D){return Math.log(Y/D)/Math.LN2}var Da=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.reset=function(){Y.prototype.reset.call(this),delete this._distance,delete this._startDistance},D.prototype._start=function(q){this._startDistance=this._distance=q[0].dist(q[1])},D.prototype._move=function(q,K){var de=this._distance;if(this._distance=q[0].dist(q[1]),!(!this._active&&Math.abs(yo(this._distance,this._startDistance))<Ia))return this._active=!0,{zoomDelta:yo(this._distance,de),pinchAround:K}},D}(ia),go=25;function Rs(Y,D){return Y.angleWith(D)*180/Math.PI}var Es=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.reset=function(){Y.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},D.prototype._start=function(q){this._startVector=this._vector=q[0].sub(q[1]),this._minDiameter=q[0].dist(q[1])},D.prototype._move=function(q,K){var de=this._vector;if(this._vector=q[0].sub(q[1]),!(!this._active&&this._isBelowThreshold(this._vector)))return this._active=!0,{bearingDelta:Rs(this._vector,de),pinchAround:K}},D.prototype._isBelowThreshold=function(q){this._minDiameter=Math.min(this._minDiameter,q.mag());var K=Math.PI*this._minDiameter,de=go/K*360,ne=Rs(q,this._startVector);return Math.abs(ne)<de},D}(ia);function Zs(Y){return Math.abs(Y.y)>Math.abs(Y.x)}var Gn=100,Ha=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.reset=function(){Y.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},D.prototype._start=function(q){this._lastPoints=q,Zs(q[0].sub(q[1]))&&(this._valid=!1)},D.prototype._move=function(q,K,de){var ne=q[0].sub(this._lastPoints[0]),we=q[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(ne,we,de.timeStamp),!!this._valid){this._lastPoints=q,this._active=!0;var Ue=(ne.y+we.y)/2,ft=-.5;return{pitchDelta:Ue*ft}}},D.prototype.gestureBeginsVertically=function(q,K,de){if(this._valid!==void 0)return this._valid;var ne=2,we=q.mag()>=ne,Ue=K.mag()>=ne;if(!(!we&&!Ue)){if(!we||!Ue)return this._firstMove===void 0&&(this._firstMove=de),de-this._firstMove<Gn?void 0:!1;var ft=q.y>0==K.y>0;return Zs(q)&&Zs(K)&&ft}},D}(ia),Fo={panStep:100,bearingStep:15,pitchStep:10},Uo=function(){var D=Fo;this._panStep=D.panStep,this._bearingStep=D.bearingStep,this._pitchStep=D.pitchStep,this._rotationDisabled=!1};Uo.prototype.reset=function(){this._active=!1},Uo.prototype.keydown=function(D){var J=this;if(!(D.altKey||D.ctrlKey||D.metaKey)){var q=0,K=0,de=0,ne=0,we=0;switch(D.keyCode){case 61:case 107:case 171:case 187:q=1;break;case 189:case 109:case 173:q=-1;break;case 37:D.shiftKey?K=-1:(D.preventDefault(),ne=-1);break;case 39:D.shiftKey?K=1:(D.preventDefault(),ne=1);break;case 38:D.shiftKey?de=1:(D.preventDefault(),we=-1);break;case 40:D.shiftKey?de=-1:(D.preventDefault(),we=1);break;default:return}return this._rotationDisabled&&(K=0,de=0),{cameraAnimation:function(Ue){var ft=Ue.getZoom();Ue.easeTo({duration:300,easeId:\"keyboardHandler\",easing:Qs,zoom:q?Math.round(ft)+q*(D.shiftKey?2:1):ft,bearing:Ue.getBearing()+K*J._bearingStep,pitch:Ue.getPitch()+de*J._pitchStep,offset:[-ne*J._panStep,-we*J._panStep],center:Ue.getCenter()},{originalEvent:D})}}}},Uo.prototype.enable=function(){this._enabled=!0},Uo.prototype.disable=function(){this._enabled=!1,this.reset()},Uo.prototype.isEnabled=function(){return this._enabled},Uo.prototype.isActive=function(){return this._active},Uo.prototype.disableRotation=function(){this._rotationDisabled=!0},Uo.prototype.enableRotation=function(){this._rotationDisabled=!1};function Qs(Y){return Y*(2-Y)}var Sl=4.000244140625,bu=1/100,vl=1/450,Sc=2,Ee=function(D,J){this._map=D,this._el=D.getCanvasContainer(),this._handler=J,this._delta=0,this._defaultZoomRate=bu,this._wheelZoomRate=vl,i.bindAll([\"_onTimeout\"],this)};Ee.prototype.setZoomRate=function(D){this._defaultZoomRate=D},Ee.prototype.setWheelZoomRate=function(D){this._wheelZoomRate=D},Ee.prototype.isEnabled=function(){return!!this._enabled},Ee.prototype.isActive=function(){return!!this._active||this._finishTimeout!==void 0},Ee.prototype.isZooming=function(){return!!this._zooming},Ee.prototype.enable=function(D){this.isEnabled()||(this._enabled=!0,this._aroundCenter=D&&D.around===\"center\")},Ee.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Ee.prototype.wheel=function(D){if(this.isEnabled()){var J=D.deltaMode===i.window.WheelEvent.DOM_DELTA_LINE?D.deltaY*40:D.deltaY,q=i.browser.now(),K=q-(this._lastWheelEventTime||0);this._lastWheelEventTime=q,J!==0&&J%Sl===0?this._type=\"wheel\":J!==0&&Math.abs(J)<4?this._type=\"trackpad\":K>400?(this._type=null,this._lastValue=J,this._timeout=setTimeout(this._onTimeout,40,D)):this._type||(this._type=Math.abs(K*J)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,J+=this._lastValue)),D.shiftKey&&J&&(J=J/4),this._type&&(this._lastWheelEvent=D,this._delta-=J,this._active||this._start(D)),D.preventDefault()}},Ee.prototype._onTimeout=function(D){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(D)},Ee.prototype._start=function(D){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 J=o.mousePos(this._el,D);this._around=i.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(J)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},Ee.prototype.renderFrame=function(){var D=this;if(this._frameId&&(this._frameId=null,!!this.isActive())){var J=this._map.transform;if(this._delta!==0){var q=this._type===\"wheel\"&&Math.abs(this._delta)>Sl?this._wheelZoomRate:this._defaultZoomRate,K=Sc/(1+Math.exp(-Math.abs(this._delta*q)));this._delta<0&&K!==0&&(K=1/K);var de=typeof this._targetZoom==\"number\"?J.zoomScale(this._targetZoom):J.scale;this._targetZoom=Math.min(J.maxZoom,Math.max(J.minZoom,J.scaleZoom(de*K))),this._type===\"wheel\"&&(this._startZoom=J.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var ne=typeof this._targetZoom==\"number\"?this._targetZoom:J.zoom,we=this._startZoom,Ue=this._easing,ft=!1,Zt;if(this._type===\"wheel\"&&we&&Ue){var hr=Math.min((i.browser.now()-this._lastWheelEventTime)/200,1),qt=Ue(hr);Zt=i.number(we,ne,qt),hr<1?this._frameId||(this._frameId=!0):ft=!0}else Zt=ne,ft=!0;return this._active=!0,ft&&(this._active=!1,this._finishTimeout=setTimeout(function(){D._zooming=!1,D._handler._triggerRenderFrame(),delete D._targetZoom,delete D._finishTimeout},200)),{noInertia:!0,needsRenderFrame:!ft,zoomDelta:Zt-J.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},Ee.prototype._smoothOutEasing=function(D){var J=i.ease;if(this._prevEase){var q=this._prevEase,K=(i.browser.now()-q.start)/q.duration,de=q.easing(K+.01)-q.easing(K),ne=.27/Math.sqrt(de*de+1e-4)*.01,we=Math.sqrt(.27*.27-ne*ne);J=i.bezier(ne,we,.25,1)}return this._prevEase={start:i.browser.now(),duration:D,easing:J},J},Ee.prototype.reset=function(){this._active=!1};var xt=function(D,J){this._clickZoom=D,this._tapZoom=J};xt.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},xt.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},xt.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},xt.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var zt=function(){this.reset()};zt.prototype.reset=function(){this._active=!1},zt.prototype.dblclick=function(D,J){return D.preventDefault(),{cameraAnimation:function(q){q.easeTo({duration:300,zoom:q.getZoom()+(D.shiftKey?-1:1),around:q.unproject(J)},{originalEvent:D})}}},zt.prototype.enable=function(){this._enabled=!0},zt.prototype.disable=function(){this._enabled=!1,this.reset()},zt.prototype.isEnabled=function(){return this._enabled},zt.prototype.isActive=function(){return this._active};var Ir=function(){this._tap=new _i({numTouches:1,numTaps:1}),this.reset()};Ir.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},Ir.prototype.touchstart=function(D,J,q){this._swipePoint||(this._tapTime&&D.timeStamp-this._tapTime>gr&&this.reset(),this._tapTime?q.length>0&&(this._swipePoint=J[0],this._swipeTouch=q[0].identifier):this._tap.touchstart(D,J,q))},Ir.prototype.touchmove=function(D,J,q){if(!this._tapTime)this._tap.touchmove(D,J,q);else if(this._swipePoint){if(q[0].identifier!==this._swipeTouch)return;var K=J[0],de=K.y-this._swipePoint.y;return this._swipePoint=K,D.preventDefault(),this._active=!0,{zoomDelta:de/128}}},Ir.prototype.touchend=function(D,J,q){if(this._tapTime)this._swipePoint&&q.length===0&&this.reset();else{var K=this._tap.touchend(D,J,q);K&&(this._tapTime=D.timeStamp)}},Ir.prototype.touchcancel=function(){this.reset()},Ir.prototype.enable=function(){this._enabled=!0},Ir.prototype.disable=function(){this._enabled=!1,this.reset()},Ir.prototype.isEnabled=function(){return this._enabled},Ir.prototype.isActive=function(){return this._active};var Hr=function(D,J,q){this._el=D,this._mousePan=J,this._touchPan=q};Hr.prototype.enable=function(D){this._inertiaOptions=D||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},Hr.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},Hr.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},Hr.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var Br=function(D,J,q){this._pitchWithRotate=D.pitchWithRotate,this._mouseRotate=J,this._mousePitch=q};Br.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},Br.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},Br.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},Br.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var Vr=function(D,J,q,K){this._el=D,this._touchZoom=J,this._touchRotate=q,this._tapDragZoom=K,this._rotationDisabled=!1,this._enabled=!0};Vr.prototype.enable=function(D){this._touchZoom.enable(D),this._rotationDisabled||this._touchRotate.enable(D),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},Vr.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},Vr.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},Vr.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},Vr.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},Vr.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var mi=function(Y){return Y.zoom||Y.drag||Y.pitch||Y.rotate},Ni=function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D}(i.Event);function Oi(Y){return Y.panDelta&&Y.panDelta.mag()||Y.zoomDelta||Y.bearingDelta||Y.pitchDelta}var Mi=function(D,J){this._map=D,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Tl(D),this._bearingSnap=J.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(J),i.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var q=this._el;this._listeners=[[q,\"touchstart\",{passive:!0}],[q,\"touchmove\",{passive:!1}],[q,\"touchend\",void 0],[q,\"touchcancel\",void 0],[q,\"mousedown\",void 0],[q,\"mousemove\",void 0],[q,\"mouseup\",void 0],[i.window.document,\"mousemove\",{capture:!0}],[i.window.document,\"mouseup\",void 0],[q,\"mouseover\",void 0],[q,\"mouseout\",void 0],[q,\"dblclick\",void 0],[q,\"click\",void 0],[q,\"keydown\",{capture:!1}],[q,\"keyup\",void 0],[q,\"wheel\",{passive:!1}],[q,\"contextmenu\",void 0],[i.window,\"blur\",void 0]];for(var K=0,de=this._listeners;K<de.length;K+=1){var ne=de[K],we=ne[0],Ue=ne[1],ft=ne[2];o.addEventListener(we,Ue,we===i.window.document?this.handleWindowEvent:this.handleEvent,ft)}};Mi.prototype.destroy=function(){for(var D=0,J=this._listeners;D<J.length;D+=1){var q=J[D],K=q[0],de=q[1],ne=q[2];o.removeEventListener(K,de,K===i.window.document?this.handleWindowEvent:this.handleEvent,ne)}},Mi.prototype._addDefaultHandlers=function(D){var J=this._map,q=J.getCanvasContainer();this._add(\"mapEvent\",new He(J,D));var K=J.boxZoom=new Ct(J,D);this._add(\"boxZoom\",K);var de=new bi,ne=new zt;J.doubleClickZoom=new xt(ne,de),this._add(\"tapZoom\",de),this._add(\"clickZoom\",ne);var we=new Ir;this._add(\"tapDragZoom\",we);var Ue=J.touchPitch=new Ha;this._add(\"touchPitch\",Ue);var ft=new Rn(D),Zt=new Cn(D);J.dragRotate=new Br(D,ft,Zt),this._add(\"mouseRotate\",ft,[\"mousePitch\"]),this._add(\"mousePitch\",Zt,[\"mouseRotate\"]);var hr=new ti(D),qt=new Nn(D);J.dragPan=new Hr(q,hr,qt),this._add(\"mousePan\",hr),this._add(\"touchPan\",qt,[\"touchZoom\",\"touchRotate\"]);var Ve=new Es,et=new Da;J.touchZoomRotate=new Vr(q,et,Ve,we),this._add(\"touchRotate\",Ve,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",et,[\"touchPan\",\"touchRotate\"]);var at=J.scrollZoom=new Ee(J,this);this._add(\"scrollZoom\",at,[\"mousePan\"]);var kt=J.keyboard=new Uo;this._add(\"keyboard\",kt),this._add(\"blockableMapEvent\",new Ye(J));for(var Ot=0,It=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];Ot<It.length;Ot+=1){var Bt=It[Ot];D.interactive&&D[Bt]&&J[Bt].enable(D[Bt])}},Mi.prototype._add=function(D,J,q){this._handlers.push({handlerName:D,handler:J,allowed:q}),this._handlersById[D]=J},Mi.prototype.stop=function(D){if(!this._updatingCamera){for(var J=0,q=this._handlers;J<q.length;J+=1){var K=q[J],de=K.handler;de.reset()}this._inertia.clear(),this._fireEvents({},{},D),this._changes=[]}},Mi.prototype.isActive=function(){for(var D=0,J=this._handlers;D<J.length;D+=1){var q=J[D],K=q.handler;if(K.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!!mi(this._eventsInProgress)||this.isZooming()},Mi.prototype._blockedByActive=function(D,J,q){for(var K in D)if(K!==q&&(!J||J.indexOf(K)<0))return!0;return!1},Mi.prototype.handleWindowEvent=function(D){this.handleEvent(D,D.type+\"Window\")},Mi.prototype._getMapTouches=function(D){for(var J=[],q=0,K=D;q<K.length;q+=1){var de=K[q],ne=de.target;this._el.contains(ne)&&J.push(de)}return J},Mi.prototype.handleEvent=function(D,J){if(D.type===\"blur\"){this.stop(!0);return}this._updatingCamera=!0;for(var q=D.type===\"renderFrame\"?void 0:D,K={needsRenderFrame:!1},de={},ne={},we=D.touches?this._getMapTouches(D.touches):void 0,Ue=we?o.touchPos(this._el,we):o.mousePos(this._el,D),ft=0,Zt=this._handlers;ft<Zt.length;ft+=1){var hr=Zt[ft],qt=hr.handlerName,Ve=hr.handler,et=hr.allowed;if(Ve.isEnabled()){var at=void 0;this._blockedByActive(ne,et,qt)?Ve.reset():Ve[J||D.type]&&(at=Ve[J||D.type](D,Ue,we),this.mergeHandlerResult(K,de,at,qt,q),at&&at.needsRenderFrame&&this._triggerRenderFrame()),(at||Ve.isActive())&&(ne[qt]=Ve)}}var kt={};for(var Ot in this._previousActiveHandlers)ne[Ot]||(kt[Ot]=q);this._previousActiveHandlers=ne,(Object.keys(kt).length||Oi(K))&&(this._changes.push([K,de,kt]),this._triggerRenderFrame()),(Object.keys(ne).length||Oi(K))&&this._map._stop(!0),this._updatingCamera=!1;var It=K.cameraAnimation;It&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],It(this._map))},Mi.prototype.mergeHandlerResult=function(D,J,q,K,de){if(q){i.extend(D,q);var ne={handlerName:K,originalEvent:q.originalEvent||de};q.zoomDelta!==void 0&&(J.zoom=ne),q.panDelta!==void 0&&(J.drag=ne),q.pitchDelta!==void 0&&(J.pitch=ne),q.bearingDelta!==void 0&&(J.rotate=ne)}},Mi.prototype._applyChanges=function(){for(var D={},J={},q={},K=0,de=this._changes;K<de.length;K+=1){var ne=de[K],we=ne[0],Ue=ne[1],ft=ne[2];we.panDelta&&(D.panDelta=(D.panDelta||new i.Point(0,0))._add(we.panDelta)),we.zoomDelta&&(D.zoomDelta=(D.zoomDelta||0)+we.zoomDelta),we.bearingDelta&&(D.bearingDelta=(D.bearingDelta||0)+we.bearingDelta),we.pitchDelta&&(D.pitchDelta=(D.pitchDelta||0)+we.pitchDelta),we.around!==void 0&&(D.around=we.around),we.pinchAround!==void 0&&(D.pinchAround=we.pinchAround),we.noInertia&&(D.noInertia=we.noInertia),i.extend(J,Ue),i.extend(q,ft)}this._updateMapTransform(D,J,q),this._changes=[]},Mi.prototype._updateMapTransform=function(D,J,q){var K=this._map,de=K.transform;if(!Oi(D))return this._fireEvents(J,q,!0);var ne=D.panDelta,we=D.zoomDelta,Ue=D.bearingDelta,ft=D.pitchDelta,Zt=D.around,hr=D.pinchAround;hr!==void 0&&(Zt=hr),K._stop(!0),Zt=Zt||K.transform.centerPoint;var qt=de.pointLocation(ne?Zt.sub(ne):Zt);Ue&&(de.bearing+=Ue),ft&&(de.pitch+=ft),we&&(de.zoom+=we),de.setLocationAtPoint(qt,Zt),this._map._update(),D.noInertia||this._inertia.record(D),this._fireEvents(J,q,!0)},Mi.prototype._fireEvents=function(D,J,q){var K=this,de=mi(this._eventsInProgress),ne=mi(D),we={};for(var Ue in D){var ft=D[Ue],Zt=ft.originalEvent;this._eventsInProgress[Ue]||(we[Ue+\"start\"]=Zt),this._eventsInProgress[Ue]=D[Ue]}!de&&ne&&this._fireEvent(\"movestart\",ne.originalEvent);for(var hr in we)this._fireEvent(hr,we[hr]);ne&&this._fireEvent(\"move\",ne.originalEvent);for(var qt in D){var Ve=D[qt],et=Ve.originalEvent;this._fireEvent(qt,et)}var at={},kt;for(var Ot in this._eventsInProgress){var It=this._eventsInProgress[Ot],Bt=It.handlerName,Rt=It.originalEvent;this._handlersById[Bt].isActive()||(delete this._eventsInProgress[Ot],kt=J[Bt]||Rt,at[Ot+\"end\"]=kt)}for(var mt in at)this._fireEvent(mt,at[mt]);var Pt=mi(this._eventsInProgress);if(q&&(de||ne)&&!Pt){this._updatingCamera=!0;var ht=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),cr=function(br){return br!==0&&-K._bearingSnap<br&&br<K._bearingSnap};ht?(cr(ht.bearing||this._map.getBearing())&&(ht.bearing=0),this._map.easeTo(ht,{originalEvent:kt})):(this._map.fire(new i.Event(\"moveend\",{originalEvent:kt})),cr(this._map.getBearing())&&this._map.resetNorth()),this._updatingCamera=!1}},Mi.prototype._fireEvent=function(D,J){this._map.fire(new i.Event(D,J?{originalEvent:J}:{}))},Mi.prototype._requestFrame=function(){var D=this;return this._map.triggerRepaint(),this._map._renderTaskQueue.add(function(J){delete D._frameId,D.handleEvent(new Ni(\"renderFrame\",{timeStamp:J})),D._applyChanges()})},Mi.prototype._triggerRenderFrame=function(){this._frameId===void 0&&(this._frameId=this._requestFrame())};var Hn=function(Y){function D(J,q){Y.call(this),this._moving=!1,this._zooming=!1,this.transform=J,this._bearingSnap=q.bearingSnap,i.bindAll([\"_renderFrameCallback\"],this)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.getCenter=function(){return new i.LngLat(this.transform.center.lng,this.transform.center.lat)},D.prototype.setCenter=function(q,K){return this.jumpTo({center:q},K)},D.prototype.panBy=function(q,K,de){return q=i.Point.convert(q).mult(-1),this.panTo(this.transform.center,i.extend({offset:q},K),de)},D.prototype.panTo=function(q,K,de){return this.easeTo(i.extend({center:q},K),de)},D.prototype.getZoom=function(){return this.transform.zoom},D.prototype.setZoom=function(q,K){return this.jumpTo({zoom:q},K),this},D.prototype.zoomTo=function(q,K,de){return this.easeTo(i.extend({zoom:q},K),de)},D.prototype.zoomIn=function(q,K){return this.zoomTo(this.getZoom()+1,q,K),this},D.prototype.zoomOut=function(q,K){return this.zoomTo(this.getZoom()-1,q,K),this},D.prototype.getBearing=function(){return this.transform.bearing},D.prototype.setBearing=function(q,K){return this.jumpTo({bearing:q},K),this},D.prototype.getPadding=function(){return this.transform.padding},D.prototype.setPadding=function(q,K){return this.jumpTo({padding:q},K),this},D.prototype.rotateTo=function(q,K,de){return this.easeTo(i.extend({bearing:q},K),de)},D.prototype.resetNorth=function(q,K){return this.rotateTo(0,i.extend({duration:1e3},q),K),this},D.prototype.resetNorthPitch=function(q,K){return this.easeTo(i.extend({bearing:0,pitch:0,duration:1e3},q),K),this},D.prototype.snapToNorth=function(q,K){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(q,K):this},D.prototype.getPitch=function(){return this.transform.pitch},D.prototype.setPitch=function(q,K){return this.jumpTo({pitch:q},K),this},D.prototype.cameraForBounds=function(q,K){q=i.LngLatBounds.convert(q);var de=K&&K.bearing||0;return this._cameraForBoxAndBearing(q.getNorthWest(),q.getSouthEast(),de,K)},D.prototype._cameraForBoxAndBearing=function(q,K,de,ne){var we={top:0,bottom:0,right:0,left:0};if(ne=i.extend({padding:we,offset:[0,0],maxZoom:this.transform.maxZoom},ne),typeof ne.padding==\"number\"){var Ue=ne.padding;ne.padding={top:Ue,bottom:Ue,right:Ue,left:Ue}}ne.padding=i.extend(we,ne.padding);var ft=this.transform,Zt=ft.padding,hr=ft.project(i.LngLat.convert(q)),qt=ft.project(i.LngLat.convert(K)),Ve=hr.rotate(-de*Math.PI/180),et=qt.rotate(-de*Math.PI/180),at=new i.Point(Math.max(Ve.x,et.x),Math.max(Ve.y,et.y)),kt=new i.Point(Math.min(Ve.x,et.x),Math.min(Ve.y,et.y)),Ot=at.sub(kt),It=(ft.width-(Zt.left+Zt.right+ne.padding.left+ne.padding.right))/Ot.x,Bt=(ft.height-(Zt.top+Zt.bottom+ne.padding.top+ne.padding.bottom))/Ot.y;if(Bt<0||It<0){i.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\");return}var Rt=Math.min(ft.scaleZoom(ft.scale*Math.min(It,Bt)),ne.maxZoom),mt=typeof ne.offset.x==\"number\"?new i.Point(ne.offset.x,ne.offset.y):i.Point.convert(ne.offset),Pt=(ne.padding.left-ne.padding.right)/2,ht=(ne.padding.top-ne.padding.bottom)/2,cr=new i.Point(Pt,ht),br=cr.rotate(de*Math.PI/180),Nr=mt.add(br),Ri=Nr.mult(ft.scale/ft.zoomScale(Rt)),hi=ft.unproject(hr.add(qt).div(2).sub(Ri));return{center:hi,zoom:Rt,bearing:de}},D.prototype.fitBounds=function(q,K,de){return this._fitInternal(this.cameraForBounds(q,K),K,de)},D.prototype.fitScreenCoordinates=function(q,K,de,ne,we){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(i.Point.convert(q)),this.transform.pointLocation(i.Point.convert(K)),de,ne),ne,we)},D.prototype._fitInternal=function(q,K,de){return q?(K=i.extend(q,K),delete K.padding,K.linear?this.easeTo(K,de):this.flyTo(K,de)):this},D.prototype.jumpTo=function(q,K){this.stop();var de=this.transform,ne=!1,we=!1,Ue=!1;return\"zoom\"in q&&de.zoom!==+q.zoom&&(ne=!0,de.zoom=+q.zoom),q.center!==void 0&&(de.center=i.LngLat.convert(q.center)),\"bearing\"in q&&de.bearing!==+q.bearing&&(we=!0,de.bearing=+q.bearing),\"pitch\"in q&&de.pitch!==+q.pitch&&(Ue=!0,de.pitch=+q.pitch),q.padding!=null&&!de.isPaddingEqual(q.padding)&&(de.padding=q.padding),this.fire(new i.Event(\"movestart\",K)).fire(new i.Event(\"move\",K)),ne&&this.fire(new i.Event(\"zoomstart\",K)).fire(new i.Event(\"zoom\",K)).fire(new i.Event(\"zoomend\",K)),we&&this.fire(new i.Event(\"rotatestart\",K)).fire(new i.Event(\"rotate\",K)).fire(new i.Event(\"rotateend\",K)),Ue&&this.fire(new i.Event(\"pitchstart\",K)).fire(new i.Event(\"pitch\",K)).fire(new i.Event(\"pitchend\",K)),this.fire(new i.Event(\"moveend\",K))},D.prototype.easeTo=function(q,K){var de=this;this._stop(!1,q.easeId),q=i.extend({offset:[0,0],duration:500,easing:i.ease},q),(q.animate===!1||!q.essential&&i.browser.prefersReducedMotion)&&(q.duration=0);var ne=this.transform,we=this.getZoom(),Ue=this.getBearing(),ft=this.getPitch(),Zt=this.getPadding(),hr=\"zoom\"in q?+q.zoom:we,qt=\"bearing\"in q?this._normalizeBearing(q.bearing,Ue):Ue,Ve=\"pitch\"in q?+q.pitch:ft,et=\"padding\"in q?q.padding:ne.padding,at=i.Point.convert(q.offset),kt=ne.centerPoint.add(at),Ot=ne.pointLocation(kt),It=i.LngLat.convert(q.center||Ot);this._normalizeCenter(It);var Bt=ne.project(Ot),Rt=ne.project(It).sub(Bt),mt=ne.zoomScale(hr-we),Pt,ht;q.around&&(Pt=i.LngLat.convert(q.around),ht=ne.locationPoint(Pt));var cr={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||hr!==we,this._rotating=this._rotating||Ue!==qt,this._pitching=this._pitching||Ve!==ft,this._padding=!ne.isPaddingEqual(et),this._easeId=q.easeId,this._prepareEase(K,q.noMoveStart,cr),this._ease(function(br){if(de._zooming&&(ne.zoom=i.number(we,hr,br)),de._rotating&&(ne.bearing=i.number(Ue,qt,br)),de._pitching&&(ne.pitch=i.number(ft,Ve,br)),de._padding&&(ne.interpolatePadding(Zt,et,br),kt=ne.centerPoint.add(at)),Pt)ne.setLocationAtPoint(Pt,ht);else{var Nr=ne.zoomScale(ne.zoom-we),Ri=hr>we?Math.min(2,mt):Math.max(.5,mt),hi=Math.pow(Ri,1-br),wi=ne.unproject(Bt.add(Rt.mult(br*hi)).mult(Nr));ne.setLocationAtPoint(ne.renderWorldCopies?wi.wrap():wi,kt)}de._fireMoveEvents(K)},function(br){de._afterEase(K,br)},q),this},D.prototype._prepareEase=function(q,K,de){de===void 0&&(de={}),this._moving=!0,!K&&!de.moving&&this.fire(new i.Event(\"movestart\",q)),this._zooming&&!de.zooming&&this.fire(new i.Event(\"zoomstart\",q)),this._rotating&&!de.rotating&&this.fire(new i.Event(\"rotatestart\",q)),this._pitching&&!de.pitching&&this.fire(new i.Event(\"pitchstart\",q))},D.prototype._fireMoveEvents=function(q){this.fire(new i.Event(\"move\",q)),this._zooming&&this.fire(new i.Event(\"zoom\",q)),this._rotating&&this.fire(new i.Event(\"rotate\",q)),this._pitching&&this.fire(new i.Event(\"pitch\",q))},D.prototype._afterEase=function(q,K){if(!(this._easeId&&K&&this._easeId===K)){delete this._easeId;var de=this._zooming,ne=this._rotating,we=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,de&&this.fire(new i.Event(\"zoomend\",q)),ne&&this.fire(new i.Event(\"rotateend\",q)),we&&this.fire(new i.Event(\"pitchend\",q)),this.fire(new i.Event(\"moveend\",q))}},D.prototype.flyTo=function(q,K){var de=this;if(!q.essential&&i.browser.prefersReducedMotion){var ne=i.pick(q,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(ne,K)}this.stop(),q=i.extend({offset:[0,0],speed:1.2,curve:1.42,easing:i.ease},q);var we=this.transform,Ue=this.getZoom(),ft=this.getBearing(),Zt=this.getPitch(),hr=this.getPadding(),qt=\"zoom\"in q?i.clamp(+q.zoom,we.minZoom,we.maxZoom):Ue,Ve=\"bearing\"in q?this._normalizeBearing(q.bearing,ft):ft,et=\"pitch\"in q?+q.pitch:Zt,at=\"padding\"in q?q.padding:we.padding,kt=we.zoomScale(qt-Ue),Ot=i.Point.convert(q.offset),It=we.centerPoint.add(Ot),Bt=we.pointLocation(It),Rt=i.LngLat.convert(q.center||Bt);this._normalizeCenter(Rt);var mt=we.project(Bt),Pt=we.project(Rt).sub(mt),ht=q.curve,cr=Math.max(we.width,we.height),br=cr/kt,Nr=Pt.mag();if(\"minZoom\"in q){var Ri=i.clamp(Math.min(q.minZoom,Ue,qt),we.minZoom,we.maxZoom),hi=cr/we.zoomScale(Ri-Ue);ht=Math.sqrt(hi/Nr*2)}var wi=ht*ht;function gn(so){var Zo=(br*br-cr*cr+(so?-1:1)*wi*wi*Nr*Nr)/(2*(so?br:cr)*wi*Nr);return Math.log(Math.sqrt(Zo*Zo+1)-Zo)}function tn(so){return(Math.exp(so)-Math.exp(-so))/2}function Ci(so){return(Math.exp(so)+Math.exp(-so))/2}function qi(so){return tn(so)/Ci(so)}var Vi=gn(0),on=function(so){return Ci(Vi)/Ci(Vi+ht*so)},On=function(so){return cr*((Ci(Vi)*qi(Vi+ht*so)-tn(Vi))/wi)/Nr},Ja=(gn(1)-Vi)/ht;if(Math.abs(Nr)<1e-6||!isFinite(Ja)){if(Math.abs(cr-br)<1e-6)return this.easeTo(q,K);var co=br<cr?-1:1;Ja=Math.abs(Math.log(br/cr))/ht,On=function(){return 0},on=function(so){return Math.exp(co*ht*so)}}if(\"duration\"in q)q.duration=+q.duration;else{var rs=\"screenSpeed\"in q?+q.screenSpeed/ht:+q.speed;q.duration=1e3*Ja/rs}return q.maxDuration&&q.duration>q.maxDuration&&(q.duration=0),this._zooming=!0,this._rotating=ft!==Ve,this._pitching=et!==Zt,this._padding=!we.isPaddingEqual(at),this._prepareEase(K,!1),this._ease(function(so){var Zo=so*Ja,ys=1/on(Zo);we.zoom=so===1?qt:Ue+we.scaleZoom(ys),de._rotating&&(we.bearing=i.number(ft,Ve,so)),de._pitching&&(we.pitch=i.number(Zt,et,so)),de._padding&&(we.interpolatePadding(hr,at,so),It=we.centerPoint.add(Ot));var su=so===1?Rt:we.unproject(mt.add(Pt.mult(On(Zo))).mult(ys));we.setLocationAtPoint(we.renderWorldCopies?su.wrap():su,It),de._fireMoveEvents(K)},function(){return de._afterEase(K)},q),this},D.prototype.isEasing=function(){return!!this._easeFrameId},D.prototype.stop=function(){return this._stop()},D.prototype._stop=function(q,K){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var de=this._onEaseEnd;delete this._onEaseEnd,de.call(this,K)}if(!q){var ne=this.handlers;ne&&ne.stop(!1)}return this},D.prototype._ease=function(q,K,de){de.animate===!1||de.duration===0?(q(1),K()):(this._easeStart=i.browser.now(),this._easeOptions=de,this._onEaseFrame=q,this._onEaseEnd=K,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},D.prototype._renderFrameCallback=function(){var q=Math.min((i.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(q)),q<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},D.prototype._normalizeBearing=function(q,K){q=i.wrap(q,-180,180);var de=Math.abs(q-K);return Math.abs(q-360-K)<de&&(q-=360),Math.abs(q+360-K)<de&&(q+=360),q},D.prototype._normalizeCenter=function(q){var K=this.transform;if(!(!K.renderWorldCopies||K.lngRange)){var de=q.lng-K.center.lng;q.lng+=de>180?-360:de<-180?360:0}},D}(i.Evented),Qi=function(D){D===void 0&&(D={}),this.options=D,i.bindAll([\"_toggleAttribution\",\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Qi.prototype.getDefaultPosition=function(){return\"bottom-right\"},Qi.prototype.onAdd=function(D){var J=this.options&&this.options.compact;return this._map=D,this._container=o.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._compactButton=o.create(\"button\",\"mapboxgl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=o.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),this._innerContainer.setAttribute(\"role\",\"list\"),J&&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),J===void 0&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},Qi.prototype.onRemove=function(){o.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},Qi.prototype._setElementTitle=function(D,J){var q=this._map._getUIString(\"AttributionControl.\"+J);D.title=q,D.setAttribute(\"aria-label\",q)},Qi.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\"))},Qi.prototype._updateEditLink=function(){var D=this._editLink;D||(D=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var J=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||i.config.ACCESS_TOKEN}];if(D){var q=J.reduce(function(K,de,ne){return de.value&&(K+=de.key+\"=\"+de.value+(ne<J.length-1?\"&\":\"\")),K},\"?\");D.href=i.config.FEEDBACK_URL+\"/\"+q+(this._map._hash?this._map._hash.getHashString(!0):\"\"),D.rel=\"noopener nofollow\",this._setElementTitle(D,\"MapFeedback\")}},Qi.prototype._updateData=function(D){D&&(D.sourceDataType===\"metadata\"||D.sourceDataType===\"visibility\"||D.dataType===\"style\")&&(this._updateAttributions(),this._updateEditLink())},Qi.prototype._updateAttributions=function(){if(this._map.style){var D=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?D=D.concat(this.options.customAttribution.map(function(Ue){return typeof Ue!=\"string\"?\"\":Ue})):typeof this.options.customAttribution==\"string\"&&D.push(this.options.customAttribution)),this._map.style.stylesheet){var J=this._map.style.stylesheet;this.styleOwner=J.owner,this.styleId=J.id}var q=this._map.style.sourceCaches;for(var K in q){var de=q[K];if(de.used){var ne=de.getSource();ne.attribution&&D.indexOf(ne.attribution)<0&&D.push(ne.attribution)}}D.sort(function(Ue,ft){return Ue.length-ft.length}),D=D.filter(function(Ue,ft){for(var Zt=ft+1;Zt<D.length;Zt++)if(D[Zt].indexOf(Ue)>=0)return!1;return!0});var we=D.join(\" | \");we!==this._attribHTML&&(this._attribHTML=we,D.length?(this._innerContainer.innerHTML=we,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},Qi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\",\"mapboxgl-compact-show\")};var ji=function(){i.bindAll([\"_updateLogo\"],this),i.bindAll([\"_updateCompact\"],this)};ji.prototype.onAdd=function(D){this._map=D,this._container=o.create(\"div\",\"mapboxgl-ctrl\");var J=o.create(\"a\",\"mapboxgl-ctrl-logo\");return J.target=\"_blank\",J.rel=\"noopener nofollow\",J.href=\"https://www.mapbox.com/\",J.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),J.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(J),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},ji.prototype.onRemove=function(){o.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},ji.prototype.getDefaultPosition=function(){return\"bottom-left\"},ji.prototype._updateLogo=function(D){(!D||D.sourceDataType===\"metadata\")&&(this._container.style.display=this._logoRequired()?\"block\":\"none\")},ji.prototype._logoRequired=function(){if(this._map.style){var D=this._map.style.sourceCaches;for(var J in D){var q=D[J].getSource();if(q.mapbox_logo)return!0}return!1}},ji.prototype._updateCompact=function(){var D=this._container.children;if(D.length){var J=D[0];this._map.getCanvasContainer().offsetWidth<250?J.classList.add(\"mapboxgl-compact\"):J.classList.remove(\"mapboxgl-compact\")}};var si=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};si.prototype.add=function(D){var J=++this._id,q=this._queue;return q.push({callback:D,id:J,cancelled:!1}),J},si.prototype.remove=function(D){for(var J=this._currentlyRunning,q=J?this._queue.concat(J):this._queue,K=0,de=q;K<de.length;K+=1){var ne=de[K];if(ne.id===D){ne.cancelled=!0;return}}},si.prototype.run=function(D){D===void 0&&(D=0);var J=this._currentlyRunning=this._queue;this._queue=[];for(var q=0,K=J;q<K.length;q+=1){var de=K[q];if(!de.cancelled&&(de.callback(D),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},si.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Mr={\"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\"},Yr=i.window.HTMLImageElement,xi=i.window.HTMLElement,Ii=i.window.ImageBitmap,ci=-2,nn=22,Xi=0,qn=60,vi={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:ci,maxZoom:nn,minPitch:Xi,maxPitch:qn,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},li=function(Y){function D(q){var K=this;if(q=i.extend({},vi,q),q.minZoom!=null&&q.maxZoom!=null&&q.minZoom>q.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(q.minPitch!=null&&q.maxPitch!=null&&q.minPitch>q.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(q.minPitch!=null&&q.minPitch<Xi)throw new Error(\"minPitch must be greater than or equal to \"+Xi);if(q.maxPitch!=null&&q.maxPitch>qn)throw new Error(\"maxPitch must be less than or equal to \"+qn);var de=new wo(q.minZoom,q.maxZoom,q.minPitch,q.maxPitch,q.renderWorldCopies);if(Y.call(this,de,q),this._interactive=q.interactive,this._maxTileCacheSize=q.maxTileCacheSize,this._failIfMajorPerformanceCaveat=q.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=q.preserveDrawingBuffer,this._antialias=q.antialias,this._trackResize=q.trackResize,this._bearingSnap=q.bearingSnap,this._refreshExpiredTiles=q.refreshExpiredTiles,this._fadeDuration=q.fadeDuration,this._crossSourceCollisions=q.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=q.collectResourceTiming,this._renderTaskQueue=new si,this._controls=[],this._mapId=i.uniqueId(),this._locale=i.extend({},Mr,q.locale),this._clickTolerance=q.clickTolerance,this._requestManager=new i.RequestManager(q.transformRequest,q.accessToken),typeof q.container==\"string\"){if(this._container=i.window.document.getElementById(q.container),!this._container)throw new Error(\"Container '\"+q.container+\"' not found.\")}else if(q.container instanceof xi)this._container=q.container;else throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");if(q.maxBounds&&this.setMaxBounds(q.maxBounds),i.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_onMapScroll\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),this.painter===void 0)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",function(){return K._update(!1)}),this.on(\"moveend\",function(){return K._update(!1)}),this.on(\"zoom\",function(){return K._update(!0)}),typeof i.window!=\"undefined\"&&(i.window.addEventListener(\"online\",this._onWindowOnline,!1),i.window.addEventListener(\"resize\",this._onWindowResize,!1),i.window.addEventListener(\"orientationchange\",this._onWindowResize,!1)),this.handlers=new Mi(this,q);var ne=typeof q.hash==\"string\"&&q.hash||void 0;this._hash=q.hash&&new Nl(ne).addTo(this),(!this._hash||!this._hash._onHashChange())&&(this.jumpTo({center:q.center,zoom:q.zoom,bearing:q.bearing,pitch:q.pitch}),q.bounds&&(this.resize(),this.fitBounds(q.bounds,i.extend({},q.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=q.localIdeographFontFamily,q.style&&this.setStyle(q.style,{localIdeographFontFamily:q.localIdeographFontFamily}),q.attributionControl&&this.addControl(new Qi({customAttribution:q.customAttribution})),this.addControl(new ji,q.logoPosition),this.on(\"style.load\",function(){K.transform.unmodified&&K.jumpTo(K.style.stylesheet)}),this.on(\"data\",function(we){K._update(we.dataType===\"style\"),K.fire(new i.Event(we.dataType+\"data\",we))}),this.on(\"dataloading\",function(we){K.fire(new i.Event(we.dataType+\"dataloading\",we))})}Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D;var J={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return D.prototype._getMapId=function(){return this._mapId},D.prototype.addControl=function(K,de){if(de===void 0&&(K.getDefaultPosition?de=K.getDefaultPosition():de=\"top-right\"),!K||!K.onAdd)return this.fire(new i.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var ne=K.onAdd(this);this._controls.push(K);var we=this._controlPositions[de];return de.indexOf(\"bottom\")!==-1?we.insertBefore(ne,we.firstChild):we.appendChild(ne),this},D.prototype.removeControl=function(K){if(!K||!K.onRemove)return this.fire(new i.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var de=this._controls.indexOf(K);return de>-1&&this._controls.splice(de,1),K.onRemove(this),this},D.prototype.hasControl=function(K){return this._controls.indexOf(K)>-1},D.prototype.resize=function(K){var de=this._containerDimensions(),ne=de[0],we=de[1];this._resizeCanvas(ne,we),this.transform.resize(ne,we),this.painter.resize(ne,we);var Ue=!this._moving;return Ue&&(this.stop(),this.fire(new i.Event(\"movestart\",K)).fire(new i.Event(\"move\",K))),this.fire(new i.Event(\"resize\",K)),Ue&&this.fire(new i.Event(\"moveend\",K)),this},D.prototype.getBounds=function(){return this.transform.getBounds()},D.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},D.prototype.setMaxBounds=function(K){return this.transform.setMaxBounds(i.LngLatBounds.convert(K)),this._update()},D.prototype.setMinZoom=function(K){if(K=K==null?ci:K,K>=ci&&K<=this.transform.maxZoom)return this.transform.minZoom=K,this._update(),this.getZoom()<K&&this.setZoom(K),this;throw new Error(\"minZoom must be between \"+ci+\" and the current maxZoom, inclusive\")},D.prototype.getMinZoom=function(){return this.transform.minZoom},D.prototype.setMaxZoom=function(K){if(K=K==null?nn:K,K>=this.transform.minZoom)return this.transform.maxZoom=K,this._update(),this.getZoom()>K&&this.setZoom(K),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},D.prototype.getMaxZoom=function(){return this.transform.maxZoom},D.prototype.setMinPitch=function(K){if(K=K==null?Xi:K,K<Xi)throw new Error(\"minPitch must be greater than or equal to \"+Xi);if(K>=Xi&&K<=this.transform.maxPitch)return this.transform.minPitch=K,this._update(),this.getPitch()<K&&this.setPitch(K),this;throw new Error(\"minPitch must be between \"+Xi+\" and the current maxPitch, inclusive\")},D.prototype.getMinPitch=function(){return this.transform.minPitch},D.prototype.setMaxPitch=function(K){if(K=K==null?qn:K,K>qn)throw new Error(\"maxPitch must be less than or equal to \"+qn);if(K>=this.transform.minPitch)return this.transform.maxPitch=K,this._update(),this.getPitch()>K&&this.setPitch(K),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},D.prototype.getMaxPitch=function(){return this.transform.maxPitch},D.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},D.prototype.setRenderWorldCopies=function(K){return this.transform.renderWorldCopies=K,this._update()},D.prototype.project=function(K){return this.transform.locationPoint(i.LngLat.convert(K))},D.prototype.unproject=function(K){return this.transform.pointLocation(i.Point.convert(K))},D.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},D.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},D.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},D.prototype._createDelegatedListener=function(K,de,ne){var we=this,Ue;if(K===\"mouseenter\"||K===\"mouseover\"){var ft=!1,Zt=function(kt){var Ot=we.getLayer(de)?we.queryRenderedFeatures(kt.point,{layers:[de]}):[];Ot.length?ft||(ft=!0,ne.call(we,new se(K,we,kt.originalEvent,{features:Ot}))):ft=!1},hr=function(){ft=!1};return{layer:de,listener:ne,delegates:{mousemove:Zt,mouseout:hr}}}else if(K===\"mouseleave\"||K===\"mouseout\"){var qt=!1,Ve=function(kt){var Ot=we.getLayer(de)?we.queryRenderedFeatures(kt.point,{layers:[de]}):[];Ot.length?qt=!0:qt&&(qt=!1,ne.call(we,new se(K,we,kt.originalEvent)))},et=function(kt){qt&&(qt=!1,ne.call(we,new se(K,we,kt.originalEvent)))};return{layer:de,listener:ne,delegates:{mousemove:Ve,mouseout:et}}}else{var at=function(kt){var Ot=we.getLayer(de)?we.queryRenderedFeatures(kt.point,{layers:[de]}):[];Ot.length&&(kt.features=Ot,ne.call(we,kt),delete kt.features)};return{layer:de,listener:ne,delegates:(Ue={},Ue[K]=at,Ue)}}},D.prototype.on=function(K,de,ne){if(ne===void 0)return Y.prototype.on.call(this,K,de);var we=this._createDelegatedListener(K,de,ne);this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[K]=this._delegatedListeners[K]||[],this._delegatedListeners[K].push(we);for(var Ue in we.delegates)this.on(Ue,we.delegates[Ue]);return this},D.prototype.once=function(K,de,ne){if(ne===void 0)return Y.prototype.once.call(this,K,de);var we=this._createDelegatedListener(K,de,ne);for(var Ue in we.delegates)this.once(Ue,we.delegates[Ue]);return this},D.prototype.off=function(K,de,ne){var we=this;if(ne===void 0)return Y.prototype.off.call(this,K,de);var Ue=function(ft){for(var Zt=ft[K],hr=0;hr<Zt.length;hr++){var qt=Zt[hr];if(qt.layer===de&&qt.listener===ne){for(var Ve in qt.delegates)we.off(Ve,qt.delegates[Ve]);return Zt.splice(hr,1),we}}};return this._delegatedListeners&&this._delegatedListeners[K]&&Ue(this._delegatedListeners),this},D.prototype.queryRenderedFeatures=function(K,de){if(!this.style)return[];de===void 0&&K!==void 0&&!(K instanceof i.Point)&&!Array.isArray(K)&&(de=K,K=void 0),de=de||{},K=K||[[0,0],[this.transform.width,this.transform.height]];var ne;if(K instanceof i.Point||typeof K[0]==\"number\")ne=[i.Point.convert(K)];else{var we=i.Point.convert(K[0]),Ue=i.Point.convert(K[1]);ne=[we,new i.Point(Ue.x,we.y),Ue,new i.Point(we.x,Ue.y),we]}return this.style.queryRenderedFeatures(ne,de,this.transform)},D.prototype.querySourceFeatures=function(K,de){return this.style.querySourceFeatures(K,de)},D.prototype.setStyle=function(K,de){return de=i.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},de),de.diff!==!1&&de.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&K?(this._diffStyle(K,de),this):(this._localIdeographFontFamily=de.localIdeographFontFamily,this._updateStyle(K,de))},D.prototype._getUIString=function(K){var de=this._locale[K];if(de==null)throw new Error(\"Missing UI string '\"+K+\"'\");return de},D.prototype._updateStyle=function(K,de){if(this.style&&(this.style.setEventedParent(null),this.style._remove()),K)this.style=new yu(this,de||{});else return delete this.style,this;return this.style.setEventedParent(this,{style:this.style}),typeof K==\"string\"?this.style.loadURL(K):this.style.loadJSON(K),this},D.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new yu(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},D.prototype._diffStyle=function(K,de){var ne=this;if(typeof K==\"string\"){var we=this._requestManager.normalizeStyleURL(K),Ue=this._requestManager.transformRequest(we,i.ResourceType.Style);i.getJSON(Ue,function(ft,Zt){ft?ne.fire(new i.ErrorEvent(ft)):Zt&&ne._updateDiff(Zt,de)})}else typeof K==\"object\"&&this._updateDiff(K,de)},D.prototype._updateDiff=function(K,de){try{this.style.setState(K)&&this._update(!0)}catch(ne){i.warnOnce(\"Unable to perform style diff: \"+(ne.message||ne.error||ne)+\".  Rebuilding the style from scratch.\"),this._updateStyle(K,de)}},D.prototype.getStyle=function(){if(this.style)return this.style.serialize()},D.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():i.warnOnce(\"There is no style added to the map.\")},D.prototype.addSource=function(K,de){return this._lazyInitEmptyStyle(),this.style.addSource(K,de),this._update(!0)},D.prototype.isSourceLoaded=function(K){var de=this.style&&this.style.sourceCaches[K];if(de===void 0){this.fire(new i.ErrorEvent(new Error(\"There is no source with ID '\"+K+\"'\")));return}return de.loaded()},D.prototype.areTilesLoaded=function(){var K=this.style&&this.style.sourceCaches;for(var de in K){var ne=K[de],we=ne._tiles;for(var Ue in we){var ft=we[Ue];if(!(ft.state===\"loaded\"||ft.state===\"errored\"))return!1}}return!0},D.prototype.addSourceType=function(K,de,ne){return this._lazyInitEmptyStyle(),this.style.addSourceType(K,de,ne)},D.prototype.removeSource=function(K){return this.style.removeSource(K),this._update(!0)},D.prototype.getSource=function(K){return this.style.getSource(K)},D.prototype.addImage=function(K,de,ne){ne===void 0&&(ne={});var we=ne.pixelRatio;we===void 0&&(we=1);var Ue=ne.sdf;Ue===void 0&&(Ue=!1);var ft=ne.stretchX,Zt=ne.stretchY,hr=ne.content;this._lazyInitEmptyStyle();var qt=0;if(de instanceof Yr||Ii&&de instanceof Ii){var Ve=i.browser.getImageData(de),et=Ve.width,at=Ve.height,kt=Ve.data;this.style.addImage(K,{data:new i.RGBAImage({width:et,height:at},kt),pixelRatio:we,stretchX:ft,stretchY:Zt,content:hr,sdf:Ue,version:qt})}else{if(de.width===void 0||de.height===void 0)return this.fire(new i.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 Ot=de.width,It=de.height,Bt=de.data,Rt=de;this.style.addImage(K,{data:new i.RGBAImage({width:Ot,height:It},new Uint8Array(Bt)),pixelRatio:we,stretchX:ft,stretchY:Zt,content:hr,sdf:Ue,version:qt,userImage:Rt}),Rt.onAdd&&Rt.onAdd(this,K)}},D.prototype.updateImage=function(K,de){var ne=this.style.getImage(K);if(!ne)return this.fire(new i.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var we=de instanceof Yr||Ii&&de instanceof Ii?i.browser.getImageData(de):de,Ue=we.width,ft=we.height,Zt=we.data;if(Ue===void 0||ft===void 0)return this.fire(new i.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(Ue!==ne.data.width||ft!==ne.data.height)return this.fire(new i.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var hr=!(de instanceof Yr||Ii&&de instanceof Ii);ne.data.replace(Zt,hr),this.style.updateImage(K,ne)},D.prototype.hasImage=function(K){return K?!!this.style.getImage(K):(this.fire(new i.ErrorEvent(new Error(\"Missing required image id\"))),!1)},D.prototype.removeImage=function(K){this.style.removeImage(K)},D.prototype.loadImage=function(K,de){i.getImage(this._requestManager.transformRequest(K,i.ResourceType.Image),de)},D.prototype.listImages=function(){return this.style.listImages()},D.prototype.addLayer=function(K,de){return this._lazyInitEmptyStyle(),this.style.addLayer(K,de),this._update(!0)},D.prototype.moveLayer=function(K,de){return this.style.moveLayer(K,de),this._update(!0)},D.prototype.removeLayer=function(K){return this.style.removeLayer(K),this._update(!0)},D.prototype.getLayer=function(K){return this.style.getLayer(K)},D.prototype.setLayerZoomRange=function(K,de,ne){return this.style.setLayerZoomRange(K,de,ne),this._update(!0)},D.prototype.setFilter=function(K,de,ne){return ne===void 0&&(ne={}),this.style.setFilter(K,de,ne),this._update(!0)},D.prototype.getFilter=function(K){return this.style.getFilter(K)},D.prototype.setPaintProperty=function(K,de,ne,we){return we===void 0&&(we={}),this.style.setPaintProperty(K,de,ne,we),this._update(!0)},D.prototype.getPaintProperty=function(K,de){return this.style.getPaintProperty(K,de)},D.prototype.setLayoutProperty=function(K,de,ne,we){return we===void 0&&(we={}),this.style.setLayoutProperty(K,de,ne,we),this._update(!0)},D.prototype.getLayoutProperty=function(K,de){return this.style.getLayoutProperty(K,de)},D.prototype.setLight=function(K,de){return de===void 0&&(de={}),this._lazyInitEmptyStyle(),this.style.setLight(K,de),this._update(!0)},D.prototype.getLight=function(){return this.style.getLight()},D.prototype.setFeatureState=function(K,de){return this.style.setFeatureState(K,de),this._update()},D.prototype.removeFeatureState=function(K,de){return this.style.removeFeatureState(K,de),this._update()},D.prototype.getFeatureState=function(K){return this.style.getFeatureState(K)},D.prototype.getContainer=function(){return this._container},D.prototype.getCanvasContainer=function(){return this._canvasContainer},D.prototype.getCanvas=function(){return this._canvas},D.prototype._containerDimensions=function(){var K=0,de=0;return this._container&&(K=this._container.clientWidth||400,de=this._container.clientHeight||300),[K,de]},D.prototype._detectMissingCSS=function(){var K=i.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\");K!==\"rgb(250, 128, 114)\"&&i.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/.\")},D.prototype._setupContainer=function(){var K=this._container;K.classList.add(\"mapboxgl-map\");var de=this._missingCSSCanary=o.create(\"div\",\"mapboxgl-canary\",K);de.style.visibility=\"hidden\",this._detectMissingCSS();var ne=this._canvasContainer=o.create(\"div\",\"mapboxgl-canvas-container\",K);this._interactive&&ne.classList.add(\"mapboxgl-interactive\"),this._canvas=o.create(\"canvas\",\"mapboxgl-canvas\",ne),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 we=this._containerDimensions();this._resizeCanvas(we[0],we[1]);var Ue=this._controlContainer=o.create(\"div\",\"mapboxgl-control-container\",K),ft=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach(function(Zt){ft[Zt]=o.create(\"div\",\"mapboxgl-ctrl-\"+Zt,Ue)}),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)},D.prototype._resizeCanvas=function(K,de){var ne=i.browser.devicePixelRatio||1;this._canvas.width=ne*K,this._canvas.height=ne*de,this._canvas.style.width=K+\"px\",this._canvas.style.height=de+\"px\"},D.prototype._setupPainter=function(){var K=i.extend({},a.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),de=this._canvas.getContext(\"webgl\",K)||this._canvas.getContext(\"experimental-webgl\",K);if(!de){this.fire(new i.ErrorEvent(new Error(\"Failed to initialize WebGL\")));return}this.painter=new mo(de,this.transform),i.webpSupported.testSupport(de)},D.prototype._contextLost=function(K){K.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new i.Event(\"webglcontextlost\",{originalEvent:K}))},D.prototype._contextRestored=function(K){this._setupPainter(),this.resize(),this._update(),this.fire(new i.Event(\"webglcontextrestored\",{originalEvent:K}))},D.prototype._onMapScroll=function(K){if(K.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},D.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},D.prototype._update=function(K){return this.style?(this._styleDirty=this._styleDirty||K,this._sourcesDirty=!0,this.triggerRepaint(),this):this},D.prototype._requestRenderFrame=function(K){return this._update(),this._renderTaskQueue.add(K)},D.prototype._cancelRenderFrame=function(K){this._renderTaskQueue.remove(K)},D.prototype._render=function(K){var de=this,ne,we=0,Ue=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(ne=Ue.createQueryEXT(),Ue.beginQueryEXT(Ue.TIME_ELAPSED_EXT,ne),we=i.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(K),!this._removed){var ft=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var Zt=this.transform.zoom,hr=i.browser.now();this.style.zoomHistory.update(Zt,hr);var qt=new i.EvaluationParameters(Zt,{now:hr,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),Ve=qt.crossFadingFactor();(Ve!==1||Ve!==this._crossFadingFactor)&&(ft=!0,this._crossFadingFactor=Ve),this.style.update(qt)}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 i.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new i.Event(\"load\"))),this.style&&(this.style.hasTransitions()||ft)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var et=i.browser.now()-we;Ue.endQueryEXT(Ue.TIME_ELAPSED_EXT,ne),setTimeout(function(){var Ot=Ue.getQueryObjectEXT(ne,Ue.QUERY_RESULT_EXT)/1e6;Ue.deleteQueryEXT(ne),de.fire(new i.Event(\"gpu-timing-frame\",{cpuTime:et,gpuTime:Ot}))},50)}if(this.listens(\"gpu-timing-layer\")){var at=this.painter.collectGpuTimers();setTimeout(function(){var Ot=de.painter.queryGpuTimers(at);de.fire(new i.Event(\"gpu-timing-layer\",{layerTimes:Ot}))},50)}var kt=this._sourcesDirty||this._styleDirty||this._placementDirty;return kt||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new i.Event(\"idle\")),this._loaded&&!this._fullyLoaded&&!kt&&(this._fullyLoaded=!0),this}},D.prototype.remove=function(){this._hash&&this._hash.remove();for(var K=0,de=this._controls;K<de.length;K+=1){var ne=de[K];ne.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),typeof i.window!=\"undefined\"&&(i.window.removeEventListener(\"resize\",this._onWindowResize,!1),i.window.removeEventListener(\"orientationchange\",this._onWindowResize,!1),i.window.removeEventListener(\"online\",this._onWindowOnline,!1));var we=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");we&&we.loseContext&&we.loseContext(),mn(this._canvasContainer),mn(this._controlContainer),mn(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new i.Event(\"remove\"))},D.prototype.triggerRepaint=function(){var K=this;this.style&&!this._frame&&(this._frame=i.browser.frame(function(de){K._frame=null,K._render(de)}))},D.prototype._onWindowOnline=function(){this._update()},D.prototype._onWindowResize=function(K){this._trackResize&&this.resize({originalEvent:K})._update()},J.showTileBoundaries.get=function(){return!!this._showTileBoundaries},J.showTileBoundaries.set=function(q){this._showTileBoundaries!==q&&(this._showTileBoundaries=q,this._update())},J.showPadding.get=function(){return!!this._showPadding},J.showPadding.set=function(q){this._showPadding!==q&&(this._showPadding=q,this._update())},J.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},J.showCollisionBoxes.set=function(q){this._showCollisionBoxes!==q&&(this._showCollisionBoxes=q,q?this.style._generateCollisionBoxes():this._update())},J.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},J.showOverdrawInspector.set=function(q){this._showOverdrawInspector!==q&&(this._showOverdrawInspector=q,this._update())},J.repaint.get=function(){return!!this._repaint},J.repaint.set=function(q){this._repaint!==q&&(this._repaint=q,this.triggerRepaint())},J.vertices.get=function(){return!!this._vertices},J.vertices.set=function(q){this._vertices=q,this._update()},D.prototype._setCacheLimits=function(K,de){i.setCacheLimits(K,de)},J.version.get=function(){return i.version},Object.defineProperties(D.prototype,J),D}(Hn);function mn(Y){Y.parentNode&&Y.parentNode.removeChild(Y)}var Ki={showCompass:!0,showZoom:!0,visualizePitch:!1},Ui=function(D){var J=this;this.options=i.extend({},Ki,D),this._container=o.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",function(q){return q.preventDefault()}),this.options.showZoom&&(i.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",function(q){return J._map.zoomIn({},{originalEvent:q})}),o.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",function(q){return J._map.zoomOut({},{originalEvent:q})}),o.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(i.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",function(q){J.options.visualizePitch?J._map.resetNorthPitch({},{originalEvent:q}):J._map.resetNorth({},{originalEvent:q})}),this._compassIcon=o.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};Ui.prototype._updateZoomButtons=function(){var D=this._map.getZoom(),J=D===this._map.getMaxZoom(),q=D===this._map.getMinZoom();this._zoomInButton.disabled=J,this._zoomOutButton.disabled=q,this._zoomInButton.setAttribute(\"aria-disabled\",J.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",q.toString())},Ui.prototype._rotateCompassArrow=function(){var D=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=D},Ui.prototype.onAdd=function(D){return this._map=D,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 Bi(this._map,this._compass,this.options.visualizePitch)),this._container},Ui.prototype.onRemove=function(){o.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},Ui.prototype._createButton=function(D,J){var q=o.create(\"button\",D,this._container);return q.type=\"button\",q.addEventListener(\"click\",J),q},Ui.prototype._setButtonTitle=function(D,J){var q=this._map._getUIString(\"NavigationControl.\"+J);D.title=q,D.setAttribute(\"aria-label\",q)};var Bi=function(D,J,q){q===void 0&&(q=!1),this._clickTolerance=10,this.element=J,this.mouseRotate=new Rn({clickTolerance:D.dragRotate._mouseRotate._clickTolerance}),this.map=D,q&&(this.mousePitch=new Cn({clickTolerance:D.dragRotate._mousePitch._clickTolerance})),i.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),o.addEventListener(J,\"mousedown\",this.mousedown),o.addEventListener(J,\"touchstart\",this.touchstart,{passive:!1}),o.addEventListener(J,\"touchmove\",this.touchmove),o.addEventListener(J,\"touchend\",this.touchend),o.addEventListener(J,\"touchcancel\",this.reset)};Bi.prototype.down=function(D,J){this.mouseRotate.mousedown(D,J),this.mousePitch&&this.mousePitch.mousedown(D,J),o.disableDrag()},Bi.prototype.move=function(D,J){var q=this.map,K=this.mouseRotate.mousemoveWindow(D,J);if(K&&K.bearingDelta&&q.setBearing(q.getBearing()+K.bearingDelta),this.mousePitch){var de=this.mousePitch.mousemoveWindow(D,J);de&&de.pitchDelta&&q.setPitch(q.getPitch()+de.pitchDelta)}},Bi.prototype.off=function(){var D=this.element;o.removeEventListener(D,\"mousedown\",this.mousedown),o.removeEventListener(D,\"touchstart\",this.touchstart,{passive:!1}),o.removeEventListener(D,\"touchmove\",this.touchmove),o.removeEventListener(D,\"touchend\",this.touchend),o.removeEventListener(D,\"touchcancel\",this.reset),this.offTemp()},Bi.prototype.offTemp=function(){o.enableDrag(),o.removeEventListener(i.window,\"mousemove\",this.mousemove),o.removeEventListener(i.window,\"mouseup\",this.mouseup)},Bi.prototype.mousedown=function(D){this.down(i.extend({},D,{ctrlKey:!0,preventDefault:function(){return D.preventDefault()}}),o.mousePos(this.element,D)),o.addEventListener(i.window,\"mousemove\",this.mousemove),o.addEventListener(i.window,\"mouseup\",this.mouseup)},Bi.prototype.mousemove=function(D){this.move(D,o.mousePos(this.element,D))},Bi.prototype.mouseup=function(D){this.mouseRotate.mouseupWindow(D),this.mousePitch&&this.mousePitch.mouseupWindow(D),this.offTemp()},Bi.prototype.touchstart=function(D){D.targetTouches.length!==1?this.reset():(this._startPos=this._lastPos=o.touchPos(this.element,D.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return D.preventDefault()}},this._startPos))},Bi.prototype.touchmove=function(D){D.targetTouches.length!==1?this.reset():(this._lastPos=o.touchPos(this.element,D.targetTouches)[0],this.move({preventDefault:function(){return D.preventDefault()}},this._lastPos))},Bi.prototype.touchend=function(D){D.targetTouches.length===0&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Bi.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};function vn(Y,D,J){if(Y=new i.LngLat(Y.lng,Y.lat),D){var q=new i.LngLat(Y.lng-360,Y.lat),K=new i.LngLat(Y.lng+360,Y.lat),de=J.locationPoint(Y).distSqr(D);J.locationPoint(q).distSqr(D)<de?Y=q:J.locationPoint(K).distSqr(D)<de&&(Y=K)}for(;Math.abs(Y.lng-J.center.lng)>180;){var ne=J.locationPoint(Y);if(ne.x>=0&&ne.y>=0&&ne.x<=J.width&&ne.y<=J.height)break;Y.lng>J.center.lng?Y.lng-=360:Y.lng+=360}return Y}var Un={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 na(Y,D,J){var q=Y.classList;for(var K in Un)q.remove(\"mapboxgl-\"+J+\"-anchor-\"+K);q.add(\"mapboxgl-\"+J+\"-anchor-\"+D)}var Yi=function(Y){function D(J,q){if(Y.call(this),(J instanceof i.window.HTMLElement||q)&&(J=i.extend({element:J},q)),i.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=J&&J.anchor||\"center\",this._color=J&&J.color||\"#3FB1CE\",this._scale=J&&J.scale||1,this._draggable=J&&J.draggable||!1,this._clickTolerance=J&&J.clickTolerance||0,this._isDragging=!1,this._state=\"inactive\",this._rotation=J&&J.rotation||0,this._rotationAlignment=J&&J.rotationAlignment||\"auto\",this._pitchAlignment=J&&J.pitchAlignment&&J.pitchAlignment!==\"auto\"?J.pitchAlignment:this._rotationAlignment,!J||!J.element){this._defaultMarker=!0,this._element=o.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var K=o.createNS(\"http://www.w3.org/2000/svg\",\"svg\"),de=41,ne=27;K.setAttributeNS(null,\"display\",\"block\"),K.setAttributeNS(null,\"height\",de+\"px\"),K.setAttributeNS(null,\"width\",ne+\"px\"),K.setAttributeNS(null,\"viewBox\",\"0 0 \"+ne+\" \"+de);var we=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");we.setAttributeNS(null,\"stroke\",\"none\"),we.setAttributeNS(null,\"stroke-width\",\"1\"),we.setAttributeNS(null,\"fill\",\"none\"),we.setAttributeNS(null,\"fill-rule\",\"evenodd\");var Ue=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");Ue.setAttributeNS(null,\"fill-rule\",\"nonzero\");var ft=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");ft.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),ft.setAttributeNS(null,\"fill\",\"#000000\");for(var Zt=[{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\"}],hr=0,qt=Zt;hr<qt.length;hr+=1){var Ve=qt[hr],et=o.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");et.setAttributeNS(null,\"opacity\",\"0.04\"),et.setAttributeNS(null,\"cx\",\"10.5\"),et.setAttributeNS(null,\"cy\",\"5.80029008\"),et.setAttributeNS(null,\"rx\",Ve.rx),et.setAttributeNS(null,\"ry\",Ve.ry),ft.appendChild(et)}var at=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");at.setAttributeNS(null,\"fill\",this._color);var kt=o.createNS(\"http://www.w3.org/2000/svg\",\"path\");kt.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\"),at.appendChild(kt);var Ot=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");Ot.setAttributeNS(null,\"opacity\",\"0.25\"),Ot.setAttributeNS(null,\"fill\",\"#000000\");var It=o.createNS(\"http://www.w3.org/2000/svg\",\"path\");It.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\"),Ot.appendChild(It);var Bt=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");Bt.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),Bt.setAttributeNS(null,\"fill\",\"#FFFFFF\");var Rt=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");Rt.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var mt=o.createNS(\"http://www.w3.org/2000/svg\",\"circle\");mt.setAttributeNS(null,\"fill\",\"#000000\"),mt.setAttributeNS(null,\"opacity\",\"0.25\"),mt.setAttributeNS(null,\"cx\",\"5.5\"),mt.setAttributeNS(null,\"cy\",\"5.5\"),mt.setAttributeNS(null,\"r\",\"5.4999962\");var Pt=o.createNS(\"http://www.w3.org/2000/svg\",\"circle\");Pt.setAttributeNS(null,\"fill\",\"#FFFFFF\"),Pt.setAttributeNS(null,\"cx\",\"5.5\"),Pt.setAttributeNS(null,\"cy\",\"5.5\"),Pt.setAttributeNS(null,\"r\",\"5.4999962\"),Rt.appendChild(mt),Rt.appendChild(Pt),Ue.appendChild(ft),Ue.appendChild(at),Ue.appendChild(Ot),Ue.appendChild(Bt),Ue.appendChild(Rt),K.appendChild(Ue),K.setAttributeNS(null,\"height\",de*this._scale+\"px\"),K.setAttributeNS(null,\"width\",ne*this._scale+\"px\"),this._element.appendChild(K),this._offset=i.Point.convert(J&&J.offset||[0,-14])}else this._element=J.element,this._offset=i.Point.convert(J&&J.offset||[0,0]);this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",function(ht){ht.preventDefault()}),this._element.addEventListener(\"mousedown\",function(ht){ht.preventDefault()}),na(this._element,this._anchor,\"marker\"),this._popup=null}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.addTo=function(q){return this.remove(),this._map=q,q.getCanvasContainer().appendChild(this._element),q.on(\"move\",this._update),q.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},D.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),o.remove(this._element),this._popup&&this._popup.remove(),this},D.prototype.getLngLat=function(){return this._lngLat},D.prototype.setLngLat=function(q){return this._lngLat=i.LngLat.convert(q),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},D.prototype.getElement=function(){return this._element},D.prototype.setPopup=function(q){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),q){if(!(\"offset\"in q.options)){var K=38.1,de=13.5,ne=Math.sqrt(Math.pow(de,2)/2);q.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-K],\"bottom-left\":[ne,(K-de+ne)*-1],\"bottom-right\":[-ne,(K-de+ne)*-1],left:[de,(K-de)*-1],right:[-de,(K-de)*-1]}:this._offset}this._popup=q,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},D.prototype._onKeyPress=function(q){var K=q.code,de=q.charCode||q.keyCode;(K===\"Space\"||K===\"Enter\"||de===32||de===13)&&this.togglePopup()},D.prototype._onMapClick=function(q){var K=q.originalEvent.target,de=this._element;this._popup&&(K===de||de.contains(K))&&this.togglePopup()},D.prototype.getPopup=function(){return this._popup},D.prototype.togglePopup=function(){var q=this._popup;if(q)q.isOpen()?q.remove():q.addTo(this._map);else return this;return this},D.prototype._update=function(q){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=vn(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var K=\"\";this._rotationAlignment===\"viewport\"||this._rotationAlignment===\"auto\"?K=\"rotateZ(\"+this._rotation+\"deg)\":this._rotationAlignment===\"map\"&&(K=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var de=\"\";this._pitchAlignment===\"viewport\"||this._pitchAlignment===\"auto\"?de=\"rotateX(0deg)\":this._pitchAlignment===\"map\"&&(de=\"rotateX(\"+this._map.getPitch()+\"deg)\"),(!q||q.type===\"moveend\")&&(this._pos=this._pos.round()),o.setTransform(this._element,Un[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+de+\" \"+K)}},D.prototype.getOffset=function(){return this._offset},D.prototype.setOffset=function(q){return this._offset=i.Point.convert(q),this._update(),this},D.prototype._onMove=function(q){if(!this._isDragging){var K=this._clickTolerance||this._map._clickTolerance;this._isDragging=q.point.dist(this._pointerdownPos)>=K}this._isDragging&&(this._pos=q.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",this._state===\"pending\"&&(this._state=\"active\",this.fire(new i.Event(\"dragstart\"))),this.fire(new i.Event(\"drag\")))},D.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),this._state===\"active\"&&this.fire(new i.Event(\"dragend\")),this._state=\"inactive\"},D.prototype._addDragHandler=function(q){this._element.contains(q.originalEvent.target)&&(q.preventDefault(),this._positionDelta=q.point.sub(this._pos).add(this._offset),this._pointerdownPos=q.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))},D.prototype.setDraggable=function(q){return this._draggable=!!q,this._map&&(q?(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},D.prototype.isDraggable=function(){return this._draggable},D.prototype.setRotation=function(q){return this._rotation=q||0,this._update(),this},D.prototype.getRotation=function(){return this._rotation},D.prototype.setRotationAlignment=function(q){return this._rotationAlignment=q||\"auto\",this._update(),this},D.prototype.getRotationAlignment=function(){return this._rotationAlignment},D.prototype.setPitchAlignment=function(q){return this._pitchAlignment=q&&q!==\"auto\"?q:this._rotationAlignment,this._update(),this},D.prototype.getPitchAlignment=function(){return this._pitchAlignment},D}(i.Evented),Ln={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0},ra;function oa(Y){ra!==void 0?Y(ra):i.window.navigator.permissions!==void 0?i.window.navigator.permissions.query({name:\"geolocation\"}).then(function(D){ra=D.state!==\"denied\",Y(ra)}):(ra=!!i.window.navigator.geolocation,Y(ra))}var wa=0,ns=!1,Ys=function(Y){function D(J){Y.call(this),this.options=i.extend({},Ln,J),i.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.onAdd=function(q){return this._map=q,this._container=o.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),oa(this._setupUI),this._container},D.prototype.onRemove=function(){this._geolocationWatchID!==void 0&&(i.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,wa=0,ns=!1},D.prototype._isOutOfMapMaxBounds=function(q){var K=this._map.getMaxBounds(),de=q.coords;return K&&(de.longitude<K.getWest()||de.longitude>K.getEast()||de.latitude<K.getSouth()||de.latitude>K.getNorth())},D.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\");break}},D.prototype._onSuccess=function(q){if(this._map){if(this._isOutOfMapMaxBounds(q)){this._setErrorState(),this.fire(new i.Event(\"outofmaxbounds\",q)),this._updateMarker(),this._finish();return}if(this.options.trackUserLocation)switch(this._lastKnownPosition=q,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\");break}this.options.showUserLocation&&this._watchState!==\"OFF\"&&this._updateMarker(q),(!this.options.trackUserLocation||this._watchState===\"ACTIVE_LOCK\")&&this._updateCamera(q),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new i.Event(\"geolocate\",q)),this._finish()}},D.prototype._updateCamera=function(q){var K=new i.LngLat(q.coords.longitude,q.coords.latitude),de=q.coords.accuracy,ne=this._map.getBearing(),we=i.extend({bearing:ne},this.options.fitBoundsOptions);this._map.fitBounds(K.toBounds(de),we,{geolocateSource:!0})},D.prototype._updateMarker=function(q){if(q){var K=new i.LngLat(q.coords.longitude,q.coords.latitude);this._accuracyCircleMarker.setLngLat(K).addTo(this._map),this._userLocationDotMarker.setLngLat(K).addTo(this._map),this._accuracy=q.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},D.prototype._updateCircleRadius=function(){var q=this._map._container.clientHeight/2,K=this._map.unproject([0,q]),de=this._map.unproject([1,q]),ne=K.distanceTo(de),we=Math.ceil(2*this._accuracy/ne);this._circleElement.style.width=we+\"px\",this._circleElement.style.height=we+\"px\"},D.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},D.prototype._onError=function(q){if(this._map){if(this.options.trackUserLocation)if(q.code===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._geolocateButton.disabled=!0;var K=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=K,this._geolocateButton.setAttribute(\"aria-label\",K),this._geolocationWatchID!==void 0&&this._clearWatch()}else{if(q.code===3&&ns)return;this._setErrorState()}this._watchState!==\"OFF\"&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new i.Event(\"error\",q)),this._finish()}},D.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},D.prototype._setupUI=function(q){var K=this;if(this._container.addEventListener(\"contextmenu\",function(we){return we.preventDefault()}),this._geolocateButton=o.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),o.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",q===!1){i.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var de=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=de,this._geolocateButton.setAttribute(\"aria-label\",de)}else{var ne=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=ne,this._geolocateButton.setAttribute(\"aria-label\",ne)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=o.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Yi(this._dotElement),this._circleElement=o.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Yi({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(we){var Ue=we.originalEvent&&we.originalEvent.type===\"resize\";!we.geolocateSource&&K._watchState===\"ACTIVE_LOCK\"&&!Ue&&(K._watchState=\"BACKGROUND\",K._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),K._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),K.fire(new i.Event(\"trackuserlocationend\")))})},D.prototype.trigger=function(){if(!this._setup)return i.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 i.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":wa--,ns=!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 i.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 i.Event(\"trackuserlocationstart\"));break}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\");break}if(this._watchState===\"OFF\"&&this._geolocationWatchID!==void 0)this._clearWatch();else if(this._geolocationWatchID===void 0){this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),wa++;var q;wa>1?(q={maximumAge:6e5,timeout:0},ns=!0):(q=this.options.positionOptions,ns=!1),this._geolocationWatchID=i.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,q)}}else i.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},D.prototype._clearWatch=function(){i.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)},D}(i.Evented),Va={maxWidth:100,unit:\"metric\"},Ml=function(D){this.options=i.extend({},Va,D),i.bindAll([\"_onMove\",\"setUnit\"],this)};Ml.prototype.getDefaultPosition=function(){return\"bottom-left\"},Ml.prototype._onMove=function(){zo(this._map,this._container,this.options)},Ml.prototype.onAdd=function(D){return this._map=D,this._container=o.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",D.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Ml.prototype.onRemove=function(){o.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Ml.prototype.setUnit=function(D){this.options.unit=D,zo(this._map,this._container,this.options)};function zo(Y,D,J){var q=J&&J.maxWidth||100,K=Y._container.clientHeight/2,de=Y.unproject([0,K]),ne=Y.unproject([q,K]),we=de.distanceTo(ne);if(J&&J.unit===\"imperial\"){var Ue=3.2808*we;if(Ue>5280){var ft=Ue/5280;el(D,q,ft,Y._getUIString(\"ScaleControl.Miles\"))}else el(D,q,Ue,Y._getUIString(\"ScaleControl.Feet\"))}else if(J&&J.unit===\"nautical\"){var Zt=we/1852;el(D,q,Zt,Y._getUIString(\"ScaleControl.NauticalMiles\"))}else we>=1e3?el(D,q,we/1e3,Y._getUIString(\"ScaleControl.Kilometers\")):el(D,q,we,Y._getUIString(\"ScaleControl.Meters\"))}function el(Y,D,J,q){var K=Ul(J),de=K/J;Y.style.width=D*de+\"px\",Y.innerHTML=K+\"&nbsp;\"+q}function ol(Y){var D=Math.pow(10,Math.ceil(-Math.log(Y)/Math.LN10));return Math.round(Y*D)/D}function Ul(Y){var D=Math.pow(10,(\"\"+Math.floor(Y)).length-1),J=Y/D;return J=J>=10?10:J>=5?5:J>=3?3:J>=2?2:J>=1?1:ol(J),D*J}var ls=function(D){this._fullscreen=!1,D&&D.container&&(D.container instanceof i.window.HTMLElement?this._container=D.container:i.warnOnce(\"Full screen control 'container' must be a DOM element.\")),i.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in i.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in i.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in i.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in i.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};ls.prototype.onAdd=function(D){return this._map=D,this._container||(this._container=this._map.getContainer()),this._controlContainer=o.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",i.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},ls.prototype.onRemove=function(){o.remove(this._controlContainer),this._map=null,i.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},ls.prototype._checkFullscreenSupport=function(){return!!(i.window.document.fullscreenEnabled||i.window.document.mozFullScreenEnabled||i.window.document.msFullscreenEnabled||i.window.document.webkitFullscreenEnabled)},ls.prototype._setupUI=function(){var D=this._fullscreenButton=o.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);o.create(\"span\",\"mapboxgl-ctrl-icon\",D).setAttribute(\"aria-hidden\",!0),D.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),i.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},ls.prototype._updateTitle=function(){var D=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",D),this._fullscreenButton.title=D},ls.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},ls.prototype._isFullscreen=function(){return this._fullscreen},ls.prototype._changeIcon=function(){var D=i.window.document.fullscreenElement||i.window.document.mozFullScreenElement||i.window.document.webkitFullscreenElement||i.window.document.msFullscreenElement;D===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},ls.prototype._onClickFullscreen=function(){this._isFullscreen()?i.window.document.exitFullscreen?i.window.document.exitFullscreen():i.window.document.mozCancelFullScreen?i.window.document.mozCancelFullScreen():i.window.document.msExitFullscreen?i.window.document.msExitFullscreen():i.window.document.webkitCancelFullScreen&&i.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 Gs={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\"},Ks=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \"),Ta=function(Y){function D(J){Y.call(this),this.options=i.extend(Object.create(Gs),J),i.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.addTo=function(q){return this._map&&this.remove(),this._map=q,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 i.Event(\"open\")),this},D.prototype.isOpen=function(){return!!this._map},D.prototype.remove=function(){return 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),delete this._map),this.fire(new i.Event(\"close\")),this},D.prototype.getLngLat=function(){return this._lngLat},D.prototype.setLngLat=function(q){return this._lngLat=i.LngLat.convert(q),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},D.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},D.prototype.getElement=function(){return this._container},D.prototype.setText=function(q){return this.setDOMContent(i.window.document.createTextNode(q))},D.prototype.setHTML=function(q){var K=i.window.document.createDocumentFragment(),de=i.window.document.createElement(\"body\"),ne;for(de.innerHTML=q;ne=de.firstChild,!!ne;)K.appendChild(ne);return this.setDOMContent(K)},D.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},D.prototype.setMaxWidth=function(q){return this.options.maxWidth=q,this._update(),this},D.prototype.setDOMContent=function(q){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=o.create(\"div\",\"mapboxgl-popup-content\",this._container);return this._content.appendChild(q),this._createCloseButton(),this._update(),this._focusFirstElement(),this},D.prototype.addClassName=function(q){this._container&&this._container.classList.add(q)},D.prototype.removeClassName=function(q){this._container&&this._container.classList.remove(q)},D.prototype.setOffset=function(q){return this.options.offset=q,this._update(),this},D.prototype.toggleClassName=function(q){if(this._container)return this._container.classList.toggle(q)},D.prototype._createCloseButton=function(){this.options.closeButton&&(this._closeButton=o.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))},D.prototype._onMouseUp=function(q){this._update(q.point)},D.prototype._onMouseMove=function(q){this._update(q.point)},D.prototype._onDrag=function(q){this._update(q.point)},D.prototype._update=function(q){var K=this,de=this._lngLat||this._trackPointer;if(!(!this._map||!de||!this._content)&&(this._container||(this._container=o.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=o.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach(function(Ve){return K._container.classList.add(Ve)}),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=vn(this._lngLat,this._pos,this._map.transform)),!(this._trackPointer&&!q))){var ne=this._pos=this._trackPointer&&q?q:this._map.project(this._lngLat),we=this.options.anchor,Ue=sl(this.options.offset);if(!we){var ft=this._container.offsetWidth,Zt=this._container.offsetHeight,hr;ne.y+Ue.bottom.y<Zt?hr=[\"top\"]:ne.y>this._map.transform.height-Zt?hr=[\"bottom\"]:hr=[],ne.x<ft/2?hr.push(\"left\"):ne.x>this._map.transform.width-ft/2&&hr.push(\"right\"),hr.length===0?we=\"bottom\":we=hr.join(\"-\")}var qt=ne.add(Ue[we]).round();o.setTransform(this._container,Un[we]+\" translate(\"+qt.x+\"px,\"+qt.y+\"px)\"),na(this._container,we,\"popup\")}},D.prototype._focusFirstElement=function(){if(!(!this.options.focusAfterOpen||!this._container)){var q=this._container.querySelector(Ks);q&&q.focus()}},D.prototype._onClose=function(){this.remove()},D}(i.Evented);function sl(Y){if(Y)if(typeof Y==\"number\"){var D=Math.round(Math.sqrt(.5*Math.pow(Y,2)));return{center:new i.Point(0,0),top:new i.Point(0,Y),\"top-left\":new i.Point(D,D),\"top-right\":new i.Point(-D,D),bottom:new i.Point(0,-Y),\"bottom-left\":new i.Point(D,-D),\"bottom-right\":new i.Point(-D,-D),left:new i.Point(Y,0),right:new i.Point(-Y,0)}}else if(Y instanceof i.Point||Array.isArray(Y)){var J=i.Point.convert(Y);return{center:J,top:J,\"top-left\":J,\"top-right\":J,bottom:J,\"bottom-left\":J,\"bottom-right\":J,left:J,right:J}}else return{center:i.Point.convert(Y.center||[0,0]),top:i.Point.convert(Y.top||[0,0]),\"top-left\":i.Point.convert(Y[\"top-left\"]||[0,0]),\"top-right\":i.Point.convert(Y[\"top-right\"]||[0,0]),bottom:i.Point.convert(Y.bottom||[0,0]),\"bottom-left\":i.Point.convert(Y[\"bottom-left\"]||[0,0]),\"bottom-right\":i.Point.convert(Y[\"bottom-right\"]||[0,0]),left:i.Point.convert(Y.left||[0,0]),right:i.Point.convert(Y.right||[0,0])};else return sl(new i.Point(0,0))}var io={version:i.version,supported:a,setRTLTextPlugin:i.setRTLTextPlugin,getRTLTextPluginStatus:i.getRTLTextPluginStatus,Map:li,NavigationControl:Ui,GeolocateControl:Ys,AttributionControl:Qi,ScaleControl:Ml,FullscreenControl:ls,Popup:Ta,Marker:Yi,Style:yu,LngLat:i.LngLat,LngLatBounds:i.LngLatBounds,Point:i.Point,MercatorCoordinate:i.MercatorCoordinate,Evented:i.Evented,config:i.config,prewarm:la,clearPrewarmedResources:ma,get accessToken(){return i.config.ACCESS_TOKEN},set accessToken(Y){i.config.ACCESS_TOKEN=Y},get baseApiUrl(){return i.config.API_URL},set baseApiUrl(Y){i.config.API_URL=Y},get workerCount(){return cn.workerCount},set workerCount(Y){cn.workerCount=Y},get maxParallelImageRequests(){return i.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(Y){i.config.MAX_PARALLEL_IMAGE_REQUESTS=Y},clearStorage:function(D){i.clearTileCache(D)},workerUrl:\"\"};return io}),r})});var ZVe=ye((A_r,XVe)=>{\"use strict\";var tw=Dr(),KHt=iu().sanitizeHTML,JHt=tJ(),HVe=c1();function jVe(e,t){this.subplot=e,this.uid=e.uid+\"-\"+t,this.index=t,this.idSource=\"source-\"+this.uid,this.idLayer=HVe.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var ig=jVe.prototype;ig.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=Zz(t)};ig.needsNewImage=function(e){var t=this.subplot.map;return t.getSource(this.idSource)&&this.sourceType===\"image\"&&e.sourcetype===\"image\"&&(this.source!==e.source||JSON.stringify(this.coordinates)!==JSON.stringify(e.coordinates))};ig.needsNewSource=function(e){return this.sourceType!==e.sourcetype||JSON.stringify(this.source)!==JSON.stringify(e.source)||this.layerType!==e.type};ig.needsNewLayer=function(e){return this.layerType!==e.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]};ig.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]};ig.updateImage=function(e){var t=this.subplot.map;t.getSource(this.idSource).updateImage({url:e.source,coordinates:e.coordinates});var r=this.findFollowingMapboxLayerId(this.lookupBelow());r!==null&&this.subplot.map.moveLayer(this.idLayer,r)};ig.updateSource=function(e){var t=this.subplot.map;if(t.getSource(this.idSource)&&t.removeSource(this.idSource),this.sourceType=e.sourcetype,this.source=e.source,!!Zz(e)){var r=$Ht(e);t.addSource(this.idSource,r)}};ig.findFollowingMapboxLayerId=function(e){if(e===\"traces\")for(var t=this.subplot.getMapLayers(),r=0;r<t.length;r++){var n=t[r].id;if(typeof n==\"string\"&&n.indexOf(HVe.traceLayerPrefix)===0){e=n;break}}return e};ig.updateLayer=function(e){var t=this.subplot,r=WVe(e),n=this.lookupBelow(),i=this.findFollowingMapboxLayerId(n);this.removeLayer(),Zz(e)&&t.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":e.sourcelayer||\"\",type:e.type,minzoom:e.minzoom,maxzoom:e.maxzoom,layout:r.layout,paint:r.paint},i),this.layerType=e.type,this.below=n};ig.updateStyle=function(e){if(Zz(e)){var t=WVe(e);this.subplot.setOptions(this.idLayer,\"setLayoutProperty\",t.layout),this.subplot.setOptions(this.idLayer,\"setPaintProperty\",t.paint)}};ig.removeLayer=function(){var e=this.subplot.map;e.getLayer(this.idLayer)&&e.removeLayer(this.idLayer)};ig.dispose=function(){var e=this.subplot.map;e.getLayer(this.idLayer)&&e.removeLayer(this.idLayer),e.getSource(this.idSource)&&e.removeSource(this.idSource)};function Zz(e){if(!e.visible)return!1;var t=e.source;if(Array.isArray(t)&&t.length>0){for(var r=0;r<t.length;r++)if(typeof t[r]!=\"string\"||t[r].length===0)return!1;return!0}return tw.isPlainObject(t)||typeof t==\"string\"&&t.length>0}function WVe(e){var t={},r={};switch(e.type){case\"circle\":tw.extendFlat(r,{\"circle-radius\":e.circle.radius,\"circle-color\":e.color,\"circle-opacity\":e.opacity});break;case\"line\":tw.extendFlat(r,{\"line-width\":e.line.width,\"line-color\":e.color,\"line-opacity\":e.opacity,\"line-dasharray\":e.line.dash});break;case\"fill\":tw.extendFlat(r,{\"fill-color\":e.color,\"fill-outline-color\":e.fill.outlinecolor,\"fill-opacity\":e.opacity});break;case\"symbol\":var n=e.symbol,i=JHt(n.textposition,n.iconsize);tw.extendFlat(t,{\"icon-image\":n.icon+\"-15\",\"icon-size\":n.iconsize/10,\"text-field\":n.text,\"text-size\":n.textfont.size,\"text-anchor\":i.anchor,\"text-offset\":i.offset,\"symbol-placement\":n.placement}),tw.extendFlat(r,{\"icon-color\":e.color,\"text-color\":n.textfont.color,\"text-opacity\":e.opacity});break;case\"raster\":tw.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":e.opacity});break}return{layout:t,paint:r}}function $Ht(e){var t=e.sourcetype,r=e.source,n={type:t},i;return t===\"geojson\"?i=\"data\":t===\"vector\"?i=typeof r==\"string\"?\"url\":\"tiles\":t===\"raster\"?(i=\"tiles\",n.tileSize=256):t===\"image\"&&(i=\"url\",n.coordinates=e.coordinates),n[i]=r,e.sourceattribution&&(n.attribution=KHt(e.sourceattribution)),n}XVe.exports=function(t,r,n){var i=new jVe(t,r);return i.update(n),i}});var iGe=ye((S_r,rGe)=>{\"use strict\";var lJ=sJ(),uJ=Dr(),$Ve=nx(),YVe=qa(),QHt=ho(),ejt=gv(),Yz=vf(),QVe=Sg(),tjt=QVe.drawMode,rjt=QVe.selectMode,ijt=zf().prepSelect,njt=zf().clearOutline,ajt=zf().clearSelectionsCache,ojt=zf().selectOnClick,_x=c1(),sjt=ZVe();function eGe(e,t){this.id=t,this.gd=e;var r=e._fullLayout,n=e._context;this.container=r._glcontainer.node(),this.isStatic=n.staticPlot,this.uid=r._uid+\"-\"+this.id,this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(r),this.map=null,this.accessToken=null,this.styleObj=null,this.traceHash={},this.layerList=[],this.belowLookup={},this.dragging=!1,this.wheeling=!1}var qh=eGe.prototype;qh.plot=function(e,t,r){var n=this,i=t[n.id];n.map&&i.accesstoken!==n.accessToken&&(n.map.remove(),n.map=null,n.styleObj=null,n.traceHash={},n.layerList=[]);var a;n.map?a=new Promise(function(o,s){n.updateMap(e,t,o,s)}):a=new Promise(function(o,s){n.createMap(e,t,o,s)}),r.push(a)};qh.createMap=function(e,t,r,n){var i=this,a=t[i.id],o=i.styleObj=tGe(a.style,t);i.accessToken=a.accesstoken;var s=a.bounds,l=s?[[s.west,s.south],[s.east,s.north]]:null,u=i.map=new lJ.Map({container:i.div,style:o.style,center:cJ(a.center),zoom:a.zoom,bearing:a.bearing,pitch:a.pitch,maxBounds:l,interactive:!i.isStatic,preserveDrawingBuffer:i.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new lJ.AttributionControl({compact:!0}));u._canvas.style.left=\"0px\",u._canvas.style.top=\"0px\",i.rejectOnError(n),i.isStatic||i.initFx(e,t);var c=[];c.push(new Promise(function(f){u.once(\"load\",f)})),c=c.concat($Ve.fetchTraceGeoData(e)),Promise.all(c).then(function(){i.fillBelowLookup(e,t),i.updateData(e),i.updateLayout(t),i.resolveOnRender(r)}).catch(n)};qh.updateMap=function(e,t,r,n){var i=this,a=i.map,o=t[this.id];i.rejectOnError(n);var s=[],l=tGe(o.style,t);JSON.stringify(i.styleObj)!==JSON.stringify(l)&&(i.styleObj=l,a.setStyle(l.style),i.traceHash={},s.push(new Promise(function(u){a.once(\"styledata\",u)}))),s=s.concat($Ve.fetchTraceGeoData(e)),Promise.all(s).then(function(){i.fillBelowLookup(e,t),i.updateData(e),i.updateLayout(t),i.resolveOnRender(r)}).catch(n)};qh.fillBelowLookup=function(e,t){var r=t[this.id],n=r.layers,i,a,o=this.belowLookup={},s=!1;for(i=0;i<e.length;i++){var l=e[i][0].trace,u=l._module;typeof l.below==\"string\"?a=l.below:u.getBelow&&(a=u.getBelow(l,this)),a===\"\"&&(s=!0),o[\"trace-\"+l.uid]=a||\"\"}for(i=0;i<n.length;i++){var c=n[i];typeof c.below==\"string\"?a=c.below:s?a=\"traces\":a=\"\",o[\"layout-\"+i]=a}var f={},h,d;for(h in o)a=o[h],f[a]?f[a].push(h):f[a]=[h];for(a in f){var v=f[a];if(v.length>1)for(i=0;i<v.length;i++)h=v[i],h.indexOf(\"trace-\")===0?(d=h.split(\"trace-\")[1],this.traceHash[d]&&(this.traceHash[d].below=null)):h.indexOf(\"layout-\")===0&&(d=h.split(\"layout-\")[1],this.layerList[d]&&(this.layerList[d].below=null))}};var KVe={choroplethmapbox:0,densitymapbox:1,scattermapbox:2};qh.updateData=function(e){var t=this.traceHash,r,n,i,a,o=e.slice().sort(function(f,h){return KVe[f[0].trace.type]-KVe[h[0].trace.type]});for(i=0;i<o.length;i++){var s=o[i];n=s[0].trace,r=t[n.uid];var l=!1;r&&(r.type===n.type?(r.update(s),l=!0):r.dispose()),!l&&n._module&&(t[n.uid]=n._module.plot(this,s))}var u=Object.keys(t);e:for(i=0;i<u.length;i++){var c=u[i];for(a=0;a<e.length;a++)if(n=e[a][0].trace,c===n.uid)continue e;r=t[c],r.dispose(),delete t[c]}};qh.updateLayout=function(e){var t=this.map,r=e[this.id];!this.dragging&&!this.wheeling&&(t.setCenter(cJ(r.center)),t.setZoom(r.zoom),t.setBearing(r.bearing),t.setPitch(r.pitch)),this.updateLayers(e),this.updateFramework(e),this.updateFx(e),this.map.resize(),this.gd._context._scrollZoom.mapbox?t.scrollZoom.enable():t.scrollZoom.disable()};qh.resolveOnRender=function(e){var t=this.map;t.on(\"render\",function r(){t.loaded()&&(t.off(\"render\",r),setTimeout(e,10))})};qh.rejectOnError=function(e){var t=this.map;function r(){e(new Error(_x.mapOnErrorMsg))}t.once(\"error\",r),t.once(\"style.error\",r),t.once(\"source.error\",r),t.once(\"tile.error\",r),t.once(\"layer.error\",r)};qh.createFramework=function(e){var t=this,r=t.div=document.createElement(\"div\");r.id=t.uid,r.style.position=\"absolute\",t.container.appendChild(r),t.xaxis={_id:\"x\",c2p:function(n){return t.project(n).x}},t.yaxis={_id:\"y\",c2p:function(n){return t.project(n).y}},t.updateFramework(e),t.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},QHt.setConvert(t.mockAxis,e)};qh.initFx=function(e,t){var r=this,n=r.gd,i=r.map;i.on(\"moveend\",function(s){if(r.map){var l=n._fullLayout;if(s.originalEvent||r.wheeling){var u=l[r.id];YVe.call(\"_storeDirectGUIEdit\",n.layout,l._preGUI,r.getViewEdits(u));var c=r.getView();u._input.center=u.center=c.center,u._input.zoom=u.zoom=c.zoom,u._input.bearing=u.bearing=c.bearing,u._input.pitch=u.pitch=c.pitch,n.emit(\"plotly_relayout\",r.getViewEditsWithDerived(c))}s.originalEvent&&s.originalEvent.type===\"mouseup\"?r.dragging=!1:r.wheeling&&(r.wheeling=!1),l._rehover&&l._rehover()}}),i.on(\"wheel\",function(){r.wheeling=!0}),i.on(\"mousemove\",function(s){var l=r.div.getBoundingClientRect(),u=[s.originalEvent.offsetX,s.originalEvent.offsetY];s.target.getBoundingClientRect=function(){return l},r.xaxis.p2c=function(){return i.unproject(u).lng},r.yaxis.p2c=function(){return i.unproject(u).lat},n._fullLayout._rehover=function(){n._fullLayout._hoversubplot===r.id&&n._fullLayout[r.id]&&Yz.hover(n,s,r.id)},Yz.hover(n,s,r.id),n._fullLayout._hoversubplot=r.id});function a(){Yz.loneUnhover(t._hoverlayer)}i.on(\"dragstart\",function(){r.dragging=!0,a()}),i.on(\"zoomstart\",a),i.on(\"mouseout\",function(){n._fullLayout._hoversubplot=null});function o(){var s=r.getView();n.emit(\"plotly_relayouting\",r.getViewEditsWithDerived(s))}i.on(\"drag\",o),i.on(\"zoom\",o),i.on(\"dblclick\",function(){var s=n._fullLayout[r.id];YVe.call(\"_storeDirectGUIEdit\",n.layout,n._fullLayout._preGUI,r.getViewEdits(s));var l=r.viewInitial;i.setCenter(cJ(l.center)),i.setZoom(l.zoom),i.setBearing(l.bearing),i.setPitch(l.pitch);var u=r.getView();s._input.center=s.center=u.center,s._input.zoom=s.zoom=u.zoom,s._input.bearing=s.bearing=u.bearing,s._input.pitch=s.pitch=u.pitch,n.emit(\"plotly_doubleclick\",null),n.emit(\"plotly_relayout\",r.getViewEditsWithDerived(u))}),r.clearOutline=function(){ajt(r.dragOptions),njt(r.dragOptions.gd)},r.onClickInPanFn=function(s){return function(l){var u=n._fullLayout.clickmode;u.indexOf(\"select\")>-1&&ojt(l.originalEvent,n,[r.xaxis],[r.yaxis],r.id,s),u.indexOf(\"event\")>-1&&Yz.click(n,l.originalEvent)}}};qh.updateFx=function(e){var t=this,r=t.map,n=t.gd;if(t.isStatic)return;function i(l){var u=t.map.unproject(l);return[u.lng,u.lat]}var a=e.dragmode,o;o=function(l,u){if(u.isRect){var c=l.range={};c[t.id]=[i([u.xmin,u.ymin]),i([u.xmax,u.ymax])]}else{var f=l.lassoPoints={};f[t.id]=u.map(i)}};var s=t.dragOptions;t.dragOptions=uJ.extendDeep(s||{},{dragmode:e.dragmode,element:t.div,gd:n,plotinfo:{id:t.id,domain:e[t.id].domain,xaxis:t.xaxis,yaxis:t.yaxis,fillRangeItems:o},xaxes:[t.xaxis],yaxes:[t.yaxis],subplot:t.id}),r.off(\"click\",t.onClickInPanHandler),rjt(a)||tjt(a)?(r.dragPan.disable(),r.on(\"zoomstart\",t.clearOutline),t.dragOptions.prepFn=function(l,u,c){ijt(l,u,c,t.dragOptions,a)},ejt.init(t.dragOptions)):(r.dragPan.enable(),r.off(\"zoomstart\",t.clearOutline),t.div.onmousedown=null,t.div.ontouchstart=null,t.div.removeEventListener(\"touchstart\",t.div._ontouchstart),t.onClickInPanHandler=t.onClickInPanFn(t.dragOptions),r.on(\"click\",t.onClickInPanHandler))};qh.updateFramework=function(e){var t=e[this.id].domain,r=e._size,n=this.div.style;n.width=r.w*(t.x[1]-t.x[0])+\"px\",n.height=r.h*(t.y[1]-t.y[0])+\"px\",n.left=r.l+t.x[0]*r.w+\"px\",n.top=r.t+(1-t.y[1])*r.h+\"px\",this.xaxis._offset=r.l+t.x[0]*r.w,this.xaxis._length=r.w*(t.x[1]-t.x[0]),this.yaxis._offset=r.t+(1-t.y[1])*r.h,this.yaxis._length=r.h*(t.y[1]-t.y[0])};qh.updateLayers=function(e){var t=e[this.id],r=t.layers,n=this.layerList,i;if(r.length!==n.length){for(i=0;i<n.length;i++)n[i].dispose();for(n=this.layerList=[],i=0;i<r.length;i++)n.push(sjt(this,i,r[i]))}else for(i=0;i<r.length;i++)n[i].update(r[i])};qh.destroy=function(){this.map&&(this.map.remove(),this.map=null,this.container.removeChild(this.div))};qh.toImage=function(){return this.map.stop(),this.map.getCanvas().toDataURL()};qh.setOptions=function(e,t,r){for(var n in r)this.map[t](e,n,r[n])};qh.getMapLayers=function(){return this.map.getStyle().layers};qh.addLayer=function(e,t){var r=this.map;if(typeof t==\"string\"){if(t===\"\"){r.addLayer(e,t);return}for(var n=this.getMapLayers(),i=0;i<n.length;i++)if(t===n[i].id){r.addLayer(e,t);return}uJ.warn([\"Trying to add layer with *below* value\",t,\"referencing a layer that does not exist\",\"or that does not yet exist.\"].join(\" \"))}r.addLayer(e)};qh.project=function(e){return this.map.project(new lJ.LngLat(e[0],e[1]))};qh.getView=function(){var e=this.map,t=e.getCenter(),r=t.lng,n=t.lat,i={lon:r,lat:n},a=e.getCanvas(),o=parseInt(a.style.width),s=parseInt(a.style.height);return{center:i,zoom:e.getZoom(),bearing:e.getBearing(),pitch:e.getPitch(),_derived:{coordinates:[e.unproject([0,0]).toArray(),e.unproject([o,0]).toArray(),e.unproject([o,s]).toArray(),e.unproject([0,s]).toArray()]}}};qh.getViewEdits=function(e){for(var t=this.id,r=[\"center\",\"zoom\",\"bearing\",\"pitch\"],n={},i=0;i<r.length;i++){var a=r[i];n[t+\".\"+a]=e[a]}return n};qh.getViewEditsWithDerived=function(e){var t=this.id,r=this.getViewEdits(e);return r[t+\"._derived\"]=e._derived,r};function tGe(e,t){var r={};if(uJ.isPlainObject(e))r.id=e.id,r.style=e;else if(typeof e==\"string\")if(r.id=e,_x.styleValuesMapbox.indexOf(e)!==-1)r.style=JVe(e);else if(_x.stylesNonMapbox[e]){r.style=_x.stylesNonMapbox[e];var n=r.style.sources[\"plotly-\"+e],i=n?n.tiles:void 0;i&&i[0]&&i[0].slice(-9)===\"?api_key=\"&&(i[0]+=t._mapboxAccessToken)}else r.style=e;else r.id=_x.styleValueDflt,r.style=JVe(_x.styleValueDflt);return r.transition={duration:0,delay:0},r}function JVe(e){return _x.styleUrlPrefix+e+\"-\"+_x.styleUrlSuffix}function cJ(e){return[e.lon,e.lat]}rGe.exports=eGe});var oGe=ye((M_r,aGe)=>{\"use strict\";var fJ=Dr(),ljt=k_(),ujt=Yd(),nGe=BC();aGe.exports=function(t,r,n){ljt(t,r,n,{type:\"mapbox\",attributes:nGe,handleDefaults:cjt,partition:\"y\",accessToken:r._mapboxAccessToken})};function cjt(e,t,r,n){r(\"accesstoken\",n.accessToken),r(\"style\"),r(\"center.lon\"),r(\"center.lat\"),r(\"zoom\"),r(\"bearing\"),r(\"pitch\");var i=r(\"bounds.west\"),a=r(\"bounds.east\"),o=r(\"bounds.south\"),s=r(\"bounds.north\");(i===void 0||a===void 0||o===void 0||s===void 0)&&delete t.bounds,ujt(e,t,{name:\"layers\",handleItemDefaults:fjt}),t._input=e}function fjt(e,t){function r(l,u){return fJ.coerce(e,t,nGe.layers,l,u)}var n=r(\"visible\");if(n){var i=r(\"sourcetype\"),a=i===\"raster\"||i===\"image\";r(\"source\"),r(\"sourceattribution\"),i===\"vector\"&&r(\"sourcelayer\"),i===\"image\"&&r(\"coordinates\");var o;a&&(o=\"raster\");var s=r(\"type\",o);a&&s!==\"raster\"&&(s=t.type=\"raster\",fJ.log(\"Source types *raster* and *image* must drawn *raster* layer type.\")),r(\"below\"),r(\"color\"),r(\"opacity\"),r(\"minzoom\"),r(\"maxzoom\"),s===\"circle\"&&r(\"circle.radius\"),s===\"line\"&&(r(\"line.width\"),r(\"line.dash\")),s===\"fill\"&&r(\"fill.outlinecolor\"),s===\"symbol\"&&(r(\"symbol.icon\"),r(\"symbol.iconsize\"),r(\"symbol.text\"),fJ.coerceFont(r,\"symbol.textfont\",void 0,{noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0}),r(\"symbol.textposition\"),r(\"symbol.placement\"))}}});var Kz=ye(Bp=>{\"use strict\";var sGe=sJ(),tm=Dr(),hJ=tm.strTranslate,hjt=tm.strScale,djt=Id().getSubplotCalcData,vjt=Wp(),pjt=Oa(),lGe=So(),gjt=iu(),mjt=iGe(),xx=\"mapbox\",Qm=Bp.constants=c1();Bp.name=xx;Bp.attr=\"subplot\";Bp.idRoot=xx;Bp.idRegex=Bp.attrRegex=tm.counterRegex(xx);var yjt=[\"mapbox subplots and traces are deprecated!\",\"Please consider switching to `map` subplots and traces.\",\"Learn more at: https://plotly.com/python/maplibre-migration/\",\"as well as https://plotly.com/javascript/maplibre-migration/\"].join(\" \");Bp.attributes={subplot:{valType:\"subplotid\",dflt:\"mapbox\",editType:\"calc\"}};Bp.layoutAttributes=BC();Bp.supplyLayoutDefaults=oGe();var uGe=!0;Bp.plot=function(t){uGe&&(uGe=!1,tm.warn(yjt));var r=t._fullLayout,n=t.calcdata,i=r._subplots[xx];if(sGe.version!==Qm.requiredVersion)throw new Error(Qm.wrongVersionErrorMsg);var a=_jt(t,i);sGe.accessToken=a;for(var o=0;o<i.length;o++){var s=i[o],l=djt(n,xx,s),u=r[s],c=u._subplot;c||(c=new mjt(t,s),r[s]._subplot=c),c.viewInitial||(c.viewInitial={center:tm.extendFlat({},u.center),zoom:u.zoom,bearing:u.bearing,pitch:u.pitch}),c.plot(l,r,t._promises)}};Bp.clean=function(e,t,r,n){for(var i=n._subplots[xx]||[],a=0;a<i.length;a++){var o=i[a];!t[o]&&n[o]._subplot&&n[o]._subplot.destroy()}};Bp.toSVG=function(e){for(var t=e._fullLayout,r=t._subplots[xx],n=t._size,i=0;i<r.length;i++){var a=t[r[i]],o=a.domain,s=a._subplot,l=s.toImage(\"png\"),u=t._glimages.append(\"svg:image\");u.attr({xmlns:vjt.svg,\"xlink:href\":l,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\"});var c=pjt.select(a._subplot.div),f=c.select(\".mapboxgl-ctrl-logo\").node().offsetParent===null;if(!f){var h=t._glimages.append(\"g\");h.attr(\"transform\",hJ(n.l+n.w*o.x[0]+10,n.t+n.h*(1-o.y[0])-31)),h.append(\"path\").attr(\"d\",Qm.mapboxLogo.path0).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"}),h.append(\"path\").attr(\"d\",Qm.mapboxLogo.path1).style(\"opacity\",.35).style(\"enable-background\",\"new\"),h.append(\"path\").attr(\"d\",Qm.mapboxLogo.path2).style(\"opacity\",.35).style(\"enable-background\",\"new\"),h.append(\"polygon\").attr(\"points\",Qm.mapboxLogo.polygon).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"})}var d=c.select(\".mapboxgl-ctrl-attrib\").text().replace(\"Improve this map\",\"\"),v=t._glimages.append(\"g\"),x=v.append(\"text\");x.text(d).classed(\"static-attribution\",!0).attr({\"font-size\":12,\"font-family\":\"Arial\",color:\"rgba(0, 0, 0, 0.75)\",\"text-anchor\":\"end\",\"data-unformatted\":d});var b=lGe.bBox(x.node()),p=n.w*(o.x[1]-o.x[0]);if(b.width>p/2){var C=d.split(\"|\").join(\"<br>\");x.text(C).attr(\"data-unformatted\",C).call(gjt.convertToTspans,e),b=lGe.bBox(x.node())}x.attr(\"transform\",hJ(-3,-b.height+8)),v.insert(\"rect\",\".static-attribution\").attr({x:-b.width-6,y:-b.height-3,width:b.width+6,height:b.height+3,fill:\"rgba(255, 255, 255, 0.75)\"});var E=1;b.width+6>p&&(E=p/(b.width+6));var A=[n.l+n.w*o.x[1],n.t+n.h*(1-o.y[0])];v.attr(\"transform\",hJ(A[0],A[1])+hjt(E))}};function _jt(e,t){var r=e._fullLayout,n=e._context;if(n.mapboxAccessToken===\"\")return\"\";for(var i=[],a=[],o=!1,s=!1,l=0;l<t.length;l++){var u=r[t[l]],c=u.accesstoken;cGe(u.style)&&(c?tm.pushUnique(i,c):(cGe(u._input.style)&&(tm.error(\"Uses Mapbox map style, but did not set an access token.\"),o=!0),s=!0)),c&&tm.pushUnique(a,c)}if(s){var f=o?Qm.noAccessTokenErrorMsg:Qm.missingStyleErrorMsg;throw tm.error(f),new Error(f)}return i.length?(i.length>1&&tm.warn(Qm.multipleTokensErrorMsg),i[0]):(a.length&&tm.log([\"Listed mapbox access 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r=t[0].trace;r._glTrace.update(t)}},moduleType:\"trace\",name:\"scattermapbox\",basePlotModule:Kz(),categories:[\"mapbox\",\"gl\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}});var vGe=ye((L_r,dGe)=>{\"use strict\";dGe.exports=hGe()});var dJ=ye((P_r,pGe)=>{\"use strict\";var f1=JA(),xjt=Tu(),bjt=Qo().hovertemplateAttrs,wjt=Vl(),bx=Ao().extendFlat;pGe.exports=bx({locations:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},geojson:{valType:\"any\",editType:\"calc\"},featureidkey:bx({},f1.featureidkey,{}),below:{valType:\"string\",editType:\"plot\"},text:f1.text,hovertext:f1.hovertext,marker:{line:{color:bx({},f1.marker.line.color,{editType:\"plot\"}),width:bx({},f1.marker.line.width,{editType:\"plot\"}),editType:\"calc\"},opacity:bx({},f1.marker.opacity,{editType:\"plot\"}),editType:\"calc\"},selected:{marker:{opacity:bx({},f1.selected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:bx({},f1.unselected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},hoverinfo:f1.hoverinfo,hovertemplate:bjt({},{keys:[\"properties\"]}),showlegend:bx({},wjt.showlegend,{dflt:!1})},xjt(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))});var mGe=ye((I_r,gGe)=>{\"use 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s=Mjt.makeColorScaleFuncFromTrace(t),l=t.marker,u=l.line||{},c;h1.isArrayOrTypedArray(l.opacity)&&(c=function(C){var E=C.mo;return Sjt(E)?+h1.constrain(E,0,1):0});var f;h1.isArrayOrTypedArray(u.color)&&(f=function(C){return C.mlc});var h;h1.isArrayOrTypedArray(u.width)&&(h=function(C){return C.mlw});for(var d=0;d<e.length;d++){var v=e[d],x=v.fOut;if(x){var b=x.properties;b.fc=s(v.z),c&&(b.mo=c(v)),f&&(b.mlc=f(v)),h&&(b.mlw=h(v)),v.ct=b.ct,v._polygons=yGe.feature2polygons(x)}}var p=c?{type:\"identity\",property:\"mo\"}:l.opacity;return h1.extendFlat(n.paint,{\"fill-color\":{type:\"identity\",property:\"fc\"},\"fill-opacity\":p}),h1.extendFlat(i.paint,{\"line-color\":f?{type:\"identity\",property:\"mlc\"}:u.color,\"line-width\":h?{type:\"identity\",property:\"mlw\"}:u.width,\"line-opacity\":p}),n.layout.visibility=\"visible\",i.layout.visibility=\"visible\",a.geojson={type:\"FeatureCollection\",features:o},_Ge(e),a}function _Ge(e){var t=e[0].trace,r=t._opts,n;if(t.selectedpoints){for(var i=Ejt.makeSelectedPointStyleFns(t),a=0;a<e.length;a++){var o=e[a];o.fOut&&(o.fOut.properties.mo2=i.selectedOpacityFn(o))}n={type:\"identity\",property:\"mo2\"}}else n=h1.isArrayOrTypedArray(t.marker.opacity)?{type:\"identity\",property:\"mo\"}:t.marker.opacity;return h1.extendFlat(r.fill.paint,{\"fill-opacity\":n}),h1.extendFlat(r.line.paint,{\"line-opacity\":n}),r}xGe.exports={convert:kjt,convertOnSelect:_Ge}});var SGe=ye((D_r,AGe)=>{\"use strict\";var wGe=vJ().convert,Ljt=vJ().convertOnSelect,bGe=c1().traceLayerPrefix;function TGe(e,t){this.type=\"choroplethmapbox\",this.subplot=e,this.uid=t,this.sourceId=\"source-\"+t,this.layerList=[[\"fill\",bGe+t+\"-fill\"],[\"line\",bGe+t+\"-line\"]],this.below=null}var T5=TGe.prototype;T5.update=function(e){this._update(wGe(e)),e[0].trace._glTrace=this};T5.updateOnSelect=function(e){this._update(Ljt(e))};T5._update=function(e){var t=this.subplot,r=this.layerList,n=t.belowLookup[\"trace-\"+this.uid];t.map.getSource(this.sourceId).setData(e.geojson),n!==this.below&&(this._removeLayers(),this._addLayers(e,n),this.below=n);for(var i=0;i<r.length;i++){var a=r[i],o=a[0],s=a[1],l=e[o];t.setOptions(s,\"setLayoutProperty\",l.layout),l.layout.visibility===\"visible\"&&t.setOptions(s,\"setPaintProperty\",l.paint)}};T5._addLayers=function(e,t){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=e[s];r.addLayer({type:s,id:o[1],source:i,layout:l.layout,paint:l.paint},t)}};T5._removeLayers=function(){for(var e=this.subplot.map,t=this.layerList,r=t.length-1;r>=0;r--)e.removeLayer(t[r][1])};T5.dispose=function(){var e=this.subplot.map;this._removeLayers(),e.removeSource(this.sourceId)};AGe.exports=function(t,r){var n=r[0].trace,i=new TGe(t,n.uid),a=i.sourceId,o=wGe(r),s=i.below=t.belowLookup[\"trace-\"+n.uid];return t.map.addSource(a,{type:\"geojson\",data:o.geojson}),i._addLayers(o,s),r[0].trace._glTrace=i,i}});var EGe=ye((z_r,MGe)=>{\"use strict\";var F_r=[\"*choroplethmapbox* trace is deprecated!\",\"Please consider switching to the *choroplethmap* trace type and `map` subplots.\",\"Learn more at: https://plotly.com/python/maplibre-migration/\",\"as well as https://plotly.com/javascript/maplibre-migration/\"].join(\" \");MGe.exports={attributes:dJ(),supplyDefaults:mGe(),colorbar:M_(),calc:IF(),plot:SGe(),hoverPoints:DF(),eventData:FF(),selectPoints:zF(),styleOnSelect:function(e,t){if(t){var r=t[0].trace;r._glTrace.updateOnSelect(t)}},getBelow:function(e,t){for(var r=t.getMapLayers(),n=r.length-2;n>=0;n--){var i=r[n].id;if(typeof i==\"string\"&&i.indexOf(\"water\")===0){for(var a=n+1;a<r.length;a++)if(i=r[a].id,typeof i==\"string\"&&i.indexOf(\"plotly-\")===-1)return i}}},moduleType:\"trace\",name:\"choroplethmapbox\",basePlotModule:Kz(),categories:[\"mapbox\",\"gl\",\"noOpacity\",\"showLegend\"],meta:{hr_name:\"choropleth_mapbox\"}}});var kGe=ye((O_r,CGe)=>{\"use strict\";CGe.exports=EGe()});var gJ=ye((q_r,PGe)=>{\"use strict\";var Pjt=Tu(),Ijt=Qo().hovertemplateAttrs,LGe=Vl(),Jz=Vz(),pJ=Ao().extendFlat;PGe.exports=pJ({lon:Jz.lon,lat:Jz.lat,z:{valType:\"data_array\",editType:\"calc\"},radius:{valType:\"number\",editType:\"plot\",arrayOk:!0,min:1,dflt:30},below:{valType:\"string\",editType:\"plot\"},text:Jz.text,hovertext:Jz.hovertext,hoverinfo:pJ({},LGe.hoverinfo,{flags:[\"lon\",\"lat\",\"z\",\"text\",\"name\"]}),hovertemplate:Ijt(),showlegend:pJ({},LGe.showlegend,{dflt:!1})},Pjt(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))});var RGe=ye((B_r,IGe)=>{\"use strict\";var Rjt=Dr(),Djt=Jh(),Fjt=gJ();IGe.exports=function(t,r,n,i){function a(u,c){return Rjt.coerce(t,r,Fjt,u,c)}var o=a(\"lon\")||[],s=a(\"lat\")||[],l=Math.min(o.length,s.length);if(!l){r.visible=!1;return}r._length=l,a(\"z\"),a(\"radius\"),a(\"below\"),a(\"text\"),a(\"hovertext\"),a(\"hovertemplate\"),Djt(t,r,i,a,{prefix:\"\",cLetter:\"z\"})}});var zGe=ye((N_r,FGe)=>{\"use strict\";var mJ=Eo(),zjt=Dr().isArrayOrTypedArray,yJ=hs().BADNUM,Ojt=Fv(),DGe=Dr()._;FGe.exports=function(t,r){for(var n=r._length,i=new Array(n),a=r.z,o=zjt(a)&&a.length,s=0;s<n;s++){var l=i[s]={},u=r.lon[s],c=r.lat[s];if(l.lonlat=mJ(u)&&mJ(c)?[+u,+c]:[yJ,yJ],o){var f=a[s];l.z=mJ(f)?f:yJ}}return Ojt(t,r,{vals:o?a:[0,1],containerStr:\"\",cLetter:\"z\"}),n&&(i[0].t={labels:{lat:DGe(t,\"lat:\")+\" \",lon:DGe(t,\"lon:\")+\" \"}}),i}});var UGe=ye((U_r,NGe)=>{\"use strict\";var qjt=Eo(),_J=Dr(),OGe=Ca(),qGe=tc(),BGe=hs().BADNUM,Bjt=rx().makeBlank;NGe.exports=function(t){var r=t[0].trace,n=r.visible===!0&&r._length!==0,i={layout:{visibility:\"none\"},paint:{}},a=r._opts={heatmap:i,geojson:Bjt()};if(!n)return a;var o=[],s,l=r.z,u=r.radius,c=_J.isArrayOrTypedArray(l)&&l.length,f=_J.isArrayOrTypedArray(u);for(s=0;s<t.length;s++){var h=t[s],d=h.lonlat;if(d[0]!==BGe){var v={};if(c){var x=h.z;v.z=x!==BGe?x:0}f&&(v.r=qjt(u[s])&&u[s]>0?+u[s]:0),o.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:d},properties:v})}}var b=qGe.extractOpts(r),p=b.reversescale?qGe.flipScale(b.colorscale):b.colorscale,C=p[0][1],E=OGe.opacity(C)<1?C:OGe.addOpacity(C,0),A=[\"interpolate\",[\"linear\"],[\"heatmap-density\"],0,E];for(s=1;s<p.length;s++)A.push(p[s][0],p[s][1]);var L=[\"interpolate\",[\"linear\"],[\"get\",\"z\"],b.min,0,b.max,1];return _J.extendFlat(a.heatmap.paint,{\"heatmap-weight\":c?L:1/(b.max-b.min),\"heatmap-color\":A,\"heatmap-radius\":f?{type:\"identity\",property:\"r\"}:r.radius,\"heatmap-opacity\":r.opacity}),a.geojson={type:\"FeatureCollection\",features:o},a.heatmap.layout.visibility=\"visible\",a}});var jGe=ye((V_r,HGe)=>{\"use strict\";var VGe=UGe(),Njt=c1().traceLayerPrefix;function GGe(e,t){this.type=\"densitymapbox\",this.subplot=e,this.uid=t,this.sourceId=\"source-\"+t,this.layerList=[[\"heatmap\",Njt+t+\"-heatmap\"]],this.below=null}var $z=GGe.prototype;$z.update=function(e){var t=this.subplot,r=this.layerList,n=VGe(e),i=t.belowLookup[\"trace-\"+this.uid];t.map.getSource(this.sourceId).setData(n.geojson),i!==this.below&&(this._removeLayers(),this._addLayers(n,i),this.below=i);for(var a=0;a<r.length;a++){var o=r[a],s=o[0],l=o[1],u=n[s];t.setOptions(l,\"setLayoutProperty\",u.layout),u.layout.visibility===\"visible\"&&t.setOptions(l,\"setPaintProperty\",u.paint)}};$z._addLayers=function(e,t){for(var r=this.subplot,n=this.layerList,i=this.sourceId,a=0;a<n.length;a++){var o=n[a],s=o[0],l=e[s];r.addLayer({type:s,id:o[1],source:i,layout:l.layout,paint:l.paint},t)}};$z._removeLayers=function(){for(var e=this.subplot.map,t=this.layerList,r=t.length-1;r>=0;r--)e.removeLayer(t[r][1])};$z.dispose=function(){var e=this.subplot.map;this._removeLayers(),e.removeSource(this.sourceId)};HGe.exports=function(t,r){var n=r[0].trace,i=new GGe(t,n.uid),a=i.sourceId,o=VGe(r),s=i.below=t.belowLookup[\"trace-\"+n.uid];return t.map.addSource(a,{type:\"geojson\",data:o.geojson}),i._addLayers(o,s),i}});var XGe=ye((G_r,WGe)=>{\"use strict\";var Ujt=ho(),Vjt=Xz().hoverPoints,Gjt=Xz().getExtraText;WGe.exports=function(t,r,n){var i=Vjt(t,r,n);if(i){var a=i[0],o=a.cd,s=o[0].trace,l=o[a.index];if(delete a.color,\"z\"in l){var u=a.subplot.mockAxis;a.z=l.z,a.zLabel=Ujt.tickText(u,u.c2l(l.z),\"hover\").text}return a.extraText=Gjt(s,l,o[0].t.labels),[a]}}});var YGe=ye((H_r,ZGe)=>{\"use strict\";ZGe.exports=function(t,r){return t.lon=r.lon,t.lat=r.lat,t.z=r.z,t}});var JGe=ye((W_r,KGe)=>{\"use strict\";var j_r=[\"*densitymapbox* trace is deprecated!\",\"Please consider switching to the *densitymap* trace type and `map` subplots.\",\"Learn more at: https://plotly.com/python/maplibre-migration/\",\"as well as https://plotly.com/javascript/maplibre-migration/\"].join(\" \");KGe.exports={attributes:gJ(),supplyDefaults:RGe(),colorbar:M_(),formatLabels:eJ(),calc:zGe(),plot:jGe(),hoverPoints:XGe(),eventData:YGe(),getBelow:function(e,t){for(var r=t.getMapLayers(),n=0;n<r.length;n++){var i=r[n],a=i.id;if(i.type===\"symbol\"&&typeof a==\"string\"&&a.indexOf(\"plotly-\")===-1)return a}},moduleType:\"trace\",name:\"densitymapbox\",basePlotModule:Kz(),categories:[\"mapbox\",\"gl\",\"showLegend\"],meta:{hr_name:\"density_mapbox\"}}});var QGe=ye((X_r,$Ge)=>{\"use strict\";$Ge.exports=JGe()});var tHe=ye((Z_r,eHe)=>{eHe.exports={version:8,name:\"orto\",metadata:{\"maputnik:renderer\":\"mlgljs\"},center:[1.537786,41.837539],zoom:12,bearing:0,pitch:0,light:{anchor:\"viewport\",color:\"white\",intensity:.4,position:[1.15,45,30]},sources:{ortoEsri:{type:\"raster\",tiles:[\"https://server.arcgisonline.com/ArcGIS/rest/services/World_Imagery/MapServer/tile/{z}/{y}/{x}\"],tileSize:256,maxzoom:18,attribution:\"ESRI &copy; <a 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e7=ye(($_r,gHe)=>{\"use strict\";var iWt=Qo().hovertemplateAttrs,nWt=Qo().texttemplateAttrs,aWt=Eg(),jC=G2(),A5=pf(),vHe=HC(),oWt=Vl(),sWt=Tu(),rw=Ao().extendFlat,lWt=mc().overrideAll,uWt=HC(),pHe=jC.line,S5=jC.marker;gHe.exports=lWt({lon:jC.lon,lat:jC.lat,cluster:{enabled:{valType:\"boolean\"},maxzoom:rw({},uWt.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:rw({},S5.opacity,{dflt:1})},mode:rw({},A5.mode,{dflt:\"markers\"}),text:rw({},A5.text,{}),texttemplate:nWt({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:rw({},A5.hovertext,{}),line:{color:pHe.color,width:pHe.width},connectgaps:A5.connectgaps,marker:rw({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:S5.opacity,size:S5.size,sizeref:S5.sizeref,sizemin:S5.sizemin,sizemode:S5.sizemode},sWt(\"marker\")),fill:jC.fill,fillcolor:aWt(),textfont:vHe.layers.symbol.textfont,textposition:vHe.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:A5.selected.marker},unselected:{marker:A5.unselected.marker},hoverinfo:rw({},oWt.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:iWt()},\"calc\",\"nested\")});var xJ=ye((Q_r,mHe)=>{\"use strict\";var cWt=[\"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\"];mHe.exports={isSupportedFont:function(e){return cWt.indexOf(e)!==-1}}});var xHe=ye((exr,_He)=>{\"use strict\";var WC=Dr(),bJ=Ru(),fWt=$p(),hWt=R0(),dWt=D0(),vWt=Ig(),yHe=e7(),pWt=xJ().isSupportedFont;_He.exports=function(t,r,n,i){function a(p,C){return WC.coerce(t,r,yHe,p,C)}function o(p,C){return WC.coerce2(t,r,yHe,p,C)}var s=gWt(t,r,a);if(!s){r.visible=!1;return}if(a(\"text\"),a(\"texttemplate\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"mode\"),a(\"below\"),bJ.hasMarkers(r)){fWt(t,r,n,i,a,{noLine:!0,noAngle:!0}),a(\"marker.allowoverlap\"),a(\"marker.angle\");var l=r.marker;l.symbol!==\"circle\"&&(WC.isArrayOrTypedArray(l.size)&&(l.size=l.size[0]),WC.isArrayOrTypedArray(l.color)&&(l.color=l.color[0]))}bJ.hasLines(r)&&(hWt(t,r,n,i,a,{noDash:!0}),a(\"connectgaps\"));var u=o(\"cluster.maxzoom\"),c=o(\"cluster.step\"),f=o(\"cluster.color\",r.marker&&r.marker.color||n),h=o(\"cluster.size\"),d=o(\"cluster.opacity\"),v=u!==!1||c!==!1||f!==!1||h!==!1||d!==!1,x=a(\"cluster.enabled\",v);if(x||bJ.hasText(r)){var 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p;if((a||o)&&(p=r7.calcTraceToLineCoords(r)),a&&(h.geojson=r7.makePolygon(p),h.layout.visibility=\"visible\",ov.extendFlat(h.paint,{\"fill-color\":n.fillcolor})),o&&(d.geojson=r7.makeLine(p),d.layout.visibility=\"visible\",ov.extendFlat(d.paint,{\"line-width\":n.line.width,\"line-color\":n.line.color,\"line-opacity\":n.opacity})),u){var C=SWt(r);v.geojson=C.geojson,v.layout.visibility=\"visible\",f&&(v.filter=[\"!\",[\"has\",\"point_count\"]],b.cluster={type:\"circle\",filter:[\"has\",\"point_count\"],layout:{visibility:\"visible\"},paint:{\"circle-color\":SJ(n.cluster.color,n.cluster.step),\"circle-radius\":SJ(n.cluster.size,n.cluster.step),\"circle-opacity\":SJ(n.cluster.opacity,n.cluster.step)}},b.clusterCount={type:\"symbol\",filter:[\"has\",\"point_count\"],paint:{},layout:{\"text-field\":\"{point_count_abbreviated}\",\"text-font\":MHe(n),\"text-size\":12}}),ov.extendFlat(v.paint,{\"circle-color\":C.mcc,\"circle-radius\":C.mrc,\"circle-opacity\":C.mo})}if(u&&f&&(v.filter=[\"!\",[\"has\",\"point_count\"]]),(c||l)&&(x.geojson=MWt(r,t),ov.extendFlat(x.layout,{visibility:\"visible\",\"icon-image\":\"{symbol}-15\",\"text-field\":\"{text}\"}),c&&(ov.extendFlat(x.layout,{\"icon-size\":n.marker.size/10}),\"angle\"in 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c;i&&(SHe.hasColorscale(t,\"marker\")?c=SHe.makeColorScaleFuncFromTrace(r):c=ov.identity);var f;a&&(f=_Wt(t));var h;o&&(h=function(E){var A=EHe(E)?+ov.constrain(E,0,1):0;return l(A)});var d=[];for(s=0;s<e.length;s++){var v=e[s],x=v.lonlat;if(!CHe(x)){var b={};c&&(b.mcc=v.mcc=c(v.mc)),f&&(b.mrc=v.mrc=f(v.ms)),h&&(b.mo=h(v.mo)),n&&(b.selected=v.selected||0),d.push({type:\"Feature\",id:s+1,geometry:{type:\"Point\",coordinates:x},properties:b})}}var p;if(n)for(p=yWt.makeSelectedPointStyleFns(t),s=0;s<d.length;s++){var C=d[s].properties;p.selectedOpacityFn&&(C.mo=l(p.selectedOpacityFn(C))),p.selectedColorFn&&(C.mcc=p.selectedColorFn(C)),p.selectedSizeFn&&(C.mrc=p.selectedSizeFn(C))}return{geojson:{type:\"FeatureCollection\",features:d},mcc:i||p&&p.selectedColorFn?{type:\"identity\",property:\"mcc\"}:r.color,mrc:a||p&&p.selectedSizeFn?{type:\"identity\",property:\"mrc\"}:u(r.size),mo:o||p&&p.selectedOpacityFn?{type:\"identity\",property:\"mo\"}:l(r.opacity)}}function MWt(e,t){for(var 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fn{constructor(S,F,W,te,fe,pe){this.inputType=S,this.type=F,this.input=W,this.cases=te,this.outputs=fe,this.otherwise=pe}static parse(S,F){if(S.length<5)return F.error(`Expected at least 4 arguments, but found only ${S.length-1}.`);if(S.length%2!=1)return F.error(\"Expected an even number of arguments.\");let W,te;F.expectedType&&F.expectedType.kind!==\"value\"&&(te=F.expectedType);let fe={},pe=[];for(let ut=2;ut<S.length-1;ut+=2){let Lt=S[ut],Qt=S[ut+1];Array.isArray(Lt)||(Lt=[Lt]);let fr=F.concat(ut);if(Lt.length===0)return fr.error(\"Expected at least one branch label.\");for(let Lr of Lt){if(typeof Lr!=\"number\"&&typeof Lr!=\"string\")return fr.error(\"Branch labels must be numbers or strings.\");if(typeof Lr==\"number\"&&Math.abs(Lr)>Number.MAX_SAFE_INTEGER)return fr.error(`Branch labels must be integers no larger than ${Number.MAX_SAFE_INTEGER}.`);if(typeof Lr==\"number\"&&Math.floor(Lr)!==Lr)return fr.error(\"Numeric branch labels must be integer 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W;F.expectedType&&F.expectedType.kind!==\"value\"&&(W=F.expectedType);let te=[];for(let pe=1;pe<S.length-1;pe+=2){let ze=F.parse(S[pe],pe,yt);if(!ze)return null;let Ke=F.parse(S[pe+1],pe+1,W);if(!Ke)return null;te.push([ze,Ke]),W=W||Ke.type}let fe=F.parse(S[S.length-1],S.length-1,W);if(!fe)return null;if(!W)throw new Error(\"Can't infer output type\");return new Sn(W,te,fe)}evaluate(S){for(let[F,W]of this.branches)if(F.evaluate(S))return W.evaluate(S);return this.otherwise.evaluate(S)}eachChild(S){for(let[F,W]of this.branches)S(F),S(W);S(this.otherwise)}outputDefined(){return this.branches.every(([S,F])=>F.outputDefined())&&this.otherwise.outputDefined()}}class En{constructor(S,F,W,te){this.type=S,this.input=F,this.beginIndex=W,this.endIndex=te}static parse(S,F){if(S.length<=2||S.length>=5)return F.error(`Expected 3 or 4 arguments, but found ${S.length-1} instead.`);let W=F.parse(S[1],1,Tr),te=F.parse(S[2],2,Ft);if(!W||!te)return null;if(!wt(W.type,[Ge(Tr),bt,Tr]))return F.error(`Expected first argument to be of type array or string, but found ${Je(W.type)} instead`);if(S.length===4){let fe=F.parse(S[3],3,Ft);return fe?new En(W.type,W,te,fe):null}return new En(W.type,W,te)}evaluate(S){let F=this.input.evaluate(S),W=this.beginIndex.evaluate(S),te;if(this.endIndex&&(te=this.endIndex.evaluate(S)),Ie(F,[\"string\"]))return[...F].slice(W,te).join(\"\");if(Ie(F,[\"array\"]))return F.slice(W,te);throw new ma(`Expected first argument to be of type array or string, but found ${Je(Mn(F))} instead.`)}eachChild(S){S(this.input),S(this.beginIndex),this.endIndex&&S(this.endIndex)}outputDefined(){return!1}}function ki(R,S){let F=R.length-1,W,te,fe=0,pe=F,ze=0;for(;fe<=pe;)if(ze=Math.floor((fe+pe)/2),W=R[ze],te=R[ze+1],W<=S){if(ze===F||S<te)return ze;fe=ze+1}else{if(!(W>S))throw new ma(\"Input is not a number.\");pe=ze-1}return 0}class _n{constructor(S,F,W){this.type=S,this.input=F,this.labels=[],this.outputs=[];for(let[te,fe]of 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ar(Lr,zr,ui,yi,!1)}case\"lab\":{let[te,fe,pe,ze]=pn(po(R.lab,S.lab,F));return new ar(te,fe,pe,ze,!1)}}},array:po,padding:function(R,S,F){return new $r(po(R.values,S.values,F))},variableAnchorOffsetCollection:function(R,S,F){let W=R.values,te=S.values;if(W.length!==te.length)throw new ma(`Cannot interpolate values of different length. from: ${R.toString()}, to: ${S.toString()}`);let fe=[];for(let pe=0;pe<W.length;pe+=2){if(W[pe]!==te[pe])throw new ma(`Cannot interpolate values containing mismatched anchors. from[${pe}]: ${W[pe]}, to[${pe}]: ${te[pe]}`);fe.push(W[pe]);let[ze,Ke]=W[pe+1],[ut,Lt]=te[pe+1];fe.push([No(ze,ut,F),No(Ke,Lt,F)])}return new Ji(fe)}};class Co{constructor(S,F,W,te,fe){this.type=S,this.operator=F,this.interpolation=W,this.input=te,this.labels=[],this.outputs=[];for(let[pe,ze]of fe)this.labels.push(pe),this.outputs.push(ze)}static interpolationFactor(S,F,W,te){let fe=0;if(S.name===\"exponential\")fe=Fs(F,S.base,W,te);else if(S.name===\"linear\")fe=Fs(F,1,W,te);else 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0}).format(this.number.evaluate(S))}eachChild(S){S(this.number),this.locale&&S(this.locale),this.currency&&S(this.currency),this.minFractionDigits&&S(this.minFractionDigits),this.maxFractionDigits&&S(this.maxFractionDigits)}outputDefined(){return!1}}class Zl{constructor(S){this.type=ei,this.sections=S}static parse(S,F){if(S.length<2)return F.error(\"Expected at least one argument.\");let W=S[1];if(!Array.isArray(W)&&typeof W==\"object\")return F.error(\"First argument must be an image or text section.\");let te=[],fe=!1;for(let pe=1;pe<=S.length-1;++pe){let ze=S[pe];if(fe&&typeof ze==\"object\"&&!Array.isArray(ze)){fe=!1;let Ke=null;if(ze[\"font-scale\"]&&(Ke=F.parse(ze[\"font-scale\"],1,Ft),!Ke))return null;let ut=null;if(ze[\"text-font\"]&&(ut=F.parse(ze[\"text-font\"],1,Ge(bt)),!ut))return null;let Lt=null;if(ze[\"text-color\"]&&(Lt=F.parse(ze[\"text-color\"],1,Yt),!Lt))return null;let Qt=te[te.length-1];Qt.scale=Ke,Qt.font=ut,Qt.textColor=Lt}else{let 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F=Math.pow(2,S.z);return[(te=(R[0]/ws+S.x)/F,360*te-180),(W=(R[1]/ws+S.y)/F,360/Math.PI*Math.atan(Math.exp((180-360*W)*Math.PI/180))-90)];var W,te}function Vu(R,S){R[0]=Math.min(R[0],S[0]),R[1]=Math.min(R[1],S[1]),R[2]=Math.max(R[2],S[0]),R[3]=Math.max(R[3],S[1])}function zl(R,S){return!(R[0]<=S[0]||R[2]>=S[2]||R[1]<=S[1]||R[3]>=S[3])}function xo(R,S,F){let W=R[0]-S[0],te=R[1]-S[1],fe=R[0]-F[0],pe=R[1]-F[1];return W*pe-fe*te==0&&W*fe<=0&&te*pe<=0}function Yl(R,S,F,W){return(te=[W[0]-F[0],W[1]-F[1]])[0]*(fe=[S[0]-R[0],S[1]-R[1]])[1]-te[1]*fe[0]!=0&&!(!qo(R,S,F,W)||!qo(F,W,R,S));var te,fe}function Us(R,S,F){for(let W of F)for(let te=0;te<W.length-1;++te)if(Yl(R,S,W[te],W[te+1]))return!0;return!1}function Hl(R,S,F=!1){let W=!1;for(let ze of S)for(let Ke=0;Ke<ze.length-1;Ke++){if(xo(R,ze[Ke],ze[Ke+1]))return F;(fe=ze[Ke])[1]>(te=R)[1]!=(pe=ze[Ke+1])[1]>te[1]&&te[0]<(pe[0]-fe[0])*(te[1]-fe[1])/(pe[1]-fe[1])+fe[0]&&(W=!W)}var te,fe,pe;return W}function ac(R,S){for(let F of 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te=Math.pow(2,W.z)*ws,fe=[W.x*ws,W.y*ws],pe=[];for(let Ke of R){let ut=[];for(let Lt of Ke){let Qt=[Lt.x+fe[0],Lt.y+fe[1]];Vu(S,Qt),ut.push(Qt)}pe.push(ut)}if(S[2]-S[0]<=te/2){(ze=S)[0]=ze[1]=1/0,ze[2]=ze[3]=-1/0;for(let Ke of pe)for(let ut of Ke)Do(ut,S,F,te)}var ze;return pe}class ml{constructor(S,F){this.type=yt,this.geojson=S,this.geometries=F}static parse(S,F){if(S.length!==2)return F.error(`'within' expression requires exactly one argument, but found ${S.length-1} instead.`);if(yn(S[1])){let W=S[1];if(W.type===\"FeatureCollection\"){let te=[];for(let fe of W.features){let{type:pe,coordinates:ze}=fe.geometry;pe===\"Polygon\"&&te.push(ze),pe===\"MultiPolygon\"&&te.push(...ze)}if(te.length)return new ml(W,{type:\"MultiPolygon\",coordinates:te})}else if(W.type===\"Feature\"){let te=W.geometry.type;if(te===\"Polygon\"||te===\"MultiPolygon\")return new ml(W,W.geometry)}else if(W.type===\"Polygon\"||W.type===\"MultiPolygon\")return new ml(W,W)}return F.error(\"'within' expression 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this._warningHistory[ze.message]||(this._warningHistory[ze.message]=!0,typeof console!=\"undefined\"&&console.warn(ze.message)),this._defaultValue}}}function Dc(R){return Array.isArray(R)&&R.length>0&&typeof R[0]==\"string\"&&R[0]in mf}function ks(R,S){let F=new vo(mf,eh,[],S?function(te){let fe={color:Yt,string:bt,number:Ft,enum:bt,boolean:yt,formatted:ei,padding:Wr,resolvedImage:Ur,variableAnchorOffsetCollection:dt};return te.type===\"array\"?Ge(fe[te.value]||Tr,te.length):fe[te.type]}(S):void 0),W=F.parse(R,void 0,void 0,void 0,S&&S.type===\"string\"?{typeAnnotation:\"coerce\"}:void 0);return W?cc(new Eu(W,S)):of(F.errors)}class bc{constructor(S,F){this.kind=S,this._styleExpression=F,this.isStateDependent=S!==\"constant\"&&!ju(F.expression)}evaluateWithoutErrorHandling(S,F,W,te,fe,pe){return this._styleExpression.evaluateWithoutErrorHandling(S,F,W,te,fe,pe)}evaluate(S,F,W,te,fe,pe){return this._styleExpression.evaluate(S,F,W,te,fe,pe)}}class du{constructor(S,F,W,te){this.kind=S,this.zoomStops=W,this._styleExpression=F,this.isStateDependent=S!==\"camera\"&&!ju(F.expression),this.interpolationType=te}evaluateWithoutErrorHandling(S,F,W,te,fe,pe){return this._styleExpression.evaluateWithoutErrorHandling(S,F,W,te,fe,pe)}evaluate(S,F,W,te,fe,pe){return this._styleExpression.evaluate(S,F,W,te,fe,pe)}interpolationFactor(S,F,W){return this.interpolationType?Co.interpolationFactor(this.interpolationType,S,F,W):0}}function _u(R,S){let F=ks(R,S);if(F.result===\"error\")return F;let W=F.value.expression,te=th(W);if(!te&&!Bl(S))return of([new Et(\"\",\"data expressions not supported\")]);let fe=Hf(W,[\"zoom\"]);if(!fe&&!Kc(S))return of([new Et(\"\",\"zoom expressions not supported\")]);let pe=nh(W);return pe||fe?pe instanceof Et?of([pe]):pe instanceof Co&&!Rc(S)?of([new Et(\"\",'\"interpolate\" expressions cannot be used with this property')]):cc(pe?new du(te?\"camera\":\"composite\",F.value,pe.labels,pe instanceof 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S=R.valueSpec,F=Ls(R.value.type),W,te,fe,pe={},ze=F!==\"categorical\"&&R.value.property===void 0,Ke=!ze,ut=ms(R.value.stops)===\"array\"&&ms(R.value.stops[0])===\"array\"&&ms(R.value.stops[0][0])===\"object\",Lt=Cu({key:R.key,value:R.value,valueSpec:R.styleSpec.function,validateSpec:R.validateSpec,style:R.style,styleSpec:R.styleSpec,objectElementValidators:{stops:function(mr){if(F===\"identity\")return[new ur(mr.key,mr.value,'identity function may not have a \"stops\" property')];let Lr=[],zr=mr.value;return Lr=Lr.concat(Wf({key:mr.key,value:zr,valueSpec:mr.valueSpec,validateSpec:mr.validateSpec,style:mr.style,styleSpec:mr.styleSpec,arrayElementValidator:Qt})),ms(zr)===\"array\"&&zr.length===0&&Lr.push(new ur(mr.key,zr,\"array must have at least one stop\")),Lr},default:function(mr){return mr.validateSpec({key:mr.key,value:mr.value,valueSpec:S,validateSpec:mr.validateSpec,style:mr.style,styleSpec:mr.styleSpec})}}});return F===\"identity\"&&ze&&Lt.push(new ur(R.key,R.value,'missing 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F=S.value.expression||S.value._styleExpression.expression;if(R.expressionContext===\"property\"&&R.propertyKey===\"text-font\"&&!F.outputDefined())return[new ur(R.key,R.value,`Invalid data expression for \"${R.propertyKey}\". 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S=S.concat(Cu({key:W,value:F,valueSpec:fe.layer,style:R.style,styleSpec:R.styleSpec,validateSpec:R.validateSpec,objectElementValidators:{\"*\":()=>[],type:()=>R.validateSpec({key:`${W}.type`,value:F.type,valueSpec:fe.layer.type,style:R.style,styleSpec:R.styleSpec,validateSpec:R.validateSpec,object:F,objectKey:\"type\"}),filter:If,layout:Ke=>Cu({layer:F,key:Ke.key,value:Ke.value,style:Ke.style,styleSpec:Ke.styleSpec,validateSpec:Ke.validateSpec,objectElementValidators:{\"*\":ut=>Wl(Qe({layerType:pe},ut))}}),paint:Ke=>Cu({layer:F,key:Ke.key,value:Ke.value,style:Ke.style,styleSpec:Ke.styleSpec,validateSpec:Ke.validateSpec,objectElementValidators:{\"*\":ut=>Xf(Qe({layerType:pe},ut))}})}})),S}function Zu(R){let S=R.value,F=R.key,W=ms(S);return W!==\"string\"?[new ur(F,S,`string expected, ${W} found`)]:[]}let Oc={promoteId:function({key:R,value:S}){if(ms(S)===\"string\")return Zu({key:R,value:S});{let F=[];for(let W in S)F.push(...Zu({key:`${R}.${W}`,value:S[W]}));return F}}};function Tc(R){let S=R.value,F=R.key,W=R.styleSpec,te=R.style,fe=R.validateSpec;if(!S.type)return[new ur(F,S,'\"type\" is required')];let pe=Ls(S.type),ze;switch(pe){case\"vector\":case\"raster\":return ze=Cu({key:F,value:S,valueSpec:W[`source_${pe.replace(\"-\",\"_\")}`],style:R.style,styleSpec:W,objectElementValidators:Oc,validateSpec:fe}),ze;case\"raster-dem\":return ze=function(Ke){var ut;let Lt=(ut=Ke.sourceName)!==null&&ut!==void 0?ut:\"\",Qt=Ke.value,fr=Ke.styleSpec,mr=fr.source_raster_dem,Lr=Ke.style,zr=[],ui=ms(Qt);if(Qt===void 0)return zr;if(ui!==\"object\")return zr.push(new ur(\"source_raster_dem\",Qt,`object expected, ${ui} found`)),zr;let yi=Ls(Qt.encoding)===\"custom\",dn=[\"redFactor\",\"greenFactor\",\"blueFactor\",\"baseShift\"],Fi=Ke.value.encoding?`\"${Ke.value.encoding}\"`:\"Default\";for(let ln in Qt)!yi&&dn.includes(ln)?zr.push(new ur(ln,Qt[ln],`In \"${Lt}\": \"${ln}\" is only valid when \"encoding\" is set to \"custom\". ${Fi} encoding 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this.first?(this.first=!1,this.lastIntegerZoom=W,this.lastIntegerZoomTime=0,this.lastZoom=S,this.lastFloorZoom=W,!0):(this.lastFloorZoom>W?(this.lastIntegerZoom=W+1,this.lastIntegerZoomTime=F):this.lastFloorZoom<W&&(this.lastIntegerZoom=W,this.lastIntegerZoomTime=F),S!==this.lastZoom&&(this.lastZoom=S,this.lastFloorZoom=W,!0))}}let zn={\"Latin-1 Supplement\":R=>R>=128&&R<=255,\"Hangul Jamo\":R=>R>=4352&&R<=4607,Khmer:R=>R>=6016&&R<=6143,\"General Punctuation\":R=>R>=8192&&R<=8303,\"Letterlike Symbols\":R=>R>=8448&&R<=8527,\"Number Forms\":R=>R>=8528&&R<=8591,\"Miscellaneous Technical\":R=>R>=8960&&R<=9215,\"Control Pictures\":R=>R>=9216&&R<=9279,\"Optical Character Recognition\":R=>R>=9280&&R<=9311,\"Enclosed Alphanumerics\":R=>R>=9312&&R<=9471,\"Geometric Shapes\":R=>R>=9632&&R<=9727,\"Miscellaneous Symbols\":R=>R>=9728&&R<=9983,\"Miscellaneous Symbols and Arrows\":R=>R>=11008&&R<=11263,\"Ideographic Description Characters\":R=>R>=12272&&R<=12287,\"CJK Symbols and Punctuation\":R=>R>=12288&&R<=12351,Katakana:R=>R>=12448&&R<=12543,Kanbun:R=>R>=12688&&R<=12703,\"CJK Strokes\":R=>R>=12736&&R<=12783,\"Enclosed CJK Letters and Months\":R=>R>=12800&&R<=13055,\"CJK Compatibility\":R=>R>=13056&&R<=13311,\"Yijing Hexagram Symbols\":R=>R>=19904&&R<=19967,\"Private Use Area\":R=>R>=57344&&R<=63743,\"Vertical Forms\":R=>R>=65040&&R<=65055,\"CJK Compatibility Forms\":R=>R>=65072&&R<=65103,\"Small Form Variants\":R=>R>=65104&&R<=65135,\"Halfwidth and Fullwidth Forms\":R=>R>=65280&&R<=65519};function Ka(R){for(let S of R)if(Ho(S.charCodeAt(0)))return!0;return!1}function bo(R){for(let S of R)if(!os(S.charCodeAt(0)))return!1;return!0}function Xo(R){let S=R.map(F=>{try{return new RegExp(`\\\\p{sc=${F}}`,\"u\").source}catch(W){return null}}).filter(F=>F);return new RegExp(S.join(\"|\"),\"u\")}let Ms=Xo([\"Arab\",\"Dupl\",\"Mong\",\"Ougr\",\"Syrc\"]);function os(R){return!Ms.test(String.fromCodePoint(R))}let Ts=Xo([\"Bopo\",\"Hani\",\"Hira\",\"Kana\",\"Kits\",\"Nshu\",\"Tang\",\"Yiii\"]);function Ho(R){return!(R!==746&&R!==747&&(R<4352||!(zn[\"CJK Compatibility Forms\"](R)&&!(R>=65097&&R<=65103)||zn[\"CJK Compatibility\"](R)||zn[\"CJK Strokes\"](R)||!(!zn[\"CJK Symbols and Punctuation\"](R)||R>=12296&&R<=12305||R>=12308&&R<=12319||R===12336)||zn[\"Enclosed CJK Letters and Months\"](R)||zn[\"Ideographic Description Characters\"](R)||zn.Kanbun(R)||zn.Katakana(R)&&R!==12540||!(!zn[\"Halfwidth and Fullwidth Forms\"](R)||R===65288||R===65289||R===65293||R>=65306&&R<=65310||R===65339||R===65341||R===65343||R>=65371&&R<=65503||R===65507||R>=65512&&R<=65519)||!(!zn[\"Small Form Variants\"](R)||R>=65112&&R<=65118||R>=65123&&R<=65126)||zn[\"Vertical Forms\"](R)||zn[\"Yijing Hexagram Symbols\"](R)||new RegExp(\"\\\\p{sc=Cans}\",\"u\").test(String.fromCodePoint(R))||new RegExp(\"\\\\p{sc=Hang}\",\"u\").test(String.fromCodePoint(R))||Ts.test(String.fromCodePoint(R)))))}function yl(R){return!(Ho(R)||function(S){return!!(zn[\"Latin-1 Supplement\"](S)&&(S===167||S===169||S===174||S===177||S===188||S===189||S===190||S===215||S===247)||zn[\"General Punctuation\"](S)&&(S===8214||S===8224||S===8225||S===8240||S===8241||S===8251||S===8252||S===8258||S===8263||S===8264||S===8265||S===8273)||zn[\"Letterlike Symbols\"](S)||zn[\"Number Forms\"](S)||zn[\"Miscellaneous Technical\"](S)&&(S>=8960&&S<=8967||S>=8972&&S<=8991||S>=8996&&S<=9e3||S===9003||S>=9085&&S<=9114||S>=9150&&S<=9165||S===9167||S>=9169&&S<=9179||S>=9186&&S<=9215)||zn[\"Control Pictures\"](S)&&S!==9251||zn[\"Optical Character Recognition\"](S)||zn[\"Enclosed Alphanumerics\"](S)||zn[\"Geometric Shapes\"](S)||zn[\"Miscellaneous Symbols\"](S)&&!(S>=9754&&S<=9759)||zn[\"Miscellaneous Symbols and Arrows\"](S)&&(S>=11026&&S<=11055||S>=11088&&S<=11097||S>=11192&&S<=11243)||zn[\"CJK Symbols and Punctuation\"](S)||zn.Katakana(S)||zn[\"Private Use Area\"](S)||zn[\"CJK Compatibility Forms\"](S)||zn[\"Small Form 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class{constructor(){this.applyArabicShaping=null,this.processBidirectionalText=null,this.processStyledBidirectionalText=null,this.pluginStatus=\"unavailable\",this.pluginURL=null}setState(R){this.pluginStatus=R.pluginStatus,this.pluginURL=R.pluginURL}getState(){return{pluginStatus:this.pluginStatus,pluginURL:this.pluginURL}}setMethods(R){this.applyArabicShaping=R.applyArabicShaping,this.processBidirectionalText=R.processBidirectionalText,this.processStyledBidirectionalText=R.processStyledBidirectionalText}isParsed(){return this.applyArabicShaping!=null&&this.processBidirectionalText!=null&&this.processStyledBidirectionalText!=null}getPluginURL(){return this.pluginURL}getRTLTextPluginStatus(){return this.pluginStatus}};class is{constructor(S,F){this.zoom=S,F?(this.now=F.now,this.fadeDuration=F.fadeDuration,this.zoomHistory=F.zoomHistory,this.transition=F.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new Yn,this.transition={})}isSupportedScript(S){return function(F,W){for(let te of F)if(!va(te.charCodeAt(0),W))return!1;return!0}(S,_s.getRTLTextPluginStatus()===\"loaded\")}crossFadingFactor(){return this.fadeDuration===0?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)}getCrossfadeParameters(){let S=this.zoom,F=S-Math.floor(S),W=this.crossFadingFactor();return S>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:F+(1-F)*W}:{fromScale:.5,toScale:1,t:1-(1-W)*F}}}class $l{constructor(S,F){this.property=S,this.value=F,this.expression=function(W,te){if(jf(W))return new al(W,te);if(Dc(W)){let fe=_u(W,te);if(fe.result===\"error\")throw new Error(fe.value.map(pe=>`${pe.key}: ${pe.message}`).join(\", \"));return fe.value}{let fe=W;return te.type===\"color\"&&typeof W==\"string\"?fe=ar.parse(W):te.type!==\"padding\"||typeof W!=\"number\"&&!Array.isArray(W)?te.type===\"variableAnchorOffsetCollection\"&&Array.isArray(W)&&(fe=Ji.parse(W)):fe=$r.parse(W),{kind:\"constant\",evaluate:()=>fe}}}(F===void 0?S.specification.default:F,S.specification)}isDataDriven(){return this.expression.kind===\"source\"||this.expression.kind===\"composite\"}possiblyEvaluate(S,F,W){return this.property.possiblyEvaluate(this,S,F,W)}}class ku{constructor(S){this.property=S,this.value=new $l(S,void 0)}transitioned(S,F){return new Nc(this.property,this.value,F,L({},S.transition,this.transition),S.now)}untransitioned(){return new Nc(this.property,this.value,null,{},0)}}class Yu{constructor(S){this._properties=S,this._values=Object.create(S.defaultTransitionablePropertyValues)}getValue(S){return g(this._values[S].value.value)}setValue(S,F){Object.prototype.hasOwnProperty.call(this._values,S)||(this._values[S]=new ku(this._values[S].property)),this._values[S].value=new $l(this._values[S].property,F===null?void 0:g(F))}getTransition(S){return g(this._values[S].transition)}setTransition(S,F){Object.prototype.hasOwnProperty.call(this._values,S)||(this._values[S]=new ku(this._values[S].property)),this._values[S].transition=g(F)||void 0}serialize(){let S={};for(let F of Object.keys(this._values)){let W=this.getValue(F);W!==void 0&&(S[F]=W);let te=this.getTransition(F);te!==void 0&&(S[`${F}-transition`]=te)}return S}transitioned(S,F){let W=new gu(this._properties);for(let te of Object.keys(this._values))W._values[te]=this._values[te].transitioned(S,F._values[te]);return W}untransitioned(){let S=new gu(this._properties);for(let F of Object.keys(this._values))S._values[F]=this._values[F].untransitioned();return S}}class Nc{constructor(S,F,W,te,fe){this.property=S,this.value=F,this.begin=fe+te.delay||0,this.end=this.begin+te.duration||0,S.specification.transition&&(te.delay||te.duration)&&(this.prior=W)}possiblyEvaluate(S,F,W){let te=S.now||0,fe=this.value.possiblyEvaluate(S,F,W),pe=this.prior;if(pe){if(te>this.end)return this.prior=null,fe;if(this.value.isDataDriven())return this.prior=null,fe;if(te<this.begin)return pe.possiblyEvaluate(S,F,W);{let ze=(te-this.begin)/(this.end-this.begin);return this.property.interpolate(pe.possiblyEvaluate(S,F,W),fe,function(Ke){if(Ke<=0)return 0;if(Ke>=1)return 1;let ut=Ke*Ke,Lt=ut*Ke;return 4*(Ke<.5?Lt:3*(Ke-ut)+Lt-.75)}(ze))}}return fe}}class gu{constructor(S){this._properties=S,this._values=Object.create(S.defaultTransitioningPropertyValues)}possiblyEvaluate(S,F,W){let te=new Ac(this._properties);for(let fe of Object.keys(this._values))te._values[fe]=this._values[fe].possiblyEvaluate(S,F,W);return te}hasTransition(){for(let S of Object.keys(this._values))if(this._values[S].prior)return!0;return!1}}class Uc{constructor(S){this._properties=S,this._values=Object.create(S.defaultPropertyValues)}hasValue(S){return this._values[S].value!==void 0}getValue(S){return g(this._values[S].value)}setValue(S,F){this._values[S]=new $l(this._values[S].property,F===null?void 0:g(F))}serialize(){let S={};for(let F of Object.keys(this._values)){let W=this.getValue(F);W!==void 0&&(S[F]=W)}return S}possiblyEvaluate(S,F,W){let te=new Ac(this._properties);for(let fe of Object.keys(this._values))te._values[fe]=this._values[fe].possiblyEvaluate(S,F,W);return te}}class xu{constructor(S,F,W){this.property=S,this.value=F,this.parameters=W}isConstant(){return this.value.kind===\"constant\"}constantOr(S){return this.value.kind===\"constant\"?this.value.value:S}evaluate(S,F,W,te){return this.property.evaluate(this.value,this.parameters,S,F,W,te)}}class Ac{constructor(S){this._properties=S,this._values=Object.create(S.defaultPossiblyEvaluatedValues)}get(S){return this._values[S]}}class Ua{constructor(S){this.specification=S}possiblyEvaluate(S,F){if(S.isDataDriven())throw new Error(\"Value should not be data driven\");return S.expression.evaluate(F)}interpolate(S,F,W){let te=Lo[this.specification.type];return te?te(S,F,W):S}}class oo{constructor(S,F){this.specification=S,this.overrides=F}possiblyEvaluate(S,F,W,te){return new xu(this,S.expression.kind===\"constant\"||S.expression.kind===\"camera\"?{kind:\"constant\",value:S.expression.evaluate(F,null,{},W,te)}:S.expression,F)}interpolate(S,F,W){if(S.value.kind!==\"constant\"||F.value.kind!==\"constant\")return S;if(S.value.value===void 0||F.value.value===void 0)return new xu(this,{kind:\"constant\",value:void 0},S.parameters);let te=Lo[this.specification.type];if(te){let fe=te(S.value.value,F.value.value,W);return new xu(this,{kind:\"constant\",value:fe},S.parameters)}return S}evaluate(S,F,W,te,fe,pe){return S.kind===\"constant\"?S.value:S.evaluate(F,W,te,fe,pe)}}class Vc extends oo{possiblyEvaluate(S,F,W,te){if(S.value===void 0)return new xu(this,{kind:\"constant\",value:void 0},F);if(S.expression.kind===\"constant\"){let fe=S.expression.evaluate(F,null,{},W,te),pe=S.property.specification.type===\"resolvedImage\"&&typeof fe!=\"string\"?fe.name:fe,ze=this._calculate(pe,pe,pe,F);return new xu(this,{kind:\"constant\",value:ze},F)}if(S.expression.kind===\"camera\"){let fe=this._calculate(S.expression.evaluate({zoom:F.zoom-1}),S.expression.evaluate({zoom:F.zoom}),S.expression.evaluate({zoom:F.zoom+1}),F);return new xu(this,{kind:\"constant\",value:fe},F)}return new xu(this,S.expression,F)}evaluate(S,F,W,te,fe,pe){if(S.kind===\"source\"){let ze=S.evaluate(F,W,te,fe,pe);return this._calculate(ze,ze,ze,F)}return S.kind===\"composite\"?this._calculate(S.evaluate({zoom:Math.floor(F.zoom)-1},W,te),S.evaluate({zoom:Math.floor(F.zoom)},W,te),S.evaluate({zoom:Math.floor(F.zoom)+1},W,te),F):S.value}_calculate(S,F,W,te){return te.zoom>te.zoomHistory.lastIntegerZoom?{from:S,to:F}:{from:W,to:F}}interpolate(S){return S}}class hc{constructor(S){this.specification=S}possiblyEvaluate(S,F,W,te){if(S.value!==void 0){if(S.expression.kind===\"constant\"){let fe=S.expression.evaluate(F,null,{},W,te);return this._calculate(fe,fe,fe,F)}return this._calculate(S.expression.evaluate(new is(Math.floor(F.zoom-1),F)),S.expression.evaluate(new is(Math.floor(F.zoom),F)),S.expression.evaluate(new is(Math.floor(F.zoom+1),F)),F)}}_calculate(S,F,W,te){return te.zoom>te.zoomHistory.lastIntegerZoom?{from:S,to:F}:{from:W,to:F}}interpolate(S){return S}}class Ku{constructor(S){this.specification=S}possiblyEvaluate(S,F,W,te){return!!S.expression.evaluate(F,null,{},W,te)}interpolate(){return!1}}class ue{constructor(S){this.properties=S,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[];for(let F in S){let W=S[F];W.specification.overridable&&this.overridableProperties.push(F);let te=this.defaultPropertyValues[F]=new $l(W,void 0),fe=this.defaultTransitionablePropertyValues[F]=new ku(W);this.defaultTransitioningPropertyValues[F]=fe.untransitioned(),this.defaultPossiblyEvaluatedValues[F]=te.possiblyEvaluate({})}}}Di(\"DataDrivenProperty\",oo),Di(\"DataConstantProperty\",Ua),Di(\"CrossFadedDataDrivenProperty\",Vc),Di(\"CrossFadedProperty\",hc),Di(\"ColorRampProperty\",Ku);let w=\"-transition\";class B extends Fe{constructor(S,F){if(super(),this.id=S.id,this.type=S.type,this._featureFilter={filter:()=>!0,needGeometry:!1},S.type!==\"custom\"&&(this.metadata=S.metadata,this.minzoom=S.minzoom,this.maxzoom=S.maxzoom,S.type!==\"background\"&&(this.source=S.source,this.sourceLayer=S[\"source-layer\"],this.filter=S.filter),F.layout&&(this._unevaluatedLayout=new Uc(F.layout)),F.paint)){this._transitionablePaint=new Yu(F.paint);for(let W in S.paint)this.setPaintProperty(W,S.paint[W],{validate:!1});for(let W in S.layout)this.setLayoutProperty(W,S.layout[W],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new Ac(F.paint)}}getCrossfadeParameters(){return this._crossfadeParameters}getLayoutProperty(S){return S===\"visibility\"?this.visibility:this._unevaluatedLayout.getValue(S)}setLayoutProperty(S,F,W={}){F!=null&&this._validate(Bn,`layers.${this.id}.layout.${S}`,S,F,W)||(S!==\"visibility\"?this._unevaluatedLayout.setValue(S,F):this.visibility=F)}getPaintProperty(S){return S.endsWith(w)?this._transitionablePaint.getTransition(S.slice(0,-11)):this._transitionablePaint.getValue(S)}setPaintProperty(S,F,W={}){if(F!=null&&this._validate(Tn,`layers.${this.id}.paint.${S}`,S,F,W))return!1;if(S.endsWith(w))return this._transitionablePaint.setTransition(S.slice(0,-11),F||void 0),!1;{let te=this._transitionablePaint._values[S],fe=te.property.specification[\"property-type\"]===\"cross-faded-data-driven\",pe=te.value.isDataDriven(),ze=te.value;this._transitionablePaint.setValue(S,F),this._handleSpecialPaintPropertyUpdate(S);let Ke=this._transitionablePaint._values[S].value;return Ke.isDataDriven()||pe||fe||this._handleOverridablePaintPropertyUpdate(S,ze,Ke)}}_handleSpecialPaintPropertyUpdate(S){}_handleOverridablePaintPropertyUpdate(S,F,W){return!1}isHidden(S){return!!(this.minzoom&&S<this.minzoom)||!!(this.maxzoom&&S>=this.maxzoom)||this.visibility===\"none\"}updateTransitions(S){this._transitioningPaint=this._transitionablePaint.transitioned(S,this._transitioningPaint)}hasTransition(){return this._transitioningPaint.hasTransition()}recalculate(S,F){S.getCrossfadeParameters&&(this._crossfadeParameters=S.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(S,void 0,F)),this.paint=this._transitioningPaint.possiblyEvaluate(S,void 0,F)}serialize(){let S={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&&(S.layout=S.layout||{},S.layout.visibility=this.visibility),M(S,(F,W)=>!(F===void 0||W===\"layout\"&&!Object.keys(F).length||W===\"paint\"&&!Object.keys(F).length))}_validate(S,F,W,te,fe={}){return(!fe||fe.validate!==!1)&&Zi(this,S.call(Ei,{key:F,layerType:this.type,objectKey:W,value:te,styleSpec:ce,style:{glyphs:!0,sprite:!0}}))}is3D(){return!1}isTileClipped(){return!1}hasOffscreenPass(){return!1}resize(){}isStateDependent(){for(let S in this.paint._values){let F=this.paint.get(S);if(F instanceof xu&&Bl(F.property.specification)&&(F.value.kind===\"source\"||F.value.kind===\"composite\")&&F.value.isStateDependent)return!0}return!1}}let Q={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array};class ee{constructor(S,F){this._structArray=S,this._pos1=F*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8}}class le{constructor(){this.isTransferred=!1,this.capacity=-1,this.resize(0)}static serialize(S,F){return S._trim(),F&&(S.isTransferred=!0,F.push(S.arrayBuffer)),{length:S.length,arrayBuffer:S.arrayBuffer}}static deserialize(S){let F=Object.create(this.prototype);return F.arrayBuffer=S.arrayBuffer,F.length=S.length,F.capacity=S.arrayBuffer.byteLength/F.bytesPerElement,F._refreshViews(),F}_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(S){this.reserve(S),this.length=S}reserve(S){if(S>this.capacity){this.capacity=Math.max(S,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);let F=this.uint8;this._refreshViews(),F&&this.uint8.set(F)}}_refreshViews(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")}}function qe(R,S=1){let F=0,W=0;return{members:R.map(te=>{let fe=Q[te.type].BYTES_PER_ELEMENT,pe=F=Xe(F,Math.max(S,fe)),ze=te.components||1;return W=Math.max(W,fe),F+=fe*ze,{name:te.name,type:te.type,components:ze,offset:pe}}),size:Xe(F,Math.max(W,S)),alignment:S}}function Xe(R,S){return Math.ceil(R/S)*S}class ot extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(S,F){let W=this.length;return this.resize(W+1),this.emplace(W,S,F)}emplace(S,F,W){let te=2*S;return this.int16[te+0]=F,this.int16[te+1]=W,S}}ot.prototype.bytesPerElement=4,Di(\"StructArrayLayout2i4\",ot);class Tt extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(S,F,W){let te=this.length;return this.resize(te+1),this.emplace(te,S,F,W)}emplace(S,F,W,te){let fe=3*S;return this.int16[fe+0]=F,this.int16[fe+1]=W,this.int16[fe+2]=te,S}}Tt.prototype.bytesPerElement=6,Di(\"StructArrayLayout3i6\",Tt);class Kt extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(S,F,W,te){let fe=this.length;return this.resize(fe+1),this.emplace(fe,S,F,W,te)}emplace(S,F,W,te,fe){let pe=4*S;return this.int16[pe+0]=F,this.int16[pe+1]=W,this.int16[pe+2]=te,this.int16[pe+3]=fe,S}}Kt.prototype.bytesPerElement=8,Di(\"StructArrayLayout4i8\",Kt);class Jt extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(S,F,W,te,fe,pe){let ze=this.length;return this.resize(ze+1),this.emplace(ze,S,F,W,te,fe,pe)}emplace(S,F,W,te,fe,pe,ze){let Ke=6*S;return this.int16[Ke+0]=F,this.int16[Ke+1]=W,this.int16[Ke+2]=te,this.int16[Ke+3]=fe,this.int16[Ke+4]=pe,this.int16[Ke+5]=ze,S}}Jt.prototype.bytesPerElement=12,Di(\"StructArrayLayout2i4i12\",Jt);class xr extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(S,F,W,te,fe,pe){let ze=this.length;return this.resize(ze+1),this.emplace(ze,S,F,W,te,fe,pe)}emplace(S,F,W,te,fe,pe,ze){let Ke=4*S,ut=8*S;return this.int16[Ke+0]=F,this.int16[Ke+1]=W,this.uint8[ut+4]=te,this.uint8[ut+5]=fe,this.uint8[ut+6]=pe,this.uint8[ut+7]=ze,S}}xr.prototype.bytesPerElement=8,Di(\"StructArrayLayout2i4ub8\",xr);class Pr extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(S,F){let W=this.length;return this.resize(W+1),this.emplace(W,S,F)}emplace(S,F,W){let te=2*S;return this.float32[te+0]=F,this.float32[te+1]=W,S}}Pr.prototype.bytesPerElement=8,Di(\"StructArrayLayout2f8\",Pr);class ve extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(S,F,W,te,fe,pe,ze,Ke,ut,Lt){let Qt=this.length;return this.resize(Qt+1),this.emplace(Qt,S,F,W,te,fe,pe,ze,Ke,ut,Lt)}emplace(S,F,W,te,fe,pe,ze,Ke,ut,Lt,Qt){let fr=10*S;return this.uint16[fr+0]=F,this.uint16[fr+1]=W,this.uint16[fr+2]=te,this.uint16[fr+3]=fe,this.uint16[fr+4]=pe,this.uint16[fr+5]=ze,this.uint16[fr+6]=Ke,this.uint16[fr+7]=ut,this.uint16[fr+8]=Lt,this.uint16[fr+9]=Qt,S}}ve.prototype.bytesPerElement=20,Di(\"StructArrayLayout10ui20\",ve);class be extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(S,F,W,te,fe,pe,ze,Ke,ut,Lt,Qt,fr){let mr=this.length;return this.resize(mr+1),this.emplace(mr,S,F,W,te,fe,pe,ze,Ke,ut,Lt,Qt,fr)}emplace(S,F,W,te,fe,pe,ze,Ke,ut,Lt,Qt,fr,mr){let Lr=12*S;return this.int16[Lr+0]=F,this.int16[Lr+1]=W,this.int16[Lr+2]=te,this.int16[Lr+3]=fe,this.uint16[Lr+4]=pe,this.uint16[Lr+5]=ze,this.uint16[Lr+6]=Ke,this.uint16[Lr+7]=ut,this.int16[Lr+8]=Lt,this.int16[Lr+9]=Qt,this.int16[Lr+10]=fr,this.int16[Lr+11]=mr,S}}be.prototype.bytesPerElement=24,Di(\"StructArrayLayout4i4ui4i24\",be);class Re extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(S,F,W){let te=this.length;return this.resize(te+1),this.emplace(te,S,F,W)}emplace(S,F,W,te){let fe=3*S;return this.float32[fe+0]=F,this.float32[fe+1]=W,this.float32[fe+2]=te,S}}Re.prototype.bytesPerElement=12,Di(\"StructArrayLayout3f12\",Re);class Be extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)}emplaceBack(S){let F=this.length;return this.resize(F+1),this.emplace(F,S)}emplace(S,F){return this.uint32[1*S+0]=F,S}}Be.prototype.bytesPerElement=4,Di(\"StructArrayLayout1ul4\",Be);class tt extends le{_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(S,F,W,te,fe,pe,ze,Ke,ut){let Lt=this.length;return this.resize(Lt+1),this.emplace(Lt,S,F,W,te,fe,pe,ze,Ke,ut)}emplace(S,F,W,te,fe,pe,ze,Ke,ut,Lt){let Qt=10*S,fr=5*S;return this.int16[Qt+0]=F,this.int16[Qt+1]=W,this.int16[Qt+2]=te,this.int16[Qt+3]=fe,this.int16[Qt+4]=pe,this.int16[Qt+5]=ze,this.uint32[fr+3]=Ke,this.uint16[Qt+8]=ut,this.uint16[Qt+9]=Lt,S}}tt.prototype.bytesPerElement=20,Di(\"StructArrayLayout6i1ul2ui20\",tt);class We extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(S,F,W,te,fe,pe){let ze=this.length;return this.resize(ze+1),this.emplace(ze,S,F,W,te,fe,pe)}emplace(S,F,W,te,fe,pe,ze){let Ke=6*S;return this.int16[Ke+0]=F,this.int16[Ke+1]=W,this.int16[Ke+2]=te,this.int16[Ke+3]=fe,this.int16[Ke+4]=pe,this.int16[Ke+5]=ze,S}}We.prototype.bytesPerElement=12,Di(\"StructArrayLayout2i2i2i12\",We);class it extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(S,F,W,te,fe){let pe=this.length;return this.resize(pe+1),this.emplace(pe,S,F,W,te,fe)}emplace(S,F,W,te,fe,pe){let ze=4*S,Ke=8*S;return this.float32[ze+0]=F,this.float32[ze+1]=W,this.float32[ze+2]=te,this.int16[Ke+6]=fe,this.int16[Ke+7]=pe,S}}it.prototype.bytesPerElement=16,Di(\"StructArrayLayout2f1f2i16\",it);class Dt extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(S,F,W,te,fe,pe){let ze=this.length;return this.resize(ze+1),this.emplace(ze,S,F,W,te,fe,pe)}emplace(S,F,W,te,fe,pe,ze){let Ke=16*S,ut=4*S,Lt=8*S;return this.uint8[Ke+0]=F,this.uint8[Ke+1]=W,this.float32[ut+1]=te,this.float32[ut+2]=fe,this.int16[Lt+6]=pe,this.int16[Lt+7]=ze,S}}Dt.prototype.bytesPerElement=16,Di(\"StructArrayLayout2ub2f2i16\",Dt);class Ht extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(S,F,W){let te=this.length;return this.resize(te+1),this.emplace(te,S,F,W)}emplace(S,F,W,te){let fe=3*S;return this.uint16[fe+0]=F,this.uint16[fe+1]=W,this.uint16[fe+2]=te,S}}Ht.prototype.bytesPerElement=6,Di(\"StructArrayLayout3ui6\",Ht);class rr extends le{_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(S,F,W,te,fe,pe,ze,Ke,ut,Lt,Qt,fr,mr,Lr,zr,ui,yi){let dn=this.length;return this.resize(dn+1),this.emplace(dn,S,F,W,te,fe,pe,ze,Ke,ut,Lt,Qt,fr,mr,Lr,zr,ui,yi)}emplace(S,F,W,te,fe,pe,ze,Ke,ut,Lt,Qt,fr,mr,Lr,zr,ui,yi,dn){let Fi=24*S,ln=12*S,An=48*S;return this.int16[Fi+0]=F,this.int16[Fi+1]=W,this.uint16[Fi+2]=te,this.uint16[Fi+3]=fe,this.uint32[ln+2]=pe,this.uint32[ln+3]=ze,this.uint32[ln+4]=Ke,this.uint16[Fi+10]=ut,this.uint16[Fi+11]=Lt,this.uint16[Fi+12]=Qt,this.float32[ln+7]=fr,this.float32[ln+8]=mr,this.uint8[An+36]=Lr,this.uint8[An+37]=zr,this.uint8[An+38]=ui,this.uint32[ln+10]=yi,this.int16[Fi+22]=dn,S}}rr.prototype.bytesPerElement=48,Di(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",rr);class dr extends le{_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(S,F,W,te,fe,pe,ze,Ke,ut,Lt,Qt,fr,mr,Lr,zr,ui,yi,dn,Fi,ln,An,pa,ro,Vo,Xa,sa,Mo,fo){let lo=this.length;return this.resize(lo+1),this.emplace(lo,S,F,W,te,fe,pe,ze,Ke,ut,Lt,Qt,fr,mr,Lr,zr,ui,yi,dn,Fi,ln,An,pa,ro,Vo,Xa,sa,Mo,fo)}emplace(S,F,W,te,fe,pe,ze,Ke,ut,Lt,Qt,fr,mr,Lr,zr,ui,yi,dn,Fi,ln,An,pa,ro,Vo,Xa,sa,Mo,fo,lo){let Xn=32*S,Ro=16*S;return this.int16[Xn+0]=F,this.int16[Xn+1]=W,this.int16[Xn+2]=te,this.int16[Xn+3]=fe,this.int16[Xn+4]=pe,this.int16[Xn+5]=ze,this.int16[Xn+6]=Ke,this.int16[Xn+7]=ut,this.uint16[Xn+8]=Lt,this.uint16[Xn+9]=Qt,this.uint16[Xn+10]=fr,this.uint16[Xn+11]=mr,this.uint16[Xn+12]=Lr,this.uint16[Xn+13]=zr,this.uint16[Xn+14]=ui,this.uint16[Xn+15]=yi,this.uint16[Xn+16]=dn,this.uint16[Xn+17]=Fi,this.uint16[Xn+18]=ln,this.uint16[Xn+19]=An,this.uint16[Xn+20]=pa,this.uint16[Xn+21]=ro,this.uint16[Xn+22]=Vo,this.uint32[Ro+12]=Xa,this.float32[Ro+13]=sa,this.float32[Ro+14]=Mo,this.uint16[Xn+30]=fo,this.uint16[Xn+31]=lo,S}}dr.prototype.bytesPerElement=64,Di(\"StructArrayLayout8i15ui1ul2f2ui64\",dr);class Sr extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(S){let F=this.length;return this.resize(F+1),this.emplace(F,S)}emplace(S,F){return this.float32[1*S+0]=F,S}}Sr.prototype.bytesPerElement=4,Di(\"StructArrayLayout1f4\",Sr);class Or extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(S,F,W){let te=this.length;return this.resize(te+1),this.emplace(te,S,F,W)}emplace(S,F,W,te){let fe=3*S;return this.uint16[6*S+0]=F,this.float32[fe+1]=W,this.float32[fe+2]=te,S}}Or.prototype.bytesPerElement=12,Di(\"StructArrayLayout1ui2f12\",Or);class jr extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(S,F,W){let te=this.length;return this.resize(te+1),this.emplace(te,S,F,W)}emplace(S,F,W,te){let fe=4*S;return this.uint32[2*S+0]=F,this.uint16[fe+2]=W,this.uint16[fe+3]=te,S}}jr.prototype.bytesPerElement=8,Di(\"StructArrayLayout1ul2ui8\",jr);class ii extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(S,F){let W=this.length;return this.resize(W+1),this.emplace(W,S,F)}emplace(S,F,W){let te=2*S;return this.uint16[te+0]=F,this.uint16[te+1]=W,S}}ii.prototype.bytesPerElement=4,Di(\"StructArrayLayout2ui4\",ii);class Li extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(S){let F=this.length;return this.resize(F+1),this.emplace(F,S)}emplace(S,F){return this.uint16[1*S+0]=F,S}}Li.prototype.bytesPerElement=2,Di(\"StructArrayLayout1ui2\",Li);class un extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(S,F,W,te){let fe=this.length;return this.resize(fe+1),this.emplace(fe,S,F,W,te)}emplace(S,F,W,te,fe){let pe=4*S;return this.float32[pe+0]=F,this.float32[pe+1]=W,this.float32[pe+2]=te,this.float32[pe+3]=fe,S}}un.prototype.bytesPerElement=16,Di(\"StructArrayLayout4f16\",un);class sn extends ee{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 u(this.anchorPointX,this.anchorPointY)}}sn.prototype.size=20;class In extends tt{get(S){return new sn(this,S)}}Di(\"CollisionBoxArray\",In);class Kn extends ee{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(S){this._structArray.uint8[this._pos1+37]=S}get hidden(){return this._structArray.uint8[this._pos1+38]}set hidden(S){this._structArray.uint8[this._pos1+38]=S}get crossTileID(){return this._structArray.uint32[this._pos4+10]}set crossTileID(S){this._structArray.uint32[this._pos4+10]=S}get associatedIconIndex(){return this._structArray.int16[this._pos2+22]}}Kn.prototype.size=48;class Aa extends rr{get(S){return new Kn(this,S)}}Di(\"PlacedSymbolArray\",Aa);class fa extends ee{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(S){this._structArray.uint32[this._pos4+12]=S}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]}}fa.prototype.size=64;class $a extends dr{get(S){return new fa(this,S)}}Di(\"SymbolInstanceArray\",$a);class ko extends Sr{getoffsetX(S){return this.float32[1*S+0]}}Di(\"GlyphOffsetArray\",ko);class Qa extends Tt{getx(S){return this.int16[3*S+0]}gety(S){return this.int16[3*S+1]}gettileUnitDistanceFromAnchor(S){return this.int16[3*S+2]}}Di(\"SymbolLineVertexArray\",Qa);class mo extends ee{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]}}mo.prototype.size=12;class Bo extends Or{get(S){return new mo(this,S)}}Di(\"TextAnchorOffsetArray\",Bo);class Is extends ee{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]}}Is.prototype.size=8;class As extends jr{get(S){return new Is(this,S)}}Di(\"FeatureIndexArray\",As);class wo extends ot{}class To extends ot{}class dl extends ot{}class Nl extends Jt{}class Lu extends xr{}class ou extends Pr{}class $s extends ve{}class Ql extends be{}class dc extends Re{}class Tl extends Be{}class Al extends We{}class X extends Dt{}class se extends Ht{}class Te extends ii{}let Ne=qe([{name:\"a_pos\",components:2,type:\"Int16\"}],4),{members:He}=Ne;class Ye{constructor(S=[]){this.segments=S}prepareSegment(S,F,W,te){let fe=this.segments[this.segments.length-1];return S>Ye.MAX_VERTEX_ARRAY_LENGTH&&T(`Max vertices per segment is ${Ye.MAX_VERTEX_ARRAY_LENGTH}: bucket requested ${S}`),(!fe||fe.vertexLength+S>Ye.MAX_VERTEX_ARRAY_LENGTH||fe.sortKey!==te)&&(fe={vertexOffset:F.length,primitiveOffset:W.length,vertexLength:0,primitiveLength:0},te!==void 0&&(fe.sortKey=te),this.segments.push(fe)),fe}get(){return this.segments}destroy(){for(let S of this.segments)for(let F in S.vaos)S.vaos[F].destroy()}static simpleSegment(S,F,W,te){return new Ye([{vertexOffset:S,primitiveOffset:F,vertexLength:W,primitiveLength:te,vaos:{},sortKey:0}])}}function Ct(R,S){return 256*(R=E(Math.floor(R),0,255))+E(Math.floor(S),0,255)}Ye.MAX_VERTEX_ARRAY_LENGTH=Math.pow(2,16)-1,Di(\"SegmentVector\",Ye);let nt=qe([{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 jt={exports:{}},gr={exports:{}};gr.exports=function(R,S){var F,W,te,fe,pe,ze,Ke,ut;for(W=R.length-(F=3&R.length),te=S,pe=3432918353,ze=461845907,ut=0;ut<W;)Ke=255&R.charCodeAt(ut)|(255&R.charCodeAt(++ut))<<8|(255&R.charCodeAt(++ut))<<16|(255&R.charCodeAt(++ut))<<24,++ut,te=27492+(65535&(fe=5*(65535&(te=(te^=Ke=(65535&(Ke=(Ke=(65535&Ke)*pe+(((Ke>>>16)*pe&65535)<<16)&4294967295)<<15|Ke>>>17))*ze+(((Ke>>>16)*ze&65535)<<16)&4294967295)<<13|te>>>19))+((5*(te>>>16)&65535)<<16)&4294967295))+((58964+(fe>>>16)&65535)<<16);switch(Ke=0,F){case 3:Ke^=(255&R.charCodeAt(ut+2))<<16;case 2:Ke^=(255&R.charCodeAt(ut+1))<<8;case 1:te^=Ke=(65535&(Ke=(Ke=(65535&(Ke^=255&R.charCodeAt(ut)))*pe+(((Ke>>>16)*pe&65535)<<16)&4294967295)<<15|Ke>>>17))*ze+(((Ke>>>16)*ze&65535)<<16)&4294967295}return te^=R.length,te=2246822507*(65535&(te^=te>>>16))+((2246822507*(te>>>16)&65535)<<16)&4294967295,te=3266489909*(65535&(te^=te>>>13))+((3266489909*(te>>>16)&65535)<<16)&4294967295,(te^=te>>>16)>>>0};var yr=gr.exports,Gr={exports:{}};Gr.exports=function(R,S){for(var F,W=R.length,te=S^W,fe=0;W>=4;)F=1540483477*(65535&(F=255&R.charCodeAt(fe)|(255&R.charCodeAt(++fe))<<8|(255&R.charCodeAt(++fe))<<16|(255&R.charCodeAt(++fe))<<24))+((1540483477*(F>>>16)&65535)<<16),te=1540483477*(65535&te)+((1540483477*(te>>>16)&65535)<<16)^(F=1540483477*(65535&(F^=F>>>24))+((1540483477*(F>>>16)&65535)<<16)),W-=4,++fe;switch(W){case 3:te^=(255&R.charCodeAt(fe+2))<<16;case 2:te^=(255&R.charCodeAt(fe+1))<<8;case 1:te=1540483477*(65535&(te^=255&R.charCodeAt(fe)))+((1540483477*(te>>>16)&65535)<<16)}return te=1540483477*(65535&(te^=te>>>13))+((1540483477*(te>>>16)&65535)<<16),(te^=te>>>15)>>>0};var qr=yr,_i=Gr.exports;jt.exports=qr,jt.exports.murmur3=qr,jt.exports.murmur2=_i;var bi=o(jt.exports);class Xr{constructor(){this.ids=[],this.positions=[],this.indexed=!1}add(S,F,W,te){this.ids.push(ni(S)),this.positions.push(F,W,te)}getPositions(S){if(!this.indexed)throw new Error(\"Trying to get index, but feature positions are not indexed\");let F=ni(S),W=0,te=this.ids.length-1;for(;W<te;){let pe=W+te>>1;this.ids[pe]>=F?te=pe:W=pe+1}let fe=[];for(;this.ids[W]===F;)fe.push({index:this.positions[3*W],start:this.positions[3*W+1],end:this.positions[3*W+2]}),W++;return fe}static serialize(S,F){let W=new Float64Array(S.ids),te=new Uint32Array(S.positions);return gi(W,te,0,W.length-1),F&&F.push(W.buffer,te.buffer),{ids:W,positions:te}}static deserialize(S){let F=new Xr;return F.ids=S.ids,F.positions=S.positions,F.indexed=!0,F}}function ni(R){let S=+R;return!isNaN(S)&&S<=Number.MAX_SAFE_INTEGER?S:bi(String(R))}function gi(R,S,F,W){for(;F<W;){let te=R[F+W>>1],fe=F-1,pe=W+1;for(;;){do fe++;while(R[fe]<te);do pe--;while(R[pe]>te);if(fe>=pe)break;Pi(R,fe,pe),Pi(S,3*fe,3*pe),Pi(S,3*fe+1,3*pe+1),Pi(S,3*fe+2,3*pe+2)}pe-F<W-pe?(gi(R,S,F,pe),F=pe+1):(gi(R,S,pe+1,W),W=pe)}}function Pi(R,S,F){let W=R[S];R[S]=R[F],R[F]=W}Di(\"FeaturePositionMap\",Xr);class Ai{constructor(S,F){this.gl=S.gl,this.location=F}}class ti extends Ai{constructor(S,F){super(S,F),this.current=0}set(S){this.current!==S&&(this.current=S,this.gl.uniform1f(this.location,S))}}class Rn extends Ai{constructor(S,F){super(S,F),this.current=[0,0,0,0]}set(S){S[0]===this.current[0]&&S[1]===this.current[1]&&S[2]===this.current[2]&&S[3]===this.current[3]||(this.current=S,this.gl.uniform4f(this.location,S[0],S[1],S[2],S[3]))}}class Cn extends Ai{constructor(S,F){super(S,F),this.current=ar.transparent}set(S){S.r===this.current.r&&S.g===this.current.g&&S.b===this.current.b&&S.a===this.current.a||(this.current=S,this.gl.uniform4f(this.location,S.r,S.g,S.b,S.a))}}let Nn=new Float32Array(16);function ia(R){return[Ct(255*R.r,255*R.g),Ct(255*R.b,255*R.a)]}class Ea{constructor(S,F,W){this.value=S,this.uniformNames=F.map(te=>`u_${te}`),this.type=W}setUniform(S,F,W){S.set(W.constantOr(this.value))}getBinding(S,F,W){return this.type===\"color\"?new Cn(S,F):new ti(S,F)}}class Ia{constructor(S,F){this.uniformNames=F.map(W=>`u_${W}`),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1}setConstantPatternPositions(S,F){this.pixelRatioFrom=F.pixelRatio,this.pixelRatioTo=S.pixelRatio,this.patternFrom=F.tlbr,this.patternTo=S.tlbr}setUniform(S,F,W,te){let fe=te===\"u_pattern_to\"?this.patternTo:te===\"u_pattern_from\"?this.patternFrom:te===\"u_pixel_ratio_to\"?this.pixelRatioTo:te===\"u_pixel_ratio_from\"?this.pixelRatioFrom:null;fe&&S.set(fe)}getBinding(S,F,W){return W.substr(0,9)===\"u_pattern\"?new Rn(S,F):new ti(S,F)}}class yo{constructor(S,F,W,te){this.expression=S,this.type=W,this.maxValue=0,this.paintVertexAttributes=F.map(fe=>({name:`a_${fe}`,type:\"Float32\",components:W===\"color\"?2:1,offset:0})),this.paintVertexArray=new te}populatePaintArray(S,F,W,te,fe){let pe=this.paintVertexArray.length,ze=this.expression.evaluate(new is(0),F,{},te,[],fe);this.paintVertexArray.resize(S),this._setPaintValue(pe,S,ze)}updatePaintArray(S,F,W,te){let fe=this.expression.evaluate({zoom:0},W,te);this._setPaintValue(S,F,fe)}_setPaintValue(S,F,W){if(this.type===\"color\"){let te=ia(W);for(let fe=S;fe<F;fe++)this.paintVertexArray.emplace(fe,te[0],te[1])}else{for(let te=S;te<F;te++)this.paintVertexArray.emplace(te,W);this.maxValue=Math.max(this.maxValue,Math.abs(W))}}upload(S){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=S.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))}destroy(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()}}class Da{constructor(S,F,W,te,fe,pe){this.expression=S,this.uniformNames=F.map(ze=>`u_${ze}_t`),this.type=W,this.useIntegerZoom=te,this.zoom=fe,this.maxValue=0,this.paintVertexAttributes=F.map(ze=>({name:`a_${ze}`,type:\"Float32\",components:W===\"color\"?4:2,offset:0})),this.paintVertexArray=new pe}populatePaintArray(S,F,W,te,fe){let pe=this.expression.evaluate(new is(this.zoom),F,{},te,[],fe),ze=this.expression.evaluate(new is(this.zoom+1),F,{},te,[],fe),Ke=this.paintVertexArray.length;this.paintVertexArray.resize(S),this._setPaintValue(Ke,S,pe,ze)}updatePaintArray(S,F,W,te){let fe=this.expression.evaluate({zoom:this.zoom},W,te),pe=this.expression.evaluate({zoom:this.zoom+1},W,te);this._setPaintValue(S,F,fe,pe)}_setPaintValue(S,F,W,te){if(this.type===\"color\"){let fe=ia(W),pe=ia(te);for(let ze=S;ze<F;ze++)this.paintVertexArray.emplace(ze,fe[0],fe[1],pe[0],pe[1])}else{for(let fe=S;fe<F;fe++)this.paintVertexArray.emplace(fe,W,te);this.maxValue=Math.max(this.maxValue,Math.abs(W),Math.abs(te))}}upload(S){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=S.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))}destroy(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()}setUniform(S,F){let W=this.useIntegerZoom?Math.floor(F.zoom):F.zoom,te=E(this.expression.interpolationFactor(W,this.zoom,this.zoom+1),0,1);S.set(te)}getBinding(S,F,W){return new ti(S,F)}}class go{constructor(S,F,W,te,fe,pe){this.expression=S,this.type=F,this.useIntegerZoom=W,this.zoom=te,this.layerId=pe,this.zoomInPaintVertexArray=new fe,this.zoomOutPaintVertexArray=new fe}populatePaintArray(S,F,W){let te=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(S),this.zoomOutPaintVertexArray.resize(S),this._setPaintValues(te,S,F.patterns&&F.patterns[this.layerId],W)}updatePaintArray(S,F,W,te,fe){this._setPaintValues(S,F,W.patterns&&W.patterns[this.layerId],fe)}_setPaintValues(S,F,W,te){if(!te||!W)return;let{min:fe,mid:pe,max:ze}=W,Ke=te[fe],ut=te[pe],Lt=te[ze];if(Ke&&ut&&Lt)for(let Qt=S;Qt<F;Qt++)this.zoomInPaintVertexArray.emplace(Qt,ut.tl[0],ut.tl[1],ut.br[0],ut.br[1],Ke.tl[0],Ke.tl[1],Ke.br[0],Ke.br[1],ut.pixelRatio,Ke.pixelRatio),this.zoomOutPaintVertexArray.emplace(Qt,ut.tl[0],ut.tl[1],ut.br[0],ut.br[1],Lt.tl[0],Lt.tl[1],Lt.br[0],Lt.br[1],ut.pixelRatio,Lt.pixelRatio)}upload(S){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=S.createVertexBuffer(this.zoomInPaintVertexArray,nt.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=S.createVertexBuffer(this.zoomOutPaintVertexArray,nt.members,this.expression.isStateDependent))}destroy(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()}}class Rs{constructor(S,F,W){this.binders={},this._buffers=[];let te=[];for(let fe in S.paint._values){if(!W(fe))continue;let pe=S.paint.get(fe);if(!(pe instanceof xu&&Bl(pe.property.specification)))continue;let ze=Zs(fe,S.type),Ke=pe.value,ut=pe.property.specification.type,Lt=pe.property.useIntegerZoom,Qt=pe.property.specification[\"property-type\"],fr=Qt===\"cross-faded\"||Qt===\"cross-faded-data-driven\";if(Ke.kind===\"constant\")this.binders[fe]=fr?new Ia(Ke.value,ze):new Ea(Ke.value,ze,ut),te.push(`/u_${fe}`);else if(Ke.kind===\"source\"||fr){let mr=Gn(fe,ut,\"source\");this.binders[fe]=fr?new go(Ke,ut,Lt,F,mr,S.id):new yo(Ke,ze,ut,mr),te.push(`/a_${fe}`)}else{let mr=Gn(fe,ut,\"composite\");this.binders[fe]=new Da(Ke,ze,ut,Lt,F,mr),te.push(`/z_${fe}`)}}this.cacheKey=te.sort().join(\"\")}getMaxValue(S){let F=this.binders[S];return F instanceof yo||F instanceof Da?F.maxValue:0}populatePaintArrays(S,F,W,te,fe){for(let pe in this.binders){let ze=this.binders[pe];(ze instanceof yo||ze instanceof Da||ze instanceof go)&&ze.populatePaintArray(S,F,W,te,fe)}}setConstantPatternPositions(S,F){for(let W in this.binders){let te=this.binders[W];te instanceof Ia&&te.setConstantPatternPositions(S,F)}}updatePaintArrays(S,F,W,te,fe){let pe=!1;for(let ze in S){let Ke=F.getPositions(ze);for(let ut of Ke){let Lt=W.feature(ut.index);for(let Qt in this.binders){let fr=this.binders[Qt];if((fr instanceof yo||fr instanceof Da||fr instanceof go)&&fr.expression.isStateDependent===!0){let mr=te.paint.get(Qt);fr.expression=mr.value,fr.updatePaintArray(ut.start,ut.end,Lt,S[ze],fe),pe=!0}}}}return pe}defines(){let S=[];for(let F in this.binders){let W=this.binders[F];(W instanceof Ea||W instanceof Ia)&&S.push(...W.uniformNames.map(te=>`#define HAS_UNIFORM_${te}`))}return S}getBinderAttributes(){let S=[];for(let F in this.binders){let W=this.binders[F];if(W instanceof yo||W instanceof Da)for(let te=0;te<W.paintVertexAttributes.length;te++)S.push(W.paintVertexAttributes[te].name);else if(W instanceof go)for(let te=0;te<nt.members.length;te++)S.push(nt.members[te].name)}return S}getBinderUniforms(){let S=[];for(let F in this.binders){let W=this.binders[F];if(W instanceof Ea||W instanceof Ia||W instanceof Da)for(let te of W.uniformNames)S.push(te)}return S}getPaintVertexBuffers(){return this._buffers}getUniforms(S,F){let W=[];for(let te in this.binders){let fe=this.binders[te];if(fe instanceof Ea||fe instanceof Ia||fe instanceof Da){for(let pe of fe.uniformNames)if(F[pe]){let ze=fe.getBinding(S,F[pe],pe);W.push({name:pe,property:te,binding:ze})}}}return W}setUniforms(S,F,W,te){for(let{name:fe,property:pe,binding:ze}of F)this.binders[pe].setUniform(ze,te,W.get(pe),fe)}updatePaintBuffers(S){this._buffers=[];for(let F in this.binders){let W=this.binders[F];if(S&&W instanceof go){let te=S.fromScale===2?W.zoomInPaintVertexBuffer:W.zoomOutPaintVertexBuffer;te&&this._buffers.push(te)}else(W instanceof yo||W instanceof Da)&&W.paintVertexBuffer&&this._buffers.push(W.paintVertexBuffer)}}upload(S){for(let F in this.binders){let W=this.binders[F];(W instanceof yo||W instanceof Da||W instanceof go)&&W.upload(S)}this.updatePaintBuffers()}destroy(){for(let S in this.binders){let F=this.binders[S];(F instanceof yo||F instanceof Da||F instanceof go)&&F.destroy()}}}class Es{constructor(S,F,W=()=>!0){this.programConfigurations={};for(let te of S)this.programConfigurations[te.id]=new Rs(te,F,W);this.needsUpload=!1,this._featureMap=new Xr,this._bufferOffset=0}populatePaintArrays(S,F,W,te,fe,pe){for(let ze in this.programConfigurations)this.programConfigurations[ze].populatePaintArrays(S,F,te,fe,pe);F.id!==void 0&&this._featureMap.add(F.id,W,this._bufferOffset,S),this._bufferOffset=S,this.needsUpload=!0}updatePaintArrays(S,F,W,te){for(let fe of W)this.needsUpload=this.programConfigurations[fe.id].updatePaintArrays(S,this._featureMap,F,fe,te)||this.needsUpload}get(S){return this.programConfigurations[S]}upload(S){if(this.needsUpload){for(let F in this.programConfigurations)this.programConfigurations[F].upload(S);this.needsUpload=!1}}destroy(){for(let S in 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Sl(R,S){return{type:R.type,id:R.id,properties:R.properties,geometry:S?Qs(R):[]}}function bu(R,S,F,W,te){R.emplaceBack(2*S+(W+1)/2,2*F+(te+1)/2)}class vl{constructor(S){this.zoom=S.zoom,this.overscaling=S.overscaling,this.layers=S.layers,this.layerIds=this.layers.map(F=>F.id),this.index=S.index,this.hasPattern=!1,this.layoutVertexArray=new To,this.indexArray=new se,this.segments=new Ye,this.programConfigurations=new Es(S.layers,S.zoom),this.stateDependentLayerIds=this.layers.filter(F=>F.isStateDependent()).map(F=>F.id)}populate(S,F,W){let te=this.layers[0],fe=[],pe=null,ze=!1;te.type===\"circle\"&&(pe=te.layout.get(\"circle-sort-key\"),ze=!pe.isConstant());for(let{feature:Ke,id:ut,index:Lt,sourceLayerIndex:Qt}of S){let fr=this.layers[0]._featureFilter.needGeometry,mr=Sl(Ke,fr);if(!this.layers[0]._featureFilter.filter(new is(this.zoom),mr,W))continue;let Lr=ze?pe.evaluate(mr,{},W):void 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of F)for(let pe of fe){let ze=pe.x,Ke=pe.y;if(ze<0||ze>=Ha||Ke<0||Ke>=Ha)continue;let ut=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray,S.sortKey),Lt=ut.vertexLength;bu(this.layoutVertexArray,ze,Ke,-1,-1),bu(this.layoutVertexArray,ze,Ke,1,-1),bu(this.layoutVertexArray,ze,Ke,1,1),bu(this.layoutVertexArray,ze,Ke,-1,1),this.indexArray.emplaceBack(Lt,Lt+1,Lt+2),this.indexArray.emplaceBack(Lt,Lt+3,Lt+2),ut.vertexLength+=4,ut.primitiveLength+=2}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,S,W,{},te)}}function Sc(R,S){for(let F=0;F<R.length;F++)if(Ni(S,R[F]))return!0;for(let F=0;F<S.length;F++)if(Ni(R,S[F]))return!0;return!!Ir(R,S)}function Ee(R,S,F){return!!Ni(R,S)||!!Br(S,R,F)}function xt(R,S){if(R.length===1)return mi(S,R[0]);for(let F=0;F<S.length;F++){let W=S[F];for(let te=0;te<W.length;te++)if(Ni(R,W[te]))return!0}for(let F=0;F<R.length;F++)if(mi(S,R[F]))return!0;for(let F=0;F<S.length;F++)if(Ir(R,S[F]))return!0;return!1}function 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oo(ce.paint_circle[\"circle-blur\"]),\"circle-opacity\":new oo(ce.paint_circle[\"circle-opacity\"]),\"circle-translate\":new Ua(ce.paint_circle[\"circle-translate\"]),\"circle-translate-anchor\":new Ua(ce.paint_circle[\"circle-translate-anchor\"]),\"circle-pitch-scale\":new Ua(ce.paint_circle[\"circle-pitch-scale\"]),\"circle-pitch-alignment\":new Ua(ce.paint_circle[\"circle-pitch-alignment\"]),\"circle-stroke-width\":new oo(ce.paint_circle[\"circle-stroke-width\"]),\"circle-stroke-color\":new oo(ce.paint_circle[\"circle-stroke-color\"]),\"circle-stroke-opacity\":new oo(ce.paint_circle[\"circle-stroke-opacity\"])})},get layout(){return ji=ji||new ue({\"circle-sort-key\":new oo(ce.layout_circle[\"circle-sort-key\"])})}},Yr=1e-6,xi=typeof Float32Array!=\"undefined\"?Float32Array:Array;function Ii(R){return R[0]=1,R[1]=0,R[2]=0,R[3]=0,R[4]=0,R[5]=1,R[6]=0,R[7]=0,R[8]=0,R[9]=0,R[10]=1,R[11]=0,R[12]=0,R[13]=0,R[14]=0,R[15]=1,R}function ci(R,S,F){var W=S[0],te=S[1],fe=S[2],pe=S[3],ze=S[4],Ke=S[5],ut=S[6],Lt=S[7],Qt=S[8],fr=S[9],mr=S[10],Lr=S[11],zr=S[12],ui=S[13],yi=S[14],dn=S[15],Fi=F[0],ln=F[1],An=F[2],pa=F[3];return R[0]=Fi*W+ln*ze+An*Qt+pa*zr,R[1]=Fi*te+ln*Ke+An*fr+pa*ui,R[2]=Fi*fe+ln*ut+An*mr+pa*yi,R[3]=Fi*pe+ln*Lt+An*Lr+pa*dn,R[4]=(Fi=F[4])*W+(ln=F[5])*ze+(An=F[6])*Qt+(pa=F[7])*zr,R[5]=Fi*te+ln*Ke+An*fr+pa*ui,R[6]=Fi*fe+ln*ut+An*mr+pa*yi,R[7]=Fi*pe+ln*Lt+An*Lr+pa*dn,R[8]=(Fi=F[8])*W+(ln=F[9])*ze+(An=F[10])*Qt+(pa=F[11])*zr,R[9]=Fi*te+ln*Ke+An*fr+pa*ui,R[10]=Fi*fe+ln*ut+An*mr+pa*yi,R[11]=Fi*pe+ln*Lt+An*Lr+pa*dn,R[12]=(Fi=F[12])*W+(ln=F[13])*ze+(An=F[14])*Qt+(pa=F[15])*zr,R[13]=Fi*te+ln*Ke+An*fr+pa*ui,R[14]=Fi*fe+ln*ut+An*mr+pa*yi,R[15]=Fi*pe+ln*Lt+An*Lr+pa*dn,R}Math.hypot||(Math.hypot=function(){for(var R=0,S=arguments.length;S--;)R+=arguments[S]*arguments[S];return Math.sqrt(R)});var nn,Xi=ci;function qn(R,S,F){var W=S[0],te=S[1],fe=S[2],pe=S[3];return R[0]=F[0]*W+F[4]*te+F[8]*fe+F[12]*pe,R[1]=F[1]*W+F[5]*te+F[9]*fe+F[13]*pe,R[2]=F[2]*W+F[6]*te+F[10]*fe+F[14]*pe,R[3]=F[3]*W+F[7]*te+F[11]*fe+F[15]*pe,R}nn=new xi(4),xi!=Float32Array&&(nn[0]=0,nn[1]=0,nn[2]=0,nn[3]=0);class vi extends B{constructor(S){super(S,Mr)}createBucket(S){return new vl(S)}queryRadius(S){let F=S;return Mi(\"circle-radius\",this,F)+Mi(\"circle-stroke-width\",this,F)+Hn(this.paint.get(\"circle-translate\"))}queryIntersectsFeature(S,F,W,te,fe,pe,ze,Ke){let ut=Qi(S,this.paint.get(\"circle-translate\"),this.paint.get(\"circle-translate-anchor\"),pe.angle,ze),Lt=this.paint.get(\"circle-radius\").evaluate(F,W)+this.paint.get(\"circle-stroke-width\").evaluate(F,W),Qt=this.paint.get(\"circle-pitch-alignment\")===\"map\",fr=Qt?ut:function(Lr,zr){return Lr.map(ui=>li(ui,zr))}(ut,Ke),mr=Qt?Lt*ze:Lt;for(let Lr of te)for(let zr of Lr){let ui=Qt?zr:li(zr,Ke),yi=mr,dn=qn([],[zr.x,zr.y,0,1],Ke);if(this.paint.get(\"circle-pitch-scale\")===\"viewport\"&&this.paint.get(\"circle-pitch-alignment\")===\"map\"?yi*=dn[3]/pe.cameraToCenterDistance:this.paint.get(\"circle-pitch-scale\")===\"map\"&&this.paint.get(\"circle-pitch-alignment\")===\"viewport\"&&(yi*=pe.cameraToCenterDistance/dn[3]),Ee(fr,ui,yi))return!0}return!1}}function li(R,S){let F=qn([],[R.x,R.y,0,1],S);return new u(F[0]/F[3],F[1]/F[3])}class mn extends vl{}let Ki;Di(\"HeatmapBucket\",mn,{omit:[\"layers\"]});var Ui={get paint(){return Ki=Ki||new ue({\"heatmap-radius\":new oo(ce.paint_heatmap[\"heatmap-radius\"]),\"heatmap-weight\":new oo(ce.paint_heatmap[\"heatmap-weight\"]),\"heatmap-intensity\":new Ua(ce.paint_heatmap[\"heatmap-intensity\"]),\"heatmap-color\":new Ku(ce.paint_heatmap[\"heatmap-color\"]),\"heatmap-opacity\":new Ua(ce.paint_heatmap[\"heatmap-opacity\"])})}};function Bi(R,{width:S,height:F},W,te){if(te){if(te instanceof Uint8ClampedArray)te=new Uint8Array(te.buffer);else if(te.length!==S*F*W)throw new RangeError(`mismatched image size. expected: ${te.length} but got: ${S*F*W}`)}else te=new Uint8Array(S*F*W);return R.width=S,R.height=F,R.data=te,R}function vn(R,{width:S,height:F},W){if(S===R.width&&F===R.height)return;let te=Bi({},{width:S,height:F},W);Un(R,te,{x:0,y:0},{x:0,y:0},{width:Math.min(R.width,S),height:Math.min(R.height,F)},W),R.width=S,R.height=F,R.data=te.data}function Un(R,S,F,W,te,fe){if(te.width===0||te.height===0)return S;if(te.width>R.width||te.height>R.height||F.x>R.width-te.width||F.y>R.height-te.height)throw new RangeError(\"out of range source coordinates for image copy\");if(te.width>S.width||te.height>S.height||W.x>S.width-te.width||W.y>S.height-te.height)throw new RangeError(\"out of range destination coordinates for image copy\");let pe=R.data,ze=S.data;if(pe===ze)throw new Error(\"srcData equals dstData, so image is already copied\");for(let Ke=0;Ke<te.height;Ke++){let ut=((F.y+Ke)*R.width+F.x)*fe,Lt=((W.y+Ke)*S.width+W.x)*fe;for(let Qt=0;Qt<te.width*fe;Qt++)ze[Lt+Qt]=pe[ut+Qt]}return S}class na{constructor(S,F){Bi(this,S,1,F)}resize(S){vn(this,S,1)}clone(){return new na({width:this.width,height:this.height},new Uint8Array(this.data))}static copy(S,F,W,te,fe){Un(S,F,W,te,fe,1)}}class Yi{constructor(S,F){Bi(this,S,4,F)}resize(S){vn(this,S,4)}replace(S,F){F?this.data.set(S):this.data=S instanceof Uint8ClampedArray?new Uint8Array(S.buffer):S}clone(){return new Yi({width:this.width,height:this.height},new Uint8Array(this.data))}static copy(S,F,W,te,fe){Un(S,F,W,te,fe,4)}}function Ln(R){let S={},F=R.resolution||256,W=R.clips?R.clips.length:1,te=R.image||new Yi({width:F,height:W});if(Math.log(F)/Math.LN2%1!=0)throw new Error(`width is not a power of 2 - ${F}`);let fe=(pe,ze,Ke)=>{S[R.evaluationKey]=Ke;let ut=R.expression.evaluate(S);te.data[pe+ze+0]=Math.floor(255*ut.r/ut.a),te.data[pe+ze+1]=Math.floor(255*ut.g/ut.a),te.data[pe+ze+2]=Math.floor(255*ut.b/ut.a),te.data[pe+ze+3]=Math.floor(255*ut.a)};if(R.clips)for(let pe=0,ze=0;pe<W;++pe,ze+=4*F)for(let Ke=0,ut=0;Ke<F;Ke++,ut+=4){let Lt=Ke/(F-1),{start:Qt,end:fr}=R.clips[pe];fe(ze,ut,Qt*(1-Lt)+fr*Lt)}else for(let pe=0,ze=0;pe<F;pe++,ze+=4)fe(0,ze,pe/(F-1));return te}Di(\"AlphaImage\",na),Di(\"RGBAImage\",Yi);let ra=\"big-fb\";class oa extends B{createBucket(S){return new mn(S)}constructor(S){super(S,Ui),this.heatmapFbos=new Map,this._updateColorRamp()}_handleSpecialPaintPropertyUpdate(S){S===\"heatmap-color\"&&this._updateColorRamp()}_updateColorRamp(){this.colorRamp=Ln({expression:this._transitionablePaint._values[\"heatmap-color\"].value.expression,evaluationKey:\"heatmapDensity\",image:this.colorRamp}),this.colorRampTexture=null}resize(){this.heatmapFbos.has(ra)&&this.heatmapFbos.delete(ra)}queryRadius(){return 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W=F.prev,te=F.next.next;!ne(W,te)&&we(W,F,F.next,te)&&Zt(W,te)&&Zt(te,W)&&(S.push(W.i,F.i,te.i),Ve(F),Ve(F.next),F=R=te),F=F.next}while(F!==R);return ol(F)}function Ta(R,S,F,W,te,fe){let pe=R;do{let ze=pe.next.next;for(;ze!==pe.prev;){if(pe.i!==ze.i&&K(pe,ze)){let Ke=hr(pe,ze);return pe=ol(pe,pe.next),Ke=ol(Ke,Ke.next),Ul(pe,S,F,W,te,fe,0),void Ul(Ke,S,F,W,te,fe,0)}ze=ze.next}pe=pe.next}while(pe!==R)}function sl(R,S){return R.x-S.x}function io(R,S){let F=function(te,fe){let pe=fe,ze=te.x,Ke=te.y,ut,Lt=-1/0;do{if(Ke<=pe.y&&Ke>=pe.next.y&&pe.next.y!==pe.y){let zr=pe.x+(Ke-pe.y)*(pe.next.x-pe.x)/(pe.next.y-pe.y);if(zr<=ze&&zr>Lt&&(Lt=zr,ut=pe.x<pe.next.x?pe:pe.next,zr===ze))return ut}pe=pe.next}while(pe!==fe);if(!ut)return null;let Qt=ut,fr=ut.x,mr=ut.y,Lr=1/0;pe=ut;do{if(ze>=pe.x&&pe.x>=fr&&ze!==pe.x&&q(Ke<mr?ze:Lt,Ke,fr,mr,Ke<mr?Lt:ze,Ke,pe.x,pe.y)){let 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Qt=this.layers[0]._featureFilter.needGeometry,fr=Sl(ze,Qt);if(!this.layers[0]._featureFilter.filter(new is(this.zoom),fr,W))continue;let mr=fe?te.evaluate(fr,{},W,F.availableImages):void 0,Lr={id:Ke,properties:ze.properties,type:ze.type,sourceLayerIndex:Lt,index:ut,geometry:Qt?fr.geometry:Qs(ze),patterns:{},sortKey:mr};pe.push(Lr)}fe&&pe.sort((ze,Ke)=>ze.sortKey-Ke.sortKey);for(let ze of pe){let{geometry:Ke,index:ut,sourceLayerIndex:Lt}=ze;if(this.hasPattern){let Qt=kt(\"fill\",this.layers,ze,this.zoom,F);this.patternFeatures.push(Qt)}else this.addFeature(ze,Ke,ut,W,{});F.featureIndex.insert(S[ut].feature,Ke,ut,Lt,this.index)}}update(S,F,W){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(S,F,this.stateDependentLayers,W)}addFeatures(S,F,W){for(let te of this.patternFeatures)this.addFeature(te,te.geometry,te.index,F,W)}isEmpty(){return 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Lr=this.segments2.prepareSegment(mr.length,this.layoutVertexArray,this.indexArray2),zr=Lr.vertexLength;this.layoutVertexArray.emplaceBack(mr[0].x,mr[0].y),this.indexArray2.emplaceBack(zr+mr.length-1,zr),Lt.push(mr[0].x),Lt.push(mr[0].y);for(let ui=1;ui<mr.length;ui++)this.layoutVertexArray.emplaceBack(mr[ui].x,mr[ui].y),this.indexArray2.emplaceBack(zr+ui-1,zr+ui),Lt.push(mr[ui].x),Lt.push(mr[ui].y);Lr.vertexLength+=mr.length,Lr.primitiveLength+=mr.length}let fr=zo(Lt,Qt);for(let mr=0;mr<fr.length;mr+=3)this.indexArray.emplaceBack(ut+fr[mr],ut+fr[mr+1],ut+fr[mr+2]);Ke.vertexLength+=ze,Ke.primitiveLength+=fr.length/3}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,S,W,fe,te)}}let It,Bt;Di(\"FillBucket\",Ot,{omit:[\"layers\",\"patternFeatures\"]});var Rt={get paint(){return Bt=Bt||new ue({\"fill-antialias\":new Ua(ce.paint_fill[\"fill-antialias\"]),\"fill-opacity\":new oo(ce.paint_fill[\"fill-opacity\"]),\"fill-color\":new oo(ce.paint_fill[\"fill-color\"]),\"fill-outline-color\":new oo(ce.paint_fill[\"fill-outline-color\"]),\"fill-translate\":new Ua(ce.paint_fill[\"fill-translate\"]),\"fill-translate-anchor\":new Ua(ce.paint_fill[\"fill-translate-anchor\"]),\"fill-pattern\":new Vc(ce.paint_fill[\"fill-pattern\"])})},get layout(){return It=It||new ue({\"fill-sort-key\":new oo(ce.layout_fill[\"fill-sort-key\"])})}};class mt extends B{constructor(S){super(S,Rt)}recalculate(S,F){super.recalculate(S,F);let W=this.paint._values[\"fill-outline-color\"];W.value.kind===\"constant\"&&W.value.value===void 0&&(this.paint._values[\"fill-outline-color\"]=this.paint._values[\"fill-color\"])}createBucket(S){return new Ot(S)}queryRadius(){return Hn(this.paint.get(\"fill-translate\"))}queryIntersectsFeature(S,F,W,te,fe,pe,ze){return xt(Qi(S,this.paint.get(\"fill-translate\"),this.paint.get(\"fill-translate-anchor\"),pe.angle,ze),te)}isTileClipped(){return!0}}let Pt=qe([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_normal_ed\",components:4,type:\"Int16\"}],4),ht=qe([{name:\"a_centroid\",components:2,type:\"Int16\"}],4),{members:cr}=Pt;var br={},Nr=s,Ri=hi;function hi(R,S,F,W,te){this.properties={},this.extent=F,this.type=0,this._pbf=R,this._geometry=-1,this._keys=W,this._values=te,R.readFields(wi,this,S)}function wi(R,S,F){R==1?S.id=F.readVarint():R==2?function(W,te){for(var fe=W.readVarint()+W.pos;W.pos<fe;){var pe=te._keys[W.readVarint()],ze=te._values[W.readVarint()];te.properties[pe]=ze}}(F,S):R==3?S.type=F.readVarint():R==4&&(S._geometry=F.pos)}function gn(R){for(var S,F,W=0,te=0,fe=R.length,pe=fe-1;te<fe;pe=te++)W+=((F=R[pe]).x-(S=R[te]).x)*(S.y+F.y);return W}hi.types=[\"Unknown\",\"Point\",\"LineString\",\"Polygon\"],hi.prototype.loadGeometry=function(){var R=this._pbf;R.pos=this._geometry;for(var S,F=R.readVarint()+R.pos,W=1,te=0,fe=0,pe=0,ze=[];R.pos<F;){if(te<=0){var Ke=R.readVarint();W=7&Ke,te=Ke>>3}if(te--,W===1||W===2)fe+=R.readSVarint(),pe+=R.readSVarint(),W===1&&(S&&ze.push(S),S=[]),S.push(new Nr(fe,pe));else{if(W!==7)throw new Error(\"unknown command \"+W);S&&S.push(S[0].clone())}}return S&&ze.push(S),ze},hi.prototype.bbox=function(){var R=this._pbf;R.pos=this._geometry;for(var S=R.readVarint()+R.pos,F=1,W=0,te=0,fe=0,pe=1/0,ze=-1/0,Ke=1/0,ut=-1/0;R.pos<S;){if(W<=0){var Lt=R.readVarint();F=7&Lt,W=Lt>>3}if(W--,F===1||F===2)(te+=R.readSVarint())<pe&&(pe=te),te>ze&&(ze=te),(fe+=R.readSVarint())<Ke&&(Ke=fe),fe>ut&&(ut=fe);else if(F!==7)throw new Error(\"unknown command \"+F)}return[pe,Ke,ze,ut]},hi.prototype.toGeoJSON=function(R,S,F){var W,te,fe=this.extent*Math.pow(2,F),pe=this.extent*R,ze=this.extent*S,Ke=this.loadGeometry(),ut=hi.types[this.type];function Lt(mr){for(var Lr=0;Lr<mr.length;Lr++){var zr=mr[Lr];mr[Lr]=[360*(zr.x+pe)/fe-180,360/Math.PI*Math.atan(Math.exp((180-360*(zr.y+ze)/fe)*Math.PI/180))-90]}}switch(this.type){case 1:var Qt=[];for(W=0;W<Ke.length;W++)Qt[W]=Ke[W][0];Lt(Ke=Qt);break;case 2:for(W=0;W<Ke.length;W++)Lt(Ke[W]);break;case 3:for(Ke=function(mr){var Lr=mr.length;if(Lr<=1)return[mr];for(var zr,ui,yi=[],dn=0;dn<Lr;dn++){var Fi=gn(mr[dn]);Fi!==0&&(ui===void 0&&(ui=Fi<0),ui===Fi<0?(zr&&yi.push(zr),zr=[mr[dn]]):zr.push(mr[dn]))}return zr&&yi.push(zr),yi}(Ke),W=0;W<Ke.length;W++)for(te=0;te<Ke[W].length;te++)Lt(Ke[W][te])}Ke.length===1?Ke=Ke[0]:ut=\"Multi\"+ut;var fr={type:\"Feature\",geometry:{type:ut,coordinates:Ke},properties:this.properties};return\"id\"in this&&(fr.id=this.id),fr};var tn=Ri,Ci=qi;function qi(R,S){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=R,this._keys=[],this._values=[],this._features=[],R.readFields(Vi,this,S),this.length=this._features.length}function Vi(R,S,F){R===15?S.version=F.readVarint():R===1?S.name=F.readString():R===5?S.extent=F.readVarint():R===2?S._features.push(F.pos):R===3?S._keys.push(F.readString()):R===4&&S._values.push(function(W){for(var te=null,fe=W.readVarint()+W.pos;W.pos<fe;){var pe=W.readVarint()>>3;te=pe===1?W.readString():pe===2?W.readFloat():pe===3?W.readDouble():pe===4?W.readVarint64():pe===5?W.readVarint():pe===6?W.readSVarint():pe===7?W.readBoolean():null}return te}(F))}qi.prototype.feature=function(R){if(R<0||R>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[R];var S=this._pbf.readVarint()+this._pbf.pos;return new tn(this._pbf,S,this.extent,this._keys,this._values)};var on=Ci;function On(R,S,F){if(R===3){var W=new on(F,F.readVarint()+F.pos);W.length&&(S[W.name]=W)}}br.VectorTile=function(R,S){this.layers=R.readFields(On,{},S)},br.VectorTileFeature=Ri,br.VectorTileLayer=Ci;let Ja=br.VectorTileFeature.types,co=Math.pow(2,13);function rs(R,S,F,W,te,fe,pe,ze){R.emplaceBack(S,F,2*Math.floor(W*co)+pe,te*co*2,fe*co*2,Math.round(ze))}class so{constructor(S){this.zoom=S.zoom,this.overscaling=S.overscaling,this.layers=S.layers,this.layerIds=this.layers.map(F=>F.id),this.index=S.index,this.hasPattern=!1,this.layoutVertexArray=new Nl,this.centroidVertexArray=new wo,this.indexArray=new se,this.programConfigurations=new Es(S.layers,S.zoom),this.segments=new Ye,this.stateDependentLayerIds=this.layers.filter(F=>F.isStateDependent()).map(F=>F.id)}populate(S,F,W){this.features=[],this.hasPattern=at(\"fill-extrusion\",this.layers,F);for(let{feature:te,id:fe,index:pe,sourceLayerIndex:ze}of S){let Ke=this.layers[0]._featureFilter.needGeometry,ut=Sl(te,Ke);if(!this.layers[0]._featureFilter.filter(new is(this.zoom),ut,W))continue;let Lt={id:fe,sourceLayerIndex:ze,index:pe,geometry:Ke?ut.geometry:Qs(te),properties:te.properties,type:te.type,patterns:{}};this.hasPattern?this.features.push(kt(\"fill-extrusion\",this.layers,Lt,this.zoom,F)):this.addFeature(Lt,Lt.geometry,pe,W,{}),F.featureIndex.insert(te,Lt.geometry,pe,ze,this.index,!0)}}addFeatures(S,F,W){for(let te of this.features){let{geometry:fe}=te;this.addFeature(te,fe,te.index,F,W)}}update(S,F,W){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(S,F,this.stateDependentLayers,W)}isEmpty(){return this.layoutVertexArray.length===0&&this.centroidVertexArray.length===0}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(S){this.uploaded||(this.layoutVertexBuffer=S.createVertexBuffer(this.layoutVertexArray,cr),this.centroidVertexBuffer=S.createVertexBuffer(this.centroidVertexArray,ht.members,!0),this.indexBuffer=S.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(S),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.centroidVertexBuffer.destroy())}addFeature(S,F,W,te,fe){for(let pe of Cf(F,500)){let ze={x:0,y:0,vertexCount:0},Ke=0;for(let Lr of pe)Ke+=Lr.length;let ut=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray);for(let Lr of pe){if(Lr.length===0||ys(Lr))continue;let zr=0;for(let ui=0;ui<Lr.length;ui++){let yi=Lr[ui];if(ui>=1){let dn=Lr[ui-1];if(!Zo(yi,dn)){ut.vertexLength+4>Ye.MAX_VERTEX_ARRAY_LENGTH&&(ut=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));let Fi=yi.sub(dn)._perp()._unit(),ln=dn.dist(yi);zr+ln>32768&&(zr=0),rs(this.layoutVertexArray,yi.x,yi.y,Fi.x,Fi.y,0,0,zr),rs(this.layoutVertexArray,yi.x,yi.y,Fi.x,Fi.y,0,1,zr),ze.x+=2*yi.x,ze.y+=2*yi.y,ze.vertexCount+=2,zr+=ln,rs(this.layoutVertexArray,dn.x,dn.y,Fi.x,Fi.y,0,0,zr),rs(this.layoutVertexArray,dn.x,dn.y,Fi.x,Fi.y,0,1,zr),ze.x+=2*dn.x,ze.y+=2*dn.y,ze.vertexCount+=2;let An=ut.vertexLength;this.indexArray.emplaceBack(An,An+2,An+1),this.indexArray.emplaceBack(An+1,An+2,An+3),ut.vertexLength+=4,ut.primitiveLength+=2}}}}if(ut.vertexLength+Ke>Ye.MAX_VERTEX_ARRAY_LENGTH&&(ut=this.segments.prepareSegment(Ke,this.layoutVertexArray,this.indexArray)),Ja[S.type]!==\"Polygon\")continue;let Lt=[],Qt=[],fr=ut.vertexLength;for(let Lr of pe)if(Lr.length!==0){Lr!==pe[0]&&Qt.push(Lt.length/2);for(let zr=0;zr<Lr.length;zr++){let ui=Lr[zr];rs(this.layoutVertexArray,ui.x,ui.y,0,0,1,1,0),ze.x+=ui.x,ze.y+=ui.y,ze.vertexCount+=1,Lt.push(ui.x),Lt.push(ui.y)}}let mr=zo(Lt,Qt);for(let Lr=0;Lr<mr.length;Lr+=3)this.indexArray.emplaceBack(fr+mr[Lr],fr+mr[Lr+2],fr+mr[Lr+1]);ut.primitiveLength+=mr.length/3,ut.vertexLength+=Ke;for(let Lr=0;Lr<ze.vertexCount;Lr++){let zr=Math.floor(ze.x/ze.vertexCount),ui=Math.floor(ze.y/ze.vertexCount);this.centroidVertexArray.emplaceBack(zr,ui)}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,S,W,fe,te)}}function Zo(R,S){return R.x===S.x&&(R.x<0||R.x>Ha)||R.y===S.y&&(R.y<0||R.y>Ha)}function ys(R){return R.every(S=>S.x<0)||R.every(S=>S.x>Ha)||R.every(S=>S.y<0)||R.every(S=>S.y>Ha)}let su;Di(\"FillExtrusionBucket\",so,{omit:[\"layers\",\"features\"]});var Mv={get paint(){return su=su||new ue({\"fill-extrusion-opacity\":new Ua(ce[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new oo(ce[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new Ua(ce[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new Ua(ce[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Vc(ce[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new oo(ce[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new oo(ce[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new Ua(ce[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})}};class Ev extends B{constructor(S){super(S,Mv)}createBucket(S){return new so(S)}queryRadius(){return Hn(this.paint.get(\"fill-extrusion-translate\"))}is3D(){return!0}queryIntersectsFeature(S,F,W,te,fe,pe,ze,Ke){let ut=Qi(S,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),pe.angle,ze),Lt=this.paint.get(\"fill-extrusion-height\").evaluate(F,W),Qt=this.paint.get(\"fill-extrusion-base\").evaluate(F,W),fr=function(Lr,zr,ui,yi){let dn=[];for(let Fi of Lr){let ln=[Fi.x,Fi.y,0,1];qn(ln,ln,zr),dn.push(new u(ln[0]/ln[3],ln[1]/ln[3]))}return dn}(ut,Ke),mr=function(Lr,zr,ui,yi){let dn=[],Fi=[],ln=yi[8]*zr,An=yi[9]*zr,pa=yi[10]*zr,ro=yi[11]*zr,Vo=yi[8]*ui,Xa=yi[9]*ui,sa=yi[10]*ui,Mo=yi[11]*ui;for(let fo of Lr){let lo=[],Xn=[];for(let Ro of fo){let uo=Ro.x,$o=Ro.y,Ju=yi[0]*uo+yi[4]*$o+yi[12],qu=yi[1]*uo+yi[5]*$o+yi[13],Th=yi[2]*uo+yi[6]*$o+yi[14],$v=yi[3]*uo+yi[7]*$o+yi[15],ld=Th+pa,Ah=$v+ro,Gd=Ju+Vo,Hd=qu+Xa,jd=Th+sa,Tf=$v+Mo,Sh=new u((Ju+ln)/Ah,(qu+An)/Ah);Sh.z=ld/Ah,lo.push(Sh);let Ed=new u(Gd/Tf,Hd/Tf);Ed.z=jd/Tf,Xn.push(Ed)}dn.push(lo),Fi.push(Xn)}return[dn,Fi]}(te,Qt,Lt,Ke);return function(Lr,zr,ui){let yi=1/0;xt(ui,zr)&&(yi=Yv(ui,zr[0]));for(let dn=0;dn<zr.length;dn++){let Fi=zr[dn],ln=Lr[dn];for(let An=0;An<Fi.length-1;An++){let pa=Fi[An],ro=[pa,Fi[An+1],ln[An+1],ln[An],pa];Sc(ui,ro)&&(yi=Math.min(yi,Yv(ui,ro)))}}return yi!==1/0&&yi}(mr[0],mr[1],fr)}}function wd(R,S){return R.x*S.x+R.y*S.y}function Yv(R,S){if(R.length===1){let F=0,W=S[F++],te;for(;!te||W.equals(te);)if(te=S[F++],!te)return 1/0;for(;F<S.length;F++){let fe=S[F],pe=R[0],ze=te.sub(W),Ke=fe.sub(W),ut=pe.sub(W),Lt=wd(ze,ze),Qt=wd(ze,Ke),fr=wd(Ke,Ke),mr=wd(ut,ze),Lr=wd(ut,Ke),zr=Lt*fr-Qt*Qt,ui=(fr*mr-Qt*Lr)/zr,yi=(Lt*Lr-Qt*mr)/zr,dn=W.z*(1-ui-yi)+te.z*ui+fe.z*yi;if(isFinite(dn))return dn}return 1/0}{let F=1/0;for(let W of S)F=Math.min(F,W.z);return F}}let cg=qe([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4),{members:dp}=cg,Td=qe([{name:\"a_uv_x\",components:1,type:\"Float32\"},{name:\"a_split_index\",components:1,type:\"Float32\"}]),{members:vp}=Td,Vd=br.VectorTileFeature.types,Ad=Math.cos(Math.PI/180*37.5),Cv=Math.pow(2,14)/.5;class Kv{constructor(S){this.zoom=S.zoom,this.overscaling=S.overscaling,this.layers=S.layers,this.layerIds=this.layers.map(F=>F.id),this.index=S.index,this.hasPattern=!1,this.patternFeatures=[],this.lineClipsArray=[],this.gradients={},this.layers.forEach(F=>{this.gradients[F.id]={}}),this.layoutVertexArray=new Lu,this.layoutVertexArray2=new ou,this.indexArray=new se,this.programConfigurations=new Es(S.layers,S.zoom),this.segments=new Ye,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter(F=>F.isStateDependent()).map(F=>F.id)}populate(S,F,W){this.hasPattern=at(\"line\",this.layers,F);let te=this.layers[0].layout.get(\"line-sort-key\"),fe=!te.isConstant(),pe=[];for(let{feature:ze,id:Ke,index:ut,sourceLayerIndex:Lt}of S){let Qt=this.layers[0]._featureFilter.needGeometry,fr=Sl(ze,Qt);if(!this.layers[0]._featureFilter.filter(new is(this.zoom),fr,W))continue;let mr=fe?te.evaluate(fr,{},W):void 0,Lr={id:Ke,properties:ze.properties,type:ze.type,sourceLayerIndex:Lt,index:ut,geometry:Qt?fr.geometry:Qs(ze),patterns:{},sortKey:mr};pe.push(Lr)}fe&&pe.sort((ze,Ke)=>ze.sortKey-Ke.sortKey);for(let ze of pe){let{geometry:Ke,index:ut,sourceLayerIndex:Lt}=ze;if(this.hasPattern){let Qt=kt(\"line\",this.layers,ze,this.zoom,F);this.patternFeatures.push(Qt)}else this.addFeature(ze,Ke,ut,W,{});F.featureIndex.insert(S[ut].feature,Ke,ut,Lt,this.index)}}update(S,F,W){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(S,F,this.stateDependentLayers,W)}addFeatures(S,F,W){for(let te of this.patternFeatures)this.addFeature(te,te.geometry,te.index,F,W)}isEmpty(){return this.layoutVertexArray.length===0}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(S){this.uploaded||(this.layoutVertexArray2.length!==0&&(this.layoutVertexBuffer2=S.createVertexBuffer(this.layoutVertexArray2,vp)),this.layoutVertexBuffer=S.createVertexBuffer(this.layoutVertexArray,dp),this.indexBuffer=S.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(S),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())}lineFeatureClips(S){if(S.properties&&Object.prototype.hasOwnProperty.call(S.properties,\"mapbox_clip_start\")&&Object.prototype.hasOwnProperty.call(S.properties,\"mapbox_clip_end\"))return{start:+S.properties.mapbox_clip_start,end:+S.properties.mapbox_clip_end}}addFeature(S,F,W,te,fe){let pe=this.layers[0].layout,ze=pe.get(\"line-join\").evaluate(S,{}),Ke=pe.get(\"line-cap\"),ut=pe.get(\"line-miter-limit\"),Lt=pe.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(S);for(let Qt of F)this.addLine(Qt,S,ze,Ke,ut,Lt);this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,S,W,fe,te)}addLine(S,F,W,te,fe,pe){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(let yi=0;yi<S.length-1;yi++)this.totalDistance+=S[yi].dist(S[yi+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}let ze=Vd[F.type]===\"Polygon\",Ke=S.length;for(;Ke>=2&&S[Ke-1].equals(S[Ke-2]);)Ke--;let ut=0;for(;ut<Ke-1&&S[ut].equals(S[ut+1]);)ut++;if(Ke<(ze?3:2))return;W===\"bevel\"&&(fe=1.05);let Lt=this.overscaling<=16?15*Ha/(512*this.overscaling):0,Qt=this.segments.prepareSegment(10*Ke,this.layoutVertexArray,this.indexArray),fr,mr,Lr,zr,ui;this.e1=this.e2=-1,ze&&(fr=S[Ke-2],ui=S[ut].sub(fr)._unit()._perp());for(let yi=ut;yi<Ke;yi++){if(Lr=yi===Ke-1?ze?S[ut+1]:void 0:S[yi+1],Lr&&S[yi].equals(Lr))continue;ui&&(zr=ui),fr&&(mr=fr),fr=S[yi],ui=Lr?Lr.sub(fr)._unit()._perp():zr,zr=zr||ui;let dn=zr.add(ui);dn.x===0&&dn.y===0||dn._unit();let Fi=zr.x*ui.x+zr.y*ui.y,ln=dn.x*ui.x+dn.y*ui.y,An=ln!==0?1/ln:1/0,pa=2*Math.sqrt(2-2*ln),ro=ln<Ad&&mr&&Lr,Vo=zr.x*ui.y-zr.y*ui.x>0;if(ro&&yi>ut){let Mo=fr.dist(mr);if(Mo>2*Lt){let fo=fr.sub(fr.sub(mr)._mult(Lt/Mo)._round());this.updateDistance(mr,fo),this.addCurrentVertex(fo,zr,0,0,Qt),mr=fo}}let Xa=mr&&Lr,sa=Xa?W:ze?\"butt\":te;if(Xa&&sa===\"round\"&&(An<pe?sa=\"miter\":An<=2&&(sa=\"fakeround\")),sa===\"miter\"&&An>fe&&(sa=\"bevel\"),sa===\"bevel\"&&(An>2&&(sa=\"flipbevel\"),An<fe&&(sa=\"miter\")),mr&&this.updateDistance(mr,fr),sa===\"miter\")dn._mult(An),this.addCurrentVertex(fr,dn,0,0,Qt);else if(sa===\"flipbevel\"){if(An>100)dn=ui.mult(-1);else{let Mo=An*zr.add(ui).mag()/zr.sub(ui).mag();dn._perp()._mult(Mo*(Vo?-1:1))}this.addCurrentVertex(fr,dn,0,0,Qt),this.addCurrentVertex(fr,dn.mult(-1),0,0,Qt)}else if(sa===\"bevel\"||sa===\"fakeround\"){let Mo=-Math.sqrt(An*An-1),fo=Vo?Mo:0,lo=Vo?0:Mo;if(mr&&this.addCurrentVertex(fr,zr,fo,lo,Qt),sa===\"fakeround\"){let Xn=Math.round(180*pa/Math.PI/20);for(let Ro=1;Ro<Xn;Ro++){let uo=Ro/Xn;if(uo!==.5){let Ju=uo-.5;uo+=uo*Ju*(uo-1)*((1.0904+Fi*(Fi*(3.55645-1.43519*Fi)-3.2452))*Ju*Ju+(.848013+Fi*(.215638*Fi-1.06021)))}let $o=ui.sub(zr)._mult(uo)._add(zr)._unit()._mult(Vo?-1:1);this.addHalfVertex(fr,$o.x,$o.y,!1,Vo,0,Qt)}}Lr&&this.addCurrentVertex(fr,ui,-fo,-lo,Qt)}else if(sa===\"butt\")this.addCurrentVertex(fr,dn,0,0,Qt);else if(sa===\"square\"){let Mo=mr?1:-1;this.addCurrentVertex(fr,dn,Mo,Mo,Qt)}else sa===\"round\"&&(mr&&(this.addCurrentVertex(fr,zr,0,0,Qt),this.addCurrentVertex(fr,zr,1,1,Qt,!0)),Lr&&(this.addCurrentVertex(fr,ui,-1,-1,Qt,!0),this.addCurrentVertex(fr,ui,0,0,Qt)));if(ro&&yi<Ke-1){let Mo=fr.dist(Lr);if(Mo>2*Lt){let fo=fr.add(Lr.sub(fr)._mult(Lt/Mo)._round());this.updateDistance(fr,fo),this.addCurrentVertex(fo,ui,0,0,Qt),fr=fo}}}}addCurrentVertex(S,F,W,te,fe,pe=!1){let ze=F.y*te-F.x,Ke=-F.y-F.x*te;this.addHalfVertex(S,F.x+F.y*W,F.y-F.x*W,pe,!1,W,fe),this.addHalfVertex(S,ze,Ke,pe,!0,-te,fe),this.distance>Cv/2&&this.totalDistance===0&&(this.distance=0,this.updateScaledDistance(),this.addCurrentVertex(S,F,W,te,fe,pe))}addHalfVertex({x:S,y:F},W,te,fe,pe,ze,Ke){let ut=.5*(this.lineClips?this.scaledDistance*(Cv-1):this.scaledDistance);this.layoutVertexArray.emplaceBack((S<<1)+(fe?1:0),(F<<1)+(pe?1:0),Math.round(63*W)+128,Math.round(63*te)+128,1+(ze===0?0:ze<0?-1:1)|(63&ut)<<2,ut>>6),this.lineClips&&this.layoutVertexArray2.emplaceBack((this.scaledDistance-this.lineClips.start)/(this.lineClips.end-this.lineClips.start),this.lineClipsArray.length);let Lt=Ke.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,Lt),Ke.primitiveLength++),pe?this.e2=Lt:this.e1=Lt}updateScaledDistance(){this.scaledDistance=this.lineClips?this.lineClips.start+(this.lineClips.end-this.lineClips.start)*this.distance/this.totalDistance:this.distance}updateDistance(S,F){this.distance+=S.dist(F),this.updateScaledDistance()}}let kv,ny;Di(\"LineBucket\",Kv,{omit:[\"layers\",\"patternFeatures\"]});var fg={get paint(){return ny=ny||new ue({\"line-opacity\":new oo(ce.paint_line[\"line-opacity\"]),\"line-color\":new oo(ce.paint_line[\"line-color\"]),\"line-translate\":new Ua(ce.paint_line[\"line-translate\"]),\"line-translate-anchor\":new Ua(ce.paint_line[\"line-translate-anchor\"]),\"line-width\":new oo(ce.paint_line[\"line-width\"]),\"line-gap-width\":new oo(ce.paint_line[\"line-gap-width\"]),\"line-offset\":new oo(ce.paint_line[\"line-offset\"]),\"line-blur\":new oo(ce.paint_line[\"line-blur\"]),\"line-dasharray\":new hc(ce.paint_line[\"line-dasharray\"]),\"line-pattern\":new Vc(ce.paint_line[\"line-pattern\"]),\"line-gradient\":new Ku(ce.paint_line[\"line-gradient\"])})},get layout(){return kv=kv||new ue({\"line-cap\":new Ua(ce.layout_line[\"line-cap\"]),\"line-join\":new oo(ce.layout_line[\"line-join\"]),\"line-miter-limit\":new Ua(ce.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new Ua(ce.layout_line[\"line-round-limit\"]),\"line-sort-key\":new oo(ce.layout_line[\"line-sort-key\"])})}};class oh extends oo{possiblyEvaluate(S,F){return F=new is(Math.floor(F.zoom),{now:F.now,fadeDuration:F.fadeDuration,zoomHistory:F.zoomHistory,transition:F.transition}),super.possiblyEvaluate(S,F)}evaluate(S,F,W,te){return F=L({},F,{zoom:Math.floor(F.zoom)}),super.evaluate(S,F,W,te)}}let hg;class ay extends B{constructor(S){super(S,fg),this.gradientVersion=0,hg||(hg=new oh(fg.paint.properties[\"line-width\"].specification),hg.useIntegerZoom=!0)}_handleSpecialPaintPropertyUpdate(S){if(S===\"line-gradient\"){let F=this.gradientExpression();this.stepInterpolant=!!function(W){return W._styleExpression!==void 0}(F)&&F._styleExpression.expression instanceof _n,this.gradientVersion=(this.gradientVersion+1)%Number.MAX_SAFE_INTEGER}}gradientExpression(){return this._transitionablePaint._values[\"line-gradient\"].value.expression}recalculate(S,F){super.recalculate(S,F),this.paint._values[\"line-floorwidth\"]=hg.possiblyEvaluate(this._transitioningPaint._values[\"line-width\"].value,S)}createBucket(S){return new Kv(S)}queryRadius(S){let 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An)if(pa.positionedGlyphs.length!==0)return!1;return!0}(Fi)&&ln}let Lw={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},V9={10:!0,32:!0,38:!0,41:!0,43:!0,45:!0,47:!0,173:!0,183:!0,8203:!0,8208:!0,8211:!0,8231:!0},G9={40:!0};function _k(R,S,F,W,te,fe){if(S.imageName){let pe=W[S.imageName];return pe?pe.displaySize[0]*S.scale*eu/fe+te:0}{let pe=F[S.fontStack],ze=pe&&pe[R];return ze?ze.metrics.advance*S.scale+te:0}}function xk(R,S,F,W){let te=Math.pow(R-S,2);return W?R<S?te/2:2*te:te+Math.abs(F)*F}function H9(R,S,F){let W=0;return R===10&&(W-=1e4),F&&(W+=150),R!==40&&R!==65288||(W+=50),S!==41&&S!==65289||(W+=50),W}function Pw(R,S,F,W,te,fe){let pe=null,ze=xk(S,F,te,fe);for(let Ke of W){let ut=xk(S-Ke.x,F,te,fe)+Ke.badness;ut<=ze&&(pe=Ke,ze=ut)}return{index:R,x:S,priorBreak:pe,badness:ze}}function bk(R){return R?bk(R.priorBreak).concat(R.index):[]}function M1(R,S,F,W,te,fe){if(!R)return[];let pe=[],ze=function(Qt,fr,mr,Lr,zr,ui){let yi=0;for(let dn=0;dn<Qt.length();dn++){let 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S=.5,F=.5;switch(R){case\"right\":case\"top-right\":case\"bottom-right\":S=1;break;case\"left\":case\"top-left\":case\"bottom-left\":S=0}switch(R){case\"bottom\":case\"bottom-right\":case\"bottom-left\":F=1;break;case\"top\":case\"top-right\":case\"top-left\":F=0}return{horizontalAlign:S,verticalAlign:F}}function sm(R,S,F,W,te){if(!W&&!te)return;let fe=R[F],pe=(R[F].x+fe.metrics.advance*fe.scale)*W;for(let ze=S;ze<=F;ze++)R[ze].x-=pe,R[ze].y+=te}function jx(R,S,F){let{horizontalAlign:W,verticalAlign:te}=Iw(F),fe=S[0]-R.displaySize[0]*W,pe=S[1]-R.displaySize[1]*te;return{image:R,top:pe,bottom:pe+R.displaySize[1],left:fe,right:fe+R.displaySize[0]}}function wk(R){var S,F;let W=R.left,te=R.top,fe=R.right-W,pe=R.bottom-te,ze=(S=R.image.textFitWidth)!==null&&S!==void 0?S:\"stretchOrShrink\",Ke=(F=R.image.textFitHeight)!==null&&F!==void 0?F:\"stretchOrShrink\",ut=(R.image.content[2]-R.image.content[0])/(R.image.content[3]-R.image.content[1]);if(Ke===\"proportional\"){if(ze===\"stretchOnly\"&&fe/pe<ut||ze===\"proportional\"){let Lt=Math.ceil(pe*ut);W*=Lt/fe,fe=Lt}}else if(ze===\"proportional\"&&Ke===\"stretchOnly\"&&ut!==0&&fe/pe>ut){let Lt=Math.ceil(fe/ut);te*=Lt/pe,pe=Lt}return{x1:W,y1:te,x2:W+fe,y2:te+pe}}function Tk(R,S,F,W,te,fe){let pe=R.image,ze;if(pe.content){let ui=pe.content,yi=pe.pixelRatio||1;ze=[ui[0]/yi,ui[1]/yi,pe.displaySize[0]-ui[2]/yi,pe.displaySize[1]-ui[3]/yi]}let Ke=S.left*fe,ut=S.right*fe,Lt,Qt,fr,mr;F===\"width\"||F===\"both\"?(mr=te[0]+Ke-W[3],Qt=te[0]+ut+W[1]):(mr=te[0]+(Ke+ut-pe.displaySize[0])/2,Qt=mr+pe.displaySize[0]);let Lr=S.top*fe,zr=S.bottom*fe;return F===\"height\"||F===\"both\"?(Lt=te[1]+Lr-W[0],fr=te[1]+zr+W[2]):(Lt=te[1]+(Lr+zr-pe.displaySize[1])/2,fr=Lt+pe.displaySize[1]),{image:pe,top:Lt,right:Qt,bottom:fr,left:mr,collisionPadding:ze}}let Wx=255,v0=128,lm=Wx*v0;function Ak(R,S){let{expression:F}=S;if(F.kind===\"constant\")return{kind:\"constant\",layoutSize:F.evaluate(new is(R+1))};if(F.kind===\"source\")return{kind:\"source\"};{let{zoomStops:W,interpolationType:te}=F,fe=0;for(;fe<W.length&&W[fe]<=R;)fe++;fe=Math.max(0,fe-1);let pe=fe;for(;pe<W.length&&W[pe]<R+1;)pe++;pe=Math.min(W.length-1,pe);let ze=W[fe],Ke=W[pe];return F.kind===\"composite\"?{kind:\"composite\",minZoom:ze,maxZoom:Ke,interpolationType:te}:{kind:\"camera\",minZoom:ze,maxZoom:Ke,minSize:F.evaluate(new is(ze)),maxSize:F.evaluate(new is(Ke)),interpolationType:te}}}function nS(R,S,F){let W=\"never\",te=R.get(S);return te?W=te:R.get(F)&&(W=\"always\"),W}let j9=br.VectorTileFeature.types,W9=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function Rw(R,S,F,W,te,fe,pe,ze,Ke,ut,Lt,Qt,fr){let mr=ze?Math.min(lm,Math.round(ze[0])):0,Lr=ze?Math.min(lm,Math.round(ze[1])):0;R.emplaceBack(S,F,Math.round(32*W),Math.round(32*te),fe,pe,(mr<<1)+(Ke?1:0),Lr,16*ut,16*Lt,256*Qt,256*fr)}function aS(R,S,F){R.emplaceBack(S.x,S.y,F),R.emplaceBack(S.x,S.y,F),R.emplaceBack(S.x,S.y,F),R.emplaceBack(S.x,S.y,F)}function oS(R){for(let S of R.sections)if(no(S.text))return!0;return!1}class sS{constructor(S){this.layoutVertexArray=new Ql,this.indexArray=new se,this.programConfigurations=S,this.segments=new Ye,this.dynamicLayoutVertexArray=new dc,this.opacityVertexArray=new Tl,this.hasVisibleVertices=!1,this.placedSymbolArray=new Aa}isEmpty(){return this.layoutVertexArray.length===0&&this.indexArray.length===0&&this.dynamicLayoutVertexArray.length===0&&this.opacityVertexArray.length===0}upload(S,F,W,te){this.isEmpty()||(W&&(this.layoutVertexBuffer=S.createVertexBuffer(this.layoutVertexArray,rm.members),this.indexBuffer=S.createIndexBuffer(this.indexArray,F),this.dynamicLayoutVertexBuffer=S.createVertexBuffer(this.dynamicLayoutVertexArray,w1.members,!0),this.opacityVertexBuffer=S.createVertexBuffer(this.opacityVertexArray,W9,!0),this.opacityVertexBuffer.itemSize=1),(W||te)&&this.programConfigurations.upload(S))}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())}}Di(\"SymbolBuffers\",sS);class um{constructor(S,F,W){this.layoutVertexArray=new S,this.layoutAttributes=F,this.indexArray=new W,this.segments=new Ye,this.collisionVertexArray=new X}upload(S){this.layoutVertexBuffer=S.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=S.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=S.createVertexBuffer(this.collisionVertexArray,T1.members,!0)}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())}}Di(\"CollisionBuffers\",um);class E1{constructor(S){this.collisionBoxArray=S.collisionBoxArray,this.zoom=S.zoom,this.overscaling=S.overscaling,this.layers=S.layers,this.layerIds=this.layers.map(pe=>pe.id),this.index=S.index,this.pixelRatio=S.pixelRatio,this.sourceLayerIndex=S.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=Ii([]),this.placementViewportMatrix=Ii([]);let F=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Ak(this.zoom,F[\"text-size\"]),this.iconSizeData=Ak(this.zoom,F[\"icon-size\"]);let W=this.layers[0].layout,te=W.get(\"symbol-sort-key\"),fe=W.get(\"symbol-z-order\");this.canOverlap=nS(W,\"text-overlap\",\"text-allow-overlap\")!==\"never\"||nS(W,\"icon-overlap\",\"icon-allow-overlap\")!==\"never\"||W.get(\"text-ignore-placement\")||W.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=fe!==\"viewport-y\"&&!te.isConstant(),this.sortFeaturesByY=(fe===\"viewport-y\"||fe===\"auto\"&&!this.sortFeaturesByKey)&&this.canOverlap,W.get(\"symbol-placement\")===\"point\"&&(this.writingModes=W.get(\"text-writing-mode\").map(pe=>i.ah[pe])),this.stateDependentLayerIds=this.layers.filter(pe=>pe.isStateDependent()).map(pe=>pe.id),this.sourceID=S.sourceID}createArrays(){this.text=new sS(new Es(this.layers,this.zoom,S=>/^text/.test(S))),this.icon=new sS(new Es(this.layers,this.zoom,S=>/^icon/.test(S))),this.glyphOffsetArray=new ko,this.lineVertexArray=new Qa,this.symbolInstances=new $a,this.textAnchorOffsets=new Bo}calculateGlyphDependencies(S,F,W,te,fe){for(let pe=0;pe<S.length;pe++)if(F[S.charCodeAt(pe)]=!0,(W||te)&&fe){let ze=vc[S.charAt(pe)];ze&&(F[ze.charCodeAt(0)]=!0)}}populate(S,F,W){let te=this.layers[0],fe=te.layout,pe=fe.get(\"text-font\"),ze=fe.get(\"text-field\"),Ke=fe.get(\"icon-image\"),ut=(ze.value.kind!==\"constant\"||ze.value.value instanceof ri&&!ze.value.value.isEmpty()||ze.value.value.toString().length>0)&&(pe.value.kind!==\"constant\"||pe.value.value.length>0),Lt=Ke.value.kind!==\"constant\"||!!Ke.value.value||Object.keys(Ke.parameters).length>0,Qt=fe.get(\"symbol-sort-key\");if(this.features=[],!ut&&!Lt)return;let fr=F.iconDependencies,mr=F.glyphDependencies,Lr=F.availableImages,zr=new is(this.zoom);for(let{feature:ui,id:yi,index:dn,sourceLayerIndex:Fi}of S){let ln=te._featureFilter.needGeometry,An=Sl(ui,ln);if(!te._featureFilter.filter(zr,An,W))continue;let pa,ro;if(ln||(An.geometry=Qs(ui)),ut){let Xa=te.getValueAndResolveTokens(\"text-field\",An,W,Lr),sa=ri.factory(Xa),Mo=this.hasRTLText=this.hasRTLText||oS(sa);(!Mo||_s.getRTLTextPluginStatus()===\"unavailable\"||Mo&&_s.isParsed())&&(pa=nm(sa,te,An))}if(Lt){let Xa=te.getValueAndResolveTokens(\"icon-image\",An,W,Lr);ro=Xa instanceof en?Xa:en.fromString(Xa)}if(!pa&&!ro)continue;let Vo=this.sortFeaturesByKey?Qt.evaluate(An,{},W):void 0;if(this.features.push({id:yi,text:pa,icon:ro,index:dn,sourceLayerIndex:Fi,geometry:An.geometry,properties:ui.properties,type:j9[ui.type],sortKey:Vo}),ro&&(fr[ro.name]=!0),pa){let Xa=pe.evaluate(An,{},W).join(\",\"),sa=fe.get(\"text-rotation-alignment\")!==\"viewport\"&&fe.get(\"symbol-placement\")!==\"point\";this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(i.ah.vertical)>=0;for(let Mo of pa.sections)if(Mo.image)fr[Mo.image.name]=!0;else{let fo=Ka(pa.toString()),lo=Mo.fontStack||Xa,Xn=mr[lo]=mr[lo]||{};this.calculateGlyphDependencies(Mo.text,Xn,sa,this.allowVerticalPlacement,fo)}}}fe.get(\"symbol-placement\")===\"line\"&&(this.features=function(ui){let yi={},dn={},Fi=[],ln=0;function An(Xa){Fi.push(ui[Xa]),ln++}function pa(Xa,sa,Mo){let fo=dn[Xa];return delete dn[Xa],dn[sa]=fo,Fi[fo].geometry[0].pop(),Fi[fo].geometry[0]=Fi[fo].geometry[0].concat(Mo[0]),fo}function ro(Xa,sa,Mo){let fo=yi[sa];return delete yi[sa],yi[Xa]=fo,Fi[fo].geometry[0].shift(),Fi[fo].geometry[0]=Mo[0].concat(Fi[fo].geometry[0]),fo}function Vo(Xa,sa,Mo){let fo=Mo?sa[0][sa[0].length-1]:sa[0][0];return`${Xa}:${fo.x}:${fo.y}`}for(let Xa=0;Xa<ui.length;Xa++){let sa=ui[Xa],Mo=sa.geometry,fo=sa.text?sa.text.toString():null;if(!fo){An(Xa);continue}let lo=Vo(fo,Mo),Xn=Vo(fo,Mo,!0);if(lo in dn&&Xn in yi&&dn[lo]!==yi[Xn]){let Ro=ro(lo,Xn,Mo),uo=pa(lo,Xn,Fi[Ro].geometry);delete yi[lo],delete dn[Xn],dn[Vo(fo,Fi[uo].geometry,!0)]=uo,Fi[Ro].geometry=null}else lo in dn?pa(lo,Xn,Mo):Xn in yi?ro(lo,Xn,Mo):(An(Xa),yi[lo]=ln-1,dn[Xn]=ln-1)}return Fi.filter(Xa=>Xa.geometry)}(this.features)),this.sortFeaturesByKey&&this.features.sort((ui,yi)=>ui.sortKey-yi.sortKey)}update(S,F,W){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(S,F,this.layers,W),this.icon.programConfigurations.updatePaintArrays(S,F,this.layers,W))}isEmpty(){return this.symbolInstances.length===0&&!this.hasRTLText}uploadPending(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload}upload(S){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(S),this.iconCollisionBox.upload(S)),this.text.upload(S,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(S,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(S,F){let W=this.lineVertexArray.length;if(S.segment!==void 0){let te=S.dist(F[S.segment+1]),fe=S.dist(F[S.segment]),pe={};for(let ze=S.segment+1;ze<F.length;ze++)pe[ze]={x:F[ze].x,y:F[ze].y,tileUnitDistanceFromAnchor:te},ze<F.length-1&&(te+=F[ze+1].dist(F[ze]));for(let ze=S.segment||0;ze>=0;ze--)pe[ze]={x:F[ze].x,y:F[ze].y,tileUnitDistanceFromAnchor:fe},ze>0&&(fe+=F[ze-1].dist(F[ze]));for(let ze=0;ze<F.length;ze++){let Ke=pe[ze];this.lineVertexArray.emplaceBack(Ke.x,Ke.y,Ke.tileUnitDistanceFromAnchor)}}return{lineStartIndex:W,lineLength:this.lineVertexArray.length-W}}addSymbols(S,F,W,te,fe,pe,ze,Ke,ut,Lt,Qt,fr){let mr=S.indexArray,Lr=S.layoutVertexArray,zr=S.segments.prepareSegment(4*F.length,Lr,mr,this.canOverlap?pe.sortKey:void 0),ui=this.glyphOffsetArray.length,yi=zr.vertexLength,dn=this.allowVerticalPlacement&&ze===i.ah.vertical?Math.PI/2:0,Fi=pe.text&&pe.text.sections;for(let ln=0;ln<F.length;ln++){let{tl:An,tr:pa,bl:ro,br:Vo,tex:Xa,pixelOffsetTL:sa,pixelOffsetBR:Mo,minFontScaleX:fo,minFontScaleY:lo,glyphOffset:Xn,isSDF:Ro,sectionIndex:uo}=F[ln],$o=zr.vertexLength,Ju=Xn[1];Rw(Lr,Ke.x,Ke.y,An.x,Ju+An.y,Xa.x,Xa.y,W,Ro,sa.x,sa.y,fo,lo),Rw(Lr,Ke.x,Ke.y,pa.x,Ju+pa.y,Xa.x+Xa.w,Xa.y,W,Ro,Mo.x,sa.y,fo,lo),Rw(Lr,Ke.x,Ke.y,ro.x,Ju+ro.y,Xa.x,Xa.y+Xa.h,W,Ro,sa.x,Mo.y,fo,lo),Rw(Lr,Ke.x,Ke.y,Vo.x,Ju+Vo.y,Xa.x+Xa.w,Xa.y+Xa.h,W,Ro,Mo.x,Mo.y,fo,lo),aS(S.dynamicLayoutVertexArray,Ke,dn),mr.emplaceBack($o,$o+1,$o+2),mr.emplaceBack($o+1,$o+2,$o+3),zr.vertexLength+=4,zr.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(Xn[0]),ln!==F.length-1&&uo===F[ln+1].sectionIndex||S.programConfigurations.populatePaintArrays(Lr.length,pe,pe.index,{},fr,Fi&&Fi[uo])}S.placedSymbolArray.emplaceBack(Ke.x,Ke.y,ui,this.glyphOffsetArray.length-ui,yi,ut,Lt,Ke.segment,W?W[0]:0,W?W[1]:0,te[0],te[1],ze,0,!1,0,Qt)}_addCollisionDebugVertex(S,F,W,te,fe,pe){return F.emplaceBack(0,0),S.emplaceBack(W.x,W.y,te,fe,Math.round(pe.x),Math.round(pe.y))}addCollisionDebugVertices(S,F,W,te,fe,pe,ze){let Ke=fe.segments.prepareSegment(4,fe.layoutVertexArray,fe.indexArray),ut=Ke.vertexLength,Lt=fe.layoutVertexArray,Qt=fe.collisionVertexArray,fr=ze.anchorX,mr=ze.anchorY;this._addCollisionDebugVertex(Lt,Qt,pe,fr,mr,new u(S,F)),this._addCollisionDebugVertex(Lt,Qt,pe,fr,mr,new u(W,F)),this._addCollisionDebugVertex(Lt,Qt,pe,fr,mr,new u(W,te)),this._addCollisionDebugVertex(Lt,Qt,pe,fr,mr,new u(S,te)),Ke.vertexLength+=4;let Lr=fe.indexArray;Lr.emplaceBack(ut,ut+1),Lr.emplaceBack(ut+1,ut+2),Lr.emplaceBack(ut+2,ut+3),Lr.emplaceBack(ut+3,ut),Ke.primitiveLength+=4}addDebugCollisionBoxes(S,F,W,te){for(let fe=S;fe<F;fe++){let pe=this.collisionBoxArray.get(fe);this.addCollisionDebugVertices(pe.x1,pe.y1,pe.x2,pe.y2,te?this.textCollisionBox:this.iconCollisionBox,pe.anchorPoint,W)}}generateCollisionDebugBuffers(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new um(Al,oy.members,Te),this.iconCollisionBox=new um(Al,oy.members,Te);for(let S=0;S<this.symbolInstances.length;S++){let F=this.symbolInstances.get(S);this.addDebugCollisionBoxes(F.textBoxStartIndex,F.textBoxEndIndex,F,!0),this.addDebugCollisionBoxes(F.verticalTextBoxStartIndex,F.verticalTextBoxEndIndex,F,!0),this.addDebugCollisionBoxes(F.iconBoxStartIndex,F.iconBoxEndIndex,F,!1),this.addDebugCollisionBoxes(F.verticalIconBoxStartIndex,F.verticalIconBoxEndIndex,F,!1)}}_deserializeCollisionBoxesForSymbol(S,F,W,te,fe,pe,ze,Ke,ut){let Lt={};for(let Qt=F;Qt<W;Qt++){let fr=S.get(Qt);Lt.textBox={x1:fr.x1,y1:fr.y1,x2:fr.x2,y2:fr.y2,anchorPointX:fr.anchorPointX,anchorPointY:fr.anchorPointY},Lt.textFeatureIndex=fr.featureIndex;break}for(let Qt=te;Qt<fe;Qt++){let fr=S.get(Qt);Lt.verticalTextBox={x1:fr.x1,y1:fr.y1,x2:fr.x2,y2:fr.y2,anchorPointX:fr.anchorPointX,anchorPointY:fr.anchorPointY},Lt.verticalTextFeatureIndex=fr.featureIndex;break}for(let Qt=pe;Qt<ze;Qt++){let fr=S.get(Qt);Lt.iconBox={x1:fr.x1,y1:fr.y1,x2:fr.x2,y2:fr.y2,anchorPointX:fr.anchorPointX,anchorPointY:fr.anchorPointY},Lt.iconFeatureIndex=fr.featureIndex;break}for(let Qt=Ke;Qt<ut;Qt++){let fr=S.get(Qt);Lt.verticalIconBox={x1:fr.x1,y1:fr.y1,x2:fr.x2,y2:fr.y2,anchorPointX:fr.anchorPointX,anchorPointY:fr.anchorPointY},Lt.verticalIconFeatureIndex=fr.featureIndex;break}return Lt}deserializeCollisionBoxes(S){this.collisionArrays=[];for(let F=0;F<this.symbolInstances.length;F++){let W=this.symbolInstances.get(F);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(S,W.textBoxStartIndex,W.textBoxEndIndex,W.verticalTextBoxStartIndex,W.verticalTextBoxEndIndex,W.iconBoxStartIndex,W.iconBoxEndIndex,W.verticalIconBoxStartIndex,W.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(S,F){let W=S.placedSymbolArray.get(F),te=W.vertexStartIndex+4*W.numGlyphs;for(let fe=W.vertexStartIndex;fe<te;fe+=4)S.indexArray.emplaceBack(fe,fe+1,fe+2),S.indexArray.emplaceBack(fe+1,fe+2,fe+3)}getSortedSymbolIndexes(S){if(this.sortedAngle===S&&this.symbolInstanceIndexes!==void 0)return this.symbolInstanceIndexes;let F=Math.sin(S),W=Math.cos(S),te=[],fe=[],pe=[];for(let ze=0;ze<this.symbolInstances.length;++ze){pe.push(ze);let Ke=this.symbolInstances.get(ze);te.push(0|Math.round(F*Ke.anchorX+W*Ke.anchorY)),fe.push(Ke.featureIndex)}return pe.sort((ze,Ke)=>te[ze]-te[Ke]||fe[Ke]-fe[ze]),pe}addToSortKeyRanges(S,F){let W=this.sortKeyRanges[this.sortKeyRanges.length-1];W&&W.sortKey===F?W.symbolInstanceEnd=S+1:this.sortKeyRanges.push({sortKey:F,symbolInstanceStart:S,symbolInstanceEnd:S+1})}sortFeatures(S){if(this.sortFeaturesByY&&this.sortedAngle!==S&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(S),this.sortedAngle=S,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(let F of this.symbolInstanceIndexes){let W=this.symbolInstances.get(F);this.featureSortOrder.push(W.featureIndex),[W.rightJustifiedTextSymbolIndex,W.centerJustifiedTextSymbolIndex,W.leftJustifiedTextSymbolIndex].forEach((te,fe,pe)=>{te>=0&&pe.indexOf(te)===fe&&this.addIndicesForPlacedSymbol(this.text,te)}),W.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,W.verticalPlacedTextSymbolIndex),W.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,W.placedIconSymbolIndex),W.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,W.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}}}let wf,Xx;Di(\"SymbolBucket\",E1,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),E1.MAX_GLYPHS=65535,E1.addDynamicAttributes=aS;var Dw={get paint(){return Xx=Xx||new ue({\"icon-opacity\":new oo(ce.paint_symbol[\"icon-opacity\"]),\"icon-color\":new oo(ce.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new oo(ce.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new oo(ce.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new oo(ce.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new Ua(ce.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new Ua(ce.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new oo(ce.paint_symbol[\"text-opacity\"]),\"text-color\":new oo(ce.paint_symbol[\"text-color\"],{runtimeType:Yt,getOverride:R=>R.textColor,hasOverride:R=>!!R.textColor}),\"text-halo-color\":new oo(ce.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new oo(ce.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new oo(ce.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new Ua(ce.