{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "5c1211ad",
   "metadata": {},
   "source": [
    "# Ultra-high-Q resonances in plasmonic metasurfaces\n",
    "\n",
    "**Author: Yiqi Xu, University of Illinois Urbana-Champaign**\n",
    "\n",
    "This notebook recreates the simulations in M. S. Bin-Alam, O. Reshef *et al.*, \"Ultra-high-*Q* resonances in plasmonic metasurfaces\", *Nat. Commun.* 12, 974 (2021) [DOI:10.1038/s41467-021-21196-2](https://doi.org/10.1038/s41467-021-21196-2).\n",
    "\n",
    "The paper studies a rectangular array of gold blocks ($L_x \\times L_y \\times t$ = 130 × 200 × 20 nm³) embedded in silica, with lattice constants $P_x$ = 500 nm and $P_y$ = 1060 nm, under $x$-polarized light. Its transmission shows a localized surface plasmon resonance (**LSPR**) near 830 nm and a **surface lattice resonance (SLR)** near 1550 nm, close to the Rayleigh anomaly at $\\lambda \\approx n P_y \\approx 1539$ nm. The paper reports a measured $Q = 2340$.\n",
    "\n",
    "The notebook has two parts:\n",
    "\n",
    "| Paper figure | What it shows | How it is computed here | Cost |\n",
    "|---|---|---|---|\n",
    "| Fig. 1b | FDTD transmission of the infinite array, LSPR and SLR | **Part A**: Tidy3D, one periodic unit cell | FlexCredits |\n",
    "| Fig. 1b insets | $\\lvert E\\rvert$ in the plane of the particles at the LSPR and the SLR | Part A, same run | – |\n",
    "| Supp. S3 | SLR vs particle width | Part A, batch of 7 unit cells | ~7× the single run |\n",
    "| Fig. 1d (red curve) | Semi-analytic spectrum of the 600 × 600 µm² device | **Part B**: lattice sum approach (LSA), NumPy | ~30 s on a laptop |\n",
    "| Fig. 2a–d | SLR vs particle polarizability | Part B | ~1 min |\n",
    "| Fig. 3a,b (LSA) | *Q* vs array size | Part B, with the measured *Q* values overlaid | ~2 min |\n",
    "\n",
    "Part B needs no Tidy3D account. Running Part A submits the FDTD jobs to the Tidy3D cloud and spends FlexCredits (estimated maximum: about 1.7 for the unit cell and 12 for the width sweep). The experimental panels (Fig. 1c SEM image, measured spectra) are not simulated. The measured *Q* values in Fig. 3b are overlaid as read from the paper's figure.\n",
    "\n",
    "<img src=\"img/gold_block_array.png\" width=500, alt=\"Illustration of gold block array\">"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "17550682",
   "metadata": {},
   "source": [
    "## Imports and Helper"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e70f6ccf",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import time\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import tidy3d as td\n",
    "from scipy.optimize import curve_fit\n",
    "from scipy.signal import find_peaks\n",
    "from tidy3d import web\n",
    "from tidy3d.plugins.resonance import ResonanceFinder\n",
    "\n",
    "td.config.local_cache.enabled = False\n",
    "td.config.web.enable_caching = False"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9d2597f2",
   "metadata": {},
   "source": [
    "### A Shared Helper: Fitting the SLR Line\n",
    "\n",
    "The paper extracts *Q* from a Lorentzian fit of the transmission dip (Supplementary S1). We fit an asymmetric Lorentzian on a linear background (the asymmetry term absorbs the Fano shape), and report $Q = \\lambda_0 / \\Delta\\lambda$. With strong coupling a second, redder dip from the finite array can appear. The fit always takes the bluest clear dip, which is the SLR."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "1722bfee",
   "metadata": {},
   "outputs": [],
   "source": [
    "def _dip(x, x0, w, a, b, c, d):\n",
    "    \"\"\"Asymmetric Lorentzian dip on a linear background (c = Fano asymmetry).\"\"\"\n",
    "    e = 2 * (x - x0) / w\n",
    "    return b + d * (x - x0) - (a + c * e) / (1 + e * e)\n",
    "\n",
    "\n",
    "def fit_lorentz(lam, T, n_widths=6):\n",
    "    \"\"\"Fit the bluest clear dip in T(lam) (the SLR; with strong coupling a second, redder\n",
    "    finite-array dip can appear and is ignored). Returns dict(lam0, fwhm, Q, depth, curve).\"\"\"\n",
    "    dips, _ = find_peaks(-T, prominence=0.1 * np.ptp(T))\n",
    "    if len(dips) == 0:\n",
    "        dips = [int(np.argmin(T))]\n",
    "    i = int(dips[0])\n",
    "    others = lam[list(dips[1:])]\n",
    "    lim = (\n",
    "        0.5 * np.min(np.abs(others - lam[i])) if len(others) else np.inf\n",
    "    )  # stay clear of other dips\n",
    "    base = np.median(T)\n",
    "    half = 0.5 * (base + T[i])\n",
    "    lo, hi = i, i\n",
    "    while lo > 0 and T[lo] < half:\n",
    "        lo -= 1\n",
    "    while hi < len(T) - 1 and T[hi] < half:\n",
    "        hi += 1\n",
    "    w0 = max(lam[hi] - lam[lo], 2 * np.median(np.diff(lam)))\n",
    "    best = None\n",
    "    for _ in range(2):  # fit, re-center the window, fit again\n",
    "        m = np.abs(lam - lam[i]) < min(n_widths * w0, lim)\n",
    "        if m.sum() < 10:\n",
    "            return best\n",
    "        try:\n",
    "            p, _ = curve_fit(\n",
    "                _dip,\n",
    "                lam[m],\n",
    "                T[m],\n",
    "                p0=[lam[i], w0, base - T[i], base, 0, 0],\n",
    "                maxfev=40000,\n",
    "            )\n",
    "        except RuntimeError:\n",
    "            return best\n",
    "        x0, w = p[0], abs(p[1])\n",
    "        best = {\n",
    "            \"lam0\": x0,\n",
    "            \"fwhm\": w,\n",
    "            \"Q\": x0 / w,\n",
    "            \"depth\": float(T[m].max() - T[m].min()),\n",
    "            \"curve\": (lam[m], _dip(lam[m], *p)),\n",
    "        }\n",
    "        i, w0 = int(np.argmin(np.abs(lam - x0))), w\n",
    "    return best"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ca3567a5",
   "metadata": {},
   "source": [
    "## Part A — Full-Wave FDTD of the Infinite Array (Fig. 1b)\n",
    "\n",
    "### Simulation Choices\n",
    "\n",
    "* **One unit cell, periodic in $x$ and $y$**, normal incidence, $E \\parallel x$. This models an infinite array under a collimated plane wave.\n",
    "* **Homogeneous silica**, $n$ = 1.452. The background is lossless: no artificial absorption is added.\n",
    "* **Johnson & Christy gold.** The 0.2 nm Cr adhesion layer is too thin to mesh and is left out.\n",
    "* **Symmetry** `(-1, 1, 0)`: an $x$-polarized normal-incidence wave is odd (PEC-like) about $x = 0$ and even (PMC-like) about $y = 0$. Only a quarter of the cell is simulated.\n",
    "* **Run time.** A line of quality factor $Q$ rings down as $e^{-\\pi f t / Q}$, so the run must last several $Q / \\pi f$. At *Q* ~ 5000, that is about 50 ps. The automatic shutoff ends the run earlier once the fields have decayed.\n",
    "* **Monitors**: broadband and fine-window flux for $T$ and $R$; a point time-monitor next to the particle for harmonic inversion (an independent *Q*); and an $x$–$y$ field monitor through the particle at candidate LSPR and SLR wavelengths for the Fig. 1b insets."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "badd0e14",
   "metadata": {},
   "outputs": [],
   "source": [
    "# ---- geometry (Fig. 1a and Methods, \"Device details\") --------------------------------------\n",
    "LX, LY, T_AU = 130.0, 200.0, 20.0  # nm, gold block: Lx along E (x), Ly, thickness t\n",
    "PX, PY = 500.0, 1060.0  # nm, lattice constants\n",
    "\n",
    "# ---- materials ----------------------------------------------------------------------------\n",
    "N_FDTD = 1.452  # homogeneous silica background (same index as the LSA)\n",
    "GOLD = (\"Au\", \"JohnsonChristy1972\")  # Johnson & Christy gold (ref. 57 of the paper)\n",
    "\n",
    "# ---- spectral windows ---------------------------------------------------------------------\n",
    "LAM_MIN, LAM_MAX = (\n",
    "    700.0,\n",
    "    1700.0,\n",
    ")  # nm, source bandwidth and broadband monitors (2 nm steps)\n",
    "SLR_WIN = (1537.0, 1557.0)  # nm, fine window around the SLR (0.02 nm steps)\n",
    "LSPR_WIN = (800.0, 950.0)  # nm, window searched for the LSPR field map\n",
    "\n",
    "# ---- run length / resolution --------------------------------------------------------------\n",
    "Q_TARGET = 5000  # run long enough for a line of this Q to ring down\n",
    "N_DECAY = 6  # ... by this many 1/e amplitude lifetimes\n",
    "PROBE_EVERY = 100  # store every 100th step of the ring-down probe: the full\n",
    "# 7e6-step trace needs > 20 GB of RAM in ResonanceFinder\n",
    "MESH_XY, MESH_Z = 5.0, 2.5  # nm, mesh inside the gold block\n",
    "Z_HALF = 4.0  # um, half height of the domain (the SLR's evanescent\n",
    "# diffraction orders reach ~2 um above and below the array)\n",
    "\n",
    "FDTD_FILE = \"data/binalam2021_unit_cell.hdf5\"\n",
    "os.makedirs(\"data\", exist_ok=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f03dab2",
   "metadata": {},
   "source": [
    "### Build the Simulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "944ea9f3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "run time 49.3 ps, 7.31e+06 time steps, 1.86e+06 grid cells (before symmetry)\n",
      "Rayleigh anomaly (0, +-1): n Py = 1539.1 nm;  (+-1, 0): n Px = 726.0 nm\n",
      "probe: every 100 steps, 73140 samples, Nyquist 742 THz (source up to 428 THz)\n"
     ]
    }
   ],
   "source": [
    "nm = 1e-3  # Tidy3D lengths are in um\n",
    "\n",
    "freqs_coarse = td.C_0 / (np.linspace(LAM_MIN, LAM_MAX, 501) * nm)\n",
    "freqs_slr = td.C_0 / (np.arange(SLR_WIN[0], SLR_WIN[1] + 1e-9, 0.02) * nm)\n",
    "freqs_map = np.r_[\n",
    "    td.C_0 / (np.arange(*LSPR_WIN, 5.0) * nm),  # LSPR candidates\n",
    "    td.C_0 / (np.arange(SLR_WIN[0], SLR_WIN[1] + 1e-9, 0.1) * nm),\n",
    "]  # SLR candidates\n",
    "f_min, f_max = td.C_0 / (LAM_MAX * nm), td.C_0 / (LAM_MIN * nm)\n",
    "f0, fwidth = 0.5 * (f_min + f_max), 0.5 * (f_max - f_min)\n",
    "f_slr = td.C_0 / (np.mean(SLR_WIN) * nm)\n",
    "\n",
    "gold = td.material_library[GOLD[0]][GOLD[1]]\n",
    "silica = td.Medium(permittivity=N_FDTD**2, name=\"silica\")\n",
    "\n",
    "run_time = N_DECAY * Q_TARGET / (np.pi * f_slr)  # amplitude ~ exp(-pi f t / Q)\n",
    "z_src, z_t, z_r = -0.5 * Z_HALF, 0.5 * Z_HALF, -0.6 * Z_HALF\n",
    "\n",
    "\n",
    "def make_sim(lx=LX, ly=LY, field_maps=True):\n",
    "    particle = td.Structure(\n",
    "        geometry=td.Box(center=(0, 0, 0), size=(lx * nm, ly * nm, T_AU * nm)),\n",
    "        medium=gold,\n",
    "        name=\"Au\",\n",
    "    )\n",
    "    refine = td.MeshOverrideStructure(\n",
    "        geometry=td.Box(\n",
    "            center=(0, 0, 0), size=((lx + 20) * nm, (ly + 20) * nm, (T_AU + 10) * nm)\n",
    "        ),\n",
    "        dl=(MESH_XY * nm, MESH_XY * nm, MESH_Z * nm),\n",
    "    )\n",
    "    source = td.PlaneWave(\n",
    "        center=(0, 0, z_src),\n",
    "        size=(td.inf, td.inf, 0),\n",
    "        direction=\"+\",\n",
    "        pol_angle=0,  # E along x\n",
    "        source_time=td.GaussianPulse(freq0=f0, fwidth=fwidth),\n",
    "        name=\"pw\",\n",
    "    )\n",
    "    plane = {\"size\": (td.inf, td.inf, 0)}\n",
    "    monitors = [\n",
    "        td.FluxMonitor(center=(0, 0, z_t), freqs=list(freqs_coarse), name=\"T\", **plane),\n",
    "        td.FluxMonitor(\n",
    "            center=(0, 0, z_r),\n",
    "            freqs=list(freqs_coarse),\n",
    "            normal_dir=\"-\",\n",
    "            name=\"R\",\n",
    "            **plane,\n",
    "        ),\n",
    "        td.FluxMonitor(\n",
    "            center=(0, 0, z_t), freqs=list(freqs_slr), name=\"T_slr\", **plane\n",
    "        ),\n",
    "        td.FluxMonitor(\n",
    "            center=(0, 0, z_r),\n",
    "            freqs=list(freqs_slr),\n",
    "            normal_dir=\"-\",\n",
    "            name=\"R_slr\",\n",
    "            **plane,\n",
    "        ),\n",
    "        # time trace 5 nm off the particle edge, after the pulse, for harmonic inversion\n",
    "        td.FieldTimeMonitor(\n",
    "            center=((lx / 2 + 5) * nm, 0, 0),\n",
    "            size=(0, 0, 0),\n",
    "            fields=[\"Ex\"],\n",
    "            start=8 / (2 * np.pi * fwidth),\n",
    "            interval=PROBE_EVERY,\n",
    "            name=\"probe\",\n",
    "        ),\n",
    "    ]\n",
    "    if field_maps:  # Fig. 1b insets: |E| in the x-y plane bisecting the particle\n",
    "        monitors.append(\n",
    "            td.FieldMonitor(\n",
    "                center=(0, 0, 0),\n",
    "                size=(td.inf, td.inf, 0),\n",
    "                freqs=list(freqs_map),\n",
    "                fields=[\"Ex\", \"Ey\", \"Ez\"],\n",
    "                name=\"field_xy\",\n",
    "            )\n",
    "        )\n",
    "    return td.Simulation(\n",
    "        size=(PX * nm, PY * nm, 2 * Z_HALF),\n",
    "        medium=silica,\n",
    "        structures=[particle],\n",
    "        sources=[source],\n",
    "        monitors=monitors,\n",
    "        grid_spec=td.GridSpec.auto(\n",
    "            min_steps_per_wvl=20, wavelength=LAM_MIN * nm, override_structures=[refine]\n",
    "        ),\n",
    "        boundary_spec=td.BoundarySpec(\n",
    "            x=td.Boundary.periodic(),\n",
    "            y=td.Boundary.periodic(),\n",
    "            z=td.Boundary(minus=td.PML(num_layers=40), plus=td.PML(num_layers=40)),\n",
    "        ),\n",
    "        symmetry=(\n",
    "            -1,\n",
    "            1,\n",
    "            0,\n",
    "        ),  # x-polarized normal incidence: odd (PEC) in x, even (PMC) in y\n",
    "        run_time=run_time,\n",
    "        shutoff=1e-7,\n",
    "    )\n",
    "\n",
    "\n",
    "sim = make_sim()\n",
    "print(\n",
    "    f\"run time {run_time * 1e12:.1f} ps, {sim.num_time_steps:.2e} time steps, \"\n",
    "    f\"{np.prod(sim.grid.num_cells):.2e} grid cells (before symmetry)\"\n",
    ")\n",
    "print(\n",
    "    f\"Rayleigh anomaly (0, +-1): n Py = {N_FDTD * PY:.1f} nm;  (+-1, 0): n Px = {N_FDTD * PX:.1f} nm\"\n",
    ")\n",
    "f_nyq = 1 / (2 * PROBE_EVERY * sim.dt)\n",
    "print(\n",
    "    f\"probe: every {PROBE_EVERY} steps, {sim.num_time_steps // PROBE_EVERY:.0f} samples, \"\n",
    "    f\"Nyquist {f_nyq / 1e12:.0f} THz (source up to {f_max / 1e12:.0f} THz)\"\n",
    ")\n",
    "assert f_nyq > f_max, \"PROBE_EVERY is too large: the probe would alias the source band\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4d0f1f8a",
   "metadata": {},
   "source": [
    "### Check the Geometry and Mesh"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "543be93d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x420 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(\n",
    "    1, 3, figsize=(14, 4.2), gridspec_kw={\"width_ratios\": [1, 1.6, 1.6]}\n",
    ")\n",
    "sim.plot_structures(z=0, ax=ax[0])\n",
    "ax[0].set_title(\"unit cell, x-y at z = 0\")\n",
    "sim.plot(x=0, ax=ax[1], monitor_alpha=0.3)\n",
    "ax[1].set_aspect(\"auto\")\n",
    "ax[1].set_title(\"y-z: source (green), monitors, PML (grey);\\nshaded half = symmetry\")\n",
    "sim.plot_structures(y=0, ax=ax[2])\n",
    "sim.plot_grid(y=0, ax=ax[2], lw=0.3)\n",
    "ax[2].set_xlim(-0.1, 0.1)\n",
    "ax[2].set_ylim(-0.03, 0.03)\n",
    "ax[2].set_aspect(\"auto\")\n",
    "ax[2].set_title(\"x-z zoom on the 20 nm thick block, with the mesh\")\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b36bed21",
   "metadata": {},
   "source": [
    "### Run\n",
    "\n",
    "Submit the unit cell to the Tidy3D cloud, print the estimated maximum FlexCredit cost, run it, and save the data to `FDTD_FILE`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "12016508",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">20:24:30 KST </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation has </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7.31e+06</span><span style=\"color: #800000; text-decoration-color: #800000\"> time steps. The </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> may be </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">unnecessarily large, unless there are very long-lived resonances.  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m20:24:30 KST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation has \u001b[0m\u001b[1;36m7.31e+06\u001b[0m\u001b[31m time steps. The \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m may be \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31munnecessarily large, unless there are very long-lived resonances.  \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">20:24:35 KST </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.724</span>. This assumes the FDTD solver runs\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>for the full simulation time; if early shutoff is reached, the     \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>billed cost can be lower. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>billed FlexCredit cost after a simulation run.                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m20:24:35 KST\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m1.724\u001b[0m. This assumes the FDTD solver runs\n",
       "\u001b[2;36m             \u001b[0mfor the full simulation time; if early shutoff is reached, the     \n",
       "\u001b[2;36m             \u001b[0mbilled cost can be lower. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the  \n",
       "\u001b[2;36m             \u001b[0mbilled FlexCredit cost after a simulation run.                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "estimated maximum cost: 1.72 FlexCredits (the shutoff usually ends the run earlier)\n"
     ]
