{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "5efc702b",
   "metadata": {},
   "source": [
    "# Adjoint optimization of a diffractive beam splitter\n",
    "\n",
    "In this notebook, we will use inverse design and Tidy3D to create a 7x7 diffractive beam splitter using topology optimization.\n",
    "\n",
    "A similar approach was presented in the work of `Dong Cheon Kim, Andreas Hermerschmidt, Pavel Dyachenko, and Toralf Scharf, \"Adjoint method and inverse design for diffractive beam splitters\", Proceedings of SPIE 11261, Components and Packaging for Laser Systems VI, (2020).` [DOI: https://doi.org/10.1117/12.2543367](https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11261/1126115/Adjoint-method-and-inverse-design-for-diffractive-beam-splitters/10.1117/12.2543367.short), where the authors used the adjoint method to optimize the design with RCWA, starting from a pre-optimized structure obtained using the iterative Fourier transform algorithm.\n",
    "\n",
    "In this example, we will achieve similar results using FDTD, starting from a random distribution. The final structure is a grating that splits the power of an incident plane wave equally into the first seven diffraction orders along the x and y directions.\n",
    "\n",
    "<img src=\"img/adjoint_26.png\" alt=\"diagram\" width=\"500\"/>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "a8eba291",
   "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\">15:28:34 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Using canonical configuration directory at                </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/filipe/.config/tidy3d'</span><span style=\"color: #800000; text-decoration-color: #800000\">. Found legacy directory at           </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'~/.tidy3d'</span><span style=\"color: #800000; text-decoration-color: #800000\">, which will be ignored. Remove it manually or run      </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'tidy3d config migrate --delete-legacy'</span><span style=\"color: #800000; text-decoration-color: #800000\"> to clean up.               </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:28:34 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Using canonical configuration directory at                \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'/home/filipe/.config/tidy3d'\u001b[0m\u001b[31m. Found legacy directory at           \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'~/.tidy3d'\u001b[0m\u001b[31m, which will be ignored. Remove it manually or run      \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'tidy3d config migrate --delete-legacy'\u001b[0m\u001b[31m to clean up.               \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import autograd.numpy as anp\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import optax\n",
    "import tidy3d as td\n",
    "from autograd.tracer import getval\n",
    "from IPython.display import clear_output, display\n",
    "from tidy3d import web\n",
    "from tidy3d.plugins.autograd import (\n",
    "    make_erosion_dilation_penalty,\n",
    "    make_filter_and_project,\n",
    "    rescale,\n",
    "    value_and_grad,\n",
    ")\n",
    "\n",
    "td.config.local_cache.enabled = True\n",
    "\n",
    "\n",
    "def _to_float(x):\n",
    "    \"\"\"Unwrap traced/xarray value to plain Python float.\n",
    "\n",
    "    Order matters: unwrap xarray DataArray first, then numpy scalar,\n",
    "    then autograd ArrayBox, then convert to float.\n",
    "    \"\"\"\n",
    "    if hasattr(x, \"values\") and hasattr(x, \"dims\"):\n",
    "        x = x.values\n",
    "    if hasattr(x, \"item\"):\n",
    "        x = x.item()\n",
    "    x = getval(x)\n",
    "    return float(x)\n",
    "\n",
    "\n",
    "np.random.seed(111)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "79940d22",
   "metadata": {},
   "source": [
    "## Simulation Setup\n",
    "\n",
    "First we will define some global parameters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "53f332a7",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Wavelength and frequency\n",
    "wavelength = 0.94\n",
    "freq0 = td.C_0 / wavelength\n",
    "fwidth = 0.1 * freq0\n",
    "run_time = td.RunTimeSpec(quality_factor=20)\n",
    "\n",
    "# Material properties\n",
    "permittivity = 1.4512**2\n",
    "\n",
    "# Etch depth and pixel size\n",
    "thickness = 1.18\n",
    "pixel_size = 0.01\n",
    "\n",
    "# Unit cell size\n",
    "length = 5\n",
    "\n",
    "# Distances between PML and source / monitor\n",
    "buffer = 1.5 * wavelength\n",
    "\n",
    "# Distances between source / monitor and the mask\n",
    "dist_src = 1.5 * wavelength\n",
    "dist_mnt = 1.1 * wavelength\n",
    "\n",
    "# Resolution\n",
    "min_steps_per_wvl = 15\n",
    "\n",
    "# Target diffraction orders\n",
    "TARGET_ORDER = 3\n",
    "NUM_TARGET_ORDERS = (2 * TARGET_ORDER + 1) ** 2\n",
    "\n",
    "# Fabrication penalty weight\n",
    "FAB_WEIGHT = 0.2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "0da29357",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Total z size and center variables\n",
    "Lz = buffer + dist_src + thickness + dist_mnt + buffer\n",
    "z_center_slab = -Lz / 2 + buffer + dist_src + thickness / 2.0"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "26aade06",
   "metadata": {},
   "source": [
    "Next, we determine the resolution of the design region, as well as the number of pixels."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ca861c8f",
   "metadata": {
    "lines_to_next_cell": 2
   },
   "outputs": [],
   "source": [
    "# Number of pixel cells in the design region (in x and y)\n",
    "nx = ny = int(length / pixel_size)\n",
    "dl_design_region = pixel_size"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b7db1d25",
   "metadata": {},
   "source": [
    "### Define Simulation Components\n",
    "\n",
    "Next, we will define the static structures, [PlaneWave](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.PlaneWave.html) source, and monitors.\n",
    "\n",
    "The monitor used in the optimization is a [DiffractionMonitor](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.DiffractionMonitor.html)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1eaa195f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Substrate\n",
    "substrate = td.Structure(\n",
    "    geometry=td.Box.from_bounds(\n",
    "        rmin=(-td.inf, -td.inf, -1000),\n",
    "        rmax=(+td.inf, +td.inf, z_center_slab - thickness / 2),\n",
    "    ),\n",
    "    medium=td.Medium(permittivity=permittivity),\n",
    ")\n",
    "\n",
    "# Source\n",
    "src = td.PlaneWave(\n",
    "    center=(0, 0, -Lz / 2 + buffer),\n",
    "    size=(td.inf, td.inf, 0),\n",
    "    source_time=td.GaussianPulse(freq0=freq0, fwidth=fwidth),\n",
    "    direction=\"+\",\n",
    ")\n",
    "\n",
    "# Monitor used in the cost function\n",
    "diffractionmonitor = td.DiffractionMonitor(\n",
    "    name=\"diffractionmonitor\",\n",
    "    center=(0, 0, +Lz / 2 - buffer),\n",
    "    size=(td.inf, td.inf, 0),\n",
    "    interval_space=[1, 1, 1],\n",
    "    colocate=False,\n",
    "    freqs=[freq0],\n",
    "    apodization=td.ApodizationSpec(),\n",
    "    normal_dir=\"+\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "308eb780",
   "metadata": {},
   "source": [
    "Next, we will define auxiliary functions to create the optimization volume, and filters to address fabrication constraints.\n",
    "\n",
    "The structure consists of `nx` by `ny` pixels, representing etched areas on the substrate.\n",
    "\n",
    "To ensure minimum feature sizes, we will use the auxiliary function [make_filter_and_project](https://docs.flexcompute.com/projects/tidy3d/en/v2.9.0/api/_autosummary/tidy3d.plugins.autograd.invdes.make_filter_and_project.html) to create a [FilterAndProject](https://docs.flexcompute.com/projects/tidy3d/en/v2.9.0/api/_autosummary/tidy3d.plugins.autograd.invdes.FilterAndProject.html#tidy3d.plugins.autograd.invdes.FilterAndProject) object, which applies convolution and binarization filters to enforce binarization and minimum feature sizes.\n",
    "\n",
    "We will also use [make_erosion_dilation_penalty](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.autograd.invdes.make_erosion_dilation_penalty.html) to create an [ErosionDilationPenalty](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.invdes.ErosionDilationPenalty.html) object, which promotes structures invariant under erosion and dilation, further helping to avoid small feature sizes.\n",
    "\n",
    "For more information on fabrication constraints, please refer to [this](https://www.flexcompute.com/tidy3d/learning-center/inverse-design/Inverse-Design-in-Photonics-Lecture-4-Fabrication-Constraints/) lecture."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "769f0ac1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Creating filters\n",
    "radius = 0.1\n",
    "\n",
    "filter_project = make_filter_and_project(radius, dl_design_region)\n",
    "erosion_dilation_penalty = make_erosion_dilation_penalty(radius, dl_design_region, beta=10)\n",
    "\n",
    "\n",
    "def get_eps(params: anp.ndarray, beta: float) -> anp.ndarray:\n",
    "    \"\"\"Get the permittivity values (1, permittivity) array as a function of the parameters (0, 1)\"\"\"\n",
    "    density = filter_project(params, beta)\n",
    "    eps = rescale(density, 1, permittivity)\n",
    "    return eps.reshape((nx, ny, 1))\n",
    "\n",
    "\n",
    "def make_slab(params: anp.ndarray, beta: float) -> td.Structure:\n",
    "    \"\"\"Make the optimization design region\"\"\"\n",
    "    box = td.Box(center=(0, 0, z_center_slab), size=(2 * length, 2 * length, thickness))\n",
    "    eps_data = get_eps(params, beta)\n",
    "    return td.Structure.from_permittivity_array(geometry=box, eps_data=eps_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d0ad4ed1",
   "metadata": {},
   "source": [
    "Finally, we will define an auxiliary function that returns the simulation object as a function of the optimization parameters and the binarization control variable, `beta`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d7af158c",
   "metadata": {},
   "outputs": [],
   "source": [
    "def make_sim(params: anp.ndarray, beta: float) -> td.Simulation:\n",
    "    \"\"\"The simulation as a function of the design parameters.\"\"\"\n",
    "\n",
    "    slab = make_slab(params, beta)\n",
    "\n",
    "    # Mesh override structure to ensure uniform dl across the slab\n",
    "    design_region_mesh = td.MeshOverrideStructure(\n",
    "        geometry=slab.geometry,\n",
    "        dl=[dl_design_region] * 3,\n",
    "        enforce=False,\n",
    "    )\n",
    "\n",
    "    return td.Simulation(\n",
    "        size=(length, length, Lz),\n",
    "        grid_spec=td.GridSpec.auto(\n",
    "            min_steps_per_wvl=min_steps_per_wvl,\n",
    "            override_structures=[design_region_mesh],\n",
    "        ),\n",
    "        boundary_spec=td.BoundarySpec(\n",
    "            x=td.Boundary(\n",
    "                plus=td.Periodic(),\n",
    "                minus=td.Periodic(),\n",
    "            ),\n",
    "            y=td.Boundary(\n",
    "                plus=td.Periodic(),\n",
    "                minus=td.Periodic(),\n",
    "            ),\n",
    "            z=td.Boundary(\n",
    "                plus=td.PML(),\n",
    "                minus=td.PML(),\n",
    "            ),\n",
    "        ),\n",
    "        structures=[substrate, slab],\n",
    "        monitors=[diffractionmonitor],\n",
    "        sources=[src],\n",
    "        run_time=run_time,\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d7b821d6",
   "metadata": {},
   "source": [
    "Now, we will create a simulation with random parameters to test and visualize the setup."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "aa9c07f2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Make symmetric, random starting parameters\n",
    "params0 = np.random.random((nx, ny))\n",
    "params0 += np.fliplr(params0)\n",
    "params0 += np.flipud(params0)\n",
    "params0 /= 4.0\n",
    "\n",
    "beta0 = 1.0\n",
    "\n",
    "sim = make_sim(params=params0, beta=beta0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "76dce917",
   "metadata": {
    "lines_to_next_cell": 1
   },
   "outputs": [
    {
     "data": {
      "image/png": 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61HkBAXDofzsBiO3foUOHuHQxr6ke96ZLmQy4qG5aqmMsS5eV4drQtm1bsi0MwzQe+D6dWNL1Pv3II4/gueeew9///nf06dOnzvaKigpSOQUFBbEx1KFDByxevBiO48SJH/EeGwY9e/bExx9/jE8//RQ7d+7Ecccdh5ycHNx2220488wztfvyPZpJFxpkGGq7du2Qn5+Pjz/+2Nf+7j8+XbduXVx6TU0NNmzYUOcfo/bq1Qvjxo3D0qVLsWzZMmzevBkzZ86Mbc/MzMTZZ5+Nhx9+GJ9++il++9vf4u23346Fn6gw7Xf00Ufj+++/x9lnn43S0tI6H/eJ4tFHH41oNIpPP/1UWx/1iZGqf9y0sP5x7JIlS7Bjxw7Mnj0bt956K37yk5+gtLRUGpLh52nXyJEjsWfPHkyZMgXLly+X/rPgk046CR06dDB+/vjHP8b2cW9orhB1WbVqFaLRqPSG56VPnz74z3/+U+cJ7cqVK+PKP/7449G0adM69dTU1GDt2rXGenr06AEA2LBhg3T7nj176qS5T8HDxrVBfOEAwzANE75P833axLJly/Cb3/wGo0ePxi9+8QtpHsr9uUOHDnFvHu3Tpw9++OEHfPbZZ3FliffYsMjIyEDPnj1x+umno3Xr1li8eDGi0ajRK8r3aCZdaJBiMTMzE0OGDME///nPOhNpwOzSLy0tRVZWFh599NG4vE8++SR2796NQYMGATj0rwsOHjwYt2+vXr2QmZkZC3H4/vvv65TvXohkYRAulP0uvfRSbN68GX/5y1/q5N23b1/sjXFDhgxBZmYmJk2aVOcpn7d9LVq0qPPKcRknnngi2rdvj5kzZ8a14fXXX8dnn30W65+guE+8vDbW1NTgscceq5O3RYsWVuEuL774IubOnYvf//73uOuuu3D55Zdj3Lhx+M9//hOXz8+axbPOOgutW7fG448/HlfW448/jubNm8f1z/bt2/H555/HraX52c9+htraWsyaNSuWVl1djaeffhr9+/ePPYkuKChAaWkp/v73v8fdNP72t79h7969GDp0qLYPjjjiCHTq1El6jgCo8wr2119/Hfv370/Iq7NXr16NgoIC9OzZM/SyGYZJP/g+zfdpHVu2bMGll16K008/PfZGVRl+1ixedNFFaNasWZyNjuNg5syZOOKII3DqqafG2fH555/jwIEDJLtN7Nu3D/feey86dOiAK664QpuX79FMutBgw1B/97vf4c0338SZZ54Ze131li1bMG/ePCxfvjzuldEi7dq1w9ixYzFx4kScd955GDx4MNatW4fHHnsMJ510UuzfHrz99tsYNWoUhg4dimOOOQYHDx7E3/72NzRp0iQWnz5p0iQsXboUgwYNwpFHHolt27bhscceQ8eOHbWvZqbsd9VVV+GFF17AjTfeiMWLF+O0005DbW0tPv/8c7zwwgt44403cOKJJ6Jbt2645557cP/99+OMM87AxRdfjEgkgn/9618oLi7GlClTABx6NfLjjz+OyZMno1u3bmjfvn1sEb6XZs2a4Q9/+AOuueYanHnmmbjiiitir+Tu0qULbrvtNr+HLY5TTz0VrVq1wvDhw3HLLbcgIyMDf/vb36QXwn79+mHu3LkYM2YMTjrpJOTm5uLCCy+Ulrtt2zbcdNNNGDhwIEaNGgUAmD59OhYvXoyrr74ay5cvj4Wj+l2zeP/992PkyJEYOnQoysrKsGzZMvz973/Hb3/727j/zzR9+nRMnDgRixcvjv2/rP79+2Po0KEYO3Ystm3bhm7duuGvf/0rvvrqKzz55JNxdf32t7/FqaeeGhvn33zzDR566CGce+65OO+884y2XnTRRXj55ZfrhOMAwGeffYYLLrgAgwcPxrfffotHHnkEBQUFeO+99/Dcc88Zb3Q2lJeX48ILL+T1EAzTiOD7NN+nVffpW265Bd999x3uuOMOPP/883HbTjjhBJxwwgkA/K1Z7NixI0aPHo0HH3wQBw4cwEknnYT58+dj2bJlmDNnTlxo5tixY/HXv/4VGzZsiPu/kJMnTwZwaL0mcOghrbsOdNy4cbF8l156KYqLi3HcccehsrISTz31FL788kssWLAAeXl5Rlv5Hs2kBcl67Woq+Prrr51hw4Y57dq1cyKRiHPUUUc5I0eOdKqrqx3HOfxKYdlrux3n0Cu4e/To4TRr1swpLCx0brrpJmfnzp2x7V9++aVz7bXXOkcffbSTnZ3ttG7d2hk4cKDz1ltvxfIsWrTIueiii5zi4mInKyvLKS4udq644grnP//5j9Z26n41NTXOH/7wB6dnz55OJBJxWrVq5fTr18+ZOHFinX8D8dRTTzl9+/aN5TvzzDOd8vLy2PaKigpn0KBBTl5engMg9vpk8ZXcLnPnzo2V17p1a+cXv/iF880338TlGT58uNOiRYs67ZswYYJDGX7vvvuuc8oppzg5OTlOcXGxc8cddzhvvPFGHXv27t3r/PznP3datmzpANC+nvviiy928vLynK+++iou/ZVXXnEAOH/4wx+MdlGYNWuW86Mf/cjJyspyjj76aGfq1Klxr652nMP9IPbtvn37nN/85jdOUVGRE4lEnJNOOslZuHChtJ5ly5Y5p556qpOdne20a9fOGTlypFNZWUmy8cMPP3QA1HmtOwBnzJgxztChQ52cnBynQ4cOzvTp052ZM2c6zZs3d6677jrHcdTnkNsu8ZXysvHw2WefOQDizhuGYRoHfJ/m+7SMM888k/SvqvxSW1vr/O53v3OOPPJIJysry+nZs6fz97//vU4+99+KbNiwIS5dZZvYX3/4wx+cHj16ONnZ2U6rVq2cwYMHO2vWrCHbyfdoJh3IcJwE+KsZhqk3nH322SguLsbf/va3WFpGRgYmTJiA++67L+H1jx49GkuXLsXq1av5qSXDMAzDeOB7NJNqGuSaRYZh6Pzud7/D3LlzY69aTyY7duzAE088gcmTJ/NNiGEYhmEE+B7NpJoGu2aRYRga/fv3V/5fyETTpk0b7N27NyV1MwzDMEy6w/doJtWwZ5FhGIZhGIZhGIapA69ZZBiGYRiGYRiGYerAnkWGYRiGYRiGYRimDiwWGYZhGIZhGIZhmDrwC26IRKNRfPvtt8jLy+M3QjEMAMdxsGfPHhQXFyMz0/650/79+0mL9rOyspCdne3HRIZhJPD9jGGY+kyy5h8yGuOchMUikW+//RZ33303mjdvnpDys7KyYgM+Go2m5M1XTZs2RdOmh4dEdXU1kr2kNSMjA5FIJPb74MGDOHjwYFJtAPh4uJiOx5///Gds2rQJHTt2tCp3//79yMnJIeUtKirChg0bGt3FmWESxbfffotOnTql2gyGYZhAJHr+IaMxzklYLBLJy8tD8+bNccIJJ8RNnsOipqYGu3fvBgAUFBQgKysr9DpMRKNR7NixA8AhsVRQUJB0GwBg9+7dMXHWpk0bX0+NgsLH4zCq41FdXQ3g0Llhi434rqioQE1NTaO6MDNMInHP2dtuu015P/M+mBIfUsm8kSYPpVuG96+qHG+6mEe2j+ohmsomWX43TaxbZo97DfSmy9onfkz2Um1Vpbv26I4F1ZMslm+y2W+5pjIo5erKFI8LpWwbb7vY594xoxrLXlui0ahy7Ih5bfrH5pzQjU1x7HrTZeeKDt15J9pnKqu6uhpTp05N+PxDRmOck7BYJOIO3EgkErp3saamBrt27Yo96fjhhx/QvHnzpAoUV5g0a9YMkUgE+/fvR21tra8TMQh79uxBNBpFbm4uqqursW/fvqQLRj4eh6Ecj6BhbLr9+WXNDBM+3vuZO+GxFQdiWTooYoki0lT12QgBmT3edJ0dKhEgs8WtwxUDlIkyFRvBRRHbujp0Ysu2TLFsVTm6hwWU8mzGsp/7l060uQ8TTOPEtUv2QEH8bqpPVz7FdtWxVolWVXkUwSgrS/WghmJ7IucfMhrrnIRfcJNiampqsH37djRr1gxt27ZF27Zt0axZM2zfvj1poY+uMDlw4ADatm2LNm3aID8/H5WVldizZ09SbAAOCZPKykrk5+ejTZs2aNu2LQ4cOIAdO3YgGo0mxQY+HodJxvGQPYWlTMgYhmEYhmH8Qpl/8JzkECwWU4hXmLjemszMTLRp0yZpAkUUJq73LC8vL6kCxStMXO9ZVlZWUgUjH4/DJOt48IWZYdIDm/NNd36KoZkqr6LOmyL7bdsWFSoPn9cT6PUGytogliPLq/Mm6tpNuf5RrpfU/cMgjLBaW0ztk+Wl3l9UeVQhxiKm8aAaT+JHNg5lden6yBZK2LTOC6oKKxXTZB57XTsSMRdgsUiHw1BThEyYuLgCZceOHdi+fXucaAgTlTBxcUVCZWVl3O+wkQkTF1egbN++HTt27EhYSCofj8NQj8eBAwcC19WYL74Mk2pME7Sg+6omnLLJp7iPzXXBT2ilSpjq7BBFnUoEe8vUiV6KcDK1TbSJQhiCTRUemcz9dYhl+xlXqnp1oZwmm1QPGcSyZGNVJbx0fRm0j3VhqOJ5KxPpOhuCjIEw5g08/6DDnsUUoBMmLon2aJmEiUuiPVo6YeKSaA8jH4/D2ByP2trawPXxUzyGSS0mjxTVg0U9X6mexbCw9WCqfps8i7q8qnJFRE8L5dqYCC+hTIDK6qAeP9kxEFEJi0R5Im3uPbp262xUtdvkWVSVK+vvRJ8/oh1+6qWMXdU4Vh2zMGDPIh0Wi0mGIkxcEiVQqMLEJVEChSJMXBIlGPl4HMb2eITxdla+MDNM6qCIRO/3sCZXOuFFsZd6fTAJPIqIpO5jEp0qO0ztMAlFW3QCxC+qPjKJbD/1UIWaCluxIu4r2qOzU2YzZTzZikLquJP1gaxdpjbJ6hXLDnKtUP0W6wkKi0U6LBaTiI0wcQlboNgKE5ewBYqNMHEJWzDy8TiMn+Ph/R+QDMMwDMMwTMODxaIFWVlZvgWKH2HiEpZA8StMXMISKH6EiUtYgpGPx2GCHI+g8FM8hkktopdKdw6G+eRdF7JJsVf1m1KvLs0UIqj7iHlV9an61gZbL6uqPWK6LK9NmTb1qfJS02zGTiL6W+c113mldeNHVpbqtyqN0g5vW2ywPW8p3kNqul+bbWzjOYkcFosWZGZmorKy0lqgBBEm3rqDCJSgwsQlqEAJQ5gEFYx8PA6TSqEIsFhkmHRAN1ELGkJGwa9wFO2npPsRs2EKRb+EITB1hGUrRQT5LTcMdA9AwsIUQmozpijtEX/bnA/U9vh9sOP32qIqI0xYLNJhsWhBdXU1amtrrQRKGMLExa9ACUuYuPgVKGEKE7+CkY/HYVItFAEWiwxTH5Cdi6o0v+Wb6jaV7ddD4gfK5F70KlGRiUFq24JeL8MSpEGEoo348VumKZ8fL5bMkyjbHoaQDiLa/OYJchyox1QlEhMFi0U6LBYtcBwHBQUFZIESpjBxsRUoYQsTF1uBkghhYisY+XgcJh2EIsBikWHSHZMXJgwhlyivka5c6vVF50XU5VXZEIZITQQ64e9XMKnSEmmDLUH6k/KQwNQnfgSkri/EMsLqN4ptJpGtunYk0nuog8UiHRaLljRt2pQkUBIhTFyoAiVRwsSFKlASKUyogpGPx2HSRSgCLBYZJh3wc74l68m/zW8KugmvrSD0GzYYZr9RxLvf66npQUEY+H0AQS0jkYLTj+eRMm5EIWkq14/dqt9h9JHJ7jCObxiwWKTDYtEHJoGSSGHiYhIoiRYmLiaBkgxhwsfjMOlwPBiGYRiGYZiGAYtFn6gESjKEiYtKoCRLmLioBEoyhQkfj8Okw/Ggwk/xGCa16LxQlHA36gtddF4e2/PdT9iarYdGFU5IfSlJsj2NFM+amy7bV7WfKXTQtM3k6aTUpfota4+uvqDYlOHnpTay/b1lUOqjtiEMz62sXG9+0TaqJ54ydsKAPYt0+B+lBcAVKNu3b8eOHTuQn5+PHTt2JEWYuLgCZceOHdi+fTvatGmDysrKpAkTF1d8VFZWxtKSLUz4eBwmHY4HhcZ88WWYVGN77unWQlFD59z9HMfR1q/aFkQcUkStqcyMjIy4v8kgaD2irSbBKNtPdtzEbTJ7dcdR9/BAZpuqPpm9NiTqOFIFXhCbveNR3G46V8R+NaV7t7nfZXXIylPZ6JdEPGBh1LBYDIgrUL777rukebBEXIGyfft2bN++HQDQrl27pAkTF1GgpEKY8PE4TDocDxN8sWaY9EY1oZOJCBHqpNP7m+LRpFwzbIWDKj+1Phl+RQClPpNg9SO4dILDJE509uvqonqrdGJDVobKy0t9WCHuZ0PY+/kZf9QxFLQMyj66Bzdh1esHnn/QYbHIMEzK4Is1w6QXphfA+Enze45TPReyNJXXxjZcT1aPSTCFRSJfbmIruEWRJbbf5PUT66d+16X5wU+ocNhQbKA+7BAFvew4Ucu0ebgjpsvOVdtzz+TpDBuef9DhNYsBcdfEuR6tgwcP+vpH8UFw18QdPHgwFuro5x/FB8W7Ji7IP4oPAh+Pw6TD8TDB6wMYhmEYhkk2lPkHz0kOwWIxAOLLUyKRiK9/FB8E8eUpkUjE1z+KD4r48hS//yg+CHw8DpMOx4NhmPSGsobI5gUdlBdxuPWKky/dGjYTVK9isqFMMGV9p+pH235W2SIL96ROkMXjJfttKsf03cYWv5N4Uz+K3r8gL2VJJuI4ErdRMJ2LNu20uV7oxr3MRiZ5sFj0ieotm7b/KD4Iqrds2v6j+KCo3rKZTIHCx+Mw6XA8qPBTPIZJH8SwwrA+Yh0UASBDVp4osPxMlFUCSOwTHaZrl5/rm0kc+hWPNjaoRB2lbVThKdZjYz8VXV/ZPPCgHkc/9zLTuaArw895YWqvjZCX2RHmNSMR2I7bxjwnYbHoA9O/Y0iGQDH9O4ZkCRTTv2NIhkDh43GYdDgeNvCFmWHSH5UHIIxJtuncN03u3d+qdIpd3r8m/IpHUz6bslVQvDQmbO0O8glqgwq/HjWdPd6/qjx+7LYVkSbBqPNQq9LF7UGPp+31wsbLGCYsFumwWLTk4MGDpLdsJlKgUP9vX6IFCvX/9iVSoFD/jyIfj8PUJ8HIMEzisJ2MUSZw3u1hTsQoE06KnbJ6vBNxmT021yRVPlMZoji2mXBTBLvO60ppUzKwrcckfrzbbPpNlq47bqZjakIsQ3VOqPLo2q36nsgHPaIdOnTeRNP1IAxYKNJgsWhBRkYGdu/eTf53DIkQKLb/4D1RAsX2H7wnQqBQhaILH4/DpItg5Iszw9Q/dJNNk1CinvM6b6LJQ0FBJghV+ajYtF2Gytuja5NK7Kj2p3iXRFEpPgDQYXsNlx1zirA1PSTw46kyedxUtuvaa3MfMz1osC1PtN1WLMvamJmZaTx3ZeeVrUBNBrbXpcY8J2GxaEEkEkGTJk2s/m9fmALFVpi4hC1QbIWJS5gCxVYouvDxOEw6CMawL8xTpkzBSSedhLy8PLRv3x5DhgzBunXrjPvNmzcPPXr0QHZ2Nnr16oXXXnvNb5MYhmEYhklzkiEWG8qchMWiBdFoFPn5+db/4D0MgeJXmLiEJVD8ChOXMASKX6HowsfjMKkWjGFfmN955x2MHDkS77//PsrLy3HgwAGce+65qKqqUu7z3nvv4YorrsCIESOwZs0aDBkyBEOGDMHHH38ctHlMIydREwXHcTB+/Hh06NABOTk5KC0txfr16xPVDGsonhbK+U71QPjxIlHs1l1/vNuo3iC/3iEZJs8g1etq600L2xtkCiGV5VWli3l0eYO0Q3U8TceXevzD8GSp+oS6j84e3XliOi/SiWSIxYYyJ2GxaEFNTY21MHEJIlCCChOXoAIlqDBxCSJQggpFFz4eh0m1YAyThQsX4uqrr0bPnj3Ru3dvzJ49Gxs3bsTq1auV+zzyyCM477zzcPvtt+PYY4/F/fffjx//+MeYPn16Ei1nGiKJmig88MADePTRRzFz5kysXLkSLVq0QFlZGfbv35+MZlnjd7LphRqCSll7RbHPTxvFOlRi2VSGX1TikCKYTCGKJkFmEmvU0EdKmKTYPm+a2N4wwh1tjpl4/Cll6Mo2jUvTeKUeB1Uf6cZ1GOcNpQ31mYYyJ2GxmET8CJSwhImLX4ESljBx8SNQwhKKLnw8DuPneBw8eDBwvWE/xRPZvXs3AKB169bKPCtWrEBpaWlcWllZGVasWBGoboZJxETBcRxMmzYN48aNw0UXXYQTTjgBzzzzDL799lvMnz/fyj7qJJpyLlK2257PNqLChO3EXZVH1w5ZHbrrWRCvEXW7SiR4t+uERDQaJfe1rRCR7SOrT/VAQJVHbBeln6hQHjZ485nGC2UsUfaljCWqYDfV69deEzbnQ9AHAG59ifYsitTXOUnTlNVcTzl48GDgNWYFBQXYuXMntm3bhlatWmmfpO7cuRMHDx5Eq1atACC0F6Lk5+fH2dCsWTNl3qqqKuzduxe5ubmIRCKh2RCJRNC8eXPs2rULBw8eRIsWLZR5Dxw4gJ07d6Jp06bIz88PRai48PE4hJ/jERTTxdfdVllZWcfWSCSiLTsajWL06NE47bTTcPzxxyvzVVRUoLCwMC6tsLAQFRUVJvMZxgrqRGHMmDFxaWVlZTEhuGHDBlRUVMRNJgoKCtC/f3+sWLECl19+uZVN7qQrIyNDOgHzpnvPVVkatR4/BJ0cOo6jnFzrvCq29dpMir02hTH5DVKOaj+b8kweriDI9ld5EsW0sLxWMiFoyh+WIDVtC9K/Qc9Nav3iWKdGFrjnSVjniLcu2zY31jkJi0ULfvjhB9TW1oYS6pObm4uamhpUVlYiKyurzoB1HCcW9pqbm4va2lrU1tYGrtdLTk4OampqUFVVhaysLKmn7uDBgzhw4ABatGiBJk2ahB7m1KRJE7Ro0QI1NTVwHAdNm9YdktFoFDU1NYhEIsjKykJ1dXWoNgB8PFxsjkd2dnbg+qhisVOnTnHpEyZMwH333acte+TIkfj444+xfPnywHYyTFDCmii4f20mE9XV1XHXTXeiI5tku+gEjV/vglieKZ8tJuGlqlsnHMVJqs3E2isqZKLcNAF2t1Mnyio7dULL1A6TfX4JUzyKZcl+U4+Xqb9V3mHxfLE9XrKyVWmmcsT9bftaNzbEvqSKRJl4N/WlzCabeil2+RWLjW1OwmLRgv/93//F5MmTkZubm2pTGCbl7N27F7fddlugMqhicdOmTcjPz4+lm57gjRo1Cq+++iqWLl2Kjh07avMWFRVh69atcWlbt25FUVGRyXyGIZPKicKUKVMwceLEpNfLMAyTrgQRi41tTsJi0YIffvgBLVu2jBsgDNNYkXkdbaGKxfz8fNJ55zgObr75Zrz88stYsmQJunbtatynpKQEixYtwujRo2Np5eXlKCkpMTeAYQiEOVFw/27duhUdOnSIy9OnTx9pmWPHjo0Lba2srESnTp1ia5RM52DQkFPRq2DjFaDmtV2/VR/QeUJNIcOqMsIM5/Ubvmjy1PrxyunSbTzhiQh3TAWy84GyhtOvJ9OUpvOa2py7sjBjvwQRi41tTsIvuGEYpsEwcuRI/P3vf8ezzz6LvLw8VFRUoKKiAvv27YvlGTZsGMaOHRv7feutt2LhwoV46KGH8Pnnn+O+++7DqlWrMGrUqFQ0gWlAOI6DUaNG4eWXX8bbb79tNVHw4p0odO3aFUVFRXF5KisrsXLlSuVkIhKJxCY34iRH9qILEdkLHmQTLZlQUb1EQ/eSDaodti+d0K33UvWB37V81HVtJlSCzKbdpv72TsBNH69NKlv9pFPrNdlrQrVOLqy1o5TjrhtrunOIGhqrs832/KGODZ2tOgFPFYq2xzldaChzkrQTi48//jhOOOGE2A2tpKQEr7/+unaf+v4/qRimsaK7efl56vf4449j9+7dGDBgADp06BD7zJ07N5Zn48aN2LJlS+z3qaeeimeffRazZs1C79698eKLL2L+/PnadWUMQyERE4WMjAyMHj0akydPxj/+8Q989NFHGDZsGIqLizFkyBAr+0yTPxHq5JL6oaASqX6uHTbiVDdxpyBOoP2iEjWqNFsBqbLXr82yPvOLTqDajB/Zd1WaX3FPFdSq/Uxp3m1ifSoxZnOe2N5vKee1zjaZjX7r8YtNHzX2OUnahaF27NgRv//979G9e3c4joO//vWvuOiii7BmzRr07NmzTn73f1JNmTIFP/nJT/Dss89iyJAh+PDDD2Md6/5Pqr/+9a/o2rUr7r33XpSVleHTTz8N5SUdDMP4w3TxDRLepGLJkiV10oYOHYqhQ4da1cUwJh5//HEAwIABA+LSn376aVx99dUADk0UvC+zcicK48aNw913343u3bvXmSjccccdqKqqwg033IBdu3bh9NNPx8KFC63vZ96Jl8ojogoPNHkVxTT3u9+wL9VvnQ26kEKq+LCdlNq002SDqgzZMfF6xlRC2Y8Nurop23XHwFSvbd9T+otyXESbvX2q6l8ZNvbLzi3VeNCVSxHEVDts0ihtpQp3lXimPOSxwY/4a6xzkgynHvhzW7dujQcffBAjRoyos+2yyy5DVVUVXn311VjaKaecgj59+mDmzJlwHAfFxcX49a9/jd/85jcADr2+vLCwELNnzya/ZryyshIFBQXYvXs3r1lkGAQ7J9x9O3bsqP1/mdFoFN988w2fdwwTIu75d8cdd8QEpszT4P0LyNcL2XrQbMLOZHlsxKIqjbqvKl3WRzIPH8VbIqbJ6rGxO6jo1T0Q8KapjiNFqOrGkSwfdYIelliU2aM6N0zHWPxNET2UdqjwIxZV9tica5SHDLLjIEuj9Nv+/fvxwAMPJHT+IaOxzknSLgzVS21tLZ5//nlUVVUp12KY/nml6X9SMQyTOsIO+WAYxg4/z4uDhI5R/8m7n5A5yjUjjJC2IIJM5TXxi6pvVOJVJeb8hPtRjonKRhUmW1QiTtVWin1U/DyM0PWhn3FnO3apAtrm3iuez7Jzmnpu2xL0fFHZYfNpjKRdGCoAfPTRRygpKcH+/fuRm5uLl19+Gccdd5w0byL+JxWg/r9UDMOEh+ni21gvzAyTTHTeDW/YnczLKHoD/IaKUTwiut+iR0Q3sQ862VQJLjHdmxZGCJ2sfNV2lVfOtcnGBrFtNl5UU3lB+kUnPk32qMaODd6+NJWnOseCeMO9ZYR1/lBs8go208ME1fVD9ttbnvev34c6JvyIv8Y6J0lLz+KPfvQjrF27FitXrsRNN92E4cOH49NPP02qDVOmTEFBQUHsI/4DToZhGIZpqIgTQl1Ynvtbtq/7Wyxbh+mJvspzJGuDaFPYE04Vur6TpYtilzIpte0jN11Vh84TZKpfZY+NsFSl6x5mqNqsstOmb2U2qMaRmJ7McWZzrtr0EeWcUm0Tf1PGQLL7jqGTlmIxKysL3bp1Q79+/TBlyhT07t0bjzzyiDSvzf+kUuWRMXbsWOzevTv22bRpU5AmMQwjgUM+GCZ9CBrapipP/E4p20ZQ2F4zwvZW6MIMTeGUFOFhg+oamujrKsWTF3a9lHb6qVMn8L3bTcdWtX8QbMeuri9U/aN7CGMS9EGjCbzlJfoBD2X+wXOSQ6SlWBSJRqNxIaFeEvE/qQD9/6ViGCYc+MLMMOmBX8FCFSQmj5Jqguq3TBVBwv50Nvqpn1Kv7eSbKqBU+fzWLfOMesuzmfSLef20w+99xGSjrZfci2if+N2PbX5Cd1XnkUoYUvpRJzpt2moS6mHCYpFO2q1ZHDt2LM4//3x07twZe/bswbPPPoslS5bgjTfeAHDof1IdccQRmDJlCoBD/5PqzDPPxEMPPYRBgwbh+eefx6pVqzBr1iwAhwaD+z+punfvHvvXGX7+JxXDMOHi5wbEMAzDMAwTBD/ir7HOSdJOLG7btg3Dhg3Dli1bUFBQgBNOOAFvvPEGzjnnHACp/Z9UDMOEC4tFhkkdsvPL+6ILXX73u5hf5hFSraHSeelszv2MDPlLOVTpMrwv4pCVo/utSvOWHQTXNt2xEe2g5FXV491fTKeW4wfT2kSKB1vcz2SPrafXVIbOHtl54D1OYYSvBr2fiv3m2qXaV9YmWZniOe49lqaQX5OdfmGxSCftxOKTTz6p3e7nn1dmZGRg0qRJmDRpUlDzGIYJmcZ68WWYdMNWFAD0NU2yyaJMJOrKUG0POsmmij9TW20FCjW/rL22faTDZCsldFAlZm3DNoOuw7NBJ95U9Yr768ai1z6VKPRuV5VFHSeqfWT2Uh6keIUi9eGD6jxXPRyikKg1iwDPP6iknVhkGIZhGKZ+IE62MjMzY5O7aDQqzU/xLMrK1gkPv2uddBPYIGl+7LAR66rJu1/BL4oCWxtUXkkxr2q7yT7vXxtsxapJZKnKp3rtVKLQJk33cMQkXlX2qgQpdVy6eXQe4GR4p5nEwGKRYZiUYbqB8FM/hkkstgJBV44qTTYxNXkadOe+SQAEaQ/VUypus7FXtc12Mi1O/nVhgyoPls7jFUaIpmx/b4ihLtxQ17+y8aOyV1aHjaimeNZM23WCXCcUg/S77FhTypV5Q03IjlUQD7DKzjDnBEHsamywWGQYJmWwWGQYhmEYJtmwWKTDYpFhmJTBYpFhUodu/RLFUyLmp3rlUrmGSeZ5o4bD6ryAtusm/XhMZMdIZZsu3JDizaR6Q6mYPH0qZN4pk0dXF54s+24TQmrqO4r3jnrMTN5jqu2ifTr7ZXbaIvMsysrTnRu2nma/drJYpMFikWGYlMFikWHSA51osJlMe/N631wuy68TiyrxSp1gqiacYn0mgRtkgkpZQ0kJwbUJYzUJDj9Q91WNFcqx9GufqWwbYQroXyajCs2lPDgx1eX9rQoN9qZRRL7pwYBMhOrsc/ehnhN+HgiZRGKYsFikw2KRYZiUwWKRYRoOpomsN5/sL2B+iY0sDwXTPmFda2w9jGHaIfNqUY+JTR2Uein7B10HqSpbN4ZssGmTTogFhWIH5RirHlR4HyhQHl540ylrH/30AbXvg8BikQ6LRYZhUgaLRYapf5jOWcpE2XYCaiMEdF5FGxLhSQwTUaQly7MoK88kVsIMx9WVqfMsBgnftLFF9vDDpr6gx0usVycSvXkoQlEMhfUTyioLp00FLBbpsFhkGIZhGCaOIF4BVVnUdBebUFRbj54slM4m5NSmPl1oXdC1Z6KnThZ6GMSzaNvXqvpt6gtqqywk2fvXbz2UBxWq0E/b8EqZoDKJLJ2HU2aL+EBBVYbONpkNJijeyFSKSKYuLBYZhkkZ7FlkGIZhGCbZsGeRDotFhmFSBotFhkkvEnHOhenZUq15C3udGiWfqU6VfSbPjG4NpzctGd4XP55B3W9KfX7q8aapPItiPSpPnMm7JStb57Xz/ha/6/ATpknNrwtZ9ksixmMiQ1VZLNJhscgwTMpgscgwqSPIRFR1bpom2EHXc+nKNrVHNxkOEpJoK+hUoYRBQlPFdWSqUNCga+eoIZa25foRUzKbdCGoQdZDiuXK6nWRCVHZGkIb0SizyVu2LiQ0LDEolmtKM9Up69MgNtjCYpEOi0WGYVIGi0WGSR+CvlxElUecNNu8CEU2UTatR9OVJ1sHRoUqFih2ucjaZ2qzzgZRqNi009bLFvZEX7wfuL9tvI2yfjcJRpU30DTO/Ipk3TGnoLPL1D7ZGNHZYPJ0J+JhgkiivIssFumwWGQYJmWwWGSY+kdQj6Qq/M+vHVSh6NYv+yvuQxFJFPGomsTLRKvJK0ix068YltUra2MykB2boGJKLEM1BnXeVJO3WIfqOFIfFqi2ieWaRKMuBFqFSWSrbKWOnVSMMYDFog0sFhmGYRiGscJmgiebpJu8VmI9NoJQ57kS7RF/U70oNoJCNekX+0AXvqhrl6w8P+GmqnqTMUFWTdy96X6Er0kcUfvbdFxV4k0WAirLKztHKOHEJoGr8xZT8sva6v1t8jTqaKzCqz7CYpFhmJTBnkWGYRiGYZINexbpsFhkGCZlsFhkmNQRJJyUUoYqxM4UKqnzIlK8kBQo3ipTCKgfz5O3XJ1nyQ8mz5xpX0rIps6LpdpXZ6fMy+s3DFXlqTbtaxsuSfEw69bZybyNVHttw4NNXlVdnapQXZvvKkzrEE3tDCN0lcUiHRaLDMOkDBaLDJNaKBNWnaAJMmnzuy4uyPoo95qjC0X1Wzd1wqwLOaXYQVkfZ8IUnqizhTrRN22niFtdGGoQseFus+1vP8fYtUclvqj3QNuHK7r9go418cGNjVjU9YV3u409fmCxSIfFIsMwKYPFIsOkF7pzzuRJo5SrWmNlmgDbCETqRFisWzWRp9RNFYwmr5IM2z72fqeu99Ot7aOIQ5OXSmejymaq/bI+la3tk2HrhZTtozrOoj0q22R1q0SijVjSrU/UiVaKt9vGyxoE2zbbls1ikQaLRYZhUgaLRYZJD2zONZN4kk06KR4WWZkUj4U4cdV5rGSeRb8eNLFe21A8saywJsZUEeL9rfOEUYStrg9t9qEKXpW4oYpEFWF5tFT96bVNRVheb51gNdkqK09Xn+rhkeq6QB1XYlvChMUincxUG8AwDMMwDMMwDMOkH+xZZBgmZbBnkWFSi25NmF9kHgpdOJ6sbqqHR1eG6KWy8SwG9UiZPEnUOv16oWy8i157VV4oP+GatsjuB6b2UDyMqjGngrLmTqxP3FcX5kklSB9T7DCtgdQdf1l6IsJQXTv89B+lXPYs0mCxyDBMSmmsF1+GSTUyoZis89EkRsIK8ZS1ixqGqpsgiyGyuropNqmwEZzeclXtU4V0ysqmrkOk5PEjHEz9pwqfFOulhlhSbFSFlppsVtWha6Of8UHtZ9P5R63XdhsVWcix1+awrlM8/6DBYpFhmJTBnkWGSR0UUaFC50kLileIBRGJsvbJBFZQkSOzNQyhqCpLd5wonjk/3hSKyLEtN6i3UuUNFY+Dzpsmy0upV1WfF50dpvJ141K3DlCVT4euHX7uwaq+Fb/btFFsXxhzA/Ys0mGxyDBMymCxyDDpAeU8NIWnqSbENuexKBTDCnPzTsB1HtWwX6LhrV/2Pch+OqFvW5+ub2WiLgyxKKtH5lGSbZMhG3+mEGiVuKTgrS8Z48bUB2GIQ2+dOo+taj+qQFY9uFGJ+UT0MYtFOiwWGYZJGSwWGSZ1yESTd5ssP2B+86muDBWysFOVYAkS/mkrcqiTVBuBYSqb6n2SladKo9gaVIxTtpvKVAk31QMKWT0qL5tYHlUsycpX/VZBFbum7SpvLMVWnT06ryzFNlWdtuOTKlTZs5hcWCwyDJMyWCwyDMMwDJNsWCzSYbHIMAzDMI0YlXdRTLP1Mujq8pYnQl2zqFvHpAozDQPXPqpXMOgDMZn3xeQR9uPV1X1XeepMtorl2KZ5y6SOP5kHUbWP7kUvfsKFTV7HoOs0qfXrQmRNaztNkQO67bo2ieenaqxSPMNMcmGxyDBMymDPIsOkDt35ZwpDpZyb1FAySlikTRiqWD41nWKDSdBQbbEJ6xO/y46bTfivSsDYrA/VhSiaHgioQo1l+UwCgTK2TOPWNqzUJKAo9ol124Z8qs4dm3BfVRiqrn7VMaGIRlNIqnebqT85DDW5sFhkGCZlsFhkmPTENOnTTWyp6xdl4kS3VlHE5FXUQRE0unSqxyiIp1HsR6pY1KEThqp2iX1LEYliuqxclQ0yEaMrN8x7iM0aSZVokvWxt0yTd9EkQqkeNrF/TOVSvaw60W3zEIPqhU4ULBbpZKbaAJEpU6bgpJNOQl5eHtq3b48hQ4Zg3bp1xv3mzZuHHj16IDs7G7169cJrr70Wt91xHIwfPx4dOnRATk4OSktLsX79+kQ1g2EYAu7FWvdhGCY5UMJCXcTzUxZiRj2PbUISdXXrQtuoyESMLuzUZCvVFoq3MMj10mu/rH3RaLROW900cZt3P1n/+M3rrU+sU2WD2DZd31L7TnYcTMfQ7ziX9Y8pPwXZeUB9oKJ6aEAZ5zZ9KqtXZU8ioI4LnpOkoVh85513MHLkSLz//vsoLy/HgQMHcO6556Kqqkq5z3vvvYcrrrgCI0aMwJo1azBkyBAMGTIEH3/8cSzPAw88gEcffRQzZ87EypUr0aJFC5SVlWH//v3JaBbDMBL4wswwDMMwTLJhsUgn7cJQFy5cGPd79uzZaN++PVavXo3/+Z//ke7zyCOP4LzzzsPtt98OALj//vtRXl6O6dOnY+bMmXAcB9OmTcO4ceNw0UUXAQCeeeYZFBYWYv78+bj88ssT2yiGYaSYLr6N9cLMMKnCZt2UiCrMTiwvLE+ByWti8p7I7JJ5q2SeODFdVr63P1S2UD1WMq+pbF/dMRDt9/7WebUyMtRr1GTlU4+1yksoluUn1NSUpivTJuxUtY8un3iMxDZSw1RVNnrrUY3DRJyDpvNelyaSjHBUP+Kvsc5J0s6zKLJ7924AQOvWrZV5VqxYgdLS0ri0srIyrFixAgCwYcMGVFRUxOUpKChA//79Y3lEqqurUVlZGfdhGIZhmIaCKjTQu81PeSKqEDS/T+pV+6kElUwQ6kIjxXzeNNl32zQqOs+GLqyPIlxM/UDpl6BhqH7yyWyStVPMYxqDYXmPKOGbqnHlt09kbTQ9MAnSRsoY9LaNKqRV26nHn0kcaedZ9BKNRjF69GicdtppOP7445X5KioqUFhYGJdWWFiIioqK2HY3TZVHZMqUKZg4cWIQ8xmGMcCeRYZJL7zeDu9vU34ZNp4b6uRPN+n3plGvHRQBSLHNO7mX2anyIiULlZCSiRPdvhRvLTVdzKOqW+fR825LVZ9S2m065rI+9iOIZONONxYp9ahsl6WrjpXYPorYTzTsWaST1mJx5MiR+Pjjj7F8+fKk1z127FiMGTMm9ruyshKdOnVKuh0M05BhscgwqSOZT+i9E1RdWCNFVJkEo0xAUieiooii4KcPRRGk8gr5uUbahEuqtlEm937q1XkVZfaZxDV1jFDaYQr3NIlDE9SHBH763s0rq0t1TqlENsVjqKuPEgpNTQ/yAMIEi0U6aRuGOmrUKLz66qtYvHgxOnbsqM1bVFSErVu3xqVt3boVRUVFse1umiqPSCQSQX5+ftyHYZhwUYUA+Q0HWrp0KS688EIUFxcjIyMD8+fPN+4zZ84c9O7dG82bN0eHDh1w7bXXYseOHT5bxDD1E2rol5+QMNN2SoigLG9YoYMmO1XtlKWZbFEJMpvJr01bk/EwQDcWkh0+mOh+VAlIavm23uswRZEslFnnkVedayoo1wG/15VEjBvK/IPnJIdIO7HoOA5GjRqFl19+GW+//Ta6du1q3KekpASLFi2KSysvL0dJSQkAoGvXrigqKorLU1lZiZUrV8byMAyTfMK+MFdVVaF3796YMWMGKf+7776LYcOGYcSIEfjkk08wb948fPDBB7j++uv9NIdhGIZhmHpAMsRiQ5mTpF0Y6siRI/Hss8/ilVdeQV5eXmxNYUFBAXJycgAAw4YNwxFHHIEpU6YAAG699VaceeaZeOihhzBo0CA8//zzWLVqFWbNmgXg0IAYPXo0Jk+ejO7du6Nr16649957UVxcjCFDhqSknQzDhB+Gev755+P8888n51+xYgW6dOmCW265BcChB0u//OUv8Yc//MGqXoapr4Tl3aKG2Hn3l63TsqlX9Z3y28XkKdL9NoXbefehhAi6f6lhlSq7KMcxDE+NKowxqKeZWjfFy+XtZ1M4pWo8UryKfkJFRbtUNsu816ZyxZBTsS6KbWJYqckGbz1+0pIxbrwkIwy1ocxJ0k4sPv744wCAAQMGxKU//fTTuPrqqwEAGzduRGbmYafoqaeeimeffRbjxo3D3Xffje7du2P+/PlxL8W54447UFVVhRtuuAG7du3C6aefjoULFyI7O9vOwJqdQE2tr7YxTIOipv6/IbikpAR33303XnvtNZx//vnYtm0bXnzxRVxwwQWpNo1hEg41LFA2mVWtLZPl96bJyhXzquoUt+nEognT5NVPyKRtWGMiQmdtRYsqP0VsUx8Y6MaKmObnoYEOmRgLip+HKjb7qNYYerdT2k99wEA5j0x5XFttBbXf8ZuM8OpUkK5zkrQTi5QBsGTJkjppQ4cOxdChQ5X7ZGRkYNKkSZg0aVIQ84BN84G8nGBlMExDYM++wEVQPYviv66JRCKIRCKB6z/ttNMwZ84cXHbZZdi/fz8OHjyICy+8kBwywjANFZkw1HlpdB4SG2w8IX7qoIhEU12ix8fktfQrjmw9H37W1clskqXLvqts0D0EUJWt8qJR6hTrFh9S+BGhlDWEVA+at1zZd934UXngg3jlTeM2jIcY3nrE76o07/gNywYdQTyLjW1OknZrFhmGaTyY1ga4F+ZOnTqhoKAg9nFD0IPy6aef4tZbb8X48eOxevVqLFy4EF999RVuvPHGUMpnmHSG4j3TTZr9ihJZGbLzXpbmTRcxTf5shCJFNMrqk9mrq9ftAxtPpm5f3QRcJcR0fS5rq+x4iHXq6tOVYapf1uc27dflVSHbT1aPKOBM3ljKWKWcY5SxakrXnWey/tYh9oWpr2THRDV+bM8VHZT5B89JDpF2nkWGYRoPVM/ipk2b4t5IHMYTPODQ/1M97bTTcPvttwMATjjhBLRo0QJnnHEGJk+ejA4dOoRSD8PUVyieJD/5VJ4RVXkyb4NpIkwJf6Qg835RPIvePLK8NiGGKo8dxQNmapOsDd76VP3u1/uj8vaJx4digwydd1M2Nmz6kJJmEoQqkewXUx2ybX7OJ0Dt/aOcVyavq3h+JRrT/EO1D9D45iTsWWQYJqWYnuABqPNvbMK6MP/www9x658BoEmTJgAa7poIJnn4eW36kiVL8OMf/xiRSATdunXD7Nmz6+SZMWMGunTpguzsbPTv3x8ffPBB+MYzDMM0cPx4FYHGNydhz6ItnYYA/D8XGQaorAQwOlARVM8ilb179+KLL76I/d6wYQPWrl2L1q1bo3Pnzhg7diw2b96MZ555BgBw4YUX4vrrr8fjjz+OsrIybNmyBaNHj8bJJ5+M4uJif41imP+P+9r0a6+9FhdffLEx/4YNGzBo0CDceOONmDNnDhYtWoTrrrsOHTp0QFlZGQBg7ty5GDNmDGbOnIn+/ftj2rRpKCsrw7p169C+ffvQbKeee9SwOi+U9Wk6r6CNbbYeD4rHier98OaxmejpPFUm2yj1yPpS52mieKBsjr1Nfp0XjhLGKeYzrfXzG+Zo4/k05VF5sCnl+j03qMdUtIvaTptzIRleRbcev55FKg1lTsJi0ZasVkAWi0WGQVaTVFtQh1WrVmHgwIGx32PGjAEADB8+HLNnz8aWLVuwcePG2Parr74ae/bswfTp0/HrX/8aLVu2xFlnnZXy11QzDQPb16bPnDkTXbt2xUMPPQQAOPbYY7F8+XJMnTo1JhYffvhhXH/99bjmmmti+yxYsABPPfUU7rrrLmsbvRNvm0mpqhzTvqowNl15lPzesnWTcNl3XZpok00dpvy2fUxZK6ZCFXaqCicUJ9J+Hgro7JChOsYycWhjjy601xbZAwidUAwiGgFaqLLu3LBZz+hHaOoe+Hi3Ux7c6MJakxmeGiYNZU7CYpFhmJQRtmdxwIAB2huSLKTv5ptvxs0332xVD8MkghUrVqC0tDQuraysDKNHjwYA1NTUYPXq1Rg7dmxse2ZmJkpLS7FixQrf9VI8NclC51mUpcswCUHZd92LRGxEhWoSr2oPVRyp8OsBEyfxssm4SeAGGS8Uz6apXpv6bTyaJu+2bLtf4aWyTVaPzNso9l+QNbmq9LDDH22Fo81+tnYk2rPYUOYkLBYZhkkZYYtFhqnPVFRUoLCwMC6tsLAQlZWV2LdvH3bu3Ina2lppns8//1xZbnV1Naqrq2O/3de+6ya41Mlc2JNkbzkqr0WQCaMoDnUeEtMLOWzqpIQP2k5eZQLXJPB0IsMkGsTvunwmW6meWYodpnGrEl4mZB493XZvGvU4qh5KmMY5VWTroBxvGbYPT/wIWz99b0syxGJDgV9wwzBMyvBOkFQfhmGCMWXKlLjXvHfq1CnVJjEMw6QUyvyD5ySHYLHIMEzK4AszwxymqKgIW7dujUvbunUr8vPzkZOTg7Zt26JJkybSPEVFRcpyx44di927d8c+mzZtim3TeQhtz8UwzlfqC1pkngfZy0m8v71/KR9V3Sp7xL7y/pXZHKRPVWGztuF9oo3iNtUYsB0fpvyUumRtoHrBdGHGoh2mdsjSTMdd1Ue640sdo7o2qsazH8+n7DcFal2UfgpzXsBikQ6LRYZhUgZfmBnmMCUlJVi0aFFcWnl5OUpKSgAAWVlZ6NevX1yeaDSKRYsWxfLIiEQidV71DvgLfXT3kxHWeiLKS2RMawpVotHmo8PUdxSR5f3t3W5CJYZl2ym2yewxPUSglGe6pqvSZHXZ3h8o/ULtJ9E2U79Rx4UOv+NVN35N54y3jbo8toQVzh323IDFIh1es8gwTMowXXwb64WZaRjYvjb9xhtvxPTp03HHHXfg2muvxdtvv40XXngBCxYsiJUxZswYDB8+HCeeeCJOPvlkTJs2DVVVVbG3oyYD6jopN49p0klZL+d34qrytsjyiHaoRKtKSMnqluWRtYUqIEzliNuox0nWdpOI9Xt9dutTpXmPua2QdvczbVPVobJXVa5OVFNsoDz0kNkqrm+ktkUHxWabMijnfSoJ80FZQ4fFIsMwDMMkANvXpnft2hULFizAbbfdhkceeQQdO3bEE088Efu3GQBw2WWX4bvvvsP48eNRUVGBPn36YOHChXVeehMmfkUJdbIoEwoiKjFBtVfljVSlU0Sj1zYdqgk/ZV/RBtVvqk1iukq4UAWUX2SCUVeHTozphKcKmfDy22aV91FVLzVdFV4qlq86hlSbdflk9etEKeVaodveWMVYusNikWGYlMGeRaYhM2CA/WvTBwwYgDVr1mjLHTVqFEaNGhXUPACJCTtLFBQRICJOuGVhe96/sjpt0mX2UsWwzn4VqnJtBBClT208lX6wOa62Hlhvul/vmcz7qrIpiKfSm04VwZTxRbEnnUmEjexZpMNikWGYlMFikWEYhmGYZMNikQ6LRYZhUgaLRYZJHbJQNKqHJwxPU9jnN2X9l8qzKMtrE5ZoCu+keJNkZejCe03hs7JyRE+naCM1VFBmm20ooyxdhhjaabPmT0xXHRedrSY7VeNAdTxtPLm2NqiOa5iEUV5QT3IYNrBYpMNikWGYlMFikWFSh3j+UURNukIJ6ROFoiyfn+uRzXXKJBZkk31TPlm67qUntusfTbbq1v7Zih5KfZSybUQvpS4VYRx7qh2UkHGd+K1P91PTgwgWi8mFxSLDMCmDxSLDpA8Ur1QY5QWF4kF0//qtT+ct8jPJFG2zzasSFCYxoRNyMiiCRBSgst8qKJ5AmS06bEQkpY9s8OO5o3gcg6zP9e6vqyvM+2sY57roQVaVGxYsFumwWGQYhmGYRorJ6xT05Rmy+lTeFZ0dOlRhmTbCRGZDGJiEE9VbFKYgorST4pkT7aOGoVKPLcVW3TGX1SUT1za2UdoZtgijhq3qwot1tlFEu40nk4LJS58swcjQYLHIMEzKYM8iwzAMwzDJhj2LdFgsMgyTMlgsMkzqsH1xBMVLlogXaqhs8HqSKJ5E3XqxsDwati/ukHlyg5RpskvmfQoLv54rv3UFLd/Gw+li019+zwXvmBTLMIWKy2wWy5V9TxSUNaS69oWxTlhXL4tFGiwWGYZJGSwWGSY90K3bSpYAoCILLVSJB1N7VBN6mXj0Y5fODmqayjaKHbJQRG8Z1FBYnWCyWddKCQtVlS3uoyrL77pQan5d+8XfNoJMPCamsWmyTRWaqmpHWFD7VHeOyQRk2NccFot0WCwyDJMyWCwyTHqhE4ayiaYoiEzeMj9iRLWvyZsYVHiJk1mqXdS6KfmpAkpXrmotm1+bKIKJUpbpeKlEQtBjbsobxvo8qgj3lit6/YJ4tk0PAygPTEx2q+oTt+ke2Jg8iYmcA7BYpMNikWGYlMFikWFSB3UCS32yr5rk+hVOMlEjhp6Kabr6qB6ZIPvYehBtJ+N+0AlFP8fMr7CQlaPbRye4wghDldVn2q4K37QRYabxqdvP5iGBW6bpQYEqPNUG3bGhlmnjzQ/jmLNYpMNikWEYhmEYKTaTR4oA8hvWKROGqr+22Dy0onqLVHlsBY9MQNh68Cjlqrw/OqEbloDV2UYR2pSHGKp0WR26YyF7eKITiDYPWMLoVxE/D3v81iP7LvvND4jrHywWGYZJGexZZBiGYRgm2bBnkQ6LRYZhUkpjvfgyTDrgd22UqixAvgZLlYdapvtd5lkUv6uwDTVV2ePH9qCEFZon82LpvJbU8FRbjyYlXRxH1PVwMtsoDyXDDGf1M0ZM++g8f6ZwXtP+ftZJUkKuKd7XoHUGgecfNFgsMgyTMtizyDCpQ5xwBw0rVIWbySbElImpSihSRYNsQioTQ7YTUOqk2rQ+jLK/DbqwUT/rNW3q8IufMacTTDrRaWNTkGOUyIcJmZmZUkEm2mwK89WFHft5MEEJrw7z+sJrFpMLi0WGYVIGi0WGSS0266V0Is00kdN5G3V1iWsVbb1LomC0ndzbeHIoZXv7W/ViEZV3j+L1UwlUFdRtYU36dWVQvZg6saNKU5WtOwayNlMeQMiwETcUD6OsfJPIVY09sWzbc1T8TfE4inXp6lNFEwSFxSKdzFQbILJ06VJceOGFKC4uRkZGBubPn2/cZ8mSJfjxj3+MSCSCbt26Yfbs2XXyzJgxA126dEF2djb69++PDz74IHzjGYaxwr1Y6z4MwyQGnSCTfbz72Xy8+9jaRylXzCsjXa4nosDw2iWzUSVSTMJIl0e1XRcaaLou6/pXV5+pTJktNm007S/7birHVHay0fU95XxRnec2qB4a2VwPqOe6+N0vlPkHz0kOkXZisaqqCr1798aMGTNI+Tds2IBBgwZh4MCBWLt2LUaPHo3rrrsOb7zxRizP3LlzMWbMGEyYMAEffvghevfujbKyMmzbti1RzWAYhgBfmBkmtVCFYhBBGKY3QGV7UKjeIepkVle2SZhQxA61Harrqa4uihikCkCqsNQJTVO5VAFsQleX6pjp2gTU9Yr5EWhh3QsT4Z1Tla/7nohrjB9YLNJJuzDU888/H+effz45/8yZM9G1a1c89NBDAIBjjz0Wy5cvx9SpU1FWVgYAePjhh3H99dfjmmuuie2zYMECPPXUU7jrrrvCbwTDMAzDMAzDMEw9J+08i7asWLECpaWlcWllZWVYsWIFAKCmpgarV6+Oy5OZmYnS0tJYHoZhUgM/xWOY1ON9eh+NRhGNRklP+cV9xTRVXWHZK5Yn85CZPFGmeoKi8tj58ZSZ2mfaZvK+UfKr0rzoPGaquij1U/rQplyZ7bo+0vWJqi/8QPU0UsaT7NhQ6rCxlXKu67yEuo94LQoT9izSSTvPoi0VFRUoLCyMSyssLERlZSX27duHnTt3ora2Vprn888/V5ZbXV2N6urq2O/KyspwDWcYxnjxbawXZoZJFuIEzD3ndOuEdKGm3nPWm2baLtYrK1/cRg37pGwLKm4dh/6GVNv9VeJOlVd1TFVpKmGhs4Uabiw77jIbdP1s02eUtnu3iWWIDx/E/H7vSaZxpKvX1De680B1TFTnIaUc3XGmjAHVeSw7Hqoyw8DP8Wysc5J6LxYTxZQpUzBx4sRUm8EwDRoWiwyTOlwBJps4UieE1ImcjSAR7TOlyco11UOZvPuZpFIm3qp0ikeJQhjXVNGeRF+LVSKXIiKD2Eltp278hu1FN40hyoMJ2QMa1XkrbrfpQ+q1Qyxf1ze69oXpGWWxSKfei8WioiJs3bo1Lm3r1q3Iz89HTk4OmjRpgiZNmkjzFBUVKcsdO3YsxowZE/tdWVmJTp06hWs8wzRyWCwyTOoxTdxM38O2wW/Z4oQ+iBfRNCkNMskMel2zESwUUSHDO2E3CWeb4yWWq7OH6jGjeqJU/WbjUZXVRRH6Mvy2z7uv6iGJqZ+p9vltm6lcoK4nkSomw4LFIp16v2axpKQEixYtiksrLy9HSUkJACArKwv9+vWLyxONRrFo0aJYHhmRSAT5+flxH4ZhwoXXBzAMwzAMk2wo8w+ekxwi7TyLe/fuxRdffBH7vWHDBqxduxatW7dG586dMXbsWGzevBnPPPMMAODGG2/E9OnTcccdd+Daa6/F22+/jRdeeAELFiyIlTFmzBgMHz4cJ554Ik4++WRMmzYNVVVVsbejMgzDMExjIyxvkQtlIqVak2S7TsubJ8gETufRpPaPjffOO+GkeLUSdRy85avCOZPh3ZHZo/utSvNCXQtJ2V+Wphu/NmsTdXlMaxH9IAtN1dlI6UdKe2zHUqLOC8Y/aScWV61ahYEDB8Z+u6Ggw4cPx+zZs7FlyxZs3Lgxtr1r165YsGABbrvtNjzyyCPo2LEjnnjiidi/zQCAyy67DN999x3Gjx+PiooK9OnTBwsXLqzz0huGYZILh6EyTGqhhuGJ2Ia4ydZP+ZnUqya84rVEFjZomiBTJ/JiWdQ1ZLK0sAWan2NJFfDidm+dOoEjOwZ+BIFf4Rdmn1KOowrdi11MeVX5vPWL54bsHLMNh6aKRN0aSJXNfghTJHIYKp20E4sDBgzQDobZs2dL91mzZo223FGjRmHUqFFBzWMYJkRYLDJM+iATYqZJYBBx4tczaPIsqtaXefdR/RXzmdpAsdOUptoe5poxyktTKPbpPH06YWFaS0cVprrtYdwvdGNHlV+0z3TMqGNNJ7pUoltMVz2MCEOs2YxLndA1pSXKy81ikU7aiUWGYRoPLBYZJrWIk2OdEKO+gIIy4fbzAg7Z5Nf73eRZ9Ioa1aQ30WGfYWMbHigTNrLtlAm6rN9Uwkbn8bKxV5duEp9+vehhETQcUycAZeetybPoLUNVv842GbJjrUL1kEeWpho3QWCxSIfFIsMwKYPFIsOkDplQNIlE93cQz4TJM+jdZkqT7W8Sijrb/OCdxFM8cypPUCpQiUebMFQ/nkWbMNRU9Y0IdZyqtvtpB+U4ePuT6lnU1UH1QovfZdh631WCMWg0gqpuFos0WCxaMmXKFEQikdhv9wmleEK6n8zMzDo3Yt0NT/a0LRqNSv+6uHW4nyZNmsT99l48RHvFv7L9vPaJFwnZxVx3QdK1W2yHd7usDFU6gFgfuZ9oNKqsW5Ymq0c3sfLaIfaL7Om36dhEo9E6bfAeI7evxL9eu6hjTVa3t0+9eb1tqa6ulpZtA4tFhmEYhmGSDYtFOiwWGYZhGKaRI3sgBJg9gaqwQx0yT6Uun1iuzA4/Xh+/UCaMVA8I5cGq7EGt6nip6qB4ME1hg6Y6KNtNY0dVJiWcMWiYpWib7lww2U0NvwxzjJo87zIPr6wMylgJ2j7duUt5iM8kFxaLDMOkDPYsMkxqUUUOeLfrBE2Qc9RvGX7rDGOyaSPSZHWbJr2yaBVTeTb168rUEaYY1wkV1W+d6LCxg9L3tg9HqPWrxGfQcUkVsTpbbOsLox7ZuaQT9mHPB9izSIfFIsMwKYPFIsOkDplQ9OtNEfcxbbP1rngn1UGvC36FRxCRSvHo6GwLC2o9bl9QvExB7DBt09kr2pho2xJ13HTjzuQVtWm77NyWbaO2RbW/rk7ZNpNn0Suq/T6sUdXPYpEGi0WGYVIGi0WGST2689CULvMG6SalQfDjRUtEHbIJq84DSPEeqbxoibgGqkJaZd91oZ2inTZC2+Sx9n5XjbFECEVvfX7CManhsu7vRD8A0ZGIvqOGAVO8ibLtYT60YLFIh8UiwzAppbFefJnUs2HDBixbtgxff/01fvjhB7Rr1w59+/ZFSUkJsrOzU20ewzAMk0B4/kHDSixGo1G888470ptraWkpOnXqlCg7GYZpgLBnkUkFc+bMwSOPPIJVq1ahsLAQxcXFyMnJwffff4///ve/yM7Oxi9+8QvceeedOPLII1NtbkIxrVlUoQonlXmMRA+K+wIQGy9eKtZ1qWwRv7u//YTvmdJ1XkaVPZR1dSrvoglZnab1mCq7bT1GOo+orB5ZHbLxRDkeQdcWqvot3ca37Rg2eQh11xZT+KlYH69ZTB2ZlEz79u3D5MmT0alTJ1xwwQV4/fXXsWvXLjRp0gRffPEFJkyYgK5du+KCCy7A+++/n2ibGYZhGMYXffv2xaOPPoqrr74aX3/9NbZs2YLVq1dj+fLl+PTTT1FZWYlXXnkF0WgUJ554IubNm5dqk5OCn0kT9ePNL3434QpL3TbKR1WWbq2Yrh2qbUHsFPPqMPWlKt1WlFCOmSgYZH0jy6uqxwaKOFXZaSpXdVxMx1Cskzp2dP2maq8fG20eVqgQbTS1Udc+yvWgsYq0dIHkWTzmmGNQUlKCv/zlLzjnnHPQrFmzOnm+/vprPPvss7j88stxzz334Prrrw/dWIZhGhbsWWSSze9//3uUlZUpt0ciEQwYMAADBgzAb3/7W3z11VfJMy7JUAWAiE5gqTwAJu+TDTbr/7y2UQjiKaHaRBVxNuvZRG8VVWyq0kzfZd5jW2ReP5k3TzeuKGXbeO9sj4NqG8WTZrLD9lyxGfdheeoooo96j6ecF37PP1Xd7FmkQfIsvvnmm3jhhRdwwQUXSIUiABx55JEYO3Ys1q9fj7POOitUIxmGaZjYPH2ksHTpUlx44YUoLi5GRkYG5s+fb9ynuroa99xzD4488khEIhF06dIFTz31lM8WMemOTiiKtGnTBv369UugNemBn6f8FA+JLL9Yn4jJq6aazFO8JjrPj8pTIuZV7aMqR+XNpHo+dVDspl5TVe0V26cr1/Yjq9+0XdcHpv1s7ysU76Iqr8w2XZqsXZT2ees2tUHnldTtq0J13aC0Wze2dHWESRjj1kRDmZOQPIvHHnssucBmzZrh6KOP9m0QwzCNB9PF1/bCXFVVhd69e+Paa6/FxRdfTNrn0ksvxdatW/Hkk0+iW7du2LJlC6LRqFW9TP1m27Zt2LZtW53jfsIJJ6TIovTEPR+pgkaWPyPD/BZMmzqo+4i22IgR8btqX107/XqI3HJsroWiWJX9lnk6VRPzRE7YKXZ5t7vfZXZTxIfJBu9f2TYVpvGkE4SqusTtpvGk8/jroHjqqQ8ZbPs9UeOJWnei7W0ocxJfb0Pdv38//u///k96cx08eHAohjEM0/AJWyyef/75OP/888n5Fy5ciHfeeQdffvklWrduDQDo0qWLVZ1M/WX16tUYPnw4PvvsszphkhkZGaitrU2xhQzDMEwiSIZYbChzEmuxuHDhQgwbNgzbt2+vs41vrgzD2BC2WLTlH//4B0488UQ88MAD+Nvf/oYWLVpg8ODBuP/++5GTk5PQupnUc+211+KYY47Bk08+icLCwpQ+5U4lOq+NmM8PoocoDC+iuG+QMkyeM1W4nWgHxWsq8/Tp6pOVY7JRVwfVQxT2dpkt4v4mz7DKoyjmUx1PW48h5diIx13nadMdV1UZFK+8CdmDsCBliHa76X7L1e3n1ztPIRli0ZZ0nZNYi8Wbb74ZQ4cOxfjx41FYWJgImxiGaSRQxWJlZWVceiQSQSQSCVz/l19+ieXLlyM7Oxsvv/wytm/fjl/96lfYsWMHnn766cDlM+nNl19+if/93/9Ft27dUm1Kygn6wgvq2ifqhE+cnNpO6l2o4X+UNO/1SifOZDbZTHqDTu5N4sU2jJi6jTLpN4k3bx7Vy028v1VC3u9YNo1TleCkCFfRLvEhjaxvTKLfRkzqHmjI9tc9FJHZpNpHtp+4Tdw3zAdKKoKIxcY2JyG94MbL1q1bMWbMGBaKDMMkjU6dOqGgoCD2mTJlSijlRqNRZGRkYM6cOTj55JNxwQUX4OGHH8Zf//pX7Nu3L5Q6mPTl7LPPxr///e9Um5GWyF7mofvoyvBTh00ZQRAFhvfjpmVmZiIzM7PONlkZVKj9SBHLunZRP0Ha4rVTVXbQcm3bZIO371UCiTrmde1QjRt3jKnGoq4MW2zOJVWb/Z6P1HM9EcIwbBrbnMTas/izn/0MS5Ys4ZfYMAwTGKpncdOmTcjPz4+lh/EEDwA6dOiAI444AgUFBbG0Y489Fo7j4JtvvkH37t1DqYdJT5544gkMHz4cH3/8MY4//vg6b/tu6GvwqRNPXfheUM+fLo/KC0IVUDqvjmqbLI9uP6/9VK+dyaMWNjovqOjFVKETUzZ2q+rxcyzF45PI/rPxKIr7yr5T6xO9j+J22Tbvbxm6sWo653RQPJcmW236KChBPIuNbU5iLRanT5+OoUOHYtmyZejVq1edm+stt9wSmnEMwzRsqGIxPz8/7sIcFqeddhrmzZuHvXv3Ijc3FwDwn//8B5mZmejYsWPo9THpxYoVK/Duu+/i9ddfr7MtI6PxrcGXTUzF7ZQ0Vdm222SeDoogM4kHlbdG5smR5VdhCtGj2GyqQ1aPmCbb5i1bZ6csrFCV5h0rtg8eVH9VaWL9qraq2m47dsV2Ux8EyGyU/bZBJq5Uwku1ry7ddN6L6SrvK2Xc6n7rxloiCCIWG9ucxFosPvfcc3jzzTeRnZ2NJUuW1DkZWCwyDEOFKhap7N27F1988UXs94YNG7B27Vq0bt0anTt3xtixY7F582Y888wzAICf//znuP/++3HNNddg4sSJ2L59O26//XZce+21/IKbRsDNN9+MK6+8Evfeey8vrWAYhmlEBBGLVBrKnMRaLN5zzz2YOHEi7rrrLmRmWi95ZBiGiRG2WFy1ahUGDhwY+z1mzBgAwPDhwzF79mxs2bIFGzdujG3Pzc1FeXk5br75Zpx44olo06YNLr30UkyePNmyJUx9ZMeOHbjtttsarVCkTpZMHgEbvJ4enUdLt7/JmyRLU3nudB4qqvdKtE+Wjxp6qvMYquox2UTZX+V5U9UfRhigbB2czrOlO0YUmyjr7mTHjxKqS/FO23rkdB5Fiu0qD7TpuwxT6LLO62lTLnWspToMlUpDmZNYi8WamhpcdtllLBQZhglM2GJxwIAB2hvU7Nmz66T16NED5eXlVvUwDYOLL74Yixcv5jX4GkwTSuqaQt2LLKhiVDdptBGQOrGom9yL+/kJMw1DaFOumToBYhOqSUHVh976VMefKhZlIZ2met00PyHQNvgVHH5DeWVQw0BV/UFdZ2i73WY/lcBNFMkQiw1lTmItFocPH465c+fi7rvvToQ9DMMwDJMUjjnmGIwdOxbLly9vlGvw3cmS7YSZ6pHQeavC8FbqxILut87LSBWL3t9BvYmmdFtkopZil2mbqg5dum58UcWiSRzr2huWGKQIdZ1d3nTZdx22dbv7qDyjNue8ynNIXVto47GkYHoYwiQGa7FYW1uLBx54AG+88QZOOOGEOjfXhx9+ODTjGIZp2ITtWWQYG5544gnk5ubinXfewTvvvBO3LSOj8azBp3pfZBN620mnjTeJAsVbKOanikVZGSrvVVjtkJUnEwsmDwxVlHgn/zpPsMobaapb5kFUeRZVQtGtX+VdtBGoqvap6rUpU4dsbHnrtzm2IqZQVpPQo9YB6AWn7DywCUW1GdNhkAzPYkPBOpb0o48+Qt++fZGZmYmPP/4Ya9asifswDMNQEW/4sk99IBqN4qmnnkq1GYwlGzZsUH6+/PLL0OqZMWMGunTpguzsbPTv3x8ffPCBNv+8efPQo0cPZGdno1evXnjttdfitjuOg/Hjx6NDhw7IyclBaWkp1q9fH5q9DMMwDR3K/IPnJIewFouLFy/WfhiGYag0lAtzZmYm/vznP6faDCYktmzZggceeCCUsubOnYsxY8ZgwoQJ+PDDD9G7d2+UlZVh27Zt0vzvvfcerrjiCowYMQJr1qzBkCFDMGTIEHz88cexPA888AAeffRRzJw5EytXrkSLFi1QVlaG/fv3W9lm8jiZvI26kFLVx5uHUjbFZjF0VOVt0nkRZfvKtpvKpNpKQdUeG4+sbfSGytunWmPoF125pnpU7aHcM2RlB7nvmI6xaYzo8pjGpWp/cV9V3bL9dOe1u937V7Wf7rog7m9zbVC1xQ8NWSyGPScJ7S01X3/9NUaNGhVWcQzDNAIayoUZAE488URMnz491WYwFlx77bXSz5VXXon7778/lDoefvhhXH/99bjmmmtw3HHHYebMmWjevLnyqe8jjzyC8847D7fffjuOPfZY3H///fjxj38cG1uO42DatGkYN24cLrroIpxwwgl45pln8O2332L+/Pmh2KyCMon05vNbRxioriMqQUdJp1ybVKKUej2zzaMT1X5s95Yr++79rRsLujGgExyy36a+pggyWfmmvrY5ZjZ26ESgbtzJygwy1ij4DVk1hTV786WKhiwWgXDnJNZrFgcOHCjtrC1btmDLli08WWIYhozp4lufLszffPMNXn/9dfzxj3/Eqaeeil69eqFXr174yU9+kmrTGAU7d+6M+11bW4svv/wSn332GR577LHA5dfU1GD16tUYO3ZsLC0zMxOlpaVYsWKFdJ8VK1bEXq/uUlZWFhOCGzZsQEVFBUpLS2PbCwoK0L9/f6xYsQKXX365lY0ZGfI1SO65Z5rw69KSORFUXUtsvUQqD4+YZmqb2J/UbZR8ujWE1PaK7TDZJFu/5y2DWq8oFKmeSp1IotRJGa/esoN6t2xEv3j+yfqXaodOECf6fLTpY92Y0Z3HYc4J/Ii/xjonsRaLffr0ifvt3ly/+OIL6StgGYZhGgOvvPIKgEP/hPeTTz7BRx99hLfeeovFYhrz8ssvS9N/+9vfYv78+fjlL38ZqPzt27ejtra2zv9xLCwsxOeffy7dp6KiQpq/oqIitt1NU+URqa6uRnV1dex3ZWWlXUMYhmGYekWYcxLrMNSpU6fGfR599FG8+uqrePzxx0PzKvLLABim8VBfwz1KS0vx+uuv10lv3rw5+vfvj+uuuw7Tpk1LvmFMYK644gosWbIk1WaExpQpU1BQUBD7dOrUKbbNtAZJhewc1YU+Jhrq+kmbMnRr9yj2+NlGyafyvATxtlG8V7owSSri/tQxEsRrbet1Dnp8qGXo1vCJ2ynl+AkJDhPKNcGbrsK0VjLMtjSkENREzklCW7N49tlnY+3atYHLSeeXATAMEy71+eK8atUqdOnSBcChNdsuTzzxBK666qoUWcWEwb///W/07ds3cDlt27ZFkyZNsHXr1rj0rVu3oqioSLpPUVGRNr/716bMsWPHYvfu3bHPpk2bfLWHYRimodDQ1iwmck4Smlh8++23MXDgwMDlNKSXATAMo6c+X5hramqQl5cHAOjVq1fsXy2ceuqpWLRoUSpNY4iMGTOmzucXv/gFrrrqKnTq1Cku3Q9ZWVno169f3HiIRqNYtGgRSkpKpPuUlJTUGT/l5eWx/F27dkVRUVFcnsrKSqxcuVJZZiQSQX5+ftzHD7rzUuZR9FtHGKg8irqXtZjSKV5KWX023h3bPKq+9mOHbM2q+N37WzcWdGNAtf5M9dvU11QvqWqdpwo/nj2KHWJ+lQdbZofOw2o71ij4OR9lx1/2PdX3+IYmFhM5J7Fes3jxxRfXSdu6dStWrlyJgQMHxm1/6aWXrMpOp5cB8BoPhkk8potvOl+Yu3fvjg8++AB5eXmoqqrC7t27AQB5eXn4/vvvU2wdQ0H1v4FPOukkbNu2LRbREmQcjhkzBsOHD8eJJ56Ik08+GdOmTUNVVRWuueYaAMCwYcNwxBFHYMqUKQCAW2+9FWeeeSYeeughDBo0CM8//zxWrVqFWbNmxWwZPXo0Jk+ejO7du6Nr16649957UVxcjCFDhljZZgoz1eXxe96KL/Hws79s0i8rz5vPWy/FDjdd3C4rk/pblaZC1R6V2KKUQa1D7Gc/devw9q/XFpOAVOVz0yn1estQCStq+3Tj0WuTql9ldoviMcg4ozwo8WJqt07om46JSTxSbRDL9Ysf8ddY5yTWYrGgoECadswxxwQyBEiflwEAh9Z4TJw40boNDMPQqc9i8eabb8b111+PLl264IQTTsCTTz6J6dOnY9myZXWuN0x6koz/DXzZZZfhu+++w/jx41FRUYE+ffpg4cKFsTGyceNGZGYeDvI59dRT8eyzz2LcuHG4++670b17d8yfPx/HH398LM8dd9yBqqoq3HDDDdi1axdOP/10LFy4ENnZ2b5spKxXs0EmNHUTaooNKryTforAtalHJhR168KCoLPf5MlVlefmU3mfdHl1E3vRy6LzvNhc33XCXdcmShm6fLJxSBFWNphsl9VHEYtUj6OqHiomz6BO/OnKs9lP9ZDALw1NLCZyTmItFp9++ulAFdYXxo4dG+exrKysjHspAMMwwanPYvG6665D69at8Z///AfXX389Lr/8chx11FHYsmUL/89ZJo5Ro0Ypx4TsRTpDhw7F0KFDleVlZGRg0qRJmDRpUiC7/IocqvdBrEvcRvXYqRCFIkXY6WwOI79q8i7L45bjTQ/jmicTnhS7RHtkaaZrts1DgLDa6i2P2k6/dVCEvDcfxesoK1cn6iliUVWmKq8KlfiXPRyw8Tr7PfZhHt+GJhYTOSchicWw1byKRL8MoEOHDnF5xH8D4iUSiSASifhpBsMwjQRv2P3rr7+Ol19+GTU1Ndb/645JHueddx7uu+8+nHLKKdp8e/bswWOPPYbc3FyMHDkySdYxDMMwjD8SNSchicWePXti/PjxuPjii5GVlaXMt379ejz88MM48sgjcdddd1kb430ZgLv2wn0ZgEoVuy8DGD16dCxN9TIAVxy6LwO46aabrG1kGCY86rNnUaRp06ZabxCTHgwdOhSXXHIJCgoKcOGFF+LEE09EcXExsrOzsXPnTnz66adYvnw5XnvtNQwaNAgPPvhgqk1OKbJwPV14qbivCGW9mc15L/MqqmwJGoJHCYPU2RkU6loumX2yUFQxXVW+KQzVpm5qO3TYeJATOS68ddiOWcp3G8+i+F32W5UG2K9VlHkVxTyUfvGzXjEsGppnUSTMOQlJLP7pT3/CnXfeiV/96lc455xzlDfXTz75BKNGjQokwtL5ZQAMw4RLQxKLTP1gxIgRuPLKKzFv3jzMnTsXs2bNir0IICMjA8cddxzKysrwr3/9C8cee2yKrU0ssjBUXRiiKrSOUo+3LFmooo0Q0pWvq0OFTX5d+CkllFBlu2qCrRNw1MmuSnSI5cn6UTaZD+u6rBprVCGrW99Iqc/UDzbrFlXnEUWI2ohAyrFUlSliI+rE/VQhp7ZrF1X7erERvbb1NWSxGCYksXj22Wdj1apVWL58OebOnYs5c+bg66+/xr59+9C2bVv07dsXw4YNwy9+8Qu0atUqkEH14WUADMOEA4tFJhVEIhFceeWVuPLKKwEAu3fvxr59+9CmTRs0a9YsxdalDtVET7fekDop1uVTCTDZOkRKnSbviWzdWFAPk+3aQNn+VFFuWldIETUqO01r0HRpFLzCXCZSVGmy30FFvu6Y2whF3f6U84O6FlHlEfZjryxiQEwX84t5ZdtNdXptM41jk01BYbFIx+oFN6effjpOP/30RNkSI11fBsAwTLiwWGTSgYKCAumbvhs61AmYbMJLCR+zEWJ+JqGUEESVwFV59MTJud/wQh0672Qirnkyb5QfcaErn2q3rcdWVYdqbCWq/2RQvbpuXqoX0EYI+hG1YQg/P+WqyvdTH3sWk4v121AZhmHCgsUiw6QnQUJNxTL8TLapnpmwPII6z5PKAyOWYYONuPIzqTWFLpqEi5/6bDx1NuX6KcPW2+mWbxvaSkXnnaeKd91xo2Lz8MXvAxw/28TtifAkyupjsUgj05yFYRiGYRiGYRiGaWywZ5FhmJTBnkWGSQ+Cnms6r5JpDRplH93LLygeLdFrobKJsi5TVp9praJsvaQqv9/1gLIyXW+UzVpF7766fhf3pxzXIHmoobuq9XgUxDWVsu2m+lX2qsaNbuzY9oUOSpio3xDSIPdy3dpFm1B2W9izSIfFIsMwKYPFIsOkHqo4MYWEqhDD52Thbn4ngqbJPdU+VdtE4WFaV6ez0f0ubqNCCdsVf1PSvX1oKp8qjGwx7a8LR6UIfBU2Dzl0eUz9olunKtoZdihv0IcPqv10/R6kXHF7ogQji0U6HIbKMEzKcC/Wug/DJIrhw4dj6dKlqTaj3mC7Zoq6FguoO3Hzcz2gXEdU5Xg9cCrPnGw7tZ021zoxzfY6KPMm6jxYsnwq8aLqj6AflV2ydujslv2movOS2d6nqGNEN7Z0Y840bmzuoZTxqEI3ViiE7S20gXJO8pzkENZi8ayzzsLEiRPrpO/cuRNnnXVWKEYxDNM44Aszk0p2796N0tJSdO/eHb/73e+wefPmVJuUEmQTVFN+3YRfN+kV6xPxE21AuWb4EYmyvKp9VOVQhQel7TrbVXabhK6pvTqhFoZAFOs3bdf1gWk/WxGpOj4UgS+zTZcmaxelfd66TW1QjUNT+1WorhuUduvGlq6OMGGxSMdaLC5ZsgTTp0/HkCFDUFVVFUuvqanBO++8E6pxDMM0bPjCzKSS+fPnY/Pmzbjpppswd+5cdOnSBeeffz5efPFFHDhwINXmJRzTJI0yyRf3Ue0r5gkCdZLr5zpCmeD6EUN+xKyN7VQxLuZX7af7rhOWtgJRZ7eYTh2Hop1+BKIpzbQtjLFje67YjPuw7q2m88VN1+0vlqU7xtTjT4HFIh1fYahvvfUWKioqcMopp+Crr74K2SSGYRiGSQ7t2rXDmDFj8O9//xsrV65Et27dcNVVV6G4uBi33XYb1q9fn2oTGYZhGCZl+BKLHTp0wDvvvINevXrhpJNOwpIlS0I2i2GYxgA/xWPShS1btqC8vBzl5eVo0qQJLrjgAnz00Uc47rjjMHXq1FSbl3Bsn9T78ZKE5ekRt1GvIyqvEbV9una724LYKebVYepLVbrtNZVyzGy8Q6Yy/HjTdPbo7DSVawpBpdyvbMYOxXOq83oG9Y759cC7v3Vt1LWP6ikOG/Ys0rF+G6rbUZFIBM8++ywmT56M8847D3feeWfoxqUjv//971NtAsM0GJIVKsMwMg4cOIB//OMfePrpp/Hmm2/ihBNOwOjRo/Hzn/8c+fn5AICXX34Z1157LW677bYUW5sY3ElYRob5TYMqUWKTx1ufjX1BCeNaIvaVt0wbO1Wiwk33lqWzW7WPrk6x/8V2mNCNF51IE/uKMt5EVDab+shko7i/aozaCFNZPtmxSsfxTa3PK/Jk54RbpuxYe9OoYzis8FOvDbb91ljnJNZiUTxQ48aNw7HHHovhw4eHZhTDMI2HxnrxZVJPhw4dEI1GccUVV+CDDz5Anz596uQZOHAgWrZsmXTbkolOnKgmtrpJWyK8AN5yTdcMnbeQWoeuXBux4/X6mOzzlp1IZBN11XdqX1IfNJiEgWibrK9NtgVFJRIpolQ3LnR9RvUkqvAz5qkPJWzQiUIxH9XD6dfrTIHnHzSsxeKGDRvQrl27uLRLLrkEPXr0wKpVq0IzjGGYhg97FplUMnXqVAwdOhTZ2dnKPC1btsSGDRuSaFXycJ/Uqybl3nzev+J3G2TnNGWia6rb5lphaqcKv0KOIhSDCFxbW1Tt0HnSgnjVVHaoyrPxeibiHkHxKHq32Xh4ZZgEnc05E0Y9prJtogP8eI8p16Awzgv2LNKxFotHHnmkNL1nz57o2bNnYIMYhmk8sFhkUslVV12VahMYhmGYFMBikY61WGQYhgkLFosMk1pM4XMmj14QL5/f89t23aO3vqAeCd0aLFPdsu+msD2Vx8rvJNcm/I/aJr9rD6np1PJswoJl+Sntp67Jk+HHm03Br5cxSH/brNW0KUNnF69ZTB0sFhmGYRimkUMJQ1X9VuUPIkpk9qjsUIVW6oRBEChilToRlQkdMU0naigikrpe0iYvdW0a1S4dVGFDCeUV2yeOL10opu1DEOraxbBQjQvKd1m7df2pa6ONcJY9HLEdW0ziYbHIMEzKYM8iw6QOrxgxCTMxzVYYyLZR1oKZ0lxbxImyKCBN6zJ15ZugrvWS5Un1JNivl8/bV6a+lR1zal+phGIq+k31QIJyLth4IGX7m7bLxBv1IY8fj7JsfakMU9/YCMUw1kyLZbNnkQaLRYZhUgaLRYZhGIZhkg2LRTosFhmGSRksFhkmtZjehur3raFe/IRG2oTDqjwUunRvGTaeEhlB1n8FhbqmkbrO0+a4yLxmFE8lNcST6q3007ZUENSr6PUi6sJpvXWJ6/xkfaU6brrjTwlZp1wnTMdRHAO8ZjE1sFhkGCZlsFhkmPTBJgxVlma7psvv+S2bGJvCUL11U0IbTevfKLbL6jEJS9v1oVTCElIyceonDDVonaryg6J6yKDLT0nzIrbHNtRU14fUMFS/Dzj8htWqHmZQzpFErvFksUiDxSLDMCmDxSLDpJawBJttPbrfurJVXhKTeLHxfOnsoHpgVGXp2hnGpNiPCPDTJpm3R7duTRQHFBtVos3W6xsUmf1+6rARoTaiWremT+dZpIhVnedatd6Q0h9BxWoYsFikw2KRYRiGYRohfiaJOigTQKow0XktTJ5FG3QeRJ0NNvWJYkPcJvseBBtvr06U+BkDQVGFR6qEiYyg9ur2F+u2DY+kPBTReRKDQPUsms5RWwEf9MGS3zxMeLBYZBgmZbBnkWEYhmGYZMOeRTosFhmGSRksFhkm9ehCMFXbwvY6+V0LJdrlLU/34g5KiGkQj6XKNpVnSvwuI4wwTGobTSGTNp4+Vf2yMinl+g3fpXqqbfG7v+ne5+feKI6nIG3zejbD9C5T1rBS2heGHSwWabBYZBgmZbBYZJjUITv/xNC3oBNx2XbqeS0LfVOFw8leihEkzNavGKauLxN/m0IfvXls6zD1o42dibom+3lRDGUfv+2U5fMjLPyImzDui6aHEKpz37aNsvGrW+cofjelqcoOYxyyWKTDYpFhmJTBYpFhUotp3RJ1fZhpnZPNOiidPVTPk2ktoqx8k7eRIuhMUNYsqibLoveVUr4sLchaTBtRayrP5kGEX28spa8oHscgfWba31SG7sGFn7WCtiKRMn68nnyTYPfWJ9adSO++CItFOiwWGYZJGSwWGSb1UMK/RHSevkSf06qQVVWop2w/aj1hhCjKytEJFdVk29Q+1f4yZF5YWyFosldlm05sqPaR1UMJs7TtK5tQVZl4DyNM0o9gd/tC7CvVsQnr3qprt7fvVR5Ek1gUjx+HoaaGzFQbwDAMExZLly7FhRdeiOLiYmRkZGD+/Pnkfd999100bdoUffr0SZh9DMMwDMM0DhrKnITFIsMwKcP7ZFH1saGqqgq9e/fGjBkzrPbbtWsXhg0bhrPPPttqP4ap78ie8vv5eMtQ1ZFI24NC9caZ2k8pW+b18XqGVF4iP+2Qlaeqz5suK1e1v64+Slm6Nop2UdpCKde2LtUx07UJkIdc2t7nKB5UCmF7FXXl674n4hrj116/dlBpKHOStBKLL730Es4991y0adMGGRkZWLt2LWm/efPmoUePHsjOzkavXr3w2muvxW13HAfjx49Hhw4dkJOTg9LSUqxfvz4BLWAYxoawL8znn38+Jk+ejJ/+9KdW+9144434+c9/jpKSEqv9GKY+I04eqedisiZ51HLFvDLCmnAHRRYmqBNqOmGpK9sk1EzCiio6TTbp7KGUKbPFpo2m/WXfTeX4FfKJQtf3lPMlyD3XW4/3r64O7zaVraaHMWEIxmSIxYYyJ0krsVhVVYXTTz8df/jDH8j7vPfee7jiiiswYsQIrFmzBkOGDMGQIUPw8ccfx/I88MADePTRRzFz5kysXLkSLVq0QFlZGfbv35+IZjAMQyTsC7Mfnn76aXz55ZeYMGFCwutimHTDRszJJntUMSkrw8YuVVnevzJkokDlTaN4xShtlNWvEh3efDKbxfwmj5pOdKns023Tibwg+BGPJpupAlrX76qydMeMYrfNvc00HnXpOiiC0ZtuQrWfzTWB0h9+bKOQDLHoh3Sck6TVC26uuuoqAMBXX31F3ueRRx7Beeedh9tvvx0AcP/996O8vBzTp0/HzJkz4TgOpk2bhnHjxuGiiy4CADzzzDMoLCzE/Pnzcfnll4feDoZhaFBuEgBQWVkZlx6JRBCJRALXv379etx1111YtmwZmjZNq8shwyScMCdguqf+srKpk1F3AizL7zj0NyW6eWUiwLbtNnVS0nT729imEyoqbNsetidNd3xVyI6jroyw+pFaNrU+VTt0RKNRpR1i2bL6vN9l5z+1n0Tb3f1UbQ/r+uJnvOjK9HvuN7Y5SVp5Fv2wYsUKlJaWxqWVlZVhxYoVAIANGzagoqIiLk9BQQH69+8fy8MwTOqgPMHr1KkTCgoKYp8pU6YErre2thY///nPMXHiRBxzzDGBy2OY+kiYT8opXkTbCZrJc2EzyVV5a6LRKNm7aGt7WFBEBVWguH9lfWfyYunKDeKVUXn9REEi845R22yqOyz8jhHdGDSNU1MdYZ1DsnJND4pMD49s+j9s755fr2Jjm5Okj2z1SUVFBQoLC+PSCgsLUVFREdvupqnyyKiurkZ1dXXst/gUgWGY5LFp0ybk5+fHfofxBG/Pnj1YtWoV1qxZg1GjRgFA7GbctGlTvPnmmzjrrLMC18MwDMMwTMOhsc1JUiYW58yZg1/+8pex36+//jrOOOOMVJlThylTpmDixImpNoNhGjTUMNT8/Py4C3MY5Ofn46OPPopLe+yxx/D222/jxRdfRNeuXUOtj2HqIzYeFzc0za+nQlUepSxvvbZeIpPHzGuDqX0yT6QuXI/aPtEDpcpvU473t423J6wQQLceEVl/edPF4+AXse8px0LnRZOlmcaIbi2kbD+/YZPud5NnWRyvfurxIgv/1rUjjONKJUgYamObk6RMLA4ePBj9+/eP/T7iiCN8lVNUVIStW7fGpW3duhVFRUWx7W5ahw4d4vLo/nfJ2LFjMWbMmNjvyspKdOrUyZeNDMPIoYpFKnv37sUXX3wR+71hwwasXbsWrVu3RufOnTF27Fhs3rwZzzzzDDIzM3H88cfH7d++fXtkZ2fXSWeYhogpLFD2XQdlvZJtOKVJJMlEokqI6OpWrYGzXYMlq1s2ARfLToYwo/722ifDz7o0P+s3VXaK/WY7vkz1mY4Fte02Y0T8ret7XZmy37LQXV34qJ/+1B0b2+uH6mGBrL4gBBGLVBrKnCRlYjEvLw95eXmByykpKcGiRYswevToWFp5eXnsdbNdu3ZFUVERFi1aFBOHlZWVWLlyJW666SZluWEtVmUYRk3YYnHVqlUYOHBg7Lf7wGf48OGYPXs2tmzZgo0bN/ozlmEaATJPh7hNtV02KZXlsXk5iW5fk0ikTFR1k2/q5JUqEHXYXOv85KWICcDs1VPVT/Vo6vrIVhjIhKJNvwcZi5SyZb9V55XJ20i1j/JggPKwgGK3qnyZB1gmjGUPY2TncqI8jckQiw1lTpJWaxa///57bNy4Ed9++y0AYN26dQAOeQddD+GwYcNwxBFHxBaT3nrrrTjzzDPx0EMPYdCgQXj++eexatUqzJo1C8ChAzt69GhMnjwZ3bt3R9euXXHvvfeiuLgYQ4YMSX4jmeDkZQN7+N+eNATCFosDBgzQThRmz56t3f++++7DfffdZ1UnwzQEKF63MF8CEgQbkSib7Oo8OjKvCPU6JBM/OjtUHsegUIWh7reNXbryxbKoAlG3XeWV1YkPm/JN9pvKMPUHpR7VOafrP5UdsgcGiRJg3rL9PKjx88DHL8kQiw1lTpJWb0P9xz/+gb59+2LQoEEAgMsvvxx9+/bFzJkzY3k2btyILVu2xH6feuqpePbZZzFr1iz07t0bL774IubPnx/nsr3jjjtw880344YbbsBJJ52EvXv3YuHChcjOzk5e45hwaN0CKD0WKC5ItSVMCHjDYVQfhmEYhmGYMKHMP3hOcoi08ixeffXVuPrqq7V5lixZUidt6NChGDp0qHKfjIwMTJo0CZMmTQpoIZNyjmoL5GYBR7UDvt2damuYgITtWWQYho4u1NR2zaIu9DRMVN46k0dL3FfMI4bL2XoVvXXI6pZBLZ/SNpsyEhnWp0oP2zskO/ZB+sTFFJZq62n2g3gOmsakytup8igm61x16zCFB5s8jGGMf5VtifYsNhTSSiwyjJZIU+DI1kAUhzyLuRFgb7VxN4ZhGEaOTahYGOu7TBNG00SW8iIaXYiiybawJ4O6eimTflU5qrBW2X5+hKKpv2xsF+2lijuqkDaF+nrTdGGkuuOv29/WZhtsXzDjJ/TU1GZKiHoY1wGZsExkGCpDh8UiU3/o3BqINAOqqoHmWUDXtsBHm1NtFRMA9iwyTPqgEoZ+J2uJXGvkli+bTMo8MLa2UASnn+uTzeRXJ8hMk3RbMSeW69culZ3ebVQhYCvQdOXqRCLFblPdNnhFmEqQ+Tl3KA8GEuVVDONcl60T9itGKbBnkQ6LRab+cHQ7wHEOfaLRQ2Lx02+BWn7qVF9hscgwqcM7WfWm1UdUwoPqoaRca3QhcWGJMYrI04X1UUMUTS/aoUCty7U5rPpMopDyoEAnmmweNIRx7G08uGK6ew/V3Uvr433UNF44DDW5sFhk6gft84CWOUD1wUO/qw8CLbKAI1oBG79PrW2Mb1gsMkzqCDIBC+PcDNtrYAp11NXjVzy6eU1CwE/IpW7yLwvXo5QtE0lUG1X7i+VQUHmQZOjaSvFUqsJMTf1rShPtk32X5aWg845675smb2Ii7qFhhGvbPDCQ1cdiMbmk1dtQGUbJUW2BzEygNnrod9QBMnDI28jUW8SnorIPwzAMwzBMmFDmHzwnOQR7Fpn0J6cZ0LEVcKA2Pr2mFmj3/z2Ou/alxjYmEOxZZJjUUp/CToOGStqEkZquPRTvisxjp/IWqcozed6Chh4mcm2eDUE9TZSyTG2geAR1L2bxfrfxYtvYKYoWlYfRhjA8hYkmEdcp9izSYc8ik/50aQNkNQVqDsanH6gFmmYCXdqmxi6GYRgFL730Es4991y0adMGGRkZWLt2LWm/efPmoUePHsjOzkavXr3w2muvxW13HAfjx49Hhw4dkJOTg9LSUqxfvz4BLTiMaT2Un23idlNeUXCZ1nnJwvNkv2WTb5lwNNmm+4g2q/Lo8CNmVaJHVq9tSHLQyTtlf5N9ujaa0I0NnT2qY6vLQznOugcFJu+WbPzanE+y3zrbbMSsyk5KPUz6wGKRSW/cUNOo4kJWGwW6tjkkGpl6B4d8MA2VqqoqnH766fjDH/5A3ue9997DFVdcgREjRmDNmjUYMmQIhgwZgo8//jiW54EHHsCjjz6KmTNnYuXKlWjRogXKysqwf//+RDRDio3Xyo8Q8lOGrmyTMBC9NLq8rk1e2ygi0SQYKO2UtYWaV4fMVm+6yj6/x8Yk8Ewi24RNv9iIRN02ynE3CXTVQw7Vdz9tMbVThR9BbSLV93fK/IPnJIfgMFQmvelQAORlA/sPyLdXHzz0bzQ6twa+3J5c25jA8JNGpqFy1VVXAQC++uor8j6PPPIIzjvvPNx+++0AgPvvvx/l5eWYPn06Zs6cCcdxMG3aNIwbNw4XXXQRAOCZZ55BYWEh5s+fj8svv9zKRu+kzuZcM4VMBkUXDijb7g0D1OUJE299JkGp20+0jxISqNpPZ4/KBvG3zD5vebL+9CvmKaLRa4cMnVdbLM+Pd1b2WzbWZPbpxoUJiqdRTBP3U50TqvLdfbxlBfUg68qxLVsntP3aZXtdaKxzEnbHMOnNUe2AjAy1Z9FxDn34RTf1En6KxzCHWbFiBUpLS+PSysrKsGLFCgDAhg0bUFFREZenoKAA/fv3j+WRUV1djcrKyriPi07UUEPoxLKC4NfTo7puqCbWfq89qkmvLjxR1YdB+pTqHTWVp/PambxiNuPDlJ9Sl6wNFG+s96+YLrPT1A5Zmum4q/pId3ypY9TkGZeNZ7+i1c89mVoXpZ+o1yIK7Fmkw2KRSV9yI0BxQd21iiI1B4HWLYA2LZJjFxMafGFmmMNUVFSgsLAwLq2wsBAVFRWx7W6aKo+MKVOmoKCgIPbp1KlTyJYzDMPUL1gs0mGxyKQvXdoATZvUfQuqyMEo0CQT6Movuqlv8IWZaQjMmTMHubm5sc+yZctSbVIcY8eOxe7du2OfTZs2AbB7aYgIdR2WDlsPnm35qjq9dZs8NqpQQpuPbB9dmbZtUf3WlU3xhJnaa9Mv1Lw6u2U2q9qn6heb+4qfY+ZnbIi2UcaorG22mNqlwqZO05gz2WbrkbWBxSIdXrPIpCdNMg6FoEajtPwHa4EjWwMfbT60jpFhGCZJDB48GP3794/9PuKII3yVU1RUhK1bt8albd26FUVFRbHtblqHDh3i8vTp00dZbiQSQSQSUW53nPh/eg6kbm1OGCLRa7u7n7d9su+y9nvzUO2QCR5VPkodpuNgY5vOPtMk3q3HtZtan409Ktu8x8hrg6zvVNgKHJ1AMYmXMGxTCUJdyKks3WZM+A1VtcXPOBXPTya5sGeRSU/a5gGRpkBmJtAiAuRmA82axOdpmnno5TctIoc8kE2bAEX5qbGX8QU/xWMaAnl5eejWrVvsk5OT46uckpISLFq0KC6tvLwcJSUlAICuXbuiqKgoLk9lZSVWrlwZy2OLagJM8Q7JyvHuK8M7qdXlk9VN8XjorhkmD5PpemPrbTP1ie3k13Rd1Nmv8oCJbRG3y/LYjg2ZHaoybNJUbaP2i597DMXLRRknOpFsst1m3FLGhK6fVfvpvO+2bdTtJ+5vO950sGeRDnsWmfRk+15gxZdA5v8/MX/cGcgSxGJmBlB9APjX14dfgLNld3LtZAJhM7ljmPrE999/j40bN+Lbb78FAKxbtw7AIe+g6yEcNmwYjjjiCEyZMgUAcOutt+LMM8/EQw89hEGDBuH555/HqlWrMGvWLACHzofRo0dj8uTJ6N69O7p27Yp7770XxcXFGDJkSKj2Uz0jKu+PDp2XgJJuaxvFHje/ynslK9ePh8TGHoowlHlgTPXqRKON3bZeTZkNJqHlrUv221Y4h+2ppdiqqkNlv+gl9BP2aXtuyGyRleU9blS7bM4X27KD4Ef8NdY5CYtFJj2pjQLf7Dz8u4/mhQxf7wA4OqHe0lgvvkzD5h//+Aeuueaa2G/331pMmDAB9913HwBg48aNyMw8HOBz6qmn4tlnn8W4ceNw9913o3v37pg/fz6OP/74WJ477rgDVVVVuOGGG7Br1y6cfvrpWLhwIbKzs5PTMIZhmAYCzz9osFhkGCZlsGeRaahcffXVuPrqq7V5lixZUidt6NChGDp0qHKfjIwMTJo0CZMmTQpoIQ3TU37qOSoLndN5HHRpJs+MrdfShMzbpfOAmdJt02TpKs+arI9kyDxLKi+frB7bdXmqck3eTF3f2vSVLI+pr2TpMq+hmCZ6qHX1ej3Yfu93VK+guI3SLlkbZOVS1hSqytOdX4mcA7BnkQ6LRYZhUgaLRYZJHZTJkk04n9+Jl2mdkipdNUHW1UeZvKvyivVQbaaGGtoKb1n7TeGaKpGoa5Ouj7z1ytqrE6AmES6rX1aH6rv3t0kw6lCJVJmQNYVcykKddXVSha8Km4cFYnkqoU69ZqjOJdl29zc1vDiMuQGLRTosFhmGSRksFhkmPaFMwKn5bdBNYmXl23ogTBN9nTfFtL5P109+xLWftokTbZmANNUnS6cIHJmtprpNnkVKnWLdlPGqs8e03lC3ls/kPTMJb0p7VGkmqOeWTpjbYHr4YnqwkWhYLNJhscgwDMMwjRDbyZKt+JF5DmUTbIqHjuLx09mi2q4KxdOJRhU2E92wJp0mL44KUx5Tv4h1ittEG6nhplShYisgZXb4xWZs+KnPe14GEYqUcE/vd5UHUJZH5tXWlaHaR+W1NdFYRVuqYLHIMEzKYM8iw6QWqsfIm9d2mwxdeKJuu6puk4dC1T5TiKGqbJNNqjrE36pJt842VR02gtGPGFaVoUuneq/Cqlu1XZff5EX2lhH04YIuZFdlM+Xcko13mT06z7gOk9CT5VX1lapMHYnwOLJnkQ6LRYZhUgaLRYZhGIZhkg2LRTosFpl6ggM0awI0Ofya+UP/Z/Fg6kxiAsNikWHSA4onJoy1SzIo3g/vNpUXJ+j1QmWnylMms8O0zpDqVdJhG64XRuilqQ7VtVyWlkh7bPvRplzZ+k9d/5rGkjeNMl78Ygo/FX/Log1UHm8bW/20xXbdrg0sFumwWLQkMzez0Q6WVOKs+xZOruT/iO2rQWZuk+QbxMBxHET3RgOVwWKRYVKH7SQ1yMTfFJpIFYy6kFPqJN5mHRw1RM9WAOlCDKkiw5vX1L8UW2VhlTJ7RXEofpfZ6CeUUqxbZbOqLHE7JUTU+5HVpXtYYcJG4Jv61Guz7Lv7W7ZdF+KtCq01HVebfqaOBV3eMOYGLBbpsFi0pGBAATKbZZozMiHjANgn3/Sjlsk0hPn/RA9EsfPVnYHKYLHIMOmFzsNoOh9NngpvOSqvoO2aL5Onz6+3w68Is/UoJgvTxF/cJvYhxWZdPr9rKFWClCqmEonqQYW43f1uKksn0L1QvfRB1gHL7KCkUx/QmASwjfj0C4tFOiwWGYZhGKYREnb4m2rCT335BhXVBFx8wYtssi62WVeGqlzxu6osVRoVkwdQJ5rDfLmI2F8qz6LKyxSGV1HlydTZKZYv++31vum8ilRkfa+z0/vbpq1edC+tsQmRpeI9t0yizs854acPmcTCYpFhmJTBnkWGYRiGYZINexbpsFhkGCZlsFhkmPQiEZ4w07ag9YleDpXnwwvVWyErV/ZdV5Yp5E6Xh7K+0Lt/kPViOs8p1dMl85pRQxPF4yXzuIk2UPpN5/GWeRZVmMKQvXl0oane77J2yLy3YhkUj6HO4xgWlLBxwN7bzGGo6QWLRUt2L9ndaAcLw3gJ4wLOYpFh0ocga5NME1KqSNGlieXLxKF33zBCacVJvGltmspeaiihalId9Hqr6yv3r+oYqARc0DBUWdmy/OJ9QiUiVejW7MkEop81c5Q8uvNLdi8M48GN6rwM40GKqk7ZfrI+pT5YMJ1ffmGxSCdtxOKBAwcwbtw4vPbaa/jyyy9RUFCA0tJS/P73v0dxcbF23xkzZuDBBx9ERUUFevfujT/96U84+eSTY9v379+PX//613j++edRXV2NsrIyPPbYYygsLLS2M+jbHxmGOQyLRYZJTyjeMO932WSO6mWRTRxlglBWvsnrZ2qDeA0y1asSEVRBZLJP149UKMLcJBR0Hk/VdVtVrunYe3+rBJPKU0s9zjI7dGsU/QpEypgweWl1nlObNZU6kayzS7SDKurEsnX5dA8GdDaGCYtFOmnzWs8ffvgBH374Ie699158+OGHeOmll7Bu3ToMHjxYu9/cuXMxZswYTJgwAR9++CF69+6NsrIybNu2LZbntttuwz//+U/MmzcP77zzDr799ltcfPHFiW4SwzAGxHAb2YdhmMSgm3iqPC5iyJ7uI+6nK0+GTiD49XTo0ik26ESeybvoJxxQ1Y+qPqaUTbne6oSDSezoRJi3bNO1XpWPcn+QjVXRNtWYNGFzLCl9YepPig2mdFm9st+m+lUCUHd+664PtkLd1J82UOYfPCc5RNp4FgsKClBeXh6XNn36dJx88snYuHEjOnfuLN3v4YcfxvXXX49rrrkGADBz5kwsWLAATz31FO666y7s3r0bTz75JJ599lmcddZZAICnn34axx57LN5//32ccsopiW0YwzAMw6Qx7hN+mVfENDHUTfpM3ieTl07nOZSVL3oyVW0KiqpelW22nkQ/XlZ3u9huSptt8+vyUSfxMtGhEjCmOnU26MapSVxTx7Qqr2p/qjCzQSVgdW0wCUbdwxq/Yk/cXyc+bctlEkfaeBZl7N59aH1gy5YtpdtramqwevVqlJaWxtIyMzNRWlqKFStWAABWr16NAwcOxOXp0aMHOnfuHMsjo7q6GpWVlXEfhmHChZ/iMQzDMAyTbNizSCdtxeL+/ftx55134oorrkB+fr40z/bt21FbW1tn7WFhYSEqKioAABUVFcjKyqojOL15ZEyZMgUFBQWxT6dOnYI1iGGYOvCFmWFSByWUVBXqqEoz5VdhCnEUv5tCEHXtpeY3bfMSxOsly0MJa/XmVe2n827J+jhIWKRpOzU80mSD7v6gCjcVbaSEOqq26X6roPQj9ZhT99GVpfMq+h0Dsjpl1wNdmm676rrkFxaLdFImFufMmYPc3NzYZ9myZbFtBw4cwKWXXgrHcfD444+nxL6xY8di9+7dsc+mTZtSYgfDNGT4wsww6YHN5Fk1YdNN+KjIJqo6cUPFNOkMawJqqt/9brOfrAzdNp1IUqEL+ZSFxYb18WuDDF37qWPTz7FJxrhRiWA/4snm/ApDKFJFLnWshwWLRTopW7M4ePBg9O/fP/b7iCOOAHBYKH799dd4++23lV5FAGjbti2aNGmCrVu3xqVv3boVRUVFAICioiLU1NRg165dcd5Fbx4ZkUgEkUjET9MYhiFiuvg21gszwyQD74QsI6Pu/yrU7UdJ84vKY+TaSEEmRLxtVeXzptt4jbx9Z7LLJr93H9FmsT9k5Yr9Zlu3tz5Tmm0Zsjx+7KKIP4oo9DO2dPvoxC+1fNM2nSimQvHm26DqW++1xc+5HLZ49CP+GuucJGWexby8PHTr1i32ycnJiQnF9evX46233kKbNm20ZWRlZaFfv35YtGhRLC0ajWLRokUoKSkBAPTr1w/NmjWLy7Nu3Tps3LgxlodhmNTBT/AYJjXIJpeJ9rC56EILw/R4yDwvfrxeOltNdcvSvX916OrQCSNVW1TeN0rZpk80GlV+/PQ3RcibjqsqjwzKuDIJlrDHDrXPbM9b2/PPtL+srCCojiHl/LSBvYo00uZtqAcOHMDPfvYzfPjhh3j11VdRW1sbW1PYunVrZGVlAQDOPvts/PSnP8WoUaMAAGPGjMHw4cNx4okn4uSTT8a0adNQVVUVeztqQUEBRowYgTFjxqB169bIz8/HzTffjJKSEn4TKsMwDNOoCeJxUkENJzRNOGUTQpU3DYhvi/d3MhDtUn0XvStiGbbI+kLmRRWPs8weld1BvHA6xPaKZYrtUXmEVaLZ+z2IkLKpz5sW1EtHedBAEdy25x9FHMrGl+7cDILYVib5pI1Y3Lx5M/7xj38AAPr06RO3bfHixRgwYAAA4L///S+2b98e23bZZZfhu+++w/jx41FRUYE+ffpg4cKFcS+9mTp1KjIzM3HJJZeguroaZWVleOyxxxLeJoZh9HAYKsMwDMMwyYbDUOmkjVjs0qUL6YnBV199VSdt1KhRMU+jjOzsbMyYMQMzZswIYiLDMCHDYpFh0gMbr6LMY2DyRpg8GjLPhW7tncwendeOGvJpsw9lbSAV77oxEVtviqrvvGXJvK86j5zJmybzVsryUbzJMm+VrD8pHkVbVP0fxvGkihOKF5USlkn1bnptVeU3eflV3l/duW5zf0+ER5HFIp20EYsMwzQ+WCwyTHohigkvYUysVBNTWT5TSJtOPNqgEwO69W2qEFBvmSpsbKSKWF2oqe64evdViRFVfp09sm26ftGJC9N+3u82otHPPUYlvHVlU0Sb6UGDrWDyG2ZKPfdV453aL5RxnciwUxaLdFgsMgyTMlgsMkxqoUxc/QpHqlfBr0fPz/oolafLNMHV1SPzfunsUU2Wg3h2vVC8xKqJuUx42Xj0KPVQ7QziqfXjSba1w/YY+zmPTMfJbztt2i6zJ+i9WfdQQNemMOcELBbppOxtqAzDMO7FWvexYenSpbjwwgtRXFyMjIwMzJ8/X5v/pZdewjnnnIN27dohPz8fJSUleOONNwK0iGHqD34mSrJQNdO5K6aZvIs6j4RJXFDbpAvf8+ZR1eOtT9V22XdKH/i9FlIEIHVfsX/c77I3m6rq1HlAveW5ZYrbbMNKKV5QGdT+1h1XsSxKuaYHNTZt1LVNt003tlR9oBLClPNC13dekiEaKXbynOQQLBYZhkkZYV+Yq6qq0Lt3b/L65KVLl+Kcc87Ba6+9htWrV2PgwIG48MILsWbNGj/NYRiGYRimHpAMsdhQ5iQchsowTIPh/PPPx/nnn0/OP23atLjfv/vd7/DKK6/gn//8J/r27RuydQzTcPD7ZF/llTB58QDzSzbEfVTr5XQv4hDDb8VQV7Ec0Q6xX9w0kwdV1i9i+1Tt8qbJwmFNUNYn2oQ9BkHWf246tU0yj6RuPaT4W9bf3uPrZ00e5buYpgv3NXldbbyFbrrJC+mtSxzvYYWnNjQaypyExSLDMCmDeoNKFtFoFHv27EHr1q2TWi/D1Ceo56VqAmkzQTbZIRNu4nbRJpUINNmqmxBT1gnKyrUVjGKaSijbXjtVYaipQCfQKYiCTiYYdWNQJ4xkAkksT3ccTXWr2uFiCs+l3E9tx4ZOYOoeZFAfVPg598PAj6ewsc5JWCwyDJMyqGKxsrIyLj0SiSASiYRuzx//+Efs3bsXl156aehlM0y6YzshV5Why2MqX5wg67wmKo+Pqj6TWDCh80YGnXTKroUq0SMrR9U2mwmxzIOoE41+J/mqtgQVHrK+UHmTZfuJ9qm8xFQ7qN5kW2TjgvrQVWebrBzTgwuKZ5FyrdCRKBEZRCw2tjkJr1lkGCZluBdr3QcAOnXqhIKCgthnypQpodvy7LPPYuLEiXjhhRfQvn370MtnmHTDz0TJbzSASgyF8aTeOwHWlamry4/g8X7XeZFM28Q8QSaxqr7wU6ZKnKrspX50bXfrtfUwq9rp9+GAaqyqxJ6sfVQbTfh92YvO3iDYCELTtSKIYA6K7bhtzHMS9iwyDJMyqBPPTZs2IT8/P5Ye9hO8559/Htdddx3mzZuH0tLSUMtmmPpEItYeBSlL5rnwsx6Pip91cV5bqSGU1Mm1WKY3TTdpV/2ltMNmu6x+2VpOKrbeuyCYRI849mTppuMqqyPIGDOhE4d+bLWtO2wvYCJDU4M8lGlscxIWiwzDpAyqWMzPz4+7MIfJc889h2uvvRbPP/88Bg0alJA6GIZhGIZJH4KIxcY2J2GxyDBMg2Hv3r344osvYr83bNiAtWvXonXr1ujcuTPGjh2LzZs345lnngFwKMxj+PDheOSRR9C/f39UVFQAAHJyclBQUJCSNjBMOmC7XoxalrdMylslTW8clZWhW1Ml20/18hLKgyyxTFlIpW05FHT2hhl+qPJsqvLKtus8TjYvaDGhGh/iMfZbj8pzLMtHSdMhrh1VpfmpV+dRtPHW+/X6mcZDql6slAgaypyE1ywyDJMyqOsDqKxatQp9+/aNvWJ6zJgx6Nu3L8aPHw8A2LJlCzZu3BjLP2vWLBw8eBAjR45Ehw4dYp9bb701vEYyTANDN5kTJ7eyj64M00RYNtGViaMwwhSDrGMM2xZTfSahGOS6KttXTMvMzNRexzMzM+vkSZRd4jZd/4SFqg1+6gtDLFH6WNY/JltUL0CyOc+Dis2woMw/eE5yCPYsMgyTMkwXX9sL84ABA7Q3oNmzZ8f9XrJkiVX5DMOokU0kVfmo57boOVPta5p46rwZtjaZ6pHZ5G2HjiB2qDxEYYojmbgw1UVZwxiWQBI9iLo6TVD3CcOTGNQOSn0mTyhFMFLekiuW7WdMJ0NI+n1AYUNDmZOwWGQYJmWELRYZhvGHKjyPeg7KJpHRaFSa1895rRICsjLF8EyZraIIFdsh224bmiuzVSzLFEZLqUP8rfIs+ilf3FcnFnVihFpnENtUDxRM44Fav204rgmToKV45VTnK8WTaiPyxXTRg6gq1/1NFYy6fgh7PpAMsdhQYLHIMEzKYLHIMAzDMEyyYbFIh8UiwzApg8Uiw6QOXbio6dxTeT0o6xIp2FwXbOqReWZUL7jxbpeVo/PMmPaXeRhNfa7ylnm3+VmDZvIUyeyw8Szq8OvpU3mG3W0qj61uP4odNsdINSZMYbim72KaTTv8tFmWbjNe3Hr9hPWq2hpW2DKLRRosFhmGYRimkRLW2iDdyy1swjcpk3mToPO7Rk1mqy70UCY4VfaaRI9bHnUyahsOKk66TSGPqna7E+ywxKLJBkq4sEmMy0KYbUWTjUhUleH9K9tmSrNFF1KuG5OUsaE618N6+Eu1jUkOLBYZhkkZ7FlkmPqNd7LoOA6i0ahULJo8AqY1gtR9xP1MZYkiwrufKc3GS2VaM2jr5Q26Xo5atw6VF00l6tzftmI+iNBTHTOvbWJdOhtk5VMJQzDq+k1ln2ltoq5clTdT5lmUCceMjENvwjXZqWpLIsUhexbpsFhkGCalNNaLL8OkG0GFBsWzqKqX6qXzluf1aKlEFmWyqQpZ9JYjy6cSQrqyvHZRJ8Jif1COk65s2TFSYTOx14kpkyfQm99kE6XfqHbLxI6pXkp7VWXqfofhTaM+fLU5L3RC0a/9QQR/mPD8gwaLRYZhUgZ7FhkmddhO4nQTfkpooypdFm5o40VK9CRbJwq9eSjePj+TXpswT8oxEMWiSTwG8b7YHgPV2AhaDiWvX1Hid4xShaqNl0133lA84Krxo3soZKpD95BF1Sa/HmAb2LNIh8UiwzApg8UiwzAMwzDJhsUiHRaLDMOkDBaLDJMeqF6GYeOJMHkcVOWJIZ+ip1Flp18vkK5MHapQWYrHRlY/xZPlZ02cKV3mWZTlsw0V1Nlh4x0T89p4F4OGLFLCZHW/dajCOoPYZnuPtPHSycaI33Kp0QK68z7sUFQWi3RYLDIMkzJYLDJM+kCdPNmE+Ln5bQSZbt2iLszN1q6woISfylCJ4iD2UQRjItZ/mY5xour0olu7aoPpQYX3r6pslR1B+yGoOKQ8bNGNFV3YqM15ritLtNOU1y8sFumwWGQYhmEYJg7TC1V0k0jZ2iRV2TJM65io3hGVNyNRL8sQ6/b+VU3aZV5G6npNXTso3iKZzdR1aGIZVCGk81JR1q+JNlEEtx8BqROKsn3F+hLhCZMhE7AiFE+2zfpJVXm681x2nGT5k9l3DB0WiwzDpAz2LDJM6nHPQ9n5aPuiCUq4GWWC65Ytq98U0pho74esDJOAEL2sfibDQUMBqeWIqLw8NqGl4r4y0WjbL6q+pIRrhiFGVOOXapONOKbYIaI6f1T2hGmTbD/TuHGvP7pzNEwRyZ5FOiwWGYZJGSwWGSa1+DnHTBM26jntJ2yR6h2xtc127ZhNuphH54W1hSpAbEL+TOlimaYHBFQbVftTx4lOhFC9tTpsbdPZJNrlt34TFK+w6jtlXAR5YKCrQ0WYcwIWi3RYLDIMkzJYLDIMwzAMk2xYLNLJTLUBDMM0XsTwN9mHYeojBw4cwJ133olevXqhRYsWKC4uxrBhw/Dtt98a950xYwa6dOmC7Oxs9O/fHx988EHc9v3792PkyJFo06YNcnNzcckll2Dr1q3WNmZmZiIzMxNNmjSJfRfPOzdc0PRx8Z67bpluHd56vHXpzvdoNBr7OI4T91v86OwSbRPrpFyLKNckVbmqvLrfYhuox8LUD7L2usfD9viEhawurx0ye0TC6BvVuJF9V9nv/e2n3X7Gqa4PdOeMeF7ZHhvdNSTotcStW1ZHZmZw+WLT9419TpJWYvG+++5Djx490KJFC7Rq1QqlpaVYuXKlcb9k3VgZhgkXvjAzDZUffvgBH374Ie699158+OGHeOmll7Bu3ToMHjxYu9/cuXMxZswYTJgwAR9++CF69+6NsrIybNu2LZbntttuwz//+U/MmzcP77zzDr799ltcfPHFiW4SwzBMg4HFIp20EovHHHMMpk+fjo8++gjLly9Hly5dcO655+K7775T7sM3VoZhGCbdKCgoQHl5OS699FL86Ec/wimnnILp06dj9erV2Lhxo3K/hx9+GNdffz2uueYaHHfccZg5cyaaN2+Op556CgCwe/duPPnkk3j44Ydx1llnoV+/fnj66afx3nvv4f3337e2kzIJkj35N3lgVGWbJmA2dug8Z6r9Zej6gOoVVNUV9IUcbj0UD5iuDF1/m7xWMu+WzlY/6bZeNVO7VMjGjPd3UDFAOe66saY7h1S22Yx/2/OHOjZ0tsrslvUTpc8as2BLJWklFn/+85+jtLQURx11FHr27ImHH34YlZWV+L//+z/lPsm+sTIMEx78FI9pTOzevRsZGRlo2bKldHtNTQ1Wr16N0tLSWFpmZiZKS0uxYsUKAMDq1atx4MCBuDw9evRA586dY3lEqqurUVlZGfcBaKFyNmGQLjqBKP421W8jAkQ76zsZGXZvrFSFm4q/g3hRVELTBlMZQWzUCRNKuuqFMPUN04MdGdR2mx46yMqjhp+a7AxzbmA7zhrznCStxKKXmpoazJo1CwUFBejdu7cyTyJurAzDJAe+MDONhf379+POO+/EFVdcgfz8fGme7du3o7a2FoWFhXHphYWFqKioAABUVFQgKyurjuD05hGZMmUKCgoKYp9OnToB0K/F0k02deu9TNhMSG2heklU+1GEmc11yeQ9MfWXrXdSNXmXXVd16xKTMWkOUq9rv8omioCUQelv1Zi3ETxiH3jLUnmQdWNb1z4/D010x1cl7HXo2iTLR33oERQWi3TSTiy++uqryM3NRXZ2NqZOnYry8nK0bdtWmjdRN1ZA/SSWYZjw4Asz01CYM2cOcnNzY59ly5bFth04cACXXnopHMfB448/nnTbxo4di927d8c+mzZtim3TTbIBtWdRTDMR9HwOY38vlBA8PxNtSn/48fpQCVt8hTWJTpQ4TOY9RDxmVLHvtx7VNoqYsiEs8W9C99CJIhTDPqapHk/1iZSJRdWNdeDAgVi7di3ee+89nHfeebj00kvj1h8mC9WTWIZhwoMvzExDYfDgwVi7dm3sc+KJJwI4LBS//vprlJeXK72KANC2bVs0adKkzgvYtm7diqKiIgBAUVERampqsGvXLmUekUgkgvz8/LgPwzBMY4bFIp2UiUXVjbVFixbo1q0bTjnlFDz55JNo2rQpnnzySWkZibqxAvonsQzDhANfmJmGQl5eHrp16xb75OTkxITi+vXr8dZbb6FNmzbaMrKystCvXz8sWrQolhaNRrFo0SKUlJQAAPr164dmzZrF5Vm3bh02btwYy0OFen6F4UXx40GTXQf8Xidswj91eXTtkNWhCyP063miePHE76r+8v6mevR09doeH6oHUcyrapO4jdpPVFShyioPmWm82Kyn1O1r492njAVdvX7tNWFzPoQxN2CxSKdpqirOy8tDXl6eMV80GkV1dbV0m/fGOmTIkFj+RYsWYdSoUQDib6yXXHIJANqNNRKJIBKJWLaKYRiGYQ55FH/2s5/hww8/xKuvvora2trY0ofWrVsjKysLAHD22Wfjpz/9aeyeNWbMGAwfPhwnnngiTj75ZEybNg1VVVW45pprABx6y+qIESMwZswYtG7dGvn5+bj55ptRUlKCU045JTWNNWAzkfS7Lsu73XZCG0YYqGuDW5b4nVJXUDtkIlH8LvutSpMh9jWlHNM+3v1Mx1nML6bJjoOYzxad/bqxZyvmZGWLiHaYyqUce5MNqnFtY4epDj+2MckjZWJRpKqqCr/97W8xePBgdOjQAdu3b8eMGTOwefNmDB06NJavMdxYGaaxQHnqzDD1kc2bN+Mf//gHAKBPnz5x2xYvXowBAwYAAP773/9i+/btsW2XXXYZvvvuO4wfPx4VFRXo06cPFi5cGLc2f+rUqcjMzMQll1yC6upqlJWV4bHHHkt4m6jIXgqj2qZKo+wn5gs66bRZC+YVCTIxoZtch7FOUSWCVKJL1Q5duqo/wl5jqdsmE4iAWjiqxCqlPioygaraLku39cL5sVn3sMC0TxAPeFCBnEz8eAob65wkbcRikyZN8Pnnn+Ovf/0rtm/fjjZt2uCkk07CsmXL0LNnz1i+hnhjZZjGCotFpqHSpUsX0mTpq6++qpM2atSo2ANRGdnZ2ZgxYwZmzJgRxETf2Hj53DQdssmxrUdEFG8mbCb4QbxutuJYJRRsPK4UryJFPMo8dWG/1MUrqmW2mUSryovo5wGCSYCrbNfhV2jJ0lXeah1BRaPsPLEJVU1nryGLRTppIxazs7Px0ksvGfPVxxsrwzByWCwyDMMwDJNsWCzSSRuxyDBM46SxXnwZJtX4nShRQkJN+bxQwgQp3kzKOjVdGiXskupV8eNd1U1e/XiSVOl+1q0lAxsvLhDvXXT3l+WxxWbdpc5z5mf8y37rPKaqulXHm7omlJJOwRS2bPLaBj0fTPD8gwaLRQuaN2/OL71hGA87d+4MtD97Fhkm/QljTaCfF7uorg+iIBVFgzfdVAc1vFJVri4ftTzbslUEEYQye8LIpyNIeKepXNO6Qhu8YyRsm21CWWXj3IspdFsM85WJUm/oqfud2jZV+aaxaDrHEwV7FumwWLTgkksuQfPmzaXbsrOzARx6G2tNTU0yzYqRlZWFzMxD/w1l//79KbEhMzMz9pa/mpoaRKPRlNjBx+MQiT4ef/7zn0Mtj2GY1BH2i0Bk5ao8e5QJpipNJRSpgkEmGGXeHB0mr5YfMWHyToYlCCneJt0xtG2bylNmEkN+6/PWKSvDxitIXTvqx0ZVv1LGInVtquqBguq8pD5MUa03pWASuUEfojDBYbFoQfPmzXHgwAEcPHgwLr1FixaxCXk0GkVVVVWdPImmadOmyM3NjYmTmpoaVFVVJdWGjIwMtGrVCs2aNYv93rlzZ9JCWFz4eBwi0cejadPglw/2LDJM6lB5FsS0oOVStttMjEVUwjCoRykolLptvCpBroe642rj9VWJBxvvk+qFLbbHKmh4pGm77MFFIkI1w0Qn1qjjx3RsbR4q2YYVU9PD8myzZ5EGi0VLDh48iAMHDsR+5+XloUWLFti9ezf27t2Ltm3bomXLlti+fXtcvkTSrFkztGzZEgcOHMD27duRm5uL/Px81NbWYs+ePUmxISMjA23btkVmZia2bt0KAGjbti0KCgqwffv2pF1I+XgcIl2OhwkWiwzDMAzDJBsWi3RYLAYgLy8P+fn5qKysjImA7du3o23btmjbtm1SBEqzZs3Qtm1bHDx4MCYCXFvy8/MBIOECxRUmTZs2jWuz2BeJFih8PA6RLseDAotFhkkvqOejKuzOe11xw94p66BkXhCZB0PlZVB5f2ThrTrPplgmNbxPhh9vWdB1h6qQWupLVFTlycqneNlU4yQRHmtVf/utS7W2z4TpuMtCb8V0WdivyQtN8VLrvHSyenXrFk2eQPf8UZ0zqZ6DsFikk5lqA+orMmECHBr827dvx8GDB9G2bdtYCGAikAkTlz179qCyshL5+fnIy8tLmA0qYQIg5llr2rQp2rZtm9CTjI/HIdLleFDx3kxUH4ZhGIZhmDChzD94TnIIFos+UAkTl2QIFJ0wcUm0QNEJE5dkCBQ+HodIl+NhA1+YGSZ1+PGYqM5LlTdBVqetd8qPzSYb/SDun6zrVtAyZd5B0WMkOxYyL5Msr84DJW7TlSGry1Sfrp1UEn3cVGMjyHjUeeyoZarOP9N5SYkSMHkVVfmohLlmkcWiGRaLlrRo0UIrTFwSKVAowsQlUQKFIkxcEilQTELRhY/HYdJJMPKFmWFSC0VIyKBOCMVyZfVS6lOVFUQ86raLk3rbiST12mXTbptybASVbj+TMDRtCyogdb9l7dHVFxSbMigPFHT3Otn4o9RHbYNNW1THWlauN79oG/XeThk7YcBikQ6LRQvcN1yahIlLIgSKjTBxCVug2AgTl0QIFKpQdOHjcZh0EowMwzAMwzBMesJi0YKmTZti7969Vi8oCVOg+BEmLmEJFD/CxCVMgWIrFF34eBwmHQQjP8VjmNSj8+z58RzpypChOs8pXiRZO3Tlummm8Dnxt/vJzMyM+xuWh5GC7JpI9b6ZjpOuL229zaY0lW268EaT7RTPqqyMsO8xFI90ZmamcRx59xfRjXFxH9M5Lf5W9TPlfky5DpiuISp7w/QourBnkQ6LRQsOHjzo63/lhSFQgggTl6ACJYgwcQlDoPgVii58PA6TasHIF2aGYRiGYZINi0U6LBYtCPKP3YMIlDCEiYtfgRKGMHEJIlCCCkUXPh6HSaVg5Aszw6Q/1LVDfq+Ftl4j2zJkBLm+UK5Vfr2LMi8PtW1BPS+2Hj0VQa7fiVijZtt/ooeTgsmjHOb9zXY/6vlDOQ/9QD2mJg952LBYpMNiMYn4EShhChMXW4ESpjBx8SNQwhKKLnw8DuPneLRo0SJwvXxhZpjUowo3tP2IZVAJer6r6qKE4FFsol6nZL/DIiwhpyIsWxN1DQ+rHEq4alB04yFsUWIjrv220e+x1IUyU64lsjLChMUiHRaLScZGoCRCmLhQBUoihImLjUAJWyi68PE4jO3xyM3NDVwnX5gZhmEYhkk2LBbpNE21AY0RV6C0bdsWbdu2lU76EylMXFzRlZ+fH/fbJZHCxMUVKN6+ENuaKKHowsfjMDbHY+/evaHXzzBM8vA+tY9Go3W2AfEeHdl1T5w8UTxfshA9qr02ZGRkxO3j1uM4jrFO2QTR+zISWXliXTqPCKUvVfko21To2i22QZWmK5NyLHXlyfY3eWop/RBWiK7MLjFNNka8f73nlluueP6pEAWL7LepHZQ0Wb2UNJmnM8i4Vp1jiQ5RZeJhz2KK0Hm0kiFMXFQerWQIExedRyvRQtGFj8dhqMfDz8ueRPgpHsMwDMMwyYY9i3RYLKYQmUBJpjBxEQVKMoWJi0ygJEsouvDxOEyyjgdfmBkmtejWCHl/m9YUUdd9eT0sogcmEee7qR7qb503VNUmmR2y/V1s13eJecNAtFOsR5VXd/xU3jYvKo9RWGOCOq4pa0Op3jydl1E2nkzlyvo70eePaIefeiljVzWOVccsrHaxWKTBYjHFeAVK+/bt0b59+6QKExevQCkuLk6qMHHxCpTi4uKkCkUXPh6HScbxCPvCvHTpUlx44YUoLi5GRkYG5s+fb9xnyZIl+PGPf4xIJIJu3bph9uzZ/hrDMPUMUygYVaSotnnRiQWdWKO2gzKRlE203Y8bYqqzQzdR9nMdo7STKmjEvDrCmPgGnTSHsb+uDOrDDVOfUu2m3suoDyK8+b3/l9FUJrUfKOjEqawtsrplNtgKRlW7gpIMsdhQ5iQsFtMAx3FQWVkZ+11ZWZlUYeLiXYNWXV2dVGHicuDAAVRXV0ttShZ8PA6T6OMR9oW5qqoKvXv3xowZM0j5N2zYgEGDBmHgwIFYu3YtRo8ejeuuuw5vvPGGn+YwTL3FZjKpm9R503QTTJOHIoiYoQhGMc0rGnUTc1k5NtcvU7spk2aqN4yyfxjYHKegItHF1D5ZXqooUeVRPRgQoQhG3YMI71ik1KXrI1tMolC039Qu1TXC9HBJlj9skiEWG8qchF9wkwY0a9YMrVu3jomB1q1bJ92LlJFxKNQxGo2iuroaOTk5yMvLS6pXDzi0Ji4nJwf79u1DJBJRvmQlkfDxOEyij4fp4mt7YT7//PNx/vnnk/PPnDkTXbt2xUMPPQQAOPbYY7F8+XJMnToVZWVlVnUzTH3FdD7LvITiNup57DiHX1Shm2jL9rVBVb6qXDe/SgTK9pX1g6keXV4ZVEHk1iW2m3J8gmLqazFvIu1Qpen6S5ZORRwLlDHnPSY2x8fGLr9CUSaOZcdXTKMIKdPDJdM4shlnFPyIv8Y6J2HPYorxron77rvv8N133/n6R/FBcIWJG+r4/fff+/pH8UHxron7/vvvU/KP4vl4HCYdjkeiWbFiBUpLS+PSysrKsGLFihRZxDDJhTKp1Hm/bMrxlmV6am/rRZGh8iBRvD0mIasTkBTPEqU9plA9XWifqcwgmLxFVE9eomzx2mNjG6X/ZGPEdjybvHGqsmV1ydps2686z6GpfVTBJfN66x5C6cpJpvMg2aTrnIQ9i0Tcwdm0aXhd1rRpU7Rq1Qq1tbXYvXt3rOzdu3ejVatWaNeuHXbu3ImDBw+GVqdIRkYGWrVqhSZNmmDnzp0ADgmm/fv3o0mTJigoKECTJk1CefOljhYtWiA3Nxd79+7F/v37Y8Js165daNWqFdq3b4+dO3cm9CLBx+MwlOPhhqQGOSZ79uzR3iBcT6o3LBgAIpEIIpGI73pdKioqUFhYGJdWWFiIyspK7Nu3Dzk5OYHrYJh0wz1nvSHmqjzUbVQBRC1H951Sjgw/HiPvd8oEWSdQxHwUr6FOwOhCJFVtkf1WlamzR4XMO0V9IKGyzcZeXT/L+ktng6pe2XadcNTZHpaYDuMcUI21oN5Xk3fX1k7g8LUrkfMP1T5A45uTsFgksmfPHvz5z39OtRkMk3bs2bMHBQUFVvtkZWWhqKgInTp1MubNzc2tk2/ChAm47777rOpkGOYQ7oRn6tSpKbaEYRjGP4mef8hojHMSFotEiouLsWnTpti/MghKZWUlOnXqhE2bNsX+CTtDg/vOH2H3m+M42LNnD4qLi633zc7OxoYNG1BTU0OqRzznwniCBwBFRUXYunVrXNrWrVuRn5/PXkWmwRL2/cyGxnb9bmztBbjN3ObEk6z5h6ruxjYnYbFIJDMzEx07dgy93Pz8/EZzYQkb7jt/hNlvtk/0vGRnZyM7OzsUO/xSUlKC1157LS6tvLwcJSUlKbKIYRJPou5nNjS263djay/AbW4spKrN9X3+ISNd5yT8ghuGYRoMe/fuxdq1a7F27VoAh15DvXbtWmzcuBEAMHbsWAwbNiyW/8Ybb8SXX36JO+64A59//jkee+wxvPDCC7jttttSYT7DMAzDMA2EhjInYbHIMEyDYdWqVejbty/69u0LABgzZgz69u2L8ePHAwC2bNkSu0gDQNeuXbFgwQKUl5ejd+/eeOihh/DEE0/wv81gGIZhGCYQDWVOwmGoKSISiWDChAmhxTk3Jrjv/NEY+m3AgAHat6PNnj1bus+aNWsSaBXDMC6N4TrkpbG1F+A2NxYaY5ttaShzkgynIf/DEoZhGIZhGIZhGMYXHIbKMAzDMAzDMAzD1IHFIsMwDMMwDMMwDFMHFosMwzAMwzAMwzBMHVgshsSBAwdw5513olevXmjRogWKi4sxbNgwfPvtt8Z9Z8yYgS5duiA7Oxv9+/fHBx98ELd9//79GDlyJNq0aYPc3Fxccskldf5pZ33G1H6RefPmoUePHsjOzkavXr3q/E8ax3Ewfvx4dOjQATk5OSgtLcX69esT2YSkM2XKFJx00knIy8tD+/btMWTIEKxbt864H/cdwzBh0Vjvey+99BLOPfdctGnTBhkZGbHX4puoz9ffxnSfXrp0KS688EIUFxcjIyMD8+fPN+6zZMkS/PjHP0YkEkG3bt2kLy6x7cNkwnMKRovDhMKuXbuc0tJSZ+7cuc7nn3/urFixwjn55JOdfv36afd7/vnnnaysLOepp55yPvnkE+f66693WrZs6WzdujWW58Ybb3Q6derkLFq0yFm1apVzyimnOKeeemqim5QUKO338u677zpNmjRxHnjgAefTTz91xo0b5zRr1sz56KOPYnl+//vfOwUFBc78+fOdf//7387gwYOdrl27Ovv27UtWsxJOWVmZ8/TTTzsff/yxs3btWueCCy5wOnfu7Ozdu1e5D/cdwzBh0ljve88884wzceJE5y9/+YsDwFmzZo1xn/p8/W1s9+nXXnvNueeee5yXXnrJAeC8/PLL2vxffvml07x5c2fMmDHOp59+6vzpT39ymjRp4ixcuDCWx7YPkw3PKRgdLBYTyAcffOAAcL7++mtlnpNPPtkZOXJk7Hdtba1TXFzsTJkyxXGcQzfjZs2aOfPmzYvl+eyzzxwAzooVKxJnfJIwtV/k0ksvdQYNGhSX1r9/f+eXv/yl4ziOE41GnaKiIufBBx+Mbd+1a5cTiUSc5557LgEtSA+2bdvmAHDeeecdZR7uO4ZhEk1juu9t2LCBLBbr8/W3Md+nKWLxjjvucHr27BmXdtlllzllZWWx37Z9mGp4TsF44TDUBLJ7925kZGSgZcuW0u01NTVYvXo1SktLY2mZmZkoLS3FihUrAACrV6/GgQMH4vL06NEDnTt3juWpr1DaL7JixYq4/ABQVlYWy79hwwZUVFTE5SkoKED//v3rfX/p2L17NwCgdevWyjzcdwzDJBq+78mpr9dfvk+bMbXXTx+mGp5TMF5YLCaI/fv3484778QVV1yB/Px8aZ7t27ejtrYWhYWFcemFhYWoqKgAAFRUVCArK6vOjdebp75Cab9IRUWFsb/cNGqZ9Z1oNIrRo0fjtNNOw/HHH6/Mx33HMEwi4fuemvp6/eX7tBlVeysrK7Fv3z5ffZhKeE7BiLBY9MmcOXOQm5sb+yxbtiy27cCBA7j00kvhOA4ef/zxFFrJNAZGjhyJjz/+GM8//3yqTWEYpgHTGO97ujYzTEOE5xSMSNNUG1BfGTx4MPr37x/7fcQRRwA4fMP8+uuv8fbbbyufrgJA27Zt0aRJkzpveNu6dSuKiooAAEVFRaipqcGuXbvinrJ689RXKO0XKSoqMvaXm9ahQ4e4PH369AnR+vRg1KhRePXVV7F06VJ07NhRm5f7jmGYIDTG+56qzbbU1+sv36fNqNqbn5+PnJwcNGnSxLoPUwXPKRgZ7Fn0SV5eHrp16xb75OTkxG6Y69evx1tvvYU2bdpoy8jKykK/fv2waNGiWFo0GsWiRYtQUlICAOjXrx+aNWsWl2fdunXYuHFjLE99hdJ+kZKSkrj8AFBeXh7L37VrVxQVFcXlqaysxMqVK+t9f3lxHAejRo3Cyy+/jLfffhtdu3Y17sN9xzBMEBrjfU/WZj/U1+sv36fNmNrrpw+TDc8pGC2pfb9Ow6GmpsYZPHiw07FjR2ft2rXOli1bYp/q6upYvrPOOsv505/+FPv9/PPPO5FIxJk9e7bz6aefOjfccIPTsmVLp6KiIpbnxhtvdDp37uy8/fbbzqpVq5ySkhKnpKQkqe1LFKb2X3XVVc5dd90Vy//uu+86TZs2df74xz86n332mTNhwgTpq5pbtmzpvPLKK87//d//ORdddFGDe1XzTTfd5BQUFDhLliyJG2s//PBDLA/3HcMwiaSx3vd27NjhrFmzxlmwYIEDwHn++eedNWvWOFu2bInlaUjX38Z2n96zZ4+zZs0aZ82aNQ4A5+GHH3bWrFkTe8PvXXfd5Vx11VWx/O6/zrj99tudzz77zJkxY4b0X2eYxnwq4TkFo4PFYki4r9CWfRYvXhzLd+SRRzoTJkyI2/dPf/qT07lzZycrK8s5+eSTnffffz9u+759+5xf/epXTqtWrZzmzZs7P/3pT+NuSvUdXfvPPPNMZ/jw4XH5X3jhBeeYY45xsrKynJ49ezoLFiyI2x6NRp17773XKSwsdCKRiHP22Wc769atS0ZTkoZqrD399NOxPNx3DMMkksZ633v66aelbfa2saFdfxvTfXrx4sXS4+u2cfjw4c6ZZ55ZZ58+ffo4WVlZzlFHHRV3L3YxjflUwnMKRkeG4zhOYn2XDMMwDMMwDMMwTH2D1ywyDMMwDMMwDMMwdWCxyDAMwzAMwzAMw9SBxSLDMAzDMAzDMAxTBxaLDMMwDMMwDMMwTB1YLDIMwzAMwzAMwzB1YLHIMAzDMAzDMAzD1IHFIsMwDMMwDMMwDFMHFosMwzAMwzAMwzBMHVgsMmnJk08+iXPPPTfh9SxcuBB9+vRBNBpNeF0MwzAM0xDgezTDNB5YLDJpx/79+3HvvfdiwoQJCa/rvPPOQ7NmzTBnzpyE18UwDMMw9R2+RzNM44LFIpN2vPjii8jPz8dpp52WlPquvvpqPProo0mpi2EYhmHqM3yPZpjGBYtFJmE888wzaNOmDaqrq+PShwz5f+3dX0iTXxzH8c/il2YNuwhRBv6JyIHRcjIvpBtBIVAkIUbg3BipJGTQ3RAhhP5IJSRd6EWQ0pKCoFDICyGQFBFZeaVeLRRS0EVzBSah2UU00selLMePtffr6tl353vO2dWXL8/Z89TK7XbHzHv27Jlqamq2xMrLy3Xt2jXDPF6vN/q5oKBAN2/elMfjkdlsVn5+vgYHBxUKhXT+/HmZzWbZbDYFAoEt89TU1CgQCCgYDMb3QwEASDKhUEg5OTm6fft2NDY+Pq60tDS9fv06Zh41GkgtNItIGKfTqY2NDQ0ODkZjy8vLevXqlS5duhQzb2xsTA6HI64179+/r7Nnz2pqakrV1dVyu93yeDyqr6/Xu3fvdOLECXk8Hm1ubkZz8vLylJ2drdHR0bjWBAAg2WRlZenRo0dqb29XIBDQly9f5Ha71dLSooqKiph51GggtdAsImEyMjJUV1en3t7eaOzJkyfKy8tTeXn5jjkrKyuKRCKyWCxxrVlVVaXLly/r5MmTun79uj5//qzS0lI5nU4VFhbK5/NpdnZWS0tLW/IsFovm5+fjWhMAgGRUVVWlpqYmuVwuNTc368iRI+ro6Ig5nhoNpB6aRSRUU1OThoeHtbCwIEnq6+uT1+uVyWTacfzXr18lSYcOHYprPZvNFr3Ozs6WJJ0+fdoQW15e3pKXkZGh1dXVuNYEACBZdXZ2an19Xc+fP1d/f7/S09NjjqVGA6mHZhEJZbfbdebMGT1+/Fhv377V9PT0lv8wbHfs2DGZTCaFw+Fd597Y2DDEDh48GL3+1ZDuFNv+GO5Pnz4pKytr1zUBAPiXBINBLS4u6vv375qbm/vjWGo0kHpoFpFwjY2N6uvrU29vryorK5WbmxtzbFpamoqKijQzM2P4bvuxlPfv3+/L/tbW1hQMBmW32/dlPgAAksG3b99UX1+vixcv6saNG2psbDTc1fsdNRpIPTSLSLi6ujp9+PBBDx8+/OODbX45d+6cxsbGDPGBgQG9ePFCwWBQt27d0szMjObn56NHXOM1MTGh9PR0lZWV/dU8AAAkk7a2NkUiET148EA+n0+FhYW71mlqNJBaaBaRcEePHtWFCxdkNptVW1u76/iGhgYNDQ0pEolsiVdXV+vu3bsqKirSmzdv1N3drcnJSfn9/r/a39OnT+VyuXT48OG/mgcAgGQxMjKirq4u+f1+ZWZm6sCBA/L7/RodHVVPT0/MPGo0kFpMm78/nxhIkIqKCp06dWrPL9Z1Op0qKSlRa2urpJ/vcCouLlZXV9e+7uvjx4+yWq0KBAI6fvz4vs4NAMC/iBoNpA7uLCKhwuGwXr58qZGREV25cmXPeffu3ZPZbE7gzn6am5tTd3c3RQgAgD2iRgOp47//ewP4t9ntdoXDYd25c0dWq3XPeQUFBbp69WoCd/aTw+GI++XCAACkImo0kDo4hgoAAAAAMOAYKgAAAADAgGYRAAAAAGBAswgAAAAAMKBZBAAAAAAY0CwCAAAAAAxoFgEAAAAABjSLAAAAAAADmkUAAAAAgAHNIgAAAADA4Ad1d3vlHvJm2QAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1000x400 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 4), tight_layout=True)\n",
    "ax1 = sim.plot_eps(x=0, ax=ax1)\n",
    "ax2 = sim.plot_eps(z=z_center_slab, ax=ax2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "11abaa92",
   "metadata": {},
   "source": [
    "We will also define an auxiliary function to post process and visualize the results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "b69b3b00",
   "metadata": {},
   "outputs": [],
   "source": [
    "def post_process(sim_data):\n",
    "    \"\"\"Post-process simulation data: compute efficiency, RMSE, and plot diffraction results.\"\"\"\n",
    "    order = TARGET_ORDER\n",
    "    number_of_orders = NUM_TARGET_ORDERS\n",
    "\n",
    "    # Extract data\n",
    "    plot_data = sim_data[\"diffractionmonitor\"]\n",
    "    intensity_measured = plot_data.power\n",
    "    theta, phi = plot_data.angles\n",
    "    theta = theta.isel(f=0)\n",
    "    phi = phi.isel(f=0)\n",
    "    power_values = plot_data.power.isel(f=0)\n",
    "    total_power = 0\n",
    "\n",
    "    # Calculate diffraction orders\n",
    "    order1, power1, desiredPower1 = [], [], []\n",
    "\n",
    "    for xorder in intensity_measured.orders_x:\n",
    "        for yorder in intensity_measured.orders_y:\n",
    "            val = (\n",
    "                sim_data[\"diffractionmonitor\"]\n",
    "                .power.isel(f=0)\n",
    "                .sel(orders_x=xorder, orders_y=yorder)\n",
    "                .values\n",
    "            )\n",
    "            total_power += val\n",
    "            if (abs(xorder) <= order) and (abs(yorder) <= order):\n",
    "                order1.append((int(xorder), int(yorder)))\n",
    "                power1.append(val)\n",
    "                desiredPower1.append(1 / number_of_orders)\n",
    "\n",
    "    rmse = np.sqrt(\n",
    "        (1 / number_of_orders) * np.sum((np.array(power1) - np.sum(power1) / number_of_orders) ** 2)\n",
    "    )\n",
    "    rmse *= 100  # to get percentage\n",
    "\n",
    "    labels1 = [f\"({x},{y})\" for x, y in order1]\n",
    "\n",
    "    # Create a figure with two subplots side by side\n",
    "    fig = plt.figure(figsize=(10, 4))\n",
    "    ax_polar = fig.add_subplot(1, 2, 1, projection=\"polar\")\n",
    "    ax_bar = fig.add_subplot(1, 2, 2)\n",
    "\n",
    "    # --- Polar plot ---\n",
    "    sc = ax_polar.scatter(phi, theta, c=power_values, cmap=\"hot_r\")\n",
    "    fig.colorbar(sc, ax=ax_polar, orientation=\"vertical\", pad=0.1)\n",
    "    ax_polar.set_title(\"Far-Field Diffraction Pattern\", va=\"bottom\")\n",
    "\n",
    "    # --- Bar plot ---\n",
    "    total_power = float(np.sum(power_values))\n",
    "    ax_bar.bar(\n",
    "        range(len(power1)),\n",
    "        100 * np.array(power1) / total_power,\n",
    "        color=\"tab:blue\",\n",
    "        label=\"Measured (nonzero)\",\n",
    "    )\n",
    "    ax_bar.bar(\n",
    "        range(len(desiredPower1)),\n",
    "        np.array(desiredPower1) * 100,\n",
    "        color=\"cyan\",\n",
    "        alpha=0.3,\n",
    "        label=\"Desired\",\n",
    "    )\n",
    "    ax_bar.legend()\n",
    "    ax_bar.set_xticks(range(len(power1)))\n",
    "    ax_bar.set_xticklabels(labels1, rotation=90, fontsize=8)\n",
    "    ax_bar.set_xlabel(\"Diffraction Order (x,y)\")\n",
    "    ax_bar.set_title(\"Diffraction Monitor Power by Order\")\n",
    "\n",
    "    plt.tight_layout()\n",
    "    plt.show()\n",
    "\n",
    "    efficiency = sum(power1) / total_power\n",
    "\n",
    "    print(f\"Efficiency: {efficiency:.2f}\")\n",
    "    print(f\"RMSE: {rmse:.2f}\")\n",
    "\n",
    "    return efficiency, rmse"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9b259c96",
   "metadata": {},
   "source": [
    "## Normalization Simulation\n",
    "\n",
    "We run a simulation with the flat substrate (no grating) to measure the total available\n",
    "transmitted power, `power0`. This serves as our fixed reference for computing efficiency,\n",
    "so the optimization target does not shift as the design changes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "b5eb1bb2",
   "metadata": {
    "lines_to_next_cell": 1
   },
   "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\">15:28:40 -03 </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'normalization'</span> with resource_id                      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-c62df3f4-6b72-479c-b91d-79c32d805a7c'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:28:40 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'normalization'\u001b[0m with resource_id                      \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-c62df3f4-6b72-479c-b91d-79c32d805a7c'\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-c62df3f4-6b72-479c-b91d-79c32d805a7c\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-c62df3f4-6b7</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-c62df3f4-6b72-479c-b91d-79c32d805a7c\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">2-479c-b91d-79c32d805a7c'</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=958435;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c62df3f4-6b72-479c-b91d-79c32d805a7c\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=765888;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c62df3f4-6b72-479c-b91d-79c32d805a7c\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=958435;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c62df3f4-6b72-479c-b91d-79c32d805a7c\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=428800;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c62df3f4-6b72-479c-b91d-79c32d805a7c\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=958435;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c62df3f4-6b72-479c-b91d-79c32d805a7c\u001b\\\u001b[32m-c62df3f4-6b7\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=958435;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c62df3f4-6b72-479c-b91d-79c32d805a7c\u001b\\\u001b[32m2-479c-b91d-79c32d805a7c'\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-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\" 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=537997;https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d109b449e1cd47dd968ca474e385f111",
       "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\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\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\">15:28:44 -03 </span>Estimated 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;36m15:28:44 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated 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\">15:28:46 -03 </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:28:46 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \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>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9a8e30d44e874d249984106fc1ee2716",
       "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\">15:33:11 -03 </span>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:33:11 -03\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \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\">15:33:12 -03 </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:33:12 -03\u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "8e2518a46b494f3a8cb8adbeddd3574c",
       "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\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:33:13 -03 </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">12</span>%, exiting.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:33:13 -03\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m12\u001b[0m%, exiting.                            \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\"></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\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\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\">15:33:14 -03 </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:33:14 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \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\"></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\">             </span>View simulation result at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-c62df3f4-6b72-479c-b91d-79c32d805a7c\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-c62df3f4-6b7</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-c62df3f4-6b72-479c-b91d-79c32d805a7c\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">2-479c-b91d-79c32d805a7c'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=55037;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c62df3f4-6b72-479c-b91d-79c32d805a7c\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=473690;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c62df3f4-6b72-479c-b91d-79c32d805a7c\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=55037;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c62df3f4-6b72-479c-b91d-79c32d805a7c\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=896042;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c62df3f4-6b72-479c-b91d-79c32d805a7c\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=55037;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c62df3f4-6b72-479c-b91d-79c32d805a7c\u001b\\\u001b[4;34m-c62df3f4-6b7\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=55037;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c62df3f4-6b72-479c-b91d-79c32d805a7c\u001b\\\u001b[4;34m2-479c-b91d-79c32d805a7c'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "8fdead731a5d4713b6040f036cee390f",
       "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\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\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\">15:33:17 -03 </span>Loading simulation from simulation_data.hdf5                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:33:17 -03\u001b[0m\u001b[2;36m \u001b[0mLoading simulation from simulation_data.hdf5                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Reference power (power0): 0.9675\n"
     ]
    }
   ],
   "source": [
    "sim_norm = td.Simulation(\n",
    "    size=(length, length, Lz),\n",
    "    grid_spec=td.GridSpec.auto(min_steps_per_wvl=min_steps_per_wvl),\n",
    "    boundary_spec=td.BoundarySpec(\n",
    "        x=td.Boundary(plus=td.Periodic(), minus=td.Periodic()),\n",
    "        y=td.Boundary(plus=td.Periodic(), minus=td.Periodic()),\n",
    "        z=td.Boundary(plus=td.PML(), minus=td.PML()),\n",
    "    ),\n",
    "    structures=[substrate],\n",
    "    monitors=[diffractionmonitor],\n",
    "    sources=[src],\n",
    "    run_time=run_time,\n",
    ")\n",
    "\n",
    "sim_data_norm = web.run(sim_norm, task_name=\"normalization\", verbose=True)\n",
    "power0 = float(np.sum(sim_data_norm[\"diffractionmonitor\"].power.values))\n",
    "print(f\"Reference power (power0): {power0:.4f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7bdd77f1",
   "metadata": {},
   "source": [
    "## Objective Function\n",
    "\n",
    "Next, we will define a function to analyze the [DiffractionMonitor](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.DiffractionMonitor.html) data and evaluate the total power inside the desired diffraction orders, along with a penalty to ensure equal distribution of the intensities."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fb589bea",