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new Ua(ce.paint_symbol[\"text-translate-anchor\"])})},get layout(){return wf=wf||new ue({\"symbol-placement\":new Ua(ce.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new Ua(ce.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new Ua(ce.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new oo(ce.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new Ua(ce.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new Ua(ce.layout_symbol[\"icon-allow-overlap\"]),\"icon-overlap\":new Ua(ce.layout_symbol[\"icon-overlap\"]),\"icon-ignore-placement\":new Ua(ce.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new Ua(ce.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new Ua(ce.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new oo(ce.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new Ua(ce.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new Ua(ce.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new oo(ce.layout_symbol[\"icon-image\"]),\"icon-rotate\":new oo(ce.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new oo(ce.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new Ua(ce.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new oo(ce.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new oo(ce.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new Ua(ce.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new Ua(ce.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new Ua(ce.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new oo(ce.layout_symbol[\"text-field\"]),\"text-font\":new oo(ce.layout_symbol[\"text-font\"]),\"text-size\":new oo(ce.layout_symbol[\"text-size\"]),\"text-max-width\":new oo(ce.layout_symbol[\"text-max-width\"]),\"text-line-height\":new Ua(ce.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new oo(ce.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new oo(ce.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new oo(ce.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new Ua(ce.layout_symbol[\"text-variable-anchor\"]),\"text-variable-anchor-offset\":new oo(ce.layout_symbol[\"text-variable-anchor-offset\"]),\"text-anchor\":new oo(ce.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new Ua(ce.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new Ua(ce.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new oo(ce.layout_symbol[\"text-rotate\"]),\"text-padding\":new Ua(ce.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new Ua(ce.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new oo(ce.layout_symbol[\"text-transform\"]),\"text-offset\":new oo(ce.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new Ua(ce.layout_symbol[\"text-allow-overlap\"]),\"text-overlap\":new Ua(ce.layout_symbol[\"text-overlap\"]),\"text-ignore-placement\":new Ua(ce.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new Ua(ce.layout_symbol[\"text-optional\"])})}};class Zx{constructor(S){if(S.property.overrides===void 0)throw new Error(\"overrides must be provided to instantiate FormatSectionOverride class\");this.type=S.property.overrides?S.property.overrides.runtimeType:Ut,this.defaultValue=S}evaluate(S){if(S.formattedSection){let F=this.defaultValue.property.overrides;if(F&&F.hasOverride(S.formattedSection))return F.getOverride(S.formattedSection)}return S.feature&&S.featureState?this.defaultValue.evaluate(S.feature,S.featureState):this.defaultValue.property.specification.default}eachChild(S){this.defaultValue.isConstant()||S(this.defaultValue.value._styleExpression.expression)}outputDefined(){return!1}serialize(){return null}}Di(\"FormatSectionOverride\",Zx,{omit:[\"defaultValue\"]});class uy extends B{constructor(S){super(S,Dw)}recalculate(S,F){if(super.recalculate(S,F),this.layout.get(\"icon-rotation-alignment\")===\"auto\"&&(this.layout._values[\"icon-rotation-alignment\"]=this.layout.get(\"symbol-placement\")!==\"point\"?\"map\":\"viewport\"),this.layout.get(\"text-rotation-alignment\")===\"auto\"&&(this.layout._values[\"text-rotation-alignment\"]=this.layout.get(\"symbol-placement\")!==\"point\"?\"map\":\"viewport\"),this.layout.get(\"text-pitch-alignment\")===\"auto\"&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")===\"map\"?\"map\":\"viewport\"),this.layout.get(\"icon-pitch-alignment\")===\"auto\"&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),this.layout.get(\"symbol-placement\")===\"point\"){let W=this.layout.get(\"text-writing-mode\");if(W){let te=[];for(let fe of W)te.indexOf(fe)<0&&te.push(fe);this.layout._values[\"text-writing-mode\"]=te}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()}getValueAndResolveTokens(S,F,W,te){let fe=this.layout.get(S).evaluate(F,{},W,te),pe=this._unevaluatedLayout._values[S];return pe.isDataDriven()||Dc(pe.value)||!fe?fe:function(ze,Ke){return Ke.replace(/{([^{}]+)}/g,(ut,Lt)=>ze&&Lt in ze?String(ze[Lt]):\"\")}(F.properties,fe)}createBucket(S){return new E1(S)}queryRadius(){return 0}queryIntersectsFeature(){throw new Error(\"Should take a different path in FeatureIndex\")}_setPaintOverrides(){for(let S of Dw.paint.overridableProperties){if(!uy.hasPaintOverride(this.layout,S))continue;let F=this.paint.get(S),W=new Zx(F),te=new Eu(W,F.property.specification),fe=null;fe=F.value.kind===\"constant\"||F.value.kind===\"source\"?new bc(\"source\",te):new du(\"composite\",te,F.value.zoomStops),this.paint._values[S]=new xu(F.property,fe,F.parameters)}}_handleOverridablePaintPropertyUpdate(S,F,W){return!(!this.layout||F.isDataDriven()||W.isDataDriven())&&uy.hasPaintOverride(this.layout,S)}static hasPaintOverride(S,F){let W=S.get(\"text-field\"),te=Dw.paint.properties[F],fe=!1,pe=ze=>{for(let Ke of ze)if(te.overrides&&te.overrides.hasOverride(Ke))return void(fe=!0)};if(W.value.kind===\"constant\"&&W.value.value instanceof ri)pe(W.value.value.sections);else if(W.value.kind===\"source\"){let ze=ut=>{fe||(ut instanceof la&&Mn(ut.value)===ei?pe(ut.value.sections):ut instanceof Zl?pe(ut.sections):ut.eachChild(ze))},Ke=W.value;Ke._styleExpression&&ze(Ke._styleExpression.expression)}return fe}}let Sk;var Yx={get paint(){return Sk=Sk||new ue({\"background-color\":new Ua(ce.paint_background[\"background-color\"]),\"background-pattern\":new hc(ce.paint_background[\"background-pattern\"]),\"background-opacity\":new Ua(ce.paint_background[\"background-opacity\"])})}};class X9 extends B{constructor(S){super(S,Yx)}}let lS;var Mk={get paint(){return lS=lS||new ue({\"raster-opacity\":new Ua(ce.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new Ua(ce.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new Ua(ce.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new Ua(ce.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new Ua(ce.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new Ua(ce.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new Ua(ce.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new Ua(ce.paint_raster[\"raster-fade-duration\"])})}};class Kx extends B{constructor(S){super(S,Mk)}}class uS extends B{constructor(S){super(S,{}),this.onAdd=F=>{this.implementation.onAdd&&this.implementation.onAdd(F,F.painter.context.gl)},this.onRemove=F=>{this.implementation.onRemove&&this.implementation.onRemove(F,F.painter.context.gl)},this.implementation=S}is3D(){return this.implementation.renderingMode===\"3d\"}hasOffscreenPass(){return this.implementation.prerender!==void 0}recalculate(){}updateTransitions(){}hasTransition(){return!1}serialize(){throw new Error(\"Custom layers cannot be serialized\")}}class cS{constructor(S){this._methodToThrottle=S,this._triggered=!1,typeof MessageChannel!=\"undefined\"&&(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=()=>{}}}let fS=63710088e-1;class dg{constructor(S,F){if(isNaN(S)||isNaN(F))throw new Error(`Invalid LngLat object: (${S}, ${F})`);if(this.lng=+S,this.lat=+F,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")}wrap(){return new dg(A(this.lng,-180,180),this.lat)}toArray(){return[this.lng,this.lat]}toString(){return`LngLat(${this.lng}, ${this.lat})`}distanceTo(S){let F=Math.PI/180,W=this.lat*F,te=S.lat*F,fe=Math.sin(W)*Math.sin(te)+Math.cos(W)*Math.cos(te)*Math.cos((S.lng-this.lng)*F);return fS*Math.acos(Math.min(fe,1))}static convert(S){if(S instanceof dg)return S;if(Array.isArray(S)&&(S.length===2||S.length===3))return new dg(Number(S[0]),Number(S[1]));if(!Array.isArray(S)&&typeof S==\"object\"&&S!==null)return new dg(Number(\"lng\"in S?S.lng:S.lon),Number(S.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>]\")}}let C1=2*Math.PI*fS;function Ek(R){return C1*Math.cos(R*Math.PI/180)}function Fw(R){return(180+R)/360}function Ck(R){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+R*Math.PI/360)))/360}function zw(R,S){return R/Ek(S)}function Jx(R){return 360/Math.PI*Math.atan(Math.exp((180-360*R)*Math.PI/180))-90}class $x{constructor(S,F,W=0){this.x=+S,this.y=+F,this.z=+W}static fromLngLat(S,F=0){let W=dg.convert(S);return new $x(Fw(W.lng),Ck(W.lat),zw(F,W.lat))}toLngLat(){return new dg(360*this.x-180,Jx(this.y))}toAltitude(){return this.z*Ek(Jx(this.y))}meterInMercatorCoordinateUnits(){return 1/C1*(S=Jx(this.y),1/Math.cos(S*Math.PI/180));var S}}function pp(R,S,F){var W=2*Math.PI*6378137/256/Math.pow(2,F);return[R*W-2*Math.PI*6378137/2,S*W-2*Math.PI*6378137/2]}class hS{constructor(S,F,W){if(!function(te,fe,pe){return!(te<0||te>25||pe<0||pe>=Math.pow(2,te)||fe<0||fe>=Math.pow(2,te))}(S,F,W))throw new Error(`x=${F}, y=${W}, z=${S} outside of bounds. 0<=x<${Math.pow(2,S)}, 0<=y<${Math.pow(2,S)} 0<=z<=25 `);this.z=S,this.x=F,this.y=W,this.key=Qx(0,S,S,F,W)}equals(S){return this.z===S.z&&this.x===S.x&&this.y===S.y}url(S,F,W){let te=(pe=this.y,ze=this.z,Ke=pp(256*(fe=this.x),256*(pe=Math.pow(2,ze)-pe-1),ze),ut=pp(256*(fe+1),256*(pe+1),ze),Ke[0]+\",\"+Ke[1]+\",\"+ut[0]+\",\"+ut[1]);var fe,pe,ze,Ke,ut;let Lt=function(Qt,fr,mr){let Lr,zr=\"\";for(let ui=Qt;ui>0;ui--)Lr=1<<ui-1,zr+=(fr&Lr?1:0)+(mr&Lr?2:0);return zr}(this.z,this.x,this.y);return S[(this.x+this.y)%S.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(W===\"tms\"?Math.pow(2,this.z)-this.y-1:this.y)).replace(/{ratio}/g,F>1?\"@2x\":\"\").replace(/{quadkey}/g,Lt).replace(/{bbox-epsg-3857}/g,te)}isChildOf(S){let F=this.z-S.z;return F>0&&S.x===this.x>>F&&S.y===this.y>>F}getTilePoint(S){let F=Math.pow(2,this.z);return new u((S.x*F-this.x)*Ha,(S.y*F-this.y)*Ha)}toString(){return`${this.z}/${this.x}/${this.y}`}}class kk{constructor(S,F){this.wrap=S,this.canonical=F,this.key=Qx(S,F.z,F.z,F.x,F.y)}}class Jv{constructor(S,F,W,te,fe){if(S<W)throw new Error(`overscaledZ should be >= z; overscaledZ = ${S}; z = ${W}`);this.overscaledZ=S,this.wrap=F,this.canonical=new hS(W,+te,+fe),this.key=Qx(F,S,W,te,fe)}clone(){return new Jv(this.overscaledZ,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)}equals(S){return this.overscaledZ===S.overscaledZ&&this.wrap===S.wrap&&this.canonical.equals(S.canonical)}scaledTo(S){if(S>this.overscaledZ)throw new Error(`targetZ > this.overscaledZ; targetZ = ${S}; overscaledZ = ${this.overscaledZ}`);let F=this.canonical.z-S;return S>this.canonical.z?new Jv(S,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Jv(S,this.wrap,S,this.canonical.x>>F,this.canonical.y>>F)}calculateScaledKey(S,F){if(S>this.overscaledZ)throw new Error(`targetZ > this.overscaledZ; targetZ = ${S}; overscaledZ = ${this.overscaledZ}`);let W=this.canonical.z-S;return S>this.canonical.z?Qx(this.wrap*+F,S,this.canonical.z,this.canonical.x,this.canonical.y):Qx(this.wrap*+F,S,S,this.canonical.x>>W,this.canonical.y>>W)}isChildOf(S){if(S.wrap!==this.wrap)return!1;let F=this.canonical.z-S.canonical.z;return S.overscaledZ===0||S.overscaledZ<this.overscaledZ&&S.canonical.x===this.canonical.x>>F&&S.canonical.y===this.canonical.y>>F}children(S){if(this.overscaledZ>=S)return[new Jv(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];let F=this.canonical.z+1,W=2*this.canonical.x,te=2*this.canonical.y;return[new Jv(F,this.wrap,F,W,te),new Jv(F,this.wrap,F,W+1,te),new Jv(F,this.wrap,F,W,te+1),new Jv(F,this.wrap,F,W+1,te+1)]}isLessThan(S){return this.wrap<S.wrap||!(this.wrap>S.wrap)&&(this.overscaledZ<S.overscaledZ||!(this.overscaledZ>S.overscaledZ)&&(this.canonical.x<S.canonical.x||!(this.canonical.x>S.canonical.x)&&this.canonical.y<S.canonical.y))}wrapped(){return new Jv(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)}unwrapTo(S){return new Jv(this.overscaledZ,S,this.canonical.z,this.canonical.x,this.canonical.y)}overscaleFactor(){return Math.pow(2,this.overscaledZ-this.canonical.z)}toUnwrapped(){return new kk(this.wrap,this.canonical)}toString(){return`${this.overscaledZ}/${this.canonical.x}/${this.canonical.y}`}getTilePoint(S){return this.canonical.getTilePoint(new $x(S.x-this.wrap,S.y))}}function Qx(R,S,F,W,te){(R*=2)<0&&(R=-1*R-1);let fe=1<<F;return(fe*fe*R+fe*te+W).toString(36)+F.toString(36)+S.toString(36)}Di(\"CanonicalTileID\",hS),Di(\"OverscaledTileID\",Jv,{omit:[\"posMatrix\"]});class Lk{constructor(S,F,W,te=1,fe=1,pe=1,ze=0){if(this.uid=S,F.height!==F.width)throw new RangeError(\"DEM tiles must be square\");if(W&&![\"mapbox\",\"terrarium\",\"custom\"].includes(W))return void T(`\"${W}\" is not a valid encoding type. Valid types include \"mapbox\", \"terrarium\" and \"custom\".`);this.stride=F.height;let Ke=this.dim=F.height-2;switch(this.data=new Uint32Array(F.data.buffer),W){case\"terrarium\":this.redFactor=256,this.greenFactor=1,this.blueFactor=1/256,this.baseShift=32768;break;case\"custom\":this.redFactor=te,this.greenFactor=fe,this.blueFactor=pe,this.baseShift=ze;break;default:this.redFactor=6553.6,this.greenFactor=25.6,this.blueFactor=.1,this.baseShift=1e4}for(let ut=0;ut<Ke;ut++)this.data[this._idx(-1,ut)]=this.data[this._idx(0,ut)],this.data[this._idx(Ke,ut)]=this.data[this._idx(Ke-1,ut)],this.data[this._idx(ut,-1)]=this.data[this._idx(ut,0)],this.data[this._idx(ut,Ke)]=this.data[this._idx(ut,Ke-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(Ke,-1)]=this.data[this._idx(Ke-1,0)],this.data[this._idx(-1,Ke)]=this.data[this._idx(0,Ke-1)],this.data[this._idx(Ke,Ke)]=this.data[this._idx(Ke-1,Ke-1)],this.min=Number.MAX_SAFE_INTEGER,this.max=Number.MIN_SAFE_INTEGER;for(let ut=0;ut<Ke;ut++)for(let Lt=0;Lt<Ke;Lt++){let Qt=this.get(ut,Lt);Qt>this.max&&(this.max=Qt),Qt<this.min&&(this.min=Qt)}}get(S,F){let W=new Uint8Array(this.data.buffer),te=4*this._idx(S,F);return this.unpack(W[te],W[te+1],W[te+2])}getUnpackVector(){return[this.redFactor,this.greenFactor,this.blueFactor,this.baseShift]}_idx(S,F){if(S<-1||S>=this.dim+1||F<-1||F>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(F+1)*this.stride+(S+1)}unpack(S,F,W){return S*this.redFactor+F*this.greenFactor+W*this.blueFactor-this.baseShift}getPixels(){return new Yi({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))}backfillBorder(S,F,W){if(this.dim!==S.dim)throw new Error(\"dem dimension mismatch\");let te=F*this.dim,fe=F*this.dim+this.dim,pe=W*this.dim,ze=W*this.dim+this.dim;switch(F){case-1:te=fe-1;break;case 1:fe=te+1}switch(W){case-1:pe=ze-1;break;case 1:ze=pe+1}let Ke=-F*this.dim,ut=-W*this.dim;for(let Lt=pe;Lt<ze;Lt++)for(let Qt=te;Qt<fe;Qt++)this.data[this._idx(Qt,Lt)]=S.data[this._idx(Qt+Ke,Lt+ut)]}}Di(\"DEMData\",Lk);class Pk{constructor(S){this._stringToNumber={},this._numberToString=[];for(let F=0;F<S.length;F++){let W=S[F];this._stringToNumber[W]=F,this._numberToString[F]=W}}encode(S){return this._stringToNumber[S]}decode(S){if(S>=this._numberToString.length)throw new Error(`Out of bounds. Index requested n=${S} can't be >= this._numberToString.length ${this._numberToString.length}`);return this._numberToString[S]}}class dS{constructor(S,F,W,te,fe){this.type=\"Feature\",this._vectorTileFeature=S,S._z=F,S._x=W,S._y=te,this.properties=S.properties,this.id=fe}get geometry(){return this._geometry===void 0&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry}set geometry(S){this._geometry=S}toJSON(){let S={geometry:this.geometry};for(let F in this)F!==\"_geometry\"&&F!==\"_vectorTileFeature\"&&(S[F]=this[F]);return S}}class cy{constructor(S,F){this.tileID=S,this.x=S.canonical.x,this.y=S.canonical.y,this.z=S.canonical.z,this.grid=new $i(Ha,16,0),this.grid3D=new $i(Ha,16,0),this.featureIndexArray=new As,this.promoteId=F}insert(S,F,W,te,fe,pe){let ze=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(W,te,fe);let Ke=pe?this.grid3D:this.grid;for(let ut=0;ut<F.length;ut++){let Lt=F[ut],Qt=[1/0,1/0,-1/0,-1/0];for(let fr=0;fr<Lt.length;fr++){let mr=Lt[fr];Qt[0]=Math.min(Qt[0],mr.x),Qt[1]=Math.min(Qt[1],mr.y),Qt[2]=Math.max(Qt[2],mr.x),Qt[3]=Math.max(Qt[3],mr.y)}Qt[0]<Ha&&Qt[1]<Ha&&Qt[2]>=0&&Qt[3]>=0&&Ke.insert(ze,Qt[0],Qt[1],Qt[2],Qt[3])}}loadVTLayers(){return this.vtLayers||(this.vtLayers=new br.VectorTile(new tS(this.rawTileData)).layers,this.sourceLayerCoder=new Pk(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers}query(S,F,W,te){this.loadVTLayers();let fe=S.params||{},pe=Ha/S.tileSize/S.scale,ze=Fc(fe.filter),Ke=S.queryGeometry,ut=S.queryPadding*pe,Lt=Rk(Ke),Qt=this.grid.query(Lt.minX-ut,Lt.minY-ut,Lt.maxX+ut,Lt.maxY+ut),fr=Rk(S.cameraQueryGeometry),mr=this.grid3D.query(fr.minX-ut,fr.minY-ut,fr.maxX+ut,fr.maxY+ut,(ui,yi,dn,Fi)=>function(ln,An,pa,ro,Vo){for(let sa of ln)if(An<=sa.x&&pa<=sa.y&&ro>=sa.x&&Vo>=sa.y)return!0;let Xa=[new u(An,pa),new u(An,Vo),new u(ro,Vo),new u(ro,pa)];if(ln.length>2){for(let sa of Xa)if(Ni(ln,sa))return!0}for(let sa=0;sa<ln.length-1;sa++)if(Oi(ln[sa],ln[sa+1],Xa))return!0;return!1}(S.cameraQueryGeometry,ui-ut,yi-ut,dn+ut,Fi+ut));for(let ui of mr)Qt.push(ui);Qt.sort(Z9);let Lr={},zr;for(let ui=0;ui<Qt.length;ui++){let yi=Qt[ui];if(yi===zr)continue;zr=yi;let dn=this.featureIndexArray.get(yi),Fi=null;this.loadMatchingFeature(Lr,dn.bucketIndex,dn.sourceLayerIndex,dn.featureIndex,ze,fe.layers,fe.availableImages,F,W,te,(ln,An,pa)=>(Fi||(Fi=Qs(ln)),An.queryIntersectsFeature(Ke,ln,pa,Fi,this.z,S.transform,pe,S.pixelPosMatrix)))}return Lr}loadMatchingFeature(S,F,W,te,fe,pe,ze,Ke,ut,Lt,Qt){let fr=this.bucketLayerIDs[F];if(pe&&!function(ui,yi){for(let dn=0;dn<ui.length;dn++)if(yi.indexOf(ui[dn])>=0)return!0;return!1}(pe,fr))return;let mr=this.sourceLayerCoder.decode(W),Lr=this.vtLayers[mr].feature(te);if(fe.needGeometry){let ui=Sl(Lr,!0);if(!fe.filter(new is(this.tileID.overscaledZ),ui,this.tileID.canonical))return}else if(!fe.filter(new is(this.tileID.overscaledZ),Lr))return;let zr=this.getId(Lr,mr);for(let ui=0;ui<fr.length;ui++){let yi=fr[ui];if(pe&&pe.indexOf(yi)<0)continue;let dn=Ke[yi];if(!dn)continue;let Fi={};zr&&Lt&&(Fi=Lt.getState(dn.sourceLayer||\"_geojsonTileLayer\",zr));let ln=L({},ut[yi]);ln.paint=Ik(ln.paint,dn.paint,Lr,Fi,ze),ln.layout=Ik(ln.layout,dn.layout,Lr,Fi,ze);let An=!Qt||Qt(Lr,dn,Fi);if(!An)continue;let pa=new dS(Lr,this.z,this.x,this.y,zr);pa.layer=ln;let ro=S[yi];ro===void 0&&(ro=S[yi]=[]),ro.push({featureIndex:te,feature:pa,intersectionZ:An})}}lookupSymbolFeatures(S,F,W,te,fe,pe,ze,Ke){let ut={};this.loadVTLayers();let Lt=Fc(fe);for(let Qt of S)this.loadMatchingFeature(ut,W,te,Qt,Lt,pe,ze,Ke,F);return ut}hasLayer(S){for(let F of this.bucketLayerIDs)for(let W of F)if(S===W)return!0;return!1}getId(S,F){let W=S.id;return this.promoteId&&(W=S.properties[typeof this.promoteId==\"string\"?this.promoteId:this.promoteId[F]],typeof W==\"boolean\"&&(W=Number(W))),W}}function Ik(R,S,F,W,te){return k(R,(fe,pe)=>{let ze=S instanceof Ac?S.get(pe):null;return ze&&ze.evaluate?ze.evaluate(F,W,te):ze})}function Rk(R){let S=1/0,F=1/0,W=-1/0,te=-1/0;for(let fe of R)S=Math.min(S,fe.x),F=Math.min(F,fe.y),W=Math.max(W,fe.x),te=Math.max(te,fe.y);return{minX:S,minY:F,maxX:W,maxY:te}}function Z9(R,S){return S-R}function Dk(R,S,F,W,te){let fe=[];for(let pe=0;pe<R.length;pe++){let ze=R[pe],Ke;for(let ut=0;ut<ze.length-1;ut++){let Lt=ze[ut],Qt=ze[ut+1];Lt.x<S&&Qt.x<S||(Lt.x<S?Lt=new u(S,Lt.y+(S-Lt.x)/(Qt.x-Lt.x)*(Qt.y-Lt.y))._round():Qt.x<S&&(Qt=new u(S,Lt.y+(S-Lt.x)/(Qt.x-Lt.x)*(Qt.y-Lt.y))._round()),Lt.y<F&&Qt.y<F||(Lt.y<F?Lt=new u(Lt.x+(F-Lt.y)/(Qt.y-Lt.y)*(Qt.x-Lt.x),F)._round():Qt.y<F&&(Qt=new u(Lt.x+(F-Lt.y)/(Qt.y-Lt.y)*(Qt.x-Lt.x),F)._round()),Lt.x>=W&&Qt.x>=W||(Lt.x>=W?Lt=new u(W,Lt.y+(W-Lt.x)/(Qt.x-Lt.x)*(Qt.y-Lt.y))._round():Qt.x>=W&&(Qt=new u(W,Lt.y+(W-Lt.x)/(Qt.x-Lt.x)*(Qt.y-Lt.y))._round()),Lt.y>=te&&Qt.y>=te||(Lt.y>=te?Lt=new u(Lt.x+(te-Lt.y)/(Qt.y-Lt.y)*(Qt.x-Lt.x),te)._round():Qt.y>=te&&(Qt=new u(Lt.x+(te-Lt.y)/(Qt.y-Lt.y)*(Qt.x-Lt.x),te)._round()),Ke&&Lt.equals(Ke[Ke.length-1])||(Ke=[Lt],fe.push(Ke)),Ke.push(Qt)))))}}return fe}Di(\"FeatureIndex\",cy,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});class vg extends u{constructor(S,F,W,te){super(S,F),this.angle=W,te!==void 0&&(this.segment=te)}clone(){return new vg(this.x,this.y,this.angle,this.segment)}}function vS(R,S,F,W,te){if(S.segment===void 0||F===0)return!0;let fe=S,pe=S.segment+1,ze=0;for(;ze>-F/2;){if(pe--,pe<0)return!1;ze-=R[pe].dist(fe),fe=R[pe]}ze+=R[pe].dist(R[pe+1]),pe++;let Ke=[],ut=0;for(;ze<F/2;){let Lt=R[pe],Qt=R[pe+1];if(!Qt)return!1;let fr=R[pe-1].angleTo(Lt)-Lt.angleTo(Qt);for(fr=Math.abs((fr+3*Math.PI)%(2*Math.PI)-Math.PI),Ke.push({distance:ze,angleDelta:fr}),ut+=fr;ze-Ke[0].distance>W;)ut-=Ke.shift().angleDelta;if(ut>te)return!1;pe++,ze+=Lt.dist(Qt)}return!0}function Fk(R){let S=0;for(let F=0;F<R.length-1;F++)S+=R[F].dist(R[F+1]);return S}function zk(R,S,F){return R?.6*S*F:0}function Ok(R,S){return Math.max(R?R.right-R.left:0,S?S.right-S.left:0)}function Y9(R,S,F,W,te,fe){let pe=zk(F,te,fe),ze=Ok(F,W)*fe,Ke=0,ut=Fk(R)/2;for(let Lt=0;Lt<R.length-1;Lt++){let Qt=R[Lt],fr=R[Lt+1],mr=Qt.dist(fr);if(Ke+mr>ut){let Lr=(ut-Ke)/mr,zr=Lo.number(Qt.x,fr.x,Lr),ui=Lo.number(Qt.y,fr.y,Lr),yi=new vg(zr,ui,fr.angleTo(Qt),Lt);return yi._round(),!pe||vS(R,yi,ze,pe,S)?yi:void 0}Ke+=mr}}function K9(R,S,F,W,te,fe,pe,ze,Ke){let ut=zk(W,fe,pe),Lt=Ok(W,te),Qt=Lt*pe,fr=R[0].x===0||R[0].x===Ke||R[0].y===0||R[0].y===Ke;return S-Qt<S/4&&(S=Qt+S/4),qk(R,fr?S/2*ze%S:(Lt/2+2*fe)*pe*ze%S,S,ut,F,Qt,fr,!1,Ke)}function qk(R,S,F,W,te,fe,pe,ze,Ke){let ut=fe/2,Lt=Fk(R),Qt=0,fr=S-F,mr=[];for(let Lr=0;Lr<R.length-1;Lr++){let zr=R[Lr],ui=R[Lr+1],yi=zr.dist(ui),dn=ui.angleTo(zr);for(;fr+F<Qt+yi;){fr+=F;let Fi=(fr-Qt)/yi,ln=Lo.number(zr.x,ui.x,Fi),An=Lo.number(zr.y,ui.y,Fi);if(ln>=0&&ln<Ke&&An>=0&&An<Ke&&fr-ut>=0&&fr+ut<=Lt){let pa=new vg(ln,An,dn,Lr);pa._round(),W&&!vS(R,pa,fe,W,te)||mr.push(pa)}}Qt+=yi}return ze||mr.length||pe||(mr=qk(R,Qt/2,F,W,te,fe,pe,!0,Ke)),mr}Di(\"Anchor\",vg);let k1=Md;function Bk(R,S,F,W){let te=[],fe=R.image,pe=fe.pixelRatio,ze=fe.paddedRect.w-2*k1,Ke=fe.paddedRect.h-2*k1,ut={x1:R.left,y1:R.top,x2:R.right,y2:R.bottom},Lt=fe.stretchX||[[0,ze]],Qt=fe.stretchY||[[0,Ke]],fr=(Xn,Ro)=>Xn+Ro[1]-Ro[0],mr=Lt.reduce(fr,0),Lr=Qt.reduce(fr,0),zr=ze-mr,ui=Ke-Lr,yi=0,dn=mr,Fi=0,ln=Lr,An=0,pa=zr,ro=0,Vo=ui;if(fe.content&&W){let Xn=fe.content,Ro=Xn[2]-Xn[0],uo=Xn[3]-Xn[1];(fe.textFitWidth||fe.textFitHeight)&&(ut=wk(R)),yi=pg(Lt,0,Xn[0]),Fi=pg(Qt,0,Xn[1]),dn=pg(Lt,Xn[0],Xn[2]),ln=pg(Qt,Xn[1],Xn[3]),An=Xn[0]-yi,ro=Xn[1]-Fi,pa=Ro-dn,Vo=uo-ln}let Xa=ut.x1,sa=ut.y1,Mo=ut.x2-Xa,fo=ut.y2-sa,lo=(Xn,Ro,uo,$o)=>{let Ju=Ow(Xn.stretch-yi,dn,Mo,Xa),qu=L1(Xn.fixed-An,pa,Xn.stretch,mr),Th=Ow(Ro.stretch-Fi,ln,fo,sa),$v=L1(Ro.fixed-ro,Vo,Ro.stretch,Lr),ld=Ow(uo.stretch-yi,dn,Mo,Xa),Ah=L1(uo.fixed-An,pa,uo.stretch,mr),Gd=Ow($o.stretch-Fi,ln,fo,sa),Hd=L1($o.fixed-ro,Vo,$o.stretch,Lr),jd=new u(Ju,Th),Tf=new u(ld,Th),Sh=new u(ld,Gd),Ed=new u(Ju,Gd),ud=new u(qu/pe,$v/pe),Hh=new u(Ah/pe,Hd/pe),Rf=S*Math.PI/180;if(Rf){let tu=Math.sin(Rf),pc=Math.cos(Rf),$u=[pc,-tu,tu,pc];jd._matMult($u),Tf._matMult($u),Ed._matMult($u),Sh._matMult($u)}let Iv=Xn.stretch+Xn.fixed,lv=Ro.stretch+Ro.fixed;return{tl:jd,tr:Tf,bl:Ed,br:Sh,tex:{x:fe.paddedRect.x+k1+Iv,y:fe.paddedRect.y+k1+lv,w:uo.stretch+uo.fixed-Iv,h:$o.stretch+$o.fixed-lv},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:ud,pixelOffsetBR:Hh,minFontScaleX:pa/pe/Mo,minFontScaleY:Vo/pe/fo,isSDF:F}};if(W&&(fe.stretchX||fe.stretchY)){let Xn=Nk(Lt,zr,mr),Ro=Nk(Qt,ui,Lr);for(let uo=0;uo<Xn.length-1;uo++){let $o=Xn[uo],Ju=Xn[uo+1];for(let qu=0;qu<Ro.length-1;qu++)te.push(lo($o,Ro[qu],Ju,Ro[qu+1]))}}else te.push(lo({fixed:0,stretch:-1},{fixed:0,stretch:-1},{fixed:0,stretch:ze+1},{fixed:0,stretch:Ke+1}));return te}function pg(R,S,F){let W=0;for(let te of R)W+=Math.max(S,Math.min(F,te[1]))-Math.max(S,Math.min(F,te[0]));return W}function Nk(R,S,F){let W=[{fixed:-k1,stretch:0}];for(let[te,fe]of R){let pe=W[W.length-1];W.push({fixed:te-pe.stretch,stretch:pe.stretch}),W.push({fixed:te-pe.stretch,stretch:pe.stretch+(fe-te)})}return W.push({fixed:S+k1,stretch:F}),W}function Ow(R,S,F,W){return R/S*F+W}function L1(R,S,F,W){return R-S*F/W}class cm{constructor(S,F,W,te,fe,pe,ze,Ke,ut,Lt){var Qt;if(this.boxStartIndex=S.length,ut){let fr=pe.top,mr=pe.bottom,Lr=pe.collisionPadding;Lr&&(fr-=Lr[1],mr+=Lr[3]);let zr=mr-fr;zr>0&&(zr=Math.max(10,zr),this.circleDiameter=zr)}else{let fr=!((Qt=pe.image)===null||Qt===void 0)&&Qt.content&&(pe.image.textFitWidth||pe.image.textFitHeight)?wk(pe):{x1:pe.left,y1:pe.top,x2:pe.right,y2:pe.bottom};fr.y1=fr.y1*ze-Ke[0],fr.y2=fr.y2*ze+Ke[2],fr.x1=fr.x1*ze-Ke[3],fr.x2=fr.x2*ze+Ke[1];let mr=pe.collisionPadding;if(mr&&(fr.x1-=mr[0]*ze,fr.y1-=mr[1]*ze,fr.x2+=mr[2]*ze,fr.y2+=mr[3]*ze),Lt){let Lr=new u(fr.x1,fr.y1),zr=new u(fr.x2,fr.y1),ui=new u(fr.x1,fr.y2),yi=new u(fr.x2,fr.y2),dn=Lt*Math.PI/180;Lr._rotate(dn),zr._rotate(dn),ui._rotate(dn),yi._rotate(dn),fr.x1=Math.min(Lr.x,zr.x,ui.x,yi.x),fr.x2=Math.max(Lr.x,zr.x,ui.x,yi.x),fr.y1=Math.min(Lr.y,zr.y,ui.y,yi.y),fr.y2=Math.max(Lr.y,zr.y,ui.y,yi.y)}S.emplaceBack(F.x,F.y,fr.x1,fr.y1,fr.x2,fr.y2,W,te,fe)}this.boxEndIndex=S.length}}class Vp{constructor(S=[],F=(W,te)=>W<te?-1:W>te?1:0){if(this.data=S,this.length=this.data.length,this.compare=F,this.length>0)for(let W=(this.length>>1)-1;W>=0;W--)this._down(W)}push(S){this.data.push(S),this._up(this.length++)}pop(){if(this.length===0)return;let S=this.data[0],F=this.data.pop();return--this.length>0&&(this.data[0]=F,this._down(0)),S}peek(){return this.data[0]}_up(S){let{data:F,compare:W}=this,te=F[S];for(;S>0;){let fe=S-1>>1,pe=F[fe];if(W(te,pe)>=0)break;F[S]=pe,S=fe}F[S]=te}_down(S){let{data:F,compare:W}=this,te=this.length>>1,fe=F[S];for(;S<te;){let pe=1+(S<<1),ze=pe+1;if(ze<this.length&&W(F[ze],F[pe])<0&&(pe=ze),W(F[pe],fe)>=0)break;F[S]=F[pe],S=pe}F[S]=fe}}function J9(R,S=1,F=!1){let W=1/0,te=1/0,fe=-1/0,pe=-1/0,ze=R[0];for(let mr=0;mr<ze.length;mr++){let Lr=ze[mr];(!mr||Lr.x<W)&&(W=Lr.x),(!mr||Lr.y<te)&&(te=Lr.y),(!mr||Lr.x>fe)&&(fe=Lr.x),(!mr||Lr.y>pe)&&(pe=Lr.y)}let Ke=Math.min(fe-W,pe-te),ut=Ke/2,Lt=new Vp([],$9);if(Ke===0)return new u(W,te);for(let mr=W;mr<fe;mr+=Ke)for(let Lr=te;Lr<pe;Lr+=Ke)Lt.push(new P1(mr+ut,Lr+ut,ut,R));let Qt=function(mr){let Lr=0,zr=0,ui=0,yi=mr[0];for(let dn=0,Fi=yi.length,ln=Fi-1;dn<Fi;ln=dn++){let An=yi[dn],pa=yi[ln],ro=An.x*pa.y-pa.x*An.y;zr+=(An.x+pa.x)*ro,ui+=(An.y+pa.y)*ro,Lr+=3*ro}return new P1(zr/Lr,ui/Lr,0,mr)}(R),fr=Lt.length;for(;Lt.length;){let mr=Lt.pop();(mr.d>Qt.d||!Qt.d)&&(Qt=mr,F&&console.log(\"found best %d after %d probes\",Math.round(1e4*mr.d)/1e4,fr)),mr.max-Qt.d<=S||(ut=mr.h/2,Lt.push(new P1(mr.p.x-ut,mr.p.y-ut,ut,R)),Lt.push(new P1(mr.p.x+ut,mr.p.y-ut,ut,R)),Lt.push(new P1(mr.p.x-ut,mr.p.y+ut,ut,R)),Lt.push(new P1(mr.p.x+ut,mr.p.y+ut,ut,R)),fr+=4)}return F&&(console.log(`num probes: ${fr}`),console.log(`best distance: ${Qt.d}`)),Qt.p}function $9(R,S){return S.max-R.max}function P1(R,S,F,W){this.p=new u(R,S),this.h=F,this.d=function(te,fe){let pe=!1,ze=1/0;for(let Ke=0;Ke<fe.length;Ke++){let ut=fe[Ke];for(let Lt=0,Qt=ut.length,fr=Qt-1;Lt<Qt;fr=Lt++){let mr=ut[Lt],Lr=ut[fr];mr.y>te.y!=Lr.y>te.y&&te.x<(Lr.x-mr.x)*(te.y-mr.y)/(Lr.y-mr.y)+mr.x&&(pe=!pe),ze=Math.min(ze,Vr(te,mr,Lr))}}return(pe?1:-1)*Math.sqrt(ze)}(this.p,W),this.max=this.d+this.h*Math.SQRT2}var sd;i.aq=void 0,(sd=i.aq||(i.aq={}))[sd.center=1]=\"center\",sd[sd.left=2]=\"left\",sd[sd.right=3]=\"right\",sd[sd.top=4]=\"top\",sd[sd.bottom=5]=\"bottom\",sd[sd[\"top-left\"]=6]=\"top-left\",sd[sd[\"top-right\"]=7]=\"top-right\",sd[sd[\"bottom-left\"]=8]=\"bottom-left\",sd[sd[\"bottom-right\"]=9]=\"bottom-right\";let fm=7,fy=Number.POSITIVE_INFINITY;function pS(R,S){return S[1]!==fy?function(F,W,te){let fe=0,pe=0;switch(W=Math.abs(W),te=Math.abs(te),F){case\"top-right\":case\"top-left\":case\"top\":pe=te-fm;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":pe=-te+fm}switch(F){case\"top-right\":case\"bottom-right\":case\"right\":fe=-W;break;case\"top-left\":case\"bottom-left\":case\"left\":fe=W}return[fe,pe]}(R,S[0],S[1]):function(F,W){let te=0,fe=0;W<0&&(W=0);let pe=W/Math.SQRT2;switch(F){case\"top-right\":case\"top-left\":fe=pe-fm;break;case\"bottom-right\":case\"bottom-left\":fe=-pe+fm;break;case\"bottom\":fe=-W+fm;break;case\"top\":fe=W-fm}switch(F){case\"top-right\":case\"bottom-right\":te=-pe;break;case\"top-left\":case\"bottom-left\":te=pe;break;case\"left\":te=W;break;case\"right\":te=-W}return[te,fe]}(R,S[0])}function Uk(R,S,F){var W;let te=R.layout,fe=(W=te.get(\"text-variable-anchor-offset\"))===null||W===void 0?void 0:W.evaluate(S,{},F);if(fe){let ze=fe.values,Ke=[];for(let ut=0;ut<ze.length;ut+=2){let Lt=Ke[ut]=ze[ut],Qt=ze[ut+1].map(fr=>fr*eu);Lt.startsWith(\"top\")?Qt[1]-=fm:Lt.startsWith(\"bottom\")&&(Qt[1]+=fm),Ke[ut+1]=Qt}return new Ji(Ke)}let pe=te.get(\"text-variable-anchor\");if(pe){let ze;ze=R._unevaluatedLayout.getValue(\"text-radial-offset\")!==void 0?[te.get(\"text-radial-offset\").evaluate(S,{},F)*eu,fy]:te.get(\"text-offset\").evaluate(S,{},F).map(ut=>ut*eu);let Ke=[];for(let ut of pe)Ke.push(ut,pS(ut,ze));return new Ji(Ke)}return null}function gS(R){switch(R){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}function Q9(R,S,F,W,te,fe,pe,ze,Ke,ut,Lt){let Qt=fe.textMaxSize.evaluate(S,{});Qt===void 0&&(Qt=pe);let fr=R.layers[0].layout,mr=fr.get(\"icon-offset\").evaluate(S,{},Lt),Lr=Gk(F.horizontal),zr=pe/24,ui=R.tilePixelRatio*zr,yi=R.tilePixelRatio*Qt/24,dn=R.tilePixelRatio*ze,Fi=R.tilePixelRatio*fr.get(\"symbol-spacing\"),ln=fr.get(\"text-padding\")*R.tilePixelRatio,An=function(Xn,Ro,uo,$o=1){let Ju=Xn.get(\"icon-padding\").evaluate(Ro,{},uo),qu=Ju&&Ju.values;return[qu[0]*$o,qu[1]*$o,qu[2]*$o,qu[3]*$o]}(fr,S,Lt,R.tilePixelRatio),pa=fr.get(\"text-max-angle\")/180*Math.PI,ro=fr.get(\"text-rotation-alignment\")!==\"viewport\"&&fr.get(\"symbol-placement\")!==\"point\",Vo=fr.get(\"icon-rotation-alignment\")===\"map\"&&fr.get(\"symbol-placement\")!==\"point\",Xa=fr.get(\"symbol-placement\"),sa=Fi/2,Mo=fr.get(\"icon-text-fit\"),fo;W&&Mo!==\"none\"&&(R.allowVerticalPlacement&&F.vertical&&(fo=Tk(W,F.vertical,Mo,fr.get(\"icon-text-fit-padding\"),mr,zr)),Lr&&(W=Tk(W,Lr,Mo,fr.get(\"icon-text-fit-padding\"),mr,zr)));let lo=(Xn,Ro)=>{Ro.x<0||Ro.x>=Ha||Ro.y<0||Ro.y>=Ha||function(uo,$o,Ju,qu,Th,$v,ld,Ah,Gd,Hd,jd,Tf,Sh,Ed,ud,Hh,Rf,Iv,lv,tu,pc,$u,Rv,ff,I1){let p0=uo.addToLineVertexArray($o,Ju),Gp,Qv,Gc,Zf,ep=0,gg=0,uv=0,R1=0,bS=-1,Uw=-1,g0={},hy=bi(\"\");if(uo.allowVerticalPlacement&&qu.vertical){let Cd=Ah.layout.get(\"text-rotate\").evaluate(pc,{},ff)+90;Gc=new cm(Gd,$o,Hd,jd,Tf,qu.vertical,Sh,Ed,ud,Cd),ld&&(Zf=new cm(Gd,$o,Hd,jd,Tf,ld,Rf,Iv,ud,Cd))}if(Th){let Cd=Ah.layout.get(\"icon-rotate\").evaluate(pc,{}),tp=Ah.layout.get(\"icon-text-fit\")!==\"none\",hm=Bk(Th,Cd,Rv,tp),Wd=ld?Bk(ld,Cd,Rv,tp):void 0;Qv=new cm(Gd,$o,Hd,jd,Tf,Th,Rf,Iv,!1,Cd),ep=4*hm.length;let kd=uo.iconSizeData,mp=null;kd.kind===\"source\"?(mp=[v0*Ah.layout.get(\"icon-size\").evaluate(pc,{})],mp[0]>lm&&T(`${uo.layerIds[0]}: Value for \"icon-size\" is >= ${Wx}. 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xe={},Ce={featureIndex:Ie,iconDependencies:{},patternDependencies:{},glyphDependencies:{},availableImages:je},vt=Je.familiesBySource[this.source];for(let Vn in vt){let kn=Ge.layers[Vn];if(!kn)continue;kn.version===1&&i.w(`Vector tile source \"${this.source}\" layer \"${Vn}\" does not use vector tile spec v2 and therefore may have some rendering errors.`);let ea=wt.encode(Vn),ua=[];for(let Vt=0;Vt<kn.length;Vt++){let _t=kn.feature(Vt),tr=Ie.getId(_t,Vn);ua.push({feature:_t,id:tr,index:Vt,sourceLayerIndex:ea})}for(let Vt of vt[Vn]){let _t=Vt[0];_t.source!==this.source&&i.w(`layer.source = ${_t.source} does not equal this.source = 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this.status=\"done\",{buckets:Object.values(xe).filter(Vn=>!Vn.isEmpty()),featureIndex:Ie,collisionBoxArray:this.collisionBoxArray,glyphAtlasImage:wn.image,imageAtlas:pn,glyphMap:this.returnDependencies?fi:null,iconMap:this.returnDependencies?Hi:null,glyphPositions:this.returnDependencies?wn.positions:null}})}}function l(dt,Ge,Je){let je=new i.z(Ge);for(let $e of dt)$e.recalculate(je,Je)}class u{constructor(Ge,Je,je){this.actor=Ge,this.layerIndex=Je,this.availableImages=je,this.fetching={},this.loading={},this.loaded={}}loadVectorTile(Ge,Je){return i._(this,void 0,void 0,function*(){let je=yield i.l(Ge.request,Je);try{return{vectorTile:new i.bt.VectorTile(new i.bu(je.data)),rawData:je.data,cacheControl:je.cacheControl,expires:je.expires}}catch($e){let wt=new Uint8Array(je.data),Ie=`Unable to parse the tile at ${Ge.request.url}, `;throw Ie+=wt[0]===31&&wt[1]===139?\"please make sure the data is not gzipped and that you have configured the relevant header in the server\":`got error: 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Je=Ge.uid;if(!this.loaded||!this.loaded[Je])throw new Error(\"Should not be trying to reload a tile that was never loaded or has been removed\");let je=this.loaded[Je];if(je.showCollisionBoxes=Ge.showCollisionBoxes,je.status===\"parsing\"){let $e=yield je.parse(je.vectorTile,this.layerIndex,this.availableImages,this.actor),wt;if(this.fetching[Je]){let{rawTileData:Ie,cacheControl:xe,resourceTiming:Ce}=this.fetching[Je];delete this.fetching[Je],wt=i.e({rawTileData:Ie.slice(0)},$e,xe,Ce)}else wt=$e;return wt}if(je.status===\"done\"&&je.vectorTile)return je.parse(je.vectorTile,this.layerIndex,this.availableImages,this.actor)})}abortTile(Ge){return i._(this,void 0,void 0,function*(){let Je=this.loading,je=Ge.uid;Je&&Je[je]&&Je[je].abort&&(Je[je].abort.abort(),delete Je[je])})}removeTile(Ge){return i._(this,void 0,void 0,function*(){this.loaded&&this.loaded[Ge.uid]&&delete this.loaded[Ge.uid]})}}class c{constructor(){this.loaded={}}loadTile(Ge){return i._(this,void 0,void 0,function*(){let{uid:Je,encoding:je,rawImageData:$e,redFactor:wt,greenFactor:Ie,blueFactor:xe,baseShift:Ce}=Ge,vt=$e.width+2,nr=$e.height+2,ir=i.b($e)?new i.R({width:vt,height:nr},yield i.bw($e,-1,-1,vt,nr)):$e,pr=new i.bx(Je,ir,je,wt,Ie,xe,Ce);return this.loaded=this.loaded||{},this.loaded[Je]=pr,pr})}removeTile(Ge){let Je=this.loaded,je=Ge.uid;Je&&Je[je]&&delete Je[je]}}function f(dt,Ge){if(dt.length!==0){h(dt[0],Ge);for(var Je=1;Je<dt.length;Je++)h(dt[Je],!Ge)}}function h(dt,Ge){for(var Je=0,je=0,$e=0,wt=dt.length,Ie=wt-1;$e<wt;Ie=$e++){var xe=(dt[$e][0]-dt[Ie][0])*(dt[Ie][1]+dt[$e][1]),Ce=Je+xe;je+=Math.abs(Je)>=Math.abs(xe)?Je-Ce+xe:xe-Ce+Je,Je=Ce}Je+je>=0!=!!Ge&&dt.reverse()}var d=i.by(function dt(Ge,Je){var je,$e=Ge&&Ge.type;if($e===\"FeatureCollection\")for(je=0;je<Ge.features.length;je++)dt(Ge.features[je],Je);else if($e===\"GeometryCollection\")for(je=0;je<Ge.geometries.length;je++)dt(Ge.geometries[je],Je);else if($e===\"Feature\")dt(Ge.geometry,Je);else if($e===\"Polygon\")f(Ge.coordinates,Je);else if($e===\"MultiPolygon\")for(je=0;je<Ge.coordinates.length;je++)f(Ge.coordinates[je],Je);return Ge});let v=i.bt.VectorTileFeature.prototype.toGeoJSON;var x={exports:{}},b=i.bz,p=i.bt.VectorTileFeature,C=E;function E(dt,Ge){this.options=Ge||{},this.features=dt,this.length=dt.length}function A(dt,Ge){this.id=typeof dt.id==\"number\"?dt.id:void 0,this.type=dt.type,this.rawGeometry=dt.type===1?[dt.geometry]:dt.geometry,this.properties=dt.tags,this.extent=Ge||4096}E.prototype.feature=function(dt){return new A(this.features[dt],this.options.extent)},A.prototype.loadGeometry=function(){var dt=this.rawGeometry;this.geometry=[];for(var Ge=0;Ge<dt.length;Ge++){for(var Je=dt[Ge],je=[],$e=0;$e<Je.length;$e++)je.push(new b(Je[$e][0],Je[$e][1]));this.geometry.push(je)}return this.geometry},A.prototype.bbox=function(){this.geometry||this.loadGeometry();for(var dt=this.geometry,Ge=1/0,Je=-1/0,je=1/0,$e=-1/0,wt=0;wt<dt.length;wt++)for(var Ie=dt[wt],xe=0;xe<Ie.length;xe++){var Ce=Ie[xe];Ge=Math.min(Ge,Ce.x),Je=Math.max(Je,Ce.x),je=Math.min(je,Ce.y),$e=Math.max($e,Ce.y)}return[Ge,je,Je,$e]},A.prototype.toGeoJSON=p.prototype.toGeoJSON;var L=i.bA,_=C;function k(dt){var Ge=new L;return function(Je,je){for(var $e in Je.layers)je.writeMessage(3,M,Je.layers[$e])}(dt,Ge),Ge.finish()}function M(dt,Ge){var Je;Ge.writeVarintField(15,dt.version||1),Ge.writeStringField(1,dt.name||\"\"),Ge.writeVarintField(5,dt.extent||4096);var je={keys:[],values:[],keycache:{},valuecache:{}};for(Je=0;Je<dt.length;Je++)je.feature=dt.feature(Je),Ge.writeMessage(2,g,je);var $e=je.keys;for(Je=0;Je<$e.length;Je++)Ge.writeStringField(3,$e[Je]);var wt=je.values;for(Je=0;Je<wt.length;Je++)Ge.writeMessage(4,V,wt[Je])}function g(dt,Ge){var Je=dt.feature;Je.id!==void 0&&Ge.writeVarintField(1,Je.id),Ge.writeMessage(2,P,dt),Ge.writeVarintField(3,Je.type),Ge.writeMessage(4,O,Je)}function P(dt,Ge){var Je=dt.feature,je=dt.keys,$e=dt.values,wt=dt.keycache,Ie=dt.valuecache;for(var xe in Je.properties){var Ce=Je.properties[xe],vt=wt[xe];if(Ce!==null){vt===void 0&&(je.push(xe),wt[xe]=vt=je.length-1),Ge.writeVarint(vt);var nr=typeof Ce;nr!==\"string\"&&nr!==\"boolean\"&&nr!==\"number\"&&(Ce=JSON.stringify(Ce));var ir=nr+\":\"+Ce,pr=Ie[ir];pr===void 0&&($e.push(Ce),Ie[ir]=pr=$e.length-1),Ge.writeVarint(pr)}}}function T(dt,Ge){return(Ge<<3)+(7&dt)}function z(dt){return dt<<1^dt>>31}function O(dt,Ge){for(var Je=dt.loadGeometry(),je=dt.type,$e=0,wt=0,Ie=Je.length,xe=0;xe<Ie;xe++){var Ce=Je[xe],vt=1;je===1&&(vt=Ce.length),Ge.writeVarint(T(1,vt));for(var nr=je===3?Ce.length-1:Ce.length,ir=0;ir<nr;ir++){ir===1&&je!==1&&Ge.writeVarint(T(2,nr-1));var pr=Ce[ir].x-$e,oi=Ce[ir].y-wt;Ge.writeVarint(z(pr)),Ge.writeVarint(z(oi)),$e+=pr,wt+=oi}je===3&&Ge.writeVarint(T(7,1))}}function V(dt,Ge){var Je=typeof dt;Je===\"string\"?Ge.writeStringField(1,dt):Je===\"boolean\"?Ge.writeBooleanField(7,dt):Je===\"number\"&&(dt%1!=0?Ge.writeDoubleField(3,dt):dt<0?Ge.writeSVarintField(6,dt):Ge.writeVarintField(5,dt))}x.exports=k,x.exports.fromVectorTileJs=k,x.exports.fromGeojsonVt=function(dt,Ge){Ge=Ge||{};var Je={};for(var je in dt)Je[je]=new _(dt[je].features,Ge),Je[je].name=je,Je[je].version=Ge.version,Je[je].extent=Ge.extent;return k({layers:Je})},x.exports.GeoJSONWrapper=_;var G=i.by(x.exports);let Z={minZoom:0,maxZoom:16,minPoints:2,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:dt=>dt},H=Math.fround||(N=new Float32Array(1),dt=>(N[0]=+dt,N[0]));var N;let j=3,re=5,oe=6;class _e{constructor(Ge){this.options=Object.assign(Object.create(Z),Ge),this.trees=new Array(this.options.maxZoom+1),this.stride=this.options.reduce?7:6,this.clusterProps=[]}load(Ge){let{log:Je,minZoom:je,maxZoom:$e}=this.options;Je&&console.time(\"total time\");let wt=`prepare ${Ge.length} points`;Je&&console.time(wt),this.points=Ge;let Ie=[];for(let Ce=0;Ce<Ge.length;Ce++){let vt=Ge[Ce];if(!vt.geometry)continue;let[nr,ir]=vt.geometry.coordinates,pr=H(me(nr)),oi=H(ie(ir));Ie.push(pr,oi,1/0,Ce,-1,1),this.options.reduce&&Ie.push(0)}let xe=this.trees[$e+1]=this._createTree(Ie);Je&&console.timeEnd(wt);for(let Ce=$e;Ce>=je;Ce--){let vt=+Date.now();xe=this.trees[Ce]=this._createTree(this._cluster(xe,Ce)),Je&&console.log(\"z%d: %d clusters in %dms\",Ce,xe.numItems,+Date.now()-vt)}return Je&&console.timeEnd(\"total time\"),this}getClusters(Ge,Je){let je=((Ge[0]+180)%360+360)%360-180,$e=Math.max(-90,Math.min(90,Ge[1])),wt=Ge[2]===180?180:((Ge[2]+180)%360+360)%360-180,Ie=Math.max(-90,Math.min(90,Ge[3]));if(Ge[2]-Ge[0]>=360)je=-180,wt=180;else if(je>wt){let ir=this.getClusters([je,$e,180,Ie],Je),pr=this.getClusters([-180,$e,wt,Ie],Je);return ir.concat(pr)}let xe=this.trees[this._limitZoom(Je)],Ce=xe.range(me(je),ie(Ie),me(wt),ie($e)),vt=xe.data,nr=[];for(let ir of Ce){let pr=this.stride*ir;nr.push(vt[pr+re]>1?Me(vt,pr,this.clusterProps):this.points[vt[pr+j]])}return nr}getChildren(Ge){let Je=this._getOriginId(Ge),je=this._getOriginZoom(Ge),$e=\"No cluster with the specified id.\",wt=this.trees[je];if(!wt)throw new Error($e);let Ie=wt.data;if(Je*this.stride>=Ie.length)throw new Error($e);let xe=this.options.radius/(this.options.extent*Math.pow(2,je-1)),Ce=wt.within(Ie[Je*this.stride],Ie[Je*this.stride+1],xe),vt=[];for(let nr of Ce){let ir=nr*this.stride;Ie[ir+4]===Ge&&vt.push(Ie[ir+re]>1?Me(Ie,ir,this.clusterProps):this.points[Ie[ir+j]])}if(vt.length===0)throw new Error($e);return vt}getLeaves(Ge,Je,je){let $e=[];return this._appendLeaves($e,Ge,Je=Je||10,je=je||0,0),$e}getTile(Ge,Je,je){let $e=this.trees[this._limitZoom(Ge)],wt=Math.pow(2,Ge),{extent:Ie,radius:xe}=this.options,Ce=xe/Ie,vt=(je-Ce)/wt,nr=(je+1+Ce)/wt,ir={features:[]};return this._addTileFeatures($e.range((Je-Ce)/wt,vt,(Je+1+Ce)/wt,nr),$e.data,Je,je,wt,ir),Je===0&&this._addTileFeatures($e.range(1-Ce/wt,vt,1,nr),$e.data,wt,je,wt,ir),Je===wt-1&&this._addTileFeatures($e.range(0,vt,Ce/wt,nr),$e.data,-1,je,wt,ir),ir.features.length?ir:null}getClusterExpansionZoom(Ge){let Je=this._getOriginZoom(Ge)-1;for(;Je<=this.options.maxZoom;){let je=this.getChildren(Ge);if(Je++,je.length!==1)break;Ge=je[0].properties.cluster_id}return Je}_appendLeaves(Ge,Je,je,$e,wt){let Ie=this.getChildren(Je);for(let xe of Ie){let Ce=xe.properties;if(Ce&&Ce.cluster?wt+Ce.point_count<=$e?wt+=Ce.point_count:wt=this._appendLeaves(Ge,Ce.cluster_id,je,$e,wt):wt<$e?wt++:Ge.push(xe),Ge.length===je)break}return wt}_createTree(Ge){let Je=new i.av(Ge.length/this.stride|0,this.options.nodeSize,Float32Array);for(let je=0;je<Ge.length;je+=this.stride)Je.add(Ge[je],Ge[je+1]);return Je.finish(),Je.data=Ge,Je}_addTileFeatures(Ge,Je,je,$e,wt,Ie){for(let xe of Ge){let Ce=xe*this.stride,vt=Je[Ce+re]>1,nr,ir,pr;if(vt)nr=ke(Je,Ce,this.clusterProps),ir=Je[Ce],pr=Je[Ce+1];else{let Jr=this.points[Je[Ce+j]];nr=Jr.properties;let[fi,Hi]=Jr.geometry.coordinates;ir=me(fi),pr=ie(Hi)}let oi={type:1,geometry:[[Math.round(this.options.extent*(ir*wt-je)),Math.round(this.options.extent*(pr*wt-$e))]],tags:nr},di;di=vt||this.options.generateId?Je[Ce+j]:this.points[Je[Ce+j]].id,di!==void 0&&(oi.id=di),Ie.features.push(oi)}}_limitZoom(Ge){return Math.max(this.options.minZoom,Math.min(Math.floor(+Ge),this.options.maxZoom+1))}_cluster(Ge,Je){let{radius:je,extent:$e,reduce:wt,minPoints:Ie}=this.options,xe=je/($e*Math.pow(2,Je)),Ce=Ge.data,vt=[],nr=this.stride;for(let ir=0;ir<Ce.length;ir+=nr){if(Ce[ir+2]<=Je)continue;Ce[ir+2]=Je;let pr=Ce[ir],oi=Ce[ir+1],di=Ge.within(Ce[ir],Ce[ir+1],xe),Jr=Ce[ir+re],fi=Jr;for(let Hi of di){let Pn=Hi*nr;Ce[Pn+2]>Je&&(fi+=Ce[Pn+re])}if(fi>Jr&&fi>=Ie){let Hi,Pn=pr*Jr,wn=oi*Jr,pn=-1,Vn=((ir/nr|0)<<5)+(Je+1)+this.points.length;for(let kn of di){let ea=kn*nr;if(Ce[ea+2]<=Je)continue;Ce[ea+2]=Je;let ua=Ce[ea+re];Pn+=Ce[ea]*ua,wn+=Ce[ea+1]*ua,Ce[ea+4]=Vn,wt&&(Hi||(Hi=this._map(Ce,ir,!0),pn=this.clusterProps.length,this.clusterProps.push(Hi)),wt(Hi,this._map(Ce,ea)))}Ce[ir+4]=Vn,vt.push(Pn/fi,wn/fi,1/0,Vn,-1,fi),wt&&vt.push(pn)}else{for(let Hi=0;Hi<nr;Hi++)vt.push(Ce[ir+Hi]);if(fi>1)for(let Hi of di){let Pn=Hi*nr;if(!(Ce[Pn+2]<=Je)){Ce[Pn+2]=Je;for(let wn=0;wn<nr;wn++)vt.push(Ce[Pn+wn])}}}}return vt}_getOriginId(Ge){return Ge-this.points.length>>5}_getOriginZoom(Ge){return(Ge-this.points.length)%32}_map(Ge,Je,je){if(Ge[Je+re]>1){let Ie=this.clusterProps[Ge[Je+oe]];return je?Object.assign({},Ie):Ie}let $e=this.points[Ge[Je+j]].properties,wt=this.options.map($e);return je&&wt===$e?Object.assign({},wt):wt}}function Me(dt,Ge,Je){return{type:\"Feature\",id:dt[Ge+j],properties:ke(dt,Ge,Je),geometry:{type:\"Point\",coordinates:[(je=dt[Ge],360*(je-.5)),Se(dt[Ge+1])]}};var je}function ke(dt,Ge,Je){let je=dt[Ge+re],$e=je>=1e4?`${Math.round(je/1e3)}k`:je>=1e3?Math.round(je/100)/10+\"k\":je,wt=dt[Ge+oe],Ie=wt===-1?{}:Object.assign({},Je[wt]);return Object.assign(Ie,{cluster:!0,cluster_id:dt[Ge+j],point_count:je,point_count_abbreviated:$e})}function me(dt){return dt/360+.5}function ie(dt){let Ge=Math.sin(dt*Math.PI/180),Je=.5-.25*Math.log((1+Ge)/(1-Ge))/Math.PI;return Je<0?0:Je>1?1:Je}function Se(dt){let Ge=(180-360*dt)*Math.PI/180;return 360*Math.atan(Math.exp(Ge))/Math.PI-90}function Le(dt,Ge,Je,je){let $e=je,wt=Ge+(Je-Ge>>1),Ie,xe=Je-Ge,Ce=dt[Ge],vt=dt[Ge+1],nr=dt[Je],ir=dt[Je+1];for(let pr=Ge+3;pr<Je;pr+=3){let oi=Ae(dt[pr],dt[pr+1],Ce,vt,nr,ir);if(oi>$e)Ie=pr,$e=oi;else if(oi===$e){let di=Math.abs(pr-wt);di<xe&&(Ie=pr,xe=di)}}$e>je&&(Ie-Ge>3&&Le(dt,Ge,Ie,je),dt[Ie+2]=$e,Je-Ie>3&&Le(dt,Ie,Je,je))}function Ae(dt,Ge,Je,je,$e,wt){let Ie=$e-Je,xe=wt-je;if(Ie!==0||xe!==0){let Ce=((dt-Je)*Ie+(Ge-je)*xe)/(Ie*Ie+xe*xe);Ce>1?(Je=$e,je=wt):Ce>0&&(Je+=Ie*Ce,je+=xe*Ce)}return Ie=dt-Je,xe=Ge-je,Ie*Ie+xe*xe}function De(dt,Ge,Je,je){let $e={id:dt==null?null:dt,type:Ge,geometry:Je,tags:je,minX:1/0,minY:1/0,maxX:-1/0,maxY:-1/0};if(Ge===\"Point\"||Ge===\"MultiPoint\"||Ge===\"LineString\")Pe($e,Je);else if(Ge===\"Polygon\")Pe($e,Je[0]);else if(Ge===\"MultiLineString\")for(let wt of Je)Pe($e,wt);else if(Ge===\"MultiPolygon\")for(let wt of Je)Pe($e,wt[0]);return $e}function Pe(dt,Ge){for(let Je=0;Je<Ge.length;Je+=3)dt.minX=Math.min(dt.minX,Ge[Je]),dt.minY=Math.min(dt.minY,Ge[Je+1]),dt.maxX=Math.max(dt.maxX,Ge[Je]),dt.maxY=Math.max(dt.maxY,Ge[Je+1])}function ge(dt,Ge,Je,je){if(!Ge.geometry)return;let $e=Ge.geometry.coordinates;if($e&&$e.length===0)return;let wt=Ge.geometry.type,Ie=Math.pow(Je.tolerance/((1<<Je.maxZoom)*Je.extent),2),xe=[],Ce=Ge.id;if(Je.promoteId?Ce=Ge.properties[Je.promoteId]:Je.generateId&&(Ce=je||0),wt===\"Point\")Fe($e,xe);else if(wt===\"MultiPoint\")for(let vt of $e)Fe(vt,xe);else if(wt===\"LineString\")ce($e,xe,Ie,!1);else if(wt===\"MultiLineString\"){if(Je.lineMetrics){for(let vt of $e)xe=[],ce(vt,xe,Ie,!1),dt.push(De(Ce,\"LineString\",xe,Ge.properties));return}Ze($e,xe,Ie,!1)}else if(wt===\"Polygon\")Ze($e,xe,Ie,!0);else{if(wt!==\"MultiPolygon\"){if(wt===\"GeometryCollection\"){for(let vt of Ge.geometry.geometries)ge(dt,{id:Ce,geometry:vt,properties:Ge.properties},Je,je);return}throw new Error(\"Input data is not a valid GeoJSON object.\")}for(let vt of $e){let nr=[];Ze(vt,nr,Ie,!0),xe.push(nr)}}dt.push(De(Ce,wt,xe,Ge.properties))}function Fe(dt,Ge){Ge.push(ct(dt[0]),pt(dt[1]),0)}function ce(dt,Ge,Je,je){let $e,wt,Ie=0;for(let Ce=0;Ce<dt.length;Ce++){let vt=ct(dt[Ce][0]),nr=pt(dt[Ce][1]);Ge.push(vt,nr,0),Ce>0&&(Ie+=je?($e*nr-vt*wt)/2:Math.sqrt(Math.pow(vt-$e,2)+Math.pow(nr-wt,2))),$e=vt,wt=nr}let xe=Ge.length-3;Ge[2]=1,Le(Ge,0,xe,Je),Ge[xe+2]=1,Ge.size=Math.abs(Ie),Ge.start=0,Ge.end=Ge.size}function Ze(dt,Ge,Je,je){for(let $e=0;$e<dt.length;$e++){let wt=[];ce(dt[$e],wt,Je,je),Ge.push(wt)}}function ct(dt){return dt/360+.5}function pt(dt){let Ge=Math.sin(dt*Math.PI/180),Je=.5-.25*Math.log((1+Ge)/(1-Ge))/Math.PI;return Je<0?0:Je>1?1:Je}function Wt(dt,Ge,Je,je,$e,wt,Ie,xe){if(je/=Ge,wt>=(Je/=Ge)&&Ie<je)return dt;if(Ie<Je||wt>=je)return null;let Ce=[];for(let vt of dt){let nr=vt.geometry,ir=vt.type,pr=$e===0?vt.minX:vt.minY,oi=$e===0?vt.maxX:vt.maxY;if(pr>=Je&&oi<je){Ce.push(vt);continue}if(oi<Je||pr>=je)continue;let di=[];if(ir===\"Point\"||ir===\"MultiPoint\")st(nr,di,Je,je,$e);else if(ir===\"LineString\")lt(nr,di,Je,je,$e,!1,xe.lineMetrics);else if(ir===\"MultiLineString\")Nt(nr,di,Je,je,$e,!1);else if(ir===\"Polygon\")Nt(nr,di,Je,je,$e,!0);else if(ir===\"MultiPolygon\")for(let Jr of nr){let fi=[];Nt(Jr,fi,Je,je,$e,!0),fi.length&&di.push(fi)}if(di.length){if(xe.lineMetrics&&ir===\"LineString\"){for(let Jr of di)Ce.push(De(vt.id,ir,Jr,vt.tags));continue}ir!==\"LineString\"&&ir!==\"MultiLineString\"||(di.length===1?(ir=\"LineString\",di=di[0]):ir=\"MultiLineString\"),ir!==\"Point\"&&ir!==\"MultiPoint\"||(ir=di.length===3?\"Point\":\"MultiPoint\"),Ce.push(De(vt.id,ir,di,vt.tags))}}return Ce.length?Ce:null}function st(dt,Ge,Je,je,$e){for(let wt=0;wt<dt.length;wt+=3){let Ie=dt[wt+$e];Ie>=Je&&Ie<=je&&$t(Ge,dt[wt],dt[wt+1],dt[wt+2])}}function lt(dt,Ge,Je,je,$e,wt,Ie){let xe=Gt(dt),Ce=$e===0?sr:wr,vt,nr,ir=dt.start;for(let fi=0;fi<dt.length-3;fi+=3){let Hi=dt[fi],Pn=dt[fi+1],wn=dt[fi+2],pn=dt[fi+3],Vn=dt[fi+4],kn=$e===0?Hi:Pn,ea=$e===0?pn:Vn,ua=!1;Ie&&(vt=Math.sqrt(Math.pow(Hi-pn,2)+Math.pow(Pn-Vn,2))),kn<Je?ea>Je&&(nr=Ce(xe,Hi,Pn,pn,Vn,Je),Ie&&(xe.start=ir+vt*nr)):kn>je?ea<je&&(nr=Ce(xe,Hi,Pn,pn,Vn,je),Ie&&(xe.start=ir+vt*nr)):$t(xe,Hi,Pn,wn),ea<Je&&kn>=Je&&(nr=Ce(xe,Hi,Pn,pn,Vn,Je),ua=!0),ea>je&&kn<=je&&(nr=Ce(xe,Hi,Pn,pn,Vn,je),ua=!0),!wt&&ua&&(Ie&&(xe.end=ir+vt*nr),Ge.push(xe),xe=Gt(dt)),Ie&&(ir+=vt)}let pr=dt.length-3,oi=dt[pr],di=dt[pr+1],Jr=$e===0?oi:di;Jr>=Je&&Jr<=je&&$t(xe,oi,di,dt[pr+2]),pr=xe.length-3,wt&&pr>=3&&(xe[pr]!==xe[0]||xe[pr+1]!==xe[1])&&$t(xe,xe[0],xe[1],xe[2]),xe.length&&Ge.push(xe)}function Gt(dt){let Ge=[];return Ge.size=dt.size,Ge.start=dt.start,Ge.end=dt.end,Ge}function Nt(dt,Ge,Je,je,$e,wt){for(let Ie of dt)lt(Ie,Ge,Je,je,$e,wt,!1)}function $t(dt,Ge,Je,je){dt.push(Ge,Je,je)}function sr(dt,Ge,Je,je,$e,wt){let Ie=(wt-Ge)/(je-Ge);return $t(dt,wt,Je+($e-Je)*Ie,1),Ie}function wr(dt,Ge,Je,je,$e,wt){let Ie=(wt-Je)/($e-Je);return $t(dt,Ge+(je-Ge)*Ie,wt,1),Ie}function ur(dt,Ge){let Je=[];for(let je=0;je<dt.length;je++){let $e=dt[je],wt=$e.type,Ie;if(wt===\"Point\"||wt===\"MultiPoint\"||wt===\"LineString\")Ie=Qe($e.geometry,Ge);else if(wt===\"MultiLineString\"||wt===\"Polygon\"){Ie=[];for(let xe of $e.geometry)Ie.push(Qe(xe,Ge))}else if(wt===\"MultiPolygon\"){Ie=[];for(let xe of $e.geometry){let Ce=[];for(let vt of xe)Ce.push(Qe(vt,Ge));Ie.push(Ce)}}Je.push(De($e.id,wt,Ie,$e.tags))}return Je}function Qe(dt,Ge){let Je=[];Je.size=dt.size,dt.start!==void 0&&(Je.start=dt.start,Je.end=dt.end);for(let je=0;je<dt.length;je+=3)Je.push(dt[je]+Ge,dt[je+1],dt[je+2]);return Je}function Et(dt,Ge){if(dt.transformed)return dt;let Je=1<<dt.z,je=dt.x,$e=dt.y;for(let wt of dt.features){let Ie=wt.geometry,xe=wt.type;if(wt.geometry=[],xe===1)for(let Ce=0;Ce<Ie.length;Ce+=2)wt.geometry.push(er(Ie[Ce],Ie[Ce+1],Ge,Je,je,$e));else for(let Ce=0;Ce<Ie.length;Ce++){let vt=[];for(let nr=0;nr<Ie[Ce].length;nr+=2)vt.push(er(Ie[Ce][nr],Ie[Ce][nr+1],Ge,Je,je,$e));wt.geometry.push(vt)}}return dt.transformed=!0,dt}function er(dt,Ge,Je,je,$e,wt){return[Math.round(Je*(dt*je-$e)),Math.round(Je*(Ge*je-wt))]}function Ut(dt,Ge,Je,je,$e){let wt=Ge===$e.maxZoom?0:$e.tolerance/((1<<Ge)*$e.extent),Ie={features:[],numPoints:0,numSimplified:0,numFeatures:dt.length,source:null,x:Je,y:je,z:Ge,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0};for(let xe of dt)Ft(Ie,xe,wt,$e);return Ie}function Ft(dt,Ge,Je,je){let $e=Ge.geometry,wt=Ge.type,Ie=[];if(dt.minX=Math.min(dt.minX,Ge.minX),dt.minY=Math.min(dt.minY,Ge.minY),dt.maxX=Math.max(dt.maxX,Ge.maxX),dt.maxY=Math.max(dt.maxY,Ge.maxY),wt===\"Point\"||wt===\"MultiPoint\")for(let xe=0;xe<$e.length;xe+=3)Ie.push($e[xe],$e[xe+1]),dt.numPoints++,dt.numSimplified++;else if(wt===\"LineString\")bt(Ie,$e,dt,Je,!1,!1);else if(wt===\"MultiLineString\"||wt===\"Polygon\")for(let xe=0;xe<$e.length;xe++)bt(Ie,$e[xe],dt,Je,wt===\"Polygon\",xe===0);else if(wt===\"MultiPolygon\")for(let xe=0;xe<$e.length;xe++){let Ce=$e[xe];for(let vt=0;vt<Ce.length;vt++)bt(Ie,Ce[vt],dt,Je,!0,vt===0)}if(Ie.length){let xe=Ge.tags||null;if(wt===\"LineString\"&&je.lineMetrics){xe={};for(let vt in Ge.tags)xe[vt]=Ge.tags[vt];xe.mapbox_clip_start=$e.start/$e.size,xe.mapbox_clip_end=$e.end/$e.size}let Ce={geometry:Ie,type:wt===\"Polygon\"||wt===\"MultiPolygon\"?3:wt===\"LineString\"||wt===\"MultiLineString\"?2:1,tags:xe};Ge.id!==null&&(Ce.id=Ge.id),dt.features.push(Ce)}}function bt(dt,Ge,Je,je,$e,wt){let Ie=je*je;if(je>0&&Ge.size<($e?Ie:je))return void(Je.numPoints+=Ge.length/3);let xe=[];for(let Ce=0;Ce<Ge.length;Ce+=3)(je===0||Ge[Ce+2]>Ie)&&(Je.numSimplified++,xe.push(Ge[Ce],Ge[Ce+1])),Je.numPoints++;$e&&function(Ce,vt){let nr=0;for(let ir=0,pr=Ce.length,oi=pr-2;ir<pr;oi=ir,ir+=2)nr+=(Ce[ir]-Ce[oi])*(Ce[ir+1]+Ce[oi+1]);if(nr>0===vt)for(let ir=0,pr=Ce.length;ir<pr/2;ir+=2){let oi=Ce[ir],di=Ce[ir+1];Ce[ir]=Ce[pr-2-ir],Ce[ir+1]=Ce[pr-1-ir],Ce[pr-2-ir]=oi,Ce[pr-1-ir]=di}}(xe,wt),dt.push(xe)}let yt={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0};class Yt{constructor(Ge,Je){let je=(Je=this.options=function(wt,Ie){for(let xe in Ie)wt[xe]=Ie[xe];return wt}(Object.create(yt),Je)).debug;if(je&&console.time(\"preprocess data\"),Je.maxZoom<0||Je.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(Je.promoteId&&Je.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");let $e=function(wt,Ie){let xe=[];if(wt.type===\"FeatureCollection\")for(let Ce=0;Ce<wt.features.length;Ce++)ge(xe,wt.features[Ce],Ie,Ce);else ge(xe,wt.type===\"Feature\"?wt:{geometry:wt},Ie);return xe}(Ge,Je);this.tiles={},this.tileCoords=[],je&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",Je.indexMaxZoom,Je.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),$e=function(wt,Ie){let xe=Ie.buffer/Ie.extent,Ce=wt,vt=Wt(wt,1,-1-xe,xe,0,-1,2,Ie),nr=Wt(wt,1,1-xe,2+xe,0,-1,2,Ie);return(vt||nr)&&(Ce=Wt(wt,1,-xe,1+xe,0,-1,2,Ie)||[],vt&&(Ce=ur(vt,1).concat(Ce)),nr&&(Ce=Ce.concat(ur(nr,-1)))),Ce}($e,Je),$e.length&&this.splitTile($e,0,0,0),je&&($e.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(Ge,Je,je,$e,wt,Ie,xe){let Ce=[Ge,Je,je,$e],vt=this.options,nr=vt.debug;for(;Ce.length;){$e=Ce.pop(),je=Ce.pop(),Je=Ce.pop(),Ge=Ce.pop();let ir=1<<Je,pr=lr(Je,je,$e),oi=this.tiles[pr];if(!oi&&(nr>1&&console.time(\"creation\"),oi=this.tiles[pr]=Ut(Ge,Je,je,$e,vt),this.tileCoords.push({z:Je,x:je,y:$e}),nr)){nr>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",Je,je,$e,oi.numFeatures,oi.numPoints,oi.numSimplified),console.timeEnd(\"creation\"));let ua=`z${Je}`;this.stats[ua]=(this.stats[ua]||0)+1,this.total++}if(oi.source=Ge,wt==null){if(Je===vt.indexMaxZoom||oi.numPoints<=vt.indexMaxPoints)continue}else{if(Je===vt.maxZoom||Je===wt)continue;if(wt!=null){let ua=wt-Je;if(je!==Ie>>ua||$e!==xe>>ua)continue}}if(oi.source=null,Ge.length===0)continue;nr>1&&console.time(\"clipping\");let di=.5*vt.buffer/vt.extent,Jr=.5-di,fi=.5+di,Hi=1+di,Pn=null,wn=null,pn=null,Vn=null,kn=Wt(Ge,ir,je-di,je+fi,0,oi.minX,oi.maxX,vt),ea=Wt(Ge,ir,je+Jr,je+Hi,0,oi.minX,oi.maxX,vt);Ge=null,kn&&(Pn=Wt(kn,ir,$e-di,$e+fi,1,oi.minY,oi.maxY,vt),wn=Wt(kn,ir,$e+Jr,$e+Hi,1,oi.minY,oi.maxY,vt),kn=null),ea&&(pn=Wt(ea,ir,$e-di,$e+fi,1,oi.minY,oi.maxY,vt),Vn=Wt(ea,ir,$e+Jr,$e+Hi,1,oi.minY,oi.maxY,vt),ea=null),nr>1&&console.timeEnd(\"clipping\"),Ce.push(Pn||[],Je+1,2*je,2*$e),Ce.push(wn||[],Je+1,2*je,2*$e+1),Ce.push(pn||[],Je+1,2*je+1,2*$e),Ce.push(Vn||[],Je+1,2*je+1,2*$e+1)}}getTile(Ge,Je,je){Ge=+Ge,Je=+Je,je=+je;let $e=this.options,{extent:wt,debug:Ie}=$e;if(Ge<0||Ge>24)return null;let xe=1<<Ge,Ce=lr(Ge,Je=Je+xe&xe-1,je);if(this.tiles[Ce])return Et(this.tiles[Ce],wt);Ie>1&&console.log(\"drilling down to z%d-%d-%d\",Ge,Je,je);let vt,nr=Ge,ir=Je,pr=je;for(;!vt&&nr>0;)nr--,ir>>=1,pr>>=1,vt=this.tiles[lr(nr,ir,pr)];return vt&&vt.source?(Ie>1&&(console.log(\"found parent tile z%d-%d-%d\",nr,ir,pr),console.time(\"drilling down\")),this.splitTile(vt.source,nr,ir,pr,Ge,Je,je),Ie>1&&console.timeEnd(\"drilling down\"),this.tiles[Ce]?Et(this.tiles[Ce],wt):null):null}}function lr(dt,Ge,Je){return 32*((1<<dt)*Je+Ge)+dt}function Tr(dt,Ge){return Ge?dt.properties[Ge]:dt.id}function Rr(dt,Ge){if(dt==null)return!0;if(dt.type===\"Feature\")return Tr(dt,Ge)!=null;if(dt.type===\"FeatureCollection\"){let Je=new Set;for(let je of dt.features){let $e=Tr(je,Ge);if($e==null||Je.has($e))return!1;Je.add($e)}return!0}return!1}function ei(dt,Ge){let Je=new Map;if(dt!=null)if(dt.type===\"Feature\")Je.set(Tr(dt,Ge),dt);else for(let je of dt.features)Je.set(Tr(je,Ge),je);return Je}class Wr extends u{constructor(){super(...arguments),this._dataUpdateable=new Map}loadVectorTile(Ge,Je){return i._(this,void 0,void 0,function*(){let je=Ge.tileID.canonical;if(!this._geoJSONIndex)throw new Error(\"Unable to parse the data into a cluster or geojson\");let $e=this._geoJSONIndex.getTile(je.z,je.x,je.y);if(!$e)return null;let wt=new class{constructor(xe){this.layers={_geojsonTileLayer:this},this.name=\"_geojsonTileLayer\",this.extent=i.X,this.length=xe.length,this._features=xe}feature(xe){return new class{constructor(Ce){this._feature=Ce,this.extent=i.X,this.type=Ce.type,this.properties=Ce.tags,\"id\"in Ce&&!isNaN(Ce.id)&&(this.id=parseInt(Ce.id,10))}loadGeometry(){if(this._feature.type===1){let Ce=[];for(let vt of this._feature.geometry)Ce.push([new i.P(vt[0],vt[1])]);return Ce}{let Ce=[];for(let vt of this._feature.geometry){let nr=[];for(let ir of vt)nr.push(new i.P(ir[0],ir[1]));Ce.push(nr)}return Ce}}toGeoJSON(Ce,vt,nr){return v.call(this,Ce,vt,nr)}}(this._features[xe])}}($e.features),Ie=G(wt);return Ie.byteOffset===0&&Ie.byteLength===Ie.buffer.byteLength||(Ie=new Uint8Array(Ie)),{vectorTile:wt,rawData:Ie.buffer}})}loadData(Ge){return i._(this,void 0,void 0,function*(){var Je;(Je=this._pendingRequest)===null||Je===void 0||Je.abort();let je=!!(Ge&&Ge.request&&Ge.request.collectResourceTiming)&&new i.bv(Ge.request);this._pendingRequest=new AbortController;try{this._pendingData=this.loadAndProcessGeoJSON(Ge,this._pendingRequest),this._geoJSONIndex=Ge.cluster?new _e(function({superclusterOptions:Ie,clusterProperties:xe}){if(!xe||!Ie)return Ie;let Ce={},vt={},nr={accumulated:null,zoom:0},ir={properties:null},pr=Object.keys(xe);for(let oi of pr){let[di,Jr]=xe[oi],fi=i.bC(Jr),Hi=i.bC(typeof di==\"string\"?[di,[\"accumulated\"],[\"get\",oi]]:di);Ce[oi]=fi.value,vt[oi]=Hi.value}return Ie.map=oi=>{ir.properties=oi;let di={};for(let Jr of pr)di[Jr]=Ce[Jr].evaluate(nr,ir);return di},Ie.reduce=(oi,di)=>{ir.properties=di;for(let Jr of pr)nr.accumulated=oi[Jr],oi[Jr]=vt[Jr].evaluate(nr,ir)},Ie}(Ge)).load((yield this._pendingData).features):($e=yield this._pendingData,new Yt($e,Ge.geojsonVtOptions)),this.loaded={};let wt={};if(je){let Ie=je.finish();Ie&&(wt.resourceTiming={},wt.resourceTiming[Ge.source]=JSON.parse(JSON.stringify(Ie)))}return wt}catch(wt){if(delete this._pendingRequest,i.bB(wt))return{abandoned:!0};throw wt}var $e})}getData(){return i._(this,void 0,void 0,function*(){return this._pendingData})}reloadTile(Ge){let Je=this.loaded;return Je&&Je[Ge.uid]?super.reloadTile(Ge):this.loadTile(Ge)}loadAndProcessGeoJSON(Ge,Je){return i._(this,void 0,void 0,function*(){let je=yield this.loadGeoJSON(Ge,Je);if(delete this._pendingRequest,typeof je!=\"object\")throw new Error(`Input data given to '${Ge.source}' is not a valid GeoJSON object.`);if(d(je,!0),Ge.filter){let $e=i.bC(Ge.filter,{type:\"boolean\",\"property-type\":\"data-driven\",overridable:!1,transition:!1});if($e.result===\"error\")throw new Error($e.value.map(Ie=>`${Ie.key}: ${Ie.message}`).join(\", \"));je={type:\"FeatureCollection\",features:je.features.filter(Ie=>$e.value.evaluate({zoom:0},Ie))}}return je})}loadGeoJSON(Ge,Je){return i._(this,void 0,void 0,function*(){let{promoteId:je}=Ge;if(Ge.request){let $e=yield i.h(Ge.request,Je);return this._dataUpdateable=Rr($e.data,je)?ei($e.data,je):void 0,$e.data}if(typeof Ge.data==\"string\")try{let $e=JSON.parse(Ge.data);return this._dataUpdateable=Rr($e,je)?ei($e,je):void 0,$e}catch($e){throw new Error(`Input data given to '${Ge.source}' is not a valid GeoJSON object.`)}if(!Ge.dataDiff)throw new Error(`Input data given to '${Ge.source}' is not a valid GeoJSON object.`);if(!this._dataUpdateable)throw new Error(`Cannot update existing geojson data in ${Ge.source}`);return function($e,wt,Ie){var xe,Ce,vt,nr;if(wt.removeAll&&$e.clear(),wt.remove)for(let ir of wt.remove)$e.delete(ir);if(wt.add)for(let ir of wt.add){let pr=Tr(ir,Ie);pr!=null&&$e.set(pr,ir)}if(wt.update)for(let ir of wt.update){let pr=$e.get(ir.id);if(pr==null)continue;let oi=!ir.removeAllProperties&&(((xe=ir.removeProperties)===null||xe===void 0?void 0:xe.length)>0||((Ce=ir.addOrUpdateProperties)===null||Ce===void 0?void 0:Ce.length)>0);if((ir.newGeometry||ir.removeAllProperties||oi)&&(pr=Object.assign({},pr),$e.set(ir.id,pr),oi&&(pr.properties=Object.assign({},pr.properties))),ir.newGeometry&&(pr.geometry=ir.newGeometry),ir.removeAllProperties)pr.properties={};else if(((vt=ir.removeProperties)===null||vt===void 0?void 0:vt.length)>0)for(let di of ir.removeProperties)Object.prototype.hasOwnProperty.call(pr.properties,di)&&delete pr.properties[di];if(((nr=ir.addOrUpdateProperties)===null||nr===void 0?void 0:nr.length)>0)for(let{key:di,value:Jr}of ir.addOrUpdateProperties)pr.properties[di]=Jr}}(this._dataUpdateable,Ge.dataDiff,je),{type:\"FeatureCollection\",features:Array.from(this._dataUpdateable.values())}})}removeSource(Ge){return i._(this,void 0,void 0,function*(){this._pendingRequest&&this._pendingRequest.abort()})}getClusterExpansionZoom(Ge){return this._geoJSONIndex.getClusterExpansionZoom(Ge.clusterId)}getClusterChildren(Ge){return this._geoJSONIndex.getChildren(Ge.clusterId)}getClusterLeaves(Ge){return this._geoJSONIndex.getLeaves(Ge.clusterId,Ge.limit,Ge.offset)}}class Ur{constructor(Ge){this.self=Ge,this.actor=new i.F(Ge),this.layerIndexes={},this.availableImages={},this.workerSources={},this.demWorkerSources={},this.externalWorkerSourceTypes={},this.self.registerWorkerSource=(Je,je)=>{if(this.externalWorkerSourceTypes[Je])throw new Error(`Worker source with name \"${Je}\" already registered.`);this.externalWorkerSourceTypes[Je]=je},this.self.addProtocol=i.bi,this.self.removeProtocol=i.bj,this.self.registerRTLTextPlugin=Je=>{if(i.bD.isParsed())throw new Error(\"RTL text plugin already registered.\");i.bD.setMethods(Je)},this.actor.registerMessageHandler(\"LDT\",(Je,je)=>this._getDEMWorkerSource(Je,je.source).loadTile(je)),this.actor.registerMessageHandler(\"RDT\",(Je,je)=>i._(this,void 0,void 0,function*(){this._getDEMWorkerSource(Je,je.source).removeTile(je)})),this.actor.registerMessageHandler(\"GCEZ\",(Je,je)=>i._(this,void 0,void 0,function*(){return this._getWorkerSource(Je,je.type,je.source).getClusterExpansionZoom(je)})),this.actor.registerMessageHandler(\"GCC\",(Je,je)=>i._(this,void 0,void 0,function*(){return this._getWorkerSource(Je,je.type,je.source).getClusterChildren(je)})),this.actor.registerMessageHandler(\"GCL\",(Je,je)=>i._(this,void 0,void 0,function*(){return this._getWorkerSource(Je,je.type,je.source).getClusterLeaves(je)})),this.actor.registerMessageHandler(\"LD\",(Je,je)=>this._getWorkerSource(Je,je.type,je.source).loadData(je)),this.actor.registerMessageHandler(\"GD\",(Je,je)=>this._getWorkerSource(Je,je.type,je.source).getData()),this.actor.registerMessageHandler(\"LT\",(Je,je)=>this._getWorkerSource(Je,je.type,je.source).loadTile(je)),this.actor.registerMessageHandler(\"RT\",(Je,je)=>this._getWorkerSource(Je,je.type,je.source).reloadTile(je)),this.actor.registerMessageHandler(\"AT\",(Je,je)=>this._getWorkerSource(Je,je.type,je.source).abortTile(je)),this.actor.registerMessageHandler(\"RMT\",(Je,je)=>this._getWorkerSource(Je,je.type,je.source).removeTile(je)),this.actor.registerMessageHandler(\"RS\",(Je,je)=>i._(this,void 0,void 0,function*(){if(!this.workerSources[Je]||!this.workerSources[Je][je.type]||!this.workerSources[Je][je.type][je.source])return;let $e=this.workerSources[Je][je.type][je.source];delete this.workerSources[Je][je.type][je.source],$e.removeSource!==void 0&&$e.removeSource(je)})),this.actor.registerMessageHandler(\"RM\",Je=>i._(this,void 0,void 0,function*(){delete this.layerIndexes[Je],delete this.availableImages[Je],delete this.workerSources[Je],delete this.demWorkerSources[Je]})),this.actor.registerMessageHandler(\"SR\",(Je,je)=>i._(this,void 0,void 0,function*(){this.referrer=je})),this.actor.registerMessageHandler(\"SRPS\",(Je,je)=>this._syncRTLPluginState(Je,je)),this.actor.registerMessageHandler(\"IS\",(Je,je)=>i._(this,void 0,void 0,function*(){this.self.importScripts(je)})),this.actor.registerMessageHandler(\"SI\",(Je,je)=>this._setImages(Je,je)),this.actor.registerMessageHandler(\"UL\",(Je,je)=>i._(this,void 0,void 0,function*(){this._getLayerIndex(Je).update(je.layers,je.removedIds)})),this.actor.registerMessageHandler(\"SL\",(Je,je)=>i._(this,void 0,void 0,function*(){this._getLayerIndex(Je).replace(je)}))}_setImages(Ge,Je){return i._(this,void 0,void 0,function*(){this.availableImages[Ge]=Je;for(let je in this.workerSources[Ge]){let $e=this.workerSources[Ge][je];for(let wt in $e)$e[wt].availableImages=Je}})}_syncRTLPluginState(Ge,Je){return i._(this,void 0,void 0,function*(){if(i.bD.isParsed())return i.bD.getState();if(Je.pluginStatus!==\"loading\")return i.bD.setState(Je),Je;let je=Je.pluginURL;if(this.self.importScripts(je),i.bD.isParsed()){let $e={pluginStatus:\"loaded\",pluginURL:je};return i.bD.setState($e),$e}throw i.bD.setState({pluginStatus:\"error\",pluginURL:\"\"}),new Error(`RTL Text Plugin failed to import scripts from ${je}`)})}_getAvailableImages(Ge){let Je=this.availableImages[Ge];return Je||(Je=[]),Je}_getLayerIndex(Ge){let Je=this.layerIndexes[Ge];return Je||(Je=this.layerIndexes[Ge]=new a),Je}_getWorkerSource(Ge,Je,je){if(this.workerSources[Ge]||(this.workerSources[Ge]={}),this.workerSources[Ge][Je]||(this.workerSources[Ge][Je]={}),!this.workerSources[Ge][Je][je]){let $e={sendAsync:(wt,Ie)=>(wt.targetMapId=Ge,this.actor.sendAsync(wt,Ie))};switch(Je){case\"vector\":this.workerSources[Ge][Je][je]=new u($e,this._getLayerIndex(Ge),this._getAvailableImages(Ge));break;case\"geojson\":this.workerSources[Ge][Je][je]=new Wr($e,this._getLayerIndex(Ge),this._getAvailableImages(Ge));break;default:this.workerSources[Ge][Je][je]=new this.externalWorkerSourceTypes[Je]($e,this._getLayerIndex(Ge),this._getAvailableImages(Ge))}}return this.workerSources[Ge][Je][je]}_getDEMWorkerSource(Ge,Je){return this.demWorkerSources[Ge]||(this.demWorkerSources[Ge]={}),this.demWorkerSources[Ge][Je]||(this.demWorkerSources[Ge][Je]=new c),this.demWorkerSources[Ge][Je]}}return i.i(self)&&(self.worker=new Ur(self)),Ur}),r(\"index\",[\"exports\",\"./shared\"],function(i,a){\"use strict\";var o=\"4.7.1\";let s,l,u={now:typeof performance!=\"undefined\"&&performance&&performance.now?performance.now.bind(performance):Date.now.bind(Date),frameAsync:ue=>new Promise((w,B)=>{let 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B=w.getBoundingClientRect();return{x:B.width/w.offsetWidth||1,y:B.height/w.offsetHeight||1,boundingClientRect:B}}static getPoint(w,B,Q){let ee=B.boundingClientRect;return new a.P((Q.clientX-ee.left)/B.x-w.clientLeft,(Q.clientY-ee.top)/B.y-w.clientTop)}static mousePos(w,B){let Q=c.getScale(w);return c.getPoint(w,Q,B)}static touchPos(w,B){let Q=[],ee=c.getScale(w);for(let le=0;le<B.length;le++)Q.push(c.getPoint(w,ee,B[le]));return Q}static mouseButton(w){return w.button}static remove(w){w.parentNode&&w.parentNode.removeChild(w)}}c.docStyle=typeof window!=\"undefined\"&&window.document&&window.document.documentElement.style,c.selectProp=c.testProp([\"userSelect\",\"MozUserSelect\",\"WebkitUserSelect\",\"msUserSelect\"]),c.transformProp=c.testProp([\"transform\",\"WebkitTransform\"]);let f={supported:!1,testSupport:function(ue){!v&&d&&(x?b(ue):h=ue)}},h,d,v=!1,x=!1;function b(ue){let w=ue.createTexture();ue.bindTexture(ue.TEXTURE_2D,w);try{if(ue.texImage2D(ue.TEXTURE_2D,0,ue.RGBA,ue.RGBA,ue.UNSIGNED_BYTE,d),ue.isContextLost())return;f.supported=!0}catch(B){}ue.deleteTexture(w),v=!0}var p;typeof document!=\"undefined\"&&(d=document.createElement(\"img\"),d.onload=()=>{h&&b(h),h=null,x=!0},d.onerror=()=>{v=!0,h=null},d.src=\"data:image/webp;base64,UklGRh4AAABXRUJQVlA4TBEAAAAvAQAAAAfQ//73v/+BiOh/AAA=\"),function(ue){let w,B,Q,ee;ue.resetRequestQueue=()=>{w=[],B=0,Q=0,ee={}},ue.addThrottleControl=ot=>{let Tt=Q++;return ee[Tt]=ot,Tt},ue.removeThrottleControl=ot=>{delete ee[ot],qe()},ue.getImage=(ot,Tt,Kt=!0)=>new Promise((Jt,xr)=>{f.supported&&(ot.headers||(ot.headers={}),ot.headers.accept=\"image/webp,*/*\"),a.e(ot,{type:\"image\"}),w.push({abortController:Tt,requestParameters:ot,supportImageRefresh:Kt,state:\"queued\",onError:Pr=>{xr(Pr)},onSuccess:Pr=>{Jt(Pr)}}),qe()});let le=ot=>a._(this,void 0,void 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Image,Pr=ot.url,ve=ot.credentials;ve&&ve===\"include\"?xr.crossOrigin=\"use-credentials\":(ve&&ve===\"same-origin\"||!a.s(Pr))&&(xr.crossOrigin=\"anonymous\"),Tt.signal.addEventListener(\"abort\",()=>{xr.src=\"\",Jt(a.c())}),xr.fetchPriority=\"high\",xr.onload=()=>{xr.onerror=xr.onload=null,Kt({data:xr})},xr.onerror=()=>{xr.onerror=xr.onload=null,Tt.signal.aborted||Jt(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.\"))},xr.src=Pr})}(p||(p={})),p.resetRequestQueue();class C{constructor(w){this._transformRequestFn=w}transformRequest(w,B){return this._transformRequestFn&&this._transformRequestFn(w,B)||{url:w}}setTransformRequest(w){this._transformRequestFn=w}}function E(ue){var w=new a.A(3);return w[0]=ue[0],w[1]=ue[1],w[2]=ue[2],w}var A,L=function(ue,w,B){return ue[0]=w[0]-B[0],ue[1]=w[1]-B[1],ue[2]=w[2]-B[2],ue};A=new a.A(3),a.A!=Float32Array&&(A[0]=0,A[1]=0,A[2]=0);var _=function(ue){var w=ue[0],B=ue[1];return w*w+B*B};function k(ue){let w=[];if(typeof ue==\"string\")w.push({id:\"default\",url:ue});else if(ue&&ue.length>0){let B=[];for(let{id:Q,url:ee}of ue){let le=`${Q}${ee}`;B.indexOf(le)===-1&&(B.push(le),w.push({id:Q,url:ee}))}}return w}function M(ue,w,B){let Q=ue.split(\"?\");return Q[0]+=`${w}${B}`,Q.join(\"?\")}(function(){var ue=new a.A(2);a.A!=Float32Array&&(ue[0]=0,ue[1]=0)})();class g{constructor(w,B,Q,ee){this.context=w,this.format=Q,this.texture=w.gl.createTexture(),this.update(B,ee)}update(w,B,Q){let{width:ee,height:le}=w,qe=!(this.size&&this.size[0]===ee&&this.size[1]===le||Q),{context:Xe}=this,{gl:ot}=Xe;if(this.useMipmap=!!(B&&B.useMipmap),ot.bindTexture(ot.TEXTURE_2D,this.texture),Xe.pixelStoreUnpackFlipY.set(!1),Xe.pixelStoreUnpack.set(1),Xe.pixelStoreUnpackPremultiplyAlpha.set(this.format===ot.RGBA&&(!B||B.premultiply!==!1)),qe)this.size=[ee,le],w instanceof HTMLImageElement||w instanceof HTMLCanvasElement||w instanceof HTMLVideoElement||w instanceof ImageData||a.b(w)?ot.texImage2D(ot.TEXTURE_2D,0,this.format,this.format,ot.UNSIGNED_BYTE,w):ot.texImage2D(ot.TEXTURE_2D,0,this.format,ee,le,0,this.format,ot.UNSIGNED_BYTE,w.data);else{let{x:Tt,y:Kt}=Q||{x:0,y:0};w instanceof HTMLImageElement||w instanceof HTMLCanvasElement||w instanceof HTMLVideoElement||w instanceof ImageData||a.b(w)?ot.texSubImage2D(ot.TEXTURE_2D,0,Tt,Kt,ot.RGBA,ot.UNSIGNED_BYTE,w):ot.texSubImage2D(ot.TEXTURE_2D,0,Tt,Kt,ee,le,ot.RGBA,ot.UNSIGNED_BYTE,w.data)}this.useMipmap&&this.isSizePowerOfTwo()&&ot.generateMipmap(ot.TEXTURE_2D)}bind(w,B,Q){let{context:ee}=this,{gl:le}=ee;le.bindTexture(le.TEXTURE_2D,this.texture),Q!==le.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(Q=le.LINEAR),w!==this.filter&&(le.texParameteri(le.TEXTURE_2D,le.TEXTURE_MAG_FILTER,w),le.texParameteri(le.TEXTURE_2D,le.TEXTURE_MIN_FILTER,Q||w),this.filter=w),B!==this.wrap&&(le.texParameteri(le.TEXTURE_2D,le.TEXTURE_WRAP_S,B),le.texParameteri(le.TEXTURE_2D,le.TEXTURE_WRAP_T,B),this.wrap=B)}isSizePowerOfTwo(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0}destroy(){let{gl:w}=this.context;w.deleteTexture(this.texture),this.texture=null}}function P(ue){let{userImage:w}=ue;return!!(w&&w.render&&w.render())&&(ue.data.replace(new Uint8Array(w.data.buffer)),!0)}class T extends a.E{constructor(){super(),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new a.R({width:1,height:1}),this.dirty=!0}isLoaded(){return this.loaded}setLoaded(w){if(this.loaded!==w&&(this.loaded=w,w)){for(let{ids:B,promiseResolve:Q}of this.requestors)Q(this._getImagesForIds(B));this.requestors=[]}}getImage(w){let B=this.images[w];if(B&&!B.data&&B.spriteData){let Q=B.spriteData;B.data=new a.R({width:Q.width,height:Q.height},Q.context.getImageData(Q.x,Q.y,Q.width,Q.height).data),B.spriteData=null}return B}addImage(w,B){if(this.images[w])throw new Error(`Image id ${w} already exist, use updateImage instead`);this._validate(w,B)&&(this.images[w]=B)}_validate(w,B){let Q=!0,ee=B.data||B.spriteData;return this._validateStretch(B.stretchX,ee&&ee.width)||(this.fire(new a.j(new Error(`Image \"${w}\" has invalid \"stretchX\" value`))),Q=!1),this._validateStretch(B.stretchY,ee&&ee.height)||(this.fire(new a.j(new Error(`Image \"${w}\" has invalid \"stretchY\" value`))),Q=!1),this._validateContent(B.content,B)||(this.fire(new a.j(new Error(`Image \"${w}\" has invalid \"content\" value`))),Q=!1),Q}_validateStretch(w,B){if(!w)return!0;let Q=0;for(let ee of w){if(ee[0]<Q||ee[1]<ee[0]||B<ee[1])return!1;Q=ee[1]}return!0}_validateContent(w,B){if(!w)return!0;if(w.length!==4)return!1;let Q=B.spriteData,ee=Q&&Q.width||B.data.width,le=Q&&Q.height||B.data.height;return!(w[0]<0||ee<w[0]||w[1]<0||le<w[1]||w[2]<0||ee<w[2]||w[3]<0||le<w[3]||w[2]<w[0]||w[3]<w[1])}updateImage(w,B,Q=!0){let ee=this.getImage(w);if(Q&&(ee.data.width!==B.data.width||ee.data.height!==B.data.height))throw new Error(`size mismatch between old image (${ee.data.width}x${ee.data.height}) and new image (${B.data.width}x${B.data.height}).`);B.version=ee.version+1,this.images[w]=B,this.updatedImages[w]=!0}removeImage(w){let B=this.images[w];delete this.images[w],delete this.patterns[w],B.userImage&&B.userImage.onRemove&&B.userImage.onRemove()}listImages(){return Object.keys(this.images)}getImages(w){return new Promise((B,Q)=>{let ee=!0;if(!this.isLoaded())for(let le of w)this.images[le]||(ee=!1);this.isLoaded()||ee?B(this._getImagesForIds(w)):this.requestors.push({ids:w,promiseResolve:B})})}_getImagesForIds(w){let B={};for(let Q of w){let ee=this.getImage(Q);ee||(this.fire(new a.k(\"styleimagemissing\",{id:Q})),ee=this.getImage(Q)),ee?B[Q]={data:ee.data.clone(),pixelRatio:ee.pixelRatio,sdf:ee.sdf,version:ee.version,stretchX:ee.stretchX,stretchY:ee.stretchY,content:ee.content,textFitWidth:ee.textFitWidth,textFitHeight:ee.textFitHeight,hasRenderCallback:!!(ee.userImage&&ee.userImage.render)}:a.w(`Image \"${Q}\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.`)}return B}getPixelSize(){let{width:w,height:B}=this.atlasImage;return{width:w,height:B}}getPattern(w){let B=this.patterns[w],Q=this.getImage(w);if(!Q)return null;if(B&&B.position.version===Q.version)return B.position;if(B)B.position.version=Q.version;else{let ee={w:Q.data.width+2,h:Q.data.height+2,x:0,y:0},le=new a.I(ee,Q);this.patterns[w]={bin:ee,position:le}}return this._updatePatternAtlas(),this.patterns[w].position}bind(w){let B=w.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new g(w,this.atlasImage,B.RGBA),this.atlasTexture.bind(B.LINEAR,B.CLAMP_TO_EDGE)}_updatePatternAtlas(){let w=[];for(let le in this.patterns)w.push(this.patterns[le].bin);let{w:B,h:Q}=a.p(w),ee=this.atlasImage;ee.resize({width:B||1,height:Q||1});for(let le in this.patterns){let{bin:qe}=this.patterns[le],Xe=qe.x+1,ot=qe.y+1,Tt=this.getImage(le).data,Kt=Tt.width,Jt=Tt.height;a.R.copy(Tt,ee,{x:0,y:0},{x:Xe,y:ot},{width:Kt,height:Jt}),a.R.copy(Tt,ee,{x:0,y:Jt-1},{x:Xe,y:ot-1},{width:Kt,height:1}),a.R.copy(Tt,ee,{x:0,y:0},{x:Xe,y:ot+Jt},{width:Kt,height:1}),a.R.copy(Tt,ee,{x:Kt-1,y:0},{x:Xe-1,y:ot},{width:1,height:Jt}),a.R.copy(Tt,ee,{x:0,y:0},{x:Xe+Kt,y:ot},{width:1,height:Jt})}this.dirty=!0}beginFrame(){this.callbackDispatchedThisFrame={}}dispatchRenderCallbacks(w){for(let B of w){if(this.callbackDispatchedThisFrame[B])continue;this.callbackDispatchedThisFrame[B]=!0;let Q=this.getImage(B);Q||a.w(`Image with ID: \"${B}\" was not found`),P(Q)&&this.updateImage(B,Q)}}}let z=1e20;function O(ue,w,B,Q,ee,le,qe,Xe,ot){for(let Tt=w;Tt<w+Q;Tt++)V(ue,B*le+Tt,le,ee,qe,Xe,ot);for(let Tt=B;Tt<B+ee;Tt++)V(ue,Tt*le+w,1,Q,qe,Xe,ot)}function V(ue,w,B,Q,ee,le,qe){le[0]=0,qe[0]=-z,qe[1]=z,ee[0]=ue[w];for(let Xe=1,ot=0,Tt=0;Xe<Q;Xe++){ee[Xe]=ue[w+Xe*B];let Kt=Xe*Xe;do{let Jt=le[ot];Tt=(ee[Xe]-ee[Jt]+Kt-Jt*Jt)/(Xe-Jt)/2}while(Tt<=qe[ot]&&--ot>-1);ot++,le[ot]=Xe,qe[ot]=Tt,qe[ot+1]=z}for(let Xe=0,ot=0;Xe<Q;Xe++){for(;qe[ot+1]<Xe;)ot++;let Tt=le[ot],Kt=Xe-Tt;ue[w+Xe*B]=ee[Tt]+Kt*Kt}}class G{constructor(w,B){this.requestManager=w,this.localIdeographFontFamily=B,this.entries={}}setURL(w){this.url=w}getGlyphs(w){return a._(this,void 0,void 0,function*(){let B=[];for(let le in w)for(let qe of w[le])B.push(this._getAndCacheGlyphsPromise(le,qe));let Q=yield Promise.all(B),ee={};for(let{stack:le,id:qe,glyph:Xe}of Q)ee[le]||(ee[le]={}),ee[le][qe]=Xe&&{id:Xe.id,bitmap:Xe.bitmap.clone(),metrics:Xe.metrics};return ee})}_getAndCacheGlyphsPromise(w,B){return a._(this,void 0,void 0,function*(){let Q=this.entries[w];Q||(Q=this.entries[w]={glyphs:{},requests:{},ranges:{}});let ee=Q.glyphs[B];if(ee!==void 0)return{stack:w,id:B,glyph:ee};if(ee=this._tinySDF(Q,w,B),ee)return Q.glyphs[B]=ee,{stack:w,id:B,glyph:ee};let le=Math.floor(B/256);if(256*le>65535)throw new Error(\"glyphs > 65535 not supported\");if(Q.ranges[le])return{stack:w,id:B,glyph:ee};if(!this.url)throw new Error(\"glyphsUrl is not set\");if(!Q.requests[le]){let Xe=G.loadGlyphRange(w,le,this.url,this.requestManager);Q.requests[le]=Xe}let qe=yield Q.requests[le];for(let Xe in qe)this._doesCharSupportLocalGlyph(+Xe)||(Q.glyphs[+Xe]=qe[+Xe]);return Q.ranges[le]=!0,{stack:w,id:B,glyph:qe[B]||null}})}_doesCharSupportLocalGlyph(w){return!!this.localIdeographFontFamily&&new RegExp(\"\\\\p{Ideo}|\\\\p{sc=Hang}|\\\\p{sc=Hira}|\\\\p{sc=Kana}\",\"u\").test(String.fromCodePoint(w))}_tinySDF(w,B,Q){let ee=this.localIdeographFontFamily;if(!ee||!this._doesCharSupportLocalGlyph(Q))return;let le=w.tinySDF;if(!le){let Xe=\"400\";/bold/i.test(B)?Xe=\"900\":/medium/i.test(B)?Xe=\"500\":/light/i.test(B)&&(Xe=\"200\"),le=w.tinySDF=new G.TinySDF({fontSize:48,buffer:6,radius:16,cutoff:.25,fontFamily:ee,fontWeight:Xe})}let qe=le.draw(String.fromCharCode(Q));return{id:Q,bitmap:new a.o({width:qe.width||60,height:qe.height||60},qe.data),metrics:{width:qe.glyphWidth/2||24,height:qe.glyphHeight/2||24,left:qe.glyphLeft/2+.5||0,top:qe.glyphTop/2-27.5||-8,advance:qe.glyphAdvance/2||24,isDoubleResolution:!0}}}}G.loadGlyphRange=function(ue,w,B,Q){return a._(this,void 0,void 0,function*(){let ee=256*w,le=ee+255,qe=Q.transformRequest(B.replace(\"{fontstack}\",ue).replace(\"{range}\",`${ee}-${le}`),\"Glyphs\"),Xe=yield a.l(qe,new AbortController);if(!Xe||!Xe.data)throw new Error(`Could not load glyph range. range: ${w}, ${ee}-${le}`);let ot={};for(let Tt of a.n(Xe.data))ot[Tt.id]=Tt;return ot})},G.TinySDF=class{constructor({fontSize:ue=24,buffer:w=3,radius:B=8,cutoff:Q=.25,fontFamily:ee=\"sans-serif\",fontWeight:le=\"normal\",fontStyle:qe=\"normal\"}={}){this.buffer=w,this.cutoff=Q,this.radius=B;let Xe=this.size=ue+4*w,ot=this._createCanvas(Xe),Tt=this.ctx=ot.getContext(\"2d\",{willReadFrequently:!0});Tt.font=`${qe} ${le} ${ue}px ${ee}`,Tt.textBaseline=\"alphabetic\",Tt.textAlign=\"left\",Tt.fillStyle=\"black\",this.gridOuter=new Float64Array(Xe*Xe),this.gridInner=new Float64Array(Xe*Xe),this.f=new Float64Array(Xe),this.z=new Float64Array(Xe+1),this.v=new Uint16Array(Xe)}_createCanvas(ue){let w=document.createElement(\"canvas\");return w.width=w.height=ue,w}draw(ue){let{width:w,actualBoundingBoxAscent:B,actualBoundingBoxDescent:Q,actualBoundingBoxLeft:ee,actualBoundingBoxRight:le}=this.ctx.measureText(ue),qe=Math.ceil(B),Xe=Math.max(0,Math.min(this.size-this.buffer,Math.ceil(le-ee))),ot=Math.min(this.size-this.buffer,qe+Math.ceil(Q)),Tt=Xe+2*this.buffer,Kt=ot+2*this.buffer,Jt=Math.max(Tt*Kt,0),xr=new Uint8ClampedArray(Jt),Pr={data:xr,width:Tt,height:Kt,glyphWidth:Xe,glyphHeight:ot,glyphTop:qe,glyphLeft:0,glyphAdvance:w};if(Xe===0||ot===0)return Pr;let{ctx:ve,buffer:be,gridInner:Re,gridOuter:Be}=this;ve.clearRect(be,be,Xe,ot),ve.fillText(ue,be,be+qe);let tt=ve.getImageData(be,be,Xe,ot);Be.fill(z,0,Jt),Re.fill(0,0,Jt);for(let We=0;We<ot;We++)for(let it=0;it<Xe;it++){let Dt=tt.data[4*(We*Xe+it)+3]/255;if(Dt===0)continue;let Ht=(We+be)*Tt+it+be;if(Dt===1)Be[Ht]=0,Re[Ht]=z;else{let rr=.5-Dt;Be[Ht]=rr>0?rr*rr:0,Re[Ht]=rr<0?rr*rr:0}}O(Be,0,0,Tt,Kt,Tt,this.f,this.v,this.z),O(Re,be,be,Xe,ot,Tt,this.f,this.v,this.z);for(let We=0;We<Jt;We++){let it=Math.sqrt(Be[We])-Math.sqrt(Re[We]);xr[We]=Math.round(255-255*(it/this.radius+this.cutoff))}return Pr}};class Z{constructor(){this.specification=a.v.light.position}possiblyEvaluate(w,B){return a.x(w.expression.evaluate(B))}interpolate(w,B,Q){return{x:a.y.number(w.x,B.x,Q),y:a.y.number(w.y,B.y,Q),z:a.y.number(w.z,B.z,Q)}}}let H;class N extends a.E{constructor(w){super(),H=H||new a.q({anchor:new a.D(a.v.light.anchor),position:new Z,color:new a.D(a.v.light.color),intensity:new a.D(a.v.light.intensity)}),this._transitionable=new a.T(H),this.setLight(w),this._transitioning=this._transitionable.untransitioned()}getLight(){return this._transitionable.serialize()}setLight(w,B={}){if(!this._validate(a.r,w,B))for(let Q in w){let ee=w[Q];Q.endsWith(\"-transition\")?this._transitionable.setTransition(Q.slice(0,-11),ee):this._transitionable.setValue(Q,ee)}}updateTransitions(w){this._transitioning=this._transitionable.transitioned(w,this._transitioning)}hasTransition(){return this._transitioning.hasTransition()}recalculate(w){this.properties=this._transitioning.possiblyEvaluate(w)}_validate(w,B,Q){return(!Q||Q.validate!==!1)&&a.t(this,w.call(a.u,{value:B,style:{glyphs:!0,sprite:!0},styleSpec:a.v}))}}let j=new a.q({\"sky-color\":new a.D(a.v.sky[\"sky-color\"]),\"horizon-color\":new a.D(a.v.sky[\"horizon-color\"]),\"fog-color\":new a.D(a.v.sky[\"fog-color\"]),\"fog-ground-blend\":new a.D(a.v.sky[\"fog-ground-blend\"]),\"horizon-fog-blend\":new a.D(a.v.sky[\"horizon-fog-blend\"]),\"sky-horizon-blend\":new a.D(a.v.sky[\"sky-horizon-blend\"]),\"atmosphere-blend\":new a.D(a.v.sky[\"atmosphere-blend\"])});class re extends a.E{constructor(w){super(),this._transitionable=new a.T(j),this.setSky(w),this._transitioning=this._transitionable.untransitioned(),this.recalculate(new a.z(0))}setSky(w,B={}){if(!this._validate(a.B,w,B)){w||(w={\"sky-color\":\"transparent\",\"horizon-color\":\"transparent\",\"fog-color\":\"transparent\",\"fog-ground-blend\":1,\"atmosphere-blend\":0});for(let Q in w){let ee=w[Q];Q.endsWith(\"-transition\")?this._transitionable.setTransition(Q.slice(0,-11),ee):this._transitionable.setValue(Q,ee)}}}getSky(){return this._transitionable.serialize()}updateTransitions(w){this._transitioning=this._transitionable.transitioned(w,this._transitioning)}hasTransition(){return this._transitioning.hasTransition()}recalculate(w){this.properties=this._transitioning.possiblyEvaluate(w)}_validate(w,B,Q={}){return(Q==null?void 0:Q.validate)!==!1&&a.t(this,w.call(a.u,a.e({value:B,style:{glyphs:!0,sprite:!0},styleSpec:a.v})))}calculateFogBlendOpacity(w){return w<60?0:w<70?(w-60)/10:1}}class oe{constructor(w,B){this.width=w,this.height=B,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}}getDash(w,B){let Q=w.join(\",\")+String(B);return this.dashEntry[Q]||(this.dashEntry[Q]=this.addDash(w,B)),this.dashEntry[Q]}getDashRanges(w,B,Q){let ee=[],le=w.length%2==1?-w[w.length-1]*Q:0,qe=w[0]*Q,Xe=!0;ee.push({left:le,right:qe,isDash:Xe,zeroLength:w[0]===0});let ot=w[0];for(let Tt=1;Tt<w.length;Tt++){Xe=!Xe;let Kt=w[Tt];le=ot*Q,ot+=Kt,qe=ot*Q,ee.push({left:le,right:qe,isDash:Xe,zeroLength:Kt===0})}return ee}addRoundDash(w,B,Q){let ee=B/2;for(let le=-Q;le<=Q;le++){let qe=this.width*(this.nextRow+Q+le),Xe=0,ot=w[Xe];for(let Tt=0;Tt<this.width;Tt++){Tt/ot.right>1&&(ot=w[++Xe]);let Kt=Math.abs(Tt-ot.left),Jt=Math.abs(Tt-ot.right),xr=Math.min(Kt,Jt),Pr,ve=le/Q*(ee+1);if(ot.isDash){let be=ee-Math.abs(ve);Pr=Math.sqrt(xr*xr+be*be)}else Pr=ee-Math.sqrt(xr*xr+ve*ve);this.data[qe+Tt]=Math.max(0,Math.min(255,Pr+128))}}}addRegularDash(w){for(let Xe=w.length-1;Xe>=0;--Xe){let ot=w[Xe],Tt=w[Xe+1];ot.zeroLength?w.splice(Xe,1):Tt&&Tt.isDash===ot.isDash&&(Tt.left=ot.left,w.splice(Xe,1))}let B=w[0],Q=w[w.length-1];B.isDash===Q.isDash&&(B.left=Q.left-this.width,Q.right=B.right+this.width);let ee=this.width*this.nextRow,le=0,qe=w[le];for(let Xe=0;Xe<this.width;Xe++){Xe/qe.right>1&&(qe=w[++le]);let ot=Math.abs(Xe-qe.left),Tt=Math.abs(Xe-qe.right),Kt=Math.min(ot,Tt);this.data[ee+Xe]=Math.max(0,Math.min(255,(qe.isDash?Kt:-Kt)+128))}}addDash(w,B){let Q=B?7:0,ee=2*Q+1;if(this.nextRow+ee>this.height)return a.w(\"LineAtlas out of space\"),null;let le=0;for(let Xe=0;Xe<w.length;Xe++)le+=w[Xe];if(le!==0){let Xe=this.width/le,ot=this.getDashRanges(w,this.width,Xe);B?this.addRoundDash(ot,Xe,Q):this.addRegularDash(ot)}let qe={y:(this.nextRow+Q+.5)/this.height,height:2*Q/this.height,width:le};return this.nextRow+=ee,this.dirty=!0,qe}bind(w){let B=w.gl;this.texture?(B.bindTexture(B.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,B.texSubImage2D(B.TEXTURE_2D,0,0,0,this.width,this.height,B.ALPHA,B.UNSIGNED_BYTE,this.data))):(this.texture=B.createTexture(),B.bindTexture(B.TEXTURE_2D,this.texture),B.texParameteri(B.TEXTURE_2D,B.TEXTURE_WRAP_S,B.REPEAT),B.texParameteri(B.TEXTURE_2D,B.TEXTURE_WRAP_T,B.REPEAT),B.texParameteri(B.TEXTURE_2D,B.TEXTURE_MIN_FILTER,B.LINEAR),B.texParameteri(B.TEXTURE_2D,B.TEXTURE_MAG_FILTER,B.LINEAR),B.texImage2D(B.TEXTURE_2D,0,B.ALPHA,this.width,this.height,0,B.ALPHA,B.UNSIGNED_BYTE,this.data))}}let _e=\"maplibre_preloaded_worker_pool\";class Me{constructor(){this.active={}}acquire(w){if(!this.workers)for(this.workers=[];this.workers.length<Me.workerCount;)this.workers.push(new Worker(a.a.WORKER_URL));return this.active[w]=!0,this.workers.slice()}release(w){delete this.active[w],this.numActive()===0&&(this.workers.forEach(B=>{B.terminate()}),this.workers=null)}isPreloaded(){return!!this.active[_e]}numActive(){return Object.keys(this.active).length}}let ke=Math.floor(u.hardwareConcurrency/2),me,ie;function Se(){return me||(me=new Me),me}Me.workerCount=a.C(globalThis)?Math.max(Math.min(ke,3),1):1;class Le{constructor(w,B){this.workerPool=w,this.actors=[],this.currentActor=0,this.id=B;let Q=this.workerPool.acquire(B);for(let ee=0;ee<Q.length;ee++){let le=new a.F(Q[ee],B);le.name=`Worker ${ee}`,this.actors.push(le)}if(!this.actors.length)throw new Error(\"No actors found\")}broadcast(w,B){let Q=[];for(let ee of this.actors)Q.push(ee.sendAsync({type:w,data:B}));return Promise.all(Q)}getActor(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]}remove(w=!0){this.actors.forEach(B=>{B.remove()}),this.actors=[],w&&this.workerPool.release(this.id)}registerMessageHandler(w,B){for(let Q of this.actors)Q.registerMessageHandler(w,B)}}function Ae(){return ie||(ie=new Le(Se(),a.G),ie.registerMessageHandler(\"GR\",(ue,w,B)=>a.m(w,B))),ie}function De(ue,w){let B=a.H();return a.J(B,B,[1,1,0]),a.K(B,B,[.5*ue.width,.5*ue.height,1]),a.L(B,B,ue.calculatePosMatrix(w.toUnwrapped()))}function Pe(ue,w,B,Q,ee,le){let qe=function(Jt,xr,Pr){if(Jt)for(let ve of Jt){let be=xr[ve];if(be&&be.source===Pr&&be.type===\"fill-extrusion\")return!0}else for(let ve in xr){let be=xr[ve];if(be.source===Pr&&be.type===\"fill-extrusion\")return!0}return!1}(ee&&ee.layers,w,ue.id),Xe=le.maxPitchScaleFactor(),ot=ue.tilesIn(Q,Xe,qe);ot.sort(ge);let Tt=[];for(let Jt of ot)Tt.push({wrappedTileID:Jt.tileID.wrapped().key,queryResults:Jt.tile.queryRenderedFeatures(w,B,ue._state,Jt.queryGeometry,Jt.cameraQueryGeometry,Jt.scale,ee,le,Xe,De(ue.transform,Jt.tileID))});let Kt=function(Jt){let xr={},Pr={};for(let ve of Jt){let be=ve.queryResults,Re=ve.wrappedTileID,Be=Pr[Re]=Pr[Re]||{};for(let tt in be){let We=be[tt],it=Be[tt]=Be[tt]||{},Dt=xr[tt]=xr[tt]||[];for(let Ht of We)it[Ht.featureIndex]||(it[Ht.featureIndex]=!0,Dt.push(Ht))}}return xr}(Tt);for(let Jt in Kt)Kt[Jt].forEach(xr=>{let Pr=xr.feature,ve=ue.getFeatureState(Pr.layer[\"source-layer\"],Pr.id);Pr.source=Pr.layer.source,Pr.layer[\"source-layer\"]&&(Pr.sourceLayer=Pr.layer[\"source-layer\"]),Pr.state=ve});return Kt}function ge(ue,w){let B=ue.tileID,Q=w.tileID;return B.overscaledZ-Q.overscaledZ||B.canonical.y-Q.canonical.y||B.wrap-Q.wrap||B.canonical.x-Q.canonical.x}function Fe(ue,w,B){return a._(this,void 0,void 0,function*(){let Q=ue;if(ue.url?Q=(yield a.h(w.transformRequest(ue.url,\"Source\"),B)).data:yield u.frameAsync(B),!Q)return null;let ee=a.M(a.e(Q,ue),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);return\"vector_layers\"in Q&&Q.vector_layers&&(ee.vectorLayerIds=Q.vector_layers.map(le=>le.id)),ee})}class ce{constructor(w,B){w&&(B?this.setSouthWest(w).setNorthEast(B):Array.isArray(w)&&(w.length===4?this.setSouthWest([w[0],w[1]]).setNorthEast([w[2],w[3]]):this.setSouthWest(w[0]).setNorthEast(w[1])))}setNorthEast(w){return this._ne=w instanceof a.N?new a.N(w.lng,w.lat):a.N.convert(w),this}setSouthWest(w){return this._sw=w instanceof a.N?new a.N(w.lng,w.lat):a.N.convert(w),this}extend(w){let B=this._sw,Q=this._ne,ee,le;if(w instanceof a.N)ee=w,le=w;else{if(!(w instanceof ce))return Array.isArray(w)?w.length===4||w.every(Array.isArray)?this.extend(ce.convert(w)):this.extend(a.N.convert(w)):w&&(\"lng\"in w||\"lon\"in w)&&\"lat\"in w?this.extend(a.N.convert(w)):this;if(ee=w._sw,le=w._ne,!ee||!le)return this}return B||Q?(B.lng=Math.min(ee.lng,B.lng),B.lat=Math.min(ee.lat,B.lat),Q.lng=Math.max(le.lng,Q.lng),Q.lat=Math.max(le.lat,Q.lat)):(this._sw=new a.N(ee.lng,ee.lat),this._ne=new a.N(le.lng,le.lat)),this}getCenter(){return new a.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 a.N(this.getWest(),this.getNorth())}getSouthEast(){return new a.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(w){let{lng:B,lat:Q}=a.N.convert(w),ee=this._sw.lng<=B&&B<=this._ne.lng;return this._sw.lng>this._ne.lng&&(ee=this._sw.lng>=B&&B>=this._ne.lng),this._sw.lat<=Q&&Q<=this._ne.lat&&ee}static convert(w){return w instanceof ce?w:w&&new ce(w)}static fromLngLat(w,B=0){let Q=360*B/40075017,ee=Q/Math.cos(Math.PI/180*w.lat);return new ce(new a.N(w.lng-ee,w.lat-Q),new a.N(w.lng+ee,w.lat+Q))}adjustAntiMeridian(){let w=new a.N(this._sw.lng,this._sw.lat),B=new a.N(this._ne.lng,this._ne.lat);return new ce(w,w.lng>B.lng?new a.N(B.lng+360,B.lat):B)}}class Ze{constructor(w,B,Q){this.bounds=ce.convert(this.validateBounds(w)),this.minzoom=B||0,this.maxzoom=Q||24}validateBounds(w){return Array.isArray(w)&&w.length===4?[Math.max(-180,w[0]),Math.max(-90,w[1]),Math.min(180,w[2]),Math.min(90,w[3])]:[-180,-90,180,90]}contains(w){let B=Math.pow(2,w.z),Q=Math.floor(a.O(this.bounds.getWest())*B),ee=Math.floor(a.Q(this.bounds.getNorth())*B),le=Math.ceil(a.O(this.bounds.getEast())*B),qe=Math.ceil(a.Q(this.bounds.getSouth())*B);return w.x>=Q&&w.x<le&&w.y>=ee&&w.y<qe}}class ct extends a.E{constructor(w,B,Q,ee){if(super(),this.id=w,this.dispatcher=Q,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,a.e(this,a.M(B,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=a.e({type:\"vector\"},B),this._collectResourceTiming=B.collectResourceTiming,this.tileSize!==512)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(ee)}load(){return a._(this,void 0,void 0,function*(){this._loaded=!1,this.fire(new a.k(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=new AbortController;try{let w=yield Fe(this._options,this.map._requestManager,this._tileJSONRequest);this._tileJSONRequest=null,this._loaded=!0,this.map.style.sourceCaches[this.id].clearTiles(),w&&(a.e(this,w),w.bounds&&(this.tileBounds=new Ze(w.bounds,this.minzoom,this.maxzoom)),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}catch(w){this._tileJSONRequest=null,this.fire(new a.j(w))}})}loaded(){return this._loaded}hasTile(w){return!this.tileBounds||this.tileBounds.contains(w.canonical)}onAdd(w){this.map=w,this.load()}setSourceProperty(w){this._tileJSONRequest&&this._tileJSONRequest.abort(),w(),this.load()}setTiles(w){return this.setSourceProperty(()=>{this._options.tiles=w}),this}setUrl(w){return this.setSourceProperty(()=>{this.url=w,this._options.url=w}),this}onRemove(){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null)}serialize(){return a.e({},this._options)}loadTile(w){return a._(this,void 0,void 0,function*(){let B=w.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme),Q={request:this.map._requestManager.transformRequest(B,\"Tile\"),uid:w.uid,tileID:w.tileID,zoom:w.tileID.overscaledZ,tileSize:this.tileSize*w.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:this.map.getPixelRatio(),showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};Q.request.collectResourceTiming=this._collectResourceTiming;let ee=\"RT\";if(w.actor&&w.state!==\"expired\"){if(w.state===\"loading\")return new Promise((le,qe)=>{w.reloadPromise={resolve:le,reject:qe}})}else w.actor=this.dispatcher.getActor(),ee=\"LT\";w.abortController=new AbortController;try{let le=yield w.actor.sendAsync({type:ee,data:Q},w.abortController);if(delete w.abortController,w.aborted)return;this._afterTileLoadWorkerResponse(w,le)}catch(le){if(delete w.abortController,w.aborted)return;if(le&&le.status!==404)throw le;this._afterTileLoadWorkerResponse(w,null)}})}_afterTileLoadWorkerResponse(w,B){if(B&&B.resourceTiming&&(w.resourceTiming=B.resourceTiming),B&&this.map._refreshExpiredTiles&&w.setExpiryData(B),w.loadVectorData(B,this.map.painter),w.reloadPromise){let Q=w.reloadPromise;w.reloadPromise=null,this.loadTile(w).then(Q.resolve).catch(Q.reject)}}abortTile(w){return a._(this,void 0,void 0,function*(){w.abortController&&(w.abortController.abort(),delete w.abortController),w.actor&&(yield w.actor.sendAsync({type:\"AT\",data:{uid:w.uid,type:this.type,source:this.id}}))})}unloadTile(w){return a._(this,void 0,void 0,function*(){w.unloadVectorData(),w.actor&&(yield w.actor.sendAsync({type:\"RMT\",data:{uid:w.uid,type:this.type,source:this.id}}))})}hasTransition(){return!1}}class pt extends a.E{constructor(w,B,Q,ee){super(),this.id=w,this.dispatcher=Q,this.setEventedParent(ee),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=a.e({type:\"raster\"},B),a.e(this,a.M(B,[\"url\",\"scheme\",\"tileSize\"]))}load(){return a._(this,void 0,void 0,function*(){this._loaded=!1,this.fire(new a.k(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=new AbortController;try{let w=yield Fe(this._options,this.map._requestManager,this._tileJSONRequest);this._tileJSONRequest=null,this._loaded=!0,w&&(a.e(this,w),w.bounds&&(this.tileBounds=new Ze(w.bounds,this.minzoom,this.maxzoom)),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}catch(w){this._tileJSONRequest=null,this.fire(new a.j(w))}})}loaded(){return this._loaded}onAdd(w){this.map=w,this.load()}onRemove(){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null)}setSourceProperty(w){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null),w(),this.load()}setTiles(w){return this.setSourceProperty(()=>{this._options.tiles=w}),this}setUrl(w){return this.setSourceProperty(()=>{this.url=w,this._options.url=w}),this}serialize(){return a.e({},this._options)}hasTile(w){return!this.tileBounds||this.tileBounds.contains(w.canonical)}loadTile(w){return a._(this,void 0,void 0,function*(){let B=w.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme);w.abortController=new AbortController;try{let Q=yield p.getImage(this.map._requestManager.transformRequest(B,\"Tile\"),w.abortController,this.map._refreshExpiredTiles);if(delete w.abortController,w.aborted)return void(w.state=\"unloaded\");if(Q&&Q.data){this.map._refreshExpiredTiles&&Q.cacheControl&&Q.expires&&w.setExpiryData({cacheControl:Q.cacheControl,expires:Q.expires});let ee=this.map.painter.context,le=ee.gl,qe=Q.data;w.texture=this.map.painter.getTileTexture(qe.width),w.texture?w.texture.update(qe,{useMipmap:!0}):(w.texture=new g(ee,qe,le.RGBA,{useMipmap:!0}),w.texture.bind(le.LINEAR,le.CLAMP_TO_EDGE,le.LINEAR_MIPMAP_NEAREST)),w.state=\"loaded\"}}catch(Q){if(delete w.abortController,w.aborted)w.state=\"unloaded\";else if(Q)throw w.state=\"errored\",Q}})}abortTile(w){return a._(this,void 0,void 0,function*(){w.abortController&&(w.abortController.abort(),delete w.abortController)})}unloadTile(w){return a._(this,void 0,void 0,function*(){w.texture&&this.map.painter.saveTileTexture(w.texture)})}hasTransition(){return!1}}class Wt extends pt{constructor(w,B,Q,ee){super(w,B,Q,ee),this.type=\"raster-dem\",this.maxzoom=22,this._options=a.e({type:\"raster-dem\"},B),this.encoding=B.encoding||\"mapbox\",this.redFactor=B.redFactor,this.greenFactor=B.greenFactor,this.blueFactor=B.blueFactor,this.baseShift=B.baseShift}loadTile(w){return a._(this,void 0,void 0,function*(){let B=w.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme),Q=this.map._requestManager.transformRequest(B,\"Tile\");w.neighboringTiles=this._getNeighboringTiles(w.tileID),w.abortController=new AbortController;try{let ee=yield p.getImage(Q,w.abortController,this.map._refreshExpiredTiles);if(delete w.abortController,w.aborted)return void(w.state=\"unloaded\");if(ee&&ee.data){let le=ee.data;this.map._refreshExpiredTiles&&ee.cacheControl&&ee.expires&&w.setExpiryData({cacheControl:ee.cacheControl,expires:ee.expires});let qe=a.b(le)&&a.U()?le:yield this.readImageNow(le),Xe={type:this.type,uid:w.uid,source:this.id,rawImageData:qe,encoding:this.encoding,redFactor:this.redFactor,greenFactor:this.greenFactor,blueFactor:this.blueFactor,baseShift:this.baseShift};if(!w.actor||w.state===\"expired\"){w.actor=this.dispatcher.getActor();let ot=yield w.actor.sendAsync({type:\"LDT\",data:Xe});w.dem=ot,w.needsHillshadePrepare=!0,w.needsTerrainPrepare=!0,w.state=\"loaded\"}}}catch(ee){if(delete w.abortController,w.aborted)w.state=\"unloaded\";else if(ee)throw w.state=\"errored\",ee}})}readImageNow(w){return a._(this,void 0,void 0,function*(){if(typeof VideoFrame!=\"undefined\"&&a.V()){let B=w.width+2,Q=w.height+2;try{return new a.R({width:B,height:Q},yield a.W(w,-1,-1,B,Q))}catch(ee){}}return u.getImageData(w,1)})}_getNeighboringTiles(w){let B=w.canonical,Q=Math.pow(2,B.z),ee=(B.x-1+Q)%Q,le=B.x===0?w.wrap-1:w.wrap,qe=(B.x+1+Q)%Q,Xe=B.x+1===Q?w.wrap+1:w.wrap,ot={};return ot[new a.S(w.overscaledZ,le,B.z,ee,B.y).key]={backfilled:!1},ot[new a.S(w.overscaledZ,Xe,B.z,qe,B.y).key]={backfilled:!1},B.y>0&&(ot[new a.S(w.overscaledZ,le,B.z,ee,B.y-1).key]={backfilled:!1},ot[new a.S(w.overscaledZ,w.wrap,B.z,B.x,B.y-1).key]={backfilled:!1},ot[new a.S(w.overscaledZ,Xe,B.z,qe,B.y-1).key]={backfilled:!1}),B.y+1<Q&&(ot[new a.S(w.overscaledZ,le,B.z,ee,B.y+1).key]={backfilled:!1},ot[new a.S(w.overscaledZ,w.wrap,B.z,B.x,B.y+1).key]={backfilled:!1},ot[new a.S(w.overscaledZ,Xe,B.z,qe,B.y+1).key]={backfilled:!1}),ot}unloadTile(w){return a._(this,void 0,void 0,function*(){w.demTexture&&this.map.painter.saveTileTexture(w.demTexture),w.fbo&&(w.fbo.destroy(),delete w.fbo),w.dem&&delete w.dem,delete w.neighboringTiles,w.state=\"unloaded\",w.actor&&(yield w.actor.sendAsync({type:\"RDT\",data:{type:this.type,uid:w.uid,source:this.id}}))})}}class st extends a.E{constructor(w,B,Q,ee){super(),this.id=w,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=Q.getActor(),this.setEventedParent(ee),this._data=B.data,this._options=a.e({},B),this._collectResourceTiming=B.collectResourceTiming,B.maxzoom!==void 0&&(this.maxzoom=B.maxzoom),B.type&&(this.type=B.type),B.attribution&&(this.attribution=B.attribution),this.promoteId=B.promoteId;let le=a.X/this.tileSize;B.clusterMaxZoom!==void 0&&this.maxzoom<=B.clusterMaxZoom&&a.w(`The maxzoom value \"${this.maxzoom}\" is expected to be greater than the clusterMaxZoom value \"${B.clusterMaxZoom}\".`),this.workerOptions=a.e({source:this.id,cluster:B.cluster||!1,geojsonVtOptions:{buffer:(B.buffer!==void 0?B.buffer:128)*le,tolerance:(B.tolerance!==void 0?B.tolerance:.375)*le,extent:a.X,maxZoom:this.maxzoom,lineMetrics:B.lineMetrics||!1,generateId:B.generateId||!1},superclusterOptions:{maxZoom:B.clusterMaxZoom!==void 0?B.clusterMaxZoom:this.maxzoom-1,minPoints:Math.max(2,B.clusterMinPoints||2),extent:a.X,radius:(B.clusterRadius||50)*le,log:!1,generateId:B.generateId||!1},clusterProperties:B.clusterProperties,filter:B.filter},B.workerOptions),typeof this.promoteId==\"string\"&&(this.workerOptions.promoteId=this.promoteId)}load(){return a._(this,void 0,void 0,function*(){yield this._updateWorkerData()})}onAdd(w){this.map=w,this.load()}setData(w){return this._data=w,this._updateWorkerData(),this}updateData(w){return this._updateWorkerData(w),this}getData(){return a._(this,void 0,void 0,function*(){let w=a.e({type:this.type},this.workerOptions);return this.actor.sendAsync({type:\"GD\",data:w})})}setClusterOptions(w){return this.workerOptions.cluster=w.cluster,w&&(w.clusterRadius!==void 0&&(this.workerOptions.superclusterOptions.radius=w.clusterRadius),w.clusterMaxZoom!==void 0&&(this.workerOptions.superclusterOptions.maxZoom=w.clusterMaxZoom)),this._updateWorkerData(),this}getClusterExpansionZoom(w){return this.actor.sendAsync({type:\"GCEZ\",data:{type:this.type,clusterId:w,source:this.id}})}getClusterChildren(w){return this.actor.sendAsync({type:\"GCC\",data:{type:this.type,clusterId:w,source:this.id}})}getClusterLeaves(w,B,Q){return this.actor.sendAsync({type:\"GCL\",data:{type:this.type,source:this.id,clusterId:w,limit:B,offset:Q}})}_updateWorkerData(w){return a._(this,void 0,void 0,function*(){let B=a.e({type:this.type},this.workerOptions);w?B.dataDiff=w:typeof this._data==\"string\"?(B.request=this.map._requestManager.transformRequest(u.resolveURL(this._data),\"Source\"),B.request.collectResourceTiming=this._collectResourceTiming):B.data=JSON.stringify(this._data),this._pendingLoads++,this.fire(new a.k(\"dataloading\",{dataType:\"source\"}));try{let Q=yield this.actor.sendAsync({type:\"LD\",data:B});if(this._pendingLoads--,this._removed||Q.abandoned)return void this.fire(new a.k(\"dataabort\",{dataType:\"source\"}));let ee=null;Q.resourceTiming&&Q.resourceTiming[this.id]&&(ee=Q.resourceTiming[this.id].slice(0));let le={dataType:\"source\"};this._collectResourceTiming&&ee&&ee.length>0&&a.e(le,{resourceTiming:ee}),this.fire(new a.k(\"data\",Object.assign(Object.assign({},le),{sourceDataType:\"metadata\"}))),this.fire(new a.k(\"data\",Object.assign(Object.assign({},le),{sourceDataType:\"content\"})))}catch(Q){if(this._pendingLoads--,this._removed)return void this.fire(new a.k(\"dataabort\",{dataType:\"source\"}));this.fire(new a.j(Q))}})}loaded(){return this._pendingLoads===0}loadTile(w){return a._(this,void 0,void 0,function*(){let B=w.actor?\"RT\":\"LT\";w.actor=this.actor;let Q={type:this.type,uid:w.uid,tileID:w.tileID,zoom:w.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:this.map.getPixelRatio(),showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};w.abortController=new AbortController;let ee=yield this.actor.sendAsync({type:B,data:Q},w.abortController);delete w.abortController,w.unloadVectorData(),w.aborted||w.loadVectorData(ee,this.map.painter,B===\"RT\")})}abortTile(w){return a._(this,void 0,void 0,function*(){w.abortController&&(w.abortController.abort(),delete w.abortController),w.aborted=!0})}unloadTile(w){return a._(this,void 0,void 0,function*(){w.unloadVectorData(),yield this.actor.sendAsync({type:\"RMT\",data:{uid:w.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 a.e({},this._options,{type:this.type,data:this._data})}hasTransition(){return!1}}var lt=a.Y([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]);class Gt extends a.E{constructor(w,B,Q,ee){super(),this.id=w,this.dispatcher=Q,this.coordinates=B.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(ee),this.options=B}load(w){return a._(this,void 0,void 0,function*(){this._loaded=!1,this.fire(new a.k(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,this._request=new AbortController;try{let B=yield p.getImage(this.map._requestManager.transformRequest(this.url,\"Image\"),this._request);this._request=null,this._loaded=!0,B&&B.data&&(this.image=B.data,w&&(this.coordinates=w),this._finishLoading())}catch(B){this._request=null,this._loaded=!0,this.fire(new a.j(B))}})}loaded(){return this._loaded}updateImage(w){return w.url?(this._request&&(this._request.abort(),this._request=null),this.options.url=w.url,this.load(w.coordinates).finally(()=>{this.texture=null}),this):this}_finishLoading(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))}onAdd(w){this.map=w,this.load()}onRemove(){this._request&&(this._request.abort(),this._request=null)}setCoordinates(w){this.coordinates=w;let B=w.map(a.Z.fromLngLat);this.tileID=function(ee){let le=1/0,qe=1/0,Xe=-1/0,ot=-1/0;for(let xr of ee)le=Math.min(le,xr.x),qe=Math.min(qe,xr.y),Xe=Math.max(Xe,xr.x),ot=Math.max(ot,xr.y);let Tt=Math.max(Xe-le,ot-qe),Kt=Math.max(0,Math.floor(-Math.log(Tt)/Math.LN2)),Jt=Math.pow(2,Kt);return new a.a1(Kt,Math.floor((le+Xe)/2*Jt),Math.floor((qe+ot)/2*Jt))}(B),this.minzoom=this.maxzoom=this.tileID.z;let Q=B.map(ee=>this.tileID.getTilePoint(ee)._round());return this._boundsArray=new a.$,this._boundsArray.emplaceBack(Q[0].x,Q[0].y,0,0),this._boundsArray.emplaceBack(Q[1].x,Q[1].y,a.X,0),this._boundsArray.emplaceBack(Q[3].x,Q[3].y,0,a.X),this._boundsArray.emplaceBack(Q[2].x,Q[2].y,a.X,a.X),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this}prepare(){if(Object.keys(this.tiles).length===0||!this.image)return;let w=this.map.painter.context,B=w.gl;this.boundsBuffer||(this.boundsBuffer=w.createVertexBuffer(this._boundsArray,lt.members)),this.boundsSegments||(this.boundsSegments=a.a0.simpleSegment(0,0,4,2)),this.texture||(this.texture=new g(w,this.image,B.RGBA),this.texture.bind(B.LINEAR,B.CLAMP_TO_EDGE));let Q=!1;for(let ee in this.tiles){let le=this.tiles[ee];le.state!==\"loaded\"&&(le.state=\"loaded\",le.texture=this.texture,Q=!0)}Q&&this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}loadTile(w){return a._(this,void 0,void 0,function*(){this.tileID&&this.tileID.equals(w.tileID.canonical)?(this.tiles[String(w.tileID.wrap)]=w,w.buckets={}):w.state=\"errored\"})}serialize(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}}hasTransition(){return!1}}class Nt extends Gt{constructor(w,B,Q,ee){super(w,B,Q,ee),this.roundZoom=!0,this.type=\"video\",this.options=B}load(){return a._(this,void 0,void 0,function*(){this._loaded=!1;let w=this.options;this.urls=[];for(let B of w.urls)this.urls.push(this.map._requestManager.transformRequest(B,\"Source\").url);try{let B=yield a.a3(this.urls);if(this._loaded=!0,!B)return;this.video=B,this.video.loop=!0,this.video.addEventListener(\"playing\",()=>{this.map.triggerRepaint()}),this.map&&this.video.play(),this._finishLoading()}catch(B){this.fire(new a.j(B))}})}pause(){this.video&&this.video.pause()}play(){this.video&&this.video.play()}seek(w){if(this.video){let B=this.video.seekable;w<B.start(0)||w>B.end(0)?this.fire(new a.j(new a.a2(`sources.${this.id}`,null,`Playback for this video can be set only between the ${B.start(0)} and ${B.end(0)}-second mark.`))):this.video.currentTime=w}}getVideo(){return this.video}onAdd(w){this.map||(this.map=w,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))}prepare(){if(Object.keys(this.tiles).length===0||this.video.readyState<2)return;let w=this.map.painter.context,B=w.gl;this.boundsBuffer||(this.boundsBuffer=w.createVertexBuffer(this._boundsArray,lt.members)),this.boundsSegments||(this.boundsSegments=a.a0.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(B.LINEAR,B.CLAMP_TO_EDGE),B.texSubImage2D(B.TEXTURE_2D,0,0,0,B.RGBA,B.UNSIGNED_BYTE,this.video)):(this.texture=new g(w,this.video,B.RGBA),this.texture.bind(B.LINEAR,B.CLAMP_TO_EDGE));let Q=!1;for(let ee in this.tiles){let le=this.tiles[ee];le.state!==\"loaded\"&&(le.state=\"loaded\",le.texture=this.texture,Q=!0)}Q&&this.fire(new a.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 $t extends Gt{constructor(w,B,Q,ee){super(w,B,Q,ee),B.coordinates?Array.isArray(B.coordinates)&&B.coordinates.length===4&&!B.coordinates.some(le=>!Array.isArray(le)||le.length!==2||le.some(qe=>typeof qe!=\"number\"))||this.fire(new a.j(new a.a2(`sources.${w}`,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new a.j(new a.a2(`sources.${w}`,null,'missing required property \"coordinates\"'))),B.animate&&typeof B.animate!=\"boolean\"&&this.fire(new a.j(new a.a2(`sources.${w}`,null,'optional \"animate\" property must be a boolean value'))),B.canvas?typeof B.canvas==\"string\"||B.canvas instanceof HTMLCanvasElement||this.fire(new a.j(new a.a2(`sources.${w}`,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new a.j(new a.a2(`sources.${w}`,null,'missing required property \"canvas\"'))),this.options=B,this.animate=B.animate===void 0||B.animate}load(){return a._(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 a.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(w){this.map=w,this.load(),this.canvas&&this.animate&&this.play()}onRemove(){this.pause()}prepare(){let w=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,w=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,w=!0),this._hasInvalidDimensions()||Object.keys(this.tiles).length===0)return;let B=this.map.painter.context,Q=B.gl;this.boundsBuffer||(this.boundsBuffer=B.createVertexBuffer(this._boundsArray,lt.members)),this.boundsSegments||(this.boundsSegments=a.a0.simpleSegment(0,0,4,2)),this.texture?(w||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new g(B,this.canvas,Q.RGBA,{premultiply:!0});let ee=!1;for(let le in this.tiles){let qe=this.tiles[le];qe.state!==\"loaded\"&&(qe.state=\"loaded\",qe.texture=this.texture,ee=!0)}ee&&this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}serialize(){return{type:\"canvas\",coordinates:this.coordinates}}hasTransition(){return this._playing}_hasInvalidDimensions(){for(let w of[this.canvas.width,this.canvas.height])if(isNaN(w)||w<=0)return!0;return!1}}let sr={},wr=ue=>{switch(ue){case\"geojson\":return st;case\"image\":return Gt;case\"raster\":return pt;case\"raster-dem\":return Wt;case\"vector\":return ct;case\"video\":return Nt;case\"canvas\":return $t}return sr[ue]},ur=\"RTLPluginLoaded\";class Qe extends a.E{constructor(){super(...arguments),this.status=\"unavailable\",this.url=null,this.dispatcher=Ae()}_syncState(w){return this.status=w,this.dispatcher.broadcast(\"SRPS\",{pluginStatus:w,pluginURL:this.url}).catch(B=>{throw this.status=\"error\",B})}getRTLTextPluginStatus(){return this.status}clearRTLTextPlugin(){this.status=\"unavailable\",this.url=null}setRTLTextPlugin(w){return a._(this,arguments,void 0,function*(B,Q=!1){if(this.url)throw new Error(\"setRTLTextPlugin cannot be called multiple times.\");if(this.url=u.resolveURL(B),!this.url)throw new Error(`requested url ${B} is invalid`);if(this.status===\"unavailable\"){if(!Q)return this._requestImport();this.status=\"deferred\",this._syncState(this.status)}else if(this.status===\"requested\")return this._requestImport()})}_requestImport(){return a._(this,void 0,void 0,function*(){yield this._syncState(\"loading\"),this.status=\"loaded\",this.fire(new a.k(ur))})}lazyLoad(){this.status===\"unavailable\"?this.status=\"requested\":this.status===\"deferred\"&&this._requestImport()}}let Et=null;function er(){return Et||(Et=new Qe),Et}class Ut{constructor(w,B){this.timeAdded=0,this.fadeEndTime=0,this.tileID=w,this.uid=a.a4(),this.uses=0,this.tileSize=B,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(w){let B=w+this.timeAdded;B<this.fadeEndTime||(this.fadeEndTime=B)}wasRequested(){return this.state===\"errored\"||this.state===\"loaded\"||this.state===\"reloading\"}clearTextures(w){this.demTexture&&w.saveTileTexture(this.demTexture),this.demTexture=null}loadVectorData(w,B,Q){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",w){w.featureIndex&&(this.latestFeatureIndex=w.featureIndex,w.rawTileData?(this.latestRawTileData=w.rawTileData,this.latestFeatureIndex.rawTileData=w.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=w.collisionBoxArray,this.buckets=function(ee,le){let qe={};if(!le)return qe;for(let Xe of ee){let ot=Xe.layerIds.map(Tt=>le.getLayer(Tt)).filter(Boolean);if(ot.length!==0){Xe.layers=ot,Xe.stateDependentLayerIds&&(Xe.stateDependentLayers=Xe.stateDependentLayerIds.map(Tt=>ot.filter(Kt=>Kt.id===Tt)[0]));for(let Tt of ot)qe[Tt.id]=Xe}}return qe}(w.buckets,B.style),this.hasSymbolBuckets=!1;for(let ee in this.buckets){let le=this.buckets[ee];if(le instanceof a.a6){if(this.hasSymbolBuckets=!0,!Q)break;le.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(let ee in this.buckets){let le=this.buckets[ee];if(le instanceof a.a6&&le.hasRTLText){this.hasRTLText=!0,er().lazyLoad();break}}this.queryPadding=0;for(let ee in this.buckets){let le=this.buckets[ee];this.queryPadding=Math.max(this.queryPadding,B.style.getLayer(ee).queryRadius(le))}w.imageAtlas&&(this.imageAtlas=w.imageAtlas),w.glyphAtlasImage&&(this.glyphAtlasImage=w.glyphAtlasImage)}else this.collisionBoxArray=new a.a5}unloadVectorData(){for(let w in this.buckets)this.buckets[w].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(w){return this.buckets[w.id]}upload(w){for(let Q in this.buckets){let ee=this.buckets[Q];ee.uploadPending()&&ee.upload(w)}let B=w.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new g(w,this.imageAtlas.image,B.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new g(w,this.glyphAtlasImage,B.ALPHA),this.glyphAtlasImage=null)}prepare(w){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(w,this.imageAtlasTexture)}queryRenderedFeatures(w,B,Q,ee,le,qe,Xe,ot,Tt,Kt){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:ee,cameraQueryGeometry:le,scale:qe,tileSize:this.tileSize,pixelPosMatrix:Kt,transform:ot,params:Xe,queryPadding:this.queryPadding*Tt},w,B,Q):{}}querySourceFeatures(w,B){let Q=this.latestFeatureIndex;if(!Q||!Q.rawTileData)return;let ee=Q.loadVTLayers(),le=B&&B.sourceLayer?B.sourceLayer:\"\",qe=ee._geojsonTileLayer||ee[le];if(!qe)return;let Xe=a.a7(B&&B.filter),{z:ot,x:Tt,y:Kt}=this.tileID.canonical,Jt={z:ot,x:Tt,y:Kt};for(let xr=0;xr<qe.length;xr++){let Pr=qe.feature(xr);if(Xe.needGeometry){let Re=a.a8(Pr,!0);if(!Xe.filter(new a.z(this.tileID.overscaledZ),Re,this.tileID.canonical))continue}else if(!Xe.filter(new a.z(this.tileID.overscaledZ),Pr))continue;let ve=Q.getId(Pr,le),be=new a.a9(Pr,ot,Tt,Kt,ve);be.tile=Jt,w.push(be)}}hasData(){return this.state===\"loaded\"||this.state===\"reloading\"||this.state===\"expired\"}patternsLoaded(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length}setExpiryData(w){let B=this.expirationTime;if(w.cacheControl){let Q=a.aa(w.cacheControl);Q[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*Q[\"max-age\"])}else w.expires&&(this.expirationTime=new Date(w.expires).getTime());if(this.expirationTime){let Q=Date.now(),ee=!1;if(this.expirationTime>Q)ee=!1;else if(B)if(this.expirationTime<B)ee=!0;else{let le=this.expirationTime-B;le?this.expirationTime=Q+Math.max(le,3e4):ee=!0}else ee=!0;ee?(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(w,B){if(!this.latestFeatureIndex||!this.latestFeatureIndex.rawTileData||Object.keys(w).length===0)return;let Q=this.latestFeatureIndex.loadVTLayers();for(let ee in this.buckets){if(!B.style.hasLayer(ee))continue;let le=this.buckets[ee],qe=le.layers[0].sourceLayer||\"_geojsonTileLayer\",Xe=Q[qe],ot=w[qe];if(!Xe||!ot||Object.keys(ot).length===0)continue;le.update(ot,Xe,this.imageAtlas&&this.imageAtlas.patternPositions||{});let Tt=B&&B.style&&B.style.getLayer(ee);Tt&&(this.queryPadding=Math.max(this.queryPadding,Tt.queryRadius(le)))}}holdingForFade(){return this.symbolFadeHoldUntil!==void 0}symbolFadeFinished(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<u.now()}clearFadeHold(){this.symbolFadeHoldUntil=void 0}setHoldDuration(w){this.symbolFadeHoldUntil=u.now()+w}setDependencies(w,B){let Q={};for(let ee of B)Q[ee]=!0;this.dependencies[w]=Q}hasDependency(w,B){for(let Q of w){let ee=this.dependencies[Q];if(ee){for(let le of B)if(ee[le])return!0}}return!1}}class Ft{constructor(w,B){this.max=w,this.onRemove=B,this.reset()}reset(){for(let w in this.data)for(let B of this.data[w])B.timeout&&clearTimeout(B.timeout),this.onRemove(B.value);return this.data={},this.order=[],this}add(w,B,Q){let ee=w.wrapped().key;this.data[ee]===void 0&&(this.data[ee]=[]);let le={value:B,timeout:void 0};if(Q!==void 0&&(le.timeout=setTimeout(()=>{this.remove(w,le)},Q)),this.data[ee].push(le),this.order.push(ee),this.order.length>this.max){let qe=this._getAndRemoveByKey(this.order[0]);qe&&this.onRemove(qe)}return this}has(w){return w.wrapped().key in this.data}getAndRemove(w){return this.has(w)?this._getAndRemoveByKey(w.wrapped().key):null}_getAndRemoveByKey(w){let B=this.data[w].shift();return B.timeout&&clearTimeout(B.timeout),this.data[w].length===0&&delete this.data[w],this.order.splice(this.order.indexOf(w),1),B.value}getByKey(w){let B=this.data[w];return B?B[0].value:null}get(w){return this.has(w)?this.data[w.wrapped().key][0].value:null}remove(w,B){if(!this.has(w))return this;let Q=w.wrapped().key,ee=B===void 0?0:this.data[Q].indexOf(B),le=this.data[Q][ee];return this.data[Q].splice(ee,1),le.timeout&&clearTimeout(le.timeout),this.data[Q].length===0&&delete this.data[Q],this.onRemove(le.value),this.order.splice(this.order.indexOf(Q),1),this}setMaxSize(w){for(this.max=w;this.order.length>this.max;){let B=this._getAndRemoveByKey(this.order[0]);B&&this.onRemove(B)}return this}filter(w){let B=[];for(let Q in this.data)for(let ee of this.data[Q])w(ee.value)||B.push(ee);for(let Q of B)this.remove(Q.value.tileID,Q)}}class bt{constructor(){this.state={},this.stateChanges={},this.deletedStates={}}updateState(w,B,Q){let ee=String(B);if(this.stateChanges[w]=this.stateChanges[w]||{},this.stateChanges[w][ee]=this.stateChanges[w][ee]||{},a.e(this.stateChanges[w][ee],Q),this.deletedStates[w]===null){this.deletedStates[w]={};for(let le in this.state[w])le!==ee&&(this.deletedStates[w][le]=null)}else if(this.deletedStates[w]&&this.deletedStates[w][ee]===null){this.deletedStates[w][ee]={};for(let le in this.state[w][ee])Q[le]||(this.deletedStates[w][ee][le]=null)}else for(let le in Q)this.deletedStates[w]&&this.deletedStates[w][ee]&&this.deletedStates[w][ee][le]===null&&delete this.deletedStates[w][ee][le]}removeFeatureState(w,B,Q){if(this.deletedStates[w]===null)return;let ee=String(B);if(this.deletedStates[w]=this.deletedStates[w]||{},Q&&B!==void 0)this.deletedStates[w][ee]!==null&&(this.deletedStates[w][ee]=this.deletedStates[w][ee]||{},this.deletedStates[w][ee][Q]=null);else if(B!==void 0)if(this.stateChanges[w]&&this.stateChanges[w][ee])for(Q in this.deletedStates[w][ee]={},this.stateChanges[w][ee])this.deletedStates[w][ee][Q]=null;else this.deletedStates[w][ee]=null;else this.deletedStates[w]=null}getState(w,B){let Q=String(B),ee=a.e({},(this.state[w]||{})[Q],(this.stateChanges[w]||{})[Q]);if(this.deletedStates[w]===null)return{};if(this.deletedStates[w]){let le=this.deletedStates[w][B];if(le===null)return{};for(let qe in le)delete ee[qe]}return ee}initializeTileState(w,B){w.setFeatureState(this.state,B)}coalesceChanges(w,B){let Q={};for(let ee in this.stateChanges){this.state[ee]=this.state[ee]||{};let le={};for(let qe in this.stateChanges[ee])this.state[ee][qe]||(this.state[ee][qe]={}),a.e(this.state[ee][qe],this.stateChanges[ee][qe]),le[qe]=this.state[ee][qe];Q[ee]=le}for(let ee in this.deletedStates){this.state[ee]=this.state[ee]||{};let le={};if(this.deletedStates[ee]===null)for(let qe in this.state[ee])le[qe]={},this.state[ee][qe]={};else for(let qe in this.deletedStates[ee]){if(this.deletedStates[ee][qe]===null)this.state[ee][qe]={};else for(let Xe of Object.keys(this.deletedStates[ee][qe]))delete this.state[ee][qe][Xe];le[qe]=this.state[ee][qe]}Q[ee]=Q[ee]||{},a.e(Q[ee],le)}if(this.stateChanges={},this.deletedStates={},Object.keys(Q).length!==0)for(let ee in w)w[ee].setFeatureState(Q,B)}}class yt extends a.E{constructor(w,B,Q){super(),this.id=w,this.dispatcher=Q,this.on(\"data\",ee=>this._dataHandler(ee)),this.on(\"dataloading\",()=>{this._sourceErrored=!1}),this.on(\"error\",()=>{this._sourceErrored=this._source.loaded()}),this._source=((ee,le,qe,Xe)=>{let ot=new(wr(le.type))(ee,le,qe,Xe);if(ot.id!==ee)throw new Error(`Expected Source id to be ${ee} instead of ${ot.id}`);return ot})(w,B,Q,this),this._tiles={},this._cache=new Ft(0,ee=>this._unloadTile(ee)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._maxTileCacheZoomLevels=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new bt,this._didEmitContent=!1,this._updated=!1}onAdd(w){this.map=w,this._maxTileCacheSize=w?w._maxTileCacheSize:null,this._maxTileCacheZoomLevels=w?w._maxTileCacheZoomLevels:null,this._source&&this._source.onAdd&&this._source.onAdd(w)}onRemove(w){this.clearTiles(),this._source&&this._source.onRemove&&this._source.onRemove(w)}loaded(){if(this._sourceErrored)return!0;if(!this._sourceLoaded||!this._source.loaded())return!1;if(!(this.used===void 0&&this.usedForTerrain===void 0||this.used||this.usedForTerrain))return!0;if(!this._updated)return!1;for(let w in this._tiles){let B=this._tiles[w];if(B.state!==\"loaded\"&&B.state!==\"errored\")return!1}return!0}getSource(){return this._source}pause(){this._paused=!0}resume(){if(!this._paused)return;let w=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,w&&this.reload(),this.transform&&this.update(this.transform,this.terrain)}_loadTile(w,B,Q){return a._(this,void 0,void 0,function*(){try{yield this._source.loadTile(w),this._tileLoaded(w,B,Q)}catch(ee){w.state=\"errored\",ee.status!==404?this._source.fire(new a.j(ee,{tile:w})):this.update(this.transform,this.terrain)}})}_unloadTile(w){this._source.unloadTile&&this._source.unloadTile(w)}_abortTile(w){this._source.abortTile&&this._source.abortTile(w),this._source.fire(new a.k(\"dataabort\",{tile:w,coord:w.tileID,dataType:\"source\"}))}serialize(){return this._source.serialize()}prepare(w){this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null);for(let B in this._tiles){let Q=this._tiles[B];Q.upload(w),Q.prepare(this.map.style.imageManager)}}getIds(){return Object.values(this._tiles).map(w=>w.tileID).sort(Yt).map(w=>w.key)}getRenderableIds(w){let B=[];for(let Q in this._tiles)this._isIdRenderable(Q,w)&&B.push(this._tiles[Q]);return w?B.sort((Q,ee)=>{let le=Q.tileID,qe=ee.tileID,Xe=new a.P(le.canonical.x,le.canonical.y)._rotate(this.transform.angle),ot=new a.P(qe.canonical.x,qe.canonical.y)._rotate(this.transform.angle);return le.overscaledZ-qe.overscaledZ||ot.y-Xe.y||ot.x-Xe.x}).map(Q=>Q.tileID.key):B.map(Q=>Q.tileID).sort(Yt).map(Q=>Q.key)}hasRenderableParent(w){let B=this.findLoadedParent(w,0);return!!B&&this._isIdRenderable(B.tileID.key)}_isIdRenderable(w,B){return this._tiles[w]&&this._tiles[w].hasData()&&!this._coveredTiles[w]&&(B||!this._tiles[w].holdingForFade())}reload(){if(this._paused)this._shouldReloadOnResume=!0;else{this._cache.reset();for(let w in this._tiles)this._tiles[w].state!==\"errored\"&&this._reloadTile(w,\"reloading\")}}_reloadTile(w,B){return a._(this,void 0,void 0,function*(){let Q=this._tiles[w];Q&&(Q.state!==\"loading\"&&(Q.state=B),yield this._loadTile(Q,w,B))})}_tileLoaded(w,B,Q){w.timeAdded=u.now(),Q===\"expired\"&&(w.refreshedUponExpiration=!0),this._setTileReloadTimer(B,w),this.getSource().type===\"raster-dem\"&&w.dem&&this._backfillDEM(w),this._state.initializeTileState(w,this.map?this.map.painter:null),w.aborted||this._source.fire(new a.k(\"data\",{dataType:\"source\",tile:w,coord:w.tileID}))}_backfillDEM(w){let B=this.getRenderableIds();for(let ee=0;ee<B.length;ee++){let le=B[ee];if(w.neighboringTiles&&w.neighboringTiles[le]){let qe=this.getTileByID(le);Q(w,qe),Q(qe,w)}}function Q(ee,le){ee.needsHillshadePrepare=!0,ee.needsTerrainPrepare=!0;let qe=le.tileID.canonical.x-ee.tileID.canonical.x,Xe=le.tileID.canonical.y-ee.tileID.canonical.y,ot=Math.pow(2,ee.tileID.canonical.z),Tt=le.tileID.key;qe===0&&Xe===0||Math.abs(Xe)>1||(Math.abs(qe)>1&&(Math.abs(qe+ot)===1?qe+=ot:Math.abs(qe-ot)===1&&(qe-=ot)),le.dem&&ee.dem&&(ee.dem.backfillBorder(le.dem,qe,Xe),ee.neighboringTiles&&ee.neighboringTiles[Tt]&&(ee.neighboringTiles[Tt].backfilled=!0)))}}getTile(w){return this.getTileByID(w.key)}getTileByID(w){return this._tiles[w]}_retainLoadedChildren(w,B,Q,ee){for(let le in this._tiles){let qe=this._tiles[le];if(ee[le]||!qe.hasData()||qe.tileID.overscaledZ<=B||qe.tileID.overscaledZ>Q)continue;let Xe=qe.tileID;for(;qe&&qe.tileID.overscaledZ>B+1;){let Tt=qe.tileID.scaledTo(qe.tileID.overscaledZ-1);qe=this._tiles[Tt.key],qe&&qe.hasData()&&(Xe=Tt)}let ot=Xe;for(;ot.overscaledZ>B;)if(ot=ot.scaledTo(ot.overscaledZ-1),w[ot.key]){ee[Xe.key]=Xe;break}}}findLoadedParent(w,B){if(w.key in this._loadedParentTiles){let Q=this._loadedParentTiles[w.key];return Q&&Q.tileID.overscaledZ>=B?Q:null}for(let Q=w.overscaledZ-1;Q>=B;Q--){let ee=w.scaledTo(Q),le=this._getLoadedTile(ee);if(le)return le}}findLoadedSibling(w){return this._getLoadedTile(w)}_getLoadedTile(w){let B=this._tiles[w.key];return B&&B.hasData()?B:this._cache.getByKey(w.wrapped().key)}updateCacheSize(w){let B=Math.ceil(w.width/this._source.tileSize)+1,Q=Math.ceil(w.height/this._source.tileSize)+1,ee=Math.floor(B*Q*(this._maxTileCacheZoomLevels===null?a.a.MAX_TILE_CACHE_ZOOM_LEVELS:this._maxTileCacheZoomLevels)),le=typeof this._maxTileCacheSize==\"number\"?Math.min(this._maxTileCacheSize,ee):ee;this._cache.setMaxSize(le)}handleWrapJump(w){let B=Math.round((w-(this._prevLng===void 0?w:this._prevLng))/360);if(this._prevLng=w,B){let Q={};for(let ee in this._tiles){let le=this._tiles[ee];le.tileID=le.tileID.unwrapTo(le.tileID.wrap+B),Q[le.tileID.key]=le}this._tiles=Q;for(let ee in this._timers)clearTimeout(this._timers[ee]),delete this._timers[ee];for(let ee in this._tiles)this._setTileReloadTimer(ee,this._tiles[ee])}}_updateCoveredAndRetainedTiles(w,B,Q,ee,le,qe){let Xe={},ot={},Tt=Object.keys(w),Kt=u.now();for(let Jt of Tt){let xr=w[Jt],Pr=this._tiles[Jt];if(!Pr||Pr.fadeEndTime!==0&&Pr.fadeEndTime<=Kt)continue;let ve=this.findLoadedParent(xr,B),be=this.findLoadedSibling(xr),Re=ve||be||null;Re&&(this._addTile(Re.tileID),Xe[Re.tileID.key]=Re.tileID),ot[Jt]=xr}this._retainLoadedChildren(ot,ee,Q,w);for(let Jt in Xe)w[Jt]||(this._coveredTiles[Jt]=!0,w[Jt]=Xe[Jt]);if(qe){let Jt={},xr={};for(let Pr of le)this._tiles[Pr.key].hasData()?Jt[Pr.key]=Pr:xr[Pr.key]=Pr;for(let Pr in xr){let ve=xr[Pr].children(this._source.maxzoom);this._tiles[ve[0].key]&&this._tiles[ve[1].key]&&this._tiles[ve[2].key]&&this._tiles[ve[3].key]&&(Jt[ve[0].key]=w[ve[0].key]=ve[0],Jt[ve[1].key]=w[ve[1].key]=ve[1],Jt[ve[2].key]=w[ve[2].key]=ve[2],Jt[ve[3].key]=w[ve[3].key]=ve[3],delete xr[Pr])}for(let Pr in xr){let ve=xr[Pr],be=this.findLoadedParent(ve,this._source.minzoom),Re=this.findLoadedSibling(ve),Be=be||Re||null;if(Be){Jt[Be.tileID.key]=w[Be.tileID.key]=Be.tileID;for(let tt in Jt)Jt[tt].isChildOf(Be.tileID)&&delete Jt[tt]}}for(let Pr in this._tiles)Jt[Pr]||(this._coveredTiles[Pr]=!0)}}update(w,B){if(!this._sourceLoaded||this._paused)return;let Q;this.transform=w,this.terrain=B,this.updateCacheSize(w),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used||this.usedForTerrain?this._source.tileID?Q=w.getVisibleUnwrappedCoordinates(this._source.tileID).map(Kt=>new a.S(Kt.canonical.z,Kt.wrap,Kt.canonical.z,Kt.canonical.x,Kt.canonical.y)):(Q=w.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:B}),this._source.hasTile&&(Q=Q.filter(Kt=>this._source.hasTile(Kt)))):Q=[];let ee=w.coveringZoomLevel(this._source),le=Math.max(ee-yt.maxOverzooming,this._source.minzoom),qe=Math.max(ee+yt.maxUnderzooming,this._source.minzoom);if(this.usedForTerrain){let Kt={};for(let Jt of Q)if(Jt.canonical.z>this._source.minzoom){let xr=Jt.scaledTo(Jt.canonical.z-1);Kt[xr.key]=xr;let Pr=Jt.scaledTo(Math.max(this._source.minzoom,Math.min(Jt.canonical.z,5)));Kt[Pr.key]=Pr}Q=Q.concat(Object.values(Kt))}let Xe=Q.length===0&&!this._updated&&this._didEmitContent;this._updated=!0,Xe&&this.fire(new a.k(\"data\",{sourceDataType:\"idle\",dataType:\"source\",sourceId:this.id}));let ot=this._updateRetainedTiles(Q,ee);lr(this._source.type)&&this._updateCoveredAndRetainedTiles(ot,le,qe,ee,Q,B);for(let Kt in ot)this._tiles[Kt].clearFadeHold();let Tt=a.ab(this._tiles,ot);for(let Kt of Tt){let Jt=this._tiles[Kt];Jt.hasSymbolBuckets&&!Jt.holdingForFade()?Jt.setHoldDuration(this.map._fadeDuration):Jt.hasSymbolBuckets&&!Jt.symbolFadeFinished()||this._removeTile(Kt)}this._updateLoadedParentTileCache(),this._updateLoadedSiblingTileCache()}releaseSymbolFadeTiles(){for(let w in this._tiles)this._tiles[w].holdingForFade()&&this._removeTile(w)}_updateRetainedTiles(w,B){var Q;let ee={},le={},qe=Math.max(B-yt.maxOverzooming,this._source.minzoom),Xe=Math.max(B+yt.maxUnderzooming,this._source.minzoom),ot={};for(let Tt of w){let Kt=this._addTile(Tt);ee[Tt.key]=Tt,Kt.hasData()||B<this._source.maxzoom&&(ot[Tt.key]=Tt)}this._retainLoadedChildren(ot,B,Xe,ee);for(let Tt of w){let Kt=this._tiles[Tt.key];if(Kt.hasData())continue;if(B+1>this._source.maxzoom){let xr=Tt.children(this._source.maxzoom)[0],Pr=this.getTile(xr);if(Pr&&Pr.hasData()){ee[xr.key]=xr;continue}}else{let xr=Tt.children(this._source.maxzoom);if(ee[xr[0].key]&&ee[xr[1].key]&&ee[xr[2].key]&&ee[xr[3].key])continue}let Jt=Kt.wasRequested();for(let xr=Tt.overscaledZ-1;xr>=qe;--xr){let Pr=Tt.scaledTo(xr);if(le[Pr.key])break;if(le[Pr.key]=!0,Kt=this.getTile(Pr),!Kt&&Jt&&(Kt=this._addTile(Pr)),Kt){let ve=Kt.hasData();if((ve||!(!((Q=this.map)===null||Q===void 0)&&Q.cancelPendingTileRequestsWhileZooming)||Jt)&&(ee[Pr.key]=Pr),Jt=Kt.wasRequested(),ve)break}}}return ee}_updateLoadedParentTileCache(){this._loadedParentTiles={};for(let w in this._tiles){let B=[],Q,ee=this._tiles[w].tileID;for(;ee.overscaledZ>0;){if(ee.key in this._loadedParentTiles){Q=this._loadedParentTiles[ee.key];break}B.push(ee.key);let le=ee.scaledTo(ee.overscaledZ-1);if(Q=this._getLoadedTile(le),Q)break;ee=le}for(let le of B)this._loadedParentTiles[le]=Q}}_updateLoadedSiblingTileCache(){this._loadedSiblingTiles={};for(let w in this._tiles){let B=this._tiles[w].tileID,Q=this._getLoadedTile(B);this._loadedSiblingTiles[B.key]=Q}}_addTile(w){let B=this._tiles[w.key];if(B)return B;B=this._cache.getAndRemove(w),B&&(this._setTileReloadTimer(w.key,B),B.tileID=w,this._state.initializeTileState(B,this.map?this.map.painter:null),this._cacheTimers[w.key]&&(clearTimeout(this._cacheTimers[w.key]),delete this._cacheTimers[w.key],this._setTileReloadTimer(w.key,B)));let Q=B;return B||(B=new Ut(w,this._source.tileSize*w.overscaleFactor()),this._loadTile(B,w.key,B.state)),B.uses++,this._tiles[w.key]=B,Q||this._source.fire(new a.k(\"dataloading\",{tile:B,coord:B.tileID,dataType:\"source\"})),B}_setTileReloadTimer(w,B){w in this._timers&&(clearTimeout(this._timers[w]),delete this._timers[w]);let Q=B.getExpiryTimeout();Q&&(this._timers[w]=setTimeout(()=>{this._reloadTile(w,\"expired\"),delete this._timers[w]},Q))}_removeTile(w){let B=this._tiles[w];B&&(B.uses--,delete this._tiles[w],this._timers[w]&&(clearTimeout(this._timers[w]),delete this._timers[w]),B.uses>0||(B.hasData()&&B.state!==\"reloading\"?this._cache.add(B.tileID,B,B.getExpiryTimeout()):(B.aborted=!0,this._abortTile(B),this._unloadTile(B))))}_dataHandler(w){let B=w.sourceDataType;w.dataType===\"source\"&&B===\"metadata\"&&(this._sourceLoaded=!0),this._sourceLoaded&&!this._paused&&w.dataType===\"source\"&&B===\"content\"&&(this.reload(),this.transform&&this.update(this.transform,this.terrain),this._didEmitContent=!0)}clearTiles(){this._shouldReloadOnResume=!1,this._paused=!1;for(let w in this._tiles)this._removeTile(w);this._cache.reset()}tilesIn(w,B,Q){let ee=[],le=this.transform;if(!le)return ee;let qe=Q?le.getCameraQueryGeometry(w):w,Xe=w.map(ve=>le.pointCoordinate(ve,this.terrain)),ot=qe.map(ve=>le.pointCoordinate(ve,this.terrain)),Tt=this.getIds(),Kt=1/0,Jt=1/0,xr=-1/0,Pr=-1/0;for(let ve of ot)Kt=Math.min(Kt,ve.x),Jt=Math.min(Jt,ve.y),xr=Math.max(xr,ve.x),Pr=Math.max(Pr,ve.y);for(let ve=0;ve<Tt.length;ve++){let be=this._tiles[Tt[ve]];if(be.holdingForFade())continue;let Re=be.tileID,Be=Math.pow(2,le.zoom-be.tileID.overscaledZ),tt=B*be.queryPadding*a.X/be.tileSize/Be,We=[Re.getTilePoint(new a.Z(Kt,Jt)),Re.getTilePoint(new a.Z(xr,Pr))];if(We[0].x-tt<a.X&&We[0].y-tt<a.X&&We[1].x+tt>=0&&We[1].y+tt>=0){let it=Xe.map(Ht=>Re.getTilePoint(Ht)),Dt=ot.map(Ht=>Re.getTilePoint(Ht));ee.push({tile:be,tileID:Re,queryGeometry:it,cameraQueryGeometry:Dt,scale:Be})}}return ee}getVisibleCoordinates(w){let B=this.getRenderableIds(w).map(Q=>this._tiles[Q].tileID);for(let Q of B)Q.posMatrix=this.transform.calculatePosMatrix(Q.toUnwrapped());return B}hasTransition(){if(this._source.hasTransition())return!0;if(lr(this._source.type)){let w=u.now();for(let B in this._tiles)if(this._tiles[B].fadeEndTime>=w)return!0}return!1}setFeatureState(w,B,Q){this._state.updateState(w=w||\"_geojsonTileLayer\",B,Q)}removeFeatureState(w,B,Q){this._state.removeFeatureState(w=w||\"_geojsonTileLayer\",B,Q)}getFeatureState(w,B){return this._state.getState(w=w||\"_geojsonTileLayer\",B)}setDependencies(w,B,Q){let ee=this._tiles[w];ee&&ee.setDependencies(B,Q)}reloadTilesForDependencies(w,B){for(let Q in this._tiles)this._tiles[Q].hasDependency(w,B)&&this._reloadTile(Q,\"reloading\");this._cache.filter(Q=>!Q.hasDependency(w,B))}}function Yt(ue,w){let B=Math.abs(2*ue.wrap)-+(ue.wrap<0),Q=Math.abs(2*w.wrap)-+(w.wrap<0);return ue.overscaledZ-w.overscaledZ||Q-B||w.canonical.y-ue.canonical.y||w.canonical.x-ue.canonical.x}function lr(ue){return ue===\"raster\"||ue===\"image\"||ue===\"video\"}yt.maxOverzooming=10,yt.maxUnderzooming=3;class Tr{constructor(w,B){this.reset(w,B)}reset(w,B){this.points=w||[],this._distances=[0];for(let Q=1;Q<this.points.length;Q++)this._distances[Q]=this._distances[Q-1]+this.points[Q].dist(this.points[Q-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(B||0,.5*this.length),this.paddedLength=this.length-2*this.padding}lerp(w){if(this.points.length===1)return this.points[0];w=a.ac(w,0,1);let B=1,Q=this._distances[B],ee=w*this.paddedLength+this.padding;for(;Q<ee&&B<this._distances.length;)Q=this._distances[++B];let le=B-1,qe=this._distances[le],Xe=Q-qe,ot=Xe>0?(ee-qe)/Xe:0;return this.points[le].mult(1-ot).add(this.points[B].mult(ot))}}function Rr(ue,w){let B=!0;return ue===\"always\"||ue!==\"never\"&&w!==\"never\"||(B=!1),B}class ei{constructor(w,B,Q){let ee=this.boxCells=[],le=this.circleCells=[];this.xCellCount=Math.ceil(w/Q),this.yCellCount=Math.ceil(B/Q);for(let qe=0;qe<this.xCellCount*this.yCellCount;qe++)ee.push([]),le.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=w,this.height=B,this.xScale=this.xCellCount/w,this.yScale=this.yCellCount/B,this.boxUid=0,this.circleUid=0}keysLength(){return this.boxKeys.length+this.circleKeys.length}insert(w,B,Q,ee,le){this._forEachCell(B,Q,ee,le,this._insertBoxCell,this.boxUid++),this.boxKeys.push(w),this.bboxes.push(B),this.bboxes.push(Q),this.bboxes.push(ee),this.bboxes.push(le)}insertCircle(w,B,Q,ee){this._forEachCell(B-ee,Q-ee,B+ee,Q+ee,this._insertCircleCell,this.circleUid++),this.circleKeys.push(w),this.circles.push(B),this.circles.push(Q),this.circles.push(ee)}_insertBoxCell(w,B,Q,ee,le,qe){this.boxCells[le].push(qe)}_insertCircleCell(w,B,Q,ee,le,qe){this.circleCells[le].push(qe)}_query(w,B,Q,ee,le,qe,Xe){if(Q<0||w>this.width||ee<0||B>this.height)return[];let ot=[];if(w<=0&&B<=0&&this.width<=Q&&this.height<=ee){if(le)return[{key:null,x1:w,y1:B,x2:Q,y2:ee}];for(let Tt=0;Tt<this.boxKeys.length;Tt++)ot.push({key:this.boxKeys[Tt],x1:this.bboxes[4*Tt],y1:this.bboxes[4*Tt+1],x2:this.bboxes[4*Tt+2],y2:this.bboxes[4*Tt+3]});for(let Tt=0;Tt<this.circleKeys.length;Tt++){let Kt=this.circles[3*Tt],Jt=this.circles[3*Tt+1],xr=this.circles[3*Tt+2];ot.push({key:this.circleKeys[Tt],x1:Kt-xr,y1:Jt-xr,x2:Kt+xr,y2:Jt+xr})}}else this._forEachCell(w,B,Q,ee,this._queryCell,ot,{hitTest:le,overlapMode:qe,seenUids:{box:{},circle:{}}},Xe);return ot}query(w,B,Q,ee){return this._query(w,B,Q,ee,!1,null)}hitTest(w,B,Q,ee,le,qe){return this._query(w,B,Q,ee,!0,le,qe).length>0}hitTestCircle(w,B,Q,ee,le){let qe=w-Q,Xe=w+Q,ot=B-Q,Tt=B+Q;if(Xe<0||qe>this.width||Tt<0||ot>this.height)return!1;let Kt=[];return this._forEachCell(qe,ot,Xe,Tt,this._queryCellCircle,Kt,{hitTest:!0,overlapMode:ee,circle:{x:w,y:B,radius:Q},seenUids:{box:{},circle:{}}},le),Kt.length>0}_queryCell(w,B,Q,ee,le,qe,Xe,ot){let{seenUids:Tt,hitTest:Kt,overlapMode:Jt}=Xe,xr=this.boxCells[le];if(xr!==null){let ve=this.bboxes;for(let be of xr)if(!Tt.box[be]){Tt.box[be]=!0;let Re=4*be,Be=this.boxKeys[be];if(w<=ve[Re+2]&&B<=ve[Re+3]&&Q>=ve[Re+0]&&ee>=ve[Re+1]&&(!ot||ot(Be))&&(!Kt||!Rr(Jt,Be.overlapMode))&&(qe.push({key:Be,x1:ve[Re],y1:ve[Re+1],x2:ve[Re+2],y2:ve[Re+3]}),Kt))return!0}}let Pr=this.circleCells[le];if(Pr!==null){let ve=this.circles;for(let be of Pr)if(!Tt.circle[be]){Tt.circle[be]=!0;let Re=3*be,Be=this.circleKeys[be];if(this._circleAndRectCollide(ve[Re],ve[Re+1],ve[Re+2],w,B,Q,ee)&&(!ot||ot(Be))&&(!Kt||!Rr(Jt,Be.overlapMode))){let tt=ve[Re],We=ve[Re+1],it=ve[Re+2];if(qe.push({key:Be,x1:tt-it,y1:We-it,x2:tt+it,y2:We+it}),Kt)return!0}}}return!1}_queryCellCircle(w,B,Q,ee,le,qe,Xe,ot){let{circle:Tt,seenUids:Kt,overlapMode:Jt}=Xe,xr=this.boxCells[le];if(xr!==null){let ve=this.bboxes;for(let be of xr)if(!Kt.box[be]){Kt.box[be]=!0;let Re=4*be,Be=this.boxKeys[be];if(this._circleAndRectCollide(Tt.x,Tt.y,Tt.radius,ve[Re+0],ve[Re+1],ve[Re+2],ve[Re+3])&&(!ot||ot(Be))&&!Rr(Jt,Be.overlapMode))return qe.push(!0),!0}}let Pr=this.circleCells[le];if(Pr!==null){let ve=this.circles;for(let be of Pr)if(!Kt.circle[be]){Kt.circle[be]=!0;let Re=3*be,Be=this.circleKeys[be];if(this._circlesCollide(ve[Re],ve[Re+1],ve[Re+2],Tt.x,Tt.y,Tt.radius)&&(!ot||ot(Be))&&!Rr(Jt,Be.overlapMode))return qe.push(!0),!0}}}_forEachCell(w,B,Q,ee,le,qe,Xe,ot){let Tt=this._convertToXCellCoord(w),Kt=this._convertToYCellCoord(B),Jt=this._convertToXCellCoord(Q),xr=this._convertToYCellCoord(ee);for(let Pr=Tt;Pr<=Jt;Pr++)for(let ve=Kt;ve<=xr;ve++)if(le.call(this,w,B,Q,ee,this.xCellCount*ve+Pr,qe,Xe,ot))return}_convertToXCellCoord(w){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(w*this.xScale)))}_convertToYCellCoord(w){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(w*this.yScale)))}_circlesCollide(w,B,Q,ee,le,qe){let Xe=ee-w,ot=le-B,Tt=Q+qe;return Tt*Tt>Xe*Xe+ot*ot}_circleAndRectCollide(w,B,Q,ee,le,qe,Xe){let ot=(qe-ee)/2,Tt=Math.abs(w-(ee+ot));if(Tt>ot+Q)return!1;let Kt=(Xe-le)/2,Jt=Math.abs(B-(le+Kt));if(Jt>Kt+Q)return!1;if(Tt<=ot||Jt<=Kt)return!0;let xr=Tt-ot,Pr=Jt-Kt;return xr*xr+Pr*Pr<=Q*Q}}function Wr(ue,w,B,Q,ee){let le=a.H();return w?(a.K(le,le,[1/ee,1/ee,1]),B||a.ad(le,le,Q.angle)):a.L(le,Q.labelPlaneMatrix,ue),le}function Ur(ue,w,B,Q,ee){if(w){let le=a.ae(ue);return a.K(le,le,[ee,ee,1]),B||a.ad(le,le,-Q.angle),le}return Q.glCoordMatrix}function dt(ue,w,B,Q){let ee;Q?(ee=[ue,w,Q(ue,w),1],a.af(ee,ee,B)):(ee=[ue,w,0,1],Jr(ee,ee,B));let le=ee[3];return{point:new a.P(ee[0]/le,ee[1]/le),signedDistanceFromCamera:le,isOccluded:!1}}function Ge(ue,w){return .5+ue/w*.5}function Je(ue,w){return ue.x>=-w[0]&&ue.x<=w[0]&&ue.y>=-w[1]&&ue.y<=w[1]}function je(ue,w,B,Q,ee,le,qe,Xe,ot,Tt,Kt,Jt,xr,Pr,ve){let be=Q?ue.textSizeData:ue.iconSizeData,Re=a.ag(be,B.transform.zoom),Be=[256/B.width*2+1,256/B.height*2+1],tt=Q?ue.text.dynamicLayoutVertexArray:ue.icon.dynamicLayoutVertexArray;tt.clear();let We=ue.lineVertexArray,it=Q?ue.text.placedSymbolArray:ue.icon.placedSymbolArray,Dt=B.transform.width/B.transform.height,Ht=!1;for(let rr=0;rr<it.length;rr++){let dr=it.get(rr);if(dr.hidden||dr.writingMode===a.ah.vertical&&!Ht){di(dr.numGlyphs,tt);continue}Ht=!1;let Sr=dt(dr.anchorX,dr.anchorY,w,ve);if(!Je(Sr.point,Be)){di(dr.numGlyphs,tt);continue}let Or=Ge(B.transform.cameraToCenterDistance,Sr.signedDistanceFromCamera),jr=a.ai(be,Re,dr),ii=qe?jr/Or:jr*Or,Li={getElevation:ve,labelPlaneMatrix:ee,lineVertexArray:We,pitchWithMap:qe,projectionCache:{projections:{},offsets:{},cachedAnchorPoint:void 0,anyProjectionOccluded:!1},projection:Tt,tileAnchorPoint:new a.P(dr.anchorX,dr.anchorY),unwrappedTileID:Kt,width:Jt,height:xr,translation:Pr},un=Ie(Li,dr,ii,!1,Xe,w,le,ue.glyphOffsetArray,tt,Dt,ot);Ht=un.useVertical,(un.notEnoughRoom||Ht||un.needsFlipping&&Ie(Li,dr,ii,!0,Xe,w,le,ue.glyphOffsetArray,tt,Dt,ot).notEnoughRoom)&&di(dr.numGlyphs,tt)}Q?ue.text.dynamicLayoutVertexBuffer.updateData(tt):ue.icon.dynamicLayoutVertexBuffer.updateData(tt)}function $e(ue,w,B,Q,ee,le,qe,Xe){let ot=le.glyphStartIndex+le.numGlyphs,Tt=le.lineStartIndex,Kt=le.lineStartIndex+le.lineLength,Jt=w.getoffsetX(le.glyphStartIndex),xr=w.getoffsetX(ot-1),Pr=pr(ue*Jt,B,Q,ee,le.segment,Tt,Kt,Xe,qe);if(!Pr)return null;let ve=pr(ue*xr,B,Q,ee,le.segment,Tt,Kt,Xe,qe);return ve?Xe.projectionCache.anyProjectionOccluded?null:{first:Pr,last:ve}:null}function wt(ue,w,B,Q){return ue===a.ah.horizontal&&Math.abs(B.y-w.y)>Math.abs(B.x-w.x)*Q?{useVertical:!0}:(ue===a.ah.vertical?w.y<B.y:w.x>B.x)?{needsFlipping:!0}:null}function Ie(ue,w,B,Q,ee,le,qe,Xe,ot,Tt,Kt){let Jt=B/24,xr=w.lineOffsetX*Jt,Pr=w.lineOffsetY*Jt,ve;if(w.numGlyphs>1){let be=w.glyphStartIndex+w.numGlyphs,Re=w.lineStartIndex,Be=w.lineStartIndex+w.lineLength,tt=$e(Jt,Xe,xr,Pr,Q,w,Kt,ue);if(!tt)return{notEnoughRoom:!0};let We=dt(tt.first.point.x,tt.first.point.y,qe,ue.getElevation).point,it=dt(tt.last.point.x,tt.last.point.y,qe,ue.getElevation).point;if(ee&&!Q){let Dt=wt(w.writingMode,We,it,Tt);if(Dt)return Dt}ve=[tt.first];for(let Dt=w.glyphStartIndex+1;Dt<be-1;Dt++)ve.push(pr(Jt*Xe.getoffsetX(Dt),xr,Pr,Q,w.segment,Re,Be,ue,Kt));ve.push(tt.last)}else{if(ee&&!Q){let Re=dt(ue.tileAnchorPoint.x,ue.tileAnchorPoint.y,le,ue.getElevation).point,Be=w.lineStartIndex+w.segment+1,tt=new a.P(ue.lineVertexArray.getx(Be),ue.lineVertexArray.gety(Be)),We=dt(tt.x,tt.y,le,ue.getElevation),it=We.signedDistanceFromCamera>0?We.point:function(Ht,rr,dr,Sr,Or,jr){return xe(Ht,rr,dr,1,Or,jr)}(ue.tileAnchorPoint,tt,Re,0,le,ue),Dt=wt(w.writingMode,Re,it,Tt);if(Dt)return Dt}let be=pr(Jt*Xe.getoffsetX(w.glyphStartIndex),xr,Pr,Q,w.segment,w.lineStartIndex,w.lineStartIndex+w.lineLength,ue,Kt);if(!be||ue.projectionCache.anyProjectionOccluded)return{notEnoughRoom:!0};ve=[be]}for(let be of ve)a.aj(ot,be.point,be.angle);return{}}function xe(ue,w,B,Q,ee,le){let qe=ue.add(ue.sub(w)._unit()),Xe=ee!==void 0?dt(qe.x,qe.y,ee,le.getElevation).point:vt(qe.x,qe.y,le).point,ot=B.sub(Xe);return B.add(ot._mult(Q/ot.mag()))}function Ce(ue,w,B){let Q=w.projectionCache;if(Q.projections[ue])return Q.projections[ue];let ee=new a.P(w.lineVertexArray.getx(ue),w.lineVertexArray.gety(ue)),le=vt(ee.x,ee.y,w);if(le.signedDistanceFromCamera>0)return Q.projections[ue]=le.point,Q.anyProjectionOccluded=Q.anyProjectionOccluded||le.isOccluded,le.point;let qe=ue-B.direction;return function(Xe,ot,Tt,Kt,Jt){return xe(Xe,ot,Tt,Kt,void 0,Jt)}(B.distanceFromAnchor===0?w.tileAnchorPoint:new a.P(w.lineVertexArray.getx(qe),w.lineVertexArray.gety(qe)),ee,B.previousVertex,B.absOffsetX-B.distanceFromAnchor+1,w)}function vt(ue,w,B){let Q=ue+B.translation[0],ee=w+B.translation[1],le;return!B.pitchWithMap&&B.projection.useSpecialProjectionForSymbols?(le=B.projection.projectTileCoordinates(Q,ee,B.unwrappedTileID,B.getElevation),le.point.x=(.5*le.point.x+.5)*B.width,le.point.y=(.5*-le.point.y+.5)*B.height):(le=dt(Q,ee,B.labelPlaneMatrix,B.getElevation),le.isOccluded=!1),le}function nr(ue,w,B){return ue._unit()._perp()._mult(w*B)}function ir(ue,w,B,Q,ee,le,qe,Xe,ot){if(Xe.projectionCache.offsets[ue])return Xe.projectionCache.offsets[ue];let Tt=B.add(w);if(ue+ot.direction<Q||ue+ot.direction>=ee)return Xe.projectionCache.offsets[ue]=Tt,Tt;let Kt=Ce(ue+ot.direction,Xe,ot),Jt=nr(Kt.sub(B),qe,ot.direction),xr=B.add(Jt),Pr=Kt.add(Jt);return Xe.projectionCache.offsets[ue]=a.ak(le,Tt,xr,Pr)||Tt,Xe.projectionCache.offsets[ue]}function pr(ue,w,B,Q,ee,le,qe,Xe,ot){let Tt=Q?ue-w:ue+w,Kt=Tt>0?1:-1,Jt=0;Q&&(Kt*=-1,Jt=Math.PI),Kt<0&&(Jt+=Math.PI);let xr,Pr=Kt>0?le+ee:le+ee+1;Xe.projectionCache.cachedAnchorPoint?xr=Xe.projectionCache.cachedAnchorPoint:(xr=vt(Xe.tileAnchorPoint.x,Xe.tileAnchorPoint.y,Xe).point,Xe.projectionCache.cachedAnchorPoint=xr);let ve,be,Re=xr,Be=xr,tt=0,We=0,it=Math.abs(Tt),Dt=[],Ht;for(;tt+We<=it;){if(Pr+=Kt,Pr<le||Pr>=qe)return null;tt+=We,Be=Re,be=ve;let Sr={absOffsetX:it,direction:Kt,distanceFromAnchor:tt,previousVertex:Be};if(Re=Ce(Pr,Xe,Sr),B===0)Dt.push(Be),Ht=Re.sub(Be);else{let Or,jr=Re.sub(Be);Or=jr.mag()===0?nr(Ce(Pr+Kt,Xe,Sr).sub(Re),B,Kt):nr(jr,B,Kt),be||(be=Be.add(Or)),ve=ir(Pr,Or,Re,le,qe,be,B,Xe,Sr),Dt.push(be),Ht=ve.sub(be)}We=Ht.mag()}let rr=Ht._mult((it-tt)/We)._add(be||Be),dr=Jt+Math.atan2(Re.y-Be.y,Re.x-Be.x);return Dt.push(rr),{point:rr,angle:ot?dr:0,path:Dt}}let oi=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function di(ue,w){for(let B=0;B<ue;B++){let Q=w.length;w.resize(Q+4),w.float32.set(oi,3*Q)}}function Jr(ue,w,B){let Q=w[0],ee=w[1];return ue[0]=B[0]*Q+B[4]*ee+B[12],ue[1]=B[1]*Q+B[5]*ee+B[13],ue[3]=B[3]*Q+B[7]*ee+B[15],ue}let fi=100;class Hi{constructor(w,B,Q=new ei(w.width+200,w.height+200,25),ee=new ei(w.width+200,w.height+200,25)){this.transform=w,this.mapProjection=B,this.grid=Q,this.ignoredGrid=ee,this.pitchFactor=Math.cos(w._pitch)*w.cameraToCenterDistance,this.screenRightBoundary=w.width+fi,this.screenBottomBoundary=w.height+fi,this.gridRightBoundary=w.width+200,this.gridBottomBoundary=w.height+200,this.perspectiveRatioCutoff=.6}placeCollisionBox(w,B,Q,ee,le,qe,Xe,ot,Tt,Kt,Jt){let xr=w.anchorPointX+ot[0],Pr=w.anchorPointY+ot[1],ve=this.projectAndGetPerspectiveRatio(ee,xr,Pr,le,Kt),be=Q*ve.perspectiveRatio,Re;if(qe||Xe)Re=this._projectCollisionBox(w,be,ee,le,qe,Xe,ot,ve,Kt,Jt);else{let Dt=ve.point.x+(Jt?Jt.x*be:0),Ht=ve.point.y+(Jt?Jt.y*be:0);Re={allPointsOccluded:!1,box:[Dt+w.x1*be,Ht+w.y1*be,Dt+w.x2*be,Ht+w.y2*be]}}let[Be,tt,We,it]=Re.box;return this.mapProjection.useSpecialProjectionForSymbols&&(qe?Re.allPointsOccluded:this.mapProjection.isOccluded(xr,Pr,le))||ve.perspectiveRatio<this.perspectiveRatioCutoff||!this.isInsideGrid(Be,tt,We,it)||B!==\"always\"&&this.grid.hitTest(Be,tt,We,it,B,Tt)?{box:[Be,tt,We,it],placeable:!1,offscreen:!1}:{box:[Be,tt,We,it],placeable:!0,offscreen:this.isOffscreen(Be,tt,We,it)}}placeCollisionCircles(w,B,Q,ee,le,qe,Xe,ot,Tt,Kt,Jt,xr,Pr,ve,be,Re){let Be=[],tt=new a.P(B.anchorX,B.anchorY),We=this.getPerspectiveRatio(qe,tt.x,tt.y,Xe,Re),it=(Jt?le/We:le*We)/a.ap,Dt={getElevation:Re,labelPlaneMatrix:ot,lineVertexArray:Q,pitchWithMap:Jt,projectionCache:{projections:{},offsets:{},cachedAnchorPoint:void 0,anyProjectionOccluded:!1},projection:this.mapProjection,tileAnchorPoint:tt,unwrappedTileID:Xe,width:this.transform.width,height:this.transform.height,translation:be},Ht=$e(it,ee,B.lineOffsetX*it,B.lineOffsetY*it,!1,B,!1,Dt),rr=!1,dr=!1,Sr=!0;if(Ht){let Or=.5*Pr*We+ve,jr=new a.P(-100,-100),ii=new a.P(this.screenRightBoundary,this.screenBottomBoundary),Li=new Tr,un=Ht.first,sn=Ht.last,In=[];for(let fa=un.path.length-1;fa>=1;fa--)In.push(un.path[fa]);for(let fa=1;fa<sn.path.length;fa++)In.push(sn.path[fa]);let Kn=2.5*Or;if(Tt){let fa=this.projectPathToScreenSpace(In,Dt,Tt);In=fa.some($a=>$a.signedDistanceFromCamera<=0)?[]:fa.map($a=>$a.point)}let Aa=[];if(In.length>0){let fa=In[0].clone(),$a=In[0].clone();for(let ko=1;ko<In.length;ko++)fa.x=Math.min(fa.x,In[ko].x),fa.y=Math.min(fa.y,In[ko].y),$a.x=Math.max($a.x,In[ko].x),$a.y=Math.max($a.y,In[ko].y);Aa=fa.x>=jr.x&&$a.x<=ii.x&&fa.y>=jr.y&&$a.y<=ii.y?[In]:$a.x<jr.x||fa.x>ii.x||$a.y<jr.y||fa.y>ii.y?[]:a.al([In],jr.x,jr.y,ii.x,ii.y)}for(let fa of Aa){Li.reset(fa,.25*Or);let $a=0;$a=Li.length<=.5*Or?1:Math.ceil(Li.paddedLength/Kn)+1;for(let ko=0;ko<$a;ko++){let Qa=ko/Math.max($a-1,1),mo=Li.lerp(Qa),Bo=mo.x+fi,Is=mo.y+fi;Be.push(Bo,Is,Or,0);let As=Bo-Or,wo=Is-Or,To=Bo+Or,dl=Is+Or;if(Sr=Sr&&this.isOffscreen(As,wo,To,dl),dr=dr||this.isInsideGrid(As,wo,To,dl),w!==\"always\"&&this.grid.hitTestCircle(Bo,Is,Or,w,xr)&&(rr=!0,!Kt))return{circles:[],offscreen:!1,collisionDetected:rr}}}}return{circles:!Kt&&rr||!dr||We<this.perspectiveRatioCutoff?[]:Be,offscreen:Sr,collisionDetected:rr}}projectPathToScreenSpace(w,B,Q){return w.map(ee=>dt(ee.x,ee.y,Q,B.getElevation))}queryRenderedSymbols(w){if(w.length===0||this.grid.keysLength()===0&&this.ignoredGrid.keysLength()===0)return{};let B=[],Q=1/0,ee=1/0,le=-1/0,qe=-1/0;for(let Kt of w){let Jt=new a.P(Kt.x+fi,Kt.y+fi);Q=Math.min(Q,Jt.x),ee=Math.min(ee,Jt.y),le=Math.max(le,Jt.x),qe=Math.max(qe,Jt.y),B.push(Jt)}let Xe=this.grid.query(Q,ee,le,qe).concat(this.ignoredGrid.query(Q,ee,le,qe)),ot={},Tt={};for(let Kt of Xe){let Jt=Kt.key;if(ot[Jt.bucketInstanceId]===void 0&&(ot[Jt.bucketInstanceId]={}),ot[Jt.bucketInstanceId][Jt.featureIndex])continue;let xr=[new a.P(Kt.x1,Kt.y1),new a.P(Kt.x2,Kt.y1),new a.P(Kt.x2,Kt.y2),new a.P(Kt.x1,Kt.y2)];a.am(B,xr)&&(ot[Jt.bucketInstanceId][Jt.featureIndex]=!0,Tt[Jt.bucketInstanceId]===void 0&&(Tt[Jt.bucketInstanceId]=[]),Tt[Jt.bucketInstanceId].push(Jt.featureIndex))}return Tt}insertCollisionBox(w,B,Q,ee,le,qe){(Q?this.ignoredGrid:this.grid).insert({bucketInstanceId:ee,featureIndex:le,collisionGroupID:qe,overlapMode:B},w[0],w[1],w[2],w[3])}insertCollisionCircles(w,B,Q,ee,le,qe){let Xe=Q?this.ignoredGrid:this.grid,ot={bucketInstanceId:ee,featureIndex:le,collisionGroupID:qe,overlapMode:B};for(let Tt=0;Tt<w.length;Tt+=4)Xe.insertCircle(ot,w[Tt],w[Tt+1],w[Tt+2])}projectAndGetPerspectiveRatio(w,B,Q,ee,le){let qe;le?(qe=[B,Q,le(B,Q),1],a.af(qe,qe,w)):(qe=[B,Q,0,1],Jr(qe,qe,w));let Xe=qe[3];return{point:new a.P((qe[0]/Xe+1)/2*this.transform.width+fi,(-qe[1]/Xe+1)/2*this.transform.height+fi),perspectiveRatio:.5+this.transform.cameraToCenterDistance/Xe*.5,isOccluded:!1,signedDistanceFromCamera:Xe}}getPerspectiveRatio(w,B,Q,ee,le){let qe=this.mapProjection.useSpecialProjectionForSymbols?this.mapProjection.projectTileCoordinates(B,Q,ee,le):dt(B,Q,w,le);return .5+this.transform.cameraToCenterDistance/qe.signedDistanceFromCamera*.5}isOffscreen(w,B,Q,ee){return Q<fi||w>=this.screenRightBoundary||ee<fi||B>this.screenBottomBoundary}isInsideGrid(w,B,Q,ee){return Q>=0&&w<this.gridRightBoundary&&ee>=0&&B<this.gridBottomBoundary}getViewportMatrix(){let w=a.an([]);return a.J(w,w,[-100,-100,0]),w}_projectCollisionBox(w,B,Q,ee,le,qe,Xe,ot,Tt,Kt){let Jt=new a.P(1,0),xr=new a.P(0,1),Pr=new a.P(w.anchorPointX+Xe[0],w.anchorPointY+Xe[1]);if(qe&&!le){let Sr=this.projectAndGetPerspectiveRatio(Q,Pr.x+1,Pr.y,ee,Tt).point.sub(ot.point).unit(),Or=Math.atan(Sr.y/Sr.x)+(Sr.x<0?Math.PI:0),jr=Math.sin(Or),ii=Math.cos(Or);Jt=new a.P(ii,jr),xr=new a.P(-jr,ii)}else if(!qe&&le){let Sr=-this.transform.angle,Or=Math.sin(Sr),jr=Math.cos(Sr);Jt=new a.P(jr,Or),xr=new a.P(-Or,jr)}let ve=ot.point,be=B;if(le){ve=Pr;let Sr=this.transform.zoom-Math.floor(this.transform.zoom);be=Math.pow(2,-Sr),be*=this.mapProjection.getPitchedTextCorrection(this.transform,Pr,ee),Kt||(be*=a.ac(.5+ot.signedDistanceFromCamera/this.transform.cameraToCenterDistance*.5,0,4))}Kt&&(ve=ve.add(Jt.mult(Kt.x*be)).add(xr.mult(Kt.y*be)));let Re=w.x1*be,Be=w.x2*be,tt=(Re+Be)/2,We=w.y1*be,it=w.y2*be,Dt=(We+it)/2,Ht=[{offsetX:Re,offsetY:We},{offsetX:tt,offsetY:We},{offsetX:Be,offsetY:We},{offsetX:Be,offsetY:Dt},{offsetX:Be,offsetY:it},{offsetX:tt,offsetY:it},{offsetX:Re,offsetY:it},{offsetX:Re,offsetY:Dt}],rr=[];for(let{offsetX:Sr,offsetY:Or}of Ht)rr.push(new a.P(ve.x+Jt.x*Sr+xr.x*Or,ve.y+Jt.y*Sr+xr.y*Or));let dr=!1;if(le){let Sr=rr.map(Or=>this.projectAndGetPerspectiveRatio(Q,Or.x,Or.y,ee,Tt));dr=Sr.some(Or=>!Or.isOccluded),rr=Sr.map(Or=>Or.point)}else dr=!0;return{box:a.ao(rr),allPointsOccluded:!dr}}}function Pn(ue,w,B){return w*(a.X/(ue.tileSize*Math.pow(2,B-ue.tileID.overscaledZ)))}class wn{constructor(w,B,Q,ee){this.opacity=w?Math.max(0,Math.min(1,w.opacity+(w.placed?B:-B))):ee&&Q?1:0,this.placed=Q}isHidden(){return this.opacity===0&&!this.placed}}class pn{constructor(w,B,Q,ee,le){this.text=new wn(w?w.text:null,B,Q,le),this.icon=new wn(w?w.icon:null,B,ee,le)}isHidden(){return this.text.isHidden()&&this.icon.isHidden()}}class Vn{constructor(w,B,Q){this.text=w,this.icon=B,this.skipFade=Q}}class kn{constructor(){this.invProjMatrix=a.H(),this.viewportMatrix=a.H(),this.circles=[]}}class ea{constructor(w,B,Q,ee,le){this.bucketInstanceId=w,this.featureIndex=B,this.sourceLayerIndex=Q,this.bucketIndex=ee,this.tileID=le}}class ua{constructor(w){this.crossSourceCollisions=w,this.maxGroupID=0,this.collisionGroups={}}get(w){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[w]){let B=++this.maxGroupID;this.collisionGroups[w]={ID:B,predicate:Q=>Q.collisionGroupID===B}}return this.collisionGroups[w]}}function Vt(ue,w,B,Q,ee){let{horizontalAlign:le,verticalAlign:qe}=a.au(ue);return new a.P(-(le-.5)*w+Q[0]*ee,-(qe-.5)*B+Q[1]*ee)}class _t{constructor(w,B,Q,ee,le,qe){this.transform=w.clone(),this.terrain=Q,this.collisionIndex=new Hi(this.transform,B),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=ee,this.retainedQueryData={},this.collisionGroups=new ua(le),this.collisionCircleArrays={},this.collisionBoxArrays=new Map,this.prevPlacement=qe,qe&&(qe.prevPlacement=void 0),this.placedOrientations={}}_getTerrainElevationFunc(w){let B=this.terrain;return B?(Q,ee)=>B.getElevation(w,Q,ee):null}getBucketParts(w,B,Q,ee){let le=Q.getBucket(B),qe=Q.latestFeatureIndex;if(!le||!qe||B.id!==le.layerIds[0])return;let Xe=Q.collisionBoxArray,ot=le.layers[0].layout,Tt=le.layers[0].paint,Kt=Math.pow(2,this.transform.zoom-Q.tileID.overscaledZ),Jt=Q.tileSize/a.X,xr=Q.tileID.toUnwrapped(),Pr=this.transform.calculatePosMatrix(xr),ve=ot.get(\"text-pitch-alignment\")===\"map\",be=ot.get(\"text-rotation-alignment\")===\"map\",Re=Pn(Q,1,this.transform.zoom),Be=this.collisionIndex.mapProjection.translatePosition(this.transform,Q,Tt.get(\"text-translate\"),Tt.get(\"text-translate-anchor\")),tt=this.collisionIndex.mapProjection.translatePosition(this.transform,Q,Tt.get(\"icon-translate\"),Tt.get(\"icon-translate-anchor\")),We=Wr(Pr,ve,be,this.transform,Re),it=null;if(ve){let Ht=Ur(Pr,ve,be,this.transform,Re);it=a.L([],this.transform.labelPlaneMatrix,Ht)}this.retainedQueryData[le.bucketInstanceId]=new ea(le.bucketInstanceId,qe,le.sourceLayerIndex,le.index,Q.tileID);let Dt={bucket:le,layout:ot,translationText:Be,translationIcon:tt,posMatrix:Pr,unwrappedTileID:xr,textLabelPlaneMatrix:We,labelToScreenMatrix:it,scale:Kt,textPixelRatio:Jt,holdingForFade:Q.holdingForFade(),collisionBoxArray:Xe,partiallyEvaluatedTextSize:a.ag(le.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(le.sourceID)};if(ee)for(let Ht of le.sortKeyRanges){let{sortKey:rr,symbolInstanceStart:dr,symbolInstanceEnd:Sr}=Ht;w.push({sortKey:rr,symbolInstanceStart:dr,symbolInstanceEnd:Sr,parameters:Dt})}else w.push({symbolInstanceStart:0,symbolInstanceEnd:le.symbolInstances.length,parameters:Dt})}attemptAnchorPlacement(w,B,Q,ee,le,qe,Xe,ot,Tt,Kt,Jt,xr,Pr,ve,be,Re,Be,tt,We){let it=a.aq[w.textAnchor],Dt=[w.textOffset0,w.textOffset1],Ht=Vt(it,Q,ee,Dt,le),rr=this.collisionIndex.placeCollisionBox(B,xr,ot,Tt,Kt,Xe,qe,Re,Jt.predicate,We,Ht);if((!tt||this.collisionIndex.placeCollisionBox(tt,xr,ot,Tt,Kt,Xe,qe,Be,Jt.predicate,We,Ht).placeable)&&rr.placeable){let dr;if(this.prevPlacement&&this.prevPlacement.variableOffsets[Pr.crossTileID]&&this.prevPlacement.placements[Pr.crossTileID]&&this.prevPlacement.placements[Pr.crossTileID].text&&(dr=this.prevPlacement.variableOffsets[Pr.crossTileID].anchor),Pr.crossTileID===0)throw new Error(\"symbolInstance.crossTileID can't be 0\");return this.variableOffsets[Pr.crossTileID]={textOffset:Dt,width:Q,height:ee,anchor:it,textBoxScale:le,prevAnchor:dr},this.markUsedJustification(ve,it,Pr,be),ve.allowVerticalPlacement&&(this.markUsedOrientation(ve,be,Pr),this.placedOrientations[Pr.crossTileID]=be),{shift:Ht,placedGlyphBoxes:rr}}}placeLayerBucketPart(w,B,Q){let{bucket:ee,layout:le,translationText:qe,translationIcon:Xe,posMatrix:ot,unwrappedTileID:Tt,textLabelPlaneMatrix:Kt,labelToScreenMatrix:Jt,textPixelRatio:xr,holdingForFade:Pr,collisionBoxArray:ve,partiallyEvaluatedTextSize:be,collisionGroup:Re}=w.parameters,Be=le.get(\"text-optional\"),tt=le.get(\"icon-optional\"),We=a.ar(le,\"text-overlap\",\"text-allow-overlap\"),it=We===\"always\",Dt=a.ar(le,\"icon-overlap\",\"icon-allow-overlap\"),Ht=Dt===\"always\",rr=le.get(\"text-rotation-alignment\")===\"map\",dr=le.get(\"text-pitch-alignment\")===\"map\",Sr=le.get(\"icon-text-fit\")!==\"none\",Or=le.get(\"symbol-z-order\")===\"viewport-y\",jr=it&&(Ht||!ee.hasIconData()||tt),ii=Ht&&(it||!ee.hasTextData()||Be);!ee.collisionArrays&&ve&&ee.deserializeCollisionBoxes(ve);let Li=this._getTerrainElevationFunc(this.retainedQueryData[ee.bucketInstanceId].tileID),un=(sn,In,Kn)=>{var Aa,fa;if(B[sn.crossTileID])return;if(Pr)return void(this.placements[sn.crossTileID]=new Vn(!1,!1,!1));let $a=!1,ko=!1,Qa=!0,mo=null,Bo={box:null,placeable:!1,offscreen:null},Is={box:null,placeable:!1,offscreen:null},As=null,wo=null,To=null,dl=0,Nl=0,Lu=0;In.textFeatureIndex?dl=In.textFeatureIndex:sn.useRuntimeCollisionCircles&&(dl=sn.featureIndex),In.verticalTextFeatureIndex&&(Nl=In.verticalTextFeatureIndex);let ou=In.textBox;if(ou){let Tl=Te=>{let Ne=a.ah.horizontal;if(ee.allowVerticalPlacement&&!Te&&this.prevPlacement){let He=this.prevPlacement.placedOrientations[sn.crossTileID];He&&(this.placedOrientations[sn.crossTileID]=He,Ne=He,this.markUsedOrientation(ee,Ne,sn))}return Ne},Al=(Te,Ne)=>{if(ee.allowVerticalPlacement&&sn.numVerticalGlyphVertices>0&&In.verticalTextBox){for(let He of ee.writingModes)if(He===a.ah.vertical?(Bo=Ne(),Is=Bo):Bo=Te(),Bo&&Bo.placeable)break}else Bo=Te()},X=sn.textAnchorOffsetStartIndex,se=sn.textAnchorOffsetEndIndex;if(se===X){let Te=(Ne,He)=>{let Ye=this.collisionIndex.placeCollisionBox(Ne,We,xr,ot,Tt,dr,rr,qe,Re.predicate,Li);return Ye&&Ye.placeable&&(this.markUsedOrientation(ee,He,sn),this.placedOrientations[sn.crossTileID]=He),Ye};Al(()=>Te(ou,a.ah.horizontal),()=>{let Ne=In.verticalTextBox;return ee.allowVerticalPlacement&&sn.numVerticalGlyphVertices>0&&Ne?Te(Ne,a.ah.vertical):{box:null,offscreen:null}}),Tl(Bo&&Bo.placeable)}else{let Te=a.aq[(fa=(Aa=this.prevPlacement)===null||Aa===void 0?void 0:Aa.variableOffsets[sn.crossTileID])===null||fa===void 0?void 0:fa.anchor],Ne=(Ye,Ct,nt)=>{let jt=Ye.x2-Ye.x1,gr=Ye.y2-Ye.y1,yr=sn.textBoxScale,Gr=Sr&&Dt===\"never\"?Ct:null,qr=null,_i=We===\"never\"?1:2,bi=\"never\";Te&&_i++;for(let Xr=0;Xr<_i;Xr++){for(let ni=X;ni<se;ni++){let gi=ee.textAnchorOffsets.get(ni);if(Te&&gi.textAnchor!==Te)continue;let Pi=this.attemptAnchorPlacement(gi,Ye,jt,gr,yr,rr,dr,xr,ot,Tt,Re,bi,sn,ee,nt,qe,Xe,Gr,Li);if(Pi&&(qr=Pi.placedGlyphBoxes,qr&&qr.placeable))return $a=!0,mo=Pi.shift,qr}Te?Te=null:bi=We}return Q&&!qr&&(qr={box:this.collisionIndex.placeCollisionBox(ou,\"always\",xr,ot,Tt,dr,rr,qe,Re.predicate,Li,new a.P(0,0)).box,offscreen:!1,placeable:!1}),qr};Al(()=>Ne(ou,In.iconBox,a.ah.horizontal),()=>{let Ye=In.verticalTextBox;return ee.allowVerticalPlacement&&(!Bo||!Bo.placeable)&&sn.numVerticalGlyphVertices>0&&Ye?Ne(Ye,In.verticalIconBox,a.ah.vertical):{box:null,occluded:!0,offscreen:null}}),Bo&&($a=Bo.placeable,Qa=Bo.offscreen);let He=Tl(Bo&&Bo.placeable);if(!$a&&this.prevPlacement){let Ye=this.prevPlacement.variableOffsets[sn.crossTileID];Ye&&(this.variableOffsets[sn.crossTileID]=Ye,this.markUsedJustification(ee,Ye.anchor,sn,He))}}}if(As=Bo,$a=As&&As.placeable,Qa=As&&As.offscreen,sn.useRuntimeCollisionCircles){let Tl=ee.text.placedSymbolArray.get(sn.centerJustifiedTextSymbolIndex),Al=a.ai(ee.textSizeData,be,Tl),X=le.get(\"text-padding\");wo=this.collisionIndex.placeCollisionCircles(We,Tl,ee.lineVertexArray,ee.glyphOffsetArray,Al,ot,Tt,Kt,Jt,Q,dr,Re.predicate,sn.collisionCircleDiameter,X,qe,Li),wo.circles.length&&wo.collisionDetected&&!Q&&a.w(\"Collisions detected, but collision boxes are not shown\"),$a=it||wo.circles.length>0&&!wo.collisionDetected,Qa=Qa&&wo.offscreen}if(In.iconFeatureIndex&&(Lu=In.iconFeatureIndex),In.iconBox){let Tl=Al=>this.collisionIndex.placeCollisionBox(Al,Dt,xr,ot,Tt,dr,rr,Xe,Re.predicate,Li,Sr&&mo?mo:void 0);Is&&Is.placeable&&In.verticalIconBox?(To=Tl(In.verticalIconBox),ko=To.placeable):(To=Tl(In.iconBox),ko=To.placeable),Qa=Qa&&To.offscreen}let $s=Be||sn.numHorizontalGlyphVertices===0&&sn.numVerticalGlyphVertices===0,Ql=tt||sn.numIconVertices===0;$s||Ql?Ql?$s||(ko=ko&&$a):$a=ko&&$a:ko=$a=ko&&$a;let dc=ko&&To.placeable;if($a&&As.placeable&&this.collisionIndex.insertCollisionBox(As.box,We,le.get(\"text-ignore-placement\"),ee.bucketInstanceId,Is&&Is.placeable&&Nl?Nl:dl,Re.ID),dc&&this.collisionIndex.insertCollisionBox(To.box,Dt,le.get(\"icon-ignore-placement\"),ee.bucketInstanceId,Lu,Re.ID),wo&&$a&&this.collisionIndex.insertCollisionCircles(wo.circles,We,le.get(\"text-ignore-placement\"),ee.bucketInstanceId,dl,Re.ID),Q&&this.storeCollisionData(ee.bucketInstanceId,Kn,In,As,To,wo),sn.crossTileID===0)throw new Error(\"symbolInstance.crossTileID can't be 0\");if(ee.bucketInstanceId===0)throw new Error(\"bucket.bucketInstanceId can't be 0\");this.placements[sn.crossTileID]=new Vn($a||jr,ko||ii,Qa||ee.justReloaded),B[sn.crossTileID]=!0};if(Or){if(w.symbolInstanceStart!==0)throw new Error(\"bucket.bucketInstanceId should be 0\");let sn=ee.getSortedSymbolIndexes(this.transform.angle);for(let In=sn.length-1;In>=0;--In){let Kn=sn[In];un(ee.symbolInstances.get(Kn),ee.collisionArrays[Kn],Kn)}}else for(let sn=w.symbolInstanceStart;sn<w.symbolInstanceEnd;sn++)un(ee.symbolInstances.get(sn),ee.collisionArrays[sn],sn);if(Q&&ee.bucketInstanceId in this.collisionCircleArrays){let sn=this.collisionCircleArrays[ee.bucketInstanceId];a.as(sn.invProjMatrix,ot),sn.viewportMatrix=this.collisionIndex.getViewportMatrix()}ee.justReloaded=!1}storeCollisionData(w,B,Q,ee,le,qe){if(Q.textBox||Q.iconBox){let Xe,ot;this.collisionBoxArrays.has(w)?Xe=this.collisionBoxArrays.get(w):(Xe=new Map,this.collisionBoxArrays.set(w,Xe)),Xe.has(B)?ot=Xe.get(B):(ot={text:null,icon:null},Xe.set(B,ot)),Q.textBox&&(ot.text=ee.box),Q.iconBox&&(ot.icon=le.box)}if(qe){let Xe=this.collisionCircleArrays[w];Xe===void 0&&(Xe=this.collisionCircleArrays[w]=new kn);for(let ot=0;ot<qe.circles.length;ot+=4)Xe.circles.push(qe.circles[ot+0]),Xe.circles.push(qe.circles[ot+1]),Xe.circles.push(qe.circles[ot+2]),Xe.circles.push(qe.collisionDetected?1:0)}}markUsedJustification(w,B,Q,ee){let le;le=ee===a.ah.vertical?Q.verticalPlacedTextSymbolIndex:{left:Q.leftJustifiedTextSymbolIndex,center:Q.centerJustifiedTextSymbolIndex,right:Q.rightJustifiedTextSymbolIndex}[a.at(B)];let qe=[Q.leftJustifiedTextSymbolIndex,Q.centerJustifiedTextSymbolIndex,Q.rightJustifiedTextSymbolIndex,Q.verticalPlacedTextSymbolIndex];for(let Xe of qe)Xe>=0&&(w.text.placedSymbolArray.get(Xe).crossTileID=le>=0&&Xe!==le?0:Q.crossTileID)}markUsedOrientation(w,B,Q){let ee=B===a.ah.horizontal||B===a.ah.horizontalOnly?B:0,le=B===a.ah.vertical?B:0,qe=[Q.leftJustifiedTextSymbolIndex,Q.centerJustifiedTextSymbolIndex,Q.rightJustifiedTextSymbolIndex];for(let Xe of qe)w.text.placedSymbolArray.get(Xe).placedOrientation=ee;Q.verticalPlacedTextSymbolIndex&&(w.text.placedSymbolArray.get(Q.verticalPlacedTextSymbolIndex).placedOrientation=le)}commit(w){this.commitTime=w,this.zoomAtLastRecencyCheck=this.transform.zoom;let B=this.prevPlacement,Q=!1;this.prevZoomAdjustment=B?B.zoomAdjustment(this.transform.zoom):0;let ee=B?B.symbolFadeChange(w):1,le=B?B.opacities:{},qe=B?B.variableOffsets:{},Xe=B?B.placedOrientations:{};for(let ot in this.placements){let Tt=this.placements[ot],Kt=le[ot];Kt?(this.opacities[ot]=new pn(Kt,ee,Tt.text,Tt.icon),Q=Q||Tt.text!==Kt.text.placed||Tt.icon!==Kt.icon.placed):(this.opacities[ot]=new pn(null,ee,Tt.text,Tt.icon,Tt.skipFade),Q=Q||Tt.text||Tt.icon)}for(let ot in le){let Tt=le[ot];if(!this.opacities[ot]){let Kt=new pn(Tt,ee,!1,!1);Kt.isHidden()||(this.opacities[ot]=Kt,Q=Q||Tt.text.placed||Tt.icon.placed)}}for(let ot in qe)this.variableOffsets[ot]||!this.opacities[ot]||this.opacities[ot].isHidden()||(this.variableOffsets[ot]=qe[ot]);for(let ot in Xe)this.placedOrientations[ot]||!this.opacities[ot]||this.opacities[ot].isHidden()||(this.placedOrientations[ot]=Xe[ot]);if(B&&B.lastPlacementChangeTime===void 0)throw new Error(\"Last placement time for previous placement is not defined\");Q?this.lastPlacementChangeTime=w:typeof this.lastPlacementChangeTime!=\"number\"&&(this.lastPlacementChangeTime=B?B.lastPlacementChangeTime:w)}updateLayerOpacities(w,B){let Q={};for(let ee of B){let le=ee.getBucket(w);le&&ee.latestFeatureIndex&&w.id===le.layerIds[0]&&this.updateBucketOpacities(le,ee.tileID,Q,ee.collisionBoxArray)}}updateBucketOpacities(w,B,Q,ee){w.hasTextData()&&(w.text.opacityVertexArray.clear(),w.text.hasVisibleVertices=!1),w.hasIconData()&&(w.icon.opacityVertexArray.clear(),w.icon.hasVisibleVertices=!1),w.hasIconCollisionBoxData()&&w.iconCollisionBox.collisionVertexArray.clear(),w.hasTextCollisionBoxData()&&w.textCollisionBox.collisionVertexArray.clear();let le=w.layers[0],qe=le.layout,Xe=new pn(null,0,!1,!1,!0),ot=qe.get(\"text-allow-overlap\"),Tt=qe.get(\"icon-allow-overlap\"),Kt=le._unevaluatedLayout.hasValue(\"text-variable-anchor\")||le._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"),Jt=qe.get(\"text-rotation-alignment\")===\"map\",xr=qe.get(\"text-pitch-alignment\")===\"map\",Pr=qe.get(\"icon-text-fit\")!==\"none\",ve=new pn(null,0,ot&&(Tt||!w.hasIconData()||qe.get(\"icon-optional\")),Tt&&(ot||!w.hasTextData()||qe.get(\"text-optional\")),!0);!w.collisionArrays&&ee&&(w.hasIconCollisionBoxData()||w.hasTextCollisionBoxData())&&w.deserializeCollisionBoxes(ee);let be=(Be,tt,We)=>{for(let it=0;it<tt/4;it++)Be.opacityVertexArray.emplaceBack(We);Be.hasVisibleVertices=Be.hasVisibleVertices||We!==cn},Re=this.collisionBoxArrays.get(w.bucketInstanceId);for(let Be=0;Be<w.symbolInstances.length;Be++){let tt=w.symbolInstances.get(Be),{numHorizontalGlyphVertices:We,numVerticalGlyphVertices:it,crossTileID:Dt}=tt,Ht=this.opacities[Dt];Q[Dt]?Ht=Xe:Ht||(Ht=ve,this.opacities[Dt]=Ht),Q[Dt]=!0;let rr=tt.numIconVertices>0,dr=this.placedOrientations[tt.crossTileID],Sr=dr===a.ah.vertical,Or=dr===a.ah.horizontal||dr===a.ah.horizontalOnly;if(We>0||it>0){let ii=en(Ht.text);be(w.text,We,Sr?cn:ii),be(w.text,it,Or?cn:ii);let Li=Ht.text.isHidden();[tt.rightJustifiedTextSymbolIndex,tt.centerJustifiedTextSymbolIndex,tt.leftJustifiedTextSymbolIndex].forEach(In=>{In>=0&&(w.text.placedSymbolArray.get(In).hidden=Li||Sr?1:0)}),tt.verticalPlacedTextSymbolIndex>=0&&(w.text.placedSymbolArray.get(tt.verticalPlacedTextSymbolIndex).hidden=Li||Or?1:0);let un=this.variableOffsets[tt.crossTileID];un&&this.markUsedJustification(w,un.anchor,tt,dr);let sn=this.placedOrientations[tt.crossTileID];sn&&(this.markUsedJustification(w,\"left\",tt,sn),this.markUsedOrientation(w,sn,tt))}if(rr){let ii=en(Ht.icon),Li=!(Pr&&tt.verticalPlacedIconSymbolIndex&&Sr);tt.placedIconSymbolIndex>=0&&(be(w.icon,tt.numIconVertices,Li?ii:cn),w.icon.placedSymbolArray.get(tt.placedIconSymbolIndex).hidden=Ht.icon.isHidden()),tt.verticalPlacedIconSymbolIndex>=0&&(be(w.icon,tt.numVerticalIconVertices,Li?cn:ii),w.icon.placedSymbolArray.get(tt.verticalPlacedIconSymbolIndex).hidden=Ht.icon.isHidden())}let jr=Re&&Re.has(Be)?Re.get(Be):{text:null,icon:null};if(w.hasIconCollisionBoxData()||w.hasTextCollisionBoxData()){let ii=w.collisionArrays[Be];if(ii){let Li=new a.P(0,0);if(ii.textBox||ii.verticalTextBox){let un=!0;if(Kt){let sn=this.variableOffsets[Dt];sn?(Li=Vt(sn.anchor,sn.width,sn.height,sn.textOffset,sn.textBoxScale),Jt&&Li._rotate(xr?this.transform.angle:-this.transform.angle)):un=!1}if(ii.textBox||ii.verticalTextBox){let sn;ii.textBox&&(sn=Sr),ii.verticalTextBox&&(sn=Or),tr(w.textCollisionBox.collisionVertexArray,Ht.text.placed,!un||sn,jr.text,Li.x,Li.y)}}if(ii.iconBox||ii.verticalIconBox){let un=!!(!Or&&ii.verticalIconBox),sn;ii.iconBox&&(sn=un),ii.verticalIconBox&&(sn=!un),tr(w.iconCollisionBox.collisionVertexArray,Ht.icon.placed,sn,jr.icon,Pr?Li.x:0,Pr?Li.y:0)}}}}if(w.sortFeatures(this.transform.angle),this.retainedQueryData[w.bucketInstanceId]&&(this.retainedQueryData[w.bucketInstanceId].featureSortOrder=w.featureSortOrder),w.hasTextData()&&w.text.opacityVertexBuffer&&w.text.opacityVertexBuffer.updateData(w.text.opacityVertexArray),w.hasIconData()&&w.icon.opacityVertexBuffer&&w.icon.opacityVertexBuffer.updateData(w.icon.opacityVertexArray),w.hasIconCollisionBoxData()&&w.iconCollisionBox.collisionVertexBuffer&&w.iconCollisionBox.collisionVertexBuffer.updateData(w.iconCollisionBox.collisionVertexArray),w.hasTextCollisionBoxData()&&w.textCollisionBox.collisionVertexBuffer&&w.textCollisionBox.collisionVertexBuffer.updateData(w.textCollisionBox.collisionVertexArray),w.text.opacityVertexArray.length!==w.text.layoutVertexArray.length/4)throw new Error(`bucket.text.opacityVertexArray.length (= ${w.text.opacityVertexArray.length}) !== bucket.text.layoutVertexArray.length (= ${w.text.layoutVertexArray.length}) / 4`);if(w.icon.opacityVertexArray.length!==w.icon.layoutVertexArray.length/4)throw new Error(`bucket.icon.opacityVertexArray.length (= ${w.icon.opacityVertexArray.length}) !== bucket.icon.layoutVertexArray.length (= ${w.icon.layoutVertexArray.length}) / 4`);if(w.bucketInstanceId in this.collisionCircleArrays){let Be=this.collisionCircleArrays[w.bucketInstanceId];w.placementInvProjMatrix=Be.invProjMatrix,w.placementViewportMatrix=Be.viewportMatrix,w.collisionCircleArray=Be.circles,delete this.collisionCircleArrays[w.bucketInstanceId]}}symbolFadeChange(w){return this.fadeDuration===0?1:(w-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment}zoomAdjustment(w){return Math.max(0,(this.transform.zoom-w)/1.5)}hasTransitions(w){return this.stale||w-this.lastPlacementChangeTime<this.fadeDuration}stillRecent(w,B){let Q=this.zoomAtLastRecencyCheck===B?1-this.zoomAdjustment(B):1;return this.zoomAtLastRecencyCheck=B,this.commitTime+this.fadeDuration*Q>w}setStale(){this.stale=!0}}function tr(ue,w,B,Q,ee,le){Q&&Q.length!==0||(Q=[0,0,0,0]);let qe=Q[0]-fi,Xe=Q[1]-fi,ot=Q[2]-fi,Tt=Q[3]-fi;ue.emplaceBack(w?1:0,B?1:0,ee||0,le||0,qe,Xe),ue.emplaceBack(w?1:0,B?1:0,ee||0,le||0,ot,Xe),ue.emplaceBack(w?1:0,B?1:0,ee||0,le||0,ot,Tt),ue.emplaceBack(w?1:0,B?1:0,ee||0,le||0,qe,Tt)}let ar=Math.pow(2,25),Er=Math.pow(2,24),Zr=Math.pow(2,17),ri=Math.pow(2,16),$r=Math.pow(2,9),zi=Math.pow(2,8),Ji=Math.pow(2,1);function en(ue){if(ue.opacity===0&&!ue.placed)return 0;if(ue.opacity===1&&ue.placed)return 4294967295;let w=ue.placed?1:0,B=Math.floor(127*ue.opacity);return B*ar+w*Er+B*Zr+w*ri+B*$r+w*zi+B*Ji+w}let cn=0;function yn(){return{isOccluded:(ue,w,B)=>!1,getPitchedTextCorrection:(ue,w,B)=>1,get useSpecialProjectionForSymbols(){return!1},projectTileCoordinates(ue,w,B,Q){throw new Error(\"Not implemented.\")},translatePosition:(ue,w,B,Q)=>function(ee,le,qe,Xe,ot=!1){if(!qe[0]&&!qe[1])return[0,0];let Tt=ot?Xe===\"map\"?ee.angle:0:Xe===\"viewport\"?-ee.angle:0;if(Tt){let Kt=Math.sin(Tt),Jt=Math.cos(Tt);qe=[qe[0]*Jt-qe[1]*Kt,qe[0]*Kt+qe[1]*Jt]}return[ot?qe[0]:Pn(le,qe[0],ee.zoom),ot?qe[1]:Pn(le,qe[1],ee.zoom)]}(ue,w,B,Q),getCircleRadiusCorrection:ue=>1}}class Mn{constructor(w){this._sortAcrossTiles=w.layout.get(\"symbol-z-order\")!==\"viewport-y\"&&!w.layout.get(\"symbol-sort-key\").isConstant(),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]}continuePlacement(w,B,Q,ee,le){let qe=this._bucketParts;for(;this._currentTileIndex<w.length;)if(B.getBucketParts(qe,ee,w[this._currentTileIndex],this._sortAcrossTiles),this._currentTileIndex++,le())return!0;for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,qe.sort((Xe,ot)=>Xe.sortKey-ot.sortKey));this._currentPartIndex<qe.length;)if(B.placeLayerBucketPart(qe[this._currentPartIndex],this._seenCrossTileIDs,Q),this._currentPartIndex++,le())return!0;return!1}}class Ba{constructor(w,B,Q,ee,le,qe,Xe,ot){this.placement=new _t(w,yn(),B,qe,Xe,ot),this._currentPlacementIndex=Q.length-1,this._forceFullPlacement=ee,this._showCollisionBoxes=le,this._done=!1}isDone(){return this._done}continuePlacement(w,B,Q){let ee=u.now(),le=()=>!this._forceFullPlacement&&u.now()-ee>2;for(;this._currentPlacementIndex>=0;){let qe=B[w[this._currentPlacementIndex]],Xe=this.placement.collisionIndex.transform.zoom;if(qe.type===\"symbol\"&&(!qe.minzoom||qe.minzoom<=Xe)&&(!qe.maxzoom||qe.maxzoom>Xe)){if(this._inProgressLayer||(this._inProgressLayer=new Mn(qe)),this._inProgressLayer.continuePlacement(Q[qe.source],this.placement,this._showCollisionBoxes,qe,le))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0}commit(w){return this.placement.commit(w),this.placement}}let la=512/a.X/2;class ma{constructor(w,B,Q){this.tileID=w,this.bucketInstanceId=Q,this._symbolsByKey={};let ee=new Map;for(let le=0;le<B.length;le++){let qe=B.get(le),Xe=qe.key,ot=ee.get(Xe);ot?ot.push(qe):ee.set(Xe,[qe])}for(let[le,qe]of ee){let Xe={positions:qe.map(ot=>({x:Math.floor(ot.anchorX*la),y:Math.floor(ot.anchorY*la)})),crossTileIDs:qe.map(ot=>ot.crossTileID)};if(Xe.positions.length>128){let ot=new a.av(Xe.positions.length,16,Uint16Array);for(let{x:Tt,y:Kt}of Xe.positions)ot.add(Tt,Kt);ot.finish(),delete Xe.positions,Xe.index=ot}this._symbolsByKey[le]=Xe}}getScaledCoordinates(w,B){let{x:Q,y:ee,z:le}=this.tileID.canonical,{x:qe,y:Xe,z:ot}=B.canonical,Tt=la/Math.pow(2,ot-le),Kt=(Xe*a.X+w.anchorY)*Tt,Jt=ee*a.X*la;return{x:Math.floor((qe*a.X+w.anchorX)*Tt-Q*a.X*la),y:Math.floor(Kt-Jt)}}findMatches(w,B,Q){let ee=this.tileID.canonical.z<B.canonical.z?1:Math.pow(2,this.tileID.canonical.z-B.canonical.z);for(let le=0;le<w.length;le++){let qe=w.get(le);if(qe.crossTileID)continue;let Xe=this._symbolsByKey[qe.key];if(!Xe)continue;let ot=this.getScaledCoordinates(qe,B);if(Xe.index){let Tt=Xe.index.range(ot.x-ee,ot.y-ee,ot.x+ee,ot.y+ee).sort();for(let Kt of Tt){let Jt=Xe.crossTileIDs[Kt];if(!Q[Jt]){Q[Jt]=!0,qe.crossTileID=Jt;break}}}else if(Xe.positions)for(let Tt=0;Tt<Xe.positions.length;Tt++){let Kt=Xe.positions[Tt],Jt=Xe.crossTileIDs[Tt];if(Math.abs(Kt.x-ot.x)<=ee&&Math.abs(Kt.y-ot.y)<=ee&&!Q[Jt]){Q[Jt]=!0,qe.crossTileID=Jt;break}}}}getCrossTileIDsLists(){return Object.values(this._symbolsByKey).map(({crossTileIDs:w})=>w)}}class Wa{constructor(){this.maxCrossTileID=0}generate(){return++this.maxCrossTileID}}class Fa{constructor(){this.indexes={},this.usedCrossTileIDs={},this.lng=0}handleWrapJump(w){let B=Math.round((w-this.lng)/360);if(B!==0)for(let Q in this.indexes){let ee=this.indexes[Q],le={};for(let qe in ee){let Xe=ee[qe];Xe.tileID=Xe.tileID.unwrapTo(Xe.tileID.wrap+B),le[Xe.tileID.key]=Xe}this.indexes[Q]=le}this.lng=w}addBucket(w,B,Q){if(this.indexes[w.overscaledZ]&&this.indexes[w.overscaledZ][w.key]){if(this.indexes[w.overscaledZ][w.key].bucketInstanceId===B.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(w.overscaledZ,this.indexes[w.overscaledZ][w.key])}for(let le=0;le<B.symbolInstances.length;le++)B.symbolInstances.get(le).crossTileID=0;this.usedCrossTileIDs[w.overscaledZ]||(this.usedCrossTileIDs[w.overscaledZ]={});let ee=this.usedCrossTileIDs[w.overscaledZ];for(let le in this.indexes){let qe=this.indexes[le];if(Number(le)>w.overscaledZ)for(let Xe in qe){let ot=qe[Xe];ot.tileID.isChildOf(w)&&ot.findMatches(B.symbolInstances,w,ee)}else{let Xe=qe[w.scaledTo(Number(le)).key];Xe&&Xe.findMatches(B.symbolInstances,w,ee)}}for(let le=0;le<B.symbolInstances.length;le++){let qe=B.symbolInstances.get(le);qe.crossTileID||(qe.crossTileID=Q.generate(),ee[qe.crossTileID]=!0)}return this.indexes[w.overscaledZ]===void 0&&(this.indexes[w.overscaledZ]={}),this.indexes[w.overscaledZ][w.key]=new ma(w,B.symbolInstances,B.bucketInstanceId),!0}removeBucketCrossTileIDs(w,B){for(let Q of B.getCrossTileIDsLists())for(let ee of Q)delete this.usedCrossTileIDs[w][ee]}removeStaleBuckets(w){let B=!1;for(let Q in this.indexes){let ee=this.indexes[Q];for(let le in ee)w[ee[le].bucketInstanceId]||(this.removeBucketCrossTileIDs(Q,ee[le]),delete ee[le],B=!0)}return B}}class Wo{constructor(){this.layerIndexes={},this.crossTileIDs=new Wa,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}}addLayer(w,B,Q){let ee=this.layerIndexes[w.id];ee===void 0&&(ee=this.layerIndexes[w.id]=new Fa);let le=!1,qe={};ee.handleWrapJump(Q);for(let Xe of B){let ot=Xe.getBucket(w);ot&&w.id===ot.layerIds[0]&&(ot.bucketInstanceId||(ot.bucketInstanceId=++this.maxBucketInstanceId),ee.addBucket(Xe.tileID,ot,this.crossTileIDs)&&(le=!0),qe[ot.bucketInstanceId]=!0)}return ee.removeStaleBuckets(qe)&&(le=!0),le}pruneUnusedLayers(w){let B={};w.forEach(Q=>{B[Q]=!0});for(let Q in this.layerIndexes)B[Q]||delete this.layerIndexes[Q]}}let da=(ue,w)=>a.t(ue,w&&w.filter(B=>B.identifier!==\"source.canvas\")),Wn=a.aw();class Ga extends a.E{constructor(w,B={}){super(),this._rtlPluginLoaded=()=>{for(let Q in this.sourceCaches){let ee=this.sourceCaches[Q].getSource().type;ee!==\"vector\"&&ee!==\"geojson\"||this.sourceCaches[Q].reload()}},this.map=w,this.dispatcher=new Le(Se(),w._getMapId()),this.dispatcher.registerMessageHandler(\"GG\",(Q,ee)=>this.getGlyphs(Q,ee)),this.dispatcher.registerMessageHandler(\"GI\",(Q,ee)=>this.getImages(Q,ee)),this.imageManager=new T,this.imageManager.setEventedParent(this),this.glyphManager=new G(w._requestManager,B.localIdeographFontFamily),this.lineAtlas=new oe(256,512),this.crossTileSymbolIndex=new Wo,this._spritesImagesIds={},this._layers={},this._order=[],this.sourceCaches={},this.zoomHistory=new a.ax,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"SR\",a.ay()),er().on(ur,this._rtlPluginLoaded),this.on(\"data\",Q=>{if(Q.dataType!==\"source\"||Q.sourceDataType!==\"metadata\")return;let ee=this.sourceCaches[Q.sourceId];if(!ee)return;let le=ee.getSource();if(le&&le.vectorLayerIds)for(let qe in this._layers){let Xe=this._layers[qe];Xe.source===le.id&&this._validateLayer(Xe)}})}loadURL(w,B={},Q){this.fire(new a.k(\"dataloading\",{dataType:\"style\"})),B.validate=typeof B.validate!=\"boolean\"||B.validate;let ee=this.map._requestManager.transformRequest(w,\"Style\");this._loadStyleRequest=new AbortController;let le=this._loadStyleRequest;a.h(ee,this._loadStyleRequest).then(qe=>{this._loadStyleRequest=null,this._load(qe.data,B,Q)}).catch(qe=>{this._loadStyleRequest=null,qe&&!le.signal.aborted&&this.fire(new a.j(qe))})}loadJSON(w,B={},Q){this.fire(new a.k(\"dataloading\",{dataType:\"style\"})),this._frameRequest=new AbortController,u.frameAsync(this._frameRequest).then(()=>{this._frameRequest=null,B.validate=B.validate!==!1,this._load(w,B,Q)}).catch(()=>{})}loadEmpty(){this.fire(new a.k(\"dataloading\",{dataType:\"style\"})),this._load(Wn,{validate:!1})}_load(w,B,Q){var ee;let le=B.transformStyle?B.transformStyle(Q,w):w;if(!B.validate||!da(this,a.u(le))){this._loaded=!0,this.stylesheet=le;for(let qe in le.sources)this.addSource(qe,le.sources[qe],{validate:!1});le.sprite?this._loadSprite(le.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(le.glyphs),this._createLayers(),this.light=new N(this.stylesheet.light),this.sky=new re(this.stylesheet.sky),this.map.setTerrain((ee=this.stylesheet.terrain)!==null&&ee!==void 0?ee:null),this.fire(new a.k(\"data\",{dataType:\"style\"})),this.fire(new a.k(\"style.load\"))}}_createLayers(){let w=a.az(this.stylesheet.layers);this.dispatcher.broadcast(\"SL\",w),this._order=w.map(B=>B.id),this._layers={},this._serializedLayers=null;for(let B of w){let Q=a.aA(B);Q.setEventedParent(this,{layer:{id:B.id}}),this._layers[B.id]=Q}}_loadSprite(w,B=!1,Q=void 0){let ee;this.imageManager.setLoaded(!1),this._spriteRequest=new AbortController,function(le,qe,Xe,ot){return a._(this,void 0,void 0,function*(){let Tt=k(le),Kt=Xe>1?\"@2x\":\"\",Jt={},xr={};for(let{id:Pr,url:ve}of Tt){let be=qe.transformRequest(M(ve,Kt,\".json\"),\"SpriteJSON\");Jt[Pr]=a.h(be,ot);let Re=qe.transformRequest(M(ve,Kt,\".png\"),\"SpriteImage\");xr[Pr]=p.getImage(Re,ot)}return yield Promise.all([...Object.values(Jt),...Object.values(xr)]),function(Pr,ve){return a._(this,void 0,void 0,function*(){let be={};for(let Re in Pr){be[Re]={};let Be=u.getImageCanvasContext((yield ve[Re]).data),tt=(yield Pr[Re]).data;for(let We in tt){let{width:it,height:Dt,x:Ht,y:rr,sdf:dr,pixelRatio:Sr,stretchX:Or,stretchY:jr,content:ii,textFitWidth:Li,textFitHeight:un}=tt[We];be[Re][We]={data:null,pixelRatio:Sr,sdf:dr,stretchX:Or,stretchY:jr,content:ii,textFitWidth:Li,textFitHeight:un,spriteData:{width:it,height:Dt,x:Ht,y:rr,context:Be}}}}return be})}(Jt,xr)})}(w,this.map._requestManager,this.map.getPixelRatio(),this._spriteRequest).then(le=>{if(this._spriteRequest=null,le)for(let qe in le){this._spritesImagesIds[qe]=[];let Xe=this._spritesImagesIds[qe]?this._spritesImagesIds[qe].filter(ot=>!(ot in le)):[];for(let ot of Xe)this.imageManager.removeImage(ot),this._changedImages[ot]=!0;for(let ot in le[qe]){let Tt=qe===\"default\"?ot:`${qe}:${ot}`;this._spritesImagesIds[qe].push(Tt),Tt in this.imageManager.images?this.imageManager.updateImage(Tt,le[qe][ot],!1):this.imageManager.addImage(Tt,le[qe][ot]),B&&(this._changedImages[Tt]=!0)}}}).catch(le=>{this._spriteRequest=null,ee=le,this.fire(new a.j(ee))}).finally(()=>{this.imageManager.setLoaded(!0),this._availableImages=this.imageManager.listImages(),B&&(this._changed=!0),this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new a.k(\"data\",{dataType:\"style\"})),Q&&Q(ee)})}_unloadSprite(){for(let w of Object.values(this._spritesImagesIds).flat())this.imageManager.removeImage(w),this._changedImages[w]=!0;this._spritesImagesIds={},this._availableImages=this.imageManager.listImages(),this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new a.k(\"data\",{dataType:\"style\"}))}_validateLayer(w){let B=this.sourceCaches[w.source];if(!B)return;let Q=w.sourceLayer;if(!Q)return;let ee=B.getSource();(ee.type===\"geojson\"||ee.vectorLayerIds&&ee.vectorLayerIds.indexOf(Q)===-1)&&this.fire(new a.j(new Error(`Source layer \"${Q}\" does not exist on source \"${ee.id}\" as specified by style layer \"${w.id}\".`)))}loaded(){if(!this._loaded||Object.keys(this._updatedSources).length)return!1;for(let w in this.sourceCaches)if(!this.sourceCaches[w].loaded())return!1;return!!this.imageManager.isLoaded()}_serializeByIds(w,B=!1){let Q=this._serializedAllLayers();if(!w||w.length===0)return Object.values(B?a.aB(Q):Q);let ee=[];for(let le of w)if(Q[le]){let qe=B?a.aB(Q[le]):Q[le];ee.push(qe)}return ee}_serializedAllLayers(){let w=this._serializedLayers;if(w)return w;w=this._serializedLayers={};let B=Object.keys(this._layers);for(let Q of B){let ee=this._layers[Q];ee.type!==\"custom\"&&(w[Q]=ee.serialize())}return w}hasTransitions(){if(this.light&&this.light.hasTransition()||this.sky&&this.sky.hasTransition())return!0;for(let w in this.sourceCaches)if(this.sourceCaches[w].hasTransition())return!0;for(let w in this._layers)if(this._layers[w].hasTransition())return!0;return!1}_checkLoaded(){if(!this._loaded)throw new Error(\"Style is not done loading.\")}update(w){if(!this._loaded)return;let B=this._changed;if(B){let ee=Object.keys(this._updatedLayers),le=Object.keys(this._removedLayers);(ee.length||le.length)&&this._updateWorkerLayers(ee,le);for(let qe in this._updatedSources){let Xe=this._updatedSources[qe];if(Xe===\"reload\")this._reloadSource(qe);else{if(Xe!==\"clear\")throw new Error(`Invalid action ${Xe}`);this._clearSource(qe)}}this._updateTilesForChangedImages(),this._updateTilesForChangedGlyphs();for(let qe in this._updatedPaintProps)this._layers[qe].updateTransitions(w);this.light.updateTransitions(w),this.sky.updateTransitions(w),this._resetUpdates()}let Q={};for(let ee in this.sourceCaches){let le=this.sourceCaches[ee];Q[ee]=le.used,le.used=!1}for(let ee of this._order){let le=this._layers[ee];le.recalculate(w,this._availableImages),!le.isHidden(w.zoom)&&le.source&&(this.sourceCaches[le.source].used=!0)}for(let ee in Q){let le=this.sourceCaches[ee];!!Q[ee]!=!!le.used&&le.fire(new a.k(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:ee}))}this.light.recalculate(w),this.sky.recalculate(w),this.z=w.zoom,B&&this.fire(new a.k(\"data\",{dataType:\"style\"}))}_updateTilesForChangedImages(){let w=Object.keys(this._changedImages);if(w.length){for(let B in this.sourceCaches)this.sourceCaches[B].reloadTilesForDependencies([\"icons\",\"patterns\"],w);this._changedImages={}}}_updateTilesForChangedGlyphs(){if(this._glyphsDidChange){for(let w in this.sourceCaches)this.sourceCaches[w].reloadTilesForDependencies([\"glyphs\"],[\"\"]);this._glyphsDidChange=!1}}_updateWorkerLayers(w,B){this.dispatcher.broadcast(\"UL\",{layers:this._serializeByIds(w,!1),removedIds:B})}_resetUpdates(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={},this._glyphsDidChange=!1}setState(w,B={}){var Q;this._checkLoaded();let ee=this.serialize();if(w=B.transformStyle?B.transformStyle(ee,w):w,((Q=B.validate)===null||Q===void 0||Q)&&da(this,a.u(w)))return!1;(w=a.aB(w)).layers=a.az(w.layers);let le=a.aC(ee,w),qe=this._getOperationsToPerform(le);if(qe.unimplemented.length>0)throw new Error(`Unimplemented: ${qe.unimplemented.join(\", \")}.`);if(qe.operations.length===0)return!1;for(let Xe of qe.operations)Xe();return this.stylesheet=w,this._serializedLayers=null,!0}_getOperationsToPerform(w){let B=[],Q=[];for(let ee of w)switch(ee.command){case\"setCenter\":case\"setZoom\":case\"setBearing\":case\"setPitch\":continue;case\"addLayer\":B.push(()=>this.addLayer.apply(this,ee.args));break;case\"removeLayer\":B.push(()=>this.removeLayer.apply(this,ee.args));break;case\"setPaintProperty\":B.push(()=>this.setPaintProperty.apply(this,ee.args));break;case\"setLayoutProperty\":B.push(()=>this.setLayoutProperty.apply(this,ee.args));break;case\"setFilter\":B.push(()=>this.setFilter.apply(this,ee.args));break;case\"addSource\":B.push(()=>this.addSource.apply(this,ee.args));break;case\"removeSource\":B.push(()=>this.removeSource.apply(this,ee.args));break;case\"setLayerZoomRange\":B.push(()=>this.setLayerZoomRange.apply(this,ee.args));break;case\"setLight\":B.push(()=>this.setLight.apply(this,ee.args));break;case\"setGeoJSONSourceData\":B.push(()=>this.setGeoJSONSourceData.apply(this,ee.args));break;case\"setGlyphs\":B.push(()=>this.setGlyphs.apply(this,ee.args));break;case\"setSprite\":B.push(()=>this.setSprite.apply(this,ee.args));break;case\"setSky\":B.push(()=>this.setSky.apply(this,ee.args));break;case\"setTerrain\":B.push(()=>this.map.setTerrain.apply(this,ee.args));break;case\"setTransition\":B.push(()=>{});break;default:Q.push(ee.command)}return{operations:B,unimplemented:Q}}addImage(w,B){if(this.getImage(w))return this.fire(new a.j(new Error(`An image named \"${w}\" already exists.`)));this.imageManager.addImage(w,B),this._afterImageUpdated(w)}updateImage(w,B){this.imageManager.updateImage(w,B)}getImage(w){return this.imageManager.getImage(w)}removeImage(w){if(!this.getImage(w))return this.fire(new a.j(new Error(`An image named \"${w}\" does not exist.`)));this.imageManager.removeImage(w),this._afterImageUpdated(w)}_afterImageUpdated(w){this._availableImages=this.imageManager.listImages(),this._changedImages[w]=!0,this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new a.k(\"data\",{dataType:\"style\"}))}listImages(){return this._checkLoaded(),this.imageManager.listImages()}addSource(w,B,Q={}){if(this._checkLoaded(),this.sourceCaches[w]!==void 0)throw new Error(`Source \"${w}\" already exists.`);if(!B.type)throw new Error(`The type property must be defined, but only the following properties were given: ${Object.keys(B).join(\", \")}.`);if([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(B.type)>=0&&this._validate(a.u.source,`sources.${w}`,B,null,Q))return;this.map&&this.map._collectResourceTiming&&(B.collectResourceTiming=!0);let ee=this.sourceCaches[w]=new yt(w,B,this.dispatcher);ee.style=this,ee.setEventedParent(this,()=>({isSourceLoaded:ee.loaded(),source:ee.serialize(),sourceId:w})),ee.onAdd(this.map),this._changed=!0}removeSource(w){if(this._checkLoaded(),this.sourceCaches[w]===void 0)throw new Error(\"There is no source with this ID\");for(let Q in this._layers)if(this._layers[Q].source===w)return this.fire(new a.j(new Error(`Source \"${w}\" cannot be removed while layer \"${Q}\" is using it.`)));let B=this.sourceCaches[w];delete this.sourceCaches[w],delete this._updatedSources[w],B.fire(new a.k(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:w})),B.setEventedParent(null),B.onRemove(this.map),this._changed=!0}setGeoJSONSourceData(w,B){if(this._checkLoaded(),this.sourceCaches[w]===void 0)throw new Error(`There is no source with this ID=${w}`);let Q=this.sourceCaches[w].getSource();if(Q.type!==\"geojson\")throw new Error(`geojsonSource.type is ${Q.type}, which is !== 'geojson`);Q.setData(B),this._changed=!0}getSource(w){return this.sourceCaches[w]&&this.sourceCaches[w].getSource()}addLayer(w,B,Q={}){this._checkLoaded();let ee=w.id;if(this.getLayer(ee))return void this.fire(new a.j(new Error(`Layer \"${ee}\" already exists on this map.`)));let le;if(w.type===\"custom\"){if(da(this,a.aD(w)))return;le=a.aA(w)}else{if(\"source\"in w&&typeof w.source==\"object\"&&(this.addSource(ee,w.source),w=a.aB(w),w=a.e(w,{source:ee})),this._validate(a.u.layer,`layers.${ee}`,w,{arrayIndex:-1},Q))return;le=a.aA(w),this._validateLayer(le),le.setEventedParent(this,{layer:{id:ee}})}let qe=B?this._order.indexOf(B):this._order.length;if(B&&qe===-1)this.fire(new a.j(new Error(`Cannot add layer \"${ee}\" before non-existing layer \"${B}\".`)));else{if(this._order.splice(qe,0,ee),this._layerOrderChanged=!0,this._layers[ee]=le,this._removedLayers[ee]&&le.source&&le.type!==\"custom\"){let Xe=this._removedLayers[ee];delete this._removedLayers[ee],Xe.type!==le.type?this._updatedSources[le.source]=\"clear\":(this._updatedSources[le.source]=\"reload\",this.sourceCaches[le.source].pause())}this._updateLayer(le),le.onAdd&&le.onAdd(this.map)}}moveLayer(w,B){if(this._checkLoaded(),this._changed=!0,!this._layers[w])return void this.fire(new a.j(new Error(`The layer '${w}' does not exist in the map's style and cannot be moved.`)));if(w===B)return;let Q=this._order.indexOf(w);this._order.splice(Q,1);let ee=B?this._order.indexOf(B):this._order.length;B&&ee===-1?this.fire(new a.j(new Error(`Cannot move layer \"${w}\" before non-existing layer \"${B}\".`))):(this._order.splice(ee,0,w),this._layerOrderChanged=!0)}removeLayer(w){this._checkLoaded();let B=this._layers[w];if(!B)return void this.fire(new a.j(new Error(`Cannot remove non-existing layer \"${w}\".`)));B.setEventedParent(null);let Q=this._order.indexOf(w);this._order.splice(Q,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[w]=B,delete this._layers[w],this._serializedLayers&&delete this._serializedLayers[w],delete this._updatedLayers[w],delete this._updatedPaintProps[w],B.onRemove&&B.onRemove(this.map)}getLayer(w){return this._layers[w]}getLayersOrder(){return[...this._order]}hasLayer(w){return w in this._layers}setLayerZoomRange(w,B,Q){this._checkLoaded();let ee=this.getLayer(w);ee?ee.minzoom===B&&ee.maxzoom===Q||(B!=null&&(ee.minzoom=B),Q!=null&&(ee.maxzoom=Q),this._updateLayer(ee)):this.fire(new a.j(new Error(`Cannot set the zoom range of non-existing layer \"${w}\".`)))}setFilter(w,B,Q={}){this._checkLoaded();let ee=this.getLayer(w);if(ee){if(!a.aE(ee.filter,B))return B==null?(ee.filter=void 0,void this._updateLayer(ee)):void(this._validate(a.u.filter,`layers.${ee.id}.filter`,B,null,Q)||(ee.filter=a.aB(B),this._updateLayer(ee)))}else this.fire(new a.j(new Error(`Cannot filter non-existing layer \"${w}\".`)))}getFilter(w){return a.aB(this.getLayer(w).filter)}setLayoutProperty(w,B,Q,ee={}){this._checkLoaded();let le=this.getLayer(w);le?a.aE(le.getLayoutProperty(B),Q)||(le.setLayoutProperty(B,Q,ee),this._updateLayer(le)):this.fire(new a.j(new Error(`Cannot style non-existing layer \"${w}\".`)))}getLayoutProperty(w,B){let Q=this.getLayer(w);if(Q)return Q.getLayoutProperty(B);this.fire(new a.j(new Error(`Cannot get style of non-existing layer \"${w}\".`)))}setPaintProperty(w,B,Q,ee={}){this._checkLoaded();let le=this.getLayer(w);le?a.aE(le.getPaintProperty(B),Q)||(le.setPaintProperty(B,Q,ee)&&this._updateLayer(le),this._changed=!0,this._updatedPaintProps[w]=!0,this._serializedLayers=null):this.fire(new a.j(new Error(`Cannot style non-existing layer \"${w}\".`)))}getPaintProperty(w,B){return this.getLayer(w).getPaintProperty(B)}setFeatureState(w,B){this._checkLoaded();let Q=w.source,ee=w.sourceLayer,le=this.sourceCaches[Q];if(le===void 0)return void this.fire(new a.j(new Error(`The source '${Q}' does not exist in the map's style.`)));let qe=le.getSource().type;qe===\"geojson\"&&ee?this.fire(new a.j(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):qe!==\"vector\"||ee?(w.id===void 0&&this.fire(new a.j(new Error(\"The feature id parameter must be provided.\"))),le.setFeatureState(ee,w.id,B)):this.fire(new a.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}removeFeatureState(w,B){this._checkLoaded();let Q=w.source,ee=this.sourceCaches[Q];if(ee===void 0)return void this.fire(new a.j(new Error(`The source '${Q}' does not exist in the map's style.`)));let le=ee.getSource().type,qe=le===\"vector\"?w.sourceLayer:void 0;le!==\"vector\"||qe?B&&typeof w.id!=\"string\"&&typeof w.id!=\"number\"?this.fire(new a.j(new Error(\"A feature id is required to remove its specific state property.\"))):ee.removeFeatureState(qe,w.id,B):this.fire(new a.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}getFeatureState(w){this._checkLoaded();let B=w.source,Q=w.sourceLayer,ee=this.sourceCaches[B];if(ee!==void 0)return ee.getSource().type!==\"vector\"||Q?(w.id===void 0&&this.fire(new a.j(new Error(\"The feature id parameter must be provided.\"))),ee.getFeatureState(Q,w.id)):void this.fire(new a.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));this.fire(new a.j(new Error(`The source '${B}' does not exist in the map's style.`)))}getTransition(){return a.e({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)}serialize(){if(!this._loaded)return;let w=a.aF(this.sourceCaches,le=>le.serialize()),B=this._serializeByIds(this._order,!0),Q=this.map.getTerrain()||void 0,ee=this.stylesheet;return a.aG({version:ee.version,name:ee.name,metadata:ee.metadata,light:ee.light,sky:ee.sky,center:ee.center,zoom:ee.zoom,bearing:ee.bearing,pitch:ee.pitch,sprite:ee.sprite,glyphs:ee.glyphs,transition:ee.transition,sources:w,layers:B,terrain:Q},le=>le!==void 0)}_updateLayer(w){this._updatedLayers[w.id]=!0,w.source&&!this._updatedSources[w.source]&&this.sourceCaches[w.source].getSource().type!==\"raster\"&&(this._updatedSources[w.source]=\"reload\",this.sourceCaches[w.source].pause()),this._serializedLayers=null,this._changed=!0}_flattenAndSortRenderedFeatures(w){let B=qe=>this._layers[qe].type===\"fill-extrusion\",Q={},ee=[];for(let qe=this._order.length-1;qe>=0;qe--){let Xe=this._order[qe];if(B(Xe)){Q[Xe]=qe;for(let ot of w){let Tt=ot[Xe];if(Tt)for(let Kt of Tt)ee.push(Kt)}}}ee.sort((qe,Xe)=>Xe.intersectionZ-qe.intersectionZ);let le=[];for(let qe=this._order.length-1;qe>=0;qe--){let Xe=this._order[qe];if(B(Xe))for(let ot=ee.length-1;ot>=0;ot--){let Tt=ee[ot].feature;if(Q[Tt.layer.id]<qe)break;le.push(Tt),ee.pop()}else for(let ot of w){let Tt=ot[Xe];if(Tt)for(let Kt of Tt)le.push(Kt.feature)}}return le}queryRenderedFeatures(w,B,Q){B&&B.filter&&this._validate(a.u.filter,\"queryRenderedFeatures.filter\",B.filter,null,B);let ee={};if(B&&B.layers){if(!Array.isArray(B.layers))return this.fire(new a.j(new Error(\"parameters.layers must be an Array.\"))),[];for(let Xe of B.layers){let ot=this._layers[Xe];if(!ot)return this.fire(new a.j(new Error(`The layer '${Xe}' does not exist in the map's style and cannot be queried for features.`))),[];ee[ot.source]=!0}}let le=[];B.availableImages=this._availableImages;let qe=this._serializedAllLayers();for(let Xe in this.sourceCaches)B.layers&&!ee[Xe]||le.push(Pe(this.sourceCaches[Xe],this._layers,qe,w,B,Q));return this.placement&&le.push(function(Xe,ot,Tt,Kt,Jt,xr,Pr){let ve={},be=xr.queryRenderedSymbols(Kt),Re=[];for(let Be of Object.keys(be).map(Number))Re.push(Pr[Be]);Re.sort(ge);for(let Be of Re){let tt=Be.featureIndex.lookupSymbolFeatures(be[Be.bucketInstanceId],ot,Be.bucketIndex,Be.sourceLayerIndex,Jt.filter,Jt.layers,Jt.availableImages,Xe);for(let We in tt){let it=ve[We]=ve[We]||[],Dt=tt[We];Dt.sort((Ht,rr)=>{let dr=Be.featureSortOrder;if(dr){let Sr=dr.indexOf(Ht.featureIndex);return dr.indexOf(rr.featureIndex)-Sr}return rr.featureIndex-Ht.featureIndex});for(let Ht of Dt)it.push(Ht)}}for(let Be in ve)ve[Be].forEach(tt=>{let We=tt.feature,it=Tt[Xe[Be].source].getFeatureState(We.layer[\"source-layer\"],We.id);We.source=We.layer.source,We.layer[\"source-layer\"]&&(We.sourceLayer=We.layer[\"source-layer\"]),We.state=it});return ve}(this._layers,qe,this.sourceCaches,w,B,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(le)}querySourceFeatures(w,B){B&&B.filter&&this._validate(a.u.filter,\"querySourceFeatures.filter\",B.filter,null,B);let Q=this.sourceCaches[w];return Q?function(ee,le){let qe=ee.getRenderableIds().map(Tt=>ee.getTileByID(Tt)),Xe=[],ot={};for(let Tt=0;Tt<qe.length;Tt++){let Kt=qe[Tt],Jt=Kt.tileID.canonical.key;ot[Jt]||(ot[Jt]=!0,Kt.querySourceFeatures(Xe,le))}return Xe}(Q,B):[]}getLight(){return this.light.getLight()}setLight(w,B={}){this._checkLoaded();let Q=this.light.getLight(),ee=!1;for(let qe in w)if(!a.aE(w[qe],Q[qe])){ee=!0;break}if(!ee)return;let le={now:u.now(),transition:a.e({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(w,B),this.light.updateTransitions(le)}getSky(){var w;return(w=this.stylesheet)===null||w===void 0?void 0:w.sky}setSky(w,B={}){let Q=this.getSky(),ee=!1;if(!w&&!Q)return;if(w&&!Q)ee=!0;else if(!w&&Q)ee=!0;else for(let qe in w)if(!a.aE(w[qe],Q[qe])){ee=!0;break}if(!ee)return;let le={now:u.now(),transition:a.e({duration:300,delay:0},this.stylesheet.transition)};this.stylesheet.sky=w,this.sky.setSky(w,B),this.sky.updateTransitions(le)}_validate(w,B,Q,ee,le={}){return(!le||le.validate!==!1)&&da(this,w.call(a.u,a.e({key:B,style:this.serialize(),value:Q,styleSpec:a.v},ee)))}_remove(w=!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),er().off(ur,this._rtlPluginLoaded);for(let B in this._layers)this._layers[B].setEventedParent(null);for(let B in this.sourceCaches){let Q=this.sourceCaches[B];Q.setEventedParent(null),Q.onRemove(this.map)}this.imageManager.setEventedParent(null),this.setEventedParent(null),w&&this.dispatcher.broadcast(\"RM\",void 0),this.dispatcher.remove(w)}_clearSource(w){this.sourceCaches[w].clearTiles()}_reloadSource(w){this.sourceCaches[w].resume(),this.sourceCaches[w].reload()}_updateSources(w){for(let B in this.sourceCaches)this.sourceCaches[B].update(w,this.map.terrain)}_generateCollisionBoxes(){for(let w in this.sourceCaches)this._reloadSource(w)}_updatePlacement(w,B,Q,ee,le=!1){let qe=!1,Xe=!1,ot={};for(let Tt of this._order){let Kt=this._layers[Tt];if(Kt.type!==\"symbol\")continue;if(!ot[Kt.source]){let xr=this.sourceCaches[Kt.source];ot[Kt.source]=xr.getRenderableIds(!0).map(Pr=>xr.getTileByID(Pr)).sort((Pr,ve)=>ve.tileID.overscaledZ-Pr.tileID.overscaledZ||(Pr.tileID.isLessThan(ve.tileID)?-1:1))}let Jt=this.crossTileSymbolIndex.addLayer(Kt,ot[Kt.source],w.center.lng);qe=qe||Jt}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((le=le||this._layerOrderChanged||Q===0)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(u.now(),w.zoom))&&(this.pauseablePlacement=new Ba(w,this.map.terrain,this._order,le,B,Q,ee,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,ot),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(u.now()),Xe=!0),qe&&this.pauseablePlacement.placement.setStale()),Xe||qe)for(let Tt of this._order){let Kt=this._layers[Tt];Kt.type===\"symbol\"&&this.placement.updateLayerOpacities(Kt,ot[Kt.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(u.now())}_releaseSymbolFadeTiles(){for(let w in this.sourceCaches)this.sourceCaches[w].releaseSymbolFadeTiles()}getImages(w,B){return a._(this,void 0,void 0,function*(){let Q=yield this.imageManager.getImages(B.icons);this._updateTilesForChangedImages();let ee=this.sourceCaches[B.source];return ee&&ee.setDependencies(B.tileID.key,B.type,B.icons),Q})}getGlyphs(w,B){return a._(this,void 0,void 0,function*(){let Q=yield this.glyphManager.getGlyphs(B.stacks),ee=this.sourceCaches[B.source];return ee&&ee.setDependencies(B.tileID.key,B.type,[\"\"]),Q})}getGlyphsUrl(){return this.stylesheet.glyphs||null}setGlyphs(w,B={}){this._checkLoaded(),w&&this._validate(a.u.glyphs,\"glyphs\",w,null,B)||(this._glyphsDidChange=!0,this.stylesheet.glyphs=w,this.glyphManager.entries={},this.glyphManager.setURL(w))}addSprite(w,B,Q={},ee){this._checkLoaded();let le=[{id:w,url:B}],qe=[...k(this.stylesheet.sprite),...le];this._validate(a.u.sprite,\"sprite\",qe,null,Q)||(this.stylesheet.sprite=qe,this._loadSprite(le,!0,ee))}removeSprite(w){this._checkLoaded();let B=k(this.stylesheet.sprite);if(B.find(Q=>Q.id===w)){if(this._spritesImagesIds[w])for(let Q of this._spritesImagesIds[w])this.imageManager.removeImage(Q),this._changedImages[Q]=!0;B.splice(B.findIndex(Q=>Q.id===w),1),this.stylesheet.sprite=B.length>0?B:void 0,delete this._spritesImagesIds[w],this._availableImages=this.imageManager.listImages(),this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new a.k(\"data\",{dataType:\"style\"}))}else this.fire(new a.j(new Error(`Sprite \"${w}\" doesn't exists on this map.`)))}getSprite(){return k(this.stylesheet.sprite)}setSprite(w,B={},Q){this._checkLoaded(),w&&this._validate(a.u.sprite,\"sprite\",w,null,B)||(this.stylesheet.sprite=w,w?this._loadSprite(w,!0,Q):(this._unloadSprite(),Q&&Q(null)))}}var vo=a.Y([{name:\"a_pos\",type:\"Int16\",components:2}]);let jn={prelude:St(`#ifdef GL_ES\n",
       "precision 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\n",
       "precision 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\n",
       "vec2 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\n",
       "uniform 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\n",
       "const 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\n",
       "highp 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\n",
       "return 1.0;\n",
       "#endif\n",
       "}float calculate_visibility(vec4 pos) {\n",
       "#ifdef TERRAIN3D\n",
       "vec3 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\n",
       "return 1.0;\n",
       "#endif\n",
       "}float ele(vec2 pos) {\n",
       "#ifdef TERRAIN3D\n",
       "vec4 rgb=(texture2D(u_terrain,pos)*255.0)*u_terrain_unpack;return rgb.r+rgb.g+rgb.b-u_terrain_unpack.a;\n",
       "#else\n",
       "return 0.0;\n",
       "#endif\n",
       "}float get_elevation(vec2 pos) {\n",
       "#ifdef TERRAIN3D\n",
       "vec2 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\n",
       "return 0.0;\n",
       "#endif\n",
       "}`),background:St(`uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\n",
       "#ifdef OVERDRAW_INSPECTOR\n",
       "gl_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:St(`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\n",
       "gl_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:St(`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\n",
       "void main() {\n",
       "#pragma mapbox: initialize highp vec4 color\n",
       "#pragma mapbox: initialize mediump float radius\n",
       "#pragma mapbox: initialize lowp float blur\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "#pragma mapbox: initialize highp vec4 stroke_color\n",
       "#pragma mapbox: initialize mediump float stroke_width\n",
       "#pragma mapbox: initialize lowp float stroke_opacity\n",
       "vec2 extrude=v_data.xy;float extrude_length=length(extrude);float antialiased_blur=v_data.z;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\n",
       "gl_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\n",
       "void main(void) {\n",
       "#pragma mapbox: initialize highp vec4 color\n",
       "#pragma mapbox: initialize mediump float radius\n",
       "#pragma mapbox: initialize lowp float blur\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "#pragma mapbox: initialize highp vec4 stroke_color\n",
       "#pragma mapbox: initialize mediump float stroke_width\n",
       "#pragma mapbox: initialize lowp float stroke_opacity\n",
       "vec2 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;}}float antialiasblur=-max(1.0/u_device_pixel_ratio/(radius+stroke_width),blur);v_data=vec3(extrude.x,extrude.y,antialiasblur);}`),clippingMask:St(\"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:St(`uniform highp float u_intensity;varying vec2 v_extrude;\n",
       "#pragma mapbox: define highp float weight\n",
       "#define GAUSS_COEF 0.3989422804014327\n",
       "void main() {\n",
       "#pragma mapbox: initialize highp float weight\n",
       "float 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\n",
       "gl_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\n",
       "const highp float ZERO=1.0/255.0/16.0;\n",
       "#define GAUSS_COEF 0.3989422804014327\n",
       "void main(void) {\n",
       "#pragma mapbox: initialize highp float weight\n",
       "#pragma mapbox: initialize mediump float radius\n",
       "vec2 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,get_elevation(floor(a_pos*0.5)),1);gl_Position=u_matrix*pos;}`),heatmapTexture:St(`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\n",
       "gl_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:St(\"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:St(\"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:St(\"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:St(`#pragma mapbox: define highp vec4 color\n",
       "#pragma mapbox: define lowp float opacity\n",
       "void main() {\n",
       "#pragma mapbox: initialize highp vec4 color\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "gl_FragColor=color*opacity;\n",
       "#ifdef OVERDRAW_INSPECTOR\n",
       "gl_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\n",
       "void main() {\n",
       "#pragma mapbox: initialize highp vec4 color\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "gl_Position=u_matrix*vec4(a_pos,0,1);}`),fillOutline:St(`varying vec2 v_pos;\n",
       "#pragma mapbox: define highp vec4 outline_color\n",
       "#pragma mapbox: define lowp float opacity\n",
       "void main() {\n",
       "#pragma mapbox: initialize highp vec4 outline_color\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "float 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\n",
       "gl_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\n",
       "void main() {\n",
       "#pragma mapbox: initialize highp vec4 outline_color\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}`),fillOutlinePattern:St(`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\n",
       "void 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",
       "vec2 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\n",
       "gl_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\n",
       "void 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\n",
       "vec2 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:St(`#ifdef GL_ES\n",
       "precision highp float;\n",
       "#endif\n",
       "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\n",
       "void 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",
       "vec2 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\n",
       "gl_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\n",
       "void 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\n",
       "vec2 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:St(`varying vec4 v_color;void main() {gl_FragColor=v_color;\n",
       "#ifdef OVERDRAW_INSPECTOR\n",
       "gl_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\n",
       "attribute vec2 a_centroid;\n",
       "#endif\n",
       "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\n",
       "void main() {\n",
       "#pragma mapbox: initialize highp float base\n",
       "#pragma mapbox: initialize highp float height\n",
       "#pragma mapbox: initialize highp vec4 color\n",
       "vec3 normal=a_normal_ed.xyz;\n",
       "#ifdef TERRAIN3D\n",
       "float height_terrain3d_offset=get_elevation(a_centroid);float base_terrain3d_offset=height_terrain3d_offset-(base > 0.0 ? 0.0 : 10.0);\n",
       "#else\n",
       "float height_terrain3d_offset=0.0;float base_terrain3d_offset=0.0;\n",
       "#endif\n",
       "base=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:St(`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\n",
       "void 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\n",
       "vec2 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\n",
       "gl_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\n",
       "attribute vec2 a_centroid;\n",
       "#endif\n",
       "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\n",
       "void 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\n",
       "vec2 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\n",
       "float height_terrain3d_offset=get_elevation(a_centroid);float base_terrain3d_offset=height_terrain3d_offset-(base > 0.0 ? 0.0 : 10.0);\n",
       "#else\n",
       "float height_terrain3d_offset=0.0;float base_terrain3d_offset=0.0;\n",
       "#endif\n",
       "base=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:St(`#ifdef GL_ES\n",
       "precision highp float;\n",
       "#endif\n",
       "uniform 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\n",
       "gl_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:St(`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\n",
       "void 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\n",
       "gl_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:St(`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\n",
       "void main() {\n",
       "#pragma mapbox: initialize highp vec4 color\n",
       "#pragma mapbox: initialize lowp float blur\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "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);gl_FragColor=color*(alpha*opacity);\n",
       "#ifdef OVERDRAW_INSPECTOR\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,`\n",
       "#define scale 0.015873016\n",
       "attribute 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\n",
       "void 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",
       "float 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\n",
       "v_gamma_scale=1.0;\n",
       "#else\n",
       "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;\n",
       "#endif\n",
       "v_width2=vec2(outset,inset);}`),lineGradient:St(`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\n",
       "void main() {\n",
       "#pragma mapbox: initialize lowp float blur\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "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);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\n",
       "#ifdef OVERDRAW_INSPECTOR\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,`\n",
       "#define scale 0.015873016\n",
       "attribute 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\n",
       "void main() {\n",
       "#pragma mapbox: initialize lowp float blur\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "#pragma mapbox: initialize mediump float gapwidth\n",
       "#pragma mapbox: initialize lowp float offset\n",
       "#pragma mapbox: initialize mediump float width\n",
       "float 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\n",
       "v_gamma_scale=1.0;\n",
       "#else\n",
       "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;\n",
       "#endif\n",
       "v_width2=vec2(outset,inset);}`),linePattern:St(`#ifdef GL_ES\n",
       "precision highp float;\n",
       "#endif\n",
       "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\n",
       "void 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\n",
       "vec2 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\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,`\n",
       "#define scale 0.015873016\n",
       "#define LINE_DISTANCE_SCALE 2.0\n",
       "attribute 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\n",
       "void 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\n",
       "float 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\n",
       "v_gamma_scale=1.0;\n",
       "#else\n",
       "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;\n",
       "#endif\n",
       "v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}`),lineSDF:St(`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\n",
       "void main() {\n",
       "#pragma mapbox: initialize highp vec4 color\n",
       "#pragma mapbox: initialize lowp float blur\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "#pragma mapbox: initialize mediump float width\n",
       "#pragma mapbox: initialize lowp float floorwidth\n",
       "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 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\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "}`,`\n",
       "#define scale 0.015873016\n",
       "#define LINE_DISTANCE_SCALE 2.0\n",
       "attribute 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\n",
       "void main() {\n",
       "#pragma mapbox: initialize highp vec4 color\n",
       "#pragma mapbox: initialize lowp float blur\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "#pragma mapbox: initialize mediump float gapwidth\n",
       "#pragma mapbox: initialize lowp float offset\n",
       "#pragma mapbox: initialize mediump float width\n",
       "#pragma mapbox: initialize lowp float floorwidth\n",
       "float 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\n",
       "v_gamma_scale=1.0;\n",
       "#else\n",
       "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;\n",
       "#endif\n",
       "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);}`),raster:St(`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\n",
       "gl_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:St(`uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n",
       "#pragma mapbox: define lowp float opacity\n",
       "void main() {\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "lowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n",
       "#ifdef OVERDRAW_INSPECTOR\n",
       "gl_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\n",
       "void main() {\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "vec2 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 ?\n",
       "camera_to_anchor_distance/u_camera_to_center_distance :\n",
       "u_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:St(`#define SDF_PX 8.0\n",
       "uniform 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\n",
       "void main() {\n",
       "#pragma mapbox: initialize highp vec4 fill_color\n",
       "#pragma mapbox: initialize highp vec4 halo_color\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "#pragma mapbox: initialize lowp float halo_width\n",
       "#pragma mapbox: initialize lowp float halo_blur\n",
       "float 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\n",
       "gl_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\n",
       "void main() {\n",
       "#pragma mapbox: initialize highp vec4 fill_color\n",
       "#pragma mapbox: initialize highp vec4 halo_color\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "#pragma mapbox: initialize lowp float halo_width\n",
       "#pragma mapbox: initialize lowp float halo_blur\n",
       "vec2 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 ?\n",
       "camera_to_anchor_distance/u_camera_to_center_distance :\n",
       "u_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:St(`#define SDF_PX 8.0\n",
       "#define SDF 1.0\n",
       "#define ICON 0.0\n",
       "uniform 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\n",
       "void main() {\n",
       "#pragma mapbox: initialize highp vec4 fill_color\n",
       "#pragma mapbox: initialize highp vec4 halo_color\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "#pragma mapbox: initialize lowp float halo_width\n",
       "#pragma mapbox: initialize lowp float halo_blur\n",
       "float 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\n",
       "gl_FragColor=vec4(1.0);\n",
       "#endif\n",
       "return;}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\n",
       "gl_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\n",
       "void main() {\n",
       "#pragma mapbox: initialize highp vec4 fill_color\n",
       "#pragma mapbox: initialize highp vec4 halo_color\n",
       "#pragma mapbox: initialize lowp float opacity\n",
       "#pragma mapbox: initialize lowp float halo_width\n",
       "#pragma mapbox: initialize lowp float halo_blur\n",
       "vec2 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 ?\n",
       "camera_to_anchor_distance/u_camera_to_center_distance :\n",
       "u_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:St(\"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:St(\"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:St(\"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:St(\"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 St(ue,w){let B=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,Q=w.match(/attribute ([\\w]+) ([\\w]+)/g),ee=ue.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),le=w.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),qe=le?le.concat(ee):ee,Xe={};return{fragmentSource:ue=ue.replace(B,(ot,Tt,Kt,Jt,xr)=>(Xe[xr]=!0,Tt===\"define\"?`\n",
       "#ifndef HAS_UNIFORM_u_${xr}\n",
       "varying ${Kt} ${Jt} ${xr};\n",
       "#else\n",
       "uniform ${Kt} ${Jt} u_${xr};\n",
       "#endif\n",
       "`:`\n",
       "#ifdef HAS_UNIFORM_u_${xr}\n",
       "    ${Kt} ${Jt} ${xr} = u_${xr};\n",
       "#endif\n",
       "`)),vertexSource:w=w.replace(B,(ot,Tt,Kt,Jt,xr)=>{let Pr=Jt===\"float\"?\"vec2\":\"vec4\",ve=xr.match(/color/)?\"color\":Pr;return Xe[xr]?Tt===\"define\"?`\n",
       "#ifndef HAS_UNIFORM_u_${xr}\n",
