{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "5e63ccc2",
   "metadata": {},
   "source": [
    "# Compact terahertz metasurface resonator for light-matter coupling\n",
    "\n",
    "<b>Joshua Mornhinweg, Harvard John A. Paulson School of Engineering and Applied Sciences</b>\n",
    "\n",
    "Cavity quantum electrodynamics enters the **deep-strong coupling** regime when the vacuum Rabi\n",
    "frequency $\\Omega_\\mathrm{R}$ of a light-matter system becomes comparable to, or larger than, the\n",
    "bare transition frequency $\\omega_\\mathrm{c}$ of the matter excitation. Reaching\n",
    "$\\Omega_\\mathrm{R}/\\omega_\\mathrm{c} \\gtrsim 1$ requires squeezing the electromagnetic vacuum field\n",
    "into a mode volume far below $(\\lambda/2)^3$, because the single-photon field amplitude scales as\n",
    "$E_\\mathrm{vac} \\propto 1/\\sqrt{V}$.\n",
    "\n",
    "In the terahertz (THz) range this is often done with a planar metallic **metasurface** evaporated directly\n",
    "onto a substrate. The metasurface acts as an array of sub-wavelength LC\n",
    "resonators that concentrate the THz vacuum field into the near-field volume just below the metal,\n",
    "where it overlaps with our matter system of choice.\n",
    "\n",
    "This notebook reproduces the bare THz resonator of\n",
    "\n",
    "> J. Mornhinweg, L. K. Diebel, M. Halbhuber, M. Prager, J. Riepl, T. Inzenhofer, D. Bougeard,\n",
    "> R. Huber, and C. Lange,\n",
    "> [*Mode-multiplexing deep-strong light-matter coupling*](https://doi.org/10.1038/s41467-024-46038-9),\n",
    "> **Nature Communications 15, 1847 (2024)**.\n",
    "\n",
    "The *bare* resonator that we can compute here supports several well-separated modes - a fundamental\n",
    "LC resonance at $\\nu_1 \\approx 0.5$ THz and a higher-order mode at $\\nu_2 \\approx 2$ THz - which couple\n",
    "simultaneously to a comb of magnetoplasmon modes.\n",
    "In particular, this resonator geometry features an extremely compact unit cell. Rather than isolating individual resonators, the design uses an *inverted* (complementary, Babinet-type) layout in which the metal is continuous and the\n",
    "*aperture* is patterned. Regions of low current density are removed and adjacent current paths of\n",
    "opposite phase are merged, shrinking the unit cell from a conventional 60 x 60 μm to\n",
    "only 30 x 32.5 μm.\n",
    "\n",
    "<img src=\"img/THzMetasurface.png\" width=\"600\">\n",
    "\n",
    "<b>**Note: Resonances will differ slightly between versions. The presented notebook was run on Tidy3D 2.9.3</b>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6e6b6d8f",
   "metadata": {},
   "source": [
    "## What this notebook computes\n",
    "\n",
    "We model a single unit cell of the metasurface with periodic boundaries, illuminated by a normally\n",
    "incident, broadband THz plane wave, and extract\n",
    "\n",
    "* the **transmittance, reflectance and absorptance** spectra from 0.1 to 6 THz, from which the\n",
    "  resonator mode frequencies are read off, and\n",
    "* the **electric near-field distributions** of the first two modes just below the metal - the\n",
    "  quantity that determines the coupling strength to the matter system.\n",
    "\n",
    "**Model simplifications.** As in the near-field analysis of the paper, we simulate the *bare*\n",
    "resonator on an undoped substrate: there are no quantum wells, no two-dimensional electron gas and\n",
    "no external magnetic field, so no polariton splitting appears here. GaAs is treated as a lossless,\n",
    "dispersionless dielectric with $\\varepsilon = 12.9$, which is accurate across the THz band. The gold\n",
    "film is 200 nm thick and is described by a surface-impedance model at the literature\n",
    "conductivity of gold. Finally, the array is taken to be infinite and the illumination to be a plane wave, whereas the\n",
    "experiment uses a finite array and a focused THz beam."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f32a5a8f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "import tidy3d as td\n",
    "import tidy3d.web as web"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a3703c5d",
   "metadata": {},
   "source": [
    "## Simulation setup\n",
    "\n",
    "### Frequency range\n",
    "\n",
    "The resonator modes of interest lie between roughly 0.5 and 2 THz, but the metasurface is designed\n",
    "to couple to a magnetoplasmon comb spanning several octaves, so we record the spectra over the full\n",
    "0.1-6 THz window. All lengths in Tidy3D are in micrometers and all frequencies in Hz."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2072e52c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "central frequency  : 3.05 THz  (lambda0 = 98.3 um)\n",
      "longest wavelength : 2998 um in vacuum\n"
     ]
    }
   ],
   "source": [
    "THz = 1e12  # conversion factor from THz to Hz\n",
    "\n",
    "f_min = 0.1 * THz  # lower edge of the band of interest\n",
    "f_max = 6.0 * THz  # upper edge of the band of interest\n",
    "\n",
    "freqs = np.linspace(f_min, f_max, 300)  # frequencies recorded by the monitors\n",
    "freq0 = 0.5 * (f_min + f_max)  # central frequency of the source pulse\n",
    "fwidth = freq0 / 2  # spectral width of the source pulse\n",
    "\n",
    "lda0 = td.C_0 / freq0  # central wavelength in vacuum (um)\n",
    "lda_max = td.C_0 / f_min  # longest wavelength in vacuum (um)\n",
    "\n",
    "print(f\"central frequency  : {freq0 / THz:.2f} THz  (lambda0 = {lda0:.1f} um)\")\n",
    "print(f\"longest wavelength : {lda_max:.0f} um in vacuum\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a9c16e2d",
   "metadata": {},
   "source": [
    "### Materials\n",
    "\n",
    "Two materials are involved. The substrate is semi-insulating **GaAs**, which is essentially\n",
    "transparent and dispersion-free below the reststrahlen band, so a constant relative permittivity\n",
    "$\\varepsilon = 12.9$ is an excellent approximation throughout the THz range.\n",
    "\n",
    "The metasurface is **gold**, and here the choice of model matters more than it might seem. A Drude\n",
    "metal at THz frequencies has an enormous permittivity - $|\\varepsilon| \\sim 10^6$, i.e. a refractive\n",
    "index above 2000 - so the wavelength *inside* the gold is only a fraction of a micron. An automatic\n",
    "mesher will faithfully try to resolve that, and the grid explodes: the volumetric Drude version of\n",
    "this simulation needs a near-uniform 0.1 um grid and roughly $7 \\times 10^6$ cells, almost all of\n",
    "them spent inside a metal whose interior carries no useful physics.\n",
    "\n",
    "The physics of such a large $|\\varepsilon|$ is simply that the field penetrates one skin\n",
    "depth and stops. That is what a **surface impedance boundary condition** (SIBC) encodes, and\n",
    "is implemented in [`LossyMetalMedium`](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.LossyMetalMedium.html): the metal volume is replaced by a surface impedance $Z_s = \\sqrt{i \\mu_0 \\omega / \\sigma}$\n",
    "applied at its boundary, so the mesh never has to enter the gold.\n",
    "\n",
    "Three things to note about the arguments:\n",
    "\n",
    "* `conductivity` is in **S/um**, not S/m. Literature gold has $\\sigma = 4.1 \\times 10^7$ S/m, hence\n",
    "  `41.0`.\n",
    "* `frequency_range` is **required** - the impedance is fitted with a pole-residue model over that\n",
    "  band, and construction raises a validation error without it.\n",
    "* `thickness` switches on a one-dimensional transmission-line correction for a film that is not many\n",
    "  skin depths thick. At 200 nm and $\\delta \\approx 100$ nm it is a small effect (it changes $Z_s$ by\n",
    "  about 3% at 0.57 THz and under 1% at 2.15 THz), but it is the physically correct model for a film\n",
    "  this thin.\n",
    "\n",
    "SIBC is accurate when the skin depth is much smaller than the feature size. Here $\\delta \\approx 100$\n",
    "nm against 2.5 um slots - a factor of 25 - so we are comfortably inside its range of validity."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "86e63c07",
   "metadata": {},
   "outputs": [],
   "source": [
    "eps_GaAs = 12.9  # relative permittivity of GaAs in the THz range\n",
    "GaAs = td.Medium(permittivity=eps_GaAs)\n",
    "\n",
    "# --- layer stack -----------------------------------------------------------\n",
    "t_metal = 0.2  # gold film thickness (um)\n",
    "t_GaAs = 5000.0  # GaAs substrate thickness (um) - extends through the PML\n",
    "\n",
    "# --- gold, as a surface-impedance conductor --------------------------------\n",
    "sigma_Au = 41.0  # S/um  (= 4.1e7 S/m, the literature DC conductivity of gold)\n",
    "\n",
    "gold = td.LossyMetalMedium(\n",
    "    conductivity=sigma_Au,\n",
    "    frequency_range=(f_min, f_max),  # required: the impedance model is fitted over this band\n",
    "    thickness=t_metal,  # thin-film transmission-line correction for the 200 nm layer\n",
    ")\n",
    "\n",
    "vacuum = td.Medium()  # background medium above the metasurface"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7ab4e048",
   "metadata": {},
   "source": [
    "### Unit-cell geometry\n",
    "\n",
    "The metasurface is an *inverted* structure: a continuous gold film perforated by a\n",
    "butterfly-shaped aperture. It is easiest to construct the **aperture** first and then subtract it\n",
    "from an unbroken film, which is exactly how the design is conceived - the complementary counterpart\n",
    "of four LC resonators sharing their inductive loops.\n",
    "\n",
    "The aperture has the full symmetry of the unit cell about both mirror planes, which can later also be used to reduce the simulation load. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "52058f15",
   "metadata": {},
   "outputs": [],
   "source": [
    "# --- unit cell -------------------------------------------------------------\n",
    "period_x = 32.5  # unit-cell period along x (um)\n",
    "period_y = 30.0  # unit-cell period along y (um)\n",
    "\n",
    "# --- aperture pattern ------------------------------------------------------\n",
    "ap_x = 30.0  # total extent of the aperture pattern along x (um)\n",
    "ap_y = 30.0  # total extent of the aperture pattern along y (um)\n",
    "w_gap = 2.5  # width of the central capacitive gap (um)\n",
    "w_bar = 2.5  # width of the slots forming the inductive loop (um)\n",
    "l_cap = 9.0  # length of the capacitor arm (um)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "87286280",
   "metadata": {},
   "outputs": [],
   "source": [
    "def slot(x0, x1, y0, y1):\n",
    "    \"\"\"Axis-aligned box spanning [x0, x1] x [y0, y1], extruded over the metal thickness.\"\"\"\n",
    "    return td.Box.from_bounds(rmin=(x0, y0, 0), rmax=(x1, y1, t_metal))\n",
    "\n",
    "\n",
    "# quarter of the aperture, in the first quadrant\n",
    "outer = slot(w_gap / 2, ap_x / 2, 0, ap_y / 2)\n",
    "inner = slot(0, ap_x / 2 - w_bar, 0, ap_y / 2 - w_bar)\n",
    "arm = slot(w_gap / 2, w_gap / 2 + w_bar, ap_y / 2 - l_cap, ap_y / 2)\n",
    "\n",
    "quarter = (outer - inner) + arm\n",
    "\n",
    "# mirror the quarter into the remaining three quadrants\n",
    "mirror_x = td.Transformed(geometry=quarter, transform=td.Transformed.scaling(x=-1))\n",
    "mirror_y = td.Transformed(geometry=quarter, transform=td.Transformed.scaling(y=-1))\n",
    "mirror_xy = td.Transformed(geometry=mirror_x, transform=td.Transformed.scaling(y=-1))\n",
    "\n",
    "# horizontal slot bridging the two halves through the centre of the cell\n",
    "bridge = slot(-(ap_x / 2 - w_bar), ap_x / 2 - w_bar, -w_bar / 2, w_bar / 2)\n",
    "\n",
    "aperture = quarter + mirror_x + mirror_y + mirror_xy + bridge\n",
    "\n",
    "# the metasurface is the complement of the aperture in a continuous gold film\n",
    "metal_film = td.Box(center=(0, 0, t_metal / 2), size=(td.inf, td.inf, t_metal))\n",
    "\n",
    "metasurface = td.Structure(\n",
    "    geometry=metal_film - aperture,\n",
    "    medium=gold,\n",
    "    name=\"metasurface\",\n",
    ")\n",
    "\n",
    "substrate = td.Structure(\n",
    "    geometry=td.Box(center=(0, 0, -t_GaAs / 2), size=(td.inf, td.inf, t_GaAs)),\n",
    "    medium=GaAs,\n",
    "    name=\"substrate\",\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "5569b2e7",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1400x460 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# tile the aperture over neighbouring cells, for visualization only\n",
    "tiles = [\n",
    "    td.Transformed(\n",
    "        geometry=aperture,\n",
    "        transform=td.Transformed.translation(x=i * period_x, y=j * period_y, z=0),\n",
    "    )\n",
    "    for i in (-1, 0, 1)\n",
    "    for j in (-1, 0, 1)\n",
    "]\n",
    "gold_tiled = metal_film - td.GeometryGroup(geometries=tiles)\n",
    "\n",
    "fig, axes = plt.subplots(1, 2, figsize=(14, 4.6), tight_layout=True)\n",
    "\n",
    "\n",
    "\n",
    "aperture.plot(z=t_metal / 2, ax=axes[0], facecolor=\"tab:cyan\", edgecolor=\"k\")\n",
    "axes[0].set_title(\"(b) full slot, one unit cell\")\n",
    "axes[0].set_xlim(-period_x / 2, period_x / 2)\n",
    "axes[0].set_ylim(-period_y / 2, period_y / 2)\n",
    "\n",
    "gold_tiled.plot(z=t_metal / 2, ax=axes[1], facecolor=\"goldenrod\", edgecolor=\"k\")\n",
    "axes[1].set_title(\"(c) gold film, 2 x 2 unit cells\")\n",
    "axes[1].set_xlim(-period_x, period_x)\n",
    "axes[1].set_ylim(-period_y, period_y)\n",
    "\n",
    "for ax in axes:\n",
    "    ax.set_aspect(\"equal\")\n",
    "    ax.set_xlabel(\"x (um)\")\n",
    "    ax.set_ylabel(\"y (um)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "471326b4",
   "metadata": {},
   "source": [
    "### Source and monitors\n",
    "\n",
    "The metasurface is excited from above by a broadband plane wave at normal incidence. The capacitive\n",
    "gap runs along $x$, so the mode is driven by a field polarized along $y$; we set `pol_angle` to\n",
    "$90^\\circ$ accordingly.\n",
    "\n",
    "Along $z$ the domain is one central wavelength high, with the GaAs filling the lower half and\n",
    "extending through the PML so that the substrate is effectively semi-infinite and no back-surface\n",
    "echo appears in the spectrum.\n",
    "\n",
    "Four monitors record the response:\n",
    "\n",
    "* `T` - a flux monitor inside the GaAs, below the metasurface, giving the transmittance,\n",
    "* `R` - a flux monitor above the source, giving the reflectance (a plane-wave source radiates in one\n",
    "  direction only, so everything crossing this plane is reflected light),\n",
    "* `field_xy` - the in-plane electric field 0.5 um below the metal, i.e. at the example depth of the matter system, at the two resonance frequencies,\n",
    "* `field_xz` - a vertical cut through the cell showing how far the near field reaches into the\n",
    "  substrate."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "7a1c9e58",
   "metadata": {},
   "outputs": [],
   "source": [
    "offset = lda0 / 4  # spacing between the domain edge and the source / monitor planes\n",
    "Lz = 4 * offset  # height of the simulation domain (= lda0)\n",
    "\n",
    "# frequencies at which the near fields are recorded: the two resonator modes.\n",
    "f_modes = np.array([0.55, 2.11]) * THz\n",
    "\n",
    "source = td.PlaneWave(\n",
    "    name=\"plane_wave\",\n",
    "    center=(0, 0, Lz / 2 - offset),\n",
    "    size=(td.inf, td.inf, 0),\n",
    "    source_time=td.GaussianPulse(freq0=freq0, fwidth=fwidth),\n",
    "    direction=\"-\",\n",
    "    pol_angle=np.pi / 2,  # E field along y, across the capacitive gap\n",
    ")\n",
    "\n",
    "monitor_t = td.FluxMonitor(\n",
    "    name=\"T\",\n",
    "    center=(0, 0, -Lz / 2 + offset),\n",
    "    size=(td.inf, td.inf, 0),\n",
    "    freqs=freqs,\n",
    "    normal_dir=\"-\",  # power flowing downwards counts as positive\n",
    ")\n",
    "\n",
    "monitor_r = td.FluxMonitor(\n",
    "    name=\"R\",\n",
    "    center=(0, 0, 0.4 * Lz),\n",
    "    size=(td.inf, td.inf, 0),\n",
    "    freqs=freqs,\n",
    "    normal_dir=\"+\",  # power flowing upwards counts as positive\n",
    ")\n",
    "\n",
    "monitor_field_xy = td.FieldMonitor(\n",
    "    name=\"field_xy\",\n",
    "    center=(0, 0, -0.5),\n",
    "    size=(td.inf, td.inf, 0),\n",
    "    freqs=f_modes,\n",
    ")\n",
    "\n",
    "monitor_field_xz = td.FieldMonitor(\n",
    "    name=\"field_xz\",\n",
    "    center=(0, 0, 0),\n",
    "    size=(td.inf, 0, 30),\n",
    "    freqs=f_modes,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "50d94c7a",
   "metadata": {},
   "source": [
    "### Boundaries, mesh and symmetry\n",
    "\n",
    "The array is periodic in $x$ and $y$ and absorbing in $z$. Because the excitation is a normally\n",
    "incident plane wave, simple periodic boundaries are sufficient - Bloch boundaries would only be\n",
    "needed at oblique incidence.\n",
    "\n",
    "With the metal reduced to a surface impedance, the mesh is driven entirely by the dielectric problem. We define `dl_min` as a guard rail against runaway refinement. Here we have two places where resolution is required:\n",
    "\n",
    "* **In plane**, the narrow features are the 2.5 μm slots and bars. `min_steps_per_wvl = 25` plus a\n",
    "  corner refinement gives roughly 0.5 μm cells.\n",
    "* **In $z$**, the near field below the metal is what couples to our matter excitation. It decays over a\n",
    "  few microns. Left to itself `AutoGrid` puts ~2.6 μm cells at the surface, which would smear that\n",
    "  decay into a single cell and make the near-field maps meaningless. A\n",
    "  [`MeshOverrideStructure`](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.MeshOverrideStructure.html)\n",
    "  pins the step to `dz_near` through the top `z_near` microns of the substrate.\n",
    "\n",
    "Finally, with $\\mathbf{E} \\parallel \\hat{y}$ the field has a definite parity about both mirror\n",
    "planes: $E_y$ is even under $x \\to -x$ and odd under $y \\to -y$, giving `symmetry=(1, -1, 0)`. This\n",
    "cuts the computational domain - and therefore the cost - by a factor of four."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "9da33c75",
   "metadata": {},
   "outputs": [],
   "source": [
    "# --- meshing ---------------------------------------------------------------\n",
    "dl_min = 0.2  # smallest allowed grid step (um)\n",
    "min_steps_per_wvl = 25  # base resolution\n",
    "dz_near = 0.25  # z step in the near-field region below the metal (um)\n",
    "z_near = 6.0  # depth of that refined region (um)\n",
    "\n",
    "\n",
    "boundary_spec = td.BoundarySpec(\n",
    "    x=td.Boundary.periodic(),\n",
    "    y=td.Boundary.periodic(),\n",
    "    z=td.Boundary.pml(),\n",
    ")\n",
    "\n",
    "grid_spec = td.GridSpec(\n",
    "    grid_x=td.AutoGrid(dl_min=dl_min, min_steps_per_wvl=min_steps_per_wvl),\n",
    "    grid_y=td.AutoGrid(dl_min=dl_min, min_steps_per_wvl=min_steps_per_wvl),\n",
    "    grid_z=td.AutoGrid(dl_min=dl_min, min_steps_per_wvl=min_steps_per_wvl),\n",
    ")\n",
    "\n",
    "# refine around the in-plane corners of the aperture, where the fields are singular\n",
    "corner_spec = td.LayerRefinementSpec.from_structures(\n",
    "    axis=2,\n",
    "    structures=[metasurface],\n",
    "    corner_refinement=td.GridRefinement(refinement_factor=4),\n",
    ")\n",
    "\n",
    "# resolve the near field in the top few microns of the substrate, where the\n",
    "# quantum wells would sit; AutoGrid on its own would put ~2.6 um cells here\n",
    "near_field_mesh = td.MeshOverrideStructure(\n",
    "    geometry=td.Box.from_bounds(\n",
    "        rmin=(-td.inf, -td.inf, -(z_near - t_metal)),\n",
    "        rmax=(td.inf, td.inf, t_metal),\n",
    "    ),\n",
    "    dl=(None, None, dz_near),\n",
    ")\n",
    "\n",