   "metadata": {},
   "outputs": [],
   "source": [
    "def intensity_diff_fn(sim_data, weight_outside=0.1):\n",
    "    \"\"\"Returns a measure of the difference between desired and target intensity patterns.\"\"\"\n",
    "    power = sim_data[\"diffractionmonitor\"].power\n",
    "\n",
    "    # Total power at desired orders\n",
    "    total_power = 0.0\n",
    "    for ordersx in power.orders_x:\n",
    "        for ordersy in power.orders_y:\n",
    "            power_xy = power.sel(orders_x=ordersx, orders_y=ordersy)\n",
    "            if abs(ordersx) <= TARGET_ORDER and abs(ordersy) <= TARGET_ORDER:\n",
    "                total_power = total_power + power_xy\n",
    "\n",
    "    # Adding the penalty for uneven distribution of the power, and also power at undesired orders\n",
    "    cost = 0.0\n",
    "    for ordersx in power.orders_x:\n",
    "        for ordersy in power.orders_y:\n",
    "            power_xy = power.sel(orders_x=ordersx, orders_y=ordersy)\n",
    "            if abs(ordersx) <= TARGET_ORDER and abs(ordersy) <= TARGET_ORDER:\n",
    "                cost = cost + (total_power / NUM_TARGET_ORDERS - power_xy) ** 2\n",
    "            else:\n",
    "                cost = cost + weight_outside * anp.abs(power_xy) ** 2\n",
    "\n",
    "    return cost"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "66de2c47",
   "metadata": {},
   "source": [
    "### Loss Function\n",
    "\n",
    "Finally, we can create our loss function, which takes as input the parameter list and beta, creates and runs the simulation object, processes the data, and returns the loss, including fabrication constraint penalties. This is the function that will be differentiated using autograd.\n",
    "\n",
    "It extracts the diffraction orders from the [DiffractionMonitor](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.DiffractionMonitor.html), and first calculates the total power as the sum of the intensities of all desired diffraction orders. Next, the function adds to the cost function a penalty for the difference of each order with respect to the mean power, to enforce homogeneity. Finally, the power outside the desired orders is accounted for as a penalty to enforce high efficiency."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "61284574",
   "metadata": {},
   "outputs": [],
   "source": [
    "def loss_fn(params, beta, verbose=False):\n",
    "    \"\"\"Loss function for the design, the difference in intensity + the feature size penalty.\"\"\"\n",
    "    sim = make_sim(params, beta=beta)\n",
    "    sim_data = web.run(sim, task_name=\"diffractive_beam_splitter\", verbose=verbose)\n",
    "\n",
    "    cost = intensity_diff_fn(sim_data)\n",
    "    density = filter_project(params, beta)\n",
    "    fab_penalty = erosion_dilation_penalty(density)\n",
    "\n",
    "    res = cost**-1 - FAB_WEIGHT * fab_penalty\n",
    "\n",
    "    # Extract per-order powers for monitoring (detached from autograd graph).\n",
    "    power_da = sim_data[\"diffractionmonitor\"].power.isel(f=0)\n",
    "    pv = power_da.values\n",
    "    orders_x = power_da.orders_x.values\n",
    "    orders_y = power_da.orders_y.values\n",
    "\n",
    "    order_powers = []\n",
    "    order_labels = []\n",
    "    target_sum = 0.0\n",
    "    total_power = 0.0\n",
    "    for i, ox in enumerate(orders_x):\n",
    "        for j, oy in enumerate(orders_y):\n",
    "            v = _to_float(pv[i, j])\n",
    "            total_power += v\n",
    "            if abs(ox) <= TARGET_ORDER and abs(oy) <= TARGET_ORDER:\n",
    "                order_powers.append(v)\n",
    "                order_labels.append((int(ox), int(oy)))\n",
    "                target_sum += v\n",
    "\n",
    "    aux_data = dict(\n",
    "        objective=_to_float(cost),\n",
    "        fab_penalty=_to_float(fab_penalty),\n",
    "        efficiency=target_sum / total_power if total_power > 0 else 0.0,\n",
    "        order_powers=np.array(order_powers),\n",
    "        order_labels=order_labels,\n",
    "    )\n",
    "\n",
    "    return res, aux_data\n",
    "\n",
    "\n",
    "loss_fn_val_grad = value_and_grad(loss_fn, has_aux=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4c8c6d18",
   "metadata": {},
   "source": [
    "Before running the optimization, we first check that everything is working correctly."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "987c87e5",
   "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\">15:33:18 -03 </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'diffractive_beam_splitter'</span> with resource_id          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-9bfacac4-4515-4955-a1b0-dceb71dcccb8'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:33:18 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'diffractive_beam_splitter'\u001b[0m with resource_id          \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-9bfacac4-4515-4955-a1b0-dceb71dcccb8'\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-9bfacac4-4515-4955-a1b0-dceb71dcccb8\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-9bfacac4-451</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-9bfacac4-4515-4955-a1b0-dceb71dcccb8\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">5-4955-a1b0-dceb71dcccb8'</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=995685;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9bfacac4-4515-4955-a1b0-dceb71dcccb8\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=272153;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9bfacac4-4515-4955-a1b0-dceb71dcccb8\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=995685;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9bfacac4-4515-4955-a1b0-dceb71dcccb8\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=729351;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9bfacac4-4515-4955-a1b0-dceb71dcccb8\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=995685;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9bfacac4-4515-4955-a1b0-dceb71dcccb8\u001b\\\u001b[32m-9bfacac4-451\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=995685;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9bfacac4-4515-4955-a1b0-dceb71dcccb8\u001b\\\u001b[32m5-4955-a1b0-dceb71dcccb8'\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-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\" 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=535998;https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "15265efee80e4a49bec5ef632d538820",
       "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\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9eb208c1c1724efc8597a7869793d66f",
       "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\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\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\">15:33:26 -03 </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.754</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;36m15:33:26 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m0.754\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\">15:33:29 -03 </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:33:29 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \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>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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       "version_minor": 0
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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\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:33:52 -03 </span>status = preprocess                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:33:52 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \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\"></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\">15:33:57 -03 </span>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:33:57 -03\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \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\">15:33:58 -03 </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:33:58 -03\u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:34:31 -03 </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">12</span>%, exiting.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:34:31 -03\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m12\u001b[0m%, exiting.                            \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\"></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\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\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\">15:34:32 -03 </span>status = postprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:34:32 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "495e3d09aab94fd39b565656388b5ea6",
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       "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\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:34:41 -03 </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:34:41 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \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\"></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\">15:34:43 -03 </span>View simulation result at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-9bfacac4-4515-4955-a1b0-dceb71dcccb8\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-9bfacac4-451</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-9bfacac4-4515-4955-a1b0-dceb71dcccb8\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">5-4955-a1b0-dceb71dcccb8'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:34:43 -03\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=334677;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9bfacac4-4515-4955-a1b0-dceb71dcccb8\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=912016;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9bfacac4-4515-4955-a1b0-dceb71dcccb8\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=334677;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9bfacac4-4515-4955-a1b0-dceb71dcccb8\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=254707;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9bfacac4-4515-4955-a1b0-dceb71dcccb8\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=334677;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9bfacac4-4515-4955-a1b0-dceb71dcccb8\u001b\\\u001b[4;34m-9bfacac4-451\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=334677;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9bfacac4-4515-4955-a1b0-dceb71dcccb8\u001b\\\u001b[4;34m5-4955-a1b0-dceb71dcccb8'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c76690d50f5d49cd87473229df22145a",
       "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\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\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\">15:34:47 -03 </span>Loading simulation from simulation_data.hdf5                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:34:47 -03\u001b[0m\u001b[2;36m \u001b[0mLoading simulation from 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\">15:34:54 -03 </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:34:54 -03\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks.                       \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\">15:35:11 -03 </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.786</span> for the whole batch.                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:35:11 -03\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.786\u001b[0m for the whole batch.                \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>Use <span style=\"color: #008000; text-decoration-color: #008000\">'Batch.real_cost()'</span> to get the billed FlexCredit cost after    \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>completion.                                                        \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after    \n",
       "\u001b[2;36m             \u001b[0mcompletion.                                                        \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "0087e6f290084130a93c49c9874c23b6",
       "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\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:46:52 -03 </span>Batch complete.                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:46:52 -03\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                                    \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\"></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\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5752c0470ea64f11bf85413f81d978e9",
       "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\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loss value (maximize): 0.8792\n",
      "  Cost (minimize): 9.2696e-01\n",
      "  Fab penalty: 9.9816e-01\n",
      "  Efficiency: 0.9999\n"
     ]
    }
   ],
   "source": [
    "(val, grad), aux_data = loss_fn_val_grad(params0, beta0, verbose=True)\n",
    "\n",
    "print(f\"Loss value (maximize): {val:.4f}\")\n",
    "print(f\"  Cost (minimize): {aux_data['objective']:.4e}\")\n",
    "print(f\"  Fab penalty: {aux_data['fab_penalty']:.4e}\")\n",
    "print(f\"  Efficiency: {aux_data['efficiency']:.4f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3f6af59f",
   "metadata": {},
   "source": [
    "It is also a good sanity check to look at the gradients and confirm they are not all 0."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "00fde480",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Gradient norm: 1.271e-03\n",
      "Gradient range: [-1.072e-05, 5.437e-06]\n"
     ]
    }
   ],
   "source": [
    "print(f\"Gradient norm: {np.linalg.norm(grad):.3e}\")\n",
    "print(f\"Gradient range: [{np.min(grad):.3e}, {np.max(grad):.3e}]\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "07fffc3a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Efficiency: 1.00\n",
      "RMSE: 13.68\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(1.0, 13.679595136005965)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "post_process(aux_data.get(\"sim_data\", sim_data_norm))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "469f6799",
   "metadata": {},
   "source": [
    "## Optimize Device\n",
    "\n",
    "Now we are finally ready to optimize our device.\n",
    "\n",
    "As in the other tutorials, we use the implementation of \"Adam Optimization\" from `optax`. We negate the gradient at each step since we are maximizing the objective (which is `cost^(-1)`).\n",
    "\n",
    "The binarization strength `beta` is gradually increased over the course of the optimization, encouraging the design to converge toward a fabricable binary structure."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "67ea4f4b",
   "metadata": {},
   "outputs": [],
   "source": [
    "num_steps = 80\n",
    "learning_rate = 0.3\n",
    "optimizer = optax.adam(learning_rate=learning_rate)\n",
    "\n",
    "params = params0.copy()\n",
    "opt_state = optimizer.init(params)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "51ad6ff9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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YtWsXGjRogO3bt0OpVCIwMFDtPdTFxQU+Pj6IiIjA5MmT8z2GXC6HXC4HkJ1NnpSUBKVSiaZNm+LMmTNqffV5zgBgzJgx6NKlCzp16lTgvvrS9fdS23YiIiIqGQzcEhERlSMxMTFITk6Gk5OT1u25a2V6eXlp7Xfs2DFMnz4dkZGRSE1NVdumT+D25s2bAKBWT1alVq1a+PPPP9XazMzM4OjoqNZmZ2enUae3INu2bUN6erpGmQQA6NKlC7799lt89tlnaNKkCQCgevXqmDt3LiZOnCh97RkA9u7dCwBqQZLr16+jffv2+OGHH9CzZ08AwNtvvy3VgN29eze6dOkiBcFVXxXPSVVbM/fXx4vb1atXIYTA1KlTMXXqVK19EhIS9Arcurq6SnV+dVXUa2RmZobw8HAEBgZKz4WpqSnmz5+PuXPnqj2X5ubmOh2nMGPqSvXVf11LSQDZ5RLCwsKwceNGTJ48GXfu3MHRo0cxZswYKTio0qpVq0LPydzcHJmZmVq3paenF/jaLI7rqeuY+shZ/gQAvL29YWRkhBs3bgDIfg8VQmj0U8lZaiY/69evx9dff41Lly7h+fPnUnvu91x9nrPNmzfj+PHj+Pfffwu9b2GUxfcuIiIiUsfALRERUTmiVCrh5OSEn376Sev23MFQbX90X7t2DR06dECtWrWwcOFCVKlSBSYmJti1axfCwsKgVCqLZe455Q5I6eunn36CjY0NunbtqnX76NGjMWTIEJw9exYmJiZo1KgRVq9eDQCoUaOG1G/Xrl1o1aqVWsB63bp1SE9P1xhbtVjUsWPH0KVLF9jb28PU1BT379/XOL6qzc3NrWgnWkiq53D8+PFaM66B7CC2PtLS0pCcnKxTXxcXFwAwyDWqW7cu/v33X1y4cAGPHz9GnTp1YG5ujuDgYGkhNSA7sJx7Qby8jqPrmLqqVasWgOyF7nLWOc2Pr68vatWqhZ9//hmTJ0/Gzz//DCGE1g8jHjx4oFO91IoVK0qBUldXVygUCiQkJKh94JOZmYnExMQCr3txXM/CjFlUORd2BLJ/N2QyGXbv3q31fUiXgP2GDRswePBgvPPOO5gwYQKcnJwgl8sRGhqKa9euqfXV5zmbMGECevfuDRMTEyngnJSUBAC4ffs2MjMzDXKNVB/A5PV7qfq9JSIiotLDwC0REVEZlDvYoOLt7Y0DBw6gVatWemdC7dixAxkZGfj999/VVhLXtiJ6XvPIzcPDA0D2YmhvvPGG2rbLly9L2w3p/v37iIiIwODBg/MNLlhaWsLPz096fODAAZibm0uZcEII7NmzB+PHj1fbLz4+HkIIjaCLKrsuKysLAGBkZIT69etLJRhyOnnyJKpVq1biC5OpvnZtbGwsLaJmKJs3b8aQIUN06iuEAGC4aySTyVC3bl3p8a5du6BUKtXOsVGjRoiIiEBKSora4lcnT56Uthd2TF116dIFcrkcGzZs0HmBMiA763bq1Kk4e/YsNm7cCB8fHzRr1kyjX7NmzaTs9vxMnz4dM2bMAPDf+f7999946623pD5///03lEplgQHm4riehR2zMGJiYtSyXq9evQqlUimVofD29oYQAl5eXmof3miT1/vfL7/8gmrVqmH79u1qfaZPn67RV5/n7Pbt29i4cSM2btyo0a9JkyZo2LAhoqOjCxyzIO7u7nB0dNT6e5l7kTUiIiIqHUalPQEiIiLSZGlpCeC/LCuVwMBAKBQKrSuMZ2VlafTXRpVlpgqqAdnlEdauXat1HrqM2bRpUzg5OWHZsmVqX7vdvXs3Ll68iICAgALHKKxNmzZBqVRqzUzMy/Hjx7F9+3YMGzZMyq49deoUEhISNOZYo0YNCCGwZcsWtfaff/4ZANC4cWOprVevXjh16pRaAOTy5cs4dOgQevfuXehzKyonJye0a9cOy5cv15pN9+DBA73HVtW41eUnp8Jco0uXLuHWrVv5ziMtLQ1Tp06Fq6sr+vXrp3YchUKBFStWSG0ZGRlYu3YtmjdvjipVqhR6TF1VqVIFw4cPx759+/Dtt99qbFcqlfj6669x584dtXbVa3jatGmIjo7O8zX9008/6XTd33//fWmfN954A/b29li6dKnaWEuXLoWFhYXa6/7hw4e4dOmSWvmU4rieRRmzIEuWLFF7rHoeunTpAgB49913IZfLMXPmTLX3QCD7PTExMVF6bGlpqTW7XNt76MmTJxEZGanRV5/n7Ndff9X46dOnDwDghx9+QFhYWKGuicq1a9c0MoJ79uyJnTt34vbt21LbwYMHceXKlVJ57yIiIiJ1zLglIiIqg3x9fQFkL1Dj7+8vLWLUtm1bjBgxAqGhoYiOjkanTp1gbGyMmJgYbN26FYsXL0avXr3yHbtTp04wMTFBt27dMGLECDx9+hQrV66Ek5OTRpDP19cXS5cuxZw5c1C9enU4OTlpZNQC2ZmdX375JYYMGYK2bduiX79+iI+Px+LFi+Hp6Yng4GDDXZwXfvrpJ7i5uaFdu3Zat9+8eROBgYHo3r07XFxccP78eSxbtgwNGjTAvHnzpH7h4eHw9PREnTp11PYfPHgwvvrqK4wYMQJRUVGoW7cuzpw5g1WrVqFu3bro0aOH1HfkyJFYuXIlAgICMH78eBgbG2PhwoVwdnbGp59+avBz18WSJUvw+uuvo379+hg+fDiqVauG+Ph4REZG4s6dO/jnn3/0GlefGrdA4a5R7dq10bZtWxw+fFhqCwwMhJubG+rUqYOUlBSsWbMG169fR3h4uFq2bvPmzdG7d2+EhIQgISEB1atXx/r163Hjxg2pTEZhxyyMr7/+GteuXcOYMWOwfft2dO3aFXZ2drh16xa2bt2KS5cuoW/fvmr7eHl5oWXLlvjf//4HAHkGbvWtcTt79myMGjUKvXv3hr+/P44ePYoNGzZg7ty5sLe3l/p+9913mDlzJiIiIqTfq+K4noUZs7BiY2PRvXt3dO7cGZGRkdiwYQP69++Phg0bAsjOuJ0zZw5CQkJw48YNvPPOO7CyskJsbCx+/fVXfPDBB1L2va+vLzZv3oxx48ahWbNmqFixIrp164auXbti+/bt6NGjBwICAhAbG4tly5ahTp06ePr0qdp89HnO3nnnHY02VYZtly5dUKlSJak9OTlZCk4fO3YMQPbzaGtrC1tbW4wePVrqq1rsTlV+AQAmT56MrVu3on379vjkk0/w9OlTLFiwAPXr19c5s56IiIiKkSAiIqJStXbtWgFAnDp1SmrLysoSH3/8sXB0dBQymUzk/l/2ihUrhK+vrzA3NxdWVlaifv36YuLEieLevXtSHw8PDxEQEKD1mL///rto0KCBMDMzE56enuLLL78Ua9asEQBEbGys1C8uLk4EBAQIKysrAUC0bdtWCCFERESEACAiIiLUxt28ebNo3LixMDU1Ffb29mLAgAHizp07an0GDRokLC0tNeY0ffp0jfPMy6VLlwQAMW7cuDz7PHr0SLz99tvCxcVFmJiYCC8vLzFp0iSRkpKi1q9p06Zi5MiRWse4c+eOGDp0qPDy8hImJibC1dVVDB8+XDx48ECj7+3bt0WvXr2EtbW1qFixoujatauIiYnR6Xy0iY2N1XqNC+PatWvi/fffFy4uLsLY2Fi4u7uLrl27il9++UXjOAsWLFDbV/Ucb926Ve/j56brNcr5WlP58ssvRa1atYSZmZmws7MT3bt3F1FRUVqPk5aWJsaPHy9cXFyEqampaNasmdizZ49Gv8KMWRhZWVli1apVonXr1sLGxkYYGxsLDw8PMWTIkDzHX7JkiQAgXnvttSIfX5sVK1aImjVrChMTE+Ht7S3CwsKEUqlU66P6Hcz9miuO66nrmLpSzf3ChQuiV69ewsrKStjZ2YnRo0eLtLQ0jf7btm0Tr7/+urC0tBSWlpaiVq1aYtSoUeLy5ctSn6dPn4r+/fsLW1tbAUB4eHgIIYRQKpVi3rx5wsPDQ5iamorGjRuLnTt3ikGDBkl9DE11frnfe1S/v9p+cs/Fw8ND6/z+/fdf0alTJ2FhYSFsbW3FgAEDRFxcXLGcBxERERWOTIhc3xEiIiIiekXEx8fD1dUVO3fuVKv/WRbcuHEDXl5eatmPRERERET06mCNWyIiInplJScnY9q0aWjfvn1pT4WIiIiIiEgNa9wSERHRK6tGjRrSSu5ERERERERlCTNuiYiIiIiIiIiIiMoY1rglIiIiIiIiIiIiKmOYcUtERERERERERERUxjBwS0RERERERERERFTGMHBLREREREREREREVMYwcEtERERERERERERUxjBwS0RERERERERERFTGMHBLREREREREREREVMYwcEtERERERERERERUxjBwS0RERERERERERFTGMHBLREREREREREREVMYwcEtEJW7GjBmQyWR4+PBhgX09PT0xePDg4p9ULuvWrYNMJsONGzdK/NgAMH/+fNSqVQtKpRIAcOPGDchkMnz11VcF7qu6vvoozHNTHrxM5/PZZ5+hefPmpT0NIiIi0gPvf4mISB8M3BKRQZw/fx7vvfce3N3dYWpqCjc3NwwYMADnz58v7anla968efjtt99KexpqUlJS8OWXX2LSpEkwMuLbdFmzceNGLFq0SKP93r17mDFjBqKjo4vluGPHjsU///yD33//vVjGJyIiosLh/a9hXbt2DSNGjEC1atVgZmYGa2trtGrVCosXL0ZaWlppT6/cy+selojKNkYEiKjItm/fjiZNmuDgwYMYMmQIvv/+ewwbNgwRERFo0qQJfv31V73Hvnz5MlauXGnA2arL68Z14MCBSEtLg4eHR7EdOy9r1qxBVlYW+vXrp9f+U6ZM4c1tMcovcDtz5sxiC9y6uLjg7bff1inrmoiIiIoX738NKzw8HPXr18eWLVvQrVs3fPvttwgNDUXVqlUxYcIEfPLJJyU+p5cNA7dE5VOF0p4AEZVv165dw8CBA1GtWjX88ccfcHR0lLZ98sknaN26NQYOHIizZ8+iWrVqhR7f1NTUkNPVmVwuh1wuL5Vjr127Ft27d4eZmZle+1eoUAEVKpTtt/fU1FRYWFiU9jTKhWfPnsHS0hIAEBgYiN69e+P69et6/T4RERFR0fH+17BiY2PRt29feHh44NChQ3B1dZW2jRo1ClevXkV4eHiJz4uIqCxgxi0RFcmCBQuQmpqKFStWqN20AkClSpWwfPlyPHv2DPPnz9fY9+HDhwgMDIS1tTUcHBzwySefID09Xa2PthpfSUlJGDt2LKpUqQJTU1NUr14dX375pVQPVkWpVGLx4sWoX78+zMzM4OjoiM6dO+Pvv/8GAMhkMjx79gzr16+HTCaDTCaTjpW7xlfXrl3zvPH28/ND06ZN1do2bNgAX19fmJubw97eHn379sXt27fzvZZA9o3r2bNn0bFjxzz7rFixAt7e3jA1NUWzZs1w6tQpte3aatympaVhzJgxqFSpEqysrNC9e3fcvXsXMpkMM2bM0DhGUlISBg8eDFtbW9jY2GDIkCFITU3V6KfLebZr1w716tXD6dOn0aZNG1hYWGDy5MkFXgtD0uW1BhR8Pu3atUN4eDhu3rwpvWY8PT1x+PBhNGvWDAAwZMgQadu6deukfU+ePInOnTvDxsYGFhYWaNu2LY4dO6Z2fNVzd+HCBfTv3x92dnZ4/fXXpe2q18X//vc/Q14eIiIiKgTe/xr2/nf+/Pl4+vQpVq9erRa0Valevbpaxm1WVhZmz54t3Q97enpi8uTJyMjI0LiOXbt2xeHDh9G0aVOYm5ujfv36OHz4MIDsrGnVdfL19UVUVJTa/oMHD0bFihVx/fp1+Pv7w9LSEm5ubpg1axaEEGp9nz17hk8//VR6fmrWrImvvvpKo59MJsPo0aPx22+/oV69ejA1NUXdunWxZ88ejfO+e/cuhg4dCmdnZ6nfmjVr1PocPnwYMpkMW7Zswdy5c1G5cmWYmZmhQ4cOuHr1qtQvr3tYlW+//RZ169aFhYUF7Ozs0LRpU2zcuFHLs0VEJa1sp2QRUZm3Y8cOeHp6onXr1lq3t2nTBp6enlo/JQ8MDISnpydCQ0Nx4sQJfPPNN3j8+DF++OGHPI+XmpqKtm3b4u7duxgxYgSqVq2K48ePIyQkBPfv31f7+s+wYcOwbt06dOnSBUFBQcjKysLRo0dx4sQJNG3aFD/++COCgoLw2muv4YMPPgAAeHt7az1unz598P777+PUqVNSgA4Abt68iRMnTmDBggVS29y5czF16lQEBgYiKCgIDx48wLfffos2bdogKioKtra2eZ7f8ePHAQBNmjTRun3jxo148uQJRowYAZlMhvnz5+Pdd9/F9evXYWxsnOe4gwcPxpYtWzBw4EC0aNECR44cQUBAQJ79AwMD4eXlhdDQUJw5cwarVq2Ck5MTvvzyS73OMzExEV26dEHfvn3x3nvvwdnZOc9jZ2Rk4MmTJ3luz6lSpUo69dPltabL+Xz++edITk7GnTt3EBYWBgCoWLEiateujVmzZmHatGn44IMPpN+Hli1bAgAOHTqELl26wNfXF9OnT4eRkRHWrl2LN954A0ePHsVrr72mNt/evXvDx8cH8+bNU7vht7Gxgbe3N44dO4bg4GCdzp2IiIgMi/e/hr3/3bFjB6pVqybdNxUkKCgI69evR69evfDpp5/i5MmTCA0NxcWLFzVKVFy9ehX9+/fHiBEj8N577+Grr75Ct27dsGzZMkyePBkjR44EAISGhiIwMBCXL19WW2NCoVCgc+fOaNGiBebPn489e/Zg+vTpyMrKwqxZswAAQgh0794dERERGDZsGBo1aoS9e/diwoQJuHv3rnTPqPLnn39i+/btGDlyJKysrPDNN9+gZ8+euHXrFhwcHAAA8fHxaNGihRTodXR0xO7duzFs2DCkpKRg7NixamN+8cUXMDIywvjx45GcnIz58+djwIABOHnyJADkeQ8LACtXrsSYMWPQq1cv6YOEs2fP4uTJk+jfv79OzwkRFSNBRKSnpKQkAUC8/fbb+fbr3r27ACBSUlKEEEJMnz5dABDdu3dX6zdy5EgBQPzzzz9Sm4eHhxg0aJD0ePbs2cLS0lJcuXJFbd/PPvtMyOVycevWLSGEEIcOHRIAxJgxYzTmo1QqpX9bWlqqja+ydu1aAUDExsYKIYRITk4Wpqam4tNPP1XrN3/+fCGTycTNmzeFEELcuHFDyOVyMXfuXLV+586dExUqVNBoz23KlCkCgHjy5Ilae2xsrAAgHBwcxKNHj6T2//3vfwKA2LFjh9Smur4qp0+fFgDE2LFj1cYcPHiwACCmT5+use/QoUPV+vbo0UM4ODhIjwtznm3bthUAxLJly/I9dxXVtdflpyC6vtYKcz4BAQHCw8ND41inTp0SAMTatWvV2pVKpfDx8RH+/v5qr73U1FTh5eUl3nzzTY359uvXL89z6tSpk6hdu3aB505ERESGx/tfw97/Jicn63Q9VaKjowUAERQUpNY+fvx4AUAcOnRIavPw8BAAxPHjx6W2vXv3CgDC3Nxcmr8QQixfvlwAEBEREVLboEGDBADx8ccfS21KpVIEBAQIExMT8eDBAyGEEL/99psAIObMmaM2p169egmZTCauXr0qtQEQJiYmam3//POPACC+/fZbqW3YsGHC1dVVPHz4UG3Mvn37ChsbG5GamiqEECIiIkIAELVr1xYZGRlSv8WLFwsA4ty5c1JbXvewb7/9tqhbt65GOxGVDSyVQER6U2VFWllZ5dtPtT0lJUWtfdSoUWqPP/74YwDArl278hxr69ataN26Nezs7PDw4UPpp2PHjlAoFPjjjz8AANu2bYNMJsP06dM1xshdRkAX1tbW6NKlC7Zs2aKWAbl582a0aNECVatWBZD9lSulUonAwEC1+bm4uMDHxwcRERH5HicxMREVKlSQPgHPrU+fPrCzs5MeqzI9rl+/nueYqq9eqTIKVFTXW5sPP/xQ7XHr1q2RmJgoPYeFPU9TU1MMGTIkz+Pl5O/vj/379+v0o6uCXmtFfd7yEx0djZiYGPTv3x+JiYnS2M+ePUOHDh3wxx9/aHzNMff1z0n12iciIqKSx/tfw97/qq5PQddTRXWdxo0bp9b+6aefAoBGlnOdOnXg5+cnPW7evDkA4I033pDmn7Nd2z316NGjpX+rMmAzMzNx4MABaU5yuRxjxozRmJMQArt371Zr79ixo1qWc4MGDWBtbS0dWwiBbdu2oVu3bhBCqF1Tf39/JCcn48yZM2pjDhkyBCYmJtJjXf5GULG1tcWdO3c0yq8RUdnAUglEpDfVDVZBX2vP6wbXx8dH7bG3tzeMjIykulraxMTE4OzZsxr1xFQSEhIAZC8a4ebmBnt7+3znVhh9+vTBb7/9hsjISLRs2RLXrl3D6dOn1b6eFhMTAyGExrmp5FfOQBc5bzABSEHcx48f57nPzZs3YWRkBC8vL7X26tWr63Uca2vrQp+nu7u72s1kflxdXbXWNyuKgl5rxfm8xcTEAAAGDRqUZ5/k5GS1gHzu5yonIYRef3wRERFR0fH+17D3v9bW1gAKvp4qqvva3PexLi4usLW1xc2bN9Xac9/T2tjYAACqVKmitT33PbWRkZFGnd8aNWoAgPSc3bx5E25ubhrPde3ataXt+c0JyL7XVh37wYMHSEpKwooVK7BixQqNvsB/z3leY+ryN4LKpEmTcODAAbz22muoXr06OnXqhP79+6NVq1YF7ktExY+BWyLSm42NDVxdXXH27Nl8+509exbu7u7SjVledAlGKZVKvPnmm5g4caLW7aobqeLQrVs3WFhYYMuWLWjZsiW2bNkCIyMj9O7dW21+MpkMu3fv1roqb16ZtCoODg7IysrCkydPtGYe5LXSr8i18EFRFXScwp6nubm5zsdOS0tDcnKyTn1dXFx0Hjen3K+1oj5v+VFl0y5YsACNGjXS2qcw1+vx48c61/YlIiIiw+L9r2Hvf62treHm5oZ///23UPPS9UPsvO5pS+qeWp9jq+4d33vvvTw/+G/QoEGhxsxP7dq1cfnyZezcuRN79uzBtm3b8P3332PatGmYOXNmgfsTUfFi4JaIiqRr165YuXIl/vzzT7z++usa248ePYobN25gxIgRGttiYmLUMguvXr0KpVKptsJpbt7e3nj69Ck6duyY77y8vb2xd+9ePHr0KN+sg8JkLlpaWqJr167YunUrFi5ciM2bN6N169Zwc3NTO64QAl5eXnrdRNeqVQsAEBsbq3FDpi8PDw8olUrExsaqZULkXGm2sIp6nvnZvHmzzmUVdL25Lui1Vpjzyes1k1e76qtw1tbWBb5udREbG4uGDRsWeRwiIiLSD+9/DXv/27VrV6xYsQKRkZFqZQ20Ud3XxsTESBmtQPZiXklJSfDw8Cj08fOjVCpx/fp1tfO6cuUKAEjPmYeHBw4cOKCReHHp0iVpe2E4OjrCysoKCoXCIPeOKvk975aWlujTpw/69OmDzMxMvPvuu5g7dy5CQkJgZmZmsDkQUeGxxi0RFcmECRNgbm6OESNGIDExUW3bo0eP8OGHH8LCwgITJkzQ2HfJkiVqj7/99lsAQJcuXfI8XmBgICIjI7F3716NbUlJScjKygIA9OzZE0IIrZ8S5wz2WVpaIikpKe8TzKVPnz64d+8eVq1ahX/++Qd9+vRR2/7uu+9CLpdj5syZGkFFIYTGNcpNdbP6999/6zyngvj7+wMAvv/+e7V21fXWR1HPMz/FUeO2oNdaYc7H0tJSa0awpaUlAGi8nnx9feHt7Y2vvvoKT58+1djvwYMHOp9HcnIyrl27pvOqy0RERGR4vP817P3vxIkTYWlpiaCgIMTHx2tsv3btGhYvXgwAeOuttwBArVQDACxcuBAAEBAQoPN56eq7776T/i2EwHfffQdjY2N06NBBmpNCoVDrBwBhYWGQyWT5PrfayOVy9OzZE9u2bdOaiVyYe8ec8rqHzf38mJiYoE6dOhBC4Pnz53odi4gMhxm3RFQkPj4+WL9+PQYMGID69etj2LBh8PLywo0bN7B69Wo8fPgQP//8s1oBfpXY2Fh0794dnTt3RmRkJDZs2ID+/fvnm004YcIE/P777+jatSsGDx4MX19fPHv2DOfOncMvv/yCGzduoFKlSmjfvj0GDhyIb775BjExMejcuTOUSiWOHj2K9u3bS4sM+Pr64sCBA1i4cCHc3Nzg5eUlLU6gzVtvvQUrKyuMHz9euqnKydvbG3PmzEFISAhu3LiBd955B1ZWVoiNjcWvv/6KDz74AOPHj89z/GrVqqFevXo4cOAAhg4dWtDl14mvry969uyJRYsWITExES1atMCRI0ekbAF96qUW9TzzUxw1bgt6rRXmfHx9fbF582aMGzcOzZo1Q8WKFdGtWzd4e3vD1tYWy5Ytg5WVFSwtLdG8eXN4eXlh1apV6NKlC+rWrYshQ4bA3d0dd+/eRUREBKytrbFjxw6dzuPAgQMQQuDtt9826PUhIiIi3fH+17D3v97e3ti4cSP69OmD2rVr4/3330e9evWQmZmJ48ePY+vWrRg8eDAAoGHDhhg0aBBWrFiBpKQktG3bFn/99RfWr1+Pd955B+3bt8/vqSs0MzMz7NmzB4MGDULz5s2xe/duhIeHY/LkyVLN4W7duqF9+/b4/PPPcePGDTRs2BD79u3D//73P4wdO1br66AgX3zxBSIiItC8eXMMHz4cderUwaNHj3DmzBkcOHAAjx49KvSYed3DdurUCS4uLmjVqhWcnZ1x8eJFfPfddwgICNB50TgiKkaCiMgAzp49K/r16ydcXV2FsbGxcHFxEf369RPnzp3T6Dt9+nQBQFy4cEH06tVLWFlZCTs7OzF69GiRlpam1tfDw0MMGjRIre3JkyciJCREVK9eXZiYmIhKlSqJli1biq+++kpkZmZK/bKyssSCBQtErVq1hImJiXB0dBRdunQRp0+flvpcunRJtGnTRpibmwsA0rHWrl0rAIjY2FiN+Q8YMEAAEB07dszzemzbtk28/vrrwtLSUlhaWopatWqJUaNGicuXLxd4LRcuXCgqVqwoUlNTpbbY2FgBQCxYsECjPwAxffp06bHq+ub07NkzMWrUKGFvby8qVqwo3nnnHXH58mUBQHzxxRca+z548EBt/7yuhy7n2bZtW1G3bt0Cz7s4FOa1JoRu5/P06VPRv39/YWtrKwAIDw8Padv//vc/UadOHVGhQgUBQKxdu1baFhUVJd59913h4OAgTE1NhYeHhwgMDBQHDx7UmG/u66/Sp08f8frrrxf9whAREVGR8f5XXVHuf4UQ4sqVK2L48OHC09NTmJiYCCsrK9GqVSvx7bffivT0dKnf8+fPxcyZM4WXl5cwNjYWVapUESEhIWp9VNcxICBA4zgAxKhRo9TatN1rDxo0SFhaWopr166JTp06CQsLC+Hs7CymT58uFAqF2v5PnjwRwcHBws3NTRgbGwsfHx+xYMECoVQqCzy2aq65n/P4+HgxatQoUaVKFen11aFDB7FixQqpT0REhAAgtm7dqvV8ct6L5nUPu3z5ctGmTRvpHtXb21tMmDBBJCcna8yTiEqeTIgSqL5NRKSnKlWqwN/fH6tWrSrtqZSY5ORkVKtWDfPnz8ewYcOK7TjR0dFo3LgxNmzYgAEDBhTbccgw4uLi4OXlhU2bNjHjloiI6CX2Kt7/lkWDBw/GL7/8orXUFRFRSWGNWyIqs54/f47ExERUqlSptKdSomxsbDBx4kQsWLBAWlW2qNLS0jTaFi1aBCMjI7Rp08Ygx6DitWjRItSvX59BWyIiopfYq3r/S0RE2rHGLRGVSXv37sWmTZuQlpYmFf5/lUyaNAmTJk0y2Hjz58/H6dOn0b59e1SoUAG7d+/G7t278cEHH6BKlSoGOw4Vny+++KK0p0BERETF6FW//yUiIk0M3BJRmfTFF1/g6tWrmDt3Lt58883Snk6517JlS+zfvx+zZ8/G06dPUbVqVcyYMQOff/55aU+NiIiIiMD7XyIi0sQat0RERERERERERERlDGvcEhEREREREREREZUxDNwSERERERERERERlTGscasDpVKJe/fuwcrKCjKZrLSnQ0RERES5CCHw5MkTuLm5wcjo1c1N4H0rERERUdlWmPtWBm51cO/ePa66TkRERFQO3L59G5UrVy7taZQa3rcSERERlQ+63LcycKsDKysrANkX1NraupRnQ0RERES5paSkoEqVKtJ926uK961EREREZVth7lsZuNWB6mtm1tbWvAEmIiIiKsNe9fIAvG8lIiIiKh90uW99dQuAEREREREREREREZVRDNwSERERERERERERlTEM3BIRERERERERERGVMaxxa0AKhQLPnz8v7WkQlRpjY2PI5fLSngYRERERERERUbnHwK0BCCEQFxeHpKSk0p4KUamztbWFi4vLK784DBERERERERFRUTBwawCqoK2TkxMsLCwYsKJXkhACqampSEhIAAC4urqW8oyIiIiIiIiIiMovBm6LSKFQSEFbBweH0p4OUakyNzcHACQkJMDJyYllE4iIiIiIiIiI9FSqi5N5enpCJpNp/IwaNQoAkJ6ejlGjRsHBwQEVK1ZEz549ER8frzbGrVu3EBAQAAsLCzg5OWHChAnIyspS63P48GE0adIEpqamqF69OtatW2ewc1DVtLWwsDDYmETlmep3gfWeiYiIiIiIiIj0V6qB21OnTuH+/fvSz/79+wEAvXv3BgAEBwdjx44d2Lp1K44cOYJ79+7h3XfflfZXKBQICAhAZmYmjh8/jvXr12PdunWYNm2a1Cc2NhYBAQFo3749oqOjMXbsWAQFBWHv3r0GPReWRyDKxt8FIiIiIiIiIqKikwkhRGlPQmXs2LHYuXMnYmJikJKSAkdHR2zcuBG9evUCAFy6dAm1a9dGZGQkWrRogd27d6Nr1664d+8enJ2dAQDLli3DpEmT8ODBA5iYmGDSpEkIDw/Hv//+Kx2nb9++SEpKwp49e3SaV0pKCmxsbJCcnAxra2u1benp6YiNjYWXlxfMzMwMdCWIyi/+ThARUWnI737tVcLrQERERFS2FeZ+rVQzbnPKzMzEhg0bMHToUMhkMpw+fRrPnz9Hx44dpT61atVC1apVERkZCQCIjIxE/fr1paAtAPj7+yMlJQXnz5+X+uQcQ9VHNYY2GRkZSElJUft5FR0+fBgymQxJSUlF6mMI7dq1w9ixY4v1GACQmJgIJycn3Lhxo9iPVRBPT08sWrSoSGPMmDEDjRo1Msh8gOwPPb7++muDjUdERC8nhVKBY5dP49dT+3Ds8mkolIrSnhIRERGRBt6z6E/fa1ca1zy/Y5b110CZWZzst99+Q1JSEgYPHgwAiIuLg4mJCWxtbdX6OTs7Iy4uTuqTM2ir2q7all+flJQUpKWlSYsp5RQaGoqZM2ca4rQKRaFU4ERMNBJSEuFk7YAWPo0gNyrbizu1bNkS9+/fh42NjUHGO3z4MNq3b4/Hjx+rPffbt2+HsbGxQY6Rn7lz5+Ltt9+Gp6dnsR+rIKdOnYKlpWWRxhg/fjw+/vhjA80ImDJlCtq0aYOgoCCDPedERPRyCY+KwJTNYbiflCC1udo6YU6fYAQ0bl+KM6OXXX730uXxPpuIqDzT9z25ON7L89pPl3sWQx+zuK5bcY2r77Uz9H66nL8+xwRQ5u9by0zgdvXq1ejSpQvc3NxKeyoICQnBuHHjpMcpKSmoUqVKsR6zvP6RY2JiAhcXl2I/jr29fbEfIzU1FatXrzZ4/WN9OTo6FnmMihUromLFigaYTbZ69erB29sbGzZskBYRJCIiUgmPikDQ8hDkrsMVl5SAoOUhWDUitEzf11D5VZQ/yhjUJSLSrqQDZfpuy+/eIq+59Gj2Jpbu/ynfe5aCjlmSQU1955LfNdD3mhd07T56cwB+PbXfYPvpcv76PM/DlodAm7J231omatzevHkT1apVw/bt2/H2228DAA4dOoQOHTpoZF56eHhg7NixCA4OxrRp0/D7778jOjpa2h4bG4tq1arhzJkzaNy4Mdq0aYMmTZqofeV87dq1GDt2LJKTk3WaX3HXuM3rjxzVEk/F9WLJyMjAhAkTsGnTJqSkpKBp06YICwtDs2bNAPyX/bpz506EhITgypUraNSoEVatWoV69eqp9cn5PP35558ICQnB33//jUqVKqFHjx4IDQ2VskczMjIwbdo0bNy4EQkJCahSpQpCQkLQoUMHeHl5qc1x0KBBWLduHdq1a4dGjRph0aJFmDx5Mg4ePIiTJ0+q9W3YsCF69uwpLU63atUqfP3114iNjYWnpyfGjBmDkSNH5nk9fvnlF4wcORIJCf/9oqvOb8+ePfjss89w6dIl+Pn5YdOmTTh9+jTGjRuHu3fvomvXrli1ahUsLCwAAHv27MGcOXPw77//Qi6Xw8/PD4sXL4a3tzcA4IcffsDIkSMRFRUFHx8fAMDIkSNx6NAhnDlzBhYWFvD09MTYsWOlEhEymQzLli3Djh07cOjQIXh4eGDNmjVwdHREUFAQTp06hYYNG+LHH3+UjjNjxgz89ttv0u+ItoXDPDw8pNIQ//77LyZMmICjR4/C0tISnTp1QlhYGCpVqiT1nzVrFvbv34+jR49qvY6scUtE9GpSKBVoOrmH2g1zTjIArnbOODV3e7EExVjbNdvLfh20/WG6558/8ryXzusPHdUdUX5/JBY126qw58FgMREVl+LIqCxsoKyg92R9twHZMZPODdvo/P+HgsgA2FraIOlZcp5xmsIGJ4uyX1H+XwZAr/9Hlnqg8AVdz1/btSvqccvKfWuZCNzOmDEDy5cvx+3bt1GhQnYScHJyMhwdHfHzzz+jZ8+eAIDLly+jVq1aGouT3b9/H05OTgCAFStWYMKECUhISICpqSkmTZqEXbt24dy5c9Lx+vfvj0ePHhXb4mRCCKRmpus0tkKpQJuZ/RCX9EDrdhkAF1tHHJn+s04vFgsTM63BOW0++eQT/PLLL1i1ahU8PDwwf/58/P7777h69Srs7e2loGXt2rWxePFiuLi4YPLkyfj3339x5coVGBsbawRur127hoYNG2LOnDkICAjAgwcPMHr0aDRs2BBr164FAPTp0weRkZFYvHgxGjZsiNjYWDx8+BC9evXC//73P/Ts2ROXL1+GtbU1zM3NYWNjoxa4PX/+POrVq4erV69KAUpVW0xMDKpXr46ffvoJEyZMwHfffYfGjRsjKioKw4cPx8KFCzFo0KA8r8eVK1ewe/duqU11fi1atMBXX30FCwsLBAYGwt3dHaampvjiiy/w9OlT9OjRAxMmTMCkSZMAANu2bYNMJkODBg3w9OlTTJs2DTdu3EB0dDSMjLJLSwcGBuLGjRs4fvw49u7dix49eiAyMhK+vr4AoDVw6+7ujoULF6JRo0aYNGkSoqOjUa1aNUycOBFVq1bF0KFDYWtrK51D7sCtqoQIADx79gydO3eGn58ffvjhByQlJaFGjRoICgrC+++/j7S0NEyaNAlZWVk4dOiQtN+ePXvw9ttvIyUlBaamphrXkYFbIqJX07HLp9EzrOBvY2wLXoJWNX0NfvyXPWCpq5f5OmgLErjYOCIjKxOPn+mWkKGLnIEAQP8Mp+L4migRvRxK8gMhfbItdQk+GjpQpi9VkNXM2AT3c8RViuP/D+WJKuBpZ2nz0l8DGWQQxfRqLAv3raVeKkGpVGLt2rUYNGiQFLQFABsbGwwbNgzjxo2Dvb09rK2t8fHHH8PPzw8tWrQAAHTq1Al16tTBwIEDMX/+fMTFxWHKlCkYNWqUFFD68MMP8d1332HixIkYOnQoDh06hC1btiA8PLzYzik1Mx3enxgmQ1YAuJ/0ADWCOxbYFwCuLY6Apalm3d7cnj17hqVLl2LdunXo0qULAGDlypXYv38/Vq9ejQkTJkh9p0+fjjfffBMAsH79elSuXBm//vorAgMDNcYNDQ3FgAEDpGCjj48PvvnmG7Rt2xZLly7FrVu3sGXLFuzfv19aNK5atWrS/qqSCE5OThr1jVXq1q2Lhg0bYuPGjZg6dSoA4KeffkLz5s1RvXp1ac5ff/013n33XQCAl5cXLly4gOXLl+cZuL1582aepTrmzJmDVq1aAQCGDRuGkJAQXLt2TZp7r169EBERIQVuVR82qKgyYy9cuCBlKy9fvhwNGjTAmDFjsH37dsyYMUMK2uZlyJAh0nWfNGkS/Pz8MHXqVPj7+wPIDj4PGTIkz/1VZS2EEOjZsydsbGywfPlyAJCC3PPmzVObd5UqVXDlyhXUqFEDAODm5obMzEzExcXBw8Mj3/kSEdGrIyEl0aD9iHLKswxHsvbkh6IQyP6Dd/yGL7RmWxXlK51F+ZpoWfi6JhH9R9/ga1HKJBY2OKvP18TvJyXg+/0/ad2mGmfpgY1lImgLZM9JW2CyOP7/UJ6onp+XPWgLoNiCtkDZuG8t9cDtgQMHcOvWLQwdOlRjW1hYGIyMjNCzZ09kZGTA398f33//vbRdLpdj586d+Oijj+Dn5wdLS0sMGjQIs2bNkvp4eXkhPDwcwcHBWLx4MSpXroxVq1ZJga5X1bVr1/D8+XMpGAkAxsbGeO2113Dx4kW1vn5+ftK/7e3tUbNmTY0+Kv/88w/Onj2Ln376741eCAGlUonY2FicO3cOcrkcbdu2LdL8BwwYgDVr1mDq1KkQQuDnn3+W6hI/e/YM165dw7BhwzB8+HBpn6ysrHwX1EpLS8szQ7RBgwbSv52dnWFhYaEWcHZ2dsZff/0lPY6JicG0adNw8uRJPHz4EEqlEgBw69YtKXBrZ2eH1atXw9/fHy1btsRnn31W4HnnngcA1K9fX60tPT0dKSkp+X5qM3nyZERGRuLvv/+WFuj7559/EBERobUm7rVr16TArap/ampqgfMlIqJXh5O1g0H70asrd2CimXd9TNkcVqJBgrwCAaptALQGNooaDMlrzLJUa4+oqMrSAkv6btN3Uau8vrqf8/dc21f+9QnO6vKeo68y8MVtohJRFu5bSz1w26lTpzx/6c3MzLBkyRIsWbIkz/09PDywa9eufI/Rrl07REVFFWmehWFhYoZriyN06nsiJhoDvgsusN9Po8PQwqeRTscuTU+fPsWIESMwZswYjW1Vq1bF1atXDXKcfv36YdKkSThz5gzS0tJw+/Zt9OnTR5oDkJ1B3Lx5c7X95PK8bwgqVaqEx48fa91mbGws/Vsmk6k9VrWpgrMA0K1bN3h4eGDlypVwc3ODUqlEvXr1kJmZqbbfH3/8Ablcjvv37+PZs2ewsrLK97xzzyOvtpxzyW3Dhg0ICwvD4cOH4e7uLrU/ffoU3bp1w5dffqmxj6urq/TvR48eATDM4mlERPTyaOHTCI7W9niQ8kjrdlWtMF3uZ+jVpS0wYW9pi0fPkkpvUoVQHKEMVQbw1C2L8Gb9Vjh17RzLKJBWJb2KfUkGPEtjwau8tum7qJXqq/va3idyZvpP2bxQ7Sv/+gZniUh/Zem+tdQDty8jmUymU7kCAGhX5zW42johLilB6xu46sXSrs5rBr0p8/b2homJCY4dOyZ93f358+c4deqUVOZA5cSJE6hatSoA4PHjx7hy5Qpq166tddwmTZrgwoULUsmC3OrXrw+lUokjR45IpRJyMjExAQAoFIp851+5cmW0bdsWP/30E9LS0vDmm29KdY6dnZ3h5uaG69evY8CAAfmOk1Pjxo2xYcMGnfvnJTExEZcvX8bKlSvRunVrANkLtuV2/PhxfPnll9ixYwcmTZqE0aNHY/369UU+fn4iIyMRFBSE5cuXSyVHVJo0aYJt27bB09NTrWxJbv/++y8qV66stmAZERFR+vNMGMuNtW5T1cSbHTiWQSYCULhMtPIStC1OAsC9x/Fo/Fl3JD5NktpZRqF8Ko6M05JexV6fbfoGPIuyMryhtxWUxZpvmZUCvrqfV6Y/g7PFK/fiVzlrw2p7Huk/+i5iZujFz4xkRhBCme+YeT3PeW0Dys59KwO3pUxuJMecPsEIWh5Soi8WS0tLfPTRR5gwYQLs7e1RtWpVzJ8/H6mpqRg2bJha31mzZsHBwQHOzs74/PPPUalSJbzzzjtax500aRJatGiB0aNHIygoCJaWlrhw4QL279+P7777Dp6enhg0aBCGDh2Kb775Bg0bNsTNmzeRkJCAwMBAeHh4QCaTYefOnXjrrbdgbm6u9av7QHa5hOnTpyMzMxNhYWFq22bOnIkxY8bAxsYGnTt3RkZGBv7++288fvxYKqmQm7+/P0JCQvD48WPY2dkV/qK+YGdnBwcHB6xYsQKurq64deuWRhmEJ0+eYODAgRgzZgy6dOmCypUro1mzZujWrRt69eql97HzExcXhx49eqBv377w9/eXFiqTy+VwdHTEqFGjsHLlSvTr1w8TJ06Evb09rl69ik2bNmHVqlVStvLRo0fRqVOnYpkjERGVT0IITNo4H/cex8PavCLMTcwQn/xQ2u5q54zZgWMZXCIA+S8yZugVofP6o6y8yhm0BXT7ejUVn5JenE6fOqb51U4uyWBoUQKe+n7lvzi2FSS/Misvk+IIlOmzTV85F1nT+N14cc8CQGucpjDHMMR+RTl/1cJtSS9ek4Z6PgDt187NzhnvNO2IpS9+Xw21X0Fz+bBjPyzd/1Oh5przedZ4Xy1j960M3JYBAY3bY9WI0BJ/sXzxxRdQKpUYOHAgnjx5gqZNm2Lv3r0aQcsvvvgCn3zyCWJiYtCoUSPs2LFDyozNrUGDBjhy5Ag+//xztG7dGkIIeHt7S2UMAGDp0qWYPHkyRo4cicTERFStWhWTJ08GALi7u2PmzJn47LPPMGTIELz//vtYt26d1mP16tULo0ePhlwu1wgkBwUFwcLCAgsWLMCECRNgaWmJ+vXra2QT51S/fn00adIEW7ZswYgRIwq+gHkwMjLCpk2bMGbMGNSrVw81a9bEN998g3bt2kl9PvnkE1haWkoLgdWvXx/z5s3DiBEj4Ofnp1bCwFAuXbqE+Ph4rF+/Xi2z18PDAzdu3ICbmxuOHTuGSZMmoVOnTsjIyICHhwc6d+4MIyMjAEB6ejp+++037Nmzx+DzIyKi8iVncOGfmxfxy8ndkBvJsX7kArzm3YABJCpcfcciLCKT14ri+f1RpssfieUh26qgr1frEgyk/BkyU7Uoi9MB0Pq7o2/t5JIOhhbkVQl4ljclHSgr9DZbJ6Q/z8jzvbqg/z8ENG6Pz3uMzPP9UVucpriCk/pcN13G/Oq9z7RfuyI+H/ldO99q9Qy+X0Fz0feYAMr8B58ywarSBUpJSYGNjQ2Sk5M1FnxKT09HbGwsvLy88lzYSlfl8YZq79696NKlC9LT0/MM5pYn4eHhmDBhAv79918pWEn/Wbp0KX799Vfs27cvzz6G/J0gIqKySVvAAgB6vdYZ3w2dUSpzyu9+7VVSVq5Dflm1hgzOqP4wLSjjtDDBN7dc2VaA4bN1SyIDON9AgI41RYtC39qopXHMwgZn8wrAFsfzqhrT1tIaSc9SDDw6vSoMmVGpCoTl9/5Z0AdGhtym+kAQeZxHUb+RoM//PwpbnqSo162gMQ19zYtaO1vf/QoaszzF1Apzv8bArQ5KKnBb3sTHx2PmzJk4ePAgLl++XNrTMZhFixahZ8+eqFKlSmlPpcxZtWoVWrdujZo1a+bZ51X+nSAiehWER0VozfoCsv9IWjWidFa+LysBy9JW0tehMFm1huBQ0VatXEDuP0z1Udivphf1K52FzcQqDjkDGkDetUoNGUTQpTZqUYI9hq7Vmldwlqis0icAC2jP4tQliAiUnUCZLoHL4lDSQc2SHpOKDwO3BsbArXa+vr548uQJvv/+e60LjdGr6VX+nSAietkplAo0ndxDI9NWRbWo6qm520v8jwUGbrOV5HUoqaxa4L/X1onZW3Hq2rkS/cNU32xdQ2ViOVS0Q+LTxwY/r5y1D7VljgL5Z+tqO0d9s1GLcrz8yggUdEz+IUxFoc+iVnl+db+Ar/znd0yg4OzY0siAL2kvy3nQq4GBWwNj4JZId/ydICJ6eR27fBo9w0YV2G9b8BK0qulbAjP6DwO32UrqOuSXeW1oObNDy8pCISol8fXSZt710XxKL8QlJZSJQGNJBzx1Cb7aWdqwPmo5ok/As6B9S3IbUHAWqz5f3S/oK/9FCc4SUdlSmPs1Lk5GRERERDpJSEk0aD8qnxRKBaZsDiuWWp4FLSJT1siN5Hl+SJHftsKOOadPcJFWNzekkj6+LothMWibrSRWsS+OgKdrroBnqS94VcSFmQDti1rlfi/L/Xuuy6Ll+R1T3/ccIirbmHGrA2bcEumOvxNERC8vZtyWfSVxHXR9HRSGoRaReZnlVcNVl69XU9lS2ABrzrIWQOGyMfVZxV6Xkh/6bisoM7SsLHhliDICZan+KRGVLSyVYGC6BG49PDxgYWFRSjMkKjtSU1Nx8+ZNBm6JiF5Cqhq3eX1lmzVuS19JXIdfT+3DR6un6bVvXlm1JbGIzMugMCuqU/Ez5FfsCwqw5rWQXGmtYl+UbQVh4JKIXnYM3BpYfhdUqVQiJiYGcrkcjo6OMDExgUwmy2MkopeXEAKZmZl48OABFAoFfHx8YGRkVNrTIiKiAhT2D+S8apuWdh1SBm6zleWMW2bVFp+8AnP5BQN1rSn6qtO3xmlxBFgBZnESEb0MGLg1sIIuaGZmJu7fv4/U1NRSmB1R2WJhYQFXV1eYmJiU9lSIiKgAeX31ek6f4HyDr7+fPogPVn6u1lbaGZMM3GYrieugS+Y1s2pLnj7BQED7IkqGUJhs1KIeJ78yAsW1AFVRMlXzwwArEdHLj4FbA9PlggohkJWVBYVCUcKzIyo75HI5KlSowKxzIqJyoCiZs9fib6HV9ECYVDDGovenwNmmUqkHFxi4zVZS10H1+gEKt2o6A1ClQ5+aogVl6+b+t+oxoF82alGOV1AZAX23FRScJSIi0gcDtwbGPwSIiIjoZaLKmMwZqMipoFq1+88dw8Aln6KOe3UcmrqhmGerG96vZSvJ66DL17qpfNA3W9fQdVOLcrz8xi3KNiIiIkNj4NbA+IcAERERvUx0rVG6LXgJWtX01WhfcXATpm1dhK5N3sCqD+YVxxQLjfdr2Ur6OjDg9fIr6YAnA6xERPSyK8z9WoUSmhMRERERlREJKYlF6nct/hYAoJpTFYPNiconuZFca3CfXh75PcfF8fyX9PGIiIjKMi75TkRERPSKcbJ2KFK/2ITbAAAvBm6JiIiIiIoNA7dEREREr5jXvBvAzNgkz+0yZNeObOHTSOv26y8Ct94M3BIRERERFRuWSiAiIiIysLJeh3HhrjVIf56pdZtqlfbZgWO1zjn9eQbuPo4HwIxbIiIiIqLixMAtERERkQFpWxXd1dYJc/oESyufG1phFvOJT3qIsF1rAQDD2vfGrqgj6nPNtUp7bjce3IUQAlZmlqhkZVcs50NERERERAzcEhERERlMeFQEgpaHQORqj0tKQNDyEKwaEWrw4G1+gWIAGttURr45ANN6foxZvcei37fB+OPiX+jr1xVfDwzJNzs4Z31bmUyWZz8iIiIiIioaBm6JiIiIDEChVGDK5jCNoC0ACGSXIJi6ZRE6N2xjsLIJ+QWKhy0PyXffxp51AGSv0t629mv44+JfeJaRVuDcrsXfAgB4O1fVe95ERERERFQwLk5GREREZAAnYqK1ZraqCAD3HsfjREy0QY5XUKA4PzIA03/5BgqlAgBQx706AODSvasFHjdnxi0RERERERUfBm6JiIiIDCAhJdGg/QpSUKA4P7mDyLXdvQEA1+JvIy0zPd99r78I3FZzqqzXsYmIiIiISDcM3BIREREZgJO1g0H7FcQQAWDVGM42lWBnaQ2lUCIm7ka++8Qm3AEAVHNiqQQiIiIiouLEwC0RERGRATSv3hCmxiZ5bpcBcLNzRgufRgY5niECwKoxZDIZar8ol3Dx7rU8+z9LT0Vc8gMAQDWWSiAiIiIiKlYM3BIREREZwIqDm5HxPDPfPrMDxxpsYbIWPo3gausEmR77agsiq8ol5Be4jX2QnW1rb2kDW0trPY5MRERERES6YuCWiIiISA8KpQLHLp/Gr6f2YeWhzZjz6xIAwMDW78DV1kmj/ztN30RA4/YGO77cSI45fYK1bpPl8e+cj3MHkWu7qQK3eS9QJtW3dWaZBCIiIiKi4lahtCdAREREVN6ER0VgyuYwjcXB/HwaYX7/SVAKJU7ERCMhJRFX7scibNda7P/3GB4+eYxKVnYGm0dA4/aY0+dTfL75a7V2VztnzA4cCwAa81Rtyx1E1qVUwvX4WwAAL5ZJICIiIiIqdgzcEhERERVCeFQEgpaHQGjZdiImGruiDyOgcXu0qukLAFAqlTj4byTO3rqEsF1rMLfPpwadT/rzDABAw6q18OGb/eFk7YAWPo2kbNrODdtIQeTc23Kq5VYNQPaCZXkFmKWMW6fKBj0HIiIiIiLSxFIJRERERDpSKBWYsjlMa9BWZeqWRVAoFdJjIyMjTH13FABg/ZHtiH0R/DSUPdFHAAB9W3ZFj2ad0Kqmr1pgVm4kR6uavlq35WRpZgGPSu4AgEt5ZN3GSoFblkogIiIiIipuDNwSERER6ehETLRGeYScBIB7j+NxIiZarb11rWZoX7cFspQKzPttqVQb99jl02pB3sJ6kJKIv2P/BQD4N2yj9zgqBS1Qdv3F4mTVWCqBiIiIiKjYsVQCERERkY4SUhL17je1xyhEnD+BHWcOYceZQ1K7q60T5vQJ1mvhsn1n/4QQAg09asPNTnNBtMKq7V4de/75AxfvaS5Qlpz6BIlPHgMAvFgqgYiIiIio2DHjloiIiEhHTtYOeveLfZGtmltcUgKClocgPCqi0PPZ888fAIDODVsXel9tVBm3F+5oZtyq6ts6WTugopmlQY5HRERERER5Y+CWiIiISEfezlXzrBELADIAbnbOaOHTSK1dVRtXG1W93Ny1cQvyLD0Vf1w8BQDo3LCtzvvlRxW4vXz/OpRKpdo2qb6tM+vbEhERERGVBAZuiYiIiLRQKBVqtWhT0p5i8NJJUnBVlqu/6vHswLEawV19a+Pm5/DFk8jIyoRHJXfUcqum83758XKsDDNjU6RlpuPmw7tq267F3wIAVGOZBCIiIiKiEsHALREREVEu4VERaDq5B3qGjcJHq6ehZ9go1J/4FqJvXoCdpTXmBo6Di616TVlXO2esGhGqtVZtUWrj5mV39IsyCY3aQCbLHUbWTwV5BdRw9QSguUCZKuPWiwuTFcqSJUvg6ekJMzMzNG/eHH/99Ve+/RctWoSaNWvC3NwcVapUQXBwMNLT00totkRERERUlnBxMiIiIqIcwqMiELQ8RCphoJLxPBMA8GHH/hj2RiAGt+uJEzHRSEhJhJO1A1r4NMqzjEJRauNqk6XIwoFzxwAAnRu20WkfXdVy88bZW5dx4e5VvNW4ndR+PSG7Rq+3E0sl6Grz5s0YN24cli1bhubNm2PRokXw9/fH5cuX4eSkuZjcxo0b8dlnn2HNmjVo2bIlrly5gsGDB0Mmk2HhwoWlcAZEREREVJqYcUtERET0gqoWbe6gbU7r//gVCqUCciM5WtX0RY9mndCqpm++tW9b+DSCq62TRnkFlbxq4+blxNV/kJSaAvuKtmhWrb5O++iqTuXqANQzboUQiH3AjNvCWrhwIYYPH44hQ4agTp06WLZsGSwsLLBmzRqt/Y8fP45WrVqhf//+8PT0RKdOndCvX78Cs3SJiIiI6OXEwC0RERHRCwXVogUKX4sWAORGcszpEwygcLVx87L3n+wyCW/Wb4UKcsN+gaq2W/YCZZfu/Re4TXyahOTUJwAAT0d3gx7vZZWZmYnTp0+jY8eOUpuRkRE6duyIyMhIrfu0bNkSp0+flgK1169fx65du/DWW2+VyJyJiIiIqGxhqQQiIiJ6qSmUCp1LGhRHLVqVgMbtsWpEKKZsDlMLDjtY2eHL/hO11sbVRgiB3dFHAABdGrYt9DwKUts9O+P2esJtpGamw8LETKpv627vAnMTM4Mf82X08OFDKBQKODs7q7U7Ozvj0qVLWvfp378/Hj58iNdffx1CCGRlZeHDDz/E5MmT8zxORkYGMjIypMcpKSmGOQEiIiIiKnXMuCUiIqKXlrZFxppO7oHwqAit/Q1diza3gMbt8fe8X7EteAl8veoBAAa8/rbOQVsAuHD3Ku48ioO5sSna1HlNr3nkx9HaHg5WdhBC4Mr9WADZQVwAqOZU2eDHo/8cPnwY8+bNw/fff48zZ85g+/btCA8Px+zZs/PcJzQ0FDY2NtJPlSosZUFERET0sij1wO3du3fx3nvvwcHBAebm5qhfvz7+/vtvabsQAtOmTYOrqyvMzc3RsWNHxMTEqI3x6NEjDBgwANbW1rC1tcWwYcPw9OlTtT5nz55F69atYWZmhipVqmD+/Pklcn5ERERUOlSLjOUufRCXlICg5SFag7eGrkWrjao27sDW7wAA/rioW/1ShVKBY5dPY2F4dn3UNrVfg0UxZL/KZDKpXIKqzu31+FsAWN+2MCpVqgS5XI74+Hi19vj4eLi4uGjdZ+rUqRg4cCCCgoJQv3599OjRA/PmzUNoaCiUSqXWfUJCQpCcnCz93L592+DnQkRERESlo1QDt48fP0arVq1gbGyM3bt348KFC/j6669hZ2cn9Zk/fz6++eYbLFu2DCdPnoSlpSX8/f2Rnp4u9RkwYADOnz+P/fv3Y+fOnfjjjz/wwQcfSNtTUlLQqVMneHh44PTp01iwYAFmzJiBFStWlOj5EhERUcnIb5ExVdvULYugUCrUtqlq0WrbT59atPlpV6c5ACD65kUkPk3Kt2/OzGFVwPnE1eg8M4eLqrb7i8DtnasAgOsJdwAA1Ri41ZmJiQl8fX1x8OBBqU2pVOLgwYPw8/PTuk9qaiqMjNRvz+Xy7NeaENqXzDM1NYW1tbXaDxERERG9HEo1cPvll1+iSpUqWLt2LV577TV4eXmhU6dO8PbO/mNBCIFFixZhypQpePvtt9GgQQP88MMPuHfvHn777TcAwMWLF7Fnzx6sWrUKzZs3x+uvv45vv/0WmzZtwr179wAAP/30EzIzM7FmzRrUrVsXffv2xZgxY7Bw4cLSOnUiIiIqRgUtMiaQ9yJjAY3bo16VGhrtrnbOWDUitFBlDfLjYuuIOu7VIYTIN+s2r8zhlNQneWYOF5Wqzu3Fe9mB29gHqlIJVQ1+rJfZuHHjsHLlSqxfvx4XL17ERx99hGfPnmHIkCEAgPfffx8hISFS/27dumHp0qXYtGkTYmNjsX//fkydOhXdunWTArhERERE9Ooo1cXJfv/9d/j7+6N37944cuQI3N3dMXLkSAwfPhwAEBsbi7i4OLXVeG1sbNC8eXNERkaib9++iIyMhK2tLZo2bSr16dixI4yMjHDy5En06NEDkZGRaNOmDUxMTKQ+/v7++PLLL/H48WO1DF8iIiIq/4qyyNiFOzH49/YVyCDDd0Omw8jIqMBFzfTVvm4LXLh7FRHnT6BHs04a2wvKHJYhO3O4c8M2Bp2blHF79xqEEDlq3DLjtjD69OmDBw8eYNq0aYiLi0OjRo2wZ88eacGyW7duqWXYTpkyBTKZDFOmTMHdu3fh6OiIbt26Ye7cuaV1CkRERERUiko1cHv9+nUsXboU48aNw+TJk3Hq1CmMGTMGJiYmGDRoEOLi4gBA62q8qm1xcXFwcnJS216hQgXY29ur9fHy8tIYQ7Utd+CWq/MSERGVb0VZZGzJvg0AgK5N3kDP5p0NOq/c2tdpgSX7NiDiwgkolUqNr8kXJnO4VU1fg82rpls1yGQyPHzyGOfvxCA1Iw1GMiNUreRmsGO8KkaPHo3Ro0dr3Xb48GG1xxUqVMD06dMxffr0EpgZEREREZV1pVoqQalUokmTJpg3bx4aN26MDz74AMOHD8eyZctKc1pcnZeIiKicK2iRMUD7ImO3Ht7Db38fAACM9h9YfBN8oZl3A1iYmuNByiNcuHtVY3tRMoeLwsLEDJ6V3AEA4VGHAQBVK7nBpIKxQY9DRERERER5K9XAraurK+rUqaPWVrt2bdy6lb1ysWrF3fxW43VxcUFCgnomSlZWFh49eqTWR9sYOY+RE1fnJSIiKt9Ui4zlZ0avMRrlBZYf/BkKpQKtazVFQ49axTlFAICpsQlef5EpG3H+hMb2omQOF1Wdytl1blU1dL2cKhv8GERERERElLdSDdy2atUKly9fVmu7cuUKPDw8AABeXl5wcXFRW403JSUFJ0+elFbj9fPzQ1JSEk6fPi31OXToEJRKJZo3by71+eOPP/D8+XOpz/79+1GzZk2t9W25Oi8REVH5F9C4PVaNCIVDRVu1dpksOw/3yv1YtfbEp0nY+OfvAIDRnYo/21alXZ0WAICIC5qBW1XmcF5k0J45bAi13LLr3KquE+vbEhERERGVrFIN3AYHB+PEiROYN28erl69io0bN2LFihUYNWoUgOw/rMaOHYs5c+bg999/x7lz5/D+++/Dzc0N77zzDoDsDN3OnTtj+PDh+Ouvv3Ds2DGMHj0affv2hZtbdh22/v37w8TEBMOGDcP58+exefNmLF68GOPGjSutUyciIqISENC4Peb2+RQA4O1cFduCl2DJ4BkAgEW71uKfm5ekvmsitiLteQbqV6mBNrVfK7E5vlE3O3D719V/8DT9mdq2/DKHVWUgZgeONfiiacB/C5SpVHOqavBjEBERERFR3ko1cNusWTP8+uuv+Pnnn1GvXj3Mnj0bixYtwoABA6Q+EydOxMcff4wPPvgAzZo1w9OnT7Fnzx6YmZlJfX766SfUqlULHTp0wFtvvYXXX38dK1askLbb2Nhg3759iI2Nha+vLz799FNMmzYNH3zwQYmeLxEREZW8R8+SAQC13KqhVU1f9HitE7o16YAspQKj185AxIUT+Pn4Tiw/+DMAYJT/QCkrtyR4OlaGl2NlZCkV+PPSaY3t7vaaZZ0AwNXOGatGhCKgcftimVcd9+pqj9Mz06FQKorlWEREREREpKlCaU+ga9eu6Nq1a57bZTIZZs2ahVmzZuXZx97eHhs3bsz3OA0aNMDRo0f1nicRERGVTw9SHgEAKlnZA8i+t/ii/wQcuXgSMXE30O+bsVJfuZERjGQl/7l2uzotEHvkF0RcOIHOjdqobVuwYyUAoOdrndG/VTckpCTCydoBLXwaFUumrcr5OzFqj2f/ugSrIrZiTp/gYgsWExERERHRf0o145aIiIiouCU+eQwAqGT1X137EzFRSEl7qtFXoVRixMrPpQW5Skr7F+USDp2PhBBCaj99/V8c/Pc45EZyfBowNDtjuFkntKrpW6xB2/CoCHyw8nON9rikBAQtDynx60NERERE9Cpi4JaIiIheaqqMW0fr7IxbhVKBKZvD8t1n6pZFJVoWoFWNJjCpYIzbifdxPeG21L5gZ3a2be8WXVDNuWRqzKquj9CyTdVW0teHiIiIiOhVxMAtERERvdQePlGVSsjOuD0RE437SQl59hcA7j2Ox4mY6BKYXTZLMwu85t0QABBxPhIAcPJqNA5fOIkKRnIEdxlSYnMpi9eHiIiIiOhVVOo1bomIiIiK04MXpRJUGbcJKYk67adrP0NpX7cF/rz8N7b/tQ8OVnZYsm8DAKBvy67wcHQvsXmU1etDRERERPSqYeCWiIiIXmr/ZdxmB26drB102k/XfoZS4UXN2jM3zuOj1dOk9vpVa5boPMrq9SEiIiIietWwVAIRERG9tNIy0/E0PRXAfxm3LXwawdXWCbI89pEBcLNzRgufRiUyRyB7MbAZvyzWuu2zjfNLdDGwsnh9iIiIiIheRQzcEhER0Uvr4YsyCSYVjGFlZgkAkBvJMadPMABoBCdVj2cHjoX8RQZscctvMTCVklwMrKxdHyIiIiKiVxUDt0RERFQuKJQKHLt8Gr+e2odjl0/rFMh8kPLfwmQy2X9hyIDG7bFqRChcbJ3U+rvaOWPViFAENG5v2MnnoywuBlaWrg8RERER0auKNW6JiIiozAuPisCUzWFqAU5XWyfM6ROcbxBRlXGrqm+bU0Dj9ujcsA1OxEQjISURTtYOaOHTqMQzScvqYmBl5foQEREREb2qGLglIiKiMi08KgJBy0M0SgnEJSUgaHlIvhmg/y1MZqd1u9xIjlY1fQ053UIry4uBlYXrQ0RERET0qmKpBCIiIiqz8qv/qmrLr/6rKuNWtTBZWcTFwIiIiIiISBsGbomIiKjMKmr915w1bssqLgZGRERERETaMHBLREREZVZR67+Wh4xbgIuBERERERGRJta4JSIiojKrqPVfy0PGrQoXAyMiIiIiopwYuCUiIqIyS1X/NS4pQWudWxmys1Lzqv8qZdxale2MWxUuBkZERERERCoslUBERERlVs76r7npUv/1wZMXGbdlvFQCERERERFRbgzcEhERUZmmqv9qJFO/bSmo/qtCqcCjp0kAyk/GLRERERERkQpLJRAREVGZ1652cyiFUnrcqoYvtoz9Jt/6r4+eJkEIAZlMBvuKNiUxTSIiIiIiIoNhxi0RERGVedcSbqk9zszKLHDRLlV9WztLG1SQ87NqIiIiIiIqXxi4JSIiojIv5v4NAIClqQUA4O7j+AL3eZDyor6tlV2xzYuIiIiIiKi4MHBLREREZd7V+JsAgFY1mwAA4pIeIkuRle8+qoxbRy5MRkRERERE5RADt0RERGRwCqUCxy6fxq+n9uHY5dNQKBVFGi8mLjtw6+fTGMbyClAKJeKSH+a7DzNuiYiIiIioPGPBNyIiIjKo8KgITNkchvtJCVKbq60T5vQJRkDj9nqNGRN3AwBQw9ULbnbOuPnwLu4+ikNle5c895Eybq2YcUtEREREROUPM26JiIjIYMKjIhC0PEQtaAsAcUkJCFoegvCoiEKPmaXIQmzCbQCAj4sn3OycAAD3HifktxsePGHGLRERERERlV8M3BIREZFBKJQKTNkcBqFlm6pt6pZFhS6bcOvhPWRmPYe5sSkq27vA/UWW7Z1Hcfnuxxq3RERERERUnjFwS0RERAZxIiZaI9M2JwHg3uN4nIiJLtS4qoXJvF08YGRkhMr2zgCAu4/i893vYUp24JYZt0REREREVB4xcEtEREQGkZCSaNB+KqqFyao7ewAA3OyyA7f3HucfuFWVSmDGLRERERERlUcM3BIREZFBOFk7GLSfimphMh9XTwCAuw4Zt0IIJL4oleDAxcmIiIiIiKgcYuCWiIiIDKKFTyO42jpBlsd2GbKzZVv4NCrUuFdzZdyqatzmF7h9mp6K9OcZAFgqgYiIiIiIyicGbomIiMgg5EZyzOkTrHWbKpg7O3As5EZynccUQvyXcevyInD7olRCUmoKnqWnat3v4YsyCRam5rA0Ndf5eERERERERGUFA7dERERkMAGN22PViFDIZOp5t9bmVlg1IhQBjdsXaryHTx4hOfUJZDIZqjlXBQBYmVvC2rwiAOBuHnVuH6S8qG/LMglERERERFROMXBLREREBtWxXisIIQAA3Zq8AQCwr2iDLg3bFnos1cJkVR3cYGZsKrUXVOf24Yv6tiyTQERERERE5RUDt0RERGRQ8ckPAQCmFUwQ9v7nsDKzROyDOzh88WShx8q9MJmK24tyCffyyrh9USrB0ZoZt0REREREVD4xcEtEREQGpQrcOttWQkUzS/Rv1Q0AsOrQlkKPlXthMhVVxu0dZtwSEREREdFLioFbIiIiMqi4pOzArYtNJQDAkHa9IJPJcOh8JK7F3yrUWKqM2xq5Mm4r27sAAO4+itO6n1Tjlhm3RERERERUTjFwS0RERAYVn/wAAOBs4wgA8HSsjI71WgIA1hzeWqixYvLIuHWzcwIA3HucoHU/VcatAzNuiYiIiIionGLgloiIiAwq7kWpBBfbSlJbUPtAAMDmyHA8SXum0zjPMtKkjNrqLp5q29wLyLh9+CLjlqUSiIiIiIiovGLgloiIiAxKVSrB2ea/wG2b2q/Bx8UDT9NTsflEuE7jXIvPzrZ1sLKDfUUbtW3u0uJkCRBCaOyryrh1tGKpBCIiIiIiKp8YuCUiIiKDUpVKyJlxK5PJMLRdbwDA6kNb8Oelv/HrqX04dvk0FEqF1nFUC5P55CqTAACudk6QyWTIyMqUgrQ5PXiiyrhl4JaIiIiIiMqnCqU9ASIiInq5/Lc4maNae2CLtzBz27eIfXAHvRaNltpdbZ0wp08wAhq3V+uvWpjMJ9fCZABgLK8AZ+tKiEt+gLuP49UWIcvMeo7k1CcAuDgZERERERGVX8y4JSIiIoOKS1Jl3KoHbg9fPIn05xla+icgaHkIwqMi1NrzWphMxd0+u1xC7jq3qgxcuZEcthZWepwBERERERFR6WPgloiIiAzmWXoqnqRnLz6Ws1SCQqnAlM1hWvdRVaidumWRWtkEqVSCloxbAHBT1bl9lKDW/vDJfwuTGRnxVoeIiIiIiMon/jVDREREBhOfnF0mwdLUAhXNLKX2EzHRuJ+UkNduEADuPY7HiZhoAECWIgvXE24BKDjj9s5j9YzbByn/BW6JiIiIiIjKq1IN3M6YMQMymUztp1atWtL29PR0jBo1Cg4ODqhYsSJ69uyJ+Ph4tTFu3bqFgIAAWFhYwMnJCRMmTEBWVpZan8OHD6NJkyYwNTVF9erVsW7dupI4PSIioldO3IvAbc5sWwBISEnUaX9Vv9uJ95GZ9RzmxqaobO+itW9lqVSC+r2BqlQC69sSEREREVF5VuoZt3Xr1sX9+/elnz///FPaFhwcjB07dmDr1q04cuQI7t27h3fffVfarlAoEBAQgMzMTBw/fhzr16/HunXrMG3aNKlPbGwsAgIC0L59e0RHR2Ps2LEICgrC3r17S/Q8iYiIXgWqjFtnG/XArZO1g077q/qpFibzdvHIs9yBVCrhsXrglhm3RERERET0MqhQ6hOoUAEuLpqZNMnJyVi9ejU2btyIN954AwCwdu1a1K5dGydOnECLFi2wb98+XLhwAQcOHICzszMaNWqE2bNnY9KkSZgxYwZMTEywbNkyeHl54euvvwYA1K5dG3/++SfCwsLg7+9foudKRET0spMWJssVuG3h0wiutk6IS0qQatrmJAPgaueMFj6NABS8MBkAuL/IxM0r47aSFTNuiYiIiIio/Cr1jNuYmBi4ubmhWrVqGDBgAG7dyq5nd/r0aTx//hwdO3aU+taqVQtVq1ZFZGQkACAyMhL169eHs7Oz1Mff3x8pKSk4f/681CfnGKo+qjG0ycjIQEpKitoPERERFUxVKsHZ1lGtXW4kx5w+wQCyg7TazA4cC7mRHEDBC5MB/9W4TUhJRGbWc6k95+JkRERERERE5VWpBm6bN2+OdevWYc+ePVi6dCliY2PRunVrPHnyBHFxcTAxMYGtra3aPs7OzoiLy16EJC4uTi1oq9qu2pZfn5SUFKSlpWmdV2hoKGxsbKSfKlWqGOJ0iYiIXnrxSS9q3ObKuAWAgMbtsWpEKFxsnTS2zQoMRkDj9tJjVamE/DJuHSrawszYFEII3H+R6Quwxi0REREREb0cSrVUQpcuXaR/N2jQAM2bN4eHhwe2bNkCc3PzUptXSEgIxo0bJz1OSUlh8JaIiEgH/2XcagZugezgbeeGbXAiJhoJKYlYc/gXnLp2FqeuncXwN/oAAIQQUsZtjXwybmUyGdzsnHA94TbuPoqDRyU3AKxxS0REREREL4dSL5WQk62tLWrUqIGrV6/CxcUFmZmZSEpKUusTHx8v1cR1cXFBfHy8xnbVtvz6WFtb5xkcNjU1hbW1tdoPERERFSxeqnHrmGcfuZEcrWr6okezTviy3wQAwO+nD+L8nRgA2aUOklJTYCQzgpdT/h+cqsol5Kxzy4xbIiIiIiJ6GZSpwO3Tp09x7do1uLq6wtfXF8bGxjh48KC0/fLly7h16xb8/PwAAH5+fjh37hwSEhKkPvv374e1tTXq1Kkj9ck5hqqPagwiIiIyDCGElHHrkkfGbW51Kvvg7abZtejn/74CwH8Lk1Wt5AYzY9N891ctUHbvcXbgVqlUcnEyIiIiIiJ6KZRq4Hb8+PE4cuQIbty4gePHj6NHjx6Qy+Xo168fbGxsMGzYMIwbNw4RERE4ffo0hgwZAj8/P7Ro0QIA0KlTJ9SpUwcDBw7EP//8g71792LKlCkYNWoUTE2z/9D78MMPcf36dUycOBGXLl3C999/jy1btiA4OLg0T52IiOil8yT9GdIy0wEATlpq3OZlfNcgGMmMsPfsUZyJPf9ffVuXvOvbqrjZqWfcJqU+gUKpAMBSCUREREREVL6Vao3bO3fuoF+/fkhMTISjoyNef/11nDhxAo6O2V+vDAsLg5GREXr27ImMjAz4+/vj+++/l/aXy+XYuXMnPvroI/j5+cHS0hKDBg3CrFmzpD5eXl4IDw9HcHAwFi9ejMqVK2PVqlXw9/cv8fMlIiJ6mcW9KJNgY2EFCxMznffzcfFE7xZdsDkyHF/8bxmszCsCAMyNzaBQKiA3kue5b+UXpRLuPMpelFRV39bGwgomFYz1Og8iIiIiIqKyoFQDt5s2bcp3u5mZGZYsWYIlS5bk2cfDwwO7du3Kd5x27dohKipKrzkSERGRblSBW+dCZNuqjAsYhq0nduOPS6ekth1nDuLvyecwp08wAhq317qf+4uM23uPs8smPXySHbh1ZJkEIiIiIiIq58pUjVsiIiIqv1T1bV1t816YLC//3r4MpVBqjpmUgKDlIQiPitC6n5u0ONmLjNsXgVuWSSAiIiIiovKOgVsiIiIyiPik7MBtYTNuFUoFpmwO07pNvPjv1C2LpNq1Oalq3D5Jf4aUtKf/LUxmzYxbIiIiIiIq3xi4JSIiIoOIS84uleBSyIzbEzHRuJ+UkOd2AeDe43iciInW2GZpag57SxsA2QuUPUxhxi0REREREb0cGLglIiIig4jTM+M2ISWxSP3+K5cQL2XcOjLjloiIiIiIyjkGbomIiF4CCqUCxy6fxq+n9uHY5dNaywoUt/gXNW5dbAsXuHWydihSP9UCZXcfx+EBM26JiIiIiOglUaG0J0BERERFEx4VgSmbw9TKDbjaOmFOn2AENG5fYvOIS3pRKsGmcKUSWvg0gqutE+KSEqSatjnJALjaOaOFTyOt+7u/yLi9lzPj1ooZt0REREREVL4x45aIiKgcC4+KQNDyEI0asXFJCQhaHoLwqIgSmYcQQsq4dS5kxq3cSI45fYIBZAdpc1I9nh04FnIjudb93aSM23g8eMKMWyIiIiIiejkwcEtERFROKZQKTNkcpjVLVdU2dcuiEimb8OhZMp4rsgDoXvogp4DG7bFqRChcbJ3U2l3tnLFqRGi+mcOV7V0AAHdY45aIiIiIiF4iDNwSERGVUydiojUybXMSAO49jseJmOhin0v8izIJDlZ2MKlgrNcYAY3b4+95v2Jb8BIsHTYL24KX4NTc7QWWe1CVSrgadwOpGWkAgEoslUBlxJIlS+Dp6QkzMzM0b94cf/31V779k5KSMGrUKLi6usLU1BQ1atTArl27Smi2RERERFSWsMYtERFROZWQkmjQfkURp1qYzKZwZRJykxvJ0aqmb6H2UZVKUGXbmlYwQUUziyLNg8gQNm/ejHHjxmHZsmVo3rw5Fi1aBH9/f1y+fBlOTk4a/TMzM/Hmm2/CyckJv/zyC9zd3XHz5k3Y2tqW/OSJiIiIqNQxcEtERFRO6VqSQJ/SBYUVl/Sivm0RA7f6cLZxgNxILpWEqGRtD5ksd7VcopK3cOFCDB8+HEOGDAEALFu2DOHh4VizZg0+++wzjf5r1qzBo0ePcPz4cRgbZ2eue3p6luSUiYiIiKgMYakEIiKicqqFTyO42jppLOilIkN2NmoLn0bFPpf45OxSCS6FXJjMECrIK8DF1lF6zIXJqCzIzMzE6dOn0bFjR6nNyMgIHTt2RGRkpNZ9fv/9d/j5+WHUqFFwdnZGvXr1MG/ePCgUxV+nmoiIiIjKHgZuiYiIyim5kRxz+gTn22d24FjIjeTFPpf7L2rcOts4FtCzeLjb/fe1cy5MRmXBw4cPoVAo4OzsrNbu7OyMuLg4rftcv34dv/zyCxQKBXbt2oWpU6fi66+/xpw5c/I8TkZGBlJSUtR+iIiIiOjlwMAtERFRORbQuD1WjQhFhVzBWWO5MVaNCC1wYS9DiX9RKsHVtpQCt/Yu0r+ZcUvllVKphJOTE1asWAFfX1/06dMHn3/+OZYtW5bnPqGhobCxsZF+qlSpUoIzJiIiIqLixMAtERFROeffoLVU03VC1+EwkhnhueI5qjq4ldgcpMXJSqFUAgC42v0XMM54ninVuyUqLZUqVYJcLkd8fLxae3x8PFxcXLTu4+rqiho1akAu/++DmNq1ayMuLg6ZmZla9wkJCUFycrL0c/v2bcOdBBERERGVKgZuiYiIyrnbiffxXJEFM2NTBL81BN183wAArD3yS4nNIV5anKzkM27DoyKw4ej/pMe/ntqHppN7IDwqosTnQqRiYmICX19fHDx4UGpTKpU4ePAg/Pz8tO7TqlUrXL16FUqlUmq7cuUKXF1dYWJionUfU1NTWFtbq/0QERER0cuBgVsiIqJyLibuJgDA27kqjIyMMKRtLwDAr3/tQ9Kz4q93qVAqkJCSCKDkM27DoyIQtDwEKWlP1drjkhIQtDyEwVsqVePGjcPKlSuxfv16XLx4ER999BGePXuGIUOGAADef/99hISESP0/+ugjPHr0CJ988gmuXLmC8PBwzJs3D6NGjSqtUyAiIiKiUsTALRERUTkXE3cDAFDdxQMA0Lx6Q9R290ba8wxsjgwv9uM/fPIYSqGEkcyoROvLKpQKTNkcBqFlm6pt6pZFLJtApaZPnz746quvMG3aNDRq1AjR0dHYs2ePtGDZrVu3cP/+fal/lSpVsHfvXpw6dQoNGjTAmDFj8Mknn+Czzz4rrVMgIiIiolJUobQnQEREREVz9UXGbXXn7MCtTCbDkLa9MHHjl1h3ZBuGv9EHRkbF91lt3IsyCU7WDpDnWiStOJ2Iicb9pIQ8twsA9x7H40RMNFrV9C2xeRHlNHr0aIwePVrrtsOHD2u0+fn54cSJE8U8KyIiIiIqD5hxS0REVM5dfZFx6+PqKbX1fM0fVmaWiH1wB0cu/lWsx49PfgAAcC7hMgmq8gyG6kdERERERFSWMHBLRERUjgkhpBq3Pi6eUrulmQX6+AUAyH+RMoVSgWOXT+PXU/tw7PJpvcoKqDJuXWxKNnDrZO1g0H5ERERERERlCUslEBERlWOJT5OQlJoCmUwGL6cqatsGt+2JVRFbsO/sn/j1r32ALDuI2cKnEeRGcoRHRWDK5jC1cgOutk6Y0ycYAY3b6zyHuOTswG1JZ9y28GkEV1snxCUlaK1zKwPgaueMFj6NSnReREREREREhsDALRERUTmmWpissr0LLEzM1LZVd/FAHXdvXLh7DR+tmSa1u9o6oUezN7F0/08aAc+4pAQELQ/BqhGhOgdv45OySyW42DjqfR76kBvJMadPMIKWh0AGqJ2L7MV/ZweOLdG6u0RERERERIbCUglERETlmLQwmYuHxrbwqAhcuHtNo/1+UgK+1xK0Bf4Lfk7dskjnsgmqjFuXEs64BYCAxu2xakQoXGyd1Npd7ZwLFXwmIiIiIiIqa5hxS0REVI6pFiarkaO+LZBdu3bK5jC9xhQA7j2Ox4mYaLSq6Vtg/3hVqYQSrnGrEtC4PTo3bIMTMdFISElUKwdBRERERERUXjFwS0REVI7FSBm3nmrtJ2Ki1WrX6iMhJVGnfvdVpRJsS7ZUQk5yI7lOQWYiIiIiIqLygqUSiIiIyrGr8dpLJegadM2Pk7VDgX0ys54j8cljAKUbuCUiIiIiInrZMOOWiIionErLTMftxPsAgOrO6oFbXYKueZEhu0ZsC59GBfZVBYiN5RVgb2mj9zGJiIiIiIhIHTNuiYiIyqnrCbchhICthTUqWdmpbWvh0wiutk6QFTBG7u2qx7MDx+pUIzY+6b/6tjJZQUcjIiIiIiIiXTFwS0REVE7FvFiYzMfFQyNoKjeSY06fYADag7MyACPfHAAXWye1ba52Tlg1IhQBjdvrNIe45NKvb0tERERERPQyYuCWiIionLqax8JkKgGN22PViFAtwVlnrBoRimk9P8bf837FL2O/g7HcGACw8eNFOgdtASAuR8YtERERERERGQ5r3BIREZVT/wVuPfLsE9C4PTo3bIMTMdFISEmEk7UDWvg0ksogyI3keL1WU9St7IPomxcQc/8GarlV03kO8cnZgVsXWwZuiYiIiIiIDImBWyIionLqanx24NYnn8AtkB2cbVXTN98+td29EX3zAi7du4Zuvm/oPIe4pBelEmxYKoGIiIiIiMiQWCqBiIioHFIqlbimyrh1zj9wqwtVlu2le9cKtZ8q49aZGbdEREREREQGxcAtERFROXTnURzSnmfApIIxqlZyK/J4/wVurxdqvzhVqQTWuCUiIiIiIjIolkogIiIqh1RlErycqqCCvOj/O6/tXh0AEJtwB2mZ6TA3MdNpv3hpcTKWSiAiIiIiyk2hUOD58+elPQ0qQcbGxpDL5QYZi4FbIiKicuiqAcskAICjtT3sLW3w6FkyYuJuoEHVWgXuk5aZjqTUFABcnIyIiIiIKCchBOLi4pCUlFTaU6FSYGtrCxcXF8hksiKNw8AtERFROaQK3Ba0MJmuZDIZarpVQ2RMFC7du15g4FahVGB39BEAgIncGJam5gaZBxERERHRy0AVtHVycoKFhUWRA3hUPgghkJqaioSEBACAq6trkcZj4JaIiKgcuhJ3AwBQ3UCBWwCo7e6NyJgoXLyb/wJl4VERmLI5DPeTsm9GMhXP0ezzdzGnTzACGrc32HyIiIiIiMojhUIhBW0dHBxKezpUwszNs5NaEhIS4OTkVKSyCVycjIiIqBy6+iJw6+PiZbAxa7l5AwAu3cs7cBseFYGg5SFS0FYlLikBQctDEB4VYbD5EBERERGVR6qathYWFqU8Eyotque+qPWNGbglIiIqZx4/S8bDJ48BANWdqxps3Nru2YHby/eua92uUCowZXMYhJZtqrapWxZBoVQYbE5EREREROUVyyO8ugz13OsduP3xxx/RqlUruLm54ebN7Dp7ixYtwv/+9z+DTIyIiIi0uxZ/CwDgZucESzPDfYpf060aAODe4wQkPUvR2H4iJloj0zYnAeDe43iciIk22JyIiIiIiIheVXoFbpcuXYpx48bhrbfeQlJSEhSK7MwaW1tbLFq0SK+JfPHFF5DJZBg7dqzUlp6ejlGjRsHBwQEVK1ZEz549ER8fr7bfrVu3EBAQAAsLCzg5OWHChAnIyspS63P48GE0adIEpqamqF69OtatW6fXHImIiMqCmBcLk1V3Nlx9WwCwNq8IdztnAMDl+5pZtwkpiTqNo2s/IiIiIiIqX44dO4b69evD2NgY77zzjta2w4cPQyaTISkpSacx27VrpxYPpP/oFbj99ttvsXLlSnz++edqBXabNm2Kc+fOFXq8U6dOYfny5WjQoIFae3BwMHbs2IGtW7fiyJEjuHfvHt59911pu0KhQEBAADIzM3H8+HGsX78e69atw7Rp06Q+sbGxCAgIQPv27REdHY2xY8ciKCgIe/fu1ePMiYiISl/M/VgAhl2YTKWWu6rOrWbg1slat4UVdO1HRERERER5UygVOHb5NH49tQ/HLp8uEyXJxo0bh0aNGiE2NlZKjMzd1rJlS9y/fx82NjY6jbl9+3bMnj27GGddflXQZ6fY2Fg0btxYo93U1BTPnj0r1FhPnz7FgAEDsHLlSsyZM0dqT05OxurVq7Fx40a88cYbAIC1a9eidu3aOHHiBFq0aIF9+/bhwoULOHDgAJydndGoUSPMnj0bkyZNwowZM2BiYoJly5bBy8sLX3/9NQCgdu3a+PPPPxEWFgZ/f399Tp+IiKhUXY3Pzrj1cfE0+Ni13Krh4L/HcfGu5gJlLXwawdXWCXFJCVrr3MoAuNo5o4VPI4PPi4iIiIjoVRIeFYEpm8PUSpW52jphTp9gBDRuX2rzunbtGj788ENUrlw53zYXFxedx7S3tzfoHF8memXcenl5ITo6WqN9z549qF27dqHGGjVqFAICAtCxY0e19tOnT+P58+dq7bVq1ULVqlURGRkJAIiMjET9+vXh7Ows9fH390dKSgrOnz8v9ck9tr+/vzQGERFReXM1rjgDt3ln3MqN5JjTJ1jrfqrS+7MDx0JuJNfah4iIiIiIChYeFYGg5SEa60vEJSUgaHkIwqMiiu3YSqUSoaGh8PLygrm5ORo2bIhffvkFN27cgEwmQ2JiIoYOHQqZTIZ169ZpbdNWKuHYsWNo164dLCwsYGdnB39/fzx+nL3gcu5SCRkZGRg/fjzc3d1haWmJ5s2b4/Dhw9L2devWwdbWFnv37kXt2rVRsWJFdO7cGffv31c7lzVr1qBu3bowNTWFq6srRo8eDQAYOnQounbtqtb3+fPncHJywurVqw17QYtIr8DtuHHjMGrUKGzevBlCCPz111+YO3cuQkJCMHHiRJ3H2bRpE86cOYPQ0FCNbXFxcTAxMYGtra1au7OzM+Li4qQ+OYO2qu2qbfn1SUlJQVpamtZ5ZWRkICUlRe2HiIioLMh4nombD+8BKJ5SCbVVpRLuXoMQmnm1AY3bY+XweTCSqd9CuNo5Y9WI0FL99J+IiIiIqCwSQuBZRppOPylpT/H55oVav+GmapuyeSFS0p7qNJ62e/r8hIaG4ocffsCyZctw/vx5BAcH47333sPNmzdx//59WFtbY9GiRbh//z569+6t0danTx+NMaOjo9GhQwfUqVMHkZGR+PPPP9GtWzdpzazcRo8ejcjISGzatAlnz55F79690blzZ8TExEh9UlNT8dVXX+HHH3/EH3/8gVu3bmH8+PHS9qVLl2LUqFH44IMPcO7cOfz++++oXr06ACAoKAh79uxRC/Tu3LkTqampWudfmvQqlRAUFARzc3NMmTIFqamp6N+/P9zc3LB48WL07dtXpzFu376NTz75BPv374eZmZk+0yg2oaGhmDlzZmlPg4iISMONB3ehUCpQ0cwCzjaVDD5+dRcPGMmMkJSagvjkh3CxddToU7mSK5RCCTNjU8zvPwnu9tnlEZhpS0RERESkKTUzHd6fGCbBQQC4n/QANYI7FtgXAK4tjoClqblOfTMyMjBv3jwcOHAAfn5+AIBq1arhzz//xPLly7Fx40bIZDLY2NhIpRAsLS012nKbP38+mjZtiu+//15qq1u3rta+t27dwtq1a3Hr1i24ubkBAMaPH489e/Zg7dq1mDdvHoDsDNlly5bB2zs78WT06NGYNWuWNM6cOXPw6aef4pNPPpHamjVrBgBo2bIlatasiR9//FFKQF27di169+6NihUr6nStSopegVsAGDBgAAYMGIDU1FQ8ffoUTk5Ohdr/9OnTSEhIQJMmTaQ2hUKBP/74A9999x327t2LzMxMJCUlqWXdxsfHSy8EFxcX/PXXX2rjxsfHS9tU/1W15exjbW0Nc3PtL9yQkBCMGzdOepySkoIqVaoU6vyIiIiKQ0zci4XJnD0hk8kK6F14ZsamqOZUBVfjb+LSvetaA7f7zv4JAOhQzw+Bfm8ZfA5ERERERFTyrl69itTUVLz55ptq7ZmZmVrXutJVdHQ0evfurVPfc+fOQaFQoEaNGmrtGRkZcHD4bxFkCwsLKWgLAK6urkhIyC4tkZCQgHv37qFDhw55HicoKAgrVqzAxIkTER8fj927d+PQoUOFOa0SoVfgds6cORgwYAC8vLxgYWEBCwuLQo/RoUMHnDt3Tq1tyJAhqFWrFiZNmoQqVarA2NgYBw8eRM+ePQEAly9fxq1bt6Sov5+fH+bOnYuEhAQpcLx//35YW1ujTp06Up9du3apHWf//v3SGNqYmprC1NS00OdERERU3KT6tq6exXaMWu7euBp/ExfvXkW7Os01tu8/exQA8Gb914ttDkRERERELwsLEzNcW6xbXdoTMdEY8J32dSVy+ml0mE6LAluY6P4t96dPnwIAwsPD4e7urratKHGyvBIn85qDXC7H6dOnIZerf6MvZzassbGx2jaZTCaVhdDleO+//z4+++wzREZG4vjx4/Dy8kLr1q11nmdJ0Stwu3XrVkyfPh3NmzfHe++9h8DAQFSqVLiva1pZWaFevXpqbZaWlnBwcJDahw0bhnHjxsHe3h7W1tb4+OOP4efnhxYtWgAAOnXqhDp16mDgwIGYP38+4uLiMGXKFIwaNUp6QX344Yf47rvvMHHiRAwdOhSHDh3Cli1bEB4ers+pExERlRqFUoHjMWcAACbyClAoFcVSnqCWWzXsPHNI6wJl9x8n4NztK5DJZOhQr6XBj01ERERE9LKRyWQ6lytoV+c1uNo6IS4pQWudWxmy15doV+c1g/8tUKdOHZiamuLWrVto27atwcZt0KABDh48qFNZ0saNG0OhUCAhIUHvQKqVlRU8PT1x8OBBtG+vvUSFg4MD3nnnHaxduxaRkZEYMmSIXscqbnotTvbPP//g7NmzaNeuHb766iu4ubkhICAAGzduRGpqqsEmFxYWhq5du6Jnz55o06YNXFxcsH37dmm7XC7Hzp07IZfL4efnh/feew/vv/++Wk0LLy8vhIeHY//+/WjYsCG+/vprrFq1Cv7+/gabJxERUXELj4pA08k98MfFUwCAn479jqaTexTLirK13KoBgNbA7f5zxwAATTzrwtHa3uDHJiIiIiJ6lcmN5JjTJzvjNndhNNXj2YFjiyWBw8rKCuPHj0dwcDDWr1+Pa9eu4cyZM/j222+xfv16vccNCQnBqVOnMHLkSJw9exaXLl3C0qVL8fDhQ42+NWrUwIABA/D+++9j+/btiI2NxV9//YXQ0NBCJWHOmDEDX3/9Nb755hvExMRI55FTUFAQ1q9fj4sXL2LQoEF6n19x0rvGbd26dTFv3jzMmzcPx44dw8aNGzF27Fh8+OGHSElJ0WvMw4cPqz02MzPDkiVLsGTJkjz38fDw0CiFkFu7du0QFRWl15yIiIgMSaFU4ERMNBJSEuFk7aDTol7hUREIWh6i8Yl7XFICgpaHYNWIUAQ0NsxiBwBQ2z17tdUr965rZPXuO5dd37ZTA5ZJICIiIiIqDgGN22PViFBM2RyG+0kJUrurnTNmB4416L1/brNnz4ajoyNCQ0Nx/fp12NraokmTJpg8ebLeY9aoUQP79u3D5MmT8dprr8Hc3BzNmzdHv379tPZfu3attLjY3bt3UalSJbRo0QJdu3bV+ZiDBg1Ceno6wsLCMH78eFSqVAm9evVS69OxY0e4urqibt260kJoZY1MqApAFEF0dDQ2bNiATZs2ITExEWlpaYaYW5mRkpICGxsbJCcnw9raurSnQ0RE5VR4VITmzZetE+b0Cc7z5kuhVKDp5B5q++Sk+qrUqbnbDfapu0KpQLUx7ZGRlYnIWVvh5ZS9QGdqZjrqfOqP9OcZiJi6QQrwEpUFhr5fu3r1Kq5du4Y2bdrA3NwcQohiWRDQ0HjfSkREVPrS09MRGxsLLy8vmJnpXmM2N32SPkh3T58+hbu7O9auXYt3333XoGPn9xoozP2aXqUSACA2NhZz585F3bp10bRpU0RFRWHmzJmIi4vTd0gi+j97dx4e09n+Afw7k32RVVZbgohdiCURa6moVEvV9qqtRflZGrqgtasGVbuiVFVLhbbUKy3SiC0SW8UulKDIViSRXWbO74+8MzKZJZPJJDNJvp/rysWc85xz7nNmMnnmnufcDxFVGRKpBDEJF7Dv3BHEJFyARCrR2F42arZkAlY2alZdyYO42/Fqk7YAIAB4/CwFcbfjy3oKapmITdDkf5Of3Xh0R7785I2zyHuRj7pO7mjq2UjN1kRV25MnT9C7d280adIE/fr1Q1JSEoCiuRc+/PBDA0dHRERENYmJ2ARBvv4Y2KEPgnz9mbTVE6lUitTUVCxevBgODg544403DB2SWjqVSggICMC5c+fQunVrjB07FsOHD1eabY6IiKi6KuvIWYlUgjnhq1ROLiCgaNTs3D2r0bdNN6XOWGrmE61i0radtprWaYwr/9zCzcd30a9tDwDAkcsvyyRUhZGHRLqYPn06TE1N8eDBAzRr1ky+fOjQoZgxYwa++uorA0ZHREREROX14MEDeHt7o27duti+fTtMTXWuJFvhdIqsV69e2LZtG5o3b67veIiIiIyGqluTDl06UeZ6s2UZNRvk66+wztXOWatYtW2nrZcTlBWNuJVKpfKJyfq01m12V6Kq4MiRIzh8+DDq1q2rsNzHxwf37983UFREREREpC9eXl7QQ+XYSqFT4nbJkiX6joOIiMioqBpV627vgvzCgjKPnC3PqNkAHz94OLiWWuM2wMdPq2Noq1mdolIIslIJl/9JQGrmE9hYWCPQp61ej0VkTLKzs2Ftba20/OnTp7CwsDBARERERERUU2mduJ0xYwYWL14MGxsbzJgxQ2PblStXljswIiIiQ5HVo1UaVZuRpnE7dSNnyzNq1kRsgs+HTsd7m2crrZMVK1g8JFTv9a5kNWzvpv6D/BcF8jIJPZp3hIWZuV6PRWRMunbtih07dmDx4sUAAJFIBKlUiuXLl6Nnz4qbwZmIiIiIqCStE7cXL17Eixcv5P8nIiKqjjTVo9VWyZGzslGzyempKvdb2qjZkLY9VY669XB0w+IhoSrr6paXh4ML7KxskZmbhb9T7iPy8kkAwKutuuj9WETGZPny5ejVqxfOnz+PgoICfPLJJ7h27RqePn2KmJgYQ4dHRERERDWI1onb6Oholf8nIiKqTkqrR6uNkiNnZaNmx6kYNSujadTsnZQHSEpPhYlIjO8mLUd2fo685m5FzSwrEonQrE4jnPn7Eo5ei8WVf25BJBKhV8vOFXI8ImPRsmVL3Lp1C+vXr0etWrWQlZWFt956C5MnT4aHh4ehwyMiIiKiGkSnGrfvvvsu1qxZg1q1aiksz87OxtSpU7Ft2za9BEdERFTZtK1Hq4qmkbMhbXtiRJc38eOp35TWrXhntsZRs4cunQAAdGnaHn1aV96IVx8Pb5z5+xLWHdoBAGjn1QIudk6VdnwiQ7G3t8dnn31m6DCIiIiIqIbTKXH7/fffY+nSpUqJ29zcXOzYsYOJWyIiqrK0rUerigD1I2cFQcC5u1cAAGO7D0LHxm2w5o/tuPn4LrLycjTu91D8cQDAa37ddY6trCIuRuPA+T8BAJm5WQCAW0mJiLgYXSGlGYiMxYkTJzSu79atWyVFQkREREQ1XZkSt5mZmRAEAYIg4Pnz57C0tJSvk0gk+P333+Hq6qr3IImIiCqLNvVoHWzsYWlmjqR0xcnKejYPUJvUjL19EQmP78LK3BKz3pwIe+taSM/OxOzdK/DL2cN4v/dwldulZjzB+cSrAIDg1l3Lc2paUzc52/O8bIzbPBtb3w9j8paqrR49eigtE4lE8v9LJJJKjIaIiIiIajJxWRo7ODjAyckJIpEITZo0gaOjo/yndu3aePfddzF58uSKipWIiKjCyerRqiJL3ax4ZxbOf7Efv0zfgI3vLcKCtz8AAMTdvognWekqt9127GcAwNud+sLeuuiOlf7+vWAiNsHlBzfxd/J9ldsduXwSgiCgrVdzeDhW/Jej2kzONnfPakikTF5R9fTs2TOFn9TUVBw6dAgdOnTAkSNHDB0eERER1SRSCXD3JHBpb9G/VbgPvmDBAvj5+Rk6jCqnTCNuo6OjIQgCXnnlFfzyyy9wcnpZ587c3BwNGjSAp6en3oMkIiKqTCFte+K9nkOwNXqPwnIPRzcsHhIqH20a5OsPoKgMwq9nD+Pyg5v47tjP+Oj1cQrbJT1LxR//K3cwtvsg+fLatRzRvVlHHL0Wi33njuDj/uOVYvnjf/VtK6tMQmmTswkAHj9LQdztePn5E1Un9vb2SsteffVVmJubY8aMGbhw4YIBoiIiIqIa59oBIOITIPPxy2V2nkDIcqDFG4aLiypVmUbcdu/eHT169EBiYiIGDBiA7t27y38CAwOZtCUiomrj4dNkAMDggH7Y+N4i/DJ9A84t+VVliQCRSIT/6zMCQNHI2pyCPIX1P5z6DRKpBAGN/dC8ro/Curc69gEA7Dt3BIKgOM41Ky8bJ2+eAwD0bVM5dTW1nZytPJO4EVVFbm5uSEhIMHQYREREVBNcOwD8NFIxaQsAmUlFy68dqLBDS6VSLF++HI0bN4aFhQXq16+PJUuWAACuXLmCV155BVZWVnB2dsaECROQlZUl3/bYsWPo2LEjbGxs4ODggKCgINy/fx/bt2/HwoULcenSJYhEIohEImzfvr3CzqE60WlysqNHj8LW1haDBw9WWL53717k5ORg9OjRegmOiIjIELLyshF9LQ4A8H+v/gfN6jQudZvX2/ZEPWcP/PMkCXtiIzDmfyNrCwpf4IeT+wAAY3oMUtrutTbdYWVmgbup/yD+/g209WouXxd1NRYFhS/QyK0+fNy99HBmpdN2crbyTOJGZMwuX76s8FgQBCQlJWHp0qW8vY+IiIh0IwjAC80TEstJJUDEx4DK4mUCAFHRSNxGPQAVkyIrMbMGitXrL83s2bOxZcsWrFq1Cl26dEFSUhJu3ryJ7OxsBAcHIzAwEOfOnUNqairGjRuHKVOmYPv27SgsLMSAAQMwfvx4/PTTTygoKMDZs2chEokwdOhQXL16FYcOHcKffxZNgKzqLidSplPiNiwsDJs3b1Za7urqigkTJjBxS0REVVrklRjkFxagkVt9NPVspNU2piameL/3cMwJX4lNf/6EkV0HwERsgt8vHkNa5lO42jmjn18Ppe1sLK0R3KYb9p+PxL6zRxQSt4f+Vyahb5tuCpMjVSRtJmfzcHRDgI9fpcRDVNn8/PwgEomURsAHBARg27ZtBoqKiIiIqrQXOcAiDz3tTCgaift5Xe2az0sCzG20avr8+XOsWbMG69evl+f2GjVqhC5dumDLli3Iy8vDjh07YGNTtL/169ejf//+WLZsGczMzJCRkYHXX38djRoVfYZq1qyZfN+2trYwNTWFu7t7Gc6VylQqQebBgwfw9vZWWt6gQQM8ePCg3EEREREZ0sG/jgIA+rd7pUwJ0+Gd+8PRxg730h5i1e/fYd+5I1jzx3YAwMiuA2BuaqZyO1m5hP3nI+WTfhUUvsCfV2IAVF59W0BxcraSZy57vHhIKEy0+XafqApKTEzE3bt3kZiYiMTERNy/fx85OTk4ffo0mjZtaujwiIiIiCrMjRs3kJ+fj169eqlc16ZNG3nSFgCCgoIglUqRkJAAJycnjBkzBsHBwejfvz/WrFmDpKSkygy/WtJpxK2rqysuX74MLy8vheWXLl2CszNvnSQioqorOy8HUVdjAQCvt3ulTNvaWFghyNcfB/+KxoqDWxXWeTq6qt2uR/MAOFjbITXzCU7f+gtdm3bA6Vt/4XleNlzsnNDOq0XZT6QcQtr2xNb3wzAnfJXCRGUlJ2cjqo4aNGhg6BCIiIioujGzLhr5qo17p4EdyiXWlIz6BfDqrN2xtWRlZaV1W1W+++47TJs2DYcOHUJ4eDjmzJmDyMhIBAQElGu/NZlOidvhw4dj2rRpqFWrFrp1K5os5fjx4/jggw8wbNgwvQZIRERUmf68ehp5L/Lh5VIXLUpMJFaaiIvRiPgrWuW6j34Mg4ONncqkp7mpGfr7v4IfTu7Hr2ePoGvTDvgj/jiAojIJYrFON8iUS0jbnujbphvibscjNfMJXO2cEeDjx5G2VC2tXbtW67bTpk2rwEiIiIioWhKJtC5XgMavAHaeRRORqSteZu9Z1E7PfXMfHx9YWVkhKioK48aNU1jXrFkzbN++HdnZ2fJRtzExMRCLxfD19ZW3a9u2Ldq2bYvZs2cjMDAQu3btQkBAAMzNzSGRSPQab02gU+J28eLFuHfvHnr16gVT06JdSKVSjBo1Cl988YVeAyQiIqpMB/+XeC1rmQSJVII54atUdq1k5u5Zjb5tuqlMfg7s0Ac/nNyPg38dxRfDPsThSycBFCVuDcVEbIIgX3+DHZ+osqxatUqrdiKRiIlbIiIiqlhiEyBkOfDTSBQVKyv+CeN/n0/6LdN70hYALC0tMXPmTHzyyScwNzdHUFAQ0tLScO3aNYwYMQLz58/H6NGjsWDBAqSlpWHq1KkYOXIk3NzckJiYiG+++QZvvPEGPD09kZCQgNu3b2PUqFEAAC8vLyQmJiI+Ph5169ZFrVq1YGFhofdzqG50Styam5sjPDwcixcvxqVLl2BlZYVWrVrx1jIiIqrScgry8OfVorqyZS2TEHc7XqGsQEkCgMfPUhB3O15lMjSgsR88HV3x+Fkqpv+wBMkZabA0s0CgT9syxUFEZZeYmGjoEIiIiIheavEGMPwHIOKToonIZOw9i5K2Ld6osEPPnTsXpqammDdvHh4/fgwPDw9MnDgR1tbWOHz4MD744AN06NAB1tbWGDRoEFauXAkAsLa2xs2bN/H999/jyZMn8PDwwOTJk/H+++8DAAYNGoRff/0VPXv2RHp6Or777juMGTOmws6jutApcSvj5eUFQRDQqFEj+chbIiKiquro1dPILchDPWcPtK7vW/oGxaRmPilXO7FYjFb1fPH4WSr2n4sEAOS9yEfQ/KH4fOh01pUlIiIiIqpJWrwBNAspqnn7PBmo5V5U07aCS5eJxWJ89tln+Oyzz5TWtWrVCkePHlW5nZubG/bt26d2vxYWFvj555/1FmdNoVO2NScnB1OnTsX3338PALh16xYaNmyIqVOnok6dOpg1a5ZegyQiIqoMupZJAABXO+0m51TXLuJiNA5fPqm0PDk9FeM2z8bW98OYvCWqJA8fPsSBAwfw4MEDFBQUKKyTjSohIiIiqnBiE6BhV0NHQQak02wns2fPxqVLl3Ds2DFYWlrKl/fu3Rvh4eF6C46IiKiy5Bbk4ciVUwDKXiYBAAJ8/ODh4Ap16V4RAE9HNwT4+Cmtk9XHVUVW0WruntWQSFnMn6iiRUVFwdfXFxs3bsRXX32F6OhofPfdd9i2bRvi4+MNHR4RERER1SA6JW7379+P9evXo0uXLgojklq0aIE7d+7oLTgiIqLKcuz6GeTk56KOkzvaejUv8/YmYhN8PnQ6ACglb2WPFw8JVTkxWVnq4xJRxZo9ezY++ugjXLlyBZaWlvjll1/wzz//oHv37hg8eLChwyMiIiKiGkSnxG1aWhpcXV2VlmdnZ5f51lIiIiJDkkgliEm4gI2ROwEA/dp21/lvWUjbntj6fhjcHRT/Rno4umksdVDe+rhEpD83btyQz35samqK3Nxc2NraYtGiRVi2bJmBoyMiIiKimkSnGrft27dHREQEpk6dCgDyD7hbt25FYGCg/qIjIiKqQBEXozEnfJXCaNd9Z48goLGfzvVkQ9r2RN823RB3Ox6pmU/gaueMAB8/lSNtZcpbH5eI9MfGxkZe19bDwwN37txBixYtAAD//vuvIUMjIiIiohpGp8TtF198gddeew3Xr19HYWEh1qxZg+vXr+P06dM4fvy4vmMkIiLSu4iL0Ri3eba8hqzMk+fPyj0ZmInYBEG+/lq3l9XHTU5PVYoHKCq14KGmPi4R6VdAQABOnTqFZs2aoV+/fvjwww9x5coV/PrrrwgICDB0eERERERUg+hUKqFLly6Ij49HYWEhWrVqhSNHjsDV1RWxsbHw99f+gyoREZEhyCYDU5UkNcRkYOWpj0tE+rVy5Up06tQJALBw4UL06tUL4eHh8PLywrfffmvg6IiIiIioJtFpxC0ANGrUCFu2bNFnLERERJWiLJOBlWXkbHnI6uOWLN3g4eiGxUNCdR79S0Rl88UXX+Cdd94BUFQ2YdOmTQaOiIiIiIhqKq0Tt5mZmbCzs5P/XxNra2uYmuqcEyYiohpKIpWUqTasrox1MjBd6uMSkX6lpaWhb9++cHFxwbBhw/DOO++gTZs2hg6LiIiIiGogrUslODo6IjW1aASQg4MDHB0d1f5YWlqiWbNmiI6OrrDAiYioeom4GI32nw7EoFWTMenbeRi0ajLafzoQERf1/7fEmCcDk9XHHdihD4J8/Zm0Japkv/32G5KSkjB37lycO3cO7dq1Q4sWLfDFF1/g3r17hg6PiIiIqMIIgoAJEybAyckJIpEI8fHxpW5z7949rdsaI2OPX+thsUePHoWTkxMAlJqQzc/Px/79+zFp0iTcvHmzfBESEVG1ompU7aFLJ1ROFJacnqowUZi+RuRyMjAi0sTR0RETJkzAhAkT8PDhQ/z000/Ytm0b5s2bh8LCQkOHR0RERDWEVCogKTkNObl5sLayhIe7C8TikrNi6M+hQ4ewfft2HDt2DA0bNkTt2rUr7FjG6tixY+jZsyeePXsGBwcHQ4ejfeK2e/fuKv+vjp+fH86ePatbVEREVC1FXIxWquHqbu+C/MICtROFiVA0UZhUKsW8vWsU6786uOLzodPLXP9VNhnYe5tnK63jZGBEJPPixQucP38eZ86cwb179+Dm5mbokIiIiKiGuJv4EDFx8cjOzpUvs7GxQlCAHxp6162QY965cwceHh7o3Llzheyfyk7rUgklSSQS/Pzzz1i8eDEWL16MX375RWEEgqurK86fP6+XIImIqGqRSCWISbiAfeeOICbhAiRSCSIuRmPc5tlKk4IlZ6ThWXaG2n3JJgobv+Uz5W3/NyJXl3IKIW17omW9JkrLPRzd5CN8iahmio6Oxvjx4+Hm5oYxY8bAzs4OBw8exMOHD3Xa34YNG+Dl5QVLS0t06tRJ68ENu3fvhkgkwoABA3Q6LhEREVVNdxMf4khUrELSFgCys3NxJCoWdxN165NoMmbMGEydOhUPHjyASCSCl5cXgKJRuF26dIGDgwOcnZ3x+uuv486dO0rb37x5E507d4alpSVatmyJ48ePazyel5cXFi9ejOHDh8PGxgZ16tTBhg0bFNqkp6dj3LhxcHFxgZ2dHV555RVcunRJvn7BggXw8/PDDz/8AC8vL9jb22PYsGF4/vy5vI228QNFZRN69iz6HOjo6AiRSIQxY8Zgx44dcHZ2Rn5+vkL7AQMGYOTIkRrPs7x0mkHs2rVreOONN5CcnAxfX18AwLJly+Di4oL//ve/aNmypV6DJCKiqqOso2rLo/iI3L5tupVphGxa5lPceFT0B3vdmPkwNTHhZGBEhDp16uDp06fo27cvvvnmG/Tv3x8WFhY67y88PBwzZszApk2b0KlTJ6xevRrBwcFISEiAq6ur2u3u3buHjz76CF27dtX52ERERGQcBEFAYaFEq7ZSqYCY2Isa28TExqOOp5tWZRNMTU0gEpXebs2aNWjUqBG++eYbnDt3DiYmRZ+JsrOzMWPGDLRu3RpZWVmYN28eBg4ciPj4eIjFL8eDfvzxx1i9ejWaN2+OlStXon///khMTISzs/p5Q7788kt8+umnWLhwIQ4fPowPPvgATZo0wauvvgoAGDx4MKysrPDHH3/A3t4emzdvRq9evXDr1i15Odc7d+5g//79OHjwIJ49e4YhQ4Zg6dKlWLJkSZniB4B69erhl19+waBBg5CQkAA7OztYWVnB3Nwc06ZNw4EDBzB48GAAQGpqKiIiInDkyJFSr2156JS4HTduHFq0aIHz58/D0dERAPDs2TOMGTMGEyZMwOnTp/UaJBERVQ2yUbVKtWoz0irsmLIRuXG34xHk66/1dv/96ygkUgnaNGiGwQGvVVh8RFS1LFiwAIMHD9ZbTbOVK1di/PjxGDt2LABg06ZNiIiIwLZt2zBr1iyV20gkEowYMQILFy7EyZMnkZ6erpdYiIiIyDAKCyX49vt9ettfdk4uvvthv1Zt3xs9EGZmpaf/7O3tUatWLZiYmMDd3V2+fNCgQQrttm3bBhcXF1y/fl1h4OaUKVPkbTdu3IhDhw7h22+/xSeffKL2mEFBQfL+UJMmTRATE4NVq1bh1VdfxalTp3D27FmkpqbKv0RfsWIF9u/fj59//hkTJkwAAEilUmzfvh21atUCAIwcORJRUVHyxK228QOAiYmJPCHs6uqq0B/8z3/+g++++06euP3xxx9Rv3599OjRQ8NVLT+dSiXEx8cjLCxMnrQFioYQL1myBBcvav5WgIiIqoeS5RAKCgswJ3yV3kfVais180mZ2u87exgA8FaHPhURDhFVUePHj9db0ragoAAXLlxA79695cvEYjF69+6N2NhYtdstWrQIrq6ueO+99/QSBxEREZGubt++jeHDh6Nhw4aws7OTl1B48OCBQrvAwED5/01NTdG+fXvcuHFD476LbyN7LNvm0qVLyMrKgrOzM2xtbeU/iYmJCqUOvLy85ElbAPDw8EBq6su7P7WNvzTjx4/HkSNH8OjRIwDA9u3bMWbMGK1GM5eHTiNumzRpgpSUFLRo0UJheWpqKho3bqyXwIiIyHipKofgZOOAp9npej2OCNA6Eexqp/4WnJLu//sY5+5eKaod2eFVnWIjIirNv//+C4lEojSpmZubG27evKlym1OnTuHbb79FfHy8VsfIz89XqLeWmZmpc7xERERUMUxNTfDe6IFatU1KTsPvh0+V2q5fcBd4uLtodezy6N+/Pxo0aIAtW7bA09MTUqkULVu2REFBQbn2W5qsrCx4eHjg2LFjSuuKf8luZmamsE4kEkEqlcof6yv+tm3bok2bNtixYwf69OmDa9euISIiokz70IXWidvincCwsDBMmzYNCxYsQEBAAAAgLi4OixYtwrJly/QfJRERGYREKkHc7XikZj6R1389dOmEynII5UnaigA42NjD0swcSekvyyp4OLph4dvTMG/vGiSnp6pM4or+1y7Ax0/r4/12PhIA0MXXH272tXWOm4hIn54/f46RI0diy5YtqF1bu/emsLAwLFy4sIIjIyIiovIQiURalSsAgLp13GFjY6U0MVlxNjZWqFvHXasat+Xx5MkTJCQkYMuWLfK6+6dOqU4qx8XFoVu3bgCAwsJCXLhwAVOmTNG4/7i4OKXHzZo1AwC0a9cOycnJMDU1lY+Srcj4ZczNzQEUla4qady4cVi9ejUePXqE3r17o169ejrFVRZaJ24dHBwUhv8KgoAhQ4bIlwlC0cfp/v37qzw5IiKqWiprkjHZX5YV78xC3zbdlBLFJmITiMVijNs8W+0I3MVDQss0odivZ4sKyA/sEFzu+ImI1KlduzZMTEyQkpKisDwlJUWhdpzMnTt3cO/ePfTv31++TDZixNTUFAkJCWjUqJHCNrNnz8aMGTPkjzMzMyvlQwQRERFVDLFYhKAAPxyJUl9WKSjAr8KTtkBRWVRnZ2d888038PDwwIMHD9TW6N+wYQN8fHzQrFkzrFq1Cs+ePcO7776rcf8xMTFYvnw5BgwYgMjISOzdu1c+irV3794IDAzEgAEDsHz5cjRp0gSPHz9GREQEBg4ciPbt2+s1fpkGDRpAJBLh4MGD6NevH6ysrGBrawugqM7tRx99hC1btmDHjh2lHl8ftE7cRkdHV2QcRERkRCpikjFNo2oXDwlFSNueAKBygrGQtj2x9f0wpUSyjYUV1o6ZJ99WGzce/Y2bj+/A3NQMIW176Ho6RESlMjc3h7+/P6KiojBgwAAARYnYqKgolSNQmjZtiitXrigsmzNnDp4/f441a9aoTMhaWFjIJ+wgIiKi6qGhd1306RWImLh4hZG3NjZWCArwQ0PvupUSh1gsxu7duzFt2jS0bNkSvr6+WLt2rcoJuZYuXYqlS5ciPj4ejRs3xoEDB0q9g+jDDz/E+fPnsXDhQtjZ2WHlypUIDi4aXCMSifD777/js88+w9ixY5GWlgZ3d3d069ZNqQyVPuKXqVOnDhYuXIhZs2Zh7NixGDVqFLZv3w6gaAK3QYMGISIiQt63q2giQTZUtozS09Px7bffyosGN2/eHO+99x7s7e31GqAxyMzMhL29PTIyMmBnZ2focIiIKpREKkH7TwcqJEjLS/Zd8Nb3w9SOqtU2trjb8Th6LRYbjvwIB+taiF92EJZm2ictluz7GusO70A/v+7YNpHlfYiqC2Ptr4WHh2P06NHYvHkzOnbsiNWrV2PPnj24efMm3NzcMGrUKNSpUwdhYWEqtx8zZgzS09Oxf/9+rY5nrNeBiIioJsnLy0NiYiK8vb1haWmp836kUgFJyWnIyc2DtZUlPNxdKmWkbWXw8vJCaGgoQkNDDR1KmfTq1QstWrTA2rVrNbbT9BooS39NrEuQ58+fR+PGjbFq1So8ffoUT58+xapVq9CoUSP89ddfWu9n48aNaN26Nezs7GBnZ4fAwED88ccf8vV5eXmYPHmyfAa5QYMGKd1q9uDBA4SEhMDa2hqurq74+OOPUVhYqNDm2LFjaNeuHSwsLNC4cWN5ppyIiJTF3Y4vd9LW2dZB4bGHoxu2vh+GkLY9YSI2QZCvPwZ26IMgX/8ylTiQbfvpgEmo4+SO9Jzn+P3iMa23l0ql2HeOZRKIqPIMHToUK1aswLx58+Dn54f4+HgcOnRIPlLkwYMHSEpKMnCUREREZIzEYhHqeLrCp1F91PF0rTZJ26ro2bNn2LdvH44dO4bJkydX2nG1LpVQ3PTp09G/f39s2bIFpqZFuygsLMS4ceMQGhqKEydOaLWfunXrYunSpfDx8YEgCPj+++/x5ptv4uLFi2jRogWmT5+OiIgI7N27F/b29pgyZQreeustxMTEACgqFBwSEgJ3d3ecPn0aSUlJGDVqFMzMzPDFF18AABITExESEoKJEydi586diIqKwrhx4+Dh4SEffk1EVJOVnIAsOb185RA8HN0Qt3gvzt25otOoWm2YiE0wvPPrWHFwK3bGHMBbHbV7Pz9/9woePk2GraU1erfqrLd4iIg0mTJlitrJOVTNlFwcBxwQERERGV7btm3x7NkzLFu2DL6+vpV2XJ1KJVhZWeHixYto2rSpwvLr16+jffv2yMnJ0TkgJycnfPnll3j77bfh4uKCXbt24e233wYA3Lx5E82aNUNsbCwCAgLwxx9/4PXXX8fjx4/loxY2bdqEmTNnIi0tDebm5pg5cyYiIiJw9epV+TGGDRuG9PR0HDp0SKuYeMsZEVVXqiYgc7C2Q3pOZpn3VbwcQllqzurq4dNkdPhsIARBQOyivfB2VT8Zjyw5vebQ9zhx4yze7vQa1o+dX+ExElHlYX+tCK8DERGR4emrVAJVXQYtlWBnZ4cHDx4oLf/nn39Qq1YtXXYJiUSC3bt3Izs7G4GBgbhw4QJevHiB3r17y9s0bdoU9evXR2xs0cx6sbGxaNWqlUJR4uDgYGRmZuLatWvyNsX3IWsj24cq+fn5yMzMVPghIqpuZBOQlSyLUFrSVgTA0cYeHg4uCsuLl0OoDHWd3NGzeQAAYGfMAbXtIi5Go/2nAzFo1WScuHEWAHD0WiwiLnLSTSIiIiIiIjJeOpVKGDp0KN577z2sWLECnTsX3WoaExODjz/+GMOHDy/Tvq5cuYLAwEDk5eXB1tYW+/btQ/PmzREfHw9zc3M4ODgotHdzc0NycjIAIDk5WWkmOdnj0tpkZmYiNzcXVlZWSjGFhYVh4cKFZToPIqKqRCKVYE74KpR2y4UIUGgjG1W74p1Z5ZpkTF/e6fImjl6LRXhsBGa+8T7MTBT/rMmS0yXP81lWOsZtnl2piWYiIiIiIiKistApcbtixQqIRCKMGjVKPhGYmZkZJk2ahKVLl5ZpX76+voiPj0dGRgZ+/vlnjB49GsePH9clLL2ZPXs2ZsyYIX+cmZmJevXU34JLRFTVaDsBmZOtA55kpcsfezi6YfGQUHmyM8jXv6JC1MqrrbvAxc4JaZlPEXn5FPq17SFfpyk5LaAoCT13z2r0bdOt0hPORERERERU/UmlUkOHQAair+dep8Stubk51qxZg7CwMNy5cwcA0KhRI1hbW+u0r8aNGwMA/P39ce7cOaxZswZDhw5FQUEB0tPTFUbdpqSkwN3dHQDg7u6Os2fPKuwvJSVFvk72r2xZ8TZ2dnYqR9sCgIWFBSwsLMp8LkREVUVq5hOt2i0aHAp3BxeDjqrVxMzEFEMDQ7D+8A/48dRvConb0pLTAoDHz1IQdzve4AloIiIiIiKqPszNzSEWi/H48WO4uLjA3NwcIpGo9A2pyhMEAQUFBUhLS4NYLIa5uXm59qdT4lbG2toarVq1KlcAJUmlUuTn58Pf3x9mZmaIiorCoEGDAAAJCQl48OABAgMDAQCBgYFYsmQJUlNT4erqCgCIjIyEnZ0dmjdvLm/z+++/KxwjMjJSvg8ioppANjmXLAHrbOug1XbuDi5Gn9T8T+f+WH/4Bxy9Fovfzv8JqSCFq50zktPTtNpe2yQ2ERERERGRNsRiMby9vZGUlITHjx8bOhwyAGtra9SvXx9isU7Ti8mVK3FbXrNnz8Zrr72G+vXr4/nz59i1axeOHTuGw4cPw97eHu+99x5mzJgBJycn2NnZYerUqQgMDERAQNFkNH369EHz5s0xcuRILF++HMnJyZgzZw4mT54sHzE7ceJErF+/Hp988gneffddHD16FHv27EFERIQhT52IqNJEXIzGnPBVCqNPLU01f+snQlFZhAAfv4oNTg8autWHr4c3EpIS8f7WOfLl9lbaTZbpaudcUaEREREREVENZW5ujvr166OwsBASicTQ4VAlMjExgampqV5GWRs0cZuamopRo0YhKSkJ9vb2aN26NQ4fPoxXX30VALBq1SqIxWIMGjQI+fn5CA4Oxtdffy3f3sTEBAcPHsSkSZMQGBgIGxsbjB49GosWLZK38fb2RkREBKZPn441a9agbt262Lp1K4KDgyv9fImIKpu6ybnyCgvk/1c3AdniIaFGVRZBnYiL0UhISlRanpH7XON2VSk5TUREREREVY9IJIKZmRnMzMwMHQpVUSJBEEqbVLzGy8zMhL29PTIyMmBnZ2focIiIVCpZDqFDo1boNOdtjXVeHW3sYWlmjqRiZQU8S0xAZswkUgnafzqw1InW1CWnt74fViXOk4hKx/5aEV4HIiIiIuNWlv6aQUfcEhGRfqgqh+Bk44Cn2ekat3uWnYE9H6yDiVhstBOQaVLaBGQyTrYOeJKVLn/sUYWS00RERERERFQzMXFLRFTFqSuHUFrSVuZJ1jMM7NBH73FVBm0nFls0OBTuDi5VMjlNRERERERENRMTt0REVZhEKsGc8FVKSduyqMqTc2kbu7uDC4J8/Ss4GiIiIiIiIiL9ERs6ACIi0p22pQJUEaGonm1VnpwrwMcPHg6uUDdXZ3U4RyIiIiIiIqqZmLglIqrCtC0VUJIs0bl4SGiVLhlgIjbB50OnA4BS8ra6nCMRERERERHVTEzcEhFVMolUgpiEC9h37ghiEi5AIpXovC9tSwU42zooPPZwdMPW98OqxeRcIW17Yuv7YXB3cFVYXp3OkYiIiIiIiGoe1rglIqpEERejMSd8lUJ5Aw8HV3w+dLpOCcYAHz+42jmrHXkrQlECM27xXpy7c6XaTs4V0rYn+rbphrjb8dX2HImIiIiIiKhmYeKWiKgCSKQSpSTioUsnMG7zbKWJxJLTUzFu82xsfT+szMlHE7EJvFzqqkzcFi8VYG5qXu0n5zIRm1T7cyQiIiIiIqKag4lbIiI9UzWq1t3eBfmFBUpJWwAQUJRk/ejHpZgTvhJJ6WnydaWNxj3zdzzO3rkEAKhdyxH/Pn/2cltHNyweEspSAURERERERERVEBO3REQ6KtOo2ow0lfuQEQA8y85QWl58NG7JBKxEKsGc8JUAgHe6vIll//mEpQKIiIiIiIiIqgkmbomIdFDWUbW6ko3GnbtnNfq26aaQiP0p5r+48s8t2FnZYtabE1kqgIiIiIiIiKgaYeKWiKiMIi5G6zSqVlcCgMfPUhCT8BdMxGKkZj6BjYU1luzfCAD46PVxqF3LsUKOTURERERERESGwcQtEVEZFJUnWKXXUbXamrD1M6RnZyos83BwwdgebxsgGiIiIiIiIiKqSGJDB0BEVJXE3Y5XKI9QmUombQEgKT0NRy6fNEA0RERERERERFSRmLglIiqD1MwnOm8rAuBoYw8PBxeF5R4OrnC0sYdIx33O3bMaEqlE57iIiIiIiIiIyPiwVAIRkQYSqQRxt+ORmvkErnbOcLZx0Gk/sqTsindmoW+bbgr7DPDxw6FLJzBu82yIgDKVYZDVv427Hc+JyYiIiIiIiIiqESZuiYjUiLgYjTnhqxRKI1iYmmvcRgTAwcYelmbmSEp/OVmZh6MbFg8JRUjbngCglGQNadsTW98PUzqeg42dyhIJJZVnJDARERERERERGR8mbomIVIi4GI1xm2crjX7NLyyQ/7/k6NjSRtWaiE00HjOkbU+l7aSCFINXTy01Xlc7Z63Oi4iIiIiIiIiqBiZuiajGK1kOoUOjVpgTvkpjyQJHHUbVasNEbKKwnUQqgYeDK5LTU1XGI/rfcQN8/Mp8LCIiIiIiIiIyXkzcElGNpqocgpONA55mp2vc7ll2BvZ8sA4mYnGZRtWWlYnYBJ8Pna6y/q1shO/iIaF6Py4RERERERERGRYTt0RUY6krh1Ba0lbmSdYzDOzQR+9xlaSu/m3JEb5EREREREREVH0wcUtE1V7JUgiysgKllUMoTWXWlVVV/7YiRvgSERERERERkXFg4paIqjVVpRA8HFzxTtc3FZaVhaHqypasf0tERERERERE1RcTt0RUbakrhZCcnoov/7tFp32yriwRERERERERVQaxoQMgIqoIEqlEbSmEspRHcLZ1UHjs4eiGre+Hsa4sEREREREREVUojrglomop7na8zqUQgJflEOIW78W5O1dYV5aIiIiIiIiIKhUTt0RULaVmPtG6rQiKo3CLl0MwNzVnXVkiIiIiIiIiqnQslUBE1ZKrnbNW7T5+fTzcHVwVlrEcAhEREREREREZGkfcElG1FODjBw8HVySnp6qsaSsrhRDabwxC+41B3O14lkMgIiIiIiIiIqPBxC0RVUsmYhN8PnQ63ts8W2ld8VIIsgQtyyEQERERERERkTFhqQQiqrY6NGwNc1NzpeUshUBERERERERExo4jbomo2loRsRUFhQXwa9AMc9+awlIIRERERERERFRlMHFLRNXS7eR72HnqAABg/tvTEOjT1sARERERERERERFpj4lbIqoyJFKJ1pOIfbFvIyRSCYJbd2XSloiIiIiIiIiqHCZuiahKiLgYjTnhq5CUnipf5uHgis+HTkdI254KSd0nz5/hj0vHIRaJ8dnA/zNg1EREREREREREumHiloiMXsTFaIzbPBtCieXJ6akYt3k2Jr06AvvORSokdQGga9P2aOLhXXmBEhERERERERHpCRO3RGRUSpZD6NCoFeaEr1JK2gKQL/s6cqfKfZ24cRYRF6MR0rZnhcVLRERERERERFQRmLglIqOhqhyCk40Dnman67zPuXtWo2+bbmpr4RIRERERERERGSMmbomo0qmaZOzQpRMqyyGUJ2krAHj8LAVxt+MR5OtfnpCJiIiIiIiIiCoVE7dEVKlUjap1t3dBfmGBynII+pCa+aSC9kxEREREREREVDGYuCWiSqN2krGMtAo9rqudc4Xun4iIiIiIiIhI35i4JaJKIZFK1E4yVlFEADwc3RDg41eJRyUiIiIiIiIiKj+xIQ8eFhaGDh06oFatWnB1dcWAAQOQkJCg0CYvLw+TJ0+Gs7MzbG1tMWjQIKSkpCi0efDgAUJCQmBtbQ1XV1d8/PHHKCwsVGhz7NgxtGvXDhYWFmjcuDG2b99e0adHVKNJpBLEJFzAvnNHEJNwAadv/aVQHkEXzrYOCo89Hd3wf6+OgAhFSdriZI8XDwnlxGREREREREREVOUYdMTt8ePHMXnyZHTo0AGFhYX49NNP0adPH1y/fh02NjYAgOnTpyMiIgJ79+6Fvb09pkyZgrfeegsxMTEAAIlEgpCQELi7u+P06dNISkrCqFGjYGZmhi+++AIAkJiYiJCQEEycOBE7d+5EVFQUxo0bBw8PDwQHBxvs/ImqK1V1bB2sa+m8P9nI2bjFe3HuzhWFSc1MxCbwb9hS6Xgejm5YPCQUIW17ludUiIiIiIiIiIgMQiQIQmXeuaxRWloaXF1dcfz4cXTr1g0ZGRlwcXHBrl278PbbbwMAbt68iWbNmiE2NhYBAQH4448/8Prrr+Px48dwc3MDAGzatAkzZ85EWloazM3NMXPmTERERODq1avyYw0bNgzp6ek4dOhQqXFlZmbC3t4eGRkZsLOzq5iTJ6om1NWx1ZVs5OzW98M0JmElUgnibscrJXWJiKhmYH+tCK8DERERkXErS3/NoKUSSsrIyAAAODk5AQAuXLiAFy9eoHfv3vI2TZs2Rf369REbGwsAiI2NRatWreRJWwAIDg5GZmYmrl27Jm9TfB+yNrJ9EJF+lKeOrQiAo409PBxcFJZ7OLqVmrQFABOxCYJ8/TGwQx8E+fozaUtEREREREREVZrRTE4mlUoRGhqKoKAgtGzZEgCQnJwMc3NzODg4KLR1c3NDcnKyvE3xpK1svWydpjaZmZnIzc2FlZWVwrr8/Hzk5+fLH2dmZpb/BIlqgLjb8TrVsZWNql3xziz0bdONI2eJiIiIiIiIqMYzmsTt5MmTcfXqVZw6dcrQoSAsLAwLFy40dBhERq9keYLk9DSttnOwsUN69ssvRErWow3y9a+QeImIiIiIiIiIqgqjSNxOmTIFBw8exIkTJ1C3bl35cnd3dxQUFCA9PV1h1G1KSgrc3d3lbc6ePauwv5SUFPk62b+yZcXb2NnZKY22BYDZs2djxowZ8seZmZmoV69e+U6SqJpRNQGZnaWNVtt+M24JTMRijqolIiIiIiIiIlLDoIlbQRAwdepU7Nu3D8eOHYO3t7fCen9/f5iZmSEqKgqDBg0CACQkJODBgwcIDAwEAAQGBmLJkiVITU2Fq6srACAyMhJ2dnZo3ry5vM3vv/+usO/IyEj5PkqysLCAhYWFXs+VqDpRNwFZZl62xu1EKBpdG+TbjolaIiIiIiIiIiINDJq4nTx5Mnbt2oXffvsNtWrVktektbe3h5WVFezt7fHee+9hxowZcHJygp2dHaZOnYrAwEAEBAQAAPr06YPmzZtj5MiRWL58OZKTkzFnzhxMnjxZnnydOHEi1q9fj08++QTvvvsujh49ij179iAiIsJg505UVWk7AZkIUGgjq2O7eEgok7ZERERERERERKUQG/LgGzduREZGBnr06AEPDw/5T3h4uLzNqlWr8Prrr2PQoEHo1q0b3N3d8euvv8rXm5iY4ODBgzAxMUFgYCDeeecdjBo1CosWLZK38fb2RkREBCIjI9GmTRt89dVX2Lp1K4KDgyv1fImqA20nIHOydVB47OHohq3vh8nr2BIRERERERERkXoiQRBKGzhX42VmZsLe3h4ZGRmws7MzdDhEBrXv3BFM+nZeqe02jF0AdwcX1rElIqJKwf5aEV4HIiIiIuNWlv6aUUxORkSGI5FKEHc7XusEq6uds1b7dXdwQZCvv77CJCIiIiIiIiKqUZi4JarBIi5GY074KoXSBx4Orvh86HS1JQ06NGoFCzNz5L8oULleNgFZgI9fBURMRERERERERFQzMHFLVENFXIzGuM2zlSYZS05PxbjNs+X1aEuOyP3tQpTGpC3ACciIiIiIiIiIiMqLiVuiGkgilWBO+CqlpC0ACChKwM7dsxpSqRTz9q5RORnZpFf/g/3n/lQcrevohsVDQjkBGRERERERERFROTFxS1QDxd2OV5mMlREAPH6WgvFbPlPbpn3DVpgzcHKZ6uMSEREREREREZF2mLglqoFSM5+Ua3vZiNy+bbpxAjIiIiIiIiIiogogNnQARFTxJFIJYhIuYN+5I4hJuIDatRzLtT/ZiNy42/F6iY+IiKg627BhA7y8vGBpaYlOnTrh7Nmzattu2bIFXbt2haOjIxwdHdG7d2+N7YmIiIio+uKIW6JqLuJiNOaEr1IojeBSywkmYjEkUmm59l3ekbtERETVXXh4OGbMmIFNmzahU6dOWL16NYKDg5GQkABXV1el9seOHcPw4cPRuXNnWFpaYtmyZejTpw+uXbuGOnXqGOAMNJNKBSQlpyEnNw/WVpbwcHeBWCwqfUMiIiIiKpVIEARV8xNRMZmZmbC3t0dGRgbs7OwMHQ6RShKpRKne7KFLJzBu82yVk5CpIwK0bv/L9A0slUBEREbBWPtrnTp1QocOHbB+/XoAgFQqRb169TB16lTMmjWr1O0lEgkcHR2xfv16jBo1qtT2lXkd7iY+RExcPLKzc+XLbGysEBTgh4bedSv02ERERERVVVn6axxxS1QNqBpV627vgvzCAo1JWHvrWrA2t0RSepp8mYejGxa+PQ3z9q5Bcnqqyu1F/2sX4OOnr1MgIiKqdgoKCnDhwgXMnj1bvkwsFqN3796IjY3Vah85OTl48eIFnJycKipMndxNfIgjUcrnkJ2diyNRsejTK5DJWyIiIqJyYuKWqIqLuBitclRtckaayvbFZeQ8x5bxX8BELFYYqWsiNoFYLMa4zbOVRuDKbn5cPCQUJmITPZ0FERFR9fPvv/9CIpHAzc1NYbmbmxtu3ryp1T5mzpwJT09P9O7dW+X6/Px85Ofnyx9nZmbqHrCWpFIBMXHxGtvExMXDq0Edlk0gIiIiKgdOTkZUhUmkEswJX1WmUgglPcl6hiBffwzs0AdBvv7yZGxI257Y+n4Y3B0U6+95OLph6/thCGnbsxxHJSIiotIsXboUu3fvxr59+2BpaamyTVhYGOzt7eU/9erVq/C4kpLTFMojqJKdnYuk5NK/RCYiIiIi9TjilqgKKVnHVipIFcoj6MLVzlntupC2PdG3TTel2rkcaUtERFS62rVrw8TEBCkpKQrLU1JS4O7urnHbFStWYOnSpfjzzz/RunVrte1mz56NGTNmyB9nZmZWePI2JzdPr+2IiIiISDUmbomqCFV1bB2sdZ90RNs6tSZiE05ARkREpANzc3P4+/sjKioKAwYMAFA0OVlUVBSmTJmidrvly5djyZIlOHz4MNq3b6/xGBYWFrCwsNBn2KWytlI9+lfXdkRERESkGhO3RFWAujq26Tm61bFjnVoiIqLKMWPGDIwePRrt27dHx44dsXr1amRnZ2Ps2LEAgFGjRqFOnToICwsDACxbtgzz5s3Drl274OXlheTkZACAra0tbG1tDXYexXm4u8DGxkpjuQQbGyt4uLtUYlRERERE1Q8Tt0RGrjx1bEUAHGzsYWlmjqT0l3XmPBzdsHhIKOvUEhERVbChQ4ciLS0N8+bNQ3JyMvz8/HDo0CH5hGUPHjyAWPxy2omNGzeioKAAb7/9tsJ+5s+fjwULFlRm6GqJxSIEBfjhSFSs2jZBAX6cmIyIiIionESCIJRnXqMaITMzE/b29sjIyICdne63phPpIibhAgatmlzm7WQflba+H8Y6tUREVO2xv1akMq/D3cSHiImLVxp56+LsgLcG9IZIxMQtERERUUll6a9xxC2RkUvNfKJVOwcbO6RnvyydUHJULevUEhERkT419K4LrwZ1kJSchpzcPBS+KMSJmL+Q9iQd12/cRbOmDeXrrK0s4eHuwlG4RERERGXAxC2RkZFIJQqjY2vXctRqu2/GLYGJWMxRtURERFRpxGIR6ni6yh+/KCzE6bhLiImLx/mL15Cbmy9fZ2NjhaAAPzT0rmuIUImIiIiqHCZuiYxIxMVozAlfhaT0VPkya3PNMzKLUDS6Nsi3HRO1REREZFCtWvgg4dY9PHmaoZC0BYDs7FwciYpFn16BTN4SERERaUFcehMiqgwRF6MxbvNshaQtAOQU5Mn/X/LmQtnjxUNCmbQlIiIigxMEIDcvX2ObmLh4SKWcZoOIiIioNEzcEhkBiVSCOeGroOkjjKONPdwdXBSWeTi6Yev7YfI6tkRERESGlJSchpycPI1tsrNzkZScVkkREREREVVdLJVAZATibscrjbQt6Vl2BvZ8sI51bImIiMho5eRqTtqWtR0RERFRTcbELZEBlJyALDldu1EnT7KeYWCHPhUcHREREZFurK001+YvazsiIiKimoyJW6JKpmoCMptSJiCTcbVzrqiwiIiIiMrNw90FNjZWyM7OVdvGxsYKHu4uatcTERERURHWuCWqIBKpBDEJF7Dv3BHEJFyARCpROwFZdoHm2wVFADwd3RDg41dxARMRERGVk1gsQlCAn8Y2QQF+EItLTrlKRERERCVxxC1RBVA1qtbd3gX5hQUaJyADipK0QonHALB4SCjr2RIREZHRa+hdF316BSImLl5p5G0dDxc09K5roMiIiIiIqhYmbonKoWSt2gAfPxy6dALjNs9WStAmZ2hXx9bJ1gFPstLljz0c3bB4SChC2vbUX+BEREREFaihd114NaiDpOQ05OTmIS83HzFx8XiUlIb7/yShQT0PQ4dIREREZPSYuCXSUXlG1WqyaHAo3B1cFJLBHGlLREREVY1YLEIdT1f54+dZ2bh89TaOnzyPwQP74OmzDOTk5sHayhIe7i4sn0BERERUAhO3RDqQ1arVdVStJu4OLgjy9S/3foiIiIiMSYf2LXH/nyRkZGRhZ3gECgsl8nU2NlYICvBjGQUiIiKiYjg5GVEZSaQSzAlfVa5RtapwAjIiIiKqzsxMTeHr4wUACklbAMjOzsWRqFjcTXxogMiIiIiIjBNH3BJpoKqGbdzteIXyCPrACciIiIioupNKBVy7cUdjm5i4eHg1qMOyCURERERg4pZILVU1bD0cXPGaXzed9ykC4GBjD0szcySlvyyrwAnIiIiIqLpLSk5DdnauxjbZ2blISk5TqI1LREREVFMxcUukgroatknpqdh27Ged9ikbN7LinVno26ab0khejrQlIiKi6iwnN0+v7YiIiIiqOyZuiUoobw1bbUfVcgIyIiIiqkmsrSz12o6IiIioumPilqiEstSwFQEKCV6OqiUiIiJSzcPdBTY2VhrLJdjYWMHD3aUSoyIiIiIyXmJDB0BkbFIzn2jVbkKvYXB3UKy/5uHohq3vhyGkbU+YiE0Q5OuPgR36IMjXn0lbIiIiqtHEYhGCAvw0tgkK8OPEZERERET/wxG3VCNIpBKtR7+62jlrtc/g1l0xf9BUjqolIiIi0lJD77ro0ysQMXHxKkfeFrwoNEBURERERMaJiVuq9iIuRmNO+CqF8gceDq74fOh0eb3Z4gJ8/ODu4ILkYvVpixOhaGStLEnLWrVERERE2mvoXRdeDeogKTkNObl5sLayRFJyGs7/dR2nYv5C7doOyM8rkK/zcHfhKFwiIiKqkZi4pWot4mI0xm2erTTRWHJ6KsZtni0va1CcCCLUcXRTmbiVfWRYPCSUI2uJiIiIdCQWi1DH82XJKQ93FySnPMHDRyn4Zd+fEISXvTcbGysEBfihoXddQ4RKREREZDCscUvVlkQqwZzwVUpJW+DlhGJz96xGQWEBYhIuYN+5I4hJuIDF+9bjQuJVmIjFcLZ1UNiueA1bIiIiItIPsViERg3rAYBC0hYAsrNzcSQqFncTHxoiNCIiIiKD4YhbqrbibscrlEcoSQDw+FkK2s56A0+y0pXWrxk9FwM79GENWyIiIqIKJpUKOP/XNY1tYuLi4dWgDssmEBERUY3BxC1VW6mZT7RqpyppCwBW5pasYUtERERUCZKS01ROVlZcdnYukpLTFEosEBEREVVnBi2VcOLECfTv3x+enp4QiUTYv3+/wnpBEDBv3jx4eHjAysoKvXv3xu3btxXaPH36FCNGjICdnR0cHBzw3nvvISsrS6HN5cuX0bVrV1haWqJevXpYvnx5RZ8aGQFXO2edtxWhqIyCRCrRX0BEREREpFJObp5e2xERERFVBwZN3GZnZ6NNmzbYsGGDyvXLly/H2rVrsWnTJpw5cwY2NjYIDg5GXt7LDtuIESNw7do1REZG4uDBgzhx4gQmTJggX5+ZmYk+ffqgQYMGuHDhAr788kssWLAA33zzTYWfHxlWgI+fUo1abcnKKMTdjtdnSERERESkgrWVpV7bEREREVUHBi2V8Nprr+G1115TuU4QBKxevRpz5szBm2++CQDYsWMH3NzcsH//fgwbNgw3btzAoUOHcO7cObRv3x4AsG7dOvTr1w8rVqyAp6cndu7ciYKCAmzbtg3m5uZo0aIF4uPjsXLlSoUEL1UNEqlE65qzD/59jLwX+eU6nrblFoiIiIhIdx7uLrCxsdJYLsHayhJurrXx6HEqcnLzYG1lCQ93F9a8JSIiomrLaGvcJiYmIjk5Gb1795Yvs7e3R6dOnRAbG4thw4YhNjYWDg4O8qQtAPTu3RtisRhnzpzBwIEDERsbi27dusHc3FzeJjg4GMuWLcOzZ8/g6OiodOz8/Hzk579M+GVmZlbQWVJZRFyMxpzwVQoTjnk4uOLzodMR0ranQlLXxsIai35Zi+z8XHi71EXui3wkp6fJt3O2dcSTrGelHrM85RaIiIiISDtisQhBAX44EhWrts2LwkLsCo9QKJdgY2OFoAA/NPSuWxlhEhEREVUqo03cJicnAwDc3NwUlru5ucnXJScnw9VVcXICU1NTODk5KbTx9vZW2odsnarEbVhYGBYuXKifEyG9iLgYjXGbZ0MosTw5PRXjNs/GpFdHYN+5SIWkLgA42thh/0ebULuWo8JI3Q6NWqHTnLeRnJ6qtE+gqMath6MbAnz8KuiMiIiIiKi4ht510adXIGLi4hVG3lpbW6KwsBAFBYV48aJQYZvs7FwciYpFn16BTN4SERFRtWO0iVtDmj17NmbMmCF/nJmZiXr16hkwoppNIpVgTvgqlQlW2bKvI3eq3PZZdibO372CkLY9EeTrr7Du86HTMW7zbIiK7QcoStoCwOIhoWrLMBARERGR/jX0rguvBnWQlJwmL4fg5lobu8IjUIBCtdvFxMXDq0EdtWUTpFJBYZ8ssUBERERVgdEmbt3d3QEAKSkp8PDwkC9PSUmBn5+fvE1qquIIy8LCQjx9+lS+vbu7O1JSUhTayB7L2pRkYWEBCwsLvZwHlV/c7XilkbTaEgGYu2c1+rbpppSEDWnbE1vfD1Muv+DohsVDQhHStmd5wiYiIiIiHYjFItTxfHlXnaymrSbZ2bl4nJQKkUiklJy9m/hQaRQvSywQERFRVWC0iVtvb2+4u7sjKipKnqjNzMzEmTNnMGnSJABAYGAg0tPTceHCBfj7F42mPHr0KKRSKTp16iRv89lnn+HFixcwMzMDAERGRsLX11dlmQQyPuWZIEwA8PhZCuJuxyuNuAWKkrd923TTesIzIiIiIqpcpSVtZSKPxiE/v0D+2MbGCo0b1sOlK7eU2rLEAhEREVUFBk3cZmVl4e+//5Y/TkxMRHx8PJycnFC/fn2Ehobi888/h4+PD7y9vTF37lx4enpiwIABAIBmzZqhb9++GD9+PDZt2oQXL15gypQpGDZsGDw9PQEA//nPf7Bw4UK89957mDlzJq5evYo1a9Zg1apVhjhl0oE+JgjTlPw1EZuoTOoSERERkeFZW1lq1a540hYoSs6qStoWV1qJBSIiIiJDMmji9vz58+jZ8+Xt6LK6sqNHj8b27dvxySefIDs7GxMmTEB6ejq6dOmCQ4cOwdLyZedt586dmDJlCnr16gWxWIxBgwZh7dq18vX29vY4cuQIJk+eDH9/f9SuXRvz5s3DhAkTKu9EqUwkUonCCFipoKq6bdnoI/lLRERERJXPw90FNjZWCqUO9CU7OxdJyWkKpRmIiIiIjIVIEPSQFavmMjMzYW9vj4yMDNjZ2Rk6nGot4mK0Us1ZEUQQ/jd9WMmJxEojQlHN2nNLfmX5AyIiomqM/bUi1fU63E18iCNRsRWy7149O8GnUf0K2TcRERFRSWXpr4krKSaiUkVcjMa4zbOVJiKTJW3H9xoGdwfF0RCejm74v1dHQISiJG1xsseLh4QyaUtERERUhTX0ros+vQJhY2OlsNzCwqzc+9a2FAMRERFRZTPaycmoZpFIJZgTvkrtaFoRgIi/onHm859x7s4VpYnE/Bu2VBqp6+HohsVDQhHStqeavRIRERFRVdHQuy68GtRBUnIacnLzYG1lCUEQcPCPEzrv09rKEm6utfHocap8nx7uLqx5S0REREaBiVsyCnG345VG2hYnAHj8LAXn7lxROZFYSNue6Numm0JtXFlSl4iIiIiqB7FYpFCPVioVylX/tuDFC+wMj0Bubp58mY2NFYIC/NDQu2654yUiIiIqDyZuySBKTkCWnJ6m1XapmU/UrjMRm6hM6hIRERFR9SQWixAU4Kex/m2bVk3w991/FJK71taWkEikyM8vQGGhRKF9dnYujkTFok+vQCZviYiIyKCYuKVKp2oCMkcb7SbPcLVzrqiwiIiIiKgKktW/jYmLV0jOFh8526lDa4USC26utbFrT4TG/cbExcOrQR2WTSAiIiKDYeKWKpVsArKStWyfZWdq3E6Eopq1AT5+FRUaEREREVVRqurfFq9VW7LEwqPHqcjJyVO3OwBFI2+TktMUtqOqSyoV1L4+dF1nTMcjIqLqiYlbqjSlTUAmIwIU2si6KYuHhLJmLRERERGpVDI5q0lOruakbVnbkXG7m/hQ7YhsADqta+hdV22StaKOBzAhTERU0zBxS5WmtAnIZJxsHfAkK13+2MPRDYuHhCKkbc8KjI6IiIiIagprK0u9tqPKoUvy8W7iQ5U1kGW1jFXRZp2q2sk2NlZo3LAeLl25pffj9ekVCEC3pK+mdZoS0AATvkREhsbELVUaTROLFbdocCjcHVzkE5cF+PhxpC0RERER6Y2HuwtsbKwUElkl2VhbwcPdpRKjIkB9olDTKFZ1o1HdXGsjJi6+QuJUl5xVtVwfjp+6gPz8ApXHrIgENBO+RETGgYlbqjTaTizm7uCCIF//Co6GiIiIiGoqsViEoAA/tUktADAxFaOwsBCmpqZ6T0DV9KRWWZOzpY1iVTca1dLSHHl5ysnOqkhV0lYfdB0dXFEJX4C/H0RExYkEQSit5GiNl5mZCXt7e2RkZMDOzs7Q4VRZEqkErT7ph6dZGSrXyyYgO7fkV46wJSIiojJhf60Ir0PZqEoUWllZoPCFBC8KC2FvZ4vCwkJkF5vIrOQoT30cU9t9VqWElr6Ss9qwsDCvsMQm6ZemhG9D77ql/n6wxi9VFZU9saEh4jE2Ven9oSz9NSZutcAOsH6kZT5B53lD8DwvW2md7Fdi6/thrGVLREREZcb+WhFeh7JT9YHt6dN07D8YjcJCidrt+vQKLHPyVl29VW32WZ6Eb0WpzOQsVX9tWjXR+PrQdZSvpnUVmQyuSgkvdQyRKKwIFfU8lqe0iyq6TmxY2utY1y9EDPFFiq6vm4qcFLIiMHGrZ+wAl59UKsWIDTMQfS0OdRzdIBWkSEpPk6/35ARkREREVA7srxXhddAPqVTAD7v+i9y8fLVtbGysMHxwP6Sk/qvVB0ypVMDO8AjNdXVtrDBiaIjSPsqT8NWGrpN+MTlL+iQSAZWdnaioZHB5El6aVGairDxfFhni/HWJBdD9eVS3bWnvgX16BcKrQR2l87h3/5HG93lNSnsda9pvWSda1PaYlTmRYml/I3VV3r+tmjBxq2fsAJedRCpB3O14+QRjV/+5hfk/r4GlmQUOzf4OPu4NFNZzAjIiIiIqD/bXivA66Mejx6n47+/HS21XsoaqpqSGtvvs36876ni6yh+XJ+GrDV0SLOVJMJBuWA6i6ijPyGFdRz8C+k2UaZN81PX9oSLOvyLeq0p7HnVlYWEOUxMTZOe8PA9ra0tIJNIK+R2vLu8d6l43nTu1wekzlzT+jdRVef62loaJWz1jB7hsIi5GY074KiSlpyqtWzr8Y4zpPsgAUREREVF1xv5aEV4H/bh95wGios/ovL2qEVXZ2bk4evxsqdv26tkJPo3qyx/rmvAtTtdRSqo+KFdkgqEiqUuyA/pPalXUSDQmy6uG8owc1nX0Y2UrSpj54fSZeL2+P+hz9Gd5YzHECHAyPpr+tpZHWfprpno/OtVoERejMW7zbKh7f6tdy6lS4yEiIiIiKitrK8tybX/81AXExMYrjKiysDDT6dg5uXlqWipS107dKDXZKCVNVCVKcnK0i6cylTairLSyFqpuWy5tnZurs8bRf506tC7zPktb16dXYKWOqiTdlCfZp+r5yM7ONbrnKTs7F5FHlb9IKO/7g67nXxHvVUzaEqD93+CKxMQt6axkOYQOjVphTvgqtUlbEYB5e1fjNb9uLItAREREREbLw90FNjZWOt96mZ9fgJLVcfPzX5S6nZWlBdxca+PR41R54s7K0kKrY1pZWihsp+k24aKkS5xW+zUW5anhGBTgB1NTsdpRU2KxqMzrGnrX1Zhk1WWfpa0r7Zj6TkADlZvw5QhHIjI25f0iVx9YKkELvOVMmapyCE42DnianV7qtr9M34AgX/8KjI6IiIhqGvbXivA66E9FTXaiiUgkgoWFmcIt/WZmpnjxolDjdmKxCJaWFgojzKpiSQNda18CpdfqJfX0PXEVoHuJCWMbWUpENZex1LjliFsqM3XlELRJ2gJAauYTvcdERERERKRPDb3rqrw1vWStVF0o1Vu1toJILEJWVo7SvktL2gJFybWStwUbY0kDoPTkrKYSA+UZjUrqVcSIY11LTKhbX5XKOnDkcPVQXZ7H6jI5mSEEBfgZxd8QJm6pTCRSicZyCNpwtXPWWzxERERERBVFVXLKzbU2ftr7e7lmsO4c4AcbayvFfe75XeM26mYiLyyUoKCg9DIMlamikrOlKc+2VHYVkfDVtF6Xsg6GKPnQuiVHDlcH5XkedZ0sTdX7fHlfx927+Ou8bVWfLK+8k0Iay90aTNySRiXr2EoFqUJ5hLIQAfBwdEOAj59eYyQiIiIiqiiqElBBAX7lKqNgY22lsM9Hj1MVPqirkp9fgFdf6waRSCRPaAmCgIN/nNA5jvLQlGCoyOQsVX2lPf/6HuWraZ2+k8HVaeSwuqSdbGJDTV9eqXt/MMT565IMLe151GZbVe+B6uqOy3Tv4l8hI9nLs6269/KK+N1Rt660140sVm8v/b4/GAvWuNVCTa0VpqqOrYO1HdJzMsu8L9lLfuv7YQhp21NPERIREREVqan9tZJ4HSqPqhqf2oyoUlUz7/adB4iKPlPqMXv17ASfRvXLvJ2mWNSNUirtg3KfXoFG/2GXSBu61PgtbZ2m9erqA+s6+rEiEmWl1ZUurQa4pvcHfZ9/ed+rdH0etdlWlYqqx61LLOXdtiJ+d3Spq20sI2PLoiz9NSZutVATO8Dq6thqy9nWAU+y0uWPPR3dsHhIKJO2REREVCFqYn9NFV6HyqXqA2ZpI6r69ApU+pD56HEq/vv78VKP179fd6WRutpsV1osNeWDMpGx0PV3rjITZaUpz/uDvs+/qr1XlSfJWpNVp+vGxK2eVfcOcMlyCB0atUKnOW/rVBJBVg4hbvFenLtzRb7PAB8/mIhN9B88EREREap/f01bvA7GoaxJBKlUwM7wCI23HqsaqavNdqWVNChNdfqgTFQVVKXfuYqItSJGfxIZm7L011jjtoYomZyVJVJVlUNwsnHA0+z0Mh9D9pa4eEgozE3NEeTrr5/giYiIiIiqkNJqcZYkFotKrZuranZrbbYrrWZiaViPlqhyVaXfuYqIVdd9VqXrRlQWTNxWI2VJzno4uGJgh1exMXKnUjkEbZO2DjZ2SM9+We/Wg+UQiIiIiIgAlD2J0NC7Lvr0Cizz7b7abseEBhERUdXDUglaqAq3nJU1OasPez5YBxOxmOUQiIiIyOCqQn+tMvA6VH28TZiIiKh6Y6mEakzVqNpDl06onEgsKT0VX0fu1HsMsjq2Qb7tmKglIiIiItIj3iZMREREMkzcViGqRtW627sgv7CgQkbUqlK8ji2TtkRERERERERERBWDidsqIuJitMpRtckZaRV6XGdbBzzJSpc/Zh1bIiIiIpKTSoB7p4HnyUAtd8CrMyD7cl/XdUREREQEgInbKkEilWBO+KpKG1ULvCyHELd4L87ducI6tkRERESk6NoBIOITIPPxy2V2nkDI8qL/67KuxRsVkwwuTxLZmOKpCedIREREckzcGqGSdWylglShPIK+iQCFpHDxcgjmpuYI8vWvsGMTERERVXcbNmzAl19+ieTkZLRp0wbr1q1Dx44d1bbfu3cv5s6di3v37sHHxwfLli1Dv379KjFiLVw7APw0Eig5tCAzCfjpHdXblLpuJNBlGnB5r36Twbqua/FGxSSnjWmdsZ1jeRL3pa2vDuuMLR6eY/U/D56jccVT08/DEOdoBESCIFTmQM4qqTJn51VVx9beuhYycp6Xa7/qkrOTXh2BfeciFY7nyXIIREREVMVUZn+tLMLDwzFq1Chs2rQJnTp1wurVq7F3714kJCTA1VV5IqnTp0+jW7duCAsLw+uvv45du3Zh2bJl+Ouvv9CyZctSj1cp10EqAVa0UEy8VaiSPdnKWIeiJPKptSraGSKemnCO0D1xb2wJ6IpYx3M0rlhrwnnwHKvHOVaX8zDEObZ4AxWlLP01Jm61UFkfBNTVsdWVtsnZkiN8WQ6BiIiIqhpjTdx26tQJHTp0wPr16wEAUqkU9erVw9SpUzFr1iyl9kOHDkV2djYOHjwoXxYQEAA/Pz9s2rSp1ONVynW4exLYFlIx+zYmIjEgSA0dRcWqEudY1RLQNSHJznNUvw7V5Dx4jtXjHFFNzsMQ5whg+A8Vlrxl4lbPKqMDLJFK0P7TgTqVRBABcLCxh6WZOZLSX05WxuQsERER1RTGmLgtKCiAtbU1fv75ZwwYMEC+fPTo0UhPT8dvv/2mtE39+vUxY8YMhIaGypfNnz8f+/fvx6VLl0o9ZqVch0t7gb3vVcy+iXSi6QN4dcFzrDqqy3lownOsOqrLeWhSEecoAuw9gQ+vVkjZhLL011jj1kjE3Y7XOWkLACvemYW+bbqpTc6aiE1Yq5aIiIioEv3777+QSCRwc3NTWO7m5oabN2+q3CY5OVll++TkZJXt8/PzkZ+fL3+cmZlZzqi1UMu94o9BVCbVPSkB8ByrkupyHprwHKuO6nIemlTEOQpAxqOi2rcNu1bA/rXHxK2RSM18olU7Bxs7pGe/7JB7lKhHy+QsERERUc0RFhaGhQsXVu5BvToX1X/LTELN+EBIRERENdJz1V+cVyYmbo2Eq52zVu2+GbcEJmIxSx4QERERGbnatWvDxMQEKSkpCstTUlLg7q561Kq7u3uZ2s+ePRszZsyQP87MzES9evXKGXkpxCZFk3b8NBKqp8AVVPy/tHVGSCQGBAFGH2d51IRzJCIi0pUR3GUkNnQAVCTAxw8eDq7y0gcliVBUszbItx2CfP0xsEMfBPn6M2lLREREZKTMzc3h7++PqKgo+TKpVIqoqCgEBgaq3CYwMFChPQBERkaqbW9hYQE7OzuFn0rR4o2iSTvsPBSX23sCw38s+inTujpAlw9Q1Ost2SMWqfl/Ra4TAUFTK/mYlb3OmM6xnERi/e/T2PAcq47qch6a8ByrjupyHppUyDmKivomXp31vN+yY+LWSJiITfD50OkA1HdxFg8JZaKWiIiIqAqZMWMGtmzZgu+//x43btzApEmTkJ2djbFjxwIARo0ahdmzZ8vbf/DBBzh06BC++uor3Lx5EwsWLMD58+cxZcoUQ52Cei3eAD66BrwbAQz+tujfD68WLddlXd