       "uniform lowp float u_${xr}_t;\n",
       "attribute ${Kt} ${Pr} a_${xr};\n",
       "varying ${Kt} ${Jt} ${xr};\n",
       "#else\n",
       "uniform ${Kt} ${Jt} u_${xr};\n",
       "#endif\n",
       "`:ve===\"vec4\"?`\n",
       "#ifndef HAS_UNIFORM_u_${xr}\n",
       "    ${xr} = a_${xr};\n",
       "#else\n",
       "    ${Kt} ${Jt} ${xr} = u_${xr};\n",
       "#endif\n",
       "`:`\n",
       "#ifndef HAS_UNIFORM_u_${xr}\n",
       "    ${xr} = unpack_mix_${ve}(a_${xr}, u_${xr}_t);\n",
       "#else\n",
       "    ${Kt} ${Jt} ${xr} = u_${xr};\n",
       "#endif\n",
       "`:Tt===\"define\"?`\n",
       "#ifndef HAS_UNIFORM_u_${xr}\n",
       "uniform lowp float u_${xr}_t;\n",
       "attribute ${Kt} ${Pr} a_${xr};\n",
       "#else\n",
       "uniform ${Kt} ${Jt} u_${xr};\n",
       "#endif\n",
       "`:ve===\"vec4\"?`\n",
       "#ifndef HAS_UNIFORM_u_${xr}\n",
       "    ${Kt} ${Jt} ${xr} = a_${xr};\n",
       "#else\n",
       "    ${Kt} ${Jt} ${xr} = u_${xr};\n",
       "#endif\n",
       "`:`\n",
       "#ifndef HAS_UNIFORM_u_${xr}\n",
       "    ${Kt} ${Jt} ${xr} = unpack_mix_${ve}(a_${xr}, u_${xr}_t);\n",
       "#else\n",
       "    ${Kt} ${Jt} ${xr} = u_${xr};\n",
       "#endif\n",
       "`}),staticAttributes:Q,staticUniforms:qe}}class Cr{constructor(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null}bind(w,B,Q,ee,le,qe,Xe,ot,Tt){this.context=w;let Kt=this.boundPaintVertexBuffers.length!==ee.length;for(let Jt=0;!Kt&&Jt<ee.length;Jt++)this.boundPaintVertexBuffers[Jt]!==ee[Jt]&&(Kt=!0);!this.vao||this.boundProgram!==B||this.boundLayoutVertexBuffer!==Q||Kt||this.boundIndexBuffer!==le||this.boundVertexOffset!==qe||this.boundDynamicVertexBuffer!==Xe||this.boundDynamicVertexBuffer2!==ot||this.boundDynamicVertexBuffer3!==Tt?this.freshBind(B,Q,ee,le,qe,Xe,ot,Tt):(w.bindVertexArray.set(this.vao),Xe&&Xe.bind(),le&&le.dynamicDraw&&le.bind(),ot&&ot.bind(),Tt&&Tt.bind())}freshBind(w,B,Q,ee,le,qe,Xe,ot){let Tt=w.numAttributes,Kt=this.context,Jt=Kt.gl;this.vao&&this.destroy(),this.vao=Kt.createVertexArray(),Kt.bindVertexArray.set(this.vao),this.boundProgram=w,this.boundLayoutVertexBuffer=B,this.boundPaintVertexBuffers=Q,this.boundIndexBuffer=ee,this.boundVertexOffset=le,this.boundDynamicVertexBuffer=qe,this.boundDynamicVertexBuffer2=Xe,this.boundDynamicVertexBuffer3=ot,B.enableAttributes(Jt,w);for(let xr of Q)xr.enableAttributes(Jt,w);qe&&qe.enableAttributes(Jt,w),Xe&&Xe.enableAttributes(Jt,w),ot&&ot.enableAttributes(Jt,w),B.bind(),B.setVertexAttribPointers(Jt,w,le);for(let xr of Q)xr.bind(),xr.setVertexAttribPointers(Jt,w,le);qe&&(qe.bind(),qe.setVertexAttribPointers(Jt,w,le)),ee&&ee.bind(),Xe&&(Xe.bind(),Xe.setVertexAttribPointers(Jt,w,le)),ot&&(ot.bind(),ot.setVertexAttribPointers(Jt,w,le)),Kt.currentNumAttributes=Tt}destroy(){this.vao&&(this.context.deleteVertexArray(this.vao),this.vao=null)}}let Qr=(ue,w,B,Q,ee)=>({u_matrix:ue,u_texture:0,u_ele_delta:w,u_fog_matrix:B,u_fog_color:Q?Q.properties.get(\"fog-color\"):a.aM.white,u_fog_ground_blend:Q?Q.properties.get(\"fog-ground-blend\"):1,u_fog_ground_blend_opacity:Q?Q.calculateFogBlendOpacity(ee):0,u_horizon_color:Q?Q.properties.get(\"horizon-color\"):a.aM.white,u_horizon_fog_blend:Q?Q.properties.get(\"horizon-fog-blend\"):1});function pi(ue){let w=[];for(let B=0;B<ue.length;B++){if(ue[B]===null)continue;let Q=ue[B].split(\" \");w.push(Q.pop())}return w}class fn{constructor(w,B,Q,ee,le,qe){let Xe=w.gl;this.program=Xe.createProgram();let ot=pi(B.staticAttributes),Tt=Q?Q.getBinderAttributes():[],Kt=ot.concat(Tt),Jt=jn.prelude.staticUniforms?pi(jn.prelude.staticUniforms):[],xr=B.staticUniforms?pi(B.staticUniforms):[],Pr=Q?Q.getBinderUniforms():[],ve=Jt.concat(xr).concat(Pr),be=[];for(let Ht of ve)be.indexOf(Ht)<0&&be.push(Ht);let Re=Q?Q.defines():[];le&&Re.push(\"#define OVERDRAW_INSPECTOR;\"),qe&&Re.push(\"#define TERRAIN3D;\");let Be=Re.concat(jn.prelude.fragmentSource,B.fragmentSource).join(`\n",
       "`),tt=Re.concat(jn.prelude.vertexSource,B.vertexSource).join(`\n",
       "`),We=Xe.createShader(Xe.FRAGMENT_SHADER);if(Xe.isContextLost())return void(this.failedToCreate=!0);if(Xe.shaderSource(We,Be),Xe.compileShader(We),!Xe.getShaderParameter(We,Xe.COMPILE_STATUS))throw new Error(`Could not compile fragment shader: ${Xe.getShaderInfoLog(We)}`);Xe.attachShader(this.program,We);let it=Xe.createShader(Xe.VERTEX_SHADER);if(Xe.isContextLost())return void(this.failedToCreate=!0);if(Xe.shaderSource(it,tt),Xe.compileShader(it),!Xe.getShaderParameter(it,Xe.COMPILE_STATUS))throw new Error(`Could not compile vertex shader: ${Xe.getShaderInfoLog(it)}`);Xe.attachShader(this.program,it),this.attributes={};let Dt={};this.numAttributes=Kt.length;for(let Ht=0;Ht<this.numAttributes;Ht++)Kt[Ht]&&(Xe.bindAttribLocation(this.program,Ht,Kt[Ht]),this.attributes[Kt[Ht]]=Ht);if(Xe.linkProgram(this.program),!Xe.getProgramParameter(this.program,Xe.LINK_STATUS))throw new Error(`Program failed to link: ${Xe.getProgramInfoLog(this.program)}`);Xe.deleteShader(it),Xe.deleteShader(We);for(let Ht=0;Ht<be.length;Ht++){let rr=be[Ht];if(rr&&!Dt[rr]){let dr=Xe.getUniformLocation(this.program,rr);dr&&(Dt[rr]=dr)}}this.fixedUniforms=ee(w,Dt),this.terrainUniforms=((Ht,rr)=>({u_depth:new a.aH(Ht,rr.u_depth),u_terrain:new a.aH(Ht,rr.u_terrain),u_terrain_dim:new a.aI(Ht,rr.u_terrain_dim),u_terrain_matrix:new a.aJ(Ht,rr.u_terrain_matrix),u_terrain_unpack:new a.aK(Ht,rr.u_terrain_unpack),u_terrain_exaggeration:new a.aI(Ht,rr.u_terrain_exaggeration)}))(w,Dt),this.binderUniforms=Q?Q.getUniforms(w,Dt):[]}draw(w,B,Q,ee,le,qe,Xe,ot,Tt,Kt,Jt,xr,Pr,ve,be,Re,Be,tt){let We=w.gl;if(this.failedToCreate)return;if(w.program.set(this.program),w.setDepthMode(Q),w.setStencilMode(ee),w.setColorMode(le),w.setCullFace(qe),ot){w.activeTexture.set(We.TEXTURE2),We.bindTexture(We.TEXTURE_2D,ot.depthTexture),w.activeTexture.set(We.TEXTURE3),We.bindTexture(We.TEXTURE_2D,ot.texture);for(let Dt in this.terrainUniforms)this.terrainUniforms[Dt].set(ot[Dt])}for(let Dt in this.fixedUniforms)this.fixedUniforms[Dt].set(Xe[Dt]);be&&be.setUniforms(w,this.binderUniforms,Pr,{zoom:ve});let it=0;switch(B){case We.LINES:it=2;break;case We.TRIANGLES:it=3;break;case We.LINE_STRIP:it=1}for(let Dt of xr.get()){let Ht=Dt.vaos||(Dt.vaos={});(Ht[Tt]||(Ht[Tt]=new Cr)).bind(w,this,Kt,be?be.getPaintVertexBuffers():[],Jt,Dt.vertexOffset,Re,Be,tt),We.drawElements(B,Dt.primitiveLength*it,We.UNSIGNED_SHORT,Dt.primitiveOffset*it*2)}}}function Sn(ue,w,B){let Q=1/Pn(B,1,w.transform.tileZoom),ee=Math.pow(2,B.tileID.overscaledZ),le=B.tileSize*Math.pow(2,w.transform.tileZoom)/ee,qe=le*(B.tileID.canonical.x+B.tileID.wrap*ee),Xe=le*B.tileID.canonical.y;return{u_image:0,u_texsize:B.imageAtlasTexture.size,u_scale:[Q,ue.fromScale,ue.toScale],u_fade:ue.t,u_pixel_coord_upper:[qe>>16,Xe>>16],u_pixel_coord_lower:[65535&qe,65535&Xe]}}let En=(ue,w,B,Q)=>{let ee=w.style.light,le=ee.properties.get(\"position\"),qe=[le.x,le.y,le.z],Xe=function(){var Tt=new a.A(9);return a.A!=Float32Array&&(Tt[1]=0,Tt[2]=0,Tt[3]=0,Tt[5]=0,Tt[6]=0,Tt[7]=0),Tt[0]=1,Tt[4]=1,Tt[8]=1,Tt}();ee.properties.get(\"anchor\")===\"viewport\"&&function(Tt,Kt){var Jt=Math.sin(Kt),xr=Math.cos(Kt);Tt[0]=xr,Tt[1]=Jt,Tt[2]=0,Tt[3]=-Jt,Tt[4]=xr,Tt[5]=0,Tt[6]=0,Tt[7]=0,Tt[8]=1}(Xe,-w.transform.angle),function(Tt,Kt,Jt){var xr=Kt[0],Pr=Kt[1],ve=Kt[2];Tt[0]=xr*Jt[0]+Pr*Jt[3]+ve*Jt[6],Tt[1]=xr*Jt[1]+Pr*Jt[4]+ve*Jt[7],Tt[2]=xr*Jt[2]+Pr*Jt[5]+ve*Jt[8]}(qe,qe,Xe);let ot=ee.properties.get(\"color\");return{u_matrix:ue,u_lightpos:qe,u_lightintensity:ee.properties.get(\"intensity\"),u_lightcolor:[ot.r,ot.g,ot.b],u_vertical_gradient:+B,u_opacity:Q}},ki=(ue,w,B,Q,ee,le,qe)=>a.e(En(ue,w,B,Q),Sn(le,w,qe),{u_height_factor:-Math.pow(2,ee.overscaledZ)/qe.tileSize/8}),_n=ue=>({u_matrix:ue}),ya=(ue,w,B,Q)=>a.e(_n(ue),Sn(B,w,Q)),Jn=(ue,w)=>({u_matrix:ue,u_world:w}),Ma=(ue,w,B,Q,ee)=>a.e(ya(ue,w,B,Q),{u_world:ee}),_o=(ue,w,B,Q)=>{let ee=ue.transform,le,qe;if(Q.paint.get(\"circle-pitch-alignment\")===\"map\"){let Xe=Pn(B,1,ee.zoom);le=!0,qe=[Xe,Xe]}else le=!1,qe=ee.pixelsToGLUnits;return{u_camera_to_center_distance:ee.cameraToCenterDistance,u_scale_with_map:+(Q.paint.get(\"circle-pitch-scale\")===\"map\"),u_matrix:ue.translatePosMatrix(w.posMatrix,B,Q.paint.get(\"circle-translate\"),Q.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+le,u_device_pixel_ratio:ue.pixelRatio,u_extrude_scale:qe}},No=(ue,w,B)=>({u_matrix:ue,u_inv_matrix:w,u_camera_to_center_distance:B.cameraToCenterDistance,u_viewport_size:[B.width,B.height]}),po=(ue,w,B=1)=>({u_matrix:ue,u_color:w,u_overlay:0,u_overlay_scale:B}),Lo=ue=>({u_matrix:ue}),Co=(ue,w,B,Q)=>({u_matrix:ue,u_extrude_scale:Pn(w,1,B),u_intensity:Q}),Fs=(ue,w,B,Q)=>{let ee=a.H();a.aP(ee,0,ue.width,ue.height,0,0,1);let le=ue.context.gl;return{u_matrix:ee,u_world:[le.drawingBufferWidth,le.drawingBufferHeight],u_image:B,u_color_ramp:Q,u_opacity:w.paint.get(\"heatmap-opacity\")}};function zs(ue,w){let B=Math.pow(2,w.canonical.z),Q=w.canonical.y;return[new a.Z(0,Q/B).toLngLat().lat,new a.Z(0,(Q+1)/B).toLngLat().lat]}let ul=(ue,w,B,Q)=>{let ee=ue.transform;return{u_matrix:Ss(ue,w,B,Q),u_ratio:1/Pn(w,1,ee.zoom),u_device_pixel_ratio:ue.pixelRatio,u_units_to_pixels:[1/ee.pixelsToGLUnits[0],1/ee.pixelsToGLUnits[1]]}},cl=(ue,w,B,Q,ee)=>a.e(ul(ue,w,B,ee),{u_image:0,u_image_height:Q}),Fl=(ue,w,B,Q,ee)=>{let le=ue.transform,qe=nl(w,le);return{u_matrix:Ss(ue,w,B,ee),u_texsize:w.imageAtlasTexture.size,u_ratio:1/Pn(w,1,le.zoom),u_device_pixel_ratio:ue.pixelRatio,u_image:0,u_scale:[qe,Q.fromScale,Q.toScale],u_fade:Q.t,u_units_to_pixels:[1/le.pixelsToGLUnits[0],1/le.pixelsToGLUnits[1]]}},cs=(ue,w,B,Q,ee,le)=>{let qe=ue.lineAtlas,Xe=nl(w,ue.transform),ot=B.layout.get(\"line-cap\")===\"round\",Tt=qe.getDash(Q.from,ot),Kt=qe.getDash(Q.to,ot),Jt=Tt.width*ee.fromScale,xr=Kt.width*ee.toScale;return a.e(ul(ue,w,B,le),{u_patternscale_a:[Xe/Jt,-Tt.height/2],u_patternscale_b:[Xe/xr,-Kt.height/2],u_sdfgamma:qe.width/(256*Math.min(Jt,xr)*ue.pixelRatio)/2,u_image:0,u_tex_y_a:Tt.y,u_tex_y_b:Kt.y,u_mix:ee.t})};function nl(ue,w){return 1/Pn(ue,1,w.tileZoom)}function Ss(ue,w,B,Q){return ue.translatePosMatrix(Q?Q.posMatrix:w.tileID.posMatrix,w,B.paint.get(\"line-translate\"),B.paint.get(\"line-translate-anchor\"))}let fl=(ue,w,B,Q,ee)=>{return{u_matrix:ue,u_tl_parent:w,u_scale_parent:B,u_buffer_scale:1,u_fade_t:Q.mix,u_opacity:Q.opacity*ee.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:ee.paint.get(\"raster-brightness-min\"),u_brightness_high:ee.paint.get(\"raster-brightness-max\"),u_saturation_factor:(qe=ee.paint.get(\"raster-saturation\"),qe>0?1-1/(1.001-qe):-qe),u_contrast_factor:(le=ee.paint.get(\"raster-contrast\"),le>0?1/(1-le):1+le),u_spin_weights:Js(ee.paint.get(\"raster-hue-rotate\"))};var le,qe};function Js(ue){ue*=Math.PI/180;let w=Math.sin(ue),B=Math.cos(ue);return[(2*B+1)/3,(-Math.sqrt(3)*w-B+1)/3,(Math.sqrt(3)*w-B+1)/3]}let Os=(ue,w,B,Q,ee,le,qe,Xe,ot,Tt,Kt,Jt,xr,Pr)=>{let ve=qe.transform;return{u_is_size_zoom_constant:+(ue===\"constant\"||ue===\"source\"),u_is_size_feature_constant:+(ue===\"constant\"||ue===\"camera\"),u_size_t:w?w.uSizeT:0,u_size:w?w.uSize:0,u_camera_to_center_distance:ve.cameraToCenterDistance,u_pitch:ve.pitch/360*2*Math.PI,u_rotate_symbol:+B,u_aspect_ratio:ve.width/ve.height,u_fade_change:qe.options.fadeDuration?qe.symbolFadeChange:1,u_matrix:Xe,u_label_plane_matrix:ot,u_coord_matrix:Tt,u_is_text:+Jt,u_pitch_with_map:+Q,u_is_along_line:ee,u_is_variable_anchor:le,u_texsize:xr,u_texture:0,u_translation:Kt,u_pitched_scale:Pr}},Io=(ue,w,B,Q,ee,le,qe,Xe,ot,Tt,Kt,Jt,xr,Pr,ve)=>{let be=qe.transform;return a.e(Os(ue,w,B,Q,ee,le,qe,Xe,ot,Tt,Kt,Jt,xr,ve),{u_gamma_scale:Q?Math.cos(be._pitch)*be.cameraToCenterDistance:1,u_device_pixel_ratio:qe.pixelRatio,u_is_halo:+Pr})},us=(ue,w,B,Q,ee,le,qe,Xe,ot,Tt,Kt,Jt,xr,Pr)=>a.e(Io(ue,w,B,Q,ee,le,qe,Xe,ot,Tt,Kt,!0,Jt,!0,Pr),{u_texsize_icon:xr,u_texture_icon:1}),Zl=(ue,w,B)=>({u_matrix:ue,u_opacity:w,u_color:B}),Su=(ue,w,B,Q,ee,le)=>a.e(function(qe,Xe,ot,Tt){let Kt=ot.imageManager.getPattern(qe.from.toString()),Jt=ot.imageManager.getPattern(qe.to.toString()),{width:xr,height:Pr}=ot.imageManager.getPixelSize(),ve=Math.pow(2,Tt.tileID.overscaledZ),be=Tt.tileSize*Math.pow(2,ot.transform.tileZoom)/ve,Re=be*(Tt.tileID.canonical.x+Tt.tileID.wrap*ve),Be=be*Tt.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:Kt.tl,u_pattern_br_a:Kt.br,u_pattern_tl_b:Jt.tl,u_pattern_br_b:Jt.br,u_texsize:[xr,Pr],u_mix:Xe.t,u_pattern_size_a:Kt.displaySize,u_pattern_size_b:Jt.displaySize,u_scale_a:Xe.fromScale,u_scale_b:Xe.toScale,u_tile_units_to_pixels:1/Pn(Tt,1,ot.transform.tileZoom),u_pixel_coord_upper:[Re>>16,Be>>16],u_pixel_coord_lower:[65535&Re,65535&Be]}}(Q,le,B,ee),{u_matrix:ue,u_opacity:w}),nc={fillExtrusion:(ue,w)=>({u_matrix:new a.aJ(ue,w.u_matrix),u_lightpos:new a.aN(ue,w.u_lightpos),u_lightintensity:new a.aI(ue,w.u_lightintensity),u_lightcolor:new a.aN(ue,w.u_lightcolor),u_vertical_gradient:new a.aI(ue,w.u_vertical_gradient),u_opacity:new 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a.aO(ue,w.u_world)}),fillOutlinePattern:(ue,w)=>({u_matrix:new a.aJ(ue,w.u_matrix),u_world:new a.aO(ue,w.u_world),u_image:new a.aH(ue,w.u_image),u_texsize:new a.aO(ue,w.u_texsize),u_pixel_coord_upper:new a.aO(ue,w.u_pixel_coord_upper),u_pixel_coord_lower:new a.aO(ue,w.u_pixel_coord_lower),u_scale:new a.aN(ue,w.u_scale),u_fade:new a.aI(ue,w.u_fade)}),circle:(ue,w)=>({u_camera_to_center_distance:new a.aI(ue,w.u_camera_to_center_distance),u_scale_with_map:new a.aH(ue,w.u_scale_with_map),u_pitch_with_map:new a.aH(ue,w.u_pitch_with_map),u_extrude_scale:new a.aO(ue,w.u_extrude_scale),u_device_pixel_ratio:new a.aI(ue,w.u_device_pixel_ratio),u_matrix:new a.aJ(ue,w.u_matrix)}),collisionBox:(ue,w)=>({u_matrix:new a.aJ(ue,w.u_matrix),u_pixel_extrude_scale:new a.aO(ue,w.u_pixel_extrude_scale)}),collisionCircle:(ue,w)=>({u_matrix:new a.aJ(ue,w.u_matrix),u_inv_matrix:new a.aJ(ue,w.u_inv_matrix),u_camera_to_center_distance:new a.aI(ue,w.u_camera_to_center_distance),u_viewport_size:new a.aO(ue,w.u_viewport_size)}),debug:(ue,w)=>({u_color:new a.aL(ue,w.u_color),u_matrix:new a.aJ(ue,w.u_matrix),u_overlay:new a.aH(ue,w.u_overlay),u_overlay_scale:new a.aI(ue,w.u_overlay_scale)}),clippingMask:(ue,w)=>({u_matrix:new a.aJ(ue,w.u_matrix)}),heatmap:(ue,w)=>({u_extrude_scale:new a.aI(ue,w.u_extrude_scale),u_intensity:new a.aI(ue,w.u_intensity),u_matrix:new a.aJ(ue,w.u_matrix)}),heatmapTexture:(ue,w)=>({u_matrix:new a.aJ(ue,w.u_matrix),u_world:new a.aO(ue,w.u_world),u_image:new a.aH(ue,w.u_image),u_color_ramp:new a.aH(ue,w.u_color_ramp),u_opacity:new a.aI(ue,w.u_opacity)}),hillshade:(ue,w)=>({u_matrix:new a.aJ(ue,w.u_matrix),u_image:new a.aH(ue,w.u_image),u_latrange:new a.aO(ue,w.u_latrange),u_light:new a.aO(ue,w.u_light),u_shadow:new a.aL(ue,w.u_shadow),u_highlight:new a.aL(ue,w.u_highlight),u_accent:new a.aL(ue,w.u_accent)}),hillshadePrepare:(ue,w)=>({u_matrix:new a.aJ(ue,w.u_matrix),u_image:new a.aH(ue,w.u_image),u_dimension:new a.aO(ue,w.u_dimension),u_zoom:new a.aI(ue,w.u_zoom),u_unpack:new a.aK(ue,w.u_unpack)}),line:(ue,w)=>({u_matrix:new a.aJ(ue,w.u_matrix),u_ratio:new a.aI(ue,w.u_ratio),u_device_pixel_ratio:new a.aI(ue,w.u_device_pixel_ratio),u_units_to_pixels:new a.aO(ue,w.u_units_to_pixels)}),lineGradient:(ue,w)=>({u_matrix:new a.aJ(ue,w.u_matrix),u_ratio:new a.aI(ue,w.u_ratio),u_device_pixel_ratio:new a.aI(ue,w.u_device_pixel_ratio),u_units_to_pixels:new a.aO(ue,w.u_units_to_pixels),u_image:new a.aH(ue,w.u_image),u_image_height:new a.aI(ue,w.u_image_height)}),linePattern:(ue,w)=>({u_matrix:new a.aJ(ue,w.u_matrix),u_texsize:new a.aO(ue,w.u_texsize),u_ratio:new a.aI(ue,w.u_ratio),u_device_pixel_ratio:new a.aI(ue,w.u_device_pixel_ratio),u_image:new a.aH(ue,w.u_image),u_units_to_pixels:new a.aO(ue,w.u_units_to_pixels),u_scale:new a.aN(ue,w.u_scale),u_fade:new a.aI(ue,w.u_fade)}),lineSDF:(ue,w)=>({u_matrix:new a.aJ(ue,w.u_matrix),u_ratio:new a.aI(ue,w.u_ratio),u_device_pixel_ratio:new a.aI(ue,w.u_device_pixel_ratio),u_units_to_pixels:new a.aO(ue,w.u_units_to_pixels),u_patternscale_a:new a.aO(ue,w.u_patternscale_a),u_patternscale_b:new a.aO(ue,w.u_patternscale_b),u_sdfgamma:new a.aI(ue,w.u_sdfgamma),u_image:new a.aH(ue,w.u_image),u_tex_y_a:new a.aI(ue,w.u_tex_y_a),u_tex_y_b:new a.aI(ue,w.u_tex_y_b),u_mix:new a.aI(ue,w.u_mix)}),raster:(ue,w)=>({u_matrix:new a.aJ(ue,w.u_matrix),u_tl_parent:new a.aO(ue,w.u_tl_parent),u_scale_parent:new a.aI(ue,w.u_scale_parent),u_buffer_scale:new a.aI(ue,w.u_buffer_scale),u_fade_t:new a.aI(ue,w.u_fade_t),u_opacity:new a.aI(ue,w.u_opacity),u_image0:new a.aH(ue,w.u_image0),u_image1:new a.aH(ue,w.u_image1),u_brightness_low:new a.aI(ue,w.u_brightness_low),u_brightness_high:new a.aI(ue,w.u_brightness_high),u_saturation_factor:new a.aI(ue,w.u_saturation_factor),u_contrast_factor:new a.aI(ue,w.u_contrast_factor),u_spin_weights:new a.aN(ue,w.u_spin_weights)}),symbolIcon:(ue,w)=>({u_is_size_zoom_constant:new a.aH(ue,w.u_is_size_zoom_constant),u_is_size_feature_constant:new a.aH(ue,w.u_is_size_feature_constant),u_size_t:new a.aI(ue,w.u_size_t),u_size:new a.aI(ue,w.u_size),u_camera_to_center_distance:new a.aI(ue,w.u_camera_to_center_distance),u_pitch:new a.aI(ue,w.u_pitch),u_rotate_symbol:new a.aH(ue,w.u_rotate_symbol),u_aspect_ratio:new a.aI(ue,w.u_aspect_ratio),u_fade_change:new a.aI(ue,w.u_fade_change),u_matrix:new a.aJ(ue,w.u_matrix),u_label_plane_matrix:new a.aJ(ue,w.u_label_plane_matrix),u_coord_matrix:new a.aJ(ue,w.u_coord_matrix),u_is_text:new a.aH(ue,w.u_is_text),u_pitch_with_map:new a.aH(ue,w.u_pitch_with_map),u_is_along_line:new a.aH(ue,w.u_is_along_line),u_is_variable_anchor:new a.aH(ue,w.u_is_variable_anchor),u_texsize:new a.aO(ue,w.u_texsize),u_texture:new a.aH(ue,w.u_texture),u_translation:new a.aO(ue,w.u_translation),u_pitched_scale:new a.aI(ue,w.u_pitched_scale)}),symbolSDF:(ue,w)=>({u_is_size_zoom_constant:new a.aH(ue,w.u_is_size_zoom_constant),u_is_size_feature_constant:new a.aH(ue,w.u_is_size_feature_constant),u_size_t:new a.aI(ue,w.u_size_t),u_size:new a.aI(ue,w.u_size),u_camera_to_center_distance:new a.aI(ue,w.u_camera_to_center_distance),u_pitch:new a.aI(ue,w.u_pitch),u_rotate_symbol:new a.aH(ue,w.u_rotate_symbol),u_aspect_ratio:new a.aI(ue,w.u_aspect_ratio),u_fade_change:new a.aI(ue,w.u_fade_change),u_matrix:new a.aJ(ue,w.u_matrix),u_label_plane_matrix:new a.aJ(ue,w.u_label_plane_matrix),u_coord_matrix:new a.aJ(ue,w.u_coord_matrix),u_is_text:new a.aH(ue,w.u_is_text),u_pitch_with_map:new a.aH(ue,w.u_pitch_with_map),u_is_along_line:new a.aH(ue,w.u_is_along_line),u_is_variable_anchor:new a.aH(ue,w.u_is_variable_anchor),u_texsize:new a.aO(ue,w.u_texsize),u_texture:new a.aH(ue,w.u_texture),u_gamma_scale:new a.aI(ue,w.u_gamma_scale),u_device_pixel_ratio:new a.aI(ue,w.u_device_pixel_ratio),u_is_halo:new a.aH(ue,w.u_is_halo),u_translation:new a.aO(ue,w.u_translation),u_pitched_scale:new a.aI(ue,w.u_pitched_scale)}),symbolTextAndIcon:(ue,w)=>({u_is_size_zoom_constant:new a.aH(ue,w.u_is_size_zoom_constant),u_is_size_feature_constant:new a.aH(ue,w.u_is_size_feature_constant),u_size_t:new a.aI(ue,w.u_size_t),u_size:new a.aI(ue,w.u_size),u_camera_to_center_distance:new a.aI(ue,w.u_camera_to_center_distance),u_pitch:new a.aI(ue,w.u_pitch),u_rotate_symbol:new a.aH(ue,w.u_rotate_symbol),u_aspect_ratio:new a.aI(ue,w.u_aspect_ratio),u_fade_change:new a.aI(ue,w.u_fade_change),u_matrix:new a.aJ(ue,w.u_matrix),u_label_plane_matrix:new a.aJ(ue,w.u_label_plane_matrix),u_coord_matrix:new a.aJ(ue,w.u_coord_matrix),u_is_text:new a.aH(ue,w.u_is_text),u_pitch_with_map:new a.aH(ue,w.u_pitch_with_map),u_is_along_line:new a.aH(ue,w.u_is_along_line),u_is_variable_anchor:new a.aH(ue,w.u_is_variable_anchor),u_texsize:new a.aO(ue,w.u_texsize),u_texsize_icon:new a.aO(ue,w.u_texsize_icon),u_texture:new a.aH(ue,w.u_texture),u_texture_icon:new a.aH(ue,w.u_texture_icon),u_gamma_scale:new a.aI(ue,w.u_gamma_scale),u_device_pixel_ratio:new a.aI(ue,w.u_device_pixel_ratio),u_is_halo:new a.aH(ue,w.u_is_halo),u_translation:new a.aO(ue,w.u_translation),u_pitched_scale:new a.aI(ue,w.u_pitched_scale)}),background:(ue,w)=>({u_matrix:new a.aJ(ue,w.u_matrix),u_opacity:new a.aI(ue,w.u_opacity),u_color:new a.aL(ue,w.u_color)}),backgroundPattern:(ue,w)=>({u_matrix:new a.aJ(ue,w.u_matrix),u_opacity:new a.aI(ue,w.u_opacity),u_image:new a.aH(ue,w.u_image),u_pattern_tl_a:new a.aO(ue,w.u_pattern_tl_a),u_pattern_br_a:new a.aO(ue,w.u_pattern_br_a),u_pattern_tl_b:new a.aO(ue,w.u_pattern_tl_b),u_pattern_br_b:new a.aO(ue,w.u_pattern_br_b),u_texsize:new a.aO(ue,w.u_texsize),u_mix:new a.aI(ue,w.u_mix),u_pattern_size_a:new a.aO(ue,w.u_pattern_size_a),u_pattern_size_b:new a.aO(ue,w.u_pattern_size_b),u_scale_a:new a.aI(ue,w.u_scale_a),u_scale_b:new a.aI(ue,w.u_scale_b),u_pixel_coord_upper:new a.aO(ue,w.u_pixel_coord_upper),u_pixel_coord_lower:new a.aO(ue,w.u_pixel_coord_lower),u_tile_units_to_pixels:new a.aI(ue,w.u_tile_units_to_pixels)}),terrain:(ue,w)=>({u_matrix:new a.aJ(ue,w.u_matrix),u_texture:new a.aH(ue,w.u_texture),u_ele_delta:new a.aI(ue,w.u_ele_delta),u_fog_matrix:new a.aJ(ue,w.u_fog_matrix),u_fog_color:new a.aL(ue,w.u_fog_color),u_fog_ground_blend:new a.aI(ue,w.u_fog_ground_blend),u_fog_ground_blend_opacity:new a.aI(ue,w.u_fog_ground_blend_opacity),u_horizon_color:new a.aL(ue,w.u_horizon_color),u_horizon_fog_blend:new a.aI(ue,w.u_horizon_fog_blend)}),terrainDepth:(ue,w)=>({u_matrix:new a.aJ(ue,w.u_matrix),u_ele_delta:new a.aI(ue,w.u_ele_delta)}),terrainCoords:(ue,w)=>({u_matrix:new a.aJ(ue,w.u_matrix),u_texture:new a.aH(ue,w.u_texture),u_terrain_coords_id:new a.aI(ue,w.u_terrain_coords_id),u_ele_delta:new a.aI(ue,w.u_ele_delta)}),sky:(ue,w)=>({u_sky_color:new a.aL(ue,w.u_sky_color),u_horizon_color:new a.aL(ue,w.u_horizon_color),u_horizon:new a.aI(ue,w.u_horizon),u_sky_horizon_blend:new a.aI(ue,w.u_sky_horizon_blend)})};class ws{constructor(w,B,Q){this.context=w;let ee=w.gl;this.buffer=ee.createBuffer(),this.dynamicDraw=!!Q,this.context.unbindVAO(),w.bindElementBuffer.set(this.buffer),ee.bufferData(ee.ELEMENT_ARRAY_BUFFER,B.arrayBuffer,this.dynamicDraw?ee.DYNAMIC_DRAW:ee.STATIC_DRAW),this.dynamicDraw||delete B.arrayBuffer}bind(){this.context.bindElementBuffer.set(this.buffer)}updateData(w){let B=this.context.gl;if(!this.dynamicDraw)throw new Error(\"Attempted to update data while not in dynamic mode.\");this.context.unbindVAO(),this.bind(),B.bufferSubData(B.ELEMENT_ARRAY_BUFFER,0,w.arrayBuffer)}destroy(){this.buffer&&(this.context.gl.deleteBuffer(this.buffer),delete this.buffer)}}let Fn={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"};class _a{constructor(w,B,Q,ee){this.length=B.length,this.attributes=Q,this.itemSize=B.bytesPerElement,this.dynamicDraw=ee,this.context=w;let le=w.gl;this.buffer=le.createBuffer(),w.bindVertexBuffer.set(this.buffer),le.bufferData(le.ARRAY_BUFFER,B.arrayBuffer,this.dynamicDraw?le.DYNAMIC_DRAW:le.STATIC_DRAW),this.dynamicDraw||delete B.arrayBuffer}bind(){this.context.bindVertexBuffer.set(this.buffer)}updateData(w){if(w.length!==this.length)throw new Error(`Length of new data is ${w.length}, which doesn't match current length of ${this.length}`);let B=this.context.gl;this.bind(),B.bufferSubData(B.ARRAY_BUFFER,0,w.arrayBuffer)}enableAttributes(w,B){for(let Q=0;Q<this.attributes.length;Q++){let ee=B.attributes[this.attributes[Q].name];ee!==void 0&&w.enableVertexAttribArray(ee)}}setVertexAttribPointers(w,B,Q){for(let ee=0;ee<this.attributes.length;ee++){let le=this.attributes[ee],qe=B.attributes[le.name];qe!==void 0&&w.vertexAttribPointer(qe,le.components,w[Fn[le.type]],!1,this.itemSize,le.offset+this.itemSize*(Q||0))}}destroy(){this.buffer&&(this.context.gl.deleteBuffer(this.buffer),delete this.buffer)}}let Vu=new WeakMap;function zl(ue){var w;if(Vu.has(ue))return Vu.get(ue);{let B=(w=ue.getParameter(ue.VERSION))===null||w===void 0?void 0:w.startsWith(\"WebGL 2.0\");return Vu.set(ue,B),B}}class xo{constructor(w){this.gl=w.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1}get(){return this.current}set(w){}getDefault(){return this.default}setDefault(){this.set(this.default)}}class Yl extends xo{getDefault(){return a.aM.transparent}set(w){let B=this.current;(w.r!==B.r||w.g!==B.g||w.b!==B.b||w.a!==B.a||this.dirty)&&(this.gl.clearColor(w.r,w.g,w.b,w.a),this.current=w,this.dirty=!1)}}class Us extends xo{getDefault(){return 1}set(w){(w!==this.current||this.dirty)&&(this.gl.clearDepth(w),this.current=w,this.dirty=!1)}}class Hl extends xo{getDefault(){return 0}set(w){(w!==this.current||this.dirty)&&(this.gl.clearStencil(w),this.current=w,this.dirty=!1)}}class ac extends xo{getDefault(){return[!0,!0,!0,!0]}set(w){let B=this.current;(w[0]!==B[0]||w[1]!==B[1]||w[2]!==B[2]||w[3]!==B[3]||this.dirty)&&(this.gl.colorMask(w[0],w[1],w[2],w[3]),this.current=w,this.dirty=!1)}}class aa extends xo{getDefault(){return!0}set(w){(w!==this.current||this.dirty)&&(this.gl.depthMask(w),this.current=w,this.dirty=!1)}}class Oo extends xo{getDefault(){return 255}set(w){(w!==this.current||this.dirty)&&(this.gl.stencilMask(w),this.current=w,this.dirty=!1)}}class qo extends xo{getDefault(){return{func:this.gl.ALWAYS,ref:0,mask:255}}set(w){let B=this.current;(w.func!==B.func||w.ref!==B.ref||w.mask!==B.mask||this.dirty)&&(this.gl.stencilFunc(w.func,w.ref,w.mask),this.current=w,this.dirty=!1)}}class Ol extends xo{getDefault(){let w=this.gl;return[w.KEEP,w.KEEP,w.KEEP]}set(w){let B=this.current;(w[0]!==B[0]||w[1]!==B[1]||w[2]!==B[2]||this.dirty)&&(this.gl.stencilOp(w[0],w[1],w[2]),this.current=w,this.dirty=!1)}}class Pc extends xo{getDefault(){return!1}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;w?B.enable(B.STENCIL_TEST):B.disable(B.STENCIL_TEST),this.current=w,this.dirty=!1}}class Do extends xo{getDefault(){return[0,1]}set(w){let B=this.current;(w[0]!==B[0]||w[1]!==B[1]||this.dirty)&&(this.gl.depthRange(w[0],w[1]),this.current=w,this.dirty=!1)}}class rf extends xo{getDefault(){return!1}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;w?B.enable(B.DEPTH_TEST):B.disable(B.DEPTH_TEST),this.current=w,this.dirty=!1}}class Uf extends xo{getDefault(){return this.gl.LESS}set(w){(w!==this.current||this.dirty)&&(this.gl.depthFunc(w),this.current=w,this.dirty=!1)}}class ml extends xo{getDefault(){return!1}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;w?B.enable(B.BLEND):B.disable(B.BLEND),this.current=w,this.dirty=!1}}class Zc extends xo{getDefault(){let w=this.gl;return[w.ONE,w.ZERO]}set(w){let B=this.current;(w[0]!==B[0]||w[1]!==B[1]||this.dirty)&&(this.gl.blendFunc(w[0],w[1]),this.current=w,this.dirty=!1)}}class Kl extends xo{getDefault(){return a.aM.transparent}set(w){let B=this.current;(w.r!==B.r||w.g!==B.g||w.b!==B.b||w.a!==B.a||this.dirty)&&(this.gl.blendColor(w.r,w.g,w.b,w.a),this.current=w,this.dirty=!1)}}class qs extends xo{getDefault(){return this.gl.FUNC_ADD}set(w){(w!==this.current||this.dirty)&&(this.gl.blendEquation(w),this.current=w,this.dirty=!1)}}class yu extends xo{getDefault(){return!1}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;w?B.enable(B.CULL_FACE):B.disable(B.CULL_FACE),this.current=w,this.dirty=!1}}class oc extends xo{getDefault(){return this.gl.BACK}set(w){(w!==this.current||this.dirty)&&(this.gl.cullFace(w),this.current=w,this.dirty=!1)}}class Cf extends xo{getDefault(){return this.gl.CCW}set(w){(w!==this.current||this.dirty)&&(this.gl.frontFace(w),this.current=w,this.dirty=!1)}}class sc extends xo{getDefault(){return null}set(w){(w!==this.current||this.dirty)&&(this.gl.useProgram(w),this.current=w,this.dirty=!1)}}class Nh extends xo{getDefault(){return this.gl.TEXTURE0}set(w){(w!==this.current||this.dirty)&&(this.gl.activeTexture(w),this.current=w,this.dirty=!1)}}class kf extends xo{getDefault(){let w=this.gl;return[0,0,w.drawingBufferWidth,w.drawingBufferHeight]}set(w){let B=this.current;(w[0]!==B[0]||w[1]!==B[1]||w[2]!==B[2]||w[3]!==B[3]||this.dirty)&&(this.gl.viewport(w[0],w[1],w[2],w[3]),this.current=w,this.dirty=!1)}}class fs extends xo{getDefault(){return null}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.bindFramebuffer(B.FRAMEBUFFER,w),this.current=w,this.dirty=!1}}class nf extends xo{getDefault(){return null}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.bindRenderbuffer(B.RENDERBUFFER,w),this.current=w,this.dirty=!1}}class Vf extends xo{getDefault(){return null}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.bindTexture(B.TEXTURE_2D,w),this.current=w,this.dirty=!1}}class Jl extends xo{getDefault(){return null}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.bindBuffer(B.ARRAY_BUFFER,w),this.current=w,this.dirty=!1}}class hl extends xo{getDefault(){return null}set(w){let B=this.gl;B.bindBuffer(B.ELEMENT_ARRAY_BUFFER,w),this.current=w,this.dirty=!1}}class lc extends xo{getDefault(){return null}set(w){var B;if(w===this.current&&!this.dirty)return;let Q=this.gl;zl(Q)?Q.bindVertexArray(w):(B=Q.getExtension(\"OES_vertex_array_object\"))===null||B===void 0||B.bindVertexArrayOES(w),this.current=w,this.dirty=!1}}class Fu extends xo{getDefault(){return 4}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.pixelStorei(B.UNPACK_ALIGNMENT,w),this.current=w,this.dirty=!1}}class Cs extends xo{getDefault(){return!1}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.pixelStorei(B.UNPACK_PREMULTIPLY_ALPHA_WEBGL,w),this.current=w,this.dirty=!1}}class js extends xo{getDefault(){return!1}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.pixelStorei(B.UNPACK_FLIP_Y_WEBGL,w),this.current=w,this.dirty=!1}}class Go extends xo{constructor(w,B){super(w),this.context=w,this.parent=B}getDefault(){return null}}class gs extends Go{setDirty(){this.dirty=!0}set(w){if(w===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);let B=this.gl;B.framebufferTexture2D(B.FRAMEBUFFER,B.COLOR_ATTACHMENT0,B.TEXTURE_2D,w,0),this.current=w,this.dirty=!1}}class uc extends Go{set(w){if(w===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);let B=this.gl;B.framebufferRenderbuffer(B.FRAMEBUFFER,B.DEPTH_ATTACHMENT,B.RENDERBUFFER,w),this.current=w,this.dirty=!1}}class xl extends Go{set(w){if(w===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);let B=this.gl;B.framebufferRenderbuffer(B.FRAMEBUFFER,B.DEPTH_STENCIL_ATTACHMENT,B.RENDERBUFFER,w),this.current=w,this.dirty=!1}}class Gu{constructor(w,B,Q,ee,le){this.context=w,this.width=B,this.height=Q;let qe=w.gl,Xe=this.framebuffer=qe.createFramebuffer();if(this.colorAttachment=new gs(w,Xe),ee)this.depthAttachment=le?new xl(w,Xe):new uc(w,Xe);else if(le)throw new Error(\"Stencil cannot be set without depth\");if(qe.checkFramebufferStatus(qe.FRAMEBUFFER)!==qe.FRAMEBUFFER_COMPLETE)throw new Error(\"Framebuffer is not complete\")}destroy(){let w=this.context.gl,B=this.colorAttachment.get();if(B&&w.deleteTexture(B),this.depthAttachment){let Q=this.depthAttachment.get();Q&&w.deleteRenderbuffer(Q)}w.deleteFramebuffer(this.framebuffer)}}class Bs{constructor(w,B,Q){this.blendFunction=w,this.blendColor=B,this.mask=Q}}Bs.Replace=[1,0],Bs.disabled=new Bs(Bs.Replace,a.aM.transparent,[!1,!1,!1,!1]),Bs.unblended=new Bs(Bs.Replace,a.aM.transparent,[!0,!0,!0,!0]),Bs.alphaBlended=new Bs([1,771],a.aM.transparent,[!0,!0,!0,!0]);class ad{constructor(w){var B,Q;if(this.gl=w,this.clearColor=new Yl(this),this.clearDepth=new Us(this),this.clearStencil=new Hl(this),this.colorMask=new ac(this),this.depthMask=new aa(this),this.stencilMask=new Oo(this),this.stencilFunc=new qo(this),this.stencilOp=new Ol(this),this.stencilTest=new Pc(this),this.depthRange=new Do(this),this.depthTest=new rf(this),this.depthFunc=new Uf(this),this.blend=new ml(this),this.blendFunc=new Zc(this),this.blendColor=new Kl(this),this.blendEquation=new qs(this),this.cullFace=new yu(this),this.cullFaceSide=new oc(this),this.frontFace=new Cf(this),this.program=new sc(this),this.activeTexture=new Nh(this),this.viewport=new kf(this),this.bindFramebuffer=new fs(this),this.bindRenderbuffer=new nf(this),this.bindTexture=new Vf(this),this.bindVertexBuffer=new Jl(this),this.bindElementBuffer=new hl(this),this.bindVertexArray=new lc(this),this.pixelStoreUnpack=new Fu(this),this.pixelStoreUnpackPremultiplyAlpha=new Cs(this),this.pixelStoreUnpackFlipY=new js(this),this.extTextureFilterAnisotropic=w.getExtension(\"EXT_texture_filter_anisotropic\")||w.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||w.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=w.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.maxTextureSize=w.getParameter(w.MAX_TEXTURE_SIZE),zl(w)){this.HALF_FLOAT=w.HALF_FLOAT;let ee=w.getExtension(\"EXT_color_buffer_half_float\");this.RGBA16F=(B=w.RGBA16F)!==null&&B!==void 0?B:ee==null?void 0:ee.RGBA16F_EXT,this.RGB16F=(Q=w.RGB16F)!==null&&Q!==void 0?Q:ee==null?void 0:ee.RGB16F_EXT,w.getExtension(\"EXT_color_buffer_float\")}else{w.getExtension(\"EXT_color_buffer_half_float\"),w.getExtension(\"OES_texture_half_float_linear\");let ee=w.getExtension(\"OES_texture_half_float\");this.HALF_FLOAT=ee==null?void 0:ee.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(w,B){return new ws(this,w,B)}createVertexBuffer(w,B,Q){return new _a(this,w,B,Q)}createRenderbuffer(w,B,Q){let ee=this.gl,le=ee.createRenderbuffer();return this.bindRenderbuffer.set(le),ee.renderbufferStorage(ee.RENDERBUFFER,w,B,Q),this.bindRenderbuffer.set(null),le}createFramebuffer(w,B,Q,ee){return new Gu(this,w,B,Q,ee)}clear({color:w,depth:B,stencil:Q}){let ee=this.gl,le=0;w&&(le|=ee.COLOR_BUFFER_BIT,this.clearColor.set(w),this.colorMask.set([!0,!0,!0,!0])),B!==void 0&&(le|=ee.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(B),this.depthMask.set(!0)),Q!==void 0&&(le|=ee.STENCIL_BUFFER_BIT,this.clearStencil.set(Q),this.stencilMask.set(255)),ee.clear(le)}setCullFace(w){w.enable===!1?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(w.mode),this.frontFace.set(w.frontFace))}setDepthMode(w){w.func!==this.gl.ALWAYS||w.mask?(this.depthTest.set(!0),this.depthFunc.set(w.func),this.depthMask.set(w.mask),this.depthRange.set(w.range)):this.depthTest.set(!1)}setStencilMode(w){w.test.func!==this.gl.ALWAYS||w.mask?(this.stencilTest.set(!0),this.stencilMask.set(w.mask),this.stencilOp.set([w.fail,w.depthFail,w.pass]),this.stencilFunc.set({func:w.test.func,ref:w.ref,mask:w.test.mask})):this.stencilTest.set(!1)}setColorMode(w){a.aE(w.blendFunction,Bs.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(w.blendFunction),this.blendColor.set(w.blendColor)),this.colorMask.set(w.mask)}createVertexArray(){var w;return zl(this.gl)?this.gl.createVertexArray():(w=this.gl.getExtension(\"OES_vertex_array_object\"))===null||w===void 0?void 0:w.createVertexArrayOES()}deleteVertexArray(w){var B;return zl(this.gl)?this.gl.deleteVertexArray(w):(B=this.gl.getExtension(\"OES_vertex_array_object\"))===null||B===void 0?void 0:B.deleteVertexArrayOES(w)}unbindVAO(){this.bindVertexArray.set(null)}}class Po{constructor(w,B,Q){this.func=w,this.mask=B,this.range=Q}}Po.ReadOnly=!1,Po.ReadWrite=!0,Po.disabled=new Po(519,Po.ReadOnly,[0,1]);let od=7680;class Yo{constructor(w,B,Q,ee,le,qe){this.test=w,this.ref=B,this.mask=Q,this.fail=ee,this.depthFail=le,this.pass=qe}}Yo.disabled=new Yo({func:519,mask:0},0,0,od,od,od);class Pa{constructor(w,B,Q){this.enable=w,this.mode=B,this.frontFace=Q}}let af;function Hu(ue,w,B,Q,ee){let le=ue.context,qe=le.gl,Xe=ue.useProgram(\"collisionBox\"),ot=[],Tt=0,Kt=0;for(let Be=0;Be<Q.length;Be++){let tt=Q[Be],We=w.getTile(tt).getBucket(B);if(!We)continue;let it=ee?We.textCollisionBox:We.iconCollisionBox,Dt=We.collisionCircleArray;if(Dt.length>0){let Ht=a.H();a.aQ(Ht,We.placementInvProjMatrix,ue.transform.glCoordMatrix),a.aQ(Ht,Ht,We.placementViewportMatrix),ot.push({circleArray:Dt,circleOffset:Kt,transform:tt.posMatrix,invTransform:Ht,coord:tt}),Tt+=Dt.length/4,Kt=Tt}it&&Xe.draw(le,qe.LINES,Po.disabled,Yo.disabled,ue.colorModeForRenderPass(),Pa.disabled,{u_matrix:tt.posMatrix,u_pixel_extrude_scale:[1/(Jt=ue.transform).width,1/Jt.height]},ue.style.map.terrain&&ue.style.map.terrain.getTerrainData(tt),B.id,it.layoutVertexBuffer,it.indexBuffer,it.segments,null,ue.transform.zoom,null,null,it.collisionVertexBuffer)}var Jt;if(!ee||!ot.length)return;let xr=ue.useProgram(\"collisionCircle\"),Pr=new a.aR;Pr.resize(4*Tt),Pr._trim();let ve=0;for(let Be of ot)for(let tt=0;tt<Be.circleArray.length/4;tt++){let We=4*tt,it=Be.circleArray[We+0],Dt=Be.circleArray[We+1],Ht=Be.circleArray[We+2],rr=Be.circleArray[We+3];Pr.emplace(ve++,it,Dt,Ht,rr,0),Pr.emplace(ve++,it,Dt,Ht,rr,1),Pr.emplace(ve++,it,Dt,Ht,rr,2),Pr.emplace(ve++,it,Dt,Ht,rr,3)}(!af||af.length<2*Tt)&&(af=function(Be){let tt=2*Be,We=new a.aT;We.resize(tt),We._trim();for(let it=0;it<tt;it++){let Dt=6*it;We.uint16[Dt+0]=4*it+0,We.uint16[Dt+1]=4*it+1,We.uint16[Dt+2]=4*it+2,We.uint16[Dt+3]=4*it+2,We.uint16[Dt+4]=4*it+3,We.uint16[Dt+5]=4*it+0}return We}(Tt));let be=le.createIndexBuffer(af,!0),Re=le.createVertexBuffer(Pr,a.aS.members,!0);for(let Be of ot){let tt=No(Be.transform,Be.invTransform,ue.transform);xr.draw(le,qe.TRIANGLES,Po.disabled,Yo.disabled,ue.colorModeForRenderPass(),Pa.disabled,tt,ue.style.map.terrain&&ue.style.map.terrain.getTerrainData(Be.coord),B.id,Re,be,a.a0.simpleSegment(0,2*Be.circleOffset,Be.circleArray.length,Be.circleArray.length/2),null,ue.transform.zoom,null,null,null)}Re.destroy(),be.destroy()}Pa.disabled=new Pa(!1,1029,2305),Pa.backCCW=new Pa(!0,1029,2305);let bl=a.an(new Float32Array(16));function Gf(ue,w,B,Q,ee,le){let{horizontalAlign:qe,verticalAlign:Xe}=a.au(ue);return new a.P((-(qe-.5)*w/ee+Q[0])*le,(-(Xe-.5)*B/ee+Q[1])*le)}function Ic(ue,w,B,Q,ee,le){let qe=w.tileAnchorPoint.add(new a.P(w.translation[0],w.translation[1]));if(w.pitchWithMap){let Xe=Q.mult(le);B||(Xe=Xe.rotate(-ee));let ot=qe.add(Xe);return dt(ot.x,ot.y,w.labelPlaneMatrix,w.getElevation).point}if(B){let Xe=vt(w.tileAnchorPoint.x+1,w.tileAnchorPoint.y,w).point.sub(ue),ot=Math.atan(Xe.y/Xe.x)+(Xe.x<0?Math.PI:0);return ue.add(Q.rotate(ot))}return ue.add(Q)}function mf(ue,w,B,Q,ee,le,qe,Xe,ot,Tt,Kt,Jt,xr,Pr){let ve=ue.text.placedSymbolArray,be=ue.text.dynamicLayoutVertexArray,Re=ue.icon.dynamicLayoutVertexArray,Be={};be.clear();for(let tt=0;tt<ve.length;tt++){let We=ve.get(tt),it=We.hidden||!We.crossTileID||ue.allowVerticalPlacement&&!We.placedOrientation?null:Q[We.crossTileID];if(it){let Dt=new a.P(We.anchorX,We.anchorY),Ht={getElevation:Pr,width:ee.width,height:ee.height,labelPlaneMatrix:le,lineVertexArray:null,pitchWithMap:B,projection:Kt,projectionCache:null,tileAnchorPoint:Dt,translation:Jt,unwrappedTileID:xr},rr=B?dt(Dt.x,Dt.y,qe,Pr):vt(Dt.x,Dt.y,Ht),dr=Ge(ee.cameraToCenterDistance,rr.signedDistanceFromCamera),Sr=a.ai(ue.textSizeData,ot,We)*dr/a.ap;B&&(Sr*=ue.tilePixelRatio/Xe);let{width:Or,height:jr,anchor:ii,textOffset:Li,textBoxScale:un}=it,sn=Gf(ii,Or,jr,Li,un,Sr),In=Kt.getPitchedTextCorrection(ee,Dt.add(new a.P(Jt[0],Jt[1])),xr),Kn=Ic(rr.point,Ht,w,sn,ee.angle,In),Aa=ue.allowVerticalPlacement&&We.placedOrientation===a.ah.vertical?Math.PI/2:0;for(let fa=0;fa<We.numGlyphs;fa++)a.aj(be,Kn,Aa);Tt&&We.associatedIconIndex>=0&&(Be[We.associatedIconIndex]={shiftedAnchor:Kn,angle:Aa})}else di(We.numGlyphs,be)}if(Tt){Re.clear();let tt=ue.icon.placedSymbolArray;for(let We=0;We<tt.length;We++){let it=tt.get(We);if(it.hidden)di(it.numGlyphs,Re);else{let Dt=Be[We];if(Dt)for(let Ht=0;Ht<it.numGlyphs;Ht++)a.aj(Re,Dt.shiftedAnchor,Dt.angle);else di(it.numGlyphs,Re)}}ue.icon.dynamicLayoutVertexBuffer.updateData(Re)}ue.text.dynamicLayoutVertexBuffer.updateData(be)}function ql(ue,w,B){return B.iconsInText&&w?\"symbolTextAndIcon\":ue?\"symbolSDF\":\"symbolIcon\"}function _h(ue,w,B,Q,ee,le,qe,Xe,ot,Tt,Kt,Jt){let xr=ue.context,Pr=xr.gl,ve=ue.transform,be=yn(),Re=Xe===\"map\",Be=ot===\"map\",tt=Xe!==\"viewport\"&&B.layout.get(\"symbol-placement\")!==\"point\",We=Re&&!Be&&!tt,it=!Be&&tt,Dt=!B.layout.get(\"symbol-sort-key\").isConstant(),Ht=!1,rr=ue.depthModeForSublayer(0,Po.ReadOnly),dr=B._unevaluatedLayout.hasValue(\"text-variable-anchor\")||B._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"),Sr=[],Or=be.getCircleRadiusCorrection(ve);for(let jr of Q){let ii=w.getTile(jr),Li=ii.getBucket(B);if(!Li)continue;let un=ee?Li.text:Li.icon;if(!un||!un.segments.get().length||!un.hasVisibleVertices)continue;let sn=un.programConfigurations.get(B.id),In=ee||Li.sdfIcons,Kn=ee?Li.textSizeData:Li.iconSizeData,Aa=Be||ve.pitch!==0,fa=ue.useProgram(ql(In,ee,Li),sn),$a=a.ag(Kn,ve.zoom),ko=ue.style.map.terrain&&ue.style.map.terrain.getTerrainData(jr),Qa,mo,Bo,Is,As=[0,0],wo=null;if(ee)mo=ii.glyphAtlasTexture,Bo=Pr.LINEAR,Qa=ii.glyphAtlasTexture.size,Li.iconsInText&&(As=ii.imageAtlasTexture.size,wo=ii.imageAtlasTexture,Is=Aa||ue.options.rotating||ue.options.zooming||Kn.kind===\"composite\"||Kn.kind===\"camera\"?Pr.LINEAR:Pr.NEAREST);else{let Ye=B.layout.get(\"icon-size\").constantOr(0)!==1||Li.iconsNeedLinear;mo=ii.imageAtlasTexture,Bo=In||ue.options.rotating||ue.options.zooming||Ye||Aa?Pr.LINEAR:Pr.NEAREST,Qa=ii.imageAtlasTexture.size}let To=Pn(ii,1,ue.transform.zoom),dl=it?jr.posMatrix:bl,Nl=Wr(dl,Be,Re,ue.transform,To),Lu=Ur(dl,Be,Re,ue.transform,To),ou=Ur(jr.posMatrix,Be,Re,ue.transform,To),$s=be.translatePosition(ue.transform,ii,le,qe),Ql=dr&&Li.hasTextData(),dc=B.layout.get(\"icon-text-fit\")!==\"none\"&&Ql&&Li.hasIconData();if(tt){let Ye=ue.style.map.terrain?(nt,jt)=>ue.style.map.terrain.getElevation(jr,nt,jt):null,Ct=B.layout.get(\"text-rotation-alignment\")===\"map\";je(Li,jr.posMatrix,ue,ee,Nl,ou,Be,Tt,Ct,be,jr.toUnwrapped(),ve.width,ve.height,$s,Ye)}let Tl=jr.posMatrix,Al=ee&&dr||dc,X=tt||Al?bl:Nl,se=Lu,Te=In&&B.paint.get(ee?\"text-halo-width\":\"icon-halo-width\").constantOr(1)!==0,Ne;Ne=In?Li.iconsInText?us(Kn.kind,$a,We,Be,tt,Al,ue,Tl,X,se,$s,Qa,As,Or):Io(Kn.kind,$a,We,Be,tt,Al,ue,Tl,X,se,$s,ee,Qa,!0,Or):Os(Kn.kind,$a,We,Be,tt,Al,ue,Tl,X,se,$s,ee,Qa,Or);let He={program:fa,buffers:un,uniformValues:Ne,atlasTexture:mo,atlasTextureIcon:wo,atlasInterpolation:Bo,atlasInterpolationIcon:Is,isSDF:In,hasHalo:Te};if(Dt&&Li.canOverlap){Ht=!0;let Ye=un.segments.get();for(let Ct of Ye)Sr.push({segments:new a.a0([Ct]),sortKey:Ct.sortKey,state:He,terrainData:ko})}else Sr.push({segments:un.segments,sortKey:0,state:He,terrainData:ko})}Ht&&Sr.sort((jr,ii)=>jr.sortKey-ii.sortKey);for(let jr of Sr){let ii=jr.state;if(xr.activeTexture.set(Pr.TEXTURE0),ii.atlasTexture.bind(ii.atlasInterpolation,Pr.CLAMP_TO_EDGE),ii.atlasTextureIcon&&(xr.activeTexture.set(Pr.TEXTURE1),ii.atlasTextureIcon&&ii.atlasTextureIcon.bind(ii.atlasInterpolationIcon,Pr.CLAMP_TO_EDGE)),ii.isSDF){let Li=ii.uniformValues;ii.hasHalo&&(Li.u_is_halo=1,Qf(ii.buffers,jr.segments,B,ue,ii.program,rr,Kt,Jt,Li,jr.terrainData)),Li.u_is_halo=0}Qf(ii.buffers,jr.segments,B,ue,ii.program,rr,Kt,Jt,ii.uniformValues,jr.terrainData)}}function Qf(ue,w,B,Q,ee,le,qe,Xe,ot,Tt){let Kt=Q.context;ee.draw(Kt,Kt.gl.TRIANGLES,le,qe,Xe,Pa.disabled,ot,Tt,B.id,ue.layoutVertexBuffer,ue.indexBuffer,w,B.paint,Q.transform.zoom,ue.programConfigurations.get(B.id),ue.dynamicLayoutVertexBuffer,ue.opacityVertexBuffer)}function yf(ue,w,B,Q){let ee=ue.context,le=ee.gl,qe=Yo.disabled,Xe=new Bs([le.ONE,le.ONE],a.aM.transparent,[!0,!0,!0,!0]),ot=w.getBucket(B);if(!ot)return;let Tt=Q.key,Kt=B.heatmapFbos.get(Tt);Kt||(Kt=eh(ee,w.tileSize,w.tileSize),B.heatmapFbos.set(Tt,Kt)),ee.bindFramebuffer.set(Kt.framebuffer),ee.viewport.set([0,0,w.tileSize,w.tileSize]),ee.clear({color:a.aM.transparent});let Jt=ot.programConfigurations.get(B.id),xr=ue.useProgram(\"heatmap\",Jt),Pr=ue.style.map.terrain.getTerrainData(Q);xr.draw(ee,le.TRIANGLES,Po.disabled,qe,Xe,Pa.disabled,Co(Q.posMatrix,w,ue.transform.zoom,B.paint.get(\"heatmap-intensity\")),Pr,B.id,ot.layoutVertexBuffer,ot.indexBuffer,ot.segments,B.paint,ue.transform.zoom,Jt)}function Yc(ue,w,B){let Q=ue.context,ee=Q.gl;Q.setColorMode(ue.colorModeForRenderPass());let le=th(Q,w),qe=B.key,Xe=w.heatmapFbos.get(qe);Xe&&(Q.activeTexture.set(ee.TEXTURE0),ee.bindTexture(ee.TEXTURE_2D,Xe.colorAttachment.get()),Q.activeTexture.set(ee.TEXTURE1),le.bind(ee.LINEAR,ee.CLAMP_TO_EDGE),ue.useProgram(\"heatmapTexture\").draw(Q,ee.TRIANGLES,Po.disabled,Yo.disabled,ue.colorModeForRenderPass(),Pa.disabled,Fs(ue,w,0,1),null,w.id,ue.rasterBoundsBuffer,ue.quadTriangleIndexBuffer,ue.rasterBoundsSegments,w.paint,ue.transform.zoom),Xe.destroy(),w.heatmapFbos.delete(qe))}function eh(ue,w,B){var Q,ee;let le=ue.gl,qe=le.createTexture();le.bindTexture(le.TEXTURE_2D,qe),le.texParameteri(le.TEXTURE_2D,le.TEXTURE_WRAP_S,le.CLAMP_TO_EDGE),le.texParameteri(le.TEXTURE_2D,le.TEXTURE_WRAP_T,le.CLAMP_TO_EDGE),le.texParameteri(le.TEXTURE_2D,le.TEXTURE_MIN_FILTER,le.LINEAR),le.texParameteri(le.TEXTURE_2D,le.TEXTURE_MAG_FILTER,le.LINEAR);let Xe=(Q=ue.HALF_FLOAT)!==null&&Q!==void 0?Q:le.UNSIGNED_BYTE,ot=(ee=ue.RGBA16F)!==null&&ee!==void 0?ee:le.RGBA;le.texImage2D(le.TEXTURE_2D,0,ot,w,B,0,le.RGBA,Xe,null);let Tt=ue.createFramebuffer(w,B,!1,!1);return Tt.colorAttachment.set(qe),Tt}function th(ue,w){return w.colorRampTexture||(w.colorRampTexture=new g(ue,w.colorRamp,ue.gl.RGBA)),w.colorRampTexture}function ju(ue,w,B,Q,ee){if(!B||!Q||!Q.imageAtlas)return;let le=Q.imageAtlas.patternPositions,qe=le[B.to.toString()],Xe=le[B.from.toString()];if(!qe&&Xe&&(qe=Xe),!Xe&&qe&&(Xe=qe),!qe||!Xe){let ot=ee.getPaintProperty(w);qe=le[ot],Xe=le[ot]}qe&&Xe&&ue.setConstantPatternPositions(qe,Xe)}function Hf(ue,w,B,Q,ee,le,qe){let Xe=ue.context.gl,ot=\"fill-pattern\",Tt=B.paint.get(ot),Kt=Tt&&Tt.constantOr(1),Jt=B.getCrossfadeParameters(),xr,Pr,ve,be,Re;qe?(Pr=Kt&&!B.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",xr=Xe.LINES):(Pr=Kt?\"fillPattern\":\"fill\",xr=Xe.TRIANGLES);let Be=Tt.constantOr(null);for(let tt of Q){let We=w.getTile(tt);if(Kt&&!We.patternsLoaded())continue;let it=We.getBucket(B);if(!it)continue;let Dt=it.programConfigurations.get(B.id),Ht=ue.useProgram(Pr,Dt),rr=ue.style.map.terrain&&ue.style.map.terrain.getTerrainData(tt);Kt&&(ue.context.activeTexture.set(Xe.TEXTURE0),We.imageAtlasTexture.bind(Xe.LINEAR,Xe.CLAMP_TO_EDGE),Dt.updatePaintBuffers(Jt)),ju(Dt,ot,Be,We,B);let dr=rr?tt:null,Sr=ue.translatePosMatrix(dr?dr.posMatrix:tt.posMatrix,We,B.paint.get(\"fill-translate\"),B.paint.get(\"fill-translate-anchor\"));if(qe){be=it.indexBuffer2,Re=it.segments2;let Or=[Xe.drawingBufferWidth,Xe.drawingBufferHeight];ve=Pr===\"fillOutlinePattern\"&&Kt?Ma(Sr,ue,Jt,We,Or):Jn(Sr,Or)}else be=it.indexBuffer,Re=it.segments,ve=Kt?ya(Sr,ue,Jt,We):_n(Sr);Ht.draw(ue.context,xr,ee,ue.stencilModeForClipping(tt),le,Pa.disabled,ve,rr,B.id,it.layoutVertexBuffer,be,Re,B.paint,ue.transform.zoom,Dt)}}function cc(ue,w,B,Q,ee,le,qe){let Xe=ue.context,ot=Xe.gl,Tt=\"fill-extrusion-pattern\",Kt=B.paint.get(Tt),Jt=Kt.constantOr(1),xr=B.getCrossfadeParameters(),Pr=B.paint.get(\"fill-extrusion-opacity\"),ve=Kt.constantOr(null);for(let be of Q){let Re=w.getTile(be),Be=Re.getBucket(B);if(!Be)continue;let tt=ue.style.map.terrain&&ue.style.map.terrain.getTerrainData(be),We=Be.programConfigurations.get(B.id),it=ue.useProgram(Jt?\"fillExtrusionPattern\":\"fillExtrusion\",We);Jt&&(ue.context.activeTexture.set(ot.TEXTURE0),Re.imageAtlasTexture.bind(ot.LINEAR,ot.CLAMP_TO_EDGE),We.updatePaintBuffers(xr)),ju(We,Tt,ve,Re,B);let Dt=ue.translatePosMatrix(be.posMatrix,Re,B.paint.get(\"fill-extrusion-translate\"),B.paint.get(\"fill-extrusion-translate-anchor\")),Ht=B.paint.get(\"fill-extrusion-vertical-gradient\"),rr=Jt?ki(Dt,ue,Ht,Pr,be,xr,Re):En(Dt,ue,Ht,Pr);it.draw(Xe,Xe.gl.TRIANGLES,ee,le,qe,Pa.backCCW,rr,tt,B.id,Be.layoutVertexBuffer,Be.indexBuffer,Be.segments,B.paint,ue.transform.zoom,We,ue.style.map.terrain&&Be.centroidVertexBuffer)}}function of(ue,w,B,Q,ee,le,qe){let Xe=ue.context,ot=Xe.gl,Tt=B.fbo;if(!Tt)return;let Kt=ue.useProgram(\"hillshade\"),Jt=ue.style.map.terrain&&ue.style.map.terrain.getTerrainData(w);Xe.activeTexture.set(ot.TEXTURE0),ot.bindTexture(ot.TEXTURE_2D,Tt.colorAttachment.get()),Kt.draw(Xe,ot.TRIANGLES,ee,le,qe,Pa.disabled,((xr,Pr,ve,be)=>{let Re=ve.paint.get(\"hillshade-shadow-color\"),Be=ve.paint.get(\"hillshade-highlight-color\"),tt=ve.paint.get(\"hillshade-accent-color\"),We=ve.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);ve.paint.get(\"hillshade-illumination-anchor\")===\"viewport\"&&(We-=xr.transform.angle);let it=!xr.options.moving;return{u_matrix:be?be.posMatrix:xr.transform.calculatePosMatrix(Pr.tileID.toUnwrapped(),it),u_image:0,u_latrange:zs(0,Pr.tileID),u_light:[ve.paint.get(\"hillshade-exaggeration\"),We],u_shadow:Re,u_highlight:Be,u_accent:tt}})(ue,B,Q,Jt?w:null),Jt,Q.id,ue.rasterBoundsBuffer,ue.quadTriangleIndexBuffer,ue.rasterBoundsSegments)}function Bl(ue,w,B,Q,ee,le){let qe=ue.context,Xe=qe.gl,ot=w.dem;if(ot&&ot.data){let Tt=ot.dim,Kt=ot.stride,Jt=ot.getPixels();if(qe.activeTexture.set(Xe.TEXTURE1),qe.pixelStoreUnpackPremultiplyAlpha.set(!1),w.demTexture=w.demTexture||ue.getTileTexture(Kt),w.demTexture){let Pr=w.demTexture;Pr.update(Jt,{premultiply:!1}),Pr.bind(Xe.NEAREST,Xe.CLAMP_TO_EDGE)}else w.demTexture=new g(qe,Jt,Xe.RGBA,{premultiply:!1}),w.demTexture.bind(Xe.NEAREST,Xe.CLAMP_TO_EDGE);qe.activeTexture.set(Xe.TEXTURE0);let xr=w.fbo;if(!xr){let Pr=new g(qe,{width:Tt,height:Tt,data:null},Xe.RGBA);Pr.bind(Xe.LINEAR,Xe.CLAMP_TO_EDGE),xr=w.fbo=qe.createFramebuffer(Tt,Tt,!0,!1),xr.colorAttachment.set(Pr.texture)}qe.bindFramebuffer.set(xr.framebuffer),qe.viewport.set([0,0,Tt,Tt]),ue.useProgram(\"hillshadePrepare\").draw(qe,Xe.TRIANGLES,Q,ee,le,Pa.disabled,((Pr,ve)=>{let be=ve.stride,Re=a.H();return a.aP(Re,0,a.X,-a.X,0,0,1),a.J(Re,Re,[0,-a.X,0]),{u_matrix:Re,u_image:1,u_dimension:[be,be],u_zoom:Pr.overscaledZ,u_unpack:ve.getUnpackVector()}})(w.tileID,ot),null,B.id,ue.rasterBoundsBuffer,ue.quadTriangleIndexBuffer,ue.rasterBoundsSegments),w.needsHillshadePrepare=!1}}function Kc(ue,w,B,Q,ee,le){let qe=Q.paint.get(\"raster-fade-duration\");if(!le&&qe>0){let Xe=u.now(),ot=(Xe-ue.timeAdded)/qe,Tt=w?(Xe-w.timeAdded)/qe:-1,Kt=B.getSource(),Jt=ee.coveringZoomLevel({tileSize:Kt.tileSize,roundZoom:Kt.roundZoom}),xr=!w||Math.abs(w.tileID.overscaledZ-Jt)>Math.abs(ue.tileID.overscaledZ-Jt),Pr=xr&&ue.refreshedUponExpiration?1:a.ac(xr?ot:1-Tt,0,1);return ue.refreshedUponExpiration&&ot>=1&&(ue.refreshedUponExpiration=!1),w?{opacity:1,mix:1-Pr}:{opacity:Pr,mix:0}}return{opacity:1,mix:0}}let Rc=new a.aM(1,0,0,1),ms=new a.aM(0,1,0,1),jf=new a.aM(0,0,1,1),Uh=new a.aM(1,0,1,1),rh=new a.aM(0,1,1,1);function sf(ue,w,B,Q){Mu(ue,0,w+B/2,ue.transform.width,B,Q)}function xh(ue,w,B,Q){Mu(ue,w-B/2,0,B,ue.transform.height,Q)}function Mu(ue,w,B,Q,ee,le){let qe=ue.context,Xe=qe.gl;Xe.enable(Xe.SCISSOR_TEST),Xe.scissor(w*ue.pixelRatio,B*ue.pixelRatio,Q*ue.pixelRatio,ee*ue.pixelRatio),qe.clear({color:le}),Xe.disable(Xe.SCISSOR_TEST)}function ih(ue,w,B){let Q=ue.context,ee=Q.gl,le=B.posMatrix,qe=ue.useProgram(\"debug\"),Xe=Po.disabled,ot=Yo.disabled,Tt=ue.colorModeForRenderPass(),Kt=\"$debug\",Jt=ue.style.map.terrain&&ue.style.map.terrain.getTerrainData(B);Q.activeTexture.set(ee.TEXTURE0);let xr=w.getTileByID(B.key).latestRawTileData,Pr=Math.floor((xr&&xr.byteLength||0)/1024),ve=w.getTile(B).tileSize,be=512/Math.min(ve,512)*(B.overscaledZ/ue.transform.zoom)*.5,Re=B.canonical.toString();B.overscaledZ!==B.canonical.z&&(Re+=` => ${B.overscaledZ}`),function(Be,tt){Be.initDebugOverlayCanvas();let We=Be.debugOverlayCanvas,it=Be.context.gl,Dt=Be.debugOverlayCanvas.getContext(\"2d\");Dt.clearRect(0,0,We.width,We.height),Dt.shadowColor=\"white\",Dt.shadowBlur=2,Dt.lineWidth=1.5,Dt.strokeStyle=\"white\",Dt.textBaseline=\"top\",Dt.font=\"bold 36px Open Sans, sans-serif\",Dt.fillText(tt,5,5),Dt.strokeText(tt,5,5),Be.debugOverlayTexture.update(We),Be.debugOverlayTexture.bind(it.LINEAR,it.CLAMP_TO_EDGE)}(ue,`${Re} ${Pr}kB`),qe.draw(Q,ee.TRIANGLES,Xe,ot,Bs.alphaBlended,Pa.disabled,po(le,a.aM.transparent,be),null,Kt,ue.debugBuffer,ue.quadTriangleIndexBuffer,ue.debugSegments),qe.draw(Q,ee.LINE_STRIP,Xe,ot,Tt,Pa.disabled,po(le,a.aM.red),Jt,Kt,ue.debugBuffer,ue.tileBorderIndexBuffer,ue.debugSegments)}function Ws(ue,w,B){let Q=ue.context,ee=Q.gl,le=ue.colorModeForRenderPass(),qe=new Po(ee.LEQUAL,Po.ReadWrite,ue.depthRangeFor3D),Xe=ue.useProgram(\"terrain\"),ot=w.getTerrainMesh();Q.bindFramebuffer.set(null),Q.viewport.set([0,0,ue.width,ue.height]);for(let Tt of B){let Kt=ue.renderToTexture.getTexture(Tt),Jt=w.getTerrainData(Tt.tileID);Q.activeTexture.set(ee.TEXTURE0),ee.bindTexture(ee.TEXTURE_2D,Kt.texture);let xr=ue.transform.calculatePosMatrix(Tt.tileID.toUnwrapped()),Pr=w.getMeshFrameDelta(ue.transform.zoom),ve=ue.transform.calculateFogMatrix(Tt.tileID.toUnwrapped()),be=Qr(xr,Pr,ve,ue.style.sky,ue.transform.pitch);Xe.draw(Q,ee.TRIANGLES,qe,Yo.disabled,le,Pa.backCCW,be,Jt,\"terrain\",ot.vertexBuffer,ot.indexBuffer,ot.segments)}}class Eu{constructor(w,B,Q){this.vertexBuffer=w,this.indexBuffer=B,this.segments=Q}destroy(){this.vertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.vertexBuffer=null,this.indexBuffer=null,this.segments=null}}class Dc{constructor(w,B){this.context=new ad(w),this.transform=B,this._tileTextures={},this.terrainFacilitator={dirty:!0,matrix:a.an(new Float64Array(16)),renderTime:0},this.setup(),this.numSublayers=yt.maxUnderzooming+yt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Wo}resize(w,B,Q){if(this.width=Math.floor(w*Q),this.height=Math.floor(B*Q),this.pixelRatio=Q,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(let ee of this.style._order)this.style._layers[ee].resize()}setup(){let w=this.context,B=new a.aX;B.emplaceBack(0,0),B.emplaceBack(a.X,0),B.emplaceBack(0,a.X),B.emplaceBack(a.X,a.X),this.tileExtentBuffer=w.createVertexBuffer(B,vo.members),this.tileExtentSegments=a.a0.simpleSegment(0,0,4,2);let Q=new a.aX;Q.emplaceBack(0,0),Q.emplaceBack(a.X,0),Q.emplaceBack(0,a.X),Q.emplaceBack(a.X,a.X),this.debugBuffer=w.createVertexBuffer(Q,vo.members),this.debugSegments=a.a0.simpleSegment(0,0,4,5);let ee=new a.$;ee.emplaceBack(0,0,0,0),ee.emplaceBack(a.X,0,a.X,0),ee.emplaceBack(0,a.X,0,a.X),ee.emplaceBack(a.X,a.X,a.X,a.X),this.rasterBoundsBuffer=w.createVertexBuffer(ee,lt.members),this.rasterBoundsSegments=a.a0.simpleSegment(0,0,4,2);let le=new a.aX;le.emplaceBack(0,0),le.emplaceBack(1,0),le.emplaceBack(0,1),le.emplaceBack(1,1),this.viewportBuffer=w.createVertexBuffer(le,vo.members),this.viewportSegments=a.a0.simpleSegment(0,0,4,2);let qe=new a.aZ;qe.emplaceBack(0),qe.emplaceBack(1),qe.emplaceBack(3),qe.emplaceBack(2),qe.emplaceBack(0),this.tileBorderIndexBuffer=w.createIndexBuffer(qe);let Xe=new a.aY;Xe.emplaceBack(0,1,2),Xe.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=w.createIndexBuffer(Xe);let ot=this.context.gl;this.stencilClearMode=new Yo({func:ot.ALWAYS,mask:0},0,255,ot.ZERO,ot.ZERO,ot.ZERO)}clearStencil(){let w=this.context,B=w.gl;this.nextStencilID=1,this.currentStencilSource=void 0;let Q=a.H();a.aP(Q,0,this.width,this.height,0,0,1),a.K(Q,Q,[B.drawingBufferWidth,B.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(w,B.TRIANGLES,Po.disabled,this.stencilClearMode,Bs.disabled,Pa.disabled,Lo(Q),null,\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)}_renderTileClippingMasks(w,B){if(this.currentStencilSource===w.source||!w.isTileClipped()||!B||!B.length)return;this.currentStencilSource=w.source;let Q=this.context,ee=Q.gl;this.nextStencilID+B.length>256&&this.clearStencil(),Q.setColorMode(Bs.disabled),Q.setDepthMode(Po.disabled);let le=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(let qe of B){let Xe=this._tileClippingMaskIDs[qe.key]=this.nextStencilID++,ot=this.style.map.terrain&&this.style.map.terrain.getTerrainData(qe);le.draw(Q,ee.TRIANGLES,Po.disabled,new Yo({func:ee.ALWAYS,mask:0},Xe,255,ee.KEEP,ee.KEEP,ee.REPLACE),Bs.disabled,Pa.disabled,Lo(qe.posMatrix),ot,\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}stencilModeFor3D(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();let w=this.nextStencilID++,B=this.context.gl;return new Yo({func:B.NOTEQUAL,mask:255},w,255,B.KEEP,B.KEEP,B.REPLACE)}stencilModeForClipping(w){let B=this.context.gl;return new Yo({func:B.EQUAL,mask:255},this._tileClippingMaskIDs[w.key],0,B.KEEP,B.KEEP,B.REPLACE)}stencilConfigForOverlap(w){let B=this.context.gl,Q=w.sort((qe,Xe)=>Xe.overscaledZ-qe.overscaledZ),ee=Q[Q.length-1].overscaledZ,le=Q[0].overscaledZ-ee+1;if(le>1){this.currentStencilSource=void 0,this.nextStencilID+le>256&&this.clearStencil();let qe={};for(let Xe=0;Xe<le;Xe++)qe[Xe+ee]=new Yo({func:B.GEQUAL,mask:255},Xe+this.nextStencilID,255,B.KEEP,B.KEEP,B.REPLACE);return this.nextStencilID+=le,[qe,Q]}return[{[ee]:Yo.disabled},Q]}colorModeForRenderPass(){let w=this.context.gl;return this._showOverdrawInspector?new Bs([w.CONSTANT_COLOR,w.ONE],new a.aM(.125,.125,.125,0),[!0,!0,!0,!0]):this.renderPass===\"opaque\"?Bs.unblended:Bs.alphaBlended}depthModeForSublayer(w,B,Q){if(!this.opaquePassEnabledForLayer())return Po.disabled;let ee=1-((1+this.currentLayer)*this.numSublayers+w)*this.depthEpsilon;return new Po(Q||this.context.gl.LEQUAL,B,[ee,ee])}opaquePassEnabledForLayer(){return this.currentLayer<this.opaquePassCutoff}render(w,B){this.style=w,this.options=B,this.lineAtlas=w.lineAtlas,this.imageManager=w.imageManager,this.glyphManager=w.glyphManager,this.symbolFadeChange=w.placement.symbolFadeChange(u.now()),this.imageManager.beginFrame();let Q=this.style._order,ee=this.style.sourceCaches,le={},qe={},Xe={};for(let ot in ee){let Tt=ee[ot];Tt.used&&Tt.prepare(this.context),le[ot]=Tt.getVisibleCoordinates(),qe[ot]=le[ot].slice().reverse(),Xe[ot]=Tt.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(let ot=0;ot<Q.length;ot++)if(this.style._layers[Q[ot]].is3D()){this.opaquePassCutoff=ot;break}this.maybeDrawDepthAndCoords(!1),this.renderToTexture&&(this.renderToTexture.prepareForRender(this.style,this.transform.zoom),this.opaquePassCutoff=0),this.renderPass=\"offscreen\";for(let ot of Q){let Tt=this.style._layers[ot];if(!Tt.hasOffscreenPass()||Tt.isHidden(this.transform.zoom))continue;let Kt=qe[Tt.source];(Tt.type===\"custom\"||Kt.length)&&this.renderLayer(this,ee[Tt.source],Tt,Kt)}if(this.context.bindFramebuffer.set(null),this.context.clear({color:B.showOverdrawInspector?a.aM.black:a.aM.transparent,depth:1}),this.clearStencil(),this.style.sky&&function(ot,Tt){let Kt=ot.context,Jt=Kt.gl,xr=((Be,tt,We)=>({u_sky_color:Be.properties.get(\"sky-color\"),u_horizon_color:Be.properties.get(\"horizon-color\"),u_horizon:(tt.height/2+tt.getHorizon())*We,u_sky_horizon_blend:Be.properties.get(\"sky-horizon-blend\")*tt.height/2*We}))(Tt,ot.style.map.transform,ot.pixelRatio),Pr=new Po(Jt.LEQUAL,Po.ReadWrite,[0,1]),ve=Yo.disabled,be=ot.colorModeForRenderPass(),Re=ot.useProgram(\"sky\");if(!Tt.mesh){let Be=new a.aX;Be.emplaceBack(-1,-1),Be.emplaceBack(1,-1),Be.emplaceBack(1,1),Be.emplaceBack(-1,1);let tt=new a.aY;tt.emplaceBack(0,1,2),tt.emplaceBack(0,2,3),Tt.mesh=new Eu(Kt.createVertexBuffer(Be,vo.members),Kt.createIndexBuffer(tt),a.a0.simpleSegment(0,0,Be.length,tt.length))}Re.draw(Kt,Jt.TRIANGLES,Pr,ve,be,Pa.disabled,xr,void 0,\"sky\",Tt.mesh.vertexBuffer,Tt.mesh.indexBuffer,Tt.mesh.segments)}(this,this.style.sky),this._showOverdrawInspector=B.showOverdrawInspector,this.depthRangeFor3D=[0,1-(w._order.length+2)*this.numSublayers*this.depthEpsilon],!this.renderToTexture)for(this.renderPass=\"opaque\",this.currentLayer=Q.length-1;this.currentLayer>=0;this.currentLayer--){let ot=this.style._layers[Q[this.currentLayer]],Tt=ee[ot.source],Kt=le[ot.source];this._renderTileClippingMasks(ot,Kt),this.renderLayer(this,Tt,ot,Kt)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<Q.length;this.currentLayer++){let ot=this.style._layers[Q[this.currentLayer]],Tt=ee[ot.source];if(this.renderToTexture&&this.renderToTexture.renderLayer(ot))continue;let Kt=(ot.type===\"symbol\"?Xe:qe)[ot.source];this._renderTileClippingMasks(ot,le[ot.source]),this.renderLayer(this,Tt,ot,Kt)}if(this.options.showTileBoundaries){let ot=function(Tt,Kt){let Jt=null,xr=Object.values(Tt._layers).flatMap(Re=>Re.source&&!Re.isHidden(Kt)?[Tt.sourceCaches[Re.source]]:[]),Pr=xr.filter(Re=>Re.getSource().type===\"vector\"),ve=xr.filter(Re=>Re.getSource().type!==\"vector\"),be=Re=>{(!Jt||Jt.getSource().maxzoom<Re.getSource().maxzoom)&&(Jt=Re)};return Pr.forEach(Re=>be(Re)),Jt||ve.forEach(Re=>be(Re)),Jt}(this.style,this.transform.zoom);ot&&function(Tt,Kt,Jt){for(let xr=0;xr<Jt.length;xr++)ih(Tt,Kt,Jt[xr])}(this,ot,ot.getVisibleCoordinates())}this.options.showPadding&&function(ot){let Tt=ot.transform.padding;sf(ot,ot.transform.height-(Tt.top||0),3,Rc),sf(ot,Tt.bottom||0,3,ms),xh(ot,Tt.left||0,3,jf),xh(ot,ot.transform.width-(Tt.right||0),3,Uh);let Kt=ot.transform.centerPoint;(function(Jt,xr,Pr,ve){Mu(Jt,xr-1,Pr-10,2,20,ve),Mu(Jt,xr-10,Pr-1,20,2,ve)})(ot,Kt.x,ot.transform.height-Kt.y,rh)}(this),this.context.setDefault()}maybeDrawDepthAndCoords(w){if(!this.style||!this.style.map||!this.style.map.terrain)return;let B=this.terrainFacilitator.matrix,Q=this.transform.modelViewProjectionMatrix,ee=this.terrainFacilitator.dirty;ee||(ee=w?!a.a_(B,Q):!a.a$(B,Q)),ee||(ee=this.style.map.terrain.sourceCache.tilesAfterTime(this.terrainFacilitator.renderTime).length>0),ee&&(a.b0(B,Q),this.terrainFacilitator.renderTime=Date.now(),this.terrainFacilitator.dirty=!1,function(le,qe){let Xe=le.context,ot=Xe.gl,Tt=Bs.unblended,Kt=new Po(ot.LEQUAL,Po.ReadWrite,[0,1]),Jt=qe.getTerrainMesh(),xr=qe.sourceCache.getRenderableTiles(),Pr=le.useProgram(\"terrainDepth\");Xe.bindFramebuffer.set(qe.getFramebuffer(\"depth\").framebuffer),Xe.viewport.set([0,0,le.width/devicePixelRatio,le.height/devicePixelRatio]),Xe.clear({color:a.aM.transparent,depth:1});for(let ve of xr){let be=qe.getTerrainData(ve.tileID),Re={u_matrix:le.transform.calculatePosMatrix(ve.tileID.toUnwrapped()),u_ele_delta:qe.getMeshFrameDelta(le.transform.zoom)};Pr.draw(Xe,ot.TRIANGLES,Kt,Yo.disabled,Tt,Pa.backCCW,Re,be,\"terrain\",Jt.vertexBuffer,Jt.indexBuffer,Jt.segments)}Xe.bindFramebuffer.set(null),Xe.viewport.set([0,0,le.width,le.height])}(this,this.style.map.terrain),function(le,qe){let Xe=le.context,ot=Xe.gl,Tt=Bs.unblended,Kt=new Po(ot.LEQUAL,Po.ReadWrite,[0,1]),Jt=qe.getTerrainMesh(),xr=qe.getCoordsTexture(),Pr=qe.sourceCache.getRenderableTiles(),ve=le.useProgram(\"terrainCoords\");Xe.bindFramebuffer.set(qe.getFramebuffer(\"coords\").framebuffer),Xe.viewport.set([0,0,le.width/devicePixelRatio,le.height/devicePixelRatio]),Xe.clear({color:a.aM.transparent,depth:1}),qe.coordsIndex=[];for(let be of Pr){let Re=qe.getTerrainData(be.tileID);Xe.activeTexture.set(ot.TEXTURE0),ot.bindTexture(ot.TEXTURE_2D,xr.texture);let Be={u_matrix:le.transform.calculatePosMatrix(be.tileID.toUnwrapped()),u_terrain_coords_id:(255-qe.coordsIndex.length)/255,u_texture:0,u_ele_delta:qe.getMeshFrameDelta(le.transform.zoom)};ve.draw(Xe,ot.TRIANGLES,Kt,Yo.disabled,Tt,Pa.backCCW,Be,Re,\"terrain\",Jt.vertexBuffer,Jt.indexBuffer,Jt.segments),qe.coordsIndex.push(be.tileID.key)}Xe.bindFramebuffer.set(null),Xe.viewport.set([0,0,le.width,le.height])}(this,this.style.map.terrain))}renderLayer(w,B,Q,ee){if(!Q.isHidden(this.transform.zoom)&&(Q.type===\"background\"||Q.type===\"custom\"||(ee||[]).length))switch(this.id=Q.id,Q.type){case\"symbol\":(function(le,qe,Xe,ot,Tt){if(le.renderPass!==\"translucent\")return;let Kt=Yo.disabled,Jt=le.colorModeForRenderPass();(Xe._unevaluatedLayout.hasValue(\"text-variable-anchor\")||Xe._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"))&&function(xr,Pr,ve,be,Re,Be,tt,We,it){let Dt=Pr.transform,Ht=yn(),rr=Re===\"map\",dr=Be===\"map\";for(let Sr of xr){let Or=be.getTile(Sr),jr=Or.getBucket(ve);if(!jr||!jr.text||!jr.text.segments.get().length)continue;let ii=a.ag(jr.textSizeData,Dt.zoom),Li=Pn(Or,1,Pr.transform.zoom),un=Wr(Sr.posMatrix,dr,rr,Pr.transform,Li),sn=ve.layout.get(\"icon-text-fit\")!==\"none\"&&jr.hasIconData();if(ii){let In=Math.pow(2,Dt.zoom-Or.tileID.overscaledZ),Kn=Pr.style.map.terrain?(fa,$a)=>Pr.style.map.terrain.getElevation(Sr,fa,$a):null,Aa=Ht.translatePosition(Dt,Or,tt,We);mf(jr,rr,dr,it,Dt,un,Sr.posMatrix,In,ii,sn,Ht,Aa,Sr.toUnwrapped(),Kn)}}}(ot,le,Xe,qe,Xe.layout.get(\"text-rotation-alignment\"),Xe.layout.get(\"text-pitch-alignment\"),Xe.paint.get(\"text-translate\"),Xe.paint.get(\"text-translate-anchor\"),Tt),Xe.paint.get(\"icon-opacity\").constantOr(1)!==0&&_h(le,qe,Xe,ot,!1,Xe.paint.get(\"icon-translate\"),Xe.paint.get(\"icon-translate-anchor\"),Xe.layout.get(\"icon-rotation-alignment\"),Xe.layout.get(\"icon-pitch-alignment\"),Xe.layout.get(\"icon-keep-upright\"),Kt,Jt),Xe.paint.get(\"text-opacity\").constantOr(1)!==0&&_h(le,qe,Xe,ot,!0,Xe.paint.get(\"text-translate\"),Xe.paint.get(\"text-translate-anchor\"),Xe.layout.get(\"text-rotation-alignment\"),Xe.layout.get(\"text-pitch-alignment\"),Xe.layout.get(\"text-keep-upright\"),Kt,Jt),qe.map.showCollisionBoxes&&(Hu(le,qe,Xe,ot,!0),Hu(le,qe,Xe,ot,!1))})(w,B,Q,ee,this.style.placement.variableOffsets);break;case\"circle\":(function(le,qe,Xe,ot){if(le.renderPass!==\"translucent\")return;let Tt=Xe.paint.get(\"circle-opacity\"),Kt=Xe.paint.get(\"circle-stroke-width\"),Jt=Xe.paint.get(\"circle-stroke-opacity\"),xr=!Xe.layout.get(\"circle-sort-key\").isConstant();if(Tt.constantOr(1)===0&&(Kt.constantOr(1)===0||Jt.constantOr(1)===0))return;let Pr=le.context,ve=Pr.gl,be=le.depthModeForSublayer(0,Po.ReadOnly),Re=Yo.disabled,Be=le.colorModeForRenderPass(),tt=[];for(let We=0;We<ot.length;We++){let it=ot[We],Dt=qe.getTile(it),Ht=Dt.getBucket(Xe);if(!Ht)continue;let rr=Ht.programConfigurations.get(Xe.id),dr=le.useProgram(\"circle\",rr),Sr=Ht.layoutVertexBuffer,Or=Ht.indexBuffer,jr=le.style.map.terrain&&le.style.map.terrain.getTerrainData(it),ii={programConfiguration:rr,program:dr,layoutVertexBuffer:Sr,indexBuffer:Or,uniformValues:_o(le,it,Dt,Xe),terrainData:jr};if(xr){let Li=Ht.segments.get();for(let un of Li)tt.push({segments:new a.a0([un]),sortKey:un.sortKey,state:ii})}else tt.push({segments:Ht.segments,sortKey:0,state:ii})}xr&&tt.sort((We,it)=>We.sortKey-it.sortKey);for(let We of tt){let{programConfiguration:it,program:Dt,layoutVertexBuffer:Ht,indexBuffer:rr,uniformValues:dr,terrainData:Sr}=We.state;Dt.draw(Pr,ve.TRIANGLES,be,Re,Be,Pa.disabled,dr,Sr,Xe.id,Ht,rr,We.segments,Xe.paint,le.transform.zoom,it)}})(w,B,Q,ee);break;case\"heatmap\":(function(le,qe,Xe,ot){if(Xe.paint.get(\"heatmap-opacity\")===0)return;let Tt=le.context;if(le.style.map.terrain){for(let Kt of ot){let Jt=qe.getTile(Kt);qe.hasRenderableParent(Kt)||(le.renderPass===\"offscreen\"?yf(le,Jt,Xe,Kt):le.renderPass===\"translucent\"&&Yc(le,Xe,Kt))}Tt.viewport.set([0,0,le.width,le.height])}else le.renderPass===\"offscreen\"?function(Kt,Jt,xr,Pr){let ve=Kt.context,be=ve.gl,Re=Yo.disabled,Be=new Bs([be.ONE,be.ONE],a.aM.transparent,[!0,!0,!0,!0]);(function(tt,We,it){let Dt=tt.gl;tt.activeTexture.set(Dt.TEXTURE1),tt.viewport.set([0,0,We.width/4,We.height/4]);let Ht=it.heatmapFbos.get(a.aU);Ht?(Dt.bindTexture(Dt.TEXTURE_2D,Ht.colorAttachment.get()),tt.bindFramebuffer.set(Ht.framebuffer)):(Ht=eh(tt,We.width/4,We.height/4),it.heatmapFbos.set(a.aU,Ht))})(ve,Kt,xr),ve.clear({color:a.aM.transparent});for(let tt=0;tt<Pr.length;tt++){let We=Pr[tt];if(Jt.hasRenderableParent(We))continue;let it=Jt.getTile(We),Dt=it.getBucket(xr);if(!Dt)continue;let Ht=Dt.programConfigurations.get(xr.id),rr=Kt.useProgram(\"heatmap\",Ht),{zoom:dr}=Kt.transform;rr.draw(ve,be.TRIANGLES,Po.disabled,Re,Be,Pa.disabled,Co(We.posMatrix,it,dr,xr.paint.get(\"heatmap-intensity\")),null,xr.id,Dt.layoutVertexBuffer,Dt.indexBuffer,Dt.segments,xr.paint,Kt.transform.zoom,Ht)}ve.viewport.set([0,0,Kt.width,Kt.height])}(le,qe,Xe,ot):le.renderPass===\"translucent\"&&function(Kt,Jt){let xr=Kt.context,Pr=xr.gl;xr.setColorMode(Kt.colorModeForRenderPass());let ve=Jt.heatmapFbos.get(a.aU);ve&&(xr.activeTexture.set(Pr.TEXTURE0),Pr.bindTexture(Pr.TEXTURE_2D,ve.colorAttachment.get()),xr.activeTexture.set(Pr.TEXTURE1),th(xr,Jt).bind(Pr.LINEAR,Pr.CLAMP_TO_EDGE),Kt.useProgram(\"heatmapTexture\").draw(xr,Pr.TRIANGLES,Po.disabled,Yo.disabled,Kt.colorModeForRenderPass(),Pa.disabled,Fs(Kt,Jt,0,1),null,Jt.id,Kt.viewportBuffer,Kt.quadTriangleIndexBuffer,Kt.viewportSegments,Jt.paint,Kt.transform.zoom))}(le,Xe)})(w,B,Q,ee);break;case\"line\":(function(le,qe,Xe,ot){if(le.renderPass!==\"translucent\")return;let Tt=Xe.paint.get(\"line-opacity\"),Kt=Xe.paint.get(\"line-width\");if(Tt.constantOr(1)===0||Kt.constantOr(1)===0)return;let Jt=le.depthModeForSublayer(0,Po.ReadOnly),xr=le.colorModeForRenderPass(),Pr=Xe.paint.get(\"line-dasharray\"),ve=Xe.paint.get(\"line-pattern\"),be=ve.constantOr(1),Re=Xe.paint.get(\"line-gradient\"),Be=Xe.getCrossfadeParameters(),tt=be?\"linePattern\":Pr?\"lineSDF\":Re?\"lineGradient\":\"line\",We=le.context,it=We.gl,Dt=!0;for(let Ht of ot){let rr=qe.getTile(Ht);if(be&&!rr.patternsLoaded())continue;let dr=rr.getBucket(Xe);if(!dr)continue;let Sr=dr.programConfigurations.get(Xe.id),Or=le.context.program.get(),jr=le.useProgram(tt,Sr),ii=Dt||jr.program!==Or,Li=le.style.map.terrain&&le.style.map.terrain.getTerrainData(Ht),un=ve.constantOr(null);if(un&&rr.imageAtlas){let Kn=rr.imageAtlas,Aa=Kn.patternPositions[un.to.toString()],fa=Kn.patternPositions[un.from.toString()];Aa&&fa&&Sr.setConstantPatternPositions(Aa,fa)}let sn=Li?Ht:null,In=be?Fl(le,rr,Xe,Be,sn):Pr?cs(le,rr,Xe,Pr,Be,sn):Re?cl(le,rr,Xe,dr.lineClipsArray.length,sn):ul(le,rr,Xe,sn);if(be)We.activeTexture.set(it.TEXTURE0),rr.imageAtlasTexture.bind(it.LINEAR,it.CLAMP_TO_EDGE),Sr.updatePaintBuffers(Be);else if(Pr&&(ii||le.lineAtlas.dirty))We.activeTexture.set(it.TEXTURE0),le.lineAtlas.bind(We);else if(Re){let Kn=dr.gradients[Xe.id],Aa=Kn.texture;if(Xe.gradientVersion!==Kn.version){let fa=256;if(Xe.stepInterpolant){let $a=qe.getSource().maxzoom,ko=Ht.canonical.z===$a?Math.ceil(1<<le.transform.maxZoom-Ht.canonical.z):1;fa=a.ac(a.aV(dr.maxLineLength/a.X*1024*ko),256,We.maxTextureSize)}Kn.gradient=a.aW({expression:Xe.gradientExpression(),evaluationKey:\"lineProgress\",resolution:fa,image:Kn.gradient||void 0,clips:dr.lineClipsArray}),Kn.texture?Kn.texture.update(Kn.gradient):Kn.texture=new g(We,Kn.gradient,it.RGBA),Kn.version=Xe.gradientVersion,Aa=Kn.texture}We.activeTexture.set(it.TEXTURE0),Aa.bind(Xe.stepInterpolant?it.NEAREST:it.LINEAR,it.CLAMP_TO_EDGE)}jr.draw(We,it.TRIANGLES,Jt,le.stencilModeForClipping(Ht),xr,Pa.disabled,In,Li,Xe.id,dr.layoutVertexBuffer,dr.indexBuffer,dr.segments,Xe.paint,le.transform.zoom,Sr,dr.layoutVertexBuffer2),Dt=!1}})(w,B,Q,ee);break;case\"fill\":(function(le,qe,Xe,ot){let Tt=Xe.paint.get(\"fill-color\"),Kt=Xe.paint.get(\"fill-opacity\");if(Kt.constantOr(1)===0)return;let Jt=le.colorModeForRenderPass(),xr=Xe.paint.get(\"fill-pattern\"),Pr=le.opaquePassEnabledForLayer()&&!xr.constantOr(1)&&Tt.constantOr(a.aM.transparent).a===1&&Kt.constantOr(0)===1?\"opaque\":\"translucent\";if(le.renderPass===Pr){let ve=le.depthModeForSublayer(1,le.renderPass===\"opaque\"?Po.ReadWrite:Po.ReadOnly);Hf(le,qe,Xe,ot,ve,Jt,!1)}if(le.renderPass===\"translucent\"&&Xe.paint.get(\"fill-antialias\")){let ve=le.depthModeForSublayer(Xe.getPaintProperty(\"fill-outline-color\")?2:0,Po.ReadOnly);Hf(le,qe,Xe,ot,ve,Jt,!0)}})(w,B,Q,ee);break;case\"fill-extrusion\":(function(le,qe,Xe,ot){let Tt=Xe.paint.get(\"fill-extrusion-opacity\");if(Tt!==0&&le.renderPass===\"translucent\"){let Kt=new Po(le.context.gl.LEQUAL,Po.ReadWrite,le.depthRangeFor3D);if(Tt!==1||Xe.paint.get(\"fill-extrusion-pattern\").constantOr(1))cc(le,qe,Xe,ot,Kt,Yo.disabled,Bs.disabled),cc(le,qe,Xe,ot,Kt,le.stencilModeFor3D(),le.colorModeForRenderPass());else{let Jt=le.colorModeForRenderPass();cc(le,qe,Xe,ot,Kt,Yo.disabled,Jt)}}})(w,B,Q,ee);break;case\"hillshade\":(function(le,qe,Xe,ot){if(le.renderPass!==\"offscreen\"&&le.renderPass!==\"translucent\")return;let Tt=le.context,Kt=le.depthModeForSublayer(0,Po.ReadOnly),Jt=le.colorModeForRenderPass(),[xr,Pr]=le.renderPass===\"translucent\"?le.stencilConfigForOverlap(ot):[{},ot];for(let ve of Pr){let be=qe.getTile(ve);be.needsHillshadePrepare!==void 0&&be.needsHillshadePrepare&&le.renderPass===\"offscreen\"?Bl(le,be,Xe,Kt,Yo.disabled,Jt):le.renderPass===\"translucent\"&&of(le,ve,be,Xe,Kt,xr[ve.overscaledZ],Jt)}Tt.viewport.set([0,0,le.width,le.height])})(w,B,Q,ee);break;case\"raster\":(function(le,qe,Xe,ot){if(le.renderPass!==\"translucent\"||Xe.paint.get(\"raster-opacity\")===0||!ot.length)return;let Tt=le.context,Kt=Tt.gl,Jt=qe.getSource(),xr=le.useProgram(\"raster\"),Pr=le.colorModeForRenderPass(),[ve,be]=Jt instanceof Gt?[{},ot]:le.stencilConfigForOverlap(ot),Re=be[be.length-1].overscaledZ,Be=!le.options.moving;for(let tt of be){let We=le.depthModeForSublayer(tt.overscaledZ-Re,Xe.paint.get(\"raster-opacity\")===1?Po.ReadWrite:Po.ReadOnly,Kt.LESS),it=qe.getTile(tt);it.registerFadeDuration(Xe.paint.get(\"raster-fade-duration\"));let Dt=qe.findLoadedParent(tt,0),Ht=qe.findLoadedSibling(tt),rr=Kc(it,Dt||Ht||null,qe,Xe,le.transform,le.style.map.terrain),dr,Sr,Or=Xe.paint.get(\"raster-resampling\")===\"nearest\"?Kt.NEAREST:Kt.LINEAR;Tt.activeTexture.set(Kt.TEXTURE0),it.texture.bind(Or,Kt.CLAMP_TO_EDGE,Kt.LINEAR_MIPMAP_NEAREST),Tt.activeTexture.set(Kt.TEXTURE1),Dt?(Dt.texture.bind(Or,Kt.CLAMP_TO_EDGE,Kt.LINEAR_MIPMAP_NEAREST),dr=Math.pow(2,Dt.tileID.overscaledZ-it.tileID.overscaledZ),Sr=[it.tileID.canonical.x*dr%1,it.tileID.canonical.y*dr%1]):it.texture.bind(Or,Kt.CLAMP_TO_EDGE,Kt.LINEAR_MIPMAP_NEAREST),it.texture.useMipmap&&Tt.extTextureFilterAnisotropic&&le.transform.pitch>20&&Kt.texParameterf(Kt.TEXTURE_2D,Tt.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,Tt.extTextureFilterAnisotropicMax);let jr=le.style.map.terrain&&le.style.map.terrain.getTerrainData(tt),ii=jr?tt:null,Li=ii?ii.posMatrix:le.transform.calculatePosMatrix(tt.toUnwrapped(),Be),un=fl(Li,Sr||[0,0],dr||1,rr,Xe);Jt instanceof Gt?xr.draw(Tt,Kt.TRIANGLES,We,Yo.disabled,Pr,Pa.disabled,un,jr,Xe.id,Jt.boundsBuffer,le.quadTriangleIndexBuffer,Jt.boundsSegments):xr.draw(Tt,Kt.TRIANGLES,We,ve[tt.overscaledZ],Pr,Pa.disabled,un,jr,Xe.id,le.rasterBoundsBuffer,le.quadTriangleIndexBuffer,le.rasterBoundsSegments)}})(w,B,Q,ee);break;case\"background\":(function(le,qe,Xe,ot){let Tt=Xe.paint.get(\"background-color\"),Kt=Xe.paint.get(\"background-opacity\");if(Kt===0)return;let Jt=le.context,xr=Jt.gl,Pr=le.transform,ve=Pr.tileSize,be=Xe.paint.get(\"background-pattern\");if(le.isPatternMissing(be))return;let Re=!be&&Tt.a===1&&Kt===1&&le.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(le.renderPass!==Re)return;let Be=Yo.disabled,tt=le.depthModeForSublayer(0,Re===\"opaque\"?Po.ReadWrite:Po.ReadOnly),We=le.colorModeForRenderPass(),it=le.useProgram(be?\"backgroundPattern\":\"background\"),Dt=ot||Pr.coveringTiles({tileSize:ve,terrain:le.style.map.terrain});be&&(Jt.activeTexture.set(xr.TEXTURE0),le.imageManager.bind(le.context));let Ht=Xe.getCrossfadeParameters();for(let rr of Dt){let dr=ot?rr.posMatrix:le.transform.calculatePosMatrix(rr.toUnwrapped()),Sr=be?Su(dr,Kt,le,be,{tileID:rr,tileSize:ve},Ht):Zl(dr,Kt,Tt),Or=le.style.map.terrain&&le.style.map.terrain.getTerrainData(rr);it.draw(Jt,xr.TRIANGLES,tt,Be,We,Pa.disabled,Sr,Or,Xe.id,le.tileExtentBuffer,le.quadTriangleIndexBuffer,le.tileExtentSegments)}})(w,0,Q,ee);break;case\"custom\":(function(le,qe,Xe){let ot=le.context,Tt=Xe.implementation;if(le.renderPass===\"offscreen\"){let Kt=Tt.prerender;Kt&&(le.setCustomLayerDefaults(),ot.setColorMode(le.colorModeForRenderPass()),Kt.call(Tt,ot.gl,le.transform.customLayerMatrix()),ot.setDirty(),le.setBaseState())}else if(le.renderPass===\"translucent\"){le.setCustomLayerDefaults(),ot.setColorMode(le.colorModeForRenderPass()),ot.setStencilMode(Yo.disabled);let Kt=Tt.renderingMode===\"3d\"?new Po(le.context.gl.LEQUAL,Po.ReadWrite,le.depthRangeFor3D):le.depthModeForSublayer(0,Po.ReadOnly);ot.setDepthMode(Kt),Tt.render(ot.gl,le.transform.customLayerMatrix(),{farZ:le.transform.farZ,nearZ:le.transform.nearZ,fov:le.transform._fov,modelViewProjectionMatrix:le.transform.modelViewProjectionMatrix,projectionMatrix:le.transform.projectionMatrix}),ot.setDirty(),le.setBaseState(),ot.bindFramebuffer.set(null)}})(w,0,Q)}}translatePosMatrix(w,B,Q,ee,le){if(!Q[0]&&!Q[1])return w;let qe=le?ee===\"map\"?this.transform.angle:0:ee===\"viewport\"?-this.transform.angle:0;if(qe){let Tt=Math.sin(qe),Kt=Math.cos(qe);Q=[Q[0]*Kt-Q[1]*Tt,Q[0]*Tt+Q[1]*Kt]}let Xe=[le?Q[0]:Pn(B,Q[0],this.transform.zoom),le?Q[1]:Pn(B,Q[1],this.transform.zoom),0],ot=new Float32Array(16);return a.J(ot,w,Xe),ot}saveTileTexture(w){let B=this._tileTextures[w.size[0]];B?B.push(w):this._tileTextures[w.size[0]]=[w]}getTileTexture(w){let B=this._tileTextures[w];return B&&B.length>0?B.pop():null}isPatternMissing(w){if(!w)return!1;if(!w.from||!w.to)return!0;let B=this.imageManager.getPattern(w.from.toString()),Q=this.imageManager.getPattern(w.to.toString());return!B||!Q}useProgram(w,B){this.cache=this.cache||{};let Q=w+(B?B.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\")+(this.style.map.terrain?\"/terrain\":\"\");return this.cache[Q]||(this.cache[Q]=new fn(this.context,jn[w],B,nc[w],this._showOverdrawInspector,this.style.map.terrain)),this.cache[Q]}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(){let w=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(w.FUNC_ADD)}initDebugOverlayCanvas(){this.debugOverlayCanvas==null&&(this.debugOverlayCanvas=document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512,this.debugOverlayTexture=new g(this.context,this.debugOverlayCanvas,this.context.gl.RGBA))}destroy(){this.debugOverlayTexture&&this.debugOverlayTexture.destroy()}overLimit(){let{drawingBufferWidth:w,drawingBufferHeight:B}=this.context.gl;return this.width!==w||this.height!==B}}class ks{constructor(w,B){this.points=w,this.planes=B}static fromInvProjectionMatrix(w,B,Q){let ee=Math.pow(2,Q),le=[[-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(Xe=>{let ot=1/(Xe=a.af([],Xe,w))[3]/B*ee;return a.b1(Xe,Xe,[ot,ot,1/Xe[3],ot])}),qe=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map(Xe=>{let ot=function(xr,Pr){var ve=Pr[0],be=Pr[1],Re=Pr[2],Be=ve*ve+be*be+Re*Re;return Be>0&&(Be=1/Math.sqrt(Be)),xr[0]=Pr[0]*Be,xr[1]=Pr[1]*Be,xr[2]=Pr[2]*Be,xr}([],function(xr,Pr,ve){var be=Pr[0],Re=Pr[1],Be=Pr[2],tt=ve[0],We=ve[1],it=ve[2];return xr[0]=Re*it-Be*We,xr[1]=Be*tt-be*it,xr[2]=be*We-Re*tt,xr}([],L([],le[Xe[0]],le[Xe[1]]),L([],le[Xe[2]],le[Xe[1]]))),Tt=-((Kt=ot)[0]*(Jt=le[Xe[1]])[0]+Kt[1]*Jt[1]+Kt[2]*Jt[2]);var Kt,Jt;return ot.concat(Tt)});return new ks(le,qe)}}class bc{constructor(w,B){this.min=w,this.max=B,this.center=function(Q,ee,le){return Q[0]=.5*ee[0],Q[1]=.5*ee[1],Q[2]=.5*ee[2],Q}([],function(Q,ee,le){return Q[0]=ee[0]+le[0],Q[1]=ee[1]+le[1],Q[2]=ee[2]+le[2],Q}([],this.min,this.max))}quadrant(w){let B=[w%2==0,w<2],Q=E(this.min),ee=E(this.max);for(let le=0;le<B.length;le++)Q[le]=B[le]?this.min[le]:this.center[le],ee[le]=B[le]?this.center[le]:this.max[le];return ee[2]=this.max[2],new bc(Q,ee)}distanceX(w){return Math.max(Math.min(this.max[0],w[0]),this.min[0])-w[0]}distanceY(w){return Math.max(Math.min(this.max[1],w[1]),this.min[1])-w[1]}intersects(w){let B=[[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]],Q=!0;for(let ee=0;ee<w.planes.length;ee++){let le=w.planes[ee],qe=0;for(let Xe=0;Xe<B.length;Xe++)a.b2(le,B[Xe])>=0&&qe++;if(qe===0)return 0;qe!==B.length&&(Q=!1)}if(Q)return 2;for(let ee=0;ee<3;ee++){let le=Number.MAX_VALUE,qe=-Number.MAX_VALUE;for(let Xe=0;Xe<w.points.length;Xe++){let ot=w.points[Xe][ee]-this.min[ee];le=Math.min(le,ot),qe=Math.max(qe,ot)}if(qe<0||le>this.max[ee]-this.min[ee])return 0}return 1}}class du{constructor(w=0,B=0,Q=0,ee=0){if(isNaN(w)||w<0||isNaN(B)||B<0||isNaN(Q)||Q<0||isNaN(ee)||ee<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=w,this.bottom=B,this.left=Q,this.right=ee}interpolate(w,B,Q){return B.top!=null&&w.top!=null&&(this.top=a.y.number(w.top,B.top,Q)),B.bottom!=null&&w.bottom!=null&&(this.bottom=a.y.number(w.bottom,B.bottom,Q)),B.left!=null&&w.left!=null&&(this.left=a.y.number(w.left,B.left,Q)),B.right!=null&&w.right!=null&&(this.right=a.y.number(w.right,B.right,Q)),this}getCenter(w,B){let Q=a.ac((this.left+w-this.right)/2,0,w),ee=a.ac((this.top+B-this.bottom)/2,0,B);return new a.P(Q,ee)}equals(w){return this.top===w.top&&this.bottom===w.bottom&&this.left===w.left&&this.right===w.right}clone(){return new du(this.top,this.bottom,this.left,this.right)}toJSON(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}}}let _u=85.051129;class al{constructor(w,B,Q,ee,le){this.tileSize=512,this._renderWorldCopies=le===void 0||!!le,this._minZoom=w||0,this._maxZoom=B||22,this._minPitch=Q==null?0:Q,this._maxPitch=ee==null?60:ee,this.setMaxBounds(),this.width=0,this.height=0,this._center=new a.N(0,0),this._elevation=0,this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new du,this._posMatrixCache={},this._alignedPosMatrixCache={},this._fogMatrixCache={},this.minElevationForCurrentTile=0}clone(){let w=new al(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return w.apply(this),w}apply(w){this.tileSize=w.tileSize,this.latRange=w.latRange,this.lngRange=w.lngRange,this.width=w.width,this.height=w.height,this._center=w._center,this._elevation=w._elevation,this.minElevationForCurrentTile=w.minElevationForCurrentTile,this.zoom=w.zoom,this.angle=w.angle,this._fov=w._fov,this._pitch=w._pitch,this._unmodified=w._unmodified,this._edgeInsets=w._edgeInsets.clone(),this._calcMatrices()}get minZoom(){return this._minZoom}set minZoom(w){this._minZoom!==w&&(this._minZoom=w,this.zoom=Math.max(this.zoom,w))}get maxZoom(){return this._maxZoom}set maxZoom(w){this._maxZoom!==w&&(this._maxZoom=w,this.zoom=Math.min(this.zoom,w))}get minPitch(){return this._minPitch}set minPitch(w){this._minPitch!==w&&(this._minPitch=w,this.pitch=Math.max(this.pitch,w))}get maxPitch(){return this._maxPitch}set maxPitch(w){this._maxPitch!==w&&(this._maxPitch=w,this.pitch=Math.min(this.pitch,w))}get renderWorldCopies(){return this._renderWorldCopies}set renderWorldCopies(w){w===void 0?w=!0:w===null&&(w=!1),this._renderWorldCopies=w}get worldSize(){return this.tileSize*this.scale}get centerOffset(){return this.centerPoint._sub(this.size._div(2))}get size(){return new a.P(this.width,this.height)}get bearing(){return-this.angle/Math.PI*180}set bearing(w){let B=-a.b3(w,-180,180)*Math.PI/180;this.angle!==B&&(this._unmodified=!1,this.angle=B,this._calcMatrices(),this.rotationMatrix=function(){var Q=new a.A(4);return a.A!=Float32Array&&(Q[1]=0,Q[2]=0),Q[0]=1,Q[3]=1,Q}(),function(Q,ee,le){var qe=ee[0],Xe=ee[1],ot=ee[2],Tt=ee[3],Kt=Math.sin(le),Jt=Math.cos(le);Q[0]=qe*Jt+ot*Kt,Q[1]=Xe*Jt+Tt*Kt,Q[2]=qe*-Kt+ot*Jt,Q[3]=Xe*-Kt+Tt*Jt}(this.rotationMatrix,this.rotationMatrix,this.angle))}get pitch(){return this._pitch/Math.PI*180}set pitch(w){let B=a.ac(w,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==B&&(this._unmodified=!1,this._pitch=B,this._calcMatrices())}get fov(){return this._fov/Math.PI*180}set fov(w){w=Math.max(.01,Math.min(60,w)),this._fov!==w&&(this._unmodified=!1,this._fov=w/180*Math.PI,this._calcMatrices())}get zoom(){return this._zoom}set zoom(w){let B=Math.min(Math.max(w,this.minZoom),this.maxZoom);this._zoom!==B&&(this._unmodified=!1,this._zoom=B,this.tileZoom=Math.max(0,Math.floor(B)),this.scale=this.zoomScale(B),this._constrain(),this._calcMatrices())}get center(){return this._center}set center(w){w.lat===this._center.lat&&w.lng===this._center.lng||(this._unmodified=!1,this._center=w,this._constrain(),this._calcMatrices())}get elevation(){return this._elevation}set elevation(w){w!==this._elevation&&(this._elevation=w,this._constrain(),this._calcMatrices())}get padding(){return this._edgeInsets.toJSON()}set padding(w){this._edgeInsets.equals(w)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,w,1),this._calcMatrices())}get centerPoint(){return this._edgeInsets.getCenter(this.width,this.height)}isPaddingEqual(w){return this._edgeInsets.equals(w)}interpolatePadding(w,B,Q){this._unmodified=!1,this._edgeInsets.interpolate(w,B,Q),this._constrain(),this._calcMatrices()}coveringZoomLevel(w){let B=(w.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/w.tileSize));return Math.max(0,B)}getVisibleUnwrappedCoordinates(w){let B=[new a.b4(0,w)];if(this._renderWorldCopies){let Q=this.pointCoordinate(new a.P(0,0)),ee=this.pointCoordinate(new a.P(this.width,0)),le=this.pointCoordinate(new a.P(this.width,this.height)),qe=this.pointCoordinate(new a.P(0,this.height)),Xe=Math.floor(Math.min(Q.x,ee.x,le.x,qe.x)),ot=Math.floor(Math.max(Q.x,ee.x,le.x,qe.x)),Tt=1;for(let Kt=Xe-Tt;Kt<=ot+Tt;Kt++)Kt!==0&&B.push(new a.b4(Kt,w))}return B}coveringTiles(w){var B,Q;let ee=this.coveringZoomLevel(w),le=ee;if(w.minzoom!==void 0&&ee<w.minzoom)return[];w.maxzoom!==void 0&&ee>w.maxzoom&&(ee=w.maxzoom);let qe=this.pointCoordinate(this.getCameraPoint()),Xe=a.Z.fromLngLat(this.center),ot=Math.pow(2,ee),Tt=[ot*qe.x,ot*qe.y,0],Kt=[ot*Xe.x,ot*Xe.y,0],Jt=ks.fromInvProjectionMatrix(this.invModelViewProjectionMatrix,this.worldSize,ee),xr=w.minzoom||0;!w.terrain&&this.pitch<=60&&this._edgeInsets.top<.1&&(xr=ee);let Pr=w.terrain?2/Math.min(this.tileSize,w.tileSize)*this.tileSize:3,ve=We=>({aabb:new bc([We*ot,0,0],[(We+1)*ot,ot,0]),zoom:0,x:0,y:0,wrap:We,fullyVisible:!1}),be=[],Re=[],Be=ee,tt=w.reparseOverscaled?le:ee;if(this._renderWorldCopies)for(let We=1;We<=3;We++)be.push(ve(-We)),be.push(ve(We));for(be.push(ve(0));be.length>0;){let We=be.pop(),it=We.x,Dt=We.y,Ht=We.fullyVisible;if(!Ht){let jr=We.aabb.intersects(Jt);if(jr===0)continue;Ht=jr===2}let rr=w.terrain?Tt:Kt,dr=We.aabb.distanceX(rr),Sr=We.aabb.distanceY(rr),Or=Math.max(Math.abs(dr),Math.abs(Sr));if(We.zoom===Be||Or>Pr+(1<<Be-We.zoom)-2&&We.zoom>=xr){let jr=Be-We.zoom,ii=Tt[0]-.5-(it<<jr),Li=Tt[1]-.5-(Dt<<jr);Re.push({tileID:new a.S(We.zoom===Be?tt:We.zoom,We.wrap,We.zoom,it,Dt),distanceSq:_([Kt[0]-.5-it,Kt[1]-.5-Dt]),tileDistanceToCamera:Math.sqrt(ii*ii+Li*Li)})}else for(let jr=0;jr<4;jr++){let ii=(it<<1)+jr%2,Li=(Dt<<1)+(jr>>1),un=We.zoom+1,sn=We.aabb.quadrant(jr);if(w.terrain){let In=new a.S(un,We.wrap,un,ii,Li),Kn=w.terrain.getMinMaxElevation(In),Aa=(B=Kn.minElevation)!==null&&B!==void 0?B:this.elevation,fa=(Q=Kn.maxElevation)!==null&&Q!==void 0?Q:this.elevation;sn=new bc([sn.min[0],sn.min[1],Aa],[sn.max[0],sn.max[1],fa])}be.push({aabb:sn,zoom:un,x:ii,y:Li,wrap:We.wrap,fullyVisible:Ht})}}return Re.sort((We,it)=>We.distanceSq-it.distanceSq).map(We=>We.tileID)}resize(w,B){this.width=w,this.height=B,this.pixelsToGLUnits=[2/w,-2/B],this._constrain(),this._calcMatrices()}get unmodified(){return this._unmodified}zoomScale(w){return Math.pow(2,w)}scaleZoom(w){return Math.log(w)/Math.LN2}project(w){let B=a.ac(w.lat,-85.051129,_u);return new a.P(a.O(w.lng)*this.worldSize,a.Q(B)*this.worldSize)}unproject(w){return new a.Z(w.x/this.worldSize,w.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(w){let B=this.elevation,Q=Math.cos(this._pitch)*this.cameraToCenterDistance/this._pixelPerMeter,ee=this.pointLocation(this.centerPoint,w),le=w.getElevationForLngLatZoom(ee,this.tileZoom);if(!(this.elevation-le))return;let qe=Q+B-le,Xe=Math.cos(this._pitch)*this.cameraToCenterDistance/qe/a.b5(1,ee.lat),ot=this.scaleZoom(Xe/this.tileSize);this._elevation=le,this._center=ee,this.zoom=ot}setLocationAtPoint(w,B){let Q=this.pointCoordinate(B),ee=this.pointCoordinate(this.centerPoint),le=this.locationCoordinate(w),qe=new a.Z(le.x-(Q.x-ee.x),le.y-(Q.y-ee.y));this.center=this.coordinateLocation(qe),this._renderWorldCopies&&(this.center=this.center.wrap())}locationPoint(w,B){return B?this.coordinatePoint(this.locationCoordinate(w),B.getElevationForLngLatZoom(w,this.tileZoom),this.pixelMatrix3D):this.coordinatePoint(this.locationCoordinate(w))}pointLocation(w,B){return this.coordinateLocation(this.pointCoordinate(w,B))}locationCoordinate(w){return a.Z.fromLngLat(w)}coordinateLocation(w){return w&&w.toLngLat()}pointCoordinate(w,B){if(B){let xr=B.pointCoordinate(w);if(xr!=null)return xr}let Q=[w.x,w.y,0,1],ee=[w.x,w.y,1,1];a.af(Q,Q,this.pixelMatrixInverse),a.af(ee,ee,this.pixelMatrixInverse);let le=Q[3],qe=ee[3],Xe=Q[1]/le,ot=ee[1]/qe,Tt=Q[2]/le,Kt=ee[2]/qe,Jt=Tt===Kt?0:(0-Tt)/(Kt-Tt);return new a.Z(a.y.number(Q[0]/le,ee[0]/qe,Jt)/this.worldSize,a.y.number(Xe,ot,Jt)/this.worldSize)}coordinatePoint(w,B=0,Q=this.pixelMatrix){let ee=[w.x*this.worldSize,w.y*this.worldSize,B,1];return a.af(ee,ee,Q),new a.P(ee[0]/ee[3],ee[1]/ee[3])}getBounds(){let w=Math.max(0,this.height/2-this.getHorizon());return new ce().extend(this.pointLocation(new a.P(0,w))).extend(this.pointLocation(new a.P(this.width,w))).extend(this.pointLocation(new a.P(this.width,this.height))).extend(this.pointLocation(new a.P(0,this.height)))}getMaxBounds(){return this.latRange&&this.latRange.length===2&&this.lngRange&&this.lngRange.length===2?new ce([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(w){w?(this.lngRange=[w.getWest(),w.getEast()],this.latRange=[w.getSouth(),w.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-85.051129,_u])}calculateTileMatrix(w){let B=w.canonical,Q=this.worldSize/this.zoomScale(B.z),ee=B.x+Math.pow(2,B.z)*w.wrap,le=a.an(new Float64Array(16));return a.J(le,le,[ee*Q,B.y*Q,0]),a.K(le,le,[Q/a.X,Q/a.X,1]),le}calculatePosMatrix(w,B=!1){let Q=w.key,ee=B?this._alignedPosMatrixCache:this._posMatrixCache;if(ee[Q])return ee[Q];let le=this.calculateTileMatrix(w);return a.L(le,B?this.alignedModelViewProjectionMatrix:this.modelViewProjectionMatrix,le),ee[Q]=new Float32Array(le),ee[Q]}calculateFogMatrix(w){let B=w.key,Q=this._fogMatrixCache;if(Q[B])return Q[B];let ee=this.calculateTileMatrix(w);return a.L(ee,this.fogMatrix,ee),Q[B]=new Float32Array(ee),Q[B]}customLayerMatrix(){return this.mercatorMatrix.slice()}getConstrained(w,B){B=a.ac(+B,this.minZoom,this.maxZoom);let Q={center:new a.N(w.lng,w.lat),zoom:B},ee=this.lngRange;if(!this._renderWorldCopies&&ee===null){let We=179.9999999999;ee=[-We,We]}let le=this.tileSize*this.zoomScale(Q.zoom),qe=0,Xe=le,ot=0,Tt=le,Kt=0,Jt=0,{x:xr,y:Pr}=this.size;if(this.latRange){let We=this.latRange;qe=a.Q(We[1])*le,Xe=a.Q(We[0])*le,Xe-qe<Pr&&(Kt=Pr/(Xe-qe))}ee&&(ot=a.b3(a.O(ee[0])*le,0,le),Tt=a.b3(a.O(ee[1])*le,0,le),Tt<ot&&(Tt+=le),Tt-ot<xr&&(Jt=xr/(Tt-ot)));let{x:ve,y:be}=this.project.call({worldSize:le},w),Re,Be,tt=Math.max(Jt||0,Kt||0);if(tt){let We=new a.P(Jt?(Tt+ot)/2:ve,Kt?(Xe+qe)/2:be);return Q.center=this.unproject.call({worldSize:le},We).wrap(),Q.zoom+=this.scaleZoom(tt),Q}if(this.latRange){let We=Pr/2;be-We<qe&&(Be=qe+We),be+We>Xe&&(Be=Xe-We)}if(ee){let We=(ot+Tt)/2,it=ve;this._renderWorldCopies&&(it=a.b3(ve,We-le/2,We+le/2));let Dt=xr/2;it-Dt<ot&&(Re=ot+Dt),it+Dt>Tt&&(Re=Tt-Dt)}if(Re!==void 0||Be!==void 0){let We=new a.P(Re!=null?Re:ve,Be!=null?Be:be);Q.center=this.unproject.call({worldSize:le},We).wrap()}return Q}_constrain(){if(!this.center||!this.width||!this.height||this._constraining)return;this._constraining=!0;let w=this._unmodified,{center:B,zoom:Q}=this.getConstrained(this.center,this.zoom);this.center=B,this.zoom=Q,this._unmodified=w,this._constraining=!1}_calcMatrices(){if(!this.height)return;let w=this.centerOffset,B=this.point.x,Q=this.point.y;this.cameraToCenterDistance=.5/Math.tan(this._fov/2)*this.height,this._pixelPerMeter=a.b5(1,this.center.lat)*this.worldSize;let ee=a.an(new Float64Array(16));a.K(ee,ee,[this.width/2,-this.height/2,1]),a.J(ee,ee,[1,-1,0]),this.labelPlaneMatrix=ee,ee=a.an(new Float64Array(16)),a.K(ee,ee,[1,-1,1]),a.J(ee,ee,[-1,-1,0]),a.K(ee,ee,[2/this.width,2/this.height,1]),this.glCoordMatrix=ee;let le=this.cameraToCenterDistance+this._elevation*this._pixelPerMeter/Math.cos(this._pitch),qe=Math.min(this.elevation,this.minElevationForCurrentTile),Xe=le-qe*this._pixelPerMeter/Math.cos(this._pitch),ot=qe<0?Xe:le,Tt=Math.PI/2+this._pitch,Kt=this._fov*(.5+w.y/this.height),Jt=Math.sin(Kt)*ot/Math.sin(a.ac(Math.PI-Tt-Kt,.01,Math.PI-.01)),xr=this.getHorizon(),Pr=2*Math.atan(xr/this.cameraToCenterDistance)*(.5+w.y/(2*xr)),ve=Math.sin(Pr)*ot/Math.sin(a.ac(Math.PI-Tt-Pr,.01,Math.PI-.01)),be=Math.min(Jt,ve);this.farZ=1.01*(Math.cos(Math.PI/2-this._pitch)*be+ot),this.nearZ=this.height/50,ee=new Float64Array(16),a.b6(ee,this._fov,this.width/this.height,this.nearZ,this.farZ),ee[8]=2*-w.x/this.width,ee[9]=2*w.y/this.height,this.projectionMatrix=a.ae(ee),a.K(ee,ee,[1,-1,1]),a.J(ee,ee,[0,0,-this.cameraToCenterDistance]),a.b7(ee,ee,this._pitch),a.ad(ee,ee,this.angle),a.J(ee,ee,[-B,-Q,0]),this.mercatorMatrix=a.K([],ee,[this.worldSize,this.worldSize,this.worldSize]),a.K(ee,ee,[1,1,this._pixelPerMeter]),this.pixelMatrix=a.L(new Float64Array(16),this.labelPlaneMatrix,ee),a.J(ee,ee,[0,0,-this.elevation]),this.modelViewProjectionMatrix=ee,this.invModelViewProjectionMatrix=a.as([],ee),this.fogMatrix=new Float64Array(16),a.b6(this.fogMatrix,this._fov,this.width/this.height,le,this.farZ),this.fogMatrix[8]=2*-w.x/this.width,this.fogMatrix[9]=2*w.y/this.height,a.K(this.fogMatrix,this.fogMatrix,[1,-1,1]),a.J(this.fogMatrix,this.fogMatrix,[0,0,-this.cameraToCenterDistance]),a.b7(this.fogMatrix,this.fogMatrix,this._pitch),a.ad(this.fogMatrix,this.fogMatrix,this.angle),a.J(this.fogMatrix,this.fogMatrix,[-B,-Q,0]),a.K(this.fogMatrix,this.fogMatrix,[1,1,this._pixelPerMeter]),a.J(this.fogMatrix,this.fogMatrix,[0,0,-this.elevation]),this.pixelMatrix3D=a.L(new Float64Array(16),this.labelPlaneMatrix,ee);let Re=this.width%2/2,Be=this.height%2/2,tt=Math.cos(this.angle),We=Math.sin(this.angle),it=B-Math.round(B)+tt*Re+We*Be,Dt=Q-Math.round(Q)+tt*Be+We*Re,Ht=new Float64Array(ee);if(a.J(Ht,Ht,[it>.5?it-1:it,Dt>.5?Dt-1:Dt,0]),this.alignedModelViewProjectionMatrix=Ht,ee=a.as(new Float64Array(16),this.pixelMatrix),!ee)throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=ee,this._posMatrixCache={},this._alignedPosMatrixCache={},this._fogMatrixCache={}}maxPitchScaleFactor(){if(!this.pixelMatrixInverse)return 1;let w=this.pointCoordinate(new a.P(0,0)),B=[w.x*this.worldSize,w.y*this.worldSize,0,1];return a.af(B,B,this.pixelMatrix)[3]/this.cameraToCenterDistance}getCameraPoint(){let w=Math.tan(this._pitch)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new a.P(0,w))}getCameraQueryGeometry(w){let B=this.getCameraPoint();if(w.length===1)return[w[0],B];{let Q=B.x,ee=B.y,le=B.x,qe=B.y;for(let Xe of w)Q=Math.min(Q,Xe.x),ee=Math.min(ee,Xe.y),le=Math.max(le,Xe.x),qe=Math.max(qe,Xe.y);return[new a.P(Q,ee),new a.P(le,ee),new a.P(le,qe),new a.P(Q,qe),new a.P(Q,ee)]}}lngLatToCameraDepth(w,B){let Q=this.locationCoordinate(w),ee=[Q.x*this.worldSize,Q.y*this.worldSize,B,1];return a.af(ee,ee,this.modelViewProjectionMatrix),ee[2]/ee[3]}}function nh(ue,w){let B,Q=!1,ee=null,le=null,qe=()=>{ee=null,Q&&(ue.apply(le,B),ee=setTimeout(qe,w),Q=!1)};return(...Xe)=>(Q=!0,le=this,B=Xe,ee||qe(),ee)}class bh{constructor(w){this._getCurrentHash=()=>{let B=window.location.hash.replace(\"#\",\"\");if(this._hashName){let Q;return B.split(\"&\").map(ee=>ee.split(\"=\")).forEach(ee=>{ee[0]===this._hashName&&(Q=ee)}),(Q&&Q[1]||\"\").split(\"/\")}return B.split(\"/\")},this._onHashChange=()=>{let B=this._getCurrentHash();if(B.length>=3&&!B.some(Q=>isNaN(Q))){let Q=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(B[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+B[2],+B[1]],zoom:+B[0],bearing:Q,pitch:+(B[4]||0)}),!0}return!1},this._updateHashUnthrottled=()=>{let B=window.location.href.replace(/(#.*)?$/,this.getHashString());window.history.replaceState(window.history.state,null,B)},this._removeHash=()=>{let B=this._getCurrentHash();if(B.length===0)return;let Q=B.join(\"/\"),ee=Q;ee.split(\"&\").length>0&&(ee=ee.split(\"&\")[0]),this._hashName&&(ee=`${this._hashName}=${Q}`);let le=window.location.hash.replace(ee,\"\");le.startsWith(\"#&\")?le=le.slice(0,1)+le.slice(2):le===\"#\"&&(le=\"\");let qe=window.location.href.replace(/(#.+)?$/,le);qe=qe.replace(\"&&\",\"&\"),window.history.replaceState(window.history.state,null,qe)},this._updateHash=nh(this._updateHashUnthrottled,300),this._hashName=w&&encodeURIComponent(w)}addTo(w){return this._map=w,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(w){let B=this._map.getCenter(),Q=Math.round(100*this._map.getZoom())/100,ee=Math.ceil((Q*Math.LN2+Math.log(512/360/.5))/Math.LN10),le=Math.pow(10,ee),qe=Math.round(B.lng*le)/le,Xe=Math.round(B.lat*le)/le,ot=this._map.getBearing(),Tt=this._map.getPitch(),Kt=\"\";if(Kt+=w?`/${qe}/${Xe}/${Q}`:`${Q}/${Xe}/${qe}`,(ot||Tt)&&(Kt+=\"/\"+Math.round(10*ot)/10),Tt&&(Kt+=`/${Math.round(Tt)}`),this._hashName){let Jt=this._hashName,xr=!1,Pr=window.location.hash.slice(1).split(\"&\").map(ve=>{let be=ve.split(\"=\")[0];return be===Jt?(xr=!0,`${be}=${Kt}`):ve}).filter(ve=>ve);return xr||Pr.push(`${Jt}=${Kt}`),`#${Pr.join(\"&\")}`}return`#${Kt}`}}let zu={linearity:.3,easing:a.b8(0,0,.3,1)},Fc=a.e({deceleration:2500,maxSpeed:1400},zu),wc=a.e({deceleration:20,maxSpeed:1400},zu),bd=a.e({deceleration:1e3,maxSpeed:360},zu),_f=a.e({deceleration:1e3,maxSpeed:90},zu);class Lf{constructor(w){this._map=w,this.clear()}clear(){this._inertiaBuffer=[]}record(w){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:u.now(),settings:w})}_drainInertiaBuffer(){let w=this._inertiaBuffer,B=u.now();for(;w.length>0&&B-w[0].time>160;)w.shift()}_onMoveEnd(w){if(this._drainInertiaBuffer(),this._inertiaBuffer.length<2)return;let B={zoom:0,bearing:0,pitch:0,pan:new a.P(0,0),pinchAround:void 0,around:void 0};for(let{settings:le}of this._inertiaBuffer)B.zoom+=le.zoomDelta||0,B.bearing+=le.bearingDelta||0,B.pitch+=le.pitchDelta||0,le.panDelta&&B.pan._add(le.panDelta),le.around&&(B.around=le.around),le.pinchAround&&(B.pinchAround=le.pinchAround);let Q=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,ee={};if(B.pan.mag()){let le=xf(B.pan.mag(),Q,a.e({},Fc,w||{}));ee.offset=B.pan.mult(le.amount/B.pan.mag()),ee.center=this._map.transform.center,Ou(ee,le)}if(B.zoom){let le=xf(B.zoom,Q,wc);ee.zoom=this._map.transform.zoom+le.amount,Ou(ee,le)}if(B.bearing){let le=xf(B.bearing,Q,bd);ee.bearing=this._map.transform.bearing+a.ac(le.amount,-179,179),Ou(ee,le)}if(B.pitch){let le=xf(B.pitch,Q,_f);ee.pitch=this._map.transform.pitch+le.amount,Ou(ee,le)}if(ee.zoom||ee.bearing){let le=B.pinchAround===void 0?B.around:B.pinchAround;ee.around=le?this._map.unproject(le):this._map.getCenter()}return this.clear(),a.e(ee,{noMoveStart:!0})}}function Ou(ue,w){(!ue.duration||ue.duration<w.duration)&&(ue.duration=w.duration,ue.easing=w.easing)}function xf(ue,w,B){let{maxSpeed:Q,linearity:ee,deceleration:le}=B,qe=a.ac(ue*ee/(w/1e3),-Q,Q),Xe=Math.abs(qe)/(le*ee);return{easing:B.easing,duration:1e3*Xe,amount:qe*(Xe/2)}}class jl extends a.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(w,B,Q,ee={}){let le=c.mousePos(B.getCanvas(),Q),qe=B.unproject(le);super(w,a.e({point:le,lngLat:qe,originalEvent:Q},ee)),this._defaultPrevented=!1,this.target=B}}class lf extends a.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(w,B,Q){let ee=w===\"touchend\"?Q.changedTouches:Q.touches,le=c.touchPos(B.getCanvasContainer(),ee),qe=le.map(ot=>B.unproject(ot)),Xe=le.reduce((ot,Tt,Kt,Jt)=>ot.add(Tt.div(Jt.length)),new a.P(0,0));super(w,{points:le,point:Xe,lngLats:qe,lngLat:B.unproject(Xe),originalEvent:Q}),this._defaultPrevented=!1}}class Vh extends a.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(w,B,Q){super(w,{originalEvent:Q}),this._defaultPrevented=!1}}class Pf{constructor(w,B){this._map=w,this._clickTolerance=B.clickTolerance}reset(){delete this._mousedownPos}wheel(w){return this._firePreventable(new Vh(w.type,this._map,w))}mousedown(w,B){return this._mousedownPos=B,this._firePreventable(new jl(w.type,this._map,w))}mouseup(w){this._map.fire(new jl(w.type,this._map,w))}click(w,B){this._mousedownPos&&this._mousedownPos.dist(B)>=this._clickTolerance||this._map.fire(new jl(w.type,this._map,w))}dblclick(w){return this._firePreventable(new jl(w.type,this._map,w))}mouseover(w){this._map.fire(new jl(w.type,this._map,w))}mouseout(w){this._map.fire(new jl(w.type,this._map,w))}touchstart(w){return this._firePreventable(new lf(w.type,this._map,w))}touchmove(w){this._map.fire(new lf(w.type,this._map,w))}touchend(w){this._map.fire(new lf(w.type,this._map,w))}touchcancel(w){this._map.fire(new lf(w.type,this._map,w))}_firePreventable(w){if(this._map.fire(w),w.defaultPrevented)return{}}isEnabled(){return!0}isActive(){return!1}enable(){}disable(){}}class Ls{constructor(w){this._map=w}reset(){this._delayContextMenu=!1,this._ignoreContextMenu=!0,delete this._contextMenuEvent}mousemove(w){this._map.fire(new jl(w.type,this._map,w))}mousedown(){this._delayContextMenu=!0,this._ignoreContextMenu=!1}mouseup(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new jl(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)}contextmenu(w){this._delayContextMenu?this._contextMenuEvent=w:this._ignoreContextMenu||this._map.fire(new jl(w.type,this._map,w)),this._map.listens(\"contextmenu\")&&w.preventDefault()}isEnabled(){return!0}isActive(){return!1}enable(){}disable(){}}class vu{constructor(w){this._map=w}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(w){return this.transform.pointLocation(a.P.convert(w),this._map.terrain)}}class Cu{constructor(w,B){this._map=w,this._tr=new vu(w),this._el=w.getCanvasContainer(),this._container=w.getContainer(),this._clickTolerance=B.clickTolerance||1}isEnabled(){return!!this._enabled}isActive(){return!!this._active}enable(){this.isEnabled()||(this._enabled=!0)}disable(){this.isEnabled()&&(this._enabled=!1)}mousedown(w,B){this.isEnabled()&&w.shiftKey&&w.button===0&&(c.disableDrag(),this._startPos=this._lastPos=B,this._active=!0)}mousemoveWindow(w,B){if(!this._active)return;let Q=B;if(this._lastPos.equals(Q)||!this._box&&Q.dist(this._startPos)<this._clickTolerance)return;let ee=this._startPos;this._lastPos=Q,this._box||(this._box=c.create(\"div\",\"maplibregl-boxzoom\",this._container),this._container.classList.add(\"maplibregl-crosshair\"),this._fireEvent(\"boxzoomstart\",w));let le=Math.min(ee.x,Q.x),qe=Math.max(ee.x,Q.x),Xe=Math.min(ee.y,Q.y),ot=Math.max(ee.y,Q.y);c.setTransform(this._box,`translate(${le}px,${Xe}px)`),this._box.style.width=qe-le+\"px\",this._box.style.height=ot-Xe+\"px\"}mouseupWindow(w,B){if(!this._active||w.button!==0)return;let Q=this._startPos,ee=B;if(this.reset(),c.suppressClick(),Q.x!==ee.x||Q.y!==ee.y)return this._map.fire(new a.k(\"boxzoomend\",{originalEvent:w})),{cameraAnimation:le=>le.fitScreenCoordinates(Q,ee,this._tr.bearing,{linear:!0})};this._fireEvent(\"boxzoomcancel\",w)}keydown(w){this._active&&w.keyCode===27&&(this.reset(),this._fireEvent(\"boxzoomcancel\",w))}reset(){this._active=!1,this._container.classList.remove(\"maplibregl-crosshair\"),this._box&&(c.remove(this._box),this._box=null),c.enableDrag(),delete this._startPos,delete this._lastPos}_fireEvent(w,B){return this._map.fire(new a.k(w,{originalEvent:B}))}}function Wf(ue,w){if(ue.length!==w.length)throw new Error(`The number of touches and points are not equal - touches ${ue.length}, points ${w.length}`);let B={};for(let Q=0;Q<ue.length;Q++)B[ue[Q].identifier]=w[Q];return B}class Vs{constructor(w){this.reset(),this.numTouches=w.numTouches}reset(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1}touchstart(w,B,Q){(this.centroid||Q.length>this.numTouches)&&(this.aborted=!0),this.aborted||(this.startTime===void 0&&(this.startTime=w.timeStamp),Q.length===this.numTouches&&(this.centroid=function(ee){let le=new a.P(0,0);for(let qe of ee)le._add(qe);return le.div(ee.length)}(B),this.touches=Wf(Q,B)))}touchmove(w,B,Q){if(this.aborted||!this.centroid)return;let ee=Wf(Q,B);for(let le in this.touches){let qe=ee[le];(!qe||qe.dist(this.touches[le])>30)&&(this.aborted=!0)}}touchend(w,B,Q){if((!this.centroid||w.timeStamp-this.startTime>500)&&(this.aborted=!0),Q.length===0){let ee=!this.aborted&&this.centroid;if(this.reset(),ee)return ee}}}class bf{constructor(w){this.singleTap=new Vs(w),this.numTaps=w.numTaps,this.reset()}reset(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()}touchstart(w,B,Q){this.singleTap.touchstart(w,B,Q)}touchmove(w,B,Q){this.singleTap.touchmove(w,B,Q)}touchend(w,B,Q){let ee=this.singleTap.touchend(w,B,Q);if(ee){let le=w.timeStamp-this.lastTime<500,qe=!this.lastTap||this.lastTap.dist(ee)<30;if(le&&qe||this.reset(),this.count++,this.lastTime=w.timeStamp,this.lastTap=ee,this.count===this.numTaps)return this.reset(),ee}}}class zc{constructor(w){this._tr=new vu(w),this._zoomIn=new bf({numTouches:1,numTaps:2}),this._zoomOut=new bf({numTouches:2,numTaps:1}),this.reset()}reset(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()}touchstart(w,B,Q){this._zoomIn.touchstart(w,B,Q),this._zoomOut.touchstart(w,B,Q)}touchmove(w,B,Q){this._zoomIn.touchmove(w,B,Q),this._zoomOut.touchmove(w,B,Q)}touchend(w,B,Q){let ee=this._zoomIn.touchend(w,B,Q),le=this._zoomOut.touchend(w,B,Q),qe=this._tr;return ee?(this._active=!0,w.preventDefault(),setTimeout(()=>this.reset(),0),{cameraAnimation:Xe=>Xe.easeTo({duration:300,zoom:qe.zoom+1,around:qe.unproject(ee)},{originalEvent:w})}):le?(this._active=!0,w.preventDefault(),setTimeout(()=>this.reset(),0),{cameraAnimation:Xe=>Xe.easeTo({duration:300,zoom:qe.zoom-1,around:qe.unproject(le)},{originalEvent:w})}):void 0}touchcancel(){this.reset()}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class Wu{constructor(w){this._enabled=!!w.enable,this._moveStateManager=w.moveStateManager,this._clickTolerance=w.clickTolerance||1,this._moveFunction=w.move,this._activateOnStart=!!w.activateOnStart,w.assignEvents(this),this.reset()}reset(w){this._active=!1,this._moved=!1,delete this._lastPoint,this._moveStateManager.endMove(w)}_move(...w){let B=this._moveFunction(...w);if(B.bearingDelta||B.pitchDelta||B.around||B.panDelta)return this._active=!0,B}dragStart(w,B){this.isEnabled()&&!this._lastPoint&&this._moveStateManager.isValidStartEvent(w)&&(this._moveStateManager.startMove(w),this._lastPoint=B.length?B[0]:B,this._activateOnStart&&this._lastPoint&&(this._active=!0))}dragMove(w,B){if(!this.isEnabled())return;let Q=this._lastPoint;if(!Q)return;if(w.preventDefault(),!this._moveStateManager.isValidMoveEvent(w))return void this.reset(w);let ee=B.length?B[0]:B;return!this._moved&&ee.dist(Q)<this._clickTolerance?void 0:(this._moved=!0,this._lastPoint=ee,this._move(Q,ee))}dragEnd(w){this.isEnabled()&&this._lastPoint&&this._moveStateManager.isValidEndEvent(w)&&(this._moved&&c.suppressClick(),this.reset(w))}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}getClickTolerance(){return this._clickTolerance}}let If={0:1,2:2};class Xu{constructor(w){this._correctEvent=w.checkCorrectEvent}startMove(w){let B=c.mouseButton(w);this._eventButton=B}endMove(w){delete this._eventButton}isValidStartEvent(w){return this._correctEvent(w)}isValidMoveEvent(w){return!function(B,Q){let ee=If[Q];return B.buttons===void 0||(B.buttons&ee)!==ee}(w,this._eventButton)}isValidEndEvent(w){return c.mouseButton(w)===this._eventButton}}class uf{constructor(){this._firstTouch=void 0}_isOneFingerTouch(w){return w.targetTouches.length===1}_isSameTouchEvent(w){return w.targetTouches[0].identifier===this._firstTouch}startMove(w){this._firstTouch=w.targetTouches[0].identifier}endMove(w){delete this._firstTouch}isValidStartEvent(w){return this._isOneFingerTouch(w)}isValidMoveEvent(w){return this._isOneFingerTouch(w)&&this._isSameTouchEvent(w)}isValidEndEvent(w){return this._isOneFingerTouch(w)&&this._isSameTouchEvent(w)}}let Xf=ue=>{ue.mousedown=ue.dragStart,ue.mousemoveWindow=ue.dragMove,ue.mouseup=ue.dragEnd,ue.contextmenu=w=>{w.preventDefault()}},Wl=({enable:ue,clickTolerance:w,bearingDegreesPerPixelMoved:B=.8})=>{let Q=new Xu({checkCorrectEvent:ee=>c.mouseButton(ee)===0&&ee.ctrlKey||c.mouseButton(ee)===2});return new Wu({clickTolerance:w,move:(ee,le)=>({bearingDelta:(le.x-ee.x)*B}),moveStateManager:Q,enable:ue,assignEvents:Xf})},ah=({enable:ue,clickTolerance:w,pitchDegreesPerPixelMoved:B=-.5})=>{let Q=new Xu({checkCorrectEvent:ee=>c.mouseButton(ee)===0&&ee.ctrlKey||c.mouseButton(ee)===2});return new Wu({clickTolerance:w,move:(ee,le)=>({pitchDelta:(le.y-ee.y)*B}),moveStateManager:Q,enable:ue,assignEvents:Xf})};class Zu{constructor(w,B){this._clickTolerance=w.clickTolerance||1,this._map=B,this.reset()}reset(){this._active=!1,this._touches={},this._sum=new a.P(0,0)}_shouldBePrevented(w){return w<(this._map.cooperativeGestures.isEnabled()?2:1)}touchstart(w,B,Q){return this._calculateTransform(w,B,Q)}touchmove(w,B,Q){if(this._active){if(!this._shouldBePrevented(Q.length))return w.preventDefault(),this._calculateTransform(w,B,Q);this._map.cooperativeGestures.notifyGestureBlocked(\"touch_pan\",w)}}touchend(w,B,Q){this._calculateTransform(w,B,Q),this._active&&this._shouldBePrevented(Q.length)&&this.reset()}touchcancel(){this.reset()}_calculateTransform(w,B,Q){Q.length>0&&(this._active=!0);let ee=Wf(Q,B),le=new a.P(0,0),qe=new a.P(0,0),Xe=0;for(let Tt in ee){let Kt=ee[Tt],Jt=this._touches[Tt];Jt&&(le._add(Kt),qe._add(Kt.sub(Jt)),Xe++,ee[Tt]=Kt)}if(this._touches=ee,this._shouldBePrevented(Xe)||!qe.mag())return;let ot=qe.div(Xe);return this._sum._add(ot),this._sum.mag()<this._clickTolerance?void 0:{around:le.div(Xe),panDelta:ot}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class Oc{constructor(){this.reset()}reset(){this._active=!1,delete this._firstTwoTouches}touchstart(w,B,Q){this._firstTwoTouches||Q.length<2||(this._firstTwoTouches=[Q[0].identifier,Q[1].identifier],this._start([B[0],B[1]]))}touchmove(w,B,Q){if(!this._firstTwoTouches)return;w.preventDefault();let[ee,le]=this._firstTwoTouches,qe=Tc(Q,B,ee),Xe=Tc(Q,B,le);if(!qe||!Xe)return;let ot=this._aroundCenter?null:qe.add(Xe).div(2);return this._move([qe,Xe],ot,w)}touchend(w,B,Q){if(!this._firstTwoTouches)return;let[ee,le]=this._firstTwoTouches,qe=Tc(Q,B,ee),Xe=Tc(Q,B,le);qe&&Xe||(this._active&&c.suppressClick(),this.reset())}touchcancel(){this.reset()}enable(w){this._enabled=!0,this._aroundCenter=!!w&&w.around===\"center\"}disable(){this._enabled=!1,this.reset()}isEnabled(){return!!this._enabled}isActive(){return!!this._active}}function Tc(ue,w,B){for(let Q=0;Q<ue.length;Q++)if(ue[Q].identifier===B)return w[Q]}function wl(ue,w){return Math.log(ue/w)/Math.LN2}class pu extends Oc{reset(){super.reset(),delete this._distance,delete this._startDistance}_start(w){this._startDistance=this._distance=w[0].dist(w[1])}_move(w,B){let Q=this._distance;if(this._distance=w[0].dist(w[1]),this._active||!(Math.abs(wl(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:wl(this._distance,Q),pinchAround:B}}}function qc(ue,w){return 180*ue.angleWith(w)/Math.PI}class cf extends Oc{reset(){super.reset(),delete this._minDiameter,delete this._startVector,delete this._vector}_start(w){this._startVector=this._vector=w[0].sub(w[1]),this._minDiameter=w[0].dist(w[1])}_move(w,B,Q){let ee=this._vector;if(this._vector=w[0].sub(w[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:qc(this._vector,ee),pinchAround:B}}_isBelowThreshold(w){this._minDiameter=Math.min(this._minDiameter,w.mag());let B=25/(Math.PI*this._minDiameter)*360,Q=qc(w,this._startVector);return Math.abs(Q)<B}}function fc(ue){return Math.abs(ue.y)>Math.abs(ue.x)}class Bc extends Oc{constructor(w){super(),this._currentTouchCount=0,this._map=w}reset(){super.reset(),this._valid=void 0,delete this._firstMove,delete this._lastPoints}touchstart(w,B,Q){super.touchstart(w,B,Q),this._currentTouchCount=Q.length}_start(w){this._lastPoints=w,fc(w[0].sub(w[1]))&&(this._valid=!1)}_move(w,B,Q){if(this._map.cooperativeGestures.isEnabled()&&this._currentTouchCount<3)return;let ee=w[0].sub(this._lastPoints[0]),le=w[1].sub(this._lastPoints[1]);return this._valid=this.gestureBeginsVertically(ee,le,Q.timeStamp),this._valid?(this._lastPoints=w,this._active=!0,{pitchDelta:(ee.y+le.y)/2*-.5}):void 0}gestureBeginsVertically(w,B,Q){if(this._valid!==void 0)return this._valid;let ee=w.mag()>=2,le=B.mag()>=2;if(!ee&&!le)return;if(!ee||!le)return this._firstMove===void 0&&(this._firstMove=Q),Q-this._firstMove<100&&void 0;let qe=w.y>0==B.y>0;return fc(w)&&fc(B)&&qe}}let At={panStep:100,bearingStep:15,pitchStep:10};class Xt{constructor(w){this._tr=new vu(w);let B=At;this._panStep=B.panStep,this._bearingStep=B.bearingStep,this._pitchStep=B.pitchStep,this._rotationDisabled=!1}reset(){this._active=!1}keydown(w){if(w.altKey||w.ctrlKey||w.metaKey)return;let B=0,Q=0,ee=0,le=0,qe=0;switch(w.keyCode){case 61:case 107:case 171:case 187:B=1;break;case 189:case 109:case 173:B=-1;break;case 37:w.shiftKey?Q=-1:(w.preventDefault(),le=-1);break;case 39:w.shiftKey?Q=1:(w.preventDefault(),le=1);break;case 38:w.shiftKey?ee=1:(w.preventDefault(),qe=-1);break;case 40:w.shiftKey?ee=-1:(w.preventDefault(),qe=1);break;default:return}return this._rotationDisabled&&(Q=0,ee=0),{cameraAnimation:Xe=>{let ot=this._tr;Xe.easeTo({duration:300,easeId:\"keyboardHandler\",easing:kr,zoom:B?Math.round(ot.zoom)+B*(w.shiftKey?2:1):ot.zoom,bearing:ot.bearing+Q*this._bearingStep,pitch:ot.pitch+ee*this._pitchStep,offset:[-le*this._panStep,-qe*this._panStep],center:ot.center},{originalEvent:w})}}}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 kr(ue){return ue*(2-ue)}let Ar=4.000244140625;class Kr{constructor(w,B){this._onTimeout=Q=>{this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(Q)},this._map=w,this._tr=new vu(w),this._triggerRenderFrame=B,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222}setZoomRate(w){this._defaultZoomRate=w}setWheelZoomRate(w){this._wheelZoomRate=w}isEnabled(){return!!this._enabled}isActive(){return!!this._active||this._finishTimeout!==void 0}isZooming(){return!!this._zooming}enable(w){this.isEnabled()||(this._enabled=!0,this._aroundCenter=!!w&&w.around===\"center\")}disable(){this.isEnabled()&&(this._enabled=!1)}_shouldBePrevented(w){return!!this._map.cooperativeGestures.isEnabled()&&!(w.ctrlKey||this._map.cooperativeGestures.isBypassed(w))}wheel(w){if(!this.isEnabled())return;if(this._shouldBePrevented(w))return void this._map.cooperativeGestures.notifyGestureBlocked(\"wheel_zoom\",w);let B=w.deltaMode===WheelEvent.DOM_DELTA_LINE?40*w.deltaY:w.deltaY,Q=u.now(),ee=Q-(this._lastWheelEventTime||0);this._lastWheelEventTime=Q,B!==0&&B%Ar==0?this._type=\"wheel\":B!==0&&Math.abs(B)<4?this._type=\"trackpad\":ee>400?(this._type=null,this._lastValue=B,this._timeout=setTimeout(this._onTimeout,40,w)):this._type||(this._type=Math.abs(ee*B)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,B+=this._lastValue)),w.shiftKey&&B&&(B/=4),this._type&&(this._lastWheelEvent=w,this._delta-=B,this._active||this._start(w)),w.preventDefault()}_start(w){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);let B=c.mousePos(this._map.getCanvas(),w),Q=this._tr;this._around=B.y>Q.transform.height/2-Q.transform.getHorizon()?a.N.convert(this._aroundCenter?Q.center:Q.unproject(B)):a.N.convert(Q.center),this._aroundPoint=Q.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._triggerRenderFrame())}renderFrame(){if(!this._frameId||(this._frameId=null,!this.isActive()))return;let w=this._tr.transform;if(this._delta!==0){let ot=this._type===\"wheel\"&&Math.abs(this._delta)>Ar?this._wheelZoomRate:this._defaultZoomRate,Tt=2/(1+Math.exp(-Math.abs(this._delta*ot)));this._delta<0&&Tt!==0&&(Tt=1/Tt);let Kt=typeof this._targetZoom==\"number\"?w.zoomScale(this._targetZoom):w.scale;this._targetZoom=Math.min(w.maxZoom,Math.max(w.minZoom,w.scaleZoom(Kt*Tt))),this._type===\"wheel\"&&(this._startZoom=w.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}let B=typeof this._targetZoom==\"number\"?this._targetZoom:w.zoom,Q=this._startZoom,ee=this._easing,le,qe=!1,Xe=u.now()-this._lastWheelEventTime;if(this._type===\"wheel\"&&Q&&ee&&Xe){let ot=Math.min(Xe/200,1),Tt=ee(ot);le=a.y.number(Q,B,Tt),ot<1?this._frameId||(this._frameId=!0):qe=!0}else le=B,qe=!0;return this._active=!0,qe&&(this._active=!1,this._finishTimeout=setTimeout(()=>{this._zooming=!1,this._triggerRenderFrame(),delete this._targetZoom,delete this._finishTimeout},200)),{noInertia:!0,needsRenderFrame:!qe,zoomDelta:le-w.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}_smoothOutEasing(w){let B=a.b9;if(this._prevEase){let Q=this._prevEase,ee=(u.now()-Q.start)/Q.duration,le=Q.easing(ee+.01)-Q.easing(ee),qe=.27/Math.sqrt(le*le+1e-4)*.01,Xe=Math.sqrt(.0729-qe*qe);B=a.b8(qe,Xe,.25,1)}return this._prevEase={start:u.now(),duration:w,easing:B},B}reset(){this._active=!1,this._zooming=!1,delete this._targetZoom,this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout)}}class Ei{constructor(w,B){this._clickZoom=w,this._tapZoom=B}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 Wi{constructor(w){this._tr=new vu(w),this.reset()}reset(){this._active=!1}dblclick(w,B){return w.preventDefault(),{cameraAnimation:Q=>{Q.easeTo({duration:300,zoom:this._tr.zoom+(w.shiftKey?-1:1),around:this._tr.unproject(B)},{originalEvent:w})}}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class hn{constructor(){this._tap=new bf({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(w,B,Q){if(!this._swipePoint)if(this._tapTime){let ee=B[0],le=w.timeStamp-this._tapTime<500,qe=this._tapPoint.dist(ee)<30;le&&qe?Q.length>0&&(this._swipePoint=ee,this._swipeTouch=Q[0].identifier):this.reset()}else this._tap.touchstart(w,B,Q)}touchmove(w,B,Q){if(this._tapTime){if(this._swipePoint){if(Q[0].identifier!==this._swipeTouch)return;let ee=B[0],le=ee.y-this._swipePoint.y;return this._swipePoint=ee,w.preventDefault(),this._active=!0,{zoomDelta:le/128}}}else this._tap.touchmove(w,B,Q)}touchend(w,B,Q){if(this._tapTime)this._swipePoint&&Q.length===0&&this.reset();else{let ee=this._tap.touchend(w,B,Q);ee&&(this._tapTime=w.timeStamp,this._tapPoint=ee)}}touchcancel(){this.reset()}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class Tn{constructor(w,B,Q){this._el=w,this._mousePan=B,this._touchPan=Q}enable(w){this._inertiaOptions=w||{},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 Bn{constructor(w,B,Q){this._pitchWithRotate=w.pitchWithRotate,this._mouseRotate=B,this._mousePitch=Q}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 Zi{constructor(w,B,Q,ee){this._el=w,this._touchZoom=B,this._touchRotate=Q,this._tapDragZoom=ee,this._rotationDisabled=!1,this._enabled=!0}enable(w){this._touchZoom.enable(w),this._rotationDisabled||this._touchRotate.enable(w),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 $i{constructor(w,B){this._bypassKey=navigator.userAgent.indexOf(\"Mac\")!==-1?\"metaKey\":\"ctrlKey\",this._map=w,this._options=B,this._enabled=!1}isActive(){return!1}reset(){}_setupUI(){if(this._container)return;let w=this._map.getCanvasContainer();w.classList.add(\"maplibregl-cooperative-gestures\"),this._container=c.create(\"div\",\"maplibregl-cooperative-gesture-screen\",w);let B=this._map._getUIString(\"CooperativeGesturesHandler.WindowsHelpText\");this._bypassKey===\"metaKey\"&&(B=this._map._getUIString(\"CooperativeGesturesHandler.MacHelpText\"));let Q=this._map._getUIString(\"CooperativeGesturesHandler.MobileHelpText\"),ee=document.createElement(\"div\");ee.className=\"maplibregl-desktop-message\",ee.textContent=B,this._container.appendChild(ee);let le=document.createElement(\"div\");le.className=\"maplibregl-mobile-message\",le.textContent=Q,this._container.appendChild(le),this._container.setAttribute(\"aria-hidden\",\"true\")}_destroyUI(){this._container&&(c.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(w){return w[this._bypassKey]}notifyGestureBlocked(w,B){this._enabled&&(this._map.fire(new a.k(\"cooperativegestureprevented\",{gestureType:w,originalEvent:B})),this._container.classList.add(\"maplibregl-show\"),setTimeout(()=>{this._container.classList.remove(\"maplibregl-show\")},100))}}let an=ue=>ue.zoom||ue.drag||ue.pitch||ue.rotate;class Di extends a.k{}function $n(ue){return ue.panDelta&&ue.panDelta.mag()||ue.zoomDelta||ue.bearingDelta||ue.pitchDelta}class ka{constructor(w,B){this.handleWindowEvent=ee=>{this.handleEvent(ee,`${ee.type}Window`)},this.handleEvent=(ee,le)=>{if(ee.type===\"blur\")return void this.stop(!0);this._updatingCamera=!0;let qe=ee.type===\"renderFrame\"?void 0:ee,Xe={needsRenderFrame:!1},ot={},Tt={},Kt=ee.touches,Jt=Kt?this._getMapTouches(Kt):void 0,xr=Jt?c.touchPos(this._map.getCanvas(),Jt):c.mousePos(this._map.getCanvas(),ee);for(let{handlerName:be,handler:Re,allowed:Be}of this._handlers){if(!Re.isEnabled())continue;let tt;this._blockedByActive(Tt,Be,be)?Re.reset():Re[le||ee.type]&&(tt=Re[le||ee.type](ee,xr,Jt),this.mergeHandlerResult(Xe,ot,tt,be,qe),tt&&tt.needsRenderFrame&&this._triggerRenderFrame()),(tt||Re.isActive())&&(Tt[be]=Re)}let Pr={};for(let be in this._previousActiveHandlers)Tt[be]||(Pr[be]=qe);this._previousActiveHandlers=Tt,(Object.keys(Pr).length||$n(Xe))&&(this._changes.push([Xe,ot,Pr]),this._triggerRenderFrame()),(Object.keys(Tt).length||$n(Xe))&&this._map._stop(!0),this._updatingCamera=!1;let{cameraAnimation:ve}=Xe;ve&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],ve(this._map))},this._map=w,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Lf(w),this._bearingSnap=B.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(B);let Q=this._el;this._listeners=[[Q,\"touchstart\",{passive:!0}],[Q,\"touchmove\",{passive:!1}],[Q,\"touchend\",void 0],[Q,\"touchcancel\",void 0],[Q,\"mousedown\",void 0],[Q,\"mousemove\",void 0],[Q,\"mouseup\",void 0],[document,\"mousemove\",{capture:!0}],[document,\"mouseup\",void 0],[Q,\"mouseover\",void 0],[Q,\"mouseout\",void 0],[Q,\"dblclick\",void 0],[Q,\"click\",void 0],[Q,\"keydown\",{capture:!1}],[Q,\"keyup\",void 0],[Q,\"wheel\",{passive:!1}],[Q,\"contextmenu\",void 0],[window,\"blur\",void 0]];for(let[ee,le,qe]of this._listeners)c.addEventListener(ee,le,ee===document?this.handleWindowEvent:this.handleEvent,qe)}destroy(){for(let[w,B,Q]of this._listeners)c.removeEventListener(w,B,w===document?this.handleWindowEvent:this.handleEvent,Q)}_addDefaultHandlers(w){let B=this._map,Q=B.getCanvasContainer();this._add(\"mapEvent\",new Pf(B,w));let ee=B.boxZoom=new Cu(B,w);this._add(\"boxZoom\",ee),w.interactive&&w.boxZoom&&ee.enable();let le=B.cooperativeGestures=new $i(B,w.cooperativeGestures);this._add(\"cooperativeGestures\",le),w.cooperativeGestures&&le.enable();let qe=new zc(B),Xe=new Wi(B);B.doubleClickZoom=new Ei(Xe,qe),this._add(\"tapZoom\",qe),this._add(\"clickZoom\",Xe),w.interactive&&w.doubleClickZoom&&B.doubleClickZoom.enable();let ot=new hn;this._add(\"tapDragZoom\",ot);let Tt=B.touchPitch=new Bc(B);this._add(\"touchPitch\",Tt),w.interactive&&w.touchPitch&&B.touchPitch.enable(w.touchPitch);let Kt=Wl(w),Jt=ah(w);B.dragRotate=new Bn(w,Kt,Jt),this._add(\"mouseRotate\",Kt,[\"mousePitch\"]),this._add(\"mousePitch\",Jt,[\"mouseRotate\"]),w.interactive&&w.dragRotate&&B.dragRotate.enable();let xr=(({enable:tt,clickTolerance:We})=>{let it=new Xu({checkCorrectEvent:Dt=>c.mouseButton(Dt)===0&&!Dt.ctrlKey});return new Wu({clickTolerance:We,move:(Dt,Ht)=>({around:Ht,panDelta:Ht.sub(Dt)}),activateOnStart:!0,moveStateManager:it,enable:tt,assignEvents:Xf})})(w),Pr=new Zu(w,B);B.dragPan=new Tn(Q,xr,Pr),this._add(\"mousePan\",xr),this._add(\"touchPan\",Pr,[\"touchZoom\",\"touchRotate\"]),w.interactive&&w.dragPan&&B.dragPan.enable(w.dragPan);let ve=new cf,be=new pu;B.touchZoomRotate=new Zi(Q,be,ve,ot),this._add(\"touchRotate\",ve,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",be,[\"touchPan\",\"touchRotate\"]),w.interactive&&w.touchZoomRotate&&B.touchZoomRotate.enable(w.touchZoomRotate);let Re=B.scrollZoom=new Kr(B,()=>this._triggerRenderFrame());this._add(\"scrollZoom\",Re,[\"mousePan\"]),w.interactive&&w.scrollZoom&&B.scrollZoom.enable(w.scrollZoom);let Be=B.keyboard=new Xt(B);this._add(\"keyboard\",Be),w.interactive&&w.keyboard&&B.keyboard.enable(),this._add(\"blockableMapEvent\",new Ls(B))}_add(w,B,Q){this._handlers.push({handlerName:w,handler:B,allowed:Q}),this._handlersById[w]=B}stop(w){if(!this._updatingCamera){for(let{handler:B}of this._handlers)B.reset();this._inertia.clear(),this._fireEvents({},{},w),this._changes=[]}}isActive(){for(let{handler:w}of this._handlers)if(w.isActive())return!0;return!1}isZooming(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()}isRotating(){return!!this._eventsInProgress.rotate}isMoving(){return!!an(this._eventsInProgress)||this.isZooming()}_blockedByActive(w,B,Q){for(let ee in w)if(ee!==Q&&(!B||B.indexOf(ee)<0))return!0;return!1}_getMapTouches(w){let B=[];for(let Q of w)this._el.contains(Q.target)&&B.push(Q);return B}mergeHandlerResult(w,B,Q,ee,le){if(!Q)return;a.e(w,Q);let qe={handlerName:ee,originalEvent:Q.originalEvent||le};Q.zoomDelta!==void 0&&(B.zoom=qe),Q.panDelta!==void 0&&(B.drag=qe),Q.pitchDelta!==void 0&&(B.pitch=qe),Q.bearingDelta!==void 0&&(B.rotate=qe)}_applyChanges(){let w={},B={},Q={};for(let[ee,le,qe]of this._changes)ee.panDelta&&(w.panDelta=(w.panDelta||new a.P(0,0))._add(ee.panDelta)),ee.zoomDelta&&(w.zoomDelta=(w.zoomDelta||0)+ee.zoomDelta),ee.bearingDelta&&(w.bearingDelta=(w.bearingDelta||0)+ee.bearingDelta),ee.pitchDelta&&(w.pitchDelta=(w.pitchDelta||0)+ee.pitchDelta),ee.around!==void 0&&(w.around=ee.around),ee.pinchAround!==void 0&&(w.pinchAround=ee.pinchAround),ee.noInertia&&(w.noInertia=ee.noInertia),a.e(B,le),a.e(Q,qe);this._updateMapTransform(w,B,Q),this._changes=[]}_updateMapTransform(w,B,Q){let ee=this._map,le=ee._getTransformForUpdate(),qe=ee.terrain;if(!($n(w)||qe&&this._terrainMovement))return this._fireEvents(B,Q,!0);let{panDelta:Xe,zoomDelta:ot,bearingDelta:Tt,pitchDelta:Kt,around:Jt,pinchAround:xr}=w;xr!==void 0&&(Jt=xr),ee._stop(!0),Jt=Jt||ee.transform.centerPoint;let Pr=le.pointLocation(Xe?Jt.sub(Xe):Jt);Tt&&(le.bearing+=Tt),Kt&&(le.pitch+=Kt),ot&&(le.zoom+=ot),qe?this._terrainMovement||!B.drag&&!B.zoom?B.drag&&this._terrainMovement?le.center=le.pointLocation(le.centerPoint.sub(Xe)):le.setLocationAtPoint(Pr,Jt):(this._terrainMovement=!0,this._map._elevationFreeze=!0,le.setLocationAtPoint(Pr,Jt)):le.setLocationAtPoint(Pr,Jt),ee._applyUpdatedTransform(le),this._map._update(),w.noInertia||this._inertia.record(w),this._fireEvents(B,Q,!0)}_fireEvents(w,B,Q){let ee=an(this._eventsInProgress),le=an(w),qe={};for(let Jt in w){let{originalEvent:xr}=w[Jt];this._eventsInProgress[Jt]||(qe[`${Jt}start`]=xr),this._eventsInProgress[Jt]=w[Jt]}!ee&&le&&this._fireEvent(\"movestart\",le.originalEvent);for(let Jt in qe)this._fireEvent(Jt,qe[Jt]);le&&this._fireEvent(\"move\",le.originalEvent);for(let Jt in w){let{originalEvent:xr}=w[Jt];this._fireEvent(Jt,xr)}let Xe={},ot;for(let Jt in this._eventsInProgress){let{handlerName:xr,originalEvent:Pr}=this._eventsInProgress[Jt];this._handlersById[xr].isActive()||(delete this._eventsInProgress[Jt],ot=B[xr]||Pr,Xe[`${Jt}end`]=ot)}for(let Jt in Xe)this._fireEvent(Jt,Xe[Jt]);let Tt=an(this._eventsInProgress),Kt=(ee||le)&&!Tt;if(Kt&&this._terrainMovement){this._map._elevationFreeze=!1,this._terrainMovement=!1;let Jt=this._map._getTransformForUpdate();Jt.recalculateZoom(this._map.terrain),this._map._applyUpdatedTransform(Jt)}if(Q&&Kt){this._updatingCamera=!0;let Jt=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),xr=Pr=>Pr!==0&&-this._bearingSnap<Pr&&Pr<this._bearingSnap;!Jt||!Jt.essential&&u.prefersReducedMotion?(this._map.fire(new a.k(\"moveend\",{originalEvent:ot})),xr(this._map.getBearing())&&this._map.resetNorth()):(xr(Jt.bearing||this._map.getBearing())&&(Jt.bearing=0),Jt.freezeElevation=!0,this._map.easeTo(Jt,{originalEvent:ot})),this._updatingCamera=!1}}_fireEvent(w,B){this._map.fire(new a.k(w,B?{originalEvent:B}:{}))}_requestFrame(){return this._map.triggerRepaint(),this._map._renderTaskQueue.add(w=>{delete this._frameId,this.handleEvent(new Di(\"renderFrame\",{timeStamp:w})),this._applyChanges()})}_triggerRenderFrame(){this._frameId===void 0&&(this._frameId=this._requestFrame())}}class Ra extends a.E{constructor(w,B){super(),this._renderFrameCallback=()=>{let Q=Math.min((u.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(Q)),Q<1&&this._easeFrameId?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},this._moving=!1,this._zooming=!1,this.transform=w,this._bearingSnap=B.bearingSnap,this.on(\"moveend\",()=>{delete this._requestedCameraState})}getCenter(){return new a.N(this.transform.center.lng,this.transform.center.lat)}setCenter(w,B){return this.jumpTo({center:w},B)}panBy(w,B,Q){return w=a.P.convert(w).mult(-1),this.panTo(this.transform.center,a.e({offset:w},B),Q)}panTo(w,B,Q){return this.easeTo(a.e({center:w},B),Q)}getZoom(){return this.transform.zoom}setZoom(w,B){return this.jumpTo({zoom:w},B),this}zoomTo(w,B,Q){return this.easeTo(a.e({zoom:w},B),Q)}zoomIn(w,B){return this.zoomTo(this.getZoom()+1,w,B),this}zoomOut(w,B){return this.zoomTo(this.getZoom()-1,w,B),this}getBearing(){return this.transform.bearing}setBearing(w,B){return this.jumpTo({bearing:w},B),this}getPadding(){return this.transform.padding}setPadding(w,B){return this.jumpTo({padding:w},B),this}rotateTo(w,B,Q){return this.easeTo(a.e({bearing:w},B),Q)}resetNorth(w,B){return this.rotateTo(0,a.e({duration:1e3},w),B),this}resetNorthPitch(w,B){return this.easeTo(a.e({bearing:0,pitch:0,duration:1e3},w),B),this}snapToNorth(w,B){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(w,B):this}getPitch(){return this.transform.pitch}setPitch(w,B){return this.jumpTo({pitch:w},B),this}cameraForBounds(w,B){w=ce.convert(w).adjustAntiMeridian();let Q=B&&B.bearing||0;return this._cameraForBoxAndBearing(w.getNorthWest(),w.getSouthEast(),Q,B)}_cameraForBoxAndBearing(w,B,Q,ee){let le={top:0,bottom:0,right:0,left:0};if(typeof(ee=a.e({padding:le,offset:[0,0],maxZoom:this.transform.maxZoom},ee)).padding==\"number\"){let jr=ee.padding;ee.padding={top:jr,bottom:jr,right:jr,left:jr}}ee.padding=a.e(le,ee.padding);let qe=this.transform,Xe=qe.padding,ot=new ce(w,B),Tt=qe.project(ot.getNorthWest()),Kt=qe.project(ot.getNorthEast()),Jt=qe.project(ot.getSouthEast()),xr=qe.project(ot.getSouthWest()),Pr=a.ba(-Q),ve=Tt.rotate(Pr),be=Kt.rotate(Pr),Re=Jt.rotate(Pr),Be=xr.rotate(Pr),tt=new a.P(Math.max(ve.x,be.x,Be.x,Re.x),Math.max(ve.y,be.y,Be.y,Re.y)),We=new a.P(Math.min(ve.x,be.x,Be.x,Re.x),Math.min(ve.y,be.y,Be.y,Re.y)),it=tt.sub(We),Dt=(qe.width-(Xe.left+Xe.right+ee.padding.left+ee.padding.right))/it.x,Ht=(qe.height-(Xe.top+Xe.bottom+ee.padding.top+ee.padding.bottom))/it.y;if(Ht<0||Dt<0)return void a.w(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\");let rr=Math.min(qe.scaleZoom(qe.scale*Math.min(Dt,Ht)),ee.maxZoom),dr=a.P.convert(ee.offset),Sr=new a.P((ee.padding.left-ee.padding.right)/2,(ee.padding.top-ee.padding.bottom)/2).rotate(a.ba(Q)),Or=dr.add(Sr).mult(qe.scale/qe.zoomScale(rr));return{center:qe.unproject(Tt.add(Jt).div(2).sub(Or)),zoom:rr,bearing:Q}}fitBounds(w,B,Q){return this._fitInternal(this.cameraForBounds(w,B),B,Q)}fitScreenCoordinates(w,B,Q,ee,le){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(a.P.convert(w)),this.transform.pointLocation(a.P.convert(B)),Q,ee),ee,le)}_fitInternal(w,B,Q){return w?(delete(B=a.e(w,B)).padding,B.linear?this.easeTo(B,Q):this.flyTo(B,Q)):this}jumpTo(w,B){this.stop();let Q=this._getTransformForUpdate(),ee=!1,le=!1,qe=!1;return\"zoom\"in w&&Q.zoom!==+w.zoom&&(ee=!0,Q.zoom=+w.zoom),w.center!==void 0&&(Q.center=a.N.convert(w.center)),\"bearing\"in w&&Q.bearing!==+w.bearing&&(le=!0,Q.bearing=+w.bearing),\"pitch\"in w&&Q.pitch!==+w.pitch&&(qe=!0,Q.pitch=+w.pitch),w.padding==null||Q.isPaddingEqual(w.padding)||(Q.padding=w.padding),this._applyUpdatedTransform(Q),this.fire(new a.k(\"movestart\",B)).fire(new a.k(\"move\",B)),ee&&this.fire(new a.k(\"zoomstart\",B)).fire(new a.k(\"zoom\",B)).fire(new a.k(\"zoomend\",B)),le&&this.fire(new a.k(\"rotatestart\",B)).fire(new a.k(\"rotate\",B)).fire(new a.k(\"rotateend\",B)),qe&&this.fire(new a.k(\"pitchstart\",B)).fire(new a.k(\"pitch\",B)).fire(new a.k(\"pitchend\",B)),this.fire(new a.k(\"moveend\",B))}calculateCameraOptionsFromTo(w,B,Q,ee=0){let le=a.Z.fromLngLat(w,B),qe=a.Z.fromLngLat(Q,ee),Xe=qe.x-le.x,ot=qe.y-le.y,Tt=qe.z-le.z,Kt=Math.hypot(Xe,ot,Tt);if(Kt===0)throw new Error(\"Can't calculate camera options with same From and To\");let Jt=Math.hypot(Xe,ot),xr=this.transform.scaleZoom(this.transform.cameraToCenterDistance/Kt/this.transform.tileSize),Pr=180*Math.atan2(Xe,-ot)/Math.PI,ve=180*Math.acos(Jt/Kt)/Math.PI;return ve=Tt<0?90-ve:90+ve,{center:qe.toLngLat(),zoom:xr,pitch:ve,bearing:Pr}}easeTo(w,B){var Q;this._stop(!1,w.easeId),((w=a.e({offset:[0,0],duration:500,easing:a.b9},w)).animate===!1||!w.essential&&u.prefersReducedMotion)&&(w.duration=0);let ee=this._getTransformForUpdate(),le=ee.zoom,qe=ee.bearing,Xe=ee.pitch,ot=ee.padding,Tt=\"bearing\"in w?this._normalizeBearing(w.bearing,qe):qe,Kt=\"pitch\"in w?+w.pitch:Xe,Jt=\"padding\"in w?w.padding:ee.padding,xr=a.P.convert(w.offset),Pr=ee.centerPoint.add(xr),ve=ee.pointLocation(Pr),{center:be,zoom:Re}=ee.getConstrained(a.N.convert(w.center||ve),(Q=w.zoom)!==null&&Q!==void 0?Q:le);this._normalizeCenter(be,ee);let Be=ee.project(ve),tt=ee.project(be).sub(Be),We=ee.zoomScale(Re-le),it,Dt;w.around&&(it=a.N.convert(w.around),Dt=ee.locationPoint(it));let Ht={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||Re!==le,this._rotating=this._rotating||qe!==Tt,this._pitching=this._pitching||Kt!==Xe,this._padding=!ee.isPaddingEqual(Jt),this._easeId=w.easeId,this._prepareEase(B,w.noMoveStart,Ht),this.terrain&&this._prepareElevation(be),this._ease(rr=>{if(this._zooming&&(ee.zoom=a.y.number(le,Re,rr)),this._rotating&&(ee.bearing=a.y.number(qe,Tt,rr)),this._pitching&&(ee.pitch=a.y.number(Xe,Kt,rr)),this._padding&&(ee.interpolatePadding(ot,Jt,rr),Pr=ee.centerPoint.add(xr)),this.terrain&&!w.freezeElevation&&this._updateElevation(rr),it)ee.setLocationAtPoint(it,Dt);else{let dr=ee.zoomScale(ee.zoom-le),Sr=Re>le?Math.min(2,We):Math.max(.5,We),Or=Math.pow(Sr,1-rr),jr=ee.unproject(Be.add(tt.mult(rr*Or)).mult(dr));ee.setLocationAtPoint(ee.renderWorldCopies?jr.wrap():jr,Pr)}this._applyUpdatedTransform(ee),this._fireMoveEvents(B)},rr=>{this.terrain&&w.freezeElevation&&this._finalizeElevation(),this._afterEase(B,rr)},w),this}_prepareEase(w,B,Q={}){this._moving=!0,B||Q.moving||this.fire(new a.k(\"movestart\",w)),this._zooming&&!Q.zooming&&this.fire(new a.k(\"zoomstart\",w)),this._rotating&&!Q.rotating&&this.fire(new a.k(\"rotatestart\",w)),this._pitching&&!Q.pitching&&this.fire(new a.k(\"pitchstart\",w))}_prepareElevation(w){this._elevationCenter=w,this._elevationStart=this.transform.elevation,this._elevationTarget=this.terrain.getElevationForLngLatZoom(w,this.transform.tileZoom),this._elevationFreeze=!0}_updateElevation(w){this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this._elevationCenter,this.transform.tileZoom);let B=this.terrain.getElevationForLngLatZoom(this._elevationCenter,this.transform.tileZoom);if(w<1&&B!==this._elevationTarget){let Q=this._elevationTarget-this._elevationStart;this._elevationStart+=w*(Q-(B-(Q*w+this._elevationStart))/(1-w)),this._elevationTarget=B}this.transform.elevation=a.y.number(this._elevationStart,this._elevationTarget,w)}_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(w){let B=w.getCameraPosition(),Q=this.terrain.getElevationForLngLatZoom(B.lngLat,w.zoom);if(B.altitude<Q){let ee=this.calculateCameraOptionsFromTo(B.lngLat,Q,w.center,w.elevation);return{pitch:ee.pitch,zoom:ee.zoom}}return{}}_applyUpdatedTransform(w){let B=[];if(this.terrain&&B.push(ee=>this._elevateCameraIfInsideTerrain(ee)),this.transformCameraUpdate&&B.push(ee=>this.transformCameraUpdate(ee)),!B.length)return;let Q=w.clone();for(let ee of B){let le=Q.clone(),{center:qe,zoom:Xe,pitch:ot,bearing:Tt,elevation:Kt}=ee(le);qe&&(le.center=qe),Xe!==void 0&&(le.zoom=Xe),ot!==void 0&&(le.pitch=ot),Tt!==void 0&&(le.bearing=Tt),Kt!==void 0&&(le.elevation=Kt),Q.apply(le)}this.transform.apply(Q)}_fireMoveEvents(w){this.fire(new a.k(\"move\",w)),this._zooming&&this.fire(new a.k(\"zoom\",w)),this._rotating&&this.fire(new a.k(\"rotate\",w)),this._pitching&&this.fire(new a.k(\"pitch\",w))}_afterEase(w,B){if(this._easeId&&B&&this._easeId===B)return;delete this._easeId;let Q=this._zooming,ee=this._rotating,le=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,Q&&this.fire(new a.k(\"zoomend\",w)),ee&&this.fire(new a.k(\"rotateend\",w)),le&&this.fire(new a.k(\"pitchend\",w)),this.fire(new a.k(\"moveend\",w))}flyTo(w,B){var Q;if(!w.essential&&u.prefersReducedMotion){let In=a.M(w,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(In,B)}this.stop(),w=a.e({offset:[0,0],speed:1.2,curve:1.42,easing:a.b9},w);let ee=this._getTransformForUpdate(),le=ee.zoom,qe=ee.bearing,Xe=ee.pitch,ot=ee.padding,Tt=\"bearing\"in w?this._normalizeBearing(w.bearing,qe):qe,Kt=\"pitch\"in w?+w.pitch:Xe,Jt=\"padding\"in w?w.padding:ee.padding,xr=a.P.convert(w.offset),Pr=ee.centerPoint.add(xr),ve=ee.pointLocation(Pr),{center:be,zoom:Re}=ee.getConstrained(a.N.convert(w.center||ve),(Q=w.zoom)!==null&&Q!==void 0?Q:le);this._normalizeCenter(be,ee);let Be=ee.zoomScale(Re-le),tt=ee.project(ve),We=ee.project(be).sub(tt),it=w.curve,Dt=Math.max(ee.width,ee.height),Ht=Dt/Be,rr=We.mag();if(\"minZoom\"in w){let In=a.ac(Math.min(w.minZoom,le,Re),ee.minZoom,ee.maxZoom),Kn=Dt/ee.zoomScale(In-le);it=Math.sqrt(Kn/rr*2)}let dr=it*it;function Sr(In){let Kn=(Ht*Ht-Dt*Dt+(In?-1:1)*dr*dr*rr*rr)/(2*(In?Ht:Dt)*dr*rr);return Math.log(Math.sqrt(Kn*Kn+1)-Kn)}function Or(In){return(Math.exp(In)-Math.exp(-In))/2}function jr(In){return(Math.exp(In)+Math.exp(-In))/2}let ii=Sr(!1),Li=function(In){return jr(ii)/jr(ii+it*In)},un=function(In){return Dt*((jr(ii)*(Or(Kn=ii+it*In)/jr(Kn))-Or(ii))/dr)/rr;var Kn},sn=(Sr(!0)-ii)/it;if(Math.abs(rr)<1e-6||!isFinite(sn)){if(Math.abs(Dt-Ht)<1e-6)return this.easeTo(w,B);let In=Ht<Dt?-1:1;sn=Math.abs(Math.log(Ht/Dt))/it,un=()=>0,Li=Kn=>Math.exp(In*it*Kn)}return w.duration=\"duration\"in w?+w.duration:1e3*sn/(\"screenSpeed\"in w?+w.screenSpeed/it:+w.speed),w.maxDuration&&w.duration>w.maxDuration&&(w.duration=0),this._zooming=!0,this._rotating=qe!==Tt,this._pitching=Kt!==Xe,this._padding=!ee.isPaddingEqual(Jt),this._prepareEase(B,!1),this.terrain&&this._prepareElevation(be),this._ease(In=>{let Kn=In*sn,Aa=1/Li(Kn);ee.zoom=In===1?Re:le+ee.scaleZoom(Aa),this._rotating&&(ee.bearing=a.y.number(qe,Tt,In)),this._pitching&&(ee.pitch=a.y.number(Xe,Kt,In)),this._padding&&(ee.interpolatePadding(ot,Jt,In),Pr=ee.centerPoint.add(xr)),this.terrain&&!w.freezeElevation&&this._updateElevation(In);let fa=In===1?be:ee.unproject(tt.add(We.mult(un(Kn))).mult(Aa));ee.setLocationAtPoint(ee.renderWorldCopies?fa.wrap():fa,Pr),this._applyUpdatedTransform(ee),this._fireMoveEvents(B)},()=>{this.terrain&&w.freezeElevation&&this._finalizeElevation(),this._afterEase(B)},w),this}isEasing(){return!!this._easeFrameId}stop(){return this._stop()}_stop(w,B){var Q;if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){let ee=this._onEaseEnd;delete this._onEaseEnd,ee.call(this,B)}return w||(Q=this.handlers)===null||Q===void 0||Q.stop(!1),this}_ease(w,B,Q){Q.animate===!1||Q.duration===0?(w(1),B()):(this._easeStart=u.now(),this._easeOptions=Q,this._onEaseFrame=w,this._onEaseEnd=B,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))}_normalizeBearing(w,B){w=a.b3(w,-180,180);let Q=Math.abs(w-B);return Math.abs(w-360-B)<Q&&(w-=360),Math.abs(w+360-B)<Q&&(w+=360),w}_normalizeCenter(w,B){if(!B.renderWorldCopies||B.lngRange)return;let Q=w.lng-B.center.lng;w.lng+=Q>180?-360:Q<-180?360:0}queryTerrainElevation(w){return this.terrain?this.terrain.getElevationForLngLatZoom(a.N.convert(w),this.transform.tileZoom)-this.transform.elevation:null}}let La={compact:!0,customAttribution:'<a href=\"https://maplibre.org/\" target=\"_blank\">MapLibre</a>'};class Na{constructor(w=La){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=B=>{!B||B.sourceDataType!==\"metadata\"&&B.sourceDataType!==\"visibility\"&&B.dataType!==\"style\"&&B.type!==\"terrain\"||this._updateAttributions()},this._updateCompact=()=>{this._map.getCanvasContainer().offsetWidth<=640||this._compact?this._compact===!1?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=w}getDefaultPosition(){return\"bottom-right\"}onAdd(w){return this._map=w,this._compact=this.options.compact,this._container=c.create(\"details\",\"maplibregl-ctrl maplibregl-ctrl-attrib\"),this._compactButton=c.create(\"summary\",\"maplibregl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=c.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(){c.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(w,B){let Q=this._map._getUIString(`AttributionControl.${B}`);w.title=Q,w.setAttribute(\"aria-label\",Q)}_updateAttributions(){if(!this._map.style)return;let w=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?w=w.concat(this.options.customAttribution.map(ee=>typeof ee!=\"string\"?\"\":ee)):typeof this.options.customAttribution==\"string\"&&w.push(this.options.customAttribution)),this._map.style.stylesheet){let ee=this._map.style.stylesheet;this.styleOwner=ee.owner,this.styleId=ee.id}let B=this._map.style.sourceCaches;for(let ee in B){let le=B[ee];if(le.used||le.usedForTerrain){let qe=le.getSource();qe.attribution&&w.indexOf(qe.attribution)<0&&w.push(qe.attribution)}}w=w.filter(ee=>String(ee).trim()),w.sort((ee,le)=>ee.length-le.length),w=w.filter((ee,le)=>{for(let qe=le+1;qe<w.length;qe++)if(w[qe].indexOf(ee)>=0)return!1;return!0});let Q=w.join(\" | \");Q!==this._attribHTML&&(this._attribHTML=Q,w.length?(this._innerContainer.innerHTML=Q,this._container.classList.remove(\"maplibregl-attrib-empty\")):this._container.classList.add(\"maplibregl-attrib-empty\"),this._updateCompact(),this._editLink=null)}}class Yn{constructor(w={}){this._updateCompact=()=>{let B=this._container.children;if(B.length){let Q=B[0];this._map.getCanvasContainer().offsetWidth<=640||this._compact?this._compact!==!1&&Q.classList.add(\"maplibregl-compact\"):Q.classList.remove(\"maplibregl-compact\")}},this.options=w}getDefaultPosition(){return\"bottom-left\"}onAdd(w){this._map=w,this._compact=this.options&&this.options.compact,this._container=c.create(\"div\",\"maplibregl-ctrl\");let B=c.create(\"a\",\"maplibregl-ctrl-logo\");return B.target=\"_blank\",B.rel=\"noopener nofollow\",B.href=\"https://maplibre.org/\",B.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),B.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(B),this._container.style.display=\"block\",this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container}onRemove(){c.remove(this._container),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._compact=void 0}}class zn{constructor(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1}add(w){let B=++this._id;return this._queue.push({callback:w,id:B,cancelled:!1}),B}remove(w){let B=this._currentlyRunning,Q=B?this._queue.concat(B):this._queue;for(let ee of Q)if(ee.id===w)return void(ee.cancelled=!0)}run(w=0){if(this._currentlyRunning)throw new Error(\"Attempting to run(), but is already running.\");let B=this._currentlyRunning=this._queue;this._queue=[];for(let Q of B)if(!Q.cancelled&&(Q.callback(w),this._cleared))break;this._cleared=!1,this._currentlyRunning=!1}clear(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]}}var Ka=a.Y([{name:\"a_pos3d\",type:\"Int16\",components:3}]);class bo extends a.E{constructor(w){super(),this.sourceCache=w,this._tiles={},this._renderableTilesKeys=[],this._sourceTileCache={},this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.deltaZoom=1,w.usedForTerrain=!0,w.tileSize=this.tileSize*2**this.deltaZoom}destruct(){this.sourceCache.usedForTerrain=!1,this.sourceCache.tileSize=null}update(w,B){this.sourceCache.update(w,B),this._renderableTilesKeys=[];let Q={};for(let ee of w.coveringTiles({tileSize:this.tileSize,minzoom:this.minzoom,maxzoom:this.maxzoom,reparseOverscaled:!1,terrain:B}))Q[ee.key]=!0,this._renderableTilesKeys.push(ee.key),this._tiles[ee.key]||(ee.posMatrix=new Float64Array(16),a.aP(ee.posMatrix,0,a.X,0,a.X,0,1),this._tiles[ee.key]=new Ut(ee,this.tileSize));for(let ee in this._tiles)Q[ee]||delete this._tiles[ee]}freeRtt(w){for(let B in this._tiles){let Q=this._tiles[B];(!w||Q.tileID.equals(w)||Q.tileID.isChildOf(w)||w.isChildOf(Q.tileID))&&(Q.rtt=[])}}getRenderableTiles(){return this._renderableTilesKeys.map(w=>this.getTileByID(w))}getTileByID(w){return this._tiles[w]}getTerrainCoords(w){let B={};for(let Q of this._renderableTilesKeys){let ee=this._tiles[Q].tileID;if(ee.canonical.equals(w.canonical)){let le=w.clone();le.posMatrix=new Float64Array(16),a.aP(le.posMatrix,0,a.X,0,a.X,0,1),B[Q]=le}else if(ee.canonical.isChildOf(w.canonical)){let le=w.clone();le.posMatrix=new Float64Array(16);let qe=ee.canonical.z-w.canonical.z,Xe=ee.canonical.x-(ee.canonical.x>>qe<<qe),ot=ee.canonical.y-(ee.canonical.y>>qe<<qe),Tt=a.X>>qe;a.aP(le.posMatrix,0,Tt,0,Tt,0,1),a.J(le.posMatrix,le.posMatrix,[-Xe*Tt,-ot*Tt,0]),B[Q]=le}else if(w.canonical.isChildOf(ee.canonical)){let le=w.clone();le.posMatrix=new Float64Array(16);let qe=w.canonical.z-ee.canonical.z,Xe=w.canonical.x-(w.canonical.x>>qe<<qe),ot=w.canonical.y-(w.canonical.y>>qe<<qe),Tt=a.X>>qe;a.aP(le.posMatrix,0,a.X,0,a.X,0,1),a.J(le.posMatrix,le.posMatrix,[Xe*Tt,ot*Tt,0]),a.K(le.posMatrix,le.posMatrix,[1/2**qe,1/2**qe,0]),B[Q]=le}}return B}getSourceTile(w,B){let Q=this.sourceCache._source,ee=w.overscaledZ-this.deltaZoom;if(ee>Q.maxzoom&&(ee=Q.maxzoom),ee<Q.minzoom)return null;this._sourceTileCache[w.key]||(this._sourceTileCache[w.key]=w.scaledTo(ee).key);let le=this.sourceCache.getTileByID(this._sourceTileCache[w.key]);if((!le||!le.dem)&&B)for(;ee>=Q.minzoom&&(!le||!le.dem);)le=this.sourceCache.getTileByID(w.scaledTo(ee--).key);return le}tilesAfterTime(w=Date.now()){return Object.values(this._tiles).filter(B=>B.timeAdded>=w)}}class Xo{constructor(w,B,Q){this.painter=w,this.sourceCache=new bo(B),this.options=Q,this.exaggeration=typeof Q.exaggeration==\"number\"?Q.exaggeration:1,this.qualityFactor=2,this.meshSize=128,this._demMatrixCache={},this.coordsIndex=[],this._coordsTextureSize=1024}getDEMElevation(w,B,Q,ee=a.X){var le;if(!(B>=0&&B<ee&&Q>=0&&Q<ee))return 0;let qe=this.getTerrainData(w),Xe=(le=qe.tile)===null||le===void 0?void 0:le.dem;if(!Xe)return 0;let ot=function(ve,be,Re){var Be=be[0],tt=be[1];return ve[0]=Re[0]*Be+Re[4]*tt+Re[12],ve[1]=Re[1]*Be+Re[5]*tt+Re[13],ve}([],[B/ee*a.X,Q/ee*a.X],qe.u_terrain_matrix),Tt=[ot[0]*Xe.dim,ot[1]*Xe.dim],Kt=Math.floor(Tt[0]),Jt=Math.floor(Tt[1]),xr=Tt[0]-Kt,Pr=Tt[1]-Jt;return Xe.get(Kt,Jt)*(1-xr)*(1-Pr)+Xe.get(Kt+1,Jt)*xr*(1-Pr)+Xe.get(Kt,Jt+1)*(1-xr)*Pr+Xe.get(Kt+1,Jt+1)*xr*Pr}getElevationForLngLatZoom(w,B){if(!a.bb(B,w.wrap()))return 0;let{tileID:Q,mercatorX:ee,mercatorY:le}=this._getOverscaledTileIDFromLngLatZoom(w,B);return this.getElevation(Q,ee%a.X,le%a.X,a.X)}getElevation(w,B,Q,ee=a.X){return this.getDEMElevation(w,B,Q,ee)*this.exaggeration}getTerrainData(w){if(!this._emptyDemTexture){let ee=this.painter.context,le=new a.R({width:1,height:1},new Uint8Array(4));this._emptyDepthTexture=new g(ee,le,ee.gl.RGBA,{premultiply:!1}),this._emptyDemUnpack=[0,0,0,0],this._emptyDemTexture=new g(ee,new a.R({width:1,height:1}),ee.gl.RGBA,{premultiply:!1}),this._emptyDemTexture.bind(ee.gl.NEAREST,ee.gl.CLAMP_TO_EDGE),this._emptyDemMatrix=a.an([])}let B=this.sourceCache.getSourceTile(w,!0);if(B&&B.dem&&(!B.demTexture||B.needsTerrainPrepare)){let ee=this.painter.context;B.demTexture=this.painter.getTileTexture(B.dem.stride),B.demTexture?B.demTexture.update(B.dem.getPixels(),{premultiply:!1}):B.demTexture=new g(ee,B.dem.getPixels(),ee.gl.RGBA,{premultiply:!1}),B.demTexture.bind(ee.gl.NEAREST,ee.gl.CLAMP_TO_EDGE),B.needsTerrainPrepare=!1}let Q=B&&B+B.tileID.key+w.key;if(Q&&!this._demMatrixCache[Q]){let ee=this.sourceCache.sourceCache._source.maxzoom,le=w.canonical.z-B.tileID.canonical.z;w.overscaledZ>w.canonical.z&&(w.canonical.z>=ee?le=w.canonical.z-ee:a.w(\"cannot calculate elevation if elevation maxzoom > source.maxzoom\"));let qe=w.canonical.x-(w.canonical.x>>le<<le),Xe=w.canonical.y-(w.canonical.y>>le<<le),ot=a.bc(new Float64Array(16),[1/(a.X<<le),1/(a.X<<le),0]);a.J(ot,ot,[qe*a.X,Xe*a.X,0]),this._demMatrixCache[w.key]={matrix:ot,coord:w}}return{u_depth:2,u_terrain:3,u_terrain_dim:B&&B.dem&&B.dem.dim||1,u_terrain_matrix:Q?this._demMatrixCache[w.key].matrix:this._emptyDemMatrix,u_terrain_unpack:B&&B.dem&&B.dem.getUnpackVector()||this._emptyDemUnpack,u_terrain_exaggeration:this.exaggeration,texture:(B&&B.demTexture||this._emptyDemTexture).texture,depthTexture:(this._fboDepthTexture||this._emptyDepthTexture).texture,tile:B}}getFramebuffer(w){let B=this.painter,Q=B.width/devicePixelRatio,ee=B.height/devicePixelRatio;return!this._fbo||this._fbo.width===Q&&this._fbo.height===ee||(this._fbo.destroy(),this._fboCoordsTexture.destroy(),this._fboDepthTexture.destroy(),delete this._fbo,delete this._fboDepthTexture,delete this._fboCoordsTexture),this._fboCoordsTexture||(this._fboCoordsTexture=new g(B.context,{width:Q,height:ee,data:null},B.context.gl.RGBA,{premultiply:!1}),this._fboCoordsTexture.bind(B.context.gl.NEAREST,B.context.gl.CLAMP_TO_EDGE)),this._fboDepthTexture||(this._fboDepthTexture=new g(B.context,{width:Q,height:ee,data:null},B.context.gl.RGBA,{premultiply:!1}),this._fboDepthTexture.bind(B.context.gl.NEAREST,B.context.gl.CLAMP_TO_EDGE)),this._fbo||(this._fbo=B.context.createFramebuffer(Q,ee,!0,!1),this._fbo.depthAttachment.set(B.context.createRenderbuffer(B.context.gl.DEPTH_COMPONENT16,Q,ee))),this._fbo.colorAttachment.set(w===\"coords\"?this._fboCoordsTexture.texture:this._fboDepthTexture.texture),this._fbo}getCoordsTexture(){let w=this.painter.context;if(this._coordsTexture)return this._coordsTexture;let B=new Uint8Array(this._coordsTextureSize*this._coordsTextureSize*4);for(let le=0,qe=0;le<this._coordsTextureSize;le++)for(let Xe=0;Xe<this._coordsTextureSize;Xe++,qe+=4)B[qe+0]=255&Xe,B[qe+1]=255&le,B[qe+2]=Xe>>8<<4|le>>8,B[qe+3]=0;let Q=new a.R({width:this._coordsTextureSize,height:this._coordsTextureSize},new Uint8Array(B.buffer)),ee=new g(w,Q,w.gl.RGBA,{premultiply:!1});return ee.bind(w.gl.NEAREST,w.gl.CLAMP_TO_EDGE),this._coordsTexture=ee,ee}pointCoordinate(w){this.painter.maybeDrawDepthAndCoords(!0);let B=new Uint8Array(4),Q=this.painter.context,ee=Q.gl,le=Math.round(w.x*this.painter.pixelRatio/devicePixelRatio),qe=Math.round(w.y*this.painter.pixelRatio/devicePixelRatio),Xe=Math.round(this.painter.height/devicePixelRatio);Q.bindFramebuffer.set(this.getFramebuffer(\"coords\").framebuffer),ee.readPixels(le,Xe-qe-1,1,1,ee.RGBA,ee.UNSIGNED_BYTE,B),Q.bindFramebuffer.set(null);let ot=B[0]+(B[2]>>4<<8),Tt=B[1]+((15&B[2])<<8),Kt=this.coordsIndex[255-B[3]],Jt=Kt&&this.sourceCache.getTileByID(Kt);if(!Jt)return null;let xr=this._coordsTextureSize,Pr=(1<<Jt.tileID.canonical.z)*xr;return new a.Z((Jt.tileID.canonical.x*xr+ot)/Pr+Jt.tileID.wrap,(Jt.tileID.canonical.y*xr+Tt)/Pr,this.getElevation(Jt.tileID,ot,Tt,xr))}depthAtPoint(w){let B=new Uint8Array(4),Q=this.painter.context,ee=Q.gl;return Q.bindFramebuffer.set(this.getFramebuffer(\"depth\").framebuffer),ee.readPixels(w.x,this.painter.height/devicePixelRatio-w.y-1,1,1,ee.RGBA,ee.UNSIGNED_BYTE,B),Q.bindFramebuffer.set(null),(B[0]/16777216+B[1]/65536+B[2]/256+B[3])/256}getTerrainMesh(){if(this._mesh)return this._mesh;let w=this.painter.context,B=new a.bd,Q=new a.aY,ee=this.meshSize,le=a.X/ee,qe=ee*ee;for(let Jt=0;Jt<=ee;Jt++)for(let xr=0;xr<=ee;xr++)B.emplaceBack(xr*le,Jt*le,0);for(let Jt=0;Jt<qe;Jt+=ee+1)for(let xr=0;xr<ee;xr++)Q.emplaceBack(xr+Jt,ee+xr+Jt+1,ee+xr+Jt+2),Q.emplaceBack(xr+Jt,ee+xr+Jt+2,xr+Jt+1);let Xe=B.length,ot=Xe+2*(ee+1);for(let Jt of[0,1])for(let xr=0;xr<=ee;xr++)for(let Pr of[0,1])B.emplaceBack(xr*le,Jt*a.X,Pr);for(let Jt=0;Jt<2*ee;Jt+=2)Q.emplaceBack(ot+Jt,ot+Jt+1,ot+Jt+3),Q.emplaceBack(ot+Jt,ot+Jt+3,ot+Jt+2),Q.emplaceBack(Xe+Jt,Xe+Jt+3,Xe+Jt+1),Q.emplaceBack(Xe+Jt,Xe+Jt+2,Xe+Jt+3);let Tt=B.length,Kt=Tt+2*(ee+1);for(let Jt of[0,1])for(let xr=0;xr<=ee;xr++)for(let Pr of[0,1])B.emplaceBack(Jt*a.X,xr*le,Pr);for(let Jt=0;Jt<2*ee;Jt+=2)Q.emplaceBack(Tt+Jt,Tt+Jt+1,Tt+Jt+3),Q.emplaceBack(Tt+Jt,Tt+Jt+3,Tt+Jt+2),Q.emplaceBack(Kt+Jt,Kt+Jt+3,Kt+Jt+1),Q.emplaceBack(Kt+Jt,Kt+Jt+2,Kt+Jt+3);return this._mesh=new Eu(w.createVertexBuffer(B,Ka.members),w.createIndexBuffer(Q),a.a0.simpleSegment(0,0,B.length,Q.length)),this._mesh}getMeshFrameDelta(w){return 2*Math.PI*a.be/Math.pow(2,w)/5}getMinTileElevationForLngLatZoom(w,B){var Q;let{tileID:ee}=this._getOverscaledTileIDFromLngLatZoom(w,B);return(Q=this.getMinMaxElevation(ee).minElevation)!==null&&Q!==void 0?Q:0}getMinMaxElevation(w){let B=this.getTerrainData(w).tile,Q={minElevation:null,maxElevation:null};return B&&B.dem&&(Q.minElevation=B.dem.min*this.exaggeration,Q.maxElevation=B.dem.max*this.exaggeration),Q}_getOverscaledTileIDFromLngLatZoom(w,B){let Q=a.Z.fromLngLat(w.wrap()),ee=(1<<B)*a.X,le=Q.x*ee,qe=Q.y*ee,Xe=Math.floor(le/a.X),ot=Math.floor(qe/a.X);return{tileID:new a.S(B,0,B,Xe,ot),mercatorX:le,mercatorY:qe}}}class Ms{constructor(w,B,Q){this._context=w,this._size=B,this._tileSize=Q,this._objects=[],this._recentlyUsed=[],this._stamp=0}destruct(){for(let w of this._objects)w.texture.destroy(),w.fbo.destroy()}_createObject(w){let B=this._context.createFramebuffer(this._tileSize,this._tileSize,!0,!0),Q=new g(this._context,{width:this._tileSize,height:this._tileSize,data:null},this._context.gl.RGBA);return Q.bind(this._context.gl.LINEAR,this._context.gl.CLAMP_TO_EDGE),B.depthAttachment.set(this._context.createRenderbuffer(this._context.gl.DEPTH_STENCIL,this._tileSize,this._tileSize)),B.colorAttachment.set(Q.texture),{id:w,fbo:B,texture:Q,stamp:-1,inUse:!1}}getObjectForId(w){return this._objects[w]}useObject(w){w.inUse=!0,this._recentlyUsed=this._recentlyUsed.filter(B=>w.id!==B),this._recentlyUsed.push(w.id)}stampObject(w){w.stamp=++this._stamp}getOrCreateFreeObject(){for(let B of this._recentlyUsed)if(!this._objects[B].inUse)return this._objects[B];if(this._objects.length>=this._size)throw new Error(\"No free RenderPool available, call freeAllObjects() required!\");let w=this._createObject(this._objects.length);return this._objects.push(w),w}freeObject(w){w.inUse=!1}freeAllObjects(){for(let w of this._objects)this.freeObject(w)}isFull(){return!(this._objects.length<this._size)&&this._objects.some(w=>!w.inUse)===!1}}let os={background:!0,fill:!0,line:!0,raster:!0,hillshade:!0};class Ts{constructor(w,B){this.painter=w,this.terrain=B,this.pool=new Ms(w.context,30,B.sourceCache.tileSize*B.qualityFactor)}destruct(){this.pool.destruct()}getTexture(w){return this.pool.getObjectForId(w.rtt[this._stacks.length-1].id).texture}prepareForRender(w,B){this._stacks=[],this._prevType=null,this._rttTiles=[],this._renderableTiles=this.terrain.sourceCache.getRenderableTiles(),this._renderableLayerIds=w._order.filter(Q=>!w._layers[Q].isHidden(B)),this._coordsDescendingInv={};for(let Q in w.sourceCaches){this._coordsDescendingInv[Q]={};let ee=w.sourceCaches[Q].getVisibleCoordinates();for(let le of ee){let qe=this.terrain.sourceCache.getTerrainCoords(le);for(let Xe in qe)this._coordsDescendingInv[Q][Xe]||(this._coordsDescendingInv[Q][Xe]=[]),this._coordsDescendingInv[Q][Xe].push(qe[Xe])}}this._coordsDescendingInvStr={};for(let Q of w._order){let ee=w._layers[Q],le=ee.source;if(os[ee.type]&&!this._coordsDescendingInvStr[le]){this._coordsDescendingInvStr[le]={};for(let qe in this._coordsDescendingInv[le])this._coordsDescendingInvStr[le][qe]=this._coordsDescendingInv[le][qe].map(Xe=>Xe.key).sort().join()}}for(let Q of this._renderableTiles)for(let ee in this._coordsDescendingInvStr){let le=this._coordsDescendingInvStr[ee][Q.tileID.key];le&&le!==Q.rttCoords[ee]&&(Q.rtt=[])}}renderLayer(w){if(w.isHidden(this.painter.transform.zoom))return!1;let B=w.type,Q=this.painter,ee=this._renderableLayerIds[this._renderableLayerIds.length-1]===w.id;if(os[B]&&(this._prevType&&os[this._prevType]||this._stacks.push([]),this._prevType=B,this._stacks[this._stacks.length-1].push(w.id),!ee))return!0;if(os[this._prevType]||os[B]&&ee){this._prevType=B;let le=this._stacks.length-1,qe=this._stacks[le]||[];for(let Xe of this._renderableTiles){if(this.pool.isFull()&&(Ws(this.painter,this.terrain,this._rttTiles),this._rttTiles=[],this.pool.freeAllObjects()),this._rttTiles.push(Xe),Xe.rtt[le]){let Tt=this.pool.getObjectForId(Xe.rtt[le].id);if(Tt.stamp===Xe.rtt[le].stamp){this.pool.useObject(Tt);continue}}let ot=this.pool.getOrCreateFreeObject();this.pool.useObject(ot),this.pool.stampObject(ot),Xe.rtt[le]={id:ot.id,stamp:ot.stamp},Q.context.bindFramebuffer.set(ot.fbo.framebuffer),Q.context.clear({color:a.aM.transparent,stencil:0}),Q.currentStencilSource=void 0;for(let Tt=0;Tt<qe.length;Tt++){let Kt=Q.style._layers[qe[Tt]],Jt=Kt.source?this._coordsDescendingInv[Kt.source][Xe.tileID.key]:[Xe.tileID];Q.context.viewport.set([0,0,ot.fbo.width,ot.fbo.height]),Q._renderTileClippingMasks(Kt,Jt),Q.renderLayer(Q,Q.style.sourceCaches[Kt.source],Kt,Jt),Kt.source&&(Xe.rttCoords[Kt.source]=this._coordsDescendingInvStr[Kt.source][Xe.tileID.key])}}return Ws(this.painter,this.terrain,this._rttTiles),this._rttTiles=[],this.pool.freeAllObjects(),os[B]}return!1}}let Ho={\"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 \\u2318 + scroll to zoom the map\",\"CooperativeGesturesHandler.MobileHelpText\":\"Use two fingers to move the map\"},yl=o,Xs={hash:!1,interactive:!0,bearingSnap:7,attributionControl:La,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:a.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},Ps=ue=>{ue.touchstart=ue.dragStart,ue.touchmoveWindow=ue.dragMove,ue.touchend=ue.dragEnd},va={showCompass:!0,showZoom:!0,visualizePitch:!1};class no{constructor(w,B,Q=!1){this.mousedown=qe=>{this.startMouse(a.e({},qe,{ctrlKey:!0,preventDefault:()=>qe.preventDefault()}),c.mousePos(this.element,qe)),c.addEventListener(window,\"mousemove\",this.mousemove),c.addEventListener(window,\"mouseup\",this.mouseup)},this.mousemove=qe=>{this.moveMouse(qe,c.mousePos(this.element,qe))},this.mouseup=qe=>{this.mouseRotate.dragEnd(qe),this.mousePitch&&this.mousePitch.dragEnd(qe),this.offTemp()},this.touchstart=qe=>{qe.targetTouches.length!==1?this.reset():(this._startPos=this._lastPos=c.touchPos(this.element,qe.targetTouches)[0],this.startTouch(qe,this._startPos),c.addEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),c.addEventListener(window,\"touchend\",this.touchend))},this.touchmove=qe=>{qe.targetTouches.length!==1?this.reset():(this._lastPos=c.touchPos(this.element,qe.targetTouches)[0],this.moveTouch(qe,this._lastPos))},this.touchend=qe=>{qe.targetTouches.length===0&&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;let ee=w.dragRotate._mouseRotate.getClickTolerance(),le=w.dragRotate._mousePitch.getClickTolerance();this.element=B,this.mouseRotate=Wl({clickTolerance:ee,enable:!0}),this.touchRotate=(({enable:qe,clickTolerance:Xe,bearingDegreesPerPixelMoved:ot=.8})=>{let Tt=new uf;return new Wu({clickTolerance:Xe,move:(Kt,Jt)=>({bearingDelta:(Jt.x-Kt.x)*ot}),moveStateManager:Tt,enable:qe,assignEvents:Ps})})({clickTolerance:ee,enable:!0}),this.map=w,Q&&(this.mousePitch=ah({clickTolerance:le,enable:!0}),this.touchPitch=(({enable:qe,clickTolerance:Xe,pitchDegreesPerPixelMoved:ot=-.5})=>{let Tt=new uf;return new Wu({clickTolerance:Xe,move:(Kt,Jt)=>({pitchDelta:(Jt.y-Kt.y)*ot}),moveStateManager:Tt,enable:qe,assignEvents:Ps})})({clickTolerance:le,enable:!0})),c.addEventListener(B,\"mousedown\",this.mousedown),c.addEventListener(B,\"touchstart\",this.touchstart,{passive:!1}),c.addEventListener(B,\"touchcancel\",this.reset)}startMouse(w,B){this.mouseRotate.dragStart(w,B),this.mousePitch&&this.mousePitch.dragStart(w,B),c.disableDrag()}startTouch(w,B){this.touchRotate.dragStart(w,B),this.touchPitch&&this.touchPitch.dragStart(w,B),c.disableDrag()}moveMouse(w,B){let Q=this.map,{bearingDelta:ee}=this.mouseRotate.dragMove(w,B)||{};if(ee&&Q.setBearing(Q.getBearing()+ee),this.mousePitch){let{pitchDelta:le}=this.mousePitch.dragMove(w,B)||{};le&&Q.setPitch(Q.getPitch()+le)}}moveTouch(w,B){let Q=this.map,{bearingDelta:ee}=this.touchRotate.dragMove(w,B)||{};if(ee&&Q.setBearing(Q.getBearing()+ee),this.touchPitch){let{pitchDelta:le}=this.touchPitch.dragMove(w,B)||{};le&&Q.setPitch(Q.getPitch()+le)}}off(){let w=this.element;c.removeEventListener(w,\"mousedown\",this.mousedown),c.removeEventListener(w,\"touchstart\",this.touchstart,{passive:!1}),c.removeEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),c.removeEventListener(window,\"touchend\",this.touchend),c.removeEventListener(w,\"touchcancel\",this.reset),this.offTemp()}offTemp(){c.enableDrag(),c.removeEventListener(window,\"mousemove\",this.mousemove),c.removeEventListener(window,\"mouseup\",this.mouseup),c.removeEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),c.removeEventListener(window,\"touchend\",this.touchend)}}let _s;function is(ue,w,B){let Q=new a.N(ue.lng,ue.lat);if(ue=new a.N(ue.lng,ue.lat),w){let ee=new a.N(ue.lng-360,ue.lat),le=new a.N(ue.lng+360,ue.lat),qe=B.locationPoint(ue).distSqr(w);B.locationPoint(ee).distSqr(w)<qe?ue=ee:B.locationPoint(le).distSqr(w)<qe&&(ue=le)}for(;Math.abs(ue.lng-B.center.lng)>180;){let ee=B.locationPoint(ue);if(ee.x>=0&&ee.y>=0&&ee.x<=B.width&&ee.y<=B.height)break;ue.lng>B.center.lng?ue.lng-=360:ue.lng+=360}return ue.lng!==Q.lng&&B.locationPoint(ue).y>B.height/2-B.getHorizon()?ue:Q}let $l={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 ku(ue,w,B){let Q=ue.classList;for(let ee in $l)Q.remove(`maplibregl-${B}-anchor-${ee}`);Q.add(`maplibregl-${B}-anchor-${w}`)}class Yu extends a.E{constructor(w){if(super(),this._onKeyPress=B=>{let Q=B.code,ee=B.charCode||B.keyCode;Q!==\"Space\"&&Q!==\"Enter\"&&ee!==32&&ee!==13||this.togglePopup()},this._onMapClick=B=>{let Q=B.originalEvent.target,ee=this._element;this._popup&&(Q===ee||ee.contains(Q))&&this.togglePopup()},this._update=B=>{var Q;if(!this._map)return;let ee=this._map.loaded()&&!this._map.isMoving();((B==null?void 0:B.type)===\"terrain\"||(B==null?void 0:B.type)===\"render\"&&!ee)&&this._map.once(\"render\",this._update),this._lngLat=this._map.transform.renderWorldCopies?is(this._lngLat,this._flatPos,this._map.transform):(Q=this._lngLat)===null||Q===void 0?void 0:Q.wrap(),this._flatPos=this._pos=this._map.project(this._lngLat)._add(this._offset),this._map.terrain&&(this._flatPos=this._map.transform.locationPoint(this._lngLat)._add(this._offset));let le=\"\";this._rotationAlignment===\"viewport\"||this._rotationAlignment===\"auto\"?le=`rotateZ(${this._rotation}deg)`:this._rotationAlignment===\"map\"&&(le=`rotateZ(${this._rotation-this._map.getBearing()}deg)`);let qe=\"\";this._pitchAlignment===\"viewport\"||this._pitchAlignment===\"auto\"?qe=\"rotateX(0deg)\":this._pitchAlignment===\"map\"&&(qe=`rotateX(${this._map.getPitch()}deg)`),this._subpixelPositioning||B&&B.type!==\"moveend\"||(this._pos=this._pos.round()),c.setTransform(this._element,`${$l[this._anchor]} translate(${this._pos.x}px, ${this._pos.y}px) ${qe} ${le}`),u.frameAsync(new AbortController).then(()=>{this._updateOpacity(B&&B.type===\"moveend\")}).catch(()=>{})},this._onMove=B=>{if(!this._isDragging){let Q=this._clickTolerance||this._map._clickTolerance;this._isDragging=B.point.dist(this._pointerdownPos)>=Q}this._isDragging&&(this._pos=B.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",this._state===\"pending\"&&(this._state=\"active\",this.fire(new a.k(\"dragstart\"))),this.fire(new a.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),this._state===\"active\"&&this.fire(new a.k(\"dragend\")),this._state=\"inactive\"},this._addDragHandler=B=>{this._element.contains(B.originalEvent.target)&&(B.preventDefault(),this._positionDelta=B.point.sub(this._pos).add(this._offset),this._pointerdownPos=B.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=w&&w.anchor||\"center\",this._color=w&&w.color||\"#3FB1CE\",this._scale=w&&w.scale||1,this._draggable=w&&w.draggable||!1,this._clickTolerance=w&&w.clickTolerance||0,this._subpixelPositioning=w&&w.subpixelPositioning||!1,this._isDragging=!1,this._state=\"inactive\",this._rotation=w&&w.rotation||0,this._rotationAlignment=w&&w.rotationAlignment||\"auto\",this._pitchAlignment=w&&w.pitchAlignment&&w.pitchAlignment!==\"auto\"?w.pitchAlignment:this._rotationAlignment,this.setOpacity(),this.setOpacity(w==null?void 0:w.opacity,w==null?void 0:w.opacityWhenCovered),w&&w.element)this._element=w.element,this._offset=a.P.convert(w&&w.offset||[0,0]);else{this._defaultMarker=!0,this._element=c.create(\"div\");let B=c.createNS(\"http://www.w3.org/2000/svg\",\"svg\"),Q=41,ee=27;B.setAttributeNS(null,\"display\",\"block\"),B.setAttributeNS(null,\"height\",`${Q}px`),B.setAttributeNS(null,\"width\",`${ee}px`),B.setAttributeNS(null,\"viewBox\",`0 0 ${ee} ${Q}`);let le=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");le.setAttributeNS(null,\"stroke\",\"none\"),le.setAttributeNS(null,\"stroke-width\",\"1\"),le.setAttributeNS(null,\"fill\",\"none\"),le.setAttributeNS(null,\"fill-rule\",\"evenodd\");let qe=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");qe.setAttributeNS(null,\"fill-rule\",\"nonzero\");let Xe=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");Xe.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),Xe.setAttributeNS(null,\"fill\",\"#000000\");let ot=[{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(let Be of ot){let tt=c.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");tt.setAttributeNS(null,\"opacity\",\"0.04\"),tt.setAttributeNS(null,\"cx\",\"10.5\"),tt.setAttributeNS(null,\"cy\",\"5.80029008\"),tt.setAttributeNS(null,\"rx\",Be.rx),tt.setAttributeNS(null,\"ry\",Be.ry),Xe.appendChild(tt)}let Tt=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");Tt.setAttributeNS(null,\"fill\",this._color);let Kt=c.createNS(\"http://www.w3.org/2000/svg\",\"path\");Kt.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\"),Tt.appendChild(Kt);let Jt=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");Jt.setAttributeNS(null,\"opacity\",\"0.25\"),Jt.setAttributeNS(null,\"fill\",\"#000000\");let xr=c.createNS(\"http://www.w3.org/2000/svg\",\"path\");xr.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\"),Jt.appendChild(xr);let Pr=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");Pr.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),Pr.setAttributeNS(null,\"fill\",\"#FFFFFF\");let ve=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");ve.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");let be=c.createNS(\"http://www.w3.org/2000/svg\",\"circle\");be.setAttributeNS(null,\"fill\",\"#000000\"),be.setAttributeNS(null,\"opacity\",\"0.25\"),be.setAttributeNS(null,\"cx\",\"5.5\"),be.setAttributeNS(null,\"cy\",\"5.5\"),be.setAttributeNS(null,\"r\",\"5.4999962\");let Re=c.createNS(\"http://www.w3.org/2000/svg\",\"circle\");Re.setAttributeNS(null,\"fill\",\"#FFFFFF\"),Re.setAttributeNS(null,\"cx\",\"5.5\"),Re.setAttributeNS(null,\"cy\",\"5.5\"),Re.setAttributeNS(null,\"r\",\"5.4999962\"),ve.appendChild(be),ve.appendChild(Re),qe.appendChild(Xe),qe.appendChild(Tt),qe.appendChild(Jt),qe.appendChild(Pr),qe.appendChild(ve),B.appendChild(qe),B.setAttributeNS(null,\"height\",Q*this._scale+\"px\"),B.setAttributeNS(null,\"width\",ee*this._scale+\"px\"),this._element.appendChild(B),this._offset=a.P.convert(w&&w.offset||[0,-14])}if(this._element.classList.add(\"maplibregl-marker\"),this._element.addEventListener(\"dragstart\",B=>{B.preventDefault()}),this._element.addEventListener(\"mousedown\",B=>{B.preventDefault()}),ku(this._element,this._anchor,\"marker\"),w&&w.className)for(let B of w.className.split(\" \"))this._element.classList.add(B);this._popup=null}addTo(w){return this.remove(),this._map=w,this._element.setAttribute(\"aria-label\",w._getUIString(\"Marker.Title\")),w.getCanvasContainer().appendChild(this._element),w.on(\"move\",this._update),w.on(\"moveend\",this._update),w.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),c.remove(this._element),this._popup&&this._popup.remove(),this}getLngLat(){return this._lngLat}setLngLat(w){return this._lngLat=a.N.convert(w),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this}getElement(){return this._element}setPopup(w){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),w){if(!(\"offset\"in w.options)){let ee=Math.abs(13.5)/Math.SQRT2;w.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[ee,-1*(38.1-13.5+ee)],\"bottom-right\":[-ee,-1*(38.1-13.5+ee)],left:[13.5,-1*(38.1-13.5)],right:[-13.5,-1*(38.1-13.5)]}:this._offset}this._popup=w,this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this}setSubpixelPositioning(w){return this._subpixelPositioning=w,this}getPopup(){return this._popup}togglePopup(){let w=this._popup;return this._element.style.opacity===this._opacityWhenCovered?this:w?(w.isOpen()?w.remove():(w.setLngLat(this._lngLat),w.addTo(this._map)),this):this}_updateOpacity(w=!1){var B,Q;if(!(!((B=this._map)===null||B===void 0)&&B.terrain))return void(this._element.style.opacity!==this._opacity&&(this._element.style.opacity=this._opacity));if(w)this._opacityTimeout=null;else{if(this._opacityTimeout)return;this._opacityTimeout=setTimeout(()=>{this._opacityTimeout=null},100)}let ee=this._map,le=ee.terrain.depthAtPoint(this._pos),qe=ee.terrain.getElevationForLngLatZoom(this._lngLat,ee.transform.tileZoom);if(ee.transform.lngLatToCameraDepth(this._lngLat,qe)-le<.006)return void(this._element.style.opacity=this._opacity);let Xe=-this._offset.y/ee.transform._pixelPerMeter,ot=Math.sin(ee.getPitch()*Math.PI/180)*Xe,Tt=ee.terrain.depthAtPoint(new a.P(this._pos.x,this._pos.y-this._offset.y)),Kt=ee.transform.lngLatToCameraDepth(this._lngLat,qe+ot)-Tt>.006;!((Q=this._popup)===null||Q===void 0)&&Q.isOpen()&&Kt&&this._popup.remove(),this._element.style.opacity=Kt?this._opacityWhenCovered:this._opacity}getOffset(){return this._offset}setOffset(w){return this._offset=a.P.convert(w),this._update(),this}addClassName(w){this._element.classList.add(w)}removeClassName(w){this._element.classList.remove(w)}toggleClassName(w){return this._element.classList.toggle(w)}setDraggable(w){return this._draggable=!!w,this._map&&(w?(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(w){return this._rotation=w||0,this._update(),this}getRotation(){return this._rotation}setRotationAlignment(w){return this._rotationAlignment=w||\"auto\",this._update(),this}getRotationAlignment(){return this._rotationAlignment}setPitchAlignment(w){return this._pitchAlignment=w&&w!==\"auto\"?w:this._rotationAlignment,this._update(),this}getPitchAlignment(){return this._pitchAlignment}setOpacity(w,B){return w===void 0&&B===void 0&&(this._opacity=\"1\",this._opacityWhenCovered=\"0.2\"),w!==void 0&&(this._opacity=w),B!==void 0&&(this._opacityWhenCovered=B),this._map&&this._updateOpacity(!0),this}}let Nc={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0},gu=0,Uc=!1,xu={maxWidth:100,unit:\"metric\"};function Ac(ue,w,B){let Q=B&&B.maxWidth||100,ee=ue._container.clientHeight/2,le=ue.unproject([0,ee]),qe=ue.unproject([Q,ee]),Xe=le.distanceTo(qe);if(B&&B.unit===\"imperial\"){let ot=3.2808*Xe;ot>5280?Ua(w,Q,ot/5280,ue._getUIString(\"ScaleControl.Miles\")):Ua(w,Q,ot,ue._getUIString(\"ScaleControl.Feet\"))}else B&&B.unit===\"nautical\"?Ua(w,Q,Xe/1852,ue._getUIString(\"ScaleControl.NauticalMiles\")):Xe>=1e3?Ua(w,Q,Xe/1e3,ue._getUIString(\"ScaleControl.Kilometers\")):Ua(w,Q,Xe,ue._getUIString(\"ScaleControl.Meters\"))}function Ua(ue,w,B,Q){let ee=function(le){let qe=Math.pow(10,`${Math.floor(le)}`.length-1),Xe=le/qe;return Xe=Xe>=10?10:Xe>=5?5:Xe>=3?3:Xe>=2?2:Xe>=1?1:function(ot){let Tt=Math.pow(10,Math.ceil(-Math.log(ot)/Math.LN10));return Math.round(ot*Tt)/Tt}(Xe),qe*Xe}(B);ue.style.width=w*(ee/B)+\"px\",ue.innerHTML=`${ee}&nbsp;${Q}`}let oo={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\",subpixelPositioning:!1},Vc=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \");function hc(ue){if(ue){if(typeof ue==\"number\"){let w=Math.round(Math.abs(ue)/Math.SQRT2);return{center:new a.P(0,0),top:new a.P(0,ue),\"top-left\":new a.P(w,w),\"top-right\":new a.P(-w,w),bottom:new a.P(0,-ue),\"bottom-left\":new a.P(w,-w),\"bottom-right\":new a.P(-w,-w),left:new a.P(ue,0),right:new a.P(-ue,0)}}if(ue instanceof a.P||Array.isArray(ue)){let w=a.P.convert(ue);return{center:w,top:w,\"top-left\":w,\"top-right\":w,bottom:w,\"bottom-left\":w,\"bottom-right\":w,left:w,right:w}}return{center:a.P.convert(ue.center||[0,0]),top:a.P.convert(ue.top||[0,0]),\"top-left\":a.P.convert(ue[\"top-left\"]||[0,0]),\"top-right\":a.P.convert(ue[\"top-right\"]||[0,0]),bottom:a.P.convert(ue.bottom||[0,0]),\"bottom-left\":a.P.convert(ue[\"bottom-left\"]||[0,0]),\"bottom-right\":a.P.convert(ue[\"bottom-right\"]||[0,0]),left:a.P.convert(ue.left||[0,0]),right:a.P.convert(ue.right||[0,0])}}return hc(new a.P(0,0))}let Ku=o;i.AJAXError=a.bh,i.Evented=a.E,i.LngLat=a.N,i.MercatorCoordinate=a.Z,i.Point=a.P,i.addProtocol=a.bi,i.config=a.a,i.removeProtocol=a.bj,i.AttributionControl=Na,i.BoxZoomHandler=Cu,i.CanvasSource=$t,i.CooperativeGesturesHandler=$i,i.DoubleClickZoomHandler=Ei,i.DragPanHandler=Tn,i.DragRotateHandler=Bn,i.EdgeInsets=du,i.FullscreenControl=class extends a.E{constructor(ue={}){super(),this._onFullscreenChange=()=>{var w;let B=window.document.fullscreenElement||window.document.mozFullScreenElement||window.document.webkitFullscreenElement||window.document.msFullscreenElement;for(;!((w=B==null?void 0:B.shadowRoot)===null||w===void 0)&&w.fullscreenElement;)B=B.shadowRoot.fullscreenElement;B===this._container!==this._fullscreen&&this._handleFullscreenChange()},this._onClickFullscreen=()=>{this._isFullscreen()?this._exitFullscreen():this._requestFullscreen()},this._fullscreen=!1,ue&&ue.container&&(ue.container instanceof HTMLElement?this._container=ue.container:a.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(ue){return this._map=ue,this._container||(this._container=this._map.getContainer()),this._controlContainer=c.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._setupUI(),this._controlContainer}onRemove(){c.remove(this._controlContainer),this._map=null,window.document.removeEventListener(this._fullscreenchange,this._onFullscreenChange)}_setupUI(){let ue=this._fullscreenButton=c.create(\"button\",\"maplibregl-ctrl-fullscreen\",this._controlContainer);c.create(\"span\",\"maplibregl-ctrl-icon\",ue).setAttribute(\"aria-hidden\",\"true\"),ue.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),window.document.addEventListener(this._fullscreenchange,this._onFullscreenChange)}_updateTitle(){let ue=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",ue),this._fullscreenButton.title=ue}_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 a.k(\"fullscreenstart\")),this._prevCooperativeGesturesEnabled=this._map.cooperativeGestures.isEnabled(),this._map.cooperativeGestures.disable()):(this.fire(new a.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()}},i.GeoJSONSource=st,i.GeolocateControl=class extends a.E{constructor(ue){super(),this._onSuccess=w=>{if(this._map){if(this._isOutOfMapMaxBounds(w))return this._setErrorState(),this.fire(new a.k(\"outofmaxbounds\",w)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=w,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&&this._watchState!==\"OFF\"&&this._updateMarker(w),this.options.trackUserLocation&&this._watchState!==\"ACTIVE_LOCK\"||this._updateCamera(w),this.options.showUserLocation&&this._dotElement.classList.remove(\"maplibregl-user-location-dot-stale\"),this.fire(new a.k(\"geolocate\",w)),this._finish()}},this._updateCamera=w=>{let B=new a.N(w.coords.longitude,w.coords.latitude),Q=w.coords.accuracy,ee=this._map.getBearing(),le=a.e({bearing:ee},this.options.fitBoundsOptions),qe=ce.fromLngLat(B,Q);this._map.fitBounds(qe,le,{geolocateSource:!0})},this._updateMarker=w=>{if(w){let B=new a.N(w.coords.longitude,w.coords.latitude);this._accuracyCircleMarker.setLngLat(B).addTo(this._map),this._userLocationDotMarker.setLngLat(B).addTo(this._map),this._accuracy=w.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=w=>{if(this._map){if(this.options.trackUserLocation)if(w.code===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._geolocateButton.disabled=!0;let B=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=B,this._geolocateButton.setAttribute(\"aria-label\",B),this._geolocationWatchID!==void 0&&this._clearWatch()}else{if(w.code===3&&Uc)return;this._setErrorState()}this._watchState!==\"OFF\"&&this.options.showUserLocation&&this._dotElement.classList.add(\"maplibregl-user-location-dot-stale\"),this.fire(new a.k(\"error\",w)),this._finish()}},this._finish=()=>{this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},this._setupUI=()=>{this._map&&(this._container.addEventListener(\"contextmenu\",w=>w.preventDefault()),this._geolocateButton=c.create(\"button\",\"maplibregl-ctrl-geolocate\",this._container),c.create(\"span\",\"maplibregl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",\"true\"),this._geolocateButton.type=\"button\",this._geolocateButton.disabled=!0)},this._finishSetupUI=w=>{if(this._map){if(w===!1){a.w(\"Geolocation support is not available so the GeolocateControl will be disabled.\");let B=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=B,this._geolocateButton.setAttribute(\"aria-label\",B)}else{let B=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.disabled=!1,this._geolocateButton.title=B,this._geolocateButton.setAttribute(\"aria-label\",B)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=c.create(\"div\",\"maplibregl-user-location-dot\"),this._userLocationDotMarker=new Yu({element:this._dotElement}),this._circleElement=c.create(\"div\",\"maplibregl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Yu({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\",B=>{B.geolocateSource||this._watchState!==\"ACTIVE_LOCK\"||B.originalEvent&&B.originalEvent.type===\"resize\"||(this._watchState=\"BACKGROUND\",this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this.fire(new a.k(\"trackuserlocationend\")),this.fire(new a.k(\"userlocationlostfocus\")))})}},this.options=a.e({},Nc,ue)}onAdd(ue){return this._map=ue,this._container=c.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._setupUI(),function(){return a._(this,arguments,void 0,function*(w=!1){if(_s!==void 0&&!w)return _s;if(window.navigator.permissions===void 0)return _s=!!window.navigator.geolocation,_s;try{_s=(yield window.navigator.permissions.query({name:\"geolocation\"})).state!==\"denied\"}catch(B){_s=!!window.navigator.geolocation}return _s})}().then(w=>this._finishSetupUI(w)),this._container}onRemove(){this._geolocationWatchID!==void 0&&(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(),c.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,gu=0,Uc=!1}_isOutOfMapMaxBounds(ue){let w=this._map.getMaxBounds(),B=ue.coords;return w&&(B.longitude<w.getWest()||B.longitude>w.getEast()||B.latitude<w.getSouth()||B.latitude>w.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 ${this._watchState}`)}}_updateCircleRadius(){let ue=this._map.getBounds(),w=ue.getSouthEast(),B=ue.getNorthEast(),Q=w.distanceTo(B),ee=Math.ceil(this._accuracy/(Q/this._map._container.clientHeight)*2);this._circleElement.style.width=`${ee}px`,this._circleElement.style.height=`${ee}px`}trigger(){if(!this._setup)return a.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 a.k(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":gu--,Uc=!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 a.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 a.k(\"trackuserlocationstart\")),this.fire(new a.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(this._watchState===\"OFF\"&&this._geolocationWatchID!==void 0)this._clearWatch();else if(this._geolocationWatchID===void 0){let ue;this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),gu++,gu>1?(ue={maximumAge:6e5,timeout:0},Uc=!0):(ue=this.options.positionOptions,Uc=!1),this._geolocationWatchID=window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,ue)}}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)}},i.Hash=bh,i.ImageSource=Gt,i.KeyboardHandler=Xt,i.LngLatBounds=ce,i.LogoControl=Yn,i.Map=class extends Ra{constructor(ue){a.bf.mark(a.bg.create);let w=Object.assign(Object.assign({},Xs),ue);if(w.minZoom!=null&&w.maxZoom!=null&&w.minZoom>w.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(w.minPitch!=null&&w.maxPitch!=null&&w.minPitch>w.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(w.minPitch!=null&&w.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(w.maxPitch!=null&&w.maxPitch>85)throw new Error(\"maxPitch must be less than or equal to 85\");if(super(new al(w.minZoom,w.maxZoom,w.minPitch,w.maxPitch,w.renderWorldCopies),{bearingSnap:w.bearingSnap}),this._idleTriggered=!1,this._crossFadingFactor=1,this._renderTaskQueue=new zn,this._controls=[],this._mapId=a.a4(),this._contextLost=B=>{B.preventDefault(),this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this.fire(new a.k(\"webglcontextlost\",{originalEvent:B}))},this._contextRestored=B=>{this._setupPainter(),this.resize(),this._update(),this.fire(new a.k(\"webglcontextrestored\",{originalEvent:B}))},this._onMapScroll=B=>{if(B.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},this._onWindowOnline=()=>{this._update()},this._interactive=w.interactive,this._maxTileCacheSize=w.maxTileCacheSize,this._maxTileCacheZoomLevels=w.maxTileCacheZoomLevels,this._failIfMajorPerformanceCaveat=w.failIfMajorPerformanceCaveat===!0,this._preserveDrawingBuffer=w.preserveDrawingBuffer===!0,this._antialias=w.antialias===!0,this._trackResize=w.trackResize===!0,this._bearingSnap=w.bearingSnap,this._refreshExpiredTiles=w.refreshExpiredTiles===!0,this._fadeDuration=w.fadeDuration,this._crossSourceCollisions=w.crossSourceCollisions===!0,this._collectResourceTiming=w.collectResourceTiming===!0,this._locale=Object.assign(Object.assign({},Ho),w.locale),this._clickTolerance=w.clickTolerance,this._overridePixelRatio=w.pixelRatio,this._maxCanvasSize=w.maxCanvasSize,this.transformCameraUpdate=w.transformCameraUpdate,this.cancelPendingTileRequestsWhileZooming=w.cancelPendingTileRequestsWhileZooming===!0,this._imageQueueHandle=p.addThrottleControl(()=>this.isMoving()),this._requestManager=new C(w.transformRequest),typeof w.container==\"string\"){if(this._container=document.getElementById(w.container),!this._container)throw new Error(`Container '${w.container}' not found.`)}else{if(!(w.container instanceof HTMLElement))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=w.container}if(w.maxBounds&&this.setMaxBounds(w.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}),typeof window!=\"undefined\"){addEventListener(\"online\",this._onWindowOnline,!1);let B=!1,Q=nh(ee=>{this._trackResize&&!this._removed&&(this.resize(ee),this.redraw())},50);this._resizeObserver=new ResizeObserver(ee=>{B?Q(ee):B=!0}),this._resizeObserver.observe(this._container)}this.handlers=new ka(this,w),this._hash=w.hash&&new bh(typeof w.hash==\"string\"&&w.hash||void 0).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:w.center,zoom:w.zoom,bearing:w.bearing,pitch:w.pitch}),w.bounds&&(this.resize(),this.fitBounds(w.bounds,a.e({},w.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=w.localIdeographFontFamily,this._validateStyle=w.validateStyle,w.style&&this.setStyle(w.style,{localIdeographFontFamily:w.localIdeographFontFamily}),w.attributionControl&&this.addControl(new Na(typeof w.attributionControl==\"boolean\"?void 0:w.attributionControl)),w.maplibreLogo&&this.addControl(new Yn,w.logoPosition),this.on(\"style.load\",()=>{this.transform.unmodified&&this.jumpTo(this.style.stylesheet)}),this.on(\"data\",B=>{this._update(B.dataType===\"style\"),this.fire(new a.k(`${B.dataType}data`,B))}),this.on(\"dataloading\",B=>{this.fire(new a.k(`${B.dataType}dataloading`,B))}),this.on(\"dataabort\",B=>{this.fire(new a.k(\"sourcedataabort\",B))})}_getMapId(){return this._mapId}addControl(ue,w){if(w===void 0&&(w=ue.getDefaultPosition?ue.getDefaultPosition():\"top-right\"),!ue||!ue.onAdd)return this.fire(new a.j(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));let B=ue.onAdd(this);this._controls.push(ue);let Q=this._controlPositions[w];return w.indexOf(\"bottom\")!==-1?Q.insertBefore(B,Q.firstChild):Q.appendChild(B),this}removeControl(ue){if(!ue||!ue.onRemove)return this.fire(new a.j(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));let w=this._controls.indexOf(ue);return w>-1&&this._controls.splice(w,1),ue.onRemove(this),this}hasControl(ue){return this._controls.indexOf(ue)>-1}calculateCameraOptionsFromTo(ue,w,B,Q){return Q==null&&this.terrain&&(Q=this.terrain.getElevationForLngLatZoom(B,this.transform.tileZoom)),super.calculateCameraOptionsFromTo(ue,w,B,Q)}resize(ue){var w;let B=this._containerDimensions(),Q=B[0],ee=B[1],le=this._getClampedPixelRatio(Q,ee);if(this._resizeCanvas(Q,ee,le),this.painter.resize(Q,ee,le),this.painter.overLimit()){let Xe=this.painter.context.gl;this._maxCanvasSize=[Xe.drawingBufferWidth,Xe.drawingBufferHeight];let ot=this._getClampedPixelRatio(Q,ee);this._resizeCanvas(Q,ee,ot),this.painter.resize(Q,ee,ot)}this.transform.resize(Q,ee),(w=this._requestedCameraState)===null||w===void 0||w.resize(Q,ee);let qe=!this._moving;return qe&&(this.stop(),this.fire(new a.k(\"movestart\",ue)).fire(new a.k(\"move\",ue))),this.fire(new a.k(\"resize\",ue)),qe&&this.fire(new a.k(\"moveend\",ue)),this}_getClampedPixelRatio(ue,w){let{0:B,1:Q}=this._maxCanvasSize,ee=this.getPixelRatio(),le=ue*ee,qe=w*ee;return Math.min(le>B?B/le:1,qe>Q?Q/qe:1)*ee}getPixelRatio(){var ue;return(ue=this._overridePixelRatio)!==null&&ue!==void 0?ue:devicePixelRatio}setPixelRatio(ue){this._overridePixelRatio=ue,this.resize()}getBounds(){return this.transform.getBounds()}getMaxBounds(){return this.transform.getMaxBounds()}setMaxBounds(ue){return this.transform.setMaxBounds(ce.convert(ue)),this._update()}setMinZoom(ue){if((ue=ue==null?-2:ue)>=-2&&ue<=this.transform.maxZoom)return this.transform.minZoom=ue,this._update(),this.getZoom()<ue&&this.setZoom(ue),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")}getMinZoom(){return this.transform.minZoom}setMaxZoom(ue){if((ue=ue==null?22:ue)>=this.transform.minZoom)return this.transform.maxZoom=ue,this._update(),this.getZoom()>ue&&this.setZoom(ue),this;throw new Error(\"maxZoom must be greater than the current minZoom\")}getMaxZoom(){return this.transform.maxZoom}setMinPitch(ue){if((ue=ue==null?0:ue)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(ue>=0&&ue<=this.transform.maxPitch)return this.transform.minPitch=ue,this._update(),this.getPitch()<ue&&this.setPitch(ue),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")}getMinPitch(){return this.transform.minPitch}setMaxPitch(ue){if((ue=ue==null?60:ue)>85)throw new Error(\"maxPitch must be less than or equal to 85\");if(ue>=this.transform.minPitch)return this.transform.maxPitch=ue,this._update(),this.getPitch()>ue&&this.setPitch(ue),this;throw new Error(\"maxPitch must be greater than the current minPitch\")}getMaxPitch(){return this.transform.maxPitch}getRenderWorldCopies(){return this.transform.renderWorldCopies}setRenderWorldCopies(ue){return this.transform.renderWorldCopies=ue,this._update()}project(ue){return this.transform.locationPoint(a.N.convert(ue),this.style&&this.terrain)}unproject(ue){return this.transform.pointLocation(a.P.convert(ue),this.terrain)}isMoving(){var ue;return this._moving||((ue=this.handlers)===null||ue===void 0?void 0:ue.isMoving())}isZooming(){var ue;return this._zooming||((ue=this.handlers)===null||ue===void 0?void 0:ue.isZooming())}isRotating(){var ue;return this._rotating||((ue=this.handlers)===null||ue===void 0?void 0:ue.isRotating())}_createDelegatedListener(ue,w,B){if(ue===\"mouseenter\"||ue===\"mouseover\"){let Q=!1;return{layers:w,listener:B,delegates:{mousemove:le=>{let qe=w.filter(ot=>this.getLayer(ot)),Xe=qe.length!==0?this.queryRenderedFeatures(le.point,{layers:qe}):[];Xe.length?Q||(Q=!0,B.call(this,new jl(ue,this,le.originalEvent,{features:Xe}))):Q=!1},mouseout:()=>{Q=!1}}}}if(ue===\"mouseleave\"||ue===\"mouseout\"){let Q=!1;return{layers:w,listener:B,delegates:{mousemove:qe=>{let Xe=w.filter(ot=>this.getLayer(ot));(Xe.length!==0?this.queryRenderedFeatures(qe.point,{layers:Xe}):[]).length?Q=!0:Q&&(Q=!1,B.call(this,new jl(ue,this,qe.originalEvent)))},mouseout:qe=>{Q&&(Q=!1,B.call(this,new jl(ue,this,qe.originalEvent)))}}}}{let Q=ee=>{let le=w.filter(Xe=>this.getLayer(Xe)),qe=le.length!==0?this.queryRenderedFeatures(ee.point,{layers:le}):[];qe.length&&(ee.features=qe,B.call(this,ee),delete ee.features)};return{layers:w,listener:B,delegates:{[ue]:Q}}}}_saveDelegatedListener(ue,w){this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[ue]=this._delegatedListeners[ue]||[],this._delegatedListeners[ue].push(w)}_removeDelegatedListener(ue,w,B){if(!this._delegatedListeners||!this._delegatedListeners[ue])return;let Q=this._delegatedListeners[ue];for(let ee=0;ee<Q.length;ee++){let le=Q[ee];if(le.listener===B&&le.layers.length===w.length&&le.layers.every(qe=>w.includes(qe))){for(let qe in le.delegates)this.off(qe,le.delegates[qe]);return void Q.splice(ee,1)}}}on(ue,w,B){if(B===void 0)return super.on(ue,w);let Q=this._createDelegatedListener(ue,typeof w==\"string\"?[w]:w,B);this._saveDelegatedListener(ue,Q);for(let ee in Q.delegates)this.on(ee,Q.delegates[ee]);return this}once(ue,w,B){if(B===void 0)return super.once(ue,w);let Q=typeof w==\"string\"?[w]:w,ee=this._createDelegatedListener(ue,Q,B);for(let le in ee.delegates){let qe=ee.delegates[le];ee.delegates[le]=(...Xe)=>{this._removeDelegatedListener(ue,Q,B),qe(...Xe)}}this._saveDelegatedListener(ue,ee);for(let le in ee.delegates)this.once(le,ee.delegates[le]);return this}off(ue,w,B){return B===void 0?super.off(ue,w):(this._removeDelegatedListener(ue,typeof w==\"string\"?[w]:w,B),this)}queryRenderedFeatures(ue,w){if(!this.style)return[];let B,Q=ue instanceof a.P||Array.isArray(ue),ee=Q?ue:[[0,0],[this.transform.width,this.transform.height]];if(w=w||(Q?{}:ue)||{},ee instanceof a.P||typeof ee[0]==\"number\")B=[a.P.convert(ee)];else{let le=a.P.convert(ee[0]),qe=a.P.convert(ee[1]);B=[le,new a.P(qe.x,le.y),qe,new a.P(le.x,qe.y),le]}return this.style.queryRenderedFeatures(B,w,this.transform)}querySourceFeatures(ue,w){return this.style.querySourceFeatures(ue,w)}setStyle(ue,w){return(w=a.e({},{localIdeographFontFamily:this._localIdeographFontFamily,validate:this._validateStyle},w)).diff!==!1&&w.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&ue?(this._diffStyle(ue,w),this):(this._localIdeographFontFamily=w.localIdeographFontFamily,this._updateStyle(ue,w))}setTransformRequest(ue){return this._requestManager.setTransformRequest(ue),this}_getUIString(ue){let w=this._locale[ue];if(w==null)throw new Error(`Missing UI string '${ue}'`);return w}_updateStyle(ue,w){if(w.transformStyle&&this.style&&!this.style._loaded)return void this.style.once(\"style.load\",()=>this._updateStyle(ue,w));let B=this.style&&w.transformStyle?this.style.serialize():void 0;return this.style&&(this.style.setEventedParent(null),this.style._remove(!ue)),ue?(this.style=new Ga(this,w||{}),this.style.setEventedParent(this,{style:this.style}),typeof ue==\"string\"?this.style.loadURL(ue,w,B):this.style.loadJSON(ue,w,B),this):(delete this.style,this)}_lazyInitEmptyStyle(){this.style||(this.style=new Ga(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())}_diffStyle(ue,w){if(typeof ue==\"string\"){let B=this._requestManager.transformRequest(ue,\"Style\");a.h(B,new AbortController).then(Q=>{this._updateDiff(Q.data,w)}).catch(Q=>{Q&&this.fire(new a.j(Q))})}else typeof ue==\"object\"&&this._updateDiff(ue,w)}_updateDiff(ue,w){try{this.style.setState(ue,w)&&this._update(!0)}catch(B){a.w(`Unable to perform style diff: ${B.message||B.error||B}.  Rebuilding the style from scratch.`),this._updateStyle(ue,w)}}getStyle(){if(this.style)return this.style.serialize()}isStyleLoaded(){return this.style?this.style.loaded():a.w(\"There is no style added to the map.\")}addSource(ue,w){return this._lazyInitEmptyStyle(),this.style.addSource(ue,w),this._update(!0)}isSourceLoaded(ue){let w=this.style&&this.style.sourceCaches[ue];if(w!==void 0)return w.loaded();this.fire(new a.j(new Error(`There is no source with ID '${ue}'`)))}setTerrain(ue){if(this.style._checkLoaded(),this._terrainDataCallback&&this.style.off(\"data\",this._terrainDataCallback),ue){let w=this.style.sourceCaches[ue.source];if(!w)throw new Error(`cannot load terrain, because there exists no source with ID: ${ue.source}`);this.terrain===null&&w.reload();for(let B in this.style._layers){let Q=this.style._layers[B];Q.type===\"hillshade\"&&Q.source===ue.source&&a.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 Xo(this.painter,w,ue),this.painter.renderToTexture=new Ts(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=B=>{B.dataType===\"style\"?this.terrain.sourceCache.freeRtt():B.dataType===\"source\"&&B.tile&&(B.sourceId!==ue.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(B.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 a.k(\"terrain\",{terrain:ue})),this}getTerrain(){var ue,w;return(w=(ue=this.terrain)===null||ue===void 0?void 0:ue.options)!==null&&w!==void 0?w:null}areTilesLoaded(){let ue=this.style&&this.style.sourceCaches;for(let w in ue){let B=ue[w]._tiles;for(let Q in B){let ee=B[Q];if(ee.state!==\"loaded\"&&ee.state!==\"errored\")return!1}}return!0}removeSource(ue){return this.style.removeSource(ue),this._update(!0)}getSource(ue){return this.style.getSource(ue)}addImage(ue,w,B={}){let{pixelRatio:Q=1,sdf:ee=!1,stretchX:le,stretchY:qe,content:Xe,textFitWidth:ot,textFitHeight:Tt}=B;if(this._lazyInitEmptyStyle(),!(w instanceof HTMLImageElement||a.b(w))){if(w.width===void 0||w.height===void 0)return this.fire(new a.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`\")));{let{width:Kt,height:Jt,data:xr}=w,Pr=w;return this.style.addImage(ue,{data:new a.R({width:Kt,height:Jt},new Uint8Array(xr)),pixelRatio:Q,stretchX:le,stretchY:qe,content:Xe,textFitWidth:ot,textFitHeight:Tt,sdf:ee,version:0,userImage:Pr}),Pr.onAdd&&Pr.onAdd(this,ue),this}}{let{width:Kt,height:Jt,data:xr}=u.getImageData(w);this.style.addImage(ue,{data:new a.R({width:Kt,height:Jt},xr),pixelRatio:Q,stretchX:le,stretchY:qe,content:Xe,textFitWidth:ot,textFitHeight:Tt,sdf:ee,version:0})}}updateImage(ue,w){let B=this.style.getImage(ue);if(!B)return this.fire(new a.j(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));let Q=w instanceof HTMLImageElement||a.b(w)?u.getImageData(w):w,{width:ee,height:le,data:qe}=Q;if(ee===void 0||le===void 0)return this.fire(new a.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(ee!==B.data.width||le!==B.data.height)return this.fire(new a.j(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));let Xe=!(w instanceof HTMLImageElement||a.b(w));return B.data.replace(qe,Xe),this.style.updateImage(ue,B),this}getImage(ue){return this.style.getImage(ue)}hasImage(ue){return ue?!!this.style.getImage(ue):(this.fire(new a.j(new Error(\"Missing required image id\"))),!1)}removeImage(ue){this.style.removeImage(ue)}loadImage(ue){return p.getImage(this._requestManager.transformRequest(ue,\"Image\"),new AbortController)}listImages(){return this.style.listImages()}addLayer(ue,w){return this._lazyInitEmptyStyle(),this.style.addLayer(ue,w),this._update(!0)}moveLayer(ue,w){return this.style.moveLayer(ue,w),this._update(!0)}removeLayer(ue){return this.style.removeLayer(ue),this._update(!0)}getLayer(ue){return this.style.getLayer(ue)}getLayersOrder(){return this.style.getLayersOrder()}setLayerZoomRange(ue,w,B){return this.style.setLayerZoomRange(ue,w,B),this._update(!0)}setFilter(ue,w,B={}){return this.style.setFilter(ue,w,B),this._update(!0)}getFilter(ue){return this.style.getFilter(ue)}setPaintProperty(ue,w,B,Q={}){return this.style.setPaintProperty(ue,w,B,Q),this._update(!0)}getPaintProperty(ue,w){return this.style.getPaintProperty(ue,w)}setLayoutProperty(ue,w,B,Q={}){return this.style.setLayoutProperty(ue,w,B,Q),this._update(!0)}getLayoutProperty(ue,w){return this.style.getLayoutProperty(ue,w)}setGlyphs(ue,w={}){return this._lazyInitEmptyStyle(),this.style.setGlyphs(ue,w),this._update(!0)}getGlyphs(){return this.style.getGlyphsUrl()}addSprite(ue,w,B={}){return this._lazyInitEmptyStyle(),this.style.addSprite(ue,w,B,Q=>{Q||this._update(!0)}),this}removeSprite(ue){return this._lazyInitEmptyStyle(),this.style.removeSprite(ue),this._update(!0)}getSprite(){return this.style.getSprite()}setSprite(ue,w={}){return this._lazyInitEmptyStyle(),this.style.setSprite(ue,w,B=>{B||this._update(!0)}),this}setLight(ue,w={}){return this._lazyInitEmptyStyle(),this.style.setLight(ue,w),this._update(!0)}getLight(){return this.style.getLight()}setSky(ue){return this._lazyInitEmptyStyle(),this.style.setSky(ue),this._update(!0)}getSky(){return this.style.getSky()}setFeatureState(ue,w){return this.style.setFeatureState(ue,w),this._update()}removeFeatureState(ue,w){return this.style.removeFeatureState(ue,w),this._update()}getFeatureState(ue){return this.style.getFeatureState(ue)}getContainer(){return this._container}getCanvasContainer(){return this._canvasContainer}getCanvas(){return this._canvas}_containerDimensions(){let ue=0,w=0;return this._container&&(ue=this._container.clientWidth||400,w=this._container.clientHeight||300),[ue,w]}_setupContainer(){let ue=this._container;ue.classList.add(\"maplibregl-map\");let w=this._canvasContainer=c.create(\"div\",\"maplibregl-canvas-container\",ue);this._interactive&&w.classList.add(\"maplibregl-interactive\"),this._canvas=c.create(\"canvas\",\"maplibregl-canvas\",w),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\");let B=this._containerDimensions(),Q=this._getClampedPixelRatio(B[0],B[1]);this._resizeCanvas(B[0],B[1],Q);let ee=this._controlContainer=c.create(\"div\",\"maplibregl-control-container\",ue),le=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach(qe=>{le[qe]=c.create(\"div\",`maplibregl-ctrl-${qe} `,ee)}),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)}_resizeCanvas(ue,w,B){this._canvas.width=Math.floor(B*ue),this._canvas.height=Math.floor(B*w),this._canvas.style.width=`${ue}px`,this._canvas.style.height=`${w}px`}_setupPainter(){let ue={alpha:!0,stencil:!0,depth:!0,failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1},w=null;this._canvas.addEventListener(\"webglcontextcreationerror\",Q=>{w={requestedAttributes:ue},Q&&(w.statusMessage=Q.statusMessage,w.type=Q.type)},{once:!0});let B=this._canvas.getContext(\"webgl2\",ue)||this._canvas.getContext(\"webgl\",ue);if(!B){let Q=\"Failed to initialize WebGL\";throw w?(w.message=Q,new Error(JSON.stringify(w))):new Error(Q)}this.painter=new Dc(B,this.transform),f.testSupport(B)}loaded(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()}_update(ue){return this.style&&this.style._loaded?(this._styleDirty=this._styleDirty||ue,this._sourcesDirty=!0,this.triggerRepaint(),this):this}_requestRenderFrame(ue){return this._update(),this._renderTaskQueue.add(ue)}_cancelRenderFrame(ue){this._renderTaskQueue.remove(ue)}_render(ue){let w=this._idleTriggered?this._fadeDuration:0;if(this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(ue),this._removed)return;let B=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;let ee=this.transform.zoom,le=u.now();this.style.zoomHistory.update(ee,le);let qe=new a.z(ee,{now:le,fadeDuration:w,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),Xe=qe.crossFadingFactor();Xe===1&&Xe===this._crossFadingFactor||(B=!0,this._crossFadingFactor=Xe),this.style.update(qe)}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,w,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:w,showPadding:this.showPadding}),this.fire(new a.k(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,a.bf.mark(a.bg.load),this.fire(new a.k(\"load\"))),this.style&&(this.style.hasTransitions()||B)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles();let Q=this._sourcesDirty||this._styleDirty||this._placementDirty;return Q||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new a.k(\"idle\")),!this._loaded||this._fullyLoaded||Q||(this._fullyLoaded=!0,a.bf.mark(a.bg.fullLoad)),this}redraw(){return this.style&&(this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._render(0)),this}remove(){var ue;this._hash&&this._hash.remove();for(let B of this._controls)B.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),typeof window!=\"undefined\"&&removeEventListener(\"online\",this._onWindowOnline,!1),p.removeThrottleControl(this._imageQueueHandle),(ue=this._resizeObserver)===null||ue===void 0||ue.disconnect();let w=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");w!=null&&w.loseContext&&w.loseContext(),this._canvas.removeEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.removeEventListener(\"webglcontextlost\",this._contextLost,!1),c.remove(this._canvasContainer),c.remove(this._controlContainer),this._container.classList.remove(\"maplibregl-map\"),a.bf.clearMetrics(),this._removed=!0,this.fire(new a.k(\"remove\"))}triggerRepaint(){this.style&&!this._frameRequest&&(this._frameRequest=new AbortController,u.frameAsync(this._frameRequest).then(ue=>{a.bf.frame(ue),this._frameRequest=null,this._render(ue)}).catch(()=>{}))}get showTileBoundaries(){return!!this._showTileBoundaries}set showTileBoundaries(ue){this._showTileBoundaries!==ue&&(this._showTileBoundaries=ue,this._update())}get showPadding(){return!!this._showPadding}set showPadding(ue){this._showPadding!==ue&&(this._showPadding=ue,this._update())}get showCollisionBoxes(){return!!this._showCollisionBoxes}set showCollisionBoxes(ue){this._showCollisionBoxes!==ue&&(this._showCollisionBoxes=ue,ue?this.style._generateCollisionBoxes():this._update())}get showOverdrawInspector(){return!!this._showOverdrawInspector}set showOverdrawInspector(ue){this._showOverdrawInspector!==ue&&(this._showOverdrawInspector=ue,this._update())}get repaint(){return!!this._repaint}set repaint(ue){this._repaint!==ue&&(this._repaint=ue,this.triggerRepaint())}get vertices(){return!!this._vertices}set vertices(ue){this._vertices=ue,this._update()}get version(){return yl}getCameraTargetElevation(){return this.transform.elevation}},i.MapMouseEvent=jl,i.MapTouchEvent=lf,i.MapWheelEvent=Vh,i.Marker=Yu,i.NavigationControl=class{constructor(ue){this._updateZoomButtons=()=>{let w=this._map.getZoom(),B=w===this._map.getMaxZoom(),Q=w===this._map.getMinZoom();this._zoomInButton.disabled=B,this._zoomOutButton.disabled=Q,this._zoomInButton.setAttribute(\"aria-disabled\",B.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",Q.toString())},this._rotateCompassArrow=()=>{let w=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=w},this._setButtonTitle=(w,B)=>{let Q=this._map._getUIString(`NavigationControl.${B}`);w.title=Q,w.setAttribute(\"aria-label\",Q)},this.options=a.e({},va,ue),this._container=c.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",w=>w.preventDefault()),this.options.showZoom&&(this._zoomInButton=this._createButton(\"maplibregl-ctrl-zoom-in\",w=>this._map.zoomIn({},{originalEvent:w})),c.create(\"span\",\"maplibregl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",\"true\"),this._zoomOutButton=this._createButton(\"maplibregl-ctrl-zoom-out\",w=>this._map.zoomOut({},{originalEvent:w})),c.create(\"span\",\"maplibregl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",\"true\")),this.options.showCompass&&(this._compass=this._createButton(\"maplibregl-ctrl-compass\",w=>{this.options.visualizePitch?this._map.resetNorthPitch({},{originalEvent:w}):this._map.resetNorth({},{originalEvent:w})}),this._compassIcon=c.create(\"span\",\"maplibregl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",\"true\"))}onAdd(ue){return this._map=ue,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 no(this._map,this._compass,this.options.visualizePitch)),this._container}onRemove(){c.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}_createButton(ue,w){let B=c.create(\"button\",ue,this._container);return B.type=\"button\",B.addEventListener(\"click\",w),B}},i.Popup=class extends a.E{constructor(ue){super(),this.remove=()=>(this._content&&c.remove(this._content),this._container&&(c.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 a.k(\"close\"))),this),this._onMouseUp=w=>{this._update(w.point)},this._onMouseMove=w=>{this._update(w.point)},this._onDrag=w=>{this._update(w.point)},this._update=w=>{var B;if(!this._map||!this._lngLat&&!this._trackPointer||!this._content)return;if(!this._container){if(this._container=c.create(\"div\",\"maplibregl-popup\",this._map.getContainer()),this._tip=c.create(\"div\",\"maplibregl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className)for(let Xe of this.options.className.split(\" \"))this._container.classList.add(Xe);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._lngLat=this._map.transform.renderWorldCopies&&!this._trackPointer?is(this._lngLat,this._flatPos,this._map.transform):(B=this._lngLat)===null||B===void 0?void 0:B.wrap(),this._trackPointer&&!w)return;let Q=this._flatPos=this._pos=this._trackPointer&&w?w:this._map.project(this._lngLat);this._map.terrain&&(this._flatPos=this._trackPointer&&w?w:this._map.transform.locationPoint(this._lngLat));let ee=this.options.anchor,le=hc(this.options.offset);if(!ee){let Xe=this._container.offsetWidth,ot=this._container.offsetHeight,Tt;Tt=Q.y+le.bottom.y<ot?[\"top\"]:Q.y>this._map.transform.height-ot?[\"bottom\"]:[],Q.x<Xe/2?Tt.push(\"left\"):Q.x>this._map.transform.width-Xe/2&&Tt.push(\"right\"),ee=Tt.length===0?\"bottom\":Tt.join(\"-\")}let qe=Q.add(le[ee]);this.options.subpixelPositioning||(qe=qe.round()),c.setTransform(this._container,`${$l[ee]} translate(${qe.x}px,${qe.y}px)`),ku(this._container,ee,\"popup\")},this._onClose=()=>{this.remove()},this.options=a.e(Object.create(oo),ue)}addTo(ue){return this._map&&this.remove(),this._map=ue,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 a.k(\"open\")),this}isOpen(){return!!this._map}getLngLat(){return this._lngLat}setLngLat(ue){return this._lngLat=a.N.convert(ue),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(ue){return this.setDOMContent(document.createTextNode(ue))}setHTML(ue){let w=document.createDocumentFragment(),B=document.createElement(\"body\"),Q;for(B.innerHTML=ue;Q=B.firstChild,Q;)w.appendChild(Q);return this.setDOMContent(w)}getMaxWidth(){var ue;return(ue=this._container)===null||ue===void 0?void 0:ue.style.maxWidth}setMaxWidth(ue){return this.options.maxWidth=ue,this._update(),this}setDOMContent(ue){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=c.create(\"div\",\"maplibregl-popup-content\",this._container);return this._content.appendChild(ue),this._createCloseButton(),this._update(),this._focusFirstElement(),this}addClassName(ue){return this._container&&this._container.classList.add(ue),this}removeClassName(ue){return this._container&&this._container.classList.remove(ue),this}setOffset(ue){return this.options.offset=ue,this._update(),this}toggleClassName(ue){if(this._container)return this._container.classList.toggle(ue)}setSubpixelPositioning(ue){this.options.subpixelPositioning=ue}_createCloseButton(){this.options.closeButton&&(this._closeButton=c.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;let ue=this._container.querySelector(Vc);ue&&ue.focus()}},i.RasterDEMTileSource=Wt,i.RasterTileSource=pt,i.ScaleControl=class{constructor(ue){this._onMove=()=>{Ac(this._map,this._container,this.options)},this.setUnit=w=>{this.options.unit=w,Ac(this._map,this._container,this.options)},this.options=Object.assign(Object.assign({},xu),ue)}getDefaultPosition(){return\"bottom-left\"}onAdd(ue){return this._map=ue,this._container=c.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-scale\",ue.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container}onRemove(){c.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0}},i.ScrollZoomHandler=Kr,i.Style=Ga,i.TerrainControl=class{constructor(ue){this._toggleTerrain=()=>{this._map.getTerrain()?this._map.setTerrain(null):this._map.setTerrain(this.options),this._updateTerrainIcon()},this._updateTerrainIcon=()=>{this._terrainButton.classList.remove(\"maplibregl-ctrl-terrain\"),this._terrainButton.classList.remove(\"maplibregl-ctrl-terrain-enabled\"),this._map.terrain?(this._terrainButton.classList.add(\"maplibregl-ctrl-terrain-enabled\"),this._terrainButton.title=this._map._getUIString(\"TerrainControl.Disable\")):(this._terrainButton.classList.add(\"maplibregl-ctrl-terrain\"),this._terrainButton.title=this._map._getUIString(\"TerrainControl.Enable\"))},this.options=ue}onAdd(ue){return this._map=ue,this._container=c.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._terrainButton=c.create(\"button\",\"maplibregl-ctrl-terrain\",this._container),c.create(\"span\",\"maplibregl-ctrl-icon\",this._terrainButton).setAttribute(\"aria-hidden\",\"true\"),this._terrainButton.type=\"button\",this._terrainButton.addEventListener(\"click\",this._toggleTerrain),this._updateTerrainIcon(),this._map.on(\"terrain\",this._updateTerrainIcon),this._container}onRemove(){c.remove(this._container),this._map.off(\"terrain\",this._updateTerrainIcon),this._map=void 0}},i.TwoFingersTouchPitchHandler=Bc,i.TwoFingersTouchRotateHandler=cf,i.TwoFingersTouchZoomHandler=pu,i.TwoFingersTouchZoomRotateHandler=Zi,i.VectorTileSource=ct,i.VideoSource=Nt,i.addSourceType=(ue,w)=>a._(void 0,void 0,void 0,function*(){if(wr(ue))throw new Error(`A source type called \"${ue}\" already exists.`);((B,Q)=>{sr[B]=Q})(ue,w)}),i.clearPrewarmedResources=function(){let ue=me;ue&&(ue.isPreloaded()&&ue.numActive()===1?(ue.release(_e),me=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()\"))},i.getMaxParallelImageRequests=function(){return a.a.MAX_PARALLEL_IMAGE_REQUESTS},i.getRTLTextPluginStatus=function(){return er().getRTLTextPluginStatus()},i.getVersion=function(){return Ku},i.getWorkerCount=function(){return Me.workerCount},i.getWorkerUrl=function(){return a.a.WORKER_URL},i.importScriptInWorkers=function(ue){return Ae().broadcast(\"IS\",ue)},i.prewarm=function(){Se().acquire(_e)},i.setMaxParallelImageRequests=function(ue){a.a.MAX_PARALLEL_IMAGE_REQUESTS=ue},i.setRTLTextPlugin=function(ue,w){return er().setRTLTextPlugin(ue,w)},i.setWorkerCount=function(ue){Me.workerCount=ue},i.setWorkerUrl=function(ue){a.a.WORKER_URL=ue}});var n=e;return n})});var XHe=ye((Ixr,WHe)=>{\"use strict\";var iw=Dr(),OWt=iu().sanitizeHTML,qWt=TJ(),GHe=wx();function HHe(e,t){this.subplot=e,this.uid=e.uid+\"-\"+t,this.index=t,this.idSource=\"source-\"+this.uid,this.idLayer=GHe.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var ag=HHe.prototype;ag.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=o7(t)};ag.needsNewImage=function(e){var t=this.subplot.map;return t.getSource(this.idSource)&&this.sourceType===\"image\"&&e.sourcetype===\"image\"&&(this.source!==e.source||JSON.stringify(this.coordinates)!==JSON.stringify(e.coordinates))};ag.needsNewSource=function(e){return this.sourceType!==e.sourcetype||JSON.stringify(this.source)!==JSON.stringify(e.source)||this.layerType!==e.type};ag.needsNewLayer=function(e){return this.layerType!==e.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]};ag.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]};ag.updateImage=function(e){var t=this.subplot.map;t.getSource(this.idSource).updateImage({url:e.source,coordinates:e.coordinates});var r=this.findFollowingMapLayerId(this.lookupBelow());r!==null&&this.subplot.map.moveLayer(this.idLayer,r)};ag.updateSource=function(e){var t=this.subplot.map;if(t.getSource(this.idSource)&&t.removeSource(this.idSource),this.sourceType=e.sourcetype,this.source=e.source,!!o7(e)){var r=BWt(e);t.addSource(this.idSource,r)}};ag.findFollowingMapLayerId=function(e){if(e===\"traces\")for(var t=this.subplot.getMapLayers(),r=0;r<t.length;r++){var n=t[r].id;if(typeof n==\"string\"&&n.indexOf(GHe.traceLayerPrefix)===0){e=n;break}}return e};ag.updateLayer=function(e){var t=this.subplot,r=jHe(e),n=this.lookupBelow(),i=this.findFollowingMapLayerId(n);this.removeLayer(),o7(e)&&t.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":e.sourcelayer||\"\",type:e.type,minzoom:e.minzoom,maxzoom:e.maxzoom,layout:r.layout,paint:r.paint},i),this.layerType=e.type,this.below=n};ag.updateStyle=function(e){if(o7(e)){var t=jHe(e);this.subplot.setOptions(this.idLayer,\"setLayoutProperty\",t.layout),this.subplot.setOptions(this.idLayer,\"setPaintProperty\",t.paint)}};ag.removeLayer=function(){var e=this.subplot.map;e.getLayer(this.idLayer)&&e.removeLayer(this.idLayer)};ag.dispose=function(){var e=this.subplot.map;e.getLayer(this.idLayer)&&e.removeLayer(this.idLayer),e.getSource(this.idSource)&&e.removeSource(this.idSource)};function o7(e){if(!e.visible)return!1;var t=e.source;if(Array.isArray(t)&&t.length>0){for(var r=0;r<t.length;r++)if(typeof t[r]!=\"string\"||t[r].length===0)return!1;return!0}return iw.isPlainObject(t)||typeof t==\"string\"&&t.length>0}function jHe(e){var t={},r={};switch(e.type){case\"circle\":iw.extendFlat(r,{\"circle-radius\":e.circle.radius,\"circle-color\":e.color,\"circle-opacity\":e.opacity});break;case\"line\":iw.extendFlat(r,{\"line-width\":e.line.width,\"line-color\":e.color,\"line-opacity\":e.opacity,\"line-dasharray\":e.line.dash});break;case\"fill\":iw.extendFlat(r,{\"fill-color\":e.color,\"fill-outline-color\":e.fill.outlinecolor,\"fill-opacity\":e.opacity});break;case\"symbol\":var n=e.symbol,i=qWt(n.textposition,n.iconsize);iw.extendFlat(t,{\"icon-image\":n.icon+\"-15\",\"icon-size\":n.iconsize/10,\"text-field\":n.text,\"text-size\":n.textfont.size,\"text-anchor\":i.anchor,\"text-offset\":i.offset,\"symbol-placement\":n.placement}),iw.extendFlat(r,{\"icon-color\":e.color,\"text-color\":n.textfont.color,\"text-opacity\":e.opacity});break;case\"raster\":iw.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":e.opacity});break}return{layout:t,paint:r}}function BWt(e){var t=e.sourcetype,r=e.source,n={type:t},i;return t===\"geojson\"?i=\"data\":t===\"vector\"?i=typeof r==\"string\"?\"url\":\"tiles\":t===\"raster\"?(i=\"tiles\",n.tileSize=256):t===\"image\"&&(i=\"url\",n.coordinates=e.coordinates),n[i]=r,e.sourceattribution&&(n.attribution=OWt(e.sourceattribution)),n}WHe.exports=function(t,r,n){var i=new HHe(t,r);return i.update(n),i}});var tje=ye((Rxr,eje)=>{\"use strict\";var kJ=VHe(),LJ=Dr(),KHe=nx(),ZHe=qa(),NWt=ho(),UWt=gv(),s7=vf(),JHe=Sg(),VWt=JHe.drawMode,GWt=JHe.selectMode,HWt=zf().prepSelect,jWt=zf().clearOutline,WWt=zf().clearSelectionsCache,XWt=zf().selectOnClick,nw=wx(),ZWt=XHe();function $He(e,t){this.id=t,this.gd=e;var r=e._fullLayout,n=e._context;this.container=r._glcontainer.node(),this.isStatic=n.staticPlot,this.uid=r._uid+\"-\"+this.id,this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(r),this.map=null,this.styleObj=null,this.traceHash={},this.layerList=[],this.belowLookup={},this.dragging=!1,this.wheeling=!1}var Bh=$He.prototype;Bh.plot=function(e,t,r){var n=this,i;n.map?i=new Promise(function(a,o){n.updateMap(e,t,a,o)}):i=new Promise(function(a,o){n.createMap(e,t,a,o)}),r.push(i)};Bh.createMap=function(e,t,r,n){var i=this,a=t[i.id],o=i.styleObj=QHe(a.style),s=a.bounds,l=s?[[s.west,s.south],[s.east,s.north]]:null,u=i.map=new kJ.Map({container:i.div,style:o.style,center:PJ(a.center),zoom:a.zoom,bearing:a.bearing,pitch:a.pitch,maxBounds:l,interactive:!i.isStatic,preserveDrawingBuffer:i.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new kJ.AttributionControl({compact:!0})),c={};u.on(\"styleimagemissing\",function(h){var d=h.id;if(!c[d]&&d.includes(\"-15\")){c[d]=!0;var v=new Image(15,15);v.onload=function(){u.addImage(d,v)},v.crossOrigin=\"Anonymous\",v.src=\"https://unpkg.com/maki@2.1.0/icons/\"+d+\".svg\"}}),u.setTransformRequest(function(h){return h=h.replace(\"https://fonts.openmaptiles.org/Open Sans Extrabold\",\"https://fonts.openmaptiles.org/Open Sans Extra Bold\"),h=h.replace(\"https://tiles.basemaps.cartocdn.com/fonts/Open Sans Extrabold\",\"https://fonts.openmaptiles.org/Open Sans Extra Bold\"),h=h.replace(\"https://fonts.openmaptiles.org/Open Sans Regular,Arial Unicode MS Regular\",\"https://fonts.openmaptiles.org/Klokantech Noto Sans Regular\"),{url:h}}),u._canvas.style.left=\"0px\",u._canvas.style.top=\"0px\",i.rejectOnError(n),i.isStatic||i.initFx(e,t);var f=[];f.push(new Promise(function(h){u.once(\"load\",h)})),f=f.concat(KHe.fetchTraceGeoData(e)),Promise.all(f).then(function(){i.fillBelowLookup(e,t),i.updateData(e),i.updateLayout(t),i.resolveOnRender(r)}).catch(n)};Bh.updateMap=function(e,t,r,n){var i=this,a=i.map,o=t[this.id];i.rejectOnError(n);var s=[],l=QHe(o.style);JSON.stringify(i.styleObj)!==JSON.stringify(l)&&(i.styleObj=l,a.setStyle(l.style),i.traceHash={},s.push(new Promise(function(u){a.once(\"styledata\",u)}))),s=s.concat(KHe.fetchTraceGeoData(e)),Promise.all(s).then(function(){i.fillBelowLookup(e,t),i.updateData(e),i.updateLayout(t),i.resolveOnRender(r)}).catch(n)};Bh.fillBelowLookup=function(e,t){var r=t[this.id],n=r.layers,i,a,o=this.belowLookup={},s=!1;for(i=0;i<e.length;i++){var l=e[i][0].trace,u=l._module;typeof l.below==\"string\"?a=l.below:u.getBelow&&(a=u.getBelow(l,this)),a===\"\"&&(s=!0),o[\"trace-\"+l.uid]=a||\"\"}for(i=0;i<n.length;i++){var c=n[i];typeof c.below==\"string\"?a=c.below:s?a=\"traces\":a=\"\",o[\"layout-\"+i]=a}var f={},h,d;for(h in o)a=o[h],f[a]?f[a].push(h):f[a]=[h];for(a in f){var v=f[a];if(v.length>1)for(i=0;i<v.length;i++)h=v[i],h.indexOf(\"trace-\")===0?(d=h.split(\"trace-\")[1],this.traceHash[d]&&(this.traceHash[d].below=null)):h.indexOf(\"layout-\")===0&&(d=h.split(\"layout-\")[1],this.layerList[d]&&(this.layerList[d].below=null))}};var YHe={choroplethmap:0,densitymap:1,scattermap:2};Bh.updateData=function(e){var t=this.traceHash,r,n,i,a,o=e.slice().sort(function(f,h){return YHe[f[0].trace.type]-YHe[h[0].trace.type]});for(i=0;i<o.length;i++){var s=o[i];n=s[0].trace,r=t[n.uid];var l=!1;r&&(r.type===n.type?