    }
   ],
   "source": [
    "job = web.Job(\n",
    "    simulation=sim,\n",
    "    task_name=\"binalam2021_unit_cell\",\n",
    "    folder_name=\"Bin-Alam 2021 high-Q SLR\",\n",
    "    verbose=False\n",
    ")\n",
    "print(\n",
    "    f\"estimated maximum cost: {job.estimate_cost():.2f} FlexCredits \"\n",
    "    \"(the shutoff usually ends the run earlier)\"\n",
    ")\n",
    "sim_data = job.run(path=FDTD_FILE)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "faf8d1b5",
   "metadata": {},
   "source": [
    "### Transmission Spectrum (Fig. 1b)\n",
    "\n",
    "On the red side of $nP_y$, only the zeroth diffraction order propagates. The total transmitted flux there is the zeroth-order transmittance measured through the pinhole in the experiment, so the SLR is fitted on that side."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "70a6ff5a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LSPR (T minimum): 852 nm\n",
      "SLR: 1542.35 nm, FWHM 0.257 nm, Q = 6011\n",
      "  !! Q > Q_TARGET: the run may truncate the ring-down; raise Q_TARGET and rerun.\n",
      "     Tidy3D refuses runs above 1e7 time steps (Q_TARGET ~ 6800 here): beyond that,\n",
      "     lower N_DECAY or use MESH_Z = 5 nm (the 2.5 nm z mesh sets the time step).\n"
     ]
    }
   ],
   "source": [
    "def flux_spectrum(data, name):\n",
    "    \"\"\"(wavelength nm ascending, |flux|) from a flux monitor (already normalized to the source).\"\"\"\n",
    "    f = np.asarray(data[name].flux.coords[\"f\"], float)\n",
    "    y = np.abs(np.asarray(data[name].flux, float))\n",
    "    o = np.argsort(td.C_0 / f)\n",
    "    return (td.C_0 / f / nm)[o], y[o]\n",
    "\n",
    "\n",
    "def fit_slr(lam, T):\n",
    "    \"\"\"Fit the SLR on the red side of the (0, +-1) Rayleigh anomaly, where only the zeroth\n",
    "    order propagates (so total T = zeroth-order T, as in the experiment).\"\"\"\n",
    "    m = lam > N_FDTD * PY + 0.2\n",
    "    return fit_lorentz(lam[m], T[m])\n",
    "\n",
    "\n",
    "lam_c, T_c = flux_spectrum(sim_data, \"T\")\n",
    "_, R_c = flux_spectrum(sim_data, \"R\")\n",
    "lam_s, T_s = flux_spectrum(sim_data, \"T_slr\")\n",
    "_, R_s = flux_spectrum(sim_data, \"R_slr\")\n",
    "\n",
    "fit_fdtd = fit_slr(lam_s, T_s)\n",
    "m = (lam_c > LSPR_WIN[0]) & (lam_c < LSPR_WIN[1])\n",
    "lam_lspr_fdtd = lam_c[m][np.argmin(T_c[m])]\n",
    "\n",
    "fig, ax = plt.subplots(1, 2, figsize=(12, 4))\n",
    "keep = (lam_c < SLR_WIN[0]) | (lam_c > SLR_WIN[1])\n",
    "lam_all = np.r_[lam_c[keep], lam_s]\n",
    "o = np.argsort(lam_all)\n",
    "ax[0].plot(\n",
    "    lam_all[o], np.r_[T_c[keep], T_s][o], color=\"tab:blue\", lw=1.2, label=\"FDTD, T\"\n",
    ")\n",
    "ax[0].set(\n",
    "    xlabel=\"wavelength (nm)\",\n",
    "    ylabel=\"transmittance\",\n",
    "    ylim=(0, 1.2),\n",
    "    title=\"Fig. 1b (FDTD)\",\n",
    ")\n",
    "ax[0].axvline(lam_lspr_fdtd, color=\"0.6\", ls=\":\", lw=0.8)\n",
    "ax[1].plot(lam_s, T_s, color=\"tab:blue\", label=\"T\")\n",
    "ax[1].plot(lam_s, R_s, color=\"tab:orange\", lw=0.8, label=\"R\")\n",
    "ax[1].axvline(N_FDTD * PY, color=\"0.6\", ls=\":\", lw=0.8)\n",
    "ax[1].plot(lam_s, 1 - R_s - T_s, color=\"tab:green\", lw=0.8, label=\"A = 1 - R - T\")\n",
    "if fit_fdtd:\n",
    "    ax[1].plot(\n",
    "        *fit_fdtd[\"curve\"],\n",
    "        \"r--\",\n",
    "        lw=1,\n",
    "        label=f\"Lorentzian fit, Q = {fit_fdtd['Q']:.0f}\",\n",
    "    )\n",
    "    ax[1].set_xlim(\n",
    "        fit_fdtd[\"lam0\"] - 15 * fit_fdtd[\"fwhm\"] - 1,\n",
    "        fit_fdtd[\"lam0\"] + 15 * fit_fdtd[\"fwhm\"] + 1,\n",
    "    )\n",
    "ax[1].set(xlabel=\"wavelength (nm)\", title=\"SLR zoom\")\n",
    "for a in ax:\n",
    "    a.legend(frameon=False, fontsize=8)\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "print(f\"LSPR (T minimum): {lam_lspr_fdtd:.0f} nm\")\n",
    "if fit_fdtd:\n",
    "    print(\n",
    "        f\"SLR: {fit_fdtd['lam0']:.2f} nm, FWHM {fit_fdtd['fwhm']:.3f} nm, Q = {fit_fdtd['Q']:.0f}\"\n",
    "    )\n",
    "    if fit_fdtd[\"Q\"] > Q_TARGET:\n",
    "        print(\n",
    "            \"  !! Q > Q_TARGET: the run may truncate the ring-down; raise Q_TARGET and rerun.\\n\"\n",
    "            \"     Tidy3D refuses runs above 1e7 time steps (Q_TARGET ~ 6800 here): beyond that,\\n\"\n",
    "            \"     lower N_DECAY or use MESH_Z = 5 nm (the 2.5 nm z mesh sets the time step).\"\n",
    "        )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c8a6ce1",
   "metadata": {},
   "source": [
    "### Independent *Q* from the Ring-Down\n",
    "\n",
    "[`ResonanceFinder`](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.resonance.ResonanceFinder.html#tidy3d.plugins.resonance.ResonanceFinder) runs harmonic inversion on the time signal recorded next to the particle after the source pulse. It returns each mode's frequency and *Q* without any line-shape model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "f7d8ffbf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              wavelength (nm)             Q  amplitude     error\n",
      "freq                                                            \n",
      "1.943798e+14      1542.302483    112.113359   0.590267  0.008711\n",
      "1.941534e+14      1544.101156   2715.250788   0.220784  0.000532\n",
      "1.942299e+14      1543.492765  14776.328526   0.069661  0.000403\n",
      "1.943852e+14      1542.259928    774.539813   0.024174  0.001712\n"
     ]
    }
   ],
   "source": [
    "finder = ResonanceFinder(\n",
    "    freq_window=(td.C_0 / (SLR_WIN[1] * nm), td.C_0 / (SLR_WIN[0] * nm))\n",
    ")\n",
    "modes = finder.run(signals=sim_data[\"probe\"]).to_dataframe()\n",
    "modes[\"wavelength (nm)\"] = td.C_0 / modes.index / nm\n",
    "modes = modes[(modes[\"Q\"] > 50) & (modes[\"error\"].abs() < 0.05)]\n",
    "print(\n",
    "    modes[[\"wavelength (nm)\", \"Q\", \"amplitude\", \"error\"]]\n",
    "    .sort_values(\"amplitude\", ascending=False)\n",
    "    .head()\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d2cadddd",
   "metadata": {},
   "source": [
    "### Field Profiles (Fig. 1b Insets)\n",
    "\n",
    "$\\lvert E / E_0 \\rvert$ in the $x$–$y$ plane that bisects the particle, at the LSPR and at the SLR. The color limits (15 and 45) are those of the paper."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "85618873",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def field_map(data, lam_nm):\n",
    "    d = data[\"field_xy\"]\n",
    "    f = float(d.Ex.coords[\"f\"].sel(f=td.C_0 / (lam_nm * nm), method=\"nearest\"))\n",
    "    e = np.sqrt(\n",
    "        sum(np.abs(getattr(d, c).sel(f=f).squeeze()) ** 2 for c in (\"Ex\", \"Ey\", \"Ez\"))\n",
    "    )\n",
    "    return td.C_0 / f / nm, e\n",
    "\n",
    "\n",
    "lam_slr_fdtd = fit_fdtd[\"lam0\"] if fit_fdtd else lam_s[np.argmin(T_s)]\n",
    "fig, ax = plt.subplots(1, 2, figsize=(8, 6))\n",
    "for a, lam_target, label, vmax in zip(\n",
    "    ax, [lam_lspr_fdtd, lam_slr_fdtd], [\"LSPR\", \"SLR\"], [15, 45]\n",
    "):\n",
    "    lam_used, e = field_map(sim_data, lam_target)\n",
    "    x, y = np.asarray(e.coords[\"x\"]) / nm, np.asarray(e.coords[\"y\"]) / nm\n",
    "    im = a.pcolormesh(\n",
    "        x,\n",
    "        y,\n",
    "        np.asarray(e.transpose(\"y\", \"x\")),\n",
    "        cmap=\"magma\",\n",
    "        vmin=0,\n",
    "        vmax=vmax,\n",
    "        shading=\"auto\",\n",
    "    )\n",
    "    a.set_aspect(\"equal\")\n",
    "    a.set(\n",
    "        xlabel=\"x (nm)\",\n",
    "        ylabel=\"y (nm)\",\n",
    "        title=f\"{label}, {lam_used:.2f} nm\\nmax |E/E0| = {float(e.max()):.0f}\",\n",
    "    )\n",
    "    plt.colorbar(im, ax=a, shrink=0.8, label=\"|E/E0|\")\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9122db9f",
   "metadata": {},
   "source": [
    "### Particle-Width Sweep (FDTD Counterpart of Fig. 2, Supp. S3)\n",
    "\n",
    "The Methods list the FDTD particles that set the LSA parameters of Fig. 2: $L_x$ = 110–170 nm, $L_y$ = 190 nm, $t$ = 20 nm. The next cell runs the seven unit cells as a batch, without field monitors."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "9a59748f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">20:42:09 KST </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation has </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7.31e+06</span><span style=\"color: #800000; text-decoration-color: #800000\"> time steps. The </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> may be </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">unnecessarily large, unless there are very long-lived resonances.  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m20:42:09 KST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation has \u001b[0m\u001b[1;36m7.31e+06\u001b[0m\u001b[31m time steps. The \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m may be \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31munnecessarily large, unless there are very long-lived resonances.  \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">20:42:14 KST </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation has </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7.40e+06</span><span style=\"color: #800000; text-decoration-color: #800000\"> time steps. The </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> may be </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">unnecessarily large, unless there are very long-lived resonances.  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m20:42:14 KST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation has \u001b[0m\u001b[1;36m7.40e+06\u001b[0m\u001b[31m time steps. The \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m may be \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31munnecessarily large, unless there are very long-lived resonances.  \u001b[0m\n"
      ]
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      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">20:42:18 KST </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation has </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7.31e+06</span><span style=\"color: #800000; text-decoration-color: #800000\"> time steps. The </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> may be </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">unnecessarily large, unless there are very long-lived resonances.  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m20:42:18 KST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation has \u001b[0m\u001b[1;36m7.31e+06\u001b[0m\u001b[31m time steps. The \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m may be \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31munnecessarily large, unless there are very long-lived resonances.  \u001b[0m\n"
      ]
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      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">20:42:23 KST </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation has </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7.31e+06</span><span style=\"color: #800000; text-decoration-color: #800000\"> time steps. The </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> may be </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">unnecessarily large, unless there are very long-lived resonances.  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m20:42:23 KST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation has \u001b[0m\u001b[1;36m7.31e+06\u001b[0m\u001b[31m time steps. The \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m may be \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31munnecessarily large, unless there are very long-lived resonances.  \u001b[0m\n"
      ]
     },
     "metadata": {},
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">20:42:27 KST </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation has </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7.31e+06</span><span style=\"color: #800000; text-decoration-color: #800000\"> time steps. The </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> may be </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">unnecessarily large, unless there are very long-lived resonances.  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m20:42:27 KST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation has \u001b[0m\u001b[1;36m7.31e+06\u001b[0m\u001b[31m time steps. The \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m may be \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31munnecessarily large, unless there are very long-lived resonances.  \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">20:42:32 KST </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation has </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7.31e+06</span><span style=\"color: #800000; text-decoration-color: #800000\"> time steps. The </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> may be </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">unnecessarily large, unless there are very long-lived resonances.  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m20:42:32 KST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation has \u001b[0m\u001b[1;36m7.31e+06\u001b[0m\u001b[31m time steps. The \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m may be \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31munnecessarily large, unless there are very long-lived resonances.  \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">20:42:36 KST </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation has </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7.32e+06</span><span style=\"color: #800000; text-decoration-color: #800000\"> time steps. The </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> may be </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">unnecessarily large, unless there are very long-lived resonances.  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m20:42:36 KST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation has \u001b[0m\u001b[1;36m7.32e+06\u001b[0m\u001b[31m time steps. The \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m may be \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31munnecessarily large, unless there are very long-lived resonances.  \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">20:42:40 KST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">12.205</span> for the whole batch.               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m20:42:40 KST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m12.205\u001b[0m for the whole batch.               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "estimated maximum cost: 12.21 FlexCredits\n",
      "Lx  110 nm: LSPR   806 nm, SLR 1542.05 nm, Q   5713, Delta T 0.71\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">21:07:04 KST </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.3e-05</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-07</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m21:07:04 KST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m2.3e-05\u001b[0m\u001b[31m is greater  \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-07\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lx  120 nm: LSPR   840 nm, SLR 1542.04 nm, Q  18143, Delta T 0.39\n",
      "Lx  130 nm: LSPR   856 nm, SLR 1542.29 nm, Q   6909, Delta T 0.13\n",
      "Lx  140 nm: LSPR   882 nm, SLR 1543.90 nm, Q   2861, Delta T 0.19\n",
      "Lx  150 nm: LSPR   908 nm, SLR 1546.27 nm, Q    966, Delta T 1.00\n",
      "Lx  160 nm: LSPR   934 nm, SLR 1548.39 nm, Q    567, Delta T 0.84\n",
      "Lx  170 nm: LSPR   962 nm, SLR 1551.17 nm, Q    368, Delta T 0.89\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x350 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SWEEP_LX = [\n",
    "    110,\n",
    "    120,\n",
    "    130,\n",
    "    140,\n",
    "    150,\n",
    "    160,\n",
    "    170,\n",
    "]  # nm (Methods: widths for Fig. 2 / Supp. S3)\n",
    "SWEEP_LY = 190.0  # nm\n",
    "\n",
    "sweep_sims = {f\"Lx{lx}\": make_sim(lx, SWEEP_LY, field_maps=False) for lx in SWEEP_LX}\n",
    "batch = web.Batch(simulations=sweep_sims, folder_name=\"Bin-Alam 2021 high-Q SLR\", verbose=False)\n",
    "print(f\"estimated maximum cost: {batch.estimate_cost():.2f} FlexCredits\")\n",
    "sweep_data = batch.run(path_dir=\"data/sweep\")\n",
    "rows = []\n",
    "for lx in SWEEP_LX:\n",
    "    d = sweep_data[f\"Lx{lx}\"]\n",
    "    lc, Tc = flux_spectrum(d, \"T\")\n",
    "    m = (lc > 780) & (lc < 1100)\n",
    "    ls_, Ts_ = flux_spectrum(d, \"T_slr\")\n",
    "    f = fit_slr(ls_, Ts_)\n",
    "    if f is None:\n",
    "        print(f\"Lx {lx:4.0f} nm: no SLR fit (data kept in data/sweep)\")\n",
    "        continue\n",
    "    rows.append((lx, lc[m][np.argmin(Tc[m])], f[\"lam0\"], f[\"Q\"], f[\"depth\"]))\n",
    "    print(\n",
    "        f\"Lx {lx:4.0f} nm: LSPR {rows[-1][1]:5.0f} nm, SLR {f['lam0']:.2f} nm, \"\n",
    "        f\"Q {f['Q']:6.0f}, Delta T {f['depth']:.2f}\"\n",
    "    )\n",
    "r = np.array(rows)\n",
    "plt.figure(figsize=(5, 3.5))\n",
    "plt.plot(r[:, 1], r[:, 3], \"o-\")\n",
    "plt.xlabel(\"$\\\\lambda_{LSPR}$ from FDTD (nm)\")\n",
    "plt.ylabel(\"SLR Q (infinite array)\")\n",
    "plt.title(\"FDTD counterpart of Fig. 2d\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ad8d8323",
   "metadata": {},
   "source": [
    "## Part B — Lattice Sum Approach (Figs. 1d, 2, 3)\n",
    "\n",