    "grid_spec = grid_spec.updated_copy(\n",
    "    layer_refinement_specs=[corner_spec],\n",
    "    override_structures=[near_field_mesh],\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "741de43f",
   "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\">16:01:21 EDT </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Structure: </span><span style=\"color: #008000; text-decoration-color: #008000\">'metasurface'</span><span style=\"color: #800000; text-decoration-color: #800000\"> </span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">(</span><span style=\"color: #800000; text-decoration-color: #800000\">simulation.structures</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">[</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">])</span><span style=\"color: #800000; text-decoration-color: #800000\"> was   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">detected as being less than half of a central wavelength from a PML</span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">on side z-max. To avoid inaccurate results or divergence, please   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">increase gap between any structures and PML or fully extend        </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">structure through the pml.                                         </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:01:21 EDT\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Structure: \u001b[0m\u001b[32m'metasurface'\u001b[0m\u001b[31m \u001b[0m\u001b[1;31m(\u001b[0m\u001b[31msimulation.structures\u001b[0m\u001b[1;31m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;31m]\u001b[0m\u001b[1;31m)\u001b[0m\u001b[31m was   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mdetected as being less than half of a central wavelength from a PML\u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mon side z-max. To avoid inaccurate results or divergence, please   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mincrease gap between any structures and PML or fully extend        \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mstructure through the pml.                                         \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\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING:  ℹ️ ⚠️ RF simulations are subject to new license            </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">requirements in the future. You are using RF-specific components in</span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">this simulation.                                                   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\"> - Contains a </span><span style=\"color: #008000; text-decoration-color: #008000\">'LossyMetalMedium'</span><span style=\"color: #800000; text-decoration-color: #800000\">.                                  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\"> - Contains monitors defined for RF wavelengths.                   </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING:  ℹ️ ⚠️ RF simulations are subject to new license            \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mrequirements in the future. You are using RF-specific components in\u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthis simulation.                                                   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31m - Contains a \u001b[0m\u001b[32m'LossyMetalMedium'\u001b[0m\u001b[31m.                                  \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31m - Contains monitors defined for RF wavelengths.                   \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "grid cells : 2.76e+05\n",
      "time steps : 3.49e+05\n",
      "min step   : dx=0.491  dy=0.494  dz=0.200 um\n"
     ]
    }
   ],
   "source": [
    "run_time = 2e-10\n",
    "\n",
    "sim = td.Simulation(\n",
    "    size=(period_x, period_y, Lz),\n",
    "    grid_spec=grid_spec,\n",
    "    structures=[substrate, metasurface],\n",
    "    sources=[source],\n",
    "    monitors=[monitor_t, monitor_r, monitor_field_xy, monitor_field_xz],\n",
    "    run_time=run_time,\n",
    "    medium=vacuum,\n",
    "    boundary_spec=boundary_spec,\n",
    "    symmetry=(1, -1, 0),\n",
    "    shutoff=1e-8,\n",
    ")\n",
    "\n",
    "dl = [np.diff(np.array(b)) for b in sim.grid.boundaries.to_list]\n",
    "print(f\"grid cells : {np.prod(sim.grid.num_cells):.2e}\")\n",
    "print(f\"time steps : {sim.num_time_steps:.2e}\")\n",
    "print(f\"min step   : dx={dl[0].min():.3f}  dy={dl[1].min():.3f}  dz={dl[2].min():.3f} um\")\n",
    "\n",
    "# for reference, the volumetric-Drude version of this same simulation needs\n",
    "# 6.75e6 cells and 1.05e6 time steps - about 70x more work."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0a90a875",
   "metadata": {},
   "source": [
    "### Sanity checks before submitting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "8caf702a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1100x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(11, 5), tight_layout=True)\n",
    "\n",
    "sim.plot(z=t_metal / 2, ax=ax1)\n",
    "ax1.set_title(\"in-plane cut through the gold film\")\n",
    "\n",
    "sim.plot(z=t_metal / 2, ax=ax2)\n",
    "sim.plot_grid(z=t_metal / 2, ax=ax2)\n",
    "ax2.set_title(\"with the FDTD grid\")\n",
    "ax2.set_xlim(-5, 5)\n",
    "ax2.set_ylim(-5, 5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "c2328e5d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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99NHM9s8++6xNvNddd50IBALi888/zznuFVdcIVwul1ixYkWX19rew7+//OUvbca1O6bUVVdd1eXDtSeffFIAYv78+TnbLcsS69evz/lJpVKdxnvOOecIv98v4vF4zvYbb7xR+Hy+zP3q559/3u790S677CKmTp3a5XW1piNTChAPPvhgZlsikRCDBg0SxxxzTGbb22+/nTEfW2JZlth2223FlClTckzBWCwmRo4cKQ499NDMNvv/30knndQmNluvt99+O2d7vg97DzjgAFFRUdHmgWvLmM444wwxePBgUVtbm7PPiSeeKMLhcLvnkvQd5PQ9iURSdL777jsAtt122zavjRkzps2+Q4YMoaKiImf7DjvskHMsm6233jrn93A4DMCwYcPa3d6y5H3FihWcdtpp9OvXL1M+b/fdamho6PK6Wp8boKqqKq+yeqDD/kv77rsv5513Hm+99RZTpkxpM+2wI7bZZhsmT57c5c++++7b5bF8Pl+bqQwA8Xg883p71+JUg0+JRCKRlCcPPvggt99+O9dffz0HHXQQAP/9739Zt24d559/PrquZ/adOnUq22+/PYsXLwbSU9Lfe++9zHevzc4778yhhx7K008/3eZ8Z555ZubfLpeL3XffHSEEZ5xxRmZ7ZWUlY8aM4euvv+40dvv4rdsBXHzxxQCZOG3Gjh3L/vvvn/m9f//+eZ0nH1pPyd9///1zjvv4448TDoc59NBDc6bgT5gwgWAwyIsvvpjXeVqOnz1OgUCA448/PrN9zJgxVFZWtjn//vvvT1VVVc75J0+ejGmaefVPanmvEI/Hqa2tzSzwYrcp6C5PP/10l1P3IpEIAMFgMGd7Q0MD/fv3z/lpuUJdy3gbGxupra1l//33JxaL8dlnn+Uc6+GHH2bq1KmZ+9Vtt92WCRMmtJnCV1lZyccff9xm5eKeEgwGOeWUUzK/ezweJk6cmNd78r333uOLL77gpz/9KXV1dRlNo9EohxxyCC+//HJmaqZNd1aJbjl+0WiU2tpa9tlnH4QQ/O9//wNg/fr1vPzyy5x++ult7qPte0ghBH/72984+uijEULkvP+mTJlCQ0NDj98/kvJArr4nkUjaoChKuwZJR3PoywmXy9Wt7fZ1mqbJoYceyoYNG7j88svZfvvtCQQCrFy5ktNOO63Nl3JPztER1dXVAB2aV4lEItND4KuvviIWi+H3+7uMp6mpiaampi73c7lcmR4QHTF48GBWr17dZru9bciQITnb7Wupqanp8vwSiUQi6Zu89957nHvuuZx00kk5xo79wKj1gyaA7bffnldffbXL/XbYYQeeffZZotFozvLy7T180nW9zfdNOBzuslfRd999h6qqjB49Omf7oEGDqKys7PLBF3Tv4VNH6Lre5nu49XG/+OILGhoaGDBgQLvHsJtNd/c84XCYrbbaqs1DpHA43Ob8H3zwQYf3C/mcf8OGDVx77bU8+uijbfbP5+Ffa9asWcO7777L3LlzO93PNopa3xMFg8FML6clS5Zwww035Lz+8ccf85vf/IYXXnghY2y1F++nn37K//73P0499VS+/PLLzPYDDzyQBQsWEIlECIVCAMydO5dp06ax3XbbseOOO3L44Yfzs5/9jJ133rmbV5+mPe2qqqr44IMPuvxb2xize0K1R0NDA1VVVZnfR44cmXdsK1asYM6cOfzzn/9s83/EHj/bPNtxxx07PM769eupr6/nrrvu4q677mp3n3zef5LyRZpSEomkDVVVVe0+YWl9c9ZThg8fDtDuU6Lly5e32ff555+nsbExp1rKfkJlH6u3fPjhh3z++ec88MADOY3Nu2o86QTbb789AN988027r1999dV8+umn3HjjjVx++eVcccUV3HLLLV0e98Ybb8wsy9wZw4cPb7MSYWvGjx/PK6+8gmVZOc3O33zzTfx+P9ttt13O/va12BVtEolEItm82LhxI8cccwzbbbcdf/7zn4t23vYeAPX0oZBNvlW9vT1Pd4/bEsuyGDBgQLvNs4EuHy51dp58rsuyLA499FAuu+yydvdtfR/QHscffzyvv/46l156KePHjycYDGJZFocffnheD/9a8+9//xtd1zMVeh1h32d99NFHOds1TWPy5MkA/PDDDzmv1dfXM2nSJEKhEHPnzmXUqFHous67777L5ZdfnhPv//t//w+Aiy66iIsuuqjN+f/2t78xc+ZMAA444AC++uornnzySZYsWcKf//xnbr75ZhYuXJhTxZYvvXlP2tdwww03MH78+Hb3aV1d1royviOceNjbOs5TTjmlQwOtp6aepDyQppREImnDqFGjePrpp1m/fn3mJuf999/ntddeazMNricMHjyY8ePH88ADD3DFFVdkptI999xzfPLJJzlG05FHHsldd93FbbfdxpVXXpnZfvPNN6MoCkcccUSv44Hsl3rLL3EhBH/6058cOX5nDB06lGHDhrVZeRDSps+NN97IhRdeyMUXX0xtbS1/+MMfOOaYYzJTCzvi1FNPZb/99uvy/PncYBx77LE88cQT/P3vf+fYY48FoLa2lscff5yjjz4ar9ebs/8777xDOBxm3LhxXR5bIpFIJH0Ly7I4+eSTqa+v5/nnn29TvWt/jy9fvpyDDz4457Xly5dnXm+5X2s+++wzampqcqqknGb48OFYlsUXX3yR8xBl7dq11NfXO/bgy4mp7KNGjeL5559n3333zdsYcJJRo0bR1NSUMXE6oqNr3bhxI0uXLuXaa69lzpw5me29mca2ePFiDjrooC7HY8yYMWy77bYsWrSI+fPn5/Weeumll6irq+Pvf/87BxxwQGZ76weIQggeeeQRDjroIM4///w2x7nuuut4+OGHM6YUQL9+/Zg5cyYzZ86kqamJAw44gGuuuaZHplQ+dKTJqFGjAAiFQl3q2l3yfdi7zTbbAG0Nw5b079+fiooKTNN0PE5JeSB7SkkkkjacfvrppFIppkyZwoIFC7j66qs57LDDHDUY5s2bx9q1a9lvv/24+eabueqqqzjuuOPanOPoo4/moIMO4te//jXnnHMOt99+O9OnT+exxx7jl7/8ZeYLtbdsv/32jBo1iksuuYTf//733HbbbRx88MFtnpwVimnTpvHCCy/kmGLxeJwZM2aw7bbb8rvf/Q5IL7E8duxYZs6cSTQa7fSYTvaUOvbYY9lrr72YOXMmc+fO5fbbb+fAAw/ENM12q7Gee+45jj76aNlTSiKRSDZDrr32Wp599ln+8pe/tDudZ/fdd2fAgAEsXLgwpx/hv//9bz799NNMD6CWD6nq6+sz+3300UcsWbKEI488sqDXYR9//vz5OdtvuukmgC57FeWLbdq1vMbucvzxx2OaJtddd12b1wzD6NWx8z3/smXLePbZZ9u8Vl9fj2EYQMfX2t7DP2g79vmSSqV47rnn8tbommuuoba2lrPOOotUKtXm9dZxtRdvMpnk9ttvz9nvtdde49tvv2XmzJkce+yxbX5OOOEEXnzxRVatWgXQZkppMBhk9OjR7fbtdArbhGutyYQJExg1ahQ33nhju+0e1q9f3+Nz5vuwt3///hxwwAHce++9rFixIuc1+29dLhfHHHMMf/vb39o1r3oTp6Q8kJVSEomkDTvssAMPPvggc+bMYfbs2YwdO5aHHnqIRx55JNPbqLccfvjhPP744/zmN7/hyiuvZNSoUdx33308+eSTOedQVZV//vOfzJkzh8cee4z77ruPESNGcMMNN2QakTqB2+3mqaee4oILLmDevHnous6Pf/xjZs2axS677OLYeTri9NNP57bbbuO1117LVDf96le/4ssvv+T111/PNIr1eDw88MAD7LXXXlx66aVtbo4Khcvl4umnn+bSSy/llltuobm5mT322IP777+/TS+Qzz77jI8++qjHN5oSiUQiKV8+/PBDrrvuOg444ADWrVuXmbpkc8opp+B2u/nDH/7AzJkzmTRpEieddBJr167lT3/6EyNGjMiZ4nTDDTdwxBFHsPfee3PGGWfQ3NzMrbfeSjgc5pprrinoteyyyy7MmDGDu+66KzNd66233uKBBx5g+vTpXU4Lyxefz8fYsWN57LHH2G677ejXrx877rhjp310WjNp0iTOOecc5s2bx3vvvcdhhx2G2+3miy++4PHHH+dPf/pTppK5EFx66aX885//5KijjuK0005jwoQJRKNRPvzwQ5544gm+/fZbampqOr3WAw44gOuvv55UKsXQoUNZsmRJh60LuuLVV18lEonkbUr99Kc/5aOPPmLevHm89dZbnHjiiYwcOZJoNMpHH33EX/7yFyoqKjL9k/bZZx+qqqqYMWMGF1xwAYqi8NBDD7Uxrx5++GFcLleHcfzoRz/i17/+NY8++mjmnvrAAw9kwoQJ9OvXj//+97888cQTzJo1q0fjkA+jRo2isrKShQsXUlFRQSAQYM8992TkyJH8+c9/5ogjjmDcuHHMnDmToUOHsnLlSl588UVCoRBPPfVUj87Z8mHvypUrCYVC/O1vf2u3/9ott9zCfvvtx2677cbZZ5/NyJEj+fbbb1m8eHGm8fz//d//8eKLL7Lnnnty1llnMXbsWDZs2MC7777L888/z4YNG3ozRJJSU7yF/iQSiUTSGQcffLA45ZRTSh1Gr/nlL38pdt1115ylfCUSiUSyeWAvTd/RT0see+wxseuuuwqv1yv69esnTj75ZPHDDz+0Oebzzz8v9t13X+Hz+UQoFBJHH320+OSTT3L2sZekX79+fc72GTNmiEAg0OaYkyZNEuPGjevyelKplLj22mvFyJEjhdvtFsOGDRNXXnmliMfjOfsNHz5cTJ06td3zTJo0qcvzvP7662LChAnC4/EIQFx99dWdxm9fb2vuuusuMWHCBOHz+URFRYXYaaedxGWXXSZWrVrV6fm7O07tXW9jY6O48sorxejRo4XH4xE1NTVin332ETfeeKNIJpNdXusPP/wgfvzjH4vKykoRDofFcccdJ1atWpWzjxBC3HfffQIQ33zzTYfXc8kll4ixY8d2es3t8dJLL4ljjz1WDB48WLjdbhEKhcTuu+8urr76arF69eqcfV977TWx1157CZ/PJ4YMGSIuu+wy8eyzzwpAvPjiiyKZTIrq6mqx//77d3rOkSNHil133VUIIcRvf/tbMXHiRFFZWSl8Pp/Yfvvtxe9+97uc8WsP+//diy++mNnWkXYzZswQw4cPz9n25JNPirFjxwpN0wQg7rvvvsxr//vf/8RPfvITUV1dLbxerxg+fLg4/vjjxdKlSzP7dPT/T4isXm+//XbO9k8++URMnjxZBINBUVNTI8466yzx/vvvtzm/EEJ89NFHmfeGrutizJgx4qqrrsrZZ+3ateLnP/+5GDZsmHC73WLQoEHikEMOEXfddVenYycpfxQhetmZTyKRSCSO8Oabb7L//vvzxRdfONbHotjU1dUxfPhw/vrXvxZ82oVEIpFIJJItk7Fjx3LUUUdx/fXXlzoUiUTSS6QpJZFIJBKJRCKRSCSSPkEymWTevHkcf/zxcpVfiWQzQJpSEolEIpFIJBKJRCKRSCSSoiNX35NIJBKJRCLZgnn55Zc5+uijGTJkCIqisGjRoi7/5qWXXmK33XbD6/UyevRo7r///jb7LFiwgBEjRqDrOnvuuSdvvfWW88FLJBKJRCLp00hTSiKRSCQSiWQLJhqNsssuu7BgwYK89v/mm2+YOnUqBx10EO+99x4XXnghZ555Zs5S8Y899hizZ8/m6quv5t1332WXXXZhypQprFu3rlCXIZFIJBKJpA8ip+9JJBKJRCKRSABQFIV//OMfTJ8+vcN9Lr/8chYvXsxHH32U2XbiiSdSX1/PM888A8Cee+7JHnvswW233QaAZVkMGzaMX/ziF1xxxRUFvQaJRCKRSCR9B63UAWxOWJbFqlWrqKioQFGUUocjkUgkEomkGwghaGxsZMiQIaiqLCbviGXLljF58uScbVOmTOHCCy8E0k2I33nnHa688srM66qqMnnyZJYtW9bhcROJBIlEIvO7ZVls2LCB6upqeV8lkUgkEkkfI9/7KmlKOciqVau47/arcWm+bv+tpbjJzqa0UEXK0djyQSguROYtIVBECoXiFtIJFITiBtI3nwoGijCLGgNIPTIxSD0y2HqYAhoaTZrjCYpdaKooCl6vN/O7YRgYhlHUGAA8Hk/mi8WyLJLJZNFj0DQNTct+hSUSUg+Qejihx5133sn333/PVltt5WR4mxVr1qxh4MCBOdsGDhxIJBKhubmZjRs3Yppmu/t89tlnHR533rx5XHvttTnb5p5e7VzgLYlraB/ujbHTMtCL//92i6EpiO+vs2g+/jYINpU6Gkkx6Ibmfq9CZYXKVffUsbqu8/tLFZXt2Z7P+AwLy8mIJWWK1LzwhAhxFVcBcB3XESFSkPN0dV8lTSkHqaiowKX5CIeCuLXuPWFNmgqNcVf6OLqJx1X8WZWWgI2x9FvC4xJU6MU3HwAa4y6SZtoEqfIbqCV4OCr1yCL1SGPr4UKwVThMuLKq6DEANDQ0ZEyH6urqklRzJJNJGhoaAAiHw3g8nqLHYFkWdXV1QNqUCYfDRY8BpB42m4sedpVORUWF47FJuubKK69k9uzZmd8bGhq4/5pdOfnkk/F43I6eKxJJ33iHQqc4etxCko05VOJI8icSicCMzwmFji11KBnKbRzNpMWnD38CwA4nj8XlKe73SEHG4xdrgE40t5LQ9A2RxkYUknx8zCxc25wKnuLdW3311VcAjBo1qmjntPno9Y944YgXmPnJTCqGlsf3TSnHoyPKMaau6Gsxt4z3bM52/PiRSIRhw4Z1eV8lTSkHsUvL3ZqKx5P/0KYMaI4reDf9SXNKw+sWuIuojiWgIaqgucDtgqShkrJUAnpxk/9oXMEUCj6PIGVCc8pNOCCKaoRIPbJIPdJk9FAFmsvCsExM0yx64trY2IhlWQSDQRKJBM3NzUU3QpLJJPX19fh86YrQWCyG3+8vqhFiGyButxuv10s8Hpd6SD0c1UNOFeucQYMGsXbt2pxta9euJRQK4fP5cLlcuFyudvcZNGhQh8f1er051W42Ho8bt8Pv6cav/LxywVYcfu8G+o9z9NAFw+1Oj4HTY1FIXMLD2v/6CB/iRiuTsMttHF2YuEg/ePN43KgeV1HP7/R4GElYvczN4L1THWtuCnBruDUXCJVgQMcdCoGnY2Os8YdG7hx2J+d8fw4VW/X++8X+jiqFORkMBNHRCVWEqAiVhylVyvHoCFeTiyUHLGH096Md0bwYlOM4dkbAG2D10tWs/nI1o6aNQuuGh9Edurqvkg0TSkzKgPqYgqZCZVBQGRRoanpbqkjV5HbCbVhQ6RdUBgQBryCaUIjGi3djHo0rRBMKAW86hkq/wLDSsVlF8mKkHlmkHmla6hEOmIR9KSqCASKRCI2NjcUJgnTCHYlECIVCVFdXU1NTQyqVoq6uDssqTklzMpmktrYWt9tNTU0NNTU1uN1uamtrizZlzDZAUqkUNTU1VFdXEwqFpB5Sj5LrsSWx9957s3Tp0pxtzz33HHvvvTeQrpabMGFCzj6WZbF06dLMPqUmNMJg/Ox1VPWNh9l9lniDylvXDCCxsdSRSIpFYiO8dFnQcc0DgwKc/NbJBAYFnD2wpGzR++tMemKS1LyAxOvivH3B2zx1/FM0r2suWRyyUsppFBDCQuTRdydlQkPUhcslCPlNbLsh5IeGmIv6aDoJdhfwgYkl0ucyTUE4YKK5QAjwe0Gg0hRXEQgC3sLe1EcTKtG4QkA38XsthADNBWF/eozqoxD2mwWt0JF6ZJF6pGmjh2qCJagI+lFdnkzJe6ErQlom3Pa5PB4PNTU11NbWUldXV/AKnZYGSMtzVVdXU1dXR21tLTU1NQWt0GltgNjnssdE6iH1KJUefZ2mpia+/PLLzO/ffPMN7733Hv369WPrrbfmyiuvZOXKlTz44IMAnHvuudx2221cdtllnH766bzwwgv89a9/ZfHixZljzJ49mxkzZrD77rszceJE5s+fTzQaZebMmd2Kze9VsIwYluJwL0GlmYqtLSzhxip+m8KeYaYTBitV3Eqa3uDvF2Xavz/DVxEsn3Eus3G0DBOXN7Xp31FQihyXw+Ph6wcnvxrddMwOdrKSYCZBGJBvryAVgoODsqRiS0IF7wCv1LyA+Af7mf7FdEaPHl3SOKQp5TAuFYQV6/KLN2WqRBJ+XEqSkDsGRu5HcsgNDaaf+iaVkDeG2+W8CSEENMT9mEIQ8sZwWRYtHyj7VBCah2izF2Ek8HsK8+Q9lvQQS3nxu5vxqcmcsXMBFZ70WNU3WoT1GIWYVSH1yCL1SNOeHsIUoKY/NouVeLeXcNsUK/HuyACB9IpaxTBCOjJAbKQeaaQeWaQxlT///e9/OeiggzK/232dZsyYwf3338/q1atZsWJF5vWRI0eyePFiLrroIv70pz+x1VZb8ec//5kpU6Zk9jnhhBNYv349c+bMYc2aNYwfP55nnnmmTfPzrhg70oMR+QzLYe0in/h45fJJHPTHV6nero804E6mv5AThrP9tQqJ0WTyw3+2YuShn6J5yqRqsdzGUQgG7NYEQiHV+CkFubHqDIfHw0iqrHhhCFsfvKpjzYUJqcb0XD81v++o6Kqoo9P3SokW1KieWI07VCbvwTIlvjbOkgOWMPL7kX1e83LFiBuseGIFkZoIO5+5M5peGntImlIOY1qgqH7UTso3UiY0NrvQNLvapP3/ZJXudJVGYzLkeEWIJSASc2EBlUETt6v9ssigG5SESjQeQNF8jlfoRBMqMUMl4LMIeL1A214SXvemsYh6iKQ8jlfoSD2ySD3SdKSHECZY2SrIQifenSXcNoVOvDszQGwKbYR0ZYDYSD3SSD2ySGMqPw488MBOV0u8//772/2b//3vf50ed9asWcyaNatXsX3yTZJxe2yP2+1s8hYa28T+879mwPjhaH3kbjjVmDbPvBXBEkeSP5GGZt6/a1u2OXwV3qryMKXKcRxT7tLF5PR4mLUq794xhOGHVnWsuZWE6ApSVhOQXwldYEiAc74/h8CQvj+Vy1PhYf+H90cP6aUOpazRB+oc9vJhm4Xm5UqqIcUH130AArb7yXYEh5Tmc7GPfA33IQQoiorSQeltyoCGWLqBdbphdMeZtEuBykC6n01DTKPS70xz53TCrWBaUBkQ6SaDnRDUQQGiCRcKzjXbjsYVYgmFoC4I6ArQcRweLT0W9TGFSExzrNm21COL1CNNV3oIJfcGq1CJdz4Jt02hEu98DBCbQhkh+RogNlKPNFKPLNKY6tvEEgJV86O6Ha74EyaNK/you2qofaVYwZV+KKK6+06C5htgMu2Z7wiGy6jpbzmOYyljcvjcwcHws2UbAV/HO5kauDygaOmqqXywoGl1U7q/kPwI3zKwILEukZ4uITUvCL6BPqYvL/30PSlvEWnZtDnfJF5V0vs61dy5dRPtfJP4gO5ss+2WTbTzNVXcGo4225Z6ZJF6pOmpHhUVFY42d+5Owm1jJ95ONXfujgFiYxshTjXb7q4BYiP1SCP1yOK0HpK+T+RbjfduGsDGr0odyeaNkYTPHwlhxEsdiaRYGHH48D7dcc2ja6I8PPFhomuizh5YUrbE18f5z7H/kZoXECNu8Oktn/L6Na9jxIu0ilQ7SFOqSPQk4bZxKvHuacJt45QR0hMDxMYpI0TqkUXqkaa3ejiVePck4bZxKvHuiQFi45QR0lMDxEbqkUbqkUUaU5KW9NveYNqSb+k/rtSRbN4YTSrLH64kKXPKLYZkFD64x+e45hVbVXCJuET2FtqCsJtwS80Lh9Fo8PnCz3nj928Qry/d0wNpShWB3iTcNr1NvHubcNv01gjpjQFi01sjROqRReqRxik9ept49ybhtult4t0bA8Smt0ZIbw0QG6lHGqlHFmlMSWyMJvj43jDxPtLjvK+i97M4evEK/NWljkRSLPzVcPKrGx3X3EgafPHkFxjJ0lVzSIqLlbRY9fwqqXkB0fvrTPtkGrOTswkOKl2fPWlKFRgnEm6bnibeTiXcNj01QpwwQGx6aoRIPbJIPdI4rUdPE28nEm6bnibeThggNj01QpwyQGykHmmkHlmkMSUBiPyg8eWjlTR+V+pINm+MOHy4sEpO39uCMOLw3/k+xzVvXtfMk9OfpHlds7MHlpQt8bo4b533ltS8gBgxg/fnvs/SWUtJxgqzsns+SFOqgDiZcNt0N/F2OuG26a4R4qQBYtNdI0TqkUXqkaZQenQ38XYy4bbpbuLtpAFi010jxGkDxEbqkUbqkUUaU5L09L3v5PS9AmM0q3z37wpSsVJHIikWqRh8sUh3XHM5fW/LQ07fKzxGzGDFEyv48L4PSTXltxJmIZCr7zmMywWWGSMedxGJ67hUiwpPHGFAnmtL5EWFBxriOhubVEJ6HLer7Q21EOl9TCu9jyosTAffa7oLLM1NU7MHy0zi97R/8FjSTSzpwe9JortSjsagAhUelUhcZ2OjRViPo7RjbqRMVeqxCalHmh7pISwUJT9zIN9VxwqRcNvku+pYIQwQm3xXgSuUAWIj9Ugj9cjSnh6S8mOnbTyk6j/GdHW+Mm13ideZfHT3GHab9SF60JmHMwUnkQAgbnhLHEj+6J4ERz3yKYrwEq8rdTSbKMdxLGVMDp9bAX78N0DQseaWAan6dFmVkt/yl0bc4OMHP2bcqePQdJnCbgkYcYMfnvyBERePkJoXCL1G5+gPji756ntSXYcRAgzhJpbU0VwWIZ+JmueHbXdQgLDfJNKsEkn4CfuSuF3ZmypLQCTuxhQqYX8St8sFOHtDBxDQQVFMokkviuLC7821FmIJF7GURsBr4PcCOD8WHhXCqkFDs4dIwk/Il8qpukmZCpGER+qB1MOmx3rku2zxJrpKvAuZcNt0ZYQU0gCx6coIKbQBYiP1SCP1yNJaD5+vkyXMJSVhQ6OF6qnEpTl7y9pcK1j58lDGnRQlUN1H5paZ6SksLm/feZ8ajQk+WDiCibPX4vaXSUViOY5jKWNy+NypmMo7twxlwgUrO9bcSoFIQCp/Qzi+Ic7z5z3PqKNGERxSut43kuKRakjx3pz32GvmXlLzAmE0Gbx71bt8FvyMw+4+DE+wMPd8XSFNKYcxLYWmpA+vphAOKKiK88aDjQpUBtPTjyJxPTP9yBLQGFUwBVQFBG6tsE9dgn5QVIVowouiZqeDReMKsZRCUBcEdDeFMEBsvC6oUqE+ptEY1zLTwVIGROIKbhdSD6lHr/UQwkRY3Sst6yjxLkbCbdOREVIMA8SmIyOkWAaIjdQjjdQjS0s9UqnSla5L2mflegOXfyhuh9+LVeMiTFvyHaFwf0ePW0iazfT/E3cwVOJI8seobWLNO9Uomoa7THLKchzHUsbk9LmNJKx6q5LdNTrW3EyASNCcUNPmVB4EhwS52LzYkRglfQPfQB/Tl0+XhlQBMeIG619eT52rjlQsVTJTSvaUchihuNEU4ViPnK5o3UMnaRSmR05XtO5pVIieRV3RuqdRsgA9i7pC6pFF6pGldQ+dYibcNq176CQSiaIZIDatexolEomiGiA2Uo80Uo8sth6m6eREYkk5E2+C1y4fQLyh1JFs3uhVFkc+8T2+fqWOpHwRpiDyZYTGLyMIs49MJe0EXz84YUm945obcYNlv1uGEe/7K7EZTQbvXPoOyabSNZbuCxhxg+V3LN8sNC9X9Bqdqe9M5RcbfkFgQKBkcUhTqgAEdbMoCbeNnXi7FKiPqqRMpagJt02OEVJkA8TGNkJSpkJ9VMWlFM8AsZF6ZJF6ZGmZeBc74baxE2+7IkfTtKIZIDa2EaJpWqbZdjENEBupRxqpRxaPx0M4HC7qOSWlI75Oo/Z/PmLrSh3J5k0yCm/MGUCyqdSRlC/CtNjw3zrq/luHMMtkimMvSDbBi5cEHdc8Xh/njeveIF7fR6bbdkKyMcn3i74nUZ9fldiWitFosPy25ZuF5uVKsjHJ62e8zt+O+BvxSOnGWU7fk0gkEolEIpFsUVRuY2yavlc+U7g2R4Sh0vClB8uQSeWWgmVA3WcalsPFLcFBQS6KX+TsQSVljd5f50cf/4jgIDl9r1CIlKDh0waaXE1YydKZ4rJSqgA0xV1YRSxIsZe1NwVUBizcLkF9TCFV5ErHnCliLaaOFZPUpilibpegMmBhbhobqYfUo9R6tJyS1HKqUjGxK3LsCh3DMKirq8OyivclZPcsMgwjU5FjV+gUE6lHGqlHlmQySUODnMu1pRCvhxfPH0S8vtSRbN54wxZTHvkBvbLUkUiKhV4Jx/6r3nHNk7EkL85+kWRMTnnbUjBiBh/+/kOpeQHx9vNyxOtHcP7q8/HX+EsWhzSlHEYRKQyhFC3xthNuu0eOR8vtoVOsxLt1z6LWPY2KQapVzyJPq55GUg+pR6n0aN0jp3UPnWLQuom21+vN6WlUDCOkdRNtr9eb09OoWEaI1CON1COLrYfLVbjFFyTlRaJeI/Kll+YNpY5k8yYZhVcvHiSn721BJJvg2XMrHNc81ZTig7s/INUkF6TYUjBiBt8+9q3UvIAkG5P858T/8Mh+j8jpe5sTLlUQ9DQTS+nUN1mEfKmC9c+xBESa3RiWStiXxKUIrE09Wiv09Gsbo+nX3K7COQCxhItoUiPgMfC5zUwMPjcIy0VTXENYBn5v4RrIpkyFhmYPmmpSoafAAgtwKRDS069JPaQevdZDdH/MOmra3NGqY4Wgo1XdOloFrhB0tKpbR6vAFQqpRxqpR5aWevh8ZbREvASAof01zNhKSDp7yxoe3My0p37A5/eR6iuGSaIZgFRTH6roiyWI1w0kGVmJQpn0SyqzcRSGhb9/+rPOiP2AkixyzYDD45GMqDSv37Zzza0UJOrBiuV93MCAAL9s/KUjMUr6BnqNztHvH13SBtybPSYk1iew3BbCKN1CC9KUchhFAU1JEfJaROI6DTEXYT2O4nDiLQQ0xHVMC0J6DE2xEC0+9xUg5E3RENdpiGmE9Dhul/M3A7Gkm1jShd+TwOdO5cQApLcJN9GEByFM/B7nne6UqRKJ67hUg5A3jiLS42OjKRDyGlIPpB42PdZDWChK/jeLXa0iVozEuyMDxKYYRkhHBohNsYwQqUcaqUeW1nrE47LvTbnRr0LFStaD6WwVW3y9yStX7sUhN/4PvbqPrOxkpJsim4m+8z71+BNMXvAymteLWS49nctsHIVp4alIx2ImN6KYRTalHB4PzQuH31W36Zgd7GQZYDSDlQDFnddxk01Jnv/580xeMLlky9ZLiovRZPD+te+z9UNbS80LhKfSw2FLD2P06NEljUOaUg5jmqC6/Hg8Gi4N6mMajUmPoyuOWQIi0fSzh6qgwK117B5XudPTlxqTQcdXHIvGFZoNhaBPENB1QG93vwo3qC6FaMKP6nJ2BbiUAY1JBbdmr+rW/heby43UYxNSjyzd1UMIE2HlZ+Tlu6x9IRPvrgwQm0IaIV0ZIDaFNkKkHmmkHlny1UNSWj78Osnuk8bhdtgYXf9DjNhaP0Ibi17t6KELRrIh/f9A70PN2ZtWNvL6ZYM4/I4onjIJu9zG0Uqa1H/9EQBbTdoR1VPcacROj0cyAs/NCnHobZGONTcT0PQ1STMCIj+3MhVL8fXir0ndkJIGxRaCETdY+9JaUjGpeaFIRpK88tNXeNX7Kif+50T0yvbzx0Ij78AKiLsAPXRa98jpKolWlcL00Gnds6grCtHTqHXPoq5MDalHFqlHmkLpkW/CbVOIHjrdTbhtI8TJnkb5GiA2thHidE8jqUcaqUcWaUhJwiPSq+9VbVPqSCQSST4EBgSYVTtLTuXagtBrdI58+0ip+RaAvAsrME4m3t1NuG2cTry7a4DYOGmEdNcAsZF6ZJF6pHFaj+4m3DZOJt49TbidNEK6a4DYOG2ESD3SSD2ySENKAhBdD/8+YSua1pQ6ks0bT1Bw4O2ry6ZKSlJ4PCGY+mAnVVI9JB6J849p/yhpM2ZJcUk2Jnnj3Dek5gXEE/JwyL8O4bT3TytZlRRIU6ooOJF49zThtnEq8e6pAWLjhBHSUwPERuqRReqRxik9eppw2ziRePc24XbCCOmpAWLjlBEi9Ugj9cgiDSmJjRXXSNa77HY6kgKRjKg8f/oQ4uXRU1xSBOIN8ORxIcc1t5IWa99Zi5Usk4b5koIjUoL6j+ql5gUkWZ9kySFLuHv03TRvaC5ZHPJurEj0JvHubcJt09vEu7cGiE1vjJDeGiA2Uo8sUo80vdWjtwm3TW8Sb6cS7t4YIb01QGx6a4RIPdJIPbJIQ0rSkophBtOe/Y7K4aWOZDPHZaFXWajFbZPUt1AU9IE+9IE+HF/5pQSoLtCrheOa+2v8nPvDufhr/M4euASobhVPpQfVI7+HOsPbz8vhrx6+WWhetrjA299LYFAARSvd54/8n1BEepJ4O5Vw2/Q08XbKALHpiRHilAFiI/XIIvVI01M9nEq4bXqSeDudcPfECHHKALHpqREi9Ugj9cgiDSlJa6LrYfH0reX0vQLjCcB+f1yDJ1jqSMoX1a0y6KBBDDpoEKq77382eYIwZWGj45rHI3EePfDRzWIql+yVlB/JxiSvnPzKZqF5ueKp8DDp0Un89NWfoodKN31Prr7nNAoIYSGE2e7LmgvCfmiIuqiPQthvdpjMWwIaYi5MUxAOmGiu9FL3DoRIyJ8+dn0UwgETdydPM6IJlWhcIaCb+L2WIzEA+L0gUGmKqwgEAW/HSVbKTI+ZyyUI+U0UnBkLqUcWqUeazvQQwmxzEqcTbpvurDpWqIS7O6vAOW2A2HR3FTipRxqpRxZpSPVt/F4Fy4hhKfmtfJovIp7CTIDRHMNKObcKbUEx01MrrFTfKTtKbEjw0s+3YeoD69Ary2QKTjmOYyljcvjc8XqVp2cO5Mj71nasuZUEMwnCAPJ7XwhDEF0dRRh95P+rpPeYkFifkJoXkMSGBC8c9QIul4vTPjytZFVp0pRyGJcKworR2arxLqDCoxJJ+KlvtAjrsTbVukJAQ9yPKQQhbwyXZeHA4ks5hNzQYPqpb1IJeWO4XW1PEEt6iKW8+N3N+NRkp9fVE3wqCM1DtNmLMBL4PW2fvKfM9Fi5lCQhdwyMfL++8kPqkUXqkaVdPYQANfuxWaiE2yafxLvQCXc+RkihDBCbfI0QqUcaqUcWaUj1fcaO9GBEPsNyWLtgZYof/fUz3B43iY2OHrpwJNNf+gnDXeJA8kdJCcIjw6SiH6OIMjGlynEcSxmTw+dOxVQqR2qday5MSDWCkQQ1v+8oXz8fZyw/w5EYJX0DT6WHyUsm4+vnK3Uomy2KWyG8Q5iAP1DS6aTSlHIY0wJF9aN2VuoCeN1Q6YaGqIdIypNTEWIJiMRcWEBl0MTtKlxpZ6U7XRHSmAy1qdCJJlRihkrAZxHwegFvQWIIukFJqETjARTNl1OhkzKhsdmFptlVM84nNiD1aInUI0trPTTVBCtdBVnohNums8S7WAl3Z0ZIoQ0Qm66MEKmH1KPl7yANqc2FT75JMm6P7XG7nU3WN34R58VzRnH0wysJDnb00AUj1dgEgLei78yFS2lN7HXdRoIVO5Q6lAzlOI6ljMnpc3ur4OCbkkAnmltJiK4gZTUB+T1hjdfH+eshf+X4pceXdJUwSfFIRpK8duprbPXqVlLzAuGp8LDPPfswevToksYhTSmnEaAoKorSdQmsR4PKQLp3TSSmEQ6kSxMjMQXTgsqAwK0VtozXpaRjaIgqNMS0TF+eaFwhllAI6oKArpCuXykcQT09bSqacKGgEtAFKQMaYkp6SldAoOYxpr1B6pFF6pGmtR5hP2iKRWNTjKZovOAJt017iXexE+72jBCgKAaITUdGSLEMEBupRxqph6QYxBICVfOjuh1+P2+qRla1AGoZFcx0iiv9UER1950+NPGI4IWzhjLtsQZ8/UodzSbKcRxLGZPD527eAP88sZIfPVrfseamBi4PKFq6akoikZSEeG2cpVOWorpUTv/s9JL1OZOmVImxmzvXxxTqm9KlIKZwpmlzvtjNnRuiCvUxBbcLkoZzTbTzxT5XNKGQMtNVOU410c4XqUcWqUealno0RF1oLjCUKOFwVVESbpuWiXcymSSRSBQ94W5phNTW1gJgGEZRDBCb1kaI1+slHi+eQWgj9Ugj9ZD0VYKDBEf/awXBcKjUoWzWaF6LQRNjuGSRwxaDS4et9k05rrleqXPqO6c6e1BJWeMJeTho0UGySqqAaLpG/wP6EwqGcPtL94RG3qmVAW4Nwn6BYSkYlkK4iAm3jZ14C6GQNBQ8WnENEJuALvBogqShIIRSVAPERuqRReqRxtbDEgpJQ0X3eoqacNtUVFSg6zrxeBwhREkSbo/HQ3V1NalUilQqRXV1ddEMEBvbCBFCEI/H0XVd6iH1KAs9JH2HppUa/zxiayLflzqSzRvND7tdVodHrui+xeDxw75XRx3XvHlDM/eMuYfmDc3OHlhStiTrkzx/2PNS8wKiBTUm3jyRo/5yFJ5gce8fWyLv1soAS6SnZ9lE4wpWCRYZaE5kY0iZkDKKH0PKSJ+7vZiKhdQji9QjS8trTyZTJJNtm8AXGrsCxCYajRY9BsuyMtOkIF2ZYjndZT4PWl57IpGQemxC6lFaPSR9B8Vj4PLSd6bu9VHiG1X+NW1rmjeUOhJJsWjeAH85sMpxzRVNITA4gKIV/15UUiJc4O3vlZoXkHhtnKd2for5gflE15XuvkmaUiXGEul+NYYFVQGLqoCFYaW3FTPxjsYVoon0FLGakIWmpnv5FNMISRnpc2oq1IQsAl5BNKHkGBKFRuqRReqRJaOHblEdTKBpGrW1tUVNvFv2yBk8eDChUIhIJEJjY2PRYmjZRLt///7079+fVCpFXV1dUY2Qlj2LBg8ejNvtlnpIPUquh6RvEegPUxetIDio1JFs3mg+i+FHNOKWlVJbDG4/bDs97rjmekjnxJdORA/JqVxbCp4KD/s/vL/UvIBofo2tj92anWbuhDsop+8BYJomV111FSNHjsTn8zFq1Ciuu+46hMhmn0II5syZw+DBg/H5fEyePJkvvviiy2MvWLCAESNGoOs6e+65J2+99VbO6/F4nJ///OdUV1cTDAY55phjWLt2rePX2JKWCbfdI8fuoVPMxLulARLQRWaqUjGNkJYGiD1FLKCLohohUo8sUo8sOXp4LVQF+lWFipp4t9e0uaKioqiJd3urutk9jYpphLRuom1PHZN6SD1KqYek79H4vcaTU4ZT/12pI9m80XTY6dyNaDKn3GLQdNj9wmbHNY/Vxli41UJitTFnDywpWxIbEjyz3zNS8wKi+TV2mbMLh9x2CB5/6abvlVWj8z/84Q/ccccdPPDAA4wbN47//ve/zJw5k3A4zAUXXADA9ddfzy233MIDDzzAyJEjueqqq5gyZQqffPIJut7+p99jjz3G7NmzWbhwIXvuuSfz589nypQpLF++nAEDBgBw0UUXsXjxYh5//HHC4TCzZs3iJz/5Ca+99lq3rsHlAsuMYaY6T9qFgIa4jmmphPQ4qrAwN62IqgIVHpVIXGdjo0VYj6MUyAOIJd3Ekh78niS6K5WJAaDCk45xY1M6RrerMAlOykxfq0u1qPDEEQbYM8Z0F1iam6ZmD5aZxO/Jb9nY7iL1yCL1yNJaDytloShqh6uOFYLOVhFrb9WxQtCeAWLT3ipwherj09GqblIPqUcp9ZAUlp228ZCq/xjT5exqq6pl4gnXYMQ/IV5XgvnxPWHT9NS44S1xIPkTXyN47uwDmHr/G+j9CnPP0G3KbRyFwIyke+bEUz4KdlPTEQ6PR3yDm8Uz92bqfcs61twyIFUPRhyU/KozVI/KwAkDUT1lVVPRI6ykxZqX1zBi6xFonrJKx8sKxa1QuWPlZqF5uRJfH+fZSc+ioHD2irMJDgqWJI6y+l/w+uuvM23aNKZOnQrAiBEj+Mtf/pKpahJCMH/+fH7zm98wbdo0AB588EEGDhzIokWLOPHEE9s97k033cRZZ53FzJkzAVi4cCGLFy/m3nvv5YorrqChoYF77rmHRx55hIMPPhiA++67jx122IE33niDvfbaK+9rEAIURUPpJAmwBETibkyhEvYncbtcQO7NlkeFsGrQ0OwhkvAT8qUcbzAdS7iIpTQCXgO/FyD3S0EBwn6TSLNKJOEn7EvidjlbmpIyFSIJD5rLIuQzUdv5YgrooCgm0aQXRXHh9zq7dKzUI4vUI0u7erRYtrgYiXc+y9oXOvHuzACxKYYR0pEBYiP1yCL1yCKNqb7PhkYL1VOJS3P2ljUwqJkjHnoPn78PvSfMtHHh8vpKHEj+aOFmxpy0Em91EFfpHsLnUmbjKAyLuvfSn1FbHzwYRStyAu7weHirYdzP1nauuZUCkYBU/vexekjnx0/+2JEYS028Ls5b573FrkftSsVWfegzqMh4KjzstXAvOX2vgGgVGtudux3V/apLusphWZlS++yzD3fddReff/452223He+//z6vvvoqN910EwDffPMNa9asYfLkyZm/CYfD7LnnnixbtqxdUyqZTPLOO+9w5ZVXZrapqsrkyZNZtmwZAO+88w6pVCrnuNtvvz1bb701y5Yt65YpZVmgqB5UV/tDawlojCqYAqoCArfW8VMJrwuqVKiPaTTGNUdXPovGFWIphaAuCOhuWhsgNipQGUxPlYrE9cw0KidIGRCJK7hdEA4oqErHT0GDflBUhWjCi6I6txKd1COL1CNLR3oIYSKs7FO/Qibe+STcNoVKvPMxQGwKaYR0ZYDYSD2ySD2ySGOqb7NyvUHUqMCtOOtorP7Kw1sXbs+Bd60kPKJvVEo1pja9z82+8x5uVlQG/7iBlCucs3BKKSm3cbQMi9j6EAAxI4yqFNeUcnw8XLDNiQlSdKK5lYRUPU0JAxdJvl1Zh6J8DZ5wh4eN18Z54YgXOPjfB6PX9D55/u670s3dXblyJZDObf3x8mi4Vsrx6Igv3/uST8/4lEOfPdQRzYtBOY5jZ6xcuxL/ND8Dhg/g2x++dfz4+bZQKKtauCuuuIITTzyR7bffHrfbza677sqFF17IySefDMCaNWsAGDhwYM7fDRw4MPNaa2prazFNs9O/WbNmDR6Ph8rKyryPC+kVhiKRSM5PZ7TXI6crCtFDp3XPoq4oRE+j9noWdYXTPY2kHlmkHlm6rUcBeuh0J+G2cbqHTncMEJtC9DTK1wCxkXpkkXpkkT2mJK3RKgT6wCTeYN8wpPoq8Q0aLxyzI811ZZVySApIc53Kk4cPd1xzTdcYeOBANL2saiokBUTxKoT2DEnNC0iyNsn/Dv0fi7ZbRPPa5pLFUVYK//Wvf+Xhhx/mkUceYdy4cbz33ntceOGFDBkyhBkzZpQ6vDbMmzePa6+9Nmfb7676ebv79iThtrET7/qYQkNU6VVFSHcTbhvbCGmIKtTHlF5V6PTEALGxY44mlJzfu4vUI4vUI0uP9XCwIqQnCbeNUxUhPTFAbJys0OmuAWIj9cgi9cgiK6b6LqFQCHcB+pJNeWg1oXDI8eMWmr4UszEIdrmgjuohwbJrdl4u42gls+VEoVAFqsfZ/mn54tR4+L2w5+WxzjU3E6D6Nk3jE4wYWo179Dbgqer02Nv/Y3tHYmzJ6NGjHT9mV8RWx/iYjxk5cmTZTd8rxXh0xqjbR5VdTPnQV2I24gauOS5qamrYYcIOjhuAXRXt2JTVY4tLL700Uy2100478bOf/YyLLrqIefPmATBoUHrd3tar4q1duzbzWmtqampwuVyd/s2gQYNIJpPU19fnfVyAK6+8koaGhszP999/3+5+vUm4bZyoCOlpwm3jRIVObwwQm95W6Eg9skg9svRaDwcqQnqTcNv0tiKkNwaIjRMVOj01QGykHlmkHllkxZTEpuFbjScPG87Gr0sdyeaN5oERU5vKzpCSFA5Nh+2mJxzXPLouyp8q/kR0XdTZA0vKlnhtnKd2eUpqXkA0XWObU7Zht1m7lbQiraxMqVgs1uYm0+VyZW6gR44cyaBBg1i6dGnm9Ugkwptvvsnee+/d7jE9Hg8TJkzI+RvLsli6dGnmbyZMmIDb7c7ZZ/ny5axYsaLD4wJ4vV5CoVDOT2ucSLhtepN49zbhtumNEeKEAWLTUyNE6pFF6pHFMT16kXg7kXDb9DTxdsIAsemNEdJbA8RG6pFF6pFFGlMSAG+lQWh0Al+/UkeyeRNbr/LkYcOJru16X8nmQXQtPLRnleOau4Nudj5rZ9zB/Fbrk/R9NL/GiBNGSM0LSGx1jEXbLuJG5UYafyjdPVFZmVJHH300v/vd71i8eDHffvst//jHP7jpppv48Y/TKy0oisKFF17Ib3/7W/75z3/y4YcfcuqppzJkyBCmT5+eOc4hhxzCbbfdlvl99uzZ3H333TzwwAN8+umnnHfeeUSj0cxqfOFwmDPOOIPZs2fz4osv8s477zBz5kz23nvvbjU5b42TCbdNTxJvpxJum54YIU4aIDbdNUKkHlmkHlkc16MHibeTCbdNdxNvJw0Qm54YIU4ZIDZSjyxSjyzSmJLolXDQ7WvQK0sdyeaNHraYeM06vJ3PypJsRnir4MDrmxzX3OP3cNBNB+Hxl8syjpJCo/k1dvrVTlLzAqJX6+xxyx4c/dej8Q0o3YqkZdVT6tZbb+Wqq67i/PPPZ926dQwZMoRzzjmHOXPmZPa57LLLiEajnH322dTX17PffvvxzDPPoOvZGtGvvvqK2trazO8nnHAC69evZ86cOaxZs4bx48fzzDPP5DQ/v/nmm1FVlWOOOYZEIsGUKVO4/fbbu30NqgrCSmIYBpFmN4alEvYlcSkCy6FVR1wKhHSFhmYP9U0WIV+qQ1MhlnARTWoEPAY+t+lYDAAVOkSa3WyMpq/R7Wo/oU+Z6Vg11aRCT4EFvW+3m8bnBmG5aIprCMvA723/Ai2B1GMTUo8s3dZD5Bdkd3roFCLhtsm3h04hDBCb7vQ0ctoAsZF6ZJF6ZJE9pnJZsGABN9xwA2vWrGGXXXbh1ltvZeLEie3ue+CBB/Kf//ynzfYjjzySxYsXA3DaaafxwAMP5Lw+ZcoUnnnmmW7FNbS/hhlbCUlnb1nrPxP854JdmHLXcqpGJRw9dsFIpJvQppoaShxI/qiimcETQCR9pHq/zoEzlNk4CsPC3z/9OWTEfkBJFrlmoADjMWgCiCQda26lIFEPVizvYzataeLuEXdz1rdnERwUdCROSXkTXx9nyYFLOPu7s6XmBUL1qAw9YmjJe2CVlSlVUVHB/PnzmT9/fof7KIrC3LlzmTt3bof7fPvtt222zZo1i1mzZnX4N7qus2DBAhYsWNCdkNuJDyzLoCnmw7QgpMfQFAvhVNa/CU2BkNcgEtdpiLkI63GUVol3LOkmlnTh9yTwuVOOx6AAIW+KhrhOQ0wjpMdxu3JPkjJVInEdl2oQ8sZRBAgHVkhric+dQgg30YQHIUz8nlTO60JAQ1yXeiD1aEmP9BAWSp5LNeeTeBcy4bbpKvEupAFik48RUigDxEbqkUXqkaW1Hi5XaRoMl5rHHnuM2bNns3DhQvbcc0/mz5/PlClTWL58OQMGDGiz/9///vecKre6ujp22WUXjjvuuJz9Dj/8cO67777M716vt9ux9atQsZL1YDqrjV5lUrNzLZ7KtZgJh78IC4WRNs/MRLzEgeRPbI3gubMOYuqDr+OvKRNXqszGUZgWnop0LGZyI4pZZFPK4fGI1XpYfOo+nWtuGWA0g5UAJb+pWXqlzl5X7YVeKRuUbSloFRpjZo2RmheQ2OoYSw5YAsA5359Tssb7ZWVKbQ6YJkRTFQhFpSoocGuBgp3L5QaXBvUxjcakJ2caVjSu0GwoBH2CgK4DhfvPXOVOT5VqTAZzpmGlDGhMKrg1e4pY4eYDV7hBdSlEE35UV3YaliUgElWwQOoh9ei1HkKYCCvV9Y6b6CzxLkbCbdOREVIMA8SmMyOk0AaIjdQji9QjS0s9emKabA7cdNNNnHXWWZm2BgsXLmTx4sXce++9XHHFFW3279cvtxHTo48+it/vb2NKeb3eTheMyYcPv06y+6Rxjq++l9Qi7HtjlFB4J0ePW0iSDenPDL1MVo3LB50IB9yyispR26OWSdZRbuNoJU3qv/4IgK0m7Vj01fecHg9PGA6/t75zzc0ENH1N0oyAyK9SUdM19v51x71+JZsfmq4x5rwxJW3Avbmj99fZ/7H92WrYVgQGFS4v64qy6im1OWApbgyhONYjpyva66HjdI+crmivp1EhehZ1ReueRoXoWdQVUo8sUo807fXQKWbCbdO6h04xDRCb9noaFcsAsZF6ZJF6ZLH1iEa3vBV+kskk77zzDpMnT85sU1WVyZMns2zZsryOcc8993DiiScSCOTe0L700ksMGDCAMWPGcN5551FXV+do7L1h4xfp1ffqPit1JJs5KnirDZlxdIGiqSjuzWSQVPDXWI5r3rSqiT+6/kjTqiZnDywpW5rXNrNozCKpeSFRwTvQS3BosKSf09J2dByFCq+JWyveUw478a6PKdRG0u+mYiXcNrYR0hBV2BhNx+B2iaIZIDb2NUcTaeNBUUTRDBAbqUcWqUealhUh69evB9KGQLESbpuWFSGRSARFUYpmgNi0rNBZvXo1QNEMEBupRxapR5aKigoSiT7SW8hBamtrMU0zp88mwMCBA/nss64dm7feeouPPvqIe+65J2f74Ycfzk9+8hNGjhzJV199xa9+9SuOOOIIli1b1uE0yUQikaOBXU1YCHyDDYYe3ERgcMFOIQHidSrPnbw1P/nnBgIDu95/S0T1uBh+7PDMv/s6zevh7z/q57jmej+dyXdMRu/X96dy+Qf7mf7F9JJNleoruMNuxs8dv1loXq7E18Z5/sDngdJO39tMLPlyQnTYYLqQuDVwt/ge83mLH4OqkJPoB/TiGiA2La/d7aKoBkjmvFKPDFKPNKqqEgplS+NDoVBRE26blpUMXq+3qAaIjcfjyZkm1bq6ohhIPbJIPbK0XDRFkh/33HMPO+20U5um6CeeeCI/+tGP2GmnnZg+fTr/+te/ePvtt3nppZc6PNa8efMIh8OZn2HDhhUsbj0Iu19Rhx4u2CkkgF5tcejDK/D1L3UkkmLh6w8/+ecGxzXXdI1dzt5FTuXagtB0jREnjJCaFxB9oM7klyZz1ndnERgip+9tRqg0F3vVDNJTkpKGgkcTKIrITFUqJikDGmIKmirQVEHDpqljxcSeIqYoAo8mSBrpqWPFRuqRRuqRJZlMUldXh9vtxu12U1dXl9MouBjYU8QURUHXdeLxOI2NjUWNAdI9i+LxOLquoyhKZupYMZF6ZJF6pLEsq6CVOeVKTU0NLpeLtWvX5mxfu3Ztl/2gotEojz76KGeccUaX59lmm22oqanhyy+/7HCfK6+8koaGhszP999/n99F9IANn6Wn763/uGCnkABYkKjTnFvmV1L+WBCrVR3XvPGHRm5UbqTxh+J/T0pKQ2x1jEXbLpKaFxILEmsTNK1sKunntDSlHEbBIJZSi5p4t+yRUxkQbXroFIOWPYsqg4LKYG5Po2LQumdRZSC3p1GxkHqkkXpkadkjp6amhpqampweOsWgdc+i6urqnJ5GxaJlz6Lq6uo2PY2KgdQji9Qjja2HaZpFOV854fF4mDBhAkuXLs1ssyyLpUuXsvfenTcVfvzxx0kkEpxyyildnueHH36grq6OwYM7ni/n9XoJhUI5P4UitJXB6BPrqRhesFNIgPhGlZcvGEJz+bQTkxSY5jp45vRKxzX3DfAxbdE0fAN8zh5YUrbo1ToT75goNS8g8fVxXjnhFf6yz1+IrildX01ZC+cwCiY+t0FT3I1AEPAW9qY+mkgbYAHdxO+1EAI0F4T90BB1UR+FsN8s6LStlJk+l8slCPlN7FOF/NAQ2xRDwMyZPuU0lkifyzQF4YCJ5gIhwO8FgUpTXJV6SD16rYcQZvpCukFHTZs7WnWsEHTURLujVeAKRXtNtDtbBa4QSD2ySD3StNQjHN4y53LNnj2bGTNmsPvuuzNx4kTmz59PNBrNrMZ36qmnMnToUObNm5fzd/fccw/Tp0+nuro6Z3tTUxPXXnstxxxzDIMGDeKrr77isssuY/To0UyZMqVbsfm9CpYRw1LyX/k0HzRfM+NmNOPxBunGoqqlxWwGwEr1nb5D/n5Rpv37U3wVZTTO5TiOpYzJ4XP7+sHJr0Y3HbODnawkmEkQBvmWZ2gejW2nbetIjJK+gepRGTJ5CJpHWhaFwu5vNnr06JLGIRV2GJcKuqsJFx6izV6EkcDvKcyT3ljSQyzlxe9uxqcmcz74XUCFRyWS8FPfaBHWYygFMEJSZvocLiVJyB0DI/erJeSGBtNPfZNKyBvD7XLehBACGuJ+TCEIeWO4LIuWD/h9KghN6gFSD5se6yEE3VnTurNVxFo2dy5k4t3Vqm7FMkI6W9WtWEaI1COL1CNNaz0Mo8hznMuEE044gfXr1zNnzhzWrFnD+PHjeeaZZzLNz1esWNHmPbB8+XJeffVVlixZ0uZ4LpeLDz74gAceeID6+nqGDBnCYYcdxnXXXZfTvywfxo70YEQ+w3L4PbjhEx+vXD6Jg/74KtXb9ZGVnZLpL7KE4S5xIPljRVOsfXcAW+35HWrxW+a1TzmOYyljcvjcVhJWvzuAwbut61hzYUKqEYwk+b4xGn9o5M5hd5a0GbOkuMRWx1hywBKpeQGxkharl67GHGQyatqokhmA0pRyGNMCRfUT1F0oCZVoPICi+RyvCIkmVGKGSsBnEfB6gbY3eV43VLqhIeohkvI4XqGTMqGx2YWm2dUm7X9YVLrTVTONyZDjFTqWgEjMhQVUBk3crvYbtAXdSD02IfVI0xM9hDDBym96Tz7L2hc68e7KALEptBHSmQFiU2gjROqRReqRpj09tlRTCmDWrFnMmjWr3dfaa04+ZswYRAeVoz6fj2effdaRuD75Jsm4PbbH7XY2WQ9t18T4i1YyYJfhaH2kv32qMW2eeSuCJY4kfxo2xnnr+tEM/fsqvFXl0ViqHMexlDE5fe7YOpVlvxvCjzvT3EpCdAUpqwnIr4QuMCjAyW+dTGBQ6ZoxS4qL3l9n0hOTpOYFJF4X5+0L3gZKu/qeNKWcRoCiqCiKi6AOChBNuFBQHVuCPhpXiCUUgrogoCuk6z7ax6NBZSDdSygS0wgHnFmBLdNE28WmY3Ycg0tJx9AQVWiIaVT6hSMrsKUNEAXTgsqAwK117q5IPdJIPbL0RA+hdH1TnU/CbVOoxDtfA8SmUEZIPgaITaGMEKlHFqlHmu7qISkdsYRA1fyoboc18ppUjBSovkB3CmBLiyv9UER1950EzT/IZNqS7wiGC9cfrNuU4ziWMiaHzx0cCj97cyPQSR8gUwOXBxQtXTWVDyoEBwdlR+QtCRW8A7xS8wJSLtP3pMQFJqA729y5ZdPmfJN4t4ajzZ1bNtHO11RRlfS+TjXbbt1EO19TReqRRuqRxWk9upNw29iJt1PNnXuacFdUVDjabLs7BoiNbYQ41Wxb6pFF6pFGGlISgMiXGq9csBUbl5c6ks0bIwnfLg5ixEsdiaRYGHH4fJHXcc2jq6LcOexOoqtK14xZUlzia+MsOWCJ1LyAGHGDr//f17x727sY8dJVi0tTqgg4lXj3JOG2cSrx7okBYuOUEdJTA8RG6pFG6pHFKT16knDbOJV49zbhdsoI6YkBYuOUESL1yCL1SCMNKYlNaLTB/rf8QNWYUkeyeZNqVHn/1mqSckX3LYZkI7z1B7/jmgeGBDjn+3MIDCmjCjdJQdEH6hz28mFS8wKSakjxwXUf8MIFLxDfULqnB9KUKhK9Tbx7k3Db9Dbx7o0BYtNbI6S3BoiN1CON1CNLb/XoTcJt09vE26mEu7dGSG8MEJveGiFSjyxSjzTSkJLkYEDjtx7YctuIFQVftcW0Z77D37/UkUiKhb8/nLJso/OaW9C0uinfxfokmwMWJNYlpOYFxDfQx/Tl07nEuoTgkNL12ZOmVBHpaeLtRMJt09PE2wkDxKanRohTBoiN1CON1CNLT/VwIuG26Wni7XTC3VMjxAkDxKanRojUI4vUI400pCStiXyr8d5NA9j4Vakj2bwxkvD5IyE5fa8TrKTJd098x3d/+w4rmWd/pTLGiMOH9+nOT99bE+XhiQ8TXdP3p3LFVsdYtO0iGn+QJYSdEV8f5z/H/mez0LxcMeIGn97yKa9f87qcvrcl0d3E28mE26a7ibeTBohNd40Qpw0QG6lHGqlHlu7q4WTCbdPdxLtQCXd3jRAnDRCb7hohUo8sUo800pCStEe/7Q2mLfmW/uNKHcnmjdGksvzhSpIyp+wUYViI1OZRDpKMwgf3+BzXvGKrCi4Rl5RsdTBJ8bGbcEvNC4fRaPD5ws954/dvEK8v3dODvrLeSJ/B5QLLjGGmOk6odRdYmpumZg+WmcTvaX8p1FjSTSzpwe9JortSmPmtmJoXKlDhUYnEdTY2WoT1OEo7IafM9D4u1aLCE0cY4OQznAoPNMR1NjaphPQ4blfbL2Qh0vuYVnofVViOjoXUI4vUI02HeggLRckm1YVIuDMx5LnqWKET7nxXgSuEAWKT7ypwUo8sUo800pDq++y0jYdU/ceYrs5XdO0uxsYEy/82mp1O/ACtdDMWukciAUDc8JY4kPzRvQmO/uunqHiJ15U6mk2U2TgK06Jym/UAJOo/RHEVuWbA4fFQgWOeTP+7Q80tA1L16bIqxZ3XcY2kwTf//oaRR4xE88gUdkvASlqseXkNI7YeITUvEHp/nWmfTCv56ntSXYcRAhRFQ+ni5jugg6KYRJNeFMWF35trLcQSLmIpjYDXwO8FyO8Duzt4VAirBg3NHiIJPyFfKqfqJmUqRBIeNJdFyGei5vml0R0UIOw3iTSrRBJ+wr4kble2NMUSEIm7MYVK2J/E7XIBzt6YgtTDRuqRpX09snEUMuG26SrxLlbC3ZURUkgDxKYrI0TqkUXqkUYaUpsHGxotVE8lLs3ZW9bIGvjy79sw4hCDmuo+MrfMbAbA5fWVOJD8MaIJPv1/W7Hb2evR9FJHs4kyG0dhWCQ3Vb+6PFUoWpFNKYfHw4jDB/cNZueZqzvW3EqBSEAq/yr35nXNPDn9Sc75/hxZObOFEK+L89Z5b7HrUbtKzQuEETP4+MaP+S70Hftfvz8ef2nulaQp5TCWBYrqQXV1PbRBPyiqQjThRVGz04+icYVYSiGoCwK6m0Ik3DZeF1SpUB/TaIxrmelgKQMicQW3C8IBBVVx3niwUYHKYHqqVCSuZ6aDWQIaowqmgKqAwK0V9omW1CON1CNLaz1CfgNFpEgmU2yo31jQhNumo8S72Al3R0ZIMQwQm46MkGIYIDZSjyxSD0kxWLnewOUfitthDfvtFGHaku8IhftOB+5mM/3/3R0MlTiS/DFqm/huySB2O1fHXSYVaeU2jlbSJLa+HgDNvxWqp3D3eO3h9HgYSfh6cRU7n6F1rLmZAJGgOaGmzak8sKfvSbYc5PS9wmPEDFY8sYLvle/Za85eJTOlZE+pEtO6h04heuR0ReseOskC9CzqitY9jZJGYXoWdYXUI43UI0uOHjEXSUNlw8aGoiTcNq176CQSiZIk3K17GhXTALFp3dMokUgUzQCxkXpkkXpI+irxJvjv/1UTbyh1JJs3epXFUU+uwNev1JFIioWvH5z00kbHNTfiBu/f9X5JmzFLiosRN/j2sW+l5gVEr9E5+oOjuTB6IYEBgZLFIU2pMiAn8S5ywm1jJ94pU6E+quJSimeA2NhGiEuB+qhKylSKaoDYSD3SSD2yZPQwFBqa3bhcrqIl3DZ24q1pWqa5cykS7pZGSLENEBvbCLErcjRNk3pIPcpCD0nfoXm1xsoXgkRXlzqSzRsjBu9eX00yVupIJMUiGYPXrg04rnl8Q5znz3ue+IY+Mt1W0mtSDSnem/Oe1LyAGE0Gb130Fv866V8km/Jb0bgQSFNKIpFIJBKJRLJFUbWtwbQl31G9fakj2bwxEipr3vJjypxyi8GMww+vuR3XPDgkyMXmxQSHlMk8UEnB8Q30MX35dKl5ATHiButfXs83z35DKubgqlHdRJpSZUDOlKQWU5WKSWrTFDG3S1AZsDBFerqWVcSCFGvTOU0BlQELt0tQH1NIFbliU+qRRuqRJaOHJgj7UpimSV1dHZZVvOWb7R45hmFkKkDsipBi0nKKWMupY8XErsixK3QMw5B6SD3KQg9J3yHeBK9dPkBO3yswepXFkU98L6fvbUH4+sEJS+oLMn1v2e+WyalcWxBG3GD5Hcul5gVEr9GZ+s5UfrHhF3L63pZM6x45rXvoFINUq55FnlY9jYphhNgGiN2zyKPl9jQqlhEi9Ugj9ciSo4ffxKNZ9KsKZ3roFCPxbt202ev15vTQKVbi3bpnUeueRsWgdRNtr9eb09NI6iH1KJUekr5FfJ1G7f98xNaVOpLNm2QU3pgzgGRTqSORFItkE7x4SdBxzeP1cd647g3i9bLsbkvBaDRYfttyqXkBSTYmef2M1/nbEX8jHindOMvV9xxGVUFYSSyz66w9lnARTWoEPAY+t4m1abV5nxuE5aIpriEsA7/X7PxAvSBlKjQ0e9BUkwo9BRZYgEuBkJ5+rb7JIuRLFayfkSUg0uzGsFTCviQuRWTGokJPv7Yxmn7N7SqcIyP1SCP1yNJaD2VTEB6Pu91VxwpBR6uIdbTqWKHoqIl2R6vAFYKOVnXraBW4QiD1yCL1kBSDof01zNhKSDp7y1o5tJlpT/2Az+8j1VcMk0QzAKmmvlPeJaIpGr4YTKJ+JQrFq57slDIbR2FY+PunP7ON2A8oySLXDDg8Hol6lbpPx3SuuZWCRD1Y+TeeCg4KclH8IkdilPQN9P46P/r4RwQHyel7hUKkBA2fNtDkasJKlu4zWppSDqMoIISBsDp3DGJJN7GkC78ngc+dQrR6D/jcKYRwE014EMLE73F+jmfKVInEdVyqQcgbRxEgWngMmgIhr0EkrtMQcxHW4ygOGyFCQENcx7QgpMfQFCtnLBQg5E3RENdpiGmE9Dhul/P/YaQeaaQeWdrXw0JRipd4d7WsfbES765WdSuGEdKRAWIj9cgi9UgjjanNg34VKlayHkyXo8eN15osu24Ck377EXplH5kaYiQAMBN9p2rAG0gw5c8v4fZ6MROljmYT5TaOQlA93g2AZdSDWdwWBU6Ph9sHRz34+qZjdrCTZYDRDFYCFHdex03Gkrz2m9fY97f7lmzZeqfQq3Um3jER3wBfqUMpa4yYwafzP2Xr27bu85qXK95+Xo54/QhGjx5d0jikKeUwpgmqy4+rkyXKonGFZkMh6BMEdB3Q292vwg2qSyGa8KO6nF1xLGVAY1LBrdmrurX/heByg0uD+phGY9Lj6ApwloBINP0MpSoocGsdz2OtcqenkzUmg46vACf1SCP1yNKRHkKYCCtrgBUy8e4q4bYpdOLdlQFiU0gjpCsDxEbqkUXqkUYaU32fD79Osvukcbgd1m39DzEiX4cRylj0akcPXTCSDen/z3o4VOJI8qdpVYS35gxi8vwYnjIpdijHcUy6SxeT0+ORnr5XwUE3NnasuZmApq9JmhEQ+bmVqaYUH9z9AROvmNjnDQrVozJk8hA0j0zFO8OIGXz72Lek/i/V5zUvV5KNSZadtYy39Lf4ydM/QQ+1n3cVGtlTqsi07pHTFYXoodO6Z1FXpoa7AD2NWvcs6srUUJXC9DSSeqSRemTprh524u1kD518E24bO/F2uodOvgaITSF6GuVrgNhIPbJIPdIUSg9J3yY8Ir36XtU2pY5kM8dUiW9UM1PwJZs/lgnxOsVxzQMDAvyy8ZclbcYsKS56jc7R7x8tNS8kJiTWJ4iuiSKMIq6o1QppShWR7ibcNk4m3t1NuG2cNEK6a4DYOG2ESD3SSD2y9FQPJxPv7ibcNk4n3t01QGycNEK6a4DYSD2ySD3SSGNK0pp4LTx36lCitaWOZPPGE7KYfO8q9HCpI5EUCz0M0x6POK55sinJ0zOeJtkkP7+3FIwmg3cufUdqXkA8lR4OW3oYZ315Fr5+pZtOKk2pItHThNvGicS7pwm3jRNGSE8NEBunjBCpRxqpR5be6uFE4t3ThNvGqcS7pwaIjRNGSE8NEBupRxapRxppTElakmjSiK3RSEZKHcnmTbJJ4aXzB8tx3oJIRmDxqSHHNU/FUny9+GtSMef7iErKEyNusPaltVLzApKMJFl61FLu3+X+kq5yKE2pItDbhNumN4l3bxNum94YIb01QGx6a4RIPdJIPbI4pUdvEu/eJtw2vU28e2uA2PTGCOmtAWIj9cgi9UgjjSmJjZy+J5H0LQIDAsyqnSWncm1B6DU6R759pNR8C0CaUgXGqYTbpieJt1MJt01PjBCnDBCbnhohUo80Uo8sTuvRk8TbqYTbpqeJt1MGiE1PjBCnDBAbqUcWqUcaaUxJAKLr4d8nbEXTmlJHsnnjCQoOvH01nvLpKS4pMJ4QTH0w4rjm8Uicf0z7B/FImayaKCk4ycYkb5z7htS8gHhCHg751yGc9v5p6JWlaXIOcvU951HSy8YLYRJNqETjCgHdxO+1EA71DvN7QaDSFFcRCALejm/qUyY0RF24XIKQ30QBR+LQXBD2p49dH4Ww3+wwmbcENMRcmKYgHDDRXM7EoAAhf/rY9VEIB0zcnawYLfVII/XI0l09hDDzGqzurDrmdMJt091Vx5w2QGy6swqc0waIjdQji9QjjVyVr+/g9ypYRgxLcXb6hhVNkax3kWxKYDm1WkehMZsBsFKdfLmWGcmNCV6ePYLD716PHipdE90cynEcSxmTw+eORxSWnDOQw+5c27HmVhLMJAgDyK9q1kparH1nLVay9wtmSPoGIiWo/6heal5AkvVJXjrmJV50v8gpb51Ssr5S0pRyGJcKworRFPUQS3nxu5vxqUksh6fC+lQQmodosxdhJPB72j7pTZkqkYQfl5Ik5I6Bke/Hfn64gApP+hz1jRZhPYbSyggRAhrifkwhCHljuCwLBxZfyiHkhgbTT32TSsgbw+1qe4JYUuoBUo+W9EgPIUDN72Mzn8S7UAm3Tb6Jd6EMEJt8jJBCGSA2Uo8sUo807ekhKT/GjvRgRD7Dcvg9WFGdYtoTn+H2uElsdPTQhSOZ/rJMGO4SB9INkgI9XE2q8RMUs0wSy3Icx1LG5PC5UzEVb9jfuebChFQjGElQ8/ts99f4OfeHcx2JUdI38Pbzcvirh+Ov8Zc6lM0XF3j7e/HpPhTNmZXMe4I0pRzGtCBuBkkYbgI+i4DXC3gLcq6gG5SESjQeQNF8ORUhKRMam11oml0143xiA+B1Q6UbGqIeIilPToWOJSASc2EBlUETt6tw84Er3ekKncZkqE2FTjShEjNUqYfUI/NaT/UQwqQ7axx3lngXOuG26coIKbQBYtOZEVJoA8RG6pFF6pGmtR7BYLAg55H0nE++STJuj+1xu51N1uu/jvPSudsw9aFVBAc6euiCkWpsAsBb0Xfepymtif3+uJ5gxQ6lDiVDOY5jKWNy+tzeKpiyMAp0ormVhOgKUlYTkN+TyXgkzqIfLWL6P6ejh0o3zUhSPJKNSd489022em4rqXmB8FR4mPToJEaPHl3SOKQp5TACF80pjZAPArpCun6lcAT19LSpaMKFgkpAF6QMaIgp6SldAYGqFDYGjwaVgXRfnkhMIxxIl+pGYgqmBZUBgVsrbAwuJR1DQ1ShIaZl+iRF4wqxhEJQF1IPqYcjegile09620u8gaIk3DYdGSHFMkBs2jNCimWA2Eg9skg90rTUo6GhoaDnknSfWEKgan5Ut7PvA2EqmAkFRAC1jApmOsWVfiiiuvtO099Ek+Cl84Zw9MMR9MpSR7OJchzHUsbk8Lnj9fCvUyo56v/Vd6y5qYHLA4qWrprKA2EIoqujCKNMpoFKCo8JifUJqXkBSWxI8MJRL+ByuTjtw9NKVpUmTSmHEWj43RYBvXg95O0G0dGEQspMV4E41bQ5X+xm2/Uxhfqm9ElN4UwT7Xyxm203RBXqYwpuFyQN55po54vUI43UI0vLxLu2thYAwzCK2semtRHi9XqJx+NFM0BsWhohyWSSRCJRNAPERuqRReqRxtZjzRrZ9XpLITjU4Ef/XkEoLDtwFxJFswiPTuY7832LxEpZrHkx/dkTnBpEdfftdahUDaq3NxzX3NfPxxnLz3D2oCUiXhvnhSNe4IzlZ8iV5TrBU+lh8pLJJetztCWguBXCO4QJ+AOontJ99vTtT72yxMLnKf6c+YAu8GiCpKEghFLUhNvGrUHYLzAsBcNSCBfRALGxjRAhFJKGgkcrrgFiI/VII/XI4vF4qK6uJpVKkUqlqK6uLnpjZTvxFkIQj8fRdb2oBohNRUUFuq4Tj8cRQhTVALGRemSReqRRVZVQSBoUWwpNaxSeOmprmlaVOpLNG08A9pq7Dk/5zJQrP4QgvraZ+NpmZ1aeKTGeIBx0Y5Pjmsfr4zw44UHi9X1/JTYrZZGsT8oG3l2QjCR5cfqLm4Xm5YqnwsM+9+zDMf8+pqRTJKUp5TgKKbP4TcJSRroCxKY5UfwYLJGenmUTjStYJfhubXntKTM9NsVG6pFF6pHGsqzMNClIV6ZYTneZz4NoNJr5dyKRIJls2wS+0NgVOe3FVCykHlmkHlnicXnjK5E4SXyjytPHDqN5Q6kjkRSL5g3w2GGVUnOJpA8Qr42zeMJibu13K9F1xb//s5GmlOMIGhOuoibeKSPdP0hToSZkEfAKogklx5AoNJZI9w8yLKgKWFQFLAwrva2YRkg0rhBNpKeI1YQsNDU9NlIPqUdJ9WjRtLl///7079+fVCpFXV1dURPvlj2LBg8ejNvtpra2tqhGSMueRYMHDyYUChGJRGhsbCxaDFKPLFKPLI2NjSUx5CSlIThIcPS/VhAcUupINm80r8WgiTFcskfxFoNLh632TTmuuV6pc+o7p6JXyjfTloIn5OGgRQdJzQuIpmv0P6A/I6eMxO0vXYNFaUo5jCpSaIooWuLdMuG2pyQFdFHUxLulAWL3LLJ7GhXTCGlpgAR0kZk6VkwjROqRReqRpr1VxOweOsVMvFs30banjhXTCGmviXZFRUVRjRCpRxapRxZbj0BA9vbYUmhaqfHPI7Ym8n2pI9m80fyw22V1eOSK7lsMHj/se3XUcc2bNzRzz5h7aN7Q7OyBJWVLsj7J84c9LzUvIFpQY+LNEznqL0fhCRa3bUJOHCU7cwesXLmSyy+/nH//+9/EYjFGjx7Nfffdx+677w6AEIKrr76au+++m/r6evbdd1/uuOMOtt12206Pu2DBAm644QbWrFnDLrvswq233srEiRMzr8fjcS6++GIeffRREokEU6ZM4fbbb2fgwO6tE+xyQcDdSMzwsbFJJaTHcbsKc0OdMlUicR2XalHhiSMMsGco6S6wNDdNzR4sM4nfk99yq91FCGiI65hW+lpVYWFuOpUKVHjSMW5stAjrcZQCeQCxpJtY0oPfk0R3pTIxAFR40jFKPaQevdZDWChK/l5+Z8vat7fqWKH6+HS0qltHq8AVgs5WdWtvFbhCIPXIIvXI0lIPl6uwK4JKus9O23hI1X+M6bA2imHi8g4kGfuEeF0J5pX3hE3TbOOGt8SB5E98rcXz5x3Akfe+gV5ZJuNcZuMoTIvKbdYDkKj/EMVV5JoBh8cjXq/x9Ol7da65ZUCqHow4KPlVZyiaQmBwAEUrfgsGSYlwgbe/V2peQOK1cZ47+DkUReGsb84qWeP9sjKlNm7cyL777stBBx3Ev//9b/r3788XX3xBVVVVZp/rr7+eW265hQceeICRI0dy1VVXMWXKFD755BN0vf3Svscee4zZs2ezcOFC9txzT+bPn8+UKVNYvnw5AwYMAOCiiy5i8eLFPP7444TDYWbNmsVPfvITXnvttW5dgxCgqhphv0mkWSWS8BP2JXG7nC1NSZkKkYQHzWUR8pmo7XygB3RQFJNo0ouiuPB781tyNV8sAZG4G1OohP1J3C4XkHvT6FEhrBo0NHuIJPyEfCnHG0zHEi5iKY2A18DvBcgdCwWkHpuQemTpkR55LlsMnSfcNsVIvDsyQGyKYYR0ZoDYFNoIkXpkkXpkaa1HLBZz9PiS3rOh0UL1VOLSnL1lDQxqZupj7+DzF39xgR5jpqsFXN6+sxKVFkwwfMo6vOEKXOXhAZXdOArDIrmpMtXlqULRimxKOTwe3jCMOmpD55pbKRAJSOV//6eHdE586URHYpT0DTwVHvZ/eP+SNuDe3NH8GlsfuzWVoUrcwdJN3ysrU+oPf/gDw4YN47777stsGzlyZObfQgjmz5/Pb37zG6ZNmwbAgw8+yMCBA1m0aBEnntj+B9VNN93EWWedxcyZMwFYuHAhixcv5t577+WKK66goaGBe+65h0ceeYSDDz4YgPvuu48ddtiBN954g7322ivva7AsUFQPmqZRGUxPlYrE9cw0KidIGRCJK7hdEA4oqErHTw+DflBUhWjCi6I6t/KZJaAxqmAKqAoI3FrHdxpeF1SpUB/TaIxrjq58Fo0rxFIKQV0Q0N20NkBsVJB6bELqkaW7eghhIqyuq6rySbhtCpl4d2WA2BTSCMnHALEplBEi9cgi9ciSrx6S0rJyvYHLPxS3w+bsum9jvHDmUI5+bCOVwx09dMFoNtP/F93BvrNKpGZG2OnnSXzhYaUOJUO5jaOVNImtrwdA82+F6iluxabT4+EOwp6XAnSiuZkAkaA5oabNqTyI1cZ4cPyDnPreqfhr5HzQLYHEhgQv/uhFTv/odKl5gdD8GrvM2YXRo0eXNI6y6in1z3/+k913353jjjuOAQMGsOuuu3L33XdnXv/mm29Ys2YNkydPzmwLh8PsueeeLFu2rN1jJpNJ3nnnnZy/UVWVyZMnZ/7mnXfeIZVK5eyz/fbbs/XWW3d43HwoRA+d9nrkdIXTPXTa61nUFYXoadS6Z1FXSD2ySD2yOK5HNxJum0L00Oluwl2InkbdMUBsnO5pJPXIIvXIIg0piaobeCpNOnmGI3GA+AaVp6ZuTayu1JFIikWsDh7er8pxzVWPysAJA1E9ZZW+SgqI4lao3LFSal5A4uvjPDn2SW7y3ETTmqaSxVFWCn/99deZ/lDPPvss5513HhdccAEPPPAAAGvWrAFo0+dp4MCBmddaU1tbi2manf7NmjVr8Hg8VFZW5n1cSC/fHYlEcn5a42Ti3ZOE28apxLsnBoiNk0ZIdw0QG6lHFqlHFsf06EHCbeNk4t3ThNtJI6QnBoiNU0aI1COL1COLNKQkAIH+cMRjPxAcVOpINm+0oMWYk+vxyDUEthg8Adj5jGbHNddDOj9+8sdyKtcWhKfCw14L95KaFxCtQmO7c7djr1/tVdJVDsvKlLIsi912243f//737Lrrrpx99tmcddZZLFy4sNShtcu8efMIh8OZn2HD2i9TdSLx7k3CbdPbxLs3BoiNE0ZITw0QG6lHFqlHll7r0YuE28aJxLu3CbcTRkhvDBCb3hohUo8sUo8s0pCS2DR8q/HkYcPZ+HWpI9m80Tyw3U8jaDKn3GLQdNhpZtxxzaProtxWcxvRdVFnDywpW+K1cZ7e42mpeQHRdI0dLtiBfa7ZB00vXWensjKlBg8ezNixY3O27bDDDqxYsQKAQYPSj7PWrl2bs8/atWszr7WmpqYGl8vV6d8MGjSIZDJJfX193scFuPLKK2loaMj8fP99x+sK9ybxdiLhtulp4u2EAWLTGyOktwaIjdQji9QjS4/1cCDhtulN4u1Uwt0bI8QJA8Smp0aI1COL1COLNKQkLfEGDfyDDDzl0VZos6W5TuXJw4cTW1/qSMoXxaXSb/dqqnevLv7KewUgth7+395Vjmvu9rvZZuo2uP2la8bsFJ4KD8OmD8NbKecPd4amaww8cOBmoXm50ry2mUVjFnGjeiNNq+T0PQD23Xdfli9fnrPt888/Z/jwdAfKkSNHMmjQIJYuXZp5PRKJ8Oabb7L33nu3e0yPx8OECRNy/sayLJYuXZr5mwkTJuB2u3P2Wb58OStWrOjwuABer5dQKJTz0xk9SbydTLhtupt4O2mA2PTECHHKALGRemSRemTpth4OJtw2PUm8nU64e2KEOGmA2HTXCJF6ZJF6ZJGGlKQ1eg0c+uBKAjWljmTzxl1hscsv6vDI/3YdorgUQqNDVIwOobgcXhK5BHgqYOLlMcc19wQ9HPnAkXiCzi56UAq0oMaEGyZsFtdSSOQ4FR532M3OV+3MwbccjN6vdCWtZbX63kUXXcQ+++zD73//e44//njeeust7rrrLu666y4AFEXhwgsv5Le//S3bbrstI0eO5KqrrmLIkCFMnz49c5xDDjmEH//4x8yaNQuA2bNnM2PGDHbffXcmTpzI/PnziUajmdX4wuEwZ5xxBrNnz6Zfv36EQiF+8YtfsPfee3dr5T0AVQVhJbHMjjPqCh0izW42RlXCviRuV/sJfcpUaGj2oKkmFXoKLOh9e9c0PjcIy0VTXENYBn5v+0vdWyIdq2GlY3UpAqv9XbuNS4GQnr7G+iaLkC/VoakQS7iIJjUCHgOf23QsBpB62Eg9snSoh8i90EIk3DbdWXWsUAl3d1aBK4QBYpPvKnBSjyxSjyzSkOrbDO2vYcZWQtLZW9aGzwUvzdqFw//8KZUju15VtSxINAOQamoocSD5o4lmRkwGYfhIle4hfC7lOI6ljKkA5x45GYRBx5pbKUjUgxXL+5jRdVH+POrPnPnVmQQGyCZlWwLx2jjPHfIcZ39zttS8QGi6xjanbFPy1ffKypTaY489+Mc//sGVV17J3LlzGTlyJPPnz+fkk0/O7HPZZZcRjUY5++yzqa+vZ7/99uOZZ55B17PO3ldffUVtbW3m9xNOOIH169czZ84c1qxZw/jx43nmmWdymp/ffPPNqKrKMcccQyKRYMqUKdx+++3dvgZFASEMhNXxkw4FCHlTNMR1GmIaIT2O25WbTqdMlUhcx6UahLxxFAHCgRXSWuJzpxDCTTThQQgTvyf3pkwIaIjrmBaE9BiaYiGcyvo3oSkQ8hpE4joNMRdhPY7SauhiSTexpAu/J5GO2eEYpB5ZpB5Z2tVDWChKOvEtZMJtk0/iXeiEOx8jpJAGiE1XRojUI4vUI4s0pPJnwYIF3HDDDaxZs4ZddtmFW2+9lYkTJ7a77/333595sGfj9XqJx+OZ34UQXH311dx9993U19ez7777Zhaz6Q79KlSsZD2Yrm5fU2d4AyahbRpw+zdgJhxY/rUYGAkAzES8ix3Lh9gawXNnHcjUB5fhr+n9KqKOUI7jWMqYHD53rNbD4lP37lxzywCjGawEKPlNzXIH3ex81s64g3Iq15aC5tcYccIIqXkBia2OseSAJQCc8/05VGxVmnslRQinU7ktl0gkwm03/oqafiE8nq79vo6mYRViSlJntDcNqxBTxDqjo2t2eopYZ0g9skg9srS8Zr/XQFgp3KHt2NgQK2jC3ZKOTIZiJtwdmQzFMEBa0t41F8MAaYnUI8vmpkcsFuPMM8+koaGhyyn5mxOPPfYYp556KgsXLmTPPfdk/vz5PP744yxfvpwBAwa02f/+++/nl7/8ZU7LBUVRch72/eEPf2DevHk88MADmcr2Dz/8kE8++STnQWJnRCIR/nTRNsyceRpuh99HkYa0oRoK9x2d+2LM9esjrP2vj1GHuNHKZAZOOY5jKWNy+txGElYvczN471THmpsJaPo6/WBDJBixwzTc254JnipHYsiHL7/8EqAkFSKlPHdHyJicoa/F/Pknn7N66WoGDRrEqGmj0PLwMLpDJBIhHA53eV9VVj2ltjTa66FT7IQb2vbQKbYBAu33NCqmAQJSj5ZIPbLk6JFQsQRs2BgpWsIN7ffQKXYFSHs9jYptgEDbnkbFNkBA6tESqcfmwU033cRZZ53FzJkzGTt2LAsXLsTv93Pvvfd2+DeKojBo0KDMT0tDSgjB/Pnz+c1vfsO0adPYeeedefDBB1m1ahWLFi0qwhV1Tf3X6dX3NnxR6kg2b1QPDN6nuWwMKUnh0TwwbFInhlQPaVrTxM36zTStKZd5oJJCE18f55/j/ik1LyCqR2XoEUMZc9wYxw2pbsVRsjNLgNzEe2NUZWNULWrCbdMy8a6NqEU1QGxaGiG1EbWoBoiN1COL1CNLRo+4Sl2TF8MwipZw27RMvFevXl2ShLulEbJ+/XrWr19fVAPEpqURsnr16qIaIDZSjyxSj75NMpnknXfeYfLkyZltqqoyefJkli1b1uHfNTU1MXz4cIYNG8a0adP4+OOPM6998803rFmzJueY4XCYPffcs9NjJhIJIpFIzk+h0AcY1OzajL9tIZjEQWLrVZ48bATRtV3vK9k8iK6Fh/bs57jmeqXOXlfthV5ZumbMkuKiVWiMmTVGal5AYqtjLNp2ETcqN9L4Q/4rKzuNNKXKAFUhJ9EP6MVNuG183mwMbhdFNUAy59XS524vpmIh9cgi9cjS8to9HndRE+7seT14vdnlgwOB4jd9VFU1p/w2FAoV1QCxaXntXq9X6rEJqUdp9eiL1NbWYppmTqUTwMCBA1mzZk27fzNmzBjuvfdennzySf7f//t/WJbFPvvsww8//ACQ+bvuHBNg3rx5hMPhzM+wYcN6c2mdogdh3z+sQw8X7BQSQK+yOOCWVfiqSx2JpFj4quHwe+sd11zTNfb+9d5oelm1RJYUEE3XGHPeGKl5AdH76+z/2P6c9PpJBAaV7r5JmlJlQMqAhpiCpgo0VdCwaapSMbGniCmKwKMJkkZ66lixicYVkoaCRxMoishMHSsmUo8sUo80th6qIvBoFvFEksbG4j9NaGxsJB6Po+s6iqJkpioVk2QySV1dHW63G7fbTV1dHclkcZvX2lPEFEVB13Xi8bjUQ+pRFnpsKey9996ceuqpjB8/nkmTJvH3v/+d/v37c+edd/bquFdeeSUNDQ2Zn++//96hiNuy8Yv09L26zwp2CgmACt5qQ2YcWxIq+GssxzVvWtXEH11/pGmVnMq1pdC8tplFYxZJzQuJCt6BXoJDgyX9nJZfESWmZY+cyqCgMpjbQ6cYtO5ZVBnI7WlULFr2LKoMiDY9jYqB1COL1CNNSz3CAZOwL0VFMJDpoVMsWvbIqa6ubtNDpxi07FlUU1NDTU1NTk+jYtC6Z1F1dXVOT6NiIfVII/Xo+9TU1OByuVi7Nneuzdq1axk0aFBex3C73ey6666ZBq/233X3mF6vl1AolPNTKHyDDYYe3ERgcMFOIQHidSrPnbw1zetLHYmkWDSvh7//qJ/jmuv9dCbfMRm9n5zKtaXgDrsZP3e81LyAxNfGef7A57l7+N1EV0VLFoeshXMaBYSwEMLscteUCQ1RFy6XIOQ3se2GkB8aYi7qo+kk2O3sKsg5WCJ9LtMUhAMmmguEAL8XBCpNcRWBIOAt7E19NKESjSsEdBO/10II0FwQ9qfHqD4KYb9Z0GlbUo8sUo80bfRQTbAEFUE/qsuT6XdS6L417TVttnvo1NbWUldXV/A+Qh010a6urqauro7a2tqC9xHqqIm2PSZSD6lHqfToy3g8HiZMmMDSpUuZPn06kNZ26dKlzJo1K69jmKbJhx9+yJFHHgnAyJEjGTRoEEuXLmX8+PFA+v3w5ptvct5553UrPr9XwTJiWEqqW3/XFbqvmd0v/QGPP4jl7KELh9kMgJUq4Befw+iVUQ598Au8lXr5jHM5jmMpY3L43N5K+PHfm/FWWh1rbiXBTIIwgPzuaTVdY5ezd3EkRknfQNM1RpwwQk7fKyD6QJ3JL01m5MiRBIaUbvqeVNhhXCoIK9blF2/KVIkk/LiUJCF3DIzcj+SQGxpMP/VNKiFvDLfLeRNCCGiI+zGFIOSN4bIsWj5Q9qkgNA/RZi/CSOD3FObJeyzpIZby4nc341OTOWPnAio86bGqb7QI6zGUAhghUo8sUo807ekhTAFq+mOzWIl3Z6uIFSvx7mxVN7vZdqGNkK5WdZN6pJF6ZJHGVP7Mnj2bGTNmsPvuuzNx4kTmz59PNBpl5syZAJx66qkMHTqUefPmATB37lz22msvRo8eTX19PTfccAPfffcdZ555JpBeme/CCy/kt7/9Ldtuuy0jR47kqquuYsiQIRnjK1/GjvRgRD7Dcli7DZ/4eOXyAzjoj69RvV0fmRqSTH8hJwx3iQPpBrEUidVhEhUx++uz9JTbOApBYm0TCAX3oAAFubHqDIfHwzKg/psQVUqkY82FCalGMJLpJRrzoPGHRu4cdifnfH8OFVv17UUsko1J3jz3TbZ6biv0kKwC6ojY6hhLDliyWWhetliQWJugydNExZCKks2jK5evh80G0wJF9aN2Ur6RMqGx2YWm2dUm7f8nq3SnqzQakyHHK0IsAZGYCwuoDJq4Xe07o0E3KAmVaDyAovkcr9CJJlRihkrAZxHwegFvm3287k1jEfUQSXkcr9CRemSReqTpSA8hTLCyVZCFTrzzWda+0Il3ZwaITaGNkK4MEBupRxqpRxZpTOXHCSecwPr165kzZw5r1qxh/PjxPPPMM5lG5StWrMgZt40bN3LWWWexZs0aqqqqmDBhAq+//jpjx47N7HPZZZcRjUY5++yzqa+vZ7/99uOZZ55B17uXgH3yTZJxe2yP2+2sgRDaponRx9dSPW443qCjhy4Yqca0eeat6CMBAw0b47x8+bb8+O8r8VaVx1TachtHK2Wy7t+fA1B1/Had5hCFwOnxiK1TefHioZ1rbiUhuoKU1QTkV0LnG+Bj2qJp+Ab4HImzlBhNBnVv1ZGKpKQp1Ql6tc7EOyZuFpqXK/H1cV454RWAkpp/0pRyGgGKoqIo7X+hZJo2u+xl7Tv+4nEpUBlI97NpiGlU+oUjK7ClE24F04LKgMCtdf7lF9RBAaIJFwpqzkpovSEaV4glFIK6IKArpOtw2sejpceiPqYQiWmbxq73MUg9skg90nSlh1Byb7AKlXjnk3DbFCrxzscAsSmUEZKvAWIj9Ugj9cgijan8mDVrVofT9V566aWc32+++WZuvvnmTo+nKApz585l7ty5vYorlhComh/V7WzFnxY2GXdmFF+4cH2rHMeVfiiiuvvOypL+QSbTlnxLsJzGudzGUZiYibTpqmqBoptSTo9HcCj87M0NQCdGgqmBywOKlq6aygPNo7HttG0diVHSN1A9KkMmD0HzSMuiUPgH+5n+xXRGjx5d0jjkXVkRadm0Od8kXlXS+zrV3Ll1E+18k/iA7myz7ZZNtPM1VdwajjbblnpkkXqk6akeFRUVjjZ37k7CbWMn3k41d+6OAWJjGyFONdvurgFiI/VII/XI4rQekr7Phs80njxsBOs/LnUkmzdWEla/7sMo7qKgkhJiJOH7/7gd17zxh0ZuVG6k8Yfir+4qKQ2x1TEWbbtIal5ArKTFyn+vZPnjyzGSRV7evAXSlCoSPUm4bZxKvHuacNs4ZYT0xACxccoIkXpkkXqk6a0eTiXePUm4bZxKvHtigNg4ZYT01ACxkXqkkXpkkcaUpCWhEQbjZ6+jalSpI9m8iTeovHXNABIbSx2JpFgkNsJLlwUd1zwwKMDJb51MYFCZVLhJCo7eX2fSE5Ok5gUkXhfn7Qve5qnjn6J5XXPJ4pCmVBHoTcJt09vEu7cJt01vjZDeGCA2vTVCpB5ZpB5pnNKjt4l3bxJum94m3r0xQGx6a4T01gCxkXqkkXpkkcaUJIMGFSOSspFFgfH3t5i25DsCA0sdiaRYBAbCz97c6LzmKgQHB2X2uiWhgneAV2peQOzpe5eIS0raTF5+FRcYJxJuGzvxbogq1MeUvJNnpxJuG9u8iCaUnN+7wgkDxMY2QupjCg1RJe+xlXpkkXqkcVqPnvbQcSLhtulpDx0nDBCbnvY0csoAsZF6pJF6ZJE9pvoekUgEt8M9pdZ8mOKdy0ew/y0/0G/70k1Z6A6NTX1vCsvGDY2sfamK0UdF0JxfCLRHlNs4WqmsOR6JNKK6i/t55PR4GEn44bkgWx3a1LHmVhJizTQ1J3GR4tuVdSjK1+AJd3hceyW2w14+DP9gf6/j/O6773p9jJ6ycuVKAL755hv88d5fixOUcjw64qt3v+Ljkz6Gl3FE82JQjuPYGd988Q21T9fyVdVXDD9+OJrurD2U70NIeRdWQJxMuG26WxHidMJt090KHScNEJvuVuhIPbJIPdIUSo/uVoQ4mXDbdLcixEkDxKa7FTpOGyA2Uo80Uo8ssmJKEhgZZ8IfviA0um8YUn0Vo0lj+Z1DSTXKlGNLIdWo8v6t1Y5rrg/UOezlw9AHytXqthS0ao1xfxknNS8gRsRg5YKVfPjbD0k15LcSZiGQlVIO43KBZcaIx11E4jou1aLCE0cYkN/aEvlR4YGGuM7GJpWQHsftantDLUR6H9NK76MKC9PB95ruAktz09TswTKT+D3tHzyWdBNLevB7kuiulKMxqECFRyUS19nYaBHW4yjtmBspU5V6bELqkaZHeggLRcnvJivfipBCJNw2+VaEFMIAscm3QqdQBoiN1CON1CNLe3pIyo+dtvHgs75HNZxdkazCTBBZMRjPtivR+ki+U6EkAPAY3hJHkj/9qxNM+/sKPF4vlIn/V27jKCyLym3WA+C1BIpRXAPP6fHwhOG4f32d/qUjzS0DlHqC7jgobkYMrcY9ehvwVHV4XMuwWNuwloHbDETVnBujUqw6Flsd42M+ZuTIkSWdMtUepV6FrSWWYdEQaWD0NqMd1bwYlNM4dsW2n29bsHjt+7yukKaUwwgBhnATS+poLouQz0RV3I6fRwHCfpNIs0ok4SfsS+J2ZUtTLAGRuBtTqIT9SdwuF+D8ErMBHRTFJJr0oigu/N5cayGWcBFLaQS8Bn4vgPNj4VEhrBo0NHuIJPyEfKmcqpuUqRBJeKQeSD1seqxHnssW23SVeBcy4bbpyggppAFi05URUmgDxEbqkUbqkaW1Hj5fJ0uYS0rChkYL1VOJS3P2ljWyCt5bsDM1Y5dTs33c0WMXDDPdhNbl7TvvU6O5ma8XDWHcTzeWzfS9chtHYVgkN1WNujxVKMVOvh0eDyMJyx8fwJjj1nUyfS8FIgGp/Kv1o2uiPDzxYc75/pyyM3IkhSG+Ps5/jv0P23+/vdS8QBhxgy/u+oJ1/dYx8YqJjk/fyxdpSjmMaSk0JX14NYVwQEFVnDcebFSgMpiefhSJ65npR5aAxqiCKaAqIHBrhX0SFPSDoipEE14UNTsdLBpXiKUUgrogoLsphAFi43VBlQr1MY3GuJaZDpYyIBJXcLuQekg9eq2HECbC6l5pWUeJdzESbpuOjJBiGCA2HRkhxTJAbKQeaaQeWVrqkUqVrnRd0j4r1xu4/ENxO/xe7LdThGlLviUU7u/ocQtJs5n+f+IOhkocSf4Y65tY/uhWjD0piDtY6mjSlNs4WkmT2Pp6ADT/Vqiewt0btYfT45Gqg48fqmK7Y70da24mQCRoTqhpcyoPKraq4BJxiSMxSvoGdhNuaUgVDqPR4POFn6OgsPO5OxMcVJoP6r5VB9cHEIobTRGO9cjpitY9dJJGYXrkdEXrnkaF6FnUFa17GiUL0LOoK6QeWaQeWVr30Clmwm3TuodOIpEomgFi07qnUSKRKKoBYiP1SCP1yGLrYZpOTiSWlDNGE3x8b5h4U6kj2bzR+1kcvXgFfjk7tmNUhcDIIMGRQYpyc1Rg/NVw8qsbHdfcSBp88eQXGMkymQfaCzSfRnBkEM0v60M6w0parHp+1Wahebmi99eZ9sk0Zidnl8yQAmlKFYSgbhb1O8VOvF0K1EdVUmb+K485SY4RUmQDxMY2QlKmQn1UxaUUzwCxkXpkkXpkaZl4FzvhtrETb7siR9O0oq88ZhshmqZlmm0X0wCxkXqkkXpk8Xg8hMMdr/wk2byI/KDx5aOVNPathZL6HEYcPlxYhdFHZkiWAlVT6b9nf2r27N/n+ua0hxGH/873Oa5587pmnpz+JM3rmp09cAnwVHqYvGQyvn7lMYW0XInXxXnrvLc2C83LFSNm8P7c91k6aynJWOcL4BSSvv/JJ5FIJBKJRCKRdIN+2xtMW/Id/ceVOpLNG6NZ5bt/V5CKlToSSbFIxeCLRbrjmtvT9+RUri0HOX2v8BgxgxVPrODD+z4k1VS6FgbSlCoATXEXVhELUuxl7U0BlQELt0tQH1NIFbnSMWeKWIupY8UktWmKmNslqAxYmJvGRuoh9Si1Hi2nJLWcqlRM7Iocu0LHMAzq6uqwrLarExYKu2eRYRiZihy7QqeYSD3SSD2yJJNJGhoainpOSemIN8F//6+auJS8oOhVFkc9uQJfv1JHIikWvn5w0ksbHdfciBu8f9f7/H/27jzOqepu/Pjn3tzcLJOZDMMywyAIKAIqiKIi7gsVl1ax1pbWVmut2yO2FB+1WJdKVVxqxa3SWuvyVB6tv6fVqi0uuLdIFXdRRAFBYIZlyGSy3ntz7u+PwLRTmCHozSSZ+b5fL15kMjcn35zvJDn33LM4GZnK1Vs4GYeVj6yUnBdRsF+Qr737NaYnp1M1oKpkcchEVo9pro2tNDa3aVSHXbQi9wG4LrSlNBwXaoL556sKurSlNFqSGjVBF483rNmudFYjZWmETRfTn+9xyCloy2jkFIQCxe+FcLYsom1sqQNNg0jAJZ6RfIDkw4t8uC6gNHTbQVOFn7Qnk0kSiQSRSIRAIL+wejgcJhaL4TgOVVXF/xKwbZvNmzdjGAY1NTVomkY0GmXz5s2sX7+ePn36oBU5Ia7rsnnzZhzHaX++mpqaDjH4/cVbgH8ryUee5ONftuaj2HUuykd6ncGa5yMkz9xMUGZtFo2Tgnfv7MvBP7Mxw6WORnQHKwWv31zFAZckPc15piXDcxc8x25f3Y1IY5msmi+Kym61efuqtznorIMk50XiJBzevPJNPop8xLH3HIsZKc02qdIp5TFTT2P6q3CUj0Qa/D5FsZq4LmDn8oPdQoZLLueydY1W0wAtp5PKgt9x0bXidUI4SienNIKGi44iu2UTDR0IGjq2o6GUi6EX7+q/cjXsnIZfz9f5v1/kDxn530k+JB9fNh8uLrgaKmuh6YU9xnEcbNumqqoKn89HJpNfZMHn81FVVYVlWbiui1HE3kqlFJZlEQgEME2TbPZfO91EIhEsyyIej2OaZtFOyl3XxbIsdF0nEomQy+XaF5UOhUJYlkUymcQ0zaKuqST5yJN8/Mu/56OYzyO+mEH9DXKpNWB5m5s+Q9Kc/MTnhMIh7EpZ7DybX1fFTlTO8C6nzaZp0SCymz5DU2WykUA51mMpY/L4ubObfXz+6ijG/mBt5zlXNmRjoAqf4xdpjHBx7mJPYhSVIVQfYsrSKdIhVUROxmHDyxvY5NuEnbKlU6qnGKIvYNSwvdB3Ypt5IURlcJWN7jMZcMCZGKH6UocjhPBYIpHgwgsvLHUY4t/UVesoKwY5n6flZmI5Ft88lolXLCEY6d5NQL4wJ9+BnctWzqrhwUiWEx58Hn8gQC674+O7RTnWYylj8vi5/WE4+eFXt5TZyUHKAScNKgtaYSNynYzD67e8zgEXH4ARlFPY3sDJOHx636cMvW6o5LxIgv2CnLj4RHbfffeSxiHZ9VgimaJP/yEEwrWlDkUI4TFlJ1HZGH1qa/BXyQIZQvQ0MlKq/Ly33GL/I/bC7/GOkOtXpdj4bj+UNYagx1vXF4vVGgcgGK0pcSSFS6yN8+aNAzjyugxmmQx2KMd6LGVMXj+3lYC//zzCIT9PdJ7zXBYSy7FycXAL663MxDK89ovXGHP2mJJuXS+6j9PmsPTOpRxxyRGS8yKx2izemP4G74Tf4cRHTiRYEyxJHNL6EkIIIYQQvUrt8PzuezVl1DHRE7mOTusnJsopo1FJoqiUA5s+MlAer00daYjwk8xPvC1UlLVg/yAnfXCSdEgVkWu7tH7YSsKXQFndt9HOf5Ld94QQQgghRK+SicEL/9VAJlbqSHq2QFQxed7nBGtLHYnoLsFa+MaTMc9zbqUsXpjxAlaqe3eHFaXjpBzeu/49yXkRBeoCHP+P4/mvdf9FuF/pdqOQTikhhBBCCNGrZGMG8U8CpFtKHUnPZiXh1YsbsCplMXnxpVkJePr8as9zbids3r3nXeyE7W3Bomw5KYeVj6yUnBeR1Wbx0tSXmHfoPDLx0o1olU4pIYQQQgjRq0SH5qfv9Rle6kh6uJxOZrNOuWy8V5aUS2ptitTaFKgKWXS/CyoHmU2a5zmvGlDFj9t+TNWAKm8LLgEn47D07qU4GY/nOPYwwX5BvvbO13pEzstWDrIbsiSbkrhO6T5/pFNKCCGEEEL0KpmN8OwZg0huLHUkPZtZo5j0+7UEo6WOpHwpR7H+5WbWv9yMckq3potXglE4+dG45zm3EhZ/PfOvWInKn8plbbb48Fcfkt6YLnUoZc1JOCy+ZHGPyHm5MmtNjl1wLOd8cg6hulDJ4pCFzj3m0zVcJ42yC9veVAhROZSTwnXlqpYQQnSXcEBDOSmU5u30jWzcJtVkkN2UJRStkM/1XP4EVtm+EgdSOKs1yz9+OoRj79yIWV3qaLYos3pUTg5fwN5yOwlaN8flcX1YbfDcj+uZdFtz5zlXFuQscB2gsI44O2Wz/Knl2DfbmBFvd+MU5cnJODS/2IydkpwXixW3eOU7r/Bq4FWmvjSVYK3svtcj1EZ0nMSnuBl54wjR07jKRveXS6taCCF6vj2HmTjxj1C6t4P7o/1tTv6/j/CbfrKbPS26eKx8x0XWqaALnykXVD3Z2FJcp0w6/8qsHl3lUjssv7iZFc+h6Vr3BuBxfVgJAzdX03XO3RzYbeBYoBd2zlQ1oIppG6d5EqOoDMF+QU54/QSZvtcLSKeUx2IJhRHZDTMkWwwL0dMoJ4XrpEodhhBC9BpLVljsdcAo/H5vOxBiyzO8/KOhHH9vE5F6T4suGrstv3J0oLpytke3jQRH/nodkeqRpQ6lXbnVo7JzxFZ8DED9AXug+7t3pJTX9RHoAyc+EAe6yLmyILkKWyWAwkZBZuIZ/va9v3H8/xxPsKY0ozlE97LaLN685E12+dMukvMiMWtMjnnyGHbfffeSxiGdUh7LKRfNCKH7pUdXiJ5I5WReuxBCdJdU1kU3wuh+b0egK1vDajVQuSr08hgws2O+/MrRldTGtJIuL09v4ITfJ8pnXalyq0c3Ry6b/yPUjapu75Tyuj4yrfD0D2uY/Lsu1pXKGeAzQTPyo6YKoCxF8+JmlFX5626Jwri2S+z9mOS8iKyYxYunvsgL/hf47j+/W7J1paRTSgghhBBC9CrVgx1OfvozaqIysr2ofIpgH4VeHss3iW6g+yDY1/U85+F+Yc7//HxvCxVlLVAX4LhXjyPcL1zqUHouHwT6BwgFQ2hGN08d/jey+54QQgghhOhVkhvgqSlDSDSVOpKezayCQ29pwiyPmXKiG5gRmDy3zfOcZ+IZHj7yYTLxjLcFi7JltVm8cvorkvMiMqtNjnj4CL7z6ndKOkVSOqWEEEIIIUSv4loGuSwobzf1E/8h26rz9Hd2IRMrdSSiu2Ri8P++Wut5zl3HJbkuieu43hYsylcOshuykvMiyrZk+dvBf+PXA39NamPp1s2V6XtCCCGEEKJXiQxyOOlvq2T6XpFphiK6u4UuZxy9hm5A31GO5zkP1YU4e+nZ3hYqyppZazLpmUklW+eoN9D8GtHRUarCVehm6cYryUgpIYQQQgjRqySaNJ746hASa0sdSc9mVsFBs9bL9L1exIzAUb9MeD99L5bhwfEPkonJVK7ewopbvDDlBcl5EZnVJgffezCn/u3Ukk7fk+sWHquN6Djxj3HTsm2lED2Nqyx0n7y3hRCiu4wZbmLHPiDn83jV5JQGDCKz+UOMQIXM4ctmAcg4gRIHUrhMs+L5Hx3Kcb/5J8Fap9Th5JVZPbo5l7rRGwHIxt5H83XzYsMe10cmZvD0eROY/JtFnedcOWDHwMmAVinbX3pHN3R0Uy/pwtJCAGQ2ZlgweQG6T+cHH/2AqgGl2ZW0rDulbrjhBmbOnMmPf/xj5syZA0Amk+Hiiy/m4YcfJpvNMnnyZH79619TX1/faTmu63L11Vdzzz33EIvFOOSQQ7j77rsZMWJE+zEtLS1cdNFFPPHEE+i6zqmnnsptt91GJLJz3fyW7aL7a/AFymSbWSGEZ1QugybT2oUQotu0tCl0sxaf4W2TNTIozdf+7w1C4QoawpNLA+ALVM5UFiOcpWH/GGZ1FF+gTLZ1L8N6rBmVj8UIlyAmj+vDrNZpPKit65wrG9ws2IU3qoK1Qc5YfIYnMZZasH+Qkz44iUhDBX3+lIBZY3LUY0cRrJULwsViBA36H96fmkgN/nDpOojLtlPq9ddf5ze/+Q1jx47tcP9PfvITnnrqKR599FGi0SjTpk3j61//On//+987Leumm27i9ttv54EHHmDYsGFceeWVTJ48mSVLlhAM5v/ITz/9dNatW8ezzz6LbducddZZnHvuucybN2+n4k5lXfRQA/5w7U6/ZiFEeVN2EpWNlToMIYToNdZscPCFB+E3TU/L3bAqxfM/bOSkR2LUDPa06KJJ5+IA+COVsw6WkYuz38wU4eigUofSrhzrsZQxef3c/ggcdi1AFznPZcHNks7q+c6pAqRb0sybOI/vLPyOrDHUS1gxi5e/+TKD3hgkOS8SI2Jw4K0Hsvvuu5c0jrJcUyqRSHD66adzzz330KdPn/b7W1tbuffee/nVr37F0Ucfzfjx47nvvvv4xz/+wWuvvbbdslzXZc6cOVxxxRWcfPLJjB07lgcffJC1a9fy2GOPAfDhhx8yf/58fve73zFhwgQOPfRQ7rjjDh5++GHWrpXFBoQQQgghehLNdPAFQO99M4e6VWazzpMnDyHdUupIRHdJt8D/HtnH85xrhkbVwCqZ8tab+CDQPyA5L6LMxgxPjH2COVVzSK5PliyOsuyUuvDCCznxxBOZNGlSh/sXL16Mbdsd7h81ahRDhgxh4cKF2y1rxYoVNDU1dXhMNBplwoQJ7Y9ZuHAhtbW17L///u3HTJo0CV3XWbRokZcvTQghhBBClFhVfzjxsVVEGkodSc9mhBS7Ht+GP1zqSER38YdhxJSM5zkP1gSZ+uLUki7GLLqXWW1y2EOHSc6LyAgbDPnGEMacNQZ/RKbvtXv44Yd58803ef3117f5XVNTE6ZpUltb2+H++vp6mpqatlve1vv/c82pf39MU1MTAwYM6PB7wzCoq6vrtFyAbDZLNvuvIafxeH74K8rKD0sVQvQsygLXBrsVLGlhC9HjWPFSRyC6Sdtqg+d/OIivPbKZ2l1LHU3PZQRhzPmbMYLlM1VOFJcRhP2npz0vN7UxxYPjHuSMt88g3E/aYL1BtiXLCye9wA/e/4HkvEiMsME+V+1T8ul7ZdUptXr1an784x/z7LPPtq/1VM5mz57NNddc0+G+3106AFKrIbepRFEJIYomZ4GThjVPQSBa6miEEF5r8/5ESpQnPehg1uYwymMDth4r06Lz7Pd24ZTHY4T7ljoa0R1Sm+DPJ/fhlMc3e5pz3dSpH1+PbpblRB9RBJpfo3bvWsl5EWU2ZHj6iKfR0Dh31bklW3y/rDK8ePFi1q9fz3777YdhGBiGwUsvvcTtt9+OYRjU19djWRaxWKzD45qbm2lo2P746633Nzc3d/qYhoYG1q9f3+H3juPQ0tLSabkAM2fOpLW1tf3f6tWrd/YlCyGEEEKIblbVH45/5HOZvldkRkQx8vQYpmxK3WuYVTD27LTnOQ/WBDnl8VNkKlcvYlabHDT3IMl5ERnVBnucvwcHXX5QSXc5LKuRUscccwzvvfdeh/vOOussRo0axWWXXcbgwYPx+/0sWLCAU089FYClS5eyatUqJk6cuN0yhw0bRkNDAwsWLGDcuHFAfprdokWLuOCCCwCYOHEisViMxYsXM378eACef/55lFJMmDCh03gDgQCBQMdLbOGAhrIS2FhfqA6EEOVLKQdZalEIIbrPoP4GudQasLxtsrZ+7PLitH047ncfUjvM9rTsosnmR/LZidYSB1I4w02zx6lNuE4IO1HqaLYox3osZUxFeO5Rp4Hr0HnOlQ3ZGKhUwWUm1ye5b8/7OGvJWVQNkF7O3iCzMcPzxz/P2UvPlpwXiRE0GP2j0TJ9799VV1ez9957d7ivqqqKvn37tt9/9tlnM2PGDOrq6qipqeGiiy5i4sSJHHTQQe2PGTVqFLNnz+aUU05B0zSmT5/Otddey4gRIxg2bBhXXnkljY2NTJkyBYDRo0dz3HHHcc455zB37lxs22batGlMnTqVxsbGnXoNpl9DqQw5J/flKkMIUXZclUPXy+pjUwghPHHXXXdx880309TUxD777MMdd9zBgQceuN1j77nnHh588EHef/99AMaPH8/111/f4fjvf//7PPDAAx0eN3nyZObPn79TcdVV6ygrBjnfzr2gHQiEc4TrU/gDLeSyjqdlF42TX680l82UOJDCpde7PHPOkZz4wELCfcvkgm051mMpY/L4uVObTJ46c2LXOVdOfjkElQWtsMWV/WE/w08cjj8sW2b2FkbQoP7Iesl5EaWb0zx9+NPgwvmfn0+ksTTT9yru7OrWW29F13VOPfVUstkskydP5te//nWHY5YuXUpr6796+y+99FKSySTnnnsusViMQw89lPnz53dYt+qhhx5i2rRpHHPMMe3l33777TsdXyyhMOr2JRCS9WaE6GmUk0JZrTDoRAgPLHU4QgivxePA9FJH0e0eeeQRZsyYwdy5c5kwYQJz5sxh8uTJLF26dJuNYABefPFFvv3tb3PwwQcTDAa58cYbOfbYY/nggw8YNGhQ+3HHHXcc9913X/vP/zm6vBDvLbfY/4i98JvmF3txnbCMOF/5nw3URPf0tNxislrzC/EHo5WzaHhKxdnnok3UDBmFUSYzcMqxHksZk9fPbVTBhMtSXec8l4XEcqxcHNzCNocyIyYnPHCCJzGKymBEDMbfPB4z4u3nv/gXf9TP2CvH0q9fP4J1Mn2vUy+++GKHn4PBIHfddRd33XVXp49xXbfDz5qmMWvWLGbNmtXpY+rq6pg3b96XirWdboJPVs4UosdRTv6Knj8KZp9SRyOE8Jrp7WicSvGrX/2Kc845h7POOguAuXPn8tRTT/H73/+en/70p9sc/9BDD3X4+Xe/+x3/93//x4IFCzjjjDPa7w8EAl2uzVlKrSsNXjx3EF/93830GV7qaHouw4ShJyZk972uuJCzc+23K32dACMIe0zxfhfy5Pokv9vtd/zw0x9W/FQupRSZ5gxquELXy2qJ57KS2Zjh2WOe5dwV51Z8zsuVETQY/t3hJZ++J+8CIYQQQoheyrIsFi9ezKRJk9rv03WdSZMmsXDhwoLKSKVS2LZNXV1dh/tffPFFBgwYwMiRI7ngggvYtKl8diYO1DrU7J4lVLfjY8UXl9qg8/ixu5Js3vGxvZWyc6z+v1Ws/r9VKLvyl/9INsP/TOjjec79ET9jzxmLP1L5U7kyzRmeOfwZkmuTpQ6lrBlhg6HfGtojcl6uUutSPDbiMX6p/ZK2z9tKFkfZj5QSQgghhBDFsXHjRnK5HPX19R3ur6+v56OPPiqojMsuu4zGxsYOHVvHHXccX//61xk2bBiffvopl19+OccffzwLFy7E59v+iLRsNks2+68RFvF4/Au8osIEa+GoXzeV1RSunigYVRz48/UE+shJZW8R6ANH3pQg4PGAcjNsctSvjvK2UFHWjLDBmMvHYIZl+l6xBPsGOeD2A2hoaCA0IFSyOGSklBBCCCGE+EJuuOEGHn74Yf785z93WKtz6tSpnHTSSYwZM4YpU6bw5JNP8vrrr2+zLMO/mz17NtFotP3f4MGDixZ3bLnB48fuSsuyoj2FIL+ixcCD0xhyTtlrGCYMPsL2POeJpgS3Bm8l0VQu2ziKYstsyPCXvf4iOS8i3dQZdPwgRp42EsMs3Xgl6ZQSQgghhOil+vXrh8/no7m541yb5ubmHa4H9ctf/pIbbriBZ555hrFjx3Z57PDhw+nXrx+ffPJJp8fMnDmT1tbW9n+rV68u/IXspOAAh377pglvu4678FB++t5Qmb7Xi+Sn79V5nvNgbZCDrjyIYG2ZrJgvis6oNhg5baTkvIhk+l4P5dM1XCeNsmWYshA9jXJSuG6FbB0uhBAFME2T8ePHs2DBAqZMmQLkF+FdsGAB06ZN6/RxN910E9dddx1PP/00+++//w6f5/PPP2fTpk0MHNj5zqWBQGCbHfrCAS2/86lmF/aCChQMpTnk+s8wwxGUt0UXTy4NgLIrZ0H+YE2Sw+esIFBjlE89l1k9KieHL2BvuZ0ErZvj8rg+AjVw3G8tAjV25zlXFuQscB1AFVSuETSY+LOJnsQoKoMRNBh5wUiMoHRZFEuwf5DDHjmMXQbvQlVD6RaTlwx7rDai4yQ+xc3IOGUhehpX2ej+6lKHIYQQnpoxYwZnnnkm+++/PwceeCBz5swhmUy278Z3xhlnMGjQIGbPng3AjTfeyFVXXcW8efMYOnQoTU1NAEQiESKRCIlEgmuuuYZTTz2VhoYGPv30Uy699FJ23313Jk+evFOx7TnMxIl/hPJ4h6rNHwV4+ZIjOfrWv1O3e4VMDbHyZ/hZp4IufGZsAuEg2dYcZbPJWJnVo6tcaoe1AGDFc2h6N2+/53F9KAW63yTbanWeczcHdhs4Vn6OZwESaxP8ZvBvOG/1eUQaI57EKspbujnN04c/zfmrz5ecF4sOgfoAkUGRks6hk04pj8USCiOyG2ZIFs4UoqdRTgrXSZU6DCGE8NS3vvUtNmzYwFVXXUVTUxPjxo1j/vz57Yufr1q1qsO25XfffTeWZfGNb3yjQzlXX301P//5z/H5fLz77rs88MADxGIxGhsbOfbYY/nFL36xzUioHVmywmKvA0bh93vbgRAammDQ0a30GbkrgQppstlt+c6zQHXlnJy1Ls/w7LkjOOVPawj0LWxETLGVWz0qO0dsxccA1B+wB7q/e0dKeV0fqfU6fz1rUNc5VxYkV2GrBFDYELpgXZBJd08iWCdTuXoLf9TPuFnjJOdFlGnO8NyRzwFw3urzqN6lNBffpVPKYznlohkhdH/phr8JIYpH5axShyCEEJ6bNm1ap9P1/nNx8pUrV3ZZVigU4umnn/YkrlTWRTfC6H5vR6AHozn2/2mMcCXtvufLAVRUGzM4IMdXHlpFeGCkfEZKlVs9ujly2Xynq25UdXunlNf1ER4IX/9LC6H+oc5znjPAZ4Jm5EdNFcAIGuxz7j6exCgqgxE0GPqtoTJ9r4iC9UEmvTiJYcOGUdVYus/Ecvl6EEIIIYQQolu0fJTffW/DB6WOpIdTkN1kFLpskOgJFKQ26p7nvO3ztpIvxiy619ZFuCXnRaQg25wlsSZR0s9p6ZQSQgghhBC9Ss0uDrtPjVG9a6kj6dkym3Ve/lEj6U2ljkR0l/QmmP+DWs9zHhoQ4uTHTiY0IORtwaJsBfsGOfDuAyXnRZTZkOGVb73C/x78vySbkiWLQ8bCCSGEEEKIXsWIwF4/aCUYqaDpexUo3F9x8jMrqaqkaZLiS6mqh+8tavG8XMM0GHHyCM/LFeVLN3UaJzVimNJlUSzhgWGmLJvC7rvvXtI4JMNCCCGEEKIsua7L2qaN1NZU4bqQSttEqkxyOUU64xCpMnFyikzWIRLO385aDlUhE9vJYduKcMiPZedwnC23rRyr3rL44MrRTLhlJbV7OAQDBlnLASBgGmSyDrqmYZo+0hkbn65jmj5SaRvD0DH9+dt+v47f8JFMWwRMA8Onk0hZBANbbictQkED35bb4ZAfTYNkyqYq7N+p16RyWWxHkUrb231NOaUIBfO3leuWxWtq2djK5/8MsfekOMq383kqxmuyrHRR87Tzr8lH1VG1ACTSCTKxXLfmyXWz5HKKRNLy5DU5WZfW96qpHduGbnaSJxxMJ82GzWkChs3KNZtIpz/AX9UXv99PMpkkEAhgGAaJRIJgMIi1weIvh/+FE184kepdqmlra6OqqgpN00gkEkQiEVzXJZlMUl1dTS6XI5VKUV1djeM4ZDIZIpEIjuOQzWbZuHEjjuOQSqUIh8NYloXjOITDYbLZLEopQqEQ2WwW13UJBoNks9n8314gQCaTQdM0AoEA6XQaXdcJBAKkUikMw8A0TVKpFH6/f5vXtKJlBaP+MIp1qXV88tYnhMNhfD7fl35NVVVV2LaNbds7/ZqamprIZrNks9kv9Jq25skwDNra2jx5TUteW8Lys5Zz1PNH4e/r7/Y8fZHX1NLSQi6Xo62trSh58vo1Na9ppu31Nj6u+pjhJwzHF/B5+reXyxW4Zpw3TQYhhBBCCCG8lbVdJpz2AAuuOoJk1uGkG//OouuPYXlzgrPnvsELVx/Je6tamTnvPZ786aG89vEm5vx1GQ9PP4gF7zUz79VV3HvBATz++hoWvL+e28/al3mvruLNFS1cdHKK+x9fxMZUlp99fTRznsrvgDb9xD247k8fMqAmwDmThjNz3nuMGRLlO4cO4Uf3vcUxew/g5AMGcfbdr/OdQ4dwzJh6ps55jeknjOCgPfry1RteZfZ3xjBmSJSjrnmRe8/fn+H1ESZcvoC/XHYIVQGDY2a9tNOv6fcX7suLH2zk/xau3e5rem9VK7O/M4Z7nlvO+nh5vKZ3Pkryowff4pnA0Sxr3bDTeSrGazp/8lAO3L0P37zl9aLk6Yu8pluf+JBAvyhXX3Q0s+56mYZ+EX50xoFcdvMCxo1u4AffGMe0WX/juMN355vH78n3f/o4Z506juMP353TfvT/mHneoRy2/xCO/+E8br/iOPbds4HDTr+fP845lRFD+7LfKffw8kNnEgmb7HfKPbz553NIpCwOP/0BFv/pDFauiXPW5Y/w1mPn8t7S9fzo2vm8Mu/7LHzrc2b/5lX+es93eO4fK7jv/97mj7d9g8eeW8r8lz/h97NP4g9/eY+3P2zi9iuPY+7Di1nzeZKDX/w+7xz/HEbI5fLzD932NY3qxw+Or+Xi2z9k8oG1nP5NOPOH/8UPzj6H448/nm984xtcfvnlHHbYYRx33HHccccd7DNmH24I3cC+bfsykpHst99+vPzyy0QiEfbbbz/efPNNEokEhx9+OMuWLWP58uWcdtppvP3227z33ntcdNFFvPrqqyxcuJDrr7+euXPn8ve//50nnniCRx99lMcee4y//e1v3HfffTz00EO89dZb3HHHHfzmN7+hqamJ66+/nltuuQWAyy+/nFmzZtHQ0MCPfvQjLr30Uvbdd19+8IMfcOGFF3L88cfzzW9+kzPPPJMf/OAH27ymH/7wh/xg5CG4f92Tb/3xFm4+9gyG1PbnpHmz+f2UCwn7A0x99Fc8fNoMUnaWHzx2F3/5zkxWxTZwyTMP8sg3L+ajDZ9z46uPcd8p03hz7XLufWsBd514Dq+u+pDHP/wnN08+k2c+eZu/r/qIa46eymMf/pOPNq7hp4edwrx3X2FTuo2LJpzAvYvzO68dv8d+/M87LzG4ph/fGXsYN7zyZ0b1G8SU0Qdy9fMPc8iQURy7+zguefoBTh59IIcOGc2FT93D2fsew36Nwznrz3dy2aFTGNV/F89e02/eeIafHfpdHrniWv6ydOdf09njJ3HHor/SN1Tdba9p7tfOY21bCze/+nhR8uT1a7p4/1OIvjaeS7iU3z5/ITU13v7tXXbYKQV912uu67reNR16t3g8zrO3jWTfffbC55etK4XoaVxlofuCDDzsbvxVg0odjhDCY/F4nGg0SmtrKzU1Mt2o1OLxOAtuH8mgqgaqQ0Z+ZEdWEQn5yCmX9JbbTs4layuqgh1v2zmF7biEAz4sR+Hktty2FW1Zm9z6OiID29B9EDR1snZ+ldeAXydjKXQNTL9O2srh0zRMv04qm8PwaZhG/rbf0PD7dJKZHAG/juHTOtxOpHOEAjo+PX87HNDzo1UyiqqgvlOvyW8q7JyLpnzbfU051yVk5m8rtzxeU9qxSGcVdVXBL5SnYrwmzZf/nW3pRcnTF3lNbdksoYa+VFeHyWRzaDoE/D7SmRy6L387lXEwfHr+9WUc/IaO39BJph0Cpr5lpJRDMJC/3ZayCQcMfD6NtpRNVdBA0yCRdohseT8lMw4BnyKXc3HwUR32bxkppYiEjS0jpRRVIQPbUdiOIhw0sGyFk8vfzto5VA5CQR9ZO4erIBjwkbHyIySCpm/b16TlCBAn1prE8Jvssc9UrMZvY0bq8fv924zmCIVC6LrOuqXrGLD7APx+P/F4nEgkgqZp7aNSXNclkUhQU1NDLpcjmUxSU1OD4zik0+kOozyampqwbZshQ4ZQVVWFZVnYtk1VVRXZbJZcLrfNyJVMJpN/TcHgNiNUfD4fgUCAZDKJ3+/HNE2SySSmaW7zmt5++21W3vgww/rUk7AyhAwTn66TsDKE/SYaGkk7S5U/gItLyraImEFySpF28rcdlSPr2FRtuW3lHML+AHYuh6McQv4Ads7BUTlC/gBWzsmPaPObWDkH5SqChknWsQFoTsbIOja71g7A9BmkbSs/Ss9nkLazGLoPf/ttA7/PR8rOYvoMDN1H0soQMPwYus+z17RsYxNmzmSXfrUo1E6/poDhJ+NY6Jreba+pJd1GTin6V0WLkievX9OGZCs+XacuVF2Uv72c63LovZfvsF0lnVIeisfjPPXLPZg48WCMQJlsMyuE8IzKZdBcaDhkjnRKCdEDSadUeYnH4/y/6/fgwEG749N8npbdtDzI4lu/wsEXv0SfoXFPyy6WjJOfvhE0AiWOpHCJlE3z4iHsOqEZwyyPLfjKsR4zTpbI7rsQCnf/gs7pVBrAs+d2LFj5TB1Dj23BMDs5SNmQaSadTgEwdM9v4B/xQzD7dFpu2+dt/Gbwbzhv9XlU71L9peP85JNPAEqyls4nn3zCh1f/niHR/t3+3J1Z1boBoKxi+nTdBpY/Vsdh39MIRipjf7ZyrMeurNy0gdgnAerCVTSO1jAMb+s5YWUK6pSS6XseS2Vd9FAD/nBtqUMRQnhM2UlUNlbqMIQQotdYs8FB9a1G171tsgb6pBl3watE+oObrYwOSNvKdx4EzMrZiSqzOcdHj46nceRr+KJWqcMByrMebSsNgQb8JVh4P53Ld8p69dz2Blh8Wx92PaYKf6STg3JZcLOkszq42YLKrWqs4rzV51HVKBf+ewtfEIZPacEM9y11KD2WsmDDm2E2AAOG5TcBKQXplBJCCCGEEL2LA8nmahgUk9ZwEQVqLA6/7mmCZdQBJIor3B++u3Cz9wUrSKxLUNVQBZUxaEZ4wElLsovJCMPI72wu+cguybIQQgghhOhVUhsiLPvTPrStl1EXxaQsnc9eGI5THoOkRDdwMvDefUGcjLflJpuSPHTgQySbkt4WLMpWLgOrnq7FSpU6kp5LObDh3SCfvJ7fUbNUpFNKCCGEEEL0KjWDExx+/Xz6DJET3GJysgarnt8NJyPD0XoLKwnv3hvC8vitVb1LNf/t/rcn60mJyuAPw8jvtFTMelKVSNnQsiTEisWU9OKBZFgIIYQQQvQqTgaWPz3C89EcoiOz2uKwXzxLsMYpdSiim4T7wumvbsbrZYAcy2HZ48twLPlb6i2UA22r/agSjuDp6YwQjJy6ma+c7yMYLl3XkHRKCSGEEEKIXiW1IcLnLw2X6XtF5lg6nz41EseSU47ewsnAG3NCnnf4pteneXzK46TXp70tWJStnAVrX4lgycWDolEONL8e4sNXcjh26Tr/ZCytx8IBDZVuwlZtpQ5FCPEFua6Li7vt/bksuC5ZxyJnd9wtxvT50XVpdAshhJcG9TfQg21oms/TcvvukeWYW/+PoBHwtNxi8vvy3zuaYZc4ksL5Ui5Nr+/CqBM+xh8oj4WlyrEe/b4sZJuwE63d/+TZfCePV8+d2exj2WOjGXnqpwT75LZ/kLIhGwNV+GJBW6fvid7Dv2UR7mCktItw92TKgdblQeLAbuMBf2nikE4pj5l+DWXHyVEeX7xCiJ3jui7LmlfjqG0bUoamyCofsxdezAa744nM6RO+wtUn/aC7whRCiF6hrlpH92fQNG87/e20y8eP7s/e33qHYKQypgP5fPlOFE2vnKksoX42x8z5I6ZeojOd7Si7enRdcgmX+Eer8Y/qh+bTuvf5nXwnXS7rzXAUfxhO+b9XtpTZyUHKAScNKgtaYX8bTsbhgwc/YK8z9sIIVvYpbGZDho8f7sOA76mSTpkqd8qB+IoAjeMUhiH1VAxGEPb4Vul336vsd3QZiiUURs0eBMK1pQ5FCPFFuLCuKUNTWwsBw+zwq6Ceo8bn4OYPA0ApRVsmxeC6+m4PVQgherr3llsMN/tj6N42Wds+89H0+nCGH9yCObgytnbKWPkRLYYZKnEkhUvEs3zyxF6MO3U5RrA8OoHKrR5d5bJ5Wb5V0XjQ3uimt6MCd8RqjQMQjNZ4U14KXr+5igMuSWKGOzkol4XEcqxcHNzOeq46yrRkeO6C59jtq7sRaYx4EmupKEfhKg3K4y1RtpQFza+H2WMUGJWd8rKlLFj3zypiZo49j9AwzNJ0/kmXoxBC/DsNRgwYjE/TMXw+TMNo/+f3+fD7fFQHwkRDVURDVbi49I3UcPK4Q0sduRBCiAJVD0pw+PVPU1shHVKVSjk+Wpb2x7HllKO3yGXg87/7yXm8DlCkMcLFuYsrvkNKFM5on74nnx/FohSk1vnZuCo/Mq1UJMNCCPEfhtQNIGgGsJyu15twXZeUleGkfQ6lbyTaTdEJIYT4spykwTv3jieTKHUkPZsZsTn4iucJVlfGFEnx5YXq4FvPxAjVeVuuk3FYeN1CnIz8LfUWyoFN7wdxZPe9ojGCMOK0GEef7cOU3feEEKJ8GIbB8H4DySnFdtY7b5eysgQMk9P2P2q7v29etYz1qz8hl5MGlBBClJNMPEDrp/3IxoOlDqVHczI67z+4L3ZGTjl6CysBL/x3BMvjDt9MLMNrv3iNTEy2YustlA2b3g/hyFLNReNYsPr5CG8+lcOxZPc9IYQoK8P7D2Jp02ps5eD3bf+jMpZOsP+uIxm/68jt/n7F+/8knYwTDFfTMHQkDbvuQUhGVAkhRMlFBiY5/PqniZTJukI9lXJ0EmujuI6OLKDTOygHNn1keD4VKNIQ4SeZn3hbqChrRgj2mLqZYFh23ysaBdmYga3BdvZ46jZy2UIIIbajNhyhvqYPtrP9VpWTy4Hr8p0Dv4Kmdb5TjqZpWOkkKz94ndef+SPv/2M+G9euRJXyk18IIXq5TMLgzTsPIpOQ67PFZEYcDvrpi5gVssOh+PKCtfCNJ2MEa70t10pZvDDjBayUDJvpLZQD698M4djSoV0sRhB2/3qMI7/vwwyVrmtIvok95tM1XCeNsstn61shxBeze7++bI6vx3RtNF0joOXQt8zns7JpRtT2Z9Lue5NOxLf7eNd10TQdMxjCdV1ytsWGz1ewcc1KQpEaBg4bTf2uexAIVXXnyxJCiIoRDmhoPhs0b09KcmkfibVRrKQiWFMZJ7mab8s6h3r37s72ZeRsl/fvP4ADz3kHf5nsvld29ai5+AL5m8pJgtbNceXyuxEq25vntRLw0k/7c8QNGzA7W5NcWZCzwHUodASdnbB59553OfCnB2KGzR0/QFQ85UDskyBqAiCn1kXhWLDmhWqajBz7fbV0u+9Jp5THaiM6Vtsycmn5sBSi0tW5LqOrLXK5ND7dhw9F2jXQyDF9yCgGVFXzwYuPdfp4Vyk03UfOzY+K0vwGfr+ByuVIJmJ88u4/WPHhG9QO3IW+u+5Gdb/6LkddCSGKK+5sv4NZlM6ew0yM6k1oePvZ2H9kjuPm/gGjXDomChDaMsJWr6CYA8qHnfSjBTejR8qj868c67F22JYLXvEcmt7N7QAr30mXdbw567fiBqn1fchuWoprdzJCzs2B3ZY/I9YLO2eqGlDFj9t+7EmMojIYQdjjm5sxZfpe8SjIZTWydn4nvlKRTimPxRKKTYEIejBc6lCEEB7YnHL5fH0LAb+PgOYS9uVoy8YJ+nR8fkjRxYKbOqBr4GS3/Z0fcF1wbFIrP2Ttqo9QVSa5xghOfRjM8mksC9FbpNpSpQ5B/IclKyx22b0vPo9Hj2ze6PD23MM5ZNo/CdZWxtSytJ3/vqnyV87i7LlchgMufhmDKKpMdjost3p0XZfYivzt+gP2QPd37/e/3ZZPTKC6s2FNOyfQB07+42Zg++ttAvmRUslV2CoBdL3T8VZWwuK5C59j0l2TMCNy8b83UBY0vVFF4zGqZCN4ejojCMNPijMkWtqOv53qlFJK8dJLL/HKK6/w2WefkUql6N+/P/vuuy+TJk1i8ODBxYqzYuSUi/KZYARKHYoQwgN1ffuyfEMc2wEMjQCKdNbGbxj4DB/4vsSXpKaBX8M1NFAuesJC/7gF//IYTn0YZ3ANbpWMVxaiN+vtba9U1sXN+UH39jqqnTDJtoSxkmGCNZWxm5eb27IWoa9yTsjtNo13fn8AE89/FzNcHtP3yq4elUsumx8ppRtV3d4phW/LyDG/N0sJWHF4dloNX7kzjlnTyUE5I1//mpEfNVUAO2Wz/Knl2Dfb0inVSygFybX+/KL5kvKicCxY/WwNn/ty7H+yhhksTedfQc+aTqe59tprGTx4MCeccAJ/+9vfiMVi+Hw+PvnkE66++mqGDRvGCSecwGuvvVbsmIUQotsEAyZ11VU4uXxjOr9OFAQDHnYWaRr4dFxTBw20jIOxLomxts275xBCVBRpexVXpCHN4dc/Tc3AyuiQEj2XpkPVQJsBh9ejGzIapDNVA6qYtnEaVQMqfx1Os49Jv7EpjPIYrFe2jCCM+EYMMyzvi56uoMtOe+yxBxMnTuSee+7hK1/5Cn7/tidjn332GfPmzWPq1Kn87Gc/45xzzvE8WCGEKIWGvrVsbE2gXEUup4hGwgS28zn4hSkXzVb56XyGjjOoGqexCtVHWitC9FbS9iquTMzgzV8fymHTFxOqkOl7lcgIO4yfthDTDJU6lDKmYVQpwo3h/JT/CmfWwIkPer8+Xyae4W/f+xvH/8/xBGsqu31kBA367p3BMKpLHUpZcyxoWhih8TiZvlcshgnDTqyQ6XvPPPMMo0eP7vKYXXfdlZkzZ/Lf//3frFq1ypPgKlW9v56AGS11GEIIjzT2c/l8bQzHakMzdL6292GEnRA520Zzu/6SNMwAum/bofiu65JzbJRtg6YRqK6m36670XfwMMxw5V8FFKISxfXyWehc2l7F5VgGTjJALmsA0ilVLFbK4J25B3HIj97BDEs99waZVnj6hzVM/l2coIenQ8pSNC9uRlnlMQ1UdAMFmRYDVdgMT/EFOBlY9UwNn+k5Jpxauul7BXVK7ahR9O/8fj+77bbbFw6oJ/DrfvwF7iQhhKgMI+p34YNVH+LTdb62z5FY61qwsukuH5PYvJGc4+Az/vV5oFQOx8qicjl8hp++g4YzcOgo6hqGbLfzSgjRjcpo+xdpexVXZECGw697moiM4CkqXVf4IxaaLh0JvYXug2BfF683Nwz3C3P+5+d7W6goa0YQdj8lhhmS3feKRgdfwCVggF7CwWhfqPmVyWR49913Wb9+Peo/9g486aSTPAlMCCHKybB+A/lk7Sf0CQfZtV8D/l3H7/Axr/31IXJpp31UlGNl0TQNMxShYegeNOw6knB1bfGDF0JUPGl7eSsTM3jjtiM44pJ/yvS9IjKCinHn/hO/dP71GmYEJs/1fk3MTDzDYyc9xpS/TKn46XuiMI4Fa1+qpvEkmb5XLIYJu05uq4zpe/9u/vz5nHHGGWzcuHGb32maRi7Xu8fX1UZ0nPjHuGn5sBSiJ9GACQNMAmZ4px6XcyxUzkH3GfSp34WBw0bTr3EoPkN21RNCFKY3t73GDDcxqjega96ekBgJP66j45ot6JGuR72Wi6CyAdD1yvn+0OMaC68/gSOueBYzYpU6HKA86zGobEguJeOUYPfubBbAs+fOtBo8N21/Jt35BsFoJx2+ygE7lp87pBWWB9dxSa5L4jquJ3GKCqDAyWgoGWhZNE4GVv61luVajoO/pWGGynj63r+76KKLOO2007jqqquor68vRkwVzbJddH8NvoCsCSNET1NrhNB2oi1k+E0CoQj1Q0bQMHQkVdG+aFrlL2IqhOhevbnt1dKmUDVBNM3buUChaJajf/lngkYA166MUTw5J3+y4Bol6Lj4gtxcjupBMVABXLs8pqiXYz3mHB2MKL5ACf4Wc/lOWa+e2x/W6bNHFn84ii/QSW+CssHNgl14oypUF+LspWd7EqOoDEYQhn8tjhmU6XtFo0Og1iFkmp5Pud0ZO90p1dzczIwZM4rWKJo9ezZ/+tOf+OijjwiFQhx88MHceOONjBw5sv2YTCbDxRdfzMMPP0w2m2Xy5Mn8+te/7jIm13W5+uqrueeee4jFYhxyyCHcfffdjBgxov2YlpYWLrroIp544gl0XefUU0/ltttuIxKJFBx/Kuuihxrwh2u/0OsXQpQvZSdR2VjBx4859AR8PgPDLJ+GrxCi8hS77VXO1mxwUH2r0XVvF/xqa3J5fc6hHHbJIiJ9K2P6nm3lOw8CFTQVznXT7Hn6exh6GDdb6mjyyrEebSsNgQb8kZpuf+50Lr/Bg1fP7Y/AMXNywKDOD8plwc2SzuoU+oeRiWX44zF/5JsLvkmwVmak9AaOBZ8vqKFhiirZAtw9nWHC4KMTJZ++t9PZ/cY3vsGLL75YhFDyXnrpJS688EJee+01nn32WWzb5thjjyWZTLYf85Of/IQnnniCRx99lJdeeom1a9fy9a9/vctyb7rpJm6//Xbmzp3LokWLqKqqYvLkyWQymfZjTj/9dD744AOeffZZnnzySV5++WXOPffcor1WIUTPFghVSYeUEOJLK3bbS4hisRJ+/nHt0WTaymgXAVFU6RZ45Nha0i2ljkQIsSNOBpY9Wsvz9+awUqWbJ7nT3xB33nknp512Gq+88gpjxozB7+84D/hHP/rRlwpo/vz5HX6+//77GTBgAIsXL+bwww+ntbWVe++9l3nz5nH00UcDcN999zF69Ghee+01DjrooG3KdF2XOXPmcMUVV3DyyScD8OCDD1JfX89jjz3G1KlT+fDDD5k/fz6vv/46+++/PwB33HEHJ5xwAr/85S9pbGz8Uq9LCCGEEOKLKHbbqzcK1mU4bNZzsvtekelGjrqRGzD8sihMb+ELwi6H2Pg8HswUrA1yxuIzvC1UlDXDhKHHy/S9YtJ1CA+0qTIDeDwgeafs9FP/7//+L8888wzBYJAXX3yxw/oomqZ53jBqbW0FoK6uDoDFixdj2zaTJk1qP2bUqFEMGTKEhQsXbrdTasWKFTQ1NXV4TDQaZcKECSxcuJCpU6eycOFCamtr2zukACZNmoSu6yxatIhTTjnF09clhBBCCFGI7m579QapjUEWzzmcwy59nUi/zI4fIL4QI6gYddp7GNL512uYYTjk6uSOD9xJ6ZY08ybO4zsLv0OoTv6eegMnA6ueraHhGzJ9r1h0EwYdmmRIdOc2cvI8jp19wM9+9jOuueYaWltbWblyJStWrGj/t3z5ck+DU0oxffp0DjnkEPbee28AmpqaME2T2traDsfW19fT1NS03XK23v+fazH8+2OampoYMGBAh98bhkFdXV2n5WazWeLxeId/QgghhBBe6s62V2+hGw6aP4fPqIz1pCqVlfDz6s8nyfS9LriuS2q9wcZFG1BO5Y8oS7fA/x7Zx/Ppe5qhUTWwCs2o/A1jrJjF8idqsDKVn++i0sEIuujSH1U0TgY+fqQPC35b2ul7O51iy7L41re+hd4Nfx0XXngh77//Pg8//HDRn+uLmD17NtFotP3f4MGDSx2SEEIIIXqY7mx79RbBWodDr15AqFY6pYpJN3MMPGA1Rme7sAlwwY77SKxIgNqJLX7LlD8MI6Zk8Hs88CJYE2Tqi1MJ1lT+IudO2sFuM1Dy8dMlw4QhX2nDMOW7r1h0A6LDMzSOBt2/4+OLZacvW5x55pk88sgjXH755cWIp920adPaFxvfZZdd2u9vaGjAsixisViH0VLNzc00NDRst6yt9zc3NzNw4MAOjxk3blz7MevXr+/wOMdxaGlp6bTcmTNnMmPGjPaf4/E4r/x2f1S6CVu17dTrFUKUP5XLoFV+e1EIUWG6q+1Vjgb1N9CDbWiat3tVZzcaLLpxMkdc/jyRhrSnZReL35ffpUwz7BJHUriQL8uobyzGb5TPph9lV4+uS7h/vnHhpD5Hs7r5BDyb//u3E62eFbnPD8F1wE50coCyIRsDlSq4zNTGFA+Oe5Az3j6DcL/STjUS3cPJwMq/1dLwLYUZko6pYtANqD8gzZBopKRx7HSnVC6X46abbuLpp59m7Nix2yy2+atf/epLBeS6LhdddBF//vOfefHFFxk2bFiH348fPx6/38+CBQs49dRTAVi6dCmrVq1i4sSJ2y1z2LBhNDQ0sGDBgvZOqHg8zqJFi7jgggsAmDhxIrFYjMWLFzN+/HgAnn/+eZRSTJgwYbvlBgIBAoGOX7KmX0PZcXJYX7gOhBDlyVUWutcrdwohxA4Uu+1VzuqqdXR/Bk3z9oQkUO3DjGTwVaXQ/JWxppTPl+9E0fTKGXVkJ3y8cuUUjrnuSYLRbKnDAcqvHjXXxazO385Zm9Fy3Xzy7eTzkst68z7ItPh56qyJnHjfQoJ1nXT8KQecNKgsaIUNz9BNnfrx9egyaqb30CFY56D7vL0oIf7FScOnj/dhqZvjsDM0guHSvL92ulPqvffeY9999wXg/fff9zygCy+8kHnz5vH4449TXV3dvp5TNBolFAoRjUY5++yzmTFjBnV1ddTU1HDRRRcxceLEDoucjxo1itmzZ3PKKaegaRrTp0/n2muvZcSIEQwbNowrr7ySxsZGpkyZAsDo0aM57rjjOOecc5g7dy62bTNt2jSmTp26UzvvxRIKo2YPAuFaL6tFCFEGlJ1EZWOlDkMI0csUu+0FcNddd3HzzTfT1NTEPvvswx133MGBBx7Y6fGPPvooV155JStXrmTEiBHceOONnHDCCe2/d12Xq6++mnvuuYdYLMYhhxzC3XffzYgRI3YqrveWWww3+2N4vS2QluagmS8TNKOoRNTbsoskY+VHtFTSouEqm2XIUZ+i52pRnY2a6WblVo+ucoktz4+U2uWIvdHN7j0Bt1rza+IGozWelGdUwdizM0QGj8bo7DpeLguJ5Vi5OLiFdVYGa4Kc8rhsPNWbGCbsckSibN6rPZHuh7o900SDYQyzdHHs9Df8Cy+8UIw42t19990AHHnkkR3uv++++/j+978PwK233oqu65x66qlks1kmT57Mr3/96w7HL126tH3nPoBLL72UZDLJueeeSywW49BDD2X+/PkEg//6tHzooYeYNm0axxxzTHv5t99+e3FeqBBCCCFEAYrd9nrkkUeYMWMGc+fOZcKECcyZM4fJkyezdOnSbTaBAfjHP/7Bt7/9bWbPns1Xv/pV5s2bx5QpU3jzzTfbN6a56aabuP3223nggQfaLwZOnjyZJUuWdGh7lUqiKcSbtx/OoRf/k5qBlTFSqhLppmLXo5bLSWUvYgRhzFnev6eS65Pct+d9nLXkLKoGVHlevig/TgZWPFlLw7cVZolG8PR0ugH9x2YYEq0ubRxeFfTZZ58xbdq0L12O67rb/be1QwogGAxy11130dLSQjKZ5E9/+tM26z7952M0TWPWrFk0NTWRyWR47rnn2GOPPTo8pq6ujnnz5tHW1kZrayu///3viURKO79SCCGEEGJ7vGp7/epXv+Kcc87hrLPOYs8992Tu3LmEw2F+//vfb/f42267jeOOO45LLrmE0aNH84tf/IL99tuPO++8E8i3webMmcMVV1zBySefzNixY3nwwQdZu3Ytjz322JeO1wtG2CbQJ4UZkpWGiykbN3n5Z5PJtJbwErzoVqkN8IeJfUht8LZcf9jP8BOH4w+XcDVm0a10HaoabbweKCv+xUnB0nl9ePbuHJlE6aY073SKjzrqKDRt2604161bx7p169obJEIIIYQQ4ssrZtvLsiwWL17MzJkz2+/TdZ1JkyaxcOHC7T5m4cKFHTZ6AZg8eXJ7h9OKFStoampi0qRJ7b+PRqNMmDCBhQsXMnXq1C8cr1eCNQ4TLnmFoIzgKSp/0GHEyR9ghGSt1d7CrIYDL0u1r5PlWbkRkxMeOGHHB4oeQzeh8eAkhikL2xeLbkL//VLUhas6n27bDXa6U2rrQuFb5XI5li9fzieffML999/vUVhCCCGEEAKK2/bauHEjuVyO+vr6DvfX19fz0UcfbfcxTU1N2z1+6zqgW//v6pjtyWazZLP/Wl8mHs+vddOWyWDoO15nR9OAbfvutmvjaj9L7j6afS96mUh917vvabBTcwvcnbjYvDPrt6esLLiFlb9T68K74Ba4s+zO1DEuZNws0X0+Ja0C0MWMrp0qly9Xxym78zWMipW7ruo4/5z5jZNim1rxBX1oemGV4eZUwTFrOmi+bYNuS2y7Y7jrurhOoX8UoBsdy204ClJZYJuqdlG2C8qCVJpkysKn2XyybBMkPwZ/x3WtjIjR3iGf2Zjh2WOe5SsLvkKw37Znz07SwVWFxewL+Vi9ZnVBx+YyOZRdWCXrpo4vsOPPqjVr1gCwumUTRgEzHTWNgkcLuQpUrrBjAXxbBp6tbWvZ4bG5ndiwUvcV/h5RzvbfH2s3tpJ6eVeyJ2xo7zDRdSh0M1aVK/w97VUdN7VtBv5VVxr5dZsKKtfN10WhdGPLZ2cBlA3be3c0tW2GAZCr7sPq2JZyPcjdVl193v67ne6UuvXWW7d7/+9+9zvuvPNOTj/99J0tUgghhBBCdKK3tL1mz57NNddc0+G+WT/oS9vKAD52fBaS6W+QGFZY6z8XtwnWxbE26cSTgS6PdUI6sTFdH7OVlnPpu7jw9XQ2jQ/i+go7q4i+m8afgULOC1tHmtjRws7cIitsghsKOxNKDTJIDSqsjgMbcgQ+rObDPx7M6G/+AzPS+WgpK+ojPrKwKX6+tEuf9wqrY9ensWl8xw4MO5PvhPQHtx0l13dxBi1XWMfG5jFBcqHCclez1MJs3XFPwed/WU3bMJNs/8JyF15jE15TWO46e3/8qz6S7ff5W3NElxY2uu0/3x/OZj/NM/ejfvabGH06/rV2fH/48AVCmNUa79wbIL3plW3KfvuqfqjglrNjSzFoX5Prn34DtrMD3+g5mwitL6w3Ztn3o6ztGwOguu+aLo8d8qc4/d4o7O9t3dFh1k3a8dIv2ZXNTERj5VN1BZUbH2HyyVm1BR0bbHbY87YddzAB5AIa71zdH4C2Tc0AVPet7/T4fa7ZgC9b2PtjyY/ryNQX1tWw+30xapZt7+8tXz8rn/hXPX12SjWbDihshOvA5xIMfD5V0LEb9w+y6uuFLfZf/XGWEfe3dvLbfKyfbPkpPcDHh9P7FlSunlGMm7WxoGPhP94fO9D5+6NjvJB/f7TtUdh33o7eH5murkb8G89maB5zzDFcdNFFXhVXsXy6huukUbbMdxaip1FOCteV9UeEEOXBi7ZXv3798Pl8NDc3d7i/ubl5m/U6t2poaOjy+K3/Nzc3M3DgwA7H/Oeor383c+bMDtMC4/E4j1y/L5n9wui+ApqsGlQVOMLEHmoRuvZt7GAImx03vqsK7DgCSB9a+CLM4Z0pd2+dNNvvTPlPpq5hFli0O0onPbLATredqGMG66SiaQb0eR97vJ+c0XXbuOA6Du5cHf9nufaWYRb+4LYdP5mJhU8TCupawaO7cmOCdDYeT8u5VL2ZP8FN7hfF8GsYhQ5/GK6THlZY7jp7f2y3PoI+0v0LP5f59zpWfoX+o2VUDVDoxrZ1nD60Ch8OfbQN2Nk0mq7od10zrzv7kKJjh051UO8wFCTxA+hsr8x1VzdsfyjIduimTvXGtQBE6wd1eWz87IHEv19Ywa6hEfXvuJMg2eoALaz8xShUnwI6Y3WIFjACC4D+Lsvv3KWwY4FoqGO5XdXHZ7ds/zthewIBnUCBnxUbf9LAxu2MaIqvz+eoZkBj+32uXyNqFNYRk/qmYvnXC/yj8GlEt9PZuV39XJbvv/0hWNvErEF0O5812+W6LL+zccfHbfGf74+udPb+iK/9nJqlWULROtJjo2Do6KZOtMDP4x29P6x0Ei7ZcTmedUo9//zzHHXUUV4VV7FqIzpO4lPcjCzoKERP4yob3V/a3SmEEGIrL9pepmkyfvx4FixYwJQpUwBQSrFgwYJOF1GfOHEiCxYsYPr06e33Pfvss0ycOBGAYcOG0dDQwIIFC9o7oeLxOIsWLeKCCy7oNJZAIEAg0PEEe89hJrWBtdtdU+vLiDeHePfq4xl33TNEhiQ8Ldu7bYQ6UlsWZdcNj1f9LeKmVqragYOavI+5wHO87VHmlnrc3lydYtVFV+UaoO+VHyUSDrTt1DRGL+LttD6+aB2bwAFd/F4HHUWQFDnNwXENdM3Fzem4XTypHrPY9bIlfHbjnqjabc+z3EJP/HeSW2hHxU5QAZ22oQa5Wj+EPI5b13C9LnOLopXbSYebbrvsfdMmPrupfrs53yG/jluMcSK+zut468ilL1RXWhFz18n7Q0UMYuMN3Pp+X6zcHbw/unpP/7ud/ob4+te/vs19zc3NLFq0iKOOOqrD7//0pz/tbPEVL5ZQGJHdMEOFDf8TQlQO5aRwncKGAQshhFeK3faaMWMGZ555Jvvvvz8HHnggc+bMIZlMctZZZwFwxhlnMGjQIGbPng3Aj3/8Y4444ghuueUWTjzxRB5++GHeeOMNfvvb3wL5HY+nT5/Otddey4gRIxg2bBhXXnkljY2N7R1fhVqywmJ4v13w+bxtqKcjaQKjNxOvrSOlCptCU2q2tWWalV45i7Onm3Os/ulBDLv1Lfx15THSuBzr0fZvickNFTzax7Pn9rg+7BaDFT/Zt8uc+3Co09Zj2Wn8eq6gDjAVNtj8tQZUuPK3YlNBnWXn1hHtAa+lmJyAxrqjwz0i5+XKaHUYe2MLsJ4VN++FqivNwJqdznA0uu2gyWg0yh577OFJQJUup1w0I4TuL3xYsRCicqic7CAkhOhexW57fetb32LDhg1cddVVNDU1MW7cOObPn9++UPmqVavQ9X9dDT344IOZN28eV1xxBZdffjkjRozgscceY++9924/5tJLLyWZTHLuuecSi8U49NBDmT9/PsHgzm3vk8q62ARQ3g3uB0BV5ej3449xQ1UFrdFUDix363ogJdwiaSc5kST9f/oeqsbA9jiHX1Q51mMpY/L6uVUNDLx6WZc5d7FRGORcH75CV6I2dWJfLXz6mOgBTJ3moyKFT6sTO82p0vnw/CiR2v6omtJ9Ru/0M993333FiEMIIcpXLguJ5ZCzwEnDynkw4odg9il1ZEKIXqA72l7Tpk3rdLreiy++uM19p512Gqeddlqn5WmaxqxZs5g1a5ZXIXoqsyrIpuv3YeA1ywgOLWx3IPEF6KBHrfy+46J30MGodTyfCqlvthh6yQesvHmvwtZhEhXPiDuMubGFlTf3l5wXiw52tY7Tx1/UqdwFhLFjbqH7xAohhBBCiC9N2l7FZdRlCB64AaOfdEgVk2r10zxzPCpWHqOkRPGpmMHqn4z2POeqymDDdwejquRvqbdwgjqrTq6WnBeR0aYYe/Nmhl32IXqsdFOsC+qU2muvvXj44YexrK6nrSxbtowLLriAG264wZPghBBCCCF6I2l7FZcRgb4/WI6x493bxZegR23qZy9Gry2P9aRE8em1DoNv/dD7nJs6bUf2A5nK1XuYOpsODEnOi8ip1nn3kj6suHE0qrbMp+/dcccdXHbZZfzXf/0XX/nKV9h///1pbGwkGAyyefNmlixZwquvvsoHH3zAtGnTutxZRQghhBBCdE3aXsWVWRli0w1jGXj1JwSHZ0odTs+lQLWaMICSTg0R3UiBEzMwa7ydwqe3/Nv0vRItxiy6l9H6b9P3JOfFocDfpjB8NlatWbLP6YI6pY455hjeeOMNXn31VR555BEeeughPvvsM9LpNP369WPffffljDPO4PTTT6dPH1ljRQghhBDiy5C2V3EZDWmqJn+O0SgdUsWk2vxsuGFMfuRMmey+J4pLxQ3WXTPC85yrGoOmacNKuhiz6F5Olc7y79aA5LxojKRi9NxWoLVydt879NBDOfTQQ4sVS49QG9Fx4h/jpstnRw8hxJekHLBjuCqHrssXoxCi+/T2tteY4SZ9favQdM3TcnM1NnxrDT6/39Nyiyln5vcJ9OkVFHO9zZDfryyrei7HeixlTJ4/dz8Y9D/LujxERxEmQcBvo9wCh2YYOql9a798fKJyGDqtewaJGjLMslicqMGb1w8gWj+opHHI2ZXHLNtF99fgC1SVOhQhhFeUDW4WpRy8PS0SQgjRlZY2RcitQnd9npbb+omfldcfym4/f53I8ISnZReLo/Kjugy3ci58WlaGxHsDqB0fp1yu6ZRjPZYyJq+fWznQ9k5fqvfZ1GnOfTj4sXAUaFphmzroLRbDLvmgpKM5RPcyWh3G3tjCCpm+VzyOIrokS7i2Jd/pW6IOwDL5eug5UlkXPdSAP1xb6lCEEF7JZfOdUjkL5aRLHY0QQvQaazY4REb2xad522RND0hSe8YyrIFB4mXUOdEVy0kCYPor58JnarNF8137wa0fYZTJ9L1yrMdSxuT1czutBqtvG8XgLnJuYBPQLLI5DVO3C1rHRtUYrP7ZHjJ9rxdxqnQ+vKAWU3JeNEZSMfzhNqCNlTdHKmP6nhBCCCGEEBXPAF9jqmRXhXsLo4/NoLmLMELl0wFUdlyXwPr8SGw1xAWtssdkG3UOwx543/uCdXBq/T1iwXw9oxj8RBuxH9ZDUE7HO6WDXaPL5ntF5EQN3iqD6XuSYiGEEEII0as4n4fYdMM+OKsqY5RUpVIWJF7pj7JKHUkZU1C90iay0gZV6mC+PGVB/MU+nudcjzkMu+QD9Fh5jLj7MvSsou9bWfRUD0h4ERltirE3tvSInJctS9F3YZLqBevBKt3fo3RKCSGEEEKIXsXYJU3fn76DMUR23ysmlTJonTcclZTRIL2FShpsun+Q5zlXtUZ+Pala+VvqLZxqnXcvq5OcF5GRUQx5Mkn/eWvQk6Xr/NvpTqmjjz6aa665Zpv7N2/ezNFHH+1JUEIIIYQQIk/aXkXgQG5tGOQCfFEZtQ6D7l6E0Ucqurcw+jgMu/9973OuwIj1jNFkokAK/HElOS8ip8bgresGsPzefVF9SreY/E53Sr344ovceeedTJkyhWQy2X6/ZVm89NJLngYnhBBCCNHbSdvLe05TiNiDI3DWyvS9YlIWxP/aKNP3ehFlwea/eD9lU487DL7uY/S4dHD2FkZSMfrumOS8mCxF/XNt1D6+tqTT977QWLjnnnuO8847j4MOOognnniCoUOHehxW5QoHNFS6CVu1lToUIYRXlA3ZGErlFyIVQoju1lvbXoP6G0T1Teiaz9Nyw7tnaPjdWgyzcjqlHCM/1dDQKmcXWL+taPrrIHaZtAozYJc6HKAM61F3Cfdva7/d3Qude10fVtrPqsf3YuARn3Sacx8OJkl0n4WmuQWVq+pMPr13X09iFJXBiRq8ef0AoiXaEa43MLIuA19KA2niR/RDmRW0+97AgQN56aWXOOusszjggAN49NFHGT16tNexVSTTr6HsODnkkpAQPYZywEnjqhy6LvPahRDdr7e2veqqdcJaEs3jE/WsZbPuydHscsonGBXSL5XT8yf4Pq08OncKYfax2f+3j+Hz+0sdSruyq0cNzOp8x5CraXT31S+v6yPUBybc92SXx+go/Fhouo1yC5y44yjC78VJjamRXTN7C0cR/diCvkpyXiROtY+3f1H63fd2+uxqa6MgEAgwb948rr32Wo477jguu+wyz4OrRLGEwqjZg0C4ttShCCG8kstCYjkqZ6GcMrmyKoToNXpz2+u95RYjG4fg+2LXUTsVX6XY9NfRaAf4CQ6vjMXOLSs/ddP0VZU4ksJlEmnaHt+Fvt/chF4mnX9lV485l5rlmwCIN/alu3ulvK4PlYHNf2qgz9ebOs25gU0/bR1ZO4Wp2wUtKKPHHRruXMHKm/dCyciZXsFIKob/Ic7KfRzJebFYikHzE5hhRcs3BkGgNJ1/O/0N77odh1heccUVjB49mjPPPNOzoIQQQgghRJ60vbwXHJpm0NxFmKEy6ZjooVRGJ/lqPX2mbEYPymrFvYGydNperCP61fWe5lzVmSyX6Xu9ihM1eEum7xWVYUG/xRk0LUvsaw2oSumUWrFiBf379+9w36mnnsqoUaN44403PAtMCCGEEEJI26sYnAS0/nE4/c9sxoiUOpqey6hxaLztdQzp/Os1jBrF0N8u8b5gS1H9jxbaDq4DU6Zy9QqWou/bWZzJSnJeJE5E551rSj99b6ezu+uuu253Xv9ee+0lV+yEEEIIITwmbS/vOS1BMv/sj7MxUOpQejSV0Wm5bzgqIyeUvYXK6Gz47SDPc64nHfr/YTV6UnZi6y2MjGLI422S8yLSM4pdH47R/zcrIFO6epZvCCGEEEII0asEh2QYNHcRwaHZUofSoylLJ/N+H5Ts/9Mlq0bHqukZp2XKgtQ7NZ7nXPUxWf67fVF9esBULp+OE9bAkD2du+LUGLx13YCekfMypTsQXWZT9X4c3SpsJ8yixFGyZxZCCCGEEKIEnARsmDMKJ1HqSHo2o8ah8ZbFGDWynlSnfBrxUQHiowLgq/xOCqNGsetdH3qfc0tR+2QTWJX/t+REdN69oj+qpnx2pSxLlqL+hUSPyHm5ciI6717Zn5V37FPSv0fZ29xjPl3DddIoWz5khOgxlAU5C5WzcV35YhRCiO4SDmj4yeLD22kFekzH+iiK1rIaf6Qydt9Dyw898eMrcSCFU2mH9feNovGCz/CFy+T7sxzrsZQxefzcuZRO02+H03Du8k5z7sNBx8Gn5dC1wkZn6CmHPk80ET+0DmXKyJnewMi6DHw+xWfHOZLzItEziqEPt2KYaZrPGwrh0nQPSaeUx2ojOk7iU9yMvHGE6DHcHNhtuG4O3SfrjwghRHfZc5hJrfH5dtfU+jL67eYw7L4V6EblNIWVme+Y0/XKiTnj01m3ej/6qrWYennM4SvHeixlTF4/t6VMVq8c3WXOdRRBUgT9Do5b2POqWpMVvxnnSYyiMjjVPt7+xQCitXJeXTQOhNc56HoKPQelunRQPp/GPUQsoTAiu2GGakodihDCK8qC5Kr8SClZGEMIIbrNkhUWw/vtgs/n7QiSdItN8217s8slyypmapltpQHw66ESR1I4O5Bm0A1vEAs2lO5s5z+UYz2WMibPnzsCQ+d8QIzOc+7DoU5bj2Wn8es5ChqklVXU/XktLac0Qom2rRfdzFIMejZJ4nQlOS8SFdF5f2b/ku++J51SHsspF80Ioftl61sheoycAb78VRrlyg4gQgjRXVJZF5sAyuMma6bVj7WqmnQ8TLCmMj7XLTe35VawpHHsjEzSZdPdoxg4YzV6mUzfK8d6LGVMXj+3Suk0zdmVhumfdZpzFxuFQc714StwWQQ9myP68iZiJ9SjpIOiVzAs6Pd6mtQ3cpLzItEzit3u34zhT7B2+m4yfU8IIYQQQojuYDbmd98zQ3IRsagU5Fr9KCW7K/UWSkGu1fA856rGz4pf7+NhiaLcORGdd34+gKgsCF88CvwJF93noKvSDWiV7wchhBBCCNGrODGDpiv2wYmV0WLXPZAeUTTMegcjUh6jpETxGRHF4BuXeZ/zjEP/362ETGWMbBRfnp5R7Ppoq+S8iFRYZ8l/92P1DXuhIqUbrySdUkIIIYQQoldRKYPcxiBOwtsF1EVHKqXTfN3e5JJyytFb5JI6a67a3fOc65ZL1btxdKuw3fpE5dMdiC61JOdFpKcUI2/fxKCrl6CnStf5J9P3hBBCCCFEryLT94SoLKrGz8rbx5Y6DNGNnIjOu1f0l+l7vYBcthBCCCGEEL2K02Kw9pL9cDbK9dli0sOK+p+9j69Kpu/1Fr4qxaBZn3if85RD/e2fQglHc4jupWcUwx+MSc6LSIV1lv6oL2uu2RNVokXOQUZKea42ouPEP8ZNl8+OHkKIL0k5YMdwVQ5dl49NIYToLmOGm/T1rULTvZ1ml3BNmhMGfZzPCetpT8sulpxpA+DTK2fUQNZyWXLd0Yz5+SsYkfI4sSy7enTB1SwANM2Ebp5R6nV9OAmD9685jL2v7jznOoowCQJ+G+UWNkZCz0HwszR6rnSLMXvGUUQ/tqCvAkPGiHTKgfBah809IedlSk8pRv26Bd0XY80VI0u2rpScXXnMsl10fw2+gAwHF6LHUDa4WZRyurutKIQQvVpLmyLkVqG73i5I7tZn2Ouep9HMIGm32tOyi8VRGQAMt3IufGaw8UUt0loVhlsep5VlV4/KJby8DYDU6Ah43AG7I17Xh6Pp+KJOlzn34eDHwlGgaYWtF6SqDT67ZW9PYiw1I6nY7Q9xVuzjoOrMUodTtlRE5/2f9iNaLV0WRaODHdEw/AaqhP2jkmGPpbIueqgBf7i21KEIIbySy+Y7pXIWyqmMK+pCCNETrNngEBnZF5/mbZM1tT5L86xxDL5uGUa/8hjBsyOWkwTA9FfOhU/LTNJnxjJSoTook7WKy64elQsb8h1R8ZF9QeveTinP6yMEAy7/nBSd59zAJqBZZHMapm4XtqBMyqHxjuWsvWg4lHCakeg+ekax24Mx1l9cLzkvEhXUWXZ+X6L1g0oaR8WOF7zrrrsYOnQowWCQCRMm8M9//rPL4x999FFGjRpFMBhkzJgx/PWvf+3we9d1ueqqqxg4cCChUIhJkyaxbNmyYr4EIYQQQghRCg5g6+Qqoz+qYuUSBut+ui9OvGJPOcROcuI6q6aP8jznugJfq4NeHgPuRHdQ4E+4kvMi0hOKvWdvYNcZ76K3le4LsSK/IR555BFmzJjB1VdfzZtvvsk+++zD5MmTWb9+/XaP/8c//sG3v/1tzj77bN566y2mTJnClClTeP/999uPuemmm7j99tuZO3cuixYtoqqqismTJ5PJZLrrZQkhhBBCiG5gDHAYdNc/CTRIr1QxabrCPySJLMfYe+gGmEPTnudcRQxWX79nyda8Ed1PhXWWzOgrOS8mA1IDDTKDwyhvZ8nvlIrslPrVr37FOeecw1lnncWee+7J3LlzCYfD/P73v9/u8bfddhvHHXccl1xyCaNHj+YXv/gF++23H3feeSeQHyU1Z84crrjiCk4++WTGjh3Lgw8+yNq1a3nssce68ZUJIYQQQohiczYarLnoAOwNcrJTTHpY0e+/PkYPy1CH3kIPKxqmf+Z5zvWUw6BrPkKXndh6DT2lGHnnJsl5EamgzvLv96H5J7uXdIpkxX0TW5bF4sWLmTlzZvt9uq4zadIkFi5cuN3HLFy4kBkzZnS4b/Lkye0dTitWrKCpqYlJkya1/z4ajTJhwgQWLlzI1KlTdy5IZeXXoBFC9AzKAtfZ8i8HuTRYsVJHJYTwmhUvdQRC9ChO3GD9Nfuwyw0fY9RIx1Rv4MR11swcyaDZSyXnQpQ5I6HY89ZNaNpGVl23J6qmNLuSVlyn1MaNG8nlctTX13e4v76+no8++mi7j2lqatru8U1NTe2/33pfZ8dsTzabJZv9V+dTPJ5vzKY+XIxTLtvMCtGLVe3u0aJ9rgOZDaByoByIvQefPwaGN4uCrn7oOU/KEUJ8OW0Zu9QhiG5i9HMYdMfr+ENlsth1D6WbiuDem9Flg7FeQzchvE/c85yrsMGaq0d5W6goayqss3RaX6KyyHnRKANaR/jxB8Mos3R7jEuGv4TZs2dzzTXXdLhv3pX1tEWo0ImRQvQsm5rWeFKOjiKopQCFhsbaletZueJjLDzaTnpoaXe8EELkpdIyyrncDOpvENU3oWveLnaR2ASfXnUEI2cvIthQGeuHOkY+TkOrnF1gw5EMdedswjA9+r70QNnVo+4S7t/Wfru7d9/zvD5CUHve9tf53cqHg0kS3WehaYVty6gnHAZd/zFrLt9D1hjqJfSUYtTczay7sl5yXiQqqPPZ1NqS775Xcdnt168fPp+P5ubmDvc3NzfT0NCw3cc0NDR0efzW/5ubmxk4cGCHY8aNG9dpLDNnzuwwLTAej7PovgMwdKfgD1ghRPnTUOhaDnBx3dJdRRBCiN6mrlonrCXRPD5RV6YP3e8Q8scJapXRGZnT8yP5fFrljOhLJzTeu+w4xt2yADNqlTocoAzrUQOzOt8x5GoadHMzw+v6sFpN3r54EuNuea7TnOso/Fhouo1yC7uSr3TIRQ2UXPjvPXSwI5rkvIiMhGKvmzeiaRv47Ma9ZPpeoUzTZPz48SxYsIApU6YAoJRiwYIFTJs2bbuPmThxIgsWLGD69Ont9z377LNMnDgRgGHDhtHQ0MCCBQvaO6Hi8TiLFi3iggsu6DSWQCBAIBDocF8soUjmqtF8gU4eJYSoNDoOOnFAoZMrdThCCNFrvLfcYmTjEHweN1mt6iQD57xJa6iR1gpZ9saykgCYvsqZcpjR04QP3cAm/6Cy2da97Oox51KzfBMA8ca+dHevlNf1ofwQOXJzlzk3sOmnrSNrpzB1u7AZJmGDtZft4UmMojKooM6yc+tk+l4ROSZsHB/EDEdQgdJtv1eRGZ4xYwZnnnkm+++/PwceeCBz5swhmUxy1llnAXDGGWcwaNAgZs+eDcCPf/xjjjjiCG655RZOPPFEHn74Yd544w1++9vfAqBpGtOnT+faa69lxIgRDBs2jCuvvJLGxsb2jq+dsdntj3LL5ItOCPGl+bABDR0HQ7NZ4w7nndwhpImUOjQhhIeyuRRwd6nD6Fau63L11Vdzzz33EIvFOOSQQ7j77rsZMWJEp4+ZPXs2f/rTn/joo48IhUIcfPDB3HjjjYwcObL9mCOPPJKXXnqpw+POO+885s6dW7TXsjPspgDrrxnHwOs/ItgoOzsVi24qoqetQg9Ku7grrg+6fYhUkehB6Pudztfk/cLltjkM/vlHrP75KFR1RZ7CdiBzanZMTyj2vLOFNbPqe0TOy5Kps+akGpm+90V861vfYsOGDVx11VU0NTUxbtw45s+f375Q+apVq9D1f3W5H3zwwcybN48rrriCyy+/nBEjRvDYY4+x9957tx9z6aWXkkwmOffcc4nFYhx66KHMnz+fYHDn58A7+FHIQudC9CQKH+CiyGFjkiZCiupShyWE8JDVCxeEvOmmm7j99tt54IEH2i/KTZ48mSVLlnTaBnrppZe48MILOeCAA3Ach8svv5xjjz2WJUuWUFX1r86Hc845h1mzZrX/HA6Hv1CMdjpFzuftFVwHG63KQrlJrHRldErZmTJZA2knZNY7bJp1MPXXvYkRLY96Lsd6bNoLwMVvpbr9ub2uD6fVoPln+3WZ8xwOKS2LY9lohsOGWJzN1joydL4Dqp5R9GnQaG1Zh0p9+c/qtk3NOz6oSNqcTbx8MVTbG6B0YXRQyvroTLJ1A/F+eJbz7lCO9diV9GfNTLwHYD3vX9YXp9rb79pCP18qslMKYNq0aZ1O13vxxRe3ue+0007jtNNO67Q8TdOYNWtWh8aTEEIIIURP5bouc+bM4YorruDkk08G4MEHH6S+vp7HHnuMqVOnbvdx8+fP7/Dz/fffz4ABA1i8eDGHH354+/3hcLjT9T5Lzah16H/tPzCCoVKH0qNpwRzhY1eih8qjQ0oUnx5yqD7hc89zroI6y8+o9bRMUd5UED44BaqDldEhVYmcIKycAIFgCCcgu+8JIYQQQohutGLFCpqampg0aVL7fdFolAkTJrBw4cJOO6X+U2trKwB1dXUd7n/ooYf4wx/+QENDA1/72te48soruxwtlc1myWb/teh4PJ4fNeEPhfH5PF5Tam2QDbP2YeB1HxHcpbI6TMxQZU2FC5y0vixjlpiK9NwhCJ7aCnRenoFNWAuQ1XL4dejfr4Y+uYFdjkDX4zZDrviQVdeO9nQx5lJOWyr1lKntKaeYjIRizzmbWH3dgJItwP1FlVM97kjsa/l4o0Uo20onCzpOuh2FEEIIIXqhpqb8ui9blz/Yqr6+vv13O6KUYvr06RxyyCEdlkX4zne+wx/+8AdeeOEFZs6cyf/8z//w3e9+t8uyZs+eTTQabf83ePDgnXxFhdPDDr5+GYyIrOxSTE7MYM0FE3A2y3Xw3sLZbLDi+3t7nnNlaiTH1qDMnrH2ltgxZUDrSFNyXkRG3GHfn61n+NlvoW8u3Q6p8g3hMZ+u4cfasv6MEKIn8OFs2YHPQaNMtg8SQoid9NBDD3Heeee1//zUU0996TIvvPBC3n//fV599dUO95977rntt8eMGcPAgQM55phj+PTTT9ltt922W9bMmTOZMWNG+8/xeJxHrt8XP1l8eDuaKdwnzZDrXsdfSdP3tPwJg7+C2pjBqjR9v/MxgapE+VwJL8d6LGVMHj+3rwoGfH9llznf2q7yaTl0rcCO4aDBhh8O9SRGURlUUOez06JEg9JlUSxOUGfVV6sIVdeiqkpXz5Jhj9VGdPob63A1qVohegodRZAUGoqcbGIghKhQJ510EhMmTGj/eetUuebmZgYOHNh+f3NzM+PGjdthedOmTePJJ5/k5ZdfZpddduny2K3P+8knn3TaKRUIBAgEAh3u23OYSa3xOZrm7ZXy+IYg715xAuOuf4bI4ISnZReLMvMdc7peOW1MFXFg0jp0o3xiLsd6LGVMnj93EBqOXtXlIVvbVUG/g+MW9rx63GbXny7hsxv2rLipXOKLMRKKvX65kVU3Vt70vYph6myaWEW0fkBJwyifT+MeIpZQGM5AlK+CrrwJIbrkw6FOW7/lql5lrT0ihBBbVVdXU139rzVbXNeloaGBBQsWtHdCxeNxFi1axAUXXNBpOa7rctFFF/HnP/+ZF198kWHDhu3wud9++22ADp1fhViywmJ4v13webz7XjpkYw5pI17dj5Sq2/EDyoBt5Xcx8uuV08ZMN+dY/dMJDLv1bfx15fH9WY71WMqYvH5uu8VgxU/GdZnzre0qy07j13MUMkhLBXy0Ht4XFSijEW6iqBwTNh4QkpwXkdHqMObGFmA9K2/eC1VnliaOkjxrD5ZTLjYmiu1voyyEqDwuNmrLx6Uu0/eEED2EpmlMnz6da6+9lhEjRjBs2DCuvPJKGhsbmTJlSvtxxxxzDKecckr7rscXXngh8+bN4/HHH6e6urp9/aloNEooFOLTTz9l3rx5nHDCCfTt25d3332Xn/zkJxx++OGMHTt2p2JMZV1sAu2fwV5RVTn6X74EN1SF7WnJxWO5uS23KqeN6USS1J2/FFVjYJfJaUc51mMpY/L6uVUNDPjRZ13mfGu7Kuf68LkFtqsCOi1Tux6RKXoYU2fNidVEA2Uz+bfHcap0lk+tJlxbh6op3We0ZFgIIYQQope69NJLueiiizj33HM54IADSCQSzJ8/n2DwXyeon376KRs3bmz/+e6776a1tZUjjzySgQMHtv975JFHADBNk+eee45jjz2WUaNGcfHFF3PqqafyxBNPdPvr60x2dZA1508gs6o0V4V7C92A0LgYZTRTThSZbkDV+DbPc67HLIad9zZ6rHSLMYvuZbTlGHflesl5MRk6rWNDpA6oA6N0XUPyFSGEEEII0UtpmsasWbOYNWtWp8esXLmyw8+u2/XCxIMHD+all17yIryi8fXJYI5qxaiTk51icjb7aZ45nsG3fohRJtP3RHE5LQarfzLa85yrsMHmrzWgwnL62ls4AY11R4cl50VktDqM3TJ9b4VM3xNCCCGEEKJ7GBHoP/0jjFBVqUPp0fRqm/4/fQ+9ptSRiO6i1zgMvHoZeo3HnZCmTuyrDd6WKcqbqdN8VISoKZO7isWp0vnw/CiR2v4yfU8IIYQQQojuklm1ZfreysCODxZfnA561JIzjq7kXPouTtN3cQZyXY9CrAg6GLWO5znXN1sM/+Fb6Jsrf3Sj0eqw7+Xr0Vsq/7UUkxF32Pdn63tEzsuWDna1jtPHX9LPafmKEEIIIYQQvYpRlyF44AaMftlSh9Kjqdb89D0Vk8kZXdFyoPWEDilAxfLT97zOuaoy2PDdwaiqnvG3pJU6gArgBHVWnVzdY3Jejow2xdibNzPssg/RY6WbYi0Z9lhtRGeAbw2u7i91KEIIj+gowiTQUKhC9i0WQgjhiTHDTfr6VqHp3p7C5epsOH8NPn/ltNdyZn6fQF8FtTHt/jYNv2wiUJdDL5NL4eVYj4HhaQBCvrZuHzLgdX2oOuh322r8tZlOc761XRXw2yi3wBds6rQd2c+TGEWFMHU2HRiS6XtF5FTrvHtJH6r7NaBqS9c1JJ1SHrNsl7QbxnXLZ5tZIcSX48PBj4VGDo/Pi4QQQnShpU0RcqvQXW8vCLR+4mfl9Yew28/fIDI84WnZxeKoDABGBbUxLSdDpiVKpC5bNt+fZVeProvWlh8llXYj4HZvRXldHyoH6c3VhKrbOs351naVo0DTChshprdYDL3kA1aWcDFm0b2MVocxN7aw8ub+kvNiUeBvUxg+G6vWLNk8OumU8lgq69Km+qA0WThTiJ7CwCagWeg4GMi8diGE6C5rNjhERvbFp3nbZE0PSFI1+XOsgUHi5dI5sQOWkwTA9FdOGzO12aL5+vLafa/s6lG5sCHfexMf2Re07u2U8ro+nFaD1T/veve9re2qbE7D1O2CToRVjUHTtGElXYxZdC+nSmf5d2tAcl40RlIxem4r0Cq77wkhhBBCCNFdjCDUnrIGI1gmHRM9lNHHZtDc12SXw17EqHMY9sB7RShYJ7VvrfflivJl6LTuGSRqyPS9YnGiBm9eP4Bo/aCSxiEZFkIIIYQQvUpmZYg15x9EZnlljJKqVMqB9Nu1qPIYJCW6gXIgubja85zrLRa7nf2W7FjXixitDvvJLoXF5Sii76YJv94CjipZGNIpJYQQQgghehWjIU3tGcswGjOlDqVHU21+WuaORMVlckZvoeIG62/f1fOcqxqD1T/bQ6bv9SJOlc6HF9RKzovISCqGP9xGw9zP0OOy+54QQgghhBDdwwBfYwpkWkhR5afvLZLpe71Ifvre+94XrINT65chFb2JDnaNjmy+VzxO1OAtmb4nhBBCCCFE93I+D7Hphn1wVsn0vWJSFiRe6Y+S2Te9hrIg/mIfz3OuxxyGXfIBekzmgvYWRpti7I0tkvNishR9FyapXrAerNJN35ORUh4LBzSq9c24WrrUoQghPOLDwSSJRk568oUQohsN6m8Q1Tehaz5PyzWHZqi+vI2qXW2M7t3s7AtzjPxUQ6OC2piGpVg3bwKNB/4DM1AePVNlV4+6S7h/W/vt7t59z+v6sFImn92/NwPGfdZpzre2q3Sfhaa5BZWrao387mC1cvraWzjVOu9eVkeV5LxojIxiyJNJcJMk96tFmbL7Xo9g+jVCWgpXs0sdihDCIzoKPxYaCoW3J0ZCCCE6V1etE9aSaB6fqOvKJruuH6FhLRh+T4sumpyeb1v6KqiNadbZHHDvn/D5y6eSy64edVDD87GE9AR0cyep1/URqoODHnyiy2Pa21W6jXILvNynwIjZWDVGxc/1cap0Pv1uDchaSV1T4I8rUFR8zsuVU2Pw1nWln74n7wSPxRIKPTcIhcydF6KnMLDpp61Dx8HQyuNKrxBC9AbvLbcY2TgEn8dN1vgqxab79iE7ZBnB4ZWx2LllJQEwfZXTxswkkiSea6Tua63opbkAv41yrEfL3RKTWwWFDRzy7rk9rg9lQev8/kSP29Bpzre2q7J2ClO3C+pw0OMOg6/7OD9aqq5M/pi+KEOndc8gUVnTrktGUjH67hgrbh5U+TkvV5ai/uUkwchaYsc3UKoFvOSdIIQQQgghepXg0DSD5r5WMR1SlUqlDdr+ugsqJdfBewuVMog9PsDznKs6k0/v3Vc6J3oRJ2rw5vUDJOdFZGRdBr6Ups9Tzeip0q3dJZ1SQgghhBCiV3EyEPvzIBzpkyoqI+ow6M5/YtTKQsW9hVHrMOzeD7zPuaMIvxUDp3SLMYtu5iiiSzKS8yJyqn28/YsBrPjtvqja0nX+SaeUEEIIIYToVZymEMmnd8FZK7vvFZOydFofHYKSzr9eQ2Vg07wGz3Ouxx0a7lyBHpcOzt7CSCqG/yEuOS8mSzHoL3HqHloN2dJ1/kmnlBBCCCGE6FXy0/cWyfS9IlMZneSr9ShLTjl6C2XptL1Y53nOVZ3Jcpm+16s4UYO3ZPpeURkW9FucIfrqJvRsrmRxyDeEEEIIIYToVZwEbPr9cBJsQqIAAGv1SURBVJxEqSPp2Ywah8bbXseokek3vYVRoxj62yXe59xSVL+4ESz5W+o1LEXff6Yl50XkRHTeuWYAK+4eh6op3S6psuqgx3y6hh9Lto0Xogfx4aBv+achX4xCCNFdwgENP1l8eDt9Q99skPlnf7QTm/FHKmS01JbdX/0V1MZUWYdN/7s7DWetQQ+WyfdnOdZjKWPy+LlVRqf5wSHUn7Gq05xvbVf5tBy6Vth2g3rSof8fVpPcpwZlysiZ3sDIKIY83sbKQx3JeZHoGcXgx+L4gxYbzhwMwdJ0D0mnlMdqIzr9jXW4mlStED2FjiJICg1FjtJdRRBCiN5mz2EmtcbnaJrmabn9dncYdt+n6EbltNeUme+Y0/XKiTmDzpr3DqDOfh0zbJU6HKA867GUMXn93JZtsvKdvamz13aa863tqqDfwXELe17Vx2T57/b1JEZRGZwag7euG0C0j3RIFYvuQHSZjabF2WS5qBIts1g+n8Y9RCyhMJyBKF+o1KEIITziw6FOW7/lqp4stiiEEN1lyQqL4f12wefzdgRJuiXN+t/tzaBpn2JEPC26aGwrDYBfr5w2ph1MM/hXi4gFGyiXgcblWI+ljMnz566G4Xe9S4zOc761XWXZafx6joIGaVmK2mfWEzt2AJiyAk2vYCnq/54i83UlOS8SJ6Lz7pX9idYPKmkc0inlsZxysTFRyG4uQvQULjZqy8elXi6taiGE6AVSWRebQPtnsFfSLX6yH/Yh3VJDMFIeI3h2xHK3LkJbOW3MTNKl5f7dabhgHXq4PL4/y7EeSxmT18+tUjrrfzuYAeeu7jTnW9tVOdeHzy3s70JPOfR5oon4oXUylauXMLIuA59P8dlxMn2vWPSMYujDrRhmmubzhkK4NN1D0uUohBBCCCF6lcDgTH73vSGV0SFVqVylY6+qQskg487lXGo+ylLzURZyha2vVM6UA9bKkOc5V7UmK34zDlVb+Z0TRkIx9toN6HG71KGUNafax9u/GNAjcl62HAivcwiuTqGXbvM96ZQSQogdcfDT5A5hg9vIZrc/r+eOIUV1qcMSQgjxBTkJg/XX7YUTL3UkPZsv4jDwhrdk970dMOMKM94z6sioUQyZ85H3Oc8q6h7+HLI9oJ5yCiPlglP5nZBFZSkGPdXWM3JeplRE5/2Z/fnsV2NR1aWbRCedUkIIIYQQoldRcQN7dQQnLitZFJNK6Wy4ZU9USk45eguV0ll7/TDPc65nc0Rf3oSeLeFwDtGtDAv6vZ6WnBeRnlGMmLuJxuuXQqp0Q1rlm1gIIYQQQvQqZmN++p4Zqip1KD2bglyrH6XkSnhvoRTkWg3Pc65q/Kz49T4elijKnRPReefnA4jWyM7XRaPAn3DRfQ66Kt1+FPL9IIQQQgghehUnZtB0xT44MW939RMd6RFFw6x3MCIy/aa3MCKKwTcu8z7nGYf+v1sJGVmgrLfQM4pdH22VnBeRCuss+e9+rL5hL1SkdOOVZKSUx2ojOgN8a3B16dEVoqfRcXDcQKnDEEKIXmPMcJO+vlVouuZpuXE7QPPGINHkOiJ1SU/LLpacmV8U2VdBbcys47L05sPZc+ZCjKryOLEsx3oMDE8DEPK1dfuQAa/rw0kaLJl9MHvO/EenOddRhEkQ8Nsot7AXrFsuVe/G2WS5qPLZOFEUke5AdKlFXHJeNHpKMeJ3m/EZray7bA9UiXbfk04pj1m2S9oN47ryzhGip/FhoyGLUgohRHdpaVOE3Cp019sRTdrADHv9bj4+M0jarYyNKxyVAcCooDZmRjkoVyftRjDc8lgXpuzq0XXR2vJti7QbAdfbDtgd8bo+HNeHwtdlzn04+LFwFGhaYe0qVeNn5e1jPYlRVAYnovPuFf1l+l4vIJ1SHktlXdpUH5QmaxQI0dP4yRDUKuOKuhBC9ARrNjhERvbFp3nbZE2tz7J+9lh2+fmnGP3KYwTPjlhO/vvH9FdOG9Myk/S9/ENSoT6UyzWdsqtH5cKGfEdUfGRf0Lq3U8rz+gjDwFkrSdF5zg1sAppFNqdh6nZho8NSDvW/+4zmH+4KJRrNIbqXnlEM/WOcTRfWS86LRIV1lv6oL9H6QSWNQ9aUEkIIIYQQvYpr+XATfhyr1JH0bCqh03TVPjgJOeXoLZyEzurLRniecz0Hwc/S6OUx4E50BwfCax3JeRHpKcWev9zI4J9+gJ6Q3feEEEIIIYToFv6GLIPult33ik4HX9RGlz6pXkPXwRd1PM+5qjb47Ja9vS1UlDUV0Xn/p/2IVkuXRdHoYEc0DL+BKuHndNl8Rdi2zWWXXcaYMWOoqqqisbGRM844g7Vr13Y4rqWlhdNPP52amhpqa2s5++yzSSQSXZadyWS48MIL6du3L5FIhFNPPZXm5uYOx6xatYoTTzyRcDjMgAEDuOSSS3CcyhjOLYQQQgghCue0GKyZvj/ORjnZKSY9rOh/8RL0sOy+11voYUXj5Su8z3nKofHGjyEl52e9hZ5RjPhti+S8iFRQZ9n5fVl7+ciSTpEsm06pVCrFm2++yZVXXsmbb77Jn/70J5YuXcpJJ53U4bjTTz+dDz74gGeffZYnn3ySl19+mXPPPbfLsn/yk5/wxBNP8Oijj/LSSy+xdu1avv71r7f/PpfLceKJJ2JZFv/4xz944IEHuP/++7nqqquK8lqFEEIIIUQJOYCtk5NznaLKJQzW/XRfnHjZnHKUHx3ahvpJDPWX0ZnZF+fEdVZNH+V5znUFvlYHvQf0b6qAzqZ9A6hwD0h4MSnwJ9wekfNypScUe8/ewK4z3kVvk+l7RKNRnn322Q733XnnnRx44IGsWrWKIUOG8OGHHzJ//nxef/119t9/fwDuuOMOTjjhBH75y1/S2Ni4Tbmtra3ce++9zJs3j6OPPhqA++67j9GjR/Paa69x0EEH8cwzz7BkyRKee+456uvrGTduHL/4xS+47LLL+PnPf45pmsWvACGEEEII0S2MAQ6D7vqnTN8rMk1X+Ick0cvmjKMMaRrZAfkKMrt5kfNi0A0wh6Y9z7mKGKy+fk9vCy0RFdT57LQo0aC8MbqiwjpLZvQlGpF6KhoDUgMNDDOI8naT250No3y1traiaRq1tbUALFy4kNra2vYOKYBJkyah6zqLFi3ilFNO2aaMxYsXY9s2kyZNar9v1KhRDBkyhIULF3LQQQexcOFCxowZQ319ffsxkydP5oILLuCDDz5g33333W582WyWbDbb/nM8Hicc0KjWN+Nq6S/78oUQZcaHjVYu2wcJIUQvMKi/QVTfhK5521pOxGD5lYexxw2vEexve1p2sThGBgCjgtqY4ZoMdT/ahGEGSx1Ku3Ksx1LG5PlzV0HtT9Z3eYgPB5Mkus9C0wprV+kph4E3f8K6S3ZHyU5svYKeUoz4/WbWz6yXnBeJCuos/36fku++V7bZzWQyXHbZZXz729+mpqYGgKamJgYMGNDhOMMwqKuro6mpabvlNDU1YZpme8fWVvX19e2PaWpq6tAhtfX3W3/XmdmzZ3PNNdd0uO//zWogpKVwtcpo4AghCqfj4LiBUochhBC9Rl21TlhLonk8gkTp+U6ukJYiqGU8LbtYcnq+bemroDZmOqHx/s+OZZ8bX8CMlsdWh+VYj6WMyevntlpN3v3pUYy9ofOc6yj8WGi6jXJlCpsQpWIkFHveuglN28iq6/ZE1fhLE0dJnhV46KGHOO+889p//tvf/sZhhx0G5Bc9/+Y3v4nrutx9992lCnGHZs6cyYwZM9p/jsfjPH3HePTcIBQyHFyInsZPhqCWLHUYQgjRa7y33GJk4xB8HjdZrZokjXe8QWtoIK0Vsl6JZeW/f0xf5bQxM6Qx925lk38wuiqPii7HeixlTF4/t/LrBPdJdplzA5t+2jqydgpTtwtaS0uFDdZcPcqTGEVlUGGdpdP6EpVRUkWjDGgd4ccfDKPM0k0fLlmGTzrpJCZMmND+86BB+SFjWzukPvvsM55//vn2UVIADQ0NrF/fcTio4zi0tLTQ0NCw3edpaGjAsixisViH0VLNzc3tj2loaOCf//xnh8dt3Z2vs3IBAoEAgYCMmhBCCCFEZXJdl6uvvpp77rmHWCzGIYccwt13382IESM6fczPf/7zbUaKjxw5ko8++qj950wmw8UXX8zDDz9MNptl8uTJ/PrXv95mZHoh7HSKnM/b6Xvp1S4tN0yg/uo3MQZUxmrndqZ8ppsVKkea6m9/gOOGoEzCL8d6LGVMxXju6PfacFw6zXkOh5SWxbFsNMNhQyzOZmsdGeKdlqmnFKPmbuaj8/t4skB426bmHR9UJKV87s6UY0zpz5vZ93/h4wtVxSwKX4712JW25AZavwLVfWuhtRlavS2/0M+XkmW3urqa3Xffvf1fKBRq75BatmwZzz33HH379u3wmIkTJxKLxVi8eHH7fc8//zxKqQ4dXP9u/Pjx+P1+FixY0H7f0qVLWbVqFRMnTmwv97333uvQ4fXss89SU1PDnnv2jAX1hBBCCCH+00033cTtt9/O3LlzWbRoEVVVVUyePJlMpuspbXvttRfr1q1r//fqq692+P2Odj4uOb8D/lwZL2TRM6g2g/WXHoYTl4ruLZy4wdofH+B9znWwI1qP2KFQFEZpYFUhOS8iIwWH3Ab7XL0eI1G60axl8w1h2zbf+MY3ePPNN3nyySfJ5XLt6znV1dVhmiajR4/muOOO45xzzmHu3LnYts20adOYOnVq+857a9as4ZhjjuHBBx/kwAMPJBqNcvbZZzNjxgzq6uqoqanhoosuYuLEiRx00EEAHHvssey5555873vf46abbqKpqYkrrriCCy+8UEZCCSGEEKJHcl2XOXPmcMUVV3DyyScD8OCDD1JfX89jjz3G1KlTO32sYRidjiYvZOfjnREK+fH5vG2y+hocInMWEQiFgcrYZTlLfkRXIFQZ8QJoUUX1YU1Eojp6sDziLsd6LGVMXj+30iB75MYuc+5DI6IZWJoPv+7S2C9IY66aNJEuy05cWcvOj7XcviD5aYt96mt2cKT3SvncnSnHmDaTZO1/QX19balDKVg51mNXNlttxPa3CIar6L9LDQS87QHMpgv77i6bTqk1a9bwl7/8BYBx48Z1+N0LL7zAkUceCeTXopo2bRrHHHMMuq5z6qmncvvtt7cfa9s2S5cuJZVKtd936623th/770PIt/L5fDz55JNccMEFTJw4kaqqKs4880xmzZpVvBcshBBCCFFCK1asoKmpqcMOxdFolAkTJrBw4cIuO6WWLVtGY2MjwWCQiRMnMnv2bIYMGQIUtvPxzuirNWF4vPteS7OPpT8/ln1mv0C4sTIWOk9p+R2fw1rlXDBNBbL0/WYT4VD5xFyO9VjKmDx/7hAMOH1dl4foOES0OGnNwqcpBmnLsX1BLDrfpVG16Wy4agD9Z61Hr/7yIzqafDEAGny1X7qsSnruzpRjTOvScbhtd+qv+8STnHeHcqzHrjSFYnAKNBSp4y/lyxZ0XNl0Sg0dOhTX3fGWoHV1dcybN2+nygkGg9x1113cddddnT5u11135a9//WvhAQshhBBCVLCtI9K3twNxV7sPT5gwgfvvv5+RI0eybt06rrnmGg477DDef/99qqurC9r5eHuy2SzZ7L8asPF45+vLfGmmwhfJopuVcaJTqaxWk48uP579fvU8Zm157L4nisuKmbw542jvc+5T+He1wCfv2V7DAAalJedF5MZ9cMMerEOj/y1NGLWlqeuy6ZTqKXy6hh8LhbdX9IQQpWeQRSdX6jCEEOIL+c+dj5966qkvVM7xxx/ffnvs2LFMmDCBXXfdlT/+8Y+cffbZXzi+2bNnb7OA+i8v6IcPB50dX7jcGVV9Lfa55UlCZTKlrBA+Lf/9o1MZC7MDBMIODV9dghnOoFMeJ5blWI+ljMnr5zbDisEnL+0y5/nnUmiaS6H7felhqJve4kmMojJoQQXfX40eri11KD1XMAdHrqcqEkIPy5pSPUZtRKe/sQ5Xk6oVoqfRyWG5oVKHIYQQX8h/7ny8dVRSc3MzAwcObL+/ubl5m6UUulJbW8see+zBJ598AhS28/H2zJw5kxkzZrT/HI/Hee9/JxDxxdE1b7eqtjdE+OfPvs7E6/9M9eA2T8sulsCWUV2GVjmr/gYiiropb2D4yifmcqtH14WAlf/79gVTePynvkOe10cARk3ZUeeRi6FZBA2FcrWCLvfl4jobLh9A/+vX46spjw7OL8rN6HD/ENQlMfRwqaMpX25Ch1tGkLthQ8XnvFxpJnDsJmpKvG6X9Jx4LJZQBJx+KJ98wgjR0xhYmFqWEElyFbIwrhCicD5SOz6oglVXV1NdXd3+s+u6NDQ0sGDBgvZOqHg8zqJFi7jgggsKLjeRSPDpp5/yve99D+i48/Gpp54KbLvz8fYEAoFtNphZssLC6bcbuscLnacMG6Nfmo1Vg4mp8hkx0xUrm99a2wxWzsWRVHOOz356CLvf+gb+PuVRz2VXjzmX0AcJANIHRMDXvb1SXteHvdngk5/s32XOfdj00TZi2xl8eo5mbTjv5A7peqFznyI6Zj1rfSMg9+U70Dbn8uterc0N3MGR3mtLrWGPFWneTe6FCpTH6Xgp66Mzm7U1NI60WOc7xJOcd4dyrMeutG1ew4gb06x1Yf0vh6L6ePv3mM2lgLt3eFx5vAt6kJxyqdZa0bTKWDRTCFE4HQdDs9jb9xoW0vEsRE9T6IKcPYWmaUyfPp1rr72WESNGMGzYMK688koaGxuZMmVK+3HHHHMMp5xyCtOmTQPgv//7v/na177Grrvuytq1a7n66qvx+Xx8+9vfBiho5+NCpbIuaSL4PG6yOtEk9de+ixOqKqNJXF2z3HxnhaKqxJEUzgoliX5nOXZVsGwmv5dfPbqYW0YtZohAwRPavOF1fagq6Pv9NV3m3MD+/+3deZhUxb0//veps3TP3swMM8MgqwuILOKGJEb9Bn5CJO5fczVG1BBR4xKjF5XrQkSNW3I1LgnfJF6MV4yJ97pFjQnuiUFQBBFBVBgWgWFghll7Pafq98fQPQzM0gzn9DL9fj1PPw90V59TXZ+e7qpPn6qCjRZElQNLATFYCKEQQRR18wwAfiD4oxJX6ggAYbSvWdfjOT0SRh6AEIIogMyQHznT2R7dCfuLsOF8oMTvXty9lont2JNWfwE2f1cgryiA1oISAO4m/6JJHo9JKSIiIqIcddNNN6GtrQ2zZ89GY2MjTjrpJLz++uvw+zt2wVq/fj127dqV+P/XX3+NCy+8EPX19Rg4cCBOOukkfPDBBxg4cGCiTG87H6dbdJsfO+dPwKB7Pof/kGxJS2UfYQGF39oJYWVKAoi8Jiyg+NTd7h+3OYZht6zBpvvGQBabrh+fMo/RKnHUL3Zh8/0VjLlXLIH6yQUoqaxIazWYlCIiIiLKUZqmYf78+Zg/f363ZTZu3Njp/88++2yvx01m5+N0EsU2zCGtMIqZkPKSvdvEjrnHYMhDn8MoZVvnArvBwJafjnY95tKno+nkMkgfN5PKFbYF7Do+jzH3kNFkY9z9DQDqsPHBoyBL03PlHpNSRERERJRTjEIbFbd+BiOPV/B4SRTFUHrlOggm/3KGKLZRcd0m92PuE2i44BB3j0mZzRLYOqMIJb7sWE8qG9kFAhsuKEJ+oBSyOH2pISalPLBbDYRU7OQQ9TcGIvCjDaudE9GKAemuDhG5LNkFOSn7Rbb4seueCRh01xfwD42muzr9ljCAvKMbIQz2i3OFMICCY93f0VI0RjHs5jXYdP8YyEBmrMNE3jJaHIx9oB6bHhjImHvFEGganwdUlqa3Gmk9ez9lw4QE570S9TcaHDgwEEJB1ixgSETJS3ZBTsp++oAwrNFNMEqZkPJS+/S9YzHkobWcvpcj2qfvHel6zGW+gd1nVEHmc/iaK2yfhu3fzmfMPWQ02Ri/Z/peDafv9R+BQoEKfSuUYFKKqL8RsGErX+8FiYjIFeNGWijTN0MT7u5I5pTGMPSmrdDN7OmvOVYMAKBnUR8zVhZD6W1NKAq0QmRIzjcT29E3MgQAyNNb3N78qldut4cMAMV31qEg0NRtzAUk8tEKnxmDVEm+YEug8btVrtSRsoQlsOP/FKLEypAPj37ILhBYe2UJCgMDOX2vP4nGFEIqH0r5ey9MRFlFRwwaVLqrQUSUMxpaJPJUAYRyd6Hb5hoDNXedhMPmf4iC4W2uHtsrtgwDAIws6mNGEYZdDIS0IogM+frMuHZUClpLe+OEVCGg3E3A9sbt9pAaIEuMHmOuw4aJKGwJaFpybwyxO4rhcz5rX4x5AKdy5QKjuX0R7o0PDmTMvSKAWJGAPcBMeUJ8b0xKuSwYUWiRAyA1zp0n6m9MhOHXsmPwQkTUH2zdaaNwVBl0zd0ua7CkDf4TdiJSlgdH5bl6bK9E7fbvH8vMnj5msD6acdP3Mq4dpQJ2tieimkeVAVpqk1Jut4e9u/fpewZi8GlRRBwNloglNRiWBQZ2/mAIZAGHr7nC9gtsPquIMfeQ0SIx/sHdAHZz+h4RERERUaoYhUDZDzdw9z2PiZIYKu9dDsFFirunAeFyvf0fqc1HeUIEbAx5aC1EwOUkpCXQcmq5u8dME2mK9phzWlrPLIH6E/I4fc9DdpHAqjkDUFReBRlIX2qIESYiIiKinBLemIetV05CeEOGTOHqryQgmyxAprsiGUxoaB1poXWkCbi8dlpaSMBuNFyPuWiIYuSsFRAN2b85gcwXWHNDGWQhrw/pidFkY+J/1PWLmGcsCZgtEsbuWFo/p5mUIiIiIqKcYlSFUDDtaxjV4XRXpV+TLSZ23jcOspmD71whmw1sv/Nw12Muiw3UXjMirYsxU2rZBQIbflDMmHvIaJM4ckEThtz3FURz+qZYM8JERERElFMMPxA4ZysMP6fveckYEMPgBR9wmmQOMUptjPjDpx4cWCA4MeD+cSlzGQJNY/woMXgdjVfsEgMf/7wCJZWD01oPRpiIiIiIckr79L0TOX3PY9IGQisDkJmxxjmlgLSBtuVFrsdcNERxaD+ZvkfJMZpsHMPpe96yJUpWhZD/YQNgp2/+Hq+Uclm+T0OR2A2lhdJdFSJymY4YNGTIntZERDlg8EADJaIeQtNdPa51SBjWpUDp4AYYWbKMj220TzU0sqiPaQQVti+YhMrR/4JVmhkDy0xsx3TWye1zR1ssbHpkLI58uPuY67BhoQ1Cj0LTkutXyWIDW249glO5cohdILD2qgAsxtwzRpvEyGdbALRg44OF3H2vv7BMDXlaEEqLpbsqROQyARu28qW7GkREOaO0SCBfa4OmuZs5ElYM4pCdyDODWZOUckR731LPoj6mVR7D8f/1PHTTTHdVEjKxHdNZJ7fPnVcGnPjff+mxjICEiSg0EYNUSU7cEYAdMDnPJ5cIIFYsuEmhh+wSAysyYPoek1Iua2yVEM5gSHDuPFF/YyIMv9aW7moQEeWMTzdEMap6KHSXu6zNGyTq75uAQfO+hH9kdix2Ho22f/9Yevb0McOtbQguHYjAqUGI9PwAv59MbMd01sntc8so0PqvASj8xu5uY24ghnJtOyKxICwRSyrRJBptjJjzGWoePCptV3NQahktEuPvb0DNg4MYc69EJcqWh5BXVIeWb5UjXRlA5h2JiIiIKKcYh4RQdssnMIZmR0IqW8mggaZnRkK28XfwXCHbDNQ/Odj1mMuA0Z6QCvC9lCvsIoFVN5cy5h4ywhJDX2nDwGe2QrRx9z0iIiIiotSwAWdbPjAizN6wh4yAjcG/Wcrd93KIMcDGiCdXu39gCRiNMUSLDV5WkSskYDZLQIIx94hdbGDFPemfvsfwEhEREVFOsWvz0PjU4bC3cfc9L8ko0PxaNWRmrHFOKSCjwO6XB7oec9FsY8g9X0A0cyvHXGG0SRz5m0bG3EtRico3WhB4aRsQTd/ue0xKEREREVFO8Q8PYfCCD7JmPalsJUMGWl47BDLIy9G6pQCz0YHZ6KA/bPArgwYaX6pwPeay1ML6Jyb2j7WFohKVb7emNQmQDewSAx//vKJ/xDxDGRGFQe+GMODVHRDB9CX/mJQiIiIiopxih4HGFwbDZk7KU0aJjcGPLYMR4JUO3ZIKJV9EUfJFFJDZn5UyAjZGPPGZ+zG3JfJXNAJ29idyjJDE4MVBiFb+XfTIlihZE+4XMc9UdpGOlXdVoOa3EyED6Uv+8WcLl+lCg4koJPR0V4WIXGYgAgEn3dUgIsoZ+T4NJiLQ4e7gTdSaaPvbISg9sRFmtlwtpbXPhzKzqI8pYzZ2vzQMFefXQfgzZGCZce2ooPtiANp3+QW01J7e5faQYYFdz1ej/Nxt3cZchw0BG7rmQGjJJeJEs42qx2qwkbvv5QyjTWLk083YOMFmzL0SlRj8eiusfImG/zsY8KXnmiUmpVwWKBQYaGyH0ti0RP2NgIOoykt3NYiIcsaYERYCxtfQNHcH6uWjbIxY+BWEkT39NWm1J+aEyJ46h6XAln9MwuizV8LKz4yFpTKuHTXAGtGeGM03WlKek3K7PaIxCxveGY8jzvio25gLSPgRhN+0YavkzitLLWx4YqIrdaTsYJcYWPHzCpQwIeUZIwqULw9D0yJoPKMKkkmp/qGxVcKwB0HqHLgS9TcGIrC0SLqrQUSUM9bURDGy/BDourtXtYQaQqj/0+GouuRrGIWuHtozsWgIAGCK7OljxvwhDHtkCRr9Ve07aGWAjGtHR6GwphEA0FoeAPTUZqVcb48i4LDfrkQjuo+5DhulWh2isRBM4SCpi7SiEkX/akDLN0oBiyvQ5ISoRNnKCOxpkjH3iF0o8Mmd6d99j0kplzlSIQYLEtzNhag/MlyeQkJERN0LRhRi8EG63GUN1psILqtCaEYL/IXZ8WNDVMWnj2dPHzMcUmj843BU/HBnxkzfy7x2VHAiJgAgBj9SfamU2+0hwwL1Tw1C2czt3cZcIQYJA47Soavk3heizcbAp7egbUIxpMUrZ3KBEZYY+lILNp5kM+YeEWGJIS82w/RHsfOSIYA/PekhphyJiIiIKKf4h4YxeMFS+IdnR0IqW8moQHj1AMjMmLlHKSCjQPCTYtdjLgdY2PD7iZADmJzIFXaxgRX3VDDmHhI2UPJlDAWrmyGi6dtogUkpIiIiIsopdiuw8+HRsFvTXZP+zSi2Uf3L5TCKM+MqKfKeUSwx7PG17sc8KhF4pRaI8r2UM6ISlW+3MuYesgsFVt0+EBsfnQBZbKatHkxKEREREVFOcXb7Ef28BHYDf4H3kgwK7Pr1EZBBDjlyhQwK1D48zPWYi6CNAX+phQhyGYVcYUQUBr0VZMw9JMISI5/cjcqHvgLS2M5cU4qIiIiIcopvSPv0PSuvIN1V6deUFIhtLoC0+Ut4rpA2EN2Y53rMZcBCzf872sUjUqazi3SsvKsCJQH+eOAZG8jfbkOIIISTvv0o+P1ARERERDnFbjVQd89RsJvTXZP+TS+0Mei+FZy+l0OMYomhD3/ufswjEqXPfg1E+F7KGVGJwa+2MOYekoUCq+cOxKb/HA9ZlL7rlXillMsChQIV+lYokb45mUTkDQEbtvKluxpERDlj3EgLZfpmaMLdHcmaQz7s2FKIkpY6FAbaXD22VxwrBgDQs6iPGbEVvnzkGxh944cw8jNjCk4mtqN5RAiAhjy9JeWXDLjdHnbQwLqHTsCony7rNuYCEvlohc+MQarkXrCIOCh5rx6Np1dC+rL8ugqhQerg5SG9MKJA+YchBP+vk/0xz1AiLHHok7thmK3Ydv2hQH560kNMSrksGlMIqXwolSnbzBKRW3TEoCF9O1MQEeWahhaJPFUAoXRXj6sNCuOo378O3fIjpIpcPbZXbBkGABhZ1McM2zaiTXkIOUUwVGYkpTKuHTWgpbw9IWRofqS6m+F2e9iOgWhjzzHXYcNEFLYENC25FyyLTdT8eoIrdUw3TktLjl0o8MnPKlCSxgW4+z0JmK0KQrchZPqm7zEp5bJgRKFFDoDUuEYBUX9jIgy/lh2/qBMR9Qdbd9ooHFUGXXO3yxrcFcGuXxyF6ttrYAQcV4/tlajd/v1jmdnTx4z62zDwztUI5gVSnmzpTia2Yzrr5Pq5C4Dq+zcgiEC3MTcQg0+LIuJosEQsuSuGwjYGPv01dv7gEMDPIWwuEGGJIX9pQeOPKhlzj8h8gTX/Xo6SysFprQevgyMiIiKinCKDBpxdftit7k4LpM5kUGDHPWPhtHHIkSucNoGtdxzmesxFVKFgVTNENEOym+Q5YQMl66KMuYdEUGLUI/UYPG9NWnc5ZMqRiIiIiHKKVc3d94iyiSw2sfGR8emuBqWQXSiw6raBnL6XA/izBRERERHlFLvBwLY5x8Dexd9nvSTyJSpvXQ29gLtn5Qq9QGLw/K/cj3nQRuUj64E0Xs1BqSXCEiOfamTMPSTzBdZdV4atd46BTNMi50AGJ6WuvPJKaJqGhx9+uNP9DQ0NuOiii1BcXIxAIIBZs2ahtbW1x2OFw2FcffXVKCsrQ2FhIc477zzs2LGjU5nNmzdjxowZyM/PR0VFBebMmQPb5h8AERERUX+jojpUqwk7mu6a9G+yVaD2jgmwWzN2yEEus1sFttx8uOsxFw7g3xSCyI4l4MgNNpC/zWbMPSSCEmN+sQtDbvkMojV9uY+M/IZ44YUX8MEHH6C6unq/xy666CJ89tlnWLx4MV555RW89957mD17do/H++lPf4q//OUveO655/Duu+9i27ZtOPfccxOPO46DGTNmIBqN4l//+hf+8Ic/4Mknn8Qdd9zh+msjIiIiovQyqyIY/Jul8FfzB0hPCUAviUFk5IiDvCAEoJfYrsdcFhnY9MuxkEW8ujFXyEKB1beUM+ZeEkCsUINTbECm8XM64yK8detWXHvttfjb3/6GGTNmdHps7dq1eP311/Hhhx/iuOOOAwA8+uijOP300/GLX/yiyyRWU1MTnnjiCTzzzDP49re/DQBYuHAhjjzySHzwwQc48cQT8fe//x1r1qzBG2+8gcrKShx99NG46667cPPNN+NnP/sZLCv57TrzfRqKxG4oLXQQrUBEmUhHDFqmbB9ERJQDBg80UCLqITTd1eO2NjnYMO8UHPHzD+Avz47ElG2EAQBGFvUx84vDKL35fRiWP91VScjEdkxnnVw/dwEQuLWuxyI6bFhog9Cj0LQk+1VBG9WPbsC2a0cCaZxmRKkjwhKHPtWIuhsrGXOPSL/Al1eWpX33vYyKrpQSF198MebMmYOjjjpqv8eXLFmCQCCQSEgBwNSpUyGEwNKlS3HOOefs95zly5cjFoth6tSpiftGjx6NoUOHYsmSJTjxxBOxZMkSjBs3DpWVlYky06ZNw1VXXYXPPvsMEydO7LK+kUgEkUgk8f/m5mZYpoY8LQilxfrUBkSUuQRs2MqX7moQEeWM0iKBfK0NmubuLnlS6lAxgTwnBL8WdvXYXnFEe99Sz6I+ZrhNw2c/m4Jxd78Lqzgz6p2J7ZjOOrl97miziU9vOxXj7n6n25gLSJiIQhMxSJXc5RlCAnqTDSEBrlCWIyRgtirG3EOiVWLMo/UQoh5b7hyTtqvSMiopdf/998MwDFx33XVdPl5bW4uKiopO9xmGgdLSUtTW1nb7HMuyEAgEOt1fWVmZeE5tbW2nhFT88fhj3bn33ntx5513drrv9zdVQDiDIcHdXIj6GxNh+LW2dFeDiChnfLohipEDyiF0d6+UiuWFUPHL97DTXwy0Fbt6bK/Ewu1Xspj+vDTXJHmRUARadRDbI2UQbZkxrMzEdkxnndw+t4wIiCGhHmOuw8YATcKOhuE3bOxsa8bu6HaE0dzjsXf/pARo2wG40BVrqd/ReyGPpPPc3cnIOoV2YuklQJFLMU+FTGzHnrQ17URzGWCYBpoatkMG3Z3DF/986U3aZg4uWrQIhYWFidu7776LX/3qV3jyySdd/zXMK3PnzkVTU1PitmXLlnRXiYiIiIh6Ye8yUffvJ3P3PY8Jv0Tg8k8h8jMjIZWpNKf91h+IfInyH3/hesxFUGLUY/UQwX7wXpKA1QJA9oPX4iERBo75b/SPmGco6Qc+Ow/YcNkASH/6FpVK2zfxmWeeiUmTJiX+/9xzz6Gurg5Dhw5N3Oc4Dm688UY8/PDD2LhxI6qqqlBX13mOsm3baGhoQFVVVZfnqaqqQjQaRWNjY6erpXbs2JF4TlVVFZYtW9bpefHd+bo7LgD4fD74fJzKQ0RERNlJKYV58+bhd7/7HRobG/HNb34Tv/nNb3D44Yd3+5zhw4dj06ZN+93/4x//GI8//jgA4NRTT8W7777b6fErrrgCCxYsOOA6mnn50HV3u6y2PwJogOkvgJmXHWtKxVl52XM1vt1soO7OCTjkvi9gFGfWwDJj2tFRKF/WfjVB80n5gJ6eH+fdag+7WWDr3FEYfO+6bmNuIIZ8zYeI5sAUwMDyYgxwBiGIom6PK4I2dKMNJZWDXN26Ph1r6RhNNsY/1ICaByshS5NfuzgV0r220N5EUEIYu12PeSpkUjv2xGiVGPNQPTRtFzbfMway2HT1+NFQcpe4pS0dVlRUhMMOOyxxmz17NlatWoWVK1cmbtXV1ZgzZw7+9re/AQAmT56MxsZGLF++PHGct956C1LKTgmuvR177LEwTRNvvvlm4r5169Zh8+bNmDx5cuK4n376aaeE1+LFi1FcXIwxY8Z48fKJiIiI0u6BBx7AI488ggULFmDp0qUoKCjAtGnTEA53v87Shx9+iO3btyduixcvBgCcf/75ncpdfvnlnco98MADnr6WA2GU2xj86IcwB2ZXQirbCEvCP3Y3RGaNu8lDwgLyJzS7HnOZb2DrvNFZl5ygvpP5AuuuKWPMPSQNoOlwE21jiyGt9M1Wy5gNWsvKyjB27NhON9M0UVVVhVGjRgEAjjzySEyfPh2XX345li1bhvfffx/XXHMNLrjggsTOe1u3bsXo0aMTVz6VlJRg1qxZuOGGG/D2229j+fLluOyyyzB58mSceOKJAIDTTjsNY8aMwcUXX4xPPvkEf/vb33Dbbbfh6quv5pVQRERE1C8ppfDwww/jtttuw1lnnYXx48fjqaeewrZt2/Diiy92+7yBAweiqqoqcXvllVdw6KGH4pRTTulULj8/v1O54uLMWbvJrjOw9eoTEKnlYMdLwi9RetkGCH9mXSVF3hF+iYGzt7oec9FqY8h/rIFoZSI5V4igxJj/rGfMPST9ApsuCGDnFSMAf/q+DzMmKZWsRYsWYfTo0ZgyZQpOP/10nHTSSfjtb3+beDwWi2HdunUIBoOJ+x566CF897vfxXnnnYeTTz4ZVVVVeP755xOP67qOV155BbquY/LkyfjBD36AmTNnYv78+Sl9bURERESpUlNTg9ra2k47FJeUlGDSpElYsmRJUseIRqN4+umn8cMf/nC/NUEXLVqE8vJyjB07FnPnzu3UN+tKJBJBc3Nzp5tnDACmhMuzAmkfdrOBbT85HnZz1g05qI/sZoGNs8e4HnMpAKfEgORbKXcIIFaoMeYeMlolJsyrw4irVkI0p29H0oz+Kt64ceN+95WWluKZZ57p9jnDhw+HUqrTfX6/H48//nhinYOuDBs2DK+99lqf6xqnCw0mopBwd5cYIko/AxEI9JOVSIko58V3GO5qB+Kedh/e24svvojGxkZceumlne7//ve/j2HDhqG6uhqrVq3CzTffjHXr1nX6UXBfXe1q/IurymEiAh3u/lKeXxbCiF/9K6N2YOuVFgUAmFnUx/TnRVD0rW3wWWGITNnUPePaUUH3tQ8GTYQBpHgKjcvtoVsCJafW9RhzHTYEbOiaA6GpLsvsJ9/AtpuPcKWOlB2kX+DL2aUo4fQ9z9gWsOtYP6z8Qkhf+j4TGWGXBQoFBhrboTQ2LVF/I+AgqrJoAENEtJdFixbhiiuuSPz/1VdfPehjPvHEE/jOd76TWEYhbvbs2Yl/jxs3DoMGDcKUKVOwfv16HHrooV0ea+7cubjhhhsS/29ubsanf5yEgPG16zszt9T78cmt38HE+/6Ogurs2GtcWu2JOSGyp48pC20MvmgrhJE5dc64dtQAa0T7Gm75RkvKc1Kut0c+UPWDjT0WEZDwIwi/acNWyZ1XtNgY8rPPseVnoyGLMiR25CnRKjHmsQZsnV/JmHvFEth6ZnHaF2ZndF3W2Cph2IMgdQ5cifobAxFYWiTd1SAi6pN9dz6ORNo/z3bs2IFBgwYl7t+xYweOPvroXo+3adMmvPHGGz1e/RQXP+9XX33VbVKqq12N19REMbL8EOi6u7/ghrQYRGEMjUYl2mR2rFcSi7bv0GaK7OljhnbGsOU/TsTIX34CI5AZ7Zxx7egoFNY0AgBaywMp333P7fawGw3U3DgBI3qIuQ4bpVodorEQTOEgmYu0pA6Eh+VBZsoFbuQ9AwhWG4y5h4wWB2MfqAdQh00PHAUZSM+uFExKucyRCjFYkPCnuypE5AHD5SkkRESpUlRUhKKiji3XlVKoqqrCm2++mUhCNTc3Y+nSpbjqqqt6Pd7ChQtRUVGBGTNm9Fp25cqVANAp+ZWMYEQhBh+ky11WOcDBoAdXAHkFiGVJdziq4tPHs6ePafsdFJ3+NZx8AypD2jnz2lHBibRvwx6DH6m+VMrt9pD5QMlZdT3GXCEGCQOO0qGrJKd15hvYcV3XCW3qn6RfYMPMAKfvecj2adh+Sh78hcVp3eWQy4YRERER5SBN03D99dfj7rvvxssvv4xPP/0UM2fORHV1Nc4+++xEuSlTpuCxxx7r9FwpJRYuXIhLLrkExj5Ts9avX4+77roLy5cvx8aNG/Hyyy9j5syZOPnkkzF+/PhUvLReRbf5sfXKSQh/zcGOl4QFFJ++DSI9P75TGggLGHDmTtdjLppjGH7dqrQuxkypZbRKjL97J2PuJUtgx9QiNJ5VDVjpSw0xKUVERESUo2666SZce+21mD17No4//ni0trbi9ddfh9/fcdXE+vXrsWvXrk7Pe+ONN7B582b88Ic/3O+YlmXhjTfewGmnnYbRo0fjxhtvxHnnnYe//OUvnr+eZIl8G3p5GEZhkossU5/YjQa2XjUJ9m4m/3KFvdtAzaVjXY+5tDS0jS+GtFK86BaljTSAplEWY+4ho9nGxFvrMHLWCojd0fTVI21nJiIiIqK00jQN8+fPx/z587st09VuyKeddtp+ux3HDRkyBO+++65bVfSEEbBRdfcnMPIK0l2Vfk3k2yj5/gaIAk59zxWiwEbZpVvdj7nfwM4fDXf3mJTRpF9g0/klKPEzZeEV2y+w+bsFyCsKQBZw+h4RERERUUpw+l5qCAso/Jb7U7n6FV1D/TF+1B/jT/ki514QFlB86m5Ppu+N+PEn/WIql10ksOrmUsgAP396YrRKTPhZXb+IecayBOonF6BlSgWn7xERERERpYootmEOaYVRzCt4vGTvNrH1ykmwGzj47okyNCgj+xNSAGA3GKi5ZKzrMZc+HU0nl0H6+sFWbELALjEAwaF4T2wL2HV8Xv+IeYYymmxM/I890/caOH2v3wgUClToW6GEme6qEJHLBGzYytd7QSIicsW4kRbK9M3QhLsDdqc0hqF3boJuZk9/zbHarxbQs6iPGSuLoeiaMEoD9Rkz/s7Edkxnndw+twwAedc3IxDY0W3MBSTy0QqfGYNUSb4xfAINFxziSh0pS1gCW2cUocSXIR8e/ZBdILDhgiLkB0ohi9OXGmJSymXRmEJI5UOpTNlmlojcoiMGDVwUl4goVRpaJPJUAYRy95fylk0GNtx5Eg6/eynyh4ZcPbZXbBkGABhZ1Me0RRi+o5sR0YuQKV+fmdiO6ayT6+fWgbxjgoig+5jrsGEiClsCmpbcG0M0RjHs5jXYdP8YyADng+YCo8XB2AfqsemBgYy5VwyBpvF5QGVpequR1rP3Q8GIQoscAKlx4Uyi/sZEGH6tLd3VICLKGVt32igcVQZdc7fLGixqgzW6CeEBBbBVdvTZonb7949lZkd9ASC4M4odc4/FkIfWwijNjKmSmdiO6ayT2+e2Gwxs+emRPcbcQAw+LYqIo8ESsaQWlJH5BnafUQWZz+FrrrB9GrZ/O58x95DRZGP8/Q0A6lDz4FGQpelJ/jHCRERERJRTjEJg4PWfc/c9j4miGAbe8ilEcbprQqkiim0MmvclhNvrtVkCjd+tcveYlNksgR3/pxAlaVyAu7+zCwTWXlmCwsDAtE7fY4SJiIiIKKeEN+/ZfW8j1wn0lABESZQjjlwiACNgux5zsTuKkT9aAbE7fYsxU2oZzTYm3lrHmHtJALEiAXuAmdbPaX5FEBEREVFOMUrD8J+wE0Z5JN1V6ddkk4kdc4+FbOTkjFwhG9un77kdc1lgYOcPhkAW8L2UK2y/wOazihhzDxktEuMf3I0RN6+FaEzfFGtGmIiIiIhyilEIlP1wA6fveUyUxFB573IILlKcM0TAxpCH1kIE3J++13JqubvHpMxmCdSfkMfpex6yiwRWzRmAovIqyAB33+s3HPgRiVmQkk1L1N9ImIDmg2ZHoSM7dmsiouQZDq+ayRXhjXmov288Bs37Cv6R4XRXp/+SgGyygApwfkaukIDdaMAqdncKn2iIYvicz7AxjYsxU2oZTTbG3d+AjQ8OZMy9IgGzRcLQY4gGrLR9TjNz4rKmvP8PzbsCgNZ7RB0lIJWA0CR0TSb9mJuU0uCo9rrqwoGW5GOu1gGAI9u3etY12Wlr2J4ecxvjsec8YDzi9m/z9tfrU1/DVNuhKQeABiXc3ap8X5p0ACgoTQc0LenHXKUkNCWhNLH/51tPj7laB9V9m/f0mMsYj/h5+l88lPTu84T6ZvBAAyWiHkJz931kHRIGvlOA0sFfw/DwT9VNttGePDO07PlRxAgqfHnfiTjy4fdhlWbGujCZ2I7prJPb5462WNh057geY67DhoU2CD2adF9SFhuovWZEWhdjptSyCwQ2/KAYYMw9Y7RJHLmgCUATd9/rT6Tmh6XZ0EXPHduoY8G2DfiMKCy96w/sqGMhYlvQDbvbMgfDkTpCTh6EJpFnBLvsrztSR8jOA5TotszBUAoI2fmQSkOeEYIunP3LaO1lYlLvtszBYjzaMR4duouHggYldUjNAJSAYYcBJeEYPsD1VKGCbkegKQnb8HedYNAFdDsCIaPdlzlImoxBd2JwdBNKmF0U0Hsvc7CUhOFEoDQBx7CwX1trYDwSBRiPhAOOh3eJduqb0iKBfK0NmstfeFZ+DMXnfwLd9ODvwyOOiAEAdC2W5pokzyqP4fj/+t+MaueMa0cJmLtCADTEBsVSfqWC2+2RVwac+N8v91hGQMJEFJqIQaokX7AhEJwYOPgKZgCjxcHYB+qx6YGBkJza2j1DoGmMHyUGL7P0il1i4OOfV6CkcnBa68GklMscB3BgtP9C3Y2YrSPmGDANG8IQsOHvspwwAAMKYScPDkyYhnuDfyk1RBwLmpAwDQlH67oO0AFLcxCxLbQ5RfAZMdcSIUoBEceEgoDPjEIJEza6GmABpikRsXUEnUL4tCiEcG/gwHi0Yzw6dBcPDRK65gAQUNAB6LA1AcMOQXeisI08966OUQqGHYIGBdvM7/FqE9vUYdghGE4EtpHn6pUpwolClzYcwwepd99xUkIHNAHdicLRRI9lD5QmnfYEiNB7aWPGI1FdxiPhgOLBK6UyzqcbohhVPRS6y13W5i8k6u+bgEHzvsya6XvRaBsAwNKzZx2scLANkdUBFB0fg8iQUUfGtaOjUPxFPQCguaIM7ifwe+Z2e0gbCH1ShLwJLd3G3EAM5dp2RGJBWCK5RJxoiGLEnM/SejWHa6SCcADwK6dHRpON8fc3oIbT97xjS5SsiSA/0NCe9E1TApBpxxRLDLh1O6lBtGk4MHUbMcdAzHZnYCOlhohtQdNkUkkNIRR8RhRKCURsE8qF/INS2HMsAZ/Re1JD07CnrhIR24KU7nxhMx7tGI8OBxqP+MBcUxKGHYJbATHs0J4rQJJIamhae7k9CYD2KUsHTzjR9qSGbiWV1JC6BUe3oDtRCMedq9c06cCwQ1CaSCqpwXh0YDzilfYmHpTdjKoQAjO/hFGdHQmpbCVbTDQsGAXZnCEZKfKcbDZQ98gw12Muiw1sufUITt/LIXaBwNqrAoy5h4w2iZHPtqBqwSaI5vTtvsekVAod6IA7zs2B94EOuOPcTIQcaAIkzu1ECOPRjvHo0Nd4uDrwPtABd5zLA+8DTYDEuZkIOdAESBzj0YHxiFeeiSnahwHo1UHOGfCYMSCGwQuWwihN32CHUssotTHiD6vdj7kA7IDJ0WsuEUCsWDDmHrJLDKz4eQU2PDExrVejMcQp0tcBd5wbA+++Drjj3EiE9DUBEudWIoTxaMd4dDjYeLgy8O7rgDvOpYF3XxMgcW4kQvqaAIljPDowHnswMUV7sb/OQ/19E2Bv7ma6PLlCRoHWfwyEzIw1zikFZBRofmeA6zEXjTZGzPkMopEJzlxhtEiMv7+BMfdSVKJsSRuK3qwDoumbT8qkVAoc7IA77mAG3gc74I47mETIwSZA4g42EcJ4tGM8OrgVj4MaeB/sgDvuIAfeB5sAiTuYRMjBJkDiGI8OjMceTEzRHsYhIZTd8gmMoZy+5yUZNND0zEjINl6Slitkm4H6Jwe7HnMZMNrXkwrwvZQr7CKBVTeXMuYeMsISQ19pw8BntkK0cfpev+XWgDuuLwNvtwbccX1JhLiVAInrayKE8WjHeHRwOx59Gni7NeCO6+PA260ESFxfEiFuJUDiGI8OjMceTEwRANiAsy0f4A/wnjICNgb/ZimMAWzoXGEMsDHiydXux1wCRmOMi4PnEgmYzZIx95BdbGDFPXum7w1I3/Q9ph3dpgEaFDRIxGwDtmPA0mMwDfc+mC1DQoNCzDGhQfV4bGfPgFtoEj4j4trGR7oAfEYYEduHqG32eGylgKjtg1IafEYYuks7tWka4DciiNg+RPbUoadjMx7tGI8OBxoPDRLJbBkfH3gbdgiGHep5MO/2gDtRWW2/OvR0bLcTIHHxY+l7kiA9HdvtBEgc49GB8djjAONB6ZPv02AiAt3l7JGoNdH41OEoGvEpzCzZfQ9a+9+tiex5r8pYFE1vDEHed3dBZMrmWRnXjgq6LwYAMBFGqnffc7s9ZBTY/XoVBkyv7TbmOmwI2NA1B0JLrh8qmm0MueeL/rH7HiXFaJM48jeNqHlwMGPulahE5Xtt8BduQ+N3qgArPdcsMSnlMl0Alogi5phwHIE8ow1+I+L6eXwmENZ8iNh+GJrs8hy21BGxC2BqURSYba4lQBJ0wNIiCMYKYNuiy3MoBbTZBdCURJHZBkO4/Iu0BvjMENpiBbBtA1Y35wjbPsYDjMfe+hYPBZVkpy2pgbdXA+64JAfeXiVA4pJJhHiVAIljPDowHnt0FQ93z0AuGDPCQsD4GprL78HyUTZGLPwKwsierrC02hNzQmRPncO2js2vfhNHTF0Ny58ZC0tlXDtqgDWiPTGab7SkPCfldntEwxbWv3QMDj11ZbcxF5DwIwi/acNWyZ1XllpY/8REV+pI2cEuMfDxzytQwoSUZ4yIwqB3QwBCaD6lHNJKT1tnyKdx/+FIoM3OhyMtmHoMmi4QUXmenEvTAV1JhOwC2MrqdEVI+xUgPghNwTBiiCIvmQs8+lAJwDBsRGwfmmOdr9BpnyLmg1QafEYEjmbB8ajHbxgSEdtES6x4vyt0YraBmGMyHoxH4rG+xkODhNCSv4a4x4G31wPuRKV7ToR4nQCJ6ykR4nUCJI7x6MB47LFvPDR2izLNmpooRpYfAl139z0Qag6h6a/DUH5OHYwsWes8Fg0BAEzhzfemF2L5IQx//H00+qsyZgpOxrWjo1BY0wgAaC0PAHpqs1Kut0cxcPgTH6MR3cdch41SrQ7RWAimcJDU7322RP6nzQiOKwYMrkCTE2yJki+iQJlkzD1iF+lYeVcFSioHp7Ue7H25TEFHzDFhGTYMQ0J5vGxX+zlsRB0TChpMw+m0Ro5lxABNePrrrxDt6wlFbAth2wef0X4Jcuc1i9onNXpGAywjhohtImL7E+sk7b1mEePBeLgTjwMs3dXAG0jNgDuum0RIqhIgcV0lQlKVAIljPDowHnvsFQ89ybW2KHWCEYUYfJAud1mD2y00vz4UBZOi8GfJ9L2oil95nCVZNADhiELLS4eg7Hv1EBlS7cxrRwUnYgIAYvAj1ZdKud0eMgzsfr4KA86t7TbmCjFIGHCUDl0ll60UzTaqHqvBRk7fyxlGm8TIp5uxcYLNmHslKjH49VZY+RIN/3cw4OP0vX5BwYCh2zCN1P0cFF8gOuYYkEpAKuHaos3Jii+2HbEtRGLtHxoKmiuLaCcrvth2eyKkfZ0gRwrXFtFOFuPRjvHosO/AG0DqBtxx+yRCpNAhpJOyBEjc3okQTTkQ0klZAiSO8ejAeOyxJx66bEvN+Sjt/MNDGLxgKay8gnRXpV+TYYG2f1ZiwNm7IfwZcqlUphEamo5o/yzWRIrn7nlARgVa3ilFyXfrXI25LLWwoZ9M37PzBLb+f/mQhRyK98QuMbCC0/c8ZUSB8uVhaFoEjWdUQaYpKcXr4FwnYYrU7zBiGg500T7oVwopHXDHCaFgGTFIpUEqDZYRS1kCJC6eCFEKcKSALmRKEyBxjEc7xqND+8DbD03JPQNuf+oXVt4z8AYAIR1Ioac0ARIndSuRhAGQ0gRIHOPRgfHYQ9PgZMxKzOQ1uxWo/6+RsFvTXZP+zSi2Uf2rD2EUMyHVLQ2IBXTEAnrK15PyglEsMfy3a9yPeVSi6J1dQLQfvJcsgR3/pzBti0pnjahE2bJQ/4h5hrILBT65swI1vzkasthMWz34l+A6DVKlvlml7Hxe20n9jiJKAbG9zhtz9KR2+3bb3q9dKgEpU/8Nz3h0YDz2UKrT1CDdiSIdAREytte/HWgy9UlCTTqJBMi+dUoZxiOB8eggFLetzxV2gx/hZQNh7/Kluyr9mgwLNCwcCRnmkCNXyLDAzt8Odj3mos3GwKe3QLTxczpXGGGJoS+1MOYeEmGJYc82YuD/qwHC6WtnfkO4TiFqWykdeO+9Rk6eFYGp24g5BmJ26gbe7Ytot69Z5Dej8JtRKCX23JeyanRasyjPikDTJCKMB+OR5njsu2izbeRBU7J9qlIKA7L3mkUxswBKE+31SmEiZO81i2JmARzdgu5EIVK5lg/jkcB4dBBOFLpkxzdX+IeGMXjBUviHu78DLHWQUYHw6gGQXK4tZ8goEPyk2PWYywEWNvx+IuQAXtGaK+xiAyvuqWDMPSRsoOTLGApWN0NE07cHMZNSLhMqltKB994D7viUJNNwUjrw3jsBEl+zKL6mUSoTIXsnQEzDSUwdYzwYj3TGo6tdxOJr6KRy4L3fItp7po6lMhHS1SLaUrdSmwhhPBIYjw6JeGTKFvHkObsV2PnwaE7f85hRbKP6l8s5fS+HGMUSwx5f68n0vcArtZzKlUuiEpVvtzLmHrILBVbdPhAbH52Q1ul77H25TNcBv9GKiMxDzBYoMIPQhTeDC0fqaLPzYWpR5JttnZYA8ZlARPMhbPtgag58hje/BCoFBO0CaEqi0Gzt/Fp1wNLCaIvlw7G1/eropojtg+MYyDeCnV+r1t4WwVgB48F4JPQ9HurAdgzsYVv7Lncd8ygg3e7q1s0ucF7oaVe3rnaB8wTj0XEqxiOhUzxUP1jQpZ8ZN9JCmb7Z9QWgm1p92PF5CUoaP0ZhcXZkphyrfWqtLtI3cDhQEVuh5vfHY9BVK2HkZ8aViJnYjumsk9vntoMG1i+YiEOvXNFtzAUk8tEKnxlLetkTEbQx4C+1aD6pFNLilTO5wIgoDHoriE3TbcbcIyIsMfzZJhhWCDuuGA7kpyc9xKSUy5QCpCbgMyMIxfLQGitEnhmCLtzN8DpSIBTLg9AkfGYEUts/lIbhwEIMYdsPCQHLcHedEKWAUCwPUgnkmSFAaHD2fUsJwJ9oiyLkmSHXxxVR20TUtmAZURiGs38dNDAecYxHQl/ioeEArtjoYcCdKJKCgXe3CZC4FCRCekqAxHmeCGE8Ok7BeCTsFw87DetpUY8aWiTyVAGEcvfvQBwSxlG/fx265UdIFbl6bK/YMgwAMJQ/zTVJXjhmo3XjAIRiRTAyZM22TGzHdNbJ7XPbMQMtvcRchw0TUdgS0LTk+lYyYKHm/x3tSh0pO9hFOlbeVYGSABNSnrGB/O02hAhCOEC6rkljUsplUgKOMqAgYBoOIrZAMFaQmEblzjk6piSZhgMHFrobKwsd0JVE2PbDUYZrO5/tO0VMaQbs7l6eBliGjYhtoS1W4OrOZ3tPERO6Blt1/6HFeOzBeCQcaDw0SOhaEjFLYsCdKOrhwLvXBEich4mQZBIgcZ4lQhiPjkMzHglJx4PSautOG4WjyqB38ePCwQg2RtDwq1GoumkjjGJXD+2ZqN0GALDMgjTXJHnRvDZU3vcJgnmBbr+LUy0T2zGddXL93EXAkIe/RBCBbmNuIAafFkXE0WCJWHILykQkSl/YhoZzqoE0bVtPKRaVGLy4Da0XScbcI7JQYPXcgSipHJzWejC6HvJiDZ2u1sjpjdtr6HS1ZlFvvFjTaN81i3rDeHRgPDq4vsbUAQy4E0/xYA2dAx5we7Cm0YEkQOJcX9OI8eg4JOORwIQUyWYDsS2FsJv5+6yXZFBg5y/HQAY55MgVMiiw7ecjXI+5iDgoea8eIpL6XWopPYwoUP5hiDH3kAhLHL6gHtU/XwcEuftev+XmwLsvA+44twbefUmAxLmZCDnQBEgc49GB8ejgWmKqDwPuxFNdHHj3ecDtYiKkLwmQONcSIYxHx6EYjwQmpAgArOo9u+8dkhlTyvotCThNJiTXKc4ZUgJOk+F6zGWxiZpfp3cxZkotu1Dgk59VMOZekoDZqqA323B5NZUDwqRUCrgx8D6YAXfcwQ68DyYBEudGIqSvCZA4xqMD49HhoBNTBzHgThzChYH3QQ+4XUiEHEwCJO6gEyGMR8chGI8EJqQozm40UHvbBNiNKdiFNYeJQomq+Z/AKGRWKlcYhRJD7v/S/ZiHbQz8/UYgzERyrhBhiWHPNTHmHpL5Amv+vRxb7jsKsjB9Vw4zKZUiBzPwdmPAHdfXgbcbCZC4g0mEHGwCJI7x6MB4dOhzYsqFAXfiUAcx8HZtwH0QiRA3EiBxfU6EMB4dT2U8EpiQor3JoAFnlx92K3dc9JIMCuy4ZyycNg45uiUVCjdEUbghBsgMWXjrIDhtAlvvOMz1mIuoQsGqZoho9reRCEqM+c96iFYmW3oibKBkXbRfxDxTiaDEqEfqMXjeGghO3+uwdu1anHnmmSgpKUFBQQGOP/54bN68OfF4OBzG1VdfjbKyMhQWFuK8887Djh07ejymUgp33HEHBg0ahLy8PEydOhVffvllpzINDQ246KKLUFxcjEAggFmzZqG11d0tgvsy8HZzwB13oANvNxMgcX1JhLiVAIljPDowHh0OODHl4oA7ccg+DLxdH3D3IRHiZgIk7oATIYxHx1MYjwQmpGhfnL5HGUMB/l0O/LvsjFkMPhPJYhMbHxnfL6ZyiZiEf5cDRHkFYU/sQoFVtw3sFzGnnmXU6o7r16/HSSedhFmzZuHOO+9EcXExPvvsM/j9HVuU/vSnP8Wrr76K5557DiUlJbjmmmtw7rnn4v333+/2uA888AAeeeQR/OEPf8CIESNw++23Y9q0aVizZk3i2BdddBG2b9+OxYsXIxaL4bLLLsPs2bPxzDPPHNBrEALQNRt6d31/DTDMKEKxPERtA3lmCHo3EzgdKRC186BrNvLMkKs7YRsmoGsmorYFXbNhGV1vg60UELLzAAXkm23d1rVPdEDXYgjF8hCz9R5fY9Q24TgCfiPcbV37hPHowHgkdBcPbd/eogcD7sShD2DXMc8G3AewC5wXCZC4pHeBYzw6ijIeCUxIZbfBAw2UiHoIzd1pdq1NDjbecxIO+9mH8JdnR2LKNsIAAEMLpbkmycsvDqN03j9gWP7eC6dIxrWjUMgf2JL4t6sdmiS43h6FwIC76nososOGhTYIPQpNSzITF7RR+ftN2PGjYUB+Rg1hySMiLDH8z82ov7qSMfeIzBdYd11Z2nffy6jo3nrrrTj99NPxwAMPJO479NBDE/9uamrCE088gWeeeQbf/va3AQALFy7EkUceiQ8++AAnnnjifsdUSuHhhx/GbbfdhrPOOgsA8NRTT6GyshIvvvgiLrjgAqxduxavv/46PvzwQxx33HEAgEcffRSnn346fvGLX6C6ujrp16BpgA4JHT0kCzSg0GxBMFaAcMyHAjMIXXT+1duROsIxHwzNRr7Z5sn3U55hQ0AibPsgIOEzIp0eVwoIxgqgFFBotu5XRzfoAtBNB22xfERivi5fa8T2IWqb8Bvh/eroCsYjgfHo0HU8FFT8AlMPB9xxyQy8PR9wJ5EI8TIBEtdrIoTx6CjCeCQwIZX9SosEfE4jNBd2aN2bP+yH02LBDLXBsttcPbZXDNmePBN2MM01OQDNGj6/fyrG3Po2jMLMSP5lWjtqCrCK2uvkODZUii+ecbs97FYDa+75Nsbc+la3MReQgBaCUDE4jo6dzc3YHd2OMJq7Pa5olRhS04qW7dshCw9+sk9Lfc8zbbwU2V0PQEPLru2wY5kxHE9ne3QntHMn8r6GazFPhUxsx56Evt6BiYsAoe/C5z8uhcx3t51j4eSS3ZnxVwBASolXX30VN910E6ZNm4YVK1ZgxIgRmDt3Ls4++2wAwPLlyxGLxTB16tTE80aPHo2hQ4diyZIlXSalampqUFtb2+k5JSUlmDRpEpYsWYILLrgAS5YsQSAQSCSkAGDq1KkQQmDp0qU455xzuqxzJBJBJNIxKG9ubobjAFFlQajeA6obCrYt0BIr7jQNa+8pSbrhIIp87y7n1QFdKQTtfMSUlZiGte8UMVvzwfaqDhpgGu1TtppjRqdpWHtPEYOuI6LyPaoE45HAeOxVic7xsIwYdM1JyYA7rqeBd8oG3D0kQlKRAInrNhHCeDAe6YwHeerTDVGMHDAIQnf3fRQrCaHioXex2x/A7mjA1WN7Jd65N/15aa5J8iLRCJxCB7X2IIgMmaqUae2oOQplG9qvVqof4IfqdrqFN9xuD2kLqGLVY8x12Big1cGOhuE3kktWykKB1beUu1JHyg52PvDBFUBRliSkspHUgGgBoBtaWhd2ypikVF1dHVpbW3Hffffh7rvvxv3334/XX38d5557Lt5++22ccsopqK2thWVZCAQCnZ5bWVmJ2traLo8bv7+ysrLb59TW1qKioqLT44ZhoLS0tNvjAsC9996LO++8s9N999x+dVKvF+hYQydim4jYFnxGe8fe7TVyehNPfMSc9reDoTuur1nUm/iaRhHbQsQ24TNisB131yzqDePRgfHosHc8NCgIw4Gwo1AKng+447oaeAsZS+2Au4tECICUJUDi9kuECDNlCZA4xqMD40GpYOblQ9fd7bLaDQZ2zD8aQ+75EkaWTN+Ls/IK0l2FA1I5Z11G1jlj6uQoAO1JKTOvAN2vAeIt19ojDxh826b2f3TDQAz5mg8RzYEpgIHlxRjgDEIQRd0fN2ij+tEN2HbtSFencqVj2lJbkw2gAUXlgyBLM+s7Kt3TuPYmwhKHPtWIuhuzb/peJrVjbzZc017fHv76+iwaSu5K5LTlwxYtWoTCwsLEbd26dQCAs846Cz/96U9x9NFH45ZbbsF3v/tdLFiwIF3V7NHcuXPR1NSUuG3ZsuWAj7H34s7hmIVwLLUD7ri9F3cORX0pTYDE7b3YdijqS2kCJI7x6MB4dOiIh4m2SAGgVMoG3HF7L+5sxtrSM+DeZ7HtVCdA4vZebNuMtaU0ARLHeHRgPLLb888/j9NOOw1lZWXQNA0rV65M6nnPPfccRo8eDb/fj3HjxuG1117r9Hgym8yklQ0gJuBkVz4q6zitBrbfMhF2M690yBV2s8Dm60e7HnMhAb3JhpvLqVKGk4DZqhhzD4lWibH37sSwG1ZBtOTg7ntnnnkmVq5cmbgdffTRMAwDY8aM6VTuyCOPTOy+V1VVhWg0isbGxk5lduzYgaqqqi7PE79/3x369n5OVVUV6uo6L8hn2zYaGhq6PS4A+Hw+FBcXd7r1haYBpt4x0Dd1J9VrHAJovyInTmgypQmQxHmFgtA6Pnn2rlOqMB4dGI8Oe792JURKB9wd59Uh9zqvFGnYjUTT4Ow10Hd0K+WLsgKdX7sUOuOxB+OR5nhkoba2Npx00km4//77k37Ov/71L1x44YWYNWsWVqxYgbPPPhtnn302Vq9enSgT32RmwYIFWLp0KQoKCjBt2jSEw2EvXsYBMypsDH58GXxVzEp5SRMS5tA2iOy6yIEOgjAAa3jI9ZjLQgNbfj4GspBvplwh8wXW3FDGmHvJAIKDDISH5EOmvuuWkLakVFFREQ477LDEraSkBMcff3ziiqm4L774AsOGDQMAHHvssTBNE2+++Wbi8XXr1mHz5s2YPHlyl+cZMWIEqqqqOj2nubkZS5cuTTxn8uTJaGxsxPLlyxNl3nrrLUgpMWnSJNdec3ek1BC1TQhNQWgKUduEdHlBz97E1yzSNEAXEo4UiNmpf2fGbB2OFNCFhKbF11FKbR0Yjw6MR7t4PKAp6LoNTToQe6YrpZJwohDSSQy8DTuEVAekfc2iMJQm9lyhE4YmU5ys3LNmEdCeABGMB+OBzIhHNrr44otxxx13dFp7sze/+tWvMH36dMyZMwdHHnkk7rrrLhxzzDF47LHHAOy/ycz48ePx1FNPYdu2bXjxxRc9eiUHxt5lYOu1xyO2k4MdL4l8ifIffwGRz0sdcoXIl6i6fpPrMRdBG4Pv/BwiyERyrhBBiVGP1TPmHpJ+gQ2XDsCOnx6W1imSGXUt7Zw5c/CnP/0Jv/vd7/DVV1/hsccew1/+8hf8+Mc/BtC+QPmsWbNwww034O2338by5ctx2WWXYfLkyZ0WOR89ejReeOEFAICmabj++utx99134+WXX8ann36KmTNnorq6OrGA+pFHHonp06fj8ssvx7Jly/D+++/jmmuuwQUXXHBAO+/1xd6LNvvMKHxmFJrWvsh0qgbe+y6i7TNjialjqUyE7L2Its+MJaaOpTIRwnh0YDzadY5HBHlmBEo3oDvRlA6891602THyElOVUjnw3ncR7b2njqUsEbLPItqOkZeYOsZ4MB7pjEcuWbJkyX5JrGnTpmHJkiUAet9khnKH3Wxg243HcvpeDrGbBTZdfSRjTpQFjFaJ8XftxPBrP4FojqWvHmk7cxfOOeccLFiwAPfeey+uu+46jBo1Cv/7v/+Lk046KVHmoYceghAC5513HiKRCKZNm4Zf//rXnY6zbt06NDU1Jf5/0003oa2tDbNnz0ZjYyNOOukkvP766/D7/YkyixYtwjXXXIMpU6Ykjv/II48cUP2VUoAGQCkop/cBgVQaorYPmubAp0eAPT8o+ISDiO1DJGrAMiIQmrcd6ojtg1KAZYSgKQXlAIbmQAmJmG1CKQlTeJuhjkkDtqPD0KMwNBvKaW9KSziI2j5EpAGfEen1OAeD8ejAeHTYOx4CDhynvSoKAnosDDi259OEhIxBlzYcYUAqDbBjUABsrT05pss2OMLbaVuacqA7UUhNwNEMxBdisWFAV1Ho0TY4ugWleZg4VQq6jAJKwtYtKCkBKSGhAYwHAMbjoOMhY3teGhNZPamtre11A5n4fd2V6cq+uxo3NTUh36dBd9ogXO6y+ktDGPar92D484DUz0zvE0O2X5EosqS+AGAZEeSN3QVDb4NwMuNqqUxrR82R0Hzt01p1pxUqxdcMuN0ehi6QP76hx5gLxKC0CDQZg4KDUDiKiB1EtKfXrgE1Nw0BEAFCB98Hje86mOxCzG6KRkIII4xoOAgZSl8iYG/pbI/uREQEq3+Uj2LNnZinQia2Y08iMoTdIwVMXx7CThgIufuDYjQUBJBEv0qRa9avX6/Qvjk9b7zxxhtvvPGWpbf169enu0vhiaeffloVFBQkbu+9917isZqaGgVArVixotfjmKapnnnmmU73Pf7446qiokIppdT777+vAKht27Z1KnP++eer733ve90ed968eWmPPW+88cYbb7zx5u5ty5YtPfYrMupKqWxXWloKANi8eTNKSkrSXJvs1tzcjCFDhmDLli19XkCe2rEt3cO2dA/b0j1sS/c0NTVh6NChie/z/ubMM8/stFbm4MF927K6qqqq1w1k4vcNGjSoU5mjjz662+POnTsXN9xwQ+L/Uko0NDQkdgbMRvz7zCyMR2ZhPDIHY5FZ+ks8lFJoaWnpdUkkJqVcJET7JaclJSVZ/ebJJAezqyF1xrZ0D9vSPWxL97At3RP/Pu9vioqKUFRUdNDHmTx5Mt58801cf/31ifsWL16c2EBm701m4kmo+CYzV111VbfH9fl88Pl8ne4LBAIHXd9MwL/PzMJ4ZBbGI3MwFpmlP8QjmYt1mJQiIiIiylENDQ3YvHkztm3bBgCJXZCrqqoSVzzNnDkTgwcPxr333gsA+MlPfoJTTjkFv/zlLzFjxgw8++yz+Oijj/Db3/4WQOdNZg4//HCMGDECt99+e6dNZoiIiIiADNt9j4iIiIhS5+WXX8bEiRMxY8YMAMAFF1yAiRMnYsGCBYkymzdvxvbt2xP//8Y3voFnnnkGv/3tbzFhwgT8z//8D1588UWMHTs2Ueamm27Ctddei9mzZ+P4449Ha2vrfpvMEBEREfFKKRf5fD7Mmzdvv0vP6cCxLd3DtnQP29I9bEv3sC3dk4tteemll+LSSy/tscw777yz333nn38+zj///G6fo2ka5s+fj/nz5x9kDbNbLr6nMhnjkVkYj8zBWGSWXIuHphT3PSYiIiIiIiIiotTi9D0iIiIiIiIiIko5JqWIiIiIiIiIiCjlmJQiIiIiIiIiIqKUY1JqL88//zxOO+00lJWVQdM0rFy5cr8yp556KjRN63S78sorezyuUgp33HEHBg0ahLy8PEydOhVffvllpzINDQ246KKLUFxcjEAggFmzZqG1tdXNl5dSybRlOBzG1VdfjbKyMhQWFuK8887Djh07ejxuLrZlVy699NL93ofTp0/v9XmPP/44hg8fDr/fj0mTJmHZsmWdHu9LTLJZb+2xr+eeew6jR4+G3+/HuHHj8Nprr3V6PJn3Z3/0s5/9bL/34+jRo3t8Dtuy3XvvvYczzjgD1dXV0DQNL774YqfH+9oOufi33ltb8nOTvHDllVdC0zQ8/PDDvZble8l9sVgMN998M8aNG4eCggJUV1dj5syZ2LZtW6/PZTzcx35VZrj33ntx/PHHo6ioCBUVFTj77LOxbt26Xp/HeKTGfffdB03TcP311/dYLqfioSjhqaeeUnfeeaf63e9+pwCoFStW7FfmlFNOUZdffrnavn174tbU1NTjce+77z5VUlKiXnzxRfXJJ5+oM888U40YMUKFQqFEmenTp6sJEyaoDz74QP3jH/9Qhx12mLrwwgvdfokpk0xbXnnllWrIkCHqzTffVB999JE68cQT1Te+8Y0ej5uLbdmVSy65RE2fPr3T+7ChoaHH5zz77LPKsiz1X//1X+qzzz5Tl19+uQoEAmrHjh2JMn2JSbZKpj329v777ytd19UDDzyg1qxZo2677TZlmqb69NNPE2WSeX/2R/PmzVNHHXVUp/fjzp07uy3Ptuzw2muvqVtvvVU9//zzCoB64YUXOj3el3bI1b/13tqSn5vktueff15NmDBBVVdXq4ceeqjHsnwveaOxsVFNnTpV/elPf1Kff/65WrJkiTrhhBPUscce2+PzGA/3sV+VOaZNm6YWLlyoVq9erVauXKlOP/10NXToUNXa2trtcxiP1Fi2bJkaPny4Gj9+vPrJT37SbblciweTUl2oqanpMSnV0xtoX1JKVVVVpR588MHEfY2Njcrn86k//vGPSiml1qxZowCoDz/8MFHmr3/9q9I0TW3durXPryMTdNeWjY2NyjRN9dxzzyXuW7t2rQKglixZ0uWxcr0t93bJJZeos84664Cec8IJJ6irr7468X/HcVR1dbW69957lVJ9i0k266099vW9731PzZgxo9N9kyZNUldccYVSKrn3Z381b948NWHChKTLsy27tm8ipa/twL/1/dtSKX5ukru+/vprNXjwYLV69Wo1bNiwXpNSfC+lzrJlyxQAtWnTpm7LMB7uY78qc9XV1SkA6t133+22DOPhvZaWFnX44YerxYsX95pTyLV4cPpeHyxatAjl5eUYO3Ys5s6di2Aw2G3Zmpoa1NbWYurUqYn7SkpKMGnSJCxZsgQAsGTJEgQCARx33HGJMlOnToUQAkuXLvXuhaTR8uXLEYvFOrXL6NGjMXTo0ES77Itt2dk777yDiooKjBo1CldddRXq6+u7LRuNRrF8+fJObSeEwNSpUxNt15eYZKtk2mNfS5Ys6VQeAKZNm5Yon8z7sz/78ssvUV1djZEjR+Kiiy7C5s2buy3LtkxOX9qBf+s94+cmuUFKiYsvvhhz5szBUUcd1Wt5vpdSq6mpCZqmIRAIdPk44+