(r.update(s),l=!0):r.dispose()),!l&&n._module&&(t[n.uid]=n._module.plot(this,s))}var u=Object.keys(t);e:for(i=0;i<u.length;i++){var c=u[i];for(a=0;a<e.length;a++)if(n=e[a][0].trace,c===n.uid)continue e;r=t[c],r.dispose(),delete t[c]}};Bh.updateLayout=function(e){var t=this.map,r=e[this.id];!this.dragging&&!this.wheeling&&(t.setCenter(PJ(r.center)),t.setZoom(r.zoom),t.setBearing(r.bearing),t.setPitch(r.pitch)),this.updateLayers(e),this.updateFramework(e),this.updateFx(e),this.map.resize(),this.gd._context._scrollZoom.map?t.scrollZoom.enable():t.scrollZoom.disable()};Bh.resolveOnRender=function(e){var t=this.map;t.on(\"render\",function r(){t.loaded()&&(t.off(\"render\",r),setTimeout(e,10))})};Bh.rejectOnError=function(e){var t=this.map;function r(){e(new Error(nw.mapOnErrorMsg))}t.once(\"error\",r),t.once(\"style.error\",r),t.once(\"source.error\",r),t.once(\"tile.error\",r),t.once(\"layer.error\",r)};Bh.createFramework=function(e){var t=this,r=t.div=document.createElement(\"div\");r.id=t.uid,r.style.position=\"absolute\",t.container.appendChild(r),t.xaxis={_id:\"x\",c2p:function(n){return t.project(n).x}},t.yaxis={_id:\"y\",c2p:function(n){return t.project(n).y}},t.updateFramework(e),t.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},NWt.setConvert(t.mockAxis,e)};Bh.initFx=function(e,t){var r=this,n=r.gd,i=r.map;i.on(\"moveend\",function(s){if(r.map){var l=n._fullLayout;if(s.originalEvent||r.wheeling){var u=l[r.id];ZHe.call(\"_storeDirectGUIEdit\",n.layout,l._preGUI,r.getViewEdits(u));var c=r.getView();u._input.center=u.center=c.center,u._input.zoom=u.zoom=c.zoom,u._input.bearing=u.bearing=c.bearing,u._input.pitch=u.pitch=c.pitch,n.emit(\"plotly_relayout\",r.getViewEditsWithDerived(c))}s.originalEvent&&s.originalEvent.type===\"mouseup\"?r.dragging=!1:r.wheeling&&(r.wheeling=!1),l&&l._rehover&&l._rehover()}}),i.on(\"wheel\",function(){r.wheeling=!0}),i.on(\"mousemove\",function(s){var l=r.div.getBoundingClientRect(),u=[s.originalEvent.offsetX,s.originalEvent.offsetY];s.target.getBoundingClientRect=function(){return l},r.xaxis.p2c=function(){return i.unproject(u).lng},r.yaxis.p2c=function(){return i.unproject(u).lat},n._fullLayout._rehover=function(){n._fullLayout._hoversubplot===r.id&&n._fullLayout[r.id]&&s7.hover(n,s,r.id)},s7.hover(n,s,r.id),n._fullLayout._hoversubplot=r.id});function a(){s7.loneUnhover(t._hoverlayer)}i.on(\"dragstart\",function(){r.dragging=!0,a()}),i.on(\"zoomstart\",a),i.on(\"mouseout\",function(){n._fullLayout._hoversubplot=null});function o(){var s=r.getView();n.emit(\"plotly_relayouting\",r.getViewEditsWithDerived(s))}i.on(\"drag\",o),i.on(\"zoom\",o),i.on(\"dblclick\",function(){var s=n._fullLayout[r.id];ZHe.call(\"_storeDirectGUIEdit\",n.layout,n._fullLayout._preGUI,r.getViewEdits(s));var l=r.viewInitial;i.setCenter(PJ(l.center)),i.setZoom(l.zoom),i.setBearing(l.bearing),i.setPitch(l.pitch);var u=r.getView();s._input.center=s.center=u.center,s._input.zoom=s.zoom=u.zoom,s._input.bearing=s.bearing=u.bearing,s._input.pitch=s.pitch=u.pitch,n.emit(\"plotly_doubleclick\",null),n.emit(\"plotly_relayout\",r.getViewEditsWithDerived(u))}),r.clearOutline=function(){WWt(r.dragOptions),jWt(r.dragOptions.gd)},r.onClickInPanFn=function(s){return function(l){var u=n._fullLayout.clickmode;u.indexOf(\"select\")>-1&&XWt(l.originalEvent,n,[r.xaxis],[r.yaxis],r.id,s),u.indexOf(\"event\")>-1&&s7.click(n,l.originalEvent)}}};Bh.updateFx=function(e){var t=this,r=t.map,n=t.gd;if(t.isStatic)return;function i(l){var u=t.map.unproject(l);return[u.lng,u.lat]}var a=e.dragmode,o;o=function(l,u){if(u.isRect){var c=l.range={};c[t.id]=[i([u.xmin,u.ymin]),i([u.xmax,u.ymax])]}else{var f=l.lassoPoints={};f[t.id]=u.map(i)}};var s=t.dragOptions;t.dragOptions=LJ.extendDeep(s||{},{dragmode:e.dragmode,element:t.div,gd:n,plotinfo:{id:t.id,domain:e[t.id].domain,xaxis:t.xaxis,yaxis:t.yaxis,fillRangeItems:o},xaxes:[t.xaxis],yaxes:[t.yaxis],subplot:t.id}),r.off(\"click\",t.onClickInPanHandler),GWt(a)||VWt(a)?(r.dragPan.disable(),r.on(\"zoomstart\",t.clearOutline),t.dragOptions.prepFn=function(l,u,c){HWt(l,u,c,t.dragOptions,a)},UWt.init(t.dragOptions)):(r.dragPan.enable(),r.off(\"zoomstart\",t.clearOutline),t.div.onmousedown=null,t.div.ontouchstart=null,t.div.removeEventListener(\"touchstart\",t.div._ontouchstart),t.onClickInPanHandler=t.onClickInPanFn(t.dragOptions),r.on(\"click\",t.onClickInPanHandler))};Bh.updateFramework=function(e){var t=e[this.id].domain,r=e._size,n=this.div.style;n.width=r.w*(t.x[1]-t.x[0])+\"px\",n.height=r.h*(t.y[1]-t.y[0])+\"px\",n.left=r.l+t.x[0]*r.w+\"px\",n.top=r.t+(1-t.y[1])*r.h+\"px\",this.xaxis._offset=r.l+t.x[0]*r.w,this.xaxis._length=r.w*(t.x[1]-t.x[0]),this.yaxis._offset=r.t+(1-t.y[1])*r.h,this.yaxis._length=r.h*(t.y[1]-t.y[0])};Bh.updateLayers=function(e){var t=e[this.id],r=t.layers,n=this.layerList,i;if(r.length!==n.length){for(i=0;i<n.length;i++)n[i].dispose();for(n=this.layerList=[],i=0;i<r.length;i++)n.push(ZWt(this,i,r[i]))}else for(i=0;i<r.length;i++)n[i].update(r[i])};Bh.destroy=function(){this.map&&(this.map.remove(),this.map=null,this.container.removeChild(this.div))};Bh.toImage=function(){return this.map.stop(),this.map.getCanvas().toDataURL()};Bh.setOptions=function(e,t,r){for(var n in r)this.map[t](e,n,r[n])};Bh.getMapLayers=function(){return this.map.getStyle().layers};Bh.addLayer=function(e,t){var r=this.map;if(typeof t==\"string\"){if(t===\"\"){r.addLayer(e,t);return}for(var n=this.getMapLayers(),i=0;i<n.length;i++)if(t===n[i].id){r.addLayer(e,t);return}LJ.warn([\"Trying to add layer with *below* value\",t,\"referencing a layer that does not exist\",\"or that does not yet exist.\"].join(\" \"))}r.addLayer(e)};Bh.project=function(e){return this.map.project(new kJ.LngLat(e[0],e[1]))};Bh.getView=function(){var e=this.map,t=e.getCenter(),r=t.lng,n=t.lat,i={lon:r,lat:n},a=e.getCanvas(),o=parseInt(a.style.width),s=parseInt(a.style.height);return{center:i,zoom:e.getZoom(),bearing:e.getBearing(),pitch:e.getPitch(),_derived:{coordinates:[e.unproject([0,0]).toArray(),e.unproject([o,0]).toArray(),e.unproject([o,s]).toArray(),e.unproject([0,s]).toArray()]}}};Bh.getViewEdits=function(e){for(var t=this.id,r=[\"center\",\"zoom\",\"bearing\",\"pitch\"],n={},i=0;i<r.length;i++){var a=r[i];n[t+\".\"+a]=e[a]}return n};Bh.getViewEditsWithDerived=function(e){var t=this.id,r=this.getViewEdits(e);return r[t+\"._derived\"]=e._derived,r};function QHe(e){var t={};return LJ.isPlainObject(e)?(t.id=e.id,t.style=e):typeof e==\"string\"?(t.id=e,nw.stylesMap[e]?t.style=nw.stylesMap[e]:t.style=e):(t.id=nw.styleValueDflt,t.style=YWt(nw.styleValueDflt)),t.transition={duration:0,delay:0},t}function YWt(e){return nw.styleUrlPrefix+e+\"-\"+nw.styleUrlSuffix}function PJ(e){return[e.lon,e.lat]}eje.exports=$He});var nje=ye((Dxr,ije)=>{\"use strict\";var IJ=Dr(),KWt=k_(),JWt=Yd(),rje=HC();ije.exports=function(t,r,n){KWt(t,r,n,{type:\"map\",attributes:rje,handleDefaults:$Wt,partition:\"y\"})};function $Wt(e,t,r){r(\"style\"),r(\"center.lon\"),r(\"center.lat\"),r(\"zoom\"),r(\"bearing\"),r(\"pitch\");var n=r(\"bounds.west\"),i=r(\"bounds.east\"),a=r(\"bounds.south\"),o=r(\"bounds.north\");(n===void 0||i===void 0||a===void 0||o===void 0)&&delete t.bounds,JWt(e,t,{name:\"layers\",handleItemDefaults:QWt}),t._input=e}function QWt(e,t){function r(l,u){return IJ.coerce(e,t,rje.layers,l,u)}var n=r(\"visible\");if(n){var i=r(\"sourcetype\"),a=i===\"raster\"||i===\"image\";r(\"source\"),r(\"sourceattribution\"),i===\"vector\"&&r(\"sourcelayer\"),i===\"image\"&&r(\"coordinates\");var o;a&&(o=\"raster\");var s=r(\"type\",o);a&&s!==\"raster\"&&(s=t.type=\"raster\",IJ.log(\"Source types *raster* and *image* must drawn *raster* layer type.\")),r(\"below\"),r(\"color\"),r(\"opacity\"),r(\"minzoom\"),r(\"maxzoom\"),s===\"circle\"&&r(\"circle.radius\"),s===\"line\"&&(r(\"line.width\"),r(\"line.dash\")),s===\"fill\"&&r(\"fill.outlinecolor\"),s===\"symbol\"&&(r(\"symbol.icon\"),r(\"symbol.iconsize\"),r(\"symbol.text\"),IJ.coerceFont(r,\"symbol.textfont\",void 0,{noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0}),r(\"symbol.textposition\"),r(\"symbol.placement\"))}}});var u7=ye(l0=>{\"use strict\";var l7=Dr(),aje=l7.strTranslate,eXt=l7.strScale,tXt=Id().getSubplotCalcData,rXt=Wp(),iXt=Oa(),oje=So(),nXt=iu(),aXt=tje(),Tx=\"map\";l0.name=Tx;l0.attr=\"subplot\";l0.idRoot=Tx;l0.idRegex=l0.attrRegex=l7.counterRegex(Tx);l0.attributes={subplot:{valType:\"subplotid\",dflt:\"map\",editType:\"calc\"}};l0.layoutAttributes=HC();l0.supplyLayoutDefaults=nje();l0.plot=function(t){for(var r=t._fullLayout,n=t.calcdata,i=r._subplots[Tx],a=0;a<i.length;a++){var o=i[a],s=tXt(n,Tx,o),l=r[o],u=l._subplot;u||(u=new aXt(t,o),r[o]._subplot=u),u.viewInitial||(u.viewInitial={center:l7.extendFlat({},l.center),zoom:l.zoom,bearing:l.bearing,pitch:l.pitch}),u.plot(s,r,t._promises)}};l0.clean=function(e,t,r,n){for(var i=n._subplots[Tx]||[],a=0;a<i.length;a++){var o=i[a];!t[o]&&n[o]._subplot&&n[o]._subplot.destroy()}};l0.toSVG=function(e){for(var t=e._fullLayout,r=t._subplots[Tx],n=t._size,i=0;i<r.length;i++){var a=t[r[i]],o=a.domain,s=a._subplot,l=s.toImage(\"png\"),u=t._glimages.append(\"svg:image\");u.attr({xmlns:rXt.svg,\"xlink:href\":l,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\"});var c=iXt.select(a._subplot.div),f=c.select(\".maplibregl-ctrl-attrib\").text().replace(\"Improve this map\",\"\"),h=t._glimages.append(\"g\"),d=h.append(\"text\");d.text(f).classed(\"static-attribution\",!0).attr({\"font-size\":12,\"font-family\":\"Arial\",color:\"rgba(0, 0, 0, 0.75)\",\"text-anchor\":\"end\",\"data-unformatted\":f});var v=oje.bBox(d.node()),x=n.w*(o.x[1]-o.x[0]);if(v.width>x/2){var b=f.split(\"|\").join(\"<br>\");d.text(b).attr(\"data-unformatted\",b).call(nXt.convertToTspans,e),v=oje.bBox(d.node())}d.attr(\"transform\",aje(-3,-v.height+8)),h.insert(\"rect\",\".static-attribution\").attr({x:-v.width-6,y:-v.height-3,width:v.width+6,height:v.height+3,fill:\"rgba(255, 255, 255, 0.75)\"});var p=1;v.width+6>x&&(p=x/(v.width+6));var C=[n.l+n.w*o.x[1],n.t+n.h*(1-o.y[0])];h.attr(\"transform\",aje(C[0],C[1])+eXt(p))}};l0.updateFx=function(e){for(var t=e._fullLayout,r=t._subplots[Tx],n=0;n<r.length;n++){var i=t[r[n]]._subplot;i.updateFx(t)}}});var lje=ye((zxr,sje)=>{\"use strict\";sje.exports={attributes:e7(),supplyDefaults:xHe(),colorbar:$d(),formatLabels:wJ(),calc:fF(),plot:DHe(),hoverPoints:a7().hoverPoints,eventData:qHe(),selectPoints:NHe(),styleOnSelect:function(e,t){if(t){var r=t[0].trace;r._glTrace.update(t)}},moduleType:\"trace\",name:\"scattermap\",basePlotModule:u7(),categories:[\"map\",\"gl\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}});var cje=ye((Oxr,uje)=>{\"use strict\";uje.exports=lje()});var RJ=ye((qxr,fje)=>{\"use strict\";var d1=JA(),oXt=Tu(),sXt=Qo().hovertemplateAttrs,lXt=Vl(),Ax=Ao().extendFlat;fje.exports=Ax({locations:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},geojson:{valType:\"any\",editType:\"calc\"},featureidkey:Ax({},d1.featureidkey,{}),below:{valType:\"string\",editType:\"plot\"},text:d1.text,hovertext:d1.hovertext,marker:{line:{color:Ax({},d1.marker.line.color,{editType:\"plot\"}),width:Ax({},d1.marker.line.width,{editType:\"plot\"}),editType:\"calc\"},opacity:Ax({},d1.marker.opacity,{editType:\"plot\"}),editType:\"calc\"},selected:{marker:{opacity:Ax({},d1.selected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:Ax({},d1.unselected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},hoverinfo:d1.hoverinfo,hovertemplate:sXt({},{keys:[\"properties\"]}),showlegend:Ax({},lXt.showlegend,{dflt:!1})},oXt(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))});var dje=ye((Bxr,hje)=>{\"use strict\";var ZC=Dr(),uXt=Jh(),cXt=RJ();hje.exports=function(t,r,n,i){function a(c,f){return ZC.coerce(t,r,cXt,c,f)}var o=a(\"locations\"),s=a(\"z\"),l=a(\"geojson\");if(!ZC.isArrayOrTypedArray(o)||!o.length||!ZC.isArrayOrTypedArray(s)||!s.length||!(typeof l==\"string\"&&l!==\"\"||ZC.isPlainObject(l))){r.visible=!1;return}a(\"featureidkey\"),r._length=Math.min(o.length,s.length),a(\"below\"),a(\"text\"),a(\"hovertext\"),a(\"hovertemplate\");var u=a(\"marker.line.width\");u&&a(\"marker.line.color\"),a(\"marker.opacity\"),uXt(t,r,i,a,{prefix:\"\",cLetter:\"z\"}),ZC.coerceSelectionMarkerOpacity(r,a)}});var DJ=ye((Nxr,gje)=>{\"use strict\";var fXt=Eo(),v1=Dr(),hXt=tc(),dXt=So(),vXt=rx().makeBlank,vje=nx();function pXt(e){var t=e[0].trace,r=t.visible===!0&&t._length!==0,n={layout:{visibility:\"none\"},paint:{}},i={layout:{visibility:\"none\"},paint:{}},a=t._opts={fill:n,line:i,geojson:vXt()};if(!r)return a;var o=vje.extractTraceFeature(e);if(!o)return a;var s=hXt.makeColorScaleFuncFromTrace(t),l=t.marker,u=l.line||{},c;v1.isArrayOrTypedArray(l.opacity)&&(c=function(C){var E=C.mo;return fXt(E)?+v1.constrain(E,0,1):0});var f;v1.isArrayOrTypedArray(u.color)&&(f=function(C){return C.mlc});var h;v1.isArrayOrTypedArray(u.width)&&(h=function(C){return C.mlw});for(var d=0;d<e.length;d++){var v=e[d],x=v.fOut;if(x){var b=x.properties;b.fc=s(v.z),c&&(b.mo=c(v)),f&&(b.mlc=f(v)),h&&(b.mlw=h(v)),v.ct=b.ct,v._polygons=vje.feature2polygons(x)}}var p=c?{type:\"identity\",property:\"mo\"}:l.opacity;return v1.extendFlat(n.paint,{\"fill-color\":{type:\"identity\",property:\"fc\"},\"fill-opacity\":p}),v1.extendFlat(i.paint,{\"line-color\":f?{type:\"identity\",property:\"mlc\"}:u.color,\"line-width\":h?{type:\"identity\",property:\"mlw\"}:u.width,\"line-opacity\":p}),n.layout.visibility=\"visible\",i.layout.visibility=\"visible\",a.geojson={type:\"FeatureCollection\",features:o},pje(e),a}function pje(e){var t=e[0].trace,r=t._opts,n;if(t.selectedpoints){for(var i=dXt.makeSelectedPointStyleFns(t),a=0;a<e.length;a++){var o=e[a];o.fOut&&(o.fOut.properties.mo2=i.selectedOpacityFn(o))}n={type:\"identity\",property:\"mo2\"}}else n=v1.isArrayOrTypedArray(t.marker.opacity)?{type:\"identity\",property:\"mo\"}:t.marker.opacity;return v1.extendFlat(r.fill.paint,{\"fill-opacity\":n}),v1.extendFlat(r.line.paint,{\"line-opacity\":n}),r}gje.exports={convert:pXt,convertOnSelect:pje}});var bje=ye((Uxr,xje)=>{\"use strict\";var yje=DJ().convert,gXt=DJ().convertOnSelect,mje=wx().traceLayerPrefix;function _je(e,t){this.type=\"choroplethmap\",this.subplot=e,this.uid=t,this.sourceId=\"source-\"+t,this.layerList=[[\"fill\",mje+t+\"-fill\"],[\"line\",mje+t+\"-line\"]],this.below=null}var E5=_je.prototype;E5.update=function(e){this._update(yje(e)),e[0].trace._glTrace=this};E5.updateOnSelect=function(e){this._update(gXt(e))};E5._update=function(e){var t=this.subplot,r=this.layerList,n=t.belowLookup[\"trace-\"+this.uid];t.map.getSource(this.sourceId).setData(e.geojson),n!==this.below&&(this._removeLayers(),this._addLayers(e,n),this.below=n);for(var i=0;i<r.length;i++){var a=r[i],o=a[0],s=a[1],l=e[o];t.setOptions(s,\"setLayoutProperty\",l.layout),l.layout.visibility===\"visible\"&&t.setOptions(s,\"setPaintProperty\",l.paint)}};E5._addLayers=function(e,t){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=e[s];r.addLayer({type:s,id:o[1],source:i,layout:l.layout,paint:l.paint},t)}};E5._removeLayers=function(){for(var e=this.subplot.map,t=this.layerList,r=t.length-1;r>=0;r--)e.removeLayer(t[r][1])};E5.dispose=function(){var e=this.subplot.map;this._removeLayers(),e.removeSource(this.sourceId)};xje.exports=function(t,r){var n=r[0].trace,i=new _je(t,n.uid),a=i.sourceId,o=yje(r),s=i.below=t.belowLookup[\"trace-\"+n.uid];return t.map.addSource(a,{type:\"geojson\",data:o.geojson}),i._addLayers(o,s),r[0].trace._glTrace=i,i}});var Tje=ye((Vxr,wje)=>{\"use strict\";wje.exports={attributes:RJ(),supplyDefaults:dje(),colorbar:M_(),calc:IF(),plot:bje(),hoverPoints:DF(),eventData:FF(),selectPoints:zF(),styleOnSelect:function(e,t){if(t){var r=t[0].trace;r._glTrace.updateOnSelect(t)}},getBelow:function(e,t){for(var r=t.getMapLayers(),n=r.length-2;n>=0;n--){var i=r[n].id;if(typeof i==\"string\"&&i.indexOf(\"water\")===0){for(var a=n+1;a<r.length;a++)if(i=r[a].id,typeof i==\"string\"&&i.indexOf(\"plotly-\")===-1)return i}}},moduleType:\"trace\",name:\"choroplethmap\",basePlotModule:u7(),categories:[\"map\",\"gl\",\"noOpacity\",\"showLegend\"],meta:{hr_name:\"choropleth_map\"}}});var Sje=ye((Gxr,Aje)=>{\"use strict\";Aje.exports=Tje()});var zJ=ye((Hxr,Eje)=>{\"use strict\";var mXt=Tu(),yXt=Qo().hovertemplateAttrs,Mje=Vl(),c7=e7(),FJ=Ao().extendFlat;Eje.exports=FJ({lon:c7.lon,lat:c7.lat,z:{valType:\"data_array\",editType:\"calc\"},radius:{valType:\"number\",editType:\"plot\",arrayOk:!0,min:1,dflt:30},below:{valType:\"string\",editType:\"plot\"},text:c7.text,hovertext:c7.hovertext,hoverinfo:FJ({},Mje.hoverinfo,{flags:[\"lon\",\"lat\",\"z\",\"text\",\"name\"]}),hovertemplate:yXt(),showlegend:FJ({},Mje.showlegend,{dflt:!1})},mXt(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))});var kje=ye((jxr,Cje)=>{\"use strict\";var _Xt=Dr(),xXt=Jh(),bXt=zJ();Cje.exports=function(t,r,n,i){function a(u,c){return _Xt.coerce(t,r,bXt,u,c)}var o=a(\"lon\")||[],s=a(\"lat\")||[],l=Math.min(o.length,s.length);if(!l){r.visible=!1;return}r._length=l,a(\"z\"),a(\"radius\"),a(\"below\"),a(\"text\"),a(\"hovertext\"),a(\"hovertemplate\"),xXt(t,r,i,a,{prefix:\"\",cLetter:\"z\"})}});var Ije=ye((Wxr,Pje)=>{\"use strict\";var OJ=Eo(),wXt=Dr().isArrayOrTypedArray,qJ=hs().BADNUM,TXt=Fv(),Lje=Dr()._;Pje.exports=function(t,r){for(var n=r._length,i=new Array(n),a=r.z,o=wXt(a)&&a.length,s=0;s<n;s++){var l=i[s]={},u=r.lon[s],c=r.lat[s];if(l.lonlat=OJ(u)&&OJ(c)?[+u,+c]:[qJ,qJ],o){var f=a[s];l.z=OJ(f)?f:qJ}}return TXt(t,r,{vals:o?a:[0,1],containerStr:\"\",cLetter:\"z\"}),n&&(i[0].t={labels:{lat:Lje(t,\"lat:\")+\" \",lon:Lje(t,\"lon:\")+\" \"}}),i}});var Oje=ye((Xxr,zje)=>{\"use strict\";var AXt=Eo(),BJ=Dr(),Rje=Ca(),Dje=tc(),Fje=hs().BADNUM,SXt=rx().makeBlank;zje.exports=function(t){var r=t[0].trace,n=r.visible===!0&&r._length!==0,i={layout:{visibility:\"none\"},paint:{}},a=r._opts={heatmap:i,geojson:SXt()};if(!n)return a;var o=[],s,l=r.z,u=r.radius,c=BJ.isArrayOrTypedArray(l)&&l.length,f=BJ.isArrayOrTypedArray(u);for(s=0;s<t.length;s++){var h=t[s],d=h.lonlat;if(d[0]!==Fje){var v={};if(c){var x=h.z;v.z=x!==Fje?x:0}f&&(v.r=AXt(u[s])&&u[s]>0?+u[s]:0),o.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:d},properties:v})}}var b=Dje.extractOpts(r),p=b.reversescale?Dje.flipScale(b.colorscale):b.colorscale,C=p[0][1],E=Rje.opacity(C)<1?C:Rje.addOpacity(C,0),A=[\"interpolate\",[\"linear\"],[\"heatmap-density\"],0,E];for(s=1;s<p.length;s++)A.push(p[s][0],p[s][1]);var L=[\"interpolate\",[\"linear\"],[\"get\",\"z\"],b.min,0,b.max,1];return BJ.extendFlat(a.heatmap.paint,{\"heatmap-weight\":c?L:1/(b.max-b.min),\"heatmap-color\":A,\"heatmap-radius\":f?{type:\"identity\",property:\"r\"}:r.radius,\"heatmap-opacity\":r.opacity}),a.geojson={type:\"FeatureCollection\",features:o},a.heatmap.layout.visibility=\"visible\",a}});var Uje=ye((Zxr,Nje)=>{\"use strict\";var qje=Oje(),MXt=wx().traceLayerPrefix;function Bje(e,t){this.type=\"densitymap\",this.subplot=e,this.uid=t,this.sourceId=\"source-\"+t,this.layerList=[[\"heatmap\",MXt+t+\"-heatmap\"]],this.below=null}var f7=Bje.prototype;f7.update=function(e){var t=this.subplot,r=this.layerList,n=qje(e),i=t.belowLookup[\"trace-\"+this.uid];t.map.getSource(this.sourceId).setData(n.geojson),i!==this.below&&(this._removeLayers(),this._addLayers(n,i),this.below=i);for(var a=0;a<r.length;a++){var o=r[a],s=o[0],l=o[1],u=n[s];t.setOptions(l,\"setLayoutProperty\",u.layout),u.layout.visibility===\"visible\"&&t.setOptions(l,\"setPaintProperty\",u.paint)}};f7._addLayers=function(e,t){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=e[s];r.addLayer({type:s,id:o[1],source:i,layout:l.layout,paint:l.paint},t)}};f7._removeLayers=function(){for(var e=this.subplot.map,t=this.layerList,r=t.length-1;r>=0;r--)e.removeLayer(t[r][1])};f7.dispose=function(){var e=this.subplot.map;this._removeLayers(),e.removeSource(this.sourceId)};Nje.exports=function(t,r){var n=r[0].trace,i=new Bje(t,n.uid),a=i.sourceId,o=qje(r),s=i.below=t.belowLookup[\"trace-\"+n.uid];return t.map.addSource(a,{type:\"geojson\",data:o.geojson}),i._addLayers(o,s),i}});var Gje=ye((Yxr,Vje)=>{\"use strict\";var EXt=ho(),CXt=a7().hoverPoints,kXt=a7().getExtraText;Vje.exports=function(t,r,n){var i=CXt(t,r,n);if(i){var a=i[0],o=a.cd,s=o[0].trace,l=o[a.index];if(delete a.color,\"z\"in l){var u=a.subplot.mockAxis;a.z=l.z,a.zLabel=EXt.tickText(u,u.c2l(l.z),\"hover\").text}return a.extraText=kXt(s,l,o[0].t.labels),[a]}}});var jje=ye((Kxr,Hje)=>{\"use strict\";Hje.exports=function(t,r){return t.lon=r.lon,t.lat=r.lat,t.z=r.z,t}});var Xje=ye((Jxr,Wje)=>{\"use strict\";Wje.exports={attributes:zJ(),supplyDefaults:kje(),colorbar:M_(),formatLabels:wJ(),calc:Ije(),plot:Uje(),hoverPoints:Gje(),eventData:jje(),getBelow:function(e,t){for(var r=t.getMapLayers(),n=0;n<r.length;n++){var i=r[n],a=i.id;if(i.type===\"symbol\"&&typeof a==\"string\"&&a.indexOf(\"plotly-\")===-1)return a}},moduleType:\"trace\",name:\"densitymap\",basePlotModule:u7(),categories:[\"map\",\"gl\",\"showLegend\"],meta:{hr_name:\"density_map\"}}});var Yje=ye(($xr,Zje)=>{\"use strict\";Zje.exports=Xje()});var UJ=ye((ebr,Qje)=>{\"use strict\";var LXt=ec(),PXt=Vl(),Kje=Eh(),NJ=i3(),IXt=kc().attributes,Jje=Qo().hovertemplateAttrs,RXt=Tu(),DXt=pl().templatedArray,FXt=df().descriptionOnlyNumbers,$je=Ao().extendFlat,zXt=mc().overrideAll,Qxr=Qje.exports=zXt({hoverinfo:$je({},PXt.hoverinfo,{flags:[],arrayOk:!1}),hoverlabel:NJ.hoverlabel,domain:IXt({name:\"sankey\",trace:!0}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"h\"},valueformat:{valType:\"string\",dflt:\".3s\",description:FXt(\"value\")},valuesuffix:{valType:\"string\",dflt:\"\"},arrangement:{valType:\"enumerated\",values:[\"snap\",\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"snap\"},textfont:LXt({autoShadowDflt:!0}),customdata:void 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nWe=ye((tbr,iWe)=>{\"use strict\";var C5=Dr(),h7=UJ(),OXt=Ca(),eWe=cd(),qXt=kc().defaults,tWe=cM(),rWe=pl(),BXt=Yd();iWe.exports=function(t,r,n,i){function a(A,L){return C5.coerce(t,r,h7,A,L)}var o=C5.extendDeep(i.hoverlabel,t.hoverlabel),s=t.node,l=rWe.newContainer(r,\"node\");function u(A,L){return C5.coerce(s,l,h7.node,A,L)}u(\"label\"),u(\"groups\"),u(\"x\"),u(\"y\"),u(\"pad\"),u(\"thickness\"),u(\"line.color\"),u(\"line.width\"),u(\"hoverinfo\",t.hoverinfo),tWe(s,l,u,o),u(\"hovertemplate\"),u(\"align\");var c=i.colorway,f=function(A){return c[A%c.length]};u(\"color\",l.label.map(function(A,L){return OXt.addOpacity(f(L),.8)})),u(\"customdata\");var h=t.link||{},d=rWe.newContainer(r,\"link\");function v(A,L){return C5.coerce(h,d,h7.link,A,L)}v(\"label\"),v(\"arrowlen\"),v(\"source\"),v(\"target\"),v(\"value\"),v(\"line.color\"),v(\"line.width\"),v(\"hoverinfo\",t.hoverinfo),tWe(h,d,v,o),v(\"hovertemplate\");var x=eWe(i.paper_bgcolor).getLuminance()<.333,b=x?\"rgba(255, 255, 255, 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A\"+st.circularPathData.rightLargeArcRadius+\" \"+st.circularPathData.rightLargeArcRadius+\" 0 0 0 \"+st.circularPathData.rightFullExtent+\" \"+st.circularPathData.verticalRightInnerExtent+\" L\"+st.circularPathData.rightFullExtent+\" \"+(st.circularPathData.targetY-st.circularPathData.rightSmallArcRadius)+\" A\"+st.circularPathData.rightLargeArcRadius+\" \"+st.circularPathData.rightSmallArcRadius+\" 0 0 0 \"+st.circularPathData.rightInnerExtent+\" \"+st.circularPathData.targetY+\" L\"+st.circularPathData.targetX+\" \"+st.circularPathData.targetY:lt=\"M\"+st.circularPathData.sourceX+\" \"+st.circularPathData.sourceY+\" L\"+st.circularPathData.leftInnerExtent+\" \"+st.circularPathData.sourceY+\" A\"+st.circularPathData.leftLargeArcRadius+\" \"+st.circularPathData.leftSmallArcRadius+\" 0 0 1 \"+st.circularPathData.leftFullExtent+\" \"+(st.circularPathData.sourceY+st.circularPathData.leftSmallArcRadius)+\" L\"+st.circularPathData.leftFullExtent+\" \"+st.circularPathData.verticalLeftInnerExtent+\" A\"+st.circularPathData.leftLargeArcRadius+\" \"+st.circularPathData.leftLargeArcRadius+\" 0 0 1 \"+st.circularPathData.leftInnerExtent+\" \"+st.circularPathData.verticalFullExtent+\" L\"+st.circularPathData.rightInnerExtent+\" \"+st.circularPathData.verticalFullExtent+\" A\"+st.circularPathData.rightLargeArcRadius+\" \"+st.circularPathData.rightLargeArcRadius+\" 0 0 1 \"+st.circularPathData.rightFullExtent+\" \"+st.circularPathData.verticalRightInnerExtent+\" L\"+st.circularPathData.rightFullExtent+\" \"+(st.circularPathData.targetY+st.circularPathData.rightSmallArcRadius)+\" A\"+st.circularPathData.rightLargeArcRadius+\" \"+st.circularPathData.rightSmallArcRadius+\" 0 0 1 \"+st.circularPathData.rightInnerExtent+\" \"+st.circularPathData.targetY+\" L\"+st.circularPathData.targetX+\" \"+st.circularPathData.targetY,lt}function oe(st,lt){return ie(st)==ie(lt)?st.circularLinkType==\"bottom\"?Me(st,lt):_e(st,lt):ie(lt)-ie(st)}function _e(st,lt){return st.y0-lt.y0}function Me(st,lt){return lt.y0-st.y0}function ke(st,lt){return st.y1-lt.y1}function me(st,lt){return lt.y1-st.y1}function ie(st){return st.target.column-st.source.column}function Se(st){return st.target.x0-st.source.x1}function Le(st,lt){var Gt=V(st),Nt=Se(lt)/Math.tan(Gt),$t=ct(st)==\"up\"?st.y1+Nt:st.y1-Nt;return $t}function Ae(st,lt){var Gt=V(st),Nt=Se(lt)/Math.tan(Gt),$t=ct(st)==\"up\"?st.y1-Nt:st.y1+Nt;return $t}function De(st,lt,Gt,Nt){st.links.forEach(function($t){if(!$t.circular&&$t.target.column-$t.source.column>1){var sr=$t.source.column+1,wr=$t.target.column-1,ur=1,Qe=wr-sr+1;for(ur=1;sr<=wr;sr++,ur++)st.nodes.forEach(function(Et){if(Et.column==sr){var er=ur/(Qe+1),Ut=Math.pow(1-er,3),Ft=3*er*Math.pow(1-er,2),bt=3*Math.pow(er,2)*(1-er),yt=Math.pow(er,3),Yt=Ut*$t.y0+Ft*$t.y0+bt*$t.y1+yt*$t.y1,lr=Yt-$t.width/2,Tr=Yt+$t.width/2,Rr;lr>Et.y0&&lr<Et.y1?(Rr=Et.y1-lr+10,Rr=Et.circularLinkType==\"bottom\"?Rr:-Rr,Et=ge(Et,Rr,lt,Gt),st.nodes.forEach(function(ei){k(ei,Nt)==k(Et,Nt)||ei.column!=Et.column||Pe(Et,ei)&&ge(ei,Rr,lt,Gt)})):Tr>Et.y0&&Tr<Et.y1?(Rr=Tr-Et.y0+10,Et=ge(Et,Rr,lt,Gt),st.nodes.forEach(function(ei){k(ei,Nt)==k(Et,Nt)||ei.column!=Et.column||ei.y0<Et.y1&&ei.y1>Et.y1&&ge(ei,Rr,lt,Gt)})):lr<Et.y0&&Tr>Et.y1&&(Rr=Tr-Et.y0+10,Et=ge(Et,Rr,lt,Gt),st.nodes.forEach(function(ei){k(ei,Nt)==k(Et,Nt)||ei.column!=Et.column||ei.y0<Et.y1&&ei.y1>Et.y1&&ge(ei,Rr,lt,Gt)}))}})}})}function Pe(st,lt){return st.y0>lt.y0&&st.y0<lt.y1||st.y1>lt.y0&&st.y1<lt.y1?!0:st.y0<lt.y0&&st.y1>lt.y1}function ge(st,lt,Gt,Nt){return st.y0+lt>=Gt&&st.y1+lt<=Nt&&(st.y0=st.y0+lt,st.y1=st.y1+lt,st.targetLinks.forEach(function($t){$t.y1=$t.y1+lt}),st.sourceLinks.forEach(function($t){$t.y0=$t.y0+lt})),st}function Fe(st,lt,Gt,Nt){st.nodes.forEach(function($t){Nt&&$t.y+($t.y1-$t.y0)>lt&&($t.y=$t.y-($t.y+($t.y1-$t.y0)-lt));var sr=st.links.filter(function(Qe){return k(Qe.source,Gt)==k($t,Gt)}),wr=sr.length;wr>1&&sr.sort(function(Qe,Et){if(!Qe.circular&&!Et.circular){if(Qe.target.column==Et.target.column)return Qe.y1-Et.y1;if(Ze(Qe,Et)){if(Qe.target.column>Et.target.column){var er=Ae(Et,Qe);return Qe.y1-er}if(Et.target.column>Qe.target.column){var Ut=Ae(Qe,Et);return Ut-Et.y1}}else return Qe.y1-Et.y1}if(Qe.circular&&!Et.circular)return Qe.circularLinkType==\"top\"?-1:1;if(Et.circular&&!Qe.circular)return Et.circularLinkType==\"top\"?1:-1;if(Qe.circular&&Et.circular)return Qe.circularLinkType===Et.circularLinkType&&Qe.circularLinkType==\"top\"?Qe.target.column===Et.target.column?Qe.target.y1-Et.target.y1:Et.target.column-Qe.target.column:Qe.circularLinkType===Et.circularLinkType&&Qe.circularLinkType==\"bottom\"?Qe.target.column===Et.target.column?Et.target.y1-Qe.target.y1:Qe.target.column-Et.target.column:Qe.circularLinkType==\"top\"?-1:1});var ur=$t.y0;sr.forEach(function(Qe){Qe.y0=ur+Qe.width/2,ur=ur+Qe.width}),sr.forEach(function(Qe,Et){if(Qe.circularLinkType==\"bottom\"){var er=Et+1,Ut=0;for(er;er<wr;er++)Ut=Ut+sr[er].width;Qe.y0=$t.y1-Ut-Qe.width/2}})})}function ce(st,lt,Gt){st.nodes.forEach(function(Nt){var $t=st.links.filter(function(ur){return k(ur.target,Gt)==k(Nt,Gt)}),sr=$t.length;sr>1&&$t.sort(function(ur,Qe){if(!ur.circular&&!Qe.circular){if(ur.source.column==Qe.source.column)return ur.y0-Qe.y0;if(Ze(ur,Qe)){if(Qe.source.column<ur.source.column){var Et=Le(Qe,ur);return ur.y0-Et}if(ur.source.column<Qe.source.column){var er=Le(ur,Qe);return er-Qe.y0}}else return ur.y0-Qe.y0}if(ur.circular&&!Qe.circular)return ur.circularLinkType==\"top\"?-1:1;if(Qe.circular&&!ur.circular)return Qe.circularLinkType==\"top\"?1:-1;if(ur.circular&&Qe.circular)return ur.circularLinkType===Qe.circularLinkType&&ur.circularLinkType==\"top\"?ur.source.column===Qe.source.column?ur.source.y1-Qe.source.y1:ur.source.column-Qe.source.column:ur.circularLinkType===Qe.circularLinkType&&ur.circularLinkType==\"bottom\"?ur.source.column===Qe.source.column?ur.source.y1-Qe.source.y1:Qe.source.column-ur.source.column:ur.circularLinkType==\"top\"?-1:1});var wr=Nt.y0;$t.forEach(function(ur){ur.y1=wr+ur.width/2,wr=wr+ur.width}),$t.forEach(function(ur,Qe){if(ur.circularLinkType==\"bottom\"){var Et=Qe+1,er=0;for(Et;Et<sr;Et++)er=er+$t[Et].width;ur.y1=Nt.y1-er-ur.width/2}})})}function Ze(st,lt){return ct(st)==ct(lt)}function ct(st){return st.y0-st.y1>0?\"up\":\"down\"}function pt(st,lt){return k(st.source,lt)==k(st.target,lt)}function Wt(st,lt,Gt){var Nt=st.nodes,$t=st.links,sr=!1,wr=!1;if($t.forEach(function(Ft){Ft.circularLinkType==\"top\"?sr=!0:Ft.circularLinkType==\"bottom\"&&(wr=!0)}),sr==!1||wr==!1){var ur=t.min(Nt,function(Ft){return Ft.y0}),Qe=t.max(Nt,function(Ft){return Ft.y1}),Et=Qe-ur,er=Gt-lt,Ut=er/Et;Nt.forEach(function(Ft){var bt=(Ft.y1-Ft.y0)*Ut;Ft.y0=(Ft.y0-ur)*Ut,Ft.y1=Ft.y0+bt}),$t.forEach(function(Ft){Ft.y0=(Ft.y0-ur)*Ut,Ft.y1=(Ft.y1-ur)*Ut,Ft.width=Ft.width*Ut})}}e.sankeyCircular=T,e.sankeyCenter=u,e.sankeyLeft=o,e.sankeyRight=s,e.sankeyJustify=l,Object.defineProperty(e,\"__esModule\",{value:!0})})});var HJ=ye((abr,CWe)=>{\"use strict\";CWe.exports={nodeTextOffsetHorizontal:4,nodeTextOffsetVertical:3,nodePadAcross:10,sankeyIterations:50,forceIterations:5,forceTicksPerFrame:10,duration:500,ease:\"linear\",cn:{sankey:\"sankey\",sankeyLinks:\"sankey-links\",sankeyLink:\"sankey-link\",sankeyNodeSet:\"sankey-node-set\",sankeyNode:\"sankey-node\",nodeRect:\"node-rect\",nodeLabel:\"node-label\"}}});var UWe=ye((obr,NWe)=>{\"use strict\";var kWe=yWe(),XXt=(R2(),B1(I2)).interpolateNumber,L5=Oa(),KC=TWe(),ZXt=EWe(),Nu=HJ(),P5=cd(),aw=Ca(),YXt=So(),p1=Dr(),XJ=p1.strTranslate,KXt=p1.strRotate,ZJ=Km(),JC=ZJ.keyFun,T7=ZJ.repeat,FWe=ZJ.unwrap,LWe=iu(),JXt=qa(),zWe=Kh(),$Xt=zWe.CAP_SHIFT,QXt=zWe.LINE_SPACING,eZt=3;function tZt(e,t,r){var n=FWe(t),i=n.trace,a=i.domain,o=i.orientation===\"h\",s=i.node.pad,l=i.node.thickness,u={justify:KC.sankeyJustify,left:KC.sankeyLeft,right:KC.sankeyRight,center:KC.sankeyCenter}[i.node.align],c=e.width*(a.x[1]-a.x[0]),f=e.height*(a.y[1]-a.y[0]),h=n._nodes,d=n._links,v=n.circular,x;v?x=ZXt.sankeyCircular().circularLinkGap(0):x=KC.sankey(),x.iterations(Nu.sankeyIterations).size(o?[c,f]:[f,c]).nodeWidth(l).nodePadding(s).nodeId(function(V){return V.pointNumber}).nodeAlign(u).nodes(h).links(d);var b=x();x.nodePadding()<s&&p1.warn(\"node.pad was reduced to \",x.nodePadding(),\" to fit within the figure.\");var p,C,E;for(var A in n._groupLookup){var L=parseInt(n._groupLookup[A]),_;for(p=0;p<b.nodes.length;p++)if(b.nodes[p].pointNumber===L){_=b.nodes[p];break}if(_){var k={pointNumber:parseInt(A),x0:_.x0,x1:_.x1,y0:_.y0,y1:_.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};b.nodes.unshift(k),_.childrenNodes.unshift(k)}}function M(){for(p=0;p<b.nodes.length;p++){var V=b.nodes[p],G={},Z,H;for(C=0;C<V.targetLinks.length;C++)H=V.targetLinks[C],Z=H.source.pointNumber+\":\"+H.target.pointNumber,G.hasOwnProperty(Z)||(G[Z]=[]),G[Z].push(H);var N=Object.keys(G);for(C=0;C<N.length;C++){Z=N[C];var j=G[Z],re=0,oe={};for(E=0;E<j.length;E++)H=j[E],oe[H.label]||(oe[H.label]=0),oe[H.label]+=H.value,re+=H.value;for(E=0;E<j.length;E++)H=j[E],H.flow={value:re,labelConcentration:oe[H.label]/re,concentration:H.value/re,links:j},H.concentrationscale&&(H.color=P5(H.concentrationscale(H.flow.labelConcentration)))}var _e=0;for(C=0;C<V.sourceLinks.length;C++)_e+=V.sourceLinks[C].value;for(C=0;C<V.sourceLinks.length;C++)H=V.sourceLinks[C],H.concentrationOut=H.value/_e;var Me=0;for(C=0;C<V.targetLinks.length;C++)Me+=V.targetLinks[C].value;for(C=0;C<V.targetLinks.length;C++)H=V.targetLinks[C],H.concenrationIn=H.value/Me}}M();function g(V){V.forEach(function(G){var Z,H,N=0,j=G.length,re;for(G.sort(function(oe,_e){return oe.y0-_e.y0}),re=0;re<j;++re)Z=G[re],Z.y0>=N||(H=N-Z.y0,H>1e-6&&(Z.y0+=H,Z.y1+=H)),N=Z.y1+s})}function P(V){var G=V.map(function(_e,Me){return{x0:_e.x0,index:Me}}).sort(function(_e,Me){return _e.x0-Me.x0}),Z=[],H=-1,N,j=-1/0,re;for(p=0;p<G.length;p++){var oe=V[G[p].index];oe.x0>j+l&&(H+=1,N=oe.x0),j=oe.x0,Z[H]||(Z[H]=[]),Z[H].push(oe),re=N-oe.x0,oe.x0+=re,oe.x1+=re}return Z}if(i.node.x.length&&i.node.y.length){for(p=0;p<Math.min(i.node.x.length,i.node.y.length,b.nodes.length);p++)if(i.node.x[p]&&i.node.y[p]){var T=[i.node.x[p]*c,i.node.y[p]*f];b.nodes[p].x0=T[0]-l/2,b.nodes[p].x1=T[0]+l/2;var z=b.nodes[p].y1-b.nodes[p].y0;b.nodes[p].y0=T[1]-z/2,b.nodes[p].y1=T[1]+z/2}if(i.arrangement===\"snap\"){h=b.nodes;var O=P(h);g(O)}x.update(b)}return{circular:v,key:r,trace:i,guid:p1.randstr(),horizontal:o,width:c,height:f,nodePad:i.node.pad,nodeLineColor:i.node.line.color,nodeLineWidth:i.node.line.width,linkLineColor:i.link.line.color,linkLineWidth:i.link.line.width,linkArrowLength:i.link.arrowlen,valueFormat:i.valueformat,valueSuffix:i.valuesuffix,textFont:i.textfont,translateX:a.x[0]*e.width+e.margin.l,translateY:e.height-a.y[1]*e.height+e.margin.t,dragParallel:o?f:c,dragPerpendicular:o?c:f,arrangement:i.arrangement,sankey:x,graph:b,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function rZt(e,t,r){var n=P5(t.color),i=P5(t.hovercolor),a=t.source.label+\"|\"+t.target.label,o=a+\"__\"+r;return t.trace=e.trace,t.curveNumber=e.trace.index,{circular:e.circular,key:o,traceId:e.key,pointNumber:t.pointNumber,link:t,tinyColorHue:aw.tinyRGB(n),tinyColorAlpha:n.getAlpha(),tinyColorHoverHue:aw.tinyRGB(i),tinyColorHoverAlpha:i.getAlpha(),linkPath:YJ,linkLineColor:e.linkLineColor,linkLineWidth:e.linkLineWidth,linkArrowLength:e.linkArrowLength,valueFormat:e.valueFormat,valueSuffix:e.valueSuffix,sankey:e.sankey,parent:e,interactionState:e.interactionState,flow:t.flow}}function iZt(e,t){var r=\"\",n=e.width/2,i=e.circularPathData,a=i.sourceX+i.verticalBuffer<i.targetX,o=i.rightFullExtent-i.rightLargeArcRadius-t<=i.leftFullExtent-n,s=Math.abs(i.rightFullExtent-i.leftFullExtent-n)<n;return e.circularLinkType===\"top\"?(r=\"M \"+(i.targetX-t)+\" \"+(i.targetY+n)+\" L \"+(i.rightInnerExtent-t)+\" \"+(i.targetY+n)+\"A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightSmallArcRadius+n)+\" 0 0 1 \"+(i.rightFullExtent-n-t)+\" \"+(i.targetY-i.rightSmallArcRadius)+\"L \"+(i.rightFullExtent-n-t)+\" \"+i.verticalRightInnerExtent,a&&o?r+=\" A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightLargeArcRadius+n)+\" 0 0 1 \"+(i.rightFullExtent+n-t-(i.rightLargeArcRadius-n))+\" \"+(i.verticalRightInnerExtent-(i.rightLargeArcRadius+n))+\" L \"+(i.rightFullExtent+n-(i.rightLargeArcRadius-n)-t)+\" \"+(i.verticalRightInnerExtent-(i.rightLargeArcRadius+n))+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftLargeArcRadius+n)+\" 0 0 1 \"+(i.leftFullExtent+n)+\" \"+i.verticalRightInnerExtent:a?r+=\" A \"+(i.rightLargeArcRadius-n)+\" \"+(i.rightLargeArcRadius-n)+\" 0 0 0 \"+(i.rightFullExtent-n-t-(i.rightLargeArcRadius-n))+\" \"+(i.verticalRightInnerExtent-(i.rightLargeArcRadius-n))+\" L \"+(i.leftFullExtent+n+(i.rightLargeArcRadius-n))+\" \"+(i.verticalRightInnerExtent-(i.rightLargeArcRadius-n))+\" A \"+(i.leftLargeArcRadius-n)+\" \"+(i.leftLargeArcRadius-n)+\" 0 0 0 \"+(i.leftFullExtent+n)+\" \"+i.verticalLeftInnerExtent:r+=\" A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightLargeArcRadius+n)+\" 0 0 1 \"+(i.rightInnerExtent-t)+\" \"+(i.verticalFullExtent-n)+\" L \"+i.leftInnerExtent+\" \"+(i.verticalFullExtent-n)+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftLargeArcRadius+n)+\" 0 0 1 \"+(i.leftFullExtent+n)+\" \"+i.verticalLeftInnerExtent,r+=\" L \"+(i.leftFullExtent+n)+\" \"+(i.sourceY-i.leftSmallArcRadius)+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftSmallArcRadius+n)+\" 0 0 1 \"+i.leftInnerExtent+\" \"+(i.sourceY+n)+\" L \"+i.sourceX+\" \"+(i.sourceY+n)+\" L \"+i.sourceX+\" \"+(i.sourceY-n)+\" L \"+i.leftInnerExtent+\" \"+(i.sourceY-n)+\" A \"+(i.leftLargeArcRadius-n)+\" \"+(i.leftSmallArcRadius-n)+\" 0 0 0 \"+(i.leftFullExtent-n)+\" \"+(i.sourceY-i.leftSmallArcRadius)+\" L \"+(i.leftFullExtent-n)+\" \"+i.verticalLeftInnerExtent,a&&o?r+=\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftSmallArcRadius+n)+\" 0 0 0 \"+(i.leftFullExtent-n)+\" \"+(i.verticalFullExtent+n)+\"L\"+(i.rightFullExtent+n-t)+\" \"+(i.verticalFullExtent+n)+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftSmallArcRadius+n)+\" 0 0 0 \"+(i.rightFullExtent+n-t)+\" \"+i.verticalRightInnerExtent:a?r+=\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftSmallArcRadius+n)+\" 0 0 1 \"+(i.leftFullExtent+n)+\" \"+(i.verticalFullExtent-n)+\" L \"+(i.rightFullExtent-n-t)+\" \"+(i.verticalFullExtent-n)+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftSmallArcRadius+n)+\" 0 0 1 \"+(i.rightFullExtent+n-t)+\" \"+i.verticalRightInnerExtent:r+=\" A \"+(i.leftLargeArcRadius-n)+\" \"+(i.leftLargeArcRadius-n)+\" 0 0 0 \"+i.leftInnerExtent+\" \"+(i.verticalFullExtent+n)+\" L \"+(i.rightInnerExtent-t)+\" \"+(i.verticalFullExtent+n)+\" A \"+(i.rightLargeArcRadius-n)+\" \"+(i.rightLargeArcRadius-n)+\" 0 0 0 \"+(i.rightFullExtent+n-t)+\" \"+i.verticalRightInnerExtent,r+=\" L \"+(i.rightFullExtent+n-t)+\" \"+(i.targetY-i.rightSmallArcRadius)+\" A \"+(i.rightLargeArcRadius-n)+\" \"+(i.rightSmallArcRadius-n)+\" 0 0 0 \"+(i.rightInnerExtent-t)+\" \"+(i.targetY-n)+\" L \"+(i.targetX-t)+\" \"+(i.targetY-n)+(t>0?\" L 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\"+(i.rightSmallArcRadius-n)+\" 0 0 1 \"+(i.leftFullExtent+n)+\" \"+i.verticalLeftInnerExtent:r+=\" A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightLargeArcRadius+n)+\" 0 0 0 \"+(i.rightInnerExtent-t)+\" \"+(i.verticalFullExtent+n)+\" L \"+i.leftInnerExtent+\" \"+(i.verticalFullExtent+n)+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftLargeArcRadius+n)+\" 0 0 0 \"+(i.leftFullExtent+n)+\" \"+i.verticalLeftInnerExtent,r+=\" L \"+(i.leftFullExtent+n)+\" \"+(i.sourceY+i.leftSmallArcRadius)+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftSmallArcRadius+n)+\" 0 0 0 \"+i.leftInnerExtent+\" \"+(i.sourceY-n)+\" L \"+i.sourceX+\" \"+(i.sourceY-n)+\" L \"+i.sourceX+\" \"+(i.sourceY+n)+\" L \"+i.leftInnerExtent+\" \"+(i.sourceY+n)+\" A \"+(i.leftLargeArcRadius-n)+\" \"+(i.leftSmallArcRadius-n)+\" 0 0 1 \"+(i.leftFullExtent-n)+\" \"+(i.sourceY+i.leftSmallArcRadius)+\" L \"+(i.leftFullExtent-n)+\" \"+i.verticalLeftInnerExtent,a&&o?r+=\" A \"+(i.rightLargeArcRadius-n)+\" \"+(i.rightSmallArcRadius-n)+\" 0 0 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JWe=ye(ow=>{\"use strict\";var pZt=mc().overrideAll,gZt=Id().getModuleCalcData,mZt=$J(),yZt=N1(),_Zt=Tg(),xZt=gv(),bZt=zf().prepSelect,QJ=Dr(),wZt=qa(),S7=\"sankey\";ow.name=S7;ow.baseLayoutAttrOverrides=pZt({hoverlabel:yZt.hoverlabel},\"plot\",\"nested\");ow.plot=function(e){var t=gZt(e.calcdata,S7)[0];mZt(e,t),ow.updateFx(e)};ow.clean=function(e,t,r,n){var i=n._has&&n._has(S7),a=t._has&&t._has(S7);i&&!a&&(n._paperdiv.selectAll(\".sankey\").remove(),n._paperdiv.selectAll(\".bgsankey\").remove())};ow.updateFx=function(e){for(var t=0;t<e._fullData.length;t++)TZt(e,t)};function TZt(e,t){var r=e._fullData[t],n=e._fullLayout,i=n.dragmode,a=n.dragmode===\"pan\"?\"move\":\"crosshair\",o=r._bgRect;if(o&&!(i===\"pan\"||i===\"zoom\")){_Zt(o,a);var s={_id:\"x\",c2p:QJ.identity,_offset:r._sankey.translateX,_length:r._sankey.width},l={_id:\"y\",c2p:QJ.identity,_offset:r._sankey.translateY,_length:r._sankey.height},u={gd:e,element:o.node(),plotinfo:{id:t,xaxis:s,yaxis:l,fillRangeItems:QJ.noop},subplot:t,xaxes:[s],yaxes:[l],doneFnCompleted:function(c){var f=e._fullData[t],h,d=f.node.groups.slice(),v=[];function x(E){for(var A=f._sankey.graph.nodes,L=0;L<A.length;L++)if(A[L].pointNumber===E)return A[L]}for(var b=0;b<c.length;b++){var p=x(c[b].pointNumber);if(p)if(p.group){for(var C=0;C<p.childrenNodes.length;C++)v.push(p.childrenNodes[C].pointNumber);d[p.pointNumber-f.node._count]=!1}else v.push(p.pointNumber)}h=d.filter(Boolean).concat([v]),wZt.call(\"_guiRestyle\",e,{\"node.groups\":[h]},t)}};u.prepFn=function(c,f,h){bZt(c,f,h,u,i)},xZt.init(u)}}});var QWe=ye((ubr,$We)=>{\"use strict\";$We.exports=function(t,r){for(var n=t.cd,i=[],a=n[0].trace,o=a._sankey.graph.nodes,s=0;s<o.length;s++){var l=o[s];if(!l.partOfGroup){var u=[(l.x0+l.x1)/2,(l.y0+l.y1)/2];a.orientation===\"v\"&&u.reverse(),r&&r.contains(u,!1,s,t)&&i.push({pointNumber:l.pointNumber})}}return i}});var tXe=ye((cbr,eXe)=>{\"use strict\";eXe.exports={attributes:UJ(),supplyDefaults:nWe(),calc:uWe(),plot:$J(),moduleType:\"trace\",name:\"sankey\",basePlotModule:JWe(),selectPoints:QWe(),categories:[\"noOpacity\"],meta:{}}});var iXe=ye((fbr,rXe)=>{\"use strict\";rXe.exports=tXe()});var aXe=ye(D5=>{\"use strict\";var nXe=Mc();D5.name=\"indicator\";D5.plot=function(e,t,r,n){nXe.plotBasePlot(D5.name,e,t,r,n)};D5.clean=function(e,t,r,n){nXe.cleanBasePlot(D5.name,e,t,r,n)}});var t$=ye((dbr,fXe)=>{\"use strict\";var Mx=Ao().extendFlat,sXe=Ao().extendDeep,AZt=mc().overrideAll,lXe=ec(),uXe=Eh(),SZt=kc().attributes,Bf=Rd(),MZt=pl().templatedArray,M7=GT(),oXe=df().descriptionOnlyNumbers,e$=lXe({editType:\"plot\",colorEditType:\"plot\"}),QC={color:{valType:\"color\",editType:\"plot\"},line:{color:{valType:\"color\",dflt:uXe.defaultLine,editType:\"plot\"},width:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"calc\"},thickness:{valType:\"number\",min:0,max:1,dflt:1,editType:\"plot\"},editType:\"calc\"},cXe={valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},EZt=MZt(\"step\",sXe({},QC,{range:cXe}));fXe.exports={mode:{valType:\"flaglist\",editType:\"calc\",flags:[\"number\",\"delta\",\"gauge\"],dflt:\"number\"},value:{valType:\"number\",editType:\"calc\",anim:!0},align:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],editType:\"plot\"},domain:SZt({name:\"indicator\",trace:!0,editType:\"calc\"}),title:{text:{valType:\"string\",editType:\"plot\"},align:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],editType:\"plot\"},font:Mx({},e$,{}),editType:\"plot\"},number:{valueformat:{valType:\"string\",dflt:\"\",editType:\"plot\",description:oXe(\"value\")},font:Mx({},e$,{}),prefix:{valType:\"string\",dflt:\"\",editType:\"plot\"},suffix:{valType:\"string\",dflt:\"\",editType:\"plot\"},editType:\"plot\"},delta:{reference:{valType:\"number\",editType:\"calc\"},position:{valType:\"enumerated\",values:[\"top\",\"bottom\",\"left\",\"right\"],dflt:\"bottom\",editType:\"plot\"},relative:{valType:\"boolean\",editType:\"plot\",dflt:!1},valueformat:{valType:\"string\",editType:\"plot\",description:oXe(\"value\")},increasing:{symbol:{valType:\"string\",dflt:M7.INCREASING.SYMBOL,editType:\"plot\"},color:{valType:\"color\",dflt:M7.INCREASING.COLOR,editType:\"plot\"},editType:\"plot\"},decreasing:{symbol:{valType:\"string\",dflt:M7.DECREASING.SYMBOL,editType:\"plot\"},color:{valType:\"color\",dflt:M7.DECREASING.COLOR,editType:\"plot\"},editType:\"plot\"},font:Mx({},e$,{}),prefix:{valType:\"string\",dflt:\"\",editType:\"plot\"},suffix:{valType:\"string\",dflt:\"\",editType:\"plot\"},editType:\"calc\"},gauge:{shape:{valType:\"enumerated\",editType:\"plot\",dflt:\"angular\",values:[\"angular\",\"bullet\"]},bar:sXe({},QC,{color:{dflt:\"green\"}}),bgcolor:{valType:\"color\",editType:\"plot\"},bordercolor:{valType:\"color\",dflt:uXe.defaultLine,editType:\"plot\"},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"plot\"},axis:AZt({range:cXe,visible:Mx({},Bf.visible,{dflt:!0}),tickmode:Bf.minor.tickmode,nticks:Bf.nticks,tick0:Bf.tick0,dtick:Bf.dtick,tickvals:Bf.tickvals,ticktext:Bf.ticktext,ticks:Mx({},Bf.ticks,{dflt:\"outside\"}),ticklen:Bf.ticklen,tickwidth:Bf.tickwidth,tickcolor:Bf.tickcolor,ticklabelstep:Bf.ticklabelstep,showticklabels:Bf.showticklabels,labelalias:Bf.labelalias,tickfont:lXe({}),tickangle:Bf.tickangle,tickformat:Bf.tickformat,tickformatstops:Bf.tickformatstops,tickprefix:Bf.tickprefix,showtickprefix:Bf.showtickprefix,ticksuffix:Bf.ticksuffix,showticksuffix:Bf.showticksuffix,separatethousands:Bf.separatethousands,exponentformat:Bf.exponentformat,minexponent:Bf.minexponent,showexponent:Bf.showexponent,editType:\"plot\"},\"plot\"),steps:EZt,threshold:{line:{color:Mx({},QC.line.color,{}),width:Mx({},QC.line.width,{dflt:1}),editType:\"plot\"},thickness:Mx({},QC.thickness,{dflt:.85}),value:{valType:\"number\",editType:\"calc\",dflt:!1},editType:\"plot\"},editType:\"plot\"}}});var r$=ye((vbr,hXe)=>{\"use strict\";hXe.exports={defaultNumberFontSize:80,bulletNumberDomainSize:.25,bulletPadding:.025,innerRadius:.75,valueThickness:.5,titlePadding:5,horizontalPadding:10}});var pXe=ye((pbr,vXe)=>{\"use strict\";var ey=Dr(),C7=t$(),CZt=kc().defaults,dXe=pl(),kZt=Yd(),E7=r$(),LZt=xb(),PZt=T3(),IZt=t_(),RZt=r_();function DZt(e,t,r,n){function i(_,k){return ey.coerce(e,t,C7,_,k)}CZt(t,n,i),i(\"mode\"),t._hasNumber=t.mode.indexOf(\"number\")!==-1,t._hasDelta=t.mode.indexOf(\"delta\")!==-1,t._hasGauge=t.mode.indexOf(\"gauge\")!==-1;var a=i(\"value\");t._range=[0,typeof a==\"number\"?1.5*a:1];var o=new Array(2),s;if(t._hasNumber){i(\"number.valueformat\");var l=ey.extendFlat({},n.font);l.size=void 0,ey.coerceFont(i,\"number.font\",l),t.number.font.size===void 0&&(t.number.font.size=E7.defaultNumberFontSize,o[0]=!0),i(\"number.prefix\"),i(\"number.suffix\"),s=t.number.font.size}var u;if(t._hasDelta){var c=ey.extendFlat({},n.font);c.size=void 0,ey.coerceFont(i,\"delta.font\",c),t.delta.font.size===void 0&&(t.delta.font.size=(t._hasNumber?.5:1)*(s||E7.defaultNumberFontSize),o[1]=!0),i(\"delta.reference\",t.value),i(\"delta.relative\"),i(\"delta.valueformat\",t.delta.relative?\"2%\":\"\"),i(\"delta.increasing.symbol\"),i(\"delta.increasing.color\"),i(\"delta.decreasing.symbol\"),i(\"delta.decreasing.color\"),i(\"delta.position\"),i(\"delta.prefix\"),i(\"delta.suffix\"),u=t.delta.font.size}t._scaleNumbers=(!t._hasNumber||o[0])&&(!t._hasDelta||o[1])||!1;var f=ey.extendFlat({},n.font);f.size=.25*(s||u||E7.defaultNumberFontSize),ey.coerceFont(i,\"title.font\",f),i(\"title.text\");var h,d,v,x;function b(_,k){return ey.coerce(h,d,C7.gauge,_,k)}function p(_,k){return ey.coerce(v,x,C7.gauge.axis,_,k)}if(t._hasGauge){h=e.gauge,h||(h={}),d=dXe.newContainer(t,\"gauge\"),b(\"shape\");var C=t._isBullet=t.gauge.shape===\"bullet\";C||i(\"title.align\",\"center\");var E=t._isAngular=t.gauge.shape===\"angular\";E||i(\"align\",\"center\"),b(\"bgcolor\",n.paper_bgcolor),b(\"borderwidth\"),b(\"bordercolor\"),b(\"bar.color\"),b(\"bar.line.color\"),b(\"bar.line.width\");var A=E7.valueThickness*(t.gauge.shape===\"bullet\"?.5:1);b(\"bar.thickness\",A),kZt(h,d,{name:\"steps\",handleItemDefaults:FZt}),b(\"threshold.value\"),b(\"threshold.thickness\"),b(\"threshold.line.width\"),b(\"threshold.line.color\"),v={},h&&(v=h.axis||{}),x=dXe.newContainer(d,\"axis\"),p(\"visible\"),t._range=p(\"range\",t._range);var L={font:n.font,noAutotickangles:!0,outerTicks:!0,noTicklabelshift:!0,noTicklabelstandoff:!0};LZt(v,x,p,\"linear\"),RZt(v,x,p,\"linear\",L),IZt(v,x,p,\"linear\",L),PZt(v,x,p,L)}else i(\"title.align\",\"center\"),i(\"align\",\"center\"),t._isAngular=t._isBullet=!1;t._length=null}function FZt(e,t){function r(n,i){return ey.coerce(e,t,C7.gauge.steps,n,i)}r(\"color\"),r(\"line.color\"),r(\"line.width\"),r(\"range\"),r(\"thickness\")}vXe.exports={supplyDefaults:DZt}});var mXe=ye((gbr,gXe)=>{\"use strict\";function zZt(e,t){var r=[],n=t.value;typeof t._lastValue!=\"number\"&&(t._lastValue=t.value);var i=t._lastValue,a=i;return t._hasDelta&&typeof t.delta.reference==\"number\"&&(a=t.delta.reference),r[0]={y:n,lastY:i,delta:n-a,relativeDelta:(n-a)/a},r}gXe.exports={calc:zZt}});var TXe=ye((mbr,wXe)=>{\"use strict\";var fw=Oa(),OZt=(R2(),B1(I2)).interpolate,yXe=(R2(),B1(I2)).interpolateNumber,Ex=Dr(),qZt=Ex.strScale,tk=Ex.strTranslate,BZt=Ex.rad2deg,NZt=Kh().MID_SHIFT,cw=So(),sw=r$(),L7=iu(),sv=ho(),UZt=t4(),VZt=oI(),GZt=Rd(),F5=Ca(),i$={left:\"start\",center:\"middle\",right:\"end\"},lw={left:0,center:.5,right:1},_Xe=/[yzafpnµmkMGTPEZY]/;function rk(e){return e&&e.duration>0}wXe.exports=function(t,r,n,i){var a=t._fullLayout,o;rk(n)&&i&&(o=i()),Ex.makeTraceGroups(a._indicatorlayer,r,\"trace\").each(function(s){var l=s[0],u=l.trace,c=fw.select(this),f=u._hasGauge,h=u._isAngular,d=u._isBullet,v=u.domain,x={w:a._size.w*(v.x[1]-v.x[0]),h:a._size.h*(v.y[1]-v.y[0]),l:a._size.l+a._size.w*v.x[0],r:a._size.r+a._size.w*(1-v.x[1]),t:a._size.t+a._size.h*(1-v.y[1]),b:a._size.b+a._size.h*v.y[0]},b=x.l+x.w/2,p=x.t+x.h/2,C=Math.min(x.w/2,x.h),E=sw.innerRadius*C,A,L,_,k=u.align||\"center\";if(L=p,!f)A=x.l+lw[k]*x.w,_=function(H){return xXe(H,x.w,x.h)};else if(h&&(A=b,L=p+C/2,_=function(H){return ZZt(H,.9*E)}),d){var M=sw.bulletPadding,g=1-sw.bulletNumberDomainSize+M;A=x.l+(g+(1-g)*lw[k])*x.w,_=function(H){return xXe(H,(sw.bulletNumberDomainSize-M)*x.w,x.h)}}WZt(t,c,s,{numbersX:A,numbersY:L,numbersScaler:_,transitionOpts:n,onComplete:o});var P,T;f&&(P={range:u.gauge.axis.range,color:u.gauge.bgcolor,line:{color:u.gauge.bordercolor,width:0},thickness:1},T={range:u.gauge.axis.range,color:\"rgba(0, 0, 0, 0)\",line:{color:u.gauge.bordercolor,width:u.gauge.borderwidth},thickness:1});var z=c.selectAll(\"g.angular\").data(h?s:[]);z.exit().remove();var O=c.selectAll(\"g.angularaxis\").data(h?s:[]);O.exit().remove(),h&&jZt(t,c,s,{radius:C,innerRadius:E,gauge:z,layer:O,size:x,gaugeBg:P,gaugeOutline:T,transitionOpts:n,onComplete:o});var V=c.selectAll(\"g.bullet\").data(d?s:[]);V.exit().remove();var G=c.selectAll(\"g.bulletaxis\").data(d?s:[]);G.exit().remove(),d&&HZt(t,c,s,{gauge:V,layer:G,size:x,gaugeBg:P,gaugeOutline:T,transitionOpts:n,onComplete:o});var Z=c.selectAll(\"text.title\").data(s);Z.exit().remove(),Z.enter().append(\"text\").classed(\"title\",!0),Z.attr(\"text-anchor\",function(){return d?i$.right:i$[u.title.align]}).text(u.title.text).call(cw.font,u.title.font).call(L7.convertToTspans,t),Z.attr(\"transform\",function(){var H=x.l+x.w*lw[u.title.align],N,j=sw.titlePadding,re=cw.bBox(Z.node());if(f){if(h)if(u.gauge.axis.visible){var oe=cw.bBox(O.node());N=oe.top-j-re.bottom}else N=x.t+x.h/2-C/2-re.bottom-j;d&&(N=L-(re.top+re.bottom)/2,H=x.l-sw.bulletPadding*x.w)}else N=u._numbersTop-j-re.bottom;return tk(H,N)})})};function HZt(e,t,r,n){var i=r[0].trace,a=n.gauge,o=n.layer,s=n.gaugeBg,l=n.gaugeOutline,u=n.size,c=i.domain,f=n.transitionOpts,h=n.onComplete,d,v,x,b,p;a.enter().append(\"g\").classed(\"bullet\",!0),a.attr(\"transform\",tk(u.l,u.t)),o.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),o.selectAll(\"g.xbulletaxistick,path,text\").remove();var C=u.h,E=i.gauge.bar.thickness*C,A=c.x[0],L=c.x[0]+(c.x[1]-c.x[0])*(i._hasNumber||i._hasDelta?1-sw.bulletNumberDomainSize:1);d=ek(e,i.gauge.axis),d._id=\"xbulletaxis\",d.domain=[A,L],d.setScale(),v=sv.calcTicks(d),x=sv.makeTransTickFn(d),b=sv.getTickSigns(d)[2],p=u.t+u.h,d.visible&&(sv.drawTicks(e,d,{vals:d.ticks===\"inside\"?sv.clipEnds(d,v):v,layer:o,path:sv.makeTickPath(d,p,b),transFn:x}),sv.drawLabels(e,d,{vals:v,layer:o,transFn:x,labelFns:sv.makeLabelFns(d,p)}));function _(O){O.attr(\"width\",function(V){return Math.max(0,d.c2p(V.range[1])-d.c2p(V.range[0]))}).attr(\"x\",function(V){return d.c2p(V.range[0])}).attr(\"y\",function(V){return .5*(1-V.thickness)*C}).attr(\"height\",function(V){return V.thickness*C})}var k=[s].concat(i.gauge.steps),M=a.selectAll(\"g.bg-bullet\").data(k);M.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),M.select(\"rect\").call(_).call(uw),M.exit().remove();var g=a.selectAll(\"g.value-bullet\").data([i.gauge.bar]);g.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),g.select(\"rect\").attr(\"height\",E).attr(\"y\",(C-E)/2).call(uw),rk(f)?g.select(\"rect\").transition().duration(f.duration).ease(f.easing).each(\"end\",function(){h&&h()}).each(\"interrupt\",function(){h&&h()}).attr(\"width\",Math.max(0,d.c2p(Math.min(i.gauge.axis.range[1],r[0].y)))):g.select(\"rect\").attr(\"width\",typeof r[0].y==\"number\"?Math.max(0,d.c2p(Math.min(i.gauge.axis.range[1],r[0].y))):0),g.exit().remove();var 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f=H5(e,G5([t,0])),h=f[0],d=f[1];return[\"M\"+o+\",\"+s,\"A\"+i+\",\"+i+\" 0 0,\"+(0<r?0:1)+\" \"+h+\",\"+d,\"A\"+i+\",\"+i+\" 0 0,\"+(n<0?0:1)+u+\",\"+c].join(\" \")}return[\"M\"+o+\",\"+s,\"A\"+i+\",\"+i+\" 0 0,\"+(n<r?0:1)+\" \"+u+\",\"+c].join(\" \")}gJe.exports={smith:G5,reactanceArc:HJt,resistanceArc:jJt,smithTransform:H5}});var W$=ye((B2r,SJe)=>{\"use strict\";var vw=Oa(),WJt=cd(),gw=qa(),Xc=Dr(),ry=Xc.strRotate,xd=Xc.strTranslate,H$=Ca(),uk=So(),XJt=Mc(),hp=ho(),ZJt=ym(),YJt=N$(),KJt=wg().doAutoRange,y1=ON(),c9=gv(),mJe=vf(),JJt=Mb(),$Jt=zf().prepSelect,QJt=zf().selectOnClick,j$=zf().clearOutline,yJe=Tg(),_Je=hM(),xJe=xM().redrawReglTraces,e$t=Kh().MID_SHIFT,Lx=a9(),_1=s9(),f9=G$(),l9=f9.smith,t$t=f9.reactanceArc,r$t=f9.resistanceArc,u9=f9.smithTransform,i$t=Xc._,bJe=Xc.mod,Px=Xc.deg2rad,pw=Xc.rad2deg;function wJe(e,t,r){this.isSmith=r||!1,this.id=t,this.gd=e,this._hasClipOnAxisFalse=null,this.vangles=null,this.radialAxisAngle=null,this.traceHash={},this.layers={},this.clipPaths={},this.clipIds={},this.viewInitial={};var n=e._fullLayout,i=\"clip\"+n._uid+t;this.clipIds.forTraces=i+\"-for-traces\",this.clipPaths.forTraces=n._clips.append(\"clipPath\").attr(\"id\",this.clipIds.forTraces),this.clipPaths.forTraces.append(\"path\"),this.framework=n[\"_\"+(r?\"smith\":\"polar\")+\"layer\"].append(\"g\").attr(\"class\",t),this.getHole=function(a){return this.isSmith?0:a.hole},this.getSector=function(a){return this.isSmith?[0,360]:a.sector},this.getRadial=function(a){return this.isSmith?a.realaxis:a.radialaxis},this.getAngular=function(a){return this.isSmith?a.imaginaryaxis:a.angularaxis},r||(this.radialTickLayout=null,this.angularTickLayout=null)}var Nd=wJe.prototype;SJe.exports=function(t,r,n){return new wJe(t,r,n)};Nd.plot=function(e,t){for(var r=this,n=t[r.id],i=!1,a=0;a<e.length;a++){var o=e[a][0].trace;if(o.cliponaxis===!1){i=!0;break}}r._hasClipOnAxisFalse=i,r.updateLayers(t,n),r.updateLayout(t,n),XJt.generalUpdatePerTraceModule(r.gd,r,e,n),r.updateFx(t,n),r.isSmith&&(delete n.realaxis.range,delete n.imaginaryaxis.range)};Nd.updateLayers=function(e,t){var r=this,n=r.isSmith,i=r.layers,a=r.getRadial(t),o=r.getAngular(t),s=Lx.layerNames,l=s.indexOf(\"frontplot\"),u=s.slice(0,l),c=o.layer===\"below traces\",f=a.layer===\"below traces\";c&&u.push(\"angular-line\"),f&&u.push(\"radial-line\"),c&&u.push(\"angular-axis\"),f&&u.push(\"radial-axis\"),u.push(\"frontplot\"),c||u.push(\"angular-line\"),f||u.push(\"radial-line\"),c||u.push(\"angular-axis\"),f||u.push(\"radial-axis\");var h=(n?\"smith\":\"polar\")+\"sublayer\",d=r.framework.selectAll(\".\"+h).data(u,String);d.enter().append(\"g\").attr(\"class\",function(v){return h+\" \"+v}).each(function(v){var x=i[v]=vw.select(this);switch(v){case\"frontplot\":n||x.append(\"g\").classed(\"barlayer\",!0),x.append(\"g\").classed(\"scatterlayer\",!0);break;case\"backplot\":x.append(\"g\").classed(\"maplayer\",!0);break;case\"plotbg\":i.bg=x.append(\"path\");break;case\"radial-grid\":x.style(\"fill\",\"none\");break;case\"angular-grid\":x.style(\"fill\",\"none\");break;case\"radial-line\":x.append(\"line\").style(\"fill\",\"none\");break;case\"angular-line\":x.append(\"path\").style(\"fill\",\"none\");break}}),d.order()};Nd.updateLayout=function(e,t){var r=this,n=r.layers,i=e._size,a=r.getRadial(t),o=r.getAngular(t),s=t.domain.x,l=t.domain.y;r.xOffset=i.l+i.w*s[0],r.yOffset=i.t+i.h*(1-l[1]);var u=r.xLength=i.w*(s[1]-s[0]),c=r.yLength=i.h*(l[1]-l[0]),f=r.getSector(t);r.sectorInRad=f.map(Px);var h=r.sectorBBox=n$t(f),d=h[2]-h[0],v=h[3]-h[1],x=c/u,b=Math.abs(v/d),p,C,E,A,L;x>b?(p=u,C=u*b,L=(c-C)/i.h/2,E=[s[0],s[1]],A=[l[0]+L,l[1]-L]):(p=c/b,C=c,L=(u-p)/i.w/2,E=[s[0]+L,s[1]-L],A=[l[0],l[1]]),r.xLength2=p,r.yLength2=C,r.xDomain2=E,r.yDomain2=A;var _=r.xOffset2=i.l+i.w*E[0],k=r.yOffset2=i.t+i.h*(1-A[1]),M=r.radius=p/d,g=r.innerRadius=r.getHole(t)*M,P=r.cx=_-M*h[0],T=r.cy=k+M*h[3],z=r.cxx=P-_,O=r.cyy=T-k,V=a.side,G;V===\"counterclockwise\"?(G=V,V=\"top\"):V===\"clockwise\"&&(G=V,V=\"bottom\"),r.radialAxis=r.mockAxis(e,t,a,{_id:\"x\",side:V,_trueSide:G,domain:[g/i.w,M/i.w]}),r.angularAxis=r.mockAxis(e,t,o,{side:\"right\",domain:[0,Math.PI],autorange:!1}),r.doAutoRange(e,t),r.updateAngularAxis(e,t),r.updateRadialAxis(e,t),r.updateRadialAxisTitle(e,t),r.xaxis=r.mockCartesianAxis(e,t,{_id:\"x\",domain:E}),r.yaxis=r.mockCartesianAxis(e,t,{_id:\"y\",domain:A});var Z=r.pathSubplot();r.clipPaths.forTraces.select(\"path\").attr(\"d\",Z).attr(\"transform\",xd(z,O)),n.frontplot.attr(\"transform\",xd(_,k)).call(uk.setClipUrl,r._hasClipOnAxisFalse?null:r.clipIds.forTraces,r.gd),n.bg.attr(\"d\",Z).attr(\"transform\",xd(P,T)).call(H$.fill,t.bgcolor)};Nd.mockAxis=function(e,t,r,n){var i=Xc.extendFlat({},r,n);return YJt(i,t,e),i};Nd.mockCartesianAxis=function(e,t,r){var n=this,i=n.isSmith,a=r._id,o=Xc.extendFlat({type:\"linear\"},r);ZJt(o,e);var s={x:[0,2],y:[1,3]};return o.setRange=function(){var l=n.sectorBBox,u=s[a],c=n.radialAxis._rl,f=(c[1]-c[0])/(1-n.getHole(t));o.range=[l[u[0]]*f,l[u[1]]*f]},o.isPtWithinRange=a===\"x\"&&!i?function(l){return n.isPtInside(l)}:function(){return!0},o.setRange(),o.setScale(),o};Nd.doAutoRange=function(e,t){var r=this,n=r.gd,i=r.radialAxis,a=r.getRadial(t);KJt(n,i);var o=i.range;if(a.range=o.slice(),a._input.range=o.slice(),i._rl=[i.r2l(o[0],null,\"gregorian\"),i.r2l(o[1],null,\"gregorian\")],i.minallowed!==void 0){var s=i.r2l(i.minallowed);i._rl[0]>i._rl[1]?i._rl[1]=Math.max(i._rl[1],s):i._rl[0]=Math.max(i._rl[0],s)}if(i.maxallowed!==void 0){var l=i.r2l(i.maxallowed);i._rl[0]<i._rl[1]?i._rl[1]=Math.min(i._rl[1],l):i._rl[0]=Math.min(i._rl[0],l)}};Nd.updateRadialAxis=function(e,t){var r=this,n=r.gd,i=r.layers,a=r.radius,o=r.innerRadius,s=r.cx,l=r.cy,u=r.getRadial(t),c=bJe(r.getSector(t)[0],360),f=r.radialAxis,h=o<a,d=r.isSmith;d||(r.fillViewInitialKey(\"radialaxis.angle\",u.angle),r.fillViewInitialKey(\"radialaxis.range\",f.range.slice()),f.setGeometry()),f.tickangle===\"auto\"&&c>90&&c<=270&&(f.tickangle=180);var v=d?function(M){var g=u9(r,l9([M.x,0]));return xd(g[0]-s,g[1]-l)}:function(M){return xd(f.l2p(M.x)+o,0)},x=d?function(M){return r$t(r,M.x,-1/0,1/0)}:function(M){return r.pathArc(f.r2p(M.x)+o)},b=TJe(u);if(r.radialTickLayout!==b&&(i[\"radial-axis\"].selectAll(\".xtick\").remove(),r.radialTickLayout=b),h){f.setScale();var p=0,C=d?(f.tickvals||[]).filter(function(M){return M>=0}).map(function(M){return hp.tickText(f,M,!0,!1)}):hp.calcTicks(f),E=d?C:hp.clipEnds(f,C),A=hp.getTickSigns(f)[2];d&&((f.ticks===\"top\"&&f.side===\"bottom\"||f.ticks===\"bottom\"&&f.side===\"top\")&&(A=-A),f.ticks===\"top\"&&f.side===\"top\"&&(p=-f.ticklen),f.ticks===\"bottom\"&&f.side===\"bottom\"&&(p=f.ticklen)),hp.drawTicks(n,f,{vals:C,layer:i[\"radial-axis\"],path:hp.makeTickPath(f,0,A),transFn:v,crisp:!1}),hp.drawGrid(n,f,{vals:E,layer:i[\"radial-grid\"],path:x,transFn:Xc.noop,crisp:!1}),hp.drawLabels(n,f,{vals:C,layer:i[\"radial-axis\"],transFn:v,labelFns:hp.makeLabelFns(f,p)})}var L=r.radialAxisAngle=r.vangles?pw(AJe(Px(u.angle),r.vangles)):u.angle,_=xd(s,l),k=_+ry(-L);ck(i[\"radial-axis\"],h&&(u.showticklabels||u.ticks),{transform:k}),ck(i[\"radial-grid\"],h&&u.showgrid,{transform:d?\"\":_}),ck(i[\"radial-line\"].select(\"line\"),h&&u.showline,{x1:d?-a:o,y1:0,x2:a,y2:0,transform:k}).attr(\"stroke-width\",u.linewidth).call(H$.stroke,u.linecolor)};Nd.updateRadialAxisTitle=function(e,t,r){if(!this.isSmith){var n=this,i=n.gd,a=n.radius,o=n.cx,s=n.cy,l=n.getRadial(t),u=n.id+\"title\",c=0;if(l.title){var f=uk.bBox(n.layers[\"radial-axis\"].node()).height,h=l.title.font.size,d=l.side;c=d===\"top\"?h:d===\"counterclockwise\"?-(f+h*.4):f+h*.8}var v=r!==void 0?r:n.radialAxisAngle,x=Px(v),b=Math.cos(x),p=Math.sin(x),C=o+a/2*b+c*p,E=s-a/2*p+c*b;n.layers[\"radial-axis-title\"]=JJt.draw(i,u,{propContainer:l,propName:n.id+\".radialaxis.title\",placeholder:i$t(i,\"Click to enter radial axis title\"),attributes:{x:C,y:E,\"text-anchor\":\"middle\"},transform:{rotate:-v}})}};Nd.updateAngularAxis=function(e,t){var r=this,n=r.gd,i=r.layers,a=r.radius,o=r.innerRadius,s=r.cx,l=r.cy,u=r.getAngular(t),c=r.angularAxis,f=r.isSmith;f||(r.fillViewInitialKey(\"angularaxis.rotation\",u.rotation),c.setGeometry(),c.setScale());var h=f?function(g){var P=u9(r,l9([0,g.x]));return Math.atan2(P[0]-s,P[1]-l)-Math.PI/2}:function(g){return c.t2g(g.x)};c.type===\"linear\"&&c.thetaunit===\"radians\"&&(c.tick0=pw(c.tick0),c.dtick=pw(c.dtick));var d=function(g){return xd(s+a*Math.cos(g),l-a*Math.sin(g))},v=f?function(g){var P=u9(r,l9([0,g.x]));return xd(P[0],P[1])}:function(g){return d(h(g))},x=f?function(g){var P=u9(r,l9([0,g.x])),T=Math.atan2(P[0]-s,P[1]-l)-Math.PI/2;return xd(P[0],P[1])+ry(-pw(T))}:function(g){var P=h(g);return d(P)+ry(-pw(P))},b=f?function(g){return t$t(r,g.x,0,1/0)}:function(g){var P=h(g),T=Math.cos(P),z=Math.sin(P);return\"M\"+[s+o*T,l-o*z]+\"L\"+[s+a*T,l-a*z]},p=hp.makeLabelFns(c,0),C=p.labelStandoff,E={};E.xFn=function(g){var P=h(g);return Math.cos(P)*C},E.yFn=function(g){var P=h(g),T=Math.sin(P)>0?.2:1;return-Math.sin(P)*(C+g.fontSize*T)+Math.abs(Math.cos(P))*(g.fontSize*e$t)},E.anchorFn=function(g){var P=h(g),T=Math.cos(P);return Math.abs(T)<.1?\"middle\":T>0?\"start\":\"end\"},E.heightFn=function(g,P,T){var z=h(g);return-.5*(1+Math.sin(z))*T};var A=TJe(u);r.angularTickLayout!==A&&(i[\"angular-axis\"].selectAll(\".\"+c._id+\"tick\").remove(),r.angularTickLayout=A);var L=f?[1/0].concat(c.tickvals||[]).map(function(g){return hp.tickText(c,g,!0,!1)}):hp.calcTicks(c);f&&(L[0].text=\"\\u221E\",L[0].fontSize*=1.75);var _;if(t.gridshape===\"linear\"?(_=L.map(h),Xc.angleDelta(_[0],_[1])<0&&(_=_.slice().reverse())):_=null,r.vangles=_,c.type===\"category\"&&(L=L.filter(function(g){return Xc.isAngleInsideSector(h(g),r.sectorInRad)})),c.visible){var k=c.ticks===\"inside\"?-1:1,M=(c.linewidth||1)/2;hp.drawTicks(n,c,{vals:L,layer:i[\"angular-axis\"],path:\"M\"+k*M+\",0h\"+k*c.ticklen,transFn:x,crisp:!1}),hp.drawGrid(n,c,{vals:L,layer:i[\"angular-grid\"],path:b,transFn:Xc.noop,crisp:!1}),hp.drawLabels(n,c,{vals:L,layer:i[\"angular-axis\"],repositionOnUpdate:!0,transFn:v,labelFns:E})}ck(i[\"angular-line\"].select(\"path\"),u.showline,{d:r.pathSubplot(),transform:xd(s,l)}).attr(\"stroke-width\",u.linewidth).call(H$.stroke,u.linecolor)};Nd.updateFx=function(e,t){if(!this.gd._context.staticPlot){var r=!this.isSmith;r&&(this.updateAngularDrag(e),this.updateRadialDrag(e,t,0),this.updateRadialDrag(e,t,1)),this.updateHoverAndMainDrag(e)}};Nd.updateHoverAndMainDrag=function(e){var t=this,r=t.isSmith,n=t.gd,i=t.layers,a=e._zoomlayer,o=Lx.MINZOOM,s=Lx.OFFEDGE,l=t.radius,u=t.innerRadius,c=t.cx,f=t.cy,h=t.cxx,d=t.cyy,v=t.sectorInRad,x=t.vangles,b=t.radialAxis,p=_1.clampTiny,C=_1.findXYatLength,E=_1.findEnclosingVertexAngles,A=Lx.cornerHalfWidth,L=Lx.cornerLen/2,_,k,M=y1.makeDragger(i,\"path\",\"maindrag\",e.dragmode===!1?\"none\":\"crosshair\");vw.select(M).attr(\"d\",t.pathSubplot()).attr(\"transform\",xd(c,f)),M.onmousemove=function(ce){mJe.hover(n,ce,t.id),n._fullLayout._lasthover=M,n._fullLayout._hoversubplot=t.id},M.onmouseout=function(ce){n._dragging||c9.unhover(n,ce)};var g={element:M,gd:n,subplot:t.id,plotinfo:{id:t.id,xaxis:t.xaxis,yaxis:t.yaxis},xaxes:[t.xaxis],yaxes:[t.yaxis]},P,T,z,O,V,G,Z,H,N;function j(ce,Ze){return Math.sqrt(ce*ce+Ze*Ze)}function re(ce,Ze){return j(ce-h,Ze-d)}function oe(ce,Ze){return Math.atan2(d-Ze,ce-h)}function _e(ce,Ze){return[ce*Math.cos(Ze),ce*Math.sin(-Ze)]}function Me(ce,Ze){if(ce===0)return t.pathSector(2*A);var 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t=this._year!==e._year?this._year-e._year:this._month!==e._month?this.monthOfYear()-e.monthOfYear():this._day-e._day;return t===0?0:t<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(e){return this._calendar.fromJD(e)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(e){return this._calendar.fromJSDate(e)},toString:function(){return(this.year()<0?\"-\":\"\")+S9(Math.abs(this.year()),4)+\"-\"+S9(this.month(),2)+\"-\"+S9(this.day(),2)}});function sQ(){this.shortYearCutoff=\"+10\"}M9(sQ.prototype,{_validateLevel:0,newDate:function(e,t,r){return e==null?this.today():(e.year&&(this._validate(e,t,r,Hs.local.invalidDate||Hs.regionalOptions[\"\"].invalidDate),r=e.day(),t=e.month(),e=e.year()),new oQ(this,e,t,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(e){var t=this._validate(e,this.minMonth,this.minDay,Hs.local.invalidYear||Hs.regionalOptions[\"\"].invalidYear);return t.year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,Hs.local.invalidYear||Hs.regionalOptions[\"\"].invalidYear);return(t.year()<0?\"-\":\"\")+S9(Math.abs(t.year()),4)},monthsInYear:function(e){return this._validate(e,this.minMonth,this.minDay,Hs.local.invalidYear||Hs.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(e,t){var r=this._validate(e,t,this.minDay,Hs.local.invalidMonth||Hs.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(e,t){var r=(t+this.firstMonth-2*this.minMonth)%this.monthsInYear(e)+this.minMonth;return this._validate(e,r,this.minDay,Hs.local.invalidMonth||Hs.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,Hs.local.invalidYear||Hs.regionalOptions[\"\"].invalidYear);return this.leapYear(t)?366:365},dayOfYear:function(e,t,r){var n=this._validate(e,t,r,Hs.local.invalidDate||Hs.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(e,t,r){var n=this._validate(e,t,r,Hs.local.invalidDate||Hs.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(e,t,r){return this._validate(e,t,r,Hs.local.invalidDate||Hs.regionalOptions[\"\"].invalidDate),{}},add:function(e,t,r){return this._validate(e,this.minMonth,this.minDay,Hs.local.invalidDate||Hs.regionalOptions[\"\"].invalidDate),this._correctAdd(e,this._add(e,t,r),t,r)},_add:function(e,t,r){if(this._validateLevel++,r===\"d\"||r===\"w\"){var n=e.toJD()+t*(r===\"w\"?this.daysInWeek():1),i=e.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=e.year()+(r===\"y\"?t:0),o=e.monthOfYear()+(r===\"m\"?t:0),i=e.day(),s=function(c){for(;o<c.minMonth;)a--,o+=c.monthsInYear(a);for(var f=c.monthsInYear(a);o>f-1+c.minMonth;)a++,o-=f,f=c.monthsInYear(a)};r===\"y\"?(e.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,e.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):r===\"m\"&&(s(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var l=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,l}catch(u){throw this._validateLevel--,u}},_correctAdd:function(e,t,r,n){if(!this.hasYearZero&&(n===\"y\"||n===\"m\")&&(t[0]===0||e.year()>0!=t[0]>0)){var i={y:[1,1,\"y\"],m:[1,this.monthsInYear(-1),\"m\"],w:[this.daysInWeek(),this.daysInYear(-1),\"d\"],d:[1,this.daysInYear(-1),\"d\"]}[n],a=r<0?-1:1;t=this._add(e,r*i[0]+a*i[1],i[2])}return e.date(t[0],t[1],t[2])},set:function(e,t,r){this._validate(e,this.minMonth,this.minDay,Hs.local.invalidDate||Hs.regionalOptions[\"\"].invalidDate);var n=r===\"y\"?t:e.year(),i=r===\"m\"?t:e.month(),a=r===\"d\"?t:e.day();return(r===\"y\"||r===\"m\")&&(a=Math.min(a,this.daysInMonth(n,i))),e.date(n,i,a)},isValid:function(e,t,r){this._validateLevel++;var n=this.hasYearZero||e!==0;if(n){var i=this.newDate(e,t,this.minDay);n=t>=this.minMonth&&t-this.minMonth<this.monthsInYear(i)&&r>=this.minDay&&r-this.minDay<this.daysInMonth(i)}return this._validateLevel--,n},toJSDate:function(e,t,r){var n=this._validate(e,t,r,Hs.local.invalidDate||Hs.regionalOptions[\"\"].invalidDate);return Hs.instance().fromJD(this.toJD(n)).toJSDate()},fromJSDate:function(e){return this.fromJD(Hs.instance().fromJSDate(e).toJD())},_validate:function(e,t,r,n){if(e.year){if(this._validateLevel===0&&this.name!==e.calendar().name)throw(Hs.local.differentCalendars||Hs.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this.local.name).replace(/\\{1\\}/,e.calendar().local.name);return e}try{if(this._validateLevel++,this._validateLevel===1&&!this.isValid(e,t,r))throw n.replace(/\\{0\\}/,this.local.name);var i=this.newDate(e,t,r);return this._validateLevel--,i}catch(a){throw this._validateLevel--,a}}});function lQ(e){this.local=this.regionalOptions[e]||this.regionalOptions[\"\"]}lQ.prototype=new sQ;M9(lQ.prototype,{name:\"Gregorian\",jdEpoch:17214255e-1,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Gregorian\",epochs:[\"BCE\",\"CE\"],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(r){var t=this._validate(r,this.minMonth,this.minDay,Hs.local.invalidYear||Hs.regionalOptions[\"\"].invalidYear),r=t.year()+(t.year()<0?1:0);return r%4===0&&(r%100!==0||r%400===0)},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,Hs.local.invalidMonth||Hs.regionalOptions[\"\"].invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===2&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(e,t,r){var n=this._validate(e,t,r,Hs.local.invalidDate||Hs.regionalOptions[\"\"].invalidDate);e=n.year(),t=n.month(),r=n.day(),e<0&&e++,t<3&&(t+=12,e--);var i=Math.floor(e/100),a=2-i+Math.floor(i/4);return Math.floor(365.25*(e+4716))+Math.floor(30.6001*(t+1))+r+a-1524.5},fromJD:function(e){var t=Math.floor(e+.5),r=Math.floor((t-186721625e-2)/36524.25);r=t+1+r-Math.floor(r/4);var n=r+1524,i=Math.floor((n-122.1)/365.25),a=Math.floor(365.25*i),o=Math.floor((n-a)/30.6001),s=n-a-Math.floor(o*30.6001),l=o-(o>13.5?13:1),u=i-(l>2.5?4716:4715);return u<=0&&u--,this.newDate(u,l,s)},toJSDate:function(e,t,r){var n=this._validate(e,t,r,Hs.local.invalidDate||Hs.regionalOptions[\"\"].invalidDate),i=new Date(n.year(),n.month()-1,n.day());return i.setHours(0),i.setMinutes(0),i.setSeconds(0),i.setMilliseconds(0),i.setHours(i.getHours()>12?i.getHours()+2:0),i},fromJSDate:function(e){return this.newDate(e.getFullYear(),e.getMonth()+1,e.getDate())}});var Hs=TQe.exports=new wQe;Hs.cdate=oQ;Hs.baseCalendar=sQ;Hs.calendars.gregorian=lQ});var AQe=ye(()=>{var uQ=Fh(),Ud=Sv();uQ(Ud.regionalOptions[\"\"],{invalidArguments:\"Invalid arguments\",invalidFormat:\"Cannot format a date from another calendar\",missingNumberAt:\"Missing number at position {0}\",unknownNameAt:\"Unknown name at position {0}\",unexpectedLiteralAt:\"Unexpected literal at position {0}\",unexpectedText:\"Additional text found at end\"});Ud.local=Ud.regionalOptions[\"\"];uQ(Ud.cdate.prototype,{formatDate:function(e,t){return typeof e!=\"string\"&&(t=e,e=\"\"),this._calendar.formatDate(e||\"\",this,t)}});uQ(Ud.baseCalendar.prototype,{UNIX_EPOCH:Ud.instance().newDate(1970,1,1).toJD(),SECS_PER_DAY:24*60*60,TICKS_EPOCH:Ud.instance().jdEpoch,TICKS_PER_DAY:24*60*60*1e7,ATOM:\"yyyy-mm-dd\",COOKIE:\"D, dd M yyyy\",FULL:\"DD, MM d, yyyy\",ISO_8601:\"yyyy-mm-dd\",JULIAN:\"J\",RFC_822:\"D, d M yy\",RFC_850:\"DD, dd-M-yy\",RFC_1036:\"D, d M yy\",RFC_1123:\"D, d M yyyy\",RFC_2822:\"D, d M yyyy\",RSS:\"D, d M yy\",TICKS:\"!\",TIMESTAMP:\"@\",W3C:\"yyyy-mm-dd\",formatDate:function(e,t,r){if(typeof e!=\"string\"&&(r=t,t=e,e=\"\"),!t)return\"\";if(t.calendar()!==this)throw Ud.local.invalidFormat||Ud.regionalOptions[\"\"].invalidFormat;e=e||this.local.dateFormat,r=r||{};for(var n=r.dayNamesShort||this.local.dayNamesShort,i=r.dayNames||this.local.dayNames,a=r.monthNumbers||this.local.monthNumbers,o=r.monthNamesShort||this.local.monthNamesShort,s=r.monthNames||this.local.monthNames,l=r.calculateWeek||this.local.calculateWeek,u=function(A,L){for(var _=1;E+_<e.length&&e.charAt(E+_)===A;)_++;return E+=_-1,Math.floor(_/(L||1))>1},c=function(A,L,_,k){var M=\"\"+L;if(u(A,k))for(;M.length<_;)M=\"0\"+M;return M},f=function(A,L,_,k){return u(A)?k[L]:_[L]},h=this,d=function(A){return typeof a==\"function\"?a.call(h,A,u(\"m\")):b(c(\"m\",A.month(),2))},v=function(A,L){return L?typeof s==\"function\"?s.call(h,A):s[A.month()-h.minMonth]:typeof o==\"function\"?o.call(h,A):o[A.month()-h.minMonth]},x=this.local.digits,b=function(A){return r.localNumbers&&x?x(A):A},p=\"\",C=!1,E=0;E<e.length;E++)if(C)e.charAt(E)===\"'\"&&!u(\"'\")?C=!1:p+=e.charAt(E);else switch(e.charAt(E)){case\"d\":p+=b(c(\"d\",t.day(),2));break;case\"D\":p+=f(\"D\",t.dayOfWeek(),n,i);break;case\"o\":p+=c(\"o\",t.dayOfYear(),3);break;case\"w\":p+=c(\"w\",t.weekOfYear(),2);break;case\"m\":p+=d(t);break;case\"M\":p+=v(t,u(\"M\"));break;case\"y\":p+=u(\"y\",2)?t.year():(t.year()%100<10?\"0\":\"\")+t.year()%100;break;case\"Y\":u(\"Y\",2),p+=t.formatYear();break;case\"J\":p+=t.toJD();break;case\"@\":p+=(t.toJD()-this.UNIX_EPOCH)*this.SECS_PER_DAY;break;case\"!\":p+=(t.toJD()-this.TICKS_EPOCH)*this.TICKS_PER_DAY;break;case\"'\":u(\"'\")?p+=\"'\":C=!0;break;default:p+=e.charAt(E)}return p},parseDate:function(e,t,r){if(t==null)throw Ud.local.invalidArguments||Ud.regionalOptions[\"\"].invalidArguments;if(t=typeof t==\"object\"?t.toString():t+\"\",t===\"\")return null;e=e||this.local.dateFormat,r=r||{};var n=r.shortYearCutoff||this.shortYearCutoff;n=typeof n!=\"string\"?n:this.today().year()%100+parseInt(n,10);for(var i=r.dayNamesShort||this.local.dayNamesShort,a=r.dayNames||this.local.dayNames,o=r.parseMonth||this.local.parseMonth,s=r.monthNumbers||this.local.monthNumbers,l=r.monthNamesShort||this.local.monthNamesShort,u=r.monthNames||this.local.monthNames,c=-1,f=-1,h=-1,d=-1,v=-1,x=!1,b=!1,p=function(z,O){for(var V=1;g+V<e.length&&e.charAt(g+V)===z;)V++;return g+=V-1,Math.floor(V/(O||1))>1},C=function(z,O){var V=p(z,O),G=[2,3,V?4:2,V?4:2,10,11,20][\"oyYJ@!\".indexOf(z)+1],Z=new RegExp(\"^-?\\\\d{1,\"+G+\"}\"),H=t.substring(M).match(Z);if(!H)throw(Ud.local.missingNumberAt||Ud.regionalOptions[\"\"].missingNumberAt).replace(/\\{0\\}/,M);return M+=H[0].length,parseInt(H[0],10)},E=this,A=function(){if(typeof s==\"function\"){p(\"m\");var z=s.call(E,t.substring(M));return M+=z.length,z}return C(\"m\")},L=function(z,O,V,G){for(var Z=p(z,G)?V:O,H=0;H<Z.length;H++)if(t.substr(M,Z[H].length).toLowerCase()===Z[H].toLowerCase())return M+=Z[H].length,H+E.minMonth;throw(Ud.local.unknownNameAt||Ud.regionalOptions[\"\"].unknownNameAt).replace(/\\{0\\}/,M)},_=function(){if(typeof u==\"function\"){var z=p(\"M\")?u.call(E,t.substring(M)):l.call(E,t.substring(M));return M+=z.length,z}return L(\"M\",l,u)},k=function(){if(t.charAt(M)!==e.charAt(g))throw(Ud.local.unexpectedLiteralAt||Ud.regionalOptions[\"\"].unexpectedLiteralAt).replace(/\\{0\\}/,M);M++},M=0,g=0;g<e.length;g++)if(b)e.charAt(g)===\"'\"&&!p(\"'\")?b=!1:k();else switch(e.charAt(g)){case\"d\":d=C(\"d\");break;case\"D\":L(\"D\",i,a);break;case\"o\":v=C(\"o\");break;case\"w\":C(\"w\");break;case\"m\":h=A();break;case\"M\":h=_();break;case\"y\":var P=g;x=!p(\"y\",2),g=P,f=C(\"y\",2);break;case\"Y\":f=C(\"Y\",2);break;case\"J\":c=C(\"J\")+.5,t.charAt(M)===\".\"&&(M++,C(\"J\"));break;case\"@\":c=C(\"@\")/this.SECS_PER_DAY+this.UNIX_EPOCH;break;case\"!\":c=C(\"!\")/this.TICKS_PER_DAY+this.TICKS_EPOCH;break;case\"*\":M=t.length;break;case\"'\":p(\"'\")?k():b=!0;break;default:k()}if(M<t.length)throw Ud.local.unexpectedText||Ud.regionalOptions[\"\"].unexpectedText;if(f===-1?f=this.today().year():f<100&&x&&(f+=n===-1?1900:this.today().year()-this.today().year()%100-(f<=n?0:100)),typeof h==\"string\"&&(h=o.call(this,f,h)),v>-1){h=1,d=v;for(var T=this.daysInMonth(f,h);d>T;T=this.daysInMonth(f,h))h++,d-=T}return c>-1?this.fromJD(c):this.newDate(f,h,d)},determineDate:function(e,t,r,n,i){r&&typeof r!=\"object\"&&(i=n,n=r,r=null),typeof n!=\"string\"&&(i=n,n=\"\");var a=this,o=function(s){try{return a.parseDate(n,s,i)}catch(f){}s=s.toLowerCase();for(var l=(s.match(/^c/)&&r?r.newDate():null)||a.today(),u=/([+-]?[0-9]+)\\s*(d|w|m|y)?/g,c=u.exec(s);c;)l.add(parseInt(c[1],10),c[2]||\"d\"),c=u.exec(s);return l};return t=t?t.newDate():null,e=e==null?t:typeof e==\"string\"?o(e):typeof e==\"number\"?isNaN(e)||e===1/0||e===-1/0?t:a.today().add(e,\"d\"):a.newDate(e),e}})});var SQe=ye(()=>{var Fx=Sv(),Mer=Fh(),cQ=Fx.instance();function E9(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}E9.prototype=new Fx.baseCalendar;Mer(E9.prototype,{name:\"Chinese\",jdEpoch:17214255e-1,hasYearZero:!1,minMonth:0,firstMonth:0,minDay:1,regionalOptions:{\"\":{name:\"Chinese\",epochs:[\"BEC\",\"EC\"],monthNumbers:function(e,t){if(typeof e==\"string\"){var r=e.match(Cer);return r?r[0]:\"\"}var n=this._validateYear(e),i=e.month(),a=\"\"+this.toChineseMonth(n,i);return t&&a.length<2&&(a=\"0\"+a),this.isIntercalaryMonth(n,i)&&(a+=\"i\"),a},monthNames:function(e){if(typeof e==\"string\"){var t=e.match(ker);return t?t[0]:\"\"}var r=this._validateYear(e),n=e.month(),i=this.toChineseMonth(r,n),a=[\"\\u4E00\\u6708\",\"\\u4E8C\\u6708\",\"\\u4E09\\u6708\",\"\\u56DB\\u6708\",\"\\u4E94\\u6708\",\"\\u516D\\u6708\",\"\\u4E03\\u6708\",\"\\u516B\\u6708\",\"\\u4E5D\\u6708\",\"\\u5341\\u6708\",\"\\u5341\\u4E00\\u6708\",\"\\u5341\\u4E8C\\u6708\"][i-1];return this.isIntercalaryMonth(r,n)&&(a=\"\\u95F0\"+a),a},monthNamesShort:function(e){if(typeof e==\"string\"){var t=e.match(Ler);return t?t[0]:\"\"}var r=this._validateYear(e),n=e.month(),i=this.toChineseMonth(r,n),a=[\"\\u4E00\",\"\\u4E8C\",\"\\u4E09\",\"\\u56DB\",\"\\u4E94\",\"\\u516D\",\"\\u4E03\",\"\\u516B\",\"\\u4E5D\",\"\\u5341\",\"\\u5341\\u4E00\",\"\\u5341\\u4E8C\"][i-1];return this.isIntercalaryMonth(r,n)&&(a=\"\\u95F0\"+a),a},parseMonth:function(e,t){e=this._validateYear(e);var r=parseInt(t),n;if(isNaN(r))t[0]===\"\\u95F0\"&&(n=!0,t=t.substring(1)),t[t.length-1]===\"\\u6708\"&&(t=t.substring(0,t.length-1)),r=1+[\"\\u4E00\",\"\\u4E8C\",\"\\u4E09\",\"\\u56DB\",\"\\u4E94\",\"\\u516D\",\"\\u4E03\",\"\\u516B\",\"\\u4E5D\",\"\\u5341\",\"\\u5341\\u4E00\",\"\\u5341\\u4E8C\"].indexOf(t);else{var i=t[t.length-1];n=i===\"i\"||i===\"I\"}var a=this.toMonthIndex(e,r,n);return a},dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},_validateYear:function(e,t){if(e.year&&(e=e.year()),typeof e!=\"number\"||e<1888||e>2111)throw t.replace(/\\{0\\}/,this.local.name);return e},toMonthIndex:function(e,t,r){var n=this.intercalaryMonth(e),i=r&&t!==n;if(i||t<1||t>12)throw Fx.local.invalidMonth.replace(/\\{0\\}/,this.local.name);var a;return n?!r&&t<=n?a=t-1:a=t:a=t-1,a},toChineseMonth:function(e,t){e.year&&(e=e.year(),t=e.month());var r=this.intercalaryMonth(e),n=r?12:11;if(t<0||t>n)throw Fx.local.invalidMonth.replace(/\\{0\\}/,this.local.name);var i;return r?t<r?i=t+1:i=t:i=t+1,i},intercalaryMonth:function(e){e=this._validateYear(e);var t=zx[e-zx[0]],r=t>>13;return r},isIntercalaryMonth:function(e,t){e.year&&(e=e.year(),t=e.month());var r=this.intercalaryMonth(e);return!!r&&r===t},leapYear:function(e){return this.intercalaryMonth(e)!==0},weekOfYear:function(e,t,r){var n=this._validateYear(e,Fx.local.invalidyear),i=Ox[n-Ox[0]],a=i>>9&4095,o=i>>5&15,s=i&31,l;l=cQ.newDate(a,o,s),l.add(4-(l.dayOfWeek()||7),\"d\");var u=this.toJD(e,t,r)-l.toJD();return 1+Math.floor(u/7)},monthsInYear:function(e){return this.leapYear(e)?13:12},daysInMonth:function(e,t){e.year&&(t=e.month(),e=e.year()),e=this._validateYear(e);var r=zx[e-zx[0]],n=r>>13,i=n?12:11;if(t>i)throw Fx.local.invalidMonth.replace(/\\{0\\}/,this.local.name);var a=r&1<<12-t?30:29;return a},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(e,t,r){var n=this._validate(e,a,r,Fx.local.invalidDate);e=this._validateYear(n.year()),t=n.month(),r=n.day();var i=this.isIntercalaryMonth(e,t),a=this.toChineseMonth(e,t),o=Ier(e,a,r,i);return cQ.toJD(o.year,o.month,o.day)},fromJD:function(e){var t=cQ.fromJD(e),r=Per(t.year(),t.month(),t.day()),n=this.toMonthIndex(r.year,r.month,r.isIntercalary);return this.newDate(r.year,n,r.day)},fromString:function(e){var t=e.match(Eer),r=this._validateYear(+t[1]),n=+t[2],i=!!t[3],a=this.toMonthIndex(r,n,i),o=+t[4];return this.newDate(r,a,o)},add:function(e,t,r){var n=e.year(),i=e.month(),a=this.isIntercalaryMonth(n,i),o=this.toChineseMonth(n,i),s=Object.getPrototypeOf(E9.prototype).add.call(this,e,t,r);if(r===\"y\"){var l=s.year(),u=s.month(),c=this.isIntercalaryMonth(l,o),f=a&&c?this.toMonthIndex(l,o,!0):this.toMonthIndex(l,o,!1);f!==u&&s.month(f)}return s}});var Eer=/^\\s*(-?\\d\\d\\d\\d|\\d\\d)[-/](\\d?\\d)([iI]?)[-/](\\d?\\d)/m,Cer=/^\\d?\\d[iI]?/m,ker=/^闰?十?[一二三四五六七八九]?月/m,Ler=/^闰?十?[一二三四五六七八九]?/m;Fx.calendars.chinese=E9;var 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Per(e,t,r,n){var i,a;if(typeof e==\"object\")i=e,a=t||{};else{var o=typeof e==\"number\"&&e>=1888&&e<=2111;if(!o)throw new Error(\"Solar year outside range 1888-2111\");var s=typeof t==\"number\"&&t>=1&&t<=12;if(!s)throw new Error(\"Solar month outside range 1 - 12\");var l=typeof r==\"number\"&&r>=1&&r<=31;if(!l)throw new Error(\"Solar day outside range 1 - 31\");i={year:e,month:t,day:r},a=n||{}}var u=Ox[i.year-Ox[0]],c=i.year<<9|i.month<<5|i.day;a.year=c>=u?i.year:i.year-1,u=Ox[a.year-Ox[0]];var f=u>>9&4095,h=u>>5&15,d=u&31,v,x=new Date(f,h-1,d),b=new Date(i.year,i.month-1,i.day);v=Math.round((b-x)/(24*3600*1e3));var p=zx[a.year-zx[0]],C;for(C=0;C<13;C++){var E=p&1<<12-C?30:29;if(v<E)break;v-=E}var A=p>>13;return!A||C<A?(a.isIntercalary=!1,a.month=1+C):C===A?(a.isIntercalary=!0,a.month=C):(a.isIntercalary=!1,a.month=C),a.day=1+v,a}function Ier(e,t,r,n,i){var a,o;if(typeof e==\"object\")o=e,a=t||{};else{var s=typeof e==\"number\"&&e>=1888&&e<=2111;if(!s)throw new Error(\"Lunar year 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this._validate(e,this.minMonth,this.minDay,_w.local.invalidYear||_w.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,_w.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===13&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(e,t,r){var n=this._validate(e,t,r,_w.local.invalidDate);return e=n.year(),e<0&&e++,n.day()+(n.month()-1)*30+(e-1)*365+Math.floor(e/4)+this.jdEpoch-1},fromJD:function(e){var t=Math.floor(e)+.5-this.jdEpoch,r=Math.floor((t-Math.floor((t+366)/1461))/365)+1;r<=0&&r--,t=Math.floor(e)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(t/30)+1,i=t-(n-1)*30+1;return this.newDate(r,n,i)}});_w.calendars.coptic=fQ});var EQe=ye(()=>{var b1=Sv(),Der=Fh();function hQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}hQ.prototype=new b1.baseCalendar;Der(hQ.prototype,{name:\"Discworld\",jdEpoch:17214255e-1,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(e){return this._validate(e,this.minMonth,this.minDay,b1.local.invalidYear),!1},monthsInYear:function(e){return this._validate(e,this.minMonth,this.minDay,b1.local.invalidYear),13},daysInYear:function(e){return this._validate(e,this.minMonth,this.minDay,b1.local.invalidYear),400},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,b1.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(e,t,r){var n=this._validate(e,t,r,b1.local.invalidDate);return(n.day()+1)%8},weekDay:function(e,t,r){var n=this.dayOfWeek(e,t,r);return n>=2&&n<=6},extraInfo:function(e,t,r){var n=this._validate(e,t,r,b1.local.invalidDate);return{century:Fer[Math.floor((n.year()-1)/100)+1]||\"\"}},toJD:function(e,t,r){var n=this._validate(e,t,r,b1.local.invalidDate);return e=n.year()+(n.year()<0?1:0),t=n.month(),r=n.day(),r+(t>1?16:0)+(t>2?(t-2)*32:0)+(e-1)*400+this.jdEpoch-1},fromJD:function(e){e=Math.floor(e+.5)-Math.floor(this.jdEpoch)-1;var t=Math.floor(e/400)+1;e-=(t-1)*400,e+=e>15?16:0;var r=Math.floor(e/32)+1,n=e-(r-1)*32+1;return this.newDate(t<=0?t-1:t,r,n)}});var Fer={20:\"Fruitbat\",21:\"Anchovy\"};b1.calendars.discworld=hQ});var CQe=ye(()=>{var xw=Sv(),zer=Fh();function dQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}dQ.prototype=new xw.baseCalendar;zer(dQ.prototype,{name:\"Ethiopian\",jdEpoch:17242205e-1,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(r){var t=this._validate(r,this.minMonth,this.minDay,xw.local.invalidYear),r=t.year()+(t.year()<0?1:0);return r%4===3||r%4===-1},monthsInYear:function(e){return 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vQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}vQ.prototype=new qx.baseCalendar;Oer(vQ.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(e){var t=this._validate(e,this.minMonth,this.minDay,qx.local.invalidYear);return this._leapYear(t.year())},_leapYear:function(e){return e=e<0?e+1:e,C9(e*7+1,19)<7},monthsInYear:function(e){return this._validate(e,this.minMonth,this.minDay,qx.local.invalidYear),this._leapYear(e.year?e.year():e)?13:12},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,qx.local.invalidYear);return e=t.year(),this.toJD(e===-1?1:e+1,7,1)-this.toJD(e,7,1)},daysInMonth:function(e,t){return e.year&&(t=e.month(),e=e.year()),this._validate(e,t,this.minDay,qx.local.invalidMonth),t===12&&this.leapYear(e)||t===8&&C9(this.daysInYear(e),10)===5?30:t===9&&C9(this.daysInYear(e),10)===3?29:this.daysPerMonth[t-1]},weekDay:function(e,t,r){return this.dayOfWeek(e,t,r)!==6},extraInfo:function(e,t,r){var 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t=Math.floor((30*(e-this.jdEpoch)+10646)/10631);t=t<=0?t-1:t;var r=Math.min(12,Math.ceil((e-29-this.toJD(t,1,1))/29.5)+1),n=e-this.toJD(t,r,1)+1;return this.newDate(t,r,n)}});hk.calendars.islamic=pQ});var PQe=ye(()=>{var dk=Sv(),Ber=Fh();function gQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}gQ.prototype=new dk.baseCalendar;Ber(gQ.prototype,{name:\"Julian\",jdEpoch:17214235e-1,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(r){var t=this._validate(r,this.minMonth,this.minDay,dk.local.invalidYear),r=t.year()<0?t.year()+1:t.year();return r%4===0},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,dk.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===2&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(e,t,r){var n=this._validate(e,t,r,dk.local.invalidDate);return e=n.year(),t=n.month(),r=n.day(),e<0&&e++,t<=2&&(e--,t+=12),Math.floor(365.25*(e+4716))+Math.floor(30.6001*(t+1))+r-1524.5},fromJD:function(e){var t=Math.floor(e+.5),r=t+1524,n=Math.floor((r-122.1)/365.25),i=Math.floor(365.25*n),a=Math.floor((r-i)/30.6001),o=a-Math.floor(a<14?1:13),s=n-Math.floor(o>2?4716:4715),l=r-i-Math.floor(30.6001*a);return s<=0&&s--,this.newDate(s,o,l)}});dk.calendars.julian=gQ});var RQe=ye(()=>{var ug=Sv(),Ner=Fh();function yQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}yQ.prototype=new ug.baseCalendar;Ner(yQ.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(e){return this._validate(e,this.minMonth,this.minDay,ug.local.invalidYear),!1},formatYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,ug.local.invalidYear);e=t.year();var r=Math.floor(e/400);e=e%400,e+=e<0?400:0;var n=Math.floor(e/20);return r+\".\"+n+\".\"+e%20},forYear:function(e){if(e=e.split(\".\"),e.length<3)throw\"Invalid Mayan year\";for(var t=0,r=0;r<e.length;r++){var n=parseInt(e[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";t=t*20+n}return t},monthsInYear:function(e){return this._validate(e,this.minMonth,this.minDay,ug.local.invalidYear),18},weekOfYear:function(e,t,r){return this._validate(e,t,r,ug.local.invalidDate),0},daysInYear:function(e){return this._validate(e,this.minMonth,this.minDay,ug.local.invalidYear),360},daysInMonth:function(e,t){return this._validate(e,t,this.minDay,ug.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(e,t,r){var n=this._validate(e,t,r,ug.local.invalidDate);return n.day()},weekDay:function(e,t,r){return this._validate(e,t,r,ug.local.invalidDate),!0},extraInfo:function(e,t,r){var n=this._validate(e,t,r,ug.local.invalidDate),i=n.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(e){e-=this.jdEpoch;var t=mQ(e+8+17*20,365);return[Math.floor(t/20)+1,mQ(t,20)]},_toTzolkin:function(e){return e-=this.jdEpoch,[IQe(e+20,20),IQe(e+4,13)]},toJD:function(e,t,r){var n=this._validate(e,t,r,ug.local.invalidDate);return n.day()+n.month()*20+n.year()*360+this.jdEpoch},fromJD:function(e){e=Math.floor(e)+.5-this.jdEpoch;var t=Math.floor(e/360);e=e%360,e+=e<0?360:0;var r=Math.floor(e/20),n=e%20;return this.newDate(t,r,n)}});function mQ(e,t){return e-t*Math.floor(e/t)}function IQe(e,t){return mQ(e-1,t)+1}ug.calendars.mayan=yQ});var FQe=ye(()=>{var bw=Sv(),Uer=Fh();function _Q(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}_Q.prototype=new bw.baseCalendar;var DQe=bw.instance(\"gregorian\");Uer(_Q.prototype,{name:\"Nanakshahi\",jdEpoch:22576735e-1,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(e){var t=this._validate(e,this.minMonth,this.minDay,bw.local.invalidYear||bw.regionalOptions[\"\"].invalidYear);return DQe.leapYear(t.year()+(t.year()<1?1:0)+1469)},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,bw.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===12&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(i,t,r){var n=this._validate(i,t,r,bw.local.invalidMonth),i=n.year();i<0&&i++;for(var a=n.day(),o=1;o<n.month();o++)a+=this.daysPerMonth[o-1];return a+DQe.toJD(i+1468,3,13)},fromJD:function(e){e=Math.floor(e+.5);for(var t=Math.floor((e-(this.jdEpoch-1))/366);e>=this.toJD(t+1,1,1);)t++;for(var r=e-Math.floor(this.toJD(t,1,1)+.5)+1,n=1;r>this.daysInMonth(t,n);)r-=this.daysInMonth(t,n),n++;return this.newDate(t,n,r)}});bw.calendars.nanakshahi=_Q});var zQe=ye(()=>{var ww=Sv(),Ver=Fh();function xQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}xQ.prototype=new ww.baseCalendar;Ver(xQ.prototype,{name:\"Nepali\",jdEpoch:17007095e-1,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(e){return this.daysInYear(e)!==this.daysPerYear},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,ww.local.invalidYear);if(e=t.year(),typeof this.NEPALI_CALENDAR_DATA[e]==\"undefined\")return this.daysPerYear;for(var r=0,n=this.minMonth;n<=12;n++)r+=this.NEPALI_CALENDAR_DATA[e][n];return r},daysInMonth:function(e,t){return e.year&&(t=e.month(),e=e.year()),this._validate(e,t,this.minDay,ww.local.invalidMonth),typeof this.NEPALI_CALENDAR_DATA[e]==\"undefined\"?this.daysPerMonth[t-1]:this.NEPALI_CALENDAR_DATA[e][t]},weekDay:function(e,t,r){return this.dayOfWeek(e,t,r)!==6},toJD:function(e,t,r){var n=this._validate(e,t,r,ww.local.invalidDate);e=n.year(),t=n.month(),r=n.day();var i=ww.instance(),a=0,o=t,s=e;this._createMissingCalendarData(e);var l=e-(o>9||o===9&&r>=this.NEPALI_CALENDAR_DATA[s][0]?56:57);for(t!==9&&(a=r,o--);o!==9;)o<=0&&(o=12,s--),a+=this.NEPALI_CALENDAR_DATA[s][o],o--;return t===9?(a+=r-this.NEPALI_CALENDAR_DATA[s][0],a<0&&(a+=i.daysInYear(l))):a+=this.NEPALI_CALENDAR_DATA[s][9]-this.NEPALI_CALENDAR_DATA[s][0],i.newDate(l,1,1).add(a,\"d\").toJD()},fromJD:function(e){var t=ww.instance(),r=t.fromJD(e),n=r.year(),i=r.dayOfYear(),a=n+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++,o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var u=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,u)},_createMissingCalendarData:function(e){var t=this.daysPerMonth.slice(0);t.unshift(17);for(var r=e-1;r<e+2;r++)typeof this.NEPALI_CALENDAR_DATA[r]==\"undefined\"&&(this.NEPALI_CALENDAR_DATA[r]=t)},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,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OQe=ye(()=>{var Q5=Sv(),Ger=Fh();function L9(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}function k9(e){var t=e-475;e<0&&t++;var r=.242197,n=r*t,i=r*(t+1),a=n-Math.floor(n),o=i-Math.floor(i);return a>o}L9.prototype=new Q5.baseCalendar;Ger(L9.prototype,{name:\"Persian\",jdEpoch:19483205e-1,daysPerMonth:[31,31,31,31,31,31,30,30,30,30,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Persian\",epochs:[\"BP\",\"AP\"],monthNames:[\"Farvardin\",\"Ordibehesht\",\"Khordad\",\"Tir\",\"Mordad\",\"Shahrivar\",\"Mehr\",\"Aban\",\"Azar\",\"Dey\",\"Bahman\",\"Esfand\"],monthNamesShort:[\"Far\",\"Ord\",\"Kho\",\"Tir\",\"Mor\",\"Sha\",\"Meh\",\"Aba\",\"Aza\",\"Dey\",\"Bah\",\"Esf\"],dayNames:[\"Yekshanbeh\",\"Doshanbeh\",\"Seshanbeh\",\"Chah\\u0101rshanbeh\",\"Panjshanbeh\",\"Jom'eh\",\"Shanbeh\"],dayNamesShort:[\"Yek\",\"Do\",\"Se\",\"Cha\",\"Panj\",\"Jom\",\"Sha\"],dayNamesMin:[\"Ye\",\"Do\",\"Se\",\"Ch\",\"Pa\",\"Jo\",\"Sh\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,Q5.local.invalidYear);return k9(t.year())},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(-((n.dayOfWeek()+1)%7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,Q5.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===12&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return this.dayOfWeek(e,t,r)!==5},toJD:function(e,t,r){var n=this._validate(e,t,r,Q5.local.invalidDate);e=n.year(),t=n.month(),r=n.day();var i=0;if(e>0)for(var a=1;a<e;a++)k9(a)&&i++;else if(e<0)for(var a=e;a<0;a++)k9(a)&&i--;return r+(t<=7?(t-1)*31:(t-1)*30+6)+(e>0?e-1:e)*365+i+this.jdEpoch-1},fromJD:function(e){e=Math.floor(e)+.5;var t=475+(e-this.toJD(475,1,1))/365.242197,r=Math.floor(t);r<=0&&r--,e>this.toJD(r,12,k9(r)?30:29)&&(r++,r===0&&r++);var n=e-this.toJD(r,1,1)+1,i=n<=186?Math.ceil(n/31):Math.ceil((n-6)/30),a=e-this.toJD(r,i,1)+1;return this.newDate(r,i,a)}});Q5.calendars.persian=L9;Q5.calendars.jalali=L9});var qQe=ye(()=>{var Tw=Sv(),Her=Fh(),P9=Tw.instance();function bQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}bQ.prototype=new Tw.baseCalendar;Her(bQ.prototype,{name:\"Taiwan\",jdEpoch:24194025e-1,yearsOffset:1911,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Taiwan\",epochs:[\"BROC\",\"ROC\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},leapYear:function(r){var t=this._validate(r,this.minMonth,this.minDay,Tw.local.invalidYear),r=this._t2gYear(t.year());return P9.leapYear(r)},weekOfYear:function(i,t,r){var n=this._validate(i,this.minMonth,this.minDay,Tw.local.invalidYear),i=this._t2gYear(n.year());return P9.weekOfYear(i,n.month(),n.day())},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,Tw.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===2&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(i,t,r){var n=this._validate(i,t,r,Tw.local.invalidDate),i=this._t2gYear(n.year());return P9.toJD(i,n.month(),n.day())},fromJD:function(e){var t=P9.fromJD(e),r=this._g2tYear(t.year());return this.newDate(r,t.month(),t.day())},_t2gYear:function(e){return e+this.yearsOffset+(e>=-this.yearsOffset&&e<=-1?1:0)},_g2tYear:function(e){return e-this.yearsOffset-(e>=1&&e<=this.yearsOffset?1:0)}});Tw.calendars.taiwan=bQ});var BQe=ye(()=>{var Aw=Sv(),jer=Fh(),I9=Aw.instance();function wQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}wQ.prototype=new Aw.baseCalendar;jer(wQ.prototype,{name:\"Thai\",jdEpoch:15230985e-1,yearsOffset:543,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Thai\",epochs:[\"BBE\",\"BE\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(r){var t=this._validate(r,this.minMonth,this.minDay,Aw.local.invalidYear),r=this._t2gYear(t.year());return I9.leapYear(r)},weekOfYear:function(i,t,r){var n=this._validate(i,this.minMonth,this.minDay,Aw.local.invalidYear),i=this._t2gYear(n.year());return I9.weekOfYear(i,n.month(),n.day())},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,Aw.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===2&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(i,t,r){var n=this._validate(i,t,r,Aw.local.invalidDate),i=this._t2gYear(n.year());return I9.toJD(i,n.month(),n.day())},fromJD:function(e){var t=I9.fromJD(e),r=this._g2tYear(t.year());return this.newDate(r,t.month(),t.day())},_t2gYear:function(e){return e-this.yearsOffset-(e>=1&&e<=this.yearsOffset?1:0)},_g2tYear:function(e){return e+this.yearsOffset+(e>=-this.yearsOffset&&e<=-1?1:0)}});Aw.calendars.thai=wQ});var NQe=ye(()=>{var Sw=Sv(),Wer=Fh();function TQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}TQ.prototype=new Sw.baseCalendar;Wer(TQ.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012Bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,Sw.local.invalidYear);return this.daysInYear(t.year())===355},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(e){for(var t=0,r=1;r<=12;r++)t+=this.daysInMonth(e,r);return t},daysInMonth:function(e,t){for(var r=this._validate(e,t,this.minDay,Sw.local.invalidMonth),n=r.toJD()-24e5+.5,i=0,a=0;a<Bx.length;a++){if(Bx[a]>n)return Bx[i]-Bx[i-1];i++}return 30},weekDay:function(e,t,r){return this.dayOfWeek(e,t,r)!==5},toJD:function(e,t,r){var n=this._validate(e,t,r,Sw.local.invalidDate),i=12*(n.year()-1)+n.month()-15292,a=n.day()+Bx[i-1]-1;return a+24e5-.5},fromJD:function(e){for(var t=e-24e5+.5,r=0,n=0;n<Bx.length&&!(Bx[n]>t);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),o=a+1,s=i-12*a,l=t-Bx[r-1]+1;return this.newDate(o,s,l)},isValid:function(e,t,r){var n=Sw.baseCalendar.prototype.isValid.apply(this,arguments);return n&&(e=e.year!=null?e.year:e,n=e>=1276&&e<=1500),n},_validate:function(e,t,r,n){var i=Sw.baseCalendar.prototype._validate.apply(this,arguments);if(i.year<1276||i.year>1500)throw n.replace(/\\{0\\}/,this.local.name);return i}});Sw.calendars.ummalqura=TQ;var 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",
          "dtype": "i2"
         },
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",
          "dtype": "f8"
         },
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",
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",
          "dtype": "i2"
         },
         "name": "𝐁·n̂ (T)",
         "opacity": 1,
         "showscale": true,
         "type": "mesh3d",
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",
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         }
        }
       ],
       "layout": {
        "font": {
         "family": "Times"
        },
        "height": 720.5403377110692,
        "scene": {
         "aspectmode": "data",
         "xaxis": {
          "backgroundcolor": "white",
          "gridcolor": "darkgrey",
          "showbackground": false,
          "showgrid": true,
          "showticklabels": true,
          "title": {
           "text": "X (m)"
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          "zeroline": true,
          "zerolinecolor": "darkgrey"
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          "gridcolor": "darkgrey",
          "showbackground": false,
          "showgrid": true,
          "showticklabels": true,
          "title": {
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          },
          "zeroline": true,
          "zerolinecolor": "darkgrey"
         },
         "zaxis": {
          "backgroundcolor": "white",
          "gridcolor": "darkgrey",
          "showbackground": false,
          "showgrid": true,
          "showticklabels": true,
          "title": {
           "text": "Z (m)"
          },
          "zeroline": true,
          "zerolinecolor": "darkgrey"
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        },
        "template": {
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              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
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              "size": 10,
              "solidity": 0.2
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            },
            "type": "barpolar"
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          ],
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             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
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            "baxis": {
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             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
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            "type": "carpet"
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          "choropleth": [
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            "colorbar": {
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             "ticks": ""
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            "type": "choropleth"
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            "type": "contour"
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             "outlinewidth": 0,
             "ticks": ""
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            "type": "contourcarpet"
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          "heatmap": [
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             "ticks": ""
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            "colorscale": [
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QNJA0oDSgNLA0sDTANMA00DTQNOA04DTwNPA1ADUANRA1EDUgNSA1MDUwNUA1QDVQNWA1YDVgNXA1cDWANYA1kDWQNaA1oDWwNbA1wDXANdA10DXgNeA18DXwNgA2ADYQNhA2IDYgNjA2MDZANkA2UDZQNmA2YDZwNnA2gDaANpA2kDagNqA2sDawNsA2wDbQNtA24DbgNvA28DcANwA3EDcQNyA3IDcwNzA3QDdAN1A3UDdgN2A3cDdwN4A3gDeQN5A3oDegN7A3sDfAN8A30DfQN+A34DfwN\\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\\u002fAD8QPxA\\u002fID8gPzA\\u002fMD9AP0A\\u002fUD9QP2A\\u002fYD9wP3A\\u002fgD+AP5A\\u002fkD+gP6A\\u002fsD+wP8A\\u002fwD\\u002fQP9A\\u002f4D\\u002fgP\\u002fA\\u002f8DAAQABAEEAQQCBAIEAwQDBAQEBAQFBAUEBgQGBAcEBwQIBAgECQQJBAoECgQLBAsEDAQNBA0EDQQOBA4EDwQPBBAEEAQRBBEEEgQSBBMEEwQUBBQEFQQVBBYEFgQXBBcEGAQYBBkEGQQaBBoEGwQbBBwEHAQdBB0EHgQeBB8EHwQgBCAEIQQhBCIEIgQjBCMEJAQkBCUEJQQmBCYEJwQnBCgEKAQpBCkEKgQqBCsEKwQsBCwELQQtBC4ELgQvBC8EMAQwBDEEMQQyBDIEMwQzBDQENAQ1BDUENgQ2BDcENwQ4BDgEOQQ5BDoEOgQ7BDsEPAQ8BD0EPQQ+BD4EPwQ\\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\\u002fBL8EwATABMEEwQTCBMIEwwTEBMQExATFBMUExgTGBMcExwTIBMgEyQTJBMoEygTLBMsEzATMBM0EzQTOBM4EzwTPBNAE0ATRBNEE0gTSBNME0wTUBNQE1QTVBNYE1gTXBNcE2ATYBNkE2QTaBNoE2wTbBNwE3ATdBN0E3gTeBN8E3wTgBOAE4QThBOIE4gTjBOME5ATkBOUE5QTmBOYE5wTnBOgE6ATpBOkE6gTqBOsE6wTsBOwE7QTtBO4E7gTvBO8E8ATwBPEE8QTyBPIE8wTzBPQE9AT1BPUE9gT2BPcE9wT4BPgE+QT5BPoE+gT7BPsE\\u002fAT8BP0E\\u002fQT+BP4E\\u002fwT\\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\\u002fBX8FgAWABYEFgQWCBYIFgwWDBYQFhAWFBYUFhgWGBYcFhwWIBYgFiQWJBYoFigWLBYsFjAWMBY0FjQWOBY4FjwWPBZAFkAWRBZEFkgWSBZMFkwWUBZQFlQWVBZYFlgWXBZcFmAWYBZkFmQWaBZoFmwWbBZwFnAWdBZ0FngWeBZ8FnwWgBaAFoQWhBaIFogWjBaMFpAWkBaUFpQWmBaYFpwWnBagFqAWpBakFqgWqBasFqwWsBawFrQWtBa4FrgWvBa8FsAWwBbEFsQWyBbIFswWzBbQFtAW1BbUFtgW2BbcFuAW4BbgFuQW5BboFugW7BbsFvAW8Bb0FvQW+Bb4FvwW\\u002fBcAFwAXBBcEFwgXCBcMFwwXEBcQFxQXFBcYFxgXHBccFyAXIBckFyQXKBcoFywXLBcwFzAXNBc0FzgXOBc8FzwXQBdAF0QXRBdIF0gXTBdMF1AXUBdUF1QXWBdYF1wXXBdgF2AXZBdkF2gXaBdsF2wXcBdwF3QXdBd4F3gXfBd8F4AXgBeEF4QXiBeIF4wXjBeQF5AXlBeUF5gXmBecF5wXoBegF6QXpBeoF6gXrBesF7AXsBe0F7QXuBe4F7wXvBfAF8AXxBfEF8gXyBfMF8wX0BfUF9QX1BfYF9gX3BfcF+AX4BfkF+QX6BfoF+wX7BfwF\\u002fAX9Bf0F\\u002fgX+Bf8F\\u002fwUABgAGAQYBBgIGAgYDBgMGBAYEBgUGBQYGBgYGBwYHBggGCAYJBgkGCgYKBgsGCwYMBgwGDQYNBg4GDgYPBg8GEAYQBhEGEQYSBhIGEwYTBhQGFAYVBhUGFgYWBhcGFwYYBhgGGQYZBhoGGgYbBhsGHAYcBh0GHQYeBh4GHwYfBiAGIAYhBiEGIgYiBiMGIwYkBiQGJQYlBiYGJgYnBicGKAYoBikGKQYqBioGKwYrBiwGLAYtBi0GLgYuBi8GLwYwBjAGMQYyBjIGMgYzBjMGNAY0BjUGNQY2BjYGNwY3BjgGOAY5BjkGOgY6BjsGOwY8BjwGPQY9Bj4GPgY\\u002fBj8GQAZABkEGQQZCBkIGQwZDBkQGRAZFBkUGRgZGBkcGRwZIBkgGSQZJBkoGSgZLBksGTAZMBk0GTQZOBk4GTwZPBlAGUAZRBlEGUgZSBlMGUwZUBlQGVQZVBlYGVgZXBlcGWAZYBlkGWQZaBloGWwZbBlwGXAZdBl0GXgZeBl8GXwZgBmAGYQZhBmIGYgZjBmMGZAZkBmUGZQZmBmYGZwZnBmgGaAZpBmkGagZqBmsGawZsBmwGbQZtBm4GbwZvBm8GcAZwBnEGcQZyBnIGcwZzBnQGdAZ1BnUGdgZ2BncGdwZ4BngGeQZ5BnoGegZ7BnsGfAZ8Bn0GfQZ+Bn4GfwZ\\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\\u002fQb9Bv4G\\u002fgb\\u002fBv8GAAcABwEHAQcCBwIHAwcDBwQHBAcFBwUHBgcGBwcHBwcIBwgHCQcJBwoHCgcLBwsHDAcMBw0HDQcOBw4HDwcPBxAHEAcRBxEHEgcSBxMHEwcUBxQHFQcVBxYHFgcXBxcHGAcYBxkHGQcaBxoHGwcbBxwHHAcdBx0HHgceBx8HHwcgByAHIQchByIHIgcjByMHJAckByUHJgcmByYHJwcnBygHKAcpBykHKgcqBysHKwcsBywHLQctBy4HLgcvBy8HMAcwBzEHMQcyBzIHMwczBzQHNAc1BzUHNgc2BzcHNwc4BzgHOQc5BzoHOgc7BzsHPAc8Bz0HPQc+Bz4HPwc\\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\\u002fB78HwAfAB8EHwQfCB8IHwwfDB8QHxAfFB8UHxgfGB8cHxwfIB8gHyQfJB8oHygfLB8sHzAfMB80HzQfOB84HzwfPB9AH0AfRB9EH0gfSB9MH0wfUB9QH1QfVB9YH1gfXB9cH2AfYB9kH2QfaB9oH2wfbB9wH3QfdB90H3gfeB98H3wfgB+AH4QfhB+IH4gfjB+MH5AfkB+UH5QfmB+YH5wfnB+gH6AfpB+kH6gfqB+sH6wfsB+wH7QftB+4H7gfvB+8H8AfwB\\u002fEH8QfyB\\u002fIH8wfzB\\u002fQH9Af1B\\u002fUH9gf2B\\u002fcH9wf4B\\u002fgH+Qf5B\\u002foH+gf7B\\u002fsH\\u002fAf8B\\u002f0H\\u002fQf+B\\u002f4H\\u002fwf\\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\\u002fCH8IgAiACIEIgQiCCIIIgwiDCIQIhAiFCIUIhgiGCIcIhwiICIgIiQiJCIoIigiLCIsIjAiMCI0IjQiOCI4IjwiPCJAIkAiRCJEIkgiSCJMIlAiUCJQIlQiVCJYIlgiXCJcImAiYCJkImQiaCJoImwibCJwInAidCJ0IngieCJ8InwigCKAIoQihCKIIogijCKMIpAikCKUIpQimCKYIpwinCKgIqAipCKkIqgiqCKsIqwisCKwIrQitCK4IrgivCK8IsAiwCLEIsQiyCLIIswizCLQItAi1CLUItgi2CLcItwi4CLgIuQi5CLoIugi7CLsIvAi8CL0IvQi+CL4Ivwi\\u002fCMAIwAjBCMEIwgjCCMMIwwjECMQIxQjFCMYIxgjHCMcIyAjICMkIyQjKCMoIywjLCMwIzAjNCM0IzgjOCM8IzwjQCNEI0QjRCNII0gjTCNMI1AjUCNUI1QjWCNYI1wjXCNgI2AjZCNkI2gjaCNsI2wjcCNwI3QjdCN4I3gjfCN8I4AjgCOEI4QjiCOII4wjjCOQI5AjlCOUI5gjmCOcI5wjoCOgI6QjpCOoI6gjrCOsI7AjsCO0I7QjuCO4I7wjvCPAI8AjxCPEI8gjyCPMI8wj0CPQI9Qj1CPYI9gj3CPcI+Aj4CPkI+Qj6CPoI+wj7CPwI\\u002fAj9CP0I\\u002fgj+CP8I\\u002fwgACQAJAQkBCQIJAgkDCQMJBAkECQUJBQkGCQYJBwkHCQgJCAkJCQkJCgkKCQsJCwkMCQwJDQkOCQ4JDgkPCQ8JEAkQCREJEQkSCRIJEwkTCRQJFAkVCRUJFgkWCRcJFwkYCRgJGQkZCRoJGgkbCRsJHAkcCR0JHQkeCR4JHwkfCSAJIAkhCSEJIgkiCSMJIwkkCSQJJQklCSYJJgknCScJKAkoCSkJKQkqCSoJKwkrCSwJLAktCS0JLgkuCS8JLwkwCTAJMQkxCTIJMgkzCTMJNAk0CTUJNQk2CTYJNwk3CTgJOAk5CTkJOgk6CTsJOwk8CTwJPQk9CT4JPgk\\u002fCT8JQAlACUEJQQlCCUIJQwlDCUQJRAlFCUUJRglGCUcJRwlICUgJSQlJCUoJSwlLCUsJTAlMCU0JTQlOCU4JTwlPCVAJUAlRCVEJUglSCVMJUwlUCVQJVQlVCVYJVglXCVcJWAlYCVkJWQlaCVoJWwlbCVwJXAldCV0JXgleCV8JXwlgCWAJYQlhCWIJYgljCWMJZAlkCWUJZQlmCWYJZwlnCWgJaAlpCWkJaglqCWsJawlsCWwJbQltCW4JbglvCW8JcAlwCXEJcQlyCXIJcwlzCXQJdAl1CXUJdgl2CXcJdwl4CXgJeQl5CXoJegl7CXsJfAl8CX0JfQl+CX4Jfwl\\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\\u002fQn9Cf4J\\u002fgn\\u002fCf8JAAoACgEKAgoCCgIKAwoDCgQKBAoFCgUKBgoGCgcKBwoICggKCQoJCgoKCgoLCgsKDAoMCg0KDQoOCg4KDwoPChAKEAoRChEKEgoSChMKEwoUChQKFQoVChYKFgoXChcKGAoYChkKGQoaChoKGwobChwKHAodCh0KHgoeCh8KHwogCiAKIQohCiIKIgojCiMKJAokCiUKJQomCiYKJwonCigKKAopCikKKgoqCisKKwosCiwKLQotCi4KLgovCi8KMAowCjEKMQoyCjIKMwozCjQKNAo1CjUKNgo2CjcKNwo4CjgKOQo5CjoKOgo7CjsKPAo8Cj0KPQo+Cj8KPwo\\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\\u002fCr8KwArACsEKwQrCCsIKwwrDCsQKxArFCsUKxgrGCscKxwrICsgKyQrJCsoKygrLCssKzArMCs0KzQrOCs4KzwrPCtAK0ArRCtEK0grSCtMK0wrUCtQK1QrVCtYK1grXCtcK2ArYCtkK2QraCtoK2wrbCtwK3ArdCt0K3greCt8K3wrgCuAK4QrhCuIK4grjCuMK5ArkCuUK5QrmCuYK5wrnCugK6ArpCukK6grqCusK6wrsCuwK7QrtCu4K7grvCu8K8ArwCvEK8QryCvIK8wrzCvQK9Ar1CvYK9gr2CvcK9wr4CvgK+Qr5CvoK+gr7CvsK\\u002fAr8Cv0K\\u002fQr+Cv4K\\u002fwr\\u002fCgALAAsBCwELAgsCCwMLAwsECwQLBQsFCwYLBgsHCwcLCAsICwkLCQsKCwoLCwsLCwwLDAsNCw0LDgsOCw8LDwsQCxALEQsRCxILEgsTCxMLFAsUCxULFQsWCxYLFwsXCxgLGAsZCxkLGgsaCxsLGwscCxwLHQsdCx4LHgsfCx8LIAsgCyELIQsiCyILIwsjCyQLJAslCyULJgsmCycLJwsoCygLKQspCyoLKgsrCysLLAssCy0LLQsuCy4LLwsvCzALMAsxCzELMgszCzMLMws0CzQLNQs1CzYLNgs3CzcLOAs4CzkLOQs6CzoLOws7CzwLPAs9Cz0LPgs+Cz8LPwtAC0ALQQtBC0ILQgtDC0MLRAtEC0ULRQtGC0YLRwtHC0gLSAtJC0kLSgtKC0sLSwtMC0wLTQtNC04LTgtPC08LUAtQC1ELUQtSC1ILUwtTC1QLVAtVC1ULVgtWC1cLVwtYC1gLWQtZC1oLWgtbC1sLXAtcC10LXQteC14LXwtfC2ALYAthC2ELYgtiC2MLYwtkC2QLZQtlC2YLZgtnC2cLaAtoC2kLaQtqC2oLawtrC2wLbAttC20LbgtuC28LcAtwC3ALcQtxC3ILcgtzC3MLdAt0C3ULdQt2C3YLdwt3C3gLeAt5C3kLegt6C3sLewt8C3wLfQt9C34Lfgt\\u002fC38LgAuAC4ELgQuCC4ILgwuDC4QLhAuFC4ULhguGC4cLhwuIC4gLiQuJC4oLiguLC4sLjAuMC40LjQuOC44LjwuPC5ALkAuRC5ELkguSC5MLkwuUC5QLlQuVC5YLlguXC5cLmAuYC5kLmQuaC5oLmwubC5wLnAudC50LngueC58LnwugC6ALoQuhC6ILogujC6MLpAukC6ULpQumC6YLpwunC6gLqAupC6kLqguqC6sLqwusC60LrQutC64LrguvC68LsAuwC7ELsQuyC7ILswuzC7QLtAu1C7ULtgu2C7cLtwu4C7gLuQu5C7oLugu7C7sLvAu8C70LvQu+C74Lvwu\\u002fC8ALwAvBC8ELwgvCC8MLwwvEC8QLxQvFC8YLxgvHC8cLyAvIC8kLyQvKC8oLywvLC8wLzAvNC80LzgvOC88LzwvQC9AL0QvRC9IL0gvTC9ML1AvUC9UL1QvWC9YL1wvXC9gL2AvZC9kL2gvaC9sL2wvcC9wL3QvdC94L3gvfC98L4AvgC+EL4QviC+IL4wvjC+QL5AvlC+UL5gvmC+cL5wvoC+gL6QvqC+oL6gvrC+sL7AvsC+0L7QvuC+4L7wvvC\\u002fAL8AvxC\\u002fEL8gvyC\\u002fML8wv0C\\u002fQL9Qv1C\\u002fYL9gv3C\\u002fcL+Av4C\\u002fkL+Qv6C\\u002foL+wv7C\\u002fwL\\u002fAv9C\\u002f0L\\u002fgv+C\\u002f8L\\u002fwsADAAMAQwBDAIMAgwDDAMMBAwEDAUMBQwGDAYMBwwHDAgMCAwJDAkMCgwKDAsMCwwMDAwMDQwNDA4MDgwPDA8MEAwQDBEMEQwSDBIMEwwTDBQMFAwVDBUMFgwWDBcMFwwYDBgMGQwZDBoMGgwbDBsMHAwcDB0MHQweDB4MHwwfDCAMIAwhDCEMIgwiDCMMIwwkDCQMJQwlDCYMJwwnDCcMKAwoDCkMKQwqDCoMKwwrDCwMLAwtDC0MLgwuDC8MLwwwDDAMMQwxDDIMMgwzDDMMNAw0DDUMNQw2DDYMNww3DDgMOAw5DDkMOgw6DDsMOww8DDwMPQw9DD4MPgw\\u002fDD8MQAxADEEMQQxCDEIMQwxDDEQMRAxFDEUMRgxGDEcMRwxIDEgMSQxJDEoMSgxLDEsMTAxMDE0MTQxODE4MTwxPDFAMUAxRDFEMUgxSDFMMUwxUDFQMVQxVDFYMVgxXDFcMWAxYDFkMWQxaDFoMWwxbDFwMXAxdDF0MXgxeDF8MXwxgDGAMYQxhDGIMYgxjDGQMZAxkDGUMZQxmDGYMZwxnDGgMaAxpDGkMagxqDGsMawxsDGwMbQxtDG4MbgxvDG8McAxwDHEMcQxyDHIMcwxzDHQMdAx1DHUMdgx2DHcMdwx4DHgMeQx5DHoMegx7DHsMfAx8DH0MfQx+DH4Mfwx\\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\\u002fQz9DP4M\\u002fgz\\u002fDP8MAA0ADQENAQ0CDQINAw0DDQQNBA0FDQUNBg0GDQcNBw0IDQgNCQ0JDQoNCg0LDQsNDA0MDQ0NDQ0ODQ4NDw0PDRANEA0RDRENEg0SDRMNEw0UDRQNFQ0VDRYNFg0XDRcNGA0YDRkNGQ0aDRsNGw0bDRwNHA0dDR0NHg0eDR8NHw0gDSANIQ0hDSINIg0jDSMNJA0kDSUNJQ0mDSYNJw0nDSgNKA0pDSkNKg0qDSsNKw0sDSwNLQ0tDS4NLg0vDS8NMA0wDTENMQ0yDTINMw0zDTQNNA01DTUNNg02DTcNNw04DTgNOQ05DToNOg07DTsNPA08DT0NPQ0+DT4NPw0\\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\\u002fDb8NwA3ADcENwQ3CDcINww3DDcQNxA3FDcUNxg3GDccNxw3IDcgNyQ3JDcoNyg3LDcsNzA3MDc0NzQ3ODc4Nzw3PDdAN0A3RDdIN0g3SDdMN0w3UDdQN1Q3VDdYN1g3XDdcN2A3YDdkN2Q3aDdoN2w3bDdwN3A3dDd0N3g3eDd8N3w3gDeAN4Q3hDeIN4g3jDeMN5A3kDeUN5Q3mDeYN5w3nDegN6A3pDekN6g3qDesN6w3sDewN7Q3tDe4N7g3vDe8N8A3wDfEN8Q3yDfIN8w3zDfQN9A31DfUN9g32DfcN9w34DfgN+Q35DfoN+g37DfsN\\u002fA38Df0N\\u002fQ3+Df4N\\u002fw3\\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\\u002fDn8OgA6ADoEOgQ6CDoIOgw6DDoQOhA6FDoUOhg6GDocOhw6IDokOiQ6JDooOig6LDosOjA6MDo0OjQ6ODo4Ojw6PDpAOkA6RDpEOkg6SDpMOkw6UDpQOlQ6VDpYOlg6XDpcOmA6YDpkOmQ6aDpoOmw6bDpwOnA6dDp0Ong6eDp8Onw6gDqAOoQ6hDqIOog6jDqMOpA6kDqUOpQ6mDqYOpw6nDqgOqA6pDqkOqg6qDqsOqw6sDqwOrQ6tDq4Org6vDq8OsA6wDrEOsQ6yDrIOsw6zDrQOtA61DrUOtg62DrcOtw64DrgOuQ65DroOug67DrsOvA68Dr0OvQ6+Dr4Ovw6\\u002fDsAOwA7BDsEOwg7CDsMOww7EDsQOxQ7GDsYOxg7HDscOyA7IDskOyQ7KDsoOyw7LDswOzA7NDs0Ozg7ODs8Ozw7QDtAO0Q7RDtIO0g7TDtMO1A7UDtUO1Q7WDtYO1w7XDtgO2A7ZDtkO2g7aDtsO2w7cDtwO3Q7dDt4O3g7fDt8O4A7gDuEO4Q7iDuIO4w7jDuQO5A7lDuUO5g7mDucO5w7oDugO6Q7pDuoO6g7rDusO7A7sDu0O7Q7uDu4O7w7vDvAO8A7xDvEO8g7yDvMO8w70DvQO9Q71DvYO9g73DvcO+A74DvkO+Q76DvoO+w77DvwO\\u002fA79Dv0O\\u002fg7+Dv8O\\u002fw4ADwAPAQ8BDwIPAw8DDwMPBA8EDwUPBQ8GDwYPBw8HDwgPCA8JDwkPCg8KDwsPCw8MDwwPDQ8NDw4PDg8PDw8PEA8QDxEPEQ8SDxIPEw8TDxQPFA8VDxUPFg8WDxcPFw8YDxgPGQ8ZDxoPGg8bDxsPHA8cDx0PHQ8eDx4PHw8fDyAPIA8hDyEPIg8iDyMPIw8kDyQPJQ8lDyYPJg8nDycPKA8oDykPKQ8qDyoPKw8rDywPLA8tDy0PLg8uDy8PLw8wDzAPMQ8xDzIPMg8zDzMPNA80DzUPNQ82DzYPNw83DzgPOA85DzkPOg86DzsPOw88DzwPPQ89Dz4PPg8\\u002fD0APQA9AD0EPQQ9CD0IPQw9DD0QPRA9FD0UPRg9GD0cPRw9ID0gPSQ9JD0oPSg9LD0sPTA9MD00PTQ9OD04PTw9PD1APUA9RD1EPUg9SD1MPUw9UD1QPVQ9VD1YPVg9XD1cPWA9YD1kPWQ9aD1oPWw9bD1wPXA9dD10PXg9eD18PXw9gD2APYQ9hD2IPYg9jD2MPZA9kD2UPZQ9mD2YPZw9nD2gPaA9pD2kPag9qD2sPaw9sD2wPbQ9tD24Pbg9vD28PcA9wD3EPcQ9yD3IPcw9zD3QPdA91D3UPdg92D3cPdw94D3gPeQ95D3oPeg97D3sPfA99D30PfQ9+D34Pfw9\\u002fD4APgA+BD4EPgg+CD4MPgw+ED4QPhQ+FD4YPhg+HD4cPiA+ID4kPiQ+KD4oPiw+LD4wPjA+ND40Pjg+OD48Pjw+QD5APkQ+RD5IPkg+TD5MPlA+UD5UPlQ+WD5YPlw+XD5gPmA+ZD5kPmg+aD5sPmw+cD5wPnQ+dD54Png+fD58PoA+gD6EPoQ+iD6IPow+jD6QPpA+lD6UPpg+mD6cPpw+oD6gPqQ+pD6oPqg+rD6sPrA+sD60PrQ+uD64Prw+vD7APsA+xD7EPsg+yD7MPsw+0D7QPtQ+1D7YPtg+3D7cPuA+4D7kPug+6D7oPuw+7D7wPvA+9D70Pvg++D78Pvw\\u002fAD8APwQ\\u002fBD8IPwg\\u002fDD8MPxA\\u002fED8UPxQ\\u002fGD8YPxw\\u002fHD8gPyA\\u002fJD8kPyg\\u002fKD8sPyw\\u002fMD8wPzQ\\u002fND84Pzg\\u002fPD88P0A\\u002fQD9EP0Q\\u002fSD9IP0w\\u002fTD9QP1A\\u002fVD9UP1g\\u002fWD9cP1w\\u002fYD9gP2Q\\u002fZD9oP2g\\u002fbD9sP3A\\u002fcD90P3Q\\u002feD94P3w\\u002ffD+AP4A\\u002fhD+EP4g\\u002fiD+MP4w\\u002fkD+QP5Q\\u002flD+YP5g\\u002fnD+cP6A\\u002foD+kP6Q\\u002fqD+oP6w\\u002frD+wP7A\\u002ftD+0P7g\\u002fuD+8P7w\\u002fwD\\u002fAP8Q\\u002fxD\\u002fIP8g\\u002fzD\\u002fMP9A\\u002f0D\\u002fUP9Q\\u002f2D\\u002fcP9w\\u002f3D\\u002fgP+A\\u002f5D\\u002fkP+g\\u002f6D\\u002fsP+w\\u002f8D\\u002fwP\\u002fQ\\u002f9D\\u002f4P\\u002fg\\u002f\\u002fD\\u002f8PABAAEAEQARACEAIQAxADEAQQBBAFEAUQBhAGEAcQBxAIEAgQCRAJEAoQChALEAsQDBAMEA0QDRAOEA4QDxAPEBAQEBAREBEQEhASEBMQExAUEBQQFRAVEBYQFhAXEBcQGBAYEBkQGRAaEBoQGxAbEBwQHBAdEB0QHhAeEB8QHxAgECAQIRAhECIQIhAjECMQJBAkECUQJRAmECYQJxAnECgQKBApECkQKhAqECsQKxAsECwQLRAtEC4QLhAvEC8QMBAwEDEQMRAyEDIQMxA0EDQQNBA1EDUQNhA2EDcQNxA4EDgQORA5EDoQOhA7EDsQPBA8ED0QPRA+ED4QPxA\\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\\u002fEL8QwBDAEMEQwRDCEMIQwxDDEMQQxBDFEMUQxhDGEMcQxxDIEMgQyRDJEMoQyhDLEMsQzBDMEM0QzRDOEM4QzxDPENAQ0BDRENEQ0hDSENMQ0xDUENQQ1RDVENYQ1hDXENcQ2BDYENkQ2RDaENoQ2xDbENwQ3BDdEN0Q3hDeEN8Q3xDgEOAQ4RDhEOIQ4hDjEOMQ5BDkEOUQ5RDmEOYQ5xDnEOgQ6BDpEOkQ6hDrEOsQ6xDsEOwQ7RDtEO4Q7hDvEO8Q8BDwEPEQ8RDyEPIQ8xDzEPQQ9BD1EPUQ9hD2EPcQ9xD4EPgQ+RD5EPoQ+hD7EPsQ\\u002fBD8EP0Q\\u002fRD+EP4Q\\u002fxD\\u002fEAARABEBEQERAhECEQMRAxEEEQQRBREFEQYRBhEHEQcRCBEIEQkRCREKEQoRCxELEQwRDBENEQ0RDhEOEQ8RDxEQERARERERERIREhETERMRFBEUERURFREWERYRFxEXERgRGBEZERkRGhEaERsRGxEcERwRHREdER4RHhEfER8RIBEgESERIREiESIRIxEjESQRJBElESURJhEmEScRKBEoESgRKREpESoRKhErESsRLBEsES0RLREuES4RLxEvETARMBExETERMhEyETMRMxE0ETQRNRE1ETYRNhE3ETcROBE4ETkRORE6EToRO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1iYrX4KXoS\\u002fANSan1uchz9gKTnCdXiHvwwE7X43TYU\\u002fyAkIUTzfgL8Y5S6iMaF4P2jk+Wa78We\\u002faHzwR2+kcb8g\\u002fBMtundVP0CbvIkqeGE\\u002fIGjYGFt1d79EfcGP+YSBPwSO3XUS2YW\\u002fzANO2Y3FhT\\u002fslbWkmRt\\u002fvwjKbvGgBlw\\u002fkFjCHIpPdz+4KiWv492Gv9iWBhCFRYQ\\u002fQHISRtkFT79Qc4NmAmqEv2BsZ1tEuIk\\u002fcBryHzHfZ7+A9L8UY1SFv7GmOpblKIs\\u002fzLOg7RQza79CydqPje6Cvz4403mqTYw\\u002fEEz5qoCRg7+QiYxdNWdgP0Am0ED\\u002fnXQ\\u002fjKj6Bm+Pg78o8XjP9lyHP\\u002fII1kJ4\\u002foe\\u002fJKdOdCBuhj\\u002fgcAqtEsSCv3HjQxdRm30\\u002fEHzwR2+kcb\\u002fA\\u002fxMtundVPwCavIkqeGE\\u002f+GfYGFt1d7+EfsGP+YSBP2yO3XUS2YW\\u002fvANO2Y3FhT8MlbWkmRt\\u002fv2DFbvGgBlw\\u002fEFjCHIpPdz8QKyWv492Gv0CWBhCFRYQ\\u002fgHESRtkFT7\\u002fwc4NmAmqEv2RsZ1tEuIk\\u002foBryHzHfZ79+9L8UY1SFv9GmOpblKIs\\u002fILOg7RQza7\\u002f3ydqPje6Cv14403mqTYw\\u002fMEz5qoCRg7\\u002fgiYxdNWdgP9Am0ED\\u002fnXQ\\u002faKj6Bm+Pg78o8XjP9lyHP9wI1kJ4\\u002foe\\u002fJKdOdCBuhj8fcQqtEsSCv7niQxdRm30\\u002faHzwR2+kcb9QE3PfdPF2v4ALNv6cwWY\\u002fAObseVOxSD\\u002fQ5iWVIGJyv7AnDonshX8\\u002ftEqV4q\\u002fnhL8gUktw2IKFPwFH\\u002ff9Vsn+\\u002fTDyp38WGYD8wDeES5Zh1P5w+ZRjbsIW\\u002fAHtB0gc+gz8AdRGGaLJQvwhzZjpZ9IK\\u002fnOtace6ziD+g5DCaV9lsv4Z7\\u002ffb3LIO\\u002f7NVwqEQQiz\\u002felMKueFFyv+4t7TVGGoG\\u002fwT98IadwjD+qxgmTYjyFvyTgoVRiAGg\\u002f5DQF9vvOcT\\u002fShgMFYpqCvxqO1\\u002fdN8YY\\u002feqpSj3BEiL9kyHA5dkWHP6hV2MPXYIS\\u002fFB5rCFQFgT\\u002fgEnPfdPF2v+ALNv6cwWY\\u002fAOPseVOxSD9Q5yWVIGJyv2ApDonshX8\\u002fIEuV4q\\u002fnhL\\u002fmUUtw2IKFP5pG\\u002ff9Vsn+\\u002fKDip38WGYD+YDeES5Zh1PyA\\u002fZRjbsIW\\u002fKHpB0gc+gz+AdRGGaLJQv9BzZjpZ9IK\\u002fyOtace6ziD\\u002fg4zCaV9lsv557\\u002ffb3LIO\\u002fKNZwqEQQiz+QlMKueFFyvzYu7TVGGoG\\u002fxT98IadwjD+YxgmTYjyFvwjgoVRiAGg\\u002fyDQF9vvOcT8YhwMFYpqCvwaO1\\u002fdN8YY\\u002fKqpSj3BEiL9uyHA5dkWHP8JV2MPXYIS\\u002fyh1rCFQFgT9QE3PfdPF2v4B52HB0w3u\\u002fYHyysaQYcT+AFMyskSREvwC2vktUR2q\\u002f4BAxjjS2ez8AJ4SGUcmDvwJkhhqDF4U\\u002fBeit17fsf7\\u002fgXQaZIzhiPyBsVWpuJnQ\\u002fCD+VT3J5hL+ovqxoMfWBP4C\\u002fh4CSlU2\\u002fCOj6p\\u002feSgb+IYntSlSuHP8BwAoF5WW+\\u002fEP2\\u002fusbbgL+E67fCxVCKPzCU44tb3na\\u002fl\\u002faKHF52fb884WHp8xOMP7MK6AYq3Ia\\u002f5Mt8ZGoXcD9w7HadPEptP0i7Sh+of4G\\u002fuu+aRDVehj\\u002fOxBXd\\u002fEuIv6lEIn7Q0Yc\\u002fmjIdvhuvhb8I4KTiZO2CPyB52HB0w3u\\u002f4HyysaQYcT8AG8yskSREv+C2vktUR2q\\u002f2BMxjjS2ez+0J4SGUcmDv+pjhhqDF4U\\u002fauet17fsf7\\u002foWgaZIzhiP9BrVWpuJnQ\\u002fuD+VT3J5hL+QvqxoMfWBP4DBh4CSlU2\\u002f0Oj6p\\u002feSgb\\u002fYYntSlSuHP4BvAoF5WW+\\u002fbP2\\u002fusbbgL+o67fCxVCKP7ST44tb3na\\u002fIPaKHF52fb\\u002fd4GHp8xOMP24K6AYq3Ia\\u002fKst8ZGoXcD+A7HadPEptP9i6Sh+of4G\\u002ffO+aRDVehj\\u002fOxBXd\\u002fEuIv6BEIn7Q0Yc\\u002fwDIdvhuvhb\\u002fY36TiZO2CP4B52HB0w3u\\u002f6JPmfbUAgL9gO4yWOGl2P8AiC9yPwl+\\u002fwDExLm1XX79gTdFOV693PzyKfRkFhYK\\u002fHEIW0fGFhD80nuNhVNB\\u002fv2CSsEPDD2M\\u002fAKqcea75cj9ocf5mljmDv2hEGyoOc4A\\u002fgEx\\u002fWcUXRL9AtwCxukqAv\\u002fgYepgfLYU\\u002fALf9ntUGb7\\u002fwAtnROyN9v3SPOHUP1Yg\\u002fpE1PAhOoer+OTT12xq53v0GXhIusDos\\u002fWBPXM61PiL9x3QRtIWd0P7TZFJ7jKmY\\u002fCUJwJSU9gL8Cq7SJXqaFP2SgzeXcGIi\\u002fDvW6k\\u002fYViD\\u002fWfY\\u002fjvauGv\\u002fxurIPReYQ\\u002fyJPmfbUAgL8QPIyWOGl2P0AjC9yPwl+\\u002fQDIxLm1XX7\\u002fwT9FOV693P+CKfRkFhYK\\u002fp0EW0fGFhD9YnuNhVNB\\u002fv7CPsEPDD2M\\u002fqKicea75cj\\u002focf5mljmDv\\u002fBDGyoOc4A\\u002fAE1\\u002fWcUXRL+QtwCxukqAvzgZepgfLYU\\u002fQLf9ntUGb79AA9nROyN9vxyPOHUP1Yg\\u002fdE1PAhOoer\\u002fxTT12xq53v2SXhIusDos\\u002fVRPXM61PiL8A3gRtIWd0PwTaFJ7jKmY\\u002fzUFwJSU9gL\\u002fmqrSJXqaFPzugzeXcGIi\\u002f1fS6k\\u002fYViD8Afo\\u002fjvauGv7xurIPReYQ\\u002f6JPmfbUAgL8QiE3KwsyBv5ASEK+TKHs\\u002fgMdxG1cUar+AH4IebZ5Ev9Cycl42i3M\\u002faimx4HQkgb\\u002fMQDQvttGDP0DlvwlZZH+\\u002fMGC3Y9IcYz+QhtCNIRNyP1CZ30\\u002f79YG\\u002fwCWwZJx+fT8AqrhLjlUnvzCC\\u002fhAXNn6\\u002fiHmF8efQgj9gi87NFuJrv8BM8Q5xA3m\\u002fZJRVIPuihj9wsiShYvN8vxqZl3n8HnG\\u002f2X+Qm\\u002fkxiT\\u002fsw3TzXGiJv0wlEPQi0Xg\\u002fQ8LSMU5WXD96qAgQa5h9v3HRYY8syYQ\\u002fjoSEe\\u002fuvh78KbmtsaxiIP9gdunZ6Voe\\u002fMP2xnMWjhT+gh03KwsyBv6ASEK+TKHs\\u002foMpxG1cUar+AI4IebZ5Ev2i0cl42i3M\\u002fJiqx4HQkgb85QDQvttGDP9zkvwlZZH+\\u002f8F63Y9IcYz+ghtCNIRNyP7iZ30\\u002f79YG\\u002f8CSwZJx+fT8ArLhLjlUnv6CC\\u002fhAXNn6\\u002f+HmF8efQgj+Ai87NFuJrv1BN8Q5xA3m\\u002f1JRVIPuihj\\u002f4sSShYvN8v7aZl3n8HnG\\u002f+X+Qm\\u002fkxiT\\u002fnwnTzXGiJv4glEPQi0Xg\\u002fWcbSMU5WXD+dqAgQa5h9v0TRYY8syYQ\\u002f7oOEe\\u002fuvh7\\u002fabWtsaxiIP\\u002fgdunZ6Voe\\u002fDP2xnMWjhT8QiE3KwsyBv5BH6xKeQYO\\u002fMPCkPRwsfz\\u002fgdrBXf7Bxv4DsFBXJ3kM\\u002fYCpQUtrMbj\\u002fEtkPF1mF\\u002fv8Sy4IEWAYM\\u002faBSK1ACwfr9g9kPGvYJiP+BeV05Nb3E\\u002fYM9LrR+1gL\\u002fA+QvR5cd5PwC+YCCwvDc\\u002fANpBadH+e79AGTTmezWAPyBJOx7zUma\\u002fQB2V8+yhdb+g8yK4XeeDP9izskgRI32\\u002fIHAm3MPHZL9OUajTBlWGP7wTCr6s44m\\u002feIqteM4ffT9g\\u002fvKHsOVEP0Lzazy7QHq\\u002fsLoJ8yLCgz\\u002fu3inCJheHvzbCqFvd4Ic\\u002frAV5RyCwh78w0cQ5EG+GP4BH6xKeQYO\\u002fMPGkPRwsfz+wd7BXf7Bxv4DrFBXJ3kM\\u002fQC1QUtrMbj+0t0PF1mF\\u002fvyyy4IEWAYM\\u002fYBOK1ACwfr\\u002fg8kPGvYJiP8BdV05Nb3E\\u002fINBLrR+1gL9g+QvR5cd5PwDCYCCwvDc\\u002f4NpBadH+e79wGTTmezWAP8BIOx7zUma\\u002fYB2V8+yhdb8w9CK4XeeDP7izskgRI32\\u002fmHAm3MPHZL+qUajTBlWGP2QTCr6s44m\\u002f1ImteM4ffT\\u002fg\\u002f\\u002fKHsOVEP6jyazy7QHq\\u002fgLoJ8yLCgz863ynCJheHv\\u002fbBqFvd4Ic\\u002fzAV5RyCwh7\\u002fg0MQ5EG+GP5BH6xKeQYO\\u002fWFaomgNehL8AoGLvNDKBPyDn9NCmy3W\\u002fQHaDikWXXD+w2\\u002fO9m79mP8mPCBrZZHy\\u002f9FXFVDccgj9IiWspCbx9vyDcU2O7amE\\u002f8EP0loYEcT\\u002fg\\u002fyqc8fl+v2CxoGqE33U\\u002fAAsJ9fZoTz9goMW8xuJ5v0DirCgz8no\\u002fAEDufPgmXr\\u002fg7zqauBBzv8DgQE856oA\\u002fkNXseX0Ve7\\u002fgw+PTadtRv72ABEoWfII\\u002frnf917hjib9otQSpq3mAP2BCgimh3UK\\u002fDEkkrJpQdr+SEvWjjYiCP4Daxgq4U4a\\u002fWC5uzRR2hz\\u002foxkyln7qHv+B33RVd54Y\\u002fcFaomgNehL\\u002fIoGLvNDKBP2Dn9NCmy3W\\u002fAHiDikWXXD\\u002fQ3\\u002fO9m79mPyaQCBrZZHy\\u002fnFXFVDccgj9wiWspCbx9v4DZU2O7amE\\u002f4EP0loYEcT8gACuc8fl+v8CwoGqE33U\\u002fAA0J9fZoTz\\u002fgoMW8xuJ5v8DirCgz8no\\u002fAEHufPgmXr9w8DqauBBzv9DgQE856oA\\u002fWNXseX0Ve79ww+PTadtRv+qABEoWfII\\u002faHf917hjib9AtQSpq3mAP4A7gimh3UK\\u002fUEgkrJpQdr9UEvWjjYiCP6Daxgq4U4a\\u002fQC5uzRR2hz8Qx0yln7qHv\\u002fB33RVd54Y\\u002fWFaomgNehL9wWHVV1CCFvwhcsvwhdII\\u002fEC2dmpJQeb\\u002fQZjx3y39mP9CVDrf0Xl4\\u002fJD1j2iBmeb8Ei2Qy\\u002fiqBP1DiMWnOlHy\\u002fABw2IzbuXz+ga8QtJMNwP4BApZNcoXy\\u002fQMqouZLtcT+Aq5zH8pBZP6DWjOYC1Xe\\u002fAIGS4Z5qdT8ALiK7mw9Mv8CpZN+mKXG\\u002f0N32bJDeez9wJ4yFsUJ3vwBdqJzV5hK\\u002fZInn61UkfD\\u002fgUhUFXICHvzCEc4oK0oE\\u002fAJBLYQxMX7\\u002fo9rY1j6Nxv0jA5v4mD4E\\u002foNVCjDBmhb8Ej66Jb92GP\\u002fhgKXvtfIe\\u002fiIP5cx4Yhz9YWHVV1CCFvyBcsvwhdII\\u002foC6dmpJQeb+gaDx3y39mP9CfDrf0Xl4\\u002ffD5j2iBmeb\\u002fwimQy\\u002fiqBP7DhMWnOlHy\\u002fQBY2IzbuXz+ga8QtJMNwP6BBpZNcoXy\\u002fIMqouZLtcT8Aq5zH8pBZPwDXjOYC1Xe\\u002fAIGS4Z5qdT8AMCK7mw9Mv6CpZN+mKXG\\u002fIN72bJDeez8QJ4yFsUJ3vwB\\u002fqJzV5hK\\u002fAIrn61UkfD\\u002fEUhUFXICHv2iEc4oK0oE\\u002foI1LYQxMX7+Q9rY1j6NxvxTA5v4mD4E\\u002f\\u002fNVCjDBmhb\\u002f4jq6Jb92GP9BgKXvtfIe\\u002fkIP5cx4Yhz9wWHVV1CCFv4hin48XioW\\u002fuMv8G4Rugz+A8CffuD98vzDfS2qhiG0\\u002fIISEKrarUD\\u002fU4ef5\\u002f4R2v2SlicAZNYA\\u002fIGp9iLFJe7\\u002fAThQ0tIFcP8ADB7q2mHA\\u002fQFhnbHNfer+AVpjy10BsP4BWZqVSY2E\\u002fIB3sdInKdb9AOY\\u002fHJP1vPwAgjEF4KyA\\u002fgBt42b1Mb78wvIJsLjx2P4DrTpa2cXK\\u002fANn0hyHEOz+wsRR8lcVzP+TioDFFHoS\\u002feFqkQbwXgj\\u002fgbi7ovFFrvyCwQEwGOmi\\u002fcKPSOYGGfj8o3oaBH0SEvzg5kjZHGoY\\u002fsHkN+KkGh7\\u002foX1bT3QiHP4Bin48XioW\\u002fqMz8G4Rugz+w8SffuD98vxDiS2qhiG0\\u002fMIeEKrarUD+44uf5\\u002f4R2vyylicAZNYA\\u002f8Gl9iLFJe7+ASxQ0tIFcP8ADB7q2mHA\\u002fAFlnbHNfer+AVJjy10BsP0BWZqVSY2E\\u002fgB7sdInKdb\\u002fAOI\\u002fHJP1vPwAgjEF4KyA\\u002fwBt42b1Mb78wvYJsLjx2PxDrTpa2cXK\\u002fgOn0hyHEOz8kshR8lcVzP7jioDFFHoS\\u002fmFqkQbwXgj+gbi7ovFFrvwCvQEwGOmi\\u002fgKPSOYGGfj8A3oaBH0SEvxg5kjZHGoY\\u002f6HkN+KkGh78wYFbT3QiHP4hin48XioW\\u002faJCBcB2ihb9owITaryqEP3DcfOG8n36\\u002fUB61AdDScT9wLUI6+YoyP1hTJaqK5nO\\u002f4IDb0S2Kfj8A6kaTkep5v4DYsp1ItFg\\u002fILdHUPh0cD+g5SDqEy54v4CdIZpPRmU\\u002fwOoJ1JlgZT9gImeFJrpzv4CSfq6wrWU\\u002fgCsxIL+dUD+AF4iXAHxsvyBy+yHuAnE\\u002fAMK6OLiwar8AuMPGPxM\\u002fPwA806Shfmo\\u002f4Gp35Qmxf78oeTSS6M+AP5D5YqrsVHO\\u002fwKdKTC\\u002fKVr+whs5qGBR6P3CzfCKc1IK\\u002fCPPW314rhT8gtJjZy2uGv1A6gwrJwYY\\u002fiJCBcB2ihb+QwYTaryqEP5DdfOG8n36\\u002f2B21AdDScT+wS0I6+YoyPyBUJaqK5nO\\u002f8H\\u002fb0S2Kfj9A6kaTkep5v4DSsp1ItFg\\u002fYLdHUPh0cD+g5iDqEy54v8CcIZpPRmU\\u002fgOsJ1JlgZT+gImeFJrpzv4CSfq6wrWU\\u002fgCsxIL+dUD\\u002fAFoiXAHxsv0Bx+yHuAnE\\u002fYMG6OLiwar+AxMPGPxM\\u002fP6Q806Shfmo\\u002fsGp35Qmxf79IeTSS6M+AP3D4YqrsVHO\\u002fAKRKTC\\u002fKVr+Qhs5qGBR6P2CzfCKc1IK\\u002f+PLW314rhT8wtJjZy2uGv0A6gwrJwYY\\u002faJCBcB2ihb8w3JzP0X+Fv5B5xWBjp4Q\\u002fsBpl8Cc+gL\\u002fAf0Wn3pB0P2BUeh1UPDe\\u002fIC4b0H6kcb9grtXbS9V8PwA4qF\\u002fbh3i\\u002fADsu3x2aVD8gCP\\u002fZeU5wP2BQjE+YB3a\\u002fgF60aqhDXj9Asg2syIxoPyAoCiekm3G\\u002fAPrqw5yCWD8ALkEgz9BcP0A\\u002fY8Nlcmm\\u002fQJ3dIL1VaD\\u002fANFQ59+ZgvwCh57taFjA\\u002fSFrnz4znYT+wfwm4OG53v1DzvLy6PXw\\u002fIJxwyk6Ed78AQI1cPTo3P+AX\\u002fZBLdXQ\\u002fMIO3qUXxgL+oDbtvaAaEP1DKZuintoW\\u002fgCaTFKdQhj8g3JzP0X+Fv9h6xWBjp4Q\\u002fYBtl8Cc+gL9Yf0Wn3pB0P0AZeh1UPDe\\u002fUC8b0H6kcb+grNXbS9V8P0A3qF\\u002fbh3i\\u002fADsu3x2aVD\\u002fgB\\u002f\\u002fZeU5wP0BRjE+YB3a\\u002fAFu0aqhDXj9Asg2syIxoP4AoCiekm3G\\u002fgPzqw5yCWD+ALkEgz9BcP0A\\u002fY8Nlcmm\\u002fwJzdIL1VaD\\u002fgM1Q59+Zgv4CU57taFjA\\u002fnFvnz4znYT+wfwm4OG53v8DzvLy6PXw\\u002fgJtwyk6Ed78AQI1cPTo3PwAX\\u002fZBLdXQ\\u002f4IK3qUXxgL\\u002fgDbtvaAaEP3DKZuintoW\\u002f4CaTFKdQhj8w3JzP0X+Fv+ALvUsFQ4W\\u002fMDdMQifohD8Yt\\u002fOIZfaAv7CXA4lhCnc\\u002fwDC0YAICTr9gAjXLuYBvv8AeLgbBb3s\\u002fIDMSquo2d78AOfBGaDNQP8Boi21jJnA\\u002fwCN51Qvtc78AY+oQoKpTPwBHVekmyGo\\u002fAGyYJ7fRbr8AkG9X0FlAP4BCy5x3FGM\\u002fwFu5hWjzZb+Ar1Jr+aleP8CE\\u002fiDoPVC\\u002fAKYd0T4rGL98xdBWB8pZP0AW0Cc0zHC\\u002foAPwe7LkdT+AyhCM75p4v8Clkdj0GGE\\u002fAGI7by5taj8gL6Td4s18vwBJUAcikoI\\u002fwBhvw2HZhL\\u002fAwEu2fsSFP8ALvUsFQ4W\\u002fMDdMQifohD8IuPOIZfaAvzSZA4lhCnc\\u002fgBq0YAICTr+gBDXLuYBvvwAeLgbBb3s\\u002fIDQSquo2d7+ANfBGaDNQPwBoi21jJnA\\u002fwCV51Qvtc78AXuoQoKpTP4BHVekmyGo\\u002fgGuYJ7fRbr8Ajm9X0FlAP0BCy5x3FGM\\u002fAF25hWjzZb8ArlJr+aleP0CD\\u002fiDoPVC\\u002fAJQd0T4rGL+OxtBWB8pZP3AW0Cc0zHC\\u002fgAPwe7LkdT9gyhCM75p4v0Clkdj0GGE\\u002fQGA7by5taj+AL6Td4s18v9BIUAcikoI\\u002fwBhvw2HZhL\\u002fQwEu2fsSFP+ALvUsFQ4W\\u002f0E8z5hQBhb\\u002fom2CNywCFP5AWvHBrjIG\\u002flFM4LyE2eT\\u002fA5pinkmZXv4DKASRbTWy\\u002fQKiwrSB1ej+A8s83QxZ2vwB3ohz8\\u002fkY\\u002fAKbH+FYLcD+Agi39w+lxvwD0PG+JtkQ\\u002fANxiSoYGbD8ANsHK2EFqvwD0w0fERDS\\u002fQEhXsThLZj8AmX82LvNhvwD\\u002f6YzNLEw\\u002fALAW0\\u002f3rFr8Ae+M69Z46v1j7qokSIVQ\\u002f8GzXimbwZ7+A\\u002fVMpmFRwP8BENa0CjXa\\u002fQFKO2p2Oaz+AYKL86XBQPwA\\u002ffH3T3nW\\u002fEO4MdumbgD\\u002fAz5ZqEamDv5BWIL3tH4U\\u002f0E8z5hQBhb94nGCNywCFP1QXvHBrjIG\\u002fHFU4LyE2eT8A3pinkmZXv4DLASRbTWy\\u002fwKewrSB1ej+A8c83QxZ2vwB3ohz8\\u002fkY\\u002fYKXH+FYLcD9Agy39w+lxvwDsPG+JtkQ\\u002fANxiSoYGbD8AOMHK2EFqvwD4w0fERDS\\u002fgEdXsThLZj+AmX82LvNhvwD76YzNLEw\\u002fAKgW0\\u002f3rFr8AieM69Z46v7j4qokSIVQ\\u002fsGvXimbwZ7+A\\u002fVMpmFRwP8BENa0CjXa\\u002fwFKO2p2Oaz+AXaL86XBQPyA+fH3T3nW\\u002fsO0MdumbgD8A0JZqEamDvxBXIL3tH4U\\u002f0E8z5hQBhb8Qen53gbCEv\\u002fDfqRYlDIU\\u002fZABjRKkWgr+Il8e7pBZ7P6CNi3Uvcl+\\u002fQKy8EqN3ab9A9K844ux5P4DJ1IrFS3W\\u002fAPBPFSWvOj8AvqauZBlwP0DVKkn1EnC\\u002fAPDH8AZ4Gz+AySj\\u002fIVdsPwBdMsqflWW\\u002fADI01SYVTr8Anj6cUCFoP4CQ3sSkG1u\\u002fALCTS0F8CL8AZT9bd1NEP4BPpd+WEES\\u002fwIu3ZstgUD+wLQOmoQphv4C0tbljNmg\\u002fwA5\\u002fTmn3cr8AyVjMUm1vPwA8V4TT+FW\\u002fAIDOapP6aL9Au1cpE4J7P1DT9++d34G\\u002fEIQvE0JJhD8Aen53gbCEv2jhqRYlDIU\\u002fNAFjRKkWgr+9mMe7pBZ7P0CGi3Uvcl+\\u002fQK68EqN3ab9A9K844ux5P6DJ1IrFS3W\\u002fAOBPFSWvOj\\u002fAvaauZBlwP4DXKkn1EnC\\u002fAODH8AZ4Gz+Ayij\\u002fIVdsP4BdMsqflWW\\u002fADA01SYVTr+AnT6cUCFoPwCP3sSkG1u\\u002fAMCTS0F8CL8AZz9bd1NEPwBgpd+WEES\\u002fMI63ZstgUD\\u002fwLQOmoQphv0C2tbljNmg\\u002fAA9\\u002fTmn3cr+AyljMUm1vPwA6V4TT+FW\\u002fgH3OapP6aL8Au1cpE4J7P5DT9++d34G\\u002fcIQvE0JJhD8Qen53gbCEv\\u002fDimp7ZH4S\\u002fSPZcc1QShT\\u002fIJC8dFqCCvyczTl1RzXw\\u002fYO\\u002fqxizIY79A9\\u002fID8cVmvwBPIm3kxnk\\u002fwIy24fb7dL8AKJ\\u002fcwf4hP0C\\u002f883IcnA\\u002fgL7hiUsJbb8AsKceDhM7vwAf1Rwe8ms\\u002fgDJdjH7oYL8AMoI\\u002fXx5WvwDB4ZDJrmg\\u002fAEx\\u002fMVP4Ub8AOQIhlfBKv4DjT7ZcVlI\\u002fgMi4QPAERr9gVcKGTLpJP0D\\u002fAETOxVe\\u002foMZkCgoDYj+AttgPp4Vuv8B78MNsLW4\\u002fgHPd6LONaL8ARD1PkqM1vwC62TWRuHI\\u002fwBbE9YAhfr9w\\u002fCrQZ\\u002fiCP+Dimp7ZH4S\\u002fOPdcc1QShT9UJS8dFqCCv+8yTl1RzXw\\u002fQOrqxizIY7+A+fID8cVmv+BNIm3kxnk\\u002foIy24fb7dL8AGJ\\u002fcwf4hP0C\\u002f883IcnA\\u002fgMDhiUsJbb8AtKceDhM7vwAf1Rwe8ms\\u002fgDNdjH7oYL8AMII\\u002fXx5WvwDA4ZDJrmg\\u002fgE1\\u002fMVP4Ub8ANwIhlfBKvwDmT7ZcVlI\\u002fAMe4QPAERr9gSsKGTLpJP8D+AETOxVe\\u002fwMdkCgoDYj+AtdgPp4Vuv8B68MNsLW4\\u002fgHLd6LONaL8ATD1PkqM1v0C62TWRuHI\\u002fABfE9YAhfr+w\\u002fCrQZ\\u002fiCP\\u002fDimp7ZH4S\\u002fgBZic+7wgr9QgS0KO+yEP4wKGBWZF4O\\u002fiMli14+Dfj\\u002fgBcZNTBBovwAvgEvQ9GO\\u002fYABvEiPdeT\\u002fAEfN\\u002fUD51vwDgjFDTMAy\\u002fQEG7vJ4vcT8AUnSxVrxqvwC8N7GjcU6\\u002fgFW+3WtAaz8A3SEntLRYvwAFBT9yI1u\\u002fAEcXPV8CaD8AjpcM5xhCvwDlivuNoVe\\u002fAB5mb8cqVz+A6VpKoRpDv0AvYSkAWkE\\u002fQGws\\u002fg\\u002flTr+Agatz4ZtaP4DDwqGVAmi\\u002fQCA3ypHHaj8Ahhat47JtvwDv58eBF18\\u002fAKEiyXWuWT+Aww\\u002fBmSZ1vxDp19thkYA\\u002fgBZic+7wgr+Igi0KO+yEP4ALGBWZF4O\\u002fQMpi14+Dfj9gBMZNTBBov4AxgEvQ9GO\\u002fAP9uEiPdeT\\u002fgEfN\\u002fUD51vwDgjFDTMAy\\u002fQEC7vJ4vcT8AVHSxVrxqvwDGN7GjcU6\\u002fAFa+3WtAaz8A4CEntLRYvwABBT9yI1u\\u002fAEcXPV8CaD8AlpcM5xhCv4DoivuNoVe\\u002fACJmb8cqVz+A7FpKoRpDv8A5YSkAWkE\\u002fwGgs\\u002fg\\u002flTr8Ag6tz4ZtaP0DEwqGVAmi\\u002fQCA3ypHHaj8AhRat47JtvwDs58eBF18\\u002fAKEiyXWuWT8AxA\\u002fBmSZ1v3Dp19thkYA\\u002fgBZic+7wgr9QaMrgKXqAv2hJwEROIYQ\\u002fHPdaNhw\\u002fg7+8pvm+QhmAPyCIUXAkpGy\\u002fQFpXZ6OsYL9g7hK2NPV5P0CHdKqdEna\\u002fAODKi7MWG7+AiSMUbElyP4A4\\u002fU85fWm\\u002fAESRAF89V78AxL37H9BqPwCffPXXDlC\\u002fAFdXejMcX7+ALrEHcytmPwAAqUlzkQy\\u002fgOzYqKgGX78ADoplFARZPwCkSFm5FDi\\u002fAJtzb2InLD8Q5vrsIpxAv8CilB4AFFM\\u002fwHcmzbeWYr9AZUuFjeFmPwBToLO4T22\\u002fAPE6w0RhaD8ACvjjEO1UvwBXwnVe22C\\u002fALgAsNDsdz8QaMrgKXqAvzBKwEROIYQ\\u002fePdaNhw\\u002fg7\\u002fKpvm+QhmAP8CBUXAkpGy\\u002fAF1XZ6OsYL8g7RK2NPV5P0CIdKqdEna\\u002fAKDKi7MWG78AiSMUbElyP4A7\\u002fU85fWm\\u002fAEaRAF89V7+Aw737H9BqPwCdfPXXDlC\\u002fAFZXejMcX78ALrEHcytmPwAgqUlzkQy\\u002fAOzYqKgGX78AEYplFARZPwCoSFm5FDi\\u002fAL9zb2InLD9A5PrsIpxAv4CdlB4AFFM\\u002fAHkmzbeWYr8AZkuFjeFmP8BRoLO4T22\\u002fAPI6w0RhaD8ABvjjEO1UvwBZwnVe22C\\u002fALgAsNDsdz9QaMrgKXqAv6BcdqBSV3e\\u002fGPzhy9ymgT+A3yc\\u002fl4uCvyREyRAIrYA\\u002fAFNLh32jcL+AIkTxzxVZv8Bv4ekPwHk\\u002fQMedrmFYd78A4OzxjkUEPwAybzaJjHM\\u002fAERXnXx\\u002fab8A2zx9VftdvwBvXAG6Lms\\u002fAI52NtIlQL8AmvljiGthvwAhlrHWVWM\\u002fAIg2dQt0OD8AoxOsDdhhvwCjaS6Idlg\\u002fAJASgbL5Dr8AStJT9YIjv6D5lrD0+SC\\u002fgNeN2GTRST+Ax7aackxcvwCNMxBaCGM\\u002fwPHQNNt5ar8A3WbkW2NqPwBL18POK2e\\u002fAAjTf1ywSj+AWjK2Vs5iPyBcdqBSV3e\\u002fIP3hy9ymgT+o3yc\\u002fl4uCv+BEyRAIrYA\\u002fsFBLh32jcL+AJETxzxVZv6Bv4ekPwHk\\u002fAMidrmFYd78AAO3xjkUEPwAybzaJjHM\\u002fAEdXnXx\\u002fab8A4jx9VftdvwBuXAG6Lms\\u002fAIZ2NtIlQL8AmfljiGthvwAhlrHWVWM\\u002fAHg2dQt0OD8AoROsDdhhv4CkaS6Idlg\\u002fAEATgbL5Dr8ASNJT9YIjv8D7lrD0+SC\\u002fAOeN2GTRST8Axbaackxcv8COMxBaCGM\\u002fgPDQNNt5ar9A3GbkW2NqP4BK18POK2e\\u002fAAzTf1ywSj8AWzK2Vs5iP6BcdqBSV3e\\u002fwLweeHGyYr\\u002fwPqw\\u002f6\\u002fd3P9g0+Mfi1n+\\u002fUAlxhXFNgD8gnK7UvolyvwBeHO2kH02\\u002fYISVMOfZeD9AWN8ZiMZ4vwCUZLSNiTk\\u002fwGbtRliYdD+AhukhN9xqvwBdxQfKOWG\\u002fAB0sEKGybD8AAB6rY14Qv4BqzvowVmO\\u002fAAqS5arGXz8AUG02gcBHPwCMRJpi9GK\\u002fgJUD9i0rVj8APlY+5ws0PwCw9EuDbEG\\u002fgCj4tLu6Jz8A9fr6Mv8\\u002fP8DBsndAHVW\\u002fAMaoWhDRXj+AH\\u002fIYsdRmv0B3aUUBMmk\\u002fQPTtQKPzar+AX0ijWiVjPwDEut1wVFC\\u002fgL0eeHGyYr\\u002fQQKw\\u002f6\\u002fd3P1A0+Mfi1n+\\u002f1AlxhXFNgD8Ama7UvolyvwBeHO2kH02\\u002fgISVMOfZeD8AWN8ZiMZ4vwCgZLSNiTk\\u002fwGXtRliYdD+AhOkhN9xqvwBfxQfKOWG\\u002fABwsEKGybD8AwB2rY14Qv4BpzvowVmO\\u002fAAiS5arGXz8ASm02gcBHP4CMRJpi9GK\\u002fAJkD9i0rVj8AJlY+5ws0PwCr9EuDbEG\\u002fAD\\u002f4tLu6Jz+ABvv6Mv8\\u002fP0DDsndAHVW\\u002fgMWoWhDRXj+AHfIYsdRmv4B1aUUBMmk\\u002fQPTtQKPzar+AYEijWiVjPwDHut1wVFC\\u002fwLweeHGyYr+AVx2YxZhBPyDqAXFMFmA\\u002fFPqH1X+sdL8gkTYCgnR7P7CCxowE93K\\u002fAFjMayrfH7\\u002fAhb4+isx2P4AmhdXe4Hm\\u002fACQ9mTA6Tj\\u002fAMLKQ5fB0P4DZNUBPfW2\\u002fgLP8rr3tYb8ARkqJREtvPwDU5UtQpjI\\u002fADS\\u002fh4g7Zb8AZOq0zdhYPwBji79LoFA\\u002fADfNOd0WY78A5VJsmLpSPwDSZw5YukY\\u002fAA9MbptFTb8AuqztcdE6PwBo0AdtxTE\\u002fABWjE2zuTr8AEYCH30dYP4ACplD7HmO\\u002fAL0uSeaqZj8ARkqTpjxqv4Clh\\u002fFdQWc\\u002fgPSHkIMaZr+AXh2YxZhBP2DvAXFMFmA\\u002f+PiH1X+sdL8QkjYCgnR7P7B\\u002fxowE93K\\u002fAEjMayrfH7+Ahr4+isx2PwAmhdXe4Hm\\u002fADI9mTA6Tj8AMLKQ5fB0P4DWNUBPfW2\\u002fALb8rr3tYb8ARUqJREtvPwDg5UtQpjI\\u002fADK\\u002fh4g7Zb8AZeq0zdhYPwBgi79LoFA\\u002fADbNOd0WY78A5lJsmLpSPwDSZw5YukY\\u002fAANMbptFTb8Aw6ztcdE6P4B+0AdtxTE\\u002fABajE2zuTr8AEYCH30dYPwADplD7HmO\\u002fwLsuSeaqZj9ARkqTpjxqv0Cnh\\u002fFdQWc\\u002fAPqHkIMaZr+AVx2YxZhBP+AnCq3Ssl8\\u002fYHNHb4tIUL8wEmfrcYlcv3x4aIQLn3A\\u002fgDfrcTdLcL8AZsZO2UxFP6CiCS+bH3M\\u002fwMG\\u002fzh3teb8AbaT6RJZZP8B2H4MPHnQ\\u002fQKJWvNiDcL8AC1O+7vRgv0DLmhJjOHE\\u002fABRz1wrFQD+AaTC6MuFmvwDyp4nsPlM\\u002fAFjy4A3QVD+A\\u002f+ndGotivwCWB1eJKE0\\u002fgAJsL4KWUT+AgUSxsIdTvwAb2u0I1UE\\u002fAIbB++TQIj+AZJkpMJxGv4ComEM6xFI\\u002fAPa+9\\u002fFeX79AocvHm5tjPwDhcniNpme\\u002fYNkmuBRtZz\\u002fQhOkYqkpqv0AnCq3Ssl8\\u002f4G5Hb4tIUL\\u002fYD2frcYlcvyx5aIQLn3A\\u002fgDbrcTdLcL8AcsZO2UxFP8CiCS+bH3M\\u002fwMC\\u002fzh3teb8AdqT6RJZZP8B1H4MPHnQ\\u002fgKFWvNiDcL8ADFO+7vRgv8DJmhJjOHE\\u002fAChz1wrFQD+AZzC6MuFmvwDyp4nsPlM\\u002fAFjy4A3QVD+A\\u002fundGotivwCWB1eJKE0\\u002fAAJsL4KWUT8AgESxsIdTv0Ae2u0I1UE\\u002fAIbB++TQIj8AaJkpMJxGvwCqmEM6xFI\\u002fgPS+9\\u002fFeX7\\u002fAocvHm5tjP8DhcniNpme\\u002fwNkmuBRtZz9QiOkYqkpqv+AnCq3Ssl8\\u002frBuEvwrFYz80nHcmjLNjv7QeIkHj1EI\\u002fmEItblgvUj+Ab8SJ+mVkvwCzbYAU5VI\\u002fQMT9ug1Kaz\\u002fA3r88JP93v4DvLpiW5mE\\u002fwAOODlrScT8ASJnRTGVyvwCUyvrV91y\\u002fgJI62ZGfcj8APHy1YwhDPwD9XrohB2i\\u002fAFJ+SzUWUD8AfvcLQeBYP4C744eZnmG\\u002fAPgz3Fj3Qz8A3UN2wjpXP4DTD+lU3Va\\u002fgMiJG1Y7Qz8AncU70BQcP4DCkeMBQUG\\u002fAF1Qv08UTT8A5iXi9ltZv8BWGGuZbWA\\u002fAHNO6\\u002fJ2ZL8AZ4w4j+JlP5hKZJoavGm\\u002fNByEvwrFYz9+mXcmjLNjvyAzIkHj1EI\\u002f8D4tblgvUj+ga8SJ+mVkv4C5bYAU5VI\\u002fwMT9ug1Kaz\\u002fA3r88JP93vwD0LpiW5mE\\u002fAAOODlrScT\\u002fARpnRTGVyvwCayvrV91y\\u002fwJE62ZGfcj8ASHy1YwhDP4D8XrohB2i\\u002fAE5+SzUWUD8AfvcLQeBYPwC744eZnmG\\u002fAAQ03Fj3Qz+A3EN2wjpXPwDUD+lU3Va\\u002fgNOJG1Y7Qz+ADMU70BQcP4DGkeMBQUG\\u002fAGRQv08UTT+A4yXi9ltZv8BVGGuZbWA\\u002fwHJO6\\u002fJ2ZL+gaIw4j+JlP+BLZJoavGm\\u002frBuEvwrFYz+Af\\u002frh8BpkP+jjQn8hNWe\\u002finPT7K4OXD9eB7seqzBOv+DJ72DnGku\\u002fQP3iVMHBUj+AwCxWJJpcP4BRf4I3ZHO\\u002fgPhr9J+RZT+ARfQnLipsPwCWQOmF33O\\u002fALumBBTsVb+ALF1qEVtzPwBsz7aOiT4\\u002fACPSMAOEaL8AMvugYbRPPwBV3WVnAF0\\u002fAMHMf8iYYL8ACK7G6WQ0PwDB4dqK5Vs\\u002fAHM603lmWL8A+QgxRQpCP5C1JHR0cyQ\\u002fACETfW+HPb8AUj53j2tHP4As1QxAVlS\\u002fAKc7aAHVWj8gxd8T\\u002fUhhv\\u002fBLFeCdkWM\\u002fyPMGlbk9Z78Ifvrh8BpkP6DiQn8hNWe\\u002fRHrT7K4OXD\\u002f0CrseqzBOv6DX72DnGku\\u002fgAjjVMHBUj+AwixWJJpcP+BQf4I3ZHO\\u002fgP9r9J+RZT+ARPQnLipsP0CTQOmF33O\\u002fAL6mBBTsVb\\u002fAK11qEVtzPwB4z7aOiT4\\u002fACTSMAOEaL8AMPugYbRPPwBX3WVnAF0\\u002fAMDMf8iYYL8AHK7G6WQ0PwC+4dqK5Vs\\u002fgHI603lmWL8AAgkxRQpCP0CyJHR0cyQ\\u002fAAoTfW+HPb+AUj53j2tHPwAq1QxAVlS\\u002fgKU7aAHVWj8gxd8T\\u002fUhhv+BNFeCdkWM\\u002fuvgGlbk9Z7+Af\\u002frh8BpkP6BP3+ce0WI\\u002f8NiCafnDZr\\u002f8XDoNZGFhPz5E47oVAWC\\u002fADuLzA+sOj8wpasemLJHPwC0jTKCgTc\\u002fQMZ4+MYVab+AHc0BE4dmP0Dssmx5ymI\\u002fQJFTysFWdL8AUnaJh\\u002fdLv0Ag4\\u002f2nBHM\\u002fAPhyVB0XJj8AmQyeYVFovwBzzBQgPFI\\u002fgE+1pvx9YD8AU5GFXGtfvwAAlwrhWdQ+gMnlWN5PXz8AvUWGfz9YvwASFYZf3D0\\u002fAB08Q78jMj+A\\u002fMtoYak9vwD\\u002fvBa5XUQ\\u002fAHxK8yxUUL8AoLwRIJJVP8BocUCExFy\\u002f4LuaowbvYD9wJ9e\\u002fOzJkvyBP3+ce0WI\\u002f0NyCafnDZr8cYjoNZGFhP\\u002f5E47oVAWC\\u002f4DyLzA+sOj\\u002fwsasemLJHPwDDjTKCgTc\\u002fQMN4+MYVab\\u002fAI80BE4dmP4Dssmx5ymI\\u002fAI9TysFWdL8AWnaJh\\u002fdLv8Af4\\u002f2nBHM\\u002fADBzVB0XJj+AlwyeYVFovwBvzBQgPFI\\u002fgE21pvx9YD8AUZGFXGtfvwAAmwrhWdQ+gMXlWN5PXz8AukWGfz9YvwAgFYZf3D0\\u002fgAk8Q78jMj8A88toYak9v4AHvRa5XUQ\\u002fAHRK8yxUUL+AmLwRIJJVP0BqcUCExFy\\u002fsL2aowbvYD8cK9e\\u002fOzJkv6BP3+ce0WI\\u002fYEbmj6PPYD\\u002fANkbW17Bkv8DtljgTomE\\u002fkEmCb2IUY7+A+1h+dZlSP4BKDpdUISc\\u002fHAhllii7QL\\u002fAc6DakRNVv4CofSx6SWQ\\u002fAA2kLtvAUj9APfZrcElzvwD0utw+aTm\\u002fgJIUtCpzcT8AtNPXbPMxvwDK6o6GhWe\\u002fAGiBHbZFVj+Axlsb8CNiPwC6WbT+QV6\\u002fAHRJq\\u002fxaM7+AAMrJWbFgP4CJzgOt0Va\\u002fAGoT7pYmNT+A6L91y3Y9PwDrk+nE5kC\\u002fABSN\\u002f59gQz8Ass7grZBKvwDlukWsT1E\\u002fgK0PgvC2V78AEpVHP49cPzgWen7ZPWG\\u002f4Ebmj6PPYD9QOkbW17Bkv9D0ljgTomE\\u002fEEuCb2IUY7+w\\u002flh+dZlSPwC2DpdUISc\\u002fCP1klii7QL8AcaDakRNVvwCyfSx6SWQ\\u002fgBCkLtvAUj9AO\\u002fZrcElzvwAUu9w+aTm\\u002fAJIUtCpzcT8AoNPXbPMxv4DJ6o6GhWe\\u002fAGiBHbZFVj+AxVsb8CNiPwC5WbT+QV6\\u002fAGBJq\\u002fxaM78A\\u002fsnJWbFgP4CEzgOt0Va\\u002fAGkT7pYmNT8A5r91y3Y9PwDik+nE5kC\\u002fAA+N\\u002f59gQz8As87grZBKv0DhukWsT1E\\u002fQK4PgvC2V78wFZVHP49cPwgZen7ZPWG\\u002fYEbmj6PPYD\\u002fgfQtcfB1dP9AKIL3HK2K\\u002f4DwZQR5mYD8C7ObRBydjv4CDV5edalg\\u002fAHJcxv0CNL9ArqKXlAZNv6AaQy5ZSiM\\u002fYMdh\\u002fe4oXz8AmoqAHTMuP6CWN0camHC\\u002fAADxhnBVxT6Aln1MvZhtPwDu242\\u002f1Um\\u002fgBMsO8FAZr8AMjsllrRaPwDPOP7hHGM\\u002fAP358qfhXb8AyNHr451CvwDo7MUJImE\\u002fAKT64\\u002f2tVL8AMNs70c4lP4D3d28UUkU\\u002fAE0TRqpBRL+Az\\u002f\\u002f4lLhDPwA87iexJ0a\\u002fgIya5fMmTD8AQNy+qG5Tv5Bz4xtnp1c\\u002fcMWTXnU5Xb9gfQtcfB1dP4ALIL3HK2K\\u002f+EAZQR5mYD9e7ebRBydjv6CCV5edalg\\u002fAE1cxv0CNL8Aq6KXlAZNv6BKQy5ZSiM\\u002fINRh\\u002fe4oXz8AooqAHTMuP0CVN0camHC\\u002fAADhhnBVxT6Ak31MvZhtPwDe242\\u002f1Um\\u002fABQsO8FAZr8AMzsllrRaP4DNOP7hHGM\\u002fAPv58qfhXb8AwNHr451Cv4Dm7MUJImE\\u002fgKP64\\u002f2tVL8AENs70c4lP0D6d28UUkU\\u002f4E0TRqpBRL8A0P\\u002f4lLhDPwBD7iexJ0a\\u002fgICa5fMmTD9AQdy+qG5Tv9B14xtnp1c\\u002fsMmTXnU5Xb\\u002fgfQtcfB1dP8AapM1tr1g\\u002foA6FSSJ9X7+AY5WjFBhdPzGWpifRv2G\\u002f4M+3DwhXWj8AgM1w6HFFvwAT3Mgx1U6\\u002fYEhCp0SaUT+QuyZe7IJTP4BHrMPNNDW\\u002fwP\\u002fifghYab8AHFFla6oyP8CN6oaG92Y\\u002fALF+olfzVL+AqBqvoJhkvwCJeLE3ZF4\\u002fALULoyAmYz8AMlyl+UNevwC4dOtkzEm\\u002fgN5XrqEqYT8AA8HOCF5SvwCAIk5Ga9u+gE6auG8ITD\\u002fQypSAxCJIvwBK2pvtpUQ\\u002fgNsfoBESQ7+AOBu0xGtHP4DZ\\u002fg8jvU+\\u002fwM1JzhlpUz8QDGKA56pYv8AapM1tr1g\\u002fwBeFSSJ9X78AcZWjFBhdPwabpifRv2G\\u002fwNK3DwhXWj+Abc1w6HFFvwAB3Mgx1U6\\u002f4ERCp0SaUT+4ySZe7IJTP4AxrMPNNDW\\u002fgPnifghYab8A\\u002flBla6oyPwCK6oaG92Y\\u002fAKd+olfzVL+AqRqvoJhkvwCKeLE3ZF4\\u002fgLMLoyAmYz8AL1yl+UNevwCydOtkzEm\\u002fgN5XrqEqYT+AAcHOCF5SvwCAHk5Ga9u+gE2auG8ITD9AzpSAxCJIvwBD2pvtpUQ\\u002fANkfoBESQ78ALRu0xGtHP4DW\\u002fg8jvU+\\u002foNBJzhlpUz9gEWKA56pYv8AapM1tr1g\\u002fwPWlhXWvVD+AL7mrtSpbv2AM\\u002fwD+Glk\\u002fCMtu5RyNX78gbyOquflZPwBKjfVoYEy\\u002fAJAUGIwmS7\\u002fAtUyLYm1ZPwBz4TGWNz8\\u002f8KBqPSziQb+gLpmpd5VgvwB3oBadTj0\\u002fAD7A9t8aYD8AumzWkPtavwB85zpYjGK\\u002fgI5YkW1NYD+AVmenSydiPwAIjWInM1+\\u002fAGJK2k9cTr+AbyOXZA9hPwC7NQW6PVC\\u002fAGRgZ3lrKb9A4zvBSxRRP2AbNOGh3Uu\\u002fAKKehESJRT8AOHaeQ+JAvwBPWhkr7kM\\u002fgK5j\\u002fsLiSb+AC97IdcpPP9Ay8ON3tVS\\u002fgPWlhXWvVD8AMLmrtSpbv+AS\\u002fwD+Glk\\u002fLMtu5RyNX78AbCOquflZP4BDjfVoYEy\\u002fgJAUGIwmS7+AsEyLYm1ZPwC54TGWNz8\\u002fIJlqPSziQb+wKZmpd5VgvwBXoBadTj0\\u002fgDvA9t8aYD+ArmzWkPtav4B85zpYjGK\\u002fgI9YkW1NYD8AVGenSydiPwAIjWInM1+\\u002fAGJK2k9cTr+AbiOXZA9hPwC1NQW6PVC\\u002fAGBgZ3lrKb8A4jvBSxRRPxAPNOGh3Uu\\u002fgIqehESJRT+AMXaeQ+JAvwBEWhkr7kM\\u002fgLBj\\u002fsLiSb+AEd7IdcpPP9A58ON3tVS\\u002fwPWlhXWvVD8gIDh4M0ZRP0DPZ5woXle\\u002fYGjENkVYVT+4krL0\\u002fXNbv6BTUYQ6X1g\\u002fAEace3OBT78AwJGM5B5Fv0AYjn58BFw\\u002fAKRjnWRFJr\\u002fAD+FBR\\u002fBBvyKAcDjW4FC\\u002fgFPJQlEDQD+AlJ\\u002fH7\\u002fJTPwCrTXX6yV2\\u002fACtfZNAIYL8A3y+jipBgP4DIDUc3NmA\\u002fgMXEhQQuYL8AYG5KGKZPv4CT6NVWF2E\\u002fAIU7dYHXTL8ALv9szMY5vwClJywel1M\\u002foOrIGubxTr9AAJUvWfdFPwAk8NxSUD6\\u002fgNkyq14pQT8AeMoIZBZFv0A1wtC4DUo\\u002fADWMSg89Ub9AHDh4M0ZRP8DeZ5woXle\\u002foGfENkVYVT\\u002fQkbL0\\u002fXNbv8BJUYQ6X1g\\u002fACece3OBT7+ArpGM5B5Fv4AWjn58BFw\\u002fADZjnWRFJr9AB+FBR\\u002fBBvzp1cDjW4FC\\u002fAEzJQlEDQD+AkZ\\u002fH7\\u002fJTPwChTXX6yV2\\u002fAC1fZNAIYL+A3i+jipBgP4DIDUc3NmA\\u002fAMfEhQQuYL8AWm5KGKZPv4CQ6NVWF2E\\u002fAHs7dYHXTL8AGv9szMY5v4CgJywel1M\\u002fAOrIGubxTr\\u002fA\\u002fpQvWfdFPwAZ8NxSUD6\\u002fAMoyq14pQT+AeMoIZBZFvwA+wtC4DUo\\u002f4DiMSg89Ub8gIDh4M0ZRPwB3ck\\u002fl4kw\\u002fwKVQqDn6U7\\u002fAYSCrNQ1SPwCTo5Wfq1e\\u002fIERuh7YrVj8AgewCHNdPvwCSzJdiCD2\\u002fAN3NhRZvWz8A9LRlkGxHvwDZC336tjy\\u002fAJI\\u002fQd+LLr9AKLThtvw6P4Bx4dKqiEQ\\u002fgHgQUynRXL8Aq8O9kfRZv4DJ\\u002fNYbE2A\\u002fAP52TbYQWz+AwnMe+LVgvwB+Ooo3a02\\u002fAEtP7zF5YT8A2bx2wqdJvwC3MSGek0O\\u002fwJuIKDprVT9Aj7FsEIpQv0BWX0Wsu0U\\u002fAIuAqIMAO78A+UPIQF89P4BYX587E0G\\u002fwMj88tFQRT8AcGuKPl9Mv4Bxck\\u002fl4kw\\u002fAKVQqDn6U7+AaSCrNQ1SPzCXo5Wfq1e\\u002fQDxuh7YrVj8AYuwCHNdPvwCJzJdiCD2\\u002fgNvNhRZvWz8A3LRlkGxHvwDwC336tjy\\u002fADQ\\u002fQd+LLr8gFLThtvw6P4Bp4dKqiEQ\\u002fgG0QUynRXL8ArsO9kfRZvwDI\\u002fNYbE2A\\u002fAPx2TbYQWz+AwnMe+LVgvwB0Ooo3a02\\u002fAElP7zF5YT8Azrx2wqdJvwC0MSGek0O\\u002fwJSIKDprVT+gjrFsEIpQvwBdX0Wsu0U\\u002fAJyAqIMAO78AxkPIQF89PwBZX587E0G\\u002fgND88tFQRT\\u002fgd2uKPl9MvwB3ck\\u002fl4kw\\u002fwGnQ+ycoSD8AHY6G7OZQv4BmfulXjk4\\u002foPfscKtbVL9QTcQCNL1TPwAGAxpqZk6\\u002fAESTMFasML+AuDfHQEVZP4CSnX2PulK\\u002fAPDlGC\\u002fMMr8AJIHzxBM1PwC\\u002ffXo4Iy0\\u002fAMnKeXYaKz+A3+dliz5YvwA6mClOw1K\\u002fACUGhw4JXj8A6848hrhUPwDySxp3F2G\\u002fALTovJn5R78AemOaiEtiPwBs7P4ml0a\\u002fADI+cH\\u002f9Sb+AnKmvBJFWP0BsewREFlG\\u002fAL9psoHNRD8Arm0sqDw3vwDNpC+UaTg\\u002fAMH2WbYbO79A46wTKktBP4Q1bSlGAUe\\u002fQGbQ+ycoSD8AI46G7OZQv4B+fulXjk4\\u002f4P\\u002fscKtbVL8gTMQCNL1TPwDnAhpqZk6\\u002fADaTMFasML8AtjfHQEVZPwCGnX2PulK\\u002fAMblGC\\u002fMMr8ATYHzxBM1PwC4fXo4Iy0\\u002fALzKeXYaKz8A1edliz5Yv4A+mClOw1K\\u002fACQGhw4JXj8A6848hrhUPwDxSxp3F2G\\u002fAKzovJn5R7+AeGOaiEtiPwBi7P4ml0a\\u002fAEc+cH\\u002f9Sb8Am6mvBJFWP+BuewREFlG\\u002fQL1psoHNRD8AsW0sqDw3vwC2pC+UaTg\\u002fAMH2WbYbO78A7awTKktBPyQ+bSlGAUe\\u002fwGnQ+ycoSD8AoCeVXRJEPwDS9iXnMky\\u002fADvdVLToST9Awo358YFRvzDF2jOIRlE\\u002fAMAbq3YKTL8AGMIQyWsZv4B1tb42m1Y\\u002fgNrJNvC\\u002fV78AfBdIpQwgvwCfhDsFLUU\\u002fAGwC7k6TEb8Af832mTIRv8BsFSJ20FC\\u002fACLnxMCHRb8A99lZQSNbPwDkXlxQoEs\\u002fgP\\u002f65r5PYb8AfvMtdDBAv4B5T4ysfGM\\u002fAESHjgNmQ78AQBEca5VPv4CBqv6UJVc\\u002fwOD3g9EnUb+AEbb33z1DPwAna0m2pDK\\u002fAGLvmU4aMz8AHk5NcYE0vwBXe3lNizs\\u002fSIYAJrNDQr\\u002fAnSeVXRJEPwDl9iXnMky\\u002fgErdVLToST\\u002fgxI358YFRv6DA2jOIRlE\\u002fAKIbq3YKTL8A0MEQyWsZvwB1tb42m1Y\\u002fANTJNvC\\u002fV78AaBdIpQwgvwCzhDsFLUU\\u002fAKAC7k6TEb8Apc32mTIRvwBiFSJ20FC\\u002fACnnxMCHRb8A9tlZQSNbPwDiXlxQoEs\\u002fAP765r5PYb8AdvMtdDBAvwB5T4ysfGM\\u002fAD6HjgNmQ78AQxEca5VPv4B9qv6UJVc\\u002fwOL3g9EnUb9wE7b33z1DPwAua0m2pDK\\u002fAFnvmU4aMz8AIk5NcYE0vwBle3lNizs\\u002fAI0AJrNDQr8AoCeVXRJEP4DTeIhCY0A\\u002fgH2j6wseR7+Abs9di+dFPwDQx49cFE6\\u002fiOfgArXETT+Aiy59kFtJvwDgv8PkGfM+gEIXkqcTVD+AiR29FttavwCA4qNV4Qk\\u002fAF+kAmm3ST8A4Owr9nw8vwBExAd2ES6\\u002fQCoGEI5QPr8AEhTEmwAkv4AS0+rirFc\\u002fAHDMQt+sOj+AZkfGVG5hvwBwqFP0cS2\\u002fACsl0R3VZD8AmHVHyhhAv4CnCIjF6lG\\u002fgD3BlWlZVz+AJ2hZodlQv4hpqTYVJkE\\u002fALskq7MjKr8AeiOJqZ8qPwAwFRPI4iu\\u002fACnL\\u002flguNT8gknsaFQU8v4DPeIhCY0A\\u002fAIOj6wseR7+Ahs9di+dFP0DVx49cFE6\\u002feNrgArXETT+AdC59kFtJvwCQwsPkGfM+AEgXkqcTVD+AfR29FttavwAg5KNV4Qk\\u002fAHakAmm3ST8A3+wr9nw8vwBQxAd2ES6\\u002fAAMGEI5QPr8ANhTEmwAkv4AQ0+rirFc\\u002fAGzMQt+sOj8AZ0fGVG5hvwCQqFP0cS2\\u002fACgl0R3VZD8AiHVHyhhAv4CnCIjF6lG\\u002fAD7BlWlZVz+AKGhZodlQvyhkqTYVJkE\\u002fAOgkq7MjKr8ALiOJqZ8qPwACFRPI4iu\\u002fACzL\\u002flguNT+Ao3saFQU8v4DTeIhCY0A\\u002fgMlq+9vhOT8Aeyall4pCv4DelpdCRkI\\u002fgAerFAa2Sb8oqF6v9zxJPwBknN0BqUa\\u002fAFS4NjdvFj+A+A3l3\\u002fxRPwC9r0nLS1y\\u002fAMhDczkfLj8Ae5advOtJPwBJDDgP8Eu\\u002fAKIjwbY0Nb\\u002fAHoNvOKYiP4DKQ4O7STU\\u002fgLAELC+8Uz8AQNLG1m76vgBKGhADhGG\\u002fAMBFCOwtAT+AHe0hlgRmPwA4MaNrBDq\\u002fgMdIDS0vU7+AbYThk2VXP4BTISVkUFC\\u002fwKnkkAw6PT8AiFFkX0kavwD03qN5Rxw\\u002fAMyYJF\\u002fWHL8Avt85bW0uP0ADswmkMjS\\u002fAL9q+9vhOT8AlSall4pCvwDulpdCRkI\\u002fgAarFAa2Sb+wmF6v9zxJP0BFnN0BqUa\\u002fAMC4NjdvFj8A+g3l3\\u002fxRPwCur0nLS1y\\u002fAAREczkfLj8AiZadvOtJPwBODDgP8Eu\\u002fAKkjwbY0Nb+AZ4NvOKYiP4C\\u002fQ4O7STU\\u002fgK8ELC+8Uz8AINHG1m76vsBJGhADhGG\\u002fAOBFCOwtAT8AHe0hlgRmPwA4MaNrBDq\\u002fgMdIDS0vU7+AbYThk2VXP4BVISVkUFC\\u002fQKfkkAw6PT8AaFFkX0kavwCQ3qN5Rxw\\u002fAPyYJF\\u002fWHL8Aqt85bW0uP0AVswmkMjS\\u002fgMlq+9vhOT+AJkG3dUMzPwAv2Jq41zy\\u002fAOFuzNGfPT+AM0NHcLhFv2Dzu4cmAkU\\u002fAPY14IEDRL8AiKq9xngbPwCpOlMub1A\\u002fAHr3yFdzXL8AulsEAFs7PwDssojqbkc\\u002fAM80IM0jVb8AN0ayAeY4v0Dy9NWfuUc\\u002fQOe7M6XpRz+A34OLHa1OPwBINzqQQDy\\u002fgAQLIPqNYb8AQJ3GB6YvPwCuDLVetmY\\u002fABhDTzdQNb+AFFjpg4NTv4Aao50vgVc\\u002fgB4562dmT7+ASbfel2w3PwAwRT4Mt+M+AMAQCbdU4D4AQIU9h4PQvgA+YwQIuyI\\u002fAF7r+pOvKb8AIEG3dUMzPwBW2Jq41zy\\u002fAPNuzNGfPT+AQUNHcLhFvyDLu4cmAkU\\u002fgOI14IEDRL8AsKq9xngbP4CqOlMub1A\\u002fAG33yFdzXL8A0lsEAFs7PwD5sojqbkc\\u002fgNE0IM0jVb8AN0ayAeY4v4D99NWfuUc\\u002foOK7M6XpRz8A34OLHa1OPwBINzqQQDy\\u002fAAMLIPqNYb8AUJ3GB6YvP4CuDLVetmY\\u002fABRDTzdQNb8AGFjpg4NTv4Abo50vgVc\\u002fgCA562dmT78ANLfel2w3PwDARj4Mt+M+ACAMCbdU4D4AgIQ9h4PQvgBcYwQIuyI\\u002fAG3r+pOvKb+AJkG3dUMzP4Cb\\u002fq2elSk\\u002fAD+yqmtXNb8AGUpLDs02PwChdxU\\u002f80G\\u002fACg7yyAUQT9AQThuR1NBvwCAfFfBFRU\\u002fAEGcoG3MTj+ApEpIqcJbvwBDK2ki2EM\\u002fABgz2RWfQz+A+x\\u002fRjiNcvwBuv+k9gDu\\u002fgHC57LUnVD+Ik6IuS8FQPwACx6i5B0U\\u002fAIf2ay+YSb\\u002fAY6Q0JGlhvwAI\\u002fZz1+Tg\\u002fAMKwn6qmZj8AJNGYyyIzv4AXB2OY7VK\\u002fgFXWFubXVz8AkoFKtEpOv4D110xuEzE\\u002fgDcZ5gdCID8AyDpl8dIYvwD0xkIPchs\\u002fAFiUkFwyCz8ADkGLOkYXv4CK\\u002fq2elSk\\u002fAGmyqmtXNb8ALUpLDs02PwCvdxU\\u002f80G\\u002fIPw6yyAUQT+ANDhuR1NBvwCQfFfBFRU\\u002fADacoG3MTj+AlkpIqcJbvwBZK2ki2EM\\u002fACoz2RWfQz+A+R\\u002fRjiNcvwBav+k9gDu\\u002fgHi57LUnVD+4kaIuS8FQPwADx6i5B0U\\u002fAIn2ay+YSb8AZqQ0JGlhvwAO\\u002fZz1+Tg\\u002fgL+wn6qmZj8AENGYyyIzv4AQB2OY7VK\\u002fAFPWFubXVz8AmIFKtEpOvwDm10xuEzE\\u002fgB4Z5gdCID8ANDtl8dIYvwCcxkIPchs\\u002fAMiUkFwyCz8AQkGLOkYXv4Cb\\u002fq2elSk\\u002fgJCk4mSLGT8AWLuDRrUsvwBHMPKwAzA\\u002fAJxe2fORPL+AW66VRM46P4BIcz4O5Ty\\u002fANAyRp749T4AL141fqRNP4A9Xq5Gp1q\\u002fAIEA8OKzST8AwKK0Lis\\u002fPwD3xJCIPWG\\u002fAHqDhrmKPb+A5R6\\u002f3qJaP6CRo\\u002f47RlM\\u002fgCvkk+hoNT+A+jYstg9Rv4Bhqir11WC\\u002fAEqtpIySPT9AEV4I6bFlPwCw61qsJjS\\u002fAAAjwFeGUb8At8e+tYFYPwDrYn0Ahk2\\u002fAM7BTr73JD\\u002fgojl9vxsvPwCizvod8ym\\u002fAOwDj2okLD8A6N8CcpUGvwAQiZsnC+8+gHqk4mSLGT8AgLuDRrUsvwBUMPKwAzA\\u002fAJhe2fORPL8AL66VRM46P4ADcz4O5Ty\\u002fAOAzRp749T4AMV41fqRNP4A4Xq5Gp1q\\u002fAH4A8OKzST8A2KK0Lis\\u002fPwD4xJCIPWG\\u002fAHSDhrmKPb\\u002fA6x6\\u002f3qJaP+CPo\\u002f47RlM\\u002fAC3kk+hoNT9A+zYstg9RvwBhqir11WC\\u002fAEytpIySPT8AE14I6bFlPwCU61qsJjS\\u002fAP0iwFeGUb+Asce+tYFYPwDyYn0Ahk2\\u002fANzBTr73JD8ArDl9vxsvPwDIzvod8ym\\u002fAPoDj2okLD8AsN8CcpUGvwAAh5snC+8+gJCk4mSLGT\\u002fdS1PfNrKpPADAferjjB6\\u002fAFJRb9SjIj8AD99oz081vwBxJgl9zTM\\u002fQDiQgQOKNr8AwNhIenwQvwAN1LP4Qk0\\u002fgA+Gd2B8Wb8AVo0zpuNOPwCqH7BYYjg\\u002fgDWKT23ZY78AqDJtZp4+v4CLlpY4F18\\u002fQKW+APFWUz+JLcCXtsKmvMCsvgDxVlO\\u002fgJOWljgXX78AmjJtZp4+P4A0ik9t2WM\\u002fAMwfsFhiOL8AYY0zpuNOv4AJhndgfFk\\u002fAA7Us\\u002fhCTb8AnNhIenwQPwBQkIEDijY\\u002fgE4mCX3NM78AG99oz081PwAuUW\\u002fUoyK\\u002fAKR+6uOMHj9UFysXPOWPPABOfurjjB6\\u002fAExRb9SjIj8AIN9oz081v4BIJgl9zTM\\u002fIBmQgQOKNr8AQNhIenwQvwAV1LP4Qk0\\u002fgAKGd2B8Wb8AV40zpuNOPwC+H7BYYjg\\u002fADKKT23ZY78ApDJtZp4+v4CQlpY4F18\\u002fQKK+APFWUz\\u002fuHwpD3n6gvECqvgDxVlO\\u002fAJWWljgXX78AmjJtZp4+P0Ayik9t2WM\\u002fAM4fsFhiOL8AXI0zpuNOvwAFhndgfFk\\u002fAATUs\\u002fhCTb8AnNhIenwQP8BLkIEDijY\\u002fAF8mCX3NM78AE99oz081PwAiUW\\u002fUoyK\\u002fAEx+6uOMHj\\u002fdS1PfNrKpPAAypOJkixm\\u002fAACCmycL774AkOACcpUGPwD6A49qJCy\\u002fAOrO+h3zKT\\u002fgsDl9vxsvvwCYwU6+9yS\\u002fAPRifQCGTT8Au8e+tYFYvwD+IsBXhlE\\u002fAKTrWqwmND+AEl4I6bFlvwBsraSMkj2\\u002fwF6qKvXVYD9A9DYstg9RP4BE5JPoaDW\\u002fQJqj\\u002fjtGU78A7x6\\u002f3qJavwBwg4a5ij0\\u002fwPPEkIg9YT8A3qK0Lis\\u002fvwCFAPDis0m\\u002fgDperkanWj8AKF41fqRNvwCwM0ae+PW+AEJzPg7lPD+AKq6VRM46vwCUXtnzkTw\\u002fAFcw8rADML8A1ruDRrUsPwBHpOJkixm\\u002fAJCGmycL774AAOICcpUGPwAmBI9qJCy\\u002fAL7O+h3zKT9AOTl9vxsvvwCSwU6+9yS\\u002fAPtifQCGTT+Asce+tYFYv4D9IsBXhlE\\u002fAMjrWqwmND\\u002fAEl4I6bFlvwBcraSMkj2\\u002fQGCqKvXVYD\\u002fA8zYstg9RP4BF5JPoaDW\\u002fwJmj\\u002fjtGU79A7x6\\u002f3qJavwBkg4a5ij0\\u002fgPTEkIg9YT8A2KK0Lis\\u002fvwCHAPDis0m\\u002fADterkanWj8ALl41fqRNvwAgM0ae+PW+AD9zPg7lPD8AQ66VRM46vwCRXtnzkTw\\u002fAEUw8rADML8AzLuDRrUsPwAypOJkixm\\u002fAGr+rZ6VKb8A5EGLOkYXPwAAlZBcMgu\\u002fAIjGQg9yG78AoDtl8dIYPwBEGeYHQiC\\u002fAPLXTG4TMb8Ak4FKtEpOP4BZ1hbm11e\\u002fABMHY5jtUj8ABNGYyyIzPwDAsJ+qpma\\u002fAA79nPX5OL9AY6Q0JGlhPwB59msvmEk\\u002fAA7HqLkHRb\\u002fQnqIuS8FQv4B5uey1J1S\\u002fAFS\\u002f6T2AOz+A8h\\u002fRjiNcPwAyM9kVn0O\\u002fAE4raSLYQ7+AnUpIqcJbPwA+nKBtzE6\\u002fAHR8V8EVFb9AQThuR1NBPyAOO8sgFEG\\u002fAKR3FT\\u002fzQT8ADUpLDs02vwBvsqprVzU\\u002fAHz+rZ6VKb8AhEGLOkYXPwB4lJBcMgu\\u002fALTHQg9yG78ASDtl8dIYP4DOGOYHQiC\\u002fgOPXTG4TMb8AjIFKtEpOP4BQ1hbm11e\\u002fABYHY5jtUj8AHNGYyyIzPwC\\u002fsJ+qpma\\u002fAAT9nPX5OL8AZKQ0JGlhPwB19msvmEk\\u002fAA7HqLkHRb8om6IuS8FQv8B9uey1J1S\\u002fAEq\\u002f6T2AOz+A9B\\u002fRjiNcPwAuM9kVn0O\\u002fAEwraSLYQ78AnEpIqcJbPwA5nKBtzE6\\u002fALB8V8EVFb8AQzhuR1NBPyAlO8sgFEG\\u002fAKp3FT\\u002fzQT8AGEpLDs02vwBmsqprVzU\\u002fAGr+rZ6VKb8AD0G3dUMzvwDP6\\u002fqTryk\\u002fAEBjBAi7Ir8AQIg9h4PQPgAgCQm3VOC+ANBEPgy3476APrfel2w3vwAVOetnZk8\\u002fgCWjnS+BV78AC1jpg4NTPwAQQ083UDU\\u002fALEMtV62Zr8AcJ3GB6Yvv0ACCyD6jWE\\u002fAC43OpBAPD8A6oOLHa1OvwD7uzOl6Ue\\u002fwP\\u002f01Z+5R78AK0ayAeY4P4DHNCDNI1U\\u002fAPeyiOpuR78AzFsEAFs7vwBx98hXc1w\\u002fgKU6Uy5vUL8A5Kq9xngbv0DxNeCBA0Q\\u002fwNW7hyYCRb8AMkNHcLhFPwDabszRnz2\\u002fAGbYmrjXPD\\u002fAFUG3dUMzvwCN6\\u002fqTryk\\u002fADZjBAi7Ir8AgIk9h4PQPgBADgm3VOC+ANBCPgy3476AM7fel2w3vwAUOetnZk8\\u002fgB6jnS+BV7+AE1jpg4NTPwAQQ083UDU\\u002fAK8MtV62Zr8AOJ3GB6YvvwACCyD6jWE\\u002fACo3OpBAPD+A7IOLHa1Ov0DyuzOl6Ue\\u002fQAb11Z+5R78AJEayAeY4P4DLNCDNI1U\\u002fAPOyiOpuR78AylsEAFs7v4Bt98hXc1w\\u002fAKU6Uy5vUL8AoKq9xngbvwDuNeCBA0Q\\u002f4Oe7hyYCRb8ANENHcLhFPwDVbszRnz2\\u002fAHHYmrjXPD8AD0G3dUMzvwCwavvb4Tm\\u002fADizCaQyND8A8N85bW0uvwA0mSRf1hw\\u002fADzeo3lHHL8AmlFkX0kaP0Cu5JAMOj2\\u002fgE4hJWRQUD+Ac4Thk2VXv4DESA0tL1M\\u002fACQxo2sEOj8AH+0hlgRmvwDARQjsLQG\\u002fAEgaEAOEYT8AINDG1m76PoC2BCwvvFO\\u002fAPlDg7tJNb9AX4NvOKYivwCPI8G2NDU\\u002fADcMOA\\u002fwSz8Ah5advOtJvwDsQ3M5Hy6\\u002fALSvSctLXD+A9Q3l3\\u002fxRvwBYuDY3bxa\\u002fAG2c3QGpRj9ok16v9zxJv0ANqxQGtkk\\u002fgPCWl0JGQr+Akiall4pCPwC6avvb4Tm\\u002fwBWzCaQyND8Aut85bW0uvwAomSRf1hw\\u002fAHDfo3lHHL8AtFFkX0kaPwCy5JAMOj2\\u002fAFEhJWRQUD8Aa4Thk2VXvwDESA0tL1M\\u002fAEAxo2sEOj8AHu0hlgRmvwAgRQjsLQG\\u002fQEgaEAOEYT8AYNDG1m76PoC2BCwvvFO\\u002fgNxDg7tJNb+AgoNvOKYivwCEI8G2NDU\\u002fAEMMOA\\u002fwSz8Ah5advOtJvwD0Q3M5Hy6\\u002fgLGvSctLXD+A\\u002fA3l3\\u002fxRvwCMuDY3bxa\\u002fwGOc3QGpRj+An16v9zxJv8AUqxQGtkk\\u002fAPCWl0JGQr+Amyall4pCPwCwavvb4Tm\\u002fgMZ4iEJjQL9AynsaFQU8PwAOy\\u002f5YLjW\\u002fAFQVE8jiKz8A8CKJqZ8qvwC2JKuzIyo\\u002fUGGpNhUmQb\\u002fAKGhZodlQPwA9wZVpWVe\\u002fAJ8IiMXqUT8AjnVHyhhAP4ApJdEd1WS\\u002fAJCoU\\u002fRxLT+AZ0fGVG5hPwB4zELfrDq\\u002fABbT6uKsV78AvBPEmwAkP4ABBhCOUD4\\u002fACPEB3YRLj8As+wr9nw8PwB3pAJpt0m\\u002fALDjo1XhCb+Agx29FttaPwBIF5KnE1S\\u002fANDDw+QZ876AkC59kFtJP\\u002fjW4AK1xE2\\u002fgMzHj1wUTj+Acs9di+dFv4CUo+sLHkc\\u002fgMp4iEJjQL8AqHsaFQU8PwD+yv5YLjW\\u002fAOQUE8jiKz8AJCOJqZ8qvwDvJKuzIyo\\u002fGGapNhUmQb8AJ2hZodlQP4A5wZVpWVe\\u002fAKgIiMXqUT8AmHVHyhhAPwAmJdEd1WS\\u002fAKioU\\u002fRxLT8AZkfGVG5hPwCGzELfrDq\\u002fABbT6uKsV78A6hPEmwAkP0DvBRCOUD4\\u002fAPLDB3YRLj8Axuwr9nw8PwCEpAJpt0m\\u002fAMDjo1XhCb8AgB29FttaP4BLF5KnE1S\\u002fAHDBw+QZ876AiC59kFtJPxDu4AK1xE2\\u002fANPHj1wUTj+Abs9di+dFvwCRo+sLHkc\\u002fgMZ4iEJjQL+AlSeVXRJEv8idACazQ0I\\u002fAGp7eU2LO78AM05NcYE0PwBA75lOGjO\\u002fACNrSbakMj+QGbb33z1Dv8Db94PRJ1E\\u002fgImq\\u002fpQlV78AOBEca5VPPwA4h44DZkM\\u002fAHlPjKx8Y78AdvMtdDBAPwAA++a+T2E\\u002fAOxeXFCgS7+A+dlZQSNbvwAP58TAh0U\\u002fwGIVInbQUD8AKM32mTIRPwC0Ae5OkxE\\u002fALWEOwUtRb8AcBdIpQwgPwDXyTbwv1c\\u002fAG61vjabVr8AIMIQyWsZP4DKG6t2Ckw\\u002fUMLaM4hGUb9AxY358YFRPwBK3VS06Em\\u002fAOP2JecyTD\\u002fAmCeVXRJEv8iRACazQ0I\\u002fAFV7eU2LO78ABE5NcYE0PwBb75lOGjO\\u002fAD5rSbakMj+wDbb33z1DvwDg94PRJ1E\\u002fAIKq\\u002fpQlV78ARBEca5VPPwA6h44DZkM\\u002fAHlPjKx8Y78AfPMtdDBAPwD++ua+T2E\\u002fAOxeXFCgS78A\\u002fNlZQSNbvwAb58TAh0U\\u002fgF4VInbQUD+Az8z2mTIRPwBcAu5OkxE\\u002fALaEOwUtRb8ATBdIpQwgP4DSyTbwv1c\\u002fgHC1vjabVr8AKMIQyWsZP4C+G6t2Ckw\\u002fYMTaM4hGUb9gyI358YFRP4BK3VS06Em\\u002fAOb2JecyTD+AlSeVXRJEv0Bg0PsnKEi\\u002f1FBtKUYBRz\\u002fA56wTKktBvwC99lm2Gzs\\u002fAKSkL5RpOL8AuG0sqDw3P8C7abKBzUS\\u002fwGt7BEQWUT8Ao6mvBJFWvwAuPnB\\u002f\\u002fUk\\u002fAFzs\\u002fiaXRj8AemOaiEtivwCi6LyZ+Uc\\u002fgPBLGncXYT8A8s48hrhUvwAqBocOCV6\\u002fAC6YKU7DUj8A1udliz5YPwDuynl2Giu\\u002fABd+ejgjLb8AQYHzxBM1vwDO5RgvzDI\\u002fgIedfY+6Uj8AvTfHQEVZvwA2kzBWrDA\\u002fAAMDGmpmTj8QSsQCNL1Tv6D87HCrW1Q\\u002fAHd+6VeOTr+AJY6G7OZQP4Bk0PsnKEi\\u002fiENtKUYBRz9A3awTKktBvwC49lm2Gzs\\u002fAK+kL5RpOL8Aw20sqDw3P0C4abKBzUS\\u002fIG57BEQWUT+AnqmvBJFWvwAzPnB\\u002f\\u002fUk\\u002fAF7s\\u002fiaXRj+Ad2OaiEtivwCq6LyZ+Uc\\u002fAO5LGncXYT8A8c48hrhUv4AqBocOCV6\\u002fgDSYKU7DUj8A0udliz5YPwASy3l2Giu\\u002fAMh9ejgjLb8ATYHzxBM1vwCs5RgvzDI\\u002fgIadfY+6Uj+AvDfHQEVZvwAqkzBWrDA\\u002fAP8CGmpmTj+QT8QCNL1Tv2D+7HCrW1Q\\u002fAHV+6VeOTr9AK46G7OZQP0Bg0PsnKEi\\u002fgG1yT+XiTL\\u002fghGuKPl9MPwDJ\\u002fPLRUEW\\u002fAFxfnzsTQT8A0kPIQF89vwCugKiDADs\\u002fAFhfRay7Rb8AkrFsEIpQP4CbiCg6a1W\\u002fALExIZ6TQz8AxLx2wqdJP4BKT+8xeWG\\u002fAHg6ijdrTT8Aw3Me+LVgPwADd022EFu\\u002fgMz81hsTYL8AocO9kfRZP4BuEFMp0Vw\\u002fAHjh0qqIRL9AWbThtvw6vwCBP0Hfiy4\\u002fAMgLffq2PD8A5bRlkGxHPwDgzYUWb1u\\u002fAIXMl2IIPT8AfOwCHNdPP4BBboe2K1a\\u002fkJajlZ+rVz9AXyCrNQ1Sv8CxUKg5+lM\\u002fQHJyT+XiTL\\u002fwcmuKPl9MPwC2\\u002fPLRUEW\\u002fgFBfnzsTQT8A\\u002fkPIQF89vwDDgKiDADs\\u002fAFdfRay7Rb\\u002fAjrFsEIpQP4CaiCg6a1W\\u002fAL4xIZ6TQz8A0rx2wqdJPwBLT+8xeWG\\u002fAII6ijdrTT8Aw3Me+LVgPwD+dk22EFu\\u002fAMz81hsTYL8AqcO9kfRZP4BqEFMp0Vw\\u002fAIfh0qqIRL\\u002fAJ7Thtvw6vwBQP0Hfiy4\\u002fALsLffq2PD8A37RlkGxHPwDgzYUWb1u\\u002fAIXMl2IIPT8AduwCHNdPP0BBboe2K1a\\u002fAJujlZ+rVz9AZiCrNQ1SvwCwUKg5+lM\\u002fgG1yT+XiTL\\u002fAGDh4M0ZRvxBCjEoPPVE\\u002fgDfC0LgNSr8AfcoIZBZFP4C8MqteKUG\\u002fACPw3FJQPj8A+ZQvWfdFv0DkyBrm8U4\\u002fQKcnLB6XU78AIv9szMY5PwB8O3WB10w\\u002fAJDo1VYXYb8AYm5KGKZPP4DFxIUELmA\\u002fgMkNRzc2YL8A4S+jipBgvwAlX2TQCGA\\u002fgJ1NdfrJXT8Anp\\u002fH7\\u002fJTvwB7yUJRA0C\\u002f+HVwONbgUD+ABOFBR\\u002fBBPwBaY51kRSY\\u002fABSOfnwEXL+At5GM5B5FPwBEnHtzgU8\\u002fYElRhDpfWL8ojrL0\\u002fXNbPyBhxDZFWFW\\u002fwOBnnCheVz9AHDh4M0ZRvyA7jEoPPVE\\u002fQCjC0LgNSr8AdcoIZBZFPwDSMqteKUG\\u002fAD\\u002fw3FJQPj\\u002fABZUvWfdFvwDkyBrm8U4\\u002fgKInLB6XU78ARP9szMY5PwCDO3WB10w\\u002fAJLo1VYXYb8Aam5KGKZPP4DGxIUELmA\\u002fgMoNRzc2YL8A4C+jipBgv4ApX2TQCGA\\u002fgJdNdfrJXT8ApZ\\u002fH7\\u002fJTv4BfyUJRA0C\\u002fcnBwONbgUD+A+OBBR\\u002fBBPwBWY51kRSY\\u002fwBiOfnwEXL8AtZGM5B5FP4A1nHtzgU8\\u002fgE9RhDpfWL8wlLL0\\u002fXNbPyBfxDZFWFW\\u002fwOBnnCheVz\\u002fAGDh4M0ZRv+DypYV1r1S\\u002fUD\\u002fw43e1VD+ACd7IdcpPvwCwY\\u002f7C4kk\\u002fgDZaGSvuQ78AOXaeQ+JAPwCinoREiUW\\u002fiA004aHdSz+A5TvBSxRRvwBgYGd5ayk\\u002fALQ1Bbo9UD+AbyOXZA9hvwBoStpPXE4\\u002fAAaNYiczXz8AWGenSydiv4CQWJFtTWC\\u002fAHfnOliMYj8AsGzWkPtaP4A\\u002fwPbfGmC\\u002fAJGgFp1OPb8wLJmpd5VgP9Cdaj0s4kE\\u002fAIzhMZY3P7\\u002fArkyLYm1Zv4CTFBiMJks\\u002fAFSN9WhgTD8gZSOquflZv0TIbuUcjV8\\u002fAA7\\u002fAP4aWb9AO7mrtSpbP0DxpYV1r1S\\u002fUDvw43e1VD8A\\u002fd3IdcpPv4CsY\\u002f7C4kk\\u002fAEZaGSvuQ78AOXaeQ+JAPwCenoREiUW\\u002f6BU04aHdSz8A6jvBSxRRvwCMYGd5ayk\\u002fgLA1Bbo9UD8AbiOXZA9hvwBoStpPXE4\\u002fAAiNYiczXz+AVWenSydiv4CQWJFtTWC\\u002fgHrnOliMYj8ArWzWkPtaP0BDwPbfGmC\\u002fAGKgFp1OPb+wKZmpd5VgP2CXaj0s4kE\\u002fAJnhMZY3P7+AtkyLYm1Zv4CYFBiMJks\\u002fgECN9WhgTD\\u002fAbCOquflZv8TKbuUcjV8\\u002fQBL\\u002fAP4aWb+AOrmrtSpbP+DypYV1r1S\\u002fYBWkzW2vWL8wG2KA56pYPyDOSc4ZaVO\\u002fgN3+DyO9Tz+AKxu0xGtHv4DdH6AREkM\\u002fgDLam+2lRL\\u002fwzJSAxCJIP4BYmrhvCEy\\u002fAAAhTkZr2z4A\\u002f8DOCF5SP4DdV66hKmG\\u002fALx062TMST8AM1yl+UNePwC1C6MgJmO\\u002fAI54sTdkXr+ApBqvoJhkPwCmfqJX81Q\\u002fgI\\u002fqhob3Zr8AUlFla6oyv0D+4n4IWGk\\u002fADusw800NT+gwCZe7IJTv0BHQqdEmlG\\u002fABrcyDHVTj8Af81w6HFFP6DJtw8IV1q\\u002frpamJ9G\\u002fYT8AaZWjFBhdv+AZhUkifV8\\u002fYBekzW2vWL8gFmKA56pYPwDJSc4ZaVO\\u002fgNL+DyO9Tz+ARBu0xGtHv4DwH6AREkM\\u002fAC3am+2lRL8g1ZSAxCJIPwBimrhvCEy\\u002fAAAmTkZr2z4AAcHOCF5SP4DcV66hKmG\\u002fAMJ062TMST8AM1yl+UNePwC2C6MgJmO\\u002fAIx4sTdkXr+AqBqvoJhkPwCifqJX81Q\\u002fAJLqhob3Zr8AFlFla6oyv0D64n4IWGk\\u002fgBysw800NT8IvyZe7IJTv0BKQqdEmlG\\u002fABncyDHVTj8Adc1w6HFFP8DTtw8IV1q\\u002fmZimJ9G\\u002fYT8gbpWjFBhdv+AZhUkifV8\\u002fYBWkzW2vWL\\u002fgegtcfB1dvwDPk151OV0\\u002f8HLjG2enV79AQdy+qG5TP4B2muXzJky\\u002fAETuJ7EnRj8AzP\\u002f4lLhDvyBIE0aqQUQ\\u002fgPt3bxRSRb8A8No70c4lvwCn+uP9rVQ\\u002fgOfsxQkiYb8AxNHr451CPwAC+vKn4V0\\u002fgM84\\u002fuEcY78ANzsllrRavwAQLDvBQGY\\u002fAOLbjb\\u002fVST+AmH1MvZhtvwAAB4dwVcW+YJY3RxqYcD8AsIqAHTMuv6DLYf3uKF+\\u002fQCxDLllKI78AraKXlAZNP4BjXMb9AjQ\\u002fgH1Xl51qWL9k6ebRBydjP8hAGUEeZmC\\u002fMA4gvccrYj8gegtcfB1dv4DGk151OV0\\u002fEGvjG2enV79AQdy+qG5TP4CGmuXzJky\\u002fAELuJ7EnRj8Axf\\u002f4lLhDv0BOE0aqQUQ\\u002fAPt3bxRSRb8A7No70c4lv4Ci+uP9rVQ\\u002fgObsxQkiYb8AxtHr451CPwD++fKn4V0\\u002fgM84\\u002fuEcY78AMzsllrRavwATLDvBQGY\\u002fANTbjb\\u002fVST+Am31MvZhtvwAA6YZwVcW+YJQ3RxqYcD8A+IqAHTMuv6DLYf3uKF+\\u002fADxDLllKI79Aq6KXlAZNPwBWXMb9AjQ\\u002fAIVXl51qWL9K6+bRBydjP6BAGUEeZmC\\u002foA4gvccrYj\\u002fgegtcfB1dv+BF5o+jz2C\\u002fGBt6ftk9YT\\u002fAEZVHP49cvwCwD4Lwtlc\\u002fAOK6RaxPUb8AtM7grZBKPwASjf+fYEO\\u002fQOaT6cTmQD8AAMB1y3Y9vwB7E+6WJjW\\u002fgIjOA63RVj+A\\u002fcnJWbFgvwBwSav8WjM\\u002fALxZtP5BXj+AyVsb8CNivwBugR22RVa\\u002fgMXqjoaFZz8AlNPXbPMxP4CTFLQqc3G\\u002fAMS63D5pOT\\u002fgPPZrcElzPwARpC7bwFK\\u002fgKx9LHpJZL\\u002fgcqDakRNVPxQDZZYou0A\\u002fgH8Ol1QhJ7+w91h+dZlSvzBIgm9iFGM\\u002fkOqWOBOiYb\\u002fgOkbW17BkP\\u002fBF5o+jz2C\\u002f+Bh6ftk9YT8QCpVHP49cv0CtD4Lwtlc\\u002fgOe6RaxPUb8AwM7grZBKPwASjf+fYEO\\u002fANyT6cTmQD8A+791y3Y9vwBfE+6WJjW\\u002fgIfOA63RVj9A+8nJWbFgvwBwSav8WjM\\u002fALZZtP5BXj+AyFsb8CNivwBtgR22RVa\\u002fgMjqjoaFZz8AgNPXbPMxPwCVFLQqc3G\\u002fAPy63D5pOT+gOvZrcElzP4AXpC7bwFK\\u002fwKx9LHpJZL9AcqDakRNVPzAHZZYou0A\\u002fgJwOl1QhJ7+gAFl+dZlSv9hKgm9iFGM\\u002fSOyWOBOiYb8APEbW17BkP+BF5o+jz2C\\u002fUE3f5x7RYr+ALNe\\u002fOzJkPwC7mqMG72C\\u002fAGtxQITEXD8Am7wRIJJVv4B2SvMsVFA\\u002fgBG9FrldRL+A5ctoYak9P4AWPEO\\u002fIzK\\u002fABQVhl\\u002fcPb+AvkWGfz9YPwDD5VjeT1+\\u002fAACWCuFZ1L4AVpGFXGtfPwBRtab8fWC\\u002fAHTMFCA8Ur+AlAyeYVFoPwBAc1QdFya\\u002fwCLj\\u002facEc78ANHaJh\\u002fdLPwCQU8rBVnQ\\u002fgOyybHnKYr+AIs0BE4dmv0DFePjGFWk\\u002fALiNMoKBN7+gqasemLJHv2Azi8wPrDq\\u002fokTjuhUBYD9EXToNZGFhv0Dfgmn5w2Y\\u002f4E7f5x7RYr9wKte\\u002fOzJkPzC3mqMG72C\\u002fQGlxQITEXD8AorwRIJJVv4B6SvMsVFA\\u002fgAS9FrldRL8A7stoYak9PwAMPEO\\u002fIzK\\u002fAAoVhl\\u002fcPb+Au0WGfz9YP4DB5VjeT1+\\u002fAACVCuFZ1L4AUZGFXGtfPwBStab8fWC\\u002fAHLMFCA8Ur+AlgyeYVFoPwBYc1QdFya\\u002fACTj\\u002facEc78AUnaJh\\u002fdLP0COU8rBVnQ\\u002fgPGybHnKYr8AH80BE4dmv4DDePjGFWk\\u002fALCNMoKBN7\\u002fAsqsemLJHv4A4i8wPrDq\\u002fekXjuhUBYD94XjoNZGFhv+Ddgmn5w2Y\\u002fUE3f5x7RYr84ffrh8Bpkv7H5BpW5PWc\\u002fQEoV4J2RY79gxt8T\\u002fUhhPwChO2gB1Vq\\u002fADHVDEBWVD+AQT53j2tHvwARE31vhz0\\u002foJ4kdHRzJL8A+ggxRQpCvwBzOtN5Zlg\\u002fgMHh2orlW78A\\u002fK3G6WQ0v4DCzH\\u002fImGA\\u002fAFfdZWcAXb8AOPugYbRPvwAg0jADhGg\\u002fAITPto6JPr8ALV1qEVtzvwCzpgQU7FU\\u002fAJVA6YXfcz+ARfQnLipsv4D9a\\u002fSfkWW\\u002foFB\\u002fgjdkcz+AvixWJJpcvwAA41TBwVK\\u002foNzvYOcaSz9aCrseqzBOP2p80+yuDly\\u002fuOhCfyE1Zz8ofPrh8Bpkvwb3BpW5PWc\\u002f4EUV4J2RY7+Axd8T\\u002fUhhP4CpO2gB1Vq\\u002fgC\\u002fVDEBWVD8ASD53j2tHvwAHE31vhz0\\u002fwMwkdHRzJL+A9ggxRQpCv4ByOtN5Zlg\\u002fALzh2orlW78A9K3G6WQ0vwDCzH\\u002fImGA\\u002fAFndZWcAXb8ALvugYbRPv4Ai0jADhGg\\u002fAITPto6JPr+ALV1qEVtzvwC6pgQU7FU\\u002fQJNA6YXfcz+ASPQnLipsv4D7a\\u002fSfkWW\\u002fgFB\\u002fgjdkcz8AvyxWJJpcv0AD41TBwVK\\u002fYMrvYOcaSz\\u002f\\u002fEbseqzBOP5J80+yuDly\\u002fwOdCfyE1Zz84ffrh8Bpkv9AahL8KxWO\\u002f+E5kmhq8aT+gZow4j+Jlv2BzTuvydmQ\\u002fgFMYa5ltYL+A6iXi9ltZPwBiUL9PFE2\\u002fALyR4wFBQT8AdMU70BQcvwDTiRtWO0O\\u002fAM0P6VTdVj8A2EN2wjpXvwD0M9xY90O\\u002fAL3jh5meYT8AfvcLQeBYvwBSfks1FlC\\u002fgPleuiEHaD8ARHy1YwhDvwCTOtmRn3K\\u002fAI3K+tX3XD8ASJnRTGVyP8AEjg5a0nG\\u002fgPAumJbmYb8A3r88JP93P0DF\\u002fboNSmu\\u002fgLNtgBTlUr+gbMSJ+mVkP7BBLW5YL1K\\u002fQDEiQePUQr+Wn3cmjLNjP8wchL8KxWO\\u002fIE1kmhq8aT8AZIw4j+JlvyBzTuvydmQ\\u002fwFYYa5ltYL+A5CXi9ltZPwBhUL9PFE2\\u002fgL2R4wFBQT8AhMU70BQcvwDHiRtWO0O\\u002fgMsP6VTdVj8A1kN2wjpXvwD0M9xY90O\\u002fgL3jh5meYT8AfvcLQeBYvwBRfks1FlC\\u002fgPxeuiEHaD8ASny1YwhDv4CUOtmRn3K\\u002fAJnK+tX3XD8AR5nRTGVyP0AFjg5a0nG\\u002fgPEumJbmYb\\u002fA3b88JP93PwDE\\u002fboNSmu\\u002fAL1tgBTlUr+gbMSJ+mVkP8g+LW5YL1K\\u002f3DUiQePUQr8YoHcmjLNjP9AahL8KxWO\\u002fQCgKrdKyX78wiOkYqkpqP+DXJrgUbWe\\u002fQOJyeI2mZz8An8vHm5tjvwD3vvfxXl8\\u002fAKeYQzrEUr+AYpkpMJxGP4Cawfvk0CK\\u002fQBfa7QjVQb8Af0SxsIdTP4D8ay+CllG\\u002fAJAHV4koTb+AAerdGotiPwBc8uAN0FS\\u002fAPeniew+U7+AZTC6MuFmPwAec9cKxUC\\u002fgMuaEmM4cb8AB1O+7vRgP4CiVrzYg3A\\u002fAHYfgw8edL8AcKT6RJZZv8DAv84d7Xk\\u002fIKMJL5sfc78AbMZO2UxFvzA363E3S3A\\u002fmHlohAufcL8AFWfrcYlcPyB1R2+LSFA\\u002f4CUKrdKyX79ghekYqkpqPyDVJrgUbWe\\u002fYOJyeI2mZz9Ao8vHm5tjv4D5vvfxXl8\\u002fgKaYQzrEUr8AXZkpMJxGPwCowfvk0CK\\u002fwBLa7QjVQb+AfUSxsIdTP4D6ay+CllG\\u002fAI4HV4koTb8A\\u002f+ndGotiPwBb8uAN0FS\\u002fAPeniew+U7+AZzC6MuFmPwAmc9cKxUC\\u002fwMuaEmM4cb8AClO+7vRgP0ChVrzYg3A\\u002fQHcfgw8edL8Ab6T6RJZZv8DAv84d7Xk\\u002fYKIJL5sfc78Ac8ZO2UxFv\\u002fA263E3S3A\\u002fqHhohAufcL+gEGfrcYlcP0B1R2+LSFA\\u002fQCgKrdKyX78AWB2YxZhBv4D5h5CDGmY\\u002fAKOH8V1BZ7+AR0qTpjxqP8C5Lknmqma\\u002fAAOmUPseYz+AD4CH30dYv4AaoxNs7k4\\u002fAHzQB23FMb8AtqztcdE6v4AATG6bRU0\\u002fAMNnDli6Rr8A5FJsmLpSvwA5zTndFmM\\u002fAF+Lv0ugUL8AZ+q0zdhYv4Awv4eIO2U\\u002fAOTlS1CmMr8ARkqJREtvv4Cy\\u002fK697WE\\u002fgNo1QE99bT\\u002fAL7KQ5fB0vwAqPZkwOk6\\u002fwCaF1d7geT\\u002fAhb4+isx2vwBAzGsq3x8\\u002fAIHGjAT3cj\\u002fwkTYCgnR7v8j5h9V\\u002frHQ\\u002fIOsBcUwWYL+AUx2YxZhBv+D4h5CDGmY\\u002fgKCH8V1BZ7+ASUqTpjxqP0C6Lknmqma\\u002fQAOmUPseYz+ADoCH30dYvwAcoxNs7k4\\u002fgI\\u002fQB23FMb8AoaztcdE6v4D3S26bRU0\\u002fAL9nDli6Rr+A4lJsmLpSvwA3zTndFmM\\u002fAGGLv0ugUL8AZ+q0zdhYv4Ayv4eIO2U\\u002fANjlS1CmMr8ASEqJREtvvwC1\\u002fK697WE\\u002fANk1QE99bT\\u002fAMLKQ5fB0vwAqPZkwOk6\\u002fgCeF1d7geT9ghb4+isx2vwAYzGsq3x8\\u002fwIHGjAT3cj9gkTYCgnR7v3j5h9V\\u002frHQ\\u002fwOsBcUwWYL8AWB2YxZhBv8C9HnhxsmI\\u002fgMa63XBUUD9AX0ijWiVjvwD17UCj82o\\u002fQHVpRQEyab\\u002fAH\\u002fIYsdRmP4DDqFoQ0V6\\u002fwMayd0AdVT8AAPv6Mv8\\u002fv4Bm+LS7uie\\u002fAKb0S4NsQT8AHFY+5ws0vwCVA\\u002fYtK1a\\u002fAI9EmmL0Yj8AVG02gcBHvwAMkuWqxl+\\u002fgGfO+jBWYz8A0B2rY14QPwAeLBChsmy\\u002fgFjFB8o5YT8AhukhN9xqPwBn7UZYmHS\\u002fAJRktI2JOb\\u002fAV98ZiMZ4P4CElTDn2Xi\\u002fAF8c7aQfTT\\u002fgma7UvolyP3QJcYVxTYC\\u002fgDX4x+LWfz9wQKw\\u002f6\\u002fd3vwC9HnhxsmI\\u002fAMO63XBUUD9AXkijWiVjv4D17UCj82o\\u002fQHZpRQEyab9AH\\u002fIYsdRmP4DDqFoQ0V6\\u002fgMKyd0AdVT+AIvv6Mv8\\u002fv4A\\u002f+LS7uie\\u002fAKb0S4NsQT8AHlY+5ws0v4CSA\\u002fYtK1a\\u002fAIxEmmL0Yj8AUm02gcBHvwAMkuWqxl+\\u002fgGjO+jBWYz8A0B2rY14QPwAfLBChsmy\\u002fgFvFB8o5YT+AhOkhN9xqP0Bo7UZYmHS\\u002fAJxktI2JOb8AWd8ZiMZ4P8CElTDn2Xi\\u002fAFkc7aQfTT8Am67UvolyP4AJcYVxTYC\\u002f7DT4x+LWfz8QQKw\\u002f6\\u002fd3v8C9HnhxsmI\\u002fYFt2oFJXdz+AWzK2Vs5ivwAD039csEq\\u002fgErXw84rZz\\u002fA22bkW2Nqv4Dx0DTbeWo\\u002fAI4zEFoIY78AybaackxcP4Dkjdhk0Um\\u002fAL+WsPT5ID8AItJT9YIjPwBgE4Gy+Q4\\u002fgKJpLoh2WL8ApROsDdhhPwB4NnULdDi\\u002fgCGWsdZVY78AmPljiGthPwCAdjbSJUA\\u002fgHBcAboua78A2zx9VftdP4BHV518f2k\\u002fADNvNomMc78AQO3xjkUEv8DHna5hWHc\\u002foG\\u002fh6Q\\u002fAeb8AH0TxzxVZP3BRS4d9o3A\\u002fqETJEAitgL\\u002fY3yc\\u002fl4uCPyj94cvcpoG\\u002f4Ft2oFJXdz9AWjK2Vs5ivwD60n9csEq\\u002fAEzXw84rZz\\u002fA3GbkW2Nqv4Dx0DTbeWo\\u002fwI0zEFoIY78AwraackxcPwD2jdhk0Um\\u002f8AGXsPT5ID8AAtJT9YIjPwCwE4Gy+Q4\\u002fgKJpLoh2WL+AoROsDdhhPwCENnULdDi\\u002fACCWsdZVY7+AmPljiGthPwCGdjbSJUA\\u002fgHBcAboua78A2zx9VftdPwBHV518f2k\\u002fQDJvNomMc78AYO3xjkUEv8DHna5hWHc\\u002fIHDh6Q\\u002fAeb+AIUTxzxVZP7BRS4d9o3A\\u002ffETJEAitgL983yc\\u002fl4uCPxj94cvcpoG\\u002fYFt2oFJXdz\\u002fwZ8rgKXqAPwC6ALDQ7He\\u002fAFrCdV7bYD8ABvjjEO1UPwDxOsNEYWi\\u002fgFSgs7hPbT+AYkuFjeFmv4B6Js23lmI\\u002fgJ6UHgAUU79Q6frsIpxAPwCNc29iJyy\\u002fAMBIWbkUOD8ADIplFARZv4Dx2KioBl8\\u002fAICpSXORDD8ALrEHcytmvwBWV3ozHF8\\u002fAJ189dcOUD8Axr37H9BqvwBDkQBfPVc\\u002fADr9Tzl9aT8AiiMUbElyvwDQyouzFhs\\u002fwIZ0qp0Sdj8A7hK2NPV5v4BYV2ejrGA\\u002fAIVRcCSkbD\\u002fcpvm+QhmAv8j3WjYcP4M\\u002fWErARE4hhL8waMrgKXqAP8C2ALDQ7He\\u002fgFXCdV7bYD8ACfjjEO1UP4DwOsNEYWi\\u002fwFKgs7hPbT\\u002fAYkuFjeFmvwB7Js23lmI\\u002fgKeUHgAUU78w7PrsIpxAPwCic29iJyy\\u002fAMhIWbkUOD8ADYplFARZv4Dv2KioBl8\\u002fAKCoSXORDD8ALrEHcytmvwBWV3ozHF8\\u002fAJd89dcOUD8Axr37H9BqvwBEkQBfPVc\\u002fgDv9Tzl9aT\\u002fAiSMUbElyvwDAyouzFhs\\u002fwId0qp0Sdj8A7xK2NPV5v0BZV2ejrGA\\u002fAIdRcCSkbD\\u002fkpvm+QhmAv5T3WjYcP4M\\u002feErARE4hhL\\u002fwZ8rgKXqAPyAWYnPu8II\\u002fQOrX22GRgL8AxQ\\u002fBmSZ1PwChIsl1rlm\\u002fAO3nx4EXX7+Ahhat47JtP4AgN8qRx2q\\u002fgMHCoZUCaD8AhKtz4Ztav8BoLP4P5U4\\u002fQC9hKQBaQb+A71pKoRpDP4AdZm\\u002fHKle\\u002fAOaK+42hVz8AlJcM5xhCPwBIFz1fAmi\\u002fAP8EP3IjWz8A3CEntLRYP4BXvt1rQGu\\u002fALw3saNxTj8AU3SxVrxqP4BAu7yeL3G\\u002fAMCMUNMwDD+AEfN\\u002fUD51P2D\\u002fbhIj3Xm\\u002fQC6AS9D0Yz+AAsZNTBBoPxDKYtePg36\\u002flAoYFZkXgz+Agi0KO+yEvzAWYnPu8II\\u002fAOnX22GRgL9Awg\\u002fBmSZ1PwCfIsl1rlm\\u002fAO7nx4EXX78AhRat47JtP0AeN8qRx2q\\u002fgMHCoZUCaD+AiKtz4Ztav0BuLP4P5U4\\u002fADVhKQBaQb+A8lpKoRpDPwAdZm\\u002fHKle\\u002fgOWK+42hVz8AkJcM5xhCP4BHFz1fAmi\\u002fAAQFP3IjWz8A4iEntLRYPwBYvt1rQGu\\u002fALw3saNxTj8AU3SxVrxqP8BAu7yeL3G\\u002fAACNUNMwDD8AEvN\\u002fUD51P+AAbxIj3Xm\\u002fQC6AS9D0Yz+ABsZNTBBoP2DKYtePg36\\u002ffAoYFZkXgz\\u002fggi0KO+yEvyAWYnPu8II\\u002fwOKantkfhD9w\\u002fSrQZ\\u002fiCvwAXxPWAIX4\\u002fALrZNZG4cr8APD1PkqM1PwB03eizjWg\\u002fwHrww2wtbr\\u002fAtNgPp4VuPyDHZAoKA2K\\u002fYAABRM7FVz9AWsKGTLpJv4DLuEDwBEY\\u002fgOFPtlxWUr8AQgIhlfBKP4BOfzFT+FE\\u002fgMHhkMmuaL8ALoI\\u002fXx5WPwAyXYx+6GA\\u002fAB7VHB7ya78ApKceDhM7PwDA4YlLCW0\\u002fwL\\u002fzzchycL8ASJ\\u002fcwf4hvwCLtuH2+3Q\\u002foE4ibeTGeb+A9fID8cVmP8Dp6sYsyGM\\u002fATNOXVHNfL+wJC8dFqCCP4D3XHNUEoW\\u002fsOKantkfhD9A\\u002fCrQZ\\u002fiCv4AUxPWAIX4\\u002fgLjZNZG4cr8AQD1PkqM1P4Bx3eizjWg\\u002fAHvww2wtbr+AtNgPp4VuP4DNZAoKA2K\\u002f4AEBRM7FVz9gVcKGTLpJvwDTuEDwBEY\\u002fgOJPtlxWUr8APQIhlfBKPwBIfzFT+FE\\u002fgMDhkMmuaL8AL4I\\u002fXx5WP4A0XYx+6GA\\u002fACDVHB7ya78AoKceDhM7PwC\\u002f4YlLCW0\\u002fAMDzzchycL8AUJ\\u002fcwf4hv6CMtuH2+3Q\\u002f4E8ibeTGeb8A9vID8cVmP4Du6sYsyGM\\u002fIzNOXVHNfL9sJC8dFqCCP9j3XHNUEoW\\u002fwOKantkfhD+weX53gbCEPyCFLxNCSYS\\u002fwNP3753fgT9gu1cpE4J7v4B9zmqT+mg\\u002fAD1XhNP4VT\\u002fAyFjMUm1vv+AOf05p93I\\u002fgLW1uWM2aL+wLwOmoQphP9CLt2bLYFC\\u002fAFql35YQRD8AXj9bd1NEvwBQlEtBfAg\\u002fAJHexKQbWz8Anj6cUCFovwAsNNUmFU4\\u002fAFwyyp+VZT+Ayij\\u002fIVdsvwDwx\\u002fAGeBu\\u002fQNYqSfUScD8AvqauZBlwvwDmTxUlrzq\\u002foMnUisVLdT\\u002fg86844ux5v+CrvBKjd2k\\u002fYIOLdS9yXz+3l8e7pBZ7v0ABY0SpFoI\\u002fCOGpFiUMhb\\u002fAeX53gbCEP+CDLxNCSYS\\u002fENL3753fgT9gulcpE4J7vwB+zmqT+mg\\u002fADdXhNP4VT9AyljMUm1vv0AOf05p93I\\u002fILu1uWM2aL\\u002fgLwOmoQphP5CPt2bLYFC\\u002fAFWl35YQRD8AXT9bd1NEvwDwk0tBfAg\\u002fgI\\u002fexKQbWz8AnT6cUCFovwAqNNUmFU4\\u002fAF4yyp+VZT+Ayij\\u002fIVdsvwAAyPAGeBu\\u002fwNYqSfUScD8AvaauZBlwvwDiTxUlrzq\\u002foMnUisVLdT\\u002fA9K844ux5vwCsvBKjd2k\\u002fYI2LdS9yXz8pmMe7pBZ7v\\u002fQAY0SpFoI\\u002fOOGpFiUMhb+weX53gbCEP3BPM+YUAYU\\u002fsFcgve0fhb9A0JZqEamDP1DuDHbpm4C\\u002fgD18fdPedT+AXaL86XBQv4BTjtqdjmu\\u002fgEU1rQKNdj\\u002fA\\u002fFMpmFRwv4Bt14pm8Gc\\u002fZPmqiRIhVL8AkuM69Z46PwDwFtP96xY\\u002fAPXpjM0sTL+Am382LvNhPwBIV7E4S2a\\u002fAOjDR8REND8AN8HK2EFqP4DbYkqGBmy\\u002fAO48b4m2RL\\u002fAgi39w+lxP4Clx\\u002fhWC3C\\u002fAHSiHPz+Rr\\u002fA8c83QxZ2P8CnsK0gdXq\\u002fQMgBJFtNbD8g4JinkmZXP9BTOC8hNnm\\u002fgBa8cGuMgT\\u002fYnGCNywCFv4BPM+YUAYU\\u002f4FYgve0fhb8Qz5ZqEamDP7DtDHbpm4C\\u002fgD18fdPedT8AZaL86XBQv0BUjtqdjmu\\u002fwEQ1rQKNdj8A\\u002flMpmFRwv\\u002fBt14pm8Gc\\u002faPiqiRIhVL8AieM69Z46PwC4FtP96xY\\u002fAPjpjM0sTL8AmX82LvNhP4BHV7E4S2a\\u002fAODDR8REND8AOMHK2EFqPwDbYkqGBmy\\u002fAPY8b4m2RL9Agy39w+lxPwClx\\u002fhWC3C\\u002fAHiiHPz+Rr8A8s83QxZ2P6CosK0gdXq\\u002fQMkBJFtNbD9A55inkmZXPyxUOC8hNnm\\u002ffBa8cGuMgT9AnWCNywCFv3BPM+YUAYU\\u002fsAu9SwVDhT\\u002fQwUu2fsSFv5AZb8Nh2YQ\\u002fgElQByKSgr\\u002fALaTd4s18PwBhO28ubWq\\u002fwKWR2PQYYb9AyxCM75p4PwAC8Huy5HW\\u002fABjQJzTMcD\\u002faw9BWB8pZvwAQHtE+Kxg\\u002fwIn+IOg9UD+AplJr+alev0BfuYVo82U\\u002fgEHLnHcUY78AiW9X0FlAvwBtmCe30W4\\u002fAEVV6SbIar8AXeoQoKpTvyAmedUL7XM\\u002fgGeLbWMmcL+AMfBGaDNQv6A0EqrqNnc\\u002fcBwuBsFve7+gAjXLuYBvP0AutGACAk4\\u002fOJgDiWEKd79AuPOIZfaAP4A3TEIn6IS\\u002fAAy9SwVDhT9gwEu2fsSFv6AXb8Nh2YQ\\u002fsEhQByKSgr\\u002fALKTd4s18PwBlO28ubWq\\u002fgKeR2PQYYb8AyxCM75p4P0AD8Huy5HW\\u002fcBfQJzTMcD+4xtBWB8pZvwD6HdE+Kxg\\u002fgIj+IOg9UD+Ap1Jr+alev0BcuYVo82U\\u002fwD\\u002fLnHcUY78AiW9X0FlAvwBumCe30W4\\u002fgERV6SbIar8AYeoQoKpTvwAmedUL7XM\\u002fAGiLbWMmcL8AMfBGaDNQv8A0EqrqNnc\\u002fEB4uBsFve78gAzXLuYBvPyA9tGACAk4\\u002f4JgDiWEKd78wuPOIZfaAP7A3TEIn6IS\\u002fsAu9SwVDhT+Q25zP0X+FP9AnkxSnUIa\\u002fkMpm6Ke2hT8IDrtvaAaEvxCCt6lF8YA\\u002foBb9kEt1dL8ANI1cPTo3v0CdcMpOhHc\\u002f4PK8vLo9fL9Afwm4OG53P75b58+M52G\\u002fgJTnu1oWML\\u002fAMlQ59+ZgPwCb3SC9VWi\\u002fQD5jw2VyaT8AL0Egz9Bcv4D76sOcgli\\u002fACcKJ6SbcT+Asg2syIxovwBetGqoQ16\\u002fYFGMT5gHdj8ACP\\u002fZeU5wv4A8Lt8dmlS\\u002fADioX9uHeD+grdXbS9V8v5AsG9B+pHE\\u002fYDF6HVQ8Nz\\u002fYgEWn3pB0v8AaZfAnPoA\\u002f8HrFYGOnhL\\u002fA25zP0X+FP3AmkxSnUIa\\u002fIMlm6Ke2hT+oDbtvaAaEv+CCt6lF8YA\\u002fQBf9kEt1dL8ALI1cPTo3v0CdcMpOhHc\\u002f0PS8vLo9fL8Afwm4OG53P9ha58+M52G\\u002fgKbnu1oWML\\u002fgMlQ59+ZgP0Cc3SC9VWi\\u002fwDxjw2VyaT8AL0Egz9BcvwD96sOcgli\\u002foCcKJ6SbcT9AsQ2syIxov4BftGqoQ16\\u002fAFGMT5gHdj\\u002fAB\\u002f\\u002fZeU5wv4A5Lt8dmlS\\u002fwDeoX9uHeD9ArdXbS9V8v8AtG9B+pHE\\u002fQEZ6HVQ8Nz+ggEWn3pB0v7AaZfAnPoA\\u002fIHvFYGOnhL+Q25zP0X+FPyiQgXAdooU\\u002fEDuDCsnBhr9QtJjZy2uGP2Dz1t9eK4W\\u002fGLJ8IpzUgj9whs5qGBR6v4CqSkwvylY\\u002fgPliquxUcz\\u002fAeDSS6M+Av7Brd+UJsX8\\u002fDDrTpKF+ar8AocPGPxM\\u002fv+DDuji4sGo\\u002f4G\\u002f7Ie4Ccb\\u002fAGYiXAHxsPwApMSC\\u002fnVC\\u002fgJB+rrCtZb8AI2eFJrpzP0DqCdSZYGW\\u002fQJ0hmk9GZb9g5iDqEy54P6C2R1D4dHC\\u002fgNGynUi0WL\\u002fA6kaTkep5PyB\\u002f29Etin6\\u002foFMlqormcz9wO0I6+Yoyv0AetQHQ0nG\\u002fcN184byffj9QwYTaryqEv2iQgXAdooU\\u002fYDqDCsnBhr8Qs5jZy2uGPwDz1t9eK4W\\u002fqLJ8IpzUgj+Ahc5qGBR6v8CqSkwvylY\\u002fAPpiquxUcz9weTSS6M+Av3Bqd+UJsX8\\u002fvDrTpKF+ar+Aq8PGPxM\\u002fv8DDuji4sGo\\u002fQHD7Ie4Ccb9AF4iXAHxsP4AoMSC\\u002fnVC\\u002fwJB+rrCtZb9AI2eFJrpzP4DpCdSZYGW\\u002fAJ4hmk9GZb\\u002fg5iDqEy54PyC2R1D4dHC\\u002fANOynUi0WL+g6kaTkep5P2B\\u002f29Etin6\\u002faFMlqormcz\\u002fAIUI6+Yoyv2getQHQ0nG\\u002f4Nx84byffj+YwYTaryqEvyiQgXAdooU\\u002fKGKfjxeKhT8AYVbT3QiHv2h6DfipBoc\\u002fmDmSNkcahr9w3IaBH0SEP+Ci0jmBhn6\\u002fgK9ATAY6aD+AcC7ovFFrPwBapEG8F4K\\u002fFOOgMUUehD+MsRR8lcVzvwDO9IchxDu\\u002fEOxOlrZxcj\\u002fgu4JsLjx2v4AdeNm9TG8\\u002fABiMQXgrIL9AOI\\u002fHJP1vv0Ad7HSJynU\\u002fgFVmpVJjYb+AVJjy10Bsv4BZZ2xzX3o\\u002fYAMHuraYcL8ATBQ0tIFcv\\u002fBqfYixSXs\\u002fQKWJwBk1gL9Y4ef5\\u002f4R2P1CChCq2q1C\\u002f0OBLaqGIbb8Q8SffuD98P9DM\\u002fBuEboO\\u002fMGKfjxeKhT9YYFbT3QiHvxB5DfipBoc\\u002fEDmSNkcahr+Q3IaBH0SEP0Cj0jmBhn6\\u002f4K5ATAY6aD+gcC7ovFFrP+BapEG8F4K\\u002fnOKgMUUehD8cshR8lcVzv4Dr9IchxDu\\u002fwOtOlrZxcj8AvYJsLjx2v4AaeNm9TG8\\u002fAAyMQXgrIL8AOI\\u002fHJP1vv8Ad7HSJynU\\u002fwFRmpVJjYb9AVZjy10Bsv0BZZ2xzX3o\\u002fQAMHuraYcL8AThQ0tIFcv7BpfYixSXs\\u002fdKWJwBk1gL+c4uf5\\u002f4R2P6B\\u002fhCq2q1C\\u002fcN9LaqGIbb8w8SffuD98PyDN\\u002fBuEboO\\u002fKGKfjxeKhT\\u002fgV3VV1CCFP3iE+XMeGIe\\u002fAGEpe+18hz8wj66Jb92Gv7DUQowwZoU\\u002fMMDm\\u002fiYPgb+I9bY1j6NxP0COS2EMTF8\\u002fJIRzigrSgb+kUhUFXICHP+SI5+tVJHy\\u002fAJGonNXmEj\\u002fgJ4yFsUJ3P3Dc9myQ3nu\\u002fgKpk36YpcT8AMiK7mw9MP0CAkuGeanW\\u002fwNaM5gLVdz+Ap5zH8pBZvyDJqLmS7XG\\u002f4EGlk1yhfD+gasQtJMNwvwAVNiM27l+\\u002fsOIxac6UfD+8imQy\\u002fiqBvxg9Y9ogZnk\\u002fMJsOt\\u002fReXr+wZzx3y39mvxAvnZqSUHk\\u002fiFyy\\u002fCF0gr8gWHVV1CCFP8iD+XMeGIe\\u002fIGApe+18hz8Ej66Jb92GvzTVQowwZoU\\u002fzL\\u002fm\\u002fiYPgb+g9bY1j6NxP8CSS2EMTF8\\u002f1IRzigrSgb84UhUFXICHPzyJ5+tVJHy\\u002fAFmonNXmEj+QJ4yFsUJ3P3Dc9myQ3nu\\u002fIKlk36YpcT8AMyK7mw9MP4CAkuGeanW\\u002f4NaM5gLVdz8Ap5zH8pBZv8DJqLmS7XG\\u002f4EGlk1yhfD8gasQtJMNwv0AXNiM27l+\\u002fkOIxac6UfD\\u002fAimQy\\u002fiqBvxY9Y9ogZnk\\u002fgJYOt\\u002fReXr8AaDx3y39mvyAvnZqSUHk\\u002fiF2y\\u002fCF0gr\\u002fgV3VV1CCFP\\u002fhVqJoDXoQ\\u002f+HjdFV3nhr\\u002fwxkyln7qHP7Aubs0Udoe\\u002f8NnGCrhThj9CEvWjjYiCv\\u002fBJJKyaUHY\\u002f4E+CKaHdQj84tQSpq3mAv4Z4\\u002fde4Y4k\\u002fioAEShZ8gr9Aw+PTadtRP1DW7Hl9FXs\\u002fQOBATznqgL9A8TqauBBzPwBC7nz4Jl4\\u002fYOKsKDPyer\\u002fgn8W8xuJ5PwALCfX2aE+\\u002fQLGgaoTfdb+gACuc8fl+P6BD9JaGBHG\\u002fgNxTY7tqYb+YimspCbx9P0xVxVQ3HIK\\u002fSI8IGtlkfD8Q3fO9m79mv8B5g4pFl1y\\u002fYOj00KbLdT9goWLvNDKBvyhWqJoDXoQ\\u002fSHjdFV3nhr8Axkyln7qHP6Qubs0Udoe\\u002fvNrGCrhThj8eEvWjjYiCvwRKJKyaUHY\\u002fYFWCKaHdQj\\u002fgtQSpq3mAv8R3\\u002fde4Y4k\\u002fiIAEShZ8gr8wwOPTadtRP5DV7Hl9FXs\\u002fWOBATznqgL9A8DqauBBzPwBC7nz4Jl4\\u002fgOOsKDPyer9AoMW8xuJ5PwAJCfX2aE+\\u002fwLGgaoTfdb\\u002fAACuc8fl+P2BD9JaGBHG\\u002fwNxTY7tqYb+4imspCbx9P1BVxVQ3HIK\\u002fzo8IGtlkfD\\u002fA2vO9m79mv0B5g4pFl1y\\u002fQOj00KbLdT+4oWLvNDKBv\\u002fhVqJoDXoQ\\u002fYEfrEp5Bgz8Q0sQ5EG+GvwwGeUcgsIc\\u002fQsKoW93gh79e3inCJheHPzK6CfMiwoO\\u002fZvJrPLtAej8A8vKHsOVEvyiJrXjOH32\\u002fDhQKvqzjiT\\u002foUKjTBlWGvwxxJtzDx2Q\\u002feLSySBEjfT+g8yK4XeeDv8AdlfPsoXU\\u002fwEk7HvNSZj9AGTTmezWAv+DaQWnR\\u002fns\\u002fALhgILC8N7\\u002fg+QvR5cd5v8DPS60ftYA\\u002fEF1XTk1vcb\\u002fA9UPGvYJiv3gUitQAsH4\\u002f6rLggRYBg7+UtkPF1mF\\u002fP9AsUFLazG6\\u002fAOkUFcneQ79gd7BXf7BxP4DypD0cLH+\\u002fcEfrEp5Bgz9Y0cQ5EG+Gv\\u002fwEeUcgsIc\\u002fPMKoW93gh7\\u002f03inCJheHP7+5CfMiwoO\\u002fWPJrPLtAej9w6fKHsOVEv9iKrXjOH32\\u002fMhQKvqzjiT9NUajTBlWGv+htJtzDx2Q\\u002fOLSySBEjfT\\u002fQ8yK4XeeDvwAdlfPsoXU\\u002fYEo7HvNSZj+QGTTmezWAv2DaQWnR\\u002fns\\u002fALRgILC8N7+w+gvR5cd5v3jPS60ftYA\\u002f0FtXTk1vcb9A9UPGvYJivzAUitQAsH4\\u002f3LLggRYBg79+tkPF1mF\\u002fP8ArUFLazG6\\u002fgOsUFcneQ7+wd7BXf7BxP+DzpD0cLH+\\u002fYEfrEp5Bgz9gh03KwsyBPxj+sZzFo4W\\u002fzB66dnpWhz90bmtsaxiIv2mDhHv7r4c\\u002fKtFhjyzJhL8OqQgQa5h9P4bD0jFOVly\\u002fwiMQ9CLReL8axHTzXGiJP2R\\u002fkJv5MYm\\u002flpmXefwecT\\u002f4siShYvN8PzSUVSD7ooa\\u002fQE3xDnEDeT+AjM7NFuJrP8h5hfHn0IK\\u002fkIL+EBc2fj8AzLhLjlUnP1AlsGScfn2\\u002feJnfT\\u002fv1gT+whtCNIRNyv6Bet2PSHGO\\u002fVOW\\u002fCVlkfz\\u002fUQDQvttGDv5opseB0JIE\\u002fsLNyXjaLc78AIoIebZ5EP2DLcRtXFGo\\u002fUBQQr5Moe7\\u002fIh03KwsyBP8D9sZzFo4W\\u002fvB26dnpWhz\\u002fKbWtsaxiIv26EhHv7r4c\\u002fTNFhjyzJhL+PpwgQa5h9P6K70jFOVly\\u002fLyUQ9CLReL9fw3TzXGiJP4N\\u002fkJv5MYm\\u002f0peXefwecT9IsiShYvN8P6iUVSD7ooa\\u002foEzxDnEDeT+gjM7NFuJrPxh6hfHn0IK\\u002fkIL+EBc2fj8A1rhLjlUnPwAmsGScfn2\\u002fWJnfT\\u002fv1gT9QhdCNIRNyv+Bft2PSHGO\\u002fUOW\\u002fCVlkfz\\u002fWQDQvttGDv6IpseB0JIE\\u002feLJyXjaLc78AHIIebZ5EP2DLcRtXFGo\\u002fIBUQr5Moe79gh03KwsyBP7iT5n21AIA\\u002fFHCsg9F5hL8Wfo\\u002fjvauGPwr1upP2FYi\\u002fAKDN5dwYiD\\u002fDqrSJXqaFvxRDcCUlPYA\\u002fUNcUnuMqZr8s3QRtIWd0v+MT1zOtT4g\\u002fnJaEi6wOi7\\u002feTT12xq53PyhOTwITqHo\\u002f7I44dQ\\u002fViL+AA9nROyN9P4C3\\u002fZ7VBm8\\u002fyBh6mB8thb+4tgCxukqAPwBOf1nFF0Q\\u002faEQbKg5zgL+Qcf5mljmDP6ipnHmu+XK\\u002fQJOwQ8MPY7\\u002f4neNhVNB\\u002fP5RCFtHxhYS\\u002fMIp9GQWFgj8wTtFOV693vwAvMS5tV18\\u002fACIL3I\\u002fCXz8wPYyWOGl2v6iT5n21AIA\\u002fiG+sg9F5hL9SfY\\u002fjvauGPyD1upP2FYi\\u002fxqDN5dwYiD8bq7SJXqaFv1lCcCUlPYA\\u002fbNUUnuMqZr8E3gRtIWd0vwIU1zOtT4g\\u002f85aEi6wOi78nTT12xq53P0BOTwITqHo\\u002fJI84dQ\\u002fViL\\u002fQAtnROyN9P4C3\\u002fZ7VBm8\\u002fABl6mB8thb9otwCxukqAP4BUf1nFF0Q\\u002fCEUbKg5zgL9Qcf5mljmDP4CpnHmu+XK\\u002fAJCwQ8MPY7+onuNhVNB\\u002fP7RCFtHxhYS\\u002fSIp9GQWFgj8ITtFOV693v8AwMS5tV18\\u002fwCEL3I\\u002fCXz+wPoyWOGl2v7iT5n21AIA\\u002fYHjYcHTDez\\u002f+4KTiZO2Cv54zHb4br4U\\u002f1kQiftDRh79wxBXd\\u002fEuIP5jvmkQ1Xoa\\u002f6rpKH6h\\u002fgT\\u002fY6XadPEptv5TLfGRqF3C\\u002fbQroBirchj\\u002fz4GHp8xOMv1P1ihxedn0\\u002fqJTji1vedj8w67fCxVCKv6D9v7rG24A\\u002f4HACgXlZbz9YYntSlSuHv7Dn+qf3koE\\u002fAMKHgJKVTT+4vqxoMfWBvxg\\u002flU9yeYQ\\u002fEGxVam4mdL8gXgaZIzhiv4forde37H8\\u002fsmOGGoMXhb8gJ4SGUcmDP8gSMY40tnu\\u002fQLa+S1RHaj+AHcyskSREP0B+srGkGHG\\u002fWHnYcHTDez+I4KTiZO2Cv8QyHb4br4U\\u002f0kQiftDRh7\\u002fOxBXd\\u002fEuIP57vmkQ1Xoa\\u002fnLpKH6h\\u002fgT846nadPEptv9jNfGRqF3C\\u002fIgroBirchj9V4WHp8xOMv3f0ihxedn0\\u002fwJTji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ABqAKUAawCmAGwApwBtAKgAbgCpAG8AqgBwAKsAcQCsAHIArQBzAK4AdACvAHUAsAB2ALEAdwCyAHgAswB5ALQAtQB7ALYAtwB8ALcAfQC4AH4AuQB\\u002fALoAgAC7AIEAvACCAL0AgwC+AIQAvwCFAMAAhgDBAIcAwgCIAMMAiQDEAIoAxQCLAMYAjADHAI0AyACOAMkAjwDKAJAAywCRAMwAkgDNAJMAzgCUAM8AlQDQAJYA0QCXANIAmADTAJkA1ACaANUAmwDWAJwA1wCdANgAngDZAJ8A2gCgANsAoQDcAKIA3QCjAN4ApADfAKUA4ACmAOEApwDiAKgA4wCpAOQAqgDlAKsA5gCsAOcArQDoAK4A6QCvAOoAsADrALEA7ACyAO0AswDuALQA7wC1APAAtgDxAPIAuADzAPQAuQD0ALoA9QC7APYAvAD3AL0A+AC+APkAvwD6AMAA+wDBAPwAwgD9AMMA\\u002fgDEAP8AxQAAAcYAAQHHAAIByAADAckABAHKAAUBywAGAcwABwHNAAgBzgAJAc8ACgHQAAsB0QAMAdIADQHTAA4B1AAPAdUAEAHWABEB1wASAdgAEwHZABQB2gAVAdsAFgHcABcB3QAYAd4AGQHfABoB4AAbAeEAHAHiAB0B4wAeAeQAHwHlACAB5gAhAecAIgHoACMB6QAkAeoAJQHrACYB7AAnAe0AKAHuACkB7wAqAfAAKwHxACwB8gAtAfMALgEvAfUAMAExAfYAMQH3ADIB+AAzAfkANAH6ADUB+wA2AfwANwH9ADgB\\u002fgA5Af8AOgEAATsBAQE8AQIBPQEDAT4BBAE\\u002fAQUBQAEGAUEBBwFCAQgBQwEJAUQBCgFFAQsBRgEMAUcBDQFIAQ4BSQEPAUoBEAFLAREBTAESAU0BEwFOARQBTwEVAVABFgFRARcBUgEYAVMBGQFUARoBVQEbAVYBHAFXAR0BWAEeAVkBHwFaASABWwEhAVwBIgFdASMBXgEkAV8BJQFgASYBYQEnAWIBKAFjASkBZAEqAWUBKwFmASwBZwEtAWgBLgFpAS8BagEwAWsBbAEyAW0BbgEzAW4BNAFvATUBcAE2AXEBNwFyATgBcwE5AXQBOgF1ATsBdgE8AXcBPQF4AT4BeQE\\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\\u002fQHDAf4BxAH\\u002fAcUBAALGAQECxwECAsgBAwLJAQQCygEFAssBBgLMAQcCzQEIAs4BCQLPAQoC0AELAtEBDALSAQ0C0wEOAtQBDwLVARAC1gERAtcBEgLYARMC2QEUAtoBFQLbARYC3AEXAt0BGALeARkC3wEaAuABGwLhARwC4gEdAuMBHgLkAR8C5QEgAuYBIQLnASICIwLpASQCJQLqASUC6wEmAuwBJwLtASgC7gEpAu8BKgLwASsC8QEsAvIBLQLzAS4C9AEvAvUBMAL2ATEC9wEyAvgBMwL5ATQC+gE1AvsBNgL8ATcC\\u002fQE4Av4BOQL\\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\\u002fAoUCwAKGAsEChwLCAogCwwKJAsQCigLFAosCxgKMAscCjQLIAo4CyQKPAsoCkALLApECzAKSAs0CkwLOApQCzwKVAtAClgLRApcC0gKYAtMCmQLUApoC1QKbAtYCnALXAp0C2AKeAtkC2gKgAtsC3AKhAtwCogLdAqMC3gKkAt8CpQLgAqYC4QKnAuICqALjAqkC5AKqAuUCqwLmAqwC5wKtAugCrgLpAq8C6gKwAusCsQLsArIC7QKzAu4CtALvArUC8AK2AvECtwLyArgC8wK5AvQCugL1ArsC9gK8AvcCvQL4Ar4C+QK\\u002fAvoCwAL7AsEC\\u002fALCAv0CwwL+AsQC\\u002fwLFAgADxgIBA8cCAgPIAgMDyQIEA8oCBQPLAgYDzAIHA80CCAPOAgkDzwIKA9ACCwPRAgwD0gINA9MCDgPUAg8D1QIQA9YCEQPXAhID2AITA9kCFAPaAhUD2wIWAxcD3QIYAxkD3gIZA98CGgPgAhsD4QIcA+ICHQPjAh4D5AIfA+UCIAPmAiED5wIiA+gCIwPpAiQD6gIlA+sCJgPsAicD7QIoA+4CKQPvAioD8AIrA\\u002fECLAPyAi0D8wIuA\\u002fQCLwP1AjAD9gIxA\\u002fcCMgP4AjMD+QI0A\\u002foCNQP7AjYD\\u002fAI3A\\u002f0COAP+AjkD\\u002fwI6AwADOwMBAzwDAgM9AwMDPgMEAz8DBQNAAwYDQQMHA0IDCANDAwkDRAMKA0UDCwNGAwwDRwMNA0gDDgNJAw8DSgMQA0sDEQNMAxIDTQMTA04DFANPAxUDUAMWA1EDFwNSAxgDUwNUAxoDVQNWAxsDVgMcA1cDHQNYAx4DWQMfA1oDIANbAyEDXAMiA10DIwNeAyQDXwMlA2ADJgNhAycDYgMoA2MDKQNkAyoDZQMrA2YDLANnAy0DaAMuA2kDLwNqAzADawMxA2wDMgNtAzMDbgM0A28DNQNwAzYDcQM3A3IDOANzAzkDdAM6A3UDOwN2AzwDdwM9A3gDPgN5Az8DegNAA3sDQQN8A0IDfQNDA34DRAN\\u002fA0UDgANGA4EDRwOCA0gDgwNJA4QDSgOFA0sDhgNMA4cDTQOIA04DiQNPA4oDUAOLA1EDjANSA40DUwOOA1QDjwNVA5ADkQNXA5IDkwNYA5MDWQOUA1oDlQNbA5YDXAOXA10DmANeA5kDXwOaA2ADmwNhA5wDYgOdA2MDngNkA58DZQOgA2YDoQNnA6IDaAOjA2kDpANqA6UDawOmA2wDpwNtA6gDbgOpA28DqgNwA6sDcQOsA3IDrQNzA64DdAOvA3UDsAN2A7EDdwOyA3gDswN5A7QDegO1A3sDtgN8A7cDfQO4A34DuQN\\u002fA7oDgAO7A4EDvAOCA70DgwO+A4QDvwOFA8ADhgPBA4cDwgOIA8MDiQPEA4oDxQOLA8YDjAPHA40DyAOOA8kDjwPKA5ADywORA8wDkgPNA84DlAPPA9ADlQPQA5YD0QOXA9IDmAPTA5kD1AOaA9UDmwPWA5wD1wOdA9gDngPZA58D2gOgA9sDoQPcA6ID3QOjA94DpAPfA6UD4AOmA+EDpwPiA6gD4wOpA+QDqgPlA6sD5gOsA+cDrQPoA64D6QOvA+oDsAPrA7ED7AOyA+0DswPuA7QD7wO1A\\u002fADtgPxA7cD8gO4A\\u002fMDuQP0A7oD9QO7A\\u002fYDvAP3A70D+AO+A\\u002fkDvwP6A8AD+wPBA\\u002fwDwgP9A8MD\\u002fgPEA\\u002f8DxQMABMYDAQTHAwIEyAMDBMkDBATKAwUEywMGBMwDBwTNAwgEzgMJBM8DCgQLBNEDDAQNBNIDDQTTAw4E1AMPBNUDEATWAxEE1wMSBNgDEwTZAxQE2gMVBNsDFgTcAxcE3QMYBN4DGQTfAxoE4AMbBOEDHATiAx0E4wMeBOQDHwTlAyAE5gMhBOcDIgToAyME6QMkBOoDJQTrAyYE7AMnBO0DKATuAykE7wMqBPADKwTxAywE8gMtBPMDLgT0Ay8E9QMwBPYDMQT3AzIE+AMzBPkDNAT6AzUE+wM2BPwDNwT9AzgE\\u002fgM5BP8DOgQABDsEAQQ8BAIEPQQDBD4EBAQ\\u002fBAUEQAQGBEEEBwRCBAgEQwQJBEQECgRFBAsERgQMBEcESAQOBEkESgQPBEoEEARLBBEETAQSBE0EEwROBBQETwQVBFAEFgRRBBcEUgQYBFMEGQRUBBoEVQQbBFYEHARXBB0EWAQeBFkEHwRaBCAEWwQhBFwEIgRdBCMEXgQkBF8EJQRgBCYEYQQnBGIEKARjBCkEZAQqBGUEKwRmBCwEZwQtBGgELgRpBC8EagQwBGsEMQRsBDIEbQQzBG4ENARvBDUEcAQ2BHEENwRyBDgEcwQ5BHQEOgR1BDsEdgQ8BHcEPQR4BD4EeQQ\\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\\u002fQTDBP4E\\u002fwTFBAAFAQXGBAEFxwQCBcgEAwXJBAQFygQFBcsEBgXMBAcFzQQIBc4ECQXPBAoF0AQLBdEEDAXSBA0F0wQOBdQEDwXVBBAF1gQRBdcEEgXYBBMF2QQUBdoEFQXbBBYF3AQXBd0EGAXeBBkF3wQaBeAEGwXhBBwF4gQdBeMEHgXkBB8F5QQgBeYEIQXnBCIF6AQjBekEJAXqBCUF6wQmBewEJwXtBCgF7gQpBe8EKgXwBCsF8QQsBfIELQXzBC4F9AQvBfUEMAX2BDEF9wQyBfgEMwX5BDQF+gQ1BfsENgX8BDcF\\u002fQQ4Bf4EOQX\\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\\u002fBYUFwAWGBcEFhwXCBYgFwwWJBcQFigXFBYsFxgWMBccFjQXIBY4FyQWPBcoFkAXLBZEFzAWSBc0FkwXOBZQFzwWVBdAFlgXRBZcF0gWYBdMFmQXUBZoF1QWbBdYFnAXXBZ0F2AWeBdkFnwXaBaAF2wWhBdwFogXdBaMF3gWkBd8FpQXgBaYF4QWnBeIFqAXjBakF5AWqBeUFqwXmBawF5wWtBegFrgXpBa8F6gWwBesFsQXsBbIF7QWzBe4FtAXvBbUF8AW2BfEFtwXyBfMFuQX0BfUFugX1BbsF9gW8BfcFvQX4Bb4F+QW\\u002fBfoFwAX7BcEF\\u002fAXCBf0FwwX+BcQF\\u002fwXFBQAGxgUBBscFAgbIBQMGyQUEBsoFBQbLBQYGzAUHBs0FCAbOBQkGzwUKBtAFCwbRBQwG0gUNBtMFDgbUBQ8G1QUQBtYFEQbXBRIG2AUTBtkFFAbaBRUG2wUWBtwFFwbdBRgG3gUZBt8FGgbgBRsG4QUcBuIFHQbjBR4G5AUfBuUFIAbmBSEG5wUiBugFIwbpBSQG6gUlBusFJgbsBScG7QUoBu4FKQbvBSoG8AUrBvEFLAbyBS0G8wUuBvQFLwYwBvYFMQYyBvcFMgb4BTMG+QU0BvoFNQb7BTYG\\u002fAU3Bv0FOAb+BTkG\\u002fwU6BgAGOwYBBjwGAgY9BgMGPgYEBj8GBQZABgYGQQYHBkIGCAZDBgkGRAYKBkUGCwZGBgwGRwYNBkgGDgZJBg8GSgYQBksGEQZMBhIGTQYTBk4GFAZPBhUGUAYWBlEGFwZSBhgGUwYZBlQGGgZVBhsGVgYcBlcGHQZYBh4GWQYfBloGIAZbBiEGXAYiBl0GIwZeBiQGXwYlBmAGJgZhBicGYgYoBmMGKQZkBioGZQYrBmYGLAZnBi0GaAYuBmkGLwZqBjAGawYxBmwGbQYzBm4GbwY0Bm8GNQZwBjYGcQY3BnIGOAZzBjkGdAY6BnUGOwZ2BjwGdwY9BngGPgZ5Bj8GegZABnsGQQZ8BkIGfQZDBn4GRAZ\\u002fBkUGgAZGBoEGRwaCBkgGgwZJBoQGSgaFBksGhgZMBocGTQaIBk4GiQZPBooGUAaLBlEGjAZSBo0GUwaOBlQGjwZVBpAGVgaRBlcGkgZYBpMGWQaUBloGlQZbBpYGXAaXBl0GmAZeBpkGXwaaBmAGmwZhBpwGYgadBmMGngZkBp8GZQagBmYGoQZnBqIGaAajBmkGpAZqBqUGawamBmwGpwZtBqgGbgapBqoGcAarBqwGcQasBnIGrQZzBq4GdAavBnUGsAZ2BrEGdwayBngGswZ5BrQGega1BnsGtgZ8BrcGfQa4Bn4GuQZ\\u002fBroGgAa7BoEGvAaCBr0Ggwa+BoQGvwaFBsAGhgbBBocGwgaIBsMGiQbEBooGxQaLBsYGjAbHBo0GyAaOBskGjwbKBpAGywaRBswGkgbNBpMGzgaUBs8GlQbQBpYG0QaXBtIGmAbTBpkG1AaaBtUGmwbWBpwG1wadBtgGngbZBp8G2gagBtsGoQbcBqIG3QajBt4GpAbfBqUG4AamBuEGpwbiBqgG4wapBuQGqgblBqsG5gbnBq0G6AbpBq4G6QavBuoGsAbrBrEG7AayBu0GswbuBrQG7wa1BvAGtgbxBrcG8ga4BvMGuQb0BroG9Qa7BvYGvAb3Br0G+Aa+BvkGvwb6BsAG+wbBBvwGwgb9BsMG\\u002fgbEBv8GxQYAB8YGAQfHBgIHyAYDB8kGBAfKBgUHywYGB8wGBwfNBggHzgYJB88GCgfQBgsH0QYMB9IGDQfTBg4H1AYPB9UGEAfWBhEH1wYSB9gGEwfZBhQH2gYVB9sGFgfcBhcH3QYYB94GGQffBhoH4AYbB+EGHAfiBh0H4wYeB+QGHwflBiAH5gYhB+cGIgfoBiMHJAfqBiUHJgfrBiYH7AYnB+0GKAfuBikH7wYqB\\u002fAGKwfxBiwH8gYtB\\u002fMGLgf0Bi8H9QYwB\\u002fYGMQf3BjIH+AYzB\\u002fkGNAf6BjUH+wY2B\\u002fwGNwf9BjgH\\u002fgY5B\\u002f8GOgcABzsHAQc8BwIHPQcDBz4HBAc\\u002fBwUHQAcGB0EHBwdCBwgHQwcJB0QHCgdFBwsHRgcMB0cHDQdIBw4HSQcPB0oHEAdLBxEHTAcSB00HEwdOBxQHTwcVB1AHFgdRBxcHUgcYB1MHGQdUBxoHVQcbB1YHHAdXBx0HWAceB1kHHwdaByAHWwchB1wHIgddByMHXgckB18HJQdgB2EHJwdiB2MHKAdjBykHZAcqB2UHKwdmBywHZwctB2gHLgdpBy8HagcwB2sHMQdsBzIHbQczB24HNAdvBzUHcAc2B3EHNwdyBzgHcwc5B3QHOgd1BzsHdgc8B3cHPQd4Bz4HeQc\\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\\u002fIHuAfzB7kH9Ae6B\\u002fUHuwf2B7wH9we9B\\u002fgHvgf5B78H+gfAB\\u002fsHwQf8B8IH\\u002fQfDB\\u002f4HxAf\\u002fB8UHAAjGBwEIxwcCCMgHAwjJBwQIygcFCMsHBgjMBwcIzQcICM4HCQjPBwoI0AcLCNEHDAjSBw0I0wcOCNQHDwjVBxAI1gcRCNcHEgjYBxMI2QcUCNoHFQjbBxYI3AcXCBgI3gcZCBoI3wcaCOAHGwjhBxwI4gcdCOMHHgjkBx8I5QcgCOYHIQjnByII6AcjCOkHJAjqByUI6wcmCOwHJwjtBygI7gcpCO8HKgjwBysI8QcsCPIHLQjzBy4I9AcvCPUHMAj2BzEI9wcyCPgHMwj5BzQI+gc1CPsHNgj8BzcI\\u002fQc4CP4HOQj\\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\\u002fCIUIwAiGCMEIhwjCCIgIwwiJCMQIigjFCIsIxgiMCMcIjQjICI4IyQiPCMoIkAjLCJEIzAiSCM0IkwjOCM8IlQjQCNEIlgjRCJcI0giYCNMImQjUCJoI1QibCNYInAjXCJ0I2AieCNkInwjaCKAI2wihCNwIogjdCKMI3gikCN8IpQjgCKYI4QinCOIIqAjjCKkI5AiqCOUIqwjmCKwI5witCOgIrgjpCK8I6giwCOsIsQjsCLII7QizCO4ItAjvCLUI8Ai2CPEItwjyCLgI8wi5CPQIugj1CLsI9gi8CPcIvQj4CL4I+Qi\\u002fCPoIwAj7CMEI\\u002fAjCCP0Iwwj+CMQI\\u002fwjFCAAJxggBCccIAgnICAMJyQgECcoIBQnLCAYJzAgHCc0ICAnOCAkJzwgKCdAICwkMCdIIDQkOCdMIDgnUCA8J1QgQCdYIEQnXCBIJ2AgTCdkIFAnaCBUJ2wgWCdwIFwndCBgJ3ggZCd8IGgngCBsJ4QgcCeIIHQnjCB4J5AgfCeUIIAnmCCEJ5wgiCegIIwnpCCQJ6gglCesIJgnsCCcJ7QgoCe4IKQnvCCoJ8AgrCfEILAnyCC0J8wguCfQILwn1CDAJ9ggxCfcIMgn4CDMJ+Qg0CfoINQn7CDYJ\\u002fAg3Cf0IOAn+CDkJ\\u002fwg6CQAJOwkBCTwJAgk9CQMJPgkECT8JBQlACQYJQQkHCUIJCAlDCQkJRAkKCUUJCwlGCQwJRwkNCUgJSQkPCUoJSwkQCUsJEQlMCRIJTQkTCU4JFAlPCRUJUAkWCVEJFwlSCRgJUwkZCVQJGglVCRsJVgkcCVcJHQlYCR4JWQkfCVoJIAlbCSEJXAkiCV0JIwleCSQJXwklCWAJJglhCScJYgkoCWMJKQlkCSoJZQkrCWYJLAlnCS0JaAkuCWkJLwlqCTAJawkxCWwJMgltCTMJbgk0CW8JNQlwCTYJcQk3CXIJOAlzCTkJdAk6CXUJOwl2CTwJdwk9CXgJPgl5CT8JeglACXsJQQl8CUIJfQlDCX4JRAl\\u002fCUUJgAlGCYEJRwmCCUgJgwlJCYQJSgmFCYYJTAmHCYgJTQmICU4JiQlPCYoJUAmLCVEJjAlSCY0JUwmOCVQJjwlVCZAJVgmRCVcJkglYCZMJWQmUCVoJlQlbCZYJXAmXCV0JmAleCZkJXwmaCWAJmwlhCZwJYgmdCWMJnglkCZ8JZQmgCWYJoQlnCaIJaAmjCWkJpAlqCaUJawmmCWwJpwltCagJbgmpCW8JqglwCasJcQmsCXIJrQlzCa4JdAmvCXUJsAl2CbEJdwmyCXgJswl5CbQJegm1CXsJtgl8CbcJfQm4CX4JuQl\\u002fCboJgAm7CYEJvAmCCb0Jgwm+CYQJvwmFCcAJhgnBCYcJwgnDCYkJxAnFCYoJxQmLCcYJjAnHCY0JyAmOCckJjwnKCZAJywmRCcwJkgnNCZMJzgmUCc8JlQnQCZYJ0QmXCdIJmAnTCZkJ1AmaCdUJmwnWCZwJ1wmdCdgJngnZCZ8J2gmgCdsJoQncCaIJ3QmjCd4JpAnfCaUJ4AmmCeEJpwniCagJ4wmpCeQJqgnlCasJ5gmsCecJrQnoCa4J6QmvCeoJsAnrCbEJ7AmyCe0JswnuCbQJ7wm1CfAJtgnxCbcJ8gm4CfMJuQn0CboJ9Qm7CfYJvAn3Cb0J+Am+CfkJvwn6CcAJ+wnBCfwJwgn9CcMJ\\u002fgnECf8JAArGCQEKAgrHCQIKyAkDCskJBArKCQUKywkGCswJBwrNCQgKzgkJCs8JCgrQCQsK0QkMCtIJDQrTCQ4K1AkPCtUJEArWCREK1wkSCtgJEwrZCRQK2gkVCtsJFgrcCRcK3QkYCt4JGQrfCRoK4AkbCuEJHAriCR0K4wkeCuQJHwrlCSAK5gkhCucJIgroCSMK6QkkCuoJJQrrCSYK7AknCu0JKAruCSkK7wkqCvAJKwrxCSwK8gktCvMJLgr0CS8K9QkwCvYJMQr3CTIK+AkzCvkJNAr6CTUK+wk2CvwJNwr9CTgK\\u002fgk5Cv8JOgoACjsKAQo8Cj0KAwo+Cj8KBAo\\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\\u002fQrDCv4KxAr\\u002fCsUKAAvGCgELxwoCC8gKAwvJCgQLygoFC8sKBgvMCgcLzQoIC84KCQvPCgoL0AoLC9EKDAvSCg0L0woOC9QKDwvVChAL1goRC9cKEgvYChML2QoUC9oKFQvbChYL3AoXC90KGAveChkL3woaC+AKGwvhChwL4godC+MKHgvkCh8L5QogC+YKIQvnCiIL6AojC+kKJAvqCiUL6womC+wKJwvtCigL7gopC+8KKgvwCisL8QosC\\u002fIKLQvzCi4L9AovC\\u002fUKMAsxC\\u002fcKMgszC\\u002fgKMwv5CjQL+go1C\\u002fsKNgv8CjcL\\u002fQo4C\\u002f4KOQv\\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\\u002fC4ULwAuGC8ELhwvCC4gLwwuJC8QLigvFC4sLxguMC8cLjQvIC44LyQuPC8oLkAvLC5ELzAuSC80LkwvOC5QLzwuVC9ALlgvRC5cL0guYC9MLmQvUC5oL1QubC9YLnAvXC50L2AueC9kLnwvaC6AL2wuhC9wLogvdC6ML3gukC98LpQvgC6YL4QunC+ILqAvjC6kL5AuqC+ULqwvmC6wL5wvoC64L6QvqC68L6guwC+sLsQvsC7IL7QuzC+4LtAvvC7UL8Au2C\\u002fELtwvyC7gL8wu5C\\u002fQLugv1C7sL9gu8C\\u002fcLvQv4C74L+Qu\\u002fC\\u002foLwAv7C8EL\\u002fAvCC\\u002f0Lwwv+C8QL\\u002fwvFCwAMxgsBDMcLAgzICwMMyQsEDMoLBQzLCwYMzAsHDM0LCAzOCwkMzwsKDNALCwzRCwwM0gsNDNMLDgzUCw8M1QsQDNYLEQzXCxIM2AsTDNkLFAzaCxUM2wsWDNwLFwzdCxgM3gsZDN8LGgzgCxsM4QscDOILHQzjCx4M5AsfDOULIAzmCyEM5wsiDOgLIwzpCyQMJQzrCyYMJwzsCycM7QsoDO4LKQzvCyoM8AsrDPELLAzyCy0M8wsuDPQLLwz1CzAM9gsxDPcLMgz4CzMM+Qs0DPoLNQz7CzYM\\u002fAs3DP0LOAz+CzkM\\u002fws6DAAMOwwBDDwMAgw9DAMMPgwEDD8MBQxADAYMQQwHDEIMCAxDDAkMRAwKDEUMCwxGDAwMRwwNDEgMDgxJDA8MSgwQDEsMEQxMDBIMTQwTDE4MFAxPDBUMUAwWDFEMFwxSDBgMUwwZDFQMGgxVDBsMVgwcDFcMHQxYDB4MWQwfDFoMIAxbDCEMXAwiDF0MIwxeDCQMXwwlDGAMJgxhDGIMKAxjDGQMKQxkDCoMZQwrDGYMLAxnDC0MaAwuDGkMLwxqDDAMawwxDGwMMgxtDDMMbgw0DG8MNQxwDDYMcQw3DHIMOAxzDDkMdAw6DHUMOwx2DDwMdww9DHgMPgx5DD8MegxADHsMQQx8DEIMfQxDDH4MRAx\\u002fDEUMgAxGDIEMRwyCDEgMgwxJDIQMSgyFDEsMhgxMDIcMTQyIDE4MiQxPDIoMUAyLDFEMjAxSDI0MUwyODFQMjwxVDJAMVgyRDFcMkgxYDJMMWQyUDFoMlQxbDJYMXAyXDF0MmAxeDJkMXwyaDGAMmwxhDJwMYgydDGMMngyfDGUMoAyhDGYMoQxnDKIMaAyjDGkMpAxqDKUMawymDGwMpwxtDKgMbgypDG8MqgxwDKsMcQysDHIMrQxzDK4MdAyvDHUMsAx2DLEMdwyyDHgMswx5DLQMegy1DHsMtgx8DLcMfQy4DH4MuQx\\u002fDLoMgAy7DIEMvAyCDL0Mgwy+DIQMvwyFDMAMhgzBDIcMwgyIDMMMiQzEDIoMxQyLDMYMjAzHDI0MyAyODMkMjwzKDJAMywyRDMwMkgzNDJMMzgyUDM8MlQzQDJYM0QyXDNIMmAzTDJkM1AyaDNUMmwzWDJwM1wydDNgMngzZDJ8M2gygDNsM3AyiDN0M3gyjDN4MpAzfDKUM4AymDOEMpwziDKgM4wypDOQMqgzlDKsM5gysDOcMrQzoDK4M6QyvDOoMsAzrDLEM7AyyDO0MswzuDLQM7wy1DPAMtgzxDLcM8gy4DPMMuQz0DLoM9Qy7DPYMvAz3DL0M+Ay+DPkMvwz6DMAM+wzBDPwMwgz9DMMM\\u002fgzEDP8MxQwADcYMAQ3HDAINyAwDDckMBA3KDAUNywwGDcwMBw3NDAgNzgwJDc8MCg3QDAsN0QwMDdIMDQ3TDA4N1AwPDdUMEA3WDBEN1wwSDdgMEw3ZDBQN2gwVDdsMFg3cDBcN3QwYDRkN3wwaDRsN4AwbDeEMHA3iDB0N4wweDeQMHw3lDCAN5gwhDecMIg3oDCMN6QwkDeoMJQ3rDCYN7AwnDe0MKA3uDCkN7wwqDfAMKw3xDCwN8gwtDfMMLg30DC8N9QwwDfYMMQ33DDIN+AwzDfkMNA36DDUN+ww2DfwMNw39DDgN\\u002fgw5Df8MOg0ADTsNAQ08DQINPQ0DDT4NBA0\\u002fDQUNQA0GDUENBw1CDQgNQw0JDUQNCg1FDQsNRg0MDUcNDQ1IDQ4NSQ0PDUoNEA1LDRENTA0SDU0NEw1ODRQNTw0VDVANFg1RDRcNUg0YDVMNGQ1UDRoNVQ1WDRwNVw1YDR0NWA0eDVkNHw1aDSANWw0hDVwNIg1dDSMNXg0kDV8NJQ1gDSYNYQ0nDWINKA1jDSkNZA0qDWUNKw1mDSwNZw0tDWgNLg1pDS8Nag0wDWsNMQ1sDTINbQ0zDW4NNA1vDTUNcA02DXENNw1yDTgNcw05DXQNOg11DTsNdg08DXcNPQ14DT4NeQ0\\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\\u002fQ3DDf4NxA3\\u002fDcUNAA7GDQEOxw0CDsgNAw7JDQQOyg0FDssNBg7MDQcOzQ0IDs4NCQ7PDQoO0A0LDtENDA4NDtMNDg4PDtQNDw7VDRAO1g0RDtcNEg7YDRMO2Q0UDtoNFQ7bDRYO3A0XDt0NGA7eDRkO3w0aDuANGw7hDRwO4g0dDuMNHg7kDR8O5Q0gDuYNIQ7nDSIO6A0jDukNJA7qDSUO6w0mDuwNJw7tDSgO7g0pDu8NKg7wDSsO8Q0sDvINLQ7zDS4O9A0vDvUNMA72DTEO9w0yDvgNMw75DTQO+g01DvsNNg78DTcO\\u002fQ04Dv4NOQ7\\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\\u002fDoUOwA6GDsEOhw7CDogOww7EDooOxQ7GDosOxg6MDscOjQ7IDo4OyQ6PDsoOkA7LDpEOzA6SDs0Okw7ODpQOzw6VDtAOlg7RDpcO0g6YDtMOmQ7UDpoO1Q6bDtYOnA7XDp0O2A6eDtkOnw7aDqAO2w6hDtwOog7dDqMO3g6kDt8OpQ7gDqYO4Q6nDuIOqA7jDqkO5A6qDuUOqw7mDqwO5w6tDugOrg7pDq8O6g6wDusOsQ7sDrIO7Q6zDu4OtA7vDrUO8A62DvEOtw7yDrgO8w65DvQOug71DrsO9g68DvcOvQ74Dr4O+Q6\\u002fDvoOwA77DsEO\\u002fA7CDv0Oww7+DsQO\\u002fw7FDgAPAQ\\u002fHDgIPAw\\u002fIDgMPyQ4ED8oOBQ\\u002fLDgYPzA4HD80OCA\\u002fODgkPzw4KD9AOCw\\u002fRDgwP0g4ND9MODg\\u002fUDg8P1Q4QD9YOEQ\\u002fXDhIP2A4TD9kOFA\\u002faDhUP2w4WD9wOFw\\u002fdDhgP3g4ZD98OGg\\u002fgDhsP4Q4cD+IOHQ\\u002fjDh4P5A4fD+UOIA\\u002fmDiEP5w4iD+gOIw\\u002fpDiQP6g4lD+sOJg\\u002fsDicP7Q4oD+4OKQ\\u002fvDioP8A4rD\\u002fEOLA\\u002fyDi0P8w4uD\\u002fQOLw\\u002f1DjAP9g4xD\\u002fcOMg\\u002f4DjMP+Q40D\\u002foONQ\\u002f7DjYP\\u002fA43D\\u002f0OOA\\u002f+DjkP\\u002fw46DwAPOw8BDzwPAg89Dz4PBA8\\u002fD0APBQ9ADwYPQQ8HD0IPCA9DDwkPRA8KD0UPCw9GDwwPRw8ND0gPDg9JDw8PSg8QD0sPEQ9MDxIPTQ8TD04PFA9PDxUPUA8WD1EPFw9SDxgPUw8ZD1QPGg9VDxsPVg8cD1cPHQ9YDx4PWQ8fD1oPIA9bDyEPXA8iD10PIw9eDyQPXw8lD2APJg9hDycPYg8oD2MPKQ9kDyoPZQ8rD2YPLA9nDy0PaA8uD2kPLw9qDzAPaw8xD2wPMg9tDzMPbg80D28PNQ9wDzYPcQ83D3IPOA9zDzkPdA86D3UPOw92DzwPdw89D3gPPg95Dz8Peg97D0EPfA99D0IPfQ9DD34PRA9\\u002fD0UPgA9GD4EPRw+CD0gPgw9JD4QPSg+FD0sPhg9MD4cPTQ+ID04PiQ9PD4oPUA+LD1EPjA9SD40PUw+OD1QPjw9VD5APVg+RD1cPkg9YD5MPWQ+UD1oPlQ9bD5YPXA+XD10PmA9eD5kPXw+aD2APmw9hD5wPYg+dD2MPng9kD58PZQ+gD2YPoQ9nD6IPaA+jD2kPpA9qD6UPaw+mD2wPpw9tD6gPbg+pD28Pqg9wD6sPcQ+sD3IPrQ9zD64PdA+vD3UPsA92D7EPdw+yD3gPsw95D7QPeg+1D3sPtg98D7cPuA9+D7kPug9\\u002fD7oPgA+7D4EPvA+CD70Pgw++D4QPvw+FD8APhg\\u002fBD4cPwg+ID8MPiQ\\u002fED4oPxQ+LD8YPjA\\u002fHD40PyA+OD8kPjw\\u002fKD5APyw+RD8wPkg\\u002fND5MPzg+UD88PlQ\\u002fQD5YP0Q+XD9IPmA\\u002fTD5kP1A+aD9UPmw\\u002fWD5wP1w+dD9gPng\\u002fZD58P2g+gD9sPoQ\\u002fcD6IP3Q+jD94PpA\\u002ffD6UP4A+mD+EPpw\\u002fiD6gP4w+pD+QPqg\\u002flD6sP5g+sD+cPrQ\\u002foD64P6Q+vD+oPsA\\u002frD7EP7A+yD+0Psw\\u002fuD7QP7w+1D\\u002fAPtg\\u002fxD7cP8g+4D\\u002fMPuQ\\u002f0D\\u002fUPuw\\u002f2D\\u002fcPvA\\u002f3D70P+A++D\\u002fkPvw\\u002f6D8AP+w\\u002fBD\\u002fwPwg\\u002f9D8MP\\u002fg\\u002fED\\u002f8PxQ8AEMYPARDHDwIQyA8DEMkPBBDKDwUQyw8GEMwPBxDNDwgQzg8JEM8PChDQDwsQ0Q8MENIPDRDTDw4Q1A8PENUPEBDWDxEQ1w8SENgPExDZDxQQ2g8VENsPFhDcDxcQ3Q8YEN4PGRDfDxoQ4A8bEOEPHBDiDx0Q4w8eEOQPHxDlDyAQ5g8hEOcPIhDoDyMQ6Q8kEOoPJRDrDyYQ7A8nEO0PKBDuDykQ7w8qEPAPKxDxDywQ8g8tEPMPLhD0Dy8Q9Q8wEPYPMRAyEPgPMxA0EPkPNBD6DzUQ+w82EPwPNxD9DzgQ\\u002fg85EP8POhAAEDsQARA8EAIQPRADED4QBBA\\u002fEAUQQBAGEEEQBxBCEAgQQxAJEEQQChBFEAsQRhAMEEcQDRBIEA4QSRAPEEoQEBBLEBEQTBASEE0QExBOEBQQTxAVEFAQFhBREBcQUhAYEFMQGRBUEBoQVRAbEFYQHBBXEB0QWBAeEFkQHxBaECAQWxAhEFwQIhBdECMQXhAkEF8QJRBgECYQYRAnEGIQKBBjECkQZBAqEGUQKxBmECwQZxAtEGgQLhBpEC8QahAwEGsQMRBsEDIQbRAzEG4QbxA1EHAQcRA2EHEQNxByEDgQcxA5EHQQOhB1EDsQdhA8EHcQPRB4ED4QeRA\\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\\u002fRDDEP4QxBD\\u002fEMUQABHGEAERxxACEcgQAxHJEAQRyhAFEcsQBhHMEAcRzRAIEc4QCRHPEAoR0BALEdEQDBHSEA0R0xAOEdQQDxHVEBAR1hAREdcQEhHYEBMR2RAUEdoQFRHbEBYR3BAXEd0QGBHeEBkR3xAaEeAQGxHhEBwR4hAdEeMQHhHkEB8R5RAgEeYQIRHnECIR6BAjEekQJBHqECURJhHsECcRKBHtECgR7hApEe8QKhHwECsR8RAsEfIQLRHzEC4R9BAvEfUQMBH2EDER9xAyEfgQMxH5EDQR+hA1EfsQNhH8EDcR\\u002fRA4Ef4QORH\\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\\u002fEYURwBGGEcERhxHCEYgRwxGJEcQRihHFEYsRxhGMEccRjRHIEY4RyRGPEcoRkBHLEZERzBGSEc0RkxHOEZQRzxGVEdARlhHREZcR0hGYEdMRmRHUEZoR1RGbEdYRnBHXEZ0R2BGeEdkRnxHaEaAR2xGhEdwR3RGjEd4R3xGkEd8RpRHgEaYR4RGnEeIRqBHjEakR5BGqEeURqxHmEawR5xGtEegRrhHpEa8R6hGwEesRsRHsEbIR7RGzEe4RtBHvEbUR8BG2EfERtxHyEbgR8xG5EfQRuhH1EbsR9hG8EfcRvRH4Eb4R+RG\\u002fEfoRwBH7EcER\\u002fBHCEf0RwxH+EcQR\\u002fxHFEQASxhEBEscRAhLIEQMSyREEEsoRBRLLEQYSzBEHEs0RCBLOEQkSzxEKEtARCxLREQwS0hENEtMRDhLUEQ8S1REQEtYRERLXERIS2BETEtkRFBLaERUS2xEWEtwRFxLdERgS3hEZEhoS4BEbEhwS4REcEuIRHRLjER4S5BEfEuURIBLmESES5xEiEugRIxLpESQS6hElEusRJhLsEScS7REoEu4RKRLvESoS8BErEvERLBLyES0S8xEuEvQRLxL1ETAS9hExEvcRMhL4ETMS+RE0EvoRNRL7ETYS\\u002fBE3Ev0ROBL+ETkS\\u002fxE6EgASOxIBEjwSAhI9EgMSPhIEEj8SBRJAEgYSQRIHEkISCBJDEgkSRBIKEkUSCxJGEgwSRxINEkgSDhJJEg8SShIQEksSERJMEhISTRITEk4SFBJPEhUSUBIWElESFxJSEhgSUxIZElQSGhJVEhsSVhJXEh0SWBJZEh4SWRIfEloSIBJbEiESXBIiEl0SIxJeEiQSXxIlEmASJhJhEicSYhIoEmMSKRJkEioSZRIrEmYSLBJnEi0SaBIuEmkSLxJqEjASaxIxEmwSMhJtEjMSbhI0Em8SNRJwEjYScRI3EnISOBJzEjkSdBI6EnUSOxJ2EjwSdxI9EngSPhJ5Ej8SehJAEnsSQRJ8EkISfRJDEn4SRBJ\\u002fEkUSgBJGEoESRxKCEkgSgxJJEoQSShKFEksShhJMEocSTRKIEk4SiRJPEooSUBKLElESjBJSEo0SUxKOElQSjxJVEpASVhKRElcSkhJYEpMSlBJaEpUSlhJbEpYSXBKXEl0SmBJeEpkSXxKaEmASmxJhEpwSYhKdEmMSnhJkEp8SZRKgEmYSoRJnEqISaBKjEmkSpBJqEqUSaxKmEmwSpxJtEqgSbhKpEm8SqhJwEqsScRKsEnISrRJzEq4SdBKvEnUSsBJ2ErESdxKyEngSsxJ5ErQSehK1EnsSthJ8ErcSfRK4En4SuRJ\\u002fEroSgBK7EoESvBKCEr0SgxK+EoQSvxKFEsAShhLBEocSwhKIEsMSiRLEEooSxRKLEsYSjBLHEo0SyBKOEskSjxLKEpASyxKREswSkhLNEpMSzhKUEs8SlRLQEtESlxLSEtMSmBLTEpkS1BKaEtUSmxLWEpwS1xKdEtgSnhLZEp8S2hKgEtsSoRLcEqIS3RKjEt4SpBLfEqUS4BKmEuESpxLiEqgS4xKpEuQSqhLlEqsS5hKsEucSrRLoEq4S6RKvEuoSsBLrErES7BKyEu0SsxLuErQS7xK1EvASthLxErcS8hK4EvMSuRL0EroS9RK7EvYSvBL3Er0S+BK+EvkSvxL6EsAS+xLBEvwSwhL9EsMS\\u002fhLEEv8SxRIAE8YSARPHEgITyBIDE8kSBBPKEgUTyxIGE8wSBxPNEggTzhIJE88SChPQEgsT0RIME9ISDRMOE9QSDxMQE9USEBPWEhET1xISE9gSExPZEhQT2hIVE9sSFhPcEhcT3RIYE94SGRPfEhoT4BIbE+ESHBPiEh0T4xIeE+QSHxPlEiAT5hIhE+cSIhPoEiMT6RIkE+oSJRPrEiYT7BInE+0SKBPuEikT7xIqE\\u002fASKxPxEiwT8hItE\\u002fMSLhP0Ei8T9RIwE\\u002fYSMRP3EjIT+BIzE\\u002fkSNBP6EjUT+xI2E\\u002fwSNxP9EjgT\\u002fhI5E\\u002f8SOhMAEzsTARM8EwITPRMDEz4TBBM\\u002fEwUTQBMGE0ETBxNCEwgTQxMJE0QTChNFEwsTRhMME0cTDRNIEw4TSRMPE0oTSxM=\"},\"k\":{\"dtype\":\"i2\",\"bdata\":\"PQB5AHkAPgA+AD8APwBAAEAAQQBBAEIAQgBDAEMARABEAEUARQBGAEYARwBHAEgASABJAEkASgBKAEsASwBMAEwATQBNAE4ATgBPAE8AUABQAFEAUQBSAFIAUwBTAFQAVABVAFUAVgBWAFcAVwBYAFgAWQBZAFoAWgBbAFsAXABcAF0AXQBeAF4AXwBfAGAAYABhAGEAYgBiAGMAYwBkAGQAZQBlAGYAZgBnAGcAaABoAGkAaQBqAGoAawBrAGwAbABtAG0AbgBuAG8AbwBwAHAAcQBxAHIAcgBzAHMAdAB0AHUAdQB2AHYAdwB3AHgAeAB5AHoAtgC2AHsAewB8AHwAfQB9AH4AfgB\\u002fAH8AgACAAIEAgQCCAIIAgwCDAIQAhACFAIUAhgCGAIcAhwCIAIgAiQCJAIoAigCLAIsAjACMAI0AjQCOAI4AjwCPAJAAkACRAJEAkgCSAJMAkwCUAJQAlQCVAJYAlgCXAJcAmACYAJkAmQCaAJoAmwCbAJwAnACdAJ0AngCeAJ8AnwCgAKAAoQChAKIAogCjAKMApACkAKUApQCmAKYApwCnAKgAqACpAKkAqgCqAKsAqwCsAKwArQCtAK4ArgCvAK8AsACwALEAsQCyALIAswCzALQAtAC1ALUAtgC3APMA8wC4ALgAuQC5ALoAugC7ALsAvAC8AL0AvQC+AL4AvwC\\u002fAMAAwADBAMEAwgDCAMMAwwDEAMQAxQDFAMYAxgDHAMcAyADIAMkAyQDKAMoAywDLAMwAzADNAM0AzgDOAM8AzwDQANAA0QDRANIA0gDTANMA1ADUANUA1QDWANYA1wDXANgA2ADZANkA2gDaANsA2wDcANwA3QDdAN4A3gDfAN8A4ADgAOEA4QDiAOIA4wDjAOQA5ADlAOUA5gDmAOcA5wDoAOgA6QDpAOoA6gDrAOsA7ADsAO0A7QDuAO4A7wDvAPAA8ADxAPEA8gDyAPMA9AAwATAB9QD1APYA9gD3APcA+AD4APkA+QD6APoA+wD7APwA\\u002fAD9AP0A\\u002fgD+AP8A\\u002fwAAAQABAQEBAQIBAgEDAQMBBAEEAQUBBQEGAQYBBwEHAQgBCAEJAQkBCgEKAQsBCwEMAQwBDQENAQ4BDgEPAQ8BEAEQAREBEQESARIBEwETARQBFAEVARUBFgEWARcBFwEYARgBGQEZARoBGgEbARsBHAEcAR0BHQEeAR4BHwEfASABIAEhASEBIgEiASMBIwEkASQBJQElASYBJgEnAScBKAEoASkBKQEqASoBKwErASwBLAEtAS0BLgEuAS8BLwEwATEBbQFtATIBMgEzATMBNAE0ATUBNQE2ATYBNwE3ATgBOAE5ATkBOgE6ATsBOwE8ATwBPQE9AT4BPgE\\u002fAT8BQAFAAUEBQQFCAUIBQwFDAUQBRAFFAUUBRgFGAUcBRwFIAUgBSQFJAUoBSgFLAUsBTAFMAU0BTQFOAU4BTwFPAVABUAFRAVEBUgFSAVMBUwFUAVQBVQFVAVYBVgFXAVcBWAFYAVkBWQFaAVoBWwFbAVwBXAFdAV0BXgFeAV8BXwFgAWABYQFhAWIBYgFjAWMBZAFkAWUBZQFmAWYBZwFnAWgBaAFpAWkBagFqAWsBawFsAWwBbQFuAaoBqgFvAW8BcAFwAXEBcQFyAXIBcwFzAXQBdAF1AXUBdgF2AXcBdwF4AXgBeQF5AXoBegF7AXsBfAF8AX0BfQF+AX4BfwF\\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\\u002fQH9Af4B\\u002fgH\\u002fAf8BAAIAAgECAQICAgICAwIDAgQCBAIFAgUCBgIGAgcCBwIIAggCCQIJAgoCCgILAgsCDAIMAg0CDQIOAg4CDwIPAhACEAIRAhECEgISAhMCEwIUAhQCFQIVAhYCFgIXAhcCGAIYAhkCGQIaAhoCGwIbAhwCHAIdAh0CHgIeAh8CHwIgAiACIQIhAiICIgIjAiMCJAIlAmECYQImAiYCJwInAigCKAIpAikCKgIqAisCKwIsAiwCLQItAi4CLgIvAi8CMAIwAjECMQIyAjICMwIzAjQCNAI1AjUCNgI2AjcCNwI4AjgCOQI5AjoCOgI7AjsCPAI8Aj0CPQI+Aj4CPwI\\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\\u002fAr8CwALAAsECwQLCAsICwwLDAsQCxALFAsUCxgLGAscCxwLIAsgCyQLJAsoCygLLAssCzALMAs0CzQLOAs4CzwLPAtAC0ALRAtEC0gLSAtMC0wLUAtQC1QLVAtYC1gLXAtcC2ALYAtkC2QLaAtoC2wLcAhgDGAPdAt0C3gLeAt8C3wLgAuAC4QLhAuIC4gLjAuMC5ALkAuUC5QLmAuYC5wLnAugC6ALpAukC6gLqAusC6wLsAuwC7QLtAu4C7gLvAu8C8ALwAvEC8QLyAvIC8wLzAvQC9AL1AvUC9gL2AvcC9wL4AvgC+QL5AvoC+gL7AvsC\\u002fAL8Av0C\\u002fQL+Av4C\\u002fwL\\u002fAgADAAMBAwEDAgMCAwMDAwMEAwQDBQMFAwYDBgMHAwcDCAMIAwkDCQMKAwoDCwMLAwwDDAMNAw0DDgMOAw8DDwMQAxADEQMRAxIDEgMTAxMDFAMUAxUDFQMWAxYDFwMXAxgDGQNVA1UDGgMaAxsDGwMcAxwDHQMdAx4DHgMfAx8DIAMgAyEDIQMiAyIDIwMjAyQDJAMlAyUDJgMmAycDJwMoAygDKQMpAyoDKgMrAysDLAMsAy0DLQMuAy4DLwMvAzADMAMxAzEDMgMyAzMDMwM0AzQDNQM1AzYDNgM3AzcDOAM4AzkDOQM6AzoDOwM7AzwDPAM9Az0DPgM+Az8DPwNAA0ADQQNBA0IDQgNDA0MDRANEA0UDRQNGA0YDRwNHA0gDSANJA0kDSgNKA0sDSwNMA0wDTQNNA04DTgNPA08DUANQA1EDUQNSA1IDUwNTA1QDVANVA1YDkgOSA1cDVwNYA1gDWQNZA1oDWgNbA1sDXANcA10DXQNeA14DXwNfA2ADYANhA2EDYgNiA2MDYwNkA2QDZQNlA2YDZgNnA2cDaANoA2kDaQNqA2oDawNrA2wDbANtA20DbgNuA28DbwNwA3ADcQNxA3IDcgNzA3MDdAN0A3UDdQN2A3YDdwN3A3gDeAN5A3kDegN6A3sDewN8A3wDfQN9A34DfgN\\u002fA38DgAOAA4EDgQOCA4IDgwODA4QDhAOFA4UDhgOGA4cDhwOIA4gDiQOJA4oDigOLA4sDjAOMA40DjQOOA44DjwOPA5ADkAORA5EDkgOTA88DzwOUA5QDlQOVA5YDlgOXA5cDmAOYA5kDmQOaA5oDmwObA5wDnAOdA50DngOeA58DnwOgA6ADoQOhA6IDogOjA6MDpAOkA6UDpQOmA6YDpwOnA6gDqAOpA6kDqgOqA6sDqwOsA6wDrQOtA64DrgOvA68DsAOwA7EDsQOyA7IDswOzA7QDtAO1A7UDtgO2A7cDtwO4A7gDuQO5A7oDugO7A7sDvAO8A70DvQO+A74DvwO\\u002fA8ADwAPBA8EDwgPCA8MDwwPEA8QDxQPFA8YDxgPHA8cDyAPIA8kDyQPKA8oDywPLA8wDzAPNA80DzgPOA88D0AMMBAwE0QPRA9ID0gPTA9MD1APUA9UD1QPWA9YD1wPXA9gD2APZA9kD2gPaA9sD2wPcA9wD3QPdA94D3gPfA98D4APgA+ED4QPiA+ID4wPjA+QD5APlA+UD5gPmA+cD5wPoA+gD6QPpA+oD6gPrA+sD7APsA+0D7QPuA+4D7wPvA\\u002fAD8APxA\\u002fED8gPyA\\u002fMD8wP0A\\u002fQD9QP1A\\u002fYD9gP3A\\u002fcD+AP4A\\u002fkD+QP6A\\u002foD+wP7A\\u002fwD\\u002fAP9A\\u002f0D\\u002fgP+A\\u002f8D\\u002fwMABAAEAQQBBAIEAgQDBAMEBAQEBAUEBQQGBAYEBwQHBAgECAQJBAkECgQKBAsECwQMBA0ESQRJBA4EDgQPBA8EEAQQBBEEEQQSBBIEEwQTBBQEFAQVBBUEFgQWBBcEFwQYBBgEGQQZBBoEGgQbBBsEHAQcBB0EHQQeBB4EHwQfBCAEIAQhBCEEIgQiBCMEIwQkBCQEJQQlBCYEJgQnBCcEKAQoBCkEKQQqBCoEKwQrBCwELAQtBC0ELgQuBC8ELwQwBDAEMQQxBDIEMgQzBDMENAQ0BDUENQQ2BDYENwQ3BDgEOAQ5BDkEOgQ6BDsEOwQ8BDwEPQQ9BD4EPgQ\\u002fBD8EQARABEEEQQRCBEIEQwRDBEQERARFBEUERgRGBEcERwRIBEgESQRKBIYEhgRLBEsETARMBE0ETQROBE4ETwRPBFAEUARRBFEEUgRSBFMEUwRUBFQEVQRVBFYEVgRXBFcEWARYBFkEWQRaBFoEWwRbBFwEXARdBF0EXgReBF8EXwRgBGAEYQRhBGIEYgRjBGMEZARkBGUEZQRmBGYEZwRnBGgEaARpBGkEagRqBGsEawRsBGwEbQRtBG4EbgRvBG8EcARwBHEEcQRyBHIEcwRzBHQEdAR1BHUEdgR2BHcEdwR4BHgEeQR5BHoEegR7BHsEfAR8BH0EfQR+BH4EfwR\\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\\u002fQT9BP4E\\u002fgT\\u002fBP8EAAUBBT0FPQUCBQIFAwUDBQQFBAUFBQUFBgUGBQcFBwUIBQgFCQUJBQoFCgULBQsFDAUMBQ0FDQUOBQ4FDwUPBRAFEAURBREFEgUSBRMFEwUUBRQFFQUVBRYFFgUXBRcFGAUYBRkFGQUaBRoFGwUbBRwFHAUdBR0FHgUeBR8FHwUgBSAFIQUhBSIFIgUjBSMFJAUkBSUFJQUmBSYFJwUnBSgFKAUpBSkFKgUqBSsFKwUsBSwFLQUtBS4FLgUvBS8FMAUwBTEFMQUyBTIFMwUzBTQFNAU1BTUFNgU2BTcFNwU4BTgFOQU5BToFOgU7BTsFPAU8BT0FPgV6BXoFPwU\\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\\u002fBb8FwAXABcEFwQXCBcIFwwXDBcQFxAXFBcUFxgXGBccFxwXIBcgFyQXJBcoFygXLBcsFzAXMBc0FzQXOBc4FzwXPBdAF0AXRBdEF0gXSBdMF0wXUBdQF1QXVBdYF1gXXBdcF2AXYBdkF2QXaBdoF2wXbBdwF3AXdBd0F3gXeBd8F3wXgBeAF4QXhBeIF4gXjBeMF5AXkBeUF5QXmBeYF5wXnBegF6AXpBekF6gXqBesF6wXsBewF7QXtBe4F7gXvBe8F8AXwBfEF8QXyBfIF8wXzBfQF9QUxBjEG9gX2BfcF9wX4BfgF+QX5BfoF+gX7BfsF\\u002fAX8Bf0F\\u002fQX+Bf4F\\u002fwX\\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\\u002fBn8GgAaABoEGgQaCBoIGgwaDBoQGhAaFBoUGhgaGBocGhwaIBogGiQaJBooGigaLBosGjAaMBo0GjQaOBo4GjwaPBpAGkAaRBpEGkgaSBpMGkwaUBpQGlQaVBpYGlgaXBpcGmAaYBpkGmQaaBpoGmwabBpwGnAadBp0GngaeBp8GnwagBqAGoQahBqIGogajBqMGpAakBqUGpQamBqYGpwanBqgGqAapBqkGqgaqBqsGrAboBugGrQatBq4GrgavBq8GsAawBrEGsQayBrIGswazBrQGtAa1BrUGtga2BrcGtwa4BrgGuQa5BroGuga7BrsGvAa8Br0GvQa+Br4Gvwa\\u002fBsAGwAbBBsEGwgbCBsMGwwbEBsQGxQbFBsYGxgbHBscGyAbIBskGyQbKBsoGywbLBswGzAbNBs0GzgbOBs8GzwbQBtAG0QbRBtIG0gbTBtMG1AbUBtUG1QbWBtYG1wbXBtgG2AbZBtkG2gbaBtsG2wbcBtwG3QbdBt4G3gbfBt8G4AbgBuEG4QbiBuIG4wbjBuQG5AblBuUG5gbmBucG5wboBukGJQclB+oG6gbrBusG7AbsBu0G7QbuBu4G7wbvBvAG8AbxBvEG8gbyBvMG8wb0BvQG9Qb1BvYG9gb3BvcG+Ab4BvkG+Qb6BvoG+wb7BvwG\\u002fAb9Bv0G\\u002fgb+Bv8G\\u002fwYABwAHAQcBBwIHAgcDBwMHBAcEBwUHBQcGBwYHBwcHBwgHCAcJBwkHCgcKBwsHCwcMBwwHDQcNBw4HDgcPBw8HEAcQBxEHEQcSBxIHEwcTBxQHFAcVBxUHFgcWBxcHFwcYBxgHGQcZBxoHGgcbBxsHHAccBx0HHQceBx4HHwcfByAHIAchByEHIgciByMHIwckByQHJQcmB2IHYgcnBycHKAcoBykHKQcqByoHKwcrBywHLActBy0HLgcuBy8HLwcwBzAHMQcxBzIHMgczBzMHNAc0BzUHNQc2BzYHNwc3BzgHOAc5BzkHOgc6BzsHOwc8BzwHPQc9Bz4HPgc\\u002fBz8HQAdAB0EHQQdCB0IHQwdDB0QHRAdFB0UHRgdGB0cHRwdIB0gHSQdJB0oHSgdLB0sHTAdMB00HTQdOB04HTwdPB1AHUAdRB1EHUgdSB1MHUwdUB1QHVQdVB1YHVgdXB1cHWAdYB1kHWQdaB1oHWwdbB1wHXAddB10HXgdeB18HXwdgB2AHYQdhB2IHYwefB58HZAdkB2UHZQdmB2YHZwdnB2gHaAdpB2kHagdqB2sHawdsB2wHbQdtB24HbgdvB28HcAdwB3EHcQdyB3IHcwdzB3QHdAd1B3UHdgd2B3cHdwd4B3gHeQd5B3oHegd7B3sHfAd8B30HfQd+B34Hfwd\\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\\u002fAH8QfxB\\u002fIH8gfzB\\u002fMH9Af0B\\u002fUH9Qf2B\\u002fYH9wf3B\\u002fgH+Af5B\\u002fkH+gf6B\\u002fsH+wf8B\\u002fwH\\u002fQf9B\\u002f4H\\u002fgf\\u002fB\\u002f8HAAgACAEIAQgCCAIIAwgDCAQIBAgFCAUIBggGCAcIBwgICAgICQgJCAoICggLCAsIDAgMCA0IDQgOCA4IDwgPCBAIEAgRCBEIEggSCBMIEwgUCBQIFQgVCBYIFggXCBcIGAgYCBkIGghWCFYIGwgbCBwIHAgdCB0IHggeCB8IHwggCCAIIQghCCIIIggjCCMIJAgkCCUIJQgmCCYIJwgnCCgIKAgpCCkIKggqCCsIKwgsCCwILQgtCC4ILggvCC8IMAgwCDEIMQgyCDIIMwgzCDQINAg1CDUINgg2CDcINwg4CDgIOQg5CDoIOgg7CDsIPAg8CD0IPQg+CD4IPwg\\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\\u002fCL8IwAjACMEIwQjCCMIIwwjDCMQIxAjFCMUIxgjGCMcIxwjICMgIyQjJCMoIygjLCMsIzAjMCM0IzQjOCM4IzwjPCNAI0QgNCQ0J0gjSCNMI0wjUCNQI1QjVCNYI1gjXCNcI2AjYCNkI2QjaCNoI2wjbCNwI3AjdCN0I3gjeCN8I3wjgCOAI4QjhCOII4gjjCOMI5AjkCOUI5QjmCOYI5wjnCOgI6AjpCOkI6gjqCOsI6wjsCOwI7QjtCO4I7gjvCO8I8AjwCPEI8QjyCPII8wjzCPQI9Aj1CPUI9gj2CPcI9wj4CPgI+Qj5CPoI+gj7CPsI\\u002fAj8CP0I\\u002fQj+CP4I\\u002fwj\\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\\u002fCX8JgAmACYEJgQmCCYIJgwmDCYQJhAmFCYUJhgmGCYcJiAnECcQJiQmJCYoJigmLCYsJjAmMCY0JjQmOCY4JjwmPCZAJkAmRCZEJkgmSCZMJkwmUCZQJlQmVCZYJlgmXCZcJmAmYCZkJmQmaCZoJmwmbCZwJnAmdCZ0JngmeCZ8JnwmgCaAJoQmhCaIJogmjCaMJpAmkCaUJpQmmCaYJpwmnCagJqAmpCakJqgmqCasJqwmsCawJrQmtCa4JrgmvCa8JsAmwCbEJsQmyCbIJswmzCbQJtAm1CbUJtgm2CbcJtwm4CbgJuQm5CboJugm7CbsJvAm8Cb0JvQm+Cb4Jvwm\\u002fCcAJwAnBCcEJwgnCCcMJwwnECcUJAQoBCsYJxgnHCccJyAnICckJyQnKCcoJywnLCcwJzAnNCc0JzgnOCc8JzwnQCdAJ0QnRCdIJ0gnTCdMJ1AnUCdUJ1QnWCdYJ1wnXCdgJ2AnZCdkJ2gnaCdsJ2wncCdwJ3QndCd4J3gnfCd8J4AngCeEJ4QniCeIJ4wnjCeQJ5AnlCeUJ5gnmCecJ5wnoCegJ6QnpCeoJ6gnrCesJ7AnsCe0J7QnuCe4J7wnvCfAJ8AnxCfEJ8gnyCfMJ8wn0CfQJ9Qn1CfYJ9gn3CfcJ+An4CfkJ+Qn6CfoJ+wn7CfwJ\\u002fAn9Cf0J\\u002fgn+Cf8J\\u002fwkACgAKAQoCCj4KPgoDCgMKBAoECgUKBQoGCgYKBwoHCggKCAoJCgkKCgoKCgsKCwoMCgwKDQoNCg4KDgoPCg8KEAoQChEKEQoSChIKEwoTChQKFAoVChUKFgoWChcKFwoYChgKGQoZChoKGgobChsKHAocCh0KHQoeCh4KHwofCiAKIAohCiEKIgoiCiMKIwokCiQKJQolCiYKJgonCicKKAooCikKKQoqCioKKworCiwKLAotCi0KLgouCi8KLwowCjAKMQoxCjIKMgozCjMKNAo0CjUKNQo2CjYKNwo3CjgKOAo5CjkKOgo6CjsKOwo8CjwKPQo9Cj4KPwp7CnsKQApACkEKQQpCCkIKQwpDCkQKRApFCkUKRgpGCkcKRwpICkgKSQpJCkoKSgpLCksKTApMCk0KTQpOCk4KTwpPClAKUApRClEKUgpSClMKUwpUClQKVQpVClYKVgpXClcKWApYClkKWQpaCloKWwpbClwKXApdCl0KXgpeCl8KXwpgCmAKYQphCmIKYgpjCmMKZApkCmUKZQpmCmYKZwpnCmgKaAppCmkKagpqCmsKawpsCmwKbQptCm4KbgpvCm8KcApwCnEKcQpyCnIKcwpzCnQKdAp1CnUKdgp2CncKdwp4CngKeQp5CnoKegp7CnwKuAq4Cn0KfQp+Cn4Kfwp\\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\\u002fQr9Cv4K\\u002fgr\\u002fCv8KAAsACwELAQsCCwILAwsDCwQLBAsFCwULBgsGCwcLBwsICwgLCQsJCwoLCgsLCwsLDAsMCw0LDQsOCw4LDwsPCxALEAsRCxELEgsSCxMLEwsUCxQLFQsVCxYLFgsXCxcLGAsYCxkLGQsaCxoLGwsbCxwLHAsdCx0LHgseCx8LHwsgCyALIQshCyILIgsjCyMLJAskCyULJQsmCyYLJwsnCygLKAspCykLKgsqCysLKwssCywLLQstCy4LLgsvCy8LMAswCzELMQsyCzMLbwtvCzQLNAs1CzULNgs2CzcLNws4CzgLOQs5CzoLOgs7CzsLPAs8Cz0LPQs+Cz4LPws\\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\\u002fC78LwAvAC8ELwQvCC8ILwwvDC8QLxAvFC8ULxgvGC8cLxwvIC8gLyQvJC8oLygvLC8sLzAvMC80LzQvOC84LzwvPC9AL0AvRC9EL0gvSC9ML0wvUC9QL1QvVC9YL1gvXC9cL2AvYC9kL2QvaC9oL2wvbC9wL3AvdC90L3gveC98L3wvgC+AL4QvhC+IL4gvjC+ML5AvkC+UL5QvmC+YL5wvnC+gL6AvpC+oLJgwmDOsL6wvsC+wL7QvtC+4L7gvvC+8L8AvwC\\u002fEL8QvyC\\u002fIL8wvzC\\u002fQL9Av1C\\u002fUL9gv2C\\u002fcL9wv4C\\u002fgL+Qv5C\\u002foL+gv7C\\u002fsL\\u002fAv8C\\u002f0L\\u002fQv+C\\u002f4L\\u002fwv\\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\\u002fDH8MgAyADIEMgQyCDIIMgwyDDIQMhAyFDIUMhgyGDIcMhwyIDIgMiQyJDIoMigyLDIsMjAyMDI0MjQyODI4MjwyPDJAMkAyRDJEMkgySDJMMkwyUDJQMlQyVDJYMlgyXDJcMmAyYDJkMmQyaDJoMmwybDJwMnAydDJ0MngyeDJ8MnwygDKEM3QzdDKIMogyjDKMMpAykDKUMpQymDKYMpwynDKgMqAypDKkMqgyqDKsMqwysDKwMrQytDK4MrgyvDK8MsAywDLEMsQyyDLIMswyzDLQMtAy1DLUMtgy2DLcMtwy4DLgMuQy5DLoMugy7DLsMvAy8DL0MvQy+DL4Mvwy\\u002fDMAMwAzBDMEMwgzCDMMMwwzEDMQMxQzFDMYMxgzHDMcMyAzIDMkMyQzKDMoMywzLDMwMzAzNDM0MzgzODM8MzwzQDNAM0QzRDNIM0gzTDNMM1AzUDNUM1QzWDNYM1wzXDNgM2AzZDNkM2gzaDNsM2wzcDNwM3QzeDBoNGg3fDN8M4AzgDOEM4QziDOIM4wzjDOQM5AzlDOUM5gzmDOcM5wzoDOgM6QzpDOoM6gzrDOsM7AzsDO0M7QzuDO4M7wzvDPAM8AzxDPEM8gzyDPMM8wz0DPQM9Qz1DPYM9gz3DPcM+Az4DPkM+Qz6DPoM+wz7DPwM\\u002fAz9DP0M\\u002fgz+DP8M\\u002fwwADQANAQ0BDQINAg0DDQMNBA0EDQUNBQ0GDQYNBw0HDQgNCA0JDQkNCg0KDQsNCw0MDQwNDQ0NDQ4NDg0PDQ8NEA0QDRENEQ0SDRINEw0TDRQNFA0VDRUNFg0WDRcNFw0YDRgNGQ0ZDRoNGw1XDVcNHA0cDR0NHQ0eDR4NHw0fDSANIA0hDSENIg0iDSMNIw0kDSQNJQ0lDSYNJg0nDScNKA0oDSkNKQ0qDSoNKw0rDSwNLA0tDS0NLg0uDS8NLw0wDTANMQ0xDTINMg0zDTMNNA00DTUNNQ02DTYNNw03DTgNOA05DTkNOg06DTsNOw08DTwNPQ09DT4NPg0\\u002fDT8NQA1ADUENQQ1CDUINQw1DDUQNRA1FDUUNRg1GDUcNRw1IDUgNSQ1JDUoNSg1LDUsNTA1MDU0NTQ1ODU4NTw1PDVANUA1RDVENUg1SDVMNUw1UDVQNVQ1VDVYNVg1XDVgNlA2UDVkNWQ1aDVoNWw1bDVwNXA1dDV0NXg1eDV8NXw1gDWANYQ1hDWINYg1jDWMNZA1kDWUNZQ1mDWYNZw1nDWgNaA1pDWkNag1qDWsNaw1sDWwNbQ1tDW4Nbg1vDW8NcA1wDXENcQ1yDXINcw1zDXQNdA11DXUNdg12DXcNdw14DXgNeQ15DXoNeg17DXsNfA18DX0NfQ1+DX4Nfw1\\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\\u002fQ39Df4N\\u002fg3\\u002fDf8NAA4ADgEOAQ4CDgIOAw4DDgQOBA4FDgUOBg4GDgcOBw4IDggOCQ4JDgoOCg4LDgsODA4MDg0ODQ4ODg8OSw5LDhAOEA4RDhEOEg4SDhMOEw4UDhQOFQ4VDhYOFg4XDhcOGA4YDhkOGQ4aDhoOGw4bDhwOHA4dDh0OHg4eDh8OHw4gDiAOIQ4hDiIOIg4jDiMOJA4kDiUOJQ4mDiYOJw4nDigOKA4pDikOKg4qDisOKw4sDiwOLQ4tDi4OLg4vDi8OMA4wDjEOMQ4yDjIOMw4zDjQONA41DjUONg42DjcONw44DjgOOQ45DjoOOg47DjsOPA48Dj0OPQ4+Dj4OPw4\\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\\u002fDr8OwA7ADsEOwQ7CDsIOww7DDsQOxA7FDsYOAg8CD8cOxw7IDsgOyQ7JDsoOyg7LDssOzA7MDs0OzQ7ODs4Ozw7PDtAO0A7RDtEO0g7SDtMO0w7UDtQO1Q7VDtYO1g7XDtcO2A7YDtkO2Q7aDtoO2w7bDtwO3A7dDt0O3g7eDt8O3w7gDuAO4Q7hDuIO4g7jDuMO5A7kDuUO5Q7mDuYO5w7nDugO6A7pDukO6g7qDusO6w7sDuwO7Q7tDu4O7g7vDu8O8A7wDvEO8Q7yDvIO8w7zDvQO9A71DvUO9g72DvcO9w74DvgO+Q75DvoO+g77DvsO\\u002fA78Dv0O\\u002fQ7+Dv4O\\u002fw7\\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\\u002fD38PgA+AD4EPgQ+CD4IPgw+DD4QPhA+FD4UPhg+GD4cPhw+ID4gPiQ+JD4oPig+LD4sPjA+MD40PjQ+OD44Pjw+PD5APkA+RD5EPkg+SD5MPkw+UD5QPlQ+VD5YPlg+XD5cPmA+YD5kPmQ+aD5oPmw+bD5wPnA+dD50Png+eD58Pnw+gD6APoQ+hD6IPog+jD6MPpA+kD6UPpQ+mD6YPpw+nD6gPqA+pD6kPqg+qD6sPqw+sD6wPrQ+tD64Prg+vD68PsA+wD7EPsQ+yD7IPsw+zD7QPtA+1D7UPtg+2D7cPtw+4D7gPuQ+6D\\u002fYP9g+7D7sPvA+8D70PvQ++D74Pvw+\\u002fD8APwA\\u002fBD8EPwg\\u002fCD8MPww\\u002fED8QPxQ\\u002fFD8YPxg\\u002fHD8cPyA\\u002fID8kPyQ\\u002fKD8oPyw\\u002fLD8wPzA\\u002fND80Pzg\\u002fOD88Pzw\\u002fQD9AP0Q\\u002fRD9IP0g\\u002fTD9MP1A\\u002fUD9UP1Q\\u002fWD9YP1w\\u002fXD9gP2A\\u002fZD9kP2g\\u002faD9sP2w\\u002fcD9wP3Q\\u002fdD94P3g\\u002ffD98P4A\\u002fgD+EP4Q\\u002fiD+IP4w\\u002fjD+QP5A\\u002flD+UP5g\\u002fmD+cP5w\\u002foD+gP6Q\\u002fpD+oP6g\\u002frD+sP7A\\u002fsD+0P7Q\\u002fuD+4P7w\\u002fvD\\u002fAP8A\\u002fxD\\u002fEP8g\\u002fyD\\u002fMP8w\\u002f0D\\u002fQP9Q\\u002f1D\\u002fYP9w8zEDMQ+A\\u002f4D\\u002fkP+Q\\u002f6D\\u002foP+w\\u002f7D\\u002fwP\\u002fA\\u002f9D\\u002f0P\\u002fg\\u002f+D\\u002f8P\\u002fw8AEAAQARABEAIQAhADEAMQBBAEEAUQBRAGEAYQBxAHEAgQCBAJEAkQChAKEAsQCxAMEAwQDRANEA4QDhAPEA8QEBAQEBEQERASEBIQExATEBQQFBAVEBUQFhAWEBcQFxAYEBgQGRAZEBoQGhAbEBsQHBAcEB0QHRAeEB4QHxAfECAQIBAhECEQIhAiECMQIxAkECQQJRAlECYQJhAnECcQKBAoECkQKRAqECoQKxArECwQLBAtEC0QLhAuEC8QLxAwEDAQMRAxEDIQMhAzEDQQcBBwEDUQNRA2EDYQNxA3EDgQOBA5EDkQOhA6EDsQOxA8EDwQPRA9ED4QPhA\\u002fED8QQBBAEEEQQRBCEEIQQxBDEEQQRBBFEEUQRhBGEEcQRxBIEEgQSRBJEEoQShBLEEsQTBBMEE0QTRBOEE4QTxBPEFAQUBBREFEQUhBSEFMQUxBUEFQQVRBVEFYQVhBXEFcQWBBYEFkQWRBaEFoQWxBbEFwQXBBdEF0QXhBeEF8QXxBgEGAQYRBhEGIQYhBjEGMQZBBkEGUQZRBmEGYQZxBnEGgQaBBpEGkQahBqEGsQaxBsEGwQbRBtEG4QbhBvEG8QcBBxEK0QrRByEHIQcxBzEHQQdBB1EHUQdhB2EHcQdxB4EHgQeRB5EHoQehB7EHsQfBB8EH0QfRB+EH4QfxB\\u002fEIAQgBCBEIEQghCCEIMQgxCEEIQQhRCFEIYQhhCHEIcQiBCIEIkQiRCKEIoQixCLEIwQjBCNEI0QjhCOEI8QjxCQEJAQkRCREJI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ROkUzb8m3iOFItrVv+cSSJ6GLd2\\u002fiXlks8o+4r+E6rhg7N7lvySlyktwbem\\u002ftLbmGXjc7L\\u002fO136n4Azwv8wjeZ2Xh\\u002fG\\u002fMObYASjS8r+ZXrPiWeDzv0qKJFBKp\\u002fS\\u002fU35saZse9b9fpRMTTEH1vwjVaIgnDvW\\u002fyU10i9SH9L+d38pdj7TzvwYjrJuSnfK\\u002fLcjVSDBO8b81EIAkUaXvvxOdzZTMbey\\u002f\\u002fc\\u002f51sIK6b8hRoiCzYzlv35caOXC\\u002f+G\\u002fA3AkM0zW3L+r2wWUIKbVv069J6\\u002fI5My\\u002fRprueLztvL86byhbY5ysvIcI6PNfBr0\\u002faQZpROkUzT8k3iOFItrVP+ESSJ6GLd0\\u002fg3lks8o+4j+C6rhg7N7lPyGlyktwbek\\u002fr7bmGXjc7D\\u002fO136n4AzwP8sjeZ2Xh\\u002fE\\u002fLubYASjS8j+ZXrPiWeDzP0qKJFBKp\\u002fQ\\u002fUn5saZse9T9fpRMTTEH1P6IGXqLgOfU\\u002fGYfdKXb+9D\\u002f7NH2\\u002frnD0PzdAf21jl\\u002fM\\u002fX6B1IDl88j\\u002f+xMScsyrxP+ZWyoIiXu8\\u002f7HYoPyQq7D+th77wyM3oPwXd5erlWOU\\u002fWoRM7GbW4T+0hAJwm5ncPx5v9DBjftU\\u002fShVlDGG5zD8E7\\u002fbQXs28P1J\\u002f02qHBZM8t7krOX3+vL\\u002fkhPnKWhnNvxFr6xUn5tW\\u002fjmafb8FH3b9Wf\\u002f+EVVTiv4AUsK0a\\u002feW\\u002fRWfLgEOT6b+os+A1zgftv9N7czbFI\\u002fC\\u002ffnCC2tud8b\\u002fLqL6ayeXyv8gHnPxb7\\u002fO\\u002fAiLTmuqv9L++sR4Hix\\u002f1v6IGXqLgOfW\\u002fGYfdKXb+9L\\u002f7NH2\\u002frnD0vzhAf21jl\\u002fO\\u002fYKB1IDl88r\\u002f\\u002fxMScsyrxv+ZWyoIiXu+\\u002f7nYoPyQq7L+vh77wyM3ovwbd5erlWOW\\u002fXYRM7GbW4b\\u002fAhAJwm5ncvyBv9DBjftW\\u002fVRVlDGG5zL8v7\\u002fbQXs28v\\u002fs+PSBLiKy8nLkrOX3+vD\\u002fNhPnKWhnNPw5r6xUn5tU\\u002fh2afb8FH3T9Rf\\u002f+EVVTiP38UsK0a\\u002feU\\u002fRGfLgEOT6T+ks+A1zgftP9N7czbFI\\u002fA\\u002ffXCC2tud8T\\u002fJqL6ayeXyP8gHnPxb7\\u002fM\\u002fAiLTmuqv9D++sR4Hix\\u002f1P6IGXqLgOfU\\u002fFMSVG2st9T\\u002f18VKIlun0P9flNNBNVPQ\\u002fKJarqQp18z+9eiJZ2lXyP1vj1wVsAvE\\u002fuVQRsOgN7z8hzA2dBN7rP2HgMJDwiOg\\u002fSRmKpcMd5T\\u002fKCIERjabhP1PDaaG6Udw\\u002fvwHvHatN1T+qp\\u002fxjT4HMP7uFK+LQn7w\\u002fA7+HDkLvkjylP6P4HOm8v8u7CLyZEM2\\u002ffOxH0bXo1b9cEwnyMlbdv4TYrAghY+K\\u002fmIeROPoT5r9mtDs6crHpv6yW8KdKK+2\\u002fCs5+gqY28L+JDQE9ArDxv19A05wq9fK\\u002f3qBCqPH587\\u002f+dUPL6rP0v8k55lOjG\\u002fW\\u002fFMSVG2st9b\\u002f28VKIlun0v9jlNNBNVPS\\u002fKZarqQp187+\\u002feiJZ2lXyv1vj1wVsAvG\\u002fuVQRsOgN778lzA2dBN7rv2PgMJDwiOi\\u002fSxmKpcMd5b\\u002fNCIERjabhv17DaaG6Udy\\u002fwQHvHatN1b+3p\\u002fxjT4HMv+SFK+LQn7y\\u002fhJ7LFeNmrLyKP6P4HOm8P7W7CLyZEM0\\u002feuxH0bXo1T9YEwnyMlbdP3\\u002fYrAghY+I\\u002floeROPoT5j9ltDs6crHpP6eW8KdKK+0\\u002fCs5+gqY28D+IDQE9ArDxP15A05wq9fI\\u002f3qBCqPH58z\\u002f+dUPL6rP0P8k55lOjG\\u002fU\\u002fFMSVG2st9T9r0NJPzhv1P9UaoRJaz\\u002fQ\\u002fxAEXlXYy9D\\u002fbdWEzRU3zPz7d9Dg6KvI\\u002fLMjh6SfV8D8uHKo1XLTuP5vdpMpCies\\u002f73\\u002fdByg86D8lfBRkaNvkPyL+wVZDcOE\\u002ftIYYGdD+2z\\u002fbvZqdHBTVP2QpzfnGPMw\\u002fDDQSGEFlvD9d8opVM9CSPDV9TcRPxry\\u002fNpSKTaP6zL+IsjFAwOHVvyXWL3K+WN2\\u002f3bVGbxtr4r8r1xn0fCPmv\\u002fxufGP6x+m\\u002fYJK73fxG7b9JyvTtlEXwv4mutZcgvvG\\u002fRWZM9GAA878su+r5KgD0v5baoKBPs\\u002fS\\u002fA079UNkS9b9r0NJPzhv1v9UaoRJaz\\u002fS\\u002fxQEXlXYy9L\\u002fbdWEzRU3zv0Dd9Dg6KvK\\u002fLcjh6SfV8L8uHKo1XLTuv57dpMpCieu\\u002f8X\\u002fdByg86L8mfBRkaNvkvyX+wVZDcOG\\u002fvYYYGdD+27\\u002fdvZqdHBTVv28pzfnGPMy\\u002fNzQSGEFlvL+La1AATTisvBp9TcRPxrw\\u002fH5SKTaP6zD+GsjFAwOHVPyDWL3K+WN0\\u002f17VGbxtr4j8q1xn0fCPmP\\u002flufGP6x+k\\u002fW5K73fxG7T9JyvTtlEXwP4iutZcgvvE\\u002fQ2ZM9GAA8z8su+r5KgD0P5baoKBPs\\u002fQ\\u002fBE79UNkS9T9r0NJPzhv1P1Nd2KvtBPU\\u002fBiHUY5ev9D8vrLfM9gr0P7oWXlPeH\\u002fM\\u002f\\u002f+7Vpyj58T+9l0hWwaLwP6blZLtKUe4\\u002fjvOfn8Ur6z+gUdVDa+fnP+QuNT\\u002ffkeQ\\u002fStLCop0z4T\\u002f9OqhRCaHbPxyaY+bg0dQ\\u002flN2YUgPsyz8edbW+6R28P5fKJ4t8qJI8XIABRTqWvL\\u002fe2WolitfMv7cvrKNG0dW\\u002f2FoXLVZP3b+p\\u002fcdDOGziv4YBu16WK+a\\u002f\\u002f5y3ENfW6b+YU7yB7Vrtv1Cyn\\u002fObUPC\\u002foo\\u002fTo0bI8b8z0hSEewfzv849b6kQAvS\\u002f+EEQexeu9L9GK2llHgX1v1Nd2KvtBPW\\u002fByHUY5ev9L8vrLfM9gr0v7sWXlPeH\\u002fO\\u002fAe\\u002fVpyj58b++l0hWwaLwv6blZLtKUe6\\u002fkPOfn8Ur67+hUdVDa+fnv+UuNT\\u002ffkeS\\u002fTdLCop0z4b8JO6hRCaHbvx6aY+bg0dS\\u002fod2YUgPsy79IdbW+6R28v+Ovu9C6\\u002fKu8QYABRTqWvD\\u002fG2WolitfMP7QvrKNG0dU\\u002f0loXLVZP3T+j\\u002fcdDOGziP4MBu16WK+Y\\u002f\\u002fpy3ENfW6T+UU7yB7VrtP1Cyn\\u002fObUPA\\u002foo\\u002fTo0bI8T8x0hSEewfzP849b6kQAvQ\\u002f+EEQexeu9D9GK2llHgX1P1Nd2KvtBPU\\u002fTRks37fo9D9uZXPQNYr0P1\\u002fgVT2x3fM\\u002fBuO1f7js8j\\u002fdqx6fjMLxP++dVaQna\\u002fA\\u002f6aa4G6fk7T9bQBvsksXqPw2+MKrOiuc\\u002fSQWBfUVB5D8inth4vPDgP1ML1kikONs\\u002fgVArxyuH1D8GWqa9TY\\u002fLP7FWuOEUyrs\\u002fHjtKvkt4kjz49\\u002fVmGFm8vzVXmoF6p8y\\u002fI0fWA1y31b84PW+nATrdv6Ls4Yl0ZuK\\u002f5IXhKUAs5r+MpWJhBd7pv1OyB8UjZ+2\\u002f6RB1YcVX8L9eZOBYgs7xvwQ4BfyHCvO\\u002fqteYbqv\\u002f87+DYOYAQ6T0vyY4tw5q8vS\\u002fTRks37fo9L9vZXPQNYr0v1\\u002fgVT2x3fO\\u002fCOO1f7js8r\\u002feqx6fjMLxv++dVaQna\\u002fC\\u002f6aa4G6fk7b9dQBvsksXqvw++MKrOiue\\u002fSgWBfUVB5L8lnth4vPDgv18L1kikONu\\u002fg1ArxyuH1L8SWqa9TY\\u002fLv9pWuOEUyru\\u002frFhvnXG0q7zc9\\u002fVmGFm8Px5XmoF6p8w\\u002fIUfWA1y31T8yPW+nATrdP5zs4Yl0ZuI\\u002f4oXhKUAs5j+LpWJhBd7pP06yB8UjZ+0\\u002f6RB1YcVX8D9dZOBYgs7xPwI4BfyHCvM\\u002fqteYbqv\\u002f8z+DYOYAQ6T0PyY4tw5q8vQ\\u002fTRks37fo9D9LNilqMsf0P\\u002fd0I3A5X\\u002fQ\\u002fK1dR+Kmq8z\\u002fP4QFZ2bPyP9miqjtvhvE\\u002fEhlGImku8D8DeQ6imW7tP8atDwPdVuo\\u002fVr74f4om5z+KenQp1OnjP2VYEcXUp+A\\u002fx+LUOfvF2j\\u002fkRi1jQzTUPy3mpJ0FJ8s\\u002fxACbVCJquz+79HV93j+SPLHPZ4ZAD7y\\u002fyH69eb1qzL9HHZ9DKZTVv42l2tHiGN2\\u002fAxPEZtpZ4r+8jYDBfiXmv6dlpKeJ3em\\u002fSYPnQKtr7b+O7A7+HFvwv1icWNLk0PG\\u002fbWcYdJkJ87\\u002fM871nDPnzv3rpIP\\u002felfS\\u002f25+Pw8Ta9L9LNilqMsf0v\\u002fd0I3A5X\\u002fS\\u002fKldR+Kmq87\\u002fQ4QFZ2bPyv9qiqjtvhvG\\u002fEhlGImku8L8BeQ6imW7tv8qtDwPdVuq\\u002fWb74f4om57+MenQp1Onjv2hYEcXUp+C\\u002f0+LUOfvF2r\\u002fmRi1jQzTUvzrmpJ0FJ8u\\u002f7QCbVCJqu78Y7zC8zV+rvJfPZ4ZAD7w\\u002fsn69eb1qzD9EHZ9DKZTVP4il2tHiGN0\\u002f\\u002fRLEZtpZ4j+5jYDBfiXmP6ZlpKeJ3ek\\u002fRIPnQKtr7T+P7A7+HFvwP1ecWNLk0PE\\u002famcYdJkJ8z\\u002fM871nDPnzP3rpIP\\u002felfQ\\u002f3J+Pw8Ta9D9LNilqMsf0P0EJWsWEoPQ\\u002ftN4oVc4u9D8p\\u002f2FrEXLzP7rMN010dfI\\u002f4\\u002fhHjQVF8T94i9Btd9nvPwi9SsOO7+w\\u002fdkCZMw\\u002fg6T8lkLKqBbvmP7Hze3jpi+M\\u002fq15j6zdZ4D\\u002f6fwGEkUnaP7J6KEuJ2dM\\u002fMyIXz6qzyj+So+Kcj\\u002f66P8Jkek6F\\u002f5E8QyoYoia5u7\\u002fKzH83uyHMv0up+ubuZ9W\\u002ffqU1Pzns3L8IEEu8g0biv\\u002fVqR+lkF+a\\u002f2oNv4HPV6b+FlTJPmWjtvz7N4OazWvC\\u002fn7ye4IbP8b86CyazzgTzv8cldkVV7vO\\u002fF33jLA6D9L+RiZKyUr70v0EJWsWEoPS\\u002ftd4oVc4u9L8p\\u002f2FrEXLzv7rMN010dfK\\u002f5PhHjQVF8b94i9Btd9nvvwi9SsOO7+y\\u002fekCZMw\\u002fg6b8nkLKqBbvmv7Lze3jpi+O\\u002frl5j6zdZ4L8DgAGEkUnav7V6KEuJ2dO\\u002fPyIXz6qzyr+4o+Kcj\\u002f66vyOXt\\u002fVH\\u002f6q8KSoYoia5uz+1zH83uyHMP0mp+ubuZ9U\\u002feKU1Pzns3D8DEEu8g0biP\\u002fJqR+lkF+Y\\u002f2YNv4HPV6T+AlTJPmWjtPz7N4OazWvA\\u002fn7ye4IbP8T86CyazzgTzP8gldkVV7vM\\u002fF33jLA6D9D+RiZKyUr70P0EJWsWEoPQ\\u002fqpbu1QF19D+TljCyUfnzP2rozgVNNPM\\u002f3P37rfIx8j9Sxi4GuP7wP6bgCA0HTe8\\u002fnAd3sUJo7D8TAdbX12HpP\\u002fewKaPeSOY\\u002fKY3q9RAo4z9jGQQtWwXgPxzYFEEgxNk\\u002f3TtU8IN30z\\u002fI+icf6TXKP0OHcxoBiLo\\u002fNe9Quqe3kTz3uo+aX1e7v45tiDb8zMu\\u002fzJP7eAUz1b992x0QY7Tcv9qbH1SbLOK\\u002fT1jM1xUC5r\\u002fNDD214sXpvzhKqOIQXu2\\u002fRgrZC6NW8L9HfW97jMrxv0JO4B1X\\u002fPK\\u002fu3YmA7\\u002ff87\\u002fIkjV7EWz0v05aAARdnfS\\u002fqpbu1QF19L+UljCyUfnzv2rozgVNNPO\\u002f3f37rfIx8r9Uxi4GuP7wv6fgCA0HTe+\\u002fnAd3sUJo7L8VAdbX12Hpv\\u002fiwKaPeSOa\\u002fK43q9RAo479nGQQtWwXgvyXYFEEgxNm\\u002f3ztU8IN307\\u002fU+icf6TXKv2uHcxoBiLq\\u002fz2Z5l3uTqrzcuo+aX1e7P3ltiDb8zMs\\u002fypP7eAUz1T942x0QY7TcP9ObH1SbLOI\\u002fTljM1xUC5j\\u002fMDD214sXpPzNKqOIQXu0\\u002fRgrZC6NW8D9HfW97jMrxP0FO4B1X\\u002fPI\\u002fu3YmA7\\u002ff8z\\u002fIkjV7EWz0P09aAARdnfQ\\u002fqpbu1QF19D\\u002fmXFaFLkX0P7xnhdtXv\\u002fM\\u002fWF5Kcfzx8j\\u002fNtcVG+OnxPy17baUmtPA\\u002fw5O+lK247j8DfKdkyNnrP72TT8Uu3eg\\u002fUDBrhfHQ5T+Lnu5uCb\\u002fiP4cTrOS6Wd8\\u002fVuju6aA22T+\\u002f\\u002fgo85w7TP8jvrW6jrsk\\u002fDtyLcksHuj8OzjucyGiRPKrhi3Sk6rq\\u002fxJ\\u002fjwSlty79iP\\u002fK73PXUvyuxdqDbcdy\\u002fpjPOfFwM4r\\u002fbR0WDxeXlv0WML40Er+m\\u002fjn\\u002faOERM7b9Fc2ZaDE\\u002fwv4iTjoAmwvG\\u002fUR43g3Xw8r8lOJIons3zvxg5U8RNUfS\\u002fkNgZZlh49L\\u002fmXFaFLkX0v7xnhdtXv\\u002fO\\u002fWF5Kcfzx8r\\u002fOtcVG+Onxvy57baUmtPC\\u002fwpO+lK247r8DfKdkyNnrv8GTT8Uu3ei\\u002fUjBrhfHQ5b+Mnu5uCb\\u002fiv44TrOS6Wd+\\u002fYOju6aA22b\\u002fB\\u002fgo85w7Tv9TvrW6jrsm\\u002fNNyLcksHur8UtVnqLB2qvJHhi3Sk6ro\\u002frp\\u002fjwSltyz9gP\\u002fK73PXUPySxdqDbcdw\\u002foTPOfFwM4j\\u002fZR0WDxeXlP0SML40Er+k\\u002fiH\\u002faOERM7T9Fc2ZaDE\\u002fwP4eTjoAmwvE\\u002fUB43g3Xw8j8lOJIons3zPxc5U8RNUfQ\\u002fkNgZZlh49D\\u002fmXFaFLkX0PxXuf5HEEfQ\\u002fdOl0Vq6B8z\\u002fz7Buu+qvyP7Oo5dNjnvE\\u002fMq4mRSlm8D\\u002fIkceU\\u002fB3uP0Dreg2LRes\\u002f+645K1dT6D9sO3VZWlTlPyLMvr7HUeI\\u002fuGuiNhWh3j8BEI5wVKLYP1Ca4AWboNI\\u002fiKsw6fweyT91Qbj9e325PyQHhzqKE5E8u2bEddVzur9tgVH0DQPLv7vlfP35sNS\\u002fFuTUZjgl3L8nyDpDEebhv2FMriq3wuW\\u002fNvxrkxaR6b8bHlcodDPtvwsAW2YaRPC\\u002fCt4OcZK28b83lrhMgOHyvy0TU+RjuPO\\u002f+3PU+k0z9L8teVHv50\\u002f0vxXuf5HEEfS\\u002fdul0Vq6B87\\u002fz7Buu+qvyv7So5dNjnvG\\u002fNK4mRSlm8L\\u002fKkceU\\u002fB3uv0Lreg2LReu\\u002f\\u002fa45K1dT6L9uO3VZWlTlvyPMvr7HUeK\\u002fv2uiNhWh3r8JEI5wVKLYv1Ka4AWboNK\\u002fkqsw6fweyb+aQbj9e325v7WKyldPnam8ombEddVzuj9YgVH0DQPLP7nlfP35sNQ\\u002fEeTUZjgl3D8gyDpDEebhP15Mriq3wuU\\u002fNfxrkxaR6T8XHlcodDPtPwsAW2YaRPA\\u002fCt4OcZK28T81lrhMgOHyPy0TU+RjuPM\\u002f+3PU+k0z9D8ueVHv50\\u002f0PxXuf5HEEfQ\\u002fXkUmArHb8z\\u002fuGWiBWUHzPytfL8BaY\\u002fI\\u002fXuFqHEtQ8T\\u002fEtMLPyxXwP4CGxWbkfu0\\u002f9BXJV0mt6j9BV7xA3MXnP8CsMfRy1OQ\\u002fH1kN0nXh4T89rjFGt+LdP3JCOmvFCNg\\u002f9Rt4Nr4t0j\\u002fm58ayXojIP2qq0Nbe67g\\u002fj8JXj7G4kDz\\u002fec3L\\u002fPO5v9uYNXmTj8q\\u002fidtHA\\u002fZk1L+yfaLBJM\\u002fbvxS\\u002ffrIPuuG\\u002fVL5RejqZ5b\\u002fLViL7YWzpv9nvRD7tE+2\\u002f\\u002fR8vof418L+8EGcvGKjxvxzY2vfez\\u002fK\\u002f4KxItpug87+KAfFewRL0v8rRHr\\u002fbJPS\\u002fXkUmArHb87\\u002fwGWiBWUHzvytfL8BaY\\u002fK\\u002fXuFqHEtQ8b\\u002fGtMLPyxXwv4GGxWbkfu2\\u002f9hXJV0mt6r9EV7xA3MXnv8GsMfRy1OS\\u002fIFkN0nXh4b9CrjFGt+Ldv3tCOmvFCNi\\u002f9xt4Nr4t0r\\u002fx58ayXojIv42q0Nbe67i\\u002f16MDVwoVqbznec3L\\u002fPO5P8WYNXmTj8o\\u002fh9tHA\\u002fZk1D+sfaLBJM\\u002fbPw6\\u002ffrIPuuE\\u002fUr5RejqZ5T\\u002fJViL7YWzpP9LvRD7tE+0\\u002f\\u002fB8vof418D+7EGcvGKjxPxvY2vfez\\u002fI\\u002f36xItpug8z+KAfFewRL0P8rRHr\\u002fbJPQ\\u002fXkUmArHb8z+7JAkWDqTzP3YBcsGN\\u002f\\u002fI\\u002fJpCU\\u002fV8Z8j9UFyXU8gDxPwObFvmMiO8\\u002fNlUxqabd7D\\u002fKzppkChPqP4pE+YqINuc\\u002fx3uhJMxS5D\\u002fq786CbW\\u002fhP09qREbmIN0\\u002f1KKBTsRr1z\\u002f\\u002fP1ahpbfRP0eyGqB47Mc\\u002fSgbZMgFUuD8t\\u002f0wYKFmQPJse90VQbLm\\u002fYjEkL8UTyr\\u002fqg4sGexLUv0VzvZRdcNu\\u002fWoSmr7aI4b\\u002frcEfsp2nlv8Wsgx04Qem\\u002fQ6JnQwPu7L8G5kdt7iTwv+fvpAwGl\\u002fG\\u002fXU8YGwW88r\\u002fesgXO5Ybzvy1x1rJ18PO\\u002fni2sNCv487+7JAkWDqTzv3gBcsGN\\u002f\\u002fK\\u002fJpCU\\u002fV8Z8r9UFyXU8gDxvwebFvmMiO+\\u002fNVUxqabd7L\\u002fIzppkChPqv41E+YqINue\\u002fyXuhJMxS5L\\u002fr786CbW\\u002fhv1RqREbmIN2\\u002f3qKBTsRr178BQFahpbfRv1KyGqB47Me\\u002fbQbZMgFUuL\\u002fDfnMkvIWovIQe90VQbLk\\u002fTDEkL8UTyj\\u002fog4sGexLUPz5zvZRdcNs\\u002fVISmr7aI4T\\u002fpcEfsp2nlP8Ssgx04Qek\\u002fPqJnQwPu7D8G5kdt7iTwP+XvpAwGl\\u002fE\\u002fW08YGwW88j\\u002fdsgXO5YbzPy1x1rJ18