    "FDTD can only treat an infinite array, or a small finite one. The devices are 600 × 600 µm², with about 7 × 10⁵ particles. The paper therefore uses a coupled-dipole model, the **lattice sum approach (LSA)** (Methods, eqs. 1–7). Every particle is treated as a point dipole, and all particles are assumed to carry the same dipole as the one in the center.\n",
    "\n",
    "**Single particle**, a Lorentzian with radiative and dynamic-depolarization corrections (eqs. 4–5):\n",
    "$$\\alpha_{\\rm static}(\\omega) = \\frac{A_0}{\\omega_0 - \\omega - i\\gamma},\\qquad\n",
    "\\alpha(\\omega) = \\frac{\\alpha_{\\rm static}}{1 - \\tfrac{2}{3} i k^3 \\alpha_{\\rm static} - \\tfrac{k^2}{l}\\alpha_{\\rm static}},\\qquad l = 180\\ {\\rm nm}.$$\n",
    "\n",
    "**Array**, with the retarded dipole sum over the $N$ neighbours of the central particle (eqs. 2, 6):\n",
    "$$S = \\sum_{j} e^{ikr_j}\\left[\\frac{k^2 \\sin^2\\theta_j}{r_j} + \\frac{(1 - ikr_j)(3\\cos^2\\theta_j - 1)}{r_j^3}\\right],\\qquad\n",
    "\\alpha^*(\\omega) = \\frac{\\alpha(\\omega)}{1 - \\alpha(\\omega) S(\\omega)}.$$\n",
    "\n",
    "**Transmission**, from the optical theorem (eq. 7):\n",
    "$$T = 1 - \\frac{4\\pi k}{P_x P_y}\\,\\mathrm{Im}\\,\\alpha^*(\\omega).$$\n",
    "\n",
    "Here $k = 2\\pi n / \\lambda$, and $\\theta_j$ is the angle between $\\mathbf r_j$ and the dipole.\n",
    "\n",
    "**Implementation notes:**\n",
    "1. *Units.* $\\alpha$ is a volume in the Gaussian-type convention ($p = 4\\pi\\varepsilon_0\\varepsilon_b\\,\\alpha E$) implied by the $\\tfrac{2}{3}ik^3$ and $4\\pi k$ factors.\n",
    "2. *Lattice sum.* The code includes $\\sin^2\\theta$ in the far-field ($k^2/r$) term, as in the standard coupled-dipole sum (Zou & Schatz); the printed eq. 6 does not have it.\n",
    "\n",
    "The lattice sum depends only on the lattice, not on the particle. It is therefore computed once per lattice and wavelength grid and cached in `lsa_cache/`; changing $A_0$, $\\gamma$ or $\\lambda_{LSPR}$ afterwards is instant. Only one quadrant is summed, with multiplicity weights; this is exact, because each term depends only on $|x|$ and $|y|$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "f0da7f09",
   "metadata": {},
   "outputs": [],
   "source": [
    "# ---------------- Lattice-sum approach (LSA) -------------------------------\n",
    "# Units: lengths in nm, polarizability in nm^3 (Gaussian-type: p = 4*pi*eps0*eps_b*alpha*E),\n",
    "# omega in rad/s.\n",
    "C0 = 299792458.0  # m/s\n",
    "N_BG = 1.452  # background (silica) index used for the LSA\n",
    "L_EFF = 180.0  # nm, effective particle radius in the long-wavelength correction (eq. 4)\n",
    "\n",
    "\n",
    "def lattice_sum(lam_nm, px, py, nx, ny, n=N_BG):\n",
    "    \"\"\"Retarded dipole sum S(lambda) seen by the central particle of an nx x ny array (eq. 6).\n",
    "\n",
    "    All dipoles point along x (E_inc || x). The sum only depends on |x| and |y| of each\n",
    "    neighbour, so we sum one quadrant with multiplicity weights (exact, 4x faster).\n",
    "    \"\"\"\n",
    "    ix = np.arange(nx) - nx // 2\n",
    "    iy = np.arange(ny) - ny // 2\n",
    "    ux, cx = np.unique(np.abs(ix), return_counts=True)\n",
    "    uy, cy = np.unique(np.abs(iy), return_counts=True)\n",
    "    X, Y = np.meshgrid(ux * px, uy * py, indexing=\"ij\")\n",
    "    W = np.outer(cx, cy).astype(float)\n",
    "    r = np.hypot(X, Y)\n",
    "    W[r == 0] = 0.0  # exclude the particle itself\n",
    "    r[r == 0] = 1.0\n",
    "    cos2 = (X / r) ** 2  # cos^2 of the angle between r_j and p (p || x)\n",
    "    sin2 = 1.0 - cos2\n",
    "    S = np.empty(len(lam_nm), complex)\n",
    "    for i, lam in enumerate(np.atleast_1d(lam_nm)):\n",
    "        k = 2 * np.pi * n / lam\n",
    "        S[i] = np.sum(\n",
    "            W\n",
    "            * np.exp(1j * k * r)\n",
    "            * (k * k * sin2 / r + (1 - 1j * k * r) * (3 * cos2 - 1) / r**3)\n",
    "        )\n",
    "    return S\n",
    "\n",
    "\n",
    "def alpha_particle(lam_nm, lam_lspr, A0, gamma, n=N_BG, l_eff=L_EFF):\n",
    "    \"\"\"Lorentzian (eq. 5) + radiative / dynamic-depolarization correction (eq. 4), in nm^3.\n",
    "\n",
    "    A0 in m^3/s, gamma in 1/s, lam_lspr in nm.\n",
    "    \"\"\"\n",
    "    w = 2 * np.pi * C0 / (np.asarray(lam_nm) * 1e-9)\n",
    "    w0 = 2 * np.pi * C0 / (lam_lspr * 1e-9)\n",
    "    a_s = (A0 * 1e27) / (w0 - w - 1j * gamma)\n",
    "    k = 2 * np.pi * n / np.asarray(lam_nm)\n",
    "    return a_s / (1 - 2j / 3 * k**3 * a_s - k**2 / l_eff * a_s)\n",
    "\n",
    "\n",
    "def alpha_eff(a, S):\n",
    "    \"\"\"Effective polarizability of a particle in the array (eq. 2).\"\"\"\n",
    "    return a / (1 - a * S)\n",
    "\n",
    "\n",
    "def transmission(lam_nm, a, S, px, py, n=N_BG):\n",
    "    \"\"\"Optical theorem (eq. 7): T = 1 - 4 pi k Im(alpha*) / (Px Py).\"\"\"\n",
    "    k = 2 * np.pi * n / np.asarray(lam_nm)\n",
    "    return 1 - 4 * np.pi * k * np.imag(alpha_eff(a, S)) / (px * py)\n",
    "\n",
    "\n",
    "def cached_sum(tag, lam, px, py, nx, ny, n):\n",
    "    \"\"\"lattice_sum() with an on-disk cache (the big arrays take ~10-60 s).\"\"\"\n",
    "    os.makedirs(\"lsa_cache\", exist_ok=True)\n",
    "    fn = f\"lsa_cache/{tag}_{px:g}x{py:g}_{nx}x{ny}_n{n:.4f}_{lam[0]:.2f}_{lam[-1]:.2f}_{len(lam)}.npy\"\n",
    "    if os.path.exists(fn):\n",
    "        return np.load(fn)\n",
    "    t0 = time.time()\n",
    "    S = lattice_sum(lam, px, py, nx, ny, n)\n",
    "    np.save(fn, S)\n",
    "    print(\n",
    "        f\"  lattice sum {nx} x {ny}, {len(lam)} wavelengths: {time.time() - t0:.1f} s\"\n",
    "    )\n",
    "    return S"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7b064ef2",
   "metadata": {},
   "source": [
    "### Fig. 1d — LSA Spectrum of the 600 × 600 µm² Device\n",
    "\n",
    "Methods parameters: $\\lambda_{LSPR}$ = 780 nm, $A_0 = 3.46\\times10^{-7}$ m³/s, $\\gamma = 8.5\\times10^{13}$ s⁻¹, $P_x$ = 500 nm, $P_y$ = 1067.5 nm, and 1200 × 562 particles."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "4d21e528",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LSA, Fig. 1d parameters: SLR at 1552.38 nm, FWHM 0.291 nm, Q = 5339\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1100x380 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Fig. 1d parameters (Methods, \"Lattice sum approach\")\n",
    "LSA1 = {\"lam_lspr\": 780.0, \"A0\": 3.46e-7, \"gamma\": 8.5e13}\n",
    "PX_L, PY_L = 500.0, 1067.5  # nm (Methods)\n",
    "NX_L, NY_L = 1200, 562  # 600 x 600 um^2 array\n",
    "\n",
    "lam_b = np.linspace(700, 1700, 1001)  # broadband, 1 nm\n",
    "lam_f = np.linspace(1540, 1560, 1001)  # SLR zoom, 0.02 nm\n",
    "S_b = cached_sum(\"fig1d\", lam_b, PX_L, PY_L, NX_L, NY_L, N_BG)\n",
    "S_f = cached_sum(\"fig1d\", lam_f, PX_L, PY_L, NX_L, NY_L, N_BG)\n",
    "T_b = transmission(lam_b, alpha_particle(lam_b, **LSA1), S_b, PX_L, PY_L)\n",
    "T_f = transmission(lam_f, alpha_particle(lam_f, **LSA1), S_f, PX_L, PY_L)\n",
    "\n",
    "# splice the fine window into the broadband curve for plotting\n",
    "lam_1d = np.concatenate([lam_b[lam_b < lam_f[0]], lam_f, lam_b[lam_b > lam_f[-1]]])\n",
    "T_1d = np.concatenate([T_b[lam_b < lam_f[0]], T_f, T_b[lam_b > lam_f[-1]]])\n",
    "fit_1d = fit_lorentz(lam_f, T_f)\n",
    "print(\n",
    "    f\"LSA, Fig. 1d parameters: SLR at {fit_1d['lam0']:.2f} nm, FWHM {fit_1d['fwhm']:.3f} nm, \"\n",
    "    f\"Q = {fit_1d['Q']:.0f}\"\n",
    ")\n",
    "\n",
    "fig, ax = plt.subplots(1, 2, figsize=(11, 3.8))\n",
    "ax[0].plot(lam_1d, T_1d, \"r\", lw=1.2, label=\"LSA\")\n",
    "ax[0].set_ylim(0, 1.2)\n",
    "ax[0].axvspan(lam_f[0], lam_f[-1], color=\"0.9\")\n",
    "ax[0].set_title(\"Fig. 1d (LSA): 600 x 600 um$^2$ array\")\n",
    "ax[1].plot(lam_f, T_f, \"r\", lw=1.2, label=\"LSA\")\n",
    "ax[1].plot(\n",
    "    *fit_1d[\"curve\"], \"k--\", lw=0.8, label=f\"Lorentzian fit, Q = {fit_1d['Q']:.0f}\"\n",
    ")\n",
    "ax[1].set_xlim(fit_1d[\"lam0\"] - 8, fit_1d[\"lam0\"] + 8)\n",
    "ax[1].set_title(\"zoom on the SLR\")\n",
    "for a in ax:\n",
    "    a.set_xlabel(\"wavelength (nm)\")\n",
    "    a.set_ylabel(\"transmittance\")\n",
    "    a.legend(frameon=False)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3a1224ad",
   "metadata": {},
   "source": [
    "The next cell overlays the FDTD spectrum and the LSA spectrum of the Fig. 1d particle placed on the FDTD lattice ($P_y$ = 1060 nm)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "3a73f2b7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# LSA on the FDTD lattice (Py = 1060 nm), Fig. 1d particle, large array\n",
    "lam_cmp = np.r_[\n",
    "    np.linspace(LAM_MIN, LAM_MAX, 501), np.arange(SLR_WIN[0], SLR_WIN[1], 0.02)\n",
    "]\n",
    "lam_cmp = np.unique(lam_cmp)\n",
    "S_cmp = cached_sum(\"cmp\", lam_cmp, PX, PY, 1200, 567, N_BG)\n",
    "T_cmp = transmission(lam_cmp, alpha_particle(lam_cmp, **LSA1), S_cmp, PX, PY)\n",
    "fig, ax = plt.subplots(1, 2, figsize=(12, 4))\n",
    "for a in ax:\n",
    "    a.plot(\n",
    "        lam_all[o],\n",
    "        np.r_[T_c[keep], T_s][o],\n",
    "        color=\"tab:blue\",\n",
    "        lw=1.2,\n",
    "        label=\"FDTD (infinite array)\",\n",
    "    )\n",
    "    a.plot(lam_cmp, T_cmp, \"r\", lw=1, label=\"LSA (600 x 600 um$^2$)\")\n",
    "    a.set_xlabel(\"wavelength (nm)\")\n",
    "    a.legend(frameon=False, fontsize=8)\n",
    "ax[0].set(ylabel=\"transmittance\", ylim=(0, 1.2))\n",
    "ax[1].set_xlim(N_FDTD * PY - 2, N_FDTD * PY + 15)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "145056db",
   "metadata": {},
   "source": [
    "### Fig. 2 — Coupling the Particle to the Lattice\n",
    "\n",
    "Hold $A_0 = 3.98\\times10^{-7}$ m³/s and $\\gamma = 1/[2\\pi(2.1\\ \\text{fs})] = 7.6\\times10^{13}$ s⁻¹ fixed, and tune $\\lambda_{LSPR}$ from 800 to 1000 nm ($P_x$ = 500 nm, $P_y$ = 1060 nm, 1200 × 567 particles)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "fc29ed17",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "A0 = 3.98e-07 m^3/s: best lambda_LSPR = 800 nm, Q_max = 4294\n",
      "A0 = 4.38e-07 m^3/s: best lambda_LSPR = 1000 nm, Q_max = 123989\n",
      "A0 = 4.77e-07 m^3/s: best lambda_LSPR = 1000 nm, Q_max = 150171\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1100x800 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " lambda_LSPR  SLR (nm)  Delta T  Q (LSA)\n",
      "         800   1541.87     0.70     4294\n",
      "         833   1542.08     0.54     2834\n",
      "         866   1542.30     0.53     2218\n",
      "         900   1542.55     0.60     1957\n",
      "         933   1542.80     0.75     1968\n",
      "         966   1546.78     1.11     1222\n",
      "        1000   1547.25     2.15     1865\n"
     ]
    }
   ],
   "source": [
    "# Fig. 2 parameters (Methods)\n",
    "PX2, PY2, NX2, NY2 = 500.0, 1060.0, 1200, 567\n",
    "GAMMA2 = 1 / (2 * np.pi * 2.1e-15)  # = 7.6e13 1/s\n",
    "LSPR_LIST = [800, 833, 866, 900, 933, 966, 1000]  # nm, one color each\n",
    "A0_LIST = [3.98e-7, 4.38e-7, 4.77e-7]  # m^3/s, the three curves of Fig. 2d\n",
    "colors = plt.cm.turbo(np.linspace(0.08, 0.92, len(LSPR_LIST)))\n",
    "\n",
    "lam2_b = np.linspace(700, 1700, 1001)\n",
    "lam2_f = np.linspace(1536, 1552, 1601)  # 0.01 nm\n",
    "S2_b = cached_sum(\"fig2\", lam2_b, PX2, PY2, NX2, NY2, N_BG)\n",
    "S2_f = cached_sum(\"fig2\", lam2_f, PX2, PY2, NX2, NY2, N_BG)\n",
    "\n",
    "fig, ax = plt.subplots(2, 2, figsize=(11, 8))\n",
    "for lspr, c in zip(LSPR_LIST, colors):\n",
    "    a_b = alpha_particle(lam2_b, lspr, A0_LIST[0], GAMMA2)\n",
    "    ax[0, 0].plot(\n",
    "        lam2_b, np.imag(a_b) * 1e-27, color=c, label=f\"{lspr} nm\"\n",
    "    )  # nm^3 -> m^3\n",
    "    T_b2 = transmission(lam2_b, a_b, S2_b, PX2, PY2)\n",
    "    T_f2 = transmission(\n",
    "        lam2_f, alpha_particle(lam2_f, lspr, A0_LIST[0], GAMMA2), S2_f, PX2, PY2\n",
    "    )\n",
    "    m = lam2_b < lam2_f[0]\n",
    "    ax[0, 1].plot(\n",
    "        np.r_[lam2_b[m], lam2_f, lam2_b[lam2_b > lam2_f[-1]]],\n",
    "        np.r_[T_b2[m], T_f2, T_b2[lam2_b > lam2_f[-1]]],\n",
    "        color=c,\n",
    "    )\n",
    "    ax[1, 0].plot(lam2_f, T_f2, color=c)\n",
    "\n",
    "# Fig. 2d: Q of the SLR vs lambda_LSPR, for three oscillator strengths\n",
    "lspr_scan = np.arange(800, 1001, 10.0)\n",
    "styles = [\"-\", \"--\", \":\"]\n",
    "table = {}\n",
    "for A0, ls in zip(A0_LIST, styles):\n",
    "    Q = []\n",
    "    for lspr in lspr_scan:\n",
    "        f = fit_lorentz(\n",
    "            lam2_f,\n",
    "            transmission(\n",
    "                lam2_f, alpha_particle(lam2_f, lspr, A0, GAMMA2), S2_f, PX2, PY2\n",
    "            ),\n",
    "        )\n",
    "        Q.append(f[\"Q\"] if f else np.nan)\n",
    "    ax[1, 1].plot(lspr_scan, Q, \"k\" + ls, label=f\"A$_0$ = {A0:.2e} m$^3$/s\")\n",
    "    print(\n",
    "        f\"A0 = {A0:.2e} m^3/s: best lambda_LSPR = {lspr_scan[np.nanargmax(Q)]:.0f} nm, Q_max = {np.nanmax(Q):.0f}\"\n",
    "    )\n",
    "for lspr, c in zip(LSPR_LIST, colors):\n",
    "    f = fit_lorentz(\n",
    "        lam2_f,\n",
    "        transmission(\n",
    "            lam2_f, alpha_particle(lam2_f, lspr, A0_LIST[0], GAMMA2), S2_f, PX2, PY2\n",
    "        ),\n",
    "    )\n",
    "    table[lspr] = f\n",
    "    ax[1, 1].plot(lspr, f[\"Q\"], \"s\", mfc=\"none\", mec=c, ms=8, mew=1.5)\n",
    "\n",
    "ax[0, 0].set(\n",
    "    xlabel=\"wavelength (nm)\",\n",
    "    ylabel=\"Im[alpha] (m$^3$)\",\n",
    "    title=\"Fig. 2a\",\n",
    "    xlim=(700, 1700),\n",
    ")\n",
    "ax[0, 0].legend(fontsize=8, frameon=False, title=\"$\\\\lambda_{LSPR}$\")\n",
    "ax[0, 1].set(\n",
    "    xlabel=\"wavelength (nm)\",\n",
    "    ylabel=\"transmittance\",\n",
    "    title=\"Fig. 2b\",\n",
    "    ylim=(0, 1.02),\n",
    "    xlim=(700, 1700),\n",
    ")\n",
    "ax[1, 0].set(\n",
    "    xlabel=\"wavelength (nm)\", ylabel=\"transmittance\", title=\"Fig. 2c\", xlim=(1540, 1545)\n",
    ")\n",
    "ax[1, 1].set(\n",
    "    xlabel=\"$\\\\lambda_{LSPR}$ (nm)\",\n",
    "    ylabel=\"quality factor\",\n",
    "    title=\"Fig. 2d\",\n",
    "    ylim=(0, 3800),\n",
    ")\n",
    "ax[1, 1].legend(frameon=False, fontsize=8)\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "print(f\"{'lambda_LSPR':>12s}{'SLR (nm)':>10s}{'Delta T':>9s}{'Q (LSA)':>9s}\")\n",
    "for lspr, f in table.items():\n",
    "    print(f\"{lspr:12.0f}{f['lam0']:10.2f}{f['depth']:9.2f}{f['Q']:9.0f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fd78332f",
   "metadata": {},
   "source": [
    "### Fig. 3 — Array Size\n",
    "\n",
    "Square $L \\times L$ arrays with the Fig. 1d particle and lattice. The left panel shows the LSA spectra (offset, as in Fig. 3a). The right panel shows *Q* vs number of particles, with the measured *Q* values (coherent supercontinuum and incoherent halogen source) read from Fig. 3b."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "c7c87860",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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OhIWFWU3X3bdvX44dO8bGjRtZu3YtO3bsYMiQIWp9QkICbdu2pXLlyuzfv5//+7//Y+LEifzvf/97pOcrhBBCCNuQMUEKgNls5sqVK7i6uqLRaGwdjhBCiGJOURRu3bqFj48PWm3J+L2iU6dOeHl5sWjRIrWse/fuODo6snTpUhRFwcfHhzfffJPRo0cDEB8fj5eXF0uWLKF3794cP36cOnXqsG/fPho1agRYpvPu0KEDly5dwsfHh/nz5/Puu+8SFRWFXq8HYOzYsaxevZoTJ07kGpvRaMRoNKrrZrOZmJgYypQpI9d9IYQQoojI8+cnRTy0ixcvKoAsssgiiyyyFOhy8eJFW1/iHpkpU6YolStXVk6ePKkoiqIcOnRI8fT0VJYuXaooiqKcOXNGAZSDBw9abdeiRQtlxIgRiqIoyqJFi5RSpUpZ1aenpys6nU756aefFEVRlBdeeEHp2rWrVZstW7YogBITE5NrbBMmTLD5vwVZZJFFFllkkSVvy/0+P8nAqAXA1dUVgIsXL+Lm5mbjaIQQQhR3CQkJ+Pr6qteXkmDs2LEkJCRQq1YtdDodJpOJKVOm0LdvXwCioqIA8PLystrOy8tLrYuKisLT09Oq3s7OjtKlS1u18fPzy7GPrDoPD48csY0bN45Ro0ap6/Hx8VSqVEmu+0IIIUQRktfPT5IEKQBZXWHd3Nzkw5AQQogCU5JutVi5ciXLli1j+fLl1K1bl0OHDjFy5Eh8fHwYMGCATWMzGAwYDIYc5XLdF0IIIYqe+31+kiSIEEIIIWzurbfeYuzYsfTu3RuAevXqceHCBaZOncqAAQPw9vYGIDo6mvLly6vbRUdHExgYCIC3tzfXrl2z2m9GRgYxMTHq9t7e3kRHR1u1yVrPaiOEEEKIx1fJGG1NCCGEEEVacnJyjkHMdDodZrMZAD8/P7y9vdm8ebNan5CQwJ49ewgJCQEgJCSEuLg49u/fr7bZsmULZrOZ4OBgtc2OHTtIT09X22zcuJGaNWvmeiuMEEIIIR4vkgQRQgghhM117tyZKVOmsG7dOs6fP8/PP//MzJkzefbZZwFL19aRI0fy4YcfsmbNGo4cOUL//v3x8fGhW7duANSuXZt27doxePBg9u7dyx9//MFrr71G79698fHxAeD5559Hr9czaNAgjh07xvfff8+nn35qNeaHEEIIIR5fcjuMEEIIIWzu888/5/3332f48OFcu3YNHx8fXnnlFcaPH6+2efvtt0lKSmLIkCHExcXRrFkzwsPDcXBwUNssW7aM1157jTZt2qDVaunevTufffaZWu/u7s7vv//Oq6++SlBQEGXLlmX8+PEMGTLkkZ6vEEIIIWxDoyiKYusgiruEhATc3d2Jj4+XAdKEEEI8NLmuFG3y/gghhBBFT16vz3I7jBBCCCGEEEIIIUoESYIIIYQQQgghhBCiRJAkiBBCCCGEEEIIIUoESYIIIYQQQjymqlSpwqFDh6zKjhw5QuvWralfvz7+/v40btyYo0ePWrVZvHgxGo2GnTt3PsJohRBCiMJXrJIgO3bsoHPnzvj4+KDRaFi9evV9t9m2bRsNGzbEYDBQvXp1lixZkqPN3LlzqVKlCg4ODgQHB7N3796CD14IIYQQJYaiKCQlJRXq8qBj2/fp04fXX3+dv//+m6NHj/LTTz/h6elp1WbRokW0adOGRYsWFcTLIYQQQhQZxWqK3KSkJOrXr8/AgQN57rnn7tv+3LlzdOzYkaFDh7Js2TI2b97Myy+/TPny5QkLCwPg+++/Z9SoUSxYsIDg4GBmz55NWFgYJ0+ezPGBQAghhBAiL5KTk3FxcSnUYyQmJuLs7Jzv7S5dukSFChXUdV9fX6v6kydPcu7cOfbt20edOnVISEiQWXCEEEI8NopVEqR9+/a0b98+z+0XLFiAn58fn3zyCQC1a9dm165dzJo1S02CzJw5k8GDB/PSSy+p26xbt46vvvqKsWPHFvxJCCFEMWcym4hNSuDmrThuJsYSkxjHrdRkko0ppKSlkpyWank0ppBuSsdkNmMym1EUs/rcrJgwmxU0GtBqdei0WnQa7e3nWi06rQ6txvLcTmuHnU6HwV6P3s4ee509Bjs99nZ26O306DMfDXb22NvZW8p0dujtMx/tLNvpM+sMdvbo7fXYaXVoNBpbv6RCPFLvv/8+rVq1omnTpjRt2pQePXrQoEEDtX7RokW88MIL+Pj40Lp1a1asWMGQIUNsGLEQQghRcIpVEiS/IiIiCA0NtSoLCwtj5MiRAKSlpbF//37GjRun1mu1WkJDQ4mIiLjrfo1GI0ajUV1PSEgo2MCFEMLGkowpnLxyhhNXznLh+mUib14l8sYVLt68yvVbMffthq/VaHEyOKC306PVaNBlJjc0mUkNS8JDi6IomYkRE2Y1SWLCbDZjUizPs8rSMtIL/Dw1Gg0OdnpLsiQzQeKQ7bnBzj4z8ZKZOLHTY7DXY8iWVDHYG9Q6vb0lOZOVrMlqZ9XGzj7zGFl1t/cnCZnHh5OTE4mJiYV+jAfx5ptv0q9fP7Zs2cKOHTto3rw5ixYtolevXmRkZPDNN9+wfft2AAYOHMgHH3wgSRAhhBCPjcc6CRIVFYWXl5dVmZeXFwkJCaSkpBAbG4vJZMq1zYkTJ+6636lTpzJp0qRCiVkIIR41s9nMyavn2H3qILtPH+JI5EnOXb9klejwdi9HpbLlaVG7MV7uZSnj4kEZ11KUdilFGRd3XB1dcNI74mRwwFHvgMFOX+Bf6BVFISMzGZKWkZb5aL2km9Ixpqdle575mJFOeuZ2xmzbG9PTMGZ7fmdZWkYa8cmJ6vOsbdW2GWkPPC5DbrISK3ZmXYHtU9iGRqN5oFtVHhUvLy/69OlDnz59qFy5MsuWLaNXr16sXbuWuLg4tcesoihcuXKFo0eP4u/vb+OohRBCiIf3WCdBCsu4ceMYNWqUup6QkICvry+dpg9G52CHooBZMWd+MFYwKwpK1sLtuttlWc8z6zLXzYoCar2lLotGo0GDBq1GAxpN5vrt8tuPt8vQWNpbt8mst2p/uyu6Lls3dZ1Wh1arxS6zXJvVZV2jQ6fL2Z09t3ZarRY7nU5tZ6fTYafVYaezQ6+zx06nw15nh53OLtdHq+d2ubfJ8Sjd3YXIISElkS1HIwj/ewc7ju8lJikegDKuHgRWrk2nhq2pU7E6dSpUp1JZHxzsDTaO2PK3KuvvgLPB0dbhALcTM8Z0oyVBkpkcSU1Pu51oUZMsRqsEjFWbrMRLuqX9rVu3OMkmW5+eeEz9/PPPdOrUCXt7ezIyMjh8+DDVqlUDLLfCzJ49m6FDh6rtx4wZw6JFi5g1a5atQhZCCCEKzGOdBPH29iY6OtqqLDo6Gjc3NxwdHS1f3HW6XNt4e3vfdb8GgwGDIecXAk/30ugdHdBqtWpyQavRWicjsq1rNdo7EhG31y37yNwOjbqOBlDIljjJTLJgnWjJSsDcWWZJwNzenmwJmNvJl6x79s1kmExqN/UMswlTRpraNf3OLuwZpowc3dkzMtuZzabMru2WukfNTqvD3s7eKjmSvau6pYv7HeMFZOuqnlv5nd3Z77eto70BR70DDnoD9rrH+r+eKKKM6Wn8fngX3+9ex/Z/9pBuysDdyZVWdZry5BMNaVojkBreVSRpmA/ZEzMFOQRmQkIC84d+WIB7FCVZWFgY9vb26nqNGjUYO3YsBoMBk8lEkyZNmDRpEleuXGHz5s05ZtLr27cvbdq0Yfr06ej1+kccvRBCCFGwHutvYiEhIaxfv96qbOPGjYSEhACg1+sJCgpi8+bNdOvWDbB0C9+8eTOvvfZavo/31dDpMnp6HmRPtGSYTZhMJtJNGaSb0kk3ZZBhysj1Md1ksipLy0jPpa1lXxnmO7bNSLeqTzdl5PiVNi09927vWXWpBdjt3U6rw0FvwCErMZL56JhLmYO9AQd9Zr29QW2TVeZgb8DZ4ISzwRFngyMuDs44GxxxMjjKl1kBwPnrl1i0dRU/7PmN2KQEyrh68ELzbrQPbEnTGg0kKSfEY+z8+fN5buvm5kZycnKO8oCAAK5fv16AUQkhhBC2U6w++SYmJnL69Gl1/dy5cxw6dIjSpUtTqVIlxo0bx+XLl/nmm28AGDp0KHPmzOHtt99m4MCBbNmyhZUrV7Ju3Tp1H6NGjWLAgAE0atSIJk2aMHv2bJKSktTZYkTB02g0lltotDr02N9/gyJCHY8gPdu4AHeMLZBbAiWrm7sxPY2UtFRS040kp6WSmmYkNd2olqVklsUkxpGSZiTljrr8JmA0Gg1O+qzESGaSJDNBcrvMCRcHJ5wMjupzd0cX3Jxcsz264uLgJAmVYujAuaPM27ic9Qe3odFoeKbeU/QO6USbek9K4kMIIYQQQpRIxepT8F9//UWrVq3U9axxOQYMGMCSJUu4evUqkZGRar2fnx/r1q3jjTfe4NNPP6VixYosXLhQHewLoFevXly/fp3x48cTFRVFYGAg4eHhOQZLFcJqPIJHfGxFUTLHELBOjKSkGdUpSZOMySSlJpNkTCHJmEyi+jyFpNQk9fnlmGhLW2MKSanJGDPS7nt8rUaLm6MLbk4uVkkSdye3zDJX3JxcKONSitLO7pRx9cgcMLMUBnvpOv2o/XX2CFN/WcAfJ/fjZHDk5VY9GdymF75lyts6NCGEEEIIIWxKoxTksPYlVEJCAu7u7sTHx8vtMKLYSTdlkGxMITHVkji5lZpIfPItElISiUtKICHl9np8ciIJKbduP6YkEp+UQMY9xnlxNjhZZhFxLpVtNhHL4uleBm/3sni6l8W7VFlKOblJj5OH8M+lU0xb8wW/H96Fh7Mbw57pS//mz1LKWf4uFTdyXSna5P0RQgghip68Xp+LVU8QIUTBs9fZ4e7kiruT6wNtrygKKelG4pISiE2K5+atWGIS47mRaHnMWr+ZGMvlmGgOR54gJjE+1wFyDXZ6vEqVxcutDF6lyuHtXhavUmXxdi+Hb5ny+JYpj3epsui0Mn1odheuX2bami9Y/ddGnPSOjOo4iKGhfXBzLMihOoUQhSU13cjCLSsBGNy6l/SgE0IIIQqRJEGEEA/FMvaIA056B3w8PPO0jdlsJj7lFtfiY7iWcIOouBtExV8nOu4G0fE3iY6/zuHIE2yMu5Hjdh07rY4Kpb3xLVOeimW81eSIb5nyVPX0xdOtTInpTRKbFM/s35bw1dZVaDQahrTuxevtBlDW1cPWoQkh8mH5H7/y4c9zAXA2OPLS0z1sHJEQQgjx+JIkiBDikdNqtXg4u+Ph7E5NH7+7tlMUhfjkW1yJjeZSTBQXb0Zx8eZVdfn9753EJMVbbePi4ERVz0pU96pEVa9KVPeqTDWvSlT19MXZwamwT+2RMKan8dW2VXz629fEJSfQvUkYY7sOlTE/hCiGUtONfB7+tbr+WfjXPP9UF+kNIoQQQhQSSYIIIYosjUZDKWc3Sjm7UadijVzbJKYmZSZHrnD22kXOREdyOuoCu07u56d9v1u19fHwpHaF6tSpUJ06FatTy6ca1b0rF5uZUsxmM2sObOaj1fOJvHGFJ59oyPjurxNYubatQxNCPKDlf/zK1bjr+Hh4oigKV+Ous/yPNdIbRAghhCgkxeOTvxBC3IWLgzO1K1SjdoVqOepupSRx5lokZ6IucObaRU5eOcuJK2fYcixCnXJYb2dPDe8qanKkbsXq1KlYg3JupR/1qdyV2Wxm3cFtzFr/Ff9cPk0N78p8M/z/eKZesxJz648Qj6PsvUBGtBuAoiiMW/Gx9Aa5h6NHj9KpUyfOnz9f4Pvetm0bI0eO5NChQwW+77yaPXs2vXv3xtvb+65t/vOf/zBq1ChCQkKYOHEic+fOpUKFCmr9+vXr6dChAzt37sTV9cHG+wKYO3cuCxYsQKfTkZGRwZAhQxgxYgQAL774IoGBgYwcOfKB91+UjR49moYNG/L888/bOhQhRCGQJIgQ4rHl6uhMYOXaOXpKJKel8u/Vc/xz6TTHL5/mn8un2XL0T37Y85vaxsu9LHUr1sDf9wnqVqxB3Yo18POs+EgHZU1NN7Jm/2bm/b6ME1fOUKmsDzNfeIeeTTtgV0x6rwgh7i57L5A+T3YGLLfDlKTeIGazGbDcJvm4yMjIwM7uwf5Gz549m6effvquSZC9e/cSExNDSEiIWta3b19mz55t1a4gEjn9+vXj1VdfBSwzLvj7+9O8eXMaNGjw0PsuLA/z2mf39ttv06xZM3r16oVOJ4OxC/G4eXyuOEIIkUdOegcCK9fm+ac680HPN/jxjbkc+zicQ9N+ZdlrM3mn2zCCq9cn8sYVPt/wDa8sfI9mE3tRfWQbOk5/mbeXT+ebHT+z/+xRkowpBRqboij8c+kUk378nIZjuzBiyWRS043M6v8ef0xayfNPdZEEiBCPgTt7gRjs9Rjs9YxoNwCwJEOM6Wn32kWeaDQapkyZQnBwMFWqVGH16tVMnTqVRo0aUaNGDbZt26a23bBhA82aNSMoKIgmTZqwdetWAKKiomjVqhVBQUHUrVuX1157TU1e7N69m6CgIAIDA/H392f+/PmApadA9i/mo0ePZuLEiQBMnDiR7t27ExYWhr+/P1evXr3rsbPa16hRg6CgIFasWJHnc1+3bh2NGzemfv36BAYGsmfPHvU8GzZsSEBAAC1btuSff/5Rt8nIyGD48OHUr1+funXr8tdff9339dm2bRt169Zl0KBBBAYG8vPPP3Pq1Ck6duxI48aNCQgIYM6cOVbvyUcffUSTJk3w8/Nj8eLFAEyePJkrV67Qq1cvAgMDc01kfPHFF3nqnaDRaIiLiwPgzz//JDAwkHr16jFw4EDq169v9b7fjbu7u/o8KSmJ9PR0q/rDhw/z5JNP8sQTTzBgwABSUu5/PVy+fDnBwcE0aNCA+vXr8+uvv6p1Tz/9NK+//jqNGzemevXqvPnmm2qvzfvVjRgxgpCQENq2bYvJZOKtt97C398ff39/Xn/9ddLS0jh58iQVK1bk7NmzAHz88ce0a9dO/becnaenJ9WqVeP333/PUSeEeAwo4qHFx8crgBIfH2/rUIQQBSwxNVn568wRZcn2H5W3lk5TOkwbpFR5vaXi9Uqw4vVKsOI9tKny1PieypAv31U+/W2JsunIH8rV2GuK2WzO0/7NZrNyNfaasuavzcp7389Ugt/rru6335xRysbDfygZpoxCPktR1Mh1pWgriPdn0dZVitcrwUqDsZ2V1DSjWp6aZlQCx3RSvF4JVr7auuqhYwWU2bNnK4qiKJs2bVKcnZ2VxYsXK4qiKCtXrlQaNWqkKIqinDlzRmnatKl6TqdOnVK8vb2V1NRUJSUlRbl165aiKIqSkZGhdOzYUfnuu+8URVGULl26KMuXL1ePFxMToyiKogwYMECZNWuWWv7mm28qEyZMUBRFUSZMmKCUL19eiYqKuu+x165dq9SpU0eJj49XzGaz0rdvX6Vy5cr3Pe+TJ08q5cqVU44fP64oiqKkpaUpcXFxSnR0tFK6dGnl8OHDiqIoytKlS5XatWsrZrNZ2bp1q6LT6ZTdu3criqIo8+fPV9q2bXvfGLdu3apoNBpl27Zt6msUFBSkHjspKUmpV6+esnfvXvU9+fjjjxVFUZTjx48rLi4uSnp6uqIoilK5cmXl4MGDdz2vqlWrKkeOHFHXJ0yYoJQtW1apX7++Ur9+feXFF19UjxEbG6sYjUalYsWKypYtWxRFUZQtW7YogLJ169b7voaKoiirVq1S6tSpo+j1ejVmRbG8v3Xq1FESEhKUjIwMpVOnTsqUKVPuu78bN26o18dz584pXl5eSmpqqqIoitKyZUuldevWSlpampKUlKQEBQUpy5Yty1NdWFiYkpaWpiiKosybN09p2bKlkpqaqqSnpyvt27dXpk2bpiiKoixfvlwJCgpStm7dqlSpUkW5du3aXWOdNGmS8uabb+bpdRJCFA15vT7Lz4lCCHEPzgZHgqr6E1TVXy0zmU2cu3aJo5f+5djFUxy7dIrdpw7xy1+b1DYGOz1epcri7V6Wcm6lcbA3YLDXo0FDojGZJGMK1+JvcO7aJW6lJgGW6X8bVwvg5dY96RD4dJ6nHBZCFC/G9LQcvUCyZPUGGbfiYz7f8E2BjA3Sq1cvABo1akRSUhK9e/cGoEmTJpw6dQqA8PBwTp8+TYsWLdTttFotkZGRVKhQgTFjxrBr1y4UReHatWv4+/vTu3dvWrVqxQcffMCpU6do3bo1zZo1y1NMHTp0wMvL677H3rx5Mz179sTNzQ2AV155hV27dt13/xs3bqRdu3bUqlULAHt7e9zd3fn111+pV68e9erVAyy3krz66qtcvnwZgOrVqxMcHAxASEgIH3/88X1jBKhatSotW7YE4OTJkxw7dkx9nQFu3brFP//8Q+PGjdXjAtSqVQs7OzuioqKoWLHifc/r0qVL6uuWJbfbYbKcOHECOzs7WrVqBUCrVq2oVi3nGFp306NHD3r06MH58+d59tln6dSpEzVr1gSgZ8+e6pgjgwYN4rPPPuOdd9655/7OnTtH3759uXTpEnZ2dsTExHDu3Dn1ferfvz/29vbY29vTr18/Nm3apPZ8uVddv379sLe3B2DTpk28+OKLGAwGAAYPHszcuXMZM2YMffr0YevWrYSFhbF582bKlSt311i9vb2tegkJIR4fkgQRQoh80ml1VPeuTHXvynRr9Ixafj3hJscuneafS6e5EhtNVPwNouOu88+l06SmGzGmp2FWFJwdnHBxcKKsqwddG4Xi5+lLQ7+61K9cGye9gw3PTAjxKCz/Y02OsUCye/6pLnwW/jVXYq/x3Z+/8mLL7g91PAcHy9+VrLENsq9nZGQAllvxnnnmGZYvX55j+w8//JBr166xZ88eHBwcGDVqFKmpqQCMHDmSrl27smnTJt555x38/f2ZN28ednZ2mEwmdR+pqam4uLio69mf3+vYdyrswaCzXhvI++tz+fLlHOdTunTpe47Lcbfj3I+Tk5P62j+oB3kNq1SpQnBwMGvXrlWTIA+y3969ezNt2jR69LCMd1O6dOl7ns+99pm9Lvvrf692GRkZHD16lNKlS6uJr7tJTU3F0dHxnm2EEMWTjAkihBAFpJxbGZ6uE8zwtn35sNcoFg75iF/f/pKID37g4LRf+eeTDZyY+Tv7P1rN9vHL+fGNuXzcbxyvtu1HSI0GkgARogQwpqfx2V16gWQpjLFB7icsLIxNmzZx+PBhtWzv3r0AxMbG4u3tjYODA1FRUaxatUptc/LkSfz8/Bg8eDDvvPMOu3fvBiw9KrK2v3nzJuvXr3+gY4eGhrJq1Spu3bqFoij873//s9q2TZs2ats797lhwwZOnDgBQHp6OvHx8TRt2pQjR45w9OhRAFasWEGFChWsZlfJb4x3qlmzJm5ubupYHwCnT58mJibmnscAcHNzIz4+/q71AQEBnDx58r77yR5Leno627dvB2D79u2cPn06T9tm7wVx/fp1tmzZQkBAgFr2ww8/kJiYiMlkYvHixYSGhgLw888/079//1z3GRsbi5+fHwBLly4lNjbWqn7p0qWkp6eTkpLC8uXL1X3ery670NBQvvnmG9LS0sjIyGDhwoW0bdsWgLFjx1KzZk127tzJ6NGj7/laHD9+nPr169/rJRJCFFPSE0QIIYQQ4hHJ6gXi6VaGro1C7zq4crfGzzBr/eIC6w1yP9WrV2f58uW88sorJCcnk5aWRoMGDVi+fDn//e9/6dGjB3Xr1sXHx8fqy+ecOXPYsmULer0enU7HJ598AsCQIUPo0aMHtWvXpmrVqjRt2vSBjt2hQwf27t1Lw4YNcXNzo3379up2JpOJv//+O9fbSKpXr87ixYvp168f6enp6HQ6FixYQJMmTVi2bBn9+/cnIyMDDw8PVq1add9eDPeK8U52dnasXbuWkSNHMmvWLEwmE2XLls1TT5cRI0YwePBgnJycWLJkCYGBgVb1PXr0YMOGDXdNANzJYDCwYsUKXn31VcxmM0FBQdSsWZNSpUoBsGDBAq5cucLkyZNzbPvpp5+yc+dO9Ho9iqIwcuRInnnmdu/Hxo0bExYWxvXr1wkJCVGnyz116pR6+1Ju++zRowelSpWidevWVKpUyaq+du3aPPXUU8TExNC1a1erW4ruVZfdkCFDOHPmDA0bNgQsA6eOHDmStWvXEh4ezt69e3FycmLmzJn07NmTP//8k5iYGDp06KD23lEUhc2bNzN27Ng8vc5CiPz53//+R9euXXPc3veoaBQlc2hl8cASEhJwd3cnPj7+rn/0hRBCiLyS60rR9qDvjzE9jabvd+dq3PV8Hc/Hw5OIyT889Nggj5t9+/bxxRdfsHDhQluH8sgkJiby5JNPEhERgbOzc562uXXrljp2x759++jSpQtnzpzBycmpUGLs1q0bs2fPpkqVKvnaLitZ0a1bt3zVFYbw8HCWLl3K0qVLH8nxhChJdu3aRfPmzSlVqhRnz57Fw8OjwPad1+uz9AQRQgghhHgEsnqB5Nej6g1S3DRu3FgdaLSkcHFxYdasWZw7dw5/f//7bwD8+OOPzJo1C0VRsLOz49tvvy20BAjA6tWrC23fj0p8fDwzZsywdRhCPHbMZjNvvPEGAP/5z38KNAGSH9ITpADIL3ZCCCEKUkm8rlSpUoULFy7kKB8+fDhz584lNTWVN998kxUrVmA0GgkLC2PevHlWXWkjIyMZNmwYW7duxcXFhQEDBjB16lTs7G7/5rNt2zZGjRrFsWPH8PX15b333uPFF1/MV6wP+v6kphsxmc35OlYWnVaLg73hgbYVQgghioJvv/2W/v374+rqyqlTpwr8dpi8Xp9lYFQhhBBC2Ny+ffu4evWqumzcuBGw/FIE8MYbb/Drr7+yatUqtm/fzpUrV3juuefU7U0mEx07diQtLY0///yTr7/+miVLljB+/Hi1zblz5+jYsSOtWrXi0KFDjBw5kpdffpkNGzY8knN0sNPjrDE/0OJgJ7fCCCGEKL6SkpIYN24cAO+8847NxgMB6QlSIEriL3ZCCCEKj1xXUAcyPHXqFAkJCZQrV47ly5erU2ueOHGC2rVrExERQdOmTfntt9/o1KkTV65cUT9YLViwgDFjxnD9+nX0ej1jxoxh3bp16swgYJmyMy4ujvDw8DzH9sDvT1oSTC6f9/bZjb8K+ryNASGEEEIUNRMnTmTSpElUqVKF48ePW00VXlCkJ4gQQgghiqW0tDSWLl3KwIED0Wg07N+/n/T0dKsZMWrVqkWlSpWIiIgAICIignr16ln9shQWFkZCQgLHjh1T29w5q0ZYWJi6j7sxGo0kJCRYLUIIIYTIm0uXLqnj7MyYMaNQEiD5IQOjCiGEEKJIWb16NXFxcepYHVFRUej1enVazyxeXl5ERUWpbe7sWpu1fr82CQkJpKSk4OjomGs8U6dOZdKkSQ97WtbGngH9fQanTEuGadUK9rhCCCHEI/bOO++QkpJCs2bN1B6dtiQ9QYQQQghRpCxatIj27dvj4+Nj61AAGDduHPHx8epy8eLFh9+p3slye8s9l8KbwaO4Onr0aJ6mXr1y5QrNmzcvtDg0Gg1xcXGFtv/7Wb16Nbt3775nmzlz5jBt2jTAMiCwo6MjgYGB6rJmzRpefvlltm7d+lCxREREqPusW7cur7zyCkajEYAlS5Y8smltbWHt2rUMGTLE1mEIUaTt27ePb7/9FoCZM2ei0WhsHJH0BBFCCCFEEXLhwgU2bdrETz/9pJZ5e3uTlpZGXFycVW+Q6OhovL291TZ79+612ld0dLRal/WYVZa9jZub2117gQAYDAYMBpmZpTCYM2fL0WoL9nc5Hx8fdu7cWaD7LGgZGRlWMxflx+rVqwkMDKRp06a51qekpDBz5kyOHDmiltWsWZNDhw5ZtevSpcsDHT+7+vXrs2/fPuzt7TGbzXTv3p158+ap02AWRQX1765Tp05MmDCBU6dOUaNGjYIITYjHiqIo6t+CF154ochMay49QYQQQghRZCxevBhPT086duyolgUFBWFvb8/mzZvVspMnTxIZGUlISAgAISEhHDlyhGvXrqltNm7ciJubG3Xq1FHbZN9HVpusfTyONBoNU6ZMITg4mCpVqrB69WqmTp1Ko0aNqFGjBtu2bVPbbtiwgWbNmhEUFESTJk3UHgJRUVG0atWKoKAg6taty2uvvaZ+idy9ezdBQUEEBgbi7+/P/PnzAXjxxReZPXu2uu/Ro0czceJEwDI4Xvfu3QkLC8Pf35+rV6/e9dhZ7WvUqEFQUBArVqzI03mfP3/eKmGm0Wj46KOPaNKkCX5+fixevFitO378OGFhYQQEBBAQEMCCBQsAOH36NKGhoQQEBBAYGMjq1autjjFv3rxc93fq1Ck6duxI48aNCQgIYM6cOVZxTJgwgcaNGzNu3Dhu3brF4MGDadKkCQEBAQwZMoS0tDQAnn76aUaPHk3z5s2pVq0aQ4cOBWD9+vWsWbOG//u//yMwMJCFCxfmOP8ffviBp556Cmfnew+m+/TTT6vndfXqVdq2bUudOnVo27YtvXv3Vt+ze3FycsLe3h6wjOeTkpJi9UtvQkICXbp0oU6dOrRo0YLz58/fd59HjhyhWbNmNGzYkDp16vDhhx+qdVn/flq3bk2tWrXo3LkzN2/ezHNd9n933377rfq+d+zYkcuXL5OSkkL9+vX54YcfAEtPlypVqnD9+vVcY+3Zs2eu74EQwvK36I8//sDR0ZGPPvrI1uHcpoiHFh8frwBKfHy8rUMRQgjxGCip1xWTyaRUqlRJGTNmTI66oUOHKpUqVVK2bNmi/PXXX0pISIgSEhKi1mdkZCj+/v5K27ZtlUOHDinh4eFKuXLllHHjxqltzp49qzg5OSlvvfWWcvz4cWXu3LmKTqdTwsPD8xXnA78/xkRFedfVshgTC759LgBl9uzZiqIoyqZNmxRnZ2dl8eLFiqIoysqVK5VGjRopiqIoZ86cUZo2baqe06lTpxRvb28lNTVVSUlJUW7duqUoiuV17tixo/Ldd98piqIoXbp0UZYvX64eLyYmRlEURRkwYIAya9YstfzNN99UJkyYoCiKokyYMEEpX768EhUVdd9jr127VqlTp44SHx+vmM1mpW/fvkrlypXve97nzp1T3N3drV6Hjz/+WFEURTl+/Lji4uKipKenK+np6UqNGjWszuH69euKoihKkyZNlAULFiiKoij//vuvUrp0aeX8+fP33F9GRoYSFBSkHD9+XFEURUlKSlLq1aun7N27V91u0qRJ6rEGDx6sfP3114qiKIrZbFYGDRqkzJgxQ1EURWnZsqXSrVs3JT09XUlOTlaqVKmi/Pnnn7m+vncaOHCg8vnnn6vrW7duVRwcHJT69eurS0ZGhtKyZUvl559/VhRFUXr06KGMHz9eURRFuXr1quLl5aW+Z3l5vQMCAhRnZ2elZ8+eitFoVBRFURYvXqzo9Xrln3/+URRFUaZPn64888wz991fQkKCkpqaqiiKoiQnJyuBgYFKRESEoiiWfz/lypVTrl69qiiKogwbNkwZPHhwnuqy/7s7cuSI4uXlpVy6dElRFEX58MMPlXbt2imKoignT55UKlasqOzdu1fx8/NTduzYcddYt2/frgQFBeXpdRKiJElJSVGqVKmiAHn+W/Kw8np9ltthhBBCCFEkbNq0icjISAYOHJijbtasWWi1Wrp3747RaCQsLIx58+ap9TqdjrVr1zJs2DBCQkJwdnZmwIABTJ48WW3j5+fHunXreOONN/j000+pWLEiCxcuJCws7JGcn6306tULgEaNGpGUlETv3r0BaNKkCadOnQIgPDyc06dP06JFC3U7rVZLZGQkFSpUYMyYMezatQtFUbh27Rr+/v707t2bVq1a8cEHH3Dq1Clat25Ns2bN8hRThw4d1EFq73XszZs307NnT3Wqw1deeYVdu3Y90OvQt29fwDKzkJ2dHVFRUcTHx5OamkqfPn3UdmXLluXWrVscOHCAP/74A4AaNWrQrFkzdu7cSeXKle+6v6zZiLJeY4Bbt27xzz//qN3As//7Xr16NREREcycOROw3Mai0+nU+l69emFnZ4ednR2BgYGcOXMmTz2XLl26RLt27azKcrsdJrvNmzfz8ccfA5Zbxzp16nTf42SpUqUKf//9N4mJifTr14+ffvpJfQ2efPJJateuDcCQIUN47733MJlMVud5p5SUFIYPH86hQ4fQarVcvHiRQ4cOqbf/dOzYUb3NbciQITz33HPqtveqy/7vbuvWrbRr144KFSoAMHz4cCZPnozJZOKJJ55g+vTphISEMHny5HuOL+Pt7c2lS5fy/FoJUVJ8+umnnD9/Hh8fH9566y1bh2NFkiBCCCGEKBLatm2Loii51jk4ODB37lzmzp171+0rV67M+vXr73mMp59+moMHDz5UnMVN1lSEWV86s69nZGQAlvu2n3nmGZYvX55j+w8//JBr166xZ88eHBwcGDVqFKmpqQCMHDmSrl27smnTJt555x38/f2ZN28ednZ2mEwmdR+pqam4uLio69mf3+vYd3qYAfWyT8mY/dzz6s5j57Y/RVEoXbr0PZMNd577jz/+yBNPPFGgMTs5Oanv0YN6kNfaxcWF3r17s2zZMqtEUH698847lC1bloMHD2JnZ8dzzz13z/O5V6zZ67K/9vfbx4EDByhXrtx9B0JOTU2955hCQpRE0dHRTJkyBYBp06bd99a8R03GBBFCCCGEKOHCwsLYtGkThw8fVsuyBpqNjY3F29sbBwcHoqKiWLVqldrm5MmT+Pn5MXjwYN555x11xpLq1aur29+8efOeyal7HTs0NJRVq1Zx69YtFEXhf//7n9W2bdq0yTEgbn7UrFkTJycnvvvuO7Xsxo0buLq60rBhQ3Wsj9OnT7Nr1y6r3ip325+bm5vVGCGnT58mJiYm1/bdunVj+vTpanIjNjaW06dP3zduNzc34uPj71ofEBDAyZMn77uf7Fq3bs2SJUsAyxeYtWvX5mm706dPk56eDljGBPn5558JCAhQ6yMiIjhx4gQACxcupFWrVuh0Oi5fvkytWrVy3WdsbCwVK1bEzs6OkydPsnHjRqv69evXq4McL1y4kNDQ0DzVZdeqVSvCw8O5cuUKAAsWLKBNmzZqr7INGzZw7Ngx9uzZw/fff3/X8z9+/Dj169e/52skREnz/vvvc+vWLRo1aqT2mitKJAkihBBCCFHCVa9eneXLl/PKK69Qv359ateurQ5s+t///pc9e/ZQt25dXnjhBasvlXPmzKFu3bo0aNCA9957j08++QSw3IZw/fp1ateuTf/+/e86i8n9jt2hQwd69OhBw4YNadSoEZUqVVK3M5lM/P3331SsWPGBz9vOzo5ffvmFxYsXU69ePerXr8+PP/4IwLJly/j++++pX78+PXr0YOHChVbHv9v+1q5dy08//URAQAB169Zl0KBBpKSk5Np+1qxZ6tS1AQEBtGnTJk8Dh77wwgusXLmSBg0a5DooZ48ePdiwYcP9X4BsPv30U3bu3EmdOnXo27cvwcHB6uCyf/31Fx06dMh1uy1bttCgQQPq169PgwYN8PLy4v3331frn3zyScaMGUPdunVZs2YNX3zxBQCXL1++6+w47733HosXLyYgIICxY8fSunVrq/rmzZvz/PPPU6tWLS5cuGA14OK96rLz9/fn//7v/2jXrh0BAQHs3LmTL7/8ksjISIYNG8b3339P6dKlWbVqFaNHj1ZvHevQoQN//fWXup/w8HB69Ohxn1dXiJLj8OHDLFq0CLh9K2tRo1Hu1u9U5FlCQgLu7u7Ex8er96wKIYQQD0quK0XbA78/aUkwubzl+dgzoHe6T/tkmFbN8nz8VdAXre7EtrZv3z6++OILmZnjLjp27MjEiRPzPCVlSkoK9vb22NnZcfPmTZo2bcrSpUsJDg4ulPj+7//+j/Lly9OvX798bTdx4kTi4uKsZh/KS11huHHjBq1bt+avv/5Cr9c/kmMKUZRl3d64efNm/vOf/7By5cpHevy8Xp9lTBAhhBBCiEctK7khHljjxo3z/AW/JPrss884fvx4ntufOnWK/v37oygKaWlpDB8+vNASIECRGyjxQZw5c4YFCxZIAkSITGvXrmXz5s3o9XqmT59u63DuSnqCFAD5xU4IIURBkutK0VYgPUHyS3qCCCGEKMLS0tKoV68e//77L2PGjGHatGmPPAbpCSKEEEIIUZTYO1mSGQ+6rRBCCFFEzZ8/n3///RdPT0/eeecdW4dzT0VvlJL7mDt3LlWqVMHBwYHg4OB7jgj+9NNPo9FociwdO3ZU27z44os56u+cV10IIYQQ4qFpNJbeHA+yPMTUsEIIIURhiomJYdKkSQB88MEHRb4Xa7HqCfL9998zatQoFixYQHBwMLNnzyYsLIyTJ0/i6emZo/1PP/1EWlqaun7z5k3q16/Pf/7zH6t27dq1s5rKzGAwFN5JCCGEEEIIIYQQj4lJkyYRGxtLvXr1GDRokK3Dua9ilQSZOXMmgwcP5qWXXgIs83mvW7eOr776irFjx+ZoX7p0aav1FStW4OTklCMJYjAY8Pb2znMcRqMRo9GorickJOTnNIQQQgghhBBCiGLvxIkTzJ07F7BMiavT6Wwc0f0Vm9th0tLS2L9/v9Xc9FqtltDQUCIiIvK0j0WLFtG7d2+cna0HFtu2bRuenp7UrFmTYcOGcfPmzXvuZ+rUqbi7u6uLr69v/k9ICCGEEEIIIYQoxkaPHo3JZKJz5860adPG1uHkSbFJgty4cQOTyYSXl5dVuZeXF1FRUffdfu/evRw9epSXX37Zqrxdu3Z88803bN68menTp7N9+3bat2+PyWS6677GjRtHfHy8uly8ePHBTkoIIYQQQgghhCiGNm7cyLp167Czs+Pjjz+2dTh5Vqxuh3kYixYtol69ejRp0sSqvHfv3urzevXqERAQQLVq1di2bdtdM1kGg0HGDRFCCCGEEEIIUSJlZGQwatQoAF599VWeeOIJG0eUd8WmJ0jZsmXR6XRER0dblUdHR993PI+kpCRWrFiRp0FaqlatStmyZTl9+vRDxSuEEEIIIYQQQjyOFi1axNGjR/Hw8GD8+PG2Didfik0SRK/XExQUxObNm9Uys9nM5s2bCQkJuee2q1atwmg00q9fv/se59KlS9y8eZPy5cs/dMxCCCGEEEIIIcTjJD4+nvfffx+AiRMn5piQpKgrNkkQgFGjRvHll1/y9ddfc/z4cYYNG0ZSUpI6W0z//v0ZN25cju0WLVpEt27dKFOmjFV5YmIib731Frt37+b8+fNs3ryZrl27Ur16dcLCwh7JOQkhhBBCCCGEEMXFRx99xPXr19WJRYqbYjUmSK9evbh+/Trjx48nKiqKwMBAwsPD1cFSIyMj0Wqt8zonT55k165d/P777zn2p9PpOHz4MF9//TVxcXH4+PjQtm1bPvjgAxnzQwghhBBCCCGEyObs2bPMnj0bgI8//hh7e3vbBvQANIqiKLYOorhLSEjA3d2d+Ph43NzcbB2OEEKIYk6uK0WbvD9CCCFKqv/85z/88MMPPPPMM2zYsAGNRmPrkFR5vT4Xq9thhBBCCCGEEEII8ejt2LGDH374Aa1Wy8yZM4tUAiQ/JAkihBBCCCGEEEKIuzKbzeqUuIMHD8bf39/GET04SYIIIYQQQgghhBDirr799lv279+Pm5sbkydPtnU4D0WSIEIIIYQQQgghhMhVUlIS77zzDgDvvvsunp6eNo7o4UgSRAghhBBCCCGEELmaMWMGV65cwc/Pj//+97+2DuehSRJECCGEEEIIIYQQOVy6dIn/+7//AyzJEIPBYOOIHp4kQYQQQgghhBBCCJHDuHHjSElJoXnz5nTv3t3W4RQISYIIIYQQQgghhBDCyt69e1m6dCkajYZZs2YV2ylx7yRJECGEEEIIIYQQQqgUReGNN94AoH///gQFBdk4ooIjSRAhhBBCCCGEEEKoVq5cyZ9//omTkxMfffSRrcMpUJIEEUIIIYQQQgghBACpqamMGTMGgDFjxuDj42PjiAqWJEGEEEIIIYQQQggBwKxZs7hw4QIVK1Zk9OjRtg6nwEkSRAghhBBCCCGEEERFRam3v0ydOhUnJycbR1TwJAkihBBCiCLh8uXL9OvXjzJlyuDo6Ei9evX466+/1HpFURg/fjzly5fH0dGR0NBQTp06ZbWPmJgY+vbti5ubG6VKlWLQoEEkJiZatTl8+DDNmzfHwcEBX19fZsyY8UjOTwghhCjq3n//fRITE2ncuDHPP/+8rcMpFHa2DkAIIUQBUBQwJsCtaLgVBcZbkJ4C6algMgIa0OpAowOtFrT2oHcGvVPm4gL2TrfL7J3gMZkGTRQPsbGxPPXUU7Rq1YrffvuNcuXKcerUKTw8PNQ2M2bM4LPPPuPrr7/Gz8+P999/n7CwMP755x8cHBwA6Nu3L1evXmXjxo2kp6fz0ksvMWTIEJYvXw5AQkICbdu2JTQ0lAULFnDkyBEGDhxIqVKlGDJkiE3OXQghhCgK/v77bxYtWgRYbonRah/PPhMaRVEUWwdR3CUkJODu7k58fDxubm62DkcIURIkx8C5nZbl6lG49g+kxBXc/jUa0LuCwSVzcbWsO7haEiYGFzC4WdcbMuscXLNtm1n2mF5EC0tJvK6MHTuWP/74g507d+ZarygKPj4+vPnmm+r9yfHx8Xh5ebFkyRJ69+7N8ePHqVOnDvv27aNRo0YAhIeH06FDBy5duoSPjw/z58/n3XffJSoqCr1erx579erVnDhxItdjG41GjEajup6QkICvr2+Jen+EEEI83hRFoU2bNmzdupVevXqxYsUKW4eUb3n9/CQ9QYQQorgwZcCJdbD/Wzi1CRQz2BnAsw7U6ghlqoKrN7h6gYM72DuCnSPY6S09RRQTmM2WR1OapadIWlK2JfmO9URITbA8GhMhNQ7iL1p6mRgTIT0577GriZNsCRU1eZItiWJwsU623JlQMbhaerSIx86aNWsICwvjP//5D9u3b6dChQoMHz6cwYMHA3Du3DmioqIIDQ1Vt3F3dyc4OJiIiAh69+5NREQEpUqVUhMgAKGhoWi1Wvbs2cOzzz5LREQELVq0UBMgAGFhYUyfPp3Y2FirnidZpk6dyqRJkwrx7IUQQgjbWrNmDVu3bsVgMDB9+nRbh1OoJAkihBBFnaLA0Z9h84dw4zQ4l4WQoVCzPVQKBnsH28RlyridIElLtNyOY8xcN966nSwx3oK0bM+NmW1vXc1Wn3j/42Wxd7ROmBiy91hxs06uWPVeySyzdwQ7B8vrZpe5SGLF5s6ePcv8+fMZNWoU77zzDvv27WPEiBHo9XoGDBhAVFQUAF5eXlbbeXl5qXVRUVF4enpa1dvZ2VG6dGmrNn5+fjn2kVWXWxJk3LhxjBo1Sl3P6gkihBBCPA7S0tLUXpajRo2icuXKNo6ocEkSpChTFDCbMn+9zbA8N2dYfv01Z1i+gKh1mWV3ts2tXDFn25fJuq1Vu6w6U844smKwapeR+3nkGFcgl3EG7myj0WUbv0AHGq3lUWt3u+xu5VljHmh0oLOz1GntQWcPOr1lsbPPLNNnK8/lUb4YCVtLuAq/jICTG6BsdfjPQqjbzdK7w9Z0duBYyrI8LLMZ0pOsEye5PbdKtmSrT7puXZ/fOz119pm9ZgyZSRKDdaIke8LEzsHy+uvsb/990eqyrdvd/vuhtbde1+Txb0piPnrZPCbMZjONGjVSR6Rv0KABR48eZcGCBQwYMMCmsRkMBgwGg01jEEIIIQrL3LlzOX36NF5eXowbN87W4RQ6SYIUpE/qg4MWyPzwrSh3PCfbOrnX3ZnsKOrUpINdZsLgzgTHHV9Ecv1ikksbJVvyxpbD1mi0txMnOrtszzMTJVlflOwcwD7rucHyZcpq3cH6i9WdX7Rya5M1OKUkYkqui/tg2fOQEgvPTIRmIyz/Dh9HWu3t210elqJYbtUx3qV3SkaqZUm/4/HO51nr6cmWMViy15vSMpPR6XdPAD8MY8kbrqt8+fLUqVPHqqx27dr8+OOPAHh7ewMQHR1N+fLl1TbR0dEEBgaqba5du2a1j4yMDGJiYtTtvb29iY6OtmqTtZ7VRgghhCgpbt68yeTJkwH48MMPcXUtgM9iRdxj+mnaRqq3BuesX4oykwEazR3P76i7swdE1q+Iau8GrfV69keN7v5t7yzL3ovizn1o7izPqtPm0s7u0Q10aNUjJnsPFvMdPVlMdynPXDLSwJxu+fJiyv6Y9fzO9Xs9pltm3MhIs3whMsZDYtYXJ+Ptx/SUh09mZSVE9C63EyPqDB65ze6RWa+2c7bcDmBwz3x0syRbZOaPou3f32F5X3AqC69sAp9AW0dUfGg0t//tu3rdv/3DyvobZc6w/I3J6qmXPUliNlnq8vr34FYifBxSuHEXMU899RQnT560Kvv333/VLrl+fn54e3uzefNmNemRkJDAnj17GDZsGAAhISHExcWxf/9+goKCANiyZQtms5ng4GC1zbvvvkt6ejr29vYAbNy4kZo1a+Z6K4wQQgjxOJs4cSJxcXHUr1+fl156ydbhPBIyO0wBKImj+Is8UjJ792RPimRPlKQbISMl23pWu+Q7Bq1MttwqkJZ8l+dJlvZ5pbWz/OLu4A4ObpnP3SwJEjVh4mZZHD3AqTQ4lcl8LG1JoojCc3oLLO0FpavCS2sezRd5UaSUxOvKvn37ePLJJ5k0aRI9e/Zk7969DB48mP/973/07dsXgOnTpzNt2jSrKXIPHz5sNUVu+/btiY6OZsGCBeoUuY0aNVKnyI2Pj6dmzZq0bduWMWPGcPToUQYOHMisWbPyPEVuSXx/hBBCPH6OHz9OvXr1MJlMbN68mdatW9s6pIcis8MIURRoNJm3ztgXTDf/ezGbM5MnydaJE2PS7dsAUuMts30YEyD1VuZjvKXu5tnbdWlJ9z6WvdPthIhTGXDKSpSUtXxhz5qhxCXzUWdfuOf+OIk+Dsv7gUdlGPgruHjefxshHgONGzfm559/Zty4cUyePBk/Pz9mz56tJkAA3n77bZKSkhgyZAhxcXE0a9aM8PBwNQECsGzZMl577TXatGmDVqule/fufPbZZ2q9u7s7v//+O6+++ipBQUGULVuW8ePH5zkBIoQQQjwuRo8ejclkokuXLsU+AZIf0hOkAMgvQuKxYzZZkiEp8ZbxKJJjIPlm5uOdzzOXlJi7J0+cytxOjLh6g5uP5Ut+qUrgUQncK1rGQinpkmNgQStLYmrYdstrJEokua4UbfL+CCGEKO5+//13wsLCsLOz49ixYzzxxBO2DumhFWpPkMjISC5cuEBycjLlypWjbt26Mmq6EI8Trc5yG4yjB1Al79ulJUNiNNyKhltRmUvm88TM51cPQ9IN6+00GnAtn5kUqQxlqkK5J6BcTShT3XZTwD5KigK//BfiIuHFNZIAEUIIIYQQhSIjI0Od+v31119/LBIg+ZHnJMj58+eZP38+K1as4NKlS2TvQKLX62nevDlDhgyhe/fuaB/VgJlCiKJF7wSl/SzLvaSnQvxFiI20fOmPjYS4C5bHM9vg7+9vt9VooFRl8KwJ5WpB+QCoEAilqz26wXkfhcM/wLFfoNVYqNrc1tEIIYQQQojH1JdffsmxY8coU6YM77//vq3DeeTydDvMiBEj+PrrrwkLC6Nz5840adIEHx8fHB0diYmJ4ejRo+zcuZMVK1ag0+lYvHgxjRs3fhTxFwnSLVaIApaaADf+hevZl5MQc9Zyqw5YxlgpH2CZNcW3EVR5ynKrTXGUcBU+D7Yke4ZukTFUhFxXijh5f4QQQhRXcXFx1KhRgxs3bvD555/z2muv2TqkAlOgt8M4Oztz9uxZypQpk6PO09OT1q1b07p1ayZMmEB4eDgXL14sUUkQIUQBc3CDio0sS3bpKRB9DC4fgiuZy+4v4M+5lvoy1aBKM/B7Cqq2BLfyjzjwB7R+nOVWoh5fSAJECCGEEEIUmilTpnDjxg1q1arFK6+8YutwbEIGRi0A8ouQEDaUngqXD8L5XXBuF0TuscyQA+DTAGq1g5rtLD1GNBqbhpqrszvhq47QYhS0nWjraEQRIdeVok3eHyGEEMXRmTNnqF27Nunp6axbt44OHTrYOqQCldfrc75vqG/dujVxcXG5HrAkTasjhCgi7B2gSgg8/Ra89Au8dxGGbIRWYwAFtkyF+S3hY3/4faJlCtqiwpQB68dYbuNp+aatoxFCCCGEEI+xt99+m/T0dNq2bUv79u1tHY7N5DsJsm3bNtLS0nKUp6amsnPnzgIJ6l7mzp1LlSpVcHBwIDg4mL1799617ZIlS9BoNFaLg4P1LBOKojB+/HjKly+Po6MjoaGhnDp1qrBPQwhRWHT2UCkY2rwLw3fA2yegy2zLjDM7Z1nG3pjzFOz+Hxhv2TbWv5ZA1FFoO8kyxokQQgghhBCFYPv27fz0009otVo++eQTNEWxh/QjkufZYQ4fPqw+/+eff4iKilLXTSYT4eHhVKhQoWCju8P333/PqFGjWLBgAcHBwcyePZuwsDBOnjyJp6dnrtu4ublx8uRJdf3ON3vGjBl89tlnfP311/j5+fH+++8TFhbGP//8kyNhIoQohtx8oMlAyxJ/GY78CAeXw9rRsHEyNHwegodA2eqPNq7kGNj0Afg2hvq9Hu2xhRBCCCFEiWE2m9UpcYcMGYK/v7+NI7KtPI8JotVq1QRCbps4Ojry+eefM3DgwIKNMJvg4GAaN27MnDlzAMub6evry+uvv87YsWNztF+yZAkjR47M9fYdsJyHj48Pb775JqNHjwYgPj4eLy8vlixZQu/evXPdzmg0YjQa1fWEhAR8fX3l3mAhigtFgfN/WAZVPb4WFDPU62G5habcI5onfe1oS2+UoVuhYtCjOaYoNmTMiaJN3h8hhBDFyZIlS3jppZdwc3Pj9OnTlCtXztYhFYoCHxPk3LlznDlzBkVR2Lt3L+fOnVOXy5cvk5CQUKgJkLS0NPbv309oaKhaptVqCQ0NJSIi4q7bJSYmUrlyZXx9fenatSvHjh2zOqeoqCirfbq7uxMcHHzPfU6dOhV3d3d18fX1fcizE0I8UhoN+DWDPt/CqCPQdCj8swY+awwrB0HMucI9fvQ/sHcRNOwnCRAhhBBCCFFoEhMTGTduHADvv//+Y5sAyY883w5TuXJlwNL7whZu3LiByWTCy8vLqtzLy4sTJ07kuk3NmjX56quvCAgIID4+no8//pgnn3ySY8eOUbFiRfWWntz2mf12nzuNGzdO7U4Et3uCCCGKoVIVoeN0aD7SMmbIvsWWhMhTr1tmbDG4FOzxFAXWjQV7J3hmQsHuWwghhBBCiGymT59OVFQU1apV4/XXX7d1OEVCvgdGBfj222956qmn8PHx4cKFCwDMmjWLX375pUCDe1ghISH079+fwMBAWrZsyU8//US5cuX44osvHmq/BoMBNzc3q0UIUcy5lYeOM+C/f0HN9rD9Y5gdZBlDpCBnEj++Fs5ug6ffBlev+zYXQgghhBDiQURGRvLxxx8DlrEwDQaDjSMqGvKdBJk/fz6jRo2iQ4cOxMXFYTKZAPDw8GD27NkFHZ+qbNmy6HQ6oqOjrcqjo6Px9vbO0z7s7e1p0KABp0+fBlC3e5h9CiEeMx6Voc83MHAdOJWG71+CZX0g4erD7zs9FX57F8pUg5BhD78/IYQQQggh7mLcuHGkpqbSsmVLnn32WVuHU2TkOwny+eef8+WXX/Luu++i0+nU8kaNGnHkyJECDS47vV5PUFAQmzdvVsvMZjObN28mJCQkT/swmUwcOXKE8uXLA+Dn54e3t7fVPhMSEtizZ0+e9ymEeExVbW6ZYrfNe3BqI3zWBPZ/+3C9QjZ/CLHnocM0sNMXWKhCCCGEEEJkt2fPHpYvX45Go2HmzJklekrcO+U7CXLu3DkaNGiQo9xgMJCUlFQgQd3NqFGj+PLLL/n66685fvw4w4YNIykpiZdeegmA/v37q4O+AEyePJnff/+ds2fPcuDAAfr168eFCxd4+eWXAct0uSNHjuTDDz9kzZo1HDlyhP79++Pj40O3bt0K9VyEEMWAzh5avQ3Dd1mm0P35Vfj6WYi7mP99Re6BPz6HwD5QM6zgYxVCCCGEEALLLKhvvPEGAAMGDKBhw4Y2jqhoyfPAqFn8/Pw4dOiQOlBqlvDwcGrXrl1ggeWmV69eXL9+nfHjxxMVFUVgYCDh4eHqwKaRkZFotbfzOrGxsQwePJioqCg8PDwICgrizz//pE6dOmqbt99+m6SkJIYMGUJcXBzNmjUjPDwcBweHQj0XIUQx4lUbhmyCP+fBpg/gs2Bo9wE0egm0ecglJ92ElS+Dizd0nFb48QohhBBCiBLr+++/JyIiAmdnZ6ZMmWLrcIocjaLkr2/3woULmThxIp988gmDBg1i4cKFnDlzhqlTp7Jw4UJ69+5dWLEWWXmdj1gI8Ri4cQp+fg0uRIBfC3j2cyjtd/f2xkT4pjtc+gte+hWqPPnoYhXFllxXijZ5f4QQQhRVKSkp1KpVi8jISD744APee+89W4f0yOT1+pzvniAvv/wyjo6OvPfeeyQnJ/P888/j4+PDp59+WiITIEKIEqZsDRj0G+z5H/w+ET5vCk++Cs1eB0cP67axkfD9i3B5Pzw7TxIgQgghhBCiUM2cOZPIyEh8fX158803bR1OkZTvniDZJScnk5iYiKenZ0HGVOzIL0JClFAx5yyzvRxfC3YOULsDVA6xPL90AP7+HhQTPDcfAnrYOlpRjMh1pWiT90cIIURRdP78efz9/UlKSmLZsmU8//zztg7pkSq0niApKSkoioKTkxNOTk5cv36d2bNnU6dOHdq2bftQQQshRLFS2g/6LodL+2HfEji2Go78ZKmzc4Ba7eGZ8ZYpcYUQQgghhCgkUVFRPPPMMyQlJdG0aVP69Olj65CKrHwnQbp27cpzzz3H0KFDiYuLo0mTJuj1em7cuMHMmTMZNmxYYcQphBBFV8Ugy9L1U4i/COYMcC0PeidbRyaEEEIIIR5zMTExPPPMM5w+fRo/Pz9++OEHmRL3HvI9Re6BAwdo3rw5AD/88APe3t5cuHCBb775hs8++6zAAxRCiGJDqwWPypaeH5IAEUIIIYQQhezWrVu0b9+eo0ePUr58eTZt2kSFChVsHVaRlu+eIMnJybi6ugLw+++/89xzz6HVamnatCkXLlwo8ACFEEIIUTRdvnyZH3/8kX///Re9Xk/NmjXp2bMnHh4e999YCCGEEA8lJSWFLl26sHfvXsqUKcOmTZuoWrWqrcMq8vLdE6R69eqsXr2aixcvsmHDBnUckGvXrsngYEIIIUQJMW/ePKpVq8bIkSNZunQpX331FcOGDaNixYp89913ACiKwsGDB20cqRBCCPH4SUtL4z//+Q/btm3D1dWVDRs2UKdOHVuHVSzkOwkyfvx4Ro8eTZUqVQgODiYkJASw9App0KBBgQcohBBCiKJl3bp1jBgxgtdee43Lly8TFxdHXFwcly9f5pVXXmHAgAHs2rWLvn378uuvv9o6XCGEEOKxYjKZ6N+/P+vWrcPR0ZF169YRFBRk67CKjTxNkXv48GH8/f3Rai05k6ioKK5evUr9+vXVsr179+Lm5katWrUKN+IiSKbKE0IIUZCK+nXl6aefplmzZnz44Ye51r/33nt88skneHt7s23bNipXrvyIIyxcRf39EUII8fhSFIUhQ4awcOFC7O3tWbNmDe3atbN1WEVCXq/PeeoJ0qBBA27cuAFA1apVsbe3p0GDBmoCBKBJkyYlMgEihBBClDQHDhzghRdeuGv9Cy+8gNFoZPv27Y9dAkQIIYSwFUVRGD16NAsXLkSr1bJ8+XJJgDyAPCVBSpUqxblz5wA4f/48ZrO5UIMSQgghRNFlMpmwt7e/a729vT2Ojo5UqlTpEUYlhBBCPN4++OADZs6cCcCiRYvo0aOHjSMqnvI0O0z37t1p2bIl5cuXR6PR0KhRI3Q6Xa5tz549W6ABCiGEEKJoqVu3Lr/88gtvvPFGrvWrV6+mbt26jzgqIYQQ4vE1e/ZsJkyYAMCnn37Kiy++aNuAirE89QT53//+x+rVq3nzzTdRFIXBgwfz3//+N9dFCCGEEI+3V199lXfffZd58+aRkZGhlmdkZDB37lzee+89hg8fnq99Tpw4EY1GY7Vkv802NTWVV199lTJlyuDi4kL37t2Jjo622kdkZCQdO3bEyckJT09P3nrrLav4ALZt20bDhg0xGAxUr16dJUuW5P8FEEIIIR6hRYsWqT88fPDBB4wYMcLGERVveeoJcvjwYdq2bUu7du3Yv38///3vf3F1dS3s2IQQQghRBA0YMIAjR47w2muvMW7cOKpVq4aiKJw9e5bExERGjBjxQL9Q1a1bl02bNqnrdna3P6a88cYbrFu3jlWrVuHu7s5rr73Gc889xx9//AFYbtHp2LEj3t7e/Pnnn1y9epX+/ftjb2/PRx99BMC5c+fo2LEjQ4cOZdmyZWzevJmXX36Z8uXLExYW9nAvihBCCFEIVq5cyeDBgwEYPXo07777ro0jKv7yNDuMTqfj6tWreHp6UrVqVfbt20eZMmUeRXzFgowSL4QQoiAVl+vK7t27+e677zh16hQANWrUoE+fPjRt2jTf+5o4cSKrV6/m0KFDOeri4+MpV64cy5cvV+9/PnHiBLVr1yYiIoKmTZvy22+/0alTJ65cuYKXlxcACxYsYMyYMVy/fh29Xs+YMWNYt24dR48eVffdu3dv4uLiCA8Pz3OsxeX9EUIIUbytX7+erl27kpGRwZAhQ1iwYAEajcbWYRVZeb0+56knSNbAqJ6enjIwqhBCCCEAaNq06QMlPO7m1KlT+Pj44ODgQEhICFOnTqVSpUrs37+f9PR0QkND1ba1atWiUqVKahIkIiKCevXqqQkQgLCwMIYNG8axY8do0KABERERVvvIajNy5Mh7xmU0GjEajep6QkJCwZywEEIIcRfbt2+ne/fuZGRk8PzzzzNv3jxJgBQQGRhVCCGEEDYXHBzMkiVLqFmzJlevXmXSpEk0b96co0ePEhUVhV6vp1SpUlbbeHl5ERUVBUBUVJRVAiSrPqvuXm0SEhJISUnB0dEx19imTp3KpEmTCuI0hRBCiPvat28fnTp1IjU1lc6dO7NkyZK7fv8W+ZenJMj//vc/nnvuOU6fPs2IESMYPHiwjAkihBBCiALTvn179XlAQADBwcFUrlyZlStX3jU58aiMGzeOUaNGqesJCQn4+vraMCIhhBCPq6NHj9KuXTsSExNp3bo1K1euvOe09CL/8pQEAWjXrh2ADIwqhBBCiEJXqlQpnnjiCU6fPs0zzzxDWloacXFxVr1BoqOj8fb2BsDb25u9e/da7SNr9pjsbe6cUSY6Oho3N7d7JloMBgMGg6EgTksIIYS4q6xrXkxMDE2bNuWXX37BwcHB1mE9dvI0RW52ixcvVhMgly5d4tKlSwUelBBCCCGKNkVRiIyMJDU1tVD2n5iYyJkzZyhfvjxBQUHY29uzefNmtf7kyZNERkYSEhICQEhICEeOHOHatWtqm40bN+Lm5kadOnXUNtn3kdUmax9CCCGErVy6dInQ0FCioqIICAhg/fr1uLi42Dqsx1K+kyBms5nJkyfj7u5O5cqVqVy5MqVKleKDDz6QAVOFEEKIEkJRFKpXr87FixcLZH+jR49m+/btnD9/nj///JNnn30WnU5Hnz59cHd3Z9CgQYwaNYqtW7eyf/9+XnrpJUJCQtSBWdu2bUudOnV44YUX+Pvvv9mwYQPvvfcer776qtqLY+jQoZw9e5a3336bEydOMG/ePFauXMkbb7xRIOcghBBCPIhr164RGhrKhQsXqFGjBr///jseHh62DuuxlefbYbK8++67LFq0iGnTpvHUU08BsGvXLiZOnEhqaipTpkwp8CCFEEIIUbRotVpq1KjBzZs3qVGjxkPv79KlS/Tp04ebN29Srlw5mjVrxu7duylXrhwAs2bNQqvV0r17d4xGI2FhYcybN0/dXqfTsXbtWoYNG0ZISAjOzs4MGDCAyZMnq238/PxYt24db7zxBp9++ikVK1Zk4cKFhIWFPXT8QgghxIOIi4sjLCyMkydP4uvry6ZNm3IM4i0KlkZRFCU/G/j4+LBgwQK6dOliVf7LL78wfPhwLl++XKABFgd5nY9YCCGEyIvicl359ddfmTFjBvPnz8ff39/W4TwyxeX9EUIIUbQlJSXRtm1b/vzzTzw9Pdm5cydPPPGErcMqtvJ6fc53T5CYmBhq1aqVo7xWrVrExMTkd3dCCCGEKKb69+9PcnIy9evXR6/X5xhcVD4XCCGEELlLTU2lW7du/Pnnn5QqVYqNGzdKAuQRyXcSpH79+syZM4fPPvvMqnzOnDnUr1+/wAITQgghRNE2e/ZsW4cghBBCFDsZGRn06dOHTZs24ezszG+//UZAQICtwyox8p0EmTFjBh07dmTTpk3qaOoRERFcvHiR9evXF3iAQgghhCiaBgwYYOsQhBBCiGLFbDYzcOBAVq9ejcFgYM2aNeog3+LRyHcSpGXLlvz777/MnTuXEydOAPDcc88xfPhwfHx8CjxAIYQQQhRdJpOJ1atXc/z4cQDq1q1Lly5d0Ol0No5MCCGEKFoUReH111/n22+/xc7OjlWrVtG6dWtbh1Xi5DsJApbBUWUWGCGEEKJkO336NB06dODy5cvUrFkTgKlTp+Lr68u6deuoVq2ajSMUQgghio533nmHefPmodFo+Oabb+jcubOtQyqRtHlpFBkZma+dlsQZYoQQQoiSZsSIEVSrVo2LFy9y4MABDhw4QGRkJH5+fowYMcLW4QkhhBBFxtSpU5k2bRoACxYsoE+fPjaOqOTKUxKkcePGvPLKK+zbt++ubeLj4/nyyy/x9/fnxx9/LLAAhRBCCFE0bd++nRkzZlC6dGm1rEyZMkybNo3t27fbMDIhhBCi6Jg7dy7vvPMOAP/3f//HkCFDbBxRyZanJMg///yDs7MzzzzzDN7e3nTs2JHBgwfz+uuv069fPxo2bIinpydfffUVM2bMKNRff+bOnUuVKlVwcHAgODiYvXv33rXtl19+SfPmzfHw8MDDw4PQ0NAc7V988UU0Go3V0q5du0KLXwghhHhcGAwGbt26laM8MTERvV5vg4iEEEKIouWbb77htddeA+D9999n9OjRNo5I5CkJUqZMGWbOnMnVq1eZM2cONWrU4MaNG5w6dQqAvn37sn//fiIiIujQoUOhBfv9998zatQoJkyYwIEDB6hfvz5hYWFcu3Yt1/bbtm2jT58+bN26lYiICHx9fWnbtm2O23XatWvH1atX1eW7774rtHMQQgghHhedOnViyJAh7NmzB0VRUBSF3bt3M3ToULp06WLr8IQQQgib+vnnn3nppZcAyy2kkyZNsnFEAkCjKIpi6yDyKjg4mMaNGzNnzhzAMr2Qr68vr7/+OmPHjr3v9iaTCQ8PD+bMmUP//v0BS0+QuLg4Vq9e/cBxJSQk4O7uTnx8PG5ubg+8HyGEEAKKz3UlLi6OAQMG8Ouvv2Jvbw9ARkYGXbp0YfHixZQqVcq2ARaS4vL+CCGEsJ3ff/+dzp07k5aWxksvvcTChQvRavPUB0E8oLxenx9odhhbSEtLY//+/YwbN04t02q1hIaGEhERkad9JCcnk56ebnXvMlh6jHh6euLh4UHr1q358MMPKVOmzF33YzQaMRqN6npCQkI+z0YIIYQo/kqVKsUvv/zC6dOn1Slya9euTfXq1W0cmRBCCGE7f/zxB926dSMtLY0ePXrw5ZdfSgKkCCk278SNGzcwmUx4eXlZlXt5eREVFZWnfYwZMwYfHx9CQ0PVsnbt2vHNN9+wefNmpk+fzvbt22nfvj0mk+mu+5k6dSru7u7q4uvr+2AnJYQQQhRjkydPJjk5merVq9O5c2c6d+5M9erVSUlJYfLkybYOTwghhHjkDhw4QIcOHUhJSaFdu3YsW7YMnU5n67BENsUmCfKwpk2bxooVK/j5559xcHBQy3v37k2XLl2oV68e3bp1Y+3atezbt49t27bddV/jxo0jPj5eXS5evPgIzkAIIYQoWiZNmkRiYmKO8uTkZLnvWQghRIlz/PhxwsLCSEhIoHnz5vz4448yUHgRVGySIGXLlkWn0xEdHW1VHh0djbe39z23/fjjj5k2bRq///47AQEB92xbtWpVypYty+nTp+/axmAw4ObmZrUIIYQQJY2iKGg0mhzlf//9d45bT4UQQojH2fnz53nmmWe4ceMGQUFBrF27FicnJ1uHJXJRbJIger2eoKAgNm/erJaZzWY2b95MSEjIXbebMWMGH3zwAeHh4TRq1Oi+x7l06RI3b96kfPnyBRK3EEII8bjx8PCgdOnSaDQannjiCUqXLq0u7u7uPPPMM/Ts2dPWYQohhBCPxJUrV2jTpg2XL1+mTp06hIeHyw/lRdgDDYz67bffsmDBAs6dO0dERASVK1dm9uzZ+Pn50bVr14KOUTVq1CgGDBhAo0aNaNKkCbNnzyYpKUmddqh///5UqFCBqVOnAjB9+nTGjx/P8uXLqVKlijp2iIuLCy4uLiQmJjJp0iS6d++Ot7c3Z86c4e2336Z69eqEhYUV2nkIIYSiKEReiuLixSiir90kMTGZtPR0ADQaDQ4GPQ4OBhwdDTg7OeLq6oyrizMuLk64ujrj7OQgA2wJm5k9ezaKojBw4EAmTZqEu7u7WqfX66lSpco9f6AQQgghHhc3b96kbdu2nD17lqpVq7Jx40bKli1r67DEPeQ7CTJ//nzGjx/PyJEjmTJlijqAaKlSpZg9e3ahJkF69erF9evXGT9+PFFRUQQGBhIeHq4OlhoZGWn1pWD+/PnqiLzZTZgwgYkTJ6LT6Th8+DBff/01cXFx+Pj40LZtWz744AMMBkOhnYcQomS7cvU623f9RXx8IlqtFs9yHvj6eqPXW6YYVcwKRmMaKalGkpNTuXY9BqMx3WofGo0GF2dHXFyccXV1wsXZCVcXJ6t1OzsZhEsUjgEDBgDg5+fHU089hZ1dsZlsTgghhCgwCQkJtGvXjmPHjuHj48OmTZvw8fGxdVjiPjSKoij52aBOnTp89NFHdOvWDVdXV/7++2+qVq3K0aNHefrpp7lx40ZhxVpk5XU+YiGEOHrsNLsiDuLi4kTjoLpU8/PNU7IiLS2dW4nJ3LqVxK3EJBITk0m4ZXm8lZhMaqoxxzaODgZcXJ1wdXG2JEicnXBydsTJ0QFnJwecnBwlUVJEFZfryvr169HpdDl6T27YsAGz2Uz79u1tFFnhKi7vjxBCiMKTnJxM+/bt2bFjB2XLlmXHjh3Url3b1mGVaHm9Puf7p5tz587RoEGDHOUGg4GkpKT87k4IIUqME/+eZ1fEQXwrevFM6xC150de6PX2lCntTpnS7rnWp2dkkJSYwq3EJG4lJpOYudxKTOLa9RjOnb9Mbjlvvd4eJ0cHnJwccHZyxCkzOeLk5ICjgwEHBwMODnocDAZJmIgcxo4dy7Rp03KUK4rC2LFjH9skiBBCiJIt626DHTt24ObmxoYNGyQBUozkOwni5+fHoUOHqFy5slV5eHi4vPFCCHEXsXEJ7PrjAN5eZQgLfarAEwr2dnaUKuVKqVKuudabzWaSk1NJSk4lOSWF5OTUzCXzeUoql69eIyXFmGuyBMDe3s4yVomjAQeDwTpJ4mDAwaDHYNBj0Nujz3rU2+c6e0hJoygKGSYTRmM6aWlpmY/pGNPSSDNmPqalq/WxcXG2DjlPTp06RZ06dXKU16pV656zrAkhhBDFlclkol+/fvz22284Ojqybt06GjZsaOuwRD7kOwkyatQoXn31VVJTU1EUhb179/Ldd98xdepUFi5cWBgxFhtxcbdQ0KLVaNBoLY9arQaNRoNWq818tKzLlwLLlwKzomA2m1HMlkezOZcy5XadomS2MZtRFIW738x177u8st6DrPdGfZ8y37us90qb1U6b9b5ayrQ6LTqtDq1W3keRN3/uPoRGq6FNq6Y26VGh1WpxcXHCxeXeU7WZzQqpqUaSU1JJTTWSmmokJdVIampatudGkpJSuHkzjtRUI+b73FWp19tbJUYMej16g6XMYNBjb2+Pvb0d9nZ2lsesxc4Ou2zPbfn/zWQ2k56WTlp6hvqYlp5Oelo6xrR0jMbMJEZaOmnGNEuZmuCwJDbM5vv/XbK8TvaYMtLv2baocHd35+zZs1SpUsWq/PTp0zg7O9smKCGEEKKQmM1mBg8ezKpVq7C3t+fnn3+mWbNmtg5L5FO+kyAvv/wyjo6OvPfeeyQnJ/P888/j4+PDp59+Su/evQsjxmLjx1824eiYt7mgsydEtHd+yb7jC7dGk/klXatBq9FaJVK0d90uW9Ill+0A9dfe7I8KgJJbmWJJWpgVTGZzZlLidkIi+3qOelPmcyV7e+WuvzYXJxqNBp1Oi06nRavVotPp0Gm1mWW6zLLMRauzJE90WnRaLVqdDjudDju77IvdHWV2lkfd7XVdZp1OZgYpNq5cvc7FS9E0aeSP632SELam1Woyb4lxyFN7RVFIS88gNcVIqtFo1ZshKzlwZ2IgKSlFTRDcL4GSnZ1Oh529nfrvP/v/O/X/Wla5Tof2PslmRbH8vTKZTJhMZkwmM2bz7ecms4n0NEuyw2Qy5ynGrISPwaBHr7fHxclJTfjo9XoMhswkkN4egyGzLLO9nZ1O/fuckJCQ59fFlrp27crIkSP5+eefqVatGmBJgLz55pt06dLFxtEJIYQQBUdRFEaNGsXixYvRarWsWLFCZhQtpvI9MGp2ycnJJCYm4unpWZAxFTtZA7Ds238YZydnzIpi6cWg3P6yn70Xg6Lc7uGgZPZ8UKzWM9tlPr+9vXUCIas3xF23y9p39p4VubzdGg1o0IAGQGO1rtFoMost5VqNFm3mFw9tZuJFp7Ve12Zb192xnvP57SRPVm8ZnVZrldTRZq7rsvfQyHz+oD1qFEWxfl2zv153vu7Z2mS1t3xJMmE2m9XnJrMZc7YvT7e/VGX7kpX53Jz1PMOUry+B2Wk1GsuXwczkiL2dTv1FXa+3V39N19vf8VxvXWZvb48+87n0UCocv23YxdXoG7zQpxP29jKLRhZFUcjIMFl6VKRnkJGeQXpGBunpmUv255nrljbZ/g9l/3+Y9X8w8//f/S5vGrIlMe9IYOq0WnR2OvX/jV6f7f+K3t6qLKuXi74A/w8Vl4E34+PjadeuHX/99RcVK1YE4NKlSzRv3pyffvqJUqVK2TbAQlJc3h8hhBAFZ8KECUyePBmAJUuWqDOliaKjUAdGzcjIoEaNGjg5OeHkZPlV89SpU9jb2+foEluSPFG9cpH/MJR1C4kmM8EhbC8rGZKRYSIjI4MMU9bzzPWs56Y71u8oy/qimJKSSkJCoqXbfj5+wdZoyLxNQZ85toPlF2uDIftinznmg6WNo6MBg8EgtwXdw61bSVy4eJXAgJqSALmDRqNRk3GieHJ3d+fPP/9k48aN/P333zg6OhIQEECLFi1sHZoQQghRYD755BM1AfL5559LAqSYy/cnzxdffJGBAwdSo0YNq/I9e/awcOFCtm3bVlCxiUKgyezRIYoOnVaLTq/N10wh+WEZy8CSEElPz1CTI9mfp6VlZN7GkIYxLQ2jMY3k5FRiYxMwplna3o1GAw4OBpwcHXB0dMh8NKjPnZwcLGNRODuVyNlFTp2JBKDmE1VsG4gQhUSj0dC2bVvatm1r61CEEEKIAvfll18yevRoAKZMmcJrr71m44jEw8p3EuTgwYM89dRTOcqbNm0q/yCEKIJ0Wi06Bz0ODvoH3ofJZCYtLY1Uo2VWC6MxjVSjkZQUIykpqaSkWAbSTElJJSYmnpTU1FwHrXVwMOCamRDJGqTTzdUZd3dX3N2c0ekevyTJ6TMXKVfWA49SRbuXmBAPKikpie3btxMZGUlaWppV3YgRI2wUlRBCCPHwVqxYwSuvvALAmDFjGDdunI0jEgUh30kQjUbDrVu3cpTHx8djMpkKJCghRNGi02lxzOzpkReKopCamkZKSipJySkkJiaTmJTMrcRkEhOTuRkbx4WLVzGbb9+qo9GAq6sz7m6WaV49SrlRtkwpSnu4F9seJIlJycTExtM4qK6tQxGiUBw8eJAOHTqQnJxMUlISpUuX5saNGzg5OeHp6SlJECGEEMXW2rVreeGFF1AUhWHDhjF16lQZTuAxke8kSIsWLZg6dSrfffed+qutyWRi6tSpMj2QEAKwJEstt8QYKF3aPdc2iqKQnJJKQkIScfG3iI+/RVz8LeLibnH5SrQ6nahWo8HDw40yZUpRrqwH5b3LUaa0e7G4CF26FA2Ab0VvG0ciROF444036Ny5MwsWLMDd3Z3du3djb29Pv379+O9//2vr8IQQQogHsnXrVnr06EFGRgZ9+/Zlzpw5xeKzp8ibfCdBpk+fTosWLahZsybNmzcHYOfOnSQkJLBly5YCD1AI8XjSaDQ4Ozni7ORIee+yVnVms5m4+ERu3Ijlxs04btyM5fyFK/x76gJgmYa0vHdZfLzLUbGiN6U93IrkhenipSgcHPSUK+th61CEKBSHDh3iiy++UKcqNhqNVK1alRkzZjBgwACee+45W4cohBBC5MuePXvo3LkzRqORrl27qlPiisdHvpMgderU4fDhw8yZM0cdCb5///689tprlC5dujBiFEKUMFqtltIebpT2cOOJGpUBS8+R+IRErl69zpWo61y9ep0LkVdh72FcXZ2pUtkHv8oVKO9dtkgkRMxmhUtXovGt6F0k4hGiMNjb26sfDD09PYmMjKR27dq4u7tz8eJFG0cnhBBC5M/hw4dp3749SUlJtGnThhUrVmBvXziTFwjbeaCUlo+PDx999BHr1q3jhx9+YPz48ZIAEUIUKo1GQyl3V2rXqkqbp4Pp27sjz/dsz1Mhgbi5OnPs2GnWrNvGsu/Xs2//MRJuJdk03tjYeIzGdCqU97RpHEIUpgYNGrBv3z4AWrZsyfjx41m2bBkjR47E39//ofY9bdo0NBoNI0eOVMtSU1N59dVXKVOmDC4uLnTv3p3o6Gir7SIjI+nYsaM6Lslbb71FRob1DFfbtm2jYcOGGAwGqlevzpIlSx4qViGEEMXfqVOnaNu2LbGxsYSEhLB69WocHPI2Hp4oXvLdEwQgLi6OvXv3cu3aNauBDQH69+9fIIEJIcS9aDQa3NxcqFe3BvXq1sBoTOPchSuc/Pcc+w/+w/6D/1C5Unka1K+Nt1eZRx5f9PUYALw8H/2xhXhUPvroI3Ww9ClTptC/f3+GDRtGjRo1+Oqrrx54v/v27eOLL74gICDAqvyNN95g3bp1rFq1Cnd3d1577TWee+45/vjjD8AyRlnHjh3x9vbmzz//5OrVq/Tv3x97e3s++ugjAM6dO0fHjh0ZOnQoy5YtY/Pmzbz88suUL1+esLCwB45ZCCFE8RUZGUloaCjR0dHUr1+f9evX4+LiYuuwRCHRKEpuE1ne3a+//krfvn1JTEzEzc36PnyNRkNMTEyBB1nUJSQk4O7uTnx8PG5uMg2mELYWF3+LEyfP8c/xM6SlZ1DeuxzBjes90mTIth1/cebcRV56oRtardwOI/KnKF9X1qxZQ/v27Qute3BiYiINGzZk3rx5fPjhhwQGBjJ79mzi4+MpV64cy5cvp0ePHgCcOHGC2rVrExERQdOmTfntt9/o1KkTV65cwcvLC4AFCxYwZswYrl+/jl6vZ8yYMaxbt46jR4+qx+zduzdxcXGEh4fnKcai/P4IIYTIn+joaFq0aMG///5LzZo12bFjB56e0pO3OMrr9Tnft8O8+eabDBw4kMTEROLi4oiNjVWXkpgAEUIUPaXcXWnaJIC+fTrRpJE/sbHxrP51C5u37SEpKeWRxHDtegzlynpIAkQ8dp599lni4uIA0Ol0XLt2rUD3/+qrr9KxY0dCQ0Otyvfv3096erpVea1atahUqRIREREAREREUK9ePTUBAhAWFkZCQgLHjh1T29y577CwMHUfuTEajSQkJFgtQgghir/Y2Fjatm3Lv//+S6VKldi4caMkQEqAfCdBLl++zIgRI3ByciqMeIQQosAY9PY0DKxNn57tCfCvwZkzF/n+xw2cOh1ZqMdNT88gNi5eboURj6Vy5cqxe/duwDJgcUEO/LtixQoOHDjA1KlTc9RFRUWh1+spVaqUVbmXlxdRUVFqm+wJkKz6rLp7tUlISCAlJfck6dSpU3F3d1cXX1/fBzo/IYQQRUdiYiIdOnTg8OHDeHl5sWnTJvn7XkLkOwkSFhbGX3/9VRixCCFEoTAY9DzZNJAez7XF3c2Fzdv2sHnbHjIyTIVyvOs3YlEU8CwnA0aLx8/QoUPp2rUrOp0OjUaDt7c3Op0u1yU/Ll68yH//+1+WLVtW5AaiGzduHPHx8eoiM98IIUTxlpqaSteuXdm9ezceHh5s3LiRGjVq2Dos8Yjke2DUjh078tZbb/HPP/9Qr169HPcEd+nSpcCCE0KIglTaw41unVvz14FjHPz7BHHxt2j3zFM4OzkW6HFuxsQBUKZMqQLdrxBFwcSJE+nduzenT5+mS5cuLF68OEfvjAexf/9+rl27RsOGDdUyk8nEjh07mDNnDhs2bCAtLY24uDir40VHR+Pt7Q2At7c3e/futdpv1uwx2dvcOaNMdHQ0bm5uODrm/rfAYDBgMBge+hyFEELYXnp6Or169WLLli24uLgQHh5OvXr1bB2WeITynQQZPHgwAJMnT85Rp9FoMJkK55dVIYQoCDqdluDG9ShT2p2tO/bx85otdOnQEje3ghsBPCY2AXt7O1xd5LZB8XiqVasWtWrVYsKECfznP/8pkFtk27Rpw5EjR6zKXnrpJWrVqsWYMWPw9fXF3t6ezZs30717dwBOnjxJZGQkISEhAISEhDBlyhSuXbum3tO9ceNG3NzcqFOnjtpm/fr1VsfZuHGjug8hhBCPL7PZzIsvvsiaNWtwcHDg119/pUmTJrYOSzxi+U6C3DklrhBCFEfVq1XCxcWZ9eE7WLNuG106Pl1giZCYmHg8SrkV6FgJQhRFEyZMKLB9ubq64u/vb1Xm7OxMmTJl1PJBgwYxatQoSpcujZubG6+//johISE0bdoUgLZt21KnTh1eeOEFZsyYQVRUFO+99x6vvvqq2pNj6NChzJkzh7fffpuBAweyZcsWVq5cybp16wrsXIQQQhQ9iqIwfPhwli9fjp2dHT/88ANPP/20rcMSNpDvMUGEEOJx4e1Vho7tW5KWls76DbswGtMeep+KohAbl0BpD/cCiFAIkd2sWbPo1KkT3bt3p0WLFnh7e/PTTz+p9TqdjrVr16LT6QgJCaFfv37079/fqveqn58f69atY+PGjdSvX59PPvmEhQsXEhYWZotTEkII8QgoisKYMWP44osv0Gg0LF26lI4dO9o6LGEjGkVRlPxulJSUxPbt24mMjCQtzfpLw4gRIwosuOIir/MRCyGKpkuXo1kfvhNv77J0bN8CnfbB88OJScks/W4dTzatT4D/EwUYpShJ5LpStMn7I4QQxcuUKVN47733APjyyy95+eWXbRyRKAx5vT7n+3aYgwcP0qFDB5KTk0lKSqJ06dLcuHEDJycnPD09S2QSRAhRvFWs4EWzpxqyY9d+/tp/jODGDz44VkxMAoD0BBFCCCGEKAI+//xzNQHyySefSAJE5P92mDfeeIPOnTsTGxuLo6Mju3fv5sKFCwQFBfHxxx8XRoxCCFHoatf0o3q1Shz8+wSXr1x74P3ExMYDkgQRJcPZs2dtHYIQQghxV0uWLFF/pJ8wYQKjRo2ycUSiKMh3EuTQoUO8+eabaLVadDodRqMRX19fZsyYwTvvvFMYMQohRKHTaDS0eKohrq7ObN2xj/T0jAfaT0xsPAaDHkdHmU5TPP6qV69Oq1atWLp0KampqbYORwghhFD9+OOPDBo0CICRI0cW6GDeonjLdxLE3t4ebeb98p6enkRGRgLg7u7OxYsXCzY6IYR4hPR6e1o8FURiYjIHDh1/oH3ExiZQ2kNmhhElw4EDBwgICGDUqFF4e3vzyiuvsHfvXluHJYQQooQLDw+nT58+mM1mBg0axMyZM