E+9qsyW1NTEwCgtLS02zKMh/euvvpqzJgxY7927kquxcNIdwWyzfe//30MGzYM1dXVWLVqFW6++WasW7cOzz//fJfla2trAQCVlZWd7q+srEw8Vltbi4qKik6PG4aB0tLSRJn+pra2FpZl7ddh2LtdunpOvEx3z8mVtpw+fTrOPfdcjBgxAuvXr8d//Md/4Dvf+Q6WLFkCXdf3K79r1y44jtNl233++ecA+haTbJVMe+yrtra21/de/L7uyvRXkyZNwpNPPolRo0Zh+/btuPPOO/Gtb30Lq1evRlFR0X7l2ZbJ6Us78G+9e/zcJLfcf//9MAwD1113XVLl+V5KnXA4jJtvvhkXXnghiouLuyzDeLiP/arMJaXE9ddfj29+85sYO3Zst+UYD289++yz+Pjjj/Hhhx8mVT7X4pGzSalFixbhiiuuSPz/r3/9K771rW/1+rzZs2cn/j1u3DgMGjQIU6ZMwfr163HooYd6UtdM19e2pOR01b4XXHBB4v/jxo3D+PHjceihh+Kdd97BlClT0lFNymHf+c53Ev8eP348Jk2ahGHDhuHPf/4zZs2alcaaEXXg5yb1xb7fwa+++ip+9atf4eOPP4amaWmsWW7qqc8Zi8Xwve99D0op/OY3v0lXFYkyytVXX43Vq1fjn//8Z7qrkrO2bNmCn/zkJ1i8eDH8fn+6q5ORcnb63plnnomVK1cmbntP9zoQkyZNAgB89dVXXT5eVVUFAPvt1rFjx47EY1VVVairq+v0uG3baGhoSJTJZH1py6qqKkSjUTQ2Nna6f+926eo58TLdPSfb27IrybTvyJEjUV5e3u37sLy8HLqu99p2BxqTbJVMe+yrqqqq1/aL35fsMfurQCCAI444osfPRbZl7/rSDvxbTx4/NykZ+34H/+tf/0JdXR2GDh0KwzBgGAY2bdqEG2+8EcOHD+/yGHwvuae7PlE8IbVp0yYsXry426ukAMbDC+xXZaZrrrkGr7zyCt5++20ccsghPZZlPLyzfPly1NXV4Zhjjkl8b7z77rt45JFHYBgGHMfZ7zm5Fo+cTUoVFRXhsMMOS9zy8vL6dJyVK1cCAAYNGtTl4yNGjEBVVRXefPPNxH3Nzc1YunQpJk+eDACYPHkyGhsbsXz58kSZt956C1LKRNIrk/WlLY899liYptmpXdatW4fNmzcn2mVfudCWXUmmfb/++mvU19d3+z60LAvHHntsp7aTUuLNN99MtF1fYpKtkmmPfU2ePLlTeQBYvHhxonwy789c0draivXr13f7fmRbJqcv7cC/9eTxc5OSse938OzZs7Fq1apOiZHq6mrMmTMHf/vb37o8Bt9L7umqTxRPSH355Zd44403UFZW1uMxGA/3sV+VWZRSuOaaa/DCCy/grbfewogRI3p9DuPhnSlTpuDTTz/dL6F+0UUXYeXKlV0uIZBz8Uj3SuuZpL6+Xq1YsUK9+uqrCoB69tln1YoVK9T27duVUkp99dVXav78+eqjjz5SNTU16qWXXlIjR45UJ598cqfjjBo1Sj3//POJ/993330qEAiol156Sa1atUqdddZZ+23XOH36dDVx4kS1dOlS9c9//lMdfvjh6sILL0zNC/dAb22pVPtWu0OHDlVvvfWW+uijj9TkyZPV5MmTOx2Hbbm/lpYW9e///u9qyZIlqqamRr3xxhvqmGOOUYcffrgKh8OJct/+9rfVo48+mvj/s88+q3w+n3ryySfVmjVr1OzZs1UgEFC1tbWJMsnEpL/orT0uvvhidcsttyTKv//++8owDPWLX/xCrV27Vs2bN6/LrVl7e3/2RzfeeKN65513VE1NjXr//ffV1KlTVXl5uaqrq1NKsS170tLSolasWKFWrFihAKj//M//VCtWrEjsGpVMO/BvvV1PbcnPTfJSV7vv8b2UGtFoVJ155pnqkEMOUStXrlTbt29P3CKRSKIc4+E99qsyx1VXXaVKSkrUO++80+lvIhgMJsowHum17+57uR4PJqX2snDhQgVgv9u8efOUUkpt3rxZnXzyyaq0tFT5fD512GGHqTlz5qimpqZOxwGgFi5cmPi/lFLdfvvtqrKyUvl8PjVlyhS1bt26Ts+pr69XF154oSosLFTFxcXqsssuUy0tLV6/ZM/01pZKKRUKhdSPf/xjNWDAAJWfn6/OOeecTkkrpdiWXQkGg+q0005TAwcOVKZpqmHDhqnLL7+8U0dKqfZO8t7trZRSjz76qBo6dKiyLEudcMIJ6oMPPuj0eDIx6U96ao9TTjlFXXLJJZ3K//nPf1ZHHHGEsixLHXXUUerVV1/t9Hgy78/+6N/+7d/UoEGDlGVZavDgwerf/u3f1FdffZV4nG3ZvbfffrvLz8p4eyXTDvxbb9dTW/Jzk7zUVVKK76XUqKmp6fLvHoB6++23E+UYj9RgvyozdPc3sfeYivFIr32TUrkeD00ppby8EouIiIiIiIiIiGhfObumFBERERERERERpQ+TUkRERERERERElHJMShERERERERERUcoxKUVERERERERERCnHpBQREREREREREaUck1JERERERERERJRyTEoREREREREREVHKMSlFREREREREREQpx6QUEdFennjiCZx22mmen+f111/H0UcfDSml5+ciIiIiSgf2q4ioN0xKERHtEQ6Hcfvtt2PevHmen2v69OkwTROLFi3y/FxEREREqcZ+FRElg0kpIqI9/ud//gfFxcX45je/mZLzXXrppXjkkUdSci4iIiKiVGK/ioiSwaQUEfU7Tz31FMrKyhCJRDrdf/bZZ+Piiy/u9nnPPvsszjjjjE73nXrqqbj++uv3O86ll16a+P/w4cNx9913Y+bMmSgsLMSwYcPw8ssvY+fOnTjrrLNQWFiI8ePH46OPPup0nDPOOAMfffQR1q9f37cXSkREROQx9quIyEtMShFRv3P++efDcRy8/PLLifvq6urw6quv4oc//GG3z/vnP/+J4447rk/nfOihh/DNb34TK1aswIwZM3DxxRdj5syZ+MEPfoCPP/4Yhx56KGbOnAmlVOI5Q4cORWVlJf7xj3/06ZxEREREXmO/ioi8xKQUEfU7eXl5+P73v4+FCxcm7nv66acxdOhQnHrqqV0+p7GxEU1NTaiuru7TOU8//XRcccUVOPzww3HHHXegubkZxx9/PM4//3wcccQRuPnmm7F27Vrs2LGj0/Oqq6uxadOmPp2TiIiIyGvsVxGRl5iUIqJ+6fLLL8ff//53bN26FQDw5JNP4tJLL4WmaV2WD4VCAAC/39+n840fPz7x78rKSgDAuHHj9ruvrq6u0/Py8vIQDAb7dE4iIiKiVGC/ioi8YqS7AkREXpg4cSImTJiAp556Cqeddho+++wzvPrqq92WLysrg6Zp2L17d6/Hdhxnv/tM00z8O95B6+q+fbcqbmhowMCBA3s9JxEREVG6sF9FRF7hlVJE1G/96Ec/wpNPPomFCxdi6tSpGDJkSLdlLcvCmDFjsGbNmv0e2/fS8A0bNrhSv3A4jPXr12PixImuHI+IiIjIK+xXEZEXmJQion7r+9//Pr7++mv87ne/63Ehzrhp06bhn//85373v/TSS3j++eexfv163HPPPVizZg02bdqUuIS9rz744AP4fD5Mnjz5oI5DRERE5DX2q4jIC0xKEVG/VVJSgvPOOw+FhYU4++yzey0/a9YsvPbaa2hqaup0/4wZM/DAAw9gzJgxeO+99/DrX/8ay5Ytw3//938fVP3++Mc/4qKLLkJ+fv5BHYeIiIjIa+xXEZEXNLX3PppERP3MlClTcNRRR+GRRx5Jqvz555+PY445BnPnzgUAnHrqqTj66KPx8MMPu1qvXbt2YdSoUfjoo48wYsQIV49NRERE5AX2q4jIbbxSioj6pd27d+OFF17AO++8g6uvvjrp5z344IMoLCz0sGbtNm7ciF//+tfsOBEREVHGY7+KiLzC3feIqF+aOHEidu/ejfvvvx+jRo1K+nnDhw/Htdde62HN2h133HE47rjjPD8PERER0cFiv4qIvMLpe0RERERERERElHKcvkdERERERERERCnHpBQREREREREREaUck1JERERERERERJRyTEoREREREREREVHKMSlFREREREREREQpx6QUERERERERERGlHJNSRERERERERESUckxKERERERERERFRyjEpRUREREREREREKff/A33TtvVzOOTDAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1200x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 5), tight_layout=True)\n",
    "\n",
    "sim.plot(x=0, ax=ax1)\n",
    "ax1.set_title(\"full domain (x = 0)\")\n",
    "ax1.set_aspect(\"auto\")  # the domain is 30 um wide and 98 um tall\n",
    "\n",
    "sim.plot(x=0, ax=ax2)\n",
    "sim.plot_grid(x=0, ax=ax2)\n",
    "ax2.set_title(\"zoom on the metal / GaAs interface\")\n",
    "ax2.set_xlim(-5, 5)\n",
    "ax2.set_ylim(-1, 1)\n",
    "ax2.set_aspect(\"auto\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "da1ebe28",
   "metadata": {},
   "source": [
    "## Running the simulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "0ac1b855",
   "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\">16:01:22 EDT </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'thz_metasurface_resonator'</span> with task_id              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-19b0a112-98ea-4486-b7df-2bacf79cdff3'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:01:22 EDT\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'thz_metasurface_resonator'\u001b[0m with task_id              \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-19b0a112-98ea-4486-b7df-2bacf79cdff3'\u001b[0m and task_type \u001b[32m'FDTD'\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\">             </span>View task using web UI at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-19b0a112-98ea-4486-b7df-2bacf79cdff3\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-19b0a112-98e</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-19b0a112-98ea-4486-b7df-2bacf79cdff3\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">a-4486-b7df-2bacf79cdff3'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=889597;https://tidy3d.simulation.cloud/workbench?taskId=fdve-19b0a112-98ea-4486-b7df-2bacf79cdff3\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=130092;https://tidy3d.simulation.cloud/workbench?taskId=fdve-19b0a112-98ea-4486-b7df-2bacf79cdff3\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=889597;https://tidy3d.simulation.cloud/workbench?taskId=fdve-19b0a112-98ea-4486-b7df-2bacf79cdff3\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=457501;https://tidy3d.simulation.cloud/workbench?taskId=fdve-19b0a112-98ea-4486-b7df-2bacf79cdff3\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=889597;https://tidy3d.simulation.cloud/workbench?taskId=fdve-19b0a112-98ea-4486-b7df-2bacf79cdff3\u001b\\\u001b[32m-19b0a112-98e\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=889597;https://tidy3d.simulation.cloud/workbench?taskId=fdve-19b0a112-98ea-4486-b7df-2bacf79cdff3\u001b\\\u001b[32ma-4486-b7df-2bacf79cdff3'\u001b[0m\u001b]8;;\u001b\\.                                         \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\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/folder-86acd7be-dbf5-477e-9c86-3e20787acc03\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=118117;https://tidy3d.simulation.cloud/folders/folder-86acd7be-dbf5-477e-9c86-3e20787acc03\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "20a0d22f96a04112942f620324ef6cdd",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "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\"></pre>\n"
      ],
      "text/plain": []
     },
     "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\">16:01:24 EDT </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Minimum cost depends on task       \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>FlexCredit cost after a simulation run.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:01:24 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Minimum cost depends on task       \n",
       "\u001b[2;36m             \u001b[0mexecution details. 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 billed  \n",
       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \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\">16:01:25 EDT </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Minimum cost depends on task       \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>FlexCredit cost after a simulation run.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:01:25 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Minimum cost depends on task       \n",
       "\u001b[2;36m             \u001b[0mexecution details. 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 billed  \n",
       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "job = web.Job(simulation=sim, task_name=\"thz_metasurface_resonator\", verbose=True)\n",
    "estimated_cost = job.estimate_cost()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "7850c494",
   "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\">             </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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      "text/plain": [
       "Output()"
      ]
     },
     "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\"></pre>\n"
      ],
      "text/plain": []
     },
     "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\">16:01:26 EDT </span>loading simulation from data/simulation_data.hdf5                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:01:26 EDT\u001b[0m\u001b[2;36m \u001b[0mloading simulation from data/simulation_data.hdf5                  \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\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Structure: </span><span style=\"color: #008000; text-decoration-color: #008000\">'metasurface'</span><span style=\"color: #800000; text-decoration-color: #800000\"> </span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">(</span><span style=\"color: #800000; text-decoration-color: #800000\">simulation.structures</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">[</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">])</span><span style=\"color: #800000; text-decoration-color: #800000\"> was   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">detected as being less than half of a central wavelength from a PML</span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">on side z-max. To avoid inaccurate results or divergence, please   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">increase gap between any structures and PML or fully extend        </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">structure through the pml.                                         </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Structure: \u001b[0m\u001b[32m'metasurface'\u001b[0m\u001b[31m \u001b[0m\u001b[1;31m(\u001b[0m\u001b[31msimulation.structures\u001b[0m\u001b[1;31m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;31m]\u001b[0m\u001b[1;31m)\u001b[0m\u001b[31m was   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mdetected as being less than half of a central wavelength from a PML\u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mon side z-max. To avoid inaccurate results or divergence, please   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mincrease gap between any structures and PML or fully extend        \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mstructure through the pml.                                         \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\">             </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\">1.42e-06</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-08</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;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m1.42e-06\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-08\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"
    },
    {
     "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\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Warning messages were found in the solver log. For more   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">information, check </span><span style=\"color: #008000; text-decoration-color: #008000\">'SimulationData.log'</span><span style=\"color: #800000; text-decoration-color: #800000\"> or use                     </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.download_log(task_id)'</span><span style=\"color: #800000; text-decoration-color: #800000\">.                                       </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Warning messages were found in the solver log. For more   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31minformation, check \u001b[0m\u001b[32m'SimulationData.log'\u001b[0m\u001b[31m or use                     \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.download_log\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m\u001b[31m.                                       \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim_data = job.run(path=\"data/simulation_data.hdf5\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0f7c1a74",
   "metadata": {},
   "source": [
    "## Results\n",
    "\n",
    "### Transmittance, reflectance and absorptance\n",
    "\n",
    "Tidy3D normalizes flux monitors by the power spectrum of the source, so the recorded fluxes are\n",
    "directly the transmittance $T$ and reflectance $R$; the absorptance follows as $A = 1 - R - T$ and,\n",
    "since GaAs is lossless here, it measures ohmic dissipation in the gold alone.\n",
    "\n",
    "For an aperture (Babinet-complementary) metasurface the resonances appear as **transmission peaks**\n",
    "rather than dips: on resonance the slot radiates efficiently into the substrate, while off resonance\n",
    "the continuous metal film reflects almost everything.\n",
    "\n",
    "We also plot $\\sqrt{T}$, the field transmission amplitude, since that is the quantity measured\n",
    "directly by THz time-domain spectroscopy, where the transmitted electric field $E(t)$ is sampled\n",
    "electro-optically."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "16b39ca0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x700 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "resonances found at (THz): [0.554 2.113 3.751]\n"
     ]
    }
   ],
   "source": [
    "def find_peaks(x, y, height=0.1):\n",
    "    \"\"\"Positions and heights of local maxima of y(x) above a threshold.\"\"\"\n",
    "    i = np.arange(1, len(y) - 1)\n",
    "    mask = (y[i] > y[i - 1]) & (y[i] > y[i + 1]) & (y[i] > height)\n",
    "    return x[i][mask], y[i][mask]\n",
    "\n",
    "\n",
    "T = sim_data[\"T\"].flux.values\n",
    "R = sim_data[\"R\"].flux.values\n",
    "A = 1 - R - T\n",
    "\n",
    "f_thz = freqs / THz\n",
    "f_peak, T_peak = find_peaks(f_thz, T, height=0.1)\n",
    "\n",
    "fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(8, 7), sharex=True, tight_layout=True)\n",
    "\n",
    "ax1.plot(f_thz, T, label=\"$T$\")\n",
    "ax1.plot(f_thz, R, label=\"$R$\")\n",
    "ax1.plot(f_thz, A, label=\"$A$\")\n",
    "ax1.set_ylabel(\"normalized power\")\n",
    "ax1.set_ylim(0, 1)\n",
    "ax1.legend()\n",
    "ax1.set_title(\"metasurface response at normal incidence\")\n",
    "\n",
    "ax2.plot(f_thz, np.sqrt(T), color=\"k\")\n",
    "ax2.plot(f_peak, np.sqrt(T_peak), \"v\", color=\"tab:red\", ms=8)\n",
    "for fp, tp in zip(f_peak[:2], T_peak[:2]):\n",
    "    ax2.annotate(\n",
    "        f\"{fp:.2f} THz\",\n",
    "        xy=(fp, np.sqrt(tp)),\n",
    "        xytext=(0, 12),\n",
    "        textcoords=\"offset points\",\n",
    "        ha=\"center\",\n",
    "        color=\"tab:red\",\n",
    "    )\n",
    "ax2.set_xlabel(\"frequency (THz)\")\n",
    "ax2.set_ylabel(\"field transmission $\\\\sqrt{T}$\")\n",
    "ax2.set_xlim(0, 6)\n",
    "ax2.set_ylim(0, 1)\n",
    "\n",
    "plt.show()\n",
    "\n",
    "print(\"resonances found at (THz):\", np.round(f_peak, 3))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7d05381d",
   "metadata": {},
   "source": [
    "The two lowest peaks are the modes that carry the coupling in the experiment; compare them against\n",
    "the measured $\\nu_1 = 0.52$ THz and $\\nu_2 = 1.95$ THz. Some offset is expected from the\n",
    "idealizations listed at the top - nominal rather than fabricated dimensions."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9624f038",
   "metadata": {},
   "source": [
    "### Near-field distributions of the two modes\n",
    "\n",
    "The coupling strength is set not by the transmittance but by how tightly the vacuum field is\n",
    "confined where the matter system is located. The map below shows $|\\mathbf{E}|$ in a plane 0.5 um below the\n",
    "gold at each of the two resonance frequencies."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "1720bc6d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x480 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(1, 2, figsize=(12, 4.8), tight_layout=True)\n",
    "\n",
    "for ax, f_i, label in zip(axes, f_modes, [\"nu_1\", \"nu_2\"]):\n",
    "    sim_data.plot_field(\"field_xy\", \"E\", val=\"abs\", f=f_i, ax=ax)\n",
    "    ax.set_title(f\"{label} = {f_i / THz:.2f} THz\")\n",
    "    ax.set_aspect(\"equal\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bad2ecdb",
   "metadata": {},
   "source": [
    "What to look for: an LC resonance concentrates $|\\mathbf{E}|$ across the central capacitive gap,\n",
    "with the surrounding loop carrying the circulating current that provides the inductance, so $\\nu_1$\n",
    "should appear as a single lobe straddling the gap. The higher-order mode $\\nu_2$ should carry\n",
    "additional nodes along the arms and therefore vary on a shorter length scale.\n",
    "\n",
    "\n",
    "A vertical cut shows how deep the field reaches into the substrate."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "ac9b3adb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x480 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(1, 2, figsize=(12, 4.8), tight_layout=True)\n",
    "\n",
    "for ax, f_i, label in zip(axes, f_modes, [\"nu_1\", \"nu_2\"]):\n",
    "    sim_data.plot_field(\"field_xz\", \"E\", val=\"abs\", f=f_i, ax=ax)\n",
    "    ax.set_title(f\"{label} = {f_i / THz:.2f} THz\")\n",
    "    ax.axhline(0, color=\"w\", lw=0.8, ls=\"--\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a7a976da",
   "metadata": {},
   "source": [
    "The confinement depth read off this cut is the design constraint that matters for the experiment.\n",
    "The mode is bound to the metal surface and decays into the GaAs over a scale set by the slot\n",
    "dimensions - tens of micrometers at most - rather than by the free-space wavelength of several\n",
    "hundred micrometers. That mismatch is exactly the sub-wavelength confinement that makes\n",
    "$\\Omega_\\mathrm{R}/\\omega_\\mathrm{c} > 1$ attainable. "
   ]
  }
 ],
 "metadata": {
  "applications": [
   "Metamaterials, gratings, and other periodic structures",
   "Microwave and RF devices"
  ],
  "description": "This notebook models a compact, inverted (Babinet-type) gold metasurface resonator on GaAs. The gold film is described by a surface impedance boundary condition, so the mesh never has to resolve the metal. The notebook computes the transmittance, reflectance and absorptance spectra from 0.1 to 6 THz, identifies the LC resonance near 0.5 THz and the higher-order mode near 2 THz, and maps their confined near fields below the metal.",
  "feature_image": "./img/THzMetasurface.png",
  "features": [
   "Mesh override",
   "Surface impedance boundary condition"
  ],
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "keywords": "terahertz, THz, metasurface, LC resonator, Babinet, metasurface, LossyMetalMedium, gold, GaAs, 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": "3.11.8"
  },
  "title": "How to model a deep-strong coupling THz metasurface in Tidy3D FDTD",
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