PM\\u002fni2sNCv48z+7JAkWDqTzPyyFxucYbPM\\u002fJWa1hqS98j\\u002fo8Ztucs\\u002fxP8Hx0sfCsfA\\u002fw9J3GOXl7j9Sjis8wjzsPwkh9OcMeek\\u002f8jAx8Ven5j\\u002fG2MpAItHjP32B9EQv\\u002feA\\u002f9tUhJSxe3D8yr9I6Xc3WP3nc6f\\u002fVP9E\\u002fsC+O8TtNxz8LnB\\u002fkrre3P+Xm9hP36488o89AjjHeuL\\u002fDUqShzZDJvzSh\\u002fRtDutO\\u002f+eW1lK0J278LSYYVa1Lhv1vrQShdNOW\\u002fWkxmQ+4P6b9MsyMIDMLsv4BSh4kfEfC\\u002fTyjHsKuD8b9fVhqLa6byv3MDdKbua\\u002fO\\u002f2zYd2U3N879s\\u002fEcG68rzvyyFxucYbPO\\u002fJWa1hqS98r\\u002fo8Ztucs\\u002fxv8Lx0sfCsfC\\u002fxdJ3GOXl7r9Sjis8wjzsvwoh9OcMeem\\u002f9DAx8Ven5r\\u002fH2MpAItHjv32B9EQv\\u002feC\\u002f+9UhJSxe3L87r9I6Xc3Wv3vc6f\\u002fVP9G\\u002fui+O8TtNx78tnB\\u002fkrre3vyst+U758Ke8is9AjjHeuD+uUqShzZDJPzKh\\u002fRtDutM\\u002f8+W1lK0J2z8GSYYVa1LhP1nrQShdNOU\\u002fVkxmQ+4P6T9IsyMIDMLsP4BSh4kfEfA\\u002fTyjHsKuD8T9fVhqLa6byP3MDdKbua\\u002fM\\u002f2zYd2U3N8z9s\\u002fEcG68rzPyyFxucYbPM\\u002fcsdtcyM18z89WNjXDX3yPysBoAQQh\\u002fE\\u002fJYOuJDdk8D8+pBCUeEbuP9McmQLanus\\u002fv1gdWLHh6D\\u002f7spNGZRrmPyyFSotNUeM\\u002fJKn\\u002f+1SM4D\\u002f+iyHyQZ3bP6oT\\u002foPHL9Y\\u002fEO758\\u002fjH0D9uV5+dz6zGP1ft2lPqGLc\\u002f\\u002fN9mxrUgjzz2dIVDLEu4v6ekKh\\u002f2B8m\\u002fLXBsOBdd07+VdtPq6pvav900lqOVF+G\\u002fhxfZIrr55L\\u002fDnH752djov4XGPHVakOy\\u002fxaT+1Ij1778MbGKRVG7xv8fqAW+Ij\\u002fK\\u002fq1asuWRQ879+Q1KtNarzv\\u002fUQvPE\\u002fnvO\\u002fcsdtcyM1878+WNjXDX3yvysBoAQQh\\u002fG\\u002fJ4OuJDdk8L9CpBCUeEbuv9UcmQLanuu\\u002fv1gdWLHh6L\\u002f+spNGZRrmvy6FSotNUeO\\u002fJan\\u002f+1SM4L8EjCHyQZ3bv7MT\\u002foPHL9a\\u002fEu758\\u002fjH0L92V5+dz6zGv3jt2lPqGLe\\u002f\\u002fSfNVIhYp7zddIVDLEu4P5KkKh\\u002f2B8k\\u002fKnBsOBdd0z+PdtPq6pvaP9g0lqOVF+E\\u002fhhfZIrr55D\\u002fCnH752djoP4DGPHVakOw\\u002fxaT+1Ij17z8LbGKRVG7xP8XqAW+Ij\\u002fI\\u002fq1asuWRQ8z9+Q1KtNarzP\\u002fYQvPE\\u002fnvM\\u002fcsdtcyM18z9Jy\\u002fkBhADzP6Ib6mU\\u002fP\\u002fI\\u002flFhwsLtB8T9Hi3zozxnwPxldM6Amre0\\u002f75GKIJgG6z9KYNWPYE\\u002foP9zmMl3UkeU\\u002fKCxwTi\\u002fV4j\\u002fLihmxgR7gP6KVNFP04No\\u002fkOQuxU+V1T8giQiDzVHQP+pEaGh+DcY\\u002fiUZ9y955tj8WYzIlIVOOPOlVRmbxtLe\\u002f\\u002fTabBaV6yL8vXRzIzvvSv5VaCIf2J9q\\u002fvyb4I6LY4L+VuWqTH7rkv2NgJbBOnOi\\u002foTOSzjpZ7L+TGzUtEsTvvzVqorVCV\\u002fG\\u002fEx\\u002fnMMd38r8ksrRd7TTzv1jiszMUiPO\\u002fbRFfGU9z879Jy\\u002fkBhADzv6Qb6mU\\u002fP\\u002fK\\u002flFhwsLtB8b9Ii3zozxnwvx1dM6Amre2\\u002f75GKIJgG679KYNWPYE\\u002fov9\\u002fmMl3UkeW\\u002fKixwTi\\u002fV4r\\u002fMihmxgR7gv6eVNFP04Nq\\u002fmOQuxU+V1b8iiQiDzVHQv\\u002fNEaGh+Dca\\u002fq0Z9y955tr9QyuXbWL6mvNNVRmbxtLc\\u002f6TabBaV6yD8tXRzIzvvSP4xaCIf2J9o\\u002fuib4I6LY4D+TuWqTH7rkP2JgJbBOnOg\\u002fnDOSzjpZ7D+RGzUtEsTvPzNqorVCV\\u002fE\\u002fER\\u002fnMMd38j8ksrRd7TTzP1jiszMUiPM\\u002fbhFfGU9z8z9Jy\\u002fkBhADzP9tujEWDz\\u002fI\\u002fwmJ1ZqIF8j9+uS6P6wDxP051OVj\\u002fp+8\\u002fYA4eZ7Qc7T8tRpvEj3bqPzUC7KFwxOc\\u002fbz+TE7oP5T9tdVHknF7iP3C+HXKeat8\\u002fzDoG4AMs2j8D01X4PQDVP8gQNQ4qvs8\\u002fEE\\u002fpwZ9xxT\\u002fcqGGKzdy1P75\\u002filXzhY08F96jtE8dt79JbHHFWurHv0gNgpNPl9K\\u002fBepjCr2u2b+Ib6\\u002fo\\u002f5XgvydS6w\\u002fvdeS\\u002fPM0UJJ1a6L\\u002fU1mPZ8Bzsv+JTKQQiju+\\u002fUTXsdqo+8b96eqE2gV\\u002fyvw0rru8ZGvO\\u002fLzgJa71n878ByYRiLUvzv9tujEWDz\\u002fK\\u002fw2J1ZqIF8r9+uS6P6wDxv091OVj\\u002fp++\\u002fZA4eZ7Qc7b8uRpvEj3bqvzYC7KFwxOe\\u002fcj+TE7oP5b9udVHknF7iv3G+HXKeat+\\u002f0ToG4AMs2r8M01X4PQDVv8wQNQ4qvs+\\u002fGU\\u002fpwZ9xxb\\u002f8qGGKzdy1v87fJ4B2JKa8Ad6jtE8dtz82bHHFWurHP0YNgpNPl9I\\u002fAOpjCr2u2T+Cb6\\u002fo\\u002f5XgPyZS6w\\u002fvdeQ\\u002fO80UJJ1a6D\\u002fP1mPZ8BzsP+JTKQQiju8\\u002fUDXsdqo+8T95eqE2gV\\u002fyPw0rru8ZGvM\\u002fLzgJa71n8z8CyYRiLUvzP9tujEWDz\\u002fI\\u002f85YEmUqj8j8TnfqSgdHxPxCcmXj3xfA\\u002f8RT+CzYo7z8VDAGSrZfsP3mhUbUf8ek\\u002f55\\u002f52QlD5z+n2dIUBJbkP9lQ\\u002fipK7+E\\u002fJeoFQHak3j8p3XrEA4HZP3IRx5C5ctQ\\u002f2OCEFPzizj9N+OcSfdvEP4unacn2Q7U\\u002fEDzl6\\u002fS7jDyKXVPXKIa2v9+QXxqtWMe\\u002fLN4de40w0r83CWnJODHZv4ErTHMjUOC\\u002fA9sLxYwt5L8p\\u002fB6xFBTov8Ap+Du42+u\\u002f\\u002f9uzduxT77\\u002fFtVnFryTxvyfvjTD4RvK\\u002f6l4MZl4A87+Zvr8V5UnzvwBaCEnPJvO\\u002f85YEmUqj8r8VnfqSgdHxvxCcmXj3xfC\\u002f9BT+CzYo778YDAGSrZfsv3qhUbUf8em\\u002f55\\u002f52QlD57+q2dIUBJbkv9pQ\\u002fipK7+G\\u002fJ+oFQHak3r8t3XrEA4HZv3oRx5C5ctS\\u002f3eCEFPzizr9W+OcSfdvEv6qnacn2Q7W\\u002fC+3rsPeMpbxzXVPXKIa2P8uQXxqtWMc\\u002fKt4de40w0j8xCWnJODHZP30rTHMjUOA\\u002fAtsLxYwt5D8o\\u002fB6xFBToP7kp+Du42+s\\u002f\\u002f9uzduxT7z\\u002fEtVnFryTxPybvjTD4RvI\\u002f6l4MZl4A8z+Zvr8V5UnzPwFaCEnPJvM\\u002f9JYEmUqj8j8AIEDa03zyP+wNn6\\u002f4o\\u002fE\\u002fjFM7MgmS8D+M9CJmk7buP17aLkxIIOw\\u002f5Qn111d46T+YAeT6Dc3mPyFa3ihiJuQ\\u002f2uiED7WI4T\\u002f1ME25KO3dP4N482Q54tg\\u002fDVxI863u0z\\u002f5eSuxHRXOP04czKg1TcQ\\u002fDVjfXoCxtD8ywrEf4veLPKwLQ5pj8bW\\u002fXHQmFEDHxr+FO8p4icjRv7Wk5w50sNi\\u002fMQ2U04gH4L9g8gdoYuHjvw88bkwGyee\\u002famwcAseV67+GaZIAlBXvv0iXxz1lCfG\\u002fN0CSlVIu8r915po2Cujyv7NMybUTL\\u002fO\\u002fqyFilfoG878AIEDa03zyv+0Nn6\\u002f4o\\u002fG\\u002fjFM7MgmS8L+N9CJmk7buv2LaLkxIIOy\\u002f5An111d46b+YAeT6Dc3mvyJa3ihiJuS\\u002f2+iED7WI4b\\u002f4ME25KO3dv4d482Q54ti\\u002fFFxI863u07\\u002f8eSuxHRXOv1YczKg1TcS\\u002fLFjfXoCxtL+lUcWX6fmkvJcLQ5pj8bU\\u002fSnQmFEDHxj+DO8p4icjRP7Ck5w50sNg\\u002fLQ2U04gH4D9f8gdoYuHjPws8bkwGyec\\u002fY2wcAseV6z+GaZIAlBXvP0eXxz1lCfE\\u002fNECSlVIu8j905po2CujyP7RMybUTL\\u002fM\\u002fqyFilfoG8z8BIEDa03zyP4WFNzbcXPI\\u002fZT313OZ98T8H0spnD2bwPw1Xchn1VO4\\u002f2urTvk646z\\u002fllhax4w3pP9IfYrIDZOY\\u002fAFdz7jLC4z\\u002fwcmLhEyzhP1Fu9azWRt0\\u002fbyIS1X9R2D9DD1fDsXXTP4Bbs3QjV80\\u002fqqKbv6PIwz9cdeIcXCe0Pxi2cO5NPIs8QneTzdtgtb9VmNrCvDfGv5AeFlZPYNG\\u002fU+G1l4ot2L+B4i8ubHnfv7p0x7fikeO\\u002fz3HJjMh557\\u002fogv3MUUvrv1dtZDUt0+6\\u002fl3RnHc3s8L\\u002fzuQ6dmhXyvz1HbDhE0fK\\u002f0RVEvJ4X879a9R03O+zyv4WFNzbcXPK\\u002fZT313OZ98b8I0spnD2bwvw9Xchn1VO6\\u002f3erTvk6467\\u002fllhax4w3pv9IfYrIDZOa\\u002fAVdz7jLC47\\u002fxcmLhEyzhv1Ju9azWRt2\\u002fcyIS1X9R2L9LD1fDsXXTv4Nbs3QjV82\\u002fs6Kbv6PIw795deIcXCe0v5KI1HI6baS8LneTzdtgtT9EmNrCvDfGP44eFlZPYNE\\u002fTuG1l4ot2D904i8ubHnfP7l0x7fikeM\\u002fznHJjMh55z\\u002fjgv3MUUvrP1dtZDUt0+4\\u002flnRnHc3s8D\\u002fyuQ6dmhXyPz1HbDhE0fI\\u002f0RVEvJ4X8z9b9R03O+zyP4aFNzbcXPI\\u002fSkQr+9pD8j\\u002fVuwm85F\\u002fxP9aWrUy0QvA\\u002fAJqQKLYE7j\\u002fqoc2LD2HrPyFqonn7sug\\u002fc08\\u002f7gcJ5j+2C7ymdWrjP7u1sPxH2uA\\u002fyT8yWguz3D\\u002f10xW9MdDXP3bTzVXzCNM\\u002fGGljbAmrzD+c1zQwRU\\u002fDPwxZcjMwp7M\\u002f612ge4WLijyC8TzJUNa0v\\u002fpPvqjFq8W\\u002fHK+\\u002fp\\u002fH40L+lPYlBqanXv\\u002fOCiB964N6\\u002fhVMtu4w\\u002f47\\u002fR2sftuybnvw9NVuiQ\\u002fOq\\u002foheqYMSM7r9lU9Xe287wv4rbdrq\\u002f\\u002fPG\\u002ffIzm1Am88r+nU0+ZpAPzv7hUjjjc1vK\\u002fSkQr+9pD8r\\u002fWuwm85F\\u002fxv9aWrUy0QvC\\u002fApqQKLYE7r\\u002ftoc2LD2HrvyFqonn7sui\\u002fc08\\u002f7gcJ5r+5C7ymdWrjv7u1sPxH2uC\\u002fyj8yWguz3L\\u002f60xW9MdDXv37TzVXzCNO\\u002fHGljbAmrzL+j1zQwRU\\u002fDvylZcjMwp7O\\u002fcEa4HKToo7xu8TzJUNa0P+hPvqjFq8U\\u002fGq+\\u002fp\\u002fH40D+dPYlBqanXP+iCiB964N4\\u002fg1Mtu4w\\u002f4z\\u002fQ2sftuybnPwpNVuiQ\\u002fOo\\u002foheqYMSM7j9lU9Xe287wP4nbdrq\\u002f\\u002fPE\\u002ffIzm1Am88j+nU0+ZpAPzP7lUjjjc1vI\\u002fS0Qr+9pD8j+tkXMl\\u002fTHyPx2SdxU\\u002fSvE\\u002f5rECelgo8D8xHKsapsbtPwP87zJWG+s\\u002ft5ZP1Fxo6D+O7HFHxrzlP92K01nCH+M\\u002fA89xCtaT4D\\u002f56mPRrTLcP8Nr8ckbX9c\\u002fYq5pLCyp0j9JHf3fHBLMP2WlZQMq4sI\\u002fSxgny0Mysz8V9v8ndueJPOK83NhTU7S\\u002fNsSObukkxb9KGuXag5PQvw465R0LJte\\u002fNsqZjndF3r9Cj97q7eriv6y2UGpO0Oa\\u002fxGo9WcWp6r\\u002fGzDsiZELuv\\u002fWdIRh8r\\u002fC\\u002fNGQVVZrj8b9qZyOAMajyv8Ae5fIM8\\u002fK\\u002f6lENWuXG8r+tkXMl\\u002fTHyvx6SdxU\\u002fSvG\\u002f5bECelgo8L8zHKsapsbtvwb87zJWG+u\\u002ft5ZP1Fxo6L+O7HFHxrzlv9+K01nCH+O\\u002fA89xCtaT4L\\u002f66mPRrTLcv8lr8ckbX9e\\u002faq5pLCyp0r9MHf3fHBLMv22lZQMq4sK\\u002faBgny0Mys7+P+P+dmG2jvM683NhTU7Q\\u002fJMSObukkxT9IGuXag5PQPwk65R0LJtc\\u002fLMqZjndF3j9Bj97q7eriP6u2UGpO0OY\\u002fvmo9WcWp6j\\u002fEzDsiZELuP\\u002fSdIRh8r\\u002fA\\u002fMmQVVZrj8T9qZyOAMajyP8Ae5fIM8\\u002fI\\u002f7FENWuXG8j+ukXMl\\u002fTHyP9mrC+klJ\\u002fI\\u002fKFShTPY88T+\\u002fAmU\\u002fEhfwPzjgLY8Im+0\\u002fDM82nGvn6j9i2bqCSy7oP1MU+Rh5f+U\\u002f0OYgEkni4j8e39Cf5FjgP2cUyqP9xds\\u002fhjdLAnn+1j+95U+1nFbSP2bQcnfyjMs\\u002fXlPsneqBwj8lZcu1ccmyP2MSr7+YUYk8kxnMADjZs7\\u002fXR7avlKTEv+V+d3ASMdC\\u002flexmfvOj1r+H2ShOtqndv\\u002fIXHZ6ilOK\\u002flA2Wpv125r9CALMCPVPqv05pdgUc9O2\\u002faKCaD5OO8L9hrGs68cnxv71YaxpwlfK\\u002fZMll3ozl8r+qYPxtHbzyv9qrC+klJ\\u002fK\\u002fKFShTPY88b+\\u002fAmU\\u002fEhfwvzrgLY8Im+2\\u002fDs82nGvn6r9i2bqCSy7ov1MU+Rh5f+W\\u002f0uYgEkni4r8f39Cf5Fjgv2gUyqP9xdu\\u002fjDdLAnn+1r\\u002fE5U+1nFbSv2jQcnfyjMu\\u002fZVPsneqBwr9AZcu1ccmyv8pNw48y\\u002faK8fxnMADjZsz\\u002fFR7avlKTEP+N+d3ASMdA\\u002fkOxmfvOj1j972ShOtqndP\\u002fEXHZ6ilOI\\u002fkw2Wpv125j88ALMCPVPqP05pdgUc9O0\\u002faKCaD5OO8D9hrGs68cnxP71YaxpwlfI\\u002fZMll3ozl8j+rYPxtHbzyP9qrC+klJ\\u002fI\\u002f5eBWAfQi8j81cz56wjfxP4nF8zuxDvA\\u002fJB0ivpyB7T8A0HBMHsXqPydeQcCZBOg\\u002fIzGRI\\u002fFQ5T9HtA9G2LHiP3eF3HBBKeA\\u002fcQQkVJts2z9Eslhp+a3WP\\u002fB2lrcQEdI\\u002fRaHvs2kbyz\\u002fMUjt1pi7CPx39YX4ibbI\\u002flpkmuuPKiDwkmViQBGmzvxk4VPsDLMS\\u002fkDM8tDOlz78rZnwRpSTWvwB8906XDt2\\u002fqY0VXVQ94r\\u002fjk3AkVxvmv69rIC9V+em\\u002fioZzKAai7b+mMp1yBWzwv1W47CGAr\\u002fG\\u002fVVOolGCD8r+JWsGTrtryvz9FJBgRtvK\\u002f5eBWAfQi8r82cz56wjfxv4rF8zuxDvC\\u002fJx0ivpyB7b8C0HBMHsXqvydeQcCZBOi\\u002fIzGRI\\u002fFQ5b9JtA9G2LHiv3iF3HBBKeC\\u002fdAQkVJts279Kslhp+a3Wv\\u002fd2lrcQEdK\\u002fSKHvs2kby7\\u002fUUjt1pi7Cvzj9YX4ibbK\\u002fMPOcyyqYorwRmViQBGmzPwg4VPsDLMQ\\u002fjTM8tDOlzz8mZnwRpSTWP\\u002fR7906XDt0\\u002fqI0VXVQ94j\\u002fgk3AkVxvmP6lrIC9V+ek\\u002fioZzKAai7T+lMp1yBWzwP1K47CGAr\\u002fE\\u002fVVOolGCD8j+JWsGTrtryPz9FJBgRtvI\\u002f5eBWAfQi8j+cUssfyyTyP2cpa6EbOvE\\u002fbRdGu8UO8D9EAXbPq3ntP7HP6SPRs+o\\u002fa1i7Nrfq5z+2x\\u002fnmozDlP0ZVg9XpjeI\\u002fqas\\u002fqGwE4D8pAfHVmyXbP1eHoVLSbNY\\u002fHN2Y8uvX0T+F1BpDvbzKP8vbqlgL6ME\\u002fI6tfY04dsj91+b3hxVOIPFz8lcprA7O\\u002fGOvgTze8w78+bCl0+fHOv4ADaa9WqdW\\u002fm0DWYYB13L+wxR0ZtuXhv4KqR1n2veW\\u002fFSBQIXuc6b\\u002ffj7tHS0ztvxXviqa7R\\u002fC\\u002fEausif6T8b8D1kwAjXHyv6z9U77b0fK\\u002fro\\u002fSKB208r+cUssfyyTyv2gpa6EbOvG\\u002fbRdGu8UO8L9FAXbPq3ntv7TP6SPRs+q\\u002fbFi7Nrfq57+2x\\u002fnmozDlv0lVg9XpjeK\\u002fqqs\\u002fqGwE4L8rAfHVmyXbv12HoVLSbNa\\u002fJN2Y8uvX0b+I1BpDvbzKv9PbqlgL6MG\\u002fPqtfY04dsr8Xe05p1D6ivEr8lcprA7M\\u002fCOvgTze8wz87bCl0+fHOP3wDaa9WqdU\\u002fkUDWYYB13D+vxR0ZtuXhP4CqR1n2veU\\u002fESBQIXuc6T\\u002ffj7tHS0ztPxTviqa7R\\u002fA\\u002fEKusif6T8T8C1kwAjXHyP6z9U77b0fI\\u002fr4\\u002fSKB208j+dUssfyyTyPyL1aHbgK\\u002fI\\u002fhI4XHEVD8T9RM0wIqxbwP5iyUXEcgu0\\u002fy6SOAY+y6j9Vt\\u002fDqxN\\u002fnP6dmXDO\\u002fHeU\\u002f9rE+V7V14j9KTSytUtPfPxid+Eul79o\\u002fPRxrztY51j9jEsedParRP7bsC1ueb8o\\u002fx9Zgc2StwT\\u002fzDFDzhtmxP98gy+Qp7Ic8HMcEmsaosr+4qZJX6FXDv+PzLf70Sc6\\u002f3dWe7iYz1b8RMJ5Yz9\\u002fbv2wb26p+juG\\u002fsEz934Bf5b8PyIOxKj3pv4nJ89sk8+y\\u002fj8JbTKUh8L8QXVs9Jnfxv+1sYh14X\\u002fK\\u002frScJWGnK8r+D7p16e7XyvyL1aHbgK\\u002fK\\u002fhY4XHEVD8b9RM0wIqxbwv5qyUXEcgu2\\u002fz6SOAY+y6r9Wt\\u002fDqxN\\u002fnv6dmXDO\\u002fHeW\\u002f+bE+V7V14r9MTSytUtPfvxmd+Eul79q\\u002fQhxrztY51r9qEsedParRv7rsC1ueb8q\\u002fz9Zgc2Stwb8MDVDzhtmxv6dYmGsf8aG8CscEmsaosj+oqZJX6FXDP+DzLf70Sc4\\u002f2dWe7iYz1T8HMJ5Yz9\\u002fbP2wb26p+juE\\u002fr0z934Bf5T8KyIOxKj3pP4nJ89sk8+w\\u002fj8JbTKUh8D8OXVs9JnfxP+5sYh14X\\u002fI\\u002frScJWGnK8j+E7p16e7XyPyL1aHbgK\\u002fI\\u002fXYLKHkk38j\\u002fFg6QgW1LxPwyrcbaTJfA\\u002fsrADwomZ7T8joX5PIcDqP71+Ahas4uc\\u002faMFC9j8X5T+EYtfnRWjiPy2yb8oisN8\\u002fLy36RBLJ2j94lLvFlRPWP5NZbsXYhtE\\u002fFKWeLVgyyj9Ij5Ber33BP8sDkTgHobE\\u002f7NtQaoKThzwtUM3LFVmyv3HxY3+E+cK\\u002fxzIa1U6uzb9J\\u002f37lD8PUvwzyNwHMTtu\\u002fgzK+RGI44b+iTrdXoQDlvyeC01fr2+i\\u002fW5Q7V92W7L+27cl3d\\u002fPvv1LJE\\u002fi4WPG\\u002f6xyMgKZM8r9SCDblo8Pyv2q1jApRufK\\u002fXYLKHkk38r\\u002fGg6QgW1LxvwyrcbaTJfC\\u002ftLADwomZ7b8loX5PIcDqv7x+Ahas4ue\\u002faMFC9j8X5b+GYtfnRWjivy2yb8oisN+\\u002fMi36RBLJ2r99lLvFlRPWv5pZbsXYhtG\\u002fGaWeLVgyyr9Pj5Ber33Bv+YDkTgHobG\\u002f8KS8z6GuobwcUM3LFVmyP2HxY3+E+cI\\u002fxDIa1U6uzT9E\\u002f37lD8PUPwLyNwHMTts\\u002fgTK+RGI44T+hTrdXoQDlPyOC01fr2+g\\u002fWZQ7V92W7D+z7cl3d\\u002fPvP1HJE\\u002fi4WPE\\u002f6xyMgKZM8j9SCDblo8PyP2u1jApRufI\\u002fXoLKHkk38j8GjIQICUbyPyxUmyhhZvE\\u002fl10pzJY68D9Vz2KEW77tP1sssWAn2+o\\u002fQn+6sjXy5z+j9lr\\u002fCRzlP\\u002f4RoVKRZOI\\u002f4pEkOFad3z+aXVgPGLDaPzFRQdJ6+NU\\u002fdEkLDm9s0T9nNWjA9wLKP+nEjwS1V8E\\u002fAzzxtshysT8e+W1l3UiHPMiMocMIFLK\\u002fRJRCrCunwr+gzEn3zR\\u002fNvwQvmZbcWdS\\u002fhToxtprD2r9736a2C+TgvzQxkbgBouS\\u002fRdPUSEx56L\\u002fGO1Ljzjfsv01ectcGoO+\\u002fIx6Sv4Q48b+jriGMpjjyv\\u002ftMffTavPK\\u002f1bZb+ru+8r8GjIQICUbyvy5UmyhhZvG\\u002fl10pzJY68L9Wz2KEW77tv10ssWAn2+q\\u002fQX+6sjXy57+k9lr\\u002fCRzlvwESoVKRZOK\\u002f5JEkOFad37+bXVgPGLDavzVRQdJ6+NW\\u002fe0kLDm9s0b9sNWjA9wLKv\\u002fHEjwS1V8G\\u002fHTzxtshysb\\u002fXehIMpnahvLeMocMIFLI\\u002fNZRCrCunwj+czEn3zR\\u002fNP\\u002f8umZbcWdQ\\u002fezoxtprD2j9536a2C+TgPzMxkbgBouQ\\u002fQdPUSEx56D\\u002fGO1LjzjfsP0hectcGoO8\\u002fIB6Sv4Q48T+jriGMpjjyP\\u002ftMffTavPI\\u002f1bZb+ru+8j8HjIQICUbyP5ObbiohV\\u002fI\\u002fwaEHCVB+8T9CfyvCvFTwP3JsOK7d7u0\\u002fxJzCoywC6z8c9BmXIA3oP87nNXT+KuU\\u002freOfUo5p4j831jJM\\u002fJjfP899RHrsoto\\u002ffy0tre7m1T+j7jNCq1nRP9qnayx038k\\u002f5eRGxyM6wT9a9UIMm02xP4WBtar8Coc8\\u002fQ8KCwnZsb92fdzas17Cv\\u002faacfzSnsy\\u002frPVZXSH40789rOk0MT\\u002favwg6GWUWkuC\\u002fJhNG9kVE5L9rovVm4BXovwWGejdh1uu\\u002fdE5fyBhJ77\\u002fU\\u002fa3LZhbxvwtG8qwWI\\u002fK\\u002f0gPg8mq18r9BSF1L4MTyv5ObbiohV\\u002fK\\u002fw6EHCVB+8b9CfyvCvFTwv3RsOK7d7u2\\u002fx5zCoywC678c9BmXIA3ov87nNXT+KuW\\u002fsOOfUo5p4r841jJM\\u002fJjfv9F9RHrsotq\\u002fgy0tre7m1b+q7jNCq1nRv92nayx038m\\u002f7ORGxyM6wb9z9UIMm02xvyMhCIA9SKG86w8KCwnZsT9nfdzas17CP\\u002fKacfzSnsw\\u002fqPVZXSH40z8xrOk0MT\\u002faPwc6GWUWkuA\\u002fJRNG9kVE5D9lovVm4BXoPwWGejdh1us\\u002fc05fyBhJ7z\\u002fS\\u002fa3LZhbxPwxG8qwWI\\u002fI\\u002f0gPg8mq18j9CSF1L4MTyP5ObbiohV\\u002fI\\u002f9nTu5Ztp8j+Aa6e0IpnxP\\u002frf+2wLc\\u002fA\\u002fFKzOqFUp7j9ZpjH\\u002fuzPrP72VnkA0Mug\\u002faYW86A5D5T9MhT3TR3biP8njFzVMod8\\u002ftduAh+ef2j9BsoI\\u002fdN3VP8Q8pTtJTdE\\u002fItQpftPFyT\\u002fsfT9hqCPBP3OvNNo7MLE\\u002f0LeuUXHYhjxm6IegSaexv6itzW2xH8K\\u002fwSChP1orzL9iiL5QOJ7Tv9en0BNPwtm\\u002f8eyKsglD4L8hfFOsB+jjv+Ouprw6sue\\u002fpKtrKwdz678ICHLw4+7uvyCZpP5M8vC\\u002fo\\u002fsGjKkL8r8iJ3upxKzyv5koAmDyyvK\\u002f9nTu5Ztp8r+Ba6e0Ipnxv\\u002fvf+2wLc\\u002fC\\u002fFazOqFUp7r9dpjH\\u002fuzPrv72VnkA0Mui\\u002faYW86A5D5b9OhT3TR3biv8njFzVMod+\\u002fuNuAh+ef2r9GsoI\\u002fdN3Vv8s8pTtJTdG\\u002fI9QpftPFyb\\u002fzfT9hqCPBv42vNNo7MLG\\u002f3AlD\\u002fVQiobxV6IegSaexP5qtzW2xH8I\\u002fviChP1orzD9eiL5QOJ7TP82n0BNPwtk\\u002f8OyKsglD4D8gfFOsB+jjP9+uprw6suc\\u002foqtrKwdz6z8HCHLw4+7uPx6ZpP5M8vA\\u002fo\\u002fsGjKkL8j8jJ3upxKzyP5ooAmDyyvI\\u002f9nTu5Ztp8j+NsmXYlnzyP33ibN\\u002fgtfE\\u002fa3ZmHJCU8D9D+rgHFGzuP5jg6iJvbus\\u002ffZaW+U5g6D+gvp2MS2PlP0KJEoLrieI\\u002fNTxP0cG03z8MXh0onqXaPy0bTei\\u002f2tU\\u002fIqlvLylG0T81eRsaSbTJP5l95E0DE8E\\u002fjUfNwGwZsT9pKZRCt6+GPPEuaY3YfbG\\u002f65p6ZoPpwb+L+F\\u002f6BMXLv9j+ngdCTNO\\u002fiPA5o3pN2b\\u002fIzganrO7fv0t0sU3TjeO\\u002faQSh\\u002fetO57+TQICSPA7rv6c0LhK0ke6\\u002fC\\u002f1PGjbM8L\\u002f\\u002flTEpKPLxvyZQxw1yovK\\u002fPElYqD7Q8r+NsmXYlnzyv4DibN\\u002fgtfG\\u002fbHZmHJCU8L9E+rgHFGzuv5vg6iJvbuu\\u002ffZaW+U5g6L+gvp2MS2Plv0WJEoLrieK\\u002fODxP0cG0378PXh0onqXavzEbTei\\u002f2tW\\u002fKalvLylG0b85eRsaSbTJv6B95E0DE8G\\u002fp0fNwGwZsb8PH+9xyQOhvOEuaY3YfbE\\u002f3Jp6ZoPpwT+I+F\\u002f6BMXLP9T+ngdCTNM\\u002ff\\u002fA5o3pN2T\\u002fGzganrO7fP0p0sU3TjeM\\u002fZQSh\\u002fetO5z+SQICSPA7rP6Y0LhK0ke4\\u002fCf1PGjbM8D\\u002f\\u002flTEpKPLxPyZQxw1yovI\\u002fPElYqD7Q8j+NsmXYlnzyP1qDc7FJj\\u002fI\\u002ftCaWB6fT8T\\u002fx3f59Z7jwP03nNvmBte4\\u002fA9P8KPmw6z8RlxGebpboPwKVWoTriuU\\u002fZQI5n9Kj4j\\u002fiLRoZMNLfPyjW3Qz0sto\\u002fgukrXsfd1T9jctkVXUPRP5ifnJBLqck\\u002fJV7THRkHwT+1FKqXBQixP2GWaXlOj4Y8pGgZGbFbsb\\u002fAdHNSYrvBv5v5sFIoa8u\\u002foTPUjSoC07+97rFTAuHYvyefqFmrXt+\\u002fq\\u002fGD+iY247\\u002ff+0Q9gezmv3R\\u002fBLCEqOq\\u002f\\u002fgvdJegx7r9U5CP3MKTwv7w3OA1y1vG\\u002fi9yCYhiW8r+hork9LtTyv1qDc7FJj\\u002fK\\u002ftCaWB6fT8b\\u002fx3f59Z7jwv0\\u002fnNvmBte6\\u002fB9P8KPmw678RlxGebpbovwOVWoTriuW\\u002faAI5n9Kj4r\\u002fkLRoZMNLfvynW3Qz0stq\\u002fh+krXsfd1b9sctkVXUPRv5qfnJBLqcm\\u002fLF7THRkHwb\\u002fOFKqXBQixv8gwD9t666C8lGgZGbFbsT+xdHNSYrvBP5b5sFIoa8s\\u002fnjPUjSoC0z+z7rFTAuHYPySfqFmrXt8\\u002fqvGD+iY24z\\u002fa+0Q9gezmP3R\\u002fBLCEqOo\\u002f\\u002fAvdJegx7j9S5CP3MKTwP7w3OA1y1vE\\u002fityCYhiW8j+hork9LtTyP1qDc7FJj\\u002fI\\u002f+pP3\\u002fwmh8j9hhvi3q\\u002fHxP6EkMhPD3fA\\u002flh7vNCoE7z+RxMhwLPrrPz+yHvKz0+g\\u002fPAaGQE+55T\\u002fRzV+zhMPiPwmpADnI+N8\\u002f6\\u002f9jtyPH2j8Ie9mLyeXVP2otULYvRNE\\u002ffm6CB6GjyT+3XU3g\\u002fP7AP\\u002ffedLAB+7A\\u002f9j0x\\u002fM91hjzQ+K\\u002f0zD+xvy\\u002f9imtwlMG\\u002fVu9snOAcy78tGATGsb\\u002fSvxnMGw4Cfdi\\u002fAJFUAJbW3r9xeV3DcuHiv1BFR7CDi+a\\u002fLfO8SmlC6r+8Pk9X8M\\u002ftv1stdgpbevC\\u002f\\u002fXIK73u48b9UBE\\u002fzd4fyv2BdH45I1vK\\u002f+pP3\\u002fwmh8r9ihvi3q\\u002fHxv6EkMhPD3fC\\u002fmB7vNCoE77+UxMhwLPrrvz6yHvKz0+i\\u002fOwaGQE+55b\\u002fTzV+zhMPivwupADnI+N+\\u002f7P9jtyPH2r8Le9mLyeXVv3ItULYvRNG\\u002ff26CB6Gjyb+9XU3g\\u002fP7AvxHfdLAB+7C\\u002feO4k\\u002fVvYoLzB+K\\u002f0zD+xPyH9imtwlME\\u002fVO9snOAcyz8qGATGsb\\u002fSPw\\u002fMGw4Cfdg\\u002f\\u002fJBUAJbW3j9weV3DcuHiP0pFR7CDi+Y\\u002fLfO8SmlC6j+5Pk9X8M\\u002ftP1ktdgpbevA\\u002f\\u002fXIK73u48T9UBE\\u002fzd4fyP2FdH45I1vI\\u002f+5P3\\u002fwmh8j\\u002fRxBU4TLHyP8SQIR9CD\\u002fI\\u002feYLmSOwD8T\\u002f9V42hvVbvP4Ni2SL8SOw\\u002fRcO9GmEX6T8eb+Vd\\u002fe3lP5oqq5C06OI\\u002fkE397QoU4D+j5mcqveHaP4Dml8ZO8tU\\u002frU5ZsCVI0T8Es6+gYqLJP2ZQzJ30+cA\\u002ftJZMp4fxsD+1sV8w\\u002fWGGPB0OEPEyKbG\\u002f1914UMlzwb9QWaSPJtnKv90aCQN2hNK\\u002fDLmYXGsh2L8JAtrBy1bev\\u002f9ivtcZkOK\\u002faUl1BXks5r+VWhAeetzpvw8LqwVMbO2\\u002fxCZ3hN5O8L9I\\u002fcVBTZjxv32ga+5pdvK\\u002fAe5nhDLW8r\\u002fRxBU4TLHyv8WQIR9CD\\u002fK\\u002feoLmSOwD8b\\u002f+V42hvVbvv4Zi2SL8SOy\\u002fRcO9GmEX6b8fb+Vd\\u002fe3lv50qq5C06OK\\u002fkE397QoU4L+n5mcqveHav4Tml8ZO8tW\\u002ftU5ZsCVI0b8Fs6+gYqLJv21QzJ30+cC\\u002fzpZMp4fxsL9HxUfkfcmgvA0OEPEyKbE\\u002fyd14UMlzwT9NWaSPJtnKP9kaCQN2hNI\\u002fArmYXGsh2D8GAtrBy1beP\\u002f5ivtcZkOI\\u002fZEl1BXks5j+VWhAeetzpPwsLqwVMbO0\\u002fwyZ3hN5O8D9I\\u002fcVBTZjxP32ga+5pdvI\\u002fAu5nhDLW8j\\u002fSxBU4TLHyP9o\\u002fZ3Giv\\u002fI\\u002f\\u002f9lKUNor8j\\u002f4NulvRSrxP99UPUQUrO8\\u002fT4LhMHqc7D9nkxJL1GDpP76omzSbKOY\\u002fYUEBqzgT4z8EGWwx+S\\u002fgPyYvzamcAts\\u002f5aAxnSID1j+XfNeN+U7RPzPLrV34pMk\\u002fCuG8onj3wD\\u002fMwpMC7OqwP98i\\u002fQnJUoY8XQqaNQIXsb+RPivcj1jBv8lF5w\\u002fknsq\\u002fM+l0af9P0r87Uw7xDs7XvyTUUIGK392\\u002fUHna9HNC4r+9J2m248\\u002flv79PmDVMd+m\\u002fe7lksYcH7b\\u002fL8yNA8CHwvwOECCn9dfG\\u002fY0ORAd1i8r9\\u002fozTQq9Pyv9o\\u002fZ3Giv\\u002fK\\u002f\\u002f9lKUNor8r\\u002f4NulvRSrxv+BUPUQUrO+\\u002fUoLhMHqc7L9nkxJL1GDpv76omzSbKOa\\u002fY0EBqzgT478EGWwx+S\\u002fgvygvzamcAtu\\u002f66AxnSID1r+ffNeN+U7RvzjLrV34pMm\\u002fEeG8onj3wL\\u002fkwpMC7OqwvyfafccWvqC8TQqaNQIXsT+CPivcj1jBP8RF5w\\u002fknso\\u002fMel0af9P0j8yUw7xDs7XPyHUUIGK390\\u002fT3na9HNC4j+4J2m248\\u002flP79PmDVMd+k\\u002feLlksYcH7T\\u002fI8yNA8CHwPwSECCn9dfE\\u002fYkORAd1i8j9\\u002fozTQq9PyP9o\\u002fZ3Giv\\u002fI\\u002fvOewgbnL8j+lBuyp\\u002f0byPzKFW\\u002fdIUPE\\u002fWL3Co5UB8D9MFJ7j0vPsP8PY7AiAr+k\\u002fppIKp+Jo5j\\u002fo8qpOAEPjP2pCUts4UOA\\u002f0\\u002fSjyNsp2z8LtBgfSRjWP0xJLGiUWNE\\u002f2uBRyQ+ryT8+fsfwLvfAPxGBw4ev5rA\\u002f0k\\u002fjX1tHhjzu5K5veQixv6b7b\\u002ff4QcG\\u002f9vj6WgZtyr\\u002f4h4ivyiHSvwd5bA2mgte\\u002fUyi4vvRw3b8CNrJrzvjhvy+\\u002f07BCduW\\u002flnsPsngT6b+CNkKmOqLsv95I51yb5++\\u002fqWjVSK9R8b833J5n0Uzyv+HVOgqLzvK\\u002fvOewgbnL8r+nBuyp\\u002f0byvzKFW\\u002fdIUPG\\u002fWL3Co5UB8L9QFJ7j0vPsv8LY7AiAr+m\\u002fp5IKp+Jo5r\\u002fs8qpOAEPjv2pCUts4UOC\\u002f1vSjyNsp278RtBgfSRjWv1NJLGiUWNG\\u002f3uBRyQ+ryb9FfsfwLvfAvyuBw4ev5rC\\u002f3Xvqh4S1oLzf5K5veQixP5f7b\\u002ff4QcE\\u002f8vj6WgZtyj\\u002f0h4ivyiHSP\\u002f54bA2mgtc\\u002fUSi4vvRw3T8BNrJrzvjhPyq\\u002f07BCduU\\u002flHsPsngT6T+BNkKmOqLsP9pI51yb5+8\\u002fqGjVSK9R8T823J5n0UzyP+HVOgqLzvI\\u002fvOewgbnL8j\\u002fNJ8klVdXyPzXBo\\u002fFVYPI\\u002fGFy6XId18T+dgWOAkC3wP8NlCxxHTu0\\u002fdnKnhuIC6j8F\\u002f7ntlq7mP701MXkHeOM\\u002f9CaZ8uV04D\\u002fspcVvv1fbP72gL8jxMdY\\u002ftTKm4ARl0T8R65QPkLTJP28elYTk+MA\\u002fshojoHrksD9+EbJnDz+GPM5qUQL6\\u002fLC\\u002f5JNjv1Ivwb9uwX8HjELKv09QTRZS+dG\\u002fu\\u002fOlkto+17\\u002fbDmkiFgvdv0ubaUJss+G\\u002f1clY5Q8g5b92WgaSmrHov2uZhy0EPey\\u002fvn9Er3WJ7781b\\u002f\\u002fSkCvxv+0diwdVNPK\\u002f3TH\\u002fcbnG8r\\u002fNJ8klVdXyvzbBo\\u002fFVYPK\\u002fGFy6XId18b+egWOAkC3wv8llCxxHTu2\\u002fdnKnhuIC6r8E\\u002f7ntlq7mv781MXkHeOO\\u002f9CaZ8uV04L\\u002ftpcVvv1fbv8KgL8jxMda\\u002fvTKm4ARl0b8V65QPkLTJv3UelYTk+MC\\u002fyxojoHrksL8ejcWNS6+gvL9qUQL6\\u002fLA\\u002f15Njv1IvwT9pwX8HjELKP0xQTRZS+dE\\u002fsvOlkto+1z\\u002fYDmkiFgvdP0qbaUJss+E\\u002f0clY5Q8g5T91WgaSmrHoP2qZhy0EPew\\u002fun9Er3WJ7z81b\\u002f\\u002fSkCvxP+0diwdVNPI\\u002f3TH\\u002fcbnG8j\\u002fNJ8klVdXyP5bEP+NL3PI\\u002f1uTHuJV38j\\u002fj6jxKpJnxP2SsZ+yXWfA\\u002fRoSGWSar7T\\u002ftBwd1fVrqP0e8AQl6+eY\\u002fcji9EUuy4z+p0rJdI57gPyzrPoiljNs\\u002fw3vIL2pQ1j\\u002fxn6wYdnTRP2ya3BeOwck\\u002fSmKyK4b8wD9zaCVgF+SwP1sdpuFuOYY88m1UxQf0sL8IDBHwByDBv\\u002fDBpAyOHsq\\u002fHpLp6xPW0b+TeHz3TALXvx8neCDmrdy\\u002fByhZQ4Vy4b8q6IKZvc3kv6xM+1hLUui\\u002fK2u3MIjY679rYycLASrvv2aqJRvWA\\u002fG\\u002feW6QJ4AZ8r+VFLHsLrzyv5bEP+NL3PK\\u002f2OTHuJV38r\\u002fj6jxKpJnxv2WsZ+yXWfC\\u002fTISGWSar7b\\u002ftBwd1fVrqv0e8AQl6+ea\\u002fdji9EUuy47+p0rJdI57gvy7rPoiljNu\\u002fx3vIL2pQ1r\\u002f5n6wYdnTRv3Ca3BeOwcm\\u002fUWKyK4b8wL+NaCVgF+SwvwSWPCkTq6C8421UxQf0sD\\u002f7CxHwByDBP+zBpAyOHso\\u002fHJLp6xPW0T+JeHz3TALXPxwneCDmrdw\\u002fBihZQ4Vy4T8m6IKZvc3kP6tM+1hLUug\\u002fKGu3MIjY6z9nYycLASrvP2WqJRvWA\\u002fE\\u002feW6QJ4AZ8j+UFLHsLrzyP5bEP+NL3PI\\u002fgTByN4Pg8j9S3GiUiIzyPx8IxVdTvPE\\u002fw1INclSF8D8LHYdjyQnuP895fmbPteo\\u002fsJQ0MkRJ5z9WGmb4vvHjP+RlBA8RzOA\\u002f2WZgj\\u002fTI2z8RrEQ4EnTWP93dwf4nh9E\\u002fsTZBuELSyT8xdfBrGgLBP2G\\u002fCLpr5bA\\u002foaJ8wCs2hjyWD75RRu2wv5sFihagE8G\\u002fMLAK90MAyr8bKl93lrfRv2HPCAaYzNa\\u002fuLdUzUhZ3L\\u002fqTuIrRDbhvzLZNL6yf+S\\u002fwsTSxh725782ugBpa3Xrv79Y11PVye6\\u002fFQ3z4Lja8L+gvv0Qc\\u002fzxv\\u002f6VQ8nurvK\\u002fgTByN4Pg8r9S3GiUiIzyvx8IxVdTvPG\\u002fw1INclSF8L8PHYdjyQnuv855fmbPteq\\u002fsZQ0MkRJ579aGmb4vvHjv+VlBA8RzOC\\u002f22Zgj\\u002fTI278WrEQ4EnTWv+Xdwf4nh9G\\u002fszZBuELSyb84dfBrGgLBv3y\\u002fCLpr5bC\\u002f+Xld0KCooLyID75RRu2wP40FihagE8E\\u002fKrAK90MAyj8YKl93lrfRP1jPCAaYzNY\\u002ft7dUzUhZ3D\\u002fpTuIrRDbhPy3ZNL6yf+Q\\u002fwsTSxh725z81ugBpa3XrP7tY11PVye4\\u002fFQ3z4Lja8D+gvv0Qc\\u002fzxP\\u002f6VQ8nurvI\\u002fgTByN4Pg8j9Vzh6K7OHyPymPcKMFn\\u002fI\\u002f1chW2FTd8T\\u002fQJ+tpd7DwP3l24y+Oae4\\u002fFiQndU8U6z8lHmcsnp3nP+foM+1GNuQ\\u002fA\\u002ficiMT+4D+mcBGmDg3cPyuR5t1SndY\\u002fmZcdvWmd0T9vsdhKBOfJP\\u002fjxdYi9CcE\\u002f9viXHXXosD+eLogVGjWGPOb4lx116LC\\u002f7\\u002fF1iL0Jwb9usdhKBOfJv5SXHb1pndG\\u002fJ5Hm3VKd1r+lcBGmDg3cv\\u002f\\u002f3nIjE\\u002fuC\\u002f4+gz7UY25L8jHmcsnp3nvxEkJ3VPFOu\\u002fdnbjL45p7r\\u002fQJ+tpd7Dwv9TIVthU3fG\\u002fKY9wowWf8r9Vzh6K7OHyvyuPcKMFn\\u002fK\\u002f1shW2FTd8b\\u002fQJ+tpd7Dwv3124y+Oae6\\u002fFyQndU8U678lHmcsnp3nv+roM+1GNuS\\u002fBPiciMT+4L+pcBGmDg3cvzGR5t1Snda\\u002fopcdvWmd0b90sdhKBOfJv\\u002f7xdYi9CcG\\u002fEPmXHXXosL\\u002f2IiaQ06egvNb4lx116LA\\u002f4fF1iL0JwT9qsdhKBOfJP5GXHb1pndE\\u002fHpHm3VKd1j+hcBGmDg3cP\\u002f73nIjE\\u002fuA\\u002f3+gz7UY25D8jHmcsnp3nPxAkJ3VPFOs\\u002fcnbjL45p7j\\u002fPJ+tpd7DwP9TIVthU3fE\\u002fKY9wowWf8j9Vzh6K7OHyP4EwcjeD4PI\\u002f\\u002fpVDye6u8j+gvv0Qc\\u002fzxPxYN8+C42vA\\u002fw1jXU9XJ7j87ugBpa3XrP8LE0sYe9uc\\u002fNdk0vrJ\\u002f5D\\u002fuTuIrRDbhP7u3VM1IWdw\\u002fZc8IBpjM1j8hKl93lrfRPzKwCvdDAMo\\u002fowWKFqATwT+mD75RRu2wP6GifMArNoY8Ub8IumvlsL8odfBrGgLBv642QbhC0sm\\u002f193B\\u002fieH0b8NrEQ4EnTWv9ZmYI\\u002f0yNu\\u002f4WUEDxHM4L9TGmb4vvHjv7CUNDJESee\\u002fy3l+Zs+16r8IHYdjyQnuv8JSDXJUhfC\\u002fHgjFV1O88b9S3GiUiIzyv4EwcjeD4PK\\u002f\\u002f5VDye6u8r+fvv0Qc\\u002fzxvxcN8+C42vC\\u002fxVjXU9XJ7r86ugBpa3Xrv8PE0sYe9ue\\u002fONk0vrJ\\u002f5L\\u002fvTuIrRDbhv763VM1IWdy\\u002fas8IBpjM1r8pKl93lrfRvzWwCvdDAMq\\u002fqgWKFqATwb\\u002fAD75RRu2wv\\u002fl5XdCgqKC8Q78IumvlsD8bdfBrGgLBP6k2QbhC0sk\\u002f1N3B\\u002fieH0T8FrEQ4EnTWP9VmYI\\u002f0yNs\\u002f32UEDxHM4D9OGmb4vvHjP6+UNDJESec\\u002fyHl+Zs+16j8EHYdjyQnuP8JSDXJUhfA\\u002fHgjFV1O88T9S3GiUiIzyP4EwcjeD4PI\\u002flsQ\\u002f40vc8j+VFLHsLrzyP3tukCeAGfI\\u002fZaolG9YD8T9sYycLASrvPzBrtzCI2Os\\u002frkz7WEtS6D8v6IKZvc3kPwooWUOFcuE\\u002fIid4IOat3D+XeHz3TALXPySS6esT1tE\\u002f88GkDI4eyj8RDBHwByDBPwJuVMUH9LA\\u002fWx2m4W45hjxjaCVgF+Swv0JisiuG\\u002fMC\\u002faprcF47Byb\\u002frn6wYdnTRv797yC9qUNa\\u002fKus+iKWM27+l0rJdI57gv244vRFLsuO\\u002fRrwBCXr55r\\u002foBwd1fVrqv0WEhlkmq+2\\u002fZKxn7JdZ8L\\u002fi6jxKpJnxv9bkx7iVd\\u002fK\\u002flsQ\\u002f40vc8r+VFLHsLrzyv3tukCeAGfK\\u002fZ6olG9YD8b9wYycLASrvvzBrtzCI2Ou\\u002frUz7WEtS6L8y6IKZvc3kvwsoWUOFcuG\\u002fIyd4IOat3L+ceHz3TALXvy2S6esT1tG\\u002f98GkDI4eyr8YDBHwByDBvxxuVMUH9LC\\u002fBJY8KROroLxUaCVgF+SwPzVisiuG\\u002fMA\\u002fZprcF47ByT\\u002fpn6wYdnTRP7Z7yC9qUNY\\u002fJ+s+iKWM2z+k0rJdI57gP2o4vRFLsuM\\u002fRbwBCXr55j\\u002fnBwd1fVrqP0GEhlkmq+0\\u002fZKxn7JdZ8D\\u002fh6jxKpJnxP9Xkx7iVd\\u002fI\\u002flsQ\\u002f40vc8j\\u002fNJ8klVdXyP90x\\u002f3G5xvI\\u002f7h2LB1U08j81b\\u002f\\u002fSkCvxP79\\u002fRK91ie8\\u002fcJmHLQQ97D93WgaSmrHoP9rJWOUPIOU\\u002fUJtpQmyz4T\\u002feDmkiFgvdP7\\u002fzpZLaPtc\\u002fVFBNFlL50T9vwX8HjELKP+2TY79SL8E\\u002f3mpRAvr8sD99EbJnDz+GPKIaI6B65LC\\u002fZh6VhOT4wL8Q65QPkLTJv7AypuAEZdG\\u002fuaAvyPEx1r\\u002fppcVvv1fbv\\u002fAmmfLldOC\\u002fuTUxeQd4478D\\u002f7ntlq7mv3Fyp4biAuq\\u002fwGULHEdO7b+cgWOAkC3wvxdculyHdfG\\u002fNMGj8VVg8r\\u002fNJ8klVdXyv94x\\u002f3G5xvK\\u002f7h2LB1U08r81b\\u002f\\u002fSkCvxv8V\\u002fRK91ie+\\u002fcpmHLQQ97L93WgaSmrHov97JWOUPIOW\\u002fUJtpQmyz4b\\u002ffDmkiFgvdv8TzpZLaPte\\u002fXVBNFlL50b91wX8HjELKv\\u002fWTY79SL8G\\u002f+WpRAvr8sL8djcWNS6+gvJMaI6B65LA\\u002fWh6VhOT4wD8M65QPkLTJP60ypuAEZdE\\u002fsaAvyPEx1j\\u002fnpcVvv1fbP+8mmfLldOA\\u002ftDUxeQd44z8C\\u002f7ntlq7mP29yp4biAuo\\u002fvGULHEdO7T+cgWOAkC3wPxdculyHdfE\\u002fNMGj8VVg8j\\u002fNJ8klVdXyP7znsIG5y\\u002fI\\u002f49U6CovO8j853J5n0UzyP6ho1UivUfE\\u002f30jnXJvn7z+GNkKmOqLsP5d7D7J4E+k\\u002fM7\\u002fTsEJ25T8FNrJrzvjhP1UouL70cN0\\u002fC3lsDaaC1z\\u002f+h4ivyiHSP\\u002fj4+loGbco\\u002frftv9\\u002fhBwT\\u002f+5K5veQixP9JP419bR4Y8AIHDh6\\u002fmsL81fsfwLvfAv9jgUckPq8m\\u002fR0ksaJRY0b8HtBgfSRjWv9H0o8jbKdu\\u002fZkJS2zhQ4L\\u002fl8qpOAEPjv6WSCqfiaOa\\u002fv9jsCICv6b9KFJ7j0vPsv1i9wqOVAfC\\u002fMIVb90hQ8b+kBuyp\\u002f0byv7znsIG5y\\u002fK\\u002f49U6CovO8r853J5n0Uzyv6lo1UivUfG\\u002f5UjnXJvn77+HNkKmOqLsv5h7D7J4E+m\\u002fN7\\u002fTsEJ25b8GNrJrzvjhv1gouL70cN2\\u002fEHlsDaaC178GiIivyiHSv\\u002f34+loGbcq\\u002ftPtv9\\u002fhBwb8Z5a5veQixv9176oeEtaC88YDDh6\\u002fmsD8ofsfwLvfAP9TgUckPq8k\\u002fQ0ksaJRY0T8AtBgfSRjWP8\\u002f0o8jbKds\\u002fZkJS2zhQ4D\\u002fg8qpOAEPjP6SSCqfiaOY\\u002fvNjsCICv6T9FFJ7j0vPsP1i9wqOVAfA\\u002fMIVb90hQ8T+kBuyp\\u002f0byP7znsIG5y\\u002fI\\u002f2j9ncaK\\u002f8j9\\u002fozTQq9PyP2JDkQHdYvI\\u002fA4QIKf118T\\u002fL8yNA8CHwP4G5ZLGHB+0\\u002fwE+YNUx36T\\u002fBJ2m248\\u002flP1R52vRzQuI\\u002fJ9RQgYrf3T8\\u002fUw7xDs7XPzrpdGn\\u002fT9I\\u002fzEXnD+Seyj+aPivcj1jBP24KmjUCF7E\\u002f3yL9CclShjy9wpMC7OqwvwLhvKJ498C\\u002fMcutXfikyb+SfNeN+U7Rv+KgMZ0iA9a\\u002fJC\\u002fNqZwC278BGWwx+S\\u002fgv11BAas4E+O\\u002fvKibNJso5r9jkxJL1GDpv0yC4TB6nOy\\u002f3VQ9RBSs77\\u002f3NulvRSrxv\\u002f7ZSlDaK\\u002fK\\u002f2j9ncaK\\u002f8r+AozTQq9Pyv2JDkQHdYvK\\u002fBYQIKf118b\\u002fM8yNA8CHwv4C5ZLGHB+2\\u002fwk+YNUx36b\\u002fFJ2m248\\u002flv1V52vRzQuK\\u002fKdRQgYrf3b9HUw7xDs7Xv0PpdGn\\u002fT9K\\u002f0EXnD+Seyr+hPivcj1jBv4kKmjUCF7G\\u002fJ9p9xxa+oLytwpMC7OqwP\\u002fTgvKJ498A\\u002fLsutXfikyT+OfNeN+U7RP9mgMZ0iA9Y\\u002fIi\\u002fNqZwC2z8AGWwx+S\\u002fgP1lBAas4E+M\\u002fvKibNJso5j9gkxJL1GDpP0eC4TB6nOw\\u002f3VQ9RBSs7z\\u002f3NulvRSrxP\\u002f3ZSlDaK\\u002fI\\u002f2j9ncaK\\u002f8j\\u002fSxBU4TLHyPwPuZ4Qy1vI\\u002ff6Br7ml28j9J\\u002fcVBTZjxP8Ymd4TeTvA\\u002fEwurBUxs7T+XWhAeetzpP25JdQV5LOY\\u002fBWO+1xmQ4j8MAtrBy1bePxG5mFxrIdg\\u002f5BoJA3aE0j9VWaSPJtnKP+HdeFDJc8E\\u002fLg4Q8TIpsT+1sV8w\\u002fWGGPKWWTKeH8bC\\u002fX1DMnfT5wL8Bs6+gYqLJv6hOWbAlSNG\\u002ffeaXxk7y1b+h5mcqveHav41N\\u002fe0KFOC\\u002fmCqrkLTo4r8eb+Vd\\u002fe3lv0PDvRphF+m\\u002fgGLZIvxI7L\\u002f9V42hvVbvv3iC5kjsA\\u002fG\\u002fw5AhH0IP8r\\u002fSxBU4TLHyvwTuZ4Qy1vK\\u002ff6Br7ml28r9K\\u002fcVBTZjxv8cmd4TeTvC\\u002fEwurBUxs7b+XWhAeetzpv3JJdQV5LOa\\u002fBmO+1xmQ4r8QAtrBy1bevxi5mFxrIdi\\u002f7BoJA3aE0r9ZWaSPJtnKv+jdeFDJc8G\\u002fSQ4Q8TIpsb9HxUfkfcmgvJaWTKeH8bA\\u002fUVDMnfT5wD\\u002f\\u002fsq+gYqLJP6dOWbAlSNE\\u002fdeaXxk7y1T+g5mcqveHaP4xN\\u002fe0KFOA\\u002flCqrkLTo4j8eb+Vd\\u002fe3lP0HDvRphF+k\\u002ffGLZIvxI7D\\u002f9V42hvVbvP3eC5kjsA\\u002fE\\u002fwpAhH0IP8j\\u002fRxBU4TLHyP\\u002fqT9\\u002f8JofI\\u002fYF0fjkjW8j9VBE\\u002fzd4fyP\\u002f5yCu97uPE\\u002fXC12Clt68D\\u002fAPk9X8M\\u002ftPy7zvEppQuo\\u002fVUVHsIOL5j91eV3DcuHiPwORVACW1t4\\u002fH8wbDgJ92D8zGATGsb\\u002fSP1rvbJzgHMs\\u002fOf2Ka3CUwT\\u002fg+K\\u002f0zD+xP\\u002fY9MfzPdYY85950sAH7sL+uXU3g\\u002fP7Av3puggeho8m\\u002fZS1Qti9E0b8De9mLyeXVv+j\\u002fY7cjx9q\\u002fAqkAOcj437\\u002fOzV+zhMPivzoGhkBPueW\\u002fOrIe8rPT6L+OxMhwLPrrv5Ue7zQqBO+\\u002fnyQyE8Pd8L9ghvi3q\\u002fHxv\\u002fqT9\\u002f8JofK\\u002fYV0fjkjW8r9UBE\\u002fzd4fyv\\u002f5yCu97uPG\\u002fXS12Clt68L\\u002fBPk9X8M\\u002ftvzDzvEppQuq\\u002fV0VHsIOL5r93eV3DcuHivwSRVACW1t6\\u002fI8wbDgJ92L88GATGsb\\u002fSv13vbJzgHMu\\u002fQP2Ka3CUwb\\u002f8+K\\u002f0zD+xv3juJP1b2KC82N50sAH7sD+gXU3g\\u002fP7AP3duggeho8k\\u002fYi1Qti9E0T\\u002f8etmLyeXVP+b\\u002fY7cjx9o\\u002fAakAOcj43z\\u002fJzV+zhMPiPzkGhkBPueU\\u002fObIe8rPT6D+JxMhwLPrrP5Ue7zQqBO8\\u002fnyQyE8Pd8D9ghvi3q\\u002fHxP\\u002fqT9\\u002f8JofI\\u002fWoNzsUmP8j+gork9LtTyP4vcgmIYlvI\\u002fvDc4DXLW8T9V5CP3MKTwPwAM3SXoMe4\\u002fdX8EsISo6j\\u002fi+0Q9gezmP6\\u002fxg\\u002fomNuM\\u002fKJ+oWate3z\\u002fC7rFTAuHYP6cz1I0qAtM\\u002fnPmwUihryz\\u002fIdHNSYrvBP7RoGRmxW7E\\u002fYJZpeU6PhjykFKqXBQixvxxe0x0ZB8G\\u002fk5+ckEupyb9ectkVXUPRv33pK17H3dW\\u002fI9bdDPSy2r\\u002faLRoZMNLfv2ICOZ\\u002fSo+K\\u002fAJVahOuK5b8NlxGebpbovwDT\\u002fCj5sOu\\u002fTOc2+YG17r\\u002fw3f59Z7jwv7Mmlgen0\\u002fG\\u002fWoNzsUmP8r+gork9LtTyv4rcgmIYlvK\\u002fvTc4DXLW8b9X5CP3MKTwv\\u002f8L3SXoMe6\\u002fdX8EsISo6r\\u002fm+0Q9gezmv7Dxg\\u002fomNuO\\u002fKp+oWate37\\u002fG7rFTAuHYv7Az1I0qAtO\\u002fn\\u002fmwUihry7\\u002fPdHNSYrvBv89oGRmxW7G\\u002fxzAP23rroLyVFKqXBQixPw9e0x0ZB8E\\u002fj5+ckEupyT9bctkVXUPRP3bpK17H3dU\\u002fItbdDPSy2j\\u002fYLRoZMNLfP14COZ\\u002fSo+I\\u002fAJVahOuK5T8LlxGebpboP\\u002fzS\\u002fCj5sOs\\u002fTOc2+YG17j\\u002fu3f59Z7jwP7Imlgen0\\u002fE\\u002fWYNzsUmP8j+NsmXYlnzyPz1JWKg+0PI\\u002fKFDHDXKi8j\\u002f\\u002flTEpKPLxPwv9Txo2zPA\\u002frTQuErSR7j+UQICSPA7rP28Eof3rTuc\\u002fUHSxTdON4z\\u002fMzganrO7fP4\\u002fwOaN6Tdk\\u002f3\\u002f6eB0JM0z+Q+F\\u002f6BMXLP\\u002faaemaD6cE\\u002fAy9pjdh9sT9tKZRCt6+GPH5HzcBsGbG\\u002fkX3kTQMTwb80eRsaSbTJvx6pby8pRtG\\u002fKhtN6L\\u002fa1b8MXh0onqXavzA8T9HBtN+\\u002fQYkSguuJ4r+fvp2MS2Plv3mWlvlOYOi\\u002fluDqIm9u679C+rgHFGzuv2t2ZhyQlPC\\u002ffuJs3+C18b+NsmXYlnzyvz1JWKg+0PK\\u002fJ1DHDXKi8r\\u002f\\u002flTEpKPLxvw79Txo2zPC\\u002frDQuErSR7r+WQICSPA7rv3MEof3rTue\\u002fUnSxTdON47\\u002fOzganrO7fv5PwOaN6Tdm\\u002f6f6eB0JM07+T+F\\u002f6BMXLv\\u002f2aemaD6cG\\u002fHi9pjdh9sb8RH+9xyQOhvG5HzcBsGbE\\u002fhH3kTQMTwT8xeRsaSbTJPxupby8pRtE\\u002fIhtN6L\\u002fa1T8JXh0onqXaPy88T9HBtN8\\u002fPYkSguuJ4j+fvp2MS2PlP3eWlvlOYOg\\u002fkeDqIm9u6z9C+rgHFGzuP2t2ZhyQlPA\\u002ffeJs3+C18T+MsmXYlnzyP\\u002fZ07uWbafI\\u002fmSgCYPLK8j8jJ3upxKzyP6P7BoypC\\u002fI\\u002fIJmk\\u002fkzy8D8MCHLw4+7uP6WraysHc+s\\u002f6K6mvDqy5z8lfFOsB+jjP\\u002fLsirIJQ+A\\u002f3qfQE0\\u002fC2T9niL5QOJ7TP8MgoT9aK8w\\u002fsa3NbbEfwj926IegSaexP9C3rlFx2IY8Y6802jswsb\\u002fkfT9hqCPBvx7UKX7Txcm\\u002fvTylO0lN0b89soI\\u002fdN3Vv7PbgIfnn9q\\u002fwuMXNUyh379JhT3TR3biv2mFvOgOQ+W\\u002fupWeQDQy6L9WpjH\\u002fuzPrvxOszqhVKe6\\u002f+d\\u002f7bAtz8L+Aa6e0Ipnxv\\u002fZ07uWbafK\\u002fmigCYPLK8r8iJ3upxKzyv6T7BoypC\\u002fK\\u002fIZmk\\u002fkzy8L8NCHLw4+7uv6eraysHc+u\\u002f666mvDqy578nfFOsB+jjv\\u002fTsirIJQ+C\\u002f46fQE0\\u002fC2b9xiL5QOJ7Tv8cgoT9aK8y\\u002fua3NbbEfwr+R6IegSaexv9wJQ\\u002f1UIqG8Uq802jswsT\\u002fXfT9hqCPBPxzUKX7Txck\\u002fvDylO0lN0T82soI\\u002fdN3VP7HbgIfnn9o\\u002fwOMXNUyh3z9EhT3TR3biP2mFvOgOQ+U\\u002fuZWeQDQy6D9SpjH\\u002fuzPrPxOszqhVKe4\\u002f+N\\u002f7bAtz8D9+a6e0IpnxP\\u002fZ07uWbafI\\u002fk5tuKiFX8j9CSF1L4MTyP9ID4PJqtfI\\u002fDEbyrBYj8j\\u002fV\\u002fa3LZhbxP3hOX8gYSe8\\u002fBIZ6N2HW6z9uovVm4BXoPykTRvZFROQ\\u002fCDoZZRaS4D9BrOk0MT\\u002faP7L1WV0h+NM\\u002f+Jpx\\u002fNKezD9+fdzas17CPw0QCgsJ2bE\\u002fgoG1qvwKhzxJ9UIMm02xv9zkRscjOsG\\u002f16drLHTfyb+d7jNCq1nRv3otLa3u5tW\\u002fzX1Eeuyi2r8w1jJM\\u002fJjfv6rjn1KOaeK\\u002fzOc1dP4q5b8X9BmXIA3ov8KcwqMsAuu\\u002fcWw4rt3u7b9AfyvCvFTwv8GhBwlQfvG\\u002fk5tuKiFX8r9CSF1L4MTyv9MD4PJqtfK\\u002fDUbyrBYj8r\\u002fX\\u002fa3LZhbxv3dOX8gYSe+\\u002fBIZ6N2HW679wovVm4BXovysTRvZFROS\\u002fCjoZZRaS4L9GrOk0MT\\u002fav7z1WV0h+NO\\u002f+ppx\\u002fNKezL+Gfdzas17CvygQCgsJ2bG\\u002fIiEIgD1Iobw49UIMm02xP87kRscjOsE\\u002f1KdrLHTfyT+Z7jNCq1nRP3MtLa3u5tU\\u002fyn1Eeuyi2j8u1jJM\\u002fJjfP6bjn1KOaeI\\u002fzOc1dP4q5T8W9BmXIA3oP72cwqMsAus\\u002fcWw4rt3u7T9AfyvCvFTwP8ChBwlQfvE\\u002fkptuKiFX8j8GjIQICUbyP9S2W\\u002fq7vvI\\u002f+kx99Nq88j+iriGMpjjyPyIekr+EOPE\\u002fT15y1wag7z\\u002fHO1LjzjfsP0jT1EhMeeg\\u002fOTGRuAGi5D9736a2C+TgP4o6Mbaaw9o\\u002fCi+ZltxZ1D+izEn3zR\\u002fNP0yUQqwrp8I\\u002f2IyhwwgUsj8e+W1l3UiHPPI78bbIcrG\\u002f4MSPBLVXwb9lNWjA9wLKv21JCw5vbNG\\u002fLFFB0nr41b+XXVgPGLDav9qRJDhWnd+\\u002f+xGhUpFk4r+i9lr\\u002fCRzlvz1\\u002furI18ue\\u002fWCyxYCfb6r9Sz2KEW77tv5RdKcyWOvC\\u002fK1SbKGFm8b8GjIQICUbyv9O2W\\u002fq7vvK\\u002f+kx99Nq88r+jriGMpjjyvyQekr+EOPG\\u002fT15y1wag77\\u002fHO1Ljzjfsv0zT1EhMeei\\u002fOjGRuAGi5L9936a2C+Tgv5I6Mbaaw9q\\u002fFC+ZltxZ1L+ozEn3zR\\u002fNv1SUQqwrp8K\\u002f9YyhwwgUsr\\u002fXehIMpnahvOM78bbIcrE\\u002f08SPBLVXwT9hNWjA9wLKP2pJCw5vbNE\\u002fJFFB0nr41T+VXVgPGLDaP9iRJDhWnd8\\u002f9xGhUpFk4j+i9lr\\u002fCRzlPzx\\u002furI18uc\\u002fUyyxYCfb6j9Tz2KEW77tP5RdKcyWOvA\\u002fKlSbKGFm8T8FjIQICUbyP12Cyh5JN\\u002fI\\u002farWMClG58j9SCDblo8PyP+scjICmTPI\\u002fVMkT+LhY8T+67cl3d\\u002fPvP1yUO1fdluw\\u002fLILTV+vb6D+pTrdXoQDlP4QyvkRiOOE\\u002fFPI3AcxO2z9Q\\u002f37lD8PUP8oyGtVOrs0\\u002fe\\u002fFjf4T5wj8+UM3LFVmyP+zbUGqCk4c8ugOROAehsb9Aj5Ber33BvxGlni1YMsq\\u002fjVluxdiG0b9zlLvFlRPWvy4t+kQSydq\\u002fJrJvyiKw37+AYtfnRWjiv2fBQvY\\u002fF+W\\u002fuX4CFqzi578goX5PIcDqv7CwA8KJme2\\u002fC6txtpMl8L\\u002fEg6QgW1Lxv12Cyh5JN\\u002fK\\u002farWMClG58r9RCDblo8Pyv+wcjICmTPK\\u002fVskT+LhY8b+57cl3d\\u002fPvv1yUO1fdluy\\u002fMYLTV+vb6L+pTrdXoQDlv4YyvkRiOOG\\u002fG\\u002fI3AcxO279a\\u002f37lD8PUv9AyGtVOrs2\\u002fhPFjf4T5wr9bUM3LFVmyv\\u002fCkvM+hrqG8qwOROAehsT8zj5Ber33BPw6lni1YMso\\u002filluxdiG0T9slLvFlRPWPy0t+kQSydo\\u002fJLJvyiKw3z99YtfnRWjiP2fBQvY\\u002fF+U\\u002fuH4CFqzi5z8boX5PIcDqP7GwA8KJme0\\u002fCqtxtpMl8D\\u002fDg6QgW1LxP12Cyh5JN\\u002fI\\u002fIvVoduAr8j+D7p16e7XyP68nCVhpyvI\\u002f7mxiHXhf8j8SXVs9JnfxP5LCW0ylIfA\\u002fjcnz2yTz7D8VyIOxKj3pP7VM\\u002fd+AX+U\\u002fbxvbqn6O4T8ZMJ5Yz9\\u002fbP+XVnu4mM9U\\u002f6PMt\\u002fvRJzj\\u002fDqZJX6FXDPy\\u002fHBJrGqLI\\u002f4CDL5CnshzziDFDzhtmxv8DWYHNkrcG\\u002ftuwLW55vyr9eEsedParRvzsca87WOda\\u002fFp34S6Xv2r9GTSytUtPfv\\u002fSxPle1deK\\u002fpmZcM78d5b9St\\u002fDqxN\\u002fnv8qkjgGPsuq\\u002fmLJRcRyC7b9QM0wIqxbwv4SOFxxFQ\\u002fG\\u002fIvVoduAr8r+D7p16e7Xyv64nCVhpyvK\\u002f7mxiHXhf8r8UXVs9Jnfxv5LCW0ylIfC\\u002fjcnz2yTz7L8XyIOxKj3pv7ZM\\u002fd+AX+W\\u002fcBvbqn6O4b8gMJ5Yz9\\u002fbv+\\u002fVnu4mM9W\\u002f7fMt\\u002fvRJzr\\u002fMqZJX6FXDv0vHBJrGqLK\\u002fqFiYax\\u002fxobzTDFDzhtmxP7LWYHNkrcE\\u002fs+wLW55vyj9aEsedParRPzQca87WOdY\\u002fFZ34S6Xv2j9DTSytUtPfP\\u002fCxPle1deI\\u002fpmZcM78d5T9Rt\\u002fDqxN\\u002fnP8akjgGPsuo\\u002fmLJRcRyC7T9PM0wIqxbwP4KOFxxFQ\\u002fE\\u002fIvVoduAr8j+cUssfyyTyP66P0igdtPI\\u002frv1TvtvR8j8C1kwAjXHyPxKrrIn+k\\u002fE\\u002fFu+KprtH8D\\u002fej7tHS0ztPxogUCF7nOk\\u002fhapHWfa95T+wxR0ZtuXhP6FA1mGAddw\\u002fhgNpr1ap1T9AbCl0+fHOPyHr4E83vMM\\u002fbvyVymsDsz9z+b3hxVOIPBGrX2NOHbK\\u002fwtuqWAvowb+B1BpDvbzKvxbdmPLr19G\\u002fU4ehUtJs1r8mAfHVmyXbv6WrP6hsBOC\\u002fQ1WD1emN4r+1x\\u002fnmozDlv2ZYuza36ue\\u002fr8\\u002fpI9Gz6r9DAXbPq3ntv2sXRrvFDvC\\u002fZilroRs68b+cUssfyyTyv66P0igdtPK\\u002frf1TvtvR8r8C1kwAjXHyvxSrrIn+k\\u002fG\\u002fFu+KprtH8L\\u002fgj7tHS0ztvx4gUCF7nOm\\u002fh6pHWfa95b+yxR0ZtuXhv6dA1mGAddy\\u002fkQNpr1ap1b9DbCl0+fHOvyrr4E83vMO\\u002fi\\u002fyVymsDs78We05p1D6ivAGrX2NOHbI\\u002ftduqWAvowT991BpDvbzKPxPdmPLr19E\\u002fTIehUtJs1j8kAfHVmyXbP6SrP6hsBOA\\u002fQFWD1emN4j+1x\\u002fnmozDlP2ZYuza36uc\\u002fqs\\u002fpI9Gz6j9DAXbPq3ntP2sXRrvFDvA\\u002fZSlroRs68T+cUssfyyTyP+XgVgH0IvI\\u002fP0UkGBG28j+KWsGTrtryP1RTqJRgg\\u002fI\\u002fVbjsIYCv8T+nMp1yBWzwP42GcygGou0\\u002ftGsgL1X56T\\u002fnk3AkVxvmP6qNFV1UPeI\\u002fBnz3TpcO3T8xZnwRpSTWP5QzPLQzpc8\\u002fIzhU+wMsxD82mViQBGmzP5WZJrrjyog8DP1hfiJtsr\\u002fDUjt1pi7Cv0Gh77NpG8u\\u002f63aWtxAR0r9Aslhp+a3Wv3EEJFSbbNu\\u002fdIXccEEp4L9EtA9G2LHivyExkSPxUOW\\u002fJF5BwJkE6L\\u002f9z3BMHsXqvyQdIr6cge2\\u002fh8XzO7EO8L81cz56wjfxv+TgVgH0IvK\\u002fP0UkGBG28r+JWsGTrtryv1VTqJRgg\\u002fK\\u002fVrjsIYCv8b+oMp1yBWzwv42GcygGou2\\u002ft2sgL1X56b\\u002fok3AkVxvmv6yNFV1UPeK\\u002fDnz3TpcO3b88ZnwRpSTWv5gzPLQzpc+\\u002fLDhU+wMsxL9UmViQBGmzvy\\u002fznMsqmKK8+\\u002fxhfiJtsj+2Ujt1pi7CPz6h77NpG8s\\u002f53aWtxAR0j84slhp+a3WP24EJFSbbNs\\u002fc4XccEEp4D9AtA9G2LHiPyExkSPxUOU\\u002fIl5BwJkE6D\\u002f5z3BMHsXqPyQdIr6cge0\\u002fh8XzO7EO8D80cz56wjfxP+TgVgH0IvI\\u002f2asL6SUn8j+qYPxtHbzyP2TJZd6M5fI\\u002fvFhrGnCV8j9jrGs68cnxP2qgmg+TjvA\\u002fUGl2BRz07T9HALMCPVPqP5oNlqb9duY\\u002f8xcdnqKU4j+N2ShOtqndP5zsZn7zo9Y\\u002f6H53cBIx0D\\u002fiR7avlKTEP6UZzAA42bM\\u002fYxKvv5hRiTwTZcu1ccmyv1RT7J3qgcK\\u002fYtByd\\u002fKMy7+35U+1nFbSv4M3SwJ5\\u002fta\\u002fZBTKo\\u002f3F278a39Cf5Fjgv8zmIBJJ4uK\\u002fURT5GHl\\u002f5b9e2bqCSy7ovwrPNpxr5+q\\u002fOOAtjwib7b+9AmU\\u002fEhfwvydUoUz2PPG\\u002f2asL6SUn8r+pYPxtHbzyv2TJZd6M5fK\\u002fvVhrGnCV8r9lrGs68cnxv2mgmg+TjvC\\u002fUGl2BRz07b9LALMCPVPqv5sNlqb9dua\\u002f9BcdnqKU4r+U2ShOtqndv6jsZn7zo9a\\u002f6X53cBIx0L\\u002frR7avlKTEv8QZzAA42bO\\u002fyk3DjzL9orwCZcu1ccmyP0ZT7J3qgcI\\u002fX9Byd\\u002fKMyz+05U+1nFbSP3s3SwJ5\\u002ftY\\u002fYhTKo\\u002f3F2z8a39Cf5FjgP8nmIBJJ4uI\\u002fURT5GHl\\u002f5T9c2bqCSy7oPwTPNpxr5+o\\u002fOOAtjwib7T+9AmU\\u002fEhfwPyVUoUz2PPE\\u002f2asL6SUn8j+tkXMl\\u002fTHyP+pRDVrlxvI\\u002fwR7l8gzz8j9pZyOAMajyPzRkFVWa4\\u002fE\\u002f950hGHyv8D\\u002fHzDsiZELuP8dqPVnFqeo\\u002fsbZQak7Q5j9Dj97q7eriPzzKmY53Rd4\\u002fFTrlHQsm1z9MGuXag5PQPz\\u002fEjm7pJMU\\u002f9Lzc2FNTtD8U9v8ndueJPDkYJ8tDMrO\\u002fWqVlAyriwr9EHf3fHBLMv1yuaSwsqdK\\u002fv2vxyRtf17\\u002f16mPRrTLcv\\u002f7OcQrWk+C\\u002f2YrTWcIf47+L7HFHxrzlv7KWT9RcaOi\\u002fAfzvMlYb678vHKsapsbtv+OxAnpYKPC\\u002fHJJ3FT9K8b+tkXMl\\u002fTHyv+pRDVrlxvK\\u002fvx7l8gzz8r9qZyOAMajyvzVkFVWa4\\u002fG\\u002f9p0hGHyv8L\\u002fHzDsiZELuv8pqPVnFqeq\\u002fsrZQak7Q5r9Ej97q7eriv0XKmY53Rd6\\u002fHzrlHQsm179NGuXag5PQv0nEjm7pJMW\\u002fFL3c2FNTtL+O+P+dmG2jvCcYJ8tDMrM\\u002fTaVlAyriwj9CHf3fHBLMP1iuaSwsqdI\\u002ft2vxyRtf1z\\u002fy6mPRrTLcP\\u002f3OcQrWk+A\\u002f1YrTWcIf4z+L7HFHxrzlP7GWT9RcaOg\\u002f\\u002fPvvMlYb6z8vHKsapsbtP+OxAnpYKPA\\u002fGpJ3FT9K8T+skXMl\\u002fTHyP0pEK\\u002fvaQ\\u002fI\\u002ft1SOONzW8j+nU0+ZpAPzP3yM5tQJvPI\\u002fi9t2ur\\u002f88T9mU9Xe287wP6QXqmDEjO4\\u002fEU1W6JD86j\\u002fW2sftuybnP4dTLbuMP+M\\u002f+YKIH3rg3j+qPYlBqanXPx6vv6fx+NA\\u002fA1C+qMWrxT+W8TzJUNa0P+pdoHuFi4o8+VhyMzCns7+R1zQwRU\\u002fDvxRpY2wJq8y\\u002fcNPNVfMI07\\u002fx0xW9MdDXv8U\\u002fMloLs9y\\u002ftbWw\\u002fEfa4L+zC7ymdWrjv3BPP+4HCea\\u002fG2qiefuy6L\\u002fooc2LD2Hrv\\u002f+ZkCi2BO6\\u002f1JatTLRC8L\\u002fUuwm85F\\u002fxv0pEK\\u002fvaQ\\u002fK\\u002ft1SOONzW8r+lU0+ZpAPzv3yM5tQJvPK\\u002fjNt2ur\\u002f88b9nU9Xe287wv6QXqmDEjO6\\u002fFk1W6JD86r\\u002fY2sftuybnv4hTLbuMP+O\\u002fAIOIH3rg3r+2PYlBqanXvx+vv6fx+NC\\u002fDlC+qMWrxb+28TzJUNa0v29GuByk6KO851hyMzCnsz+E1zQwRU\\u002fDPw9pY2wJq8w\\u002fbNPNVfMI0z\\u002fp0xW9MdDXP8I\\u002fMloLs9w\\u002ftLWw\\u002fEfa4D+vC7ymdWrjP3BPP+4HCeY\\u002fG2qiefuy6D\\u002fjoc2LD2HrP\\u002f6ZkCi2BO4\\u002f1JatTLRC8D\\u002fSuwm85F\\u002fxP0pEK\\u002fvaQ\\u002fI\\u002fhYU3Ntxc8j9a9R03O+zyP9EVRLyeF\\u002fM\\u002fPEdsOETR8j\\u002fzuQ6dmhXyP5l0Zx3N7PA\\u002fWG1kNS3T7j\\u002frgv3MUUvrP9VxyYzIeec\\u002fvHTHt+KR4z+H4i8ubHnfP1vhtZeKLdg\\u002fkx4WVk9g0T9gmNrCvDfGP1d3k83bYLU\\u002fGLZw7k08izxJdeIcXCe0v6Kim7+jyMO\\u002ffVuzdCNXzb89D1fDsXXTv2oiEtV\\u002fUdi\\u002fTm71rNZG3b\\u002ftcmLhEyzhv\\u002fxWc+4ywuO\\u002f0B9isgNk5r\\u002fhlhax4w3pv9fq075OuOu\\u002fDVdyGfVU7r8F0spnD2bwv2Q99dzmffG\\u002fhYU3Ntxc8r9Z9R03O+zyv9EVRLyeF\\u002fO\\u002fPUdsOETR8r\\u002f1uQ6dmhXyv5l0Zx3N7PC\\u002fWW1kNS3T7r\\u002fxgv3MUUvrv9dxyYzIeee\\u002fvXTHt+KR47+Q4i8ubHnfv2bhtZeKLdi\\u002flR4WVk9g0b9rmNrCvDfGv3h3k83bYLW\\u002fkojUcjptpLw2deIcXCe0P5Oim7+jyMM\\u002feluzdCNXzT86D1fDsXXTP2IiEtV\\u002fUdg\\u002fTW71rNZG3T\\u002fscmLhEyzhP\\u002fhWc+4ywuM\\u002f0B9isgNk5j\\u002fglhax4w3pP9Tq075OuOs\\u002fC1dyGfVU7j8F0spnD2bwP2M99dzmffE\\u002fhYU3Ntxc8j8AIEDa03zyP6shYpX6BvM\\u002ftEzJtRMv8z915po2CujyPzdAkpVSLvI\\u002fSpfHPWUJ8T+HaZIAlBXvP21sHALHles\\u002fEzxuTAbJ5z9i8gdoYuHjPzUNlNOIB+A\\u002fvKTnDnSw2D+IO8p4icjRP2h0JhRAx8Y\\u002fwQtDmmPxtT8ywrEf4veLPPpX316AsbS\\u002fRBzMqDVNxL\\u002f1eSuxHRXOvwdcSPOt7tO\\u002ffnjzZDni2L\\u002fzME25KO3dv9fohA+1iOG\\u002fHlreKGIm5L+XAeT6Dc3mv+EJ9ddXeOm\\u002fXNouTEgg7L+M9CJmk7buv4pTOzIJkvC\\u002f6w2fr\\u002fij8b8AIEDa03zyv6shYpX6BvO\\u002fs0zJtRMv87915po2CujyvzhAkpVSLvK\\u002fSpfHPWUJ8b+IaZIAlBXvv29sHALHleu\\u002fFTxuTAbJ579j8gdoYuHjvzkNlNOIB+C\\u002fyKTnDnSw2L+JO8p4icjRv3N0JhRAx8a\\u002f5AtDmmPxtb+lUcWX6fmkvOhX316AsbQ\\u002fNhzMqDVNxD\\u002fyeSuxHRXOPwRcSPOt7tM\\u002fdnjzZDni2D\\u002fxME25KO3dP9bohA+1iOE\\u002fGlreKGIm5D+XAeT6Dc3mP+AJ9ddXeOk\\u002fWNouTEgg7D+K9CJmk7buP4pTOzIJkvA\\u002f6g2fr\\u002fij8T8AIEDa03zyP\\u002fOWBJlKo\\u002fI\\u002fAFoISc8m8z+Zvr8V5UnzP+peDGZeAPM\\u002fKe+NMPhG8j\\u002fHtVnFryTxPwLcs3bsU+8\\u002fxSn4O7jb6z8u\\u002fB6xFBToPwTbC8WMLeQ\\u002fhStMcyNQ4D8+CWnJODHZPy7eHXuNMNI\\u002f65BfGq1Yxz+gXVPXKIa2PxA85ev0u4w8d6dpyfZDtb9C+OcSfdvEv9bghBT84s6\\u002fbRHHkLly1L8l3XrEA4HZvyLqBUB2pN6\\u002f1VD+Kkrv4b+k2dIUBJbkv+af+dkJQ+e\\u002fdaFRtR\\u002fx6b8TDAGSrZfsv\\u002fEU\\u002fgs2KO+\\u002fD5yZePfF8L8TnfqSgdHxv\\u002fOWBJlKo\\u002fK\\u002fAFoISc8m87+Zvr8V5Unzv+peDGZeAPO\\u002fKu+NMPhG8r\\u002fHtVnFryTxvwLcs3bsU++\\u002fxyn4O7jb678v\\u002fB6xFBTovwbbC8WMLeS\\u002fiStMcyNQ4L9LCWnJODHZvzDeHXuNMNK\\u002f9pBfGq1Yx7\\u002fDXVPXKIa2vwvt67D3jKW8ZKdpyfZDtT8z+OcSfdvEP9PghBT84s4\\u002faRHHkLly1D8b3XrEA4HZPyHqBUB2pN4\\u002f1FD+Kkrv4T+h2dIUBJbkP+af+dkJQ+c\\u002fdKFRtR\\u002fx6T8ODAGSrZfsP\\u002fEU\\u002fgs2KO8\\u002fD5yZePfF8D8RnfqSgdHxP\\u002fOWBJlKo\\u002fI\\u002f226MRYPP8j8ByYRiLUvzPy84CWu9Z\\u002fM\\u002fDiuu7xka8z97eqE2gV\\u002fyP1M17HaqPvE\\u002f41MpBCKO7z\\u002fY1mPZ8BzsP0LNFCSdWug\\u002fKFLrD+915D+Mb6\\u002fo\\u002f5XgPw3qYwq9rtk\\u002fSg2Ck0+X0j9VbHHFWurHPyveo7RPHbc\\u002fvn+KVfOFjTzIqGGKzdy1vwZP6cGfccW\\u002fxBA1Diq+z7\\u002f90lX4PQDVv8c6BuADLNq\\u002fbb4dcp5q379qdVHknF7iv2s\\u002fkxO6D+W\\u002fNALsoXDE578pRpvEj3bqv18OHme0HO2\\u002fTHU5WP+n7799uS6P6wDxv8FidWaiBfK\\u002f226MRYPP8r8ByYRiLUvzvy84CWu9Z\\u002fO\\u002fDyuu7xka8799eqE2gV\\u002fyv1M17HaqPvG\\u002f41MpBCKO77\\u002fc1mPZ8Bzsv0XNFCSdWui\\u002fKVLrD+915L+Pb6\\u002fo\\u002f5XgvxjqYwq9rtm\\u002fTA2Ck0+X0r9gbHHFWurHv1Deo7RPHbe\\u002fzt8ngHYkpryzqGGKzdy1P\\u002fZO6cGfccU\\u002fwhA1Diq+zz\\u002f50lX4PQDVP786BuADLNo\\u002fa74dcp5q3z9pdVHknF7iP2g\\u002fkxO6D+U\\u002fNALsoXDE5z8oRpvEj3bqP1oOHme0HO0\\u002fTHU5WP+n7z99uS6P6wDxP8BidWaiBfI\\u002f226MRYPP8j9Jy\\u002fkBhADzP20RXxlPc\\u002fM\\u002fWOKzMxSI8z8ksrRd7TTzPxQf5zDHd\\u002fI\\u002fNmqitUJX8T+SGzUtEsTvP6Uzks46Wew\\u002faWAlsE6c6D+VuWqTH7rkP8Im+COi2OA\\u002fm1oIh\\u002fYn2j8xXRzIzvvSPwk3mwWlesg\\u002fAVZGZvG0tz8WYzIlIVOOPHZGfcveeba\\u002f4ERoaH4Nxr8eiQiDzVHQv4vkLsVPldW\\u002fnJU0U\\u002fTg2r\\u002fKihmxgR7gvyUscE4v1eK\\u002f1+YyXdSR5b9IYNWPYE\\u002fov+qRiiCYBuu\\u002fGF0zoCat7b9Gi3zozxnwv5JYcLC7QfG\\u002fohvqZT8\\u002f8r9Jy\\u002fkBhADzv2wRXxlPc\\u002fO\\u002fV+KzMxSI878lsrRd7TTzvxUf5zDHd\\u002fK\\u002fNmqitUJX8b+UGzUtEsTvv6kzks46Wey\\u002fbGAlsE6c6L+WuWqTH7rkv8Ym+COi2OC\\u002fqFoIh\\u002fYn2r8zXRzIzvvSvxU3mwWlesi\\u002fJVZGZvG0t79QyuXbWL6mvGFGfcveebY\\u002f0ERoaH4Nxj8diQiDzVHQP4fkLsVPldU\\u002flZU0U\\u002fTg2j\\u002fIihmxgR7gPyQscE4v1eI\\u002f1OYyXdSR5T9IYNWPYE\\u002foP+mRiiCYBus\\u002fEl0zoCat7T9Gi3zozxnwP5JYcLC7QfE\\u002foRvqZT8\\u002f8j9Jy\\u002fkBhADzP3LHbXMjNfM\\u002f9hC88T+e8z9+Q1KtNarzP6tWrLlkUPM\\u002fx+oBb4iP8j8NbGKRVG7xP8ak\\u002ftSI9e8\\u002fisY8dVqQ7D\\u002fInH752djoP4kX2SK6+eQ\\u002f4TSWo5UX4T+cdtPq6pvaPy9wbDgXXdM\\u002fs6QqH\\u002fYHyT8NdYVDLEu4P\\u002fzfZsa1II88Qu3aU+oYt79jV5+dz6zGvw\\u002fu+fP4x9C\\u002fpRP+g8cv1r\\u002f5iyHyQZ3bvyOp\\u002f\\u002ftUjOC\\u002fKYVKi01R47\\u002f5spNGZRrmv71YHVix4ei\\u002f0ByZAtqe6787pBCUeEbuvyWDriQ3ZPC\\u002fKgGgBBCH8b88WNjXDX3yv3LHbXMjNfO\\u002f9hC88T+e879+Q1KtNarzv6xWrLlkUPO\\u002fyeoBb4iP8r8NbGKRVG7xv8ik\\u002ftSI9e+\\u002fjMY8dVqQ7L\\u002fJnH752djov4oX2SK6+eS\\u002f5DSWo5UX4b+pdtPq6pvavzFwbDgXXdO\\u002fvqQqH\\u002fYHyb8zdYVDLEu4v\\u002f0nzVSIWKe8Lu3aU+oYtz9TV5+dz6zGPw3u+fP4x9A\\u002foBP+g8cv1j\\u002fyiyHyQZ3bPyGp\\u002f\\u002ftUjOA\\u002fKIVKi01R4z\\u002f0spNGZRrmP71YHVix4eg\\u002fzxyZAtqe6z83pBCUeEbuPyWDriQ3ZPA\\u002fKgGgBBCH8T87WNjXDX3yP3LHbXMjNfM\\u002fKoXG5xhs8z9q\\u002fEcG68rzP9s2HdlNzfM\\u002fcQN0pu5r8z9fVhqLa6byP1Aox7Crg\\u002fE\\u002ff1KHiR8R8D9OsyMIDMLsP1tMZkPuD+k\\u002fWutBKF005T8NSYYVa1LhP\\u002f3ltZStCds\\u002fNKH9G0O60z\\u002fMUqShzZDJP7jPQI4x3rg\\u002f4eb2E\\u002ffrjzzxmx\\u002fkrre3v6EvjvE7Tce\\u002fddzp\\u002f9U\\u002f0b8or9I6Xc3Wv+zVISUsXty\\u002feYH0RC\\u002f94L\\u002fA2MpAItHjv+swMfFXp+a\\u002fBSH05wx56b9Njis8wjzsv7zSdxjl5e6\\u002fwPHSx8Kx8L\\u002fk8Ztucs\\u002fxvyNmtYakvfK\\u002fKoXG5xhs879q\\u002fEcG68rzv9o2HdlNzfO\\u002fcgN0pu5r879gVhqLa6byv08ox7Crg\\u002fG\\u002ff1KHiR8R8L9QsyMIDMLsv11MZkPuD+m\\u002fW+tBKF005b8SSYYVa1LhvwnmtZStCdu\\u002fNqH9G0O607\\u002fYUqShzZDJv9\\u002fPQI4x3ri\\u002fKC35Tvnwp7zbmx\\u002fkrre3P5EvjvE7Tcc\\u002fc9zp\\u002f9U\\u002f0T8kr9I6Xc3WP+TVISUsXtw\\u002feIH0RC\\u002f94D+\\u002f2MpAItHjP+cwMfFXp+Y\\u002fBSH05wx56T9Kjis8wjzsP7jSdxjl5e4\\u002fwPHSx8Kx8D\\u002fk8Ztucs\\u002fxPyFmtYakvfI\\u002fKoXG5xhs8z+7JAkWDqTzP54trDQr+PM\\u002fLXHWsnXw8z\\u002fesgXO5YbzP15PGBsFvPI\\u002f6O+kDAaX8T8I5kdt7iTwP0qiZ0MD7uw\\u002fy6yDHThB6T\\u002fucEfsp2nlP16Epq+2iOE\\u002fS3O9lF1w2z\\u002ftg4sGexLUP24xJC\\u002fFE8o\\u002fth73RVBsuT8t\\u002f0wYKFmQPDMG2TIBVLi\\u002fPLIaoHjsx7\\u002f9P1ahpbfRv86igU7Ea9e\\u002fSWpERuYg3b\\u002fo786CbW\\u002fhv8N7oSTMUuS\\u002fhkT5iog257\\u002fHzppkChPqvzJVMamm3ey\\u002fAJsW+YyI779UFyXU8gDxvyWQlP1fGfK\\u002fdgFywY3\\u002f8r+7JAkWDqTzv50trDQr+PO\\u002fLXHWsnXw87\\u002fesgXO5Ybzv2BPGBsFvPK\\u002f6e+kDAaX8b8I5kdt7iTwv06iZ0MD7uy\\u002fzqyDHThB6b\\u002fvcEfsp2nlv2GEpq+2iOG\\u002fWXO9lF1w27\\u002fvg4sGexLUv3oxJC\\u002fFE8q\\u002f3B73RVBsub\\u002fDfnMkvIWovBwG2TIBVLg\\u002fK7IaoHjsxz\\u002f7P1ahpbfRP8qigU7Ea9c\\u002fQWpERuYg3T\\u002fn786CbW\\u002fhP8J7oSTMUuQ\\u002fgkT5iog25z\\u002fHzppkChPqPy9VMamm3ew\\u002f\\u002fJoW+YyI7z9TFyXU8gDxPyWQlP1fGfI\\u002fdAFywY3\\u002f8j+7JAkWDqTzP11FJgKx2\\u002fM\\u002fydEev9sk9D+JAfFewRL0P9+sSLaboPM\\u002fHNja997P8j+9EGcvGKjxP\\u002f4fL6H+NfA\\u002f2+9EPu0T7T\\u002fOViL7YWzpP1S+UXo6meU\\u002fF79+sg+64T+2faLBJM\\u002fbP4nbRwP2ZNQ\\u002f5Zg1eZOPyj8Wes3L\\u002fPO5P47CV4+xuJA8UKrQ1t7ruL\\u002fY58ayXojIv\\u002fEbeDa+LdK\\u002faUI6a8UI2L83rjFGt+LdvxxZDdJ14eG\\u002fuqwx9HLU5L88V7xA3MXnv\\u002fEVyVdJreq\\u002fe4bFZuR+7b\\u002fCtMLPyxXwv13hahxLUPG\\u002fKF8vwFpj8r\\u002ftGWiBWUHzv11FJgKx2\\u002fO\\u002fydEev9sk9L+JAfFewRL0v+CsSLaboPO\\u002fHdja997P8r++EGcvGKjxv\\u002f4fL6H+NfC\\u002f3+9EPu0T7b\\u002fQViL7YWzpv1W+UXo6meW\\u002fG79+sg+64b\\u002fEfaLBJM\\u002fbv4vbRwP2ZNS\\u002f8Zg1eZOPyr8+es3L\\u002fPO5v9WjA1cKFam8OarQ1t7ruD\\u002fH58ayXojIP+8beDa+LdI\\u002fZUI6a8UI2D8trjFGt+LdPxtZDdJ14eE\\u002fuqwx9HLU5D84V7xA3MXnP\\u002fEVyVdJreo\\u002feobFZuR+7T\\u002fAtMLPyxXwP13hahxLUPE\\u002fKF8vwFpj8j\\u002frGWiBWUHzP11FJgKx2\\u002fM\\u002fFe5\\u002fkcQR9D8teVHv50\\u002f0P\\u002fxz1PpNM\\u002fQ\\u002fLBNT5GO48z83lrhMgOHyPw3eDnGStvE\\u002fCwBbZhpE8D8gHlcodDPtPzv8a5MWkek\\u002fYkyuKrfC5T8qyDpDEebhPx3k1GY4Jdw\\u002fveV8\\u002ffmw1D96gVH0DQPLP9RmxHXVc7o\\u002fJAeHOooTkTxdQbj9e325v3yrMOn8Hsm\\u002fTprgBZug0r\\u002f5D45wVKLYv7JrojYVod6\\u002fIcy+vsdR4r9oO3VZWlTlv\\u002fauOStXU+i\\u002fP+t6DYtF67\\u002fFkceU\\u002fB3uvzGuJkUpZvC\\u002fs6jl02Oe8b\\u002fx7Buu+qvyv3TpdFaugfO\\u002fFe5\\u002fkcQR9L8teVHv50\\u002f0v\\u002fxz1PpNM\\u002fS\\u002fLRNT5GO48784lrhMgOHyvw3eDnGStvG\\u002fDABbZhpE8L8jHlcodDPtvzz8a5MWkem\\u002fY0yuKrfC5b8uyDpDEebhvyvk1GY4Jdy\\u002fv+V8\\u002ffmw1L+IgVH0DQPLv\\u002f5mxHXVc7q\\u002ftYrKV0+dqbxFQbj9e325P2mrMOn8Hsk\\u002fTZrgBZug0j\\u002f1D45wVKLYP6trojYVod4\\u002fIMy+vsdR4j9oO3VZWlTlP\\u002fWuOStXU+g\\u002fP+t6DYtF6z\\u002fDkceU\\u002fB3uPy+uJkUpZvA\\u002fsqjl02Oe8T\\u002fx7Buu+qvyP3PpdFaugfM\\u002fFe5\\u002fkcQR9D\\u002flXFaFLkX0P4\\u002fYGWZYePQ\\u002fFzlTxE1R9D8lOJIons3zP1EeN4N18PI\\u002fiZOOgCbC8T9Ec2ZaDE\\u002fwP5B\\u002f2jhETO0\\u002fSYwvjQSv6T\\u002fbR0WDxeXlP6ozznxcDOI\\u002fMLF2oNtx3D9jP\\u002fK73PXUP8+f48Epbcs\\u002fwuGLdKTquj8NzjucyGiRPPTbi3JLB7q\\u002fuu+tbqOuyb+7\\u002fgo85w7Tv03o7umgNtm\\u002fgROs5LpZ37+Inu5uCb\\u002fiv0owa4Xx0OW\\u002fuJNPxS7d6L8AfKdkyNnrv72TvpStuO6\\u002fK3ttpSa08L\\u002fMtcVG+Onxv1ZeSnH88fK\\u002fumeF21e\\u002f87\\u002flXFaFLkX0v4\\u002fYGWZYePS\\u002fFzlTxE1R9L8lOJIons3zv1IeN4N18PK\\u002fiZOOgCbC8b9Ec2ZaDE\\u002fwv5R\\u002f2jhETO2\\u002fS4wvjQSv6b\\u002fcR0WDxeXlv64zznxcDOK\\u002fPbF2oNtx3L9lP\\u002fK73PXUv9uf48Epbcu\\u002f7OGLdKTqur8TtVnqLB2qvNzbi3JLB7o\\u002fqe+tbqOuyT+5\\u002fgo85w7TP0jo7umgNtk\\u002fdxOs5LpZ3z+Hnu5uCb\\u002fiP0kwa4Xx0OU\\u002ftJNPxS7d6D8AfKdkyNnrP7yTvpStuO4\\u002fKXttpSa08D\\u002fMtcVG+OnxP1VeSnH88fI\\u002fumeF21e\\u002f8z\\u002flXFaFLkX0P6qW7tUBdfQ\\u002fTloABF2d9D\\u002fHkjV7EWz0P7t2JgO\\u002f3\\u002fM\\u002fRE7gHVf88j9JfW97jMrxP0kK2QujVvA\\u002fP0qo4hBe7T\\u002fSDD214sXpP1NYzNcVAuY\\u002f3ZsfVJss4j+H2x0QY7TcP9CT+3gFM9U\\u002fnG2INvzMyz8Ru4+aX1e7PzXvULqnt5E8KodzGgGIur+8+icf6TXKv9s7VPCDd9O\\u002fE9gUQSDE2b9gGQQtWwXgvyaN6vUQKOO\\u002f87Apo95I5r8NAdbX12Hpv5cHd7FCaOy\\u002foOAIDQdN779Qxi4GuP7wv9z9+63yMfK\\u002faOjOBU0087+TljCyUfnzv6qW7tUBdfS\\u002fTloABF2d9L\\u002fHkjV7EWz0v7x2JgO\\u002f3\\u002fO\\u002fRU7gHVf88r9KfW97jMrxv0kK2QujVvC\\u002fQUqo4hBe7b\\u002fTDD214sXpv1RYzNcVAua\\u002f4psfVJss4r+S2x0QY7Tcv9KT+3gFM9W\\u002fqW2INvzMy786u4+aX1e7v89meZd7k6q8E4dzGgGIuj+q+icf6TXKP9k7VPCDd9M\\u002fENgUQSDE2T9bGQQtWwXgPyWN6vUQKOM\\u002f8rApo95I5j8IAdbX12HpP5cHd7FCaOw\\u002fn+AIDQdN7z9Pxi4GuP7wP9z9+63yMfI\\u002faOjOBU008z+SljCyUfnzP6qW7tUBdfQ\\u002fQQlaxYSg9D+RiZKyUr70Pxd94ywOg\\u002fQ\\u002fySV2RVXu8z88CyazzgTzP6G8nuCGz\\u002fE\\u002fPs3g5rNa8D+KlTJPmWjtP+GDb+Bz1ek\\u002f92pH6WQX5j8NEEu8g0biP4ilNT857Nw\\u002fTan65u5n1T\\u002fYzH83uyHMP10qGKImubs\\u002fwmR6ToX\\u002fkTx5o+Kcj\\u002f66vyUiF8+qs8q\\u002fsHooS4nZ07\\u002fzfwGEkUnav6deY+s3WeC\\u002frvN7eOmL478hkLKqBbvmv3FAmTMP4Om\\u002fB71Kw47v7L90i9Btd9nvv+H4R40FRfG\\u002fucw3TXR18r8o\\u002f2FrEXLzv7TeKFXOLvS\\u002fQQlaxYSg9L+RiZKyUr70vxd94ywOg\\u002fS\\u002fySV2RVXu8789CyazzgTzv6G8nuCGz\\u002fG\\u002fP83g5rNa8L+OlTJPmWjtv+ODb+Bz1em\\u002f+GpH6WQX5r8REEu8g0biv5OlNT857Ny\\u002fUKn65u5n1b\\u002flzH83uyHMv4gqGKImubu\\u002fI5e39Uf\\u002fqrxfo+Kcj\\u002f66PxMiF8+qs8o\\u002frnooS4nZ0z\\u002fufwGEkUnaP6ReY+s3WeA\\u002frPN7eOmL4z8gkLKqBbvmP21AmTMP4Ok\\u002fB71Kw47v7D9zi9Btd9nvP+D4R40FRfE\\u002fuMw3TXR18j8n\\u002f2FrEXLzP7PeKFXOLvQ\\u002fQQlaxYSg9D9LNilqMsf0P9ufj8PE2vQ\\u002ffOkg\\u002f96V9D\\u002fM871nDPnzP21nGHSZCfM\\u002fWpxY0uTQ8T+P7A7+HFvwP02D50Cra+0\\u002frGWkp4nd6T+9jYDBfiXmPwcTxGbaWeI\\u002flKXa0eIY3T9KHZ9DKZTVP9Z+vXm9asw\\u002fzc9nhkAPvD+79HV93j+SPKwAm1Qiaru\\u002fIOaknQUny7\\u002fhRi1jQzTUv8Hi1Dn7xdq\\u002fYVgRxdSn4L+KenQp1Onjv1K++H+KJue\\u002fw60PA91W6r8CeQ6imW7tvxAZRiJpLvC\\u002f2KKqO2+G8b\\u002fP4QFZ2bPyvylXUfipqvO\\u002f93QjcDlf9L9LNilqMsf0v9yfj8PE2vS\\u002fe+kg\\u002f96V9L\\u002fO871nDPnzv29nGHSZCfO\\u002fWpxY0uTQ8b+P7A7+HFvwv1GD50Cra+2\\u002fr2Wkp4nd6b++jYDBfiXmvwsTxGbaWeK\\u002foaXa0eIY3b9MHZ9DKZTVv+N+vXm9asy\\u002f989nhkAPvL8Y7zC8zV+rvJIAm1Qiars\\u002fC+aknQUnyz\\u002ffRi1jQzTUP7zi1Dn7xdo\\u002fXlgRxdSn4D+IenQp1OnjP1G++H+KJuc\\u002fvq0PA91W6j8CeQ6imW7tPxAZRiJpLvA\\u002f1qKqO2+G8T\\u002fP4QFZ2bPyPylXUfipqvM\\u002f9nQjcDlf9D9LNilqMsf0P04ZLN+36PQ\\u002fJzi3Dmry9D+DYOYAQ6T0P6vXmG6r\\u002f\\u002fM\\u002fBjgF\\u002fIcK8z9hZOBYgs7xP+sQdWHFV\\u002fA\\u002fWLIHxSNn7T+RpWJhBd7pP+aF4SlALOY\\u002fp+zhiXRm4j9APW+nATrdPyhH1gNct9U\\u002fRFeagXqnzD8U+PVmGFm8Px87Sr5LeJI8mVa44RTKu7\\u002f7Waa9TY\\u002fLv39QK8crh9S\\u002fTgvWSKQ4278fnth4vPDgv0kFgX1FQeS\\u002fC74wqs6K579ZQBvsksXqv+mmuBun5O2\\u002f7p1VpCdr8L\\u002fbqx6fjMLxvwfjtX+47PK\\u002fX+BVPbHd879vZXPQNYr0v04ZLN+36PS\\u002fKDi3Dmry9L+DYOYAQ6T0v6zXmG6r\\u002f\\u002fO\\u002fBzgF\\u002fIcK879hZOBYgs7xv+sQdWHFV\\u002fC\\u002fWrIHxSNn7b+UpWJhBd7pv+eF4SlALOa\\u002fq+zhiXRm4r9NPW+nATrdvypH1gNct9W\\u002fUVeagXqnzL8\\u002f+PVmGFm8v65Yb51xtKu8gFa44RTKuz\\u002flWaa9TY\\u002fLP31QK8crh9Q\\u002fSQvWSKQ42z8cnth4vPDgP0gFgX1FQeQ\\u002fCb4wqs6K5z9UQBvsksXqP+mmuBun5O0\\u002f7p1VpCdr8D\\u002faqx6fjMLxPwfjtX+47PI\\u002fX+BVPbHd8z9vZXPQNYr0P04ZLN+36PQ\\u002fU13Yq+0E9T9GK2llHgX1P\\u002flBEHsXrvQ\\u002fzj1vqRAC9D800hSEewfzP6SP06NGyPE\\u002fUbKf85tQ8D+dU7yB7VrtPwSdtxDX1uk\\u002fhwG7XpYr5j+s\\u002fcdDOGziP+BaFy1WT90\\u002fui+so0bR1T\\u002fr2WolitfMP3mAAUU6lrw\\u002fl8oni3yokjwDdbW+6R28v4jdmFID7Mu\\u002fGZpj5uDR1L\\u002f2OqhRCaHbv0fSwqKdM+G\\u002f4y41P9+R5L+cUdVDa+fnv4nzn5\\u002fFK+u\\u002fo+Vku0pR7r+7l0hWwaLwv\\u002f\\u002fu1aco+fG\\u002fuhZeU94f878urLfM9gr0vwYh1GOXr\\u002fS\\u002fU13Yq+0E9b9FK2llHgX1v\\u002flBEHsXrvS\\u002fzz1vqRAC9L810hSEewfzv6WP06NGyPG\\u002fUbKf85tQ8L+fU7yB7VrtvwWdtxDX1um\\u002fiAG7XpYr5r+w\\u002fcdDOGziv+1aFy1WT92\\u002fvC+so0bR1b\\u002f42WolitfMv6OAAUU6lry\\u002f46+70Lr8q7zrdLW+6R28P3HdmFID7Ms\\u002fF5pj5uDR1D\\u002fxOqhRCaHbP0LSwqKdM+E\\u002f4S41P9+R5D+bUdVDa+fnP4bzn5\\u002fFK+s\\u002fo+Vku0pR7j+7l0hWwaLwP\\u002f3u1aco+fE\\u002fuhZeU94f8z8trLfM9gr0PwYh1GOXr\\u002fQ\\u002fU13Yq+0E9T9q0NJPzhv1PwJO\\u002fVDZEvU\\u002fltqgoE+z9D8ru+r5KgD0P0RmTPRgAPM\\u002fia61lyC+8T9JyvTtlEXwP2KSu938Ru0\\u002f\\u002fm58Y\\u002frH6T8r1xn0fCPmP9+1Rm8ba+I\\u002fLtYvcr5Y3T+KsjFAwOHVP0OUik2j+sw\\u002fTn1NxE\\u002fGvD9c8opVM9CSPPAzEhhBZby\\u002fVSnN+cY8zL\\u002fXvZqdHBTVv6qGGBnQ\\u002ftu\\u002fHv7BVkNw4b8jfBRkaNvkv+p\\u002f3QcoPOi\\u002flt2kykKJ678rHKo1XLTuvynI4ekn1fC\\u002fPN30ODoq8r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002fr9kNJGPxpz9r3vTqivefP0l+f5t1AYs\\u002f1THkHFMber9BxUKEBB6bvzyVklHKIKu\\u002fdu49L46Tsr8xn+fnCim3v\\u002ffq9AwIH7u\\u002fOgQb\\u002f7xKvr9KOR5SykTAv9zDBL724cC\\u002fkCwUgwP4wL+Lnk17sonAv+M7Vd7FQb+\\u002f4+TR9\\u002fKZvL+iAssEe0G5v03LeBSnYLW\\u002fQqojvLIfsb9Vk1XWVUupvx+lIc40MaC\\u002fX\\u002fulnxTyjL++BphhhWhkP5Qc0b4GFZI\\u002fTXdfoaqBnz+qnER+rxqlPy7tIhaMy6g\\u002fVMp5REqOqj9cea5RZi2qPzq9TDtkjac\\u002fW0PgV8q2oj9NDzR6CLiXP4OB\\u002fN2rwHo\\u002f\\u002feafe79qib8JzXFoiLGgvzmVklHKIKu\\u002fce49L46Tsr8un+fnCim3v\\u002ffq9AwIH7u\\u002fOAQb\\u002f7xKvr9JOR5SykTAv9zDBL724cC\\u002fkCwUgwP4wL+Lnk17sonAv+M7Vd7FQb+\\u002f5+TR9\\u002fKZvL+oAssEe0G5v07LeBSnYLW\\u002fR6ojvLIfsb9kk1XWVUupvyKlIc40MaC\\u002fgfulnxTyjL\\u002f4BZhhhWhkP48c0b4GFZI\\u002fQXdfoaqBnz+knER+rxqlPy3tIhaMy6g\\u002fUcp5REqOqj9eea5RZi2qPzu9TDtkjac\\u002fW0PgV8q2oj9kDzR6CLiXP5OB\\u002fN2rwHo\\u002f8+afe79qib\\u002f6zHFoiLGgvzWVklHKIKu\\u002fAAA\\u002fBwBbtL\\u002fV5ixu51e5v\\u002fLRoQo3zL2\\u002fANFRlB\\u002fFwL\\u002ffh5ER9zbCv4NSsLUfLsO\\u002fo+AU1S2iw79CY8G8wpDDv3SKoAok\\u002fsK\\u002fb4YEa+30wb+M+Q+7z4TAv\\u002fCiJt5ugb2\\u002f8rQcZdV5ub8a5U3yVBu1v8K9C4c7jbC\\u002f+AlYla3rp7+58iSREu2dv3cAphYYIYq\\u002fnaYUrXoHYT\\u002fXvKqS2RCOP+BhfTVhCJk\\u002fVW4xS4KKnz\\u002f0GZ2MBwWhPyXlp\\u002fzREaA\\u002fBC7QnmypmT8kqawIlG6NP5772t+xADC\\u002fS8BVsp5zkr84a3S9Xmujv5WiJkaNHK6\\u002f\\u002f\\u002f8+BwBbtL\\u002fQ5ixu51e5v\\u002fDRoQo3zL2\\u002f\\u002f9BRlB\\u002fFwL\\u002feh5ER9zbCv4JSsLUfLsO\\u002fpOAU1S2iw79DY8G8wpDDv3OKoAok\\u002fsK\\u002fb4YEa+30wb+P+Q+7z4TAv\\u002fWiJt5ugb2\\u002f8rQcZdV5ub8e5U3yVBu1v8i9C4c7jbC\\u002f+glYla3rp7\\u002fM8iSREu2dv6sAphYYIYq\\u002fdqYUrXoHYT+9vKqS2RCOP9NhfTVhCJk\\u002fUm4xS4KKnz\\u002f0GZ2MBwWhPyflp\\u002fzREaA\\u002fCS7QnmypmT8wqawIlG6NP3j12t+xADC\\u002fScBVsp5zkr80a3S9Xmujv4SiJkaNHK6\\u002f\\u002ff8+BwBbtL+HV+nxpCW7v0ARF+cPD8C\\u002fZZClULM4wr+XCHiU2frDvzHmMQvmRsW\\u002f90mU2FkTxr\\u002fxfz3WfVvGv5wQnEu+H8a\\u002fnGWySxZmxb+faoGU8jnEvxhhyuJMq8K\\u002fPxi1\\u002fibNwL8aHuaktWe9v3HRjjOX57i\\u002fkBlU5qBBtL+UfxTCNTmvvyQaCOOCPqa\\u002fOKgRSOzDm79XX2UXs8+Jv4KQr5A2UEG\\u002fnDavjdhrgT9pOWGVyIuMPwm5l9t1To8\\u002f8mVJi7gAiT8KyGn+KL1yP4gnsj2zi36\\u002fri+IHEr0l794W\\u002flVcbSlv2j2ohUFN7C\\u002fTwUAnrvAtb+FV+nxpCW7vz0RF+cPD8C\\u002fY5ClULM4wr+XCHiU2frDvzDmMQvmRsW\\u002f9kmU2FkTxr\\u002fyfz3WfVvGv5wQnEu+H8a\\u002fm2WySxZmxb+faoGU8jnEvxphyuJMq8K\\u002fQhi1\\u002fibNwL8aHuaktWe9v3PRjjOX57i\\u002fmBlU5qBBtL+WfxTCNTmvvy0aCOOCPqa\\u002fT6gRSOzDm79fX2UXs8+JvzSSr5A2UEG\\u002fiDavjdhrgT9kOWGVyIuMPwK5l9t1To8\\u002fAGZJi7gAiT8dyGn+KL1yP2wnsj2zi36\\u002fky+IHEr0l793W\\u002flVcbSlv2f2ohUFN7C\\u002fRgUAnrvAtb+EV+nxpCW7v4nn8ML19cC\\u002f+O1jlphww7\\u002fFRIGgaInFv02lL21oLce\\u002fNWnz+H9RyL+2bwawcPDIvxGmaseECcm\\u002fWylvWDmgyL\\u002fGeHlGb7zHvzUjvux6asa\\u002fqh\\u002fSwZ66xL9I7nbT47\\u002fCv5DefJSojsC\\u002f3kon\\u002fNx2vL8KTr+OlLS3vwX8JyP1\\u002fbK\\u002f3+wrqk31rL8shlmfWqakv47\\u002fdQiqw5q\\u002fHFoJfIjqjb+BsR9FqQV6vwM3wKFBlF+\\u002fHd2Uoj84Xb9dBJ\\u002fAf3Z5v8qdEYTlVI+\\u002fhyU+X1uAnb+k7FH4xqWnv7wW6erzBrG\\u002fuqZ6LiCttr+sBuN4DWy8v4jn8ML19cC\\u002f9e1jlphww7\\u002fDRIGgaInFv0ulL21oLce\\u002fNGnz+H9RyL+2bwawcPDIvxCmaseECcm\\u002fXClvWDmgyL\\u002fGeHlGb7zHvzYjvux6asa\\u002frh\\u002fSwZ66xL9L7nbT47\\u002fCv5HefJSojsC\\u002f4kon\\u002fNx2vL8TTr+OlLS3vwb8JyP1\\u002fbK\\u002f6Owrqk31rL85hlmfWqakv5H\\u002fdQiqw5q\\u002fN1oJfIjqjb+hsR9FqQV6vx03wKFBlF+\\u002fUN2Uoj84Xb83BJ\\u002fAf3Z5v8KdEYTlVI+\\u002fgyU+X1uAnb+W7FH4xqWnv7sW6erzBrG\\u002fuKZ6LiCttr+kBuN4DWy8v4fn8ML19cC\\u002fs7UYfx9TxL8nV4WQcMzGvyCBBLPK08i\\u002flMZTzxdYyr+GoS5J41HLvwJX7PpowMu\\u002fKoG8WTmny78Y+891Hw3Lv+yqhVgM\\u002fMm\\u002fezSUZFCByL+amNQ4d63Gv0rv\\u002fL6Dk8S\\u002f+OYiJshHwr+C+BQXuL2\\u002fv8+OEKM12rq\\u002f6NasgnINtr9bAMTfVYCxvz1AIKrIuaq\\u002fCUlpvz+co7+comJqwPubv+9gBXh6YJS\\u002ft2\\u002fnkUT2kL8BIJWr2CuSvyybJmNdQJi\\u002fLt\\u002fKFe6Zob8BewPp5lupv6rwG9exiLG\\u002fGQBk0nUbt78QOVsI5hC9v8I6e7yMhMG\\u002fsrUYfx9TxL8kV4WQcMzGvx6BBLPK08i\\u002fk8ZTzxdYyr+FoS5J41HLvwNX7PpowMu\\u002fKoG8WTmny78Z+891Hw3Lv+uqhVgM\\u002fMm\\u002ffDSUZFCByL+cmNQ4d63Gv07v\\u002fL6Dk8S\\u002f+eYiJshHwr+F+BQXuL2\\u002fv9iOEKM12rq\\u002f6tasgnINtr9gAMTfVYCxv0hAIKrIuaq\\u002fCklpvz+co7+romJqwPubv\\u002fZgBXh6YJS\\u002fuG\\u002fnkUT2kL8EIJWr2CuSvyGbJmNdQJi\\u002fLN\\u002fKFe6Zob\\u002f8egPp5lupv6PwG9exiLG\\u002fFwBk0nUbt78OOVsI5hC9v706e7yMhMG\\u002fsbUYfx9TxL+inXj+4KTHv4XJlDTZHMq\\u002f6\\u002feAr9sRzL8FK3guznTNvxO8tRYCQs6\\u002f6LwazF99zr9F+2Rr9S7Ov5w2fhAMYc2\\u002fOYIV8sUfzL+OvLg5f3nKvwUAfh8Mf8i\\u002fx7icSVxDxr+VBMyEo9rDv68s5u+CWcG\\u002fXLcM2z2pvb\\u002fh6WFgcMG4vxsOJmgTJrS\\u002fqV6g\\u002fBcDsL\\u002f1CANkPgupv0VpffYetaO\\u002fbumwcQtYoL8Cxl5ae3eevxlBhlekk6C\\u002ff\\u002fnTdUZ3pL+R5PfNYNuqv5VR6yXdxbG\\u002fL2Dl6CYTt7+ZiKvYOg29vxFPdaUUrMG\\u002fw26zmcPGxL+hnXj+4KTHv4PJlDTZHMq\\u002f6veAr9sRzL8FK3guznTNvxK8tRYCQs6\\u002f57wazF99zr9E+2Rr9S7Ov502fhAMYc2\\u002fOIIV8sUfzL+PvLg5f3nKvwcAfh8Mf8i\\u002fy7icSVxDxr+VBMyEo9rDv7As5u+CWcG\\u002fZbcM2z2pvb\\u002fj6WFgcMG4vyAOJmgTJrS\\u002fr16g\\u002fBcDsL\\u002f5CANkPgupv01pffYetaO\\u002fb+mwcQtYoL8Dxl5ae3eevxpBhlekk6C\\u002fdfnTdUZ3pL+P5PfNYNuqv5JR6yXdxbG\\u002fJ2Dl6CYTt7+aiKvYOg29vxBPdaUUrMG\\u002fv26zmcPGxL+gnXj+4KTHv8DDztlD5Mq\\u002fjN55SZdazb9wixrDOzzPv8PLLK4dPtC\\u002fSNe7jGiN0L9IaKVCW5DQv2KwvvtNTdC\\u002f\\u002fXE4AmiWz79V7wXKgyLOv8XIcUdhTsy\\u002fgxNUZhsryr8n1aMwgsvHv\\u002fEm4JaYQ8W\\u002fqsKTUfinwr\\u002fIp6yUiA3Av7fdkz9DE7u\\u002f+Ia2J8xktr+54pIE8T2yvz73HsT1nK2\\u002fQRoq9d6LqL8dN2yvyKClvyz0+x5sJKW\\u002fcZzTt79Gp7\\u002f4cVslthasv\\u002fNu05kGvrG\\u002fhQIZzXOZtr9oHlzSeWS8v4G9O8Z7Z8G\\u002fv8L0dOK6xL9dl0g\\u002f+PXHv7\\u002fDztlD5Mq\\u002fit55SZdazb9vixrDOzzPv8PLLK4dPtC\\u002fSNe7jGiN0L9HaKVCW5DQv2KwvvtNTdC\\u002f\\u002f3E4AmiWz79U7wXKgyLOv8XIcUdhTsy\\u002fhxNUZhsryr8r1aMwgsvHv\\u002fMm4JaYQ8W\\u002frMKTUfinwr\\u002fNp6yUiA3Av7ndkz9DE7u\\u002f\\u002fYa2J8xktr+\\u002f4pIE8T2yvz73HsT1nK2\\u002fSBoq9d6LqL8dN2yvyKClvyr0+x5sJKW\\u002fc5zTt79Gp7\\u002fvcVslthasv\\u002fJu05kGvrG\\u002fggIZzXOZtr9fHlzSeWS8v4G9O8Z7Z8G\\u002fvsL0dOK6xL9Zl0g\\u002f+PXHv77DztlD5Mq\\u002fsapa4gwJzr9CKIOqnz7Qv\\u002faG2I89JdG\\u002fmFePqhWz0b+6VEFRS+rRvzyEhxyt0dG\\u002fNBe09upx0b+Lw\\u002fjkzNPQv22kd3hf\\u002f8+\\u002f4aviRrP7zb9i9UxY9K3Lv8mho8vIKMm\\u002fqMJXiPF\\u002fxr\\u002fOrvDf7MfDv8ES+GfVFcG\\u002f1\\u002f7HozH\\u002fvL8bKcmSpzi4v7LJBir7CLS\\u002f03ksPCOjsL80Atoo5nOsvw9b4lh6+Km\\u002fTe1QJS0fqr8XmuLacBWtv2Lryn3PcLG\\u002fEd5dGI6utb8xL5\\u002fa4Ri7vyKHBNxptsC\\u002fxroEQ3ooxL\\u002fSn0KL\\u002fqzHv36wpDEpCsu\\u002fsKpa4gwJzr9BKIOqnz7Qv\\u002fSG2I89JdG\\u002fl1ePqhWz0b+6VEFRS+rRvzqEhxyt0dG\\u002fNBe09upx0b+Lw\\u002fjkzNPQv2ukd3hf\\u002f8+\\u002f4aviRrP7zb9k9UxY9K3Lv86ho8vIKMm\\u002fqsJXiPF\\u002fxr\\u002fQrvDf7MfDv8QS+GfVFcG\\u002f2f7HozH\\u002fvL8gKcmSpzi4v7jJBir7CLS\\u002f03ksPCOjsL88Atoo5nOsvxBb4lh6+Km\\u002fTO1QJS0fqr8YmuLacBWtv17ryn3PcLG\\u002fD95dGI6utb8uL5\\u002fa4Ri7vx2HBNxptsC\\u002fxroEQ3ooxL\\u002fRn0KL\\u002fqzHv3mwpDEpCsu\\u002fr6pa4gwJzr+Pap2ODoXQv16ZhD3QvdG\\u002fJ+xd1cSZ0r8aUg4V+hTTvyLpaHSoM9O\\u002fD5xpIw\\u002f\\u002f0r+5e7JRL4LSvwXM4zShx9G\\u002fh\\u002fmSkujY0L80TwCIsX3Pv06HrVeFBM2\\u002foMLQTcJYyr+3hH+U2Y3Hv38gfQkZuMS\\u002fxma7irbswb9vvJw3RoS+vxocrv\\u002fooLm\\u002f+N958yBjtb\\u002fMtzdRhQGyvymfHdvLZa+\\u002f0BtbGVtTrb++7NB5Ixuuv+Q2NXHJ9LC\\u002fDkeOR4RetL+zA4An4y+5v0fxb3ODM7+\\u002fi8paaHUNw78Hkh660cDGvxL\\u002fOuCMecq\\u002f+3uCPFz6zb+Pap2ODoXQv12ZhD3QvdG\\u002fJuxd1cSZ0r8aUg4V+hTTvyLpaHSoM9O\\u002fDpxpIw\\u002f\\u002f0r+4e7JRL4LSvwfM4zShx9G\\u002fiPmSkujY0L82TwCIsX3Pv1CHrVeFBM2\\u002fpMLQTcJYyr+4hH+U2Y3Hv4AgfQkZuMS\\u002fyma7irbswb9xvJw3RoS+vx8crv\\u002fooLm\\u002f\\u002fd958yBjtb\\u002fMtzdRhQGyvzKfHdvLZa+\\u002fzhtbGVtTrb+97NB5Ixuuv+U2NXHJ9LC\\u002fB0eOR4RetL+xA4An4y+5v0Txb3ODM7+\\u002fhspaaHUNw78Hkh660cDGvw\\u002f\\u002fOuCMecq\\u002f9nuCPFz6zb+Oap2ODoXQv95yUNfy7tG\\u002fvXn\\u002f4SAm07\\u002fLcBT4G\\u002ffTv2KA3YJ5X9S\\u002fOBkMPJRl1L9UcgUHEBXUv6h+vnsre9O\\u002f5TTouD+k0r8pI6BF8JrRv1wy7iicaNC\\u002fsNP3P2wszr8i21z0wFnLv097kfxPbMi\\u002fZAeGWiN4xb\\u002fxgBhobZLCvy8WUef\\u002fo7+\\u002fGlv\\u002fc6Ofur9kYqDBcU62v3iayZ\\u002fw6rK\\u002fTG\\u002fce4uwsL+WDna1Vqyvv7ICQzC3hrC\\u002fz2XIqerYsr\\u002fh+H6FpMi2v3IxDTtuM7y\\u002fnCkw9FZswb9vNdqlYi7Fv2CKRBUvJ8m\\u002fGRRZ\\u002fxQXzb+i+AfWg17Qv95yUNfy7tG\\u002fvHn\\u002f4SAm07\\u002fLcBT4G\\u002ffTv2OA3YJ5X9S\\u002fOBkMPJRl1L9TcgUHEBXUv6h+vnsre9O\\u002f5jTouD+k0r8oI6BF8JrRv10y7iicaNC\\u002fs9P3P2wszr8o21z0wFnLv097kfxPbMi\\u002fZQeGWiN4xb\\u002f2gBhobZLCvzEWUef\\u002fo7+\\u002fH1v\\u002fc6Ofur9oYqDBcU62v3mayZ\\u002fw6rK\\u002fUW\\u002fce4uwsL+VDna1Vqyvv7ECQzC3hrC\\u002fz2XIqerYsr\\u002fa+H6FpMi2v3AxDTtuM7y\\u002fmikw9FZswb9qNdqlYi7Fv2GKRBUvJ8m\\u002fFxRZ\\u002fxQXzb+g+AfWg17Qv91yUNfy7tG\\u002fNkIFK3E9079M8ecS8nLUv+uKS6rdONW\\u002fWMvzboWO1b\\u002fFZlxKcXzVv7KfBoGUENW\\u002fdlzE70pa1L+GO5A6lWfTv9dvWhUqRNK\\u002fKGMHwvH50L94IP3mBiTPv91+4YrYKsy\\u002f1FRdexobyb940loKhAjGv0gUDq0hCMO\\u002fFbZIyvQwwL9ZL6\\u002f3SDm7vxOKe2m4z7a\\u002fw618wcVjs7+AP8zU9DWxv60pJAONgrC\\u002fCrB6e9R4sb+i\\u002fawsVDG0v1DmfQmnpbi\\u002ff6Sh6yisvr8nk\\u002fKiQvzCv0t\\u002frEpJEMe\\u002f\\u002fM1sKR9Sy7\\u002fhEGHa7nvPvwRw8i1CpNG\\u002fNkIFK3E9079L8ecS8nLUv+qKS6rdONW\\u002fWMvzboWO1b\\u002fGZlxKcXzVv7KfBoGUENW\\u002fd1zE70pa1L+HO5A6lWfTv9VvWhUqRNK\\u002fKWMHwvH50L97IP3mBiTPv+N+4YrYKsy\\u002f1VRdexobyb950loKhAjGv0wUDq0hCMO\\u002fFrZIyvQwwL9gL6\\u002f3SDm7vxmKe2m4z7a\\u002fwa18wcVjs7+DP8zU9DWxv6wpJAONgrC\\u002fCbB6e9R4sb+h\\u002fawsVDG0v0jmfQmnpbi\\u002ffKSh6yisvr8lk\\u002fKiQvzCv0R\\u002frEpJEMe\\u002f\\u002fM1sKR9Sy7\\u002ffEGHa7nvPvwJw8i1CpNG\\u002fNUIFK3E907+8cjg5B2zUv4YYdPb9n9W\\u002fX7N33RNb1r82SnTdi57Wv8+1q\\u002fkjdda\\u002fPfw4mgLv1b8bsfIKdx3VvwjCbn4HENS\\u002fN2Zfh2zT0r9Jp3OjFHLRv2I2hxWB6s+\\u002fny8EU9\\u002fLzL+YOAwduJrJv7eBIoZoasa\\u002fDZzrBbVPw7+vFaiEkmHAv1EDO\\u002fohdLu\\u002f5ZYwye3ttr89gbSI9nKzv8s\\u002fkRkhSbG\\u002fZboqRdqysL9i3xYMAeWxv1bgpjZp+7S\\u002fyxf8v9Puub9JCjHtqEfAv5kS8NRmQsS\\u002fiRr3gcSqyL8AHnUPfjjNvyzq+r9Yz9C\\u002fkcVZGb\\u002fJ0r+8cjg5B2zUv4YYdPb9n9W\\u002fXbN33RNb1r81SnTdi57Wv861q\\u002fkjdda\\u002fPPw4mgLv1b8asfIKdx3VvwnCbn4HENS\\u002fNmZfh2zT0r9Kp3OjFHLRv2U2hxWB6s+\\u002fpi8EU9\\u002fLzL+YOAwduJrJv7iBIoZoasa\\u002fEpzrBbVPw7+wFaiEkmHAv1YDO\\u002fohdLu\\u002f65Ywye3ttr89gbSI9nKzv84\\u002fkRkhSbG\\u002fYboqRdqysL9i3xYMAeWxv1XgpjZp+7S\\u002fwhf8v9Puub9ICjHtqEfAv5YS8NRmQsS\\u002fghr3gcSqyL\\u002f\\u002fHXUPfjjNvyvq+r9Yz9C\\u002fjsVZGb\\u002fJ0r+7cjg5B2zUv7pxFyildtW\\u002fNB+bC4up1r9OOQ5kaVrXv3j8U7OljNe\\u002fi3yxCDtN17+rYAsxY67Wv2YEQj4xw9W\\u002fzKqM4oic1L+nsw50D0jTv06N\\u002fzi20NG\\u002fPiTv1O4\\u002f0L+OkJFGbT3Nv0yV5f9U7Mm\\u002fIm+FVJmfxr+Gafb2mGvDvz\\u002fJkr76ZsC\\u002f0lBdk7tXu78bi+WxlrG2v34hdkxlIbO\\u002fzJhGqHLysL\\u002frUP3n6m2wv1oWIsp1z7G\\u002fdg26U9E3tb+RpWKjnqC6v7ZA21OA6sC\\u002farLq59M4xb+kcqycW\\u002fbJvyCkVODh0c6\\u002fMzbPw0270b8qSxMMrcrTv7lxFyildtW\\u002fNB+bC4up1r9NOQ5kaVrXv3n8U7OljNe\\u002fi3yxCDtN17+rYAsxY67Wv2YEQj4xw9W\\u002fz6qM4oic1L+lsw50D0jTv06N\\u002fzi20NG\\u002fPyTv1O4\\u002f0L+VkJFGbT3Nv02V5f9U7Mm\\u002fI2+FVJmfxr+Lafb2mGvDv0DJkr76ZsC\\u002f11Bdk7tXu78fi+WxlrG2v30hdkxlIbO\\u002f05hGqHLysL\\u002fpUP3n6m2wv1gWIsp1z7G\\u002fdQ26U9E3tb+IpWKjnqC6v7VA21OA6sC\\u002fZ7Lq59M4xb+ecqycW\\u002fbJvyCkVODh0c6\\u002fMjbPw0270b8nSxMMrcrTv7lxFyildtW\\u002f2NM+tdRZ1r\\u002fgR+K+kIzXv0UkRihMNNi\\u002fDyVKybVW2L8CQUY8CgPYv4nmzyh3Tde\\u002fL7psrKJK1r\\u002fi1Q4lowzVv8PrzQLzodO\\u002fqRJ+SQIW0r8OIWihfHLQv0hQI8bYgM2\\u002fPqQaIr8Ryr+Facz9Y6rGvyQ5\\u002fm+qXsO\\u002fydhXlapEwL+AQjfLW+y6v2cJhn0eJLa\\u002fJ1BWvDR5sr8Ws6UlCDywv2Wro3K8ea+\\u002fdabduzU\\u002fsb\\u002f3\\u002flk9X+q0vwdIdQLSurq\\u002fwWVAoEc8wb9X21u3FdvFv9jf\\u002f47d7Mq\\u002fTeN0B30L0L+0uA1e933Svx8jB2FFo9S\\u002f2NM+tdRZ1r\\u002feR+K+kIzXv0QkRihMNNi\\u002fDyVKybVW2L8AQUY8CgPYv4jmzyh3Tde\\u002fMLpsrKJK1r\\u002fj1Q4lowzVv8LrzQLzodO\\u002fqhJ+SQIW0r8QIWihfHLQv1BQI8bYgM2\\u002fP6QaIr8Ryr+Gacz9Y6rGvyk5\\u002fm+qXsO\\u002fythXlapEwL+IQjfLW+y6v20Jhn0eJLa\\u002fKlBWvDR5sr8ds6UlCDywv2Kro3K8ea+\\u002fdKbduzU\\u002fsb\\u002f3\\u002flk9X+q0v\\u002f1HdQLSurq\\u002fwGVAoEc8wb9U21u3FdvFv9Df\\u002f47d7Mq\\u002fTuN0B30L0L+yuA1e933SvxwjB2FFo9S\\u002f19M+tdRZ1r+4WxDq0hLXv4A73+LLRti\\u002fpAvI3\\u002f3m2L\\u002f0U2rEdvvYv6GI8WS1ldi\\u002f\\u002fqXRNr\\u002fL179dpNufoLPWv75SJwB5YNW\\u002fSvZqTX\\u002fh07\\u002fKfuRvnULSv5lnEM\\u002fCjdC\\u002f1oB89i+Yzb9Pzd76Ww3Kv0w0qcGJjca\\u002fPb8PjhUsw79z8+0cn\\u002fy\\u002fvx6+\\u002fHSJOrq\\u002f8ZTxUz9Ptb+\\u002fgJzhGoWxvya20agWYq6\\u002fxVkuvfRUrb+TvvIZkj2wvzs3Yz7KGbS\\u002fKbH6J4dAur\\u002fYkL5FaTzBv\\u002fleiAVrJsa\\u002fpdbr5amJy7\\u002f84tQm74DQv1s16k4dFNO\\u002fjCGcO2hQ1b+4WxDq0hLXv3873+LLRti\\u002fpAvI3\\u002f3m2L\\u002f1U2rEdvvYv6GI8WS1ldi\\u002f\\u002fKXRNr\\u002fL179epNufoLPWv79SJwB5YNW\\u002fSPZqTX\\u002fh07\\u002fKfuRvnULSv5tnEM\\u002fCjdC\\u002f3oB89i+Yzb9Tzd76Ww3Kv040qcGJjca\\u002fQ78PjhUsw7918+0cn\\u002fy\\u002fvyW+\\u002fHSJOrq\\u002f9ZTxUz9Ptb+8gJzhGoWxvzW20agWYq6\\u002fwVkuvfRUrb+SvvIZkj2wvzw3Yz7KGbS\\u002fHrH6J4dAur\\u002fXkL5FaTzBv\\u002fdeiAVrJsa\\u002fn9br5amJy7\\u002f84tQm74DQv1o16k4dFNO\\u002fiSGcO2hQ1b+4WxDq0hLXv7lzQE2cn9e\\u002frDUYL8PW2L\\u002fAL3Nmk3HZv1e4zdx3etm\\u002fJFi0CCwF2b\\u002foLp7BdinYvyjsin6m\\u002fta\\u002fVSJ5Tb+Y1b\\u002f35gs3nQfUv1CD+02eV9K\\u002fvUYbyf6S0L8UOx08LobNv0eE1jEe4sm\\u002fE6024jJMxr97wXV9QtfCv7xmr8hSL7+\\u002fJEU1qbFKub+5dzB1hjy0v4UqqqfIT7C\\u002fSpHgGRC6q7\\u002fsOzUACYWqv5h6NDYvq62\\u002fsZqlREPPsr+fQPJD8Te5v2AVjqMQ7MC\\u002fctULm+QZxr\\u002fQv5jH48nLv4E56d8kx9C\\u002fPRNYuEl7078gnApWsc\\u002fVv7lzQE2cn9e\\u002fqjUYL8PW2L+\\u002fL3Nmk3HZv1e4zdx3etm\\u002fJFi0CCwF2b\\u002flLp7BdinYvyjsin6m\\u002fta\\u002fViJ5Tb+Y1b\\u002f15gs3nQfUv1GD+02eV9K\\u002fvkYbyf6S0L8bOx08LobNv0uE1jEe4sm\\u002fE6024jJMxr+BwXV9QtfCv75mr8hSL7+\\u002fK0U1qbFKub+\\u002fdzB1hjy0v4YqqqfIT7C\\u002fWpHgGRC6q7\\u002fpOzUACYWqv5R6NDYvq62\\u002fsJqlREPPsr+UQPJD8Te5v18VjqMQ7MC\\u002fcNULm+QZxr\\u002fJv5jH48nLv4A56d8kx9C\\u002fOxNYuEl7078dnApWsc\\u002fVv7lzQE2cn9e\\u002fAyQsE+3+178HFSTWvTvZvzZ1K\\u002fnk09m\\u002fMr7ApwrU2b+E1oiNF1LZv2MheYWDZ9i\\u002fH8wG08Ys17+YmmIfr7bVv\\u002fZWMZqpFdS\\u002frONeL4JW0r9XUrQLyYPQv1vLA2ItTs2\\u002fTi3mX3qTyb+jGrJJ5enFv9wS18rKY8K\\u002fUBJ1rvIovr+J5tMI8CS4v6KNay3+9LK\\u002fGwVSEefGrb+Ei1zZtpaov8wZRL1EIqe\\u002fiXcFBugmqr+KfxqD8RWxv+RU\\u002fTYCqre\\u002fq2tkEBZOwL9BmAqsa7bFv+uUVXCNrMu\\u002fa\\u002fkad+Dc0L8pr1Gz2rHTvxMp6mKCH9a\\u002fAyQsE+3+178GFSTWvTvZvzZ1K\\u002fnk09m\\u002fMr7ApwrU2b+F1oiNF1LZv2IheYWDZ9i\\u002fIMwG08Ys17+ZmmIfr7bVv\\u002fVWMZqpFdS\\u002freNeL4JW0r9YUrQLyYPQv2LLA2ItTs2\\u002fUi3mX3qTyb+jGrJJ5enFv+MS18rKY8K\\u002fUhJ1rvIovr+S5tMI8CS4v6iNay3+9LK\\u002fHgVSEefGrb+Vi1zZtpaov8cZRL1EIqe\\u002fiHcFBugmqr+JfxqD8RWxv9lU\\u002fTYCqre\\u002fqWtkEBZOwL8+mAqsa7bFv+KUVXCNrMu\\u002fa\\u002fkad+Dc0L8or1Gz2rHTvxAp6mKCH9a\\u002fASQsE+3+17+iFtP4NzDYv\\u002fBoc7avddm\\u002f7nqUHXMO2r9V9uV2JQnav7aXh\\u002fW+fdm\\u002f7o5VjFyH2L8XyKmRlT\\u002fXvwN7N6Dyu9W\\u002fXisZPGQN1L+\\u002fA2wPHkHSv71LT5IIYtC\\u002f69dGBxL0zL+E6AhyWSXJvyrDJnV8asW\\u002fk2m66nTVwb\\u002fdWtTK+vC8vw+zoGL50La\\u002flBGtFAGBsb9xyj+zEpOqv\\u002fMtOrSNDaW\\u002fja0fMaZEo7\\u002fgCIQwxAemv8xBVtPG9K2\\u002fcIC4NvOhtb\\u002f9oKtUrc2+v0udAN2w\\u002fsS\\u002fnYLrSowyy7\\u002fvEro40cHQv\\u002fsmtnUKt9O\\u002f4uduiQQ\\u002f1r+hFtP4NzDYv+9oc7avddm\\u002f7HqUHXMO2r9U9uV2JQnav7eXh\\u002fW+fdm\\u002f7Y5VjFyH2L8XyKmRlT\\u002fXvwR7N6Dyu9W\\u002fXSsZPGQN1L+\\u002fA2wPHkHSv8BLT5IIYtC\\u002f8ddGBxL0zL+G6AhyWSXJvyvDJnV8asW\\u002fmWm66nTVwb\\u002ffWtTK+vC8vxizoGL50La\\u002fmhGtFAGBsb9syj+zEpOqvwcuOrSNDaW\\u002fiK0fMaZEo7\\u002fdCIQwxAemv81BVtPG9K2\\u002fZoC4NvOhtb\\u002f7oKtUrc2+v0idAN2w\\u002fsS\\u002flYLrSowyy7\\u002fvEro40cHQv\\u002fkmtnUKt9O\\u002f3+duiQQ\\u002f1r+hFtP4NzDYv50n3xCXM9i\\u002flFsHcx+F2b96p5HrRCLav24zb70+G9q\\u002fMd6s7OOJ2b+wiiVx64rYv7nlxOwNOde\\u002fg8oDkI6q1b9eZ9D02\\u002fDTvy8fI\\u002fyMGdK\\u002f1ThEnuMv0L8TOw39MnzMv5i8oyIHnMi\\u002fe680AyDSxL+kDDaUMjDBv52XZL3njru\\u002fuFt9+SJWtb81yoGyZ9Cvv+NVRBsfFae\\u002fhUG+9Vgyob9bPYwfIQaev3wwgrROZ6G\\u002f8OlWqf8Tqb85MwIYvCyzv+Kp\\u002fUb4d7y\\u002fP3xVpgb3w7+CZ+ckl17Kv3czZbWRdtC\\u002fiIP7A++K07\\u002fUVxj+Ii7Wv5wn3xCXM9i\\u002fklsHcx+F2b95p5HrRCLav24zb70+G9q\\u002fMt6s7OOJ2b+viiVx64rYv7nlxOwNOde\\u002fhsoDkI6q1b9cZ9D02\\u002fDTvzAfI\\u002fyMGdK\\u002f2DhEnuMv0L8aOw39MnzMv5q8oyIHnMi\\u002ffa80AyDSxL+rDDaUMjDBv5+XZL3njru\\u002fw1t9+SJWtb9AyoGyZ9Cvv+ZVRBsfFae\\u002fmkG+9Vgyob9RPYwfIQaev3kwgrROZ6G\\u002f8ulWqf8Tqb8sMwIYvCyzv+Kp\\u002fUb4d7y\\u002fO3xVpgb3w794Z+ckl17Kv3gzZbWRdtC\\u002fh4P7A++K07\\u002fRVxj+Ii7Wv5wn3xCXM9i\\u002f93SBzrkJ2L83aVrSCmvZv97bXZXEENq\\u002fjEAjHyYM2r+FF8YKnXjZvyCwLeNqdNi\\u002f9Ahj4HUb179g1+T7yYTVv5szCURZwtO\\u002faScQsRzi0b+2ooqDXN\\u002fPv61fdGA768u\\u002f0XwBIBv8x786nLUuNiXEv6hLl\\u002fYdeMC\\u002fTWw88kQKur8N\\u002f1hmfLuzv6JluTQ6Y6y\\u002fypvxcFFco788emLb0C2av8fNqCSM5ZS\\u002fuNpN7qq8mL8T+BYcAqWjvwp6UI2DWLC\\u002f7AFWh3Koub8cER\\u002fLKqXCv\\u002fiV9AsRNcm\\u002fJ1jCtjn5z7+ANl2jci7Tv73ElsuA7dW\\u002f9nSBzrkJ2L82aVrSCmvZv93bXZXEENq\\u002fi0AjHyYM2r+GF8YKnXjZvx6wLeNqdNi\\u002f9Qhj4HUb179i1+T7yYTVv5ozCURZwtO\\u002faycQsRzi0b+6ooqDXN\\u002fPv7RfdGA768u\\u002f0nwBIBv8x786nLUuNiXEv65Ll\\u002fYdeMC\\u002fT2w88kQKur8W\\u002f1hmfLuzv7BluTQ6Y6y\\u002fx5vxcFFco79lemLb0C2av7\\u002fNqCSM5ZS\\u002ftNpN7qq8mL8W+BYcAqWjvwB6UI2DWLC\\u002f6AFWh3Koub8XER\\u002fLKqXCv++V9AsRNcm\\u002fJ1jCtjn5z79+Nl2jci7Tv7rElsuA7dW\\u002f9XSBzrkJ2L9qSRkX07PXv9VImSfNKNm\\u002fi4refZ7b2b\\u002f3R+tc393Zv6TZ79AwTNm\\u002ftJGEBEVG2L+tqJM7QenWv0pi7GQVTdW\\u002fQ5y1NkiE07+Ugl0VOZ3Rv0TJgzCuR8+\\u002fSjtqhgdGy7\\u002feG1HvW0rHv6Ma5e1PaMO\\u002fbb1O7eNiv78C9YQ8t2q4vwEJnZ\\u002fvB7K\\u002fGmmBfZ3HqL+E32bZ1uyev+rgrttJlpG\\u002fHGHrDZechr9UGPyaOBGMv8FUfYUAhpu\\u002fh6ugYCJoqr8wJWG3\\u002f222vzCwEiMDEMG\\u002f+JZbG9S7x7+\\u002flSZMdqzOv0kW7EVGo9K\\u002fHXyWmGt+1b9pSRkX07PXv9NImSfNKNm\\u002fiorefZ7b2b\\u002f5R+tc393Zv6XZ79AwTNm\\u002fs5GEBEVG2L+uqJM7QenWv0xi7GQVTdW\\u002fQZy1NkiE07+Ugl0VOZ3Rv0jJgzCuR8+\\u002fUTtqhgdGy7\\u002fgG1HvW0rHv6Ma5e1PaMO\\u002feL1O7eNiv78E9YQ8t2q4vwkJnZ\\u002fvB7K\\u002fJWmBfZ3HqL9332bZ1uyevxXhrttJlpG\\u002fBWHrDZechr9KGPyaOBGMv8ZUfYUAhpu\\u002fbaugYCJoqr8vJWG3\\u002f222vyywEiMDEMG\\u002f8JZbG9S7x7+\\u002flSZMdqzOv0gW7EVGo9K\\u002fGnyWmGt+1b9pSRkX07PXv1e74T2JM9e\\u002fAdLPbArA2L9F7pYQpoTZv9kdVWKCktm\\u002f11JZMfQG2b9ILwiw8wLYv98AmnT1pNa\\u002fcUyQIvIF1b9ml9AuIjnTvxjO1x1XTdG\\u002fYG8PP6Wdzr+BgJRNfZHKv1GGWmubi8a\\u002frCpZZg2gwr+6h0AL9cC9v7T1z2b6t7a\\u002fqp\\u002fUgVpCsL\\u002fy8JTVJAqlv6muvUAS4Ja\\u002fiK27yit1gb9xq62K9jNWv2aIgEP47ma\\u002fZ+ErLZ4gjr+pTaVvkJyjv\\u002fd8Sylp2LK\\u002f6VJJV6R+vr9+sZXz7\\u002fnFv4i+oIfSDM2\\u002fxYtLC8\\u002fr0b\\u002fVHbmyzOLUv1a74T2JM9e\\u002f\\u002f9HPbArA2L9F7pYQpoTZv9kdVWKCktm\\u002f2VJZMfQG2b9FLwiw8wLYv+AAmnT1pNa\\u002fc0yQIvIF1b9ll9AuIjnTvxfO1x1XTdG\\u002fZG8PP6Wdzr+JgJRNfZHKv1WGWmubi8a\\u002frCpZZg2gwr\\u002fGh0AL9cC9v7b1z2b6t7a\\u002fs5\\u002fUgVpCsL\\u002f+8JTVJAqlv6iuvUAS4Ja\\u002f3a27yit1gb8Cq62K9jNWvz+IgEP47ma\\u002faOErLZ4gjr+STaVvkJyjv\\u002fR8Sylp2LK\\u002f4VJJV6R+vr91sZXz7\\u002fnFv4i+oIfSDM2\\u002fw4tLC8\\u002fr0b\\u002fSHbmyzOLUv1W74T2JM9e\\u002fn6i8teiK1r9Y7tpNoDLYvwYO4RzCDdm\\u002fcMlreSIs2b+3+e2DLqvYv1zfLhPkrNe\\u002fLYlfKA9R1r8\\u002f+8182rHUvzX34+dX49K\\u002fJcYVgd\\u002f00L8YvNCIC+bNv7QFSBhh0sm\\u002fFJI60o3Exb\\u002fodCDJ+tDBv\\u002f8Bqlz3Ery\\u002fDS0qJsv5tL\\u002f57iiuLuOsv9uImh4XN6G\\u002fHtnxLPRTjb9ykoZC8eMyPzsaIxHOeIE\\u002ftkSj0Sg4gT\\u002fmjMtha9BgvwWQB\\u002fq+1pi\\u002fKYoGD5Lvrb\\u002fpoZKQz3a6v5eO2tBf98O\\u002fuNkfTXMhy7\\u002fRkKTCDwvRv+tn9gcZHdS\\u002fn6i8teiK1r9X7tpNoDLYvwYO4RzCDdm\\u002fcclreSIs2b+4+e2DLqvYv1nfLhPkrNe\\u002fLYlfKA9R1r9A+8182rHUvzT34+dX49K\\u002fJsYVgd\\u002f00L8ZvNCIC+bNv7sFSBhh0sm\\u002fFpI60o3Exb\\u002fpdCDJ+tDBvwsCqlz3Ery\\u002fDy0qJsv5tL8L7yiuLuOsv+OImh4XN6G\\u002fG9nxLPRTjb+8hoZC8eMyP0gaIxHOeIE\\u002fvkSj0Sg4gT8ljctha9Bgv9uPB\\u002fq+1pi\\u002fJooGD5Lvrb\\u002fhoZKQz3a6v4+O2tBf98O\\u002fuNkfTXMhy7\\u002fQkKTCDwvRv+hn9gcZHdS\\u002fn6i8teiK1r9ccl8yWbzVv02PdfWcgte\\u002fUaI+8eB42L8gkcpXvazYv7BA8tYDO9i\\u002fK1smd15G17\\u002fG\\u002fo\\u002fc6e\\u002fVv7aEttgqU9S\\u002f8f\\u002fnBzyF0r\\u002fPHm+6GZbQv2X56tNgJc2\\u002fm2hHeSkNyb\\u002fAU0SHnfnEv0vcpkRn\\u002f8C\\u002fAZsL0B9hur9LlDcfuzezv0toptzbOKm\\u002fiLfSSRO1mr+wqUd+ioR5v5IK6f42yYI\\u002fKvRBLNn0kj\\u002feqxBh9EGUP2s2VPOaX4Y\\u002feySd1F7Ag7+Rt7F5\\u002f7elv1TwAMikGba\\u002f\\u002fZbARry8wb\\u002fzyYn8ZPLIvy4Bki6PBNC\\u002fhIYqIUAw079bcl8yWbzVv02PdfWcgte\\u002fT6I+8eB42L8gkcpXvazYv7FA8tYDO9i\\u002fKlsmd15G17\\u002fF\\u002fo\\u002fc6e\\u002fVv7iEttgqU9S\\u002f8P\\u002fnBzyF0r\\u002fPHm+6GZbQv2j56tNgJc2\\u002fo2hHeSkNyb\\u002fBU0SHnfnEv03cpkRn\\u002f8C\\u002fDpsL0B9hur9NlDcfuzezv2BoptzbOKm\\u002fqbfSSRO1mr+cqUd+ioR5vz0K6f42yYI\\u002fMPRBLNn0kj\\u002fiqxBh9EGUP2s2VPOaX4Y\\u002fKySd1F7Ag7+Mt7F5\\u002f7elv0vwAMikGba\\u002f9ZbARry8wb\\u002fzyYn8ZPLIvy0Bki6PBNC\\u002fgIYqIUAw079bcl8yWbzVv\\u002fb1uhSUytS\\u002f0\\u002fPPNTqy1r+niogb88fXv2732oYxFti\\u002fQTgitWW417\\u002fyWCyoctHWvzMZW4Gqg9W\\u002f76haZAzs079shXev7iDSv+DH5QUYM9C\\u002f0uaF5LFfzL+yuoFd1EXIv02SRci+LsS\\u002fBXtmRTkvwL\\u002fLms+IALO4v4YO5IrxeLG\\u002f6rIjO9iSpb+uBFG3jgCTv6qVPmxTTF4\\u002fpk945NZ6kj\\u002fZQhO2ZC2dP0BSsee69J8\\u002fwTIXzxelmD\\u002fNV2JTZd91P14kmi\\u002flUJq\\u002fTk9krCh4sb8tCqwv2aW+v2eMyEFTiMa\\u002fATBDYHe4zb+lrdbAmR\\u002fSv\\u002fb1uhSUytS\\u002f0\\u002fPPNTqy1r+liogb88fXv2732oYxFti\\u002fQjgitWW417\\u002fxWCyoctHWvzMZW4Gqg9W\\u002f8qhaZAzs079qhXev7iDSv+HH5QUYM9C\\u002f1+aF5LFfzL+6uoFd1EXIv1CSRci+LsS\\u002fBntmRTkvwL\\u002fYms+IALO4v4gO5IrxeLG\\u002f\\u002fLIjO9iSpb\\u002fIBFG3jgCTv7WVPmxTTF4\\u002fd0945NZ6kj\\u002fbQhO2ZC2dP0JSsee69J8\\u002fuDIXzxelmD9sWGJTZd91P1wkmi\\u002flUJq\\u002fRk9krCh4sb8bCqwv2aW+v2eMyEFTiMa\\u002f\\u002fS9DYHe4zb+irdbAmR\\u002fSv\\u002fX1uhSUytS\\u002fGSAxe5q4078FiqzV2sPVvzLolLrq\\u002fNa\\u002fz9HIwzpq17+SyMLcCSXXv7aOeSnpT9a\\u002f+M\\u002fSPi0O1b8AYjPqYX7Tv\\u002fMs88FKuNG\\u002fwlXrfEqbz7+VdfcUdJjLv7YH7gbBf8e\\u002fdozQXEdnw7+iX1PciMe+v1RNMY41D7e\\u002fTbAUO7+Hr7\\u002fbkuwdVP2hvztt9ngYzoa\\u002fkyOdhFQmhD\\u002f6jzmuTnqbP5Pw13wlqKM\\u002fBIR2CtTMpT9k1+RkcBGjP4CumXMABJU\\u002fLtMdszp0gb9ZBHIehEWpv3PhKua2hbm\\u002fOtCuyz\\u002fsw7+r\\u002f5XzmSzLv0cYh5TR7tC\\u002fGCAxe5q4078DiqzV2sPVvzHolLrq\\u002fNa\\u002f0NHIwzpq17+SyMLcCSXXv7WOeSnpT9a\\u002f+M\\u002fSPi0O1b8CYjPqYX7Tv\\u002fIs88FKuNG\\u002fw1XrfEqbz7+XdfcUdJjLv70H7gbBf8e\\u002feIzQXEdnw7+kX1PciMe+v2BNMY41D7e\\u002fUbAUO7+Hr7\\u002fukuwdVP2hv3Jt9ngYzoa\\u002fmyOdhFQmhD\\u002fLjzmuTnqbP5Pw13wlqKM\\u002fBoR2CtTMpT9f1+RkcBGjP6iumXMABJU\\u002fK9Mdszp0gb9JBHIehEWpv1\\u002fhKua2hbm\\u002fO9Cuyz\\u002fsw7+p\\u002f5XzmSzLv0MYh5TR7tC\\u002fGCAxe5q407\\u002fEIDw4qYnSv4xtXX4HutS\\u002fRXCK1LwZ1r+H2y1ycqrWvyQ+YgZmgta\\u002f78wMSTnD1b8qSFA\\u002f95DUvz6e2b+3C9O\\u002f0DMg7tVM0b87U9qHa87Ov3rlhTto0sq\\u002foa2FVZK9xr\\u002fEafOFzqXCv2zPuX9MP72\\u002fXmojjBh7tb95lxx75jusvx14mbcNBp2\\u002fYHGb1W3nb7+hG32WIBeSPzBQXDKEKKI\\u002fKDJOq16lqD+K87eUHY2rP0xzjuTSxak\\u002fXRe613VOoj+muVHHYkOCPwgj7KUmo56\\u002fSVrQJGUqtL\\u002fvpQztOifBvy\\u002fyF\\u002f5Ibsi\\u002fZoig7KBDz7\\u002fDIDw4qYnSv4ltXX4HutS\\u002fRHCK1LwZ1r+H2y1ycqrWvyQ+YgZmgta\\u002f7cwMSTnD1b8rSFA\\u002f95DUv0Ce2b+3C9O\\u002fzjMg7tVM0b8+U9qHa87Ov3\\u002flhTto0sq\\u002fqa2FVZK9xr\\u002fGafOFzqXCv2\\u002fPuX9MP72\\u002fa2ojjBh7tb99lxx75jusv0N4mbcNBp2\\u002fWnKb1W3nb7+lG32WIBeSPxtQXDKEKKI\\u002fJjJOq16lqD+M87eUHY2rP0dzjuTSxak\\u002fbBe613VOoj+quVHHYkOCP\\u002fIi7KUmo56\\u002fOFrQJGUqtL\\u002fvpQztOifBvyzyF\\u002f5Ibsi\\u002fXoig7KBDz7\\u002fDIDw4qYnSv1D\\u002fL0kpQdG\\u002fgf\\u002fAAmmX07\\u002fbXN8xYiDVv\\u002fe6TyNS2NW\\u002fMQQRuq\\u002fR1b\\u002fyWhkghCzVv1lf1EgtDdS\\u002fsy4vADiV0r\\u002fe0r67tN\\u002fQv1eKTFm5Ac6\\u002fTQ2qj4cPyr\\u002ff4mqDHAHGv9rFZQoZ7MG\\u002fJZLhUlzJu79jja22hvqzvyku5kGoFqm\\u002f9D9sDEZZlr9LbVUYnmNpPyUGHpAj4Jk\\u002fKTWjIbZ3pj+pj3R\\u002fe4atPwcyTXQImbA\\u002f3qKbXNQxsD+Sz9TexhCqP7R0KylIFps\\u002faF7wZqDBhL+uc5z1gEitvzXGIx1ChLy\\u002fYP+y91qGxb9p+3EURnnMv0\\u002f\\u002fL0kpQdG\\u002ffv\\u002fAAmmX07\\u002faXN8xYiDVv\\u002fi6TyNS2NW\\u002fMQQRuq\\u002fR1b\\u002fxWhkghCzVv1hf1EgtDdS\\u002ftS4vADiV0r\\u002fc0r67tN\\u002fQv1iKTFm5Ac6\\u002fTw2qj4cPyr\\u002fn4mqDHAHGv97FZQoZ7MG\\u002fKJLhUlzJu79vja22hvqzvy0u5kGoFqm\\u002fG0BsDEZZlr9FbFUYnmNpPyQGHpAj4Jk\\u002fETWjIbZ3pj+jj3R\\u002fe4atPwcyTXQImbA\\u002f2qKbXNQxsD+gz9TexhCqP710KylIFps\\u002fLl7wZqDBhL+Jc5z1gEitvzPGIx1ChLy\\u002fXf+y91qGxb9g+3EURnnMv07\\u002fL0kpQdG\\u002faFexLzjFz78dSwRpvl7Sv+hghMDVEtS\\u002fjLOFdTb11L8aqPE+3xPVv2mNIYWUjNS\\u002fPem+9o+D07+K1XhOpBvSv0oYMe2jcdC\\u002f0D1v6Iw2zb+lJuK5\\u002fFDJv1KoZJVgS8W\\u002fSkNsIBQ7wb+FjAo9qWe6v7a+eizCj7K\\u002frZsgZ20dpr\\u002feWWzKywCQvzb6H\\u002fxmD4Q\\u002fTFd6726woD9BnqY7YaSqP74PITqYIrE\\u002fDreXdkVasz9WDP3bwHCzP8BvyODF3bA\\u002f7tC4tBN\\u002fpj+bB\\u002fe8ORWEP23B8SykBKK\\u002fPJBmOb+Ktr8L8F09e33Cv7EV4wO8hsm\\u002fZlexLzjFz78bSwRpvl7Sv+ZghMDVEtS\\u002fjLOFdTb11L8aqPE+3xPVv2mNIYWUjNS\\u002fPem+9o+D07+M1XhOpBvSv0kYMe2jcdC\\u002f0T1v6Iw2zb+pJuK5\\u002fFDJv1qoZJVgS8W\\u002fTENsIBQ7wb+IjAo9qWe6v8W+eizCj7K\\u002fs5sgZ20dpr8AWmzKywCQv+v5H\\u002fxmD4Q\\u002fTFd6726woD8snqY7YaSqP7wPITqYIrE\\u002fDreXdkVasz9UDP3bwHCzP8ZvyODF3bA\\u002f8tC4tBN\\u002fpj\\u002fCB\\u002fe8ORWEP0rB8SykBKK\\u002fOpBmOb+Ktr8I8F09e33Cv6gV4wO8hsm\\u002fZFexLzjFz7\\u002fwkfh2B+PMv2GHYCPOEtG\\u002fRcVGWw\\u002fz0r8IPTsRYQLUv0fBFta0SdS\\u002fymKN2OPj07\\u002flRowufvTSv\\u002fdKuydWn9G\\u002f39MWSfgC0L9jZw0LdG3Mv6g8QTwql8i\\u002f3eWRYJacxL\\u002fu\\u002frdG4JLAvzicp\\u002fmFGrm\\u002f2Um5qHQ7sb8YFDN2mlKjv6AlmpFfB4S\\u002fnJLNbAiMkD\\u002fifxBx5UekP\\u002f1ZOAvPqa4\\u002fge0G9Glusz9SOnvEpwe2P+BXdi8onLY\\u002fTl0RnSSitD+cCxVRO12vP99qiyuhdJ4\\u002feiTXSnaQir\\u002f+87B2h3Gwvwg1pDPet76\\u002f7SEf0QF0xr\\u002fukfh2B+PMv16HYCPOEtG\\u002fQsVGWw\\u002fz0r8IPTsRYQLUv0bBFta0SdS\\u002fyGKN2OPj07\\u002flRowufvTSv\\u002fhKuydWn9G\\u002f39MWSfgC0L9jZw0LdG3Mv6w8QTwql8i\\u002f5OWRYJacxL\\u002fv\\u002frdG4JLAvzucp\\u002fmFGrm\\u002f5km5qHQ7sb8eFDN2mlKjv+olmpFfB4S\\u002fepLNbAiMkD\\u002fjfxBx5UekP+tZOAvPqa4\\u002fgO0G9Glusz9TOnvEpwe2P95Xdi8onLY\\u002fU10RnSSitD+dCxVRO12vP\\u002fFqiyuhdJ4\\u002fASTXSnaQir\\u002f987B2h3GwvwM1pDPet76\\u002f4yEf0QF0xr\\u002fskfh2B+PMv3+1b8yQ4sm\\u002f8mhJDaZsz7\\u002f7KEfS+sLRv9k\\u002fwCn5ANO\\u002fDfikmr9z07\\u002fmLzxZozLTvwknrvb9X9K\\u002fAYdIQ0Yg0b\\u002fvsv6ySifPvwxfqNpApsu\\u002fDiWpBL7hx7\\u002fvLpBURPTDvyzNvCfW5b+\\u002fjxOUctfgt7\\u002fVZ7vzqPmvvwto1Qa2taC\\u002ff+6ORFyOcb9fUmRyhLWWP200W2TFs6c\\u002fihTIKIVCsT9BdJCtK6W1PygvUW5sn7g\\u002feOXyTYyxuT9N9Jryi1G4P8Kf4CSiDLQ\\u002fXJIRB8pcqT90Ioy2awaDP3o1LQBSjaS\\u002f3x+UXcJSuL\\u002fYzirZsUjDv321b8yQ4sm\\u002f7GhJDaZsz7\\u002f4KEfS+sLRv9g\\u002fwCn5ANO\\u002fDPikmr9z07\\u002flLzxZozLTvwknrvb9X9K\\u002fA4dIQ0Yg0b\\u002fusv6ySifPvw1fqNpApsu\\u002fESWpBL7hx7\\u002f3LpBURPTDvzHNvCfW5b+\\u002fkxOUctfgt7\\u002fwZ7vzqPmvvxFo1Qa2taC\\u002f\\u002fu6ORFyOcb88UmRyhLWWP2s0W2TFs6c\\u002ffxTIKIVCsT89dJCtK6W1PyYvUW5sn7g\\u002fduXyTYyxuT9R9Jryi1G4P8Sf4CSiDLQ\\u002fZJIRB8pcqT\\u002f4Ioy2awaDP3c1LQBSjaS\\u002f2x+UXcJSuL\\u002fOzirZsUjDv3u1b8yQ4sm\\u002fwlseDjrKxr+O5iY5zZfMv7zfDwtshNC\\u002fHuDPhgry0b8RyCCAZZLSv9dbMFbJeNK\\u002fxj29MMvF0b+Ov7O\\u002fGp7Qv71+qdSVRs6\\u002fDtXUhSXgyr+ZkyJr0C\\u002fHv3MQ2XdiUcO\\u002fL8jQ6Cm0vr\\u002fcjq7RX7i2v0Q96L7Oo62\\u002f5x2lIp+HnL9jdzRQmlhMP+zI5hDbhJw\\u002fpNZwpWnzqj\\u002fJyg9VaxqzPwJQT08Uxrc\\u002fzblvVYoguz+J0aahRa+8P0pTLzMY6bs\\u002ffpeEWsRUuD\\u002flgRUUDq+xPwt3CIiRGKA\\u002flf7yQs5ZkL9j0X3ra9mxv9mocynLC8C\\u002fwFseDjrKxr+I5iY5zZfMv7nfDwtshNC\\u002fH+DPhgry0b8PyCCAZZLSv9ZbMFbJeNK\\u002fyD29MMvF0b+Pv7O\\u002fGp7Qv7l+qdSVRs6\\u002fDtXUhSXgyr+akyJr0C\\u002fHv3kQ2XdiUcO\\u002fMsjQ6Cm0vr\\u002fhjq7RX7i2v2A96L7Oo62\\u002f8x2lIp+HnL+CczRQmlhMP8fI5hDbhJw\\u002fotZwpWnzqj\\u002fAyg9VaxqzP\\u002f5PT08Uxrc\\u002fzblvVYoguz+I0aahRa+8P05TLzMY6bs\\u002ffpeEWsRUuD\\u002fpgRUUDq+xPyx3CIiRGKA\\u002fj\\u002f7yQs5ZkL9e0X3ra9mxv8+ocynLC8C\\u002fvlseDjrKxr+1aZiBy5\\u002fDv2K8pnvWq8m\\u002fP7airiNyzr\\u002f4Q9Odg9bQv0mAvPfrpdG\\u002fVIMELCG20b+kg4\\u002f7aiXRv\\u002fEv0fU6GNC\\u002fODXXW5Bizb8Z3jIL2hnKv0wpF2ELgMa\\u002ffy5ngISywr\\u002fHIpEvvI29vyDXRloanrW\\u002f+7DvPbRvq79HWJyAMPCXv72kU7+UWnc\\u002fEATjO1v\\u002foD+iJWfo\\u002fQeuPzdikR\\u002fB3LQ\\u002fu7sekP3QuT935cpUioq9PwTa4ytMlL8\\u002fQeZjGbVmvz9jzvI3S4O8Px0LjpVBmbY\\u002fYmJN+DhQqz\\u002fJxuDi\\u002f6SAP0ZLF2mvr6a\\u002f5kJbMAaHub+zaZiBy5\\u002fDv1y8pnvWq8m\\u002fPLairiNyzr\\u002f6Q9Odg9bQv0iAvPfrpdG\\u002fUoMELCG20b+kg4\\u002f7aiXRv\\u002fQv0fU6GNC\\u002fNjXXW5Bizb8b3jIL2hnKv04pF2ELgMa\\u002fiC5ngISywr\\u002fKIpEvvI29vyTXRloanrW\\u002fFLHvPbRvq79TWJyAMPCXvz2kU7+UWnc\\u002f\\u002fgPjO1v\\u002foD+gJWfo\\u002fQeuPy9ikR\\u002fB3LQ\\u002ftbsekP3QuT925cpUioq9PwLa4ytMlL8\\u002fQ+ZjGbVmvz9jzvI3S4O8PyALjpVBmbY\\u002fgGJN+DhQqz\\u002fTxuDi\\u002f6SAPz1LF2mvr6a\\u002f0UJbMAaHub+xaZiBy5\\u002fDv\\u002fLEehxGaMC\\u002fVwuHk\\u002fGsxr\\u002fiHYA008TLv+mhiS1nXs+\\u002fqqhYyoCu0L9xYtSgXOrQvyrI19RBftC\\u002fwQB\\u002f6M0bz7+DCcIwpXnMv17o4OzHUcm\\u002fLUlbctXQxb9OgRH4BRbCv0FjFIYpb7y\\u002fVCKrgpuOtL\\u002fetxB8wFapvzI8xGktmZO\\u002fbFKs6BYEhT8KN7jUW5WjP5WCdTgOerA\\u002fPmH5VEyKtj+BLjgaQMa7P7lLu4ld3b8\\u002fFJwoWwEwwT9PVrxtb2TBP1FEHPyqSsA\\u002fNwp3u1Jouz82rUV+ky2zP\\u002fiqfzDeY6A\\u002fUQ0zqEdgk7\\u002fFcVexRuqyv\\u002fDEehxGaMC\\u002fUAuHk\\u002fGsxr\\u002fdHYA008TLv+ehiS1nXs+\\u002fqKhYyoCu0L9wYtSgXOrQvyrI19RBftC\\u002fwwB\\u002f6M0bz7+CCcIwpXnMv1\\u002fo4OzHUcm\\u002fMElbctXQxb9UgRH4BRbCv0RjFIYpb7y\\u002fWiKrgpuOtL\\u002f3txB8wFapvzw8xGktmZO\\u002fLFKs6BYEhT\\u002f1NrjUW5WjP5OCdTgOerA\\u002fNmH5VEyKtj98LjgaQMa7P7lLu4ld3b8\\u002fEpwoWwEwwT9SVrxtb2TBP1BEHPyqSsA\\u002fPAp3u1Jouz9FrUV+ky2zP\\u002fuqfzDeY6A\\u002fQg0zqEdgk7+wcVexRuqyv+7EehxGaMC\\u002ffNWh4pBPur\\u002fS3teSnZ7Dv85+RN5rA8m\\u002fr30+dZL5zL9pc45xhVjPv3dMGPskFdC\\u002fvQ3LO1Sfz7+W1HcVoPzNv9b87M0bisu\\u002fK2Hz+zaGyL9XZ8mveyDFv2zkmiMzesG\\u002f8zJ9Qv5Uu7\\u002fu7P8+aIazvwN5niYcUqe\\u002fQzc+4mjrjr\\u002fJ9TWRz+CNP5K7kjonCaY\\u002fAuhdzardsT+NNkWiQiS4P8BLqTONpr0\\u002fpqeM7JsMwT\\u002fy6DKfBYnCP5UKMrA2B8M\\u002f7h\\u002f4QVBEwj8jKnuPRwzAP7Li55Vbl7g\\u002f74BhZSx1rD\\u002f2zucjCt15P6HHe8zgk6i\\u002feNWh4pBPur\\u002fL3teSnZ7Dv8t+RN5rA8m\\u002frn0+dZL5zL9mc45xhVjPv3ZMGPskFdC\\u002fvw3LO1Sfz7+Y1HcVoPzNv9b87M0bisu\\u002fLWHz+zaGyL9bZ8mveyDFv3HkmiMzesG\\u002f9zJ9Qv5Uu7\\u002f27P8+aIazvxp5niYcUqe\\u002fVzc+4mjrjr+K9TWRz+CNP327kjonCaY\\u002fAOhdzardsT+FNkWiQiS4P7tLqTONpr0\\u002fp6eM7JsMwT\\u002fx6DKfBYnCP5UKMrA2B8M\\u002f7x\\u002f4QVBEwj8lKnuPRwzAP8Hi55Vbl7g\\u002f8oBhZSx1rD85z+cjCt15P3fHe8zgk6i\\u002fdNWh4pBPur8oxf2jDMOzv+u6YaCcg8C\\u002f6s5qgvQvxr9shgJ5p3\\u002fKv6tqrQSTPs2\\u002fq1A\\u002fbFRszr97qCUaETLOv33FUSlf0cy\\u002fUJkBHUWSyr+quyUpdrXHv7JytNVVbcS\\u002fI4hLBmrdwL+K8VQT9zu6v\\u002f0Hbyw5grK\\u002f8VNsMEFbpb+akympSfKGv1Ve4qZnLZM\\u002f1z8pcs5fqD96RnrN2zCzP7K723kbrLk\\u002f4uw3CM1yvz9e2UNsOh\\u002fCPxQ8LnAV1cM\\u002fIM0TVTibxD8fnYnTqi3EP6eNIr6EU8I\\u002fU2frhlDhvT8glHAtRim0Pz7Mq5M1B6A\\u002fSmQjg4qylr8jxf2jDMOzv+W6YaCcg8C\\u002f5s5qgvQvxr9rhgJ5p3\\u002fKv6lqrQSTPs2\\u002fq1A\\u002fbFRszr98qCUaETLOv3\\u002fFUSlf0cy\\u002fUJkBHUWSyr+quyUpdrXHv7dytNVVbcS\\u002fKYhLBmrdwL+M8VQT9zu6vwQIbyw5grK\\u002fCFRsMEFbpb+ukympSfKGvzhe4qZnLZM\\u002fwj8pcs5fqD93RnrN2zCzP62723kbrLk\\u002f2uw3CM1yvz9d2UNsOh\\u002fCPxM8LnAV1cM\\u002fH80TVTibxD8fnYnTqi3EP6eNIr6EU8I\\u002fX2frhlDhvT8ilHAtRim0P0TMq5M1B6A\\u002f9WMjg4qylr8fxf2jDMOzv9FSaldVX6q\\u002f47EVUvS7ur+0odFq+UvDv6LTjzuM8ce\\u002fMyPWJVoPy785IqUHXprMv8TyMcu4s8y\\u002fMrHd5bKYy7+EWl0QoJDJv2emKu773ca\\u002fXdjKA+G1w78TMVVKMD7Av+0g+uwnIbm\\u002fqw4KFCJ\\u002fsb8fnFbaU2yjv2qaYYSwX36\\u002fCy2ExBNElz\\u002f+Wr8LS56qPzTNpB22dbQ\\u002fRCHheWsjuz+YHdD\\u002fA5bAP3a0od3FJsM\\u002fE5D9kSAUxT9kteVZESDGP5xOUC36BcY\\u002f0Tro+beIxD8TN6JOI4TBPxi9s+QK+rk\\u002fSVV7H4WprD+Ky4\\u002fLhxptP8hSaldVX6q\\u002f1bEVUvS7ur+wodFq+UvDv6DTjzuM8ce\\u002fMCPWJVoPy785IqUHXprMv8TyMcu4s8y\\u002fM7Hd5bKYy7+FWl0QoJDJv2emKu773ca\\u002fYdjKA+G1w78ZMVVKMD7Av+4g+uwnIbm\\u002fsQ4KFCJ\\u002fsb83nFbaU2yjv5KaYYSwX36\\u002f7iyExBNElz\\u002fnWr8LS56qPzLNpB22dbQ\\u002fPiHheWsjuz+THdD\\u002fA5bAP3W0od3FJsM\\u002fEpD9kSAUxT9jteVZESDGP5xOUC36BcY\\u002f0jro+beIxD8YN6JOI4TBPxq9s+QK+rk\\u002fUFV7H4WprD87zo\\u002fLhxptP79SaldVX6q\\u002fs+p2JHFimr\\u002fMGMaWSF60v5Qf7AaeWMC\\u002fOvqhS\\u002ftPxb+yGjSeF8vIv7mskLIhtMq\\u002fsIo3B5Qjy79GNE22kFHKv0R3T0byg8i\\u002fByHrUHv+xb9+8iQEz\\u002fjCv7GVza15Nr+\\u002fdWFLhAcCuL8l4Sprm3qwvwVD2nc9gKG\\u002feqSKLNY+br9cEXMcXD6bPwps1JU9yaw\\u002fPEPOfD6utT9DM2fMz4u8P984+pSvacE\\u002fIPu6\\u002f4kjxD86bUWDKUbGP0k5t453lcc\\u002fX93y26TMxz+3nW2O+KrGP25yLarsBMQ\\u002fWFhMngeqvz\\u002fO\\u002fnLIG460Pyc6KzuozJ0\\u002foep2JHFimr++GMaWSF60v5Af7AaeWMC\\u002fOPqhS\\u002ftPxb+uGjSeF8vIv7iskLIhtMq\\u002fsYo3B5Qjy79INE22kFHKv0N3T0byg8i\\u002fByHrUHv+xb+B8iQEz\\u002fjCv7yVza15Nr+\\u002fdmFLhAcCuL8s4Sprm3qwvx1D2nc9gKG\\u002fzqSKLNY+br8+EXMcXD6bP\\u002fJr1JU9yaw\\u002fO0POfD6utT88M2fMz4u8P9s4+pSvacE\\u002fH\\u002fu6\\u002f4kjxD84bUWDKUbGP0c5t453lcc\\u002fX93y26TMxz+3nW2O+KrGP3RyLarsBMQ\\u002fWlhMngeqvz\\u002fR\\u002fnLIG460P3s6KzuozJ0\\u002fj+p2JHFimr+5\\u002fEhL0ymHvGQOx9Vb4Ku\\u002fmL+uEnitur9KToIpl5vCv0\\u002f1H20gcsa\\u002fRpxY+Je5yL+QdJ6KPoHJv19SKl9G+8i\\u002fE7ayDlNrx7\\u002fQb3h67BXFv3xj2CIKNcK\\u002faJuqKezmvb97SYyQYty2v+tMAzLi5K6\\u002fHhHqXholn7\\u002fLAYokETB7vAIR6l4aJZ8\\u002f3EwDMuLkrj94SYyQYty2P2Kbqins5r0\\u002fd2PYIgo1wj\\u002fNb3h67BXFPw+2sg5Ta8c\\u002fXFIqX0b7yD+OdJ6KPoHJP0acWPiXucg\\u002fT\\u002fUfbSByxj9KToIpl5vCP6K\\u002frhJ4rbo\\u002fbA7H1Vvgqz8EaApUvit8PEYOx9Vb4Ku\\u002fkL+uEnitur9JToIpl5vCv0v1H20gcsa\\u002fRZxY+Je5yL+QdJ6KPoHJv2BSKl9G+8i\\u002fFLayDlNrx7\\u002fQb3h67BXFv4Bj2CIKNcK\\u002fcpuqKezmvb98SYyQYty2v\\u002flMAzLi5K6\\u002fTxHqXholn78VT3tS0hKRvOcQ6l4aJZ8\\u002fxEwDMuLkrj92SYyQYty2P1ybqins5r0\\u002fcmPYIgo1wj\\u002fMb3h67BXFPw22sg5Ta8c\\u002fWlIqX0b7yD+OdJ6KPoHJP0acWPiXucg\\u002fVPUfbSByxj9LToIpl5vCP6W\\u002frhJ4rbo\\u002flg7H1Vvgqz9esqnPyKqZPJzqdiRxYpo\\u002fFzorO6jMnb\\u002fF\\u002fnLIG460v1lYTJ4Hqr+\\u002fbnItquwExL+2nW2O+KrGv2Dd8tukzMe\\u002fSTm3jneVx787bUWDKUbGvyL7uv+JI8S\\u002f4Tj6lK9pwb9KM2fMz4u8v0FDznw+rrW\\u002fF2zUlT3JrL95EXMcXD6bvw+kiizWPm4\\u002f9ULadz2AoT8e4Sprm3qwP3BhS4QHArg\\u002fqJXNrXk2vz958iQEz\\u002fjCPwUh61B7\\u002fsU\\u002fQHdPRvKDyD9FNE22kFHKP7CKNweUI8s\\u002fuayQsiG0yj+yGjSeF8vIPzr6oUv7T8U\\u002fmB\\u002fsBp5YwD\\u002fQGMaWSF60P67qdiRxYpo\\u002f2DkrO6jMnb+9\\u002fnLIG460v1RYTJ4Hqr+\\u002fanItquwExL+2nW2O+KrGv2Dd8tukzMe\\u002fSjm3jneVx788bUWDKUbGvyL7uv+JI8S\\u002f5Tj6lK9pwb9TM2fMz4u8v0FDznw+rrW\\u002fJmzUlT3JrL+oEXMcXD6bv7ujiizWPm4\\u002f50Ladz2AoT8S4Sprm3qwP25hS4QHArg\\u002fpZXNrXk2vz918iQEz\\u002fjCPwQh61B7\\u002fsU\\u002fP3dPRvKDyD9DNE22kFHKP6+KNweUI8s\\u002fuayQsiG0yj+3GjSeF8vIPzv6oUv7T8U\\u002fmR\\u002fsBp5YwD\\u002flGMaWSF60P8HqdiRxYpo\\u002fxVJqV1Vfqj\\u002f6yo\\u002fLhxptvzZVex+Fqay\\u002fGb2z5Ar6ub8QN6JOI4TBv9A66Pm3iMS\\u002fnE5QLfoFxr9lteVZESDGvxWQ\\u002fZEgFMW\\u002fd7Sh3cUmw7+bHdD\\u002fA5bAv0oh4XlrI7u\\u002fOc2kHbZ1tL8KW78LS56qvykthMQTRJe\\u002fMpphhLBffj8PnFbaU2yjP6MOChQif7E\\u002f6SD67CchuT8PMVVKMD7AP1rYygPhtcM\\u002fZqYq7vvdxj+BWl0QoJDJPy+x3eWymMs\\u002fw\\u002fIxy7izzD85IqUHXprMPzIj1iVaD8s\\u002fotOPO4zxxz+4odFq+UvDP+exFVL0u7o\\u002fzVJqV1Vfqj8LyY\\u002fLhxptvyVVex+Fqay\\u002fFL2z5Ar6ub8MN6JOI4TBv9A66Pm3iMS\\u002fm05QLfoFxr9lteVZESDGvxaQ\\u002fZEgFMW\\u002fd7Sh3cUmw7+eHdD\\u002fA5bAv1Qh4XlrI7u\\u002fOM2kHbZ1tL8aW78LS56qv1gthMQTRJe\\u002fCpphhLBffj8DnFbaU2yjP5cOChQif7E\\u002f5iD67CchuT8MMVVKMD7AP1TYygPhtcM\\u002fZaYq7vvdxj+AWl0QoJDJPyyx3eWymMs\\u002fw\\u002fIxy7izzD85IqUHXprMPzYj1iVaD8s\\u002fo9OPO4zxxz+5odFq+UvDP\\u002fuxFVL0u7o\\u002f11JqV1Vfqj8ixf2jDMOzP1xkI4OKspY\\u002fK8yrkzUHoL8jlHAtRim0v1Jn64ZQ4b2\\u002fpo0ivoRTwr8gnYnTqi3EvyHNE1U4m8S\\u002fFzwucBXVw79g2UNsOh\\u002fCv+jsNwjNcr+\\u002fubvbeRusub98RnrN2zCzv+U\\u002fKXLOX6i\\u002fcV7ipmctk797kympSfKGP99TbDBBW6U\\u002f9AdvLDmCsj+G8VQT9zu6Px2ISwZq3cA\\u002frnK01VVtxD+nuyUpdrXHP0qZAR1Fkso\\u002fecVRKV\\u002fRzD95qCUaETLOP6hQP2xUbM4\\u002fqmqtBJM+zT9qhgJ5p3\\u002fKP+7OaoL0L8Y\\u002f7bphoJyDwD8mxf2jDMOzP5tkI4OKspY\\u002fG8yrkzUHoL8dlHAtRim0v0pn64ZQ4b2\\u002fpo0ivoRTwr8gnYnTqi3EvyHNE1U4m8S\\u002fGTwucBXVw79f2UNsOh\\u002fCv\\u002fDsNwjNcr+\\u002fwbvbeRusub99RnrN2zCzv\\u002fQ\\u002fKXLOX6i\\u002fn17ipmctk79nkympSfKGP9NTbDBBW6U\\u002f6AdvLDmCsj+D8VQT9zu6PxuISwZq3cA\\u002fqXK01VVtxD+luyUpdrXHP0mZAR1Fkso\\u002fdsVRKV\\u002fRzD96qCUaETLOP6lQP2xUbM4\\u002frmqtBJM+zT9rhgJ5p3\\u002fKP+7OaoL0L8Y\\u002f97phoJyDwD8qxf2jDMOzP3fVoeKQT7o\\u002frMd7zOCTqD88zucjCt15v+yAYWUsday\\u002fr+LnlVuXuL8hKnuPRwzAv+4f+EFQRMK\\u002flQoysDYHw7\\u002f06DKfBYnCv6enjOybDMG\\u002fxUupM42mvb+RNkWiQiS4vwboXc2q3bG\\u002fnruSOicJpr\\u002f89TWRz+CNvyU3PuJo644\\u002f83ieJhxSpz\\u002fn7P8+aIazP\\u002fIyfUL+VLs\\u002fZ+SaIzN6wT9TZ8mveyDFPylh8\\u002fs2hsg\\u002f0fzszRuKyz+T1HcVoPzNP70NyztUn88\\u002fdUwY+yQV0D9nc45xhVjPP659PnWS+cw\\u002f0n5E3msDyT\\u002fU3teSnZ7DP3vVoeKQT7o\\u002fzMd7zOCTqD\\u002fLzecjCt15v+aAYWUsday\\u002fpOLnlVuXuL8gKnuPRwzAv+8f+EFQRMK\\u002flQoysDYHw7\\u002f26DKfBYnCv6enjOybDMG\\u002fzUupM42mvb+YNkWiQiS4vwXoXc2q3bG\\u002frruSOicJpr9X9jWRz+CNvxE3PuJo644\\u002f53ieJhxSpz\\u002fa7P8+aIazP+4yfUL+VLs\\u002fZeSaIzN6wT9OZ8mveyDFPylh8\\u002fs2hsg\\u002f0PzszRuKyz+P1HcVoPzNP7sNyztUn88\\u002fdUwY+yQV0D9rc45xhVjPP699PnWS+cw\\u002f0n5E3msDyT\\u002fe3teSnZ7DP3\\u002fVoeKQT7o\\u002f78R6HEZowD\\u002fKcVexRuqyP4ANM6hHYJM\\u002f+6p\\u002fMN5joL82rUV+ky2zvzUKd7tSaLu\\u002fUkQc\\u002fKpKwL9SVrxtb2TBvxacKFsBMMG\\u002fv0u7iV3dv7+KLjgaQMa7v0Nh+VRMira\\u002fmYJ1OA56sL8XN7jUW5Wjv6ZSrOgWBIW\\u002fIjzEaS2Zkz\\u002fNtxB8wFapP0wiq4KbjrQ\\u002fPWMUhilvvD9KgRH4BRbCPylJW3LV0MU\\u002fXOjg7MdRyT9+CcIwpXnMP78Af+jNG88\\u002fKsjX1EF+0D9wYtSgXOrQP6qoWMqArtA\\u002f6KGJLWdezz\\u002flHYA008TLP1gLh5PxrMY\\u002f8cR6HEZowD\\u002fZcVexRuqyP50NM6hHYJM\\u002f86p\\u002fMN5joL8srUV+ky2zvzQKd7tSaLu\\u002fUkQc\\u002fKpKwL9RVrxtb2TBvxicKFsBMMG\\u002fvUu7iV3dv7+QLjgaQMa7v0xh+VRMira\\u002fmYJ1OA56sL8oN7jUW5Wjv\\u002fxSrOgWBIW\\u002fGDzEaS2Zkz\\u002fCtxB8wFapPz8iq4KbjrQ\\u002fO2MUhilvvD9HgRH4BRbCPyJJW3LV0MU\\u002fWujg7MdRyT98CcIwpXnMP7sAf+jNG88\\u002fKcjX1EF+0D9wYtSgXOrQP6uoWMqArtA\\u002f6KGJLWdezz\\u002flHYA008TLP2ILh5PxrMY\\u002f9MR6HEZowD+0aZiBy5\\u002fDP+9CWzAGh7k\\u002fYUsXaa+vpj++xuDi\\u002f6SAv1ViTfg4UKu\\u002fFQuOlUGZtr9izvI3S4O8vz\\u002fmYxm1Zr+\\u002fBNrjK0yUv7945cpUioq9v8C7HpD90Lm\\u002fOWKRH8HctL+lJWfo\\u002fQeuvxkE4ztb\\u002f6C\\u002fEaVTv5Rad79CWJyAMPCXP+2w7z20b6s\\u002fGNdGWhqetT\\u002fFIpEvvI29P3wuZ4CEssI\\u002fSCkXYQuAxj8Z3jIL2hnKPzI111uQYs0\\u002f8i\\u002fR9ToY0D+kg4\\u002f7aiXRP1KDBCwhttE\\u002fSIC89+ul0T\\u002f4Q9Odg9bQP0O2oq4jcs4\\u002fZbyme9aryT+2aZiBy5\\u002fDP\\u002f1CWzAGh7k\\u002fcEsXaa+vpj+OxuDi\\u002f6SAvz5iTfg4UKu\\u002fFAuOlUGZtr9izvI3S4O8v0DmYxm1Zr+\\u002fCdrjK0yUv7935cpUioq9v8a7HpD90Lm\\u002fQGKRH8HctL+lJWfo\\u002fQeuvyoE4ztb\\u002f6C\\u002ftqVTv5Rad782WJyAMPCXP+Gw7z20b6s\\u002fCtdGWhqetT\\u002fBIpEvvI29P3ouZ4CEssI\\u002fQSkXYQuAxj8W3jIL2hnKPzM111uQYs0\\u002f7y\\u002fR9ToY0D+kg4\\u002f7aiXRP1KDBCwhttE\\u002fSYC89+ul0T\\u002f5Q9Odg9bQP0S2oq4jcs4\\u002fbbyme9aryT+4aZiBy5\\u002fDP8FbHg46ysY\\u002f3ahzKcsLwD9x0X3ra9mxP5r+8kLOWZA\\u002fAXcIiJEYoL\\u002fcgRUUDq+xv3yXhFrEVLi\\u002fSlMvMxjpu7+L0aahRa+8v8+5b1WKILu\\u002fB1BPTxTGt7\\u002fMyg9Vaxqzv6rWcKVp86q\\u002fAsnmENuEnL\\u002fkejRQmlhMv9odpSKfh5w\\u002fMT3ovs6jrT\\u002fSjq7RX7i2PyrI0OgptL4\\u002fbhDZd2JRwz+UkyJr0C\\u002fHPwvV1IUl4Mo\\u002ftX6p1JVGzj+Mv7O\\u002fGp7QP8Y9vTDLxdE\\u002f1VswVsl40j8QyCCAZZLSPx7gz4YK8tE\\u002fvd8PC2yE0D+R5iY5zZfMP8NbHg46ysY\\u002f5ahzKcsLwD950X3ra9mxP7P+8kLOWZA\\u002f6HYIiJEYoL\\u002fbgRUUDq+xv32XhFrEVLi\\u002fSFMvMxjpu7+Q0aahRa+8v825b1WKILu\\u002fDlBPTxTGt7\\u002fSyg9Vaxqzv6jWcKVp86q\\u002fJcnmENuEnL\\u002fkfzRQmlhMv84dpSKfh5w\\u002fJj3ovs6jrT\\u002fFjq7RX7i2PyfI0OgptL4\\u002fbBDZd2JRwz+OkyJr0C\\u002fHPwjV1IUl4Mo\\u002fs36p1JVGzj+Kv7O\\u002fGp7QP8Y9vTDLxdE\\u002f1lswVsl40j8QyCCAZZLSPx\\u002fgz4YK8tE\\u002fvd8PC2yE0D+Y5iY5zZfMP8VbHg46ysY\\u002ffLVvzJDiyT\\u002fczirZsUjDP+wflF3CUrg\\u002fejUtAFKNpD9DIoy2awaDv0qSEQfKXKm\\u002fwp\\u002fgJKIMtL9N9Jryi1G4v3nl8k2Msbm\\u002fKC9RbmyfuL9HdJCtK6W1v4wUyCiFQrG\\u002fczRbZMWzp791UmRyhLWWvw7ujkRcjnE\\u002fBGjVBra1oD\\u002fBZ7vzqPmvP4UTlHLX4Lc\\u002fKM28J9blvz\\u002foLpBURPTDPwglqQS+4cc\\u002fB1+o2kCmyz\\u002fqsv6ySifPP\\u002f+GSENGINE\\u002fByeu9v1f0j\\u002fkLzxZozLTPwv4pJq\\u002fc9M\\u002f2D\\u002fAKfkA0z\\u002f7KEfS+sLRP\\u002fJoSQ2mbM8\\u002ffrVvzJDiyT\\u002fkzirZsUjDP\\u002fQflF3CUrg\\u002fhjUtAFKNpD\\u002fsIYy2awaDv0uSEQfKXKm\\u002fxJ\\u002fgJKIMtL9L9Jryi1G4v3\\u002fl8k2Msbm\\u002fJy9RbmyfuL9NdJCtK6W1v5EUyCiFQrG\\u002fcDRbZMWzp7+aUmRyhLWWv3ftjkRcjnE\\u002f\\u002fmfVBra1oD+6Z7vzqPmvP3YTlHLX4Lc\\u002fI828J9blvz\\u002foLpBURPTDPwElqQS+4cc\\u002fB1+o2kCmyz\\u002fpsv6ySifPP\\u002fyGSENGINE\\u002fByeu9v1f0j\\u002fjLzxZozLTPwz4pJq\\u002fc9M\\u002f2D\\u002fAKfkA0z\\u002f8KEfS+sLRP\\u002ftoSQ2mbM8\\u002fgLVvzJDiyT\\u002ftkfh2B+PMP+8hH9EBdMY\\u002fFDWkM963vj\\u002f+87B2h3GwP6Ak10p2kIo\\u002fwWqLK6F0nr+dCxVRO12vv1BdEZ0korS\\u002f41d2Lyictr9UOnvEpwe2v4ftBvRpbrO\\u002fBFo4C8+prr\\u002fqfxBx5Uekv7SSzWwIjJC\\u002fcSWakV8HhD8SFDN2mlKjP85Juah0O7E\\u002fLpyn+YUauT\\u002ft\\u002frdG4JLAP9blkWCWnMQ\\u002fpTxBPCqXyD9gZw0LdG3MP93TFkn4AtA\\u002f9Uq7J1af0T\\u002fkRowufvTSP8hijdjj49M\\u002fRsEW1rRJ1D8IPTsRYQLUP0XFRlsP89I\\u002fYodgI84S0T\\u002fvkfh2B+PMP\\u002fchH9EBdMY\\u002fGjWkM963vj8D9LB2h3GwP\\u002f0k10p2kIo\\u002fwmqLK6F0nr+fCxVRO12vv01dEZ0korS\\u002f6ld2Lyictr9TOnvEpwe2v43tBvRpbrO\\u002fDlo4C8+prr\\u002fpfxBx5Uekv9qSzWwIjJC\\u002fJiWakV8HhD8MFDN2mlKjP8tJuah0O7E\\u002fIZyn+YUauT\\u002fp\\u002frdG4JLAP9XlkWCWnMQ\\u002fnzxBPCqXyD9gZw0LdG3MP93TFkn4AtA\\u002f8kq7J1af0T\\u002fjRowufvTSP8hijdjj49M\\u002fR8EW1rRJ1D8IPTsRYQLUP0TFRlsP89I\\u002fZYdgI84S0T\\u002fxkfh2B+PMP2ZXsS84xc8\\u002ftBXjA7yGyT8R8F09e33CPz2QZjm\\u002firY\\u002fesHxLKQEoj8+B\\u002fe8ORWEv+zQuLQTf6a\\u002fvm\\u002fI4MXdsL9UDP3bwHCzvw23l3ZFWrO\\u002fwQ8hOpgisb9BnqY7YaSqv09Xeu9usKC\\u002fVPof\\u002fGYPhL\\u002fKWWzKywCQP6mbIGdtHaY\\u002fsL56LMKPsj99jAo9qWe6P0lDbCAUO8E\\u002fTKhklWBLxT+fJuK5\\u002fFDJP8w9b+iMNs0\\u002fRxgx7aNx0D+I1XhOpBvSPzvpvvaPg9M\\u002fZ40hhZSM1D8YqPE+3xPVP4qzhXU29dQ\\u002f52CEwNUS1D8dSwRpvl7SP2hXsS84xc8\\u002fuxXjA7yGyT8W8F09e33CP0OQZjm\\u002firY\\u002flsHxLKQEoj9DB\\u002fe8ORWEv+vQuLQTf6a\\u002fum\\u002fI4MXdsL9aDP3bwHCzvwy3l3ZFWrO\\u002fxg8hOpgisb9InqY7YaSqv05Xeu9usKC\\u002fnfof\\u002fGYPhL+iWWzKywCQP6ObIGdtHaY\\u002frL56LMKPsj9vjAo9qWe6P0VDbCAUO8E\\u002fS6hklWBLxT+ZJuK5\\u002fFDJP8o9b+iMNs0\\u002fRRgx7aNx0D+G1XhOpBvSPzvpvvaPg9M\\u002fZo0hhZSM1D8YqPE+3xPVP4yzhXU29dQ\\u002f52CEwNUS1D8hSwRpvl7SP2pXsS84xc8\\u002fTP8vSSlB0T9n+3EURnnMP2H\\u002fsvdahsU\\u002fKsYjHUKEvD+oc5z1gEitP3Ve8GagwYQ\\u002f2HQrKUgWm7+ez9TexhCqv+Sim1zUMbC\\u002fDzJNdAiZsL+7j3R\\u002fe4atvzU1oyG2d6a\\u002fRgYekCPgmb9mblUYnmNpv8w\\u002fbAxGWZY\\u002fFy7mQagWqT9Xja22hvqzPxeS4VJcybs\\u002f2MVlChnswT\\u002fY4mqDHAHGP0UNqo+HD8o\\u002fUopMWbkBzj\\u002fa0r67tN\\u002fQP7EuLwA4ldI\\u002fVl\\u002fUSC0N1D\\u002fwWhkghCzVPy4EEbqv0dU\\u002f9bpPI1LY1T\\u002fYXN8xYiDVP33\\u002fwAJpl9M\\u002fTf8vSSlB0T9t+3EURnnMP2X\\u002fsvdahsU\\u002fMcYjHUKEvD\\u002fEc5z1gEitP29e8GagwYQ\\u002f1HQrKUgWm7+Wz9TexhCqv+qim1zUMbC\\u002fDDJNdAiZsL\\u002fHj3R\\u002fe4atvzo1oyG2d6a\\u002fQAYekCPgmb+Wb1UYnmNpv6w\\u002fbAxGWZY\\u002fEy7mQagWqT9Rja22hvqzPwiS4VJcybs\\u002f1sVlChnswT\\u002fX4mqDHAHGPz8Nqo+HD8o\\u002fUYpMWbkBzj\\u002fZ0r67tN\\u002fQP64uLwA4ldI\\u002fVl\\u002fUSC0N1D\\u002fuWhkghCzVPy4EEbqv0dU\\u002f9rpPI1LY1T\\u002faXN8xYiDVP4H\\u002fwAJpl9M\\u002fTv8vSSlB0T\\u002fEIDw4qYnSP2qIoOygQ88\\u002fNvIX\\u002fkhuyD\\u002fwpQztOifBP1Na0CRlKrQ\\u002fPCPspSajnj+NuVHHYkOCv1UXutd1TqK\\u002fRXOO5NLFqb+M87eUHY2rvysyTqtepai\\u002fMFBcMoQoor+rG32WIBeSv9twm9Vt528\\u002fA3iZtw0GnT9vlxx75jusP1VqI4wYe7U\\u002fYc+5f0w\\u002fvT\\u002fDafOFzqXCP5qthVWSvcY\\u002fduWFO2jSyj87U9qHa87OP8wzIO7VTNE\\u002fPJ7Zv7cL0z8qSFA\\u002f95DUP+zMDEk5w9U\\u002fIj5iBmaC1j+G2y1ycqrWP0ZwitS8GdY\\u002fi21dfge61D\\u002fEIDw4qYnSP3GIoOygQ88\\u002fOfIX\\u002fkhuyD\\u002fzpQztOifBP2Fa0CRlKrQ\\u002fOCPspSajnj+VuVHHYkOCv00Xutd1TqK\\u002fUnOO5NLFqb+G87eUHY2rvzgyTqtepai\\u002fN1BcMoQoor+nG32WIBeSv6Vvm9Vt528\\u002f5HeZtw0GnT9rlxx75jusP1BqI4wYe7U\\u002fU8+5f0w\\u002fvT++afOFzqXCP5mthVWSvcY\\u002fbuWFO2jSyj84U9qHa87OP8szIO7VTNE\\u002fOp7Zv7cL0z8qSFA\\u002f95DUP+zMDEk5w9U\\u002fIz5iBmaC1j+H2y1ycqrWP0VwitS8GdY\\u002fj21dfge61D\\u002fFIDw4qYnSPxogMXuauNM\\u002fSxiHlNHu0D+3\\u002f5XzmSzLPz\\u002fQrss\\u002f7MM\\u002fguEq5raFuT+ABHIehEWpP23THbM6dIE\\u002fXq6ZcwAElb9X1+RkcBGjvwCEdgrUzKW\\u002fl\\u002fDXfCWoo7\\u002fujzmuTnqbv5kjnYRUJoS\\u002fMG32eBjOhj\\u002fWkuwdVP2hP0iwFDu\\u002fh68\\u002fTU0xjjUPtz+ZX1PciMe+P3WM0FxHZ8M\\u002frwfuBsF\\u002fxz+RdfcUdJjLP8FV63xKm88\\u002f8SzzwUq40T\\u002f+YTPqYX7TP\\u002fjP0j4tDtU\\u002ftI55KelP1j+RyMLcCSXXP9DRyMM6atc\\u002fM+iUuur81j8HiqzV2sPVPxsgMXuauNM\\u002fThiHlNHu0D+5\\u002f5XzmSzLP0LQrss\\u002f7MM\\u002fj+Eq5raFuT99BHIehEWpP3bTHbM6dIE\\u002fS66ZcwAElb9j1+RkcBGjv\\u002fqDdgrUzKW\\u002fo\\u002fDXfCWoo7\\u002f6jzmuTnqbv4ojnYRUJoS\\u002f2Wz2eBjOhj\\u002fCkuwdVP2hP0SwFDu\\u002fh68\\u002fSk0xjjUPtz+MX1PciMe+P3KM0FxHZ8M\\u002fsAfuBsF\\u002fxz+JdfcUdJjLP79V63xKm88\\u002f8CzzwUq40T\\u002f8YTPqYX7TP\\u002fjP0j4tDtU\\u002ftI55KelP1j+RyMLcCSXXP9DRyMM6atc\\u002fMuiUuur81j8KiqzV2sPVPxwgMXuauNM\\u002f9vW6FJTK1D+nrdbAmR\\u002fSPwgwQ2B3uM0\\u002faozIQVOIxj82Cqwv2aW+P1xPZKwoeLE\\u002fZSSaL+VQmj9+V2JTZd91v6syF88XpZi\\u002fPVKx57r0n7\\u002flQhO2ZC2dv6FPeOTWepK\\u002fKJY+bFNMXr+cBFG3jgCTP96yIzvYkqU\\u002fgA7kivF4sT++ms+IALO4P\\u002f96ZkU5L8A\\u002fS5JFyL4uxD+ruoFd1EXIP83mheSxX8w\\u002f38flBRgz0D9nhXev7iDSP+yoWmQM7NM\\u002fMRlbgaqD1T\\u002fuWCyoctHWPz44IrVluNc\\u002fbvfahjEW2D+niogb88fXP9TzzzU6stY\\u002f9\\u002fW6FJTK1D+srdbAmR\\u002fSPwwwQ2B3uM0\\u002fbYzIQVOIxj9DCqwv2aW+P1tPZKwoeLE\\u002faSSaL+VQmj80V2JTZd91v8UyF88XpZi\\u002fMFKx57r0n7\\u002f9QhO2ZC2dv6lPeOTWepK\\u002f35U+bFNMXr90BFG3jgCTP8qyIzvYkqU\\u002ffg7kivF4sT+8ms+IALO4P\\u002fh6ZkU5L8A\\u002fSJJFyL4uxD+quoFd1EXIP8XmheSxX8w\\u002f3cflBRgz0D9phXev7iDSP+moWmQM7NM\\u002fMhlbgaqD1T\\u002fuWCyoctHWPz44IrVluNc\\u002fbvfahjEW2D+niogb88fXP9fzzzU6stY\\u002f+PW6FJTK1D9acl8yWbzVP4SGKiFAMNM\\u002fMAGSLo8E0D\\u002fvyYn8ZPLIP\\u002f6WwEa8vME\\u002fWfAAyKQZtj+Ct7F5\\u002f7elP2QkndRewIM\\u002fejZU85pfhr8ArBBh9EGUv0z0QSzZ9JK\\u002fswrp\\u002fjbJgr9LqUd+ioR5P2630kkTtZo\\u002fO2im3Ns4qT9ClDcfuzezP\\u002faaC9AfYbo\\u002fRdymRGf\\u002fwD+9U0SHnfnEP5RoR3kpDck\\u002fYPnq02AlzT\\u002fNHm+6GZbQP+7\\u002f5wc8hdI\\u002fs4S22CpT1D\\u002fF\\u002fo\\u002fc6e\\u002fVPypbJndeRtc\\u002fr0Dy1gM72D8ekcpXvazYP1CiPvHgeNg\\u002fTY919ZyC1z9bcl8yWbzVP4eGKiFAMNM\\u002fMQGSLo8E0D\\u002f0yYn8ZPLIPwWXwEa8vME\\u002fWPAAyKQZtj+Ft7F5\\u002f7elP54kndRewIM\\u002fwDZU85pfhr\\u002fyqxBh9EGUv1\\u002f0QSzZ9JK\\u002fwArp\\u002fjbJgr9eqUd+ioR5P0a30kkTtZo\\u002fK2im3Ns4qT9AlDcfuzezP\\u002fKaC9AfYbo\\u002fPtymRGf\\u002fwD+6U0SHnfnEP5JoR3kpDck\\u002fWfnq02AlzT\\u002fMHm+6GZbQP+7\\u002f5wc8hdI\\u002fsIS22CpT1D\\u002fE\\u002fo\\u002fc6e\\u002fVPyhbJndeRtc\\u002frUDy1gM72D8fkcpXvazYP0+iPvHgeNg\\u002fUI919ZyC1z9bcl8yWbzVP5+ovLXoitY\\u002f7Wf2Bxkd1D\\u002fUkKTCDwvRP7rZH01zIcs\\u002fnI7a0F\\u002f3wz\\u002f3oZKQz3a6Py2KBg+S760\\u002fE5AH+r7WmD92jctha9BgP71Eo9EoOIG\\u002fVBojEc54gb\\u002fDkYZC8eMyv\\u002f7Y8Sz0U40\\u002fzoiaHhc3oT\\u002fp7iiuLuOsPwctKibL+bQ\\u002f9AGqXPcSvD\\u002fidCDJ+tDBPxCSOtKNxMU\\u002frAVIGGHSyT8RvNCIC+bNPyPGFYHf9NA\\u002fM\\u002ffj51fj0j89+8182rHUPyyJXygPUdY\\u002fWd8uE+Ss1z+1+e2DLqvYP3DJa3kiLNk\\u002fBg7hHMIN2T9Z7tpNoDLYP5+ovLXoitY\\u002f8Wf2Bxkd1D\\u002fWkKTCDwvRP73ZH01zIcs\\u002foo7a0F\\u002f3wz\\u002f1oZKQz3a6Py6KBg+S760\\u002fMZAH+r7WmD+ajMtha9BgP6JEo9EoOIG\\u002fehojEc54gb87k4ZC8eMyvxDZ8Sz0U40\\u002fuYiaHhc3oT\\u002fZ7iiuLuOsPwUtKibL+bQ\\u002f7wGqXPcSvD\\u002fbdCDJ+tDBPw6SOtKNxMU\\u002frAVIGGHSyT8KvNCIC+bNPyLGFYHf9NA\\u002fMvfj51fj0j87+8182rHUPyuJXygPUdY\\u002fWN8uE+Ss1z+1+e2DLqvYP3DJa3kiLNk\\u002fBg7hHMIN2T9b7tpNoDLYP6GovLXoitY\\u002fV7vhPYkz1z\\u002faHbmyzOLUP8qLSwvP69E\\u002fjL6gh9IMzT+GsZXz7\\u002fnFP\\u002f5SSVekfr4\\u002f\\u002fXxLKWnYsj+7TaVvkJyjP7vhKy2eII4\\u002fAomAQ\\u002fjuZj\\u002fgq62K9jNWP62tu8ordYE\\u002fra69QBLglj\\u002fy8JTVJAqlP6if1IFaQrA\\u002fsvXPZvq3tj+0h0AL9cC9P6kqWWYNoMI\\u002fUYZaa5uLxj97gJRNfZHKP11vDz+lnc4\\u002fGM7XHVdN0T9kl9AuIjnTP3BMkCLyBdU\\u002f3QCadPWk1j9GLwiw8wLYP9ZSWTH0Btk\\u002f2B1VYoKS2T9G7pYQpoTZPwDSz2wKwNg\\u002fV7vhPYkz1z\\u002fcHbmyzOLUP8yLSwvP69E\\u002fj76gh9IMzT+NsZXz7\\u002fnFP\\u002fxSSVekfr4\\u002f\\u002fnxLKWnYsj\\u002fLTaVvkJyjP4XhKy2eII4\\u002faYmAQ\\u002fjuZj+zqq2K9jNWP6qtu8ordYE\\u002ftq69QBLglj\\u002fe8JTVJAqlP6Cf1IFaQrA\\u002fsPXPZvq3tj+yh0AL9cC9P6MqWWYNoMI\\u002fT4Zaa5uLxj98gJRNfZHKP1ZvDz+lnc4\\u002fFc7XHVdN0T9ll9AuIjnTP25MkCLyBdU\\u002f3wCadPWk1j9ELwiw8wLYP9ZSWTH0Btk\\u002f2R1VYoKS2T9F7pYQpoTZPwLSz2wKwNg\\u002fWbvhPYkz1z9pSRkX07PXPx98lphrftU\\u002fSxbsRUaj0j++lSZMdqzOP\\u002fuWWxvUu8c\\u002fNrASIwMQwT8vJWG3\\u002f222P4iroGAiaKo\\u002f01R9hQCGmz8yGPyaOBGMP\\u002f1g6w2XnIY\\u002f5+Cu20mWkT9w32bZ1uyePxFpgX2dx6g\\u002f+widn+8Hsj\\u002f89IQ8t2q4P2K9Tu3jYr8\\u002fnRrl7U9owz\\u002fbG1HvW0rHP0I7aoYHRss\\u002fQMmDMK5Hzz+Sgl0VOZ3RPz+ctTZIhNM\\u002fSGLsZBVN1T+sqJM7QenWP7KRhARFRtg\\u002fo9nv0DBM2T\\u002f2R+tc393ZP4mK3n2e29k\\u002f00iZJ80o2T9pSRkX07PXPyF8lphrftU\\u002fTRbsRUaj0j\\u002fBlSZMdqzOPwGXWxvUu8c\\u002fNbASIwMQwT8vJWG3\\u002f222P5iroGAiaKo\\u002fsVR9hQCGmz9MGPyaOBGMP9hg6w2XnIY\\u002f5+Cu20mWkT9832bZ1uyeP\\u002f1ogX2dx6g\\u002f8gidn+8Hsj\\u002f69IQ8t2q4P1+9Tu3jYr8\\u002flxrl7U9owz\\u002fYG1HvW0rHP0M7aoYHRss\\u002fOMmDMK5Hzz+Qgl0VOZ3RPz+ctTZIhNM\\u002fRmLsZBVN1T+rqJM7QenWP7CRhARFRtg\\u002fotnv0DBM2T\\u002f3R+tc393ZP4qK3n2e29k\\u002f1kiZJ80o2T9pSRkX07PXP\\u002fd0gc65Cdg\\u002fv8SWy4Dt1T+DNl2jci7TPydYwrY5+c8\\u002f+5X0CxE1yT8hER\\u002fLKqXCP+cBVodyqLk\\u002fC3pQjYNYsD8X+BYcAqWjP6HaTe6qvJg\\u002fq82oJIzllD8vemLb0C2aP72b8XBRXKM\\u002fk2W5NDpjrD8F\\u002f1hmfLuzP0ZsPPJECro\\u002fo0uX9h14wD80nLUuNiXEP898ASAb\\u002fMc\\u002fpl90YDvryz+zooqDXN\\u002fPP2onELEc4tE\\u002fmDMJRFnC0z9g1+T7yYTVP\\u002fUIY+B1G9c\\u002fH7At42p02D+DF8YKnXjZP4xAIx8mDNo\\u002f39tdlcQQ2j84aVrSCmvZP\\u002fd0gc65Cdg\\u002fwsSWy4Dt1T+ENl2jci7TPylYwrY5+c8\\u002fAZb0CxE1yT8gER\\u002fLKqXCP+gBVodyqLk\\u002fEXpQjYNYsD8K+BYcAqWjP67aTe6qvJg\\u002fnc2oJIzllD8temLb0C2aP8Cb8XBRXKM\\u002fg2W5NDpjrD\\u002f+\\u002flhmfLuzP0RsPPJECro\\u002foUuX9h14wD8unLUuNiXEP8x8ASAb\\u002fMc\\u002fp190YDvryz+sooqDXN\\u002fPP2gnELEc4tE\\u002fmDMJRFnC0z9e1+T7yYTVP\\u002fQIY+B1G9c\\u002fHbAt42p02D+DF8YKnXjZP4xAIx8mDNo\\u002f39tdlcQQ2j86aVrSCmvZP\\u002fd0gc65Cdg\\u002fnCffEJcz2D\\u002fVVxj+Ii7WP4uD+wPvitM\\u002feDNltZF20D+GZ+ckl17KP0Z8VaYG98M\\u002f56n9Rvh3vD8+MwIYvCyzPwLqVqn\\u002fE6k\\u002ffjCCtE5noT9ZPYwfIQaeP4lBvvVYMqE\\u002f4lVEGx8Vpz8ryoGyZ9CvP7NbffkiVrU\\u002fl5dkveeOuz+fDDaUMjDBP3avNAMg0sQ\\u002flbyjIgecyD8LOw39MnzMP9M4RJ7jL9A\\u002fLB8j\\u002fIwZ0j9aZ9D02\\u002fDTP4HKA5COqtU\\u002fueXE7A051z+tiiVx64rYPzDerOzjidk\\u002fbTNvvT4b2j96p5HrRCLaP5RbB3Mfhdk\\u002fnSffEJcz2D\\u002fXVxj+Ii7WP4yD+wPvitM\\u002fejNltZF20D+MZ+ckl17KP0V8VaYG98M\\u002f56n9Rvh3vD9FMwIYvCyzP\\u002fXpVqn\\u002fE6k\\u002fgTCCtE5noT9NPYwfIQaeP4pBvvVYMqE\\u002f41VEGx8Vpz8cyoGyZ9CvP6tbffkiVrU\\u002flZdkveeOuz+eDDaUMjDBP3CvNAMg0sQ\\u002fkryjIgecyD8OOw39MnzMP9A4RJ7jL9A\\u002fKx8j\\u002fIwZ0j9aZ9D02\\u002fDTP37KA5COqtU\\u002fuOXE7A051z+siiVx64rYPzDerOzjidk\\u002fbjNvvT4b2j96p5HrRCLaP5ZbB3Mfhdk\\u002fniffEJcz2D+iFtP4NzDYP+XnbokEP9Y\\u002f\\u002fia2dQq30z\\u002fwEro40cHQP6OC60qMMss\\u002fU50A3bD+xD8CoatUrc2+P3qAuDbzobU\\u002f4UFW08b0rT\\u002flCIQwxAemP4+tHzGmRKM\\u002f+i06tI0NpT9syj+zEpOqP5IRrRQBgbE\\u002fC7OgYvnQtj\\u002fYWtTK+vC8P49puup01cE\\u002fJ8MmdXxqxT+C6AhyWSXJP+PXRgcS9Mw\\u002fvEtPkghi0D++A2wPHkHSP1wrGTxkDdQ\\u002fAXs3oPK71T8VyKmRlT\\u002fXP+uOVYxch9g\\u002ftJeH9b592T9U9uV2JQnaP+56lB1zDto\\u002f8Ghztq912T+jFtP4NzDYP+fnbokEP9Y\\u002f\\u002fya2dQq30z\\u002fxEro40cHQP6mC60qMMss\\u002fUp0A3bD+xD8DoatUrc2+P4KAuDbzobU\\u002f1EFW08b0rT\\u002fqCIQwxAemP4mtHzGmRKM\\u002f\\u002fS06tI0NpT9xyj+zEpOqP4oRrRQBgbE\\u002fA7OgYvnQtj\\u002fWWtTK+vC8P41puup01cE\\u002fH8MmdXxqxT+A6AhyWSXJP+TXRgcS9Mw\\u002fuEtPkghi0D++A2wPHkHSP1wrGTxkDdQ\\u002f\\u002fXo3oPK71T8VyKmRlT\\u002fXP+uOVYxch9g\\u002ftJeH9b592T9V9uV2JQnaP+56lB1zDto\\u002f8Whztq912T+jFtP4NzDYPwMkLBPt\\u002ftc\\u002fFCnqYoIf1j8sr1Gz2rHTP2v5Gnfg3NA\\u002f75RVcI2syz9HmAqsa7bFP6trZBAWTsA\\u002f6FT9NgKqtz+PfxqD8RWxP4R3BQboJqo\\u002fxBlEvUQipz+Di1zZtpaoPxcFUhHnxq0\\u002fnY1rLf70sj+D5tMI8CS4P0oSda7yKL4\\u002f2BLXyspjwj+dGrJJ5enFP0wt5l96k8k\\u002fVcsDYi1OzT9VUrQLyYPQP6vjXi+CVtI\\u002f9FYxmqkV1D+VmmIfr7bVPx7MBtPGLNc\\u002fYiF5hYNn2D+E1oiNF1LZPzG+wKcK1Nk\\u002fNnUr+eTT2T8HFSTWvTvZPwMkLBPt\\u002ftc\\u002fFinqYoIf1j8tr1Gz2rHTP235Gnfg3NA\\u002f9JRVcI2syz9FmAqsa7bFP6trZBAWTsA\\u002f71T9NgKqtz+IfxqD8RWxP4x3BQboJqo\\u002fwRlEvUQipz+Ci1zZtpaoPxsFUhHnxq0\\u002fl41rLf70sj985tMI8CS4P0gSda7yKL4\\u002f1hLXyspjwj+XGrJJ5enFP0st5l96k8k\\u002fVcsDYi1OzT9SUrQLyYPQP6vjXi+CVtI\\u002f9FYxmqkV1D+TmmIfr7bVPx7MBtPGLNc\\u002fYCF5hYNn2D+E1oiNF1LZPzK+wKcK1Nk\\u002fNnUr+eTT2T8JFSTWvTvZPwMkLBPt\\u002ftc\\u002fu3NATZyf1z8inApWsc\\u002fVP0ATWLhJe9M\\u002fgjnp3yTH0D\\u002fWv5jH48nLP3rVC5vkGcY\\u002fYRWOoxDswD+lQPJD8Te5P7WapURDz7I\\u002fk3o0Ni+rrT\\u002foOzUACYWqP0qR4BkQuqs\\u002fgSqqp8hPsD+0dzB1hjy0Px1FNamxSrk\\u002ftWavyFIvvz91wXV9QtfCPw6tNuIyTMY\\u002fRoTWMR7iyT8NOx08LobNP7pGG8n+ktA\\u002fToP7TZ5X0j\\u002fz5gs3nQfUP1IieU2\\u002fmNU\\u002fKOyKfqb+1j\\u002fmLp7BdinYPyNYtAgsBdk\\u002fWLjN3Hd62T\\u002fBL3Nmk3HZP641GC\\u002fD1tg\\u002fu3NATZyf1z8lnApWsc\\u002fVP0ETWLhJe9M\\u002fgznp3yTH0D\\u002fcv5jH48nLP3nVC5vkGcY\\u002fYhWOoxDswD+rQPJD8Te5P6+apURDz7I\\u002fmXo0Ni+rrT\\u002fjOzUACYWqP0iR4BkQuqs\\u002fgiqqp8hPsD+tdzB1hjy0PxRFNamxSrk\\u002fs2avyFIvvz90wXV9QtfCPwetNuIyTMY\\u002fQoTWMR7iyT8NOx08LobNP7ZGG8n+ktA\\u002fTYP7TZ5X0j\\u002f05gs3nQfUP1EieU2\\u002fmNU\\u002fKOyKfqb+1j\\u002flLp7BdinYPyNYtAgsBdk\\u002fWbjN3Hd62T\\u002fBL3Nmk3HZP7A1GC\\u002fD1tg\\u002fvHNATZyf1z+5WxDq0hLXP5AhnDtoUNU\\u002fXjXqTh0U0z\\u002f+4tQm74DQP6vW6+Wpics\\u002fAl+IBWsmxj\\u002fbkL5FaTzBPzKx+ieHQLo\\u002fRTdjPsoZtD+VvvIZkj2wP8pZLr30VK0\\u002fLrbRqBZirj+\\u002fgJzhGoWxP\\u002fCU8VM\\u002fT7U\\u002fHb78dIk6uj9x8+0cn\\u002fy\\u002fPzq\\u002fD44VLMM\\u002fSTSpwYmNxj9Rzd76Ww3KP9OAfPYvmM0\\u002fmWcQz8KN0D\\u002fJfuRvnULSP0f2ak1\\u002f4dM\\u002fvVInAHlg1T9dpNufoLPWP\\u002f2l0Ta\\u002fy9c\\u002foIjxZLWV2D\\u002f1U2rEdvvYP6cLyN\\u002f95tg\\u002fgTvf4stG2D+6WxDq0hLXP5EhnDtoUNU\\u002fYDXqTh0U0z8A49Qm74DQP7HW6+Wpics\\u002fAV+IBWsmxj\\u002fbkL5FaTzBPzqx+ieHQLo\\u002fQDdjPsoZtD+YvvIZkj2wP8ZZLr30VK0\\u002fLLbRqBZirj\\u002fAgJzhGoWxP+mU8VM\\u002fT7U\\u002fFL78dIk6uj9v8+0cn\\u002fy\\u002fPzi\\u002fD44VLMM\\u002fQzSpwYmNxj9Ozd76Ww3KP9OAfPYvmM0\\u002flmcQz8KN0D\\u002fIfuRvnULSP0f2ak1\\u002f4dM\\u002fvFInAHlg1T9dpNufoLPWP\\u002ful0Ta\\u002fy9c\\u002foIjxZLWV2D\\u002f1U2rEdvvYP6ULyN\\u002f95tg\\u002fgjvf4stG2D+6WxDq0hLXP9fTPrXUWdY\\u002fICMHYUWj1D+2uA1e933SP03jdAd9C9A\\u002f29\\u002f\\u002fjt3syj9d21u3FdvFP8JlQKBHPME\\u002fDEh1AtK6uj\\u002f9\\u002flk9X+q0P3Wm3bs1P7E\\u002fZ6ujcrx5rz8Xs6UlCDywPyZQVrw0ebI\\u002fZQmGfR4ktj95QjfLW+y6P8jYV5WqRMA\\u002fIDn+b6pewz+Aacz9Y6rGPzukGiK\\u002fEco\\u002fQ1AjxtiAzT8NIWihfHLQP6kSfkkCFtI\\u002fwOvNAvOh0z\\u002ff1Q4lowzVPy66bKyiStY\\u002fhubPKHdN1z\\u002f\\u002fQEY8CgPYPw8lSsm1Vtg\\u002fRCRGKEw02D\\u002ffR+K+kIzXP9jTPrXUWdY\\u002fIiMHYUWj1D+2uA1e933SP07jdAd9C9A\\u002f4N\\u002f\\u002fjt3syj9b21u3FdvFP8NlQKBHPME\\u002fEkh1AtK6uj\\u002f4\\u002flk9X+q0P3im3bs1P7E\\u002fYqujcrx5rz8Xs6UlCDywPyhQVrw0ebI\\u002fXAmGfR4ktj90QjfLW+y6P8fYV5WqRMA\\u002fHjn+b6pewz96acz9Y6rGPzqkGiK\\u002fEco\\u002fQ1AjxtiAzT8JIWihfHLQP6cSfkkCFtI\\u002fv+vNAvOh0z\\u002fe1Q4lowzVPy+6bKyiStY\\u002fhubPKHdN1z\\u002f+QEY8CgPYPw8lSsm1Vtg\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9K3LP+Gr4kaz+80\\u002fbaR3eF\\u002f\\u002fzz+Lw\\u002fjkzNPQPzYXtPbqcdE\\u002fPYSHHK3R0T+9VEFRS+rRP5tXj6oVs9E\\u002f+obYjz0l0T9IKIOqnz7QP7qqWuIMCc4\\u002fxMPO2UPkyj9jl0g\\u002f+PXHP8fC9HTiusQ\\u002fhr07xntnwT9zHlzSeWS8P5ICGc1zmbY\\u002f+m7TmQa+sT8GclslthasP3+c07e\\u002fRqc\\u002fM\\u002fT7HmwkpT8iN2yvyKClP0QaKvXei6g\\u002fQPcexPWcrT+54pIE8T2yP\\u002fiGtifMZLY\\u002fud2TP0MTuz\\u002fGp6yUiA3AP6nCk1H4p8I\\u002f8ibglphDxT8k1aMwgsvHP4MTVGYbK8o\\u002fxshxR2FOzD9U7wXKgyLOP\\u002f9xOAJols8\\u002fY7C++01N0D9IaKVCW5DQP0rXu4xojdA\\u002fxcssrh0+0D90ixrDOzzPP5DeeUmXWs0\\u002fxcPO2UPkyj9nl0g\\u002f+PXHP8jC9HTiusQ\\u002fh707xntnwT96HlzSeWS8P5ECGc1zmbY\\u002f+27TmQa+sT8KclslthasP3mc07e\\u002fRqc\\u002fNfT7HmwkpT8cN2yvyKClP0AaKvXei6g\\u002fQPcexPWcrT+04pIE8T2yP\\u002fGGtifMZLY\\u002ft92TP0MTuz\\u002fEp6yUiA3AP6XCk1H4p8I\\u002f8CbglphDxT8i1aMwgsvHP38TVGYbK8o\\u002fxchxR2FOzD9T7wXKgyLOP\\u002f1xOAJols8\\u002fY7C++01N0D9IaKVCW5DQP0rXu4xojdA\\u002fxcssrh0+0D91ixrDOzzPP5TeeUmXWs0\\u002fxsPO2UPkyj+hnXj+4KTHP8Rus5nDxsQ\\u002fFE91pRSswT+ZiKvYOg29PzJg5egmE7c\\u002fmlHrJd3FsT+P5PfNYNuqP3\\u002f503VGd6Q\\u002fGkGGV6SToD\\u002f7xV5ae3eeP2npsHELWKA\\u002fQml99h61oz\\u002fxCANkPgupP6ZeoPwXA7A\\u002fFw4maBMmtD\\u002ff6WFgcMG4P1a3DNs9qb0\\u002frCzm74JZwT+TBMyEo9rDP8O4nElcQ8Y\\u002fAgB+Hwx\\u002fyD+MvLg5f3nKPzWCFfLFH8w\\u002fmzZ+EAxhzT9D+2Rr9S7OP+e8Gsxffc4\\u002fEby1FgJCzj8FK3guznTNP+v3gK\\u002fbEcw\\u002fhcmUNNkcyj+inXj+4KTHP8hus5nDxsQ\\u002fFU91pRSswT+diKvYOg29Pzhg5egmE7c\\u002fmVHrJd3FsT+R5PfNYNuqP4P503VGd6Q\\u002fFkGGV6SToD8Axl5ae3eeP2XpsHELWKA\\u002fPml99h61oz\\u002fyCANkPgupP6JeoPwXA7A\\u002fEA4maBMmtD\\u002fd6WFgcMG4P1K3DNs9qb0\\u002fqCzm74JZwT+SBMyEo9rDP8O4nElcQ8Y\\u002f\\u002fv99Hwx\\u002fyD+LvLg5f3nKPzWCFfLFH8w\\u002fmTZ+EAxhzT9D+2Rr9S7OP+e8Gsxffc4\\u002fE7y1FgJCzj8FK3guznTNP+z3gK\\u002fbEcw\\u002ficmUNNkcyj+jnXj+4KTHP7W1GH8fU8Q\\u002fxjp7vIyEwT8bOVsI5hC9Px4AZNJ1G7c\\u002fs\\u002fAb17GIsT8TewPp5lupPzXfyhXumaE\\u002fQJsmY11AmD8RIJWr2CuSP7xv55FE9pA\\u002f8mAFeHpglD+domJqwPubPwlJab8\\u002fnKM\\u002fO0Agqsi5qj9aAMTfVYCxP+jWrIJyDbY\\u002fzY4QozXauj9\\u002f+BQXuL2\\u002fP\\u002fjmIibIR8I\\u002fS+\\u002f8voOTxD+amNQ4d63GP3w0lGRQgcg\\u002f66qFWAz8yT8a+891Hw3LPyyBvFk5p8s\\u002fBVfs+mjAyz+HoS5J41HLP5bGU88XWMo\\u002fJIEEs8rTyD8rV4WQcMzGP7e1GH8fU8Q\\u002fyjp7vIyEwT8fOVsI5hC9PyAAZNJ1G7c\\u002fufAb17GIsT8SewPp5lupPzbfyhXumaE\\u002fSJsmY11AmD8JIJWr2CuSP8Bv55FE9pA\\u002f5WAFeHpglD+RomJqwPubPwlJab8\\u002fnKM\\u002fMkAgqsi5qj9TAMTfVYCxP+fWrIJyDbY\\u002fyY4QozXauj93+BQXuL2\\u002fP\\u002fbmIibIR8I\\u002fSO\\u002f8voOTxD+XmNQ4d63GP3s0lGRQgcg\\u002f6qqFWAz8yT8Y+891Hw3LPy2BvFk5p8s\\u002fBVfs+mjAyz+JoS5J41HLP5bGU88XWMo\\u002fJIEEs8rTyD8uV4WQcMzGP7e1GH8fU8Q\\u002fkOfwwvX1wD\\u002fABuN4DWy8P8+mei4grbY\\u002fzBbp6vMGsT\\u002fE7FH4xqWnP8slPl9bgJ0\\u002fMJ4RhOVUjz8XBZ\\u002fAf3Z5P8nflKI\\u002fOF0\\u002fGjnAoUGUXz\\u002fksR9FqQV6P09aCXyI6o0\\u002fp\\u002f91CKrDmj82hlmfWqakP+bsK6pN9aw\\u002fC\\u002fwnI\\u002fX9sj8NTr+OlLS3P+NKJ\\u002fzcdrw\\u002flN58lKiOwD9K7nbT47\\u002fCP64f0sGeusQ\\u002fOSO+7Hpqxj\\u002fMeHlGb7zHP2Ipb1g5oMg\\u002fFqZqx4QJyT++bwawcPDIPztp8\\u002fh\\u002fUcg\\u002fUqUvbWgtxz\\u002fNRIGgaInFPwHuY5aYcMM\\u002fkefwwvX1wD\\u002fIBuN4DWy8P9Kmei4grbY\\u002fzhbp6vMGsT\\u002fO7FH4xqWnP9AlPl9bgJ0\\u002fNJ4RhOVUjz8wBZ\\u002fAf3Z5P27flKI\\u002fOF0\\u002fQDnAoUGUXz++sR9FqQV6PzZaCXyI6o0\\u002fpv91CKrDmj8thlmfWqakP9jsK6pN9aw\\u002fCfwnI\\u002fX9sj8KTr+OlLS3P9pKJ\\u002fzcdrw\\u002fkt58lKiOwD9I7nbT47\\u002fCP6sf0sGeusQ\\u002fOCO+7Hpqxj\\u002fLeHlGb7zHP2Epb1g5oMg\\u002fFqZqx4QJyT++bwawcPDIPz1p8\\u002fh\\u002fUcg\\u002fVKUvbWgtxz\\u002fORIGgaInFPwXuY5aYcMM\\u002fkefwwvX1wD+PV+nxpCW7P1oFAJ67wLU\\u002fd\\u002faiFQU3sD+KW\\u002flVcbSlP9YviBxK9Jc\\u002fNyiyPbOLfj+Yx2n+KL1yv7llSYu4AIm\\u002f37iX23VOj79NOWGVyIuMv5E2r43Ya4G\\u002fVJGvkDZQQT9lX2UXs8+JPzeoEUjsw5s\\u002fIRoI44I+pj+VfxTCNTmvP44ZVOagQbQ\\u002fbtGOM5fnuD8aHuaktWe9Pz4Ytf4mzcA\\u002fGWHK4kyrwj+gaoGU8jnEP51lsksWZsU\\u002fnRCcS74fxj\\u002f0fz3WfVvGP\\u002fpJlNhZE8Y\\u002fNeYxC+ZGxT+bCHiU2frDP2qQpVCzOMI\\u002fRREX5w8PwD+RV+nxpCW7P2IFAJ67wLU\\u002fefaiFQU3sD+PW\\u002flVcbSlP+oviBxK9Jc\\u002fPSiyPbOLfj+Tx2n+KL1yv7dlSYu4AIm\\u002f6biX23VOj79IOWGVyIuMv6Y2r43Ya4G\\u002ffo+vkDZQQT9gX2UXs8+JPyeoEUjsw5s\\u002fExoI44I+pj+TfxTCNTmvP4sZVOagQbQ\\u002faNGOM5fnuD8aHuaktWe9Pz4Ytf4mzcA\\u002fFmHK4kyrwj+faoGU8jnEP5tlsksWZsU\\u002fnRCcS74fxj\\u002f0fz3WfVvGP\\u002fpJlNhZE8Y\\u002fN+YxC+ZGxT+bCHiU2frDP2uQpVCzOMI\\u002fSREX5w8PwD+SV+nxpCW7P\\u002fv\\u002fPgcAW7Q\\u002fkqImRo0crj86a3S9XmujPzzAVbKec5I\\u002f9fja37EAMD8rqawIlG6NvxEu0J5sqZm\\u002fKuWn\\u002fNERoL\\u002f9GZ2MBwWhv2ZuMUuCip+\\u002f92F9NWEImb\\u002f5vKqS2RCOvxynFK16B2G\\u002fSwCmFhghij+i8iSREu2dP\\u002fAJWJWt66c\\u002fvL0LhzuNsD8U5U3yVBu1P++0HGXVebk\\u002f66Im3m6BvT+J+Q+7z4TAP26GBGvt9ME\\u002fcIqgCiT+wj9AY8G8wpDDP6PgFNUtosM\\u002fglKwtR8uwz\\u002feh5ER9zbCP\\u002f7QUZQfxcA\\u002f8tGhCjfMvT\\u002fU5ixu51e5P\\u002f3\\u002fPgcAW7Q\\u002fnaImRo0crj8\\u002fa3S9XmujP0TAVbKec5I\\u002ftf3a37EAMD8oqawIlG6NvxEu0J5sqZm\\u002fKuWn\\u002fNERoL\\u002f+GZ2MBwWhv2VuMUuCip+\\u002fAWJ9NWEI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cPsGa7T\\u002fM4sulaZztP4UI3nUOnu0\\u002fXx\\u002fMAqqf7T9T8zSdNqHtP2+xY62uou0\\u002fSsoczwyk7T\\u002fbNRXtS6XtP3vzd1tnpu0\\u002fWYbg8Fqn7T+TvTcdI6jtP74s6v28qO0\\u002ftx\\u002f9biap7T\\u002f\\u002fPpcYXqntP0gqpXhjqe0\\u002ffZNX6Dap7T\\u002fQYU+d2ajtP02PZKZNqO0\\u002fmzsN5JWn7T9jP4P8tabtP4nP3kuype0\\u002fkeJz0I+k7T8EgtUTVKPtPxV89RAFou0\\u002f\\u002fY\\u002fnF6mg7T9N0NyvRp\\u002ftP2w89nfkne0\\u002fyEGUB4mc7T8NxcvOOpvtP69zqPf\\u002fme0\\u002fnXTfSN6Y7T9LN40K25ftP3pSje36lu0\\u002fkGPs9UGW7T+mDOJos5XtP3HzrL5Rle0\\u002f43yUmB6V7T\\u002fMcjy7GpXtP15cXg1Gle0\\u002fNKjjmp+V7T\\u002fwaUOcJZbtP4Px7oHVlu0\\u002fnXCCA6yX7T9DuloypZjtPwRjH4+8me0\\u002f2YTBIe2a7T95gWOTMZztPymLlUmEne0\\u002f365Ngt+e7T\\u002fNogBwPaDtP+W6QlWYoe0\\u002fQwJen+qi7T8cZFP\\u002fLqTtP+3KyIBgpe0\\u002fddN0nnqm7T9EvalTeaftP1c2tCpZqO0\\u002fFPnWRxep7T8IdcFwsantP0hXdRAmqu0\\u002fJzmkN3Sq7T+de6OZm6rtP9bkJ4acqu0\\u002fHXsM4Heq7T\\u002fa7HcRL6rtP6w6wf3Dqe0\\u002fegR\\u002f8Tip7T8FlTSRkKjtP8lrFMfNp+0\\u002fKoNRsPOm7T9F73aKBabtP5XIOKEGpe0\\u002fitIpPfqj7T8qM7eT46LtP40qv7jFoe0\\u002fe2kJkqOg7T9g19fMf5\\u002ftP4m6tdVcnu0\\u002fHsaZ0jyd7T\\u002fWCl6fIZztPwKif8wMm+0\\u002fdqEHoP+Z7T+B528Y+5jtP9f9SPH\\u002fl+0\\u002f9gxbqQ6X7T+c5fKJJ5btP6C\\u002fBa9Kle0\\u002fBZrSD3iU7T\\u002fMOqeHr5PtP86lcN7wku0\\u002fzWzD0DuS7T9mTg8XkJHtPykAu2vtkO0\\u002f4Gnwj1OQ7T8jsu5Owo\\u002ftP8TexX85j+0\\u002f\\u002fgdvBbmO7T\\u002fFwkPNQI7tP8X45svQje0\\u002fWXDA+GiN7T\\u002fTVTpICY3tPx28\\u002fKSxjO0\\u002fk+Jt6GGM7T\\u002fvwMbSGYztPzOeEQPZi+0\\u002fmRds756L7T+m0ebdaovtP1IHW947i+0\\u002fp0yJxRCL7T82O80p6IrtP12Lp2HAiu0\\u002fxpRThJeK7T+Joo5sa4rtPz5Wp705iu0\\u002fGu3Z6v+J7T+CE+xAu4ntP\\u002fKP6PFoie0\\u002fk+3IIgaJ7T\\u002fI+cn6j4jtP37dF7QDiO0\\u002f61ZwrV6H7T+yi018nobtPzx8Iv\\u002fAhe0\\u002flaArb8SE7T\\u002fo7FJxp4PtP1SQpiVpgu0\\u002fvFHlNAmB7T8mearbh3\\u002ftP6qkzfLlfe0\\u002fTpKY9CR87T+phYX+RnrtP5MrTM9OeO0\\u002fxEkYwT927T\\u002fsp9y\\u002fHXTtPzrpzDvtce0\\u002fE+shGLNv7T\\u002fiEmWWdG3tPwgilz43a+0\\u002fmQ2exABp7T9GW3rr1mbtP3UU12a\\u002fZO0\\u002fEPeWu79i7T\\u002f5rw0g3WDtPzU+nFwcX+0\\u002fns5rrYFd7T9xOwKmEFztP13EZhfMWu0\\u002fkYuE+bVZ7T+jA2tYz1jtPwT5+kUYWO0\\u002fl4550I9X7T9Dymn+M1ftP6ys8c8BV+0\\u002f69fxRfVW7T+oJtduCVftP4\\u002fyDHk4V+0\\u002frOrVyntX7T8++TAfzFftP8eaUKchWO0\\u002f9OkNMHRY7T9aOKZKu1jtP2H++nfuWO0\\u002fm9B4VQVZ7T80Y7vK91jtPzze+ja+WO0\\u002f9C9KnVFY7T9k1q7Oq1ftPyvdIJHHVu0\\u002fs3qNwqBV7T9ZqAd3NFTtP1T3ZxGBUu0\\u002fFVy3VYZQ7T\\u002fhLN90RU7tP6CHOhHBS+0\\u002fOAfKO\\u002f1I7T9SZPFp\\u002f0XtP1h6zmPOQu0\\u002ftlhhK3I\\u002f7T80quTc8zvtP4Py24hdOO0\\u002fjxSBCLo07T+QdVvNFDHtP+0h6Kx5Le0\\u002fkO5SqfQp7T8NGFS4kSbtPz\\u002fgU4lcI+0\\u002fjsb9S2Ag7T+L9m54px3tPyVPJ5o7G+0\\u002fIP7ZHiUZ7T\\u002fOQCoqaxftP2u5Sm8TFu0\\u002fWFxaESIV7T9ByzmLmRTtP7Grb596FO0\\u002fTt2KUMQU7T9zO0ficxXtP96ojeOEFu0\\u002fHW47QfEX7T+EXnBhsRntP5mx90a8G+0\\u002fTe41vAce7T9xiN+EiCDtP1yzmJUyI+0\\u002fuimAUPkl7T9H5IzFzyjtPxB3kvWoK+0\\u002fKXixFngu7T+LM\\u002fHYMDHtP60wvqnHM+0\\u002ftbAN9TE27T+wNfFiZjjtP18UdhBdOu0\\u002f4qvDwg887T+hpIYTej3tP0v015WZPu0\\u002fXKXy8m0\\u002f7T9uxzL++D\\u002ftPxOlAcA+QO0\\u002fDYp+d0VA7T+2J9+SFUDtP6cYrp65P+0\\u002fkEw4LD4\\u002f7T93aKKvsT7tP+GhRFYkPu0\\u002fhpEN1qc97T\\u002fwTso2Tz3tP+1MS5YuPe0\\u002f+Htx6Fo97T\\u002fK2D206T3tP5KRBs\\u002fwPu0\\u002fNz74FoZA7T8+Vgcuv0LtPwtAbjaxRe0\\u002f1lHHkXBJ7T+4RsCjEE7tP\\u002fl2TpmjU+0\\u002fqSYxNTpa7T89EnKi42HtP1y2dE2tau0\\u002f9FwDxKJ07T+\\u002fdqaczX\\u002ftP3j0b2U1jO0\\u002f8uRBmt+Z7T+PRnaiz6jtP0NhrtUGue0\\u002fP7dyh4TK7T8ALzIZRt3tP7PyFxJH8e0\\u002f3gEcPIEG7j8E1KLF7BzuP4ne9GaANO4\\u002fqV\\u002fPijFN7j8AeEx59GbuP1E5YYS8ge4\\u002fp640NXyd7j+Mtpp5JbruP4p0CNGp1+4\\u002fl75lePr17j9wvy6UCBXvP5WZaljFNO8\\u002f15wOLiJV7z9LGnnVEHbvP42JwoWDl+8\\u002faAu3CG257z9h6lzTwNvvP1cg\\u002fhpz\\u002fu8\\u002fOmJdc7wQ8D9AJdwOZCLwP6y3BskrNPA\\u002fOjNKhA9G8D9BIeqeC1jwP4PRG\\u002fQcavA\\u002fzb3k20B88D+ztdgpdY7wP0fj0yq4oPA\\u002fiTLLoQiz8D+1ZMvDZcXwPxdKPDPP1\\u002fA\\u002fY2l6+kTq8D\\u002f79NWFx\\u002fzwPy5\\u002fAp1XD\\u002fE\\u002f2Zb\\u002fW\\u002fYh8T80fn8rpTTxP1OtzrhlR\\u002fE\\u002fk+s87Tla8T9KlwflI23xPxlKxOUlgPE\\u002fVHJLVEKT8T93wCOqe6bxP4ZicWrUufE\\u002fje5uFk\\u002fN8T9ne3kh7uDxP0ahveSz9PE\\u002fUdGXkqII8j9lfL8pvBzyP6izWWgCMfI\\u002fnBcVv3ZF8j8h33VEGlryP9lKfajtbvI\\u002fSczbKPGD8j9XVOCFJJnyP8Z5WfiGrvI\\u002fjE+eKBfE8j\\u002fDt\\u002fQm09nyP6yriWW47\\u002fI\\u002fdEMttMMF8z+uPgA+8RvzPw5pO4k8MvM\\u002flIYyeaBI8z9riqxSF1\\u002fzPzDfocKadfM\\u002flptn5yOM8z861UNcq6LzPxETXEcpufM\\u002f+GPjaZXP8z\\u002fcFmIy5+XzP1zA5dAV\\u002fPM\\u002frWPdTBgS9D9oeluc5Sf0P9V6brx0PfQ\\u002fUJg4yrxS9D93BmkctWf0PycztFxVfPQ\\u002f7l3loJWQ9D\\u002fFySKDbqT0PweU\\u002fjjZt\\u002fQ\\u002fywnxqM\\u002fK9D+WH959TN30P3hpTjhL7\\u002fQ\\u002ffn8MPcgA9T\\u002fw+eHgwBH1P\\u002fTvOnEzIvU\\u002fcuyDOR8y9T9LXySFhEH1PwNkBp5kUPU\\u002fdwGsx8Fe9T+odeE2n2z1P0ZmKwYBevU\\u002fjZceJ+yG9T9dytxQZpP1P1xK\\u002f+t1n\\u002fU\\u002f2kJD\\u002fCGr9T9K5FUIcrb1P2OIJgBuwfU\\u002fcSsrIh7M9T9Kngfgitb1P5avCcO84PU\\u002fYCzsULzq9T+rAlDxkfT1P\\u002f8UVtRF\\u002fvU\\u002fOIe92t8H9j84o+F\\u002fZxH2P+0Y6MXjGvY\\u0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84R0j+QvpseBvbRPyk4SndY2tE\\u002frGRyqsS+0T8gthX9SaPRP9wqsa\\u002fnh9E\\u002frLsCHJ1s0T8coiHQaVHRPxeaYaZNNtE\\u002fHDON2Ugb0T9VjxkVXADRPyYKDoGI5dA\\u002fAaBzyc\\u002fK0D+C\\u002fTkhNLDQP5I\\u002fmkC4ldA\\u002fcw8ZX1970D9yU2IpLWHQPzybT7MlR9A\\u002fVz5\\u002fZk0t0D+UYfTtqBPQP8rGjj569M8\\u002f3XD0wx3Czz8kmhkrRpDPPyrT5O38Xs8\\u002fmZcUDEsuzz+JY3bXOP7OP+cQl8LNzs4\\u002fLxANMxCgzj92BGRYBXLOPyywkgixRM4\\u002f3cDAohUYzj\\u002f1xfr4M+zNPxFxSEELwc0\\u002fgiltDpmWzT\\u002fMCm5Q2WzNP3qmy1zGQ80\\u002f0Fgy\\u002flgbzT8bqzqLiPPMP1MIrQNLzMw\\u002fzcOZM5WlzD+P13jbWn\\u002fMP5xpbNyOWcw\\u002fH4uuZyM0zD95FSYwCg\\u002fMP3UyGJ006ss\\u002fWQTs\\u002fJPFyz9h6Pu2GaHLPwese3u3fMs\\u002fTVyMcF9Yyz+rkKxbBDTLP8iTzsaZD8s\\u002f1Nx7IBTryj8fH47WaMbKP1TyKGuOoco\\u002fdd3Cg3x8yj\\u002fnezDyK1fKP+Stx7eWMco\\u002fVm\\u002fSArgLyj+TSagmjOXJP2Wj4Y4Qv8k\\u002futwwrkOYyT9qooHpJHHJP0LXDoC0Sck\\u002faoYqcfMhyT92bnlg4\\u002fnIP+XIZHmG0cg\\u002fkh2BUt+oyD\\u002f8aqDR8H\\u002fIP7ALORG+Vsg\\u002fd\\u002fW5R0otyD+6wVCxmAPIPwj5jnys2cc\\u002ftAlDuoivxz8c1r5QMIXHP\\u002fScqvKlWsc\\u002faOBnGewvxz+wle0CBQXHP0397bLy2cY\\u002fyqz\\u002f9rauxj8PH29tU4PGP\\u002fwKTY7JV8Y\\u002fUi5Athosxj+zeJcySADGP2y+E05T1MU\\u002fwGreXT2oxT9vAyXOB3zFP3OS1y20T8U\\u002fdvcROUQjxT++Y8XhufbEPwtuR1YXysQ\\u002fzsB+BV+dxD\\u002fL2Xmgk3DEP94KUhm4Q8Q\\u002fe01Tn88WxD+B33eY3enDPypsXJjlvMM\\u002f8xjmVOuPwz9yn+aY8mLDPw8kGzX\\u002fNcM\\u002f3Ubw7xQJwz9HoIB0N9zCP1kuSkFqr8I\\u002fY\\u002fkal7CCwj8lUbVoDVbCP+11qEuDKcI\\u002fTGrTahT9wT8BOv16wtDBP+aF4LGOpME\\u002fwvn3v3l4wT8I6EbNg0zBP4chRXmsIME\\u002fM8f\\u002f3fL0wD8C3WqWVcnAP3RnycfSncA\\u002fLG78LWhywD\\u002fo8nQqE0fAP\\u002fdNctXQG8A\\u002f+eFLIjzhvz8ifo8874q\\u002fP9mpNmO0NL8\\u002fbB++E4Xevj9TJTMLW4i+P2UwdHAwMr4\\u002fEBEG\\u002fP\\u002fbvT+wE3ocxYW9P0e7dRZ8L70\\u002fIj6HHyLZvD9+ChJztYK8Pz+Aw2A1LLw\\u002fB88oVKLVuz8yfCrV\\u002fX67P2deX4FKKLs\\u002fzrZW\\u002fovRuj8wTSblxnq6P+vytKcAJLo\\u002fAXFicD\\u002fNuT\\u002f+oNL8iXa5P4hawXTnH7k\\u002fJCTfPV\\u002fJuD9FjsrN+HK4P0lIR3u7HLg\\u002fMALaT67Gtz9X4+7a13C3P1POpwc+G7c\\u002fwwpg9uXFtj8joNza03C2P6VCBOAKHLY\\u002f0tzXEY3HtT+uWD5OW3O1P1tEDD11H7U\\u002frVCDT9nLtD8BklfHhHi0P\\u002ff6GcVzJbQ\\u002fKuW5XaHSsz95wKO2B4CzP3hB2iegLbM\\u002f95xCY2Pbsj+ebjygSYmyP6qUg8pKN7I\\u002fYDJGs17lsT+Wo0tDfZOxPy7CAq2eQbE\\u002fTJFOnbvvsD+dIvBpzZ2wP68gezzOS7A\\u002f0tmucXLzrz9yUNo8FU+vPyQtccZ\\u002fqq4\\u002f35FPkK8Frj\\u002fm2pfMpGCtPyckJWliu6w\\u002f7wnOC+4VrD\\u002fsbZD\\u002fT3CrPw8ZFhOTyqo\\u002f3aZVacQkqj8rRmE9836pPxi4u5ow2ag\\u002fy\\u002fHJC48zqD8ugitAIo6nP5A97Kz+6KY\\u002fp+edKDlEpj\\u002fxJniF5p+lPyfFnysb\\u002fKQ\\u002fE1CstepYpD9aBG2RZ7ajP9hNzKaiFKM\\u002fqSGFBqtzoj+UTSiijdOhPyYIsw5VNKE\\u002fqka1UgmWoD+Avn6BX\\u002fGfPz9QCr2VuJ4\\u002fM\\u002fO1sbSBnT9\\u002fGdEItkycPxLqUNWNGZs\\u002fTBIVxSromT8r\\u002fapndriYP\\u002foVY4hVipc\\u002fsU84mahdlj+yx8krTDKVPzYeenUZCJQ\\u002fdZOw2+bekj8hAzWFiLaRP5flsO3QjpA\\u002fHMsG8SLPjj++XJcANoGMP1d\\u002focF8M4o\\u002fRcd98pnlhz8B+hpKMpeFP9mnglTtR4M\\u002fD1VJOHb3gD8E+8\\u002fH+Ep9P5V\\u002fhUVoo3g\\u002fA3e2NK73cz\\u002fap1zDko5uP8LnX3qJI2U\\u002fDPrUaN9aVz\\u002fJoX+2dFwxP43CQNDYik2\\u002fpUSoIOD9YL\\u002fPXvqDVaZqv6WyD7QwLnK\\u002fIZDGtBkQd7+smEbK7\\u002fh7vzynDI9XdIC\\u002f52yR8aLvgr+PX4AaSm6Fv7gYgfg18Ie\\u002fEb8ZRUh1ir83C5xtW\\u002f2Mv37i7nxCiI+\\u002fNf1YhOQKkb8INlaS2VKSvwJg6K\\u002fem5O\\u002fW3YuZ87llL9Is1uSfzCWv5TUUHPFe5e\\u002fPpgV12\\u002fHmL+jxr5GSxOav4cfEkchX5u\\u002f8qrtp7iqnL+f+Rzk1fWdvybt3pE7QJ+\\u002fiSv2cdVEoL\\u002f4DSsd8uigv6L9CeFTjKG\\u002fppPPENsuor+TpDyYaNCivzyMhlvecKO\\u002fEoj2mR8QpL8KP41REa6kvwo526GaSqW\\u002fpOIkLKXlpb\\u002f799luHX+mv1fAZRrzFqe\\u002f+wBoXRmtp784Nn4mh0GovxZs6Vk31Ki\\u002fV4CO+Shlqb+A6gs+X\\u002fSpvy0x6J\\u002fhgaq\\u002fiYEt0LsNq7+Aoh+g\\u002fZerv3u6F9i6IKy\\u002fBc\\u002fy\\u002fQqorL+NJeILCS6tv9U8zRjTsq2\\u002fxGfR84k2rr\\u002f1pMC0ULmuv+6yzUNMO6+\\u002fQlbU2qK8r78hH3DBvR6wvwCWXMj+XrC\\u002fd0WnESifsL+gOm\\u002fTTN+wv5XI0a9\\u002fH7G\\u002fBQlZf9Jfsb9IYrshVqCxv\\u002fMMAlYa4bG\\u002fufIAmy0isr+tRtcYnWOyv5L09pN0pbK\\u002fd6\\u002fyab7nsr9KZRCYgyqzvzi2WcvLbbO\\u002fp2KfeZ2xs7\\u002f9JKEC\\u002fvWzv+jTStjxOrS\\u002fPau7rHyAtL9+25akoca0v2yI7otjDbW\\u002f2p\\u002f1C8VUtb\\u002f\\u002fl4rfyJy1v\\u002fJCngRy5bW\\u002fsjN36MMutr\\u002fkPdyMwni2v8qUR6Ryw7a\\u002fROZno9kOt78gJWXG\\u002fVq3vyHRmgjmp7e\\u002fkXnADZr1t790qMn7IUS4v8DbHkWGk7i\\u002fhuEvY8\\u002fjuL8l6cKBBTW5v7m9yBswh7m\\u002flrPjilXaub+oiDGLei66v86CRrWhg7q\\u002fojCf8MrZur\\u002frJhzh8jC7vxfhXVISibu\\u002fRKoMpB3iu79Rkj86BDy8vzSMTPWvlry\\u002fDutRtATyvL9t0L3l3029v5h2+igYqr2\\u002fl542BH0Gvr\\u002ffPgCx1mK+vyq3FQLmvr6\\u002fUHdwZGQav79Ryhz9A3W\\u002fv5w49+Rvzr+\\u002f5nRxQSYTwL8oBUACHD7Av6wWbHrlZ8C\\u002fld3xd0yQwL\\u002fb1Zy4GLfAvxqF1l0Q3MC\\u002fN3yKa\\u002fj+wL+5gH9QlR\\u002fBv7maTXarPcG\\u002fxiXo1v9Ywb\\u002fZD4uVWHHBv5UjvJh9hsG\\u002fZ1v9IjmYwb\\u002fcZMRnWKbBvyoPThqssMG\\u002fFYfy8wi3wb+I67gvSLnBvyelDflHt8G\\u002fw3euy+uwwb\\u002fNvxjDHKbBvyjECNjJlsG\\u002fw07jCuiCwb\\u002fcjDN6cmrBv7QUvWRqTcG\\u002fXkX7Ftcrwb8vXELExQXBv87cEUxJ28C\\u002fC4OB7HmswL++NgjjdHnAv\\u002fWsLf1bQsC\\u002f5PcBG1UHwL\\u002fifPFKE5G\\u002fv2C9\\u002ffVLDL+\\u002fzV6fqbGAvr8X62NPpe69v3dwtgWKVr2\\u002fL7yD38O4vL9KWUarthW8v+ad48bEbbu\\u002fqHWIBU7Bur+4IWGsrhC6v31fnIo+XLm\\u002fuiGqMFCkuL+nlRJKMOm3vxFInhwlK7e\\u002fJNHWLm5qtr+S1ysXRKe1v7PXRXTY4bS\\u002fBqRKDlYatL\\u002fNlBIg4VCzv9ahjMaXhbK\\u002fW6LWk5K4sb8rPeFC5emwv7DY14efGbC\\u002fpC3u8ZuPrr+VmAUW9uisv8s6UjhgP6u\\u002fEeuqD+2Sqb\\u002fUY4l7seOnvzhFKq3GMaa\\u002f3I8iQEx9pL+89SY3asaiv7m3NNJSDaG\\u002fF8LjZ4iknr\\u002f1SOGZEyubv8+9Bgn7rpe\\u002fB9bvLxExlL\\u002fgzbdUSLKQv9uQSgFmZ4q\\u002fVCgIlAdtg799iTm1MfB4v0IXa6\\u002fhLWa\\u002fa1Dbv0hcRT+EMhVBsFBwP9GAsWil0X0\\u002fUoXyKKOThT8Nd90RICWMP\\u002fig2OPITJE\\u002f2Awgmp52lD8P5p6WN46XPyUT\\u002fxfEkZo\\u002fhidoJ4R\\u002fnT+uD83H5iqgPxyH692IiaE\\u002ftosUs\\u002fHaoj\\u002fEVZL+fR6kP7vlHlWgU6U\\u002fGdqOceN5pj9sQQs57JCnP5Ry6nF7mKg\\u002f+NtdJW+QqT\\u002f3dHClw3iqP0aFMTKUUas\\u002fOBdcOhsbrD98jU41stWsP68+sRXRga0\\u002fOmy4VQ0grj\\u002f5FXefGLGuP00NNxW\\u002fNa8\\u002fZkk5P+Wurz9TNM3Swg6wPz6kKg9XQbA\\u002fCQw+bL5vsD9ajF2XjpqwPwvzBSZiwrA\\u002fYeAU19bnsD8bWurIiwuxP8KQoKofLrE\\u002f+ieZ7i5QsT\\u002fAlpgEUnKxP+VuiqEblbE\\u002fbDfVGhe5sT9T8traxt6xP0ul5fOiBrI\\u002fHtZO1hcxsj9voS8uhV6yP8\\u002fqVuw8j7I\\u002fB0SmfYLDsj828E4zivuyP4E9ud14N7M\\u002fBuorm2N3sz\\u002f675HaT7uzP72IBZIzA7Q\\u002fZgMSqPVOtD+\\u002fse2Nbp60P6EcRAhp8bQ\\u002fZSmJI6NHtT8dCzpQz6C1P5Cs6qKV\\u002fLU\\u002f14OHM5Vatj8d9M2WZbq2P+\\u002fVqWyYG7c\\u002fUIHm\\u002fbp9tz+hgXXjV+C3PySBdbH4Qrg\\u002fyyIhoCeluD+iad8scQa5P4SU1a1lZrk\\u002f62aU0prEuT8Ty8cMrSC6P0V1LtxAero\\u002fOkqO+QPRuj+7NthcriS7PwsQORsDdbs\\u002fvwZrGtHBuz8yEzqX8wq8P5lD031SULw\\u002fCqsgk+KRvD+Tah9vpc+8P9yEyEipCb0\\u002fCGXNlAhAvT9t4At56XK9P6ufOBd9or0\\u002f5RLQsf7OvT+wQuOusvi9P+YDzXzlH74\\u002fmphDXepEvj8yE5EbGmi+P7qiALPRib4\\u002flkW\\u002f6nCqvj+0iYrsWMq+PwOOj9vq6b4\\u002f0VbPcIYJvz+05juiiCm\\u002fP3T4i1lKSr8\\u002fdYR6Px9svz+ejcyfVI+\\u002fP1R2DGowtL8\\u002fcANwUvDavz9lleuK5AHAP2L7n\\u002fFyF8A\\u002f6b449jMuwD8y0n8PM0bAP27UEoN2X8A\\u002fgH6oav95wD+Op0nNyZXAP0lFysvMssA\\u002fIUSD3\\u002frQwD\\u002fDUAcqQvDAPxzPS9SMEME\\u002f3lGFe8ExwT+038Spw1PBP7D3OVh0dsE\\u002fJ0LdeLKZwT8BojGFW73BP1xEvQ9M4cE\\u002fwnbaVWAFwj8HcYjPdCnCP4yg9rpmTcI\\u002fQf+goRRxwj+eAfnUXpTCPz70w+Ant8I\\u002fMl2M8VTZwj99F78tzvrCP49RTQB\\u002fG8M\\u002f7B3xU1Y7wz+Vnnm+RlrDPwypzJtGeMM\\u002fxcCUGFCVwz8wF9osYbHDP3WZCod7zMM\\u002fbLg2aKTmwz8OWoVy5P\\u002fDPzk+GGtHGMQ\\u002fNh3K8NsvxD+uI1gps0bEP+iFqGbgXMQ\\u002fk0L3xXhyxD8riMDKkofEP9dvRfdFnMQ\\u002fqviDZKqwxD87om5b2MTEP4wkG\\u002fHn2MQ\\u002f2SSDp\\u002fDsxD8ULE4UCQHFP89o8o5GFcU\\u002f2uxK57wpxT84Lo8lfj7FP57CYVSaU8U\\u002fk8J0VR9pxT+rLwrBGH\\u002fFP49QX9CPlcU\\u002fcVvcUousxT9gEa+tD8TFP8wbSOUe3MU\\u002fO\\u002fUIsLj0xT\\u002fRqkuR2g3GP592z\\u002ft\\u002fJ8Y\\u002fi4p9eqJBxj+Ar2jeOVzGPzvB4HA8d8Y\\u002fe4NwKJ+Sxj8GoKDfVa7GP6xyZYxTysY\\u002fiR8ud4rmxj+wpKFw7ALHP\\u002fVoMQVrH8c\\u002fplnHrfc7xz8xDff8g1jHP9qWPMgBdcc\\u002fZsb3TGORxz9SafZQm63HP5DVgj6dycc\\u002fXZsMPF3lxz8C2p4\\u002f0ADIP\\u002fKWcR7sG8g\\u002fgPX4mKc2yD94yeVj+lDIP4NPli7dasg\\u002f\"},\"z\":{\"dtype\":\"f8\",\"bdata\":\"ZlAlAkZapb+RMENQdXqjv8y0RkJUlqG\\u002fLvCcTGFan78FFCMp03ybv45nlunikpe\\u002fsXzidZ+bk7\\u002firxBXiSyPv6ToDix7BIe\\u002f1CWt8pd8fb9YFDwTWmZpv66wf5A2TVE\\u002fwPQgFBaWdT+rGu7J1ImDP2iKG+\\u002flZIw\\u002ffeVIKGStkj+sP1jQ2TSXP8cT2CrKx5s\\u002fXo5D34QyoD\\u002f21u3Wp4WiP8qaoi6d3KQ\\u002fIZJIL6o2pz\\u002f9bunHDJOpP3fC6i3+8Ks\\u002fGGwBhbVPrj+TgPJCNVewP79Weg0shrE\\u002fEeEidV+0sj9zzXnic+GzP2RX\\u002f\\u002fkSDbU\\u002fkKXJrew2tj+gsBY3uF63P87M3fQ0hLg\\u002f2xjPLCunuT8L15GsbMe6P6\\u002fmeUnV5Ls\\u002fJhlXPUv\\u002fvD+t221fvxa+P7adFjktK78\\u002fubv3ek0ewD9gdPyXjKXAP8wUMUxhK8E\\u002f00cZv92vwT\\u002folDGaGDPCP2WFrqwstcI\\u002f+4QWgTg2wz+1GwrmXbbDPyoQtmvBNcQ\\u002fW0SP14m0xD+sWxiQ3zLFPyEPjQLssMU\\u002fXzBmBNkuxj97Zbsy0KzGPyhPlFH6Ksc\\u002f4shBrX6pxz85Adl\\u002fgijIP0cT5VwoqMg\\u002f8WFYpY8oyT\\u002fUHLUF1KnJP1L+SwANLMo\\u002fsH5RhU2vyj9PgGSaozPLPzsM9hIYucs\\u002ft1nQWq4\\u002fzD8vbsRTZMfMPw6eSUcyUM0\\u002foKyZ7ArazT\\u002fO5o+D22TOP2kfSgSM8M4\\u002fsclAY\\u002f98zz+oQaD0CQXQP0wbMs\\u002fRS9A\\u002fbFhyY8KS0D+qGiU4xdnQP4yzo4bCINE\\u002f6wEij6Fn0T\\u002fBQDHySK7RP19nSw6f9NE\\u002fvaYbYIo60j\\u002fWTSbk8X\\u002fSP9njZHi9xNI\\u002f8vFiPNYI0z+6GmXuJkzTPzP1JkScjtM\\u002f49HEPSXQ0z\\u002foJ3VxsxDUPyPYyU47UNQ\\u002fZJdLWLSO1D9zY2FSGczUP9GNmmZoCNU\\u002fnSqbOqND1T8dBBj6zn3VP5zsf1P0ttU\\u002f6a0jZx\\u002fv1T+nG+OoXybWP1UXnLTHXNY\\u002fVrzOFW2S1j9Igh8DaMfWP5j7kw7T+9Y\\u002fJP+Xy8ov1z\\u002f4nQZsbWPXP\\u002fJim1Xaltc\\u002fFjRUsTHK1z\\u002f+CGr2k\\u002f3XP9jjnXIhMdg\\u002fx4qn0flk2D90\\u002fJulO5nYP9o7IvIDztg\\u002fz69FvG0D2T+f8aWgkTnZP5aprHGFcNk\\u002f+kpT31uo2T\\u002f2ktwpJOHZPzozueDpGto\\u002f5L+crrRV2j\\u002fPopAziJHaP4dul+1jzto\\u002f63U0MEMM2z9OJOsqHUvbP21ciP7kits\\u002fLlDH4InL2z9UAqRN9wzcPwYjcUUVT9w\\u002fZ12OlsiR3D+YjGgx89TcP5eqP4V0GN0\\u002fG4sH5Clc3T8DX5nr7p\\u002fdP6Y5VfKd490\\u002fR95EdRAn3j++TsyFH2reP8cX+TSkrN4\\u002fhSeP+nfu3j+75wgWdS\\u002ffP0UA4Od2b98\\u002f2gecQVqu3z8EzFOr\\u002fevfP1Lywc4gFOA\\u002f838sV4Qx4D+8TebYG07gP3hDG+baaeA\\u002fm6OdO7aE4D85+KK8o57gPy34AGiat+A\\u002fx5hGR5LP4D\\u002fs0i1YhObgP\\u002f+sAHFq\\u002fOA\\u002f2EKnID8R4T9IPiyL\\u002fSThP1AAmUOhN+E\\u002fVjIaJCZJ4T8nQmgliFnhP1MrdTbDaOE\\u002fgb1hFdN24T9jOrgqs4PhP0O64Gdej+E\\u002foWa1Kc+Z4T9UhAkg\\u002f6LhPzrO3jrnquE\\u002fwTDpnX+x4T9NDeKav7bhPyBbCrOduuE\\u002fSuIWoA+94T8rGZxkCr7hPyCU6GOCveE\\u002f4DMWgWu74T8cEPREubfhP2A8RgpfsuE\\u002f9au1L1Cr4T+ZVKpOgKLhP7zgLHbjl+E\\u002fpVvUaG6L4T\\u002fow6\\u002fcFn3hP+vHC7zTbOE\\u002fzW\\u002fqZZ1a4T8eXv3sbUbhP1m+81NBMOE\\u002f1vXyxRUY4T\\u002f5phzK6\\u002f3gP21hFXHG4eA\\u002fRi6Ve6vD4D+HpSV5o6PgP2jsT965geA\\u002f01ifEf1d4D9x4AJvfjjgPxZIP0FSEeA\\u002fgQWbYh\\u002fR3z9xMVZXoXzfP3AHmndjJd8\\u002fidEevKPL3j8HdEqRpG\\u002feP+2wYlisEd4\\u002fDyqt2QSy3T9toFip+lDdP5W1Q4Hc7tw\\u002f4EPlkfqL3D+gZcDMpSjcP3jR6Sovxds\\u002fBts08uZh2z8Q46P7G\\u002f\\u002faP5VKsv0ando\\u002fZDT93C082j9q5rQFm9zZPxz7GtCkftk\\u002faoci8ogi2T+5yA8AgMjYP7fktf28cNg\\u002f9u6rAW0b2D\\u002fVDYjrtsjXP3SV4S27eNc\\u002fQK2KrJMr1z8dBCGvU+HWP9inxOcHmtY\\u002fQq51jbZV1j9yXU6JXxTWP+soibX81dU\\u002f8lgBLYKa1T9VkaOp3mHVP8iXEfD7K9U\\u002fqmuTRr\\u002f41D\\u002fejk\\u002f1CcjUPxCvrc25mdQ\\u002fuOS5tqlt1D\\u002f9g1s8skPUPwvYOB+qG9Q\\u002fWcEw42b10z+ykGtavdDTPxb1JCuCrdM\\u002fQp14ToqL0z8fXKmGq2rTP2Qsjsu8StM\\u002fWEEIrJYr0z9aQaCjEw3TP9OfpWMQ79I\\u002fy55oD2zR0j+3mmRrCLTSP4\\u002fAa\\u002f\\u002fJltI\\u002fExkeLJh50j9q6So0XVzSPwniCzoGP9I\\u002fN6YUM4Mh0j9oN9bQxgPSP+Q59GHG5dE\\u002ff32hq3nH0T+Jewm92qjRP8eB9b3lidE\\u002fux7+uZhq0T9uUJRp80rRP1JSIvr2KtE\\u002f3S9y1qUK0T9UFHFwA+rQP01hSg0UydA\\u002ftK+1lNyn0D883C9kYobQPyUEsiarZNA\\u002fb85SsbxC0D9LcRflnCDQPxf2Jiyj\\u002fM8\\u002fmrui78C3zz8Sx7UdnnLPP56CMU5FLc8\\u002fN0NIncDnzj\\u002fvdBmpGaLOPy2ZBJZZXM4\\u002fDR2DGIkWzj\\u002fAdTWDsNDNP5KextfXis0\\u002fYOZJ2QZFzT8rnsEeRf\\u002fMPyUZkSSaucw\\u002fkcC4Ww10zD8By941pi7MPwVKUS1s6cs\\u002fUHddyGakyz8RFYuXnV\\u002fLP7Dhfy4YG8s\\u002fXxeFF97Wyj8\\u002fPN7B9pLKP763U2tpT8o\\u002fal2DBT0Myj9bILQXeMnJPypQD54gh8k\\u002fHh9A5ztFyT8Z\\u002fJBxzgPJP23nrMjbwsg\\u002ff\\u002fowZWaCyD\\u002fFtTePb0LIP3Rb\\u002fET3Asg\\u002fT\\u002fSgJvzDxz\\u002fRDQZoe4XHP\\u002f6AgMlwR8c\\u002fnnsQmNYJxz8KoI61pczGP5KDEanVj8Y\\u002fsGOYt1xTxj8W7tAEMBfGP6fRlrtD28U\\u002fVeKVPYufxT8pSURZ+WPFP8vSOoWAKMU\\u002f6i7HHxPtxD8c9m+xo7HEP9mJBTEldsQ\\u002fYyzGR4s6xD8ToA+Uyv7DPwKjFenYwsM\\u002fo+saiq2Gwz9v4LlfQUrDP3rk4iWPDcM\\u002feE9XkZPQwj9JVZFrTZPCP7htOaS9VcI\\u002fODKAV+cXwj8A++7Iz9nBPxx\\u002fgFJ+m8E\\u002f8vQTSPxcwT+0Oo\\u002fPVB7BP\\u002fnnRa6U38A\\u002fI1t6DMqgwD\\u002fcZgkwBGLAP53Why9TI8A\\u002fdZWSPo\\u002fJvz94h+Fz5Ey\\u002fP7E2lwzH0L4\\u002f7JWd+FZVvj+BOTdWstq9P6ml58P0YL0\\u002fWYT7uzbovD9Gt039jHC8P43crQQI+rs\\u002f5x4BmrOEuz+ygNhzlhC7P3IJyvOxnbo\\u002f9pJe\\u002fQEsuj8v4N7ofLu5Pyr+upITTLk\\u002fQqaxh7HduD8clUVNPXC4P5nBd8WYA7g\\u002fd0cqrKGXtz8v3QMsMiy3P07MKYghwbY\\u002fLHax10RWtj+QAUXPb+u1P\\u002fYfI5V1gLU\\u002fX81hmykVtT+l+TB8YKm0PyU4xdPwPLQ\\u002fbHKUE7TPsz+xP6dKh2GzP6OL8N5L8rI\\u002fsMDhM+iBsj9LYco6SBCyPw8f\\u002feldnbE\\u002fROQvmCEpsT+SbRU6krOwP58ww4C1PLA\\u002f+bQksC+Jrz9G6ZaJmJauP8LfHEbYoa0\\u002fdCgSjC2rrD+MsVH14bKrP0p3D99Iuao\\u002f+6e1Cb6+qT+WfEQPpMOoP+ZohLdiyKc\\u002f6f8EMmXNpj\\u002fmgWQ+GNOlPx3vsUvo2aQ\\u002fzADklz\\u002fioz863VlYhOyiP+L6JvQW+aE\\u002fBrGLWFAIoT8Ci3FvgBqgPwdDIX7ZX54\\u002fE8Abcp6RnD+Vidt8qsqaP8AkUrk9C5k\\u002fYo0djnxTlz89SN0cb6OVP48AoC8B+5M\\u002fvd1\\u002fowJakj9OSx1NKMCQPwD\\u002fsaIaWo4\\u002fhxkF1WlAiz8j+WcgGTKIP0a8nezcLYU\\u002fXksZrEgygj9ULGrLqXt+P1R+Ny\\u002fLnXg\\u002fiJWUp6HHcj8ZQTDYletpP+\\u002fpkZuOk1w\\u002fSekYgkgZNT9jl2m2hB1Sv4vDJq8v0mS\\u002fQm50lnpWcL+wIrWPO1J2vxW0oXLLXny\\u002fu6ewLyk\\u002fgb\\u002f4mzgjVVmEv8RVbmetfoe\\u002fkGGYZMuvir+n0XuWHe2Nv9E2peVzm5C\\u002fTGf2DKJGkr9Csq5BEviTv+5Q2Jeqr5W\\u002f84Vdmj9tl78DZwrplTCZv1vdRgZk+Zq\\u002fL4UBSVTHnL8bl\\u002frmBpqev2DwzQWKOKC\\u002fySnn9wYmob8ZzeFzQRWiv33VNq7\\u002fBaO\\u002fxJys0wf4o786ZWXkIOukv7FOqHgT36W\\u002f4hu2bKrTpr8Eqr1xs8inv8V+y4L\\u002fvai\\u002fEDlXPWOzqb9B4tMdt6iqv3U8YKHXnau\\u002f5KZdTqWSrL8D6kqmBIetv4+nwAPeeq6\\u002f6EDUZx1ur7\\u002f5yDgdWTCwv0optYBHqbC\\u002fdkcFidQhsb\\u002fmP3og\\u002fJmxvyn87Um7EbK\\u002fihs6\\u002fA+Jsr9qRMIB+f+yvz3pUd11drO\\u002fdyxKtYbss78BCNJFLGK0vwtpa9pn17S\\u002fV+79TjtMtb8H1BUYqcC1v\\u002f\\u002fKxVG0NLa\\u002fF2NP1GCotr8UmHFNsxu3v30QAl2xjre\\u002fCo9Fs2EBuL\\u002fijFgvzHO4vyss4\\u002fv55bi\\u002fKopMqPVXub86bak8y8m5v2NquUaIO7q\\u002f041r3jutur8ZjJeg9h67v\\u002fZa2Z7KkLu\\u002fEzjJQ8sCvL\\u002fNuR8rDXW8v\\u002fFRsu2l57y\\u002fBUCW4atavb8YrBvPNc69v5PBtZtaQr6\\u002f7VZE7DC3vr9VLo3Aziy\\u002fv3VuAwpJo7+\\u002flokgoFkNwL\\u002fFt+Z6j0nAv9a1+bdNhsC\\u002fvCJAoprDwL8bgiMAewHBvwhYmuzxP8G\\u002f4bJOtwB\\u002fwb9AXBnNpr7Bv7iS5Knh\\u002fsG\\u002fKvDa1Kw\\u002fwr9fy5DnAYHCv04OmaDYwsK\\u002fkGezAScFw78YaHp54UfDv9wgLhj7isO\\u002fcvDszmXOw79vNGK4EhLEvxJdq2nyVcS\\u002fEk7xSfWZxL860vfuC97Ev+jpsHwnIsW\\u002fuHi3BTpmxb8Os3XqNqrFv43WqDQT7sW\\u002fnyDu7MUxxr9ePw1oSHXGv53+yomWuMa\\u002fWLkz+677xr\\u002fj0H9Skz7Hvypz9CpIgce\\u002fy1dvK9XDx7+Wh6P6RAbIvz8lbiClSMi\\u002fvLAS1AW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4dNg\\u002fF5kqSatc2D8GujNFpETYP\\u002fFpMcmbLNg\\u002fLJi+7IoU2D\\u002f7hMb8a\\u002fzXP5Dv2oM65Nc\\u002fIS27SvPL1z8ETFtRlLPXPz\\u002f45MAcm9c\\u002fYWdS14yC1z\\u002fzUmXN5WnXP+hO2LcpUdc\\u002fTAy\\u002fZFs41z9r9Rk2fh\\u002fXP0DNqvqVBtc\\u002fD4Uaxqbt1j9ZaHzJtNTWP1ZMMC3Eu9Y\\u002faP8U7dii1j8tS+a39onWP\\u002fsah9IgcdY\\u002fzX7Z\\u002f1lY1j8uIaRtpD\\u002fWP2dB4KYBJ9Y\\u002fOEeli3IO1j+NhMBO9\\u002fXVP1mm4XiP3dU\\u002f7Jkf8TnF1T\\u002fSJ3cK9azVP8IFxZW+lNU\\u002fll6h95N81T\\u002flaGtBcmTVP7IawUxWTNU\\u002fzb2R2Dw01T\\u002fZWvKmIhzVPzW\\u002f2JoEBNU\\u002fhETl1N\\u002fr1D\\u002f1T2zOsdPUP15x\\u002fnF4u9Q\\u002f2LbAMDKj1D8rq\\u002f0T3orUP3fxccp7ctQ\\u002fnNL0sAta1D+YmjzWjkHUP7eGn\\u002fkGKdQ\\u002fM3DThHYQ1D+lfM+A4PfTP6UgE4ZI39M\\u002f9OCzqLLG0z+4xK5gI67TP6OuEm+fldM\\u002fSEWtwCt90z+lOPROzWTTP34z8P+ITNM\\u002fsGD1hWM00z99Afc\\u002fYRzTP54eQBuGBNM\\u002fKgRTd9Xs0j9bMKQMUtXSP9cC1Nb9vdI\\u002fMzz1Atqm0j+bx1Xi5o\\u002fSP9D0I+IjedI\\u002fO+QsiI9i0j8JKNJ0J0zSP8FANWroNdI\\u002f4mJ4WM4f0j\\u002f+mdVu1AnSPx+aMDH189E\\u002fCA+tkSre0T8vlLsNbsjRPwdC+824stE\\u002fDlk9yAOd0T\\u002fMY+ziR4fRPzFvEBl+cdE\\u002fntomnp9b0T\\u002fXxgUBpkXRP4NDCU2LL9E\\u002fUtbSKEoZ0T8ajvLx3QLRP3so49RC7NA\\u002fW2rY4HXV0D9EJfcWdb7QP0HlqHQ\\u002fp9A\\u002f40vZ+NSP0D8MAwikNnjQP2lJN3NmYNA\\u002fLLjbVWdI0D9cXQ0fPTDQP9AEVHLsF9A\\u002fNe\\u002f\\u002fWPX+zz+ALiqS283PPwosv4mYnM8\\u002fc6Cu\\u002fDlrzz9NWwEpzjnPP6ub\\u002f4ljCM8\\u002fjP4olAjXzj\\u002fkVWZyy6XOP\\u002fMb0cW5dM4\\u002fJxRYaeBDzj8km206SxPOP8zlyucE480\\u002f+NwsxxazzT+AWsSyiIPNP\\u002fda5e5gVM0\\u002fE2NQGKQlzT+O\\u002fD8bVffMP2YAMzN1ycw\\u002fl3c88wOczD+zTHRW\\u002f27MP2DQ+ddjQsw\\u002fGxvTkSwWzD8BZNNhU+rLP5YclxPRvss\\u002fZYKPjp2Tyz+mtggHsGjLP512DTH\\u002fPcs\\u002fhkcKdIETyz91JxceLenKP25M2pX4vso\\u002fgLkHitqUyj8+5JcdymrKPz+a6g+\\u002fQMo\\u002fGAkq4LEWyj9NYGPrm+zJP9IX7oR3wsk\\u002fUInfCECYyT8\\u002fU23o8W3JP9gERbCKQ8k\\u002fd\\u002fwBCQkZyT\\u002fGZQqybO7IPxMtOXe2w8g\\u002fVu3TIeiYyD8n2GBlBG7IP3H7AMkOQ8g\\u002f3Nr+jQsYyD9T80eU\\u002f+zHP8J4iT3wwcc\\u002fm5KlT+OWxz\\u002fu1C7X3mvHPxcQjArpQMc\\u002fS1BXLggWxz\\u002fgk3h7QuvGPwIBaAeewMY\\u002fquTsriCWxj\\u002fGOZcD0GvGP2yYGTyxQcY\\u002fxuqRJ8kXxj9VzrgjHO7FP0y32hWuxMU\\u002fV1NrZoKbxT8RvvP+m3LFPxlBD0r9ScU\\u002fJtsgNaghxT8w0GUznvnEP+kjB0Lg0cQ\\u002fBwnN7G6qxD+U3RtTSoPEP0\\u002f+6SxyXMQ\\u002fejVoz+U1xD+cYyMxpA\\u002fEPwK3dO2r6cM\\u002fNtElR\\u002fvDwz\\u002fQAD8qkJ7DPwuhBi1oecM\\u002feiVJkIBUwz\\u002f+wRA\\u002f1i\\u002fDP5VxAc5lC8M\\u002fKdqZeivnwj8\\u002fw6IqI8PCP\\u002fMsHWxIn8I\\u002feksCdpZ7wj8WligqCFjCPwalnRiYNMI\\u002fLNe9hEARwj+dx0hs++3BPwe+pJDCysE\\u002f+9Fzgo+nwT8U3IuvW4TBP94KT3MgYcE\\u002fLI9OKdc9wT8t8wtCeRrBPzrtmFkA98A\\u002fVYHBT2bTwD8Zq1lhpa\\u002fAP48vN0K4i8A\\u002fwShSN5pnwD+y3nswR0PAPyH6E+G7HsA\\u002faM5Aruvzvz\\u002fuIVkg56m\\u002fP+g9shZpX78\\u002fCxgcsHIUvz9wZptBB8m+P3kmcGMsfb4\\u002fDHfD9Okwvj+mS3IVSuS9PzZXnhVZl70\\u002fjGjmWiVKvT8y+WE7v\\u002fy8Pyd3t844r7w\\u002fF1ngtaVhvD+i0GfaGhS8Pw9sJyauxrs\\u002fjr62NHZ5uz\\u002f82u7\\u002fiSy7P97QBokA4Lo\\u002fIGfqf\\u002fCTuj+0Hn\\u002fqb0i6P9Z0lM2T\\u002fbk\\u002f0QE72W+zuT+fRDIaFmq5P\\u002ffFBrKWIbk\\u002f6yJal\\u002f\\u002fZuD8WFaVfXJO4P3GekRO2Tbg\\u002fNCbSDhMJuD\\u002f85BrsdsW3PwPtnn3igrc\\u002f0QEr0lNBtz+AA7BGxgC3P2KyxqMywbY\\u002fCb5wRo+Ctj\\u002fZNRlT0ES2P3YnmvHnB7Y\\u002fKxrYkMbLtT\\u002flfVcwW5C1PzxKDa6TVbU\\u002fYOeTFl0btT\\u002fRweD1o+G0P78SlqZUqLQ\\u002fqpoXnltvtD\\u002fGIKCzpTa0P\\u002fQXuGAg\\u002frM\\u002fghqb+bnFsz9p+VDcYY2zP+WvfpUIVbM\\u002fyiQ6+p8csz\\u002fSoXc2G+SyP5Vz989uq7I\\u002fPlfrnZBysj8\\u002fMNy1dzmyPzb7pk4cALI\\u002fHxyymnfGsT\\u002fnDsCag4yxPy1uAOs6UrE\\u002ft5YyjJgXsT8UhNSql9ywP3qzc2YzobA\\u002fYBFEm2ZlsD+GlCGwKymwPw\\u002f0J9b42K8\\u002fnFCinKNerz9A6ST\\u002fR+OuP2RHuHbUZq4\\u002f7PIrqzXprT9N1RGRVmqtP\\u002foBBaYg6qw\\u002fD0IITHxorD+8CwpEUeWrP81A10aHYKs\\u002fQIMAuwbaqj90o3OFuVGqP3Ef0PGLx6k\\u002f8S3Prm07qT+IiHnaUq2oPwLbWhk1Hag\\u002fwMpvsxSLpz+l4TKx+famP\\u002fmN8PL0YKY\\u002fX6NsPCHJpT8HY+UupC+lP5RloSuvlKQ\\u002fn4x2GYD4oz8bVBcIYlujP9rZb6ytvaI\\u002fglnysckfoj\\u002fE6WDdKoKhP4pvZP5T5aA\\u002fKlATrtVJoD94MNKym2CfP39mLS\\u002fOMp4\\u002fh4\\u002f4ma8LnT\\u002fOUQs5wuybP03iB1Sb15o\\u002f433rYeDNmT9t8e7nQ9GYP0AMlBOC45c\\u002fkx36Gl0Glz\\u002fbGJ5vmTuWPwPQfdD5hJU\\u002fcwQtSTvklD\\u002fJrcQrEVuUP2BerxMh65M\\u002f+YEx\\u002f\\u002f6Vkz8qvyqNKV2TP1y08WsGQpM\\u002fp6lYBd9Fkz+cXOVy3WmTP63sFcQJr5M\\u002fCX03n0cWlD9S+d9DVKCUP0kCk\\u002fTETZU\\u002fco6CywUflj8ULL78WBSXP68fiIbWLZg\\u002fJnX1TmxrmT\\u002fSs3ys3syaP4norFXJUZw\\u002f4gj6sqD5nT9\\u002fO2GMs8OfP2XJ0YWW16A\\u002fbZd9hYvdoT9Qz79TLvOiP+Tj9YbmF6Q\\u002fyqUQPA9LpT\\u002fCSc2o+IumP+6Ffbzp2ac\\u002fegqJyiE0qT9CgfY52pmqPzOUfTVICqw\\u002fZ8jjV56ErT964bBQDgivP4MszT7lSbA\\u002fwdGuuoMTsT9vCY7AfuCxPwtJ0wB1sLI\\u002fMJ1AXwiDsz+oWV6O3le0Pz7\\u002fCZ6hLrU\\u002fgp6DfAAHtj9AM3dpr+C2P42PnFpou7c\\u002fOmChUeuWuD9uwiWj\\u002fnK5PwMBpS5vT7o\\u002fW+sxhxAsuz\\u002f3TfkMvQi8P2EzhvdV5bw\\u002fKG7LUMPBvT8TdP3g852+P4KSTwvdeb8\\u002fm3HYTb0qwD\\u002f0fNhCZ5jAP0NYYUrwBcE\\u002fnr0SB19zwT8z0GmivODBP5QC948UTsI\\u002fE3seSnS7wj8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02fLz52xgDx2z9OfwXckBTcP07B8yHTNNw\\u002foZRZw5dR3D+6XdawsGrcP\\u002fG6akbyf9w\\u002fjZ6d8TOR3D+3vCDVUJ7cP+HmImcop9w\\u002f6A2GB5+r3D9L6UKLnqvcP8JrZboWp9w\\u002feL46vv2d3D\\u002fluYJ9UJDcPyvJuuQSftw\\u002fVazlGFBn3D\\u002fiTYmTGkzcPzFZ+CaMLNw\\u002fts9e6sUI3D\\u002fAxG0N8ODbPwfe6JM5tds\\u002ft2G++deF2z+3obbABlPbP3OnJ+kGHds\\u002ftmR0Vx7k2j9luHEol6jaP3vEFfe+ato\\u002fLwsWFuYq2j+1Xk3AXunZP27r6kJ8ptk\\u002fpMmGJJJi2T99EUZM8x3ZP2ciOCzx2Ng\\u002fTK0I8tqT2D9yWQbB\\u002fE7YP1EPVfieCtg\\u002f5tDthwXH1z\\u002fchc1Wb4TXPw1vabwVQ9c\\u002f\\u002fW0sDywD1z\\u002fseGVJ38TWP3MXr8VViNY\\u002f+GJzE69N1j89kMnjAxXWP8VYgw5m3tU\\u002fqovbruCp1T8Yb9VWeHfVP2krAFgrR9U\\u002fZtn7H\\u002fIY1T88gNCmv+zUP3+q4+yBwtQ\\u002fF2UghiKa1D\\u002fHZbgvh3PUP1t6xG2STtQ\\u002fQLf2LSQr1D+EXYpsGgnUP9IZpNhR6NM\\u002fnMlodabI0z9j3TA19KnTP1n6aYwXjNM\\u002f1bLu+e1u0z\\u002f45NuCVlLTP7A1MyAyNtM\\u002fjLnoHGQa0z8Elk1j0v7SP\\u002fyPILll49I\\u002fT13m6QnI0j8vaYTfrazSP7zUb6lDkdI\\u002fpCkWc8B10j+U3XNqHFrSPw\\u002fyFJhSPtI\\u002fClj8qWAi0j+LISazRgbSP5L9heEG6tE\\u002fODqGLKXN0T++DCP+JrHRP2LcydiSlNE\\u002fZK8k\\u002fO930T8P0u4KRlvRP5jB2bOcPtE\\u002f5PJoX\\u002fsh0T+wC4HkaAXRP8GYNEXr6NA\\u002fomQedYfM0D9KpVkqQbDQPwKx47kalNA\\u002fl1Pr\\u002fxR40D\\u002fgwkhUL1zQP1orEItnQNA\\u002fCmrpALok0D8hTZOyIQnQP4MYcr0w288\\u002fftENYi2kzz8ecXDqKG3PP+8UXaERNs8\\u002fO9X\\u002fAdX+zj+CbqQ7YMfOP0Kxlrigj84\\u002fr4G0pIRXzj9rpEVw+x7OP+PdzUv25c0\\u002f2RrBmWiszT9CIUZTSHLNPx72iF2ON80\\u002fbq2AzTb8zD9YbHoYQcDMP71xMjCwg8w\\u002fGkLBiYpGzD+BuyMP2gjMPzX0pfuryss\\u002f\\u002fG\\u002f3oxCMyz8YmCgrG03LP0TEQibhDcs\\u002fWASTMHrOyj\\u002fp+Blz\\u002f47KPyNs3iGLT8o\\u002fvGMb8jcQyj\\u002f1z2uMINHJP\\u002f3uLP5eksk\\u002faodULQxUyT+tPulRPxbJP2buKXgN2cg\\u002f1c49DomcyD9QxgOAwWDIP4LIROPCJcg\\u002fIdMttpXrxz\\u002f48ouxPrLHP1JD0q++ecc\\u002fpqd5qRJCxz+UzM7GMwvHPw+Zx4YX1cY\\u002fE2cA+q+fxj8n240Q7GrGP9+U5Pi3NsY\\u002fqqe2jf0Cxj8V+VHQpM\\u002fFP4ksxGyUnMU\\u002fjTvSRLJpxT8\\u002faaz+4zbFP127M5QPBMU\\u002fZeqk3xvRxD84y40i8Z3EP6sgFYR5asQ\\u002f0rLQg6E2xD\\u002fbRqleWALEP1AJnmOQzcM\\u002flUqXNj+Ywz\\u002fl5uD\\u002fXWLDPzv1VIfpK8M\\u002fo9S0OuL0wj8KtiYfTL3CPwOdRa4uhcI\\u002f88qmn5RMwj8l+SagixPCP4owufgj2sE\\u002fUB3OJnCgwT96XbtohGbBP1i0zEB2LME\\u002fUMjb8VvywD+kB234S7jAP57IYINcfsA\\u002f6WNG76JEwD+4AExHMwvAP8oNQ50\\u002fpL8\\u002fLDrhKfEyvz8a7o8wlsK+P1pEDu1DU74\\u002f2rf2XwnlvT9O6e\\u002f47ne9P1Jpj2f2C70\\u002fUFjGkxqhvD\\u002f80si9Tze8P2TRe8SDzrs\\u002fFJyWkJ5muz8nV9Khgv+6P2cmwLoNmbo\\u002fAH0xpxkzuj9pIooYfc25P12k25IMaLk\\u002f0+5QZZsCuT8WfTio\\u002fJy4P0Mv5ToEN7g\\u002fvZepu4fQtz8UH190X2m3P1hkODZnAbc\\u002fbtAKIH+Ytj\\u002fMsMNKjC62P6oMXlh5w7U\\u002fNtxj4jZXtT+Y\\u002fMrFu+m0P\\u002fBwz0oFe7Q\\u002flEZEKBcLtD9Epq1i+5mzP4YnTAjCJ7M\\u002fv1kOzIC0sj+p3xyCUkCyP5AAY4FWy7E\\u002fzTIN7q9VsT\\u002fxbXXxhN+wP0UoV+T9aLA\\u002fyEXR4Ijkrz\\u002ftPjZdBfeuP\\u002f9Ejo7ECa4\\u002fzTvaMhcdrT9cVO3bSTGsPxz2FHejRqs\\u002fHKgf\\u002fmNdqj\\u002fU4uBYw3WpP1hpCnXwj6g\\u002fjP3MmBCspz986DLzPsqmP9BlmGuM6qU\\u002fk18SsP8MpT8L\\u002fASBlTGkPykcqzZBWKM\\u002famzne+2Aoj9k8W84fauhP9buRaPM16A\\u002fvK98dbIFoD+joi9pAmqeP9likxYRy5w\\u002fVRsvTi0umz+Ka8gi85KZP0LON\\u002fUA+Zc\\u002fy8Zk3flflj+79ajVh8eUP8EaJ5pdL5M\\u002fqSTMLziXkT9p\\u002flMSwP2PP8ZgK4RTzIw\\u002fL4i12+yZiT9CO7TtZmaGP+KA7CK0MYM\\u002fmL+8HLn3fz9nZsGG9ol5P2zyAgF2GnM\\u002fW6x2I0lTaT8PwmtO+N9YPxhup9kR\\u002fgy\\u002fsbMZ6TOvWr8G2Fm2CjpqvxTmE8ZNjXO\\u002fGakYWm\\u002f8eb\\u002f8bZ4JLjWAv95\\u002fUvuaa4O\\u002fzoQneKqhhr9pHZKWpdeJvzJM\\u002fuLzDY2\\u002fJPDH5o0ikL8XjfAS4b6Rv\\u002fwTaVBUXJO\\u002f8TyAtVX7lL+laoToXpyWv8AfkAbzP5i\\u002f9jXWJ5zmmb9z+RWP6JCbv1G0ZZRnP52\\u002fn\\u002fSpXabynr\\u002fs9WQ8llWgv6GXeDa8NKG\\u002fwpR1LP4Wor93LGtajfyiv7zdiKaR5aO\\u002fo\\u002fOuRSjSpL\\u002fVedyQYsKlv\\u002frbQxRFtqa\\u002fOjGZ38atp7+9v8Ed0aiov2q+c\\u002fg+p6m\\u002ffAeZyt2oqr98pHGiba2rv+bbjhKitKy\\u002f+D3YTiO+rb8Az+2Qj8muv1OMcL181q+\\u002fIzkIIT1ysL\\u002f8x1+Rifmwv3E4jxXogLG\\u002fQOkTHB0Isr9f0qtG7o6yv0S2BJQjFbO\\u002fNTjMgYias7\\u002f8bHUg7R60v3ZLQBInorS\\u002fQt1ubxIktb\\u002fWexmKkqS1vwInvIySI7a\\u002fOo9f7wWhtr\\u002fHgSTA6By3v1z98rw\\u002fl7e\\u002fBLkZPRgQuL8CTcHqh4e4v8YLMU2s\\u002fbi\\u002f6Wb8Japyub8L2j+krOa5v91RFXLkWbq\\u002fpqtToYbMur+VeH19yz67v7h0c0ntsLu\\u002fEp8K8CYjvL+h3wivspW8v1TlQsTICL2\\u002fn42gJJ58vb\\u002fT76lEY\\u002fG9vyZZ7vlCZ76\\u002f83cZfGHevr\\u002fIBeSL21a\\u002fv5XUP8XF0L+\\u002fEMSXEBYmwL890FbViGTAv9tXcTS4o8C\\u002ftw3bv5zjwL\\u002f5SUPDKiTBv\\u002fVYy4lSZcG\\u002ffye\\u002fvACnwb+gwmDZHunBv7v3SLuTK8K\\u002f2kVeOERuwr+PYfLKE7HCv9WPOEbl88K\\u002fTXT+kJs2w784g19iGnnDvwV+EvxGu8O\\u002fnhPx3Qj9w78pMXRuSj7Ev8J1E5T5fsS\\u002fcavCOwi\\u002fxL9QrSvJbP7Ev2K5u20iPcW\\u002fR1EmZCl7xb+9jZoOh7jFvy\\u002fJjvZF9cW\\u002f\\u002fyC2rXUxxr9xnmeQKm3Gv3bWc2p9qMa\\u002f12IXAIvjxr+SsmJ9cx7Hv79iDs9ZWce\\u002f8+hC6GKUx7+qaVf5tM\\u002fHvwoc85t2C8i\\u002fEgRM+c1HyL8bCXPv34TIvxsAtzrPwsi\\u002fi0clqLsByb9uyg5WwUHJvycLPAf4gsm\\u002fnzsjjXLFyb86BwJNPgnKv9XIM+NiTsq\\u002fsjN\\u002f5+GUyr89PmfUttzKvycFzhLXJcu\\u002f1GpxKjJwy797pvwWsrvLv+QynMA7CMy\\u002f+w43lq9VzL+8eK1G6qPMvzyEx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hewRxMM6j9di7+YpgrqP7HHxzY6Ceo\\u002f5\\u002fBV1tIH6j\\u002f8B4IMdQbqPyODbjglBeo\\u002f\\u002fzzZbecD6j+oMDFhvwLqP5ksmlWwAeo\\u002faQU7Db0A6j+eNSS85\\u002f\\u002fpP9ikDP4x\\u002f+k\\u002fDfYQz5z+6T+srY+HKP7pP4cxKtvU\\u002fek\\u002fvIzg2qD96T8KcSz6iv3pP1mR7xaR\\u002fek\\u002f1Yf6g7D96T9bW+QV5v3pP1qr3zEu\\u002fuk\\u002fR8ox3oT+6T\\u002fXwunT5f7pP7GFcZFM\\u002f+k\\u002fa0+SbbT\\u002f6T8psIaqGADqP8JguIh0AOo\\u002fnBLOWMMA6j+GbLWMAAHqP\\u002f4pX8cnAeo\\u002fgoLu6jQB6j9KRSklJAHqP3gTA\\u002frxAOo\\u002fEHorTJsA6j+8\\u002fZNjHQDqPxkX8PF1\\u002f+k\\u002fgFE9FaP+6T8352xYo\\u002f3pPxoQUrJ1\\u002fOk\\u002fgIgAgxn76T9gcM2PjvnpP1loKf7U9+k\\u002fibGNTe316T93DrdQ2PPpPw9BaCaX8ek\\u002fjGLrMSvv6T\\u002f2GYUTluzpP30bB6HZ6ek\\u002fK5mo3vfm6T9FqkP48uPpP4l0DjvN4Ok\\u002f3l3eD4nd6T\\u002fwDvv1KNrpP\\u002ffffn6v1uk\\u002fE7g6SB\\u002fT6T+mrwz8es\\u002fpPxwpk0nFy+k\\u002fNbwh5ADI6T8OZ9p\\u002fMMTpP7ASzM5WwOk\\u002f+KX3fXa86T+qmh4ykrjpP4A\\u002fQYSstOk\\u002fbGq3\\u002fcew6T81LNQT56zpP7DnCyMMqek\\u002fjsWbaTml6T9ok7kBcaHpPxlnW9u0nek\\u002fuJOutQaa6T+1SF0YaJbpP\\u002flNyUzakuk\\u002fFm1oV16P6T+n+nPx9IvpP5BdIIOeiOk\\u002f8zmTHluF6T\\u002fF5s57KoLpPwj8x\\u002fULf+k\\u002fIAvWiP576T\\u002fjAavSAHnpPzpi9RMRduk\\u002fpovIMy1z6T+j\\u002fdvEUnDpP23\\u002fpgx\\u002fbek\\u002f4MRRDK9q6T+TTWiL32fpPy43LiQNZek\\u002fRO1lUTRi6T9RaVF9UV\\u002fpP3V1pxFhXOk\\u002fPncuiF9Z6T9ehKV7SVbpPwM0nrgbU+k\\u002fZ4flTdNP6T9okxicbUzpPwdyAmToSOk\\u002fQHtk00FF6T+03s+PeEHpPxRcQL+LPek\\u002f\\u002feQyDns56T\\u002foMgCzRjXpP8SDUm7vMOk\\u002fd26eiHYs6T87rZjM3SfpPyBqtX4nI+k\\u002ftZPQUVYe6T8rgzFZbRnpP69SLvhvFOk\\u002ffSXEz2EP6T+33oiqRgrpP8rkZ2ciBek\\u002fLi+m4\\u002fj\\u002f6D9Jo7HkzfroP55qRAKl9eg\\u002fNj1mkYHw6D+yc9OQZuvoP6AOTJdW5ug\\u002fhMVDxFPh6D9Jxl+zX9zoP2BNH3N71+g\\u002fLvr5fqfS6D+HHCq9483oP02nQoAvyeg\\u002f932YjInE6D\\u002fICW4h8L\\u002foP0YCtwVhu+g\\u002f97sxmNm26D8JwXviVrLoP2iRsa7Vreg\\u002fFsAVn1Kp6D+\\u002fyipHyqToP4V5nUU5oOg\\u002f\\u002f71TXpyb6D91P+6T8JboPwFHCUAzkug\\u002fjrWMKWKN6D+TIWKYe4joPzQY9GV+g+g\\u002f4ZbpCWp+6D+X3aSiPnnoPzhQJPn8c+g\\u002fisP+f6Zu6D86s1FNPWnoPxPVlg\\u002fEY+g\\u002fmZN2\\u002fT1e6D+vcc3ArljoP+NnOl0aU+g\\u002fXC2rEoVN6D\\u002fdSng880foP6QQvS1pQug\\u002fOWCuC+s86D9REMamfDfoP2L6plMhMug\\u002fOQunxNss6D\\u002fnp\\u002fDkrSfoP1AkK7aYIug\\u002fN9aSMZwd6D+Bh1wttxjoP6DbLUfnE+g\\u002fyfRc1CgP6D+ItY3YdgroP8btIgPLBeg\\u002fMUHWsx0B6D8wX6MGZvznPy8LC+eZ9+c\\u002f2lyJKq7y5z+kcfGxlu3nP8d2OJFG6Oc\\u002fwGkTPbDi5z\\u002f9E6e9xdznP\\u002fV5aeV41uc\\u002fD\\u002f43i7vP5z85iI7Gf8jnP+qzuiy4wOc\\u002f4c\\u002faDVi45z8ftXOwU6\\u002fnPzBXaoqgpec\\u002f4Xo2djWb5z94ITPjCpDnPy2pBgAbhOc\\u002fOAU43mF35z\\u002fPMieO3WnnP6+MxDKOW+c\\u002frAqMDHZM5z\\u002fv9nV7mTznP3A5vff+K+c\\u002fqAmLAa8a5z\\u002fqk8cHtAjnPzjafUYa9uY\\u002fqsttne\\u002fi5j+8MZFfQ8\\u002fmP6W+fRwmu+Y\\u002fN1yvZKmm5j+pF+GJ35HmP1MNsFzbfOY\\u002fIAbS6K9n5j9yuzAxcFLmP0O5Ou0uPeY\\u002fDZmzSP4n5j9L8T6n7xLmP9omzGwT\\u002fuU\\u002fIcPty3jp5T9lpQWbLdXlP1QWCTE+weU\\u002fwEh1SrWt5T9rIt\\u002f2m5rlP0NCWY\\u002f5h+U\\u002fvDm6tdN15T+d6JtcLmTlP978vNcLU+U\\u002ffdQ\\u002f9GxC5T9TbxcYUTLlP5m3zGe2IuU\\u002fCwWl8ZkT5T+1IRfd9wTlP63bZp3L9uQ\\u002f0c0wJhDp5D8b0aggwNvkP7+dTSDWzuQ\\u002f1X\\u002fb1UzC5D9JdlY\\u002fH7bkP1g\\u002fGdRIquQ\\u002fhjnyq8We5D8f8XegkpPkP2zp5GetiOQ\\u002fD8bzqBR+5D9scmEHyHPkP4sz6SjIaeQ\\u002fP529shZg5D8\\u002fErA\\u002ftlbkP46tZU+qTeQ\\u002fRiMjL\\u002fdE5D+6TuDcoTzkP8vXduWvNOQ\\u002fEs3cPict5D92j3MfDibkP3twhNNqH+Q\\u002fF4UOkkMZ5D+sNgxSnhPkP8f3UqGADuQ\\u002fAFEkfu8J5D91g3U07wXkP6Sw2j+DAuQ\\u002fn2vkMq7\\u002f4z9Ehpukcf3jP7yunyTO++M\\u002fHPdCNsP64z\\u002fEsM9ST\\u002frjP7Eu+PJv+uM\\u002fRiJCnyH74z8kchIHYPzjP4u50x0m\\u002fuM\\u002fPhKKPW4A5D9nWQNOMgPkP0GgtO9rBuQ\\u002fSqg8qRQK5D+twXAWJg7kP9uTzReaEuQ\\u002f+Y0gAWsX5D+PF0HGkxzkP9YLuiQQIuQ\\u002fgF9Uydwn5D9Opopw9y3kPyz+CQFfNOQ\\u002fWAOHnxM75D9+EVS7FkLkP1JRUBNrSeQ\\u002fXuzzshRR5D9QLWznGFnkP6Q86Sx+YeQ\\u002fXXZtFExq5D8y85oii3PkP7XBJahEfeQ\\u002fwXm3lIKH5D+bazJFT5LkPyfjXk61neQ\\u002fpCkjRb+p5D\\u002fimHaFd7bkP3LXSPnnw+Q\\u002faAOY4BnS5D\\u002fGIOubFeHkPzC0WXri8OQ\\u002f71Y2jIYB5T+ouFh7BhPlP1CH5GllJeU\\u002fWc9G2KQ45T89a\\u002fuSxEzlP0H2gKjCYeU\\u002feWy0Z5t35T8EOJ9mSY7lPyn2k5HFpeU\\u002fQshIQge+5T+yl3JeBNflP\\u002fRIPH2x8OU\\u002fDVfQEgIL5j9FhQuh6CXmP\\u002f\\u002fuVOxWQeY\\u002fOE6DMz5d5j\\u002f5Qalpj3nmP33ymnA7luY\\u002fc8X+UjOz5j+T28B8aNDmP52XzfDM7eY\\u002fSBcKe1ML5z8A1pnd7yjnP4EFnviWRuc\\u002frce86z5k5z98iuMw34HnP\\u002fVv369wn+c\\u002f4\\u002fCPyu285z+p1qFhUtrnPzI+6tGb9+c\\u002fVKOh6sgU6D+9C+Xc2THoP4FxBiXQTug\\u002fysNUbq5r6D+tjB5yeIjoP8D5x9Iypeg\\u002fqT3d8+LB6D\\u002fouhTQjt7oPzsAOc48++g\\u002fqFPxlfMX6T8VhFjluTTpP0s8RWiWUek\\u002fyY0Vko9u6T83Xrl6q4vpP112nb\\u002fvqOk\\u002fAdj7aGHG6T9\\u002fhPbTBOTpP63RwKHdAeo\\u002fkqn5q+4f6j+idjf+OT7qP+bepdTAXOo\\u002fMZt2n4N76j9UZ8oKgprqPy\\u002fqnQq7ueo\\u002f5hUx6izZ6j+oXk5e1fjqP1+TypmxGOs\\u002fyl+OY7446z9inXct+FjrP1STYitbees\\u002fyfSxaeOZ6z87hLfijLrrP11jbpJT2+s\\u002f6r0KiDP86z9zGfj0KB3sP9169zgwPuw\\u002fXhQo60Vf7D+Tid\\u002ffZoDsP29QUSuQoew\\u002fvoseIb\\u002fC7D\\u002fWNQBR8ePsP+Lo04AkBe0\\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0c6qzHgP7Z8SESJJOA\\u002fH+6W5HAX4D8JLMu2XArgP9Cnjd+O+t8\\u002fFm6E+1fg3z+O0oFNC8bfP2ykP0mgq98\\u002f970DfA+R3z8\\u002fU++2UnbfPyZ+szBlW98\\u002f8LjXnUNA3z\\u002fNXAE\\u002f7CTfP+nY8OReCd8\\u002flVQw6pzt3j+s6LUiqdHeP0O5\\u002f8GHtd4\\u002fnzRwOD6Z3j9I7+oI03zePzeE5ZdNYN4\\u002fqURK9bVD3j8uTauiFCfeP+H9WldyCt4\\u002fmlQKxNft3T8hBY5XTdHdP+96YAbbtN0\\u002f24JhFoiY3T8a2jTwWnzdP8EnePdYYN0\\u002fkxfYaoZE3T\\u002fhutRM5ijdPyF6yFV6Dd0\\u002fPmKE70Ly3D+nIpI6P9fcP6Fr6RxtvNw\\u002fNz6lWcmh3D+O4gexT4fcP\\u002fw04wf7bNw\\u002fwEhIlcVS3D\\u002fiUDYVqTjcP7ts3v6eHtw\\u002fsj\\u002f5vKAE3D9Ywpzmp+rbP7zZ\\u002fHau0Ns\\u002f2w6IAq+22z9VCuPnpJzbP7DKYHuMgts\\u002fzy66K2No2z+JbPSeJ07bP209msbZM9s\\u002f+JSl6noZ2z\\u002fuF7aqDf\\u002faP9eucfWV5No\\u002fGsMu9hjK2j\\u002fpTEn5nK\\u002faPzsew0cpldo\\u002fZTML+8V62j+\\u002fuf3Je2DaP4KTXdBTRto\\u002f6i4vUlcs2j9wjHp8jxLaPyCJDiUF+dk\\u002f\\u002fGXpisDf2T\\u002fF0OkYycbZPxJoYCwlrtk\\u002fEBME4dmV2T92Hazj6n3ZP5uTCk1aZtk\\u002fReRwhShP2T9bgHEyVDjZP7tt9C7aIdk\\u002fVAsUjrUL2T\\u002fmMNSo3\\u002fXYP90PgjZQ4Ng\\u002fc25Ib\\u002f3K2D\\u002fjq0M43LXYP8MGJVjgoNg\\u002ftlk+s\\u002fyL2D8WQ6CNI3fYP3GczdFGYtg\\u002fMTtpWlhN2D9P6C49SjjYPxHOfhUPI9g\\u002fwoTDTJoN2D8uYgZf4PfXP95zGxrX4dc\\u002fFQ3u1XXL1z+STJ+ktbTXPwdzWHmRndc\\u002f7iLqRAaG1z+FVY4HE27XP2B8Y9e4Vdc\\u002ffVl62\\u002fo81z9E9JM73iPXP6AS8ARqCtc\\u002fkinNBKfw1j9lRHeZn9bWP7Z7+npfvNY\\u002fg\\u002fO9fPOh1j9p1XRJaYfWP9Vr8hrPbNY\\u002fnq2EbzNS1j\\u002fisYS+pDfWP1Rxzi0xHdY\\u002f3enISeYC1j9zdZXB0OjVP3Vo4Sj8ztU\\u002fnJKwwHK11T\\u002fa+EpIPZzVP64pRddig9U\\u002fwDBiwehq1T9DztGE0lLVPwquDsMhO9U\\u002fGHNgRNYj1T8YEMYF7gzVPwmcz1Bl9tQ\\u002fLA613Dbg1D8Ma8L3W8rUPwMoA7jMtNQ\\u002fP\\u002fTuMYCf1D+YkLqzbIrUP4eX2AOIddQ\\u002f64Eoocdg1D9EDU4DIUzUP3dtsNmJN9Q\\u002f0CavR\\u002fgi1D80mrEcYw7UPwqH1QbC+dM\\u002ffjEnvw3l0z\\u002f2bXouQNDTPyljLYpUu9M\\u002fiBVTaEem0z8va\\u002fvKFpHTP1DfhiLCe9M\\u002fcC4sR0pm0z\\u002fhdgxqsVDTP2dPZf76OtM\\u002fV\\u002fGemysl0z9JrR3ZSA\\u002fTP1eC4CRZ+dI\\u002fJhUSlmPj0j+G0sS8b83SP71kHnCFt9I\\u002fRZo5nKyh0j\\u002fTgQAR7YvSP1gNM1NOdtI\\u002fO4G5cNdg0j8K7UXZjkvSP\\u002fC+JTx6NtI\\u002ftyf9a54h0j+GkfpI\\u002fwzSP4EQ4rGf+NE\\u002fs6wgfIHk0T+T++ZypdDRP1bzGl0LvdE\\u002fs3bDCbKp0T\\u002f\\u002f7WVil5bRP6R0qIK4g9E\\u002fG5pq1BFx0T\\u002fvQmwvn17RP4J4hvtbTNE\\u002f5l5tVEM60T\\u002fUVu0tUCjRP7+Wl3d9FtE\\u002fJhncPsYE0T9OTJ\\u002fOJfPQP07xcMuX4dA\\u002fs2CmSxjQ0D8qILzqo77QP\\u002f1kiNc3rdA\\u002flrfw3NGb0D+kTP9kcIrQP1ikX3YSedA\\u002fF2h0rLdn0D9eKWEqYFbQP1h3iIkMRdA\\u002ff7AgxL0z0D+6G58cdSLQP7ti0AI0EdA\\u002f37sN7\\u002ff\\u002fzz9XjqPfnN3PPzYraHFZu88\\u002fkLqcuC+Zzz9cWMkSIXfPP82QMPwtVc8\\u002fssQr7VUzzz8IurdAlxHPP+oYNSXv784\\u002fVzMVmFnOzj9iSdps0azOP8+vfV9Qi84\\u002fxSD4Mc9pzj+JaVPURUjOP4TjWparJs4\\u002fu\\u002f2zYfcEzj81muP6H+PNP4cZikccwc0\\u002fHkXwl+OezT\\u002fpOdzxbXzNP30UkFq0Wc0\\u002fxBjNHbE2zT+PuL0PYBPNP+wmv8e+78w\\u002fWpwn0szLzD+4TFjXi6fMP6saqLb\\u002fgsw\\u002fKuL8ky5ezD8C8TrXIDnMPyz2Ch3hE8w\\u002fiiHUGHzuyz\\u002fcBihoAMnLP+2uPVh+o8s\\u002fT6x2ngd+yz+xo0EFr1jLPwE9\\u002fw6IM8s\\u002fZsnWkKYOyz8jKaVHHurKP\\u002f8MYWkCxso\\u002fEjpyNWWiyj9PB42GV3\\u002fKPxlKp2joXMo\\u002fdhWQtSQ7yj8WP5i6FhrKPwMZj+nF+ck\\u002fHSoelzbayT+KKUnIabvJPw2+hhBdnck\\u002ff1qMgQqAyT\\u002fVI4ataGPJP2JnDbxqR8k\\u002fWTLHkQAsyT9mjysKFxHJP3RJj0KY9sg\\u002fE0Qo9WvcyD8ZxWnid8LIP8aexEagqMg\\u002fjuOQWsiOyD\\u002fyUq3Z0nTIP+lMNZCiWsg\\u002f1dCR6RpAyD+kbR1\\u002fICXIPxRUlqOZCcg\\u002fBcSs6G7txz8OTB6ci9DHPwXX\\u002fjnessc\\u002fHB0O0liUxz8pIEFe8XTHP9Eh+giiVMc\\u002fQuzDYWkzxz9AH8V\\u002fShHHP40vgxFN7sY\\u002fJIHwWX3Kxj8VJSMb7KXGP0X6b2+ugMY\\u002fChT+kd1axj8zWDaYljTGP+Z5uR36DcY\\u002f4VDB5CvnxT\\u002fF1wBtUsDFPwn3NoOWmcU\\u002fHy+7yyJzxT+nAVBKI03FP7DffenEJ8U\\u002fTu6iAzUDxT9cA8HvoN\\u002fEP64G5ZM1vcQ\\u002fwtrK\\u002fh6cxD+OyCAKiHzEP4QChwaaXsQ\\u002fujAdcnxCxD80MCO6VCjEP0xd5QdGEMQ\\u002fZ\\u002f3hGHH6wz8Tmc4h9ObDP9Q547vq1cM\\u002fzR6Y223Hwz+QDtLPk7vDPwcRU0hwssM\\u002f5O0pYhSswz8ezMq4jqjDP+zzdnrrp8M\\u002f\\u002f9CgfjSqwz9fdQtdca\\u002fDPwovgYSnt8M\\u002fujwiUNrCwz\\u002fO6nkaC9HDP63Zu0054sM\\u002fOSLDcGL2wz8zm6cwgg3EP27C+GaSJ8Q\\u002f48DnHItExD\\u002fBxuCLYmTEPwO8RRwNh8Q\\u002f7VAnY32sxD+6WvwfpNTEP+HecDtw\\u002f8Q\\u002fTkJ1yM4sxT+gF7oIq1zFP9KqvXXujsU\\u002f3qp9z4DDxT8IisExSPrFP7IKyjApM8Y\\u002fkPQA\\u002fgZuxj+SYgqVw6rGP0oWWfE\\u002f6cY\\u002fxn4iTFwpxz\\u002fjqkdi+GrHPyg3gMHzrcc\\u002fgqLNGy7yxz+abvqfhzfIP9Yrq1Xhfcg\\u002fNAZSex3FyD9MaynkHw3JP+iLOVTOVck\\u002fGyBY2BCfyT\\u002fL+AoY0ujJPzA0PZ\\u002f\\u002fMso\\u002fCbDMHYp9yj+CchmbZcjKP23L8puJE8s\\u002ftPd8OfFeyz+85fQnm6rLP52\\u002fjKyJ9ss\\u002fYDH5gcJCzD8\\u002f2KqrTo\\u002fMP6p7Fjg63Mw\\u002f+B\\u002fX8pMpzT8yANwHbXfNP7FpN5nYxc0\\u002f4Kd\\u002fSesUzj\\u002fvKAa9umTOP71vcBRdtc4\\u002fQCR4Y+gGzz9W2sEmclnPP61807sOrc8\\u002fX1Idb+gA0D8x73OW5CvQPynhUt2CV9A\\u002fOBgx1siD0D\\u002fTx95zurDQPzh\\u002fAOpZ3tA\\u002fRjudl6cM0T9fjmf8oTvRP1ZULblFa9E\\u002fo+KYm42b0T+osCu1cszRP7upFn3s\\u002fdE\\u002fX1FR\\u002fPAv0j\\u002fKPhADdWLSP8vNfmZsldI\\u002fu8BoRcrI0j\\u002fnYFBSgfzSP4OzRSGEMNM\\u002fTLu0d8Vk0z+TWEycOJnTP5TfFaXRzdM\\u002fsFDXwYUC1D+ucOeASzfUP9OqswwbbNQ\\u002fYEtbYO6g1D8+lvFxwdXUPy+VL1GSCtU\\u002fhBGeOWE\\u002f1T+Eo4aXMHTVP\\u002fWNRv8EqdU\\u002fUoftFuXd1T9G0WNy2RLWP3gupGLsR9Y\\u002fnYHluCl91j+iRdt+nrLWP3zKeaVY6NY\\u002f\\u002foTpq2Ye1z+iNIpA11TXP1TTEd64i9c\\u002fZQTzZhnD1z+4LUrBBfvXP2ztlnWJM9g\\u002f3uyAUq5s2D8HINMXfKbYP6idtyr44Ng\\u002foAQRVSUc2T9pt5WRA1jZP8pKDuaPlNk\\u002fZb3MTMTR2T+VGB+ulw\\u002faP6\\u002fCJ+r9Tdo\\u002fFBAq8+eM2j9hjPz3Q8zaP\\u002f8s9p39C9s\\u002fXDhSSf5L2z\\u002fUP7JyLYzbP8YMGAhxzNs\\u002fEqNs160M3D\\u002f5JG8AyEzcP5HZt2ujjNw\\u002fKgFaRCTM3D8fWptxLwvdP6rLMg6rSd0\\u002fY8+I2n6H3T8LyYunlMTdPxgW0LfYAN4\\u002fK2\\u002fmFDo83j+mLxLXqnbeP9DV0l0gsN4\\u002fT\\u002fcGeJPo3j8CHsl6ACDfP+qJhkZnVt8\\u002f\\u002fYIyOsuL3z8HhdwUM8DfPwnaUcao898\\u002fGfrolxwT4D+L7xrr+SvgP3cynkN1ROA\\u002fphj6eZhc4D8q0jwhbnTgP03ptkwBjOA\\u002fYBvXU12j4D+5D3SVjbrgP9W20zud0eA\\u002fVtW6Apfo4D+BjMIAhf\\u002fgP8zcHXVwFuE\\u002f9ZzemmEt4T9vzKiCX0ThP8xBnfNvW+E\\u002fYl4aVJdy4T+TnsOa2InhP7iiEEg1oeE\\u002fTcFyaK244T8kfe6eP9DhP4d91Tfp5+E\\u002feQAfQ6b\\u002f4T8FQ7G1cRfiPzIGx5BFL+I\\u002fbw56DhtH4j\\u002fdBV\\u002fS6l7iP\\u002fwqCR2tduI\\u002fMis9AVqO4j9BxJKZ6aXiP9lyRD1UveI\\u002f6ojzspLU4j\\u002fiUjVgnuviPxkc03RxAuM\\u002fKWLCEAcZ4z9ttPtjWy\\u002fjPyjIfMdrReM\\u002fSFDszjZb4z8AI4NSvHDjP2IcDXH9heM\\u002frN0Divya4z9n5vQvva\\u002fjP690khNExOM\\u002fzwj655bY4z+6VONAvOzjP93ejWu7AOQ\\u002fs99hQ5wU5D9nNFEDZyjkPxQbFxUkPOQ\\u002fZWyA39tP5D9+8OmUlmPkP7E1HwNcd+Q\\u002fkBK6ZTOL5D\\u002fEAxI8I5\\u002fkP2RPsyMxs+Q\\u002fj9w4uGHH5D9DskF5uNvkP+LvFLc38OQ\\u002fcLNdhuAE5T9uyzy7shnlP7tNweusLuU\\u002fnEysecxD5T+3+TejDVnlP4KccJprbuU\\u002fMdWGouCD5T85m18yZpnlPz0TiBv1ruU\\u002fvmiatIXE5T+Z3A0GENrlP32eX\\u002fiL7+U\\u002fVQl8gvEE5j+PmFDXOBrmP79PdpFaL+Y\\u002fiiHy209E5j9DwxyXElnmP4bD3HidbeY\\u002fPAR8J+yB5j\\u002fQH4RO+5XmP\\u002fjrMq3IqeY\\u002f\\u002fEdAHlO95j9ru9eYmtDmP6MU0iqg4+Y\\u002f1Dhk7GX25j8xsJ\\u002ft7gjnP2s9Rh4\\u002fG+c\\u002flR6TMFst5z\\u002fiqrl3SD\\u002fnP3sw8cIMUec\\u002f6LX4Na5i5z9zKwogM3TnP4NoO9Khhec\\u002fNetLdgCX5z+dwdjmVKjnP\\u002fh95Imkuec\\u002f5\\u002fCPLvTK5z+YGMruR9znPw3aohWj7ec\\u002f4mfNCgj\\u002f5z\\u002fder1DeBDoPzWPpjr0Ieg\\u002fwyF\\u002fa3sz6D9+VARXDEXoP91ilYukVug\\u002fLMyas0Bo6D+28Aup3HnoPz\\u002fZh41zi+g\\u002fw7Vb5v+c6D8P6ru7e67oP5q5Y7rgv+g\\u002fxCzEVijR6D+o1uTwS+LoPwHLGPhE8+g\\u002fTUOvDQ0E6T\\u002f\\u002f+dElnhTpP87G0qXyJOk\\u002f7RY+fwU16T\\u002fm4B9H0kTpPxsGBElVVOk\\u002fx\\u002fJYlYtj6T\\u002fw6\\u002foKc3LpPz0Dz1sKgek\\u002fjz11DFGP6T9WRDlvR53pP0goh5ruquk\\u002fX4lFW0i46T9VMo8jV8XpP5NAW\\u002fYd0uk\\u002fKcqzUKDe6T8NNycR4urpPyDtJ17n9uk\\u002fbFsQjLQC6j+k434DTg7qP5S3tSi4Geo\\u002fGsKeRPck6j\\u002fYfgNwDzDqP0a7dIEEO+o\\u002fBDRH\\u002ftlF6j96iPAOk1DqP8HP9HYyW+o\\u002fE\\u002fx4kLpl6j8M+3FLLXDqP5jqTDCMeuo\\u002f+5bSZdiE6j\\u002fAffC5Eo\\u002fqP\\u002fJy\\u002fKw7meo\\u002fHFT2flOj6j\\u002f9cj0+Wq3qP1PrJddPt+o\\u002f5zPVIzTB6j+eCc37BsvqP1ZTkELI1Oo\\u002faK7W9Hfe6j\\u002far9AzFujqP3YsEE6j8eo\\u002fq4m8xR\\u002f76j\\u002fImNJTjATrP\\u002fkgSejpDes\\u002f\"},\"z\":{\"dtype\":\"f8\",\"bdata\":\"d73RQGkIxr9azhbtNJDFv14FjyozGMW\\u002fx9CqGFmgxL\\u002fphocvmSjEv3Zywk7jsMO\\u002fGFdF4SQ5w79o49UVScHCv6Rloys5ScK\\u002fzmGC0dzQwb+N5P+VGljBv0QN+mXY3sC\\u002fDor7FvxkwL9NOW\\u002f019S\\u002fv6OvbOke3r6\\u002f0qQOMp\\u002flvb8tm1t9L+u8v77x2ias7ru\\u002fdYZWRfjvur+UN3Se\\u002fu65v1NPT3iy67i\\u002fxV\\u002ffQhDmt79BfskTHt62v9vLLfDr07W\\u002f4XwY4ZPHtL8E82zQObmzv9ccZC0LqbK\\u002fGr0FWT6Xsb\\u002fTq1bcEYSwv8sgidaW366\\u002fk+0zcW21rL+MRuhASIqqv9lXjl\\u002fOXqi\\u002feHHbIKozpr9BSxTEhQmkv2+OMhEI4aG\\u002fjdL956F1n7\\u002fnDy5Q7C6bv3qKnBEA75a\\u002fZbe+Ls22kr+xGfgjOw6Nv\\u002ffEFLQgwYS\\u002fQZU7zlcOeb8J7U3HaINhvwgvQzvzjV0\\u002fTSpglOJhdz8vXEwbe52DP8y6SWl\\u002feIs\\u002fVxBGGcKhkT84j6isNYCVPzKXEBK1WJk\\u002fDh9ben8snT81n4RaeX6gPyw9CUvCZaI\\u002f9nHr6d1MpD9\\u002fQ\\u002flBlDSmP9IsIjCuHag\\u002fgAyRf\\u002fEIqj968TEVHferP4d+U0Dl6K0\\u002fPvhuRfDerz8+ZYCb6eywP1NNYZcH7bE\\u002feerHewfwsj8ZU+iaEvazP1ZHwYxF\\u002f7Q\\u002fWS300K8Ltj8eJtO7Uxu3PzmJUq8mLrg\\u002fWSLNnhFEuT9wxc3a8Vy6PyVUXyCaeLs\\u002fcRTI5dOWvD\\u002fp1RfdYLe9P5XOmqP82b4\\u002fxoUdlF7+vz873H\\u002fYHZLAP85yMU2kJcE\\u002fPegowp25wT\\u002fbAUoQ503CP9V9\\u002frdf4sI\\u002fESC1t+p2wz8qfKZKbwvEPwW1w4rZn8Q\\u002f0nBI8Ro0xT8aZRqyKsjFP9KE6u4FXMY\\u002fi9Tpv6\\u002fvxj9Yh9EQMYPHP9899lGYFsg\\u002fM7Yb\\u002fvipyD+\\u002fbrv2aj3JP7kmaLkJ0ck\\u002fzEjkcfNkyj+56FztR\\u002fnKP\\u002fkbAXQnjss\\u002fN5XZjrEjzD8Qi1LAA7rMP0K0VjY4Uc0\\u002fANkifWTpzT80Nxw6mILOP1Se7\\u002fXbHM8\\u002fuHET\\u002fS+4zz+1G7quRSrQP1WzzYPteNA\\u002fX32CjADI0D9fbk4qahfRP4CUwuYPZ9E\\u002fk\\u002fuqY9G20T9\\u002ftgFniAbSPzllQgMJVtI\\u002fLiwe3CGl0j+gPwGHnPPSP3jRTQY+QdM\\u002fwkKnXceN0z8wxyY99tjTP+zf2sCFItQ\\u002fCq2HQS9q1D+DTkEzq6\\u002fUP0hSLQ6y8tQ\\u002fGxN+Pf0y1T8EKpQQSHDVP\\u002fB4H6pQqtU\\u002fg0Yb6djg1T\\u002fdWJdHpxPWPzCFaquHQtY\\u002f9OUoJUxt1j9NmQeazZPWP3Put1XstdY\\u002fbk+ygZDT1j\\u002fdweN\\u002fquzWP1YTNSczAdc\\u002f9QLu4CsR1z91MYamnhzXP4N1BuCdI9c\\u002fA4esI0Qm1z9+9Q3YsyTXPz1Ye7oWH9c\\u002fPw3fS50V1z8rWsEmfgjXP+VIfEH19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fcXwAASfg5T\\u002fgh3M2yd3lP1fHc\\u002f5P2+U\\u002f0MLbY7rY5T8GLH+uB9blP\\u002fr8f2U30+U\\u002fU6\\u002fBUEnQ5T9Kx395Pc3lP3HNDyoUyuU\\u002fLE7Z7M3G5T+Gh5CKa8PlP6oUwgfuv+U\\u002f7iO\\u002foVa85T9fnfrKprjlP\\u002fca6CbgtOU\\u002fhLpthQSx5T91rfndFa3lPwAJTEoWqeU\\u002fcsQEAQil5T8QGgVQ7aDlP7KqspbInOU\\u002f4eMpQJyY5T8FQ2y9apTlP80xln82kOU\\u002fG2cn8gGM5T\\u002fh+Wd1z4flP36t81ihg+U\\u002fD3J01nl\\u002f5T95oJQMW3vlPyoeMfpGd+U\\u002fBU7TeT9z5T8tfXo9Rm\\u002flP+ZMvMpca+U\\u002fQ3FDd4Rn5T827rNlvmPlP7nC+4ILYOU\\u002fu6UWhGxc5T\\u002fhEUvk4VjlP5xX5uNrVeU\\u002f3sJ8hwpS5T8ZD7KXvU7lP09ojaGES+U\\u002fHxFb915I5T9LdhyyS0XlPxsDhrNJQuU\\u002f7HOIqFc\\u002f5T\\u002fTs2EMdDzlP9KPLyydOeU\\u002fUL38KtE25T\\u002fK5j4GDjTlPw2xuppRMeU\\u002fNgHBqZku5T9KQ7fe4yvlPzQT29QtKeU\\u002fTYIwHXUm5T+USIlEtyPlPxWMktnxIOU\\u002fwY3WciIe5T8Tf5+0RhvlP8oHqVZcGOU\\u002fEpeOKWEV5T8JfeUbUxLlPxj08j4wD+U\\u002fX6\\u002fvyvYL5T9VK8wipQjlP5bWatc5BeU\\u002fDihHqrMB5T\\u002fjz4KPEf7kP3NXVK9S+uQ\\u002f+6rUZnb25D8WIytIfPLkP7anGRpk7uQ\\u002fWWbs1i3q5D8LStKq2eXkP+ripPFn4eQ\\u002f7K8nNNnc5D+iw8ckLtjkP6+B5Ztn0+Q\\u002fObeyk4bO5D+1l68jjMnkP\\u002fk00Xt5xOQ\\u002f8eRb30+\\u002f5D8BunufELrkP\\u002fbEpBW9tOQ\\u002fBFfEnVav5D8U8EuQ3qnkP+4AHjxWpOQ\\u002fSTRk4L6e5D+jmFamGZnkPyrT+ppnk+Q\\u002f8IDiqKmN5D8pH\\u002fCR4IfkPwJCKukMguQ\\u002fCI2lDC985D9WyI4fR3bkP1GOXwRVcOQ\\u002fMWBJV1hq5D\\u002fYauRoUGTkPwbcMDk8XuQ\\u002fBkz7chpY5D+vX7Zn6VHkPwJP3QunS+Q\\u002f0Fr081BF5D\\u002fPWD1S5D7kPw9HN\\u002fVdOOQ\\u002fYDcAR7ox5D+0x7BN9SrkPwm0x6wKJOQ\\u002fHMu6p\\u002fUc5D\\u002fppcAlsRXkPwPs47Y3DuQ\\u002fw6htmoMG5D9SQbDGjv7jP5IAOPJS9uM\\u002f+fZgnsnt4z9CLEwj7OTjP8bqJ72z2+M\\u002fll24mhnS4z8j8AbtFsjjP6\\u002f7F\\u002fikveM\\u002fLnp\\u002fJL2y4z8n1qYRWafjP8muj6hym+M\\u002fwK7ZLgSP4z9hjsxZCILjP4EsI2F6dOM\\u002fq3pREVZm4z8m6vzcl1fjP+QzXu08SOM\\u002f8NRDMUM44z\\u002fgem5qqSfjP5TqAzlvFuM\\u002fU6jZJJUE4z\\u002fPyl6kHPLiP8Tf8yAI3+I\\u002fdoWI+FrL4j89PGB8GbfiP3rO6uxIouI\\u002fM1aocu+M4j+cKR0UFHfiP1Ka5qi+YOI\\u002fhDcOyvdJ4j9O6cW\\u002fyDLiPwuBw2w7G+I\\u002fCfx9N1oD4j8BdJnxL+vhPytT2L3H0uE\\u002fz5\\u002fw9Cy64T+i36oJa6HhP30BtWyNiOE\\u002fjMaWcJ9v4T+ILzYurFbhP4ZtWWq+PeE\\u002f5LiQfOAk4T8mQu03HAzhPzs+49V68+A\\u002fofar4wTb4D\\u002fN6nEywsLgP9WmhMq5quA\\u002fTDHE4fGS4D8OH2XVb3vgPyS+Hic4ZOA\\u002fi7DEfU5N4D+uET2ptTbgP8ExtKlvIOA\\u002f32bfuX0K4D8phSO4wOnfP2Tkr9Muv98\\u002fS\\u002fyIS0SV3z8OiRae\\u002fmvfP1dPBW1aQ98\\u002fRF01qVMb3z8wzay\\u002f5fPeP0+apMYLzd4\\u002fMu3GqcCm3j\\u002fyAr1U\\u002f4DeP25RNtvCW94\\u002fYZqinQY33j8P5OxpxhLeP1BinZf+7t0\\u002fXbfjHqzL3T+MAimqzKjdP0xP6aFeht0\\u002f\\u002f2a1MmFk3T92FWBN1ELdPwzRe6G4Id0\\u002fbK5ukg8B3T881YEn2+DcP1CUbvcdwdw\\u002fmRYFENuh3D8c9J7aFYPcP\\u002fDuIf7RZNw\\u002fYKdkPxNH3D\\u002f0ps9g3SncP1CSGAI0Ddw\\u002fkI3zgBrx2z+R4Y\\u002fbk9XbP3XqqJWiuts\\u002fBYDjoEig2z\\u002fSyRpJh4bbP6c+JiVfbds\\u002fBv+FDNBU2z\\u002fAdkMS2TzbP4\\u002fwMoV4Jds\\u002fRFKg9asO2z+VXU5AcPjaP\\u002fJljZ7B4to\\u002fDEANu5vN2j82Eu\\u002fK+bjaP\\u002fZbf6rWpNo\\u002fubzn\\u002fCyR2j+CURNO933aP5B28DUwa9o\\u002fjMIvfNJY2j9odpo72UbaP4aTGgRANdo\\u002fy1eU+gIk2j\\u002fh9rv1HhPaP\\u002fXKIpeRAto\\u002feZfMX1ny2T+rVre\\u002fdeLZP\\u002fXc3R\\u002fn0tk\\u002fCbJe5q7D2T8mGJR0z7TZP52GDx9Mptk\\u002fG\\u002fmQHymY2T9XgjiBa4rZP8GiVQcZfdk\\u002fPRhbDzhw2T+\\u002fVp5uz2PZP\\u002ffPpkzmV9k\\u002fWuPp+oNM2T\\u002f4IuTKr0HZP\\u002fD\\u002fjuNwN9k\\u002froY6F84t2T91TtW6zSTZP6H\\u002fqH91HNk\\u002fANiHUMoU2T++hlcz0A3ZPzzgzy+KB9k\\u002fOLkoPPoB2T+xOVIwIf3YP7jcLsD++Ng\\u002fat0efZH12D8W5ALf1vLYPxRJsFTL8Ng\\u002fZjSlW2rv2D\\u002ffO5+eru7YP9TmjBqS7tg\\u002fpqgqSQ7v2D82XndQHPDYPwUFDDa18dg\\u002fzANHFdLz2D9XniVXbPbYP3Ghlup9+dg\\u002fdV8IfAH92D\\u002fSAvKq8gDZP5kmHTxOBdk\\u002fc4aARxIK2T+UPY9gPg\\u002fZPxYf+bfTFNk\\u002f1Lb3NdUa2T9s1GeMRyHZPwdpGEAxKNk\\u002fexzkqJov2T99YlrojTfZP2sB7tYWQNk\\u002fB9\\u002fQ50JJ2T86btYDIVPZP2k25lvBXdk\\u002fy5O1MzVp2T9WAqqljnXZP44Y62Dggtk\\u002fk\\u002ffLYj2R2T9Gq86suKDZP2sqmPhksdk\\u002fHOg4a1TD2T+a6TNJmNbZP6fyrKxA69k\\u002f1ZsdP1wB2j8NOOH39xjaP2+n0OAeMto\\u002fBhIK4tlM2j+Cot2VL2naPxV5sCUkh9o\\u002frwh7MLmm2j8c1li77cfaP\\u002fUibiy+6to\\u002fIXg1UCQP2z8RVxRpFzXbP\\u002fmn5EiMXNs\\u002fpcrwc3WF2z9ggbNMw6\\u002fbP8IlhEdk29s\\u002f340zJUUI3D82bn8zUTbcP0d1KZJyZdw\\u002fYUdte5KV3D8tNoWOmcbcP6sz6Rpw+Nw\\u002fxRT2av4q3T9TlrQMLV7dP0Rxhxflkd0\\u002fb7GdbRDG3T9V5CH4mfrdP8DkPt1tL94\\u002ffD03r3lk3j9vgfOTrJneP2CclWT3zt4\\u002f4BfKxEwE3z\\u002fOo7sxoTnfP\\u002f7stwjrbt8\\u002fQAe+hSKk3z+jhlW6QdnfPyOImD4iB+A\\u002f\\u002f3ifKZQh4D+YzXIp9jvgPxYQIIFIVuA\\u002fo\\u002fOfGIxw4D\\u002fsAVJoworgP6s7XmPtpOA\\u002fTdN3YQ+\\u002f4D95dnkIK9ngP85UTjZD8+A\\u002fP2mT61oN4T+1xVI3dSfhP50HLySVQeE\\u002fewlIp71b4T88thOR8XXhP2T4VoAzkOE\\u002fvX9b14Wq4T9x5G+z6sThP6rrsOZj3+E\\u002f7bUM9PL54T9qw2MNmRTiP0tEoBNXL+I\\u002ff1uSmC1K4j9HA1jiHGXiP8NGEfAkgOI\\u002fdpqdf0Wb4j9kSx0UfrbiPzE88vzN0eI\\u002f+V79XDTt4j+fa9oxsAjjPw4G4VpAJOM\\u002fL6u5n+M\\u002f4z\\u002fXA122mFvjP1llXUhed+M\\u002fY\\u002f1j9zKT4z8OGdVgFa\\u002fjP3fVmCAEy+M\\u002f6v4O0\\u002f3m4z80rD0WAQPkPwj0UYoMH+Q\\u002fvrmQ0R475D88x9qPNlfkP\\u002fgX62lSc+Q\\u0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f51FS4j\\u002fjqA2zjUPiP4lm7vDkNOI\\u002fWOW+51Um4j\\u002f8LS543hfiP\\u002fHOwy98CeI\\u002fwS62XSz74T\\u002flFN8o7OzhPxumOKa43uE\\u002fmMBM747Q4T+9BgQ4bMLhP+HVSONNtOE\\u002f+qT8lTGm4T+uhMtHFZjhPyhUeVH3ieE\\u002fNEZWeNZ74T\\u002fGCpz2sW3hP6nWiYCJX+E\\u002fIQ0rRl1R4T908snxLUPhP58CJaP8NOE\\u002frcmR58om4T+670qvmhjhP0MjOEBuCuE\\u002fBEaNJkj84D9KaqojK+7gP0GIrxsa4OA\\u002fGS49AhjS4D90s97GJ8TgP3OgmkFMtuA\\u002fSBMjIIio4D+1GxrU3ZrgPzN31YJPjeA\\u002flBMC995\\u002f4D+tlHqUjXLgP7wmlU5cZeA\\u002fCZQcoUtY4D+8SxeMW0vgP6w9bZKLPuA\\u002fnJJru9ox4D\\u002fXzBOXRyXgP8IrE0XQGOA\\u002fhqsvfnIM4D+QAuqfKwDgP0\\u002fBD3Tx598\\u002frF9fO63P3z9GxG7bg7ffP9clhV9un98\\u002fKgOTu2WH3z91Y0TvYm\\u002ffP+91TihfV98\\u002fg9o441M\\u002f3z+CcPAJOyffP38Ogw8PD98\\u002f+3F4CMv23j9VcFS\\u002fat7eP79U6MTqxd4\\u002fCaw0fEit3j+90bghgpTePwCtKc6We94\\u002ft3ikdIZi3j\\u002fViozcUUneP941W5f6L94\\u002fqYe+8oIW3j99XHbn7fzdPzaabgU\\u002f490\\u002fTSWhXXrJ3T+OEVJqpK\\u002fdPweePPbBld0\\u002fjL1HA9h73T9eYlWx62HdP0WyuCUCSN0\\u002fTQHVcyAu3T+xUFqHSxTdP+uKhBCI+tw\\u002foUexctrg3D+AE421RsfcPxeVBXnQrdw\\u002ffPwZ7HqU3D\\u002fXho\\u002fGSHvcPzYCfUU8Ytw\\u002fFqaOKldJ3D+NstO9mjDcP6N12dEHGNw\\u002fE+bLyZ7\\u002f2z9mKkuhX+fbP49Kn\\u002fVJz9s\\u002fDgDwD1232z8HGCbwl5\\u002fbP60JHlj5h9s\\u002fdBbY1n9w2z9WQFnTKVnbP0ZR+Zb1Qds\\u002fIrrkVuEq2z+s06Q86xPbP96djW0R\\u002fdo\\u002foQr9EFLm2j\\u002fyxGRVq8\\u002faP33MI3Qbudo\\u002fl8lAtKCi2j9OSyBsOYzaP3TqWgLkddo\\u002fQUTe7Z5f2j94wIi1aEnaP7b1cu8\\u002fM9o\\u002fkzUaQCMd2j+6Vp5ZEQfaP9xPQfsI8dk\\u002fzMZR8Qjb2T\\u002fakqIVEMXZPwWhqFAdr9k\\u002fI\\u002fVOmy+Z2T+fDoYBRoPZP34eiaVfbdk\\u002fPKHIw3tX2T\\u002fVfF+3mUHZPzQU7v64K9k\\u002fNDeuQdkV2T+swotU+v\\u002fYP29uCD8c6tg\\u002fyeytPz\\u002fU2D\\u002fBSdDPY77YP76BY6aKqNg\\u002f6ZuqubSS2D\\u002f5JIw\\u002f43zYP++cX6wXZ9g\\u002fkhIRsFNR2D\\u002fOh4MxmTvYPy2CJ0jqJdg\\u002fawHJM0kQ2D97laZSuPrXPx8K8hU65dc\\u002f06Tp9NDP1z8a0cZef7rXP5jdy6tHpdc\\u002f56zFDSyQ1z+IlV+ALnvXP7XDrrlQZtc\\u002fJfteG5RR1z81Xuyk+TzXPw25VOeBKNc\\u002fsqqm+iwU1z9Q4M11+v\\u002fWP1OM8Wjp69Y\\u002fUHmtWvjX1j9x1l5IJcTWP8durKltsNY\\u002fhc1ed86c1j8UUog1RInWP03n5wDLddY\\u002fc3pbn15i1j80\\u002fSGT+k7WP9ZFmDCaO9Y\\u002fMQsJtjgo1j9rFBdl0RTWP1\\u002f7OZ1fAdY\\u002fNQe69t7t1T+XDo9dS9rVP9FMgSuhxtU\\u002fVN3pQN2y1T8nSnMb\\u002fZ7VP4RLQer+itU\\u002fl3bxnuF21T8l+vT6pGLVP0Bt1ZhJTtU\\u002fasAL8dA51T9FLChaPSXVPwD4IwSSENU\\u002fjpnR7tL71D+qXHzbBOfUPzvE5Tkt0tQ\\u002fCY3rEFK91D+c5DzjeajUPwRin5Crk9Q\\u002fXe5bNO5+1D9ddYABSWrUP4FhtB3DVdQ\\u002fLRZre2NB1D9dbki0MC3UP7hxj+QwGdQ\\u002fiMlyiGkF1D9G6xhc3\\u002fHTP1x\\u002fGz+W3tM\\u002fyGM6HJHL0z8fEufV0bjTP0eINThZptM\\u002ftZGk8CaU0z\\u002fYBxGMOYLTPyH1BnuOcNM\\u002fei6BHCJf0z\\u002frrgTP703TP4KU4QfyPNM\\u002fS9ZAcCIs0z9TcIQHehvTPxeaYErxCtM\\u002fjVz4XYD60j9GLC8+H+rSP9OlTO7F2dI\\u002fmqX\\u002fqmzJ0j\\u002f3GMMcDLnSPxNdoYmdqNI\\u002fQu5SBRuY0j+onrqef4fSP8FtzInHdtI\\u002fdzX8RPBl0j9MZWa5+FTSP\\u002fd9\\u002flThQ9I\\u002f7mcsHqwy0j9pdmLAXCHSPyY4WZH4D9I\\u002fmmHDjob+0T8mUHJUD+3RPx0TCgud29E\\u002fAbmJTzvK0T\\u002fOAxEU97jRP\\u002fLYbnrep9E\\u002fBQQjqQCX0T\\u002fbi5mbbYbRP6NVfe41dtE\\u002fQKUSqWpm0T\\u002fJzpcEHVfRPxXnsjJeSNE\\u002fxUL2Iz860T9jHINP0CzRPybfyXwhINE\\u002fP5FakEEU0T+X+6VcPgnRPx7teXck\\u002f9A\\u002ft9ToFP\\u002f10D\\u002fKiC\\u002fo1+3QP1AVDAu35tA\\u002fcJHW66Lg0D8LB4pCoNvQP+0tyAyy19A\\u002f7OK\\u002fkNnU0D8amLxmFtPQP6U5BYlm0tA\\u002f0c2TacbS0D+rBxUNMdTQP1CeiCqg1tA\\u002fZuXITgza0D8TMzIDbd7QP8FHmfa449A\\u002fJke7J+bp0D+Z3FEQ6vDQP9bA+s+5+NA\\u002ffs4qVkoB0T+lznGKkArRPy\\u002fEZHKBFNE\\u002fTj6YVBIf0T+blirYOCrRPwFadiDrNdE\\u002fTdye5B9C0T9Jb8OCzk7RP+JJwA7vW9E\\u002f3TR+XHpp0T8c+OoFanfRPw23y2y4hdE\\u002fvGyvuGCU0T+qGFrRXqPRP7mTEFavstE\\u002fiig5kk\\u002fC0T8Xwc1vPdLRP7qqIWh34tE\\u002fUp1+c\\u002fzy0T+x8Br4ywPSPz3p5bjlFNI\\u002fggifxEkm0j+gpaJl+DfSPzYnyRLySdI\\u002ftXWnYTdc0j9BIG\\u002f6yG7SP5Gzm42ngdI\\u002fw2yJy9OU0j\\u002fUPwBeTqjSP1CXreMXvNI\\u002fcrN37TDQ0j+riof9meTSP3He2YdT+dI\\u002feike9F0O0z+RWKKguSPTP7QJBeZmOdM\\u002fXW1lG2ZP0z8U1ceat2XTP8poaMVbfNM\\u002fdEC6B1OT0z8PA9jcnarTP7blM9E8wtM\\u002fkSRfhDDa0z8wcsypefLTP4r9fAgZC9Q\\u002fTieUeQ8k1D9xY9rlXT3UP0mpQ0IFV9Q\\u002fTdeYiwZx1D86NW3BYovUP\\u002fdzkeAaptQ\\u002fjO473S\\u002fB1D9+RiKdotzUP3qkwvFz+NQ\\u002fSNAak6QU1T9K\\u002fwgbNTHVPyCyjQEmTtU\\u002fqGkfmndr1T+jjTgSKonVP07ePXE9p9U\\u002fxn7QmbHF1T8hbpJMhuTVP7WEVyy7A9Y\\u002fVCSww08j1j\\u002f6Lq6LQ0PWP+\\u002fouPOVY9Y\\u002fM5Q5akaE1j\\u002fOLuFlVKXWP4MfQG+\\u002fxtY\\u002fGg1jKofo1j9W0yRgqwrXP3uu5AYsLdc\\u002fCF9RSglQ1z+MN\\u002f6RQ3PXP9asfYbbltc\\u002fW\\u002fnFFNK61z+ZeK9vKN\\u002fXP5tLaQ\\u002fgA9g\\u002f+D7Prvoo2D9\\u002fb5tGek7YP39dfgZhdNg\\u002f64U4TLGa2D94weCYbcHYP8USkoSY6Ng\\u002fpMLJsDQQ2T8WNsu5RDjZP1FoaSfLYNk\\u002f9gGeXcqJ2T9WX1uNRLPZP5U2CaY73dk\\u002fXtQaSLEH2j\\u002fO+Sm5pjLaPylP+tkcXto\\u002fjze\\u002fHhSK2j\\u002feyPCJjLbaP1UJ7amF49o\\u002fn7KQmf4Q2z8tBd8D9j7bPw0suypqbds\\u002fWNaf8Fic2z+1livlv8vbP1ncQlSc+9s\\u002ftpFzV+sr3D8eLjPpqVzcP9zifvnUjdw\\u002fZQVXg2m\\u002f3D+xaIOiZPHcP1JiBqnDI90\\u002fhA6gM4RW3T9HRMM8pIndP06sYS0ivd0\\u002fO5386vzw3T8xo3TiMyXeP+rCIQ\\u002fHWd4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02fpx793+SC0j\\u002fT3zUQIHHSP7Hnx7j8XtI\\u002fXD8MYH1M0j\\u002fM+dyzpjnSPzGULVF\\u002fJtI\\u002fc\\u002fzKfw8T0j9UqnjkYP\\u002fRP7f7yit+69E\\u002fXHY6sHLX0T\\u002fyVPcdSsPRP\\u002fTfABcQr9E\\u002fxuLw2c+a0T9F0Mntk4bRP\\u002fTs5tRlctE\\u002fnHXyyE1e0T9c13+BUkrRP2aEmQZ5NtE\\u002fXMU8kMQi0T9gQ2RzNg\\u002fRP\\u002f0k5hzO+9A\\u002fSLkOGono0D9vCYcuY9XQPxFkwXZWwtA\\u002fhQ\\u002fXlVuv0D9Cm3vtaZzQP8Jdbd53idA\\u002fzOKYD3t20D9ndf+5aGPQP3xFWPc1UNA\\u002f9FlYEdg80D\\u002fVo4\\u002fPRCnQPyjh2MFyFdA\\u002fbAN2hVkB0D8nPzUG5NnPP7zcsEhtsM8\\u002fpF87\\u002fkaGzz9ZinHsbFvPP7GQO5zeL88\\u002fedTwap8Dzz+8+ceCttbOPwqI5rouqc4\\u002fwfv+XxZ7zj+LSQDnfkzOP5XR4ot8Hc4\\u002fjE4Z3yXuzT+Tj5VEk77NP0BRpmfejs0\\u002fUmgzpyFfzT9pSgZ+dy\\u002fNP3gM3ur5\\u002f8w\\u002fN\\u002fwG3MHQzD\\u002fqcA+i5qHMP+FM\\u002fmx9c8w\\u002fB3Ql15hFzD+1QU2ASBjMP1FCiLuY68s\\u002f6wuDUZK\\u002fyz8OL55YOpTLP\\u002fhOkyOSacs\\u002fWw3WRpc\\u002fyz\\u002fGOlG0QxbLP2E+lOyN7co\\u002fy13\\u002fQ2nFyj9MugI6xp3KPzFxFuCSdso\\u002fofC0TbtPyj9TblUeKinKP1U8LfbIAso\\u002f7axcCoHcyT+s\\u002fB+pO7bJP+hypr7ij8k\\u002fwiJRU2FpyT+tgE4ApELJPxPezleZG8k\\u002fweFlPjL0yD\\u002fZ5pMzYszIP7YY5YcfpMg\\u002fwiuQf2N7yD+VjABhKlLIP\\u002fluPG9zKMg\\u002fufia0ED+xz+Ggb5il9PHP8dYP31+qMc\\u002fJ7fhpP98xz9hupIxJlHHP2Mouun+JMc\\u002f3UCvlZf4xj+qlEyO\\u002fsvGPxWkuElCn8Y\\u002fAGB+6XByxj9CkQHNl0XGPwIbOCvDGMY\\u002fYwhbtv3rxT9n0\\u002fpLUL\\u002fFP+U3i7PBksU\\u002f43wWbVZmxT8HBVmREDrFP5wHD8TvDcU\\u002fYKHCOPHhxD\\u002f3HevJD7bEP9ygsiFEisQ\\u002f5FVA84RexD+sDPZCxzLEPxBqq7v+BsQ\\u002fzDOZDh7bwz9D2F5bF6\\u002fDP8EGVZ3cgsM\\u002fHlA7G2BWwz\\u002feRT3WlCnDP+HRTfVu\\u002fMI\\u002f8nXtKeTOwj+UNZkL7KDCP38SW2eAcsI\\u002f6rtAgZ1Dwj8acddFQhTCP\\u002fjZMmpw5ME\\u002fsil1eSy0wT\\u002fKakbPfYPBPzpfJH9uUsE\\u002fitDwKAshwT+zbJ67Yu\\u002fAPwhMUSeGvcA\\u002fxRW1AIiLwD9Rs6wXfFnAP7Mw1AN3J8A\\u002ftVwlUxvrvz8D3Vx1qYe\\u002fPziF7WrAJL8\\u002fuCJMy4XCvj\\u002fGBTLUG2G+P3hevoSgAL4\\u002flhz8zSyhvT\\u002fj3QLe00K9PwjFTYqi5bw\\u002fD2oq3Z6JvD9b\\u002fFDJxy68P6sj0gUV1bs\\u002fdtWUE3d8uz\\u002fn9aNs1yS7P5JTj9wYzro\\u002fdmgrABh4uj96Rw3qqyK6PwXuQeimzbk\\u002fJSn3Ztd4uT9NJB3rCCS5Pze1dh8Fz7g\\u002fYfQe7pR5uD+4Qj+ggSO4P+46i\\u002f2VzLc\\u002fVgEZZZ90tz\\u002fYzFPZbhu3P3hQE\\u002fnZwLY\\u002fg+VS4Ltktj8GNJTr9Qa2P4\\u002f+pllwp7U\\u002fFXJWyBpGtT9EC1eJ7OK0P4CKuc3kfbQ\\u002fVu0ZpwoXtD8MM7febK6zP7T4k6MhRLM\\u002fOP6qEUbYsj8X6R+V\\u002fWqyP6P6Hi1x\\u002fLE\\u002f6UbRks6MsT8LQmJJRxyxP7HVi5wPq7A\\u002fZA51k105sD9kGca7z46vP\\u002fjEloPJqq4\\u002fwKeEHhLHrT859w5BDuSsP356M9cbAqw\\u002fg4GFVJAhqz9rO+s5t0KqP\\u002fl\\u002fX9jQZak\\u002fq5yVVhGLqD\\u002fFlL79n7KnPznH\\u002fc+W3KY\\u002fkapgaQIJpj9QCXUq4jelPxRX7akoaaQ\\u002fFYEtabycoz\\u002fvYSXGeNKiPwFPkSMvCqI\\u002fIXecP6hDoT8OHvqvpX6gPw\\u002fVvfPGdZ8\\u002fqGSrdzPwnT+XIHq+\\u002fGucP\\u002fBumY6N6Jo\\u002fD46i51JlmT8lw7Acv+GXP+LakLJMXZY\\u002fe9Gj8oDXlD\\u002ftcIkl7k+TP4LPJGs1xpE\\u002ftrY8KAg6kD8cj5UJUlaNP17p1fHYMoo\\u002fo5Zt0nEJhz+wFTWsDNqDP9yLl0i7pIA\\u002frKenG17Tej\\u002f0p6hXbFJ0P2v\\u002fq+ngjms\\u002fLAxrJJPNXD+U2A+Mz+wiP3zRbuNMLVi\\u002f+MOP+\\u002f9mab++Tvw6z19zv5xt\\u002frLwDnq\\u002f6rxxTc5fgL\\u002fkNvKATbiDv3XdrS5lEIe\\u002fSSEki5Jnir8VPOv+Yr2Nv49S1uW6iJC\\u002fRs3Ri74xkr9vmP4vn9mTv3rTditJgJW\\u002fqWlBG7Ill79tAolK2MmYv2Izv+XBbJq\\u002ffZYyAHwOnL\\u002fGALZ2Ga+dv4NZt7qxTp+\\u002fzITEyK92oL\\u002fwANTpn0Whv1heuRs4FKK\\u002frnsLGYfior81GT38mrCjv9ROStSAfqS\\u002fB7wUUURMpb8ZpQOK7xmmv7C0ieCK56a\\u002f99gy\\u002fxy1p7+2XNn0qoKov7XCoWo4UKm\\u002fwsZo8scdqr9tmG1qW+uqvyDKOnL0uKu\\u002fyrAo7JSGrL+9R1GGP1Stv9tVdEX4Ia6\\u002f\\u002fY0dDMXvrr\\u002fOhV8Yrr2vv20LUznfRbC\\u002fwhdAJAKtsL+MDmWXSBSxvxI2qSO9e7G\\u002fRwR0I2zjsb8oSNmsY0uyv4KZX3Kzs7K\\u002foM9ikmwcs7\\u002fmu6RVoYWzv8SpLt5k77O\\u002fbAAyyMpZtL+Hsxm\\u002f5sS0vzD7dAnMMLW\\u002fpGfKDo2dtb+He7XaOgu2v9+77aDkeba\\u002fVUz6RZfptr\\u002fMGF\\u002fwXFq3v\\u002fhB\\u002f6U8zLe\\u002fwcZD+Tk\\u002fuL8CtU3JVLO4v93BGRiJKLm\\u002fEPoB+c6eub+t3HuZGha6vzLkUGVcjrq\\u002fYQfhRoEHu7\\u002flS0YDc4G7v4mycrEY\\u002fLu\\u002faV6jSld3vL\\u002f9yclREvO8vxUO244sb72\\u002f6ntS2ojrvb9MlKT0Cmi+vxnl5WSY5L6\\u002fmy6KWRlhv79Jed6Fed2\\u002fv6ZtX3vULMC\\u002f0hyEbM5qwL8xFjQWqKjAv2CsuC5i5sC\\u002f0R0g4QAkwb926sD6i2HBvx42KAYPn8G\\u002fsMELUpncwb9KhEHjPRrCv5w3MVETWMK\\u002fT7msjDOWwr++PZiRu9TCvzAcSATLE8O\\u002fipD0u4NTw7\\u002fnPhk8CZTDv4u\\u002fAx+A1cO\\u002fnko3dA0YxL8QSKEV1lvEv9Pe4Pb9oMS\\u002fzLoYcqfnxL88peSV8i\\u002fFv2AiG3j8ecW\\u002fdWv9kN7Fxb8tp10irhPGv\\u002fJ+FK57Y8a\\u002f+ObcflK1xr82YFhGOAnHv17QmNIsX8e\\u002fclsZ3Sm3x7+B34\\u002f0IhHIvyuJd4IFbci\\u002fDmel7LjKyL+9DaXSHirJv\\u002fGCCGYTi8m\\u002fLQhH3G3tyb\\u002f4MT34AFHKv14W4aibtcq\\u002fWiZKugkby7\\u002fhGsiVFIHLv0aIcQ2E58u\\u002fthNTLx9OzL\\u002f2aT0crbTMv3r3Gt71Gs2\\u002fcYi3OcOAzb9Kaft34eXNv8zhyCIgSs6\\u002fHv7ssVKtzr9FE+okUQ\\u002fPv1VqyYb4b8+\\u002fpq2XWSvPz7\\u002fTPdnzaBbQv4v5zDxtRNC\\u002fegPGt5xx0L9P0mKf9J3Qv2TubSl1ydC\\u002fgv0YaiH00L\\u002fIw44q\\u002fx3Rv1S\\u002f5bMWR9G\\u002fGd63j3Jv0b9KE9c\\u002fH5fRv3Ypwe4qvtG\\u002f0DOWGqXk0b\\u002fpx2s8ngrSvzZD420nMNK\\u002fAp3qDlJV0r85uIVtL3r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D4j87yZ8AobXiP\\u002fjBp060p+I\\u002f2EQiU8CZ4j8LnsEnv4viPxjCJDOrfeI\\u002fcufSSX9v4j\\u002f2vtfMNmHiP7k9ScXNUuI\\u002fAE8T\\u002fEBE4j\\u002fg9XwNjjXiPyvP9HezJuI\\u002fFdvPpbAX4j+DRcTxhQjiP4DJCaY0+eE\\u002ff4Mp9r7p4T+3x6bzJ9rhP54cyX1zyuE\\u002f1xTsLKa64T8CxdM5xarhP7Ffm2HWmuE\\u002fMJfmxt+K4T9nWA3R53rhP63uAwr1auE\\u002f+XTH+w1b4T9HihcOOUvhP+uUQmV8O+E\\u002fMpzBwt0r4T9\\u002fIVRoYhzhP9zAO\\u002f4ODeE\\u002fXS4jfef94D8e5yQc7+7gPwY3TEMo4OA\\u002fda3PgpTR4D8bbiePNMPgP1erBEIIteA\\u002fX7cSoA6n4D84J07jRZngP+AlpImri+A\\u002ffOpzZzx+4D8b1Ha99HDgPxBzgVHQY+A\\u002fNyaBicpW4D8HNQ+I3kngP1Cq60kHPeA\\u002fBb+vwz8w4D8CYAn\\u002fgiPgP9wp1zbMFuA\\u002fD+eF8RYK4D9ryDsyvvrfP07X\\u002fSBC4d8\\u002f4vO5irPH3z9Ngkp9Da7fPxqNFE5MlN8\\u002fzXkcp2163z8ZLPeLcGDfP\\u002fMRqVZVRt8\\u002fkba0rB0s3z9BH8hszBHfP+9IopVl994\\u002fxrDvJu7c3j9OEP38a8LeP5GxOajlp94\\u002fiXWWQWKN3j8Ae9s86XLePwgcFDqCWN4\\u002fdbAv1zQ+3j+MXu2CCCTePzaRGlIECt4\\u002f9+4W2C7w3T9piHYDjtbdP04nfP8mvd0\\u002f1w0DG\\u002f6j3T\\u002fg\\u002fEm1FovdP7396TBzct0\\u002fjzEb7RRa3T8L0kFF\\u002fEHdP0GalpYoKt0\\u002fYOmYS5gS3T+U\\u002fNbsSPvcP59fejY35Nw\\u002fwdXsMV\\u002fN3D\\u002frC9VSvLbcP+fImpZJoNw\\u002fs0qYpQGK3D8RMxr13nPcP\\u002fDEUOnbXdw\\u002fuRZc9vJH3D+s9Ki\\u002fHjLcPyAI5TRaHNw\\u002fqOzlq6AG3D8ehPf27fDbPxdhIXc+29s\\u002fTrwQKo\\u002fF2z\\u002f+TnOz3a\\u002fbP\\u002fjHrmEomts\\u002fAJD\\u002fLW6E2z9Cbie4rm7bP66W8D3qWNs\\u002fNBjjjiFD2z+v6KD8VS3bP1Zxb0iJF9s\\u002f3R6Ejr0B2z\\u002fUzbMv9evaP+HPKroy1to\\u002f8rDU0XjA2j\\u002f66xcZyqraP9GVghopldo\\u002fpfz5M5h\\u002f2j+8tvCDGWraP9YZFdmuVNo\\u002fKSDWpFk\\u002f2j\\u002f99QbxGiraP39p0ljzFNo\\u002fmucXBeP\\u002f2T94NzSs6erZP0hlIZUG1tk\\u002f7NjDnTjB2T8o+SZEfqzZP+twWrLVl9k\\u002fIpWSzDyD2T\\u002fn1yJBsW7ZP1De4JkwWtk\\u002fZ9B5TrhF2T8C3EHXRTHZP7aPB8DWHNk\\u002fmYB5umgI2T9NXLSv+fPYPxnEmdCH39g\\u002f87OcpBHL2D\\u002fjVb4WlrbYP0h\\u002fhYAUotg\\u002fQzDLsoyN2D\\u002fkxEb8\\u002fnjYPy6c1C1sZNg\\u002fR1CBnNVP2D+8xHEhPTvYP1fpzBelJtg\\u002fJsLWWBAS2D870HQ2gv3XP4oqWnT+6Nc\\u002f31QdQInU1z9WK3soJ8DXP9IVCRTdq9c\\u002f30yVN7CX1z+hfW4MpoPXPxrTxEbEb9c\\u002fP6tNzBBc1z+AZ0mrkUjXP\\u002fU\\u002fABJNNdc\\u002fNzXARkki1z+RmlugjA\\u002fXPzGlHX8d\\u002fdY\\u002flFkhRgLr1j84dO9UQdnWPxXTQQHhx9Y\\u002fCbbGkOe21j92ErwyW6bWP5NRO\\u002flBltY\\u002fyCcQ0qGG1j9gvfl+gHfWP4z8O43jaNY\\u002fTVVvTNBa1j8\\u002fX4fES03WP6gfFKtaQNY\\u002f7v7NVwE01j9KMom4QyjWP\\u002fsfukQlHdY\\u002f64\\u002fA8KgS1j8R2zoh0QjWP\\u002fZOrJ6f\\u002f9U\\u002fQy\\u002fKiRX31T\\u002f2ychQM+\\u002fVPzKbBab459U\\u002fxEZseGTh1T\\u002fYBfLtdNvVP1j6fWAn1tU\\u002fWKOMXXjR1T8AiNGoY83VP3ZEDELkydU\\u002f5b81bvTG1T9pyRfEjcTVP0MhTTypwtU\\u002f9IOSRD\\u002fB1T9KOjvWR8DVP5yOhY+6v9U\\u002f0\\u002fJ1z46\\u002f1T9BPcvTu7\\u002fVPwfEi9g4wNU\\u002f8uCaOP3A1T9nELmOAMLVP1DnRtY6w9U\\u002fmu0ci6TE1T8VUMjHNsbVP5iOfmHrx9U\\u002fMuAgAb3J1T\\u002f8\\u002fLI4p8vVP1owuJSmzdU\\u002fHsn8qLjP1T\\u002fUz2gY3NHVP6vqkpcQ1NU\\u002fWuzm6VbW1T84F1LZsNjVPxrmhigh29U\\u002fBWwKgKvd1T89SV1WVODVP+\\u002f7sNMg49U\\u002f8Cy3sRbm1T94ujIYPOnVP8b4CHeX7NU\\u002fZ0GkXi\\u002fw1T\\u002fX6IZXCvTVPxGZ9rku+NU\\u002fmoyrhqL81T8AAG1BawHWPypcfM6NBtY\\u002f7iqjUw4M1j\\u002ffFKUd8BHWP1pNv4o1GNY\\u002fuXPC+t8e1j+2qDPF7yXWPwAnvjVkLdY\\u002fHeEYjzs11j89a1wUcz3WPzu6nRgHRtY\\u002fXgJ7FPNO1j9ONyLBMVjWP+hVNTi9YdY\\u002fFqHQF49r1j+SLdupoHXWP5FAsw3rf9Y\\u002fnsU2Y2eK1j9K+xz2DpXWP7jLkWjbn9Y\\u002f90cF3Maq1j8leSoXzLXWPxYLMKjmwNY\\u002fGPNSAhPM1j8SqQaWTtfWP440D+OX4tY\\u002fV3MOhO7t1j8auS4zU\\u002fnWPzo8wMfHBNc\\u002f\\u002fKTLLE8Q1z8tZMlQ7RvXP9QO2g6nJ9c\\u002f6L4GEoIz1z97RTizhD\\u002fXP1zJt9K1S9c\\u002fn0UqrhxY1z+kaBG0wGTXP53d7lWpcdc\\u002fuIUy2t1+1z\\u002f0MCAvZYzXP1PO1b9Fmtc\\u002fadCPTIWo1z8E2DbHKLfXP5T7JzU0xtc\\u002fhckIl6rV1z\\u002f6LlLXjeXXP++dEsDe9dc\\u002fcDI5+JwG2D8lU4oIxxfYP2yZK2haKdg\\u002fxfmBkFM72D+MfusXrk3YP3O2rtJkYNg\\u002f34BO+XFz2D91TUpTz4bYPwdHMmV2mtg\\u002fNCXdoGCu2D9FTHuWh8LYPzEIOSXl1tg\\u002fEHMgqnPr2D+FH\\u002fMrLgDZPzrew4IQFdk\\u002fAqMxehcq2T9eJkXtQD\\u002fZP+SvGtuLVNk\\u002fh46vc\\u002fhp2T9DFF4ciH\\u002fZPw4vyms9ldk\\u002fH5s6HRyr2T89sZX7KMHZP\\u002f5\\u002fc8Rp19k\\u002fqarvA+Xt2T+X8RrqoQTaP5fdHBuoG9o\\u002flnNAe\\u002f8y2j9t3En4r0raP5GGjVHBYto\\u002fLZhS4Dp72j8R7BFiI5TaPwrqH8aArdo\\u002fGitCAFjH2j\\u002fIJZrhrOHaPx13LPmB\\u002fNo\\u002fLmYhfdgX2z8h3qc9sDPbP7FpKaIHUNs\\u002f3hE9sdts2z+314EjKIrbP0WEQYHnp9s\\u002fe25zShPG2z9xcm4opOTbP1B4UyiSA9w\\u002fMF74\\u002fNQi3D8Zn99GZELcP4M\\u002fleA3Ytw\\u002fk9yeLUiC3D+bbwxqjqLcP05+ovgEw9w\\u002fysiNrafj3D\\u002fulJQTdATdP8SqyqlpJd0\\u002fStPqF4pG3T8txqJX2WfdP2MwVNFdid0\\u002fONcNayCr3T8cg8mILM3dP1HKTP2P790\\u002fGzxi61oS3j\\u002fx53uXnzXeP0qvLSpyWd4\\u002fiRdLZOh93j+hN89FGaPeP9m0C6kcyd4\\u002fkG7r0wrw3j93eVwB\\u002fBffPxSQMeUHQd8\\u002fWYX7LEVr3z9yOX4AyZbfP5\\u002f6eISmw98\\u002fXF9\\u002fYu7x3z+mjkos1xDgPy2Nkml4KeA\\u002fLSXhSd5C4D8uQXQzCl3gP1SoVnX7d+A\\u002fNDv\\u002fM6+T4D9zQddfILDgP3saFbZHzeA\\u002fy2sizBvr4D\\u002f0k4wlkQnhP3TxRFSaKOE\\u002fIby9IihI4T9mCTnHKWjhP25cax+NiOE\\u002fMg5j8z6p4T97CHs+K8rhPxzF+nw96+E\\u002fviXo\\u002fGAM4j+aQnowgS3iP8VQjwCKTuI\\u002f\\u002f5uDHWhv4j8CcMxMCZD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w28ziFAP9E\\u002f03PlbRQs0T93nKL+thjRPyApZp0tBdE\\u002fFepAp37x0D+KdyTksN3QPyr7i1vLydA\\u002fmdXWJ9W10D9NGZJJ1aHQP9g46XvSjdA\\u002fYFdpC9N50D\\u002fZ3S2w3GXQPw38cGz0UdA\\u002fVGtYcB4+0D9vI68DXirQP9fbEHa1FtA\\u002fMmfdFSYD0D82\\u002fTJcYN\\u002fPPw+BYxamuM8\\u002fH5rJDBqSzz8zldcut2vPPzvdnNd2Rc8\\u002flvlTBlEfzz8bBCWfPPnOP09aN7Iv084\\u002fO1oHxx+tzj+cu90pAofOPwIDPjnMYM4\\u002fb7QosXM6zj859yPy7hPOP9GOIUI17c0\\u002f7UaKBT\\u002fGzT+uw\\u002fPuBZ\\u002fNP\\u002fdLTCSFd80\\u002fi6KWWLlPzT9HJKTZoCfNP+zTkpE7\\u002f8w\\u002fOlgt\\u002fIrWzD9LzqEQkq3MP6FTVyBVhMw\\u002fVBj3q9lazD88jgIwJjHMP1gUi+pBB8w\\u002f+b7OmzTdyz9cWKBDBrPLP3uJld2+iMs\\u002f2L78HWZeyz9PtZQxAzTLP2bg6YGcCcs\\u002fFLUagDffyj\\u002fsSZR32LTKPycFHmqCiso\\u002f4tRG9jZgyj9sjvpI9jXKPwehtBq\\u002fC8o\\u002fynxwuI7hyT95OSIYYbfJP5h+Lfgwjck\\u002fW7v\\u002fCPhiyT+\\u002fl6cfrzjJP788AHBODsk\\u002ff3jNzM3jyD92dPfrJLnIPxv38qxLjsg\\u002fuvhOXzpjyD\\u002f9QVoH6jfIP8oY3J5UDMg\\u002f4X\\u002fxT3Xgxz9hvUSoSLTHP5XSBcPMh8c\\u002f2A9HaAFbxz8gcacg6C3HPyYegzyEAMc\\u002feTw3ztrSxj8zBF+X8qTGP+1kSunTdsY\\u002fmSFIeYhIxj\\u002fev7MpGxrGP7SrCMmX68U\\u002fWluFyAq9xT+LECnsgI7FPz9QC\\u002fYGYMU\\u002fptgzT6kxxT9OmjOwcwPFP9Q8ystw1cQ\\u002fg5jf\\u002famnxD+BQgUBJ3rEPxQ1kqztTMQ\\u002fRHk6vQEgxD\\u002fgo8epZPPDPwpnToUVx8M\\u002f6inr7xCbwz+hkLUWUW\\u002fDP2VRO8PNQ8M\\u002fXgZwenwYwz+YUZyqUO3CP98jdec7wsI\\u002fYr8mMy6Xwj82hchSFmzCP1P4YCziQMI\\u002fWKdeLH8Vwj\\u002fsnjSw2unBP+4SoXPivcE\\u002fmjAM\\u002foSRwT++PmQNsmTBP1Or4\\u002ftaN8E\\u002feFVFHnMJwT+6zRIY8NrAP3yS7iPKq8A\\u002fezwATvx7wD8cjfiehEvAP4l5fTZkGsA\\u002fOf5gqD7Rvz+x1tKdemy\\u002fP6OZVfSQBr8\\u002f08OB9Jufvj\\u002fp48oPuze+P2TxT0kSz70\\u002fsORug8llvT+fMP+1C\\u002fy8P9rNqBEGkrw\\u002f+gFFFecnvD9f9Y+a3b27P605rN8XVLs\\u002ftRkSk8Lquj9tNXvnB4K6P6WsL7UOGro\\u002f\\u002fObNrfmyuT80oDqn5ky5PyrP3gHu57g\\u002fHHe3LSKEuD\\u002fFVgRRjyG4P0cQmhI7wLc\\u002ff6UHiSRgtz\\u002f5DuNORAG3P0GdsruMo7Y\\u002fzQoOQOpGtj9O8b\\u002fiQ+u1P3LC69t7kLU\\u002fiS2KSnA2tT8sSPL\\u002f+9y0PwiYpFz3g7Q\\u002fiVkpOTkrtD+pbY\\u002fVl9KzP0XQ9snpebM\\u002fCyOR8gYhsz9HqaRRyceyP6UgYeINbrI\\u002fqou4V7UTsj9mw+3CpLixPzxhJB7GXLE\\u002fBXbttwgAsT+HQo59YaKwPyX+jCLLQ7A\\u002fPzrNSYzIrz\\u002fmb1RcsQevP63LG6UcRa4\\u002fDZ3AX++ArT\\u002fX3fndU7usP1+CNFZ89Ks\\u002fLwLJhaEsqz\\u002fNobMvAWSqPzEUhIHcmqk\\u002flkTGaHbRqD+HQnLjEQioP3fF+lXwPqc\\u002f4ZRY8U92pj8V+\\u002fYyaq6lP\\u002fyHrYdy56Q\\u002fiJQCGpUhpD9YW87S9VyjP6N4B5KvmaI\\u002f97cPpNPXoT8Vg0x2aRehP4n5OoxuWKA\\u002fc+wdaa01nz8l3KD4GL2dPw+8u7jjRpw\\u002fAoONOMLSmj9D6D7IW2CZP0qHketM75c\\u002f3xpgCip\\u002flj8FHJ5Mgg+VP3MyYo7in5M\\u002fI9QCWNgvkj87CUrG9L6QP7v2iJ6emY4\\u002fPEFaohCyiz8hBde0lsaIP1BW+jai1oU\\u002fr+jN68Hhgj9JQ4h3SM9\\u002fPwrYRx0x0Hk\\u002flr1lZh\\u002fGcz+rZVRIbWJrP0mjqX1jR14\\u002fwo4e6SCKNj9tILmHeSZTvw1m1BLbB2a\\u002fLMeASS5Fcb\\u002fmLBijK4x3v1vbVNSj132\\u002fOllL+ikTgr83vvffgTuFvzZh86BIZIi\\u002f9SjhB\\u002f6Mi7\\u002fbw3fiN7WOv1YOIF5T7pC\\u002fQQw3+oyBkr+Io6mIQRSUv4fxTBx8ppW\\u002fwqBj3Fo4l78DBytLD8qYv00FcwreW5q\\u002f0bKwHR7um7\\u002fphjOsN4Gdv0ueTkmiFZ+\\u002f2fqnZfFVoL\\u002fngHleRCKhv+2QxLsV8KG\\u002fxYcke7O\\u002for9LXYQ6bJGjv6fGA3eNZaS\\u002fpqGsxWE8pb8RxXYQLxamv+\\u002f9DeI086a\\u002fx5eDyqrTp78fIYzmvreovwCKJpKUn6m\\u002fNAWQTkOLqr8aWj7i1Xqrv3vPR7hJbqy\\u002f\\u002f8Usg45lrb\\u002f\\u002femwlhmCuvxbMteAEX6+\\u002fQQl05WgwsL8InUDD07Kwv8loR52aNrG\\u002fxqxk4o+7sb9HHpqPgUGyv7i9vPg5yLK\\u002fXoKiooBPs7+FQBMqG9ezvzOufjLOXrS\\u002fhWhWV17mtL\\u002fRBOcakW21vy1ups0t9LW\\u002fnjonaf55tr8GpjZa0P62v540GzZ1gre\\u002fbLhxV8MEuL90GMJfloW4vwLXkJvPBLm\\u002fz5tpR1aCub8iZh21F\\u002f65v1vKL1EHeLq\\u002fQwEtiR7wur9f7VmUXGa7vwQj2yDG2ru\\u002ftVIM6GRNvL9GfUotR768vw3f5Sp\\u002fLb2\\u002fae1JcSKbvb8jF6g8SQe+v7j0k8UNcr6\\u002f+aoEkYvbvr+TmxfE3kO\\u002fv0wGvX8jq7+\\u002ffsUUpLoIwL9o58A9dzvAvzpcXe3TbcC\\u002fcBCOE9yfwL9GohzrmdHAv8Hnxm4WA8G\\u002fljMiS1k0wb8sRYDcaGXBv9P6bjhKlsG\\u002fe+QbQgHHwb\\u002fOxZrIkPfBv6\\u002fUy636J8K\\u002fcrtlFEBYwr8Ch3mTYYjCv\\u002fjTpG1fuMK\\u002fZZIRyjnowr+YEFvt8BfDv7DIdXCFR8O\\u002fenTKc\\u002fh2w7\\u002flmdTMS6bDv3U0wCyC1cO\\u002fgiC4Pp8ExL\\u002fTAda8pzPEv6XS6nqhYsS\\u002f\\u002fzKjZpORxL9+6dl8hcDEv2qrO7SA78S\\u002fJQyv3Y4exb8qPkB7uk3Fv+QNmI4OfcW\\u002fpUJGYJasxb\\u002fNn19BXdzFvwOTHUluDMa\\u002f+vVPENQ8xr\\u002fsOIdsmG3Gv7cs5izEnsa\\u002fuDOG2l7Qxr9I7EZ+bgLHv5baw233NMe\\u002fDvH\\u002fIPxnx79eJiESfZvHvwDrVqh4z8e\\u002fzeG+LusDyL+JlM3XzjjIvyz0bs0bbsi\\u002faGu+TcijyL+OTOLTyNnIv22hREwQEMm\\u002f7v8VU5BGyb+ABsB7OX3Jv\\u002f1prp\\u002f7s8m\\u002fnbSgMsbqyb8waI2aiCHKv11GAokyWMq\\u002fz+LdU7SOyr8LzzxL\\u002f8TKvyrIgAoG+8q\\u002fdxtywrwwy792YKJ6GWbLvzLJakgUm8u\\u002fYGMeeqfPy79HOFC1zwPMvzJ\\u002fXAeMN8y\\u002fjBm5591qzL9eMOoryZ3Mv\\u002fvRUe1T0My\\u002fB5ZqYYYCzb+FV1OlajTNv3TN4n0MZs2\\u002f4CjDDXmXzb9K\\u002fFWDvsjNv4bqVcDr+c2\\u002fi4lU\\u002fQ8rzr9Ce05rOlzOv0Q1ndV5jc6\\u002fIeqMRty+zr9kd82wbvDOv3l+1588Is+\\u002f7JIz8U9Uz781vFmYsIbPvxrHnG5kuc+\\u002fTq9IEG\\u002fsz7\\u002fO1ePj6A\\u002fQv1gYpMPFKdC\\u002fLeeAeMxD0L97uew2+l3Qv6Tc5ChLeNC\\u002fueGNhrqS0L\\u002fNg5W0Qq3Qvwo2kmfdx9C\\u002fOoZ4y4Pi0L\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3kbndLW4T8l3d+eV8fhP11fDsXgt+E\\u002fx+fwoWuo4T9YAy0k9pjhP1np9KF+ieE\\u002f9YAJ4gN64T83K1wihWrhP6TdKxwCW+E\\u002flZqGBXtL4T9sQyaQ8DvhP8fSreVjLOE\\u002f7vVZodYc4T8vckXHSg3hP3B+brnC\\u002feA\\u002fr\\u002fa1KkHu4D9s0xsQyd7gP6xihZBdz+A\\u002f4Tdh8wHA4D93fYKOubDgP7MskbOHoeA\\u002fUJ5unW+S4D9M4u1ddIPgPylbPcyYdOA\\u002fRklbdN9l4D\\u002f9W+mHSlfgPy4krNDbSOA\\u002fQo76pJQ64D\\u002fGi1fedSzgP4oEZdJ\\u002fHuA\\u002ftkFTTrIQ4D+jieOUDAPgP9OoD74a698\\u002fnEE5vmXQ3z8fg1qN9bXfP2x6TZ3Em98\\u002flZKjg8yB3z8kfsMSBmjfPzmquXZpTt8\\u002fsjQzVe403z8RlA3wixvfP+Je2kk5At8\\u002f8BSvS+3o3j9FipTrns\\u002fePx6k6FJFtt4\\u002fCG0HBNic3j\\u002fdBJb+ToPeP0dv0uGiad4\\u002fR4dWDM1P3j8iIMq4xzXeP1NMEBeOG94\\u002fmoWNYRwB3j+CpTfub+bdP6jdNDuHy90\\u002f27\\u002fj9mGw3T9OgTsDAZXdPwKPiHRmed0\\u002fBeOdi5Vd3T8f8aarkkHdPx8j2EtjJd0\\u002f6WZM5Q0J3T+CA23dmezcP1mLTW0P0Nw\\u002fYyZwhnez3D9Idm6125bcPw3vCANGetw\\u002fxaAh1MBd3D8kIijJVkHcP9ugep0SJdw\\u002fZDE8B\\u002f8I3D\\u002f7chqYJu3bPwetdJ+T0ds\\u002fx+lMDlC22z\\u002fdeWBdZZvbP+sBuXXcgNs\\u002f1vj5m71m2z+MnKBeEE3bP6YfXofbM9s\\u002fkXSlDyUb2z+W43cY8gLbP6vJbeVG69o\\u002fKa7r2ibU2j+ZhGd\\u002flL3aP26aln+Rp9o\\u002fmoVStR6S2j9eifowPH3aP9dpD0XpaNo\\u002f55vBkyRV2j+eMSUe7EHaP+3Qu1Q9L9o\\u002fKmkDKRUd2j9pLbgfcAvaP6iEeWNK+tk\\u002fJw+E15\\u002fp2T+LdTYqbNnZP+pUG+eqydk\\u002f7h44iFe62T9EDmeGbavZP2s1iWjonNk\\u002fUg1l0cOO2T\\u002fMnA2M+4DZPzk0tpaLc9k\\u002fWKjeK3Bm2T8l08vJpVnZPwjJRzgpTdk\\u002fT4ysjPdA2T\\u002fG+UIsDjXZP3IeBs1qKdk\\u002fXgvhdAse2T8fgIJ37hLZP3dd5nISCNk\\u002f8bO4Snb92D\\u002fQabkiGfPYP6rbSVj66Ng\\u002fxoJPexnf2D\\u002fRl5dGdtXYPxzY55cQzNg\\u002feRHoZ+jC2D9a6g7C\\u002fbnYPzuMurxQsdg\\u002f23CbceGo2D+\\u002fpJT2r6DYPyBnMVe8mNg\\u002f9DvMjgaR2D+8Un+DjonYP7Kr8QFUgtg\\u002f1bAPulZ72D\\u002fXH7k8lnTYP900afoRbtg\\u002f+hnZQsln2D\\u002fzxJdFu2HYP3+5jRPnW9g\\u002feateoUtW2D\\u002fXzJbK51DYP6PAjVW6S9g\\u002fhMbl98FG2D9Kyopb\\u002fUHYPyyjEiRrPdg\\u002fFghe9Ak52D\\u002fsklh02DTYPxyutVbVMNg\\u002fVW+IXv8s2D\\u002fxOpVkVSnYP3aOPVzWJdg\\u002fiHroV4Ei2D9zH82MVR\\u002fYPz7dB1ZSHNg\\u002f1MvmNncZ2D+WaV7cwxbYP+kknB04FNg\\u002fD2mx+9MR2D\\u002fTBFeglw\\u002fYPwYJzluDDdg\\u002fIHjooZcL2D8KOkkG1QnYP1yb7zc8CNg\\u002fmRYn\\u002fM0G2D\\u002fLIPgoiwXYP0wZOp90BNg\\u002fcTdpRIsD2D9CS2X8zwLYPyhPP6NDAtg\\u002fYBc8B+cB2D\\u002fF0jHjugHYPyOVZNm\\u002fAdg\\u002ff8ADb\\u002fYB2D\\u002fl52YIXwLYP\\u002fu7JOb5Atg\\u002fbs4ZI8cD2D+ok2+zxgTYPwEfrmT4Bdg\\u002fIMbc3lsH2D8USa+m8AjYP81ytiC2Ctg\\u002fm4yElasM2D+Ona820A7YP01wlSQjEdg\\u002fOeW\\u002fdKMT2D9bUsM4UBbYP4zBbIUoGdg\\u002fp90Seisc2D\\u002f3atpHWB\\u002fYP\\u002f1RvjiuItg\\u002f7Jgrtiwm2D8YMQNP0ynYP4g11ryhLdg\\u002fyRc16Jcx2D8rL+\\u002frtTXYP4oSJhf8Odg\\u002fnvoe7mo+2D9d98MpA0PYP5zgzrXFR9g\\u002f7WKgrbNM2D+uLs5XzlHYP0jmeyAXV9g\\u002fh7uako9c2D9FgzNQOWLYP24r5gkWaNg\\u002f677PdSdu2D9WTw1Gb3TYPwkLFh\\u002fvetg\\u002f1FUpjqiB2D8G0Q4AnYjYPyjLZbjNj9g\\u002fzoi\\u002fyTuX2D8aQLwO6J7YPzSFXSTTptg\\u002f8Vy6Zf2u2D9\\u002fVTnpZrfYP0wMbH8PwNg\\u002fMaCds\\u002fbI2D\\u002fg8BrOG9LYP195MNh929g\\u002f4FDOoRvl2D\\u002fvsrfI8+7YP+OpGMEE+dg\\u002f81xS30wD2T9pXsViyg3ZP5xpWYF7GNk\\u002fkYl7c14j2T+Y1EaAcS7ZPwb1iAmzOdk\\u002f2bxSlyFF2T8QFcbiu1DZP1\\u002fG1d+AXNk\\u002f5NewxW9o2T\\u002fhgZoViHTZP63T+J\\u002fJgNk\\u002f5wJvhzSN2T\\u002fIqORByZnZP224aJeIptk\\u002fPGLtnnOz2T8pD+m4i8DZP8XF94fSzdk\\u002fpzun50nb2T+EMKbh8+jZP4ILnaHS9tk\\u002fLbIBaOgE2j9r1UJ8NxPaP94mrx7CIdo\\u002fjcqCeoow2j\\u002fdpIiYkj\\u002faPxKvvVLcTto\\u002fiShiSWle2j9mNt\\u002fZOm7aP7FZ3xdSfto\\u002fdiftyK+O2j\\u002fPDt5iVJ\\u002faP4ntPg1AsNo\\u002fGBHmpXLB2j+6XrrI69LaP+cuqtqq5No\\u002fZF62F6\\u002f22j97u9+j9wjbP9bMrp6DG9s\\u002fQ4b4OFIu2z\\u002fAZm7MYkHbP3s4dvS0VNs\\u002fI8W1p0ho2z8IwbFRHnzbP5pj1es2kNs\\u002fxfcxFZSk2z8hcEMoOLnbP3PsCE4mzts\\u002fU0HGjWLj2z+a\\u002fs3Y8fjbP2kPwhHaDtw\\u002fe7nLDiIl3D\\u002fzK2KW0TvcPxyiUFbxUtw\\u002fDN\\u002fJ1Ipq3D8O8nVbqILcPwgliNxUm9w\\u002fIgcN0pu03D90+sIXic7cPynG8b8o6dw\\u002ffqfW44YE3T8dcllwryDdPzXC2++tPd0\\u002fFlkMUo1b3T8L0r2yV3rdP0xV0CAWmt0\\u002fiExJZtC63T+p87nSjNzdP+ekFQlQ\\u002f90\\u002fE8US0hwj3j84KSX080feP1TJDhLUbd4\\u002fQMXrkLmU3j9Qg4GGnrzePwN1drB65d4\\u002flXDxdEMP3z9pOPXs6znfPyeJn\\u002fhkZd8\\u002fzblDXZ2R3z+Eiyjtgb7fP+I1gLj9698\\u002fywKBI\\u002f0M4D\\u002f0ha\\u002fsLyTgP1wv0NiKO+A\\u002fZRyrMAFT4D9xZC4OhmrgPw0\\u002fb4cMguA\\u002fzWiS2oeZ4D9XRdyZ67DgP6DbJNcryOA\\u002f3i7rTT3f4D\\u002fruEaLFfbgP5To\\u002fBKrDOE\\u002fI2wLgfUi4T8Fkwan7TjhP4z1vKSNTuE\\u002fT4Wm+9Bj4T9nybyctHjhP9vnc\\u002fA2jeE\\u002fBLan2Feh4T+v1WysGLXhP35O0y18yOE\\u002fSIXFeYbb4T86UUvyPO7hP1iilCOmAOI\\u002ffiBJpMkS4j8K0rHxryTiP2mzZkhiNuI\\u002fa8I7eupH4j8Q9DbCUlniP7WKYpelauI\\u002f7w9Vf+174j8NqknhNI3iP0iUoNqFnuI\\u002fti+YFeqv4j++lQOjasHiP0P+s9cP0+I\\u002fRf42LuHk4j8g\\u002fXQt5fbiP362oVQhCeM\\u002forrUDJob4z+LLoKgUi7jP8oy7ThNQeM\\u002fVfON4YpU4z99IEaRC2jjP3sWIDnOe+M\\u002fjO032NCP4z8\\u002frVKUEKTjP6x8j9aJuOM\\u002fLG+JazjN4z+M6y6mF+LjP6IGhoQi9+M\\u002f7suL1VMM5D89jVdfpiHkP7oHqwQVN+Q\\u002fo34c6ZpM5D+CvxCTM2LkP\\u002fEtyArbd+Q\\u002fBSrT9Y2N5D9hB1euSaPkPwLqpFUMueQ\\u002fu6++4dTO5D8kAoMlo+TkP2cfWNN3+uQ\\u002fFzJMelQQ5T83gcF9OyblPy6q2wcwPOU\\u002fG8sA9zVS5T96W93GUWjlP+3ScnWIfuU\\u002f45fPZN+U5T9bhyE6XKvlP5dO47oEwuU\\u002fAnjvqN7Y5T\\u002f2Mkqe7+\\u002flP2FndOk8B+Y\\u002f8IIXa8se5j+Es9F1nzbmP2Qc3rC8TuY\\u002fL0VE\\u002fiVn5j\\u002fO6CVl3X\\u002fmPwrYqgDkmOY\\u002fsV3w8zmy5j8IDUVj3svmP8PB23LP5eY\\u002f0oYBSwoA5z+0xcIhixrnP7ZAzUlNNec\\u002fB5s+RktQ5z82QPPifmvnP970z1Dhhuc\\u002foNBpRWui5z\\u002fgVF0dFb7nPwIylgDX2ec\\u002fgGu+B6n15z+qKQVigxHoP2HIa3peLeg\\u002f76DKGzNJ6D8ol8aS+mToP55s\\u002fMyugOg\\u002fMgO3dEqc6D+NrJkIybfoP270vu4m0+g\\u002ftHjmgmHu6D+RxmgfdwnpP7MyxiBnJOk\\u002fao\\u002fE4zE\\u002f6T+PzS6+2FnpP5FEaPJddOk\\u002fbuginsSO6T+BZ6OkEKnpP6htF5VGw+k\\u002f+IWYjWvd6T86zYgbhffpP6hsBRqZEeo\\u002fslQ1j60r6j\\u002fXq0CJyEXqP0a7vvvvX+o\\u002fxs1knil66j8mgrjNepTqP024e27oruo\\u002fr7x31HbJ6j8uEzmtKeTqP2qtNe8D\\u002f+o\\u002fLwC9zQca6z+65fSxNjXrP7MuCDmRUOs\\u002fVt+MNxds6z8cDgnCx4frP47hXjqho+s\\u002fTfXKYaG\\u002f6z8JJgVvxdvrP0IG+ycK+Os\\u002fup6F\\u002fmsU7D\\u002f8F2ov5zDsP6zr5uJ3Tew\\u002fpZUFThpq7D+up+PTyobsP\\u002f++JSaGo+w\\u002fsivLY0nA7D\\u002fpCKI1Et3sPwffqOfe+ew\\u002ftmK8fq4W7T9ZGQXKgDPtP1kjsW9WUO0\\u002fypmh9DBt7T8WM9C+EortP7uYUBL\\u002fpu0\\u002fQUzwCPrD7T+dd5eECOHtP+rSqxww\\u002fu0\\u002fHznUBncb7j\\u002fl5Zb74zjuP5IOZRd+Vu4\\u002fngG8uEx07j\\u002f0uBVcV5LuP7FocHalsO4\\u002fAr49Tz7P7j+AAI\\u002faKO7uP8P+UpRrDe8\\u002fNJ11XQwt7z8tHKdbEE3vP+nvgtx7be8\\u002ff5+7PFKO7z9c9trTla\\u002fvPz1lDOVH0e8\\u002fj0dLlWjz7z+oQphz+wrwP3uvPV54HPA\\u002fJ2iobiku8D9yS4aCDEDwPw+hL\\u002foeUvA\\u002fnz0rxF1k8D\\u002f3S+hqxXbwP9KUYSRSifA\\u002f2hVT4\\u002f+b8D+Ul6Fpyq7wP0DrjFutwfA\\u002fnblAU6TU8D\\u002f6aVX0qufwP5K50v68+vA\\u002ftBlIYdYN8T90z5NJ8yDxP8L7+DMQNPE\\u002fxQAu+ClH8T8G9xfUPVrxPxTR9HNJbfE\\u002fRyLE90qA8T9g6s31QJPxP7H4NnoqpvE\\u002f2BCjAwe58T\\u002fBn\\u002fV81svxP74gUjSZ3vE\\u002ftPiMz0\\u002fx8T8aLkw++wPyP4avJKqcFvI\\u002fmYUMZTUp8j++FYTWxjvyP7RL4GdSTvI\\u002fSOwkcNlg8j8CXuEfXXPyP1bKgm3ehfI\\u002fq5iMAl6Y8j+49CMq3KryPy5rVMFYvfI\\u002fQ85qKdPP8j8gt7g8SuLyPyNVBka89PI\\u002fsBPq+iYH8z89Qi55hxnzP8enXEfaK\\u002fM\\u002flR93WBs+8z+1X9MSRlDzP0Y4\\u002f1lVYvM\\u002fg06Cm0N08z9C50LeCobzPy0VRdSkl\\u002fM\\u002fo9lu7gqp8z8zwvBxNrrzP8h96Y4gy\\u002fM\\u002fNgDUd8Lb8z93Lkt5FezzPwPWqxET\\u002fPM\\u002fouMdCLUL9D+WapCC9Rr0P7YBORrPKfQ\\u002f2S4u7jw49D\\u002fh4L2zOkb0PygjLMTEU\\u002fQ\\u002fHgeTJ9hg9D\\u002fU86qccm30P4TWUZ2SefQ\\u002fm7+3XzeF9D\\u002fW+yfUYJD0Pw9adp8Pm\\u002fQ\\u002f7rYoEkWl9D\\u002fuxYQcA6\\u002f0PyQRuT9MuPQ\\u002f1QZmfCPB9D8hYNg+jMn0P3n7UEmK0fQ\\u002fyT6\\u002fnCHZ9D\\u002fkDlpgVuD0PwRHiMgs5\\u002fQ\\u002faUqM\\u002fajt9D\\u002fGw2YCz\\u002fP0P8DvYpyi+fQ\\u002fcPm6Oyf\\u002f9D+9E73lXwT1Px890iBPCfU\\u002fIyy+4vYN9T\\u002f082SBWBL1PxnCVqZ0FvU\\u002f\"},\"z\":{\"dtype\":\"f8\",\"bdata\":\"oZ6LW1LXsL9tcR6lA5uuv1LZuYDHgKu\\u002fg6nXArhfqL874oR5pTelv3D5SvRoCKK\\u002ffqjwsMijnb\\u002fH8XzFBCiXv4tXsTdtnZC\\u002fCpEPGPUHhL+YvFePtN1qvwFV4+Qd2mo\\u002fh\\u002fRZk5BBhD+bnkDYmfSQP7iO4Ndp1pc\\u002f72o\\u002fEtjFnj\\u002fHINMXOeGiP+edpYjZZaY\\u002fRt1yAYHwqT\\u002fsnYnj2ICtPw1rFOE\\u002fi7A\\u002fk46ZZoRYsj973Hqa\\u002fSe0P3zgWcZo+bU\\u002fza4pmXzMtz\\u002fzwwbh6KC5P3KNqU5Wdrs\\u002fwoYcRmZMvT9NiVPAsiK\\u002fP4S1jSBnfMA\\u002fF8tL8iFnwT9i8pPDS1HCPwO1DgWjOsM\\u002fjqKN2+IixD\\u002fdBbJhwwnFPwoi1Pn57sU\\u002fmVgZsDnSxj+RE0isM7PHPzZhh7KXkcg\\u002fijLYsRRtyT9KgLleWUXKP0iNEdgUGss\\u002fTU0nVPfqyz\\u002fptzHTsrfMPz9fydT7f80\\u002fhKNcDYpDzj9QoqkYGQLPPzqMMyZpu88\\u002fYQFWzp830D+6ZK7Ys47QP9coYXjZ4tA\\u002f8Pzd2vwz0T8eLn3GDYLRP9XAUsH\\u002fzNE\\u002fKlNJLMoU0j9GyuRRaFnSPw4mRWjZmtI\\u002f9C09hiDZ0j9Rvo2LRBTTP4j\\u002fk\\u002fxPTNM\\u002fAWr10VCB0z++2A49WLPTPw3HImJ64tM\\u002fKPZ0Cc4O1D8Y\\u002fq1IbDjUP\\u002fa8BiZwX9Q\\u002fmVfZNvaD1D9A4Eo7HKbUP3k+zbgAxtQ\\u002fnlA8lcLj1D8kXFO0gP\\u002fUP7LaKJlZGdU\\u002f99ZGDWsx1T864tXO0UfVP3XkKEepXNU\\u002fyoTJSgtw1T8DrPDjD4LVP5HVHSjNktU\\u002fNcVDGVei1T+aG8OSv7DVP5CILEIWvtU\\u002fcl+Gq2jK1T92dZU4wtXVP4TAcFIs4NU\\u002fkmJzhK7p1T9QxnKnTvLVPzEq9xMR+tU\\u002fB0IV2vgA1j8mG3D9BwfWPzGh27M\\u002fDNY\\u002fPEUSpaAQ1j\\u002fuafMpKxTWP8AwzInfFtY\\u002fQLlANL4Y1j9fSYj2xxnWPx5x0ir+GdY\\u002fEyrV4GIZ1j9yLLP++BfWP00RnVnEFdY\\u002fZSLGxckS1j8inn0dDw\\u002fWP0dpdT+bCtY\\u002fjFR2BHYF1j9C+vYsqP\\u002fVPy2NO0c7+dU\\u002ft53Rjjny1T8r2WHGrerVP7848gyj4tU\\u002fWUfMryTa1T\\u002fOikz6PdHVP6xh6QT6x9U\\u002fDqPAhGO+1T+yDvSchLTVPwpiDbNmqtU\\u002f6yCMRxKg1T+2bKHTjpXVP91p+qziitU\\u002f95xQ8BKA1T\\u002fsYEpzI3XVP\\u002fhABb4WatU\\u002f489xDO5e1T\\u002fKxXVXqVPVPzkAl2VHSNU\\u002fvqvB4sU81T8Rko5+ITHVP45YRRBWJdU\\u002fT2eyv14Z1T80E8oxNg3VP1Uy+7fWANU\\u002fFwYDgTr01D\\u002flugvKW+fUP0bU3Q412tQ\\u002fB63zN8HM1D+zjkzF+77UPzNk8vTgsNQ\\u002fHSNB5G2i1D9a\\u002fyCroJPUPwx4i3B4hNQ\\u002fH1Led\\u002fV01D\\u002ftka0mGWXUPw9V9QLmVNQ\\u002fgOK8qV9E1D8OL2y+ijPUP+FBQ9NsItQ\\u002fFDiOSwwR1D8PD1g4cP\\u002fTP4LngDCg7dM\\u002fHUg5JaTb0z8zVfozhMnTP9JxIndIt9M\\u002f9e9l1vik0z\\u002fIK0TYnJLTPzKmqnU7gNM\\u002fX57h8Npt0z\\u002fdosiwgFvTP3YhTiExSdM\\u002f4tDrme820z9OustKviTTP3OcDzGeEtM\\u002f9WeHEo8A0z\\u002fgxvSAj+7SPxYnyuSc3NI\\u002fhcAkj7PK0j+ttJPSzrjSP3DFEyLpptI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Qv2TH6+VNHtC\\u002f0syICrf2z7+3vB6oZ7DPv88PveS8ac+\\u002fyZ+V6sQiz7+++JbNjNvOv\\u002f\\u002fXko8glM6\\u002f99F8KItMzr\\u002fQN1GS1gTOv4oIJ9gLvc2\\u002fkGblJzN1zb+C3g3mUy3Nv9DQCMN05cy\\u002froxg0ZudzL\\u002fQCFqczlXMv1qKXz4SDsy\\u002ffry5dmvGy78Nfx6+3n7Lv+m5qVlwN8u\\u002fuHXjayTwyr8s9oYD\\u002f6jKv4Ew0CcEYsq\\u002fOU0n4jcbyr\\u002fwfBRFntTJvwLeeHA7jsm\\u002fJRIbkxNIyb+2DqfpKgLJv59JULuFvMi\\u002f31JTVCh3yL885p\\u002f+FjLIv9BO\\u002fvhV7ce\\u002f5mcKbemox79VfGNk1WTHv\\u002f+wcr0dIce\\u002fzIUpIMbdxr+KWxfz0ZrGv6rwL1FEWMa\\u002f9JeVACAWxr\\u002fbwrBqZ9TFv5iY05Uck8W\\u002fAAqcIEFSxb8oczk\\u002f1hHFvx\\u002fErLrc0cS\\u002fN7QL8lSSxL\\u002fuEMHdPlPEv6YlthSaFMS\\u002fKt9D02XWw7\\u002fAAb4DoZjDv+TWX0hKW8O\\u002fg2NYBmAew79euqxx4OHCv4mDoZnJpcK\\u002f13hZdRlqwr+DcVXwzS7Cv9Smg\\u002fbk88G\\u002f1hePf1y5wb9IPiWZMn\\u002fBv1iA729lRcG\\u002fXL4GV\\u002fMLwb++ybHN2tLAv1Y5S4MamsC\\u002fwJw3WbFhwL9RM+JininAv+lYh8fB47+\\u002fonkHl\\u002fB0v78KUaZgyAa\\u002fv3HhT49Imb6\\u002fAZQgu3Asvr8TObWVQMC9v4uUsdS3VL2\\u002fTUUWG9bpvL\\u002feMwfimn+8v8Tip2EFFry\\u002fLt2yehStu7\\u002fQE22hxkS7v5hWjcoZ3bq\\u002fCn2jWgt2ur+GgHoYmA+6v2g83SK8qbm\\u002f2SwP6nJEub9R9TEtt9+4v0hRtvuCe7i\\u002fZv3bus8XuL\\u002fC2igvlrS3vze6pInOUbe\\u002fEZiNeHDvtr9pQiA7c422v8MQ\\u002fLfNK7a\\u002fmgyWlXbKtb\\u002fcLSFUZGm1v\\u002f6FRmiNCLW\\u002f97MBVuintL+s7\\u002fPKa0e0v9GHgrcO57O\\u002fH8IcZsiGs7+IjhCQkCazvxUoZW9fxrK\\u002f8TJGzS1msr+XtaAM9QWyv63erDCvpbG\\u002ffEU731ZFsb8mhble5+Swv4P4\\u002f49chLC\\u002fozgY5LIjsL\\u002f5BJKczoWvvzAjn2Xuw66\\u002f\\u002fxiPpcABrr\\u002fcS7FrQT+tvxnbpiRtfKy\\u002fK97paEC5q7+7byTLt\\u002fWqv2Kn4qfPMaq\\u002f0isp+INtqb\\u002f48G0o0Kiovw4bWvWu46e\\u002f8j6bTxoep79D6N9HC1imv7RX6AN6kaW\\u002fCeRZvV3KpL9TpMLKrAKkv\\u002fyN9bJcOqO\\u002f3qGeSmJxor8k7aTbsaehv7XXplU\\u002f3aC\\u002fzmGWhv4RoL\\u002f40HC0xouev58nGz7E8Zy\\u002fZ+ftnd9Vm7+UCHqzBLiZv6mC\\u002ft4hGJi\\u002fS2z7kSh2lr9L70vXDdKUv\\u002fGBpM7KK5O\\u002fq6Z4F12Dkb+2uRhPjrGPvzNuoRMhWIy\\u002fmbw+BYz6iL\\u002fLOugt85iFv+6NxumEM4K\\u002fKvby8PKUfb8AviecJLx2v7b26JJkum+\\u002fbIOrRXvxYb8oghkBnntAv5VJIxvYd1M\\u002fyBYAP4udZz+2mNQIQMJyP1GBYlGtt3k\\u002fELF9WS5XgD96ELRZ1NKDPxDU2Zh9Toc\\u002f9vI5o+jJij8lIKpu30SOP9X1oHuc35A\\u002fzj\\u002fnT22ckj\\u002fvX0il3FiUP10p7w\\u002ftFJY\\u002fAmjGfKnQlz+2+c01JYyZP9y8LLJ7R5s\\u002foZsXMNACnT\\u002fpVbQXTb6eP1ignZMRPaA\\u002frC7gNEQboT8c\\u002fZl92\\u002fmhP4K0p8712KI\\u002f+XweEbK4oz8rnWrZLpmkPwY7oHuJeqU\\u002fiIrSFN1cpj+TN6KNQUCnP+28fZrKJKg\\u002flK9DvoYKqT8yOhZUfvGpPxblNqWy2ao\\u002fbbexDx3Dqz+hanZCrq2sP+A8PpNNma0\\u002f0IVFctiFrj+7+nL\\u002fIXOvP9yMAmJ5MLA\\u002fdWSlSYSnsD9uriRKix6xP5JmwbpilbE\\u002fSBqr5dkLsj88D1tMu4GyP96tlwDN9rI\\u002fP9k9EdFqsz8PypAJht2zP7NUeIGnTrQ\\u002fQArDvO69tD9uBTdXEyu1PxL3+vrLlbU\\u002fRImqHs\\u002f9tT87kz7I02K2PzDU01GSxLY\\u002fCaRKLcUitz99trejKX23P\\u002f7HqY2A07c\\u002ff8NhAY8luD\\u002fGLUL0HnO4PyfF7sz\\u002fu7g\\u002fH1jV4wYAuT+FrSPwDz+5P5qXgl\\u002f9eLk\\u002ffVJKl7ituT+6bkYeMt25PzfWha5hB7o\\u002f3Q8cL0Ysuj9huiGW5Uu6P6BRqbNMZro\\u002fl7PA5o57uj+QpPW9xYu6P+D3KYUQl7o\\u002fB2XRwpOduj+8+vWmeJ+6P6BWl27snLo\\u002fz0cjvh+Wuj\\u002fsjOP1RYu6P3h8S4OUfLo\\u002fo2MRMkJquj8CYPJ\\u002fhlS6P1PF5PWYO7o\\u002fjG9VibAfuj8cjtgHAwG6P6Syd4\\u002fE37k\\u002fm4d+FSe8uT8UI1f9WZa5PwkUsMCJbrk\\u002fvObKqd9EuT\\u002fZynOggRm5P8AzxAmS7Lg\\u002fL6V0ui++uD\\u002fhQif7dY64P\\u002fn3vp18Xbg\\u002fB82HIlgruD+m063rGfi3P6M9Qn3Qw7c\\u002fuOzax4eOtz\\u002fi4rB7SVi3P8okBmIdIbc\\u002f4DmMugnptj82lYGaE7C2Pxq\\u002fRUs\\u002fdrY\\u002fvJE5ppA7tj+tsOFrCwC2P5qTbJSzw7U\\u002f2gTyl42GtT\\u002fEb\\u002f6snki1P3RpP\\u002fzsCbU\\u002fV+BuyH\\u002fKtD9WruWJX4q0P\\u002fEzi\\u002f2VSbQ\\u002fuWckJy4ItD8rvk9HNMazP5TLwsW1g7M\\u002fawyhEMFAsz9iYv9xZf2yPwph3NyyubI\\u002fc2IBs7l1sj+1v2KFijGyP0nRrdA17bE\\u002fXCbBt8uosT\\u002fNlc69W2SxPzB+34H0H7E\\u002fnRtifaPbsD\\u002fC10vHdJewP\\u002fS2ON1yU7A\\u002fFHTEc6YPsD\\u002fVW0+eLJivP4X610mOEa8\\u002fqpacDneLrj9ijlG15wWuP5nD\\u002fancgK0\\u002fT5wOD078rD+RMqfjL3isPxTq9zty9Ks\\u002fRicDigFxqz+KStf0xu2qP2xh97uoaqo\\u002fLPVspIrnqT9xQc9sTmSpP\\u002fDXb0XU4Kg\\u002f9bvSSftcqD+zTKD4odinPzKEWaemU6c\\u002fXzVC7+fNpj9\\u002f1y8RRUemP4ZgNE6ev6U\\u002fwr9xM9U2pT9pdsHXzKykPyYRQgpqIaQ\\u002frlFHcZOUoz\\u002fe15aZMQajP5ddR\\u002fYudqI\\u002fbVQB0nfkoT8wUcIy+lChP8qvnrGlu6A\\u002f\\u002fgZMSGskoD8PsQItehafP\\u002fGz20Ic4J0\\u002ffcxWH6SlnD9IiErI+WabPysO3XQFJJo\\u002fwp3pDa\\u002fcmD8qA7q63ZCXP6McUX53QJY\\u002frDYI6WDrlD\\u002fCc6vhfJGTP8uQlYisMpI\\u002fK4GNNs\\u002fOkD89vLowhcuOP6ZWjs7F7os\\u002f8+lMexYHiT\\u002fiSXYMLBSGP5o\\u002fnwe7FYM\\u002fCPFe3HgLgD\\u002feFOeCOup5Pw8mG1nHpHM\\u002fC4wCbTOMaj\\u002fLYB0XAzdbP\\u002f4mUbg8rg0\\u002fThLo433FWb8j66SgUXFqv1ZOjz6cGnS\\u002fWiE9QjsXe7+6KSo2NReBv6A+3xD4r4S\\u002fXk+T8rlViL+tI00ZPwiMv3HCkHk8x4+\\u002fTxq3IizJkb8hKR9glbSTv8\\u002fXS66fpZW\\u002fwoQVEAucl78ACrejkpeZvyUsqJDtl5u\\u002ffH3ZDNCcnb85jgV07KWfv24aoDV62aC\\u002f8FFBBc3hob9Ni9aCyOuiv\\u002fSQK+dH96O\\u002fHLnnUygEpb8ysm1TSRKmv23bjkuNIae\\u002fuxVE4NkxqL\\u002fg5+1DGEOpv+bF\\u002fXI1Vaq\\u002fYTpYWSJoq7+iNjng03usv49F5uNCkK2\\u002f2s0CEWy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j9NRvc64PXhPzrzr3xU5uE\\u002fe3kbndLW4T8l3d+eV8fhP11fDsXgt+E\\u002fxufwoWuo4T9YAy0k9pjhP1np9KF+ieE\\u002f9IAJ4gN64T84K1wihWrhP6TdKxwCW+E\\u002flZqGBXtL4T9sQyaQ8DvhP8fSreVjLOE\\u002f7vVZodYc4T8wckXHSg3hP29+brnC\\u002feA\\u002fr\\u002fa1KkHu4D9s0xsQyd7gP6xihZBdz+A\\u002f4Tdh8wHA4D94fYKOubDgP7MskbOHoeA\\u002fUJ5unW+S4D9M4u1ddIPgPylbPcyYdOA\\u002fRUlbdN9l4D\\u002f8W+mHSlfgPy4krNDbSOA\\u002fQo76pJQ64D\\u002fHi1fedSzgP4oEZdJ\\u002fHuA\\u002ftUFTTrIQ4D+iieOUDAPgP9OoD74a698\\u002fnkE5vmXQ3z8fg1qN9bXfP2x6TZ3Em98\\u002fmJKjg8yB3z8nfsMSBmjfPzqquXZpTt8\\u002fsTQzVe403z8RlA3wixvfP+Fe2kk5At8\\u002f8hSvS+3o3j9FipTrns\\u002fePyCk6FJFtt4\\u002fCW0HBNic3j\\u002fdBJb+ToPeP0dv0uGiad4\\u002fSIdWDM1P3j8lIMq4xzXeP1ZMEBeOG94\\u002fnYWNYRwB3j+EpTfub+bdP6jdNDuHy90\\u002f3L\\u002fj9mGw3T9RgTsDAZXdPwSPiHRmed0\\u002fBuOdi5Vd3T8i8aarkkHdPyIj2EtjJd0\\u002f62ZM5Q0J3T+FA23dmezcP1uLTW0P0Nw\\u002fYyZwhnez3D9Idm6125bcPwzvCANGetw\\u002fx6Ah1MBd3D8oIijJVkHcP9ugep0SJdw\\u002fZzE8B\\u002f8I3D\\u002f7chqYJu3bPwWtdJ+T0ds\\u002fyOlMDlC22z\\u002fceWBdZZvbP+wBuXXcgNs\\u002f1Pj5m71m2z+MnKBeEE3bP6cfXofbM9s\\u002fkHSlDyUb2z+X43cY8gLbP6vJbeVG69o\\u002fKq7r2ibU2j+ZhGd\\u002flL3aP22aln+Rp9o\\u002fm4VStR6S2j9hifowPH3aP9hpD0XpaNo\\u002f6pvBkyRV2j+fMSUe7EHaP\\u002fDQu1Q9L9o\\u002fLGkDKRUd2j9pLbgfcAvaP6qEeWNK+tk\\u002fJw+E15\\u002fp2T+OdTYqbNnZP+xUG+eqydk\\u002f7h44iFe62T9EDmeGbavZP2w1iWjonNk\\u002fVA1l0cOO2T\\u002fNnA2M+4DZPzo0tpaLc9k\\u002fWajeK3Bm2T8l08vJpVnZPwjJRzgpTdk\\u002fT4ysjPdA2T\\u002fG+UIsDjXZP3EeBs1qKdk\\u002fXQvhdAse2T8dgIJ37hLZP3hd5nISCNk\\u002f8bO4Snb92D\\u002fPabkiGfPYP6vbSVj66Ng\\u002fx4JPexnf2D\\u002fQl5dGdtXYPxvY55cQzNg\\u002fdxHoZ+jC2D9Y6g7C\\u002fbnYPzyMurxQsdg\\u002f3HCbceGo2D\\u002fApJT2r6DYPyBnMVe8mNg\\u002f8zvMjgaR2D+7Un+DjonYP7Kr8QFUgtg\\u002f1bAPulZ72D\\u002fWH7k8lnTYP900afoRbtg\\u002f+RnZQsln2D\\u002f0xJdFu2HYP3+5jRPnW9g\\u002feateoUtW2D\\u002fXzJbK51DYP6TAjVW6S9g\\u002fgsbl98FG2D9Kyopb\\u002fUHYPyyjEiRrPdg\\u002fFghe9Ak52D\\u002fsklh02DTYPxqutVbVMNg\\u002fUm+IXv8s2D\\u002fyOpVkVSnYP3eOPVzWJdg\\u002fiHroV4Ei2D9zH82MVR\\u002fYPz\\u002fdB1ZSHNg\\u002f1cvmNncZ2D+XaV7cwxbYP+kknB04FNg\\u002fD2mx+9MR2D\\u002fTBFeglw\\u002fYPwcJzluDDdg\\u002fIHjooZcL2D8KOkkG1QnYP1yb7zc8CNg\\u002fmRYn\\u002fM0G2D\\u002fLIPgoiwXYP0wZOp90BNg\\u002fcTdpRIsD2D9CS2X8zwLYPylPP6NDAtg\\u002fYRc8B+cB2D\\u002fG0jHjugHYPyOVZNm\\u002fAdg\\u002ff8ADb\\u002fYB2D\\u002fm52YIXwLYP\\u002fu7JOb5Atg\\u002fbs4ZI8cD2D+ok2+zxgTYPwEfrmT4Bdg\\u002fIcbc3lsH2D8USa+m8AjYP81ytiC2Ctg\\u002fm4yElasM2D+Ona820A7YP01wlSQjEdg\\u002fOeW\\u002fdKMT2D9cUsM4UBbYP43BbIUoGdg\\u002fqN0Seisc2D\\u002f3atpHWB\\u002fYP\\u002f5RvjiuItg\\u002f7Jgrtiwm2D8YMQNP0ynYP4g11ryhLdg\\u002fyhc16Jcx2D8rL+\\u002frtTXYP4oSJhf8Odg\\u002fnPoe7mo+2D9e98MpA0PYP5zgzrXFR9g\\u002f7WKgrbNM2D+uLs5XzlHYP0jmeyAXV9g\\u002fh7uako9c2D9FgzNQOWLYP24r5gkWaNg\\u002f677PdSdu2D9WTw1Gb3TYPwkLFh\\u002fvetg\\u002f1VUpjqiB2D8H0Q4AnYjYPyjLZbjNj9g\\u002fzoi\\u002fyTuX2D8aQLwO6J7YPzSFXSTTptg\\u002f8Vy6Zf2u2D9\\u002fVTnpZrfYP0wMbH8PwNg\\u002fMaCds\\u002fbI2D\\u002fg8BrOG9LYP195MNh929g\\u002f4VDOoRvl2D\\u002fvsrfI8+7YP+OpGMEE+dg\\u002f81xS30wD2T9pXsViyg3ZP5xpWYF7GNk\\u002fkYl7c14j2T+Y1EaAcS7ZPwb1iAmzOdk\\u002f2bxSlyFF2T8QFcbiu1DZP1\\u002fG1d+AXNk\\u002f5NewxW9o2T\\u002fhgZoViHTZP63T+J\\u002fJgNk\\u002f5wJvhzSN2T\\u002fIqORByZnZP224aJeIptk\\u002fPGLtnnOz2T8pD+m4i8DZP8XF94fSzdk\\u002fpzun50nb2T+EMKbh8+jZP4ILnaHS9tk\\u002fLbIBaOgE2j9r1UJ8NxPaP94mrx7CIdo\\u002fjcqCeoow2j\\u002fdpIiYkj\\u002faPxKvvVLcTto\\u002fiShiSWle2j9mNt\\u002fZOm7aP7FZ3xdSfto\\u002fdiftyK+O2j\\u002fPDt5iVJ\\u002faP4ntPg1AsNo\\u002fGBHmpXLB2j+6XrrI69LaP+cuqtqq5No\\u002fZF62F6\\u002f22j97u9+j9wjbP9bMrp6DG9s\\u002fQ4b4OFIu2z\\u002fAZm7MYkHbP3s4dvS0VNs\\u002fI8W1p0ho2z8IwbFRHnzbP5pj1es2kNs\\u002fxfcxFZSk2z8hcEMoOLnbP3PsCE4mzts\\u002fU0HGjWLj2z+Z\\u002fs3Y8fjbP2kPwhHaDtw\\u002fe7nLDiIl3D\\u002fzK2KW0TvcPxyiUFbxUtw\\u002fC9\\u002fJ1Ipq3D8O8nVbqILcPwgliNxUm9w\\u002fIgcN0pu03D90+sIXic7cPynG8b8o6dw\\u002ffqfW44YE3T8dcllwryDdPzXC2++tPd0\\u002fFlkMUo1b3T8L0r2yV3rdP0xV0CAWmt0\\u002fiExJZtC63T+p87nSjNzdP+ikFQlQ\\u002f90\\u002fE8US0hwj3j84KSX080feP1TJDhLUbd4\\u002fQMXrkLmU3j9Qg4GGnrzePwJ1drB65d4\\u002flHDxdEMP3z9pOPXs6znfPyeJn\\u002fhkZd8\\u002fzblDXZ2R3z+Diyjtgb7fP+I1gLj9698\\u002fywKBI\\u002f0M4D\\u002f0ha\\u002fsLyTgP1sv0NiKO+A\\u002fZRyrMAFT4D9wZC4OhmrgPw0\\u002fb4cMguA\\u002fzWiS2oeZ4D9YRdyZ67DgP6DbJNcryOA\\u002f3i7rTT3f4D\\u002fquEaLFfbgP5To\\u002fBKrDOE\\u002fI2wLgfUi4T8Fkwan7TjhP4v1vKSNTuE\\u002fT4Wm+9Bj4T9nybyctHjhP9vnc\\u002fA2jeE\\u002fBLan2Feh4T+v1WysGLXhP35O0y18yOE\\u002fSIXFeYbb4T87UUvyPO7hP1iilCOmAOI\\u002ffiBJpMkS4j8J0rHxryTiP2mzZkhiNuI\\u002fa8I7eupH4j8Q9DbCUlniP7SKYpelauI\\u002f7w9Vf+174j8NqknhNI3iP0iUoNqFnuI\\u002fti+YFeqv4j++lQOjasHiP0P+s9cP0+I\\u002fRf42LuHk4j8f\\u002fXQt5fbiP362oVQhCeM\\u002forrUDJob4z+KLoKgUi7jP8ky7ThNQeM\\u002fVfON4YpU4z99IEaRC2jjP3sWIDnOe+M\\u002fi+032NCP4z8\\u002frVKUEKTjP6x8j9aJuOM\\u002fLW+JazjN4z+M6y6mF+LjP6IGhoQi9+M\\u002f7suL1VMM5D89jVdfpiHkP7oHqwQVN+Q\\u002fo34c6ZpM5D+CvxCTM2LkP\\u002fItyArbd+Q\\u002fBSrT9Y2N5D9hB1euSaPkPwLqpFUMueQ\\u002fu6++4dTO5D8kAoMlo+TkP2cfWNN3+uQ\\u002fFzJMelQQ5T83gcF9OyblPy6q2wcwPOU\\u002fG8sA9zVS5T98W93GUWjlP+3ScnWIfuU\\u002f45fPZN+U5T9bhyE6XKvlP5dO47oEwuU\\u002fAnjvqN7Y5T\\u002f2Mkqe7+\\u002flP2FndOk8B+Y\\u002f8IIXa8se5j+Es9F1nzbmP2Qc3rC8TuY\\u002fL0VE\\u002fiVn5j\\u002fO6CVl3X\\u002fmPwrYqgDkmOY\\u002fsV3w8zmy5j8IDUVj3svmP8PB23LP5eY\\u002f0oYBSwoA5z+0xcIhixrnP7ZAzUlNNec\\u002fB5s+RktQ5z82QPPifmvnP970z1Dhhuc\\u002foNBpRWui5z\\u002fgVF0dFb7nPwIylgDX2ec\\u002fgGu+B6n15z+qKQVigxHoP2HIa3peLeg\\u002f8KDKGzNJ6D8ol8aS+mToP55s\\u002fMyugOg\\u002fMgO3dEqc6D+NrJkIybfoP270vu4m0+g\\u002ftHjmgmHu6D+RxmgfdwnpP7MyxiBnJOk\\u002fao\\u002fE4zE\\u002f6T+PzS6+2FnpP5FEaPJddOk\\u002fbuginsSO6T+BZ6OkEKnpP6htF5VGw+k\\u002f+IWYjWvd6T86zYgbhffpP6hsBRqZEeo\\u002fslQ1j60r6j\\u002fXq0CJyEXqP0a7vvvvX+o\\u002fxs1knil66j8mgrjNepTqP024e27oruo\\u002fr7x31HbJ6j8uEzmtKeTqP2qtNe8D\\u002f+o\\u002fLwC9zQca6z+65fSxNjXrP7MuCDmRUOs\\u002fV9+MNxds6z8cDgnCx4frP47hXjqho+s\\u002fTfXKYaG\\u002f6z8JJgVvxdvrP0IG+ycK+Os\\u002fup6F\\u002fmsU7D\\u002f8F2ov5zDsP6zr5uJ3Tew\\u002fpZUFThpq7D+up+PTyobsP\\u002f++JSaGo+w\\u002fsCvLY0nA7D\\u002fpCKI1Et3sPwffqOfe+ew\\u002ftmK8fq4W7T9ZGQXKgDPtP1kjsW9WUO0\\u002fypmh9DBt7T8WM9C+EortP7uYUBL\\u002fpu0\\u002fQUzwCPrD7T+dd5eECOHtP+rSqxww\\u002fu0\\u002fHznUBncb7j\\u002fl5Zb74zjuP5AOZRd+Vu4\\u002fngG8uEx07j\\u002f0uBVcV5LuP7FocHalsO4\\u002fAr49Tz7P7j+AAI\\u002faKO7uP8H+UpRrDe8\\u002fNJ11XQwt7z8tHKdbEE3vP+nvgtx7be8\\u002ff5+7PFKO7z9b9trTla\\u002fvPz1lDOVH0e8\\u002fj0dLlWjz7z+oQphz+wrwP3uvPV54HPA\\u002fJ2iobiku8D9yS4aCDEDwPw6hL\\u002foeUvA\\u002fnz0rxF1k8D\\u002f3S+hqxXbwP9GUYSRSifA\\u002f2xVT4\\u002f+b8D+Ul6Fpyq7wP0DrjFutwfA\\u002fnblAU6TU8D\\u002f6aVX0qufwP5K50v68+vA\\u002ftBlIYdYN8T90z5NJ8yDxP8L7+DMQNPE\\u002fwwAu+ClH8T8G9xfUPVrxPxTR9HNJbfE\\u002fRyLE90qA8T9g6s31QJPxP7H4NnoqpvE\\u002f2BCjAwe58T\\u002fBn\\u002fV81svxP74gUjSZ3vE\\u002ftPiMz0\\u002fx8T8bLkw++wPyP4avJKqcFvI\\u002fmYUMZTUp8j++FYTWxjvyP7RL4GdSTvI\\u002fSOwkcNlg8j8CXuEfXXPyP1bKgm3ehfI\\u002fq5iMAl6Y8j+59CMq3KryPy1rVMFYvfI\\u002fQ85qKdPP8j8gt7g8SuLyPyJVBka89PI\\u002fsBPq+iYH8z89Qi55hxnzP8enXEfaK\\u002fM\\u002flR93WBs+8z+1X9MSRlDzP0Y4\\u002f1lVYvM\\u002fg06Cm0N08z9C50LeCobzPy0VRdSkl\\u002fM\\u002fo9lu7gqp8z8zwvBxNrrzP8h96Y4gy\\u002fM\\u002fNgDUd8Lb8z93Lkt5FezzPwLWqxET\\u002fPM\\u002fouMdCLUL9D+WapCC9Rr0P7YBORrPKfQ\\u002f2S4u7jw49D\\u002fh4L2zOkb0PygjLMTEU\\u002fQ\\u002fHQeTJ9hg9D\\u002fV86qccm30P4TWUZ2SefQ\\u002fm7+3XzeF9D\\u002fW+yfUYJD0Pw9adp8Pm\\u002fQ\\u002f77YoEkWl9D\\u002fuxYQcA6\\u002f0PyQRuT9MuPQ\\u002f1QZmfCPB9D8iYNg+jMn0P3n7UEmK0fQ\\u002fyT6\\u002fnCHZ9D\\u002fkDlpgVuD0PwRHiMgs5\\u002fQ\\u002faUqM\\u002fajt9D\\u002fGw2YCz\\u002fP0P8DvYpyi+fQ\\u002fcPm6Oyf\\u002f9D+9E73lXwT1Px890iBPCfU\\u002fIyy+4vYN9T\\u002f182SBWBL1PxnCVqZ0FvU\\u002f\"},\"z\":{\"dtype\":\"f8\",\"bdata\":\"oZ6LW1LXsD9tcR6lA5uuP1LZuYDHgKs\\u002fg6nXArhfqD874oR5pTelP3D5SvRoCKI\\u002ffqjwsMijnT\\u002fH8XzFBCiXP4tXsTdtnZA\\u002fCpEPGPUHhD+YvFePtN1qPwFV4+Qd2mq\\u002fh\\u002fRZk5BBhL+bnkDYmfSQv7iO4Ndp1pe\\u002f72o\\u002fEtjFnr\\u002fHINMXOeGiv+edpYjZZaa\\u002fRt1yAYHwqb\\u002fsnYnj2ICtvw1rFOE\\u002fi7C\\u002fk46ZZoRYsr973Hqa\\u002fSe0v3zgWcZo+bW\\u002fza4pmXzMt7\\u002fzwwbh6KC5v3KNqU5Wdru\\u002fwoYcRmZMvb9NiVPAsiK\\u002fv4S1jSBnfMC\\u002fF8tL8iFnwb9i8pPDS1HCvwO1DgWjOsO\\u002fjqKN2+IixL\\u002fdBbJhwwnFvwoi1Pn57sW\\u002fmVgZsDnSxr+RE0isM7PHvzZhh7KXkci\\u002fijLYsRRtyb9KgLleWUXKv0iNEdgUGsu\\u002fTU0nVPfqy7\\u002fptzHTsrfMvz9fydT7f82\\u002fhKNcDYpDzr9QoqkYGQLPvzqMMyZpu8+\\u002fYQFWzp830L+6ZK7Ys47Qv9coYXjZ4tC\\u002f8Pzd2vwz0b8eLn3GDYLRv9XAUsH\\u002fzNG\\u002fKlNJLMoU0r9GyuRRaFnSvw4mRWjZmtK\\u002f9C09hiDZ0r9Rvo2LRBTTv4j\\u002fk\\u002fxPTNO\\u002fAWr10VCB07++2A49WLPTvw3HImJ64tO\\u002fKPZ0Cc4O1L8Y\\u002fq1IbDjUv\\u002fa8BiZwX9S\\u002fmVfZNvaD1L9A4Eo7HKbUv3k+zbgAxtS\\u002fnlA8lcLj1L8kXFO0gP\\u002fUv7LaKJlZGdW\\u002f99ZGDWsx1b864tXO0UfVv3XkKEepXNW\\u002fyoTJSgtw1b8DrPDjD4LVv5HVHSjNktW\\u002fNcVDGVei1b+aG8OSv7DVv5CILEIWvtW\\u002fcl+Gq2jK1b92dZU4wtXVv4TAcFIs4NW\\u002fkmJzhK7p1b9QxnKnTvLVvzEq9xMR+tW\\u002fB0IV2vgA1r8mG3D9BwfWvzGh27M\\u002fDNa\\u002fPEUSpaAQ1r\\u002fuafMpKxTWv8AwzInfFta\\u002fQLlANL4Y1r9fSYj2xxnWvx5x0ir+Gda\\u002fEyrV4GIZ1r9yLLP++BfWv00RnVnEFda\\u002fZSLGxckS1r8inn0dDw\\u002fWv0dpdT+bCta\\u002fjFR2BHYF1r9C+vYsqP\\u002fVvy2NO0c7+dW\\u002ft53Rjjny1b8r2WHGrerVv7848gyj4tW\\u002fWUfMryTa1b\\u002fOikz6PdHVv6xh6QT6x9W\\u002fDqPAhGO+1b+yDvSchLTVvwpiDbNmqtW\\u002f6yCMRxKg1b+2bKHTjpXVv91p+qziitW\\u002f95xQ8BKA1b\\u002fsYEpzI3XVv\\u002fhABb4WatW\\u002f489xDO5e1b\\u002fKxXVXqVPVvzkAl2VHSNW\\u002fvqvB4sU81b8Rko5+ITHVv45YRRBWJdW\\u002fT2eyv14Z1b80E8oxNg3Vv1Uy+7fWANW\\u002fFwYDgTr01L\\u002flugvKW+fUv0bU3Q412tS\\u002fB63zN8HM1L+zjkzF+77UvzNk8vTgsNS\\u002fHSNB5G2i1L9a\\u002fyCroJPUvwx4i3B4hNS\\u002fH1Led\\u002fV01L\\u002ftka0mGWXUvw9V9QLmVNS\\u002fgOK8qV9E1L8OL2y+ijPUv+FBQ9NsItS\\u002fFDiOSwwR1L8PD1g4cP\\u002fTv4LngDCg7dO\\u002fHUg5JaTb078zVfozhMnTv9JxIndIt9O\\u002f9e9l1vik07\\u002fIK0TYnJLTvzKmqnU7gNO\\u002fX57h8Npt07\\u002fdosiwgFvTv3YhTiExSdO\\u002f4tDrme82079OustKviTTv3OcDzGeEtO\\u002f9WeHEo8A07\\u002fgxvSAj+7SvxYnyuSc3NK\\u002fhcAkj7PK0r+ttJPSzrjSv3DFEyLpptK\\u002f2UmANfyU0r\\u002fJ5pcyAYPSv239ltnwcNK\\u002fFmhTtMNe0r+TirVGckzSv1pKYj\\u002f1OdK\\u002f2Wdop0Un0r+u8MkPXRTSv9jvx7s1AdK\\u002fV8jqxsrt0b\\u002f+Q9xFGNrRv6SuSGEbxtG\\u002flIYhatKx0b\\u002fjdcXmPJ3RvyBrvZhbiNG\\u002f7K3sejBz0b\\u002fylUC4vl3Rv5T1GpsKSNG\\u002f+TPfdRky0b+kZDSF8RvRv4NgtcyZBdG\\u002figzq7hnv0L9Rw4EBetjQv\\u002f+P3V7CwdC\\u002fywcJdvuq0L9TskmaLZTQv9ribtNgfdC\\u002fzpwGsJxm0L9HwY8a6E\\u002fQv6ugrjJJOdC\\u002fSaBPK8Ui0L\\u002f9jYQuYAzQvzmEio867M+\\u002fWGgoqvy\\u002fz78GRbn+B5TPv8nfZXRbaM+\\u002ffPTjlfM8z79IGAWuyhHPv2WA2\\u002fHY5s6\\u002fvJ5itxS8zr9op0y3cpHOvw\\u002fqUVjmZs6\\u002fEx8lAmI8zr+7uQF21xHOv1QYqCo4582\\u002fVNCHqXW8zb9PyNLqgZHNvw9yPK5PZs2\\u002f4wE\\u002fztI6zb8lZeSLAA\\u002fNv78PQdHP4sy\\u002fqkoKaTm2zL+FBPcpOInMv5+J5xTJW8y\\u002fjRMkZestzL9+x1mSoP\\u002fLv\\u002fpVV0Ts0Mu\\u002f+tDjONShy7+DSGEcYHLLvxIzP1aZQsu\\u002fzpmMyooSy7\\u002fJlD2SQOLKv+A98avHscq\\u002fF3kzpy2Byr+2sFdMgFDKv1gZHkPNH8q\\u002fWMlbuiHvyb\\u002fEvNYSir7Jv3f+cY8Rjsm\\u002fhx6kDMJdyb9MvwPBoy3Jv610fAi9\\u002fci\\u002fX+J6OxLOyL+4mxOTpZ7Iv6SY1hp3b8i\\u002f5CCrsIRAyL9K7LcSyhHIv0ENA\\u002ftA48e\\u002fiykfSOG0x7\\u002fNpekxoYbHv+SwEYl1WMe\\u002fH2Xc\\u002f1Eqx79mG2B6KfzGv3f3QWTuzca\\u002fssLdCZOfxr\\u002fGMaryCXHGvyI0ozpGQsa\\u002fExuJ6DsTxr+cHNY+4OPFv3V9awUqtMW\\u002fdLsjyhGExb+BVa4WklPFv+HtWpqnIsW\\u002fVu3CRlHxxL\\u002fBuZBekL\\u002fEvzAX+HVojcS\\u002f51zKZN9axL8\\u002ftGgq\\u002fSfEvziGLMTL9MO\\u002feYEw91bBw7+gSbEOrI3Dv2scgpDZWcO\\u002fHuVN6e4lw79n7o4S\\u002fPHCv+p9TTQRvsK\\u002fAkXPRD6Kwr9yKG6oklbCv4knzNMcI8K\\u002fNjmM8unvwb8AKJ2UBb3BvyF8\\u002fGN5isG\\u002f0lql5ExYwb+VHyNAhSbBvwjY+h0l9cC\\u002fgFXTiSzEwL8kD\\u002fPnmJPAv+t9V\\u002fhkY8C\\u002f2OxU6IgzwL+L7Vly+gPAv6VfQRZaqb+\\u002f1o6YNiRLv7+NaFSIMu2+v4PFJVxhj76\\u002fYV5fvYoxvr9f3oYqh9O9vxbv6FUudb2\\u002fZ00K6lcWvb\\u002fz6sRN3La8vzvn7WOVVry\\u002fCTqHQl\\u002f1u78iC73dGJO7v209QaOkL7u\\u002fMnH9AunKur99CYri0GS6v+WVXPlL\\u002fbm\\u002fYg8uFE+Uub9THa4+1Cm5v3lqMNPavbi\\u002fbUiYcGdQuL\\u002fJ11nXg+G3v9gr864+cbe\\u002fxyfANav\\u002ftr9pM37d4Iy2vy3KNtf6GLa\\u002fNzOXkRektb94vfYsWC61vy2Kcujft7S\\u002f9ayVi9NAtL+rLf7PWMmzv33LU86VUbO\\u002fkk+1cbDZsr8lVH70zWGyv7+l82gS6rG\\u002fLTcCUKBysb8vv84\\u002fmPuwv+yGXZsYhbC\\u002f9dodXD0PsL+ChUzbPzSvv2nR4jauS66\\u002fdmHlH+5krb8s7M\\u002fHIoCsvxlCzXhqnau\\u002f9pyP6968qr8OlZeyld6pvwnkJLagAqm\\u002fpPC6uw4pqL+z2vfz61Gnvwr7d4lCfaa\\u002fyjihKxurpb\\u002frx3eQfdukv4iPBulwDqS\\u002fAlhtRPxDo7+b9EneJnyivzMg61X4tqG\\u002fK3OGzHj0oL\\u002fd74DpsDSgv1ZTaolT756\\u002fvbb5btl6nb\\u002fGpi8sBgycvxQLo6fropq\\u002fecD3KZo\\u002fmb\\u002fdSOhkH+KXvyxI0mWFipa\\u002f65P7fNE4lb+lwkgjA+2Tv4DBWegSp5K\\u002fsifzcvFmkb+E+kOdhiyQv2fb8mth742\\u002ftfRh3IeQi7\\u002fOU3X2EzyJv\\u002fd8kuOD8Ya\\u002fxLdZvUCwhL\\u002f2QyI\\u002fn3eCv8X9+PjgRoC\\u002fuEweBGw6fL9qN\\u002fRJfvN3v0tdYvkgt3O\\u002f0E7R19EGb79fVS+XvKxmv3N8mxkPuFy\\u002fXvBN\\u002ffBCSL8ajia\\u002fQMgxP7bb8vYJClU\\u002fif5JbcfWYj86+SFkmzFrP9sCeCc\\u002fzHE\\u002fIozcfQkHdj\\u002feaJmYS0p6P7mhSKDtln4\\u002ffSt08s52gT+Pdfh3Z6eDPyzJ+2pb3YU\\u002fvvXy56cYiD89UPkNLVmKP3xUSY+vnow\\u002f9Qzh2drojj\\u002fnVV7moZuQP65ZRvW1xJE\\u002fMKHPe2Lvkj8LUPl2WhuUP+9VEhhNSJU\\u002ftlgf8ed1lj+KuiEn2aOXP\\u002fEM95zR0Zg\\u002fFAOgCYf\\u002fmT+kCSnttSybP8jvKlgjWZw\\u002fm2Ljep6EnT+kQTXyAa+eP1sdcMo02J8\\u002fVXnBmBWAoD\\u002fExRZqcxOhP4rc6HE7pqE\\u002f84hS4ns4oj8XyBMzScqiP\\u002fbo7qS9W6M\\u002fk7kon\\u002fjsoz+DEB3rHX6kP+VCsdJUD6U\\u002f0hApJ8egpT88gHs2oDKmPygPuLULxaY\\u002fuZpWpzRYpz8eSmtEROynP+bLqu9ggag\\u002ffWXyOK0XqT9W7qP3Rq+pP80imoFGSKo\\u002fogzJA77iqj9Mz8wAuX6rP0MCvPg7HKw\\u002fxK+PPES7rD8AYmDux1utP5IenC62\\u002fa0\\u002fhsg7dfegrj+mLeYUbkWvP9Ty4uT26q8\\u002flS\\u002fjBrVIsD8\\u002fce\\u002f5TZywP6\\u002fm1Rwv8LA\\u002f+nQDakBEsT93RpqUaZixP8Mr4ZmS7LE\\u002ftyX\\u002fUKRAsj+wdG\\u002f1iJSyP2nRuKgs6LI\\u002f+84m6H07sz\\u002fLnI3zbY6zP3iyfCLx4LM\\u002fCi2yJf8ytD8BIhwzk4S0Py3rOxus1bQ\\u002fbiJOR0wmtT\\u002feKi2geXa1PzcfeF49xrU\\u002ffiAZxaMVtj+YsdDHu2S2P\\u002fKW7J+Ws7Y\\u002foVrEUUcCtz+3Mvkl4lC3PxMSyBl8n7c\\u002fDQ\\u002f5SSrutz\\u002fXcx1cAT24P4uw3OkUjLg\\u002fupIH8nbbuD+EtghTNyu5P5nQEVJje7k\\u002ft3wYMgXMuT\\u002fOeVTdIx26P+X6fqPCbro\\u002fCLSRDuHAuj+erTfPehO7P8EYjcGHZrs\\u002faggyCvy5uz9m0xlLyA28P8TN6e7ZYbw\\u002fM70piRu2vD\\u002fSgAJJdQq9Pzw5z3vNXr0\\u002fPtldHAmzvT\\u002f+C2hrDAe+P1D3jo27Wr4\\u002f6Db9Kvutvj8bksMMsQC\\u002fP4zjDrTEUr8\\u002fZE545x+kvz9eeusyr\\u002fS\\u002fP9zodysxIsA\\u002fg+JDUpZJwD9Rv6ihgnDAP4orDrDzlsA\\u002fGUJdIem8wD9OpzmlZOLAP4TkjehpB8E\\u002f+k6\\u002fev4rwT8Ehi2nKVDBP9rT7UP0c8E\\u002foZL5dmiXwT\\u002fXXkZzkbrBP9+7dS973cE\\u002fdXf2FzIAwj93YpO+wiLCP0f6f4k5RcI\\u002fysP7Y6Jnwj8AE6ByCIrCP03NWc11rMI\\u002fM7jxQPPOwj8vv9oZiPHCP7I+x\\u002fk5FMM\\u002fVAVGuQw3wz\\u002fu3F5WAlrDP7u21vAafcM\\u002f9uZu1FSgwz+BMxuRrMPDP+fo0SAd58M\\u002fgM5BGqAKxD+wx2XvLS7EP+k6nza+UcQ\\u002fz+S4\\u002fEd1xD\\u002frT\\u002fUdwpjEP+VMGKQjvMQ\\u002fRM8yJ2TfxD8jit0ufALFP8tLgZFlJcU\\u002f5thMzxtIxT8g\\u002foZmnGrFP\\u002fd\\u002fCB\\u002fnjMU\\u002f5u7TSv6uxT9bT\\u002fj55tDFP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9Hid9F80eI\\u002fBOKveYzD4j8+yZ8AobXiP\\u002fnBp060p+I\\u002f2kQiU8CZ4j8LnsEnv4viPxnCJDOrfeI\\u002fc+fSSX9v4j\\u002f2vtfMNmHiP7o9ScXNUuI\\u002fAk8T\\u002fEBE4j\\u002fg9XwNjjXiPyvP9HezJuI\\u002fFtvPpbAX4j+ERcTxhQjiP4DJCaY0+eE\\u002ff4Mp9r7p4T+5x6bzJ9rhP54cyX1zyuE\\u002f2RTsLKa64T8CxdM5xarhP7Ffm2HWmuE\\u002fMZfmxt+K4T9qWA3R53rhP63uAwr1auE\\u002f+HTH+w1b4T9IihcOOUvhP+uUQmV8O+E\\u002fMpzBwt0r4T9\\u002fIVRoYhzhP93AO\\u002f4ODeE\\u002fXS4jfef94D8e5yQc7+7gPwg3TEMo4OA\\u002fda3PgpTR4D8dbiePNMPgP1erBEIIteA\\u002fYbcSoA6n4D85J07jRZngP+ElpImri+A\\u002ffepzZzx+4D8b1Ha99HDgPxJzgVHQY+A\\u002fOCaBicpW4D8JNQ+I3kngP1Gq60kHPeA\\u002fBr+vwz8w4D8DYAn\\u002fgiPgP90p1zbMFuA\\u002fD+eF8RYK4D9wyDsyvvrfP0zX\\u002fSBC4d8\\u002f5PO5irPH3z9Ngkp9Da7fPxqNFE5MlN8\\u002fznkcp2163z8cLPeLcGDfP\\u002fMRqVZVRt8\\u002fk7a0rB0s3z9BH8hszBHfP+9IopVl994\\u002fx7DvJu7c3j9REP38a8LeP5GxOajlp94\\u002fi3WWQWKN3j8Be9s86XLePwccFDqCWN4\\u002fdrAv1zQ+3j+MXu2CCCTePzaRGlIECt4\\u002f9+4W2C7w3T9piHYDjtbdP1AnfP8mvd0\\u002f1w0DG\\u002f6j3T\\u002fj\\u002fEm1FovdP7796TBzct0\\u002fkDEb7RRa3T8L0kFF\\u002fEHdP0OalpYoKt0\\u002fYOmYS5gS3T+U\\u002fNbsSPvcP6BfejY35Nw\\u002fwdXsMV\\u002fN3D\\u002frC9VSvLbcP+fImpZJoNw\\u002ftEqYpQGK3D8RMxr13nPcP\\u002fLEUOnbXdw\\u002fuhZc9vJH3D+s9Ki\\u002fHjLcPyII5TRaHNw\\u002fp+zlq6AG3D8ghPf27fDbPxdhIXc+29s\\u002fT7wQKo\\u002fF2z\\u002f+TnOz3a\\u002fbP\\u002ffHrmEomts\\u002f\\u002f4\\u002f\\u002fLW6E2z9Gbie4rm7bP62W8D3qWNs\\u002fNRjjjiFD2z+u6KD8VS3bP1hxb0iJF9s\\u002f3R6Ejr0B2z\\u002fUzbMv9evaP+TPKroy1to\\u002f8rDU0XjA2j\\u002f66xcZyqraP9SVghopldo\\u002fpvz5M5h\\u002f2j+8tvCDGWraP9MZFdmuVNo\\u002fKyDWpFk\\u002f2j\\u002f79QbxGiraP39p0ljzFNo\\u002fnOcXBeP\\u002f2T96NzSs6erZP0llIZUG1tk\\u002f7djDnTjB2T8s+SZEfqzZP+5wWrLVl9k\\u002fIpWSzDyD2T\\u002fp1yJBsW7ZP1De4JkwWtk\\u002fZ9B5TrhF2T8B3EHXRTHZP7iPB8DWHNk\\u002fnIB5umgI2T9NXLSv+fPYPxnEmdCH39g\\u002f9bOcpBHL2D\\u002fjVb4WlrbYP0p\\u002fhYAUotg\\u002fRDDLsoyN2D\\u002fkxEb8\\u002fnjYPzGc1C1sZNg\\u002fSVCBnNVP2D++xHEhPTvYP1npzBelJtg\\u002fJcLWWBAS2D8+0HQ2gv3XP40qWnT+6Nc\\u002f4VQdQInU1z9YK3soJ8DXP9MVCRTdq9c\\u002f4kyVN7CX1z+jfW4MpoPXPx3TxEbEb9c\\u002fQqtNzBBc1z+DZ0mrkUjXP\\u002fc\\u002fABJNNdc\\u002fODXARkki1z+RmlugjA\\u002fXPzClHX8d\\u002fdY\\u002flVkhRgLr1j85dO9UQdnWPxbTQQHhx9Y\\u002fB7bGkOe21j92ErwyW6bWP5JRO\\u002flBltY\\u002fyScQ0qGG1j9hvfl+gHfWP438O43jaNY\\u002fUFVvTNBa1j9AX4fES03WP6ofFKtaQNY\\u002f7v7NVwE01j9IMom4QyjWP\\u002f4fukQlHdY\\u002f6o\\u002fA8KgS1j8S2zoh0QjWP\\u002fdOrJ6f\\u002f9U\\u002fRC\\u002fKiRX31T\\u002f2ychQM+\\u002fVPzSbBab459U\\u002fxkZseGTh1T\\u002faBfLtdNvVP1n6fWAn1tU\\u002fWaOMXXjR1T8BiNGoY83VP3dEDELkydU\\u002f5r81bvTG1T9ryRfEjcTVP0QhTTypwtU\\u002f9YOSRD\\u002fB1T9KOjvWR8DVP52OhY+6v9U\\u002f0vJ1z46\\u002f1T9CPcvTu7\\u002fVPwjEi9g4wNU\\u002f8+CaOP3A1T9oELmOAMLVP0\\u002fnRtY6w9U\\u002fne0ci6TE1T8VUMjHNsbVP5iOfmHrx9U\\u002fNeAgAb3J1T\\u002f9\\u002fLI4p8vVP1wwuJSmzdU\\u002fH8n8qLjP1T\\u002fVz2gY3NHVP6vqkpcQ1NU\\u002fW+zm6VbW1T86F1LZsNjVPxvmhigh29U\\u002fCGwKgKvd1T8+SV1WVODVP\\u002fD7sNMg49U\\u002f8Sy3sRbm1T95ujIYPOnVP8f4CHeX7NU\\u002faUGkXi\\u002fw1T\\u002fZ6IZXCvTVPxOZ9rku+NU\\u002fmoyrhqL81T8CAG1BawHWPyxcfM6NBtY\\u002f7yqjUw4M1j\\u002fgFKUd8BHWP1xNv4o1GNY\\u002funPC+t8e1j+4qDPF7yXWPwAnvjVkLdY\\u002fH+EYjzs11j89a1wUcz3WPzu6nRgHRtY\\u002fXwJ7FPNO1j9PNyLBMVjWP+hVNTi9YdY\\u002fF6HQF49r1j+SLdupoHXWP5FAsw3rf9Y\\u002fncU2Y2eK1j9N+xz2DpXWP7rLkWjbn9Y\\u002f+UcF3Maq1j8oeSoXzLXWPxcLMKjmwNY\\u002fGvNSAhPM1j8SqQaWTtfWP480D+OX4tY\\u002fWXMOhO7t1j8ZuS4zU\\u002fnWPzk8wMfHBNc\\u002f\\u002fqTLLE8Q1z8uZMlQ7RvXP9cO2g6nJ9c\\u002f674GEoIz1z97RTizhD\\u002fXP17Jt9K1S9c\\u002foUUqrhxY1z+maBG0wGTXP5\\u002fd7lWpcdc\\u002fuIUy2t1+1z\\u002f0MCAvZYzXP1XO1b9Fmtc\\u002fatCPTIWo1z8E2DbHKLfXP5T7JzU0xtc\\u002fg8kIl6rV1z\\u002f5LlLXjeXXP++dEsDe9dc\\u002fcDI5+JwG2D8lU4oIxxfYP22ZK2haKdg\\u002fw\\u002fmBkFM72D+MfusXrk3YP3K2rtJkYNg\\u002f4IBO+XFz2D92TUpTz4bYPwhHMmV2mtg\\u002fNCXdoGCu2D9FTHuWh8LYPzEIOSXl1tg\\u002fEXMgqnPr2D+FH\\u002fMrLgDZPzvew4IQFdk\\u002fBKMxehcq2T9fJkXtQD\\u002fZP+OvGtuLVNk\\u002fh46vc\\u002fhp2T9DFF4ciH\\u002fZPw4vyms9ldk\\u002fH5s6HRyr2T88sZX7KMHZP\\u002f1\\u002fc8Rp19k\\u002fqqrvA+Xt2T+W8RrqoQTaP5jdHBuoG9o\\u002flXNAe\\u002f8y2j9s3En4r0raP5KGjVHBYto\\u002fLZhS4Dp72j8R7BFiI5TaPwnqH8aArdo\\u002fGytCAFjH2j\\u002fHJZrhrOHaPx53LPmB\\u002fNo\\u002fLmYhfdgX2z8f3qc9sDPbP7JpKaIHUNs\\u002f3xE9sdts2z+314EjKIrbP0WEQYHnp9s\\u002fe25zShPG2z9ycm4opOTbP1B4UyiSA9w\\u002fMV74\\u002fNQi3D8Zn99GZELcP4E\\u002fleA3Ytw\\u002fk9yeLUiC3D+bbwxqjqLcP05+ovgEw9w\\u002fysiNrafj3D\\u002fulJQTdATdP8SqyqlpJd0\\u002fSdPqF4pG3T8sxqJX2WfdP2MwVNFdid0\\u002fNtcNayCr3T8cg8mILM3dP1HKTP2P790\\u002fGTxi61oS3j\\u002fx53uXnzXeP0qvLSpyWd4\\u002fiRdLZOh93j+iN89FGaPeP9m0C6kcyd4\\u002fj27r0wrw3j91eVwB\\u002fBffPxSQMeUHQd8\\u002fWoX7LEVr3z9zOX4AyZbfP5\\u002f6eISmw98\\u002fXV9\\u002fYu7x3z+mjkos1xDgPy2Nkml4KeA\\u002fLSXhSd5C4D8uQXQzCl3gP1SoVnX7d+A\\u002fNDv\\u002fM6+T4D9zQddfILDgP3saFbZHzeA\\u002fy2sizBvr4D\\u002f0k4wlkQnhP3PxRFSaKOE\\u002fIby9IihI4T9lCTnHKWjhP25cax+NiOE\\u002fMg5j8z6p4T97CHs+K8rhPxzF+nw96+E\\u002fviXo\\u002fGAM4j+aQnowgS3iP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9G\\u002fuqhp7u5k0b\\u002f578sJNVLRvw28ziFAP9G\\u002f03PlbRQs0b93nKL+thjRvyApZp0tBdG\\u002fFepAp37x0L+KdyTksN3Qvyr7i1vLydC\\u002fmdXWJ9W10L9NGZJJ1aHQv9g46XvSjdC\\u002fYFdpC9N50L\\u002fZ3S2w3GXQvw38cGz0UdC\\u002fVGtYcB4+0L9vI68DXirQv9fbEHa1FtC\\u002fMmfdFSYD0L82\\u002fTJcYN\\u002fPvw+BYxamuM+\\u002fH5rJDBqSz78zldcut2vPvzvdnNd2Rc+\\u002flvlTBlEfz78bBCWfPPnOv09aN7Iv086\\u002fO1oHxx+tzr+cu90pAofOvwIDPjnMYM6\\u002fb7QosXM6zr859yPy7hPOv9GOIUI17c2\\u002f7UaKBT\\u002fGzb+uw\\u002fPuBZ\\u002fNv\\u002fdLTCSFd82\\u002fi6KWWLlPzb9HJKTZoCfNv+zTkpE7\\u002f8y\\u002fOlgt\\u002fIrWzL9LzqEQkq3Mv6FTVyBVhMy\\u002fVBj3q9lazL88jgIwJjHMv1gUi+pBB8y\\u002f+b7OmzTdy79cWKBDBrPLv3uJld2+iMu\\u002f2L78HWZey79PtZQxAzTLv2bg6YGcCcu\\u002fFLUagDffyr\\u002fsSZR32LTKvycFHmqCisq\\u002f4tRG9jZgyr9sjvpI9jXKvwehtBq\\u002fC8q\\u002fynxwuI7hyb95OSIYYbfJv5h+Lfgwjcm\\u002fW7v\\u002fCPhiyb+\\u002fl6cfrzjJv788AHBODsm\\u002ff3jNzM3jyL92dPfrJLnIvxv38qxLjsi\\u002fuvhOXzpjyL\\u002f9QVoH6jfIv8oY3J5UDMi\\u002f4X\\u002fxT3Xgx79hvUSoSLTHv5XSBcPMh8e\\u002f2A9HaAFbx78gcacg6C3HvyYegzyEAMe\\u002feTw3ztrSxr8zBF+X8qTGv+1kSunTdsa\\u002fmSFIeYhIxr\\u002fev7MpGxrGv7SrCMmX68W\\u002fWluFyAq9xb+LECnsgI7Fvz9QC\\u002fYGYMW\\u002fptgzT6kxxb9OmjOwcwPFv9Q8ystw1cS\\u002fg5jf\\u002famnxL+BQgUBJ3rEvxQ1kqztTMS\\u002fRHk6vQEgxL\\u002fgo8epZPPDvwpnToUVx8O\\u002f6inr7xCbw7+hkLUWUW\\u002fDv2VRO8PNQ8O\\u002fXgZwenwYw7+YUZyqUO3Cv98jdec7wsK\\u002fYr8mMy6Xwr82hchSFmzCv1P4YCziQMK\\u002fWKdeLH8Vwr\\u002fsnjSw2unBv+4SoXPivcG\\u002fmjAM\\u002foSRwb++PmQNsmTBv1Or4\\u002ftaN8G\\u002feFVFHnMJwb+6zRIY8NrAv3yS7iPKq8C\\u002fezwATvx7wL8cjfiehEvAv4l5fTZkGsC\\u002fOf5gqD7Rv7+x1tKdemy\\u002fv6OZVfSQBr+\\u002f08OB9Jufvr\\u002fp48oPuze+v2TxT0kSz72\\u002fsORug8llvb+fMP+1C\\u002fy8v9rNqBEGkry\\u002f+gFFFecnvL9f9Y+a3b27v605rN8XVLu\\u002ftRkSk8Lqur9tNXvnB4K6v6WsL7UOGrq\\u002f\\u002fObNrfmyub80oDqn5ky5vyrP3gHu57i\\u002fHHe3LSKEuL\\u002fFVgRRjyG4v0cQmhI7wLe\\u002ff6UHiSRgt7\\u002f5DuNORAG3v0GdsruMo7a\\u002fzQoOQOpGtr9O8b\\u002fiQ+u1v3LC69t7kLW\\u002fiS2KSnA2tb8sSPL\\u002f+9y0vwiYpFz3g7S\\u002fiVkpOTkrtL+pbY\\u002fVl9Kzv0XQ9snpebO\\u002fCyOR8gYhs79HqaRRyceyv6UgYeINbrK\\u002fqou4V7UTsr9mw+3CpLixvzxhJB7GXLG\\u002fBXbttwgAsb+HQo59YaKwvyX+jCLLQ7C\\u002fPzrNSYzIr7\\u002fmb1RcsQevv63LG6UcRa6\\u002fDZ3AX++Arb\\u002fX3fndU7usv1+CNFZ89Ku\\u002fLwLJhaEsq7\\u002fNobMvAWSqvzEUhIHcmqm\\u002flkTGaHbRqL+HQnLjEQiov3fF+lXwPqe\\u002f4ZRY8U92pr8V+\\u002fYyaq6lv\\u002fyHrYdy56S\\u002fiJQCGpUhpL9YW87S9Vyjv6N4B5KvmaK\\u002f97cPpNPXob8Vg0x2aRehv4n5OoxuWKC\\u002fc+wdaa01n78l3KD4GL2dvw+8u7jjRpy\\u002fAoONOMLSmr9D6D7IW2CZv0qHketM75e\\u002f3xpgCip\\u002flr8FHJ5Mgg+Vv3MyYo7in5O\\u002fI9QCWNgvkr87CUrG9L6Qv7v2iJ6emY6\\u002fPEFaohCyi78hBde0lsaIv1BW+jai1oW\\u002fr+jN68Hhgr9JQ4h3SM9\\u002fvwrYRx0x0Hm\\u002flr1lZh\\u002fGc7+rZVRIbWJrv0mjqX1jR16\\u002fwo4e6SCKNr9tILmHeSZTPw1m1BLbB2Y\\u002fLMeASS5FcT\\u002fmLBijK4x3P1vbVNSj130\\u002fOllL+ikTgj83vvffgTuFPzZh86BIZIg\\u002f9SjhB\\u002f6Miz\\u002fbw3fiN7WOP1YOIF5T7pA\\u002fQQw3+oyBkj+Io6mIQRSUP4fxTBx8ppU\\u002fwqBj3Fo4lz8DBytLD8qYP00FcwreW5o\\u002f0bKwHR7umz\\u002fphjOsN4GdP0ueTkmiFZ8\\u002f2fqnZfFVoD\\u002fngHleRCKhP+2QxLsV8KE\\u002fxYcke7O\\u002foj9LXYQ6bJGjP6fGA3eNZaQ\\u002fpqGsxWE8pT8RxXYQLxamP+\\u002f9DeI086Y\\u002fx5eDyqrTpz8fIYzmvreoPwCKJpKUn6k\\u002fNAWQTkOLqj8aWj7i1XqrP3vPR7hJbqw\\u002f\\u002f8Usg45lrT\\u002f\\u002femwlhmCuPxbMteAEX68\\u002fQQl05WgwsD8InUDD07KwP8loR52aNrE\\u002fxqxk4o+7sT9HHpqPgUGyP7i9vPg5yLI\\u002fXoKiooBPsz+FQBMqG9ezPzOufjLOXrQ\\u002fhWhWV17mtD\\u002fRBOcakW21Py1ups0t9LU\\u002fnjonaf55tj8GpjZa0P62P540GzZ1grc\\u002fbLhxV8MEuD90GMJfloW4PwLXkJvPBLk\\u002fz5tpR1aCuT8iZh21F\\u002f65P1vKL1EHeLo\\u002fQwEtiR7wuj9f7VmUXGa7PwQj2yDG2rs\\u002ftVIM6GRNvD9GfUotR768Pw3f5Sp\\u002fLb0\\u002fae1JcSKbvT8jF6g8SQe+P7j0k8UNcr4\\u002f+aoEkYvbvj+TmxfE3kO\\u002fP0wGvX8jq78\\u002ffsUUpLoIwD9o58A9dzvAPzpcXe3TbcA\\u002fcBCOE9yfwD9GohzrmdHAP8Hnxm4WA8E\\u002fljMiS1k0wT8sRYDcaGXBP9P6bjhKlsE\\u002fe+QbQgHHwT\\u002fOxZrIkPfBP6\\u002fUy636J8I\\u002fcrtlFEBYwj8Ch3mTYYjCP\\u002fjTpG1fuMI\\u002fZZIRyjnowj+YEFvt8BfDP7DIdXCFR8M\\u002fenTKc\\u002fh2wz\\u002flmdTMS6bDP3U0wCyC1cM\\u002fgiC4Pp8ExD\\u002fTAda8pzPEP6XS6nqhYsQ\\u002f\\u002fzKjZpORxD9+6dl8hcDEP2qrO7SA78Q\\u002fJQyv3Y4exT8qPkB7uk3FP+QNmI4OfcU\\u002fpUJGYJasxT\\u002fNn19BXdzFPwOTHUluDMY\\u002f+vVPENQ8xj\\u002fsOIdsmG3GP7cs5izEnsY\\u002fuDOG2l7Qxj9I7EZ+bgLHP5baw233NMc\\u002fDvH\\u002fIPxnxz9eJiESfZvHPwDrVqh4z8c\\u002fzeG+LusDyD+JlM3XzjjIPyz0bs0bbsg\\u002faGu+TcijyD+OTOLTyNnIP22hREwQEMk\\u002f7v8VU5BGyT+ABsB7OX3JP\\u002f1prp\\u002f7s8k\\u002fnbSgMsbqyT8waI2aiCHKP11GAokyWMo\\u002fz+LdU7SOyj8LzzxL\\u002f8TKPyrIgAoG+8o\\u002fdxtywrwwyz92YKJ6GWbLPzLJakgUm8s\\u002fYGMeeqfPyz9HOFC1zwPMPzJ\\u002fXAeMN8w\\u002fjBm5591qzD9eMOoryZ3MP\\u002fvRUe1T0Mw\\u002fB5ZqYYYCzT+FV1OlajTNP3TN4n0MZs0\\u002f4CjDDXmXzT9K\\u002fFWDvsjNP4bqVcDr+c0\\u002fi4lU\\u002fQ8rzj9Ce05rOlzOP0Q1ndV5jc4\\u002fIeqMRty+zj9kd82wbvDOP3l+1588Is8\\u002f7JIz8U9Uzz81vFmYsIbPPxrHnG5kuc8\\u002fTq9IEG\\u002fszz\\u002fO1ePj6A\\u002fQP1gYpMPFKdA\\u002fLeeAeMxD0D97uew2+l3QP6Tc5ChLeNA\\u002fueGNhrqS0D\\u002fNg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I1q4uW\\u002fcnwAASfg5b\\u002fgh3M2yd3lv1fHc\\u002f5P2+W\\u002f0MLbY7rY5b8FLH+uB9blv\\u002fn8f2U30+W\\u002fUq\\u002fBUEnQ5b9Kx395Pc3lv3HNDyoUyuW\\u002fLU7Z7M3G5b+Gh5CKa8Plv6oUwgfuv+W\\u002f7SO\\u002foVa85b9gnfrKprjlv\\u002fYa6CbgtOW\\u002fhbpthQSx5b90rfndFa3lvwAJTEoWqeW\\u002fcsQEAQil5b8QGgVQ7aDlv7GqspbInOW\\u002f4uMpQJyY5b8EQ2y9apTlv8wxln82kOW\\u002fG2cn8gGM5b\\u002fh+Wd1z4flv4Ct81ihg+W\\u002fD3J01nl\\u002f5b96oJQMW3vlvykeMfpGd+W\\u002fBU7TeT9z5b8vfXo9Rm\\u002flv+ZMvMpca+W\\u002fQ3FDd4Rn5b827rNlvmPlv7nC+4ILYOW\\u002fu6UWhGxc5b\\u002fiEUvk4Vjlv5tX5uNrVeW\\u002f3cJ8hwpS5b8ZD7KXvU7lv09ojaGES+W\\u002fHhFb915I5b9LdhyyS0Xlvx0DhrNJQuW\\u002f7HOIqFc\\u002f5b\\u002fTs2EMdDzlv9GPLyydOeW\\u002fT738KtE25b\\u002fK5j4GDjTlvw6xuppRMeW\\u002fNgHBqZku5b9KQ7fe4yvlvzQT29QtKeW\\u002fTIIwHXUm5b+USIlEtyPlvxWMktnxIOW\\u002fwY3WciIe5b8Sf5+0Rhvlv8kHqVZcGOW\\u002fEpeOKWEV5b8KfeUbUxLlvxj08j4wD+W\\u002fX6\\u002fvyvYL5b9UK8wipQjlv5bWatc5BeW\\u002fDihHqrMB5b\\u002fiz4KPEf7kv3NXVK9S+uS\\u002f+6rUZnb25L8XIytIfPLkv7enGRpk7uS\\u002fW2bs1i3q5L8LStKq2eXkv+ripPFn4eS\\u002f7K8nNNnc5L+iw8ckLtjkv66B5Ztn0+S\\u002fObeyk4bO5L+3l68jjMnkv\\u002fg00Xt5xOS\\u002f8ORb30+\\u002f5L8BunufELrkv\\u002fXEpBW9tOS\\u002fBVfEnVav5L8U8EuQ3qnkv+4AHjxWpOS\\u002fSTRk4L6e5L+jmFamGZnkvynT+ppnk+S\\u002f74DiqKmN5L8pH\\u002fCR4IfkvwNCKukMguS\\u002fCY2lDC985L9WyI4fR3bkv1GOXwRVcOS\\u002fM2BJV1hq5L\\u002fYauRoUGTkvwbcMDk8XuS\\u002fBUz7chpY5L+uX7Zn6VHkvwFP3QunS+S\\u002f0Fr081BF5L\\u002fPWD1S5D7kvw9HN\\u002fVdOOS\\u002fYDcAR7ox5L+0x7BN9Srkvwm0x6wKJOS\\u002fG8u6p\\u002fUc5L\\u002fppcAlsRXkvwPs47Y3DuS\\u002fw6htmoMG5L9SQbDGjv7jv5IAOPJS9uO\\u002f+fZgnsnt479CLEwj7OTjv8bqJ72z2+O\\u002fl124mhnS478k8AbtFsjjv6\\u002f7F\\u002fikveO\\u002fLnp\\u002fJL2y478n1qYRWafjv8muj6hym+O\\u002fwK7ZLgSP479gjsxZCILjv4EsI2F6dOO\\u002fq3pREVZm478m6vzcl1fjv+QzXu08SOO\\u002f8dRDMUM447\\u002ffem5qqSfjv5bqAzlvFuO\\u002fU6jZJJUE47\\u002fPyl6kHPLiv8Tf8yAI3+K\\u002fdoWI+FrL4r89PGB8Gbfiv3rO6uxIouK\\u002fM1aocu+M4r+dKR0UFHfiv1Sa5qi+YOK\\u002fhDcOyvdJ4r9O6cW\\u002fyDLivwuBw2w7G+K\\u002fCvx9N1oD4r8CdJnxL+vhvytT2L3H0uG\\u002fzp\\u002fw9Cy64b+h36oJa6Hhv30BtWyNiOG\\u002fjcaWcJ9v4b+ILzYurFbhv4dtWWq+PeG\\u002f5LiQfOAk4b8lQu03HAzhvzs+49V68+C\\u002foPar4wTb4L\\u002fN6nEywsLgv9amhMq5quC\\u002fTDHE4fGS4L8NH2XVb3vgvyO+Hic4ZOC\\u002fjLDEfU5N4L+uET2ptTbgv8ExtKlvIOC\\u002f32bfuX0K4L8qhSO4wOnfv2Tkr9Muv9+\\u002fSPyIS0SV378NiRae\\u002fmvfv1ZPBW1aQ9+\\u002fRl01qVMb378xzay\\u002f5fPev0yapMYLzd6\\u002fL+3GqcCm3r\\u002fxAr1U\\u002f4Dev2xRNtvCW96\\u002fYZqinQY33r8N5OxpxhLev09inZf+7t2\\u002fXrfjHqzL3b+JAimqzKjdv0tP6aFeht2\\u002f\\u002f2a1MmFk3b94FWBN1ELdvwzRe6G4Id2\\u002faq5ukg8B3b871YEn2+Dcv1KUbvcdwdy\\u002fmRYFENuh3L8a9J7aFYPcv+3uIf7RZNy\\u002fXKdkPxNH3L\\u002fyps9g3Sncv1CSGAI0Ddy\\u002fj43zgBrx27+R4Y\\u002fbk9Xbv3PqqJWiutu\\u002fBYDjoEig27\\u002fQyRpJh4bbv6Y+JiVfbdu\\u002fCP+FDNBU27\\u002fAdkMS2Tzbv5DwMoV4Jdu\\u002fQ1Kg9asO27+TXU5AcPjav\\u002fFljZ7B4tq\\u002fDEANu5vN2r80Eu\\u002fK+bjav\\u002fVbf6rWpNq\\u002fubzn\\u002fCyR2r+CURNO933av5B28DUwa9q\\u002fjMIvfNJY2r9odpo72Ubav4aTGgRANdq\\u002fy1eU+gIk2r\\u002fi9rv1HhPav\\u002fTKIpeRAtq\\u002feZfMX1ny2b+qVre\\u002fdeLZv\\u002fXc3R\\u002fn0tm\\u002fCLJe5q7D2b8mGJR0z7TZv56GDx9Mptm\\u002fF\\u002fmQHymY2b9UgjiBa4rZv8OiVQcZfdm\\u002fPBhbDzhw2b+\\u002fVp5uz2PZv\\u002fbPpkzmV9m\\u002fV+Pp+oNM2b\\u002f0IuTKr0HZv\\u002fD\\u002fjuNwN9m\\u002froY6F84t2b90TtW6zSTZv6L\\u002fqH91HNm\\u002f\\u002f9eHUMoU2b+9hlcz0A3Zvzzgzy+KB9m\\u002fOLkoPPoB2b+xOVIwIf3Yv7jcLsD++Ni\\u002fat0efZH12L8V5ALf1vLYvxJJsFTL8Ni\\u002fZjSlW2rv2L\\u002fdO5+eru7Yv9fmjBqS7ti\\u002fo6gqSQ7v2L81XndQHPDYvwUFDDa18di\\u002fywNHFdLz2L9VniVXbPbYv3Ghlup9+di\\u002feF8IfAH92L\\u002fSAvKq8gDZv5gmHTxOBdm\\u002fcYaARxIK2b+QPY9gPg\\u002fZvxYf+bfTFNm\\u002f1Lb3NdUa2b9p1GeMRyHZvwdpGEAxKNm\\u002feBzkqJov2b9\\u002fYlrojTfZv2oB7tYWQNm\\u002fBd\\u002fQ50JJ2b86btYDIVPZv2Y25lvBXdm\\u002fypO1MzVp2b9VAqqljnXZv4sY62Dggtm\\u002fkvfLYj2R2b9Gq86suKDZv2kqmPhksdm\\u002fHOg4a1TD2b+b6TNJmNbZv6byrKxA69m\\u002f1ZsdP1wB2r8NOOH39xjav2+n0OAeMtq\\u002fAhIK4tlM2r9+ot2VL2navxR5sCUkh9q\\u002fqwh7MLmm2r8Z1li77cfav\\u002fUibiy+6tq\\u002fH3g1UCQP278PVxRpFzXbv\\u002fen5EiMXNu\\u002fpMrwc3WF279dgbNMw6\\u002fbv8MlhEdk29u\\u002f3Y0zJUUI3L8zbn8zUTbcv0d1KZJyZdy\\u002fYEdte5KV3L8qNoWOmcbcv6gz6Rpw+Ny\\u002fwBT2av4q3b9SlrQMLV7dv0dxhxflkd2\\u002fbrGdbRDG3b9V5CH4mfrdv8DkPt1tL96\\u002ffD03r3lk3r9rgfOTrJnev2CclWT3zt6\\u002f4BfKxEwE37\\u002fLo7sxoTnfv\\u002fzstwjrbt+\\u002fQAe+hSKk37+lhlW6QdnfvyKImD4iB+C\\u002f\\u002f3ifKZQh4L+YzXIp9jvgvxYQIIFIVuC\\u002fo\\u002fOfGIxw4L\\u002fsAVJoworgv6o7XmPtpOC\\u002fTdN3YQ+\\u002f4L95dnkIK9ngv8xUTjZD8+C\\u002fPmmT61oN4b+zxVI3dSfhv50HLySVQeG\\u002feglIp71b4b88thOR8XXhv2T4VoAzkOG\\u002fvH9b14Wq4b9w5G+z6sThv6zrsOZj3+G\\u002f7bUM9PL54b9pw2MNmRTiv0tEoBNXL+K\\u002ff1uSmC1K4r9FA1jiHGXiv8BGEfAkgOK\\u002fdJqdf0Wb4r9kSx0Ufrbivy888vzN0eK\\u002f+V79XDTt4r+ea9oxsAjjvw0G4VpAJOO\\u002fLKu5n+M\\u002f47\\u002fYA122mFvjv1hlXUhed+O\\u002fY\\u002f1j9zKT478MGdVgFa\\u002fjv3XVmCAEy+O\\u002f5\\u002f4O0\\u002f3m478yrD0WAQPkvwf0UYoMH+S\\u002fu7mQ0R475L86x9qPNlfkv\\u002fYX62lSc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2Gc8mMXDiP9wW7c4yYeI\\u002fg7sf51FS4j\\u002fmqA2zjUPiP4tm7vDkNOI\\u002fWOW+51Um4j\\u002f+LS543hfiP\\u002fTOwy98CeI\\u002fwi62XSz74T\\u002fkFN8o7OzhPxymOKa43uE\\u002fm8BM747Q4T++BgQ4bMLhP+PVSONNtOE\\u002f+qT8lTGm4T+whMtHFZjhPylUeVH3ieE\\u002fN0ZWeNZ74T\\u002fHCpz2sW3hP6rWiYCJX+E\\u002fIQ0rRl1R4T918snxLUPhP6ACJaP8NOE\\u002frcmR58om4T+670qvmhjhP0cjOEBuCuE\\u002fA0aNJkj84D9KaqojK+7gP0GIrxsa4OA\\u002fGi49AhjS4D92s97GJ8TgP3SgmkFMtuA\\u002fShMjIIio4D+5GxrU3ZrgPzR31YJPjeA\\u002flhMC995\\u002f4D+ulHqUjXLgP70mlU5cZeA\\u002fCpQcoUtY4D++SxeMW0vgP6w9bZKLPuA\\u002fnJJru9ox4D\\u002fYzBOXRyXgP8IrE0XQGOA\\u002fiKsvfnIM4D+QAuqfKwDgP1LBD3Tx598\\u002frV9fO63P3z9JxG7bg7ffP9klhV9un98\\u002fLQOTu2WH3z90Y0TvYm\\u002ffP\\u002fJ1TihfV98\\u002fhto441M\\u002f3z+DcPAJOyffP4IOgw8PD98\\u002f\\u002fHF4CMv23j9acFS\\u002fat7eP8JU6MTqxd4\\u002fC6w0fEit3j\\u002fA0bghgpTePwOtKc6We94\\u002funikdIZi3j\\u002fWiozcUUneP+A1W5f6L94\\u002froe+8oIW3j9\\u002fXHbn7fzdPzaabgU\\u002f490\\u002fTyWhXXrJ3T+QEVJqpK\\u002fdPwmePPbBld0\\u002fjL1HA9h73T9fYlWx62HdP0iyuCUCSN0\\u002fUAHVcyAu3T+1UFqHSxTdP+2KhBCI+tw\\u002fo0exctrg3D+FE421RsfcPxqVBXnQrdw\\u002ffvwZ7HqU3D\\u002faho\\u002fGSHvcPzkCfUU8Ytw\\u002fG6aOKldJ3D+OstO9mjDcP6V12dEHGNw\\u002fFebLyZ7\\u002f2z9pKkuhX+fbP5JKn\\u002fVJz9s\\u002fFADwD1232z8MGCbwl5\\u002fbP7AJHlj5h9s\\u002fdhbY1n9w2z9YQFnTKVnbP0ZR+Zb1Qds\\u002fILrkVuEq2z+s06Q86xPbP+CdjW0R\\u002fdo\\u002fpgr9EFLm2j\\u002fyxGRVq8\\u002faP33MI3Qbudo\\u002flslAtKCi2j9SSyBsOYzaP3bqWgLkddo\\u002fRETe7Z5f2j94wIi1aEnaP7j1cu8\\u002fM9o\\u002fljUaQCMd2j+5Vp5ZEQfaP9xPQfsI8dk\\u002fz8ZR8Qjb2T\\u002fekqIVEMXZPwehqFAdr9k\\u002fIfVOmy+Z2T+hDoYBRoPZP34eiaVfbdk\\u002fP6HIw3tX2T\\u002fUfF+3mUHZPzcU7v64K9k\\u002fMzeuQdkV2T+uwotU+v\\u002fYP3JuCD8c6tg\\u002fyeytPz\\u002fU2D\\u002fASdDPY77YP7+BY6aKqNg\\u002f55uqubSS2D\\u002f7JIw\\u002f43zYP\\u002fKcX6wXZ9g\\u002fkhIRsFNR2D\\u002fNh4MxmTvYPy2CJ0jqJdg\\u002fagHJM0kQ2D9+laZSuPrXPyAK8hU65dc\\u002f06Tp9NDP1z8Z0cZef7rXP5ndy6tHpdc\\u002f6KzFDSyQ1z+FlV+ALnvXP7bDrrlQZtc\\u002fJfteG5RR1z81Xuyk+TzXPw65VOeBKNc\\u002fsqqm+iwU1z9O4M11+v\\u002fWP1aM8Wjp69Y\\u002fUnmtWvjX1j9y1l5IJcTWP8durKltsNY\\u002fh81ed86c1j8XUog1RInWP03n5wDLddY\\u002fdnpbn15i1j8z\\u002fSGT+k7WP9dFmDCaO9Y\\u002fMwsJtjgo1j9uFBdl0RTWP2L7OZ1fAdY\\u002fNAe69t7t1T+WDo9dS9rVP9BMgSuhxtU\\u002fU93pQN2y1T8pSnMb\\u002fZ7VP4RLQer+itU\\u002fmHbxnuF21T8o+vT6pGLVPz5t1ZhJTtU\\u002fasAL8dA51T9FLChaPSXVPwH4IwSSENU\\u002fkJnR7tL71D+pXHzbBOfUPz\\u002fE5Tkt0tQ\\u002fCY3rEFK91D+c5DzjeajUPwdin5Crk9Q\\u002fXe5bNO5+1D9ddYABSWrUP4RhtB3DVdQ\\u002fLxZre2NB1D9bbki0MC3UP7pxj+QwGdQ\\u002ficlyiGkF1D9G6xhc3\\u002fHTP1x\\u002fGz+W3tM\\u002fy2M6HJHL0z8gEufV0bjTP0mINThZptM\\u002fuJGk8CaU0z\\u002faBxGMOYLTPyD1BnuOcNM\\u002ffC6BHCJf0z\\u002fprgTP703TP4SU4QfyPNM\\u002fS9ZAcCIs0z9VcIQHehvTPxeaYErxCtM\\u002fj1z4XYD60j9JLC8+H+rSP9alTO7F2dI\\u002fmqX\\u002fqmzJ0j\\u002f2GMMcDLnSPxFdoYmdqNI\\u002fQu5SBRuY0j+mnrqef4fSP8BtzInHdtI\\u002fezX8RPBl0j9NZWa5+FTSP\\u002fh9\\u002flThQ9I\\u002f7mcsHqwy0j9rdmLAXCHSPyc4WZH4D9I\\u002fnGHDjob+0T8mUHJUD+3RPxwTCgud29E\\u002fAbmJTzvK0T\\u002fNAxEU97jRP\\u002fPYbnrep9E\\u002fBgQjqQCX0T\\u002fei5mbbYbRP6JVfe41dtE\\u002fP6USqWpm0T\\u002fMzpcEHVfRPxXnsjJeSNE\\u002fxkL2Iz860T9jHINP0CzRPyXfyXwhINE\\u002fQZFakEEU0T+Z+6VcPgnRPyDteXck\\u002f9A\\u002fu9ToFP\\u002f10D\\u002fLiC\\u002fo1+3QP1MVDAu35tA\\u002fc5HW66Lg0D8LB4pCoNvQP+4tyAyy19A\\u002f6+K\\u002fkNnU0D8YmLxmFtPQP6c5BYlm0tA\\u002f082TacbS0D+rBxUNMdTQP1GeiCqg1tA\\u002faeXITgza0D8VMzIDbd7QP8NHmfa449A\\u002fKUe7J+bp0D+c3FEQ6vDQP9fA+s+5+NA\\u002ffc4qVkoB0T+nznGKkArRPy7EZHKBFNE\\u002fTz6YVBIf0T+dlirYOCrRPwVadiDrNdE\\u002fTdye5B9C0T9Kb8OCzk7RP+RJwA7vW9E\\u002f3jR+XHpp0T8e+OoFanfRPw63y2y4hdE\\u002fu2yvuGCU0T+qGFrRXqPRP7mTEFavstE\\u002fjCg5kk\\u002fC0T8Zwc1vPdLRP7qqIWh34tE\\u002fVZ1+c\\u002fzy0T+18Br4ywPSPz\\u002fp5bjlFNI\\u002fgwifxEkm0j+jpaJl+DfSPzcnyRLySdI\\u002ftnWnYTdc0j9DIG\\u002f6yG7SP5Gzm42ngdI\\u002fxWyJy9OU0j\\u002fWPwBeTqjSP1CXreMXvNI\\u002fcrN37TDQ0j+uiof9meTSP3Pe2YdT+dI\\u002feike9F0O0z+SWKKguSPTP7MJBeZmOdM\\u002fX21lG2ZP0z8U1ceat2XTP8toaMVbfNM\\u002fdEC6B1OT0z8PA9jcnarTP7blM9E8wtM\\u002fkyRfhDDa0z8vcsypefLTP4z9fAgZC9Q\\u002fUCeUeQ8k1D9xY9rlXT3UP0ypQ0IFV9Q\\u002fTteYiwZx1D8+NW3BYovUP\\u002fpzkeAaptQ\\u002fje473S\\u002fB1D+ARiKdotzUP3mkwvFz+NQ\\u002fSdAak6QU1T9J\\u002fwgbNTHVPyGyjQEmTtU\\u002fqWkfmndr1T+jjTgSKonVP0vePXE9p9U\\u002fxn7QmbHF1T8ibpJMhuTVP7mEVyy7A9Y\\u002fVCSww08j1j\\u002f6Lq6LQ0PWP\\u002fDouPOVY9Y\\u002fN5Q5akaE1j\\u002fQLuFlVKXWP4QfQG+\\u002fxtY\\u002fGQ1jKofo1j9W0yRgqwrXP3uu5AYsLdc\\u002fCl9RSglQ1z+MN\\u002f6RQ3PXP9msfYbbltc\\u002fXPnFFNK61z+ZeK9vKN\\u002fXP51LaQ\\u002fgA9g\\u002f+T7Prvoo2D+Ab5tGek7YP39dfgZhdNg\\u002f7oU4TLGa2D95weCYbcHYP8QSkoSY6Ng\\u002fpcLJsDQQ2T8YNsu5RDjZP1FoaSfLYNk\\u002f9wGeXcqJ2T9YX1uNRLPZP5g2CaY73dk\\u002fXtQaSLEH2j\\u002fO+Sm5pjLaPylP+tkcXto\\u002fkTe\\u002fHhSK2j\\u002ffyPCJjLbaP1kJ7amF49o\\u002fnrKQmf4Q2z8xBd8D9j7bPw4suypqbds\\u002fWdaf8Fic2z+5livlv8vbP1rcQlSc+9s\\u002ft5FzV+sr3D8gLjPpqVzcP9zifvnUjdw\\u002fZgVXg2m\\u002f3D+yaIOiZPHcP1ViBqnDI90\\u002fhA6gM4RW3T9HRMM8pIndP06sYS0ivd0\\u002fPJ386vzw3T8yo3TiMyXeP+rCIQ\\u002fHWd4\\u002fzkrS\\u002fbaO3j\\u002fn+mTLBMTeP\\u002fH5zB6y+d4\\u002fMeFpHsEv3z91f7tgNGbfPzAcl9gOnd8\\u002fTUYivVPU3z8xavo2AwbgP1H57ykVIuA\\u002frBZ5X2E+4D941DNh6VrgP\\u002fu\\u002fpIeud+A\\u002fyH9H57GU4D9GWc899LHgP3C8CeB1z+A\\u002fwITVqDbt4D82gJ\\u002fpNQvhP70A0FxyKeE\\u002f7cqNGupH4T+LvTCQmmbhP846snqAheE\\u002fh+1a5Jek4T+6P90l3MPhP\\u002fQX+upH4+E\\u002fJJW6OtUC4j878DWDfSLiPynYxqg5QuI\\u002fdPd\\u002fGAJi4j8yU5zdzoHiP0xFlrmXoeI\\u002fOGt\\u002fPlTB4j+FXSXr++DiP+7FgkiGAOM\\u002farvyB+sf4z\\u002f5cpUhIj\\u002fjP92AUfIjXuM\\u002fwjjcWOl84z+5QzbRa5vjP9U6D46lueM\\u002fXueLj5HX4z+uiva2K\\u002fXjP2kH79ZwEuQ\\u002fTqXBv14v5D\\u002f9GZ5H9EvkP\\u002f0ZfU4xaOQ\\u002fsYaYvRaE5D923nCCpp\\u002fkPy9lcYXjuuQ\\u002fEg5bnNHV5D8fArR4dfDkPws5jpLUCuU\\u002f7YIKEPUk5T\\u002fzMA6q3T7lP1rfr46VWOU\\u002fYmvrQSRy5T+WmzV9kYvlP20+jQ7lpOU\\u002f92iptya+5T8gAOMNXtflP2PhcluS8OU\\u002fN+6VgsoJ5j+XIx3jDCPmPxcF4kJfPOY\\u002f8UyHucZV5j8HadufR2\\u002fmP+46HoPliOY\\u002f305WHKOi5j93xMtLgrzmP3b2qBiE1uY\\u002fJwqrtKjw5j9Lc7eD7wrnP8ybFydXJec\\u002fbbEJjN0\\u002f5z\\u002fngEX9f1rnPxCWBjc7dec\\u002f4NshfQuQ5z+U4aSy7KrnP5Tkd3Laxec\\u002fGdV5KNDg5z8rwo4qyfvnP2RVHdHAFug\\u002fHSZ\\u002fjrIx6D\\u002fVcfEEmkzoP0vtnxpzZ+g\\u002fG5NxCzqC6D+WKk9465zoPxJXrHOEt+g\\u002fdN8tiwLS6D8eFFrOY+zoP0FSUtKmBuk\\u002foSumssog6T8bQ2EPzzrpP8IWhAi0VOk\\u002fO1olN3pu6T+Z5ISkIojpP4dNYr+uoek\\u002fBPbvTyC76T\\u002f1R79qedTpP3JmBGO87ek\\u002fqWKOvOsG6j\\u002fKY80dCiDqP0s4OkIaOeo\\u002fj7Rq7R5S6j\\u002fHXhTfGmvqP0iFM8gQhOo\\u002fcFmAQQOd6j+kaU7D9LXqP7NB5Z7nzuo\\u002fDnxT+d3n6j\\u002fvj7DH2QDrPy2NtczcGes\\u002fIBmKl+gy6z+RtJmD\\u002fkvrP97ePbkfZes\\u002fGUYEL01+6z+uBlWrh5frP0sfPMbPsOs\\u002flLMa6yXK6z\\u002fWcwhaiuPrPxlmsyj9\\u002fOs\\u002f9CmUQn4W7D\\u002fTZ1ZoDTDsP6UfYC6qSew\\u002f4Z9u+lNj7D8Vs0wACn3sPz2bsj3Lluw\\u002fkFRtdZaw7D+q4vYpasrsP+CytJdE5Ow\\u002fXfoaryP+7D8SDPwOBRjtP\\u002fubUP\\u002flMe0\\u002fHX\\u002fJbMNL7T+ffnzlmWXtP1Yj\\u002fJZlf+0\\u002fguolTiKZ7T8kH+t4y7LtP6O4TipczO0\\u002fpU3GIM\\u002fl7T\\u002fRox3PHv\\u002ftP5P962dFGO4\\u002fI2WY6zwx7j9\\u002fSdc4\\u002f0nuPyxNeB+GYu4\\u002f869Hdct67j+kzLMsyZLuP\\u002fNK1Wx5qu4\\u002fImloqtbB7j8FqjfB29juP4i2bA2E7+4\\u002faM8zhMsF7z+vGhnLrhvvP9CzhU0rMe8\\u002fot3ETz9G7z9NIQD\\u002f6VrvP5SKq30rb+8\\u002fKW7p6wSD7z+uDn9reJbvP9CwCB+Jqe8\\u002f3eAzJDu87z9dT+GIk87vP9EzLDuY4O8\\u002fxOxy9E\\u002fy7z+OeM0P4QHwPzItdF17CvA\\u002fzE\\u002fvGvsS8D\\u002fZ4t2lZBvwP8BNnG28I\\u002fA\\u002f02wn3gYs8D+HSWxKSDTwP3VZddaEPPA\\u002fg+3qYcBE8D9wtV5z\\u002fkzwP8HG2SRCVfA\\u002fHFshEo5d8D\\u002fWeSBJ5GXwP3IH3DxGbvA\\u002fqmRLu7R28D9cDGLmL3\\u002fwP3++hjC3h\\u002fA\\u002fgAqjXEmQ8D8k0+KB5JjwP4YYJxOGofA\\u002fJmIa6iqq8D\\u002fAA8BVz7LwPzynQixvu\\u002fA\\u002fNIGy3wXE8D8h2FCVjszwPwWH9T4E1fA\\u002fGlIMtmHd8D+1pJvXoeXwP7X6vKC\\u002f7fA\\u002fNRbpSrb18D+5bHdngf3wPyMRsfkcBfE\\u002fhdrbjoUM8T+Fn6pTuBPxP\\u002fX2iiazGvE\\u002fldtXpnQh8T+kjAo9\\u002fCfxP9+5FyZKLvE\\u002f\"},\"z\":{\"dtype\":\"f8\",\"bdata\":\"1HMYk61YyD\\u002fiB8pvjNDHP0DsI61WSMc\\u002fi24hjA3Axj\\u002frYdSrsjfGP1Y4yw5Ir8U\\u002fjvuPFtAmxT+ugV91TZ7EP9l\\u002fkBbDFcQ\\u002f4mV2\\u002fjONwz8at9kiowTDP6WJZD0TfMI\\u002fhuSbmYbzwT+UGCzg\\u002fmrBP6l\\u002fbeF84sA\\u002fqkUXYQBawD9a0izKD6O\\u002fP4u23xIhkr4\\u002fvbvrtSuBvT8+c9Z0I3C8P3Cd55L4Xrs\\u002fGuzVxJdNuj+2Js436ju5P\\u002fu9sbDVKbg\\u002f+Z2twzwXtz8vpogj\\u002fwO2P0k1SAf677Q\\u002frFQOpAjbsz\\u002fG3GW4BMWyP3q9kiXHrbE\\u002fAGX0kiiVsD+D8TQuBPauPyn+uMNbvqw\\u002fqW8txQ+Dqj9Ot0bL3EOoP9YHgkiFAKY\\u002fvKiqhNK4oz9furprlWyhP60kh1FON54\\u002flCakDdOLmT99jIYmjtaUP14OWP1lF5A\\u002fViMl7aKchj8EyMzOWu15P+PV7\\u002faU6Fk\\u002fS1Hkz74\\u002far\\u002fuwuyRCnCAvyxkdJzjYoq\\u002fkZPRvw00kr+So0hYqj+Xv\\u002fSRvyYdVJy\\u002fh3dguqG4oL8SBdnCgkujv4AXqsms4qW\\u002fmMCVNSN+qL9mON\\u002fI8h2rv\\u002f0+P2kywq2\\u002fWaBwyYE1sL8EYmA2SYyxvw0aWbuK5bK\\u002fqAXOZWZBtL8tAm16AKC1v5ToMqeAAbe\\u002fM4QQ\\u002fxBmuL+VNrXB3M25v9tVevMOObu\\u002fyHbGytCnvL+XkIn5Rxq+v9TmodqUkL+\\u002f3PsCRmiFwL8UBLl\\u002fhUTBv\\u002fzkBIakBcK\\u002ffj\\u002ftRcHIwr9PwDVI0I3DvzGFx9y9VMS\\u002f9+K0XG0dxb9HORaIuOfFv1OUoARvs8a\\u002fftJbAVaAx79oz0YDKE7Iv4xYB96UHMm\\u002fx6b82kHryb8HljEQyrnKv70jxOe+h8u\\u002flIxm16hUzL+PsahGCCDNv4xjw6FW6c2\\u002f2BSwlQewzr\\u002fIaXNxinPPv8ug1tOlGdC\\u002fMexgNVt30L\\u002f3+qQum9LQv33P96ccK9G\\u002fpGC6gpiA0b\\u002fIP656ytLRvxoEyAJyIdK\\u002f+jSvGVNs0r9eATISN7PSv2i5HEzt9dK\\u002ftRYh2ks0078p3MYRMG7TvxXMvAJ\\u002fo9O\\u002fRJ5M0yXU07\\u002fbaCwAGgDUv657aX5ZJ9S\\u002fhWqxvupJ1L+KL8uR3GfUvyAToe5FgdS\\u002fbnrJmkWW1L+u\\u002fwW3AafUv9F5sjGns9S\\u002fkDGWIWm81L9d+PULgMHUv0v0Ixkpw9S\\u002f0s8XO6XB1L8JAtZJOL3UvzDjlRkottS\\u002fl2yrjrus1L\\u002fMezqzOaHUv61EptLok9S\\u002f5sWIng2F1L8RdsRg6nTUvz1F9z2+Y9S\\u002fth47i8RR1L86Tbc5ND\\u002fUv8TEEVo\\u002fLNS\\u002fON9RuRIZ1L9iPUKY1QXUv7YE2H2p8tO\\u002fsnqdJKrf078+4JeC7czTvzUzn+qDutO\\u002fDsukRXio079wFvZh0JbTv15OJVaNhdO\\u002fSLLs9Kt007+SbRtPJWTTvyjjZkDvU9O\\u002fbanYA\\u002f1D079tdIHMPzTTv4KaG1+nJNO\\u002f+GxcqSIV07\\u002fkj9lToAXTvyy1nUsP9tK\\u002fmCjNQF\\u002fm0r+osQwYgdbSv+tpukxnxtK\\u002f5gNuQga20r9WMaKEVKXSv5Hb2PNKlNK\\u002fpx793+SC0r\\u002fT3zUQIHHSv7Hnx7j8XtK\\u002fXD8MYH1M0r\\u002fM+dyzpjnSvzGULVF\\u002fJtK\\u002fc\\u002fzKfw8T0r9UqnjkYP\\u002fRv7f7yit+69G\\u002fXHY6sHLX0b\\u002fyVPcdSsPRv\\u002fTfABcQr9G\\u002fxuLw2c+a0b9F0Mntk4bRv\\u002fTs5tRlctG\\u002fnHXyyE1e0b9c13+BUkrRv2aEmQZ5NtG\\u002fXMU8kMQi0b9gQ2RzNg\\u002fRv\\u002f0k5hzO+9C\\u002fSLkOGono0L9vCYcuY9XQvxFkwXZWwtC\\u002fhQ\\u002fXlVuv0L9Cm3vtaZzQv8Jdbd53idC\\u002fzOKYD3t20L9ndf+5aGPQv3xFWPc1UNC\\u002f9FlYEdg80L\\u002fVo4\\u002fPRCnQvyjh2MFyFdC\\u002fbAN2hVkB0L8nPzUG5NnPv7zcsEhtsM+\\u002fpF87\\u002fkaGz79ZinHsbFvPv7GQO5zeL8+\\u002fedTwap8Dz7+8+ceCttbOvwqI5rouqc6\\u002fwfv+XxZ7zr+LSQDnfkzOv5XR4ot8Hc6\\u002fjE4Z3yXuzb+Tj5VEk77Nv0BRpmfejs2\\u002fUmgzpyFfzb9pSgZ+dy\\u002fNv3gM3ur5\\u002f8y\\u002fN\\u002fwG3MHQzL\\u002fqcA+i5qHMv+FM\\u002fmx9c8y\\u002fB3Ql15hFzL+1QU2ASBjMv1FCiLuY68u\\u002f6wuDUZK\\u002fy78OL55YOpTLv\\u002fhOkyOSacu\\u002fWw3WRpc\\u002fy7\\u002fGOlG0QxbLv2E+lOyN7cq\\u002fy13\\u002fQ2nFyr9MugI6xp3KvzFxFuCSdsq\\u002fofC0TbtPyr9TblUeKinKv1U8LfbIAsq\\u002f7axcCoHcyb+s\\u002fB+pO7bJv+hypr7ij8m\\u002fwiJRU2Fpyb+tgE4ApELJvxPezleZG8m\\u002fweFlPjL0yL\\u002fZ5pMzYszIv7YY5YcfpMi\\u002fwiuQf2N7yL+VjABhKlLIv\\u002fluPG9zKMi\\u002fufia0ED+x7+Ggb5il9PHv8dYP31+qMe\\u002fJ7fhpP98x79hupIxJlHHv2Mouun+JMe\\u002f3UCvlZf4xr+qlEyO\\u002fsvGvxWkuElCn8a\\u002fAGB+6XByxr9CkQHNl0XGvwIbOCvDGMa\\u002fYwhbtv3rxb9n0\\u002fpLUL\\u002fFv+U3i7PBksW\\u002f43wWbVZmxb8HBVmREDrFv5wHD8TvDcW\\u002fYKHCOPHhxL\\u002f3HevJD7bEv9ygsiFEisS\\u002f5FVA84RexL+sDPZCxzLEvxBqq7v+BsS\\u002fzDOZDh7bw79D2F5bF6\\u002fDv8EGVZ3cgsO\\u002fHlA7G2BWw7\\u002feRT3WlCnDv+HRTfVu\\u002fMK\\u002f8nXtKeTOwr+UNZkL7KDCv38SW2eAcsK\\u002f6rtAgZ1Dwr8acddFQhTCv\\u002fjZMmpw5MG\\u002fsil1eSy0wb\\u002fKakbPfYPBvzpfJH9uUsG\\u002fitDwKAshwb+zbJ67Yu\\u002fAvwhMUSeGvcC\\u002fxRW1AIiLwL9Rs6wXfFnAv7Mw1AN3J8C\\u002ftVwlUxvrv78D3Vx1qYe\\u002fvziF7WrAJL+\\u002fuCJMy4XCvr\\u002fGBTLUG2G+v3hevoSgAL6\\u002flhz8zSyhvb\\u002fj3QLe00K9vwjFTYqi5by\\u002fD2oq3Z6JvL9b\\u002fFDJxy68v6sj0gUV1bu\\u002fdtWUE3d8u7\\u002fn9aNs1yS7v5JTj9wYzrq\\u002fdmgrABh4ur96Rw3qqyK6vwXuQeimzbm\\u002fJSn3Ztd4ub9NJB3rCCS5vze1dh8Fz7i\\u002fYfQe7pR5uL+4Qj+ggSO4v+46i\\u002f2VzLe\\u002fVgEZZZ90t7\\u002fYzFPZbhu3v3hQE\\u002fnZwLa\\u002fg+VS4Ltktr8GNJTr9Qa2v4\\u002f+pllwp7W\\u002fFXJWyBpGtb9EC1eJ7OK0v4CKuc3kfbS\\u002fVu0ZpwoXtL8MM7febK6zv7T4k6MhRLO\\u002fOP6qEUbYsr8X6R+V\\u002fWqyv6P6Hi1x\\u002fLG\\u002f6UbRks6Msb8LQmJJRxyxv7HVi5wPq7C\\u002fZA51k105sL9kGca7z46vv\\u002fjEloPJqq6\\u002fwKeEHhLHrb859w5BDuSsv356M9cbAqy\\u002fg4GFVJAhq79rO+s5t0Kqv\\u002fl\\u002fX9jQZam\\u002fq5yVVhGLqL\\u002fFlL79n7KnvznH\\u002fc+W3Ka\\u002fkapgaQIJpr9QCXUq4jelvxRX7akoaaS\\u002fFYEtabyco7\\u002fvYSXGeNKivwFPkSMvCqK\\u002fIXecP6hDob8OHvqvpX6gvw\\u002fVvfPGdZ+\\u002fqGSrdzPwnb+XIHq+\\u002fGucv\\u002fBumY6N6Jq\\u002fD46i51Jlmb8lw7Acv+GXv+LakLJMXZa\\u002fe9Gj8oDXlL\\u002ftcIkl7k+Tv4LPJGs1xpG\\u002ftrY8KAg6kL8cj5UJUlaNv17p1fHYMoq\\u002fo5Zt0nEJh7+wFTWsDNqDv9yLl0i7pIC\\u002frKenG17Ter\\u002f0p6hXbFJ0v2v\\u002fq+ngjmu\\u002fLAxrJJPNXL+U2A+Mz+wiv3zRbuNMLVg\\u002f+MOP+\\u002f9maT++Tvw6z19zP5xt\\u002frLwDno\\u002f6rxxTc5fgD\\u002fkNvKATbiDP3XdrS5lEIc\\u002fSSEki5Jnij8VPOv+Yr2NP49S1uW6iJA\\u002fRs3Ri74xkj9vmP4vn9mTP3rTditJgJU\\u002fqWlBG7Illz9tAolK2MmYP2Izv+XBbJo\\u002ffZYyAHwOnD\\u002fGALZ2Ga+dP4NZt7qxTp8\\u002fzITEyK92oD\\u002fwANTpn0WhP1heuRs4FKI\\u002frnsLGYfioj81GT38mrCjP9ROStSAfqQ\\u002fB7wUUURMpT8ZpQOK7xmmP7C0ieCK56Y\\u002f99gy\\u002fxy1pz+2XNn0qoKoP7XCoWo4UKk\\u002fwsZo8scdqj9tmG1qW+uqPyDKOnL0uKs\\u002fyrAo7JSGrD+9R1GGP1StP9tVdEX4Ia4\\u002f\\u002fY0dDMXvrj\\u002fOhV8Yrr2vP20LUznfRbA\\u002fwhdAJAKtsD+MDmWXSBSxPxI2qSO9e7E\\u002fRwR0I2zjsT8oSNmsY0uyP4KZX3Kzs7I\\u002foM9ikmwcsz\\u002fmu6RVoYWzP8SpLt5k77M\\u002fbAAyyMpZtD+Hsxm\\u002f5sS0PzD7dAnMMLU\\u002fpGfKDo2dtT+He7XaOgu2P9+77aDkebY\\u002fVUz6RZfptj\\u002fMGF\\u002fwXFq3P\\u002fhB\\u002f6U8zLc\\u002fwcZD+Tk\\u002fuD8CtU3JVLO4P93BGRiJKLk\\u002fEPoB+c6euT+t3HuZGha6PzLkUGVcjro\\u002fYQfhRoEHuz\\u002flS0YDc4G7P4mycrEY\\u002fLs\\u002faV6jSld3vD\\u002f9yclREvO8PxUO244sb70\\u002f6ntS2ojrvT9MlKT0Cmi+Pxnl5WSY5L4\\u002fmy6KWRlhvz9Jed6Fed2\\u002fP6ZtX3vULMA\\u002f0hyEbM5qwD8xFjQWqKjAP2CsuC5i5sA\\u002f0R0g4QAkwT926sD6i2HBPx42KAYPn8E\\u002fsMELUpncwT9KhEHjPRrCP5w3MVETWMI\\u002fT7msjDOWwj++PZiRu9TCPzAcSATLE8M\\u002fipD0u4NTwz\\u002fnPhk8CZTDP4u\\u002fAx+A1cM\\u002fnko3dA0YxD8QSKEV1lvEP9Pe4Pb9oMQ\\u002fzLoYcqfnxD88peSV8i\\u002fFP2AiG3j8ecU\\u002fdWv9kN7FxT8tp10irhPGP\\u002fJ+FK57Y8Y\\u002f+ObcflK1xj82YFhGOAnHP17QmNIsX8c\\u002fclsZ3Sm3xz+B34\\u002f0IhHIPyuJd4IFbcg\\u002fDmel7LjKyD+9DaXSHirJP\\u002fGCCGYTi8k\\u002fLQhH3G3tyT\\u002f4MT34AFHKP14W4aibtco\\u002fWiZKugkbyz\\u002fhGsiVFIHLP0aIcQ2E58s\\u002fthNTLx9OzD\\u002f2aT0crbTMP3r3Gt71Gs0\\u002fcYi3OcOAzT9Kaft34eXNP8zhyCIgSs4\\u002fHv7ssVKtzj9FE+okUQ\\u002fPP1VqyYb4b88\\u002fpq2XWSvPzz\\u002fTPdnzaBbQP4v5zDxtRNA\\u002fegPGt5xx0D9P0mKf9J3QP2TubSl1ydA\\u002fgv0YaiH00D\\u002fIw44q\\u002fx3RP1S\\u002f5bMWR9E\\u002fGd63j3Jv0T9KE9c\\u002fH5fRP3Ypwe4qvtE\\u002f0DOWGqXk0T\\u002fpx2s8ngrSP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RewRxMM6r9di7+Ypgrqv7HHxzY6Ceq\\u002f5\\u002fBV1tIH6r\\u002f8B4IMdQbqvyODbjglBeq\\u002f\\u002fjzZbecD6r+pMDFhvwLqv5ssmlWwAeq\\u002faAU7Db0A6r+dNSS85\\u002f\\u002fpv9ikDP4x\\u002f+m\\u002fDfYQz5z+6b+srY+HKP7pv4gxKtvU\\u002fem\\u002fu4zg2qD96b8LcSz6iv3pv1mR7xaR\\u002fem\\u002f14f6g7D96b9ZW+QV5v3pv1mr3zEu\\u002fum\\u002fR8ox3oT+6b\\u002fXwunT5f7pv7GFcZFM\\u002f+m\\u002fa0+SbbT\\u002f6b8psIaqGADqv8FguIh0AOq\\u002fmxLOWMMA6r+GbLWMAAHqv\\u002f0pX8cnAeq\\u002fgoLu6jQB6r9LRSklJAHqv3gTA\\u002frxAOq\\u002fEHorTJsA6r+7\\u002fZNjHQDqvxoX8PF1\\u002f+m\\u002fgVE9FaP+6b8352xYo\\u002f3pvxkQUrJ1\\u002fOm\\u002fgIgAgxn76b9gcM2Pjvnpv1loKf7U9+m\\u002firGNTe316b92DrdQ2PPpvw9BaCaX8em\\u002fi2LrMSvv6b\\u002f2GYUTluzpv34bB6HZ6em\\u002fK5mo3vfm6b9GqkP48uPpv4l0DjvN4Om\\u002f313eD4nd6b\\u002fxDvv1KNrpv\\u002ffffn6v1um\\u002fFLg6SB\\u002fT6b+mrwz8es\\u002fpvxspk0nFy+m\\u002fNbwh5ADI6b8OZ9p\\u002fMMTpv7ASzM5WwOm\\u002f96X3fXa86b+qmh4ykrjpv38\\u002fQYSstOm\\u002fbmq3\\u002fcew6b81LNQT56zpv7DnCyMMqem\\u002fjsWbaTml6b9ok7kBcaHpvxpnW9u0nem\\u002fuJOutQaa6b+1SF0YaJbpv\\u002flNyUzakum\\u002fFm1oV16P6b+m+nPx9Ivpv49dIIOeiOm\\u002f8jmTHluF6b\\u002fF5s57KoLpvwf8x\\u002fULf+m\\u002fHwvWiP576b\\u002fjAavSAHnpvzli9RMRdum\\u002fpovIMy1z6b+j\\u002fdvEUnDpv23\\u002fpgx\\u002fbem\\u002f4MRRDK9q6b+TTWiL32fpvy03LiQNZem\\u002fRu1lUTRi6b9RaVF9UV\\u002fpv3V1pxFhXOm\\u002fPncuiF9Z6b9ehKV7SVbpvwM0nrgbU+m\\u002fZ4flTdNP6b9okxicbUzpvwdyAmToSOm\\u002fQXtk00FF6b+13s+PeEHpvxRcQL+LPem\\u002f\\u002fuQyDns56b\\u002foMgCzRjXpv8ODUm7vMOm\\u002feG6eiHYs6b87rZjM3SfpvyBqtX4nI+m\\u002ftZPQUVYe6b8tgzFZbRnpv7FSLvhvFOm\\u002ffCXEz2EP6b+43oiqRgrpv8nkZ2ciBem\\u002fLi+m4\\u002fj\\u002f6L9Ko7Hkzfrov59qRAKl9ei\\u002fNj1mkYHw6L+yc9OQZuvov6AOTJdW5ui\\u002fhMVDxFPh6L9Jxl+zX9zov19NH3N71+i\\u002fLvr5fqfS6L+GHCq9483ov02nQoAvyei\\u002f932YjInE6L\\u002fICW4h8L\\u002fov0UCtwVhu+i\\u002f97sxmNm26L8JwXviVrLov2mRsa7Vrei\\u002fFsAVn1Kp6L+\\u002fyipHyqTov4V5nUU5oOi\\u002f\\u002f71TXpyb6L91P+6T8JbovwFHCUAzkui\\u002fjbWMKWKN6L+TIWKYe4jovzQY9GV+g+i\\u002f4JbpCWp+6L+X3aSiPnnovzdQJPn8c+i\\u002fisP+f6Zu6L86s1FNPWnovxTVlg\\u002fEY+i\\u002fmZN2\\u002fT1e6L+vcc3Arljov+NnOl0aU+i\\u002fXC2rEoVN6L\\u002fdSng880fov6YQvS1pQui\\u002fOWCuC+s86L9REMamfDfov2L6plMhMui\\u002fOQunxNss6L\\u002fnp\\u002fDkrSfov1AkK7aYIui\\u002fN9aSMZwd6L+Ch1wttxjov5\\u002fbLUfnE+i\\u002fyPRc1CgP6L+ItY3Ydgrov8btIgPLBei\\u002fMkHWsx0B6L8wX6MGZvznvy4LC+eZ9+e\\u002f3FyJKq7y57+jcfGxlu3nv8Z2OJFG6Oe\\u002fwGkTPbDi57\\u002f9E6e9xdznv\\u002fd5aeV41ue\\u002fD\\u002f43i7vP5786iI7Gf8jnv+uzuiy4wOe\\u002f4c\\u002faDVi4578ftXOwU6\\u002fnvy9Xaoqgpee\\u002f43o2djWb5794ITPjCpDnvy+pBgAbhOe\\u002fOQU43mF357\\u002fPMieO3Wnnv6+MxDKOW+e\\u002frAqMDHZM57\\u002fv9nV7mTznv3E5vff+K+e\\u002fqAmLAa8a57\\u002fqk8cHtAjnvzjafUYa9ua\\u002fqsttne\\u002fi5r+8MZFfQ8\\u002fmv6S+fRwmu+a\\u002fOFyvZKmm5r+pF+GJ35Hmv1QNsFzbfOa\\u002fIAbS6K9n5r9xuzAxcFLmv0K5Ou0uPea\\u002fD5mzSP4n5r9L8T6n7xLmv9omzGwT\\u002fuW\\u002fIcPty3jp5b9lpQWbLdXlv1QWCTE+weW\\u002fv0h1SrWt5b9qIt\\u002f2m5rlv0NCWY\\u002f5h+W\\u002fvDm6tdN15b+d6JtcLmTlv978vNcLU+W\\u002ffdQ\\u002f9GxC5b9UbxcYUTLlv5m3zGe2IuW\\u002fCwWl8ZkT5b+0IRfd9wTlv6zbZp3L9uS\\u002f0s0wJhDp5L8a0aggwNvkv7+dTSDWzuS\\u002f1n\\u002fb1UzC5L9JdlY\\u002fH7bkv1g\\u002fGdRIquS\\u002fhjnyq8We5L8f8XegkpPkv2zp5GetiOS\\u002fDsbzqBR+5L9rcmEHyHPkv4sz6SjIaeS\\u002fQJ29shZg5L8\\u002fErA\\u002ftlbkv46tZU+qTeS\\u002fRSMjL\\u002fdE5L+5TuDcoTzkv8zXduWvNOS\\u002fE83cPict5L92j3MfDibkv3xwhNNqH+S\\u002fF4UOkkMZ5L+sNgxSnhPkv8f3UqGADuS\\u002fAlEkfu8J5L91g3U07wXkv6Sw2j+DAuS\\u002fn2vkMq7\\u002f479Fhpukcf3jv7uunyTO++O\\u002fHPdCNsP647\\u002fFsM9ST\\u002frjv7Eu+PJv+uO\\u002fRiJCnyH7478kchIHYPzjv4u50x0m\\u002fuO\\u002fPhKKPW4A5L9nWQNOMgPkv0GgtO9rBuS\\u002fTag8qRQK5L+vwXAWJg7kv9uTzReaEuS\\u002f+I0gAWsX5L+PF0HGkxzkv9cLuiQQIuS\\u002fgF9Uydwn5L9Ppopw9y3kvyz+CQFfNOS\\u002fWQOHnxM75L9+EVS7FkLkv1NRUBNrSeS\\u002fXezzshRR5L9QLWznGFnkv6U86Sx+YeS\\u002fXHZtFExq5L8z85oii3Pkv7XBJahEfeS\\u002fwXm3lIKH5L+aazJFT5LkvyfjXk61neS\\u002fpCkjRb+p5L\\u002fimHaFd7bkv3LXSPnnw+S\\u002fZwOY4BnS5L\\u002fFIOubFeHkvy+0WXri8OS\\u002f71Y2jIYB5b+ouFh7BhPlv0+H5GllJeW\\u002fWc9G2KQ45b87a\\u002fuSxEzlv0H2gKjCYeW\\u002feWy0Z5t35b8FOJ9mSY7lvyj2k5HFpeW\\u002fQshIQge+5b+zl3JeBNflv\\u002fRIPH2x8OW\\u002fDVfQEgIL5r9GhQuh6CXmv\\u002f\\u002fuVOxWQea\\u002fOE6DMz5d5r\\u002f3Qalpj3nmv33ymnA7lua\\u002fc8X+UjOz5r+R28B8aNDmv52XzfDM7ea\\u002fRxcKe1ML578B1pnd7yjnv4EFnviWRue\\u002fq8e86z5k5798iuMw34Hnv\\u002fVv369wn+e\\u002f4\\u002fCPyu2857+p1qFhUtrnvzI+6tGb9+e\\u002fUqOh6sgU6L+7C+Xc2THov4BxBiXQTui\\u002fy8NUbq5r6L+sjB5yeIjov8D5x9Iypei\\u002fqT3d8+LB6L\\u002fouhTQjt7ovzoAOc48++i\\u002fqVPxlfMX6b8UhFjluTTpv0s8RWiWUem\\u002fyY0Vko9u6b81Xrl6q4vpv1p2nb\\u002fvqOm\\u002fANj7aGHG6b+AhPbTBOTpv63RwKHdAeq\\u002fkan5q+4f6r+idjf+OT7qv+fepdTAXOq\\u002fLpt2n4N76r9WZ8oKgprqvy3qnQq7ueq\\u002f6BUx6izZ6r+nXk5e1fjqv16TypmxGOu\\u002fyV+OY744679gnXct+Fjrv1OTYitbeeu\\u002fx\\u002fSxaeOZ6787hLfijLrrv11jbpJT2+u\\u002f6r0KiDP8679vGfj0KB3sv9169zgwPuy\\u002fXRQo60Vf7L+Tid\\u002ffZoDsv29QUSuQoey\\u002fvoseIb\\u002fC7L\\u002fUNQBR8ePsv+Ho04AkBe2\\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fIO6W5HAX4D8LLMu2XArgP9Onjd+O+t8\\u002fG26E+1fg3z+O0oFNC8bfP22kP0mgq98\\u002f+L0DfA+R3z9EU++2UnbfPyd+szBlW98\\u002f8LjXnUNA3z\\u002fOXAE\\u002f7CTfP+3Y8OReCd8\\u002fmlQw6pzt3j+t6LUiqdHeP0K5\\u002f8GHtd4\\u002fpDRwOD6Z3j9J7+oI03zePziE5ZdNYN4\\u002fqURK9bVD3j8sTauiFCfeP+f9WldyCt4\\u002fm1QKxNft3T8iBY5XTdHdP\\u002fB6YAbbtN0\\u002f3IJhFoiY3T8Z2jTwWnzdP8YnePdYYN0\\u002fmRfYaoZE3T\\u002fkutRM5ijdPyN6yFV6Dd0\\u002fPWKE70Ly3D+tIpI6P9fcP6Rr6RxtvNw\\u002fOT6lWcmh3D+T4gexT4fcPwE14wf7bNw\\u002fwkhIlcVS3D\\u002fgUDYVqTjcP7ps3v6eHtw\\u002ftj\\u002f5vKAE3D9Xwpzmp+rbP7\\u002fZ\\u002fHau0Ns\\u002f2g6IAq+22z9VCuPnpJzbP7HKYHuMgts\\u002f0S66K2No2z+MbPSeJ07bP3E9msbZM9s\\u002f\\u002fJSl6noZ2z\\u002fwF7aqDf\\u002faP9aucfWV5No\\u002fH8Mu9hjK2j\\u002ftTEn5nK\\u002faPzwew0cpldo\\u002fZjML+8V62j+\\u002fuf3Je2DaP4KTXdBTRto\\u002f7C4vUlcs2j9vjHp8jxLaPyCJDiUF+dk\\u002f\\u002fGXpisDf2T\\u002fE0OkYycbZPxZoYCwlrtk\\u002fEhME4dmV2T92Hazj6n3ZP5+TCk1aZtk\\u002fQ+RwhShP2T9ZgHEyVDjZP75t9C7aIdk\\u002fVwsUjrUL2T\\u002fmMNSo3\\u002fXYP9sPgjZQ4Ng\\u002fd25Ib\\u002f3K2D\\u002fkq0M43LXYP8kGJVjgoNg\\u002fuFk+s\\u002fyL2D8YQ6CNI3fYP3OczdFGYtg\\u002fMTtpWlhN2D9Q6C49SjjYPxLOfhUPI9g\\u002fx4TDTJoN2D8tYgZf4PfXP+BzGxrX4dc\\u002fFg3u1XXL1z+QTJ+ktbTXPwZzWHmRndc\\u002f8CLqRAaG1z+GVY4HE27XP198Y9e4Vdc\\u002ff1l62\\u002fo81z9J9JM73iPXP6MS8ARqCtc\\u002fkynNBKfw1j9qRHeZn9bWP7d7+npfvNY\\u002fhPO9fPOh1j9p1XRJaYfWP9Zr8hrPbNY\\u002fna2EbzNS1j\\u002fnsYS+pDfWP1Nxzi0xHdY\\u002f3unISeYC1j92dZXB0OjVP3lo4Sj8ztU\\u002foJKwwHK11T\\u002fb+EpIPZzVP68pRddig9U\\u002fwjBiwehq1T9FztGE0lLVPwuuDsMhO9U\\u002fG3NgRNYj1T8fEMYF7gzVPwqcz1Bl9tQ\\u002fMg613Dbg1D8Sa8L3W8rUPwcoA7jMtNQ\\u002fQPTuMYCf1D+YkLqzbIrUP4qX2AOIddQ\\u002f64Eoocdg1D9EDU4DIUzUP3ttsNmJN9Q\\u002f1CavR\\u002fgi1D8zmrEcYw7UPxCH1QbC+dM\\u002ffjEnvw3l0z\\u002f7bXouQNDTPy1jLYpUu9M\\u002fiBVTaEem0z8za\\u002fvKFpHTP1LfhiLCe9M\\u002fbi4sR0pm0z\\u002fjdgxqsVDTP2tPZf76OtM\\u002fVvGemysl0z9LrR3ZSA\\u002fTP1uC4CRZ+dI\\u002fKRUSlmPj0j+K0sS8b83SP8FkHnCFt9I\\u002fSZo5nKyh0j\\u002fSgQAR7YvSP1wNM1NOdtI\\u002fPoG5cNdg0j8M7UXZjkvSP\\u002fG+JTx6NtI\\u002ftSf9a54h0j+GkfpI\\u002fwzSP4EQ4rGf+NE\\u002fuKwgfIHk0T+U++ZypdDRP1vzGl0LvdE\\u002fs3bDCbKp0T\\u002f\\u002f7WVil5bRP6R0qIK4g9E\\u002fHppq1BFx0T\\u002fvQmwvn17RP4Z4hvtbTNE\\u002f515tVEM60T\\u002fYVu0tUCjRP8SWl3d9FtE\\u002fKhncPsYE0T9QTJ\\u002fOJfPQP07xcMuX4dA\\u002fuGCmSxjQ0D8qILzqo77QP\\u002f5kiNc3rdA\\u002flbfw3NGb0D+oTP9kcIrQP1qkX3YSedA\\u002fGmh0rLdn0D9fKWEqYFbQP1h3iIkMRdA\\u002fhLAgxL0z0D+7G58cdSLQP71i0AI0EdA\\u002f4rsN7\\u002ff\\u002fzz9XjqPfnN3PPzkraHFZu88\\u002flbqcuC+Zzz9ZWMkSIXfPP9WQMPwtVc8\\u002fu8Qr7VUzzz8IurdAlxHPP+8YNSXv784\\u002fWDMVmFnOzj9hSdps0azOP82vfV9Qi84\\u002fyyD4Mc9pzj+RaVPURUjOP4bjWparJs4\\u002fxP2zYfcEzj83muP6H+PNP4cZikccwc0\\u002fGkXwl+OezT\\u002fuOdzxbXzNP4IUkFq0Wc0\\u002fyBjNHbE2zT+QuL0PYBPNP+0mv8e+78w\\u002fV5wn0szLzD+3TFjXi6fMP7QaqLb\\u002fgsw\\u002fMOL8ky5ezD8J8TrXIDnMPzH2Ch3hE8w\\u002fkiHUGHzuyz\\u002fcBihoAMnLP+quPVh+o8s\\u002fUqx2ngd+yz+2o0EFr1jLPwE9\\u002fw6IM8s\\u002fcMnWkKYOyz8hKaVHHurKPwcNYWkCxso\\u002fGzpyNWWiyj9VB42GV3\\u002fKPxxKp2joXMo\\u002fcxWQtSQ7yj8ZP5i6FhrKPwUZj+nF+ck\\u002fICoelzbayT+HKUnIabvJPxC+hhBdnck\\u002ffVqMgQqAyT\\u002fYI4ataGPJP2FnDbxqR8k\\u002fWjLHkQAsyT9mjysKFxHJP3VJj0KY9sg\\u002fGUQo9WvcyD8cxWnid8LIP8uexEagqMg\\u002fluOQWsiOyD\\u002f0Uq3Z0nTIP+5MNZCiWsg\\u002f09CR6RpAyD+qbR1\\u002fICXIPxNUlqOZCcg\\u002fCcSs6G7txz8QTB6ci9DHPwPX\\u002fjnessc\\u002fHR0O0liUxz8nIEFe8XTHP9Yh+giiVMc\\u002fPuzDYWkzxz9GH8V\\u002fShHHP48vgxFN7sY\\u002fKIHwWX3Kxj8XJSMb7KXGP0P6b2+ugMY\\u002fCBT+kd1axj8+WDaYljTGP+95uR36DcY\\u002f4lDB5CvnxT\\u002fH1wBtUsDFPwb3NoOWmcU\\u002fIi+7yyJzxT+nAVBKI03FP7jffenEJ8U\\u002fWO6iAzUDxT9dA8HvoN\\u002fEP7MG5ZM1vcQ\\u002fxtrK\\u002fh6cxD+OyCAKiHzEP4MChwaaXsQ\\u002fvzAdcnxCxD82MCO6VCjEP01d5QdGEMQ\\u002fZP3hGHH6wz8Qmc4h9ObDP9k547vq1cM\\u002fzx6Y223Hwz+XDtLPk7vDPxERU0hwssM\\u002f7e0pYhSswz8lzMq4jqjDP+rzdnrrp8M\\u002f\\u002fNCgfjSqwz9gdQtdca\\u002fDPwcvgYSnt8M\\u002fujwiUNrCwz\\u002fQ6nkaC9HDP67Zu0054sM\\u002fPiLDcGL2wz83m6cwgg3EP3bC+GaSJ8Q\\u002f4MDnHItExD\\u002fGxuCLYmTEPwK8RRwNh8Q\\u002f8lAnY32sxD\\u002fCWvwfpNTEP+PecDtw\\u002f8Q\\u002fTUJ1yM4sxT+gF7oIq1zFP8+qvXXujsU\\u002f3ap9z4DDxT8NisExSPrFP7UKyjApM8Y\\u002flfQA\\u002fgZuxj+aYgqVw6rGP0oWWfE\\u002f6cY\\u002fyH4iTFwpxz\\u002fqqkdi+GrHPyo3gMHzrcc\\u002fhaLNGy7yxz+abvqfhzfIP94rq1Xhfcg\\u002fNAZSex3FyD9PaynkHw3JP+6LOVTOVck\\u002fHyBY2BCfyT\\u002fP+AoY0ujJPzc0PZ\\u002f\\u002fMso\\u002fBrDMHYp9yj+CchmbZcjKP27L8puJE8s\\u002fuPd8OfFeyz+95fQnm6rLP5u\\u002fjKyJ9ss\\u002fZzH5gcJCzD9F2KqrTo\\u002fMP617Fjg63Mw\\u002fAiDX8pMpzT80ANwHbXfNP7NpN5nYxc0\\u002f6Kd\\u002fSesUzj\\u002fyKAa9umTOP79vcBRdtc4\\u002fQyR4Y+gGzz9a2sEmclnPP7R807sOrc8\\u002fYVIdb+gA0D8z73OW5CvQPynhUt2CV9A\\u002fORgx1siD0D\\u002fWx95zurDQPzZ\\u002fAOpZ3tA\\u002fRTudl6cM0T9hjmf8oTvRP1hULblFa9E\\u002fpuKYm42b0T+nsCu1cszRP7upFn3s\\u002fdE\\u002fXlFR\\u002fPAv0j\\u002fIPhADdWLSP8zNfmZsldI\\u002fvMBoRcrI0j\\u002fpYFBSgfzSP4OzRSGEMNM\\u002fTLu0d8Vk0z+UWEycOJnTP5TfFaXRzdM\\u002fslDXwYUC1D+ucOeASzfUP9SqswwbbNQ\\u002fXktbYO6g1D8\\u002flvFxwdXUPy+VL1GSCtU\\u002fghGeOWE\\u002f1T+Eo4aXMHTVP\\u002fSNRv8EqdU\\u002fU4ftFuXd1T9G0WNy2RLWP3wupGLsR9Y\\u002fnoHluCl91j+fRdt+nrLWP3vKeaVY6NY\\u002f\\u002f4Tpq2Ye1z+kNIpA11TXP1XTEd64i9c\\u002faATzZhnD1z+4LUrBBfvXP2ztlnWJM9g\\u002f4eyAUq5s2D8IINMXfKbYP6qdtyr44Ng\\u002foAQRVSUc2T9st5WRA1jZP81KDuaPlNk\\u002faL3MTMTR2T+YGB+ulw\\u002faP6\\u002fCJ+r9Tdo\\u002fFBAq8+eM2j9fjPz3Q8zaPwIt9p39C9s\\u002fXDhSSf5L2z\\u002fYP7JyLYzbP8YMGAhxzNs\\u002fEaNs160M3D\\u002f5JG8AyEzcP5PZt2ujjNw\\u002fLAFaRCTM3D8gWptxLwvdP63LMg6rSd0\\u002fY8+I2n6H3T8QyYunlMTdPx0W0LfYAN4\\u002fLm\\u002fmFDo83j+oLxLXqnbeP9DV0l0gsN4\\u002fUvcGeJPo3j8EHsl6ACDfP+qJhkZnVt8\\u002f\\u002foIyOsuL3z8MhdwUM8DfPwzaUcao898\\u002fGfrolxwT4D+N7xrr+SvgP3kynkN1ROA\\u002fpxj6eZhc4D8s0jwhbnTgP1HptkwBjOA\\u002fYBvXU12j4D+5D3SVjbrgP9a20zud0eA\\u002fVtW6Apfo4D+CjMIAhf\\u002fgP8zcHXVwFuE\\u002f95zemmEt4T9vzKiCX0ThP85BnfNvW+E\\u002fYV4aVJdy4T+TnsOa2InhP7qiEEg1oeE\\u002fTsFyaK244T8kfe6eP9DhP4h91Tfp5+E\\u002feQAfQ6b\\u002f4T8HQ7G1cRfiPzQGx5BFL+I\\u002fcQ56DhtH4j\\u002feBV\\u002fS6l7iP\\u002f0qCR2tduI\\u002fMys9AVqO4j9FxJKZ6aXiP9pyRD1UveI\\u002f7YjzspLU4j\\u002fmUjVgnuviPxoc03RxAuM\\u002fKmLCEAcZ4z9ttPtjWy\\u002fjPyrIfMdrReM\\u002fSVDszjZb4z8AI4NSvHDjP2QcDXH9heM\\u002frN0Divya4z9q5vQvva\\u002fjP610khNExOM\\u002f0Aj655bY4z+8VONAvOzjP93ejWu7AOQ\\u002ftN9hQ5wU5D9pNFEDZyjkPxUbFxUkPOQ\\u002fZmyA39tP5D9+8OmUlmPkP7I1HwNcd+Q\\u002fkRK6ZTOL5D\\u002fFAxI8I5\\u002fkP2RPsyMxs+Q\\u002fkdw4uGHH5D9GskF5uNvkP+LvFLc38OQ\\u002fdLNdhuAE5T9xyzy7shnlP8BNweusLuU\\u002fn0ysecxD5T+3+TejDVnlP4GccJprbuU\\u002fM9WGouCD5T84m18yZpnlP0ETiBv1ruU\\u002fwWiatIXE5T+a3A0GENrlP32eX\\u002fiL7+U\\u002fVgl8gvEE5j+QmFDXOBrmP8FPdpFaL+Y\\u002fiyHy209E5j9DwxyXElnmP4jD3HidbeY\\u002fOwR8J+yB5j\\u002fRH4RO+5XmP\\u002frrMq3IqeY\\u002f\\u002fUdAHlO95j9tu9eYmtDmP6UU0iqg4+Y\\u002f1Dhk7GX25j81sJ\\u002ft7gjnP2w9Rh4\\u002fG+c\\u002fkx6TMFst5z\\u002fgqrl3SD\\u002fnP34w8cIMUec\\u002f6bX4Na5i5z92KwogM3TnP4RoO9Khhec\\u002fNetLdgCX5z+gwdjmVKjnP\\u002fl95Imkuec\\u002f6vCPLvTK5z+ZGMruR9znPw\\u002faohWj7ec\\u002f5mfNCgj\\u002f5z\\u002fger1DeBDoPzSPpjr0Ieg\\u002fwyF\\u002fa3sz6D9\\u002fVARXDEXoP91ilYukVug\\u002fL8yas0Bo6D+28Aup3HnoP0LZh41zi+g\\u002fxbVb5v+c6D8P6ru7e67oP5+5Y7rgv+g\\u002fxSzEVijR6D+q1uTwS+LoPwPLGPhE8+g\\u002fS0OvDQ0E6T\\u002f++dElnhTpP87G0qXyJOk\\u002f7BY+fwU16T\\u002fk4B9H0kTpPx4GBElVVOk\\u002fx\\u002fJYlYtj6T\\u002fx6\\u002foKc3LpPz4Dz1sKgek\\u002fjD11DFGP6T9VRDlvR53pP0koh5ruquk\\u002fX4lFW0i46T9WMo8jV8XpP5ZAW\\u002fYd0uk\\u002fKsqzUKDe6T8LNycR4urpPyPtJ17n9uk\\u002fb1sQjLQC6j+k434DTg7qP5S3tSi4Geo\\u002fG8KeRPck6j\\u002fafgNwDzDqP0m7dIEEO+o\\u002fBTRH\\u002ftlF6j94iPAOk1DqP8HP9HYyW+o\\u002fFfx4kLpl6j8P+3FLLXDqP5nqTDCMeuo\\u002f\\u002fJbSZdiE6j\\u002fAffC5Eo\\u002fqP\\u002fRy\\u002fKw7meo\\u002fH1T2flOj6j\\u002f9cj0+Wq3qP1TrJddPt+o\\u002f5zPVIzTB6j+hCc37BsvqP1ZTkELI1Oo\\u002faa7W9Hfe6j\\u002fbr9AzFujqP3ksEE6j8eo\\u002from8xR\\u002f76j\\u002fImNJTjATrP\\u002fsgSejpDes\\u002f\"},\"z\":{\"dtype\":\"f8\",\"bdata\":\"d73RQGkIxj9azhbtNJDFP14FjyozGMU\\u002fx9CqGFmgxD\\u002fphocvmSjEP3Zywk7jsMM\\u002fGFdF4SQ5wz9o49UVScHCP6Rloys5ScI\\u002fzmGC0dzQwT+N5P+VGljBP0QN+mXY3sA\\u002fDor7FvxkwD9NOW\\u002f019S\\u002fP6OvbOke3r4\\u002f0qQOMp\\u002flvT8tm1t9L+u8P77x2ias7rs\\u002fdYZWRfjvuj+UN3Se\\u002fu65P1NPT3iy67g\\u002fxV\\u002ffQhDmtz9BfskTHt62P9vLLfDr07U\\u002f4XwY4ZPHtD8E82zQObmzP9ccZC0LqbI\\u002fGr0FWT6XsT\\u002fTq1bcEYSwP8sgidaW364\\u002fk+0zcW21rD+MRuhASIqqP9lXjl\\u002fOXqg\\u002feHHbIKozpj9BSxTEhQmkP2+OMhEI4aE\\u002fjdL956F1nz\\u002fnDy5Q7C6bP3qKnBEA75Y\\u002fZbe+Ls22kj+xGfgjOw6NP\\u002ffEFLQgwYQ\\u002fQZU7zlcOeT8J7U3HaINhPwgvQzvzjV2\\u002fTSpglOJhd78vXEwbe52Dv8y6SWl\\u002feIu\\u002fVxBGGcKhkb84j6isNYCVvzKXEBK1WJm\\u002fDh9ben8snb81n4RaeX6gvyw9CUvCZaK\\u002f9nHr6d1MpL9\\u002fQ\\u002flBlDSmv9IsIjCuHai\\u002fgAyRf\\u002fEIqr968TEVHferv4d+U0Dl6K2\\u002fPvhuRfDer78+ZYCb6eywv1NNYZcH7bG\\u002feerHewfwsr8ZU+iaEvazv1ZHwYxF\\u002f7S\\u002fWS300K8Ltr8eJtO7Uxu3vzmJUq8mLri\\u002fWSLNnhFEub9wxc3a8Vy6vyVUXyCaeLu\\u002fcRTI5dOWvL\\u002fp1RfdYLe9v5XOmqP82b6\\u002fxoUdlF7+v7873H\\u002fYHZLAv85yMU2kJcG\\u002fPegowp25wb\\u002fbAUoQ503Cv9V9\\u002frdf4sK\\u002fESC1t+p2w78qfKZKbwvEvwW1w4rZn8S\\u002f0nBI8Ro0xb8aZRqyKsjFv9KE6u4FXMa\\u002fi9Tpv6\\u002fvxr9Yh9EQMYPHv9899lGYFsi\\u002fM7Yb\\u002fvipyL+\\u002fbrv2aj3Jv7kmaLkJ0cm\\u002fzEjkcfNkyr+56FztR\\u002fnKv\\u002fkbAXQnjsu\\u002fN5XZjrEjzL8Qi1LAA7rMv0K0VjY4Uc2\\u002fANkifWTpzb80Nxw6mILOv1Se7\\u002fXbHM+\\u002fuHET\\u002fS+4z7+1G7quRSrQv1WzzYPteNC\\u002fX32CjADI0L9fbk4qahfRv4CUwuYPZ9G\\u002fk\\u002fuqY9G20b9\\u002ftgFniAbSvzllQgMJVtK\\u002fLiwe3CGl0r+gPwGHnPPSv3jRTQY+QdO\\u002fwkKnXceN078wxyY99tjTv+zf2sCFItS\\u002fCq2HQS9q1L+DTkEzq6\\u002fUv0hSLQ6y8tS\\u002fGxN+Pf0y1b8EKpQQSHDVv\\u002fB4H6pQqtW\\u002fg0Yb6djg1b\\u002fdWJdHpxPWvzCFaquHQta\\u002f9OUoJUxt1r9NmQeazZPWv3Put1Xstda\\u002fbk+ygZDT1r\\u002fdweN\\u002fquzWv1YTNSczAde\\u002f9QLu4CsR1791MYamnhzXv4N1BuCdI9e\\u002fA4esI0Qm179+9Q3YsyTXvz1Ye7oWH9e\\u002fPw3fS50V178rWsEmfgjXv+VIfEH199a\\u002f6mL6H0Pk1r\\u002fdEJv4q83Wv5bOBNB2tNa\\u002fu+nHj+yY1r+G27sbV3vWvxmX9WkAXNa\\u002fjd8WoTE71r\\u002fqwIZAMhnWvw7Y4lVH9tW\\u002fwLepwrLS1b92QsKUsq7Vv4VPHHSAitW\\u002fB6s2J1Fm1b\\u002fs2N8vVELVv9l7DIGzHtW\\u002fUl8iTpP71L8Lb5zzEdnUvwjKdPhHt9S\\u002fufVQJ0iW1L9tHwO+H3bUvxlNlLHWVtS\\u002fhgu4BHA41L\\u002fF90Mu6hrUv6iSDY0\\u002f\\u002ftO\\u002f\\u002feZn5mbi078kImHsU8fTv7lw1sj3rNO\\u002fHgZ6qkGT079vpPtQH3rTv\\u002fxqppV9YdO\\u002f5AX27UhJ078TM+DlbTHTv\\u002fZb1I\\u002fZGdO\\u002f7v2\\u002f6HkC078v5LkuPuvSv3bSTSkX1NK\\u002fdS68Yve80r\\u002fecdtR06XSvxnEoXShjtK\\u002fXCeyW1p30r9HbZin+F\\u002fSv8oVqPh4SNK\\u002f9e6y0tkw0r\\u002fCnAN2GxnSv5cyNa8\\u002fAdK\\u002fMROjn0np0b8f\\u002fEKAPdHRvz9VxmAgudG\\u002ff7ff5Peg0b\\u002fWg34ByojRvwH0vLuccNG\\u002ftyMe63VY0b92MpIAW0DRv0EAiNNQKNG\\u002f3X0fdlsQ0b+ZgVYRfvjQv+UHzsm64NC\\u002fqj+IrRLJ0L+TOsKqhbHQv0QJ0I8SmtC\\u002fj86oE7eC0L9lMpvmb2vQv3m0cso4VNC\\u002fTqgssQw90L957Djh5SXQvwNNJx6+DtC\\u002fvb0eqR3vz78QX+uPosDPv4rB3IL9kc+\\u002fXgCFeyFjz7+LcdQzAjTPv1alg3mUBM+\\u002fSDbzec7Uzr+y18AEqKTOv6VRmcMadM6\\u002fmUweZiJDzr9GygrBvBHOv2KxF+Dp382\\u002fq614Cqytzb8rrx66B3vNv4t8PoYDSM2\\u002fbjLlAagUzb8HgKiP\\u002f+DMv32DuysWrcy\\u002fIiviLfl4zL86EOMEt0TMv8VGMu1eEMy\\u002fC1eepADcy7\\u002feh8scrKfLvwojQS5xc8u\\u002f2Qq5TV8\\u002fy7+qrkRFhQvLv09HtPLw18q\\u002f\\u002fYh\\u002fDK+kyr+FGzvuynHKv2W2bW1OP8q\\u002fVFNct0ENyr\\u002fyLSg4q9vJv6PWXIuPqsm\\u002f+A3SdfF5yb\\u002fA3I3o0UnJvxPEIAwwGsm\\u002fJxPJUwnryL8CZoSXWbzIvxnHFzQbjsi\\u002fXWoAMEdgyL8NwDBk1TLIvwTBd6e8Bci\\u002f95ty+\\u002fLYx79u9PK5bazHv7oL1cEhgMe\\u002f7qpYogNUx79\\u002fiCzEByjHv3oXfY8i\\u002fMa\\u002fMwt8jkjQxr\\u002fMJvyLbqTGv9Tw462JeMa\\u002f5F9gi49Mxr\\u002fhYeU+diDGv\\u002fElLHQ09MW\\u002f7lh9csHHxb\\u002fbN68jFZvFvyjLUxgobsW\\u002fKVCiifNAxb++da9ZcRPFv9ODihKc5cS\\u002f3eHR5G63xL+U9kem5YjEv+mD4tD8WcS\\u002fAwa7grEqxL\\u002fo\\u002fy5\\u002fAfvDvxRkZDHrysO\\u002f8WFJsG2aw79L3gjEiGnDv0bKzuw8OMO\\u002fdn2aaosGw7\\u002fPNMJFdtTCvxXZslcAosK\\u002f5hhjUy1vwr\\u002fAdOHMATzCv725Wj+DCMK\\u002fKgjyELjUwb\\u002fIL8WTp6DBv7YEgANabMG\\u002fzDzvftg3wb9ZKRf9LAPBv7rFaz1izsC\\u002fb4HlsoOZwL9gHtBpnWTAvxYNVui7L8C\\u002focbjE9j1v797hy+sdYy\\u002fvz5hIaVqI7+\\u002fFU1RpNC6vr+ArumAwFK+v3u0MNdR672\\u002fHjkUmpqEvb+9ruukrh69v8IkxU+fuby\\u002fnhOmCHtVvL\\u002f2gi30TPK7v9Wj+pcckLu\\u002fyPQgke0uu78rqclYv866v0L16RiNb7q\\u002fYxGwkk0Rur+wlfYX87O5vwX7sJhrV7m\\u002f74\\u002fexKD7uL8CUCVDeKC4v0E3xvvTRbi\\u002f\\u002fX0rd5Lrt79gSuFOj5G3v4N9Xa+jN7e\\u002fqPKV6Kbdtr8lRwgLb4O2v6BfhY7RKLa\\u002fv2jP\\u002f6PNtb8gxuSxvHG1v+ysrm\\u002fzFLW\\u002fehG4KiK3tL8Pt5GjJVi0vxrNmgje97O\\u002fhVoKiC+Ws7\\u002f6HkzSAjOzvxF7CopFzrK\\u002fOOWUn+pnsr+lo7WV6v+xvy3Vd65DlrG\\u002fYN3V\\u002fvkqsb8RecVoF76wv99Xl3urT7C\\u002fRI1Cdpa\\u002fr7\\u002f+z1GdId2uv7vO\\u002fTE2+K2\\u002fo6xZdxoRrb90BgAPHCisvxmuLrqOPau\\u002fpWjPAMtRqr+onM\\u002fELGWpv42DgcgReKi\\u002fTQz2LtiKp7\\u002fIW0793J2mv2+s7qN6saW\\u002fxxlDlgfGpL\\u002faPWv31NujvyzapWEt86K\\u002ftyu9zVMMor\\u002fGtwKfgiehvxyTotfqRKC\\u002fVBN+8GbJnr+LIsYZ8g2dv5B94tCaV5u\\u002fg2yWHW+mmb\\u002fBzw+aZ\\u002fqXvxuIZPxnU5a\\u002fCSF29D+xlL\\u002fWuhZYrBOTv\\u002f\\u002f6+pVYepG\\u002fb9bNzcDJj78tNThno6WMv+siw0pdh4m\\u002fcrgYrd9thr+1S3QwDViDv8Kh64S+RIC\\u002fLJT3EI5ler\\u002fhD2ql8kF0v5aovGSuOGy\\u002fu5ak3N7JX7\\u002fbNwwAeSI8v75GVqud2lE\\u002fGKrnCb1zZT9hIYydPAlxP2\\u002fdp3JRZnc\\u002fx\\u002fS\\u002fznnSfT8Vf2BNbieCP0qNCWk0boU\\u002f2z4QKeq9iD9tIJa9zRaMP5+Fk8oAeY8\\u002fb1cnekRykT9GHnleqCyTP1mc1FSU65Q\\u002f0tukUuSulj\\u002fZ3ULLaHaYP1f354\\u002fnQZo\\u002fLPPLvxwRnD9f0BfEu+OdP8vdw1NwuZ8\\u002fuKj7ve\\u002fIoD++PgVVVLahP8qyblqzpKI\\u002fjGbicdiToz9ADe34jYOkP\\u002f2ifIadc6U\\u002fL1oTaNBjpj+Un7gc8FOnPyXA083GQ6g\\u002fvTowxh8zqT8\\u002fqnLnxyGqP0xePh6OD6s\\u002f7n831UP8qz\\u002fB8+xmveesPxtgiY7S0a0\\u002fsaz11l66rj\\u002fZJ9sHQqGvP49g2UcwQ7A\\u002fLh7m9NG0sD+3Y3t\\u002ffSWxP6J5mz8tlbE\\u002fZdFfmd4Dsj8ibhsgknGyPy+SF7NL3rI\\u002ffzPWkhJKsz+jKsVt8bSzP4B8VWP2HrQ\\u002fyPh7\\u002fDKItD9l3rsYvPC0PwktAc+pWLU\\u002f41W+QRfAtT\\u002fiafdlIie2PySxIr3rjbY\\u002fsYcKApb0tj\\u002fx7STJRVu3P1fBIBUhwrc\\u002feS614E4puD8grAuf9pC4P3GmZbQ\\u002f+bg\\u002fp+ji6FBiuT+yzYrXT8y5P9hp7ltgN7o\\u002fN3vjAKSjuj\\u002feePVyORG7P1tIOvk7gLs\\u002faP0598Lwuz\\u002fI54t64WK8P5rMrtal1rw\\u002f0op2URlMvT\\u002fQCi\\u002fiP8O9P8IJTAUYPL4\\u002fdkQoppq2vj+vQfYfuzK\\u002fPzJem1ZnsL8\\u002f33De88MXwD93k+g5AFjAPwlkR\\u002f\\u002fXmMA\\u002f7vnNsjjawD8tnPX1DRzBP8T04etBXsE\\u002fBrKGkL2gwT+nIYwWaePBP028aEosJsI\\u002floAF+e5owj9KOitYmavCP34N6G4U7sI\\u002fy0oXfEowwz+G8DlZJ3LDP5hT3NeYs8M\\u002fJQPdF4\\u002f0wz81qgnV\\u002fDTEP5jSr6rXdMQ\\u002feibwSxi0xD8kGNqvuvLEP22CkjC+MMU\\u002fSIoInSVuxT\\u002ffXf8896rFP9Led8c858U\\u002fCUnJSwMjxj9I9\\u002fkNW17GP\\u002foAKFdXmcY\\u002fWicLOw7Uxj+PE81TmA7HPzMYoXUQScc\\u002fE4CoW5ODxz8IJstPP77HP+oIPc8z+cc\\u002fwXFwLZE0yD9E9jA3eHDIPxNKltcJrcg\\u002fwc9mwGbqyD+9zGEXryjJP0bhwCkCaMk\\u002f2PYQJ36oyT+DdE3kP+rJP5yM7qdiLco\\u002fT1te\\u002f\\u002f9xyj9p3gmeL7jKP7AhBEYHAMs\\u002fbeb0uZpJyz+rG9K3+5TLPwkkrvs54ss\\u002fqn+1SWMxzD+CLU5+g4LMPzn4KqOk1cw\\u002fq7YNCM8qzT\\u002fH3+VdCYLNP4n\\u002f9NJY280\\u002fy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i1WYfOy\\u002fn9hEr5l77L9befoAqXrsv75+ZsHIeey\\u002fmkraHPt47L\\u002f+fuDxQXjsv4caKc+ed+y\\u002ftKqt8hJ37L8w0vVJn3bsv\\u002f34X3NEduy\\u002fwZROwAJ27L9jHBg42nXsv6ptlpvKdey\\u002fUCwyadN17L8rZEfh83Xsv3hswgorduy\\u002fxZbWt3d27L9UgbOK2Hbsv5bMIfpLd+y\\u002f6lb0VdB37L8H1T\\u002fLY3jsv5d9T2gEeey\\u002fbF1SILB57L9JpcHOZHrsv+GuhDoge+y\\u002fCnbbGOB77L+4sRsQonzsv8x+T7pjfey\\u002fOZPGpyJ+7L9MKKxh3H7sv6gltGyOf+y\\u002fR5nxSzaA7L9OL+eD0YDsv6s04J1dgey\\u002f3MmdK9iB7L\\u002fgWGDLPoLsv91DUSyPguy\\u002fZzNME8eC7L9YkQJg5ILsv369bhLlguy\\u002fgIuHUMeC7L8xxR9siYLsv+Tq2Ogpguy\\u002f72IMgqeB7L\\u002f43IowAYHsv1gADzA2gOy\\u002f6ac+BEZ\\u002f7L9uChV9MH7svzdOkLr1fOy\\u002f9DF+L5Z77L9xsUWjEnrsv8rXjjJseOy\\u002f9D2uTqR27L9+9L67vHTsv\\u002f6wW423cuy\\u002fCu3uIZdw7L94EZkcXm7svxKks10PbOy\\u002f6ooA+q1p7L+\\u002fp5wwPWfsvzAc1V\\u002fAZOy\\u002fo0MG+Tpi7L\\u002fiprJzsF\\u002fsv++uBkAkXey\\u002fhHoDuZla7L9by48WFFjsvztgsV+WVey\\u002fWR8zXSNT7L9CHP2MvVDsv8iyYhZnTuy\\u002fpZ6ovyFM7L+2JAHl7knsv1gZN3HPR+y\\u002fWOA52MNF7L+Sh7QTzEPsvx360KHnQey\\u002f1yU+hhVA7L\\u002fh+oRNVD7sv5SgrBKiPOy\\u002fC1Mih\\u002fw67L8iUs38YDnsvx1lK3LMN+y\\u002f2u9GoDs27L+St0wKqzTsv4R3fQ4XM+y\\u002fHIgu+Hsx7L\\u002fDU4US1i\\u002fsv3dUk7shLuy\\u002fjAZ0d1ss7L8gwgsDgCrsvw\\u002fdBWaMKOy\\u002f4eOxA34m7L\\u002f4ImOqUiTsv8kf+6AIIuy\\u002f8e9Osp4f7L8ReiA2FB3sv3JxbxdpGuy\\u002fKB\\u002fy150X7L+jjZOQsxTsv08y4+6rEey\\u002fsnRxL4kO7L80KCQVTgvsv17lnd39B+y\\u002fwdriMpwE7L+E1XQaLQHsvyeZLuK0\\u002feu\\u002fPtUzCzj667+o1FYzu\\u002fbrv3geX\\u002f1C8+u\\u002fqnSk+NPv67+9rXeIcuzrv+qw1ssi6eu\\u002fiTrqhejl67\\u002f58soHx+Lrvx3BBxzB3+u\\u002f0CJh9Njc67\\u002fhyyQaENrrv7D0iWFn1+u\\u002fDMlh4N7U67\\u002fxg2DoddLrvyY5MwUr0Ou\\u002fA2GE\\u002fvvN679YRf7d5cvrv3bFRvnkyeu\\u002fTO3b\\u002f\\u002fTH679w8KQMEcbrv5eg97ozxOu\\u002f1tW\\u002fPlfC67+C0WR\\u002fdcDrv2LK+DSIvuu\\u002ftt4wB4m8679Y6petcbrrv\\u002fd7ZRA8uOu\\u002fsJJbaeK167+DGQpkX7Prv7lh1jyusOu\\u002ftDYn3sqt679ujxv7sarrvx1SOidhp+u\\u002fevSU6taj679t2uTREqDrv6bvO3oVnOu\\u002fnNfzl+CX678Q25v4dpPrv8QcvH\\u002fcjuu\\u002fYC9cHhaK678tfFPFKYXrv3SRglIegOu\\u002f3fYseft667\\u002fzFsOlyXXrv8Czgt2RcOu\\u002ffcppml1r67\\u002fnUQukNmbrv3yA5uUmYeu\\u002fYObvQzhc678EWAdudFfrv\\u002fckHrPkUuu\\u002f9jPW1JFO67+EMWTcg0rrv6H6fPHBRuu\\u002fVssQNFJD678eio2ZOUDrvxrqVM57Peu\\u002fFUEDHBs7679uEBFVGDnrv72xQ8ZyN+u\\u002fQLBJLig26783hcW7NDXrv4kX7hGTNOu\\u002f0AfQUzw067\\u002fC8B02KDTrv9zhYBdNNOu\\u002fQ\\u002fQ9HqA067+Xd2pdFTXrv29RzvyfNeu\\u002ffz88ZzI267\\u002fQKhJ8vjbrvzEIAcQ1N+u\\u002fsjYsqIk3679DOMSqqzfrvyc5OKCNN+u\\u002fZFMV6CE367\\u002fk5amkWzbrv7DDhvAuNeu\\u002fOV7\\u002fEJEz678IRdWkeDHrvxY2Ss7dLuu\\u002f3kbmV7or678DFlXTCSjrv0cd1bHJI+u\\u002fcrfOVfke67+zy0Qdmhnrv1zN7mSvE+u\\u002fLF7qgz4N67+f0xHATgbrv+OfIzvp\\u002fuq\\u002f16EE2Rj36r9yH4Qf6u7qv4wrIxBr5uq\\u002fNPt5\\u002fKrd6r\\u002fAyutVutTqv1AEbXmqy+q\\u002fMBEveI3C6r8ZVRHedbnqvwcXv3Z2sOq\\u002fRWtmEqKn6r+qf\\u002fRKC5\\u002fqv8H4v0rEluq\\u002fVHKCld6O6r8113bUaofqv\\u002fZbY6Z4gOq\\u002fRb5DdBZ66r\\u002f6VjNLUXTqv+jxHrw0b+q\\u002faK2swcpq6r8\\u002f0aysG2fqvwQaShcuZOq\\u002fC+QS3wZi6r+MdNclqWDqv4DdPFkWYOq\\u002fvB7IQE5g6r9NtAoST2Hqv98lgYoVY+q\\u002f2dKdDp1l6r8rfmbN32jqvxlV+ufWbOq\\u002f+pdInHpx6r8m3DVywnbqv\\u002fw1Z2qlfOq\\u002f1YfnLRqD6r8WuNs9F4rqv3OafiKTkeq\\u002fI8WkmISZ6r8DKRO94qHqv5PSADWlquq\\u002fUWwsU8Sz6r+4mQA5Ob3qv1GoVvP9xuq\\u002fj\\u002ft8kg3R6r\\u002fPjT09ZNvqv0d1uD7\\u002f5eq\\u002fxhr+Dt3w6r\\u002fsRmxW\\u002ffvqv6ns5+tgB+u\\u002fRjsjzgkT67\\u002fhpTMY+x7rv2rczfE4K+u\\u002fuNqNe8g3679E+r63r0Trv3ohI3D1Ueu\\u002fraFAGaFf679x+cOzum3rv+59haxKfOu\\u002fH+zCu1mL67\\u002fJJxrE8Jrrv2cdzbEYq+u\\u002f\\u002fQfPWtq767\\u002fDfhFgPs3rv7zuexBN3+u\\u002fAdLqTQ7y678PY4V0iQXsv3gTqUTFGey\\u002fiAuaz8cu7L\\u002f\\u002fyRdnlkTsvyH85I81W+y\\u002fQCxC96hy7L++RUxr84rsv61xItYWpOy\\u002fBL2qOxS+7L9riMK569jsv7Ugn4qc9Oy\\u002frjIcCSUR7b\\u002fGKLG2gi7tv2Txw0KyTO2\\u002f8CwPk69r7b9zRNPMdYvtvy1QjV7\\u002fq+2\\u002fhtzzCUbN7b+aTwDuQu\\u002ftvxS805DuEe6\\u002fKgtP6UA17r99UkBoMVnuv+yXEQG3fe6\\u002fQefvMcii7r9ZJ2wLW8juv8pAoTdl7u6\\u002fEZ70ANwU77\\u002fOkI5YtDvvv1l7r9ziYu+\\u002f\\u002fIkM31uK778bIWNrE7Lvv2HKdE792e+\\u002fdSDPjgYB8L9hnp0fGxXwvxfhAvo1KfC\\u002f+onNsFA98L89BiXPZFHwv0VaI99rZfC\\u002f+s4qcV958L8jhfsjOY3wv5o8h63yoPC\\u002fjZJ75IW08L\\u002fMwXTK7Mfwv7euxJYh2\\u002fC\\u002fs+mzwR7u8L8OfBwQ3wDxv+nsOJ9dE\\u002fG\\u002fohp98JUl8b9MbEr1gzfxv9qcTRokSfG\\u002f\\u002fxBSUnNa8b8cYVUgb2vxv1iPpaAVfPG\\u002fk1TVkGWM8b\\u002fKB1RWXpzxvz7heQMArPG\\u002f97TdWku78b8IqM7QQcrxv5\\u002fE0orl2PG\\u002fC5ASXTnn8b\\u002fmw6HFQPXxv7DjneX\\u002fAvK\\u002fonMkeHsQ8r9R5yvHuB3yv5\\u002fLU569KvK\\u002fBwfKO5A38r\\u002fZH2w\\u002fN0Tyv3IaVJi5UPK\\u002fo4UIcR5d8r9mho4abWnyv8v\\u002fovasdfK\\u002fEC1lYeWB8r8PDcGaHY7yv8K+6q9cmvK\\u002fhlU9Zamm8r\\u002fUq88gCrPyv5pQENaEv\\u002fK\\u002faNi28h7M8r+Yp1RN3djyv7zGyRXE5fK\\u002fTpTbx9by8r95SSMgGADzv1xugROKDfO\\u002fKKo5yS0b879DANCXAynzv\\u002fyxtQQLN\\u002fO\\u002fjtbIxkJF8794eZ7LqFPzv\\u002frkgz86YvO\\u002fIt4YmPNw879SMVqh0H\\u002fzv0Ux6ozMjvO\\u002fCOFbA+Kd879FlT03C63zvwcKmflBvPO\\u002fzFiZz3\\u0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Er1ozYPxOvhOK4dNg\\u002fGZkqSatc2D8HujNFpETYP\\u002fRpMcmbLNg\\u002fK5i+7IoU2D\\u002f8hMb8a\\u002fzXP5Pv2oM65Nc\\u002fIS27SvPL1z8ETFtRlLPXPz\\u002f45MAcm9c\\u002fZ2dS14yC1z\\u002f0UmXN5WnXP+xO2LcpUdc\\u002fTgy\\u002fZFs41z9q9Rk2fh\\u002fXP0HNqvqVBtc\\u002fEoUaxqbt1j9baHzJtNTWP1VMMC3Eu9Y\\u002fa\\u002f8U7dii1j8wS+a39onWP\\u002f4ah9IgcdY\\u002f0H7Z\\u002f1lY1j8yIaRtpD\\u002fWP2hB4KYBJ9Y\\u002fOEeli3IO1j+PhMBO9\\u002fXVP1um4XiP3dU\\u002f8Jkf8TnF1T\\u002fXJ3cK9azVP8QFxZW+lNU\\u002fl16h95N81T\\u002fkaGtBcmTVP7MawUxWTNU\\u002fzL2R2Dw01T\\u002fcWvKmIhzVPze\\u002f2JoEBNU\\u002fiUTl1N\\u002fr1D\\u002f1T2zOsdPUP2Bx\\u002fnF4u9Q\\u002f3bbAMDKj1D8xq\\u002f0T3orUP3zxccp7ctQ\\u002fnNL0sAta1D+bmjzWjkHUP7iGn\\u002fkGKdQ\\u002fM3DThHYQ1D+kfM+A4PfTP6QgE4ZI39M\\u002f9uCzqLLG0z+3xK5gI67TP6iuEm+fldM\\u002fTEWtwCt90z+nOPROzWTTP4Iz8P+ITNM\\u002fsmD1hWM00z99Afc\\u002fYRzTP6EeQBuGBNM\\u002fKwRTd9Xs0j9eMKQMUtXSP9kC1Nb9vdI\\u002fMjz1Atqm0j+ax1Xi5o\\u002fSP9P0I+IjedI\\u002fOuQsiI9i0j8OKNJ0J0zSP8ZANWroNdI\\u002f4GJ4WM4f0j8BmtVu1AnSPx6aMDH189E\\u002fBw+tkSre0T8xlLsNbsjRPwlC+824stE\\u002fD1k9yAOd0T\\u002fOY+ziR4fRPzNvEBl+cdE\\u002fn9omnp9b0T\\u002faxgUBpkXRP4dDCU2LL9E\\u002fUtbSKEoZ0T8YjvLx3QLRP3wo49RC7NA\\u002fWWrY4HXV0D9JJfcWdb7QP0TlqHQ\\u002fp9A\\u002f4kvZ+NSP0D8OAwikNnjQP2hJN3NmYNA\\u002fL7jbVWdI0D9bXQ0fPTDQP9QEVHLsF9A\\u002fPe\\u002f\\u002fWPX+zz+CLiqS283PPxUsv4mYnM8\\u002feaCu\\u002fDlrzz9PWwEpzjnPP7Gb\\u002f4ljCM8\\u002fkf4olAjXzj\\u002fjVWZyy6XOP\\u002fMb0cW5dM4\\u002fJhRYaeBDzj8mm206SxPOP9XlyucE480\\u002fAN0sxxazzT+EWsSyiIPNPwJb5e5gVM0\\u002fFWNQGKQlzT+W\\u002fD8bVffMP2sAMzN1ycw\\u002fm3c88wOczD+4THRW\\u002f27MP2fQ+ddjQsw\\u002fGhvTkSwWzD8LZNNhU+rLP5wclxPRvss\\u002fboKPjp2Tyz+otggHsGjLP6d2DTH\\u002fPcs\\u002fiUcKdIETyz9zJxceLenKP3FM2pX4vso\\u002fgrkHitqUyj885JcdymrKP0Ga6g+\\u002fQMo\\u002fFwkq4LEWyj9XYGPrm+zJP9sX7oR3wsk\\u002fWonfCECYyT9GU23o8W3JP9cERbCKQ8k\\u002fgvwBCQkZyT\\u002fMZQqybO7IPxstOXe2w8g\\u002fWe3TIeiYyD8l2GBlBG7IP277AMkOQ8g\\u002f59r+jQsYyD9Y80eU\\u002f+zHP8V4iT3wwcc\\u002foZKlT+OWxz\\u002fr1C7X3mvHPxQQjArpQMc\\u002fVVBXLggWxz\\u002fpk3h7QuvGPwwBaAeewMY\\u002frOTsriCWxj\\u002fNOZcD0GvGP3WYGTyxQcY\\u002f0OqRJ8kXxj9dzrgjHO7FP1G32hWuxMU\\u002fWFNrZoKbxT8bvvP+m3LFPxpBD0r9ScU\\u002fJtsgNaghxT860GUznvnEP+gjB0Lg0cQ\\u002fAwnN7G6qxD+a3RtTSoPEP0\\u002f+6SxyXMQ\\u002ffjVoz+U1xD+fYyMxpA\\u002fEPwu3dO2r6cM\\u002fNNElR\\u002fvDwz\\u002fZAD8qkJ7DPwihBi1oecM\\u002ffSVJkIBUwz\\u002f+wRA\\u002f1i\\u002fDP59xAc5lC8M\\u002fJ9qZeivnwj9Gw6IqI8PCP\\u002fcsHWxIn8I\\u002fd0sCdpZ7wj8XligqCFjCPxClnRiYNMI\\u002fMNe9hEARwj+lx0hs++3BPxG+pJDCysE\\u002fBtJzgo+nwT8T3IuvW4TBP+MKT3MgYcE\\u002fMo9OKdc9wT8v8wtCeRrBP0HtmFkA98A\\u002fXIHBT2bTwD8hq1lhpa\\u002fAP40vN0K4i8A\\u002fxShSN5pnwD+53nswR0PAPyT6E+G7HsA\\u002ffM5Aruvzvz\\u002f1IVkg56m\\u002fP+09shZpX78\\u002fHRgcsHIUvz9qZptBB8m+P3YmcGMsfb4\\u002fE3fD9Okwvj+7S3IVSuS9PzdXnhVZl70\\u002fk2jmWiVKvT8t+WE7v\\u002fy8PyV3t844r7w\\u002fHlngtaVhvD+g0GfaGhS8PxdsJyauxrs\\u002fjb62NHZ5uz\\u002f42u7\\u002fiSy7P9nQBokA4Lo\\u002fJ2fqf\\u002fCTuj+1Hn\\u002fqb0i6P+R0lM2T\\u002fbk\\u002f2wE72W+zuT+aRDIaFmq5P\\u002f7FBrKWIbk\\u002fACNal\\u002f\\u002fZuD8gFaVfXJO4P3yekRO2Tbg\\u002fRCbSDhMJuD\\u002f55BrsdsW3P\\u002f\\u002fsnn3igrc\\u002f3wEr0lNBtz+AA7BGxgC3P12yxqMywbY\\u002fGb5wRo+Ctj\\u002fuNRlT0ES2P4knmvHnB7Y\\u002fNBrYkMbLtT\\u002fqfVcwW5C1Pz1KDa6TVbU\\u002fcOeTFl0btT\\u002faweD1o+G0P7wSlqZUqLQ\\u002fv5oXnltvtD\\u002fbIKCzpTa0P\\u002f8XuGAg\\u002frM\\u002fiBqb+bnFsz9m+VDcYY2zP+6vfpUIVbM\\u002fyiQ6+p8csz\\u002fjoXc2G+SyP5xz989uq7I\\u002fRFfrnZBysj9MMNy1dzmyP0D7pk4cALI\\u002fNByymnfGsT\\u002f2DsCag4yxPy9uAOs6UrE\\u002fspYyjJgXsT8chNSql9ywP42zc2YzobA\\u002fcRFEm2ZlsD+OlCGwKymwPxb0J9b42K8\\u002fvFCinKNerz9i6ST\\u002fR+OuP29HuHbUZq4\\u002fC\\u002fMrqzXprT9z1RGRVmqtP\\u002fQBBaYg6qw\\u002fJ0IITHxorD+7CwpEUeWrP99A10aHYKs\\u002fUYMAuwbaqj+co3OFuVGqP5sf0PGLx6k\\u002fBC7Prm07qT+siHnaUq2oPxHbWhk1Hag\\u002fuMpvsxSLpz\\u002fB4TKx+famPxSO8PL0YKY\\u002fhKNsPCHJpT8rY+UupC+lP7ploSuvlKQ\\u002foIx2GYD4oz86VBcIYlujP+HZb6ytvaI\\u002feFnysckfoj\\u002fa6WDdKoKhP5lvZP5T5aA\\u002fPlATrtVJoD+1MNKym2CfP6hmLS\\u002fOMp4\\u002fp4\\u002f4ma8LnT\\u002fkUQs5wuybP3fiB1Sb15o\\u002fIX7rYeDNmT9y8e7nQ9GYPzoMlBOC45c\\u002fmx36Gl0Glz\\u002fkGJ5vmTuWP1fQfdD5hJU\\u002fiwQtSTvklD\\u002forcQrEVuUP2terxMh65M\\u002fLIIx\\u002f\\u002f6Vkz9HvyqNKV2TP0O08WsGQpM\\u002fkqlYBd9Fkz\\u002fZXOVy3WmTP87sFcQJr5M\\u002fOX03n0cWlD89+d9DVKCUP2kCk\\u002fTETZU\\u002feY6CywUflj8sLL78WBSXP7ofiIbWLZg\\u002fdnX1TmxrmT+8s3ys3syaP6PorFXJUZw\\u002fGAn6sqD5nT+CO2GMs8OfP3nJ0YWW16A\\u002feJd9hYvdoT9Lz79TLvOiPwDk9YbmF6Q\\u002fzKUQPA9LpT\\u002fhSc2o+IumP+6Ffbzp2ac\\u002flQqJyiE0qT8+gfY52pmqP0iUfTVICqw\\u002fdsjjV56ErT+U4bBQDgivP5AszT7lSbA\\u002fvNGuuoMTsT9xCY7AfuCxPw5J0wB1sLI\\u002fQ51AXwiDsz+lWV6O3le0P0H\\u002fCZ6hLrU\\u002flZ6DfAAHtj8\\u002fM3dpr+C2P56PnFpou7c\\u002fS2ChUeuWuD94wiWj\\u002fnK5Pw0BpS5vT7o\\u002fb+sxhxAsuz\\u002f+TfkMvQi8P2AzhvdV5bw\\u002fK27LUMPBvT8OdP3g852+P4aSTwvdeb8\\u002fn3HYTb0qwD\\u002f5fNhCZ5jAP0JYYUrwBcE\\u002fnL0SB19zwT890GmivODBP5cC948UTsI\\u002fGHseSnS7wj8kPcAI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2f5XoHN84R0j+RvpseBvbRPyo4SndY2tE\\u002frGRyqsS+0T8fthX9SaPRP+Aqsa\\u002fnh9E\\u002fr7sCHJ1s0T8coiHQaVHRPxmaYaZNNtE\\u002fGzON2Ugb0T9VjxkVXADRPykKDoGI5dA\\u002fAKBzyc\\u002fK0D+E\\u002fTkhNLDQP5U\\u002fmkC4ldA\\u002fdA8ZX1970D91U2IpLWHQP0CbT7MlR9A\\u002fVT5\\u002fZk0t0D+VYfTtqBPQP9HGjj569M8\\u002f53D0wx3Czz8gmhkrRpDPPyrT5O38Xs8\\u002fnZcUDEsuzz+JY3bXOP7OP+0Ql8LNzs4\\u002fMRANMxCgzj+BBGRYBXLOPy6wkgixRM4\\u002f3MDAohUYzj\\u002f9xfr4M+zNPxxxSEELwc0\\u002fiiltDpmWzT\\u002fMCm5Q2WzNP3umy1zGQ80\\u002f0Vgy\\u002flgbzT8bqzqLiPPMP1QIrQNLzMw\\u002f0MOZM5WlzD+X13jbWn\\u002fMP51pbNyOWcw\\u002fHouuZyM0zD94FSYwCg\\u002fMP3IyGJ006ss\\u002fYQTs\\u002fJPFyz9g6Pu2GaHLPwqse3u3fMs\\u002fVVyMcF9Yyz+pkKxbBDTLP8eTzsaZD8s\\u002f2Nx7IBTryj8eH47WaMbKP1TyKGuOoco\\u002fe93Cg3x8yj\\u002fxezDyK1fKP+Otx7eWMco\\u002fXm\\u002fSArgLyj+bSagmjOXJP3Gj4Y4Qv8k\\u002fwNwwrkOYyT9nooHpJHHJPz\\u002fXDoC0Sck\\u002fboYqcfMhyT+Cbnlg4\\u002fnIP+PIZHmG0cg\\u002flh2BUt+oyD\\u002f8aqDR8H\\u002fIP7gLORG+Vsg\\u002fdfW5R0otyD+7wVCxmAPIPwv5jnys2cc\\u002fuQlDuoivxz8j1r5QMIXHP\\u002fKcqvKlWsc\\u002fa+BnGewvxz+2le0CBQXHP0\\u002f97bLy2cY\\u002fzqz\\u002f9rauxj8PH29tU4PGP\\u002foKTY7JV8Y\\u002fVC5Athosxj+0eJcySADGP2y+E05T1MU\\u002fwmreXT2oxT93AyXOB3zFP3uS1y20T8U\\u002fc\\u002fcROUQjxT\\u002fHY8XhufbEPwxuR1YXysQ\\u002fzcB+BV+dxD\\u002fS2Xmgk3DEP+kKUhm4Q8Q\\u002fe01Tn88WxD+F33eY3enDPy9sXJjlvMM\\u002f8RjmVOuPwz9+n+aY8mLDPxUkGzX\\u002fNcM\\u002f20bw7xQJwz9MoIB0N9zCP1YuSkFqr8I\\u002favkal7CCwj8mUbVoDVbCP+t1qEuDKcI\\u002fVmrTahT9wT8JOv16wtDBP+yF4LGOpME\\u002fwfn3v3l4wT8H6EbNg0zBP4shRXmsIME\\u002fOcf\\u002f3fL0wD8I3WqWVcnAP3xnycfSncA\\u002fK278LWhywD\\u002fq8nQqE0fAP\\u002fVNctXQG8A\\u002fDuJLIjzhvz8ufo8874q\\u002fP9qpNmO0NL8\\u002fdR++E4Xevj9aJTMLW4i+P2MwdHAwMr4\\u002fIhEG\\u002fP\\u002fbvT+2E3ocxYW9P027dRZ8L70\\u002fNj6HHyLZvD9\\u002fChJztYK8PzuAw2A1LLw\\u002fBc8oVKLVuz8xfCrV\\u002fX67P3ReX4FKKLs\\u002fzbZW\\u002fovRuj9ATSblxnq6P\\u002f\\u002fytKcAJLo\\u002fE3FicD\\u002fNuT8TodL8iXa5P4FawXTnH7k\\u002fOyTfPV\\u002fJuD9WjsrN+HK4P1RIR3u7HLg\\u002fMQLaT67Gtz9d4+7a13C3P2jOpwc+G7c\\u002f0Qpg9uXFtj8uoNza03C2P7ZCBOAKHLY\\u002f5NzXEY3HtT+9WD5OW3O1P2hEDD11H7U\\u002fplCDT9nLtD8IklfHhHi0P\\u002fH6GcVzJbQ\\u002fJOW5XaHSsz99wKO2B4CzP3lB2iegLbM\\u002f+5xCY2Pbsj+qbjygSYmyP72Ug8pKN7I\\u002fXzJGs17lsT+oo0tDfZOxPzjCAq2eQbE\\u002fS5FOnbvvsD+sIvBpzZ2wP7wgezzOS7A\\u002f89mucXLzrz+DUNo8FU+vPz8tccZ\\u002fqq4\\u002f8JFPkK8Frj\\u002fc2pfMpGCtPzgkJWliu6w\\u002f5QnOC+4VrD\\u002f4bZD\\u002fT3CrPy4ZFhOTyqo\\u002f7aZVacQkqj9JRmE9836pPzq4u5ow2ag\\u002f0\\u002fHJC48zqD9AgitAIo6nP5U97Kz+6KY\\u002fpOedKDlEpj\\u002frJniF5p+lPzPFnysb\\u002fKQ\\u002fJFCstepYpD9yBG2RZ7ajP9JNzKaiFKM\\u002frCGFBqtzoj+NTSiijdOhPzgIsw5VNKE\\u002fw0a1UgmWoD+6vn6BX\\u002fGfP0dQCr2VuJ4\\u002fYPO1sbSBnT+pGdEItkycP23qUNWNGZs\\u002fVhIVxSromT9D\\u002fapndriYPxkWY4hVipc\\u002f4U84mahdlj\\u002fFx8krTDKVP2IeenUZCJQ\\u002fsJOw2+bekj81AzWFiLaRP7rlsO3QjpA\\u002flssG8SLPjj8GXZcANoGMP5F\\u002focF8M4o\\u002fecd98pnlhz\\u002f5+RpKMpeFP92nglTtR4M\\u002fhFVJOHb3gD9o+8\\u002fH+Ep9P5yAhUVoo3g\\u002f0Ha2NK73cz8jqVzDko5uP7PpX3qJI2U\\u002ff\\u002fzUaN9aVz+Ft3+2dFwxP++9QNDYik2\\u002fgkSoIOD9YL8iXfqDVaZqv7GyD7QwLnK\\u002fOo\\u002fGtBkQd7\\u002fCl0bK7\\u002fh7v2unDI9XdIC\\u002fCm2R8aLvgr\\u002fqXoAaSm6Fv2YYgfg18Ie\\u002fBb8ZRUh1ir+mCpxtW\\u002f2Mvxfi7nxCiI+\\u002fEf1YhOQKkb+6NVaS2VKSv7Zf6K\\u002fem5O\\u002fFXYuZ87llL8Ps1uSfzCWv37UUHPFe5e\\u002fS5gV12\\u002fHmL+Cxr5GSxOav24fEkchX5u\\u002foKrtp7iqnL92+Rzk1fWdv+ns3pE7QJ+\\u002flSv2cdVEoL\\u002fTDSsd8uigv6v9CeFTjKG\\u002flJPPENsuor+UpDyYaNCivxiMhlvecKO\\u002fGoj2mR8QpL\\u002fvPo1REa6kv+A426GaSqW\\u002fmOIkLKXlpb\\u002fx99luHX+mvzDAZRrzFqe\\u002f+QBoXRmtp781Nn4mh0Gov\\u002fBr6Vk31Ki\\u002fMoCO+Shlqb9h6gs+X\\u002fSpvxAx6J\\u002fhgaq\\u002fcIEt0LsNq7+Aoh+g\\u002fZerv2e6F9i6IKy\\u002f687y\\u002fQqorL+LJeILCS6tv8c8zRjTsq2\\u002fuWfR84k2rr8CpcC0ULmuv+OyzUNMO6+\\u002fO1bU2qK8r78QH3DBvR6wv\\u002fmVXMj+XrC\\u002feEWnESifsL+POm\\u002fTTN+wv4nI0a9\\u002fH7G\\u002f9AhZf9Jfsb9KYrshVqCxv+EMAlYa4bG\\u002ftfIAmy0isr+zRtcYnWOyv4309pN0pbK\\u002fcK\\u002fyab7nsr9PZRCYgyqzvzO2WcvLbbO\\u002fkWKfeZ2xs7\\u002foJKEC\\u002fvWzv+TTStjxOrS\\u002fQqu7rHyAtL+C25akoca0v1eI7otjDbW\\u002fyp\\u002f1C8VUtb\\u002f9l4rfyJy1v+1CngRy5bW\\u002fqTN36MMutr\\u002fqPdyMwni2v7mUR6Ryw7a\\u002fNuZno9kOt78hJWXG\\u002fVq3vyXRmgjmp7e\\u002fi3nADZr1t79sqMn7IUS4v8DbHkWGk7i\\u002fheEvY8\\u002fjuL8Z6cKBBTW5v6e9yBswh7m\\u002fgLPjilXaub+diDGLei66v9KCRrWhg7q\\u002flzCf8MrZur\\u002fjJhzh8jC7vxHhXVISibu\\u002fQaoMpB3iu79Kkj86BDy8vzSMTPWvlry\\u002fButRtATyvL9w0L3l3029v4R2+igYqr2\\u002fhZ42BH0Gvr\\u002fdPgCx1mK+vyi3FQLmvr6\\u002fSHdwZGQav79Cyhz9A3W\\u002fv5w49+Rvzr+\\u002f5nRxQSYTwL8mBUACHD7Av6oWbHrlZ8C\\u002fld3xd0yQwL\\u002fW1Zy4GLfAvxqF1l0Q3MC\\u002fLHyKa\\u002fj+wL+7gH9QlR\\u002fBv7maTXarPcG\\u002fviXo1v9Ywb\\u002fYD4uVWHHBv4sjvJh9hsG\\u002fZlv9IjmYwb\\u002fZZMRnWKbBvyYPThqssMG\\u002fD4fy8wi3wb+H67gvSLnBvymlDflHt8G\\u002fvneuy+uwwb\\u002fDvxjDHKbBvx\\u002fECNjJlsG\\u002fvk7jCuiCwb\\u002fVjDN6cmrBv60UvWRqTcG\\u002fW0X7Ftcrwb8xXELExQXBv8\\u002fcEUxJ28C\\u002fBoOB7HmswL+6NgjjdHnAv+usLf1bQsC\\u002f4vcBG1UHwL\\u002fifPFKE5G\\u002fv129\\u002ffVLDL+\\u002fz16fqbGAvr8e62NPpe69v3FwtgWKVr2\\u002fGryD38O4vL9FWUarthW8v+Od48bEbbu\\u002fnnWIBU7Bur+3IWGsrhC6v3VfnIo+XLm\\u002frCGqMFCkuL+nlRJKMOm3vwpInhwlK7e\\u002fKdHWLm5qtr+V1ysXRKe1v7PXRXTY4bS\\u002f\\u002f6NKDlYatL\\u002fRlBIg4VCzv9ShjMaXhbK\\u002fRaLWk5K4sb8wPeFC5emwv5rY14efGbC\\u002fly3u8ZuPrr9vmAUW9uisv7k6UjhgP6u\\u002f+uqqD+2Sqb\\u002fLY4l7seOnvx9FKq3GMaa\\u002f1Y8iQEx9pL+f9SY3asaiv6C3NNJSDaG\\u002f\\u002fMHjZ4iknr+tSOGZEyubv4i9Bgn7rpe\\u002fy9XvLxExlL\\u002fRzbdUSLKQv7iQSgFmZ4q\\u002f3icIlAdtg796iDm1MfB4v\\u002fQVa6\\u002fhLWa\\u002fw03bv0hcRT+uMxVBsFBwP5OAsWil0X0\\u002fGobyKKOThT\\u002fxd90RICWMPzyh2OPITJE\\u002fwgwgmp52lD8w5p6WN46XP5AT\\u002fxfEkZo\\u002fcSdoJ4R\\u002fnT\\u002fKD83H5iqgPyGH692IiaE\\u002fwYsUs\\u002fHaoj\\u002fMVZL+fR6kP7flHlWgU6U\\u002fG9qOceN5pj+IQQs57JCnP6dy6nF7mKg\\u002fBtxdJW+QqT\\u002fvdHClw3iqP3mFMTKUUas\\u002fUhdcOhsbrD9sjU41stWsP+c+sRXRga0\\u002famy4VQ0grj\\u002fzFXefGLGuP18NNxW\\u002fNa8\\u002fWUk5P+Wurz9iNM3Swg6wP0+kKg9XQbA\\u002fIQw+bL5vsD9qjF2XjpqwPxbzBSZiwrA\\u002fcOAU19bnsD8pWurIiwuxP8mQoKofLrE\\u002fDyiZ7i5QsT\\u002fWlpgEUnKxP99uiqEblbE\\u002ffjfVGhe5sT9V8traxt6xP0el5fOiBrI\\u002fHNZO1hcxsj+EoS8uhV6yP+PqVuw8j7I\\u002fGESmfYLDsj8y8E4zivuyP4w9ud14N7M\\u002f\\u002fekrm2N3sz8G8JHaT7uzP8+IBZIzA7Q\\u002fhQMSqPVOtD\\u002fNse2Nbp60P70cRAhp8bQ\\u002ffSmJI6NHtT8rCzpQz6C1P4+s6qKV\\u002fLU\\u002f5IOHM5Vatj8r9M2WZbq2PwjWqWyYG7c\\u002faoHm\\u002fbp9tz+vgXXjV+C3Py6BdbH4Qrg\\u002f0iIhoCeluD+cad8scQa5P4SU1a1lZrk\\u002f5WaU0prEuT8dy8cMrSC6P1d1LtxAero\\u002fP0qO+QPRuj\\u002fJNthcriS7Pw0QORsDdbs\\u002fuQZrGtHBuz85EzqX8wq8P61D031SULw\\u002fJasgk+KRvD+zah9vpc+8P9SEyEipCb0\\u002fAWXNlAhAvT9o4At56XK9P7yfOBd9or0\\u002f9hLQsf7OvT\\u002fCQuOusvi9P\\u002fkDzXzlH74\\u002fpJhDXepEvj9QE5EbGmi+P9eiALPRib4\\u002fl0W\\u002f6nCqvj+xiYrsWMq+PwyOj9vq6b4\\u002f21bPcIYJvz\\u002fR5juiiCm\\u002fP4n4i1lKSr8\\u002fc4R6Px9svz+sjcyfVI+\\u002fP2t2DGowtL8\\u002fagNwUvDavz9qleuK5AHAP3X7n\\u002fFyF8A\\u002f67449jMuwD8u0n8PM0bAP4HUEoN2X8A\\u002fhH6oav95wD+Vp0nNyZXAP09FysvMssA\\u002fMUSD3\\u002frQwD\\u002fGUAcqQvDAPyjPS9SMEME\\u002f5lGFe8ExwT+538Spw1PBP7D3OVh0dsE\\u002fNULdeLKZwT8MojGFW73BP2REvQ9M4cE\\u002fwXbaVWAFwj8KcYjPdCnCP5yg9rpmTcI\\u002fSv+goRRxwj+nAfnUXpTCP0\\u002f0w+Ant8I\\u002fP12M8VTZwj+IF78tzvrCP5dRTQB\\u002fG8M\\u002f6R3xU1Y7wz+innm+RlrDPwipzJtGeMM\\u002f1sCUGFCVwz8uF9osYbHDP4iZCod7zMM\\u002fd7g2aKTmwz8PWoVy5P\\u002fDP0M+GGtHGMQ\\u002fQR3K8NsvxD+7I1gps0bEP\\u002fGFqGbgXMQ\\u002fjUL3xXhyxD8+iMDKkofEP+pvRfdFnMQ\\u002fuviDZKqwxD83om5b2MTEP5MkG\\u002fHn2MQ\\u002f1ySDp\\u002fDsxD8fLE4UCQHFP9ho8o5GFcU\\u002f2OxK57wpxT9GLo8lfj7FP6\\u002fCYVSaU8U\\u002fpMJ0VR9pxT+wLwrBGH\\u002fFP5JQX9CPlcU\\u002ffVvcUousxT9lEa+tD8TFP9YbSOUe3MU\\u002fSfUIsLj0xT\\u002fNqkuR2g3GP652z\\u002ft\\u002fJ8Y\\u002fi4p9eqJBxj+Ir2jeOVzGPzjB4HA8d8Y\\u002fhoNwKJ+Sxj8NoKDfVa7GP7ZyZYxTysY\\u002fkB8ud4rmxj\\u002fApKFw7ALHP\\u002floMQVrH8c\\u002frVnHrfc7xz82Dff8g1jHP+GWPMgBdcc\\u002fYcb3TGORxz9YafZQm63HP5XVgj6dycc\\u002fXpsMPF3lxz8E2p4\\u002f0ADIPwCXcR7sG8g\\u002fhPX4mKc2yD97yeVj+lDIP4BPli7dasg\\u002f\"},\"z\":{\"dtype\":\"f8\",\"bdata\":\"ZlAlAkZapT+RMENQdXqjP8y0RkJUlqE\\u002fLvCcTGFanz8FFCMp03ybP45nlunikpc\\u002fsXzidZ+bkz\\u002firxBXiSyPP6ToDix7BIc\\u002f1CWt8pd8fT9YFDwTWmZpP66wf5A2TVG\\u002fwPQgFBaWdb+rGu7J1ImDv2iKG+\\u002flZIy\\u002ffeVIKGStkr+sP1jQ2TSXv8cT2CrKx5u\\u002fXo5D34QyoL\\u002f21u3Wp4Wiv8qaoi6d3KS\\u002fIZJIL6o2p7\\u002f9bunHDJOpv3fC6i3+8Ku\\u002fGGwBhbVPrr+TgPJCNVewv79Weg0shrG\\u002fEeEidV+0sr9zzXnic+Gzv2RX\\u002f\\u002fkSDbW\\u002fkKXJrew2tr+gsBY3uF63v87M3fQ0hLi\\u002f2xjPLCunub8L15GsbMe6v6\\u002fmeUnV5Lu\\u002fJhlXPUv\\u002fvL+t221fvxa+v7adFjktK7+\\u002fubv3ek0ewL9gdPyXjKXAv8wUMUxhK8G\\u002f00cZv92vwb\\u002folDGaGDPCv2WFrqwstcK\\u002f+4QWgTg2w7+1GwrmXbbDvyoQtmvBNcS\\u002fW0SP14m0xL+sWxiQ3zLFvyEPjQLssMW\\u002fXzBmBNkuxr97Zbsy0KzGvyhPlFH6Kse\\u002f4shBrX6px785Adl\\u002fgijIv0cT5VwoqMi\\u002f8WFYpY8oyb\\u002fUHLUF1KnJv1L+SwANLMq\\u002fsH5RhU2vyr9PgGSaozPLvzsM9hIYucu\\u002ft1nQWq4\\u002fzL8vbsRTZMfMvw6eSUcyUM2\\u002foKyZ7Arazb\\u002fO5o+D22TOv2kfSgSM8M6\\u002fsclAY\\u002f98z7+oQaD0CQXQv0wbMs\\u002fRS9C\\u002fbFhyY8KS0L+qGiU4xdnQv4yzo4bCING\\u002f6wEij6Fn0b\\u002fBQDHySK7Rv19nSw6f9NG\\u002fvaYbYIo60r\\u002fWTSbk8X\\u002fSv9njZHi9xNK\\u002f8vFiPNYI07+6GmXuJkzTvzP1JkScjtO\\u002f49HEPSXQ07\\u002foJ3VxsxDUvyPYyU47UNS\\u002fZJdLWLSO1L9zY2FSGczUv9GNmmZoCNW\\u002fnSqbOqND1b8dBBj6zn3Vv5zsf1P0ttW\\u002f6a0jZx\\u002fv1b+nG+OoXybWv1UXnLTHXNa\\u002fVrzOFW2S1r9Igh8DaMfWv5j7kw7T+9a\\u002fJP+Xy8ov17\\u002f4nQZsbWPXv\\u002fJim1Xalte\\u002fFjRUsTHK17\\u002f+CGr2k\\u002f3Xv9jjnXIhMdi\\u002fx4qn0flk2L90\\u002fJulO5nYv9o7IvIDzti\\u002fz69FvG0D2b+f8aWgkTnZv5aprHGFcNm\\u002f+kpT31uo2b\\u002f2ktwpJOHZvzozueDpGtq\\u002f5L+crrRV2r\\u002fPopAziJHav4dul+1jztq\\u002f63U0MEMM279OJOsqHUvbv21ciP7kitu\\u002fLlDH4InL279UAqRN9wzcvwYjcUUVT9y\\u002fZ12OlsiR3L+YjGgx89Tcv5eqP4V0GN2\\u002fG4sH5Clc3b8DX5nr7p\\u002fdv6Y5VfKd492\\u002fR95EdRAn3r++TsyFH2rev8cX+TSkrN6\\u002fhSeP+nfu3r+75wgWdS\\u002ffv0UA4Od2b9+\\u002f2gecQVqu378EzFOr\\u002fevfv1Lywc4gFOC\\u002f838sV4Qx4L+8TebYG07gv3hDG+baaeC\\u002fm6OdO7aE4L85+KK8o57gvy34AGiat+C\\u002fx5hGR5LP4L\\u002fs0i1YhObgv\\u002f+sAHFq\\u002fOC\\u002f2EKnID8R4b9IPiyL\\u002fSThv1AAmUOhN+G\\u002fVjIaJCZJ4b8nQmgliFnhv1MrdTbDaOG\\u002fgb1hFdN24b9jOrgqs4Phv0O64Gdej+G\\u002foWa1Kc+Z4b9UhAkg\\u002f6LhvzrO3jrnquG\\u002fwTDpnX+x4b9NDeKav7bhvyBbCrOduuG\\u002fSuIWoA+94b8rGZxkCr7hvyCU6GOCveG\\u002f4DMWgWu74b8cEPREubfhv2A8RgpfsuG\\u002f9au1L1Cr4b+ZVKpOgKLhv7zgLHbjl+G\\u002fpVvUaG6L4b\\u002fow6\\u002fcFn3hv+vHC7zTbOG\\u002fzW\\u002fqZZ1a4b8eXv3sbUbhv1m+81NBMOG\\u002f1vXyxRUY4b\\u002f5phzK6\\u002f3gv21hFXHG4eC\\u002fRi6Ve6vD4L+HpSV5o6Pgv2jsT965geC\\u002f01ifEf1d4L9x4AJvfjjgvxZIP0FSEeC\\u002fgQWbYh\\u002fR379xMVZXoXzfv3AHmndjJd+\\u002fidEevKPL3r8HdEqRpG\\u002fev+2wYlisEd6\\u002fDyqt2QSy3b9toFip+lDdv5W1Q4Hc7ty\\u002f4EPlkfqL3L+gZcDMpSjcv3jR6Sovxdu\\u002fBts08uZh278Q46P7G\\u002f\\u002fav5VKsv0andq\\u002fZDT93C082r9q5rQFm9zZvxz7GtCkftm\\u002faoci8ogi2b+5yA8AgMjYv7fktf28cNi\\u002f9u6rAW0b2L\\u002fVDYjrtsjXv3SV4S27eNe\\u002fQK2KrJMr178dBCGvU+HWv9inxOcHmta\\u002fQq51jbZV1r9yXU6JXxTWv+soibX81dW\\u002f8lgBLYKa1b9VkaOp3mHVv8iXEfD7K9W\\u002fqmuTRr\\u002f41L\\u002fejk\\u002f1CcjUvxCvrc25mdS\\u002fuOS5tqlt1L\\u002f9g1s8skPUvwvYOB+qG9S\\u002fWcEw42b107+ykGtavdDTvxb1JCuCrdO\\u002fQp14ToqL078fXKmGq2rTv2Qsjsu8StO\\u002fWEEIrJYr079aQaCjEw3Tv9OfpWMQ79K\\u002fy55oD2zR0r+3mmRrCLTSv4\\u002fAa\\u002f\\u002fJltK\\u002fExkeLJh50r9q6So0XVzSvwniCzoGP9K\\u002fN6YUM4Mh0r9oN9bQxgPSv+Q59GHG5dG\\u002ff32hq3nH0b+Jewm92qjRv8eB9b3lidG\\u002fux7+uZhq0b9uUJRp80rRv1JSIvr2KtG\\u002f3S9y1qUK0b9UFHFwA+rQv01hSg0UydC\\u002ftK+1lNyn0L883C9kYobQvyUEsiarZNC\\u002fb85SsbxC0L9LcRflnCDQvxf2Jiyj\\u002fM+\\u002fmrui78C3z78Sx7UdnnLPv56CMU5FLc+\\u002fN0NIncDnzr\\u002fvdBmpGaLOvy2ZBJZZXM6\\u002fDR2DGIkWzr\\u002fAdTWDsNDNv5KextfXis2\\u002fYOZJ2QZFzb8rnsEeRf\\u002fMvyUZkSSaucy\\u002fkcC4Ww10zL8By941pi7MvwVKUS1s6cu\\u002fUHddyGaky78RFYuXnV\\u002fLv7Dhfy4YG8u\\u002fXxeFF97Wyr8\\u002fPN7B9pLKv763U2tpT8q\\u002fal2DBT0Myr9bILQXeMnJvypQD54gh8m\\u002fHh9A5ztFyb8Z\\u002fJBxzgPJv23nrMjbwsi\\u002ff\\u002fowZWaCyL\\u002fFtTePb0LIv3Rb\\u002fET3Asi\\u002fT\\u002fSgJvzDx7\\u002fRDQZoe4XHv\\u002f6AgMlwR8e\\u002fnnsQmNYJx78KoI61pczGv5KDEanVj8a\\u002fsGOYt1xTxr8W7tAEMBfGv6fRlrtD28W\\u002fVeKVPYufxb8pSURZ+WPFv8vSOoWAKMW\\u002f6i7HHxPtxL8c9m+xo7HEv9mJBTEldsS\\u002fYyzGR4s6xL8ToA+Uyv7DvwKjFenYwsO\\u002fo+saiq2Gw79v4LlfQUrDv3rk4iWPDcO\\u002feE9XkZPQwr9JVZFrTZPCv7htOaS9VcK\\u002fODKAV+cXwr8A++7Iz9nBvxx\\u002fgFJ+m8G\\u002f8vQTSPxcwb+0Oo\\u002fPVB7Bv\\u002fnnRa6U38C\\u002fI1t6DMqgwL\\u002fcZgkwBGLAv53Why9TI8C\\u002fdZWSPo\\u002fJv794h+Fz5Ey\\u002fv7E2lwzH0L6\\u002f7JWd+FZVvr+BOTdWstq9v6ml58P0YL2\\u002fWYT7uzbovL9Gt039jHC8v43crQQI+ru\\u002f5x4BmrOEu7+ygNhzlhC7v3IJyvOxnbq\\u002f9pJe\\u002fQEsur8v4N7ofLu5vyr+upITTLm\\u002fQqaxh7HduL8clUVNPXC4v5nBd8WYA7i\\u002fd0cqrKGXt78v3QMsMiy3v07MKYghwba\\u002fLHax10RWtr+QAUXPb+u1v\\u002fYfI5V1gLW\\u002fX81hmykVtb+l+TB8YKm0vyU4xdPwPLS\\u002fbHKUE7TPs7+xP6dKh2Gzv6OL8N5L8rK\\u002fsMDhM+iBsr9LYco6SBCyvw8f\\u002feldnbG\\u002fROQvmCEpsb+SbRU6krOwv58ww4C1PLC\\u002f+bQksC+Jr79G6ZaJmJauv8LfHEbYoa2\\u002fdCgSjC2rrL+MsVH14bKrv0p3D99Iuaq\\u002f+6e1Cb6+qb+WfEQPpMOov+ZohLdiyKe\\u002f6f8EMmXNpr\\u002fmgWQ+GNOlvx3vsUvo2aS\\u002fzADklz\\u002fio7863VlYhOyiv+L6JvQW+aG\\u002fBrGLWFAIob8Ci3FvgBqgvwdDIX7ZX56\\u002fE8Abcp6RnL+Vidt8qsqav8AkUrk9C5m\\u002fYo0djnxTl789SN0cb6OVv48AoC8B+5O\\u002fvd1\\u002fowJakr9OSx1NKMCQvwD\\u002fsaIaWo6\\u002fhxkF1WlAi78j+WcgGTKIv0a8nezcLYW\\u002fXksZrEgygr9ULGrLqXt+v1R+Ny\\u002fLnXi\\u002fiJWUp6HHcr8ZQTDYletpv+\\u002fpkZuOk1y\\u002fSekYgkgZNb9jl2m2hB1SP4vDJq8v0mQ\\u002fQm50lnpWcD+wIrWPO1J2PxW0oXLLXnw\\u002fu6ewLyk\\u002fgT\\u002f4mzgjVVmEP8RVbmetfoc\\u002fkGGYZMuvij+n0XuWHe2NP9E2peVzm5A\\u002fTGf2DKJGkj9Csq5BEviTP+5Q2Jeqr5U\\u002f84Vdmj9tlz8DZwrplTCZP1vdRgZk+Zo\\u002fL4UBSVTHnD8bl\\u002frmBpqeP2DwzQWKOKA\\u002fySnn9wYmoT8ZzeFzQRWiP33VNq7\\u002fBaM\\u002fxJys0wf4oz86ZWXkIOukP7FOqHgT36U\\u002f4hu2bKrTpj8Eqr1xs8inP8V+y4L\\u002fvag\\u002fEDlXPWOzqT9B4tMdt6iqP3U8YKHXnas\\u002f5KZdTqWSrD8D6kqmBIetP4+nwAPeeq4\\u002f6EDUZx1urz\\u002f5yDgdWTCwP0optYBHqbA\\u002fdkcFidQhsT\\u002fmP3og\\u002fJmxPyn87Um7EbI\\u002fihs6\\u002fA+Jsj9qRMIB+f+yPz3pUd11drM\\u002fdyxKtYbssz8BCNJFLGK0Pwtpa9pn17Q\\u002fV+79TjtMtT8H1BUYqcC1P\\u002f\\u002fKxVG0NLY\\u002fF2NP1GCotj8UmHFNsxu3P30QAl2xjrc\\u002fCo9Fs2EBuD\\u002fijFgvzHO4Pyss4\\u002fv55bg\\u002fKopMqPVXuT86bak8y8m5P2NquUaIO7o\\u002f041r3jutuj8ZjJeg9h67P\\u002fZa2Z7KkLs\\u002fEzjJQ8sCvD\\u002fNuR8rDXW8P\\u002fFRsu2l57w\\u002fBUCW4atavT8YrBvPNc69P5PBtZtaQr4\\u002f7VZE7DC3vj9VLo3Aziy\\u002fP3VuAwpJo78\\u002flokgoFkNwD\\u002fFt+Z6j0nAP9a1+bdNhsA\\u002fvCJAoprDwD8bgiMAewHBPwhYmuzxP8E\\u002f4bJOtwB\\u002fwT9AXBnNpr7BP7iS5Knh\\u002fsE\\u002fKvDa1Kw\\u002fwj9fy5DnAYHCP04OmaDYwsI\\u002fkGezAScFwz8YaHp54UfDP9wgLhj7isM\\u002fcvDszmXOwz9vNGK4EhLEPxJdq2nyVcQ\\u002fEk7xSfWZxD860vfuC97EP+jpsHwnIsU\\u002fuHi3BTpmxT8Os3XqNqrFP43WqDQT7sU\\u002fnyDu7MUxxj9ePw1oSHXGP53+yomWuMY\\u002fWLkz+677xj\\u002fj0H9Skz7HPy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ulaZztv4UI3nUOnu2\\u002fXx\\u002fMAqqf7b9U8zSdNqHtv2+xY62uou2\\u002fSsoczwyk7b\\u002fbNRXtS6Xtv3zzd1tnpu2\\u002fWYbg8Fqn7b+UvTcdI6jtv74s6v28qO2\\u002ftR\\u002f9biap7b\\u002f+PpcYXqntv0gqpXhjqe2\\u002ffZNX6Dap7b\\u002fQYU+d2ajtv0yPZKZNqO2\\u002fnDsN5JWn7b9jP4P8tabtv4nP3kuype2\\u002fkeJz0I+k7b8EgtUTVKPtvxV89RAFou2\\u002f\\u002fY\\u002fnF6mg7b9N0NyvRp\\u002ftv2089nfkne2\\u002fyEGUB4mc7b8LxcvOOpvtv7BzqPf\\u002fme2\\u002fnXTfSN6Y7b9LN40K25ftv3pSje36lu2\\u002fjmPs9UGW7b+mDOJos5Xtv3LzrL5Rle2\\u002f43yUmB6V7b\\u002fNcjy7GpXtv1xcXg1Gle2\\u002fMqjjmp+V7b\\u002fwaUOcJZbtv4Px7oHVlu2\\u002fnXCCA6yX7b9DuloypZjtvwRjH4+8me2\\u002f2YTBIe2a7b95gWOTMZztvyqLlUmEne2\\u002f4K5Ngt+e7b\\u002fNogBwPaDtv+W6QlWYoe2\\u002fQwJen+qi7b8cZFP\\u002fLqTtv+3KyIBgpe2\\u002fddN0nnqm7b9FvalTeaftv1c2tCpZqO2\\u002fFPnWRxep7b8IdcFwsantv0dXdRAmqu2\\u002fJTmkN3Sq7b+de6OZm6rtv9XkJ4acqu2\\u002fHXsM4Heq7b\\u002fa7HcRL6rtv6w6wf3Dqe2\\u002fegR\\u002f8Tip7b8FlTSRkKjtv8lrFMfNp+2\\u002fKoNRsPOm7b9F73aKBabtv5bIOKEGpe2\\u002fitIpPfqj7b8qM7eT46Ltv40qv7jFoe2\\u002fe2kJkqOg7b9g19fMf5\\u002ftv4m6tdVcnu2\\u002fHsaZ0jyd7b\\u002fXCl6fIZztvwKif8wMm+2\\u002fdqEHoP+Z7b+B528Y+5jtv9f9SPH\\u002fl+2\\u002f9gxbqQ6X7b+c5fKJJ5btv6C\\u002fBa9Kle2\\u002fBZrSD3iU7b\\u002fMOqeHr5Ptv86lcN7wku2\\u002fzWzD0DuS7b9mTg8XkJHtvykAu2vtkO2\\u002f4Gnwj1OQ7b8jsu5Owo\\u002ftv8TexX85j+2\\u002f\\u002fwdvBbmO7b\\u002fFwkPNQI7tv8b45svQje2\\u002fWXDA+GiN7b\\u002fTVTpICY3tvx28\\u002fKSxjO2\\u002fk+Jt6GGM7b\\u002fvwMbSGYztvzOeEQPZi+2\\u002fmRds756L7b+m0ebdaovtv1IHW947i+2\\u002fp0yJxRCL7b82O80p6Irtv12Lp2HAiu2\\u002fxpRThJeK7b+Joo5sa4rtvz5Wp705iu2\\u002fGu3Z6v+J7b+CE+xAu4ntv\\u002fKP6PFoie2\\u002fk+3IIgaJ7b\\u002fI+cn6j4jtv37dF7QDiO2\\u002f61ZwrV6H7b+yi018nobtvzx8Iv\\u002fAhe2\\u002flaArb8SE7b\\u002fo7FJxp4Ptv1SQpiVpgu2\\u002fvFHlNAmB7b8mearbh3\\u002ftv6qkzfLlfe2\\u002fTpKY9CR87b+phYX+Rnrtv5MrTM9OeO2\\u002fxEkYwT927b\\u002fsp9y\\u002fHXTtvzrpzDvtce2\\u002fFeshGLNv7b\\u002fiEmWWdG3tvwgilz43a+2\\u002fmQ2exABp7b9GW3rr1mbtv3UU12a\\u002fZO2\\u002fEPeWu79i7b\\u002f5rw0g3WDtvzU+nFwcX+2\\u002fns5rrYFd7b9xOwKmEFztv13EZhfMWu2\\u002fkYuE+bVZ7b+jA2tYz1jtvwT5+kUYWO2\\u002fl4550I9X7b9Dymn+M1ftv6ys8c8BV+2\\u002f69fxRfVW7b+oJtduCVftv4\\u002fyDHk4V+2\\u002frOrVyntX7b8++TAfzFftv8eaUKchWO2\\u002f9OkNMHRY7b9aOKZKu1jtv2H++nfuWO2\\u002fndB4VQVZ7b80Y7vK91jtvzze+ja+WO2\\u002f9C9KnVFY7b9k1q7Oq1ftvyvdIJHHVu2\\u002fs3qNwqBV7b9YqAd3NFTtv1T3ZxGBUu2\\u002fFVy3VYZQ7b\\u002fhLN90RU7tv6CHOhHBS+2\\u002fOAfKO\\u002f1I7b9SZPFp\\u002f0Xtv1h6zmPOQu2\\u002ftlhhK3I\\u002f7b80quTc8zvtv4Py24hdOO2\\u002fjxSBCLo07b+QdVvNFDHtv+0h6Kx5Le2\\u002fkO5SqfQp7b8NGFS4kSbtvz\\u002fgU4lcI+2\\u002fjsb9S2Ag7b+N9m54px3tvyVPJ5o7G+2\\u002fH\\u002f7ZHiUZ7b\\u002fOQCoqaxftv2y5Sm8TFu2\\u002fWFxaESIV7b9ByzmLmRTtv7Grb596FO2\\u002fTd2KUMQU7b9zO0ficxXtv92ojeOEFu2\\u002fHW47QfEX7b+DXnBhsRntv5mx90a8G+2\\u002fTe41vAce7b9wiN+EiCDtv1yzmJUyI+2\\u002fuimAUPkl7b9H5IzFzyjtvxB3kvWoK+2\\u002fKXixFngu7b+LM\\u002fHYMDHtv60wvqnHM+2\\u002ftbAN9TE27b+wNfFiZjjtv18UdhBdOu2\\u002f4qvDwg887b+hpIYTej3tv0v015WZPu2\\u002fXKXy8m0\\u002f7b9uxzL++D\\u002ftvxOlAcA+QO2\\u002fDYp+d0VA7b+2J9+SFUDtv6cYrp65P+2\\u002fkEw4LD4\\u002f7b93aKKvsT7tv+GhRFYkPu2\\u002fhpEN1qc97b\\u002fvTso2Tz3tv+1MS5YuPe2\\u002f93tx6Fo97b\\u002fK2D206T3tv5KRBs\\u002fwPu2\\u002fNj74FoZA7b9AVgcuv0LtvwtAbjaxRe2\\u002f1lHHkXBJ7b+4RsCjEE7tv\\u002fl2TpmjU+2\\u002fqSYxNTpa7b89EnKi42Htv1y2dE2tau2\\u002f9FwDxKJ07b++dqaczX\\u002ftv3j0b2U1jO2\\u002f8uRBmt+Z7b+PRnaiz6jtv0JhrtUGue2\\u002fQbdyh4TK7b8ALzIZRt3tv7PyFxJH8e2\\u002f3gEcPIEG7r8E1KLF7Bzuv4ne9GaANO6\\u002fqV\\u002fPijFN7r8AeEx59Gbuv1E5YYS8ge6\\u002fp640NXyd7r+Ltpp5Jbruv4p0CNGp1+6\\u002fl75lePr17r9wvy6UCBXvv5WZaljFNO+\\u002f15wOLiJV779LGnnVEHbvv42JwoWDl++\\u002faAu3CG25779h6lzTwNvvv1cg\\u002fhpz\\u002fu+\\u002fOmJdc7wQ8L9AJdwOZCLwv6y3BskrNPC\\u002fOjNKhA9G8L9BIeqeC1jwv4PRG\\u002fQcavC\\u002fzb3k20B88L+ztdgpdY7wv0fj0yq4oPC\\u002fiTLLoQiz8L+1ZMvDZcXwvxdKPDPP1\\u002fC\\u002fY2l6+kTq8L\\u002f79NWFx\\u002fzwvy5\\u002fAp1XD\\u002fG\\u002f2Zb\\u002fW\\u002fYh8b80fn8rpTTxv1OtzrhlR\\u002fG\\u002fk+s87Tla8b9KlwflI23xvxlKxOUlgPG\\u002fVHJLVEKT8b93wCOqe6bxv4ZicWrUufG\\u002fje5uFk\\u002fN8b9ne3kh7uDxv0ahveSz9PG\\u002fUdGXkqII8r9lfL8pvBzyv6izWWgCMfK\\u002fnBcVv3ZF8r8h33VEGlryv9lKfajtbvK\\u002fSczbKPGD8r9XVOCFJJnyv8Z5WfiGrvK\\u002fjE+eKBfE8r\\u002fDt\\u002fQm09nyv6yriWW47\\u002fK\\u002fdEMttMMF87+uPgA+8Rvzvw5pO4k8MvO\\u002flIYyeaBI879riqxSF1\\u002fzvzDfocKadfO\\u002flptn5yOM87861UNcq6LzvxETXEcpufO\\u002f+GPjaZXP87\\u002fcFmIy5+Xzv1zA5dAV\\u002fPO\\u002frWPdTBgS9L9oeluc5Sf0v9R6brx0PfS\\u002fUJg4yrxS9L94BmkctWf0vycztFxVfPS\\u002f7l3loJWQ9L\\u002fFySKDbqT0vwiU\\u002fjjZt\\u002fS\\u002fywnxqM\\u002fK9L+XH959TN30v3hpTjhL7\\u002fS\\u002ff38MPcgA9b\\u002fw+eHgwBH1v\\u002fTvOnEzIvW\\u002fcuyDOR8y9b9LXySFhEH1vwNkBp5kUPW\\u002fdwGsx8Fe9b+odeE2n2z1v0VmKwYBevW\\u002fjZceJ+yG9b9dytxQZpP1v11K\\u002f+t1n\\u002fW\\u002f2EJD\\u002fCGr9b9K5FUIcrb1v2OIJgBuwfW\\u002fcSsrIh7M9b9Kngfgitb1v5avCcO84PW\\u002fYSzsULzq9b+rAlDxkfT1v\\u002f4UVtRF\\u002fvW\\u002fOIe92t8H9r84o+F\\u002fZxH2v+wY6MXjGva\\u002f4ItkJFsk9r\\u002fAW6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X9SaPRv9gqsa\\u002fnh9G\\u002fp7sCHJ1s0b8boiHQaVHRvxmaYaZNNtG\\u002fGzON2Ugb0b9VjxkVXADRvyMKDoGI5dC\\u002f\\u002f59zyc\\u002fK0L99\\u002fTkhNLDQv40\\u002fmkC4ldC\\u002fdA8ZX1970L9tU2IpLWHQvzebT7MlR9C\\u002fVD5\\u002fZk0t0L+VYfTtqBPQv8TGjj569M+\\u002f13D0wx3Cz78gmhkrRpDPvyrT5O38Xs+\\u002fjpcUDEsuz7+JY3bXOP7Ov90Ql8LNzs6\\u002fLxANMxCgzr9zBGRYBXLOvyywkgixRM6\\u002f3MDAohUYzr\\u002ftxfr4M+zNvw1xSEELwc2\\u002feSltDpmWzb\\u002fMCm5Q2WzNv3umy1zGQ82\\u002f0Vgy\\u002flgbzb8bqzqLiPPMv1QIrQNLzMy\\u002f0MOZM5WlzL+J13jbWn\\u002fMv5tpbNyOWcy\\u002fHouuZyM0zL94FSYwCg\\u002fMv3IyGJ006su\\u002fUgTs\\u002fJPFy79e6Pu2GaHLvwqse3u3fMu\\u002fRlyMcF9Yy7+pkKxbBDTLv8eTzsaZD8u\\u002fydx7IBTryr8eH47WaMbKv1TyKGuOocq\\u002fbd3Cg3x8yr\\u002fiezDyK1fKv+Otx7eWMcq\\u002fT2\\u002fSArgLyr+MSagmjOXJv2Gj4Y4Qv8m\\u002fsNwwrkOYyb9nooHpJHHJvz\\u002fXDoC0Scm\\u002fYIYqcfMhyb9ybnlg4\\u002fnIv+PIZHmG0ci\\u002fhx2BUt+oyL\\u002f8aqDR8H\\u002fIv6kLORG+Vsi\\u002fdfW5R0otyL+7wVCxmAPIvwv5jnys2ce\\u002fqQlDuoivx78U1r5QMIXHv\\u002fKcqvKlWse\\u002fXOBnGewvx7+ole0CBQXHv0\\u002f97bLy2ca\\u002fv6z\\u002f9rauxr8PH29tU4PGv\\u002fgKTY7JV8a\\u002fVC5Athosxr+0eJcySADGv2u+E05T1MW\\u002fwWreXT2oxb9pAyXOB3zFv2yS1y20T8W\\u002fcvcROUQjxb+2Y8XhufbEvwxuR1YXysS\\u002fzcB+BV+dxL\\u002fD2Xmgk3DEv9oKUhm4Q8S\\u002fe01Tn88WxL9233eY3enDvyFsXJjlvMO\\u002f8RjmVOuPw79un+aY8mLDvwYkGzX\\u002fNcO\\u002f20bw7xQJw789oIB0N9zCv1YuSkFqr8K\\u002fXPkal7CCwr8mUbVoDVbCv+t1qEuDKcK\\u002fSGrTahT9wb\\u002f6Of16wtDBv9yF4LGOpMG\\u002fwfn3v3l4wb8H6EbNg0zBv3shRXmsIMG\\u002fKsf\\u002f3fL0wL\\u002f53GqWVcnAv2xnycfSncC\\u002fKm78LWhywL\\u002fq8nQqE0fAv\\u002fVNctXQG8C\\u002f8OFLIjzhv78Qfo8874q\\u002fv9qpNmO0NL+\\u002fWB++E4Xevr88JTMLW4i+v2MwdHAwMr6\\u002fBBEG\\u002fP\\u002fbvb+2E3ocxYW9v027dRZ8L72\\u002fGD6HHyLZvL9\\u002fChJztYK8vzuAw2A1LLy\\u002fBc8oVKLVu78vfCrV\\u002fX67v1ZeX4FKKLu\\u002fzbZW\\u002fovRur8jTSblxnq6v+HytKcAJLq\\u002f83BicD\\u002fNub\\u002f2oNL8iXa5v4FawXTnH7m\\u002fHSTfPV\\u002fJuL84jsrN+HK4vzRIR3u7HLi\\u002fMALaT67Gt79d4+7a13C3v0rOpwc+G7e\\u002fswpg9uXFtr8RoNza03C2v5lCBOAKHLa\\u002fxtzXEY3Htb+fWD5OW3O1v0tEDD11H7W\\u002fplCDT9nLtL\\u002frkVfHhHi0v\\u002fH6GcVzJbS\\u002fJOW5XaHSs799wKO2B4Czv3dB2iegLbO\\u002f+5xCY2Pbsr+NbjygSYmyv5+Ug8pKN7K\\u002fXzJGs17lsb+Ko0tDfZOxvxrCAq2eQbG\\u002fSpFOnbvvsL+PIvBpzZ2wv54gezzOS7C\\u002fuNmucXLzr79IUNo8FU+vvwQtccZ\\u002fqq6\\u002ftZFPkK8Frr\\u002fc2pfMpGCtv\\u002f0jJWliu6y\\u002f5QnOC+4VrL\\u002f4bZD\\u002fT3Crv\\u002fMYFhOTyqq\\u002fsaZVacQkqr8ORmE9836pv\\u002f+3u5ow2ai\\u002f0\\u002fHJC48zqL8FgitAIo6nv5U97Kz+6Ka\\u002fpOedKDlEpr\\u002frJniF5p+lvzPFnysb\\u002fKS\\u002f6E+stepYpL84BG2RZ7ajv9JNzKaiFKO\\u002frCGFBqtzor+NTSiijdOhv\\u002f0Hsw5VNKG\\u002fiEa1UgmWoL9Dvn6BX\\u002fGfv0dQCr2VuJ6\\u002f6fK1sbSBnb8zGdEItkycv\\u002fjpUNWNGZu\\u002fVhIVxSromb9D\\u002fapndriYv6IVY4hVipe\\u002fa084mahdlr\\u002fFx8krTDKVv+wdenUZCJS\\u002fOpOw2+bekr81AzWFiLaRv0TlsO3QjpC\\u002fqsoG8SLPjr8aXJcANoGMv6Z+ocF8M4q\\u002fecd98pnlh7\\u002f5+RpKMpeFv92nglTtR4O\\u002fl1RJOHb3gL9o+8\\u002fH+Ep9v8N+hUVoo3i\\u002f0Ha2NK73c79ypVzDko5uvwLmX3qJI2W\\u002fHfXUaN9aV7\\u002f7mX+2dFwxv7TMQNDYik0\\u002fgkSoIOD9YD\\u002fUYPqDVaZqP7GyD7QwLnI\\u002fE5HGtBkQdz+amUbK7\\u002fh7P2unDI9XdIA\\u002fCm2R8aLvgj\\u002fWX4AaSm6FP1IZgfg18Ic\\u002fBb8ZRUh1ij+SC5xtW\\u002f2MPwPj7nxCiI8\\u002fh\\u002f1YhOQKkT8wNlaS2VKSPyxg6K\\u002fem5M\\u002finYuZ87llD+Fs1uSfzCWP37UUHPFe5c\\u002fTZgV12\\u002fHmD\\u002f4xr5GSxOaP24fEkchX5s\\u002fFavtp7iqnD\\u002fq+Rzk1fWdP1\\u002ft3pE7QJ8\\u002flSv2cdVEoD8NDisd8uigP6v9CeFTjKE\\u002fzpPPENsuoj+UpDyYaNCiP1OMhlvecKM\\u002fGoj2mR8QpD8qP41REa6kPxo526GaSqU\\u002fmOIkLKXlpT\\u002fx99luHX+mP2vAZRrzFqc\\u002f+QBoXRmtpz81Nn4mh0GoPyts6Vk31Kg\\u002fbYCO+ShlqT+c6gs+X\\u002fSpP0kx6J\\u002fhgao\\u002fqoEt0LsNqz+Aoh+g\\u002fZerP6K6F9i6IKw\\u002fKM\\u002fy\\u002fQqorD+LJeILCS6tPwI9zRjTsq0\\u002fuWfR84k2rj8CpcC0ULmuP+OyzUNMO68\\u002fO1bU2qK8rz8uH3DBvR6wP\\u002fmVXMj+XrA\\u002feEWnESifsD+tOm\\u002fTTN+wP6bI0a9\\u002fH7E\\u002fEglZf9JfsT9KYrshVqCxP\\u002f4MAlYa4bE\\u002ftfIAmy0isj+zRtcYnWOyP4309pN0pbI\\u002fca\\u002fyab7nsj9PZRCYgyqzPzO2WcvLbbM\\u002frmKfeZ2xsz8FJaEC\\u002fvWzP+TTStjxOrQ\\u002fQqu7rHyAtD+E25akoca0P3SI7otjDbU\\u002f55\\u002f1C8VUtT\\u002f9l4rfyJy1P+1CngRy5bU\\u002fxjN36MMutj\\u002fqPdyMwni2P9aUR6Ryw7Y\\u002fU+Zno9kOtz8hJWXG\\u002fVq3PyXRmgjmp7c\\u002fjHnADZr1tz+IqMn7IUS4P8DbHkWGk7g\\u002fheEvY8\\u002fjuD826cKBBTW5P8W9yBswh7k\\u002fnbPjilXauT+9iDGLei66P9KCRrWhg7o\\u002ftTCf8MrZuj8AJxzh8jC7PxHhXVISibs\\u002fQaoMpB3iuz9Kkj86BDy8PzSMTPWvlrw\\u002fJOtRtATyvD9w0L3l3029P6F2+igYqr0\\u002fop42BH0Gvj\\u002fdPgCx1mK+Pyi3FQLmvr4\\u002fSHdwZGQavz9eyhz9A3W\\u002fP5w49+Rvzr8\\u002f5nRxQSYTwD8mBUACHD7AP6oWbHrlZ8A\\u002fld3xd0yQwD\\u002fl1Zy4GLfAPxqF1l0Q3MA\\u002fOnyKa\\u002fj+wD+7gH9QlR\\u002fBP7maTXarPcE\\u002fzCXo1v9YwT\\u002faD4uVWHHBP5ojvJh9hsE\\u002fZ1v9IjmYwT\\u002fZZMRnWKbBPycPThqssME\\u002fHofy8wi3wT+H67gvSLnBPymlDflHt8E\\u002fzXeuy+uwwT\\u002fSvxjDHKbBPy7ECNjJlsE\\u002fzU7jCuiCwT\\u002fkjDN6cmrBP7wUvWRqTcE\\u002fXUX7FtcrwT8xXELExQXBP8\\u002fcEUxJ28A\\u002fFIOB7HmswD\\u002fJNgjjdHnAP\\u002fus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d2b98\\u002f2gecQVqu3z8EzFOr\\u002fevfP1Lywc4gFOA\\u002f838sV4Qx4D+8TebYG07gP3hDG+baaeA\\u002fm6OdO7aE4D85+KK8o57gPy34AGiat+A\\u002fx5hGR5LP4D\\u002fs0i1YhObgP\\u002f+sAHFq\\u002fOA\\u002f2EKnID8R4T9IPiyL\\u002fSThP1AAmUOhN+E\\u002fVjIaJCZJ4T8nQmgliFnhP1MrdTbDaOE\\u002fgb1hFdN24T9jOrgqs4PhP0O64Gdej+E\\u002foWa1Kc+Z4T9UhAkg\\u002f6LhPzrO3jrnquE\\u002fwTDpnX+x4T9NDeKav7bhPyBbCrOduuE\\u002fSuIWoA+94T8rGZxkCr7hPyCU6GOCveE\\u002f4DMWgWu74T8cEPREubfhP2A8RgpfsuE\\u002f9au1L1Cr4T+ZVKpOgKLhP7zgLHbjl+E\\u002fpVvUaG6L4T\\u002fow6\\u002fcFn3hP+vHC7zTbOE\\u002fzW\\u002fqZZ1a4T8eXv3sbUbhP1m+81NBMOE\\u002f1vXyxRUY4T\\u002f5phzK6\\u002f3gP21hFXHG4eA\\u002fRi6Ve6vD4D+HpSV5o6PgP2jsT965geA\\u002f01ifEf1d4D9x4AJvfjjgPxZIP0FSEeA\\u002fgQWbYh\\u002fR3z9xMVZXoXzfP3AHmndjJd8\\u002fidEevKPL3j8HdEqRpG\\u002feP+2wYlisEd4\\u002fDyqt2QSy3T9toFip+lDdP5W1Q4Hc7tw\\u002f4EPlkfqL3D+gZcDMpSjcP3jR6Sovxds\\u002fBts08uZh2z8Q46P7G\\u002f\\u002faP5VKsv0ando\\u002fZDT93C082j9q5rQFm9zZPxz7GtCkftk\\u002faoci8ogi2T+5yA8AgMjYP7fktf28cNg\\u002f9u6rAW0b2D\\u002fVDYjrtsjXP3SV4S27eNc\\u002fQK2KrJMr1z8dBCGvU+HWP9inxOcHmtY\\u002fQq51jbZV1j9yXU6JXxTWP+soibX81dU\\u002f8lgBLYKa1T9VkaOp3mHVP8iXEfD7K9U\\u002fqmuTRr\\u002f41D\\u002fejk\\u002f1CcjUPxCvrc25mdQ\\u002fuOS5tqlt1D\\u002f9g1s8skPUPwvYOB+qG9Q\\u002fWcEw42b10z+ykGtavdDTPxb1JCuCrdM\\u002fQp14ToqL0z8fXKmGq2rTP2Qsjsu8StM\\u002fWEEIrJYr0z9aQaCjEw3TP9OfpWMQ79I\\u002fy55oD2zR0j+3mmRrCLTSP4\\u002fAa\\u002f\\u002fJltI\\u002fExkeLJh50j9q6So0XVzSPwniCzoGP9I\\u002fN6YUM4Mh0j9oN9bQxgPSP+Q59GHG5dE\\u002ff32hq3nH0T+Jewm92qjRP8eB9b3lidE\\u002fux7+uZhq0T9uUJRp80rRP1JSIvr2KtE\\u002f3S9y1qUK0T9UFHFwA+rQP01hSg0UydA\\u002ftK+1lNyn0D883C9kYobQPyUEsiarZNA\\u002fb85SsbxC0D9LcRflnCDQPxf2Jiyj\\u002fM8\\u002fmrui78C3zz8Sx7UdnnLPP56CMU5FLc8\\u002fN0NIncDnzj\\u002fvdBmpGaLOPy2ZBJZZXM4\\u002fDR2DGIkWzj\\u002fAdTWDsNDNP5KextfXis0\\u002fYOZJ2QZFzT8rnsEeRf\\u002fMPyUZkSSaucw\\u002fkcC4Ww10zD8By941pi7MPwVKUS1s6cs\\u002fUHddyGakyz8RFYuXnV\\u002fLP7Dhfy4YG8s\\u002fXxeFF97Wyj8\\u002fPN7B9pLKP763U2tpT8o\\u002fal2DBT0Myj9bILQXeMnJPypQD54gh8k\\u002fHh9A5ztFyT8Z\\u002fJBxzgPJP23nrMjbwsg\\u002ff\\u002fowZWaCyD\\u002fFtTePb0LIP3Rb\\u002fET3Asg\\u002fT\\u002fSgJvzDxz\\u002fRDQZoe4XHP\\u002f6AgMlwR8c\\u002fnnsQmNYJxz8KoI61pczGP5KDEanVj8Y\\u002fsGOYt1xTxj8W7tAEMBfGP6fRlrtD28U\\u002fVeKVPYufxT8pSURZ+WPFP8vSOoWAKMU\\u002f6i7HHxPtxD8c9m+xo7HEP9mJBTEldsQ\\u002fYyzGR4s6xD8ToA+Uyv7DPwKjFenYwsM\\u002fo+saiq2Gwz9v4LlfQUrDP3rk4iWPDcM\\u002feE9XkZPQwj9JVZFrTZPCP7htOaS9VcI\\u002fODKAV+cXwj8A++7Iz9nBPxx\\u002fgFJ+m8E\\u002f8vQTSPxcwT+0Oo\\u002fPVB7BP\\u002fnnRa6U38A\\u002fI1t6DMqgwD\\u002fcZgkwBGLAP53Why9TI8A\\u002fdZWSPo\\u002fJvz94h+Fz5Ey\\u002fP7E2lwzH0L4\\u002f7JWd+FZVvj+BOTdWstq9P6ml58P0YL0\\u002fWYT7uzbovD9Gt039jHC8P43crQQI+rs\\u002f5x4BmrOEuz+ygNhzlhC7P3IJyvOxnbo\\u002f9pJe\\u002fQEsuj8v4N7ofLu5Pyr+upITTLk\\u002fQqaxh7HduD8clUVNPXC4P5nBd8WYA7g\\u002fd0cqrKGXtz8v3QMsMiy3P07MKYghwbY\\u002fLHax10RWtj+QAUXPb+u1P\\u002fYfI5V1gLU\\u002fX81hmykVtT+l+TB8YKm0PyU4xdPwPLQ\\u002fbHKUE7TPsz+xP6dKh2GzP6OL8N5L8rI\\u002fsMDhM+iBsj9LYco6SBCyPw8f\\u002feldnbE\\u002fROQvmCEpsT+SbRU6krOwP58ww4C1PLA\\u002f+bQksC+Jrz9G6ZaJmJauP8LfHEbYoa0\\u002fdCgSjC2rrD+MsVH14bKrP0p3D99Iuao\\u002f+6e1Cb6+qT+WfEQPpMOoP+ZohLdiyKc\\u002f6f8EMmXNpj\\u002fmgWQ+GNOlPx3vsUvo2aQ\\u002fzADklz\\u002fioz863VlYhOyiP+L6JvQW+aE\\u002fBrGLWFAIoT8Ci3FvgBqgPwdDIX7ZX54\\u002fE8Abcp6RnD+Vidt8qsqaP8AkUrk9C5k\\u002fYo0djnxTlz89SN0cb6OVP48AoC8B+5M\\u002fvd1\\u002fowJakj9OSx1NKMCQPwD\\u002fsaIaWo4\\u002fhxkF1WlAiz8j+WcgGTKIP0a8nezcLYU\\u002fXksZrEgygj9ULGrLqXt+P1R+Ny\\u002fLnXg\\u002fiJWUp6HHcj8ZQTDYletpP+\\u002fpkZuOk1w\\u002fSekYgkgZNT9jl2m2hB1Sv4vDJq8v0mS\\u002fQm50lnpWcL+wIrWPO1J2vxW0oXLLXny\\u002fu6ewLyk\\u002fgb\\u002f4mzgjVVmEv8RVbmetfoe\\u002fkGGYZMuvir+n0XuWHe2Nv9E2peVzm5C\\u002fTGf2DKJGkr9Csq5BEviTv+5Q2Jeqr5W\\u002f84Vdmj9tl78DZwrplTCZv1vdRgZk+Zq\\u002fL4UBSVTHnL8bl\\u002frmBpqev2DwzQWKOKC\\u002fySnn9wYmob8ZzeFzQRWiv33VNq7\\u002fBaO\\u002fxJys0wf4o786ZWXkIOukv7FOqHgT36W\\u002f4hu2bKrTpr8Eqr1xs8inv8V+y4L\\u002fvai\\u002fEDlXPWOzqb9B4tMdt6iqv3U8YKHXnau\\u002f5KZdTqWSrL8D6kqmBIetv4+nwAPeeq6\\u002f6EDUZx1ur7\\u002f5yDgdWTCwv0optYBHqbC\\u002fdkcFidQhsb\\u002fmP3og\\u002fJmxvyn87Um7EbK\\u002fihs6\\u002fA+Jsr9qRMIB+f+yvz3pUd11drO\\u002fdyxKtYbss78BCNJFLGK0vwtpa9pn17S\\u002fV+79TjtMtb8H1BUYqcC1v\\u002f\\u002fKxVG0NLa\\u002fF2NP1GCotr8UmHFNsxu3v30QAl2xjre\\u002fCo9Fs2EBuL\\u002fijFgvzHO4vyss4\\u002fv55bi\\u002fKopMqPVXub86bak8y8m5v2NquUaIO7q\\u002f041r3jutur8ZjJeg9h67v\\u002fZa2Z7KkLu\\u002fEzjJQ8sCvL\\u002fNuR8rDXW8v\\u002fFRsu2l57y\\u002fBUCW4atavb8YrBvPNc69v5PBtZtaQr6\\u002f7VZE7DC3vr9VLo3Aziy\\u002fv3VuAwpJo7+\\u002flokgoFkNwL\\u002fFt+Z6j0nAv9a1+bdNhsC\\u002fvCJAoprDwL8bgiMAewHBvwhYmuzxP8G\\u002f4bJOtwB\\u002fwb9AXBnNpr7Bv7iS5Knh\\u002fsG\\u002fKvDa1Kw\\u002fwr9fy5DnAYHCv04OmaDYwsK\\u002fkGezAScFw78YaHp54UfDv9wgLhj7isO\\u002fcvDszmXOw79vNGK4EhLEvxJdq2nyVcS\\u002fEk7xSfWZxL860vfuC97Ev+jpsHwnIsW\\u002fuHi3BTpmxb8Os3XqNqrFv43WqDQT7sW\\u002fnyDu7MUxxr9ePw1oSHXGv53+yomWuMa\\u002fWLkz+677xr\\u002fj0H9Skz7Hvypz9CpI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omI3on3sv53gi1WYfOy\\u002fnthEr5l77L9befoAqXrsv79+ZsHIeey\\u002fmkraHPt47L\\u002f\\u002ffuDxQXjsv4gaKc+ed+y\\u002fs6qt8hJ37L8x0vVJn3bsv\\u002fz4X3NEduy\\u002fv5ROwAJ27L9jHBg42nXsv6ttlpvKdey\\u002fUSwyadN17L8pZEfh83Xsv3dswgorduy\\u002fxZbWt3d27L9UgbOK2Hbsv5bMIfpLd+y\\u002f6lb0VdB37L8H1T\\u002fLY3jsv5d9T2gEeey\\u002fa11SILB57L9KpcHOZHrsv+KuhDoge+y\\u002fCXbbGOB77L+5sRsQonzsv8p+T7pjfey\\u002fOpPGpyJ+7L9LKKxh3H7sv6kltGyOf+y\\u002fSJnxSzaA7L9ML+eD0YDsv6s04J1dgey\\u002f3cmdK9iB7L\\u002ffWGDLPoLsv9xDUSyPguy\\u002fZzNME8eC7L9YkQJg5ILsv369bhLlguy\\u002fgIuHUMeC7L8yxR9siYLsv+Pq2Ogpguy\\u002f72IMgqeB7L\\u002f33IowAYHsv1gADzA2gOy\\u002f6ac+BEZ\\u002f7L9tChV9MH7svzhOkLr1fOy\\u002f9DF+L5Z77L9xsUWjEnrsv8rXjjJseOy\\u002f9D2uTqR27L989L67vHTsv\\u002f6wW423cuy\\u002fCe3uIZdw7L94EZkcXm7svxKks10PbOy\\u002f64oA+q1p7L+9p5wwPWfsvzEc1V\\u002fAZOy\\u002fo0MG+Tpi7L\\u002fiprJzsF\\u002fsv++uBkAkXey\\u002fhHoDuZla7L9by48WFFjsvztgsV+WVey\\u002fWR8zXSNT7L9DHP2MvVDsv8iyYhZnTuy\\u002fpZ6ovyFM7L+2JAHl7knsv1kZN3HPR+y\\u002fWOA52MNF7L+Rh7QTzEPsvxz60KHnQey\\u002f2CU+hhVA7L\\u002ff+oRNVD7sv5WgrBKiPOy\\u002fC1Mih\\u002fw67L8iUs38YDnsvx5lK3LMN+y\\u002f2u9GoDs27L+Tt0wKqzTsv4R3fQ4XM+y\\u002fHIgu+Hsx7L\\u002fEU4US1i\\u002fsv3dUk7shLuy\\u002fiwZ0d1ss7L8ewgsDgCrsvxDdBWaMKOy\\u002f4uOxA34m7L\\u002f4ImOqUiTsv8kf+6AIIuy\\u002f8e9Osp4f7L8ReiA2FB3sv3JxbxdpGuy\\u002fKB\\u002fy150X7L+jjZOQsxTsv08y4+6rEey\\u002fs3RxL4kO7L80KCQVTgvsv1\\u002flnd39B+y\\u002fwNriMpwE7L+E1XQaLQHsvyeZLuK0\\u002feu\\u002fPtUzCzj667+o1FYzu\\u002fbrv3geX\\u002f1C8+u\\u002fq3Sk+NPv67+9rXeIcuzrv+qw1ssi6eu\\u002fijrqhejl67\\u002f68soHx+Lrvx3BBxzB3+u\\u002f0SJh9Njc67\\u002ffyyQaENrrv7D0iWFn1+u\\u002fDclh4N7U67\\u002fxg2DoddLrvyY5MwUr0Ou\\u002fA2GE\\u002fvvN679YRf7d5cvrv3bFRvnkyeu\\u002fTO3b\\u002f\\u002fTH679w8KQMEcbrv5eg97ozxOu\\u002f19W\\u002fPlfC67+D0WR\\u002fdcDrv2LK+DSIvuu\\u002ft94wB4m8679Y6petcbrrv\\u002fd7ZRA8uOu\\u002fsJJbaeK167+DGQpkX7Prv7ph1jyusOu\\u002ftDYn3sqt679vjxv7sarrvx1SOidhp+u\\u002fe\\u002fSU6taj679t2uTREqDrv6bvO3oVnOu\\u002fndfzl+CX678Q25v4dpPrv8QcvH\\u002fcjuu\\u002fYC9cHhaK678tfFPFKYXrv3WRglIegOu\\u002f3vYseft667\\u002fzFsOlyXXrv8Czgt2RcOu\\u002ffcppml1r67\\u002foUQukNmbrv3yA5uUmYeu\\u002fYObvQzhc678EWAdudFfrv\\u002fckHrPkUuu\\u002f9jPW1JFO67+EMWTcg0rrv6H6fPHBRuu\\u002fV8sQNFJD678eio2ZOUDrvxrqVM57Peu\\u002fFUEDHBs7679uEBFVGDnrv72xQ8ZyN+u\\u002fQLBJLig26783hcW7NDXrv4kX7hGTNOu\\u002f0AfQUzw067\\u002fC8B02KDTrv9zhYBdNNOu\\u002fQ\\u002fQ9HqA067+Xd2pdFTXrv29RzvyfNeu\\u002ffz88ZzI267\\u002fQKhJ8vjbrvzEIAcQ1N+u\\u002fszYsqIk3679DOMSqqzfrvyc5OKCNN+u\\u002fZFMV6CE367\\u002fk5amkWzbrv7DDhvAuNeu\\u002fOV7\\u002fEJEz678IRdWkeDHrvxY2Ss7dLuu\\u002f3kbmV7or678DFlXTCSjrv0cd1bHJI+u\\u002fcrfOVfke67+zy0Qdmhnrv1zN7mSvE+u\\u002fLF7qgz4N67+f0xHATgbrv+OfIzvp\\u002fuq\\u002f16EE2Rj36r9yH4Qf6u7qv4wrIxBr5uq\\u002fNPt5\\u002fKrd6r\\u002fAyutVutTqv1AEbXmqy+q\\u002fMBEveI3C6r8ZVRHedbnqvwcXv3Z2sOq\\u002fRWtmEqKn6r+qf\\u002fRKC5\\u002fqv7\\u002f4v0rEluq\\u002fVHKCld6O6r8113bUaofqv\\u002fZbY6Z4gOq\\u002fRb5DdBZ66r\\u002f6VjNLUXTqv+jxHrw0b+q\\u002faK2swcpq6r8\\u002f0aysG2fqvwQaShcuZOq\\u002fC+QS3wZi6r+MdNclqWDqv4DdPFkWYOq\\u002fvB7IQE5g6r9NtAoST2Hqv98lgYoVY+q\\u002f2dKdDp1l6r8rfmbN32jqvxlV+ufWbOq\\u002f+pdInHpx6r8k3DVywnbqv\\u002fw1Z2qlfOq\\u002f1ofnLRqD6r8WuNs9F4rqv3OafiKTkeq\\u002fI8WkmISZ6r8EKRO94qHqv5PSADWlquq\\u002fUWwsU8Sz6r+4mQA5Ob3qv1GoVvP9xuq\\u002fj\\u002ft8kg3R6r\\u002fPjT09ZNvqv0d1uD7\\u002f5eq\\u002fxhr+Dt3w6r\\u002fsRmxW\\u002ffvqv6fs5+tgB+u\\u002fRTsjzgkT67\\u002fhpTMY+x7rv2jczfE4K+u\\u002fttqNe8g3679E+r63r0Trv3shI3D1Ueu\\u002frKFAGaFf679x+cOzum3rv+59haxKfOu\\u002fH+zCu1mL67\\u002fJJxrE8Jrrv2UdzbEYq+u\\u002f+wfPWtq767\\u002fCfhFgPs3rv7zuexBN3+u\\u002fAtLqTQ7y678PY4V0iQXsv3kTqUTFGey\\u002fiQuaz8cu7L8AyhdnlkTsvyL85I81W+y\\u002fQCxC96hy7L++RUxr84rsv6txItYWpOy\\u002fBL2qOxS+7L9qiMK569jsv7Ugn4qc9Oy\\u002frzIcCSUR7b\\u002fHKLG2gi7tv2Xxw0KyTO2\\u002f7iwPk69r7b9zRNPMdYvtvy5QjV7\\u002fq+2\\u002fhtzzCUbN7b+ZTwDuQu\\u002ftvxS805DuEe6\\u002fKAtP6UA17r98UkBoMVnuv+2XEQG3fe6\\u002fQefvMcii7r9ZJ2wLW8juv8tAoTdl7u6\\u002fEZ70ANwU77\\u002fOkI5YtDvvv1l7r9ziYu+\\u002f\\u002fYkM31uK778cIWNrE7Lvv1\\u002fKdE792e+\\u002fdSDPjgYB8L9hnp0fGxXwvxfhAvo1KfC\\u002f+YnNsFA98L8+BiXPZFHwv0RaI99rZfC\\u002f+s4qcV958L8jhfsjOY3wv5s8h63yoPC\\u002fjZJ75IW08L\\u002fNwXTK7Mfwv7WuxJYh2\\u002fC\\u002fs+mzwR7u8L8OfBwQ3wDxv+nsOJ9dE\\u002fG\\u002foRp98JUl8b9LbEr1gzfxv9ucTRokSfG\\u002fABFSUnNa8b8dYVUgb2vxv1iPpaAVfPG\\u002flFTVkGWM8b\\u002fKB1RWXpzxv0DheQMArPG\\u002f97TdWku78b8IqM7QQcrxv57E0orl2PG\\u002fDJASXTnn8b\\u002fmw6HFQPXxv7DjneX\\u002fAvK\\u002fonMkeHsQ8r9R5yvHuB3yv57LU569KvK\\u002fBwfKO5A38r\\u002faH2w\\u002fN0Tyv3MaVJi5UPK\\u002fo4UIcR5d8r9mho4abWnyv8v\\u002fovasdfK\\u002fEC1lYeWB8r8ODcGaHY7yv8K+6q9cmvK\\u002fhVU9Zamm8r\\u002fUq88gCrPyv5pQENaEv\\u002fK\\u002fadi28h7M8r+Yp1RN3djyv7zGyRXE5fK\\u002fTpTbx9by8r94SSMgGADzv1tugROKDfO\\u002fKKo5yS0b879DANCXAynzv\\u002fyxtQQLN\\u002fO\\u002fj9bIxkJF8793eZ7LqFPzv\\u002fvkgz86YvO\\u002fIt4YmPNw879SMVqh0H\\u002fzv0Yx6ozMjvO\\u002fBuFbA+Kd879GlT03C63zvwUKmflBvPO\\u002fyliZz3\\u002fL87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EZkqSatc2L8HujNFpETYv+xpMcmbLNi\\u002fKZi+7IoU2L\\u002f6hMb8a\\u002fzXv4rv2oM65Ne\\u002fIS27SvPL178DTFtRlLPXvz345MAcm9e\\u002fXmdS14yC17\\u002f0UmXN5WnXv+ZO2LcpUde\\u002fRgy\\u002fZFs4179q9Rk2fh\\u002fXv0HNqvqVBte\\u002fCYUaxqbt1r9UaHzJtNTWv1NMMC3Eu9a\\u002fY\\u002f8U7dii1r8qS+a39onWv\\u002fYah9Igcda\\u002fyn7Z\\u002f1lY1r8qIaRtpD\\u002fWv2dB4KYBJ9a\\u002fOEeli3IO1r+JhMBO9\\u002fXVv1mm4XiP3dW\\u002f6Zkf8TnF1b\\u002fPJ3cK9azVv70FxZW+lNW\\u002fll6h95N81b\\u002fkaGtBcmTVv7MawUxWTNW\\u002fy72R2Dw01b\\u002fTWvKmIhzVvza\\u002f2JoEBNW\\u002fgUTl1N\\u002fr1L\\u002f1T2zOsdPUv2Bx\\u002fnF4u9S\\u002f1bbAMDKj1L8oq\\u002f0T3orUv3bxccp7ctS\\u002fm9L0sAta1L+TmjzWjkHUv7iGn\\u002fkGKdS\\u002fM3DThHYQ1L+jfM+A4PfTv6QgE4ZI39O\\u002f9uCzqLLG07+3xK5gI67Tv6CuEm+fldO\\u002fQ0WtwCt907+nOPROzWTTv3oz8P+ITNO\\u002fq2D1hWM00797Afc\\u002fYRzTv5oeQBuGBNO\\u002fKwRTd9Xs0r9WMKQMUtXSv9kC1Nb9vdK\\u002fMjz1Atqm0r+ax1Xi5o\\u002fSv8z0I+IjedK\\u002fOeQsiI9i0r8FKNJ0J0zSv75ANWroNdK\\u002f4GJ4WM4f0r\\u002f6mdVu1AnSvx2aMDH189G\\u002fBw+tkSre0b8xlLsNbsjRvwlC+824stG\\u002fD1k9yAOd0b\\u002fOY+ziR4fRvzJvEBl+cdG\\u002fntomnp9b0b\\u002fTxgUBpkXRv39DCU2LL9G\\u002fUtbSKEoZ0b8YjvLx3QLRv3wo49RC7NC\\u002fWWrY4HXV0L9CJfcWdb7Qvz3lqHQ\\u002fp9C\\u002f4kvZ+NSP0L8IAwikNnjQv2hJN3NmYNC\\u002fKLjbVWdI0L9bXQ0fPTDQv80EVHLsF9C\\u002fMO\\u002f\\u002fWPX+z7+CLiqS283Pvwcsv4mYnM+\\u002faqCu\\u002fDlrz79PWwEpzjnPv6Cb\\u002f4ljCM+\\u002fhP4olAjXzr\\u002fjVWZyy6XOv\\u002fMb0cW5dM6\\u002fJhRYaeBDzr8km206SxPOv8blyucE482\\u002f79wsxxazzb+EWsSyiIPNv\\u002fNa5e5gVM2\\u002fFWNQGKQlzb+H\\u002fD8bVffMv10AMzN1ycy\\u002fmXc88wOczL+qTHRW\\u002f27Mv1fQ+ddjQsy\\u002fGBvTkSwWzL\\u002f8Y9NhU+rLv44clxPRvsu\\u002fX4KPjp2Ty7+mtggHsGjLv5Z2DTH\\u002fPcu\\u002fe0cKdIETy79zJxceLenKv3FM2pX4vsq\\u002fgrkHitqUyr885JcdymrKv0Ga6g+\\u002fQMq\\u002fFgkq4LEWyr9JYGPrm+zJv80X7oR3wsm\\u002fSonfCECYyb83U23o8W3Jv9YERbCKQ8m\\u002fdPwBCQkZyb+8ZQqybO7Ivw0tOXe2w8i\\u002fS+3TIeiYyL8k2GBlBG7Iv277AMkOQ8i\\u002f2Nr+jQsYyL9I80eU\\u002f+zHv7V4iT3wwce\\u002fkpKlT+OWx7\\u002fr1C7X3mvHvxQQjArpQMe\\u002fRlBXLggWx7\\u002fbk3h7QuvGv\\u002fwAaAeewMa\\u002frOTsriCWxr+9OZcD0GvGv2eYGTyxQca\\u002fwuqRJ8kXxr9PzrgjHO7Fv0O32hWuxMW\\u002fWFNrZoKbxb8NvvP+m3LFvxpBD0r9ScW\\u002fJtsgNaghxb8q0GUznvnEv+gjB0Lg0cS\\u002fAgnN7G6qxL+M3RtTSoPEv0\\u002f+6SxyXMS\\u002fcDVoz+U1xL+dYyMxpA\\u002fEv\\u002fy2dO2r6cO\\u002fNNElR\\u002fvDw7\\u002fKAD8qkJ7DvwihBi1oecO\\u002ffSVJkIBUw7\\u002f+wRA\\u002f1i\\u002fDv5BxAc5lC8O\\u002fJ9qZeivnwr84w6IqI8PCv+osHWxIn8K\\u002fd0sCdpZ7wr8XligqCFjCvwKlnRiYNMK\\u002fIte9hEARwr+Wx0hs++3BvwG+pJDCysG\\u002f+dFzgo+nwb8S3IuvW4TBv9UKT3MgYcG\\u002fI49OKdc9wb8v8wtCeRrBvzPtmFkA98C\\u002fTYHBT2bTwL8Tq1lhpa\\u002fAv40vN0K4i8C\\u002ftyhSN5pnwL+q3nswR0PAvyT6E+G7HsC\\u002fXc5Aruvzv7\\u002fzIVkg56m\\u002fv9E9shZpX7+\\u002fABgcsHIUv79qZptBB8m+v3YmcGMsfb6\\u002f93bD9Okwvr+fS3IVSuS9vzdXnhVZl72\\u002fdmjmWiVKvb8t+WE7v\\u002fy8vyV3t844r7y\\u002fAlngtaVhvL+g0GfaGhS8v\\u002ftrJyauxru\\u002fjL62NHZ5u7\\u002f42u7\\u002fiSy7v9nQBokA4Lq\\u002fC2fqf\\u002fCTur+1Hn\\u002fqb0i6v8h0lM2T\\u002fbm\\u002fwAE72W+zub+aRDIaFmq5v+LFBrKWIbm\\u002f5CJal\\u002f\\u002fZuL8EFaVfXJO4v2CekRO2Tbi\\u002fKCbSDhMJuL\\u002f35BrsdsW3v\\u002f\\u002fsnn3igre\\u002fxAEr0lNBt7+AA7BGxgC3v12yxqMywba\\u002f\\u002fb1wRo+Ctr\\u002fSNRlT0ES2v20nmvHnB7a\\u002fGBrYkMbLtb\\u002fqfVcwW5C1vz1KDa6TVbW\\u002fVOeTFl0btb++weD1o+G0v7wSlqZUqLS\\u002fo5oXnltvtL+\\u002fIKCzpTa0v+MXuGAg\\u002frO\\u002fbRqb+bnFs79m+VDcYY2zv9KvfpUIVbO\\u002fyiQ6+p8cs7\\u002fIoXc2G+Syv4Bz989uq7K\\u002fKVfrnZBysr8xMNy1dzmyvyT7pk4cALK\\u002fGByymnfGsb\\u002fbDsCag4yxvy9uAOs6UrG\\u002fspYyjJgXsb8AhNSql9ywv3Gzc2YzobC\\u002fVRFEm2ZlsL9zlCGwKymwvxb0J9b42K+\\u002fhVCinKNer78r6ST\\u002fR+Ouv29HuHbUZq6\\u002f1PIrqzXprb881RGRVmqtv\\u002fQBBaYg6qy\\u002f8EEITHxorL+7CwpEUeWrv6hA10aHYKu\\u002fG4MAuwbaqr9mo3OFuVGqv2Uf0PGLx6m\\u002fzS3Prm07qb92iHnaUq2ov9zaWhk1Hai\\u002fuMpvsxSLp7+K4TKx+famv96N8PL0YKa\\u002fTqNsPCHJpb\\u002f1YuUupC+lv4RloSuvlKS\\u002foIx2GYD4o78DVBcIYlujv+HZb6ytvaK\\u002feFnysckfor+k6WDdKoKhv2JvZP5T5aC\\u002fB1ATrtVJoL9IMNKym2CfvztmLS\\u002fOMp6\\u002fOo\\u002f4ma8Lnb\\u002fkUQs5wuybvwriB1Sb15q\\u002ftH3rYeDNmb9y8e7nQ9GYvzoMlBOC45e\\u002fmx36Gl0Gl7\\u002fkGJ5vmTuWv+rPfdD5hJW\\u002fiwQtSTvklL97rcQrEVuUv2terxMh65O\\u002fwYEx\\u002f\\u002f6Vk7\\u002fbviqNKV2Tv0O08WsGQpO\\u002fkqlYBd9Fk79tXOVy3WmTv2LsFcQJr5O\\u002fznw3n0cWlL89+d9DVKCUv\\u002f0Bk\\u002fTETZW\\u002feY6CywUflr\\u002fBK778WBSXv7ofiIbWLZi\\u002fC3X1Tmxrmb+8s3ys3syav6HorFXJUZy\\u002frgj6sqD5nb+CO2GMs8Ofv0TJ0YWW16C\\u002feJd9hYvdob9Lz79TLvOiv8vj9YbmF6S\\u002fzKUQPA9Lpb+tSc2o+Iumv+6Ffbzp2ae\\u002fYAqJyiE0qb8+gfY52pmqvxOUfTVICqy\\u002fQcjjV56Erb9f4bBQDgivv3cszT7lSbC\\u002fvNGuuoMTsb9xCY7AfuCxvw5J0wB1sLK\\u002fKZ1AXwiDs7+jWV6O3le0v0H\\u002fCZ6hLrW\\u002fe56DfAAHtr8\\u002fM3dpr+C2v4OPnFpou7e\\u002fMGChUeuWuL9dwiWj\\u002fnK5v\\u002fIApS5vT7q\\u002fVOsxhxAsu7\\u002f+TfkMvQi8v2AzhvdV5by\\u002fK27LUMPBvb8OdP3g852+v4aSTwvdeb+\\u002fknHYTb0qwL\\u002frfNhCZ5jAv0FYYUrwBcG\\u002fm70SB19zwb8v0GmivODBv4cC948UTsK\\u002fCXseSnS7wr8XPcAI6yjDvyH5OHKJlsO\\u002fc9FBR2EExL8uSU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oZRZw5dR3D+6XdawsGrcP\\u002fG6akbyf9w\\u002fjZ6d8TOR3D+3vCDVUJ7cP+HmImcop9w\\u002f6A2GB5+r3D9L6UKLnqvcP8JrZboWp9w\\u002feL46vv2d3D\\u002fluYJ9UJDcPyvJuuQSftw\\u002fVazlGFBn3D\\u002fiTYmTGkzcPzFZ+CaMLNw\\u002fts9e6sUI3D\\u002fAxG0N8ODbPwfe6JM5tds\\u002ft2G++deF2z+3obbABlPbP3OnJ+kGHds\\u002ftmR0Vx7k2j9luHEol6jaP3vEFfe+ato\\u002fLwsWFuYq2j+1Xk3AXunZP27r6kJ8ptk\\u002fpMmGJJJi2T99EUZM8x3ZP2ciOCzx2Ng\\u002fTK0I8tqT2D9yWQbB\\u002fE7YP1EPVfieCtg\\u002f5tDthwXH1z\\u002fchc1Wb4TXPw1vabwVQ9c\\u002f\\u002fW0sDywD1z\\u002fseGVJ38TWP3MXr8VViNY\\u002f+GJzE69N1j89kMnjAxXWP8VYgw5m3tU\\u002fqovbruCp1T8Yb9VWeHfVP2krAFgrR9U\\u002fZtn7H\\u002fIY1T88gNCmv+zUP3+q4+yBwtQ\\u002fF2UghiKa1D\\u002fHZbgvh3PUP1t6xG2STtQ\\u002fQLf2LSQr1D+EXYpsGgnUP9IZpNhR6NM\\u002fnMlodabI0z9j3TA19KnTP1n6aYwXjNM\\u002f1bLu+e1u0z\\u002f45NuCVlLTP7A1MyAyNtM\\u002fjLnoHGQa0z8Elk1j0v7SP\\u002fyPILll49I\\u002fT13m6QnI0j8vaYTfrazSP7zUb6lDkdI\\u002fpCkWc8B10j+U3XNqHFrSPw\\u002fyFJhSPtI\\u002fClj8qWAi0j+LISazRgbSP5L9heEG6tE\\u002fODqGLKXN0T++DCP+JrHRP2LcydiSlNE\\u002fZK8k\\u002fO930T8P0u4KRlvRP5jB2bOcPtE\\u002f5PJoX\\u002fsh0T+wC4HkaAXRP8GYNEXr6NA\\u002fomQedYfM0D9KpVkqQbDQPwKx47kalNA\\u002fl1Pr\\u002fxR40D\\u002fgwkhUL1zQP1orEItnQNA\\u002fCmrpALok0D8hTZOyIQnQP4MYcr0w288\\u002fftENYi2kzz8ecXDqKG3PP+8UXaERNs8\\u002fO9X\\u002fAdX+zj+CbqQ7YMfOP0Kxlrigj84\\u002fr4G0pIRXzj9rpEVw+x7OP+PdzUv25c0\\u002f2RrBmWiszT9CIUZTSHLNPx72iF2ON80\\u002fbq2AzTb8zD9YbHoYQcDMP71xMjCwg8w\\u002fGkLBiYpGzD+BuyMP2gjMPzX0pfuryss\\u002f\\u002fG\\u002f3oxCMyz8YmCgrG03LP0TEQibhDcs\\u002fWASTMHrOyj\\u002fp+Blz\\u002f47KPyNs3iGLT8o\\u002fvGMb8jcQyj\\u002f1z2uMINHJP\\u002f3uLP5eksk\\u002faodULQxUyT+tPulRPxbJP2buKXgN2cg\\u002f1c49DomcyD9QxgOAwWDIP4LIROPCJcg\\u002fIdMttpXrxz\\u002f48ouxPrLHP1JD0q++ecc\\u002fpqd5qRJCxz+UzM7GMwvHPw+Zx4YX1cY\\u002fE2cA+q+fxj8n240Q7GrGP9+U5Pi3NsY\\u002fqqe2jf0Cxj8V+VHQpM\\u002fFP4ksxGyUnMU\\u002fjTvSRLJpxT8\\u002faaz+4zbFP127M5QPBMU\\u002fZeqk3xvRxD84y40i8Z3EP6sgFYR5asQ\\u002f0rLQg6E2xD\\u002fbRqleWALEP1AJnmOQzcM\\u002flUqXNj+Ywz\\u002fl5uD\\u002fXWLDPzv1VIfpK8M\\u002fo9S0OuL0wj8KtiYfTL3CPwOdRa4uhcI\\u002f88qmn5RMwj8l+SagixPCP4owufgj2sE\\u002fUB3OJnCgwT96XbtohGbBP1i0zEB2LME\\u002fUMjb8VvywD+kB234S7jAP57IYINcfsA\\u002f6WNG76JEwD+4AExHMwvAP8oNQ50\\u002fpL8\\u002fLDrhKfEyvz8a7o8wlsK+P1pEDu1DU74\\u002f2rf2XwnlvT9O6e\\u002f47ne9P1Jpj2f2C70\\u002fUFjGkxqhvD\\u002f80si9Tze8P2TRe8SDzrs\\u002fFJyWkJ5muz8nV9Khgv+6P2cmwLoNmbo\\u002fAH0xpxkzuj9pIooYfc25P12k25IMaLk\\u002f0+5QZZsCuT8WfTio\\u002fJy4P0Mv5ToEN7g\\u002fvZepu4fQtz8UH190X2m3P1hkODZnAbc\\u002fbtAKIH+Ytj\\u002fMsMNKjC62P6oMXlh5w7U\\u002fNtxj4jZXtT+Y\\u002fMrFu+m0P\\u002fBwz0oFe7Q\\u002flEZEKBcLtD9Epq1i+5mzP4YnTAjCJ7M\\u002fv1kOzIC0sj+p3xyCUkCyP5AAY4FWy7E\\u002fzTIN7q9VsT\\u002fxbXXxhN+wP0UoV+T9aLA\\u002fyEXR4Ijkrz\\u002ftPjZdBfeuP\\u002f9Ejo7ECa4\\u002fzTvaMhcdrT9cVO3bSTGsPxz2FHejRqs\\u002fHKgf\\u002fmNdqj\\u002fU4uBYw3WpP1hpCnXwj6g\\u002fjP3MmBCspz986DLzPsqmP9BlmGuM6qU\\u002fk18SsP8MpT8L\\u002fASBlTGkPykcqzZBWKM\\u002famzne+2Aoj9k8W84fauhP9buRaPM16A\\u002fvK98dbIFoD+joi9pAmqeP9likxYRy5w\\u002fVRsvTi0umz+Ka8gi85KZP0LON\\u002fUA+Zc\\u002fy8Zk3flflj+79ajVh8eUP8EaJ5pdL5M\\u002fqSTMLziXkT9p\\u002flMSwP2PP8ZgK4RTzIw\\u002fL4i12+yZiT9CO7TtZmaGP+KA7CK0MYM\\u002fmL+8HLn3fz9nZsGG9ol5P2zyAgF2GnM\\u002fW6x2I0lTaT8PwmtO+N9YPxhup9kR\\u002fgy\\u002fsbMZ6TOvWr8G2Fm2CjpqvxTmE8ZNjXO\\u002fGakYWm\\u002f8eb\\u002f8bZ4JLjWAv95\\u002fUvuaa4O\\u002fzoQneKqhhr9pHZKWpdeJvzJM\\u002fuLzDY2\\u002fJPDH5o0ikL8XjfAS4b6Rv\\u002fwTaVBUXJO\\u002f8TyAtVX7lL+laoToXpyWv8AfkAbzP5i\\u002f9jXWJ5zmmb9z+RWP6JCbv1G0ZZRnP52\\u002fn\\u002fSpXabynr\\u002fs9WQ8llWgv6GXeDa8NKG\\u002fwpR1LP4Wor93LGtajfyiv7zdiKaR5aO\\u002fo\\u002fOuRSjSpL\\u002fVedyQYsKlv\\u002frbQxRFtqa\\u002fOjGZ38atp7+9v8Ed0aiov2q+c\\u002fg+p6m\\u002ffAeZyt2oqr98pHGiba2rv+bbjhKitKy\\u002f+D3YTiO+rb8Az+2Qj8muv1OMcL181q+\\u002fIzkIIT1ysL\\u002f8x1+Rifmwv3E4jxXogLG\\u002fQOkTHB0Isr9f0qtG7o6yv0S2BJQjFbO\\u002fNTjMgYias7\\u002f8bHUg7R60v3ZLQBInorS\\u002fQt1ubxIktb\\u002fWexmKkqS1vwInvIySI7a\\u002fOo9f7wWhtr\\u002fHgSTA6By3v1z98rw\\u002fl7e\\u002fBLkZPRgQuL8CTcHqh4e4v8YLMU2s\\u002fbi\\u002f6Wb8Japyub8L2j+krOa5v91RFXLkWbq\\u002fpqtToYbMur+VeH19yz67v7h0c0ntsLu\\u002fEp8K8CYjvL+h3wivspW8v1TlQsTICL2\\u002fn42gJJ58vb\\u002fT76lEY\\u002fG9vyZZ7vlCZ76\\u002f83cZfGHevr\\u002fIBeSL21a\\u002fv5XUP8XF0L+\\u002fEMSXEBYmwL890FbViGTAv9tXcTS4o8C\\u002ftw3bv5zjwL\\u002f5SUPDKiTBv\\u002fVYy4lSZcG\\u002ffye\\u002fvACnwb+gwmDZHunBv7v3SLuTK8K\\u002f2kVeOERuwr+PYfLKE7HCv9WPOEbl88K\\u002fTXT+kJs2w784g19iGnnDvwV+EvxGu8O\\u002fnhPx3Qj9w78pMXRuSj7Ev8J1E5T5fsS\\u002fcavCOwi\\u002fxL9QrSvJbP7Ev2K5u20iPcW\\u002fR1EmZCl7xb+9jZoOh7jFvy\\u002fJjvZF9cW\\u002f\\u002fyC2rXUxxr9xnmeQKm3Gv3bWc2p9qMa\\u002f12IXAIvjxr+SsmJ9cx7Hv79iDs9ZWce\\u002f8+hC6GKUx7+qaVf5tM\\u002fHvwoc85t2C8i\\u002fEgRM+c1HyL8bCXPv34TIvxsAtzrPwsi\\u002fi0clqLsByb9uyg5WwUHJvycLPAf4gsm\\u002fnzsjjXLFyb86BwJNPgnKv9XIM+NiTsq\\u002fsjN\\u002f5+GUyr89PmfUttzKvycFzhLXJcu\\u002f1GpxKjJwy797pvwWsrvLv+QynMA7CMy\\u002f+w43lq9VzL+8eK1G6qPMvzyExpXF8sy\\u002f5zzPSBlCzb8UIFsmvJHNv80NGgSF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rqv6\\u002fHxzY6Ceq\\u002f5\\u002fBV1tIH6r\\u002f9B4IMdQbqvyODbjglBeq\\u002fAD3ZbecD6r+pMDFhvwLqv5ssmlWwAeq\\u002faQU7Db0A6r+fNSS85\\u002f\\u002fpv9ekDP4x\\u002f+m\\u002fDfYQz5z+6b+srY+HKP7pv4cxKtvU\\u002fem\\u002fvYzg2qD96b8KcSz6iv3pv1mR7xaR\\u002fem\\u002f1of6g7D96b9bW+QV5v3pv1ur3zEu\\u002fum\\u002fR8ox3oT+6b\\u002fXwunT5f7pv7GFcZFM\\u002f+m\\u002fa0+SbbT\\u002f6b8osIaqGADqv8FguIh0AOq\\u002fnBLOWMMA6r+GbLWMAAHqv\\u002f0pX8cnAeq\\u002fgYLu6jQB6r9LRSklJAHqv3kTA\\u002frxAOq\\u002fEHorTJsA6r+8\\u002fZNjHQDqvxkX8PF1\\u002f+m\\u002fgVE9FaP+6b8452xYo\\u002f3pvxgQUrJ1\\u002fOm\\u002fgIgAgxn76b9hcM2Pjvnpv1poKf7U9+m\\u002fibGNTe316b93DrdQ2PPpvxBBaCaX8em\\u002fjGLrMSvv6b\\u002f2GYUTluzpv34bB6HZ6em\\u002fLJmo3vfm6b9GqkP48uPpv4h0DjvN4Om\\u002f313eD4nd6b\\u002fwDvv1KNrpv\\u002fXffn6v1um\\u002fFLg6SB\\u002fT6b+nrwz8es\\u002fpvxopk0nFy+m\\u002fNbwh5ADI6b8OZ9p\\u002fMMTpv7ASzM5WwOm\\u002f+aX3fXa86b+qmh4ykrjpv38\\u002fQYSstOm\\u002fbGq3\\u002fcew6b82LNQT56zpv7DnCyMMqem\\u002fj8WbaTml6b9pk7kBcaHpvxlnW9u0nem\\u002fuJOutQaa6b+1SF0YaJbpv\\u002flNyUzakum\\u002fFm1oV16P6b+n+nPx9Ivpv5FdIIOeiOm\\u002f9DmTHluF6b\\u002fF5s57KoLpvwf8x\\u002fULf+m\\u002fIAvWiP576b\\u002fjAavSAHnpvzpi9RMRdum\\u002fpovIMy1z6b+j\\u002fdvEUnDpv27\\u002fpgx\\u002fbem\\u002f4cRRDK9q6b+RTWiL32fpvy43LiQNZem\\u002fRe1lUTRi6b9RaVF9UV\\u002fpv3Z1pxFhXOm\\u002fPncuiF9Z6b9ehKV7SVbpvwM0nrgbU+m\\u002fZ4flTdNP6b9pkxicbUzpvwdyAmToSOm\\u002fQXtk00FF6b+03s+PeEHpvxRcQL+LPem\\u002f\\u002fuQyDns56b\\u002fpMgCzRjXpv8SDUm7vMOm\\u002fd26eiHYs6b87rZjM3SfpvyBqtX4nI+m\\u002ftZPQUVYe6b8rgzFZbRnpv69SLvhvFOm\\u002ffSXEz2EP6b+33oiqRgrpv8rkZ2ciBem\\u002fLi+m4\\u002fj\\u002f6L9Ko7Hkzfrov55qRAKl9ei\\u002fNj1mkYHw6L+zc9OQZuvov6AOTJdW5ui\\u002fhcVDxFPh6L9Jxl+zX9zov2BNH3N71+i\\u002fL\\u002fr5fqfS6L+HHCq9483ov02nQoAvyei\\u002f932YjInE6L\\u002fJCW4h8L\\u002fov0UCtwVhu+i\\u002f97sxmNm26L8JwXviVrLov2iRsa7Vrei\\u002fFsAVn1Kp6L\\u002fAyipHyqTov4V5nUU5oOi\\u002f\\u002f71TXpyb6L91P+6T8JbovwFHCUAzkui\\u002fjrWMKWKN6L+TIWKYe4jovzQY9GV+g+i\\u002f4ZbpCWp+6L+X3aSiPnnovzhQJPn8c+i\\u002fiMP+f6Zu6L87s1FNPWnovxPVlg\\u002fEY+i\\u002fmZN2\\u002fT1e6L+ucc3Arljov+NnOl0aU+i\\u002fXC2rEoVN6L\\u002fdSng880fov6UQvS1pQui\\u002fOWCuC+s86L9REMamfDfov2L6plMhMui\\u002fOQunxNss6L\\u002fmp\\u002fDkrSfov1AkK7aYIui\\u002fN9aSMZwd6L+Bh1wttxjov6DbLUfnE+i\\u002fx\\u002fRc1CgP6L+ItY3Ydgrov8btIgPLBei\\u002fMUHWsx0B6L8uX6MGZvznvy0LC+eZ9+e\\u002f21yJKq7y57+jcfGxlu3nv8d2OJFG6Oe\\u002fwWkTPbDi57\\u002f9E6e9xdznv\\u002fV5aeV41ue\\u002fD\\u002f43i7vP5785iI7Gf8jnv+qzuiy4wOe\\u002f4c\\u002faDVi4578ftXOwU6\\u002fnvzBXaoqgpee\\u002f4Xo2djWb5794ITPjCpDnvy2pBgAbhOe\\u002fOAU43mF357\\u002fPMieO3Wnnv6+MxDKOW+e\\u002fqgqMDHZM57\\u002ft9nV7mTznv3E5vff+K+e\\u002fqAmLAa8a57\\u002fqk8cHtAjnvzbafUYa9ua\\u002fq8ttne\\u002fi5r+9MZFfQ8\\u002fmv6W+fRwmu+a\\u002fOFyvZKmm5r+pF+GJ35Hmv1MNsFzbfOa\\u002fIQbS6K9n5r9yuzAxcFLmv0O5Ou0uPea\\u002fDZmzSP4n5r9L8T6n7xLmv9omzGwT\\u002fuW\\u002fIcPty3jp5b9mpQWbLdXlv1QWCTE+weW\\u002fwEh1SrWt5b9qIt\\u002f2m5rlv0NCWY\\u002f5h+W\\u002fujm6tdN15b+d6JtcLmTlv978vNcLU+W\\u002fftQ\\u002f9GxC5b9TbxcYUTLlv5m3zGe2IuW\\u002fCwWl8ZkT5b+1IRfd9wTlv63bZp3L9uS\\u002f0c0wJhDp5L8a0aggwNvkv8CdTSDWzuS\\u002f1n\\u002fb1UzC5L9JdlY\\u002fH7bkv1g\\u002fGdRIquS\\u002fhznyq8We5L8f8XegkpPkv2zp5GetiOS\\u002fD8bzqBR+5L9scmEHyHPkv4sz6SjIaeS\\u002fP529shZg5L8\\u002fErA\\u002ftlbkv42tZU+qTeS\\u002fRyMjL\\u002fdE5L+6TuDcoTzkv8vXduWvNOS\\u002fEs3cPict5L92j3MfDibkv3xwhNNqH+S\\u002fF4UOkkMZ5L+tNgxSnhPkv8f3UqGADuS\\u002fAFEkfu8J5L92g3U07wXkv6Sw2j+DAuS\\u002fn2vkMq7\\u002f479Ehpukcf3jv7uunyTO++O\\u002fHfdCNsP647\\u002fFsM9ST\\u002frjv7Eu+PJv+uO\\u002fRiJCnyH7478kchIHYPzjv4u50x0m\\u002fuO\\u002fPhKKPW4A5L9nWQNOMgPkv0GgtO9rBuS\\u002fS6g8qRQK5L+twXAWJg7kv9uTzReaEuS\\u002f+I0gAWsX5L+PF0HGkxzkv9YLuiQQIuS\\u002fgF9Uydwn5L9Opopw9y3kvyv+CQFfNOS\\u002fWQOHnxM75L9+EVS7FkLkv1JRUBNrSeS\\u002fXOzzshRR5L9QLWznGFnkv6U86Sx+YeS\\u002fW3ZtFExq5L8z85oii3Pkv7TBJahEfeS\\u002fwXm3lIKH5L+aazJFT5LkvyfjXk61neS\\u002fpCkjRb+p5L\\u002fimHaFd7bkv3LXSPnnw+S\\u002faQOY4BnS5L\\u002fFIOubFeHkvzC0WXri8OS\\u002f7lY2jIYB5b+puFh7BhPlv1CH5GllJeW\\u002fWs9G2KQ45b89a\\u002fuSxEzlv0H2gKjCYeW\\u002feGy0Z5t35b8FOJ9mSY7lvyn2k5HFpeW\\u002fQshIQge+5b+zl3JeBNflv\\u002fRIPH2x8OW\\u002fDFfQEgIL5r9GhQuh6CXmvwDvVOxWQea\\u002fOU6DMz5d5r\\u002f5Qalpj3nmv3\\u002fymnA7lua\\u002fdMX+UjOz5r+U28B8aNDmv6CXzfDM7ea\\u002fSBcKe1ML578D1pnd7yjnv4QFnviWRue\\u002frse86z5k579\\u002fiuMw34Hnv\\u002fZv369wn+e\\u002f5vCPyu2857+s1qFhUtrnvzU+6tGb9+e\\u002fVKOh6sgU6L+9C+Xc2THov4NxBiXQTui\\u002fy8NUbq5r6L+ujB5yeIjov8L5x9Iypei\\u002frD3d8+LB6L\\u002fruhTQjt7ovz0AOc48++i\\u002fqFPxlfMX6b8XhFjluTTpv0w8RWiWUem\\u002fy40Vko9u6b86Xrl6q4vpv112nb\\u002fvqOm\\u002fANj7aGHG6b+AhPbTBOTpv7DRwKHdAeq\\u002flKn5q+4f6r+idjf+OT7qv+jepdTAXOq\\u002fMpt2n4N76r9WZ8oKgprqvzLqnQq7ueq\\u002f6BUx6izZ6r+qXk5e1fjqv2GTypmxGOu\\u002fzl+OY744679jnXct+Fjrv1WTYitbeeu\\u002fyfSxaeOZ678+hLfijLrrv19jbpJT2+u\\u002f7L0KiDP86790Gfj0KB3sv9969zgwPuy\\u002fYBQo60Vf7L+Uid\\u002ffZoDsv3JQUSuQoey\\u002fvoseIb\\u002fC7L\\u002fXNQBR8ePsv+Po04AkBe2\\u002f\\u002fmJnpFYm7b+C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YeK\\u002fgbsf51FS4r\\u002fjqA2zjUPiv4hm7vDkNOK\\u002fVeW+51Um4r\\u002f7LS543hfiv\\u002fDOwy98CeK\\u002fwC62XSz74b\\u002flFN8o7OzhvxmmOKa43uG\\u002fl8BM747Q4b+8BgQ4bMLhv+DVSONNtOG\\u002f+qT8lTGm4b+thMtHFZjhvydUeVH3ieG\\u002fNEZWeNZ74b\\u002fFCpz2sW3hv6jWiYCJX+G\\u002fIA0rRl1R4b9z8snxLUPhv54CJaP8NOG\\u002fqsmR58om4b+470qvmhjhv0QjOEBuCuG\\u002fAUaNJkj84L9KaqojK+7gv0GIrxsa4OC\\u002fGC49AhjS4L9zs97GJ8Tgv3KgmkFMtuC\\u002fSBMjIIio4L+2GxrU3ZrgvzF31YJPjeC\\u002flBMC995\\u002f4L+slHqUjXLgv74mlU5cZeC\\u002fCJQcoUtY4L+7SxeMW0vgv6w9bZKLPuC\\u002fmpJru9ox4L\\u002fXzBOXRyXgv8IrE0XQGOC\\u002fhqsvfnIM4L+OAuqfKwDgv0\\u002fBD3Tx59+\\u002fpV9fO63P379ExG7bg7ffv9UlhV9un9+\\u002fJwOTu2WH379wY0TvYm\\u002ffv+51TihfV9+\\u002fg9o441M\\u002f3799cPAJOyffv34Ogw8PD9+\\u002f+HF4CMv23r9ScFS\\u002fat7ev7xU6MTqxd6\\u002fC6w0fEit3r+80bghgpTev\\u002f6sKc6We96\\u002ftnikdIZi3r\\u002fTiozcUUnev9g1W5f6L96\\u002fqoe+8oIW3r97XHbn7fzdvzCabgU\\u002f492\\u002fSyWhXXrJ3b+MEVJqpK\\u002fdvwSePPbBld2\\u002fjb1HA9h73b9ZYlWx62Hdv0myuCUCSN2\\u002fSgHVcyAu3b+vUFqHSxTdv+aKhBCI+ty\\u002fokexctrg3L99E421RsfcvxSVBXnQrdy\\u002fffwZ7HqU3L\\u002fVho\\u002fGSHvcvzMCfUU8Yty\\u002fFKaOKldJ3L+JstO9mjDcv6N12dEHGNy\\u002fE+bLyZ7\\u002f279lKkuhX+fbv4pKn\\u002fVJz9u\\u002fDADwD123278HGCbwl5\\u002fbv6kJHlj5h9u\\u002fcBbY1n9w279XQFnTKVnbv0VR+Zb1Qdu\\u002fILrkVuEq27+r06Q86xPbv+CdjW0R\\u002fdq\\u002fngr9EFLm2r\\u002fxxGRVq8\\u002fav3zMI3Qbudq\\u002flMlAtKCi2r9MSyBsOYzav3bqWgLkddq\\u002fPkTe7Z5f2r92wIi1aEnav7b1cu8\\u002fM9q\\u002flTUaQCMd2r+3Vp5ZEQfav9xPQfsI8dm\\u002fysZR8Qjb2b\\u002fckqIVEMXZvwehqFAdr9m\\u002fH\\u002fVOmy+Z2b+hDoYBRoPZv3weiaVfbdm\\u002fOqHIw3tX2b\\u002fUfF+3mUHZvzAU7v64K9m\\u002fMzeuQdkV2b+pwotU+v\\u002fYv2puCD8c6ti\\u002fyOytPz\\u002fU2L\\u002fASdDPY77Yv76BY6aKqNi\\u002f5ZuqubSS2L\\u002f6JIw\\u002f43zYv+2cX6wXZ9i\\u002fkhIRsFNR2L\\u002fMh4MxmTvYvyuCJ0jqJdi\\u002fagHJM0kQ2L94laZSuPrXvx8K8hU65de\\u002f06Tp9NDP178Z0cZef7rXv5Tdy6tHpde\\u002f6KzFDSyQ17+FlV+ALnvXv7XDrrlQZte\\u002fJPteG5RR1781Xuyk+TzXvw25VOeBKNe\\u002fsaqm+iwU179O4M11+v\\u002fWv1GM8Wjp69a\\u002fTXmtWvjX1r9x1l5IJcTWv8durKltsNa\\u002fgc1ed86c1r8SUog1RInWv03n5wDLdda\\u002fcXpbn15i1r8z\\u002fSGT+k7Wv9dFmDCaO9a\\u002fMwsJtjgo1r9oFBdl0RTWv137OZ1fAda\\u002fNAe69t7t1b+WDo9dS9rVv9BMgSuhxtW\\u002fU93pQN2y1b8jSnMb\\u002fZ7Vv4RLQer+itW\\u002fl3bxnuF21b8j+vT6pGLVvz1t1ZhJTtW\\u002fasAL8dA51b9FLChaPSXVvwD4IwSSENW\\u002fjpnR7tL71L+pXHzbBOfUvzrE5Tkt0tS\\u002fCY3rEFK91L+c5DzjeajUvwJin5Crk9S\\u002fXO5bNO5+1L9bdYABSWrUv31htB3DVdS\\u002fLhZre2NB1L9bbki0MC3Uv7Rxj+QwGdS\\u002fiMlyiGkF1L9G6xhc3\\u002fHTv1x\\u002fGz+W3tO\\u002fxmM6HJHL078gEufV0bjTv0OINThZptO\\u002fs5Gk8CaU07\\u002fZBxGMOYLTvyD1BnuOcNO\\u002fey6BHCJf07\\u002fprgTP703Tv4OU4QfyPNO\\u002fStZAcCIs079VcIQHehvTvxeaYErxCtO\\u002filz4XYD60r9ELC8+H+rSv9ClTO7F2dK\\u002fmqX\\u002fqmzJ0r\\u002f2GMMcDLnSvxFdoYmdqNK\\u002fQe5SBRuY0r+lnrqef4fSv8BtzInHdtK\\u002fdjX8RPBl0r9NZWa5+FTSv\\u002fh9\\u002flThQ9K\\u002f7mcsHqwy0r9mdmLAXCHSvyc4WZH4D9K\\u002fnGHDjob+0b8mUHJUD+3RvxsTCgud29G\\u002fAbmJTzvK0b\\u002fNAxEU97jRv\\u002fPYbnrep9G\\u002fBgQjqQCX0b\\u002fYi5mbbYbRv6JVfe41dtG\\u002fP6USqWpm0b\\u002fHzpcEHVfRvxXnsjJeSNG\\u002fxkL2Iz860b9hHINP0CzRvyXfyXwhING\\u002fO5FakEEU0b+V+6VcPgnRvx\\u002fteXck\\u002f9C\\u002ftdToFP\\u002f10L\\u002fLiC\\u002fo1+3Qv04VDAu35tC\\u002fbZHW66Lg0L8KB4pCoNvQv+4tyAyy19C\\u002f6+K\\u002fkNnU0L8YmLxmFtPQv6E5BYlm0tC\\u002fzc2TacbS0L+rBxUNMdTQv1GeiCqg1tC\\u002fZOXITgza0L8UMzIDbd7Qv75Hmfa449C\\u002fJEe7J+bp0L+X3FEQ6vDQv9LA+s+5+NC\\u002ffc4qVkoB0b+jznGKkArRvy7EZHKBFNG\\u002fTz6YVBIf0b+YlirYOCrRv\\u002f9ZdiDrNdG\\u002fTdye5B9C0b9Kb8OCzk7Rv+NJwA7vW9G\\u002f2jR+XHpp0b8a+OoFanfRvw63y2y4hdG\\u002fu2yvuGCU0b+pGFrRXqPRv7iTEFavstG\\u002fiyg5kk\\u002fC0b8Vwc1vPdLRv7uqIWh34tG\\u002fUZ1+c\\u002fzy0b+x8Br4ywPSvzzp5bjlFNK\\u002fgwifxEkm0r+fpaJl+DfSvzQnyRLySdK\\u002ftXWnYTdc0r9BIG\\u002f6yG7Sv5Gzm42ngdK\\u002fwmyJy9OU0r\\u002fTPwBeTqjSv1CXreMXvNK\\u002fcbN37TDQ0r+riof9meTSv3He2YdT+dK\\u002feike9F0O07+SWKKguSPTv7MJBeZmOdO\\u002fXG1lG2ZP078V1ceat2XTv8poaMVbfNO\\u002fdEC6B1OT078NA9jcnarTv7TlM9E8wtO\\u002fkSRfhDDa078tcsypefLTv4j9fAgZC9S\\u002fTCeUeQ8k1L9xY9rlXT3Uv0epQ0IFV9S\\u002fTteYiwZx1L86NW3BYovUv\\u002fVzkeAaptS\\u002fjO473S\\u002fB1L98RiKdotzUv3ekwvFz+NS\\u002fRdAak6QU1b9J\\u002fwgbNTHVvx2yjQEmTtW\\u002fqmkfmndr1b+jjTgSKonVv03ePXE9p9W\\u002fx37QmbHF1b8fbpJMhuTVv7WEVyy7A9a\\u002fVSSww08j1r\\u002f8Lq6LQ0PWv+3ouPOVY9a\\u002fMpQ5akaE1r\\u002fNLuFlVKXWv4IfQG+\\u002fxta\\u002fGg1jKofo1r9U0yRgqwrXv3yu5AYsLde\\u002fCl9RSglQ17+MN\\u002f6RQ3PXv9WsfYbblte\\u002fWvnFFNK617+XeK9vKN\\u002fXv51LaQ\\u002fgA9i\\u002f9T7Prvoo2L97b5tGek7Yv31dfgZhdNi\\u002f6oU4TLGa2L93weCYbcHYv8QSkoSY6Ni\\u002fosLJsDQQ2b8TNsu5RDjZv1FoaSfLYNm\\u002f9AGeXcqJ2b9VX1uNRLPZv5U2CaY73dm\\u002fXdQaSLEH2r\\u002fP+Sm5pjLavylP+tkcXtq\\u002fkje\\u002fHhSK2r\\u002fdyPCJjLbav1UJ7amF49q\\u002fnrKQmf4Q278tBd8D9j7bvwwsuypqbdu\\u002fV9af8Fic27+1livlv8vbv1bcQlSc+9u\\u002fs5FzV+sr3L8eLjPpqVzcv9zifvnUjdy\\u002fZgVXg2m\\u002f3L+uaIOiZPHcv1JiBqnDI92\\u002fgg6gM4RW3b9ERMM8pIndv0ysYS0ivd2\\u002fOZ386vzw3b8uo3TiMyXev+rCIQ\\u002fHWd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793+SC0j\\u002fT3zUQIHHSP7Hnx7j8XtI\\u002fXD8MYH1M0j\\u002fM+dyzpjnSPzGULVF\\u002fJtI\\u002fc\\u002fzKfw8T0j9UqnjkYP\\u002fRP7f7yit+69E\\u002fXHY6sHLX0T\\u002fyVPcdSsPRP\\u002fTfABcQr9E\\u002fxuLw2c+a0T9F0Mntk4bRP\\u002fTs5tRlctE\\u002fnHXyyE1e0T9c13+BUkrRP2aEmQZ5NtE\\u002fXMU8kMQi0T9gQ2RzNg\\u002fRP\\u002f0k5hzO+9A\\u002fSLkOGono0D9vCYcuY9XQPxFkwXZWwtA\\u002fhQ\\u002fXlVuv0D9Cm3vtaZzQP8Jdbd53idA\\u002fzOKYD3t20D9ndf+5aGPQP3xFWPc1UNA\\u002f9FlYEdg80D\\u002fVo4\\u002fPRCnQPyjh2MFyFdA\\u002fbAN2hVkB0D8nPzUG5NnPP7zcsEhtsM8\\u002fpF87\\u002fkaGzz9ZinHsbFvPP7GQO5zeL88\\u002fedTwap8Dzz+8+ceCttbOPwqI5rouqc4\\u002fwfv+XxZ7zj+LSQDnfkzOP5XR4ot8Hc4\\u002fjE4Z3yXuzT+Tj5VEk77NP0BRpmfejs0\\u002fUmgzpyFfzT9pSgZ+dy\\u002fNP3gM3ur5\\u002f8w\\u002fN\\u002fwG3MHQzD\\u002fqcA+i5qHMP+FM\\u002fmx9c8w\\u002fB3Ql15hFzD+1QU2ASBjMP1FCiLuY68s\\u002f6wuDUZK\\u002fyz8OL55YOpTLP\\u002fhOkyOSacs\\u002fWw3WRpc\\u002fyz\\u002fGOlG0QxbLP2E+lOyN7co\\u002fy13\\u002fQ2nFyj9MugI6xp3KPzFxFuCSdso\\u002fofC0TbtPyj9TblUeKinKP1U8LfbIAso\\u002f7axcCoHcyT+s\\u002fB+pO7bJP+hypr7ij8k\\u002fwiJRU2FpyT+tgE4ApELJPxPezleZG8k\\u002fweFlPjL0yD\\u002fZ5pMzYszIP7YY5YcfpMg\\u002fwiuQf2N7yD+VjABhKlLIP\\u002fluPG9zKMg\\u002fufia0ED+xz+Ggb5il9PHP8dYP31+qMc\\u002fJ7fhpP98xz9hupIxJlHHP2Mouun+JMc\\u002f3UCvlZf4xj+qlEyO\\u002fsvGPxWkuElCn8Y\\u002fAGB+6XByxj9CkQHNl0XGPwIbOCvDGMY\\u002fYwhbtv3rxT9n0\\u002fpLUL\\u002fFP+U3i7PBksU\\u002f43wWbVZmxT8HBVmREDrFP5wHD8TvDcU\\u002fYKHCOPHhxD\\u002f3HevJD7bEP9ygsiFEisQ\\u002f5FVA84RexD+sDPZCxzLEPxBqq7v+BsQ\\u002fzDOZDh7bwz9D2F5bF6\\u002fDP8EGVZ3cgsM\\u002fHlA7G2BWwz\\u002feRT3WlCnDP+HRTfVu\\u002fMI\\u002f8nXtKeTOwj+UNZkL7KDCP38SW2eAcsI\\u002f6rtAgZ1Dwj8acddFQhTCP\\u002fjZMmpw5ME\\u002fsil1eSy0wT\\u002fKakbPfYPBPzpfJH9uUsE\\u002fitDwKAshwT+zbJ67Yu\\u002fAPwhMUSeGvcA\\u002fxRW1AIiLwD9Rs6wXfFnAP7Mw1AN3J8A\\u002ftVwlUxvrvz8D3Vx1qYe\\u002fPziF7WrAJL8\\u002fuCJMy4XCvj\\u002fGBTLUG2G+P3hevoSgAL4\\u002flhz8zSyhvT\\u002fj3QLe00K9PwjFTYqi5bw\\u002fD2oq3Z6JvD9b\\u002fFDJxy68P6sj0gUV1bs\\u002fdtWUE3d8uz\\u002fn9aNs1yS7P5JTj9wYzro\\u002fdmgrABh4uj96Rw3qqyK6PwXuQeimzbk\\u002fJSn3Ztd4uT9NJB3rCCS5Pze1dh8Fz7g\\u002fYfQe7pR5uD+4Qj+ggSO4P+46i\\u002f2VzLc\\u002fVgEZZZ90tz\\u002fYzFPZbhu3P3hQE\\u002fnZwLY\\u002fg+VS4Ltktj8GNJTr9Qa2P4\\u002f+pllwp7U\\u002fFXJWyBpGtT9EC1eJ7OK0P4CKuc3kfbQ\\u002fVu0ZpwoXtD8MM7febK6zP7T4k6MhRLM\\u002fOP6qEUbYsj8X6R+V\\u002fWqyP6P6Hi1x\\u002fLE\\u002f6UbRks6MsT8LQmJJRxyxP7HVi5wPq7A\\u002fZA51k105sD9kGca7z46vP\\u002fjEloPJqq4\\u002fwKeEHhLHrT859w5BDuSsP356M9cbAqw\\u002fg4GFVJAhqz9rO+s5t0KqP\\u002fl\\u002fX9jQZak\\u002fq5yVVhGLqD\\u002fFlL79n7KnPznH\\u002fc+W3KY\\u002fkapgaQIJpj9QCXUq4jelPxRX7akoaaQ\\u002fFYEtabycoz\\u002fvYSXGeNKiPwFPkSMvCqI\\u002fIXecP6hDoT8OHvqvpX6gPw\\u002fVvfPGdZ8\\u002fqGSrdzPwnT+XIHq+\\u002fGucP\\u002fBumY6N6Jo\\u002fD46i51JlmT8lw7Acv+GXP+LakLJMXZY\\u002fe9Gj8oDXlD\\u002ftcIkl7k+TP4LPJGs1xpE\\u002ftrY8KAg6kD8cj5UJUlaNP17p1fHYMoo\\u002fo5Zt0nEJhz+wFTWsDNqDP9yLl0i7pIA\\u002frKenG17Tej\\u002f0p6hXbFJ0P2v\\u002fq+ngjms\\u002fLAxrJJPNXD+U2A+Mz+wiP3zRbuNMLVi\\u002f+MOP+\\u002f9mab++Tvw6z19zv5xt\\u002frLwDnq\\u002f6rxxTc5fgL\\u002fkNvKATbiDv3XdrS5lEIe\\u002fSSEki5Jnir8VPOv+Yr2Nv49S1uW6iJC\\u002fRs3Ri74xkr9vmP4vn9mTv3rTditJgJW\\u002fqWlBG7Ill79tAolK2MmYv2Izv+XBbJq\\u002ffZYyAHwOnL\\u002fGALZ2Ga+dv4NZt7qxTp+\\u002fzITEyK92oL\\u002fwANTpn0Whv1heuRs4FKK\\u002frnsLGYfior81GT38mrCjv9ROStSAfqS\\u002fB7wUUURMpb8ZpQOK7xmmv7C0ieCK56a\\u002f99gy\\u002fxy1p7+2XNn0qoKov7XCoWo4UKm\\u002fwsZo8scdqr9tmG1qW+uqvyDKOnL0uKu\\u002fyrAo7JSGrL+9R1GGP1Stv9tVdEX4Ia6\\u002f\\u002fY0dDMXvrr\\u002fOhV8Yrr2vv20LUznfRbC\\u002fwhdAJAKtsL+MDmWXSBSxvxI2qSO9e7G\\u002fRwR0I2zjsb8oSNmsY0uyv4KZX3Kzs7K\\u002foM9ikmwcs7\\u002fmu6RVoYWzv8SpLt5k77O\\u002fbAAyyMpZtL+Hsxm\\u002f5sS0vzD7dAnMMLW\\u002fpGfKDo2dtb+He7XaOgu2v9+77aDkeba\\u002fVUz6RZfptr\\u002fMGF\\u002fwXFq3v\\u002fhB\\u002f6U8zLe\\u002fwcZD+Tk\\u002fuL8CtU3JVLO4v93BGRiJKLm\\u002fEPoB+c6eub+t3HuZGha6vzLkUGVcjrq\\u002fYQfhRoEHu7\\u002flS0YDc4G7v4mycrEY\\u002fLu\\u002faV6jSld3vL\\u002f9yclREvO8vxUO244sb72\\u002f6ntS2ojrvb9MlKT0Cmi+vxnl5WSY5L6\\u002fmy6KWRlhv79Jed6Fed2\\u002fv6ZtX3vULMC\\u002f0hyEbM5qwL8xFjQWqKjAv2CsuC5i5sC\\u002f0R0g4QAkwb926sD6i2HBvx42KAYPn8G\\u002fsMELUpncwb9KhEHjPRrCv5w3MVETWMK\\u002fT7msjDOWwr++PZiRu9TCvzAcSATLE8O\\u002fipD0u4NTw7\\u002fnPhk8CZTDv4u\\u002fAx+A1cO\\u002fnko3dA0YxL8QSKEV1lvEv9Pe4Pb9oMS\\u002fzLoYcqfnxL88peSV8i\\u002fFv2AiG3j8ecW\\u002fdWv9kN7Fxb8tp10irhPGv\\u002fJ+FK57Y8a\\u002f+ObcflK1xr82YFhGOAnHv17QmNIsX8e\\u002fclsZ3Sm3x7+B34\\u002f0IhHIvyuJd4IFbci\\u002fDmel7LjKyL+9DaXSHirJv\\u002fGCCGYTi8m\\u002fLQhH3G3tyb\\u002f4MT34AFHKv14W4aibtcq\\u002fWiZKugkby7\\u002fhGsiVFIHLv0aIcQ2E58u\\u002fthNTLx9OzL\\u002f2aT0crbTMv3r3Gt71Gs2\\u002fcYi3OcOAzb9Kaft34eXNv8zhyCIgSs6\\u002fHv7ssVKtzr9FE+okUQ\\u002fPv1VqyYb4b8+\\u002fpq2XWSvPz7\\u002fTPdnzaBbQv4v5zDxtRNC\\u002fegPGt5xx0L9P0mKf9J3Qv2TubSl1ydC\\u002fgv0YaiH00L\\u002fIw44q\\u002fx3Rv1S\\u002f5bMWR9G\\u002fGd63j3Jv0b9KE9c\\u002fH5fRv3Ypwe4qvtG\\u002f0DOWGqXk0b\\u002fpx2s8ngrSvzZD420nMNK\\u002fAp3qDlJV0r85uIVtL3rSv2sg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v87id9F80eK\\u002fAeKveYzD4r87yZ8AobXiv\\u002fbBp060p+K\\u002f10QiU8CZ4r8JnsEnv4vivxfCJDOrfeK\\u002fcufSSX9v4r\\u002f2vtfMNmHiv7g9ScXNUuK\\u002fAU8T\\u002fEBE4r\\u002fh9XwNjjXivyrP9HezJuK\\u002fFdvPpbAX4r+ARcTxhQjiv3\\u002fJCaY0+eG\\u002ffIMp9r7p4b+2x6bzJ9rhv5wcyX1zyuG\\u002f1hTsLKa64b8BxdM5xarhv7Bfm2HWmuG\\u002fL5fmxt+K4b9oWA3R53rhv6vuAwr1auG\\u002f93TH+w1b4b9FihcOOUvhv+mUQmV8O+G\\u002fMZzBwt0r4b99IVRoYhzhv9rAO\\u002f4ODeG\\u002fWi4jfef94L8c5yQc7+7gvwU3TEMo4OC\\u002fda3PgpTR4L8abiePNMPgv1SrBEIIteC\\u002fX7cSoA6n4L83J07jRZngv+AlpImri+C\\u002ffOpzZzx+4L8b1Ha99HDgvw9zgVHQY+C\\u002fNiaBicpW4L8HNQ+I3kngv0+q60kHPeC\\u002fBL+vwz8w4L8BYAn\\u002fgiPgv9sp1zbMFuC\\u002fD+eF8RYK4L9ryDsyvvrfv07X\\u002fSBC4d+\\u002f4vO5irPH379Lgkp9Da7fvxiNFE5MlN+\\u002fy3kcp216378ZLPeLcGDfv\\u002fURqVZVRt+\\u002fkba0rB0s378+H8hszBHfv+xIopVl996\\u002fw7DvJu7c3r9OEP38a8Lev5OxOajlp96\\u002fiHWWQWKN3r8Ae9s86XLevwYcFDqCWN6\\u002fcrAv1zQ+3r+MXu2CCCTevzKRGlIECt6\\u002f+e4W2C7w3b9piHYDjtbdv04nfP8mvd2\\u002f1g0DG\\u002f6j3b\\u002fe\\u002fEm1Fovdv8D96TBzct2\\u002fjjEb7RRa3b8M0kFF\\u002fEHdv0GalpYoKt2\\u002fYOmYS5gS3b+V\\u002fNbsSPvcv5xfejY35Ny\\u002fvNXsMV\\u002fN3L\\u002fpC9VSvLbcv+jImpZJoNy\\u002fr0qYpQGK3L8PMxr13nPcv\\u002fLEUOnbXdy\\u002fuRZc9vJH3L+p9Ki\\u002fHjLcvyAI5TRaHNy\\u002fp+zlq6AG3L8chPf27fDbvxhhIXc+29u\\u002fS7wQKo\\u002fF27\\u002f+TnOz3a\\u002fbv\\u002fjHrmEomtu\\u002f\\u002f4\\u002f\\u002fLW6E279Abie4rm7bv62W8D3qWNu\\u002fNRjjjiFD27+v6KD8VS3bv1Rxb0iJF9u\\u002f3R6Ejr0B27\\u002fVzbMv9evav+DPKroy1tq\\u002f8rDU0XjA2r\\u002f66xcZyqrav9CVghopldq\\u002fovz5M5h\\u002f2r+4tvCDGWrav9UZFdmuVNq\\u002fKSDWpFk\\u002f2r\\u002f99QbxGirav39p0ljzFNq\\u002fnOcXBeP\\u002f2b93NzSs6erZv0RlIZUG1tm\\u002f7NjDnTjB2b8o+SZEfqzZv+pwWrLVl9m\\u002fIpWSzDyD2b\\u002fl1yJBsW7Zv03e4JkwWtm\\u002faNB5TrhF2b8C3EHXRTHZv7WPB8DWHNm\\u002fmIB5umgI2b9OXLSv+fPYvxXEmdCH39i\\u002f87OcpBHL2L\\u002flVb4WlrbYv0d\\u002fhYAUoti\\u002fRDDLsoyN2L\\u002fkxEb8\\u002fnjYvzGc1C1sZNi\\u002fRlCBnNVP2L+6xHEhPTvYv1fpzBelJti\\u002fJsLWWBAS2L860HQ2gv3Xv4kqWnT+6Ne\\u002f31QdQInU179WK3soJ8DXv84VCRTdq9e\\u002f3kyVN7CX17+efW4MpoPXvxnTxEbEb9e\\u002fPatNzBBc179\\u002fZ0mrkUjXv\\u002fQ\\u002fABJNNde\\u002fNDXARkki17+PmlugjA\\u002fXvzClHX8d\\u002fda\\u002flVkhRgLr1r83dO9UQdnWvxPTQQHhx9a\\u002fB7bGkOe21r92ErwyW6bWv5NRO\\u002flBlta\\u002fxicQ0qGG1r9evfl+gHfWv4n8O43jaNa\\u002fTFVvTNBa1r8\\u002fX4fES03Wv6cfFKtaQNa\\u002f7v7NVwE01r9IMom4QyjWv\\u002fsfukQlHda\\u002f6o\\u002fA8KgS1r8P2zoh0QjWv\\u002fdOrJ6f\\u002f9W\\u002fQS\\u002fKiRX31b\\u002fzychQM+\\u002fVvy+bBab459W\\u002fxEZseGTh1b\\u002fWBfLtdNvVv1b6fWAn1tW\\u002fVqOMXXjR1b\\u002f+h9GoY83Vv3VEDELkydW\\u002f5L81bvTG1b9qyRfEjcTVv0IhTTypwtW\\u002f84OSRD\\u002fB1b9IOjvWR8DVv5qOhY+6v9W\\u002f0vJ1z46\\u002f1b9CPcvTu7\\u002fVvwbEi9g4wNW\\u002f9OCaOP3A1b9kELmOAMLVv03nRtY6w9W\\u002fme0ci6TE1b8RUMjHNsbVv5eOfmHrx9W\\u002fMuAgAb3J1b\\u002f6\\u002fLI4p8vVv1kwuJSmzdW\\u002fHcn8qLjP1b\\u002fTz2gY3NHVv6zqkpcQ1NW\\u002fWezm6VbW1b83F1LZsNjVvxjmhigh29W\\u002fBWwKgKvd1b88SV1WVODVv+37sNMg49W\\u002f7yy3sRbm1b93ujIYPOnVv8T4CHeX7NW\\u002fZkGkXi\\u002fw1b\\u002fW6IZXCvTVvxCZ9rku+NW\\u002fmoyrhqL81b8AAG1BawHWvyhcfM6NBta\\u002f7iqjUw4M1r\\u002feFKUd8BHWv1lNv4o1GNa\\u002ft3PC+t8e1r+3qDPF7yXWv\\u002f0mvjVkLda\\u002fHeEYjzs11r87a1wUcz3Wvzi6nRgHRta\\u002fXQJ7FPNO1r9PNyLBMVjWv+hVNTi9Yda\\u002fE6HQF49r1r+SLdupoHXWv5BAsw3rf9a\\u002fncU2Y2eK1r9K+xz2DpXWv7jLkWjbn9a\\u002f90cF3Maq1r8leSoXzLXWvxQLMKjmwNa\\u002fF\\u002fNSAhPM1r8OqQaWTtfWv4w0D+OX4ta\\u002fVnMOhO7t1r8ZuS4zU\\u002fnWvzk8wMfHBNe\\u002f+qTLLE8Q178tZMlQ7RvXv9MO2g6nJ9e\\u002f6L4GEoIz1794RTizhD\\u002fXv1rJt9K1S9e\\u002fn0UqrhxY17+kaBG0wGTXv5zd7lWpcde\\u002ftYUy2t1+17\\u002fzMCAvZYzXv1HO1b9Fmte\\u002faNCPTIWo178D2DbHKLfXv5L7JzU0xte\\u002fhMkIl6rV17\\u002f5LlLXjeXXv\\u002fCdEsDe9de\\u002fcTI5+JwG2L8kU4oIxxfYv2yZK2haKdi\\u002fxfmBkFM72L+MfusXrk3Yv3O2rtJkYNi\\u002f4YBO+XFz2L90TUpTz4bYvwhHMmV2mti\\u002fNCXdoGCu2L9FTHuWh8LYvzAIOSXl1ti\\u002fEXMgqnPr2L+GH\\u002fMrLgDZvzvew4IQFdm\\u002fAqMxehcq2b9dJkXtQD\\u002fZv+SvGtuLVNm\\u002fh46vc\\u002fhp2b9FFF4ciH\\u002fZvw8vyms9ldm\\u002fH5s6HRyr2b89sZX7KMHZv\\u002f1\\u002fc8Rp19m\\u002fqKrvA+Xt2b+W8RrqoQTav5fdHBuoG9q\\u002flnNAe\\u002f8y2r9t3En4r0rav5GGjVHBYtq\\u002fLJhS4Dp72r8S7BFiI5TavwrqH8aArdq\\u002fGitCAFjH2r\\u002fIJZrhrOHavx13LPmB\\u002fNq\\u002fLmYhfdgX278g3qc9sDPbv7FpKaIHUNu\\u002f3hE9sdts27+314EjKIrbv0WEQYHnp9u\\u002fe25zShPG279xcm4opOTbv1B4UyiSA9y\\u002fMF74\\u002fNQi3L8Yn99GZELcv4I\\u002fleA3Yty\\u002fktyeLUiC3L+dbwxqjqLcv01+ovgEw9y\\u002fysiNrafj3L\\u002fulJQTdATdv8OqyqlpJd2\\u002fStPqF4pG3b8txqJX2Wfdv2MwVNFdid2\\u002fN9cNayCr3b8cg8mILM3dv1HKTP2P792\\u002fGzxi61oS3r\\u002fx53uXnzXev0mvLSpyWd6\\u002fiRdLZOh93r+hN89FGaPev9q0C6kcyd6\\u002fkG7r0wrw3r93eVwB\\u002fBffvxOQMeUHQd+\\u002fWYX7LEVr379yOX4AyZbfv6H6eISmw9+\\u002fXF9\\u002fYu7x37+mjkos1xDgvy2Nkml4KeC\\u002fLSXhSd5C4L8uQXQzCl3gv1OoVnX7d+C\\u002fNDv\\u002fM6+T4L9zQddfILDgv3saFbZHzeC\\u002fy2sizBvr4L\\u002f0k4wlkQnhv3TxRFSaKOG\\u002fIby9IihI4b9mCTnHKWjhv25cax+NiOG\\u002fMg5j8z6p4b97CHs+K8rhvxzF+nw96+G\\u002fviXo\\u002fGAM4r+aQnowgS3i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hp7u5k0T\\u002f578sJNVLRPw28ziFAP9E\\u002f03PlbRQs0T93nKL+thjRPyApZp0tBdE\\u002fFepAp37x0D+KdyTksN3QPyr7i1vLydA\\u002fmdXWJ9W10D9NGZJJ1aHQP9g46XvSjdA\\u002fYFdpC9N50D\\u002fZ3S2w3GXQPw38cGz0UdA\\u002fVGtYcB4+0D9vI68DXirQP9fbEHa1FtA\\u002fMmfdFSYD0D82\\u002fTJcYN\\u002fPPw+BYxamuM8\\u002fH5rJDBqSzz8zldcut2vPPzvdnNd2Rc8\\u002flvlTBlEfzz8bBCWfPPnOP09aN7Iv084\\u002fO1oHxx+tzj+cu90pAofOPwIDPjnMYM4\\u002fb7QosXM6zj859yPy7hPOP9GOIUI17c0\\u002f7UaKBT\\u002fGzT+uw\\u002fPuBZ\\u002fNP\\u002fdLTCSFd80\\u002fi6KWWLlPzT9HJKTZoCfNP+zTkpE7\\u002f8w\\u002fOlgt\\u002fIrWzD9LzqEQkq3MP6FTVyBVhMw\\u002fVBj3q9lazD88jgIwJjHMP1gUi+pBB8w\\u002f+b7OmzTdyz9cWKBDBrPLP3uJld2+iMs\\u002f2L78HWZeyz9PtZQxAzTLP2bg6YGcCcs\\u002fFLUagDffyj\\u002fsSZR32LTKPycFHmqCiso\\u002f4tRG9jZgyj9sjvpI9jXKPwehtBq\\u002fC8o\\u002fynxwuI7hyT95OSIYYbfJP5h+Lfgwjck\\u002fW7v\\u002fCPhiyT+\\u002fl6cfrzjJP788AHBODsk\\u002ff3jNzM3jyD92dPfrJLnIPxv38qxLjsg\\u002fuvhOXzpjyD\\u002f9QVoH6jfIP8oY3J5UDMg\\u002f4X\\u002fxT3Xgxz9hvUSoSLTHP5XSBcPMh8c\\u002f2A9HaAFbxz8gcacg6C3HPyYegzyEAMc\\u002feTw3ztrSxj8zBF+X8qTGP+1kSunTdsY\\u002fmSFIeYhIxj\\u002fev7MpGxrGP7SrCMmX68U\\u002fWluFyAq9xT+LECnsgI7FPz9QC\\u002fYGYMU\\u002fptgzT6kxxT9OmjOwcwPFP9Q8ystw1cQ\\u002fg5jf\\u002famnxD+BQgUBJ3rEPxQ1kqztTMQ\\u002fRHk6vQEgxD\\u002fgo8epZPPDPwpnToUVx8M\\u002f6inr7xCbwz+hkLUWUW\\u002fDP2VRO8PNQ8M\\u002fXgZwenwYwz+YUZyqUO3CP98jdec7wsI\\u002fYr8mMy6Xwj82hchSFmzCP1P4YCziQMI\\u002fWKdeLH8Vwj\\u002fsnjSw2unBP+4SoXPivcE\\u002fmjAM\\u002foSRwT++PmQNsmTBP1Or4\\u002ftaN8E\\u002feFVFHnMJwT+6zRIY8NrAP3yS7iPKq8A\\u002fezwATvx7wD8cjfiehEvAP4l5fTZkGsA\\u002fOf5gqD7Rvz+x1tKdemy\\u002fP6OZVfSQBr8\\u002f08OB9Jufvj\\u002fp48oPuze+P2TxT0kSz70\\u002fsORug8llvT+fMP+1C\\u002fy8P9rNqBEGkrw\\u002f+gFFFecnvD9f9Y+a3b27P605rN8XVLs\\u002ftRkSk8Lquj9tNXvnB4K6P6WsL7UOGro\\u002f\\u002fObNrfmyuT80oDqn5ky5PyrP3gHu57g\\u002fHHe3LSKEuD\\u002fFVgRRjyG4P0cQmhI7wLc\\u002ff6UHiSRgtz\\u002f5DuNORAG3P0GdsruMo7Y\\u002fzQoOQOpGtj9O8b\\u002fiQ+u1P3LC69t7kLU\\u002fiS2KSnA2tT8sSPL\\u002f+9y0PwiYpFz3g7Q\\u002fiVkpOTkrtD+pbY\\u002fVl9KzP0XQ9snpebM\\u002fCyOR8gYhsz9HqaRRyceyP6UgYeINbrI\\u002fqou4V7UTsj9mw+3CpLixPzxhJB7GXLE\\u002fBXbttwgAsT+HQo59YaKwPyX+jCLLQ7A\\u002fPzrNSYzIrz\\u002fmb1RcsQevP63LG6UcRa4\\u002fDZ3AX++ArT\\u002fX3fndU7usP1+CNFZ89Ks\\u002fLwLJhaEsqz\\u002fNobMvAWSqPzEUhIHcmqk\\u002flkTGaHbRqD+HQnLjEQioP3fF+lXwPqc\\u002f4ZRY8U92pj8V+\\u002fYyaq6lP\\u002fyHrYdy56Q\\u002fiJQCGpUhpD9YW87S9VyjP6N4B5KvmaI\\u002f97cPpNPXoT8Vg0x2aRehP4n5OoxuWKA\\u002fc+wdaa01nz8l3KD4GL2dPw+8u7jjRpw\\u002fAoONOMLSmj9D6D7IW2CZP0qHketM75c\\u002f3xpgCip\\u002flj8FHJ5Mgg+VP3MyYo7in5M\\u002fI9QCWNgvkj87CUrG9L6QP7v2iJ6emY4\\u002fPEFaohCyiz8hBde0lsaIP1BW+jai1oU\\u002fr+jN68Hhgj9JQ4h3SM9\\u002fPwrYRx0x0Hk\\u002flr1lZh\\u002fGcz+rZVRIbWJrP0mjqX1jR14\\u002fwo4e6SCKNj9tILmHeSZTvw1m1BLbB2a\\u002fLMeASS5Fcb\\u002fmLBijK4x3v1vbVNSj132\\u002fOllL+ikTgr83vvffgTuFvzZh86BIZIi\\u002f9SjhB\\u002f6Mi7\\u002fbw3fiN7WOv1YOIF5T7pC\\u002fQQw3+oyBkr+Io6mIQRSUv4fxTBx8ppW\\u002fwqBj3Fo4l78DBytLD8qYv00FcwreW5q\\u002f0bKwHR7um7\\u002fphjOsN4Gdv0ueTkmiFZ+\\u002f2fqnZfFVoL\\u002fngHleRCKhv+2QxLsV8KG\\u002fxYcke7O\\u002for9LXYQ6bJGjv6fGA3eNZaS\\u002fpqGsxWE8pb8RxXYQLxamv+\\u002f9DeI086a\\u002fx5eDyqrTp78fIYzmvreovwCKJpKUn6m\\u002fNAWQTkOLqr8aWj7i1Xqrv3vPR7hJbqy\\u002f\\u002f8Usg45lrb\\u002f\\u002femwlhmCuvxbMteAEX6+\\u002fQQl05WgwsL8InUDD07Kwv8loR52aNrG\\u002fxqxk4o+7sb9HHpqPgUGyv7i9vPg5yLK\\u002fXoKiooBPs7+FQBMqG9ezvzOufjLOXrS\\u002fhWhWV17mtL\\u002fRBOcakW21vy1ups0t9LW\\u002fnjonaf55tr8GpjZa0P62v540GzZ1gre\\u002fbLhxV8MEuL90GMJfloW4vwLXkJvPBLm\\u002fz5tpR1aCub8iZh21F\\u002f65v1vKL1EHeLq\\u002fQwEtiR7wur9f7VmUXGa7vwQj2yDG2ru\\u002ftVIM6GRNvL9GfUotR768vw3f5Sp\\u002fLb2\\u002fae1JcSKbvb8jF6g8SQe+v7j0k8UNcr6\\u002f+aoEkYvbvr+TmxfE3kO\\u002fv0wGvX8jq7+\\u002ffsUUpLoIwL9o58A9dzvAvzpcXe3TbcC\\u002fcBCOE9yfwL9GohzrmdHAv8Hnxm4WA8G\\u002fljMiS1k0wb8sRYDcaGXBv9P6bjhKlsG\\u002fe+QbQgHHwb\\u002fOxZrIkPfBv6\\u002fUy636J8K\\u002fcrtlFEBYwr8Ch3mTYYjCv\\u002fjTpG1fuMK\\u002fZZIRyjnowr+YEFvt8BfDv7DIdXCFR8O\\u002fenTKc\\u002fh2w7\\u002flmdTMS6bDv3U0wCyC1cO\\u002fgiC4Pp8ExL\\u002fTAda8pzPEv6XS6nqhYsS\\u002f\\u002fzKjZpORxL9+6dl8hcDEv2qrO7SA78S\\u002fJQyv3Y4exb8qPkB7uk3Fv+QNmI4OfcW\\u002fpUJGYJasxb\\u002fNn19BXdzFvwOTHUluDMa\\u002f+vVPENQ8xr\\u002fsOIdsmG3Gv7cs5izEnsa\\u002fuDOG2l7Qxr9I7EZ+bgLHv5baw233NMe\\u002fDvH\\u002fIPxnx79eJiESfZvHvwDrVqh4z8e\\u002fzeG+LusDyL+JlM3XzjjIvyz0bs0bbsi\\u002faGu+TcijyL+OTOLTyNnIv22hREwQEMm\\u002f7v8VU5BGyb+ABsB7OX3Jv\\u002f1prp\\u002f7s8m\\u002fnbSgMsbqyb8waI2aiCHKv11GAokyWMq\\u002fz+LdU7SOyr8LzzxL\\u002f8TKvyrIgAoG+8q\\u002fdxtywrwwy792YKJ6GWbLvzLJakgUm8u\\u002fYGMeeqfPy79HOFC1zwPMvzJ\\u002fXAeMN8y\\u002fjBm5591qzL9eMOoryZ3Mv\\u002fvRUe1T0My\\u002fB5ZqYYYCzb+FV1OlajTNv3TN4n0MZs2\\u002f4CjDDXmXzb9K\\u002fFWDvsjNv4bqVcDr+c2\\u002fi4lU\\u002fQ8rzr9Ce05rOlzOv0Q1ndV5jc6\\u002fIeqMRty+zr9kd82wbvDOv3l+1588Is+\\u002f7JIz8U9Uz781vFmYsIbPvxrHnG5kuc+\\u002fTq9IEG\\u002fsz7\\u002fO1ePj6A\\u002fQv1gYpMPFKdC\\u002fLeeAeMxD0L97uew2+l3Qv6Tc5ChLeNC\\u002fueGNhrqS0L\\u002fNg5W0Qq3Qvwo2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tJPSzrjSP3DFEyLpptI\\u002f2UmANfyU0j\\u002fJ5pcyAYPSP239ltnwcNI\\u002fFmhTtMNe0j+TirVGckzSP1pKYj\\u002f1OdI\\u002f2Wdop0Un0j+u8MkPXRTSP9jvx7s1AdI\\u002fV8jqxsrt0T\\u002f+Q9xFGNrRP6SuSGEbxtE\\u002flIYhatKx0T\\u002fjdcXmPJ3RPyBrvZhbiNE\\u002f7K3sejBz0T\\u002fylUC4vl3RP5T1GpsKSNE\\u002f+TPfdRky0T+kZDSF8RvRP4NgtcyZBdE\\u002figzq7hnv0D9Rw4EBetjQP\\u002f+P3V7CwdA\\u002fywcJdvuq0D9TskmaLZTQP9ribtNgfdA\\u002fzpwGsJxm0D9HwY8a6E\\u002fQP6ugrjJJOdA\\u002fSaBPK8Ui0D\\u002f9jYQuYAzQPzmEio867M8\\u002fWGgoqvy\\u002fzz8GRbn+B5TPP8nfZXRbaM8\\u002ffPTjlfM8zz9IGAWuyhHPP2WA2\\u002fHY5s4\\u002fvJ5itxS8zj9op0y3cpHOPw\\u002fqUVjmZs4\\u002fEx8lAmI8zj+7uQF21xHOP1QYqCo4580\\u002fVNCHqXW8zT9PyNLqgZHNPw9yPK5PZs0\\u002f4wE\\u002fztI6zT8lZeSLAA\\u002fNP78PQdHP4sw\\u002fqkoKaTm2zD+FBPcpOInMP5+J5xTJW8w\\u002fjRMkZestzD9+x1mSoP\\u002fLP\\u002fpVV0Ts0Ms\\u002f+tDjONShyz+DSGEcYHLLPxIzP1aZQss\\u002fzpmMyooSyz\\u002fJlD2SQOLKP+A98avHsco\\u002fF3kzpy2Byj+2sFdMgFDKP1gZHkPNH8o\\u002fWMlbuiHvyT\\u002fEvNYSir7JP3f+cY8Rjsk\\u002fhx6kDMJdyT9MvwPBoy3JP610fAi9\\u002fcg\\u002fX+J6OxLOyD+4mxOTpZ7IP6SY1hp3b8g\\u002f5CCrsIRAyD9K7LcSyhHIP0ENA\\u002ftA48c\\u002fiykfSOG0xz\\u002fNpekxoYbHP+SwEYl1WMc\\u002fH2Xc\\u002f1Eqxz9mG2B6KfzGP3f3QWTuzcY\\u002fssLdCZOfxj\\u002fGMaryCXHGPyI0ozpGQsY\\u002fExuJ6DsTxj+cHNY+4OPFP3V9awUqtMU\\u002fdLsjyhGExT+BVa4WklPFP+HtWpqnIsU\\u002fVu3CRlHxxD\\u002fBuZBekL\\u002fEPzAX+HVojcQ\\u002f51zKZN9axD8\\u002ftGgq\\u002fSfEPziGLMTL9MM\\u002feYEw91bBwz+gSbEOrI3DP2scgpDZWcM\\u002fHuVN6e4lwz9n7o4S\\u002fPHCP+p9TTQRvsI\\u002fAkXPRD6Kwj9yKG6oklbCP4knzNMcI8I\\u002fNjmM8unvwT8AKJ2UBb3BPyF8\\u002fGN5isE\\u002f0lql5ExYwT+VHyNAhSbBPwjY+h0l9cA\\u002fgFXTiSzEwD8kD\\u002fPnmJPAP+t9V\\u002fhkY8A\\u002f2OxU6IgzwD+L7Vly+gPAP6VfQRZaqb8\\u002f1o6YNiRLvz+NaFSIMu2+P4PFJVxhj74\\u002fYV5fvYoxvj9f3oYqh9O9Pxbv6FUudb0\\u002fZ00K6lcWvT\\u002fz6sRN3La8Pzvn7WOVVrw\\u002fCTqHQl\\u002f1uz8iC73dGJO7P209QaOkL7s\\u002fMnH9AunKuj99CYri0GS6P+WVXPlL\\u002fbk\\u002fYg8uFE+UuT9THa4+1Cm5P3lqMNPavbg\\u002fbUiYcGdQuD\\u002fJ11nXg+G3P9gr864+cbc\\u002fxyfANav\\u002ftj9pM37d4Iy2Py3KNtf6GLY\\u002fNzOXkRektT94vfYsWC61Py2Kcujft7Q\\u002f9ayVi9NAtD+rLf7PWMmzP33LU86VUbM\\u002fkk+1cbDZsj8lVH70zWGyP7+l82gS6rE\\u002fLTcCUKBysT8vv84\\u002fmPuwP+yGXZsYhbA\\u002f9dodXD0PsD+ChUzbPzSvP2nR4jauS64\\u002fdmHlH+5krT8s7M\\u002fHIoCsPxlCzXhqnas\\u002f9pyP6968qj8OlZeyld6pPwnkJLagAqk\\u002fpPC6uw4pqD+z2vfz61GnPwr7d4lCfaY\\u002fyjihKxurpT\\u002frx3eQfdukP4iPBulwDqQ\\u002fAlhtRPxDoz+b9EneJnyiPzMg61X4tqE\\u002fK3OGzHj0oD\\u002fd74DpsDSgP1ZTaolT754\\u002fvbb5btl6nT\\u002fGpi8sBgycPxQLo6fropo\\u002fecD3KZo\\u002fmT\\u002fdSOhkH+KXPyxI0mWFipY\\u002f65P7fNE4lT+lwkgjA+2TP4DBWegSp5I\\u002fsifzcvFmkT+E+kOdhiyQP2fb8mth740\\u002ftfRh3IeQiz\\u002fOU3X2EzyJP\\u002fd8kuOD8YY\\u002fxLdZvUCwhD\\u002f2QyI\\u002fn3eCP8X9+PjgRoA\\u002fuEweBGw6fD9qN\\u002fRJfvN3P0tdYvkgt3M\\u002f0E7R19EGbz9fVS+XvKxmP3N8mxkPuFw\\u002fXvBN\\u002ffBCSD8ajia\\u002fQMgxv7bb8vYJClW\\u002fif5JbcfWYr86+SFkmzFrv9sCeCc\\u002fzHG\\u002fIozcfQkHdr\\u002feaJmYS0p6v7mhSKDtln6\\u002ffSt08s52gb+Pdfh3Z6eDvyzJ+2pb3YW\\u002fvvXy56cYiL89UPkNLVmKv3xUSY+vnoy\\u002f9Qzh2drojr\\u002fnVV7moZuQv65ZRvW1xJG\\u002fMKHPe2Lvkr8LUPl2WhuUv+9VEhhNSJW\\u002ftlgf8ed1lr+KuiEn2aOXv\\u002fEM95zR0Zi\\u002fFAOgCYf\\u002fmb+kCSnttSybv8jvKlgjWZy\\u002fm2Ljep6Enb+kQTXyAa+ev1sdcMo02J+\\u002fVXnBmBWAoL\\u002fExRZqcxOhv4rc6HE7pqG\\u002f84hS4ns4or8XyBMzScqiv\\u002fbo7qS9W6O\\u002fk7kon\\u002fjso7+DEB3rHX6kv+VCsdJUD6W\\u002f0hApJ8egpb88gHs2oDKmvygPuLULxaa\\u002fuZpWpzRYp78eSmtEROynv+bLqu9ggai\\u002ffWXyOK0Xqb9W7qP3Rq+pv80imoFGSKq\\u002fogzJA77iqr9Mz8wAuX6rv0MCvPg7HKy\\u002fxK+PPES7rL8AYmDux1utv5IenC62\\u002fa2\\u002fhsg7dfegrr+mLeYUbkWvv9Ty4uT26q+\\u002flS\\u002fjBrVIsL8\\u002fce\\u002f5TZywv6\\u002fm1Rwv8LC\\u002f+nQDakBEsb93RpqUaZixv8Mr4ZmS7LG\\u002ftyX\\u002fUKRAsr+wdG\\u002f1iJSyv2nRuKgs6LK\\u002f+84m6H07s7\\u002fLnI3zbY6zv3iyfCLx4LO\\u002fCi2yJf8ytL8BIhwzk4S0vy3rOxus1bS\\u002fbiJOR0wmtb\\u002feKi2geXa1vzcfeF49xrW\\u002ffiAZxaMVtr+YsdDHu2S2v\\u002fKW7J+Ws7a\\u002foVrEUUcCt7+3Mvkl4lC3vxMSyBl8n7e\\u002fDQ\\u002f5SSrut7\\u002fXcx1cAT24v4uw3OkUjLi\\u002fupIH8nbbuL+EtghTNyu5v5nQEVJje7m\\u002ft3wYMgXMub\\u002fOeVTdIx26v+X6fqPCbrq\\u002fCLSRDuHAur+erTfPehO7v8EYjcGHZru\\u002faggyCvy5u79m0xlLyA28v8TN6e7ZYby\\u002fM70piRu2vL\\u002fSgAJJdQq9vzw5z3vNXr2\\u002fPtldHAmzvb\\u002f+C2hrDAe+v1D3jo27Wr6\\u002f6Db9Kvutvr8bksMMsQC\\u002fv4zjDrTEUr+\\u002fZE545x+kv79eeusyr\\u002fS\\u002fv9zodysxIsC\\u002fg+JDUpZJwL9Rv6ihgnDAv4orDrDzlsC\\u002fGUJdIem8wL9OpzmlZOLAv4TkjehpB8G\\u002f+k6\\u002fev4rwb8Ehi2nKVDBv9rT7UP0c8G\\u002foZL5dmiXwb\\u002fXXkZzkbrBv9+7dS973cG\\u002fdXf2FzIAwr93YpO+wiLCv0f6f4k5RcK\\u002fysP7Y6Jnwr8AE6ByCIrCv03NWc11rMK\\u002fM7jxQPPOwr8vv9oZiPHCv7I+x\\u002fk5FMO\\u002fVAVGuQw3w7\\u002fu3F5WAlrDv7u21vAafcO\\u002f9uZu1FSgw7+BMxuRrMPDv+fo0SAd58O\\u002fgM5BGqAKxL+wx2XvLS7Ev+k6nza+UcS\\u002fz+S4\\u002fEd1xL\\u002frT\\u002fUdwpjEv+VMGKQjvMS\\u002fRM8yJ2TfxL8jit0ufALFv8tLgZFlJcW\\u002f5thMzxtIxb8g\\u002foZmnGrFv\\u002fd\\u002fCB\\u002fnjMW\\u002f5u7TSv6uxb9bT\\u002fj55tDFv+rPLSCp8sW\\u002fKQPoqk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Fj0D\\u002fHCobNAkHQP2LH6+VNHtA\\u002fzsyICrf2zz+1vB6oZ7DPP8sPveS8ac8\\u002fxJ+V6sQizz+5+JbNjNvOP\\u002f\\u002fXko8glM4\\u002f89F8KItMzj\\u002fQN1GS1gTOP4gIJ9gLvc0\\u002fjmblJzN1zT993g3mUy3NP8\\u002fQCMN05cw\\u002frIxg0ZudzD\\u002fMCFqczlXMP1mKXz4SDsw\\u002ffry5dmvGyz8Nfx6+3n7LP+i5qVlwN8s\\u002ft3XjayTwyj8o9oYD\\u002f6jKP4Mw0CcEYso\\u002fPE0n4jcbyj\\u002frfBRFntTJP\\u002f3deHA7jsk\\u002fJRIbkxNIyT+1DqfpKgLJP6FJULuFvMg\\u002f3VJTVCh3yD875p\\u002f+FjLIP89O\\u002fvhV7cc\\u002f4mcKbemoxz9VfGNk1WTHP\\u002f6wcr0dIcc\\u002fyYUpIMbdxj+JWxfz0ZrGP6nwL1FEWMY\\u002f9JeVACAWxj\\u002fXwrBqZ9TFP5iY05Uck8U\\u002f\\u002fwmcIEFSxT8oczk\\u002f1hHFPx3ErLrc0cQ\\u002fN7QL8lSSxD\\u002ftEMHdPlPEP6UlthSaFMQ\\u002fKN9D02XWwz+\\u002fAb4DoZjDP+PWX0hKW8M\\u002ff2NYBmAewz9duqxx4OHCP4iDoZnJpcI\\u002f1nhZdRlqwj+AcVXwzS7CP9Kmg\\u002fbk88E\\u002f1RePf1y5wT9HPiWZMn\\u002fBP1eA729lRcE\\u002fW74GV\\u002fMLwT+9ybHN2tLAP1U5S4MamsA\\u002fvpw3WbFhwD9QM+JininAP+RYh8fB478\\u002foHkHl\\u002fB0vz8KUaZgyAa\\u002fP3DhT49Imb4\\u002fAZQgu3Asvj8RObWVQMC9P4iUsdS3VL0\\u002fSkUWG9bpvD\\u002faMwfimn+8P8Dip2EFFrw\\u002fJN2yehStuz\\u002fLE22hxkS7P5RWjcoZ3bo\\u002fBn2jWgt2uj9+gHoYmA+6P2U83SK8qbk\\u002f1iwP6nJEuT9H9TEtt9+4Pz9RtvuCe7g\\u002fZP3bus8XuD\\u002fA2igvlrS3PzS6pInOUbc\\u002fD5iNeHDvtj9mQiA7c422P8AQ\\u002fLfNK7Y\\u002fmAyWlXbKtT\\u002fTLSFUZGm1P\\u002fuFRmiNCLU\\u002f9LMBVuintD+o7\\u002fPKa0e0P8+HgrcO57M\\u002fG8IcZsiGsz+GjhCQkCazPxMoZW9fxrI\\u002f6DJGzS1msj+UtaAM9QWyP6rerDCvpbE\\u002fdEU731ZFsT8ihble5+SwP4D4\\u002f49chLA\\u002foDgY5LIjsD\\u002fzBJKczoWvPyojn2Xuw64\\u002f+hiPpcABrj\\u002fXS7FrQT+tPxPbpiRtfKw\\u002fJN7paEC5qz+3byTLt\\u002fWqP12n4qfPMao\\u002fyysp+INtqT\\u002fy8G0o0KioPwkbWvWu46c\\u002f7T6bTxoepz8+6N9HC1imP65X6AN6kaU\\u002f9uNZvV3KpD9NpMLKrAKkP+mN9bJcOqM\\u002f2aGeSmJxoj8f7aTbsaehP6PXplU\\u002f3aA\\u002fyGGWhv4RoD\\u002ft0HC0xoueP5QnGz7E8Zw\\u002fXOftnd9Vmz+JCHqzBLiZP52C\\u002ft4hGJg\\u002fQGz7kSh2lj8\\u002f70vXDdKUP+WBpM7KK5M\\u002fn6Z4F12DkT+fuRhPjrGPPxxuoRMhWIw\\u002fgrw+BYz6iD+zOugt85iFP9aNxumEM4I\\u002f+\\u002fXy8PKUfT\\u002fRvSecJLx2P1r26JJkum8\\u002fD4OrRXvxYT+1gBkBnntAP1BKIxvYd1O\\u002fJRcAP4udZ7\\u002fkmNQIQMJyv+iBYlGtt3m\\u002fKLF9WS5XgL+SELRZ1NKDvyfU2Zh9Toe\\u002fDfM5o+jJir88IKpu30SOv+L1oHuc35C\\u002f2T\\u002fnT22ckr\\u002f8X0il3FiUv2kp7w\\u002ftFJa\\u002fDmjGfKnQl7\\u002fe+c01JYyZv+m8LLJ7R5u\\u002frZsXMNACnb\\u002f1VbQXTb6ev16gnZMRPaC\\u002fsi7gNEQbob8i\\u002fZl92\\u002fmhv4i0p8712KK\\u002f\\u002f3weEbK4o78xnWrZLpmkvww7oHuJeqW\\u002fjorSFN1cpr+aN6KNQUCnv\\u002fS8fZrKJKi\\u002fmq9DvoYKqb84OhZUfvGpvx3lNqWy2aq\\u002fdLexDx3Dq7+oanZCrq2sv+c8PpNNma2\\u002f1oVFctiFrr\\u002fC+nL\\u002fIXOvv9+MAmJ5MLC\\u002feGSlSYSnsL9xriRKix6xv5VmwbpilbG\\u002fSxqr5dkLsr8\\u002fD1tMu4Gyv+KtlwDN9rK\\u002fQtk9EdFqs78ZypAJht2zv7ZUeIGnTrS\\u002fQwrDvO69tL9yBTdXEyu1vxb3+vrLlbW\\u002fR4mqHs\\u002f9tb9Fkz7I02K2vzPU01GSxLa\\u002fDKRKLcUit7+BtrejKX23vwLIqY2A07e\\u002fg8NhAY8luL\\u002fKLUL0HnO4vyvF7sz\\u002fu7i\\u002fI1jV4wYAub+KrSPwDz+5v5+Xgl\\u002f9eLm\\u002fglJKl7itub+\\u002fbkYeMt25vzvWha5hB7q\\u002f4A8cL0Ysur9nuiGW5Uu6v6NRqbNMZrq\\u002fmrPA5o57ur+UpPW9xYu6v+T3KYUQl7q\\u002fC2XRwpOdur\\u002fA+vWmeJ+6v6RWl27snLq\\u002f0kcjvh+Wur\\u002fxjOP1RYu6v318S4OUfLq\\u002fqGMRMkJqur8FYPJ\\u002fhlS6v1\\u002fF5PWYO7q\\u002fkG9VibAfur8qjtgHAwG6v6myd4\\u002fE37m\\u002fn4d+FSe8ub8YI1f9WZa5vw0UsMCJbrm\\u002fwubKqd9Eub\\u002feynOggRm5v8MzxAmS7Li\\u002fPKV0ui++uL\\u002fkQif7dY64v\\u002f73vp18Xbi\\u002fDM2HIlgruL+z063rGfi3v7A9Qn3Qw7e\\u002fxezax4eOt7\\u002fm4rB7SVi3v9gkBmIdIbe\\u002f5TmMugnptr87lYGaE7C2vx2\\u002fRUs\\u002fdra\\u002fwZE5ppA7tr+xsOFrCwC2v6CTbJSzw7W\\u002f3gTyl42Gtb\\u002fIb\\u002f6snki1v3ppP\\u002fzsCbW\\u002fW+BuyH\\u002fKtL9bruWJX4q0v\\u002fYzi\\u002f2VSbS\\u002fvWckJy4ItL8wvk9HNMazv5vLwsW1g7O\\u002fbwyhEMFAs79nYv9xZf2yvw9h3NyyubK\\u002feGIBs7l1sr+6v2KFijGyv07RrdA17bG\\u002fYCbBt8uosb\\u002fSlc69W2SxvzV+34H0H7G\\u002foRtifaPbsL\\u002fH10vHdJewv\\u002fq2ON1yU7C\\u002fGXTEc6YPsL\\u002feW0+eLJivv4\\u002f610mOEa+\\u002fs5acDneLrr9sjlG15wWuv6PD\\u002fancgK2\\u002fbpwOD078rL+aMqfjL3isvx3q9zty9Ku\\u002fUScDigFxq7+UStf0xu2qv3Vh97uoaqq\\u002fNfVspIrnqb97Qc9sTmSpv\\u002fvXb0XU4Ki\\u002f\\u002frvSSftcqL+\\u002fTKD4odinvzyEWaemU6e\\u002fgDVC7+fNpr+g1y8RRUemv5BgNE6ev6W\\u002fzL9xM9U2pb90dsHXzKykvzERQgpqIaS\\u002fuFFHcZOUo7\\u002fp15aZMQajv6JdR\\u002fYudqK\\u002feFQB0nfkob86UcIy+lChv9SvnrGlu6C\\u002fCQdMSGskoL8msQItehafvwa020Ic4J2\\u002fksxWH6SlnL9diErI+Wabv0EO3XQFJJq\\u002f2Z3pDa\\u002fcmL9AA7q63ZCXv7kcUX53QJa\\u002fwjYI6WDrlL\\u002fZc6vhfJGTv+GQlYisMpK\\u002fQoGNNs\\u002fOkL9rvLowhcuOvzpXjs7F7ou\\u002fIupMexYHib8PSnYMLBSGv8g\\u002fnwe7FYO\\u002fN\\u002fFe3HgLgL87FeeCOup5v2wmG1nHpHO\\u002fx4wCbTOMar9EYh0XAzdbv01WUbg8rg2\\u002f0hDo433FWT9k6qSgUXFqP\\u002fZNjz6cGnQ\\u002f+yA9QjsXez+KKSo2NReBPwQ+3xD4r4Q\\u002fLk+T8rlViD98I00ZPwiMP0DCkHk8x48\\u002fNxq3IizJkT8JKR9glbSTP7bXS66fpZU\\u002fqYQVEAuclz\\u002foCbejkpeZPw0sqJDtl5s\\u002fYn3ZDNCcnT8ejgV07KWfP2AaoDV62aA\\u002f5FFBBc3hoT9Bi9aCyOuiP+iQK+dH96M\\u002f8bjnUygEpT8lsm1TSRKmP1\\u002fbjkuNIac\\u002frhVE4NkxqD\\u002fS5+1DGEOpP9jF\\u0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OcDzGeEtO\\u002f9WeHEo8A07\\u002fgxvSAj+7SvxYnyuSc3NK\\u002fhcAkj7PK0r+ttJPSzrjSv3DFEyLpptK\\u002f2UmANfyU0r\\u002fJ5pcyAYPSv239ltnwcNK\\u002fFmhTtMNe0r+TirVGckzSv1pKYj\\u002f1OdK\\u002f2Wdop0Un0r+u8MkPXRTSv9jvx7s1AdK\\u002fV8jqxsrt0b\\u002f+Q9xFGNrRv6SuSGEbxtG\\u002flIYhatKx0b\\u002fjdcXmPJ3RvyBrvZhbiNG\\u002f7K3sejBz0b\\u002fylUC4vl3Rv5T1GpsKSNG\\u002f+TPfdRky0b+kZDSF8RvRv4NgtcyZBdG\\u002figzq7hnv0L9Rw4EBetjQv\\u002f+P3V7CwdC\\u002fywcJdvuq0L9TskmaLZTQv9ribtNgfdC\\u002fzpwGsJxm0L9HwY8a6E\\u002fQv6ugrjJJOdC\\u002fSaBPK8Ui0L\\u002f9jYQuYAzQvzmEio867M+\\u002fWGgoqvy\\u002fz78GRbn+B5TPv8nfZXRbaM+\\u002ffPTjlfM8z79IGAWuyhHPv2WA2\\u002fHY5s6\\u002fvJ5itxS8zr9op0y3cpHOvw\\u002fqUVjmZs6\\u002fEx8lAmI8zr+7uQF21xHOv1QYqCo4582\\u002fVNCHqXW8zb9PyNLqgZHNvw9yPK5PZs2\\u002f4wE\\u002fztI6zb8lZeSLAA\\u002fNv78PQdHP4sy\\u002fqkoKaTm2zL+FBPcpOInMv5+J5xTJW8y\\u002fjRMkZestzL9+x1mSoP\\u002fLv\\u002fpVV0Ts0Mu\\u002f+tDjONShy7+DSGEcYHLLvxIzP1aZQsu\\u002fzpmMyooSy7\\u002fJlD2SQOLKv+A98avHscq\\u002fF3kzpy2Byr+2sFdMgFDKv1gZHkPNH8q\\u002fWMlbuiHvyb\\u002fEvNYSir7Jv3f+cY8Rjsm\\u002fhx6kDMJdyb9MvwPBoy3Jv610fAi9\\u002fci\\u002fX+J6OxLOyL+4mxOTpZ7Iv6SY1hp3b8i\\u002f5CCrsIRAyL9K7LcSyhHIv0ENA\\u002ftA48e\\u002fiykfSOG0x7\\u002fNpekxoYbHv+SwEYl1WMe\\u002fH2Xc\\u002f1Eqx79mG2B6KfzGv3f3QWTuzca\\u002fssLdCZOfxr\\u002fGMaryCXHGvyI0ozpGQsa\\u002fExuJ6DsTxr+cHNY+4OPFv3V9awUqtMW\\u002fdLsjyhGExb+BVa4WklPFv+HtWpqnIsW\\u002fVu3CRlHxxL\\u002fBuZBekL\\u002fEvzAX+HVojcS\\u002f51zKZN9axL8\\u002ftGgq\\u002fSfEvziGLMTL9MO\\u002feYEw91bBw7+gSbEOrI3Dv2scgpDZWcO\\u002fHuVN6e4lw79n7o4S\\u002fPHCv+p9TTQRvsK\\u002fAkXPRD6Kwr9yKG6oklbCv4knzNMcI8K\\u002fNjmM8unvwb8AKJ2UBb3BvyF8\\u002fGN5isG\\u002f0lql5ExYwb+VHyNAhSbBvwjY+h0l9cC\\u002fgFXTiSzEwL8kD\\u002fPnmJPAv+t9V\\u002fhkY8C\\u002f2OxU6IgzwL+L7Vly+gPAv6VfQRZaqb+\\u002f1o6YNiRLv7+NaFSIMu2+v4PFJVxhj76\\u002fYV5fvYoxvr9f3oYqh9O9vxbv6FUudb2\\u002fZ00K6lcWvb\\u002fz6sRN3La8vzvn7WOVVry\\u002fCTqHQl\\u002f1u78iC73dGJO7v209QaOkL7u\\u002fMnH9AunKur99CYri0GS6v+WVXPlL\\u002fbm\\u002fYg8uFE+Uub9THa4+1Cm5v3lqMNPavbi\\u002fbUiYcGdQuL\\u002fJ11nXg+G3v9gr864+cbe\\u002fxyfANav\\u002ftr9pM37d4Iy2vy3KNtf6GLa\\u002fNzOXkRektb94vfYsWC61vy2Kcujft7S\\u002f9ayVi9NAtL+rLf7PWMmzv33LU86VUbO\\u002fkk+1cbDZsr8lVH70zWGyv7+l82gS6rG\\u002fLTcCUKBysb8vv84\\u002fmPuwv+yGXZsYhbC\\u002f9dodXD0PsL+ChUzbPzSvv2nR4jauS66\\u002fdmHlH+5krb8s7M\\u002fHIoCsvxlCzXhqnau\\u002f9pyP6968qr8OlZeyld6pvwnkJLagAqm\\u002fpPC6uw4pqL+z2vfz61Gnvwr7d4lCfaa\\u002fyjihKxurpb\\u002frx3eQfdukv4iPBulwDqS\\u002fAlhtRPxDo7+b9EneJnyivzMg61X4tqG\\u002fK3OGzHj0oL\\u002fd74DpsDSgv1ZTaolT756\\u002fvbb5btl6nb\\u002fGpi8sBgycvxQLo6fropq\\u002fecD3KZo\\u002fmb\\u002fdSOhkH+KXvyxI0mWFipa\\u002f65P7fNE4lb+lwkgjA+2Tv4DBWegSp5K\\u002fsifzcvFmkb+E+kOdhiyQv2fb8mth742\\u002ftfRh3IeQi7\\u002fOU3X2EzyJv\\u002fd8kuOD8Ya\\u002fxLdZvUCwhL\\u002f2QyI\\u002fn3eCv8X9+PjgRoC\\u002fuEweBGw6fL9qN\\u002fRJfvN3v0tdYvkgt3O\\u002f0E7R19EGb79fVS+XvKxmv3N8mxkPuFy\\u002fXvBN\\u002ffBCSL8ajia\\u002fQMgxP7bb8vYJClU\\u002fif5JbcfWYj86+SFkmzFrP9sCeCc\\u002fzHE\\u002fIozcfQkHdj\\u002feaJmYS0p6P7mhSKDtln4\\u002ffSt08s52gT+Pdfh3Z6eDPyzJ+2pb3YU\\u002fvvXy56cYiD89UPkNLVmKP3xUSY+vnow\\u002f9Qzh2drojj\\u002fnVV7moZuQP65ZRvW1xJE\\u002fMKHPe2Lvkj8LUPl2WhuUP+9VEhhNSJU\\u002ftlgf8ed1lj+KuiEn2aOXP\\u002fEM95zR0Zg\\u002fFAOgCYf\\u002fmT+kCSnttSybP8jvKlgjWZw\\u002fm2Ljep6EnT+kQTXyAa+eP1sdcMo02J8\\u002fVXnBmBWAoD\\u002fExRZqcxOhP4rc6HE7pqE\\u002f84hS4ns4oj8XyBMzScqiP\\u002fbo7qS9W6M\\u002fk7kon\\u002fjsoz+DEB3rHX6kP+VCsdJUD6U\\u002f0hApJ8egpT88gHs2oDKmPygPuLULxaY\\u002fuZpWpzRYpz8eSmtEROynP+bLqu9ggag\\u002ffWXyOK0XqT9W7qP3Rq+pP80imoFGSKo\\u002fogzJA77iqj9Mz8wAuX6rP0MCvPg7HKw\\u002fxK+PPES7rD8AYmDux1utP5IenC62\\u002fa0\\u002fhsg7dfegrj+mLeYUbkWvP9Ty4uT26q8\\u002flS\\u002fjBrVIsD8\\u002fce\\u002f5TZywP6\\u002fm1Rwv8LA\\u002f+nQDakBEsT93RpqUaZixP8Mr4ZmS7LE\\u002ftyX\\u002fUKRAsj+wdG\\u002f1iJSyP2nRuKgs6LI\\u002f+84m6H07sz\\u002fLnI3zbY6zP3iyfCLx4LM\\u002fCi2yJf8ytD8BIhwzk4S0Py3rOxus1bQ\\u002fbiJOR0wmtT\\u002feKi2geXa1PzcfeF49xrU\\u002ffiAZxaMVtj+YsdDHu2S2P\\u002fKW7J+Ws7Y\\u002foVrEUUcCtz+3Mvkl4lC3PxMSyBl8n7c\\u002fDQ\\u002f5SSrutz\\u002fXcx1cAT24P4uw3OkUjLg\\u002fupIH8nbbuD+EtghTNyu5P5nQEVJje7k\\u002ft3wYMgXMuT\\u002fOeVTdIx26P+X6fqPCbro\\u002fCLSRDuHAuj+erTfPehO7P8EYjcGHZrs\\u002faggyCvy5uz9m0xlLyA28P8TN6e7ZYbw\\u002fM70piRu2vD\\u002fSgAJJdQq9Pzw5z3vNXr0\\u002fPtldHAmzvT\\u002f+C2hrDAe+P1D3jo27Wr4\\u002f6Db9Kvutvj8bksMMsQC\\u002fP4zjDrTEUr8\\u002fZE545x+kvz9eeusyr\\u002fS\\u002fP9zodysxIsA\\u002fg+JDUpZJwD9Rv6ihgnDAP4orDrDzlsA\\u002fGUJdIem8wD9OpzmlZOLAP4TkjehpB8E\\u002f+k6\\u002fev4rwT8Ehi2nKVDBP9rT7UP0c8E\\u002foZL5dmiXwT\\u002fXXkZzkbrBP9+7dS973cE\\u002fdXf2FzIAwj93YpO+wiLCP0f6f4k5RcI\\u002fysP7Y6Jnwj8AE6ByCIrCP03NWc11rMI\\u002fM7jxQPPOwj8vv9oZiPHCP7I+x\\u002fk5FMM\\u002fVAVGuQw3wz\\u002fu3F5WAlrDP7u21vAafcM\\u002f9uZu1FSgwz+BMxuRrMPDP+fo0SAd58M\\u002fgM5BGqAKxD+wx2XvLS7EP+k6nza+UcQ\\u002fz+S4\\u002fEd1xD\\u002frT\\u002fUdwpjEP+VMGKQjvMQ\\u002fRM8yJ2TfxD8jit0ufALFP8tLgZFlJcU\\u002f5thMzxtIxT8g\\u002foZmnGrFP\\u002fd\\u00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CUy4Pt4r87tUEDeN\\u002fiv8\\u002fid9F80eK\\u002fBOKveYzD4r8+yZ8AobXiv\\u002fnBp060p+K\\u002f2kQiU8CZ4r8LnsEnv4vivxjCJDOrfeK\\u002fdOfSSX9v4r\\u002f3vtfMNmHiv7o9ScXNUuK\\u002fAU8T\\u002fEBE4r\\u002fh9XwNjjXivyvP9HezJuK\\u002fFtvPpbAX4r+FRcTxhQjiv4HJCaY0+eG\\u002fgIMp9r7p4b+4x6bzJ9rhv54cyX1zyuG\\u002f2BTsLKa64b8DxdM5xarhv7Ffm2HWmuG\\u002fMZfmxt+K4b9pWA3R53rhv67uAwr1auG\\u002f+XTH+w1b4b9JihcOOUvhv+yUQmV8O+G\\u002fM5zBwt0r4b+AIVRoYhzhv93AO\\u002f4ODeG\\u002fXS4jfef94L8e5yQc7+7gvwc3TEMo4OC\\u002fdq3PgpTR4L8cbiePNMPgv1erBEIIteC\\u002fYLcSoA6n4L85J07jRZngv+AlpImri+C\\u002ffepzZzx+4L8c1Ha99HDgvxJzgVHQY+C\\u002fOSaBicpW4L8INQ+I3kngv1Gq60kHPeC\\u002fBr+vwz8w4L8DYAn\\u002fgiPgv94p1zbMFuC\\u002fEOeF8RYK4L9uyDsyvvrfv1LX\\u002fSBC4d+\\u002f5PO5irPH379Ogkp9Da7fvxuNFE5MlN+\\u002fznkcp216378aLPeLcGDfv\\u002fURqVZVRt+\\u002flLa0rB0s379AH8hszBHfv+9IopVl996\\u002fx7DvJu7c3r9REP38a8Lev5axOajlp96\\u002fi3WWQWKN3r8Ce9s86XLevwccFDqCWN6\\u002fd7Av1zQ+3r+MXu2CCCTevzaRGlIECt6\\u002f+u4W2C7w3b9siHYDjtbdv1AnfP8mvd2\\u002f1w0DG\\u002f6j3b\\u002fi\\u002fEm1Fovdv8H96TBzct2\\u002fkDEb7RRa3b8M0kFF\\u002fEHdv0OalpYoKt2\\u002fYumYS5gS3b+V\\u002fNbsSPvcv6NfejY35Ny\\u002fwdXsMV\\u002fN3L\\u002ftC9VSvLbcv+nImpZJoNy\\u002fs0qYpQGK3L8UMxr13nPcv\\u002fLEUOnbXdy\\u002fuhZc9vJH3L+t9Ki\\u002fHjLcvyMI5TRaHNy\\u002fqOzlq6AG3L8hhPf27fDbvxlhIXc+29u\\u002fULwQKo\\u002fF278AT3Oz3a\\u002fbv\\u002frHrmEomtu\\u002fAZD\\u002fLW6E279Ebie4rm7bv6+W8D3qWNu\\u002fNhjjjiFD27+y6KD8VS3bv1hxb0iJF9u\\u002f3h6Ejr0B27\\u002fYzbMv9evav+TPKroy1tq\\u002f9bDU0XjA2r\\u002f86xcZyqrav9OVghopldq\\u002fpvz5M5h\\u002f2r+8tvCDGWrav9cZFdmuVNq\\u002fLCDWpFk\\u002f2r8A9gbxGirav4Fp0ljzFNq\\u002fnOcXBeP\\u002f2b96NzSs6erZv0llIZUG1tm\\u002f7djDnTjB2b8s+SZEfqzZv+5wWrLVl9m\\u002fI5WSzDyD2b\\u002fp1yJBsW7Zv1Le4JkwWtm\\u002faNB5TrhF2b8E3EHXRTHZv7iPB8DWHNm\\u002fm4B5umgI2b9PXLSv+fPYvxrEmdCH39i\\u002f9bOcpBHL2L\\u002fmVb4WlrbYv0t\\u002fhYAUoti\\u002fRDDLsoyN2L\\u002fnxEb8\\u002fnjYvzOc1C1sZNi\\u002fSlCBnNVP2L++xHEhPTvYv1npzBelJti\\u002fKMLWWBAS2L890HQ2gv3Xv4wqWnT+6Ne\\u002f4VQdQInU179YK3soJ8DXv9MVCRTdq9e\\u002f4UyVN7CX17+hfW4MpoPXvx3TxEbEb9e\\u002fQatNzBBc17+DZ0mrkUjXv\\u002fc\\u002fABJNNde\\u002fOTXARkki17+SmlugjA\\u002fXvzKlHX8d\\u002fda\\u002fllkhRgLr1r85dO9UQdnWvxbTQQHhx9a\\u002fCrbGkOe21r93ErwyW6bWv5VRO\\u002flBlta\\u002fyCcQ0qGG1r9hvfl+gHfWv438O43jaNa\\u002fUVVvTNBa1r9BX4fES03Wv6ofFKtaQNa\\u002f7v7NVwE01r9LMom4QyjWv\\u002fwfukQlHda\\u002f7I\\u002fA8KgS1r8V2zoh0QjWv\\u002flOrJ6f\\u002f9W\\u002fRS\\u002fKiRX31b\\u002f3ychQM+\\u002fVvzWbBab459W\\u002fx0ZseGTh1b\\u002fbBfLtdNvVv1r6fWAn1tW\\u002fWaOMXXjR1b8CiNGoY83Vv3hEDELkydW\\u002f6L81bvTG1b9ryRfEjcTVv0QhTTypwtW\\u002f9YOSRD\\u002fB1b9NOjvWR8DVv56OhY+6v9W\\u002f1PJ1z46\\u002f1b9DPcvTu7\\u002fVvwrEi9g4wNW\\u002f9eCaOP3A1b9nELmOAMLVv1DnRtY6w9W\\u002fne0ci6TE1b8XUMjHNsbVv5uOfmHrx9W\\u002fNuAgAb3J1b\\u002f8\\u002fLI4p8vVv1wwuJSmzdW\\u002fIMn8qLjP1b\\u002fVz2gY3NHVv6zqkpcQ1NW\\u002fW+zm6VbW1b86F1LZsNjVvxnmhigh29W\\u002fB2wKgKvd1b8+SV1WVODVv\\u002fD7sNMg49W\\u002f8Sy3sRbm1b95ujIYPOnVv8b4CHeX7NW\\u002faUGkXi\\u002fw1b\\u002fY6IZXCvTVvxKZ9rku+NW\\u002fm4yrhqL81b8BAG1BawHWvytcfM6NBta\\u002f8CqjUw4M1r\\u002fgFKUd8BHWv1xNv4o1GNa\\u002fu3PC+t8e1r+4qDPF7yXWvwEnvjVkLda\\u002fHuEYjzs11r89a1wUcz3Wvzy6nRgHRta\\u002fXQJ7FPNO1r9PNyLBMVjWv+lVNTi9Yda\\u002fFqHQF49r1r+TLdupoHXWv5JAsw3rf9a\\u002fnsU2Y2eK1r9L+xz2DpXWv7nLkWjbn9a\\u002f+EcF3Maq1r8meSoXzLXWvxgLMKjmwNa\\u002fGfNSAhPM1r8SqQaWTtfWv480D+OX4ta\\u002fWHMOhO7t1r8auS4zU\\u002fnWvzs8wMfHBNe\\u002f\\u002faTLLE8Q178vZMlQ7RvXv9cO2g6nJ9e\\u002f674GEoIz1797RTizhD\\u002fXv17Jt9K1S9e\\u002foEUqrhxY17+laBG0wGTXv5\\u002fd7lWpcde\\u002fuYUy2t1+17\\u002f1MCAvZYzXv1XO1b9Fmte\\u002fatCPTIWo178F2DbHKLfXv5X7JzU0xte\\u002fhskIl6rV17\\u002f6LlLXjeXXv\\u002fCdEsDe9de\\u002fcjI5+JwG2L8mU4oIxxfYv22ZK2haKdi\\u002fxfmBkFM72L+MfusXrk3Yv3O2rtJkYNi\\u002f4IBO+XFz2L92TUpTz4bYvwhHMmV2mti\\u002fNSXdoGCu2L9GTHuWh8LYvzMIOSXl1ti\\u002fEXMgqnPr2L+HH\\u002fMrLgDZvz3ew4IQFdm\\u002fA6Mxehcq2b9eJkXtQD\\u002fZv+WvGtuLVNm\\u002fh46vc\\u002fhp2b9FFF4ciH\\u002fZvw8vyms9ldm\\u002fIZs6HRyr2b8\\u002fsZX7KMHZv\\u002f9\\u002fc8Rp19m\\u002fq6rvA+Xt2b+X8RrqoQTav5jdHBuoG9q\\u002flnNAe\\u002f8y2r9t3En4r0rav5KGjVHBYtq\\u002fLphS4Dp72r8T7BFiI5TavwvqH8aArdq\\u002fHitCAFjH2r\\u002fJJZrhrOHavyB3LPmB\\u002fNq\\u002fLmYhfdgX278h3qc9sDPbv7JpKaIHUNu\\u002f3xE9sdts27+414EjKIrbv0iEQYHnp9u\\u002fe25zShPG279zcm4opOTbv1F4UyiSA9y\\u002fM174\\u002fNQi3L8Yn99GZELcv4I\\u002fleA3Yty\\u002flNyeLUiC3L+dbwxqjqLcv1B+ovgEw9y\\u002fy8iNrafj3L\\u002fvlJQTdATdv8WqyqlpJd2\\u002fStPqF4pG3b8uxqJX2Wfdv2QwVNFdid2\\u002fN9cNayCr3b8dg8mILM3dv1PKTP2P792\\u002fGzxi61oS3r\\u002fw53uXnzXev0mvLSpyWd6\\u002fixdLZOh93r+jN89FGaPev9u0C6kcyd6\\u002fkG7r0wrw3r91eVwB\\u002fBffvxKQMeUHQd+\\u002fWoX7LEVr3790OX4AyZbfv5\\u002f6eISmw9+\\u002fX19\\u002fYu7x37+mjkos1xDgvy2Nkml4KeC\\u002fLSXhSd5C4L8vQXQzCl3gv1SoVnX7d+C\\u002fNDv\\u002fM6+T4L90QddfILDgv3oaFbZHzeC\\u002fy2sizBvr4L\\u002f1k4wlkQnhv3TxRFSaKOG\\u002fIby9IihI4b9mCTnHKWjhv25cax+NiOG\\u002fMQ5j8z6p4b97CHs+K8rhvxzF+nw96+G\\u002fviXo\\u002fGAM4r+aQnowgS3i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UX4Itqd9G\\u002fuqhp7u5k0b\\u002f578sJNVLRvw28ziFAP9G\\u002f03PlbRQs0b93nKL+thjRvyApZp0tBdG\\u002fFepAp37x0L+KdyTksN3Qvyr7i1vLydC\\u002fmdXWJ9W10L9NGZJJ1aHQv9g46XvSjdC\\u002fYFdpC9N50L\\u002fZ3S2w3GXQvw38cGz0UdC\\u002fVGtYcB4+0L9vI68DXirQv9fbEHa1FtC\\u002fMmfdFSYD0L82\\u002fTJcYN\\u002fPvw+BYxamuM+\\u002fH5rJDBqSz78zldcut2vPvzvdnNd2Rc+\\u002flvlTBlEfz78bBCWfPPnOv09aN7Iv086\\u002fO1oHxx+tzr+cu90pAofOvwIDPjnMYM6\\u002fb7QosXM6zr859yPy7hPOv9GOIUI17c2\\u002f7UaKBT\\u002fGzb+uw\\u002fPuBZ\\u002fNv\\u002fdLTCSFd82\\u002fi6KWWLlPzb9HJKTZoCfNv+zTkpE7\\u002f8y\\u002fOlgt\\u002fIrWzL9LzqEQkq3Mv6FTVyBVhMy\\u002fVBj3q9lazL88jgIwJjHMv1gUi+pBB8y\\u002f+b7OmzTdy79cWKBDBrPLv3uJld2+iMu\\u002f2L78HWZey79PtZQxAzTLv2bg6YGcCcu\\u002fFLUagDffyr\\u002fsSZR32LTKvycFHmqCisq\\u002f4tRG9jZgyr9sjvpI9jXKvwehtBq\\u002fC8q\\u002fynxwuI7hyb95OSIYYbfJv5h+Lfgwjcm\\u002fW7v\\u002fCPhiyb+\\u002fl6cfrzjJv788AHBODsm\\u002ff3jNzM3jyL92dPfrJLnIvxv38qxLjsi\\u002fuvhOXzpjyL\\u002f9QVoH6jfIv8oY3J5UDMi\\u002f4X\\u002fxT3Xgx79hvUSoSLTHv5XSBcPMh8e\\u002f2A9HaAFbx78gcacg6C3HvyYegzyEAMe\\u002feTw3ztrSxr8zBF+X8qTGv+1kSunTdsa\\u002fmSFIeYhIxr\\u002fev7MpGxrGv7SrCMmX68W\\u002fWluFyAq9xb+LECnsgI7Fvz9QC\\u002fYGYMW\\u002fptgzT6kxxb9OmjOwcwPFv9Q8ystw1cS\\u002fg5jf\\u002famnxL+BQgUBJ3rEvxQ1kqztTMS\\u002fRHk6vQEgxL\\u002fgo8epZPPDvwpnToUVx8O\\u002f6inr7xCbw7+hkLUWUW\\u002fDv2VRO8PNQ8O\\u002fXgZwenwYw7+YUZyqUO3Cv98jdec7wsK\\u002fYr8mMy6Xwr82hchSFmzCv1P4YCziQMK\\u002fWKdeLH8Vwr\\u002fsnjSw2unBv+4SoXPivcG\\u002fmjAM\\u002foSRwb++PmQNsmTBv1Or4\\u002ftaN8G\\u002feFVFHnMJwb+6zRIY8NrAv3yS7iPKq8C\\u002fezwATvx7wL8cjfiehEvAv4l5fTZkGsC\\u002fOf5gqD7Rv7+x1tKdemy\\u002fv6OZVfSQBr+\\u002f08OB9Jufvr\\u002fp48oPuze+v2TxT0kSz72\\u002fsORug8llvb+fMP+1C\\u002fy8v9rNqBEGkry\\u002f+gFFFecnvL9f9Y+a3b27v605rN8XVLu\\u002ftRkSk8Lqur9tNXvnB4K6v6WsL7UOGrq\\u002f\\u002fObNrfmyub80oDqn5ky5vyrP3gHu57i\\u002fHHe3LSKEuL\\u002fFVgRRjyG4v0cQmhI7wLe\\u002ff6UHiSRgt7\\u002f5DuNORAG3v0GdsruMo7a\\u002fzQoOQOpGtr9O8b\\u002fiQ+u1v3LC69t7kLW\\u002fiS2KSnA2tb8sSPL\\u002f+9y0vwiYpFz3g7S\\u002fiVkpOTkrtL+pbY\\u002fVl9Kzv0XQ9snpebO\\u002fCyOR8gYhs79HqaRRyceyv6UgYeINbrK\\u002fqou4V7UTsr9mw+3CpLixvzxhJB7GXLG\\u002fBXbttwgAsb+HQo59YaKwvyX+jCLLQ7C\\u002fPzrNSYzIr7\\u002fmb1RcsQevv63LG6UcRa6\\u002fDZ3AX++Arb\\u002fX3fndU7usv1+CNFZ89Ku\\u002fLwLJhaEsq7\\u002fNobMvAWSqvzEUhIHcmqm\\u002flkTGaHbRqL+HQnLjEQiov3fF+lXwPqe\\u002f4ZRY8U92pr8V+\\u002fYyaq6lv\\u002fyHrYdy56S\\u002fiJQCGpUhpL9YW87S9Vyjv6N4B5KvmaK\\u002f97cPpNPXob8Vg0x2aRehv4n5OoxuWKC\\u002fc+wdaa01n78l3KD4GL2dvw+8u7jjRpy\\u002fAoONOMLSmr9D6D7IW2CZv0qHketM75e\\u002f3xpgCip\\u002flr8FHJ5Mgg+Vv3MyYo7in5O\\u002fI9QCWNgvkr87CUrG9L6Qv7v2iJ6emY6\\u002fPEFaohCyi78hBde0lsaIv1BW+jai1oW\\u002fr+jN68Hhgr9JQ4h3SM9\\u002fvwrYRx0x0Hm\\u002flr1lZh\\u002fGc7+rZVRIbWJrv0mjqX1jR16\\u002fwo4e6SCKNr9tILmHeSZTPw1m1BLbB2Y\\u002fLMeASS5FcT\\u002fmLBijK4x3P1vbVNSj130\\u002fOllL+ikTgj83vvffgTuFPzZh86BIZIg\\u002f9SjhB\\u002f6Miz\\u002fbw3fiN7WOP1YOIF5T7pA\\u002fQQw3+oyBkj+Io6mIQRSUP4fxTBx8ppU\\u002fwqBj3Fo4lz8DBytLD8qYP00FcwreW5o\\u002f0bKwHR7umz\\u002fphjOsN4GdP0ueTkmiFZ8\\u002f2fqnZfFVoD\\u002fngHleRCKhP+2QxLsV8KE\\u002fxYcke7O\\u002foj9LXYQ6bJGjP6fGA3eNZaQ\\u002fpqGsxWE8pT8RxXYQLxamP+\\u002f9DeI086Y\\u002fx5eDyqrTpz8fIYzmvreoPwCKJpKUn6k\\u002fNAWQTkOLqj8aWj7i1XqrP3vPR7hJbqw\\u002f\\u002f8Usg45lrT\\u002f\\u002femwlhmCuPxbMteAEX68\\u002fQQl05WgwsD8InUDD07KwP8loR52aNrE\\u002fxqxk4o+7sT9HHpqPgUGyP7i9vPg5yLI\\u002fXoKiooBPsz+FQBMqG9ezPzOufjLOXrQ\\u002fhWhWV17mtD\\u002fRBOcakW21Py1ups0t9LU\\u002fnjonaf55tj8GpjZa0P62P540GzZ1grc\\u002fbLhxV8MEuD90GMJfloW4PwLXkJvPBLk\\u002fz5tpR1aCuT8iZh21F\\u002f65P1vKL1EHeLo\\u002fQwEtiR7wuj9f7VmUXGa7PwQj2yDG2rs\\u002ftVIM6GRNvD9GfUotR768Pw3f5Sp\\u002fLb0\\u002fae1JcSKbvT8jF6g8SQe+P7j0k8UNcr4\\u002f+aoEkYvbvj+TmxfE3kO\\u002fP0wGvX8jq78\\u002ffsUUpLoIwD9o58A9dzvAPzpcXe3TbcA\\u002fcBCOE9yfwD9GohzrmdHAP8Hnxm4WA8E\\u002fljMiS1k0wT8sRYDcaGXBP9P6bjhKlsE\\u002fe+QbQgHHwT\\u002fOxZrIkPfBP6\\u002fUy636J8I\\u002fcrtlFEBYwj8Ch3mTYYjCP\\u002fjTpG1fuMI\\u002fZZIRyjnowj+YEFvt8BfDP7DIdXCFR8M\\u002fenTKc\\u002fh2wz\\u002flmdTMS6bDP3U0wCyC1cM\\u002fgiC4Pp8ExD\\u002fTAda8pzPEP6XS6nqhYsQ\\u002f\\u002fzKjZpORxD9+6dl8hcDEP2qrO7SA78Q\\u002fJQyv3Y4exT8qPkB7uk3FP+QNmI4OfcU\\u002fpUJGYJasxT\\u002fNn19BXdzFPwOTHUluDMY\\u002f+vVPENQ8xj\\u002fsOIdsmG3GP7cs5izEnsY\\u002fuDOG2l7Qxj9I7EZ+bgLHP5baw233NMc\\u002fDvH\\u002fIPxnxz9eJiESfZvHPwDrVqh4z8c\\u002fzeG+LusDyD+JlM3XzjjIPyz0bs0bbsg\\u002faGu+TcijyD+OTOLTyNnIP22hREwQEMk\\u002f7v8VU5BGyT+ABsB7OX3JP\\u002f1prp\\u002f7s8k\\u002fnbSgMsbqyT8waI2aiCHKP11GAokyWMo\\u002fz+LdU7SOyj8LzzxL\\u002f8TKPyrIgAoG+8o\\u002fdxtywrwwyz92YKJ6GWbLPzLJakgUm8s\\u002fYGMeeqfPyz9HOFC1zwPMPzJ\\u002fXAeMN8w\\u002fjBm5591qzD9eMOoryZ3MP\\u002fvRUe1T0Mw\\u002fB5ZqYYYCzT+FV1OlajTNP3TN4n0MZs0\\u002f4CjDDXmXzT9K\\u002fFWDvsjNP4bqVcDr+c0\\u002fi4lU\\u002fQ8rzj9Ce05rOlzOP0Q1ndV5jc4\\u002fIeqMRty+zj9kd82wbvDOP3l+1588Is8\\u002f7JIz8U9Uzz81vFmYsIbPPxrHnG5kuc8\\u002fTq9IEG\\u002fszz\\u002fO1ePj6A\\u002fQP1gYpMPFKdA\\u002fLeeAeMxD0D97uew2+l3QP6Tc5ChLeNA\\u002fueGNhrqS0D\\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AI1q4uU\\u002fcXwAASfg5T\\u002feh3M2yd3lP1bHc\\u002f5P2+U\\u002fzsLbY7rY5T8GLH+uB9blP\\u002fn8f2U30+U\\u002fUq\\u002fBUEnQ5T9Ix395Pc3lP3DNDyoUyuU\\u002fK07Z7M3G5T+Gh5CKa8PlP6kUwgfuv+U\\u002f7SO\\u002foVa85T9fnfrKprjlP\\u002fUa6CbgtOU\\u002fhLpthQSx5T90rfndFa3lP\\u002f4ITEoWqeU\\u002fcsQEAQil5T8PGgVQ7aDlP7CqspbInOU\\u002f4OMpQJyY5T8EQ2y9apTlP8wxln82kOU\\u002fG2cn8gGM5T\\u002fg+Wd1z4flP36t81ihg+U\\u002fDXJ01nl\\u002f5T95oJQMW3vlPykeMfpGd+U\\u002fBE7TeT9z5T8tfXo9Rm\\u002flP+ZMvMpca+U\\u002fQnFDd4Rn5T807rNlvmPlP7jC+4ILYOU\\u002fuqUWhGxc5T\\u002fgEUvk4VjlP5tX5uNrVeU\\u002f3cJ8hwpS5T8YD7KXvU7lP09ojaGES+U\\u002fHRFb915I5T9LdhyyS0XlPxsDhrNJQuU\\u002f6nOIqFc\\u002f5T\\u002fTs2EMdDzlP9KPLyydOeU\\u002fT738KtE25T\\u002fJ5j4GDjTlPw2xuppRMeU\\u002fNQHBqZku5T9JQ7fe4yvlPzMT29QtKeU\\u002fTYIwHXUm5T+SSIlEtyPlPxSMktnxIOU\\u002fwY3WciIe5T8Tf5+0RhvlP8kHqVZcGOU\\u002fD5eOKWEV5T8IfeUbUxLlPxf08j4wD+U\\u002fXq\\u002fvyvYL5T9TK8wipQjlP5bWatc5BeU\\u002fDChHqrMB5T\\u002fiz4KPEf7kP3JXVK9S+uQ\\u002f+qrUZnb25D8VIytIfPLkP7WnGRpk7uQ\\u002fWWbs1i3q5D8KStKq2eXkP+ripPFn4eQ\\u002f6a8nNNnc5D+jw8ckLtjkP66B5Ztn0+Q\\u002fN7eyk4bO5D+0l68jjMnkP\\u002fc00Xt5xOQ\\u002f8ORb30+\\u002f5D\\u002f\\u002fuXufELrkP\\u002fTEpBW9tOQ\\u002fBFfEnVav5D8S8EuQ3qnkP+0AHjxWpOQ\\u002fSDRk4L6e5D+kmFamGZnkPyjT+ppnk+Q\\u002f7YDiqKmN5D8oH\\u002fCR4IfkPwJCKukMguQ\\u002fCI2lDC985D9VyI4fR3bkP1COXwRVcOQ\\u002fMWBJV1hq5D\\u002fYauRoUGTkPwTcMDk8XuQ\\u002fBUz7chpY5D+tX7Zn6VHkPwBP3QunS+Q\\u002fz1r081BF5D\\u002fOWD1S5D7kPw5HN\\u002fVdOOQ\\u002fXjcAR7ox5D+yx7BN9SrkPwi0x6wKJOQ\\u002fG8u6p\\u002fUc5D\\u002fopcAlsRXkPwHs47Y3DuQ\\u002fwqhtmoMG5D9RQbDGjv7jP5EAOPJS9uM\\u002f+PZgnsnt4z9CLEwj7OTjP8TqJ72z2+M\\u002flV24mhnS4z8j8AbtFsjjP677F\\u002fikveM\\u002fLXp\\u002fJL2y4z8m1qYRWafjP8iuj6hym+M\\u002fvq7ZLgSP4z9gjsxZCILjP4AsI2F6dOM\\u002fq3pREVZm4z8j6vzcl1fjP+MzXu08SOM\\u002f8NRDMUM44z\\u002ffem5qqSfjP5TqAzlvFuM\\u002fUqjZJJUE4z\\u002fPyl6kHPLiP8Tf8yAI3+I\\u002fdoWI+FrL4j87PGB8GbfiP3jO6uxIouI\\u002fMlaocu+M4j+bKR0UFHfiP1Ka5qi+YOI\\u002fgzcOyvdJ4j9N6cW\\u002fyDLiPwqBw2w7G+I\\u002fCfx9N1oD4j8BdJnxL+vhPypT2L3H0uE\\u002fzp\\u002fw9Cy64T+g36oJa6HhP3sBtWyNiOE\\u002fi8aWcJ9v4T+ILzYurFbhP4VtWWq+PeE\\u002f47iQfOAk4T8kQu03HAzhPzs+49V68+A\\u002foPar4wTb4D\\u002fM6nEywsLgP9WmhMq5quA\\u002fTDHE4fGS4D8NH2XVb3vgPyK+Hic4ZOA\\u002firDEfU5N4D+tET2ptTbgP8AxtKlvIOA\\u002f3mbfuX0K4D8phSO4wOnfP2Xkr9Muv98\\u002fSfyIS0SV3z8OiRae\\u002fmvfP1ZPBW1aQ98\\u002fRF01qVMb3z8xzay\\u002f5fPeP02apMYLzd4\\u002fMe3GqcCm3j\\u002fzAr1U\\u002f4DeP21RNtvCW94\\u002fYZqinQY33j8P5OxpxhLeP05inZf+7t0\\u002fXbfjHqzL3T+KAimqzKjdP0xP6aFeht0\\u002f\\u002fma1MmFk3T93FWBN1ELdPwrRe6G4Id0\\u002fa65ukg8B3T871YEn2+DcP1GUbvcdwdw\\u002fmRYFENuh3D8Z9J7aFYPcP+3uIf7RZNw\\u002fX6dkPxNH3D\\u002fxps9g3SncP0+SGAI0Ddw\\u002fj43zgBrx2z+Q4Y\\u002fbk9XbP3TqqJWiuts\\u002fA4DjoEig2z\\u002fTyRpJh4bbP6c+JiVfbds\\u002fB\\u002f+FDNBU2z\\u002fAdkMS2TzbP47wMoV4Jds\\u002fQlKg9asO2z+SXU5AcPjaP\\u002fFljZ7B4to\\u002fC0ANu5vN2j8zEu\\u002fK+bjaP\\u002fRbf6rWpNo\\u002ft7zn\\u002fCyR2j9\\u002fURNO933aP5B28DUwa9o\\u002fi8IvfNJY2j9mdpo72UbaP4WTGgRANdo\\u002fy1eU+gIk2j\\u002fg9rv1HhPaP\\u002fTKIpeRAto\\u002fd5fMX1ny2T+mVre\\u002fdeLZP\\u002fXc3R\\u002fn0tk\\u002fB7Je5q7D2T8kGJR0z7TZP52GDx9Mptk\\u002fGPmQHymY2T9TgjiBa4rZP8CiVQcZfdk\\u002fOxhbDzhw2T++Vp5uz2PZP\\u002fXPpkzmV9k\\u002fV+Pp+oNM2T\\u002f0IuTKr0HZP+3\\u002fjuNwN9k\\u002frYY6F84t2T9zTtW6zSTZP57\\u002fqH91HNk\\u002f\\u002fdeHUMoU2T+9hlcz0A3ZPzvgzy+KB9k\\u002fNLkoPPoB2T+vOVIwIf3YP7bcLsD++Ng\\u002faN0efZH12D8V5ALf1vLYPxJJsFTL8Ng\\u002fYjSlW2rv2D\\u002fbO5+eru7YP9PmjBqS7tg\\u002fo6gqSQ7v2D80XndQHPDYPwQFDDa18dg\\u002fygNHFdLz2D9VniVXbPbYP3Chlup9+dg\\u002fdV8IfAH92D\\u002fRAvKq8gDZP5gmHTxOBdk\\u002fcIaARxIK2T+QPY9gPg\\u002fZPxMf+bfTFNk\\u002f1Lb3NdUa2T9p1GeMRyHZPwNpGEAxKNk\\u002feBzkqJov2T99YlrojTfZP2sB7tYWQNk\\u002fBd\\u002fQ50JJ2T83btYDIVPZP2Y25lvBXdk\\u002fypO1MzVp2T9SAqqljnXZP4sY62Dggtk\\u002fkvfLYj2R2T9Eq86suKDZP2oqmPhksdk\\u002fGug4a1TD2T+X6TNJmNbZP6XyrKxA69k\\u002f0psdP1wB2j8MOOH39xjaP2yn0OAeMto\\u002fAxIK4tlM2j+Aot2VL2naPxR5sCUkh9o\\u002frAh7MLmm2j8a1li77cfaP\\u002fQibiy+6to\\u002fHng1UCQP2z8PVxRpFzXbP\\u002fan5EiMXNs\\u002focrwc3WF2z9agbNMw6\\u002fbP70lhEdk29s\\u002f3I0zJUUI3D8zbn8zUTbcP0R1KZJyZdw\\u002fYEdte5KV3D8qNoWOmcbcP6gz6Rpw+Nw\\u002fwRT2av4q3T9QlrQMLV7dP0Fxhxflkd0\\u002fbLGdbRDG3T9U5CH4mfrdP73kPt1tL94\\u002feT03r3lk3j9qgfOTrJneP12clWT3zt4\\u002f2xfKxEwE3z\\u002fKo7sxoTnfP\\u002fzstwjrbt8\\u002fPAe+hSKk3z+ghlW6QdnfPyKImD4iB+A\\u002f\\u002fnifKZQh4D+XzXIp9jvgPxYQIIFIVuA\\u002fofOfGIxw4D\\u002frAVJoworgP6s7XmPtpOA\\u002fTdN3YQ+\\u002f4D94dnkIK9ngP8xUTjZD8+A\\u002fPmmT61oN4T+yxVI3dSfhP5sHLySVQeE\\u002feQlIp71b4T86thOR8XXhP2P4VoAzkOE\\u002fvH9b14Wq4T9v5G+z6sThP6rrsOZj3+E\\u002f67UM9PL54T9pw2MNmRTiP0lEoBNXL+I\\u002ffFuSmC1K4j9FA1jiHGXiP8BGEfAkgOI\\u002fc5qdf0Wb4j9jSx0UfrbiPy888vzN0eI\\u002f+F79XDTt4j+da9oxsAjjPw0G4VpAJOM\\u002fLau5n+M\\u002f4z\\u002fUA122mFvjP1dlXUhed+M\\u002fYf1j9zKT4z8LGdVgFa\\u002fjP3XVmCAEy+M\\u002f6P4O0\\u002f3m4z8wrD0WAQPkPwb0UYoMH+Q\\u002fu7mQ0R475D84x9qPNlfkP\\u002fYX62lSc+Q\\u002fXT14BHGP5D\\u002f8FmIDkavkP6y1Ewmxx+Q\\u002fwjY+ts\\u002fj5D\\u002fvzwyq6\\u002f\\u002fkP6JK7IIDHOU\\u002fBQT53xU45T+\\u002fZh5jIVTlP4QF6rMkcOU\\u002fEkkLgx6M5T+5Wm+ODajlPyrm36Xww+U\\u002fjMkCsMbf5T\\u002fyIJGvjvvlP\\u002fWPlchHF+Y\\u002fl4V8RfEy5j+Qp72bik7mP+fK428TauY\\u002fHf24mIuF5j\\u002feN14h86DmP21rGkpKvOY\\u002flI+yh5HX5j\\u002fnRSSByfLmP4shpgvzDec\\u002fzKvbJA8p5z+FdTfrHkTnP5GokpQjX+c\\u002fpEAPYx565z84\\u002f2eYEJXnP\\u002fLr3mf7r+c\\u002faWII59\\u002fK5z9k6rz9vuXnP6kAh1WZAOg\\u002f9TPrSG8b6D94OPDSQDboP6WPUX8NUeg\\u002fL9\\u002fJW9Rr6D9y5+Hqk4boP+wbrhhKoeg\\u002flybfMfS76D+RJIHdjtboP+JFuhkW8eg\\u002fc9\\u002fLO4UL6T+rJYnz1iXpPwMEZVIFQOk\\u002fFzQl1gla6T+gQjR33XPpPwkMd7p4jek\\u002fMeR0xtOm6T8RlIx75r\\u002fpP0gg3I6o2Ok\\u002fHGdupxHx6T\\u002f1jDB9GQnqP1JdIvm3IOo\\u002f7J8oVuU36j+0SN9Bmk7qP+Ojw\\u002fzPZOo\\u002fUGwMeYB66j9DPId3po\\u002fqP1sR2KE9pOo\\u002f6qWAoUK46j+MDiIzs8vqP+8pezWO3uo\\u002fo7a5s9Pw6j\\u002fA9snqhALrP7g3aUmkE+s\\u002fUOLZajUk6z8YUzMMPTTrP9gRZPzAQ+s\\u002f8m4ZB8hS6z98ddvaWWHrP8Lgxup+b+s\\u002fyLpnTEB96z8P5E2Sp4rrP+p2CKS+l+s\\u002fykVFlI+k6z+TM951JLHrPyl\\u002fpjCHves\\u002fPxPOVsHJ6z\\u002fJWLD729XrP2fi3ozf4es\\u002fR5YurtPt6z\\u002fz638Zv\\u002fnrPyil6IKnBew\\u002fc3jPgZER7D8v43B\\u002fgB3sP4hMKKt2Kew\\u002fUWW69HQ17D+G5r0Me0HsP5wrH2uHTew\\u002fX16aW5dZ7D\\u002fluecPp2XsP\\u002fCKNrexcew\\u002fyLd2mrF97D\\u002fUaNY8oInsPz2Cwn92lew\\u002f34OlySyh7D9pjZEuu6zsP7oL+JkZuOw\\u002fnzuM+D\\u002fD7D9RWW1hJs7sP34Ouj3F2Ow\\u002fFmC4bRXj7D9U08tqEO3sP\\u002fBrhmWw9uw\\u002f\\u002fho4X\\u002fD\\u002f7D\\u002f+tHo+zAjtP3jzVd5AEe0\\u002f\"},\"y\":{\"dtype\":\"f8\",\"bdata\":\"3rkXJkou8b+ZDD5wXzTxv\\u002f35o\\u002fo9OvG\\u002f+fM8beg\\u002f8b9d94gsYkXxv3mF3EivSvG\\u002f7rF5adRP8b8Jddyz1lTxv8NOtK+7WfG\\u002fDuIaKIle8b\\u002fpAqoKRWPxv48\\u002fI0X1Z\\u002fG\\u002facpmop9s8b8vf3+nSXHxv8FHjXH4dfG\\u002fMThWlbB68b9RRUEBdn\\u002fxv0eDc+JLhPG\\u002f54W6jTSJ8b9uBdxsMY7xv8+kzPBCk\\u002fG\\u002fZw82iWiY8b\\u002fNG5ihoJ3xvxPOMaToovG\\u002fC5m+Aj2o8b\\u002fwzfJEma3xv+d9gBz4svG\\u002fQ+hMflO48b+3ql7ApL3xv4cC77vkwvG\\u002ftDnt8gvI8b9Wgyu4Es3xv7alWFnx0fG\\u002fDmTaSaDW8b+1E5JNGNvxv4V8j6JS3\\u002fG\\u002fmEq2KEnj8b\\u002fPC2CG9ubxv8LwD0lW6vG\\u002fhSxeAWXt8b9fl1ZZIPDxv57FoCSH8vG\\u002fmJrmaZn08b\\u002f66RBlWPbxv8tJF4LG9\\u002fG\\u002fmQ5IUOf48b9+txZuv\\u002fnxv2\\u002f2qG1U+vG\\u002faB+Esqz68b93OeVIz\\u002frxv4BOdLfD+vG\\u002fXg4nzJH68b\\u002fLmkZlQfrxvx6epzfa+fG\\u002fnQA6k2P58b\\u002fIFyYn5Pjxv\\u002fOXt8Zh+PG\\u002fDZBaMOH38b8yGOzXZffxvzERl7Xx9vG\\u002flXBlGoX28b+DVpiLHvbxv2DpvKW69fG\\u002fhC5SCFT18b+Saa1K4\\u002fTxvy2un\\u002fpe9PG\\u002fVRExpbvz8b9ELpXp6\\u002fLxv8BwSpbg8fG\\u002fac0i0Ijw8b\\u002fmQcJC0u7xv+Ko7lmp7PG\\u002f9B7egvnp8b9JWoZ0rebxvxjUyH2v4vG\\u002fX0g22Ond8b+\\u002flAj+Rtjxv0b93AGy0fG\\u002fM82q5hbK8b\\u002fEgmv2YsHxv2xn6hWFt\\u002fG\\u002f26w5FG6s8b9CyFr0EKDxv8SMvi9jkvG\\u002fKQ5f8FyD8b8FE1lB+XLxv6MnFDU2YfG\\u002fo3A2ABVO8b84TtMImjnxv2XBeOnMI\\u002fG\\u002fk0\\u002f2Z7gM8b+yx+9favTwv6q7haHz2vC\\u002fWqaTxGfA8L9Bhzfx3KTwvxg3h55riPC\\u002fIvCDSC5r8L+xnoMeQU3wv5\\u002fNaKvBLvC\\u002fRcYcec4P8L+8iqZhDeHvvy43V3MTou+\\u002fWfaPru1i778IDeKT2SPvv30Jo+MS5e6\\u002fQF+J7dKm7r\\u002fdeDLsT2nuv9EnGW+8LO6\\u002fIZM61Ubx7b8DEFXaGLftv4deUThXfu2\\u002fxW0FXiFH7b8JAxo8kRHtv0NsdCi73ey\\u002fztMc2K2r7L\\u002fX5jJvcnvsv6lBH6YMTey\\u002fGGTSAnsg7L8djIskt\\u002fXrvzJWVCC2zOu\\u002f8ssa7Gil67\\u002fpxhvWvH\\u002frv4goJAacW+u\\u002fDwoRBu4467\\u002faEeZOmBfrv6mozdd+9+q\\u002f1a9gpITY6r\\u002f7I6pPjLrqvyYYfpF4neq\\u002fO7jpuyyB6r\\u002fnYboujWXqv9cHW79\\u002fSuq\\u002fKX2PE+wv6r9cVuPtuxXqv8cJ9Grb++m\\u002f8CISLzni6b856AmExsjpvyQDN2d3r+m\\u002fvt5WiEKW6b8K7tg5IX3pvxZvsVMPZOm\\u002fBzfxCQtL6b8fgZq4FDLpv5ayVqYuGem\\u002fzNPSv1wA6b\\u002fPrZ9NpOfov9nMfqYLz+i\\u002f1SAH4Jm26L830IJ\\u002fVp7ov0yH1CxJhui\\u002fYMsVaXlu6L+4enpK7lbovyGx2D6uP+i\\u002f9\\u002fMA1r4o6L+6FtqUJBLov60f+NHi++e\\u002f6\\u002fomnPvl57\\u002f6dyKrb9Dnv2ROdlo+u+e\\u002fWR5ErmWm57\\u002fg4XNh4pHnv9tAnvyvfee\\u002fQcrQ9Mhp578VKCPRJlbnv6C88lXCQue\\u002fak2AtJMv578y2Jm9khznvzSa8RW3Cee\\u002fzrPCavj25r\\u002f8eGulTuTmvwkKtRyy0ea\\u002fA7SWwhu\\u002f5r+DIGFNhazmv+6yYFvpmea\\u002fP58ukEOH5r+aQRSrkHTmv8noEpbOYea\\u002fhnhSbfxO5r\\u002fP2+l+GjzmvxMLJEMqKea\\u002fe1WSTS4W5r9CnGc3KgPmvxVRv4Mi8OW\\u002fZHWVfhzd5b\\u002fX2lEXHsrlvzLp37ctt+W\\u002fZcpcGVKk5b9RzW8XkpHlv637Y4P0fuW\\u002f+1UW+H9s5b9mIcKvOlrlv6eNpFwqSOW\\u002fBTRbBVQ25b9KLsbluyTlv7p9F1VlE+W\\u002f1wOXsVIC5b\\u002f5Rn1ShfHkv9aUIID94OS\\u002fkbyIcrrQ5L8AhVZWusDkv70dxlf6sOS\\u002ftPJvs3ah5L+VUkrMKpLkv675UEYRg+S\\u002fjm8eJSR05L8lwK7tXGXkv7fXc8q0VuS\\u002f2O7ZsCRI5L+eIlaHpTnkv9OMGkswK+S\\u002f9syRNL4c5L+WtM\\u002fZSA7kv\\u002fFLNU7K\\u002f+O\\u002fwC+bPj3x47+jxG0JneLjv5NGQtLl0+O\\u002f4ZaJkBTF47++GiUZJ7bjv5Q1wiIcp+O\\u002fWCUBRfOX47\\u002fKfYvyrIjjv0h1XG5KeeO\\u002fnvqYvM1p478hf26POVrjv7n4hDCRSuO\\u002fL2iiZ9g6479VzitfEyvjv8iwOIdGG+O\\u002fxvjyd3YL479ND\\u002f3Tp\\u002fviv2G3kyvf6+K\\u002f1noY4SDc4r\\u002fx06QPccziv6j3NXTTvOK\\u002fgLjtWUut4r+V8s6J253iv8\\u002fgQz6GjuK\\u002f9UWjGk1\\u002f4r+4Gc8mMXDiv9sW7c4yYeK\\u002fg7sf51FS4r\\u002flqA2zjUPiv4pm7vDkNOK\\u002fWOW+51Um4r\\u002f+LS543hfiv\\u002fPOwy98CeK\\u002fwy62XSz74b\\u002fnFN8o7Ozhvx2mOKa43uG\\u002fmsBM747Q4b++BgQ4bMLhv+LVSONNtOG\\u002f+6T8lTGm4b+whMtHFZjhvytUeVH3ieG\\u002fN0ZWeNZ74b\\u002fHCpz2sW3hv6vWiYCJX+G\\u002fIw0rRl1R4b928snxLUPhv6ACJaP8NOG\\u002frsmR58om4b+970qvmhjhv0YjOEBuCuG\\u002fBkaNJkj84L9MaqojK+7gv0KIrxsa4OC\\u002fGy49AhjS4L92s97GJ8Tgv3WgmkFMtuC\\u002fShMjIIio4L+4GxrU3ZrgvzV31YJPjeC\\u002flhMC995\\u002f4L+ulHqUjXLgv8AmlU5cZeC\\u002fC5QcoUtY4L++SxeMW0vgv649bZKLPuC\\u002fnpJru9ox4L\\u002fbzBOXRyXgv8MrE0XQGOC\\u002fiasvfnIM4L+QAuqfKwDgv1LBD3Tx59+\\u002frV9fO63P379JxG7bg7ffv9klhV9un9+\\u002fLgOTu2WH3792Y0TvYm\\u002ffv\\u002fN1TihfV9+\\u002fhto441M\\u002f37+DcPAJOyffv4QOgw8PD9+\\u002f\\u002fnF4CMv23r9acFS\\u002fat7ev8RU6MTqxd6\\u002fDaw0fEit3r\\u002fD0bghgpTevwOtKc6We96\\u002funikdIZi3r\\u002fXiozcUUnev+A1W5f6L96\\u002frIe+8oIW3r+BXHbn7fzdvziabgU\\u002f492\\u002fUCWhXXrJ3b+SEVJqpK\\u002fdvwmePPbBld2\\u002fj71HA9h73b9hYlWx62Hdv0qyuCUCSN2\\u002fUAHVcyAu3b+zUFqHSxTdv+yKhBCI+ty\\u002fpEexctrg3L+FE421RsfcvxuVBXnQrdy\\u002fgPwZ7HqU3L\\u002faho\\u002fGSHvcvzoCfUU8Yty\\u002fGaaOKldJ3L+QstO9mjDcv6d12dEHGNy\\u002fGObLyZ7\\u002f279rKkuhX+fbv5FKn\\u002fVJz9u\\u002fEQDwD123278MGCbwl5\\u002fbv64JHlj5h9u\\u002fdxbY1n9w279aQFnTKVnbv0ZR+Zb1Qdu\\u002fJbrkVuEq27+x06Q86xPbv+KdjW0R\\u002fdq\\u002fpwr9EFLm2r\\u002f0xGRVq8\\u002fav4DMI3Qbudq\\u002fmMlAtKCi2r9TSyBsOYzav3bqWgLkddq\\u002fRETe7Z5f2r95wIi1aEnav7j1cu8\\u002fM9q\\u002flzUaQCMd2r+8Vp5ZEQfav+BPQfsI8dm\\u002fz8ZR8Qjb2b\\u002ffkqIVEMXZvwihqFAdr9m\\u002fJvVOmy+Z2b+iDoYBRoPZv4AeiaVfbdm\\u002fP6HIw3tX2b\\u002fYfF+3mUHZvzYU7v64K9m\\u002fNzeuQdkV2b+wwotU+v\\u002fYv3FuCD8c6ti\\u002fzeytPz\\u002fU2L\\u002fESdDPY77Yv8KBY6aKqNi\\u002f6puqubSS2L\\u002f9JIw\\u002f43zYv\\u002fScX6wXZ9i\\u002flhIRsFNR2L\\u002fQh4MxmTvYvzCCJ0jqJdi\\u002fbwHJM0kQ2L9+laZSuPrXvyAK8hU65de\\u002f1qTp9NDP178d0cZef7rXv5rdy6tHpde\\u002f66zFDSyQ17+KlV+ALnvXv7jDrrlQZte\\u002fKPteG5RR1784Xuyk+TzXvxG5VOeBKNe\\u002ftKqm+iwU179T4M11+v\\u002fWv1iM8Wjp69a\\u002fU3mtWvjX1r9z1l5IJcTWv8turKltsNa\\u002fhs1ed86c1r8XUog1RInWv1Hn5wDLdda\\u002fd3pbn15i1r82\\u002fSGT+k7Wv9lFmDCaO9a\\u002fNAsJtjgo1r9vFBdl0RTWv2P7OZ1fAda\\u002fNge69t7t1b+aDo9dS9rVv9NMgSuhxtW\\u002fV93pQN2y1b8pSnMb\\u002fZ7Vv4lLQer+itW\\u002fmXbxnuF21b8o+vT6pGLVv0Jt1ZhJTtW\\u002fbsAL8dA51b9ILChaPSXVvwT4IwSSENW\\u002fkpnR7tL71L+tXHzbBOfUvz\\u002fE5Tkt0tS\\u002fCo3rEFK91L+f5DzjeajUvwdin5Crk9S\\u002fX+5bNO5+1L9gdYABSWrUv4NhtB3DVdS\\u002fMBZre2NB1L9fbki0MC3Uv7pxj+QwGdS\\u002fi8lyiGkF1L9I6xhc3\\u002fHTv15\\u002fGz+W3tO\\u002fy2M6HJHL078jEufV0bjTv0mINThZptO\\u002fuJGk8CaU07\\u002fcBxGMOYLTvyT1BnuOcNO\\u002ffS6BHCJf07\\u002ftrgTP703Tv4WU4QfyPNO\\u002fTtZAcCIs079XcIQHehvTvxuaYErxCtO\\u002fkFz4XYD60r9ILC8+H+rSv9alTO7F2dK\\u002fnqX\\u002fqmzJ0r\\u002f7GMMcDLnSvxZdoYmdqNK\\u002fRO5SBRuY0r+qnrqef4fSv8RtzInHdtK\\u002fezX8RPBl0r9PZWa5+FTSv\\u002fp9\\u002flThQ9K\\u002f8WcsHqwy0r9sdmLAXCHSvyk4WZH4D9K\\u002fnmHDjob+0b8pUHJUD+3Rvx8TCgud29G\\u002fA7mJTzvK0b\\u002fRAxEU97jRv\\u002fTYbnrep9G\\u002fCQQjqQCX0b\\u002fdi5mbbYbRv6ZVfe41dtG\\u002fQqUSqWpm0b\\u002fMzpcEHVfRvxfnsjJeSNG\\u002fyEL2Iz860b9kHINP0CzRvynfyXwhING\\u002fQpFakEEU0b+b+6VcPgnRvyLteXck\\u002f9C\\u002futToFP\\u002f10L\\u002fNiC\\u002fo1+3Qv1QVDAu35tC\\u002fc5HW66Lg0L8NB4pCoNvQv+8tyAyy19C\\u002f7+K\\u002fkNnU0L8dmLxmFtPQv6g5BYlm0tC\\u002f082TacbS0L+uBxUNMdTQv1KeiCqg1tC\\u002faOXITgza0L8WMzIDbd7Qv8JHmfa449C\\u002fKUe7J+bp0L+b3FEQ6vDQv9jA+s+5+NC\\u002fgM4qVkoB0b+nznGKkArRvzHEZHKBFNG\\u002fUT6YVBIf0b+clirYOCrRvwNadiDrNdG\\u002fT9ye5B9C0b9Lb8OCzk7Rv+VJwA7vW9G\\u002f3zR+XHpp0b8e+OoFanfRvxC3y2y4hdG\\u002fvWyvuGCU0b+rGFrRXqPRv7uTEFavstG\\u002fjSg5kk\\u002fC0b8awc1vPdLRv7yqIWh34tG\\u002fVJ1+c\\u002fzy0b+08Br4ywPSvz\\u002fp5bjlFNK\\u002fhQifxEkm0r+ipaJl+DfSvzgnyRLySdK\\u002ft3WnYTdc0r9EIG\\u002f6yG7Sv5Ozm42ngdK\\u002fx2yJy9OU0r\\u002fWPwBeTqjSv1KXreMXvNK\\u002fdLN37TDQ0r+tiof9meTSv3Pe2YdT+dK\\u002feyke9F0O07+UWKKguSPTv7YJBeZmOdO\\u002fXm1lG2ZP078W1ceat2XTv8xoaMVbfNO\\u002fdkC6B1OT078QA9jcnarTv7nlM9E8wtO\\u002fkyRfhDDa078wcsypefLTv439fAgZC9S\\u002fUCeUeQ8k1L9zY9rlXT3Uv0upQ0IFV9S\\u002fT9eYiwZx1L8+NW3BYovUv\\u002fpzkeAaptS\\u002fju473S\\u002fB1L+ARiKdotzUv3ukwvFz+NS\\u002fStAak6QU1b9L\\u002fwgbNTHVvyGyjQEmTtW\\u002fqmkfmndr1b+kjTgSKonVv1DePXE9p9W\\u002fyH7QmbHF1b8jbpJMhuTVv7mEVyy7A9a\\u002fViSww08j1r\\u002f9Lq6LQ0PWv\\u002fHouPOVY9a\\u002fOJQ5akaE1r\\u002fSLuFlVKXWv4cfQG+\\u002fxta\\u002fGw1jKofo1r9X0yRgqwrXv36u5AYsLde\\u002fC19RSglQ17+ON\\u002f6RQ3PXv9msfYbblte\\u002fXvnFFNK617+ZeK9vKN\\u002fXv55LaQ\\u002fgA9i\\u002f+j7Prvoo2L+Bb5tGek7Yv4FdfgZhdNi\\u002f7oU4TLGa2L95weCYbcHYv8YSkoSY6Ni\\u002fpcLJsDQQ2b8YNsu5RDjZv1RoaSfLYNm\\u002f+QGeXcqJ2b9ZX1uNRLPZv5k2CaY73dm\\u002fXtQaSLEH2r\\u002fQ+Sm5pjLavyxP+tkcXtq\\u002fkje\\u002fHhSK2r\\u002fiyPCJjLbav1cJ7amF49q\\u002fn7KQmf4Q278xBd8D9j7bvxAsuypqbdu\\u002fWdaf8Fic27+4livlv8vbv1vcQlSc+9u\\u002ft5FzV+sr3L8gLjPpqVzcv+DifvnUjdy\\u002faAVXg2m\\u002f3L+yaIOiZPHcv1ViBqnDI92\\u002fhg6gM4RW3b9HRMM8pIndv1CsYS0ivd2\\u002fPp386vzw3b8yo3TiMyXev+zCIQ\\u002fHWd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002fpx793+SC0r\\u002fT3zUQIHHSv7Hnx7j8XtK\\u002fXD8MYH1M0r\\u002fM+dyzpjnSvzGULVF\\u002fJtK\\u002fc\\u002fzKfw8T0r9UqnjkYP\\u002fRv7f7yit+69G\\u002fXHY6sHLX0b\\u002fyVPcdSsPRv\\u002fTfABcQr9G\\u002fxuLw2c+a0b9F0Mntk4bRv\\u002fTs5tRlctG\\u002fnHXyyE1e0b9c13+BUkrRv2aEmQZ5NtG\\u002fXMU8kMQi0b9gQ2RzNg\\u002fRv\\u002f0k5hzO+9C\\u002fSLkOGono0L9vCYcuY9XQvxFkwXZWwtC\\u002fhQ\\u002fXlVuv0L9Cm3vtaZzQv8Jdbd53idC\\u002fzOKYD3t20L9ndf+5aGPQv3xFWPc1UNC\\u002f9FlYEdg80L\\u002fVo4\\u002fPRCnQvyjh2MFyFdC\\u002fbAN2hVkB0L8nPzUG5NnPv7zcsEhtsM+\\u002fpF87\\u002fkaGz79ZinHsbFvPv7GQO5zeL8+\\u002fedTwap8Dz7+8+ceCttbOvwqI5rouqc6\\u002fwfv+XxZ7zr+LSQDnfkzOv5XR4ot8Hc6\\u002fjE4Z3yXuzb+Tj5VEk77Nv0BRpmfejs2\\u002fUmgzpyFfzb9pSgZ+dy\\u002fNv3gM3ur5\\u002f8y\\u002fN\\u002fwG3MHQzL\\u002fqcA+i5qHMv+FM\\u002fmx9c8y\\u002fB3Ql15hFzL+1QU2ASBjMv1FCiLuY68u\\u002f6wuDUZK\\u002fy78OL55YOpTLv\\u002fhOkyOSacu\\u002fWw3WRpc\\u002fy7\\u002fGOlG0QxbLv2E+lOyN7cq\\u002fy13\\u002fQ2nFyr9MugI6xp3KvzFxFuCSdsq\\u002fofC0TbtPyr9TblUeKinKv1U8LfbIAsq\\u002f7axcCoHcyb+s\\u002fB+pO7bJv+hypr7ij8m\\u002fwiJRU2Fpyb+tgE4ApELJvxPezleZG8m\\u002fweFlPjL0yL\\u002fZ5pMzYszIv7YY5YcfpMi\\u002fwiuQf2N7yL+VjABhKlLIv\\u002fluPG9zKMi\\u002fufia0ED+x7+Ggb5il9PHv8dYP31+qMe\\u002fJ7fhpP98x79hupIxJlHHv2Mouun+JMe\\u002f3UCvlZf4xr+qlEyO\\u002fsvGvxWkuElCn8a\\u002fAGB+6XByxr9CkQHNl0XGvwIbOCvDGMa\\u002fYwhbtv3rxb9n0\\u002fpLUL\\u002fFv+U3i7PBksW\\u002f43wWbVZmxb8HBVmREDrFv5wHD8TvDcW\\u002fYKHCOPHhxL\\u002f3HevJD7bEv9ygsiFEisS\\u002f5FVA84RexL+sDPZCxzLEvxBqq7v+BsS\\u002fzDOZDh7bw79D2F5bF6\\u002fDv8EGVZ3cgsO\\u002fHlA7G2BWw7\\u002feRT3WlCnDv+HRTfVu\\u002fMK\\u002f8nXtKeTOwr+UNZkL7KDCv38SW2eAcsK\\u002f6rtAgZ1Dwr8acddFQhTCv\\u002fjZMmpw5MG\\u002fsil1eSy0wb\\u002fKakbPfYPBvzpfJH9uUsG\\u002fitDwKAshwb+zbJ67Yu\\u002fAvwhMUSeGvcC\\u002fxRW1AIiLwL9Rs6wXfFnAv7Mw1AN3J8C\\u002ftVwlUxvrv78D3Vx1qYe\\u002fvziF7WrAJL+\\u002fuCJMy4XCvr\\u002fGBTLUG2G+v3hevoSgAL6\\u002flhz8zSyhvb\\u002fj3QLe00K9vwjFTYqi5by\\u002fD2oq3Z6JvL9b\\u002fFDJxy68v6sj0gUV1bu\\u002fdtWUE3d8u7\\u002fn9aNs1yS7v5JTj9wYzrq\\u002fdmgrABh4ur96Rw3qqyK6vwXuQeimzbm\\u002fJSn3Ztd4ub9NJB3rCCS5vze1dh8Fz7i\\u002fYfQe7pR5uL+4Qj+ggSO4v+46i\\u002f2VzLe\\u002fVgEZZZ90t7\\u002fYzFPZbhu3v3hQE\\u002fnZwLa\\u002fg+VS4Ltktr8GNJTr9Qa2v4\\u002f+pllwp7W\\u002fFXJWyBpGtb9EC1eJ7OK0v4CKuc3kfbS\\u002fVu0ZpwoXtL8MM7febK6zv7T4k6MhRLO\\u002fOP6qEUbYsr8X6R+V\\u002fWqyv6P6Hi1x\\u002fLG\\u002f6UbRks6Msb8LQmJJRxyxv7HVi5wPq7C\\u002fZA51k105sL9kGca7z46vv\\u002fjEloPJqq6\\u002fwKeEHhLHrb859w5BDuSsv356M9cbAqy\\u002fg4GFVJAhq79rO+s5t0Kqv\\u002fl\\u002fX9jQZam\\u002fq5yVVhGLqL\\u002fFlL79n7KnvznH\\u002fc+W3Ka\\u002fkapgaQIJpr9QCXUq4jelvxRX7akoaaS\\u002fFYEtabyco7\\u002fvYSXGeNKivwFPkSMvCqK\\u002fIXecP6hDob8OHvqvpX6gvw\\u002fVvfPGdZ+\\u002fqGSrdzPwnb+XIHq+\\u002fGucv\\u002fBumY6N6Jq\\u002fD46i51Jlmb8lw7Acv+GXv+LakLJMXZa\\u002fe9Gj8oDXlL\\u002ftcIkl7k+Tv4LPJGs1xpG\\u002ftrY8KAg6kL8cj5UJUlaNv17p1fHYMoq\\u002fo5Zt0nEJh7+wFTWsDNqDv9yLl0i7pIC\\u002frKenG17Ter\\u002f0p6hXbFJ0v2v\\u002fq+ngjmu\\u002fLAxrJJPNXL+U2A+Mz+wiv3zRbuNMLVg\\u002f+MOP+\\u002f9maT++Tvw6z19zP5xt\\u002frLwDno\\u002f6rxxTc5fgD\\u002fkNvKATbiDP3XdrS5lEIc\\u002fSSEki5Jnij8VPOv+Yr2NP49S1uW6iJA\\u002fRs3Ri74xkj9vmP4vn9mTP3rTditJgJU\\u002fqWlBG7Illz9tAolK2MmYP2Izv+XBbJo\\u002ffZYyAHwOnD\\u002fGALZ2Ga+dP4NZt7qxTp8\\u002fzITEyK92oD\\u002fwANTpn0WhP1heuRs4FKI\\u002frnsLGYfioj81GT38mrCjP9ROStSAfqQ\\u002fB7wUUURMpT8ZpQOK7xmmP7C0ieCK56Y\\u002f99gy\\u002fxy1pz+2XNn0qoKoP7XCoWo4UKk\\u002fwsZo8scdqj9tmG1qW+uqPyDKOnL0uKs\\u002fyrAo7JSGrD+9R1GGP1StP9tVdEX4Ia4\\u002f\\u002fY0dDMXvrj\\u002fOhV8Yrr2vP20LUznfRbA\\u002fwhdAJAKtsD+MDmWXSBSxPxI2qSO9e7E\\u002fRwR0I2zjsT8oSNmsY0uyP4KZX3Kzs7I\\u002foM9ikmwcsz\\u002fmu6RVoYWzP8SpLt5k77M\\u002fbAAyyMpZtD+Hsxm\\u002f5sS0PzD7dAnMMLU\\u002fpGfKDo2dtT+He7XaOgu2P9+77aDkebY\\u002fVUz6RZfptj\\u002fMGF\\u002fwXFq3P\\u002fhB\\u002f6U8zLc\\u002fwcZD+Tk\\u002fuD8CtU3JVLO4P93BGRiJKLk\\u002fEPoB+c6euT+t3HuZGha6PzLkUGVcjro\\u002fYQfhRoEHuz\\u002flS0YDc4G7P4mycrEY\\u002fLs\\u002faV6jSld3vD\\u002f9yclREvO8PxUO244sb70\\u002f6ntS2ojrvT9MlKT0Cmi+Pxnl5WSY5L4\\u002fmy6KWRlhvz9Jed6Fed2\\u002fP6ZtX3vULMA\\u002f0hyEbM5qwD8xFjQWqKjAP2CsuC5i5sA\\u002f0R0g4QAkwT926sD6i2HBPx42KAYPn8E\\u002fsMELUpncwT9KhEHjPRrCP5w3MVETWMI\\u002fT7msjDOWwj++PZiRu9TCPzAcSATLE8M\\u002fipD0u4NTwz\\u002fnPhk8CZTDP4u\\u002fAx+A1cM\\u002fnko3dA0YxD8QSKEV1lvEP9Pe4Pb9oMQ\\u002fzLoYcqfnxD88peSV8i\\u002fFP2AiG3j8ecU\\u002fdWv9kN7FxT8tp10irhPGP\\u002fJ+FK57Y8Y\\u002f+ObcflK1xj82YFhGOAnHP17QmNIsX8c\\u002fclsZ3Sm3xz+B34\\u002f0IhHIPyuJd4IFbcg\\u002fDmel7LjKyD+9DaXSHirJP\\u002fGCCGYTi8k\\u002fLQhH3G3tyT\\u002f4MT34AFHKP14W4aibtco\\u002fWiZKugkbyz\\u002fhGsiVFIHLP0aIcQ2E58s\\u002fthNTLx9OzD\\u002f2aT0crbTMP3r3Gt71Gs0\\u002fcYi3OcOAzT9Kaft34eXNP8zhyCIgSs4\\u002fHv7ssVKtzj9FE+okUQ\\u002fPP1VqyYb4b88\\u002fpq2XWSvPzz\\u002fTPdnzaBbQP4v5zDxtRNA\\u002fegPGt5xx0D9P0mKf9J3QP2TubSl1ydA\\u002fgv0YaiH00D\\u002fIw44q\\u002fx3RP1S\\u002f5bMWR9E\\u002fGd63j3Jv0T9KE9c\\u002fH5fRP3Ypwe4qvtE\\u002f0DOWGqXk0T\\u002fpx2s8ngrSPzZD420nMNI\\u002fAp3qDlJV0j85uIVtL3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P0XCrYZ7Deo\\u002feRewRxMM6j9di7+YpgrqP6\\u002fHxzY6Ceo\\u002f5PBV1tIH6j\\u002f8B4IMdQbqPyGDbjglBeo\\u002f\\u002fjzZbecD6j+oMDFhvwLqP5ksmlWwAeo\\u002fZwU7Db0A6j+dNSS85\\u002f\\u002fpP9akDP4x\\u002f+k\\u002fC\\u002fYQz5z+6T+qrY+HKP7pP4cxKtvU\\u002fek\\u002fvIzg2qD96T8LcSz6iv3pP1iR7xaR\\u002fek\\u002f1Yf6g7D96T9aW+QV5v3pP1mr3zEu\\u002fuk\\u002fRcox3oT+6T\\u002fVwunT5f7pP7CFcZFM\\u002f+k\\u002faU+SbbT\\u002f6T8osIaqGADqP8BguIh0AOo\\u002fmhLOWMMA6j+GbLWMAAHqP\\u002f0pX8cnAeo\\u002fgILu6jQB6j9JRSklJAHqP3cTA\\u002frxAOo\\u002fEXorTJsA6j+7\\u002fZNjHQDqPxgX8PF1\\u002f+k\\u002fgVE9FaP+6T8352xYo\\u002f3pPxgQUrJ1\\u002fOk\\u002ffogAgxn76T9ecM2PjvnpP1loKf7U9+k\\u002fibGNTe316T91DrdQ2PPpPw5BaCaX8ek\\u002fi2LrMSvv6T\\u002f1GYUTluzpP30bB6HZ6ek\\u002fLJmo3vfm6T9FqkP48uPpP4h0DjvN4Ok\\u002f313eD4nd6T\\u002fwDvv1KNrpP\\u002fXffn6v1uk\\u002fE7g6SB\\u002fT6T+mrwz8es\\u002fpPxopk0nFy+k\\u002fNrwh5ADI6T8NZ9p\\u002fMMTpP68SzM5WwOk\\u002f9qX3fXa86T+omh4ykrjpP30\\u002fQYSstOk\\u002fbGq3\\u002fcew6T80LNQT56zpP6\\u002fnCyMMqek\\u002fjcWbaTml6T9ok7kBcaHpPxhnW9u0nek\\u002ft5OutQaa6T+zSF0YaJbpP\\u002flNyUzakuk\\u002fFG1oV16P6T+l+nPx9IvpP5BdIIOeiOk\\u002f8TmTHluF6T\\u002fF5s57KoLpPwj8x\\u002fULf+k\\u002fIAvWiP576T\\u002fjAavSAHnpPzhi9RMRduk\\u002fpIvIMy1z6T+j\\u002fdvEUnDpP2v\\u002fpgx\\u002fbek\\u002f4cRRDK9q6T+RTWiL32fpPyw3LiQNZek\\u002fRe1lUTRi6T9SaVF9UV\\u002fpP3R1pxFhXOk\\u002fPHcuiF9Z6T9dhKV7SVbpPwI0nrgbU+k\\u002faIflTdNP6T9pkxicbUzpPwZyAmToSOk\\u002fQHtk00FF6T+03s+PeEHpPxJcQL+LPek\\u002f\\u002fOQyDns56T\\u002fmMgCzRjXpP8KDUm7vMOk\\u002fdm6eiHYs6T86rZjM3SfpPyBqtX4nI+k\\u002ftZPQUVYe6T8sgzFZbRnpP7FSLvhvFOk\\u002ffSXEz2EP6T+43oiqRgrpP8vkZ2ciBek\\u002fLi+m4\\u002fj\\u002f6D9Jo7HkzfroP55qRAKl9eg\\u002fNT1mkYHw6D+yc9OQZuvoP58OTJdW5ug\\u002fhMVDxFPh6D9Jxl+zX9zoP19NH3N71+g\\u002fLvr5fqfS6D+IHCq9483oP02nQoAvyeg\\u002f9n2YjInE6D\\u002fICW4h8L\\u002foP0UCtwVhu+g\\u002f9rsxmNm26D8JwXviVrLoP2mRsa7Vreg\\u002fGMAVn1Kp6D++yipHyqToP4R5nUU5oOg\\u002f\\u002f71TXpyb6D91P+6T8JboPwJHCUAzkug\\u002fjbWMKWKN6D+TIWKYe4joPzQY9GV+g+g\\u002f4JbpCWp+6D+X3aSiPnnoPzdQJPn8c+g\\u002fisP+f6Zu6D87s1FNPWnoPxPVlg\\u002fEY+g\\u002fmJN2\\u002fT1e6D+vcc3ArljoP+NnOl0aU+g\\u002fXC2rEoVN6D\\u002fdSng880foP6YQvS1pQug\\u002fO2CuC+s86D9REMamfDfoP2L6plMhMug\\u002fOQunxNss6D\\u002fnp\\u002fDkrSfoP08kK7aYIug\\u002fNtaSMZwd6D+Dh1wttxjoP5\\u002fbLUfnE+g\\u002fyPRc1CgP6D+ItY3YdgroP8XtIgPLBeg\\u002fMkHWsx0B6D8wX6MGZvznPy4LC+eZ9+c\\u002f3FyJKq7y5z+jcfGxlu3nP8Z2OJFG6Oc\\u002fv2kTPbDi5z\\u002f8E6e9xdznP\\u002fd5aeV41uc\\u002fD\\u002f43i7vP5z86iI7Gf8jnP+uzuiy4wOc\\u002f4M\\u002faDVi45z8etXOwU6\\u002fnPy9Xaoqgpec\\u002f4no2djWb5z95ITPjCpDnPy+pBgAbhOc\\u002fOQU43mF35z\\u002fPMieO3WnnP66MxDKOW+c\\u002frAqMDHZM5z\\u002fv9nV7mTznP3A5vff+K+c\\u002fpwmLAa8a5z\\u002fqk8cHtAjnPzjafUYa9uY\\u002fqsttne\\u002fi5j+8MZFfQ8\\u002fmP6S+fRwmu+Y\\u002fN1yvZKmm5j+oF+GJ35HmP1MNsFzbfOY\\u002fIgbS6K9n5j9xuzAxcFLmP0K5Ou0uPeY\\u002fD5mzSP4n5j9L8T6n7xLmP9kmzGwT\\u002fuU\\u002fIMPty3jp5T9lpQWbLdXlP1QWCTE+weU\\u002fv0h1SrWt5T9qIt\\u002f2m5rlP0NCWY\\u002f5h+U\\u002fvDm6tdN15T+d6JtcLmTlP978vNcLU+U\\u002ffNQ\\u002f9GxC5T9UbxcYUTLlP5m3zGe2IuU\\u002fCgWl8ZkT5T+1IRfd9wTlP6zbZp3L9uQ\\u002f0s0wJhDp5D8a0aggwNvkP8GdTSDWzuQ\\u002f1X\\u002fb1UzC5D9KdlY\\u002fH7bkP1k\\u002fGdRIquQ\\u002fhznyq8We5D8f8XegkpPkP2zp5GetiOQ\\u002fD8bzqBR+5D9scmEHyHPkP4sz6SjIaeQ\\u002fP529shZg5D8+ErA\\u002ftlbkP4ytZU+qTeQ\\u002fRCMjL\\u002fdE5D+4TuDcoTzkP8rXduWvNOQ\\u002fEc3cPict5D91j3MfDibkP3twhNNqH+Q\\u002fFoUOkkMZ5D+sNgxSnhPkP8b3UqGADuQ\\u002f\\u002f1Akfu8J5D90g3U07wXkP6Sw2j+DAuQ\\u002fnWvkMq7\\u002f4z9Ehpukcf3jP7qunyTO++M\\u002fHPdCNsP64z\\u002fCsM9ST\\u002frjP7Au+PJv+uM\\u002fRiJCnyH74z8ichIHYPzjP4m50x0m\\u002fuM\\u002fPRKKPW4A5D9mWQNOMgPkP0CgtO9rBuQ\\u002fSqg8qRQK5D+twXAWJg7kP9qTzReaEuQ\\u002f+I0gAWsX5D+OF0HGkxzkP9ULuiQQIuQ\\u002ff19Uydwn5D9Npopw9y3kPyr+CQFfNOQ\\u002fVwOHnxM75D99EVS7FkLkP1FRUBNrSeQ\\u002fXOzzshRR5D9QLWznGFnkP6Q86Sx+YeQ\\u002fWnZtFExq5D8y85oii3PkP7XBJahEfeQ\\u002fwXm3lIKH5D+aazJFT5LkPyfjXk61neQ\\u002foykjRb+p5D\\u002fhmHaFd7bkP3HXSPnnw+Q\\u002fZwOY4BnS5D\\u002fEIOubFeHkPy60WXri8OQ\\u002f71Y2jIYB5T+ouFh7BhPlP0+H5GllJeU\\u002fWc9G2KQ45T87a\\u002fuSxEzlP0D2gKjCYeU\\u002feGy0Z5t35T8DOJ9mSY7lPyn2k5HFpeU\\u002fP8hIQge+5T+xl3JeBNflP\\u002fJIPH2x8OU\\u002fClfQEgIL5j9EhQuh6CXmP\\u002f7uVOxWQeY\\u002fOE6DMz5d5j\\u002f3Qalpj3nmP33ymnA7luY\\u002fcsX+UjOz5j+S28B8aNDmP52XzfDM7eY\\u002fRxcKe1ML5z8A1pnd7yjnP4AFnviWRuc\\u002frMe86z5k5z98iuMw34HnP\\u002fRv369wn+c\\u002f4vCPyu285z+p1qFhUtrnPzI+6tGb9+c\\u002fUaOh6sgU6D+8C+Xc2THoP4FxBiXQTug\\u002fysNUbq5r6D+sjB5yeIjoP8D5x9Iypeg\\u002fqD3d8+LB6D\\u002fnuhTQjt7oPzoAOc48++g\\u002fqVPxlfMX6T8ThFjluTTpP0o8RWiWUek\\u002fyo0Vko9u6T81Xrl6q4vpP112nb\\u002fvqOk\\u002f\\u002f9f7aGHG6T9\\u002fhPbTBOTpP67RwKHdAeo\\u002fkan5q+4f6j+hdjf+OT7qP+bepdTAXOo\\u002fL5t2n4N76j9VZ8oKgprqPy7qnQq7ueo\\u002f5xUx6izZ6j+nXk5e1fjqP16TypmxGOs\\u002fyV+OY7446z9hnXct+FjrP1OTYitbees\\u002fyPSxaeOZ6z87hLfijLrrP1xjbpJT2+s\\u002f6b0KiDP86z9xGfj0KB3sP9169zgwPuw\\u002fXRQo60Vf7D+Sid\\u002ffZoDsP29QUSuQoew\\u002fvYseIb\\u002fC7D\\u002fXNQBR8ePsP9\\u002fo04AkBe0\\u002f\\u002fmJnpFYm7T+AjW\\u002fThUftP3bcJD6waO0\\u002fKfkHIdSJ7T\\u002fen1a476rtPyhLuTMBzO0\\u002f17iuqgbt7T8UqjIS\\u002fg3uPyS4ETTlLu4\\u002fywtNqLlP7j+Nrd7QeHDuP22HGtgfke4\\u002f06vRsaux7j9MsEUfGdLuP9Oa4bVk8u4\\u002fG7iV6IoS7z9ZapwTiDLvP31HWIpYUu8\\u002fHVnopvhx7z9tlv7aZJHvP9ZBd8GZsO8\\u002fDB4mMJTP7z+pv0hJUe7vP83oBUZnBvA\\u002fMgPK8YQV8D\\u002fdUAHagCTwPxxvfHJaM\\u002fA\\u002fgFWWdBFC8D8Z\\u002fFnhpVDwP1DE4AEYX\\u002fA\\u002fAjvTZWht8D8kzQLgl3vwP4WbIIGnifA\\u002fx1yjkJiX8D9a0PuDbKXwP2VHRPQks\\u002fA\\u002f1tujksPA8D+EuagbSs7wPwwQ5km62\\u002fA\\u002fhZYpyBXp8D84waEjXvbwP5e3UL6UA\\u002fE\\u002fnJ4owroQ8T9Z2ysV0R3xP1mM507YKvE\\u002fCLGXr9A38T8qcDsZukTxPwbb1AqUUfE\\u002f96wCnl1e8T93KxSHFWvxP\\u002fvLpxe6d\\u002fE\\u002fKwTVQ0mE8T+tENGpwJDxP3n57ZsdnfE\\u002f6xjDLF2p8T+GVT89fLXxP0GAV4x3wfE\\u002faED3x0vN8T9u+dCe9djxPz9yodJx5PE\\u002f3vF2Sr3v8T\\u002foMYkk1frxP1sMMMe2BfI\\u002fxTGK8F8Q8j+9dGvEzhryP5wxM9gBJfI\\u002fU+E2PPgu8j\\u002fcuHqCsTjyP2AHgsItQvI\\u002f\\u002fXISmm1L8j9w2NcqclTyPyL36RQ9XfI\\u002fu8JIbtBl8j+0rXe3Lm7yP+8Kc81advI\\u002fvUJM2Vd+8j+Tlck9KYbyP64ZdIPSjfI\\u002fziWKQ1eV8j+PI1USu5zyP7uKZ2kBpPI\\u002feF9Kki2r8j9S2SCSQrLyP9jTxBZDufI\\u002fQ17XZTHA8j\\u002fSUjZOD8fyPxOGOhzezfI\\u002fZCQSkZ7U8j9llHjdUNvyP44a+Z\\u002f04fI\\u002fGv3T5ojo8j\\u002fFiYc1DO\\u002fyP22q54189fI\\u002f4zaYfNf78j\\u002fUd6goGgLzP+Ph+WVBCPM\\u002fWnUJykkO8z\\u002fU4KLCLxTzP8Xv9q3vGfM\\u002fFU+E84Uf8z8vlTod7yTzPxz2O\\u002fAnKvM\\u002fQ0GihC0v8z+Zvq9b\\u002fTPzP+kv3HOVOPM\\u002fUns5WvQ88z9JG7o4GUHzP70N9eADRfM\\u002f1joX07RI8z+Xt8hALUzzPydb5AtvT\\u002fM\\u002fU0j5wHxS8z\\u002fKtqeNWVXzP2fTAzMJWPM\\u002f\"},\"y\":{\"dtype\":\"f8\",\"bdata\":\"\\u002fCBJ6OkN67+uPw6nORfrv29l7eF8IOu\\u002fPRiJD7Up678dAK6\\u002f4zLrvxRIXY0KPOu\\u002fyU8CDytF679dVlrFRk7rv4yWowlfV+u\\u002fxbyz+3Rg67\\u002fAUZtwiWnrv6RlfOKccuu\\u002fj1s2Yq97679BM3+LwITrv9tB9HvPjeu\\u002fYUSZzdqW678ZiSWV4J\\u002frv8IqZGTeqOu\\u002f4rLOUNGx67+xs2n+tbrrv4\\u002flya6Iw+u\\u002f9fIGVEXM67+wVUCn59TrvxlmOUJr3eu\\u002f+e90u8vl6788KB\\u002fEBO7rv82I\\u002f0YS9uu\\u002fAJ6bh\\u002fD9679EyahAnAXsv53j5cASDey\\u002fm812BVIU7L\\u002fMh+PQWBvsv3lh6r0mIuy\\u002flvloTbwo7L+y3bnuGi\\u002fsv+sBBAJFNey\\u002fFXMd1D077L8YsMqTCUHsv8UeT0CtRuy\\u002fBwdwkS5M7L+tSznZk1Hsv52NAODjVuy\\u002fo1dPuyVc7L8TLIagYGHsv1+wL7SbZuy\\u002fN6Ub191r7L+j4XNyLXHsv75FEUSQduy\\u002fZdZiLAt87L9+YD3\\u002foYHsv6jD5VhXh+y\\u002fCyubeCyN7L9rFdEhIZPsv4NXK4Uzmey\\u002fL7coMmCf7L9EATwSoqXsvzxv4G3yq+y\\u002fNNr9+0iy7L8Sy7T7m7jsv8pDa1jgvuy\\u002fyJKy1wnF7L\\u002ffHV5QC8vsv2pe5OnW0Oy\\u002fXs7nYl7W7L92xI5dk9vsv1ekILBn4Oy\\u002f86Y1uM3k7L8GB6auuOjsv9GRTvoc7Oy\\u002fukm0f\\u002fDu7L\\u002fdio\\u002frKvHsv+BPUfbF8uy\\u002fEurKnr3z7L\\u002fskEFaEPTsv1UtYzi\\u002f8+y\\u002fDgbI+c3y7L\\u002fyg+wXQ\\u002fHsvx3+1b0n7+y\\u002frf3jsIfs7L8AIKMpcensv5j3zZz05ey\\u002fWjIBdSTi7L8++AC+FN7sv1f3w8La2ey\\u002fnPjKn4zV7L9lQpjLQNHsvzKuXpcNzey\\u002f4IY7qgjJ7L+zhH55RsXsv\\u002f1Hp8DZwey\\u002frH3W+9K+7L92nnnnP7zsvwx88gcruuy\\u002fUmLnO5u47L\\u002fFlMVbk7fsv0XUzugRt+y\\u002fUh7MzRC37L8gCTUzhbfsv\\u002fhRRWhfuOy\\u002fZfga4oq57L+dZpBR7rrsv\\u002f+nGdBrvOy\\u002fRa17I+G97L+TVcMXKL\\u002fsv0qtce4WwOy\\u002f4Nxl4YDA7L9h2qW3NsDsv\\u002f9Dx2kHv+y\\u002fXN5j08C87L+B4rpuMLnsvxwzYxcktOy\\u002foBjE0Gqt7L96W+uM1aTsv95ASfA3muy\\u002fY4HdDmmN7L9X4nMfRH7svxBpsyGpbOy\\u002f55X3c31Y7L\\u002fKwC5WrEHsv+ZaSlcnKOy\\u002fePIrq+YL7L\\u002fRl2Jn6ezrv\\u002f+nfaU1y+u\\u002fF9cxitim679ERgkx5n\\u002frvyQS1Xx5Vuu\\u002fGKGTzbMq67\\u002f2mvicvPzqv\\u002fF6NwPBzOq\\u002f9tMdJvOa6r+ji+yUiWfqv8iYtZO+Muq\\u002f8I1MWc\\u002f86b\\u002fiBRJD+8Xpv9XRCwKDjum\\u002fDtDUxKdW6b9QLPdhqh7pvxFrOobK5ui\\u002f5E1U6kWv6L90\\u002fUCTV3jov1bnTCA3Qui\\u002f2KeSKRgN6L8As1qxKdnnv2UEa6qVpue\\u002fXOjslIB157\\u002fUFSAzCUbnv8gVn1ZIGOe\\u002frquDxlDs5r8Z9kQ+L8Lmv5SftoTqmea\\u002fSvAimoNz5r+hARP89U7mv6Op+vw3LOa\\u002fFK2qLTsL5r\\u002f\\u002f3iTW7OvlvxJFNHs2zuW\\u002fkg4Abv6x5b+9xbNiKJflvxDtSQuWfeW\\u002fby6Isydl5b9BCk3bvE3lv2brbcw0N+W\\u002frr2QKW8h5b\\u002fMbKRzTAzlv3ue3oOu9+S\\u002fzepw+Hjj5L8tAnuSkc\\u002fkvzyxF4Tgu+S\\u002fBo6+rVCo5L+\\u002fS5HKz5Tkvz88iItOgeS\\u002fx3XLocBt5L9Hkdu4HFrkv\\u002fJJfGFcRuS\\u002fu+ma7nsy5L+KCKlFeh7kv9eYGKRYCuS\\u002fu7DPWxr247\\u002fhVoiIxOHjv+qEIsBdzeO\\u002fOHz0v+24478Zrx8ZfaTjv6xU390UkOO\\u002f7PqpUb5747+F\\u002fNmdgmfjv0LKYoxqU+O\\u002fg8XjSX4\\u002f47\\u002faZi4wxSvjv+4hFppFGOO\\u002fH3sewQQF47\\u002fPr1ilBvLiv+vAf\\u002f9N3+K\\u002fNCkhPdzM4r\\u002fFhGOGsbriv7xAxMzMqOK\\u002fsUTz4SuX4r+vbMiVy4Xiv+lvK9qndOK\\u002fiRKs67tj4r9VpnZ9AlPiv3AUSOd1QuK\\u002fOOUEVBAy4r9UuJ\\u002fvyyHivzvlDBOjEeK\\u002fFeUZbZAB4r8K3B4nj\\u002fHhv6ohpgSb4eG\\u002fEu1PfbDR4b97GmbQzMHhv8sdxBHuseG\\u002fblroLxOi4b+v\\u002fjTzO5Lhv\\u002fzqlfZoguG\\u002ftvDtmZty4b+Cudbu1WLhv1v8YqAaU+G\\u002fy3Cx1mxD4b\\u002f8izcX0DPhv\\u002fz7vCJIJOG\\u002fhroL0tgU4b9FUFzyhQXhv1GHgiJT9uC\\u002fGJLUsUPn4L8J+7WBWtjgv+0VmeqZyeC\\u002fr9otpQO74L\\u002f621S4mKzgv9RdSWxZnuC\\u002frmdPQ0WQ4L+NFQv4WoLgvzpzfoGYdOC\\u002fJOKDHPtm4L9Ic3Vaf1ngvwexjjQhTOC\\u002f\\u002fvB2I9w+4L+zM0c6qzHgv7h8SESJJO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wYUC1L+xcOeASzfUv9eqswwbbNS\\u002fY0tbYO6g1L9ClvFxwdXUvzKVL1GSCtW\\u002fhxGeOWE\\u002f1b+Ho4aXMHTVv\\u002fiNRv8EqdW\\u002fVIftFuXd1b9J0WNy2RLWv3oupGLsR9a\\u002foIHluCl91r+kRdt+nrLWv3\\u002fKeaVY6Na\\u002fAoXpq2Ye17+kNIpA11TXv1nTEd64i9e\\u002fZwTzZhnD17+7LUrBBfvXv2\\u002ftlnWJM9i\\u002f4eyAUq5s2L8KINMXfKbYv6qdtyr44Ni\\u002fowQRVSUc2b9st5WRA1jZv89KDuaPlNm\\u002faL3MTMTR2b+XGB+ulw\\u002fav7LCJ+r9Tdq\\u002fFBAq8+eM2r9jjPz3Q8zavwQt9p39C9u\\u002fXThSSf5L27\\u002fXP7JyLYzbv8gMGAhxzNu\\u002fFKNs160M3L\\u002f8JG8AyEzcv5LZt2ujjNy\\u002fLQFaRCTM3L8gWptxLwvdv63LMg6rSd2\\u002fZs+I2n6H3b8OyYunlMTdvx0W0LfYAN6\\u002fLm\\u002fmFDo83r+qLxLXqnbev9HV0l0gsN6\\u002fU\\u002fcGeJPo3r8GHsl6ACDfv+yJhkZnVt+\\u002fAIMyOsuL378MhdwUM8Dfvw3aUcao89+\\u002fG\\u002frolxwT4L+N7xrr+Svgv3kynkN1ROC\\u002fqBj6eZhc4L8s0jwhbnTgv1DptkwBjOC\\u002fYhvXU12j4L+6D3SVjbrgv9a20zud0eC\\u002fWNW6Apfo4L+EjMIAhf\\u002fgv87cHXVwFuG\\u002f+JzemmEt4b9xzKiCX0Thv85BnfNvW+G\\u002fZV4aVJdy4b+VnsOa2Inhv7uiEEg1oeG\\u002fTsFyaK244b8lfe6eP9Dhv4p91Tfp5+G\\u002fegAfQ6b\\u002f4b8IQ7G1cRfivzMGx5BFL+K\\u002fcw56DhtH4r\\u002ffBV\\u002fS6l7iv\\u002f4qCR2tduK\\u002fNCs9AVqO4r9DxJKZ6aXiv9pyRD1UveK\\u002f7IjzspLU4r\\u002flUjVgnuvivxoc03RxAuO\\u002fLGLCEAcZ479utPtjWy\\u002fjvyvIfMdrReO\\u002fSlDszjZb478CI4NSvHDjv2UcDXH9heO\\u002frt0Divya479q5vQvva\\u002fjv7B0khNExOO\\u002f0gj655bY47+7VONAvOzjv+DejWu7AOS\\u002ftt9hQ5wU5L9pNFEDZyjkvxQbFxUkPOS\\u002faWyA39tP5L9\\u002f8OmUlmPkv7M1HwNcd+S\\u002fkRK6ZTOL5L\\u002fGAxI8I5\\u002fkv2VPsyMxs+S\\u002fkdw4uGHH5L9GskF5uNvkv+TvFLc38OS\\u002fdLNdhuAE5b9wyzy7shnlv75NweusLuW\\u002fnUysecxD5b+3+TejDVnlv4SccJprbuW\\u002fNdWGouCD5b86m18yZpnlv0ATiBv1ruW\\u002fwWiatIXE5b+b3A0GENrlv3+eX\\u002fiL7+W\\u002fVgl8gvEE5r+RmFDXOBrmv8JPdpFaL+a\\u002fjSHy209E5r9FwxyXElnmv4jD3Hidbea\\u002fPAR8J+yB5r\\u002fRH4RO+5Xmv\\u002fnrMq3Iqea\\u002f\\u002fUdAHlO95r9tu9eYmtDmv6UU0iqg4+a\\u002f1zhk7GX25r80sJ\\u002ft7gjnv209Rh4\\u002fG+e\\u002flR6TMFst57\\u002fiqrl3SD\\u002fnv34w8cIMUee\\u002f6LX4Na5i5791KwogM3Tnv4RoO9Khhee\\u002fNutLdgCX57+fwdjmVKjnv\\u002ft95Imkuee\\u002f6vCPLvTK57+bGMruR9znvw7aohWj7ee\\u002f5WfNCgj\\u002f57\\u002ffer1DeBDovzePpjr0Iei\\u002fxCF\\u002fa3sz6L+BVARXDEXov+BilYukVui\\u002fL8yas0Bo6L+58Aup3Hnov0TZh41zi+i\\u002fxbVb5v+c6L8S6ru7e67ov565Y7rgv+i\\u002fxizEVijR6L+u1uTwS+LovwXLGPhE8+i\\u002fTkOvDQ0E6b8C+tElnhTpv9LG0qXyJOm\\u002f8BY+fwU16b\\u002fn4B9H0kTpvx4GBElVVOm\\u002fy\\u002fJYlYtj6b\\u002fz6\\u002foKc3Lpvz8Dz1sKgem\\u002fkj11DFGP6b9ZRDlvR53pv00oh5ruqum\\u002fYolFW0i46b9ZMo8jV8Xpv5hAW\\u002fYd0um\\u002fLsqzUKDe6b8RNycR4urpvyPtJ17n9um\\u002fb1sQjLQC6r+m434DTg7qv5e3tSi4Geq\\u002fHcKeRPck6r\\u002fbfgNwDzDqv0m7dIEEO+q\\u002fCDRH\\u002ftlF6r98iPAOk1Dqv8TP9HYyW+q\\u002fFPx4kLpl6r8Q+3FLLXDqv5vqTDCMeuq\\u002f+5bSZdiE6r\\u002fHffC5Eo\\u002fqv\\u002fVy\\u002fKw7meq\\u002fH1T2flOj6r8Acz0+Wq3qv1TrJddPt+q\\u002f6jPVIzTB6r+iCc37Bsvqv1lTkELI1Oq\\u002faa7W9Hfe6r\\u002fdr9AzFujqv3ssEE6j8eq\\u002from8xR\\u002f76r\\u002fMmNJTjATrv\\u002fwgSejpDeu\\u002f\"},\"z\":{\"dtype\":\"f8\",\"bdata\":\"d73RQGkIxj9azhbtNJDFP14FjyozGMU\\u002fx9CqGFmgxD\\u002fphocvmSjEP3Zywk7jsMM\\u002fGFdF4SQ5wz9o49UVScHCP6Rloys5ScI\\u002fzmGC0dzQwT+N5P+VGljBP0QN+mXY3sA\\u002fDor7FvxkwD9NOW\\u002f019S\\u002fP6OvbOke3r4\\u002f0qQOMp\\u002flvT8tm1t9L+u8P77x2ias7rs\\u002fdYZWRfjvuj+UN3Se\\u002fu65P1NPT3iy67g\\u002fxV\\u002ffQhDmtz9BfskTHt62P9vLLfDr07U\\u002f4XwY4ZPHtD8E82zQObmzP9ccZC0LqbI\\u002fGr0FWT6XsT\\u002fTq1bcEYSwP8sgidaW364\\u002fk+0zcW21rD+MRuhASIqqP9lXjl\\u002fOXqg\\u002feHHbIKozpj9BSxTEhQmkP2+OMhEI4aE\\u002fjdL956F1nz\\u002fnDy5Q7C6bP3qKnBEA75Y\\u002fZbe+Ls22kj+xGfgjOw6NP\\u002ffEFLQgwYQ\\u002fQZU7zlcOeT8J7U3HaINhPwgvQzvzjV2\\u002fTSpglOJhd78vXEwbe52Dv8y6SWl\\u002feIu\\u002fVxBGGcKhkb84j6isNYCVvzKXEBK1WJm\\u002fDh9ben8snb81n4RaeX6gvyw9CUvCZaK\\u002f9nHr6d1MpL9\\u002fQ\\u002flBlDSmv9IsIjCuHai\\u002fgAyRf\\u002fEIqr968TEVHferv4d+U0Dl6K2\\u002fPvhuRfDer78+ZYCb6eywv1NNYZcH7bG\\u002feerHewfwsr8ZU+iaEvazv1ZHwYxF\\u002f7S\\u002fWS300K8Ltr8eJtO7Uxu3vzmJUq8mLri\\u002fWSLNnhFEub9wxc3a8Vy6vyVUXyCaeLu\\u002fcRTI5dOWvL\\u002fp1RfdYLe9v5XOmqP82b6\\u002fxoUdlF7+v7873H\\u002fYHZLAv85yMU2kJcG\\u002fPegowp25wb\\u002fbAUoQ503Cv9V9\\u002frdf4sK\\u002fESC1t+p2w78qfKZKbwvEvwW1w4rZn8S\\u002f0nBI8Ro0xb8aZRqyKsjFv9KE6u4FXMa\\u002fi9Tpv6\\u002fvxr9Yh9EQMYPHv9899lGYFsi\\u002fM7Yb\\u002fvipyL+\\u002fbrv2aj3Jv7kmaLkJ0cm\\u002fzEjkcfNkyr+56FztR\\u002fnKv\\u002fkbAXQnjsu\\u002fN5XZjrEjzL8Qi1LAA7rMv0K0VjY4Uc2\\u002fANkifWTpzb80Nxw6mILOv1Se7\\u002fXbHM+\\u002fuHET\\u002fS+4z7+1G7quRSrQv1WzzYPteNC\\u002fX32CjADI0L9fbk4qahfRv4CUwuYPZ9G\\u002fk\\u002fuqY9G20b9\\u002ftgFniAbSvzllQgMJVtK\\u002fLiwe3CGl0r+gPwGHnPPSv3jRTQY+QdO\\u002fwkKnXceN078wxyY99tjTv+zf2sCFItS\\u002fCq2HQS9q1L+DTkEzq6\\u002fUv0hSLQ6y8tS\\u002fGxN+Pf0y1b8EKpQQSHDVv\\u002fB4H6pQqtW\\u002fg0Yb6djg1b\\u002fdWJdHpxPWvzCFaquHQta\\u002f9OUoJUxt1r9NmQeazZPWv3Put1Xstda\\u002fbk+ygZDT1r\\u002fdweN\\u002fquzWv1YTNSczAde\\u002f9QLu4CsR1791MYamnhzXv4N1BuCdI9e\\u002fA4esI0Qm179+9Q3YsyTXvz1Ye7oWH9e\\u002fPw3fS50V178rWsEmfgjXv+VIfEH199a\\u002f6mL6H0Pk1r\\u002fdEJv4q83Wv5bOBNB2tNa\\u002fu+nHj+yY1r+G27sbV3vWvxmX9WkAXNa\\u002fjd8WoTE71r\\u002fqwIZAMhnWvw7Y4lVH9tW\\u002fwLepwrLS1b92QsKUsq7Vv4VPHHSAitW\\u002fB6s2J1Fm1b\\u002fs2N8vVELVv9l7DIGzHtW\\u002fUl8iTpP71L8Lb5zzEdnUvwjKdPhHt9S\\u002fufVQJ0iW1L9tHwO+H3bUvxlNlLHWVtS\\u002fhgu4BHA41L\\u002fF90Mu6hrUv6iSDY0\\u002f\\u002ftO\\u002f\\u002feZn5mbi078kImHsU8fTv7lw1sj3rNO\\u002fHgZ6qkGT079vpPtQH3rTv\\u002fxqppV9YdO\\u002f5AX27UhJ078TM+DlbTHTv\\u002fZb1I\\u002fZGdO\\u002f7v2\\u002f6HkC078v5LkuPuvSv3bSTSkX1NK\\u002fdS68Yve80r\\u002fecdtR06XSvxnEoXShjtK\\u002fXCeyW1p30r9HbZin+F\\u002fSv8oVqPh4SNK\\u002f9e6y0tkw0r\\u002fCnAN2GxnSv5cyNa8\\u002fAdK\\u002fMROjn0np0b8f\\u002fEKAPdHRvz9VxmAgudG\\u002ff7ff5Peg0b\\u002fWg34ByojRvwH0vLuccNG\\u002ftyMe63VY0b92MpIAW0DRv0EAiNNQKNG\\u002f3X0fdlsQ0b+ZgVYRfvjQv+UHzsm64NC\\u002fqj+IrRLJ0L+TOsKqhbHQv0QJ0I8SmtC\\u002fj86oE7eC0L9lMpvmb2vQv3m0cso4VNC\\u002fTqgssQw90L957Djh5SXQvwNNJx6+DtC\\u002fvb0eqR3vz78QX+uPosDPv4rB3IL9kc+\\u002fXgCFeyFjz7+LcdQzAjTPv1alg3mUBM+\\u002fSDbzec7Uzr+y18AEqKTOv6VRmcMadM6\\u002fmUweZiJDzr9GygrBvBHOv2KxF+Dp382\\u002fq614Cqytzb8rrx66B3vNv4t8PoYDSM2\\u002fbjLlAagUzb8HgKiP\\u002f+DMv32DuysWrcy\\u002fIiviLfl4zL86EOMEt0TMv8VGMu1eEMy\\u002fC1eepADcy7\\u002feh8scrKfLvwojQS5xc8u\\u002f2Qq5TV8\\u002fy7+qrkRFhQvLv09HtPLw18q\\u002f\\u002fYh\\u002fDK+kyr+FGzvuynHKv2W2bW1OP8q\\u002fVFNct0ENyr\\u002fyLSg4q9vJv6PWXIuPqsm\\u002f+A3SdfF5yb\\u002fA3I3o0UnJvxPEIAwwGsm\\u002fJxPJUwnryL8CZoSXWbzIvxnHFzQbjsi\\u002fXWoAMEdgyL8NwDBk1TLIvwTBd6e8Bci\\u002f95ty+\\u002fLYx79u9PK5bazHv7oL1cEhgMe\\u002f7qpYogNUx79\\u002fiCzEByjHv3oXfY8i\\u002fMa\\u002fMwt8jkjQxr\\u002fMJvyLbqTGv9Tw462JeMa\\u002f5F9gi49Mxr\\u002fhYeU+diDGv\\u002fElLHQ09MW\\u002f7lh9csHHxb\\u002fbN68jFZvFvyjLUxgobsW\\u002fKVCiifNAxb++da9ZcRPFv9ODihKc5cS\\u002f3eHR5G63xL+U9kem5YjEv+mD4tD8WcS\\u002fAwa7grEqxL\\u002fo\\u002fy5\\u002fAfvDvxRkZDHrysO\\u002f8WFJsG2aw79L3gjEiGnDv0bKzuw8OMO\\u002fdn2aaosGw7\\u002fPNMJFdtTCvxXZslcAosK\\u002f5hhjUy1vwr\\u002fAdOHMATzCv725Wj+DCMK\\u002fKgjyELjUwb\\u002fIL8WTp6DBv7YEgANabMG\\u002fzDzvftg3wb9ZKRf9LAPBv7rFaz1izsC\\u002fb4HlsoOZwL9gHtBpnWTAvxYNVui7L8C\\u002focbjE9j1v797hy+sdYy\\u002fvz5hIaVqI7+\\u002fFU1RpNC6vr+ArumAwFK+v3u0MNdR672\\u002fHjkUmpqEvb+9ruukrh69v8IkxU+fuby\\u002fnhOmCHtVvL\\u002f2gi30TPK7v9Wj+pcckLu\\u002fyPQgke0uu78rqclYv866v0L16RiNb7q\\u002fYxGwkk0Rur+wlfYX87O5vwX7sJhrV7m\\u002f74\\u002fexKD7uL8CUCVDeKC4v0E3xvvTRbi\\u002f\\u002fX0rd5Lrt79gSuFOj5G3v4N9Xa+jN7e\\u002fqPKV6Kbdtr8lRwgLb4O2v6BfhY7RKLa\\u002fv2jP\\u002f6PNtb8gxuSxvHG1v+ysrm\\u002fzFLW\\u002fehG4KiK3tL8Pt5GjJVi0vxrNmgje97O\\u002fhVoKiC+Ws7\\u002f6HkzSAjOzvxF7CopFzrK\\u002fOOWUn+pnsr+lo7WV6v+xvy3Vd65DlrG\\u002fYN3V\\u002fvkqsb8RecVoF76wv99Xl3urT7C\\u002fRI1Cdpa\\u002fr7\\u002f+z1GdId2uv7vO\\u002fTE2+K2\\u002fo6xZdxoRrb90BgAPHCisvxmuLrqOPau\\u002fpWjPAMtRqr+onM\\u002fELGWpv42DgcgReKi\\u002fTQz2LtiKp7\\u002fIW0793J2mv2+s7qN6saW\\u002fxxlDlgfGpL\\u002faPWv31NujvyzapWEt86K\\u002ftyu9zVMMor\\u002fGtwKfgiehvxyTotfqRKC\\u002fVBN+8GbJnr+LIsYZ8g2dv5B94tCaV5u\\u002fg2yWHW+mmb\\u002fBzw+aZ\\u002fqXvxuIZPxnU5a\\u002fCSF29D+xlL\\u002fWuhZYrBOTv\\u002f\\u002f6+pVYepG\\u002fb9bNzcDJj78tNThno6WMv+siw0pdh4m\\u002fcrgYrd9thr+1S3QwDViDv8Kh64S+RIC\\u002fLJT3EI5ler\\u002fhD2ql8kF0v5aovGSuOGy\\u002fu5ak3N7JX7\\u002fbNwwAeSI8v75GVqud2lE\\u002fGKrnCb1zZT9hIYydPAlxP2\\u002fdp3JRZnc\\u002fx\\u002fS\\u002fznnSfT8Vf2BNbieCP0qNCWk0boU\\u002f2z4QKeq9iD9tIJa9zRaMP5+Fk8oAeY8\\u002fb1cnekRykT9GHnleqCyTP1mc1FSU65Q\\u002f0tukUuSulj\\u002fZ3ULLaHaYP1f354\\u002fnQZo\\u002fLPPLvxwRnD9f0BfEu+OdP8vdw1NwuZ8\\u002fuKj7ve\\u002fIoD++PgVVVLahP8qyblqzpKI\\u002fjGbicdiToz9ADe34jYOkP\\u002f2ifIadc6U\\u002fL1oTaNBjpj+Un7gc8FOnPyXA083GQ6g\\u002fvTowxh8zqT8\\u002fqnLnxyGqP0xePh6OD6s\\u002f7n831UP8qz\\u002fB8+xmveesPxtgiY7S0a0\\u002fsaz11l66rj\\u002fZJ9sHQqGvP49g2UcwQ7A\\u002fLh7m9NG0sD+3Y3t\\u002ffSWxP6J5mz8tlbE\\u002fZdFfmd4Dsj8ibhsgknGyPy+SF7NL3rI\\u002ffzPWkhJKsz+jKsVt8bSzP4B8VWP2HrQ\\u002fyPh7\\u002fDKItD9l3rsYvPC0PwktAc+pWLU\\u002f41W+QRfAtT\\u002fiafdlIie2PySxIr3rjbY\\u002fsYcKApb0tj\\u002fx7STJRVu3P1fBIBUhwrc\\u002feS614E4puD8grAuf9pC4P3GmZbQ\\u002f+bg\\u002fp+ji6FBiuT+yzYrXT8y5P9hp7ltgN7o\\u002fN3vjAKSjuj\\u002feePVyORG7P1tIOvk7gLs\\u002faP0598Lwuz\\u002fI54t64WK8P5rMrtal1rw\\u002f0op2URlMvT\\u002fQCi\\u002fiP8O9P8IJTAUYPL4\\u002fdkQoppq2vj+vQfYfuzK\\u002fPzJem1ZnsL8\\u002f33De88MXwD93k+g5AFjAPwlkR\\u002f\\u002fXmMA\\u002f7vnNsjjawD8tnPX1DRzBP8T04etBXsE\\u002fBrKGkL2gwT+nIYwWaePBP028aEosJsI\\u002floAF+e5owj9KOitYmavCP34N6G4U7sI\\u002fy0oXfEowwz+G8DlZJ3LDP5hT3NeYs8M\\u002fJQPdF4\\u002f0wz81qgnV\\u002fDTEP5jSr6rXdMQ\\u002feibwSxi0xD8kGNqvuvLEP22CkjC+MMU\\u002fSIoInSVuxT\\u002ffXf8896rFP9Led8c858U\\u002fCUnJSwMjxj9I9\\u002fkNW17GP\\u002foAKFdXmcY\\u002fWicLOw7Uxj+PE81TmA7HPzMYoXUQScc\\u002fE4CoW5ODxz8IJstPP77HP+oIPc8z+cc\\u002fwXFwLZE0yD9E9jA3eHDIPxNKltcJrcg\\u002fwc9mwGbqyD+9zGEXryjJP0bhwCkCaMk\\u002f2PYQJ36oyT+DdE3kP+rJP5yM7qdiLco\\u002fT1te\\u002f\\u002f9xyj9p3gmeL7jKP7AhBEYHAMs\\u002fbeb0uZpJyz+rG9K3+5TLPwkkrvs54ss\\u002fqn+1SWMxzD+CLU5+g4LMPzn4KqOk1cw\\u002fq7YNCM8qzT\\u002fH3+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2fnthEr5l77D9ZefoAqXrsP71+ZsHIeew\\u002fmUraHPt47D\\u002f+fuDxQXjsP4caKc+ed+w\\u002ftKqt8hJ37D8w0vVJn3bsP\\u002f34X3NEduw\\u002fwJROwAJ27D9jHBg42nXsP6ptlpvKdew\\u002fUCwyadN17D8qZEfh83XsP3hswgorduw\\u002fxJbWt3d27D9VgbOK2HbsP5bMIfpLd+w\\u002f6lb0VdB37D8H1T\\u002fLY3jsP5h9T2gEeew\\u002fa11SILB57D9JpcHOZHrsP+GuhDoge+w\\u002fCnbbGOB77D+4sRsQonzsP8t+T7pjfew\\u002fOZPGpyJ+7D9MKKxh3H7sP6gltGyOf+w\\u002fSZnxSzaA7D9OL+eD0YDsP6o04J1dgew\\u002f3MmdK9iB7D\\u002fgWGDLPoLsP91DUSyPguw\\u002fZzNME8eC7D9XkQJg5ILsP369bhLlguw\\u002fgIuHUMeC7D8zxR9siYLsP+Tq2Ogpguw\\u002f72IMgqeB7D\\u002f43IowAYHsP1gADzA2gOw\\u002f6ac+BEZ\\u002f7D9uChV9MH7sPzdOkLr1fOw\\u002f8zF+L5Z77D9xsUWjEnrsP8nXjjJseOw\\u002f8z2uTqR27D9+9L67vHTsP\\u002f6wW423cuw\\u002fCu3uIZdw7D94EZkcXm7sPxKks10PbOw\\u002f6ooA+q1p7D++p5wwPWfsPzAc1V\\u002fAZOw\\u002fo0MG+Tpi7D\\u002fiprJzsF\\u002fsP++uBkAkXew\\u002fhHoDuZla7D9ay48WFFjsPztgsV+WVew\\u002fWh8zXSNT7D9EHP2MvVDsP8eyYhZnTuw\\u002fpJ6ovyFM7D+3JAHl7knsP1gZN3HPR+w\\u002fV+A52MNF7D+Sh7QTzEPsPx360KHnQew\\u002f1yU+hhVA7D\\u002fh+oRNVD7sP5SgrBKiPOw\\u002fClMih\\u002fw67D8iUs38YDnsPx9lK3LMN+w\\u002f2u9GoDs27D+St0wKqzTsP4Z3fQ4XM+w\\u002fG4gu+Hsx7D\\u002fDU4US1i\\u002fsP3lUk7shLuw\\u002fjAZ0d1ss7D8gwgsDgCrsPw\\u002fdBWaMKOw\\u002f4eOxA34m7D\\u002f4ImOqUiTsP8kf+6AIIuw\\u002f8O9Osp4f7D8ReiA2FB3sP3FxbxdpGuw\\u002fKB\\u002fy150X7D+jjZOQsxTsP08y4+6rEew\\u002fsnRxL4kO7D80KCQVTgvsP17lnd39B+w\\u002fwdriMpwE7D+G1XQaLQHsPyeZLuK0\\u002fes\\u002fPtUzCzj66z+o1FYzu\\u002fbrP3geX\\u002f1C8+s\\u002fqnSk+NPv6z+9rXeIcuzrP+qw1ssi6es\\u002fijrqhejl6z\\u002f58soHx+LrPx3BBxzB3+s\\u002f0CJh9Njc6z\\u002fhyyQaENrrP7D0iWFn1+s\\u002fDMlh4N7U6z\\u002fxg2DoddLrPyY5MwUr0Os\\u002fA2GE\\u002fvvN6z9YRf7d5cvrP3bFRvnkyes\\u002fTO3b\\u002f\\u002fTH6z9w8KQMEcbrP5eg97ozxOs\\u002f1tW\\u002fPlfC6z+C0WR\\u002fdcDrP2LK+DSIvus\\u002ft94wB4m86z9Y6petcbrrP\\u002fd7ZRA8uOs\\u002fsJJbaeK16z+DGQpkX7PrP7lh1jyusOs\\u002ftDYn3sqt6z9ujxv7sarrPx1SOidhp+s\\u002fevSU6taj6z9t2uTREqDrP6bvO3oVnOs\\u002fnNfzl+CX6z8Q25v4dpPrP8UcvH\\u002fcjus\\u002fYC9cHhaK6z8tfFPFKYXrP3SRglIegOs\\u002f3fYseft66z\\u002fzFsOlyXXrP7+zgt2RcOs\\u002ffcppml1r6z\\u002foUQukNmbrP3yA5uUmYes\\u002fYObvQzhc6z8EWAdudFfrP\\u002fYkHrPkUus\\u002f9jPW1JFO6z+EMWTcg0rrP6H6fPHBRus\\u002fVssQNFJD6z8eio2ZOUDrPxvqVM57Pes\\u002fFUEDHBs76z9uEBFVGDnrP72xQ8ZyN+s\\u002fQLBJLig26z85hcW7NDXrP4kX7hGTNOs\\u002f0AfQUzw06z\\u002fC8B02KDTrP9zhYBdNNOs\\u002fQ\\u002fQ9HqA06z+Xd2pdFTXrP29RzvyfNes\\u002ffz88ZzI26z\\u002fQKhJ8vjbrPzEIAcQ1N+s\\u002fsjYsqIk36z9DOMSqqzfrPyc5OKCNN+s\\u002fZFMV6CE36z\\u002fk5amkWzbrP7DDhvAuNes\\u002fOV7\\u002fEJEz6z8IRdWkeDHrPxY2Ss7dLus\\u002f3kbmV7or6z8DFlXTCSjrP0cd1bHJI+s\\u002fcrfOVfke6z+zy0QdmhnrP1zN7mSvE+s\\u002fLF7qgz4N6z+f0xHATgbrP+OfIzvp\\u002fuo\\u002f16EE2Rj36j9yH4Qf6u7qP4wrIxBr5uo\\u002fNPt5\\u002fKrd6j\\u002fAyutVutTqP1AEbXmqy+o\\u002fMBEveI3C6j8ZVRHedbnqPwcXv3Z2sOo\\u002fRWtmEqKn6j+qf\\u002fRKC5\\u002fqP8H4v0rEluo\\u002fVHKCld6O6j8113bUaofqP\\u002fZbY6Z4gOo\\u002fRb5DdBZ66j\\u002f6VjNLUXTqP+jxHrw0b+o\\u002faK2swcpq6j8\\u002f0aysG2fqPwQaShcuZOo\\u002fC+QS3wZi6j+MdNclqWDqP4DdPFkWYOo\\u002fvB7IQE5g6j9NtAoST2HqP98lgYoVY+o\\u002f2dKdDp1l6j8qfmbN32jqPxlV+ufWbOo\\u002f+pdInHpx6j8l3DVywnbqP\\u002fw1Z2qlfOo\\u002f1YfnLRqD6j8WuNs9F4rqP3OafiKTkeo\\u002fI8WkmISZ6j8DKRO94qHqP5PSADWlquo\\u002fUWwsU8Sz6j+4mQA5Ob3qP1CoVvP9xuo\\u002fkft8kg3R6j\\u002fOjT09ZNvqP0d1uD7\\u002f5eo\\u002fxhr+Dt3w6j\\u002fsRmxW\\u002ffvqP6ns5+tgB+s\\u002fRTsjzgkT6z\\u002fhpTMY+x7rP2rczfE4K+s\\u002fuNqNe8g36z9E+r63r0TrP3ohI3D1Ues\\u002fraFAGaFf6z9x+cOzum3rP+59haxKfOs\\u002fHuzCu1mL6z\\u002fIJxrE8JrrP2cdzbEYq+s\\u002f\\u002fAfPWtq76z\\u002fDfhFgPs3rP7vuexBN3+s\\u002fAdLqTQ7y6z8OY4V0iQXsP3gTqUTFGew\\u002fiAuaz8cu7D\\u002f\\u002fyRdnlkTsPyL85I81W+w\\u002fPyxC96hy7D++RUxr84rsP6xxItYWpOw\\u002fBL2qOxS+7D9riMK569jsP7Mgn4qc9Ow\\u002frTIcCSUR7T\\u002fGKLG2gi7tP2Txw0KyTO0\\u002f7ywPk69r7T9xRNPMdYvtPyxQjV7\\u002fq+0\\u002fhdzzCUbN7T+ZTwDuQu\\u002ftPxK805DuEe4\\u002fKAtP6UA17j98UkBoMVnuP+2XEQG3fe4\\u002fP+fvMcii7j9ZJ2wLW8juP8pAoTdl7u4\\u002fD570ANwU7z\\u002fOkI5YtDvvP1p7r9ziYu8\\u002f+okM31uK7z8ZIWNrE7LvP1\\u002fKdE792e8\\u002fdSDPjgYB8D9gnp0fGxXwPxbhAvo1KfA\\u002f+onNsFA98D8+BiXPZFHwP0RaI99rZfA\\u002f+c4qcV958D8jhfsjOY3wP5o8h63yoPA\\u002fjJJ75IW08D\\u002fNwXTK7MfwP7auxJYh2\\u002fA\\u002fs+mzwR7u8D8OfBwQ3wDxP+nsOJ9dE\\u002fE\\u002foRp98JUl8T9MbEr1gzfxP9ycTRokSfE\\u002f\\u002fxBSUnNa8T8cYVUgb2vxP1ePpaAVfPE\\u002fk1TVkGWM8T\\u002fKB1RWXpzxPz\\u002fheQMArPE\\u002f97TdWku78T8IqM7QQcrxP57E0orl2PE\\u002fDJASXTnn8T\\u002fmw6HFQPXxP6\\u002fjneX\\u002fAvI\\u002fonMkeHsQ8j9R5yvHuB3yP5\\u002fLU569KvI\\u002fBwfKO5A38j\\u002fZH2w\\u002fN0TyP3MaVJi5UPI\\u002fo4UIcR5d8j9mho4abWnyP8v\\u002fovasdfI\\u002fDy1lYeWB8j8PDcGaHY7yP8K+6q9cmvI\\u002fhVU9Zamm8j\\u002fUq88gCrPyP5pQENaEv\\u002fI\\u002faNi28h7M8j+ap1RN3djyP7zGyRXE5fI\\u002fT5Tbx9by8j95SSMgGADzP1tugROKDfM\\u002fJ6o5yS0b8z9DANCXAynzP\\u002fyxtQQLN\\u002fM\\u002fjtbIxkJF8z94eZ7LqFPzP\\u002frkgz86YvM\\u002fId4YmPNw8z9SMVqh0H\\u002fzP0cx6ozMjvM\\u002fCOFbA+Kd8z9FlT03C63zPwcKmflBvPM\\u002fy1iZz3\\u002fL8z9T\\u002fAIJ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HmImcop9y\\u002f6A2GB5+r3L9L6UKLnqvcv8JrZboWp9y\\u002feL46vv2d3L\\u002fluYJ9UJDcvyvJuuQSfty\\u002fVazlGFBn3L\\u002fiTYmTGkzcvzFZ+CaMLNy\\u002fts9e6sUI3L\\u002fAxG0N8ODbvwfe6JM5tdu\\u002ft2G++deF27+3obbABlPbv3OnJ+kGHdu\\u002ftmR0Vx7k2r9luHEol6jav3vEFfe+atq\\u002fLwsWFuYq2r+1Xk3AXunZv27r6kJ8ptm\\u002fpMmGJJJi2b99EUZM8x3Zv2ciOCzx2Ni\\u002fTK0I8tqT2L9yWQbB\\u002fE7Yv1EPVfieCti\\u002f5tDthwXH17\\u002fchc1Wb4TXvw1vabwVQ9e\\u002f\\u002fW0sDywD17\\u002fseGVJ38TWv3MXr8VViNa\\u002f+GJzE69N1r89kMnjAxXWv8VYgw5m3tW\\u002fqovbruCp1b8Yb9VWeHfVv2krAFgrR9W\\u002fZtn7H\\u002fIY1b88gNCmv+zUv3+q4+yBwtS\\u002fF2UghiKa1L\\u002fHZbgvh3PUv1t6xG2STtS\\u002fQLf2LSQr1L+EXYpsGgnUv9IZpNhR6NO\\u002fnMlodabI079j3TA19KnTv1n6aYwXjNO\\u002f1bLu+e1u07\\u002f45NuCVlLTv7A1MyAyNtO\\u002fjLnoHGQa078Elk1j0v7Sv\\u002fyPILll49K\\u002fT13m6QnI0r8vaYTfrazSv7zUb6lDkdK\\u002fpCkWc8B10r+U3XNqHFrSvw\\u002fyFJhSPtK\\u002fClj8qWAi0r+LISazRgbSv5L9heEG6tG\\u002fODqGLKXN0b++DCP+JrHRv2LcydiSlNG\\u002fZK8k\\u002fO930b8P0u4KRlvRv5jB2bOcPtG\\u002f5PJoX\\u002fsh0b+wC4HkaAXRv8GYNEXr6NC\\u002fomQedYfM0L9KpVkqQbDQvwKx47kalNC\\u002fl1Pr\\u002fxR40L\\u002fgwkhUL1zQv1orEItnQNC\\u002fCmrpALok0L8hTZOyIQnQv4MYcr0w28+\\u002fftENYi2kz78ecXDqKG3Pv+8UXaERNs+\\u002fO9X\\u002fAdX+zr+CbqQ7YMfOv0Kxlrigj86\\u002fr4G0pIRXzr9rpEVw+x7Ov+PdzUv25c2\\u002f2RrBmWiszb9CIUZTSHLNvx72iF2ON82\\u002fbq2AzTb8zL9YbHoYQcDMv71xMjCwg8y\\u002fGkLBiYpGzL+BuyMP2gjMvzX0pfurysu\\u002f\\u002fG\\u002f3oxCMy78YmCgrG03Lv0TEQibhDcu\\u002fWASTMHrOyr\\u002fp+Blz\\u002f47KvyNs3iGLT8q\\u002fvGMb8jcQyr\\u002f1z2uMINHJv\\u002f3uLP5eksm\\u002faodULQxUyb+tPulRPxbJv2buKXgN2ci\\u002f1c49DomcyL9QxgOAwWDIv4LIROPCJci\\u002fIdMttpXrx7\\u002f48ouxPrLHv1JD0q++ece\\u002fpqd5qRJCx7+UzM7GMwvHvw+Zx4YX1ca\\u002fE2cA+q+fxr8n240Q7GrGv9+U5Pi3Nsa\\u002fqqe2jf0Cxr8V+VHQpM\\u002fFv4ksxGyUnMW\\u002fjTvSRLJpxb8\\u002faaz+4zbFv127M5QPBMW\\u002fZeqk3xvRxL84y40i8Z3Ev6sgFYR5asS\\u002f0rLQg6E2xL\\u002fbRqleWALEv1AJnmOQzcO\\u002flUqXNj+Yw7\\u002fl5uD\\u002fXWLDvzv1VIfpK8O\\u002fo9S0OuL0wr8KtiYfTL3CvwOdRa4uhcK\\u002f88qmn5RMwr8l+SagixPCv4owufgj2sG\\u002fUB3OJnCgwb96XbtohGbBv1i0zEB2LMG\\u002fUMjb8VvywL+kB234S7jAv57IYINcfsC\\u002f6WNG76JEwL+4AExHMwvAv8oNQ50\\u002fpL+\\u002fLDrhKfEyv78a7o8wlsK+v1pEDu1DU76\\u002f2rf2Xwnlvb9O6e\\u002f47ne9v1Jpj2f2C72\\u002fUFjGkxqhvL\\u002f80si9Tze8v2TRe8SDzru\\u002fFJyWkJ5mu78nV9Khgv+6v2cmwLoNmbq\\u002fAH0xpxkzur9pIooYfc25v12k25IMaLm\\u002f0+5QZZsCub8WfTio\\u002fJy4v0Mv5ToEN7i\\u002fvZepu4fQt78UH190X2m3v1hkODZnAbe\\u002fbtAKIH+Ytr\\u002fMsMNKjC62v6oMXlh5w7W\\u002fNtxj4jZXtb+Y\\u002fMrFu+m0v\\u002fBwz0oFe7S\\u002flEZEKBcLtL9Epq1i+5mzv4YnTAjCJ7O\\u002fv1kOzIC0sr+p3xyCUkCyv5AAY4FWy7G\\u002fzTIN7q9Vsb\\u002fxbXXxhN+wv0UoV+T9aLC\\u002fyEXR4Ijkr7\\u002ftPjZdBfeuv\\u002f9Ejo7ECa6\\u002fzTvaMhcdrb9cVO3bSTGsvxz2FHejRqu\\u002fHKgf\\u002fmNdqr\\u002fU4uBYw3Wpv1hpCnXwj6i\\u002fjP3MmBCsp7986DLzPsqmv9BlmGuM6qW\\u002fk18SsP8Mpb8L\\u002fASBlTGkvykcqzZBWKO\\u002famzne+2Aor9k8W84fauhv9buRaPM16C\\u002fvK98dbIFoL+joi9pAmqev9likxYRy5y\\u002fVRsvTi0um7+Ka8gi85KZv0LON\\u002fUA+Ze\\u002fy8Zk3flflr+79ajVh8eUv8EaJ5pdL5O\\u002fqSTMLziXkb9p\\u002flMSwP2Pv8ZgK4RTzIy\\u002fL4i12+yZib9CO7TtZmaGv+KA7CK0MYO\\u002fmL+8HLn3f79nZsGG9ol5v2zyAgF2GnO\\u002fW6x2I0lTab8PwmtO+N9Yvxhup9kR\\u002fgw\\u002fsbMZ6TOvWj8G2Fm2CjpqPxTmE8ZNjXM\\u002fGakYWm\\u002f8eT\\u002f8bZ4JLjWAP95\\u002fUvuaa4M\\u002fzoQneKqhhj9pHZKWpdeJPzJM\\u002fuLzDY0\\u002fJPDH5o0ikD8XjfAS4b6RP\\u002fwTaVBUXJM\\u002f8TyAtVX7lD+laoToXpyWP8AfkAbzP5g\\u002f9jXWJ5zmmT9z+RWP6JCbP1G0ZZRnP50\\u002fn\\u002fSpXabynj\\u002fs9WQ8llWgP6GXeDa8NKE\\u002fwpR1LP4Woj93LGtajfyiP7zdiKaR5aM\\u002fo\\u002fOuRSjSpD\\u002fVedyQYsKlP\\u002frbQxRFtqY\\u002fOjGZ38atpz+9v8Ed0aioP2q+c\\u002fg+p6k\\u002ffAeZyt2oqj98pHGiba2rP+bbjhKitKw\\u002f+D3YTiO+rT8Az+2Qj8muP1OMcL181q8\\u002fIzkIIT1ysD\\u002f8x1+RifmwP3E4jxXogLE\\u002fQOkTHB0Isj9f0qtG7o6yP0S2BJQjFbM\\u002fNTjMgYiasz\\u002f8bHUg7R60P3ZLQBInorQ\\u002fQt1ubxIktT\\u002fWexmKkqS1PwInvIySI7Y\\u002fOo9f7wWhtj\\u002fHgSTA6By3P1z98rw\\u002fl7c\\u002fBLkZPRgQuD8CTcHqh4e4P8YLMU2s\\u002fbg\\u002f6Wb8JapyuT8L2j+krOa5P91RFXLkWbo\\u002fpqtToYbMuj+VeH19yz67P7h0c0ntsLs\\u002fEp8K8CYjvD+h3wivspW8P1TlQsTICL0\\u002fn42gJJ58vT\\u002fT76lEY\\u002fG9PyZZ7vlCZ74\\u002f83cZfGHevj\\u002fIBeSL21a\\u002fP5XUP8XF0L8\\u002fEMSXEBYmwD890FbViGTAP9tXcTS4o8A\\u002ftw3bv5zjwD\\u002f5SUPDKiTBP\\u002fVYy4lSZcE\\u002ffye\\u002fvACnwT+gwmDZHunBP7v3SLuTK8I\\u002f2kVeOERuwj+PYfLKE7HCP9WPOEbl88I\\u002fTXT+kJs2wz84g19iGnnDPwV+EvxGu8M\\u002fnhPx3Qj9wz8pMXRuSj7EP8J1E5T5fsQ\\u002fcavCOwi\\u002fxD9QrSvJbP7EP2K5u20iPcU\\u002fR1EmZCl7xT+9jZoOh7jFPy\\u002fJjvZF9cU\\u002f\\u002fyC2rXUxxj9xnmeQKm3GP3bWc2p9qMY\\u002f12IXAIvjxj+SsmJ9cx7HP79iDs9ZWcc\\u002f8+hC6GKUxz+qaVf5tM\\u002fHPwoc85t2C8g\\u002fEgRM+c1HyD8bCXPv34TIPxsAtzrPwsg\\u002fi0clqLsByT9uyg5WwUHJPycLPAf4gsk\\u002fnzsjjXLFyT86BwJNPgnKP9XIM+NiTso\\u002fsjN\\u002f5+GUyj89PmfUttzKPycFzhLXJcs\\u002f1GpxKjJwyz97pvwWsrvLP+QynMA7CMw\\u002f+w43lq9VzD+8eK1G6qPMPzyExpXF8sw\\u002f5zzPSBlCzT8UIFsmvJHNP80NGgSF4c0\\u002fPCJW3Usxzj94nWbs6oDOP4fDPcE\\u002f0M4\\u002fsosvTywfzz+7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02fM4sulaZztP4UI3nUOnu0\\u002fXx\\u002fMAqqf7T9V8zSdNqHtP3CxY62uou0\\u002fScoczwyk7T\\u002fbNRXtS6XtP33zd1tnpu0\\u002fWIbg8Fqn7T+TvTcdI6jtP78s6v28qO0\\u002ftx\\u002f9biap7T\\u002f+PpcYXqntP0oqpXhjqe0\\u002ffJNX6Dap7T\\u002fQYU+d2ajtP0yPZKZNqO0\\u002fmzsN5JWn7T9iP4P8tabtP4nP3kuype0\\u002fkOJz0I+k7T8EgtUTVKPtPxd89RAFou0\\u002f\\u002fY\\u002fnF6mg7T9N0NyvRp\\u002ftP2w89nfkne0\\u002fx0GUB4mc7T8NxcvOOpvtP69zqPf\\u002fme0\\u002fnXTfSN6Y7T9KN40K25ftP3pSje36lu0\\u002fkGPs9UGW7T+mDOJos5XtP3HzrL5Rle0\\u002f43yUmB6V7T\\u002fMcjy7GpXtP11cXg1Gle0\\u002fNKjjmp+V7T\\u002fwaUOcJZbtP4Px7oHVlu0\\u002fnHCCA6yX7T9DuloypZjtPwRjH4+8me0\\u002f2ITBIe2a7T94gWOTMZztPymLlUmEne0\\u002f365Ngt+e7T\\u002fNogBwPaDtP+e6QlWYoe0\\u002fQwJen+qi7T8cZFP\\u002fLqTtP+7KyIBgpe0\\u002fddN0nnqm7T9EvalTeaftP1c2tCpZqO0\\u002fFPnWRxep7T8IdcFwsantP0hXdRAmqu0\\u002fJzmkN3Sq7T+de6OZm6rtP9bkJ4acqu0\\u002fHHsM4Heq7T\\u002fa7HcRL6rtP6s6wf3Dqe0\\u002fegR\\u002f8Tip7T8FlTSRkKjtP8lrFMfNp+0\\u002fKoNRsPOm7T9H73aKBabtP5XIOKEGpe0\\u002fitIpPfqj7T8qM7eT46LtP40qv7jFoe0\\u002femkJkqOg7T9g19fMf5\\u002ftP4m6tdVcnu0\\u002fHsaZ0jyd7T\\u002fWCl6fIZztPwKif8wMm+0\\u002fdqEHoP+Z7T+B528Y+5jtP9f9SPH\\u002fl+0\\u002f9gxbqQ6X7T+b5fKJJ5btP6C\\u002fBa9Kle0\\u002fBZrSD3iU7T\\u002fMOqeHr5PtP86lcN7wku0\\u002fzWzD0DuS7T9mTg8XkJHtPykAu2vtkO0\\u002f4Gnwj1OQ7T8jsu5Owo\\u002ftP8TexX85j+0\\u002f\\u002fgdvBbmO7T\\u002fFwkPNQI7tP8X45svQje0\\u002fWXDA+GiN7T\\u002fTVTpICY3tPx28\\u002fKSxjO0\\u002fk+Jt6GGM7T\\u002fvwMbSGYztPzOeEQPZi+0\\u002fmRds756L7T+m0ebdaovtP1EHW947i+0\\u002fp0yJxRCL7T82O80p6IrtP12Lp2HAiu0\\u002fxpRThJeK7T+Joo5sa4rtPz5Wp705iu0\\u002fGu3Z6v+J7T+CE+xAu4ntP\\u002fKP6PFoie0\\u002fk+3IIgaJ7T\\u002fI+cn6j4jtP37dF7QDiO0\\u002f61ZwrV6H7T+yi018nobtPzx8Iv\\u002fAhe0\\u002flaArb8SE7T\\u002fm7FJxp4PtP1SQpiVpgu0\\u002fvFHlNAmB7T8mearbh3\\u002ftP6qkzfLlfe0\\u002fTpKY9CR87T+phYX+RnrtP5MrTM9OeO0\\u002fxEkYwT927T\\u002fsp9y\\u002fHXTtPzrpzDvtce0\\u002fE+shGLNv7T\\u002fiEmWWdG3tPwgilz43a+0\\u002fmg2exABp7T9GW3rr1mbtP3UU12a\\u002fZO0\\u002fEPeWu79i7T\\u002f5rw0g3WDtPzQ+nFwcX+0\\u002fns5rrYFd7T9vOwKmEFztP13EZhfMWu0\\u002fkYuE+bVZ7T+jA2tYz1jtPwT5+kUYWO0\\u002fl4550I9X7T9Dymn+M1ftP6ys8c8BV+0\\u002f69fxRfVW7T+oJtduCVftP4\\u002fyDHk4V+0\\u002frOrVyntX7T8++TAfzFftP8eaUKchWO0\\u002f9OkNMHRY7T9aOKZKu1jtP2H++nfuWO0\\u002fm9B4VQVZ7T80Y7vK91jtPzze+ja+WO0\\u002f9S9KnVFY7T9l1q7Oq1ftPyndIJHHVu0\\u002fs3qNwqBV7T9ZqAd3NFTtP1X3ZxGBUu0\\u002fFVy3VYZQ7T\\u002fhLN90RU7tP6CHOhHBS+0\\u002fOAfKO\\u002f1I7T9SZPFp\\u002f0XtP1h6zmPOQu0\\u002ftlhhK3I\\u002f7T80quTc8zvtP4Py24hdOO0\\u002fjRSBCLo07T+QdVvNFDHtP+0h6Kx5Le0\\u002fkO5SqfQp7T8NGFS4kSbtPz\\u002fgU4lcI+0\\u002fj8b9S2Ag7T+L9m54px3tPyVPJ5o7G+0\\u002fIP7ZHiUZ7T\\u002fOQCoqaxftP2q5Sm8TFu0\\u002fWFxaESIV7T9ByzmLmRTtP7Grb596FO0\\u002fTt2KUMQU7T90O0ficxXtP96ojeOEFu0\\u002fG247QfEX7T+EXnBhsRntP5mx90a8G+0\\u002fTe41vAce7T9xiN+EiCDtP1yzmJUyI+0\\u002fuimAUPkl7T9F5IzFzyjtPxB3kvWoK+0\\u002fKXixFngu7T+LM\\u002fHYMDHtP60wvqnHM+0\\u002ftbAN9TE27T+wNfFiZjjtP2AUdhBdOu0\\u002f46vDwg887T+hpIYTej3tP0z015WZPu0\\u002fXKXy8m0\\u002f7T9vxzL++D\\u002ftPxOlAcA+QO0\\u002fDYp+d0VA7T+2J9+SFUDtP6cYrp65P+0\\u002fj0w4LD4\\u002f7T93aKKvsT7tP+KhRFYkPu0\\u002fhpEN1qc97T\\u002fwTso2Tz3tP+5MS5YuPe0\\u002f+Htx6Fo97T\\u002fK2D206T3tP5KRBs\\u002fwPu0\\u002fNz74FoZA7T8\\u002fVgcuv0LtPwtAbjaxRe0\\u002f1FHHkXBJ7T+4RsCjEE7tP\\u002fh2TpmjU+0\\u002fqSYxNTpa7T89EnKi42HtP1y2dE2tau0\\u002f9VwDxKJ07T+\\u002fdqaczX\\u002ftP3n0b2U1jO0\\u002f8uRBmt+Z7T+QRnaiz6jtP0NhrtUGue0\\u002fP7dyh4TK7T8ALzIZRt3tP7TyFxJH8e0\\u002f3gEcPIEG7j8F1KLF7BzuP4ne9GaANO4\\u002fqV\\u002fPijFN7j8AeEx59GbuP1E5YYS8ge4\\u002fp640NXyd7j+Mtpp5JbruP4h0CNGp1+4\\u002fl75lePr17j9wvy6UCBXvP5OZaljFNO8\\u002f15wOLiJV7z9LGnnVEHbvP42JwoWDl+8\\u002faQu3CG257z9i6lzTwNvvP1cg\\u002fhpz\\u002fu8\\u002fO2Jdc7wQ8D9AJdwOZCLwP6y3BskrNPA\\u002fOjNKhA9G8D9BIeqeC1jwP4PRG\\u002fQcavA\\u002fzL3k20B88D+ztdgpdY7wP0fj0yq4oPA\\u002fiDLLoQiz8D+1ZMvDZcXwPxdKPDPP1\\u002fA\\u002fY2l6+kTq8D\\u002f79NWFx\\u002fzwPy5\\u002fAp1XD\\u002fE\\u002f2pb\\u002fW\\u002fYh8T80fn8rpTTxP1OtzrhlR\\u002fE\\u002fk+s87Tla8T9KlwflI23xPxlKxOUlgPE\\u002fVHJLVEKT8T93wCOqe6bxP4ZicWrUufE\\u002fje5uFk\\u002fN8T9ne3kh7uDxP0ahveSz9PE\\u002fUdGXkqII8j9lfL8pvBzyP6izWWgCMfI\\u002fnBcVv3ZF8j8h33VEGlryP9lKfajtbvI\\u002fSczbKPGD8j9XVOCFJJnyP8Z5WfiGrvI\\u002fjk+eKBfE8j\\u002fDt\\u002fQm09nyP6yriWW47\\u002fI\\u002fdEMttMMF8z+uPgA+8RvzPw5pO4k8MvM\\u002flIYyeaBI8z9riqxSF1\\u002fzPzDfocKadfM\\u002flptn5yOM8z861UNcq6LzPxETXEcpufM\\u002f+GPjaZXP8z\\u002fcFmIy5+XzP1zA5dAV\\u002fPM\\u002frWPdTBgS9D9oeluc5Sf0P9V6brx0PfQ\\u002fUJg4yrxS9D93BmkctWf0PycztFxVfPQ\\u002f7l3loJWQ9D\\u002fFySKDbqT0PweU\\u002fjjZt\\u002fQ\\u002fywnxqM\\u002fK9D+WH959TN30P3hpTjhL7\\u002fQ\\u002ffn8MPcgA9T\\u002fw+eHgwBH1P\\u002fTvOnEzIvU\\u002fcuyDOR8y9T9LXySFhEH1PwNkBp5kUPU\\u002fdwGsx8Fe9T+odeE2n2z1P0ZmKwYBevU\\u002fjZceJ+yG9T9dytxQZpP1P1xK\\u002f+t1n\\u002fU\\u002f2kJD\\u002fCGr9T9K5FUIcrb1P2OIJgBuwfU\\u002fcSsrIh7M9T9Kngfgitb1P5avCcO84PU\\u002fYCzsULzq9T+rAlDxkfT1P\\u002f8UVtRF\\u002fvU\\u002fOoe92t8H9j84o+F\\u002fZxH2P+0Y6MXjGvY\\u002f4ItkJFsk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BvbRvyw4SndY2tG\\u002fsmRyqsS+0b8ithX9SaPRv+Aqsa\\u002fnh9G\\u002fsLsCHJ1s0b8hoiHQaVHRvxuaYaZNNtG\\u002fITON2Ugb0b9YjxkVXADRvysKDoGI5dC\\u002fBaBzyc\\u002fK0L+G\\u002fTkhNLDQv5c\\u002fmkC4ldC\\u002fdg8ZX1970L92U2IpLWHQvz+bT7MlR9C\\u002fWj5\\u002fZk0t0L+XYfTtqBPQv9HGjj569M+\\u002f5nD0wx3Cz78smhkrRpDPvzDT5O38Xs+\\u002foJcUDEsuz7+QY3bXOP7Ov+4Ql8LNzs6\\u002fOhANMxCgzr9+BGRYBXLOvzGwkgixRM6\\u002f5MDAohUYzr\\u002f9xfr4M+zNvxlxSEELwc2\\u002fiiltDpmWzb\\u002fTCm5Q2WzNv4Kmy1zGQ82\\u002f2Fgy\\u002flgbzb8iqzqLiPPMv1sIrQNLzMy\\u002f1MOZM5WlzL+Z13jbWn\\u002fMv6NpbNyOWcy\\u002fJouuZyM0zL+AFSYwCg\\u002fMv30yGJ006su\\u002fYATs\\u002fJPFy79r6Pu2GaHLvw6se3u3fMu\\u002fVVyMcF9Yy7+zkKxbBDTLv8+TzsaZD8u\\u002f3Nx7IBTryr8mH47WaMbKv13yKGuOocq\\u002ffd3Cg3x8yr\\u002fvezDyK1fKv+ytx7eWMcq\\u002fX2\\u002fSArgLyr+aSagmjOXJv26j4Y4Qv8m\\u002fwdwwrkOYyb9yooHpJHHJv0rXDoC0Scm\\u002fcoYqcfMhyb9+bnlg4\\u002fnIv+3IZHmG0ci\\u002fmR2BUt+oyL8Ea6DR8H\\u002fIv7cLORG+Vsi\\u002fgPW5R0otyL\\u002fDwVCxmAPIvxD5jnys2ce\\u002fvQlDuoivx78k1r5QMIXHv\\u002fycqvKlWse\\u002fceBnGewvx7+4le0CBQXHv1X97bLy2ca\\u002f0az\\u002f9rauxr8XH29tU4PGvwILTY7JV8a\\u002fWC5Athosxr+7eJcySADGv3W+E05T1MW\\u002fymreXT2oxb93AyXOB3zFv3yS1y20T8W\\u002fffcROUQjxb\\u002fIY8XhufbEvxJuR1YXysS\\u002f1sB+BV+dxL\\u002fT2Xmgk3DEv+YKUhm4Q8S\\u002fgU1Tn88WxL+J33eY3enDvzNsXJjlvMO\\u002f+xjmVOuPw797n+aY8mLDvxYkGzX\\u002fNcO\\u002f5Ebw7xQJw79PoIB0N9zCv2AuSkFqr8K\\u002fbPkal7CCwr8sUbVoDVbCv\\u002fR1qEuDKcK\\u002fVWrTahT9wb8LOv16wtDBv++F4LGOpMG\\u002fyvn3v3l4wb8Q6EbNg0zBv48hRXmsIMG\\u002fO8f\\u002f3fL0wL8K3WqWVcnAv35nycfSncC\\u002fMm78LWhywL\\u002fw8nQqE0fAvwFOctXQG8C\\u002fCOJLIjzhv78xfo8874q\\u002fv+apNmO0NL+\\u002fex++E4Xevr9jJTMLW4i+v3QwdHAwMr6\\u002fIREG\\u002fP\\u002fbvb\\u002fAE3ocxYW9v1m7dRZ8L72\\u002fMj6HHyLZvL+PChJztYK8v0+Aw2A1LLy\\u002fFs8oVKLVu79BfCrV\\u002fX67v3deX4FKKLu\\u002f3rZW\\u002fovRur9ATSblxnq6v\\u002fzytKcAJLq\\u002fEXFicD\\u002fNub8OodL8iXa5v5hawXTnH7m\\u002fNCTfPV\\u002fJuL9WjsrN+HK4v1pIR3u7HLi\\u002fQALaT67Gt79n4+7a13C3v2POpwc+G7e\\u002f0wpg9uXFtr8zoNza03C2v7ZCBOAKHLa\\u002f4tzXEY3Htb+9WD5OW3O1v2tEDD11H7W\\u002fvVCDT9nLtL8RklfHhHi0vwj7GcVzJbS\\u002fOuW5XaHSs7+JwKO2B4Czv4hB2iegLbO\\u002fB51CY2Pbsr+vbjygSYmyv7mUg8pKN7K\\u002fcDJGs17lsb+mo0tDfZOxvz7CAq2eQbG\\u002fXJFOnbvvsL+tIvBpzZ2wv78gezzOS7C\\u002f89mucXLzr7+UUNo8FU+vv0UtccZ\\u002fqq6\\u002fAZJPkK8Frr8H25fMpGCtv0ckJWliu6y\\u002fEArOC+4VrL8PbpD\\u002fT3Crvy8ZFhOTyqq\\u002f\\u002faZVacQkqr9MRmE9836pvzi4u5ow2ai\\u002f7PHJC48zqL9PgitAIo6nv7A97Kz+6Ka\\u002fyOedKDlEpr8RJ3iF5p+lv0nFnysb\\u002fKS\\u002fNFCstepYpL96BG2RZ7ajv\\u002flNzKaiFKO\\u002fySGFBqtzor+0TSiijdOhv0YIsw5VNKG\\u002fy0a1UgmWoL\\u002fBvn6BX\\u002fGfv4BQCr2VuJ6\\u002fdPO1sbSBnb\\u002fAGdEItkycv1LqUNWNGZu\\u002fjBIVxSromb9r\\u002fapndriYvzsWY4hVipe\\u002f8U84mahdlr\\u002fyx8krTDKVv3ceenUZCJS\\u002ftpOw2+bekr9iAzWFiLaRv9nlsO3QjpC\\u002fncsG8SLPjr9AXZcANoGMv9l\\u002focF8M4q\\u002fx8d98pnlh7+D+hpKMpeFv1uoglTtR4O\\u002fkVVJOHb3gL8K\\u002fM\\u002fH+Ep9v5uAhUVoo3i\\u002fCHi2NK73c7\\u002fjqVzDko5uv8vpX3qJI2W\\u002fH\\u002f7UaN9aV78Usn+2dFwxv2e6QNDYik0\\u002fnEKoIOD9YD\\u002fGXPqDVaZqP6CxD7QwLnI\\u002fHI\\u002fGtBkQdz+ol0bK7\\u002fh7P7qmDI9XdIA\\u002fZGyR8aLvgj8MX4AaSm6FPzUYgfg18Ic\\u002fj74ZRUh1ij+1CpxtW\\u002f2MP\\u002f3h7nxCiI8\\u002f9PxYhOQKkT\\u002fINVaS2VKSP8Bf6K\\u002fem5M\\u002fGnYuZ87llD8Hs1uSfzCWP1PUUHPFe5c\\u002f\\u002fZcV12\\u002fHmD9jxr5GSxOaP0UfEkchX5s\\u002fsartp7iqnD9e+Rzk1fWdP+Ts3pE7QJ8\\u002faCv2cdVEoD\\u002fYDSsd8uigP4H9CeFTjKE\\u002fhpPPENsuoj9ypDyYaNCiPxyMhlvecKM\\u002f84f2mR8QpD\\u002frPo1REa6kP+s426GaSqU\\u002fhOIkLKXlpT\\u002fa99luHX+mPzfAZRrzFqc\\u002f3ABoXRmtpz8YNn4mh0GoP\\u002fZr6Vk31Kg\\u002fNoCO+ShlqT9g6gs+X\\u002fSpPw0x6J\\u002fhgao\\u002faYEt0LsNqz9goh+g\\u002fZerP1u6F9i6IKw\\u002f5c7y\\u002fQqorD9tJeILCS6tP7Y8zRjTsq0\\u002fo2fR84k2rj\\u002fWpMC0ULmuP82yzUNMO68\\u002fI1bU2qK8rz8RH3DBvR6wP++VXMj+XrA\\u002fZkWnESifsD+QOm\\u002fTTN+wP4bI0a9\\u002fH7E\\u002f9QhZf9JfsT84YrshVqCxP+MMAlYa4bE\\u002fqfIAmy0isj+cRtcYnWOyP4L09pN0pbI\\u002fZq\\u002fyab7nsj86ZRCYgyqzPyi2WcvLbbM\\u002fl2KfeZ2xsz\\u002fsJKEC\\u002fvWzP9fTStjxOrQ\\u002fLKu7rHyAtD9u25akoca0P1uI7otjDbU\\u002fyp\\u002f1C8VUtT\\u002fvl4rfyJy1P+FCngRy5bU\\u002fojN36MMutj\\u002fTPdyMwni2P7uUR6Ryw7Y\\u002fM+Zno9kOtz8QJWXG\\u002fVq3PxHRmgjmp7c\\u002fgHnADZr1tz9kqMn7IUS4P7HbHkWGk7g\\u002fduEvY8\\u002fjuD8V6cKBBTW5P6q9yBswh7k\\u002fhrPjilXauT+WiDGLei66P76CRrWhg7o\\u002fkjCf8MrZuj\\u002fcJhzh8jC7PwjhXVISibs\\u002fNKoMpB3iuz9Bkj86BDy8PySMTPWvlrw\\u002f\\u002fupRtATyvD9c0L3l3029P4d2+igYqr0\\u002fiJ42BH0Gvj\\u002fPPgCx1mK+Pxm3FQLmvr4\\u002fP3dwZGQavz9Byhz9A3W\\u002fP4849+Rvzr8\\u002f3nRxQSYTwD8hBUACHD7AP6QWbHrlZ8A\\u002fjd3xd0yQwD\\u002fU1Zy4GLfAPxGF1l0Q3MA\\u002fLnyKa\\u002fj+wD+ygH9QlR\\u002fBP7GaTXarPcE\\u002fwCXo1v9YwT\\u002fSD4uVWHHBP40jvJh9hsE\\u002fXVv9IjmYwT\\u002fTZMRnWKbBPyAPThqssME\\u002fDofy8wi3wT+A67gvSLnBPx+lDflHt8E\\u002funeuy+uwwT\\u002fFvxjDHKbBPyDECNjJlsE\\u002fu07jCuiCwT\\u002fTjDN6cmrBP60UvWRqTcE\\u002fV0X7FtcrwT8nXELExQXBP8bcEUxJ28A\\u002fAoOB7HmswD+2NgjjdHnAP+2sLf1bQsA\\u002f3PcBG1UHwD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2f838sV4Qx4L+8TebYG07gv3hDG+baaeC\\u002fm6OdO7aE4L85+KK8o57gvy34AGiat+C\\u002fx5hGR5LP4L\\u002fs0i1YhObgv\\u002f+sAHFq\\u002fOC\\u002f2EKnID8R4b9IPiyL\\u002fSThv1AAmUOhN+G\\u002fVjIaJCZJ4b8nQmgliFnhv1MrdTbDaOG\\u002fgb1hFdN24b9jOrgqs4Phv0O64Gdej+G\\u002foWa1Kc+Z4b9UhAkg\\u002f6LhvzrO3jrnquG\\u002fwTDpnX+x4b9NDeKav7bhvyBbCrOduuG\\u002fSuIWoA+94b8rGZxkCr7hvyCU6GOCveG\\u002f4DMWgWu74b8cEPREubfhv2A8RgpfsuG\\u002f9au1L1Cr4b+ZVKpOgKLhv7zgLHbjl+G\\u002fpVvUaG6L4b\\u002fow6\\u002fcFn3hv+vHC7zTbOG\\u002fzW\\u002fqZZ1a4b8eXv3sbUbhv1m+81NBMOG\\u002f1vXyxRUY4b\\u002f5phzK6\\u002f3gv21hFXHG4eC\\u002fRi6Ve6vD4L+HpSV5o6Pgv2jsT965geC\\u002f01ifEf1d4L9x4AJvfjjgvxZIP0FSEeC\\u002fgQWbYh\\u002fR379xMVZXoXzfv3AHmndjJd+\\u002fidEevKPL3r8HdEqRpG\\u002fev+2wYlisEd6\\u002fDyqt2QSy3b9toFip+lDdv5W1Q4Hc7ty\\u002f4EPlkfqL3L+gZcDMpSjcv3jR6Sovxdu\\u002fBts08uZh278Q46P7G\\u002f\\u002fav5VKsv0andq\\u002fZDT93C082r9q5rQFm9zZvxz7GtCkftm\\u002faoci8ogi2b+5yA8AgMjYv7fktf28cNi\\u002f9u6rAW0b2L\\u002fVDYjrtsjXv3SV4S27eNe\\u002fQK2KrJMr178dBCGvU+HWv9inxOcHmta\\u002fQq51jbZV1r9yXU6JXxTWv+soibX81dW\\u002f8lgBLYKa1b9VkaOp3mHVv8iXEfD7K9W\\u002fqmuTRr\\u002f41L\\u002fejk\\u002f1CcjUvxCvrc25mdS\\u002fuOS5tqlt1L\\u002f9g1s8skPUvwvYOB+qG9S\\u002fWcEw42b107+ykGtavdDTvxb1JCuCrdO\\u002fQp14ToqL078fXKmGq2rTv2Qsjsu8StO\\u002fWEEIrJYr079aQaCjEw3Tv9OfpWMQ79K\\u002fy55oD2zR0r+3mmRrCLTSv4\\u002fAa\\u002f\\u002fJltK\\u002fExkeLJh50r9q6So0XVzSvwniCzoGP9K\\u002fN6YUM4Mh0r9oN9bQxgPSv+Q59GHG5dG\\u002ff32hq3nH0b+Jewm92qjRv8eB9b3lidG\\u002fux7+uZhq0b9uUJRp80rRv1JSIvr2KtG\\u002f3S9y1qUK0b9UFHFwA+rQv01hSg0UydC\\u002ftK+1lNyn0L883C9kYobQvyUEsiarZNC\\u002fb85SsbxC0L9LcRflnCDQvxf2Jiyj\\u002fM+\\u002fmrui78C3z78Sx7UdnnLPv56CMU5FLc+\\u002fN0NIncDnzr\\u002fvdBmpGaLOvy2ZBJZZXM6\\u002fDR2DGIkWzr\\u002fAdTWDsNDNv5KextfXis2\\u002fYOZJ2QZFzb8rnsEeRf\\u002fMvyUZkSSaucy\\u002fkcC4Ww10zL8By941pi7MvwVKUS1s6cu\\u002fUHddyGaky78RFYuXnV\\u002fLv7Dhfy4YG8u\\u002fXxeFF97Wyr8\\u002fPN7B9pLKv763U2tpT8q\\u002fal2DBT0Myr9bILQXeMnJvypQD54gh8m\\u002fHh9A5ztFyb8Z\\u002fJBxzgPJv23nrMjbwsi\\u002ff\\u002fowZWaCyL\\u002fFtTePb0LIv3Rb\\u002fET3Asi\\u002fT\\u002fSgJvzDx7\\u002fRDQZoe4XHv\\u002f6AgMlwR8e\\u002fnnsQmNYJx78KoI61pczGv5KDEanVj8a\\u002fsGOYt1xTxr8W7tAEMBfGv6fRlrtD28W\\u002fVeKVPYufxb8pSURZ+WPFv8vSOoWAKMW\\u002f6i7HHxPtxL8c9m+xo7HEv9mJBTEldsS\\u002fYyzGR4s6xL8ToA+Uyv7DvwKjFenYwsO\\u002fo+saiq2Gw79v4LlfQUrDv3rk4iWPDcO\\u002feE9XkZPQwr9JVZFrTZPCv7htOaS9VcK\\u002fODKAV+cXwr8A++7Iz9nBvxx\\u002fgFJ+m8G\\u002f8vQTSPxcwb+0Oo\\u002fPVB7Bv\\u002fnnRa6U38C\\u002fI1t6DMqgwL\\u002fcZgkwBGLAv53Why9TI8C\\u002fdZWSPo\\u002fJv794h+Fz5Ey\\u002fv7E2lwzH0L6\\u002f7JWd+FZVvr+BOTdWstq9v6ml58P0YL2\\u002fWYT7uzbovL9Gt039jHC8v43crQQI+ru\\u002f5x4BmrOEu7+ygNhzlhC7v3IJyvOxnbq\\u002f9pJe\\u002fQEsur8v4N7ofLu5vyr+upITTLm\\u002fQqaxh7HduL8clUVNPXC4v5nBd8WYA7i\\u002fd0cqrKGXt78v3QMsMiy3v07MKYghwba\\u002fLHax10RWtr+QAUXPb+u1v\\u002fYfI5V1gLW\\u002fX81hmykVtb+l+TB8YKm0vyU4xdPwPLS\\u002fbHKUE7TPs7+xP6dKh2Gzv6OL8N5L8rK\\u002fsMDhM+iBsr9LYco6SBCyvw8f\\u002feldnbG\\u002fROQvmCEpsb+SbRU6krOwv58ww4C1PLC\\u002f+bQksC+Jr79G6ZaJmJauv8LfHEbYoa2\\u002fdCgSjC2rrL+MsVH14bKrv0p3D99Iuaq\\u002f+6e1Cb6+qb+WfEQPpMOov+ZohLdiyKe\\u002f6f8EMmXNpr\\u002fmgWQ+GNOlvx3vsUvo2aS\\u002fzADklz\\u002fio7863VlYhOyiv+L6JvQW+aG\\u002fBrGLWFAIob8Ci3FvgBqgvwdDIX7ZX56\\u002fE8Abcp6RnL+Vidt8qsqav8AkUrk9C5m\\u002fYo0djnxTl789SN0cb6OVv48AoC8B+5O\\u002fvd1\\u002fowJakr9OSx1NKMCQvwD\\u002fsaIaWo6\\u002fhxkF1WlAi78j+WcgGTKIv0a8nezcLYW\\u002fXksZrEgygr9ULGrLqXt+v1R+Ny\\u002fLnXi\\u002fiJWUp6HHcr8ZQTDYletpv+\\u002fpkZuOk1y\\u002fSekYgkgZNb9jl2m2hB1SP4vDJq8v0mQ\\u002fQm50lnpWcD+wIrWPO1J2PxW0oXLLXnw\\u002fu6ewLyk\\u002fgT\\u002f4mzgjVVmEP8RVbmetfoc\\u002fkGGYZMuvij+n0XuWHe2NP9E2peVzm5A\\u002fTGf2DKJGkj9Csq5BEviTP+5Q2Jeqr5U\\u002f84Vdmj9tlz8DZwrplTCZP1vdRgZk+Zo\\u002fL4UBSVTHnD8bl\\u002frmBpqeP2DwzQWKOKA\\u002fySnn9wYmoT8ZzeFzQRWiP33VNq7\\u002fBaM\\u002fxJys0wf4oz86ZWXkIOukP7FOqHgT36U\\u002f4hu2bKrTpj8Eqr1xs8inP8V+y4L\\u002fvag\\u002fEDlXPWOzqT9B4tMdt6iqP3U8YKHXnas\\u002f5KZdTqWSrD8D6kqmBIetP4+nwAPeeq4\\u002f6EDUZx1urz\\u002f5yDgdWTCwP0optYBHqbA\\u002fdkcFidQhsT\\u002fmP3og\\u002fJmxPyn87Um7EbI\\u002fihs6\\u002fA+Jsj9qRMIB+f+yPz3pUd11drM\\u002fdyxKtYbssz8BCNJFLGK0Pwtpa9pn17Q\\u002fV+79TjtMtT8H1BUYqcC1P\\u002f\\u002fKxVG0NLY\\u002fF2NP1GCotj8UmHFNsxu3P30QAl2xjrc\\u002fCo9Fs2EBuD\\u002fijFgvzHO4Pyss4\\u002fv55bg\\u002fKopMqPVXuT86bak8y8m5P2NquUaIO7o\\u002f041r3jutuj8ZjJeg9h67P\\u002fZa2Z7KkLs\\u002fEzjJQ8sCvD\\u002fNuR8rDXW8P\\u002fFRsu2l57w\\u002fBUCW4atavT8YrBvPNc69P5PBtZtaQr4\\u002f7VZE7DC3vj9VLo3Aziy\\u002fP3VuAwpJo78\\u002flokgoFkNwD\\u002fFt+Z6j0nAP9a1+bdNhsA\\u002fvCJAoprDwD8bgiMAewHBPwhYmuzxP8E\\u002f4bJOtwB\\u002fwT9AXBnNpr7BP7iS5Knh\\u002fsE\\u002fKvDa1Kw\\u002fwj9fy5DnAYHCP04OmaDYwsI\\u002fkGezAScFwz8YaHp54UfDP9wgLhj7isM\\u002fcvDszmXOwz9vNGK4EhLEPxJdq2nyVcQ\\u002fEk7xSfWZxD860vfuC97EP+jpsHwnIsU\\u002fuHi3BTpmxT8Os3XqNqrFP43WqDQT7sU\\u002fnyDu7MUxxj9ePw1oSHXGP53+yomWuMY\\u002fWLkz+677xj\\u002fj0H9Skz7HPypz9CpIgcc\\u002fy1dvK9XDxz+Wh6P6RAbIPz8lbiClSMg\\u002fvLAS1A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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()"