+WzmVDlOwnSoEED9u3bB0DLli0ZP348y5YtY+TIkTmmthNCiOLGt6IX1ar68vfhk8TGJuRrW7NZyUyCyK0womQIDAzk008/5cqVK3z11VdcvXqVZs2a4e/vz8yZM7l+/bqtQxRCCFHC7Ny5k+eee4709HR69uypzggjRJZ8J0E++ugjypcvD1hG2fXw8GDYsGFcv36dL774osADFEKIR+3J4PpodVr2/nU0X9vdupVEhskkSRBR4tjZ2fHcc8+xatUqpk+fzunTpxk9ejS+vr7079+fq1ev2jpEIYQQJcD+/fvp2LEjKSkpdOjQgW+//RadTmfrsEQRk+/ZYRo1aqQ+9/T0JDw8vEADEkIIW3N2dqRe3Roc/PsE167H4FmudJ62UwdFLS1TZoqS5a+//uKrr75ixYoVODs7M3r0aAYNGsSlS5eYNGkSXbt2ldtkhBBCFKp//vmHsLAwbt26RcuWLfnhhx/Q6/W2DksUQfnuCdK6dWvi4uJylCckJNC6deuCiEkIIWyufr2a6O3t2Lc/771BspIgHqWkJ4goGWbOnEm9evV48sknuXLlCt988w0XLlzgww8/xM/Pj+bNm7NkyRIOHDhg61CFEEI8xs6ePUtoaCg3b96kcePGrFmzBkdHR1uHJYqofCdBtm3bRlpaWo7y1NRUdu7cWSBB3cvcuXOpUqUKDg4OBAcH3/eXpVWrVlGrVi0cHByoV68e69evt6pXFIXx48dTvnx5HB0dCQ0N5dSpU4V5CkKIYsDBQU9AvZpcvBTN9RuxedomJjYBJycHHBzkVwdRMsyfP5/nn3+eCxcusHr1ajp16qQOnp7F09OTRYsW2ShCIYQQj7vLly8TGhrK1atXqVu3Lr/99htubtIrV9xdnpMghw8f5vDhw4Clq1HW+uHDhzl48CCLFi2iQoUKhRYowPfff8+oUaOYMGECBw4coH79+oSFhXHt2rVc2//555/06dOHQYMGcfDgQbp160a3bt04evT2L7szZszgs88+Y8GCBezZswdnZ2fCwsJkqj8hBP51qmGn03H4yL95ah8TEy/jgYgSZePGjYwZM0YdKyyLoijq7HF6vZ4BAwbYIjwhhBCPuRs3bvDMM89w7tw5qlWrxsaNGylTpoytwxJFnEZRFCUvDbVarTqqbm6bODo68vnnnzNw4MCCjTCb4OBgGjduzJw5cwAwm834+vry+uuvM3bs2Bzte/XqRVJSEmvXrlXLmjZtSmBgIAsWLEBRFHx8fHjzzTcZPXo0APHx8Xh5ebFkyRJ69+6daxxGoxGj0aiuJyQk4OvrS3x8vGQdhXjM7PjjACdOnOX53h1wcXa6a7uMDBOLvv6ZAP8nCAkOeIQRisdRQkIC7u7uRf66otPpuHr1Kp6enlblN2/exNPTE5PJZKPICldxeX+EEOJxFh8fT+vWrTlw4AAVKlRg165dVKlSxdZhCRvK6/U5zz1Bzp07x5kzZ1AUhb1793Lu3Dl1uXz5MgkJCYWaAElLS2P//v2EhoaqZVqtltDQUCIiInLdJiIiwqo9QFhYmNr+3LlzREVFWbVxd3cnODj4rvsEmDp1Ku7u7uri6+v7MKcmhCjCAvxrYFYUjhw9fc92cXEJKIpCmdLSE0SUHHf7HSUxMREHB4dHHI0QQoiSIjk5mU6dOnHgwAHKlSvHpk2bJAEi8izPs8NUrlwZgK1btxIYGIidnfWmJpOJHTt20KJFi4KNMNONGzcwmUx4eXlZlXt5eXHixIlct4mKisq1fVRUlFqfVXa3NrkZN24co0aNUtezeoIIIR4/pdxdqexbnhP/nqNxUF3s7HKfZu1mjGVQVEmCiJIg6xqo0WgYP348Tk63e0mZTCb27NlDYGCgjaITQgjxODMajTz33HPs2rULd3d3NmzYQK1atWwdlihG8j1FbuvWrXPt+hoXF0erVq0e266v2RkMBgwGg63DEEI8Iv51q3Ph4lVOn42k1hN+uba5GROPVqOhVCnpGi8efwcPHgQsPUGOHDliNQWhXq+nfv366m2mQgghREHJyMigb9++bNiwAScnJ9avX0+DBg1sHZYoZvKdBFEURR0bJLubN2/i7OxcIEHlpmzZsuh0OqKjo63Ko6Oj8fb2znUbb2/ve7bPeoyOjrYa1C06Olp+wRJCqCpW8MLNzYWjx05Ts0aV3P8GxsRRqpQbOl2+J936//buO66p6/0D+OcmEPaUrSIiiCgqSxH3qji+7tbZCi4cWGsdVftTW62r7lGqVltHFfeoWxEHrioqOFFRQVAZKhshJOT8/ojcElkBgTCe9+vFi+Sec+99zs24yZNzzyGkyrlw4QIAYOTIkVi7di2Ni0EIIaTcyWQyjBkzBgcPHoRIJMKRI0fQunVrVYdFqiClkyADBgwAIO/66uPjo9ATIicnB/fu3SvXJ6FIJIKbmxuCgoLQr18/APIXQlBQECZNmlTgOp6enggKCsKUKVP4ZYGBgfD09AQA1K9fHxYWFggKCuKTHqmpqbhx4wYmTJhQbm0hhFQtHMehiWMDXL9xFwlvE2FupjjqOGMM7xNTULe2eSFbIKR62rp1q6pDIIQQUgMwxjBlyhRs374dQqEQe/bswRdffKHqsEgVpXQSxMBAfp07Ywx6enrQ0tLiy0QiEVq1aoWxY8eWfYR5TJ06Fd7e3nB3d0fLli2xZs0aZGRkYOTIkQCAESNGoHbt2liyZAkA4LvvvkOHDh2wcuVK9OrVC3v27MGtW7fwxx9/AJB/sZkyZQoWLlwIe3t71K9fH3PnzoWVlRWfaCGEEABo1NAGIbcf4MGjZ/mSIGlpGcjKEsPM1FhF0RFScQYMGIBt27ZBX1+f/4GkMIcOHaqgqAghhFRnc+fOxfr16wHIE/D9+/dXcUSkKlM6CZL7a4+NjQ2mT59erpe+FGbw4MF4+/Yt5s2bh7i4ODg7O+P06dP8wKbR0dEQCP7rit66dWsEBARgzpw5+PHHH2Fvb48jR47AycmJr/PDDz8gIyMDvr6+SE5ORtu2bXH69Gka1Z4QokBDQwT7BtZ4EvESrT2aQ0vrv/eIuPj3AABzc5qXnlR/BgYG/CVhuT+QEEIIIeVl2bJlWLRoEQDA398f33zzjYojIlUdxwqb344oTdn5iAkhVdu798k4cDgQLd2d4OrsyC8PvnoHT59GYaR3PwgFNCYI+Xx0Xqnc6PEhhJCKsXHjRn6YgiVLlmDWrFkqjohUZsqen5XqCeLq6oqgoCAYGRnBxcWlwEEBc925c6fk0RJCSBVgUssQFuYmeBT+HM7NHCAQCMAYw+vX8TAzM6YECCGEEEJIGQkICMDEiRMBALNnz6YECCkzSiVB+vbtyw+ESmNlEEJqMqfGDXDuwg28jI5FfZvaSExKRUpqOpo0tlN1aIRUiOJ+DMmLfhghhBBSUunp6fjpp5+wZs0aMMbg5+fHXw5DSFlQKgny008/FXibEEJqmvo2daCtdRd3wsJRz9oKz1/EAABsbWqrODJCKgb9GEIIIaS8/PPPP/j2228REyP/fOXr64t169YpnXwnRBlKD4xakPT0dMhkMoVldG0sIaQ6EwoFaOnuhIuXbyH4yi28iHqNOrXNoaurrerQCKkQ9GMIIYSQshYTE4Nvv/0W//zzDwCgfv36+P3339G9e3cVR0aqoxJfwB4ZGYlevXpBR0cHBgYGMDIygpGREQwNDWFkZFQeMRJCSKXi0NAGdrZ18fhpFACgdStnlcZDCCGEEFIVSaVSrF69Go6Ojvjnn3+gpqaG2bNn48GDB5QAIeWmxD1Bvv76azDG8Ndff8Hc3Jy6JhFCahyO49ClkwecmzlAV1cbmpoaqg6JEJXIycnB6tWrsW/fPkRHRyM7O1uhPDExUUWREUIIqexCQkLg6+uLsLAwAECbNm2wadMmNGnSRLWBkWqvxEmQu3fv4vbt23BwcCiPeAghpErgOA4mJtT7jdRs8+fPx5YtWzBt2jTMmTMH//d//4eoqCgcOXIE8+bNU3V4hBBCKqGUlBT83//9H37//XcwxmBkZIRly5Zh1KhRENBMe6QClPhZ1qJFC36gGkIIIYTUXLt27cLmzZsxbdo0qKmpYejQodiyZQvmzZuHf//9V9XhEUIIqUQYY9i/fz8cHR3h7+8Pxhi++eYbPH78GGPGjKEECKkwJe4JsmXLFowfPx6vX7+Gk5MT1NXVFcqbNWtWZsERQgghpPKKi4tD06ZNAQC6urpISUkBAPzvf//D3LlzVRkaIYSQSiQyMhJ+fn44deoUAMDe3h4bN25E586dVRwZqYlKnAR5+/Ytnj9/jpEjR/LLOI4DYwwcxyEnJ6dMAySEEEJI5VSnTh3ExsbC2toaDRo0wNmzZ+Hq6oqQkBBoaNBYOYQQUtNJJBKsXLkSCxYsQGZmJkQiEWbPno1Zs2ZBU1NT1eGRGqrESZBRo0bBxcUFu3fvpoFRCSGEkBqsf//+CAoKgoeHB7799lt8/fXX+PPPPxEdHY3vv/9e1eERQghRoatXr2LcuHF4+PAhAKBTp07YsGEDjS1JVK7EF169fPkSv/76Kzw8PGBjY4N69eop/BFCCCGkZli6dCl+/PFHAMDgwYMRHByMCRMm4MCBA1i6dGmJtrVhwwY0a9YM+vr60NfXh6enJ99tGgCysrLg5+eHWrVqQVdXFwMHDkR8fLzCNqKjo9GrVy9oa2vDzMwMM2bMgFQqVahz8eJFuLq6QkNDA3Z2dti2bVvpGk8IIaRAiYmJ8PX1Rdu2bfHw4UOYmJhgx44dCAoKogQIqRRKnATp3Lkz7t69Wx6xEEIIIaQK8/T0xNSpU9G7d+8Sr1unTh0sXboUt2/fxq1bt9C5c2f07duX/wXx+++/x7Fjx7B//35cunQJb968wYABA/j1c3Jy0KtXL2RnZ+PatWvYvn07tm3bpjBLTWRkJHr16oVOnTohLCwMU6ZMwZgxY3DmzJnPbzwhhNRwjDHs3LkTjRo1wubNmwEAo0ePxuPHj/HNN9/QFQSk0uAYY6wkK/zxxx9YuHAhRo0ahaZNm+YbGLVPnz5lGmBVkJqaCgMDA6SkpEBfX1/V4RBCCKniqsp5ZceOHUWWjxgx4rO2b2xsjOXLl+PLL7+EqakpAgIC8OWXXwIAHj9+DEdHR1y/fh2tWrXCqVOn8L///Q9v3ryBubk5AGDjxo2YOXMm3r59C5FIhJkzZ+LEiRN48OABv48hQ4YgOTkZp0+fLjQOsVgMsVjM309NTUXdunUr/eNDCCEV5enTp5g4cSKCgoIAAI0bN8bGjRvRrl07FUdGahJlPz+VeEyQ8ePHAwAWLFiQr4wGRiWEEEJqju+++07hvkQiwYcPHyASiaCtrV3qJEhOTg7279+PjIwMeHp64vbt25BIJOjatStfp1GjRrC2tuaTINevX0fTpk35BAgAeHl5YcKECXj48CFcXFxw/fp1hW3k1pkyZUqR8SxZsgTz588vVVsIIaQ6E4vF+PXXX7F48WKIxWJoampi3rx5mDZtGkQikarDI6RAJU6CyGSy8oiDEEIIIVVMUlJSvmURERGYMGECZsyYUeLt3b9/H56ensjKyoKuri4OHz6Mxo0bIywsDCKRCIaGhgr1zc3NERcXB0A+XW/eBEhueW5ZUXVSU1ORmZkJLS2tAuOaPXs2pk6dyt/P7QlCCCE12YULFzBhwgQ8efIEgDyp/Pvvv8PW1lbFkRFStBInQQqSnJyc74MJIYTUJCwnBznXwpDz7CU4Az0IGzeAwKE+Xf9Kahx7e3ssXboUX3/9NR4/flyidR0cHBAWFoaUlBQcOHAA3t7euHTpUjlFqjwNDQ2a8pcQQj56+/Ytpk+fzl8SaWFhgTVr1mDQoEH0uYdUCSVOgvz666+wsbHB4MGDAQBfffUVDh48CEtLS5w8eRLNmzcv8yAJIaQyY9IciH/djJyb9wEBB8gYJAA4KzOodfaAWldPCIwMVB0mIRVGTU0Nb968KfF6IpEIdnZ2AAA3NzeEhIRg7dq1GDx4MLKzs/P96BIfHw8LCwsA8g/hN2/eVNhe7uwxeet8OqNMfHw89PX1C+0FQgghRE4mk2Hr1q344YcfkJiYCI7jMGHCBCxatIh+ECdVSomTIBs3bsSuXbsAAIGBgTh37hxOnz6Nffv2YcaMGTh79myZB0kIIZWZ9FQwcm7eh/rw3lAf+AVYSjpybt6D9PwNSHYeg2T3CQg9mkO9e1sImjYEJyjxxFyEVEpHjx5VuM8YQ2xsLH777Te0adPms7cvk8kgFovh5uYGdXV1BAUFYeDAgQCAJ0+eIDo6Gp6engDkM9MsWrQICQkJMDMzAyD/nKKvr4/GjRvzdU6ePKmwj8DAQH4bhBBCCvbo0SOMHz8ely9fBgA0b94cmzZtgoeHh4ojI6TkSpwEiYuL46+DPX78OAYNGoRu3brBxsaGXgSEkBqHSXMgORIEgX09qH/lBY7jwBkbQNC9HdS7t4Ms+g0kp69AevEmcq6FgrM0hbpXW6h19gBnoKfq8An5LP369VO4z3EcTE1N0blzZ6xcubJE25o9ezZ69OgBa2trpKWlISAgABcvXsSZM2dgYGCA0aNHY+rUqTA2Noa+vj6+/fZbeHp6olWrVgCAbt26oXHjxvjmm2+wbNkyxMXFYc6cOfDz8+MvZRk/fjx+++03/PDDDxg1ahTOnz+Pffv24cSJE2VyPAghpLrJzMzEwoULsXz5ckgkEmhra2PBggX47rvvoKZWJiMrEFLhSvzMNTIyQkxMDOrWrYvTp09j4cKFAOS//tDMMISQmkb26DnYuySIvPsVeB2swNoKGr6DIBrRF9IrtyE9fQXZ2w4je8c/EDRtCDVPZwhbNaPLZUiVVJaDpSckJGDEiBGIjY2FgYEBmjVrhjNnzuCLL74AAKxevRoCgQADBw6EWCzmB+DLJRQKcfz4cUyYMAGenp7Q0dGBt7e3wmx29evXx4kTJ/D9999j7dq1qFOnDrZs2QIvL68yawchhFQXZ86cwcSJE/HixQsAQJ8+fbB+/XpYW1urODJCPg/HGGMlWWHSpEk4fvw47O3tERoaiqioKOjq6mLPnj1YtmwZ7ty5U16xVlrKzkdMCKl+sncdg2T/GWjvWApOX1epdXKeR0N6KQQ518PAEhIBjoPAzhrC5g4QNnOAwLEBOJF6OUdOKjM6r1Ru9PgQQqqz2NhYfP/999i7dy8AoHbt2vjtt9/y9f4jpLJR9vxc4p4gq1evho2NDWJiYrBs2TLo6so/9MfGxmLixImlj5gQQqqgnPtPIbCxUjoBAgDCBtYQNrAGGzkAsucxyLkehpywcEgOBkJy4CwgUofAvh6EDW0gsK8HQcP64EwMacR1UunknTa2OKtWrSrHSAghhHwumUyGTZs2Yfbs2UhJSYFAIMDkyZOxYMEC6OnRJbyk+ihxEkRdXR3Tp0/Pt/z7778vk4AIIaSqYDk5kEW8hJpX21Ktz3EchHbWENpZA9/0AUvLQM6DCOTcfQzZ4xeQ/HMe+Hi5AWekD4FtHQisrcBZW0JgbQVBXQtwGqKybBIhJRIaGorQ0FBIJBI4ODgAAJ4+fQqhUAhXV1e+HiXwCCGkcrt79y7GjRuHGzduAADc3d2xadMmhfdyQqqLUo1mExERgQsXLiAhISHf9cDz5s0rk8AIIaSyYwnvAWkOBHUty2R7nJ4O1DydoebpLN9+lhiyFzGQPY1CztOXkL18jZzQx3xiBBwHzrwWBFZm4CxMILAwBWdpCoGFCTgLE7qkpgIwmQwo7qJSAVdtkwC9e/eGnp4etm/fDiMjIwBAUlISRo4ciXbt2mHatGkqjpAQQkhR0tPT8fPPP2PNmjXIycmBnp4eFi9ejAkTJkAoFKo6PELKRYmTIJs3b8aECRNgYmICCwsLhQ92HMdREoQQUmPI3rwFAAisTMtl+5ymBoSN7SBsbIfcdAaTSMBeJ0D28g1k0W8gi46FLPYt2IMIIFuSZ2X5LDWcmTE4EyMITIzA1TIEZ2L08c8QnIFejZ2ulzEGZGaBJaaCJaaAJaWApWeAZWSCZWQC6ZlgGR/ktzMywbKzAYkUkEjBsiUfb0uAHCUHBlVTA9QEgJoaODUhIBQC6mrAx9ucmpr8vkgNnLo6smTS8j0AZWTlypU4e/YsnwAB5AOoL1y4EN26daMkCCGEVGLHjh2Dn58fYmJiAABfffUV1qxZAysrKxVHRkj5KnESZOHChVi0aBFmzpxZHvFUaTlPIpGjqwfk5oUK+uUvd1ne/0IBOKEAEAgBoeDjn/DjMvltfrlAWK1/VVQlpX7R/RQ9FjUae5MAAOCszCpsn5y6Ojib2hDY1FaMRSYDS0oFi30LWdxbsNh3kMW9A3ubCNmj58hJSgFknzzB1dTA1TIAZ2QAzlDv45/+xz+9PP/1wGlpVlgbP8d/yY2UjwmOZLCkVMgSU/5Ldnz8j6zsgjciEAA6WuB0tcHpaAE6WhAYG/yXpFBTB0RqgEhdntDgikgkMQbIZGDSHEAqBaQ5gDQHLPd2jnw5k3ws/5AFmSQdsrS08jlAZSw1NRVv377Nt/zt27dIqyJtIISQmubVq1eYPHkyDh8+DACwsbGBv78/evbsqeLICKkYJU6CJCUl4auvviqPWKq8rJ9+g0i9gq7PFwgUEibypMnHZEnur4xqQvmvvLn3c5Mrn9yHWgHrCgXyZUWtq1bIfnOXqeWJTU0IcJw80SCTyb+MKfz/+MeYvI5UJv+VVSKVf1mQSIFsKZhECkg/Lv+4TF5Hwv9Ki2zpJ18wcsA+/ufv57mNnI9/n35BVJaaUP545LZfIPh4nASKxy73troaoK4OTpT7Xx0QqQPqavLb6vIvWJxIJP+ilVtH/eOXLpE6oKkBTlPj43+R/L86zdVe0WSxb+WPSS1DVYcCTiCQx1HLEEIn+3zlLCdHnhR4nwT2LgnsfTJkbz/eTk6F7OUbsLBUIEtc8A40RfKeI7o6gJ42OB1tcHra8kSBrg6g+/G2ng6grSkfq0RTQ/5fQyR/nylFwpAxBoizwdI/AOkfwPL+paZ/TGj8l+xgiSmAuIDkhppQntQxNpCPq+LsCM5Yfp8zMgBnpA9OX1ee9NDUUHlyU5qaCmz7VaUxKKN///4YOXIkVq5ciZYtWwIAbty4gRkzZmDAgAEqjo4QQkheUqkUv/32G+bOnYv09HSoqalh2rRpmDdvHrS1tVUdHiEVpsTfmr766iucPXsW48ePL494qjSN6SOhoaPz34K836kLm4lYJpN3p5bJ5F/Uc3Lv/3ebfXIfOTnyRMHH28hdT/pxufSTZTl5vvBnZcu/DElz5PvOkwRgOYr3le7mrSpCgTxhoK4mTwB8/OPU1eRdz9XVAHUNcHmTN2q5yRw1xWRRbhKnqF90P5X7C2/useWPZ97H8r9jyS+TSIH0DMhyu9RnS+QJHfHH7vYlm7Va8XgUlBzJ/a+hAWh9/FKqpQlOR4v/lZvTznM790tgDb1MoiTYmwT52BtV4FhxQiE4UyPA1KjIekycDZacCpacJk8q5N5OTgNLSQNLzwBSMyB7kyBPTHzIUi4AgUCeSPmYEAHH/fcnEMj/MybvDZH3kpO8l/gURE0oT2AYGUBQLze5YcAnOATGhuCM9AE9nSrxOFU1GzduxPTp0zFs2DBIJPLHSk1NDaNHj8by5ctVHB0hhJBct27dgq+vL0JDQwEArVu3xsaNG9G0aVMVR0ZIxStxEsTOzg5z587Fv//+i6ZNm0JdXXHgvcmTJ5dZcFWNmrsT1IqYj7iqYYwpfpHnEyoyhV4UismTj0maT+5DmiP/giMQAII8X3pye7QIOPkXlLzL1NUVkxsi9TzJDbVq+YWGMSY/VhLJx54vEkAskf//+KWQibOBLLH8f2be/2L58qxshf+yd8kK9wv8lfxTHCf/Nf9jgoRPlOjpgDPQBfR15b+aG3z8//E2tDRV/gt6RZK9S4LArJaqwyhTnIYInLkJYG6iVH0mzQEyFHtoICNT/rwUZ398vmbLx9TIEstv5/YCY3n+ZAwAy9NLKk8vKA3Rxx4n2v/1OMntdULJDZXS1tbG77//juXLl+P58+cAgAYNGkAn7w8ChBBCVCY1NRVz5syBv78/ZDIZDA0N8euvv2LMmDEQ0PmT1FAcYyX72bl+/fqFb4zj8OLFi88OqiCJiYn49ttvcezYMQgEAgwcOBBr166Frq5uofV/+uknnD17FtHR0TA1NUW/fv3wyy+/wMDAQCHmT+3evRtDhgxROrbU1FQYGBggJSUF+tUoCUKqJyaTyZMiuQM+fsj87/bH+/iQ9XFQyCz5F9zc+2kZQFpG4ZcOqamB09eRXzZhbCAffNPYUD4gZy1DCD7+h45WtUiWZIyYCTU3J2h8942qQyHVDJ1XKjd6fAghlR1jDAcPHsR3332HN2/eAACGDx+OlStXwtzcXMXREVI+lD0/l7gnSGRk5GcFVlrDhw9HbGwsAgMDIZFIMHLkSPj6+iIgIKDA+m/evMGbN2+wYsUKNG7cGC9fvsT48ePx5s0bHDhwQKHu1q1b0b17d/6+oaFheTaFEJXiBAJA+2MPj1JMasJyZPLESGo6WEq6/H/e2ylpYCnpkMW/Bwt/XvDlEpry3gYCS1MILD9O6/rxP1fLsEr8ss9yZEBqBjhDPVWHQgghhBDCi4qKgp+fH06ePAlA3pN/w4YN6Nq1q4ojI6RyqBIjKYaHh+P06dMICQmBu7s7AGD9+vXo2bMnVqxYUeA0Tk5OTjh48CB/v0GDBli0aBG+/vprSKVSqKn913RDQ0NYWFiUf0MIqQY4oYC/HAZ1iq/PPmTJB618nwzZe/l/9i4Jsrh3kEW+Qs7Ne4o9SzRFENSTz34iqF8bAps6ENhYVb7ZSdIyAMbklwERQgghhKiYRCLB6tWr8fPPPyMzMxPq6uqYNWsWfvzxR2hqVrLPUYSoUKmSIK9evcLRo0cRHR2N7GzF8QVWrVpVJoHldf36dRgaGvIJEADo2rUrBAIBbty4gf79+yu1ndxuMXkTIADg5+eHMWPGwNbWFuPHj8fIkSOL7KovFoshFv83g0JqamoJW0RIzcFpa4LTtgDqWEBYQDmTSMES3sunc32TAFlMHGRRryG9eBM48/H9RcDJkyGNG0DYuAEEjRtAYGRQwNYqDkv9OP2nPvUEIYQQQohqXbt2DePHj8f9+/cBAB06dMDGjRvRqFEjFUdGSOVT4iRIUFAQ+vTpA1tbWzx+/BhOTk6IiooCYwyurq7lESPi4uJgZmamsExNTQ3GxsaIi4tTahvv3r3DL7/8Al9fX4XlCxYsQOfOnaGtrY2zZ89i4sSJSE9PL3KA1yVLlmD+/PklbwghJB9OXQ1cbXMIapsDbk345SxHBhb3FrKo15A9i0bOo+eQnr4M6fGLAABBA2sIWzhB2KIpBA3qVvgYIyw5XR6/IfUEIYQQQohqJCUlYdasWfjjjz8AALVq1cLKlSsxYsSIajH+Gvk8WRIxtpzfBwAY23kwNNRFKo6ocihxEmT27NmYPn065s+fDz09PRw8eBBmZmYYPny4wrgaypg1axZ+/fXXIuuEh4eXNMR8UlNT0atXLzRu3Bg///yzQtncuXP52y4uLsjIyMDy5cuLTILMnj0bU6dOVdh+3bp1PztOQsh/OKHgv+RIG3mClYmzIXv2Ejn3niIn5AEke05CsuckOCszqHVqCbWOLStsthaWIu8JwlFPEEIIIYRUMMYYAgICMHXqVCQkJAAARo0ahWXLlqFWreo1cx0pvYCrx7DwsD8AQEdDCyM7fqniiCqHEidBwsPDsXv3bvnKamrIzMyErq4uFixYgL59+2LChAlKb2vatGnw8fEpso6trS0sLCz4F3cuqVSKxMTEYsfySEtLQ/fu3aGnp4fDhw/nm9L3Ux4eHvjll18gFouhoaFRYB0NDY1Cywgh5YfTEEHYxB7CJvbA0F6QvU9Gzs17kF64Ccmu45AEnICwVXOo9+8KoUPhM1mVhdzLYTgDSoIQQgghpOJERERg4sSJOHfuHADA0dERGzduRPv27VUcGalMsiRirD+9nb+/7vR2DGvTh3qDoBRJEB0dHX4cEEtLSzx//hxNmsi7sL97965E2zI1NYWpafHTU3h6eiI5ORm3b9+Gm5sbAOD8+fOQyWTw8PAodL3U1FR4eXlBQ0MDR48eVWpAoLCwMBgZGVGSg5AqQFDLEIIe7aHeoz1kr+IhCbwK6ZmryLkeBkHzRtAYNQACm9rlsm/+chgaGJUQQgghFUAsFmPZsmVYtGgRxGIxNDU1MWfOHMyYMQMiEX2xJYoCrh5DbPJbWBmZgTGG2OS3CLh6lHqDoBRJkFatWuHKlStwdHREz549MW3aNNy/fx+HDh1Cq1atyiNGODo6onv37hg7diw2btwIiUSCSZMmYciQIfzMMK9fv0aXLl2wY8cOtGzZEqmpqejWrRs+fPiAnTt3IjU1lR/A1NTUFEKhEMeOHUN8fDxatWoFTU1NBAYGYvHixZg+fXq5tIMQUn4EdcyhMXIARF91h+RUMCSHApH5/RKodW8HkXc/cJplm9hkqWmAliY4UdG9ywghhBBCPtfFixcxfvx4PHnyBADQrVs3/P7772jQoIGKIyOVUd5eIJO7e4Mxhtl7VlBvkI9KnARZtWoV0tPlv4DOnz8f6enp2Lt3L+zt7ctlZphcu3btwqRJk9ClSxcIBAIMHDgQ69at48slEgmePHmCDx8+AADu3LmDGzduAJDPjZ1XZGQkbGxsoK6uDn9/f3z//fdgjMHOzg6rVq3C2LFjy60dhJDyxelqQ/RVd6h/0QbZu45BejIYOWGPoTHVB0L7emW2H/YhC5yOVpltjxBCCCHkU+/evcP06dOxfbv8C625uTlWr16NIUOG0MCnpFB5e4EMbd0bgPxyGOoNIscxxpiylXNycnD16lU0a9YMhoaG5RhW1ZKamgoDAwN+Cl5CSOUhvfMQ2et2gqV/gMaUEVBr61Ym2836ZQNk8e+g/dvc4isTUkJ0Xqnc6PEhhJQ3xhi2bduG6dOnIzExERzHYdy4cViyZAl9DyNFypKI4Tn3S8Qmv8XSoTPg02EgAGDrxQOYvWcFLA1N8e8vB6tlbxBlz8+CkmxUKBSiW7duSEpK+uwACakqrly5glatWqF169ZYuXKlqsMhJaTm2gSaq2dBYFMb4uV/QXIyuEy2yzKzwGkVP84QIYQQQkhJhIeHo2PHjhg1ahQSExPRrFkzXLt2DRs2bKAECClWQb1AAGBYmz6wNDTle4PUZCVKggCAk5MTXrx4UR6xEFIp2draIjg4GNeuXcPx48f5S65I1SEwMoDmoikQOjsie9NeSM7/+/kb/ZAFaFMShBBCCCFlIzMzE3PmzEHz5s0RHBwMbW1tLFu2DLdu3Sq3sRdJ9SKWZCuMBZK3t4eGugiTu3sDANaf2QGxJFslMVYGJU6CLFy4ENOnT8fx48cRGxvLDziad+BRQqoTKysrfsRtoVAIgaDELxtSCXAaImj86AtB4wbIXr8LOfefftb2qCcIIYQQQsrK2bNn0bRpUyxatAgSiQT/+9//8OjRI8yYMQPq6jQIO1FOwNWjBfYCyZXbG+RNUgJ2XzumgggrhxJ/m+vZsyfu3r2LPn36oE6dOjAyMoKRkREMDQ1hZGRUHjGSMtatWzc0a9YMzs7OaNeuHUJDQ/myiIgItG7dGg0bNkSLFi3w8OFDpcoqMo7yiEUZgYGBaNCggVJTLWdnZ2PmzJmws7ODo6MjnJyc8Oeff5Z5TDY2NnBwcICzszOcnZ2xd+9evuzkyZNwdXWFs7MznJyc+AG1srKy0K9fPzRs2BDNmzfHF198gWfPnpV5bJURpyGC5v+NB2dmjKzlf0GWmFLqbVEShBBCCCGfKy4uDsOGDYOXlxeeP3+O2rVr4+DBgzh69Cjq1Su7Ad1J9SeWZGNdIb1AcuXtDbLu9Paa2xuEldDFixeL/KuJUlJSGACWkpKi6lCUkpSUxN8+dOgQa9asGX+/U6dObOvWrYwxxvbv38/c3d2VKqvIOMojluLExMSwTp06sbS0NKXqDx06lA0YMIClp6czxhiLjIxkjRo1Yr///nuZxlWvXj0WGhqab7lMJmNGRkbs7t27/P41NDRYamoqy8zMZCdOnGAymYwxxtj69etZhw4dyjSuyk76PJqlD/iWZS7axB+Hkkr/8juWtWlvGUdGiFxVO6/UNPT4EEI+14sXL9iMGTOYgYEBA8AEAgGbPHkyva+QUvvrwn5mPs6DNZ3RkyWmJ7P0rA8F/iWmJ7OmM3oy83EebOvFA6oOu0wpe34u8RS59evXR926dfNNycQYQ0xMTFnkZUg5yzugUkpKCv9YJiQk4NatWzh79iwAYODAgZg0aRKePXsGfX39QsvyTkH85MkTdOnSBcHBwbC1tcWKFStw7tw5nDx5Mt9lJKWJw87OrtjyvDiOQ1JSEr8vExMT3Lp1CzY2NuA4DgsXLsTRo0cRHx+PNWvWIDw8HAcPHkRKSgo2b96Mjh07QiwWw8fHBxs2bICurm6xxzciIgJHjhxBTEwMdHR0AMh7bKxcuRJjxozBhAkTit1GWeA4DsnJyQDkIyXXqlULGhoaEIlE6NmzJ1+vVatWWLFiRYXEVFkIbetC/avukOw+gZzrYVBr7VKi9Zk0B8iWgNOmKXIJIYQQohyZTIbTp0/D398fp06dAvs4Saebmxs2bdoEN7eymcGO1Dx5e4EkpL6H4zQvpdZbd3o7hrbuXS1niilKqZIgsbGxMDMzU1iemJiI+vXrIycnp8yCq25+CPgVj18/L5dtN6rdAMuGzVS6/ogRI3DhwgUA8ssmACAmJgaWlpZQU5M/LTiOg7W1NaKjo2FgYFBoWd7Eg4ODA5YvX45BgwZhxYoV8Pf3x82bNwsdR6OkcdjZ2RVbXhK6urq4ceMGgoKC0LdvX/z222+4desW9u/fjxkzZiAkJAQBAQF49OgRxo0bBwDYtWsXateuXeg2Q0NDYW9vj1q1aiks9/T0RGxsLOLj42Fubp5vvcGDB+PJkycFbvPYsWOoW7dugWUjRowAYwwtW7bE0qVLYWpqCo7jsHfvXgwYMAA6OjpISkrCoUOH+LFN8lq7di369u1baHuqK/WB3SC9FILsHf9A2LIZODWh8itnZsn/a2mUT3CEEEIIqTYSExPx119/YcOGDQoTTHTr1g1+fn7o1asXhMISfA4h5BO5Y4GUVO7YILnT6NYUJU6CMMby9QIBgPT0dKXGSiCVw44dOwAA27dvx8yZM/kERFkYOnQoLly4AC8vLwQFBcHU1FQlcShj8ODBAAB3d3dkZGRgyJAhAICWLVsiIiICADBy5EiMHDmyzPappVVw74G843koKzg4GNbW1pBIJJgzZw68vb1x8uRJSKVSLFy4EIcOHUL79u0REhKCPn364P79+zAxMeHXX7x4MZ49e4agoKBSt6eq4tTVIPq6N8TL/oQ08BrUe7RTel32MQnC0ewwhBBCCCnE7du34e/vj927dyMrS/7ZwdDQECNHjsSECRNgb2+v4ghJdTG0TW8M8uxVqnWFNXDSB6WTIFOnTgUg/9V97ty50NbW5stycnJw48YNODs7l3mA1UlJempUFG9vb4wfPx7v379H3bp1ERsbC6lUCjU1NTDGEB0dDWtra+jr6xda9impVIoHDx7A2NgYr1+/LtM4ABRbnpdQKFTonZR7AsqVm7jLzb7nvS+VSpWK/VMuLi6IiIjA+/fvFXqDXL9+HU2aNIG+vn6B65WmJ0hum9XV1TFlyhQ0bNgQABAWFoY3b96gffv2AIAWLVqgTp06CA0NxRdffAEAWLFiBQ4dOoRz584pvJ5rEmFrFwga1IXkcCDUurUBJ1TyJPDhYxKEBkYlhBBCSB5ZWVnYv38//P39cePGDX65s7Mz/Pz8MHToUP5yaULKiqY69U4uCaXTPqGhoQgNDQVjDPfv3+fvh4aG4vHjx2jevDm2bdtWjqGSspCcnIw3b97w948cOYJatWrB2NgYZmZmcHV1xc6dOwEABw8eRJ06dWBnZ1dk2admzZoFBwcHXL58GdOnTy9w5pHSxgGgRLHY2dnxJ6BDhw4hIyOjVMetICNGjMDhw4fzLbe3t0fv3r3h6+uLDx8+AACioqIwc+ZMrFy5stDt7d27F2FhYQX+FZQAycjI4Mf8AIDdu3fDxUU+tkVuoig8PBwA8OzZMzx//hwODg4AgFWrVmH37t0IDAxUGJulpuE4Dup9OoPFv0fObeVnGGKZYvkNSoIQQgghBMDLly8xe/Zs1K1bFyNGjMCNGzegrq6OYcOG4erVq7hz5w7GjBlDCRBCKoOSjrjq4+NDoxZ/oiqNEh8VFcVatGjBnJycWLNmzViXLl0UZhd5/Pgxa9WqFbO3t2dubm7s3r17SpXlOnbsGGvSpAnLyMhgjDG2b98+5uLiwjIzM8ssDmVjYYyxkydPMjs7O+bi4sLmzJnDatWqxSIjIxljjAHgZ6hJS0tjeV8OMTExTEdHp8hj6ejoyEJCQgosy8rKYjNmzGC2trbMzs6OCYVCdurUqSK3V1LPnz9nzs7OrGnTpszJyYn16dOHbxtjjAUEBPDH18nJie3atYsxJm8bAGZra8uaN2/Omjdvzlq2bFmmsVUlsuxsljFiJvswd53S60huP2DpfSYy6d0n5RgZqcmq0nmlrCxevJi5u7szXV1dZmpqyvr27cseP36sUCczM5NNnDiRGRsbMx0dHTZgwAAWFxenUOfly5esZ8+eTEtLi5mamrLp06cziUSiUOfChQvMxcWFiUQi1qBBA362MWXVxMeHEJJfTk4OO3PmDOvTpw8TCAQMAAPA6tSpwxYuXJjv/YkQUr6UPT9zjH0clpiUWmpqKgwMDJCSklLopQ6kenn79i2GDRuGwMDAYuvKZDLMmjULgYGBCAoKgrGxcQVESEoi+++jkBw8C60/F0JQy7DY+tKrdyBe9ic0V/wAoX298g+Q1Dg18bzSvXt3DBkyBC1atIBUKsWPP/6IBw8e4NGjR/wvpxMmTMCJEyewbds2GBgYYNKkSRAIBLh69SoA+eW5zs7OsLCwwPLlyxEbG4sRI0Zg7NixWLx4MQAgMjISTk5OGD9+PMaMGYOgoCBMmTIFJ06cgJeXcqPp18THhxDyn6SkJGzfvh2///47P4YcAHTp0gV+fn7o3bs3P4A/IaTiKHt+piRIGaAPQ4RUbbKo18j8bjFEY76Eeu9OxdaXnLuG7PW7oPX7PAhq55/ph5DPRecVebLZzMwMly5dQvv27ZGSkgJTU1MEBATgyy+/BAA8fvwYjo6OuH79Olq1aoVTp07hf//7H968ecPPwrVx40bMnDkTb9++hUgkwsyZM3HixAk8ePCA39eQIUOQnJyM06dPKxUbPT6E1Ex3796Fv78/du7ciczMTACAvr4+vL29MXHiRDRq1EjFERJSsyl7fq55Q8ESQsgnuHpW4OqYQ3rljnIr5I4JokmDUBFSXlJSUgCA7z13+/ZtSCQSdO3ala/TqFEjWFtb4/r16wDkA1A3bdpUYRpyLy8vpKam4uHDh3ydvNvIrZO7jYKIxWKkpqYq/BFCaobs7Gzs3r0bbdu2hbOzMzZv3ozMzEw4OTlhw4YNeP36NdatW0cJEEKqEOqnRQip8TiOg1obV0j2noLsfXKxl8SwbIl8PQ1RBURHSM0jk8kwZcoUtGnTBk5OTgCAuLg4iESifIM5m5ubIy4ujq+TNwGSW55bVlSd1NRUZGZmFjiN+ZIlSzB//vwyaRshpGqIiYnBpk2bsHnzZiQkJAAA1NTUMGDAAEyaNAlt27