   ]
  },
  {
   "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": 24,
   "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": 25,
   "id": "390a0e08-4a55-463c-8d63-1c572ed891c8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Bn calc took 7.510e-01 seconds\n",
      "normalized average <Bn> = 0.0008652002822824901\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432.324x288.216 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import time\n",
    "\n",
    "t1 = time.time()\n",
    "Bn, _ = coilset_helical.compute_Bnormal(eq.surface, eval_grid=grid)\n",
    "print(f\"Bn calc took {time.time()-t1:1.3e} seconds\")\n",
    "plt.figure()\n",
    "plt.contourf(\n",
    "    grid.nodes[grid.unique_zeta_idx, 2],\n",
    "    grid.nodes[grid.unique_theta_idx, 1],\n",
    "    Bn.reshape((grid.num_zeta, grid.num_theta)).T,\n",
    ")\n",
    "plt.title(\"DESC Bnormal (Coils)\")\n",
    "plt.xlabel(r\"$\\zeta$\")\n",
    "plt.ylabel(r\"$\\theta$\")\n",
    "\n",
    "plt.colorbar()\n",
    "print(\n",
    "    f\"normalized average <Bn> = {np.mean(np.abs(Bn) / eq.compute('|B|',grid=grid)['|B|'])}\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "58ee5a69",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Bn calc took 2.722e-01 seconds\n",
      "normalized average <Bn> = 0.0008682927241332434\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432.324x288.216 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import time\n",
    "\n",
    "coilset_helical = coilset_helical.to_FourierXYZ(N=30)\n",
    "t1 = time.time()\n",
    "Bn, _ = coilset_helical.compute_Bnormal(eq.surface, eval_grid=grid)\n",
    "print(f\"Bn calc took {time.time()-t1:1.3e} seconds\")\n",
    "plt.figure()\n",
    "plt.contourf(\n",
    "    grid.nodes[grid.unique_zeta_idx, 2],\n",
    "    grid.nodes[grid.unique_theta_idx, 1],\n",
    "    Bn.reshape((grid.num_zeta, grid.num_theta)).T,\n",
    ")\n",
    "plt.title(\"DESC Bnormal (Coils)\")\n",
    "plt.xlabel(r\"$\\zeta$\")\n",
    "plt.ylabel(r\"$\\theta$\")\n",
    "\n",
    "plt.colorbar()\n",
    "print(\n",
    "    f\"normalized average <Bn> = {np.mean(np.abs(Bn) / eq.compute('|B|',grid=grid)['|B|'])}\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "3409826f-6175-4d1e-b2ae-7c34d35c8fb0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864.648x720.54 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Field line integration (on a CPU this can take a a minute)\n",
    "plot_field_lines(coilset_helical, eq);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "c08f8e73-b518-4ef9-b288-3b17dd0ca90c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "colorbar": {
          "title": {
           "text": "𝐁·n̂ (T)"
          }
         },
         "colorscale": [
          [
           0,
           "rgb(5,48,97)"
          ],
          [
           0.1,
           "rgb(33,102,172)"
          ],
          [
           0.2,
           "rgb(67,147,195)"
          ],
          [
           0.3,
           "rgb(146,197,222)"
          ],
          [
           0.4,
           "rgb(209,229,240)"
          ],
          [
           0.5,
           "rgb(247,247,247)"
          ],
          [
           0.6,
           "rgb(253,219,199)"
          ],
          [
           0.7,
           "rgb(244,165,130)"
          ],
          [
           0.8,
           "rgb(214,96,77)"
          ],
          [
           0.9,
           "rgb(178,24,43)"
          ],
          [
           1,
           "rgb(103,0,31)"
          ]
         ],
         "flatshading": true,
         "i": {
          "bdata": 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",
          "dtype": "i2"
         },
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",
          "dtype": "f8"
         },
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",
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",
          "dtype": "i2"
         },
         "name": "𝐁·n̂ (T)",
         "opacity": 1,
         "showscale": true,
         "type": "mesh3d",
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",
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Dxr+ZBMyEo9rDv7cs5u+CWcG/bbcM2z2pvb/k6WFgcMG4vxwOJmgTJrS/p16g/BcDsL/xCANkPgupv15pffYetaO/mOmwcQtYoL9Zxl5ae3eevylBhlekk6C/XPnTdUZ3pL9n5PfNYNuqv4lR6yXdxbG/MmDl6CYTt7+yiKvYOg29vx5PdaUUrMG/yG6zmcPGxL+hnXj+4KTHv8DDztlD5Mq/gd55SZdazb9gixrDOzzPv7zLLK4dPtC/Rde7jGiN0L9KaKVCW5DQv2iwvvtNTdC/A3I4AmiWz79R7wXKgyLOv7nIcUdhTsy/ehNUZhsryr8i1aMwgsvHv/Mm4JaYQ8W/r8KTUfinwr/Lp6yUiA3Av7bdkz9DE7u/8oa2J8xktr+w4pIE8T2yvzX3HsT1nK2/Txoq9d6LqL9FN2yvyKClv1f0+x5sJKW/g5zTt79Gp7/kcVslthasv+Fu05kGvrG/fQIZzXOZtr93HlzSeWS8v5C9O8Z7Z8G/zsL0dOK6xL9ml0g/+PXHv7/DztlD5Mq/f955SZdazb9dixrDOzzPv7zLLK4dPtC/RNe7jGiN0L9JaKVCW5DQv2ewvvtNTdC/BnI4AmiWz79Q7wXKgyLOv7nIcUdhTsy/fRNUZhsryr8m1aMwgsvHv/Um4JaYQ8W/scKTUfinwr/Pp6yUiA3Av7jdkz9DE7u/9oa2J8xktr+24pIE8T2yvzb3HsT1nK2/Vhoq9d6LqL9GN2yvyKClv1f0+x5sJKW/hJzTt79Gp7/acVslthasv99u05kGvrG/egIZzXOZtr9uHlzSeWS8v5C9O8Z7Z8G/zcL0dOK6xL9il0g/+PXHv77DztlD5Mq/sapa4gwJzr8+KIOqnz7Qv++G2I89JdG/kVePqhWz0b+2VEFRS+rRvz6Ehxyt0dG/OBe09upx0b+Pw/jkzNPQv2ykd3hf/8+/2qviRrP7zb9a9UxY9K3Lv8eho8vIKMm/q8JXiPF/xr/SrvDf7MfDv8MS+GfVFcG/2f7HozH/vL8XKcmSpzi4v67JBir7CLS/0XksPCOjsL9DAtoo5nOsvzVb4lh6+Km/de1QJS0fqr8rmuLacBWtv1vryn3PcLG/BN5dGI6utb8vL5/a4Ri7vyuHBNxptsC/1roEQ3ooxL/hn0KL/qzHv4ewpDEpCsu/sKpa4gwJzr89KIOqnz7Qv+2G2I89JdG/kVePqhWz0b+3VEFRS+rRvz2Ehxyt0dG/OBe09upx0b+Pw/jkzNPQv2mkd3hf/8+/2qviRrP7zb9c9UxY9K3Lv8yho8vIKMm/rcJXiPF/xr/TrvDf7MfDv8cS+GfVFcG/2/7HozH/vL8eKcmSpzi4v7TJBir7CLS/0nksPCOjsL9LAtoo5nOsvzVb4lh6+Km/dO1QJS0fqr8pmuLacBWtv1fryn3PcLG/At5dGI6utb8tL5/a4Ri7vyaHBNxptsC/1roEQ3ooxL/gn0KL/qzHv4KwpDEpCsu/r6pa4gwJzr+Qap2ODoXQv1uZhD3QvdG/Iexd1cSZ0r8SUg4V+hTTvx3paHSoM9O/D5xpIw//0r+7e7JRL4LSvwnM4zShx9G/ifmSkujY0L8uTwCIsX3Pv0mHrVeFBM2/ncLQTcJYyr+5hH+U2Y3Hv4AgfQkZuMS/x2a7irbswb9vvJw3RoS+vxgcrv/ooLm/9d958yBjtb/MtzdRhQGyvzOfHdvLZa+/6BtbGVtTrb/b7NB5Ixuuv+w2NXHJ9LC/DEeOR4RetL+uA4An4y+5v0zxb3ODM7+/lspaaHUNw78Xkh660cDGvx//OuCMecq/BHyCPFz6zb+Pap2ODoXQv1qZhD3QvdG/H+xd1cSZ0r8TUg4V+hTTvx7paHSoM9O/DpxpIw//0r+7e7JRL4LSvwrM4zShx9G/ifmSkujY0L8xTwCIsX3Pv0qHrVeFBM2/osLQTcJYyr+5hH+U2Y3Hv4IgfQkZuMS/y2a7irbswb9xvJw3RoS+vx0crv/ooLm/+9958yBjtb/MtzdRhQGyvz6fHdvLZa+/5xtbGVtTrb/a7NB5Ixuuv+w2NXHJ9LC/BUeOR4RetL+sA4An4y+5v0nxb3ODM7+/kcpaaHUNw78Wkh660cDGvx7/OuCMecq//nuCPFz6zb+Oap2ODoXQv95yUNfy7tG/vHn/4SAm07/HcBT4G/fTv1yA3YJ5X9S/NBkMPJRl1L9TcgUHEBXUv6t+vnsre9O/6DTouD+k0r8qI6BF8JrRv10y7iicaNC/sNP3P2wszr8j21z0wFnLv057kfxPbMi/ZAeGWiN4xb/xgBhobZLCvzUWUef/o7+/IFv/c6Ofur9rYqDBcU62v36ayZ/w6rK/UW/ce4uwsL+kDna1Vqyvv7sCQzC3hrC/1GXIqerYsr/j+H6FpMi2v3MxDTtuM7y/oikw9FZswb95NdqlYi7Fv26KRBUvJ8m/IxRZ/xQXzb+l+AfWg17Qv91yUNfy7tG/unn/4SAm07/GcBT4G/fTv1yA3YJ5X9S/NBkMPJRl1L9ScgUHEBXUv6p+vnsre9O/6jTouD+k0r8pI6BF8JrRv14y7iicaNC/tdP3P2wszr8q21z0wFnLv1F7kfxPbMi/ZgeGWiN4xb/1gBhobZLCvzcWUef/o7+/JVv/c6Ofur9wYqDBcU62v32ayZ/w6rK/VW/ce4uwsL+gDna1Vqyvv7sCQzC3hrC/1WXIqerYsr/b+H6FpMi2v3IxDTtuM7y/oCkw9FZswb90NdqlYi7Fv26KRBUvJ8m/IxRZ/xQXzb+j+AfWg17Qv91yUNfy7tG/N0IFK3E9079L8ecS8nLUv+eKS6rdONW/VMvzboWO1b/AZlxKcXzVv6+fBoGUENW/dFzE70pa1L+HO5A6lWfTv9ZvWhUqRNK/KWMHwvH50L94IP3mBiTPv95+4YrYKsy/0FRdexobyb9z0loKhAjGv0MUDq0hCMO/FLZIyvQwwL9gL6/3SDm7vxuKe2m4z7a/xq18wcVjs79+P8zU9DWxv6kpJAONgrC/B7B6e9R4sb+h/awsVDG0v1LmfQmnpbi/hqSh6yisvr8vk/KiQvzCv1Z/rEpJEMe/Bs5sKR9Sy7/nEGHa7nvPvwVw8i1CpNG/NkIFK3E9079J8ecS8nLUv+eKS6rdONW/U8vzboWO1b/AZlxKcXzVv66fBoGUENW/dVzE70pa1L+HO5A6lWfTv9VvWhUqRNK/K2MHwvH50L99IP3mBiTPv+N+4YrYKsy/0VRdexobyb910loKhAjGv0gUDq0hCMO/FbZIyvQwwL9nL6/3SDm7vyGKe2m4z7a/xq18wcVjs7+AP8zU9DWxv6gpJAONgrC/BrB6e9R4sb+h/awsVDG0v0rmfQmnpbi/haSh6yisvr8uk/KiQvzCv1B/rEpJEMe/B85sKR9Sy7/nEGHa7nvPvwJw8i1CpNG/NUIFK3E907++cjg5B2zUv4gYdPb9n9W/X7N33RNb1r8zSnTdi57Wv8u1q/kjdda/Ovw4mgLv1b8ZsfIKdx3VvwjCbn4HENS/OmZfh2zT0r9Np3OjFHLRv2o2hxWB6s+/pS8EU9/LzL+XOAwduJrJv7GBIoZoasa/CpzrBbVPw7+yFaiEkmHAv2MDO/ohdLu/+JYwye3ttr9KgbSI9nKzv8o/kRkhSbG/XroqRdqysL9e3xYMAeWxv1bgpjZp+7S/1Bf8v9Puub9SCjHtqEfAv6YS8NRmQsS/lhr3gcSqyL8KHnUPfjjNvy/q+r9Yz9C/ksVZGb/J0r+9cjg5B2zUv4gYdPb9n9W/XbN33RNb1r8zSnTdi57Wv8u1q/kjdda/OPw4mgLv1b8YsfIKdx3VvwrCbn4HENS/OWZfh2zT0r9Op3OjFHLRv202hxWB6s+/qS8EU9/LzL+YOAwduJrJv7KBIoZoasa/DpzrBbVPw7+zFaiEkmHAv2kDO/ohdLu//ZYwye3ttr9JgbSI9nKzv9E/kRkhSbG/XLoqRdqysL9d3xYMAeWxv1XgpjZp+7S/zBf8v9Puub9SCjHtqEfAv6US8NRmQsS/kBr3gcSqyL8KHnUPfjjNvy7q+r9Yz9C/kMVZGb/J0r+9cjg5B2zUv7txFyildtW/Nh+bC4up1r9POQ5kaVrXv3f8U7OljNe/h3yxCDtN17+mYAsxY67Wv2MEQj4xw9W/zaqM4oic1L+osw50D0jTv1ON/zi20NG/QyTv1O4/0L+SkJFGbT3Nv0eV5f9U7Mm/GW+FVJmfxr9+afb2mGvDv0LJkr76ZsC/41Bdk7tXu78wi+WxlrG2v4shdkxlIbO/yZhGqHLysL/hUP3n6m2wv0wWIsp1z7G/dQ26U9E3tb+cpWKjnqC6v8BA21OA6sC/ebLq59M4xb+ycqycW/bJvyikVODh0c6/NDbPw0270b8qSxMMrcrTv7txFyildtW/Nh+bC4up1r9POQ5kaVrXv3b8U7OljNe/h3yxCDtN17+lYAsxY67Wv2MEQj4xw9W/z6qM4oic1L+nsw50D0jTv1ON/zi20NG/RCTv1O4/0L+ZkJFGbT3Nv0uV5f9U7Mm/Gm+FVJmfxr+Eafb2mGvDv0PJkr76ZsC/61Bdk7tXu780i+WxlrG2v4ghdkxlIbO/zphGqHLysL/eUP3n6m2wv0wWIsp1z7G/dQ26U9E3tb+TpWKjnqC6v8BA21OA6sC/d7Lq59M4xb+rcqycW/bJvyekVODh0c6/MzbPw0270b8oSxMMrcrTv7pxFyildtW/2tM+tdRZ1r/kR+K+kIzXv0gkRihMNNi/ECVKybVW2L//QEY8CgPYv4bmzyh3Tde/LrpsrKJK1r/i1Q4lowzVv8frzQLzodO/sBJ+SQIW0r8UIWihfHLQv09QI8bYgM2/PaQaIr8Ryr9+acz9Y6rGvyA5/m+qXsO/zNhXlapEwL+YQjfLW+y6v4MJhn0eJLa/PFBWvDR5sr8as6UlCDywv1ero3K8ea+/babduzU/sb/6/lk9X+q0vxpIdQLSurq/0mVAoEc8wb9p21u3FdvFv+bf/47d7Mq/UuN0B30L0L+2uA1e933SvyAjB2FFo9S/2dM+tdRZ1r/jR+K+kIzXv0gkRihMNNi/ESVKybVW2L//QEY8CgPYv4Xmzyh3Tde/LrpsrKJK1r/j1Q4lowzVv8brzQLzodO/shJ+SQIW0r8UIWihfHLQv1VQI8bYgM2/PaQaIr8Ryr9/acz9Y6rGvyY5/m+qXsO/zdhXlapEwL+gQjfLW+y6v4oJhn0eJLa/PFBWvDR5sr8hs6UlCDywv1Sro3K8ea+/a6bduzU/sb/7/lk9X+q0vxBIdQLSurq/0GVAoEc8wb9n21u3FdvFv+Hf/47d7Mq/UuN0B30L0L+0uA1e933Svx4jB2FFo9S/2dM+tdRZ1r+5WxDq0hLXv4I73+LLRti/qAvI3/3m2L/1U2rEdvvYv5+I8WS1ldi/+aXRNr/L179apNufoLPWv71SJwB5YNW/TPZqTX/h07/NfuRvnULSv51nEM/CjdC/3IB89i+Yzb9Mzd76Ww3Kv0Q0qcGJjca/Nr8PjhUsw7908+0cn/y/vy++/HSJOrq/BZXxUz9Ptb/KgJzhGoWxvyG20agWYq6/q1kuvfRUrb+FvvIZkj2wvzg3Yz7KGbS/OLH6J4dAur/lkL5FaTzBvwhfiAVrJsa/sdbr5amJy7//4tQm74DQv1w16k4dFNO/iyGcO2hQ1b+5WxDq0hLXv4I73+LLRti/pgvI3/3m2L/0U2rEdvvYv5+I8WS1ldi/+aXRNr/L179bpNufoLPWv75SJwB5YNW/SvZqTX/h07/OfuRvnULSv59nEM/CjdC/4YB89i+Yzb9Nzd76Ww3Kv0Q0qcGJjca/O78PjhUsw7928+0cn/y/vze+/HSJOrq/C5XxUz9Ptb/KgJzhGoWxvzC20agWYq6/pFkuvfRUrb+DvvIZkj2wvzg3Yz7KGbS/LbH6J4dAur/kkL5FaTzBvwVfiAVrJsa/qtbr5amJy7//4tQm74DQv1o16k4dFNO/iSGcO2hQ1b+5WxDq0hLXv7pzQE2cn9e/rzUYL8PW2L/CL3Nmk3HZv1i4zdx3etm/Ili0CCwF2b/lLp7BdinYvyXsin6m/ta/VCJ5Tb+Y1b/55gs3nQfUv1SD+02eV9K/v0Ybyf6S0L8XOx08LobNv0OE1jEe4sm/C6024jJMxr91wXV9QtfCv71mr8hSL7+/MEU1qbFKub/KdzB1hjy0v5AqqqfIT7C/RZHgGRC6q7/YOzUACYWqv4R6NDYvq62/r5qlREPPsr+uQPJD8Te5v2wVjqMQ7MC/gNULm+QZxr/bv5jH48nLv4M56d8kx9C/PRNYuEl7078fnApWsc/Vv7lzQE2cn9e/rjUYL8PW2L/BL3Nmk3HZv1e4zdx3etm/Ili0CCwF2b/jLp7BdinYvyTsin6m/ta/VCJ5Tb+Y1b/35gs3nQfUv1OD+02eV9K/wUYbyf6S0L8eOx08LobNv0SE1jEe4sm/DK024jJMxr96wXV9QtfCv79mr8hSL7+/OUU1qbFKub/QdzB1hjy0v48qqqfIT7C/VZHgGRC6q7/SOzUACYWqv4B6NDYvq62/sJqlREPPsr+jQPJD8Te5v2wVjqMQ7MC/fNULm+QZxr/Tv5jH48nLv4M56d8kx9C/PBNYuEl7078cnApWsc/Vv7hzQE2cn9e/BSQsE+3+178KFSTWvTvZvzl1K/nk09m/M77ApwrU2b+F1oiNF1LZv2MheYWDZ9i/HswG08Ys17+YmmIfr7bVv/lWMZqpFdS/sONeL4JW0r9bUrQLyYPQv1zLA2ItTs2/TS3mX3qTyb+fGrJJ5enFv9sS18rKY8K/VBJ1rvIovr+T5tMI8CS4v66Nay3+9LK/LAVSEefGrb+Fi1zZtpaov78ZRL1EIqe/f3cFBugmqr+LfxqD8RWxv+9U/TYCqre/tGtkEBZOwL9LmAqsa7bFv/SUVXCNrMu/bfkad+Dc0L8sr1Gz2rHTvxUp6mKCH9a/BSQsE+3+178JFSTWvTvZvzl1K/nk09m/M77ApwrU2b+G1oiNF1LZv2EheYWDZ9i/H8wG08Ys17+ammIfr7bVv/hWMZqpFdS/seNeL4JW0r9bUrQLyYPQv2PLA2ItTs2/UC3mX3qTyb+fGrJJ5enFv+AS18rKY8K/VhJ1rvIovr+c5tMI8CS4v7WNay3+9LK/LgVSEefGrb+Vi1zZtpaov7oZRL1EIqe/e3cFBugmqr+JfxqD8RWxv+RU/TYCqre/s2tkEBZOwL9ImAqsa7bFv+uUVXCNrMu/bvkad+Dc0L8qr1Gz2rHTvxIp6mKCH9a/BSQsE+3+17+lFtP4NzDYv/Noc7avddm/8XqUHXMO2r9X9uV2JQnav7mXh/W+fdm/745VjFyH2L8YyKmRlT/XvwV7N6Dyu9W/YSsZPGQN1L/CA2wPHkHSv8FLT5IIYtC/7ddGBxL0zL+D6AhyWSXJvynDJnV8asW/k2m66nTVwb/eWtTK+vC8vxOzoGL50La/mhGtFAGBsb95yj+zEpOqv/stOrSNDaW/j60fMaZEo7/iCIQwxAemv9JBVtPG9K2/eYC4NvOhtb8KoatUrc2+v1OdAN2w/sS/pILrSowyy7/zEro40cHQv/8mtnUKt9O/5uduiQQ/1r+lFtP4NzDYv/Foc7avddm/8HqUHXMO2r9Y9uV2JQnav7mXh/W+fdm/7o5VjFyH2L8ZyKmRlT/XvwZ7N6Dyu9W/XisZPGQN1L/EA2wPHkHSv8FLT5IIYtC/9ddGBxL0zL+F6AhyWSXJvyrDJnV8asW/mWm66nTVwb/gWtTK+vC8vxyzoGL50La/nxGtFAGBsb93yj+zEpOqvwwuOrSNDaW/ia0fMaZEo7/hCIQwxAemv9RBVtPG9K2/bYC4NvOhtb8HoatUrc2+v1CdAN2w/sS/nYLrSowyy7/yEro40cHQv/0mtnUKt9O/4+duiQQ/1r+lFtP4NzDYv58n3xCXM9i/lFsHcx+F2b97p5HrRCLav24zb70+G9q/M96s7OOJ2b+ziiVx64rYv73lxOwNOde/hcoDkI6q1b9gZ9D02/DTvy8fI/yMGdK/1jhEnuMv0L8TOw39MnzMv5u8oyIHnMi/fq80AyDSxL+oDDaUMjDBv56XZL3njru/tlt9+SJWtb8zyoGyZ9Cvv+NVRBsfFae/jUG+9Vgyob9qPYwfIQaev38wgrROZ6G/8ulWqf8Tqb83MwIYvCyzv+Kp/Ub4d7y/P3xVpgb3w7+DZ+ckl17Kv3ozZbWRdtC/jIP7A++K07/XVxj+Ii7Wv54n3xCXM9i/lFsHcx+F2b95p5HrRCLav3Azb70+G9q/NN6s7OOJ2b+xiiVx64rYv7zlxOwNOde/h8oDkI6q1b9eZ9D02/DTvy8fI/yMGdK/1zhEnuMv0L8bOw39MnzMv5y8oyIHnMi/fa80AyDSxL+sDDaUMjDBv6CXZL3njru/v1t9+SJWtb8/yoGyZ9Cvv+VVRBsfFae/n0G+9Vgyob9gPYwfIQaev30wgrROZ6G/9elWqf8Tqb8sMwIYvCyzv+Gp/Ub4d7y/O3xVpgb3w797Z+ckl17Kv3szZbWRdtC/ioP7A++K07/UVxj+Ii7Wv54n3xCXM9i/93SBzrkJ2L81aVrSCmvZv93bXZXEENq/i0AjHyYM2r+HF8YKnXjZvySwLeNqdNi/+ghj4HUb179j1+T7yYTVv5szCURZwtO/ZycQsRzi0b+2ooqDXN/Pv65fdGA768u/13wBIBv8x79CnLUuNiXEv7JLl/YdeMC/W2w88kQKur8Y/1hmfLuzv65luTQ6Y6y/4ZvxcFFco7+CemLb0C2avxjOqCSM5ZS/A9tN7qq8mL8s+BYcAqWjvxB6UI2DWLC/6QFWh3Koub8aER/LKqXCv/mV9AsRNcm/LVjCtjn5z7+ENl2jci7Tv8DElsuA7dW/93SBzrkJ2L80aVrSCmvZv9vbXZXEENq/jEAjHyYM2r+IF8YKnXjZvyGwLeNqdNi/+whj4HUb179l1+T7yYTVv5szCURZwtO/aScQsRzi0b+4ooqDXN/Pv7VfdGA768u/2HwBIBv8x79FnLUuNiXEv7dLl/YdeMC/XWw88kQKur8g/1hmfLuzv79luTQ6Y6y/3pvxcFFco7+remLb0C2avxDOqCSM5ZS//dpN7qq8mL8t+BYcAqWjvwN6UI2DWLC/6AFWh3Koub8WER/LKqXCv/CV9AsRNcm/LVjCtjn5z7+CNl2jci7Tv73ElsuA7dW/93SBzrkJ2L9qSRkX07PXv9JImSfNKNm/h4refZ7b2b/2R+tc393Zv6bZ79AwTNm/uJGEBEVG2L+wqJM7QenWv0ti7GQVTdW/QZy1NkiE07+Qgl0VOZ3Rvz3JgzCuR8+/RDtqhgdGy7/eG1HvW0rHv6ca5e1PaMO/db1O7eNiv78E9YQ8t2q4v/oInZ/vB7K/CmmBfZ3HqL+D32bZ1uyevxLhrttJlpG/mWHrDZechr+8GPyaOBGMv9VUfYUAhpu/equgYCJoqr8jJWG3/222vyqwEiMDEMG/9ZZbG9S7x7/DlSZMdqzOv0wW7EVGo9K/IHyWmGt+1b9pSRkX07PXv9BImSfNKNm/horefZ7b2b/3R+tc393Zv6bZ79AwTNm/tpGEBEVG2L+xqJM7QenWv01i7GQVTdW/P5y1NkiE07+Qgl0VOZ3Rv0DJgzCuR8+/SztqhgdGy7/gG1HvW0rHv6ca5e1PaMO/gr1O7eNiv78G9YQ8t2q4vwMJnZ/vB7K/F2mBfZ3HqL9132bZ1uyevzzhrttJlpG/gmHrDZechr+0GPyaOBGMv9tUfYUAhpu/ZKugYCJoqr8iJWG3/222vyawEiMDEMG/7ZZbG9S7x7/DlSZMdqzOv0wW7EVGo9K/HXyWmGt+1b9pSRkX07PXv1e74T2JM9e//dHPbArA2L9C7pYQpoTZv9kdVWKCktm/3FJZMfQG2b9NLwiw8wLYv+QAmnT1pNa/dEyQIvIF1b9ml9AuIjnTvxTO1x1XTdG/Wm8PP6Wdzr99gJRNfZHKv1OGWmubi8a/sSpZZg2gwr/Gh0AL9cC9v7n1z2b6t7a/pZ/UgVpCsL/k8JTVJAqlv6yuvUAS4Ja/5K27yit1gb+Gr62K9jNWvwiKgEP47ma/fuErLZ4gjr+TTaVvkJyjv+R8Sylp2LK/21JJV6R+vr97sZXz7/nFv4y+oIfSDM2/yYtLC8/r0b/aHbmyzOLUv1e74T2JM9e//NHPbArA2L9C7pYQpoTZv9gdVWKCktm/3FJZMfQG2b9KLwiw8wLYv+UAmnT1pNa/dUyQIvIF1b9ml9AuIjnTvxXO1x1XTdG/XG8PP6Wdzr+FgJRNfZHKv1WGWmubi8a/sypZZg2gwr/Rh0AL9cC9v7v1z2b6t7a/rp/UgVpCsL/z8JTVJAqlv6euvUAS4Ja/OK67yit1gb8Xr62K9jNWv+GJgEP47ma/f+ErLZ4gjr99TaVvkJyjv+J8Sylp2LK/01JJV6R+vr9ysZXz7/nFv4y+oIfSDM2/x4tLC8/r0b/VHbmyzOLUv1W74T2JM9e/o6i8teiK1r9Y7tpNoDLYvwQO4RzCDdm/cclreSIs2b+7+e2DLqvYv2HfLhPkrNe/MolfKA9R1r9C+8182rHUvzX34+dX49K/IsYVgd/00L8PvNCIC+bNv6wFSBhh0sm/E5I60o3Exb/rdCDJ+tDBvwgCqlz3Ery/ES0qJsv5tL/z7iiuLuOsv9WImh4XN6G/W9nxLPRTjb96f4ZC8eMyP3gZIxHOeIE/A0Sj0Sg4gT8/jstha9BgvwWQB/q+1pi/GooGD5Lvrb/loZKQz3a6v5mO2tBf98O/wNkfTXMhy7/YkKTCDwvRv/Fn9gcZHdS/oqi8teiK1r9W7tpNoDLYvwQO4RzCDdm/cclreSIs2b+7+e2DLqvYv2DfLhPkrNe/MolfKA9R1r9D+8182rHUvzT34+dX49K/IsYVgd/00L8QvNCIC+bNv7YFSBhh0sm/FZI60o3Exb/tdCDJ+tDBvxUCqlz3Ery/Ey0qJsv5tL8F7yiuLuOsv+KImh4XN6G/UdnxLPRTjb/EdIZC8eMyP4UZIxHOeIE/C0Sj0Sg4gT99jstha9Bgv9uPB/q+1pi/G4oGD5Lvrb/doZKQz3a6v5CO2tBf98O/wdkfTXMhy7/VkKTCDwvRv+5n9gcZHdS/oqi8teiK1r9gcl8yWbzVv06PdfWcgte/UaI+8eB42L8hkcpXvazYv7RA8tYDO9i/MVsmd15G17/M/o/c6e/Vv7qEttgqU9S/8v/nBzyF0r/NHm+6GZbQv1/56tNgJc2/lWhHeSkNyb++U0SHnfnEv03cpkRn/8C/BJsL0B9hur9KlDcfuzezv0JoptzbOKm/frfSSRO1mr/1qUd+ioR5vzcK6f42yYI/8fNBLNn0kj+6qxBh9EGUP2o2VPOaX4Y/OiSd1F7Ag793t7F5/7elv0jwAMikGba//JbARry8wb/4yYn8ZPLIvzQBki6PBNC/iYYqIUAw079ecl8yWbzVv02PdfWcgte/UKI+8eB42L8ikcpXvazYv7VA8tYDO9i/MVsmd15G17/M/o/c6e/Vv7yEttgqU9S/8P/nBzyF0r/OHm+6GZbQv2H56tNgJc2/nWhHeSkNyb++U0SHnfnEv03cpkRn/8C/EZsL0B9hur9MlDcfuzezv1RoptzbOKm/mLfSSRO1mr/iqUd+ioR5v+IJ6f42yYI/9vNBLNn0kj+9qxBh9EGUP1o2VPOaX4Y/5iOd1F7Ag79zt7F5/7elv0DwAMikGba/85bARry8wb/4yYn8ZPLIvzIBki6PBNC/hYYqIUAw079ecl8yWbzVv/j1uhSUytS/1fPPNTqy1r+oiogb88fXv3D32oYxFti/RjgitWW417/4WCyoctHWvzkZW4Gqg9W/9KhaZAzs079vhXev7iDSv+LH5QUYM9C/0eaF5LFfzL+vuoFd1EXIv02SRci+LsS/B3tmRTkvwL/Sms+IALO4v40O5IrxeLG/9LIjO9iSpb/TBFG3jgCTvwWSPmxTTF4/Yk945NZ6kj+hQhO2ZC2dPxZSsee69J8/wDIXzxelmD89WGJTZd91P0Akmi/lUJq/Rk9krCh4sb8tCqwv2aW+v2uMyEFTiMa/CTBDYHe4zb+qrdbAmR/Sv/f1uhSUytS/0/PPNTqy1r+niogb88fXv3D32oYxFti/RjgitWW417/4WCyoctHWvzkZW4Gqg9W/9ahaZAzs079thXev7iDSv+LH5QUYM9C/1eaF5LFfzL+3uoFd1EXIv1CSRci+LsS/CHtmRTkvwL/ems+IALO4v48O5IrxeLG/BrMjO9iSpb/tBFG3jgCTv0+SPmxTTF4/N0945NZ6kj+jQhO2ZC2dPxpSsee69J8/tzIXzxelmD/hWGJTZd91Pzckmi/lUJq/Pk9krCh4sb8aCqwv2aW+v2uMyEFTiMa/BjBDYHe4zb+mrdbAmR/Sv/f1uhSUytS/GSAxe5q4078GiqzV2sPVvzLolLrq/Na/0dHIwzpq17+WyMLcCSXXv7qOeSnpT9a//M/SPi0O1b8EYjPqYX7Tv/Us88FKuNG/xFXrfEqbz7+VdfcUdJjLv7EH7gbBf8e/c4zQXEdnw7+eX1PciMe+v1ZNMY41D7e/VbAUO7+Hr7/skuwdVP2hv51t9ngYzoa/HyOdhFQmhD/GjzmuTnqbP4bw13wlqKM/A4R2CtTMpT9y1+RkcBGjP6eumXMABJU/5tIdszp0gb9KBHIehEWpv27hKua2hbm/O9Cuyz/sw7+u/5XzmSzLv0oYh5TR7tC/GSAxe5q4078EiqzV2sPVvzDolLrq/Na/0tHIwzpq17+WyMLcCSXXv7mOeSnpT9a//M/SPi0O1b8GYjPqYX7Tv/Us88FKuNG/x1XrfEqbz7+XdfcUdJjLv7oH7gbBf8e/dYzQXEdnw7+hX1PciMe+v2NNMY41D7e/WbAUO7+Hr7/+kuwdVP2hv9Jt9ngYzoa/JyOdhFQmhD+YjzmuTnqbP4Xw13wlqKM/CIR2CtTMpT9u1+RkcBGjP82umXMABJU/5NIdszp0gb86BHIehEWpv13hKua2hbm/O9Cuyz/sw7+t/5XzmSzLv0UYh5TR7tC/GCAxe5q407/FIDw4qYnSv45tXX4HutS/SHCK1LwZ1r+M2y1ycqrWvyg+YgZmgta/9MwMSTnD1b8tSFA/95DUv0Oe2b+3C9O/1TMg7tVM0b9GU9qHa87Ov3/lhTto0sq/oK2FVZK9xr/CafOFzqXCv2jPuX9MP72/XmojjBh7tb+Hlxx75jusv1l4mbcNBp2/KHSb1W3nb79PG32WIBeSPxRQXDKEKKI/ITJOq16lqD+V87eUHY2rP1xzjuTSxak/aRe613VOoj+vuVHHYkOCPwcj7KUmo56/SlrQJGUqtL/xpQztOifBvzTyF/5Ibsi/a4ig7KBDz7/FIDw4qYnSv4xtXX4HutS/RnCK1LwZ1r+M2y1ycqrWvyg+YgZmgta/88wMSTnD1b8uSFA/95DUv0We2b+3C9O/0zMg7tVM0b9LU9qHa87Ov4LlhTto0sq/qK2FVZK9xr/EafOFzqXCv2nPuX9MP72/bGojjBh7tb+Llxx75jusv4J4mbcNBp2/BXWb1W3nb79OG32WIBeSP/xPXDKEKKI/HzJOq16lqD+W87eUHY2rP1dzjuTSxak/dxe613VOoj/AuVHHYkOCP/Mi7KUmo56/OVrQJGUqtL/xpQztOifBvzDyF/5Ibsi/YYig7KBDz7/EIDw4qYnSv1L/L0kpQdG/g//AAmmX07/fXN8xYiDVv/u6TyNS2NW/NAQRuq/R1b/1WhkghCzVv1pf1EgtDdS/ti4vADiV0r/i0r67tN/Qv2KKTFm5Ac6/Tw2qj4cPyr/e4mqDHAHGv9bFZQoZ7MG/F5LhUlzJu79bja22hvqzvzAu5kGoFqm/MkBsDEZZlr94alUYnmNpP9EFHpAj4Jk/ETWjIbZ3pj+qj3R/e4atPxEyTXQImbA/6qKbXNQxsD+Yz9TexhCqP6p0KylIFps/lF7wZqDBhL+5c5z1gEitvzbGIx1ChLy/ZP+y91qGxb9s+3EURnnMv1H/L0kpQdG/gf/AAmmX07/dXN8xYiDVv/u6TyNS2NW/NAQRuq/R1b/0WhkghCzVv1tf1EgtDdS/uS4vADiV0r/h0r67tN/Qv2OKTFm5Ac6/Ug2qj4cPyr/m4mqDHAHGv9jFZQoZ7MG/GpLhUlzJu79qja22hvqzvzQu5kGoFqm/WEBsDEZZlr97aVUYnmNpP9AFHpAj4Jk/+jSjIbZ3pj+oj3R/e4atPxEyTXQImbA/56KbXNQxsD+lz9TexhCqP6t0KylIFps/Wl7wZqDBhL+Uc5z1gEitvzXGIx1ChLy/YP+y91qGxb9j+3EURnnMv1D/L0kpQdG/bFexLzjFz78hSwRpvl7Sv+tghMDVEtS/j7OFdTb11L8eqPE+3xPVv2qNIYWUjNS/Pum+9o+D07+N1XhOpBvSv08YMe2jcdC/3D1v6Iw2zb+sJuK5/FDJv1GoZJVgS8W/RENsIBQ7wb95jAo9qWe6v7K+eizCj7K/u5sgZ20dpr8wWmzKywCQv1P5H/xmD4Q/Gld6726woD8mnqY7YaSqP8APITqYIrE/G7eXdkVasz9gDP3bwHCzP8RvyODF3bA/4dC4tBN/pj9SB/e8ORWEP3bB8SykBKK/PZBmOb+Ktr8M8F09e33Cv7IV4wO8hsm/alexLzjFz78fSwRpvl7Sv+lghMDVEtS/kLOFdTb11L8dqPE+3xPVv2mNIYWUjNS/Pum+9o+D07+P1XhOpBvSv00YMe2jcdC/3j1v6Iw2zb+vJuK5/FDJv1qoZJVgS8W/R0NsIBQ7wb97jAo9qWe6v8C+eizCj7K/wZsgZ20dpr9RWmzKywCQvxD5H/xmD4Q/HFd6726woD8TnqY7YaSqP74PITqYIrE/G7eXdkVasz9eDP3bwHCzP8pvyODF3bA/4tC4tBN/pj96B/e8ORWEP1bB8SykBKK/PpBmOb+Ktr8I8F09e33Cv6kV4wO8hsm/aFexLzjFz7/1kfh2B+PMv2WHYCPOEtG/SMVGWw/z0r8NPTsRYQLUv0jBFta0SdS/ymKN2OPj07/kRowufvTSv/hKuydWn9G/5dMWSfgC0L9tZw0LdG3Mv7A8QTwql8i/2OWRYJacxL/l/rdG4JLAvyWcp/mFGrm/zkm5qHQ7sb8gFDN2mlKjvzsmmpFfB4S/MZLNbAiMkD+yfxBx5UekP+lZOAvPqa4/hu0G9Glusz9eOnvEpwe2P+xXdi8onLY/S10RnSSitD+ACxVRO12vP6JqiyuhdJ4/ziTXSnaQir8D9LB2h3Gwvwo1pDPet76/7iEf0QF0xr/zkfh2B+PMv2KHYCPOEtG/RsVGWw/z0r8MPTsRYQLUv0jBFta0SdS/yWKN2OPj07/jRowufvTSv/pKuydWn9G/5NMWSfgC0L9vZw0LdG3Mv7Q8QTwql8i/4eWRYJacxL/o/rdG4JLAvyqcp/mFGrm/20m5qHQ7sb8mFDN2mlKjv3smmpFfB4S/D5LNbAiMkD+wfxBx5UekP9RZOAvPqa4/g+0G9Glusz9fOnvEpwe2P+hXdi8onLY/UF0RnSSitD+ACxVRO12vP7VqiyuhdJ4/VCTXSnaQir8C9LB2h3GwvwY1pDPet76/5iEf0QF0xr/xkfh2B+PMv4O1b8yQ4sm/+GhJDaZsz7/+KEfS+sLRv9w/wCn5ANO/D/ikmr9z07/mLzxZozLTvwknrvb9X9K/A4dIQ0Yg0b/6sv6ySifPvxhfqNpApsu/FyWpBL7hx7/wLpBURPTDvyPNvCfW5b+/ghOUctfgt7/MZ7vzqPmvvxto1Qa2taC/vu+ORFyOcb/yUWRyhLWWPzs0W2TFs6c/fhTIKIVCsT9IdJCtK6W1PzYvUW5sn7g/g+XyTYyxuT9L9Jryi1G4P7af4CSiDLQ/P5IRB8pcqT8rIoy2awaDP4E1LQBSjaS/4R+UXcJSuL/azirZsUjDv4G1b8yQ4sm/8mhJDaZsz7/8KEfS+sLRv9s/wCn5ANO/Dfikmr9z07/kLzxZozLTvwknrvb9X9K/BYdIQ0Yg0b/4sv6ySifPvxhfqNpApsu/GiWpBL7hx7/5LpBURPTDvyfNvCfW5b+/iBOUctfgt7/nZ7vzqPmvvyFo1Qa2taC/TvCORFyOcb/NUWRyhLWWPzo0W2TFs6c/dBTIKIVCsT9EdJCtK6W1PzUvUW5sn7g/fuXyTYyxuT9P9Jryi1G4P7af4CSiDLQ/R5IRB8pcqT+vIoy2awaDP4A1LQBSjaS/3B+UXcJSuL/QzirZsUjDv3+1b8yQ4sm/xFseDjrKxr+S5iY5zZfMv73fDwtshNC/IODPhgry0b8SyCCAZZLSv9VbMFbJeNK/xj29MMvF0b+Qv7O/Gp7Qv8Z+qdSVRs6/GdXUhSXgyr+hkyJr0C/Hv3MQ2XdiUcO/KMjQ6Cm0vr/Rjq7RX7i2vzg96L7Oo62/9R2lIp+HnL9LcTRQmlhMP6nI5hDbhJw/iNZwpWnzqj/Hyg9VaxqzPw9QT08Uxrc/5LlvVYoguz+d0aahRa+8P1FTLzMY6bs/eJeEWsRUuD/ggRUUDq+xPwx3CIiRGKA/hv7yQs5ZkL9g0X3ra9mxv9mocynLC8C/wlseDjrKxr+L5iY5zZfMv7zfDwtshNC/IeDPhgry0b8QyCCAZZLSv9ZbMFbJeNK/xz29MMvF0b+Sv7O/Gp7Qv8N+qdSVRs6/GtXUhSXgyr+kkyJr0C/Hv3sQ2XdiUcO/KcjQ6Cm0vr/Wjq7RX7i2v1E96L7Oo62/AR6lIp+HnL9pbTRQmlhMP4HI5hDbhJw/htZwpWnzqj+9yg9VaxqzPwxQT08Uxrc/5blvVYoguz+b0aahRa+8P1NTLzMY6bs/d5eEWsRUuD/kgRUUDq+xPyx3CIiRGKA/gf7yQs5ZkL9b0X3ra9mxv86ocynLC8C/wFseDjrKxr+0aZiBy5/Dv2G8pnvWq8m/PrairiNyzr/4Q9Odg9bQv0eAvPfrpdG/UIMELCG20b+hg4/7aiXRv/Av0fU6GNC/OzXXW5Bizb8g3jIL2hnKv04pF2ELgMa/fS5ngISywr+9IpEvvI29vxTXRloanrW/7rDvPbRvq79DWJyAMPCXv3CkU7+UWnc//wPjO1v/oD+QJWfo/QeuPzlikR/B3LQ/xrsekP3QuT+L5cpUioq9PxTa4ytMlL8/RuZjGbVmvz9fzvI3S4O8PxcLjpVBmbY/YmJN+DhQqz/ixuDi/6SAP0BLF2mvr6a/5UJbMAaHub+yaZiBy5/Dv1q8pnvWq8m/OrairiNyzr/4Q9Odg9bQv0aAvPfrpdG/T4MELCG20b+hg4/7aiXRv/Mv0fU6GNC/OjXXW5Bizb8h3jIL2hnKv1EpF2ELgMa/hC5ngISywr++IpEvvI29vxfXRloanrW/CbHvPbRvq79PWJyAMPCXv++jU7+UWnc/6wPjO1v/oD+OJWfo/QeuPzBikR/B3LQ/wrsekP3QuT+K5cpUioq9PxLa4ytMlL8/SeZjGbVmvz9fzvI3S4O8PxsLjpVBmbY/gGJN+DhQqz/txuDi/6SAPzhLF2mvr6a/0EJbMAaHub+waZiBy5/Dv/LEehxGaMC/VQuHk/Gsxr/cHYA008TLv+ShiS1nXs+/p6hYyoCu0L9uYtSgXOrQvyjI19RBftC/vwB/6M0bz7+ECcIwpXnMv2Lo4OzHUcm/LklbctXQxb9MgRH4BRbCvzljFIYpb7y/TyKrgpuOtL/etxB8wFapvzk8xGktmZO/V1Ks6BYEhT/+NrjUW5WjP4+CdTgOerA/OmH5VEyKtj+GLjgaQMa7P8VLu4ld3b8/GpwoWwEwwT9SVrxtb2TBP0xEHPyqSsA/MAp3u1Jouz80rUV+ky2zP/SqfzDeY6A/ag0zqEdgk7/JcVexRuqyv+/EehxGaMC/TguHk/Gsxr/YHYA008TLv+OhiS1nXs+/pqhYyoCu0L9uYtSgXOrQvyjI19RBftC/wgB/6M0bz7+ECcIwpXnMv2Xo4OzHUcm/MklbctXQxb9TgRH4BRbCvztjFIYpb7y/VCKrgpuOtL/3txB8wFapv0M8xGktmZO/F1Ks6BYEhT/qNrjUW5WjP4yCdTgOerA/MmH5VEyKtj+CLjgaQMa7P8dLu4ld3b8/F5woWwEwwT9SVrxtb2TBP0xEHPyqSsA/Mwp3u1Jouz9BrUV+ky2zP/eqfzDeY6A/Vw0zqEdgk7+zcVexRuqyv+3EehxGaMC/fNWh4pBPur/N3teSnZ7Dv8h+RN5rA8m/qn0+dZL5zL9kc45xhVjPv3VMGPskFdC/uA3LO1Sfz7+S1HcVoPzNv9b87M0bisu/KmHz+zaGyL9VZ8mveyDFv2bkmiMzesG/7TJ9Qv5Uu7/t7P8+aIazvwN5niYcUqe/NDc+4mjrjr/k9TWRz+CNP5S7kjonCaY//uddzardsT+INkWiQiS4P79LqTONpr0/qaeM7JsMwT/16DKfBYnCP5QKMrA2B8M/6x/4QVBEwj8gKnuPRwzAP6zi55Vbl7g/34BhZSx1rD9dzucjCt15P7DHe8zgk6i/eNWh4pBPur/G3teSnZ7Dv8R+RN5rA8m/qX0+dZL5zL9hc45xhVjPv3RMGPskFdC/uA3LO1Sfz7+V1HcVoPzNv9X87M0bisu/LGHz+zaGyL9YZ8mveyDFv23kmiMzesG/7zJ9Qv5Uu7/y7P8+aIazvxx5niYcUqe/SDc+4mjrjr+o9TWRz+CNP3+7kjonCaY//uddzardsT+ANkWiQiS4P7pLqTONpr0/qqeM7JsMwT/z6DKfBYnCP5QKMrA2B8M/7R/4QVBEwj8iKnuPRwzAP7vi55Vbl7g/44BhZSx1rD+gzucjCt15P4fHe8zgk6i/c9Wh4pBPur8mxf2jDMOzv+S6YaCcg8C/4M5qgvQvxr9khgJ5p3/Kv6ZqrQSTPs2/pVA/bFRszr93qCUaETLOv3jFUSlf0cy/T5kBHUWSyr+ouyUpdrXHv7BytNVVbcS/H4hLBmrdwL+J8VQT9zu6vwIIbyw5grK//VNsMEFbpb+WkympSfKGv3Re4qZnLZM/5T8pcs5fqD98RnrN2zCzP6+723kbrLk/3+w3CM1yvz9f2UNsOh/CPxc8LnAV1cM/H80TVTibxD8cnYnTqi3EP6aNIr6EU8I/TmfrhlDhvT8YlHAtRim0PyTMq5M1B6A/cWQjg4qylr8hxf2jDMOzv9y6YaCcg8C/3c5qgvQvxr9jhgJ5p3/Kv6JqrQSTPs2/pVA/bFRszr93qCUaETLOv3vFUSlf0cy/TpkBHUWSyr+ouyUpdrXHv7RytNVVbcS/JYhLBmrdwL+I8VQT9zu6vwgIbyw5grK/FlRsMEFbpb+qkympSfKGv1Ve4qZnLZM/0D8pcs5fqD95RnrN2zCzP6i723kbrLk/2ew3CM1yvz9f2UNsOh/CPxQ8LnAV1cM/Hs0TVTibxD8enYnTqi3EP6eNIr6EU8I/XGfrhlDhvT8alHAtRim0PyvMq5M1B6A/HWQjg4qylr8cxf2jDMOzv89SaldVX6q/0rEVUvS7ur+podFq+UvDv5rTjzuM8ce/LyPWJVoPy783IqUHXprMv8HyMcu4s8y/MLHd5bKYy7+DWl0QoJDJv2WmKu773ca/WdjKA+G1w78QMVVKMD7Av+0g+uwnIbm/tA4KFCJ/sb8xnFbaU2yjv0qaYYSwX36/Py2ExBNElz8ZW78LS56qPzvNpB22dbQ/RCHheWsjuz+WHdD/A5bAP3a0od3FJsM/FJD9kSAUxT9kteVZESDGP5tOUC36BcY/0Dro+beIxD8QN6JOI4TBPw29s+QK+rk/KVV7H4WprD/eyY/LhxptP8ZSaldVX6q/xbEVUvS7ur+lodFq+UvDv5nTjzuM8ce/LCPWJVoPy782IqUHXprMv8LyMcu4s8y/MbHd5bKYy7+EWl0QoJDJv2WmKu773ca/XtjKA+G1w78XMVVKMD7Av+8g+uwnIbm/ug4KFCJ/sb9KnFbaU2yjv3KaYYSwX36/Iy2ExBNElz8CW78LS56qPzrNpB22dbQ/PSHheWsjuz+THdD/A5bAP3W0od3FJsM/EpD9kSAUxT9jteVZESDGP5xOUC36BcY/0jro+beIxD8WN6JOI4TBPw+9s+QK+rk/LVV7H4WprD99zI/LhxptP71SaldVX6q/sOp2JHFimr+7GMaWSF60v4gf7AaeWMC/M/qhS/tPxb+wGjSeF8vIv7mskLIhtMq/sIo3B5Qjy79HNE22kFHKv0R3T0byg8i/BiHrUHv+xb978iQEz/jCv62Vza15Nr+/emFLhAcCuL804Sprm3qwvxxD2nc9gKG/VKSKLNY+br+WEXMcXD6bPyxs1JU9yaw/RUPOfD6utT9DM2fMz4u8P9w4+pSvacE/H/u6/4kjxD86bUWDKUbGP0k5t453lcc/X93y26TMxz+2nW2O+KrGP2xyLarsBMQ/SlhMngeqvz+7/nLIG460P+g5KzuozJ0/nep2JHFimr+sGMaWSF60v4Qf7AaeWMC/MvqhS/tPxb+sGjSeF8vIv7iskLIhtMq/sYo3B5Qjy79INE22kFHKv0R3T0byg8i/BiHrUHv+xb9/8iQEz/jCv7qVza15Nr+/e2FLhAcCuL864Sprm3qwvzVD2nc9gKG/qKSKLNY+br96EXMcXD6bPxRs1JU9yaw/Q0POfD6utT89M2fMz4u8P9k4+pSvacE/Hvu6/4kjxD85bUWDKUbGP0c5t453lcc/X93y26TMxz+3nW2O+KrGP3JyLarsBMQ/TFhMngeqvz++/nLIG460Pz46KzuozJ0/i+p2JHFimr+3/EhL0ymHvEAOx9Vb4Ku/gL+uEnitur9CToIpl5vCv0v1H20gcsa/RJxY+Je5yL+NdJ6KPoHJv1xSKl9G+8i/ELayDlNrx7/Mb3h67BXFv3dj2CIKNcK/YZuqKezmvb9/SYyQYty2vwdNAzLi5K6/URHqXholn7/pAYokETB7vDUR6l4aJZ8/90wDMuLkrj98SYyQYty2P1ubqins5r0/cmPYIgo1wj/Jb3h67BXFPwy2sg5Ta8c/WVIqX0b7yD+MdJ6KPoHJP0ScWPiXucg/SvUfbSByxj9CToIpl5vCP4u/rhJ4rbo/SA7H1Vvgqz+dZwpUvit8PCEOx9Vb4Ku/eb+uEnitur9AToIpl5vCv0f1H20gcsa/Q5xY+Je5yL+OdJ6KPoHJv15SKl9G+8i/EbayDlNrx7/Mb3h67BXFv3tj2CIKNcK/bJuqKezmvb+ASYyQYty2vxVNAzLi5K6/ghHqXholn78zT3tS0hKRvBkR6l4aJZ8/4EwDMuLkrj96SYyQYty2P1abqins5r0/bWPYIgo1wj/Ib3h67BXFPwq2sg5Ta8c/WFIqX0b7yD+MdJ6KPoHJP0ScWPiXucg/UPUfbSByxj9DToIpl5vCP46/rhJ4rbo/cg7H1Vvgqz8psqnPyKqZPJnqdiRxYpo/2jkrO6jMnb+y/nLIG460v0xYTJ4Hqr+/bXItquwExL+3nW2O+KrGv2Hd8tukzMe/Szm3jneVx789bUWDKUbGvyL7uv+JI8S/4Dj6lK9pwb9JM2fMz4u8v0lDznw+rrW/O2zUlT3JrL+0EXMcXD6bv+OjiizWPm4/DEPadz2AoT8s4Sprm3qwP3ZhS4QHArg/ppXNrXk2vz928iQEz/jCPwMh61B7/sU/P3dPRvKDyD9ENE22kFHKP6+KNweUI8s/uKyQsiG0yj+vGjSeF8vIPzL6oUv7T8U/jR/sBp5YwD++GMaWSF60P6vqdiRxYpo/mzkrO6jMnb+q/nLIG460v0lYTJ4Hqr+/aXItquwExL+3nW2O+KrGv2Hd8tukzMe/Szm3jneVx78+bUWDKUbGvyL7uv+JI8S/5Dj6lK9pwb9SM2fMz4u8v0pDznw+rrW/SWzUlT3JrL/iEXMcXD6bv4+jiizWPm4/AEPadz2AoT8f4Sprm3qwP3JhS4QHArg/oJXNrXk2vz9y8iQEz/jCPwIh61B7/sU/PndPRvKDyD9CNE22kFHKP66KNweUI8s/uKyQsiG0yj+0GjSeF8vIPzP6oUv7T8U/jh/sBp5YwD/SGMaWSF60P73qdiRxYpo/xFJqV1Vfqj9TyY/LhxptvxNVex+Fqay/D72z5Ar6ub8ON6JOI4TBv9A66Pm3iMS/mk5QLfoFxr9mteVZESDGvxaQ/ZEgFMW/d7Sh3cUmw7+ZHdD/A5bAv0kh4XlrI7u/P82kHbZ1tL8nW78LS56qv1sthMQTRJe/F5phhLBffj8gnFbaU2yjP6wOChQif7E/6iD67CchuT8MMVVKMD7AP1bYygPhtcM/Y6Yq7vvdxj9/Wl0QoJDJPy2x3eWymMs/wfIxy7izzD83IqUHXprMPy4j1iVaD8s/mtOPO4zxxz+uodFq+UvDP9exFVL0u7o/zFJqV1Vfqj9Vx4/LhxptvwNVex+Fqay/C72z5Ar6ub8JN6JOI4TBv8866Pm3iMS/nE5QLfoFxr9lteVZESDGvxeQ/ZEgFMW/d7Sh3cUmw7+dHdD/A5bAv1Ih4XlrI7u/P82kHbZ1tL83W78LS56qv4othMQTRJe/75lhhLBffj8UnFbaU2yjP6AOChQif7E/5iD67CchuT8JMVVKMD7AP1HYygPhtcM/Y6Yq7vvdxj9+Wl0QoJDJPyqx3eWymMs/wvIxy7izzD83IqUHXprMPzIj1iVaD8s/nNOPO4zxxz+uodFq+UvDP+qxFVL0u7o/1lJqV1Vfqj8fxf2jDMOzP4FkI4OKspY/D8yrkzUHoL8ZlHAtRim0v1Fn64ZQ4b2/pY0ivoRTwr8gnYnTqi3EvyLNE1U4m8S/GjwucBXVw79j2UNsOh/Cv+vsNwjNcr+/ubvbeRusub+DRnrN2zCzv/k/KXLOX6i/mF7ipmctk79vkympSfKGP+tTbDBBW6U/+gdvLDmCsj+F8VQT9zu6PxyISwZq3cA/rXK01VVtxD+ouyUpdrXHP0uZAR1Fkso/eMVRKV/RzD92qCUaETLOP6VQP2xUbM4/pmqtBJM+zT9khgJ5p3/KP+XOaoL0L8Y/5rphoJyDwD8jxf2jDMOzP79kI4OKspY/A8yrkzUHoL8XlHAtRim0v0Zn64ZQ4b2/pY0ivoRTwr8fnYnTqi3EvyLNE1U4m8S/HTwucBXVw79j2UNsOh/Cv/PsNwjNcr+/wbvbeRusub+DRnrN2zCzvwdAKXLOX6i/xV7ipmctk79bkympSfKGP95TbDBBW6U/7QdvLDmCsj+C8VQT9zu6PxmISwZq3cA/qHK01VVtxD+muyUpdrXHP0qZAR1Fkso/dMVRKV/RzD92qCUaETLOP6ZQP2xUbM4/qWqtBJM+zT9mhgJ5p3/KP+XOaoL0L8Y/77phoJyDwD8oxf2jDMOzP3jVoeKQT7o/vMd7zOCTqD+rzecjCt15v+CAYWUsday/qOLnlVuXuL8eKnuPRwzAv+wf+EFQRMK/kwoysDYHw7/26DKfBYnCv6unjOybDMG/xUupM42mvb+NNkWiQiS4vwPoXc2q3bG/oruSOicJpr8a9jWRz+CNvxU3PuJo644/8nieJhxSpz/j7P8+aIazP+gyfUL+VLs/YuSaIzN6wT9RZ8mveyDFPyhh8/s2hsg/0fzszRuKyz+P1HcVoPzNP7YNyztUn88/c0wY+yQV0D9ic45xhVjPP6h9PnWS+cw/y35E3msDyT/O3teSnZ7DP3zVoeKQT7o/3Md7zOCTqD8ozecjCt15v9WAYWUsday/nuLnlVuXuL8eKnuPRwzAv+wf+EFQRMK/lAoysDYHw7/46DKfBYnCv6unjOybDMG/y0upM42mvb+UNkWiQiS4vwPoXc2q3bG/sbuSOicJpr929jWRz+CNvwE3PuJo644/5nieJhxSpz/W7P8+aIazP+QyfUL+VLs/YOSaIzN6wT9LZ8mveyDFPyhh8/s2hsg/0PzszRuKyz+L1HcVoPzNP7YNyztUn88/c0wY+yQV0D9mc45xhVjPP6p9PnWS+cw/zH5E3msDyT/Z3teSnZ7DP4DVoeKQT7o/78R6HEZowD/OcVexRuqyP5QNM6hHYJM/76p/MN5joL8urUV+ky2zvysKd7tSaLu/TEQc/KpKwL9RVrxtb2TBvxqcKFsBMMG/x0u7iV3dv7+NLjgaQMa7vz9h+VRMira/kYJ1OA56sL8LN7jUW5Wjv5JSrOgWBIW/JDzEaS2Zkz/JtxB8wFapP0Qiq4KbjrQ/MmMUhilvvD9IgRH4BRbCPypJW3LV0MU/Yejg7MdRyT9/CcIwpXnMP7wAf+jNG88/J8jX1EF+0D9uYtSgXOrQP6eoWMqArtA/5KGJLWdezz/gHYA008TLP1YLh5PxrMY/8sR6HEZowD/ecVexRuqyP7UNM6hHYJM/56p/MN5joL8lrUV+ky2zvysKd7tSaLu/TEQc/KpKwL9SVrxtb2TBvxycKFsBMMG/xku7iV3dv7+TLjgaQMa7v0dh+VRMira/kYJ1OA56sL8cN7jUW5Wjv+pSrOgWBIW/GjzEaS2Zkz++txB8wFapPzciq4KbjrQ/MGMUhilvvD9FgRH4BRbCPyNJW3LV0MU/X+jg7MdRyT9+CcIwpXnMP7gAf+jNG88/J8jX1EF+0D9uYtSgXOrQP6eoWMqArtA/5aGJLWdezz/gHYA008TLP2ALh5PxrMY/9MR6HEZowD+zaZiBy5/DP+xCWzAGh7k/WksXaa+vpj/XxuDi/6SAv1diTfg4UKu/EguOlUGZtr9fzvI3S4O8v0fmYxm1Zr+/GNrjK0yUv7+R5cpUioq9v8+7HpD90Lm/PGKRH8HctL+aJWfo/QeuvwsE4ztb/6C/1qRTv5Rad789WJyAMPCXP+Gw7z20b6s/DddGWhqetT+5IpEvvI29P3ouZ4CEssI/TCkXYQuAxj8h3jIL2hnKPzk111uQYs0/8S/R9ToY0D+ig4/7aiXRP0+DBCwhttE/RoC89+ul0T/4Q9Odg9bQP0O2oq4jcs4/Y7yme9aryT+1aZiBy5/DP/tCWzAGh7k/aEsXaa+vpj+3xuDi/6SAv0NiTfg4UKu/EQuOlUGZtr9hzvI3S4O8v0jmYxm1Zr+/HdrjK0yUv7+P5cpUioq9v9W7HpD90Lm/RGKRH8HctL+XJWfo/QeuvxwE4ztb/6C/eqVTv5Rad78xWJyAMPCXP9Ww7z20b6s//9ZGWhqetT+4IpEvvI29P3kuZ4CEssI/RikXYQuAxj8e3jIL2hnKPzg111uQYs0/7y/R9ToY0D+hg4/7aiXRP0+DBCwhttE/SIC89+ul0T/4Q9Odg9bQP0O2oq4jcs4/bLyme9aryT+4aZiBy5/DP8NbHg46ysY/3ahzKcsLwD9v0X3ra9mxP5j+8kLOWZA//HYIiJEYoL/WgRUUDq+xv3eXhFrEVLi/TVMvMxjpu7+d0aahRa+8v+S5b1WKILu/FFBPTxTGt7/Jyg9Vaxqzv43WcKVp86q/u8jmENuEnL9hdDRQmlhMv+sdpSKfh5w/Jj3ovs6jrT/Hjq7RX7i2PyPI0OgptL4/bxDZd2JRwz+ckyJr0C/HPxfV1IUl4Mo/wH6p1JVGzj+Pv7O/Gp7QP8Y9vTDLxdE/1VswVsl40j8QyCCAZZLSPyDgz4YK8tE/v98PC2yE0D+T5iY5zZfMP8VbHg46ysY/5ahzKcsLwD930X3ra9mxP7L+8kLOWZA/43YIiJEYoL/WgRUUDq+xv3aXhFrEVLi/TFMvMxjpu7+i0aahRa+8v+S5b1WKILu/HFBPTxTGt7/Pyg9Vaxqzv4vWcKVp86q/4MjmENuEnL9geTRQmlhMv98dpSKfh5w/Hj3ovs6jrT+7jq7RX7i2Px/I0OgptL4/bBDZd2JRwz+WkyJr0C/HPxXV1IUl4Mo/v36p1JVGzj+Mv7O/Gp7QP8Y9vTDLxdE/1FswVsl40j8RyCCAZZLSPyHgz4YK8tE/v98PC2yE0D+b5iY5zZfMP8dbHg46ysY/gbVvzJDiyT/dzirZsUjDP+wflF3CUrg/gDUtAFKNpD8SIoy2awaDvy+SEQfKXKm/uJ/gJKIMtL9K9Jryi1G4v4Xl8k2Msbm/OC9RbmyfuL9NdJCtK6W1v4EUyCiFQrG/QzRbZMWzp78KUmRyhLWWv1LvjkRcjnE/E2jVBra1oD+5Z7vzqPmvP3kTlHLX4Lc/Hs28J9blvz/oLpBURPTDPxIlqQS+4cc/E1+o2kCmyz/0sv6ySifPPwGHSENGINE/Byeu9v1f0j/kLzxZozLTPwz4pJq/c9M/2z/AKfkA0z//KEfS+sLRP/doSQ2mbM8/g7VvzJDiyT/kzirZsUjDP/QflF3CUrg/iTUtAFKNpD+rIYy2awaDvy+SEQfKXKm/uJ/gJKIMtL9I9Jryi1G4v4rl8k2Msbm/Ny9RbmyfuL9TdJCtK6W1v4cUyCiFQrG/QjRbZMWzp78vUmRyhLWWv6rujkRcjnE/DWjVBra1oD+wZ7vzqPmvP2kTlHLX4Lc/GM28J9blvz/oLpBURPTDPwslqQS+4cc/El+o2kCmyz/ysv6ySifPP/+GSENGINE/Byeu9v1f0j/jLzxZozLTPw34pJq/c9M/2z/AKfkA0z//KEfS+sLRPwBpSQ2mbM8/hbVvzJDiyT/ykfh2B+PMP/AhH9EBdMY/FDWkM963vj//87B2h3GwP94k10p2kIo/kGqLK6F0nr+GCxVRO12vv1BdEZ0korS/71d2Lyictr9mOnvEpwe2v5DtBvRpbrO/8Fk4C8+prr+9fxBx5Uekv06SzWwIjJC/+yWakV8HhD8XFDN2mlKjP8NJuah0O7E/HJyn+YUauT/j/rdG4JLAP9PlkWCWnMQ/rDxBPCqXyD9tZw0LdG3MP+LTFkn4AtA/9kq7J1af0T/jRowufvTSP8lijdjj49M/SMEW1rRJ1D8MPTsRYQLUP0nFRlsP89I/ZYdgI84S0T/0kfh2B+PMP/chH9EBdMY/GzWkM963vj8F9LB2h3GwP0ol10p2kIo/kWqLK6F0nr+KCxVRO12vv0xdEZ0korS/9Fd2Lyictr9kOnvEpwe2v5btBvRpbrO/+lk4C8+prr+6fxBx5Uekv3SSzWwIjJC/qCWakV8HhD8RFDN2mlKjP8BJuah0O7E/DZyn+YUauT/h/rdG4JLAP9HlkWCWnMQ/pDxBPCqXyD9qZw0LdG3MP+LTFkn4AtA/80q7J1af0T/jRowufvTSP8dijdjj49M/SMEW1rRJ1D8NPTsRYQLUP0jFRlsP89I/aYdgI84S0T/2kfh2B+PMP2pXsS84xc8/thXjA7yGyT8S8F09e33CP0CQZjm/irY/iMHxLKQEoj/yBve8ORWEv9zQuLQTf6a/wW/I4MXdsL9fDP3bwHCzvxy3l3ZFWrO/ww8hOpgisb8onqY7YaSqvyBXeu9usKC/dfkf/GYPhL8aWmzKywCQP7WbIGdtHaY/qb56LMKPsj9vjAo9qWe6P0JDbCAUO8E/SqhklWBLxT+nJuK5/FDJP9o9b+iMNs0/Shgx7aNx0D+L1XhOpBvSPzzpvvaPg9M/aI0hhZSM1D8cqPE+3xPVP4+zhXU29dQ/6mCEwNUS1D8gSwRpvl7SP2xXsS84xc8/vBXjA7yGyT8W8F09e33CP0WQZjm/irY/oMHxLKQEoj/2Bve8ORWEv93QuLQTf6a/vG/I4MXdsL9mDP3bwHCzvxq3l3ZFWrO/yQ8hOpgisb8wnqY7YaSqvxxXeu9usKC/wfkf/GYPhL/yWWzKywCQP6+bIGdtHaY/pr56LMKPsj9fjAo9qWe6P0BDbCAUO8E/TKhklWBLxT+fJuK5/FDJP9Y9b+iMNs0/Sxgx7aNx0D+J1XhOpBvSPz3pvvaPg9M/aI0hhZSM1D8cqPE+3xPVP4+zhXU29dQ/7GCEwNUS1D8lSwRpvl7SP25XsS84xc8/T/8vSSlB0T9o+3EURnnMP2P/svdahsU/KsYjHUKEvD+sc5z1gEitP4xe8GagwYQ/0XQrKUgWm7+oz9TexhCqv/Cim1zUMbC/GjJNdAiZsL/Dj3R/e4atvx81oyG2d6a/8wUekCPgmb+2a1UYnmNpvwpAbAxGWZY/Hi7mQagWqT9Oja22hvqzPwiS4VJcybs/08VlChnswT/W4mqDHAHGP0kNqo+HD8o/W4pMWbkBzj/e0r67tN/QP7UuLwA4ldI/V1/USC0N1D/yWhkghCzVPzAEEbqv0dU/+LpPI1LY1T/dXN8xYiDVP4D/wAJpl9M/UP8vSSlB0T9w+3EURnnMP2b/svdahsU/L8YjHUKEvD/Dc5z1gEitP4Ze8GagwYQ/1XQrKUgWm7+hz9TexhCqv/iim1zUMbC/GjJNdAiZsL/Pj3R/e4atvyY1oyG2d6a/6wUekCPgmb/lbFUYnmNpv+Y/bAxGWZY/Gi7mQagWqT9Lja22hvqzP/qR4VJcybs/0MVlChnswT/V4mqDHAHGP0INqo+HD8o/WIpMWbkBzj/d0r67tN/QP7IuLwA4ldI/WF/USC0N1D/xWhkghCzVPzAEEbqv0dU/+bpPI1LY1T/dXN8xYiDVP4P/wAJpl9M/Uf8vSSlB0T/EIDw4qYnSP22IoOygQ88/OfIX/khuyD/wpQztOifBP05a0CRlKrQ/KCPspSajnj/OuVHHYkOCv2wXutd1TqK/YnOO5NLFqb+g87eUHY2rvy4yTqtepai/H1BcMoQoor9rG32WIBeSvwdzm9Vt528/NHiZtw0GnT93lxx75jusP1JqI4wYe7U/W8+5f0w/vT/AafOFzqXCP5ithVWSvcY/e+WFO2jSyj9CU9qHa87OP9IzIO7VTNE/QZ7Zv7cL0z8tSFA/95DUP/PMDEk5w9U/Jz5iBmaC1j+M2y1ycqrWP0lwitS8GdY/j21dfge61D/EIDw4qYnSP3SIoOygQ88/PPIX/khuyD/zpQztOifBP15a0CRlKrQ/JCPspSajnj/GuVHHYkOCv2MXutd1TqK/bnOO5NLFqb+b87eUHY2rvzsyTqtepai/JFBcMoQoor9lG32WIBeSv9Fxm9Vt528/EHiZtw0GnT9zlxx75jusP09qI4wYe7U/Ts+5f0w/vT++afOFzqXCP5ithVWSvcY/dOWFO2jSyj9DU9qHa87OP9EzIO7VTNE/Pp7Zv7cL0z8sSFA/95DUP/HMDEk5w9U/Jz5iBmaC1j+N2y1ycqrWP0hwitS8GdY/km1dfge61D/FIDw4qYnSPxsgMXuauNM/ThiHlNHu0D+8/5XzmSzLP0DQrss/7MM/g+Eq5raFuT91BHIehEWpPznTHbM6dIE/fK6ZcwAElb9d1+RkcBGjv/uDdgrUzKW/hvDXfCWoo7+4jzmuTnqbvxsjnYRUJoS/kG32eBjOhj/kkuwdVP2hP1GwFDu/h68/T00xjjUPtz+XX1PciMe+P3KM0FxHZ8M/rAfuBsF/xz+TdfcUdJjLP8ZV63xKm88/9CzzwUq40T8DYjPqYX7TP/3P0j4tDtU/uY55KelP1j+VyMLcCSXXP9PRyMM6atc/NOiUuur81j8IiqzV2sPVPxwgMXuauNM/URiHlNHu0D+//5XzmSzLP0XQrss/7MM/j+Eq5raFuT9yBHIehEWpP0LTHbM6dIE/aq6ZcwAElb9t1+RkcBGjv/mDdgrUzKW/kvDXfCWoo7/AjzmuTnqbvwsjnYRUJoS/Qm32eBjOhj/UkuwdVP2hP02wFDu/h68/S00xjjUPtz+KX1PciMe+P3CM0FxHZ8M/rQfuBsF/xz+LdfcUdJjLP8JV63xKm88/9CzzwUq40T8BYjPqYX7TP/3P0j4tDtU/uI55KelP1j+WyMLcCSXXP9LRyMM6atc/NOiUuur81j8LiqzV2sPVPx0gMXuauNM/9/W6FJTK1D+srdbAmR/SPxAwQ2B3uM0/bYzIQVOIxj8zCqwv2aW+P1BPZKwoeLE/NiSaL+VQmj8vWGJTZd91v7gyF88XpZi/KlKx57r0n7+wQhO2ZC2dv2ZPeOTWepK/D5M+bFNMXr+8BFG3jgCTP+iyIzvYkqU/hw7kivF4sT/Jms+IALO4PwR7ZkU5L8A/TJJFyL4uxD+quoFd1EXIP87mheSxX8w/4cflBRgz0D9shXev7iDSP/OoWmQM7NM/ORlbgaqD1T/4WCyoctHWP0U4IrVluNc/cffahjEW2D+oiogb88fXP9XzzzU6stY/+PW6FJTK1D+urdbAmR/SPxIwQ2B3uM0/b4zIQVOIxj8/Cqwv2aW+P09PZKwoeLE/OySaL+VQmj/BV2JTZd91v9MyF88XpZi/HlKx57r0n7/IQhO2ZC2dv3JPeOTWepK/zJI+bFNMXr+UBFG3jgCTP9ayIzvYkqU/hQ7kivF4sT/Gms+IALO4P/x6ZkU5L8A/SpJFyL4uxD+ouoFd1EXIP8bmheSxX8w/38flBRgz0D9shXev7iDSP/CoWmQM7NM/ORlbgaqD1T/2WCyoctHWP0U4IrVluNc/cffahjEW2D+piogb88fXP9jzzzU6stY/+fW6FJTK1D9ccl8yWbzVP4iGKiFAMNM/NQGSLo8E0D/1yYn8ZPLIP/yWwEa8vME/TPAAyKQZtj9lt7F5/7elPw8kndRewIM/iTZU85pfhr/bqxBh9EGUvxv0QSzZ9JK/aArp/jbJgr9gqUd+ioR5P1u30kkTtZo/Lmim3Ns4qT9AlDcfuzezP/aaC9AfYbo/RNymRGf/wD+6U0SHnfnEP4toR3kpDck/Wfnq02AlzT/LHm+6GZbQP+3/5wc8hdI/toS22CpT1D/J/o/c6e/VPy9bJndeRtc/skDy1gM72D8fkcpXvazYP0+iPvHgeNg/TI919ZyC1z9ecl8yWbzVP4yGKiFAMNM/NgGSLo8E0D/4yYn8ZPLIPwOXwEa8vME/S/AAyKQZtj9pt7F5/7elP0gkndRewIM/vjZU85pfhr/PqxBh9EGUvy70QSzZ9JK/dQrp/jbJgr+EqUd+ioR5PzO30kkTtZo/Hmim3Ns4qT8+lDcfuzezP/SaC9AfYbo/PdymRGf/wD+3U0SHnfnEP4xoR3kpDck/Uvnq02AlzT/IHm+6GZbQP+3/5wc8hdI/s4S22CpT1D/K/o/c6e/VPyxbJndeRtc/sEDy1gM72D8gkcpXvazYP0+iPvHgeNg/T4919ZyC1z9ecl8yWbzVP6KovLXoitY/82f2Bxkd1D/akKTCDwvRP8HZH01zIcs/nY7a0F/3wz/woZKQz3a6PxuKBg+S760/FJAH+r7WmD+Ujstha9BgPxpEo9EoOIG/oRkjEc54gb/cgYZC8eMyvzLZ8Sz0U40/zIiaHhc3oT/i7iiuLuOsPwstKibL+bQ//gGqXPcSvD/ndCDJ+tDBPxCSOtKNxMU/pgVIGGHSyT8KvNCIC+bNPyHGFYHf9NA/M/fj51fj0j9A+8182rHUPzKJXygPUdY/YN8uE+Ss1z+5+e2DLqvYP3HJa3kiLNk/BQ7hHMIN2T9Y7tpNoDLYP6OovLXoitY/9mf2Bxkd1D/ckKTCDwvRP8TZH01zIcs/pI7a0F/3wz/voZKQz3a6Px6KBg+S760/KZAH+r7WmD+wjctha9BgPw9Eo9EoOIG/yBkjEc54gb9NgoZC8eMyv0TZ8Sz0U40/s4iaHhc3oT/U7iiuLuOsPwktKibL+bQ/+wGqXPcSvD/fdCDJ+tDBPw+SOtKNxMU/pgVIGGHSyT8DvNCIC+bNPyDGFYHf9NA/M/fj51fj0j8++8182rHUPzKJXygPUdY/Xt8uE+Ss1z+5+e2DLqvYP3DJa3kiLNk/BQ7hHMIN2T9b7tpNoDLYP6SovLXoitY/V7vhPYkz1z/cHbmyzOLUP82LSwvP69E/j76gh9IMzT+CsZXz7/nFP+xSSVekfr4/6nxLKWnYsj+mTaVvkJyjP8DhKy2eII4/X4qAQ/juZj9vr62K9jNWP/itu8ordYE/pa69QBLglj/j8JTVJAqlP6Kf1IFaQrA/tfXPZvq3tj+9h0AL9cC9P64qWWYNoMI/U4Zaa5uLxj93gJRNfZHKP1VvDz+lnc4/E87XHVdN0T9jl9AuIjnTP3JMkCLyBdU/5ACadPWk1j9KLwiw8wLYP9hSWTH0Btk/1x1VYoKS2T9C7pYQpoTZP/7Rz2wKwNg/V7vhPYkz1z/fHbmyzOLUP8+LSwvP69E/kr6gh9IMzT+IsZXz7/nFP+lSSVekfr4/63xLKWnYsj+2TaVvkJyjP3rhKy2eII4/xoqAQ/juZj9Drq2K9jNWP+2tu8ordYE/rq69QBLglj/P8JTVJAqlP5mf1IFaQrA/s/XPZvq3tj+7h0AL9cC9P6gqWWYNoMI/UIZaa5uLxj92gJRNfZHKP09vDz+lnc4/E87XHVdN0T9jl9AuIjnTP3BMkCLyBdU/5QCadPWk1j9ILwiw8wLYP9hSWTH0Btk/2R1VYoKS2T9C7pYQpoTZPwDSz2wKwNg/WbvhPYkz1z9pSRkX07PXPyN8lphrftU/UBbsRUaj0j/ElSZMdqzOP/uWWxvUu8c/M7ASIwMQwT8pJWG3/222P4mroGAiaKo/+VR9hQCGmz/MGPyaOBGMP6th6w2XnIY/J+Gu20mWkT9+32bZ1uyePwlpgX2dx6g/9widn+8Hsj8C9YQ8t2q4P2+9Tu3jYr8/oxrl7U9owz/dG1HvW0rHPz47aoYHRss/OsmDMK5Hzz+Pgl0VOZ3RPz+ctTZIhNM/SmLsZBVN1T+wqJM7QenWP7aRhARFRtg/pdnv0DBM2T/0R+tc393ZP4eK3n2e29k/0UiZJ80o2T9qSRkX07PXPyV8lphrftU/UhbsRUaj0j/HlSZMdqzOPwKXWxvUu8c/MrASIwMQwT8pJWG3/222P5iroGAiaKo/3lR9hQCGmz/lGPyaOBGMP4Zh6w2XnIY/JuGu20mWkT+L32bZ1uyeP/VogX2dx6g/7widn+8Hsj8A9YQ8t2q4P2y9Tu3jYr8/nBrl7U9owz/ZG1HvW0rHPz47aoYHRss/McmDMK5Hzz+Ogl0VOZ3RPz2ctTZIhNM/R2LsZBVN1T+vqJM7QenWP7SRhARFRtg/pNnv0DBM2T/2R+tc393ZP4eK3n2e29k/00iZJ80o2T9rSRkX07PXP/d0gc65Cdg/wMSWy4Dt1T+GNl2jci7TPytYwrY5+c8/+5X0CxE1yT8fER/LKqXCP+MBVodyqLk/DHpQjYNYsD8s+BYcAqWjP+TaTe6qvJg/+M2oJIzllD9zemLb0C2aP8+b8XBRXKM/n2W5NDpjrD8M/1hmfLuzP1JsPPJECro/q0uX9h14wD89nLUuNiXEP9J8ASAb/Mc/pl90YDvryz+vooqDXN/PP2YnELEc4tE/mDMJRFnC0z9h1+T7yYTVP/gIY+B1G9c/ILAt42p02D+EF8YKnXjZP4lAIx8mDNo/3NtdlcQQ2j81aVrSCmvZP/h0gc65Cdg/xMSWy4Dt1T+GNl2jci7TPy1YwrY5+c8/AJb0CxE1yT8dER/LKqXCP+QBVodyqLk/FHpQjYNYsD8a+BYcAqWjP/PaTe6qvJg/6s2oJIzllD9xemLb0C2aP9ab8XBRXKM/j2W5NDpjrD8E/1hmfLuzP1BsPPJECro/qUuX9h14wD81nLUuNiXEP9B8ASAb/Mc/p190YDvryz+qooqDXN/PP2YnELEc4tE/mDMJRFnC0z9f1+T7yYTVP/kIY+B1G9c/H7At42p02D+DF8YKnXjZP4pAIx8mDNo/2ttdlcQQ2j83aVrSCmvZP/h0gc65Cdg/nyffEJcz2D/ZVxj+Ii7WP4+D+wPvitM/ezNltZF20D+KZ+ckl17KP0h8VaYG98M/5qn9Rvh3vD8/MwIYvCyzPwfqVqn/E6k/hDCCtE5noT9wPYwfIQaeP5JBvvVYMqE/51VEGx8Vpz8uyoGyZ9CvP7JbffkiVrU/mZdkveeOuz+iDDaUMjDBP3uvNAMg0sQ/mLyjIgecyD8MOw39MnzMP9M4RJ7jL9A/Lh8j/IwZ0j9cZ9D02/DTP4TKA5COqtU/vOXE7A051z+xiiVx64rYPzLerOzjidk/bzNvvT4b2j97p5HrRCLaP5VbB3Mfhdk/oCffEJcz2D/cVxj+Ii7WP5CD+wPvitM/fTNltZF20D+QZ+ckl17KP0d8VaYG98M/6an9Rvh3vD9IMwIYvCyzP/fpVqn/E6k/iTCCtE5noT9gPYwfIQaeP5RBvvVYMqE/5VVEGx8Vpz8ayoGyZ9CvP6xbffkiVrU/l5dkveeOuz+hDDaUMjDBP3OvNAMg0sQ/lLyjIgecyD8NOw39MnzMP9A4RJ7jL9A/LB8j/IwZ0j9bZ9D02/DTP4HKA5COqtU/vOXE7A051z+viiVx64rYPzLerOzjidk/cDNvvT4b2j97p5HrRCLaP5dbB3Mfhdk/oCffEJcz2D+lFtP4NzDYP+nnbokEP9Y/Aie2dQq30z/0Ero40cHQP6qC60qMMss/XJ0A3bD+xD8OoatUrc2+P4SAuDbzobU/6EFW08b0rT/mCIQwxAemP5CtHzGmRKM//i06tI0NpT93yj+zEpOqP5kRrRQBgbE/D7OgYvnQtj/aWtTK+vC8P49puup01cE/JsMmdXxqxT+D6AhyWSXJP+XXRgcS9Mw/vktPkghi0D/BA2wPHkHSP14rGTxkDdQ/A3s3oPK71T8XyKmRlT/XP+6OVYxch9g/t5eH9b592T9Y9uV2JQnaP/F6lB1zDto/82hztq912T+mFtP4NzDYP+rnbokEP9Y/Aye2dQq30z/1Ero40cHQP7CC60qMMss/W50A3bD+xD8QoatUrc2+P4qAuDbzobU/20FW08b0rT/tCIQwxAemP4utHzGmRKM/Ai46tI0NpT95yj+zEpOqP48RrRQBgbE/CLOgYvnQtj/YWtTK+vC8P41puup01cE/HsMmdXxqxT+A6AhyWSXJP+jXRgcS9Mw/u0tPkghi0D/AA2wPHkHSP14rGTxkDdQ/AXs3oPK71T8ZyKmRlT/XP+2OVYxch9g/tpeH9b592T9X9uV2JQnaP/B6lB1zDto/9Whztq912T+nFtP4NzDYPwUkLBPt/tc/FynqYoIf1j8ur1Gz2rHTP275Gnfg3NA/+ZRVcI2syz9UmAqsa7bFP7ZrZBAWTsA/9lT9NgKqtz+UfxqD8RWxP4J3BQboJqo/wRlEvUQipz+Mi1zZtpaoPy4FUhHnxq0/ro1rLf70sj+P5tMI8CS4P1ASda7yKL4/1xLXyspjwj+bGrJJ5enFP00t5l96k8k/VssDYi1OzT9ZUrQLyYPQP6/jXi+CVtI/91YxmqkV1D+VmmIfr7bVPx7MBtPGLNc/YCF5hYNn2D+F1oiNF1LZPzS+wKcK1Nk/OnUr+eTT2T8LFSTWvTvZPwUkLBPt/tc/GSnqYoIf1j8wr1Gz2rHTP2/5Gnfg3NA//5RVcI2syz9SmAqsa7bFP7drZBAWTsA//lT9NgKqtz+NfxqD8RWxP4h3BQboJqo/uxlEvUQipz+Li1zZtpaoPzAFUhHnxq0/pY1rLf70sj+K5tMI8CS4P04Sda7yKL4/1BLXyspjwj+TGrJJ5enFP0kt5l96k8k/VssDYi1OzT9VUrQLyYPQP6/jXi+CVtI/9lYxmqkV1D+TmmIfr7bVPx3MBtPGLNc/YCF5hYNn2D+E1oiNF1LZPzW+wKcK1Nk/OXUr+eTT2T8MFSTWvTvZPwckLBPt/tc/u3NATZyf1z8jnApWsc/VP0ATWLhJe9M/hDnp3yTH0D/gv5jH48nLP4bVC5vkGcY/bRWOoxDswD+xQPJD8Te5P7SapURDz7I/fno0Ni+rrT/SOzUACYWqP0eR4BkQuqs/jSqqp8hPsD/GdzB1hjy0PytFNamxSrk/t2avyFIvvz9wwXV9QtfCPwetNuIyTMY/QoTWMR7iyT8ROx08LobNP7xGG8n+ktA/UoP7TZ5X0j/15gs3nQfUP1IieU2/mNU/JeyKfqb+1j/kLp7BdinYPyFYtAgsBdk/WbjN3Hd62T/EL3Nmk3HZP7E1GC/D1tg/vHNATZyf1z8lnApWsc/VP0ITWLhJe9M/hTnp3yTH0D/lv5jH48nLP4XVC5vkGcY/bRWOoxDswD+3QPJD8Te5P66apURDz7I/gno0Ni+rrT/NOzUACYWqP0aR4BkQuqs/jiqqp8hPsD+/dzB1hjy0PyJFNamxSrk/tWavyFIvvz9vwXV9QtfCPwCtNuIyTMY/PoTWMR7iyT8ROx08LobNP7lGG8n+ktA/UYP7TZ5X0j/15gs3nQfUP1AieU2/mNU/JuyKfqb+1j/jLp7BdinYPyFYtAgsBdk/WrjN3Hd62T/EL3Nmk3HZP7I1GC/D1tg/vHNATZyf1z+7WxDq0hLXP5AhnDtoUNU/XzXqTh0U0z8B49Qm74DQP7jW6+Wpics/EF+IBWsmxj/okL5FaTzBP0Kx+ieHQLo/RDdjPsoZtD+IvvIZkj2wP7FZLr30VK0/KbbRqBZirj/NgJzhGoWxPwSV8VM/T7U/LL78dIk6uj9y8+0cn/y/PzO/D44VLMM/PzSpwYmNxj9Lzd76Ww3KP9aAfPYvmM0/nWcQz8KN0D/NfuRvnULSP0r2ak1/4dM/vFInAHlg1T9ZpNufoLPWP/il0Ta/y9c/nYjxZLWV2D/0U2rEdvvYP6kLyN/95tg/gzvf4stG2D+8WxDq0hLXP5IhnDtoUNU/YTXqTh0U0z8C49Qm74DQP73W6+Wpics/EF+IBWsmxj/pkL5FaTzBP0ix+ieHQLo/PjdjPsoZtD+LvvIZkj2wP6xZLr30VK0/K7bRqBZirj/NgJzhGoWxP/uU8VM/T7U/Jr78dIk6uj9w8+0cn/y/PzG/D44VLMM/OTSpwYmNxj9Izd76Ww3KP9aAfPYvmM0/mmcQz8KN0D/NfuRvnULSP0n2ak1/4dM/ulInAHlg1T9YpNufoLPWP/el0Ta/y9c/nYjxZLWV2D/1U2rEdvvYP6gLyN/95tg/hDvf4stG2D+8WxDq0hLXP9nTPrXUWdY/ISMHYUWj1D+3uA1e933SP1LjdAd9C9A/6d//jt3syj9t21u3FdvFP9FlQKBHPME/HUh1AtK6uj///lk9X+q0P2ym3bs1P7E/Vqujcrx5rz8Zs6UlCDywPzhQVrw0ebI/gAmGfR4ktj+QQjfLW+y6P8vYV5WqRMA/Gzn+b6pewz95acz9Y6rGPzmkGiK/Eco/SFAjxtiAzT8SIWihfHLQP7ASfkkCFtI/xOvNAvOh0z/f1Q4lowzVPyu6bKyiStY/hObPKHdN1z/8QEY8CgPYPw8lSsm1Vtg/SCRGKEw02D/kR+K+kIzXP9nTPrXUWdY/IiMHYUWj1D+3uA1e933SP1PjdAd9C9A/7t//jt3syj9t21u3FdvFP9JlQKBHPME/JEh1AtK6uj/6/lk9X+q0P26m3bs1P7E/Uqujcrx5rz8as6UlCDywPztQVrw0ebI/eQmGfR4ktj+KQjfLW+y6P8rYV5WqRMA/GTn+b6pewz90acz9Y6rGPzekGiK/Eco/SVAjxtiAzT8OIWihfHLQP64SfkkCFtI/w+vNAvOh0z/e1Q4lowzVPyy6bKyiStY/gubPKHdN1z/8QEY8CgPYPw8lSsm1Vtg/RyRGKEw02D/kR+K+kIzXP9nTPrXUWdY/vHEXKKV21T8rSxMMrcrTPzc2z8NNu9E/KaRU4OHRzj+1cqycW/bJP3+y6ufTOMU/wUDbU4DqwD+hpWKjnqC6P3sNulPRN7U/TRYiynXPsT/hUP3n6m2wP8qYRqhy8rA/iCF2TGUhsz8vi+WxlrG2P+FQXZO7V7s/QsmSvvpmwD99afb2mGvDPxZvhVSZn8Y/R5Xl/1TsyT+QkJFGbT3NP0Ek79TuP9A/Uo3/OLbQ0T+msw50D0jTP8yqjOKInNQ/YgRCPjHD1T+lYAsxY67WP4d8sQg7Tdc/dfxTs6WM1z9POQ5kaVrXPzcfmwuLqdY/vHEXKKV21T8uSxMMrcrTPzg2z8NNu9E/K6RU4OHRzj+6cqycW/bJP36y6ufTOMU/wkDbU4DqwD+npWKjnqC6P3YNulPRN7U/TxYiynXPsT/fUP3n6m2wP8uYRqhy8rA/iiF2TGUhsz8mi+WxlrG2P9lQXZO7V7s/QcmSvvpmwD97afb2mGvDPxFvhVSZn8Y/RpXl/1TsyT+PkJFGbT3NPz8k79TuP9A/UI3/OLbQ0T+nsw50D0jTP8qqjOKInNQ/YgRCPjHD1T+kYAsxY67WP4V8sQg7Tdc/dvxTs6WM1z9POQ5kaVrXPzkfmwuLqdY/vHEXKKV21T/Acjg5B2zUP5jFWRm/ydI/NOr6v1jP0D8QHnUPfjjNP54a94HEqsg/rxLw1GZCxD9WCjHtqEfAP9wX/L/T7rk/XOCmNmn7tD9e3xYMAeWxP126KkXasrA/yz+RGSFJsT9GgbSI9nKzP/SWMMnt7bY/XAM7+iF0uz+xFaiEkmHAPwSc6wW1T8M/rYEihmhqxj+UOAwduJrJP6AvBFPfy8w/aDaHFYHqzz9Np3OjFHLRPzlmX4ds09I/CcJufgcQ1D8asfIKdx3VPzv8OJoC79U/zbWr+SN11j81SnTdi57WP2Ozd90TW9Y/jRh09v2f1T/Bcjg5B2zUP5nFWRm/ydI/Ner6v1jP0D8THnUPfjjNP6Ma94HEqsg/rhLw1GZCxD9WCjHtqEfAP+EX/L/T7rk/V+CmNmn7tD9g3xYMAeWxP1y6KkXasrA/yT+RGSFJsT9IgbSI9nKzP++WMMnt7bY/VgM7+iF0uz+wFaiEkmHAPwOc6wW1T8M/p4Eihmhqxj+TOAwduJrJP58vBFPfy8w/ZDaHFYHqzz9Np3OjFHLRPzhmX4ds09I/B8JufgcQ1D8asfIKdx3VPzn8OJoC79U/zbWr+SN11j82SnTdi57WP2Kzd90TW9Y/jRh09v2f1T/Ccjg5B2zUPzdCBStxPdM/CHDyLUKk0T/uEGHa7nvPPwjObCkfUss/Wn+sSkkQxz81k/KiQvzCP4mkoesorL4/VuZ9CaeluD+l/awsVDG0PwWwenvUeLE/pykkA42CsD97P8zU9DWxP8KtfMHFY7M/FYp7abjPtj9bL6/3SDm7PxO2SMr0MMA/PxQOrSEIwz9v0loKhAjGP85UXXsaG8k/2H7hitgqzD91IP3mBiTPPyhjB8Lx+dA/1W9aFSpE0j+GO5A6lWfTP3VcxO9KWtQ/r58GgZQQ1T/BZlxKcXzVP1TL826FjtU/6YpLqt041T9L8ecS8nLUPzhCBStxPdM/CXDyLUKk0T/vEGHa7nvPPwrObCkfUss/Xn+sSkkQxz80k/KiQvzCP4qkoesorL4/WuZ9CaeluD+h/awsVDG0PwawenvUeLE/pSkkA42CsD98P8zU9DWxP8KtfMHFY7M/D4p7abjPtj9UL6/3SDm7PxG2SMr0MMA/PhQOrSEIwz9p0loKhAjGP81UXXsaG8k/2H7hitgqzD9xIP3mBiTPPyhjB8Lx+dA/1W9aFSpE0j+FO5A6lWfTP3VcxO9KWtQ/r58GgZQQ1T/BZlxKcXzVP1PL826FjtU/6IpLqt041T9N8ecS8nLUPzhCBStxPdM/3XJQ1/Lu0T+m+AfWg17QPyYUWf8UF80/bYpEFS8nyT98NdqlYi7FP6YpMPRWbME/cjENO24zvD/m+H6FpMi2P9llyKnq2LI/uwJDMLeGsD+kDna1VqyvP1Fv3HuLsLA/fZrJn/Dqsj9pYqDBcU62Px1b/3Ojn7o/NBZR5/+jvz/ugBhobZLCP2AHhlojeMU/T3uR/E9syD8f21z0wFnLP7DT9z9sLM4/XDLuKJxo0D8oI6BF8JrRP+Y06Lg/pNI/qX6+eyt70z9ScgUHEBXUPzMZDDyUZdQ/W4Ddgnlf1D/HcBT4G/fTP7t5/+EgJtM/3XJQ1/Lu0T+n+AfWg17QPygUWf8UF80/cIpEFS8nyT9/NdqlYi7FP6UpMPRWbME/dDENO24zvD/q+H6FpMi2P9VlyKnq2LI/vQJDMLeGsD+gDna1VqyvP1Bv3HuLsLA/f5rJn/Dqsj9jYqDBcU62PxZb/3Ojn7o/MhZR5/+jvz/sgBhobZLCP1sHhlojeMU/THuR/E9syD8f21z0wFnLP6nT9z9sLM4/XDLuKJxo0D8oI6BF8JrRP+U06Lg/pNI/qn6+eyt70z9RcgUHEBXUPzIZDDyUZdQ/XIDdgnlf1D/GcBT4G/fTP715/+EgJtM/3nJQ1/Lu0T+Rap2ODoXQPwh8gjxc+s0/Jv864Ix5yj8akh660cDGP5vKWmh1DcM/V/Fvc4Mzvz+xA4An4y+5PxBHjkeEXrQ/8TY1ccn0sD/g7NB5IxuuP+gbWxlbU60/NJ8d28tlrz/LtzdRhQGyP/PfefMgY7U/Fhyu/+iguT9vvJw3RoS+P8Rmu4q27ME/fiB9CRm4xD+3hH+U2Y3HP5rC0E3CWMo/R4etV4UEzT8uTwCIsX3PP4j5kpLo2NA/CszjNKHH0T+8e7JRL4LSPw+caSMP/9I/HulodKgz0z8TUg4V+hTTPyLsXdXEmdI/XZmEPdC90T+Rap2ODoXQPwx8gjxc+s0/J/864Ix5yj8bkh660cDGP57KWmh1DcM/V/Fvc4Mzvz+yA4An4y+5PxVHjkeEXrQ/7jY1ccn0sD/j7NB5IxuuP+MbWxlbU60/NJ8d28tlrz/MtzdRhQGyP+7fefMgY7U/Dxyu/+iguT9tvJw3RoS+P8Jmu4q27ME/eSB9CRm4xD+2hH+U2Y3HP5nC0E3CWMo/Q4etV4UEzT8sTwCIsX3PP4f5kpLo2NA/CczjNKHH0T+7e7JRL4LSPw+caSMP/9I/H+lodKgz0z8UUg4V+hTTPyPsXdXEmdI/X5mEPdC90T+Sap2ODoXQP7qqWuIMCc4/krCkMSkKyz/tn0KL/qzHP966BEN6KMQ/NIcE3Gm2wD9DL5/a4Ri7PxDeXRiOrrU/aevKfc9wsT8+muLacBWtP4PtUCUtH6o/P1viWHr4qT9OAtoo5nOsP9Z5LDwjo7A/rskGKvsItD8YKcmSpzi4P97+x6Mx/7w/xBL4Z9UVwT/TrvDf7MfDP67CV4jxf8Y/yKGjy8goyT9b9UxY9K3LP9yr4kaz+80/baR3eF//zz+Qw/jkzNPQPzsXtPbqcdE/QISHHK3R0T+5VEFRS+rRP5RXj6oVs9E/84bYjz0l0T9DKIOqnz7QP7uqWuIMCc4/lbCkMSkKyz/vn0KL/qzHP+C6BEN6KMQ/N4cE3Gm2wD9DL5/a4Ri7PxLeXRiOrrU/bevKfc9wsT86muLacBWtP4btUCUtH6o/PFviWHr4qT9JAtoo5nOsP9V5LDwjo7A/qckGKvsItD8RKcmSpzi4P9z+x6Mx/7w/whL4Z9UVwT/OrvDf7MfDP6zCV4jxf8Y/yKGjy8goyT9X9UxY9K3LP9ur4kaz+80/a6R3eF//zz+Pw/jkzNPQPzwXtPbqcdE/QYSHHK3R0T+6VEFRS+rRP5VXj6oVs9E/84bYjz0l0T9EKIOqnz7QP7yqWuIMCc4/xMPO2UPkyj9tl0g/+PXHP9bC9HTiusQ/lL07xntnwT+DHlzSeWS8P4sCGc1zmbY/6G7TmQa+sT/3cVslthasP5Kc07e/Rqc/YfT7HmwkpT9MN2yvyKClP1caKvXei6g/OfcexPWcrT+x4pIE8T2yP/OGtifMZLY/ut2TP0MTuz/Kp6yUiA3AP67Ck1H4p8I/9SbglphDxT8i1aMwgsvHP3sTVGYbK8o/vMhxR2FOzD9S7wXKgyLOPwVyOAJols8/arC++01N0D9MaKVCW5DQP0fXu4xojdA/vsssrh0+0D9mixrDOzzPP4beeUmXWs0/xcPO2UPkyj9xl0g/+PXHP9fC9HTiusQ/lr07xntnwT+JHlzSeWS8P4sCGc1zmbY/6W7TmQa+sT/6cVslthasP46c07e/Rqc/Y/T7HmwkpT9JN2yvyKClP1MaKvXei6g/O/cexPWcrT+s4pIE8T2yP+yGtifMZLY/uN2TP0MTuz/Jp6yUiA3AP6rCk1H4p8I/9CbglphDxT8h1aMwgsvHP3cTVGYbK8o/vMhxR2FOzD9S7wXKgyLOPwNyOAJols8/abC++01N0D9LaKVCW5DQP0jXu4xojdA/vsssrh0+0D9nixrDOzzPP4veeUmXWs0/xsPO2UPkyj+inXj+4KTHP81us5nDxsQ/IU91pRSswT+0iKvYOg29Pzxg5egmE7c/j1HrJd3FsT9o5PfNYNuqP2f503VGd6Q/KUGGV6SToD9Txl5ae3eeP5DpsHELWKA/VGl99h61oz/qCANkPgupP55eoPwXA7A/Eg4maBMmtD/h6WFgcMG4P163DNs9qb0/sSzm74JZwT+XBMyEo9rDP8G4nElcQ8Y/+v99Hwx/yD+EvLg5f3nKPzSCFfLFH8w/pDZ+EAxhzT9Q+2Rr9S7OP+68Gsxffc4/Dry1FgJCzj/5KnguznTNP9/3gK/bEcw/fcmUNNkcyj+inXj+4KTHP9Bus5nDxsQ/Ik91pRSswT+1iKvYOg29P0Rg5egmE7c/j1HrJd3FsT9p5PfNYNuqP2r503VGd6Q/JUGGV6SToD9Wxl5ae3eeP4zpsHELWKA/Tml99h61oz/qCANkPgupP5leoPwXA7A/DA4maBMmtD/f6WFgcMG4P1u3DNs9qb0/rSzm74JZwT+WBMyEo9rDP8G4nElcQ8Y/9v99Hwx/yD+DvLg5f3nKPzSCFfLFH8w/ojZ+EAxhzT9Q+2Rr9S7OP+28Gsxffc4/D7y1FgJCzj/5KnguznTNP9/3gK/bEcw/gcmUNNkcyj+knXj+4KTHP7a1GH8fU8Q/zTp7vIyEwT80OVsI5hC9PzUAZNJ1G7c/vvAb17GIsT8FewPp5lupPxXfyhXumaE/H5smY11AmD8zIJWr2CuSPxFw55FE9pA/QmEFeHpglD/KomJqwPubPw1Jab8/nKM/NUAgqsi5qj9YAMTfVYCxP+vWrIJyDbY/044QozXauj+F+BQXuL2/P/vmIibIR8I/R+/8voOTxD+SmNQ4d63GP3Q0lGRQgcg/6KqFWAz8yT8g+891Hw3LPzeBvFk5p8s/C1fs+mjAyz+EoS5J41HLP4zGU88XWMo/GoEEs8rTyD8lV4WQcMzGP7a1GH8fU8Q/0Dp7vIyEwT82OVsI5hC9PzcAZNJ1G7c/xPAb17GIsT8FewPp5lupPxbfyhXumaE/IpsmY11AmD8oIJWr2CuSPxVw55FE9pA/OmEFeHpglD+/omJqwPubPw1Jab8/nKM/LEAgqsi5qj9QAMTfVYCxP+rWrIJyDbY/z44QozXauj9++BQXuL2/P/nmIibIR8I/RO/8voOTxD+PmNQ4d63GP3M0lGRQgcg/6KqFWAz8yT8e+891Hw3LPzeBvFk5p8s/C1fs+mjAyz+GoS5J41HLP47GU88XWMo/GoEEs8rTyD8oV4WQcMzGP7i1GH8fU8Q/kefwwvX1wD/JBuN4DWy8P96mei4grbY/3Rbp6vMGsT/X7FH4xqWnP7klPl9bgJ0/yp0RhOVUjz+ZBJ/Af3Z5Pw/hlKI/OF0/3zzAoUGUXz/Xsh9FqQV6P6JaCXyI6o0/uf91CKrDmj86hlmfWqakP+nsK6pN9aw/C/wnI/X9sj8PTr+OlLS3P+JKJ/zcdrw/kt58lKiOwD9I7nbT47/CP6of0sGeusQ/MyO+7Hpqxj/KeHlGb7zHP2cpb1g5oMg/HqZqx4QJyT/DbwawcPDIPzlp8/h/Ucg/TaUvbWgtxz/GRIGgaInFP/7tY5aYcMM/kufwwvX1wD/PBuN4DWy8P+Kmei4grbY/3xbp6vMGsT/g7FH4xqWnP70lPl9bgJ0/zJ0RhOVUjz+xBJ/Af3Z5P3DglKI/OF0/Az3AoUGUXz+xsh9FqQV6P4BaCXyI6o0/uP91CKrDmj8xhlmfWqakP93sK6pN9aw/CvwnI/X9sj8LTr+OlLS3P9tKJ/zcdrw/kt58lKiOwD9G7nbT47/CP6cf0sGeusQ/MyO+7Hpqxj/JeHlGb7zHP2Ypb1g5oMg/H6Zqx4QJyT/DbwawcPDIPztp8/h/Ucg/TqUvbWgtxz/HRIGgaInFPwLuY5aYcMM/kufwwvX1wD+SV+nxpCW7P14FAJ67wLU/f/aiFQU3sD+gW/lVcbSlP/kviBxK9Jc/PyiyPbOLfj/4x2n+KL1yv+BlSYu4AIm/ybiX23VOj78EOWGVyIuMvz82r43Ya4G/iJavkDZQQT+7X2UXs8+JP2ioEUjsw5s/MhoI44I+pj+bfxTCNTmvP4sZVOagQbQ/adGOM5fnuD8ZHuaktWe9PzwYtf4mzcA/F2HK4kyrwj+faoGU8jnEP6FlsksWZsU/oxCcS74fxj/7fz3WfVvGP/xJlNhZE8Y/NuYxC+ZGxT+YCHiU2frDP2uQpVCzOMI/RREX5w8PwD+UV+nxpCW7P2QFAJ67wLU/gvaiFQU3sD+kW/lVcbSlPw0wiBxK9Jc/QyiyPbOLfj/zx2n+KL1yv9dlSYu4AIm/2biX23VOj78AOWGVyIuMv1Q2r43Ya4G/NJSvkDZQQT+2X2UXs8+JP1ioEUjsw5s/JxoI44I+pj+ZfxTCNTmvP4cZVOagQbQ/YtGOM5fnuD8WHuaktWe9PzsYtf4mzcA/FGHK4kyrwj+faoG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       "layout": {
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         "family": "Times"
        },
        "height": 720.5403377110692,
        "scene": {
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          "gridcolor": "darkgrey",
          "showbackground": false,
          "showgrid": true,
          "showticklabels": true,
          "title": {
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          "showbackground": false,
          "showgrid": true,
          "showticklabels": true,
          "title": {
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          "gridcolor": "darkgrey",
          "showbackground": false,
          "showgrid": true,
          "showticklabels": true,
          "title": {
           "text": "Z (m)"
          },
          "zeroline": true,
          "zerolinecolor": "darkgrey"
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        },
        "template": {
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              "solidity": 0.2
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              "solidity": 0.2
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             "linecolor": "white",
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             "minorgridcolor": "white",
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             "ticks": ""
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            "type": "choropleth"
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            "type": "contour"
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            "type": "contourcarpet"
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QNJA0oDSgNLA0sDTANMA00DTQNOA04DTwNPA1ADUANRA1EDUgNSA1MDUwNUA1QDVQNWA1YDVgNXA1cDWANYA1kDWQNaA1oDWwNbA1wDXANdA10DXgNeA18DXwNgA2ADYQNhA2IDYgNjA2MDZANkA2UDZQNmA2YDZwNnA2gDaANpA2kDagNqA2sDawNsA2wDbQNtA24DbgNvA28DcANwA3EDcQNyA3IDcwNzA3QDdAN1A3UDdgN2A3cDdwN4A3gDeQN5A3oDegN7A3sDfAN8A30DfQN+A34DfwN\\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\\u002fAD8QPxA\\u002fID8gPzA\\u002fMD9AP0A\\u002fUD9QP2A\\u002fYD9wP3A\\u002fgD+AP5A\\u002fkD+gP6A\\u002fsD+wP8A\\u002fwD\\u002fQP9A\\u002f4D\\u002fgP\\u002fA\\u002f8DAAQABAEEAQQCBAIEAwQDBAQEBAQFBAUEBgQGBAcEBwQIBAgECQQJBAoECgQLBAsEDAQNBA0EDQQOBA4EDwQPBBAEEAQRBBEEEgQSBBMEEwQUBBQEFQQVBBYEFgQXBBcEGAQYBBkEGQQaBBoEGwQbBBwEHAQdBB0EHgQeBB8EHwQgBCAEIQQhBCIEIgQjBCMEJAQkBCUEJQQmBCYEJwQnBCgEKAQpBCkEKgQqBCsEKwQsBCwELQQtBC4ELgQvBC8EMAQwBDEEMQQyBDIEMwQzBDQENAQ1BDUENgQ2BDcENwQ4BDgEOQQ5BDoEOgQ7BDsEPAQ8BD0EPQQ+BD4EPwQ\\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\\u002fBL8EwATABMEEwQTCBMIEwwTEBMQExATFBMUExgTGBMcExwTIBMgEyQTJBMoEygTLBMsEzATMBM0EzQTOBM4EzwTPBNAE0ATRBNEE0gTSBNME0wTUBNQE1QTVBNYE1gTXBNcE2ATYBNkE2QTaBNoE2wTbBNwE3ATdBN0E3gTeBN8E3wTgBOAE4QThBOIE4gTjBOME5ATkBOUE5QTmBOYE5wTnBOgE6ATpBOkE6gTqBOsE6wTsBOwE7QTtBO4E7gTvBO8E8ATwBPEE8QTyBPIE8wTzBPQE9AT1BPUE9gT2BPcE9wT4BPgE+QT5BPoE+gT7BPsE\\u002fAT8BP0E\\u002fQT+BP4E\\u002fwT\\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\\u002fBX8FgAWABYEFgQWCBYIFgwWDBYQFhAWFBYUFhgWGBYcFhwWIBYgFiQWJBYoFigWLBYsFjAWMBY0FjQWOBY4FjwWPBZAFkAWRBZEFkgWSBZMFkwWUBZQFlQWVBZYFlgWXBZcFmAWYBZkFmQWaBZoFmwWbBZwFnAWdBZ0FngWeBZ8FnwWgBaAFoQWhBaIFogWjBaMFpAWkBaUFpQWmBaYFpwWnBagFqAWpBakFqgWqBasFqwWsBawFrQWtBa4FrgWvBa8FsAWwBbEFsQWyBbIFswWzBbQFtAW1BbUFtgW2BbcFuAW4BbgFuQW5BboFugW7BbsFvAW8Bb0FvQW+Bb4FvwW\\u002fBcAFwAXBBcEFwgXCBcMFwwXEBcQFxQXFBcYFxgXHBccFyAXIBckFyQXKBcoFywXLBcwFzAXNBc0FzgXOBc8FzwXQBdAF0QXRBdIF0gXTBdMF1AXUBdUF1QXWBdYF1wXXBdgF2AXZBdkF2gXaBdsF2wXcBdwF3QXdBd4F3gXfBd8F4AXgBeEF4QXiBeIF4wXjBeQF5AXlBeUF5gXmBecF5wXoBegF6QXpBeoF6gXrBesF7AXsBe0F7QXuBe4F7wXvBfAF8AXxBfEF8gXyBfMF8wX0BfUF9QX1BfYF9gX3BfcF+AX4BfkF+QX6BfoF+wX7BfwF\\u002fAX9Bf0F\\u002fgX+Bf8F\\u002fwUABgAGAQYBBgIGAgYDBgMGBAYEBgUGBQYGBgYGBwYHBggGCAYJBgkGCgYKBgsGCwYMBgwGDQYNBg4GDgYPBg8GEAYQBhEGEQYSBhIGEwYTBhQGFAYVBhUGFgYWBhcGFwYYBhgGGQYZBhoGGgYbBhsGHAYcBh0GHQYeBh4GHwYfBiAGIAYhBiEGIgYiBiMGIwYkBiQGJQYlBiYGJgYnBicGKAYoBikGKQYqBioGKwYrBiwGLAYtBi0GLgYuBi8GLwYwBjAGMQYyBjIGMgYzBjMGNAY0BjUGNQY2BjYGNwY3BjgGOAY5BjkGOgY6BjsGOwY8BjwGPQY9Bj4GPgY\\u002fBj8GQAZABkEGQQZCBkIGQwZDBkQGRAZFBkUGRgZGBkcGRwZIBkgGSQZJBkoGSgZLBksGTAZMBk0GTQZOBk4GTwZPBlAGUAZRBlEGUgZSBlMGUwZUBlQGVQZVBlYGVgZXBlcGWAZYBlkGWQZaBloGWwZbBlwGXAZdBl0GXgZeBl8GXwZgBmAGYQZhBmIGYgZjBmMGZAZkBmUGZQZmBmYGZwZnBmgGaAZpBmkGagZqBmsGawZsBmwGbQZtBm4GbwZvBm8GcAZwBnEGcQZyBnIGcwZzBnQGdAZ1BnUGdgZ2BncGdwZ4BngGeQZ5BnoGegZ7BnsGfAZ8Bn0GfQZ+Bn4GfwZ\\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\\u002fQb9Bv4G\\u002fgb\\u002fBv8GAAcABwEHAQcCBwIHAwcDBwQHBAcFBwUHBgcGBwcHBwcIBwgHCQcJBwoHCgcLBwsHDAcMBw0HDQcOBw4HDwcPBxAHEAcRBxEHEgcSBxMHEwcUBxQHFQcVBxYHFgcXBxcHGAcYBxkHGQcaBxoHGwcbBxwHHAcdBx0HHgceBx8HHwcgByAHIQchByIHIgcjByMHJAckByUHJgcmByYHJwcnBygHKAcpBykHKgcqBysHKwcsBywHLQctBy4HLgcvBy8HMAcwBzEHMQcyBzIHMwczBzQHNAc1BzUHNgc2BzcHNwc4BzgHOQc5BzoHOgc7BzsHPAc8Bz0HPQc+Bz4HPwc\\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\\u002fB78HwAfAB8EHwQfCB8IHwwfDB8QHxAfFB8UHxgfGB8cHxwfIB8gHyQfJB8oHygfLB8sHzAfMB80HzQfOB84HzwfPB9AH0AfRB9EH0gfSB9MH0wfUB9QH1QfVB9YH1gfXB9cH2AfYB9kH2QfaB9oH2wfbB9wH3QfdB90H3gfeB98H3wfgB+AH4QfhB+IH4gfjB+MH5AfkB+UH5QfmB+YH5wfnB+gH6AfpB+kH6gfqB+sH6wfsB+wH7QftB+4H7gfvB+8H8AfwB\\u002fEH8QfyB\\u002fIH8wfzB\\u002fQH9Af1B\\u002fUH9gf2B\\u002fcH9wf4B\\u002fgH+Qf5B\\u002foH+gf7B\\u002fsH\\u002fAf8B\\u002f0H\\u002fQf+B\\u002f4H\\u002fwf\\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\\u002fCH8IgAiACIEIgQiCCIIIgwiDCIQIhAiFCIUIhgiGCIcIhwiICIgIiQiJCIoIigiLCIsIjAiMCI0IjQiOCI4IjwiPCJAIkAiRCJEIkgiSCJMIlAiUCJQIlQiVCJYIlgiXCJcImAiYCJkImQiaCJoImwibCJwInAidCJ0IngieCJ8InwigCKAIoQihCKIIogijCKMIpAikCKUIpQimCKYIpwinCKgIqAipCKkIqgiqCKsIqwisCKwIrQitCK4IrgivCK8IsAiwCLEIsQiyCLIIswizCLQItAi1CLUItgi2CLcItwi4CLgIuQi5CLoIugi7CLsIvAi8CL0IvQi+CL4Ivwi\\u002fCMAIwAjBCMEIwgjCCMMIwwjECMQIxQjFCMYIxgjHCMcIyAjICMkIyQjKCMoIywjLCMwIzAjNCM0IzgjOCM8IzwjQCNEI0QjRCNII0gjTCNMI1AjUCNUI1QjWCNYI1wjXCNgI2AjZCNkI2gjaCNsI2wjcCNwI3QjdCN4I3gjfCN8I4AjgCOEI4QjiCOII4wjjCOQI5AjlCOUI5gjmCOcI5wjoCOgI6QjpCOoI6gjrCOsI7AjsCO0I7QjuCO4I7wjvCPAI8AjxCPEI8gjyCPMI8wj0CPQI9Qj1CPYI9gj3CPcI+Aj4CPkI+Qj6CPoI+wj7CPwI\\u002fAj9CP0I\\u002fgj+CP8I\\u002fwgACQAJAQkBCQIJAgkDCQMJBAkECQUJBQkGCQYJBwkHCQgJCAkJCQkJCgkKCQsJCwkMCQwJDQkOCQ4JDgkPCQ8JEAkQCREJEQkSCRIJEwkTCRQJFAkVCRUJFgkWCRcJFwkYCRgJGQkZCRoJGgkbCRsJHAkcCR0JHQkeCR4JHwkfCSAJIAkhCSEJIgkiCSMJIwkkCSQJJQklCSYJJgknCScJKAkoCSkJKQkqCSoJKwkrCSwJLAktCS0JLgkuCS8JLwkwCTAJMQkxCTIJMgkzCTMJNAk0CTUJNQk2CTYJNwk3CTgJOAk5CTkJOgk6CTsJOwk8CTwJPQk9CT4JPgk\\u002fCT8JQAlACUEJQQlCCUIJQwlDCUQJRAlFCUUJRglGCUcJRwlICUgJSQlJCUoJSwlLCUsJTAlMCU0JTQlOCU4JTwlPCVAJUAlRCVEJUglSCVMJUwlUCVQJVQlVCVYJVglXCVcJWAlYCVkJWQlaCVoJWwlbCVwJXAldCV0JXgleCV8JXwlgCWAJYQlhCWIJYgljCWMJZAlkCWUJZQlmCWYJZwlnCWgJaAlpCWkJaglqCWsJawlsCWwJbQltCW4JbglvCW8JcAlwCXEJcQlyCXIJcwlzCXQJdAl1CXUJdgl2CXcJdwl4CXgJeQl5CXoJegl7CXsJfAl8CX0JfQl+CX4Jfwl\\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\\u002fQn9Cf4J\\u002fgn\\u002fCf8JAAoACgEKAgoCCgIKAwoDCgQKBAoFCgUKBgoGCgcKBwoICggKCQoJCgoKCgoLCgsKDAoMCg0KDQoOCg4KDwoPChAKEAoRChEKEgoSChMKEwoUChQKFQoVChYKFgoXChcKGAoYChkKGQoaChoKGwobChwKHAodCh0KHgoeCh8KHwogCiAKIQohCiIKIgojCiMKJAokCiUKJQomCiYKJwonCigKKAopCikKKgoqCisKKwosCiwKLQotCi4KLgovCi8KMAowCjEKMQoyCjIKMwozCjQKNAo1CjUKNgo2CjcKNwo4CjgKOQo5CjoKOgo7CjsKPAo8Cj0KPQo+Cj8KPwo\\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\\u002fCr8KwArACsEKwQrCCsIKwwrDCsQKxArFCsUKxgrGCscKxwrICsgKyQrJCsoKygrLCssKzArMCs0KzQrOCs4KzwrPCtAK0ArRCtEK0grSCtMK0wrUCtQK1QrVCtYK1grXCtcK2ArYCtkK2QraCtoK2wrbCtwK3ArdCt0K3greCt8K3wrgCuAK4QrhCuIK4grjCuMK5ArkCuUK5QrmCuYK5wrnCugK6ArpCukK6grqCusK6wrsCuwK7QrtCu4K7grvCu8K8ArwCvEK8QryCvIK8wrzCvQK9Ar1CvYK9gr2CvcK9wr4CvgK+Qr5CvoK+gr7CvsK\\u002fAr8Cv0K\\u002fQr+Cv4K\\u002fwr\\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\\u002fC38LgAuAC4ELgQuCC4ILgwuDC4QLhAuFC4ULhguGC4cLhwuIC4gLiQuJC4oLiguLC4sLjAuMC40LjQuOC44LjwuPC5ALkAuRC5ELkguSC5MLkwuUC5QLlQuVC5YLlguXC5cLmAuYC5kLmQuaC5oLmwubC5wLnAudC50LngueC58LnwugC6ALoQuhC6ILogujC6MLpAukC6ULpQumC6YLpwunC6gLqAupC6kLqguqC6sLqwusC60LrQutC64LrguvC68LsAuwC7ELsQuyC7ILswuzC7QLtAu1C7ULtgu2C7cLtwu4C7gLuQu5C7oLugu7C7sLvAu8C70LvQu+C74Lvwu\\u002fC8ALwAvBC8ELwgvCC8MLwwvEC8QLxQvFC8YLxgvHC8cLyAvIC8kLyQvKC8oLywvLC8wLzAvNC80LzgvOC88LzwvQC9AL0QvRC9IL0gvTC9ML1AvUC9UL1QvWC9YL1wvXC9gL2AvZC9kL2gvaC9sL2wvcC9wL3QvdC94L3gvfC98L4AvgC+EL4QviC+IL4wvjC+QL5AvlC+UL5gvmC+cL5wvoC+gL6QvqC+oL6gvrC+sL7AvsC+0L7QvuC+4L7wvvC\\u002fAL8AvxC\\u002fEL8gvyC\\u002fML8wv0C\\u002fQL9Qv1C\\u002fYL9gv3C\\u002fcL+Av4C\\u002fkL+Qv6C\\u002foL+wv7C\\u002fwL\\u002fAv9C\\u002f0L\\u002fgv+C\\u002f8L\\u002fwsADAAMAQwBDAIMAgwDDAMMBAwEDAUMBQwGDAYMBwwHDAgMCAwJDAkMCgwKDAsMCwwMDAwMDQwNDA4MDgwPDA8MEAwQDBEMEQwSDBIMEwwTDBQMFAwVDBUMFgwWDBcMFwwYDBgMGQwZDBoMGgwbDBsMHAwcDB0MHQweDB4MHwwfDCAMIAwhDCEMIgwiDCMMIwwkDCQMJQwlDCYMJwwnDCcMKAwoDCkMKQwqDCoMKwwrDCwMLAwtDC0MLgwuDC8MLwwwDDAMMQwxDDIMMgwzDDMMNAw0DDUMNQw2DDYMNww3DDgMOAw5DDkMOgw6DDsMOww8DDwMPQw9DD4MPgw\\u002fDD8MQAxADEEMQQxCDEIMQwxDDEQMRAxFDEUMRgxGDEcMRwxIDEgMSQxJDEoMSgxLDEsMTAxMDE0MTQxODE4MTwxPDFAMUAxRDFEMUgxSDFMMUwxUDFQMVQxVDFYMVgxXDFcMWAxYDFkMWQxaDFoMWwxbDFwMXAxdDF0MXgxeDF8MXwxgDGAMYQxhDGIMYgxjDGQMZAxkDGUMZQxmDGYMZwxnDGgMaAxpDGkMagxqDGsMawxsDGwMbQxtDG4MbgxvDG8McAxwDHEMcQxyDHIMcwxzDHQMdAx1DHUMdgx2DHcMdwx4DHgMeQx5DHoMegx7DHsMfAx8DH0MfQx+DH4Mfwx\\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\\u002fQz9DP4M\\u002fgz\\u002fDP8MAA0ADQENAQ0CDQINAw0DDQQNBA0FDQUNBg0GDQcNBw0IDQgNCQ0JDQoNCg0LDQsNDA0MDQ0NDQ0ODQ4NDw0PDRANEA0RDRENEg0SDRMNEw0UDRQNFQ0VDRYNFg0XDRcNGA0YDRkNGQ0aDRsNGw0bDRwNHA0dDR0NHg0eDR8NHw0gDSANIQ0hDSINIg0jDSMNJA0kDSUNJQ0mDSYNJw0nDSgNKA0pDSkNKg0qDSsNKw0sDSwNLQ0tDS4NLg0vDS8NMA0wDTENMQ0yDTINMw0zDTQNNA01DTUNNg02DTcNNw04DTgNOQ05DToNOg07DTsNPA08DT0NPQ0+DT4NPw0\\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\\u002fDb8NwA3ADcENwQ3CDcINww3DDcQNxA3FDcUNxg3GDccNxw3IDcgNyQ3JDcoNyg3LDcsNzA3MDc0NzQ3ODc4Nzw3PDdAN0A3RDdIN0g3SDdMN0w3UDdQN1Q3VDdYN1g3XDdcN2A3YDdkN2Q3aDdoN2w3bDdwN3A3dDd0N3g3eDd8N3w3gDeAN4Q3hDeIN4g3jDeMN5A3kDeUN5Q3mDeYN5w3nDegN6A3pDekN6g3qDesN6w3sDewN7Q3tDe4N7g3vDe8N8A3wDfEN8Q3yDfIN8w3zDfQN9A31DfUN9g32DfcN9w34DfgN+Q35DfoN+g37DfsN\\u002fA38Df0N\\u002fQ3+Df4N\\u002fw3\\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\\u002fDn8OgA6ADoEOgQ6CDoIOgw6DDoQOhA6FDoUOhg6GDocOhw6IDokOiQ6JDooOig6LDosOjA6MDo0OjQ6ODo4Ojw6PDpAOkA6RDpEOkg6SDpMOkw6UDpQOlQ6VDpYOlg6XDpcOmA6YDpkOmQ6aDpoOmw6bDpwOnA6dDp0Ong6eDp8Onw6gDqAOoQ6hDqIOog6jDqMOpA6kDqUOpQ6mDqYOpw6nDqgOqA6pDqkOqg6qDqsOqw6sDqwOrQ6tDq4Org6vDq8OsA6wDrEOsQ6yDrIOsw6zDrQOtA61DrUOtg62DrcOtw64DrgOuQ65DroOug67DrsOvA68Dr0OvQ6+Dr4Ovw6\\u002fDsAOwA7BDsEOwg7CDsMOww7EDsQOxQ7GDsYOxg7HDscOyA7IDskOyQ7KDsoOyw7LDswOzA7NDs0Ozg7ODs8Ozw7QDtAO0Q7RDtIO0g7TDtMO1A7UDtUO1Q7WDtYO1w7XDtgO2A7ZDtkO2g7aDtsO2w7cDtwO3Q7dDt4O3g7fDt8O4A7gDuEO4Q7iDuIO4w7jDuQO5A7lDuUO5g7mDucO5w7oDugO6Q7pDuoO6g7rDusO7A7sDu0O7Q7uDu4O7w7vDvAO8A7xDvEO8g7yDvMO8w70DvQO9Q71DvYO9g73DvcO+A74DvkO+Q76DvoO+w77DvwO\\u002fA79Dv0O\\u002fg7+Dv8O\\u002fw4ADwAPAQ8BDwIPAw8DDwMPBA8EDwUPBQ8GDwYPBw8HDwgPCA8JDwkPCg8KDwsPCw8MDwwPDQ8NDw4PDg8PDw8PEA8QDxEPEQ8SDxIPEw8TDxQPFA8VDxUPFg8WDxcPFw8YDxgPGQ8ZDxoPGg8bDxsPHA8cDx0PHQ8eDx4PHw8fDyAPIA8hDyEPIg8iDyMPIw8kDyQPJQ8lDyYPJg8nDycPKA8oDykPKQ8qDyoPKw8rDywPLA8tDy0PLg8uDy8PLw8wDzAPMQ8xDzIPMg8zDzMPNA80DzUPNQ82DzYPNw83DzgPOA85DzkPOg86DzsPOw88DzwPPQ89Dz4PPg8\\u002fD0APQA9AD0EPQQ9CD0IPQw9DD0QPRA9FD0UPRg9GD0cPRw9ID0gPSQ9JD0oPSg9LD0sPTA9MD00PTQ9OD04PTw9PD1APUA9RD1EPUg9SD1MPUw9UD1QPVQ9VD1YPVg9XD1cPWA9YD1kPWQ9aD1oPWw9bD1wPXA9dD10PXg9eD18PXw9gD2APYQ9hD2IPYg9jD2MPZA9kD2UPZQ9mD2YPZw9nD2gPaA9pD2kPag9qD2sPaw9sD2wPbQ9tD24Pbg9vD28PcA9wD3EPcQ9yD3IPcw9zD3QPdA91D3UPdg92D3cPdw94D3gPeQ95D3oPeg97D3sPfA99D30PfQ9+D34Pfw9\\u002fD4APgA+BD4EPgg+CD4MPgw+ED4QPhQ+FD4YPhg+HD4cPiA+ID4kPiQ+KD4oPiw+LD4wPjA+ND40Pjg+OD48Pjw+QD5APkQ+RD5IPkg+TD5MPlA+UD5UPlQ+WD5YPlw+XD5gPmA+ZD5kPmg+aD5sPmw+cD5wPnQ+dD54Png+fD58PoA+gD6EPoQ+iD6IPow+jD6QPpA+lD6UPpg+mD6cPpw+oD6gPqQ+pD6oPqg+rD6sPrA+sD60PrQ+uD64Prw+vD7APsA+xD7EPsg+yD7MPsw+0D7QPtQ+1D7YPtg+3D7cPuA+4D7kPug+6D7oPuw+7D7wPvA+9D70Pvg++D78Pvw\\u002fAD8APwQ\\u002fBD8IPwg\\u002fDD8MPxA\\u002fED8UPxQ\\u002fGD8YPxw\\u002fHD8gPyA\\u002fJD8kPyg\\u002fKD8sPyw\\u002fMD8wPzQ\\u002fND84Pzg\\u002fPD88P0A\\u002fQD9EP0Q\\u002fSD9IP0w\\u002fTD9QP1A\\u002fVD9UP1g\\u002fWD9cP1w\\u002fYD9gP2Q\\u002fZD9oP2g\\u002fbD9sP3A\\u002fcD90P3Q\\u002feD94P3w\\u002ffD+AP4A\\u002fhD+EP4g\\u002fiD+MP4w\\u002fkD+QP5Q\\u002flD+YP5g\\u002fnD+cP6A\\u002foD+kP6Q\\u002fqD+oP6w\\u002frD+wP7A\\u002ftD+0P7g\\u002fuD+8P7w\\u002fwD\\u002fAP8Q\\u002fxD\\u002fIP8g\\u002fzD\\u002fMP9A\\u002f0D\\u002fUP9Q\\u002f2D\\u002fcP9w\\u002f3D\\u002fgP+A\\u002f5D\\u002fkP+g\\u002f6D\\u002fsP+w\\u002f8D\\u002fwP\\u002fQ\\u002f9D\\u002f4P\\u002fg\\u002f\\u002fD\\u002f8PABAAEAEQARACEAIQAxADEAQQBBAFEAUQBhAGEAcQBxAIEAgQCRAJEAoQChALEAsQDBAMEA0QDRAOEA4QDxAPEBAQEBAREBEQEhASEBMQExAUEBQQFRAVEBYQFhAXEBcQGBAYEBkQGRAaEBoQGxAbEBwQHBAdEB0QHhAeEB8QHxAgECAQIRAhECIQIhAjECMQJBAkECUQJRAmECYQJxAnECgQKBApECkQKhAqECsQKxAsECwQLRAtEC4QLhAvEC8QMBAwEDEQMRAyEDIQMxA0EDQQNBA1EDUQNhA2EDcQNxA4EDgQORA5EDoQOhA7EDsQPBA8ED0QPRA+ED4QPxA\\u002fEEAQQBBBEEEQQhBCEEMQQxBEEEQQRRBFEEYQRhBHEEcQSBBIEEkQSRBKEEoQSxBLEEwQTBBNEE0QThBOEE8QTxBQEFAQURBREFIQUhBTEFMQVBBUEFUQVRBWEFYQVxBXEFgQWBBZEFkQWhBaEFsQWxBcEFwQXRBdEF4QXhBfEF8QYBBgEGEQYRBiEGIQYxBjEGQQZBBlEGUQZhBmEGcQZxBoEGgQaRBpEGoQahBrEGsQbBBsEG0QbRBuEG4QbxBvEHAQcRBxEHEQchByEHMQcxB0EHQQdRB1EHYQdhB3EHcQeBB4EHkQeRB6EHoQexB7EHwQfBB9EH0QfhB+EH8QfxCAEIAQgRCBEIIQghCDEIMQhBCEEIUQhRCGEIYQhxCHEIgQiBCJEIkQihCKEIsQixCMEIwQjRCNEI4QjhCPEI8QkBCQEJEQkRCSEJIQkxCTEJQQlBCVEJUQlhCWEJcQlxCYEJgQmRCZEJoQmhCbEJsQnBCcEJ0QnRCeEJ4QnxCfEKAQoBChEKEQohCiEKMQoxCkEKQQpRClEKYQphCnEKcQqBCoEKkQqRCqEKoQqxCrEKwQrBCtEK4QrhCuEK8QrxCwELAQsRCxELIQshCzELMQtBC0ELUQtRC2ELYQtxC3ELgQuBC5ELkQuhC6ELsQuxC8ELwQvRC9EL4QvhC\\u002fEL8QwBDAEMEQwRDCEMIQwxDDEMQQxBDFEMUQxhDGEMcQxxDIEMgQyRDJEMoQyhDLEMsQzBDMEM0QzRDOEM4QzxDPENAQ0BDRENEQ0hDSENMQ0xDUENQQ1RDVENYQ1hDXENcQ2BDYENkQ2RDaENoQ2xDbENwQ3BDdEN0Q3hDeEN8Q3xDgEOAQ4RDhEOIQ4hDjEOMQ5BDkEOUQ5RDmEOYQ5xDnEOgQ6BDpEOkQ6hDrEOsQ6xDsEOwQ7RDtEO4Q7hDvEO8Q8BDwEPEQ8RDyEPIQ8xDzEPQQ9BD1EPUQ9hD2EPcQ9xD4EPgQ+RD5EPoQ+hD7EPsQ\\u002fBD8EP0Q\\u002fRD+EP4Q\\u002fxD\\u002fEAARABEBEQERAhECEQMRAxEEEQQRBREFEQYRBhEHEQcRCBEIEQkRCREKEQoRCxELEQwRDBENEQ0RDhEOEQ8RDxEQERARERERERIREhETERMRFBEUERURFREWERYRFxEXERgRGBEZERkRGhEaERsRGxEcERwRHREdER4RHhEfER8RIBEgESERIREiESIRIxEjESQRJBElESURJhEmEScRKBEoESgRKREpESoRKhErESsRLBEsES0RLREuES4RLxEvETARMBExETERMhEyETMRMxE0ETQRNRE1ETYRNhE3ETcROBE4ETkRORE6EToRO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phiP6Q38xlkumO\\u002fiJEhdctAUz9YyKmWmqxWv4grfD2Gow4\\u002fRSa+RMFJWj8LCRyTqHtQv8lHMB1KPm0\\u002fZhRhac+vW78yAVAl8bxbP4gexTOm9x8\\u002fqH4Jz8oRID9c9Hw8oCVav1oYWQLSN2I\\u002fypjCobQ8ZL+kbBzq7xZhP5dkEaP\\u002fvV6\\u002fatak6YrETj\\u002f8KjVU36RZv8J4uXZxsz4\\u002fC\\u002fosHT+KS7\\u002fMI77MJh41P8cS8cjRCzC\\u002fXCxEj6knRT9O8VBXI4RMvwQnx3PBfFc\\u002fTi2SfrInXb9wWkGVQwliP4SSYVfMDWO\\u002fGY8fnyAgZj9YT5Pwk1Fjv2M+LRFPWGY\\u002fMxarGvXQZL8sMuNCqydbP8StCa2vAmC\\u002fNuzKbtogID8xChT03DtKPxfe\\u002fgDx8VG\\u002f4Nriz1w8az8aPQzHtFtbv+RQvXSRlVo\\u002fAHU\\u002fQg5QHD+83HDsSEhavwZCq3FGLmI\\u002fjzUX84lEZL84ahxXzx1hP3+xPOdTB1+\\u002fd0vGKrSeTj8Qyn4AeVtZvwq9f4otR0A\\u002feDo5aeJBS79O9kEYSgw1P6ZlBZq+hjC\\u002fkGEMPZJ+RT8MBtEAaOpLv53SMAFTZ1c\\u002fjVHpnAp3Xb\\u002fMgAQjHdRhP1JY492ILGO\\u002fE\\u002f2EUzQrZj88iOFdpjFjv3TFTTPzYGY\\u002fbEFpULDGZL9Fy1HtPElbP4x5SPEhGWC\\u002fNs+2xXKCID+Q1yxjecZLP7w5XED3RlG\\u002fc7d+d\\u002ftxaz+y1BgUBkFbv4OMRpBGklo\\u002fqH4Jz8oRID+guIBbF4MGP5k\\u002f7DQ7j1q\\u002fFTCofgMsYT\\u002foalydtEhiv3JSnXp4ZWI\\u002ftHnCaqn7V7\\u002flM85IJRRWPxZVxHDq\\u002fVi\\u002fiZuBuSGTTT9bgzVzOglWv9B3ULEtzUU\\u002fuZomsLNrR78C5yWXoHFNP5ZBG8LKg1K\\u002fsE5vFApaWj8C6xbW8Z5ev3mhy9px5GE\\u002fkFsC1chbY7+bfkD\\u002fC3JlP6fn7LZ\\u002fH2O\\u002fAEw0bbZ1aD\\u002ftiPVkvxVkvyv4maCAMWI\\u002fSeACFfBpYr\\u002fpcmQ3oII1PwDRJgmtyQE\\u002fiM+5ijUrVL9SVmPXvK9nP8w1BD3C9Vq\\u002fdZ4QcZJ3Vz8QnYu1mwT9Pv25jxb+q1q\\u002fiEDsI2olYT+2oVt2i1div9gm7gmqU2I\\u002foPnYlfB1WL+QOX3f5BdWP\\u002fONXLufhVi\\u002fK+8vY7+TTj\\u002fP11eUDe1Vv\\u002f6k7u3\\u002f2kU\\u002f2BVzZymoR79OuHmFvdBNP6gp3obBTVK\\u002fLF+dDthrWj9ZRKmsMLFev0Z6t2qGqGE\\u002fByv0fsWTY78h3vRPfnplPw1Pd4QB8mK\\u002fKk+aKnaDaD8BnlB99xVkv5uSckg8MmI\\u002f2pa0lMqIYr\\u002fAZD85Od81P1R7L7x2xhc\\u002fUBisTPZbU7+SL0di3PNnP+crbnS531q\\u002fg3+HlDx6Vz+guIBbF4MGPxC\\u002fxjKKAB2\\u002fWghg2oPmXL+FrKRomxBfP+XVgWz9zGG\\u002foNZ6TNx1Yj+X0Mf6IMdSv2hj4n5lLls\\u002fAz1BEwq2Vb+x6oOTfe9VP+Go59fkDlq\\u002ff\\u002f7KyYgWTj8h8zRqdjxPv\\u002f2qwSIbvk0\\u002ftFfM22LCUr8PHHwfFx1YP\\u002fS2Y1sYAFu\\u002fZx7cKi05Xj+K+soSxDVhvzt0FGnEyWE\\u002fvnUdcezEYb\\u002fiNmR97B5oP9CcR4OvMmK\\u002fQKNFt1SvZj\\u002fH2vwt\\u002fFpiv4Li14wZIEg\\u002fd2mt3l+FQb9aSrFoG6pWv\\u002fdn+pbnc2M\\u002faeZoJlDHXL82mwXDMqZUPyiJyw0mJyC\\u002fVVoDs38AXb\\u002fJx7PdKhZfPzo1UpYD1mG\\u002fVTXgFqpJYj8lbPTLVnpTv2KOk3hhQVs\\u002f4D6gv9wFVb\\u002fx2EHDo3VWP15AAH18+Fm\\u002fc9Z+gU88Tj9kVzTQGXFPv7a3uYzqFE4\\u002fpS5Yc4yxUr\\u002fRrlfEo1RYPyRxKkQl21q\\u002fKJuQVW69XT\\u002fBK09kvn9hv+DoALRbzmE\\u002fHdVSj8mVYb9xqlEh\\u002fitoP0MliVmaQ2K\\u002fwnXIDzGWZj9YI5YWrYxiv1I8plhDNEg\\u002f2zuLONgeP79Qpm7APMlVv0T6QQA7xmM\\u002flvRKkFynXL\\u002fwnbyHZaZUPxC\\u002fxjKKAB2\\u002fLsQd2dR0Nb80nhhPJpdev6Dxajnj9Fg\\u002f6CZdsVZgYr9Im+\\u002fn8ARhPwdpz8bdjlC\\u002fvYmwK\\u002f8uXT\\u002fgOXtfDYJRv9OOSQMqiVs\\u002fcY2CvljuWb\\u002fClq1JZkNRP1ZELX3HMk6\\u002fz3fGn9JWRz+\\u002fUewu9O1OvzAl0yaD+lE\\u002fW9\\u002fGqxWsU7\\u002fRg2CiABhVP6JXUem23Vm\\u002fhYHIKdKCVz8Czdv9M3Jev+a7ypRWvWQ\\u002fm\\u002fjI5EO+X79Unl\\u002fQOP9pPxFcrGO6RGC\\u002fEQNEcaG1VT\\u002fuyTYw\\u002fy1JvyIL3dU\\u002fHFe\\u002fagODFAQcXj927AnEWTtfv+DMl5+YMFE\\u002fGNAIALsDNr\\u002fz6ByFWLJev5VuxqRFElk\\u002fHkzf4vRWYr\\u002fCdMpmQcNgP6DhdFl7bFG\\u002fx1wwYO1JXT9sLZD4wKtQv82KBFmZ\\u002fls\\u002fi4qlRNfdWb+vM88BwGFRPw6Ro+dnTE6\\u002fKYfZuBqkRz\\u002fpHzxjMAxPvw9Cl2CnUlI\\u002fcfoapP9mU7\\u002fOKjmLJ6RUP3HlLmM\\u002ffFq\\u002fJfnrBrB8Vz+SJkakLzJev5A4zD6Pw2Q\\u002f82UUpIYBYL9W5yaoxsFpPzBkFJNWl2C\\u002f\\u002fnC3K1qUVT+CTYRr\\u002fm5Hv9prUFjxQ1a\\u002f6gv34VvQXj9qXLE3ygxfvwhU5ovXJFE\\u002fLsQd2dR0Nb8smdIRzSJCv93f+VWOLGC\\u002fHy0vShKyUj82gl2xHPZjvzSIIiwLtlw\\u002fm6btggeTUb9W7V04+gxbP4J777Hqa0u\\u002fES4nSrjlXT8abz8imalWv5OE4bPEHFE\\u002fU+llzWB3Rb8PHatiUkg6P4OOnb9oMkS\\u002fuVG3WPWDRD\\u002f5stVylztGv496HfnwcUY\\u002faapcFuFGTr8MsH3DPkNDP\\u002fd0RQP8E1e\\u002fMjopc1aNXD+YGNUSYWFbv27VjwCG7Go\\u002fLEzTL89tWr\\u002fcVI9Ea4tgP37UTPjXcUS\\u002f5C1ia6l0VL+1JyLFO7RYP20vLpyLrGG\\u002fGIRUAwg1Tj\\u002fdY1btx1tCvytLcuQ7PGC\\u002f3SKZDHPkUj+f6xaLhdZjvxysabDrGVw\\u002fBXVZsBRyUr\\u002fk1lkn7DFbP9NeY8j8yUm\\u002fIrbZUvEoXj+1\\u002fy5DVJxWv8jHOhitRVE\\u002fvT3qPG9lRb+F9A7qq9Q6P3wHxJKIb0S\\u002ftXS63hdmRT\\u002fidqQFYaxFv\\u002fqp3zm6pkU\\u002fdxUXZh5gT78yJv1DWRRDP\\u002fbImpRvD1e\\u002fBw2x41CBXD\\u002fPActSU7pbvyCYOQXQhmo\\u002fgCpkJstsW786SlKy+VRgP1aqFKpZQ0O\\u002fChAFBzi9U78gdNUQvGFZP+eaWtJgkmG\\u002f9yXcngEBTj8smdIRzSJCvzzl5A4\\u002ftUm\\u002fqOFrCWDaXr81O3fCAN5HP7HqHBtiWWW\\u002f0I7O2qwAVj\\u002fbthAihetUvzHdtqMV8VQ\\u002f1\\u002falxnD2Rb9XL1g54+1bP8ID74lj1FG\\u002fJaa9xgruTD8jbGw9HwIxv9wKOcl\\u002fFBc\\u002f+GSu2YmWMr+dPngk\\u002f8UrP46QjrlLeS+\\u002ftg4z7UgdKz8MsOk0Iq00v+5eDeqDyCC\\u002f8C0nFiJ6TL\\u002f2RrJ917BGPyMZUf7741e\\u002fy2jac\\u002fdVaD+yILSCX9FUv5L8d5S002U\\u002fLFkES0TxJr\\u002fIhDQzQIVLv48IpZsErlc\\u002fF1wvQ4nfYr9rtWaaIrZLP3pun\\u002fwAEkq\\u002f7jl6BT79Xr+nH4lCl2NIPw8ZtheXLGW\\u002frtwvtildVT8WJO2MDJpVv2+ji5KzKFU\\u002f62XqBcvERL\\u002fIp33EKuhbP0pmpPw9wFG\\u002fn9YnWsFSTT+5skImNYcwvyapm4dzyRg\\u002fmRVzNZ4XM7+DGmkDsbUvP65FvufK3S2\\u002fM3noo\\u002fprKD+F\\u002fsh6LEY2v+aYhMbptyG\\u002f7i8FaTD4TL\\u002fjg6XIh1tGP5BVbViCNli\\u002f1b5qhz\\u002fQZz91GTfrLS9Wv+onCJ6taWU\\u002fZZ2pl9e4Jb8wwV0w4HhKvwWEjbDaOVg\\u002fPl8sHs3KYr8IBPucvnpLPzzl5A4\\u002ftUm\\u002fNx8\\u002fMArBTr8HALFk4ZVbv3H4FV+WAkA\\u002fNGe1tl3aZb9tN69OpWFPP3Syqe+Bp1i\\u002fTNb7Nr0wSD+uTveEfgRCv0PbZVbPqVU\\u002fGNsBwd85Sr9EhSORG5NDPwc\\u002fuZtpzB8\\u002fhDM\\u002fDGSSIL\\u002fQ+LA9YnYKv2fktwzRPQe\\u002fNxPPK5rl8T6ufIb4dj8Pv0KP2fBHoxo\\u002fKogoyyxAQb+eQOBTa1w2v7jz\\u002f7sNMTe\\u002fU72pYDIUVb+E5KVjuZdhP+Nh3nB7N1K\\u002fus8cHdJPaT8sm+jJ0WA6Pz+QcK2nGzG\\u002f3qoNTQy2XD\\u002f3mfI6gBxjv73GhC54pk8\\u002fNcOBLwt7T78IgFML07RbvxO9RD09qkA\\u002fpluHo86xZb9j5inmOCFOP9tTVFehB1m\\u002fxZUH+a3GSD+YehiYa4VBv0HGfsjbZVU\\u002fX\\u002fan8KfhSb968vaPrAREP8VWS2rUPCE\\u002fz+7OGBxMIL+LlOJv81IOv2DxrUK1CvC+YtWPWP5w9z5jLQtOvuYTvyAP8TX4Fxc\\u002fvLKOMRNkQb8Rf1kzHhk4vzAGg5icTji\\u002fNi9ViZVGVb86MHDxmgdhP4TuyDbA21O\\u002fgsPUK9uqaD+zT7UXCtI4P2r7Ghge2i+\\u002fuJ0Du5UGXT\\u002fO1qIdYhNjv5ghf5Opkk8\\u002fNx8\\u002fMArBTr+QpLm\\u002fGylQv53XfUkQcVS\\u002f4mMsCHJcNz\\u002fPPh4uoUlkv+4fS1Th9kY\\u002ffBTgqP+xWr+N0P5epQQmP3hhw6Ulczu\\u002ffsR9HzkKST9h2YL9ZKpDv9NCVoUOkzA\\u002fCwtG9YWNNz+TBgaC6rMpv71uZBTWPgU\\u002fkBuG0f57Ib\\u002fl3gYEvMwXP9\\u002fLD8D6+yG\\u002fuHHRoFKjMj\\u002fe3WX0PiJDv1R5Cujj2hA\\u002fUOzIrPRKUb9heZ1A8QdSv3j1k\\u002fCuRkw\\u002fhAjH4y8sVL\\u002f+QnFYY2NpP7IaUOp06kw\\u002fPgTWc77BOT\\u002fI\\u002f\\u002fmg751iP5IU7HwM9GC\\u002fLWAqjcOYVD+YOH362sNQv8d7T8LAe1S\\u002fns\\u002f4JfUJOT9\\u002fh3pwzDRkv270s9djykU\\u002fF1ZyYkDMWr922MLNoVooPzJlC1y52zu\\u002foFRWT6BlSD8M5UKWnwJDv7mRWg7YcDE\\u002foW6qIPouOD+MsDSuWlUqv8tuEvcOCQE\\u002fDK8PPD61HL\\u002fVXkIXT4cXP9S8gswLXyO\\u002fQ6q8xr5rMj87U3SP0BNDv66bEtDX\\u002fwE\\u002f8U5NFZ2kUb+ocQHvWQ9Sv3U2NJF6VEo\\u002ft8dCaVPgVb9Kb\\u002fKyXYZoP\\u002fJSNgmxAEs\\u002fNOxXhiDmOT\\u002fM8zSG9J1iPyBgaBww9WC\\u002fJ2oE4+zAVD+QpLm\\u002fGylQvzvqfV1ZwEq\\u002fSwkASfQdSL9kWOVdKeo7P9hZGleEwGC\\u002fdXcaFPcJRT+Yc5UBzkBZv5S4AqOkajO\\u002fkhfhOrzAKr8dlJI0YWknPwZGX\\u002fAXCEG\\u002fFO092fsaE7+8GxNZ7yw6P3eQER86pSO\\u002fkPq3cNG6+z4w+ISXXYcgv4ZzgiK+LA0\\u002fj3Muen0KIL\\u002f1zQHpriozP97TaVHuZjy\\u002fNiq+q9DVMz\\u002fD1\\u002fwoNvxTv8qihT7rCUu\\u002fzEdyVqBeRL9UAIfdAsNav+YH13VUy2Q\\u002fEVXK0Hj8UD\\u002fdR2KqiWdOPxrgK0Cfsmc\\u002fS9msCibpWr9WsEdht\\u002fpcPwDa+BoGXky\\u002fYHJsh0zcR79W2S5\\u002fbQs+P24WwZIPxGC\\u002fMuEN5jADRD+T+HQ6+TxZv2lWCnb4yTK\\u002f74PPtrRzLb+UNxq6m1AmP4x74P34DUC\\u002fK3Ry9V2KEL9E5ymxYJQ6PxL\\u002fk01LOyW\\u002fzhTQnFH38T7ED51N0cccv7IJ22okewo\\u002fYgeK0DF3IL\\u002fOqm5jAIEzP8\\u002f3vL1A5Du\\u002feS8cAIoKMj\\u002fgKufCs1pUv63UrksB10q\\u002fCeJSgluVRb90DAzy7jxcv3vo6Fu3xWM\\u002fZv6oEp4QTz+y5raW1dtNP9cFMZBlgmc\\u002fol5wvj3sWr915rej4W9dPzvqfV1ZwEq\\u002fzox1vI9bQL+ADZVTdtoLv4Ki+lpwiEE\\u002fUHiGhO3yVr8aQZoB5DJJP8xw1PZLylO\\u002f4THgoNkDQr+iba2Zc2QhP93ULZ5BczG\\u002fpnePDJu8Qb+qBIv1FGc0v2INKkcbvjE\\u002f\\u002fLR8AJLADr\\u002fgO8FO81j0vmfw1lC9Uxq\\u002foI\\u002fcK3Dm3r6negEmsVYav54vbT8lOiw\\u002fye7JV4fBL79IH6cdGiE6P6PMPbar8k6\\u002fpll78jCRPL8dKX5hH1Bdvxnl5iwNs2G\\u002fltOb0waKVT\\u002fcqZPHt8ZGPxrRImQqI1M\\u002fx5RkgWU9az9+sSaukHtRv7A7CBl+G2M\\u002fP0tKKnolQr\\u002fIHDyR3tn+vsuGGhP+ykI\\u002fgHwiS5kcV7\\u002fiFBfij2ZIP7Gp+IG11VO\\u002fKeFf16guQr8xtwOgKl8cPylYGJgIpDC\\u002fUpHt5I+bQL8ibnLUzzM0v+9Q8+0o3jE\\u002fFdTzD3PaE78wfJEarJf+vqgC2vAmBBi\\u002fMDFqqz9q7b6D2CQTLycZvy5CpgpjtC0\\u002fQD6IER5ELr8DiCrISZw4P9xK2qnZpk+\\u002fquUcn4EAPL9ncWiabnldvx6nif4rL2K\\u002fSpkhiF9mUz\\u002fihri4hjZDP0qZ2kKffFI\\u002fxvervHnXaj8RIfCYMWRRv80hVzw2g2M\\u002fzox1vI9bQL+GKrL39eMKv7GVlUD5wUE\\u002fW+mTXLLIRz++VGx0qF1HvwChEO9TX1A\\u002fLgshJGWcRr+m4FWG9EJCv\\u002flMKX4gpEI\\u002fwBhG2f8aPb9MgexZs\\u002fdDv1zv9vSoyTu\\u002fAp5maZ\\u002fSDz\\u002fCUXuCnVTzPrUMp5cJdAm\\u002fCzexHCF4E78kusncQIYSv8JuCXJrMRW\\u002fMEn0KSD4GD9BCk3GIVYXvwdfE7\\u002f7Uzg\\u002fwsuTKROpPr+4\\u002f\\u002f1t\\u002fPXwvq2c3C2YU2G\\u002fHy4QvkRyZL\\u002f3i6fbLnA8v1MJDY2a3zC\\u002fQ\\u002fU9P0gKTz8BgW8E2o9rPw1Uwh9ecUO\\u002fKkdA+T81Zz9VFXlPyh8bv8QjlkNDKkM\\u002fh0Iq5RMgST9XT6rzusdHv1Rm41euF1A\\u002fWG+YdnkIR798U8WkrehCv0rVkyweCUI\\u002frGs2pfr7Or95NHgS3f1CvyblglgTHzy\\u002f0wAB3Wl+Dz8ATF+KJmd8PqkKOxUoDg6\\u002f4lrl9uC0Er+NThCFLCgUv54biRloTRK\\u002fv1v3g5HLHD8i8eSF6k8Uv7nMr5ls\\u002fjY\\u002fsuhHeAvxP784bKDgFGDjvmlSBqtfPWG\\u002fkTpQys2bZL\\u002fX57twzRFCvxByK\\u002f7KRji\\u002fDNeye7DWTD+sv0gqDvJqP3u\\u002f\\u002fgUh5kK\\u002fkDDfTa3GZz+GKrL39eMKv+HcEDHKCDU\\u002fwGb0mapUUT\\u002fMF82dWkhKP3R\\u002frh\\u002f3nBy\\u002fy8Eu3jjBUz+RxddSMX8hv2pxwDVbKzi\\u002fCIMGaRnlUD8yyV758Pg1v1OoXo4W8ES\\u002f9g3P3EpzPL8+zJHgMM0bv7M9YdhKD\\u002f8+1ikaErtL8L6Qbt5vHjMRv0KZt6Xq8RW\\u002fdTIDktXVF7\\u002fQH7fYY+jlPjLeOU2MVwW\\u002f+opL1+B\\u002fMz+YJXmlUrIPv+n3Q5xAdDg\\u002fgBTk1r+GWr8Bzv3Glkxiv03GcU8Ik2K\\u002fiN80zMkDXL84a3R6PGohP1jP70LS2mY\\u002fTB+ZopRRN7+\\u002fIOuBZ79oPxZJ4coOCDI\\u002fvvnLug5aUj9BJJYsS49LP\\u002fzo4GNexh+\\u002fe0EesUCHUz9hDb9Y25Ikv03FTQdIADq\\u002f3dfPQ4LKUD8uR8EMoCQzv8je06puZkS\\u002faR7jDUYtPb+jnknx2cMbvwCvliZYces+kt3pKMXO974iv4b0qJIRv++n3q08RRe\\u002fYd\\u002fauyHjE7+Ap11iJLj6Pn5d4et\\u002fsQC\\u002ftzYmItQ7Mj993GwlQl4Uvwmw7ilPsjg\\u002fNwLjSnc5Wr93CRsOujFiv8JgCo3FQWO\\u002fCc2SA0adXb+uS+EPbJUCPxrv39G8CGY\\u002fejK+0897Nb\\u002f6pXv+zmxpP+HcEDHKCDU\\u002fe+hgbNuUPD\\u002fukYV0w7tUP4HvQQf+tUc\\u002fYAejtDXSMj9AETsazwtUPw2kU3wK3jQ\\u002ffZb9kniEIL8Q5Zid2WdXP+jXlzaDpv2+7ATbdLrDQr\\u002fqe9hODKk4vxiPZUgpZia\\u002f+LcnuMSJtD5qc05em2QIPw0AWo4vlAK\\u002f3WGqyCoXDb\\u002feOm3FQqsZv6byjFzNK\\u002fq+IERsotx3Er9KNzIZ+1orP+bqyuNfmiM\\u002fo8ehjSYKRj8eqrGc++FIv0sVkWLPT1a\\u002fqtENmy7sar\\u002fgcAxy+5Bqv9RjVpOltFW\\u002f5qFULQSQWT8wjIktwWdFv17CJ79sGmc\\u002ftb6moyHzOT\\u002f2j4IhmwdWP6L1hkQXzUg\\u002fgQnzeMf9MT9xbDEvUMJTP2ko25C87DI\\u002fu3ClvxchJL9UZbfHE4RXP1CAOufzF+0+ql4cv5nFQr\\u002fUgKyEGGs5v3VQ7ydW5SW\\u002f3NQ0i1uE6r6Dv1WTlxsFP+DzajFIHwW\\u002fJYFb3vFHD7\\u002fo9gSIsGEVv6hFGMaXsOi+9ncfy1I5Eb\\u002f0t2KSp98oPxpQb5XKtCE\\u002fu57IuzYPRj\\u002fi9UeY2FdIv899bsZ211W\\u002f64+WUbs2a7\\u002fyk7EGrhVrvzzVI\\u002fqxxle\\u002f1mSjaE6fVz\\u002fFsl4WKD5Ev2TihMr3zWc\\u002fe+hgbNuUPD+x0Gj0yCQnP5iUq97mAVI\\u002fs6P0AemNOT\\u002fe3zo4Rng2P1Nje6FRu1A\\u002fYMG4Jt1gPz\\u002fKpl1Zx94OP7499NLbtVo\\u002fwz2lIAA1Nz9+YvuKnAM8v3InL9s\\u002fpjG\\u002f3oa6wr48JL\\u002fgu2m5rH\\u002fXvqMw85nO7RM\\u002fOdMiL3HjCz+7qaqTuHf8vmU0Z17mnQS\\u002fkfI4ijm2Dr9tOJJR7RsSvy7bH6LUJQ0\\u002fEJRUJBrSLT\\u002f23YP8Qr1IP3qO+ij9jBk\\u002fwWMB3AMnNb82PR5P\\u002frxnv6AX4obgeHC\\u002fSxesVJncaL\\u002fE4Xn0sCw+v6PRt8JLCli\\u002fZ+bDczAuYD8a2yG\\u002fYUUiP2JcSxEphVM\\u002fh4k+utsvOz9R0vAQjEk1Pz1f14M1TFA\\u002f2fWxzZ2BPT9To30Mx9kDP6nW5QrQ+Fo\\u002fnvArCF1ROT9gjJwaHeQ8vzJUt7JTBTK\\u002fpHRBW6YpI78SaPcUtAnzvqZ6JBEKMhI\\u002f0thK+GzsBz+TrYVoJUIAv7LxiNpQ+fi+AkhT7+RpCb+umyvODvARv\\u002fU4mBKHrgM\\u002fOE\\u002fry9NXLD9Ph7JZ+atIP6hz55jXOhw\\u002fjUU7P7UZM7\\u002fLuv4nQ61nv2dj7XRNj3C\\u002fkIt9P18Oar9Sh2nZDxJDv76ch72ub1e\\u002fguK3OuLMYD+x0Gj0yCQnP\\u002fYLmQtrT0K\\u002fGRfC0tbzPD\\u002fEZtbKwBMnv9VBgi\\u002fMsQY\\u002fSmqRuzPZQT9vY3HkOswzPwCN9KH8jQw\\u002fTdPJsirhWT\\u002f0+8tpRjlFPz4XNK4qHC+\\u002fdhMf1dg5Jb80OP2h3mETvyCqG79D5se+u4hkLdP3GT8Hp\\u002fk0XjkeP5QKVTt\\u002fCA8\\u002fKPy7k04h2T7YSbguvEvfvomQJOXOMxe\\u002fOmb3zLZ2Br\\u002fTaGF0v60gP5opRAEABkc\\u002fJWXNG31gRD+aqkR42m9DP4NATcHPDlu\\u002f925+K0xKa7+bHXPsJu5wvxh0ayXOdme\\u002fUbNyaSUEaL9L\\u002fopYN9xAP1iSV0S9eUO\\u002fA\\u002f2S0fvVQT+edkaoKzElv16zjUGr1e0+oJ4XeR+1QD+Gfn95\\u002fIgyP++ddBxv7AU\\u002fo4mNh28wWj+\\u002fPi0Ix9ZFPz6ofKedzDC\\u002fCLBv4c+qJL\\u002f+RgdJsqoQv\\u002fC\\u002f5GVKLfG+WdTgwpQCGD+o6qcg1NYbP+opJugjDw0\\u002fCtr15Zdp9D4gpVA9tTKlvj6EN0z11Re\\u002frVKZWJv5Dr\\u002f+ct\\u002fp4TkfP956oNft3kY\\u002fDOo172V9RD9865TdWGJEP37EpQ4ef1q\\u002f5y1gQ089a7\\u002fJPB1sC4Nxvx52IcTpQWi\\u002fl24cG67AZ79GBzFosYhCP\\u002fYLmQtrT0K\\u002ffvRR7Rn9Xb+DUdQeDZJCv90CJHmCulC\\u002fehQ5xSseQb8OM+z\\u002fAiAmv3aVAqw0iyW\\u002fxU\\u002fXJ+X4Kr88KF7pLfNUPxB1ZNrCFEg\\u002f8irGZ6ReEr+RPI15qmAUv5g4CmA7GOs+KjJnNug59z6EQObAmPUWP3wUSEll\\u002fiM\\u002fWd3tvlb2ID+M+aHSYWkUP10SGaR8LQ0\\u002fvxWcskDtCb\\u002fcEv4YnWYfv42mQPRqR\\u002fm+ppkb\\u002fzMpQD9ImKB9BfxJP8gm\\u002fQHYEFM\\u002fu9TmcOvMNL+T44c3cHVcv5V7usdeT22\\u002fER11Mkz1cr\\u002flCTj689xyv84NEN+UA1m\\u002fObfSqzyIXr+hM\\u002fmtU+c9v0iGfBkMtFC\\u002fSMgvoVCNQr8eg974T9Yqv3oHIf6k5yW\\u002fmB+nx9bFK787TsZO9TVVP7uY8IgnTkg\\u002fShrO76DRFr\\u002fD+snGx6YQv4DDfvTfn\\u002fY+0Cw5Mymz2T7i4AzxCgIVP2y8IRsk0CI\\u002fi+46BLV+ID\\u002fyrgXUV00XP8\\u002fNhKDcRA8\\u002fZK5qqRAbDL8uyTJY7IAhv0dR1utrTv++VLB68InUPz\\u002f2xNxrHOpJP+3FUcFsf1M\\u002f\\u002flaqBxLAMb+rcH4ucEhcvwNxH7CROW6\\u002fQzWcOmobc7907H5glsZyv2pVgDDr3Vi\\u002ffvRR7Rn9Xb9EyTSNylRrv3p9NmxQo1+\\u002fa4WEXA9yX7+jLJiZJL5Uv05\\u002fICXcik+\\u002fxAP6R7ZwS7\\u002ftybp7KSBFvy393tUsRUg\\u002fof0XQNj6Qz\\u002fYybfrl\\u002fTmvgS\\u002fQ3Pj7vi+RCk8I4FjET+e07dETkQLP3KBfxStng0\\u002fEUJR\\u002fufgIT+8Eb3kWnMlP8YJecDywSE\\u002fNVO0RPF8ID8STRl4FAz8Po4lEX5xVSK\\u002fPpHJZjhbJr\\u002fdVEMceMMpP+ber57FrEU\\u002fn6GiZS2YVT+k9mFIxAhGP5b1++kwQyO\\u002fl4e8NeB1Xr\\u002fWqZC6gdNxv6MT8LsKnXW\\u002fpMi68vNMbr\\u002fLRXTW8JJrvyUaFopmwV2\\u002f1trBA7SsX7\\u002fMwAu2wbNVv7m5aZIeMlC\\u002fFZtdHtvZSr\\u002foZT0XLj5Fv6Borvxzkkg\\u002flhmOrGz1Qz8YBpw1rfP1vkBCHL2q5Me+HBYYE71QEj\\u002fw9EABQ7kBP+qhHSQPuAo\\u002fxR4X4rDlID8FPuiMSwMlP+FLY+GE3yI\\u002f6n9pANW3ID848chUdQb3PjuyrDuQziO\\u002f8Rqq54P2Jr8HLXJc4GEoP\\u002fud1TS3ekU\\u002f2jW0wxsAVj9Ipi1N76dHP8lQhgyzFCO\\u002fsG6Sk0GwX7+7j5iqyq9xv9vcR+dmmnW\\u002f7mHZIGy8br9EyTSNylRrv8d6Wd0dPXK\\u002fYcJXwJChab+Rtmv+Qlhmv1+142qKW1+\\u002fWgZAct2DW79nC7CkYmRYv+JbHWVFUlO\\u002fF142eBUoGT+YQLxNuGAyP1rje6X5lxC\\u002fehmLlJHCAr83cF6gojQXPwaGH+GfCBE\\u002fkDehocI++T7paQulKc4TPzw547sieCI\\u002fmYqhr+9BJD8KVl5J0S8nPzh1O5AQqB4\\u002ffNDleT3lGL8uv9ZOu2wxv2b5K5lXnhm\\u002fIxY30a5JNT\\u002fTpUkj3EpSP57nsSRsilI\\u002fPgwtbxGjUD\\u002fgYso5j3kZvyfAftrK+2S\\u002fLj7d6z2db79EfNQol7tyvwIQxeBlWXK\\u002f87lXyyK5aL8zUYtQG5pmv+mmEg+AP2C\\u002fjSJrq2yVW781fxenDsFXv1bPbfT7alO\\u002fO0Z4AL58GT\\u002fwLpcxSy8yP+r+OqLf7RC\\u002f0CDiZYxF6r6k79TIpGoWPzIstY5CZQg\\u002fLrsIC4hf9z46LSNVVWQSP4neI7U7BSI\\u002fxLd8UooMJT8EIU1saTEnP0eceqVsaR0\\u002fdkHiT+ROG79xNaMDVb0xv5TOOGFEHx2\\u002ftVlfp3\\u002fCND9DmA3kNa1SP2G\\u002fwytWTVM\\u002f+z2hrRlyUD87rlAnA8wiv8BHuEMmXGS\\u002frVFUzhDLb7\\u002fQtxRPUzlzv8d6Wd0dPXK\\u002fv3OBukIxb78VHayUlPlrv2HQxrlX4We\\u002fDeOP2ViPYb9J06WRZNBgv6wS82+wEF+\\u002froUseEhiWr8cLGgItqZBvwbt1ya9TSO\\u002fFFoaNfjaLb\\u002fQ3KLxewcbv8JPed3q6BE\\u002fvLCc34l7Ej+A2Y09rdacvmies\\u002f1xsdY+lhDHPevIET+J2jtbVP0fPxHAT7BtiCg\\u002fxq5+jkEyKT\\u002fAgtyKoUm7viFRloQhLTK\\u002fv1bUmLzeNL\\u002fRyDWooZgTv5UI3erDa0U\\u002f04aG9kgNUj\\u002fpWdvhThxaP3lRmf5aE1M\\u002fvwK7Llu1RL\\u002fdviEO9z9Yv0GjPrXAzmq\\u002f6A0\\u002fCQlsb79BOi4RPD9rv4dleY2lP2i\\u002fElx7bzInYr9Db8tBAZhgvzby5vP0I16\\u002fEK0t0IGXWr9beKhVnNhBv6Vj+fn4ZiO\\u002fwrdKqf33LL8e97zmm0kVvwCbSZbLOQ8\\u002fBhJTsHh4DD\\u002fg67s9HxvEPnDWVJzUMrw+nfErDRi6ED+t3PvZh3sgP51ZCFBWXig\\u002fCjQugeCdKD8YL5nrJPHjvklZLFP0jzK\\u002fNVvv5bTiNb\\u002fWuXSkBOQVv1PCpRv0HkY\\u002fIlp076qyUj\\u002f84cdSwbtZP8rp0Sf+plI\\u002f7Fzx3VrSQb+OL8291vtYv+8XionhEWy\\u002fv3OBukIxb78IbcyFeKVbvylcS2MCjGC\\u002f\\u002fHnVks63X7+Q8UpDq01Zv15k0uZaxVy\\u002f2j1jMp9nXb+7IRaYXVFcv4MWvzGkaFC\\u002fVgpfk2NWQr++hKxhQm49v6QE8qPXliy\\u002fjpRl3xAJ8j4+O2CmVn0SP4CQUloKzrs+9jIsesh3BL+yqKK0Ud3yvpQexCwBxAc\\u002fsrQotrNYIz8gliE9EaYtP6CvFiNKbhw\\u002fRGam1hBFKr\\u002fKrKt2A0k7v\\u002f9Fg5xNvDq\\u002fxu57ntSwFT\\u002fGSGEeybBGP6V2ZK17dVo\\u002fXai1oYA3XT+PpvEKcWVJP1gESQ7JnUE\\u002fS+V7\\u002foyyUr976fyIxzBcv7RdcDVgImC\\u002fVULOnqoyYL98s9Tk3lJav0Q3Ipdzwlu\\u002fyPhEBY9LXL9VIZlfcq9cvzLY\\u002f5POllC\\u002fc7ryT6suQr+X3At1ApQ8v19ErFsJLCq\\u002f4HEOJ4aT1D5afmyvK7MOP27yMmveVeI+78CKa4gXBr+7yveu+yr4vmYb7eVQrQg\\u002fn9c2tToNIz8YjZt4Nh0tP8wq9c1ZiBo\\u002f5qFNVho7K7+o4WDb8l88v60ILvMbTTu\\u002fsIQnbQ5hGj\\u002fD2WAiW6xHP78cjf269Vk\\u002fULk\\u002fe6IJXT\\u002fzA65UCh1MPy66TtxmDz8\\u002fpi8ozew1Vb8IbcyFeKVbvxDsnLtyNTk\\u002fgHBVUJKM+74+Pi6NpNYYv4DEfo7n5\\u002f6+E76\\u002fIHplRL\\u002fkR2CZY4VPvyD7P2xi9FW\\u002f8DBNbZNqUr9D78uNXjZLv8pYBzwAXEW\\u002fHUEqKvFcN7+mrj+rylkMv0wS3+KWoBE\\u002fqqnsR\\u002fuqAz+IgfTeDz3\\u002fvvSLxs6TqhK\\u002fDIK007xvB78vpQCYKkERP3lZehl9yio\\u002ff0AboSMKKj+uQwEz0b4Pv2UV5jpCYji\\u002fmaZX1xg4Q7\\u002fEUZ4UWbE8v43o5A1\\u002fIBY\\u002fsskJUwJnUz9YLgtxGFxdPxUihRRWp1g\\u002f\\u002fysIet5tXT8ufd9Pv1RCP8wh5gKWjzY\\u002fVKeF5zU\\u002f4L6zBcfL5PQcvzH2WK9LzxG\\u002fyIPk3SV\\u002fQb+qi38q1DVNvzaO1aolfFa\\u002fDbfoI9mgUr86yXG9J89Kv0wDWm1Ay0S\\u002fJIczGm1rNr8a+O6NRKIRvzVTozJQsg8\\u002fT+2d1+T+CD+YkVPzUXIBvxRo2S0sRhS\\u002febxv96xQB799G6sFiHQQP5re6Y\\u002f0Ryo\\u002fjRBZB4MbKT9hShhUtiQSv5o4bReZezm\\u002f3S9txBZ+Q78WLIdJ3Nc7v4tnyu1pVBs\\u002fytmzO9XaUj839Q\\u002fBmlxdP+87FeCby1k\\u002fPIKOje0nXD8+IfGbhq87PxDsnLtyNTk\\u002fEFcEWDQCWz+7TsKuqq1XP2kkSYREJFc\\u002fiizccv3KWD+p5OrbrZRPP1N9PW4ZtD8\\u002fJOtK\\u002fcMhOL9JES9J0PVJv+Ft9n9SQEu\\u002fraDPt+HESL+4P2zbeGU\\u002fv\\u002fj\\u002fCEeOBCK\\u002fgf+NP1HwDj8n6ElPsn0ZPzmWH7G1SQU\\u002fzAXJZuALD79eVot5uh0cv+JFp4do\\u002fQG\\u002f8dhIAlL8ID9LTFddcRwvPzKCIz8uBxo\\u002fieCi5\\u002fp\\u002fK79UGhnvb6FCv77crIJJekm\\u002fMKUvPFjSQb+sPzCNHBRAP9bJdqAKlFU\\u002fGeanzcMXWj\\u002fVN7twu45iPwVu7qj0UVk\\u002fk3Jj4ig7Wj\\u002fLbD54Jb5XP7WwB6QZZlc\\u002fhrpe7siQWD8sB7O\\u002fz01RPy6qHPB+7kE\\u002f7f6D7e6pOr\\u002foqvlkjVRKvxQvvROckkq\\u002fFuh\\u002ff14fSL+Fr1yhvK8+v3j4M8wHjyO\\u002fjLuU50EcDj9CZrGuMZccPxJUzM7q8QI\\u002fie8Nbk1VEb+yCaCv01Icv04K4NYB+gO\\u002fRKotf3R3ID9Wo0dPPycuP9BxBAt9gRc\\u002f13iBYVOfLb\\u002fY8bo36udCv4QYaqAVP0m\\u002f8\\u002fXsnz15Qb8+uF3ohgs+P+F7\\u002fld7tFU\\u002fWCuvY2z2Wj\\u002fcxHkHI9phP8BJIx0fc1c\\u002fEFcEWDQCWz92ExbVUKFhP6YeuvZgF2E\\u002fe+9hYfA8YT9jhdRjUzpjP1XM15gkEmE\\u002fMrhQBlkBXz9Unm4szQNOP57CJZAYJPm+F9mTm2IpQL+4M5SgSEhGv+2rMU94wUG\\u002ffKS0Y\\u002fm+LL90Drw03pEDPzjeLPmAxiQ\\u002feCk+AVX2Iz9++GZEVAb5PoQ4j1DX\\u002fBy\\u002fNEC29AOJH79gRgWlRIz1Pph9DqiHbSs\\u002f6vpq7ZrhLT8OUYpGt\\u002fzxPn5BkfSngDi\\u002fVtW0ASlYTL\\u002fWiju4wqtQv9Tu6S5wNTK\\u002fkIT8keSHQj\\u002fkCldEGAFTP8r7B0WVNGE\\u002fCkUjeeblXD8EtLVBZDJhP0y6B48aG2E\\u002fLmfGdV6RYT+\\u002fQR6NJjljP6MgkbskrmE\\u002fRnOleOHRXz\\u002fRIB574MdMP4sEkd8xAgC\\u002fgjUQBvR1Pr9FJh62bZpFvxIkE6CCe0G\\u002fqPnMgRzfLb+JIfeN4igFP8ZlVb8HYyY\\u002f9PV5w7E8Iz982k4aHH3xPgwkqegaXh2\\u002fy2PU4g5eIL\\u002fqxJN\\u002fwQbxPiIxKpwdbCo\\u002fahJffdeMLD+QG0corda\\u002fPh10Tb79Fzm\\u002fpMt7bDRQTL8CddDsEp1Qv8ixr49bCDS\\u002f1O9OetbqQj+0S+PqKZZTP1gsgXDiemA\\u002fI\\u002f9Fm7tzWz92ExbVUKFhP5lteLNM618\\u002fmjUYjvbYYD\\u002fjLJILtShhP67bGa66sWM\\u002fkv+KT9ywYz+cpEAHOjtlP0GSpxsgxV8\\u002flspqAJzcTT9xX6H+DEQiP56cZR\\u002fM+ji\\u002fBgyQ1xpJQL813VKf0kkyv6CZHSX9vtK+MJn8IgRaKT+OrUJw62UxP0eONdmdSyQ\\u002fkeGWV3lfCL84TzW\\u002fbDolv9YGVgg+1hi\\u002fHhSgEO1uHz\\u002fa57R5FpcyP+\\u002f\\u002f91jaBy8\\u002fV994iQjQEb9P1AvpUOBGvyc172W\\u002fMlS\\u002fBrsvDib4Tb+v7Rp3qGQxv0bM8ANwJD0\\u002fjCGR3bOeVz+QJ8SAuZZXP6x9jo6bAV8\\u002fu2tEgCrmYD8g+PXMUp1hP0jBEftDtWM\\u002fOXPl+iQYZD++1mJ83odlP1h3tlXMSF8\\u002ffMml6wXYTT+tZxaajq4mP3y3+5UQoze\\u002fjyAx50ANQL9wTcKwpJIyv+AZGUqja8M+ypJZgVzsKj+DnVjaaPwwPwAjUZM+YSM\\u002f0IbvRB1fCb\\u002fzIJut2\\u002fAlv54NSZqPHhq\\u002f4LatjQdQHT86gneJnukxP7ZYnyNAKS0\\u002f4BLi1nB2FL8Txb98ZwZHv59Wu+wGN1S\\u002fXGfU1j+tTr\\u002fSQiL3ppUwv5GKeyDdWz4\\u002f6+YsTXY4Vj9CcYWIgJVWP5lteLNM618\\u002f8RXcoRTYVT\\u002fW1kpDYb1YPyTV0ZNXvFk\\u002fLHZVaiAYYD+9O5ElxvJgP7nP+Y3WpWQ\\u002foIet3U7uYj+xEE8urnJaP8eQa9ydP0w\\u002fqNMl40vdGz+\\u002f6X4COXw0v0gwetLr1DK\\u002fY4IZVtlsEL8bR3YvJoYnP+6Eu2zyFjY\\u002f1Y2VyU0EMz84CpFqJCcSPyjqvRhW4CK\\u002fnWHZIo5RKL9kiOo9it7hvs4y3h44KzA\\u002fFEM\\u002fVAD+OD8zwlrKhaswP2h1xCkPoDa\\u002fFnvmwiu3Ur\\u002f++foE5TJVv2Z90wX0UU+\\u002fWt2jafG7N78e5CgwAhpEP+beBqW7wUY\\u002frEmF7sPvVD++QHTT4fZYP6WXh4HZwlo\\u002fPzK1yEkSYD9ZI4FC1iphP6SfttMK4WQ\\u002fLmeeFfDGYj+xBaU7\\u002f4RaP90STWULaE0\\u002fJACR+P51ID971n24ZwQ0v9cU0TnPzjK\\u002fnjctnt\\u002fLC7+P6+6gUAIpP8QHJOUvqTU\\u002ftvzB4bWYMj8SMFNRL44RP9i7+p9ktCO\\u002f8kFk92gNKb9uS2WkatfxvoSOlBqM\\u002fC4\\u002fllvOvh4dOD9+8uDYvtgvPwhNol++Mze\\u002fuQVSaHnEUr+a3L1ckXFVv0MHAaey\\u002fk6\\u002flsUtuSOCN786CoUGJ45BP5RDikPhl0U\\u002f8RXcoRTYVT+9NE6KkFE+P6p7WQe7IEc\\u002fUGaddj6yST8pSRigUq9TP\\u002fGPdVFSvVY\\u002fqhulNh+ZXz9cCgRML\\u002fBgP2oWePB0S14\\u002f0H\\u002fGA0c1Vz+0VbdBJ4NFP6DgaNOYNbY+AYwJehpFLL+uXt177\\u002fwev6JPmC9BFx0\\u002fWJhOw10TNj8zrE4Zc0E5P5rQWNPOzCo\\u002fnPGqujn0Eb8NHhGPatktv3V2kIne1iK\\u002fjEwZvTBzID\\u002fs\\u002frwNsn06P\\u002fWWbZqMaUA\\u002fhMEGS9qUFT9XatCoChhKv8Gs+rnHwVW\\u002fa09OV2u8Vr\\u002f\\u002fxWbdT4lQv9p1BGs9zS2\\u002fTtoqWkJXFr941V7vcuo6Px7RFAZC1kc\\u002fiAmgK5G\\u002fSz\\u002fgWdDwVYRTPxJY1G5f5lY\\u002fvhmWzyoAYD+IbC5NkN1gP0mcCLdmaF4\\u002ftf0MD0jCVz+ttjb0DhZGP9wxFsNwo+M+hgBnFKGeK7+4OISeTO0bv6JxEjph4B8\\u002f6uy9fW+qNT+wpcaWWuM4P74\\u002fXzmxdCo\\u002fX\\u002fLcGE7TE7\\u002fS0J7r4a0uv3NAYm0rACS\\u002fn1J4cJw5Hj9vUd6Zkqc5Pz\\u002fn8wIJAEA\\u002fhr4ZXv+KEj9IRDSE\\u002fjZKv1IUbVul51W\\u002fIQXlJ3SkVr8xkXE1b61Qv9OZwWAfSDO\\u002fYDdrNa65Gb+9NE6KkFE+P9go2jHABjS\\u002fk9xR\\u002fzwhIL+rGhgqlcoavy1xaA6x0Dg\\u002fdm5568oBQj+gkJaQvQFSP84knSOWgFc\\u002fBWSGT\\u002ffVWj\\u002fFs8cmkvVaP\\u002fCBPoetMVI\\u002fIJDlXtHtOD\\u002f0M9YvI18Mv6l4boXNkiK\\u002fYEVmRPpN1T6kAyUfwvcwP1T1TxNWBTs\\u002fxpiQsUZQNT+hQ387gKkJP5LPff5fYiu\\u002fuHY5hRd8ML8h3cP+c34JvyMqREMLZDM\\u002fHQQHTPK6Qz\\u002fFlsMH3yc+P1Z7U2q5azO\\u002f4nikj+gvUb\\u002f40j4h3ORXvwTxFQgoMFe\\u002fljLwapvBSb+K7XObhrRJv4GtwtCoCDe\\u002fiFteC4\\u002fHGL96NIZQIYoHv5RbfISToDc\\u002fqdyUwLv1QT8c4tE\\u002fYWZSP+jaFit2elc\\u002fce6mLD70Wj\\u002falqaDAXNbP72C7+XuclI\\u002fxv6U4xKLOT8cewKcLqkHvx66aYbz3SC\\u002fQEFYxNLE7z6SBqeFuJswP9FKt3jNtjo\\u002fQZp+d+IeNT+BrdFKio8FP9YA2mhHTiy\\u002fa9uvakcWMb\\u002f7195iJs8Ov9hRlyWwlDI\\u002fVQggVwNKQz+Ufx9auU09P5oO8VX7pTO\\u002fiFd252lCUb8o8oHmp99Xv0BgRKhcdle\\u002fbk96XeSKS7+oMaI4Fo1Jv9go2jHABjS\\u002f3DSNVn7eS797tvXBEL5IvzKrNbzOvkq\\u002fOWAqSlx6Or\\u002f+6RMg4gEuv62oMYiboS0\\u002fUupugGvYRD9qEQefiHxSP+bqIXdOP1k\\u002floLOatgvVj8ZmrjCduhHP2xB97tl5CY\\u002fGIANnmkCHL+2D9KDS88av4R1l0rHTSA\\u002fKAvwvDwbOD\\u002fFw2x6I8I6P8i0uw3pgCg\\u002fgJiDIYTtIL\\u002fb7LqKSuUzvwjGIjobIC6\\u002fB5vcNmq8FT8iQ\\u002fORm25BPw5QdTwIo0Y\\u002fio6We2XAKj+Ll3GRn51Bv+y1UeYHvFO\\u002f2HXAKhD0V78ucA4dmIxRv23n1NJl\\u002f1G\\u002fkpWG0YwfTb+\\u002fCZPSoKVHv6dMPmFHKUm\\u002fJyhq7YUZPL+JklxNCQMvv2PKuphjcDA\\u002fIbtGyvj0RD9tA3\\u002fREpZSPw76jseOqlk\\u002fQmw\\u002f7mNpVj9o11SwVUJIP5clYGcDfCg\\u002fRnKSdTlkGL8afzIsCkIYv6h6W1bqdx8\\u002fHlcaVCfdNz8EEfGqVYw6P3YXNHojaSc\\u002fMHln2eTuIb8BhLXIhIQ0vxrga6JwdS+\\u002frBCiTeiKEj8hC64fYflAP7B9WJ76MkY\\u002fzB2gxxRTKj8cwASkjqZBv7j8n4JyxFO\\u002fWy6+uPBKWL+G4nrH6j5Sv4Xc8Gkvu1G\\u002f3DSNVn7eS79gpAR00KtPv\\u002fZRkslgrFC\\u002fzVI21oQjVb\\u002fVSxlKE0NOv8Xqwp3gIUy\\u002f+KtdJExkQb+Kg0GgWbkkv0rgCavOhj8\\u002fTLX7oIJlUz8+7sHBIypWP6aws5X\\u002fk08\\u002fFqi4H++IOz8gXlOX\\u002fTfWvpbgk8xOSSa\\u002fwO+eztOt+r4ICNes8MYxPyhanMZbQz0\\u002frtf1e4hNNT8A+Q4zd6O\\u002fPo8d7dPQgzK\\u002f7f+XiJRGOL\\u002feIHXXqm4nv2n5RpftPDQ\\u002fv9V307WdRz9m6zkB7QNDPzB3SFqkWf0+MsRUIJNGRr9iz1IYHR1Uv3C7JSLg+U+\\u002flHSf2DsdUr8QiY6zwFRQvw5+pMjFFVC\\u002fheHwjQOGVL9iuMwfwDdPv37v6gTmdEy\\u002f8u3Ch3mMQL\\u002fjFQXc5Osjv1ydUSEkzj8\\u002fVtATFFS\\u002fUz9d20tU6VxWP6H2K1jo9k8\\u002fV18+WyF6PD\\u002fgJQGEQ5XiPj1TP5SZBiW\\u002f8PciRRTI\\u002fb5w4I6yjJkxP\\u002f0u2Y2ICj0\\u002fEL9bqdW7ND+AYQ0eOLLavgi5\\u002fX+CJzO\\u002f4bh0IrzzOL\\u002foSREkRggpv6sb9caaTzM\\u002fzH+R\\u002fDMwRz8RSwcH9OZCP\\u002fBCIHgC2v4+S7utQfJfRr+WBqQcv3VUvxFMX1RkhVC\\u002foJt64GfCUb9gpAR00KtPv5iD5zrQCEi\\u002fYItbOAvATL+gZwe2J+lVvz8Oabs6c1O\\u002fyxtOpXy6U7\\u002fhwM63IdFRv0Q5WPWFK0u\\u002fVg1kuIxEJr92y9vH8mBGP9m7Z2FynFI\\u002f+JuUigX1UD86xNoIlHdEPxwFAjFSUiM\\u002fVk5QFGr+Jb\\u002fodXajMfoivws3bj4fSyQ\\u002fGq4LVl0bPT+y9lzIVkw9P\\u002fZ0aVHa5yU\\u002fbDP3FZknKL+Amys3CEM8vxFuRBF9rju\\u002fLKac+6aJ4r4YldreNB9CPzjtn\\u002fEDH0g\\u002fr7FleZR0QD+AEzyvtKcVv5ZhFIvTi0e\\u002faIa97siRRr+\\u002f\\u002fISCbmNIv2+aJIkhyUi\\u002fBBCgvmCRS7\\u002fjz9m+L3lVv2auEDSV9VO\\u002fYRLXwkLhU7+nVLu5ymNRv7+BlnQG70q\\u002fVClSvIP5Jb9MXYn8vvVGP2xymyRNyVI\\u002fAGE\\u002fs3IpUT8sEhdZz\\u002ftEP6Q+BbtJLyU\\u002fD3sgAu25JL\\u002f1ySNWqiojv2qFLp6KESQ\\u002fNMKEzDjhPD\\u002fwgKChU7c8P1DMTJBswSQ\\u002f47D5ejZ2Kb9vB7i1UPQ8v+qMFSfBfjy\\u002f5PzXLm0D+L7q6xsQtLZBP0NQuLVR\\u002fEc\\u002fRIgDwZ2SQD+Y6rGbfQ8Wv6T9ByVOLUi\\u002fiCD4orJpR7+Aj8sRw6xHv5iD5zrQCEi\\u002fPIZjvtIdK79wayROfEM4vxLftloyNlG\\u002f19rFSUSNUb\\u002f3cEWa++1Uvz848eoLiFa\\u002fnVBs9eFgVb8dfjQuCtdHv4h3VshyuSI\\u002fYMiPwNgyST\\u002fks0dQkstOP2XnfkAmWUg\\u002fA37Kvw\\u002fvND9M6SzT8QcXv5078zWF\\u002fim\\u002fsNOOLAzyCT\\u002f\\u002fUB0LQNY6P\\u002f0hG3iAo0E\\u002fnTmgJhmUNj8mzbd+PvfzvoguHA3QmTm\\u002fkfgieKkxQ782wNkLwG82vxmlNNr7GC8\\u002fF2m9AU52RT9hPO3EGlZIP7Ays3X6\\u002fzw\\u002fGHa+dyaUJL\\u002f8iy5Y+eEov9Ga35uGhzK\\u002fVBpP20JeLb\\u002fk0nzr5\\u002f81v4ORaCi47VC\\u002f0GBbG\\u002fsNUr+Nu6EkmQpVv\\u002fRsY8GwHVa\\u002f57hngtBCVb\\u002fRMcZJ6dNHv0qPwbEgoiQ\\u002fjAPdneGBST\\u002f3rFRZQzdPP+1ApQha40g\\u002fN+2P\\u002fCTbNT\\u002fyiEtoHHQUv9r\\u002fdM1R+ym\\u002fWHrRNBqOCT8uTVNCmZw6P9m5sJ1hWEE\\u002frcf18A75NT+WrCL7wpL+vpPjEjB+UDq\\u002fFTV7VeScQ79o\\u002fSXBjVc3v1mCwPGXiy0\\u002f9PyLkQ1LRT\\u002f4zhN4L4ZIPzucdu9qIT0\\u002fGPIdU6q\\u002fJr+glZhP0tMrvwrJ997+UzG\\u002fPIZjvtIdK7+cpQ+WS0s4Pza\\u002fu9PZ3DM\\u002fRn8dIyzVO7\\u002f4iseFQy9Hv5Hi8ag3+FC\\u002f62K+MwzZVr+AZ4\\u002fXhlhZv3CUfOeYfFK\\u002fxZgRfHEAN79iomzFVaE1P3rN6eLPN0c\\u002fw+Yga5S3SD+IUBwvhRE\\u002fPyT4uBSqoAw\\u002fkED\\u002frSKwJr9AwloDrZD5vk+QQ3h+wDY\\u002fbFt3Yz8fQz9i5oNeop1AP0rJ23\\u002fU6Sg\\u002fbGSsAp1EML8QPfdHxZFEvzGeTmxXBES\\u002fS32KMPGlIr+MM1BqQfI3P+qYgLjMikc\\u002faKBCfxJeRz\\u002fckzVq5HM3P0aQ9Z5iITE\\u002faAlF4yKKMT8aXcobrGo3P5R2vUM4+TU\\u002fJxyTqvwnO79MBLzxKR9Iv2FQj6yZB1G\\u002fLFNJxJl2Vr+fhfvYgD1Zv8477Qd3gVK\\u002ffcVGJZY6Nr\\u002fCWwKaUCs2Pw1+mSico0c\\u002fKnYuGXxDST\\u002fXw0XcE\\u002fk\\u002fP3\\u002f+wdie8hA\\u002f3FG4R\\u002fN6Jr+obFvomVv5vngOYiYQiTY\\u002fHRWNXWDUQj++B4LVwExAP26m6YOElCc\\u002fFh86\\u002fbgBMb\\u002fn9SerTgFFv5YKRStrdUS\\u002f6XJrmq4jJL9Klb3Z94g3P\\u002f76gWcCzkc\\u002fIhUUUZqWRz\\u002fuANCASYQ2P2QcVWZ5XC8\\u002f4BckYA9qMj+cpQ+WS0s4P6b\\u002fNy9VBk0\\u002f9KGsN2MPUD+Y76QKNHUyP1wlwG6QlBq\\u002f2Z+gDZBTQ7\\u002fNNpnKftBSv1aB9W1LbFm\\u002fJy2gcWb2Vb+59i8\\u002f+yNIv3hTAfK7Khy\\u002fe0r+rsOZOT\\u002fSkdhppKJFP1I+vzte\\u002fkI\\u002fQM33f43PLT9KM6fwZt0Uv3ZTpms7JxC\\u002fsm0nBwThMD+8pb3jSpFCPyFKPYq7e0Q\\u002fTBziie3WOj+M1JDeBYn6vvZR8I5UgkG\\u002f4Ip4CFKwSL+5bssc5xZAv9C2VFHDSwW\\u002fmxZgKpkxPD9EtUwD\\u002f0pHPxBIL5u5cUM\\u002fHA7Nvn5vRT\\u002fD1Gxj2ExFP8tvhpDcpkw\\u002fHLBM8UyNUD92jHqS5NwyPwIb+v3NpiC\\u002fofvRIO1YQ7\\u002fNHSVoS3pSv9541q+PVVm\\u002fbzfgZQwAVr\\u002fUyo7aCdZHvyKzIvX4UBq\\u002fK66OOgttOj9AOt66Fy1GP4aLaWMzb0M\\u002fmvW6j08oLz\\u002foj\\u002fBWsRUUv7gG0rjDug+\\u002fUL72U1GtMD+8veJUaEdCP3XOKQInKEQ\\u002fZl4MsvEsOj9Hp8t5k2gDvygaB+8p90G\\u002f3MX+1QseSb8s9xrRPXRAvxR5zwPjHAm\\u002fvL6l2ujfPD9IRwtrwq1HPzb+6enaA0M\\u002fKZsXnMSqRD+iRCKx7ZRFP6b\\u002fNy9VBk0\\u002f6VMFpCllUz+fYfCGHmtXP9B5mTyI\\u002fE8\\u002fXUOZ6cIHQT8IyP893YHvPq53rDk+Qke\\u002f8ERTmpLlVb9k43MbZTlWvyK74936A1C\\u002fXvA2Ir+9P79sEUUO894EPwDeoM3TXz8\\u002fs1I\\u002fTVEbRD97zc+mL6A5P4f1bXQwIQw\\u002fePt0Qi76Eb++qVT3CXMiPxTGbXj3NT8\\u002fLqBnGgT5RT8xFEum1q5DP9+ouZBNhi8\\u002f8miWjyETNb9D6Leh9S1Iv92Aro5eu0e\\u002ffxVyvD0iPr9AJwhM3zjzvrjowpDE4zo\\u002fAeJ5ee\\u002fmQj\\u002fuNmpWbu5HP43pK1Xta00\\u002fXGRnDRg5Uz8ZQsy\\u002fX+NXP0f2cKU2EVA\\u002fUObbBEhJQD8QZ6ptiYLxPjUHaDEitEa\\u002fevF4RRPTVb9J7PbIQkZWv7rwZS7YzU+\\u002foBFNRp1aP78sss31jTkLP1jheVaMNkA\\u002fHfFotLmIRD+BzU9SD1A6P1bLjQ7FWg4\\u002fTPuSIQB3Eb9ceo+MiBUiP5iOYZh8pT4\\u002fvGz4v4ajRT84G9\\u002fe+1pDP3JU6vuB7C0\\u002f0y0hpbsINr8xB2q\\u002fv5dIvzfjAsByGEi\\u002fEa+2VEapPr8Am67gCULXvhoXVM699js\\u002fyLPg3gl5Qj+8hFNpJxxHP8dEE\\u002fnnlk0\\u002f6VMFpCllUz8RmizFTmJUP2TWVd96yVo\\u002ffviAyKuuVj\\u002fUshiszeZRP\\u002fOezosjxkM\\u002fetNiIv7VIr\\u002fSEhiDMxlPvx4iwVz3g1O\\u002fAh5tDEJUUb89vzF4vOJIv\\u002frOqXZ4XzO\\u002fYl9zjIj8Lj\\u002fsoUtyjnhCP2peFnY5mkA\\u002fOKCQrPb1KD+qe6OrSQ8OvwCn8Y9dEdA+qJy7KgaIND+DjAqnWXxEPyoBxWf60Ec\\u002f0IoLytR5QD8adIRfniz9vj+tP\\u002f9ynUK\\u002foKa40\\u002fjGSb8CPYy5fm5Jv7EcQjYDRkG\\u002f7LtgzJQUDb8MbaxbT4EvP165S6dvekM\\u002f3B8fOmx4Sj9TQCS7xzhUP3rV+9ljQFs\\u002f6oS8b03BVj8wY+Vt0pBRPwldEriP30M\\u002fPhSbOjEeIb8fPCI6v\\u002fpOvxPGmprXklO\\u002fTINOQfpAUb\\u002fJgeCys7pIv56\\u002faqz1njK\\u002fLCh2O0uAMD9AkVSyJ+JCP6A1ATWR80A\\u002fCsqYqouqKT\\u002fIMHtIdJ0MvwBbzNBOWbc+GDh99xH8Mz9gf8Eh3iVEP5Z5RkICf0c\\u002fFT0QDLMOQD\\u002fw2tS\\u002f26YGv4dXbMCAAkO\\u002fOzApHXMlSr+EMSx2erZJv1wT8f7XxkC\\u002fQM18y+98Ar\\u002fis4HUaaotP0JQwVWLoEI\\u002fv85Z\\u002ftKSSj8RmizFTmJUP8vk\\u002fYrCtVA\\u002fTPBfriuNWD+4cnmSCGFZPwo8bi+q4lY\\u002f8qtNJKP8UT92+QavkL87P6KjyVHkmT2\\u002fSQr3tVHETL+dzHFz1hBQv6nZSc5kyE2\\u002fCMb7jWLhQr9odQmRuuQCv3Rlmn23Jzw\\u002fOK3VH97UQT+kYCCJRW0zP9hZ7dFPVQS\\u002fHVnsmcLyIb8AOxEiDnYZP\\u002fLlH9B37j8\\u002fCoSTF1f1SD9ZS6zmc3dHP1ZYwAVESjM\\u002fQV\\u002fMDGYZMr+CseGYYbBFvwa+5zMs4k2\\u002f99GnYG0BT7+bBmcGPfBDv6xFaTixdy2\\u002flKS4Uee+Ij+mL7Ep6ORAP4YUFMy1kFA\\u002fNfisp2IFWT\\u002fWJHmrGnVZPzT7htdLkVY\\u002fS4F3TnwLUj92PCXMzl88P2YCFWhnZD2\\u002fyPSiRsDkTL8F51zCeAdQvyTQL3mjqU2\\u002f3fBYxaWHQr8YxuHyw4n2vvVpKBSZ8jw\\u002fCFeajyAvQj9BcLNWitgzP4L88P5NfwK\\u002fkwwqWck3Ir8QTw+VMV0XP2Zq9TuUQT8\\u002f1ADAg+ylSD+P4PwqNwdHP1Ukz34RPDI\\u002fPelVswjYMr+1tNnq1hFGv1kcoWaFLU6\\u002ff3GRLGJuTr\\u002fOU\\u002f0kLS5DvyKgiRnbgS+\\u002fzJYZRD62Hj8Oxi7BlPdAP8vk\\u002fYrCtVA\\u002fRZa18SbZQj+IPBTXf+ZSPwW6rIjX9FU\\u002fpro\\u002fKBADWD98MkYGwAFWPw3moV5ya00\\u002fxqkd0oapET83voRZAKk+v3gQR7LTF0m\\u002f0qJ2bmtFTr\\u002f3B6iSCk9Jv6kasuJJ+DO\\u002fin7IF5ByLT8Zj+YL3AJAP\\u002fQ4Q4lbvTY\\u002fwBry52Wi9L4+2LrYZ+Iwv6qlZVso8yG\\u002f67063R4NMj9CYKmkbsVGP2c2N8NHqks\\u002f9tRIHM9aQz8fm1ZIcPEVP+y06Y4sazi\\u002f0KyrOi3zSr\\u002fMaXDtSnhTv2R4iGVNa1G\\u002fWPKtpqW2Sb\\u002fLoC1BRkg4v1iD2VshdQS\\u002fFpIUo3meQj+U1B1QEV9TP0q351l+B1Y\\u002f4fRQZfSxVz+GrGEI3hBWP2F282Cmo00\\u002feLcFsnR3Ej8GUBlrBe8+v0Y8I5pPGUm\\u002ffdwqxnsvTr8GavkDsPxIv\\u002fH99K+JFDO\\u002fjgTVClT2Lj8Q3UAza11AP2xEKvyfNzc\\u002fNABUTAA88L74q+jcLv4wvygW5Nif8SK\\u002f6qxqiY9iMT+5syU\\u002fJXlGP8D6o3qnNEs\\u002fbU\\u002f+ajfOQj8K3g5BYi0TP8zFwax\\u002fNzm\\u002fxIQkkxpCS7\\u002fbM1kckCRTv9FLpAEXAVG\\u002fFKdfEC1JSr+6Wbjasew5vyi8w7KDlgO\\u002fRZa18SbZQj865ftQwprXvk4VhRES9EI\\u002frrMu9BByTz+g53tAzcZTP+zIrzoU81U\\u002fAqY\\u002fP2ELUz\\u002fOjKjXmQpBP9h04cA39fq+oqCgjp9uPb\\u002fCjy9T9IhKvxJXoHsGT0y\\u002fFiyEjV+IQb+g4w8C8\\u002fH3vjSuDlEFkTY\\u002fSJU2aPe6NT88JEZIkFq9vqW3ad+v5zW\\u002fHJL\\u002f9fmjNr+g2nRXG6P5Pnreq2X8hUE\\u002feSxbVYBaTD9SIg21xaVKPyV8RUnzhj0\\u002fUEoJm9jV\\u002fD7xR9J1EDNBv49I+2OTK1O\\u002fOseicDUzVr+8NvjfjalTvwVYQK\\u002fHXU+\\u002fDuINQFIARL82FmyC9WrlviX4L2+E20M\\u002fzPVU39yITz8M8VSzsXNTP2H3W+XRAlY\\u002f3DFx8IofUz+5Stwo9CRBP1gXuRR1yf++iY3G1gyaPb+s8fl\\u002fJntKv3KJRfTABEy\\u002fH3Wd53IfQb8gtOosxt3ovi\\u002f+oTRGRTc\\u002f9D52w2ZCNj95tSgaqfDJPtAWU1aX\\u002fDW\\u002fcPwhpuQaN78Aw\\u002fHSt4vuPoKjpO9PPUE\\u002faQLKJmnfSz\\u002fIiJ4ElRRKP+b1veyQ5Tw\\u002fGH\\u002fotFN07j5qee8s94ZBv8+me0kCzVK\\u002f6EL1BdDBVb8aouN6SfxTv1gSt\\u002fS6FFC\\u002fGnsaxUf5Q7865ftQwprXvuAmDcuFOUO\\u002fAMHuwPJP3j7kFTbnKmI4P4xSGx0a9Ek\\u002f+1FAaLkwUT+Mj6CB315TP9\\u002fwxsJ7xEo\\u002fBC3rxeqYOD\\u002fa1xc3teIUv\\u002fzJ\\u002fAK1PEO\\u002f6GfW8B2cS79SLMeJ\\u002fsNGv0Ojomh78jG\\u002fkNVBXm\\u002fOIT\\u002fYkQUq+7AwPwQrkrri8fA+hJTm2cvlNr8y2mJGqgxAv1YV\\u002fBinOy2\\u002f\\u002fDVLWobsMz9xu9r4XlhJP4UhNyZRYE4\\u002fE2MjCpQLST\\u002fIdKMIy7Y+P2inFLd5whK\\u002fHha7bOi\\u002fTb\\u002frFef3pkdWv2OoQc0N5le\\u002fiGSp21biVb940dfTiWZTvxHxENu0S0O\\u002f+DgMOtKWAD+cUH+EYlk4P2zUX2TWS0k\\u002fr4itKU9DUT+KE5hTMG9TP+ngJpFK30o\\u002f7dyHlMVAOD\\u002funoUUvysWv15Ap5YrNkO\\u002f3JoR0YdaS7+IPdiyoWRGv2yIYc6yRDG\\u002f6KcjCeExIz+8TelW4EMxP1DQE6SGpvY+9gnZzdLzNr\\u002fxBYD+N0NAv3Zv2QPTeC6\\u002fdHFjey9jMz8k\\u002fDCOAdhIPxjAFh6ry00\\u002fB\\u002fzxT4vDSD+3pn\\u002f1O8s9PxRh6NF7mRW\\u002fmH++hEjrTL8mBewH189Vvwe5tpZRRFi\\u002fUATEwFBIVr9mKTDo1GhTv+AmDcuFOUO\\u002fP4uma2LoUL+uY\\u002fME9d1Bv+yWOHlShSK\\u002f5ItwiPdzLj9RQ\\u002fDoEoVDP5+Je\\u002fZ31U4\\u002f24us6+2sTT+ipirJXc9FPxzEhDaQgTI\\u002fBKYKo6AMM7\\u002fuV6XdImZHv5DD+KXw70i\\u002fwMcH6irUP7\\u002fUDA3CrLwZvzpPRKl\\u002fhSE\\u002fQFKGs091Aj86SZ\\u002f0yZEzv8p8mfsl30G\\u002fW2tScxYMPL8wMWPI2lYCP2efhoYs6UI\\u002fjgu+rbbgTT85ACSl3PpPP4jzOUYSwkw\\u002fvK3XCs1bPT9sW0o4iJs8v5fODUbPR1K\\u002fYHotfUvDVr+whtHE+kJZv8wcm60ZA1m\\u002fg65j2vfpUL+MiswQzD5Bv9ACrxXGJiO\\u002fPB7xf3nsKz+YU2I2xrVDP5oSUdrE9E4\\u002f6ugHTiTGTT\\u002f38rkU4JtFP5nInNdZDDI\\u002fSY\\u002fRFz4MM7\\u002fyd3Rhyy1Hv5a58HiJmki\\u002f3VkmkIoxP7\\u002fU0I1ROAcXvzP\\u002f9YP1viI\\u002fYAOhbK+ZBT\\u002fNn18VCJkzv2C8mVnvD0K\\u002fhe3XO9qgPL8oNHep+qH8PuZFCpgKZEI\\u002fLkRJt+5JTT80ET+UKbxPP7GX1NUxQUw\\u002fboF\\u002fSk2UPD\\u002fMTnFUcb86v1iO1lxbyVG\\u002fejspUh0wV79UXFt8EK9Zv7zaF6KbDVm\\u002fP4uma2LoUL8H+2aalpdUv+gHsXd2Uku\\u002fXkOQoIdlQ7+eJzJYVZIuv1CLqfeM+AY\\u002fHl\\u002fluvIaQT9Y+D5O2zJJP8zTI8KB7kk\\u002fKKg4WqbfQj\\u002fUiTyJjIgAP9WYwHz6ZEC\\u002ffZrK\\u002fq\\u002fHR7\\u002fSB7rOQG9Ev7jiiMvAmDS\\u002foAwgIyst374OuWwejCIMP3U723bMNym\\u002faJE3fUalQL\\u002frnH\\u002fr12pCv2UBQGI8KS+\\u002fFYJ7NUNtMz8C9kYgzPdIP0Iw3JuyMlE\\u002faD7+ymF9Uz8XWJiCAP1OPxHxt3iRqSA\\u002f1NPrDIZkRL9dwALJ\\u002fsFRv84jY0e\\u002fhFa\\u002f06bszHo0W7\\u002fAbz5RB5ZUv952Ht+f8Eq\\u002fHDGneL2zQ7\\u002fiEJpmSWcwv0TmVhNR\\u002fwo\\u002fYU3aSjg8QT9s5wqaHEdJP2c3\\u002fFYqskk\\u002fwfsXxamWQj+GDOKICDMAP5sUsJdpNkC\\u002fhkVSgm18R78ujjVq6iNEv4Q5Fjyr8TO\\u002fgMARnyUjxD7iRRUHr4kPP3yAjMwOOSm\\u002fvLaVvkbPQL99xlO\\u002fAa9CvyksAmRUDDC\\u002fKmMQfDhbMj\\u002fK2dkKY2BIP8brTURNGFE\\u002fZtbt1no2Uz+9d3heGo9OPxOOvjYOzSQ\\u002fSiPzUthYQ78if2sRPkFSvygsqkwo\\u002fla\\u002fGNmOTKRIW78H+2aalpdUv\\u002fgKy7jkm1O\\u002fimL\\u002fBkIhTr8ceJmOytJHv06nlTn\\u002ftEK\\u002fBBqK5SeSO79QaYaXPrnqPn6N\\u002ftLinj0\\u002fXjoyzajrRz+rc02tq3lIP+BJwnzaUTU\\u002fWMwEZ5sjL7\\u002fu7dzg8qFDv7NiiSXL60W\\u002fqy9vGoVFP79mOt+a7fgiv5ZmEWsb+xA\\u002fcrxFdD0ODb+6AdRfybg5v\\u002fdMzCP8DUS\\u002fuCi0\\u002fRx5P7+wR+ztdXQEv1umfsPc3z8\\u002ffnigHRGnTz+hUgVILyxWP7KA\\u002fFSV2FU\\u002f4jTLKbeYRj9GVebjaBQCv6KLioMMrkC\\u002fBpcH0lKXT7\\u002fZiR72z8xXvzSOT8Wjm1O\\u002f9kheD+gETr8enzvz8kFIv75TIsYzJUO\\u002frlr14LzxOr8gwMU6jszxPkBQa9R5tj0\\u002f69CfqSamRz9Hw4l+PyZIP6Qx1+cbPTU\\u002fDJrt6E6SLr9nulley2BDv8sSmXzcpkW\\u002fJuh4g6KmPr8ZDgivmaEhv0xiupF\\u002fyxI\\u002fFBkR0mHgDL+wczMhxvw5v86WLdybSkS\\u002fNKJVxZDnP79E3ayXuC0Nv7SQUqM8sz4\\u002fftBc2798Tz+5cldYO95VP4F+QlJRnFU\\u002foNgwOq68Rz8AiiKZ4zulvjTmrV+B2UG\\u002fi06mGElZUL9m\\u002fmGefupXv\\u002fgKy7jkm1O\\u002fJL+0K4VyTb8I9VrIAeJFvwTL+W7bT0W\\u002fujE5zy1OQ78cscl2LJRHv5amjrminTy\\u002foj5nbwTUAD+5bcvQk09AP8JELObPAEk\\u002fXig1RzaiQT8GLyIP0h3+PoYBF4X4tjq\\u002fEtCaUCZuRL\\u002fuleJ6Y5hCv288DsZMKzG\\u002fJBN+LN46Dj8itMH7onIUPyTw2Z+WCC6\\u002frR8118rxQr\\u002fjtE0nvK9Fv8rahHO6izm\\u002fuvYZhFGMHD8EN8BRGqRHP6UP4kpP4VU\\u002f57HCxKVgWT\\u002fwX7OG+WxSPzo8UIezrUI\\u002f+JOANa73HT89kYXtC6Ixv7x6+NR0alC\\u002fFJo2WEB6Tb94RoYxDApGvyDI0Y9310W\\u002fThjDgHuYQ79Wp3aL\\u002fzhHvyiBgvUaVTy\\u002ftE0t1jjkAD\\u002fi7C0E4wFAP19GsKIkp0g\\u002fl6hU4+aSQT85G0m8YasAP14fq3xZSDq\\u002fuSG7ghkwRL\\u002f9\\u002fS\\u002fZ8E1CvyrCOWF8ejC\\u002fvIdJ86sEET\\u002fWGVs9oKEUP8Fegomhai6\\u002fvc3CS4slQ7802VGdSuJFvyGZWvYupDq\\u002fZlMpWAnzFz\\u002fNYo396YRHP4rUrmMpjFU\\u002fZBuEtCUfWT+eoeHs4wtTP7iUCX\\u002fH2kM\\u002fkJ\\u002fXpQ8DEz8llwjdnD00v6LMicKvj1C\\u002fJL+0K4VyTb8wfrhZtxk5v4iG+TtyjzK\\u002fRhs\\u002fRKzcML\\u002fWFXRaWkg3vxJk+usTlEe\\u002f3kHjbFzKR7+2DNtBC404vw8Nb5qbpSM\\u002fsD2dgjFVRD84cZhO5bJEP5TTmADQhTA\\u002fTkdPl2GgKL8TsvXhaI9AvyjhrNepJUO\\u002fyCk13xQTN7+Idn35sDj1Pq6K+qzDfyY\\u002f\\u002fDTm1hK0Db\\u002fB1+5J2Po+v3zcHe\\u002fkw0i\\u002fvc4s2PMvR79YuJPnpZQ1v+MrGDISwTU\\u002ffYoauYdeUj\\u002fbCgePHE9ZPzFTFBXzZ1Y\\u002fZii7Q5ijUD8Nww83H61HP\\u002fUp1485jjw\\u002fLGRSBW43Nb\\u002fTxsmCEDk5v75VX0ZEVTO\\u002fbCJLsiwOMr\\u002f6ULKF\\u002f5I3v0jY08UzNke\\u002fLOZk8l2mR7+ERWloKaE4v9\\u002fa1\\u002fvqVSI\\u002fH\\u002fv7N\\u002fr4Qz8c2wb5Up5EP5qhZWRJpDA\\u002f2MOnaqXoJ7+4TIZSyFhAv9YocAz24EK\\u002fBocH\\u002fI9eNr+Q7lRnpRH9Pn6V5NJeoiY\\u002f5O3gdDKIDr9tuY\\u002fr7U0\\u002fv845iRvN8Ui\\u002fxy7VxCG6R78ysK4DlK82v9tMz7mQmjU\\u002fr2NpjJACUj8e7ZOXoghZPwSf\\u002fYt+Elc\\u002f8KzUK6lCUT88e0+L5BlGPx+OOSUqhTk\\u002f2JX+PijcNb8wfrhZtxk5vwTGe3Vslyk\\u002fBF4pZ5aCMT\\u002fwuOptxIopP3h6sMhS0CQ\\u002fwvvQeAk8Pb\\u002fGTp3loKFIv5lW7JX2yUW\\u002fcOKOS\\u002f0DLr8dBRTgswo3PyeAKMQWVUM\\u002fgzEAGWLiOT+sAockQXT2PsB\\u002fp3jAdTa\\u002f\\u002fitv3mipQb8nyzRvPDI7v0AQ\\u002fmuUNwy\\u002f0QJuY\\u002fnRKT94SRqO5lsWP820imgG3DS\\u002f2aOViTBjSL8\\u002fAEvRncJOv8qDc+ZzM0m\\u002fDARUHLG3Jb9BBfM5nodHP4XZ\\u002fUUmW1U\\u002fcbF3b5EKVj\\u002fxDTA2vJRUP+l0XV1h0lE\\u002fTOjFhgZVUT+YKrbKbPk2PwSQYrhrVyk\\u002fKyTcaYhlMD\\u002fieiYbKeomP6id0FH9qiQ\\u002fDtKmTAqMPL8IZhssiXxIvzsSSlx43UW\\u002fp2W48v9jL7\\u002fRggenX1I2P6D49bSyOkM\\u002fQw2A0rXsOT8MfQ0q0Bn7PlBgPjWPGDa\\u002fJcCz9fVqQb8hHQi0S3s6v+yq1n4cQQi\\u002fhHpWuZD+KT9a6PhJXlwWP+L4W7EcGDW\\u002f0OEorX+MSL9gKKa870ZPv6c8UbD6t0m\\u002feokj3AnRJb8+QjtiAsRGPzxT324HEFU\\u002f4YkQoxO\\u002fVj\\u002fRpOuBDDxVP6LpS8MG8VA\\u002f+ueNYa14UD8ebfOMKFY2PwTGe3Vslyk\\u002fg29PdIKoRz9NyH7GM9BHP+0rl4dI0kY\\u002fXqWgY6qfRz8woloZaYMVP6d3\\u002fN1Gz0C\\u002foe8MmgF5SL9bbfoqG9dBv6A3fd0YLfI+gNKO8lf8Oz8ZaBbj45E8PwbadEfweSg\\u002fPQldnzKmJb9t4z10BVg9v8ByOMztgT2\\u002fBTGlyHniJL+cDS14y88iPxAF4JdckCU\\u002feZvunRc2I79Abgtvg31Evx3pjZwM8FC\\u002fG8pAvbygUr8\\u002foG2pBD9Hv4Lbw1TluSQ\\u002fnu8Ys7MqSz+x1cxUgkdRP\\u002f6Og4RdVlM\\u002fUvGd1MC6Uz80HSWHQfJVP+5LMhXTKEw\\u002flluAJPemRz9MduHdQydHPxf0ALFWFEY\\u002fLj3pLumjRz9QAadju+kXP4zp+UtspEC\\u002f\\u002ft\\u002fF65aTSL+EqupEsDFCvzBzkaK9R9s+5Bccv\\u002f+6Oz8WPB2zKIo8P3KAXkc\\u002f7ig\\u002f8FQeuoQOJb+3vven7Oc8v\\u002fvOIzylyTy\\u002fuZUph3joI7+or4mKMgUjP+1U0mL2ziU\\u002f\\u002fNCEc+x7I79iXFUZRqJEv4xj0v6XLFG\\u002fxeBWe3DcUr\\u002fHiogsUjdHvzmc9R6IiiE\\u002f2orYpxyMSj\\u002fbqSxYigRSPxBqtynRBVQ\\u002fVUT1qNHHUj91eGlwMgBVP+4t4ArD3ks\\u002fg29PdIKoRz\\u002fMLdAKUkNPP0gw2MQvxlE\\u002fIk5KMeQzUD8xkh51Li9UP4Yxllk9V0Y\\u002fyNol3QqJBb8pL7mdGWNDv49Q8nSLVUe\\u002fREZGXcS+M7847vvathwoP+RtORMVmjg\\u002ff6O\\u002fuNusMj+Ap907IVCQPtTQfO21WjW\\u002fofZueqG1Pb\\u002fmiqXG4RQyvzB\\u002fBSjbWPk+I2dRxvK6JT8AwAVWNjnYPoL6t\\u002fIwiDu\\u002f3CdWF7CJT7\\u002fE3kxksDJWvwBF1bTV4VO\\u002f\\u002f6uUNX43QL9klzY2vOkkPzlS7d0ENUA\\u002fU+BTqVgwSz\\u002fjjZynQNBOP5ayuaZhFlU\\u002fxkJoJD1uUD8PyRjALGRPPzhrWbPia1E\\u002fNPvKZhSFTz9GddYZPDBUP21LWxVJmUY\\u002feNuQ230KAr8Ur+2vXYNDv2CPH6BVske\\u002fjsmKTHBxNL+qceGr5YAnP41MC+58gzg\\u002fuBDY+\\u002fLXMj\\u002fg0j0SjbHOPn9OB0q59jS\\u002fRG\\u002fV++r8PL+IRMBEPJ0xv\\u002fBvMGYHRPs+inMdoiBBJj8A0i834xTWPjzhusuhyDu\\u002fCrZo3ibwT79ZLD8yLmVWv3v3OhFk1lO\\u002fPaGvCf8FQb\\u002folz\\u002fyuFUiP6FAshlIv0E\\u002f+6EUj8egTD\\u002fbG6jYydhMP\\u002fPFm40eFVQ\\u002fiooaIIxNUD\\u002fMLdAKUkNPP3e76P\\u002fHYEs\\u002fV2AoUQCbUT8y5kAtIuhRPyCzZZSeEVg\\u002fNbPxeJvJUz\\u002f8ZMUliBlBPzdYUi\\u002fFRCy\\u002fFjEPYs1dRr+9rttyAjlBv25aVCDTNRS\\u002f1gKfuiXMLj+D8iZ3Sg00Pyr\\u002f1cfBOiE\\u002fjqlGLE2jKL\\u002fr4Qvw6kA7v2V4BLwGaji\\u002fUb6Li+p7IL8M2RTxhl8ZPxr9WWK5Bxw\\u002f1sT2N5i\\u002fJr+RfjBmDN9Hv8UZGa1JPFa\\u002f\\u002fUh2hM\\u002fEWb+uMG0pdL1Sv69oNPY+wES\\u002fRXUv2vl7Mb9Y40LpszEpPyq8XHzHjzs\\u002fQrSp\\u002fFuISj\\u002f2K2a1S3FIP8pDf3FWuUs\\u002fkifS5as+UT+cp3CnNFlRPwGYvY8TC1g\\u002fSuAGrrroUz+YyWxfnGZBPw8BU0514Cy\\u002f1WAbwUu9Rr\\u002f+\\u002fLS4CpFBv8KTCJZkmhW\\u002fpJPUsfCILj\\u002fEuwey8yk0P0JCX6HqhiE\\u002fvvnzVr3vJ78UtDCws4g6v9U66cqf+ze\\u002fblC\\u002fq0Y2IL9u\\u002fXHRfgsbPw5OTwZHTBw\\u002fHtfdfAkuJ79qSZ48UilIv2ZEsOJrYla\\u002f98cII0CxWb8K2ZbhhSFTv0E\\u002foN4eZ0W\\u002ffmVs4diBLL8sl+k9\\u002f0gvP8zT\\u002f3ydojc\\u002f9HSwkgR2SD8K\\u002fVP9uDBIP3e76P\\u002fHYEs\\u002fXLGCbxTFMj+1Kw\\u002f+ZdxIP3Jhc7K53Eo\\u002f3y6uSctYVz+zBa3rJ\\u002fBXP7ULmHJk4lA\\u002fGLQYYb+wMj\\u002fsXe2FWqo9vyqe063Vj0O\\u002flVrUXFH3Mr+W3Nw91y4MP9hfMaXwojA\\u002fZSgJ+Se0Kz+++kzONG4Kv1YXEsyQ2zW\\u002fIkpKwrVSO7\\u002fQxrez1RIxvwBtJ4B3UOm+mYQgtIiJIj\\u002fAI1xNcqoNP54vqodw4Di\\u002fJtD7P2pAUr+ZeH9k5Hxbv5Dzzuc4G1u\\u002f44u3ys9xV79+NOxk+shSv03Mgq5kk0O\\u002fVVm1uUWnN798tt5bM2IZP32+4dSBESA\\u002fzId4+XoJND\\u002fElrZWEhxIP65yMwURaEk\\u002fCYypottGVz8fxALHgBNYP6SogmAHF1E\\u002fLwibn5ZOMj97t5n\\u002fcm8+v8Gt8Ht45kO\\u002fPjGURVtZM7\\u002f6o2SpS+cKP1C7zfcpsTA\\u002f\\u002fp9YkofaKz+WLes4INgHvxGACIUfJTW\\u002fUdJqI3jxOr9WmH2mvOowv4CrZG\\u002fsTsq+GpXW0bnYIj+g6Py2PT0MPzF97EuhJjm\\u002fNncDkPVWUr8Z6Oug02Bbv\\u002fQ5qryldFu\\u002f0O46rTfBV7\\u002fUHMvwIexRvwCjAa8Z8UG\\u002fMU4uVER4O78geOlKqHIBP8P5Z+hwlh0\\u002fXLGCbxTFMj9EpIZVUfI\\u002fv7AugDaWjQ8\\u002f7xHVzWsOMj+G6wpwIblQPzeEEPHtvVY\\u002fEnaZGZBqVT+OdpAwucRJPz\\u002ftsi0R+RO\\u002fcNpw3OtJQL9X0Ir0YQY6vzruOr0WmR+\\u002fD9LkU7sjIz\\u002fyvUVzzywuP7Q4SgQAZRE\\u002f\\u002fHJ73ZX5K78EqtwwUIo5vzpcb4x2NTa\\u002fKD2+VP9gH78w0IUns94eP3CJ895c0Cw\\u002f4AL9DgpFsr7q+jK9cZ5Fv0szwJYFs1e\\u002fbqaivHGSXr+0hAIGUetgv6p9tm0mRWC\\u002f4ySQZLC\\u002fV7\\u002fA2VXjGU9TvxBFfWjomUm\\u002fMFi7aRzERr8BMGdj6gU+v+BMhiXS+gE\\u002fmRvVl+t3LD9WgOfkcZtQP3t\\u002fx+UN7VY\\u002fstJUr8qvVT9mRa0m5IRJPzZLi0OuHBe\\u002fjm2yC3aeQL+dkk3HL286v8kTgScSKCC\\u002fJhJSX3ciIz88Do2ycTEuP1Bi6R++pBI\\u002fhEiibWqUKr8SHXGAoDk5v4pxCPZVBTa\\u002fZO6gc5ZYHL8okj1o670fP2x3WAdMiSw\\u002fgEvY0k3rpD6Ocu4xmKdFv6z9YRUrjle\\u002f1MOzkBXVXr\\u002fHlB96LQxhv5tpAIpOl1+\\u002fWfZ6SZHbVr8ztbIqzTtUv95xNQtlqUu\\u002fnGyHvL8\\u002fR79EpIZVUfI\\u002fvz4msCL2XFa\\u002frkYn5G9wR79X7weOvQJCv6l037cQgDg\\u002foScUA5g3Tz8NlI23vNVUPzEyhpYglVI\\u002fxLfe57HiNj8p3N\\u002fTJYUwv\\u002f47FY8QfTi\\u002fFsAcXCO7L7+QrnGE38rmPkJi4gcQoig\\u002fXutix3Z7Ij\\u002fmkvGkYp8Uv8bnjNgVRTO\\u002ftPpyXfVDNr\\u002fKa\\u002fUA5+govwyd5iC0XBA\\u002f\\u002faIpkHg7Mz\\u002fgv2eGt3M0PwAUOrFeVRy\\u002fMOU5wXoLTb9Wn0ml0rlav7+FJuFM8mK\\u002fwts38is7Zb80OyLBzJFhv5SQ3TKFml+\\u002fLdFq7MZlWb\\u002fLs1l6gllYv9bZTX7Gt1W\\u002fIqks8k6BSL9k\\u002fOY8EHxEvyzi1IZU5zc\\u002f1rzPNzS8Tz9YQCgvPi1VPykLHahHbFI\\u002f1utZ0DgdNj9nRs\\u002f2Rygxv2yuf9Zz7Di\\u002fTMzASFgPML9kh9FktNjkPoj8EXpmjSg\\u002fH8tNppEeIz\\u002fkXe3gyfERvyuL+BfyBjO\\u002fXFPovv0GNr\\u002fx4njvVw4nv+jcNENbWBE\\u002f0PJzLrgiMz8IUiPUxwA1P\\u002f71N0MfeRu\\u002fYuxe2DqvTL9b5cd24dNav1d\\u002ftso8BGO\\u002fXcMN\\u002fgOxZL+1nUrUPBRhv93yVxczRGC\\u002fIV4dJelpWr\\u002fcNuv577hYvz4msCL2XFa\\u002fXGMgb1tIYL\\u002ffDSRtrcpXvxSuwWHCUla\\u002fmtNHrQB1PL8yz7DwOfQwPw7ywVRSO00\\u002fDpZq8KEYVD\\u002ftoLY+bOZGPzFIK9EFAxI\\u002fmoX7gSX0Lb9ozmFPOlIyv5NV+m4gxx6\\u002f\\u002f6\\u002fMENBmGT94+7eivbQkP2NPweYbXwM\\u002fGkP4wJu2JL8mwMN3fKIxvxLHs77i9iq\\u002f0MXygN1V1T7iM3GMMNUyP82xARruPUA\\u002f8mq\\u002fSq8KOT\\u002fOmRD5ilMkv1H4ncyCbE6\\u002f3U2fKZntX78Y28kPRvJlv4qnM8jSZWS\\u002fAys3qY8zY78RN3BlA8JgvwVg5bqbkWC\\u002fPzqCkNbGX7\\u002fl6nxOcYRYv9cH1Kk64Ve\\u002feCuUpA0VPb9N27dhaWAyPzY4hoL7EU4\\u002ffl5d113nUz922QSTb4tGPzLrqkOtGw8\\u002fAABVom7mLr+RqBZmjIgyv+gNKVCHOx+\\u002fQKS5onUkGT9YUeZ+3WElP1uPy\\u002fQNWwg\\u002fGYThUT1eJL+Y5TErwFExv5zV1h5rzii\\u002f8A90Bsb84T5Wo8GOG8gyP0BOYyM4vkA\\u002fZECTnmiDOT\\u002fIXs2NiI0iv9n0gpuPJ06\\u002f1SFkRIfeX7\\u002fCKPvsi1Jlv9NDHjaa3WO\\u002fvfibCBO1Y79jtYmzTkNhvxmCFfxs1WC\\u002fXGMgb1tIYL9P7DCuFwZiv7dGDO6j4Vy\\u002fwQ50bmFzYL\\u002f9RDdjH+BSv19AyY9j00K\\u002f2KImo4HGMD9FULB2vpZQP3Bk4dTXOEw\\u002fXxfyWv11OD\\u002f6xRikOqLhvsyUBlZQcC2\\u002fitZfJMoRK798jMepfrPzvhTyoeEeQB4\\u002fOH06XH+SGj9OKeZ\\u002fFZD7vgGGEk62lyS\\u002fRhL8BNKNJr+sH4vrxk0Cvy0I4dRqIy4\\u002f7qJaTMuuQT8MbBNFVW5GPwHDBf9G6j8\\u002fyLcZH5jM2D4CL4+e9KNOvwlbOxC9UmC\\u002fEsPXlpLFYb+ZZv+GlGlivxgbz5Q3iGC\\u002fYdd0DFrPYL9LuEzzEpRhv3lFifgm512\\u002f\\u002fjG1qZpkYb\\u002f\\u002fvFrEPgBTv55LkD9p50G\\u002ffl8RhebLMj+aceGUdmBQPzjpy3vj7Es\\u002fQCPHDh3aNz\\u002fDLdA242fxvnU6IKHz5i2\\u002fjfC0AWdfK7+i+GXlQ6j0vqAYeN1osR8\\u002flhK6j0HKHD94ZJEfqqX5vmV2JlE0viO\\u002fsE\\u002fQhfcoJL8fa5FspgUBv4\\u002f\\u002f4W67JC4\\u002fn7aCjcJmQj9FsaOLw8VGP32hM0hNgUA\\u002f51fMCe9sAD9GF\\u002fZdCwJOv5V7ACSnP1+\\u002flkL9Z807Yb8atcR5rwRjv\\u002fl9g04eCWG\\u002fzOnkm1AjYb9P7DCuFwZiv16OkgEv9Fu\\u002ff1tFX1f8WL8Rxhe98rxhvwSHwv99Blq\\u002fEAAbxze5Vb9GlCYrJsNAv+s67F7mpkE\\u002fyrnfWDgsST+qy1r3qZNCPwTyfcYGtyw\\u002fDttCkDhmGb+CrQdBoLcuvwLFXffb0SC\\u002fjBlkh8Em\\u002fj5mqEY3fOgZP\\u002f0WXgygJQ4\\u002f7zBJKy+ECL91vynkiyAdvzr6RUu5Hgy\\u002f00JUgSexIz\\u002f1qjWuCy0\\u002fP24wUGhXCkk\\u002fbePa0sJPSz\\u002fhWf4FPVBJP2xHw6S6cTY\\u002fEIlu638iQ798ybJVR9lQv71\\u002fgazmVFa\\u002fz2gOtywcVb\\u002f4F7W8aXpXv+Mz9g6FBFu\\u002frYhCpn5rWr+enP4KL9Niv0TmNtxVElq\\u002fTGJHomgqVb9no7a\\u002fwho\\u002fv99tY7sHPUE\\u002fqHEhdSf2SD\\u002fAZm3NmEFCPyZZw9zicys\\u002fYs+yFH5hGr9sJScgXAwvv7ztNZfI4CC\\u002fowTtpFsKAj8CAK9EHsUbPwUmQuTx9g4\\u002fsKjtNDkCBL9Ki9Zc6hkYv7q7AUx20Au\\u002fOzYAnrvZIz8ta6Z79INAP6dCxNq7eEk\\u002fy3AYr+X8Sz+RzZDjwqlKP6ODmDvfnDg\\u002fJuRMBsRSQL84Kp6nlOdPvz0\\u002fz3nq2Ve\\u002fc28hXgIRVr9S0dh3zCBYv16OkgEv9Fu\\u002fWkyIfJaqPb+tJU89qcdAv\\u002fEfw5lSz1u\\u002feGPU1vypWL+Q\\u002fwffdHNdv0w9fgZtvFO\\u002ff1fi1YX\\u002fF7\\u002fQpLs7Lqs7P\\u002fVqiFgPJ0M\\u002fBOE46lwEOT\\u002fwqrFDeCgQPw\\u002f3sPDlnCm\\u002fPRL9cNCxKr9VlnkkZMUSv9AyqDjgoQM\\u002flqxaNQFYEj9tuBKKior3PlcCbFiqTAq\\u002fIOdbUwBJDr\\u002fda6dszOMRP2CFwM0KCDc\\u002fJNCLeqC9RT85jJUUWHNLP+0UOFq5EFI\\u002fq8XtGXKHVT\\u002f3hsbp2slMP\\u002fAwhU8DmkM\\u002fV8eF4qidLD9mDsm8jM4uP\\u002fT\\u002fhXEJY\\u002fm++hHCAl39Ob8DMn1K9LREvxOKi5luKV6\\u002fXF3syQ2TWL+w8+ttkNJcv1ZdA9qjAlO\\u002fzCFzEjOuGr+7y9JMJ3U7P6z5oKBGykI\\u002fPgLYbf1EOD\\u002fff9aWJ2MOPwqFYeNL6ym\\u002fBkLJo4WrKr9mUNly7FwRv6jJDd29kAY\\u002fGr38eCfkEj\\u002f1hjhtAX0BP\\u002fT1OZl9dwC\\u002f7P4FLFNPD78krO2y1LsSP1x2Mw\\u002fETjk\\u002f8RA8brNARj93+W\\u002fzdUNMP74MKK1k6lI\\u002fb25YqDstVj+VGHe6+ixPP+dHoAeRgEQ\\u002fUO76o8XmHD9A6Em2sxIpP\\u002fpdOhPKGQi\\u002fWkyIfJaqPb9g+Yr7zmtaPwfn+du\\u002fD1Q\\u002fGgPrZFfZPb8RYtrrtZlJv0mNzAtKM12\\u002f5miB7FzPWr9+FQbz6wtHv6ckVwzBgRu\\u002fLs82lOGeOj83wW3vi+o7P4AzR9bRLyo\\u002frBb32bmFG7\\u002f2YaY4P50tv95b7duUECS\\u002fGHJzSWLbCr8ZT9Vgx8rxPtrcp1RKWQA\\u002fpDBW6zNl57450ZT8aoUNv+ja3xS9Ysu+hK\\u002frmVabKz8VSL\\u002f5XGM+P8O05P4mrEI\\u002fI\\u002fdLavYMUD9\\u002f51JS6P9bP4yn3WwSd1w\\u002ffOAzJqwJXT88Fq8lO0JcP1YKMEZ3sWA\\u002fb8oV6sNpXj+xK61AFEZbP1nnOBGbgFE\\u002f3RFnDCCJQ78h3JwgxghJv1fqjJEejFy\\u002f9CrBvV3vWb\\u002ftF6rrRTpHvwyC3zISaBu\\u002fMIvn9F7DOT\\u002fc4JxFUg07P+nm1o9OxCk\\u002fkJYyoQ8FHL\\u002ftuV+t94ctv2rQtg\\u002fpeCO\\u002fJl1oatCeCL9g22v0J4T1PiX4YMxmHQc\\u002fFN7HeIb81j5HztRVHf8Pv7jYtG9Jos0+0piztgqFMD+3SPflg4g\\u002fP3BH2wM0l0M\\u002foyBXQHD3UD\\u002f8XMExc51cP2\\u002fIMZ95Sl0\\u002fM9mB\\u002f3HrXD\\u002f5TwpYQZNaP\\u002fhtqoRFo2A\\u002fvFETgFnJXj9g+Yr7zmtaP9YxtZ\\u002fVrW4\\u002feMxm2fbUaz\\u002f\\u002futVR1+ZYP6MrJCtmUEQ\\u002f\\u002fw5VoCPnUr9RjFx79IVav\\u002flsBagvUFK\\u002f5F4oNBFbRr+zhwsjKVMTP3JuJYjPcTU\\u002fehF\\u002fafv+MT+Y0QFK+17WPjLu+nMnMym\\u002fU6alWp0jKb+UAj1TvJcgv9xxO6c7CxK\\u002fWPRAMwdf6r6Q43cRmwDRvsauM2n+PAu\\u002f3slmFWbvDb\\u002fXVeLkm1cYP2Kz4txFGTA\\u002f\\u002fs+Rd0nTJD+J4Ins0v9AP9eour3wQVo\\u002fROGePfePXj8nlXmfMidhP2\\u002fJrlAsoGI\\u002fOhzEf90DaD9HNqfToq5pPyoyKqOQEG8\\u002fndlYuoFVaj\\u002fsqoS4sQ9XPzJP1QFpV0U\\u002f5cc0qn1NUr80xSB46ndZv9miCZjcSlK\\u002fdVi+\\u002fgo4Rr+EGNohtYEOP1wVxXV1fTQ\\u002fwOpotijXMT9AZ\\u002fpPqrjPPuDIQP3+ICm\\u002fLozTG1W4KL9Iv0lI9R8gv9RfaQoqgxC\\u002fAOBodyTntT7gL4KaqxviPpS6t8sT3A6\\u002fzX7PmHJPB79tsLTNEnciP07JINiFPzE\\u002fAz53VRSdKD+QgCEPL79CP5ts4R80vVo\\u002flM88eff2Xj8o46Tj69lgP8Bm8upm\\u002f2E\\u002f7O114+BhaD\\u002fZbQ+5d1pqP9YxtZ\\u002fVrW4\\u002fR+IQLREscj+miSwyw1pzP74+Zb\\u002fXSm8\\u002fTbdNLSvaZD8g7Yne3HYfPwWNetAfK1G\\u002fD3XA7YvlUr8\\u002f462fHNtSv3SgWAaxTzW\\u002fWmohKSZhGz+0o9wc8BcxP64hIBcc\\u002fBk\\u002flA3j7rqoHr8fwCm9n54nv5HaCGYxtiS\\u002f9N+SKIKWIr\\u002fg\\u002foAbSxsVvyrSwQu2hve+AAf1J7EEB78InUPU6a0Vv0iUESuD7vg+8Ul+R5Z2Fj\\u002fu7\\u002flSBpUxv4UiZbQXHx2\\u002f7mGp7QNvUz9o6MAarERYP0mIgsNUVlw\\u002fsitYfBNCYD9sgSr4UdhlP26dCOcUAGc\\u002f6KVxZOtZcj\\u002fGF\\u002fLHEq1yP9nDECnb9G4\\u002ff7rqTS41ZT+a69qELvgiP9qHR\\u002fFI2E+\\u002f6QlJ20K\\u002fUr+teajFl7lSv8xz2ZIMfDa\\u002fgutqCfdgFz9yo74aq\\u002f4wPx23gzwPiBk\\u002f7KqXoNe7Hr\\u002ft6GTgjWMnv3O7EfrbMiS\\u002f4ICGHPx5Ib9MDKBCgLERv7AiNjqn9+++0YdECH7wCr+A9ojn0DMQvyxSqHyCIRQ\\u002fKf48JUA1Gj\\u002fYs\\u002fHJSKMvv7pD4gsDGxG\\u002fsXJTjXO7Uz\\u002fYNBjan0BYP15IVvm2als\\u002f\\u002fMdKaArRXz\\u002f+WojaSJVmP6h\\u002fX9EK\\u002fGc\\u002fR+IQLREscj9Xk1DhnLZrP21Go5AGbW8\\u002fA+i\\u002fhvsJdT9xVo2voMRxP+PBfd4rF18\\u002fSlKoLLFoGz8mdmfU2uxGvybGNI76Pla\\u002fF4e5u8evRb\\u002fCYMxXIFQpv7CWsIrHayU\\u002f6cQRyl\\u002f8Ij8WyijLSrn7vgiDOqtkuCC\\u002fzwOVpR4hIr9dZF7e+IYlv3UAYRXvESK\\u002f2P2H7uuuCb\\u002fkuQ1xO2wAv4yy8fuhvBG\\u002fODTiPlwX6z4UH4+Q0K0EP6IRY\\u002ffnmUO\\u002flU\\u002fCBBCKSL\\u002fZ+G3IuNRFP9\\u002fkNW02xks\\u002fvozg27GJUD+dHaD\\u002fvRNVPxa\\u002fCItyu10\\u002ffLluwprRWj9ootQx9g9sP00GoArvrG4\\u002fTkuNpaNVdT+JQKy+xPJxP7897iAICF8\\u002fLhl73Hy0KD+fnDcaTWlGv7RfRH+gDla\\u002fjgWIj\\u002fVURr8\\u002fc2avD1Qrv36OBetdRiU\\u002f6piXsuagIj9eCyjWTIz9viLgRnuDnyC\\u002fn9yPtv5qIb9CcTDBKSQkv9gW89yQzSC\\u002f6zzzFM0vCb9mL+VubkwDv7687BMwVgO\\u002f9nt06YSeET8EKC5pkFEIP7l1updu10K\\u002f97+e7IVZR7\\u002fuXN4x2Q9GP7cPKnYL\\u002fUo\\u002f4sbQQbL8Tj\\u002fH9rjonPFUP3RBugCauF8\\u002f\\u002fSvkDvHvXD9Xk1DhnLZrP6SWmEsxrF8\\u002fVkA445WjWj\\u002f8Tbdx9QVyPy2NNxcx8XI\\u002fTQ+h0OrHbT8Y4qef16NbP9FzmUTszjI\\u002fQB5z9UbMU7+gqM8PZApKv031\\u002fDaPNEC\\u002fvoCbT99S8D7HtQvrVoAgP4zoPUkNQwo\\u002frkC9mnl1Db\\u002f8C41uXS8Vv5+lL0bw9SC\\u002fluCXjz2nI7+UhAmEY+kTv1CgkGQd0NS+MA03Dbgv9r7czVl5UvISP9qGSzeEfhs\\u002fqHXDygjNR79tq9A7JPVUv5+uRPtdYC8\\u002ffzJHOc9fKD+MVKEYVcIqP1AMI7CrnEA\\u002fGzxEfXmbTT8M82QpepU1P1v\\u002fdP\\u002f+LGA\\u002fhcqZ\\u002fNV4Wj90J20+brhyP5cO38tRCnM\\u002fXX42IrpQbT8QS4oqxuZcP98uJL\\u002fK4TM\\u002fFjgpU0uRU79OZi6TyrZKv4iHoKmisEC\\u002foNlzreEW7T7ED6HBVtQfP+eApdIVfAg\\u002fjBkG2YUbDb\\u002f0xM1SliMTv07Pn1BnBx+\\u002fLn5jlnwqI7+BYrsRrCMVv5B418o+SNa+eOOs\\u002fINe9D66GPuuvQYgPwamRlf+nxo\\u002fyqMVPUMhR7\\u002f+zm8EiIFUv7DdC2HQCy8\\u002ftbr+mYC5Ij\\u002fNZM8baPgiPwu8e0MfZkE\\u002fb9qmEa4TUT8wvE6iIX49P6SWmEsxrF8\\u002fo6hMzFQBRz+xmYg3VKM9v5vf7zaDQmY\\u002f2ldoUWaHZz+8XDKVgjxxP9uoe7LF8Wo\\u002fHbmkuDOdWj\\u002fV\\u002fD5QowdFvw5WtHGZikS\\u002fm1xttFBBR78oX1h90twhv3Z4KI30Lgo\\u002fr+88ySJNFz+0bDli9VDePueBqBM44eS+ukQbTUuQDr9Cp2nYwpQcvxdF8s+djBa\\u002fLCig6BQ07j4Fu8qSHwkQP6mU\\u002fGQwtSU\\u002f2RcfHowNMj9a9LdZVSlFv2pt15O6wlm\\u002fkCIUP+5i676Z966gaAoyv6CYLuLcMEG\\u002fKTdrg++8FL\\u002f6noGLlC0RP2eND44nJkS\\u002fuMgYy71GSD+vVptF25I6v3GqJk+VA2g\\u002fld\\u002fvzVh6Zz8zV2qqCLhwP1lK8\\u002f8oPms\\u002ftL8yX8asWj9ma9wqjpFEv346XSvuNUW\\u002fc8+99N+4R7\\u002fWYEL20lEiv4hyj46TzQY\\u002f28A5A6wXFj9cvaCOdgzjPoCMzLFC1Zg+d5royabbCb+SGZSjzqAdv\\u002fTebIh8nhi\\u002flH5ZVltb9z4q6\\u002fBxR6ccP2Ei+aUb6So\\u002fys+XDtEwMT\\u002fljPbXnHREv81QXOlpbFm\\u002fBLFxXtI\\u002f+b4FoBZa\\u002f9A1vx3fQICfq0K\\u002f2uGukFIU\\u002fr54KN0951IrP2tt6+NAyUC\\u002fo6hMzFQBRz+8Khv+Ia7ovvbi4Qkg0l+\\u002fxJdYCR7kVD95i2KJwAU\\u002fP1nmAC\\u002fDh2k\\u002f23FEGQV1cD9kfnD6k6hnP2En5v1w7TE\\u002fttD+dWpOHL9hfJRp8y5Jv1AnSkJ2+i6\\u002fLlAzj0B4Cb\\u002fFV\\u002fGMiMkRP8xldtm6Aw4\\u002fuPIpgHeuAT8i2eKMF\\u002ff+PiBXlSGyLAe\\u002fPABSuk\\u002fOEL\\u002fciL0HW3TnPnLIftOrcCI\\u002fKBN1ZJ+NMj+YMIh29Uw+P4U7kfQmtje\\u002f9vk+EUJ1Wr8G+idcwHztvmvDMB6Zkz2\\u002fjAZ7hzOjUL8+mBJCJDY5vzdIsaGxuz+\\u002fqhmGQ8DbU7\\u002fAYIYYVeP4Pq8ziAZIiF6\\u002fkv+taVJyWD+oQTFYqzo9P6AJXMTNE2g\\u002fD+VX0LdBcD+y3JiBAWdnP+5XmPpmgjI\\u002fJwurx4S5IL9Kiyuo5aRJv9hdMlf9zi+\\u002fHrMjZoGPDb+yDhSJd4AQP85SheVTGRA\\u002f2bUKjEP4Bz\\u002f06iDyxJsBP9N2JkG1XA2\\u002fhqRiXourEr++JxU10rP+PoBlgsgwKCk\\u002ffrhqTr4tND9CjNB8Phg9P\\u002fAGENDp8TW\\u002fBTM7Id87Wr+6apVdhRACvxzkV7Hr+0C\\u002f5XrQDe0NUb+eHVtow9M0v+IJeIfq5za\\u002fiiNOH3yJUr+8Khv+Ia7ovr6lRsjgmjG\\u002fA7EtAuQCZ79YLHLYXUJAP6OLvxFxYVm\\u002fdzqY60n+Vj+gwTSnaQ1rP0QZFoo4Jms\\u002ffkLLUtSjVT\\u002fRq\\u002fvJk1BIPzkqmtGhtEa\\u002f+xtv9hi7JL\\u002f5BRwAALwqvwsY3zA1NxE\\u002fIGSFQKMe9j7jfPVZ99MXPwo49yzcxg8\\u002fhhpFOpg+CD\\u002f0Knyb03MDvxCTC+cj7YK+pu08atjnJD+\\u002fhW7NXgs6P1jq9vu1i0M\\u002fYDbD45qP6D7u4SIHhv5WvxQLKwKeWiY\\u002fB76VeWwrM78qM0oMnhhUv\\u002fvcseWeOzW\\u002fm8W3lq83Sr+r0P2LbcRVv1DhDzlC3y6\\u002fN+x6ogZDZr82PeQRG65GP6JXJ6sr+Fm\\u002fjJ3EwIzTUz9mV5daz9BpP3pMmE1ga2o\\u002fP7zYElCOVT\\u002f\\u002fgYN0XrJHP1tRgDJJL0e\\u002fuPcqgCwDJr\\u002fQt4jMR8Arv8BuzUFsHBA\\u002fRMGskHxg\\u002fT7C1SyeF+YaP54Heman9A0\\u002f9DYvi5m8\\u002fT4piOyxfoIEv917+tWlD\\u002f0+Umx7ZI01Kz\\u002fGgQoZJZI6P9dXOPiXA0M\\u002fpvkR0Q\\u002fwBz+ywgPnAe1Wv\\u002fex9D8KPyI\\u002fUAPqdyDEN7\\u002fEtqv+WzNUvzEBG9pOmjC\\u002f3lVX1etrRr8iG6CaN8xUv76lRsjgmjG\\u002f+QYikX\\u002fIJb\\u002fIsdsDlsVovy8pMhvuAC8\\u002fprwlBaDOZr9hqbl+vUEQv8OsIPTD9F0\\u002fsY2vHE40Yz+dap\\u002fHECliPxzrT0yrKFo\\u002fMGku+pErOr\\u002fyXAaDi\\u002fEKP9rbzIHniTO\\u002fPH+YZaK3\\u002fz40Wu67c8zyviXMU5hQ7BU\\u002fdn\\u002fMhw9rGD8GN0xACkQUP7jzUDRdW\\u002fc+kz8xk047AL9Gh0Y3kswZP7yTfBNJ8D0\\u002fY5EMenIuRT85yBNbq7Q0P1iI4jrZTFC\\u002fV6it+L\\u002fTOj\\u002fSLFLNnYkkPw2woMJ401O\\u002fiA45VkPAFT\\u002fqH10k0klMvyrChxkNwFG\\u002ftp1+AtyMIb+V73aEtQZov+wuoueGHjo\\u002fnVsUS0sbZ7+OEkTw3icwv+HLl1p0Qlo\\u002fYSBRfO77YT\\u002fHD+kWzephP6k8lCZ32Fk\\u002fq7nTpbM8O78w4u6V0PkDP9WWvUhN7jO\\u002f8BqZN2+N\\u002fD5w+K1fUITiviKlazLQLRg\\u002ffHNGBvYQFT\\u002fEx7Z3tI4NP3b3Fg0Xo\\u002f0+kI81FBYryT7vtHBlDOMhPxeoKhSHdj0\\u002fasVT+ff2RD+CMxxOZis3P8k+HFDVcFC\\u002fnM+e0DAmOD\\u002f6RHEz+xMYP+joVA3ztlO\\u002fDPnPtYcZIz8GFmjM7FBJvwiWVueVEVG\\u002f+QYikX\\u002fIJb8+iX5HPAkoP21tZvPJSGe\\u002f\\u002fGRqx3qkQD\\u002f913Gsio9rv1kiMsxzBU2\\u002fbjqk7WIOOz+paUJD1BNCPw9lYxaJomQ\\u002fiGyrNQApYT9w2C021iDqvtY3a+po+z0\\u002fWDRmOpvpOL9OZFklPacSP4au+7G1CRy\\u002fXf6BsBucEz\\u002fbHOmjKFAWPyjPMhiOSRY\\u002f9Ii+Jnx0Cz9KpbAULJT2vhD1GrKvTBG\\u002fSDeVLfPsPD8AH5WBZqhDP0K\\u002fRY2gRjw\\u002fSfl68ugiQb8QVfrBNE9DP7ZUNWImO0c\\u002frL1ONRpgUL9iy6qltNRGP\\u002fpHEQ2yYUm\\u002fp3QZ71q\\u002fQb+mC\\u002fYSzEksP1sYsAHunGa\\u002fy37fXgC0RD9kxxSjXdZrv1O8Z4cpL1G\\u002fMEF9oDtHJD8CqXtIThE4P\\u002f5MSdMmJmQ\\u002fb2K4agT9YD\\u002fw7RpbDHgAv0EksBpN5zw\\u002fxkMqPV4ZOb8YD4d6EiASP9eR7BqSdBm\\u002fVNYVXv1BFD9Ec6IcJ3MQPziIGMCL\\u002fBA\\u002fG\\u002fn8p3GMET+Y09t+j9bqPmOGengoega\\u002fTsh6T87NOz+GGyssyu1DP+c0OJhTgz4\\u002fReWk2jrVQb8rta72ueRBP8JlErfGmkU\\u002f0AaCv7MuUL\\u002f6bhYcEGxIP+DmgevaOUe\\u002fmpDldXrGQL8+iX5HPAkoP0uNCGzxzkM\\u002faodtLXktY7\\u002f+UDJjhoNQP+vppF1WRmu\\u002fgWpaFPJHUr9nJ6DJnVRBv0aBrUq8RlO\\u002fqwKhtjs9Yj9ewl81ODRdPzScFyV++To\\u002fTGLMh\\u002fmQTj8EZYrm8Vo7v8wnDOgsXSw\\u002fuqMBWEtXLr9syZSUfVoZP8T3XyBW2Po+Z2flJSIMHD84HMr\\u002fyBr0PjsxNxhYQAs\\u002fuzxszs4wMr+58N0XbsY0P6RpGhQL\\u002fUA\\u002ftgcCrQCDMT9W02ukpyQWv7RjoR0foEI\\u002f0YtD560AVD9xZ8qgCAhJv5c896qPv1Y\\u002fbOmiAZ3BQr+AaTTcqF4SP4JWQ+Sv20Q\\u002f2JhBYX6eYr+EcbpULflRPyrUcQEphWu\\u002fdENKrJeGVL8CPQpciqNJv5nsmBv\\u002fXla\\u002fWSDeNE6QYT\\u002fu8nzNodFcP6Ex89+AlDk\\u002fpLtqKUXzTT8Av7kAik87v7xv1BvSJiw\\u002f\\u002fKQ8I+4lLb9+3GmT1dUXP3DWjka6K9K+Xe\\u002fDBisGGD+jDEe1knAFP0Y5P1tXVRU\\u002fPOyol3ioMb\\u002fHq8lci6EzPwEoE07T1kE\\u002fw6uXsDccMz9U8e2jcmAdvy6uZe9ffkE\\u002fHgNgeZaOUz\\u002fxbYUCsbpIv6abMXcjVFc\\u002fplphbD41Qb+EXY7MEmIYP0uNCGzxzkM\\u002f\\u002fDGTheNYTT8smNae4Qddv7U6o9SIPlo\\u002fCtpm6ynCZ7+lWghC+v9Mv6OCC0pe7ky\\u002f4f+PJiCrY7+GSJYvuVhcPzNq7srO30Q\\u002fT15CvemmSj++kNkTGstTPy+\\u002ftBulnTW\\u002fdXD6IdNDOj+544VN6X00v0plPPhWrx8\\u002fBOTGAzxCA7+L1IBJvmMgP8rmZj+SqAC\\u002fG5LLVUnwIT8Q1lzUmvg6v1F76EVzkRA\\u002fkDruT6H+Pz\\u002fXO7kK97Elv3R3S4uUqy8\\u002fed26B7SbMz90hRS1y2FZPxjUHm0Xv0S\\u002ffWrX38GgYD9xYizdKZg9v5oj2feg\\u002f0g\\u002fUCEHh55VTj8rAc2IsClcv1Rjc4fAQ1s\\u002f3bmy91n3Z79C11QbWE1Qvy7f3+fcF1K\\u002f9R3U+U0OZb9\\u002fByfODdlaP5OcQTjmE0Q\\u002fOMnu3Rv+ST+IqvAQpnpTP0VDF09iYzW\\u002fO++C10gnOj+x9Yj+Gv4zv3Zn93jm9Bs\\u002flMySeIVDEr+3vO6\\u002fsxkfPyjZy3meVde+3wuNgWzDJD8GGJF2BBc7vxLEgMIBwA0\\u002fBhj8PKBzQT8rAfzZ\\u002ftEjv7piLsgs0Sw\\u002fFmjlEGp7Mj8m3yL7hUdZP+GVC7oZuES\\u002fXe7\\u002fNq3cYD8rlbJ1CBw7v7h02rwDnkk\\u002f\\u002fDGTheNYTT\\u002fc7FkkNBdRP1oM\\u002fxpIi1S\\u002fjwJs7ym5YD84hX0PrrNiv3zgzn\\u002fcoDe\\u002fdcRMJ+TUSL+6dcLK0WZov4tcXmFS9VU\\u002fejKGCekWS7+UVId2ABxSP\\u002fd42pO3H1E\\u002fEzZzSMMbGb\\u002fcodd4d\\u002fZBP8Mt5GhqIjS\\u002f2eyzuA7zIT+O46x0bKYTv\\u002fyMtO8bLSA\\u002fKyFV94kbCr+mzN5qaRknP6xytOCwszi\\u002f6xPeJfEkMr98Ji0mcXpCPxPTsW0Zjki\\u002fmJ9AdjJCPD+nZ7UJ+Wcnv5AIOEyK1Fo\\u002fHuyqXseNRr\\u002fHZm8aRxxkPwjBxWG6Tji\\u002fNeNcR0z4VD\\u002fQbhCe4ohRP1lQ7bnA51O\\u002fq98vHyEWYT+GofRn6ttiv\\u002fQBZatrGj2\\u002f1DiIEid5Tr8IgaEXsIJpv0GEayjvjVQ\\u002folYrutrIS7+CA3ldUehRP1n6BIA53lA\\u002fD+HbCkzKF7+AB\\u002fuTuOdBP6yjrwpKuTO\\u002feTcG+3CLHj\\u002f6U8Q3BGkbv6DROrnp3CA\\u002fbCTWKAOc9774dTOW5NgoPyEWH2IcAjm\\u002fS6xsuHxSMb+VYVG6nHZEPwUBa1r9MEi\\u002fDn7IChgdPD9e2yHL0UMnv+cPsM\\u002f421o\\u002fti8wRQryRr\\u002fV2n7VUFdkPwpeNP3x9DW\\u002fEEIi0ac0VT\\u002fc7FkkNBdRP1KETW5TBFA\\u002fowUJXiJtT786xYvZ3vRiP0nF7AqA8Vy\\u002fM1iX9QFvMj+sgmudXrQ0v0vgpavYimi\\u002fjfo4WyLqUz\\u002fVqqGUtTNhv+zveeIXXlU\\u002fCTC8UTiZNj9wWj2Mclo0P3ytiCvsJUA\\u002fAOcqACw0IL9Stmmt8S0PPzjeSaPsst6+YjRNHVrm\\u002fD4aM6RDXZIFP4pIPBxqCBs\\u002fDbN5gkdEIr8IW91cs59Ev1AjOOGrAUk\\u002fMXXTP8icVb\\u002fnkI9j2E5BPzzwaQ3pxki\\u002fwkyAYozuWD9kuFzFW8ROv6AW7fZLpGU\\u002fudbchOQzQL+A8nW5GyVcP3cILpryaFA\\u002f7IG+YJWCTr9tHQCERzljP2DNeYbhH12\\u002fSRLAVydNLT+0Ewv3NE88v4B1dA8eU2m\\u002fRtaDc9jLUj\\u002f9n4zW+09hv2JcCibDZ1U\\u002fLNFbDQEpNj\\u002fh9P5za740P0o8E2d9GkA\\u002fplf9QwMmH7\\u002f1t57Tdz4DP9w5nTfRhvy+Ojjok5MiBz+GXPmKECERP0yaNGPcshw\\u002fbgnfPNmSIr8HcwT5dpdDv4JiyF7wTEs\\u002fkd5r32xSVb\\u002fp0+MQkypCP6H+ooiNX0i\\u002fUOnw2a\\u002fGWD8V\\u002fJSjm6dPv3shnl6b4mU\\u002fHI99sAUOPr9MEMbLSEZcP1KETW5TBFA\\u002fLAjeQBCPSj\\u002fcJ5jiIoVLvwIvXzNUxmI\\u002fVP2eLK78V7\\u002f2PEdH9LtLPzb8lmVtLi0\\u002f5GltA3RLZb\\u002fyK2\\u002fABzpWP\\u002fzgJFbB8me\\u002fRTryscU8WD8JS8ehsgJHv4kM+v8Nn0s\\u002f2ukslcCHGj\\u002fmD1pc8aAzPxhN\\u002fZgIHiu\\u002f4eEnde\\u002fNLz\\u002frbS5g1Ucuv28viJXTPzI\\u002fi1\\u002fi2AW1HL\\u002fPGrRiakAwP2b2vc2X902\\u002fwuEwC1tDUT+pLzqh5DNcv\\u002f7UBfauOUQ\\u002fAXO2auc7Vb8uT8S983BVP3CD615bjFW\\u002f9NR+BscoZT+GPGbN5+dHv9WWCqC7ZF8\\u002fnsIRCtlASz+A3oPb4tlKvzimr\\u002fmp92I\\u002f1Ho0rfcEWL\\u002f08Fk3iKhKPwPXl7AdFyU\\u002fV4HFa0TCZb+3\\u002fKCxgoBVP6cXlG059me\\u002fYninwGKTWD\\u002fXGd\\u002f3As5Gvzujq\\u002fF43Es\\u002fgBfqq1plGj\\u002fDlm0SRrszP5QPuGNx8y2\\u002freNNVVwGLz+KScbaeiErv6UExdfFWDM\\u002fzYJTm2JiHL\\u002fM3ThhAlswP3v5dvx7k0y\\u002fAJrcVSVkUj\\u002fWomWWE7Nbv0MCXtkg+UU\\u002fFQtXjrQDVb+zSA4OCdtUP7P2fLAyNla\\u002fJg9jbXhjZT9kNCFNR9VGv7HFvoMNZ18\\u002fLAjeQBCPSj8cBcGD0q9CPx1\\u002fhQlnLU6\\u002fUT\\u002f4Cv6bYT9Alk3YMBNZvwXGBdauWVQ\\u002fJndbBZDnRD8prXuk0jhgv1uzBsq7d1s\\u002f+YZIvmCear+s7qxdAaFbPy9Th4Tzv1y\\u002f2ALFpgG\\u002fVj\\u002fLdRqS0dhDv4S0j8GWG04\\u002fPlv8y8NjRr8dt5y6pSBGP2i2RVywFEW\\u002fhJud3mMyRD+tv3dVMlk7vwyplkBEckU\\u002f704MGX+GUb+oidR4Ny5WP5b50IReel6\\u002fiNIOPeIdST\\u002fB2hiaVD9bv8YQSS51VlI\\u002f3MGkuBghXL9ZZUzpGNljP8e827Krr1K\\u002f+UUnLRppYD\\u002fbEpHiokhDP5GlTKGdqU2\\u002f4OjT+nm7YT+qlOhLKPpYvw4Vp7+wLlQ\\u002f9Ky05jJmRD9QatvTGmpgv+pI6PFZJls\\u002fVWWE96WDar9WSQt\\u002fW0JcP0PTP4YEb1y\\u002fwAoBbCTlVj\\u002ft0OVOINdDv3EAyOEa8U0\\u002fWhsVwMcGR7+\\u002fRtq8w2JGP6SvnVohPkS\\u002fDW+QFgBpRD+lWHCPnnc7v9IA0kLVlUU\\u002fbVMf90PUUL\\u002fgSg+F0h9XP4bL\\u002fTRfxF2\\u002fXfUQJjtfSz\\u002fXQaUE+yNbv10SvkmSS1E\\u002fw8HU5b7lXL9Fpft2FQVkP+USKMZ1SFK\\u002fak9FUfpeYD8cBcGD0q9CPxC3olQNKTY\\u002fVpqpJqhGUb8+hPZ+9RxfP3ITaejjf16\\u002fMFMwCELbVj\\u002fxLdlKr9dIP9fAwzbAXlW\\u002fWse24WCeYD982uf5cNBpv20M4JLrzF8\\u002fNWjLtG7ZZL8wZHHfZjdeP+Z04iaSqFe\\u002f843qDHT7WT8WwVdznwBVvxJxcH54mFM\\u002fAnmEe7IwUr9UNPQvZvtOPyy2gigVuEe\\u002fZXCWNjeBTj8FhsBs\\u002fYxRv\\u002fKs21tRiVk\\u002fxP+gH45MXL+RIbBJM2FQP\\u002fNZ50yqO12\\u002f\\u002fJ2Z48x2UT\\u002fWvLf5W7dgv9Tuzws7XGI\\u002fNxlTprTtWL983cl1N\\u002fVePxRU713pGzc\\u002fiEj\\u002fgiQSUb8mh4eWZDxfP9CdPxtpUl6\\u002f1R638hP8Vj965gbX3XlJP5aN8IuhWFW\\u002fFw9fBdigYD+jtT7+5ZZpv4NGPtvgU2A\\u002fOWEQGLeeZL++IAt5+19eP0jWD3\\u002foqVe\\u002frNqJo9y9WT\\u002fiLPe7u09Vv0gR+1Mq3FM\\u002f3RuOQU7WUb\\u002fH1R0iu+VOPyxz+DtHzEe\\u002fbKXw2WqlTj9OZr48I\\u002f1QvzxFm2dKOFo\\u002fkPdjZmp2W78gdtf3m31RPyaKw6c8S12\\u002fdPP6zDMqUD+Hzj0ifBFhv3FwEjGWc2I\\u002ffO5w\\u002fK+zWL8HKTMGONxePxC3olQNKTY\\u002fSK8ITBbSHj8l3WqLDs5Uvzg35+7enlw\\u002fufsSEj+gY78xI0yHyFxWPy1x5oFovEA\\u002fqGtLH3\\u002fLR79ZktDdLZZiP6Il\\u002f1K3n2a\\u002fczsSZTQhYj8Kjt3WKzZov02vlgiPtmE\\u002fLjGPYcHLYb\\u002fl5vhs\\u002fFdhP3VPWQJcDl6\\u002f6bX\\u002feFP+Wj\\u002fcIIg1Kz1Yv2OgoUpht1I\\u002fBMDMy\\u002fwPTr9gGm0+CbVPP91sqY++fE6\\u002fVlqCurO4WT\\u002fakWTSnr1Wv6E9zlWL2FQ\\u002fB92Q5DURW7912g9u07FTPwW0b1t4NmK\\u002fubz7OBjcYT8K571Jrf9evx3+Q5wfJl0\\u002fjCbLSYK8ID+YSiYdWKZUvypj\\u002fyjmqVw\\u002fQAzg\\u002fcyGY7\\u002fEqL7R4K5WPxoHKxPAFEI\\u002fXit63mo6R7\\u002fO5Bpf7LRiP2X4QfQKTGa\\u002fqNGsUkueYj8\\u002f+v0Effdnv4kTcUC7xWE\\u002fSe1GuDHSYb+L3mSpfyRhP4aF\\u002fe93ZF6\\u002fgE54zVw8Wz\\u002fi\\u002fs\\u002f4cANYv4IPK9g4nlI\\u002fXWIS4\\u002fcPTr\\u002f4\\u002fmipNcRPP15vnEeXvk2\\u002fdfLuTTwuWj8tJNLOrN5Vv0bP6RdiuFU\\u002frFOzAp5JW79Y0+8Sk3BSP\\u002fSeKo5hdWK\\u002fJmR4L7niYT+jgevzTupev5Krsk+7GV0\\u002fSK8ITBbSHj\\u002f4FRL5+hEEv9m99aEZoVe\\u002fXaqhfr2+Wj\\u002f3\\u002fTrt6s9nv6yHhmxO6lM\\u002fmG6FfNoVEL\\u002f8nwxp0BA1v1l2USaylGI\\u002fMJD219U5Yr8iQwQ3wfRjP0LG+1oVf2i\\u002fv7i5fA8jYz\\u002fictuxGGRlv+WkCexyhWM\\u002f8ZwU53rIYb8RoW19C8JeP3qUoSLFYlq\\u002fcjcpKONWUj8o1fEcAcRNv6CqZ9gd5kc\\u002fpUW6dbAZRr\\u002fUsZy6jLpVP7jvSowMFU+\\u002fUtQ\\u002fZZZ5WD9iJZmjI89Vv5lRXVY20Fg\\u002fW2PWKLw\\u002fYr81YdNhMl9iP4YWJGFvHGG\\u002f4ZTG4xu1Wj+wiX5bgOwAvwcHXT9RiVe\\u002fePOdoMHEWj+w3T9gv7hnvwqf8uchUlQ\\u002foL8qu8pI6L5PcHZb+3wzv1STs8yjwGI\\u002f9BB7EPrUYb+Tw6WBhHNkP7BqDwksSmi\\u002fVJLiJP8lYz8N5R6yznRlvwxBOlPHQ2M\\u002f7Tjmd5z4Yb+wbnyMrdJeP3gafJRMUVq\\u002f0b7d0UZPUj9Jk9iypJZNv1gD9HC+0kc\\u002fQzdKlbK7Rb\\u002fRcwUa8Q5WP3gV7PA0ZE2\\u002fTMaVS3sGWT9aE69WFSZWvyqmc7sT2Fc\\u002fzV4Tuj9bYr+6hertIGBiP+\\u002f+R4\\u002f0F2G\\u002f5qNWP4W8Wj\\u002f4FRL5+hEEv+wM52GlRh+\\u002f\\u002f474fHyxWr98bILtkBxbPxDFd7N6Tmu\\u002fSM1WcpvKUT9hTX1JqPhKvxDzT9Mv4h2\\u002fF0c6sFAmYD\\u002fvLw6dhVZbvxBBwY1DrWQ\\u002fFXNOEuNOZr8dNm3UC2hjP32WLvZiBGa\\u002fCy9eGiEzYz+NmzEqB+xhv8pPET3UdF0\\u002ff7fqqP5uV7\\u002fSSS0no+5LPwe0BSkqckW\\u002fhxRB5qHrMD+6OV2sb4E1vxCIm9FM+0o\\u002fZRh1i1mtQL8KadDZzWxZP6qr7hZ2+U2\\u002fPQX5f6NxXz\\u002ftZetN4Aphv4d4100TUGQ\\u002fcOam1bgiYr8N867wbDxaPxCH8AlVfx6\\u002fsuoq0CKtWr+H0cFmDCpbP7dlePM3Omu\\u002fzs0a9mszUj8Qg+HJV21Jv56W0U8j8Be\\u002fbor3mFlUYD83WEpEJIBavxtavavMIWU\\u002fZXT0QiIsZr+8mqH3IltjP13ki\\u002fJXIGa\\u002f2710fnzuYj+HArWZXR9iv+2cYIJGQ10\\u002fzOpBicmFV7+7o8z4Ry1MP1yBASqBCkW\\u002f8iDn\\u002fyB\\u002fMD\\u002fcx9LihmY1v\\u002faPCo1piUs\\u002fDvYrqN01Pr+GcghiYLBZP5ob5U6zyk6\\u002fsWa4ynDaXj+\\u002fOPHOKQdhvz8wsnSAVmQ\\u002fKho5n10XYr8BZpKXClJaP+wM52GlRh+\\u002f6lXUHyJUH78v\\u002fDUljM5bv2MzfRCepFs\\u002fkAjXoA4abb+gZfnnTu1QP7sT8\\u002f\\u002fR6lm\\u002fSEItE\\u002fG0CL94BbXd98VWP3+k4ZAfSVO\\u002fIC4iQtarYz9J3\\u002fSklX9iv3yxQnqMfWI\\u002fFamzsi\\u002fXY7\\u002f++QIRM6dgPwRpdqsVrF6\\u002f4rpmw4ERVz9ZYlprFipPv0peDlR6uTg\\u002f4KATfVQcJr\\u002fsQCfkgOs2v0Tzuxfrjhg\\u002fd5RF+8mqHz\\u002fOiMC5\\u002fEghvy+uVA7YVFY\\u002fRX2tbBK0QL+Z+PU+p89iPwSh4chb4F2\\u002fi2q0jZnoZj+GY9Sm8sthv\\u002fiYI20s2Vk\\u002fEADFYIgJH7+5USOuZd5bvxAKNkItvVs\\u002fxAauTToGbb\\u002fU+iICW01RP0BnWU8pUlm\\u002fyGHpvo7HAL8\\u002f4ETf9hlXPyIUybQdelK\\u002fU6F4bjQOZD+BwWEnMXBivx4ZnnQsY2I\\u002fBU1K98f5Y79uT3ZNM2xgP0ACnwzXE1+\\u002fgthp+hGiVj+uJ5rEu5hPv1b\\u002fmDe0zTk\\u002fel6\\u002fJu28I7+QFbS8loQ3v4BlVVf\\u002fKxc\\u002f8pGWQ\\u002fLSIT9wKEdBr2oXv5i4MKtWZ1Y\\u002fbNo\\u002fZbSNQb\\u002fOjdiooK9iP4DhBPjWsF2\\u002fpnoTpyT6Zj9hrvUWrrJhv9qB4p3n71k\\u002f6lXUHyJUH78cRFC9fcUSvxqwwVQViVy\\u002f\\u002f94LKhfsXT8bMGFKiodtv877k+lHI1I\\u002fkD56qWnEYb+wUO40TaYAv28vIidqZ0Q\\u002fBUcUqYfHSb8qPBL3f59gPyaCjzlWzFu\\u002ftRL6ySxLYD93fbDeKAJfv7D8AVYc51g\\u002fy6iypOcHVb982lepanZJP30YEf9YqjC\\u002fFK74K1+SLr8jCSk+3vI\\u002fP6pClVqWFFC\\u002fOAzFUWskQz8CXHguthlGv\\u002fkYK0IDNCc\\u002fisDcjNdVTT92VYOKo0cpv4hZS\\u002feppGQ\\u002f0HnJZCU7Wb9FgJR1T+9pP6mKZBuBQWG\\u002fH3Fq4O0RWz\\u002f0cm5V5N8Sv3RJ5YS7qVy\\u002fw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C5wKtAugCrgLpAq8C6gKwAusCsQLsArIC7QKzAu4CtALvArUC8AK2AvECtwLyArgC8wK5AvQCugL1ArsC9gK8AvcCvQL4Ar4C+QK\\u002fAvoCwAL7AsEC\\u002fALCAv0CwwL+AsQC\\u002fwLFAgADxgIBA8cCAgPIAgMDyQIEA8oCBQPLAgYDzAIHA80CCAPOAgkDzwIKA9ACCwPRAgwD0gINA9MCDgPUAg8D1QIQA9YCEQPXAhID2AITA9kCFAPaAhUD2wIWAxcD3QIYAxkD3gIZA98CGgPgAhsD4QIcA+ICHQPjAh4D5AIfA+UCIAPmAiED5wIiA+gCIwPpAiQD6gIlA+sCJgPsAicD7QIoA+4CKQPvAioD8AIrA\\u002fECLAPyAi0D8wIuA\\u002fQCLwP1AjAD9gIxA\\u002fcCMgP4AjMD+QI0A\\u002foCNQP7AjYD\\u002fAI3A\\u002f0COAP+AjkD\\u002fwI6AwADOwMBAzwDAgM9AwMDPgMEAz8DBQNAAwYDQQMHA0IDCANDAwkDRAMKA0UDCwNGAwwDRwMNA0gDDgNJAw8DSgMQA0sDEQNMAxIDTQMTA04DFANPAxUDUAMWA1EDFwNSAxgDUwNUAxoDVQNWAxsDVgMcA1cDHQNYAx4DWQMfA1oDIANbAyEDXAMiA10DIwNeAyQDXwMlA2ADJgNhAycDYgMoA2MDKQNkAyoDZQMrA2YDLANnAy0DaAMuA2kDLwNqAzADawMxA2wDMgNtAzMDbgM0A28DNQNwAzYDcQM3A3IDOANzAzkDdAM6A3UDOwN2AzwDdwM9A3gDPgN5Az8DegNAA3sDQQN8A0IDfQNDA34DRAN\\u002fA0UDgANGA4EDRwOCA0gDgwNJA4QDSgOFA0sDhgNMA4cDTQOIA04DiQNPA4oDUAOLA1EDjANSA40DUwOOA1QDjwNVA5ADkQNXA5IDkwNYA5MDWQOUA1oDlQNbA5YDXAOXA10DmANeA5kDXwOaA2ADmwNhA5wDYgOdA2MDngNkA58DZQOgA2YDoQNnA6IDaAOjA2kDpANqA6UDawOmA2wDpwNtA6gDbgOpA28DqgNwA6sDcQOsA3IDrQNzA64DdAOvA3UDsAN2A7EDdwOyA3gDswN5A7QDegO1A3sDtgN8A7cDfQO4A34DuQN\\u002fA7oDgAO7A4EDvAOCA70DgwO+A4QDvwOFA8ADhgPBA4cDwgOIA8MDiQPEA4oDxQOLA8YDjAPHA40DyAOOA8kDjwPKA5ADywORA8wDkgPNA84DlAPPA9ADlQPQA5YD0QOXA9IDmAPTA5kD1AOaA9UDmwPWA5wD1wOdA9gDngPZA58D2gOgA9sDoQPcA6ID3QOjA94DpAPfA6UD4AOmA+EDpwPiA6gD4wOpA+QDqgPlA6sD5gOsA+cDrQPoA64D6QOvA+oDsAPrA7ED7AOyA+0DswPuA7QD7wO1A\\u002fADtgPxA7cD8gO4A\\u002fMDuQP0A7oD9QO7A\\u002fYDvAP3A70D+AO+A\\u002fkDvwP6A8AD+wPBA\\u002fwDwgP9A8MD\\u002fgPEA\\u002f8DxQMABMYDAQTHAwIEyAMDBMkDBATKAwUEywMGBMwDBwTNAwgEzgMJBM8DCgQLBNEDDAQNBNIDDQTTAw4E1AMPBNUDEATWAxEE1wMSBNgDEwTZAxQE2gMVBNsDFgTcAxcE3QMYBN4DGQTfAxoE4AMbBOEDHATiAx0E4wMeBOQDHwTlAyAE5gMhBOcDIgToAyME6QMkBOoDJQTrAyYE7AMnBO0DKATuAykE7wMqBPADKwTxAywE8gMtBPMDLgT0Ay8E9QMwBPYDMQT3AzIE+AMzBPkDNAT6AzUE+wM2BPwDNwT9AzgE\\u002fgM5BP8DOgQABDsEAQQ8BAIEPQQDBD4EBAQ\\u002fBAUEQAQGBEEEBwRCBAgEQwQJBEQECgRFBAsERgQMBEcESAQOBEkESgQPBEoEEARLBBEETAQSBE0EEwROBBQETwQVBFAEFgRRBBcEUgQYBFMEGQRUBBoEVQQbBFYEHARXBB0EWAQeBFkEHwRaBCAEWwQhBFwEIgRdBCMEXgQkBF8EJQRgBCYEYQQnBGIEKARjBCkEZAQqBGUEKwRmBCwEZwQtBGgELgRpBC8EagQwBGsEMQRsBDIEbQQzBG4ENARvBDUEcAQ2BHEENwRyBDgEcwQ5BHQEOgR1BDsEdgQ8BHcEPQR4BD4EeQQ\\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\\u002fQTDBP4E\\u002fwTFBAAFAQXGBAEFxwQCBcgEAwXJBAQFygQFBcsEBgXMBAcFzQQIBc4ECQXPBAoF0AQLBdEEDAXSBA0F0wQOBdQEDwXVBBAF1gQRBdcEEgXYBBMF2QQUBdoEFQXbBBYF3AQXBd0EGAXeBBkF3wQaBeAEGwXhBBwF4gQdBeMEHgXkBB8F5QQgBeYEIQXnBCIF6AQjBekEJAXqBCUF6wQmBewEJwXtBCgF7gQpBe8EKgXwBCsF8QQsBfIELQXzBC4F9AQvBfUEMAX2BDEF9wQyBfgEMwX5BDQF+gQ1BfsENgX8BDcF\\u002fQQ4Bf4EOQX\\u002fBDoFAAU7BTwFAgU9BT4FAwU+BQQFPwUFBUAFBgVBBQcFQgUIBUMFCQVEBQoFRQULBUYFDAVHBQ0FSAUOBUkFDwVKBRAFSwURBUwFEgVNBRMFTgUUBU8FFQVQBRYFUQUXBVIFGAVTBRkFVAUaBVUFGwVWBRwFVwUdBVgFHgVZBR8FWgUgBVsFIQVcBSIFXQUjBV4FJAVfBSUFYAUmBWEFJwViBSgFYwUpBWQFKgVlBSsFZgUsBWcFLQVoBS4FaQUvBWoFMAVrBTEFbAUyBW0FMwVuBTQFbwU1BXAFNgVxBTcFcgU4BXMFOQV0BToFdQU7BXYFPAV3BT0FeAV5BT8FegV7BUAFewVBBXwFQgV9BUMFfgVEBX8FRQWABUYFgQVHBYIFSAWDBUkFhAVKBYUFSwWGBUwFhwVNBYgFTgWJBU8FigVQBYsFUQWMBVIFjQVTBY4FVAWPBVUFkAVWBZEFVwWSBVgFkwVZBZQFWgWVBVsFlgVcBZcFXQWYBV4FmQVfBZoFYAWbBWEFnAViBZ0FYwWeBWQFnwVlBaAFZgWhBWcFogVoBaMFaQWkBWoFpQVrBaYFbAWnBW0FqAVuBakFbwWqBXAFqwVxBawFcgWtBXMFrgV0Ba8FdQWwBXYFsQV3BbIFeAWzBXkFtAV6BbUFtgV8BbcFuAV9BbgFfgW5BX8FugWABbsFgQW8BYIFvQWDBb4FhAW\\u002fBYUFwAWGBcEFhwXCBYgFwwWJBcQFigXFBYsFxgWMBccFjQXIBY4FyQWPBcoFkAXLBZEFzAWSBc0FkwXOBZQFzwWVBdAFlgXRBZcF0gWYBdMFmQXUBZoF1QWbBdYFnAXXBZ0F2AWeBdkFnwXaBaAF2wWhBdwFogXdBaMF3gWkBd8FpQXgBaYF4QWnBeIFqAXjBakF5AWqBeUFqwXmBawF5wWtBegFrgXpBa8F6gWwBesFsQXsBbIF7QWzBe4FtAXvBbUF8AW2BfEFtwXyBfMFuQX0BfUFugX1BbsF9gW8BfcFvQX4Bb4F+QW\\u002fBfoFwAX7BcEF\\u002fAXCBf0FwwX+BcQF\\u002fwXFBQAGxgUBBscFAgbIBQMGyQUEBsoFBQbLBQYGzAUHBs0FCAbOBQkGzwUKBtAFCwbRBQwG0gUNBtMFDgbUBQ8G1QUQBtYFEQbXBRIG2AUTBtkFFAbaBRUG2wUWBtwFFwbdBRgG3gUZBt8FGgbgBRsG4QUcBuIFHQbjBR4G5AUfBuUFIAbmBSEG5wUiBugFIwbpBSQG6gUlBusFJgbsBScG7QUoBu4FKQbvBSoG8AUrBvEFLAbyBS0G8wUuBvQFLwYwBvYFMQYyBvcFMgb4BTMG+QU0BvoFNQb7BTYG\\u002fAU3Bv0FOAb+BTkG\\u002fwU6BgAGOwYBBjwGAgY9BgMGPgYEBj8GBQZABgYGQQYHBkIGCAZDBgkGRAYKBkUGCwZGBgwGRwYNBkgGDgZJBg8GSgYQBksGEQZMBhIGTQYTBk4GFAZPBhUGUAYWBlEGFwZSBhgGUwYZBlQGGgZVBhsGVgYcBlcGHQZYBh4GWQYfBloGIAZbBiEGXAYiBl0GIwZeBiQGXwYlBmAGJgZhBicGYgYoBmMGKQZkBioGZQYrBmYGLAZnBi0GaAYuBmkGLwZqBjAGawYxBmwGbQYzBm4GbwY0Bm8GNQZwBjYGcQY3BnIGOAZzBjkGdAY6BnUGOwZ2BjwGdwY9BngGPgZ5Bj8GegZABnsGQQZ8BkIGfQZDBn4GRAZ\\u002fBkUGgAZGBoEGRwaCBkgGgwZJBoQGSgaFBksGhgZMBocGTQaIBk4GiQZPBooGUAaLBlEGjAZSBo0GUwaOBlQGjwZVBpAGVgaRBlcGkgZYBpMGWQaUBloGlQZbBpYGXAaXBl0GmAZeBpkGXwaaBmAGmwZhBpwGYgadBmMGngZkBp8GZQagBmYGoQZnBqIGaAajBmkGpAZqBqUGawamBmwGpwZtBqgGbgapBqoGcAarBqwGcQasBnIGrQZzBq4GdAavBnUGsAZ2BrEGdwayBngGswZ5BrQGega1BnsGtgZ8BrcGfQa4Bn4GuQZ\\u002fBroGgAa7BoEGvAaCBr0Ggwa+BoQGvwaFBsAGhgbBBocGwgaIBsMGiQbEBooGxQaLBsYGjAbHBo0GyAaOBskGjwbKBpAGywaRBswGkgbNBpMGzgaUBs8GlQbQBpYG0QaXBtIGmAbTBpkG1AaaBtUGmwbWBpwG1wadBtgGngbZBp8G2gagBtsGoQbcBqIG3QajBt4GpAbfBqUG4AamBuEGpwbiBqgG4wapBuQGqgblBqsG5gbnBq0G6AbpBq4G6QavBuoGsAbrBrEG7AayBu0GswbuBrQG7wa1BvAGtgbxBrcG8ga4BvMGuQb0BroG9Qa7BvYGvAb3Br0G+Aa+BvkGvwb6BsAG+wbBBvwGwgb9BsMG\\u002fgbEBv8GxQYAB8YGAQfHBgIHyAYDB8kGBAfKBgUHywYGB8wGBwfNBggHzgYJB88GCgfQBgsH0QYMB9IGDQfTBg4H1AYPB9UGEAfWBhEH1wYSB9gGEwfZBhQH2gYVB9sGFgfcBhcH3QYYB94GGQffBhoH4AYbB+EGHAfiBh0H4wYeB+QGHwflBiAH5gYhB+cGIgfoBiMHJAfqBiUHJgfrBiYH7AYnB+0GKAfuBikH7wYqB\\u002fAGKwfxBiwH8gYtB\\u002fMGLgf0Bi8H9QYwB\\u002fYGMQf3BjIH+AYzB\\u002fkGNAf6BjUH+wY2B\\u002fwGNwf9BjgH\\u002fgY5B\\u002f8GOgcABzsHAQc8BwIHPQcDBz4HBAc\\u002fBwUHQAcGB0EHBwdCBwgHQwcJB0QHCgdFBwsHRgcMB0cHDQdIBw4HSQcPB0oHEAdLBxEHTAcSB00HEwdOBxQHTwcVB1AHFgdRBxcHUgcYB1MHGQdUBxoHVQcbB1YHHAdXBx0HWAceB1kHHwdaByAHWwchB1wHIgddByMHXgckB18HJQdgB2EHJwdiB2MHKAdjBykHZAcqB2UHKwdmBywHZwctB2gHLgdpBy8HagcwB2sHMQdsBzIHbQczB24HNAdvBzUHcAc2B3EHNwdyBzgHcwc5B3QHOgd1BzsHdgc8B3cHPQd4Bz4HeQc\\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\\u002fIHuAfzB7kH9Ae6B\\u002fUHuwf2B7wH9we9B\\u002fgHvgf5B78H+gfAB\\u002fsHwQf8B8IH\\u002fQfDB\\u002f4HxAf\\u002fB8UHAAjGBwEIxwcCCMgHAwjJBwQIygcFCMsHBgjMBwcIzQcICM4HCQjPBwoI0AcLCNEHDAjSBw0I0wcOCNQHDwjVBxAI1gcRCNcHEgjYBxMI2QcUCNoHFQjbBxYI3AcXCBgI3gcZCBoI3wcaCOAHGwjhBxwI4gcdCOMHHgjkBx8I5QcgCOYHIQjnByII6AcjCOkHJAjqByUI6wcmCOwHJwjtBygI7gcpCO8HKgjwBysI8QcsCPIHLQjzBy4I9AcvCPUHMAj2BzEI9wcyCPgHMwj5BzQI+gc1CPsHNgj8BzcI\\u002fQc4CP4HOQj\\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\\u002fCIUIwAiGCMEIhwjCCIgIwwiJCMQIigjFCIsIxgiMCMcIjQjICI4IyQiPCMoIkAjLCJEIzAiSCM0IkwjOCM8IlQjQCNEIlgjRCJcI0giYCNMImQjUCJoI1QibCNYInAjXCJ0I2AieCNkInwjaCKAI2wihCNwIogjdCKMI3gikCN8IpQjgCKYI4QinCOIIqAjjCKkI5AiqCOUIqwjmCKwI5witCOgIrgjpCK8I6giwCOsIsQjsCLII7QizCO4ItAjvCLUI8Ai2CPEItwjyCLgI8wi5CPQIugj1CLsI9gi8CPcIvQj4CL4I+Qi\\u002fCPoIwAj7CMEI\\u002fAjCCP0Iwwj+CMQI\\u002fwjFCAAJxggBCccIAgnICAMJyQgECcoIBQnLCAYJzAgHCc0ICAnOCAkJzwgKCdAICwkMCdIIDQkOCdMIDgnUCA8J1QgQCdYIEQnXCBIJ2AgTCdkIFAnaCBUJ2wgWCdwIFwndCBgJ3ggZCd8IGgngCBsJ4QgcCeIIHQnjCB4J5AgfCeUIIAnmCCEJ5wgiCegIIwnpCCQJ6gglCesIJgnsCCcJ7QgoCe4IKQnvCCoJ8AgrCfEILAnyCC0J8wguCfQILwn1CDAJ9ggxCfcIMgn4CDMJ+Qg0CfoINQn7CDYJ\\u002fAg3Cf0IOAn+CDkJ\\u002fwg6CQAJOwkBCTwJAgk9CQMJPgkECT8JBQlACQYJQQkHCUIJCAlDCQkJRAkKCUUJCwlGCQwJRwkNCUgJSQkPCUoJSwkQCUsJEQlMCRIJTQkTCU4JFAlPCRUJUAkWCVEJFwlSCRgJUwkZCVQJGglVCRsJVgkcCVcJHQlYCR4JWQkfCVoJIAlbCSEJXAkiCV0JIwleCSQJXwklCWAJJglhCScJYgkoCWMJKQlkCSoJZQkrCWYJLAlnCS0JaAkuCWkJLwlqCTAJawkxCWwJMgltCTMJbgk0CW8JNQlwCTYJcQk3CXIJOAlzCTkJdAk6CXUJOwl2CTwJdwk9CXgJPgl5CT8JeglACXsJQQl8CUIJfQlDCX4JRAl\\u002fCUUJgAlGCYEJRwmCCUgJgwlJCYQJSgmFCYYJTAmHCYgJTQmICU4JiQlPCYoJUAmLCVEJjAlSCY0JUwmOCVQJjwlVCZAJVgmRCVcJkglYCZMJWQmUCVoJlQlbCZYJXAmXCV0JmAleCZkJXwmaCWAJmwlhCZwJYgmdCWMJnglkCZ8JZQmgCWYJoQlnCaIJaAmjCWkJpAlqCaUJawmmCWwJpwltCagJbgmpCW8JqglwCasJcQmsCXIJrQlzCa4JdAmvCXUJsAl2CbEJdwmyCXgJswl5CbQJegm1CXsJtgl8CbcJfQm4CX4JuQl\\u002fCboJgAm7CYEJvAmCCb0Jgwm+CYQJvwmFCcAJhgnBCYcJwgnDCYkJxAnFCYoJxQmLCcYJjAnHCY0JyAmOCckJjwnKCZAJywmRCcwJkgnNCZMJzgmUCc8JlQnQCZYJ0QmXCdIJmAnTCZkJ1AmaCdUJmwnWCZwJ1wmdCdgJngnZCZ8J2gmgCdsJoQncCaIJ3QmjCd4JpAnfCaUJ4AmmCeEJpwniCagJ4wmpCeQJqgnlCasJ5gmsCecJrQnoCa4J6QmvCeoJsAnrCbEJ7AmyCe0JswnuCbQJ7wm1CfAJtgnxCbcJ8gm4CfMJuQn0CboJ9Qm7CfYJvAn3Cb0J+Am+CfkJvwn6CcAJ+wnBCfwJwgn9CcMJ\\u002fgnECf8JAArGCQEKAgrHCQIKyAkDCskJBArKCQUKywkGCswJBwrNCQgKzgkJCs8JCgrQCQsK0QkMCtIJDQrTCQ4K1AkPCtUJEArWCREK1wkSCtgJEwrZCRQK2gkVCtsJFgrcCRcK3QkYCt4JGQrfCRoK4AkbCuEJHAriCR0K4wkeCuQJHwrlCSAK5gkhCucJIgroCSMK6QkkCuoJJQrrCSYK7AknCu0JKAruCSkK7wkqCvAJKwrxCSwK8gktCvMJLgr0CS8K9QkwCvYJMQr3CTIK+AkzCvkJNAr6CTUK+wk2CvwJNwr9CTgK\\u002fgk5Cv8JOgoACjsKAQo8Cj0KAwo+Cj8KBAo\\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\\u002fQrDCv4KxAr\\u002fCsUKAAvGCgELxwoCC8gKAwvJCgQLygoFC8sKBgvMCgcLzQoIC84KCQvPCgoL0AoLC9EKDAvSCg0L0woOC9QKDwvVChAL1goRC9cKEgvYChML2QoUC9oKFQvbChYL3AoXC90KGAveChkL3woaC+AKGwvhChwL4godC+MKHgvkCh8L5QogC+YKIQvnCiIL6AojC+kKJAvqCiUL6womC+wKJwvtCigL7gopC+8KKgvwCisL8QosC\\u002fIKLQvzCi4L9AovC\\u002fUKMAsxC\\u002fcKMgszC\\u002fgKMwv5CjQL+go1C\\u002fsKNgv8CjcL\\u002fQo4C\\u002f4KOQv\\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\\u002fC4ULwAuGC8ELhwvCC4gLwwuJC8QLigvFC4sLxguMC8cLjQvIC44LyQuPC8oLkAvLC5ELzAuSC80LkwvOC5QLzwuVC9ALlgvRC5cL0guYC9MLmQvUC5oL1QubC9YLnAvXC50L2AueC9kLnwvaC6AL2wuhC9wLogvdC6ML3gukC98LpQvgC6YL4QunC+ILqAvjC6kL5AuqC+ULqwvmC6wL5wvoC64L6QvqC68L6guwC+sLsQvsC7IL7QuzC+4LtAvvC7UL8Au2C\\u002fELtwvyC7gL8wu5C\\u002fQLugv1C7sL9gu8C\\u002fcLvQv4C74L+Qu\\u002fC\\u002foLwAv7C8EL\\u002fAvCC\\u002f0Lwwv+C8QL\\u002fwvFCwAMxgsBDMcLAgzICwMMyQsEDMoLBQzLCwYMzAsHDM0LCAzOCwkMzwsKDNALCwzRCwwM0gsNDNMLDgzUCw8M1QsQDNYLEQzXCxIM2AsTDNkLFAzaCxUM2wsWDNwLFwzdCxgM3gsZDN8LGgzgCxsM4QscDOILHQzjCx4M5AsfDOULIAzmCyEM5wsiDOgLIwzpCyQMJQzrCyYMJwzsCycM7QsoDO4LKQzvCyoM8AsrDPELLAzyCy0M8wsuDPQLLwz1CzAM9gsxDPcLMgz4CzMM+Qs0DPoLNQz7CzYM\\u002fAs3DP0LOAz+CzkM\\u002fws6DAAMOwwBDDwMAgw9DAMMPgwEDD8MBQxADAYMQQwHDEIMCAxDDAkMRAwKDEUMCwxGDAwMRwwNDEgMDgxJDA8MSgwQDEsMEQxMDBIMTQwTDE4MFAxPDBUMUAwWDFEMFwxSDBgMUwwZDFQMGgxVDBsMVgwcDFcMHQxYDB4MWQwfDFoMIAxbDCEMXAwiDF0MIwxeDCQMXwwlDGAMJgxhDGIMKAxjDGQMKQxkDCoMZQwrDGYMLAxnDC0MaAwuDGkMLwxqDDAMawwxDGwMMgxtDDMMbgw0DG8MNQxwDDYMcQw3DHIMOAxzDDkMdAw6DHUMOwx2DDwMdww9DHgMPgx5DD8MegxADHsMQQx8DEIMfQxDDH4MRAx\\u002fDEUMgAxGDIEMRwyCDEgMgwxJDIQMSgyFDEsMhgxMDIcMTQyIDE4MiQxPDIoMUAyLDFEMjAxSDI0MUwyODFQMjwxVDJAMVgyRDFcMkgxYDJMMWQyUDFoMlQxbDJYMXAyXDF0MmAxeDJkMXwyaDGAMmwxhDJwMYgydDGMMngyfDGUMoAyhDGYMoQxnDKIMaAyjDGkMpAxqDKUMawymDGwMpwxtDKgMbgypDG8MqgxwDKsMcQysDHIMrQxzDK4MdAyvDHUMsAx2DLEMdwyyDHgMswx5DLQMegy1DHsMtgx8DLcMfQy4DH4MuQx\\u002fDLoMgAy7DIEMvAyCDL0Mgwy+DIQMvwyFDMAMhgzBDIcMwgyIDMMMiQzEDIoMxQyLDMYMjAzHDI0MyAyODMkMjwzKDJAMywyRDMwMkgzNDJMMzgyUDM8MlQzQDJYM0QyXDNIMmAzTDJkM1AyaDNUMmwzWDJwM1wydDNgMngzZDJ8M2gygDNsM3AyiDN0M3gyjDN4MpAzfDKUM4AymDOEMpwziDKgM4wypDOQMqgzlDKsM5gysDOcMrQzoDK4M6QyvDOoMsAzrDLEM7AyyDO0MswzuDLQM7wy1DPAMtgzxDLcM8gy4DPMMuQz0DLoM9Qy7DPYMvAz3DL0M+Ay+DPkMvwz6DMAM+wzBDPwMwgz9DMMM\\u002fgzEDP8MxQwADcYMAQ3HDAINyAwDDckMBA3KDAUNywwGDcwMBw3NDAgNzgwJDc8MCg3QDAsN0QwMDdIMDQ3TDA4N1AwPDdUMEA3WDBEN1wwSDdgMEw3ZDBQN2gwVDdsMFg3cDBcN3QwYDRkN3wwaDRsN4AwbDeEMHA3iDB0N4wweDeQMHw3lDCAN5gwhDecMIg3oDCMN6QwkDeoMJQ3rDCYN7AwnDe0MKA3uDCkN7wwqDfAMKw3xDCwN8gwtDfMMLg30DC8N9QwwDfYMMQ33DDIN+AwzDfkMNA36DDUN+ww2DfwMNw39DDgN\\u002fgw5Df8MOg0ADTsNAQ08DQINPQ0DDT4NBA0\\u002fDQUNQA0GDUENBw1CDQgNQw0JDUQNCg1FDQsNRg0MDUcNDQ1IDQ4NSQ0PDUoNEA1LDRENTA0SDU0NEw1ODRQNTw0VDVANFg1RDRcNUg0YDVMNGQ1UDRoNVQ1WDRwNVw1YDR0NWA0eDVkNHw1aDSANWw0hDVwNIg1dDSMNXg0kDV8NJQ1gDSYNYQ0nDWINKA1jDSkNZA0qDWUNKw1mDSwNZw0tDWgNLg1pDS8Nag0wDWsNMQ1sDTINbQ0zDW4NNA1vDTUNcA02DXENNw1yDTgNcw05DXQNOg11DTsNdg08DXcNPQ14DT4NeQ0\\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\\u002fQ3DDf4NxA3\\u002fDcUNAA7GDQEOxw0CDsgNAw7JDQQOyg0FDssNBg7MDQcOzQ0IDs4NCQ7PDQoO0A0LDtENDA4NDtMNDg4PDtQNDw7VDRAO1g0RDtcNEg7YDRMO2Q0UDtoNFQ7bDRYO3A0XDt0NGA7eDRkO3w0aDuANGw7hDRwO4g0dDuMNHg7kDR8O5Q0gDuYNIQ7nDSIO6A0jDukNJA7qDSUO6w0mDuwNJw7tDSgO7g0pDu8NKg7wDSsO8Q0sDvINLQ7zDS4O9A0vDvUNMA72DTEO9w0yDvgNMw75DTQO+g01DvsNNg78DTcO\\u002fQ04Dv4NOQ7\\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\\u002fDoUOwA6GDsEOhw7CDogOww7EDooOxQ7GDosOxg6MDscOjQ7IDo4OyQ6PDsoOkA7LDpEOzA6SDs0Okw7ODpQOzw6VDtAOlg7RDpcO0g6YDtMOmQ7UDpoO1Q6bDtYOnA7XDp0O2A6eDtkOnw7aDqAO2w6hDtwOog7dDqMO3g6kDt8OpQ7gDqYO4Q6nDuIOqA7jDqkO5A6qDuUOqw7mDqwO5w6tDugOrg7pDq8O6g6wDusOsQ7sDrIO7Q6zDu4OtA7vDrUO8A62DvEOtw7yDrgO8w65DvQOug71DrsO9g68DvcOvQ74Dr4O+Q6\\u002fDvoOwA77DsEO\\u002fA7CDv0Oww7+DsQO\\u002fw7FDgAPAQ\\u002fHDgIPAw\\u002fIDgMPyQ4ED8oOBQ\\u002fLDgYPzA4HD80OCA\\u002fODgkPzw4KD9AOCw\\u002fRDgwP0g4ND9MODg\\u002fUDg8P1Q4QD9YOEQ\\u002fXDhIP2A4TD9kOFA\\u002faDhUP2w4WD9wOFw\\u002fdDhgP3g4ZD98OGg\\u002fgDhsP4Q4cD+IOHQ\\u002fjDh4P5A4fD+UOIA\\u002fmDiEP5w4iD+gOIw\\u002fpDiQP6g4lD+sOJg\\u002fsDicP7Q4oD+4OKQ\\u002fvDioP8A4rD\\u002fEOLA\\u002fyDi0P8w4uD\\u002fQOLw\\u002f1DjAP9g4xD\\u002fcOMg\\u002f4DjMP+Q40D\\u002foONQ\\u002f7DjYP\\u002fA43D\\u002f0OOA\\u002f+DjkP\\u002fw46DwAPOw8BDzwPAg89Dz4PBA8\\u002fD0APBQ9ADwYPQQ8HD0IPCA9DDwkPRA8KD0UPCw9GDwwPRw8ND0gPDg9JDw8PSg8QD0sPEQ9MDxIPTQ8TD04PFA9PDxUPUA8WD1EPFw9SDxgPUw8ZD1QPGg9VDxsPVg8cD1cPHQ9YDx4PWQ8fD1oPIA9bDyEPXA8iD10PIw9eDyQPXw8lD2APJg9hDycPYg8oD2MPKQ9kDyoPZQ8rD2YPLA9nDy0PaA8uD2kPLw9qDzAPaw8xD2wPMg9tDzMPbg80D28PNQ9wDzYPcQ83D3IPOA9zDzkPdA86D3UPOw92DzwPdw89D3gPPg95Dz8Peg97D0EPfA99D0IPfQ9DD34PRA9\\u002fD0UPgA9GD4EPRw+CD0gPgw9JD4QPSg+FD0sPhg9MD4cPTQ+ID04PiQ9PD4oPUA+LD1EPjA9SD40PUw+OD1QPjw9VD5APVg+RD1cPkg9YD5MPWQ+UD1oPlQ9bD5YPXA+XD10PmA9eD5kPXw+aD2APmw9hD5wPYg+dD2MPng9kD58PZQ+gD2YPoQ9nD6IPaA+jD2kPpA9qD6UPaw+mD2wPpw9tD6gPbg+pD28Pqg9wD6sPcQ+sD3IPrQ9zD64PdA+vD3UPsA92D7EPdw+yD3gPsw95D7QPeg+1D3sPtg98D7cPuA9+D7kPug9\\u002fD7oPgA+7D4EPvA+CD70Pgw++D4QPvw+FD8APhg\\u002fBD4cPwg+ID8MPiQ\\u002fED4oPxQ+LD8YPjA\\u002fHD40PyA+OD8kPjw\\u002fKD5APyw+RD8wPkg\\u002fND5MPzg+UD88PlQ\\u002fQD5YP0Q+XD9IPmA\\u002fTD5kP1A+aD9UPmw\\u002fWD5wP1w+dD9gPng\\u002fZD58P2g+gD9sPoQ\\u002fcD6IP3Q+jD94PpA\\u002ffD6UP4A+mD+EPpw\\u002fiD6gP4w+pD+QPqg\\u002flD6sP5g+sD+cPrQ\\u002foD64P6Q+vD+oPsA\\u002frD7EP7A+yD+0Psw\\u002fuD7QP7w+1D\\u002fAPtg\\u002fxD7cP8g+4D\\u002fMPuQ\\u002f0D\\u002fUPuw\\u002f2D\\u002fcPvA\\u002f3D70P+A++D\\u002fkPvw\\u002f6D8AP+w\\u002fBD\\u002fwPwg\\u002f9D8MP\\u002fg\\u002fED\\u002f8PxQ8AEMYPARDHDwIQyA8DEMkPBBDKDwUQyw8GEMwPBxDNDwgQzg8JEM8PChDQDwsQ0Q8MENIPDRDTDw4Q1A8PENUPEBDWDxEQ1w8SENgPExDZDxQQ2g8VENsPFhDcDxcQ3Q8YEN4PGRDfDxoQ4A8bEOEPHBDiDx0Q4w8eEOQPHxDlDyAQ5g8hEOcPIhDoDyMQ6Q8kEOoPJRDrDyYQ7A8nEO0PKBDuDykQ7w8qEPAPKxDxDywQ8g8tEPMPLhD0Dy8Q9Q8wEPYPMRAyEPgPMxA0EPkPNBD6DzUQ+w82EPwPNxD9DzgQ\\u002fg85EP8POhAAEDsQARA8EAIQPRADED4QBBA\\u002fEAUQQBAGEEEQBxBCEAgQQxAJEEQQChBFEAsQRhAMEEcQDRBIEA4QSRAPEEoQEBBLEBEQTBASEE0QExBOEBQQTxAVEFAQFhBREBcQUhAYEFMQGRBUEBoQVRAbEFYQHBBXEB0QWBAeEFkQHxBaECAQWxAhEFwQIhBdECMQXhAkEF8QJRBgECYQYRAnEGIQKBBjECkQZBAqEGUQKxBmECwQZxAtEGgQLhBpEC8QahAwEGsQMRBsEDIQbRAzEG4QbxA1EHAQcRA2EHEQNxByEDgQcxA5EHQQOhB1EDsQdhA8EHcQPRB4ED4QeRA\\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\\u002fRDDEP4QxBD\\u002fEMUQABHGEAERxxACEcgQAxHJEAQRyhAFEcsQBhHMEAcRzRAIEc4QCRHPEAoR0BALEdEQDBHSEA0R0xAOEdQQDxHVEBAR1hAREdcQEhHYEBMR2RAUEdoQFRHbEBYR3BAXEd0QGBHeEBkR3xAaEeAQGxHhEBwR4hAdEeMQHhHkEB8R5RAgEeYQIRHnECIR6BAjEekQJBHqECURJhHsECcRKBHtECgR7hApEe8QKhHwECsR8RAsEfIQLRHzEC4R9BAvEfUQMBH2EDER9xAyEfgQMxH5EDQR+hA1EfsQNhH8EDcR\\u002fRA4Ef4QORH\\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\\u002fEYURwBGGEcERhxHCEYgRwxGJEcQRihHFEYsRxhGMEccRjRHIEY4RyRGPEcoRkBHLEZERzBGSEc0RkxHOEZQRzxGVEdARlhHREZcR0hGYEdMRmRHUEZoR1RGbEdYRnBHXEZ0R2BGeEdkRnxHaEaAR2xGhEdwR3RGjEd4R3xGkEd8RpRHgEaYR4RGnEeIRqBHjEakR5BGqEeURqxHmEawR5xGtEegRrhHpEa8R6hGwEesRsRHsEbIR7RGzEe4RtBHvEbUR8BG2EfERtxHyEbgR8xG5EfQRuhH1EbsR9hG8EfcRvRH4Eb4R+RG\\u002fEfoRwBH7EcER\\u002fBHCEf0RwxH+EcQR\\u002fxHFEQASxhEBEscRAhLIEQMSyREEEsoRBRLLEQYSzBEHEs0RCBLOEQkSzxEKEtARCxLREQwS0hENEtMRDhLUEQ8S1REQEtYRERLXERIS2BETEtkRFBLaERUS2xEWEtwRFxLdERgS3hEZEhoS4BEbEhwS4REcEuIRHRLjER4S5BEfEuURIBLmESES5xEiEugRIxLpESQS6hElEusRJhLsEScS7REoEu4RKRLvESoS8BErEvERLBLyES0S8xEuEvQRLxL1ETAS9hExEvcRMhL4ETMS+RE0EvoRNRL7ETYS\\u002fBE3Ev0ROBL+ETkS\\u002fxE6EgASOxIBEjwSAhI9EgMSPhIEEj8SBRJAEgYSQRIHEkISCBJDEgkSRBIKEkUSCxJGEgwSRxINEkgSDhJJEg8SShIQEksSERJMEhISTRITEk4SFBJPEhUSUBIWElESFxJSEhgSUxIZElQSGhJVEhsSVhJXEh0SWBJZEh4SWRIfEloSIBJbEiESXBIiEl0SIxJeEiQSXxIlEmASJhJhEicSYhIoEmMSKRJkEioSZRIrEmYSLBJnEi0SaBIuEmkSLxJqEjASaxIxEmwSMhJtEjMSbhI0Em8SNRJwEjYScRI3EnISOBJzEjkSdBI6EnUSOxJ2EjwSdxI9EngSPhJ5Ej8SehJAEnsSQRJ8EkISfRJDEn4SRBJ\\u002fEkUSgBJGEoESRxKCEkgSgxJJEoQSShKFEksShhJMEocSTRKIEk4SiRJPEooSUBKLElESjBJSEo0SUxKOElQSjxJVEpASVhKRElcSkhJYEpMSlBJaEpUSlhJbEpYSXBKXEl0SmBJeEpkSXxKaEmASmxJhEpwSYhKdEmMSnhJkEp8SZRKgEmYSoRJnEqISaBKjEmkSpBJqEqUSaxKmEmwSpxJtEqgSbhKpEm8SqhJwEqsScRKsEnISrRJzEq4SdBKvEnUSsBJ2ErESdxKyEngSsxJ5ErQSehK1EnsSthJ8ErcSfRK4En4SuRJ\\u002fEroSgBK7EoESvBKCEr0SgxK+EoQSvxKFEsAShhLBEocSwhKIEsMSiRLEEooSxRKLEsYSjBLHEo0SyBKOEskSjxLKEpASyxKREswSkhLNEpMSzhKUEs8SlRLQEtESlxLSEtMSmBLTEpkS1BKaEtUSmxLWEpwS1xKdEtgSnhLZEp8S2hKgEtsSoRLcEqIS3RKjEt4SpBLfEqUS4BKmEuESpxLiEqgS4xKpEuQSqhLlEqsS5hKsEucSrRLoEq4S6RKvEuoSsBLrErES7BKyEu0SsxLuErQS7xK1EvASthLxErcS8hK4EvMSuRL0EroS9RK7EvYSvBL3Er0S+BK+EvkSvxL6EsAS+xLBEvwSwhL9EsMS\\u002fhLEEv8SxRIAE8YSARPHEgITyBIDE8kSBBPKEgUTyxIGE8wSBxPNEggTzhIJE88SChPQEgsT0RIME9ISDRMOE9QSDxMQE9USEBPWEhET1xISE9gSExPZEhQT2hIVE9sSFhPcEhcT3RIYE94SGRPfEhoT4BIbE+ESHBPiEh0T4xIeE+QSHxPlEiAT5hIhE+cSIhPoEiMT6RIkE+oSJRPrEiYT7BInE+0SKBPuEikT7xIqE\\u002fASKxPxEiwT8hItE\\u002fMSLhP0Ei8T9RIwE\\u002fYSMRP3EjIT+BIzE\\u002fkSNBP6EjUT+xI2E\\u002fwSNxP9EjgT\\u002fhI5E\\u002f8SOhMAEzsTARM8EwITPRMDEz4TBBM\\u002fEwUTQBMGE0ETBxNCEwgTQxMJE0QTChNFEwsTRhMME0cTDRNIEw4TSRMPE0oTSxM=\"},\"k\":{\"dtype\":\"i2\",\"bdata\":\"PQB5AHkAPgA+AD8APwBAAEAAQQBBAEIAQgBDAEMARABEAEUARQBGAEYARwBHAEgASABJAEkASgBKAEsASwBMAEwATQBNAE4ATgBPAE8AUABQAFEAUQBSAFIAUwBTAFQAVABVAFUAVgBWAFcAVwBYAFgAWQBZAFoAWgBbAFsAXABcAF0AXQBeAF4AXwBfAGAAYABhAGEAYgBiAGMAYwBkAGQAZQBlAGYAZgBnAGcAaABoAGkAaQBqAGoAawBrAGwAbABtAG0AbgBuAG8AbwBwAHAAcQBxAHIAcgBzAHMAdAB0AHUAdQB2AHYAdwB3AHgAeAB5AHoAtgC2AHsAewB8AHwAfQB9AH4AfgB\\u002fAH8AgACAAIEAgQCCAIIAgwCDAIQAhACFAIUAhgCGAIcAhwCIAIgAiQCJAIoAigCLAIsAjACMAI0AjQCOAI4AjwCPAJAAkACRAJEAkgCSAJMAkwCUAJQAlQCVAJYAlgCXAJcAmACYAJkAmQCaAJoAmwCbAJwAnACdAJ0AngCeAJ8AnwCgAKAAoQChAKIAogCjAKMApACkAKUApQCmAKYApwCnAKgAqACpAKkAqgCqAKsAqwCsAKwArQCtAK4ArgCvAK8AsACwALEAsQCyALIAswCzALQAtAC1ALUAtgC3APMA8wC4ALgAuQC5ALoAugC7ALsAvAC8AL0AvQC+AL4AvwC\\u002fAMAAwADBAMEAwgDCAMMAwwDEAMQAxQDFAMYAxgDHAMcAyADIAMkAyQDKAMoAywDLAMwAzADNAM0AzgDOAM8AzwDQANAA0QDRANIA0gDTANMA1ADUANUA1QDWANYA1wDXANgA2ADZANkA2gDaANsA2wDcANwA3QDdAN4A3gDfAN8A4ADgAOEA4QDiAOIA4wDjAOQA5ADlAOUA5gDmAOcA5wDoAOgA6QDpAOoA6gDrAOsA7ADsAO0A7QDuAO4A7wDvAPAA8ADxAPEA8gDyAPMA9AAwATAB9QD1APYA9gD3APcA+AD4APkA+QD6APoA+wD7APwA\\u002fAD9AP0A\\u002fgD+AP8A\\u002fwAAAQABAQEBAQIBAgEDAQMBBAEEAQUBBQEGAQYBBwEHAQgBCAEJAQkBCgEKAQsBCwEMAQwBDQENAQ4BDgEPAQ8BEAEQAREBEQESARIBEwETARQBFAEVARUBFgEWARcBFwEYARgBGQEZARoBGgEbARsBHAEcAR0BHQEeAR4BHwEfASABIAEhASEBIgEiASMBIwEkASQBJQElASYBJgEnAScBKAEoASkBKQEqASoBKwErASwBLAEtAS0BLgEuAS8BLwEwATEBbQFtATIBMgEzATMBNAE0ATUBNQE2ATYBNwE3ATgBOAE5ATkBOgE6ATsBOwE8ATwBPQE9AT4BPgE\\u002fAT8BQAFAAUEBQQFCAUIBQwFDAUQBRAFFAUUBRgFGAUcBRwFIAUgBSQFJAUoBSgFLAUsBTAFMAU0BTQFOAU4BTwFPAVABUAFRAVEBUgFSAVMBUwFUAVQBVQFVAVYBVgFXAVcBWAFYAVkBWQFaAVoBWwFbAVwBXAFdAV0BXgFeAV8BXwFgAWABYQFhAWIBYgFjAWMBZAFkAWUBZQFmAWYBZwFnAWgBaAFpAWkBagFqAWsBawFsAWwBbQFuAaoBqgFvAW8BcAFwAXEBcQFyAXIBcwFzAXQBdAF1AXUBdgF2AXcBdwF4AXgBeQF5AXoBegF7AXsBfAF8AX0BfQF+AX4BfwF\\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\\u002fQH9Af4B\\u002fgH\\u002fAf8BAAIAAgECAQICAgICAwIDAgQCBAIFAgUCBgIGAgcCBwIIAggCCQIJAgoCCgILAgsCDAIMAg0CDQIOAg4CDwIPAhACEAIRAhECEgISAhMCEwIUAhQCFQIVAhYCFgIXAhcCGAIYAhkCGQIaAhoCGwIbAhwCHAIdAh0CHgIeAh8CHwIgAiACIQIhAiICIgIjAiMCJAIlAmECYQImAiYCJwInAigCKAIpAikCKgIqAisCKwIsAiwCLQItAi4CLgIvAi8CMAIwAjECMQIyAjICMwIzAjQCNAI1AjUCNgI2AjcCNwI4AjgCOQI5AjoCOgI7AjsCPAI8Aj0CPQI+Aj4CPwI\\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\\u002fAr8CwALAAsECwQLCAsICwwLDAsQCxALFAsUCxgLGAscCxwLIAsgCyQLJAsoCygLLAssCzALMAs0CzQLOAs4CzwLPAtAC0ALRAtEC0gLSAtMC0wLUAtQC1QLVAtYC1gLXAtcC2ALYAtkC2QLaAtoC2wLcAhgDGAPdAt0C3gLeAt8C3wLgAuAC4QLhAuIC4gLjAuMC5ALkAuUC5QLmAuYC5wLnAugC6ALpAukC6gLqAusC6wLsAuwC7QLtAu4C7gLvAu8C8ALwAvEC8QLyAvIC8wLzAvQC9AL1AvUC9gL2AvcC9wL4AvgC+QL5AvoC+gL7AvsC\\u002fAL8Av0C\\u002fQL+Av4C\\u002fwL\\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\\u002fA38DgAOAA4EDgQOCA4IDgwODA4QDhAOFA4UDhgOGA4cDhwOIA4gDiQOJA4oDigOLA4sDjAOMA40DjQOOA44DjwOPA5ADkAORA5EDkgOTA88DzwOUA5QDlQOVA5YDlgOXA5cDmAOYA5kDmQOaA5oDmwObA5wDnAOdA50DngOeA58DnwOgA6ADoQOhA6IDogOjA6MDpAOkA6UDpQOmA6YDpwOnA6gDqAOpA6kDqgOqA6sDqwOsA6wDrQOtA64DrgOvA68DsAOwA7EDsQOyA7IDswOzA7QDtAO1A7UDtgO2A7cDtwO4A7gDuQO5A7oDugO7A7sDvAO8A70DvQO+A74DvwO\\u002fA8ADwAPBA8EDwgPCA8MDwwPEA8QDxQPFA8YDxgPHA8cDyAPIA8kDyQPKA8oDywPLA8wDzAPNA80DzgPOA88D0AMMBAwE0QPRA9ID0gPTA9MD1APUA9UD1QPWA9YD1wPXA9gD2APZA9kD2gPaA9sD2wPcA9wD3QPdA94D3gPfA98D4APgA+ED4QPiA+ID4wPjA+QD5APlA+UD5gPmA+cD5wPoA+gD6QPpA+oD6gPrA+sD7APsA+0D7QPuA+4D7wPvA\\u002fAD8APxA\\u002fED8gPyA\\u002fMD8wP0A\\u002fQD9QP1A\\u002fYD9gP3A\\u002fcD+AP4A\\u002fkD+QP6A\\u002foD+wP7A\\u002fwD\\u002fAP9A\\u002f0D\\u002fgP+A\\u002f8D\\u002fwMABAAEAQQBBAIEAgQDBAMEBAQEBAUEBQQGBAYEBwQHBAgECAQJBAkECgQKBAsECwQMBA0ESQRJBA4EDgQPBA8EEAQQBBEEEQQSBBIEEwQTBBQEFAQVBBUEFgQWBBcEFwQYBBgEGQQZBBoEGgQbBBsEHAQcBB0EHQQeBB4EHwQfBCAEIAQhBCEEIgQiBCMEIwQkBCQEJQQlBCYEJgQnBCcEKAQoBCkEKQQqBCoEKwQrBCwELAQtBC0ELgQuBC8ELwQwBDAEMQQxBDIEMgQzBDMENAQ0BDUENQQ2BDYENwQ3BDgEOAQ5BDkEOgQ6BDsEOwQ8BDwEPQQ9BD4EPgQ\\u002fBD8EQARABEEEQQRCBEIEQwRDBEQERARFBEUERgRGBEcERwRIBEgESQRKBIYEhgRLBEsETARMBE0ETQROBE4ETwRPBFAEUARRBFEEUgRSBFMEUwRUBFQEVQRVBFYEVgRXBFcEWARYBFkEWQRaBFoEWwRbBFwEXARdBF0EXgReBF8EXwRgBGAEYQRhBGIEYgRjBGMEZARkBGUEZQRmBGYEZwRnBGgEaARpBGkEagRqBGsEawRsBGwEbQRtBG4EbgRvBG8EcARwBHEEcQRyBHIEcwRzBHQEdAR1BHUEdgR2BHcEdwR4BHgEeQR5BHoEegR7BHsEfAR8BH0EfQR+BH4EfwR\\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\\u002fQT9BP4E\\u002fgT\\u002fBP8EAAUBBT0FPQUCBQIFAwUDBQQFBAUFBQUFBgUGBQcFBwUIBQgFCQUJBQoFCgULBQsFDAUMBQ0FDQUOBQ4FDwUPBRAFEAURBREFEgUSBRMFEwUUBRQFFQUVBRYFFgUXBRcFGAUYBRkFGQUaBRoFGwUbBRwFHAUdBR0FHgUeBR8FHwUgBSAFIQUhBSIFIgUjBSMFJAUkBSUFJQUmBSYFJwUnBSgFKAUpBSkFKgUqBSsFKwUsBSwFLQUtBS4FLgUvBS8FMAUwBTEFMQUyBTIFMwUzBTQFNAU1BTUFNgU2BTcFNwU4BTgFOQU5BToFOgU7BTsFPAU8BT0FPgV6BXoFPwU\\u002fBUAFQAVBBUEFQgVCBUMFQwVEBUQFRQVFBUYFRgVHBUcFSAVIBUkFSQVKBUoFSwVLBUwFTAVNBU0FTgVOBU8FTwVQBVAFUQVRBVIFUgVTBVMFVAVUBVUFVQVWBVYFVwVXBVgFWAVZBVkFWgVaBVsFWwVcBVwFXQVdBV4FXgVfBV8FYAVgBWEFYQViBWIFYwVjBWQFZAVlBWUFZgVmBWcFZwVoBWgFaQVpBWoFagVrBWsFbAVsBW0FbQVuBW4FbwVvBXAFcAVxBXEFcgVyBXMFcwV0BXQFdQV1BXYFdgV3BXcFeAV4BXkFeQV6BXsFtwW3BXwFfAV9BX0FfgV+BX8FfwWABYAFgQWBBYIFggWDBYMFhAWEBYUFhQWGBYYFhwWHBYgFiAWJBYkFigWKBYsFiwWMBYwFjQWNBY4FjgWPBY8FkAWQBZEFkQWSBZIFkwWTBZQFlAWVBZUFlgWWBZcFlwWYBZgFmQWZBZoFmgWbBZsFnAWcBZ0FnQWeBZ4FnwWfBaAFoAWhBaEFogWiBaMFowWkBaQFpQWlBaYFpgWnBacFqAWoBakFqQWqBaoFqwWrBawFrAWtBa0FrgWuBa8FrwWwBbAFsQWxBbIFsgWzBbMFtAW0BbUFtQW2BbYFtwW4BfQF9AW5BbkFugW6BbsFuwW8BbwFvQW9Bb4FvgW\\u002fBb8FwAXABcEFwQXCBcIFwwXDBcQFxAXFBcUFxgXGBccFxwXIBcgFyQXJBcoFygXLBcsFzAXMBc0FzQXOBc4FzwXPBdAF0AXRBdEF0gXSBdMF0wXUBdQF1QXVBdYF1gXXBdcF2AXYBdkF2QXaBdoF2wXbBdwF3AXdBd0F3gXeBd8F3wXgBeAF4QXhBeIF4gXjBeMF5AXkBeUF5QXmBeYF5wXnBegF6AXpBekF6gXqBesF6wXsBewF7QXtBe4F7gXvBe8F8AXwBfEF8QXyBfIF8wXzBfQF9QUxBjEG9gX2BfcF9wX4BfgF+QX5BfoF+gX7BfsF\\u002fAX8Bf0F\\u002fQX+Bf4F\\u002fwX\\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\\u002fBn8GgAaABoEGgQaCBoIGgwaDBoQGhAaFBoUGhgaGBocGhwaIBogGiQaJBooGigaLBosGjAaMBo0GjQaOBo4GjwaPBpAGkAaRBpEGkgaSBpMGkwaUBpQGlQaVBpYGlgaXBpcGmAaYBpkGmQaaBpoGmwabBpwGnAadBp0GngaeBp8GnwagBqAGoQahBqIGogajBqMGpAakBqUGpQamBqYGpwanBqgGqAapBqkGqgaqBqsGrAboBugGrQatBq4GrgavBq8GsAawBrEGsQayBrIGswazBrQGtAa1BrUGtga2BrcGtwa4BrgGuQa5BroGuga7BrsGvAa8Br0GvQa+Br4Gvwa\\u002fBsAGwAbBBsEGwgbCBsMGwwbEBsQGxQbFBsYGxgbHBscGyAbIBskGyQbKBsoGywbLBswGzAbNBs0GzgbOBs8GzwbQBtAG0QbRBtIG0gbTBtMG1AbUBtUG1QbWBtYG1wbXBtgG2AbZBtkG2gbaBtsG2wbcBtwG3QbdBt4G3gbfBt8G4AbgBuEG4QbiBuIG4wbjBuQG5AblBuUG5gbmBucG5wboBukGJQclB+oG6gbrBusG7AbsBu0G7QbuBu4G7wbvBvAG8AbxBvEG8gbyBvMG8wb0BvQG9Qb1BvYG9gb3BvcG+Ab4BvkG+Qb6BvoG+wb7BvwG\\u002fAb9Bv0G\\u002fgb+Bv8G\\u002fwYABwAHAQcBBwIHAgcDBwMHBAcEBwUHBQcGBwYHBwcHBwgHCAcJBwkHCgcKBwsHCwcMBwwHDQcNBw4HDgcPBw8HEAcQBxEHEQcSBxIHEwcTBxQHFAcVBxUHFgcWBxcHFwcYBxgHGQcZBxoHGgcbBxsHHAccBx0HHQceBx4HHwcfByAHIAchByEHIgciByMHIwckByQHJQcmB2IHYgcnBycHKAcoBykHKQcqByoHKwcrBywHLActBy0HLgcuBy8HLwcwBzAHMQcxBzIHMgczBzMHNAc0BzUHNQc2BzYHNwc3BzgHOAc5BzkHOgc6BzsHOwc8BzwHPQc9Bz4HPgc\\u002fBz8HQAdAB0EHQQdCB0IHQwdDB0QHRAdFB0UHRgdGB0cHRwdIB0gHSQdJB0oHSgdLB0sHTAdMB00HTQdOB04HTwdPB1AHUAdRB1EHUgdSB1MHUwdUB1QHVQdVB1YHVgdXB1cHWAdYB1kHWQdaB1oHWwdbB1wHXAddB10HXgdeB18HXwdgB2AHYQdhB2IHYwefB58HZAdkB2UHZQdmB2YHZwdnB2gHaAdpB2kHagdqB2sHawdsB2wHbQdtB24HbgdvB28HcAdwB3EHcQdyB3IHcwdzB3QHdAd1B3UHdgd2B3cHdwd4B3gHeQd5B3oHegd7B3sHfAd8B30HfQd+B34Hfwd\\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\\u002fAH8QfxB\\u002fIH8gfzB\\u002fMH9Af0B\\u002fUH9Qf2B\\u002fYH9wf3B\\u002fgH+Af5B\\u002fkH+gf6B\\u002fsH+wf8B\\u002fwH\\u002fQf9B\\u002f4H\\u002fgf\\u002fB\\u002f8HAAgACAEIAQgCCAIIAwgDCAQIBAgFCAUIBggGCAcIBwgICAgICQgJCAoICggLCAsIDAgMCA0IDQgOCA4IDwgPCBAIEAgRCBEIEggSCBMIEwgUCBQIFQgVCBYIFggXCBcIGAgYCBkIGghWCFYIGwgbCBwIHAgdCB0IHggeCB8IHwggCCAIIQghCCIIIggjCCMIJAgkCCUIJQgmCCYIJwgnCCgIKAgpCCkIKggqCCsIKwgsCCwILQgtCC4ILggvCC8IMAgwCDEIMQgyCDIIMwgzCDQINAg1CDUINgg2CDcINwg4CDgIOQg5CDoIOgg7CDsIPAg8CD0IPQg+CD4IPwg\\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\\u002fCL8IwAjACMEIwQjCCMIIwwjDCMQIxAjFCMUIxgjGCMcIxwjICMgIyQjJCMoIygjLCMsIzAjMCM0IzQjOCM4IzwjPCNAI0QgNCQ0J0gjSCNMI0wjUCNQI1QjVCNYI1gjXCNcI2AjYCNkI2QjaCNoI2wjbCNwI3AjdCN0I3gjeCN8I3wjgCOAI4QjhCOII4gjjCOMI5AjkCOUI5QjmCOYI5wjnCOgI6AjpCOkI6gjqCOsI6wjsCOwI7QjtCO4I7gjvCO8I8AjwCPEI8QjyCPII8wjzCPQI9Aj1CPUI9gj2CPcI9wj4CPgI+Qj5CPoI+gj7CPsI\\u002fAj8CP0I\\u002fQj+CP4I\\u002fwj\\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\\u002fCX8JgAmACYEJgQmCCYIJgwmDCYQJhAmFCYUJhgmGCYcJiAnECcQJiQmJCYoJigmLCYsJjAmMCY0JjQmOCY4JjwmPCZAJkAmRCZEJkgmSCZMJkwmUCZQJlQmVCZYJlgmXCZcJmAmYCZkJmQmaCZoJmwmbCZwJnAmdCZ0JngmeCZ8JnwmgCaAJoQmhCaIJogmjCaMJpAmkCaUJpQmmCaYJpwmnCagJqAmpCakJqgmqCasJqwmsCawJrQmtCa4JrgmvCa8JsAmwCbEJsQmyCbIJswmzCbQJtAm1CbUJtgm2CbcJtwm4CbgJuQm5CboJugm7CbsJvAm8Cb0JvQm+Cb4Jvwm\\u002fCcAJwAnBCcEJwgnCCcMJwwnECcUJAQoBCsYJxgnHCccJyAnICckJyQnKCcoJywnLCcwJzAnNCc0JzgnOCc8JzwnQCdAJ0QnRCdIJ0gnTCdMJ1AnUCdUJ1QnWCdYJ1wnXCdgJ2AnZCdkJ2gnaCdsJ2wncCdwJ3QndCd4J3gnfCd8J4AngCeEJ4QniCeIJ4wnjCeQJ5AnlCeUJ5gnmCecJ5wnoCegJ6QnpCeoJ6gnrCesJ7AnsCe0J7QnuCe4J7wnvCfAJ8AnxCfEJ8gnyCfMJ8wn0CfQJ9Qn1CfYJ9gn3CfcJ+An4CfkJ+Qn6CfoJ+wn7CfwJ\\u002fAn9Cf0J\\u002fgn+Cf8J\\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\\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\\u002fQr9Cv4K\\u002fgr\\u002fCv8KAAsACwELAQsCCwILAwsDCwQLBAsFCwULBgsGCwcLBwsICwgLCQsJCwoLCgsLCwsLDAsMCw0LDQsOCw4LDwsPCxALEAsRCxELEgsSCxMLEwsUCxQLFQsVCxYLFgsXCxcLGAsYCxkLGQsaCxoLGwsbCxwLHAsdCx0LHgseCx8LHwsgCyALIQshCyILIgsjCyMLJAskCyULJQsmCyYLJwsnCygLKAspCykLKgsqCysLKwssCywLLQstCy4LLgsvCy8LMAswCzELMQsyCzMLbwtvCzQLNAs1CzULNgs2CzcLNws4CzgLOQs5CzoLOgs7CzsLPAs8Cz0LPQs+Cz4LPws\\u002fC0ALQAtBC0ELQgtCC0MLQwtEC0QLRQtFC0YLRgtHC0cLSAtIC0kLSQtKC0oLSwtLC0wLTAtNC00LTgtOC08LTwtQC1ALUQtRC1ILUgtTC1MLVAtUC1ULVQtWC1YLVwtXC1gLWAtZC1kLWgtaC1sLWwtcC1wLXQtdC14LXgtfC18LYAtgC2ELYQtiC2ILYwtjC2QLZAtlC2ULZgtmC2cLZwtoC2gLaQtpC2oLagtrC2sLbAtsC20LbQtuC24LbwtwC6wLrAtxC3ELcgtyC3MLcwt0C3QLdQt1C3YLdgt3C3cLeAt4C3kLeQt6C3oLewt7C3wLfAt9C30Lfgt+C38LfwuAC4ALgQuBC4ILgguDC4MLhAuEC4ULhQuGC4YLhwuHC4gLiAuJC4kLiguKC4sLiwuMC4wLjQuNC44LjguPC48LkAuQC5ELkQuSC5ILkwuTC5QLlAuVC5ULlguWC5cLlwuYC5gLmQuZC5oLmgubC5sLnAucC50LnQueC54LnwufC6ALoAuhC6ELoguiC6MLowukC6QLpQulC6YLpgunC6cLqAuoC6kLqQuqC6oLqwurC6wLrQvpC+kLrguuC68LrwuwC7ALsQuxC7ILsguzC7MLtAu0C7ULtQu2C7YLtwu3C7gLuAu5C7kLugu6C7sLuwu8C7wLvQu9C74Lvgu\\u002fC78LwAvAC8ELwQvCC8ILwwvDC8QLxAvFC8ULxgvGC8cLxwvIC8gLyQvJC8oLygvLC8sLzAvMC80LzQvOC84LzwvPC9AL0AvRC9EL0gvSC9ML0wvUC9QL1QvVC9YL1gvXC9cL2AvYC9kL2QvaC9oL2wvbC9wL3AvdC90L3gveC98L3wvgC+AL4QvhC+IL4gvjC+ML5AvkC+UL5QvmC+YL5wvnC+gL6AvpC+oLJgwmDOsL6wvsC+wL7QvtC+4L7gvvC+8L8AvwC\\u002fEL8QvyC\\u002fIL8wvzC\\u002fQL9Av1C\\u002fUL9gv2C\\u002fcL9wv4C\\u002fgL+Qv5C\\u002foL+gv7C\\u002fsL\\u002fAv8C\\u002f0L\\u002fQv+C\\u002f4L\\u002fwv\\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\\u002fDH8MgAyADIEMgQyCDIIMgwyDDIQMhAyFDIUMhgyGDIcMhwyIDIgMiQyJDIoMigyLDIsMjAyMDI0MjQyODI4MjwyPDJAMkAyRDJEMkgySDJMMkwyUDJQMlQyVDJYMlgyXDJcMmAyYDJkMmQyaDJoMmwybDJwMnAydDJ0MngyeDJ8MnwygDKEM3QzdDKIMogyjDKMMpAykDKUMpQymDKYMpwynDKgMqAypDKkMqgyqDKsMqwysDKwMrQytDK4MrgyvDK8MsAywDLEMsQyyDLIMswyzDLQMtAy1DLUMtgy2DLcMtwy4DLgMuQy5DLoMugy7DLsMvAy8DL0MvQy+DL4Mvwy\\u002fDMAMwAzBDMEMwgzCDMMMwwzEDMQMxQzFDMYMxgzHDMcMyAzIDMkMyQzKDMoMywzLDMwMzAzNDM0MzgzODM8MzwzQDNAM0QzRDNIM0gzTDNMM1AzUDNUM1QzWDNYM1wzXDNgM2AzZDNkM2gzaDNsM2wzcDNwM3QzeDBoNGg3fDN8M4AzgDOEM4QziDOIM4wzjDOQM5AzlDOUM5gzmDOcM5wzoDOgM6QzpDOoM6gzrDOsM7AzsDO0M7QzuDO4M7wzvDPAM8AzxDPEM8gzyDPMM8wz0DPQM9Qz1DPYM9gz3DPcM+Az4DPkM+Qz6DPoM+wz7DPwM\\u002fAz9DP0M\\u002fgz+DP8M\\u002fwwADQANAQ0BDQINAg0DDQMNBA0EDQUNBQ0GDQYNBw0HDQgNCA0JDQkNCg0KDQsNCw0MDQwNDQ0NDQ4NDg0PDQ8NEA0QDRENEQ0SDRINEw0TDRQNFA0VDRUNFg0WDRcNFw0YDRgNGQ0ZDRoNGw1XDVcNHA0cDR0NHQ0eDR4NHw0fDSANIA0hDSENIg0iDSMNIw0kDSQNJQ0lDSYNJg0nDScNKA0oDSkNKQ0qDSoNKw0rDSwNLA0tDS0NLg0uDS8NLw0wDTANMQ0xDTINMg0zDTMNNA00DTUNNQ02DTYNNw03DTgNOA05DTkNOg06DTsNOw08DTwNPQ09DT4NPg0\\u002fDT8NQA1ADUENQQ1CDUINQw1DDUQNRA1FDUUNRg1GDUcNRw1IDUgNSQ1JDUoNSg1LDUsNTA1MDU0NTQ1ODU4NTw1PDVANUA1RDVENUg1SDVMNUw1UDVQNVQ1VDVYNVg1XDVgNlA2UDVkNWQ1aDVoNWw1bDVwNXA1dDV0NXg1eDV8NXw1gDWANYQ1hDWINYg1jDWMNZA1kDWUNZQ1mDWYNZw1nDWgNaA1pDWkNag1qDWsNaw1sDWwNbQ1tDW4Nbg1vDW8NcA1wDXENcQ1yDXINcw1zDXQNdA11DXUNdg12DXcNdw14DXgNeQ15DXoNeg17DXsNfA18DX0NfQ1+DX4Nfw1\\u002fDYANgA2BDYENgg2CDYMNgw2EDYQNhQ2FDYYNhg2HDYcNiA2IDYkNiQ2KDYoNiw2LDYwNjA2NDY0Njg2ODY8Njw2QDZANkQ2RDZINkg2TDZMNlA2VDdEN0Q2WDZYNlw2XDZgNmA2ZDZkNmg2aDZsNmw2cDZwNnQ2dDZ4Nng2fDZ8NoA2gDaENoQ2iDaINow2jDaQNpA2lDaUNpg2mDacNpw2oDagNqQ2pDaoNqg2rDasNrA2sDa0NrQ2uDa4Nrw2vDbANsA2xDbENsg2yDbMNsw20DbQNtQ21DbYNtg23DbcNuA24DbkNuQ26DboNuw27DbwNvA29Db0Nvg2+Db8Nvw3ADcANwQ3BDcINwg3DDcMNxA3EDcUNxQ3GDcYNxw3HDcgNyA3JDckNyg3KDcsNyw3MDcwNzQ3NDc4Nzg3PDc8N0A3QDdEN0g0ODg4O0w3TDdQN1A3VDdUN1g3WDdcN1w3YDdgN2Q3ZDdoN2g3bDdsN3A3cDd0N3Q3eDd4N3w3fDeAN4A3hDeEN4g3iDeMN4w3kDeQN5Q3lDeYN5g3nDecN6A3oDekN6Q3qDeoN6w3rDewN7A3tDe0N7g3uDe8N7w3wDfAN8Q3xDfIN8g3zDfMN9A30DfUN9Q32DfYN9w33DfgN+A35DfkN+g36DfsN+w38DfwN\\u002fQ39Df4N\\u002fg3\\u002fDf8NAA4ADgEOAQ4CDgIOAw4DDgQOBA4FDgUOBg4GDgcOBw4IDggOCQ4JDgoOCg4LDgsODA4MDg0ODQ4ODg8OSw5LDhAOEA4RDhEOEg4SDhMOEw4UDhQOFQ4VDhYOFg4XDhcOGA4YDhkOGQ4aDhoOGw4bDhwOHA4dDh0OHg4eDh8OHw4gDiAOIQ4hDiIOIg4jDiMOJA4kDiUOJQ4mDiYOJw4nDigOKA4pDikOKg4qDisOKw4sDiwOLQ4tDi4OLg4vDi8OMA4wDjEOMQ4yDjIOMw4zDjQONA41DjUONg42DjcONw44DjgOOQ45DjoOOg47DjsOPA48Dj0OPQ4+Dj4OPw4\\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\\u002fDr8OwA7ADsEOwQ7CDsIOww7DDsQOxA7FDsYOAg8CD8cOxw7IDsgOyQ7JDsoOyg7LDssOzA7MDs0OzQ7ODs4Ozw7PDtAO0A7RDtEO0g7SDtMO0w7UDtQO1Q7VDtYO1g7XDtcO2A7YDtkO2Q7aDtoO2w7bDtwO3A7dDt0O3g7eDt8O3w7gDuAO4Q7hDuIO4g7jDuMO5A7kDuUO5Q7mDuYO5w7nDugO6A7pDukO6g7qDusO6w7sDuwO7Q7tDu4O7g7vDu8O8A7wDvEO8Q7yDvIO8w7zDvQO9A71DvUO9g72DvcO9w74DvgO+Q75DvoO+g77DvsO\\u002fA78Dv0O\\u002fQ7+Dv4O\\u002fw7\\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lEXwP4iutZcgvvE\\u002fRGZM9GAA8z8tu+r5KgD0P5baoKBPs\\u002fQ\\u002fBE79UNkS9T9s0NJPzhv1P1Rd2KvtBPU\\u002fByHUY5ev9D8vrLfM9gr0P7oWXlPeH\\u002fM\\u002f\\u002f+7Vpyj58T+9l0hWwaLwP6blZLtKUe4\\u002fjvOfn8Ur6z+gUdVDa+fnP+MuNT\\u002ffkeQ\\u002fStLCop0z4T\\u002f+OqhRCaHbPxyaY+bg0dQ\\u002flN2YUgPsyz8edbW+6R28P5jKJ4t8qJI8XoABRTqWvL\\u002fe2WolitfMv7cvrKNG0dW\\u002f2FoXLVZP3b+p\\u002fcdDOGziv4YBu16WK+a\\u002f\\u002f5y3ENfW6b+YU7yB7Vrtv1Cyn\\u002fObUPC\\u002fo4\\u002fTo0bI8b8z0hSEewfzv849b6kQAvS\\u002f+EEQexeu9L9GK2llHgX1v1Rd2KvtBPW\\u002fByHUY5ev9L8vrLfM9gr0v7sWXlPeH\\u002fO\\u002fAe\\u002fVpyj58b++l0hWwaLwv6blZLtKUe6\\u002fkPOfn8Ur67+hUdVDa+fnv+QuNT\\u002ffkeS\\u002fTdLCop0z4b8LO6hRCaHbvx6aY+bg0dS\\u002fod2YUgPsy79IdbW+6R28v+Svu9C6\\u002fKu8Q4ABRTqWvD\\u002fG2WolitfMP7QvrKNG0dU\\u002f0loXLVZP3T+i\\u002fcdDOGziP4MBu16WK+Y\\u002f\\u002fpy3ENfW6T+UU7yB7VrtP1Cyn\\u002fObUPA\\u002foo\\u002fTo0bI8T8x0hSEewfzP849b6kQAvQ\\u002f+EEQexeu9D9GK2llHgX1P1Rd2KvtBPU\\u002fTBks37fo9D9uZXPQNYr0P1\\u002fgVT2x3fM\\u002fBuO1f7js8j\\u002fcqx6fjMLxP++dVaQna\\u002fA\\u002f6aa4G6fk7T9bQBvsksXqPw2+MKrOiuc\\u002fSAWBfUVB5D8inth4vPDgP1UL1kikONs\\u002fgVArxyuH1D8EWqa9TY\\u002fLP7FWuOEUyrs\\u002fHztKvkt4kjz49\\u002fVmGFm8vzVXmoF6p8y\\u002fJEfWA1y31b82PW+nATrdv6Hs4Yl0ZuK\\u002f5IXhKUAs5r+MpWJhBd7pv1OyB8UjZ+2\\u002f6RB1YcVX8L9eZOBYgs7xvwQ4BfyHCvO\\u002fqteYbqv\\u002f87+CYOYAQ6T0vyY4tw5q8vS\\u002fTBks37fo9L9vZXPQNYr0v1\\u002fgVT2x3fO\\u002fB+O1f7js8r\\u002fdqx6fjMLxv++dVaQna\\u002fC\\u002f6aa4G6fk7b9dQBvsksXqvw++MKrOiue\\u002fSQWBfUVB5L8lnth4vPDgv18L1kikONu\\u002fg1ArxyuH1L8QWqa9TY\\u002fLv9pWuOEUyru\\u002frlhvnXG0q7ze9\\u002fVmGFm8Px5XmoF6p8w\\u002fIkfWA1y31T8wPW+nATrdP5zs4Yl0ZuI\\u002f4oXhKUAs5j+LpWJhBd7pP06yB8UjZ+0\\u002f6RB1YcVX8D9dZOBYgs7xPwI4BfyHCvM\\u002fqteYbqv\\u002f8z+CYOYAQ6T0PyU4tw5q8vQ\\u002fTBks37fo9D9MNilqMsf0P\\u002fh0I3A5X\\u002fQ\\u002fLFdR+Kmq8z\\u002fQ4QFZ2bPyP9qiqjtvhvE\\u002fExlGImku8D8EeQ6imW7tP8etDwPdVuo\\u002fWL74f4om5z+MenQp1OnjP2VYEcXUp+A\\u002fyeLUOfvF2j\\u002fkRi1jQzTUPy\\u002fmpJ0FJ8s\\u002fxgCbVCJquz+89HV93j+SPLPPZ4ZAD7y\\u002fyX69eb1qzL9IHZ9DKZTVv4+l2tHiGN2\\u002fBBPEZtpZ4r+9jYDBfiXmv6llpKeJ3em\\u002fS4PnQKtr7b+Q7A7+HFvwv1mcWNLk0PG\\u002fbmcYdJkJ87\\u002fN871nDPnzv3vpIP\\u002felfS\\u002f3J+Pw8Ta9L9MNilqMsf0v\\u002fh0I3A5X\\u002fS\\u002fLVdR+Kmq87\\u002fR4QFZ2bPyv9uiqjtvhvG\\u002fFBlGImku8L8EeQ6imW7tv8utDwPdVuq\\u002fWb74f4om57+NenQp1Onjv2lYEcXUp+C\\u002f1eLUOfvF2r\\u002foRi1jQzTUvzrmpJ0FJ8u\\u002f7wCbVCJqu78a7zC8zV+rvJjPZ4ZAD7w\\u002ftH69eb1qzD9GHZ9DKZTVP4al2tHiGN0\\u002f\\u002fRLEZtpZ4j+8jYDBfiXmP6hlpKeJ3ek\\u002fRoPnQKtr7T+Q7A7+HFvwP1icWNLk0PE\\u002fbGcYdJkJ8z\\u002fN871nDPnzP3vpIP\\u002felfQ\\u002f3Z+Pw8Ta9D9MNilqMsf0P0EJWsWEoPQ\\u002fs94oVc4u9D8p\\u002f2FrEXLzP7nMN010dfI\\u002f4\\u002fhHjQVF8T93i9Btd9nvPwq9SsOO7+w\\u002feECZMw\\u002fg6T8okLKqBbvmP6\\u002fze3jpi+M\\u002frF5j6zdZ4D\\u002f5fwGEkUnaP7N6KEuJ2dM\\u002fMyIXz6qzyj+To+Kcj\\u002f66P8Jkek6F\\u002f5E8RSoYoia5u7\\u002fMzH83uyHMv0up+ubuZ9W\\u002ffKU1Pzns3L8IEEu8g0biv\\u002fRqR+lkF+a\\u002f3INv4HPV6b+GlTJPmWjtvz\\u002fN4OazWvC\\u002fn7ye4IbP8b87CyazzgTzv8cldkVV7vO\\u002fFn3jLA6D9L+PiZKyUr70v0EJWsWEoPS\\u002ftN4oVc4u9L8o\\u002f2FrEXLzv7rMN010dfK\\u002f5fhHjQVF8b94i9Btd9nvvwq9SsOO7+y\\u002fe0CZMw\\u002fg6b8qkLKqBbvmv7Dze3jpi+O\\u002fr15j6zdZ4L8DgAGEkUnav7V6KEuJ2dO\\u002fPyIXz6qzyr+8o+Kcj\\u002f66vyOXt\\u002fVH\\u002f6q8KyoYoia5uz+1zH83uyHMP0mp+ubuZ9U\\u002fd6U1Pzns3D8DEEu8g0biP\\u002fFqR+lkF+Y\\u002f24Nv4HPV6T+BlTJPmWjtPz\\u002fN4OazWvA\\u002fn7ye4IbP8T86CyazzgTzP8cldkVV7vM\\u002fFn3jLA6D9D+QiZKyUr70P0EJWsWEoPQ\\u002fp5bu1QF19D+SljCyUfnzP2jozgVNNPM\\u002f3f37rfIx8j9Rxi4GuP7wP6bgCA0HTe8\\u002fmAd3sUJo7D8TAdbX12HpP\\u002fWwKaPeSOY\\u002fKI3q9RAo4z9hGQQtWwXgPxjYFEEgxNk\\u002f2ztU8IN30z\\u002fH+icf6TXKP0KHcxoBiLo\\u002fNu9Quqe3kTz0uo+aX1e7v49tiDb8zMu\\u002fy5P7eAUz1b972x0QY7Tcv9ibH1SbLOK\\u002fTljM1xUC5r\\u002fLDD214sXpvzhKqOIQXu2\\u002fRgrZC6NW8L9HfW97jMrxv0FO4B1X\\u002fPK\\u002fu3YmA7\\u002ff87\\u002fEkjV7EWz0v01aAARdnfS\\u002fp5bu1QF19L+TljCyUfnzv2jozgVNNPO\\u002f3v37rfIx8r9Txi4GuP7wv6fgCA0HTe+\\u002fmAd3sUJo7L8VAdbX12Hpv\\u002fWwKaPeSOa\\u002fKY3q9RAo479lGQQtWwXgvyPYFEEgxNm\\u002f3TtU8IN307\\u002fT+icf6TXKv2uHcxoBiLq\\u002f0WZ5l3uTqrzauo+aX1e7P3ltiDb8zMs\\u002fyJP7eAUz1T922x0QY7TcP9GbH1SbLOI\\u002fTVjM1xUC5j\\u002fKDD214sXpPzNKqOIQXu0\\u002fRgrZC6NW8D9HfW97jMrxP0FO4B1X\\u002fPI\\u002fu3YmA7\\u002ff8z\\u002fFkjV7EWz0P05aAARdnfQ\\u002fp5bu1QF19D\\u002flXFaFLkX0P7pnhdtXv\\u002fM\\u002fV15Kcfzx8j\\u002fMtcVG+OnxPyt7baUmtPA\\u002fwZO+lK247j8BfKdkyNnrP7uTT8Uu3eg\\u002fTzBrhfHQ5T+Jnu5uCb\\u002fiP4cTrOS6Wd8\\u002fU+ju6aA22T+9\\u002fgo85w7TP8bvrW6jrsk\\u002fDdyLcksHuj8NzjucyGiRPKnhi3Sk6rq\\u002fw5\\u002fjwSlty79hP\\u002fK73PXUvyixdqDbcdy\\u002fpTPOfFwM4r\\u002faR0WDxeXlv0SML40Er+m\\u002fjH\\u002faOERM7b9Ec2ZaDE\\u002fwv4eTjoAmwvG\\u002fTx43g3Xw8r8lOJIons3zvxY5U8RNUfS\\u002fj9gZZlh49L\\u002flXFaFLkX0v7tnhdtXv\\u002fO\\u002fV15Kcfzx8r\\u002fOtcVG+Onxvyx7baUmtPC\\u002fwZO+lK247r8BfKdkyNnrv7+TT8Uu3ei\\u002fUTBrhfHQ5b+Knu5uCb\\u002fiv4wTrOS6Wd+\\u002fXuju6aA22b+\\u002f\\u002fgo85w7Tv9LvrW6jrsm\\u002fM9yLcksHur8UtVnqLB2qvI\\u002fhi3Sk6ro\\u002frJ\\u002fjwSltyz9fP\\u002fK73PXUPyOxdqDbcdw\\u002foDPOfFwM4j\\u002fZR0WDxeXlP0KML40Er+k\\u002fh3\\u002faOERM7T9Ec2ZaDE\\u002fwP4aTjoAmwvE\\u002fTh43g3Xw8j8kOJIons3zPxY5U8RNUfQ\\u002fkNgZZlh49D\\u002flXFaFLkX0PxTuf5HEEfQ\\u002fc+l0Vq6B8z\\u002fy7Buu+qvyP7Ko5dNjnvE\\u002fMq4mRSlm8D\\u002fIkceU\\u002fB3uPz7reg2LRes\\u002f+a45K1dT6D9qO3VZWlTlPyDMvr7HUeI\\u002ftmuiNhWh3j\\u002f8D45wVKLYP06a4AWboNI\\u002fh6sw6fweyT90Qbj9e325PyMHhzqKE5E8umbEddVzur9rgVH0DQPLv7vlfP35sNS\\u002fFeTUZjgl3L8kyDpDEebhv15Mriq3wuW\\u002fM\\u002fxrkxaR6b8aHlcodDPtvwoAW2YaRPC\\u002fCt4OcZK28b81lrhMgOHyvysTU+RjuPO\\u002f+3PU+k0z9L8seVHv50\\u002f0vxTuf5HEEfS\\u002fdel0Vq6B87\\u002fy7Buu+qvyv7Oo5dNjnvG\\u002fM64mRSlm8L\\u002fKkceU\\u002fB3uv0Dreg2LReu\\u002f+645K1dT6L9sO3VZWlTlvyLMvr7HUeK\\u002fvGuiNhWh3r8GEI5wVKLYv1Ca4AWboNK\\u002fkKsw6fweyb+bQbj9e325v7SKyldPnam8oWbEddVzuj9XgVH0DQPLP7jlfP35sNQ\\u002fDuTUZjgl3D8eyDpDEebhP11Mriq3wuU\\u002fMvxrkxaR6T8WHlcodDPtPwoAW2YaRPA\\u002fCt4OcZK28T80lrhMgOHyPysTU+RjuPM\\u002f+nPU+k0z9D8teVHv50\\u002f0PxTuf5HEEfQ\\u002fXkUmArHb8z\\u002fuGWiBWUHzPytfL8BaY\\u002fI\\u002fXuFqHEtQ8T\\u002fEtMLPyxXwP4CGxWbkfu0\\u002f9BXJV0mt6j9BV7xA3MXnP8CsMfRy1OQ\\u002fHlkN0nXh4T8+rjFGt+LdP3BCOmvFCNg\\u002f9Rt4Nr4t0j\\u002fm58ayXojIP2qq0Nbe67g\\u002fkMJXj7G4kDwAes3L\\u002fPO5v9mYNXmTj8q\\u002fidtHA\\u002fZk1L+yfaLBJM\\u002fbvxS\\u002ffrIPuuG\\u002fU75RejqZ5b\\u002fLViL7YWzpv9nvRD7tE+2\\u002f\\u002fh8vof418L+8EGcvGKjxvxzY2vfez\\u002fK\\u002f4KxItpug87+KAfFewRL0v8rRHr\\u002fbJPS\\u002fXkUmArHb87\\u002fvGWiBWUHzvytfL8BaY\\u002fK\\u002fXuFqHEtQ8b\\u002fGtMLPyxXwv4GGxWbkfu2\\u002f9BXJV0mt6r9DV7xA3MXnv8GsMfRy1OS\\u002fH1kN0nXh4b9BrjFGt+Ldv3pCOmvFCNi\\u002f9xt4Nr4t0r\\u002fx58ayXojIv46q0Nbe67i\\u002f2KMDVwoVqbzoec3L\\u002fPO5P8WYNXmTj8o\\u002fh9tHA\\u002fZk1D+sfaLBJM\\u002fbPw6\\u002ffrIPuuE\\u002fUr5RejqZ5T\\u002fJViL7YWzpP9TvRD7tE+0\\u002f\\u002fR8vof418D+7EGcvGKjxPxvY2vfez\\u002fI\\u002f36xItpug8z+KAfFewRL0P8rRHr\\u002fbJPQ\\u002fXkUmArHb8z+8JAkWDqTzP3cBcsGN\\u002f\\u002fI\\u002fJ5CU\\u002fV8Z8j9VFyXU8gDxPwWbFvmMiO8\\u002fN1Uxqabd7D\\u002fKzppkChPqP4tE+YqINuc\\u002fyXuhJMxS5D\\u002fr786CbW\\u002fhP1FqREbmIN0\\u002f1qKBTsRr1z\\u002f\\u002fP1ahpbfRP0myGqB47Mc\\u002fTAbZMgFUuD8u\\u002f0wYKFmQPJ4e90VQbLm\\u002fZDEkL8UTyr\\u002fsg4sGexLUv0ZzvZRdcNu\\u002fW4Smr7aI4b\\u002frcEfsp2nlv8esgx04Qem\\u002fR6JnQwPu7L8H5kdt7iTwv+jvpAwGl\\u002fG\\u002fXk8YGwW88r\\u002fesgXO5Ybzvy5x1rJ18PO\\u002fni2sNCv487+8JAkWDqTzv3kBcsGN\\u002f\\u002fK\\u002fJ5CU\\u002fV8Z8r9VFyXU8gDxvwebFvmMiO+\\u002fN1Uxqabd7L\\u002fKzppkChPqv41E+YqINue\\u002fynuhJMxS5L\\u002fs786CbW\\u002fhv1ZqREbmIN2\\u002f36KBTsRr178BQFahpbfRv1SyGqB47Me\\u002fbwbZMgFUuL\\u002fFfnMkvIWovIYe90VQbLk\\u002fTjEkL8UTyj\\u002fqg4sGexLUP0BzvZRdcNs\\u002fVYSmr7aI4T\\u002fqcEfsp2nlP8Wsgx04Qek\\u002fQqJnQwPu7D8H5kdt7iTwP+bvpAwGl\\u002fE\\u002fXE8YGwW88j\\u002fesgXO5YbzPy9x1rJ18PM\\u002fny2sNCv48z+8JAkWDqTzPyqFxucYbPM\\u002fI2a1hqS98j\\u002fm8Ztucs\\u002fxP8Dx0sfCsfA\\u002fv9J3GOXl7j9Pjis8wjzsPwch9OcMeek\\u002f7zAx8Ven5j\\u002fE2MpAItHjP3uB9EQv\\u002feA\\u002f8tUhJSxe3D8ur9I6Xc3WP3bc6f\\u002fVP9E\\u002frC+O8TtNxz8InB\\u002fkrre3P+Hm9hP36488oM9AjjHeuL\\u002fAUqShzZDJvzKh\\u002fRtDutO\\u002f9eW1lK0J278JSYYVa1Lhv1nrQShdNOW\\u002fWExmQ+4P6b9JsyMIDMLsv35Sh4kfEfC\\u002fTijHsKuD8b9dVhqLa6byv3EDdKbua\\u002fO\\u002f2TYd2U3N879r\\u002fEcG68rzvyqFxucYbPO\\u002fI2a1hqS98r\\u002fm8Ztucs\\u002fxv8Dx0sfCsfC\\u002fwdJ3GOXl7r9Ojis8wjzsvwYh9OcMeem\\u002f8TAx8Ven5r\\u002fF2MpAItHjv3yB9EQv\\u002feC\\u002f99UhJSxe3L83r9I6Xc3Wv3jc6f\\u002fVP9G\\u002fty+O8TtNx78rnB\\u002fkrre3vygt+U758Ke8h89AjjHeuD+rUqShzZDJPzCh\\u002fRtDutM\\u002f8OW1lK0J2z8ESYYVa1LhP1frQShdNOU\\u002fVExmQ+4P6T9FsyMIDMLsP35Sh4kfEfA\\u002fTijHsKuD8T9dVhqLa6byP3EDdKbua\\u002fM\\u002f2TYd2U3N8z9q\\u002fEcG68rzPyqFxucYbPM\\u002fc8dtcyM18z89WNjXDX3yPywBoAQQh\\u002fE\\u002fJoOuJDdk8D9ApBCUeEbuP9UcmQLanus\\u002fwFgdWLHh6D\\u002f9spNGZRrmPy6FSotNUeM\\u002fJan\\u002f+1SM4D8BjCHyQZ3bP6wT\\u002foPHL9Y\\u002fEu758\\u002fjH0D9vV5+dz6zGP1rt2lPqGLc\\u002f\\u002f99mxrUgjzz4dIVDLEu4v6mkKh\\u002f2B8m\\u002fLnBsOBdd07+XdtPq6pvav940lqOVF+G\\u002fiBfZIrr55L\\u002fEnH752djov4jGPHVakOy\\u002fxqT+1Ij1778MbGKRVG7xv8jqAW+Ij\\u002fK\\u002frFasuWRQ879\\u002fQ1KtNarzv\\u002fYQvPE\\u002fnvO\\u002fc8dtcyM1878+WNjXDX3yvywBoAQQh\\u002fG\\u002fJ4OuJDdk8L9CpBCUeEbuv9UcmQLanuu\\u002fwFgdWLHh6L8As5NGZRrmvy+FSotNUeO\\u002fJqn\\u002f+1SM4L8HjCHyQZ3bv7UT\\u002foPHL9a\\u002fE+758\\u002fjH0L94V5+dz6zGv3vt2lPqGLe\\u002f\\u002fyfNVIhYp7zfdIVDLEu4P5SkKh\\u002f2B8k\\u002fLHBsOBdd0z+SdtPq6pvaP9k0lqOVF+E\\u002fhxfZIrr55D\\u002fDnH752djoP4HGPHVakOw\\u002fxqT+1Ij17z8LbGKRVG7xP8bqAW+Ij\\u002fI\\u002fq1asuWRQ8z9\\u002fQ1KtNarzP\\u002fcQvPE\\u002fnvM\\u002fc8dtcyM18z9Ky\\u002fkBhADzP6Mb6mU\\u002fP\\u002fI\\u002flVhwsLtB8T9Hi3zozxnwPxtdM6Amre0\\u002f75GKIJgG6z9LYNWPYE\\u002foP9zmMl3UkeU\\u002fKixwTi\\u002fV4j\\u002fLihmxgR7gP6OVNFP04No\\u002fkuQuxU+V1T8iiQiDzVHQP+tEaGh+DcY\\u002fi0Z9y955tj8YYzIlIVOOPOpVRmbxtLe\\u002f\\u002fjabBaV6yL8xXRzIzvvSv5ZaCIf2J9q\\u002fwCb4I6LY4L+WuWqTH7rkv2ZgJbBOnOi\\u002fpDOSzjpZ7L+UGzUtEsTvvzVqorVCV\\u002fG\\u002fFB\\u002fnMMd38r8lsrRd7TTzv1niszMUiPO\\u002fbhFfGU9z879Ky\\u002fkBhADzv6Ub6mU\\u002fP\\u002fK\\u002flVhwsLtB8b9Ji3zozxnwvx9dM6Amre2\\u002f8JGKIJgG679LYNWPYE\\u002fov97mMl3UkeW\\u002fKyxwTi\\u002fV4r\\u002fNihmxgR7gv6mVNFP04Nq\\u002fmuQuxU+V1b8kiQiDzVHQv\\u002fREaGh+Dca\\u002frUZ9y955tr9SyuXbWL6mvNRVRmbxtLc\\u002f7DabBaV6yD8vXRzIzvvSP45aCIf2J9o\\u002fuyb4I6LY4D+VuWqTH7rkP2VgJbBOnOg\\u002fnzOSzjpZ7D+TGzUtEsTvPzRqorVCV\\u002fE\\u002fEx\\u002fnMMd38j8lsrRd7TTzP1niszMUiPM\\u002fbxFfGU9z8z9Ky\\u002fkBhADzP9xujEWDz\\u002fI\\u002fw2J1ZqIF8j9+uS6P6wDxP0x1OVj\\u002fp+8\\u002fYQ4eZ7Qc7T8tRpvEj3bqPzUC7KFwxOc\\u002fbj+TE7oP5T9tdVHknF7iP2++HXKeat8\\u002fzDoG4AMs2j8D01X4PQDVP8gQNQ4qvs8\\u002fD0\\u002fpwZ9xxT\\u002fbqGGKzdy1P75\\u002filXzhY08Ft6jtE8dt79JbHHFWurHv0gNgpNPl9K\\u002fBepjCr2u2b+Jb6\\u002fo\\u002f5XgvyhS6w\\u002fvdeS\\u002fPM0UJJ1a6L\\u002fU1mPZ8Bzsv+FTKQQiju+\\u002fUTXsdqo+8b95eqE2gV\\u002fyvw4rru8ZGvO\\u002fLzgJa71n878CyYRiLUvzv9xujEWDz\\u002fK\\u002fxGJ1ZqIF8r9+uS6P6wDxv091OVj\\u002fp++\\u002fYw4eZ7Qc7b8uRpvEj3bqvzUC7KFwxOe\\u002fcT+TE7oP5b9tdVHknF7iv3C+HXKeat+\\u002f0ToG4AMs2r8M01X4PQDVv8wQNQ4qvs+\\u002fGU\\u002fpwZ9xxb\\u002f7qGGKzdy1v87fJ4B2JKa8AN6jtE8dtz82bHHFWurHP0YNgpNPl9I\\u002fAOpjCr2u2T+Eb6\\u002fo\\u002f5XgPydS6w\\u002fvdeQ\\u002fO80UJJ1a6D\\u002fP1mPZ8BzsP+FTKQQiju8\\u002fUDXsdqo+8T94eqE2gV\\u002fyPw4rru8ZGvM\\u002fLzgJa71n8z8DyYRiLUvzP9xujEWDz\\u002fI\\u002f85YEmUqj8j8TnfqSgdHxPw+cmXj3xfA\\u002f7xT+CzYo7z8TDAGSrZfsP3ehUbUf8ek\\u002f5p\\u002f52QlD5z+n2dIUBJbkP9dQ\\u002fipK7+E\\u002fI+oFQHak3j8o3XrEA4HZP3ERx5C5ctQ\\u002f2OCEFPzizj9N+OcSfdvEP4qnacn2Q7U\\u002fDzzl6\\u002fS7jDyKXVPXKIa2v+CQXxqtWMe\\u002fLN4de40w0r82CWnJODHZv4IrTHMjUOC\\u002fA9sLxYwt5L8p\\u002fB6xFBTov74p+Du42+u\\u002f\\u002ftuzduxT77\\u002fEtVnFryTxvyfvjTD4RvK\\u002f6V4MZl4A87+Zvr8V5UnzvwBaCEnPJvO\\u002f85YEmUqj8r8UnfqSgdHxvw+cmXj3xfC\\u002f8BT+CzYo778XDAGSrZfsv3ehUbUf8em\\u002f5p\\u002f52QlD57+o2dIUBJbkv9hQ\\u002fipK7+G\\u002fJOoFQHak3r8s3XrEA4HZv3kRx5C5ctS\\u002f2+CEFPzizr9V+OcSfdvEv6mnacn2Q7W\\u002fC+3rsPeMpbx0XVPXKIa2P8yQXxqtWMc\\u002fK94de40w0j8xCWnJODHZP30rTHMjUOA\\u002fAtsLxYwt5D8o\\u002fB6xFBToP7kp+Du42+s\\u002f\\u002ftuzduxT7z\\u002fEtVnFryTxPybvjTD4RvI\\u002f6V4MZl4A8z+Zvr8V5UnzPwBaCEnPJvM\\u002f85YEmUqj8j8BIEDa03zyP+4Nn6\\u002f4o\\u002fE\\u002fjVM7MgmS8D+O9CJmk7buP2DaLkxIIOw\\u002f5wn111d46T+aAeT6Dc3mPyJa3ihiJuQ\\u002f3OiED7WI4T\\u002f3ME25KO3dP4V482Q54tg\\u002fD1xI863u0z\\u002f8eSuxHRXOP1AczKg1TcQ\\u002fDljfXoCxtD81wrEf4veLPK4LQ5pj8bW\\u002fXXQmFEDHxr+GO8p4icjRv7ak5w50sNi\\u002fMg2U04gH4L9j8gdoYuHjvxA8bkwGyee\\u002famwcAseV67+GaZIAlBXvv0mXxz1lCfG\\u002fN0CSlVIu8r925po2Cujyv7RMybUTL\\u002fO\\u002frSFilfoG878BIEDa03zyv+8Nn6\\u002f4o\\u002fG\\u002fjlM7MgmS8L+P9CJmk7buv2PaLkxIIOy\\u002f5gn111d46b+aAeT6Dc3mvyVa3ihiJuS\\u002f3eiED7WI4b\\u002f6ME25KO3dv4l482Q54ti\\u002fF1xI863u07\\u002f\\u002feSuxHRXOv1gczKg1TcS\\u002fLVjfXoCxtL+nUcWX6fmkvJoLQ5pj8bU\\u002fTHQmFEDHxj+DO8p4icjRP7Ck5w50sNg\\u002fLg2U04gH4D9h8gdoYuHjPw08bkwGyec\\u002fZWwcAseV6z+GaZIAlBXvP0iXxz1lCfE\\u002fNECSlVIu8j915po2CujyP7RMybUTL\\u002fM\\u002frSFilfoG8z8CIEDa03zyP4WFNzbcXPI\\u002fZj313OZ98T8H0spnD2bwPwtXchn1VO4\\u002f2erTvk646z\\u002fllhax4w3pP9IfYrIDZOY\\u002f\\u002f1Zz7jLC4z\\u002fxcmLhEyzhP1Ju9azWRt0\\u002fcCIS1X9R2D9FD1fDsXXTP4Nbs3QjV80\\u002fq6Kbv6PIwz9bdeIcXCe0Pxm2cO5NPIs8Q3eTzdtgtb9WmNrCvDfGv5IeFlZPYNG\\u002fVuG1l4ot2L+D4i8ubHnfv7x0x7fikeO\\u002f0HHJjMh557\\u002fpgv3MUUvrv1dtZDUt0+6\\u002fmHRnHc3s8L\\u002fzuQ6dmhXyvz5HbDhE0fK\\u002f0RVEvJ4X879a9R03O+zyv4WFNzbcXPK\\u002fZj313OZ98b8I0spnD2bwvw5Xchn1VO6\\u002f3erTvk6467\\u002fllhax4w3pv9IfYrIDZOa\\u002fAVdz7jLC47\\u002fycmLhEyzhv1Ru9azWRt2\\u002fdSIS1X9R2L9ND1fDsXXTv4Zbs3QjV82\\u002fs6Kbv6PIw794deIcXCe0v5OI1HI6baS8L3eTzdtgtT9DmNrCvDfGP5AeFlZPYNE\\u002fT+G1l4ot2D934i8ubHnfP7l0x7fikeM\\u002fz3HJjMh55z\\u002fkgv3MUUvrP1htZDUt0+4\\u002fl3RnHc3s8D\\u002fzuQ6dmhXyPz1HbDhE0fI\\u002f0RVEvJ4X8z9b9R03O+zyP4aFNzbcXPI\\u002fTEQr+9pD8j\\u002fXuwm85F\\u002fxP9iWrUy0QvA\\u002fApqQKLYE7j\\u002froc2LD2HrPyJqonn7sug\\u002fdU8\\u002f7gcJ5j+3C7ymdWrjP7u1sPxH2uA\\u002fyj8yWguz3D\\u002f40xW9MdDXP3jTzVXzCNM\\u002fGmljbAmrzD+d1zQwRU\\u002fDPw1ZcjMwp7M\\u002f7F2ge4WLijyF8TzJUNa0v\\u002fxPvqjFq8W\\u002fHa+\\u002fp\\u002fH40L+nPYlBqanXv\\u002faCiB964N6\\u002fh1Mtu4w\\u002f47\\u002fS2sftuybnvxBNVuiQ\\u002fOq\\u002foReqYMSM7r9mU9Xe287wv4rbdrq\\u002f\\u002fPG\\u002ffIzm1Am88r+oU0+ZpAPzv7pUjjjc1vK\\u002fTEQr+9pD8r\\u002fZuwm85F\\u002fxv9iWrUy0QvC\\u002fA5qQKLYE7r\\u002fvoc2LD2HrvyJqonn7sui\\u002fdU8\\u002f7gcJ5r+6C7ymdWrjv7y1sPxH2uC\\u002fzT8yWguz3L\\u002f90xW9MdDXv4DTzVXzCNO\\u002fHWljbAmrzL+l1zQwRU\\u002fDvylZcjMwp7O\\u002fcUa4HKToo7xx8TzJUNa0P+pPvqjFq8U\\u002fHK+\\u002fp\\u002fH40D+fPYlBqanXP+uCiB964N4\\u002fhlMtu4w\\u002f4z\\u002fR2sftuybnPwpNVuiQ\\u002fOo\\u002foReqYMSM7j9lU9Xe287wP4rbdrq\\u002f\\u002fPE\\u002ffIzm1Am88j+oU0+ZpAPzP7tUjjjc1vI\\u002fTEQr+9pD8j+ukXMl\\u002fTHyPx6SdxU\\u002fSvE\\u002f5rECelgo8D8yHKsapsbtPwP87zJWG+s\\u002fuZZP1Fxo6D+O7HFHxrzlP96K01nCH+M\\u002fA89xCtaT4D\\u002f76mPRrTLcP8Vr8ckbX9c\\u002fZa5pLCyp0j9NHf3fHBLMP2alZQMq4sI\\u002fTBgny0Mysz8X9v8ndueJPOO83NhTU7S\\u002fN8SObukkxb9LGuXag5PQvxE65R0LJte\\u002fOsqZjndF3r9Ej97q7eriv662UGpO0Oa\\u002fxGo9WcWp6r\\u002fHzDsiZELuv\\u002fWdIRh8r\\u002fC\\u002fNWQVVZrj8b9rZyOAMajyv8Ee5fIM8\\u002fK\\u002f61ENWuXG8r+ukXMl\\u002fTHyvx+SdxU\\u002fSvG\\u002f5rECelgo8L8yHKsapsbtvwf87zJWG+u\\u002fuZZP1Fxo6L+O7HFHxrzlv+GK01nCH+O\\u002fBc9xCtaT4L\\u002f96mPRrTLcv8pr8ckbX9e\\u002fbK5pLCyp0r9QHf3fHBLMv22lZQMq4sK\\u002faBgny0Mys7+R+P+dmG2jvNC83NhTU7Q\\u002fJsSObukkxT9KGuXag5PQPws65R0LJtc\\u002fLsqZjndF3j9Dj97q7eriP622UGpO0OY\\u002fv2o9WcWp6j\\u002fGzDsiZELuP\\u002fWdIRh8r\\u002fA\\u002fM2QVVZrj8T9rZyOAMajyP8Ee5fIM8\\u002fI\\u002f7FENWuXG8j+ukXMl\\u002fTHyP9mrC+klJ\\u002fI\\u002fKFShTPY88T+\\u002fAmU\\u002fEhfwPzjgLY8Im+0\\u002fC882nGvn6j9h2bqCSy7oP1IU+Rh5f+U\\u002fz+YgEkni4j8d39Cf5FjgP2UUyqP9xds\\u002fhTdLAnn+1j+85U+1nFbSP2bQcnfyjMs\\u002fXVPsneqBwj8kZcu1ccmyP2MSr7+YUYk8kxnMADjZs7\\u002fXR7avlKTEv+V+d3ASMdC\\u002flexmfvOj1r+H2ShOtqndv\\u002fMXHZ6ilOK\\u002flA2Wpv125r9CALMCPVPqv05pdgUc9O2\\u002faKCaD5OO8L9irGs68cnxv71YaxpwlfK\\u002fZMll3ozl8r+qYPxtHbzyv9qrC+klJ\\u002fK\\u002fKFShTPY88b+\\u002fAmU\\u002fEhfwvzrgLY8Im+2\\u002fDs82nGvn6r9h2bqCSy7ov1IU+Rh5f+W\\u002f0uYgEkni4r8e39Cf5Fjgv2YUyqP9xdu\\u002fizdLAnn+1r\\u002fE5U+1nFbSv2jQcnfyjMu\\u002fZVPsneqBwr8\\u002fZcu1ccmyv8pNw48y\\u002faK8gBnMADjZsz\\u002fFR7avlKTEP+R+d3ASMdA\\u002fkOxmfvOj1j972ShOtqndP\\u002fEXHZ6ilOI\\u002fkw2Wpv125j89ALMCPVPqP05pdgUc9O0\\u002faKCaD5OO8D9hrGs68cnxP71YaxpwlfI\\u002fZMll3ozl8j+rYPxtHbzyP9qrC+klJ\\u002fI\\u002f5OBWAfQi8j81cz56wjfxP4nF8zuxDvA\\u002fJB0ivpyB7T\\u002f\\u002fz3BMHsXqPyZeQcCZBOg\\u002fIjGRI\\u002fFQ5T9GtA9G2LHiP3eF3HBBKeA\\u002fcAQkVJts2z9Eslhp+a3WP+92lrcQEdI\\u002fRKHvs2kbyz\\u002fLUjt1pi7CPxz9YX4ibbI\\u002flJkmuuPKiDwjmViQBGmzvxg4VPsDLMS\\u002fjzM8tDOlz78qZnwRpSTWvwB8906XDt2\\u002fqI0VXVQ94r\\u002fgk3AkVxvmv61rIC9V+em\\u002fiYZzKAai7b+lMp1yBWzwv1S47CGAr\\u002fG\\u002fVFOolGCD8r+JWsGTrtryvz5FJBgRtvK\\u002f5eBWAfQi8r82cz56wjfxv4nF8zuxDvC\\u002fJR0ivpyB7b8B0HBMHsXqvyZeQcCZBOi\\u002fIzGRI\\u002fFQ5b9JtA9G2LHiv3iF3HBBKeC\\u002fcwQkVJts279Kslhp+a3Wv\\u002fZ2lrcQEdK\\u002fR6Hvs2kby7\\u002fTUjt1pi7Cvzj9YX4ibbK\\u002fLvOcyyqYorwQmViQBGmzPwc4VPsDLMQ\\u002fjDM8tDOlzz8lZnwRpSTWP\\u002fR7906XDt0\\u002fpo0VXVQ94j\\u002ffk3AkVxvmP6lrIC9V+ek\\u002fiYZzKAai7T+kMp1yBWzwP1K47CGAr\\u002fE\\u002fVFOolGCD8j+JWsGTrtryPz9FJBgRtvI\\u002f5eBWAfQi8j+cUssfyyTyP2Ypa6EbOvE\\u002fbBdGu8UO8D9DAXbPq3ntP7HP6SPRs+o\\u002fali7Nrfq5z+0x\\u002fnmozDlP0VVg9XpjeI\\u002fqKs\\u002fqGwE4D8nAfHVmyXbP1aHoVLSbNY\\u002fG92Y8uvX0T+E1BpDvbzKP8rbqlgL6ME\\u002fIqtfY04dsj90+b3hxVOIPFv8lcprA7O\\u002fF+vgTze8w788bCl0+fHOv4EDaa9WqdW\\u002fm0DWYYB13L+wxR0ZtuXhv4GqR1n2veW\\u002fFSBQIXuc6b\\u002ffj7tHS0ztvxTviqa7R\\u002fC\\u002fEausif6T8b8C1kwAjXHyv6z9U77b0fK\\u002fro\\u002fSKB208r+cUssfyyTyv2cpa6EbOvG\\u002fbBdGu8UO8L9EAXbPq3ntv7XP6SPRs+q\\u002fali7Nrfq57+1x\\u002fnmozDlv0dVg9XpjeK\\u002fqKs\\u002fqGwE4L8pAfHVmyXbv1yHoVLSbNa\\u002fI92Y8uvX0b+F1BpDvbzKv9PbqlgL6MG\\u002fPatfY04dsr8Xe05p1D6ivEn8lcprA7M\\u002fBuvgTze8wz85bCl0+fHOP3wDaa9WqdU\\u002fj0DWYYB13D+vxR0ZtuXhP4CqR1n2veU\\u002fESBQIXuc6T\\u002ffj7tHS0ztPxPviqa7R\\u002fA\\u002fD6usif6T8T8B1kwAjXHyP6z9U77b0fI\\u002fro\\u002fSKB208j+cUssfyyTyPyL1aHbgK\\u002fI\\u002fhI4XHEVD8T9RM0wIqxbwP5qyUXEcgu0\\u002fzaSOAY+y6j9Yt\\u002fDqxN\\u002fnP6hmXDO\\u002fHeU\\u002f9rE+V7V14j9LTSytUtPfPxmd+Eul79o\\u002fPRxrztY51j9jEsedParRP7jsC1ueb8o\\u002fydZgc2StwT\\u002fzDFDzhtmxP+Igy+Qp7Ic8HMcEmsaosr+4qZJX6FXDv+TzLf70Sc6\\u002f3tWe7iYz1b8RMJ5Yz9\\u002fbv24b26p+juG\\u002fr0z934Bf5b8QyIOxKj3pv4rJ89sk8+y\\u002fj8JbTKUh8L8RXVs9Jnfxv+5sYh14X\\u002fK\\u002fricJWGnK8r+E7p16e7XyvyL1aHbgK\\u002fK\\u002fho4XHEVD8b9RM0wIqxbwv5uyUXEcgu2\\u002f0KSOAY+y6r9Yt\\u002fDqxN\\u002fnv6hmXDO\\u002fHeW\\u002f+bE+V7V14r9MTSytUtPfvxqd+Eul79q\\u002fQxxrztY51r9rEsedParRv7vsC1ueb8q\\u002f0NZgc2Stwb8ODVDzhtmxv6lYmGsf8aG8C8cEmsaosj+oqZJX6FXDP+HzLf70Sc4\\u002f2dWe7iYz1T8HMJ5Yz9\\u002fbP20b26p+juE\\u002frkz934Bf5T8KyIOxKj3pP4rJ89sk8+w\\u002fj8JbTKUh8D8QXVs9JnfxP+5sYh14X\\u002fI\\u002fricJWGnK8j+F7p16e7XyPyP1aHbgK\\u002fI\\u002fXILKHkk38j\\u002fFg6QgW1LxPwyrcbaTJfA\\u002fs7ADwomZ7T8joX5PIcDqP75+Ahas4uc\\u002faMFC9j8X5T+EYtfnRWjiPy2yb8oisN8\\u002fLy36RBLJ2j95lLvFlRPWP5NZbsXYhtE\\u002fFKWeLVgyyj9Jj5Ber33BP8wDkTgHobE\\u002f7dtQaoKThzwuUM3LFVmyv3LxY3+E+cK\\u002fyzIa1U6uzb9L\\u002f37lD8PUvw\\u002fyNwHMTtu\\u002fgzK+RGI44b+jTrdXoQDlvymC01fr2+i\\u002fXZQ7V92W7L+57cl3d\\u002fPvv1PJE\\u002fi4WPG\\u002f6xyMgKZM8r9TCDblo8Pyv2u1jApRufK\\u002fXILKHkk38r\\u002fGg6QgW1LxvwyrcbaTJfC\\u002ftbADwomZ7b8moX5PIcDqv71+Ahas4ue\\u002faMFC9j8X5b+FYtfnRWjivyyyb8oisN+\\u002fMi36RBLJ2r9+lLvFlRPWv5pZbsXYhtG\\u002fGaWeLVgyyr9Qj5Ber33Bv+cDkTgHobG\\u002f8aS8z6GuobwcUM3LFVmyP2LxY3+E+cI\\u002fxzIa1U6uzT9F\\u002f37lD8PUPwTyNwHMTts\\u002fgTK+RGI44T+iTrdXoQDlPySC01fr2+g\\u002fW5Q7V92W7D+27cl3d\\u002fPvP1HJE\\u002fi4WPE\\u002f6xyMgKZM8j9TCDblo8PyP2y1jApRufI\\u002fXILKHkk38j8IjIQICUbyPy5UmyhhZvE\\u002fmF0pzJY68D9Yz2KEW77tP14ssWAn2+o\\u002fRH+6sjXy5z+l9lr\\u002fCRzlPwESoVKRZOI\\u002f5pEkOFad3z+dXVgPGLDaPzNRQdJ6+NU\\u002fdUkLDm9s0T9qNWjA9wLKP+vEjwS1V8E\\u002fBjzxtshysT8h+W1l3UiHPMqMocMIFLK\\u002fRpRCrCunwr+lzEn3zR\\u002fNvwcvmZbcWdS\\u002fiDoxtprD2r9936a2C+TgvzYxkbgBouS\\u002fSNPUSEx56L\\u002fJO1Ljzjfsv01ectcGoO+\\u002fIx6Sv4Q48b+kriGMpjjyv\\u002f1MffTavPK\\u002f17Zb+ru+8r8IjIQICUbyvy9UmyhhZvG\\u002fmF0pzJY68L9Zz2KEW77tv2IssWAn2+q\\u002fRX+6sjXy57+m9lr\\u002fCRzlvwMSoVKRZOK\\u002f6JEkOFad37+gXVgPGLDavzhRQdJ6+NW\\u002ffUkLDm9s0b9vNWjA9wLKv\\u002fPEjwS1V8G\\u002fIDzxtshysb\\u002fYehIMpnahvLmMocMIFLI\\u002fN5RCrCunwj+hzEn3zR\\u002fNPwIvmZbcWdQ\\u002ffjoxtprD2j9736a2C+TgPzQxkbgBouQ\\u002fRNPUSEx56D\\u002fJO1LjzjfsP0hectcGoO8\\u002fIh6Sv4Q48T+kriGMpjjyP\\u002f1MffTavPI\\u002f2LZb+ru+8j8JjIQICUbyP5KbbiohV\\u002fI\\u002fwaEHCVB+8T9CfyvCvFTwP3NsOK7d7u0\\u002fxZzCoywC6z8d9BmXIA3oP87nNXT+KuU\\u002freOfUo5p4j831jJM\\u002fJjfP859RHrsoto\\u002ffy0tre7m1T+j7jNCq1nRP9qnayx038k\\u002f5eRGxyM6wT9a9UIMm02xP4aBtar8Coc8+w8KCwnZsb91fdzas17Cv\\u002faacfzSnsy\\u002frvVZXSH40788rOk0MT\\u002favwg6GWUWkuC\\u002fJhNG9kVE5L9rovVm4BXovwWGejdh1uu\\u002fdk5fyBhJ77\\u002fU\\u002fa3LZhbxvw1G8qwWI\\u002fK\\u002f0gPg8mq18r9CSF1L4MTyv5KbbiohV\\u002fK\\u002fw6EHCVB+8b9CfyvCvFTwv3RsOK7d7u2\\u002fyZzCoywC678d9BmXIA3ov87nNXT+KuW\\u002fsOOfUo5p4r841jJM\\u002fJjfv9B9RHrsotq\\u002fgy0tre7m1b+q7jNCq1nRv92nayx038m\\u002f7ORGxyM6wb909UIMm02xvyQhCIA9SKG86g8KCwnZsT9lfdzas17CP\\u002fOacfzSnsw\\u002fqPVZXSH40z8xrOk0MT\\u002faPwc6GWUWkuA\\u002fJRNG9kVE5D9novVm4BXoPwWGejdh1us\\u002fc05fyBhJ7z\\u002fS\\u002fa3LZhbxPw1G8qwWI\\u002fI\\u002f0wPg8mq18j9CSF1L4MTyP5ObbiohV\\u002fI\\u002f9nTu5Ztp8j9\\u002fa6e0IpnxP\\u002frf+2wLc\\u002fA\\u002fFKzOqFUp7j9ZpjH\\u002fuzPrP72VnkA0Mug\\u002faoW86A5D5T9MhT3TR3biP8njFzVMod8\\u002ftNuAh+ef2j9AsoI\\u002fdN3VP8I8pTtJTdE\\u002fItQpftPFyT\\u002fufT9hqCPBP3avNNo7MLE\\u002f0reuUXHYhjxm6IegSaexv6itzW2xH8K\\u002fxCChP1orzL9iiL5QOJ7Tv9en0BNPwtm\\u002f8uyKsglD4L8hfFOsB+jjv+Ouprw6sue\\u002fpKtrKwdz678JCHLw4+7uvx+ZpP5M8vC\\u002fo\\u002fsGjKkL8r8jJ3upxKzyv5ooAmDyyvK\\u002f9nTu5Ztp8r+Aa6e0Ipnxv\\u002frf+2wLc\\u002fC\\u002fFqzOqFUp7r9dpjH\\u002fuzPrv72VnkA0Mui\\u002faoW86A5D5b9OhT3TR3biv8rjFzVMod+\\u002ft9uAh+ef2r9FsoI\\u002fdN3Vv8o8pTtJTdG\\u002fJdQpftPFyb\\u002f0fT9hqCPBv4+vNNo7MLG\\u002f3QlD\\u002fVQiobxV6IegSaexP5mtzW2xH8I\\u002fwCChP1orzD9diL5QOJ7TP8yn0BNPwtk\\u002f7+yKsglD4D8gfFOsB+jjP9+uprw6suc\\u002fpKtrKwdz6z8ICHLw4+7uPx6ZpP5M8vA\\u002fo\\u002fsGjKkL8j8jJ3upxKzyP5ooAmDyyvI\\u002f9nTu5Ztp8j+NsmXYlnzyP37ibN\\u002fgtfE\\u002fbHZmHJCU8D9E+rgHFGzuP5rg6iJvbus\\u002ffpaW+U5g6D+hvp2MS2PlP0OJEoLrieI\\u002fNzxP0cG03z8LXh0onqXaPy4bTei\\u002f2tU\\u002fI6lvLylG0T81eRsaSbTJP5p95E0DE8E\\u002fkEfNwGwZsT9sKZRCt6+GPPIuaY3YfbG\\u002f7Jp6ZoPpwb+N+F\\u002f6BMXLv9n+ngdCTNO\\u002fiPA5o3pN2b\\u002fIzganrO7fv0t0sU3TjeO\\u002fawSh\\u002fetO57+TQICSPA7rv6k0LhK0ke6\\u002fC\\u002f1PGjbM8L8AljEpKPLxvydQxw1yovK\\u002fPUlYqD7Q8r+NsmXYlnzyv4DibN\\u002fgtfG\\u002fbXZmHJCU8L9F+rgHFGzuv57g6iJvbuu\\u002ffZaW+U5g6L+ivp2MS2Plv0aJEoLrieK\\u002fODxP0cG0378NXh0onqXavzIbTei\\u002f2tW\\u002fKqlvLylG0b85eRsaSbTJv6F95E0DE8G\\u002fqUfNwGwZsb8QH+9xyQOhvOIuaY3YfbE\\u002f3Zp6ZoPpwT+K+F\\u002f6BMXLP9X+ngdCTNM\\u002fgPA5o3pN2T\\u002fGzganrO7fP0p0sU3TjeM\\u002fZgSh\\u002fetO5z+TQICSPA7rP6Y0LhK0ke4\\u002fCf1PGjbM8D8AljEpKPLxPydQxw1yovI\\u002fPUlYqD7Q8j+OsmXYlnzyP1qDc7FJj\\u002fI\\u002fsiaWB6fT8T\\u002fx3f59Z7jwP0znNvmBte4\\u002fAtP8KPmw6z8QlxGebpboPwKVWoTriuU\\u002fZQI5n9Kj4j\\u002fhLRoZMNLfPyXW3Qz0sto\\u002fgekrXsfd1T9jctkVXUPRP5WfnJBLqck\\u002fJF7THRkHwT+0FKqXBQixP2CWaXlOj4Y8omgZGbFbsb+\\u002fdHNSYrvBv5r5sFIoa8u\\u002foDPUjSoC07+77rFTAuHYvyWfqFmrXt+\\u002fq\\u002fGD+iY247\\u002fd+0Q9gezmv3V\\u002fBLCEqOq\\u002f\\u002fAvdJegx7r9V5CP3MKTwv7w3OA1y1vG\\u002fi9yCYhiW8r+gork9LtTyv1qDc7FJj\\u002fK\\u002fsyaWB6fT8b\\u002fw3f59Z7jwv0\\u002fnNvmBte6\\u002fB9P8KPmw678QlxGebpbovwOVWoTriuW\\u002faAI5n9Kj4r\\u002fhLRoZMNLfvyfW3Qz0stq\\u002fhekrXsfd1b9rctkVXUPRv5ifnJBLqcm\\u002fLF7THRkHwb\\u002fOFKqXBQixv8cwD9t666C8k2gZGbFbsT+wdHNSYrvBP5b5sFIoa8s\\u002fnTPUjSoC0z+x7rFTAuHYPyOfqFmrXt8\\u002fqvGD+iY24z\\u002fZ+0Q9gezmP3R\\u002fBLCEqOo\\u002f+wvdJegx7j9T5CP3MKTwP7w3OA1y1vE\\u002fidyCYhiW8j+gork9LtTyP1qDc7FJj\\u002fI\\u002f+pP3\\u002fwmh8j9ihvi3q\\u002fHxP6IkMhPD3fA\\u002fmB7vNCoE7z+RxMhwLPrrP0GyHvKz0+g\\u002fPQaGQE+55T\\u002fSzV+zhMPiPwupADnI+N8\\u002f7P9jtyPH2j8Ke9mLyeXVP2stULYvRNE\\u002ffW6CB6GjyT+3XU3g\\u002fP7AP\\u002ffedLAB+7A\\u002f9j0x\\u002fM91hjzQ+K\\u002f0zD+xvzD9imtwlMG\\u002fWe9snOAcy78uGATGsb\\u002fSvxrMGw4Cfdi\\u002fAZFUAJbW3r9yeV3DcuHiv1BFR7CDi+a\\u002fLfO8SmlC6r+8Pk9X8M\\u002ftv1wtdgpbevC\\u002fAHMK73u48b9VBE\\u002fzd4fyv2FdH45I1vK\\u002f+pP3\\u002fwmh8r9ihvi3q\\u002fHxv6IkMhPD3fC\\u002fmx7vNCoE77+UxMhwLPrrv0CyHvKz0+i\\u002fPQaGQE+55b\\u002fUzV+zhMPivwupADnI+N+\\u002f7P9jtyPH2r8Oe9mLyeXVv3MtULYvRNG\\u002fgG6CB6Gjyb+9XU3g\\u002fP7AvxHfdLAB+7C\\u002feO4k\\u002fVvYoLzA+K\\u002f0zD+xPyL9imtwlME\\u002fVu9snOAcyz8qGATGsb\\u002fSPxHMGw4Cfdg\\u002f\\u002fZBUAJbW3j9weV3DcuHiP0tFR7CDi+Y\\u002fLfO8SmlC6j+7Pk9X8M\\u002ftP1otdgpbevA\\u002fAHMK73u48T9VBE\\u002fzd4fyP2FdH45I1vI\\u002f+pP3\\u002fwmh8j\\u002fTxBU4TLHyP8aQIR9CD\\u002fI\\u002fe4LmSOwD8T8BWI2hvVbvP4Zi2SL8SOw\\u002fScO9GmEX6T8ib+Vd\\u002fe3lP54qq5C06OI\\u002fkk397QoU4D+m5mcqveHaP4Tml8ZO8tU\\u002fsU5ZsCVI0T8Hs6+gYqLJP2pQzJ30+cA\\u002ft5ZMp4fxsD+4sV8w\\u002fWGGPCAOEPEyKbG\\u002f2914UMlzwb9WWaSPJtnKv98aCQN2hNK\\u002fELmYXGsh2L8PAtrBy1bevwNjvtcZkOK\\u002fa0l1BXks5r+YWhAeetzpvxMLqwVMbO2\\u002fxiZ3hN5O8L9K\\u002fcVBTZjxv3+ga+5pdvK\\u002fA+5nhDLW8r\\u002fTxBU4TLHyv8iQIR9CD\\u002fK\\u002ffILmSOwD8b8CWI2hvVbvv4hi2SL8SOy\\u002fScO9GmEX6b8jb+Vd\\u002fe3lv6Aqq5C06OK\\u002fkk397QoU4L+q5mcqveHav4nml8ZO8tW\\u002fuU5ZsCVI0b8Ks6+gYqLJv3BQzJ30+cC\\u002f0ZZMp4fxsL9KxUfkfcmgvBAOEPEyKbE\\u002fzN14UMlzwT9SWaSPJtnKP90aCQN2hNI\\u002fBbmYXGsh2D8MAtrBy1bePwJjvtcZkOI\\u002fZ0l1BXks5j+XWhAeetzpPw4LqwVMbO0\\u002fxCZ3hN5O8D9K\\u002fcVBTZjxP3+ga+5pdvI\\u002fBO5nhDLW8j\\u002fUxBU4TLHyP9o\\u002fZ3Giv\\u002fI\\u002f\\u002f9lKUNor8j\\u002f5NulvRSrxP91UPUQUrO8\\u002fToLhMHqc7D9okxJL1GDpP7+omzSbKOY\\u002fYkEBqzgT4z8EGWwx+S\\u002fgPyUvzamcAts\\u002f5aAxnSID1j+WfNeN+U7RPzPLrV34pMk\\u002fCeG8onj3wD\\u002fMwpMC7OqwP98i\\u002fQnJUoY8XQqaNQIXsb+QPivcj1jBv8hF5w\\u002fknsq\\u002fMul0af9P0r87Uw7xDs7XvyXUUIGK392\\u002fUXna9HNC4r+9J2m248\\u002flv79PmDVMd+m\\u002ffblksYcH7b\\u002fL8yNA8CHwvwSECCn9dfG\\u002fY0ORAd1i8r9\\u002fozTQq9Pyv9o\\u002fZ3Giv\\u002fK\\u002fANpKUNor8r\\u002f5NulvRSrxv95UPUQUrO+\\u002fUYLhMHqc7L9nkxJL1GDpv7+omzSbKOa\\u002fY0EBqzgT478EGWwx+S\\u002fgvycvzamcAtu\\u002f6qAxnSID1r+ffNeN+U7RvzfLrV34pMm\\u002fEOG8onj3wL\\u002fmwpMC7OqwvyfafccWvqC8TQqaNQIXsT+CPivcj1jBP8RF5w\\u002fknso\\u002fMOl0af9P0j8yUw7xDs7XPyLUUIGK390\\u002fT3na9HNC4j+4J2m248\\u002flP75PmDVMd+k\\u002feLlksYcH7T\\u002fJ8yNA8CHwPwSECCn9dfE\\u002fY0ORAd1i8j9\\u002fozTQq9PyP9o\\u002fZ3Giv\\u002fI\\u002fveewgbnL8j+nBuyp\\u002f0byPzSFW\\u002fdIUPE\\u002fWb3Co5UB8D9NFJ7j0vPsP8PY7AiAr+k\\u002fp5IKp+Jo5j\\u002fp8qpOAEPjP2pCUts4UOA\\u002f0vSjyNsp2z8KtBgfSRjWP0tJLGiUWNE\\u002f2OBRyQ+ryT89fsfwLvfAPw+Bw4ev5rA\\u002f0E\\u002fjX1tHhjzt5K5veQixv6P7b\\u002ff4QcG\\u002f9Pj6WgZtyr\\u002f2h4ivyiHSvwZ5bA2mgte\\u002fVCi4vvRw3b8BNrJrzvjhvy6\\u002f07BCduW\\u002flnsPsngT6b+GNkKmOqLsv+BI51yb5++\\u002fqmjVSK9R8b843J5n0Uzyv+PVOgqLzvK\\u002fveewgbnL8r+oBuyp\\u002f0byvzOFW\\u002fdIUPG\\u002fWb3Co5UB8L9RFJ7j0vPsv8PY7AiAr+m\\u002fp5IKp+Jo5r\\u002fs8qpOAEPjv2pCUts4UOC\\u002f0\\u002fSjyNsp278PtBgfSRjWv1NJLGiUWNG\\u002f3OBRyQ+ryb9DfsfwLvfAvymBw4ev5rC\\u002f23vqh4S1oLze5K5veQixP5b7b\\u002ff4QcE\\u002f8Pj6WgZtyj\\u002fzh4ivyiHSP\\u002fx4bA2mgtc\\u002fUSi4vvRw3T8BNrJrzvjhPyq\\u002f07BCduU\\u002flHsPsngT6T+FNkKmOqLsP9xI51yb5+8\\u002fqWjVSK9R8T843J5n0UzyP+TVOgqLzvI\\u002fveewgbnL8j\\u002fNJ8klVdXyPzbBo\\u002fFVYPI\\u002fGFy6XId18T+cgWOAkC3wP8FlCxxHTu0\\u002fdHKnhuIC6j8F\\u002f7ntlq7mP701MXkHeOM\\u002f8yaZ8uV04D\\u002frpcVvv1fbP76gL8jxMdY\\u002ftTKm4ARl0T8R65QPkLTJP28elYTk+MA\\u002fsRojoHrksD98EbJnDz+GPM5qUQL6\\u002fLC\\u002f5ZNjv1Ivwb9vwX8HjELKv05QTRZS+dG\\u002fvPOlkto+17\\u002fcDmkiFgvdv0ybaUJss+G\\u002f1clY5Q8g5b91WgaSmrHov2uZhy0EPey\\u002fvH9Er3WJ7781b\\u002f\\u002fSkCvxv+wdiwdVNPK\\u002f3TH\\u002fcbnG8r\\u002fNJ8klVdXyvzfBo\\u002fFVYPK\\u002fF1y6XId18b+egWOAkC3wv8VlCxxHTu2\\u002fdXKnhuIC6r8F\\u002f7ntlq7mv8E1MXkHeOO\\u002f8yaZ8uV04L\\u002ftpcVvv1fbv8SgL8jxMda\\u002fvTKm4ARl0b8W65QPkLTJv3YelYTk+MC\\u002fyxojoHrksL8djcWNS6+gvL9qUQL6\\u002fLA\\u002f2JNjv1IvwT9rwX8HjELKP0tQTRZS+dE\\u002fs\\u002fOlkto+1z\\u002faDmkiFgvdP0ubaUJss+E\\u002f0clY5Q8g5T90WgaSmrHoP2qZhy0EPew\\u002fuH9Er3WJ7z81b\\u002f\\u002fSkCvxP+wdiwdVNPI\\u002f3TH\\u002fcbnG8j\\u002fNJ8klVdXyP5XEP+NL3PI\\u002f1eTHuJV38j\\u002fi6jxKpJnxP2OsZ+yXWfA\\u002fRISGWSar7T\\u002frBwd1fVrqP0a8AQl6+eY\\u002fcTi9EUuy4z+o0rJdI57gPynrPoiljNs\\u002fwXvIL2pQ1j\\u002fvn6wYdnTRP2qa3BeOwck\\u002fSWKyK4b8wD9yaCVgF+SwP1odpuFuOYY88W1UxQf0sL8HDBHwByDBv+\\u002fBpAyOHsq\\u002fHZLp6xPW0b+ReHz3TALXvx4neCDmrdy\\u002fBihZQ4Vy4b8p6IKZvc3kv6pM+1hLUui\\u002fKWu3MIjY679oYycLASrvv2SqJRvWA\\u002fG\\u002feG6QJ4AZ8r+TFLHsLrzyv5XEP+NL3PK\\u002f1uTHuJV38r\\u002fh6jxKpJnxv2SsZ+yXWfC\\u002fSoSGWSar7b\\u002frBwd1fVrqv0a8AQl6+ea\\u002fdDi9EUuy47+o0rJdI57gvyvrPoiljNu\\u002fxnvIL2pQ1r\\u002f4n6wYdnTRv26a3BeOwcm\\u002fUGKyK4b8wL+MaCVgF+SwvwOWPCkTq6C84m1UxQf0sD\\u002f5CxHwByDBP+rBpAyOHso\\u002fGZLp6xPW0T+IeHz3TALXPxwneCDmrdw\\u002fBShZQ4Vy4T8k6IKZvc3kP6lM+1hLUug\\u002fKGu3MIjY6z9kYycLASrvP2SqJRvWA\\u002fE\\u002fd26QJ4AZ8j+TFLHsLrzyP5XEP+NL3PI\\u002fgDByN4Pg8j9Q3GiUiIzyPx0IxVdTvPE\\u002fwVINclSF8D8JHYdjyQnuP8t5fmbPteo\\u002fr5Q0MkRJ5z9UGmb4vvHjP+JlBA8RzOA\\u002f1WZgj\\u002fTI2z8PrEQ4EnTWP9vdwf4nh9E\\u002frjZBuELSyT8vdfBrGgLBP2C\\u002fCLpr5bA\\u002fnqJ8wCs2hjyUD75RRu2wv5oFihagE8G\\u002fLLAK90MAyr8ZKl93lrfRv1\\u002fPCAaYzNa\\u002ftbdUzUhZ3L\\u002fpTuIrRDbhvy\\u002fZNL6yf+S\\u002fvsTSxh72578yugBpa3Xrv71Y11PVye6\\u002fFA3z4Lja8L+evv0Qc\\u002fzxv\\u002fyVQ8nurvK\\u002fgDByN4Pg8r9Q3GiUiIzyvx0IxVdTvPG\\u002fwVINclSF8L8LHYdjyQnuv8t5fmbPteq\\u002fr5Q0MkRJ579XGmb4vvHjv+NlBA8RzOC\\u002f2GZgj\\u002fTI278VrEQ4EnTWv+Tdwf4nh9G\\u002fsTZBuELSyb82dfBrGgLBv3m\\u002fCLpr5bC\\u002f9nld0KCooLyFD75RRu2wP4wFihagE8E\\u002fKLAK90MAyj8YKl93lrfRP1bPCAaYzNY\\u002fs7dUzUhZ3D\\u002fnTuIrRDbhPyrZNL6yf+Q\\u002fvsTSxh725z8wugBpa3XrP7lY11PVye4\\u002fEw3z4Lja8D+evv0Qc\\u002fzxP\\u002fyVQ8nurvI\\u002fgDByN4Pg8j9Vzh6K7OHyPyqPcKMFn\\u002fI\\u002f1shW2FTd8T\\u002fRJ+tpd7DwP3t24y+Oae4\\u002fGSQndU8U6z8mHmcsnp3nP+noM+1GNuQ\\u002fBficiMT+4D+qcBGmDg3cPy+R5t1SndY\\u002fm5cdvWmd0T9ysdhKBOfJP\\u002fjxdYi9CcE\\u002f9fiXHXXosD+fLogVGjWGPOX4lx116LC\\u002f8PF1iL0Jwb9vsdhKBOfJv5WXHb1pndG\\u002fKpHm3VKd1r+ncBGmDg3cvwD4nIjE\\u002fuC\\u002f5egz7UY25L8kHmcsnp3nvxQkJ3VPFOu\\u002feHbjL45p7r\\u002fRJ+tpd7Dwv9bIVthU3fG\\u002fKo9wowWf8r9Vzh6K7OHyvyyPcKMFn\\u002fK\\u002f18hW2FTd8b\\u002fSJ+tpd7Dwv3924y+Oae6\\u002fGCQndU8U678nHmcsnp3nv+zoM+1GNuS\\u002fBficiMT+4L+scBGmDg3cvzSR5t1Snda\\u002fo5cdvWmd0b92sdhKBOfJv\\u002f\\u002fxdYi9CcG\\u002fD\\u002fmXHXXosL\\u002f3IiaQ06egvNX4lx116LA\\u002f4vF1iL0JwT9rsdhKBOfJP5OXHb1pndE\\u002fIpHm3VKd1j+kcBGmDg3cP\\u002f\\u002f3nIjE\\u002fuA\\u002f4Ogz7UY25D8lHmcsnp3nPxIkJ3VPFOs\\u002fdHbjL45p7j\\u002fRJ+tpd7DwP9bIVthU3fE\\u002fKY9wowWf8j9Vzh6K7OHyP4AwcjeD4PI\\u002f\\u002fJVDye6u8j+evv0Qc\\u002fzxPxQN8+C42vA\\u002fwljXU9XJ7j83ugBpa3XrP8DE0sYe9uc\\u002fM9k0vrJ\\u002f5D\\u002fsTuIrRDbhP7i3VM1IWdw\\u002fY88IBpjM1j8fKl93lrfRPzCwCvdDAMo\\u002fogWKFqATwT+lD75RRu2wP56ifMArNoY8T78IumvlsL8ndfBrGgLBv6o2QbhC0sm\\u002f1d3B\\u002fieH0b8LrEQ4EnTWv9NmYI\\u002f0yNu\\u002f32UEDxHM4L9RGmb4vvHjv62UNDJESee\\u002fx3l+Zs+16r8FHYdjyQnuv8FSDXJUhfC\\u002fHAjFV1O88b9Q3GiUiIzyv4AwcjeD4PK\\u002f\\u002fZVDye6u8r+evv0Qc\\u002fzxvxUN8+C42vC\\u002fxFjXU9XJ7r82ugBpa3Xrv8DE0sYe9ue\\u002fNtk0vrJ\\u002f5L\\u002ftTuIrRDbhv7q3VM1IWdy\\u002fac8IBpjM1r8oKl93lrfRvzKwCvdDAMq\\u002fqQWKFqATwb++D75RRu2wv\\u002fZ5XdCgqKC8QL8IumvlsD8adfBrGgLBP6c2QbhC0sk\\u002f093B\\u002fieH0T8DrEQ4EnTWP9FmYI\\u002f0yNs\\u002f3WUEDxHM4D9MGmb4vvHjP62UNDJESec\\u002fxHl+Zs+16j8BHYdjyQnuP8BSDXJUhfA\\u002fHAjFV1O88T9Q3GiUiIzyP4AwcjeD4PI\\u002flcQ\\u002f40vc8j+TFLHsLrzyP3pukCeAGfI\\u002fZaolG9YD8T9rYycLASrvPzBrtzCI2Os\\u002fq0z7WEtS6D8s6IKZvc3kPwooWUOFcuE\\u002fICd4IOat3D+VeHz3TALXPyKS6esT1tE\\u002f8MGkDI4eyj8QDBHwByDBPwFuVMUH9LA\\u002fWh2m4W45hjxiaCVgF+Swv0BisiuG\\u002fMC\\u002faZrcF47Byb\\u002frn6wYdnTRv717yC9qUNa\\u002fJus+iKWM27+j0rJdI57gv244vRFLsuO\\u002fRbwBCXr55r\\u002fnBwd1fVrqv0GEhlkmq+2\\u002fYqxn7JdZ8L\\u002fh6jxKpJnxv9Xkx7iVd\\u002fK\\u002flcQ\\u002f40vc8r+TFLHsLrzyv3lukCeAGfK\\u002fZqolG9YD8b9wYycLASrvvzBrtzCI2Ou\\u002fqkz7WEtS6L8w6IKZvc3kvwooWUOFcuG\\u002fIyd4IOat3L+aeHz3TALXvyuS6esT1tG\\u002f9MGkDI4eyr8XDBHwByDBvxtuVMUH9LC\\u002fA5Y8KROroLxTaCVgF+SwPzJisiuG\\u002fMA\\u002fZJrcF47ByT\\u002fon6wYdnTRP7V7yC9qUNY\\u002fJus+iKWM2z+i0rJdI57gP2k4vRFLsuM\\u002fRLwBCXr55j\\u002fkBwd1fVrqPz6Ehlkmq+0\\u002fYqxn7JdZ8D\\u002fg6jxKpJnxP9Tkx7iVd\\u002fI\\u002flcQ\\u002f40vc8j\\u002fNJ8klVdXyP94x\\u002f3G5xvI\\u002f7h2LB1U08j81b\\u002f\\u002fSkCvxP79\\u002fRK91ie8\\u002fcJmHLQQ97D92WgaSmrHoP9rJWOUPIOU\\u002fUZtpQmyz4T\\u002ffDmkiFgvdP8DzpZLaPtc\\u002fVFBNFlL50T9xwX8HjELKP++TY79SL8E\\u002f3WpRAvr8sD99EbJnDz+GPKIaI6B65LC\\u002fZh6VhOT4wL8Q65QPkLTJv7EypuAEZdG\\u002fuqAvyPEx1r\\u002fopcVvv1fbv\\u002fAmmfLldOC\\u002fuTUxeQd4478E\\u002f7ntlq7mv3Fyp4biAuq\\u002fvmULHEdO7b+cgWOAkC3wvxdculyHdfG\\u002fNcGj8VVg8r\\u002fNJ8klVdXyv94x\\u002f3G5xvK\\u002f7R2LB1U08r82b\\u002f\\u002fSkCvxv8N\\u002fRK91ie+\\u002fcJmHLQQ97L92WgaSmrHov93JWOUPIOW\\u002fUZtpQmyz4b\\u002fhDmkiFgvdv8bzpZLaPte\\u002fXVBNFlL50b92wX8HjELKv\\u002fWTY79SL8G\\u002f+WpRAvr8sL8djcWNS6+gvJMaI6B65LA\\u002fWR6VhOT4wD8N65QPkLTJP60ypuAEZdE\\u002fs6AvyPEx1j\\u002fnpcVvv1fbP+4mmfLldOA\\u002ftTUxeQd44z8D\\u002f7ntlq7mP25yp4biAuo\\u002fu2ULHEdO7T+cgWOAkC3wPxdculyHdfE\\u002fNMGj8VVg8j\\u002fNJ8klVdXyP7znsIG5y\\u002fI\\u002f4tU6CovO8j853J5n0UzyP6lo1UivUfE\\u002f30jnXJvn7z+INkKmOqLsP5V7D7J4E+k\\u002fMb\\u002fTsEJ25T8FNrJrzvjhP1QouL70cN0\\u002fCHlsDaaC1z\\u002f7h4ivyiHSP\\u002fT4+loGbco\\u002fq\\u002ftv9\\u002fhBwT\\u002f85K5veQixP81P419bR4Y8\\u002fYDDh6\\u002fmsL8zfsfwLvfAv9XgUckPq8m\\u002fREksaJRY0b8FtBgfSRjWv830o8jbKdu\\u002fZEJS2zhQ4L\\u002fj8qpOAEPjv6SSCqfiaOa\\u002fvtjsCICv6b9IFJ7j0vPsv1e9wqOVAfC\\u002fL4Vb90hQ8b+lBuyp\\u002f0byv7znsIG5y\\u002fK\\u002f49U6CovO8r843J5n0Uzyv6lo1UivUfG\\u002f40jnXJvn77+HNkKmOqLsv5V7D7J4E+m\\u002fNL\\u002fTsEJ25b8GNrJrzvjhv1YouL70cN2\\u002fDnlsDaaC178CiIivyiHSv\\u002fj4+loGbcq\\u002fsvtv9\\u002fhBwb8V5a5veQixv9p76oeEtaC87oDDh6\\u002fmsD8mfsfwLvfAP9DgUckPq8k\\u002fQUksaJRY0T\\u002f9sxgfSRjWP8r0o8jbKds\\u002fZEJS2zhQ4D\\u002ff8qpOAEPjP6OSCqfiaOY\\u002fu9jsCICv6T9EFJ7j0vPsP1e9wqOVAfA\\u002fL4Vb90hQ8T+kBuyp\\u002f0byP7znsIG5y\\u002fI\\u002f2j9ncaK\\u002f8j9\\u002fozTQq9PyP2NDkQHdYvI\\u002fBIQIKf118T\\u002fL8yNA8CHwP4G5ZLGHB+0\\u002fwE+YNUx36T\\u002fBJ2m248\\u002flP1V52vRzQuI\\u002fKNRQgYrf3T8\\u002fUw7xDs7XPzrpdGn\\u002fT9I\\u002fykXnD+Seyj+aPivcj1jBP24KmjUCF7E\\u002f3yL9CclShjy8wpMC7OqwvwLhvKJ498C\\u002fMcutXfikyb+SfNeN+U7Rv+GgMZ0iA9a\\u002fIy\\u002fNqZwC278AGWwx+S\\u002fgv11BAas4E+O\\u002fvqibNJso5r9jkxJL1GDpv0uC4TB6nOy\\u002f3VQ9RBSs77\\u002f4NulvRSrxv\\u002f\\u002fZSlDaK\\u002fK\\u002f2j9ncaK\\u002f8r+AozTQq9Pyv2JDkQHdYvK\\u002fBYQIKf118b\\u002fN8yNA8CHwv4C5ZLGHB+2\\u002fwE+YNUx36b\\u002fEJ2m248\\u002flv1V52vRzQuK\\u002fKdRQgYrf3b9GUw7xDs7Xv0PpdGn\\u002fT9K\\u002f0EXnD+Seyr+hPivcj1jBv4cKmjUCF7G\\u002fJ9p9xxa+oLyswpMC7OqwP\\u002fTgvKJ498A\\u002fLMutXfikyT+PfNeN+U7RP9qgMZ0iA9Y\\u002fIC\\u002fNqZwC2z\\u002f\\u002fGGwx+S\\u002fgP1lBAas4E+M\\u002fvaibNJso5j9gkxJL1GDpP0aC4TB6nOw\\u002f3VQ9RBSs7z\\u002f3NulvRSrxP\\u002f7ZSlDaK\\u002fI\\u002f2j9ncaK\\u002f8j\\u002fTxBU4TLHyPwTuZ4Qy1vI\\u002fgKBr7ml28j9K\\u002fcVBTZjxP8gmd4TeTvA\\u002fFwurBUxs7T+ZWhAeetzpP3BJdQV5LOY\\u002fB2O+1xmQ4j8QAtrBy1bePxS5mFxrIdg\\u002f5RoJA3aE0j9aWaSPJtnKP+PdeFDJc8E\\u002fMQ4Q8TIpsT+4sV8w\\u002fWGGPKiWTKeH8bC\\u002fYVDMnfT5wL8Fs6+gYqLJv6xOWbAlSNG\\u002fgOaXxk7y1b+k5mcqveHav45N\\u002fe0KFOC\\u002fmiqrkLTo4r8gb+Vd\\u002fe3lv0XDvRphF+m\\u002fgmLZIvxI7L8BWI2hvVbvv3mC5kjsA\\u002fG\\u002fxJAhH0IP8r\\u002fTxBU4TLHyvwXuZ4Qy1vK\\u002fgKBr7ml28r9L\\u002fcVBTZjxv8kmd4TeTvC\\u002fFgurBUxs7b+ZWhAeetzpv3NJdQV5LOa\\u002fCWO+1xmQ4r8UAtrBy1bevxq5mFxrIdi\\u002f7xoJA3aE0r9eWaSPJtnKv+rdeFDJc8G\\u002fSw4Q8TIpsb9KxUfkfcmgvJmWTKeH8bA\\u002fU1DMnfT5wD8Cs6+gYqLJP6lOWbAlSNE\\u002feOaXxk7y1T+k5mcqveHaP41N\\u002fe0KFOA\\u002flyqrkLTo4j8hb+Vd\\u002fe3lP0TDvRphF+k\\u002ffmLZIvxI7D8BWI2hvVbvP3mC5kjsA\\u002fE\\u002fxJAhH0IP8j\\u002fTxBU4TLHyP\\u002fqT9\\u002f8JofI\\u002fYV0fjkjW8j9WBE\\u002fzd4fyP\\u002f9yCu97uPE\\u002fXS12Clt68D\\u002fAPk9X8M\\u002ftPy7zvEppQuo\\u002fVUVHsIOL5j93eV3DcuHiPwSRVACW1t4\\u002fIcwbDgJ92D80GATGsb\\u002fSP1zvbJzgHMs\\u002fOf2Ka3CUwT\\u002fg+K\\u002f0zD+xP\\u002fY9MfzPdYY85950sAH7sL+vXU3g\\u002fP7Av3puggeho8m\\u002fZi1Qti9E0b8Ge9mLyeXVv+n\\u002fY7cjx9q\\u002fAqkAOcj437\\u002fOzV+zhMPivzwGhkBPueW\\u002fO7Ie8rPT6L+PxMhwLPrrv5ge7zQqBO+\\u002foCQyE8Pd8L9hhvi3q\\u002fHxv\\u002fqT9\\u002f8JofK\\u002fYV0fjkjW8r9VBE\\u002fzd4fyvwBzCu97uPG\\u002fXi12Clt68L\\u002fDPk9X8M\\u002ftvzDzvEppQuq\\u002fWEVHsIOL5r94eV3DcuHivwaRVACW1t6\\u002fJcwbDgJ92L89GATGsb\\u002fSv2DvbJzgHMu\\u002fQP2Ka3CUwb\\u002f6+K\\u002f0zD+xv3juJP1b2KC82N50sAH7sD+hXU3g\\u002fP7AP3duggeho8k\\u002fYi1Qti9E0T\\u002f+etmLyeXVP+b\\u002fY7cjx9o\\u002fAakAOcj43z\\u002fKzV+zhMPiPzwGhkBPueU\\u002fO7Ie8rPT6D+KxMhwLPrrP5ge7zQqBO8\\u002foCQyE8Pd8D9ghvi3q\\u002fHxP\\u002fqT9\\u002f8JofI\\u002fWoNzsUmP8j+gork9LtTyP4zcgmIYlvI\\u002fvTc4DXLW8T9W5CP3MKTwPwEM3SXoMe4\\u002feH8EsISo6j\\u002fj+0Q9gezmP7Hxg\\u002fomNuM\\u002fKp+oWate3z\\u002fD7rFTAuHYP6kz1I0qAtM\\u002foPmwUihryz\\u002fKdHNSYrvBP7VoGRmxW7E\\u002fYpZpeU6PhjymFKqXBQixvx5e0x0ZB8G\\u002flJ+ckEupyb9fctkVXUPRv3\\u002fpK17H3dW\\u002fJdbdDPSy2r\\u002fbLRoZMNLfv2MCOZ\\u002fSo+K\\u002fApVahOuK5b8PlxGebpbovwHT\\u002fCj5sOu\\u002fTec2+YG17r\\u002fx3f59Z7jwv7Mmlgen0\\u002fG\\u002fWoNzsUmP8r+gork9LtTyv4vcgmIYlvK\\u002fvjc4DXLW8b9Z5CP3MKTwvwEM3SXoMe6\\u002feH8EsISo6r\\u002fn+0Q9gezmv7Lxg\\u002fomNuO\\u002fLZ+oWate37\\u002fI7rFTAuHYv7Iz1I0qAtO\\u002fo\\u002fmwUihry7\\u002fRdHNSYrvBv9BoGRmxW7G\\u002fyTAP23rroLyWFKqXBQixPxFe0x0ZB8E\\u002fkJ+ckEupyT9cctkVXUPRP3jpK17H3dU\\u002fJNbdDPSy2j\\u002fbLRoZMNLfP18COZ\\u002fSo+I\\u002fApVahOuK5T8NlxGebpboP\\u002f3S\\u002fCj5sOs\\u002fTec2+YG17j\\u002fv3f59Z7jwP7Imlgen0\\u002fE\\u002fWoNzsUmP8j+NsmXYlnzyPz1JWKg+0PI\\u002fKFDHDXKi8j8AljEpKPLxPwv9Txo2zPA\\u002frTQuErSR7j+UQICSPA7rP28Eof3rTuc\\u002fUHSxTdON4z\\u002fKzganrO7fP4\\u002fwOaN6Tdk\\u002f3v6eB0JM0z+Q+F\\u002f6BMXLP\\u002fWaemaD6cE\\u002fAy9pjdh9sT9sKZRCt6+GPH9HzcBsGbG\\u002fkX3kTQMTwb8zeRsaSbTJvx2pby8pRtG\\u002fKhtN6L\\u002fa1b8JXh0onqXavzA8T9HBtN+\\u002fQIkSguuJ4r+gvp2MS2Plv3mWlvlOYOi\\u002fl+DqIm9u679D+rgHFGzuv2t2ZhyQlPC\\u002ffuJs3+C18b+NsmXYlnzyvz5JWKg+0PK\\u002fKFDHDXKi8r8AljEpKPLxvw79Txo2zPC\\u002frDQuErSR7r+UQICSPA7rv3MEof3rTue\\u002fUnSxTdON47\\u002fNzganrO7fv5PwOaN6Tdm\\u002f6P6eB0JM07+U+F\\u002f6BMXLv\\u002fyaemaD6cG\\u002fHS9pjdh9sb8QH+9xyQOhvHBHzcBsGbE\\u002fhH3kTQMTwT8weRsaSbTJPxupby8pRtE\\u002fIxtN6L\\u002fa1T8IXh0onqXaPy48T9HBtN8\\u002fPIkSguuJ4j+gvp2MS2PlP3iWlvlOYOg\\u002fk+DqIm9u6z9D+rgHFGzuP2p2ZhyQlPA\\u002ffeJs3+C18T+NsmXYlnzyP\\u002fZ07uWbafI\\u002fmSgCYPLK8j8jJ3upxKzyP6P7BoypC\\u002fI\\u002fIJmk\\u002fkzy8D8MCHLw4+7uP6eraysHc+s\\u002f6K6mvDqy5z8mfFOsB+jjP\\u002fLsirIJQ+A\\u002f3afQE0\\u002fC2T9oiL5QOJ7TP8cgoT9aK8w\\u002fsq3NbbEfwj936IegSaexP9K3rlFx2IY8Za802jswsb\\u002fkfT9hqCPBvx\\u002fUKX7Txcm\\u002fvDylO0lN0b89soI\\u002fdN3Vv7PbgIfnn9q\\u002fwuMXNUyh379IhT3TR3biv2iFvOgOQ+W\\u002fupWeQDQy6L9XpjH\\u002fuzPrvxSszqhVKe6\\u002f+N\\u002f7bAtz8L9\\u002fa6e0Ipnxv\\u002fZ07uWbafK\\u002fmigCYPLK8r8iJ3upxKzyv6P7BoypC\\u002fK\\u002fIZmk\\u002fkzy8L8LCHLw4+7uv6eraysHc+u\\u002f7a6mvDqy578nfFOsB+jjv\\u002fTsirIJQ+C\\u002f46fQE0\\u002fC2b9yiL5QOJ7Tv8ogoT9aK8y\\u002fuq3NbbEfwr+S6IegSaexv90JQ\\u002f1UIqG8Va802jswsT\\u002fXfT9hqCPBPxzUKX7Txck\\u002fujylO0lN0T80soI\\u002fdN3VP7DbgIfnn9o\\u002fwOMXNUyh3z9EhT3TR3biP2iFvOgOQ+U\\u002fuJWeQDQy6D9SpjH\\u002fuzPrPxOszqhVKe4\\u002f+N\\u002f7bAtz8D99a6e0IpnxP\\u002fV07uWbafI\\u002fkZtuKiFX8j9CSF1L4MTyP9ID4PJqtfI\\u002fDEbyrBYj8j\\u002fU\\u002fa3LZhbxP3hOX8gYSe8\\u002fBIZ6N2HW6z9uovVm4BXoPykTRvZFROQ\\u002fCDoZZRaS4D9ArOk0MT\\u002faP7L1WV0h+NM\\u002f9ppx\\u002fNKezD98fdzas17CPwoQCgsJ2bE\\u002fgoG1qvwKhzxH9UIMm02xv9vkRscjOsG\\u002f1KdrLHTfyb+c7jNCq1nRv3ktLa3u5tW\\u002fy31Eeuyi2r8s1jJM\\u002fJjfv6njn1KOaeK\\u002fyuc1dP4q5b8Y9BmXIA3ov8KcwqMsAuu\\u002fcGw4rt3u7b8\\u002ffyvCvFTwv8ChBwlQfvG\\u002fkZtuKiFX8r9CSF1L4MTyv9ID4PJqtfK\\u002fDUbyrBYj8r\\u002fW\\u002fa3LZhbxv3dOX8gYSe+\\u002fBIZ6N2HW679yovVm4BXovysTRvZFROS\\u002fCToZZRaS4L9FrOk0MT\\u002fav7z1WV0h+NO\\u002f+ppx\\u002fNKezL+Ffdzas17CvyUQCgsJ2bG\\u002fIiEIgD1Iobw49UIMm02xP87kRscjOsE\\u002f06drLHTfyT+Z7jNCq1nRP3ItLa3u5tU\\u002fyX1Eeuyi2j8t1jJM\\u002fJjfP6Xjn1KOaeI\\u002fyuc1dP4q5T8X9BmXIA3oP72cwqMsAus\\u002fcGw4rt3u7T8\\u002ffyvCvFTwP7+hBwlQfvE\\u002fkZtuKiFX8j8HjIQICUbyP9a2W\\u002fq7vvI\\u002f\\u002fEx99Nq88j+jriGMpjjyPyMekr+EOPE\\u002fT15y1wag7z\\u002fKO1LjzjfsP0rT1EhMeeg\\u002fOjGRuAGi5D9836a2C+TgP4w6Mbaaw9o\\u002fDC+ZltxZ1D+mzEn3zR\\u002fNP06UQqwrp8I\\u002f2YyhwwgUsj8g+W1l3UiHPPQ78bbIcrG\\u002f48SPBLVXwb9mNWjA9wLKv29JCw5vbNG\\u002fLVFB0nr41b+aXVgPGLDav9yRJDhWnd+\\u002f\\u002fBGhUpFk4r+j9lr\\u002fCRzlvz5\\u002furI18ue\\u002fWiyxYCfb6r9Uz2KEW77tv5VdKcyWOvC\\u002fLFSbKGFm8b8HjIQICUbyv9W2W\\u002fq7vvK\\u002f+0x99Nq88r+jriGMpjjyvyUekr+EOPG\\u002fT15y1wag77\\u002fKO1Ljzjfsv0zT1EhMeei\\u002fOzGRuAGi5L9+36a2C+Tgv5Q6Mbaaw9q\\u002fFy+ZltxZ1L+qzEn3zR\\u002fNv1aUQqwrp8K\\u002f9YyhwwgUsr\\u002fXehIMpnahvOU78bbIcrE\\u002f1sSPBLVXwT9jNWjA9wLKP2tJCw5vbNE\\u002fJlFB0nr41T+XXVgPGLDaP9uRJDhWnd8\\u002f+BGhUpFk4j+j9lr\\u002fCRzlPz1\\u002furI18uc\\u002fVSyxYCfb6j9Vz2KEW77tP5VdKcyWOvA\\u002fK1SbKGFm8T8HjIQICUbyP1yCyh5JN\\u002fI\\u002fa7WMClG58j9TCDblo8PyP+scjICmTPI\\u002fVMkT+LhY8T+97cl3d\\u002fPvP16UO1fdluw\\u002fLYLTV+vb6D+pTrdXoQDlP4QyvkRiOOE\\u002fFvI3AcxO2z9R\\u002f37lD8PUP80yGtVOrs0\\u002fe\\u002fFjf4T5wj8\\u002fUM3LFVmyP+3bUGqCk4c8vAOROAehsb9Bj5Ber33BvxGlni1YMsq\\u002fjlluxdiG0b91lLvFlRPWvzAt+kQSydq\\u002fJrJvyiKw37+AYtfnRWjiv2bBQvY\\u002fF+W\\u002fun4CFqzi578hoX5PIcDqv7GwA8KJme2\\u002fC6txtpMl8L\\u002fEg6QgW1Lxv1yCyh5JN\\u002fK\\u002fa7WMClG58r9SCDblo8Pyv+wcjICmTPK\\u002fVskT+LhY8b+97cl3d\\u002fPvv16UO1fdluy\\u002fMYLTV+vb6L+qTrdXoQDlv4YyvkRiOOG\\u002fHfI3AcxO279c\\u002f37lD8PUv9IyGtVOrs2\\u002fhfFjf4T5wr9cUM3LFVmyv\\u002fGkvM+hrqG8rAOROAehsT8zj5Ber33BPxClni1YMso\\u002filluxdiG0T9ulLvFlRPWPy0t+kQSydo\\u002fJLJvyiKw3z99YtfnRWjiP2fBQvY\\u002fF+U\\u002fuX4CFqzi5z8coX5PIcDqP7KwA8KJme0\\u002fC6txtpMl8D\\u002fDg6QgW1LxP1uCyh5JN\\u002fI\\u002fIfVoduAr8j+D7p16e7XyP64nCVhpyvI\\u002f7WxiHXhf8j8SXVs9JnfxP5DCW0ylIfA\\u002fi8nz2yTz7D8TyIOxKj3pP7JM\\u002fd+AX+U\\u002fbhvbqn6O4T8WMJ5Yz9\\u002fbP+PVnu4mM9U\\u002f5fMt\\u002fvRJzj\\u002fAqZJX6FXDPy3HBJrGqLI\\u002f4CDL5CnshzziDFDzhtmxv7\\u002fWYHNkrcG\\u002fs+wLW55vyr9cEsedParRvzgca87WOda\\u002fFZ34S6Xv2r9DTSytUtPfv\\u002fGxPle1deK\\u002fpWZcM78d5b9St\\u002fDqxN\\u002fnv8mkjgGPsuq\\u002flrJRcRyC7b9PM0wIqxbwv4KOFxxFQ\\u002fG\\u002fIfVoduAr8r+D7p16e7Xyv60nCVhpyvK\\u002f7WxiHXhf8r8UXVs9Jnfxv5HCW0ylIfC\\u002fi8nz2yTz7L8VyIOxKj3pv7RM\\u002fd+AX+W\\u002fbxvbqn6O4b8cMJ5Yz9\\u002fbv+7Vnu4mM9W\\u002f6vMt\\u002fvRJzr\\u002fKqZJX6FXDv0nHBJrGqLK\\u002fqFiYax\\u002fxobzSDFDzhtmxP7HWYHNkrcE\\u002fsewLW55vyj9aEsedParRPzEca87WOdY\\u002fFJ34S6Xv2j9ATSytUtPfP+6xPle1deI\\u002fpGZcM78d5T9Rt\\u002fDqxN\\u002fnP8WkjgGPsuo\\u002flrJRcRyC7T9PM0wIqxbwP4GOFxxFQ\\u002fE\\u002fIfVoduAr8j+cUssfyyTyP66P0igdtPI\\u002frv1TvtvR8j8C1kwAjXHyPxKrrIn+k\\u002fE\\u002fFu+KprtH8D\\u002fgj7tHS0ztPxogUCF7nOk\\u002fhapHWfa95T+xxR0ZtuXhP6FA1mGAddw\\u002fiANpr1ap1T9AbCl0+fHOPyHr4E83vMM\\u002fbvyVymsDsz9z+b3hxVOIPBGrX2NOHbK\\u002fwtuqWAvowb+A1BpDvbzKvxfdmPLr19G\\u002fU4ehUtJs1r8mAfHVmyXbv6SrP6hsBOC\\u002fQlWD1emN4r+0x\\u002fnmozDlv2ZYuza36ue\\u002fsM\\u002fpI9Gz6r9DAXbPq3ntv2sXRrvFDvC\\u002fZilroRs68b+cUssfyyTyv66P0igdtPK\\u002frf1TvtvR8r8C1kwAjXHyvxSrrIn+k\\u002fG\\u002fFu+KprtH8L\\u002fhj7tHS0ztvx4gUCF7nOm\\u002fh6pHWfa95b+yxR0ZtuXhv6dA1mGAddy\\u002fkwNpr1ap1b9EbCl0+fHOvyrr4E83vMO\\u002fi\\u002fyVymsDs78We05p1D6ivAGrX2NOHbI\\u002ftduqWAvowT9+1BpDvbzKPxTdmPLr19E\\u002fTIehUtJs1j8kAfHVmyXbP6OrP6hsBOA\\u002fP1WD1emN4j+0x\\u002fnmozDlP2VYuza36uc\\u002fq8\\u002fpI9Gz6j9DAXbPq3ntP2oXRrvFDvA\\u002fZSlroRs68T+bUssfyyTyP+TgVgH0IvI\\u002fPkUkGBG28j+JWsGTrtryP1RTqJRgg\\u002fI\\u002fVbjsIYCv8T+nMp1yBWzwP4yGcygGou0\\u002fsmsgL1X56T\\u002fnk3AkVxvmP6mNFV1UPeI\\u002fB3z3TpcO3T8xZnwRpSTWP5QzPLQzpc8\\u002fIjhU+wMsxD82mViQBGmzP5SZJrrjyog8DP1hfiJtsr\\u002fDUjt1pi7Cv0Ch77NpG8u\\u002f63aWtxAR0r9Aslhp+a3Wv3AEJFSbbNu\\u002fdIXccEEp4L9DtA9G2LHivyExkSPxUOW\\u002fIl5BwJkE6L\\u002f8z3BMHsXqvyMdIr6cge2\\u002fh8XzO7EO8L80cz56wjfxv+TgVgH0IvK\\u002fPkUkGBG28r+JWsGTrtryv1VTqJRgg\\u002fK\\u002fVbjsIYCv8b+oMp1yBWzwv4yGcygGou2\\u002ftmsgL1X56b\\u002fok3AkVxvmv6qNFV1UPeK\\u002fDXz3TpcO3b87ZnwRpSTWv5czPLQzpc+\\u002fLDhU+wMsxL9VmViQBGmzvy7znMsqmKK8+\\u002fxhfiJtsj+1Ujt1pi7CPz6h77NpG8s\\u002f5naWtxAR0j84slhp+a3WP20EJFSbbNs\\u002fdIXccEEp4D8\\u002ftA9G2LHiPyExkSPxUOU\\u002fIV5BwJkE6D\\u002f3z3BMHsXqPyMdIr6cge0\\u002fh8XzO7EO8D8zcz56wjfxP+TgVgH0IvI\\u002f2asL6SUn8j+qYPxtHbzyP2TJZd6M5fI\\u002fvVhrGnCV8j9jrGs68cnxP2qgmg+TjvA\\u002fUGl2BRz07T9HALMCPVPqP5oNlqb9duY\\u002f9RcdnqKU4j+N2ShOtqndP5zsZn7zo9Y\\u002f6H53cBIx0D\\u002fiR7avlKTEP6YZzAA42bM\\u002fYxKvv5hRiTwTZcu1ccmyv1VT7J3qgcK\\u002fYtByd\\u002fKMy7+35U+1nFbSv4I3SwJ5\\u002fta\\u002fYxTKo\\u002f3F278a39Cf5Fjgv8vmIBJJ4uK\\u002fUBT5GHl\\u002f5b9d2bqCSy7ovwnPNpxr5+q\\u002fN+Atjwib7b+9AmU\\u002fEhfwvydUoUz2PPG\\u002f2asL6SUn8r+pYPxtHbzyv2TJZd6M5fK\\u002fvVhrGnCV8r9lrGs68cnxv2qgmg+TjvC\\u002fUGl2BRz07b9LALMCPVPqv5wNlqb9dua\\u002f9hcdnqKU4r+W2ShOtqndv6jsZn7zo9a\\u002f6X53cBIx0L\\u002frR7avlKTEv8QZzAA42bO\\u002fyk3DjzL9orwCZcu1ccmyP0dT7J3qgcI\\u002fX9Byd\\u002fKMyz+z5U+1nFbSP3o3SwJ5\\u002ftY\\u002fYRTKo\\u002f3F2z8Z39Cf5FjgP8jmIBJJ4uI\\u002fUBT5GHl\\u002f5T9b2bqCSy7oPwTPNpxr5+o\\u002fN+Atjwib7T+9AmU\\u002fEhfwPyVUoUz2PPE\\u002f2asL6SUn8j+tkXMl\\u002fTHyP+pRDVrlxvI\\u002fwR7l8gzz8j9qZyOAMajyPzVkFVWa4\\u002fE\\u002f9p0hGHyv8D\\u002fHzDsiZELuP8lqPVnFqeo\\u002fsrZQak7Q5j9Ej97q7eriPz7KmY53Rd4\\u002fFTrlHQsm1z9MGuXag5PQP0HEjm7pJMU\\u002f9bzc2FNTtD8V9v8ndueJPDkYJ8tDMrO\\u002fXKVlAyriwr9HHf3fHBLMv16uaSwsqdK\\u002fwGvxyRtf17\\u002f36mPRrTLcv\\u002f\\u002fOcQrWk+C\\u002f2YrTWcIf47+L7HFHxrzlv7SWT9RcaOi\\u002f\\u002f\\u002fvvMlYb678wHKsapsbtv+OxAnpYKPC\\u002fHJJ3FT9K8b+tkXMl\\u002fTHyv+pRDVrlxvK\\u002fwB7l8gzz8r9rZyOAMajyvzZkFVWa4\\u002fG\\u002f9p0hGHyv8L\\u002fHzDsiZELuv8tqPVnFqeq\\u002fs7ZQak7Q5r9Gj97q7eriv0XKmY53Rd6\\u002fIDrlHQsm179NGuXag5PQv0rEjm7pJMW\\u002fFb3c2FNTtL+P+P+dmG2jvCcYJ8tDMrM\\u002fTaVlAyriwj9DHf3fHBLMP1quaSwsqdI\\u002fuGvxyRtf1z\\u002f16mPRrTLcP\\u002f7OcQrWk+A\\u002f1orTWcIf4z+L7HFHxrzlP7OWT9RcaOg\\u002f\\u002fPvvMlYb6z8wHKsapsbtP+OxAnpYKPA\\u002fG5J3FT9K8T+skXMl\\u002fTHyP0xEK\\u002fvaQ\\u002fI\\u002fulSOONzW8j+oU0+ZpAPzP32M5tQJvPI\\u002fi9t2ur\\u002f88T9oU9Xe287wP6QXqmDEjO4\\u002fFE1W6JD86j\\u002fY2sftuybnP4lTLbuMP+M\\u002f\\u002foKIH3rg3j+sPYlBqanXPx6vv6fx+NA\\u002fBlC+qMWrxT+Y8TzJUNa0P+tdoHuFi4o8+lhyMzCns7+U1zQwRU\\u002fDvxdpY2wJq8y\\u002fctPNVfMI07\\u002f10xW9MdDXv8c\\u002fMloLs9y\\u002ftrWw\\u002fEfa4L+zC7ymdWrjv3RPP+4HCea\\u002fHWqiefuy6L\\u002fqoc2LD2HrvwGakCi2BO6\\u002f1patTLRC8L\\u002fWuwm85F\\u002fxv0xEK\\u002fvaQ\\u002fK\\u002fuVSOONzW8r+oU0+ZpAPzv36M5tQJvPK\\u002fjtt2ur\\u002f88b9oU9Xe287wv6QXqmDEjO6\\u002fGE1W6JD86r\\u002fa2sftuybnv4pTLbuMP+O\\u002fBYOIH3rg3r+3PYlBqanXvyGvv6fx+NC\\u002fEVC+qMWrxb+48TzJUNa0v3BGuByk6KO86VhyMzCnsz+F1zQwRU\\u002fDPxRpY2wJq8w\\u002fb9PNVfMI0z\\u002fs0xW9MdDXP8c\\u002fMloLs9w\\u002ftrWw\\u002fEfa4D+wC7ymdWrjP3NPP+4HCeY\\u002fHGqiefuy6D\\u002fnoc2LD2HrPwGakCi2BO4\\u002f1patTLRC8D\\u002fVuwm85F\\u002fxP0xEK\\u002fvaQ\\u002fI\\u002fhoU3Ntxc8j9a9R03O+zyP9IVRLyeF\\u002fM\\u002fPUdsOETR8j\\u002f0uQ6dmhXyP5p0Zx3N7PA\\u002fWG1kNS3T7j\\u002ftgv3MUUvrP9VxyYzIeec\\u002fvXTHt+KR4z+J4i8ubHnfP1zhtZeKLdg\\u002flB4WVk9g0T9gmNrCvDfGP1h3k83bYLU\\u002fGbZw7k08izxIdeIcXCe0v6Gim7+jyMO\\u002fgFuzdCNXzb9AD1fDsXXTv2siEtV\\u002fUdi\\u002fUG71rNZG3b\\u002fucmLhEyzhv\\u002fxWc+4ywuO\\u002f0B9isgNk5r\\u002filhax4w3pv9fq075OuOu\\u002fDFdyGfVU7r8G0spnD2bwv2U99dzmffG\\u002fhoU3Ntxc8r9Z9R03O+zyv9EVRLyeF\\u002fO\\u002fPkdsOETR8r\\u002f2uQ6dmhXyv5p0Zx3N7PC\\u002fW21kNS3T7r\\u002fxgv3MUUvrv9hxyYzIeee\\u002fvnTHt+KR47+Q4i8ubHnfv2bhtZeKLdi\\u002flR4WVk9g0b9qmNrCvDfGv3l3k83bYLW\\u002fk4jUcjptpLw2deIcXCe0P5Oim7+jyMM\\u002ffVuzdCNXzT88D1fDsXXTP2MiEtV\\u002fUdg\\u002fTm71rNZG3T\\u002ftcmLhEyzhP\\u002fhWc+4ywuM\\u002f0B9isgNk5j\\u002fhlhax4w3pP9Pq075OuOs\\u002fC1dyGfVU7j8F0spnD2bwP2M99dzmffE\\u002fhYU3Ntxc8j8BIEDa03zyP6whYpX6BvM\\u002ftUzJtRMv8z925po2CujyPzdAkpVSLvI\\u002fSpfHPWUJ8T+HaZIAlBXvP21sHALHles\\u002fFTxuTAbJ5z9l8gdoYuHjPzYNlNOIB+A\\u002fvqTnDnSw2D+JO8p4icjRP2p0JhRAx8Y\\u002fxAtDmmPxtT81wrEf4veLPPtX316AsbS\\u002fRhzMqDVNxL\\u002f5eSuxHRXOvwpcSPOt7tO\\u002fgHjzZDni2L\\u002f2ME25KO3dv9nohA+1iOG\\u002fIFreKGIm5L+YAeT6Dc3mv+MJ9ddXeOm\\u002fXtouTEgg7L+O9CJmk7buv4tTOzIJkvC\\u002f7g2fr\\u002fij8b8BIEDa03zyv60hYpX6BvO\\u002ftEzJtRMv87935po2CujyvzhAkpVSLvK\\u002fSpfHPWUJ8b+IaZIAlBXvv29sHALHleu\\u002fFzxuTAbJ579m8gdoYuHjvzoNlNOIB+C\\u002fyKTnDnSw2L+LO8p4icjRv3R0JhRAx8a\\u002f5gtDmmPxtb+nUcWX6fmkvOhX316AsbQ\\u002fNxzMqDVNxD\\u002f2eSuxHRXOPwZcSPOt7tM\\u002feHjzZDni2D\\u002fzME25KO3dP9fohA+1iOE\\u002fHFreKGIm5D+YAeT6Dc3mP+IJ9ddXeOk\\u002fWtouTEgg7D+M9CJmk7buP4tTOzIJkvA\\u002f7A2fr\\u002fij8T8BIEDa03zyP\\u002fOWBJlKo\\u002fI\\u002f\\u002f1kISc8m8z+Zvr8V5UnzP+peDGZeAPM\\u002fKe+NMPhG8j\\u002fGtVnFryTxPwHcs3bsU+8\\u002fxSn4O7jb6z8u\\u002fB6xFBToPwTbC8WMLeQ\\u002fhStMcyNQ4D8\\u002fCWnJODHZPy7eHXuNMNI\\u002f6pBfGq1Yxz+gXVPXKIa2Pw485ev0u4w8d6dpyfZDtb9B+OcSfdvEv9XghBT84s6\\u002fbBHHkLly1L8k3XrEA4HZvyDqBUB2pN6\\u002f1FD+Kkrv4b+j2dIUBJbkv+Wf+dkJQ+e\\u002fc6FRtR\\u002fx6b8RDAGSrZfsv+8U\\u002fgs2KO+\\u002fDpyZePfF8L8SnfqSgdHxv\\u002fOWBJlKo\\u002fK\\u002f\\u002f1kISc8m87+Yvr8V5Unzv+peDGZeAPO\\u002fKu+NMPhG8r\\u002fHtVnFryTxvwHcs3bsU++\\u002fxyn4O7jb678v\\u002fB6xFBTovwbbC8WMLeS\\u002fiitMcyNQ4L9JCWnJODHZvzDeHXuNMNK\\u002f9pBfGq1Yx7\\u002fBXVPXKIa2vwrt67D3jKW8ZKdpyfZDtT8z+OcSfdvEP9LghBT84s4\\u002faBHHkLly1D8b3XrEA4HZPx7qBUB2pN4\\u002f01D+Kkrv4T+f2dIUBJbkP+Sf+dkJQ+c\\u002fcqFRtR\\u002fx6T8NDAGSrZfsP+8U\\u002fgs2KO8\\u002fDpyZePfF8D8RnfqSgdHxP\\u002fKWBJlKo\\u002fI\\u002f3G6MRYPP8j8CyYRiLUvzPy84CWu9Z\\u002fM\\u002fDyuu7xka8z96eqE2gV\\u002fyP1M17HaqPvE\\u002f41MpBCKO7z\\u002fY1mPZ8BzsP0LNFCSdWug\\u002fKlLrD+915D+Nb6\\u002fo\\u002f5XgPw3qYwq9rtk\\u002fSg2Ck0+X0j9VbHHFWurHPy3eo7RPHbc\\u002fvn+KVfOFjTzHqGGKzdy1vwZP6cGfccW\\u002fxBA1Diq+z7\\u002f90lX4PQDVv8c6BuADLNq\\u002fbL4dcp5q379pdVHknF7iv2o\\u002fkxO6D+W\\u002fNALsoXDE578pRpvEj3bqv14OHme0HO2\\u002fTHU5WP+n7799uS6P6wDxv8NidWaiBfK\\u002f3G6MRYPP8r8CyYRiLUvzvy84CWu9Z\\u002fO\\u002fDyuu7xka8798eqE2gV\\u002fyv1M17HaqPvG\\u002f41MpBCKO77\\u002fd1mPZ8Bzsv0XNFCSdWui\\u002fK1LrD+915L+Rb6\\u002fo\\u002f5XgvxjqYwq9rtm\\u002fTQ2Ck0+X0r9hbHHFWurHv1Deo7RPHbe\\u002fzt8ngHYkpryzqGGKzdy1P\\u002fZO6cGfccU\\u002fwhA1Diq+zz\\u002f50lX4PQDVP786BuADLNo\\u002fa74dcp5q3z9odVHknF7iP2g\\u002fkxO6D+U\\u002fNALsoXDE5z8oRpvEj3bqP1oOHme0HO0\\u002fTHU5WP+n7z99uS6P6wDxP8JidWaiBfI\\u002f3G6MRYPP8j9Ky\\u002fkBhADzP24RXxlPc\\u002fM\\u002fWeKzMxSI8z8lsrRd7TTzPxUf5zDHd\\u002fI\\u002fN2qitUJX8T+WGzUtEsTvP6gzks46Wew\\u002fa2AlsE6c6D+XuWqTH7rkP8Qm+COi2OA\\u002fnloIh\\u002fYn2j8zXRzIzvvSPww3mwWlesg\\u002fAlZGZvG0tz8XYzIlIVOOPHZGfcveeba\\u002f4ERoaH4Nxr8giQiDzVHQv4zkLsVPldW\\u002fnZU0U\\u002fTg2r\\u002fKihmxgR7gvyYscE4v1eK\\u002f1+YyXdSR5b9KYNWPYE\\u002fov+yRiiCYBuu\\u002fGF0zoCat7b9Hi3zozxnwv5NYcLC7QfG\\u002foxvqZT8\\u002f8r9Ky\\u002fkBhADzv20RXxlPc\\u002fO\\u002fWOKzMxSI878msrRd7TTzvxcf5zDHd\\u002fK\\u002fN2qitUJX8b+WGzUtEsTvv6wzks46Wey\\u002fbWAlsE6c6L+XuWqTH7rkv8cm+COi2OC\\u002fqloIh\\u002fYn2r81XRzIzvvSvxc3mwWlesi\\u002fJlZGZvG0t79RyuXbWL6mvGFGfcveebY\\u002f0ERoaH4Nxj8eiQiDzVHQP4jkLsVPldU\\u002flZU0U\\u002fTg2j\\u002fJihmxgR7gPyUscE4v1eI\\u002f1OYyXdSR5T9JYNWPYE\\u002foP+uRiiCYBus\\u002fFF0zoCat7T9Hi3zozxnwP5NYcLC7QfE\\u002fohvqZT8\\u002f8j9Ky\\u002fkBhADzP3PHbXMjNfM\\u002f9hC88T+e8z9\\u002fQ1KtNarzP6xWrLlkUPM\\u002fyOoBb4iP8j8ObGKRVG7xP8ik\\u002ftSI9e8\\u002fi8Y8dVqQ7D\\u002fJnH752djoP4sX2SK6+eQ\\u002f4jSWo5UX4T+fdtPq6pvaPzFwbDgXXdM\\u002ftaQqH\\u002fYHyT8PdYVDLEu4P\\u002f\\u002ffZsa1II88Q+3aU+oYt79lV5+dz6zGvxDu+fP4x9C\\u002fphP+g8cv1r\\u002f8iyHyQZ3bvySp\\u002f\\u002ftUjOC\\u002fKoVKi01R47\\u002f5spNGZRrmv79YHVix4ei\\u002f0hyZAtqe6789pBCUeEbuvyaDriQ3ZPC\\u002fKwGgBBCH8b89WNjXDX3yv3PHbXMjNfO\\u002f9hC88T+e879\\u002fQ1KtNarzv61WrLlkUPO\\u002fyeoBb4iP8r8NbGKRVG7xv8mk\\u002ftSI9e+\\u002fj8Y8dVqQ7L\\u002fKnH752djov4wX2SK6+eS\\u002f5TSWo5UX4b+rdtPq6pvavzNwbDgXXdO\\u002fwKQqH\\u002fYHyb81dYVDLEu4v\\u002f8nzVSIWKe8L+3aU+oYtz9VV5+dz6zGPw7u+fP4x9A\\u002fohP+g8cv1j\\u002f0iyHyQZ3bPyOp\\u002f\\u002ftUjOA\\u002fKoVKi01R4z\\u002f2spNGZRrmP79YHVix4eg\\u002f0ByZAtqe6z85pBCUeEbuPyWDriQ3ZPA\\u002fKwGgBBCH8T88WNjXDX3yP3PHbXMjNfM\\u002fKYXG5xhs8z9p\\u002fEcG68rzP9o2HdlNzfM\\u002fcAN0pu5r8z9eVhqLa6byP08ox7Crg\\u002fE\\u002fflKHiR8R8D9OsyMIDMLsP1pMZkPuD+k\\u002fWetBKF005T8NSYYVa1LhP\\u002fzltZStCds\\u002fNKH9G0O60z\\u002fLUqShzZDJP7bPQI4x3rg\\u002f3ub2E\\u002ffrjzzvmx\\u002fkrre3v58vjvE7Tce\\u002fc9zp\\u002f9U\\u002f0b8mr9I6Xc3Wv+rVISUsXty\\u002feIH0RC\\u002f94L+\\u002f2MpAItHjv+kwMfFXp+a\\u002fAyH05wx56b9Ljis8wjzsv7rSdxjl5e6\\u002fv\\u002fHSx8Kx8L\\u002fj8Ztucs\\u002fxvyFmtYakvfK\\u002fKYXG5xhs879p\\u002fEcG68rzv9o2HdlNzfO\\u002fcQN0pu5r879fVhqLa6byv08ox7Crg\\u002fG\\u002ff1KHiR8R8L9QsyMIDMLsv1xMZkPuD+m\\u002fWutBKF005b8RSYYVa1LhvwjmtZStCdu\\u002fNqH9G0O607\\u002fWUqShzZDJv93PQI4x3ri\\u002fJi35Tvnwp7zbmx\\u002fkrre3P5AvjvE7Tcc\\u002fctzp\\u002f9U\\u002f0T8hr9I6Xc3WP+LVISUsXtw\\u002fd4H0RC\\u002f94D+\\u002f2MpAItHjP+UwMfFXp+Y\\u002fAyH05wx56T9Ijis8wjzsP7bSdxjl5e4\\u002fv\\u002fHSx8Kx8D\\u002fj8Ztucs\\u002fxPyBmtYakvfI\\u002fKYXG5xhs8z+7JAkWDqTzP54trDQr+PM\\u002fLXHWsnXw8z\\u002fesgXO5YbzP11PGBsFvPI\\u002f6O+kDAaX8T8I5kdt7iTwP0uiZ0MD7uw\\u002fy6yDHThB6T\\u002fscEfsp2nlP16Epq+2iOE\\u002fTXO9lF1w2z\\u002ftg4sGexLUP24xJC\\u002fFE8o\\u002ftB73RVBsuT8s\\u002f0wYKFmQPDMG2TIBVLi\\u002fO7IaoHjsx7\\u002f8P1ahpbfRv86igU7Ea9e\\u002fSWpERuYg3b\\u002fo786CbW\\u002fhv8N7oSTMUuS\\u002fhkT5iog257\\u002fGzppkChPqvzJVMamm3ey\\u002fAJsW+YyI779UFyXU8gDxvyWQlP1fGfK\\u002fdgFywY3\\u002f8r+7JAkWDqTzv54trDQr+PO\\u002fLXHWsnXw87\\u002fesgXO5Ybzv2BPGBsFvPK\\u002f6e+kDAaX8b8I5kdt7iTwv06iZ0MD7uy\\u002fz6yDHThB6b\\u002fvcEfsp2nlv2GEpq+2iOG\\u002fWXO9lF1w27\\u002fvg4sGexLUv3oxJC\\u002fFE8q\\u002f3B73RVBsub\\u002fCfnMkvIWovBwG2TIBVLg\\u002fK7IaoHjsxz\\u002f6P1ahpbfRP8qigU7Ea9c\\u002fQWpERuYg3T\\u002fn786CbW\\u002fhP8J7oSTMUuQ\\u002fgUT5iog25z\\u002fGzppkChPqPzFVMamm3ew\\u002f\\u002fJoW+YyI7z9UFyXU8gDxPyWQlP1fGfI\\u002fdQFywY3\\u002f8j+7JAkWDqTzP15FJgKx2\\u002fM\\u002fytEev9sk9D+KAfFewRL0P+CsSLaboPM\\u002fHdja997P8j++EGcvGKjxP\\u002f8fL6H+NfA\\u002f3e9EPu0T7T\\u002fQViL7YWzpP1S+UXo6meU\\u002fGL9+sg+64T+6faLBJM\\u002fbP4zbRwP2ZNQ\\u002f55g1eZOPyj8Yes3L\\u002fPO5P5DCV4+xuJA8U6rQ1t7ruL\\u002fb58ayXojIv\\u002fMbeDa+LdK\\u002faUI6a8UI2L84rjFGt+Ldvx1ZDdJ14eG\\u002fu6wx9HLU5L89V7xA3MXnv\\u002fMVyVdJreq\\u002ffIbFZuR+7b\\u002fEtMLPyxXwv17hahxLUPG\\u002fKV8vwFpj8r\\u002ftGWiBWUHzv15FJgKx2\\u002fO\\u002fy9Eev9sk9L+KAfFewRL0v+GsSLaboPO\\u002fHtja997P8r+\\u002fEGcvGKjxv\\u002f8fL6H+NfC\\u002f4e9EPu0T7b\\u002fTViL7YWzpv1e+UXo6meW\\u002fHL9+sg+64b\\u002fGfaLBJM\\u002fbv47bRwP2ZNS\\u002f85g1eZOPyr9Bes3L\\u002fPO5v9ijA1cKFam8PKrQ1t7ruD\\u002fJ58ayXojIP\\u002fEbeDa+LdI\\u002fZkI6a8UI2D8urjFGt+LdPxxZDdJ14eE\\u002fu6wx9HLU5D85V7xA3MXnP\\u002fEVyVdJreo\\u002fe4bFZuR+7T\\u002fBtMLPyxXwP13hahxLUPE\\u002fKV8vwFpj8j\\u002fsGWiBWUHzP15FJgKx2\\u002fM\\u002fFO5\\u002fkcQR9D8seVHv50\\u002f0P\\u002ftz1PpNM\\u002fQ\\u002fKxNT5GO48z82lrhMgOHyPw3eDnGStvE\\u002fCgBbZhpE8D8fHlcodDPtPzj8a5MWkek\\u002fYUyuKrfC5T8oyDpDEebhPxvk1GY4Jdw\\u002fveV8\\u002ffmw1D93gVH0DQPLP9NmxHXVc7o\\u002fIweHOooTkTxcQbj9e325v3qrMOn8Hsm\\u002fTZrgBZug0r\\u002f3D45wVKLYv7JrojYVod6\\u002fIMy+vsdR4r9oO3VZWlTlv\\u002fWuOStXU+i\\u002fPet6DYtF67\\u002fFkceU\\u002fB3uvzGuJkUpZvC\\u002fsqjl02Oe8b\\u002fx7Buu+qvyv3PpdFaugfO\\u002fFO5\\u002fkcQR9L8ueVHv50\\u002f0v\\u002ftz1PpNM\\u002fS\\u002fLBNT5GO48783lrhMgOHyvw3eDnGStvG\\u002fCwBbZhpE8L8hHlcodDPtvzv8a5MWkem\\u002fYkyuKrfC5b8syDpDEebhvynk1GY4Jdy\\u002fv+V8\\u002ffmw1L+DgVH0DQPLv\\u002ftmxHXVc7q\\u002ftIrKV0+dqbxGQbj9e325P2irMOn8Hsk\\u002fS5rgBZug0j\\u002fyD45wVKLYP6lrojYVod4\\u002fH8y+vsdR4j9mO3VZWlTlP\\u002fKuOStXU+g\\u002fPet6DYtF6z\\u002fDkceU\\u002fB3uPy6uJkUpZvA\\u002fsqjl02Oe8T\\u002fw7Buu+qvyP3LpdFaugfM\\u002fFO5\\u002fkcQR9D\\u002fkXFaFLkX0P47YGWZYePQ\\u002fFjlTxE1R9D8kOJIons3zP08eN4N18PI\\u002fiJOOgCbC8T9Ec2ZaDE\\u002fwP5B\\u002f2jhETO0\\u002fR4wvjQSv6T\\u002faR0WDxeXlP6kzznxcDOI\\u002fLbF2oNtx3D9jP\\u002fK73PXUP82f48Epbcs\\u002fwOGLdKTquj8MzjucyGiRPPPbi3JLB7q\\u002fuO+tbqOuyb+6\\u002fgo85w7Tv0ro7umgNtm\\u002ffxOs5LpZ37+Hnu5uCb\\u002fiv0kwa4Xx0OW\\u002ftZNPxS7d6L\\u002f9e6dkyNnrv7yTvpStuO6\\u002fKnttpSa08L\\u002fLtcVG+Onxv1VeSnH88fK\\u002fuWeF21e\\u002f87\\u002fkXFaFLkX0v47YGWZYePS\\u002fFjlTxE1R9L8kOJIons3zv1EeN4N18PK\\u002fiJOOgCbC8b9Ec2ZaDE\\u002fwv5R\\u002f2jhETO2\\u002fSowvjQSv6b\\u002fbR0WDxeXlv60zznxcDOK\\u002fOrF2oNtx3L9lP\\u002fK73PXUv9qf48Epbcu\\u002f6uGLdKTqur8StVnqLB2qvNrbi3JLB7o\\u002fpe+tbqOuyT+4\\u002fgo85w7TP0Xo7umgNtk\\u002fdROs5LpZ3z+Gnu5uCb\\u002fiP0gwa4Xx0OU\\u002fsZNPxS7d6D\\u002f9e6dkyNnrP7uTvpStuO4\\u002fJ3ttpSa08D\\u002fLtcVG+OnxP1VeSnH88fI\\u002fuGeF21e\\u002f8z\\u002fkXFaFLkX0P6aW7tUBdfQ\\u002fTFoABF2d9D\\u002fEkjV7EWz0P7p2JgO\\u002f3\\u002fM\\u002fQk7gHVf88j9JfW97jMrxP0cK2QujVvA\\u002fPUqo4hBe7T\\u002fODD214sXpP1BYzNcVAuY\\u002f2psfVJss4j+E2x0QY7TcP8yT+3gFM9U\\u002fnG2INvzMyz8Ou4+aX1e7PzXvULqnt5E8KodzGgGIur+4+icf6TXKv9c7VPCDd9O\\u002fEdgUQSDE2b9dGQQtWwXgvyWN6vUQKOO\\u002f77Apo95I5r8LAdbX12Hpv5QHd7FCaOy\\u002fnuAIDQdN779Oxi4GuP7wv9v9+63yMfK\\u002fZOjOBU0087+RljCyUfnzv6aW7tUBdfS\\u002fTFoABF2d9L\\u002fEkjV7EWz0v7t2JgO\\u002f3\\u002fO\\u002fQ07gHVf88r9JfW97jMrxv0cK2QujVvC\\u002fQEqo4hBe7b\\u002fPDD214sXpv1FYzNcVAua\\u002f35sfVJss4r+P2x0QY7Tcv86T+3gFM9W\\u002fqW2INvzMy782u4+aX1e7v89meZd7k6q8EYdzGgGIuj+m+icf6TXKP9U7VPCDd9M\\u002fC9gUQSDE2T9ZGQQtWwXgPySN6vUQKOM\\u002f7rApo95I5j8GAdbX12HpP5QHd7FCaOw\\u002fneAIDQdN7z9Nxi4GuP7wP9v9+63yMfI\\u002fZOjOBU008z+QljCyUfnzP6aW7tUBdfQ\\u002fQQlaxYSg9D+RiZKyUr70Pxh94ywOg\\u002fQ\\u002fyCV2RVXu8z88CyazzgTzP6G8nuCGz\\u002fE\\u002fQM3g5rNa8D+MlTJPmWjtP+ODb+Bz1ek\\u002f9mpH6WQX5j8NEEu8g0biP4alNT857Nw\\u002fUKn65u5n1T\\u002fczH83uyHMP2AqGKImubs\\u002fxWR6ToX\\u002fkTx8o+Kcj\\u002f66vyciF8+qs8q\\u002fsXooS4nZ07\\u002fzfwGEkUnav6leY+s3WeC\\u002fsPN7eOmL478jkLKqBbvmv3ZAmTMP4Om\\u002fCr1Kw47v7L92i9Btd9nvv+P4R40FRfG\\u002fusw3TXR18r8p\\u002f2FrEXLzv7LeKFXOLvS\\u002fQQlaxYSg9L+RiZKyUr70vxd94ywOg\\u002fS\\u002fyiV2RVXu878\\u002fCyazzgTzv6K8nuCGz\\u002fG\\u002fQM3g5rNa8L+PlTJPmWjtv+aDb+Bz1em\\u002f92pH6WQX5r8SEEu8g0biv5OlNT857Ny\\u002fUqn65u5n1b\\u002fozH83uyHMv40qGKImubu\\u002fJpe39Uf\\u002fqrxjo+Kcj\\u002f66PxQiF8+qs8o\\u002fr3ooS4nZ0z\\u002fufwGEkUnaP6VeY+s3WeA\\u002frfN7eOmL4z8kkLKqBbvmP3FAmTMP4Ok\\u002fCr1Kw47v7D91i9Btd9nvP+H4R40FRfE\\u002fusw3TXR18j8p\\u002f2FrEXLzP7LeKFXOLvQ\\u002fQQlaxYSg9D9MNilqMsf0P9yfj8PE2vQ\\u002ffekg\\u002f96V9D\\u002fO871nDPnzP25nGHSZCfM\\u002fW5xY0uTQ8T+Q7A7+HFvwP0+D50Cra+0\\u002frmWkp4nd6T++jYDBfiXmPwcTxGbaWeI\\u002flqXa0eIY3T9KHZ9DKZTVP9h+vXm9asw\\u002fz89nhkAPvD+89HV93j+SPK4Am1Qiaru\\u002fIeaknQUny7\\u002fiRi1jQzTUv8Pi1Dn7xdq\\u002fY1gRxdSn4L+LenQp1Onjv1O++H+KJue\\u002fxK0PA91W6r8DeQ6imW7tvxEZRiJpLvC\\u002f2aKqO2+G8b\\u002fQ4QFZ2bPyvypXUfipqvO\\u002f+HQjcDlf9L9MNilqMsf0v92fj8PE2vS\\u002ffOkg\\u002f96V9L\\u002fP871nDPnzv3BnGHSZCfO\\u002fXJxY0uTQ8b+Q7A7+HFvwv1OD50Cra+2\\u002fsGWkp4nd6b+\\u002fjYDBfiXmvwwTxGbaWeK\\u002fo6Xa0eIY3b9NHZ9DKZTVv+Z+vXm9asy\\u002f+M9nhkAPvL8a7zC8zV+rvJQAm1Qiars\\u002fDeaknQUnyz\\u002fgRi1jQzTUP77i1Dn7xdo\\u002fXlgRxdSn4D+KenQp1OnjP1K++H+KJuc\\u002fv60PA91W6j8DeQ6imW7tPxEZRiJpLvA\\u002f1qKqO2+G8T\\u002fQ4QFZ2bPyPypXUfipqvM\\u002f93QjcDlf9D9MNilqMsf0P0wZLN+36PQ\\u002fJji3Dmry9D+CYOYAQ6T0P6rXmG6r\\u002f\\u002fM\\u002fBTgF\\u002fIcK8z9fZOBYgs7xP+oQdWHFV\\u002fA\\u002fVrIHxSNn7T+QpWJhBd7pP+aF4SlALOY\\u002fpuzhiXRm4j9APW+nATrdPydH1gNct9U\\u002fRFeagXqnzD8T+PVmGFm8Px87Sr5LeJI8l1a44RTKu7\\u002f5Waa9TY\\u002fLv39QK8crh9S\\u002fTQvWSKQ4278enth4vPDgv0cFgX1FQeS\\u002fCb4wqs6K579XQBvsksXqv+emuBun5O2\\u002f7Z1VpCdr8L\\u002faqx6fjMLxvwbjtX+47PK\\u002fX+BVPbHd879uZXPQNYr0v0wZLN+36PS\\u002fJzi3Dmry9L+CYOYAQ6T0v6vXmG6r\\u002f\\u002fO\\u002fBzgF\\u002fIcK879gZOBYgs7xv+oQdWHFV\\u002fC\\u002fWbIHxSNn7b+SpWJhBd7pv+eF4SlALOa\\u002fquzhiXRm4r9LPW+nATrdvylH1gNct9W\\u002fUVeagXqnzL89+PVmGFm8v65Yb51xtKu8fVa44RTKuz\\u002fjWaa9TY\\u002fLP31QK8crh9Q\\u002fSQvWSKQ42z8bnth4vPDgP0YFgX1FQeQ\\u002fCL4wqs6K5z9SQBvsksXqP+emuBun5O0\\u002f7Z1VpCdr8D\\u002fZqx6fjMLxPwbjtX+47PI\\u002fX+BVPbHd8z9tZXPQNYr0P0wZLN+36PQ\\u002fVF3Yq+0E9T9GK2llHgX1P\\u002flBEHsXrvQ\\u002fzj1vqRAC9D800hSEewfzP6SP06NGyPE\\u002fULKf85tQ8D+dU7yB7VrtPwSdtxDX1uk\\u002fiAG7XpYr5j+s\\u002fcdDOGziP99aFy1WT90\\u002fui+so0bR1T\\u002fr2WolitfMP3mAAUU6lrw\\u002fmMoni3yokjwDdbW+6R28v4jdmFID7Mu\\u002fGZpj5uDR1L\\u002f4OqhRCaHbv0fSwqKdM+G\\u002f4i41P9+R5L+cUdVDa+fnv4nzn5\\u002fFK+u\\u002fpeVku0pR7r+7l0hWwaLwv\\u002f7u1aco+fG\\u002fuhZeU94f878urLfM9gr0vwYh1GOXr\\u002fS\\u002fVF3Yq+0E9b9FK2llHgX1v\\u002flBEHsXrvS\\u002fzz1vqRAC9L810hSEewfzv6WP06NGyPG\\u002fULKf85tQ8L+fU7yB7VrtvwWdtxDX1um\\u002fiQG7XpYr5r+w\\u002fcdDOGziv+1aFy1WT92\\u002fvC+so0bR1b\\u002f52WolitfMv6OAAUU6lry\\u002f5K+70Lr8q7zpdLW+6R28P3HdmFID7Ms\\u002fF5pj5uDR1D\\u002fzOqhRCaHbP0LSwqKdM+E\\u002f3y41P9+R5D+bUdVDa+fnP4bzn5\\u002fFK+s\\u002fpeVku0pR7j+7l0hWwaLwP\\u002fzu1aco+fE\\u002fuhZeU94f8z8urLfM9gr0PwYh1GOXr\\u002fQ\\u002fVF3Yq+0E9T9s0NJPzhv1PwRO\\u002fVDZEvU\\u002fl9qgoE+z9D8tu+r5KgD0P0dmTPRgAPM\\u002fi661lyC+8T9LyvTtlEXwP2WSu938Ru0\\u002fAm98Y\\u002frH6T8u1xn0fCPmP+G1Rm8ba+I\\u002fL9Yvcr5Y3T+LsjFAwOHVP0eUik2j+sw\\u002fUX1NxE\\u002fGvD9e8opVM9CSPPMzEhhBZby\\u002fVynN+cY8zL\\u002favZqdHBTVv6+GGBnQ\\u002ftu\\u002fIP7BVkNw4b8kfBRkaNvkv+x\\u002f3QcoPOi\\u002fmd2kykKJ678uHKo1XLTuvyvI4ekn1fC\\u002fPd30ODoq8r\\u002fcdWEzRU3zv8UBF5V2MvS\\u002f1hqhElrP9L9s0NJPzhv1vwVO\\u002fVDZEvW\\u002fl9qgoE+z9L8tu+r5KgD0v0hmTPRgAPO\\u002fi661lyC+8b9LyvTtlEXwv2eSu938Ru2\\u002fBW98Y\\u002frH6b8v1xn0fCPmv+W1Rm8ba+K\\u002fPNYvcr5Y3b+OsjFAwOHVv1SUik2j+sy\\u002ffn1NxE\\u002fGvL+Na1AATTisvNkzEhhBZbw\\u002fQinN+cY8zD\\u002fYvZqdHBTVP6iGGBnQ\\u002fts\\u002fGv7BVkNw4T8jfBRkaNvkP+p\\u002f3QcoPOg\\u002flN2kykKJ6z8uHKo1XLTuPyvI4ekn1fA\\u002fO930ODoq8j\\u002fcdWEzRU3zP8UBF5V2MvQ\\u002f1hqhElrP9D9s0NJPzhv1PxXElRtrLfU\\u002fyjnmU6Mb9T8AdkPL6rP0P9+gQqjx+fM\\u002fYUDTnCr18j+MDQE9ArDxPw3OfoKmNvA\\u002fsZbwp0or7T9stDs6crHpP5uHkTj6E+Y\\u002fidisCCFj4j9kEwnyMlbdP3\\u002fsR9G16NU\\u002f2bsIvJkQzT\\u002fDP6P4HOm8PwS\\u002fhw5C75I8oIUr4tCfvL+ep\\u002fxjT4HMv74B7x2rTdW\\u002fUMNpobpR3L\\u002fHCIERjabhv0kZiqXDHeW\\u002fXeAwkPCI6L8fzA2dBN7rv7hUEbDoDe+\\u002fWePXBWwC8b+8eiJZ2lXyvymWq6kKdfO\\u002f2OU00E1U9L\\u002f28VKIlun0vxXElRtrLfW\\u002fyTnmU6Mb9b\\u002f\\u002fdUPL6rP0v9+gQqjx+fO\\u002fY0DTnCr18r+MDQE9ArDxvw3OfoKmNvC\\u002ftZbwp0or7b9vtDs6crHpv5yHkTj6E+a\\u002fjdisCCFj4r9xEwnyMlbdv4HsR9G16NW\\u002f6LsIvJkQzb\\u002fvP6P4HOm8v4WeyxXjZqy8h4Ur4tCfvD+Hp\\u002fxjT4HMP7wB7x2rTdU\\u002fSsNpobpR3D\\u002fCCIERjabhP0gZiqXDHeU\\u002fXOAwkPCI6D8azA2dBN7rP7hUEbDoDe8\\u002fWOPXBWwC8T+6eiJZ2lXyPymWq6kKdfM\\u002f2OU00E1U9D\\u002f18VKIlun0PxXElRtrLfU\\u002fpAZeouA59T\\u002fBsR4Hix\\u002f1PwUi05rqr\\u002fQ\\u002fywec\\u002fFvv8z\\u002fPqL6ayeXyP4FwgtrbnfE\\u002f1ntzNsUj8D+xs+A1zgftP05ny4BDk+k\\u002fhRSwrRr95T9ff\\u002f+EVVTiP5pmn2\\u002fBR90\\u002fF2vrFSfm1T\\u002f4hPnKWhnNP9e5Kzl9\\u002frw\\u002fVH\\u002fTaocFkzzu7vbQXs28v0AVZQxhucy\\u002fIG\\u002f0MGN+1b+yhAJwm5ncv1qETOxm1uG\\u002fB93l6uVY5b+th77wyM3ov+t2KD8kKuy\\u002f6VbKgiJe77\\u002f\\u002fxMScsyrxv2GgdSA5fPK\\u002fOUB\\u002fbWOX87\\u002f9NH2\\u002frnD0vxyH3Sl2\\u002fvS\\u002fpAZeouA59b\\u002fCsR4Hix\\u002f1vwUi05rqr\\u002fS\\u002fywec\\u002fFvv87\\u002fQqL6ayeXyv4FwgtrbnfG\\u002f1ntzNsUj8L+0s+A1zgftv1Bny4BDk+m\\u002fhhSwrRr95b9jf\\u002f+EVVTiv6dmn2\\u002fBR92\\u002fGWvrFSfm1b8FhfnKWhnNvwS6Kzl9\\u002fry\\u002f\\u002fj49IEuIrLzT7vbQXs28PyoVZQxhucw\\u002fHm\\u002f0MGN+1T+shAJwm5ncP1WETOxm1uE\\u002fBt3l6uVY5T+sh77wyM3oP+h2KD8kKuw\\u002f6VbKgiJe7z\\u002f+xMScsyrxP16gdSA5fPI\\u002fOEB\\u002fbWOX8z\\u002f9NH2\\u002frnD0PxyH3Sl2\\u002fvQ\\u002fpAZeouA59T9epRMTTEH1P1F+bGmbHvU\\u002fSookUEqn9D+YXrPiWeDzPy\\u002fm2AEo0vI\\u002fzSN5nZeH8T\\u002fO136n4AzwP7e25hl43Ow\\u002fJ6XKS3Bt6T+E6rhg7N7lP4x5ZLPKPuI\\u002f7hJInoYt3T8o3iOFItrVP4wGaUTpFM0\\u002fvwjo818GvT8kSnDn7BKTPPyZ7ni87by\\u002fM70nr8jkzL+k2wWUIKbVv+5vJDNM1ty\\u002fd1xo5cL\\u002f4b8dRoiCzYzlv\\u002fbP+dbCCum\\u002fCZ3NlMxt7L8yEIAkUaXvvyjI1UgwTvG\\u002fAyOsm5Kd8r+b38pdj7Tzv8dNdIvUh\\u002fS\\u002fBdVoiCcO9b9epRMTTEH1v1N+bGmbHvW\\u002fSookUEqn9L+ZXrPiWeDzvzLm2AEo0vK\\u002fzSN5nZeH8b\\u002fO136n4Azwv7u25hl43Oy\\u002fKqXKS3Bt6b+F6rhg7N7lv5F5ZLPKPuK\\u002f+RJInoYt3b8r3iOFItrVv5kGaUTpFM2\\u002f6wjo818Gvb81byhbY5ysvOGZ7ni87bw\\u002fHb0nr8jkzD+i2wWUIKbVP+lvJDNM1tw\\u002fcVxo5cL\\u002f4T8cRoiCzYzlP\\u002fTP+dbCCuk\\u002fBJ3NlMxt7D8yEIAkUaXvPyfI1UgwTvE\\u002fACOsm5Kd8j+b38pdj7TzP8dNdIvUh\\u002fQ\\u002fBdVoiCcO9T9epRMTTEH1Pz\\u002fecKbCQ\\u002fU\\u002fmMgujdQY9T9Y1pCT+Jn0P1EJub\\u002fOzPM\\u002fgedc1CS6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002fqR\\u002fSwZ66xL9J7nbT47\\u002fCv5DefJSojsC\\u002f5Eon\\u002fNx2vL8UTr+OlLS3vwj8JyP1\\u002fbK\\u002f7uwrqk31rL8\\u002fhlmfWqakv6r\\u002fdQiqw5q\\u002flloJfIjqjb+psh9FqQV6vy87wKFBlF+\\u002f3N6Uoj84Xb+7A5\\u002fAf3Z5v2KdEYTlVI+\\u002fdCU+X1uAnb+p7FH4xqWnv84W6erzBrG\\u002fyKZ6LiCttr+uBuN4DWy8v4jn8ML19cC\\u002ftLUYfx9TxL8hV4WQcMzGvxaBBLPK08i\\u002fi8ZTzxdYyr+DoS5J41HLvwpX7PpowMu\\u002fNYG8WTmny78f+891Hw3Lv+qqhVgM\\u002fMm\\u002fczSUZFCByL+SmNQ4d63Gv0jv\\u002fL6Dk8S\\u002f+uYiJshHwr+H+BQXuL2\\u002fv9SOEKM12rq\\u002f69asgnINtr9ZAMTfVYCxvzZAIKrIuaq\\u002fC0lpvz+co7\\u002fDomJqwPubvzphBXh6YJS\\u002fB3DnkUT2kL8gIJWr2CuSvwabJmNdQJi\\u002fC9\\u002fKFe6Zob\\u002fyegPp5lupv7fwG9exiLG\\u002fMABk0nUbt78oOVsI5hC9v8k6e7yMhMG\\u002fs7UYfx9TxL8eV4WQcMzGvxWBBLPK08i\\u002fi8ZTzxdYyr+BoS5J41HLvwlX7PpowMu\\u002fNoG8WTmny78g+891Hw3Lv+mqhVgM\\u002fMm\\u002fczSUZFCByL+UmNQ4d63Gv0rv\\u002fL6Dk8S\\u002f++YiJshHwr+K+BQXuL2\\u002fv9yOEKM12rq\\u002f69asgnINtr9dAMTfVYCxv0FAIKrIuaq\\u002fDElpvz+co7\\u002fRomJqwPubv0BhBXh6YJS\\u002fCXDnkUT2kL8jIJWr2CuSv\\u002fqaJmNdQJi\\u002fC9\\u002fKFe6Zob\\u002fuegPp5lupv7DwG9exiLG\\u002fLwBk0nUbt78nOVsI5hC9v8U6e7yMhMG\\u002fsrUYfx9TxL+jnXj+4KTHv37JlDTZHMq\\u002f3veAr9sRzL\\u002f6KnguznTNvxC8tRYCQs6\\u002f8LwazF99zr9S+2Rr9S7Ov6Y2fhAMYc2\\u002fOIIV8sUfzL+FvLg5f3nKv\\u002f3\\u002ffR8Mf8i\\u002fxbicSVxDxr+YBMyEo9rDv7Us5u+CWcG\\u002fZLcM2z2pvb\\u002fi6WFgcMG4vxYOJmgTJrS\\u002fol6g\\u002fBcDsL\\u002fuCANkPgupv1dpffYetaO\\u002flumwcQtYoL9axl5ae3eevylBhlekk6C\\u002fZfnTdUZ3pL9n5PfNYNuqv4pR6yXdxbG\\u002fO2Dl6CYTt7+0iKvYOg29vx5PdaUUrMG\\u002fzG6zmcPGxL+inXj+4KTHv3vJlDTZHMq\\u002f3PeAr9sRzL\\u002f6KnguznTNvw68tRYCQs6\\u002f77wazF99zr9S+2Rr9S7Ov6c2fhAMYc2\\u002fN4IV8sUfzL+GvLg5f3nKv\\u002f\\u002f\\u002ffR8Mf8i\\u002fybicSVxDxr+ZBMyEo9rDv7cs5u+CWcG\\u002fbbcM2z2pvb\\u002fk6WFgcMG4vxwOJmgTJrS\\u002fp16g\\u002fBcDsL\\u002fxCANkPgupv15pffYetaO\\u002fmOmwcQtYoL9Zxl5ae3eevylBhlekk6C\\u002fXPnTdUZ3pL9n5PfNYNuqv4lR6yXdxbG\\u002fMmDl6CYTt7+yiKvYOg29vx5PdaUUrMG\\u002fyG6zmcPGxL+hnXj+4KTHv8DDztlD5Mq\\u002fgd55SZdazb9gixrDOzzPv7zLLK4dPtC\\u002fRde7jGiN0L9KaKVCW5DQv2iwvvtNTdC\\u002fA3I4AmiWz79R7wXKgyLOv7nIcUdhTsy\\u002fehNUZhsryr8i1aMwgsvHv\\u002fMm4JaYQ8W\\u002fr8KTUfinwr\\u002fLp6yUiA3Av7bdkz9DE7u\\u002f8oa2J8xktr+w4pIE8T2yvzX3HsT1nK2\\u002fTxoq9d6LqL9FN2yvyKClv1f0+x5sJKW\\u002fg5zTt79Gp7\\u002fkcVslthasv+Fu05kGvrG\\u002ffQIZzXOZtr93HlzSeWS8v5C9O8Z7Z8G\\u002fzsL0dOK6xL9ml0g\\u002f+PXHv7\\u002fDztlD5Mq\\u002ff955SZdazb9dixrDOzzPv7zLLK4dPtC\\u002fRNe7jGiN0L9JaKVCW5DQv2ewvvtNTdC\\u002fBnI4AmiWz79Q7wXKgyLOv7nIcUdhTsy\\u002ffRNUZhsryr8m1aMwgsvHv\\u002fUm4JaYQ8W\\u002fscKTUfinwr\\u002fPp6yUiA3Av7jdkz9DE7u\\u002f9oa2J8xktr+24pIE8T2yvzb3HsT1nK2\\u002fVhoq9d6LqL9GN2yvyKClv1f0+x5sJKW\\u002fhJzTt79Gp7\\u002facVslthasv99u05kGvrG\\u002fegIZzXOZtr9uHlzSeWS8v5C9O8Z7Z8G\\u002fzcL0dOK6xL9il0g\\u002f+PXHv77DztlD5Mq\\u002fsapa4gwJzr8+KIOqnz7Qv++G2I89JdG\\u002fkVePqhWz0b+2VEFRS+rRvz6Ehxyt0dG\\u002fOBe09upx0b+Pw\\u002fjkzNPQv2ykd3hf\\u002f8+\\u002f2qviRrP7zb9a9UxY9K3Lv8eho8vIKMm\\u002fq8JXiPF\\u002fxr\\u002fSrvDf7MfDv8MS+GfVFcG\\u002f2f7HozH\\u002fvL8XKcmSpzi4v67JBir7CLS\\u002f0XksPCOjsL9DAtoo5nOsvzVb4lh6+Km\\u002fde1QJS0fqr8rmuLacBWtv1vryn3PcLG\\u002fBN5dGI6utb8vL5\\u002fa4Ri7vyuHBNxptsC\\u002f1roEQ3ooxL\\u002fhn0KL\\u002fqzHv4ewpDEpCsu\\u002fsKpa4gwJzr89KIOqnz7Qv+2G2I89JdG\\u002fkVePqhWz0b+3VEFRS+rRvz2Ehxyt0dG\\u002fOBe09upx0b+Pw\\u002fjkzNPQv2mkd3hf\\u002f8+\\u002f2qviRrP7zb9c9UxY9K3Lv8yho8vIKMm\\u002frcJXiPF\\u002fxr\\u002fTrvDf7MfDv8cS+GfVFcG\\u002f2\\u002f7HozH\\u002fvL8eKcmSpzi4v7TJBir7CLS\\u002f0nksPCOjsL9LAtoo5nOsvzVb4lh6+Km\\u002fdO1QJS0fqr8pmuLacBWtv1fryn3PcLG\\u002fAt5dGI6utb8tL5\\u002fa4Ri7vyaHBNxptsC\\u002f1roEQ3ooxL\\u002fgn0KL\\u002fqzHv4KwpDEpCsu\\u002fr6pa4gwJzr+Qap2ODoXQv1uZhD3QvdG\\u002fIexd1cSZ0r8SUg4V+hTTvx3paHSoM9O\\u002fD5xpIw\\u002f\\u002f0r+7e7JRL4LSvwnM4zShx9G\\u002fifmSkujY0L8uTwCIsX3Pv0mHrVeFBM2\\u002fncLQTcJYyr+5hH+U2Y3Hv4AgfQkZuMS\\u002fx2a7irbswb9vvJw3RoS+vxgcrv\\u002fooLm\\u002f9d958yBjtb\\u002fMtzdRhQGyvzOfHdvLZa+\\u002f6BtbGVtTrb\\u002fb7NB5Ixuuv+w2NXHJ9LC\\u002fDEeOR4RetL+uA4An4y+5v0zxb3ODM7+\\u002flspaaHUNw78Xkh660cDGvx\\u002f\\u002fOuCMecq\\u002fBHyCPFz6zb+Pap2ODoXQv1qZhD3QvdG\\u002fH+xd1cSZ0r8TUg4V+hTTvx7paHSoM9O\\u002fDpxpIw\\u002f\\u002f0r+7e7JRL4LSvwrM4zShx9G\\u002fifmSkujY0L8xTwCIsX3Pv0qHrVeFBM2\\u002fosLQTcJYyr+5hH+U2Y3Hv4IgfQkZuMS\\u002fy2a7irbswb9xvJw3RoS+vx0crv\\u002fooLm\\u002f+9958yBjtb\\u002fMtzdRhQGyvz6fHdvLZa+\\u002f5xtbGVtTrb\\u002fa7NB5Ixuuv+w2NXHJ9LC\\u002fBUeOR4RetL+sA4An4y+5v0nxb3ODM7+\\u002fkcpaaHUNw78Wkh660cDGvx7\\u002fOuCMecq\\u002f\\u002fnuCPFz6zb+Oap2ODoXQv95yUNfy7tG\\u002fvHn\\u002f4SAm07\\u002fHcBT4G\\u002ffTv1yA3YJ5X9S\\u002fNBkMPJRl1L9TcgUHEBXUv6t+vnsre9O\\u002f6DTouD+k0r8qI6BF8JrRv10y7iicaNC\\u002fsNP3P2wszr8j21z0wFnLv057kfxPbMi\\u002fZAeGWiN4xb\\u002fxgBhobZLCvzUWUef\\u002fo7+\\u002fIFv\\u002fc6Ofur9rYqDBcU62v36ayZ\\u002fw6rK\\u002fUW\\u002fce4uwsL+kDna1Vqyvv7sCQzC3hrC\\u002f1GXIqerYsr\\u002fj+H6FpMi2v3MxDTtuM7y\\u002foikw9FZswb95NdqlYi7Fv26KRBUvJ8m\\u002fIxRZ\\u002fxQXzb+l+AfWg17Qv91yUNfy7tG\\u002funn\\u002f4SAm07\\u002fGcBT4G\\u002ffTv1yA3YJ5X9S\\u002fNBkMPJRl1L9ScgUHEBXUv6p+vnsre9O\\u002f6jTouD+k0r8pI6BF8JrRv14y7iicaNC\\u002ftdP3P2wszr8q21z0wFnLv1F7kfxPbMi\\u002fZgeGWiN4xb\\u002f1gBhobZLCvzcWUef\\u002fo7+\\u002fJVv\\u002fc6Ofur9wYqDBcU62v32ayZ\\u002fw6rK\\u002fVW\\u002fce4uwsL+gDna1Vqyvv7sCQzC3hrC\\u002f1WXIqerYsr\\u002fb+H6FpMi2v3IxDTtuM7y\\u002foCkw9FZswb90NdqlYi7Fv26KRBUvJ8m\\u002fIxRZ\\u002fxQXzb+j+AfWg17Qv91yUNfy7tG\\u002fN0IFK3E9079L8ecS8nLUv+eKS6rdONW\\u002fVMvzboWO1b\\u002fAZlxKcXzVv6+fBoGUENW\\u002fdFzE70pa1L+HO5A6lWfTv9ZvWhUqRNK\\u002fKWMHwvH50L94IP3mBiTPv95+4YrYKsy\\u002f0FRdexobyb9z0loKhAjGv0MUDq0hCMO\\u002fFLZIyvQwwL9gL6\\u002f3SDm7vxuKe2m4z7a\\u002fxq18wcVjs79+P8zU9DWxv6kpJAONgrC\\u002fB7B6e9R4sb+h\\u002fawsVDG0v1LmfQmnpbi\\u002fhqSh6yisvr8vk\\u002fKiQvzCv1Z\\u002frEpJEMe\\u002fBs5sKR9Sy7\\u002fnEGHa7nvPvwVw8i1CpNG\\u002fNkIFK3E9079J8ecS8nLUv+eKS6rdONW\\u002fU8vzboWO1b\\u002fAZlxKcXzVv66fBoGUENW\\u002fdVzE70pa1L+HO5A6lWfTv9VvWhUqRNK\\u002fK2MHwvH50L99IP3mBiTPv+N+4YrYKsy\\u002f0VRdexobyb910loKhAjGv0gUDq0hCMO\\u002fFbZIyvQwwL9nL6\\u002f3SDm7vyGKe2m4z7a\\u002fxq18wcVjs7+AP8zU9DWxv6gpJAONgrC\\u002fBrB6e9R4sb+h\\u002fawsVDG0v0rmfQmnpbi\\u002fhaSh6yisvr8uk\\u002fKiQvzCv1B\\u002frEpJEMe\\u002fB85sKR9Sy7\\u002fnEGHa7nvPvwJw8i1CpNG\\u002fNUIFK3E907++cjg5B2zUv4gYdPb9n9W\\u002fX7N33RNb1r8zSnTdi57Wv8u1q\\u002fkjdda\\u002fOvw4mgLv1b8ZsfIKdx3VvwjCbn4HENS\\u002fOmZfh2zT0r9Np3OjFHLRv2o2hxWB6s+\\u002fpS8EU9\\u002fLzL+XOAwduJrJv7GBIoZoasa\\u002fCpzrBbVPw7+yFaiEkmHAv2MDO\\u002fohdLu\\u002f+JYwye3ttr9KgbSI9nKzv8o\\u002fkRkhSbG\\u002fXroqRdqysL9e3xYMAeWxv1bgpjZp+7S\\u002f1Bf8v9Puub9SCjHtqEfAv6YS8NRmQsS\\u002flhr3gcSqyL8KHnUPfjjNvy\\u002fq+r9Yz9C\\u002fksVZGb\\u002fJ0r+9cjg5B2zUv4gYdPb9n9W\\u002fXbN33RNb1r8zSnTdi57Wv8u1q\\u002fkjdda\\u002fOPw4mgLv1b8YsfIKdx3VvwrCbn4HENS\\u002fOWZfh2zT0r9Op3OjFHLRv202hxWB6s+\\u002fqS8EU9\\u002fLzL+YOAwduJrJv7KBIoZoasa\\u002fDpzrBbVPw7+zFaiEkmHAv2kDO\\u002fohdLu\\u002f\\u002fZYwye3ttr9JgbSI9nKzv9E\\u002fkRkhSbG\\u002fXLoqRdqysL9d3xYMAeWxv1XgpjZp+7S\\u002fzBf8v9Puub9SCjHtqEfAv6US8NRmQsS\\u002fkBr3gcSqyL8KHnUPfjjNvy7q+r9Yz9C\\u002fkMVZGb\\u002fJ0r+9cjg5B2zUv7txFyildtW\\u002fNh+bC4up1r9POQ5kaVrXv3f8U7OljNe\\u002fh3yxCDtN17+mYAsxY67Wv2MEQj4xw9W\\u002fzaqM4oic1L+osw50D0jTv1ON\\u002fzi20NG\\u002fQyTv1O4\\u002f0L+SkJFGbT3Nv0eV5f9U7Mm\\u002fGW+FVJmfxr9+afb2mGvDv0LJkr76ZsC\\u002f41Bdk7tXu78wi+WxlrG2v4shdkxlIbO\\u002fyZhGqHLysL\\u002fhUP3n6m2wv0wWIsp1z7G\\u002fdQ26U9E3tb+cpWKjnqC6v8BA21OA6sC\\u002febLq59M4xb+ycqycW\\u002fbJvyikVODh0c6\\u002fNDbPw0270b8qSxMMrcrTv7txFyildtW\\u002fNh+bC4up1r9POQ5kaVrXv3b8U7OljNe\\u002fh3yxCDtN17+lYAsxY67Wv2MEQj4xw9W\\u002fz6qM4oic1L+nsw50D0jTv1ON\\u002fzi20NG\\u002fRCTv1O4\\u002f0L+ZkJFGbT3Nv0uV5f9U7Mm\\u002fGm+FVJmfxr+Eafb2mGvDv0PJkr76ZsC\\u002f61Bdk7tXu780i+WxlrG2v4ghdkxlIbO\\u002fzphGqHLysL\\u002feUP3n6m2wv0wWIsp1z7G\\u002fdQ26U9E3tb+TpWKjnqC6v8BA21OA6sC\\u002fd7Lq59M4xb+rcqycW\\u002fbJvyekVODh0c6\\u002fMzbPw0270b8oSxMMrcrTv7pxFyildtW\\u002f2tM+tdRZ1r\\u002fkR+K+kIzXv0gkRihMNNi\\u002fECVKybVW2L\\u002f\\u002fQEY8CgPYv4bmzyh3Tde\\u002fLrpsrKJK1r\\u002fi1Q4lowzVv8frzQLzodO\\u002fsBJ+SQIW0r8UIWihfHLQv09QI8bYgM2\\u002fPaQaIr8Ryr9+acz9Y6rGvyA5\\u002fm+qXsO\\u002fzNhXlapEwL+YQjfLW+y6v4MJhn0eJLa\\u002fPFBWvDR5sr8as6UlCDywv1ero3K8ea+\\u002fbabduzU\\u002fsb\\u002f6\\u002flk9X+q0vxpIdQLSurq\\u002f0mVAoEc8wb9p21u3FdvFv+bf\\u002f47d7Mq\\u002fUuN0B30L0L+2uA1e933SvyAjB2FFo9S\\u002f2dM+tdRZ1r\\u002fjR+K+kIzXv0gkRihMNNi\\u002fESVKybVW2L\\u002f\\u002fQEY8CgPYv4Xmzyh3Tde\\u002fLrpsrKJK1r\\u002fj1Q4lowzVv8brzQLzodO\\u002fshJ+SQIW0r8UIWihfHLQv1VQI8bYgM2\\u002fPaQaIr8Ryr9\\u002facz9Y6rGvyY5\\u002fm+qXsO\\u002fzdhXlapEwL+gQjfLW+y6v4oJhn0eJLa\\u002fPFBWvDR5sr8hs6UlCDywv1Sro3K8ea+\\u002fa6bduzU\\u002fsb\\u002f7\\u002flk9X+q0vxBIdQLSurq\\u002f0GVAoEc8wb9n21u3FdvFv+Hf\\u002f47d7Mq\\u002fUuN0B30L0L+0uA1e933Svx4jB2FFo9S\\u002f2dM+tdRZ1r+5WxDq0hLXv4I73+LLRti\\u002fqAvI3\\u002f3m2L\\u002f1U2rEdvvYv5+I8WS1ldi\\u002f+aXRNr\\u002fL179apNufoLPWv71SJwB5YNW\\u002fTPZqTX\\u002fh07\\u002fNfuRvnULSv51nEM\\u002fCjdC\\u002f3IB89i+Yzb9Mzd76Ww3Kv0Q0qcGJjca\\u002fNr8PjhUsw7908+0cn\\u002fy\\u002fvy++\\u002fHSJOrq\\u002fBZXxUz9Ptb\\u002fKgJzhGoWxvyG20agWYq6\\u002fq1kuvfRUrb+FvvIZkj2wvzg3Yz7KGbS\\u002fOLH6J4dAur\\u002flkL5FaTzBvwhfiAVrJsa\\u002fsdbr5amJy7\\u002f\\u002f4tQm74DQv1w16k4dFNO\\u002fiyGcO2hQ1b+5WxDq0hLXv4I73+LLRti\\u002fpgvI3\\u002f3m2L\\u002f0U2rEdvvYv5+I8WS1ldi\\u002f+aXRNr\\u002fL179bpNufoLPWv75SJwB5YNW\\u002fSvZqTX\\u002fh07\\u002fOfuRvnULSv59nEM\\u002fCjdC\\u002f4YB89i+Yzb9Nzd76Ww3Kv0Q0qcGJjca\\u002fO78PjhUsw7928+0cn\\u002fy\\u002fvze+\\u002fHSJOrq\\u002fC5XxUz9Ptb\\u002fKgJzhGoWxvzC20agWYq6\\u002fpFkuvfRUrb+DvvIZkj2wvzg3Yz7KGbS\\u002fLbH6J4dAur\\u002fkkL5FaTzBvwVfiAVrJsa\\u002fqtbr5amJy7\\u002f\\u002f4tQm74DQv1o16k4dFNO\\u002fiSGcO2hQ1b+5WxDq0hLXv7pzQE2cn9e\\u002frzUYL8PW2L\\u002fCL3Nmk3HZv1i4zdx3etm\\u002fIli0CCwF2b\\u002flLp7BdinYvyXsin6m\\u002fta\\u002fVCJ5Tb+Y1b\\u002f55gs3nQfUv1SD+02eV9K\\u002fv0Ybyf6S0L8XOx08LobNv0OE1jEe4sm\\u002fC6024jJMxr91wXV9QtfCv71mr8hSL7+\\u002fMEU1qbFKub\\u002fKdzB1hjy0v5AqqqfIT7C\\u002fRZHgGRC6q7\\u002fYOzUACYWqv4R6NDYvq62\\u002fr5qlREPPsr+uQPJD8Te5v2wVjqMQ7MC\\u002fgNULm+QZxr\\u002fbv5jH48nLv4M56d8kx9C\\u002fPRNYuEl7078fnApWsc\\u002fVv7lzQE2cn9e\\u002frjUYL8PW2L\\u002fBL3Nmk3HZv1e4zdx3etm\\u002fIli0CCwF2b\\u002fjLp7BdinYvyTsin6m\\u002fta\\u002fVCJ5Tb+Y1b\\u002f35gs3nQfUv1OD+02eV9K\\u002fwUYbyf6S0L8eOx08LobNv0SE1jEe4sm\\u002fDK024jJMxr96wXV9QtfCv79mr8hSL7+\\u002fOUU1qbFKub\\u002fQdzB1hjy0v48qqqfIT7C\\u002fVZHgGRC6q7\\u002fSOzUACYWqv4B6NDYvq62\\u002fsJqlREPPsr+jQPJD8Te5v2wVjqMQ7MC\\u002ffNULm+QZxr\\u002fTv5jH48nLv4M56d8kx9C\\u002fPBNYuEl7078cnApWsc\\u002fVv7hzQE2cn9e\\u002fBSQsE+3+178KFSTWvTvZvzl1K\\u002fnk09m\\u002fM77ApwrU2b+F1oiNF1LZv2MheYWDZ9i\\u002fHswG08Ys17+YmmIfr7bVv\\u002flWMZqpFdS\\u002fsONeL4JW0r9bUrQLyYPQv1zLA2ItTs2\\u002fTS3mX3qTyb+fGrJJ5enFv9sS18rKY8K\\u002fVBJ1rvIovr+T5tMI8CS4v66Nay3+9LK\\u002fLAVSEefGrb+Fi1zZtpaov78ZRL1EIqe\\u002ff3cFBugmqr+LfxqD8RWxv+9U\\u002fTYCqre\\u002ftGtkEBZOwL9LmAqsa7bFv\\u002fSUVXCNrMu\\u002fbfkad+Dc0L8sr1Gz2rHTvxUp6mKCH9a\\u002fBSQsE+3+178JFSTWvTvZvzl1K\\u002fnk09m\\u002fM77ApwrU2b+G1oiNF1LZv2EheYWDZ9i\\u002fH8wG08Ys17+ammIfr7bVv\\u002fhWMZqpFdS\\u002fseNeL4JW0r9bUrQLyYPQv2PLA2ItTs2\\u002fUC3mX3qTyb+fGrJJ5enFv+AS18rKY8K\\u002fVhJ1rvIovr+c5tMI8CS4v7WNay3+9LK\\u002fLgVSEefGrb+Vi1zZtpaov7oZRL1EIqe\\u002fe3cFBugmqr+JfxqD8RWxv+RU\\u002fTYCqre\\u002fs2tkEBZOwL9ImAqsa7bFv+uUVXCNrMu\\u002fbvkad+Dc0L8qr1Gz2rHTvxIp6mKCH9a\\u002fBSQsE+3+17+lFtP4NzDYv\\u002fNoc7avddm\\u002f8XqUHXMO2r9X9uV2JQnav7mXh\\u002fW+fdm\\u002f745VjFyH2L8YyKmRlT\\u002fXvwV7N6Dyu9W\\u002fYSsZPGQN1L\\u002fCA2wPHkHSv8FLT5IIYtC\\u002f7ddGBxL0zL+D6AhyWSXJvynDJnV8asW\\u002fk2m66nTVwb\\u002feWtTK+vC8vxOzoGL50La\\u002fmhGtFAGBsb95yj+zEpOqv\\u002fstOrSNDaW\\u002fj60fMaZEo7\\u002fiCIQwxAemv9JBVtPG9K2\\u002feYC4NvOhtb8KoatUrc2+v1OdAN2w\\u002fsS\\u002fpILrSowyy7\\u002fzEro40cHQv\\u002f8mtnUKt9O\\u002f5uduiQQ\\u002f1r+lFtP4NzDYv\\u002fFoc7avddm\\u002f8HqUHXMO2r9Y9uV2JQnav7mXh\\u002fW+fdm\\u002f7o5VjFyH2L8ZyKmRlT\\u002fXvwZ7N6Dyu9W\\u002fXisZPGQN1L\\u002fEA2wPHkHSv8FLT5IIYtC\\u002f9ddGBxL0zL+F6AhyWSXJvyrDJnV8asW\\u002fmWm66nTVwb\\u002fgWtTK+vC8vxyzoGL50La\\u002fnxGtFAGBsb93yj+zEpOqvwwuOrSNDaW\\u002fia0fMaZEo7\\u002fhCIQwxAemv9RBVtPG9K2\\u002fbYC4NvOhtb8HoatUrc2+v1CdAN2w\\u002fsS\\u002fnYLrSowyy7\\u002fyEro40cHQv\\u002f0mtnUKt9O\\u002f4+duiQQ\\u002f1r+lFtP4NzDYv58n3xCXM9i\\u002flFsHcx+F2b97p5HrRCLav24zb70+G9q\\u002fM96s7OOJ2b+ziiVx64rYv73lxOwNOde\\u002fhcoDkI6q1b9gZ9D02\\u002fDTvy8fI\\u002fyMGdK\\u002f1jhEnuMv0L8TOw39MnzMv5u8oyIHnMi\\u002ffq80AyDSxL+oDDaUMjDBv56XZL3njru\\u002ftlt9+SJWtb8zyoGyZ9Cvv+NVRBsfFae\\u002fjUG+9Vgyob9qPYwfIQaev38wgrROZ6G\\u002f8ulWqf8Tqb83MwIYvCyzv+Kp\\u002fUb4d7y\\u002fP3xVpgb3w7+DZ+ckl17Kv3ozZbWRdtC\\u002fjIP7A++K07\\u002fXVxj+Ii7Wv54n3xCXM9i\\u002flFsHcx+F2b95p5HrRCLav3Azb70+G9q\\u002fNN6s7OOJ2b+xiiVx64rYv7zlxOwNOde\\u002fh8oDkI6q1b9eZ9D02\\u002fDTvy8fI\\u002fyMGdK\\u002f1zhEnuMv0L8bOw39MnzMv5y8oyIHnMi\\u002ffa80AyDSxL+sDDaUMjDBv6CXZL3njru\\u002fv1t9+SJWtb8\\u002fyoGyZ9Cvv+VVRBsfFae\\u002fn0G+9Vgyob9gPYwfIQaev30wgrROZ6G\\u002f9elWqf8Tqb8sMwIYvCyzv+Gp\\u002fUb4d7y\\u002fO3xVpgb3w797Z+ckl17Kv3szZbWRdtC\\u002fioP7A++K07\\u002fUVxj+Ii7Wv54n3xCXM9i\\u002f93SBzrkJ2L81aVrSCmvZv93bXZXEENq\\u002fi0AjHyYM2r+HF8YKnXjZvySwLeNqdNi\\u002f+ghj4HUb179j1+T7yYTVv5szCURZwtO\\u002fZycQsRzi0b+2ooqDXN\\u002fPv65fdGA768u\\u002f13wBIBv8x79CnLUuNiXEv7JLl\\u002fYdeMC\\u002fW2w88kQKur8Y\\u002f1hmfLuzv65luTQ6Y6y\\u002f4ZvxcFFco7+CemLb0C2avxjOqCSM5ZS\\u002fA9tN7qq8mL8s+BYcAqWjvxB6UI2DWLC\\u002f6QFWh3Koub8aER\\u002fLKqXCv\\u002fmV9AsRNcm\\u002fLVjCtjn5z7+ENl2jci7Tv8DElsuA7dW\\u002f93SBzrkJ2L80aVrSCmvZv9vbXZXEENq\\u002fjEAjHyYM2r+IF8YKnXjZvyGwLeNqdNi\\u002f+whj4HUb179l1+T7yYTVv5szCURZwtO\\u002faScQsRzi0b+4ooqDXN\\u002fPv7VfdGA768u\\u002f2HwBIBv8x79FnLUuNiXEv7dLl\\u002fYdeMC\\u002fXWw88kQKur8g\\u002f1hmfLuzv79luTQ6Y6y\\u002f3pvxcFFco7+remLb0C2avxDOqCSM5ZS\\u002f\\u002fdpN7qq8mL8t+BYcAqWjvwN6UI2DWLC\\u002f6AFWh3Koub8WER\\u002fLKqXCv\\u002fCV9AsRNcm\\u002fLVjCtjn5z7+CNl2jci7Tv73ElsuA7dW\\u002f93SBzrkJ2L9qSRkX07PXv9JImSfNKNm\\u002fh4refZ7b2b\\u002f2R+tc393Zv6bZ79AwTNm\\u002fuJGEBEVG2L+wqJM7QenWv0ti7GQVTdW\\u002fQZy1NkiE07+Qgl0VOZ3Rvz3JgzCuR8+\\u002fRDtqhgdGy7\\u002feG1HvW0rHv6ca5e1PaMO\\u002fdb1O7eNiv78E9YQ8t2q4v\\u002foInZ\\u002fvB7K\\u002fCmmBfZ3HqL+D32bZ1uyevxLhrttJlpG\\u002fmWHrDZechr+8GPyaOBGMv9VUfYUAhpu\\u002fequgYCJoqr8jJWG3\\u002f222vyqwEiMDEMG\\u002f9ZZbG9S7x7\\u002fDlSZMdqzOv0wW7EVGo9K\\u002fIHyWmGt+1b9pSRkX07PXv9BImSfNKNm\\u002fhorefZ7b2b\\u002f3R+tc393Zv6bZ79AwTNm\\u002ftpGEBEVG2L+xqJM7QenWv01i7GQVTdW\\u002fP5y1NkiE07+Qgl0VOZ3Rv0DJgzCuR8+\\u002fSztqhgdGy7\\u002fgG1HvW0rHv6ca5e1PaMO\\u002fgr1O7eNiv78G9YQ8t2q4vwMJnZ\\u002fvB7K\\u002fF2mBfZ3HqL9132bZ1uyevzzhrttJlpG\\u002fgmHrDZechr+0GPyaOBGMv9tUfYUAhpu\\u002fZKugYCJoqr8iJWG3\\u002f222vyawEiMDEMG\\u002f7ZZbG9S7x7\\u002fDlSZMdqzOv0wW7EVGo9K\\u002fHXyWmGt+1b9pSRkX07PXv1e74T2JM9e\\u002f\\u002fdHPbArA2L9C7pYQpoTZv9kdVWKCktm\\u002f3FJZMfQG2b9NLwiw8wLYv+QAmnT1pNa\\u002fdEyQIvIF1b9ml9AuIjnTvxTO1x1XTdG\\u002fWm8PP6Wdzr99gJRNfZHKv1OGWmubi8a\\u002fsSpZZg2gwr\\u002fGh0AL9cC9v7n1z2b6t7a\\u002fpZ\\u002fUgVpCsL\\u002fk8JTVJAqlv6yuvUAS4Ja\\u002f5K27yit1gb+Gr62K9jNWvwiKgEP47ma\\u002ffuErLZ4gjr+TTaVvkJyjv+R8Sylp2LK\\u002f21JJV6R+vr97sZXz7\\u002fnFv4y+oIfSDM2\\u002fyYtLC8\\u002fr0b\\u002faHbmyzOLUv1e74T2JM9e\\u002f\\u002fNHPbArA2L9C7pYQpoTZv9gdVWKCktm\\u002f3FJZMfQG2b9KLwiw8wLYv+UAmnT1pNa\\u002fdUyQIvIF1b9ml9AuIjnTvxXO1x1XTdG\\u002fXG8PP6Wdzr+FgJRNfZHKv1WGWmubi8a\\u002fsypZZg2gwr\\u002fRh0AL9cC9v7v1z2b6t7a\\u002frp\\u002fUgVpCsL\\u002fz8JTVJAqlv6euvUAS4Ja\\u002fOK67yit1gb8Xr62K9jNWv+GJgEP47ma\\u002ff+ErLZ4gjr99TaVvkJyjv+J8Sylp2LK\\u002f01JJV6R+vr9ysZXz7\\u002fnFv4y+oIfSDM2\\u002fx4tLC8\\u002fr0b\\u002fVHbmyzOLUv1W74T2JM9e\\u002fo6i8teiK1r9Y7tpNoDLYvwQO4RzCDdm\\u002fcclreSIs2b+7+e2DLqvYv2HfLhPkrNe\\u002fMolfKA9R1r9C+8182rHUvzX34+dX49K\\u002fIsYVgd\\u002f00L8PvNCIC+bNv6wFSBhh0sm\\u002fE5I60o3Exb\\u002frdCDJ+tDBvwgCqlz3Ery\\u002fES0qJsv5tL\\u002fz7iiuLuOsv9WImh4XN6G\\u002fW9nxLPRTjb96f4ZC8eMyP3gZIxHOeIE\\u002fA0Sj0Sg4gT8\\u002fjstha9BgvwWQB\\u002fq+1pi\\u002fGooGD5Lvrb\\u002floZKQz3a6v5mO2tBf98O\\u002fwNkfTXMhy7\\u002fYkKTCDwvRv\\u002fFn9gcZHdS\\u002foqi8teiK1r9W7tpNoDLYvwQO4RzCDdm\\u002fcclreSIs2b+7+e2DLqvYv2DfLhPkrNe\\u002fMolfKA9R1r9D+8182rHUvzT34+dX49K\\u002fIsYVgd\\u002f00L8QvNCIC+bNv7YFSBhh0sm\\u002fFZI60o3Exb\\u002ftdCDJ+tDBvxUCqlz3Ery\\u002fEy0qJsv5tL8F7yiuLuOsv+KImh4XN6G\\u002fUdnxLPRTjb\\u002fEdIZC8eMyP4UZIxHOeIE\\u002fC0Sj0Sg4gT99jstha9Bgv9uPB\\u002fq+1pi\\u002fG4oGD5Lvrb\\u002fdoZKQz3a6v5CO2tBf98O\\u002fwdkfTXMhy7\\u002fVkKTCDwvRv+5n9gcZHdS\\u002foqi8teiK1r9gcl8yWbzVv06PdfWcgte\\u002fUaI+8eB42L8hkcpXvazYv7RA8tYDO9i\\u002fMVsmd15G17\\u002fM\\u002fo\\u002fc6e\\u002fVv7qEttgqU9S\\u002f8v\\u002fnBzyF0r\\u002fNHm+6GZbQv1\\u002f56tNgJc2\\u002flWhHeSkNyb++U0SHnfnEv03cpkRn\\u002f8C\\u002fBJsL0B9hur9KlDcfuzezv0JoptzbOKm\\u002ffrfSSRO1mr\\u002f1qUd+ioR5vzcK6f42yYI\\u002f8fNBLNn0kj+6qxBh9EGUP2o2VPOaX4Y\\u002fOiSd1F7Ag793t7F5\\u002f7elv0jwAMikGba\\u002f\\u002fJbARry8wb\\u002f4yYn8ZPLIvzQBki6PBNC\\u002fiYYqIUAw079ecl8yWbzVv02PdfWcgte\\u002fUKI+8eB42L8ikcpXvazYv7VA8tYDO9i\\u002fMVsmd15G17\\u002fM\\u002fo\\u002fc6e\\u002fVv7yEttgqU9S\\u002f8P\\u002fnBzyF0r\\u002fOHm+6GZbQv2H56tNgJc2\\u002fnWhHeSkNyb++U0SHnfnEv03cpkRn\\u002f8C\\u002fEZsL0B9hur9MlDcfuzezv1RoptzbOKm\\u002fmLfSSRO1mr\\u002fiqUd+ioR5v+IJ6f42yYI\\u002f9vNBLNn0kj+9qxBh9EGUP1o2VPOaX4Y\\u002f5iOd1F7Ag79zt7F5\\u002f7elv0DwAMikGba\\u002f85bARry8wb\\u002f4yYn8ZPLIvzIBki6PBNC\\u002fhYYqIUAw079ecl8yWbzVv\\u002fj1uhSUytS\\u002f1fPPNTqy1r+oiogb88fXv3D32oYxFti\\u002fRjgitWW417\\u002f4WCyoctHWvzkZW4Gqg9W\\u002f9KhaZAzs079vhXev7iDSv+LH5QUYM9C\\u002f0eaF5LFfzL+vuoFd1EXIv02SRci+LsS\\u002fB3tmRTkvwL\\u002fSms+IALO4v40O5IrxeLG\\u002f9LIjO9iSpb\\u002fTBFG3jgCTvwWSPmxTTF4\\u002fYk945NZ6kj+hQhO2ZC2dPxZSsee69J8\\u002fwDIXzxelmD89WGJTZd91P0Akmi\\u002flUJq\\u002fRk9krCh4sb8tCqwv2aW+v2uMyEFTiMa\\u002fCTBDYHe4zb+qrdbAmR\\u002fSv\\u002ff1uhSUytS\\u002f0\\u002fPPNTqy1r+niogb88fXv3D32oYxFti\\u002fRjgitWW417\\u002f4WCyoctHWvzkZW4Gqg9W\\u002f9ahaZAzs079thXev7iDSv+LH5QUYM9C\\u002f1eaF5LFfzL+3uoFd1EXIv1CSRci+LsS\\u002fCHtmRTkvwL\\u002fems+IALO4v48O5IrxeLG\\u002fBrMjO9iSpb\\u002ftBFG3jgCTv0+SPmxTTF4\\u002fN0945NZ6kj+jQhO2ZC2dPxpSsee69J8\\u002ftzIXzxelmD\\u002fhWGJTZd91Pzckmi\\u002flUJq\\u002fPk9krCh4sb8aCqwv2aW+v2uMyEFTiMa\\u002fBjBDYHe4zb+mrdbAmR\\u002fSv\\u002ff1uhSUytS\\u002fGSAxe5q4078GiqzV2sPVvzLolLrq\\u002fNa\\u002f0dHIwzpq17+WyMLcCSXXv7qOeSnpT9a\\u002f\\u002fM\\u002fSPi0O1b8EYjPqYX7Tv\\u002fUs88FKuNG\\u002fxFXrfEqbz7+VdfcUdJjLv7EH7gbBf8e\\u002fc4zQXEdnw7+eX1PciMe+v1ZNMY41D7e\\u002fVbAUO7+Hr7\\u002fskuwdVP2hv51t9ngYzoa\\u002fHyOdhFQmhD\\u002fGjzmuTnqbP4bw13wlqKM\\u002fA4R2CtTMpT9y1+RkcBGjP6eumXMABJU\\u002f5tIdszp0gb9KBHIehEWpv27hKua2hbm\\u002fO9Cuyz\\u002fsw7+u\\u002f5XzmSzLv0oYh5TR7tC\\u002fGSAxe5q4078EiqzV2sPVvzDolLrq\\u002fNa\\u002f0tHIwzpq17+WyMLcCSXXv7mOeSnpT9a\\u002f\\u002fM\\u002fSPi0O1b8GYjPqYX7Tv\\u002fUs88FKuNG\\u002fx1XrfEqbz7+XdfcUdJjLv7oH7gbBf8e\\u002fdYzQXEdnw7+hX1PciMe+v2NNMY41D7e\\u002fWbAUO7+Hr7\\u002f+kuwdVP2hv9Jt9ngYzoa\\u002fJyOdhFQmhD+YjzmuTnqbP4Xw13wlqKM\\u002fCIR2CtTMpT9u1+RkcBGjP82umXMABJU\\u002f5NIdszp0gb86BHIehEWpv13hKua2hbm\\u002fO9Cuyz\\u002fsw7+t\\u002f5XzmSzLv0UYh5TR7tC\\u002fGCAxe5q407\\u002fFIDw4qYnSv45tXX4HutS\\u002fSHCK1LwZ1r+M2y1ycqrWvyg+YgZmgta\\u002f9MwMSTnD1b8tSFA\\u002f95DUv0Oe2b+3C9O\\u002f1TMg7tVM0b9GU9qHa87Ov3\\u002flhTto0sq\\u002foK2FVZK9xr\\u002fCafOFzqXCv2jPuX9MP72\\u002fXmojjBh7tb+Hlxx75jusv1l4mbcNBp2\\u002fKHSb1W3nb79PG32WIBeSPxRQXDKEKKI\\u002fITJOq16lqD+V87eUHY2rP1xzjuTSxak\\u002faRe613VOoj+vuVHHYkOCPwcj7KUmo56\\u002fSlrQJGUqtL\\u002fxpQztOifBvzTyF\\u002f5Ibsi\\u002fa4ig7KBDz7\\u002fFIDw4qYnSv4xtXX4HutS\\u002fRnCK1LwZ1r+M2y1ycqrWvyg+YgZmgta\\u002f88wMSTnD1b8uSFA\\u002f95DUv0We2b+3C9O\\u002f0zMg7tVM0b9LU9qHa87Ov4LlhTto0sq\\u002fqK2FVZK9xr\\u002fEafOFzqXCv2nPuX9MP72\\u002fbGojjBh7tb+Llxx75jusv4J4mbcNBp2\\u002fBXWb1W3nb79OG32WIBeSP\\u002fxPXDKEKKI\\u002fHzJOq16lqD+W87eUHY2rP1dzjuTSxak\\u002fdxe613VOoj\\u002fAuVHHYkOCP\\u002fMi7KUmo56\\u002fOVrQJGUqtL\\u002fxpQztOifBvzDyF\\u002f5Ibsi\\u002fYYig7KBDz7\\u002fEIDw4qYnSv1L\\u002fL0kpQdG\\u002fg\\u002f\\u002fAAmmX07\\u002ffXN8xYiDVv\\u002fu6TyNS2NW\\u002fNAQRuq\\u002fR1b\\u002f1WhkghCzVv1pf1EgtDdS\\u002fti4vADiV0r\\u002fi0r67tN\\u002fQv2KKTFm5Ac6\\u002fTw2qj4cPyr\\u002fe4mqDHAHGv9bFZQoZ7MG\\u002fF5LhUlzJu79bja22hvqzvzAu5kGoFqm\\u002fMkBsDEZZlr94alUYnmNpP9EFHpAj4Jk\\u002fETWjIbZ3pj+qj3R\\u002fe4atPxEyTXQImbA\\u002f6qKbXNQxsD+Yz9TexhCqP6p0KylIFps\\u002flF7wZqDBhL+5c5z1gEitvzbGIx1ChLy\\u002fZP+y91qGxb9s+3EURnnMv1H\\u002fL0kpQdG\\u002fgf\\u002fAAmmX07\\u002fdXN8xYiDVv\\u002fu6TyNS2NW\\u002fNAQRuq\\u002fR1b\\u002f0WhkghCzVv1tf1EgtDdS\\u002fuS4vADiV0r\\u002fh0r67tN\\u002fQv2OKTFm5Ac6\\u002fUg2qj4cPyr\\u002fm4mqDHAHGv9jFZQoZ7MG\\u002fGpLhUlzJu79qja22hvqzvzQu5kGoFqm\\u002fWEBsDEZZlr97aVUYnmNpP9AFHpAj4Jk\\u002f+jSjIbZ3pj+oj3R\\u002fe4atPxEyTXQImbA\\u002f56KbXNQxsD+lz9TexhCqP6t0KylIFps\\u002fWl7wZqDBhL+Uc5z1gEitvzXGIx1ChLy\\u002fYP+y91qGxb9j+3EURnnMv1D\\u002fL0kpQdG\\u002fbFexLzjFz78hSwRpvl7Sv+tghMDVEtS\\u002fj7OFdTb11L8eqPE+3xPVv2qNIYWUjNS\\u002fPum+9o+D07+N1XhOpBvSv08YMe2jcdC\\u002f3D1v6Iw2zb+sJuK5\\u002fFDJv1GoZJVgS8W\\u002fRENsIBQ7wb95jAo9qWe6v7K+eizCj7K\\u002fu5sgZ20dpr8wWmzKywCQv1P5H\\u002fxmD4Q\\u002fGld6726woD8mnqY7YaSqP8APITqYIrE\\u002fG7eXdkVasz9gDP3bwHCzP8RvyODF3bA\\u002f4dC4tBN\\u002fpj9SB\\u002fe8ORWEP3bB8SykBKK\\u002fPZBmOb+Ktr8M8F09e33Cv7IV4wO8hsm\\u002falexLzjFz78fSwRpvl7Sv+lghMDVEtS\\u002fkLOFdTb11L8dqPE+3xPVv2mNIYWUjNS\\u002fPum+9o+D07+P1XhOpBvSv00YMe2jcdC\\u002f3j1v6Iw2zb+vJuK5\\u002fFDJv1qoZJVgS8W\\u002fR0NsIBQ7wb97jAo9qWe6v8C+eizCj7K\\u002fwZsgZ20dpr9RWmzKywCQvxD5H\\u002fxmD4Q\\u002fHFd6726woD8TnqY7YaSqP74PITqYIrE\\u002fG7eXdkVasz9eDP3bwHCzP8pvyODF3bA\\u002f4tC4tBN\\u002fpj96B\\u002fe8ORWEP1bB8SykBKK\\u002fPpBmOb+Ktr8I8F09e33Cv6kV4wO8hsm\\u002faFexLzjFz7\\u002f1kfh2B+PMv2WHYCPOEtG\\u002fSMVGWw\\u002fz0r8NPTsRYQLUv0jBFta0SdS\\u002fymKN2OPj07\\u002fkRowufvTSv\\u002fhKuydWn9G\\u002f5dMWSfgC0L9tZw0LdG3Mv7A8QTwql8i\\u002f2OWRYJacxL\\u002fl\\u002frdG4JLAvyWcp\\u002fmFGrm\\u002fzkm5qHQ7sb8gFDN2mlKjvzsmmpFfB4S\\u002fMZLNbAiMkD+yfxBx5UekP+lZOAvPqa4\\u002fhu0G9Glusz9eOnvEpwe2P+xXdi8onLY\\u002fS10RnSSitD+ACxVRO12vP6JqiyuhdJ4\\u002fziTXSnaQir8D9LB2h3Gwvwo1pDPet76\\u002f7iEf0QF0xr\\u002fzkfh2B+PMv2KHYCPOEtG\\u002fRsVGWw\\u002fz0r8MPTsRYQLUv0jBFta0SdS\\u002fyWKN2OPj07\\u002fjRowufvTSv\\u002fpKuydWn9G\\u002f5NMWSfgC0L9vZw0LdG3Mv7Q8QTwql8i\\u002f4eWRYJacxL\\u002fo\\u002frdG4JLAvyqcp\\u002fmFGrm\\u002f20m5qHQ7sb8mFDN2mlKjv3smmpFfB4S\\u002fD5LNbAiMkD+wfxBx5UekP9RZOAvPqa4\\u002fg+0G9Glusz9fOnvEpwe2P+hXdi8onLY\\u002fUF0RnSSitD+ACxVRO12vP7VqiyuhdJ4\\u002fVCTXSnaQir8C9LB2h3GwvwY1pDPet76\\u002f5iEf0QF0xr\\u002fxkfh2B+PMv4O1b8yQ4sm\\u002f+GhJDaZsz7\\u002f+KEfS+sLRv9w\\u002fwCn5ANO\\u002fD\\u002fikmr9z07\\u002fmLzxZozLTvwknrvb9X9K\\u002fA4dIQ0Yg0b\\u002f6sv6ySifPvxhfqNpApsu\\u002fFyWpBL7hx7\\u002fwLpBURPTDvyPNvCfW5b+\\u002fghOUctfgt7\\u002fMZ7vzqPmvvxto1Qa2taC\\u002fvu+ORFyOcb\\u002fyUWRyhLWWPzs0W2TFs6c\\u002ffhTIKIVCsT9IdJCtK6W1PzYvUW5sn7g\\u002fg+XyTYyxuT9L9Jryi1G4P7af4CSiDLQ\\u002fP5IRB8pcqT8rIoy2awaDP4E1LQBSjaS\\u002f4R+UXcJSuL\\u002fazirZsUjDv4G1b8yQ4sm\\u002f8mhJDaZsz7\\u002f8KEfS+sLRv9s\\u002fwCn5ANO\\u002fDfikmr9z07\\u002fkLzxZozLTvwknrvb9X9K\\u002fBYdIQ0Yg0b\\u002f4sv6ySifPvxhfqNpApsu\\u002fGiWpBL7hx7\\u002f5LpBURPTDvyfNvCfW5b+\\u002fiBOUctfgt7\\u002fnZ7vzqPmvvyFo1Qa2taC\\u002fTvCORFyOcb\\u002fNUWRyhLWWPzo0W2TFs6c\\u002fdBTIKIVCsT9EdJCtK6W1PzUvUW5sn7g\\u002ffuXyTYyxuT9P9Jryi1G4P7af4CSiDLQ\\u002fR5IRB8pcqT+vIoy2awaDP4A1LQBSjaS\\u002f3B+UXcJSuL\\u002fQzirZsUjDv3+1b8yQ4sm\\u002fxFseDjrKxr+S5iY5zZfMv73fDwtshNC\\u002fIODPhgry0b8SyCCAZZLSv9VbMFbJeNK\\u002fxj29MMvF0b+Qv7O\\u002fGp7Qv8Z+qdSVRs6\\u002fGdXUhSXgyr+hkyJr0C\\u002fHv3MQ2XdiUcO\\u002fKMjQ6Cm0vr\\u002fRjq7RX7i2vzg96L7Oo62\\u002f9R2lIp+HnL9LcTRQmlhMP6nI5hDbhJw\\u002fiNZwpWnzqj\\u002fHyg9VaxqzPw9QT08Uxrc\\u002f5LlvVYoguz+d0aahRa+8P1FTLzMY6bs\\u002feJeEWsRUuD\\u002fggRUUDq+xPwx3CIiRGKA\\u002fhv7yQs5ZkL9g0X3ra9mxv9mocynLC8C\\u002fwlseDjrKxr+L5iY5zZfMv7zfDwtshNC\\u002fIeDPhgry0b8QyCCAZZLSv9ZbMFbJeNK\\u002fxz29MMvF0b+Sv7O\\u002fGp7Qv8N+qdSVRs6\\u002fGtXUhSXgyr+kkyJr0C\\u002fHv3sQ2XdiUcO\\u002fKcjQ6Cm0vr\\u002fWjq7RX7i2v1E96L7Oo62\\u002fAR6lIp+HnL9pbTRQmlhMP4HI5hDbhJw\\u002fhtZwpWnzqj+9yg9VaxqzPwxQT08Uxrc\\u002f5blvVYoguz+b0aahRa+8P1NTLzMY6bs\\u002fd5eEWsRUuD\\u002fkgRUUDq+xPyx3CIiRGKA\\u002fgf7yQs5ZkL9b0X3ra9mxv86ocynLC8C\\u002fwFseDjrKxr+0aZiBy5\\u002fDv2G8pnvWq8m\\u002fPrairiNyzr\\u002f4Q9Odg9bQv0eAvPfrpdG\\u002fUIMELCG20b+hg4\\u002f7aiXRv\\u002fAv0fU6GNC\\u002fOzXXW5Bizb8g3jIL2hnKv04pF2ELgMa\\u002ffS5ngISywr+9IpEvvI29vxTXRloanrW\\u002f7rDvPbRvq79DWJyAMPCXv3CkU7+UWnc\\u002f\\u002fwPjO1v\\u002foD+QJWfo\\u002fQeuPzlikR\\u002fB3LQ\\u002fxrsekP3QuT+L5cpUioq9PxTa4ytMlL8\\u002fRuZjGbVmvz9fzvI3S4O8PxcLjpVBmbY\\u002fYmJN+DhQqz\\u002fixuDi\\u002f6SAP0BLF2mvr6a\\u002f5UJbMAaHub+yaZiBy5\\u002fDv1q8pnvWq8m\\u002fOrairiNyzr\\u002f4Q9Odg9bQv0aAvPfrpdG\\u002fT4MELCG20b+hg4\\u002f7aiXRv\\u002fMv0fU6GNC\\u002fOjXXW5Bizb8h3jIL2hnKv1EpF2ELgMa\\u002fhC5ngISywr++IpEvvI29vxfXRloanrW\\u002fCbHvPbRvq79PWJyAMPCXv++jU7+UWnc\\u002f6wPjO1v\\u002foD+OJWfo\\u002fQeuPzBikR\\u002fB3LQ\\u002fwrsekP3QuT+K5cpUioq9PxLa4ytMlL8\\u002fSeZjGbVmvz9fzvI3S4O8PxsLjpVBmbY\\u002fgGJN+DhQqz\\u002ftxuDi\\u002f6SAPzhLF2mvr6a\\u002f0EJbMAaHub+waZiBy5\\u002fDv\\u002fLEehxGaMC\\u002fVQuHk\\u002fGsxr\\u002fcHYA008TLv+ShiS1nXs+\\u002fp6hYyoCu0L9uYtSgXOrQvyjI19RBftC\\u002fvwB\\u002f6M0bz7+ECcIwpXnMv2Lo4OzHUcm\\u002fLklbctXQxb9MgRH4BRbCvzljFIYpb7y\\u002fTyKrgpuOtL\\u002fetxB8wFapvzk8xGktmZO\\u002fV1Ks6BYEhT\\u002f+NrjUW5WjP4+CdTgOerA\\u002fOmH5VEyKtj+GLjgaQMa7P8VLu4ld3b8\\u002fGpwoWwEwwT9SVrxtb2TBP0xEHPyqSsA\\u002fMAp3u1Jouz80rUV+ky2zP\\u002fSqfzDeY6A\\u002fag0zqEdgk7\\u002fJcVexRuqyv+\\u002fEehxGaMC\\u002fTguHk\\u002fGsxr\\u002fYHYA008TLv+OhiS1nXs+\\u002fpqhYyoCu0L9uYtSgXOrQvyjI19RBftC\\u002fwgB\\u002f6M0bz7+ECcIwpXnMv2Xo4OzHUcm\\u002fMklbctXQxb9TgRH4BRbCvztjFIYpb7y\\u002fVCKrgpuOtL\\u002f3txB8wFapv0M8xGktmZO\\u002fF1Ks6BYEhT\\u002fqNrjUW5WjP4yCdTgOerA\\u002fMmH5VEyKtj+CLjgaQMa7P8dLu4ld3b8\\u002fF5woWwEwwT9SVrxtb2TBP0xEHPyqSsA\\u002fMwp3u1Jouz9BrUV+ky2zP\\u002feqfzDeY6A\\u002fVw0zqEdgk7+zcVexRuqyv+3EehxGaMC\\u002ffNWh4pBPur\\u002fN3teSnZ7Dv8h+RN5rA8m\\u002fqn0+dZL5zL9kc45xhVjPv3VMGPskFdC\\u002fuA3LO1Sfz7+S1HcVoPzNv9b87M0bisu\\u002fKmHz+zaGyL9VZ8mveyDFv2bkmiMzesG\\u002f7TJ9Qv5Uu7\\u002ft7P8+aIazvwN5niYcUqe\\u002fNDc+4mjrjr\\u002fk9TWRz+CNP5S7kjonCaY\\u002f\\u002fuddzardsT+INkWiQiS4P79LqTONpr0\\u002fqaeM7JsMwT\\u002f16DKfBYnCP5QKMrA2B8M\\u002f6x\\u002f4QVBEwj8gKnuPRwzAP6zi55Vbl7g\\u002f34BhZSx1rD9dzucjCt15P7DHe8zgk6i\\u002feNWh4pBPur\\u002fG3teSnZ7Dv8R+RN5rA8m\\u002fqX0+dZL5zL9hc45xhVjPv3RMGPskFdC\\u002fuA3LO1Sfz7+V1HcVoPzNv9X87M0bisu\\u002fLGHz+zaGyL9YZ8mveyDFv23kmiMzesG\\u002f7zJ9Qv5Uu7\\u002fy7P8+aIazvxx5niYcUqe\\u002fSDc+4mjrjr+o9TWRz+CNP3+7kjonCaY\\u002f\\u002fuddzardsT+ANkWiQiS4P7pLqTONpr0\\u002fqqeM7JsMwT\\u002fz6DKfBYnCP5QKMrA2B8M\\u002f7R\\u002f4QVBEwj8iKnuPRwzAP7vi55Vbl7g\\u002f44BhZSx1rD+gzucjCt15P4fHe8zgk6i\\u002fc9Wh4pBPur8mxf2jDMOzv+S6YaCcg8C\\u002f4M5qgvQvxr9khgJ5p3\\u002fKv6ZqrQSTPs2\\u002fpVA\\u002fbFRszr93qCUaETLOv3jFUSlf0cy\\u002fT5kBHUWSyr+ouyUpdrXHv7BytNVVbcS\\u002fH4hLBmrdwL+J8VQT9zu6vwIIbyw5grK\\u002f\\u002fVNsMEFbpb+WkympSfKGv3Re4qZnLZM\\u002f5T8pcs5fqD98RnrN2zCzP6+723kbrLk\\u002f3+w3CM1yvz9f2UNsOh\\u002fCPxc8LnAV1cM\\u002fH80TVTibxD8cnYnTqi3EP6aNIr6EU8I\\u002fTmfrhlDhvT8YlHAtRim0PyTMq5M1B6A\\u002fcWQjg4qylr8hxf2jDMOzv9y6YaCcg8C\\u002f3c5qgvQvxr9jhgJ5p3\\u002fKv6JqrQSTPs2\\u002fpVA\\u002fbFRszr93qCUaETLOv3vFUSlf0cy\\u002fTpkBHUWSyr+ouyUpdrXHv7RytNVVbcS\\u002fJYhLBmrdwL+I8VQT9zu6vwgIbyw5grK\\u002fFlRsMEFbpb+qkympSfKGv1Ve4qZnLZM\\u002f0D8pcs5fqD95RnrN2zCzP6i723kbrLk\\u002f2ew3CM1yvz9f2UNsOh\\u002fCPxQ8LnAV1cM\\u002fHs0TVTibxD8enYnTqi3EP6eNIr6EU8I\\u002fXGfrhlDhvT8alHAtRim0PyvMq5M1B6A\\u002fHWQjg4qylr8cxf2jDMOzv89SaldVX6q\\u002f0rEVUvS7ur+podFq+UvDv5rTjzuM8ce\\u002fLyPWJVoPy783IqUHXprMv8HyMcu4s8y\\u002fMLHd5bKYy7+DWl0QoJDJv2WmKu773ca\\u002fWdjKA+G1w78QMVVKMD7Av+0g+uwnIbm\\u002ftA4KFCJ\\u002fsb8xnFbaU2yjv0qaYYSwX36\\u002fPy2ExBNElz8ZW78LS56qPzvNpB22dbQ\\u002fRCHheWsjuz+WHdD\\u002fA5bAP3a0od3FJsM\\u002fFJD9kSAUxT9kteVZESDGP5tOUC36BcY\\u002f0Dro+beIxD8QN6JOI4TBPw29s+QK+rk\\u002fKVV7H4WprD\\u002feyY\\u002fLhxptP8ZSaldVX6q\\u002fxbEVUvS7ur+lodFq+UvDv5nTjzuM8ce\\u002fLCPWJVoPy782IqUHXprMv8LyMcu4s8y\\u002fMbHd5bKYy7+EWl0QoJDJv2WmKu773ca\\u002fXtjKA+G1w78XMVVKMD7Av+8g+uwnIbm\\u002fug4KFCJ\\u002fsb9KnFbaU2yjv3KaYYSwX36\\u002fIy2ExBNElz8CW78LS56qPzrNpB22dbQ\\u002fPSHheWsjuz+THdD\\u002fA5bAP3W0od3FJsM\\u002fEpD9kSAUxT9jteVZESDGP5xOUC36BcY\\u002f0jro+beIxD8WN6JOI4TBPw+9s+QK+rk\\u002fLVV7H4WprD99zI\\u002fLhxptP71SaldVX6q\\u002fsOp2JHFimr+7GMaWSF60v4gf7AaeWMC\\u002fM\\u002fqhS\\u002ftPxb+wGjSeF8vIv7mskLIhtMq\\u002fsIo3B5Qjy79HNE22kFHKv0R3T0byg8i\\u002fBiHrUHv+xb978iQEz\\u002fjCv62Vza15Nr+\\u002femFLhAcCuL804Sprm3qwvxxD2nc9gKG\\u002fVKSKLNY+br+WEXMcXD6bPyxs1JU9yaw\\u002fRUPOfD6utT9DM2fMz4u8P9w4+pSvacE\\u002fH\\u002fu6\\u002f4kjxD86bUWDKUbGP0k5t453lcc\\u002fX93y26TMxz+2nW2O+KrGP2xyLarsBMQ\\u002fSlhMngeqvz+7\\u002fnLIG460P+g5KzuozJ0\\u002fnep2JHFimr+sGMaWSF60v4Qf7AaeWMC\\u002fMvqhS\\u002ftPxb+sGjSeF8vIv7iskLIhtMq\\u002fsYo3B5Qjy79INE22kFHKv0R3T0byg8i\\u002fBiHrUHv+xb9\\u002f8iQEz\\u002fjCv7qVza15Nr+\\u002fe2FLhAcCuL864Sprm3qwvzVD2nc9gKG\\u002fqKSKLNY+br96EXMcXD6bPxRs1JU9yaw\\u002fQ0POfD6utT89M2fMz4u8P9k4+pSvacE\\u002fHvu6\\u002f4kjxD85bUWDKUbGP0c5t453lcc\\u002fX93y26TMxz+3nW2O+KrGP3JyLarsBMQ\\u002fTFhMngeqvz++\\u002fnLIG460Pz46KzuozJ0\\u002fi+p2JHFimr+3\\u002fEhL0ymHvEAOx9Vb4Ku\\u002fgL+uEnitur9CToIpl5vCv0v1H20gcsa\\u002fRJxY+Je5yL+NdJ6KPoHJv1xSKl9G+8i\\u002fELayDlNrx7\\u002fMb3h67BXFv3dj2CIKNcK\\u002fYZuqKezmvb9\\u002fSYyQYty2vwdNAzLi5K6\\u002fURHqXholn7\\u002fpAYokETB7vDUR6l4aJZ8\\u002f90wDMuLkrj98SYyQYty2P1ubqins5r0\\u002fcmPYIgo1wj\\u002fJb3h67BXFPwy2sg5Ta8c\\u002fWVIqX0b7yD+MdJ6KPoHJP0ScWPiXucg\\u002fSvUfbSByxj9CToIpl5vCP4u\\u002frhJ4rbo\\u002fSA7H1Vvgqz+dZwpUvit8PCEOx9Vb4Ku\\u002feb+uEnitur9AToIpl5vCv0f1H20gcsa\\u002fQ5xY+Je5yL+OdJ6KPoHJv15SKl9G+8i\\u002fEbayDlNrx7\\u002fMb3h67BXFv3tj2CIKNcK\\u002fbJuqKezmvb+ASYyQYty2vxVNAzLi5K6\\u002fghHqXholn78zT3tS0hKRvBkR6l4aJZ8\\u002f4EwDMuLkrj96SYyQYty2P1abqins5r0\\u002fbWPYIgo1wj\\u002fIb3h67BXFPwq2sg5Ta8c\\u002fWFIqX0b7yD+MdJ6KPoHJP0ScWPiXucg\\u002fUPUfbSByxj9DToIpl5vCP46\\u002frhJ4rbo\\u002fcg7H1Vvgqz8psqnPyKqZPJnqdiRxYpo\\u002f2jkrO6jMnb+y\\u002fnLIG460v0xYTJ4Hqr+\\u002fbXItquwExL+3nW2O+KrGv2Hd8tukzMe\\u002fSzm3jneVx789bUWDKUbGvyL7uv+JI8S\\u002f4Dj6lK9pwb9JM2fMz4u8v0lDznw+rrW\\u002fO2zUlT3JrL+0EXMcXD6bv+OjiizWPm4\\u002fDEPadz2AoT8s4Sprm3qwP3ZhS4QHArg\\u002fppXNrXk2vz928iQEz\\u002fjCPwMh61B7\\u002fsU\\u002fP3dPRvKDyD9ENE22kFHKP6+KNweUI8s\\u002fuKyQsiG0yj+vGjSeF8vIPzL6oUv7T8U\\u002fjR\\u002fsBp5YwD++GMaWSF60P6vqdiRxYpo\\u002fmzkrO6jMnb+q\\u002fnLIG460v0lYTJ4Hqr+\\u002faXItquwExL+3nW2O+KrGv2Hd8tukzMe\\u002fSzm3jneVx78+bUWDKUbGvyL7uv+JI8S\\u002f5Dj6lK9pwb9SM2fMz4u8v0pDznw+rrW\\u002fSWzUlT3JrL\\u002fiEXMcXD6bv4+jiizWPm4\\u002fAEPadz2AoT8f4Sprm3qwP3JhS4QHArg\\u002foJXNrXk2vz9y8iQEz\\u002fjCPwIh61B7\\u002fsU\\u002fPndPRvKDyD9CNE22kFHKP66KNweUI8s\\u002fuKyQsiG0yj+0GjSeF8vIPzP6oUv7T8U\\u002fjh\\u002fsBp5YwD\\u002fSGMaWSF60P73qdiRxYpo\\u002fxFJqV1Vfqj9TyY\\u002fLhxptvxNVex+Fqay\\u002fD72z5Ar6ub8ON6JOI4TBv9A66Pm3iMS\\u002fmk5QLfoFxr9mteVZESDGvxaQ\\u002fZEgFMW\\u002fd7Sh3cUmw7+ZHdD\\u002fA5bAv0kh4XlrI7u\\u002fP82kHbZ1tL8nW78LS56qv1sthMQTRJe\\u002fF5phhLBffj8gnFbaU2yjP6wOChQif7E\\u002f6iD67CchuT8MMVVKMD7AP1bYygPhtcM\\u002fY6Yq7vvdxj9\\u002fWl0QoJDJPy2x3eWymMs\\u002fwfIxy7izzD83IqUHXprMPy4j1iVaD8s\\u002fmtOPO4zxxz+uodFq+UvDP9exFVL0u7o\\u002fzFJqV1Vfqj9Vx4\\u002fLhxptvwNVex+Fqay\\u002fC72z5Ar6ub8JN6JOI4TBv8866Pm3iMS\\u002fnE5QLfoFxr9lteVZESDGvxeQ\\u002fZEgFMW\\u002fd7Sh3cUmw7+dHdD\\u002fA5bAv1Ih4XlrI7u\\u002fP82kHbZ1tL83W78LS56qv4othMQTRJe\\u002f75lhhLBffj8UnFbaU2yjP6AOChQif7E\\u002f5iD67CchuT8JMVVKMD7AP1HYygPhtcM\\u002fY6Yq7vvdxj9+Wl0QoJDJPyqx3eWymMs\\u002fwvIxy7izzD83IqUHXprMPzIj1iVaD8s\\u002fnNOPO4zxxz+uodFq+UvDP+qxFVL0u7o\\u002f1lJqV1Vfqj8fxf2jDMOzP4FkI4OKspY\\u002fD8yrkzUHoL8ZlHAtRim0v1Fn64ZQ4b2\\u002fpY0ivoRTwr8gnYnTqi3EvyLNE1U4m8S\\u002fGjwucBXVw79j2UNsOh\\u002fCv+vsNwjNcr+\\u002fubvbeRusub+DRnrN2zCzv\\u002fk\\u002fKXLOX6i\\u002fmF7ipmctk79vkympSfKGP+tTbDBBW6U\\u002f+gdvLDmCsj+F8VQT9zu6PxyISwZq3cA\\u002frXK01VVtxD+ouyUpdrXHP0uZAR1Fkso\\u002feMVRKV\\u002fRzD92qCUaETLOP6VQP2xUbM4\\u002fpmqtBJM+zT9khgJ5p3\\u002fKP+XOaoL0L8Y\\u002f5rphoJyDwD8jxf2jDMOzP79kI4OKspY\\u002fA8yrkzUHoL8XlHAtRim0v0Zn64ZQ4b2\\u002fpY0ivoRTwr8fnYnTqi3EvyLNE1U4m8S\\u002fHTwucBXVw79j2UNsOh\\u002fCv\\u002fPsNwjNcr+\\u002fwbvbeRusub+DRnrN2zCzvwdAKXLOX6i\\u002fxV7ipmctk79bkympSfKGP95TbDBBW6U\\u002f7QdvLDmCsj+C8VQT9zu6PxmISwZq3cA\\u002fqHK01VVtxD+muyUpdrXHP0qZAR1Fkso\\u002fdMVRKV\\u002fRzD92qCUaETLOP6ZQP2xUbM4\\u002fqWqtBJM+zT9mhgJ5p3\\u002fKP+XOaoL0L8Y\\u002f77phoJyDwD8oxf2jDMOzP3jVoeKQT7o\\u002fvMd7zOCTqD+rzecjCt15v+CAYWUsday\\u002fqOLnlVuXuL8eKnuPRwzAv+wf+EFQRMK\\u002fkwoysDYHw7\\u002f26DKfBYnCv6unjOybDMG\\u002fxUupM42mvb+NNkWiQiS4vwPoXc2q3bG\\u002foruSOicJpr8a9jWRz+CNvxU3PuJo644\\u002f8nieJhxSpz\\u002fj7P8+aIazP+gyfUL+VLs\\u002fYuSaIzN6wT9RZ8mveyDFPyhh8\\u002fs2hsg\\u002f0fzszRuKyz+P1HcVoPzNP7YNyztUn88\\u002fc0wY+yQV0D9ic45xhVjPP6h9PnWS+cw\\u002fy35E3msDyT\\u002fO3teSnZ7DP3zVoeKQT7o\\u002f3Md7zOCTqD8ozecjCt15v9WAYWUsday\\u002fnuLnlVuXuL8eKnuPRwzAv+wf+EFQRMK\\u002flAoysDYHw7\\u002f46DKfBYnCv6unjOybDMG\\u002fy0upM42mvb+UNkWiQiS4vwPoXc2q3bG\\u002fsbuSOicJpr929jWRz+CNvwE3PuJo644\\u002f5nieJhxSpz\\u002fW7P8+aIazP+QyfUL+VLs\\u002fYOSaIzN6wT9LZ8mveyDFPyhh8\\u002fs2hsg\\u002f0PzszRuKyz+L1HcVoPzNP7YNyztUn88\\u002fc0wY+yQV0D9mc45xhVjPP6p9PnWS+cw\\u002fzH5E3msDyT\\u002fZ3teSnZ7DP4DVoeKQT7o\\u002f78R6HEZowD\\u002fOcVexRuqyP5QNM6hHYJM\\u002f76p\\u002fMN5joL8urUV+ky2zvysKd7tSaLu\\u002fTEQc\\u002fKpKwL9RVrxtb2TBvxqcKFsBMMG\\u002fx0u7iV3dv7+NLjgaQMa7vz9h+VRMira\\u002fkYJ1OA56sL8LN7jUW5Wjv5JSrOgWBIW\\u002fJDzEaS2Zkz\\u002fJtxB8wFapP0Qiq4KbjrQ\\u002fMmMUhilvvD9IgRH4BRbCPypJW3LV0MU\\u002fYejg7MdRyT9\\u002fCcIwpXnMP7wAf+jNG88\\u002fJ8jX1EF+0D9uYtSgXOrQP6eoWMqArtA\\u002f5KGJLWdezz\\u002fgHYA008TLP1YLh5PxrMY\\u002f8sR6HEZowD\\u002fecVexRuqyP7UNM6hHYJM\\u002f56p\\u002fMN5joL8lrUV+ky2zvysKd7tSaLu\\u002fTEQc\\u002fKpKwL9SVrxtb2TBvxycKFsBMMG\\u002fxku7iV3dv7+TLjgaQMa7v0dh+VRMira\\u002fkYJ1OA56sL8cN7jUW5Wjv+pSrOgWBIW\\u002fGjzEaS2Zkz++txB8wFapPzciq4KbjrQ\\u002fMGMUhilvvD9FgRH4BRbCPyNJW3LV0MU\\u002fX+jg7MdRyT9+CcIwpXnMP7gAf+jNG88\\u002fJ8jX1EF+0D9uYtSgXOrQP6eoWMqArtA\\u002f5aGJLWdezz\\u002fgHYA008TLP2ALh5PxrMY\\u002f9MR6HEZowD+zaZiBy5\\u002fDP+xCWzAGh7k\\u002fWksXaa+vpj\\u002fXxuDi\\u002f6SAv1diTfg4UKu\\u002fEguOlUGZtr9fzvI3S4O8v0fmYxm1Zr+\\u002fGNrjK0yUv7+R5cpUioq9v8+7HpD90Lm\\u002fPGKRH8HctL+aJWfo\\u002fQeuvwsE4ztb\\u002f6C\\u002f1qRTv5Rad789WJyAMPCXP+Gw7z20b6s\\u002fDddGWhqetT+5IpEvvI29P3ouZ4CEssI\\u002fTCkXYQuAxj8h3jIL2hnKPzk111uQYs0\\u002f8S\\u002fR9ToY0D+ig4\\u002f7aiXRP0+DBCwhttE\\u002fRoC89+ul0T\\u002f4Q9Odg9bQP0O2oq4jcs4\\u002fY7yme9aryT+1aZiBy5\\u002fDP\\u002ftCWzAGh7k\\u002faEsXaa+vpj+3xuDi\\u002f6SAv0NiTfg4UKu\\u002fEQuOlUGZtr9hzvI3S4O8v0jmYxm1Zr+\\u002fHdrjK0yUv7+P5cpUioq9v9W7HpD90Lm\\u002fRGKRH8HctL+XJWfo\\u002fQeuvxwE4ztb\\u002f6C\\u002feqVTv5Rad78xWJyAMPCXP9Ww7z20b6s\\u002f\\u002f9ZGWhqetT+4IpEvvI29P3kuZ4CEssI\\u002fRikXYQuAxj8e3jIL2hnKPzg111uQYs0\\u002f7y\\u002fR9ToY0D+hg4\\u002f7aiXRP0+DBCwhttE\\u002fSIC89+ul0T\\u002f4Q9Odg9bQP0O2oq4jcs4\\u002fbLyme9aryT+4aZiBy5\\u002fDP8NbHg46ysY\\u002f3ahzKcsLwD9v0X3ra9mxP5j+8kLOWZA\\u002f\\u002fHYIiJEYoL\\u002fWgRUUDq+xv3eXhFrEVLi\\u002fTVMvMxjpu7+d0aahRa+8v+S5b1WKILu\\u002fFFBPTxTGt7\\u002fJyg9Vaxqzv43WcKVp86q\\u002fu8jmENuEnL9hdDRQmlhMv+sdpSKfh5w\\u002fJj3ovs6jrT\\u002fHjq7RX7i2PyPI0OgptL4\\u002fbxDZd2JRwz+ckyJr0C\\u002fHPxfV1IUl4Mo\\u002fwH6p1JVGzj+Pv7O\\u002fGp7QP8Y9vTDLxdE\\u002f1VswVsl40j8QyCCAZZLSPyDgz4YK8tE\\u002fv98PC2yE0D+T5iY5zZfMP8VbHg46ysY\\u002f5ahzKcsLwD930X3ra9mxP7L+8kLOWZA\\u002f43YIiJEYoL\\u002fWgRUUDq+xv3aXhFrEVLi\\u002fTFMvMxjpu7+i0aahRa+8v+S5b1WKILu\\u002fHFBPTxTGt7\\u002fPyg9Vaxqzv4vWcKVp86q\\u002f4MjmENuEnL9geTRQmlhMv98dpSKfh5w\\u002fHj3ovs6jrT+7jq7RX7i2Px\\u002fI0OgptL4\\u002fbBDZd2JRwz+WkyJr0C\\u002fHPxXV1IUl4Mo\\u002fv36p1JVGzj+Mv7O\\u002fGp7QP8Y9vTDLxdE\\u002f1FswVsl40j8RyCCAZZLSPyHgz4YK8tE\\u002fv98PC2yE0D+b5iY5zZfMP8dbHg46ysY\\u002fgbVvzJDiyT\\u002fdzirZsUjDP+wflF3CUrg\\u002fgDUtAFKNpD8SIoy2awaDvy+SEQfKXKm\\u002fuJ\\u002fgJKIMtL9K9Jryi1G4v4Xl8k2Msbm\\u002fOC9RbmyfuL9NdJCtK6W1v4EUyCiFQrG\\u002fQzRbZMWzp78KUmRyhLWWv1LvjkRcjnE\\u002fE2jVBra1oD+5Z7vzqPmvP3kTlHLX4Lc\\u002fHs28J9blvz\\u002foLpBURPTDPxIlqQS+4cc\\u002fE1+o2kCmyz\\u002f0sv6ySifPPwGHSENGINE\\u002fByeu9v1f0j\\u002fkLzxZozLTPwz4pJq\\u002fc9M\\u002f2z\\u002fAKfkA0z\\u002f\\u002fKEfS+sLRP\\u002fdoSQ2mbM8\\u002fg7VvzJDiyT\\u002fkzirZsUjDP\\u002fQflF3CUrg\\u002fiTUtAFKNpD+rIYy2awaDvy+SEQfKXKm\\u002fuJ\\u002fgJKIMtL9I9Jryi1G4v4rl8k2Msbm\\u002fNy9RbmyfuL9TdJCtK6W1v4cUyCiFQrG\\u002fQjRbZMWzp78vUmRyhLWWv6rujkRcjnE\\u002fDWjVBra1oD+wZ7vzqPmvP2kTlHLX4Lc\\u002fGM28J9blvz\\u002foLpBURPTDPwslqQS+4cc\\u002fEl+o2kCmyz\\u002fysv6ySifPP\\u002f+GSENGINE\\u002fByeu9v1f0j\\u002fjLzxZozLTPw34pJq\\u002fc9M\\u002f2z\\u002fAKfkA0z\\u002f\\u002fKEfS+sLRPwBpSQ2mbM8\\u002fhbVvzJDiyT\\u002fykfh2B+PMP\\u002fAhH9EBdMY\\u002fFDWkM963vj\\u002f\\u002f87B2h3GwP94k10p2kIo\\u002fkGqLK6F0nr+GCxVRO12vv1BdEZ0korS\\u002f71d2Lyictr9mOnvEpwe2v5DtBvRpbrO\\u002f8Fk4C8+prr+9fxBx5Uekv06SzWwIjJC\\u002f+yWakV8HhD8XFDN2mlKjP8NJuah0O7E\\u002fHJyn+YUauT\\u002fj\\u002frdG4JLAP9PlkWCWnMQ\\u002frDxBPCqXyD9tZw0LdG3MP+LTFkn4AtA\\u002f9kq7J1af0T\\u002fjRowufvTSP8lijdjj49M\\u002fSMEW1rRJ1D8MPTsRYQLUP0nFRlsP89I\\u002fZYdgI84S0T\\u002f0kfh2B+PMP\\u002fchH9EBdMY\\u002fGzWkM963vj8F9LB2h3GwP0ol10p2kIo\\u002fkWqLK6F0nr+KCxVRO12vv0xdEZ0korS\\u002f9Fd2Lyictr9kOnvEpwe2v5btBvRpbrO\\u002f+lk4C8+prr+6fxBx5Uekv3SSzWwIjJC\\u002fqCWakV8HhD8RFDN2mlKjP8BJuah0O7E\\u002fDZyn+YUauT\\u002fh\\u002frdG4JLAP9HlkWCWnMQ\\u002fpDxBPCqXyD9qZw0LdG3MP+LTFkn4AtA\\u002f80q7J1af0T\\u002fjRowufvTSP8dijdjj49M\\u002fSMEW1rRJ1D8NPTsRYQLUP0jFRlsP89I\\u002faYdgI84S0T\\u002f2kfh2B+PMP2pXsS84xc8\\u002fthXjA7yGyT8S8F09e33CP0CQZjm\\u002firY\\u002fiMHxLKQEoj\\u002fyBve8ORWEv9zQuLQTf6a\\u002fwW\\u002fI4MXdsL9fDP3bwHCzvxy3l3ZFWrO\\u002fww8hOpgisb8onqY7YaSqvyBXeu9usKC\\u002fdfkf\\u002fGYPhL8aWmzKywCQP7WbIGdtHaY\\u002fqb56LMKPsj9vjAo9qWe6P0JDbCAUO8E\\u002fSqhklWBLxT+nJuK5\\u002fFDJP9o9b+iMNs0\\u002fShgx7aNx0D+L1XhOpBvSPzzpvvaPg9M\\u002faI0hhZSM1D8cqPE+3xPVP4+zhXU29dQ\\u002f6mCEwNUS1D8gSwRpvl7SP2xXsS84xc8\\u002fvBXjA7yGyT8W8F09e33CP0WQZjm\\u002firY\\u002foMHxLKQEoj\\u002f2Bve8ORWEv93QuLQTf6a\\u002fvG\\u002fI4MXdsL9mDP3bwHCzvxq3l3ZFWrO\\u002fyQ8hOpgisb8wnqY7YaSqvxxXeu9usKC\\u002fwfkf\\u002fGYPhL\\u002fyWWzKywCQP6+bIGdtHaY\\u002fpr56LMKPsj9fjAo9qWe6P0BDbCAUO8E\\u002fTKhklWBLxT+fJuK5\\u002fFDJP9Y9b+iMNs0\\u002fSxgx7aNx0D+J1XhOpBvSPz3pvvaPg9M\\u002faI0hhZSM1D8cqPE+3xPVP4+zhXU29dQ\\u002f7GCEwNUS1D8lSwRpvl7SP25XsS84xc8\\u002fT\\u002f8vSSlB0T9o+3EURnnMP2P\\u002fsvdahsU\\u002fKsYjHUKEvD+sc5z1gEitP4xe8GagwYQ\\u002f0XQrKUgWm7+oz9TexhCqv\\u002fCim1zUMbC\\u002fGjJNdAiZsL\\u002fDj3R\\u002fe4atvx81oyG2d6a\\u002f8wUekCPgmb+2a1UYnmNpvwpAbAxGWZY\\u002fHi7mQagWqT9Oja22hvqzPwiS4VJcybs\\u002f08VlChnswT\\u002fW4mqDHAHGP0kNqo+HD8o\\u002fW4pMWbkBzj\\u002fe0r67tN\\u002fQP7UuLwA4ldI\\u002fV1\\u002fUSC0N1D\\u002fyWhkghCzVPzAEEbqv0dU\\u002f+LpPI1LY1T\\u002fdXN8xYiDVP4D\\u002fwAJpl9M\\u002fUP8vSSlB0T9w+3EURnnMP2b\\u002fsvdahsU\\u002fL8YjHUKEvD\\u002fDc5z1gEitP4Ze8GagwYQ\\u002f1XQrKUgWm7+hz9TexhCqv\\u002fiim1zUMbC\\u002fGjJNdAiZsL\\u002fPj3R\\u002fe4atvyY1oyG2d6a\\u002f6wUekCPgmb\\u002flbFUYnmNpv+Y\\u002fbAxGWZY\\u002fGi7mQagWqT9Lja22hvqzP\\u002fqR4VJcybs\\u002f0MVlChnswT\\u002fV4mqDHAHGP0INqo+HD8o\\u002fWIpMWbkBzj\\u002fd0r67tN\\u002fQP7IuLwA4ldI\\u002fWF\\u002fUSC0N1D\\u002fxWhkghCzVPzAEEbqv0dU\\u002f+bpPI1LY1T\\u002fdXN8xYiDVP4P\\u002fwAJpl9M\\u002fUf8vSSlB0T\\u002fEIDw4qYnSP22IoOygQ88\\u002fOfIX\\u002fkhuyD\\u002fwpQztOifBP05a0CRlKrQ\\u002fKCPspSajnj\\u002fOuVHHYkOCv2wXutd1TqK\\u002fYnOO5NLFqb+g87eUHY2rvy4yTqtepai\\u002fH1BcMoQoor9rG32WIBeSvwdzm9Vt528\\u002fNHiZtw0GnT93lxx75jusP1JqI4wYe7U\\u002fW8+5f0w\\u002fvT\\u002fAafOFzqXCP5ithVWSvcY\\u002fe+WFO2jSyj9CU9qHa87OP9IzIO7VTNE\\u002fQZ7Zv7cL0z8tSFA\\u002f95DUP\\u002fPMDEk5w9U\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002fJ+Gu20mWkT9+32bZ1uyePwlpgX2dx6g\\u002f9widn+8Hsj8C9YQ8t2q4P2+9Tu3jYr8\\u002foxrl7U9owz\\u002fdG1HvW0rHPz47aoYHRss\\u002fOsmDMK5Hzz+Pgl0VOZ3RPz+ctTZIhNM\\u002fSmLsZBVN1T+wqJM7QenWP7aRhARFRtg\\u002fpdnv0DBM2T\\u002f0R+tc393ZP4eK3n2e29k\\u002f0UiZJ80o2T9qSRkX07PXPyV8lphrftU\\u002fUhbsRUaj0j\\u002fHlSZMdqzOPwKXWxvUu8c\\u002fMrASIwMQwT8pJWG3\\u002f222P5iroGAiaKo\\u002f3lR9hQCGmz\\u002flGPyaOBGMP4Zh6w2XnIY\\u002fJuGu20mWkT+L32bZ1uyeP\\u002fVogX2dx6g\\u002f7widn+8Hsj8A9YQ8t2q4P2y9Tu3jYr8\\u002fnBrl7U9owz\\u002fZG1HvW0rHPz47aoYHRss\\u002fMcmDMK5Hzz+Ogl0VOZ3RPz2ctTZIhNM\\u002fR2LsZBVN1T+vqJM7QenWP7SRhARFRtg\\u002fpNnv0DBM2T\\u002f2R+tc393ZP4eK3n2e29k\\u002f00iZJ80o2T9rSRkX07PXP\\u002fd0gc65Cdg\\u002fwMSWy4Dt1T+GNl2jci7TPytYwrY5+c8\\u002f+5X0CxE1yT8fER\\u002fLKqXCP+MBVodyqLk\\u002fDHpQjYNYsD8s+BYcAqWjP+TaTe6qvJg\\u002f+M2oJIzllD9zemLb0C2aP8+b8XBRXKM\\u002fn2W5NDpjrD8M\\u002f1hmfLuzP1JsPPJECro\\u002fq0uX9h14wD89nLUuNiXEP9J8ASAb\\u002fMc\\u002fpl90YDvryz+vooqDXN\\u002fPP2YnELEc4tE\\u002fmDMJRFnC0z9h1+T7yYTVP\\u002fgIY+B1G9c\\u002fILAt42p02D+EF8YKnXjZP4lAIx8mDNo\\u002f3NtdlcQQ2j81aVrSCmvZP\\u002fh0gc65Cdg\\u002fxMSWy4Dt1T+GNl2jci7TPy1YwrY5+c8\\u002fAJb0CxE1yT8dER\\u002fLKqXCP+QBVodyqLk\\u002fFHpQjYNYsD8a+BYcAqWjP\\u002fPaTe6qvJg\\u002f6s2oJIzllD9xemLb0C2aP9ab8XBRXKM\\u002fj2W5NDpjrD8E\\u002f1hmfLuzP1BsPPJECro\\u002fqUuX9h14wD81nLUuNiXEP9B8ASAb\\u002fMc\\u002fp190YDvryz+qooqDXN\\u002fPP2YnELEc4tE\\u002fmDMJRFnC0z9f1+T7yYTVP\\u002fkIY+B1G9c\\u002fH7At42p02D+DF8YKnXjZP4pAIx8mDNo\\u002f2ttdlcQQ2j83aVrSCmvZP\\u002fh0gc65Cdg\\u002fnyffEJcz2D\\u002fZVxj+Ii7WP4+D+wPvitM\\u002fezNltZF20D+KZ+ckl17KP0h8VaYG98M\\u002f5qn9Rvh3vD8\\u002fMwIYvCyzPwfqVqn\\u002fE6k\\u002fhDCCtE5noT9wPYwfIQaeP5JBvvVYMqE\\u002f51VEGx8Vpz8uyoGyZ9CvP7JbffkiVrU\\u002fmZdkveeOuz+iDDaUMjDBP3uvNAMg0sQ\\u002fmLyjIgecyD8MOw39MnzMP9M4RJ7jL9A\\u002fLh8j\\u002fIwZ0j9cZ9D02\\u002fDTP4TKA5COqtU\\u002fvOXE7A051z+xiiVx64rYPzLerOzjidk\\u002fbzNvvT4b2j97p5HrRCLaP5VbB3Mfhdk\\u002foCffEJcz2D\\u002fcVxj+Ii7WP5CD+wPvitM\\u002ffTNltZF20D+QZ+ckl17KP0d8VaYG98M\\u002f6an9Rvh3vD9IMwIYvCyzP\\u002ffpVqn\\u002fE6k\\u002fiTCCtE5noT9gPYwfIQaeP5RBvvVYMqE\\u002f5VVEGx8Vpz8ayoGyZ9CvP6xbffkiVrU\\u002fl5dkveeOuz+hDDaUMjDBP3OvNAMg0sQ\\u002flLyjIgecyD8NOw39MnzMP9A4RJ7jL9A\\u002fLB8j\\u002fIwZ0j9bZ9D02\\u002fDTP4HKA5COqtU\\u002fvOXE7A051z+viiVx64rYPzLerOzjidk\\u002fcDNvvT4b2j97p5HrRCLaP5dbB3Mfhdk\\u002foCffEJcz2D+lFtP4NzDYP+nnbokEP9Y\\u002fAie2dQq30z\\u002f0Ero40cHQP6qC60qMMss\\u002fXJ0A3bD+xD8OoatUrc2+P4SAuDbzobU\\u002f6EFW08b0rT\\u002fmCIQwxAemP5CtHzGmRKM\\u002f\\u002fi06tI0NpT93yj+zEpOqP5kRrRQBgbE\\u002fD7OgYvnQtj\\u002faWtTK+vC8P49puup01cE\\u002fJsMmdXxqxT+D6AhyWSXJP+XXRgcS9Mw\\u002fvktPkghi0D\\u002fBA2wPHkHSP14rGTxkDdQ\\u002fA3s3oPK71T8XyKmRlT\\u002fXP+6OVYxch9g\\u002ft5eH9b592T9Y9uV2JQnaP\\u002fF6lB1zDto\\u002f82hztq912T+mFtP4NzDYP+rnbokEP9Y\\u002fAye2dQq30z\\u002f1Ero40cHQP7CC60qMMss\\u002fW50A3bD+xD8QoatUrc2+P4qAuDbzobU\\u002f20FW08b0rT\\u002ftCIQwxAemP4utHzGmRKM\\u002fAi46tI0NpT95yj+zEpOqP48RrRQBgbE\\u002fCLOgYvnQtj\\u002fYWtTK+vC8P41puup01cE\\u002fHsMmdXxqxT+A6AhyWSXJP+jXRgcS9Mw\\u002fu0tPkghi0D\\u002fAA2wPHkHSP14rGTxkDdQ\\u002fAXs3oPK71T8ZyKmRlT\\u002fXP+2OVYxch9g\\u002ftpeH9b592T9X9uV2JQnaP\\u002fB6lB1zDto\\u002f9Whztq912T+nFtP4NzDYPwUkLBPt\\u002ftc\\u002fFynqYoIf1j8ur1Gz2rHTP275Gnfg3NA\\u002f+ZRVcI2syz9UmAqsa7bFP7ZrZBAWTsA\\u002f9lT9NgKqtz+UfxqD8RWxP4J3BQboJqo\\u002fwRlEvUQipz+Mi1zZtpaoPy4FUhHnxq0\\u002fro1rLf70sj+P5tMI8CS4P1ASda7yKL4\\u002f1xLXyspjwj+bGrJJ5enFP00t5l96k8k\\u002fVssDYi1OzT9ZUrQLyYPQP6\\u002fjXi+CVtI\\u002f91YxmqkV1D+VmmIfr7bVPx7MBtPGLNc\\u002fYCF5hYNn2D+F1oiNF1LZPzS+wKcK1Nk\\u002fOnUr+eTT2T8LFSTWvTvZPwUkLBPt\\u002ftc\\u002fGSnqYoIf1j8wr1Gz2rHTP2\\u002f5Gnfg3NA\\u002f\\u002f5RVcI2syz9SmAqsa7bFP7drZBAWTsA\\u002f\\u002flT9NgKqtz+NfxqD8RWxP4h3BQboJqo\\u002fuxlEvUQipz+Li1zZtpaoPzAFUhHnxq0\\u002fpY1rLf70sj+K5tMI8CS4P04Sda7yKL4\\u002f1BLXyspjwj+TGrJJ5enFP0kt5l96k8k\\u002fVssDYi1OzT9VUrQLyYPQP6\\u002fjXi+CVtI\\u002f9lYxmqkV1D+TmmIfr7bVPx3MBtPGLNc\\u002fYCF5hYNn2D+E1oiNF1LZPzW+wKcK1Nk\\u002fOXUr+eTT2T8MFSTWvTvZPwckLBPt\\u002ftc\\u002fu3NATZyf1z8jnApWsc\\u002fVP0ATWLhJe9M\\u002fhDnp3yTH0D\\u002fgv5jH48nLP4bVC5vkGcY\\u002fbRWOoxDswD+xQPJD8Te5P7SapURDz7I\\u002ffno0Ni+rrT\\u002fSOzUACYWqP0eR4BkQuqs\\u002fjSqqp8hPsD\\u002fGdzB1hjy0PytFNamxSrk\\u002ft2avyFIvvz9wwXV9QtfCPwetNuIyTMY\\u002fQoTWMR7iyT8ROx08LobNP7xGG8n+ktA\\u002fUoP7TZ5X0j\\u002f15gs3nQfUP1IieU2\\u002fmNU\\u002fJeyKfqb+1j\\u002fkLp7BdinYPyFYtAgsBdk\\u002fWbjN3Hd62T\\u002fEL3Nmk3HZP7E1GC\\u002fD1tg\\u002fvHNATZyf1z8lnApWsc\\u002fVP0ITWLhJe9M\\u002fhTnp3yTH0D\\u002flv5jH48nLP4XVC5vkGcY\\u002fbRWOoxDswD+3QPJD8Te5P66apURDz7I\\u002fgno0Ni+rrT\\u002fNOzUACYWqP0aR4BkQuqs\\u002fjiqqp8hPsD+\\u002fdzB1hjy0PyJFNamxSrk\\u002ftWavyFIvvz9vwXV9QtfCPwCtNuIyTMY\\u002fPoTWMR7iyT8ROx08LobNP7lGG8n+ktA\\u002fUYP7TZ5X0j\\u002f15gs3nQfUP1AieU2\\u002fmNU\\u002fJuyKfqb+1j\\u002fjLp7BdinYPyFYtAgsBdk\\u002fWrjN3Hd62T\\u002fEL3Nmk3HZP7I1GC\\u002fD1tg\\u002fvHNATZyf1z+7WxDq0hLXP5AhnDtoUNU\\u002fXzXqTh0U0z8B49Qm74DQP7jW6+Wpics\\u002fEF+IBWsmxj\\u002fokL5FaTzBP0Kx+ieHQLo\\u002fRDdjPsoZtD+IvvIZkj2wP7FZLr30VK0\\u002fKbbRqBZirj\\u002fNgJzhGoWxPwSV8VM\\u002fT7U\\u002fLL78dIk6uj9y8+0cn\\u002fy\\u002fPzO\\u002fD44VLMM\\u002fPzSpwYmNxj9Lzd76Ww3KP9aAfPYvmM0\\u002fnWcQz8KN0D\\u002fNfuRvnULSP0r2ak1\\u002f4dM\\u002fvFInAHlg1T9ZpNufoLPWP\\u002fil0Ta\\u002fy9c\\u002fnYjxZLWV2D\\u002f0U2rEdvvYP6kLyN\\u002f95tg\\u002fgzvf4stG2D+8WxDq0hLXP5IhnDtoUNU\\u002fYTXqTh0U0z8C49Qm74DQP73W6+Wpics\\u002fEF+IBWsmxj\\u002fpkL5FaTzBP0ix+ieHQLo\\u002fPjdjPsoZtD+LvvIZkj2wP6xZLr30VK0\\u002fK7bRqBZirj\\u002fNgJzhGoWxP\\u002fuU8VM\\u002fT7U\\u002fJr78dIk6uj9w8+0cn\\u002fy\\u002fPzG\\u002fD44VLMM\\u002fOTSpwYmNxj9Izd76Ww3KP9aAfPYvmM0\\u002fmmcQz8KN0D\\u002fNfuRvnULSP0n2ak1\\u002f4dM\\u002fulInAHlg1T9YpNufoLPWP\\u002fel0Ta\\u002fy9c\\u002fnYjxZLWV2D\\u002f1U2rEdvvYP6gLyN\\u002f95tg\\u002fhDvf4stG2D+8WxDq0hLXP9nTPrXUWdY\\u002fISMHYUWj1D+3uA1e933SP1LjdAd9C9A\\u002f6d\\u002f\\u002fjt3syj9t21u3FdvFP9FlQKBHPME\\u002fHUh1AtK6uj\\u002f\\u002f\\u002flk9X+q0P2ym3bs1P7E\\u002fVqujcrx5rz8Zs6UlCDywPzhQVrw0ebI\\u002fgAmGfR4ktj+QQjfLW+y6P8vYV5WqRMA\\u002fGzn+b6pewz95acz9Y6rGPzmkGiK\\u002fEco\\u002fSFAjxtiAzT8SIWihfHLQP7ASfkkCFtI\\u002fxOvNAvOh0z\\u002ff1Q4lowzVPyu6bKyiStY\\u002fhObPKHdN1z\\u002f8QEY8CgPYPw8lSsm1Vtg\\u002fSCRGKEw02D\\u002fkR+K+kIzXP9nTPrXUWdY\\u002fIiMHYUWj1D+3uA1e933SP1PjdAd9C9A\\u002f7t\\u002f\\u002fjt3syj9t21u3FdvFP9JlQKBHPME\\u002fJEh1AtK6uj\\u002f6\\u002flk9X+q0P26m3bs1P7E\\u002fUqujcrx5rz8as6UlCDywPztQVrw0ebI\\u002feQmGfR4ktj+KQjfLW+y6P8rYV5WqRMA\\u002fGTn+b6pewz90acz9Y6rGPzekGiK\\u002fEco\\u002fSVAjxtiAzT8OIWihfHLQP64SfkkCFtI\\u002fw+vNAvOh0z\\u002fe1Q4lowzVPyy6bKyiStY\\u002fgubPKHdN1z\\u002f8QEY8CgPYPw8lSsm1Vtg\\u002fRyRGKEw02D\\u002fkR+K+kIzXP9nTPrXUWdY\\u002fvHEXKKV21T8rSxMMrcrTPzc2z8NNu9E\\u002fKaRU4OHRzj+1cqycW\\u002fbJP3+y6ufTOMU\\u002fwUDbU4DqwD+hpWKjnqC6P3sNulPRN7U\\u002fTRYiynXPsT\\u002fhUP3n6m2wP8qYRqhy8rA\\u002fiCF2TGUhsz8vi+WxlrG2P+FQXZO7V7s\\u002fQsmSvvpmwD99afb2mGvDPxZvhVSZn8Y\\u002fR5Xl\\u002f1TsyT+QkJFGbT3NP0Ek79TuP9A\\u002fUo3\\u002fOLbQ0T+msw50D0jTP8yqjOKInNQ\\u002fYgRCPjHD1T+lYAsxY67WP4d8sQg7Tdc\\u002fdfxTs6WM1z9POQ5kaVrXPzcfmwuLqdY\\u002fvHEXKKV21T8uSxMMrcrTPzg2z8NNu9E\\u002fK6RU4OHRzj+6cqycW\\u002fbJP36y6ufTOMU\\u002fwkDbU4DqwD+npWKjnqC6P3YNulPRN7U\\u002fTxYiynXPsT\\u002ffUP3n6m2wP8uYRqhy8rA\\u002fiiF2TGUhsz8mi+WxlrG2P9lQXZO7V7s\\u002fQcmSvvpmwD97afb2mGvDPxFvhVSZn8Y\\u002fRpXl\\u002f1TsyT+PkJFGbT3NPz8k79TuP9A\\u002fUI3\\u002fOLbQ0T+nsw50D0jTP8qqjOKInNQ\\u002fYgRCPjHD1T+kYAsxY67WP4V8sQg7Tdc\\u002fdvxTs6WM1z9POQ5kaVrXPzkfmwuLqdY\\u002fvHEXKKV21T\\u002fAcjg5B2zUP5jFWRm\\u002fydI\\u002fNOr6v1jP0D8QHnUPfjjNP54a94HEqsg\\u002frxLw1GZCxD9WCjHtqEfAP9wX\\u002fL\\u002fT7rk\\u002fXOCmNmn7tD9e3xYMAeWxP126KkXasrA\\u002fyz+RGSFJsT9GgbSI9nKzP\\u002fSWMMnt7bY\\u002fXAM7+iF0uz+xFaiEkmHAPwSc6wW1T8M\\u002frYEihmhqxj+UOAwduJrJP6AvBFPfy8w\\u002faDaHFYHqzz9Np3OjFHLRPzlmX4ds09I\\u002fCcJufgcQ1D8asfIKdx3VPzv8OJoC79U\\u002fzbWr+SN11j81SnTdi57WP2Ozd90TW9Y\\u002fjRh09v2f1T\\u002fBcjg5B2zUP5nFWRm\\u002fydI\\u002fNer6v1jP0D8THnUPfjjNP6Ma94HEqsg\\u002frhLw1GZCxD9WCjHtqEfAP+EX\\u002fL\\u002fT7rk\\u002fV+CmNmn7tD9g3xYMAeWxP1y6KkXasrA\\u002fyT+RGSFJsT9IgbSI9nKzP++WMMnt7bY\\u002fVgM7+iF0uz+wFaiEkmHAPwOc6wW1T8M\\u002fp4Eihmhqxj+TOAwduJrJP58vBFPfy8w\\u002fZDaHFYHqzz9Np3OjFHLRPzhmX4ds09I\\u002fB8JufgcQ1D8asfIKdx3VPzn8OJoC79U\\u002fzbWr+SN11j82SnTdi57WP2Kzd90TW9Y\\u002fjRh09v2f1T\\u002fCcjg5B2zUPzdCBStxPdM\\u002fCHDyLUKk0T\\u002fuEGHa7nvPPwjObCkfUss\\u002fWn+sSkkQxz81k\\u002fKiQvzCP4mkoesorL4\\u002fVuZ9CaeluD+l\\u002fawsVDG0PwWwenvUeLE\\u002fpykkA42CsD97P8zU9DWxP8KtfMHFY7M\\u002fFYp7abjPtj9bL6\\u002f3SDm7PxO2SMr0MMA\\u002fPxQOrSEIwz9v0loKhAjGP85UXXsaG8k\\u002f2H7hitgqzD91IP3mBiTPPyhjB8Lx+dA\\u002f1W9aFSpE0j+GO5A6lWfTP3VcxO9KWtQ\\u002fr58GgZQQ1T\\u002fBZlxKcXzVP1TL826FjtU\\u002f6YpLqt041T9L8ecS8nLUPzhCBStxPdM\\u002fCXDyLUKk0T\\u002fvEGHa7nvPPwrObCkfUss\\u002fXn+sSkkQxz80k\\u002fKiQvzCP4qkoesorL4\\u002fWuZ9CaeluD+h\\u002fawsVDG0PwawenvUeLE\\u002fpSkkA42CsD98P8zU9DWxP8KtfMHFY7M\\u002fD4p7abjPtj9UL6\\u002f3SDm7PxG2SMr0MMA\\u002fPhQOrSEIwz9p0loKhAjGP81UXXsaG8k\\u002f2H7hitgqzD9xIP3mBiTPPyhjB8Lx+dA\\u002f1W9aFSpE0j+FO5A6lWfTP3VcxO9KWtQ\\u002fr58GgZQQ1T\\u002fBZlxKcXzVP1PL826FjtU\\u002f6IpLqt041T9N8ecS8nLUPzhCBStxPdM\\u002f3XJQ1\\u002fLu0T+m+AfWg17QPyYUWf8UF80\\u002fbYpEFS8nyT98NdqlYi7FP6YpMPRWbME\\u002fcjENO24zvD\\u002fm+H6FpMi2P9llyKnq2LI\\u002fuwJDMLeGsD+kDna1VqyvP1Fv3HuLsLA\\u002ffZrJn\\u002fDqsj9pYqDBcU62Px1b\\u002f3Ojn7o\\u002fNBZR5\\u002f+jvz\\u002fugBhobZLCP2AHhlojeMU\\u002fT3uR\\u002fE9syD8f21z0wFnLP7DT9z9sLM4\\u002fXDLuKJxo0D8oI6BF8JrRP+Y06Lg\\u002fpNI\\u002fqX6+eyt70z9ScgUHEBXUPzMZDDyUZdQ\\u002fW4Ddgnlf1D\\u002fHcBT4G\\u002ffTP7t5\\u002f+EgJtM\\u002f3XJQ1\\u002fLu0T+n+AfWg17QPygUWf8UF80\\u002fcIpEFS8nyT9\\u002fNdqlYi7FP6UpMPRWbME\\u002fdDENO24zvD\\u002fq+H6FpMi2P9VlyKnq2LI\\u002fvQJDMLeGsD+gDna1VqyvP1Bv3HuLsLA\\u002ff5rJn\\u002fDqsj9jYqDBcU62PxZb\\u002f3Ojn7o\\u002fMhZR5\\u002f+jvz\\u002fsgBhobZLCP1sHhlojeMU\\u002fTHuR\\u002fE9syD8f21z0wFnLP6nT9z9sLM4\\u002fXDLuKJxo0D8oI6BF8JrRP+U06Lg\\u002fpNI\\u002fqn6+eyt70z9RcgUHEBXUPzIZDDyUZdQ\\u002fXIDdgnlf1D\\u002fGcBT4G\\u002ffTP715\\u002f+EgJtM\\u002f3nJQ1\\u002fLu0T+Rap2ODoXQPwh8gjxc+s0\\u002fJv864Ix5yj8akh660cDGP5vKWmh1DcM\\u002fV\\u002fFvc4Mzvz+xA4An4y+5PxBHjkeEXrQ\\u002f8TY1ccn0sD\\u002fg7NB5IxuuP+gbWxlbU60\\u002fNJ8d28tlrz\\u002fLtzdRhQGyP\\u002fPfefMgY7U\\u002fFhyu\\u002f+iguT9vvJw3RoS+P8Rmu4q27ME\\u002ffiB9CRm4xD+3hH+U2Y3HP5rC0E3CWMo\\u002fR4etV4UEzT8uTwCIsX3PP4j5kpLo2NA\\u002fCszjNKHH0T+8e7JRL4LSPw+caSMP\\u002f9I\\u002fHulodKgz0z8TUg4V+hTTPyLsXdXEmdI\\u002fXZmEPdC90T+Rap2ODoXQPwx8gjxc+s0\\u002fJ\\u002f864Ix5yj8bkh660cDGP57KWmh1DcM\\u002fV\\u002fFvc4Mzvz+yA4An4y+5PxVHjkeEXrQ\\u002f7jY1ccn0sD\\u002fj7NB5IxuuP+MbWxlbU60\\u002fNJ8d28tlrz\\u002fMtzdRhQGyP+7fefMgY7U\\u002fDxyu\\u002f+iguT9tvJw3RoS+P8Jmu4q27ME\\u002feSB9CRm4xD+2hH+U2Y3HP5nC0E3CWMo\\u002fQ4etV4UEzT8sTwCIsX3PP4f5kpLo2NA\\u002fCczjNKHH0T+7e7JRL4LSPw+caSMP\\u002f9I\\u002fH+lodKgz0z8UUg4V+hTTPyPsXdXEmdI\\u002fX5mEPdC90T+Sap2ODoXQP7qqWuIMCc4\\u002fkrCkMSkKyz\\u002ftn0KL\\u002fqzHP966BEN6KMQ\\u002fNIcE3Gm2wD9DL5\\u002fa4Ri7PxDeXRiOrrU\\u002faevKfc9wsT8+muLacBWtP4PtUCUtH6o\\u002fP1viWHr4qT9OAtoo5nOsP9Z5LDwjo7A\\u002frskGKvsItD8YKcmSpzi4P97+x6Mx\\u002f7w\\u002fxBL4Z9UVwT\\u002fTrvDf7MfDP67CV4jxf8Y\\u002fyKGjy8goyT9b9UxY9K3LP9yr4kaz+80\\u002fbaR3eF\\u002f\\u002fzz+Qw\\u002fjkzNPQPzsXtPbqcdE\\u002fQISHHK3R0T+5VEFRS+rRP5RXj6oVs9E\\u002f84bYjz0l0T9DKIOqnz7QP7uqWuIMCc4\\u002flbCkMSkKyz\\u002fvn0KL\\u002fqzHP+C6BEN6KMQ\\u002fN4cE3Gm2wD9DL5\\u002fa4Ri7PxLeXRiOrrU\\u002fbevKfc9wsT86muLacBWtP4btUCUtH6o\\u002fPFviWHr4qT9JAtoo5nOsP9V5LDwjo7A\\u002fqckGKvsItD8RKcmSpzi4P9z+x6Mx\\u002f7w\\u002fwhL4Z9UVwT\\u002fOrvDf7MfDP6zCV4jxf8Y\\u002fyKGjy8goyT9X9UxY9K3LP9ur4kaz+80\\u002fa6R3eF\\u002f\\u002fzz+Pw\\u002fjkzNPQPzwXtPbqcdE\\u002fQYSHHK3R0T+6VEFRS+rRP5VXj6oVs9E\\u002f84bYjz0l0T9EKIOqnz7QP7yqWuIMCc4\\u002fxMPO2UPkyj9tl0g\\u002f+PXHP9bC9HTiusQ\\u002flL07xntnwT+DHlzSeWS8P4sCGc1zmbY\\u002f6G7TmQa+sT\\u002f3cVslthasP5Kc07e\\u002fRqc\\u002fYfT7HmwkpT9MN2yvyKClP1caKvXei6g\\u002fOfcexPWcrT+x4pIE8T2yP\\u002fOGtifMZLY\\u002fut2TP0MTuz\\u002fKp6yUiA3AP67Ck1H4p8I\\u002f9SbglphDxT8i1aMwgsvHP3sTVGYbK8o\\u002fvMhxR2FOzD9S7wXKgyLOPwVyOAJols8\\u002farC++01N0D9MaKVCW5DQP0fXu4xojdA\\u002fvsssrh0+0D9mixrDOzzPP4beeUmXWs0\\u002fxcPO2UPkyj9xl0g\\u002f+PXHP9fC9HTiusQ\\u002flr07xntnwT+JHlzSeWS8P4sCGc1zmbY\\u002f6W7TmQa+sT\\u002f6cVslthasP46c07e\\u002fRqc\\u002fY\\u002fT7HmwkpT9JN2yvyKClP1MaKvXei6g\\u002fO\\u002fcexPWcrT+s4pIE8T2yP+yGtifMZLY\\u002fuN2TP0MTuz\\u002fJp6yUiA3AP6rCk1H4p8I\\u002f9CbglphDxT8h1aMwgsvHP3cTVGYbK8o\\u002fvMhxR2FOzD9S7wXKgyLOPwNyOAJols8\\u002fabC++01N0D9LaKVCW5DQP0jXu4xojdA\\u002fvsssrh0+0D9nixrDOzzPP4veeUmXWs0\\u002fxsPO2UPkyj+inXj+4KTHP81us5nDxsQ\\u002fIU91pRSswT+0iKvYOg29Pzxg5egmE7c\\u002fj1HrJd3FsT9o5PfNYNuqP2f503VGd6Q\\u002fKUGGV6SToD9Txl5ae3eeP5DpsHELWKA\\u002fVGl99h61oz\\u002fqCANkPgupP55eoPwXA7A\\u002fEg4maBMmtD\\u002fh6WFgcMG4P163DNs9qb0\\u002fsSzm74JZwT+XBMyEo9rDP8G4nElcQ8Y\\u002f+v99Hwx\\u002fyD+EvLg5f3nKPzSCFfLFH8w\\u002fpDZ+EAxhzT9Q+2Rr9S7OP+68Gsxffc4\\u002fDry1FgJCzj\\u002f5KnguznTNP9\\u002f3gK\\u002fbEcw\\u002ffcmUNNkcyj+inXj+4KTHP9Bus5nDxsQ\\u002fIk91pRSswT+1iKvYOg29P0Rg5egmE7c\\u002fj1HrJd3FsT9p5PfNYNuqP2r503VGd6Q\\u002fJUGGV6SToD9Wxl5ae3eeP4zpsHELWKA\\u002fTml99h61oz\\u002fqCANkPgupP5leoPwXA7A\\u002fDA4maBMmtD\\u002ff6WFgcMG4P1u3DNs9qb0\\u002frSzm74JZwT+WBMyEo9rDP8G4nElcQ8Y\\u002f9v99Hwx\\u002fyD+DvLg5f3nKPzSCFfLFH8w\\u002fojZ+EAxhzT9Q+2Rr9S7OP+28Gsxffc4\\u002fD7y1FgJCzj\\u002f5KnguznTNP9\\u002f3gK\\u002fbEcw\\u002fgcmUNNkcyj+knXj+4KTHP7a1GH8fU8Q\\u002fzTp7vIyEwT80OVsI5hC9PzUAZNJ1G7c\\u002fvvAb17GIsT8FewPp5lupPxXfyhXumaE\\u002fH5smY11AmD8zIJWr2CuSPxFw55FE9pA\\u002fQmEFeHpglD\\u002fKomJqwPubPw1Jab8\\u002fnKM\\u002fNUAgqsi5qj9YAMTfVYCxP+vWrIJyDbY\\u002f044QozXauj+F+BQXuL2\\u002fP\\u002fvmIibIR8I\\u002fR+\\u002f8voOTxD+SmNQ4d63GP3Q0lGRQgcg\\u002f6KqFWAz8yT8g+891Hw3LPzeBvFk5p8s\\u002fC1fs+mjAyz+EoS5J41HLP4zGU88XWMo\\u002fGoEEs8rTyD8lV4WQcMzGP7a1GH8fU8Q\\u002f0Dp7vIyEwT82OVsI5hC9PzcAZNJ1G7c\\u002fxPAb17GIsT8FewPp5lupPxbfyhXumaE\\u002fIpsmY11AmD8oIJWr2CuSPxVw55FE9pA\\u002fOmEFeHpglD+\\u002fomJqwPubPw1Jab8\\u002fnKM\\u002fLEAgqsi5qj9QAMTfVYCxP+rWrIJyDbY\\u002fz44QozXauj9++BQXuL2\\u002fP\\u002fnmIibIR8I\\u002fRO\\u002f8voOTxD+PmNQ4d63GP3M0lGRQgcg\\u002f6KqFWAz8yT8e+891Hw3LPzeBvFk5p8s\\u002fC1fs+mjAyz+GoS5J41HLP47GU88XWMo\\u002fGoEEs8rTyD8oV4WQcMzGP7i1GH8fU8Q\\u002fkefwwvX1wD\\u002fJBuN4DWy8P96mei4grbY\\u002f3Rbp6vMGsT\\u002fX7FH4xqWnP7klPl9bgJ0\\u002fyp0RhOVUjz+ZBJ\\u002fAf3Z5Pw\\u002fhlKI\\u002fOF0\\u002f3zzAoUGUXz\\u002fXsh9FqQV6P6JaCXyI6o0\\u002fuf91CKrDmj86hlmfWqakP+nsK6pN9aw\\u002fC\\u002fwnI\\u002fX9sj8PTr+OlLS3P+JKJ\\u002fzcdrw\\u002fkt58lKiOwD9I7nbT47\\u002fCP6of0sGeusQ\\u002fMyO+7Hpqxj\\u002fKeHlGb7zHP2cpb1g5oMg\\u002fHqZqx4QJyT\\u002fDbwawcPDIPzlp8\\u002fh\\u002fUcg\\u002fTaUvbWgtxz\\u002fGRIGgaInFP\\u002f7tY5aYcMM\\u002fkufwwvX1wD\\u002fPBuN4DWy8P+Kmei4grbY\\u002f3xbp6vMGsT\\u002fg7FH4xqWnP70lPl9bgJ0\\u002fzJ0RhOVUjz+xBJ\\u002fAf3Z5P3DglKI\\u002fOF0\\u002fAz3AoUGUXz+xsh9FqQV6P4BaCXyI6o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EfrQgLYP7Q4Hrlr\\u002fdc\\u002f8\\u002fPEAbD41z9euj8RC\\u002fTXPx2hmo9z79c\\u002fEu+n3dvq1z85k7asMubXP669Mslj4dc\\u002fOrBBDVnc1z8GWx5u+9bXP8KvZxU00dc\\u002fxpTLdu3K1z+ns45SFMTXP7y9YpaYvNc\\u002fe9W+D2601z8erGnljKvXP6pC+dDxodc\\u002fOR2PFJ6X1z8eptgsl4zXPwomJkPmgNc\\u002fYLMJZ5d01z\\u002fzQS+auGfXPz6r0LtYWtc\\u002fhYIkY4ZM1z+Rtk65Tj7XP2qFm2O8L9c\\u002fiKUhjtYg1z8IKlYloBHXP+SetkoXAtc\\u002fdwOTDTXy1j8vvFpt7eHWPwCPzqYv0dY\\u002fegxVyea\\u002f1j9K5Z+N+q3WP3upEGNQm9Y\\u002fneMPpsyH1j9dkQHvU3PWPw3E02fMXdY\\u002flJFqFR9H1j8WhXUCOS\\u002fWP4K5hjoMFtY\\u002f9xSFhpD71T80qa7ew9\\u002fVP03SLoqqwtU\\u002fgdeb6E6k1T9YXEjmwITVPyHf9yAVZNU\\u002fWzzzxmNC1T\\u002fn8XQ+xx\\u002fVPxjts6Za\\u002fNQ\\u002fYY5GRjjY1D9bjgj8d7PUPzr1BMgtjtQ\\u002fqEUXgWho1D\\u002fFiQnKMELUPw6T\\u002fFWIG9Q\\u002fpVgHiGn00z84smF1x8zTP9gCWEyOpNM\\u002fg7nyHKR70z9cPPT66VHTPx8I2Ws9J9M\\u002fwtEkD3r70j8TI7pre87SP2lSdMoeoNI\\u002fj1jlBEVw0j\\u002fojwov1D7SPzclDQS5C9I\\u002fvj+sAOjW0T86AaYZXqDRP4UAMAEhaNE\\u002fo0IY9D4u0T\\u002fI9zkNzvLQP38aQiTrtdA\\u002fiYr\\u002fQrh30D+uqVfCWjjQPxPgTEry788\\u002fcCkSl3Ftzz+6fjI4d+nOP00IjYQ7ZM4\\u002fFI1OQufdzT9sHXsxkFbNP2txnnE2zsw\\u002fUVxa8MJEzD\\u002fWmo0DB7rLP1SJ0US9Lcs\\u002fUGiktYufyj+b52QkBw\\u002fKPwIF\\u002fLq3e8k\\u002fRvdokR7lyD85XQgRvErIP3ayB+oWrMc\\u002fr8+OU8MIxz99IzZJamDGPwhMs3XQssU\\u002f1Ztre9z\\u002fxD8HM9pPnEfEP+kYS2ZJisM\\u002fZBANcUvIwj9nP3yNOQLCP0c9nb7ZOME\\u002fyGTHqh5twD9ISsRER0C\\u002fP8KtfA5Opr0\\u002fCny5eQYPvD85rJCyTH26P6hr0LYR9Lg\\u002fthyHbEd2tz8GSWMQzAa2P2PdEbJVqLQ\\u002fyMXUdV5dsz8PoXtMEiiyP8KK+8U+CrE\\u002ffG2qj0UFsD9fleAsJDSuP2pvPlAlkqw\\u002fGX6NnWokqz8IsCb90OmpP\\u002ffb\\u002fhc\\u002f4Kg\\u002fP3VRfLUEqD+hDKRiZVOnP8EVUULNx6Y\\u002fYpWpNNpcpj9XtAgADQ2mP7eSGYqh0qU\\u002fCT2\\u002fYrenpT+rjbQXeoalP+eUwQtIaaU\\u002fdImAotZKpT8uO+SxUialPxEnclN896Q\\u002faSuRXr26pD+Q\\u002fWIJOm2kP+qLOWTbDKQ\\u002fhVW6mlOYoz8Vlx4bHA+jP9TL2PVtcaI\\u002fxlyb9DTAoT8irO8N\\u002fvygP\\u002fnrOfnhKaA\\u002fel3\\u002fetmSnj9jz3JGBr2cP\\u002fd\\u002fy+2N2Jo\\u002f7s+pDvbrmD84xZuAz\\u002f2WP9RVPmKCFJU\\u002fsBjJbx42kz\\u002fdruXdMGiRPwdgmGxBX48\\u002fokrr4yQhjD+sh2OSphyJPwCJlt2YVoY\\u002f+wlaVfzRgz\\u002fAGdcXBZCBP57jo8xcIH8\\u002fwtuNGLagez\\u002f57OTSAZp4P6YXWV27AnY\\u002fRwaPW2XPcz88\\u002fvr7CvNxP\\u002ff1T1HGX3A\\u002fqr29UY4Obj8KiSHcq7ZrP5wqvdecnGk\\u002f9gYJMR2nZz\\u002fSE0wWrL9lP0TN2Ycm02M\\u002fLCvOFDnSYT\\u002f0JTBBS2NfP+gEWPO21Fo\\u002fcY2JCsPyVT8R6USNJ79QPyOc3SHchEY\\u002fLI7pGDcrNj9cuO90JE71vkitdo7EITm\\u002fdEFzc1xxSL8XM9+2khBSv\\u002f\\u002fF7UlbvVe\\u002f+jhlP5MwXb82Ixn20DBhv\\u002fYQPzuPp2O\\u002fds5vn+z\\u002fZb8BRH8uxkFov1qGwr6TeWq\\u002fmzLhcVe4bL\\u002f3BeWjVBNvv1c2yCjH0XC\\u002fd9YspYdCcr+W8oJrAOtzv5uzMmLL2nW\\u002fKQrZ8GwheL8qFYTxrc16v0h8dJHw7H2\\u002f6IwXd0PFgL8sIQZGideCv8ji\\u002f+b5L4W\\u002fL0peK2jPh7\\u002fmCB1Ym7SKv9Pq4mAy3I2\\u002fM3fQYE2gkL+1co1BDm2Sv3Vkjhl+T5S\\u002fjMX5YdlBlr8fyQI0nT2Yv\\u002fIAeU+3O5q\\u002fyFRXab40nL8gvPwOMSGev7IngBW5+Z+\\u002f0eVepLjboL\\u002fRO2JvFaqhv\\u002flNcA5YZaK\\u002fitS4zoALo7\\u002fEPuHgRZujvzT\\u002feggpFKS\\u002fcOWoSYd2pL8bCqbOocOkv2C3IHqf\\u002faS\\u002f7Eqg3YYnpb8J9+6RMEWlv\\u002fro+DcyW6W\\u002fG+3Yr8Jupb8K4\\u002fRWmIWlv0aNTVrCpaW\\u002fSXLvXH7Vpb+esZLZCxumv5qIMMB+fKa\\u002fQHhz25L\\u002fpr\\u002fD+9CFgamnv\\u002fuY2SLbfqi\\u002fQAKJr2WDqb+TkGSNAbqqv14l23GVJKy\\u002f15\\u002fzHwLErb++Lp9IHpivv0NUfFDdz7C\\u002fcxw++Fbssb9rantH9B+zv3TGykLHaLS\\u002frqhspYvEtb+z9FDwuDC3v9pw8vuVqri\\u002fUWEmVE0vur\\u002fkqs6hAby7v8GusGrhTb2\\u002f0xE\\u002feznivr+npCewQjvAvy1OTrc+BMG\\u002fVVNC+RDLwb9q8CSh4Y7CvzwYekcDT8O\\u002fhAUSufMKxL\\u002fAMzEsW8LEv\\u002fXUIAMKdcW\\u002f58\\u002ffSPUixr8Kc9ofMszGv4mW8mLwcMe\\u002fXnxyvnQRyL958J6IEq7Iv3Z5g6AlR8m\\u002fK0VtlQzdyb89v6BSI3DKvyh+koG+AMu\\u002fXDHPySePy78\\u002ffVoJmxvMv7P9P5NEpsy\\u002fMxr9dEAvzb\\u002fmfeq2mrbNv+vEcYBQPM6\\u002fv80l\\u002f1HAzr9GwCjohELPv5e89GXHws+\\u002ftlXjoHkg0L9rfdCLcF7Qv\\u002fyiBLM1m9C\\u002fy3WKp7jW0L+zyl9z7BDRv+iwP3nISdG\\u002ff+CPA0mB0b8RRM99b7fRv61TyVhC7NG\\u002fLzKEnswf0r+iDCI\\u002fHVLSv5CSjCNGg9K\\u002fU8yQFVuz0r8FJvOOcOLSv2NR5YGaENO\\u002fL04lLes9078ope8McmrTv6SF7Pc6ltO\\u002fXCF5dE3B078ax05PrOvTv6A1wXhVFdS\\u002fowbTKUI+1L+g2GhOZ2bUv7qJJy62jdS\\u002fQ6M4Sh201L8wrHRjidnUv89Vb5rm\\u002fdS\\u002fB\\u002fasmSEh1b\\u002fqz++5KEPVv4XYDhHtY9W\\u002foAMcXWOD1b+4C7C\\u002fhKHVv5YM3j9PvtW\\u002f5YRzDMbZ1b+sUJV78fPVv\\u002fvEUMjeDNa\\u002fnpApkp8k1r+Zn9slSTvWv5J6SpnzUNa\\u002fC1XKxrhl1r+iJHc1s3nWv0X3Gf38jNa\\u002f\\u002fKoktK6f1r8C2pJ13rHWv6\\u002ftEAufw9a\\u002fCbu9Rf\\u002fU1r9FiE2NCebWvyXYaqrD9ta\\u002fEwgSzi4H178l8nrURxfXv+R\\u002fGb8HJ9e\\u002fETV7XmQ21796pm8iUUXXv17eGQXAU9e\\u002fd6pWhKJh178O8Vyc6m7Xv++epbaLe9e\\u002fuob7gHuH17\\u002fX6QKispLXv7fBfkItnde\\u002fS\\u002f76ZOum179Ehi0I8a\\u002fXvyVLLxNGuNe\\u002femZ9Dfa\\u002f17\\u002fdzlqnD8fXvyI9ixmkzde\\u002frxxZZcbT1789iFJ\\u002fitnXvyL+EnAE39e\\u002fnBS\\u002fdkfk17\\u002fil4s4ZenXvxDIyAdt7te\\u002fSCSDS2vz179\\u002fSvIOafjXv0tzvr1r\\u002fde\\u002fbIG8D3UC2L8edUAkgwfYv8Hrr8qQDNi\\u002fLq6y85UR2L\\u002fm4VtEiBbYv7KxBMNbG9i\\u002fih5llAMg2L9Ins6+ciTYv\\u002f+nTOmcKNi\\u002f4nzYDHcs2L+VdLcO+C\\u002fYv7tedzwZM9i\\u002fI\\u002f+2o9Y12L\\u002fwlOhBLzjYv\\u002ffaZQolOti\\u002flXNiw7w72L8fkW28\\u002fTzYv7OoKWPxPdi\\u002frb+PvKI+2L8BNmbKHT\\u002fYv8HLeOVuP9i\\u002fZO2OFaI\\u002f2L9PURJwwj\\u002fYv1NR1YXZP9i\\u002fkg135+4\\u002f2L\\u002f0yJHGB0DYv6NWQbgmQNi\\u002frc66m0tA2L8ud72lc0DYv4xQsY+ZQNi\\u002fxRxs57VA2L\\u002fIeep6v0DYv6Q+5dmrQNi\\u002fsTwd5m9A2L8Deo1qAEDYv+oudbFSP9i\\u002fW8tYEV0+2L9y4K9pFz3Yv7tv64h7O9i\\u002frHnGdoU52L\\u002fQW1efMzfYv\\u002flbBt2GNNi\\u002fZ4pNYYIx2L8qTeB9Ky7Yv2RtdlGJKti\\u002fjEviXKQm2L8pvkEGhiLYv1W67hA4Hti\\u002fH2lOEcQZ2L+l27XjMhXYvyh0Uy2MENi\\u002foKRo7dUL2L+E3iokFAfYv0iVapNIAti\\u002foni1m3L9178oTSE3j\\u002fjXv9EXXBGZ89e\\u002fc94Zu4ju178gTZT1VOnXvypfnxHz49e\\u002ffAznXFfe178OlUiXddjXv0Gz7WlB0te\\u002fy5Db2a7L179S7QiwssTXvwoSwNFCvde\\u002fXGsHhVa1179c2vid5qzXv6IyQ5Pto9e\\u002f7zV4eWea17+fMDDmUZDXv2TKX72rhde\\u002f6Itq7HR617\\u002fZBXUXrm7Xv2tvLz5YYte\\u002fKZa7XXRV17\\u002fN02kVA0jXv1eJz1MEOte\\u002f3dMxEXcr179vfnAbWRzXv\\u002fsQk\\u002famDNe\\u002fbuPi01v81r95UiqgcevWv4AaVSjh2da\\u002fz39bUqLH1r\\u002fw2itnrLTWv16APWn2oNa\\u002f35WrcneM1r9o6zEVJ3fWv1hGMbb9YNa\\u002fxoD\\u002f4PRJ1r8NwTmKBzLWv1Dbjj8yGda\\u002f1mh8QHP\\u002f1b\\u002fIVLV9yuTVv6d3TH45ydW\\u002f7\\u002fM2K8Os1b+EkDSDa4\\u002fVv4IOlDo3cdW\\u002fxtCKSytS1b\\u002fnGeB8TDLVvy4zbeWeEdW\\u002fYeNgcyXw1L\\u002fmrEV+4c3UvxzKe2rSqtS\\u002fkxIrZPWG1L8a5qs2RWLUv2GkE0S6PNS\\u002fmfP\\u002fnkoW1L94of5G6u7Tv8prG4aLxtO\\u002faHZIbB+d0782UZljlnLTv3x5utbgRtO\\u002fOPHF4e8Z079a9qMEtuvSvwKYnM0nvNK\\u002fdeemcjyL0r\\u002fCzGJQ7ljSv2+Bg0Y7JdK\\u002faB+96iTw0b9HnvyMsLnRv4PLvgnngdG\\u002fhEyradRI0b8zpBNQhw7RvwS\\u002ffzwQ09C\\u002fqhjspYCW0L82Jqv46VjQv\\u002fYS34FcGtC\\u002fKDI+qsy1z796e\\u002fpzJDXPv8AdZl\\u002fNss6\\u002fXLlhKsouzr\\u002fqmDcGEqnNv+wG6MePIc2\\u002fuBFYqSGYzL8sA\\u002feqmQzMv6SjfJ++fsu\\u002f4qux5E3uyr+rVQTF\\u002fVrKv8tdRHaAxMm\\u002fMbqQoocqyb9AVZRhyIzIv1fR84H\\u002f6se\\u002fMY6N\\u002ffVEx78tSyhvhZrGv+OCml2c68W\\u002fwq9+L0I4xb\\u002fRbEmbmoDEvz2OF2roxMO\\u002f4eDDZ48Fw7\\u002f5c6xgFUPCvy4r2xQifsG\\u002fIrjJEH63wL967tnKIOC\\u002fv7qWhIa2Ub6\\u002fntrLDO\\u002fFvL+AKcKXHj+7v3Ba\\u002fmOvv7m\\u002fLZli3BNKuL\\u002f9hPnUt+C2v7MFqkTxhbW\\u002fteyf9fA7tL88DlioswSzv55gAyX04bG\\u002fWeBXsh7VsL9Dava\\u002fjL6vv22acAs5Aq6\\u002fl20YkNV1rL8Iy6S9Hxmrv502QIn+6qm\\u002fYTXtuofpqL9kD2cVCxKov02Q4BIjYae\\u002ffKRwwcrSpr\\u002f5uQAeeGKmv13WxiU6C6a\\u002fdwErttnHpb\\u002faJ546\\u002fJKlvztkSBhHZ6W\\u002fiXkkwYI\\u002fpb91LV1bvBalvyqxc\\u002fZk6KS\\u002f\\u002foRnXW2wpL91T\\u002f6yXWukv7u6TSpoFqS\\u002fqLxwWHavo78mnU3LMDWjvzGRzcIAp6K\\u002fN60XHAwFor9AeXmvK1Chv8ur54\\u002fciaC\\u002fIe+QiVlon78pWid1SKOdv3IxGodVypu\\u002f49IGLdjjmb98IOOKdfaXv9qbrFHmCJa\\u002fTKswbb4hlL8ZuXhZOEeSv9tqecMFf5C\\u002f8a26u02cjb9JCxMZk3GKvzV3LHVihIe\\u002f0pbss0\\u002fZhL\\u002fJCztq8HKCv7tOuMniUYC\\u002f7m\\u002fhqcvpfL\\u002ftyt+KArJ5vwiEhBJ283a\\u002f1dicoa+idL9AU8anR7Jyv47EaX+BE3G\\u002f9csQotZtb7\\u002fVMl6D9xltv15rJ\\u002fJODWu\\u002fhIxtFdIrab\\u002fDt7T4bFxnv40XL\\u002ffAiWW\\u002fgvDslrCiY7+lY8H\\u002ftJphvzqdFtX2016\\u002fNH6VMZYaWr934PUKbQtVvyIVeO9xYE+\\u002fNwifF\\u002f4xRL\\u002f+9R4a3WkxvxgwcxKTOxc\\u002f\"},\"z\":{\"dtype\":\"f8\",\"bdata\":\"FEAV\\u002fK4KX7+z3wIeWqCIv2ET8Hcuv5a\\u002fZLyPKFKhoL9MwdWlc++lv+\\u002fg8KPLS6u\\u002fbQ9KVuFbsL\\u002fFZhUsKRqzvxZwZaoA4bW\\u002f39AQfHGwuL\\u002fR3d4YTYi7vwI0RskvaL6\\u002fh0OogMKnwL88Xixqxh7Cv1kCAB6xmMO\\u002fRaGP9AAVxb94adiqKJPGv91RRemSEsi\\u002fRYNyqaWSyb88zcZgxRLLv\\u002fmgy9tXksy\\u002fEcfGvMYQzr+9sOiWgY3Pvylk\\u002fNL\\u002fg9C\\u002feuQulOA\\u002f0b\\u002fS6SozKPrRvx5jbjqhstK\\u002fspN04htp07+S4hlIbh3UvxP01Jl0z9S\\u002fdISHQhF\\u002f1b+LSbIWLSzWvxd0W4a31ta\\u002fh+cl06Z+179URiVH+CPYv\\u002fhrIWawxti\\u002f7N5zENtm2b9VzqiMiwTav9Aowmvcn9q\\u002f\\u002fEiLO+8427\\u002f5QO\\u002f668\\u002fbv9ZXxUUAZdy\\u002fmtUBMF743L9DJpjLOordvxkOe1jMGt6\\u002fbQzXIkiq3r9a4KUY4Djfv0kKzCTAxt+\\u002fuJBksQUq4L\\u002fwICyhbHDgv6Y39FqZtuC\\u002frlSrxIf84L+fZsz\\u002fKULhv+rc9Wpnh+G\\u002f+enB5BvM4b9Sa9lcFxDiv3nzAL4dU+K\\u002fPqoDOeeU4r+KFv30INXivyglvCVuE+O\\u002fm933hGlP479zgP4mp4jjv8vEmZ+2vuO\\u002fn+1FaCXx47\\u002fMWbp1gR\\u002fkv8wTSehbSeS\\u002fUfjowEtu5L8I4uuD8I3kv696frL0p+S\\u002ftJUdBRC85L\\u002fBySVTCcrkv2vRcha40eS\\u002fiUCQfQXT5L\\u002fmgx4D7c3kv5vVmIV8wuS\\u002fqJZo39Ow5L9GS\\u002fMDJJnkvyIB3aqte+S\\u002fAC3elr9Y5L98zBuJtDDkv8OFw\\u002fTwA+S\\u002f6CaliODS47+BIoul853jvwCPI9icZeO\\u002fWndlbE4q478THJEueOziv93vTWuFrOK\\u002fl9ogPdtq4r\\u002f6hKox1yfivyKJ\\u002f0zO4+G\\u002fpf4tbQyf4b8NM9gL1FnhvzTh5FdeFOG\\u002fhwDPndvO4L8D+kDyc4ngv18bfxBIROC\\u002fdnOQueT+37\\u002fTnJf0D3bfv0OBQ8kz7t6\\u002fuluM+2tn3r9wPMsG0OHdv+WbTMF0Xd2\\u002fZpTZqG3a3L8StmbOzVjcv52DgF2o2Nu\\u002fVB5UwhBa279GVwF3Gt3avxuZ7YXYYdq\\u002fdqvU0lzo2b8GfSQ\\u002ft3DZv4Uprb\\u002f0+ti\\u002fisHKeR6H2L8L6\\u002fL8OBXYv2\\u002f1F6tDpde\\u002fcSfJXjg317\\u002fm7pZZC8vWv6s3ToCrYNa\\u002fi5Rk5QL41b+A5b2c95DVv0L0GM9sK9W\\u002fkHoy\\u002f0PH1L9k0kpvXmTUv2vUYpOeAtS\\u002fyzdZe+mh07\\u002fr8CIgKELTv3NxpIBI49K\\u002fmG0jfT6F0r\\u002fBnrxjBCjSv9Q6jCSby9G\\u002fTXMMKQpw0b\\u002fwSE3PXhXRv8heyo6ru9C\\u002fN1t80QZj0L9CJw6QiQvQv9a6Ooebas+\\u002f3X\\u002fcg9nAzr\\u002fdDrU0+xnOvx+B1hMnds2\\u002f47j7N3nVzL\\u002fFvzMVATjMvz3pq9y\\u002fncu\\u002fo8gLk6cGy7+eYUHrmnLKv0cBQult4cm\\u002fYVS0RedSyb9mv0SBwsbIvwahGo2yPMi\\u002f1PsD5mS0x7+gLeH5hC3HvxFX9qq\\u002fp8a\\u002fXU1Aw8Yixr+UAdMqVJ7FvxAQkbcsGsW\\u002fUqMIciKWxL++0aMyFhLEvw4HO4P4jcO\\u002fkpv7uskJw7+nxvJUmYXCv0Dy1ouEAcK\\u002fPkVST7R9wb+Jh5WvWvrAvxtd5+Kvd8C\\u002ffcS5G97rv78LPlrzpeq+vxA+\\u002fcgl7L2\\u002fopdIK7\\u002fwvL8i8Ta3wfi7v5nL\\u002fCZnBLu\\u002fcPW5o9ATur\\u002fvTO93BSe5vxytWS3zPbi\\u002fqkwfDW9Yt79+oz7mOHa2vzYY6+z+lrW\\u002foSXodmK6tL\\u002f0c8RN\\u002fd+zv4hip0hnB7O\\u002fVouP3Dswsr+PLIVTH1qxv8ylPmHDhLC\\u002f7dVSq9Vfr7+WNUR22Latv0oaP3xmDqy\\u002f0yyQm4Fmqr+Hm7HuU7+ov8y03SArGae\\u002fOTNGqnF0pb\\u002fnhipbptGjvyiRZLRSMaK\\u002fmNolnACUoL8GJmMLYPSdv4DP\\u002fkSayJq\\u002fipnsVE+ll78obMFw14qUv88WrkA5eZG\\u002f7HnoI0jgjL9iXGm+3d2Gv3ugpHI46YC\\u002foawUWIv\\u002fdb+KVrI60nlkv6T9lNE2xTc\\u002fZCGmC\\u002fJmaj9UvUG49u94P8HYTMGEXII\\u002fYV2He7ZKiD9msVKWiUWOPwZKPfm5J5I\\u002fsiCfiSg1lT\\u002f\\u002f9w6uqUuYP5CQzT1\\u002fa5s\\u002ffV\\u002fBnZWUnj\\u002f8wlYaReOgPywTMwJbgKI\\u002fbr1e4x0hpD8q3w5eDMWlPy3EiJqba6c\\u002fS0it5EAUqT+O0OoTe76qP9rTTjnbaaw\\u002frqsNGQwWrj\\u002fY3kcH2MKvPwtfAmwWuLA\\u002f5o1z1w6PsT\\u002fIkjRNcWayPwXCVANrPrM\\u002f+ryZGTgXtD+O4vR5IPG0P6UE3g50zLU\\u002fp2BZiYaptj+nKY32qoi3P\\u002fYFQGcvarg\\u002f62BF6lhOuT8hwdQVYDW6P4dDWlNuH7s\\u002fjqj0FZwMvD9EsDcW8Py8P7\\u002fSrp5f8L0\\u002fw9Xg5M\\u002fmvj+VMR1bGOC\\u002fP32dhOwCbsA\\u002fKTVCNi\\u002ftwD+ABWLNcm3BP+PcgWmw7sE\\u002fg7yb6M1wwj9bCPxXtvPCP6WNr7Zbd8M\\u002fySM6V7j7wz\\u002fo9trLz4DEP8XxRk+vBsU\\u002fnO4zo22NxT\\u002fyVuRlKhXGP8f\\u002fqOcMnsY\\u002fZ4SVkEIoxz\\u002fgdgDt\\u002fLPHP0vnf3xvQcg\\u002fJuCZYs3QyD+++yMaR2LJP10nM0wI9sk\\u002f3BmG6TWMyj+hEJ6h7CTLP4utd80\\u002fwMs\\u002fY3JV3ThezD+psKxR1\\u002f7MPwkjcD8Ros0\\u002fP\\u002fAaWNRHzj\\u002fmH3ZmB\\u002fDOP1H+hSqMms8\\u002f4FbevKAj0D8Cu2TCAnvQP+2VLBFc09A\\u002fLrz8fp4s0T+swwjGvobRP8O8tlO14dE\\u002fwJD94H490j\\u002f8N2HMHJrSP16pPTGV99I\\u002f0gj8u\\u002fJV0z9gVLw+RLXTPwYCtQ2cFdQ\\u002fn7fQLQ931D\\u002fbiLVitNnUP4zyNiujPdU\\u002fFpsdvPKi1T9FmBwJuQnWPx4QueoJctY\\u002fk+fibfbb1j+rth5XjEfXP+h9kt\\u002fVtNc\\u002fltY6rtkj2D9lQEELm5TYP0GuHkcaB9k\\u002fjicqS1V72T\\u002fqyqpFSPHZP4uduWDuaNo\\u002fbBNkcULi2j9FyrmLP13bPy6v1Wjh2ds\\u002fPcWLjSRY3D+DHCcjBtjcP5uSdHeDWd0\\u002fpi0MHpnc3T8k4CuyQWHePxeSPz50594\\u002fnr4XVCJv3z+564HmNfjfP+JjEn1HQeA\\u002fbW7wowCH4D\\u002fnXyH3KM3gP4otyqiaE+E\\u002fmq5TpSZa4T96mrnhk6DhP+5UCO+e5uE\\u002f9YBF3\\u002fkr4j9zikaFTHDiP6YLqhU1s+I\\u002fYEpnK0n04j\\u002fblVouFzPjPyU8CxYob+M\\u002fucHPfgGo4z9Y554DKN3jP9OzdcshDuQ\\u002f08xtNnk65D+3SI+Uv2HkP+gxMc+Pg+Q\\u002f7Tpu7ZCf5D+sZ9dceLXkP+7AIekLxeQ\\u002fWewAUCPO5D8WDp9hqdDkP7\\u002f1CaKczOQ\\u002fLPtVZA\\u002fC5D9qEPJcJ7HkP423hK0cmuQ\\u002fFJpzcTh95D8eNr3W0lrkPzxP3tJQM+Q\\u002fkqPxhiEH5D+97+xou9bjP9MsuEmZouM\\u002fIGjKUDdr4z\\u002fkC\\u002fQFEDHjPx64DIGZ9OI\\u002f1bNo1UK24j+Wml7McXbiP0NM4P6ANeI\\u002fuOlfWr7z4T8ZFhUZarHhPxrMZDG2buE\\u002fKYDcO8Yr4T\\u002fgTAzLr+jgP52FvCx7peA\\u002fw0CliCRi4D+iyg9OnR7gP+UOcb+btd8\\u002fGtLi1y4t3z9MKN68q6PeP5v8o7LDGN4\\u002fuk2sRyWM3T9Kzxr9f\\u002f3cP0YzE56HbNw\\u002fFGyQLvfY2z\\u002frz9Ffk0LbP\\u002fPJNH4sqdo\\u002fzlon0p8M2j+15Ydz2GzZPyB3CJTPydg\\u002fmNLVSYwj2D9UJq7nInrXPwRupPKzzdY\\u002fT0T0x2oe1j8Wz4EGfGzVP2Fq8c8juNQ\\u002fG5a79KMB1D941lwdQknTP4a03gBGj9I\\u002f3ICbtvfT0T\\u002fJ9XAunhfRP3i\\u002fvdd9WtA\\u002fZABS+a45zz+A3+aozr3NP+5aGprIQcw\\u002f1qXyE\\u002f\\u002fFyj8+fnMpyErJP7UpOXNt0Mc\\u002fy9CpFSxXxj+GrIwGNd\\u002fEP+n4noStaMM\\u002fDPQ5tK\\u002fzwT9zuStVS4DAP0HnxQ4NHb4\\u002fRFOsK708uz8uYv2BkV+4PzqSZwhmhbU\\u002fPogepgmusj\\u002fmT802f7KvP0GL3rCBDao\\u002fPOmhinpspD9CHsj+c52dP3IUlk4GZ5I\\u002fc325XXPQfD9gihlYP+dvv5FzPTJlW46\\u002fURS0a\\u002fNfmr86RtMrrcqivyZVk2bIZ6i\\u002fK\\u002fHphRkIrr9ZO5pCMtaxv0gQi72vqrS\\u002fS+cOVdeBt7\\u002fLhD418Fu6v+EDH3w0Ob2\\u002flTw6jecMwL\\u002fEBdHb7H7BvzGH8VGt8sK\\u002fKaUVcyFoxL\\u002fN5Hw6Nt\\u002fFv85vo1XMV8e\\u002fhQophrfRyL9HpiM1vkzKvxrwJ0KZyMu\\u002f5aE\\u002fGPREzb\\u002fVunsSbcHOv2OPXhzLHtC\\u002fhR3RLXvc0L\\u002fRLh5KhZnRv0fmoRSkVdK\\u002fTQgAbI8Q07\\u002fjH4u9\\u002fcnTv\\u002fnag4KlgdS\\u002fKXzE3z431b887BVeherVv7L1LK85m9a\\u002fgUxFcSNJ17+2BZ3hEvTXvxA\\u002f1Wzim9i\\u002fg8+QC3hA2b8orahZxuHZv2I0ClfNf9q\\u002fnDzZwpoa279H5sEDSrLbv\\u002f\\u002fHfZMDR9y\\u002f8Bxd5\\u002fvY3L8GZAzUcWjdv7eurW+s9d2\\u002fUHeGeviA3r+JOsRbpQrfv6Vn+8QBk9+\\u002fb5jlCSwN4L91lKFGdVDgv+8IB8l3k+C\\u002fEgxn9kbW4L8CNqyu7Bjhv0b2vMFnW+G\\u002f5ANJpaqd4b\\u002fd50t6mt\\u002fhv5ILiW8OIeK\\u002fUeiji89h4r8aB03mmKHiv2cpZVQY4OK\\u002fVaoTh+8c47+N3MCZtVfjvz3L2Ab5j+O\\u002fXJ5X90HF47\\u002fzx4\\u002fdFPfjv7isgUj1JOS\\u002f7Eef2mhO5L85XRFN+nLkv0MqnWc8kuS\\u002fIyUv1cyr5L+cSNa9Vr\\u002fkvzydnxCVzOS\\u002frc41alTT5L9Pq1aIdNPkv7KG+j3pzOS\\u002f4QlL4Lq\\u002f5L\\u002fHUBYpBqzkv5UnG5D7keS\\u002fbTItId5x5L+urJXZAUzkv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lJ0jZPxIyeGA4SNk\\u002f7ohdHBxI2T\\u002fTPm3mykfZP2g72YY8R9k\\u002fca8+WWlG2T\\u002fhb1LaSkXZP1iOfyPcQ9k\\u002fwBIOThpC2T+c\\u002fMq4BEDZPzxPzSydPdk\\u002fat2+3+c62T\\u002f1+OlT6zfZP3TIHRiwNNk\\u002fPlkpa0Ax2T83OyPIpy3ZPzSE3WHyKdk\\u002fYre1lCwm2T\\u002fWZVtWYiLZP4ENK6ueHtk\\u002fsvNVKOsa2T+zH0qJTxfZP3zhsl3RE9k\\u002fOYYK1HMQ2T81gSSjNw3ZP8hMahMbCtk\\u002f7LXTJhoH2T83OgTdLgTZPyhvgI9RAdk\\u002fN4izYHn+2D+PCo63nPvYPxhz78Cx+Ng\\u002ffxvU76712D\\u002fKAGl1i\\u002fLYP7cLrao\\u002f79g\\u002fUwQjZsXr2D8I5Ds5GOjYPxN2fpI15Ng\\u002fv\\u002fzzwhzg2D9n6vTmztvYP6T8\\u002frNO19g\\u002f5vexLqDS2D+QPlZNyM3YP357V4zMyNg\\u002fAAHYerLD2D9B5eVFf77YPxCD5Eg3udg\\u002faN9rqd2z2D\\u002fxZzgEdK7YP6jl0S\\u002f6qNg\\u002fg7VdGG6j2D9cA6+2y53YPz3cKiMNmNg\\u002fqdeRwyqS2D+jd0qRG4zYP68ScnTVhdg\\u002fTCnYrk1\\u002f2D8gsihReXjYPwbm+LNNcdg\\u002fZfMu7sBp2D8CyFpCymHYP\\u002fotC31iWdg\\u002f4ZTwPoRQ2D+zmqsuLEfYPyOhag9ZPdg\\u002fpmXmugsz2D8Vkc7+RijYP35jOF8PHdg\\u002feNYOwWoR2D+ZsckAYAXYP5z\\u002fvnr2+Nc\\u002fiukpizXs1z\\u002fGqngMJN\\u002fXP5q0ktrH0dc\\u002f9FWOYSXE1z8uDr09P7bXPzZKFvIVqNc\\u002f1vbkuKeZ1z9X3kNx8IrXP1jLeKrpe9c\\u002f3leyzIps1z\\u002fAfiRdyVzXPw+mEFqZTNc\\u002fhusBqu071z8C336YuCrXP7VgtFnsGNc\\u002fFS00jnsG1z9qn9K\\u002fWfPWP7uy+9B739Y\\u002fD\\u002fZ7WNjK1j9bOa\\u002fkZ7XWP+c+QCIln9Y\\u002ffkoT5AyI1j8\\u002fwoYLHnDWP48p1VFZV9Y\\u002fdpn99MA91j\\u002fmthZMWCPWP\\u002fl3QEgjCNY\\u002f6Hd56CXs1T8a4l6nY8\\u002fVPzWtR+resdU\\u002fYeQ2eZiT1T9+rssGj3TVPxwJpM6+VNU\\u002fktGgTyE01T+YDysmrRLVP4KIEwlW8NQ\\u002fCGj56QzN1D8fOWg4wKjUPytzJkVcg9Q\\u002faV6Swctc1D+2rX9V+DTUPwVV30TLC9Q\\u002fqSCkHS7h0z97ttxlC7XTPyzB5UFPh9M\\u002f9evmCuhX0z\\u002fc1X\\u002fOxibTPzgYl7Hf89I\\u002fJSWYMSq\\u002f0j99WwRBoYjSP1VA\\u002fD1DUNI\\u002fnx45wxEW0j\\u002fm+b1VEdrRP3hnOfNInNE\\u002ftkaShsFc0T\\u002ftkFNJhRvRPy0Bjxmf2NA\\u002fUNBOzBmU0D+dysSE\\u002f03QP6+SDhhZBtA\\u002fsQpPCVt6zz\\u002fc5AIHA+XOP8HZmG6uTM4\\u002fVRSM+VuxzT87yR+6BBPNP6EhSkKcccw\\u002fcZ9RBxHNyz\\u002fWESH5TCXLP3tQYkE2eso\\u002fMLAlHLDLyT\\u002fk5mC6mxnJP5lO\\u002fx3ZY8g\\u002fJS6n30eqxz+\\u002fAr\\u002fPx+zGP+GYmGY5K8Y\\u002fgYve+n1lxT+7aU+5d5vEPxvmSF0JzcM\\u002flF1srhX6wj9rK33MfiLCP7gsPVclRsE\\u002fMEw4hOdkwD9rycZvQP2+P2A943NMJr0\\u002fzYY2PJdEuz8FFjf1ule5P+e1oAhIX7c\\u002f65g\\u002fS8ZatT+QWDtCt0mzP0uf9ZaZK7E\\u002fqvb4htv\\u002frT\\u002f8K4jld4ypP1Uw2v81\\u002fKQ\\u002fHLzx3nBOoD\\u002fkrrq0hAWXP\\u002f4eBFNWZIo\\u002fjG+iXp0baT8clZqyV5R8vzDC4sjVpJG\\u002fpA8eQQFYnL8aOTvIwpyjv0SYEs16Iam\\u002fwZulFEC2rr+qnsv3Oyuyv87Hr29t\\u002frS\\u002fQfVJvL\\u002fRt79E2SyA9aG6vxaqK9iTa72\\u002fASO7FXgVwL8Dw+80IG7Bv2Z\\u002fNq\\u002fWvcK\\u002foJQ3UrMCxL8tq0bc2zrFv1PwLMeOZMa\\u002fEhx8Ay5+x7+Xm2JPSYbIv2UPn9One8m\\u002fhXfns1Bdyr9iXd5FkirLv8q6ZqoH48u\\u002foKOQkJyGzL9Gnxr3jhXNv3tGKtFukM2\\u002fcdzggxv4zb+TdDREv03Ov5aFV27Iks6\\u002fVB5PAeHIzr89Sn155PHOv0HQPFPUD8+\\u002fw\\u002f2nisskz7+6vs128TLPv8sykWRsPM+\\u002fyxX5V1RDz79zgq9ZpknPv9tb5LE4Uc+\\u002fsyPUabBbz7\\u002f7lypieGrPv\\u002fwfuz66fs+\\u002f514aWFmZz7+zJhvS77rPv2UStOPN48+\\u002fe8YIpf0J0L\\u002fSpiFnnSXQv9E33NmHRNC\\u002ffzAda2Jm0L\\u002f5Zm2YuorQv26zZL4KsdC\\u002f+svOR7\\u002fY0L+a+UMOPAHRvzO\\u002fl73hKdG\\u002fdynXDBNS0b81zIGiOXnRvyIeDn7KntG\\u002f57lwxknC0b++OAfkTePRv4BCq9OBAdK\\u002fO5iDqKYc0r9MYBc6lDTSv1Oq5AM5SdK\\u002f9+D6Qpla0r+QlZhkzWjSv5pDT97\\u002fc9K\\u002fIcaIjGp80r+0BFi3U4LSvzs9Lt8KhtK\\u002f\\u002f2Jcc+WH0r+SID+TO4jSvwCcrPhkh9K\\u002fsOnZJraF0r8LN6L0fYPSvzExGoQDgdK\\u002f+37js4R+0r9zWQURNXzSv11UZ0o9etK\\u002feT+mIbt40r+KYA\\u002fQwXfSv\\u002f1GS9Jad9K\\u002fBP7MCYd30r\\u002fBwo8gQHjSvw2UHBp6edK\\u002fX2Y+\\u002fCR70r8fozB6Ln3Sv5qQXo6Df9K\\u002fR7zg8BGC0r8vUqVbyYTSv8tycZCch9K\\u002fYG2AGIKK0r\\u002fFBkW5dI3Sv6P6i51zkNK\\u002fFpHLNYKT0r\\u002f4raTVp5bSv1I+XhfvmdK\\u002fKGpbEGWd0r9ASiZjGKHSv5wDmzwYpdK\\u002fCiIJSnOp0r8Mhcm1Nq7Sv03J2zZts9K\\u002fAD2yPh650r\\u002fVG39OTb\\u002fSv5k6NHv5xdK\\u002fHTwUJR3N0r+x8U7lrdTSv350xbGc3NK\\u002fjj7XNNbk0r9z\\u002fBVVQ+3Sv2KrA+fJ9dK\\u002f1MmagU3+0r881FptsAbTvxMC76TUDtO\\u002fgYtA3pwW07\\u002fK8tqS7R3Tv6aq7v6tJNO\\u002f8jzpDskq07+nU3w0LjDTv1F1+BzSNNO\\u002fGLoGRK8407\\u002fE1QBfxjvTv3uuXJ4ePtO\\u002fx13Ow8U\\u002f0781MuEM0EDTv6mp0PJXQdO\\u002f4TxawX1B07\\u002frEhcHZ0HTvybGqeI9QdO\\u002fmPexMDBB079FywefbkHTv3b9PqorQtO\\u002fXg7eippD07\\u002f1RRMY7kXTv8sV\\u002f6VXSdO\\u002fUnTo5QVO079AkdnOI1TTvyrvNZXXW9O\\u002fybfRt0Fl078ks+cofHDTvzs8+piZfdO\\u002fOwAv6aSM079weAnKoJ3Tv2jEioqHsNO\\u002fpeauGkvF07+tCQJD1dvTv4DmoREI9NO\\u002fXRJ4e74N1L9\\u002fLN0uzSjUv7NsMJMDRdS\\u002fns9S7yxi1L+gUnKvEYDUvxUyOsF4ntS\\u002fb3Vi\\u002fCi91L8geMuM6tvUv86Q31KI+tS\\u002fKUjoLtEY1b+9pWQsmTbVvz4\\u002fPYO6U9W\\u002f4ETuZRZw1b+L4F+VlYvVv+j8HLUoptW\\u002fLEzWXMi\\u002f1b+2do3mdNjVvxvNSfs18NW\\u002fp6S54hkH1r8nt4WcNB3Wv6T1QsyeMta\\u002f5IfBgnRH1r9rld7w01vWv8Wx5xDcb9a\\u002fkG\\u002f9U6uD1r\\u002fW8K9gXpfWv4ojTO8Oq9a\\u002fDmQBz9K+1r\\u002fF1Todu9LWvwFbUbbT5ta\\u002fe4kz5CL71r\\u002fASeVMqQ\\u002fXv3vs6B9iJNe\\u002fsabgfkM517+fmCIbP07Xv3vdsf9CY9e\\u002fk0gwfTp417\\u002fRN\\u002f0rD43XvyH85vepode\\u002f7pafKPS1178dPI1a2MnXv0HNjVxD3de\\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5niWIsPfjv3zE7CbkHeS\\u002fl\\u002fFaHRNC5L+ewcYwC2Tkv76HmkqUg+S\\u002fSGaouHGg5L8008WoY7rkv9qDR9Mo0eS\\u002fzh\\u002fgRYDk5L9xFeA+K\\u002fTkv7iF9gfv\\u002f+S\\u002f6y9mv5YH5b9bSyn\\u002f9Arlv2bMt1LlCeW\\u002fa\\u002fz\\u002fbU0E5b81TY0aHvrkv37pudJT6+S\\u002faUn8BffX5L9tpcYEHMDkv8P025Xio+S\\u002fVEtOOnWD5L\\u002f\\u002ffWcoCF\\u002fkv6zaZAjYNuS\\u002fsFUUgCgL5L\\u002ffAO6bQtzjvxyKKCVzquO\\u002fwJp79Ah247\\u002fkWchQUz\\u002fjv4F3wGegBuO\\u002fOSfw7DvM4r+pRl\\u002fpbZDiv5sTb8N5U+K\\u002fh9PNg50V4r84ZnRZEdfhv+Asx1sHmOG\\u002fnstGh6tY4b9szN3uIxnhv3Aa4RmR2eC\\u002fL7NfhQ6a4L9a5W8+s1rgvz2KzIqSG+C\\u002f2FOTKnm5379Wacoofjzfv8ui3MRLwN6\\u002fI1WtAPdE3r9J2EX8ksrdv9v2+YsxUd2\\u002fC\\u002fcIkuPY3L+qoQQeuWHcv1qW+lfB69u\\u002fWix\\u002fQAp3278c7iJRoAPbv\\u002f\\u002fdbgqOkdq\\u002fxpwvfdsg2r8daJncjbHZv05+sSWnQ9m\\u002fakqE5iXX2L90hCUtBWzYv\\u002f3kc6M8Ati\\u002fwT9P2cCZ178jP5O7gzLXv85D8DJ1zNa\\u002fLd\\u002fZ4oNn1r+r9WP+nQPWv25iMSeyoNW\\u002f\\u002fxqjSbA+1b8ijlNpit3Uvz7qmFE1fdS\\u002fahY\\u002fH6kd1L+ahdCa4b7TvyAxel3eYNO\\u002f6wexvaID079tDA6ENafSv6UcJ2ygS9K\\u002fN8FJeO\\u002fw0b+LBLshMJfRvxqfUHFwPtG\\u002fr0+6Db7m0L\\u002fR3Y1NJZDQv5aQEFuwOtC\\u002fqqeb7czMz7+mjrHIlibPv6GCaxS+gs6\\u002fHAH4lTrhzb+AxuM0\\u002fEHNv6fRz5vrpMy\\u002fVBo5R+sJzL\\u002f3mmHz2HDLv+7+t1SP2cq\\u002fdNSRAehDyr+gafFwva\\u002fJv7eDlfDsHMm\\u002f5hHPdFiLyL8VkI8m6PrHv6o4uJeLa8e\\u002fnki0ijrdxr+RBpBA9U\\u002fGv1ndsUfEw8W\\u002fuE21zLc4xb+LkDx25q7Ev73gcNtrJsS\\u002fkq3zqmafw78oONmc9hnDv+5MnU06lsK\\u002f9xaoIU0Uwr+MeM9QRZTBv7MIRzcyFsG\\u002fp+K+BRuawL\\u002fFJDrl\\u002fR\\u002fAv8wNZTmfT7+\\u002fa1OVfvdivr+0UwzEynm9vySaXKDQk7y\\u002fO4FNXLWwu78jQdnnHdC6v4EPWUas8bm\\u002fmcc2MgQVub9NhYe0zzm4vy9Uz2zDX7e\\u002fztjmSKKGtr+xO2R0QK61v9TonVGF1rS\\u002fVoTMW2z\\u002fs799Yz3hBCmzv3UZFZVwU7K\\u002fk\\u002f7kCOF+sb8bwVwulKuwvybPgB+gs6+\\u002fqthf87sTrr+oNwyzCnisvzWKNjEN4aq\\u002fTiR5eyxPqb\\u002fKRiU2scKnv6EgSY+8O6a\\u002fR7f4MUO6pL+GXYGHCj6jv3ouN3SoxqG\\u002fQbW\\u002fmoVToL+f5xQaxMedvx2WG1+47Zq\\u002fZ0Kf5\\u002fIWmL8o5A7pYEGVv+BWl9LnapK\\u002f6B+3a\\u002fcij78wxrL0aWaJvz8OKVrInIO\\u002f24dTXYuGe7\\u002fz7p6AA19vv4b0wz1WjU2\\u002f2qoK\\u002f3joYD\\u002fIhInN+MF0P4tkBIj2moA\\u002fEscx5qTmhj921B1mJkKNP0w7r2Cj1ZE\\u002fBcQSeNQPlT+HB6uzeU6YP1AOF9Z9kJs\\u002fxtt+Y\\u002ffUnj+qWIYSnQ2hP6DLzntysaI\\u002fymrrjfVVpD9MgkQ\\u002fTPulP9h4iVzIoac\\u002fGg4ea+RJqT+eljYaPvSqPwbH95KOoaw\\u002fktttF6FSrj+J9L08JASwPwPbQgKq4bA\\u002fbw3APkLCsT8C+1ruQKayP2kjcC3pjbM\\u002fHERWrGl5tD8+wrlG2mi1PzWIk+Q6XLY\\u002fPjcYuHNTtz+CtxnYVk64P\\u002f3dVSKjTLk\\u002fg8w0PghOuj\\u002fr8J+HK1K7P05m2ZutWLw\\u002fcihiODBhvT9\\u002fyaMWXGu+P1qdj27mdr8\\u002f8XVl58pBwD8HyAsBo8jAP1ePe2P1T8E\\u002fJRipl8jXwT86faPIL2DCP3nPiQNK6cI\\u002f0I+VyEBzwz9FHdkARv7DP6VnXHWRisQ\\u002fudy6610YxT+Gc9kR5qfFP7HDZWVhOcY\\u002fFNZbRAHNxj+rgMFR7mLHP0GpM1VG+8c\\u002flCkJtRqWyD86BRCibzPJPw47wQE808k\\u002fCDPJGGp1yj\\u002fPX5Ds2BnLP8kEsEdewMs\\u002fmKKUQ8lozD\\u002fo9o4x5RLNP36yu7d8vs0\\u002fULvY8lxrzj9+V5BtWBnPP7X5CcBJyM8\\u002fKTDL1wo80D+jQOhWVpTQP\\u002fNmE9AF7dA\\u002fhuTz8R1G0T8GP39HqZ\\u002fRP6lM6Xy3+dE\\u002fZ2VAVVxU0j+PGBFirq\\u002fSP2wjuZLFC9M\\u002fN+8ftLlo0z\\u002fLASP7oMbTP7hDArSOJdQ\\u002fvmJtL5KF1D91zYsCtubUPxcIl6r\\u002fSNU\\u002fs7Wdnm+s1T8+YhPTARHWPzU2TauudtY\\u002fy2hhTWzd1j9xxX9FMEXXPz9ANl\\u002fxrdc\\u002f1HWYlakX2D\\u002f1x0r3V4LYP1hWTlkC7tg\\u002f619Qs7Za2T9JP0kCjMjZP4kAZJKiN9o\\u002fy6BYlyOo2j\\u002fIelwCQBrbP72SN44ujts\\u002fPKN8BCkE3D9RP9XJaHzcPzJlP8oi99w\\u002fc8Rt6IJ03T+oWKkcp\\u002fTdP3QWFXead94\\u002f8VaXPlD93j82pZNon4XfP6Mt5VIfCOA\\u002fKzQBn2BO4D+GBkx3SpXgP4s66HuA3OA\\u002fI+YXPZMj4T9KzTccAWrhPwSgTeI3r+E\\u002fYK3xB5fy4T+mHciicjPiP766Z+UWceI\\u002fO7bLF8yq4j8MypTo2t\\u002fiP351tfKQD+M\\u002f9BzpT0U54z8X07IOXVzjP0a9sGJPeOM\\u002f\\u002f+3aZ6mM4z+toLpUEZnjP0qrp\\u002fxIneM\\u002fKxlyiS+Z4z\\u002fehklbwozjP39a4gUdeOM\\u002fT2hwanhb4z+k9q\\u002f2KDfjP8K3gRmcC+M\\u002f31E4BVXZ4j\\u002fyqEre6KDiP2CFZXr6YuI\\u002fgfSY1zUg4j\\u002f2SXN1S9nhP3sPMrrrjuE\\u002fxObJjMJB4T\\u002fJC3dJc\\u002fLgP95p+TGVoeA\\u002fRp3KdLBP4D+hwJK\\u002fd\\u002frfP3etrZY2Vd8\\u002fdwQfhj2w3j\\u002fDX\\u002fzSBAzeP0oZdxneaN0\\u002fCUxntvbG3D\\u002fJXhdEWybcP16qMfT7hts\\u002f+kxfirHo2j+M0se3QkvaP5V4Qpdprtk\\u002flf6TDNkR2T\\u002fJw0zOQXXYP+\\u002fJaOlW2Nc\\u002fFF5Cl9E61z+IQTFJdJzWP1pUv9gM\\u002fdU\\u002fS1cY13Vc1T9OtK4Bl7rUP7QqcOxkF9Q\\u002fAsbY+t9y0z9qmFXIEs3SP5OYcyUQJtI\\u002fhzog0vB90T9j5r4d0dTQP\\u002f9aHZTOKtA\\u002fzfImtQsAzz8JFEm2IanNPxBuUqkKUcw\\u002fFE6jvuf3yj+Iv0zZzp3JPyuQHYTKQsg\\u002fVrOEytrmxj8LuZ\\u002fW9onFP1K22yoPLMQ\\u002fH46qRRDNwj\\u002fMSk555WzBP49DxMB7C8A\\u002fYoWyuohRvT8pvkYcbom6P84yKXanvrc\\u002fpKb270bxtD9Lwb6fcSGyP67q11e9nq4\\u002fvkthGKr2qD9DyeYpUEujP2gtrjTMOps\\u002f7mHB9aC2jz+4eovAb+ZxP3cZd1IGpHu\\u002fToLedWpLkr8kIlNqw6ydvzBks6A\\u002fhqS\\u002fyEhNtjI1qr\\u002fLjYFeSeOvv1m9YQhdyLK\\u002fqDje5O6etb+3NHbvk3W4vyFPjdCNTLu\\u002fdv7lMSAkvr+hsfUmRX7Av6HLIDYA68G\\u002fvQsZ2FJYw7\\u002fRTDNNQ8bEvw78M0vKNMa\\u002fyw4Ab9Gjx7+ATd50MhPJvxPmu0e3gsq\\u002fST+k6xryy7+p\\u002ffY6C2HNvz5wm2Erz86\\u002fEqMaewse0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bl0bgv3p6+9zfdOC\\u002f8AlGx52h4L99qjhow8zgv\\u002fy9Hf1D9uC\\u002fLaqOBRQe4b+hvO08KUThv0+LPX96aOG\\u002f8hXsnv+K4b+K+NQxsavhvzLj7VuIyuG\\u002f8sPFnX7n4b\\u002fv5EOsjQLivwjh+VWvG+K\\u002fNJX4eN0y4r+EAIgKEkjiv7uNgTBHW+K\\u002fMxh5ands4r89PnfHnXvivwAZ4CO2iOK\\u002fc1VQar2T4r\\u002fPEM7RsZzivycaqhOTo+K\\u002fEXzZk2Ko4r91e193I6viv6\\u002fqh6Xaq+K\\u002fBGwdso6q4r8YI1+wR6fiv6OAIvAOouK\\u002fABcsqO6a4r+zB0KS8ZHiv70Lsn4ih+K\\u002fcpzm5Yt64r81uiF\\u002fN2ziv1zXfeMtXOK\\u002fLQfrQ3ZK4r+EZAM4Fjfiv+ldUKoRIuK\\u002fWU8E5WoL4r+MGlfAIvPhv+ICvPE42eG\\u002frUkoeay94b\\u002fOJbsnfKDhv34ZZjmngeG\\u002fqiHT+S1h4b9kV8trEj\\u002fhv5Jb3elYG+G\\u002fQKkBtwj24L\\u002f4xX52LM\\u002fgv0e6U4PSpuC\\u002frWfoIA194L8Ngp6A8lHgv06sApqcJeC\\u002f1vlcq1Hw37+BN5Qab5Pfv5lwy8rWNN+\\u002fROfvD9HU3r+6ZCGQp3Pev64HTHGjEd6\\u002fBdptgguv3b+Ni5F2Ikzdv4rJ80Yl6dy\\u002fU9kT0EmG3L+\\u002f2666vSPcv\\u002f6g+r2lwdu\\u002fw0kRRB1g27+Vf5x0Nv\\u002fav7ljr6T6ntq\\u002fTKmmJWs\\u002f2r9OvhtoguDZv\\u002f6xu2M1gtm\\u002f3n5eMXUk2b8nzT7CMMfYv9BDz51Wati\\u002f9y50j9YN2L97q2Euo7HXv4tz+iuzVde\\u002fsRMtWAL61r\\u002fL\\u002fElPkp7Wv6kjbslqQ9a\\u002fjHmkiJno1b\\u002f7\\u002fQfoMY7Vv1ZNMhNMNNW\\u002fplzb8QPb1L9yUYDXd4LUv0X7+wnHKtS\\u002ffEkKNBDU07+mLp7Zb37Tv5tVs+P+KdO\\u002fYY3fV9HW0r9uZ29N9YTSv+9XcS5yNNK\\u002fhZXqTkjl0b+n7MLfcJfRv+SLAT7eStG\\u002fhLUAmnz\\u002f0L9xJo3tMrXQv6nbtzPka9C\\u002fBUCu0XAj0L\\u002f51cc6cLfPv7utttozKc+\\u002fsFr2OPCbzr\\u002fWwD7bbw\\u002fOvwUZ2HiGg82\\u002ft0dy1xL4zL+2uiELAG3Mv3s2+QlG4su\\u002f0wECjelXy78DxONB+83Kv0iO31mWRMq\\u002fD4tWi967yb89U3ii\\u002fTPJv0XPg8Mgrci\\u002fmxrzhHUnyL9gvMQJJ6PHv0E3xUNbIMe\\u002fkMNLgzCfxr9bZXF1ux\\u002fGv6nJoqsFosW\\u002fWufivwwmxb+2F5AgwqvEv5uBdYULM8S\\u002fV5vjBsS7w7\\u002f+2O\\u002fGvUXDv4CwSRXE0MK\\u002fQOCw751cwr\\u002f5alq8EOnBv8L+sxjjdcG\\u002fdkUblt8Cwb\\u002f1+04\\u002f14\\u002fAvxbUhcSjHMC\\u002ftrsHYlJSv79sPucmrmq+vwlcsxNSgr2\\u002fbg+PVE2ZvL+naRWUxa+7vzIcB1v0xbq\\u002fV5ZEZSPcub8uALQdqPK4v4afnn3eCbi\\u002fVnO9kyMit79YRjz7zzu2v0MjQosyV7W\\u002fUlMWhIt0tL\\u002f\\u002fWPx3CJSzv6B9yCPBtbK\\u002fKE6KXrXZsb+vXis5zP+wv3FQTVfUJ7C\\u002f7e639Qqjrr+yFgJZBvmsv5G2aLrAUKu\\u002fLQZuokepqb\\u002fj0Og2mgGov3GW7NOzWKa\\u002fwl8qwpatpL9watSGVv+iv\\u002fmVWFAhTaG\\u002fP7w8IZAsn7\\u002fVkBrQibSbvxf9zzZ\\u002fMZi\\u002fG2190B+jlL+q\\u002fAROewmRvxfpwxT7yYq\\u002fMhEO8cxsg7918fAN+vp3vznt2QxA+mG\\u002fMsl1URhpWD\\u002fqeoqiLUV1P7Aaa9i8PoI\\u002f54WIyqHeiT+WYi2tx7+QP5xwiCGVj5Q\\u002fr70TlcVdmD\\u002fKnn+3qCmcP0Zs\\u002f6LX8p8\\u002f2raztJvcoT+tvL4SfL6jP4ti815In6U\\u002fsX7x1Vt\\u002fpz87CpmbLF+pP+PZbdhFP6s\\u002fv16hI0EgrT8c2kyLvwKvP6YvXkaxc7A\\u002fPEudpWJnsT9LRH4mu1yyP\\u002fN8E\\u002f74U7M\\u002fMhAJD09NtD\\u002fKntEy40i1P76jxBvNRrY\\u002fQzWM1BVHtz+WWIfat0m4P7g9pcqfTrk\\u002fWkTukq1Vuj9FmpoWtl67PxiBUy+Fabw\\u002f3vwS9N91vT8Fw\\u002f0sh4O+PxCod9s5kr8\\u002fzjo639tQwD+QK0De4djAPzKMgQ8TYcE\\u002f8d9XRlfpwT+ko+DZmnHCP8TaukvP+cI\\u002fSiKJu+uBwz8Hr8Yj7QnEP\\u002fz53l3WkcQ\\u002fEBjR7K8ZxT+sNfuOh6HFP12H\\u002fJhvKcY\\u002fK8vwHH6xxj9h86PiyznHP69UwDZzwsc\\u002fzB9kmI5LyD+2XPZNN9XIP43zdeuDX8k\\u002fOvbH1YbqyT+MyKrPTHbKP+pL1J3bAss\\u002fWX1K0DCQyz+DjSC\\u002fQB7MP5rSWMj1rMw\\u002fzk6s2y88zT9\\u002f91ZfxMvNP38hwHZ+W84\\u002fExbtsB\\u002frzj\\u002fbfi8hYXrPP5x2RXB6BNA\\u002fvpr\\u002f+ENL0D+hSrY\\u002fYpHQPwL6KjCq1tA\\u002fCK\\u002fK6\\u002fEa0T\\u002ft3LA4El7RPxwpAvTnn9E\\u002fFDLDeVXg0T+c8s\\u002fzQx\\u002fSP+HJtYGkXNI\\u002f1tD2K3GY0j+1KquWrdLSP2zehWlnC9M\\u002frOjmZbZC0z\\u002fdNsMmvHjTPyGupImjrdM\\u002fCw+xw5\\u002fh0z8QLFop6xTUP19O5bLFR9Q\\u002fYQcrS3N61D+XUZ74Oa3UP9KoqPJf4NQ\\u002fuqeWtikU1T+8EJUv2EjVP49riwSnftU\\u002faoP2HMu11T8tKk5rce7VPyT0Fwi+KNY\\u002fA9axpMtk1j93XExYq6LWP101tsRk4tY\\u002ftcrBi\\u002fYj1z94q3QJV2fXP3f9GUN1rNc\\u002fi9L79znz1z+XFiq+iDvYPztAfRRBhdg\\u002f7qoNUz\\u002fQ2D\\u002fWWrVkXRzZPxJK3jZzadk\\u002fBKTG0Fa32T8UGWAI3AXaP2jSyNDTVNo\\u002fPzLOJAuk2j9DzqKWSfPaP3WPmZRPQts\\u002ffdrzeNSQ2z+FfEWAhN7bP4cpSsb+Ktw\\u002fe3f7a9N13D9NBAgLgr7cP53WU5p4BN0\\u002f2zvT5BJH3T+2st+vmoXdP5r2NKhIv90\\u002ftYpFJUbz3T+ej9LJryDePzyqBf+YRt4\\u002f\\u002fP0fPRBk3j+rAJwKJHjePxvE25Dogd4\\u002frzyknH2A3j\\u002f2nCvZFHPeP2R8zA74WN4\\u002f+fvWKo8x3j+EK7zUZfzdPwpuFFYwud0\\u002fPQbRns9n3T+wPy81VAjdP0Foj+n\\u002fmtw\\u002fNcbVMEYg3D+q2REUy5jbP\\u002fXKVbFgBds\\u002fis1iVwNn2j9GBIRT1L7ZP07yCZYTDtk\\u002fArTCXRhW2D8jAAAlSZjXPw5lxRIT1tY\\u002fZEs4OOEQ1j9GXRzlE0rVP1475V34gtQ\\u002fcNGtOsG80z9+TlOwf\\u002fjSPzz\\u002fQvwdN9I\\u002f88yZIFt50T\\u002fJOHYRyL\\u002fQPzLwWmbGCtA\\u002f3bWeJxG1zj9s7lVFJ17NPxrOjJiEEMw\\u002fXYOCq5LLyj8phF\\u002fyeY7JP7pYmkQuWMg\\u002fs+M3e3wnxz8qrtWpGPvFP7UFTWas0cQ\\u002fSMxfluSpwz\\u002fCvQBEfoLCP5Si6AZSWsE\\u002fZQOSpF0wwD93pwM7lwe+P5De3u3wp7s\\u002f+++bUutAuT\\u002fcnJJrFNK2P99ot\\u002fphW7Q\\u002f\\u002ffhWFSrdsT\\u002fBQdVNMLCuPz9pjxg+mqk\\u002fFtAYD9J6pD8n0PprGameP0O1OnVtVJQ\\u002fyjofpHb6gz+o\\u002fIEXqcY1v9c96SNNR4W\\u002fwlAx4iHklL+sK1FuFRWfv74Kuu\\u002f6maS\\u002fzJjE4Zmfqb\\u002ffBy2wH5uuvzG98DZgxrG\\u002fk8w7c5E6tL\\u002fxNMlsqaq2vw0l18dXF7m\\u002fHRwA5WuBu78odCQOyum9v9GMvi+wKMC\\u002fbI2q9o1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BpoA1Ljv+AtJN+8deO\\u002f1jBBrW+Z4796vvnGML3jv07L5V4T4eO\\u002fImUqTSgF5L+yLbyTfSnkv+O+gAQeTuS\\u002fccnRDBFz5L8vaiGoWpjkv2AspXn7veS\\u002f38kTC\\u002fHj5L8DZMAsNgrlv3Qay3HDMOW\\u002f7MjOwY9X5b8HUXf4kH7lv0\\u002f+z4q8peW\\u002fi0zmKQjN5b\\u002fWW5VaavTlv5\\u002fs7vraG+a\\u002f38K3rlND5r9susEt0Grmv4VFhHBOkua\\u002fhawXuc655r+E\\u002fZB4U+Hmv2vCkxLhCOe\\u002fIviqgn0w57\\u002fSZYXoL1jnv\\u002fjkdQEAgOe\\u002fzp6FlvWn578hbvDmF9DnvwJjAxdt+Oe\\u002fH1MJq\\u002fkg6L80oz0VwEnov+2zq1zAcui\\u002ffUuA4feb6L9d37RBYcXov975OF\\u002f07ui\\u002fGGfshqYY6b81dPa1akLpvxrvY\\u002fkxbOm\\u002fanWN4uuV6b+kqq0Jh7\\u002fpv6eiUpfx6Om\\u002fYbYBzRkS6r+g\\u002f32F7jrqv0flpqVfY+q\\u002fPpXOd16L6r\\u002fzmavs3bLqv6+Ik77S2eq\\u002f5rJpdTMA679bgYNL+CXrv0LBmvUaS+u\\u002fY4yiUZZv67+EntwBZpPrv49zzPqFtuu\\u002fOdSIC\\u002fLY67\\u002fcvmVopfrrvwe99z+aG+y\\u002fpL4EYsk77L+33Bn\\u002fKVvsv7R6O4axeey\\u002fuleOpFOX7L9GWgFpArTsv\\u002fAfAoyuz+y\\u002fSwc92Ufq7L8V+XC3vQPtv6qhk8j\\u002fG+2\\u002fKBX+mv4y7b9aijJjrEjtv17QE7X9XO2\\u002fB3sqM+pv7b8NGdgqbYHtvzrTHBWGke2\\u002fEFrP9Dig7b\\u002flKcuMjq3tv9sekWqUue2\\u002fI1cIxFzE7b+WHFwp\\u002fs3tv4p\\u002fPw6T1u2\\u002fdX4IMDne7b\\u002fHSfzfEOXtvzOVsDo86+2\\u002fQpV7Vt7w7b\\u002fYpntzGvbtv0D0vTcT++2\\u002fuYV1Aer\\u002f7b+pyQ5YvgTuv3pIQ4OtCe6\\u002fOM45TdIO7r+pJlPyRBTuvxsdoj4bGu6\\u002ff\\u002fNZ1mgg7r9\\u002fA96jPyfuv4XEtGOwLu6\\u002ffBqTRMs27r952SGQoD\\u002fuv6+AIFBBSe6\\u002ftPUv479T7r\\u002fG7+h0MF\\u002fuv5lJ7U2pa+6\\u002f8NNZ8kJ57r8kqE4HGIjuvz4KFftEmO6\\u002fq+mabuep7r9oT2ZiHb3uv7y4mywE0u6\\u002fO5cMQbfo7r+9KFLXTgHvv6gnkn3eG++\\u002f2JCIqHM4779UjrRSFFfvv55j97y9d++\\u002fnYKFYmOa77+AuLgw7r7vvxuXJhE85e+\\u002f1ku16I8G8L\\u002f1Zzq4MBvwv9kohWpfMPC\\u002fe1dUdvZF8L\\u002fVpK6WzFvwvxtmSLi1cfC\\u002fdd8+DISH8L9hiR03CZ3wvy9OkJEXsvC\\u002fc4D+boPG8L+fap1dJNrwv+e0YVPW7PC\\u002f2YSZu3r+8L\\u002f8AOVZ+Q7xvxxnsPhAHvG\\u002fHsQ020cs8b\\u002fov0ftCznxv69R0K2SRPG\\u002fA2Fy0+hO8b9Er9CtIVjxv94VhEhWYPG\\u002f7Zx6V6Rn8b9fOLv2LG7xv0sVckkTdPG\\u002fIGqXBXt58b+K+2b6hn7xv4UrLqBXg\\u002fG\\u002fmhetvwmI8b+6U2c+tYzxvz4W0xtskfG\\u002fWUlpqTmW8b\\u002f\\u002fkkIFIpvxv2hERtwhoPG\\u002fRAsVdi6l8b+xL+kJNqrxv3v3wFggr\\u002fG\\u002fhLBshs+z8b9bNaYoIbjxv5F9RYHvu\\u002fG\\u002fiJwK1xK\\u002f8b8NxWHfYsHxv7zLAyu4wvG\\u002f2xhph+3C8b92X6tH4cHxv2HDomh2v\\u002fG\\u002fk3u2hZW78b+ibeuVLbbxv9eCHGs0r\\u002fG\\u002fBkzd76am8b+J4jIjiZzxv65I89PlkPG\\u002fQTccIM6D8b\\u002fHvLS+WHXxvwYcuhyhZfG\\u002f\\u002f\\u002fgcV8ZU8b8UMOIc6kLxvwVRCoUvMPG\\u002fbx3x47kc8b8j42arqwjxv67o4F8l9PC\\u002fzDbSq0Tf8L+x5pyYI8rwvwQjq\\u002fLXtPC\\u002fpdY13HKf8L8KTSaQAIrwv1lpcFSIdPC\\u002fa\\u002fhTmQxf8L+IETpBi0nwvxFgcQv+M\\u002fC\\u002fwW\\u002fvGlse8L8zHH+RlQjwv\\u002fNA02485e+\\u002fkV9gT8i477902KTyqovvv7xOsr2\\u002fXe+\\u002fJvC+bOIu779+jRwL8P7uv2aRu7zHze6\\u002fpkvDVUub7r9hdKi\\u002fX2fuv0zF4S3tMe6\\u002f\\u002fUXHJt\\u002f67b8tnS5nJMLtvzEA36iuh+2\\u002f9hbzVHJL7b9UH6crZg3tv3iH5uqCzey\\u002fsJM2\\u002fMKL7L\\u002f0AGsxIkjsvz+K+5WdAuy\\u002fjS\\u002fwWDO767\\u002fwvEvR4nHrvxuwv5ysJuu\\u002f1HFp1pLZ6r8GhHxhmYrqv54RKkLGOeq\\u002fXRTi\\u002fSHn6b8aMEX7t5Lpv3BO0tmWPOm\\u002fkAeLudDk6L+SPHJre4vovwDG3oSwMOi\\u002fXp0QUY3U5788hDSeMnfnv5wT8GTEGOe\\u002f40eTS2m55r8S9ggISlnmv7KueaWQ+OW\\u002fRPcytGeX5b\\u002fMS7Fr+TXlvxpclMdu1OS\\u002frQu+qO5y5L\\u002fGb98DnRHkv3INQyaasOO\\u002fote+GAJQ479+f24n7O\\u002fiv19gOJNqkOK\\u002fGaJBcIox4r+ZNHGyU9Phv9j2DmfJdeG\\u002fkRaHGOoY4b9rGntXsLzgv4N1qWITYeC\\u002f8xzm5QcG4L\\u002fTQ+SOAVffvxYlAfXfot6\\u002fBgtSm47v3b+RV9dY8jzdvy3Dcpfyity\\u002fee9AdXrZ27\\u002fGfnmjeSjbv+Krhfvkd9q\\u002fHHG6xrbH2b+QJvq47hfZv+BBQaKRaNi\\u002ftmSb3qi5179iOgaPQQvXv9YhOqhrXda\\u002f+o0Q5jiw1b90HjqzuwPVv1Z8IRUGWNS\\u002fNGI1qyit0786aW\\u002fPMQPTv+lo2+MsWtK\\u002fdshB1iGy0b8nRgrgFAvRv85fHYUGZdC\\u002f+ahIoud\\u002fz78epW2erTfOv7Uu6GlO8cy\\u002fvVK0brasy78LShP70GnKv67rQUiKKMm\\u002fJsEPhtHox7+sINjOmqrGv\\u002fIdn+jgbcW\\u002fmmmwuqYyxL\\u002fVlvBi+PjCv8Xv5NrrwMG\\u002fVLAKIqGKwL8wB0bSg6y+v13yn4ABSLy\\u002fy3Hiny\\u002foub8xqKRTjo23vyUHV4qlOLW\\u002fBPrrdwDqsr+53\\u002fHFKKKwv\\u002fgQcl5Dw6y\\u002fST63e8ZRqL91TUrBq\\u002fCjv9b1NyI6QZ+\\u002fJH8R4i3Elr9quUlLj9WMvx0tlKbJ1Hi\\u002fSFMJNCnNXT\\u002f9kRpt45eDP3INPyE5mZE\\u002fxwTKQxFGmT98154vGGqgP3K0jcHFIqQ\\u002f6CaY1yLOpz+XaDroTm2rP8vthytuAa8\\u002fC\\u002fGESNBFsT8efu+cfAazP6\\u002fL6mM7w7Q\\u002fP+woY358tj9OCa0xpzK4P1Jyb08F5rk\\u002fTHKKAtWWuz\\u002fc0Kf7PkW9PynIB7tY8b4\\u002fJZnm05JNwD+mwUhiTCHBP0GCb3PL88E\\u002f9rSfqfzEwj8+YpVOyJTDP7xwqtQTY8Q\\u002f0eHHWMMvxT9BecwVu\\u002frFP+Tavrvgw8Y\\u002fzQNKnxyLxz8te4e4WlDIPwEb1mqLE8k\\u002fRB9KEqTUyT9JDABWn5PKP6P+J0F9UMs\\u002ffQrfJkMLzD+rFstW+8PMP7CG3Km0es0\\u002f+TiQ74Evzj8LBItEeeLOP3Zdc1uzk88\\u002fdKdIYKUh0D+87AOQrXjQP04jwEoAz9A\\u002fqzt6hask0T+sIH\\u002fVvHnRP7L44TRBztE\\u002fIMUr00Qi0j9efpvy0nXSP3SVzdH1yNI\\u002fH\\u002fo4obYb0z9xHqCDHW7TP0mxXZgxwNM\\u002fVttUDvkR1D99E0A+eWPUP7+LG8u2tNQ\\u002f+YBzx7UF1T9hI27eeVbVP4Nnd38Gp9U\\u002fatl+C1\\u002f31T9mnbkCh0fWPxDC0zGCl9Y\\u002fIwxs3VTn1j+yLZ7qAzfXP+McRAOVhtc\\u002fz0p8tA7W1z+RDO2FeCXYP1koMwjbdNg\\u002fZK3v2D\\u002fE2D8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FnCvlP0iI8C9GEuU\\u002fqnryHTn55D+N2LHId+DkP6w\\u002fdacEyOQ\\u002fzIAmbeGv5D\\u002fNn0LLDpjkPzcvkj2MgOQ\\u002fOAMD4ldp5D\\u002fbkHdfblLkP\\u002f7Srt3KO+Q\\u002fEOuRD2cl5D8GwUVQOw\\u002fkP30aY9I++eM\\u002f02W832fj4z8sbysnrM3jPzuFDxUBuOM\\u002fEiB6Mlyi4z865o6Gs4zjP+l+W\\u002fX9duM\\u002fr6FolzNh4z\\u002fYs4EFTkvjP4ArqZRINeM\\u002fV73gfiAf4z\\u002f460z21AjjP0QdQSFn8uI\\u002fqgXf\\u002ftnb4j+orxs1MsXiP\\u002fOfHsp1ruI\\u002fcJ79y6uX4j\\u002fGY8Pq24DiP+FNbAkOauI\\u002fdwkIy0lT4j9KYHIhljziP3PcE+P4JeI\\u002fPPDTbHYP4j9ondxUEfnhP+hlCTLK4uE\\u002fmQDiep\\u002fM4T9t6OB9jbbhPzOEjHOOoOE\\u002fhNimqZqK4T8wkHvFqHThP1GILhquXuE\\u002fStDsDp9I4T\\u002foQxSQbzLhP4ko1YUTHOE\\u002fLCKFSn8F4T8HmNcaqO7gP3TOdXqE1+A\\u002fznX9hwzA4D+fkDg8OqjgP6iFY5EJkOA\\u002fsmCBkHh34D+RBAREh17gP4FWXpA3ReA\\u002fRZtg9Iwr4D8LAXM0jBHgP+2+oOl17t8\\u002fFk58jz653z+uu7ZqfoPfP\\u002fIP74VATd8\\u002fcCDe\\u002f40W3z+N4pg7bd\\u002feP2ECzjHhp94\\u002fqq\\u002fg6+hv3j\\u002fePsMvfzfeP7hdHmGa\\u002ft0\\u002f43vCmSzF3T+Bqrj4I4vdP\\u002fTdpyRrUN0\\u002fcPTL++kU3T+b6ItphtjcP6tV71clm9w\\u002fsizfsatc3D8ufFJq\\u002fxzcP6j2T3wI3Ns\\u002fL8wJ2LGZ2z9Tb0Yy6lXbP0P6uaykENs\\u002fJbPWT9nJ2j9LutdQhYHaP3oOQyGrN9o\\u002fIbG4R1Ls2T\\u002fWZHsEh5\\u002fZP\\u002fsPlMZZUdk\\u002fP9ykeN4B2T8zo1muK7HYP0+UybxZX9g\\u002fqHAByYEM2D+U00PYvLjXP51YUu0iZNc\\u002fpZZKPcoO1z\\u002fyWVeFxrjWP+v1uYgoYtY\\u002f3y6XvP0K1j9xoZkkULPVP65G\\u002fmAmW9U\\u002fEPAd7IMC1T8LlR+DaanUPzzmULPVT9Q\\u002fdMnHg8X10z9zBH8xNZvTPwgZLPMgQNM\\u002fjtOfuYXk0j\\u002fwZqPhYYjSP1mI78y1K9I\\u002f2o0JWYTO0T+ornUs03DRP3Q7sdSqEtE\\u002fepCzsRa00D+r3iyuJFXQP6nygYzJ688\\u002fXXrnwdAszz+Zu40Fg23OP34qFcQDrs0\\u002fyeEHznPuzD+ovHFG7y7MP5hXu5eLb8s\\u002fCL0Ch1Wwyj\\u002fMolh9T\\u002fHJP146ZxxwMsk\\u002fgvYsMaFzyD9gvMITv7THP3eUw36Y9cY\\u002frJIN5O41xj\\u002f46m4\\u002fd3XFP2Z+oGLbs8Q\\u002fByHqsLvwwz+0ois8sSvDP5es+jBQZMI\\u002fkDo8fCqawT9LhzuS0szAP+ZssHu8978\\u002fonwPvNJNvj8h+CjxMJu8PxHIaxU237o\\u002ffgx5BVsZuT9u4feiNUm3P8KWagx7brU\\u002fUoy12ACJsz\\u002fu4sdOvZixP5yzhzeNO68\\u002fKppvJ6Iwqz8a9RokWRGnP1ib3y2C3qI\\u002foqbhFisynT8gUPO2VYSUP0EaBFO+a4c\\u002fJVoeIdVJZj88LFDJffx4v3svfSqHwY6\\u002fL7bijmOZmL+o6gZYbvOgv\\u002fDx9a6ho6W\\u002fKlqyz3Vcqr\\u002f15ek5Nx2vv7NatPeq8rG\\u002frPGlbTJatL8qb7\\u002fYC8W2v6\\u002f5MbYfM7m\\u002f5RrFzWKku7+cVX1g0xi+vyzupQA7SMC\\u002fGmeBHqmFwb+KnN6bt8TCv9NHqjJoBcS\\u002f9EA3QLlHxb9rdCJwpIvGv7KsWKQd0ce\\u002ffqc6JRIYyb8CtLYhaGDKv1Mez4P+qcu\\u002fIHyNGq30zL\\u002f4FfgWRUDOv\\u002f0kYtaRjM+\\u002fxm7A+Kxs0L8w15RCMBPRv3cvzFOzudG\\u002fFXTTfRZg0r8i8kOpOgbTv8X6LSYCrNO\\u002fNlowdFFR1L8gXjr7D\\u002fbUv8JZma4omtW\\u002fSRHxlIo91r+H5+wwKeDWvy8Zycf8gde\\u002fM7M5hAIj2L+QuKF1PMPYvwKX8WyxYtm\\u002fG7bSuWwB2r\\u002f3zvHLfZ\\u002fav7OkN733PNu\\u002fVWeGyvDZ278pkBrBgXbcv6Dq82bFEt2\\u002fG+Gs5Neu3b9x2+M21krev7za16zd5t6\\u002fs0kceQuD378sCywsvg\\u002fgv6qudSgmXuC\\u002f9C+QRsus4L\\u002f2MiKouvvgv6km3AIBS+G\\u002fbuDhs6qa4b+D7GLdw+rhv2D+JoxYO+K\\u002fGlBh4nSM4r\\u002fW98REJd7iv3DGmIZ2MOO\\u002f9Z1tEXaD47\\u002fMsB8FMtfjv2368Uy5K+S\\u002fhobaphuB5L\\u002fkunuaadfkv7G5x120LuW\\u002fXBXjpQ2H5b9es4Zjh+DlvxR42GozO+a\\u002fg11xByOX5r9\\u002f1wd+ZvTmv0rD8H0MU+e\\u002foZhZhSGz57+Mfb47rxTov3EIqca7d+i\\u002fglI0HUnc6L\\u002fXsSRfVELpvysIkjTVqem\\u002fngMxO70S6r9J3zCG93zqv78SaDVo6Oq\\u002fMs0rKOxU67+U8a3PWMLrv0lBHiR8MOy\\u002fpgwRvxyf7L\\u002f7YNwc+g3tv68quQXNfO2\\u002fPYaFHkjr7b90Ug6gGFnuvwQEzjLnxe6\\u002fTu4b7Fgx779Myt9oEJvvv7Scg4BXAfC\\u002fzQEeB+sz8L9ak9sfFGXwv82WRXqllPC\\u002freGxynPC8L+qLEJzVu7wv1c1YyUoGPG\\u002fa3E9eMc\\u002f8b+w7rBwF2Xxv9bcs\\u002ff\\u002fh\\u002fG\\u002flUc+PG6o8b+ySVT+VMbxv1d+OMGs4fG\\u002fXStY43P68b8iihabrhDyv2JHOdhmJPK\\u002f3f5ZCqw18r\\u002fzCWPNkkTyvxAwvX00UfK\\u002feVBrtq5b8r9FtNy7ImTyv89Huta0avK\\u002fN79aootv8r\\u002flUdpSz3Lyv6mBCfeodPK\\u002fVDqBukF18r8NMSgswnTyv3xUVY1Rc\\u002fK\\u002fisp9LRVx8r+exQPWL27yv6iuSEnBavK\\u002fTOCb1+Vm8r\\u002fsZgMMtmLyvw6DMnJGXvK\\u002fGC1PdqdZ8r8sF3Je5VTyv1BYGV0IUPK\\u002fIL8auxRL8r9YPgUXC0byv\\u002fkLVrfoQPK\\u002f71ty7Kc78r8TxP1+QDbyv8MQ6iaoMPK\\u002f30yBB9Mq8r\\u002f1kK4stCTyv8g07QU+HvK\\u002f+3+G22IX8r8MFiE7FRDyv1xDF1lICPK\\u002fCFiNZPD\\u002f8b82CtLMAvfxv6moKnd27fG\\u002fx7bF5EPj8b\\u002fRbSJJZdjxv6\\u002fkxJHWzPG\\u002fsSWIYJXA8b\\u002fg1ET6oLPxvw290Cv6pfG\\u002f5TmPJ6OX8b\\u002fSwOJdn4jxv1W3zFLzePG\\u002frH\\u002frcqRo8b9Sf9HpuFfxv9c2Zns3RvG\\u002fRo6oYSc08b8eIsQvkCHxv\\u002fr7\\u002f7p5DvG\\u002ffEGhCez68L\\u002ftdXVH7+bwv9kRW7+L0vC\\u002fh\\u002ffQ2Mm98L87bVkYsqjwv4uJViFNk\\u002fC\\u002f+w\\u002f2t6N98L+7FcrBvmfwv82vyUOnUfC\\u002fw4CnXGY78L\\u002fVSLA6BSXwv+S7tQyNDvC\\u002fAX3K2w3w77\\u002f9U5OZ98Lvv8YLK5zole+\\u002fgutVWPFo779b5UUpITzvv820owqGD++\\u002f9ZbgVCzj7r\\u002f2EkR\\u002fHrfuv\\u002fR0H+tki+6\\u002fptlWuwVg7r9Y1ge7BDXuv5o4hFVjCu6\\u002fVJIioSDg7b\\u002f\\u002ftpZ9Obbtv0Xto8WojO2\\u002fmFUUk2dj7b9jWACTbTrtvwUpoWexEe2\\u002f\\u002fD81FCnp7L8Sku5uysDsvxkFgJSLmOy\\u002fOt2vWGNw7L9b2lqvSUjsv2clkAk4IOy\\u002fZf\\u002feoin467+uz4+7G9Drv8y2S70NqOu\\u002fzy+fSAGA678C3MIq+lfrv12RHTz+L+u\\u002fEc\\u002f3KBUI67+Fjs4mSODqv1dajpmhuOq\\u002fXzq1rCy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aWIxx7izVv2EPERrHpdW\\u002f5d10usQb1r980vtUyo7Wv+onKZK\\u002f\\u002fta\\u002fmFikKZBr179FVGsuK9XXv2dK5EmCO9i\\u002fTa6g8Yie2L87fFmjM\\u002f7Yv6gG4DF3Wtm\\u002f8Pd5LEiz2b+pNXNomgjav5zGsbJgWtq\\u002fBRnfrIyo2r8uyWHXDvPavxs9B8fWOdu\\u002fXfr4gtN8278zGokF9Lvbv+bMm9gn99u\\u002fwvkNxV8u3L9YuoKLjmHcvxZ6hZypkNy\\u002fofPxxam73L\\u002f8MhXMi+Lcv1xa9OVQBd2\\u002fXb6KFf8j3b90kY9WoT7dv8MiVqBHVd2\\u002f\\u002fsuJuQZo3b8qLMXe93bdvyiMNz84gt2\\u002fgiOYVOiJ3b\\u002foEnQdK47dv5b7WkIlj92\\u002fguZ8L\\u002fyM3b9AaOUs1Yfdv4rxm3\\u002fUf92\\u002fMFWOnRx13b+9K019zWfdv08vVAkEWN2\\u002fprbqvNlF3b80jK5uZDHdv+uzrUq2Gt2\\u002fYA2t+90B3b8APvYA5+bcvyr+4ivaydy\\u002fFndxPr6q3L+605SimIncv7qmwjBuZty\\u002f4JyA+0NB3L\\u002fL0ncVIBrcvyyf10cK8du\\u002fbPyVrwzG278Q\\u002flY5NJnbv+ceaPWQatu\\u002fKMczPzY627+gD8W1OgjbvzJOSAW41Nq\\u002f8nbNg8qf2r\\u002fXg9ClkGnav8atFVEqMtq\\u002fHIEhFrj52b83rOlZWsDZv9eKOXowhtm\\u002fyk6h91dL2b8H7Jqv6w\\u002fZv0Lc3TAD1Ni\\u002f0jKqMrKX2L+mVzI2CFvYv+6rTFcQHti\\u002fqIxTT9Hg179WV66qTaPXvwAmBy+EZde\\u002fOYbNbXAn178RVXR8C+nWv3bM88lMqta\\u002fgb+YBytr1r8FUiIanSvWvza7rQeb69W\\u002foAj71h6r1b\\u002fSvS5VJWrVvy8eVLiuKNW\\u002fZN99Fr\\u002fm1L9p8GOrXqTUv0HXrOiZYdS\\u002fs+CTT4Ee1L\\u002fJYDQVKdvTv3fUTZWol9O\\u002fpoe1mRlU07+YEsN+lxDTv+KIuz4+zdK\\u002fiC1+bymK0r9fMW0+c0fSv\\u002fkmtHYzBdK\\u002fQBeinX7D0b+yLdMvZYLRvwBSaQjzQdG\\u002fSoql+S4C0b\\u002fd7eybGsPQv\\u002fPcvlWyhNC\\u002fGbJ9nO1G0L9ZU0drvwnQv2kCMNUtms+\\u002fygtcgsAhz78j4XcJC6rOv6Xo\\u002f37fMs6\\u002f5urG\\u002fQ+8zb97MsK9cEXNv7GOPAzazsy\\u002fzr3IDipYzL\\u002fw2tg8RuHLvxkRXH8casu\\u002f3dkC6qPyyr8bE5gG3XrKv0JC\\u002f6\\u002fRAsq\\u002ffq6ff5SKyb9iKxHVPxLJv3plhYT0mci\\u002fQIJvPNghyL\\u002fbISS2E6rHv5e5b8fQMse\\u002ft0RXbDi8xr+i+1LgcEbGv8leVd2b0cW\\u002fPB\\u002fpFNVdxb9Qsrn0MOvEv4VJG8S7ecS\\u002fj2HPI3kJxL8O54n0Y5rDv4rt2qNuLMO\\u002fkERW2oO\\u002fwr8ANleBh1PCv01FyRJY6MG\\u002fZZEdItB9wb907CwLyBPBv9YlU7IXqsC\\u002f\\u002fY2eQJhAwL9MkgGPS66\\u002fvya68HFB276\\u002fRLArR94Hvr8NdtRJ+zO9v\\u002fm3VxGAX7y\\u002flVIEHmOKu79apnSxqbS6v5Xt4Phm3rm\\u002fXoOKl7oHub\\u002fUIaymzjC4v2YGZUbVWbe\\u002frfmn3wWDtr\\u002fFpCI6mqy1vyymOorL1rS\\u002f2bGgms8BtL+ej6ky1i2zv1c3wdYGW7K\\u002fg5wg+36Jsb\\u002fjcb26ULmwv6FGFDsE1a+\\u002fIQLQ4xk6rr9MIQlsvqGsvxwHMQ64C6u\\u002fE1btDLp3qb\\u002fHeKY+aOWnvw3owChbVKa\\u002fdaXncyTEpL8ALOSAUzSjv7jKfeZ5pKG\\u002fVZiXpC8UoL+JSum9LQadv7dxhfS94Zm\\u002fY52S\\u002f426lr8KUJFtPpCTv0PdLtuTYpC\\u002fIMoj3e1iir\\u002fC6R+y5fmDv3O5xjbKFHu\\u002fuOlyQ+dTbL+uff7ZAkwzvygEVR0ekmc\\u002f7piEzYXNeD\\u002fu56raSOuCP+UrOBoLcYk\\u002fQZJVKP\\u002f2jz+7qPX0Ej6TP+B4oN7If5Y\\u002fiIckgjXAmT9eq7WY+f6cP1sCRaDhHaA\\u002fnykLKCe7oT\\u002fflNIjMlejP3A9uAbu8aQ\\u002f1fdq0EyLpj9lLvH2RiOoP0Q2xXHbuak\\u002fAIF68g9Pqz\\u002fRBflQ8eKsP1FteSqUda4\\u002fVx+k1YoDsD9dtTk6zsuwP1HTMsSsk7E\\u002fqBFHkkRbsj9OO3i1uSKzP3G4k1426rM\\u002fJEqc1eqxtD+9Tc8tDXq1Pxh2j6vYQrY\\u002fGyAO1YwMtz8CAeoqbNe3P4V27Yq6o7g\\u002fUWNcRLtxuT9riI3qrkG6P35FjvfQE7s\\u002fi9r6VFXouz86Gr\\u002fkZb+8P1zr2yUgmb0\\u002foFliEpN1vj94SXNTvVS\\u002fP7wjFvNFG8A\\u002fn\\u002fmBpGyNwD+G2yaitgDBP2K0Ta3+dME\\u002fCHpe8xbqwT\\u002fRN8HyyV\\u002fCP+ziv7Db1cI\\u002feJKiNwtMwz\\u002fR1ZhQFMLDP6\\u002f5y2mxN8Q\\u002fAt5blp2sxD+xtjCUliDFPwQxlcJek8U\\u002fzRWJ9L4Exj+uCLQKiHTGP22kzUKU4sY\\u002ffbsiLchOxz9KFXo8E7nHPyc31uhvIcg\\u002fgIo9YuOHyD+Q4ZfVfOzIPyeBlUpUT8k\\u002f7+48JomwyT9YNvBhQBDKP6pdQ4qibso\\u002fOhOvm9nLyj8EwODUDijLP5lvDJdog8s\\u002f7qwqbAjeyz9TmXdJCTjMP2zc6SF+kcw\\u002fIlzN2HDqzD\\u002f5X2Cg4ULNP3EFdcvGms0\\u002fqCXnEw3yzT8R325SmEjOPzgbOp9Ens4\\u002fNQwCzufyzj9yST40U0bPP8Go16RVmM8\\u002fPbB4ir3ozz8M5DWErRvQPxLh9gQBQtA\\u002fBJJ6FEZn0D8rZs4rbYvQP+otQx1rrtA\\u002f4bI+kznQ0D93ZBpc1\\u002fDQP4OO9IBIENE\\u002fP0njJ5Yu0T\\u002fIpHJEzkvRP7UIoxsDaNE\\u002fgGGcokqD0T8QfOXAvZ3RP7UPEYB3t9E\\u002fgNdtM5TQ0T\\u002f0D1aiMOnRP8g+PT9pAdI\\u002f4BeZdFkZ0j9MIEoPGzHSP6HvTszFSNI\\u002fviZrDW9g0j+nix62KXjSPy+F8C8GkNI\\u002fWzzQkhKo0j\\u002fUpjjsWsDSPzCcBZ7p2NI\\u002fIaOLzMfx0j82raHS\\u002fQrTP2GB7rGTJNM\\u002fghD4dZE+0z8aEyeB\\u002f1jTP2ClI7zmc9M\\u002fmwCQoVCP0z\\u002fm9x4iR6vTP6XcOV\\u002fUx9M\\u002fGfW+PALl0z9tB7fM2QLUP6brFZpiIdQ\\u002fwHGR2aFA1D+cOTiJmWDUPwgJoYhHgdQ\\u002fBTM6tKSi1D9h72UOpMTUP8aGqQAy59Q\\u002fuc9GvjMK1T+vsi3Qhi3VPw\\u002ftYNAAUdU\\u002fMFzGWG901T\\u002fgYgQnmJfVP\\u002fQIo3Q5utU\\u002fZAdJgArc1T9vSrtCvPzVP2yTXkj6G9Y\\u002fjfZ4pms51j+p1GgCtFTWP1Ubh6B0bdY\\u002f\\u002fzF6cE2D1j8dfF0N3pXWP+xtRqnGpNY\\u002fRB5M3aiv1j8YnTJZKLbWP6g1HHDrt9Y\\u002f+xEIgpu01j9R7ExE5avWP0RohO14ndY\\u002foFleSwqJ1j+RtnPKUG7WP4YIVXkHTdY\\u002f++mjEO0k1j+A7f0JxPXVP4DU1M5Sv9U\\u002fTIMIB2SB1T8JfD8NxzvVP7bHp4xQ7tQ\\u002fxzIYSduY1D+Io5oPSTvUP11ZYsqD1dM\\u002fzsk8sH5n0z9KotKEN\\u002fHSP0GYt9y3ctI\\u002fUcp2Vhbs0T\\u002fXjpy4d13RP9drTOQPx9A\\u002fOdVIjCIp0D+P2O1CBwjPPxBKq88usM0\\u002fF6wMU6RLzD8klZgBb9vKP8sYYWuyYMk\\u002fvqUtYKvcxz8kSrYGrFDGP2PCqTkXvsQ\\u002f601URVsmwz9BIQwo7IrBP9xJYft62r8\\u002fcYZ8hnidvD\\u002fk8\\u002fZEkWG5P1dX0+1fKbY\\u002fPU6seE73sj+1\\u002f5RSGJuvP\\u002fSyPzcKXKk\\u002fsardKrc0oz+tckhNjU+aP3AS8qf33Iw\\u002fbMsQJvNHZj+eTDHTyj6Bv9v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2oV6D+svPP7TvPnP95u\\u002fUxr0ec\\u002fdo3l9sCv5z+9we1\\u002fUY7nP0fK7xsebec\\u002fiKZ0midM5z9As6pbbivnP1WU1UvyCuc\\u002fn5p65LLq5j+FRUgyr8rmP\\u002f5kit7lquY\\u002f53rnOlWL5j\\u002f99SZO+2vmPzvu2ODVTOY\\u002fVQrkiOIt5j\\u002fW9TizHg\\u002fmP+dcL6uH8OU\\u002fEVxZnxrS5T+rReKj1LPlP5tkz7KyleU\\u002fL2iwqrF35T\\u002fLvHVMzlnlP\\u002fujOjkFPOU\\u002f3gjW8FIe5T9AwffRswDlP4hXeRwk4+Q\\u002fygBc9p\\u002fF5D+5XbRzI6jkP4c7hKGqiuQ\\u002fTVo\\u002fkzFt5D\\u002fKGndytE\\u002fkP2KQ7o8vMuQ\\u002f1hIpdZ8U5D+UoWT1APfjP3Xe4TxR2eM\\u002fEade3Y274z8cvb7WtJ3jP3yjBpvEf+M\\u002f\\u002f8sFDbxh4z98TlN5mkPjP0qrj4lfJeM\\u002fp\\u002fMxMgsH4z8mHHqbnejiP\\u002fwscAYXyuI\\u002fW6cbr3er4j\\u002fSgVOtv4ziP8QPqtXubeI\\u002fMnsGnARP4j\\u002fD1HX5\\u002fy\\u002fiP2YEoFbfEOI\\u002f8EAafKDx4T8cg4uJQNLhP88cQ\\u002fS7suE\\u002fdJeCjQ6T4T+5PleQM3PhPzmyerYlU+E\\u002fugFSU98y4T\\u002fOeM1zWhLhPwUhpQGR8eA\\u002feh076HzQ4D8\\u002fWVA5GK\\u002fgP\\u002fZes09djeA\\u002fayEl7kZr4D+HOttY0EjgP+mkSGj1JeA\\u002fnv0plLIC4D++c2nsCb7fP93maIjUdd8\\u002faP2hg8Es3z+gZktVzuLeP8cOcSv5l94\\u002foDZyp0BM3j+Y+W+To\\u002f\\u002fdPzIac5Qgst0\\u002fEO5G3bVj3T8KNAzmYBTdPw89WSwexNw\\u002fgm1f\\u002f+hy3D9RcQVbuyDcP4JoONSNzds\\u002foHvtl1d52z+ipnJ9DiTbP0Heyyunzdo\\u002f8f37UBV22j990EnpSx3aPwjT2pM9w9k\\u002finRn8dxn2T92Ql4JHQvZP2RKibHxrNg\\u002fiF819E9N2D\\u002fR9PVwLuzXP7KiZ7SFidc\\u002fP+fCg1Al1z+lBKIZjL\\u002fWP4tzCFI4WNY\\u002fsmV3xFfv1T8CA6DL74TVPy\\u002fkB3sIGdU\\u002fMrytg6yr1D\\u002f7zWIJ6TzUP\\u002f+YGmvNzNM\\u002fb2zfAGtb0z9CXWTS1OjSPwFcUUkfddI\\u002fX59k4l8A0j9v317grIrRP\\u002fMwaQMdFNE\\u002f9lZAR8ec0D9\\u002f4\\u002fepwiTQP4gjPPlLWM8\\u002f8NTtfA9mzj\\u002fTGeIF\\u002fHLNP+CAzsM8f8w\\u002fWtp74vuKyz8McvCMYpbKPyM+BP2Yock\\u002fnj5Nk8asyD\\u002f\\u002fJfryEbjHP3XzDh2hw8Y\\u002fdpGJhpnPxT8uvzglINzEP\\u002fnLgG9Z6cM\\u002fDa3hS2n3wj\\u002f1i8ntcgbCP7E3Dp6YFsE\\u002fqtRGbvsnwD+VoUuudXW+P3jzs4Xonbw\\u002f5Fa7CoXJuj87dtyKevi4P4lUTbPwKrc\\u002fuYjFOwZhtT8bfz6Lz5qzPy5w+mBV2LE\\u002f1J7BjJMZsD9oAEeD77ysP1OIPh3BTak\\u002f9KvDEDnlpT++fold04KiP7IMn1\\u002fUS54\\u002feuF3pmublz9jJt2hmvKQPweFlQ+fnoQ\\u002fMxoRrOZ5bT+ynVBpCIFnv03uhV\\u002f5IoO\\u002fCxb7D683kL+K0CPAreWWv\\u002fXrVeN\\u002fnp2\\u002f0Jw2GJkyor9SHb0bZZ6lvy5ia5ccFKm\\u002frY+YSieVrL9+eQ6\\u002fahGwvw4r8tQs37G\\u002f9XW6Q2G0s7+VgMXeepG1v+\\u002fyZ6fVdre\\u002fTHEG+bRkub8j2oY6Qlu7vwnTYiKMWr2\\u002fF1uuloZiv7+HcPGWhbnAvxKKKijtxcG\\u002fyZiJek7Wwr\\u002fhVdl3c+rDv1bowN8cAsW\\u002fJL7s5QMdxr\\u002fPCJD62zrHvwZ\\u002fUa9UW8i\\u002fbzp1qRt+yb8+0VuR3qLKv20VSe9Mycu\\u002fuFra5RnxzL9dmqW7\\u002fRnOv3FdIie3Q8+\\u002fhzEXKQY30L9XvpPGZczQv3igTNblYdG\\u002fJx3hB3b30b8W28soCo3Sv0LDptSZItO\\u002fuLdNASC4078tf3Bsmk3Uv\\u002fmQYPEI49S\\u002fDxHezmx41b9Wm0zlxw3Wv2E0BPYbo9a\\u002f2l5g7Gk4178IpL44sc3Xv3K70kTvYti\\u002fUfCYBx\\u002f42L+1RMu9OI3Zv3FRIsoxItq\\u002fSNbpvvy22r9RF56QiUvbv3A9d+\\u002fF39u\\u002fcbkPxJ1z3L+O+8XJ+wbdvxGlKkDKmd2\\u002fduvJq\\u002fMr3r+LAvWdY73ev+3S5noHTt+\\u002fSla5Nc\\u002fd378Iuw79Vjbgv+owUF5NfeC\\u002fnXm6VcjD4L8H8ZO9xwnhv3KZJMZNT+G\\u002fQXFs9F6U4b\\u002fbtwkNAtnhvwmNf+w\\u002fHeK\\u002f3MzfTiNh4r\\u002fRMZSJuKTiv7QtmjoN6OK\\u002fqLbz8C8r47+emFDSL27jvxvuBEIcseO\\u002f\\u002fsBBjQT047+aRjag9zbkv26rRscDeuS\\u002fSOPmfja95L8pDOxTnADlv1uJVtVAROW\\u002fBtG7ly6I5b8MF5tJb8zlv3+WFdcLEea\\u002fs6fDmgxW5r8RiruYeZvmv+3aXMBa4ea\\u002fNHwZMbgn579ypUV+mm7nv3tr9u0Ktue\\u002fs5ofrxP+579pt3QDwEbov0j6CFockOi\\u002fB0RBWDba6L\\u002faNVrPHCXpv6jng53fcOm\\u002fUMdbeo+96b+goFOvPQvqvzuuUr37Weq\\u002fqKCL8dqp6r+Gkhrs6\\u002frqv0EFexs+Teu\\u002fX81EMN+g679pZt2M2vXrv7Ma6bQ4TOy\\u002f0thFwP6j7L9p1DrVLf3sv8+VT63CV+2\\u002fkyHvJ7Wz7b+vHZ3t9xDuv1E+GCZ4b+6\\u002fFKVTQx3P7r+YrbziyC\\u002fvv3LDz8VWke+\\u002fZWKQ4pzz779zQQjGNSvwvy7badnGXPC\\u002fYz5BnmSO8L8LPgm577\\u002fwv6GOn8FG8fC\\u002fzRT1jkYi8b\\u002fQwN2LylLxv6EYDBStgvG\\u002fyzQl2Mex8b\\u002fxILpH9N\\u002fxv7oN0\\u002f8LDfK\\u002fjsOXPOk48r9c6H9MZ2Pyvzj7VQNjjPK\\u002f2986K7uz8r+VOb\\u002fxUNnyv5y3FU8I\\u002ffK\\u002f\\u002fvhXZcge879Q\\u002fNjVez7zv2sZjgoRXPO\\u002fyfKzcXp387+FxACqrpDzv4uO8Z2op\\u002fO\\u002fi6YLjWe887\\u002fpXEcC787zvy\\u002fYQLdG3\\u002fO\\u002fF50\\u002fZHrt878bL6B9mfnzvwf1qd+2A\\u002fS\\u002fEMdZaugL9L89nyKPRhL0v\\u002fUZFdPrFvS\\u002fEjA\\u002fSPQZ9L8hk2MBfRv0v\\u002fmgX4OjG\\u002fS\\u002fIAq1N4Ua9L9b\\u002fK7jPhj0v4LrgCfsFPS\\u002fThOHCKcQ9L\\u002fL0n+Jhwv0vxl+K1OjBfS\\u002f47NBbw3\\u002f878RFRwX1vfzvzaZ25YK8PO\\u002fmlEtRbXn879lOjOP3d7zv2+7exeI1fO\\u002fBnFk5rbL87\\u002fe\\u002f8epacHzvxyabwGetvO\\u002fGQdz1U+r878k8X+zeZ\\u002fzvxo67C8Vk\\u002fO\\u002fhCp\\u002fRxuG878SQwG\\u002fhHjzvzHw331KavO\\u002fVfKF4WVb879ZuG4H0Uvzv0c+bQyHO\\u002fO\\u002fRPIYQIQq878XL89Lxhjzv6SxME1MBvO\\u002fgAxz5Bbz8r+sI0I3KN\\u002fyvxORQemDyvK\\u002fT9N+Cy+18r\\u002foulEEMJ\\u002fyv+0nQHGOiPK\\u002fb2V9BFNx8r+w1o1fh1nyv9ivd+w1QfK\\u002fakS8tmko8r8Fvh5FLg\\u002fyv4zPAHWP9fG\\u002fyDvgV5nb8b9fskQTWMHxv30ZOMPXpvG\\u002fv8g2XySM8b8JtmOhSXHxvzqGt+9SVvG\\u002frVXZRks78b9MfFQmPSDxvxlR7n0yBfG\\u002fugL4mzTq8L\\u002f6aJgcTM\\u002fwv1oxLdqAtPC\\u002fQLgG39mZ8L9Z8+JYXX\\u002fwv4jxpo4QZfC\\u002f2On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ov06QHYc4S+i\\u002fTEuFKtJu6L+fnjTrR5Lov57mNlietei\\u002fLPKpWNnY6L+efk4G\\u002fPvov7a6IZQIH+m\\u002fM8bYQABC6b8fe1JU42Tpv7VzaSaxh+m\\u002fkUUKLWiq6b+k6BcPBs3pv7b6frmH7+m\\u002foqXhc+kR6r+y1X\\u002fyJjTqvxmNZWM7Vuq\\u002fwx90dSF46r9eWYFY05nqv8SofbZKu+q\\u002f4QhMpoDc6r8t5aaZbf3qvxaGCEgJHuu\\u002fLsYImUo+67\\u002fm7fOQJ17rv6cMgUKVfeu\\u002f80t9yIec679Q9\\u002fxJ8rrrv6HgLAvH2Ou\\u002fpww9jPf16792mRi3dBLsv7lVwRsvLuy\\u002fgvk7OhdJ7L883xHYHWPsv0xClF40fOy\\u002fa6xQPk2U7L8CWZJTXKvsvyL2akdXwey\\u002fCMSV6DXW7L+MEp938unsv+6fEOKJ\\u002fOy\\u002f7gn36PsN7b8aot8vSx7tv\\u002fWtZzJ9Le2\\u002fvtmSH5o77b8RuFCbrEjtv4Zt0WfBVO2\\u002flVR4+eZf7b+W11D5LGrtv7FS17qjc+2\\u002ftaKgqlt87b8greS7ZITtv6pEI9vNi+2\\u002fXF8DbKSS7b\\u002fiXSrY85jtv2KfHzTFnu2\\u002fadxm\\u002fh6k7b\\u002fkHtz7BKntv+\\u002fCEzN4re2\\u002fQgEfB3ex7b\\u002fsuqpw\\u002fbTtv6bSC1MFuO2\\u002f2jqD6Ya67b950ONHebztvxID2+jSve2\\u002ft3N2Q4q+7b9bPiRhlr7tvxQeXm3vve2\\u002fqNVxOI+87b8JN2incbrtv1Ef4QuVt+2\\u002fYcfLX\\u002fqz7b8hEiNipa\\u002ftv3IRNpOcqu2\\u002fR2J1EOmk7b\\u002fnNC1Rlp7tv1r38Maxl+2\\u002fYs24ZUqQ7b88LbwYcIjtv21u5CkzgO2\\u002fZRU9oqN37b+Vwwiq0G7tv4MKF+\\u002fHZe2\\u002fUKCiF5Vc7b+yuWVHQVPtv9vQu7vSSe2\\u002flMifgkxA7b8nIihPrjbtvy9J32z0LO2\\u002fQugK0hcj7b+V17FPDhntv4PUAt3KDu2\\u002fcKiz+j0E7b9AlBMqVvnsv04e5XIA7uy\\u002fUFSo8iji7L9wztFvu9Xsvx\\u002fSe+ujyOy\\u002fTJFqLM+67L9fuLw+K6zsv\\u002fQfTuSnnOy\\u002fu5eh8jaM7L9HPQ2czHrsv2Dy1qJfaOy\\u002f3ZPgdelU7L\\u002fqbWo3ZkDsv9USRK\\u002fUKuy\\u002ff8Z3KjYU7L9ZoQxLjvzrv4IQ48ri4+u\\u002fn2HsNDvK67\\u002fv0RCYoK\\u002frvwZ8AjcdlOu\\u002fXMICOLx367+YSklXiVrrv0tATp6QPOu\\u002fOCG9Id4d67+RulHHff7qv2UDXhR73uq\\u002f0EM8BeG96r85m4PtuZzqv9NMemAPe+q\\u002f4ZX8IOpY6r\\u002f35+EXUjbqvxlJ1U9OE+q\\u002f2t+W9eTv6b95f7FbG8zpv+Zy0wD2p+m\\u002f2xEpmHiD6b\\u002f1pkwTpl7pv46VlK2AOem\\u002funq5+AkU6b8\\u002f0PXqQu7ov8zW2+4ryOi\\u002fDtAq9cSh6L9vp+iIDXvovwMw8eUEVOi\\u002f63kJEqos6L\\u002f0BVf4+wTovzpZ44b53Oe\\u002fdveYzaG057\\u002fu2+sd9Ivnv6wSKirwYue\\u002f\\u002f8lFI5Y557\\u002fUTc3T5g\\u002fnv3Q\\u002furbj5ea\\u002ftWHKCI+75r+nmDLT65Dmv1EYsO79Zea\\u002fTZhC\\u002fsk65r9Y5jFhVQ\\u002fmv6FVZRym4+W\\u002fflF\\u002fu8K35b9FHZ0qsovlv1l5BIp7X+W\\u002fHmxo\\u002fSUz5b\\u002fjAb54uAblv0te1Iw52uS\\u002fncUENq+t5L8LZVSvHoHkv6ULSUyMVOS\\u002ftLt7W\\u002fsn5L+CkKETbvvjv1kCWIzlzuO\\u002fC5yBw2Gi478+bHGv4XXjvxuEjF1jSeO\\u002fIeJwHOQc4780sh+wYPDiv\\u002fsiJY7Vw+K\\u002fQABJHz+X4r+Bt\\u002f4Dmmriv9YklljjPeK\\u002fadAb9hgR4r\\u002fLyuisOeThvx8RGHZFt+G\\u002fLHxvmT2K4b9aRMHFJF3hv4sPXBr\\u002fL+G\\u002fnQDEINIC4b\\u002fzB6C2pNXgv0LDe+h+qOC\\u002fokuvvml74L84MWP+bk7gvw\\u002fnN+GYIeC\\u002f\\u002fU0cjePp379CbYfDB5HfvwdW0tGxON+\\u002fcHn+jvPg3r\\u002fqGlix3Inev63CJlh6M96\\u002f8tElsNbd3b85STO3+Ijdvw+5WSLkNN2\\u002fTCXqZ5nh3L9B6dLtFY\\u002fcvyLw0VpUPdy\\u002f68ebB03s27\\u002f0l6aL9pvbvyk3B2BGTNu\\u002fuf3EkTH92r9AukF8ra7avxfU1oOwYNq\\u002fO3GcyDIT2r9Of3XJLsbZv8F68u+hedm\\u002fw0Ng\\u002fowt2b+9uWBa9OHYvx8Yri\\u002fglti\\u002fysIbaFxM2L83WXl3eALYv2FMoPtGude\\u002f\\u002fDeZMt1w178yQF1KUinXvwzPMY++4ta\\u002fWYrsfjqd1r+lMobI3VjWv1FmO0C+Fda\\u002fem0K0e7T1b\\u002fgWaB0fpPVv+ipuzp3VNW\\u002fTtWvaN0W1b9s4Q65rtrUv6QMksLhn9S\\u002fXscwjGVm1L8FdvdSIS7Uv3hrqYT09tO\\u002f6+SX8LbA079yHGguOYvTvzij0jhFVtO\\u002fHPTDOJ8h079e3r57Bu3Sv0R3AY82uNK\\u002fptu\\u002fd+iC0r\\u002foydb\\u002f00zSv1XAqg2xFdK\\u002fcX+E\\u002fTjd0b99AqXyJ6PRv\\u002fBAghY+Z9G\\u002faA4ivUAp0b8LeVVm++jQv6Uip5RAptC\\u002ftxcadOpg0L9rjVJM2xjQvzD7xXb7m8+\\u002fzYRicIkAz78GR1W6Vl\\u002fOv45ieftouM2\\u002fTIZpFdQLzb\\u002fjZ2WWuFnMvwt9b+JBosu\\u002fwzD4I6Tlyr+2rCUWGiTKvwtj57viXcm\\u002fn35\\u002fFz+TyL+jlvz1b8THv0pyQ+Gz8ca\\u002f4YjJSUUbxr9OGgn3WEHFvwEIGcscZMS\\u002fl7DD4raDw792SRQYRaDCv3s9uOncucG\\u002fnibjxYvQwL8EBoVnr8i\\u002fvyUuOaaA6r2\\u002f9jkqTYAGvL+4RcE0nBy6v16TDm6+LLi\\u002fa3qc3NA2tr+DaAjfwDq0v2iRkuCCOLK\\u002fZET+rhUwsL\\u002f16FjlCkOsv\\u002f5dbFXcGai\\u002fsM+dJ\\u002fvko7+l8q6a0Umfv0SzYoWbtJa\\u002fxIoXsOQXjL9xy3gQ+EZ1v+85fRiyvms\\u002fKtfY3smciD+srZYoWS+VP6HG+Jn7F54\\u002f+uN4QcCCoz94CTdBi\\u002fqnP6LV6cj6caw\\u002frlTTaNtzsD9\\u002f300XPa2yP6s6212M5LQ\\u002fno65U0IZtz9BF\\u002fZV6Uq5P3bPVYseebs\\u002f8xSfxZKjvT9xKsa8Csq\\u002fPxGaflMv9sA\\u002fyWpvmzwFwj83EEwHKxLDPzH68N3\\u002fHMQ\\u002fEq5JqsYlxT84DD3njyzGP+OQbpdvMcc\\u002f\\u002faZG13s0yD8ReFt3yzXJP\\u002fjyaqx0Nco\\u002fAw6t4Iszyz+vlG6wIjDMP9lzuRlHK80\\u002fmG5q5AIlzj8yKpJFWx3PP12fPl8oCtA\\u002fsQesmu+E0D9dXZgh\\u002f\\u002f7QPz9\\u002fmNhQeNE\\u002fL2SuDt3w0T+KNf7emmjSPx8EEZ2A39I\\u002fFv64RoRV0z+QJL32m8rTP649tlO+PtQ\\u002fEdz19uKx1D8q4+LHAiTVP5nj40gYldU\\u002fdHKt0x8F1j9dgI\\u002fDF3TWP72HH40A4tY\\u002fQsdVw9xO1z9KqNoKsbrXP6lS0fyDJdg\\u002fG43h+l2P2D9jU5v2SPjYP7bBiS5QYNk\\u002ffGlq43\\u002fH2T9odwQI5S3aP7IJDO6Mk9o\\u002fswde8oT42j\\u002fdg7Qq2lzbP3jKvxaZwNs\\u002fPRJZVs0j3D8j3UxmgYbcP+UrB2W+6Nw\\u002f2Vw84ItK3T8bZX+s76vdP8+QkMftDN4\\u002fj5kNRoht3j\\u002fJhApNv83eP2mu9xeRLd8\\u002fYeMRC\\u002fqM3z9K0GrS9OvfPwAYsEY9JeA\\u002fptoKg0FU4D9SJhx6AoPgPy31\\u002fCR7seA\\u002fVN3qRKbf4D+RUqSRfg3hP3wQI+r+OuE\\u002fKmpphiJo4T9Rt+0o5ZThP7p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10z+\\u002fwaGMCNzTPx5joHKWvtM\\u002fROHu3Iyc0z\\u002fQuHg0tXXTP7aoRrnTSdM\\u002f173zu6cY0z8L5adG7OHSPzZDoTdZpdI\\u002fvIVfyaRi0j8HzoV+hRnSP1kez2G0ydE\\u002fxadKhe9y0T+NnMen\\u002fBTRPx1DIOSrr9A\\u002f+UEiTNpC0D\\u002fI3I6g6JzPP8j7vKzvpM4\\u002ffYZGx+udzT+TRguFJ4jMP1tArSIXZMs\\u002fRpcaWlgyyj9NnhzksPPIP\\u002f\\u002f+E6gLqcc\\u002fL0WUqnRTxj\\u002fkjqXZE\\u002fTEPzKCZ+ImjMM\\u002fZdIGR\\u002focwj9XHeT04afAP+Da\\u002f0FjXL4\\u002fa\\u002fzYZ2piuz8lBP4cU2S4Px7zdNprZLU\\u002fQdkuVMxksj9AC5RMmM6uPwREyAP42qg\\u002fQLb2KEPxoj8a9Nkd2SaaP6YolrZGC40\\u002fk7n\\u002f8TMEaD8hvfCytM+Av1WjBqO2s5O\\u002f1hcUyvXjnr92E2jN\\u002f\\u002fykv8vqYu7Ee6q\\u002f83tWqDLvr78OCfcPE6yyvxlxaiutW7W\\u002fG0JnAaoGuL9tHOV1KK26vysOLbYdT72\\u002fhQddPlHsv7+O026eLULBv5R9RahSi8K\\u002fD9ybwTbRw7+4\\u002fZSkZRPFvzFGLRxbUca\\u002fY59IDIeKx7\\u002fygFjwUb7Iv8CQEZch7Mm\\u002f9bfG4F0Ty7\\u002faIOdHdTPMv5dEpf\\u002fgS82\\u002fB9iueyhczr\\u002fERLQ85GPPv5Mz6ONfMdC\\u002fgVQSXT2s0L8s0M96dCLRv\\u002fWIqPf4k9G\\u002fBsYrmccA0r\\u002f\\u002fQOwZ5WjSvyzXEs5czNK\\u002frbFtFz8r07\\u002fjhZS\\u002fn4XTv9ytPU+U29O\\u002f97M0eTIt1L\\u002fVBZqtjnrUv\\u002f5ES+e6w9S\\u002fzJy2wcUI1b+r3R3huUnVvwnvqrKdhtW\\u002f00HthHO\\u002f1b9Qkab0OfTVv5X4cKXsJNa\\u002fS\\u002fr3OYVR1r8V8md8\\u002fHnWv69af6VLnta\\u002fkA5rr22+1r\\u002f+x1ShYNrWv33yRsEm8ta\\u002f\\u002fMGym8cF17\\u002fkGWLSUBXXv5mZyKfWINe\\u002fV6hQP3Qo17+UrzePSyzXv24xmgSFLNe\\u002fFoM\\u002f3k4p17\\u002fZ9lJG3CLXv2LTVzZkGde\\u002fSdkgMyAN179h3E7wSv7WvyxDwuse7da\\u002fQXV6EdXZ1r\\u002f6DJl3o8TWv+x1tEC8rda\\u002fUKZvsEyV1r+6J4x7fHvWv6o2iFltYNa\\u002f2vN\\u002f2jpE1r+ssaOA+ibWvwLYUhm8CNa\\u002f3ir0Torp1b8N3x1qa8nVv4RrpzZiqNW\\u002fKdPp\\u002f26G1b+mjs2WkGPVvyYoUlTFP9W\\u002f\\u002fYz0Cwwb1b+C4q7iZPXUv9NuKAHSztS\\u002fScTwGVin1L\\u002f2Mi2\\u002f\\u002fn7UvxFFzoXQVdS\\u002f0tIP99or1L+2co1TLgHUv9FNdi3d1dO\\u002f2RFL4fup07\\u002f7WPn1n33Tv3j5Cm7fUNO\\u002fUWr2E9Aj078vpGjLhvbSvxznqPAWydK\\u002f+ZgKzpGb0r\\u002frt9UtBm7Svww3PA2AQNK\\u002f3\\u002f71cggT0r99cRNqpeXRv4kUnB9auNG\\u002fvky\\u002fHyeL0b+ies+tCl7Rv4FSBzEBMdG\\u002fa6BDrwUE0b8ycXBOEtfQv+hMadUgqtC\\u002fuTB0JSt90L+tFkSmK1DQv8AQg58dI9C\\u002fHepk+Prrz78zsUfrkZHPv2etoUr+Ns+\\u002fJTym\\u002fEDczr95+jhhXYHOvwtxefJYJs6\\u002flLPixzrLzb9hYr4FC3DNv4bqTkPSFM2\\u002fTMAT8pi5zL8Cg+rPZl7Mv69voWxCA8y\\u002fHBTqyTCoy7+Iz5waNU3Lv0KbCKRQ8sq\\u002f5yHDwYKXyr9XiDcKyTzKvzBaMJAf4sm\\u002fmXboO4GHyb9KXec06CzJvyN0H1VO0si\\u002fLWd5na13yL\\u002f4\\u002fy6kAB3IvwMCCvZCwse\\u002fvqK5ZHFnx78Gp+U9igzHvzTMVmiNsca\\u002floRbZnxWxr87ml8+WvvFvx0MX0wroMW\\u002fbAZVAPVExb\\u002fe6++OvenEv6hSmZqLjsS\\u002f9HQ522UzxL+36gTLUtjDv83nHF5YfcO\\u002frgbgyXsiw7+Pi4xfwcfCv8nWWnwsbcK\\u002fCR2Zj78Swr9tMaw1fLjBvwJySGVjXsG\\u002f1IzUqnUEwb9Rpc1ss6rAv++oRDMdUcC\\u002fuNJp2Gfvv7\\u002fprBZN8jy\\u002fv2bGd3zeir6\\u002fi05h6TLZvb9IyEzk9ye9v2w+MVw3d7y\\u002fEWY4ffzGu7\\u002f5\\u002fqwgUxe7v68nCBVHaLq\\u002fYIQ9SOO5ub8PwhrhMAy5vy7pjlY2X7i\\u002fTOLTlPayt78liqdAcAe3v4O59iedXLa\\u002fQHaX7XGytb8GqQL73Qi1vxmXib\\u002fLX7S\\u002fQK10QCG3s7+gaAb5wA6zv8\\u002fIwwSLZrK\\u002fz63kiV6+sb+LwqpVGxaxv\\u002f1V0pijbbC\\u002f5eInX7uJr793Cte9azeuv63sY+A\\u002f5Ky\\u002fiLowKTGQq7+j\\u002f4T3TDuqv956Ehe25ai\\u002fw65vVaWPp79+E2kqaTmmv6gofWpk46S\\u002faU0DBgyOo7+\\u002fc9bi4zmiv6PiVOl656C\\u002fZaokz8wun78+DXPseZScv554vSIiAZq\\u002f2vErONd1l79HKIEPjfOUv0QdMa8Pe5K\\u002f2CMLbPoMkL\\u002ffGoQvYVOLv5rx6giwooa\\u002fVuscN6sHgr\\u002fdD5fCMAN7v9aGAod2HnK\\u002fNPxc8HG7Yr8wbks4KpUnvyxlsK8kJ18\\u002f6iCzjkw7cD\\u002fsvOJEAp54PwMph8QofIA\\u002frJ5j8VuohD83KiXDzNaIPyi+R6yJCo0\\u002fyzSFETSjkD\\u002f4x6TceMaSPyoMKyQq8JQ\\u002fnGRU2yohlz9RJZLbJVqZPwgJUdyLm5s\\u002fVIlHiZPlnT8q\\u002f4jUHRygPzqHO5mnSaE\\u002fm8yXjjV7oj\\u002fFTAvWgrCjP1xPWHE76aQ\\u002futus5wAlpj90LSMnb2OnP0ua8XMhpKg\\u002fUuNvN7fmqT9Sx4eD2CqrP3+4+CI6cKw\\u002fnCnTE6G2rT9bxXhP5f2uP1xLAeX5IrA\\u002f1J71zGfHsD+ygQEgSWyxP5MpZoe1EbI\\u002fbuua2863sj+MjIgDwF6zP5kOv3W7BrQ\\u002fu4dZZ\\u002fmvtD+Tunu2tVq1P6mQJ6AtB7Y\\u002foFmRUp21tj+3uBZuPWa3P2O2jIdAGbg\\u002fine9vtDOuD+5CKZ7DYe5P2n+UGQJQro\\u002ffjAMnMj\\u002fuj9TvC9bP8C7P6\\u002fSvOxQg7w\\u002fZCzHHM9IvT8X4OkfehC+PyUlAPkA2r4\\u002f5AIIXwKlvz8h1sMQhzjAPwQEDYPTnsA\\u002fWdIBiyIFwT8Ia30nLGvBP5KLYdOl0ME\\u002fziz\\u002fJkQ1wj9JjeSNvJjCP\\u002fLjvATH+sI\\u002fRnQo0h9bwz\\u002f6oxQtibnDP8XyLcPMFcQ\\u002f73uQEr1vxD9foOGKNsfEP2FEfGsgHMU\\u002fJvNIVm1uxT\\u002fACy+RG77FP1t2sfI0C8Y\\u002frRUpec5Vxj+RKg6PB57GP48lwgEJ5MY\\u002fh0otswMoxz9dNycRL2rHP0c96F\\u002fHqsc\\u002fpdaP5gvqxz+I6goOPSjIP1lAQYOaZcg\\u002f53FhbWGiyD+YUmLIyt7IPw+jZPIJG8k\\u002fbI+UeEtXyT+FJpQttJPJP\\u002f7ucZBg0Mk\\u002fYhDah2QNyj+apLJxy0rKP7nM1IOYiMo\\u002fIek8d8fGyj+dZQR0TQXLPyM54zEaRMs\\u002f06j1PhmDyz9oeixdM8LLPyDIMuZPAcw\\u002faFK8JVZAzD8QGxebLn\\u002fMP79ldxTEvcw\\u002fP++wmAT8zD8vMs4W4jnNP20pE9ZSd80\\u002fKXxLpFG0zT+m56DD3fDNP1PxcZz6LM4\\u002fihSQOq9ozj8DScmfBaTOP09+ivcJ384\\u002fdtemuMkZzz\\u002fjgtLCUlTPP\\u002f6AIoWyjs8\\u002fnFnpOfXIzz8XWFGhkgHQP0ChMlalHtA\\u002fiF1ScbU70D8j6IhJxFjQPx5eJeHRddA\\u002fPa\\u002f+Bt2S0D\\u002frAyKL46\\u002fQP6\\u002fVx4LizNA\\u002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qv1i9iS0HIeq\\u002fp10Nzg076r\\u002fDq5pi7VTqvycEI2yvbuq\\u002fxp2YuVqI6r8YyohP86Hqv8ZS0Wp6u+q\\u002fve5cne7U6r\\u002fnF8YCTO7qv5mU04mMB+u\\u002fkn8AT6gg67861rEDljnrv2ZQYl1LUuu\\u002fSnPsh71q67+lnDGW4YLrvxW1p+ysmuu\\u002fxHvQoRWy679rID3REsnrv7HTfd6c3+u\\u002f7Mospq3167\\u002fJPhycQAvsvyeihNZSIOy\\u002fH9\\u002fZBuM07L\\u002flLqNh8Ujsv4YLSnd\\u002fXOy\\u002ft5RMAJBv7L\\u002fCX5OfJoLsv4z72J1HlOy\\u002fvWcbofel7L8UKPhiO7fsv+vYnmgXyOy\\u002fLdG5vo\\u002fY7L8J2E67p+jsv2wIMsdh+Oy\\u002fJGM5ML8H7b\\u002fbhvYEwBbtv831WvpiJe2\\u002fLYJWW6Uz7b8s4jkCg0Htv26Mclv2Tu2\\u002fY+wQcfhb7b99cXX+gGjtv1uHeYuGdO2\\u002fNc5rjv5\\u002f7b9hBD+U3YrtvznSVG4Xle2\\u002fEQZVZZ+e7b8KOINwaKftv0t\\u002f\\u002fXBlr+2\\u002fvR89cIm27b+OWhXhx7ztv+ibReIUwu2\\u002fHyyFgWXG7b\\u002fOjbr9r8ntv1ID3Absy+2\\u002fpzvG+RLN7b9VIy8WIM3tv\\u002f+DwqwQzO2\\u002fI0lxQ+TJ7b8S5w6unMbtv+tQhRk+wu2\\u002fGYAwCM+87b+ZdlY+WLbtvzXGLZ7kru2\\u002f7xp384Cm7b88gFCvO53tvwATlJUkk+2\\u002fBGm\\u002fXUyI7b95UARKxHztvwKQtbedcO2\\u002fVTK6rOlj7b8GpgdmuFbtv3ziT+sYSe2\\u002fruQPrBg77b++ZfkpwyztvwpEULQhHu2\\u002fK9hCNzsP7b9zDYkhFADtv8ipt2Gu8Oy\\u002fevq8ewnh7L9cFfW1ItHsvxU3Olz1wOy\\u002fP1VWFnuw7L9aglJOrJ\\u002fsvxpXW6KAjuy\\u002fke1ZXe987L\\u002fX0\\u002f\\u002fw72rsv+f032t6WOy\\u002fcy1K5odF7L9eTfvgEjLsv+GiTJEXHuy\\u002fYadeF5QJ7L+\\u002f5bibiPTrv4gT+lL33uu\\u002foQBpZ+TI678DiXLJVbLrv+CeUulSm+u\\u002f844\\u002fXeSD67+Dj2B4E2zrv18Dl9fpU+u\\u002ffZii6XA76784hWR4sSLrv1wG+jizCeu\\u002fSOgRaHzw6r9EE0h3Edfqv6IIfM90veq\\u002fX3cOq6aj6r9tt8MJpYnqvxRIxL5rb+q\\u002feNvpl\\u002fRU6r9P6kecNzrqv5ipul4rH+q\\u002fk6NNYMUD6r\\u002fOEYl9+ufpv5iLNGG\\u002fy+m\\u002fvVrl9giv6b9hyMHXzJHpv8\\u002fuP6wBdOm\\u002f9iNJfp9V6b9HQwr4nzbpv2EZyYz+Fum\\u002fRnRJirj26L+GeZASzdXov7B2Gf88tOi\\u002f9uvCrwqS6L+kc8zIOW\\u002fov2KDH+TOS+i\\u002f7I\\u002fBOs8n6L+AzKxLQAPov0hWYIUn3ue\\u002f6uY\\u002f94m457+TKVkPbJLnv92GYGjRa+e\\u002fM2a7qrxE578DVEiCLx3nvyJvVqkq9ea\\u002fUbT2B67M5r94iJXluKPmv8YfqylKeua\\u002fUIdep2BQ5r8URz9v+yXmv2LDxyEa++W\\u002fMOw1Pb3P5b+xZHNh5qPlv5ivQIWYd+W\\u002fIUSaGNhK5b8IylARqx3lvwOKAeAY8OS\\u002fnOLwTCrC5L9\\u002fwKs96ZPkv80Vs2VgZeS\\u002fTHy55Zo25L\\u002ffBxXeowfkv4lj5fmF2OO\\u002fKjoD+Uqp47+9DBA\\u002f+3njv3G5522dSuO\\u002f5ZxGETYb47+3trRgx+viv8iSuBtRvOK\\u002fdyUJg9CM4r\\u002fcG\\u002f1vQF3ivwDl44mZLeK\\u002f4C9el9L94b\\u002fKmkbo4M3hv\\u002fMdXdO4neG\\u002fA93DQU5t4b+TNYNBlTzhv9ELypeCC+G\\u002fK\\u002fV+Swza4L+KZfogKqjgv5aRZwDWdeC\\u002fsjhKQQxD4L+A5vbWyw\\u002fgv\\u002f8OsrYsuN+\\u002fjLc07t9P37+zqBZQvubev81459DYfN6\\u002fKjk9d0MS3r9pEtlKFKfdv+3TzydiO92\\u002fkjxchUPP3L+8+eNAzWLcv74dwX0R9tu\\u002fJliMqR6J27\\u002f8dviy\\u002fhvbv+Hb4H62rtq\\u002fgGsYpEVB2r8e1fNyptPZv9jxpknOZdm\\u002f8CiMMq732L84XYPFM4nYv3Vl+EFKGti\\u002fhsAA1Nuq179HeYj00jrXv+go2tIbyta\\u002fhsQGtaVY1r90ytw8ZObVv6yEPIBQc9W\\u002fm9Oc5Wn\\u002f1L\\u002frnGm4torUv42+Z2xEFdS\\u002fMCJOiyef07+Y7BRMeyjTvyvJ4tdgsdK\\u002f11HDRP450r8J+TdSfcLRv5ZNCvcJS9G\\u002fZVpd0tDT0L9HC7CT\\u002fVzQv+6uddxyzc+\\u002f1zCGV1Pizr82uU7j3PjNv19FMJFDEc2\\u002fMP+F6K0rzL8UE6RINEjLv4EGbgfhZsq\\u002f\\u002fLwBTbGHyb9iKF6jlqrIv5BHrSd5z8e\\u002fKstoQjr2xr\\u002fJ+l3Etx7Gv9fM\\u002f0DPSMW\\u002f9vvIemF0xL+Ok960VaHDv7Otxr2cz8K\\u002fTVrbiTP\\u002fwb\\u002f4XQc5JTDBvwtWF2qMYsC\\u002f9qpXjCctv78UpHRw65i9vzlhLZ32CLy\\u002ff71wnfR9ur91Fagapfi4v2a280vVebe\\u002fM0J6algCtr8LxjZ9\\u002f5K0v1nQLteQLLO\\u002f9OIop7\\u002fPsb9hN6j3I32wv6utRPJmaq6\\u002f3S6nznbwq7\\u002fLj3mbt4ypv6Fko74IP6e\\u002fTmoABuYGpb885MRFaOOivwPeOW9J06C\\u002favFl1tepnb8fyNu9ycyZvwZeF8QRC5a\\u002fOZ8SJfVfkr+m9eCE6YyNvzZ+J5zbcoa\\u002fO3Vrj+jOfr\\u002frqOn3O8FwvyhgNbMZS0W\\u002fszuXkGYVZz8zJ459j+t5P8CXefj7Q4Q\\u002fzBNWDmi2iz\\u002fmgoxDQ6mRP2T\\u002f7slvjpU\\u002fvwSGuIuMmT94li9jAqWdPz8e0kpz7KA\\u002fa1GmbYEUoz8pJBhY9UqlPxdGDb8FkKc\\u002fKwkYLN7jqT\\u002fPt1fCpUasP6FLWIeEuK4\\u002f2e18c9OcsD8I4o6jH+WxP1EXvs9CNbM\\u002fR5TslFqNtD8RpIsuhO21PxoBXcDZVbc\\u002fvptqHm\\u002fGuD+vJHtNTj+6P6sAMvtzwLs\\u002fiPtQLsxJvT+fcCltL9u+PyFuKkkwOsA\\u002fbepOv4UKwT9eLo1lYt7BP6xFPkiFtcI\\u002f7jCoJKOPwz8GXYjiZ2zEP+ETRol4S8U\\u002fE2rpnHUsxj9gwM7I\\u002fQ7HP2aMO7mw8sc\\u002frJS6ATLXyD83zarsK7zJP29YyxBSoco\\u002feP7Gi2OGyz903LbELGvMP9cgFZ+IT80\\u002f\\u002fXheDWEzzj8SpFP6rhbPP68LCIh5+c8\\u002f4mohVupt0D9TNeCc797QP2fQmDbgT9E\\u002fSfmFjdLA0T9u3QRQ3jHSP0LPrdwao9I\\u002fus5ttZ0U0z+Stn4MeYbTP5Xh4ny6+NM\\u002fnjzx\\u002fWlr1D\\u002f47KIeid7UPzey2JESUtU\\u002fmsPgEPrF1T95ZFiVLDrWP2BITOeQrtY\\u002fUslteAgj1z+DU4SBcJfXPyOLIFSjC9g\\u002ft6Qo0Hl\\u002f2D9d+DjrzPLYP9QSHDd3Zdk\\u002fO\\u002fvRVFbX2T9inrpCTEjaP2Zqa3ZAuNo\\u002f8WpptSAn2z8i0Euj4ZTbP3Nsg\\u002f9+Adw\\u002fsg76kPts3D+Dp73BYNfcPzbqw\\u002fC9QN0\\u002foRdTgyep3T90XpjCtRDeP+1aR5SDd94\\u002fWTStHq3d3j\\u002f5TVtpTkPfP+P9aguCqN8\\u002fh\\u002fqw+68G4D8Eqn45\\u002fjjgP5KJXKMza+A\\u002fzQn2llWd4D+jknfGZs\\u002fgP2qulTdnAeE\\u002fWJakZVQz4T9dTB6EKWXhP0vZX93fluE\\u002fVGENSG\\u002fI4T+J4ICszvnhP6PK9JL0KuI\\u002f4gPKstdb4j9gUVp7b4ziP7n\\u002fOo+0vOI\\u002fS8+fK6Hs4j\\u002fzkqh2MRzjP8rzvLBjS+M\\u002f3j6fRjh64z8M03zDsajjP0C146PU1uM\\u002fqSwUDKcE5D+Uh49lMDLkP7z1+Oh4X+Q\\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fyVUtWcHt7j\\u002fuMvZNh7LuPxDy6u3Kd+4\\u002fn8xTHoc97j+Ag0EhuQPuP4LiU2Zgyu0\\u002fjysNQH6R7T+4aLqCFVntPyxqzxIqIe0\\u002fNsIgacDp7D9TcaET3bLsPyoqNDmEfOw\\u002fDf67JrlG7D8vg+zqfRHsP9cHcAXT3Os\\u002fvOXfLLeo6z\\u002fLWc4tJ3XrP8qR0uMdQus\\u002fUpc3TJQP6z8Ruq2wgd3qPyFPO+fbq+o\\u002fvGWyo5d66j9xSjDWqEnqP2M8qREDGeo\\u002f7yND9Zno6T\\u002f8hEaTYbjpPz0Cs9BOiOk\\u002fIQcHuVdY6T94M4DCcyjpP\\u002fEv+f+b+Og\\u002fRC2FPsvI6D+T9fMN\\u002fpjoP99RdbQyaeg\\u002fwyWSDmk56D\\u002fPsZhdognoP4xCXQfh2ec\\u002fFrnISiiq5z+37RTte3rnP7jQyOPfSuc\\u002fmB2D\\u002f1cb5z9N8myb5+vmP22rylSRvOY\\u002fMTeYzVaN5j+Lg3d8OF7mP2jAfYs1L+Y\\u002fs3ipxksA5j8eggqad9HlP2FW7x60ouU\\u002fdUjKNvtz5T95VvuxRUXlP\\u002flJRoCLFuU\\u002foX976MPn5D\\u002fy7LzE5bjkP0uDz8DnieQ\\u002fJKYPmMBa5D\\u002fbHuFQZyvkP1uPyXPT++M\\u002fps\\u002fIPP3L4z8Vae3F3ZvjPxY8jSpva+M\\u002fvYnsoqw64z86Z3KYkgnjPzunzLIe2OI\\u002fTL2T3k+m4j8o6xdOJnTiP23OBHWjQeI\\u002fmmJ5\\u002f8kO4j\\u002fPZxTFndvhP2yhTLgjqOE\\u002fJQQ\\u002f0mF04T\\u002fsgvD6XkDhP0li2+0iDOE\\u002fpfCFGrbX4D+OX9aAIaPgPzUf4IhubuA\\u002f5uID1qY54D9iBGwV1ATgP96hYpD\\u002fn98\\u002f34GJE2Y23z8sSCin7MzePzaFeH6iY94\\u002fkermkZT63T9bOEoozZHdP+xl42hTKd0\\u002fD5bU+irB3D8rnse2U1ncP\\u002fopRm\\u002fJ8ds\\u002fXWfJ04OK2z\\u002f0acZxdiPbP7Ur\\u002fNWQvNo\\u002fJ4kRz75V2j9iCTLR6O7ZP30o4Hj0h9k\\u002f8i+2KcUg2T8X11\\u002fEPLnYPyWwy208Udg\\u002foLJ\\u002fYKXo1z821THAWX\\u002fXP3JSU2c9Fdc\\u002ftWQtpjaq1j+5pIbrLj7WP8jyiE8T0dU\\u002f9XfD+tRi1T+q2p9kafPUPz8IZWbKgtQ\\u002fU1bYIfYQ1D8RH5+87p3TP6r5lPO5KdM\\u002fRQJCi2C00j\\u002fbh16k7T3SP9spxfxtxtE\\u002fk5lEJu9N0T+yG169ftTQP2WGGqopWtA\\u002fPFZw6fa9zz9sPBZu+8XOPyJiD2RvzM0\\u002faM9IGlzRzD8Yh0WGxdTLP6K77nqq1so\\u002fUAgwOgXXyT+G5xNazNXIP1zghvHz0sc\\u002fVgLk\\u002fG7Oxj\\u002fYtyvnMMjFPxIkdiIvwMQ\\u002f+tP3uGK2wz+eQuC\\u002fyarCP\\u002foofJZoncE\\u002fV05Q3kqOwD+2O3c4CPu+P6O54e1f1rw\\u002f9wkaGOSuuj9BWvC06oS4P1hIrIzWWLY\\u002f6L+PgBQrtD+Uhqw9GPyxP4fKMPWwmK8\\u002f0wcv25U4qz\\u002fBfFdbwNimP6uBoWb\\u002feaI\\u002fUgR3tRA6nD9fMR1u4YSTPzk2TdOkqoU\\u002f0MSYo6hfYT\\u002fFeMeY39t5v9yKuLoOJ46\\u002fC7RJaBiql79nVL6gph2gv61xs1T\\u002fY6S\\u002f5VdPKJaoqL+Xgap89eusv1Cj2kdUl7C\\u002fSHgbw5i4sr8FGfPR\\u002f9m0v8EtuxSz+7a\\u002fkGAsJcodub9CgCJQR0C7v6098zgVY72\\u002ff+KNhgWGv78CzEFXaNTAv0BvfHKL5cG\\u002fKGd+FTH2wr9DHcGzFAbEv+54bzXqFMW\\u002fENrvWGAixr8MFllaIy7Hv8qcxsPfN8i\\u002fKsWzR0U\\u002fyb9J7i6GCUTKv9KN1J7qRcu\\u002fFp0HdLFEzL+srqWHM0DNv+D+Tl5UOM6\\u002fqpwGXAYtz79YjJGJJQ\\u002fQv97eeoIZhtC\\u002fhgzybG770L\\u002fWWE8OOm\\u002fRv+3ir8SX4dG\\u002fa5Q3g6dS0r\\u002fmvC2vjMLSv35yJetsMdO\\u002f\\u002fLGy3W6f07+dVtQAuQzUv0tMQoZwedS\\u002fVOZHW7jl1L+0DdRUsFHVvzC9EYp0vdW\\u002fXKJM4Rwp1r8meUPQvJTWv2i8d05jANe\\u002fH66q9Rps178HCKlK6tfXv5c04ibUQ9i\\u002fc58gOtiv2L+G+Rmb8xvZvw3je10hiNm\\u002flgCPJFv02b87SXyqmWDav3jXmzXVzNq\\u002fgqfh9gU527+7T19OJKXbvwxay\\u002fQoEdy\\u002fBVDwCg193L9T0LARyujcvzUY2M5ZVN2\\u002f5bEgJLa\\u002f3b\\u002f2h6Te2Crevx0vQIW7ld6\\u002fhKRTLFcA37+YJ7lUpGrfv2lJ0tqa1N+\\u002f94qe\\u002fBgf4L8o5JowsFPgv8uCezQOiOC\\u002fw8JXJy684L\\u002fgnH5GC\\u002fDgvy+DMx6hI+G\\u002fBNEPvutW4b9DOcXt54nhv+Vmyl6TvOG\\u002finmB1+zu4b9gpKhU9CDiv6HdXB6rUuK\\u002fGLqezhOE4r\\u002fGqRhIMrXiv4u6z5wL5uK\\u002ffeFe5aUW479crFEKCEfjv8EZF4I5d+O\\u002fW\\u002fDJBkKn47\\u002fjoaRHKdfjv\\u002fdaWZr2BuS\\u002fcCassLA25L8VT5FWXWbkv4OJtTwBluS\\u002fYtO70p\\u002fF5L8g9q0zO\\u002fXkv4gVIybUJOW\\u002fQT+JMGpU5b\\u002fOD9vA+4Plv3Pf6WWGs+W\\u002fMkhYFwfj5b8OMniIehLmv9koiYHdQea\\u002feC9bOi1x5r\\u002fl5yexZ6Dmv3k4jPiLz+a\\u002f8ujvd5r+5r9YEFMalS3nvwCHYmh\\u002fXOe\\u002f\\u002fBPRi16L578TxTM7Obrnv1N6844X6ee\\u002f8mU5wQIY6L\\u002fq7\\u002fzbBEfov0CQdFkodui\\u002fYP8PvHel6L8RdsIj\\u002fdTov9gBtebBBOm\\u002ficN0M8406b\\u002fMdFXCKGXpv\\u002fTDEJvWlem\\u002ff7Cu8trG6b\\u002fQJYYkN\\u002fjpv4qLt8fqKeq\\u002fHcX34PNb6r8xGO4uT47qv9mA4I34wOq\\u002fcbIFbuvz6r8djKZWIyfrv\\u002fivU2+cWuu\\u002fWz\\u002flB1SO6797FcwXScLrvy7fca189uu\\u002f02v\\u002fRvIq7L+He9gOsF\\u002fsv1rlZve+lOy\\u002f319csyrK7L\\u002fqxU6JAQDtv4\\u002fQZwNUNu2\\u002fyqa2fTRt7b8bm26XtqTtv3Yn64zu3O2\\u002fe\\u002f6XgfAV7r+Pl8rBz0\\u002fuvyX3IgWeiu6\\u002fq+YiumrG7r+HSlJjQgPvv2y8fw0uQe+\\u002fzN5+5TKA77\\u002fwWUDyUcDvv0KqKvvDAPC\\u002fRUf8vOYh8L\\u002fZ71V+i0Pwv7JzuqWqZfC\\u002f1zdx+zqI8L8fhi\\u002fxMavwv7LmgfKDzvC\\u002fqR2ZuSTy8L8weuKjBxbxv7gF1QEgOvG\\u002fLYGdXWFe8b+Rc8+0v4Lxv1wS9KEvp\\u002fG\\u002f8Nyvc6bL8b9dLzowGvDxv4+5+YSBFPK\\u002fPD83o9M48r9dUO4LCF3yv9sDw00WgfK\\u002f51r+uPWk8r+rwRwOncjyv9xk6SsC7PK\\u002f3flOwhkP87\\u002fej+8O1zHzvzgBOagrVPO\\u002fcyEOWwd287\\u002fGukQeWJfzv67ULx4KuPO\\u002fezhB4QfY87\\u002fGX4uFOvfzv6\\u002fYpRWKFfS\\u002fOyc68t0y9L+EWl5MHU\\u002f0v2Pm66svavS\\u002ff+FBfP2D9L9TAmSZcJz0v5\\u002fsMtd0s\\u002fS\\u002frV+SfPjI9L8IpLas7Nz0v2F1gLlF7\\u002fS\\u002fpTG+Wvv\\u002f9L+koU\\u002fHCA\\u002f1v+7Fea5sHPW\\u002fiRMiESko9b+Dehv8QjL1v7PZGSbCOvW\\u002fd+EwdbBB9b+AuOlwGUf1vzvC6KYJS\\u002fW\\u002fHhrHCI5N9b+lSCFKs071v9Wd6UWFTvW\\u002fvoDHcQ5N9b++z7hlV0r1v0DNTX1mRvW\\u002fQxa9lj9B9b+\\u002fxcDy4zr1vwB3vzZSM\\u002fW\\u002fEihEkYYq9b9Gnkj\\u002feiD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dQ\\u002fX0tXnbud1D8yTLxpqHjUPx0J9Ml6TtQ\\u002f7QfrMCUf1D84VXWLoOrTP1N1SEDrsNM\\u002fcsUXCAhy0z9\\u002fzbuu\\u002fC3TP1Bmhs\\u002fQ5NI\\u002fhn83n4yW0j9L62nVN0PSP0fYycXY6tE\\u002fJR8It3ON0T9xx2GCCivRPwJo34Kcw9A\\u002fhn5R1yZX0D82OHHrScvPP4+K4RQj3s4\\u002fmayrMs\\u002fmzT9TycCmR+XMPz8yQCCM2cs\\u002fqP9GsKXDyj9FktzXqaPJP9UnV2W9ecg\\u002fsH+3+BZGxz9g7KIJAQnGPwoCsU7bwsQ\\u002fNS5+bBt0wz9TPhLbTB3CP\\u002fttSvkPv8A\\u002fPB9bnzC0vj9Wh9IbVN67P5vPca8t\\u002frg\\u002fsDZZ\\u002fXMVtj8824ab6CWzP79mYCNPMbA\\u002faZN+Mshyqj\\u002fa+eUYqH+kP6XR\\u002fEHNGJ0\\u002fFHPRrNo3kT86gOmc1IZ1P90UGeE7lHm\\u002fA1y4tZAYkr8q+jropbWdv\\u002fw4tn\\u002frnKS\\u002fA7+TnqlRqr94h6Hwbvivv2SXmEVtyLK\\u002fD3vr7VyNtb\\u002f6mQjR+0q4v6znieBEAbu\\u002fusvKXC+wvb\\u002ftNjTo0ivAvy\\u002fbcNm+e8G\\u002f9+YQCrjHwr\\u002fIN9PTiQ\\u002fEvza9fDvsUsW\\u002fjwqDuIKRxr98E5\\u002f728rHv1W0vLly\\u002fsi\\u002fWZx4da8ryr9HB18261HLv0gr4BJzcMy\\u002fKtDnaIyGzb9gCJqZeZPOv\\u002f0eOhd\\u002fls+\\u002f6hB3SHRH0L9\\u002fioUDB77Qv09x8UmsLtG\\u002f6blMXCOZ0b\\u002fj\\u002f5EBOP3Rv6Vk\\u002f\\u002fTDWtK\\u002fvimA4a+x0r8G3Eni8wHTv\\u002f3VjIWXS9O\\u002fMoBfU7GO07\\u002fSTiPgZcvTv9FgUHbmAdS\\u002fodekZ28y1L+gjPsYRl3Uv2S3aN62gtS\\u002fSNmTvhKj1L8KmpI0rb7Uv0GNygba1dS\\u002f1MOmR+vo1L9mq1OSL\\u002fjUv88gXJLwA9W\\u002fxPIZ4XEM1b9kbKQ\\u002f8BHVvwtVdi+hFNW\\u002fEGKg57IU1b\\u002fg0DmgTBLVv7LpDiqPDdW\\u002fryh2xZUG1b9v+dkod\\u002f3UvyW9\\u002faVG8tS\\u002fzuJdXBXl1L\\u002fzrUVn89XUv7VfSPfwxNS\\u002fCACjSB+y1L\\u002fKD4tqkZ3Uv\\u002fqAcM5ch9S\\u002fJ2iUmZlv1L+SiNy2YlbUvySpT6rVO9S\\u002f41b6KhIg1L+NoPWKOQPUv3o0xfdt5dO\\u002fThUjn9HG078FSoDFhafTv\\u002ftT+Nuph9O\\u002fDWAvo1pn078pPZlnsUbTv1JMCmLDJdO\\u002fivhMRaEE078rcuX+VuPSv\\u002ffTVq7rwdK\\u002fQsJH02Gg0r+CBfmvt37Sv29XxdrnXNK\\u002fzRL69uk60r\\u002fhLWOLsxjSvynaees49tG\\u002fLbJUJ27T0b9\\u002flkr2R7DRv1axrZC8jNG\\u002fsZYRbsRo0b9BVSXfWkTRv3XyMHx+H9G\\u002fXSSgYzH60L9uMpFGedTQv3Gn+0NfrtC\\u002fepyLle+H0L\\u002f4JKITOWHQv6tm65dMOtC\\u002ftaeNRzwT0L8zcw2eNdjPv4SbpDT1ic+\\u002fQ3DOJ9o7z78y7PzoA+7Ov5757liNoM6\\u002fvmI23ItTzr9mUiK8DgfOvwc3Wtoeu82\\u002fsfvWuL5vzb+uYEjT6iTNv2Y5kUKa2sy\\u002fDucan7+QzL8Z14ITSkfMv5CUvo4m\\u002fsu\\u002fUKNiA0G1y79O9U6hhWzLv6MzpPfhI8u\\u002fNvCD7kXbyr+yQ6KKpJLKv2h39G\\u002f0Scq\\u002fgjGfHDAByr+s2HjZVbjJvyeqx2Fnb8m\\u002fGRoaSGkmyb\\u002fEKPkhYt3Iv4ftiYdZlMi\\u002fTO7P9lZLyL9mQAGsYALIv2UWKIF6uce\\u002fgIoY56Rwx791+I8I3CfHv3ZBNSYX38a\\u002f1HdDN0iWxr9uJxLXW03Gv8Pyn4M5BMa\\u002fT\\u002ffzLMS6xb8VH9IQ23DFv6lGGNpaJsW\\u002fIU1d9x7bxL8WmEkZA4\\u002fEv1ALxMbkQcS\\u002fDHSW86Tzw7+JtKyFKaTDv8qakbVeU8O\\u002fTEBFODgBw7\\u002fLc+gisq3Cv8PF4HvRWMK\\u002fzRrhcKQCwr\\u002f1BnstQqvBv1IjUFLKUsG\\u002fRORvEWT5wL\\u002fSQ674PJ\\u002fAv8rtlHaHRMC\\u002fw5CYU\\u002fLSv79A5Kgakhy\\u002fv\\u002fNyBStbZr6\\u002fwAXIpLWwvb+vuLNXAfy8v3ZAGZWSSLy\\u002fMVllfa+Wu7\\u002fyVZ\\u002fljea6v5EQKepROLq\\u002fNPI6PA2Mub\\u002fMukAvv+G4v8i0zIJVObi\\u002fwvG03a2St79u\\u002fXjnl+22v6ONm+bXSba\\u002fgAVyxSmntb9CSEBbRAW1v2uWa9XcY7S\\u002friYvHKrCs79A5X8PaCGzv688lXvaf7K\\u002f0f+rqM\\u002fdsb9scdBuIjuxv4mDg7y7l7C\\u002fDfwpCyfnr7+AT3ksYp2uvyRKC5pVUq2\\u002fCiFpiEoGrL9Pol7xo7mqv0m8vQHbbKm\\u002fq6O+0nogqL\\u002f8HAWfG9Wmv\\u002fVrTaVdi6W\\u002fazRr6uNDpL\\u002fvvcsJT\\u002f+ivwvXXj84vqG\\u002fLHUF0CyBoL\\u002fogLDdU5GevzlrbGwyKpy\\u002fsykPiJvNmb\\u002fsa84CBHyXv\\u002fuVpC6sNZW\\u002fJkvAGJ76kr+IzxsGrcqQvw215jPsSo2\\u002fL+sDFsQUib\\u002fWAwmWT\\u002fGEv7o5Wgmg3oC\\u002f37rYWeW0eb8RxkrQdMRxv0Zrj9+qzGO\\u002fa0gAOjqkQL8HxKjfCt1WP9OkO2oOB2s\\u002fWxWGYNlWdT83rlSMwjd9PxpvyllRloI\\u002fK2LDJMidhj\\u002fGL1zkG7WKPzlPcszd3o4\\u002fkVHhQKWOkT9NDYbDHbmTPz3T0gqN75U\\u002fp+Oi8WkymD9jMEIt6YGaPzxqcmT63Zw\\u002fOdaO\\u002fUZGnz+llJprGd2gPzpa\\u002f4hvHKI\\u002fewCqgJdgoz9ufd6i56ikPyIOfn6f9KU\\u002f3sNZbu1Cpz9SsDD69JKoP7eEMd7V46k\\u002favFTgbM0qz+IkASavISsP4nsAboy060\\u002fOD5pdnEfrz+qNRhwejSwP88H9IGv17A\\u002fCXnZFj55sT8rvOnbIhmyP4UAYZtxt7I\\u002fBsOB8lRUsz9T5CwhDfCzPxxkV\\u002fbtirQ\\u002f4NY95lsltT\\u002ffNL9gyL+1PzcDOYetWrY\\u002fm20laYn2tj+WnDD12JO3P9RqI9ESM7g\\u002frZqXTaLUuD9l+Lyq4ni5P2XSceEaILo\\u002fF0GaH3rKuj+lyhsgFXi7P\\u002ft1bH7kKLw\\u002f\\u002fAOVG8TcvD\\u002f26kqfc5O9P52q3ROYTL4\\u002f4dikj74Hvz8+CvbSX8S\\u002fP04re1vyQMA\\u002f8zQuoNWfwD8T+u8Qhv7AP6xSfzqwXME\\u002f6hSYtgO6wT+nPN\\u002fkNRbCP+dpoWYEccI\\u002f+PKSQzfKwj8PfZuhoiHDP6nzkP4nd8M\\u002fyc1l4LbKwz9G8XH2TBzEP2+e2qz1a8Q\\u002fReJnOcm5xD9t+wAv6wXFP2IVTaqIUMU\\u002fKddSLtaZxT+RrDJLDeLFP9JXFitqKcY\\u002fGeoUIilwxj\\u002fJXw5dhLbGP2PDcMmx\\u002fMY\\u002fCLeNTOFCxz9M8s1cO4nHP9BL4Qngz8c\\u002fAZJIe+YWyD+uNI3mXF7IP4V2d\\u002fhIpsg\\u002fwvfjpqjuyD\\u002fO58VbczfJPxD0rGWbgMk\\u002fQIsClw\\u002fKyT\\u002fqkEj7vBPKP3swC4mQXco\\u002f8sj1t3inyj8K1oPkZvHKPyUR\\u002fW1QO8s\\u002fj+iify+Fyz+mp\\u002fJ6A8\\u002fLPzSqXv7QGMw\\u002fP1mWiaFizD+zLhLGgqzMPyaA0X+F9sw\\u002fBXrDXrxAzT\\u002f5q\\u002fR0OovNP0VMHLgR1s0\\u002fOoFkflEhzj80ITUWBW3OP54cYI8yuc4\\u002fFwNkydkFzz9qB6\\u002fW81LPP7thFsByoM8\\u002fftdSrkHuzz+Sk8a8Ih7QP27XlcwuRdA\\u002fjJw7tDJs0D9yHM\\u002fXGpPQPy4CMi7TudA\\u002f5h5RKUjg0D\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ImNm+u\\u002fMJhlv9m267\\u002fTOGc2W9Hrv+UPrOUG6+u\\u002fmeU37dED7L92wv30sRvsvxAxgZKdMuy\\u002fnJwksYxI7L\\u002fziL\\u002f4eF3sv22G0S1ecey\\u002fRS2VhjqE7L8VPF3wDpbsvx7CBkHfpuy\\u002f6NTkULK27L\\u002fVnVj6kcXsv0SuRP2K0+y\\u002fWwGrxazg7L88G\\u002f4VCe3sv3\\u002fE8Zaz+Oy\\u002fTC7YT8ED7b\\u002fIksULSA7tvwqMv7BdGO2\\u002fgEMYjxci7b\\u002fD0LOviSvtv4WSTSjGNO2\\u002feuLcfNw97b\\u002f2kfAU2Ubtv+ExP8vET+2\\u002fpTnDnKRY7b9rdo17eWHtv9YnEUhAau2\\u002fn14a8vFy7b\\u002fCsvHAg3vtv6gve8Dng+2\\u002fHlF1Tw2M7b+dF3TJ4ZPtv52h3kVRm+2\\u002f6o4kZEei7b+PLaIcsKjtv1ABSo14ru2\\u002fbG0uuY+z7b9OZ3Ey57ftv9iS76Zzu+2\\u002frK8oSS2+7b8l82QQEMDtvz7c1cwbwe2\\u002f0uVdDlTB7b+IUq\\u002fev8Dtv\\u002fKwd1Fpv+2\\u002fir0771y97b\\u002fKs0YBqbrtv7F+i8Zct+2\\u002fLvJ6moez7b\\u002fXepEXOK\\u002ftv\\u002flArj97qu2\\u002fk24gtFul7b+cbb0G4Z\\u002ftvwNPSiwPmu2\\u002fpzEWF+aT7b9jU+N+YY3tv4F4PNl4hu2\\u002firwrgx9\\u002f7b+1\\u002fw8bRXftv\\u002fZCIQfWbu2\\u002fm1MsI7xl7b8viUOO31vtv8yuqo8nUe2\\u002faFIxiXtF7b+zxo3swzjtv\\u002fX1IynrKu2\\u002frMf3h94b7b8lglfsjgvtvxy8BXHx+ey\\u002fBlxF2\\u002f\\u002fm7L+9dRHfuNLsv8mb5zEgvey\\u002fYu3Daz6m7L\\u002f6ASi4II7sv7f9JVvYdOy\\u002fthlWEHpa7L+ewz9LHT\\u002fsv0jbBGLbIuy\\u002fusP2q84F7L91hCCeEejrvwBhu++9yeu\\u002fzEP2z+uq678JDXw1sYvrv2iOxk4hbOu\\u002fB6mdGExM67+hUzkePizrvw2ecmQADOu\\u002fdNtcf5jr6r8Z5p7PCMvqv3q3DeNQquq\\u002fO8Vz8m2J6r+rrS51W2jqv9BVbcITR+q\\u002fVjNlt5Al6r\\u002fWHtJZzAPqv8IUf27B4em\\u002fUZ5o\\u002fGu\\u002f6b87\\u002fDa2yZzpv4T4RUXaeem\\u002fwE0ec59W6b\\u002fVNRIwHTPpv54FhHdZD+m\\u002fY8EiFFzr6L\\u002fAhwZILsfov0AQ+V3aoui\\u002f\\u002fC1MKmt+6L85XFyC61nov2+0N7JlNei\\u002fDlLX9+IQ6L+\\u002fZOwKa+znv+RYercDyOe\\u002fR4xgkLCj578K15+9cn\\u002fnv\\u002fW7pehIW+e\\u002fG0RNRy8357+lPKrEHxPnvzRNLEUS7+a\\u002fvVZIAv3K5r\\u002fDcrH41Kbmv1AfTmOOgua\\u002f2O+LPB1e5r\\u002fgP4K\\u002fdTnmv1LUe+KMFOa\\u002fIEH8xFjv5b9P+h8M0cnlv+jeQCnvo+W\\u002f4TcFiK595b90nlqiDFflvxKtRfoIMOW\\u002foiLP+qQI5b+3UpzC4+Dkv35M2tvJuOS\\u002fEZwC5lyQ5L9r\\u002fJo2o2fkv8i8X3ajPuS\\u002fClpIQGQV5L+imojH6+vjv8ZXHIk\\u002fwuO\\u002fAN6aDGSY47+8kA23XG7jvy7PY7ErROO\\u002ftift4tEZ47\\u002fpahT\\u002fTu\\u002fivxuBe6ShxOK\\u002fhOqgiseZ4r\\u002fcNXK6vW7iv5IVpc2AQ+K\\u002fFw9qMA0Y4r9qFgthX+zhvwuoTCl0wOG\\u002fBwnszUiU4b95dFAx22fhv1s7a+cpO+G\\u002fVNXFOTQO4b\\u002fuoMwb+uDgv5v4cBB8s+C\\u002flAI1A7uF4L+eM4gXuFfgv6f8\\u002f3F0KeC\\u002fqBXF\\u002fuH1378RvUZ7XJjfv29DsBVYOt+\\u002fmeOh+9Lb3r\\u002fnL8+WyXzevzbNm3U2Hd6\\u002fzYFhVBK93b\\u002fjefNHVFzdv98Gygfy+ty\\u002fe6cpVOCY3L8izLByEzbcvyb1H7p\\u002f0tu\\u002f2GwBJRpu27\\u002fYFCXi2Ajbv8BWvtmzotq\\u002fdihbHqU72r\\u002f1qN9BqdPZv4VXJoi\\u002fatm\\u002f5cPF8ukA2b+dma8jLZbYv72mwhaQKti\\u002fRvTetBu+17+ftWtF2lDXv9C4ZsXW4ta\\u002f5LTiLBx01r\\u002f3dzCttATWv6f6t\\u002fKolNW\\u002fYsmydf8j1b\\u002f1xILku7LUvz6+SbHeQNS\\u002f4uK7ymTO07\\u002fM6fyFR1vTvxSXyrx859K\\u002fdfBoIPdy0r8J9tu+pv3Rv57uILV5h9G\\u002f7zt3Bl0Q0b86\\u002fISOPZjQvza5YAIJH9C\\u002fmbzF5l1Jz78251aMQ1LOv7EgGiGvWM2\\u002fkSobpJVczL+pPLz49V3Lv8kg9IbZXMq\\u002fU+HYX1RZyb84KM3hhFPIvxpHY96SS8e\\u002fvtXPSq5Bxr\\u002fyfDmKDTbFv5JL+WbrKMS\\u002f8gik1IQaw78mrDKYFgvCvwJIoPXa+sC\\u002f0OVmBQ\\u002fUv7+k4bZ6lrG9v7pWLwKajru\\u002f1RXV5FRrub\\u002f1sSnj7ke3v4DoGD58JLW\\u002fBgZP6f4As78MZFzdaN2wvy9UYOE+c62\\u002fDFo8IP8qqb8\\u002fAi1GxeGkv2rzQbtHl6C\\u002fONOU7JaWmL+Y9ZvLuvaPv6koIbqWc32\\u002fnsF4819HVD+BZKIU7c+DP1EAd\\u002flujJI\\u002fx7WbdUAwmz+O8j3SreihPyY8BrajNqY\\u002fsinydJaAqj8qOtsS9MSuP9OlyjEHgbE\\u002fGHxIeBObsz+Rj2juva+1P3C4JJYqvrc\\u002f3tN15ojFuT\\u002fdVYDgGcW7Pyqn+Gk1vL0\\u002fwRf5qU6qvz894tSYe8fAPxhNlWTwtME\\u002fD9g15W6dwj8qkhYD8IDDP8FDJyF7X8Q\\u002fImt4OSQ5xT+T82FwCQ7GPz8RpT5Q3sY\\u002fZ4GUWCKqxz8V5RN8qnHIP5RM7lARNck\\u002fAXmChnr0yT+4\\u002fhFXArDKP3rvPJS7Z8s\\u002fvZKWWa4bzD85yRl618vMPw1L+rMoeM0\\u002fI2pXrIkgzj+cjiuq2cTOPxJm+v3xZM8\\u002fXWdafVQA0D+lmECu6kvQP3ER+\\u002fkoldA\\u002fsQ0WtADc0D\\u002fZrQjwaCDRP6B93jFgYtE\\u002f9lKN5O2h0T+wEwmCI9\\u002fRPwakhVwdGtI\\u002fp\\u002fuG\\u002fAJT0j\\u002fq9iwMB4rSP18VWc1mv9I\\u002fpkqgHWnz0j\\u002fyDzEQXSbTP75briqYWNM\\u002fXyFAVnSK0z\\u002fVN46ZTbzTP1vj2bJ\\u002f7tM\\u002fUK7XqmMh1D\\u002fyJjd5TVXUPygF79KJitQ\\u002f87l2OFzB1D8sayxX\\u002ffnUP3mwZc2ZNNU\\u002fNsdBXFFx1T9em3yNNrDVP8vDds5O8dU\\u002ffOOk\\u002fJI01j94y9xa8HnWP1\\u002fdt+JJwdY\\u002fPx2x4XkK1z+6TOnOU1XXPztZsESmodc\\u002fNA0pCD3v1z\\u002fNHJUJ4z3YP9RNCklkjdg\\u002fw6VnjY\\u002fd2D+ggzreNy7ZP8rutbQ1f9k\\u002f8Tm622fQ2T+UoPz6syHaPzm6cM0Gc9o\\u002fVCn1BlTE2j\\u002fwlMLwlRXbP1QPD8fMZts\\u002fgU2g5P232z8WHI7KMgncPzDCMBN4Wtw\\u002fQ\\u002fYjX9yr3D9fBnFKb\\u002f3cPzcNbnZAT90\\u002f6VfJsl6h3T+ED7NN1\\u002fPdP4MFTJC1Rt4\\u002fEMCZaQKa3j8MCWhHxO3eP\\u002fFt3xn\\u002fQd8\\u002f5tJRfLSW3z+EoO\\u002f74+vfP7w367nFIOA\\u002fM\\u002fGgutNL4D8N4k3ZGXfgPwO4WbKVouA\\u002fyqs70UTO4D8v6YfSJPrgP6X\\u002fCXozJuE\\u002fy8zPu25S4T9NLhi41H7hP8zXH6tjq+E\\u002fRFK00hnY4T8wrzpM9QTiP7HraO7zMeI\\u002fQdZFIhNf4j\\u002f+4Ra\\u002fT4ziPxItteylueI\\u002f4K1WDxHn4j8iczW\\u002fixTjP7zqr80PQuM\\u002fir6PWJZv4z\\u002fHVSjrF53jP8m2AqyMyuM\\u002fEo3ilOz34z8wpCayLyXkP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KuPQ\\u002f2ExC4dKm9D8US6PIqJP0PyCFiLuLfvQ\\u002fO+8NWn9n9D\\u002fEnsIRi070P2ResgS6M\\u002fQ\\u002fv93y2hoX9D+ek2SBv\\u002fjzP6Z26ti82PM\\u002fcwTBWSq38z9dXdGuIZTzP6Ti30y+b\\u002fM\\u002fp7NICR1K8z9GEqSzWyPzP4W1L7WY+\\u002fI\\u002fusxAuPLS8j\\u002fIoFZZiKnyP1bLseJ3f\\u002fI\\u002fFX+iEt9U8j9Jfxvs2inyPxdOiJCH\\u002fvE\\u002fsW5zIQDT8T9VFTuoXqfxP2vG6gG8e\\u002fE\\u002f3VZQzS9Q8T+7K4lZ0CTxP5\\u002fbjZOy+fA\\u002fpLWo8enO8D\\u002fMuD9ciKTwP6Rs4xOeevA\\u002fLEsglTlR8D9lRBZ7ZyjwP0j7T2IyAPA\\u002fqIZim0Wx7z+9PyYffmPvP\\u002f\\u002fje3IWF+8\\u002fCVjLJRLM7j\\u002fJai48cILuP5wIV0grOu4\\u002fuQuxoznz7T\\u002fsKsDAja3tP59BZJgWae0\\u002f5lFEMMAl7T+l0Tc3dOPsPz4yM7Maouw\\u002fIIcUu5ph7D+ERsI12yHsP+zob5fD4us\\u002fVVWWlTyk6z\\u002fNnUfKMGbrPyKIAECNKOs\\u002fdFvz30Hr6j+k4PW9Qa7qP\\u002fUEsz6Dceo\\u002faYRtFgA16j+bf28gtfjpPx3AGxGivOk\\u002fkn9gBsmA6T\\u002fW1\\u002fD7LUXpP60uEyrWCek\\u002f2E3sVsfO6D8tlegiB5ToP1C0M1maWeg\\u002fN+INTYQf6D+WmTtMxuXnP4VO0C1frOc\\u002f6b44A0tz5z\\u002fd3L7vgjrnPxSQ3Cj9Aec\\u002fh4urH63J5j87HbHRg5HmP06+Rz1wWeY\\u002fiyYX9F8h5j\\u002fglX7EP+nlP6h7oHH8sOU\\u002fq9jycIN45T+CqN+jwz\\u002flP357IQSuBuU\\u002fHEUhOjbN5D+\\u002fM6QVU5PkP1RphuL+WOQ\\u002fOK\\u002f\\u002flDce5D\\u002fUouvK\\u002fuLjPyUQrqFZp+M\\u002faCNzYlBr4z8wNZ4I7i7jP9eUHqg\\u002f8uI\\u002fNYD\\u002fulO14j8boMpeOXjiPyOpKov\\u002fOuI\\u002fhFmbS7T94T92E9gFZMDhP0cfJNYYg+E\\u002f85x+CdpF4T+thWW8qwjhP\\u002fYICaOOy+A\\u002fTF\\u002fR\\u002fX+O4D\\u002fqLfa6eVHgPwDFusNyFOA\\u002fT2CS476u3z8x\\u002fXJOZDTfP1qBVQS4ud4\\u002fgaEIR5s+3j+V0h\\u002f\\u002f78LdP5mQVF2aRt0\\u002fPNmaaILJ3D8AKGdmlUvcP7HgewzHzNs\\u002fMw8ybhJN2z+wJ3OaeszaP0DEVOMKS9o\\u002fl5NMzNbI2T8jFg+g+UXZP+VRLLOVwtg\\u002fgVoxXNM+2D8eFFCt37rXP6FGKv7qNtc\\u002fl9A8Viez1j+VNXjJxi\\u002fWP2o3zNj5rNU\\u002fd8XO5+0q1T8ADUDXy6nUPx81FNK2KdQ\\u002fdRH+V8uq0z\\u002fPL1qNHi3TPwQD+dS9sNI\\u002fAtHNtK410j8VuSID77vRP3CoylZ1Q9E\\u002fchgGsjHM0D8LgI5dDlbQP4W9LM\\u002fhwc8\\u002fLuYfc3bZzj9wJIJumfLNP7rzF7QGDc0\\u002fIKOueHkozD8Y1h0VrkTLP24mcaJjYco\\u002fiI\\u002fZQ11+yT\\u002fMNQ8XY5vIP5zC7MhCuMc\\u002fbk\\u002f\\u002f0M\\u002fUxj8mT0db4\\u002fDFP3c1P+tbDMU\\u002fpW0+xhwnxD90nlo1DUHDPyw57a8XWsI\\u002ffCre\\u002fyhywT8jUtNvL4nAP1kKBCM0Pr8\\u002fOoWFT7BnvT9IZr55sY67P\\u002fKfKtQUs7k\\u002f+t5ho7bUtz+ghD6TcvO1P\\u002fgjZWIkD7Q\\u002fxrQ71Kgnsj8i1kjV3jywP73+rXZRnaw\\u002fiMZgE9u5qD+v7bBENM+kPwFZcJ5E3aA\\u002fSlhQRgbImT\\u002fLOFiq7saRPxszL6fmboM\\u002fUovEOGueWT8l8ixVE0V6v5wCl0z\\u002fko2\\u002f\\u002f6FpcCAOl78Kq0JoaF6fvxdkH+bD3KO\\u002fkDobN1EPqL+\\u002fJqX4aUasv1vO1dzMQLC\\u002fYy9KmTVgsr+qaB6ZNIG0v+Xpen+Po7a\\u002fqpGIFAzHuL\\u002fXAq\\u002frb+u6v\\u002f9UJtB\\u002fEL2\\u002fW6TWBf81v7+PEyE4163Av0xL7dmlwMG\\u002fe1W8M0jTwr9JKMy1mOXDv9gevD1v98S\\u002foSesBKEIxr8yCXu5ABnHv44BJsteKMi\\u002fVGNk5Ik2yb+LIIOWT0PKvwg6bS59Tsu\\u002faFPmq+BXzL+\\u002f3HHQSV\\u002fNv\\u002fpWXDmLZM6\\u002fGh\\u002f\\u002fdntnz78\\u002fXF0J+zPQv1D1qjrustC\\u002fTOU5UIsw0b9oVM\\u002fXyazRv9WE8gulJ9K\\u002f\\u002f4kM0Buh0r+ADaGHMBnTvyouRsnoj9O\\u002f0+Pk70wF1L8wqZmOZ3nUvywWLc1E7NS\\u002fd012tPFd1b8F0flye87Vv2VBr6LuPda\\u002f2d\\u002f9mFas1r8YlK7JvBnXv8MizUQohte\\u002f\\u002fM9BVp3x178PL19MHVzYv9rHyGimxdi\\u002fh98N\\u002fTMu2b8xRzKyvpXZv7AvQfg8\\u002fNm\\u002f9DIHmaNh2r9kHUtn5sXav7+3ZwL5KNu\\u002fmwwXpc+K2788bp\\u002f1X+vbv28mbM2hSty\\u002fMEJx7o+o3L91GIedKAXdv1KwJBpuYN2\\u002fDjZ47Wa63b9K0b0MHhPev35hx8yiat6\\u002fc5\\u002fQpgjB3r\\u002fbpd\\u002fQZhbfv6o1963Xat+\\u002fQk0tHHi+37\\u002ffCRxUswjgv4ePkVfhMeC\\u002fDZbJu9Va4L8jxx+mn4PgvzjpilBNrOC\\u002fOQftpevU4L8hpwfshf3gvy9ES34lJuG\\u002fkD\\u002fpm9FO4b+15ahKj3fhvzLLDk9hoOG\\u002f8511OUjJ4b89LNSGQvLhv6pmINNMG+K\\u002fSpCTGmJE4r+4wY8GfG3ivygsj0KTluK\\u002fZYtc1Z+\\u002f4r\\u002f309l6mejiv7Hky\\u002fp3EeO\\u002f6Cl7eTM647\\u002fvLHO\\u002fxGLjv0ELPnYli+O\\u002f4+ObWFCz47+NJ2BVQdvjv6o1xqT1AuS\\u002fL0Wr0Gsq5L+Yy6Wwo1Hkv61kZFueeOS\\u002fiF4TD16f5L9vF74S5sXkv7nYt5I67OS\\u002fzjEQemAS5b8ZI\\u002fRKXTjlv4IwpPc2XuW\\u002f3FBdvfOD5b\\u002fL6T0Cmqnlv9sl1zYwz+W\\u002fEE7Eu7z05b\\u002frK1PLRRrmv\\u002fmpBmfRP+a\\u002fRY6LSGVl5r\\u002fmdJjVBovmv9rYJha7sOa\\u002fti16rIbW5r8rn4HObfzmvzWTRUB0Iue\\u002fezw\\u002fT51I57+UdqnO627nv9WsCRVilee\\u002f+7VY+wG857+y4VHezOLnv9xdfqLDCei\\u002fehiSu+Yw6L\\u002fXNZw3NljovzxaaM6xf+i\\u002fgBg59Vin6L9I3sH2Ks\\u002fovxTn+w4n9+i\\u002fpjEjikwf6b+0z9vlmkfpv28HO\\u002fMRcOm\\u002fiEI4+LGY6b9ttuTOe8HpvwAdugBx6um\\u002f5oJb3JMT6r+DYkiE5zzqv0mSQfVvZuq\\u002fDN52AzKQ6r8zrv9NM7rqvw6wmyh65Oq\\u002fcYs7fA0P67+GDFaf9Dnrv7P6iyc3Zeu\\u002fWGSMttyQ67+UKYXE7Lzrv9CuqWpu6eu\\u002fa992MGgW7L\\u002fntlTe30Psv8ESCVjacey\\u002faVIegVug7L9PLu0sZs\\u002fsv60faRv8\\u002fuy\\u002fUXMoAx4v7b8092yoy1\\u002ftvxd3OQAEke2\\u002fo+HMXcXC7b928zeoDfXtv\\u002fgoN5XaJ+6\\u002fB+cQ5ilb7r8oMPai+Y7uv73AT1FIw+6\\u002fGbd8IRX47r+4HNMQYC3vv+lRK\\u002f0pY++\\u002fIZngp3SZ778XlfOmQtDvv2ct66HLA\\u002fC\\u002fIgopJLsf8L\\u002fPQ3Dd8Tvwv2sXWsZxWPC\\u002f1yE6njx18L+xNa64U5LwvywmeMm3r\\u002fC\\u002fJ37hsGjN8L+hBfZKZevwv5\\u002fl0kOrCfG\\u002fIoId8zYo8b9Eh3BAA0fxv3hAMpIJZvG\\u002fZmnZx0GF8b9ZfCpAoqTxvxwId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tI\\u002fSkG645ae0j8WE7\\u002fXjcrSP+ttMbsG9tI\\u002fmOzrqgch0z+BS5+QmUvTP7OckF3HddM\\u002frTa1IZ2f0z\\u002fMQ\\u002fEJJ8nTPwZQtlFw8tM\\u002f31ohNYIb1D8NDfXwYkTUPxUTXt0UbdQ\\u002fGTBXr5WV1D8x8crq3b3UPz3iTI3g5dQ\\u002foiSO9ooN1T8tDKoQxTTVP8N1NLdxW9U\\u002ftHa9WG+B1T+8W27LmKbVPw88o0rGytU\\u002fkw8Ykc7t1T84nIgBiA\\u002fWP3U8mc7JL9Y\\u002fetiUEm1O1j9LigrITWvWPx6YmZVLhtY\\u002fKBA5YUqf1j+RK+yhMrbWP37H\\u002f2nxytY\\u002fund6J3jd1j9j+SwcvO3WP2GAnZK1+9Y\\u002fJ2qt2F4H1z+8IycMsxDXP1mYLcisF9c\\u002fwtCoxEQc1z8DfyV6cB7XPyoVGd0gHtc\\u002f8hkOQ0Eb1z+ZKeSCthXXP+85F19eDdc\\u002ffQ4ARg8C1z\\u002fdL1RwmPPWP0LW\\u002fmHC4dY\\u002fNKjtzE\\u002fM1j+XYtDQ\\u002frLWP2w+SI6KldY\\u002f9NXR\\u002f6xz1j9rNQYHIU3WPx871JmkIdY\\u002fzXAx+frw1T86n5bZ7rrVPzAMe2VUf9U\\u002fNh3wAgs+1T++D3jH\\u002fvbUPx1aI4gpqtQ\\u002f9j3Ld5NX1D+k7bxJU\\u002f\\u002fTP\\u002fOiJtSNodM\\u002frAHgMnU+0z9AEH5wR9bSP6yyzMBMadI\\u002fhTGJXNX30T8delwSN4LRP0q4aKTKCNE\\u002fevMdDOmL0D\\u002fFf1i\\u002f6AvQP6Xl9CM2Es8\\u002fP6R3nJMHzj+ee7s3avjMPwi7s5Yj5cs\\u002frGRlLBDOyj8LC77BZbPJP+h4PAs\\u002flcg\\u002fSnocVJxzxz\\u002f+EbQ3ZU7GP1FuDVdrJcU\\u002f\\u002f9\\u002f57m34wz8kakgqHsfCP6S00AQkkcE\\u002fdb3ojiNWwD9PCaS7hCu+P8z8lulZn7s\\u002fgIiB5zcHuT97INm3sWK2P7YmCoCEsbM\\u002fdgjQeJ7zsD+YgpNvSFKsPxznTFvopKY\\u002fymO4jlDgoD8QjTPQVgyWP94Ajh1XYoQ\\u002ftsxcGwe9XL99EgyelcmLv7Irjf1HE5q\\u002f2Z9s8x8oo78hoOB2HkqpvxDDfw6+a6+\\u002fvrNiU4PEsr9YquSJ\\u002fM61v6GFmMBO07i\\u002fe1GdNIjPu7819tPhxsG+v7WXK44e1MC\\u002fvlkPkJpAwr+yEl\\u002fMiaXDv1N0\\u002fpcsAsW\\u002fSledntFVxr\\u002ftNFrc1Z\\u002fHvxApMk6k38i\\u002fxpATcLUUyr\\u002f54\\u002fefjj7LvzA9l3zBXMy\\u002fZ\\u002fEsVOtuzb+t8Im0tHTOv8vWjinRbc+\\u002fM3Mvmf8s0L8xHDw4hJzQv1iJVAdhBdG\\u002f81ZxrIZn0b8vC7s87MLRv8qZS6aPF9K\\u002fkOYjHHZl0r+I95Z6rKzSv0TuNZpH7dK\\u002fzEmsh2Qn07+VX\\u002fWXKFvTv21u1FHBiNO\\u002fVQxrJ2Sw078Q4RL9TdLTv4kSIH3C7tO\\u002f\\u002fyHHOgsG1L9z6eeodhjUv4+A1etWJtS\\u002ft0w4jwAw1L918MAqyTXUv2dvegEGONS\\u002fc7oQqAo31L\\u002fZfU++JzPUv7Lfc8epLNS\\u002f\\u002fQqzK9gj1L\\u002fCYp5r9BjUv7v26os5DNS\\u002fxoWvvdv907\\u002fdF4pECO7TvzRTbZnl3NO\\u002fpAU4xpPK07+3l8\\u002fzLLfTv58aXiLGotO\\u002fJN+nAXCN07\\u002fo8z7eN3fTv0LyuZcoYNO\\u002fyWQFlEtI07\\u002fQrmqkqS\\u002fTv65K9NFLFtO\\u002fhVJeCDz80r+Mg66YheHSv6Bxxo41xtK\\u002f9C+o11qq0r82JZo4Bo7Sv3KluhlKcdK\\u002fFR3JKDpU0r8uwNXa6jbSv3ugEtVwGdK\\u002fMdoXRuD70b9PX4Q5TN7Rv0Oa+O\\u002fFwNG\\u002fezb5RFyj0b+lAl8rG4bRv91Io0cLadG\\u002fm5mprTFM0b9SfbjFjy\\u002fRv11JPFojE9G\\u002fk2jOzeb20L\\u002fivet20drQv6Pq4BzYvtC\\u002f8PrSj+2i0L+LF4JUA4fQv1RQgVsKa9C\\u002fILEru\\u002fNO0L9yAp9jsTLQvxs3dcQ2FtC\\u002f7mScufLyz7+DYt1e4rjPv8hkaSwyfs+\\u002f6uKg491Cz7+yrvZo5wbPv\\u002fK2Z5BWys6\\u002fnnB8pTiNzr9MtG+2n0\\u002fOv9JatqyhEc6\\u002fGcMmP1fTzb9xv1HL2pTNv4loMyRHVs2\\u002fQ8k4ZLYXzb9oY7jPQNnMv5gFetP7msy\\u002f\\u002fXvhKPlczL8mOuEmRh\\u002fMvyjALETr4cu\\u002fFCZfzOuky7+E4xnHRWjLv2dBqQ3yK8u\\u002foSehieTvyr8i\\u002fEGVDLTKv1IXXnVVeMq\\u002fwAD446Y8yr+29Omi5QDKv41ykA70xMm\\u002flVObqbKIyb\\u002fk\\u002f7qcAEzJv31kuya8Dsm\\u002fGauh+8LQyL\\u002fWgmeT8pHIv2dC0mooUsi\\u002f+NSCOkIRyL9+NZcpHs\\u002fHvxt79wGbi8e\\u002fozifbJhGx7\\u002ftIdk79\\u002f\\u002fGv5njeMiZt8a\\u002fnJqxZWRtxr\\u002fQ+UrtPSHGvxZDyGMQ08W\\u002f71m1scmCxb\\u002faLeZsXDDFv5NqLKrA28S\\u002fT0gHzvSExL93QD9R\\u002fivEv8oFXG3q0MO\\u002fkveHpM5zw79wFNIYyRTDv5bI3KcAtMK\\u002fMKLgwaRRwr9\\u002fzW717O3BvzOadiwYicG\\u002frieYmmsjwb9M4ZlgMb3Av+cktuy2VsC\\u002fpA1tRpbgv78TqXy8eBS\\u002fv0JMGK2sSb6\\u002fE95aEsCAvb9eBPNeM7q8v9JJH7519ru\\u002ffbXqzeE1u7\\u002fVGpf6uni6vyDQ2Jwrv7m\\u002f\\u002fGBv9UMJub8uCAcY+la4vxsAhM0qqLe\\u002fVIhRa5v8tr\\u002fXCYaS\\u002fFO2vzQOJr\\u002ftrbW\\u002fCjkLhgEKtb+1kW9Xwme0v7c2SJW3xrO\\u002fje3Sx2oms79qfUa4bIayvynSoTla5rG\\u002f\\u002fwMvauBFsb+t9mM9wKSwvzjfKSXRArC\\u002feVPkdQXArr\\u002f+iuWnunitv8H\\u002f4u8CMKy\\u002fV0VEfUzmqr+v9GFILZypv0X+GeNbUqi\\u002fa6yiv6YJp79jKZJO6sKlv6ItAmMGf6S\\u002fyjC0VNM+o7+8OaxbFwOiv9g\\u002fqp58zKC\\u002f3u6VzBA3n78wgXezJ+Gcv7vmyjCNl5q\\u002f4ZcX3SZamL\\u002f5sTCVbiiWv3Nagv10AZS\\u002fZ8RZgOjjkb\\u002f\\u002fvXbrQJyPv4JRDudXfIu\\u002fEMvmNcdjh7++0X8t+02Dvx4xCpaLbH6\\u002fWlaz+BMwdr+bWBjYlrtrvxXPngvItlW\\u002f3B\\u002fehXo5ST+XWxecHM1nP\\u002fLKx3+11HQ\\u002fW+PScGr0fT\\u002fKh+1icqODP3BUQh3rZYg\\u002fvmtPW8FAjT9xnZq8ORmRPwOMQN56nJM\\u002fKBZgU+golj+MskVEIb2YPwm8p1KxV5s\\u002fy+R1FyL3nT+GIEHbBU2gP3+bbOGRn6E\\u002f\\u002fAeL5KTyoj85rs57yEWkP\\u002fvTx0KjmKU\\u002fbT4tU\\u002frqpj\\u002f5gloDsTyoP8gfE\\u002f\\u002fGjak\\u002fULfG5VTeqj\\u002fKu6qshy6sPzBkiRKbfq0\\u002fcdldftPOrj+dphbUuw+wPx0vXDZluLA\\u002fDYtMlIJhsT9NMDN3KQuyP1NAA29mtbI\\u002fryIZ6Ttgsz8R0ZvCoQu0P0r7LpyFt7Q\\u002fz+6I6ctjtT\\u002f6KrGsURC2P47hwsLuvLY\\u002fUISRn3hptz+yLvJOxRW4P+M1D46uwbg\\u002fK4RJzRRtuT\\u002fsReLr4Re6PyCM8IELwro\\u002f3OHYkpRruz8wkU6KjhS8PwiscG8Zvbw\\u002f\\u002fCtZRGNlvT8jsuKTpg2+P6Or5zootr4\\u002fpBAwhTRfvz+X9wngjQTAPyRigDYXWsA\\u002fTecNolywwD\\u002fQWmqdgAfBPzFnleGfX8E\\u002fxtNLu8+4wT83xImtHBPCP6ID2HSJbsI\\u002fKJOTeg7Lwj92e\\u002fbBmSjDP3lQrFIPh8M\\u002fxDZ5Hkrmwz9pMEFZHUbEP0XY4DRWp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8R0z\\u002fmGAyDr0fTP8YZ1cQPftM\\u002fubqlz3a00z+6ifzK2OrTP2wUGdInIdQ\\u002fuw6Wg1RX1D9ObjifTo3UP896zacFw9Q\\u002fDVLCfmn41D9wSI7vai3VP\\u002f9tECL8YdU\\u002fFPWP7BCW1T9v2g8An8nVP+bh+eud\\u002fNU\\u002f\\u002f6eo+AYv1j+YIOba1GDWP26P5EQDktY\\u002fjIBmW47C1j8235QXcvLWP4D5TJ+pIdc\\u002filJmni5Q1z8wdIWr+H3XP92rgsL8qtc\\u002fhYFA3SzX1z9cxxWydwLYPxTEwpzILNg\\u002fbK9ntAdW2D8lUkEOGn7YPxkpNyripNg\\u002fOvytg0DK2D\\u002fLG8I+FO7YP0trKeg7ENk\\u002fMkelPJYw2T\\u002f70TXsAk\\u002fZP\\u002fgBOU1ja9k\\u002f5bpL9JqF2T\\u002fX9xsnkJ3ZP1g2UCIss9k\\u002fEm0gLVvG2T8xexZ4DNfZP66wf8cx5dk\\u002fKl477b7w2T\\u002fkQZYYqfnZP\\u002f8CnAXm\\u002f9k\\u002fCQKOF2sD2j9Kft5rLATaPyUODfQbAto\\u002fKJf7pCj92T9Bp8HJPfXZP4aZqoZC6tk\\u002fboT3lhnc2T\\u002f\\u002fC0lNocrZPwBlYNuztdk\\u002fSQNb4ied2T+lsddI0YDZPy8Sx1CCYNk\\u002fudc14ww82T+wE1MFRBPZP+pqemf95dg\\u002fvWxD\\u002fRK02D9YEJ6MZH3YP6l\\u002f5yHZQdg\\u002f23ylV2AB2D+x9zFi87vXP9rKANKVcdc\\u002fbuIxAlYi1z9nZawsTc7WP41o3yCfddY\\u002fjWlJnnkY1j8B2N5XE7fVP7W4H6mqUdU\\u002fTvj2CITo1D\\u002f9PzNJ6HvUPycPabMiDNQ\\u002fpSJCFX+Z0z8hNJvORyTTP2GEVvPDrNI\\u002fqUGCkTUz0j9Y9nIq2LfRP6or2mrfOtE\\u002fSCfWKna80D8QJ6S7vTzQP2gyYQqbd88\\u002f6zHN5GVzzj8sbApQ42zNP0+VGf4HZMw\\u002fLjJSc7dYyz+foNvPxUrKP\\u002fC5sOH5Ock\\u002fc3yuZw8myD\\u002fXPxtvuQ7HPwxUMrek88U\\u002fcPBcCXrUxD8tRpx44LDDP2mS9n5\\u002fiMI\\u002fd\\u002fIp9ABbwT9KwirdEijAP0FmeC\\u002fS3r0\\u002fwN360H1huz+eXrznsNe4P3kA3FYIQbY\\u002fCGqecTidsz9I7IfcD+ywP8afmwn1Wqw\\u002fR1NMZQnDpj8GtAdmvBChP\\u002fWfDDJ2iZY\\u002figibUhmAhT916\\u002fUk6IBTv9Zg9xfPtoq\\u002fxunjOcOlmb\\u002fq3Hw7DAmjvyRjy55GTam\\u002f1V+Owjucr7+LmPmzGPmyvybYmrWGJba\\u002fqJJe6C5Rub83ZmfMsXm8v8Vc3iWQnL+\\u002fy59fhJlbwb8V8xiCeuPCvwujLRyWZMS\\u002fxqUTiprdxb+\\u002f9rW2Pk3Hv6sXzs5Hssi\\u002f6zhNpI4Lyr8\\u002f1jq5BFjLv4uJFsa4lsy\\u002fH2h6k9rGzb91UlUEvufOv7Y2YjXd+M+\\u002f4+OZz+x80L+3i\\u002fAYPvXQv2ua0jVaZdG\\u002fY6APO0vN0b+QfOkvLC3Sv7g1TEgnhdK\\u002fWG6xz3PV0r9ZouTaUx7Tv8KQ3NgRYNO\\u002fV5fBG\\u002f6a0784fPRybM\\u002fTv84QgO2x\\u002fdO\\u002fYNvj2SIm1L\\u002fDDbYUEUnUv7hgY7PKZtS\\u002fsQKKE5l\\u002f1L+tHU9SwJPUv4tK3il\\u002fo9S\\u002f7DVCLg+v1L8z1DVepbbUv4Trp\\u002fhyutS\\u002fdLCghKa61L\\u002fPajD3bLfUv4LZHuLysNS\\u002fF9xGlmWn1L8\\u002fGNsl9JrUv6xMKjXQi9S\\u002fqGa6iy561L\\u002f46olbR2bUv2AAwDhWUNS\\u002ftBvOwJk41L8bbcH0Uh\\u002fUvyuL\\u002fE7EBNS\\u002fcgWOoDDp078SJaDF2czTv2PF5EL\\u002fr9O\\u002fPLBF39yS07\\u002fGLnRNqXXTv9NRLviUWNO\\u002fTrlBAsk70790pZSIZh\\u002fTv4sh9jCGA9O\\u002fdzJXDDjo0r8CU5POg83SvxNEVVlps9K\\u002fcu0uk+GZ0r83VOZ\\u002f34DSv4m4f4tRaNK\\u002fb2re9iJQ0r9aWhhTPTjSv08p5PeJINK\\u002fflHoYfMI0r+XqB5nZvHRv7ju5THT2dG\\u002fE5mZ9i3C0b\\u002fo9HBbb6rRvyEcw46UktG\\u002fLZxfDJ960b9SqDMXlGLRv604sfB7StG\\u002fOHwk22Ay0b+YsB\\u002f3TRrRv4UPOw5OAtG\\u002fe9l3Xmrq0L8tiJJ5qdLQvxrrd0oOu9C\\u002fAJbxUJej0L+PS5QgPozQvyeTMCz3dNC\\u002fE9Gu4rFd0L\\u002f0WZkdWUbQv+kW4dzTLtC\\u002fKaPmRgYX0L\\u002fRS4S\\u002fpf3Pv5QQw843zM+\\u002fIvkfl4mZz788u\\u002fAyZ2XPvxl6mrOkL8+\\u002fmdP7hiD4zr\\u002fNM3Blxb7Ov49Kp6mLg86\\u002fOl4I+3lGzr\\u002fVXjU8pQfOv0SQB7kvx82\\u002fKIiMmUeFzb\\u002fZ0pSpJELNvxZuxY0F\\u002fsy\\u002fIQlShyy5zL+RIx7u23PMvx0soo1SLsy\\u002fA\\u002f1UE8joy7+JXFy9aaPLv13f4nVXXsu\\u002frAXBgqEZy7+IpmPqRtXKvy14V6Y0kcq\\u002f3+cMskVNyr\\u002fwfr75QwnKv4QRcCLqxMm\\u002fRG1LGeZ\\u002fyb+Fm7pO3DnJv4o2CHlr8si\\u002fIx9zszCpyL99y9zJy13Iv10fxn7jD8i\\u002fj7NNmSm\\u002fx7\\u002fsY1OLXmvHv1oJqIRUFMe\\u002fPrIHz\\u002fG5xr\\u002fSLzBXMlzGv5MzR1Eo+8W\\u002fRiB08fuWxb97JYo86i\\u002fFvwWmVP9CxsS\\u002fjDEEBWZaxL9vrOKtv+zDvws8cA7FfcO\\u002fz2wFxO8Nw79NpNmuuZ3Cv35PvMGYLcK\\u002fUJLuFfu9wb+1Y3ttQ0\\u002fBvxZmaUjG4cC\\u002fg\\u002fSAqcd1wL9ZtomeeQvAvyaZliz3Rb+\\u002fvTKDCbV4vr\\u002ft3amYI6+9v32s87MZ6by\\u002fokKgtFImvL+mThPPc2a7v47BqRYSqbq\\u002fpxLZ2rjtub\\u002fGia0N8DO5v7PbiGZCe7i\\u002f9y6F+kLDt79njKcNkgu3vwdafezgU7a\\u002f\\u002f1ghrPSbtb+F0Se+p+O0v4kzwFXqKrS\\u002fgSSgqsFxs78qRkI0Rriyv7SV+wOh\\u002frG\\u002feojXbQhFsb9W9aY2vIuwv2yc\\u002fAEDpq+\\u002fT8LwZT02rr8ccykXr8isv\\u002f96fTHTXau\\u002fFe\\u002fIbRL2qb+fbh1yvpGovwRFk5oOMae\\u002fT4QTSx7Upb\\u002fwvofD7Hqkv84QlVpeJaO\\u002fWJmL8D7Tob8De3NdRYSgv7\\u002f8nSUvcJ6\\u002fdw5gSJ7cm7+y\\u002f3TS+0yZvyLQ3N9kwJa\\u002fWmxI\\u002ffc1lL+Mb6Di26yRv1WB+jGJSI6\\u002fjz4AxO02ib+d30WxkyOEv6yGbpKbGn6\\u002fsmT\\u002f3CDmc7999rsMsU9jvxC7jjwtPiQ\\u002fcp3kiqrxZT9GWJx4Xl51PyW4\\u002fUkY1H8\\u002fZTcck8sthT9RVDGqPnuKPy\\u002fflCk9048\\u002fp9b5I1Gbkj8x+gloI1OVP2S\\u002f1WZ8EZg\\u002fgM1fp7jWmj+y3X91JKOdP7iA8\\u002fh6O6A\\u002f7hu3sCOpoT\\u002fe9z0YiRqjP0dBlYyVj6Q\\u002f5waB5h8Ipj8o4yc364OnP7l2UYWnAqk\\u002fKF6plPODqj+MbQOwXwesPz36Cl9xjK0\\u002fNIwf4KcSrz+qQbKYwEywP2vijbQ\\u002fELE\\u002fdbsAC5fTsT8eF4iuk5ayP6QvkkUMWbM\\u002fyf816+IatD\\u002fAe5iKBty0Py06b55znLU\\u002fYCA2RjRctj9r59yrXxu3P9+hZb4Y2rc\\u002fqyyYT4yYuD9\\u002fav+r7la5PzXLUsx4Fbo\\u002fn1m+RWXUuj8bAMki7ZO7P5Dim9BEVLw\\u002fuHP\\u002fS5kVvT\\u002fpuX+2Ddi9P1KZ8Xa5m74\\u002fwzlKAadgvz9QG2GsaRPAPxlViioXd8A\\u002fLN5u1E3bwD8H2yNO+j\\u002fBP769ejIFpcE\\u002f\\u002ffiBfVQKwj9FE8whzW\\u002fCP0LuFr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WXqgD13W6z\\u002fSLcB2JdzrP9Fp24MC4es\\u002fFUx5N9vk6z+Uz5QhnefrP3q6Zdg86es\\u002fDTxcJbbp6z+mUxzsC+nrP8EGDtJH5+s\\u002f0ZJjr3nk6z9yezHUtuDrP78oUC0Z3Os\\u002fhOI2Vb7W6z+N8NecxtDrPxMZyRdUyus\\u002fYDLFtYnD6z\\u002fbX+txirzrP2h5K554tes\\u002fCjosT3Wu6z+YLMfqn6frP\\u002fkBF9kVoes\\u002feJ8jVvKa6z+PZoxgTpXrP\\u002fF0QMBAkOs\\u002ftWhrH96L6z+MmEIvOYjrP0odU9Jihes\\u002fx5FORmqD6z9zYQ9IXYLrP4hElS1Igus\\u002fQsr68jWD6z9+vMY4MIXrP3DeZzM\\u002fiOs\\u002fj38HjWmM6z+0xxk8tJHrP1OXFlIimOs\\u002fnGeExrSf6z8\\u002fgO1CaqjrPywKcvQ+sus\\u002fcUtvZyy96z8VJCtxKcnrP3z1pCoq1us\\u002fHLao\\u002fh\\u002fk6z9NcRfM+fLrPx44HRykAuw\\u002fcsbTagkT7D8QoK5\\u002fEiTsP5RjE9KmNew\\u002f2hC\\u002f9axH7D9RBxsKC1rsPwlUcienbOw\\u002fbaEUxWd\\u002f7D\\u002fLCd4TNJLsP87NS0n0pOw\\u002fttsy2JG37D8Z4EeV98nsP0g44MYR3Ow\\u002fuMOUIM7t7D8+w6esG\\u002f\\u002fsP8TAKqbqD+0\\u002fboPPRywg7T9OoQCU0i\\u002ftP4UVSBvQPu0\\u002fikolxhdN7T\\u002fWxT2nnFrtP0xVTtpRZ+0\\u002f0it1cypz7T+b72KBGX7tPwcuyCMSiO0\\u002fiqf\\u002ftQeR7T9C+5cM7pjtP0O3DMO5n+0\\u002f6qrLlWCl7T++\\u002faHD2antP9Xs7HAere0\\u002fgZ14Biqv7T\\u002foedyF+q\\u002ftPzOlY82Qr+0\\u002fi+8nxvCt7T+WFPB3IavtP3sflP8sp+0\\u002fdaAVZiCi7T8EsCpYC5ztP\\u002fDpnb\\u002f\\u002flO0\\u002fUqmEQRGN7T8+y9GlVITtP9QJIS7feu0\\u002f1rWq4sVw7T9QbhHdHGbtP4e4H5n2Wu0\\u002ffe2KU2NP7T870ml+cEPtP1yLQlIoN+0\\u002fYr1tgZEq7T9AixgSrx3tP0nWfWGAEO0\\u002fK\\u002fIUUQED7T+Od4ecKvXsP4inWFXy5uw\\u002ftYFef0zY7D9ioJXHK8nsP1UkiU2Cuew\\u002fhx2QdkKp7D\\u002f9bI7BX5jsP2vLv5HPhuw\\u002f\"},\"y\":{\"dtype\":\"f8\",\"bdata\":\"SZildg8cQT8vMSBQNlSAP6\\u002fLFxozfI8\\u002flyXlTvNHlz8FQ8uwL8qeP5nWnRNZI6M\\u002f+0VpDVffpj\\u002fH5\\u002foiUZmqPx\\u002fg9+EtUa4\\u002fAqLwJEADsT9abf4\\u002fSNyyP6iopsQzs7Q\\u002fanQVv26Htj\\u002fk+cLIVFi4P2IF8pk5Jbo\\u002fWZs+yHHtuz8MSe1QW7C9P3yjeJFlbb8\\u002fIvFeLAySwD+1SV7jDGrBP0dGx1+ZPsI\\u002fxe+r46gPwz+i0dEXRt3DP4YiCcmOp8Q\\u002fDajB07JuxT8GTI9O8jLGPywZfwyb9MY\\u002fMMEBlwW0xz8TfX\\u002fEkXHIPwW5KhSjLck\\u002fiKQ6+ZzoyT8sPFM\\u002f36LKP+NPlK\\u002fCXMs\\u002futa5GZYWzD8grx\\u002ffm9DMP+F8pRYIi80\\u002frS22WP9Fzj8yiXw6lgHPP6Ep+nbRvc8\\u002fvVdXXlM90D\\u002fpWZEH\\u002f5vQP1KwqdLZ+tA\\u002fG2x4FM1Z0T\\u002fWomybvrjRP8+Pq\\u002f+RF9I\\u002fFwk88il20j+\\u002fWSV7adTSP9En6xc1MtM\\u002fVqcArnOP0z9foItHD+zTPw7t9JP1R9Q\\u002fLuEkKRij1D+nNrmFbP3UP5t60tfrVtU\\u002f9OAdj5Kv1T+ztlfDXwfWP7y5inpUXtY\\u002fHqix23K01j+ErAtbvQnXPzjXZO01Xtc\\u002fKUXOTt2x1z9A\\u002ftNnsgTYPx2FP9qxVtg\\u002fb1MDvNWn2D+ObiiEFfjYP4LlqipmR9k\\u002f\\u002fABFebqV2T8pSmOIA+PZPy24AmExL9o\\u002fVjMvujN62j+xz1XH+sPaP\\u002fPFtgt4DNs\\u002fpOYBJ59T2z9rvI6PZpnbPyCRqC\\u002fI3ds\\u002fyF3+3MEg3D9hGFijVWLcPyRUIN6Jotw\\u002ff6X4Hmnh3D\\u002fUwUviAR\\u002fdP2MxfBVmW90\\u002fPxLFdKqW3T8ReALJ5dDdPx3aQw8wCt4\\u002f0Y0ulaFC3j8CysEVUnreP7qa+uFXsd4\\u002fLokmIMfn3j+B2XErsR3fP3c0fBskU98\\u002fQyuVeSqI3z\\u002fBaM8my7zfP0d+f3MJ8d8\\u002fUesOs3IS4D8SIoMWLizgPzdaKlq0ReA\\u002ft\\u002f2hKwJf4D9bG4nRE3jgP6oeTJDlkOA\\u002fpsjADHSp4D+BdzWnvMHgPxyiDMq92eA\\u002fVgu2J3fx4D+KTsjk6QjhP2S6GawYIOE\\u002fkHHvqwc34T\\u002f8fpx8vE3hPwuAJvI9ZOE\\u002fcqyp25N64T+AqDK0xpDhPyYxjEnfpuE\\u002fAbMGXua84T+gH4FK5NLhP7iG8aXg6OE\\u002fVNdZ9+H+4T94Y3527RTiP8Gz4N4GK+I\\u002fyIp9VzBB4j\\u002f35aZwalfiP+psGji0beI\\u002fJiM7YguE4j9ebiuGbJriP4HVemnTsOI\\u002fL7k\\u002fVzvH4j8rnNR9n93iP6AgE0778+I\\u002fUL3R1koK4z\\u002fmhZ0XiyDjP0FdJEa6NuM\\u002f59p+AthM4z9063l35WLjP4WkGWXleOM\\u002fkpPBFNyO4z+fPqo3z6TjP+hifrHFuuM\\u002fhOwTUsfQ4z\\u002fiNSWC3ObjP16UqecN\\u002feM\\u002fqTTmBmQT5D9E7oLl5inkP3X91rSdQOQ\\u002f3IJAiI5X5D80Q7Qbvm7kP6ok0q0vhuQ\\u002fvla67+Sd5D+Hka0L3rXkPybnQMIZzuQ\\u002fBLSsnJXm5D8LyY8xTv\\u002fkPxCGdHg\\u002fGOU\\u002fkv2LJ2Ux5T\\u002fWg3cWu0rlP30MpKA9ZOU\\u002fhYCxAep95T9cvaOmvpflP44MKG+7seU\\u002fxHcJ2+HL5T+JovUgNeblP6X65Cy6AOY\\u002fN\\u002fbDhXcb5j+LHU4bdTbmP9alVP67UeY\\u002fcbXXBlZt5j\\u002fGvVpsTYnmP0qlo1WspeY\\u002fusaWZXzC5j\\u002f\\u002fuRdLxt\\u002fmP7givVmR\\u002feY\\u002ftk69MOMb5z\\u002f9bsd0vzrnP5e7iqAnWuc\\u002fhnaG7hp65z+75HJdlprnP41cNc+Uu+c\\u002fofDyQA\\u002fd5z9KlogZ\\u002ff7nP7CahopUIeg\\u002fEZ7X\\u002fgpE6D\\u002fbP4aRFWfoP2PhqYZpiug\\u002fQC5owPyt6D8T9y8qxtHoP5mK1xS+9eg\\u002fQg0Wf94Z6T\\u002fDfdlGIz7pP6HzM0GKYuk\\u002f4JDxNxOH6T8qTkvNv6vpPwtQhkeT0Ok\\u002f1UKRR5L16T+1JMhuwhrqPxEE5PgpQOo\\u002fW8KzT89l6j\\u002fb0oSeuIvqP0tTG2vrseo\\u002fv0XAOWzY6j8yBEhBPv\\u002fqP8o\\u002fCzNjJus\\u002fmp+uGdtN6z+v8U9QpHXrPyyMVZK7nes\\u002fEce\\u002fIhzG6z8qWZAIwO7rP8TlsVygF+w\\u002fRVvTpLVA7D9WQ\\u002fQ1+GnsP6S68phgk+w\\u002fe0FP6+e87D9Eb482iObsP17HK7k8EO0\\u002fxjC\\u002fHAI67T\\u002f6rzSW1mPtP6F74+25je0\\u002feVvZbq237T\\u002fa6uy9s+HtP8e7gZrQC+4\\u002fHeocjAg27j9xa\\u002fCAYGDuP37TT2Ldiu4\\u002frzGHpIO17j8c48TXVuDuPzrfrj9ZC+8\\u002faNbUdos27z+tnoAi7GHvP8YueLp3je8\\u002fyaslZyi57z8felv39eTvPxYuz\\u002fZqCPA\\u002fLOTM0V0e8D+B5JpATDTwPznK4SEuSvA\\u002fEuZ2qPpf8D+cb0uIqHXwPzWbTSQui\\u002fA\\u002fTm7EuoGg8D\\u002fE3eSNmbXwPyz2uAZsyvA\\u002fphfr0O\\u002fe8D\\u002fDT5juG\\u002fPwP7yb7MPnBvE\\u002fLlfwGksa8T\\u002fOwYwgPi3xPzToW1y5P\\u002fE\\u002fRJtMpbVR8T+oD3UVLGPxP0yhl\\u002f8VdPE\\u002fBLfY6GyE8T8sJPGIKpTxPzK0xtJIo\\u002fE\\u002f5J7IBsKx8T+9Cr7PkL\\u002fxP1Bw6mmwzPE\\u002foJyR0xzZ8T\\u002fUoQcF0+TxP1t1pS3R7\\u002fE\\u002frZw+8hb68T9F0huppQPyPzxQFY+ADPI\\u002f+L428awU8j+sU2VGMhzyPzQK0jQaI\\u002fI\\u002feEiWf3Ap8j8BN63ZQi\\u002fyP7LGiJygNPI\\u002fsHO8YZo58j+8KZSAQT7yP7Sx23GnQvI\\u002fkoeJHd1G8j\\u002fBzlwX8kryPzU\\u002ft9DzTvI\\u002fvi4Ax+xS8j\\u002f6852241byP2wQAtvaWvI\\u002fdXlZRM9e8j9\\u002fiCdLuGLyP4xtZimHZvI\\u002f99K+vyZq8j+7kQmMe23yPyf7pdRjcPI\\u002fI0FNCrhy8j8S9QJgS3TyP4jXqJbsdPI\\u002fRBWo92Z08j\\u002fEvyp4g3LyP85QnPwJb\\u002fI\\u002fTxesssJp8j8mkep2d2LyP6ZWYTr1WPI\\u002fJm8+XA1N8j8f29zrlj7yP3jgHMhvLfI\\u002fhPIZkn0Z8j+il89qrgLyP6pwG3X56PE\\u002fx3OtF1\\u002fM8T\\u002feO8r86KzxP4RzLdCpivE\\u002f9CvCvbxl8T9BpDK2RD7xPwUSaIBrFPE\\u002fhBDfoGDo8D8MZyMhWLrwP5zuxkKJivA\\u002fqFyxKS1Z8D+svLSJfSbwPyD7ycVm5e8\\u002fY06crgt87z+bV69GUhHvPzsX94Cbpe4\\u002fB2cScD857j9JQBlTjMztP9N5dQzGX+0\\u002fOq8aASbz7D+uJTha24bsP099p58LG+w\\u002fRBgOntOv6z96sweJSEXrP+mM2Ed52+o\\u002fpe4k2m9y6j+BKwnCMgrqPzzao2HGouk\\u002f3USmOy486T8KULUIbtboP91oMJaKceg\\u002fB+QuZooN6D8sywQMdqrnP0wxOkRYSOc\\u002fk2hnyj3n5j9rYbLyNIfmPzCHjw9NKOY\\u002fz7bJrpXK5T+iuJe6HW7lP1N6mIzyEuU\\u002fvZfpAB+55D\\u002fmKC6XqmDkP1rXT66YCeQ\\u002f6r8b5uez4z9TsbCvkV\\u002fjP8XZIxOKDOM\\u002fzwnvrb+64j9V4c3qG2riPyN6y3CDGuI\\u002f6giNxNbL4T8d0YAU833hP3o7oCazMOE\\u002fPVP+XPDj4D\\u002fBt3jFg5fgPwPLlyhHS+A\\u002feof2Fyz+3z\\u002fzbSQ7nWXfP3ztg\\u002fykzN4\\u002f1q3gyA4z3j+VLBMir5jdP5qv5Cdk\\u002fdw\\u002f8ryFvhVh3D+\\u002f8BNWtcPbPy\\u002fgGVs9Jds\\u002fPl7VW7CF2j9H9jbxF+XZP2q11HyDQ9k\\u002fbNFazgah2D9+PlTDuP3XP0BWd\\u002fOxWdc\\u002fXA0Iegu11j8Ihnbq3Q\\u002fWP4kNTXtAatU\\u002f4qrybkjE1D9oiPO9CB7UP2NhnQKSd9M\\u002fBNcBovLQ0j+66g0rNyrSP5CUieFqg9E\\u002fE\\u002fGgaJjc0D8lPSx\\u002fyjXQP5mfp34ZHs8\\u002fRnHZptjQzT8B4vEl8YPMP1HJ\\u002fviGN8s\\u002fhJutBsTryT+yeblW2KDIP7\\u002f7eN\\u002f5Vsc\\u002fcpVh6mMOxj81Ar8WVsfEP0SWwwcTgsM\\u002fHysn0N4+wj+tLH8x\\u002ff3APzSzOpBff78\\u002fhr\\u002fjemgIvT\\u002f62DY1hZe6PywDCqYXLbg\\u002fPCOWN3HJtT86sJ9A0WyzP43UVD5kF7E\\u002fHrMF04eSrT94jPpK8ASpP+G1z3XxhaQ\\u002fq1luil8VoD+3Yiy\\u002f8mWXP2oldLy8eY0\\u002fiJKBB067eD+r63OS5iZiv73+9TepPYW\\u002fmboU3pzfkr98An\\u002fgmwebv\\u002fb0JRyHi6G\\u002fqcYQfwGHpb\\u002frscC1LXapvwPX1PPmWK2\\u002fq\\u002fQSF3uXsL\\u002fwVv5eC3yyvwRknR7+WbS\\u002f\\u002fFMSpSwxtr\\u002fEYzlqcwG4v9UCrMa1yrm\\u002fGjXWiOGMu7+nc0I08ke9vwc7gbzz+76\\u002fd\\u002fPkSYJUwL\\u002fnHSJ3qyfBvwBErZKY98G\\u002ft8\\u002f5mHbEwr9fOTKge47Dv54HVLblVcS\\u002f2rgtYPkaxb9SFcPK\\u002f93Fv2hUccREn8a\\u002fT6LelRRfx7\\u002fJ2S3UuR3Iv7ZZB0Z728i\\u002f6b3M85mYyb\\u002f+DdN4T1XKv46\\u002f6qfMEcu\\u002ftngCkTjOy7+HhZDwr4rMv95d7wtFR82\\u002fDcVH+P8Dzr98dUtE38DOv9mCLvjYfc+\\u002ftiue7W0d0L8ja6Z16HvQv30CM3hO2tC\\u002f5\\u002fQKC5E40b\\u002f0cka6oJbRv6aslzpu9NG\\u002fJtKMAOtR0r9HSOC1Ca\\u002fSv+4dHYi+C9O\\u002f6PNHTv9n078gdLyFw8PTv\\u002fz\\u002f4CgEH9S\\u002f+k2SZLt51L9GQRcz5NPUv\\u002fgc7+R5LdW\\u002fIlzMoHeG1b8PXX\\u002fk197Vv1BAcBCUNta\\u002focaRBqSN1r+ztHrk\\u002fePWv6bzot6VOde\\u002fmWC2QF6O17\\u002feKqeUR+LXv9tBxu9ANdi\\u002foa7MYjiH2L+LUo+HG9jYv+2VLyXYJ9m\\u002fRxwb4lx22b8b4yj6mcPZv4aiqu6BD9q\\u002fWWZlJgpa2r8SchN0K6Pav6m6Snvi6tq\\u002fm\\u002fNV7S8x278T7qKZGHbbv13ewk+ludu\\u002f\\u002fhJ3k+L7279KrsMl4Dzcv86xXmiwfNy\\u002f6Ijqome73L\\u002fnKCIzG\\u002fncv\\u002fEBWbLgNd2\\u002f0BRgG81x3b8U8fj786zdv8m5fLxm592\\u002fl4pGBzQh3r+Yx9NXZ1revyptf7cIk96\\u002fDwRbqxzL3r9S0BBUpALfv2SSEr6dOd+\\u002fR0HDXQRw379BLuyw0aXfvzrix\\u002fz92t+\\u002fhIQtj8AH4L+6C+awqSHgv3byfSo3O+C\\u002fxHLpxGZU4L\\u002f3HMOeN23gv9GMvW2qheC\\u002fDvkpqsGd4L8f2P+hgbXgv0wPHXLwzOC\\u002fHI7U5RXk4L8lRkA++\\u002frgv7JzGOSqEeG\\u002fGmD7BzAo4b+HPwY2lj7hv\\u002fhMVOLoVOG\\u002fCANj9DJr4b8NZnNXfoHhvxoqx5XTl+G\\u002fS9kPhDmu4b\\u002fV9JQBtcThv5w6h9BI2+G\\u002fXeG4iPXx4b9NdJWluQjiv\\u002f1Tyq6RH+K\\u002frditeXg24r+OXSmAZ03ivz2My0hXZOK\\u002f6EnD2j974r\\u002f0zuQ3GZLivyYwitbbqOK\\u002fjEAjFYG\\u002f4r8hJp6hA9bivx3Hdc9f7OK\\u002fFsAc2JMC478uip4CoBjjvx18nbCGLuO\\u002f5cU5UExE4783gNgz91njv\\u002fMsH1KPb+O\\u002fDg618R2F478rt2dFrZrjv7f0HP5HsOO\\u002fsrR+2PjF479kF38sytvjv+iLsITF8eO\\u002f87P5QvMH5L8o5GxXWh7kv56yCQ0ANeS\\u002fytn57udL5L9nS4LHE2Pkv30OeLiDeuS\\u002fGM6hazaS5L\\u002fkFB5YKarkv\\u002ftAvRhZwuS\\u002fmVFNzsHa5L+t8SmIX\\u002fPkvzQIBq0uDOW\\u002f2\\u002fLaXSwl5b88PDXNVj7lv7pws4WtV+W\\u002flqxxmzFx5b9opD\\u002fF5Yrlv2UA0FvOpOW\\u002fFBt9PvG+5b99L7WeVdnlvxTIirQD9OW\\u002fUlEyYAQP5r8RGFG9YCrmv4Yn3a0hRua\\u002fOTjcYk9i5r9834np8H7mvyGSTsMLnOa\\u002fa5N6jqO55r938u7Eudfmvx0EzZRN9ua\\u002f3vD31VsV57\\u002fgyrwd3zTnv91QZ\\u002fDPVOe\\u002fbo34DiV157\\u002fesLXd05Xnv4Dc7N7Qtue\\u002fhU0tPBDY578f2VdXhvnnv2\\u002fUZ1woG+i\\u002ft\\u002fWqzOw86L9EfVP8y17ov7M24XvAgOi\\u002flCXFZ8ei6L+I+dWZ4MTov3bnmbkO5+i\\u002flT4DKlcJ6b8DzevUwSvpv1dzStZYTum\\u002fSYy4Cihx6b9Bbk2GPJTpvyahCvqjt+m\\u002f4MT7Dmzb6b9nnb2+of\\u002fpv8a4ULFQJOq\\u002f+dHqp4JJ6r+MgOj7Pm\\u002fqv\\u002fPJFTiKleq\\u002fnhVL0WW86r\\u002fRCOQB0OPqv0M78cnDC+u\\u002fBRJJFDk067\\u002fTCt3+JF3rv4gsDUN6huu\\u00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WwxwCWd47D\\u002fhFR5ObpXsP5WzYypRsuw\\u002frDv8OBbP7D8MsDVGxevsP2ySiPNmCO0\\u002fJOrxRAQl7T8wKAIcpkHtP2goiaVUXu0\\u002fqBCLvxZ77T9kALNd8ZftP\\u002fXKwfLmtO0\\u002fboh95fbR7T+OrWoXHe\\u002ftPz5kG4NRDO4\\u002fd1or94cp7j+JuxTyr0buP1Lc96G0Y+4\\u002fYfo8Cn2A7j+zxbFP7JzuPyoVdyriuO4\\u002fNMDJezvU7j+CJncE0+7uP1VxrDeCCO8\\u002fA7nPJCIh7z8JGztyjDjvPwrfCGKcTu8\\u002fNMio2S9j7z9tp7NkKHbvPw6oYytsh+8\\u002fLLQ81eaW7z\\u002fYiMZQiqTvPzmCvnlPsO8\\u002f9efVlza67z+NIeawR8LvP6noeaqSyO8\\u002fZkScNy\\u002fN7z+spwaRPNDvPwG5Affg0e8\\u002fx72S\\u002fUjS7z9y8dykptHvP0me7EAw0O8\\u002f68JrNR\\u002fO7z8aRv+KrsvvP6+wOWUZye8\\u002f4zgmYZnG7z9YZmXlZMTvPwtBpG2twu8\\u002fHE\\u002fY253B7z+qLhbaWMHvPylgB1j3we8\\u002f6pXvLofD7z8ffNX2CcbvP1zKuhZ0ye8\\u002fetPZGKzN7z\\u002fkOpxKitLvPyMFcq7Y1+8\\u002fi7TfQ1Pd7z8yOQ6oqOLvPzas6w575+8\\u002fN1aOkmHr7z889RzU6e3vP8cwEueZ7u8\\u002fx6FZffLs7z8WeZdIcejvP9pF\\u002fYKT4O8\\u002f6GBykNjU7z\\u002fIEJ+nxMTvP0n5pXHjr+8\\u002f59kTj8qV7z8S9dHwG3bvP70Gt\\u002fSHUO8\\u002fJMqrNs8k7z9N1TMJxPLuP50JfopLuu4\\u002fQRfYTV577j+fUGmUCDbuP8xAWRNq6u0\\u002fnE\\u002fiSLWY7T+ckiplLkHtP4tt9s4p5Ow\\u002fryNETwqC7D\\u002fE\\u002fIDxPhvsP4wzN6hAsOs\\u002fvZe6x49B6z+isWhpsc\\u002fqPy8QfsosW+o\\u002f0TRJuYjk6T\\u002fmvKYiSWzpP3DOOtDs8ug\\u002fd2TYZet46D+kVAyqs\\u002f7nP5T16CKqhOc\\u002f0\\u002fcUDSgL5z+uiOOvepLmP5mP\\u002fQ3jGuY\\u002fJeID75Wk5T\\u002fRH687vC\\u002flP4cfZ6NzvOQ\\u002fEvIwgM9K5D9\\u002f9jns2drjPzkAPfuUbOM\\u002f8ImKCfz\\u002f4j+LV54SBZXiPxVQ3QGiK+I\\u002fS1xJ8cHD4T9d\\u002fJxLUl3hPzrjPsk\\u002f+OA\\u002fM7S9QXeU4D+kUOlN5jHgP0z2GnL3oN8\\u002fR9FZhE\\u002fg3j+Wx5NguCHeP9spZn0YZd0\\u002fpsm4z1iq3D9NTO0sZPHbPzqvZoomOts\\u002fXFLRK4yE2j+7rT3RgNDZP2pE9PTuHdk\\u002fVawAJ79s2D9\\u002fI+yR17zXP68aJbEbDtc\\u002feKpLPmxg1j+SajhXp7PVP+O7QNuoB9U\\u002fI+Ij+0pc1D8mVFX0ZrHTP4IvIu7VBtM\\u002fUqmR7XFc0j+B7enTFrLRPyMRelujB9E\\u002fck2rBvpc0D\\u002fjHbfsA2TPP48dGzxPDc4\\u002f9UDpnLq1zD9aMVkiN13LPxUYzKXCA8o\\u002f35Kht2epyD\\u002flmO0wPU7HP+gi0W5l8sU\\u002fTSrpQw2WxD\\u002fyGyGvajnDP2IJGGm73ME\\u002f\\u002fIgiWkOAwD+WD4sVlki+P9n1vD48krs\\u002f\\u002frhO2xPeuD8L8RBwuCy2PwGZ0C7EfrM\\u002fe60zMc7UsD+eLJc70l6sP\\u002fX9smZEHqc\\u002fU7X0XwHpoT+6iPYSFoCZP2MWqhJakY4\\u002f58iblGK2dD\\u002fK6LaHuz1zv78iZo+TWY2\\u002f6rh3zfBomL+Perf3OgGhvwHAufECvKW\\u002fXmwtODVkqr9cY23KRvmuvx2eTldfvbG\\u002fOOVQDBz0s7+1bWlUsiC2vwJVoksHQ7i\\u002fFytZTg1bur+Ddbq0xGi8v+0T1j48bL6\\u002fNI7ujsgywL\\u002fNVcpFdyrBv3ZIYnNGHcK\\u002fD90JKVgLw783x\\u002f5s0\\u002fTDv0ma8xbj2cS\\u002fZ9K0f7S6xb+6c5sQdpfGv3bxF8JVcMe\\u002famt6mn9FyL+3cBg\\u002fHBfJv+4j9qlP5cm\\u002fhgQgFTiwyr+X+vAq7XfLv+zLqId\\u002fPMy\\u002fVVkalfj9zL\\u002f27wLFWrzNv\\u002f4eAiqid86\\u002f5O1nasUvz7\\u002fClGUDt+TPv6dGbWczS9C\\u002fKJ8c3WGi0L9UmgTN3vfQv+NqxoGjS9G\\u002fD8qSiqud0b+f7yaL9e3RvysTs+yDPNK\\u002f5OEKZl2J0r8k\\u002f0JTjdTSv2+sDdcjHtO\\u002fHaqpwjVm0797VepD3KzTv4wapVs08tO\\u002f9mCDIV421L+poLbce3nUv3YUNvuwu9S\\u002ftGHm8iD91L\\u002fZ0zwZ7j3Vv8dxiX44ftW\\u002f37gM2hy+1b\\u002fHn1aTs\\u002f3VvxAlLPQPPda\\u002f0TpmjD981r81W\\u002f7OSbvWvzVJ5uwv+ta\\u002fm5157+w417+2q3MRdnfXvxjnflK7tde\\u002fQkvPPqjz17\\u002fOzufhJDHYv\\u002fXVx9kWbti\\u002fZoNffmKq2L\\u002fuiGAQ7OXYv04dVeKYINm\\u002fwIRYb1Ba2b\\u002fS5NRT\\u002fZLZv71FOh6Oytm\\u002fL3Sl7\\u002fUA2r+LUsjmLDbav9tn+VEwatq\\u002fPBH9pwKd2r8Y3r1Jq87av\\u002fOMohE2\\u002f9q\\u002f8Ldgt7Iu27+th\\u002fkQNF3bv00s5TrPitu\\u002fWyhEspq3278AdDNsrePbvzIgGvUdD9y\\u002fh4b7oQE63L9a6JXca2Tcv1sgbpFtjty\\u002fUdH1xBS43L82t9VSbOHcvzGsLth7Ct2\\u002fPBB3x0cz3b8UyJOi0Vvdv6hwBVYYhN2\\u002fCCiRrhis3b9k2sDhzdPdv3j1+yAy+92\\u002fNSzTLj8i3r8\\u002fombu7kjevz15heU7b96\\u002fYN46qyGV3r\\u002fPS909nbrev3sdSz2t396\\u002fyPSzB1IE379R5Ae5jSjfv5qXyw5kTN+\\u002fggiNM9pv37\\u002fdK3N29pLfv6OgVPS\\u002ftd+\\u002fUuVaOD7Y378ZLXPaePrfv7Cn1ZA7DuC\\u002fzbsO2B8f4L\\u002fUCaEe7C\\u002fgv3yOObGiQOC\\u002ftdcXPkVR4L9qUKvQ1GHgv+yiF9hRcuC\\u002fj7fiN7yC4L+tLnZhE5Pgv1x5nnRWo+C\\u002ftMTRZISz4L+Lo80gnMPgvyxgBrqc0+C\\u002fC2R2iYXj4L++H5VPVvPgvwMWl00PA+G\\u002fNwiOVrES4b9dKonXPSLhvw0cada2MeG\\u002fCA+x5x5B4b9I9CwceVDhv9s8w+fIX+G\\u002fVkowAxJv4b+aIbRKWH7hv7cx5JufjeG\\u002fAPXYtOuc4b+55dEWQKzhvyzeK+6fu+G\\u002fuKEqAQ7L4b8GyqOmjNrhv0TQFsUd6uG\\u002fKG8z2sL54b+FokUKfQniv01vfTZNGeK\\u002fUTKYGDQp4r\\u002fDMRhiMjniv53o+txISeK\\u002fTo\\u002fCi3hZ4r8fZa3Gwmniv1HOHFQpeuK\\u002fKxh1eq6K4r9VYyAKVZviv7AB1l4grOK\\u002fOHHMVxS94r+AJQdHNc7iv1hIetiH3+K\\u002fj2Y98hDx4r9bHXOP1QLjv53e4JfaFOO\\u002fzLxptiQn479rk7YwuDnjv3NkS8KYTOO\\u002fHPsdfclf478nVHexTHPjv9dFhN4jh+O\\u002fzD+ArE+b4780yt3wz6\\u002fjv0J\\u002fQ7yjxOO\\u002f5bapccnZ47\\u002fDAWXlPu\\u002fjv8k2e4IBBeS\\u002fspFKdA4b5L9WDVHSYjHkvw71yMv7R+S\\u002fyeHX0NZe5L8oUTa38XXkv+sifdhKjeS\\u002fVjSnKOGk5L+1K8pDtLzkv9tMi3LE1OS\\u002fuSRcpRLt5L\\u002fq8w5noAXlvwYuzMdvHuW\\u002fofjZQYM35b+OQ\\u002faZ3VDlv3A6N72BauW\\u002fTZB5nnKE5b\\u002fzhFcVs57lvyCBd8BFueW\\u002foay47CzU5b8kl2OCau\\u002flv1kVE\\u002fn\\u002fCua\\u002fCgyNUu4m5r+89kMcNkPmv4+jwHbXX+a\\u002fY7rHIdJ85r8qQLeLJZrmv1M9W+LQt+a\\u002fAU5aI9PV5r8ml10qK\\u002fTmv6HXO7vXEue\\u002fNGOzhtcx579fIp8oKVHnv+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2fxznw\\u002fV3q0j9CjSRvyTTTP+gor3nhf9M\\u002fyZ9uE6XL0z9SPEY4ERjUP9t\\u002fRLwgZdQ\\u002fEMZKLMyy1D+GOk7ACQHVP7IsiGHNT9U\\u002fBTLyxQif1T9wG0ahq+7VPxO8euqjPtY\\u002fQJdvM96O1j+rED8PRt\\u002fWP1k5lYLGL9c\\u002fW2mEeEqA1z8Q3bE1vdDXP8RxacMKIdg\\u002fs+s5TCBx2D9vMC9k7MDYP8Y9lDdfENk\\u002fXB1UnGpf2T9Cw4oDAq7ZPyeXikoa\\u002fNk\\u002fh\\u002ftybKlJ2j+X7VUXppbaP3d1uykH49o\\u002fI2X1HsMu2z\\u002fveBJyz3nbPxbRPQAgxNs\\u002fhsvjc6YN3D8I\\u002fQHCUVbcP\\u002fp+jsINntw\\u002fzF7j68Lk3D8vnp03VirdPy4xczWpbt0\\u002ffeI+Tpqx3T9N+\\u002f82BfPdP7p27pDDMt4\\u002fGckusa1w3j8xPEaIm6zeP04IVp9l5t4\\u002fmix4H+Yd3z9VUHnW+VLfP4fkqyuBhd8\\u002fEKq\\u002f92C13z\\u002ftKWozg+LfP5rQHblrBuA\\u002fjv+UkCka4D8OuIjBeCzgP7UQRLRZPeA\\u002f7a7hUc9M4D\\u002f9BGKe3lrgP7otsTaOZ+A\\u002fd033t+Vy4D\\u002fUjOUW7XzgPwWBve6rheA\\u002fDN2A0CiN4D+4mP+aaJPgP7ZeVORtmOA\\u002fiaTIfDic4D8MqBcSxZ7gP4bAo\\u002fgMoOA\\u002fvV17Hgag4D94xBYqo57gP0banMTTm+A\\u002fdoZWDYWX4D8D++AxopHgP2AuwyQViuA\\u002fZPJjaseA4D+6fRPzonXgP\\u002frZ\\u002f\\u002feSaOA\\u002fwCaN0IRZ4D+Cn7C1aEjgP6zZmGkyNeA\\u002fagIZu9kf4D\\u002fnpevdWgjgPxJ8wiVt3d8\\u002fgkyvOuSl3z\\u002fZSJsLLmrfPx1Y1FdlKt8\\u002fHXeDWavm3j\\u002fJtMpIJp\\u002fePxnZcKf\\u002fU94\\u002fKKMkamIF3j\\u002fsG3IWebPdP3Ecd+1rXt0\\u002fhbQnO18G3T\\u002fugIXgcavcP1Jcmyy8Tdw\\u002f+Eh1FE\\u002ft2z8HudTVM4rbP9kHQQtsJNs\\u002fTdGJMvK72j+q2CGhulDaPywrLdy04tk\\u002faBn7RM1x2T+vKy8G7\\u002f3YP+0tTioGh9g\\u002fWd\\u002ftwQEN2D+yVIn+1Y\\u002fXPy4TDSd+D9c\\u002f9EOPTP6L1j+qWUyoZAXWPyEfyY\\u002fKe9U\\u002fBZa78FTv1D\\u002f0wNpLNGDUP+furiukztM\\u002f1TymGuo60z\\u002fWrL4hVKXSP5A2vN42DtI\\u002fuh3WRet10T9NkMwmzNzQP6uQOpAzQ9A\\u002fD44mW\\u002fBSzz\\u002foAvB41R\\u002fOP8ya42mn7cw\\u002fOHNJe+K8yz\\u002fnEtUC643KPzkaK+4KYck\\u002f\\u002f59MTXA2yD9+BIziLA7HP62lUbY26MU\\u002fn0PNoGnExD9VNliwiaLDP2ScV0lGgsI\\u002f2ztd1D1jwT83I4LJAUXAP5nLksk1Tr4\\u002fs3XXnRoSvD+XroQQudS5P5jb\\u002ftAdlbc\\u002fCExzGmFStT\\u002fZLEQ1qwuzP84DF3k3wLA\\u002fR\\u002fSLhqverD89Nvfa1DCoPylJJs\\u002fZdaM\\u002f1knLtJRZnT9mljyHoamTPyOA2F6ntIM\\u002fmRxG0zvGFb\\u002fV7l82L1CEv7VfZRMSXpS\\u002fRbzSwzW5nr+lTTAXip2kv4+yQHCm8qm\\u002fZuKyosFcr7+CbU9bU26yv\\u002fkO5f+GObW\\u002fmiiG\\u002fkYQuL8y\\u002fPzQxPK6vwyNrV4O4b2\\u002fjyZ\\u002f1YFtwL8IWjc9JvDBvwo3dzkneMO\\u002fjLttHxIFxb8X5SsbS5bGv9ksN4QKK8i\\u002fVT2NZlvCyb8lJa1pG1vLv7n\\u002f9zH888y\\u002fsrW\\u002fSYaLzr\\u002fbbqjHDhDQvwNMc4oD2NC\\u002f3wvCJ7ic0b9O8nGxO13Sv3J+3CWaGNO\\u002f9Lh+T+HN0788M77GJXzUv5jRQ+uHItW\\u002fkOMIqjjA1b\\u002fUQ6HmfVTWv4jWdmG23ta\\u002fJgZt+Vxe17+chIgtC9PXv9sue8p6PNi\\u002f+FEDuIaa2L9tuY3iKu3YvzBFG0aDNNm\\u002fyK6tJ8pw2b8UYRiSVaLZvxo+rzGUydm\\u002fSqynrwnn2b\\u002froOGxSvvZv6HXEab4Btq\\u002fsKraf70K2r9hqUiQRwfavypBeZpF\\u002fdm\\u002fr+8URWPt2b862fMCRtjZv9a4AIeKvtm\\u002fieqJ0MKg2b94cv\\u002fVdH\\u002fZv2uH9cwZW9m\\u002flN14Bx402b95xKFY4QrZv1MdIO2339i\\u002fwzBqgOuy2L8tHHLUvITYv2a7XlBlVdi\\u002ffe\\u002fBqhgl2L94BRqFBvTXv0qr+eBbwte\\u002fz+TNWkSQ178rfqwa613Xv+hpn3B7K9e\\u002fab88FyH51r+bOcAcCMfWv7t1BHhclda\\u002fSDZnU0lk1r9vP5wb+DPWv8B1iGOPBNa\\u002fhfRRsDHW1b9eJc9B\\u002fKjVv3FdYusFfdW\\u002f23IjEF5S1b+L3BTTCynVv1fgKYkNAdW\\u002fdHFEd1ja1L87KEDi2LTUv8bs1HJykNS\\u002f+4DR6gBt1L+bRRwlWUrUvyP\\u002fQlZKKNS\\u002fnIdVgJ8G1L8vmHYKIeXTv4TGEWuWw9O\\u002f22cL08eh078dQofIf3\\u002fTvx4ZA6GMXNO\\u002foNJkzME4079laSLl+BPTv\\u002f0grnwS7tK\\u002fBB6onvbG0r+OtdEIlZ7Sv+k2MBnldNK\\u002fOp4Id+VJ0r\\u002fS6zt+mx3Sv2yU63YS8NG\\u002fO04VpVrB0b84DfU8iJHRv81ybEmyYNG\\u002fovlykfEu0b+9a7WIX\\u002fzQvx93IVYVydC\\u002fSeI9+SqV0L\\u002f\\u002fUQCVtmDQv0gzceTLK9C\\u002fiToBtvfsz78NtCzgqIHPv4inhibBFc+\\u002fI\\u002fNMiVCpzr8PAlCXYTzOv20jZAr6zs2\\u002fnbYYhBthzb\\u002fOl\\u002fBbxPLMvx+wK3Hwg8y\\u002fMcjN85kUzL8OtcsauqTLv6a39r9JNMu\\u002f0KEq3UHDyr\\u002ffujjpm1HKv6P20xVS38m\\u002fj1U0cl9syb8zVxj4v\\u002fjIvwVoH4pwhMi\\u002f0qQd624PyL8WF\\u002fu1uZnHv2bk9VxQI8e\\u002fNrPKNTOsxr9D33WWYzTGv+dSGATku8W\\u002fevo2c7hCxb\\u002f+nTmW5sjEvzEr6zR2TsS\\u002fEaL0hXHTw79agQGC5VfDv4MSjSfi28K\\u002f12lVpnpfwr89DiJqxeLBv3HE6\\u002f3bZcG\\u002fOuZvwtrowL9fIbh14GvAv3699Bcb3r+\\u002fF3h\\u002fugblvr85rphcxuy9v5slNDya9by\\u002f289bB77\\u002fu7\\u002fxiuuTZgu7v1+ZH7G\\u002fGLq\\u002f\\u002fL9\\u002fMeonub9QMb1K+ji4v0AuZGb2S7e\\u002fMYXgedZgtr\\u002fdlXT2g3e1v4Wvq1raj7S\\u002fkQPdZqips79M\\u002fe3tscSyv+dGHTOy4LG\\u002fiR2yvV79sL8mk2mEahqwv4eynZkSb66\\u002fkB9dLeaorL\\u002fTkpfTzuGqvxYBJrhgGam\\u002fP+aTUUpPp79ExjdrWIOlvxAXZtF4taO\\u002fHOUSdrvlob\\u002fnS7f2URSgv0Z+6wAbg5y\\u002fAyV+SLbbmL\\u002f2+SCCfTOVv59Qb3qZi5G\\u002fznVvX4vKi79+ztijgYOEv1YWYnXziHq\\u002fi4owsnw+aL8TeNi7epNBP7ctsUNFaXA\\u002fDjwQaHeDfj9vAgb2LECGP9e\\u002f36c3MI0\\u002fLOgzBVoJkj8BI+zuhHSVPxGAKeqQ2pg\\u002fnj4pTqg8nD+07R49HpyfP5B\\u002f+KsvfaE\\u002f\\u002fGw1inAsoz91IzNCiNykP4SNoLIgjqY\\u002fW7iKJs9BqD8jp09fDfipP5NkCeszsas\\u002fNfa6EHZtrT\\u002f3\\u002fPKH3yyvPz6+nQ2qd7A\\u002fAA1UnkhasT8Byqu9GD6yP2NSgtjYIrM\\u002fk65\\u002f1DsItD\\u002fdhpn37O20P2XxkzOU07U\\u002fJFd8oNq4tj9QGb\\u002fubp23P9p025kJgbg\\u002fQojVp3BjuT9XSzTHekS6P6p2T6URJLs\\u002fjw2JYDMCvD9kmkgF89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ywVvOgXuU\\u002fuXI5Z\\u002fB35T8YtBgfb5HlP94JLGoYq+U\\u002fbcI72+XE5T9cX0H+zt7lP62aGSHJ+OU\\u002fJTFmNMcS5j+T477IuSzmP32IDyuPRuY\\u002fsT6LoTNg5j+nhwTJkXnmP0Ip0xCTkuY\\u002fAU7QUSCr5j\\u002fysmx7IsPmP\\u002fUjkFCD2uY\\u002frmnfLC7x5j+Xg0XKEAfnPzMvOv4bHOc\\u002fEXVBZkQw5z+tgoj7gkPnPxarUIbVVec\\u002fSSsC6z5n5z+PvjhMx3fnPyeF0\\u002f57h+c\\u002fBkL0Tm+W5z+mJ9EWuKTnP8WtMCpxsuc\\u002fvX5Am7i\\u002f5z9m0SDfrsznP8YT4Nl12ec\\u002fQJCu2i\\u002fm5z\\u002fIw7mR\\u002fvLnP49pWwkCAOg\\u002fthIWrFcN6D90NztgGRvoP3EpFcFcKeg\\u002fjkcXfDI46D+QtfnWpUfoP8mK2GG8V+g\\u002fyyWI1nVo6D+ZjGkkzHnoP5DLOqazi+g\\u002fuBa\\u002ffRue6D\\u002fSa70P7rDoP1FBy5kRxOg\\u002f7Y6v2mjX6D8zA+jF0+roP+y7\\u002fzow\\u002fug\\u002fXMnvuVoR6T9xEKQOLyTpP1u16+6INuk\\u002fqcB\\u002fh0RI6T+ftU72PlnpPwzYx7FWaek\\u002fqNpb3mt46T9\\u002fVbqUYIbpP\\u002f+eZRwZk+k\\u002fDdD2Hnye6T+o3MvYcqjpP+g50UvpsOk\\u002f+SqleM636T\\u002fsjnihFL3pPwxa2pixwOk\\u002fijkYHZ\\u002fC6T+u6CU\\u002f28LpPw5oJ9Jowek\\u002fsmnl3k++6T81Ir0UnrnpPxBZIzBns+k\\u002f1TiyTcWr6T8Iuwog2aLpP81Pqf7JmOk\\u002f4gk3xMWN6T9pUeNzAILpP9o37J6zdek\\u002f1ROjhR1p6T+oHd7xf1zpP0rzzMseUOk\\u002ff0ptbT5E6T+XjkG8ITnpP0QURBQIL+k\\u002frKA0Eism6T+DRiFOvB7pP9yNRxnjGOk\\u002fimb8U7oU6T91yhNxThLpPw9qL7ybEek\\u002fIrpi94wS6T+M1bhi+hTpPw8WZz2pGOk\\u002fgLrpzEsd6T+XGQzygSLpP2RSGk\\u002faJ+k\\u002fpzBd\\u002fdMs6T9jpr3K4DDpP+jBOvNnM+k\\u002fdFbzRMkz6T\\u002fFDhqZYDHpP6u+cYiJK+k\\u002fE5cUP6Mh6T9S+W5RFBPpPyB1l3NO\\u002f+g\\u002fQNuW9NHl6D\\u002fuu8bgMMboP7n+HrERoOg\\u002fhv4EcTFz6D\\u002fhusxIZT\\u002foP5IecmCbBOg\\u002fLLjnE9vC5z8cKHZ4RHrnPzMozTgPK+c\\u002fu9FU04jV5j\\u002fmKcZLEnrmP90v3GUdGeY\\u002fOCzZgimz5T9SwX4+wEjlP65i1elx2uQ\\u002ffBapAtJo5D+OofLFc\\u002fTjP0rHh\\u002fnmfeM\\u002ftkd6BrUF4z+ywKZ5XoziPz\\u002fKR\\u002ftYEuI\\u002fzgAkyQ2Y4T9DZFq52B3hP5bKJcYHpOA\\u002fNLVsHdsq4D9oXaVTC2XfP3Sg9Axcdt4\\u002fD9LUld+J3T8LG3Yzup\\u002fcP8ak1bUAuNs\\u002fazAeFLzS2j+\\u002fLvoB7e\\u002fZP3RIAVKPD9k\\u002fs0xD\\u002fpwx2D\\u002fwz262EFbXP7Ad29rnfNY\\u002fpFFu1COm1T9dSoPCytHUP87YJYHn\\u002f9M\\u002fqNPFEokw0z8XR3qAwWPSP0ZDt0qkmdE\\u002fNlKliUTS0D9qUN\\u002ffsg3QP\\u002fpaLMj2l84\\u002faYvaS0cazT+ADbHgUaLLP\\u002fddAtD9L8o\\u002fM7TaPR3DyD9uyERgbFvHP\\u002fLPIt2R+MU\\u002frSlhVSCaxD\\u002fDkDMUmT\\u002fDP6Soiclv6ME\\u002fsvK2KA+UwD\\u002fKADlwvIO+P5JSGSqM4rs\\u002fYbcq0W9DuT9F00+NZaW2Pz6SrWKSB7Q\\u002fEhMh+0tpsT8hTZt2QZStP7WN0367U6g\\u002fk3Fx6CQRoz9wZbtxRpqbP\\u002ft278K+EZE\\u002f46LSduovej\\u002fVoaotFpdvvzK\\u002fAgX8y4y\\u002fcIKU2O3HmL+KeY9odYmhv+Ak7hiBoKa\\u002fBbmiDCWmq7\\u002ftvqAlxUuwvxTpf+gHubK\\u002f2QF6AbAZtb+a8JVhwWy3v8xzBbt1sbm\\u002fQdqYPUHnu79GaO3o1A2+v9iEITaPEsC\\u002faT7V06IWwb\\u002flZEL+UxPCv3OBctnoCMO\\u002fKQah5rr3w7+dJZdZMuDEvzXh8BLBwsW\\u002fpgr3et2fxr+WUi94\\u002fXfHv5QUgbmRS8i\\u002f3XsMhgEbyb90Jug8p+bJv6VZVqXNrsq\\u002fN2gnJa5zy7\\u002fRInjnbzXMv7fBWvIn9My\\u002f48rNHtqvzb9YrTTcemjOv6b6xp\\u002fxHc+\\u002fpvJ92RvQz7834ZkhaD\\u002fQv5qvCy7xlNC\\u002f+lEs8ZLo0L8dEHkPOTrRv+Jaxm3SidG\\u002fl9EvcFLX0b9o76XvsSLSvwL17Nzva9K\\u002fnshgjBGz0r8DvGGqIvjSv2ODs9w0O9O\\u002fdj8bGV9807\\u002fQDPu8vLvTv9eyYXRs+dO\\u002fRhPnAI811L+K56jxRXDUv2yHyl2yqdS\\u002ffGYFsvPh1L9PnTGgJhnVv3VEUz1kT9W\\u002figDQV8GE1b+zaiMMTrnVvxM+6JoV7dW\\u002fDsaHfx4g1r8w9IfDalLWvz7+bYf4g9a\\u002fO66kt8K01r+APOjhweTWv2gleh7tE9e\\u002fH6rY\\u002fzpC17+dKOh7om\\u002fXv6r\\u002fXsIbnNe\\u002fdgfF9aDH17+bu1u+LvLXv9XMq7DEG9i\\u002fKXYbhGVE2L86668YF2zYv6TLzE3ikti\\u002fb\\u002f9BrtK42L9J9SH49d3Yv86\\u002flIhbAtm\\u002fB7wTtRMm2b9txSAcL0nZv3FEn\\u002fe9a9m\\u002f+p54es+N2b\\u002f7fjRCca\\u002fZvwu0uuOu0Nm\\u002f0oKomJHx2b8DjJoQIBLav7YXpmdeMtq\\u002fxDwYQU5S2r\\u002foro0D73Hav+vgrjE+kdq\\u002fd0Fp2Tew2r\\u002fm4XES187av3y6Q4QW7dq\\u002fORip6\\u002fAK27\\u002fBwTKYYSjbv8KVv9pkRdu\\u002f82VWX\\u002fhh278XK\\u002f5tG37bvy8q3w\\u002fPmdu\\u002fLaywFxa1278wEjAO9c\\u002fbvyea\\u002fQRy6tu\\u002f2H2pU5QE3L95EuVDZB7cv8+gn7LqN9y\\u002fSIxLrDBR3L9wqZkKP2rcvxjYpxkeg9y\\u002fCGX0SdWb3L\\u002ft3G3zarTcvyK6vyzkzNy\\u002fYeObuETl3L\\u002fBjk0Jj\\u002f3cvxPKclnEFd2\\u002fbgFl1+Qt3b+vyrLf70Xdv3tDJ0LkXd2\\u002fxKFCjMB13b85iMRTg43dv6JS\\u002fnsrpd2\\u002fXY8Pcbi83b\\u002fQsulUKtTdv2GA9RqC692\\u002fTIBkkMEC3r\\u002fG\\u002fodQ6xnev7ST4KUCMd6\\u002fAqDnWQtI3r\\u002fZycJ2CV\\u002fev+ePDf8Adt6\\u002fHNueoPWM3r\\u002fyW5xn6qPevyx4RHfhut6\\u002fxrKXzdvR3r+XEncW2ejev2pt7pHX\\u002f96\\u002fQXlEENQW378mux8Fyi3fv6lIqrGzRN+\\u002f4fMzZIpb37\\u002f1dnjKRnLfv4lOelLhiN+\\u002fGfDllFKf378gjTvDk7Xfv8Y9mxOfy9+\\u002f9B0HJHDh379yW0JPBPffv0nuD3ctBuC\\u002feC2HwLoQ4L+unnbfKxvgv3n00cODJeC\\u002fJjxAXcYv4L86YPp4+Dngvz9O5ZMfROC\\u002fZVcio0FO4L8aieHVZFjgv0prrVOPYuC\\u002fNVSn+sZs4L\\u002fbPDshEXfgv7dEsF5ygeC\\u002fkCapXe6L4L9PvCm7h5bgv3TGEvQ\\u002foeC\\u002fcxFEYhes4L87DMFJDbfgvyFMWPUfwuC\\u002f8DV34UzN4L+lyAvzkNjgv6xBqrfo4+C\\u002fKYykq1Dv4L8wvWWCxfrgv5GJOW1EBuG\\u002f8kGxXMsR4b\\u002f2ShU5WR3hv5k\\u002fwA7uKOG\\u002fCVnaK4s04b\\u002fpZqgtM0Dhv465d\\u002fzpS+G\\u002fR6EUtrRX4b+ojZ+HmWPhv9pEcXifb+G\\u002fcn2FKM574b9P7YmFLYjhv0zaLXrFlOG\\u002fyNycm52h4b8NxirZvK7hv781HTIpvOG\\u002faN4ydefJ4b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DKTwNnLexz+MHDLS\\u002fV3IP3cdB2kG38g\\u002fSw0puZ5hyT\\u002fwu2EP0eXJP2dG6DSfa8o\\u002feaWh4gLzyj\\u002fhOjCz7nvLP8vQUYVPBsw\\u002faud1OQ6SzD++pxawER\\u002fNP2Fxg+pArc0\\u002f5busLYU8zj97uDwGzMzOP4q24g4JXs8\\u002fyawZXTfwzz\\u002fsz9U+rUHQPycbPni\\u002fi9A\\u002f2QMxDV3W0D8i3c\\u002fVlCHRP07JuUB5bdE\\u002f1udhiB+60T+0el23ngfSPxZk54gOVtI\\u002fuaXuNIal0j+91EM4G\\u002fbSP\\u002ftnyyngR9M\\u002fjT77rOOa0z9SBmGQL+\\u002fTP1SQkiTIRNQ\\u002f4sXZ1Kub1D\\u002fr4FYH0\\u002fPUP9Z6Z0YwTdU\\u002fI2AXsbCn1T+DDXKsPAPWPzz\\u002f8Mu4X9Y\\u002fw8Iu5Aa91j\\u002fu3KQ4BxvXP5IsrbOZedc\\u002f0PFcF5\\u002fY1z\\u002floCEW+jfYP9tcSkOQl9g\\u002f+2LLzUr32D\\u002fKnG36FlfZP6oZHFbmttk\\u002fqAXrnK4W2j\\u002fcppFWaXbaP\\u002fT1KS0T1to\\u002fWb3jBqs12z+hUMHuMJXbP4eiOduk9Ns\\u002fyT2YYwVU3D8\\u002fyAt2TrPcP4nddyB4Et0\\u002fGv9MfXVx3T8AAezTM9DdPwNMifmZLt4\\u002fzVJC\\u002fIeM3j\\u002fS4lAe1+neP6OzLyNaRt8\\u002f4RxR7N2h3z8px\\u002fReKvzfP\\u002fUjdcSBKuA\\u002fen1rexVW4D9Z5geWsIDgP2STMpUzquA\\u002fC9G6+3\\u002fS4D8xeqIGefngPwQ0dlIEH+E\\u002ffZEYZgpD4T8UjMMcd2XhP2oTsOo5huE\\u002f7BG4+UWl4T8qpEodksLhP1yDEZ8Y3uE\\u002ftfKW59b34T9ygPsHzQ\\u002fiP1sMRCv9JeI\\u002fpSbo9mo64j+YPQHjGk3iP78BxJIRXuI\\u002fGJnENVNt4j\\u002fuTO\\u002f54nriP2ecI5XChuI\\u002fNG0N7PGQ4j95E0LabpniP+P24h01oOI\\u002fyY4tZz6l4j\\u002fs34iKgqjiP9aY49H3qeI\\u002fvIypaJOp4j+D407cSafiP2c7eqoPo+I\\u002fdvE\\u002f1dmc4j+\\u002fhK11npTiP3sAFUVViuI\\u002fod4YFvh94j86dV83g2\\u002fiPzwoBLv1XuI\\u002f+15Dn1FM4j\\u002foYmnWmzfiP31Opy3cIOI\\u002f4WIHFB0I4j+LtzdEa+3hP5RoNVXV0OE\\u002fgyH8Nmuy4T+bhTKhPZLhP0LYU3pdcOE\\u002fj98OPttM4T\\u002fa7nlpxifhP3vjWPMsAeE\\u002fu7gL1hrZ4D+UIN6vma\\u002fgP0JkZ32whOA\\u002f5B+EcGNY4D96I0DlsyrgP\\u002fPhqOlA998\\u002fWslyS0qW3z9MgIZtdzLfP+XlsQS4y94\\u002fHcQx7Phh3j\\u002fiKWM1JfXdP8S6q04nhd0\\u002fCvYHOOoR3T8\\u002f4KO7WpvcPx4SI6FoIdw\\u002fNEK80gek2z+RD\\u002fxrMSPbP4FJ1arknto\\u002fIG6NvCcX2j8K3AdhCIzZPxso6V+c\\u002fdg\\u002f5ScBzAFs2D+4qVsSX9fXPyOORtPiP9c\\u002fOHWLhMOl1j\\u002fBkBDdPgnWP3I7FQuZatU\\u002fCzZRtxvK1D9I+GTYFCjUPy8NSFvVhNM\\u002fFnC2pq\\u002fg0j+93wEB9jvSP1KAFuH4ltE\\u002fchflNAXy0D+5Da+oYk3QP2T0mPejUs8\\u002fTkC44BYMzj+3RZLHesfMP6LiNzwWhcs\\u002f4qkfyxdFyj\\u002fqoarFlAfJP\\u002f96c8GIzMc\\u002fpH4439WTxj9OsVvkRV3FP8CVCiuMKMQ\\u002fgCpRZUj1wj+rKe0mCsPBP7Uv+iBVkcA\\u002fLOPJ40u\\u002fvj99NsfH7lq8P0Hz0NmP9Lk\\u002ffewaej6Ltz\\u002f\\u002ftW1IJx61P6w18yqerLI\\u002fbq3jHSc2sD9JHly9+nSrP5v0OB8xc6Y\\u002fCl7QAF9noT+CfF1x4aSYP7GSH7Yw14w\\u002fzvmapzCacD\\u002fOWz8dcpd4v8SyboOodJC\\u002fVkRqeH\\u002fAmr\\u002fKwhFV8oGiv0Q8FmC7nKe\\u002fn9XuHhmurL9ZxQn97Nmwv21zsiUeVrO\\u002foeyHpQXLtb8yWEPdWzi4v3OJKoI1nrq\\u002fLI7o2An9vL\\u002fpHwAotVW\\u002fv5omZoi71MC\\u002fP2iXUvb8wb8wTkwdgyTDv5zlqZN8TMS\\u002fsA2E4RZ2xb\\u002fubbwWlaLGvxuVTEI908e\\u002fKC7GqUsJyb9WDrmO5UXKv\\u002fgL2vsLisu\\u002frUeAF4\\u002fWzL+NqtN3AizOv6ZXx+6yis+\\u002fYdFuHE950L8Svgt1tjHRvxuKdHA37tG\\u002fbDQsOE2u0r8R1rYsR3HTv4Mc7UhLNtS\\u002fe36h3Vn81L95x4KKUsLVv3pOVU36hta\\u002fdBxAdgJJ178Gh3NHEAfYv98ANQDFv9i\\u002fii+hD8Zx2b9OY18qxRvav3DZGACIvNq\\u002fncO1Ue9S27+kdPgv\\u002fd3bv6SvwDLaXNy\\u002fz6qrg9nO3L\\u002fnhHSiezPdv\\u002fWb69Vvit2\\u002fMHUJSZTT3b\\u002frIwPg9A7ev2JM19zIPN6\\u002fzFEUdW9d3r+98TKDa3Hevz2SeoReed6\\u002fg2rEGAN23r+0rHk7J2jev2fO02ymUN6\\u002fzRDN\\u002f2Mw3r8dGIS8RQjev+sRYAAv2d2\\u002fKbleffyj3b\\u002fQswuxgGndv3FWIyKBKt2\\u002fYwNHarTn3L8G1+EHwaHcv47z0+s8Wdy\\u002fa38Pr60O3L9rRVFWicLbv4mFwIU3ddu\\u002f4CGoAxMn27\\u002fgl7Foa9jav\\u002f59A92Gidq\\u002fj9M+xKM62r\\u002fLAVo++uvZv4xOf2i9ndm\\u002fhcsLTxxQ2b+i5jiIQgPZv5FGgHVYt9i\\u002fYz0MMINs2L8OQjIq5CLYv\\u002fnsvpSY2te\\u002fE7+ImriT17+4jCaHVk7Xv6mvsO59Cte\\u002fCbod7DLI1r+BIySKcYfWv+MjtGctSNa\\u002fdiJJpVEK1r\\u002fO+L4jwc3Vv8vqSxhXktW\\u002fE8QI9OdX1b+c41mYQh7Vv22M38wx5dS\\u002fl7CT532s1L8X5p6U7nPUvzgMX6lMO9S\\u002fcIcy7WMC1L9jVOTCBMnTv6IVCJ8Fj9O\\u002f2fgZOkRU07\\u002f\\u002fjKZwphjTv4e358ca3NK\\u002f6NvpkZie0r+tAS2xH2DSv9UJjQC4INK\\u002fEgbHaHDg0b88wfKwXZ\\u002fRv4oViRqZXdG\\u002f5Hnn2z4b0b\\u002fvJpKNbNjQv2jesZ4\\u002fldC\\u002fXnBx5NNR0L+uNAFWQg7Qv52egghAlc+\\u002fiYsgsfoNz7+gtFpEy4bOv6hofuq9\\u002f82\\u002ff\\u002fY5tNR4zb8XbV+OCPLMv+uou7dKa8y\\u002fMUtOn4bky788vh4MpF3Lv6QPoGyJ1sq\\u002fWRQ3Kh5Pyr+CnQ7eTMfJvza+40YFP8m\\u002f+1mt4z22yL\\u002fXILQc9SzIv+P+hOsxo8e\\u002ffIy7+QMZx79+EYc2g47Gv3syk+rOA8a\\u002fwrQ4WQx5xb9PYycEZe7Ev07zwqsEZMS\\u002fs5fvKRfaw78Nu9tGxlDDv7RbX6c3yMK\\u002fkxHU8opAwr+UhvBK2LnBv7FGaysvNMG\\u002fK7c6wZWvwL\\u002foWonCCCzAv2NljpL3Ur+\\u002f5I4RVrRPvr8Hiw6EEE69v1zH4ynKTby\\u002fBV5WjJhOu7+4Z5FeMFC6v2dn0xZIUrm\\u002f9+mqJJxUuL+YuJ\\u002fO8la3vzKtQoIfWba\\u002fYHSMaQVbtb8oab4imVy0v3E9DIThXbO\\u002fPXaGYfdesr8yzVRZBGCxvxL+kLdAYbC\\u002f4vCTHuHFrr966IFhwMqsv9hDhVrA0aq\\u002fss9XPYLbqL9H7tvWnuimvyxnSH+e+aS\\u002f930o4fEOo7\\u002fhiuTz6yihv0UYbe96j56\\u002fPVV2WOTWmr9K1bvG3yeXv0WH5fLugZO\\u002fpVLtiJ7Ij7\\u002fps6iKBZyIv3e1uOa3e4G\\u002fGJcEQi\\u002fKdL+PModnF6tav2ND+uVZsV0\\u002fEkS3f3WAdT8zGNvTN8uBP84OetA32Yg\\u002f+B2In+Lrjz+ezXDxMIKTP9uaHEirEZc\\u002f4sFOt2qkmj\\u002fFyAxENTqeP3i2RdJI6aA\\u002fqPXwrGe2oj9BdfWwCISkPz9BhHitUaY\\u002fYNp3xs4eqD+qR\\u002fPp4+qpP5DJuxtqtas\\u002fWdU\\u002fe+t9rT\\u002fyUxVYBUSvP3mKv7+2g7A\\u002fxx3LKftjsT9lZR3ByEKyP7NnA6IoILM\\u002f3qcaDzT8sz9hRWaaE9e0PxAZvaX9sLU\\u002fQE1QUTSKtj\\u002fWADT1AmO3P03eXUe7O7g\\u002fajhOUrIUuT+R\\u002fn1hPe65P3KQvgevyLo\\u002fEw4XYVSkuz8rQYmtcoG8PzWXy1xFYL0\\u002fFsu\\u002fnPxAvj+Crph1vCO\\u002fPwTXzDtOBMA\\u002fQ3u9+9N3wD\\u002fltwxob+zAPwKzPU0bYsE\\u002fH29KJM7YwT+nG+IFe1DCP6oN6bYSycI\\u002fXSQvwYRCwz9xzYGLwLzDPxC4A2W2N8Q\\u002fUEr6eFizxD8gle+hmy\\u002fFPyzrAhV4rMU\\u002f865s4Okpxj9GuXU68afGPyG2U6CSJsc\\u002fiN1oxtalxz8zTzldyiXIP57I8q99psg\\u002ft1mZIgQoyT8QXseWc6rJPxW7b77jLco\\u002fhQc7ZG2yyj+iiPKwKTjLP05YAXUxv8s\\u002fJgNxfJxHzD97t\\u002fjygNHMPwDyydzyXM0\\u002fZMPHpwPqzT88GNHXwXjOPybHw884Cc8\\u002fqzfkt3Cbzz9cdLRAtxfQP9BOBgOaYtA\\u002fmmnfIGCu0D9HO+jRB\\u002fvQP2VFKTqOSNE\\u002fLabipO+W0T+Kf1jFJ+bRPxO2J\\u002fsxNtI\\u002f1G2IlwmH0j9DicIgqtjSPwHOBpEPK9M\\u002fairgjTZ+0z8N6oaVHNLTP25bjh\\u002fAJtQ\\u002fBsCuriB81D9QtdLRPtLUP+qsEBMcKdU\\u002frPPU07qA1T8+7zMWHtnVP+FjITRJMtY\\u002fwMQZhj+M1j9mE537A+fWPw+1paiYQtc\\u002f1gb+S\\u002f6e1z9+TfLSM\\u002fzXP+AiT981Wtg\\u002fgyDdVP642D\\u002fUapHzgxjZP9qDcgO6eNk\\u002fVRm3FpDZ2T\\u002frWurl8TraPxiI60jHnNo\\u002fFS51TvT+2j+J6IdyWWHbP89Rq\\u002fLTw9s\\u002fk5OHPT4m3D\\u002fos\\u002fV5cIjcPzHnXyBB6tw\\u002fwQg5oIVL3T+rY4QKE6zdP3kL7Lm+C94\\u002fgjzH8F5q3j+xI7ply8feP39ORrjdI98\\u002fmJOyx3F+3z8UkRjoZdffPwS\\u002finlNF+A\\u002fgu6\\u002fGfpB4D\\u002f\\u002ftsGWq2vgP0jbQqNVlOA\\u002fGKQNqey74D+vPoKFZeLgP7epQkC1B+E\\u002fpCWwwNAr4T9HyRqHrE7hP+L3fG48cOE\\u002fvGtPe3OQ4T8XjXC7Q6\\u002fhP18ISDqezOE\\u002f+fNGC3Po4T\\u002fiwbFrsQLiP5UDU\\u002ftHG+I\\u002f4TReCiUy4j8bIHv5NkfiP3oTwKdsWuI\\u002f5GJd6bVr4j9LD\\u002fgABHviP9WTORVKiOI\\u002f4b35m32T4j8JpaK0lpziP3fyBmyQo+I\\u002fKy\\u002fT5Gio4j9VKQJhIaviP7dPPCq+q+I\\u002fdKO3WEaq4j+oyPN5w6biPwbQcxpBoeI\\u002f0ZlEN8yZ4j++o5qdcpDiP9PjBUBCheI\\u002fGFaSiUh44j8DuJi3kWniP8OD+kIoWeI\\u002f\\u002f5gCYRRH4j\\u002ftpiujWzPiP0h\\u002fp7sAHuI\\u002f5nu+agMH4j+QSBGXYO7hP7u2i5AS1OE\\u002f9D+KexG44T8BGXXfU5rhP0oVA1LPeuE\\u002fW6eSNnlZ4T8HdKuHRzbhPznx3Z8xEeE\\u002fAgLp9jDq4D9Ay1jIQcHgP9Nzt5ljluA\\u002fNR3hl5lp4D8Z0wjF6jrgPxpmZfNhCuA\\u002fKKZqFhuw3z9PiFk7\\u002fkffP8UYk5KV3N4\\u002f7l2c7Qxu3j9b9zzxkfzdP3FEgTBSiN0\\u002fGk54PnkR3T\\u002fo3LXSLpjcP2zuuxyVHNw\\u002fILP+YMee2z9o8z\\u002f32B7bP0cJnL3UnNo\\u002f3N4BDr0Y2j+bwTE9jJLZP+WMFaM1Ctk\\u002fTQWtJKd\\u002f2D8JXUgwy\\u002fLXP95VyBWLY9c\\u002fxzF8ntHR1j+nIVbDjT3WP95R3ly1ptU\\u002fFBDIpkcN1T+J+XpxT3HUP2wFUt7k0tM\\u002f+pa3hy4y0z\\u002fY\\u002fXn8YY\\u002fSPyiwdn3D6tE\\u002f8vG09aRE0T+d5c8uZJ3QP8ZoVpvQ6s8\\u002fXZm1Wj2azj\\u002ftScNu7knNPw2r6sDA+ss\\u002fjlOw7oWtyj8t2mvv+2LJP6Ej6inFG8g\\u002f1xzbYGHYxj+88b7WJ5nFP4Ekyf5CXsQ\\u002fa0ZEAK4nwz\\u002foNgg+NPXBP1hjaPxyxsA\\u002fpg1TTbo1vz9il3k1guO8P+0r6o+glLo\\u002fA+\\u002fqqVBHuD\\u002fptuzWuvm1P8Jlsm0KqrM\\u002fmXisK4RWsT82nJLiN\\u002futP\\u002fJNXpERPKk\\u002fhxwTaKxtpD8eMnpkxx2fP8yZ1xHTPpU\\u002frAPAbD1\\u002fhj94r8x1dzBSP4AOszXrJIK\\u002fiBDcUutak78XljQYQK+dv6FOxHjBA6S\\u002fCBAXOqctqb8wNvmwGlGuvyDegQkNtbG\\u002fRCTHf4g6tL\\u002fCzSQfh7e2v6cgtgL6Krm\\u002f3e7pJ1CUu7+VkfmJhfO9vzl0EiSWJMC\\u002f7NZelzdLwb9X4+6ghm7Cv0KBxxqnj8O\\u002fQcFmB\\u002fivxL9rUsw7B9HFv9QpUk2C9Ma\\u002fbgzgTiUcyL\\u002fo4skEqEnJv55RnUuqfsq\\u002fxf49e6C8y78f9ECUwATNv9+NLwHxV86\\u002fLX5QqLm2z7+mJaP6m5DQvyvRjTKLS9G\\u002fnr41\\u002fsML0r+djNnzo9DSvxwYnq1OmdO\\u002fRmckzrFk1L8rKRT5ijHVv6Cdv4pv\\u002ftW\\u002fWjoKyNXJ1r8KWbswH5LXvz5HB5OjVdi\\u002fusHWd7wS2b8pFnt80MfZvxbtJDBec9q\\u002fHRaCEQYU27\\u002foag5Tk6jbv3sKaRoDMNy\\u002fcYa9\\u002f4mp3L\\u002fNB0OllxTdv+CrHVPYcN2\\u002f4SmnmDS+3b+z\\u002fV8Iz\\u002fzdv+uepzYALd6\\u002fEbQJNFFP3r9ohb3JdGTev2GCVsk\\u002fbd6\\u002f8Jw1x6Bq3r8wV9eZl13evyXsnfYsR96\\u002f\\u002fhZef2oo3r9QvBiLUwLev5Qqbeje1d2\\u002fBwIRyvGj3b\\u002fVFLf9W23dv+osEH3VMt2\\u002fm3THV\\u002f303L\\u002fFflPlWbTcv2516R5acdy\\u002fq4J39Vcs3L9zE81tm+Xbv6J9ZUZendu\\u002f2KHd5s9T279ihQZZGQnbv\\u002fF8qg5hvdq\\u002ftBw1Pc5w2r8pwRihiyPav2QxgoXJ1dm\\u002fYR4Q+b6H2b9XQi8lqjnZv2xXvcrP69i\\u002fDTkB83me2L94eT3v9VHYvzGpmMqRBti\\u002ffwxaWZm817\\u002fD0zgVU3TXv7x3iPj8Lde\\u002fW8Rcicnp1r\\u002fq4m1C3afWvyQrzYFMaNa\\u002fJdS5HRor1r8BAI22NvDVv27ITdKAt9W\\u002fbruZw8WA1b\\u002fg1cFSw0vVvyg42BUqGNW\\u002fqXR0W6Dl1L8Bv52ExbPUv0Gv7aQ1gtS\\u002f\"},\"type\":\"scatter3d\"},{\"hovertext\":\"Current 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BVSMcPi8g\\u002fJMF7ZXwNyT+7RRGTBJLJPzIc16\\u002fKGMo\\u002fyF5R6eahyj8ankaKZi3LP2+OeNpLu8s\\u002frtYxkY5LzD8JyGPVHN7MPxJPWb7ccs0\\u002fjyz1QK4Jzj8LW21vbaLOPxMM0+z0PM8\\u002fnVS5ciDZzz+qbRCjZzvQP8O3wzzzitA\\u002f3rVHbinb0D+f2gA\\u002fBSzRP7qLXdWGfdE\\u002fsxSJrbPP0T8FQQaEliLSP+3V8fQ+dtI\\u002fq7m41MDK0j+OAtdKMyDTP+0Ph7qvdtM\\u002fB2bzh1DO0z\\u002fbmV3KLyfUP0fHpfxlgdQ\\u002fQB2jvQjd1D\\u002f51c6wKTrVPxbK7I3VmNU\\u002fntO5axP51T9m311O5FrWP4yMnP5CvtY\\u002f3++4KiQj1z94hvDNdonXPx0okNck8dc\\u002fh7oqBxRa2D8bqpXwJsTYP8pqKxg+L9k\\u002fKn2OFjmb2T\\u002f\\u002fQ9Gy9wfaPxuxhOJaddo\\u002f+kS4oEXj2j9e3FKPnVHbP411O1lLwNs\\u002fdsZfzzov3D+sLZG+Wp7cPz6\\u002fN4CcDd0\\u002fsQzGS\\u002fN83T9GvG9SU+zdP73JtrGwW94\\u002flcHES\\u002f7K3j8MsRWWLDrfP63cpG8oqd8\\u002fY6rDB+0L4D+jkNkNEkPgPzRb1nrxeeA\\u002f5JMKJHaw4D8QymBuh+bgPwBbp18JHOE\\u002fa00f1txQ4T+BP2jk34ThP0WBEE7ut+E\\u002fGVd2H+Lp4T92ZVlalBriPxZJiq\\u002fdSeI\\u002fhNqdPZd34j8NGG9Mm6PiP3yBjf3FzeI\\u002fRx5v6vX14j87HFGqDBzjP\\u002f\\u002fRDjvvP+M\\u002fnBHISYZh4z88uN1ZvoDjPwjJfcqHneM\\u002fQPGWvNa34z\\u002fFm3\\u002fcos\\u002fjP7I\\u002f0xPn5OM\\u002fe\\u002fHxKKH34z+j8x9S0QfkP+ECeMJ5FeQ\\u002fova7Np4g5D9uGZKHQynkP2Vr9UVvL+Q\\u002fZSabZScz5D\\u002fT6OL3cTTkP3N0pfhUM+Q\\u002frz31LNYv5D9lwrgS+ynkPwN8A9\\u002fIIeQ\\u002fON1GiEQX5D8FtezYcgrkP01UroZY++M\\u002fg5UJS\\u002frp4z8N24r5XNbjP6i8OJGFwOM\\u002fiJs2R3mo4z8mW56JPY7jP9NbjPrXceM\\u002fJr5PZE5T4z\\u002fHW5CopjLjP6TC8azmD+M\\u002fDrA3SBTr4j9BxikzNcTiPxL3YgBPm+I\\u002fhircHWdw4j\\u002fwPF3igkPiP00rHainFOI\\u002fcpHI9Nrj4T8N7fatIrHhP7O34FeFfOE\\u002fdjQBWwpG4T\\u002fJpk1Mug3hP+kB5jKf0+A\\u002fEG2rxcSX4D+fYA2bOFrgP05Yp0UKG+A\\u002fNSPzsZa03z\\u002fklDWlHjDfPwHXWMvWqN4\\u002fTScZUOwe3j96JkZFjpLdP6UzOJDsA90\\u002fuISdrjZz3D\\u002fwVJ5gmuDbP4TOSElCTNs\\u002fszFcmFS22j\\u002fIWrfR8R7aP7GNvcYzhtk\\u002fZL\\u002fg1Czs2D8qzyZ651DYP7m1\\u002fUxmtNc\\u002fOy8qYKQW1z9Cjj4WlnfWP0weFWIq19U\\u002f39WPa0w11T8IirOJ5ZHUP4XFcH3f7NM\\u002fUk9o0yZG0z\\u002fF3QdPrZ3SPycnxD5s89E\\u002fIN0wmGZH0T8jZmq7qpnQP972fn+n1M8\\u002ftN+CXxRzzj966W5BCA\\u002fNP3EyVTEJqcs\\u002faBcdfbRByj\\u002fH1xmyutnIP797fVPaccc\\u002f\\u002fSNid9kKxj+8j+iIfqXEP3dYYnyIQsM\\u002fgbnOzabiwT\\u002fFwl+pcYbAP8TYeUHFXL4\\u002fQSjam5y1uz9Q8zt8vhe5P8GNBOYkg7Y\\u002fuT4xc2v3sz9zJ\\u002fUC0HOxPx46lSRv7q0\\u002fWhElbG4AqT9Z9tr2QRqkPw27YwNRcJ4\\u002fNNMbr0OslD8yAFeqZcCFPzrEj9JpQlA\\u002fo6yWnZnegb90FunfrwCTv8wcTsRXNZ2\\u002f68t2\\u002f5DIo7+RrG2BHwupv9PsTGWHYq6\\u002fvruxaQTnsb8wS0Oo+6W0v2RAjvbjbLe\\u002fnQ3uERU6ur\\u002fI92BMlQu9vwpQbjYv37+\\u002fHOzdWkVZwb+hOJk9pMHCv5XqpFOPJ8S\\u002fW93uqfqJxb8+whjZAOjGv6JbIDnvQMi\\u002f\\u002fqMaH1CUyb\\u002f4DJec8uHKv4uABVHvKcy\\u002f4N3b+6lszb8+\\u002fu6gz6rOvxv7\\u002fzVR5c+\\u002fzp+ce62O0L+wXkJTJCrRv2xzxY7LxdG\\u002fwcwR3Wli0r8ldckjxQDTv06HaQ2ZodO\\u002fSy46ko1F1L\\u002fTmlLfLe3Uv3twvvzfmNW\\u002fOKJnjd1I1r8VPA\\u002f5Lf3WvycMyEKitde\\u002feRCnvdJx2L9vR3C+HjHZv62IvVSu8tm\\u002fZ3FaAXa12r+QWztLPHjbv\\u002fZsbwGhOdy\\u002fv8mI5yX43L+0I+p7OLLdv+nDzHw8Zt6\\u002fI8MTypYS378MRGE\\u002fuLXfv\\u002f0JuREUJ+C\\u002f1Pqx50Zt4L9p0Pac3Kzgv7Dcng9V5eC\\u002fxxXKxkoW4b93yP\\u002fXdD\\u002fhv56cleGnYOG\\u002fHY6CGdZ54b\\u002fDUDB5Dovhv6GnaBd7lOG\\u002fegAIyV6W4b+9Zl0nEpHhv90K1R8AheG\\u002fXzWNM6Jy4b86qbGOfFrhvyjn8B4aPeG\\u002fVwoozggb4b+6BKcC1vTgv7qUaoELy+C\\u002ffa+jyCye4L8xSy\\u002fytG7gv9DplCYVPeC\\u002fBIcWorMJ4L\\u002fqy02N1qnfv3Q5E18XPt+\\u002fwV1rbLPQ3r+SZAqoIGLevxjo3pLD8t2\\u002foyEm5PGC3b+Tx2hZ9RLdv7Fh9n4Oo9y\\u002fFW4SRncz3L+ynZpEZcTbv8d+B4ILVtu\\u002fnFTJvpvo2r\\u002fyb6EsR3zav07VK5g+Edq\\u002f6jLSDLKn2b\\u002fcqWEE0D\\u002fZv7XXFDrE2di\\u002fCCLGPbZ12L\\u002f0NPnmxxPYv1nfZ8gTtNe\\u002fYVnEw6tW179XG5Pal\\u002fvWv2vEklTVota\\u002fyLxvTlZM1r+pedm8AfjVvwvN4OizpdW\\u002fcb49Yz9V1b\\u002fhTSJlbgbVv4Kz+I4EudS\\u002fSbQs8MBs1L9LxCw\\u002fYCHUv\\u002fKkWCaf1tO\\u002fkyCxiTyM07++StGp+0HTvxpa8Aqm99K\\u002fDdk5Cg2t0r+0n3QQC2LSvzWYbVaEFtK\\u002ftdiVNWfK0b9wgmMFrH3Rvw3L8YtUMNG\\u002fZ5fDDWvi0L\\u002fd5yMNAZTQv+10LM0tRdC\\u002f966kXRnsz79lVcT+dk3PvyoBGJ+xrs6\\u002fq5sk0QQQzr+LQvzkp3HNvwd0LbXL08y\\u002fjBn\\u002fCZk2zL8c4CafL5rLvwjkP86l\\u002fsq\\u002fN+Cl1ghkyr8m+oiyXcrJv8YNjGGiMcm\\u002fNlRwi8+ZyL8pm35Z2gLIv2t3sWO2bMe\\u002f1AYlj1fXxr+p9+a9s0LGv9zNtDTErsW\\u002fHgI0oYYbxb+EaE+y\\u002fYjEv25GMDwx98O\\u002f7xdB6S1mw7\\u002ft4U2BBNbCv6las9bIRsK\\u002fZhI7b5C4wb+xhWsCcSvBv8o7fel+n8C\\u002fMKCzncsUwL\\u002f1JRHByBa\\u002fvzG3EkyiBr6\\u002fJb9Uqif5vL8mXwfYT+67v72peB4F5rq\\u002fLDilCSbgub+tOL4mh9y4v5UYsHD12re\\u002fNJxGRDnbtr8h+JKsGd21v2JeQtJf4LS\\u002foXL7Vdrks790q8VeYOqyv0gq3inU8LG\\u002fFzbr8CT4sL8AHsIFUACwv3mFkR7CEq6\\u002f\\u002fplEweImrL9F5u7jTD2qv2Ft0R9fVqi\\u002fcRB6xoVypr\\u002fiTMr5M5Kkv2E0nTTctaK\\u002f3viHtejdoL\\u002fNtLt\\u002faBWev7tZjUUHeZq\\u002ftqAn1gDnlr8IknAmal+Tv\\u002fiWibkrxI+\\u002fQNwQxifdiL+SoKyCaQiCv52yhlBCiHa\\u002fLYLByIk4Yr9wxXw7DuBQP+6q8mfAeXE\\u002fIIFgTyeufj\\u002ftcXyOHe2FPwqEQBVIgYw\\u002frRq76cWKkT\\u002fKmdNFvdWUPyB4zyYYIpg\\u002fkYib8iVwmz8Ox\\u002fuI97+ePxVlOqOxCKE\\u002foH58Wgayoj\\u002fo2Pq7t1ukP\\u002fMGVmd2BaY\\u002fh3o+b+2upz+2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87oAeSTbX4v+3RobCMsvi\\u002fWbfoXluv+L+J0vzgqqv4v1BuuHlrp\\u002fi\\u002fq9EYLI2i+L+aD1yAAJ34vzPu\\u002fkK3lvi\\u002fiozJM6WP+L9Qw5CbwIf4v+EWO8ACf\\u002fi\\u002fObrqL2h1+L9lB97d8Gr4v1MBlA2gX\\u002fi\\u002fHkP2CnxT+L\\u002fpop2wjUb4v1pJob\\u002ffOPi\\u002fccOmDn4q+L82lQKYdBv4vypzi3DOC\\u002fi\\u002faWI4spT7978286hmzer3v11UQH562fe\\u002fgOl+4JjH979CtL6hH7X3v0dnZ2n\\u002fofe\\u002f41kfEiKO97\\u002foXnyLann3vxRkVQK1Y\\u002fe\\u002f8tIqUtdM97+gikK\\u002foTT3v8kBKvbfGve\\u002fHQZ0Slr\\u002f9r8\\u002f99Ur1+H2v5dbX8Ycwva\\u002fCNaAwPKf9r8LxAsIJHv2v0tfVJ6AU\\u002fa\\u002fnu05U98o9r+2+BFfH\\u002fv1v4fpTMwpyvW\\u002fcF4do\\u002fKV9b\\u002fnbmvLeV71vxgv15vLI\\u002fW\\u002fOlRqDwHm9L9UzLueP6X0v4o7kry4YfS\\u002fVZVi+agb9L8T5zzUVtPzvx5CskIRifO\\u002fICnd+y09878GJ9+UB\\u002fDyv3soxH77ofK\\u002fV1W+9mdT8r+WXQn6qQTyv4Mdd04btvG\\u002fcsK0rxBo8b9Foskv2Brxv56PONe3zvC\\u002fAhagjuyD8L8+5NBYqTrwv\\u002fEDZcIt5u+\\u002fJX4svqZa77+m3tGW5dLuv3dlXcb+Tu6\\u002fPOnv3PTO7b81gk+CulLtv7W0EdI02uy\\u002fGp\\u002fE9j1l7L8ldRLnp\\u002fPrv2XosCc\\u002fheu\\u002fcMD8dc0Z679zE1dBHLHqv0T3ltz2Suq\\u002fZKr+VCzn6b9Sd+vgkIXpvxZvst3+Jem\\u002fqtaLWVfI6L9nqNQrgmzov3Q0C6NtEui\\u002faFGI1A26578CGN+dW2Pnv2lD2GpTDue\\u002fX0QN1fO65r+\\u002fTCczPGnmv2ZIsi0rGea\\u002fBRdSbr3K5b85DQ187H3lvxbaaNStMuW\\u002f0kNvTfLo5L+gYIfIpaDkv837mzmvWeS\\u002fDnSBAfET5L83Sy2WSc\\u002fjv3ffTW+Ui+O\\u002fdiBaKqtI478svXDWZgbjv1YKdFahxOK\\u002fAZ3QxjaD4r8JaVHUBkLiv+YmSvL1AOK\\u002fxAspYO6\\u002f4b8fvhHx4H7hv\\u002fiMWYvFPeG\\u002f\\u002fzNtWZv84L+\\u002fPKKpaLvgv8+WhX46euC\\u002ftg0q1SM54L85VDNVefDfvw5eXplBb9+\\u002f4d0zCt3u3r+69g9eim\\u002fev2A0qpGH8d2\\u002ftbU9Jg913b\\u002fnuoObVfrcv1J7LkOHgdy\\u002fScTFhsYK3L8CCsqyKpbbv26xJVO\\u002fI9u\\u002fNGCSJYSz2r9t3BGfbUXav10yUfpl2dm\\u002fWB0fvk5v2b\\u002fFBGGlAgfZv+spbM1XoNi\\u002fwUiSDCI72L+iGy5RNdfXv1EfnOlndNe\\u002fIF5Il5QS179fnTdSnLHWv4A9AqdnUda\\u002fM8TZnufx1b+jKZonFpPVv576vvj1NNW\\u002f6KH++JHX1L\\u002fp\\u002fu8u\\u002fHrUvyW3IE1MH9S\\u002fu1IX753E07\\u002fCJKKgDmvTvwhvWsu7EtO\\u002fWgpMp8C70r+9HzNLNGbSv8iwxfYnEtK\\u002fMg8krqW\\u002f0b8WUwI5r27Rv80YpZI9H9G\\u002ffgqx0UDR0L86nWKIoITQv3kQYZc8OdC\\u002f+WG2ztzdz79uB4zwFEvPv0vcZ2HEuc6\\u002fva0OqYspzr8gtc0QDZrNv7Xt0o3wCs2\\u002fmKjiWud7zL9qIxcSr+zLv2EGjx4UXcu\\u002fRzo5Z\\u002fPMyr8s5sQeOzzKv7uujLDqqsm\\u002fHnd5zhEZyb8ia6yvzobIv6YKoZpL9Me\\u002f3D\\u002fT3rthx794\\u002fE1pWM\\u002fGvymIeyRcPca\\u002fCvHhVQCsxb+t6QgseRvFv1SWpavyi8S\\u002fqyCEJY79w78ad9BWYHDDv7kvx0tw5MK\\u002fu3UEErdZwr89uTA8INDBv6EQUS2LR8G\\u002f8qUiF82\\u002fwL+azjqNszjAv5HjWQ0PZL+\\u002fqIhARCFXvr8mca\\u002f5MEq9v460xNjbPLy\\u002fOYQC2c8uu7\\u002f581ou0B+6v4xalwa5D7m\\u002f+41M3oH+t78q035LPuy2v8AezTEd2bW\\u002fNbVCambFtL\\u002f8TJH+drGzv064Ryu8nbK\\u002fgFuHba2Ksb\\u002fPbNztxXiwv0oB\\u002fkT70K6\\u002fw4HjDYW0rL8WbAGL5Jyqv2moUVGpiqi\\u002fBuWfPi5+pr8kERsfk3ekv5Uc30K5dqK\\u002fX01RLUN7oL85fzy6LgmdvxnK2QHMI5m\\u002fFAKLiWJElb+Hed2Br2iRv5FoH9qBHIu\\u002fiZbZxx5lg79VE1MDYUx3vwRxVJps116\\u002f8Mw75icEYD9UJ0UIDON3PyGD4r+o+YM\\u002fq3melNMbjD+nZ3OlzyySP5Nc5NvvWZY\\u002fSKmeOlmVmj8XC0jLy96ePyk0n67kmqE\\u002f7M\\u002fumdTMoz84CqrS1gSmP5b1Hy6NQqg\\u002fmJU79KSFqj+st4qs4M2sP\\u002fR6MF0gG68\\u002fQGXb4LO2sD9Esq8PceKxP+TAucDxELM\\u002fAN8AqHNCtD8l0xcuRne1P+x4MlLHr7Y\\u002fnzzuml\\u002fstz\\u002fkdEFXfS25P2uH4HuPc7o\\u002fdrPIbwC\\u002fuz\\u002fPoSAcMRC9PwbzHpB0Z74\\u002fO05QgQzFvz\\u002f\\u002f\\u002fuxxk5TAP6Y282LuScE\\u002fT1IYQ5kCwj\\u002f4tly0jL7CP78jozu5fcM\\u002f5blOQwlAxD9XAl2TYwXFP8rLRhquzcU\\u002fR8Qk3NCYxj8\\u002f8SrauGbHPwPjxsNaN8g\\u002f19qgRLUKyT9OGWLH0uDJPwYyPYzKuco\\u002f+CNv+8CVyz+cUM8m53TMP7WydXl5V80\\u002fkfzboL09zj8LZfjG\\u002fyfPPxVZ\\u002fJ9HC9A\\u002foQfqa92E0D8a8qd55gDRP2Lba96Df9E\\u002fUHOqy9AA0j\\u002fiWu0H4YTSP+0FPcG\\u002fC9M\\u002fZDaHz26V0z+CPVJ45iHUP9H72L4VsdQ\\u002fCA6oRONC1T9bXlq3LtfVPyIxg8DSbdY\\u002fknaRZacG1z8HROW+hKHXP1g3x+dFPtg\\u002fF2DABMzc2D96KDY7AX3ZP1DVUnTbHto\\u002f1dQ8xl7C2j+bBGphn2fbP4G+XeTCDtw\\u002fo\\u002f8n\\u002fgC43D9aZERPo2PdP2mPq4AEEt4\\u002flNemkY7D3j8uYtNluHjfP8erqVIBGeA\\u002fhZaEBPp34D\\u002fi+cCZitngPye\\u002fSh72PeE\\u002fbFK+DHyl4T8QNIEGVhDiP4VCt6W1fuI\\u002fjrTsfcLw4j\\u002fNN25emGbjP5j\\u002fmuZF4OM\\u002f38Uhectd5D9QyTuXGt\\u002fkP8iXx6gVZOU\\u002fDSbUMZDs5T\\u002fBUO9xT3jmP194k2ULB+c\\u002f5wmMHnCY5z+EZj9lHyzoP\\u002f73m5Kyweg\\u002fnbACkbxY6T+rE\\u002fzxy\\u002fDpP+KBzAZtieo\\u002fiT4M6ysi6z+fCilylrrrP+04C+s9Uuw\\u002f7ifZr7jo7D9JCNh6o33tP76Zg3yiEO4\\u002fYX38MWKh7j\\u002f4B7X9ly\\u002fvP+GDq4YCu+8\\u002fgug08rQh8D9WkqzPT2TwPxFE2UY\\u002fpfA\\u002fxmG4SnXk8D\\u002fyu5ct6CHxP7aNc3KSXfE\\u002fcfkHm3KX8T\\u002foToP0is\\u002fxP7yK22PhBfI\\u002fRT3eMX868j+30TjWcG3yP5f4AMDFnvI\\u002fIjfAGZDO8j8vUb2G5PzyP3lAOdfZKfM\\u002fxvOVsYhV8z8CiOAuC4DzPxTW92l8qfM\\u002fJG93AfjR8z8dRZ+NmfnzPytFjwx8IPQ\\u002fmXNISLlG9D\\u002fjeOY6aWz0P+OkWXahkfQ\\u002fwsqAlXS29D+Hr8288dr0P7HekzAk\\u002f\\u002fQ\\u002f5C67BhMj9T8hB834wEb1P\\u002fr6OlosavU\\u002fKHBZNU+N9T8mcemPH7D1P4SJRdaP0vU\\u002f1qdtao\\u002f09T+gnF5SCxb2P7yQdP\\u002fuNvY\\u002f7pQlJyVX9j95ykCkmHb2PyOUIlc1lfY\\u002fPfgE++iy9j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TeiHNA3WP0ldpq7T9tU\\u002fBB\\u002fo1Xnf1T\\u002fYnlH2FMfVPywTAwebrdU\\u002fMHVsxgqT1T\\u002feSnkzbHfVP\\u002ffLe7LQWtU\\u002fh\\u002fK13FI91T+WgtD8FR\\u002fVP9Fc1D1FANU\\u002fMm4tlRLh1D8rCMFytcHUPxFiGkRpotQ\\u002faLcN2WuD1D9TEeu4+2TUP6OQa3dWR9Q\\u002faTH1F7cq1D92AK+MVA\\u002fUP0J4Pl1g9dM\\u002fKDH\\u002ffgXd0z\\u002fJ6zRmZ8bTP8rtO1WhsdM\\u002fttYz7MWe0z+zXyv53o3TPzMsi4btftM\\u002f5it6I+px0z8xZklgxWbTP7T8q3doXdM\\u002fpGehHLZV0z\\u002f094Nki0\\u002fTPyNpn8TAStM\\u002fBZgAGytH0z\\u002fH78m6nETTPzxzLnXmQtM\\u002fTDo0mdhB0z\\u002fMHXPlQ0HTP7gcGmj6QNM\\u002fRruMStBA0z\\u002fBDNOGnEDTPwrK2IU5QNM\\u002f730LpoU\\u002f0z8MhkuqYz7TP7fNWRG7PNM\\u002fkBH7VXg60z+Cs\\u002foXjTfTPzOpFi7wM9M\\u002fsTG5oJ0v0z+3VUmNlirTPzR61fHgJNM\\u002f9Df2YIce0z8jEguemBfTPyKxYiInENM\\u002fQel8jEgI0z+qpFn7FADTPwL4q1im99I\\u002fS5C\\u002flRfv0j\\u002fuT9jfg+bSP2QgvtEF3tI\\u002f8lLuqLbV0j\\u002fRMH2Frc3SPwbV+7v+xdI\\u002fsEOpQLu+0j+vHccy8LfSP7moFI6msdI\\u002fyHI2B+Or0j+RPzQWpqbSP5BaRzDsodI\\u002feS8EMK6d0j+XEJTo4ZnSP8yxVN56ltI\\u002f+5DqHGuT0j8jLsQgpJDSP\\u002f0kV8gXjtI\\u002f6yMlQLmL0j95ZPDbfYnSPxaqis9dh9I\\u002f2klkulSF0j\\u002f04Xb6YYPSP28TVL2IgdI\\u002fUo\\u002f0yM9\\u002f0j+MBEb5QH7SP2OnRHPofNI\\u002fJdN8ktN70j8RF\\u002fKZD3vSPx8EZjWoetI\\u002fJteb26V60j8REUklDHvSP\\u002fNxtC7Ye9I\\u002fC0ppG\\u002f980j99bLrTbH7SP0oz\\u002fxIDgNI\\u002f\\u002fQV025iB0j++7nph+oLSP+wgs3vpg9I\\u002fK7whoB6E0j86OKJwSoPSP03HRdIXgdI\\u002fkZ10hC590j\\u002f7vtclNnfSPwDpno7ZbtI\\u002fOe3tYcpj0j83Xm2zxFXSP3R4apqSRNI\\u002fzHLdiQ8w0j8gZEFEKxjSP884gkPs\\u002fNE\\u002fy1dtcHHe0T890\\u002f0J87zRP5rlbaPCmNE\\u002f54T5J0py0T+83GrcCUrRPwkhi2CVINE\\u002f2xIFvY\\u002f20D\\u002fwPL6UpszQP+dbt5qMo9A\\u002fv6mydvN70D\\u002flL8RKhVbQP4MqKxLeM9A\\u002fTuUQFoUU0D9aFJJtzfHPPxnBjY+dws8\\u002f3NIxc8ebzz\\u002fy\\u002fdGPRX3PP90qu7O6Zs8\\u002f7OEKc29Xzz\\u002fhzAx3Uk7PP0QqBcf7Sc8\\u002fPIoPCLNIzz8+GtCVeEjPP3f9OzoRR88\\u002f0yzNMBRCzz9pQiAK+zbPP0a8OPEyI88\\u002fRwZUxC4Ezz8X6ftoedfOPx8jar7Hms4\\u002fXsuMkglMzj9xVB0FeenNP0QTDdGncc0\\u002fN8GYBorjzD\\u002fPoPfWfT7MP36f+CxQgss\\u002fdm716j2vyj8BgzDF8cXJPzBrxM5+x8g\\u002fSaGI7Ve1xz9xP4mFRJHGP5wnx8VSXcU\\u002fZBfxFMgbxD+YTNIsEM\\u002fCP7IQs32recE\\u002fXjp3dx0ewD9g6oKptn29P3h8xfl3vLo\\u002fGQ17CNP8tz+p8i6BqUK1P5KwyKBWkbI\\u002f80VOaUHXrz+Xg7e5YKeqP5jrCFQblqU\\u002f7UjN6kWloD89r7JqFKuXPxnXtUEEmow\\u002fzKHE9Ka2dD83ahG2WLltv1pavFLFzYi\\u002fypPA2rLnlL9HMcuLP0Cdv8oG0e6du6K\\u002fN6WQ+4jJpr8s40FNysyqv3zJF6Xex66\\u002fxq\\u002fHRV5esb9jlFZfYVazv2xs83xXTLW\\u002fPJg5hU5At7\\u002fHnFjjBjK5v5n9jpX6ILu\\u002fHkYxS2cMvb\\u002fLsqbxWvO+vzJjT\\u002f1gasC\\u002foNfDTLtXwb9QUKMZKEHCv5BDnyAZJsO\\u002fOLih+wwGxL9V9CIJleDEv38qBSlatcW\\u002fMXPRICCExr8zoHaLx0zHv32BnUtOD8i\\u002fFIheis7LyL+mhMJdfILJvwmjLkKiM8q\\u002fng76npzfyr9dEWWY1IbLvxAPm3e6Kcy\\u002f2Bgd9L\\u002fIzL\\u002fK0eOoUmTNv5A63frW\\u002fM2\\u002fZYJ5rqOSzr\\u002fufztf\\u002fiXPv+EVUP8Yt8+\\u002fjqteOwgj0L+9iEM1dmnQv\\u002fnZexLQrtC\\u002fnVHpRAbz0L\\u002fzESF6ATbRv31JuWikd9G\\u002fyzE+4c230b9\\u002fRGwFW\\u002fbRvxVXKYcpM9K\\u002fIgkm0Rlu0r8HTgX9EKfSvx5\\u002fPn763dK\\u002fadxzbckS078AFmpleUXTvx434egOdtO\\u002fPEnxTpek079iMug5KNHTv9epp6Le+9O\\u002fBc3ch90k1L8hEtxUTEzUv2RoPhdVctS\\u002fvFhpnCKX1L9+Ut+Q3rrUvz2GjLqv3dS\\u002fXThPZbj\\u002f1L9Wl9gVFSHVv6EZ5JLbQdW\\u002f9KniTxpi1b\\u002fK79g+2IHVv56fngkVodW\\u002f9DMzrcm\\u002f1b9qj8Ns6d3Vv2tzhg1j+9W\\u002fgYT8SCIY1r8DhJBgETTWv4SuK7waT9a\\u002f8iwffSpp1r9mLcTvL4LWv+JoVsgemta\\u002f54qvGvCw1r+bEX8Ao8bWv8tXKeY829a\\u002fD75he8nu1r9TkpNJWgHXv7le\\u002f\\u002fYFE9e\\u002fwNvVQecj1794tFTCGzTXv0MCy4XCQ9e\\u002fE1hPlvpS17\\u002ftq8CD4WHXv6KWXgKScNe\\u002f5IzjsSJ\\u002f178zzKodpY3Xv0vrLgMlnNe\\u002fRtRD6Keq178fng4GLbnXv+U8JImtx9e\\u002fprekIh3W178y+tnhauTXv9mnEUqC8te\\u002f1ntLlUwA2L8pwxISsg3Yv\\u002f9NjombGti\\u002fS1yOmvMm2L921yT3pzLYv8vPFHSqPdi\\u002fjIMI3PFH2L+dLNt7elHYvy2pLWFGWti\\u002fTeu7SF1i2L\\u002fL6EE+zGnYv8KJ9fOkcNi\\u002f9BF22\\u002fx22L+HR1wN7HzYv4rWJA+Mgti\\u002fdzLeiPaH2L8hwL78Q43Yv4TghpKKkti\\u002fwa9ZB92X2L91YJnQSZ3Yv8S2b33aoti\\u002fjnYpX5Oo2L9UEJ58c67Yv4F6utB0tNi\\u002fM4Qo0Iy62L81HywurcDYvxCSY9XExti\\u002fmD1NBsHM2L\\u002fcrHOLjtLYvzQWAvIa2Ni\\u002fi\\u002fBWtVXd2L\\u002f5VfFMMeLYv\\u002fbvxA2k5ti\\u002fS\\u002fJ+0qjq2L+n4XFhP+7Yv9zyiIps8di\\u002fg1ub+zn02L8viITNtfbYv+hyT9Dx+Ni\\u002fE95SoAL72L8inyCR\\u002fvzYv\\u002f2XeX38\\u002fti\\u002ftpbyjBIB2b\\u002fHtocAVQPZv2Fg\\u002fBbVBdm\\u002fPgebGKAI2b9ZdMOXvgvZv+6l1vAzD9m\\u002fyS6cEP4S2b9ih2aEFRfZv2JYN9NtG9m\\u002f7UsqG\\u002fYf2b+Gu7PqmSTZv\\u002fRr\\u002fElCKdm\\u002fFesB5tYt2b9Ru0hNPzLZv30m9CxkNtm\\u002fswwNfTA62b+aD6aLkj3ZvzbhU9h8QNm\\u002fzbYDtOZC2b88W3SczETZv0R1S04wRtm\\u002fCu+8jBhH2b8HxMahkEfZv9mV552nR9m\\u002fxS28YW9H2b9waOZ++0bZv3+P3f9fRtm\\u002fJmmtJ7BF2b8UfCI7\\u002fUTZv8wraGRVRNm\\u002fDIS2wMJD2b8hyWylSkPZv0sE+ibtQtm\\u002f79Zm6KRC2b\\u002ft9GQ2Z0LZv2M0r2wkQtm\\u002fBgt6oMhB2b\\u002fW3e+GPEHZv0VRa4tmQNm\\u002fut6BBiw\\u002f2b+RXx+Fcj3Zv\\u002f3wCQ4hO9m\\u002fRvsxVCE42b9IajTFYDTZv3YMYGXRL9m\\u002fjrxIbWoq2b+ENlagKCTZv8G2mlcOHdm\\u002f0UphQCMV2b\\u002fhmhPScwzZv56FGIMQA9m\\u00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ZPqJLFrD\\u002fxFZkJD2GuPzK9stR8\\u002fq8\\u002fTKGM3MjOsD8erJNHEZ+xP4tl4vgTcLI\\u002fjzjCR+BBsz8PY12KmBS0P9YeBdpw6LQ\\u002fSDQyu6y9tT\\u002f5ZkPOm5S2PzacUbyVbbc\\u002fOajEnvVIuD8esv8nFSe5Py8pEddHCLo\\u002f\\u002fIOcf9bsuj8Tqz5q+9S7P2anwkjfwLw\\u002fsMweLZewvT\\u002fXqRmjI6S+P59qgPtwm78\\u002fdjQAYyxLwD8HkYEyUsrAP705MksIS8E\\u002fJP253ijNwT\\u002ff5qBXjFDCP0nIM90L1cI\\u002f9F\\u002fjz4Nawz+7FScZ1uDDPyx7XizsZ8Q\\u002fUEGimrjvxD8K4a0hOHjFP+pWrCVyAcY\\u002fD49MjniLxj9cDpcIZxbHP1guCLhhosc\\u002fcujqaZMvyD9klFllK77IP87lNPhaTsk\\u002fjyB05VLgyT\\u002f51CzbQHTKP7bacxZNCss\\u002fN5vEWJiiyz8IlQ9OOj3MP4oELXxA2sw\\u002fb\\u002f2PzK15zT+mzyq4ehvOP4lUARSWv84\\u002foKFzc+Zlzz8hxzMGJgfQP4Y204BRXNA\\u002fc1K++GKy0D+ynyVRSAnRP6XMRlLxYNE\\u002feJj+4FC50T\\u002f8mv8JXhLSP8lGItAUbNI\\u002fZ\\u002fWesHbG0j8kdi7UiiHTP\\u002ftIzehdfdM\\u002f5ATtpAHa0z8GjPT5izfUP0F9vwAWltQ\\u002fto0Pr7r11D8S91VolVbVP+6aqX7AuNU\\u002faJz\\u002fuVMc1j\\u002fFPrj7YoHWP2IrQxP959Y\\u002foN8R1ipQ1z9AL2SJ7rnXP5R\\u002f4adDJdg\\u002fFf2nBx+S2D\\u002fF+cpfbwDZP215cyYecNk\\u002f7htNuxDh2T+0we\\u002fMKVPaP7nT1uNKxto\\u002fa95y+lU62z+3tysIL6\\u002fbP\\u002fL54WS9JNw\\u002fXQq06+ya3D8Ph3bGrhHdP7GtVs\\u002f5iN0\\u002fg4pQe8oA3j+uyUJGInneP6cGKaAG8t4\\u002f9m8LYn9r3z\\u002fm4iHYlOXfP95pkbomMOA\\u002fTJgwpNVt4D+dWXOq1KvgP4D+bnUc6uA\\u002fQ1cXk58o4T+0bYNaSWfhPzsBlAP9peE\\u002fDQacAZXk4T+Qbxqt4iLiP7rbWUWuYOI\\u002fcqwLT7ed4j96U91QtdniP9yfyepYFOM\\u002fG9G4QE1N4z+AHRWtOYTjP6KDf6zDuOM\\u002fRE328JDq4z\\u002fzSaiISRnkP2DXeAOaROQ\\u002fovXxgTVs5D8P9g+Z14\\u002fkPykB7\\u002fdFr+Q\\u002fuF\\u002fbvlHK5D9IKX162ODkP1V5qLnE8uQ\\u002f6hSXOA4A5T\\u002f828SguQjlP+heIOHXDOU\\u002fWmKHJoUM5T+poWmA5wflP\\u002fV2vUAt\\u002f+Q\\u002fCk4MKYvy5D8RICN4OuLkP3tP0+x2zuQ\\u002fjAYj0ny35D+1EVYoh53kP3ybaPzNgOQ\\u002fleEF\\u002fYRh5D+aedhY2j\\u002fkPzV9ce71G+Q\\u002fOkIe0vj14z9ezgkq\\u002fc3jP9iwKF0WpOM\\u002fsJbZjVF44z+2VgRWtkrjP3RE97dHG+M\\u002fmvhpNQXq4j9jrfb867biPw4ADx74geI\\u002fXmnrsyVL4j+7Uyn5cRLiP1zHpDfc1+E\\u002frBB7imab4T83kOhqFl3hP4EltgP1HOE\\u002foa0BSg\\u002fb4D\\u002fMeDDddZfgPx1rpLI8UuA\\u002flwE7lHoL4D80ryn1kIbfPxy4H5uB894\\u002fi+ViLP1d3j8F2udaOcbdP9gbEOZpLN0\\u002fZe5WLL+Q3D85HpXyZPPbP6IMsG6BVNs\\u002f8ypknzS02j\\u002frl2n2lxLaP0oHslW+b9k\\u002fMsYuXLTL2D8bj6T6gCbYP2zNwEUmgNc\\u002fZmkOeKLY1j\\u002f4pqgU8S\\u002fWPwChrRoMhtU\\u002fYPx2Oe3a1D\\u002fvsnn2ji7UP2VRRbftgNM\\u002f6nlOpAjS0j+N0ddb4iHSP2FQO2+BcNE\\u002fh2Dep\\u002fC90D8iwBAUPwrQP0vwn73\\u002fqs4\\u002ffY2J75M\\u002fzT+PhmQlb9LLP+rtyw3LY8o\\u002fmgf5L+XzyD8TYQJj\\u002fYLHP5p+ND1UEcY\\u002feipVjCmfxD+\\u002fqlbluizDP9KPNFdCusE\\u002f4KOlSfVHwD+tP3UaB6y9P7JsPz8tybo\\u002f1LRuSKLntz\\u002fpkJUenQe1PzTGXQFGKbI\\u002fPAAEKG2Zrj9AqP1x9OOoP0MFm2sdMqM\\u002fFc8yZJQHmz9Pzvn7FmOPPwRw72U1hnE\\u002fe955S2yke7\\u002f5vYiTPS+Sv806dDq8cZ2\\u002f93v\\u002f7sBYpL9l4gLOu\\u002fepv17zxLs8lq+\\u002f2xWvjlKasr8qIo+3oWm1v8NC3HMmObi\\u002fO+RMousIu7+ivlyC6di9v\\u002fseNZiBVMC\\u002fWDiaVYK8wb8uNT7HUCTDv0TqjVa6i8S\\u002frJ9OWIDyxb8LIJPuWFjHv+QLLYfwvMi\\u002fy3aA+usfyr97WhBH64DLvz+ltt2M38y\\u002f9wClaXE7zr9GeXb2P5TPvySdISfVdNC\\u002fLhwosbgd0b+3pY3FtMTRvy2uTjS\\u002fadK\\u002fEzgFFdsM07\\u002fYiLICGq7Tvyg6itWcTdS\\u002fRnsuxJPr1L8JboPaPYjVv+NjM7rnI9a\\u002fFuP8n+m+1r\\u002fMmqqwpFnXv+1x05h\\u002f9Ne\\u002fmJDZkuKP2L\\u002fC+K\\u002fuMizZvx9MUj7Oydm\\u002fsRAwUAVp2r8tcrolFwrbv2Q4fBcsrdu\\u002f8J5rWVFS3L\\u002fEx1URdfncvxj2Sy5jot2\\u002fEe3kKsNM3r8wghPdFvjev8ctgm26o9+\\u002fvhgSw3In4L\\u002fYpzLeVnzgv2fRwhcF0OC\\u002fCUvfI+wh4b8Tq6W7cHHhv\\u002fjJ7enwveG\\u002fJVfmqscG4r\\u002fclZfBUEviv1PruqPsiuK\\u002fPTj5WgTF4r8OTpA6Dfniv\\u002f4bnkmMJuO\\u002fJIDURBlN47+sbQoeYWzjvyYx2OQnhOO\\u002fJu36CEqU478GKWPtvJzjv\\u002fOtUMmOneO\\u002fwzls2+WW47+hYCb5\\u002fojjv4qKfYordOO\\u002f1mNsB89Y479lJHAQXDfjvynGpz5REOO\\u002ftdXkyTXk4r\\u002fbp5QjlrPivyA4raQAf+K\\u002flJDSagJH4r9EStV9JAzivz8LolLpzuG\\u002fPv3wu8qP4b+6E7dTOE\\u002fhvzGQymKWDeG\\u002f40WbRj3L4L+e8I5PeYjgvwI1vw2LReC\\u002f59S2\\u002facC4L+1QRMH93\\u002ffv498vEBQ+96\\u002fE7aYmpF33r8M5aPM5PTdv1l6GyJqc92\\u002fdkmbGTvz3L8R42i4bHTcv8b+LHgR99u\\u002fhx3\\u002fvTp7278+R8nR+QDbv+5dN1VgiNq\\u002fKlUwQYAR2r\\u002fZe9l3a5zZvwEtBP8yKdm\\u002f1r1d++W32L9eipaHkEjYv8QQ3YM629e\\u002fWrl6eeZv17+1pC6skAbXv6YiO28un9a\\u002fNjI7z6051r+8CQ2c9dXVv9Onxtflc9W\\u002fDk8hiVgT1b\\u002fCw3DpIrTUvxnfbuAWVtS\\u002f1cw1uwT507\\u002ftlPcHvZzTvw+ki30SQdO\\u002fdU\\u002fq1Nvl0r9iCS179YrSv5rpnARDMNK\\u002fw4egTLDV0b\\u002fco8MyMnvRv6fyXOrGING\\u002frB0z2HXG0L8g4pz\\u002fTmzQvzLtmQZqEtC\\u002fvUzru8lxz7\\u002fx9Lg+xL\\u002fOv7weSW4OD86\\u002fpb9f5PRfzb\\u002fitTkTwrLMv2ZJyIu6B8y\\u002ft1wUoxlfy78iM5OhDrnKvz9Ncp+6Fcq\\u002fbEdMJy91yb+U1N+tbdfIvw5S3uFnPMi\\u002fFkBbywCkx78kQnKnDg7HvzU49WJdesa\\u002fb3nkjrHoxb97xYOjy1jFv03aW2NrysS\\u002fRoGMLlM9xL9NZYIYS7HDv+9bT5YjJsO\\u002fk8xIorebwr+emM057hHCvyyasSO7iMG\\u002fMq48+B4Awb9pY1huJnjAv1t\\u002ftPfR4b+\\u002fvTOAwA3Vvr9A2ltyTcq9v\\u002fYLOIzlwby\\u002flGgwCSy8u7\\u002fnOCagcrm6v2iDuF4Burm\\u002fMR1+7RG+uL9+XLrAy8W3v7ahcmpB0ba\\u002fxb+oMW\\u002fgtb99Non\\u002fOvO0v0FwqJ91CbS\\u002f1xYUPd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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "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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   "cell_type": "markdown",
   "id": "372abf7b-cdc8-4fbb-b9fc-8b870e17b4e6",
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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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