YFx3EqjpIQUhrUE4QQQgAIWzQFAOSEhhdfWZwt/y9SL8eICKm5/Pz88ODBA+zZs0fVoQAAZs+ejZSUFP4vJiZG1SERQsoBYwxBQUEYMGAA6tevj0WLFiEhIQFWVlaYP38+oqOjsXfvXrRr144SIIRUYdQThBBCAAhs6wK62si5+xjqXT2LrpwtATgOUKe3UELK2qRJk3D8+HEEBwejTp06/HILCwtkZ2cjOTlZoTdIfHw8LCws+Do3b95U2F58fDxflvs/d1neOvr6+gX2AgEADQ0NaGjQ5W+EVFepqan8QKePHz/ml3fs2BF+fn7o27cv1NXphw9CqgvqCUIIIQA4oQDCZg7IufsYxY0XzbIlgLoa/QpESBlijGHSpEk4fPgwzp8/j/r16yuUu7m5QV1dHUFBQfyyJ0+eIDo6Gp6e8sSlp6cn7t+/z3ddB4DAwEDo6+ujcePGfJ2828itk7sNQkjN8eDBA0yYMAFWVlaYPHkyHj9+DF1dXUycOBEPHjzAhQsX8OWXX1IChJBqhn7GJISQj4ROdsi5FgoW+xaclVnhFcUSgMYDIaRM+fn5ISAgAP/88w/09PT4MTwMDAygpaUFAwMDjB49GlOnToWxsTH09fXx7bffwtPTE61atQIAdOvWDY0bN8Y333yDZcuWIS4uDnPmzIGfnx/fk2P8+PH47bff8MMPP2DUqFE4f/489u3bhxMnTqis7YSQiiORSHD48GH4+/sjODiYX+7o6Ag/Pz988803NOsTIdUcJUEIIeQjgYMtACDn8QsIikiCsOxscDQeCCFlasOGDQDk3c/z2rp1K3x8fAAAq1evhkAgwMCBAyEWi+Hl5YXff/+drysUCnH8+HFMmDABnp6e0NHRgbe3NxYsWMDXqV+/Pk6cOIHvv/8ea9euRZ06dbBlyxZ4eXmVexsJIarz5s0b/PHHH/jjjz8QGxsLQP6e0a9fP/j5+aFjx47Uw5OQGoKSIIQQ8pHApjagIYLscSTQuVXhFbMlNCgqIWWsuMvQAEBTUxP+/v7w9/cvtE69evVw8uTJIrfTsWNHhIaGljhGQkjVwhhDcHAw/P39cfjwYUilUgDyGaF8fX3h6+urMPYQIaRmoCQIIYR8xKkJIbCzhuxpVNEVKQlCCCGEVFppaWnYuXMn/P398fDhQ35527Zt4efnhwEDBkAkostaCampKAlCCCF5COrXgfT0FTBpDjg1YYF1WLYEHI0JQgghhFQq4eHh8Pf3x44dO5CWlgYA0NbWxtdffw0/Pz80a9ZMxRESQioDSoIQUowrV65g+vTp/HXo06ZNU3VIpBwJ6tcBpFKwV3HgbGoXXEmcTQOjEkIIIZWAVCrFP//8A39/f1y4cIFf3rBhQ0ycOBHe3t4K02oTQgglQQgphq2tLYKDgyESidCpUydMmDAB2traqg6LlBNBfXniQxb1Wj5GSAFYtgQCfZ2KDIsQQgghecTFxWHz5s3YtGkTXr9+DQAQCATo06cP/Pz80LlzZwgEAhVHSQipjCgJQkgxrKys+NtCoZBOqNWcoK4lIBBAFvW68ErZEoCuJSaEEEIqFGMMV69ehb+/Pw4ePAiJRAIAMDU1xdixYzFu3DhYW1urOEpCSGVH3+ZqsK1bt4LjOBw5coRfFhERgdatW6Nhw4Zo0aKFwmBSRZVVZBzlGUtRAgMD0aBBA2hqahZbNzs7GzNnzoSdnR0cHR3h5OSEP//8s8xjmjx5MmxsbMBxHMLCwpQuK+r4nTx5Eq6urnB2doaTkxO2b99e5nFXZpxIHZyFCWSv4guvRAOjEkIIIRUmIyMDf/zxB5ydndGuXTvs2bMHEokEnp6e2LlzJ2JiYrBo0SJKgBBClEJJkBoqKioKmzdvRqtWitOAjhs3Dr6+vnj69ClmzpwJHx8fpcoqMo7yiqUor169wpIlS7By5Uql6vv4+ODZs2e4e/cuwsPDcfz4caxYsQIbNmwo07i+/PJLXLlyBfXq1StRWWHHjzGGr7/+Gtu2bUNYWBiOHz+OcePG8YOL1RSC2maQvUkotJxlS8BREoQQQggpV0+fPsWUKVNQu3ZtjBs3Dvfu3YOWlhZGjx6N27dv49q1axg+fDg0NDRUHSohpAqhJEgNJJPJMGbMGKxfv17hpJGQkIBbt27h66+/BgAMHDgQMTExePbsWZFleT158gR16tTBixcvAAArVqxA9+7dIZPJyiQOZcrz4jgOycnJ/H0TExNERUXxZYsWLYKHhwdsbGxw5MgRLFmyBO7u7rC3t8fFixcBAGKxGD4+PtiwYQN0dXWLPb4RERE4cuQI/vjjD+joyMeNsLGxwcqVK/HLL78Uu35JtG/fvtD57QsrK+745T1mqampqFWrVo37cMFZmYHFvQWT5hRcQZxNPUEIIYSQcpCTk4N//vkH3bp1g4ODA9auXYuUlBQ0aNAAK1euxOvXr7Flyxa4urqqOlRCSBVFY4JUpKPfA3HldNmGRROgz2qlqq5atQpt2rSBm5ubwvKYmBhYWlpCTU3+tOA4DtbW1oiOjoaBgUGhZXZ2dvw2HBwcsHz5cgwaNAgrVqyAv78/bt68WeA4GqWJw87OrtjyktDV1cWNGzcQFBSEvn374rfffsOtW7ewf/9+zJgxAyEhIQgICMCjR48wbtw4AMCuXbtQu3Yhs4YACA0Nhb29PWrVqqWw3NPTE7GxsYiPj4e5uXm+9QYPHownT54UuM1jx46hbt26JWpbYYo7fnv37sWAAQOgo6ODpKQkHDp0CKIaNv6FwMoMyJGBJbwHZ2WmUMYYA2iKXEIIIaRMvX37Flu2bMHGjRsRHR0NQP4ZpVevXvDz80O3bt2q9bhsWRIxtpzfBwAY23kwNNTpcwYh5aXKJEESExPx7bff4tixY/xUpWvXri3yl/mOHTvi0qVLCsvGjRuHjRs38vejo6MxYcIEXLhwAbq6uvD29saSJUv4L4jVzYMHD3Dw4EEEBweX2z6GDh2KCxcuwMvLC0FBQTA1NVVJHMoYPHgwAMDd3R0ZGRkYMmQIAKBly5aIiIgAAIwcORIjR44ss31qaWkVuHzv3r1lto/SkkqlWLhwIQ4dOoT27dsjJCQEffr0wf3792FiYqLq8CqMwEqepJK9jpcnRPLKlg/CRj1BCCGEkM8jk8lw7do1bNq0Cfv27UN2djYAoFatWhg9ejTGjx+P+vXrqzjKihFw9RgWHvYHAOhoaGFkxy9VHBEh1VeV+aY/fPhwxMbGIjAwEBKJBCNHjoSvry8CAgKKXG/s2LFYsGABfz/v1KY5OTno1asXLCwscO3aNcTGxmLEiBFQV1fH4sWLy74RSvbUKE+XL19GVFQU7O3tAcinF/P19UVsbCwGDhyI2NhYSKVSqKmpgTGG6OhoWFtbQ19fv9CyT0mlUjx48ADGxsb8lGVlFQcA1K1bV+lYhEIhcnL+u6QhKytLoTx3kFOhUJjvvlQqLdGxzeXi4oKIiAi8f/9eoTfI9evX0aRJE+jr6xe4XkX1BCnq+IWFheHNmzdo3749AKBFixaoU6cOQkND8cUXX5TJ/qsCzlKeuGNx7/IXUhKEEEIIKTWxWIzz58/jyJEj+OeffxAf/99A5C1atICfnx8GDx6s1ED01UWWRIz1p/8biH7d6e0Y1qYP9QYhpLywKuDRo0cMAAsJCeGXnTp1inEcx16/fl3oeh06dGDfffddoeUnT55kAoGAxcXF8cs2bNjA9PX1mVgsVjq+lJQUBoClpKQovU5l0aFDB3b48GGF+1u3bmWMMbZ//37m5uamVFle06ZNYz4+PiwiIoLVqVOHRURElGkcJYnFwcGBnThxgjHG2MGDBxkAFhkZyRhjDABLSkpijDGWlpbG8r4cYmJimI6OTpExf/PNN+zQoUMFlg0aNIgNGDCAZWRkMMYYi4yMZE5OTuz06dNFbrO06tWrx0JDQ5UuK+z4xcXFMV1dXfbo0SPGGGMRERHMyMiIvXz5slzirqxk0hyW3n8Sy/rzQL6ynHdJLL3PRJZ99LwKIiM1RVU+r9QE9PgQUjLJycls9+7dbNCgQUxPT48B4P8MDAyYj48Pu3nzpqrDVJk/L+xn5uM8mMus3sx55v+Y+TgP9teF/aoOi5AqR9nzc5VIgvz555/M0NBQYZlEImFCobDQL6GMyb/omZiYsFq1arEmTZqwWbNm8V9KGWNs7ty5rHnz5grrvHjxggFgd+7cKXS7WVlZLCUlhf+LiYmpsh+GPk0+PH78mLVq1YrZ29szNzc3du/ePaXKch07dow1adKEP8779u1jLi4uLDMzs8ziUDYWxuSJLjs7O+bi4sLmzJnDatWqVWZJEEdHR4XEXF5ZWVlsxowZzNbWltnZ2TGhUMhOnTpV5PZKw9fXl9WuXZsJhUJmZmbGGjRooFRZUccvICCAOTk5sWbNmjEnJye2a9euMo+7KsgYM5dlLvkj3/KcN/HyJMiZKyqIitQU9CW7cqPHh5DivXnzhm3YsIF5eXkxdXV1hcSHlZUVmzhxIjt79myJfnisjjKzs/jEx9aLB9hfHxMizjP/x7Kya/axIaSklD0/c4wxVqFdT0ph8eLF2L59e75LBczMzDB//nxMmDChwPX++OMP1KtXD1ZWVrh37x5mzpyJli1b4tChQwAAX19fvHz5EmfOnOHX+fDhA3R0dHDy5En06NGjwO3+/PPPmD9/fr7lKSkphV7qQKqXt2/fYtiwYQgMDCy2rkwmw6xZsxAYGIigoCAYGxtXQITkc2X+3xogSwytlTMVlsuiXiPzu8XQ+N4bah1bqiY4Uu2lpqbCwMCAziuVFD0+hBTsyZMnOHLkCI4cOYJ///1XoczR0RH9+vVDv3794O7uXq0HOS2Jvy4ewI97VsDKyAzXFxwAALSaOxCxyW+xZMh0GhuEkBJQ9vys0jFBZs2ahV9//bXIOuHh4aXevq+vL3+7adOmsLS0RJcuXfD8+XM0aNCg1NudPXs2pk6dyt9PTU0ts/EaSNVgamqqVAIEAAQCAZYtW1bOEZGyJjA1hvRO/tmcWO6YIDQ7DCGEkBpOJpPh1q1bOHLkCA4fPozHjx8rlLdq1YpPfDg4OKgoysor71ggk7t782OATO7ujdl7VtDYIISUE5UmQaZNmwYfH58i69ja2sLCwgIJCQkKy6VSKRITE2FhYaH0/jw8PAAAz549Q4MGDWBhYYGbN28q1MkdnKmo7WpoaEBDQ0Pp/RJCqh7O1BhISQcTZytOh0sDoxJCCKnBsrOzcfHiRX5g0zdv3vBl6urq6Ny5M/r164c+ffrAyspKhZFWfgFXjyE2+S2sjMwwtHVvfvmwNn2w7vR2xCa/RcDVo9QbhJAyptIkiKmpaYHTp37K09MTycnJuH37Ntzc3AAA58+fh0wm4xMbyggLCwMAWFpa8ttdtGgREhISYGYmnwYzMDAQ+vr6aNy4cQlbQwipTjgz+WVL7G0SuDrm/HL2cfo+jpIghBBCaoi0tDScPn0aR44cwYkTJ5CSksKX6enpoWfPnujXrx969OgBAwMDFUZadYgl2QX2AgEADXUR3xtk/Zkd1BuEkDJWJabIdXR0RPfu3TF27Fhs3LgREokEkyZNwpAhQ/gM8+vXr9GlSxfs2LEDLVu2xPPnzxEQEICePXuiVq1auHfvHr7//nu0b98ezZo1AwB069YNjRs3xjfffINly5YhLi4Oc+bMgZ+fH/X0IKSG42oZAgBYYjKQJwkCMfUEIYQQUv3Fx8fj2LFjOHLkCM6dOwexWMyXmZubo2/fvujXrx86d+5Mn5tLIeDq0QJ7geTK7Q3yJikBu68dg0+HgSqIklQZjAGSD6VbV10b4LiyjaeSqxJJEADYtWsXJk2ahC5dukAgEGDgwIFYt24dXy6RSPDkyRN8+CB/8EUiEc6dO4c1a9YgIyMDdevWxcCBAzFnzhx+HaFQiOPHj2PChAnw9PSEjo4OvL29sWDBggpvHyGkchEYy3/JYokpigUfL4fhaEwQQggh1cyzZ8/4gU2vXbuGvPMn2NnZoX///ujXrx9atWpFA5t+BrEkG+sK6QWSK29vkHWnt2No697UG4QUTvIBWGBZunXnxQIinbKNp5KrMkkQY2NjBAQEFFpuY2Oj8EZdt25dXLp0qdjt1qtXDydPniyTGAkh1QdnJB9RmiWlKixnNCYIIYSQaoIxhjt37vCJjwcPHiiUu7u784kPR0dHcDXs1+LyktsLxEy/Fvq6d0WGOLPAev1afIHVJ7dSbxBCyliVSYIQQkiF0tMBhALIkj7tCSIfE4SSIIQQQqoiiUSCy5cv84mPmJgYvkxNTQ0dO3bkBzal2Q/LXt5eIAmp7+E4zUup9ag3CFHarOeASLvoOtkfgKWlny21qqMkCCGEFIATCMAZ6ufvCfJxTBAaGJUQQkhVkZGRgbNnz+Lw4cM4fvw4kpKS+DJtbW306NED/fr1Q69evWBkZKTCSKu/3F4gJUW9QYjSRNo17vKWkqIkCCGEFIIzNihgTJCPPUFoTBBCCCHlLEsixpbz+wAAYzsPLlEvgHfv3vEDm549exZZWVl8mYmJCfr06YP+/fujS5cu0NLSKvPYScGGtumNQZ69SrWukMZhIaRMUBKEEEIKwRnpQ/Y6QXFh7uww6vT2SQghpHwFXD2GhYf9AQA6GloY2fHLIutHRkbin3/+wZEjR3D58mXIZDK+rH79+vz4Hq1bt4ZQKCzX2EnBNNVpJh1CVI0+xRNCSCE4IwOwBxEKy1i2BFBXA0e/xhBCCClHWRIx1n8cOwKQjwkxrE0fhd4gjDHcu3cPhw8fxpEjR3D37l2Fbbi4uKBfv37o168fmjZtSgObEkIIKAlCCCGF4oz0gQ9ZYOLs/6bEzZbQoKiEEELKXcDVY4hNfgsrIzMwxhCb/BYBV4/im7b9cPXqVX5g06ioKH4dgUCA9u3b84mPevXqqa4BhBBSSVEShJBiXLlyBdOnT4dAIMDAgQMxbdo0VYdEKginLx9UiqVl8EkQlp0NTkTjgRBCCCk/eXuBTO7ujezsbMw7uBbzd6/BD4Mn4F3CO76upqYmvLy80L9/f/Tq1QsmJiaqCpsQQqoESoIQUgxbW1sEBwdDJBKhU6dOmDBhArS1i5l2ilQLnJ4uAIClpgMmH0fLF0sADeoJQgghpPzk9gIxEOniyNqdCAwMhHbfhsjSBTJMBDCWGqN3797o168fvvjiC+jo0EwQhBCiLEqCEFIMKysr/rZQKISAxoKoMTh9eRIEqRn/LczOpplhCCGElLnY2FhcunQJ5y9ewDFxKKAhQEzQfTx9JB+g2+hlJqRNRLDp1hwhi49AR4t+kCGEkNKgb3M1kI2NDRwcHODs7AxnZ2fs3buXL4uIiEDr1q3RsGFDtGjRAg8fPlSqrCLjKI9YlBEYGIgGDRpAU1Oz2LrZ2dmYOXMm7Ozs4OjoCCcnJ/z5559lGk9WVhb69euHhg0bonnz5vjiiy/w7NmzYssAYPLkybCxsQHHcQgLC1PYriqObaVlkKcnyEdMLAFHY4IQQgj5TK9fv0ZAQAB8fX3h4OAAKysrDB06FDuv/AOmIUBOuhj2IkvMnTsXd+7cwbOgMFgamiIxMxX7bpxUdfiEkMoq+wOQnVHM3wdVR6lajHy2lJQUBoClpKSoOhSl1KtXj4WGhhZY1qlTJ7Z161bGGGP79+9n7u7uSpVVZBzlEUtxYmJiWKdOnVhaWppS9YcOHcoGDBjA0tPTGWOMRUZGskaNGrHff/+9zGLKzMxkJ06cYDKZjDHG2Pr161mHDh2KLWOMsUuXLrGYmJgCH4OKPraVWc67JJbeZyLLPnaBX/Zh+jL24cfVKouJ1AxV7bxSVi5dusT+97//MUtLSwaAHT58WKFcJpOxuXPnMgsLC6apqcm6dOnCnj59qlDn/fv3bNiwYUxPT48ZGBiwUaNG5Xvvvnv3Lmvbti3T0NBgderUYb/++muJ4qypjw/5PNHR0WzHjh1s9OjRzM7OjgFQ+OM4jjV3cWY249ox83Ee7LcT2/Nt468L+5n5OA/mMqs3y8oWq6AVhJBKSZzO2P/ple5PnK7q6MuMsudnjjHGVJaBqSZSU1NhYGCAlJQU6OvrF1ov+MptJCallEsMxkYGaN/WTam6NjY2OHLkCJydnRWWJyQkwM7ODomJiVBTUwNjDJaWlrhy5Qr09fULLbOzs+O38eTJE3Tp0gXBwcGwtbXFihUrcO7cOZw8eTLfZSSlicPOzq7Y8rw4jkNSUhIMDQ0BACYmJrh16xbfC2LhwoU4evQo4uPjsWbNGoSHh+PgwYNISUnB5s2b0bFjR4jFYvTq1Qv+/v5wcHAo9vhGRESgefPmiImJQa1atfjlJ0+exJgxY/DmzRslHqWSu3XrFr788kuFUeKLK/v0MSjJsa0JWLYEH76aAvXBPSAa9j8AwIfJiyAwMYTmPD8VR0eqM2XPK9XNqVOncPXqVbi5uWHAgAE4fPgw+vXrx5f/+uuvWLJkCbZv34769etj7ty5uH//Ph49esT30uvRowdiY2OxadMmSCQSjBw5Ei1atEBAQAAA+bFt2LAhunbtitmzZ+P+/fsYNWoU1qxZA19fX6XirKmPDymZqKgoXLp0CRcvXsSlS5cQGRmpUC4QCODi4oIOHTqgQ4cOaNeuHY7cDcLsPStgZWSG6wsOKEyHCwBiSTZazR2I2OS3WDp0Bnw6DKzIJhFCKqvsDGCBZenWnRcLiKrHuELKnp9pTJAaasSIEWCMoWXLlli6dClMTU0RExMDS0tLqKnJnxYcx8Ha2hrR0dEwMDAotCzvl2MHBwcsX74cgwYNwooVK+Dv74+bN28WOo5GSeOws7MrtrwkdHV1cePGDQQFBaFv37747bffcOvWLezfvx8zZsxASEgIAgIC8OjRI4wbNw4AsGvXLtSuXbvQbYaGhsLe3l4hAQIAnp6eiI2NRXx8PMzNzfOtN3jwYDx58qTAbR47dgx169Ytsi1r165F3759S1yWV1ke2+qAE6kDmhpgCmOCSACaHYaQctGjRw/06NGjwDLGGNasWYM5c+bw72c7duyAubk5jhw5giFDhiA8PBynT59GSEgI3N3dAQDr169Hz549sWLFClhZWWHXrl3Izs7GX3/9BZFIhCZNmiAsLAyrVq0qNAkiFoshFov5+6mpqWXcclLVMcYQGRnJJzwuXbqEly9fKtQRCoVwdXVFx44d0aFDB7Rt2xYGBgZ8uViSjXV5ZoT5NAECABrqIkzu7o3Ze1Zg3entGNq6d4H1CCE1jLq2PJlR2nVrGEqCVCBle2qUt+DgYFhbW0MikWDOnDnw9vbGyZNld23p0KFDceHCBXh5eSEoKAimpqYqiUMZgwcPBgC4u7sjIyMDQ4YMAQC0bNkSERERAICRI0di5MiRZbZPLS2tApfnHROlpBYvXoxnz54hKCioRGWkeJy+rsKYIBBn0+wwhKhAZGQk4uLi0LVrV36ZgYEBPDw8cP36dQwZMgTXr1+HoaEhnwABgK5du0IgEODGjRvo378/rl+/jvbt20OUJ5np5eWFX3/9FUlJSTAyMsq37yVLlmD+/Pnl20BSpTDG8OzZMz7hcfHiRbx69UqhjlAoRIsWLfieHm3atCnyl8mAq0cRm/wWZvq10Ne9KzLEmQXW69fiC6w+uRVvkhKw+9ox6g1CCAE4rtr05qgIlASpgaytrQEA6urqmDJlCho2bAgAqFu3LmJjYyGVSvlLIaKjo2FtbQ19ff1Cyz4llUrx4MEDGBsb4/Xr12UahzLleQmFQuTk5PD3s7KyFMpzu08LhcJ896VSqRJHMz8XFxdERETg/fv3Cr1Brl+/jiZNmhT6Aai0PUFWrFiBQ4cO4dy5c/mm7i2qrCAlObY1BaevA5aWZ2DUbAk46glCSIWLi4sDgHw96czNzfmyuLg4mJmZKZSrqanB2NhYoU79+vXzbSO3rKAkyOzZszF16lT+fmpqarG980j1whjD06dPFXp6fHp5q7q6Op/06NixI1q3bg1dXV2ltp+3F0hC6ns4TvNSaj3qDUIIISVHSZAaJiMjAxKJhB8jY/fu3XBxcQEAmJmZwdXVFTt37oSPjw8OHjyIOnXq8JdBFFWW16xZs+Dg4IAdO3agU6dOcHNzy1fvc+IorjwvOzs73LhxAz179sShQ4eQkZGRr05pjRgxAv3790f//v0Vltvb26N3797w9fXF33//DW1tbURFRWHmzJlYuXJlodsrTU+QVatWYffu3Th37hx/LJUpK0xJjm1NwenrgiXmGctHnA3Q7DCE1CgaGhrQ0NBQdRikAjHGEB4ezic8Ll26xCfScolEInh4ePA9PTw9PaGjU7pfYnN7gZQU9QYhhJCSoyRIDRMfH4+BAwciJycHjDHY2tpix44dfPmmTZvg4+ODxYsXQ19fH1u3blWqLNfx48dx+vRp3Lx5E9ra2li1ahUGDRqEa9euKUwt+zlxKBsLAKxevRqTJ0/GnDlz0KtXr3zjdHyOW7duYfLkyQWW7dixA3PnzkXTpk0hEAgQGRmJ48ePw8tLuV92lPHq1StMmzYNtra26NSpEwD5B/UbN24UWQYA48aNw4kTJxAXFwcvLy/o6enxU+gqe2xrDH0dsCh5jyYmkwESKTgN+sWNkIpmYWEBQH7+sLT8b/C3+Ph4fnBnCwsLJCQkKKwnlUqRmJjIr29hYYH4+HiFOrn3c+uQmkcmk+HRo0d8T4/g4OB8zyUNDQ20atWK7+nRqlWrQi9xLamhbXpjkGevUq0rLGTcNUIIIQWj2WHKAI0SX/O8ffsWw4YNQ2BgYLF1ZTIZZs2ahcDAQAQFBcHY2LgCIiRlRbzlAKSnLkP7wBogW4IPg76H+tBeEA3pqerQSDVG5xX5wMx5Z4dhjMHKygrTp0/HtGnTAMiPk5mZGbZt28YPjNq4cWPcunULbm7ycbjOnj2L7t2749WrV7CyssKGDRvwf//3f4iPj4e6urxX148//ohDhw7h8ePHSsVGj0/VJ5PJcP/+fYWeHu/fv1eoo6mpidatW/M9PTw8PBR+0CGkVBgDJB9Kt666tnzsB0JIgWh2GELKkampqVIJEEA+Bd6yZcvKOSJSXjh9XUAqBTLF8v8A9QQhpJykp6fzvdIA+WCoYWFhMDY2hrW1NaZMmYKFCxfC3t6enyLXysqKT5Q4Ojqie/fuGDt2LDZu3AiJRIJJkyZhyJAhsLKyAgAMGzYM8+fPx+jRozFz5kw8ePAAa9euxerVq1XRZFJBcnJycO/ePX4Q08uXLyMxMVGhjra2Np/06NixI1q0aEGXQZGyJ/lAU5kSomKUBCGEkCJw+vIPGyw1Hfg4gC6NCUJI+bh16xZ/CR8AfjBSb29vbNu2DT/88AMyMjLg6+uL5ORktG3bFqdPn1b4dX7Xrl2YNGkSunTpAoFAgIEDB2LdunV8uYGBAc6ePQs/Pz+4ubnBxMQE8+bNK3R6XFI1SaVShIWF8b08goODkZKSolBHR0cHbdq04aesdXd3V5g1iBBCSPVESRBCCCkCpy8f2Z+lpIHT+TjDDvUEIaRcdOzYEUVdpctxHBYsWIAFCxYUWsfY2BgBAQFF7qdZs2a4fPlyqeMklU9sbCzu3LmD27dv48aNG7hy5QpSU1MV6ujp6aFt27Z8Tw9XV1f+kihCVGLWc0BUzOx92R+ApQ0qJh5CaghKghBCSBH4JEhaBqAuf8vkqCcIIYSoBGMMb968we3bt3H79m0+8REbG5uvrr6+Ptq1a8f39HBxcYGaGn30JZWISJsubyFEBehMQAghReCTIKkZeXqCUBKEEFJzZEnE2HJ+HwBgbOfB0FCvmN5wjDHExMTwiY7cpMens/sA8vG3GjVqBFdXV7i5uaF9+/Zo3rw5hLmXMRJCCCEfURKEEEKKkJsEQWoaUMtAvowuhyGE1CABV49h4WF/AICOhhZGdvyyzPfBGMPLly/z9fB49+5dvroCgQCNGzeGm5sb3Nzc4OrqCmdnZ+jo0C/qhBBCikdJEEIIKYqevPcHS80Ay5bIl9HlMISQGiJLIsb609v5++tOb8ewNn0+qzcIYwwvXrzI18Pj09laAEBNTQ1NmjThkx1ubm5o1qwZtLWLGUeBEEIIKQQlQQghpAicUAjo6chnhxFnyxdSTxBCSA0RcPUYYpPfwsrIDIwxxCa/RcDVo0r3BpHJZHj+/LlCsuPOnTtITk7OV1ddXR1OTk58Dw83Nzc0bdpUYfafaosx+dSppaGuDXBc2cZDCCHVGCVBCCGkGNzHJEhuTxCOplAkhNQAeXuBTO7uDcYYZu9ZUWhvEJlMhqdPnypczhIaGppvlhYAEIlEaNasmUIPDycnJ2hoaFRI2yodyQdggWXp1p0XS4NrEkJICVAShBBCisHp637SE4QuhyGEVH95e4EMbd0bgPxymNjkt9h55R94mjdR6OERGhqK9PT0fNvR0NBA8+bNFcbwaNKkCUSUUCaEEKIClAQhhJBicAa6kL2KB6gnCCGkhsjbC2RSt2/w9PET3L59G5Zp2ogFMPuvpXgbEArImMJ6WlpacHZ2Vujh4ejoCHV1Sh4rbdZz+dSpRcn+ACxtUDHxEEJINUNJEEKKceXKFUyfPh0CgQADBw7EtGnTVB0SqWCcni5Y6nOwD1nyBVo1tLs2IaTay8nJwdOnT7H22FbEJr+FMBuY1NsHmRkfx6sQcDAZ6gyhrggGzeugqU49Ptnh5uYGBwcHqKnRx8vPItKmy1tqimwlxoFRpg4hpEToLEVIMWxtbREcHAyRSIROnTphwoQJNCp9DcPp6wDpH8DSMgA1Ic0OQwipFnJnabl16xZCQkJw69Yt3L59G+kfMvhER9KNSGRmfICenh5cXFzg5uaGTEt1HH5+CfW7OePcLwc+a6YYQmo06s1DiEpUmSRIYmIivv32Wxw7doz/RX7t2rXQ1dUtsH5UVBTq169fYNm+ffvw1VdfAQC4AkbT3r17N4YMGVJ2wZMqzcrKir8tFAohEAhUGA1RBc5AF2AMLOE9oK1V4PsGIYRUZowxvHr1SiHhcevWLSQlJeWra+BcB0JdEbQ5EX6dtRytWnrA3t6eP/+JJdn4d+5AxCYnYPe1Y/DpMLCim0MIIYSUWpVJggwfPhyxsbEIDAyERCLByJEj4evri4CAgALr161bF7GxsQrL/vjjDyxfvhw9evRQWL5161Z0796dv29oaFjm8VcmYrEY06ZNw5kzZ6CpqYnmzZtj586dAICIiAh4e3vj3bt3MDAwwLZt29CkSZNiyyoyjvKIRRmBgYFo0KCBUlP1ZWdnY+7cuTh48CDU1dUhFArx/fffY/To0WUak42NDTQ0NKClpQUAmD17NgYPHgwA6NatG+Li4iAQCKCnp4d169bBxcWl2LLTp09jzpw5yM7Ohra2NjZt2oTmzZuXadxVjr482SqLfQdOuwZM1UgIqfLi4+PzJTzi4+Pz1ROJRGjevDlatGgBd3d3NHd1xqjd8xCX/BbzhnwH7wISHBrqIkzu7s3PFDO0dW/qDUKIstS15TP6lHZdQshnqxJJkPDwcJw+fRohISFwd3cHAKxfvx49e/bEihUrFH6pzyUUCmFhYaGw7PDhwxg0aFC+3iOGhob56hZFLBZDLBbz9wua+q0ymzVrFjiOw9OnT8FxHOLi4viycePGwdfXFz4+Pjhw4AB8fHwQEhJSbFlFxlEesRTn1atXWLJkCY4ePapUfR8fH4jFYty9exc6OjqIiopCjx49kJ2djQkTJpRpbHv37oWzs3O+5fv27eMTeocPH4aPjw/u3r1bZFlSUhKGDx+O4OBgNGnSBJcvX8bw4cPx4MGDMo25quE+JkFY3FsI6uV/vyGEEFVKTEzE7du3+YRHSEgIXr16la+eUCiEk5MTn/Bo0aIFnJycFGZp2XrxAOKS38JMvxb6undFhjizwH32a/EFVp/cijdJ1BuEkBLhOBrzhRAV4xhjrPhqqvXXX39h2rRpCl02pVIpNDU1sX//fvTv37/Ybdy+fRvu7u64evUqWrduzS/nOA5WVlYQi8WwtbXF+PHjMXLkyCK7u//888+YP39+vuUpKSnQ19cvdD3xht2QvXxTbKylIahnBY0JQ4utl5GRAUtLS7x69SpfrAkJCbCzs0NiYiLU1NTAGIOlpSWuXLkCfX39Qsvs7Oz4bTx58gRdunRBcHAwbG1tsWLFCpw7dw4nT55UuIyktHHY2dkVW54Xx3FISkriv/CbmJjg1q1bsLGxAcdxWLhwIY4ePYr4+HisWbMG4eHhOHjwIFJSUrB582Z07NgRYrEYvXr1gr+/PxwcHIo9xhEREWjevDliYmJQq1YtfvnJkycxZswYvHlTds8BGxsbHDlypMAkSF7btm3DmjVrEBYWVmTZrVu3MGzYMDx9+pQv19fXx8WLF+Hq6lpmcVc1OU+jkDVjOQBA0KwhtH75TsURkeouNTUVBgYGxZ5XiGqo8vFJS0vDnTt3FBIeL168yFeP4zg0atRIIeHRvHlzvudgQcSSbLSaOxCxyW9LFJOVkRmuL6CxQT5LdgawwFJ+e15s8V+SS1qfEEJqAGXPz1WiJ0hcXBzMzMwUlqmpqcHY2Fih90BR/vzzTzg6OiokQABgwYIF6Ny5M7S1tXH27FlMnDgR6enpmDx5cqHbmj17NqZOncrfT01NRd26dUvQItV5/vw5jI2NsXjxYpw7dw5aWlr4+eef0aVLF8TExMDS0pIf1Z3jOFhbWyM6OhoGBgaFluVNPDg4OGD58uUYNGgQVqxYAX9/f9y8eTPfOBqljcPOzq7Y8pLQ1dXFjRs3EBQUhL59++K3337DrVu3sH//fsyYMQMhISEICAjAo0ePMG7cOADArl27ULt27UK3GRoaCnt7e4UECAB4enoiNjYW8fHxMDc3z7fe4MGD8eTJkwK3eezYsUKfYyNGjABjDC1btsTSpUthamqqUHbhwgUA8iTMp+t9WmZvb4/379/j2rVraN26NY4ePYq0tDRERUXV6CRIbk8QAOC0C/8CQQghZenDhw+4e/euQsLjyZMnKOj3qwYNGvAJD3d3d7i6ukJPT69E+wu4erTECRAA1BuEEEJIlaLSJMisWbPw66+/FlknPDz8s/eTmZmJgIAAzJ07N19Z3mUuLi7IyMjA8uXLi0yCaGhoQEOj5FNkKtNTo7xJpVK8fPkSjRs3xtKlSxEaGoovvvgCDx8+LLN9DB06FBcuXICXlxeCgoIUvpRXZBzKyB0/w93dHRkZGfyAuC1btkRERAQAYOTIkRg5cmSZ7bOwX+H27t1b4m0FBwfD2toaEokEc+bMgbe3t0KyY8eOHQCA7du3Y+bMmcWWGRgY4MCBA5g9ezbS09Ph6emJxo0b1/jpDjmj/zLJXC1D1QVCCKm2pFJpvoTHw4cPkZOTk69u3bp1FRIebm5uMDY2/uwYhrbpjUGevUq1rpAGDSeEEFJFqPSbzbRp0+Dj41NkHVtbW1hYWCAhIUFhuVQqRWJiolJjeRw4cAAfPnzAiBEjiq3r4eGBX375BWKxuFSJjsrO2toaAoEAw4cPByBP/NSvXx/3799Hs2bNEBsbC6lUyl9mEh0dDWtra+jr6xda9impVIoHDx7A2NgYr1+/LtM4gP8GvVUmFqFQqPABMisrS6E8d5BToVCY775UKi3Rsc3l4uKCiIgIvH//XqE3yPXr19GkSZNCu2aVpidIbpvV1dUxZcoUNGzYsMD1vb29MX78+HwxFVTWqVMndOrUCYB8/BsLCws0bty4+IZXY5yGSD41rjQHArPP/6JBCCGf+vDhAz/uWV7m5uYKCQ93d/cCexOWBU316ve5p0rK/lA2dQghhBRIpUkQU1PTAnsJfMrT0xPJycm4ffs23NzcAADnz5+HTCaDh4dHsev/+eef6NOnj1L7CgsLg5GRUbVMgADyMTG6dOmCM2fOoGfPnoiMjERkZCQcHR1hZmYGV1dX7Ny5Ez4+Pjh48CDq1KnDX2JSVFles2bNgoODA3bs2IFOnTrBzc0tX73PiaO48rzs7Oxw48YN9OzZE4cOHUJGRkaZHcsRI0agf//++caksbe3R+/eveHr64u///4b2traiIqKwsyZM7Fy5cpCt1fSniAZGRmQSCT8eCe7d+/mZ3hJTk7Ghw8f+EGDjxw5glq1asHY2LjIMgCIjY2FpaX8OuNffvkFnTt3LvFlRtURp6cLlpQCzpSSIISQsqevrw9PT0/o6uoqjONRu3Ztmpa7plnaQNUREEJItVYl+rg7Ojqie/fuGDt2LDZu3AiJRIJJkyZhyJAh/Be5169fo0uXLtixYwdatmzJr/vs2TMEBwfnGw8BkP+6Hh8fj1atWkFTUxOBgYFYvHgxpk+fXmFtU4WNGzdi9OjRmDlzJgQCATZt2sSPcbFp0yb4+Phg8eLF0NfXx9atW/n1iirLdfz4cZw+fRo3b96EtrY2Vq1ahUGDBuHatWv5ppYtbRzKxgIAq1evxuTJkzFnzhz06tUrXy+Iz3Hr1q1CL5vasWMH5s6di6ZNm0IgECAyMhLHjx+Hl5dXme0/Pj4eAwcORE5ODhhjsLW15S9xSUlJwVdffYXMzEwIBAKYmpri+PHj4DiuyDIAmDdvHi5fvgypVApPT0/8+eefZRZzVSaaNAzSoH8hbFpwbxtCCPlc165dU3UIhBBCSLVXJWaHAeTTv02aNAnHjh2DQCDAwIEDsW7dOn6626ioKNSvXx8XLlxAx44d+fV+/PFH7Ny5E1FRUfkG5zx9+jRmz56NZ8+egTEGOzs7TJgwAWPHjs1Xtyg0in/N8/btWwwbNgyBgYHF1pXJZJg1axYCAwMRFBRUJtdtE0KqNzqvVG70+JAyxxggKeUlLura8mlXCSGkhlP2/FxlkiCVGX0YIoQQUpbovFK50eNDCCGEVD7Knp9pKG9CCCGEEEIIIYTUCJQEIYQQQgghhBBCSI1ASRBCCCGEEEIIIYTUCJQEIYQQQgghhBBCSI1ASRBCCCGEEEIIIYTUCJQEIYQQQgghhBBCSI1ASRBCCCGEEEIIIYTUCJQEIYQQQgghhBBCSI1ASRBCCCGE1Dj+/v6wsbGBpqYmPDw8cPPmTVWHRAghhJAKQEkQQgghhNQoe/fuxdSpU/HTTz/hzp07aN68Oby8vJCQkKDq0AghhBBSzigJQgghhJAaZdWqVRg7dixGjhyJxo0bY+PGjdDW1sZff/2l6tAIIYQQUs7UVB1AdcAYAwCkpqaqOBJCCCHVQe75JPf8QspOdnY2bt++jdmzZ/PLBAIBunbtiuvXrxe4jlgshlgs5u+npKQAoPM+IYQQUpko+/mJkiBl4P379wCAunXrqjgSQggh1cn79+9hYGCg6jCqlXfv3iEnJwfm5uYKy83NzfH48eMC11myZAnmz5+fbzmd9wkhhJDKJy0trcjPT5QEKQPGxsYAgOjo6Cr9YTU1NRV169ZFTEwM9PX1VR3OZ6G2VE7UlsqpurSlurQDkPc0sLa25s8vRLVmz56NqVOn8vdlMhkSExNRq1YtcBxX6HrV6TlZHuj4FI2OT/HoGBWNjk/R6PgUrSoeH8YY0tLSYGVlVWQ9SoKUAYFAPrSKgYFBlXmCFEVfX79atAOgtlRW1JbKqbq0pbq0A/jv/ELKjomJCYRCIeLj4xWWx8fHw8LCosB1NDQ0oKGhobDM0NBQ6X1Wp+dkeaDjUzQ6PsWjY1Q0Oj5Fo+NTtKp2fJTplECfrgghhBBSY4hEIri5uSEoKIhfJpPJEBQUBE9PTxVGRgghhJCKQD1BCCGEEFKjTJ06Fd7e3nB3d0fLli2xZs0aZGRkYOTIkaoOjRBCCCHljJIgZUBDQwM//fRTvq6yVU11aQdAbamsqC2VU3VpS3VpB1C92lIZDR48GG/fvsW8efMQFxcHZ2dnnD59Ot9gqZ+LHsei0fEpGh2f4tExKhodn6LR8SladT4+HKP59wghhBBCCCGEEFID0JgghBBCCCGEEEIIqREoCUIIIYQQQgghhJAagZIghBBCCCGEEEIIqREoCUIIIYQQQgghhJAaoUYlQYKDg9G7d29YWVmB4zgcOXJEodzHxwccxyn8de/evcBticViODs7g+M4hIWFKZTdu3cP7dq1g6amJurWrYtly5YVG1t0dDR69eoFbW1tmJmZYcaMGZBKpSpty8WLF9G3b19YWlpCR0cHzs7O2LVrV7Ft+XS/HMdhz549Km1LVFRUgXH9+++/RbalMj4uP//8c4Ft0dHRKbItJXlcyqIdNjY2+eosXbpUoU5Vea0U15aq9Fopri1V6bVSXFsq4rVSVm0BgBMnTsDDwwNaWlowMjJCv379FMpLeowBIDExEcOHD4e+vj4MDQ0xevRopKenF7lOTVLcY8cYw7x582BpaQktLS107doVERERCnWUOcbKvNft378fjRo1gqamJpo2bYqTJ0+WOJaytmTJErRo0QJ6enowMzNDv3798OTJE4U6WVlZ8PPzQ61ataCrq4uBAwciPj5eoY4yz92LFy/C1dUVGhoasLOzw7Zt2/LF4+/vDxsbG2hqasLDwwM3b94scSxlacOGDWjWrBn09fWhr68PT09PnDp1qkTxVNdjU5ClS5eC4zhMmTKlRHFV52NU0HmqUaNGJYqpOh8fAHj9+jW+/vpr1KpVC1paWmjatClu3brFl9fk9+mCPgdxHAc/Pz8A9PwpEqtBTp48yf7v//6PHTp0iAFghw8fVij39vZm3bt3Z7GxsfxfYmJigduaPHky69GjBwPAQkND+eUpKSnM3NycDR8+nD148IDt3r2baWlpsU2bNhUal1QqZU5OTqxr164sNDSUnTx5kpmYmLDZs2ertC2LFi1ic+bMYVevXmXPnj1ja9asYQKBgB07dqzQuBhjDADbunWrwr4zMzNV2pbIyEgGgJ07d05hO9nZ2YXGVVkfl7S0NIX1Y2NjWePGjZm3t3ehcTFWsselLNpRr149tmDBAoU66enpfHlVeq0U15aq9Fopri1V6bVSXFsq4rVSVm05cOAAMzIyYhs2bGBPnjxhDx8+ZHv37uXLS3OMGWOse/furHnz5uzff/9lly9fZnZ2dmzo0KFFrlOTFPfYLV26lBkYGLAjR46wu3fvsj59+rD69esrPB+KO8bKvNddvXqVCYVCtmzZMvbo0SM2Z84cpq6uzu7fv1+iWMqal5cX27p1K3vw4AELCwtjPXv2ZNbW1gqvs/Hjx7O6deuyoKAgduvWLdaqVSvWunVrvlyZ5+6LFy+YtrY2mzp1Knv06BFbv349EwqF7PTp03ydPXv2MJFIxP766y/28OFDNnbsWGZoaMji4+OVjqWsHT16lJ04cYI9ffqUPXnyhP34449MXV2dPXjwoMYfm0/dvHmT2djYsGbNmrHvvvtO6biq+zH66aefWJMmTRTOD2/fvqXj81FiYiKrV68e8/HxYTdu3GAvXrxgZ86cYc+ePePr1OT36YSEBIXnTmBgIAPALly4wBij509RalQSJK/CPqj27du32HVPnjzJGjVqxB4+fJjvC+rvv//OjIyMmFgs5pfNnDmTOTg4FLk9gUDA4uLi+GUbNmxg+vr6Ctup6LYUpGfPnmzkyJEljkdZ5dWW3C92xbXv0+1VhcclLCyMAWDBwcEljkcZpW1HvXr12OrVqwstr0qvleLaUpDK+lopri1V6bVS0selvF8rha1bXFskEgmrXbs227JlS6F1SnOMHz16xACwkJAQftmpU6cYx3Hs9evXyjWoBvn0sZPJZMzCwoItX76cX5acnMw0NDTY7t27GWPKHWNl3usGDRrEevXqpRCPh4cHGzdunNKxVISEhAQGgF26dImPQV1dne3fv5+vEx4ezgCw69evM8aUe+7+8MMPrEmTJgr7Gjx4MPPy8uLvt2zZkvn5+fH3c3JymJWVFVuyZInSsVQEIyMjtmXLFjo2eaSlpTF7e3sWGBjIOnTowCdB6BjJkyDNmzcvsIyOj/y9sm3btoWW0/u0ou+++441aNCAyWQyev4Uo0ZdDqOMixcvwszMDA4ODpgwYQLev3+vUB4fH4+xY8fi77//hra2dr71r1+/jvbt20MkEvHLvLy88OTJEyQlJRW4z+vXr6Np06YwNzdXWCc1NRUPHz5UWVsKkpKSAmNj42Lr+fn5wcTEBC1btsRff/0Fxlip2pCrrNrSp08fmJmZoW3btjh69GiR+6wqj8uWLVvQsGFDtGvXrti6Zfm4FNcOQN71tVatWnBxccHy5csVutdVpddKcW0pSGV9rQDKtaUqvFaUbUsuVb1WimvLnTt38Pr1awgEAri4uMDS0hI9evTAgwcP+DqlOcbXr1+HoaEh3N3d+WVdu3aFQCDAjRs3Pqs9NUFkZCTi4uLQtWtXfpmBgQE8PDxw/fp1AModY2Xe665fv66wn9w6uftRJpaKkJKSAgD8e9vt27chkUgU4mrUqBGsra0VjlFxz93i2p+dnY3bt28r1BEIBOjatStfR5lYylNOTg727NmDjIwMeHp60rHJw8/PD7169crXDjpGchEREbCysoKtrS2GDx+O6OhopWOq7sfn6NGjcHd3x1dffQUzMzO4uLhg8+bNfDm9T/8nOzsbO3fuxKhRo8BxHD1/iqGmkr1WUt27d8eAAQNQv359PH/+HD/++CN69OiB69evQygUgjEGHx8fjB8/Hu7u7oiKisq3jbi4ONSvX19hWe4TKy4uDkZGRgWuk/fJ9+k6qmrLp/bt24eQkBBs2rSpyHoLFixA586doa2tjbNnz2LixIlIT0/H5MmTVdYWXV1drFy5Em3atIFAIMDBgwfRr18/HDlyBH369Clwv1XhccnKysKuXbswa9asYvddlo9Lce0AgMmTJ8PV1RXGxsa4du0aZs+ejdjYWKxatQpA1XmtKNOWT1XW14oybakqrxVl2pKXql4ryrTlxYsXAOTXhq9atQo2NjZYuXIlOnbsiKdPn8LY2LhUxzguLg5mZmYKy9TU1PjtkaLlHqOCjntumTLHWJn3usIe37zbKC6W8iaTyTBlyhS0adMGTk5OfFwikQiGhoaFxqXMc7ewOqmpqcjMzERSUhJycnIKrPP48WOlYykP9+/fh6enJ7KysqCrq4vDhw+jcePGCAsLq/HHBgD27NmDO3fuICQkJF8ZPX8ADw8PbNu2DQ4ODoiNjcX8+fPRrl07PHjwgI4PgBcvXmDDhg2YOnUqfvzxR4SEhGDy5MkQiUTw9vam9+k8jhw5guTkZPj4+PDx1PTnT1EoCZLHkCFD+NtNmzZFs2bN0KBBA1y8eBFdunTB+vXrkZaWhtmzZ6swSuWUdVsuXLiAkSNHYvPmzWjSpEmRdefOncvfdnFxQUZGBpYvX17qLxBl0RYTExNMnTqVv9+iRQu8efMGy5cvL/SLXXko68fl8OHDSEtLg7e3d7F1y/JxKa4dABSOd7NmzSASiTBu3DgsWbIEGhoaJd5neSnrtlTm14oybakqrxVl2pKXql4ryrRFJpMBAP7v//4PAwcOBABs3boVderUwf79+zFu3LhS7ZeQsuTn54cHDx7gypUrqg6lUnFwcEBYWBhSUlJw4MABeHt749KlS6oOq1KIiYnBd999h8DAQGhqaqo6nEqpR48e/O1mzZrBw8MD9erVw759+6ClpaXCyCoHmUwGd3d3LF68GID8nPzgwQNs3LhRqfN5TfLnn3+iR48esLKyUnUoVQJdDlMEW1tbmJiY4NmzZwCA8+fP4/r169DQ0ICamhrs7OwAAO7u7vwL0cLCIt9It7n3LSwsCtxPadapiLbkunTpEnr37o3Vq1djxIgRJd63h4cHXr16BbFY/PkNwee15dO4crdRkMr+uADy7v3/+9//8mVflVGWj8un7Shsf1KplO/dUlVeKwX5tC25KvtrpbB9FtSWT+tUttdKYXEW1pbK8loB8rfF0tISANC4cWO+joaGBmxtbflu0aV9vSQkJCgsk0qlSExMLLPHpTrLPUYFHffcMmWOsTKPXWF18pYXF0t5mjRpEo4fP44LFy6gTp06/HILCwtkZ2cjOTm50Lg+p/36+vrQ0tKCiYkJhEJhsceouFjKg0gkgp2dHdzc3LBkyRI0b94ca9eupWMDeRf4hIQEuLq6Qk1NDWpqarh06RLWrVsHNTU1mJub1/hj9ClDQ0M0bNgQz549o+cQ5OfHvOdGAHB0dFQ4N+bGUVhcNeF9+uXLlzh37hzGjBnDL6PnT9EoCVKEV69e4f379/wH1HXr1uHu3bsICwtDWFgYPy3S3r17sWjRIgCAp6cngoODIZFI+O0EBgbCwcGhwO79uevcv39f4QUaGBgIfX39fC/8imwLIL+OvVevXvj111/h6+tbqn2HhYXByMiozH79L21bCoordxsFqcyPCyC/9vDChQsYPXp0qfZdlo/Lp+0obH8CgYDvklhVXivKtAWoGq+Vwvb5aVsKqlPZXiuFxVlQWyrTawXI3xY3NzdoaGgoTD0qkUgQFRWFevXqASjdMfb09ERycjJu377NLzt//jxkMhk8PDzKpC3VWf369WFhYYGgoCB+WWpqKm7cuAFPT08Ayh1jZd7rPD09FfaTWyd3P8rEUh4YY5g0aRIOHz6M8+fP5+su7ubmBnV1dYW4njx5gujoaIVjVNxzt7j2i0QiuLm5KdSRyWQICgri6ygTS0WQyWQQi8V0bAB06dIF9+/f5z/ThIWFwd3dHcOHD+dv1/Rj9Kn09HQ8f/4clpaW9BwC0KZNm3zTcj99+pQ/N9L7tNzWrVthZmaGXr168cvo+VMMlQzHqiJpaWksNDSUhYaGMgBs1apVLDQ0lL18+ZKlpaWx6dOns+vXr7PIyEh27tw55urqyuzt7VlWVlaB2ytoFoXk5GRmbm7OvvnmG/bgwQO2Z88epq2trTDF0qFDhxRGG86dnqhbt24sLCyMnT59mpmamhY59WFFtOX8+fNMW1ubzZ49W2H6pffv3xfalqNHj7LNmzez+/fvs4iICPb7778zbW1tNm/ePJW2Zdu2bSwgIICFh4ez8PBwtmjRIiYQCNhff/1V5R6XXHPmzGFWVlZMKpXmK/vcx+Vz23Ht2jW2evVqFhYWxp4/f8527tzJTE1N2YgRI/h9VJXXijJtqSqvFWXaUlVeK8q0JVd5vlbKoi2MyUd0r127Njtz5gx7/PgxGz16NDMzM+On0lXmGN+4cYM5ODiwV69e8cu6d+/OXFxc2I0bN9iVK1eYvb09TZGbR1GPHWPy6Q4NDQ3ZP//8w+7du8f69u1b4NSLRR1jZd7rrl69ytTU1NiKFStYeHg4++mnnwqcerG4WMrahAkTmIGBAbt48aLCe9uHDx/4OuPHj2fW1tbs/Pnz7NatW8zT05N5enry5co8d3OnYJwxYwYLDw9n/v7+BU7BqKGhwbZt28YePXrEfH19maGhocKsBsXFUtZmzZrFLl26xCIjI9m9e/fYrFmzGMdx7OzZszX+2BQm7+wwysRV3Y/RtGnT2MWLF1lkZCS7evUq69q1KzMxMWEJCQl0fJh8amU1NTW2aNEiFhERwXbt2sW0tbXZzp07+To1/X06JyeHWVtbs5kzZ+Yrq+nPn6LUqCTIhQsXGIB8f97e3uzDhw+sW7duzNTUlKmrq7N69eqxsWPHKjx4nyrsC+rdu3dZ27ZtmYaGBqtduzZbunSpQvnWrVvZp/mnqKgo1qNHD6alpcVMTEzYtGnTmEQiUWlbvL29C9xHhw4dCm3LqVOnmLOzM9PV1WU6OjqsefPmbOPGjSwnJ0elbdm2bRtzdHRk2traTF9fn7Vs2VJhmqaC2sJY5XxcGJO/4dWpU4f9+OOPBa73uY/L57bj9u3bzMPDgxkYGDBNTU3m6OjIFi9enC/ZUxVeK8q0paq8VpRpS1V5rSj7HCvv10pZtIUxxrKzs9m0adOYmZkZ09PTY127dmUPHjwo0THOjSMyMpJf9v79ezZ06FCmq6vL9PX12ciRI1laWlqhbalpinrsGJNPeTh37lxmbm7ONDQ0WJcuXdiTJ08UtqHMMS7uvY4xxvbt28caNmzIRCIRa9KkCTtx4oRCuTKxlLWCjg0AtnXrVr5OZmYmmzhxIjMyMmLa2tqsf//+LDY2VmE7yrw/XLhwgTk7OzORSMRsbW0V9pFr/fr1zNramolEItayZUv277//KpQrE0tZGjVqFKtXrx4TiUTM1NSUdenShU+AKBtPdT02hfk0CVLTj9HgwYOZpaUlE4lErHbt2mzw4MHs2bNnJYqpOh8fxhg7duwYc3JyYhoaGqxRo0bsjz/+UCiv6e/TZ86cYQAK3A89fwrHMfaZ8/4RQgghhBBCCCGEVAE0JgghhBBCCCGEEEJqBEqCEEIIIYQQQgghpEagJAghhBBCCCGEEEJqBEqCEEIIIYQQQgghpEagJAghhBBCCCGEEEJqBEqCEEIIIYQQQgghpEagJAghhBBCCCGEEEJqBEqCEEIIIYQQQgghpEagJAghpFAcx+HIkSOqDgMA8PPPP8PZ2blU637zzTdYvHhx2QZUgFmzZuHbb78t9/0QQgghqtKxY0dMmTJF1WHwGGPw9fWFsbExOI5DWFiYqkOqdEryee5zPm8RUlVQEoQQUumUZfLl7t27OHnyJCZPnlwm2yvK9OnTsX37drx48aLc90UIIYQQ4PTp09i2bRuOHz+O2NhYODk5qToklSksgREbG4sePXpUfECEVFKUBCGEVGvr16/HV199BV1d3XLfl4mJCby8vLBhw4Zy3xchhBBSXeTk5EAmk5Vq3efPn8PS0hKtW7eGhYUF1NTUyji6yo8xBqlUWmi5hYUFNDQ0KjAiQio3SoIQUgkcP34choaGyMnJAQCEhYWB4zjMmjWLrzNmzBh8/fXXAID3799j6NChqF27NrS1tdG0aVPs3r2br/vHH3/Aysoq3weKvn37YtSoUfz9f/75B66urtDU1IStrS3mz59f5Ek0JiYGgwYNgqGhIYyNjdG3b19ERUXx5T4+PujXrx9WrFgBS0tL1KpVC35+fpBIJHyd2NhY9OrVC1paWqhfvz4CAgJgY2ODNWvWAABsbGwAAP379wfHcfz9XH///TdsbGxgYGCAIUOGIC0trdB4c3JycODAAfTu3VthuY2NDRYvXoxRo0ZBT08P1tbW+OOPP/jyqKgocByHffv2oV27dtDS0kKLFi3w9OlThISEwN3dHbq6uujRowfevn2rsO3evXtjz549hcZECCGEfK6OHTti8uTJ+OGHH2BsbAwLCwv8/PPPfHnueSzvpSHJycngOA4XL14EAFy8eBEcx+HMmTNwcXGBlpYWOnfujISEBJw6dQqOjo7Q19fHsGHD8OHDB4X9S6VSTJo0CQYGBjAxMcHcuXPBGOPLxWIxpk+fjtq1a0NHRwceHh78fgFg27ZtMDQ0xNGjR9G4cWNoaGggOjq6wLZeunQJLVu2hIaGBiwtLTFr1iz+s4qPjw++/fZbREdHF/iZ4dP9nTlzBo6OjtDV1UX37t0RGxvL1wkJCcEXX3wBExMTGBgYoEOHDrhz547CdjiOw5YtW9C/f39oa2vD3t4eR48eVTre3Mdu0qRJRR6/v//+G+7u7tDT04OFhQWGDRuGhIQEvjz3sTt16hTc3NygoaGBnTt3Yv78+bh79y44jgPHcdi2bRsfd94etq9evcLQoUNhbGwMHR0duLu748aNGwUeOwDYsmULHB0doampiUaNGuH333/ny7KzszFp0iRYWlpCU1MT9erVw5IlSwrdFiGVAiOEqFxycjITCAQsJCSEMcbYmjVrmImJCfPw8ODr2NnZsc2bNzPGGHv16hVbvnw5Cw0NZc+fP2fr1q1jQqGQ3bhxgzHGWGJiIhOJROzcuXP8+u/fv1dYFhwczPT19dm2bdvY8+fP2dmzZ5mNjQ37+eef+XUAsMOHDzPGGMvOzmaOjo5s1KhR7N69e+zRo0ds2LBhzMHBgYnFYsYYY97e3kxfX5+NHz+ehYeHs2PHjjFtbW32xx9/8Nvs2rUrc3Z2Zv/++y+7ffs269ChA9PS0mKrV69mjDGWkJDAALCtW7ey2NhYlpCQwBhj7KeffmK6urpswIAB7P79+yw4OJhZWFiwH3/8sdDjeufOHQaAxcXFKSyvV68eMzY2Zv7+/iwiIoItWbKECQQC9vjxY8YYY5GRkQwAa9SoETt9+jR79OgRa9WqFXNzc2MdO3ZkV65cYXfu3GF2dnZs/PjxCtsODw9nAFhkZGQRjzghhBBSeh06dGD6+vrs559/Zk+fPmXbt29nHMexs2fPMsb+O4+Fhoby6yQlJTEA7MKFC4wxxi5cuMAAsFatWimc1zp06MC6devG7ty5w4KDg1mtWrXY0qVLFfatq6vLvvvuO/b48WO2c+fOfOf6MWPGsNatW7Pg4GD27Nkztnz5cqahocGePn3KGGNs69atTF1dnbVu3ZpdvXqVPX78mGVkZORr56tXr5i2tjabOHEiCw8PZ4cPH2YmJibsp59+YozJPz8tWLCA1alTR+Ezw6dy99e1a1cWEhLCbt++zRwdHdmwYcP4OkFBQezvv/9m4eHh7NGjR2z06KG3Ja0AAAvwSURBVNHM3Nycpaam8nUAsDp16rCAgAAWERHBJk+ezHR1ddn79++VilfZ4/fnn3+ykydPsufPn7Pr168zT09P1qNHD74897Fr1qwZO3v2LHv27Bl79eoVmzZtGmvSpAmLjY1lsbGx7MOHD3zcuZ/n0tLSmK2tLWvXrh27fPkyi4iIYHv37mXXrl1jjMk/bzVv3pzf186dO5mlpSU7ePAge/HiBTt48CAzNjZm27ZtY4wxtnz5cla3bl0WHBzMoqKi2OXLl1lAQECBjwMhlQUlQQipJFxdXdny5csZY4z169ePLVq0iIlEIpaWlsZevXrFAPAfHgrSq1cvNm3aNP5+37592ahRo/j7mzZtYlZWViwnJ4cxxliXLl3Y4sWLFbbx999/M0tLS/5+3pPm33//zRwcHJhMJuPLxWIx09LSYmfOnGGMyZMg9erVY1KplK/z1VdfscGDBzPG/ksQ5CZ7GGMsIiKCAeCTIJ/uN9dPP/3EtLW1FT6MzJgxQyFR9KnDhw8zoVCoEDNj8iTI119/zd+XyWTMzMyMbdiwgTH234fHLVu28HV2797NALCgoCB+2ZIlS5iDg4PCtlNSUhgAdvHixULjIoQQQj5Hhw4dWNu2bRWWtWjRgs2cOZMxVrIkSN4fTJYsWcIAsOfPn/PLxo0bx7y8vBT27ejoqHBunTlzJnN0dGSMMfby5UsmFArZ69evFeLr0qULmz17NmNMnpQAwMLCwops548//pjvs4e/vz/T1dXlP8+sXr2a1atXr8jt5O7v2bNnCtsxNzcvdJ2cnBymp6fHjh07xi8DwObMmcPfT09PZwDYqVOnlI63uONXkJCQEAaApaWlMcb+e+yOHDmiUO/TBEbeuHM/V23atInp6enxiZtPfbqNBg0a5Etq/PLLL8zT05Mxxti3337LOnfunO+zFiGVGV0OQ0gl0aFDB1y8eBGMMVy+fBkDBgyAo6Mjrly5gkuXLsHKygr29vYA5Jd5/PLLL2jatCmMjY2hq6uLM2fOKHQlHT58OA4ePAixWAwA2LVrF4YMGQKBQP6yv3v3LhYsWABdXV3+b+zYsYiNjc3X7TW3/rNnz6Cnp8fXNzY2RlZWFp4/f87Xa9KkCYRCIX/f0tKS78L55MkTqKmpwdXVlS+3s7ODkZGRUsfIxsYGenp6BW67IJmZmdDQ0ADHcfnKmjVrxt/mOA4WFhb5tpW3jrm5OQCgadOmCss+XUdLSwsACjyGhBBCSFnJe44Cij8nKrMdc3NzaGtrw9bWVmHZp9tt1aqVwrnV09MTERERyMnJwf3795GTk4OGDRsqfMa4dOmSwucFkUiUrw2fCg8Ph6enp8K+2rRpg/T0dLx69apE7dTW1kaDBg34+58er/j4eIwdOxb29vYwMDCAvr4+0tPT812mkzdmHR0d6Ovr89tRNt6ijh8A3L59G71794a1tTX09PTQoUMHAMgXi7u7e4mOASC/5NrFxQXGxsbF1s3IyMDz588xevRohcdy4cKF/GPp4+ODsLAwODg4YPLkyTh79myJYyKkotW8kYMIqaQ6duyIv/76C3fv3oW6ujoaNWqEjh074uLFi0hKSuJPgACwfPlyrF27FmvWrEHTpk2ho6ODKVOmIDs7m6/Tu3dvMMZw4sQJtGjRApcvX8bq1av58vT0dMyfPx8DBgzIF4umpma+Zenp6XBzc8OuXbvylZmamvK31dXVFco4jiv1YGefKum2TUxM8OHDB2RnZ0MkEpV4W3nr5H5Y+XTZp+skJiYCUDwmhBBCSFkr6jyW+4MHyzPORN7xuQrbDsdxn30eT09Ph1AoxO3btxV+FAGgMEi5lpZWgT9SlJeC2pX3+Hh7e+P9+/dYu3Yt6tWrBw0NDXh6eip8tipsO2X1OQeQJx68vLzg5eWFXbt2wdTUFNHR0fDy8soXi46OTom3n/tjjTLS09MBAJs3b4aHh4dCWe5j6+rqisjISJw6dQrnzp3DoEGD0LVrVxw4cKDEsRFSUSgJQkgl0a5dO6SlpWH16tV8wqNjx45YunQpkpKSMG3aNL7u1atX0bdvX36gVJlMhqdPn6Jx48Z8HU1NTQwYMAC7du3Cs2fP4ODgoNADw9XVFU+ePIGdnZ1S8bm6umLv3r0wMzODvr5+qdro4OAAqVSK0NBQuLm5AQCePXuGpKQkhXrq6ur8ryGfI3eauEePHlXYnPcPHjyAuro6mjRpUiH7I4QQQj6Vm4iPjY2Fi4sLACgMkvq5Ph1E899//4W9vT2EQiFcXFyQk5ODhIQEtGvX7rP24+joiIMHD4IxxidMrl69Cj09PdSpU+eztv2pq1ev4vfff0fPnj0ByAeDf/fuXbnEW9Txe/z4Md6/f4+lS5eibt26AIBbt24ptX+RSFTs56dmzZphy5YtSExMLLY3iLm5OaysrPDixQsMHz680Hr6+voYPHgwBg8ejC+//BLdu3dXavuEqApdDkNIJWFkZIRmzZph165d6NixIwCgffv2uHPnDp4+farQE8Te3h6BgYG4du0awsPDMW7cOMTHx+fb5vDhw3HixAn89ddf+U5e8+bNw44dOzB//nw8fPgQ4eHh2LNnD+bMmVNgfMOHD4eJiQn69u2Ly5cvIzIyEhcvXsTkyZOV7pLaqFEjdO3aFb6+vrh58yZCQ0Ph6+ub79cgGxsbBAUFIS4uLl+CpCRMTU3h6uqKK1eulHobJXX58mV+RhlCCCFEFbS0tNCqVSssXboU4eHhuHTpUqHn99KIjo7G1KlT8eTJE+zevRvr16/Hd999BwBo2LAhhg8fjhEjRuDQoUOIjIzEzZs3sWTJEpw4caJE+5k4cSJiYmLw7bff4vHjx/jnn3/w008/YerUqXxvl7Jib2+Pv//+G+Hh4bhx4waGDx9e4nO5svEWdfysra0hEomwfv16vHjxAkePHsUvv/yi1P5tbGwQGRmJsLAwvHv3jr8kOq+hQ4fCwsIC/fr1w9WrV/HixQscPHgQ169fL3Cb8+fPx5IlS7Bu3To8ffoU9+/fx9atW7Fq1SoAwKpVq7B79248fvwYT58+xf79+2FhYQFDQ8MSHTtCKhIlQQipRDp06ICcnBw+CWJsbIzGjRvDwsICDg4OfL05c+bA1dUVXl5e6NixI38y+1Tnzp1hbGyMJ0+eYNiwYQplXl5eOH78OM6ePYsWLVqgVatWWL16NerVq1dgbNra2ggODoa1tTU/Xsno0aORlZVVop4hO3bsgLm5Odq3b4/+/ftj7Nix0NPTU7gEZ+XKlQgMDETdunX5X7BKa8yYMQVewlNe9uzZg7Fjx1bY/gghhJCC/PXXX5BKpXBzc8OUKVOwcOHCMtv2iBEjkJmZiZYtW8LPzw/fffcdfH19+fKtW7dixIgRmDZtGhwcHNCvXz+EhITA2tq6RPupXbs2Tp48iZs3b6J58+YYP348Ro8eXaYJnVx//vknkpKS4Orqim+++QaTJ0+GmZlZucRb1PEzNTXFtm3bsH//fjRu3BhLly7FihUrlNr/wIED0b17d3Tq1AmmpqbYvXt3vjoikQhnz56FmZkZevbsiaZNm2Lp0qX5Ll3KNWbMGGzZsgVbt25F06ZN0aFDB2zbtg3169cHAOjp6WHZsmVwd3dHixYtEBUVhZMnT5Z5koqQssSxvBfDEUJIBXv16hXq1q2Lc+fOoUuXLmW+/czMTDg4OGDv3r3w9PQs8+3nderUKUybNg337t2DmhpdbUgIIYQQRR07doSzszPWrFmj6lAIqbHoUzohpEKdP38e6enpaNq0KWJjY/HDDz/AxsYG7du3L5f9aWlpYceOHSW+rrc0MjIysHXrVkqAEEIIIYQQUknRJ3VCSIWSSCT48ccf8eLFC+jp6aF169bYtWtXvtHWy1Lu5UXl7csvv6yQ/RBCCCGEEEJKhy6HIYQQQgghhBBCSI1AI9YQQgghhBBCCCGkRqAkCCGEEEIIIYQQQmoESoIQQgghhBBCCCGkRqAkCCGEEEIIIYQQQmoESoIQQgghhBBCCCGkRqAkCCGEEEIIIYQQQmoESoIQQgghhBBCCCGkRqAkCCGEEEIIIYQQQmqE/wcP89uST0JcGAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1100x420 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " array (um)  particles   Q (LSA)\n",
      "   250 x 250      117000       394\n",
      "   300 x 300      168600       582\n",
      "   350 x 350      229600       797\n",
      "   400 x 400      300000      1108\n",
      "   450 x 450      379800      1553\n",
      "   500 x 500      468000      2210\n",
      "   550 x 550      566500      3301\n",
      "   600 x 600      674400      5339\n",
      "   625 x 625      731250      7126\n"
     ]
    }
   ],
   "source": [
    "# Array sizes of Fig. 3 (square arrays, L x L um^2), Fig. 1d particle and lattice\n",
    "SIZES_UM = [300, 400, 500, 600]\n",
    "SIZES_CURVE = [250, 300, 350, 400, 450, 500, 550, 600, 625]\n",
    "lam3 = np.linspace(1538, 1566, 1401)  # 0.02 nm\n",
    "\n",
    "\n",
    "def n_particles(L):\n",
    "    return round(L * 1e3 / PX_L), round(L * 1e3 / PY_L)\n",
    "\n",
    "\n",
    "rows3 = []\n",
    "for L in SIZES_CURVE:\n",
    "    nx, ny = n_particles(L)\n",
    "    S3 = cached_sum(\"fig3\", lam3, PX_L, PY_L, nx, ny, N_BG)\n",
    "    T3 = transmission(lam3, alpha_particle(lam3, **LSA1), S3, PX_L, PY_L)\n",
    "    f = fit_lorentz(lam3, T3)\n",
    "    rows3.append((L, nx * ny, f[\"Q\"] if f else np.nan, T3))\n",
    "\n",
    "# approximate measured values, read by eye from Fig. 3b (coherent: triangles, incoherent: squares)\n",
    "meas_N = [600 * 284, 800 * 378, 1000 * 472, 1200 * 567]\n",
    "meas_coh = [600, 1100, 1450, 2340]\n",
    "meas_inc_N = meas_N[1:]  # no incoherent point for the 300 x 300 um^2 array\n",
    "meas_inc = [500, 700, 1200]\n",
    "\n",
    "fig, ax = plt.subplots(1, 2, figsize=(11, 4.2), gridspec_kw={\"width_ratios\": [1, 1.2]})\n",
    "off = 0.0\n",
    "for L, nx_ny, Q, T3 in rows3:\n",
    "    if L in SIZES_UM:\n",
    "        ax[0].plot(lam3, T3 + off, lw=1.1, label=f\"{L} x {L} um$^2$, Q = {Q:.0f}\")\n",
    "        off -= 0.4\n",
    "ax[0].set(\n",
    "    xlabel=\"wavelength (nm)\",\n",
    "    ylabel=\"transmittance (offset)\",\n",
    "    title=\"Fig. 3a, LSA column\",\n",
    "    xlim=(1540, 1560),\n",
    ")\n",
    "ax[0].legend(fontsize=8, frameon=False, loc=\"lower left\")\n",
    "ax[1].plot([x[1] for x in rows3], [x[2] for x in rows3], \"k-\", label=\"LSA\")\n",
    "ax[1].plot(\n",
    "    meas_N,\n",
    "    meas_coh,\n",
    "    \"^\",\n",
    "    mfc=\"none\",\n",
    "    ms=9,\n",
    "    mew=1.5,\n",
    "    label=\"measured, coherent (Fig. 3b, approx.)\",\n",
    ")\n",
    "ax[1].plot(\n",
    "    meas_inc_N,\n",
    "    meas_inc,\n",
    "    \"s\",\n",
    "    mfc=\"none\",\n",
    "    ms=9,\n",
    "    mew=1.5,\n",
    "    label=\"measured, incoherent (Fig. 3b, approx.)\",\n",
    ")\n",
    "ax[1].set(\n",
    "    xlabel=\"number of nanoparticles\",\n",
    "    ylabel=\"quality factor Q\",\n",
    "    title=\"Fig. 3b\",\n",
    "    ylim=(0, 8000),\n",
    ")\n",
    "ax[1].legend(fontsize=8, frameon=False)\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "print(f\"{'array (um)':>11s}{'particles':>11s}{'Q (LSA)':>10s}\")\n",
    "for L, nx_ny, Q, _ in rows3:\n",
    "    print(f\"{L:>6d} x {L:<4d}{nx_ny:11d}{Q:10.0f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "957414f1",
   "metadata": {},
   "source": [
    "## References\n",
    "1. M. S. Bin-Alam *et al.*, *Nat. Commun.* **12**, 974 (2021).\n",
    "2. S. Zou, N. Janel, G. C. Schatz, *J. Chem. Phys.* **120**, 10871 (2004): coupled-dipole lattice sums.\n",
    "3. V. G. Kravets *et al.*, *Chem. Rev.* **118**, 5912 (2018): review of plasmonic SLRs.\n",
    "4. P. B. Johnson, R. W. Christy, *Phys. Rev. B* **6**, 4370 (1972)."
   ]
  }
 ],
 "metadata": {
  "applications": [
   "Nanophotonics",
   "Metamaterials, gratings, and other periodic structures"
  ],
  "description": "This notebook demonstrates how to reproduce the ultra-high-Q surface lattice resonance of a gold nanoblock metasurface (Bin-Alam et al., Nat. Commun. 2021) by simulating a periodic unit cell in Tidy3D, extracting the quality factor from both a Lorentzian fit and harmonic inversion of the ring-down, and comparing the result with a lattice sum model of the finite 600µm × 600 µm array.",
  "feature_image": "./img/gold_block_array.png",
  "features": [
   "Mesh override",
   "Resonance finder",
   "Parameter sweep"
  ],
  "kernelspec": {
   "display_name": "flex",
   "language": "python",
   "name": "python3"
  },
  "keywords": "plasmonics, metasurface, surface lattice resonance, high-Q resonance, gold nanoparticle array, Rayleigh anomaly, quality factor, lattice sum approach, coupled dipole approximation, Tidy3D, FDTD",
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.14.7"
  },
  "title": "How to Simulate Ultra-High-Q Surface Lattice Resonances in a Gold Plasmonic Metasurface in Tidy3D | Flexcompute"
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