/Fek4Gl2fdD0YWT3U/x/Ik7o0pAV0Tkuw8R83rqst5aFrHc6z8eHRdV13OQ9O6CjzHfssqZGKyshIJgsD7YkpRmbMUR1yMxpzwVQoTlXmWqGNLRERERIoqs79WVuvXr8eXX36J5ORk+Pn5Ye3atejUqRMAoEePHvDy8sL27dvl7ffu3Ys5c+bg3r178PHxwfLly9GvXz+tjmXM10FrUknRZCDPk4tuUfTq/PKDU2WvM7Z4qvs5XjsARHwCZD5+GZt9naIPz4D6dS3e0H3bqrKO52hcsdaE8+A5Vo9zrC7nYYhzbPEGKkpZ+mtM3GqhsjvAEqkEcbfjWceWiIiISEvVImGpB7wOVOVVhwR0Ra0ztnh4jtX/PHiOxhVPTT8PQ5xjBWHiVo0NGzbIRzu0adMG69atQ8eOHUvdjh1gIiIiIuPG/loRXgciIiIi41aW/lqNqXEbHh6OGTNmYP78+fjrr7/Qpk0bBAcHIzU1tfSNiYiIiIiIiIiIiCpRjUncrly5EuPHj8fYsWPRvHlzbNq0CdbW1ti2bZuhQyMiIiIiIiIiIiJSUCMStwUFBbhw4QJ69+4tXyYWi9G7d2/ExsYaMDIiIiIiIiIiIiIiZaaGDqAy/Pvvv5BIJHBzc1NY7ubmhps3byq1z8/PR35+vvxxZmZmhcdIREREREREREREJFMjRtyWVVhYGOzt7eU/9erVM3RIREREREREREREVIPUiMRt7dq1YWJigpSUFIXlKSkpcHd3V2o/e/ZsZGRkyH/++eefygqViIiIiIiIiIiIqGYkbs3NzeHv74+oqCj5MqlUiqioKAQGBiq1t7CwgJ2dncIPERERERERERERUWWpETVuAWDGjBkYPXo02rdvj44dO2L16tXIzs7G2LFjDR0aERERERERERERkYIak7gdOnQo0tLSMG/ePCQnJ8PPzw+HDh1SmrCMiIiIiIiIiIiIyNBqTOIWAKZMmYIpU6YYOgwiIiIiIiIiIiIijWpU4lZXgiAAADIzMw0cCRERERGpIuunyfptNRX7rURERETGrSz9ViZutfD8+XMAQL169QwcCRERERFp8vz5c9jb2xs6DINhv5WIiIioatCm3yoSavqwBC1IpVI8fvwYtWrVgkgkqpRjZmZmol69evjnn39gZ2dXKcesKnht1OO1UY/XRjNeH/V4bdTjtdGM10e9irg2giDg+fPn8PT0hFgs1ss+qyL2W40Lr416vDbq8dpoxuujHq+Nerw2mvH6qGfofitH3GpBLBajbt26Bjm2nZ0df2nU4LVRj9dGPV4bzXh91OO1UY/XRjNeH/X0fW1q8khbGfZbjROvjXq8Nurx2mjG66Mer416vDaa8fqoZ6h+a80djkBERERERERERERkpJi4JSIiIiIiIiIiIjIyTNwaKQsLC8yfPx8WFhaGDsXo8Nqox2ujHq+NZrw+6vHaqMdroxmvj3q8NtULn0/1eG3U47VRj9dGM14f9Xht1OO10YzXRz1DXxtOTkZERERERERERERkZDjiloiIiIiIiIiIiMjIMHFLREREREREREREZGSYuCUiIiIiIiIiIiIyMkzcGqENGzbAy8sLlpaW6NSpE86ePWvokAzixIkT6N+/Pzw9PSESibB//36F9YIgYN68efDw8ICVlRV69+6N27dvGybYShQWFoYOHTqgVq1acHV1xYABA5CQkKDQJi8vD5MnT4azszNsbW0xaNAgpKSkGCjiyrVx40a0bt0adnZ2sLOzQ2BgIP744w/5+pp8bUpaunQpRCIRQkND5ctq6vVZsGABRCKRwk/Tpk3l62vqdSnu0aNHeOedd+Ds7AwrKyu0atUK58+fl6+vqe/JXl5eSq8dkUiEyZMnA6jZrx2JRIK5c+fC29sbVlZWaNSoERYvXozi0yvU1NdNdcJ+axH2W1Vjv1Uz9lu1x37rS+y3lo79VtXYb1XPqPutAhmV3bt3C+bm5sK2bduEa9euCePHjxccHByElJQUQ4dW6X7//Xfhs88+E3799VcBgLBv3z6F9UuXLhXs7e2F/fv3C5cuXRLeeOMNwdvbW8jNzTVMwJUkODhY+O6774SrV68K8fHxQr9+/YT69esLWVlZ8jYTJ04U6tWrJ0RFRQnnz58XAgIChM6dOxsw6spz4MABISIiQrh165aQkJAgfPrpp4KZmZlw9epVQRBq9rUp7uzZs4KXl5fQunVr4YMPPpAvr6nXZ/78+UKLFi2EpKQk+U9aWpp8fU29LjJPnz4VGjRoIIwZM0Y4c+aMcPfuXeHw4cPC33//LW9TU9+TU1NTFV43kZGRAgAhOjpaEISa/dpZsmSJ4OzsLBw8eFBITEwU9u7dK9ja2gpr1qyRt6mpr5vqgv3Wl9hvVY39Vs3Yb9UO+62K2G/VjP1W9dhvVc+Y+61M3BqZjh07CpMnT5Y/lkgkgqenpxAWFmbAqAyvZAdYKpUK7u7uwpdffilflp6eLlhYWAg//fSTASI0nNTUVAGAcPz4cUEQiq6DmZmZsHfvXnmbGzduCACE2NhYQ4VpUI6OjsLWrVt5bf7n+fPngo+PjxAZGSl0795d3gGuyddn/vz5Qps2bVSuq8nXRWbmzJlCly5d1K7ne/JLH3zwgdCoUSNBKpXW+NdOSEiI8O677yose+utt4QRI0YIgsDXTXXAfqtq7Leqx35r6dhvVcR+qzL2WzVjv1V77Le+ZMz9VpZKMCIFBQW4cOECevfuLV8mFovRu3dvxMbGGjAy45OYmIjk5GSFa2Vvb49OnTrVuGuVkZEBAHBycgIAXLhwAS9evFC4Nk2bNkX9+vVr3LWRSCTYvXs3srOzERgYyGvzP5MnT0ZISIjCdQD42rl9+zY8PT3RsGFDjBgxAg8ePADA6wIABw4cQPv27TF48GC4urqibdu22LJli3w935OLFBQU4Mcff8S7774LkUhU4187nTt3RlRUFG7dugUAuHTpEk6dOoXXXnsNAF83VR37rdrja/0l9lvVY79VNfZbVWO/VT32W7XDfqsiY+63mlbo3qlM/v33X0gkEri5uSksd3Nzw82bNw0UlXFKTk4GAJXXSrauJpBKpQgNDUVQUBBatmwJoOjamJubw8HBQaFtTbo2V65cQWBgIPLy8mBra4t9+/ahefPmiI+Pr/HXZvfu3fjrr79w7tw5pXU1+bXTqVMnbN++Hb6+vkhKSsLChQvRtWtXXL16tUZfF5m7d+9i48aNmDFjBj799FOcO3cO06ZNg7m5OUaPHs335P/Zv38/0tPTMWbMGAA1+3cKAGbNmoXMzEw0bdoUJiYmkEgkWLJkCUaMGAGAf8urOvZbtcfXehH2W1Vjv1U99ltVY79VM/ZbtcN+qyJj7rcycUtUhU2ePBlXr17FqVOnDB2KUfH19UV8fDwyMjLw888/Y/To0Th+/LihwzK4f/75Bx988AEiIyNhaWlp6HCMiuybVABo3bo1OnXqhAYNGmDPnj2wsrIyYGTGQSqVon379vjiiy8AAG3btsXVq1exadMmjB492sDRGY9vv/0Wr732Gjw9PQ0dilHYs2cPdu7ciV27dqFFixaIj49HaGgoPD09+bohqoHYb1WN/VbV2G9Vj/1Wzdhv1Q77rYqMud/KUglGpHbt2jAxMVGatS8lJQXu7u4Giso4ya5HTb5WU6ZMwcGDBxEdHY26devKl7u7u6OgoADp6ekK7WvStTE3N0fjxo3h7++PsLAwtGnTBmvWrKnx1+bChQtITU1Fu3btYGpqClNTUxw/fhxr166Fqakp3NzcavT1Kc7BwQFNmjTB33//XeNfNwDg4eGB5s2bKyxr1qyZ/LY8vicD9+/fx59//olx48bJl9X0187HH3+MWbNmYdiwYWjVqhVGjhyJ6dOnIywsDABfN1Ud+63a42ud/VZN2G9Vjf1W7bHfqoj91tKx36rMmPutTNwaEXNzc/j7+yMqKkq+TCqVIioqCoGBgQaMzPh4e3vD3d1d4VplZmbizJkz1f5aCYKAKVOmYN++fTh69Ci8vb0V1vv7+8PMzEzh2iQkJODBgwfV/tqoI5VKkZ+fX+OvTa9evXDlyhXEx8fLf9q3b48RI0bI/1+Tr09xWVlZuHPnDjw8PGr86wYAgoKCkJCQoLDs1q1baNCgAYCa/Z4s891338HV1RUhISHyZTX9tZOTkwOxWLGraWJiAqlUCoCvm6qO/Vbt1eTXOvutZcd+axH2W7XHfqsi9ltLx36rMqPut1bo1GdUZrt37xYsLCyE7du3C9evXxcmTJggODg4CMnJyYYOrdI9f/5cuHjxonDx4kUBgLBy5Urh4sWLwv379wVBEISlS5cKDg4Owm+//SZcvnxZePPNNwVvb28hNzfXwJFXrEmTJgn29vbCsWPHhKSkJPlPTk6OvM3EiROF+vXrC0ePHhXOnz8vBAYGCoGBgQaMuvLMmjVLOH78uJCYmChcvnxZmDVrliASiYQjR44IglCzr40qxWfnFYSae30+/PBD4dixY0JiYqIQExMj9O7dW6hdu7aQmpoqCELNvS4yZ8+eFUxNTYUlS5YIt2/fFnbu3ClYW1sLP/74o7xNTX1PFgRBkEgkQv369YWZM2cqravJr53Ro0cLderUEQ4ePCgkJiYKv/76q1C7dm3hk08+kbepya+b6oD91pfYb1WN/VbN2G8tG/Zbi7Dfqhn7rZqx36qaMfdbmbg1QuvWrRPq168vmJubCx07dhTi4uIMHZJBREdHCwCUfkaPHi0IgiBIpVJh7ty5gpubm2BhYSH06tVLSEhIMGzQlUDVNQEgfPfdd/I2ubm5wv/93/8Jjo6OgrW1tTBw4EAhKSnJcEFXonfffVdo0KCBYG5uLri4uAi9evWSd34FoWZfG1VKdoBr6vUZOnSo4OHhIZibmwt16tQRhg4dKvz999/y9TX1uhT33//+V2jZsqVgYWEhNG3aVPjmm28U1tfU92RBEITDhw8LAFSeb01+7WRmZgoffPCBUL9+fcHS0lJo2LCh8Nlnnwn5+fnyNjX5dVNdsN9ahP1W1dhv1Yz91rJhv7UI+62lY79VPfZbVTPmfqtIEAShYsf0EhEREREREREREVFZsMYtERERERERERERkZFh4paIiIiIiIiIiIjIyDBxS0RERERERERERGRkmLglIiIiIiIiIiIiMjJM3BIREREREREREREZGSZuiYiIiIiIiIiIiIwME7dERERERERERERERoaJWyIiIiIiIiIiIiIjw8QtEZGR6NGjB0JDQw0dhgKRSIT9+/cbOgwiIiIiMiLstxIRVQ6RIAiCoYMgIiLg6dOnMDMzQ61ateDl5YXQ0NBK6xAvWLAA+/fvR3x8vMLy5ORkODo6wsLColLiICIiIiLjx34rEVHlMDV0AEREVMTJyUnv+ywoKIC5ubnO27u7u+sxGiIiIiKqDthvJSKqHCyVQERkJGS3nPXo0QP379/H9OnTIRKJIBKJ5G1OnTqFrl27wsrKCvXq1cO0adOQnZ0tX+/l5YXFixdj1KhRsLOzw4QJEwAAM2fORJMmTWBtbY2GDRti7ty5ePHiBQBg+/btWLhwIS5duiQ/3vbt2wEo33J25coVvPLKK7CysoKzszMmTJiArKws+foxY8ZgwIABWLFiBTw8PODs7IzJkyfLj0VEREREVR/7rURElYOJWyIiI/Prr7+ibt26WLRoEZKSkpCUlAQAuHPnDvr27YtBgwbh8uXLCA8Px6lTpzBlyhSF7VesWIE2bdrg4sWLmDt3LgCgVq1a2L59O65fv441a9Zgy5YtWLVqFQBg6NCh+PDDD9GiRQv58YYOHaoUV3Z2NoKDg+Ho6Ihz585h7969+PPPP5WOHx0djTt37iA6Ohrff/89tm/fLu9QExEREVH1wX4rEVHFYqkEIiIj4+TkBBMTE9SqVUvhlq+wsDCMGDFCXj/Mx8cHa9euRffu3bFx40ZYWloCAF555RV8+OGHCvucM2eO/P9eXl746KOPsHv3bnzyySewsrKCra0tTE1NNd5itmvXLuTl5WHHjh2wsbEBAKxfvx79+/fHsmXL4ObmBgBwdHTE+vXrYWJigqZNmyIkJARRUVEYP368Xq4PERERERkH9luJiCoWE7dERFXEpUuXcPnyZezcuVO+TBAESKVSJCYmolmzZgCA9u3bK20bHh6OtWvX4s6dO8jKykJhYSHs7OzKdPwbN26gTZs28s4vAAQFBUEqlSIhIUHeAW7RogVMTEzkbTw8PHDlypUyHYuIiIiIqi72W4mI9IOJWyKiKiIrKwvvv/8+pk2bprSufv368v8X76ACQGxsLEaMGIGFCxciODgY9vb22L17N7766qsKidPMzEzhsUgkglQqrZBjEREREZHxYb+ViEg/mLglIjJC5ubmkEgkCsvatWuH69evo3HjxmXa1+nTp9GgQQN89tln8mX3798v9XglNWvWDNu3b0d2dra8kx0TEwOxWAxfX98yxURERERE1QP7rUREFYeTkxERGSEvLy+cOHECjx49wr///gugaIbd06dPY8qUKYiPj8ft27fx22+/KU2yUJKPjw8ePHiA3bt3486dO1i7di327dundLzExETEx8fj33//RX5+vtJ+RowYAUtLS4wePRpXr15FdHQ0pk6dipEjR8pvNyMiIiKimoX9ViKiisPELRGREVq0aBHu3buHRo0awcXFBQDQunVrHD9+HLdu3ULXrl3Rtm1bzJs3D56enhr39cYbb2D69OmYMmUK/Pz8cPr0afmsvTKDBg1C37590bNnT7i4uOCnn35S2o+1tTUOHz6Mp0+fokOHDnj77bfRq1cvrF+/Xn8nTkRERERVCvutREQVRyQIgmDoIIiIiIiIiIiIiIjoJY64JSIiIiIiIiIiIjIyTNwSERERERERERERGRkmbomIiIiIiIiIiIiMDBO3REREREREREREREaGiVsiIiIiIiIiIiIiI8PELREREREREREREZGRYeKWiIiIiIiIiIiIyMgwcUtERERERERERERkZJi4JSIiIiIiIiIiIjIyTNwSERERERERERERGRkmbomIiIiIiIiIiIiMDBO3REREREREREREREaGiVsiIiIiIiIiIiIiI8PELREREREREREREZGRYeKWiIiIiIiIiIiIyMgwcUtERERERERERERkZJi4JSIiIiIiIiIiIjIyTNwSEREAYMGCBRCJRIYOg4iIiKqZ7du3QyQS4d69e5V2zOXLl6Np06aQSqXyZSKRCAsWLCh128roE7HfZbyOHTsGkUiEY8eOGToUoiojICAAn3zyiaHDqJaYuCUiMiKyDzayH0tLS3h6eiI4OBhr167F8+fPDR0iERFRlafq722TJk0wZcoUpKSkGDo8vfnvf/8LsViM5ORkje1evHiBtWvXokOHDqhVqxZsbW3RoUMHrF27Fi9evKikaPUnMzMTy5Ytw8yZMyEW14yPvAcOHEC7du1gaWmJ+vXrY/78+SgsLNRqW6lUiuXLl8Pb2xuWlpZo3bo1fvrpJ6U227dvxxtvvIF69erBxsYGLVu2xOeff468vDyV+/3222/RrFkzWFpawsfHB+vWrSs1lldffRUikQhTpkzRKvbqRJvnQZP09HRMmDABLi4usLGxQc+ePfHXX38ptQsPD8c777wDHx8fiEQi9OjRQ+N+//rrL7zxxhtwcnKCtbU1WrZsibVr18rX37t3T+H9tOTP+PHjtT6H6urRo0cYMmQIHBwcYGdnhzfffBN3797VevvTp0+jS5cusLa2hru7O6ZNm4asrCyFNufOncOUKVPQokUL2NjYoH79+hgyZAhu3bqltD9Nz9err74qb6fpud29e7fCPmfOnIkNGzaU+veGys7U0AEQEZGyRYsWwdvbGy9evEBycjKOHTuG0NBQrFy5EgcOHEDr1q31fsw5c+Zg1qxZet8vERGRsZL9vc3Ly8OpU6ewceNG/P7777h69Sqsra0NHV65RUREwN/fH+7u7mrbZGdnIyQkBMePH8frr7+OMWPGQCwW49ChQ/jggw/w66+/IiIiAjY2NpUYefls27YNhYWFGD58uMLy3NxcmJpWv4/Af/zxBwYMGIAePXpg3bp1uHLlCj7//HOkpqZi48aNpW7/2WefYenSpRg/fjw6dOiA3377Df/5z38gEokwbNgwAEBOTg7Gjh2LgIAATJw4Ea6uroiNjcX8+fMRFRWFo0ePKowg3rx5MyZOnIhBgwZhxowZOHnyJKZNm4acnBzMnDlTZRy//vorYmNj9XNRyqFbt27Izc2Fubl5pR5Xm+dBHalUipCQEFy6dAkff/wxateuja+//ho9evTAhQsX4OPjI2+7ceNGXLhwAR06dMCTJ0807vfIkSPo378/2rZti7lz58LW1hZ37tzBw4cP5W1cXFzwww8/KG176NAh7Ny5E3369CnjlahesrKy0LNnT2RkZODTTz+FmZkZVq1ahe7duyM+Ph7Ozs4at4+Pj0evXr3QrFkzrFy5Eg8fPsSKFStw+/Zt/PHHH/J2y5YtQ0xMDAYPHozWrVsjOTkZ69evR7t27RAXF4eWLVvK26p6vs6fP481a9aofL6GDx+Ofv36KSwLDAxUePzmm2/Czs4OX3/9NRYtWqTVtSEtCUREZDS+++47AYBw7tw5pXVRUVGClZWV0KBBAyEnJ8cA0REREVUP6v7ezpgxQwAg7Nq1y0CRaUcikQi5ubmltqtXr54wf/58jW0mTJggABDWrVuntG79+vUCAGHixInlikd2vRMTE0uNWRtZWVka17du3Vp45513dN7//PnzhYr+qKzPYzRv3lxo06aN8OLFC/myzz77TBCJRMKNGzc0bvvw4UPBzMxMmDx5snyZVCoVunbtKtStW1coLCwUBEEQ8vPzhZiYGKXtFy5cKAAQIiMj5ctycnIEZ2dnISQkRKHtiBEjBBsbG+Hp06dK+8nNzRW8vLyERYsWCQAU4qkJtH0e1AkPDxcACHv37pUvS01NFRwcHIThw4crtH3w4IEgkUgEQRCEFi1aCN27d1e5z4yMDMHNzU0YOHCgvH1Z9OrVS7Czs9Pqvao6W7ZsmQBAOHv2rHzZjRs3BBMTE2H27Nmlbv/aa68JHh4eQkZGhnzZli1bBADC4cOH5ctiYmKE/Px8hW1v3bolWFhYCCNGjCj1OO+9954gEomEf/75R74sMTFRACB8+eWXpW4vCIIwZcoUoUGDBoJUKtWqPWmnZtw3QkRUDbzyyiuYO3cu7t+/jx9//FG+/ObNm3j77bfh5OQES0tLtG/fHgcOHFDY9sWLF1i4cCF8fHxgaWkJZ2dndOnSBZGRkfI2qmqt5ebmYtq0aahduzZq1aqFN954A48ePVKqESfb9u+//8aYMWPg4OAAe3t7jB07Fjk5ORVzQYiIiPTslVdeAQAkJiYCAAoLC7F48WI0atQIFhYW8PLywqeffor8/Hz5NjNmzICzszMEQZAvmzp1KkQikcLtxCkpKRCJRAojIPPz8zF//nw0btwYFhYWqFevHj755BOF/QOQ3zq+c+dOtGjRAhYWFjh06JDGc7ly5Qr++ecfhISEqG3z8OFDfPvtt3jllVdU3po+efJk9OzZE1u3blUYYacpnmvXruGVV16BlZUV6tati88//1yhzmxxf/zxB7p27QobGxvUqlULISEhuHbtmkKbMWPGyEf59evXD7Vq1cKIESPUnlNiYiIuX76M3r17K61TVeP21KlT6NChAywtLdGoUSNs3rxZ7b5//PFH+Pv7w8rKCk5OThg2bBj++ecfhTYnT57E4MGDUb9+fflzOn36dOTm5qrdb3lcv34d169fx4QJExRGE//f//0fBEHAzz//rHH73377DS9evMD//d//yZeJRCJMmjQJDx8+lI+ANTc3R+fOnZW2HzhwIADgxo0b8mXR0dF48uSJwj6BotdTdnY2IiIilPazfPlySKVSfPTRR1qctWay18yDBw/w+uuvw9bWFnXq1MGGDRsAFP1uvPLKK7CxsUGDBg2wa9cuhe1V1bjt0aMHWrZsievXr6Nnz56wtrZGnTp1sHz58nLHC2j/PKjz888/w83NDW+99ZZ8mYuLC4YMGYLffvtN4T2lXr16WpUQ2bVrF1JSUrBkyRKIxWJkZ2er/V0uKSkpCdHR0XjrrbdgaWmp1TYleXl54fXXX8exY8fQvn17WFlZoVWrVvLn5ddff0WrVq1gaWkJf39/XLx4UWH7y5cvY8yYMWjYsCEsLS3h7u6Od999V2GUcW5uLpo2bYqmTZsq/I4+ffoUHh4e6Ny5MyQSiU7xy/z888/o0KEDOnToIF/WtGlT9OrVC3v27NG4bWZmJiIjI/HOO+/Azs5OvnzUqFGwtbVV2L5z585Ko8R9fHzQokULhd9PVfLz8/HLL7+ge/fuqFu3rso22dnZKCgo0LifV199Fffv30d8fLzGdlQ2TNwSEVUhI0eOBFB02xJQ9OEoICAAN27cwKxZs/DVV1/BxsYGAwYMwL59++TbLViwAAsXLkTPnj2xfv16fPbZZ6hfv77KulfFjRkzBuvWrUO/fv2wbNkyWFlZafwAOGTIEDx//hxhYWEYMmQItm/fjoULF+rhzImIiCrenTt3AEB+6+q4ceMwb948tGvXTn5ra1hYmMJty127dsXTp08VEo4nT56EWCzGyZMnFZYBD1J0JgABAABJREFURbdhA0W3Nr/xxhtYsWIF+vfvj3Xr1mHAgAFYtWoVhg4dqhTb0aNHMX36dAwdOhRr1qyBl5eXxnP5/fff4erqivbt26tt88cff0AikWDUqFFq24waNQqFhYVKiWJV8SQnJ6Nnz56Ij4/HrFmzEBoaih07dmDNmjVK+/3hhx8QEhICW1tbLFu2DHPnzsX169fRpUsXpUnMCgsLERwcDFdXV6xYsQKDBg1SG+/p06cBAO3atVPbRubKlSvo06cPUlNTsWDBAowdOxbz589X6EPJLFmyBKNGjYKPjw9WrlyJ0NBQREVFoVu3bkhPT5e327t3L3JycjBp0iSsW7cOwcHBWLduncZrLJORkYF///231J/itS1lyaqSz7Onpyfq1q2rlMwq6eLFi7CxsUGzZs0Ulnfs2FFh/+rI6lnWrl271Jj8/f0hFouV9vngwQMsXbpU3tfUB4lEgtdeew316tXD8uXL4eXlhSlTpmD79u3o27cv2rdvj2XLlqFWrVoYNWqU/MsaTZ49e4a+ffuiTZs2+Oqrr9C0aVPMnDlT4XZ1AFo9h//++69CMrW8z8PFixfRrl07pYRsx44dkZOTo7LOaWn+/PNP2NnZ4dGjR/D19YWtrS3s7OwwadIktXWNZXbv3g2pVKrxSxZt/P333/jPf/6D/v37IywsDM+ePUP//v2xc+dOTJ8+He+88w4WLlyIO3fuYMiQIQqJ5cjISNy9exdjx47FunXrMGzYMOzevRv9+vWTf9FmZWWF77//Hn///Tc+++wz+baTJ09GRkYGtm/fDhMTEwBFyU1tn1sZqVSKy5cvq3wf7tixI+7cuaNxDpMrV66gsLBQaXtzc3P4+fmV+roQBAEpKSkKv5+q/P7770hPT1f7fC1cuBC2trawtLREhw4d5J9FS/L39wcAxMTEaDwelZFhB/wSEVFxmkolyNjb2wtt27YVBKHoFqRWrVoJeXl58vVSqVTo3Lmz4OPjI1/Wpk0bpdvVSip5y96FCxcEAEJoaKhCuzFjxggAFG69lG377rvvKrQdOHCg4OzsrPG4RERElU329/bPP/8U0tLShH/++UfYvXu34OzsLFhZWQkPHz4U4uPjBQDCuHHjFLb96KOPBADC0aNHBUEouh0ZgPD1118LgiAI6enpglgsFgYPHiy4ubnJt5s2bZrg5OQkv4X0hx9+EMRisXDy5EmF/W/atEkAoHBbOgBBLBYL165d0/ocu3btKowePVpjm9DQUAGAcPHiRbVt/vrrLwGAMGPGjFLjke3vzJkz8mWpqamCvb29QqmE58+fCw4ODsL48eMVtk9OThbs7e0Vlo8ePVoAIMyaNauUMy4yZ84cAYDw/PlzpXUl+y8DBgwQLC0thfv378uXXb9+XTAxMVHoE927d08wMTERlixZorC/K1euCKampgrLVZWzCgsLE0QikcJxVJVK6N69uwCg1J/iz+uXX34pABAePHigdNwOHToIAQEBKq7SSyEhIULDhg2VlmdnZ2t13Xv37i3Y2dkJz549ky+bPHmyYGJiorK9i4uLMGzYMIVlb7/9ttC5c2f5Y5SzVILsNfPFF1/Ilz179kywsrISRCKRsHv3bvnymzdvKr0uoqOjBQBCdHS0fJnsudmxY4d8WX5+vuDu7i4MGjRI4fjaPIcAhO+++06+TXmfBxsbG6V+uCAIQkREhABAOHTokMrtNJVKaN26tWBtbS1YW1sLU6dOFX755Rdh6tSpAgCl57Akf39/wcPDQ6cSCzINGjQQAAinT5+WLzt8+LAAQLCyslL4fdq8ebPSc6bqd/Gnn34SAAgnTpxQWD579mxBLBYLJ06cEPbu3SsAEFavXq3QRvZ3Q5sfmbS0NAGAsGjRIqVYNmzYIAAQbt68qfYayGIpGa8gCMLgwYMFd3d3tdsKQtHfGQDCt99+q7HdoEGDBAsLC4XfY0EQhPv37wt9+vQRNm7cKBw4cEBYvXq1UL9+fUEsFgsHDx5UuS9zc3Nh0qRJGo9HZVP9KrMTEVVztra2eP78OZ4+fYqjR49i0aJFeP78ucK3tcHBwZg/fz4ePXqEOnXqwMHBAdeuXcPt27cVJifQRDaypuRtblOnTsX27dtVbjNx4kSFx127dsW+ffuQmZmpcHsPERGRMSh5O32DBg2wc+dO1KlTBzt27ABQVAqhuA8//BArVqxAREQEevbsCRcXFzRt2hQnTpzApEmTEBMTAxMTE3z88cfYu3ev/G/vyZMn0aVLF3lZor1796JZs2Zo2rSpwggtWbmG6OhohVvTu3fvjubNm2t1Xunp6YiNjcXUqVM1tpP1HWrVqqW2jWxdZmamwnJV8fz+++8ICAiQjxIEim7XHjFiBL7++mv5ssjISKSnp2P48OEK525iYoJOnTohOjpaKY5JkyZpPBeZJ0+ewNTUFLa2thrbSSQSHD58GAMGDED9+vXly5s1a4bg4GD8/vvv8mW//vorpFIphgwZohCvu7s7fHx8EB0djU8//RQAFEaMZmdnIzc3F507d4YgCLh48aLCsUr66quv8OzZs1LP0dPTU/5/2e3dFhYWSu0sLS2VnreScnNz1W5bfP+qfPHFF/jzzz/x9ddfw8HBQWGf6ib2srS0VNhndHQ0fvnlF5w5c0ZjnLoYN26c/P8ODg7w9fXF33//jSFDhsiX+/r6wsHBAXfv3i11f7a2tnjnnXfkj83NzdGxY0elbYuXItOkRYsW8v+X53nQx/aqZGVlIScnBxMnTpSXfXnrrbdQUFCAzZs3Y9GiRSo/V9y6dQsXLlzA9OnTtSrJoEnz5s0VJsHq1KkTgKL3yeK/S7Lld+/eRY8ePQAo/i7m5eUhKysLAQEBAIC//voLXbt2la9fsGABDh48iNGjRyMrKwvdu3fHtGnTFGIJDg7W+rmVKe33s3gbXbbXtO3NmzcxefJkBAYGYvTo0WrbZWZmIiIiAv369VP4PQaA+vXr4/DhwwrLRo4ciebNm+PDDz9UeSemo6OjwvsklR8Tt0REVUxWVhZcXV3x999/QxAEzJ07F3PnzlXZNjU1FXXq1MGiRYvw5ptvokmTJmjZsiX69u2LkSNHonXr1mqPc//+fYjFYnh7eyssb9y4sdptSn4YcXR0BFB0axkTt0REZGw2bNiAJk2awNTUFG5ubvD19ZUnGmR/B0v+3XN3d4eDgwPu378vX9a1a1d5ou/kyZNo37492rdvDycnJ5w8eRJubm64dOkS/vOf/8i3uX37Nm7cuAEXFxeVsaWmpio8Lvn3WBPZB+3SZnOXJWU13aqrLrmrKp779+/LEyjF+fr6Kjy+ffs2gJdJ6pJK9hlMTU3V1l3UVVpaGnJzc1Umnnx9fRUSt7dv34YgCGq//DYzM5P//8GDB5g3bx4OHDiglITNyMjQGJPsNuOykCWnStZFBoqSVaWVHrCyslK7bfH9lxQeHo45c+bgvffeU0qqW1lZqa2FWTymwsJCTJs2DSNHjlSo/6kPlpaWSr9b9vb2qFu3rtKcDvb29lolzFVt6+joiMuXLyssU1VfuTS6Pg/62l7dPgFg+PDhCsv/85//YPPmzYiNjVX5O7Fz504AKHeZBED5s4W9vT2Aojq9qpYXfx6fPn2KhQsXYvfu3UrvpyV/F83NzbFt2zZ5vevvvvtO6bn28PCAh4dHmeIv7fezeBtdtle3bXJyMkJCQmBvb4+ff/5ZXu5BlV9++QV5eXlaP19OTk4YO3Ysli5diocPHyq9NwuCoHTtqHyYuCUiqkIePnyIjIwMNG7cWF7D6aOPPkJwcLDK9rIPm926dcOdO3fw22+/4ciRI9i6dStWrVqFTZs2KYxGKC91nQKh2IQtRERExqJjx44aa8AC0OoDaJcuXbBlyxbcvXsXJ0+eRNeuXSESidClSxecPHkSnp6ekEqlCiO8pFIpWrVqhZUrV6rcZ8nERFkSL7///juCgoLkyQx1ZPU0L1++DD8/P5VtZEmpkqNry1OLVNaH+eGHH+Du7q60vvgkW0DRaDNtR+45OzujsLAQz58/1ziSuCykUilEIhH++OMPlX0d2eheiUSCV199FU+fPsXMmTPRtGlT2NjY4NGjRxgzZkypEzs9ffq01Ml/gKJrL3tuZYmkpKQkpddMUlKSwuhnVTw8PBAdHa2UbElKSgKgOLpXJjIyEqNGjUJISAg2bdqkcp8SiQSpqalwdXWVLy8oKMCTJ0/k+9yxYwcSEhKwefNmpbrGz58/x7179+Dq6gpra2uN56CKuj5pefqq2m4rq/tbGnt7e/nvkS7PQ3EeHh7ytsVpu70qnp6euHbtGtzc3BSWy55TdcnuXbt2wdfXV6cvIkoqz/M4ZMgQnD59Gh9//DH8/Pxga2sLqVSKvn37qvxdlH3hlZeXh9u3byt9OZWbm1vqly8ysvc1JycnWFhY6PzcFP/9VrW9qm0zMjLw2muvIT09Xf73R5OdO3fC3t4er7/+usZ2xcnea54+faqUuE1PTy+1pi6VDRO3RERVyA8//ACg6Fadhg0bAiga5aHNN/uyb0fHjh2LrKwsdOvWDQsWLFCbuG3QoAGkUikSExMVvk3/+++/9XAmRERExk32d/D27dsKEwalpKQgPT0dDRo0kC+TJWQjIyNx7tw5zJo1C0DRF6cbN26Ep6cnbGxsFBIZjRo1wqVLl9CrVy+9jk4SBAGHDh3CRx99VGrb1157DSYmJvjhhx/UTp61Y8cOmJqaom/fvqXur0GDBvLRtMUlJCQoPG7UqBGAogSQLqMTNWnatCkAIDExUeOdRS4uLrCystI6XkEQ4O3tjSZNmqjd55UrV3Dr1i18//33CtdT29ur33rrLRw/frzUdqNHj5aXrZIl3M+fP6+QpH38+DEePnyICRMmaNyXn58ftm7dihs3bigk52WlC0om9M+cOYOBAweiffv22LNnj1KSvWRM/fr1ky8/f/48pFKpfP2DBw/w4sULBAUFKe1jx44d2LFjB/bt24cBAwZoPAdjo+2ozO+++w5jxowBUPbnoSQ/Pz+cPHkSUqlU4UuOM2fOwNraWuPrVh1/f39ERkbKJyeTefz4MQCovFvgzJkz+Pvvv7Fo0aIyH0+fnj17hqioKCxcuBDz5s2TL1f1+w4UfUG1aNEijB07FvHx8Rg3bhyuXLmi8OVXeHg4xo4dq9XxZQlksViMVq1a4fz580ptzpw5g4YNG2r8gqlly5YwNTXF+fPnFUp8FBQUID4+XmEZUJR07t+/P27duoU///yz1PI6SUlJiI6OxpgxY1SWY1BHVh6k5Gvg0aNHKCgoUJpkj8qnfAVHiIio0hw9ehSLFy+Gt7c3RowYAVdXV/To0QObN29W+S1sWlqa/P9PnjxRWGdra4vGjRurvO1GRjaKt3hNOgBYt25deU6DiIioSpAlnFavXq2wXDZCtnhtP29vb9SpUwerVq1SSER17doVd+7cwc8//4yAgACFJNeQIUPw6NEjbNmyRenYubm5yM7O1inuc+fOITU1VWXtwZLq1auHsWPH4s8//8TGjRuV1m/atAlHjx7Fe++9p1Wpgn79+iEuLg5nz56VL0tLS5PfOi0THBwMOzs7fPHFF3jx4oXSfor3YcpKVg9TVaKkOBMTEwQHB2P//v148OCBfPmNGzeUajq+9dZbMDExwcKFC5VGVwqCIO9nyUYBFm8jCALWrFmjVexfffUVIiMjS/355JNP5Nu0aNECTZs2xTfffAOJRCJfvnHjRohEIrz99tvyZRkZGbh586bCqME333wTZmZmCv09QRCwadMm1KlTR6HO8o0bNxASEgIvLy8cPHhQ7ajrV155BU5OTkqvqY0bN8La2lr+2hw2bBj27dun9AMUvZb27dunsvSGsdPmOYyMjFS4Y64sz0NSUhJu3ryp8Lvz9ttvIyUlBb/++qt82b///ou9e/eif//+ZUrKyciSgt9++63C8q1bt8LU1FReS7a4Xbt2AYBCWRhDUPW7CCi/nwPAixcvMGbMGHh6emLNmjXYvn07UlJSMH36dIV2shq32vwU9/bbb+PcuXMK70kJCQk4evQoBg8erND25s2bCu9H9vb26N27N3788UeFkjY//PADsrKyFLaXSCQYOnQoYmNjsXfvXoXawOrs3r0bUqlUbZkEVe/Fjx49wrZt29C6dWulLykuXLgAAAqvVyo/jrglIjJCf/zxB27evInCwkKkpKTg6NGjiIyMRIMGDXDgwAF5MfsNGzagS5cuaNWqFcaPH4+GDRsiJSUFsbGxePjwIS5dugSg6PbGHj16wN/fH05OTjh//jx+/vlnTJkyRW0M/v7+GDRoEFavXo0nT54gICAAx48fx61btwBod+soERFRVdWmTRuMHj0a33zzDdLT09G9e3ecPXsW33//PQYMGICePXsqtO/atSt2796NVq1ayWu8t2vXDjY2Nrh165ZSImPkyJHYs2cPJk6ciOjoaAQFBUEikeDmzZvYs2cPDh8+/P/s3Xd4VNX6NuBnT08yk94TSCBBOtJBepOioNKUoqgoKmAHUVREEAWxAAIi3UJRUdqhCShFepNOQkuAAElIIZM6dX9/8CU/UcCU2bNnJs99XbnOESZrvZPMbJJnr/Wu/2zjcCfr169HbGxsqQ8ymzZtGhISEjBixAhs2rSpZGXtb7/9hjVr1qB9+/b44osvSjXWmDFj8MMPP6B79+547bXX4OPjg3nz5iEmJua2PqC+vr6YM2cOnnrqKTRu3BgDBgxASEgILl++jPXr16N169aYNWtWmZ87AFSvXh316tXD1q1bMXTo0Hs+dsKECdi0aRPatm2LESNGwGq1YubMmahbt+5t9cbFxWHSpEkYO3YskpOT8dhjj8FgMCApKQmrVq3CCy+8gNGjR6NWrVqIi4vD6NGjcfXqVfj6+uLXX38tVf9UoHw9bgHgs88+wyOPPIKuXbtiwIABOHnyJGbNmoXnn3/+tpVvq1atwrPPPnvbSs/o6Gi8/vrr+Oyzz2CxWNCsWTOsXr0af/75J5YuXVoSgOXm5qJbt27Izs7GW2+9hfXr199WQ1xcXElQ5OXlhY8++ggjR45E//790a1bN/z5559YsmQJPv74YwQGBgK4tTq6eIX0P1WrVu1fK207dOiAHTt2uHwLrvKsIi/t9wEAxo4di++++w5JSUmIjY0FcCscbNmyJZ599lmcPn0awcHB+Prrr2Gz2TBhwoTb5tq5cyd27twJ4FYwl5+fj0mTJgG4tUugXbt2AIBGjRph6NChWLRoEaxWK9q3b4/t27djxYoVGDt27L+24NtsNvz0009o2bJlyar6OxEEoWQsqfj6+qJdu3aYOnUqLBYLoqKisHnzZiQlJf3rsZMmTcLRo0fx+++/w2AwoEGDBvjggw/w/vvvo1+/fiU38crT4xa4ddDz/Pnz8fDDD2P06NFQq9X48ssvERYWhlGjRt322Nq1a//ra/Pxxx+jVatWaN++PV544QWkpKTgiy++QNeuXW/bCTFq1CisXbsWvXr1QlZWFpYsWXLb2H8/WK/Y0qVLERkZeccQHrh1Tb9w4QI6d+6MyMhIJCcnY+7cucjPz7/jDaktW7agatWqaNSoURm+QvSfRCIichmLFy8WAZR8aDQaMTw8XHzwwQfFGTNmiEaj8V+fc+HCBXHIkCFieHi4qFarxaioKLFnz57iL7/8UvKYSZMmic2bNxf9/f1FLy8vsVatWuLHH38sms3mkseMHz9e/Oc/C/n5+eLIkSPFwMBAUa/Xi4899piYmJgoAhCnTJnyr8+9cePGHZ9PUlKSg75CREREFVf879PBgwfv+TiLxSJOmDBBrFatmqhWq8UqVaqIY8eOFYuKiv712NmzZ4sAxOHDh9/25126dBEBiL///vu/PsdsNouffvqpWLduXVGr1YoBAQFikyZNxAkTJog5OTkljwMgjhw5slTPrWnTpuKIESNK9dhiJpNJnDZtmtikSRPRx8dH9Pb2Fhs3bixOnz79tp8VSlPP8ePHxfbt24s6nU6MiooSP/roI3HhwoV3/Hlg27ZtYrdu3UQ/Pz9Rp9OJcXFx4jPPPCMeOnSo5DFPP/206OPjU6bn8+WXX4p6vV4sKCj4V93jx4+/7c927NghNmnSRNRoNGL16tXFb7755o4/E4miKP76669imzZtRB8fH9HHx0esVauWOHLkSDExMbHkMadPnxa7dOki6vV6MTg4WBw2bJh47NgxEYC4ePHiksfdbY7yWrVqldiwYUNRq9WK0dHR4vvvv/+v713x6/7vdYiiKNpsNvGTTz4RY2JiRI1GI9atW1dcsmTJbY9JSkq67WfUf348/fTT/6pp3rx5Ys2aNUWNRiPGxcWJ06ZNE+12+38+l7u9vpo0aSKGh4f/5+ff7TXTvn17sW7duv/685iYGPHhhx8u+e9t27aJAMRt27b95+c+/fTTYkxMzH/WVBql+T4Uz3mn91NWVpb43HPPiUFBQaK3t7fYvn37O17jil97d/r45/vDbDaLH374oRgTEyOq1WoxPj5enDZt2h3r37RpkwhA/Oqrr+76HHNzc0UA4oABA/7z6/HP70uxO70+il+fn332WcmfpaSkiL179xb9/f1FPz8/sX///uK1a9due56HDx8WVSqV+Morr9w2ntVqFZs1ayZGRkaK2dnZ/1nrf7ly5YrYr18/0dfXV9Tr9WLPnj3Fc+fO3fG5tW/f/l9//ueff4qtWrUSdTqdGBISIo4cOfJfvxe2b9/+nu/Rf0pISBABiG+++eZd6162bJnYrl07MSQkRFSpVGJwcLDYu3dv8fDhw/96rM1mEyMiIsT333+/FF8RKgtBFF38dhUREbmUo0ePolGjRliyZIlDToslIiIix0hLS0NERATWrVt3W2/RyiYnJwfVq1fH1KlT8dxzz8ldDjlAbm4uAgMDMX36dIwcOVLucqicNmzYgJ49e+LYsWOoX7++3OWQA61evRqDBg3ChQsXyrUyme6OPW6JiOiuCgsL//Vn06dPh0KhKNlGRURERK4hJycHH3zwwb/aOFQ2fn5+GDNmDD777LM7nh5P7mfnzp2IiorCsGHD5C6FKmDbtm0YMGAAQ1sP9Omnn+Lll19maCsBrrglIqK7mjBhAg4fPoyOHTtCpVJh48aN2LhxI1544QXMnTtX7vKIiIiIiIiIPBaDWyIiuqstW7ZgwoQJOH36NPLy8lC1alU89dRTeO+99247GZuIiIiIiIiIHIvBLREREREREREREZGLYY9bIiIiIiIiIiIiIhfD4JaIiIiIiIiIiIjIxbBBIRERERERkYuw2+24du0aDAYDBEGQuxwiInJBoigiNzcXkZGRUCi4JtOTMbilSkPqH3xr1qyJH374Ac2aNZN0Hiq91NRUvPPOO1ixYgUKCgqcPr9Wq8Xs2bPx7LPP8h/TMrLb7Vi4cCFefvllmM1mp8/v7e2Nxx9/HFOmTEFYWJjT56c7279/P4YMGYKzZ89KOg/b/xORnK5du4YqVarIXQYREbmBK1euIDo6Wu4ySEIMbokcxGKxwGq1yl0G/X92ux1XrlzBqVOnZAn+AMBgMCAwMJChbTkIgoDAwEAYDAZkZmY6fX6z2YyTJ0/iypUrCAkJ4ffQRVgsFtnez0REzmIwGAAAVw4CvnqZi5FSqNwFSOyy3AU4gbfcBUgsPFbuCqR3MFnuCqSVIXcB0jEWAFWG/t+/GeS5GNwSOUhRUREDBReSkZGBuXPn4tSpU7IE6oIgoHHjxmjcuLHT5/YExV+/Ro0aYevWrU6f32q14tSpU5g7dy4++eQThISEOL0G+jez2czrLBF5vOJdYr56wNeTfx/3lbsAiXny966Ypwe3vpXgxr2P3AVIzPmbLp2OLXU8XyW4EhE5h91uh81mk7sMApCXl4eZM2dixYoVKCwslKWG0NBQDB06lFsdKyAmJgZDhw6VLTQtLCzEihUrMGvWLOTl5clSA92O11kiIiIiIqpMGNwSOYiPjw90Op3cZVR6FosFq1atwsKFC2E0GmWpwcfHByNHjkS/fv24xb4CFAoFHn/8cYwYMQI+PvIsB8jJycGCBQuwevVqWCwWWWqg/6PT6WR7LRARERERETkbEwUiBxAEAfHx8QgPD5e7lEovOTkZixYtQmpqqizz+/j44IUXXsDo0aOhVCplqcGTKJVKjBkzBs899xy8veXZj3f9+nUsWrQIly5dkmV++j8RERGIj4/nljAiIiIiIqoUGNwSOUBQUBC6d++OyMhIuUup1KxWK7Zs2YJ9+/bJciq8Wq1Gnz598Oabb8LLy8vp83sqb29vjB49Go8++ijUarXT5xdFEXv37sXWrVu5TV9mUVFR6NatGwIDA+UuhYiIiIiISHI8nIyoDARBgEqlglqthlKphFarRXh4OF588UUMHjyYrRJklpWVhYULF6KoqEiW+atXr47BgwczwJdAZGQknnzySRw8eBDnz593+vxFRUVYsGAB+vbty4PKZKTT6fDMM89ArVZj3rx5uH79OsxmM2w2GywWC6xWqyw3bYiIiIiIiKTA4JaolBQKBcLCwtC6dWs0bdoUUVFRiImJQY0aNRASEsJt8RLIy8vDlStXkJ2dDeBWG4Lw8HAEBARArVbftl3aZDJh8+bNSEhIkKVWhUKBKlWqICYmhtu4JaBQKBAbG4sqVarg4sWLsNvtTq/hzJkz2Lp1K/r06QOtVlvy56IowmKxIDs7G6mpqcjPzwcABAQEoEqVKtDr9U6v1ZMFBgZixIgR6N+/P86ePYvLly/j6tWrOHjwIPbs2YO0tDRZXh9ERERERESOxuCWqJQ0Gg3at2+Pt956C7Vq1YJWq4VCoWBIJwG73Y4jR45gxYoV+OOPP3D58mUAtwKbBg0aoEaNGqhbty6aNWuG0NBQ2Gw2nD17FkuXLpVtta0oikhNTcWlS5cQHx8PlYqXV0ey2WxITk5Genq6bCsqi4qK8MMPPyAuLg41atSAUqlEWloaDh48iNOnT+Ps2bM4ceIEsrKyIAgCqlSpgs6dO6Nfv35o3LgxD6pzIKVSifDwcISFhcFut8NkMuHMmTOYOnUq1qxZA5PJJHeJREREREREFcZkgaiUBEFAbGwsYmNj4eXlxcBWQidPnsTo0aOxd+9emM3mkj9PT09HQkICVCoVgoKCEBcXh9q1ayMwMBDnz5/HwYMHZVtpJ4oiLly4gNmzZ6NKlSqoXbs2XyMOIooiEhIS8PXXX+PChQuyBbd2ux0HDhzAlClTUKNGDdy4cQNnzpzBxYsXkZWVBavVetvj09LScPz4cezfvx8zZ85EvXr1ZKnbkwmCAKVSCS8vr5LrMwNyIiIiIiLyFAxuiUrJYrEgNzcXABjISaioqAjff/89du3addeDoKxWK9LS0pCeno6DBw9CrVbDbrffFvLKobCwEBs3bkRSUhIWLlyIRo0ayXKYliexWCw4cuQInn/+eSQkJPwrHHW27OxsbNq0Cb/99lupeqqazWb8+eef+P777/HRRx/d1mKBHKf4mpybmwuLxSJzNURERERERI7BZSlEpWSz2ZCQkFAS3pI0cnNzsXz58ruGtn9X3Fu0oKAARUVFLtHX0mq14uTJk+jfvz9+/fVXFBQUyF2S2yooKMCKFSvQr18/nDx5UvbQFri16rawsBAFBQWwWCylWv1rs9mwbNkyXjskZjQaXSLcJyIiIiIichQGt0SlVLxdOysrS+5SPFp2djYyMjLkLqPCLl++jHHjxuGPP/4oVQhNt7PZbPj999/xwQcfICUlRe5yKuzGjRvIycmRuwyPlpmZibNnz8pdBhERERERkcMwuCUqg6ysLGRmZsrWY7MyuHbtmsesmLtw4QIWLVrEsL8cMjIysHDhQly8eFHuUhzCarXi6tWrcpfhsURRRGZmJt9rRERERETkUdjjlqgMLBYLV83dhc1mQ3p6Oi5cuAAAiI+PR2hoaJkOChJFETt37nSJlgeOIIoiDhw4gOzsbISEhMhdjlvJysrCgQMHPOYmid1ux86dO9G2bdsy9ci22+1IT0/H+fPnAQBxcXEIDQ2FUqmUqlS3lZOTw/62RERERETkUbjilqgMBEGASsX7Hf9kt9vx119/4Y033kD//v3Rr18/vP7669i/f3+ZVs/evHkTa9askbBS51MqlTzlvhwUCoXHhZNr1qzBzZs3S/14i8WCffv24bXXXkO/fv3Qv39/vPnmmzh69KjH3NxwJLVazYMjiYiIiIjIozBNICoDLy8vBAUFMRz4h0uXLmHs2LFYuXIlUlNTkZaWhpUrV2LMmDHYs2dPqUImk8mERYsWeVyPyrp168LX11fuMtyOr68v6tatK3cZDpWQkIBvv/0WJpPpPx9rt9uxe/dujBkzBqtWrUJaWhpSU1Px66+/4p133sHly5edULH7EAQBgYGB8PLykrsUIiIiIiIih2FwS1QGVatW5Zb3f8jMzMRLL72Ebdu23bZN2WKxYM+ePRg2bBg2bdoEs9l8x8+32+3Izs7GV199halTpyIvL89ZpUtOo9GgU6dO8Pf3l7sUtxMYGIiOHTtCrVbLXYrD5OXl4dNPP8WsWbOQnZ191xsaZrMZGzZswLBhw7B3795/va+2bduG4cOHs5/rP4SGhqJKlSpyl0FEREREROQw3PNNVEqCIKBp06YIDg6WuxSXYLPZcOHCBbz++uv4/fffYbPZ/vUYu92Os2fPYuDAgejduzeefPJJhIWFQaVSwWq1Ii8vD/v378esWbNw6dIljzmUrFitWrXQunVraDQauUtxO1qtFq1atcJ9992HU6dOyV2Ow6SlpeGdd97BN998g1deeQXNmjWDXq8veU+kpaXhhx9+wKpVq5Cbm3vHMWw2G7Zs2YKnn34aX3zxBeLi4jyurUR5hISEoEmTJjh9+rTH9EYmIiIiIqLKjcEtUSmpVCpUrVqVW3Fxa+Xg2rVrMW/ePPz555//2QrBaDTiu+++w7Jly+Dj4wOlUgmTyYSioiKPC2uLaTQaPPDAA6hdu7bcpbitevXqoWXLljh79qxHHTpltVpx/vx5vPbaa1CpVNDpdNBqtbDZbMjPzy/Vc7XZbNiwYQPy8vIwbNgwPPLII9Dr9U6o3nXpdDpUqVIFKpXKo14vRERERERUeTG4JSolQRAgimKlPhTIYrHg4MGDWLRoEdauXYsbN26U+fPLcjiTO9NqtYiJiWHQXwFeXl6oWrUqtFqtxwZxxSvPy9MixG63Y/v27Th9+jS2bduGoUOHolmzZpX2AMXi6zN7kBMRERERkadgj1uiUrJarTh27BhSU1MrZXibl5eHRYsWYejQofjuu+/KHNpWNlarFVevXr3rdnf6b0ajEVevXvXY0NZR0tPT8e2332Lo0KFYvHixR/WJLi273Y7r16/j5MmTHruKn4iIiIiIKh8Gt0SlZLfbsW3bNkyfPh1HjhzBjRs3UFBQAKvV6vH9FEVRxL59+/DJJ5/g7NmzDEZKoaioCGvWrMF3332H69eve/xrxJFEUURKSgoWL16MdevW3fVgO/o/VqsViYmJmDRpEg4cOODxrzdRFGG1WlFQUID09HQcPnwY06dPx7Zt2yrljTUiIiIiIvJMlXM/JVE55ebmYsGCBdi1axcaN26MKlWqICQkBA0aNEDDhg3h6+srd4mSsNvtSEpKQnp6uscHQo4iiiKuXr2KSZMm4ejRo+jVqxc6dOiAkJAQbuW+C1EUkZ6ejj/++ANr167Fhg0bYDQa5S7LbRR//ZKTk2G32z32wDKj0Yi//voLJ06cQHp6OlJSUnD48GEkJibCZDLJXR4RVXJz5szBnDlzkJycDACoW7cuPvjgA/To0UPewoiIiMgtMbglKiOTyYRjx47hxIkTUCqVJQfi9OjRAy+//DJiY2PlLtHhFAoFoqKioNVqUVRUJHc5bkMURdy8eRNLly7Fli1b0LhxY3Tt2hWDBg1igPs3oigiLS2t5Ot05MgRZGRk8CZBOWi1WkRFRUGh8MwNNUlJSZg9ezY2btyIK1euoKioCDabjatsichlREdHY8qUKahRowZEUcR3332HRx99FH/99Rfq1q0rd3lERETkZgSRvxlTJSF1SKbT6dCtWzd8/fXXiIyMlHQuOaSkpGDEiBFYt24dA7VyEgQBXl5eCA0NRY8ePfDiiy8iLi4OPj4+lS7EtdvtKCgowLlz5zBnzhxs3rwZ6enpKCwslLs0tyUIAh555BGPvwZt2bJF8htIvMYRkSMFBgbis88+w3PPPVeqxxuNRvj5+SHnDOBrkLg4OYXJXYDELsldgBN4y12AxCKqy12B9PZdlLsCaXnwsSzGAsBvAJCTk+OxO3/pFq64JXKQoqIirF27FsHBwZg5cya8vLzkLsmhIiMjMWTIEBw6dAjXr1+Xuxy3JIoiCgoKkJycjG+++QbLli1Dz549MXToUDRp0gQGg8FjV0oWs9vtyM3NxYEDB7Bo0SK2Q3CgiIgIPP3004iIiJC7FIcrKCjABx98wBtHRORWbDYbVqxYgfz8fDzwwANyl0NERERuyLMTAiInE0URP/74I3788UePCxcUCgW6dOmCTp06eWzvTGcSRRE5OTn48ccf8corr2DFihXIysry6C3fdrsdWVlZ+Omnn/Dqq69ixYoVDG0dRKlUlrw/PW31dvF19aeffvK46yoReaYTJ05Ar9dDq9XipZdewqpVq1CnTp27Pt5kMsFoNN72QURERAQwuCVyuPz8fCxYsACXLnne/ih/f38888wzCAwMlLsUj2Gz2XD+/HmsXbsW169f9+hgqvjAttWrV+PChQuw2Wxyl+QxgoKCMGTIEPj5+cldisMlJydj/vz5KCgokLsUIqJSqVmzJo4ePYr9+/dj+PDhePrpp3H69Om7Pn7y5Mnw8/Mr+ahSpYoTqyUiIiJXxuCWSALHjh3DmjVrPDKEa9WqFcLCPL0pmXPZbDaIoggfHx+PbpWgUCjg7e0Nu93u0SuL5RAaGopWrVrJXYbD2e12rF69GidOnJC7FCKiUtNoNIiPj0eTJk0wefJk3H///ZgxY8ZdHz927Fjk5OSUfFy5csWJ1RIREZEr89yEgEhGxYcu5efny12Kw2m1Wvj7+8tdhkdRq9W4//77ERER4XHb3P9OEARERUWhfv36bLfhYEFBQdBoNHKX4XDF11KutiUid2a322Eyme7691qtFr6+vrd9EBEREQEMbokkIYoisrKyUFhYKHcpDme1WhmiOJher0fXrl2h0+nkLkVyXl5e6NatG3x8fOQuxaPk5+d7ZOuJgoICZGVleeTuBSLyTGPHjsXOnTuRnJyMEydOYOzYsdi+fTsGDx4sd2lERETkhlRyF0DkiQRBgI+PD9RqtdylONypU6eQmpoqdxkeJTg4GA0aNPDo1bbFBEFAo0aNEBgYiOzsbLnL8Ripqak4deoUGjVqJHcpDqXRaKDX6yEIAsNbInIL6enpGDJkCK5fvw4/Pz80aNAAv/32Gx588EG5SyMiIiI3xOCWSAK+vr5o0KAB9Hq93KU4VHp6OqZOnYq0tDS5S/EowcHBlWoFqsFgQFBQEC5cuCB3KR7j+vXr+OyzzzBjxgyEhITIXY7D6PV61K9fH76+vsjJyZG7HCKi/7Rw4UK5SyAiIiIPwlYJRA6mVCrRrl079OzZEyqVZ9wbsdvtOH36NN5//32sWbPGI7dky8lqtVaq1YSiKPI15GA2mw2rV6/GuHHjcObMGY85/E2lUqFXr15o27Yt+yITEREREVGl4xmpEpGLEAQBNWvWxBtvvIGYmBi5y6kwURSRnp6OpUuXYtWqVdi3bx+sVqvcZXmcjIwM5ObmIigoSO5SnMJoNCIjI0PuMjxOYWEhFi5ciDNnzqB3794YOHAgQkND3b4FR2xsLN544w2cP38eiYmJleomBxERERERVW5ccUvkIIIgICoqCuPGjUPr1q2hULj328tisWDTpk0YOHAgPvzwQ+zatYuhrUQyMjKwf//+ShFIiaKIvXv3sr+tRKxWK3bu3IkPPvgAAwcOxObNm2GxWOQuq0IUCgXatGmDcePGISoqyu2DaCIiIiIiotJy72SJyIX4+flh6NCh6N69OzQajdzlVIjVasWPP/6Ip556Ctu3b0dubq7cJXm0vLw8/PLLL8jPz5e7FMnl5eXh119/rRTPVU65ubnYvn07nnzySfz0009uf9NFo9HgoYcewjPPPAM/Pz+5yyEiIiIiInIKBrdEDiAIAsLDw9GyZUuPOJAsISEB7733HjIzMyvFKlC52Ww2JCYmIjk52aO/3qIoIikpCQkJCR7Tg9WViaKIjIwMvPvuu0hISJC7nArT6/Vo0aIFwsLCuOqWiIiIiIgqBQa3RA4iiiJUKpXbBwqiKGLjxo1ITU2Vu5RKpaCgADdv3vT44DY7OxtFRUVyl1KppKWlYdOmTW7/2hIEAWq12u2fBxERERERUWkxuCVyAFEUkZqaitOnT8NkMsldToWIoohr165xRaQT6XQ6NGzYEFWrVnX74P9eBEFATEwM6tatC61WK3c5lYbNZsO1a9fcPvA0mUw4deoU0tLS3P65EBERERERlQaDWyIHMRqNWLRoEQ4dOuTW/SQVCgXq168PpVIpdykeT61WIzY2Fs888wzGjx+P6Ohojw9uq1SpgokTJ2Lw4MGoWrUq1Gq13GV5PJVKhfr167v1gYlWqxUHDhzA4sWLYTQa5S6HiIiIiIjIKQSRy1aoknBGIKZUKtG2bVu8//77aN26NXQ6neRzSiElJQUtWrTAtWvX5C7FI2m1WjRq1Aht27ZF165d0apVK3h7e8tdllPl5eVh165d2Lx5M/78808cO3YMFotF7rI8UlRUFPbt24fo6Gi5SymXoqIi7Nq1C5MmTcKuXbtgs9kkn5M/GhGRnIxGI/z8/JBzBvA1yF2NhMLkLkBil+QuwAk8/cfXiOpyVyC9fRflrkBaN+QuQDrGAsBvAJCTkwNfX1+5yyEJqeQugMiT2Gw27Nq1C2PGjMGIESPQr18/tzwBPSIiAi+++CImTJjAlgkOpFAo0Lx5c7zwwgto0aIF4uLiKm3LAL1ej+7du6NDhw44d+4c9u/fj7lz5+LIkSN8zTmQQqHASy+9hMjISLlLKZecnBysWLECs2fPxsmTJ50S2hIREREREbkKrrilSsOZW9AVCgUCAwPRv39/vP/++4iIiHC7LfBJSUno168fjhw5IncpHsHb2xvDhg3D6NGjERERwVYU/2Cz2XD16lVMmTIF3377LQoLC+UuySM0adIEv/zyC2JjY+UupUxEUcTVq1fx8ccfY8WKFcjOznZqoM8fjYhITlxx6yG44tb9ccWt++OKW/IA7tvwjsiF2e12ZGRkYO7cuejfv79b9r2NiYnBqFGj3HLFsKtRqVQYNmwYPv30U0RHRzO0vQOlUomqVaviyy+/xHPPPcevkQP4+/tj9OjRqFq1qtyllInVasXBgwfRr18/zJs3D5mZmVyFTURERERElRKDW6o0Ro8ejeHDh6NLly5OuyNlt9uxb98+jBgxwmm9GR1FoVCgbdu2aNWqldyluL2oqCiMHTu20rZFKAudTod3333Xbbf2u5LWrVujTZs2bnUomc1mw86dOzF8+HAcPHjQaYGtn58funTpgpEjR2L06NFOmZOIiIiIiOi/sMctVRqffPIJLBYL0tLScP78eaxduxYLFixAUVGRpPPa7XYcOXIE48aNw4IFC1CzZk1J53OkqKgoNGnSBH/88QdMJpPc5bitFi1aICgoSO4y3EZISAhatGiBK1euyF2K29LpdGjSpInbBeBnz57F+PHjcfToUaeEtjqdDsOGDcMjjzyC+Ph4hIaGQq1WSz4vERERERFRaTC4pUpDrVZDrVajWrVqqFatGlq3bo3WrVtj3LhxuHDhgqQ9DYtX3i5evBgTJ06ERqORbC5HUigUaNSoEQwGA4PbCvD393erVY9yEwQBgYGBcpfh1nx9fdGwYUO3et2ZTCZ8++232Ldvn+ShrSAIqFGjBj766CP06tULXl5eks5HRERERERUHu7zGx2Rg3l7e2PAgAH45ptvUL269I3nrVYrFi1ahGvXrkk+lyMplUq3O1jN1Rw6dAgWi0XuMtyG1WrF4cOH5S7DrQmC4HZ9gq9evYrFixc7pR94XFwc5syZg8cff5yhLRERERERuSyuuKVKr3Pnzvjwww/x3HPPwWw2SzpXTk4OTp48iZiYGLcIQy0WC44ePYq8vDy5S3FrZ8+excmTJ9GkSRO5S4HZbMapU6ewb98+ZGRkAACCg4PRsmVL1K1b1yVWg586dQqJiYlyl+HWcnNzcezYMfTo0cMttv6LoohTp07h5s2bks+l0WgwceJEdOrUSfK5iIiIiIiIKoLBLRGAxx57DJs3b8YPP/wg6TyCIEjaksGRRFHE/v37sXr1asn7AHu6/Px8fPHFF/juu+9kC9FEUcSxY8fwwQcf4Ny5c7h69SoKCwsBAF5eXoiKisJ9992HiRMnokGDBrLdWLBYLPj888+Rn58vy/yeorCwECtXrkTnzp3xwAMPuMWNIrvd7pTWDgMHDsSjjz4q+TxEREREREQVxVYJRAD0ej0GDBgArVYr2RyCIKBevXpo1KiRy4coeXl52LJlC4YNG4bjx4+7TdjsqkRRxM6dO/H777/LMn9eXh4+++wzdO/eHevWrUNCQgJyc3NhtVphtVqRm5uLhIQE/O9//0P37t3xxRdfoKCgQJZat27dip07d/I1V0GiKOL48eN47rnnsHXrVpdfNS8IAho3boy6detKen3UarUYOHAgvL29JZuDiIiIiIjIURjcEv1/UVFRiIuLk2RsQRBQt25dTJ482aVPeS8oKMCuXbvwzjvvoE+fPkhISHDKye6VQVpaGjZv3uz0XrdFRUWYPXs2PvroI6Slpd0zEBVFEampqZg4cSJmz57t9APpzGYzfvvtN6Smpjp1Xk9lt9uRkJCA3r17Y+zYsdi1a5dsgXxpREZG4pNPPpE0vI2Li3PpazAREREREdHfMbgl+v9CQkIQHx/v8HH/Htq2a9fOZU95NxqNmDlzJp5//nnMmTOHW9UdzGazITMzs6Q9gbMcOnQIX3zxRZlWXObm5uKzzz7DkSNHJKzs3/Lz85Geng6bzebUeT1dfn4+vv76awwbNgyzZs1Cbm6u3CXdkVKpRIcOHfDJJ5+gdu3aksxx3333ITg4WJKxiYiIiIiIHM01EyQiGahUKuh0OoePGxoais8//xzdunWTtBVDRYiiiJ9//hlTpkxBYmIiV9lKQBAEqNVqpwb3NpsNY8eOxY0bN8r8uTdu3MDYsWOdGqIqFAoolUqXbyXijopX306ZMgU///yzy7ai0Gq1Je06QkJCHD6+TqeDSsX2/kRERERE5B742wvR/2c0GnHt2jWHjqlQKPD666/jwQcfdNmVtsCtFXkzZ850yonulVVAQACaN2/u1N6aJ06cwLFjx8r9+UePHsXJkydx//33O7Cqu9Pr9WjYsCHWrl0Lo9HolDkrm+zsbMyaNcul+7yq1Wo8+OCDePXVVzF+/HiH3ki6du0ajEajJKEwEZHD2f7/h6dStZK7Amkp9shdgfQi7pO7AolVgvZdLRvIXYG0dh6XuwLpMM2rNFw3SSJysmvXruHMmTMOHdNgMOCJJ55w6dAWuNVbNDs7W+4yPFZgYCBGjBiBgQMHOvW18PPPP1eoNUNBQQFWrFjhwIruTalUYsiQIXj66afh5eXltHkrm6ysLBQVFcldxj0plUoMGDAAer3eoeOeOnUK169fd+iYREREREREUnHtNInISaxWK44ePerw8FKr1brsqra/02g0CAwMlLsMj+Pj44P+/fvj66+/xjvvvAODweC0uUVRxLlz5yrU6sBqteL8+fNO3VYfEhKCDz/8EJ9//jmaN28OpVLptLkri8DAQEnawjiaj4+Pw+vMzs7G0aNH2UeZiIiIiIjcAoNbItzq5/n55587vLdrbm6uW7Qf8Pb2Rp8+fRiSOYi3tzcGDx6M7du3Y86cOejfv78sAb7FYqnwGGaz2QGVlE1gYCBeeOEF/PLLL/j555/RoEEDqNVqp9fhiZRKJfr06eMWwW12drbDD1Kz2+347LPPkJGR4dBxiYiIiIiIpMDgliq97OxsvPbaa7hy5YrDxy4sLMTs2bMdEqBJSaFQYODAgahZsyYPhqoArVaL1q1bY+fOnfjuu+/QtGlTBAUFydIqQxAEBAcHV+j7qVAoKjxGealUKlSpUgV9+vTBgQMHsGjRIsTHx7t82xFXJggCatWq5fSWHeVhsVgwa9asCrX6uJvLly/jtddec4ubakREREREVLm59m9uRBK7cuUKPvnkE6xbt06yOZYtW4b169c7fDWvo0VHR+PZZ5+Fv7+/3KW4JaVSiU6dOmH+/Plo0qSJS6xefvDBB6HVasv9+VqtFl26dHFgReWvY9CgQViwYAEaNGjAmwvl5O/vj6FDhyI6OlruUu7Jbrdj3bp1+PHHHyWbY+3atZg8eTJSUlIkm4OIiIiIiKiiGNxSpWS323Hw4EGMHDkS33zzjSSruoplZWXh448/xsGDByWbwxF0Oh3at2+POnXquETo6G7CwsIwYcIE1K5dW+5SSnTr1g0BAQHl/vzAwEB07drVgRWVn0KhQNu2bfHRRx+xH3M5KJVK1K1bF+3atatQmO8MBw4cwKRJkyRdEVtYWIg5c+Zg5MiROHz4sMvfWCMiIiIiosqJwS1VGhkZGUhJScGGDRvQs2dP9OrVC+vXr0deXp6k84qiiKNHj2Lx4sXIzMyUdK6K0uv1CAgIcPlt1K6offv2aNKkidxl3Mbf3x/jxo0rVxCvVCoxbtw4l1qBrVAo0LVrVzRo0MBpcwqC4BErfBUKBQICAqDX6+Uu5Z4yMjKwaNEiHD9+XPJD8XJzc7Fu3Tr07NkTjzzyCDZu3IiUlBT2vyUiIiIiIpehkrsAImeJioqC3W6HzWaTPBD4J6vVil9++QVPPPEEOnTo4JJBUFFREfbv34/Tp0/DarXKXU6FaLVaREdHIygoCEajEWlpaTAajZKdJC8IAvr16+eSgfcTTzyB3377DevWrSv191WtVqNnz554/PHHJa6u7DQaDR5//HFs375dsvexUqmEv78/wsPD4efnh6ysLFy+fBkFBQWSzOcMVqsVp06dwoEDBxAbG+uSh5OJoohjx45h5cqVTrsG2e12pKamYv369diwYQOUSiUUCgVMJpNT5iciIiIiIroXBrdUaZjNZlnnNxqNuH79OkRRdLng1mazYcOGDZgxYwYuXbrk9GDbkdRqNdq0aYMRI0agdu3aMBqNOH78OM6cOYO9e/fi+PHjKCwsdOhzFAQBKpVrXk4DAgIwZcoUCIKAjRs3oqio6J6P1+l0ePjhh/HJJ5+41Grbv/Pz83P4mAqFAr6+vmjatCkaNWqE2rVro379+vD398f58+cxd+5cbNy40W0DPVEUcenSJUybNg16vR6PPvqoy7VEEUUR169fh9FolG1+d79pRUREREREnsU1kwYiD6RUKuHt7S15aCuKIiwWC4BbIeZ/zWez2bBs2TJMnDgRFy5ccOvQFri1svr111+/7WCuZs2awWQyITk5GRcuXEBCQgJWr16Nw4cP/2eQWRp2ux07d+5Er169XC6UB4CaNWviyy+/LOkRm52dfcfHBQQE4IMPPkDv3r0RExPj5CpLRxRF7NmzxyGvU0EQEBISgocffhgdOnRAZGQkqlevjqioKGg0mpLvZUxMDLy9vXHmzBkkJiZWeF652Gw2HDt2DGPHjkVBQQEGDhz4n+FtWa8nFSEIAry9vaFUKkvmJCIiIiIiqswE0d1TGqJSkjtQa9y4Mb777jvUq1dP0nnMZjPS09NhsVgQERFxzy3RJpMJ3333HSZMmIBr165JWldZKBQKeHt7IygoCEFBQSgoKChZiXevS5ZKpcKLL76Izz///J7P22KxID8/HxcuXMDkyZOxcePGCm+Dr1WrFv744w9ERERUaBwpWSwWXL9+HRs3bsTy5cuRkpICAIiOjsagQYPQvXt3REREQK1Wy1zp3V2/fh0dO3ascIAaGBiIl19+Gc8++yxCQ0Oh0+nu2erCbDZj4sSJmDp16n+Gil5eXggMDIRWq0V+fj6MRiOKiopc6qZIVFQUxo8fj6effhoajeaujysqKsL169ehVqsRGhp6z8c6wsmTJ/HUU0/h6NGjks7zX1zpe0VElY/RaISfnx9yTgK+BrmrkVDVVnJXIK2kPXJXIL1q98ldgcRS5S7ACWLlLkBaO4/LXYFkjPmA30NATk4OfH195S6HJMTglioNOYPb8PBwTJkyBYMHD5Z0S70oikhLS8OOHTtw48YNtG3bFrVr175j2FJYWIiFCxdi4sSJuHHjhmQ1lVVQUBA6dOiAxx57DJ07d4bBYEBeXh42bdqEhQsXYt++fXfdztywYUNs2LChTOHpjRs3MH78eCxevLhCq291Oh1GjRqF9957D15eXuUex1lEUSwJp9zlAK6CggJ89NFHmD59eoW+V76+vhg7dixee+21Mn2vMjMz8dBDD+HAgQN3/HuFQoH77rsPAwYMQO/evREeHo709HRs2bIFW7Zswe7du2VrA3AnoaGh+PDDD/Hss8/e8UaHyWRCQkIC/vzzT4SGhqJ9+/YIDQ2V9LVitVrxww8/4N1330Vqqny/LPFHIyKSE4NbD8Hg1gMwuHV7DG7JA7BVApHEisORvn37St4HtaioCHv37sWyZctw7do1nD59GoMGDULjxo3h5eUFQRAgiiJyc3Px9ddf4/PPP0dmZqakNZWWUqlEhw4dMHjwYPTr1w8Gw//9pqLX6/HUU0+hSZMmmDVrFpYuXYr8/PySvxcEAXFxcZgwYQLCw8PLNG9ISAieffZZbNmyBefPny93/UVFRVi9ejW6dOmCdu3aueRBZX/nLmFtMbvdjr1792L16tUVbm9RvXp1DBgwoMwBe2BgID766CO89tprSExMvC3cU6vVeOihhzBy5Ei0a9eupE1HaGgo6tatiyFDhuCnn37C8uXLsXfvXskOyiuL9PR0jBs3Dnl5eXjxxRdhMBhKrhGFhYU4cuQIli1bhoMHDyIyMhIajQbdunWT9MaESqVC//79UVRUhPHjx7vUTSUiIiIiIiJnY3BLJBGlUokmTZrgo48+Qvv27UuCHKnYbDbs27cPX375JY4fPw6TyYQLFy7g2LFj6NmzJ7p3746AgAAkJCTg+++/x/r1611m9Z9Go8ETTzyB9957DzVq1Lhj6KlUKlG/fn188sknaN26NebPn4/jx49DoVDggQcewGuvvYYOHTqUK4ysXbs2wsPDKxTcAsD58+exdu1aNGzY0GUP9nJXOTk5+N///oeLFy9WaBxBEBAREVGulhaCIKBDhw6YMWMGpk2bht27d8Nms6FatWp4/vnn0adPH1SpUuVfr0FBEBAUFIQXX3wR7dq1w8cff4xff/3VJfq4ZmZm4uOPP8axY8fw1FNPoWbNmsjKysKmTZuwfv16nDlzBgUFBTh79ixu3ryJgIAAtG3bVtIbE3q9HkOHDkW1atUwbtw4/PXXXy4RdBMRERERETkbWyVQpeGs1YVeXl6Ii4vDiy++iAEDBiAoKEjSuUVRRF5eHn7//Xe89dZbSEpKui3kUCgU0Gq10Ov1UCqVKCgoQH5+vssEIQqFAj179sTChQsRHBxcqs+x2WwoKChAbm4ugFtb3729vcsdJplMJjz22GP47bffKrRFWhAEtG3bFgsWLECNGjXKPQ79W2JiIoYOHYq9e/dW+HvUt29fLF++vNwr4O12O/Lz85GdnQ273Q4/Pz8YDIZSj5eeno5nnnkGmzZtcpkt+UqlEj4+PvD29obVakV+fj5MJhPsdnvJY1QqFWJjY/HFF1+gY8eO0Ov1kl/bMjIy8OOPP2LevHm4cOECCgsLJZvvn3MTEcmFrRI8BFsleAC2SnB7bJVAHoArbokcRKVSoVatWujbty+GDx8ueS9I4Nb2/FOnTmHp0qVYsmTJHbcV2+12FBYWOi3wKCs/Pz+MGzeu1KEtcCtkMhgMt7VTqAiz2QyTyVThsEapVCIgIEDyA5wqI7VaDV9fXygUigrfdMjPz4fFYil3cKtQKCr0+gsNDcX48eOxZ88e5OTklGsMR7PZbDAajfdchW+1WnH+/HkMGzYMQ4YMwcCBA1G3bl3JdhMIgoCQkBC8/PLL6N+/P+bMmYNff/0ViYmJd+1zTURERERE5ElcuwkjkZtQKpVo1aoVvvjiC4wdOxZhYWGShrZ2ux1XrlzBl19+iZdeegmzZ892216QcXFxqFevnqw1ZGdnl6zeLS9BEBATE4N+/fohNDTUQZVRsfDwcDz66KNl7mH8T8U9nuVuE9KgQQO3XZWdnp6OmTNnYvjw4fjyyy+RkpJy28pcRxMEAeHh4Xj33XfxxRdfoFWrVlAqlZLNR0RERERE5Cq44pbIAaKiovDKK6+gQ4cOkq+2FEURFy5cwEcffYQ1a9YgNzfXbbf1CoKAOnXqQK1Wy1aDKIpIS0ur0IFXgiCgWrVqmDx5Mrp37y7p4U2Vlbe3N5544gnY7XZMnDgRaWlp5RpHEAQUFBQgPT3dKavi70aj0aB+/fo4fPiwW75/TSYTDh48iMTERCQkJOD9999HfHy8pF9PrVaLjh07IicnB0lJSbhy5YpkcxEREREREbkCrrglqiBBEBAbG4tWrVo5ZYu8yWTC2rVrsW7dOhiNRrcMfYoJggA/Pz9Za7DZbLBYLPDz8yvX1nlvb288+OCD2Lx5M/r27euw9g30bwEBAXjhhRdKDoArT+Bf3GbDbDZLukq0NIKDg2ULjh1BFEXk5ORg3bp1WLduHcxms+RzajQatGrVCjExMW79tSMiIiIiIioNBrdEDmC3250WItjtdmRkZLhsz9qyEAQBFotF1gBNEARER0ejd+/eaNy4Mfz8/Eq9DTswMBDDhw/Ht99+i7i4uHIfjkalp1Kp0Lx5c/z444/o3bs3vL29S/V5CoUCvr6+aNiwIR599FHJ25n8F1EUYbFYPOI1U1BQgMzMTKcdeKhQKCCKolvftCIiIiIiIioNtkogqiBRFHH9+nUkJCQgIiJC8vnUajVCQ0Oh0WgqtL3fFahUKtjtdlitVtnaJSgUCkRERGDIkCFo0aIFTp8+jSNHjmDr1q1ITk6+axjl7e2N559/HqNGjWJPWxnUrFkTH3/8MZRKJX755RdYLJY7Pk6pVCImJgYdO3ZEkyZNUK9ePdSqVQv+/v6yBrdWq7XkgDR3P2hLq9UiNDTUKe9hURSRkJCA69evSz4XERERERGR3BjcEjlASkoKtmzZglatWkl2wnoxlUqFli1bIjIyUvYDlkpLEAQolcrbVrIqlUoEBQWhSpUqsq6cEwQBarUaISEhCA4ORosWLfD4448jNTUVW7duxaxZs3Dx4sXbgkGNRoN+/frhrbfeQnBwsGy1V3bx8fGYMmUKbty4ge3bt98WgKrVasTFxWHkyJHo3LkzwsPDodfroVKpXGKLvd1uR1hYGIKDg5GZmVmy6lwURdjtdthsNrdZURoREYHmzZs7Jbg1mUzYsmULrl69KvlcREREREREcmNwS+QAJpMJGzZsQJ8+fdC0aVNJ5xIEAfXr10etWrWQmJjo8uGOn58fWrZsiY4dOyI2NhZmsxnXrl1DTk4OgoKC0LlzZ6f0Bi6N4hDX398f/v7+uO+++/DII49gwYIFWLNmDdLS0uDl5YXOnTvjo48+YmjrAqpWrYqvv/4aY8aMwYEDB2CxWBAWFobevXtj2LBhiIqKcsl2BGq1Gl26dAEAZGdnw9/fH5GRkdBqtbh06RJ27tyJAwcOICcnR+ZK702hUKB27dqoV6+eU+Y7fvw4NmzYAJPJ5JT5iIjKavLkyVi5ciUSEhLg5eWFVq1a4dNPP0XNmjXlLo2IiIjcEINbIgc5deoU/vjjDzRo0EDyINLb2xuNGjXC+vXr77pF3BUEBATgtddew6uvvgo/P7+SlY7FB4LZbDZoNJpyHQrmDAqFAlWrVsX777+P3r174+jRo9Dr9WjZsiXCw8PlLo/+v7i4OEydOhW7d++GyWRCs2bNUK9ePZe5IXAnKpUK999/P2rVqgW1Wg2tVlvyPhBFESNHjsRXX32FGTNmIDs7W+Zq706lUqFx48al7jVcESaTCb///jtOnz4t+VxEROW1Y8cOjBw5Es2aNYPVasW7776Lrl274vTp0/Dx8ZG7PCIiInIzrpmWELkhq9WK5cuX45lnnpG852nxgVpKpdJlg1uFQoFHHnkEw4cPR0BAwG1/p1KpXDasvRONRoOGDRuiXr16EEURarXaJbbb0y0KhQJxcXGoWrVqyappV//+CIIAb2/vOwaegiAgICAAw4cPR1JSEn744QdZD/C7F6VSiaioKKd8vbOzs/Hzzz+7fU9gIvJsmzZtuu2/v/32W4SGhuLw4cNo166dTFURERGRu3K9/aNEbiwhIcEpq+OsVisuXbok+SnugiBApVLd1pu2tAIDA9GlSxeEhIRIUJnzFQeCGo3G5UPBykihUECr1XrU9yckJARdu3ZFUFBQmT9XoVA4pZ+vzWbD5cuXnRKmZmdnIyEhQfJ5iIgcqbjlTWBgoMyVEBERkTticEvkQBaLBUVFRZLPcfToUWzatEnysMRgMKBevXpo1qwZoqKiynT4UJ06ddC6dWuPCdGInE0QBLRp0wZ16tQp9ecolUqEhoaicePGqFOnDvR6vYQV3roebdy4EceOHZN89X9RUZHL7jAgIroTu92O119/Ha1bt75nL3CTyQSj0XjbBxERERHAVglEDqXT6Rzev8xut8NkMiE3NxeXL1/GgQMH8Msvv+Do0aOSHkymVCpx33334aWXXkLNmjWRlJSEnTt3YuvWrbh8+fI9t26rVCrUrl0bkZGRktVHVBmEh4ejdu3a2L179z1v1AiCgLCwMLRv3x4dO3ZEjRo1cOHCBcybNw9//fWXZKvzRVHEX3/9hXfeeQd9+/ZF8+bNUaVKFRgMBmi1WoceDKfX66HT6ZCfn++wMYmIpDRy5EicPHkSu3btuufjJk+ejAkTJjipKiIiInInDG6JHKhdu3bl2tZ8N9nZ2fj111+xY8cOpKamIjU1FSkpKTAajZL3vNRqtejQoQN69uyJoKAgtGjRAj169MCQIUOwdetWzJkzBxkZGXcMj8PCwtCnTx+XPhyKyB2o1Wr0798f//vf/3D16tU7Psbb2xtPPPEEHn/8cTRo0ADBwcEQBAF169bF+fPncebMGUnDTrPZjG3btuHw4cOoWrUqwsLCEB4ejvbt26Nv377w9/d3yDxBQUFo164dNm7c6JDxiIik9PLLL2PdunXYuXMnoqOj7/nYsWPH4s033yz5b6PRiCpVqkhdIhEREbkBQZRyyR6RC5Fyy74gCIiMjMQ333yDhx56yCGrzDIyMvDqq69i/fr1yM/Pl7yf7T/FxcXhhx9+QIsWLf71fEwmE9LS0rBlyxYsWLAAly5dgtlshiAICA0NxejRozFo0CBotVqn1kzkiUwmE5YsWYKpU6fixo0bsNvtUKvVCAoKQp8+ffDkk0+iatWq8PHxue06Z7fbcejQIQwePBjnz593as1KpRI+Pj7o1asXpk+fjuDg4AqPabfbsW7dOowYMQLXrl2TdMcBfzQiovISRRGvvPIKVq1ahe3bt6NGjRplHsNoNMLPzw85JwFfgwRFuoqqreSuQFpJe+SuQHrV7pO7Aomlyl2AE8TKXYC0dh6XuwLJGPMBv4du9VL39fWVuxySEINbqjSkCm41Gg0aN26MV199Ff3794dKVfGF7DabDV999RXGjx+P3NxcB1RZNmq1GiNHjsTkyZOh0+nu+Vi73Y78/HzcuHEDFosFQUFBCAgIKNeBZkR0ZzabDenp6bh69SoEQUBUVBSCgoL+s++0yWTC+PHj8eWXX8rSH9ZgMOCjjz7CK6+84pAbWlarFT///DO++uor/PXXXzCbzQ6o8t/4oxERldeIESOwbNkyrFmzBjVr1iz5cz8/P3h5eZVqDAa3HoLBrQdgcOv2GNySB2CrBKJyEAQBvr6+aN68Odq2bYu+ffuiVq1aDuvnWFBQgL1798rSy1GlUqF9+/Z45ZVX/jO0BW6dXm8wGGAwePJvFkTyUiqViIiIQERERJk+T6vVYsSIETh+/Di2bt3q9PA2Pz8fe/fuxXPPPeeQg9JUKhUGDBiABg0aYNWqVdi5cycOHjwIo9HIsJWIXMKcOXMAAB06dLjtzxcvXoxnnnnG+QURERGRW2NwS1RG3t7eeOSRRzBo0CDUq1cP0dHR/7nqrawyMjJw/fp1SfvYKhQKCIJQEnYoFAr4+vqiZ8+eeP311xEbGyvZ3ETkPNHR0ZgyZQqmT5+O//3vf7h58+a/ri1SXWvsdjtSU1ORkZHhkOAWuHWtqlevHmrWrIknn3wSJ0+exNKlS7F27VoUFhY6ZA4iovLiTSQiIiJyJAa3RGWg1+sxZswYvPzyy/D395es/UJycjJSU6XbmqNWqxEaGooaNWogOjoakZGRqFWrFpo0aYJq1apBr9dL2hO4NCwWC/Ly8lBUVASbzQZRFCEIAhQKBdRqNXQ6Hby9vdmSgeg/KBQK1K9fHzNmzMAbb7yBgwcP4vTp07h69SpSUlJw/vx5ZGRkwGq1SjL/1atXcfnyZYffDFKr1ahWrRpiY2PRpk0b1K5dG5999pksOxWIiIiIiIikwOCWqAzi4+PRt29fBAQESDrPlStXcOPGDcnGVyqVaN68OV599VXUq1cPBoMBarXaYa0eKsJiseDQoUPYt28fNm3ahL/++gu5ubkQRREKhQJeXl6IiIhAkyZN0LJlS9StWxeNGjViqwaiexAEAQaDAfXr10fdunVhsVhw8+ZNHDt2DNOmTcO2bdskC25v3LiBlJQUScYGbj23gIAA9O3bF6tXr8bRo0clm4uIiIiIiMiZGNwSlYFOpytV39eKsNlsyMzMREFBgWRz2O12hISEoG7duggMDHSJwBa49dznzp2LWbNm4dy5c3fcvl1YWIisrCycOnUKS5YsQZUqVdC/f38899xzqFmzpuwrhYlcnUKhgFarRUhICOrXr4+AgABJ27IUFBQgMzMTdrtd0muNl5eX5NdnIiIiIiIiZ3KNtIbITSQnJ+PmzZuSzmE2m5Geni7Z6jfg1qrW9PR0aLValwltAWDjxo2YMmUKEhMTSxUk2e12XLp0CbNmzcKwYcOQmJjohCqJPENxgHvjxg1Jrzc2mw3p6ekwmUySzQEAWVlZSE5OlnQOIiIiIiIiZ3KdxIbIDaSnp+OPP/6QdHVafn4+rl69Ktn4wK2DM86ePQuz2SzpPGVRWFiIb7/9FteuXSvz5xYVFWH37t3o3bs3zp8/L0F1RJ6poKAA58+fl/QwHVEUceXKFUl3EdhsNvzxxx9IT0+XbA4iIiIiIiJnY3BLVAZ2ux1z585FXl6eZHNYrVYUFRVJNn6xjIwMSQ9AK6uUlBSkpKSUO0ASRRGJiYkYPnw4Lly44ODqiDzTlStXJN9FIAgCTCaTpKt6c3NzsWDBAklvqhERERERETkbg1uiMrpy5QqOHDki2fheXl6IjY2FVquVbA7g1gpXVwo4MzIykJOTU6ExRFHE7t27MXPmTGRlZTmoMiLPderUKclbGGi1WsTGxsLLy0uyOY4cOYLLly9LNj4REREREZEcGNwSlZHFYsHq1asl21qs1+vRp08fPPDAA9BoNJLMAdxa2XvlyhXJxi8rhULhkH67hYWF+O677/DTTz+5VCsIIld05coVSVfCajQatGrVCo899hh8fHwkmUMURaxatQoWi0WS8YmIiIiIiOSikrsAIndjt9tx5swZWK1WqNVqh4+vVCrRvHlzLF26FAsWLMDPP/+MpKQk5OfnO3QeURRdKugICQmBr6+vQ8a6efMm3nzzTRgMBgwYMAAqFS91RHci1WpbHx8fVKtWDU888QSee+45hIWFSXYQotVqRUJCgqR9eomIiIiIiOTANIOoHCwWC2w2myTBLXBr9WlERATee+89DBo0CEuXLsX333+PixcvOiycEAQB3t7eDhnLEQIDA2EwGBw2XlFREV5++WXodDr06dNHstCIyJ15eXlBEASHjScIAuLi4jBkyBAMHjwYsbGxkr/3rFYrV9cTEREREZFHYnBLVEbFgaczDsFRKBSIi4vDmDFj0LRpUwwbNgzXrl1z2NhSbV0uDy8vL4f39c3JycHYsWPh6+uLrl27OnRsIk+g1+sdGtxGRkZixowZ6NSpE3Q6ncPGvRdRFOHt7Q1BELjqloiIiIiIPAqXoBGVkSAICA8Pd+qcOp0O3bp1w/jx4z125ahKpZJkBfPFixcxbdo0JCUlOXxsIvo/CoUC48ePR7du3ZwW2haLiIhwaABNRERERETkCjwzASKSkFKphL+/PywWi1NXdymVSjz00EPw9/d3yHg2mw1Xr151ysrh0lAoFFCpVA4PX+x2OzZv3oylS5e6VE9fIrnZbDakpqY67Brg7++PHj16QKlUOmS80iju1e3v7+/UeYmIiIiIiJyBwS1ROaSkpODixYswGo0wmUywWq1OCXF1Op3DDvCyWCw4evQocnJyHDKeI0h1iJjdbsfnn3/OVbdEf3Pjxg2cOnUKVqvVIeP5+vrCy8vLIWPdiyiKsFqtMJlMMBqNuHjxIlJSUtgmgYiIiIiIPA573BKVkc1mw969e/Hll18iPj4eGo0GOp0O1atXR5MmTRAZGSlZOwOLxYLc3FyHjGWz2bB7926sWrUKjz/+OPR6vUPGLS9BEKDRaCTrU5mTk4PPP/8c8+bNc/jYziaKIux2e8n/FhMEAQqFAgqFgtvG6Z5ycnKwfPlyHDlyxGHvt9zcXIeFwHdis9lw7do1HD58GElJSSgqKoLZbMb58+exb98+2Gw2yeYmIiIiIiKSA4NbojKy2+1ISUnBL7/8ctvWXJ1Oh+joaIwdOxa9e/eGRqNx+NwnTpzAzZs3HTZeSkoKxo4di+3bt+P5559HfHw8dDodlEollEoltFqtJO0L7sbf3x8KhUKy9g2bNm1Cbm4uDAaDJONLxWKxICMjA7t27cKSJUuQmJiIoqIi2Gy220I3QRBKvm/h4eFo3749+vTpg+joaPj4+ECn0zHQrUSK2wgU7wqwWq3Iz8/H8ePHMX/+fOzZswfZ2dkOm+/mzZs4fvw4HnzwQYeNWcxsNmPlypWYPHkyrl69iqKiopK/s9lsMJvNXHFLREREREQeRxD5mw5VEs4KrAICAjBjxgwMHDjQoVv/MzIy0KVLFxw7dsxhY/6dSqWCl5cXDAYDfH19ERcXhzZt2qBp06Zo2LAhgoODJZn37+bPn4833ngD+fn5kozv6+uL77//Ho8++qgk40vhwoULWLFiBT799NNyhfaCIMDPzw+PPPIIHnvsMdSsWRM1atSQ5CA4R7JarcjKykJWVhaAW6G+n58ftFotBEEoWZlts9lQUFCAjIwM3Lx5E2azGV5eXoiOjkZAQIDHHuZ3L6IoIi0tDYcOHcLu3buxc+dOXLlyBfn5+SgsLITZbJZsdWrDhg2xZcsWh14vrFYrli1bhtdee82hN67uhT8aEZGcjEYj/Pz8kHMS8HWve81lU7WV3BVIK2mP3BVIr9p9clcgsVS5C3CCWLkLkNbO43JXIBljPuD30K2ddI5qp0iuiStuiRwsOzsbU6dORXx8PB544AGHjGk2mzFnzhwkJCQ4ZLw7sVqtyM3NRW5uLq5du4aEhARs3LgRQUFB6NOnD0aPHo24uDhJA/B27drBy8tLsuC2oKAAv//+u9sEt/v27cP48eOxdevWcq9CFkURN2/exPfff4+lS5eifv36ePjhh9G2bVu0bdsW3t7eDq664jIzM7FgwQIcOXIEFy9eBADExMQgOjoaBoOhpKWGzWaDyWRCRkYGzp07h8uXL6OgoAD+/v5o2rQpOnfujN69e8PPz0/mZ+Q8oiji5MmTmDp1KtatW4ecnBynhpAJCQn45ptvMGbMGIftOjhw4ACmTp3qtNCWiIiIiIjIVTC4JZJAYmIi1q5di0aNGkGn01VoLFEUsWHDBsyfPx8mk8lBFZaO3W7HjRs38O2335Yc8CXl3bxq1apBr9cjIyNDkvFtNhvS09MhiqLLtww4f/48Jk6ciN9//91hrSNsNhuOHj2KEydOYMmSJahZsyaeeuop9O/fH1qt1iFzVFReXh7eeecdLF26FIWFhSV/fujQIQD/18cXwL96/BZLTU1FQkICNm3ahLNnz2LChAkuv8LYUbKzszF58mT88ssvsFgsTp+/qKgI8+bNQ4MGDdCrV68Kv88KCwuxZs0anD171kEVEhERERERuY/Kt4eUyAksFgtWrlyJ06dPV3islJQULFq0CCkpKQ6orHxMJhN27tyJ8+fPSzqPRqNBv379JBtfFEW36IVpNpuxevVqbNmyRZIt7TabDZcuXcLmzZvxwgsvoEGDBvjmm2+QkpIiS9j3dz/++CN+/fXX20Lbvytuj2Cz2f4z0M7IyMCsWbNw4sQJKUp1SSdOnMDevXtl/T4WX7OuXr1a4bFOnjyJ1atXy/66JCIiIiIikgODWyKJXLx4ERcuXKhQSGi327F3715s2bJF9rDRZDLddiCQVN544w2EhYVJNr5CoXD51baXL1/GJ598AqvVKvlchYWFOHv2LIYPH44mTZpg+vTp2LVrF4xGo+Rz/5PNZsPp06cdOnd+fj5Wrlwp+/vHWYqKimA2m2WtQRRF/Pbbb9i3b1+FVovb7XZcvHixpF0GERERERFRZcPglkgiNpsNZ86cqdBKMYvFgt27dzslMP0ver0eUVFRks8TEhKCV199VZKt7YIgQKfTuXxwu2zZMmRnZzt93vT0dLz99tt48skn8frrr2Pu3LnIyspyWugpCAJUKpVDvz+iKKKgoMBh47m6mJgYl+hbbDKZsGvXrgrdfLBarTh9+rRkB6kRERERERG5Ova4JZKIKIpITk6uUOhgt9uRnp7uwKrKLyQkRNKVsMXUajWGDRuGxMRELFmyxGH9XYFbrRji4+MdNp4ULBYLFi1aJNv8oiji0qVLWLx4MVauXIlFixahSZMmeOmll1CnTh2oVNL9s6FQKNC8eXMEBgY67HWvUqnQuHFjlw/rHSU6OhrBwcGStzX5L6IoIj09vULvX6vViitXrlSa1dJERP8SDMCTDwo/s0fuCqTlmDM6XZz8i0ukFS13AU5QsfNYXF675nJXIB2jDcBhuasgJ+CKWyKJCIKA0NDQkoOUykOtVqNhw4ayh04KhQK1atVy2gFWISEh+PLLL/HEE09U+HC3v/P19cWgQYMcNp4U9uzZgxs3bshdBgAgJycHBw4cwNy5c9GyZUvUrFkTn376KU6ePIm0tDRJWjn07NkTXbt2dUhArFAoULt2bXTo0KHihbkJb29vxMXFyX7NEAQBDRs2rND3UaFQIDg4WPbnQkREREREJBcGt0QS8ff3R8uWLSu05V+lUqF169aIiIhwYGVlp1AoULNmTacGKEFBQfj222/x1ltvoWnTpg5pndCmTRuXXnFrt9sxZ86cux7MJRe73Y7CwkJcvHgR77zzDpo0aYJHH30Us2bNwurVq5GYmAiTyeSQuXQ6Hb766isMHjwYoaGh5XrNCYIAb29vNG7cGOPGjXPKSnFXIQgC4uPjZQ87IyIi0KpVqwoFtxqNBi1btoSfn58DKyMiIiIiInIfbJVAJAGlUonu3bujRYsWFVpxCwD16tVDv3798M0337jEoUPODIQ0Gg3Gjx+P/v37Y8eOHfjzzz+xZcsW5OTklHkLdvXq1fHhhx9W+PshpYsXLyIxMdHlt4abzWbs378fBw4cgMFgQIMGDVCjRg2EhIQgLi4O9erVQ5UqVeDn5weNRgO1Wl2mQ+ECAgIwbdo0PPTQQ9i2bRu2bt2KlJQUmM3m2742giBAEAQolUpoNBoYDAaEhoaiRo0aaNCgAdq2bYvGjRtL2t7BFcl9AJ9Go8Hjjz+O+vXrV2gchUKBli1bokePHvj555/Z65aIiIiIiCqdyvXbLJGTNGrUCGPHjkV4eHiFx/L398dbb72FixcvYuPGjbKEF3a7HefOnYPVapXk0LB7USqVqF+/PurWrYsBAwYgPT0dOTk5SExMxNq1a7F3717cvHkTVqsVdrv9X4GuUqlEvXr1MGXKFNStW9eptZeFKIpYu3Ytzp49K3cppSaKIoxGI3bt2oVdu3ZBpVLBx8cHBoMB3t7eUKvVUCqVUKlUJStgBw0ahPr160On090zRA8ICEC/fv3QrVs3pKam4saNG8jKykJWVhYKCwuhUCjg7e0NX1/fkvl0Oh28vb1hMBig1+uh0+mgVCpLai0OfYtvQBR/eBKLxYKkpCTZwv/im1ajRo1yyErZiIgIvPPOOzh79iwOH2YPLyIiIiIiqlwE0dWXdhE5iLMCmuDgYCxbtgxdunRx6Jy5ubkYNWoU/ve//1X40J+yEgQBDzzwAJYsWYLY2FiXCLtEUYTdbofNZkNhYSHOnTuHlStXYt++fcjNzQUAGAwG9OnTB4MHD4a/v79L1H03ly9fxksvvYSNGzfKXYpkBEGASqVCYGAg3n77bTz00EOoWrUqvLy8SvX5fw9fi8e70///+2MtFguysrJw5coVXLp0CcnJycjIyIBWq0VcXBxq1qyJ6OhoREZGuvRq7NIQRRHnzp3D4MGDcejQIafOrVAoEBYWhl69euGLL76AXq932NiiKGLLli0YNGgQMjMzHTbuf81JRCQXo9EIPz8/5KQCvp58OFmy3AVIrDIcThZXVe4KJOa4n2dcV2V4jp7JaLTBz+8wcnJy4OvR/1gQg1uqNJwR2gmCgJEjR2L69OklK/0cyWw247fffsOyZcuwa9cuXL9+3WkrcMPCwvDuu+9iyJAh8PPzc+kQtDjUdpcVlVarFV9//TVGjRolyYFfrkgQBFSvXh1PPvkkHn30UdSvX9+hLQ2sVisyMjKwd+9erF+/Htu3b8fVq1dhMpluC+U0Gg1atWqFl19+GV27doXBYHBYDc4kiiKys7OxcOFCTJ06FRkZGU6ZV6lUIiIiAm3atMHgwYPRtWtXaDSO/03VarXi1VdfxTfffOOUUJU/GhGRnBjceggGtx6gMoSaleE5eiYGt5UHg1uqNJwR4Hl7e2Pbtm1o3ry5ZHOIoogbN25g3759WLlyJTZv3owbN25IHvhptVq0bdsWb7zxBlq3bg1fX1+3CEXdweXLl9GpUydcuHBB7lKcTqVS4f7770fXrl3x/PPPIyYmpkI3PURRRH5+Pvbt24effvoJf/zxBy5fvvyf74/IyEi8+OKLeOutt0q9AthV2O12GI1G7NixA9OmTcPevXsl74etUqkQEhKCbt26oXfv3njggQcQHBws6TVh37596Ny5MwoKCiSboxh/NCIiOTG49RAMbj1AZQg1K8Nz9EwMbisP9rglciBvb28EBgZKOocgCAgNDcXDDz+Mxo0bo3Hjxpg/fz4SExNhsVgkm9dutyM5ORlbt26Fv78/6tevD71ez/C2gsxmM55//vlKGdoCt1ZSHj58GCdPnsSvv/6KHj164Nlnn0X16tWh1WqhUqnuuXK6uGWGxWKB0WjEiRMnMG/ePOzZswfp6emlDjCvXbuGqVOnIjAwECNHjnSb17XdbkdeXh5OnjyJ33//HZcuXZK8jYpGo8F9992HF154Ab1790ZERIQkOwz+KSgoCN7e3k4JbomIiIiIiFwBg1siByooKEBKSgri4+Mln6t4i3KnTp2wb98+JCcnSxbcKpVKBAQEoFq1aggICIDJZILJZIK3t7dTAhtPZbVaMXPmTPz5559ylyI7k8mEs2fP4ty5c/jmm29QrVo1dOnSBc2aNUNYWBi8vb1LQlxRFGGz2WA2m5GXl4fLly9j37592Lt3L65evQqz2VyuFZP5+fn44IMPUK9ePbRv394twltRFGEymWA2mxEcHIy4uDjk5+cjMzNTsgBXq9WiYcOG6Nixo9NCW1EUceXKFYa2RERERERUqTC4JXKgwsJCzJo1C/fddx8iIyOdMufNmzeRmpoq2dZonU6Hhg0b4qGHHkKLFi0QExODwMBAGAwGtz/MSW579+7F/PnzUVRUJHcpLqM4iExISEBCQgIUCgWUSiXUajVUKhUUCkVJcGu1WmG1WmGz2Ry2tT07OxtvvfUWFi9ejHr16jlkTCkpFAr4+vqifv36iIqKQosWLbBv3z5s2LABx44dg8lkcvicJpMJ169fLzkE0BmuXr2KWbNmobCw0GlzEhERERERyY3BLZEDiaKI9evXQ6PR4M0330SjRo0kXY1WUFCAP/74A8eOHZNktW1AQACeeuopPPnkk6hVqxa8vLygUCjc5tAvV5aamoqZM2fi3Llzcpfi0ux2e0krBGc5fvw4Fi1ahA8//NDl+0UJggCtVovg4GAEBQUhLi4OrVq1Qo8ePbBkyRL88MMPuHnzpkPntFgsOHr0KH7//XfUq1dP0gPdbDYbjhw5gmnTpmHDhg3sPUtERERERJUKDyejSsOZQaNKpUJ0dDSee+45PPfccwgLC5NkdeqBAwcwcOBAJCUlOTzQMBgMeOutt/Dqq6/yIDIHE0URv/76K5566imutnVRBoMBS5YsQa9evdzytS+KInJycjBjxgx88cUXDl8dKwgCqlevjuXLl6NZs2YOHRu4FdinpqZi0aJFWLBgAa5evSr5AYx/xx+NiEhOPJzMQ/BwMg9QGQ7uqgzP0TPxcLLKg/uciSRgtVqRnJyMDz/8EP369cPOnTsdvmLQarVi6dKluHTpksNDBkEQ0KdPH4wZMwZ+fn5uGVy5soyMDLzxxhsMbV1Ybm4uXn75ZSQlJcldSrkIggB/f3+88847eOyxxxz+HhZFEcnJyVi2bJnDA1Wz2YwdO3agb9+++PDDD3Hp0iWnhrZERERERESugsEtkYRsNhv279+PTz75BOfPn3fo2EVFRdizZw9sNptDxwUAvV6Pd999F1qt1uFjE/Dtt9/i6tWrcpdB/+HKlSuYPHmyJH1inUWr1eK9996Dj4+Pw8e22WzYs2ePw29AnD9/Hh9//DEOHjwoyfWNiIiIiIjIXTC4JZKYzWbDsWPH8Ndffzl8ZaxUp8YXH0JGjmc0GrFw4UJuxXYTP//8MxYvXuzW36+YmBhJ2hkAt65vjmwDI4oiDh8+jOPHjzO0JSIiIiKiSo/BLZET5ObmIiMjw6Hhj5eXF7p06SLJ4WePPvoo1Gq1w8clYN68ebh8+bLcZVApGY1GzJ07F/v373fb8Faj0eCxxx5z+LhKpRIPPvigQ1fmi6KIzMxMh/fkJSIiIiIickcMbomcQBRFCILg0D6TSqUSQ4cORb169Rw6riAIiImJYV9bCeTm5mLXrl0oLCyUuxQqg+PHj2PWrFlITU2Vu5RykeI9LQgC6tevj6FDhzr05hGvO0RERERERP+HwS2RE2g0Gvj4+Dg8lKhWrRpee+01hIeHO2xMQRCgUqkYoEjg4MGDOHHihNxlUBnZ7XasWrUKs2fPdtt+t0ql0qHv6YiICLz++uuIjY112JjAreuPj48PV/wTERERERGBwS2RU/j6+iI0NNTh42o0GjzyyCPo06cPdDqdQ8YURRH5+fluuy3cVdntdpw8eZJtElyMwWBAq1at0L17d8THx0Oj0dzxcQUFBZgzZw5++OEHyXpLS6mwsNBh72mdTod+/fqhV69ekgSsYWFh8PX1dfi4RERERERE7obBLZEThIeHIz4+XpKxAwMD8eyzz6J69eoOGU8URRw5coQHAznYjRs3sG3bNlitVrlLIQBqtRo9evTA/v37sWXLFqxatQp//fUX/vrrLwwYMADBwcH/WqGalZWFiRMnYuXKlbBYLDJVXnY2m82hhyPGx8fj6aefRkBAgEPG+6caNWogLCxMkrGJiIiIiIjcCYNbIicIDg5GVFSUJGMX968MCQlx2FbotWvX8nAgB0tISMBvv/0mdxn0/zVu3BiTJ09G7dq14e3tDZ1OB71ejzp16mDRokWYMWMG6tatC4Xi9n8mU1JSMGnSJGzfvt1tQnij0Yg1a9Y4ZCxBEBASEoKqVatK1k4lKioKQUFBkoxNRERERETkThjcEklMoVAgIiIC3t7eks1x8+ZN5OTkOGxF3blz5/DTTz+5TTDl6kwmE2bPns1DyVyESqVCq1atUKdOnTv+vZeXF5544glMmzYN9913320BpSiKOHHiBD7++GNcvHjRWSWXm9VqxU8//YTz5887ZDxRFGE0GpGTk+OQ8e7Ex8cHERER/wrNiYiIiIiIKhv+VkQkMT8/P/Tr18+hJ6//nc1mw/r165GUlOSwMc1mMz777DOsXLnSbQ9jciRRFJGeno5vvvkGL7zwAl5//XVs2rQJubm5/9lSwm63Y8mSJVi7dq2TqqX/otFoEB4efs/+rEqlEp06dcKMGTP+1Z/abrdjz549+OKLL1y6ZYLJZMLKlSvx+eefw2w2O2zcCxcuYOPGjZK1U1Eqlejfvz8MBoMk4xMREREREbkLBrdEEtJoNOjevTu6dOkiyfiiKOLQoUP4/vvvHb4CLikpCS+//DLGjRuHkydPOjT4cSc2mw2//fYbWrVqhVdeeQULFy7EzJkz8cgjjyAmJgZDhw7Fzp07kZKSApPJBFEUIYoirFYr0tLSMH/+fLz77rsuFYALggClUgmVSgW1Wg2lUlmpVjfabLZSvZ4VCgU6duyIjz/++F9b9y0WC1atWuWwlayOZDabcfLkSXzwwQd4+eWXHXpTB7i1wv+7777D4cOHJTvEsGvXrujevftdD4sjInJVO3fuRK9evRAZGQlBELB69Wq5SyIiIiI3ppK7ACJ3p1QqS1bTFq9AU6lUiIqKwoMPPogJEyZIFj6kpKTg008/xV9//eXwsUVRxI0bNzBt2jSsX78er732Gnr37o2QkBCHz+XKzp07h0mTJuHixYu3hVR2ux3Z2dn4/vvvsWzZMjRu3BgPP/wwQkNDoVQqYTQasX37dvzxxx8oKCiQ8RncolAoEBkZiWbNmiE4OBheXl7QarVQKBQwm80wm80wmUwwGo24cOECzp49i7y8PMmCOTlZLBakp6fDarVCpbr3P4NqtRqPPfYYTp06hfnz5yMvL6/k7woKCnD8+HHUqlVLsn6vZXXjxg2sWrUKM2bMwNmzZyVrd3L48GF89tlnmDZtGqKjox0+vkajwfTp0+Hn54etW7fi6tWrJc/l79dbHqJIRK4mPz8f999/P4YOHYo+ffrIXQ4RERG5OQa3RBWgVCoRGhqK+++/H2FhYdBoNNDr9YiJiUGdOnXQtGlTyU5ev3btGkaPHo21a9dKGq5ZrVacPn0a48aNQ1ZWFoYPHw4/Pz/J5nM1R48eRWJi4j2/xlarFQcOHMCBAwegUCggCALsdrvLhJ7+/v4YOHAgHn30UTRv3hy+vr7/at0hiiLsdjvy8/ORlJSEc+fO4fr16/jtt9+wY8cO5Ofnu8zzqSi73Y6TJ0/i8uXLqF69+n8+PigoCK+88gpu3ryJH3/8EUVFRRAEAQaDAYGBgU6ouHRycnKwYMECTJ8+Henp6ZLOJYoiVq1aBaVSiWnTpiEiIsLhc4SHh2PKlCk4dOgQTp8+jUuXLiE3NxcWiwWpqak4fvw40tPTGd4SkUvp0aMHevToIXcZRERE5CEY3BJVgFKpRNOmTTFq1CjExcXBy8sLGo0GOp0OKpWqQqvwioM/QRBKxhFFESaTCfv27cPEiRPx559/Oi20uHHjBn788Ue0b98eLVu2dJkVhlIrbn1QWna7XcJqys7X1xcffvghnn32Wfj6+t71ccXtE3x9fXH//ffj/vvvh81mw8CBA5GRkYHTp09j2rRpOH78OIqKimCxWNw6yN2/fz/++uuvUgW3AFCtWjVMmTIF9erVw/Lly2G1WtGrVy80bdrUJd4LxYem/fjjj7hx44ZT5rTZbPj111+Rnp6ODz74AC1atIBWq73telV8DStvK46AgAB06dIFHTp0QFFREcxmMwoLC3HhwgV8/vnn2Lx5M4NbInJ7JpPptpZKRqNRxmqIiIjIlTC4JaoAQRBQr149NGrUCAaDwWEBjsViQVpaGi5fvoyCggIolUrYbDZcu3YN//vf/7BlyxZJT3W/E1EUkZGRgczMTKfOK7emTZuifv362LFjh1sGlYMGDcLLL79crsPxlEolgoODERwcjFq1auGxxx5DQUEBDhw4gB9++AGnT59GWloarl+/7nY9kAsKCrBp0yZ07dq11IdghYaG4rXXXsPQoUNhNpthMBjg5eUlcaWll52djYyMDKe+Tq1WK7Zt24YjR46ga9eu6NWrFyIiIkquWd7e3qhatSrCwsLueRjcvQiCALVaXfL5oijC19cX9erVw5YtWxz5dIiIZDF58mRMmDBB7jKIiIjIBTG4JaoAm80GX19feHl5OXTVncViwfHjx7FkyRKcOXMGeXl5yM3NRU5OTskBWM4mCAKioqJKDtuoLOLi4jBixAgkJycjOTlZ7nLKxM/PD++99165Qts7USgU0Ov16NSpEzp16oSioiIcOnQIv//+O86cOYONGze61SqhH3/8EWPGjCl1cAvcCrP9/f2lK6qcBEFAZGQkIiMjcf36dadfI3JycvDLL7/gf//7H/z8/GAwGKDX61G7dm089dRTCAwMLHdw+0+CIMDLywsGg4GrbYnII4wdOxZvvvlmyX8bjUZUqVJFxoqIiIjIVTC4JaoAu90OhULhsGCsmEKhgNFoxIkTJ3D+/HmYzWbZt+B7eXmhU6dOuO+++2Stw9kUCgX69OmDgIAAfP3111i/fr3brC5t06aNpD1YdTod2rRpg9atWyMrKwt79uzBxo0bsXTpUrcIcPPy8rBjxw7UqFFD7lIcombNmujUqRNOnTqFwsJCp88viiKKiopQVFSEGzduQKPRwGq1wmg0lrtVwt0oFAooFArZr4tERI6g1Wqh1WrlLoOIiIhckGN/kyKqZERRvK2no6NoNBpERETAarW6RGgrCAKaNm2K4cOHQ6/Xy1qLHJRKJTp37oyFCxdizZo16Nixo0ttkb+bzp07O+UXQUEQEBQUhF69emHq1KnYtWsXOnToAJ1OJ/ncFbVw4UK3bIFxJ3q9HiNGjECTJk1kXxVvt9tLrl0RERHQaDQOHV+hUECr1XrM946IiIiIiOhOGNwSVYAgCAgPD3d4SKJQKFC1alXodDqXCCYiIyMxdepUVK1aVe5SZCMIAgICAtC9e3ds2rQJ06ZNQ2xsrNxl3VNkZKTDVzr+F71ej/r162PLli2YP38+6tSp4/AV6Y504cIFj9puHxMTg88++wwRERFylwJRFKHRaFC1alVJXoeu8ByJiP4pLy8PR48exdGjRwEASUlJOHr0KC5fvixvYUREROSWGNwSVUBxwCoFHx8fAJA9uFWr1RgxYgSaNm0qax2uRKPR4Nlnn8V7772H4OBgucu5K0evciwLlUqFwYMH49tvv0Xfvn1ddguo2WxGUVGR3GU4VPHqeEf1lC2v4muXt7e3w8cWBAHR0dEufVOAiCqnQ4cOoVGjRmjUqBEA4M0330SjRo3wwQcfyFwZERERuSMGt0QV4OPjg6CgIEnGNpvNyMvLk2TssrjvvvvQt29fBiT/oNFo0LlzZzRt2lT2bel3I3ddgiCgWbNmmDZtGt5//32nr/4tDZvNhps3b8pdhkOpVCr07dvXJfpRFxYWStYTOjg4WJJQmIioIjp06ABRFP/18e2338pdGhEREbkh1/stmsiN1KpVq0wn0pdFQkICcnJyJBm7tBQKBR588EFERkbKWoer8vHxQUBAgNxluLzIyEiMGjUKs2fPdrkeyTabDSdPnpS7DIeLjo5Gly5dZA/Ls7OzkZiYKMnYvr6+LhFOExERERERSYXBLVEFtGjRQpLg1mQyYcOGDbIHtxqNBnFxcW5xEJez2Ww2nD59GidOnJC9ncXdyL3i9u+8vLzwzDPPYNKkSS4VdpvNZqxZs8Zlv4flpdPpUL16dVnbZQBATk4ONm7cCJPJ5PCxfX190bJlS4ePS0RERERE5CoY3BJVQEhIiCR9JJOSknDw4EFYLBaHj10W3t7e8Pf3l33Vniux2+3IycnB//73P0yZMgUJCQlyl3RHgiBAqVS6VHir0+nw7LPP4sUXX5Q9UCxms9lw5MgRXL16Ve5SHEqpVCIgIED2VgJmsxmHDh3CpUuXHD62Wq1GSEiIw8clIiIiIiJyFSq5CyByZwUFBbDb7Q4d02q1Yt++fUhMTJR1FaAgCAgICEBQUJBLhX9yKCoqwsmTJ7Fu3TqcOnUKqampSEpKwvXr1x3+/XcUQRBcJhz9O19fX4wePRr79u3D9u3b5S4HAHD69GksWbIEb7zxhsseolZWgiAgKCgI/v7+yM7Olu1aIooizpw5g/3796N69epQqRz3Y4fNZkNBQYHDxiMiIiIiInI1DG6JKmDHjh0YMWIEoqOjHTZmTk4ODh8+7JQ2CSqVCnq9Hl5eXiUhiMlkgt1uh1arRa1atVClSpVKG9wWFRVh3bp1mDx5Ms6ePYuioiLYbDa32Fav1WpdNoQMCgrCokWL0KFDB1y+fFnucpCXl4fJkydDEAQMHjwYwcHBJSvpbTYbrFYr7HY7VCoVNBqNW6xAFwQBVatWRc2aNXH9+nWYzWYoFApotVp4e3tDqVSisLAQeXl5sFqtktZy8+ZNHD58GA8//DACAwMdNm5mZiZ27NjhsPGIiIiIiIhcDYNbogo4dOgQVq5ciRdffNFhIZnJZEJhYaHk4ZCvry8eeeQRdO3aFfHx8TAajTh69ChOnjyJlJQUGAwG9O3bF1WrVpW0DldltVoxd+5cjB8/XvZew+UREREBX19fucu4q5iYGEybNg0vvPACMjMz5S4HRqMR7733HpYvX45evXohIiICgiDAaDTi+vXrKCgoQGhoKBo2bIhWrVqV/L0rq1q1Kh5//HEolUrk5eUhOjoa9erVQ8OGDeHr64vz58/jt99+w9q1a5GbmytZHQqFouSmkKOYTCb8+uuvOHLkiMPGJCIiIiIicjUMbokqwGw2Y9KkScjOzsbjjz+OuLg4qNXqCgU6vr6+aN++Pfbv348zZ87AZrM5sOJbvLy88O677+L5559HYGAgBEGAKIro1KkTsrOzcf36dQiCgCpVqkCv1zt8fnewfft2TJgwwS1DWwBo1KgRIiIi5C7jrhQKBdq3b4+ePXvihx9+cImWEzabDceOHcPx48dL3sOiKJassFYoFAgMDMQzzzyDN99806W/vgCg1+vxyCOPoFGjRgBuhfkBAQFQqVQQBAEtWrTAQw89hDp16mDSpEkoLCx0eA1KpRLx8fFo165dhQ9yFEURFosFFy5cwE8//YTZs2fDbDY7qFIiIiIiIiLXI4jusOeXyAGkXB3n5eWFqlWrIiwsDDExMWjVqhU6dOiA2NhY6HS6Mo0liiJyc3Px119/YebMmdi4cSMKCwsdtj1fqVTirbfewrvvvnvXIKV4LldfUSiVgoICdOvWDbt27ZK7lHJ75513MHHiREkOz3Ok48ePY+DAgTh9+rTcpZRabGwsZs6ciYceesgt2ib81/vZaDRi0qRJ+PLLLx12o0gQBHh5eeGhhx7Cyy+/jEaNGsFgMJT5mlJUVISkpCTs2LEDu3fvxuXLl5GWlobLly9LEjQX449GRCQno9EIPz8/5KQCLrx5puKS5S5AYq531IDjxXn6zrzKsIClMjxHz2Q02uDnd6vFoivvtKSK44pbIgcoLCxEYmIiEhMTIQgCli9fDi8vL7Rp0waTJk1Cw4YNSx3wCIIAX19ftGvXDs2bN8fevXsxefJk7N27F/n5+RWqUxAEdOzYEUOHDr3n6rfKGtgCgN1ux1dffeXWW7C9vLwQGRnp8qEtANSvXx9DhgzBBx984DarJ00mE4qKiuQuo9T+6/3s6+uL559/HocOHcL27dsrHFr6+PigVatWGDt2LFq2bAmdTlfma4rdbseRI0fwwQcfYNeuXSgsLHSb/tJERERERESO4vpLhYjcjCiKsFqtyM3NxaZNmzBy5EgkJyeXeZziFWudOnXCkiVL8Prrr8Pb27tCtYWGhmLo0KGIj4+v0Die7NSpU1i9erVbn1ZfrVo1PPDAA3KXUSqCIOCNN95A586d5S6lVDQaDVq2bIkGDRq4xWrb0oqPj8fQoUMREhJSoXF8fHzwxhtv4IcffkDHjh3h5eVVrhtBycnJGD58ODZt2oTc3FxYrVaGtkREREREVOl4zm+dRC5IFEWcOHECGzZsqFDoEBYWhrfffhuDBg0q9xjFPUUffvjhSr2i9l7S0tIwceJEHDp0SO5SKqRKlSqoV6+e3GWUmkajwfjx4xEWFiZ3Kf8iCAKUSiW0Wi2ioqIwcuRIvP/++4iLi5O7NIdSKBR45JFH0K5duwoF0oMHD8aYMWMq9L0URRHr1q3D6dOnGdYSEREREVGlxlYJRBIzmUxISEiAKIoVCkwNBgPefPNNLF++vFwtE3x9ffHmm2+y/80diKKInJwcPP3009i2bZskB8I5i1qtRosWLcrcW1lujRo1wttvv423334bFotF1lqKDyFr3bo1evTogWrVqiEgIAD+/v4IDw+HXq/3yJsfvr6+GDVqFDZv3gyj0Vjmzy9ebeuIQ8jOnDnjNq0ziIiIiIiIpMLglsgJFAqFQ4Ke8PBw1KpVC4cPHy7z59arVw8NGzascA2eRBRFZGZmYs+ePXj77beRkJAgd0kV5ufnh5deeknuMspMo9Fg0KBBOHDgAFasWCFbeK5UKtGxY0eMHz8ezZs3h1qt9siQ9m4aNWqE+vXrY/fu3WX+3Fq1aiE8PLzCNQiCUKm+5kRERERERHfDVglEElOpVIiKinJIEKFQKODl5VXmzxMEAY0bN4ZKxXs1xQoLC7F06VK8+uqrGDBggEeEtgDQrFkzh4RncggLC8MLL7yAmJgY2WqIjIzEpEmT0Lp1a2g0mkoXIKpUKjRq1Khcz9vLy8shfX8FQUCVKlWgVCorPBYREREREZE7Y4pDJDGNRoM6deo4ZKyioiJcvHixXJ9bUFDAfpEAbDYbtm7dih9++AEbNmxAdna23CU5jEKhwOjRo906bGzfvj0++ugjPPvss7Jsla9bt265g0tPYLfby9WKBQAuXrwIk8nkkDrq1KkDtVrtsPGIiIiIiIjcEVfcEklMrVYjNjbWIWMdOXIEaWlpZf48URSxd+9eZGRkOKQOd2S323H9+nW88sorePLJJ7F8+XKPCm0B4IEHHnD7dhgKhQL9+vXDm2++KcuKS7VaXalXemZkZGDv3r3lusmTlpaGI0eOOKSO6tWrQ61WO2QsIiIiIiIid8XglkhiSqUSer2+wuOkpqbi9ddfL3fvzwsXLmD+/PnIy8urcC3uxGw2IzExEYsWLUKDBg0wZ84cZGRkwG63y12aQ/n5+eHtt99GQECA3KVUmEajwZtvvokBAwY4/ZC1EydO4Pr1606d01Xk5eVh/vz5SEpKKtfn22w2vPbaa0hNTa1wLXq93iFtF4iIiIiIiNwZfysikpgoihU+aKmoqAgzZsxAcnJyhcb4/vvvsXXrVo87rV0URYiiCLvdDpvNhsLCQiQlJWHZsmWYOHEinnzySbz00kseu+JYoVDgoYceQvPmzT1mi39ISAg+/PBDPPHEE+Xq61xe169fx8yZM5GTk+O0OV2B2WzG5s2b8cMPP1SoPUFSUhK++uorFBUVVageq9XK1i5ERERERFTpscctkcTsdnuFVrmKoogtW7Zg2bJlFQ5ck5OTMW/ePNx3332oXbu224Z8NpsN586dw6pVq3D69GkUFhbCZrOVhOQWiwU3b97E+fPnkZWV5fEB0H333YdRo0YhLCxM7lIcKj4+HpMmTUL9+vXx3nvvOaXfqclkwoIFC6BWq/H6668jODhY8jnlJooizp49i3nz5lXo5hBwKwBetmwZWrVqhYcffrjc15i8vDyPf98SERERERH9Fwa3RBITRbFCgVNOTg7Wr1+PlJSUCtditVpx4MAB7Nu3DzVq1HDLHpIZGRmYOnUqvv/+e9y8eRMWi6VkxW1lFBAQgM8++wyNGzeWuxRJREdH45VXXkHTpk0xatQonDhxQvIV41lZWfj888+xatUqLFy4EHXr1oVer3fbGx3/xWKxYO/evTh48CCsVmuFx7ty5Qo2bNiAtm3bws/Pr1xjmEymSvueJiIiIiIiKsZWCUQSU6lU8PHxKffnp6am4vDhww7ryWo2m5GTk+OWPV6tVis+/vhjfPHFF0hLS4PJZILdbq+0AU9ERASmTJlSoZWN7kCj0aB9+/bYvHkzxo4di6ioKMnnNJlMOH36NNq2bYu+ffvi119/RXJyslu+b/6L3W6H0WiExWJx2HhHjhypUK9bvV4PlYr3lomIiIiIqHJjcEsksdDQUERERJT78ysa/P6dQqFAXFwc7r//frcMRc6ePYvFixd7ZHhWVvHx8Zg4cSKGDBni0aHt3wUGBmLcuHH48ssvUbNmTafMabVasWXLFgwePBgvvvgiPv30U5w+fdqjXoNqtRr3338/qlev7rADwby8vCp0jYmIiKgUbSqIiIiIiIjuxf2SGyI34uXlhWeffRb+/v7lHiM8PBytWrXC3r17K7xFPDY2Fm+88QaaN28OpVJZobHksGnTJhQUFMhdhuzi4+MxZ84ctGnTBjqdTu5ynEqpVKJv376wWq0YMWKE0w4RKz68a8eOHVi2bBnatm2LMWPGICYmxu2Dc6VSiRYtWuD111/HhAkTKtznVqvVonXr1hW6YeXv74+hQ4di/PjxKCwsrFA9RERuy/L/PzxVbc9s8/R/bspdgBNckLsAiQ2SuwDp5S2XuwJpOWb9k2uqnJtOKyUGt0QOoFAooNVqoVaroVQqodVqERoaiqeffhrPP/98hUJSvV6Pl156CadPn8b69evL1YNSqVSidu3amDt3Lpo1a+aWvW2BW70zPWmlY1l5e3ujcePGWLFiBcLCwtw+MCwvpVKJ7t27o3fv3vj222+dOrfJZMLJkydx5swZLF++HD169MC4ceNQpUoV6PV6p9biSAaDAYMGDUJ8fDyGDx+OM2fOwGazlXkclUqFHj164MUXX4S3t3e561EqlXjhhRegUCjw/fffIz09HSaTqeTwweI2KURERERERJ6MwS1RBfn5+aF9+/Zo0qQJYmJi4O/vj/DwcMTGxiIoKMghLQmqVq2KWbNmwdvbG6tWrUJRUVGpP9fb2xtdunTBtGnTUL169QrXIqfY2FgoFIpyBUruTKlUolatWnj++efx3HPPwWAwyF2S7Pz8/FC9enUolUpZXg82mw03b97E8uXLsW7dOgwZMgQ9e/ZEx44dodVqnV6PI2g0GrRp0warVq3CqFGjsGXLljKtdtXpdOjbty+mTJmC6OjoCtfj5+eH1157DU8++SSSk5ORmpqKmzdvIjk5GUeOHMH27dthNBorPA8REREREZGrYnBLVAEajQZPP/00Ro0ahYiICKhUKslWQUZHR2P27NmoXbs2Fi1aVKrtzN7e3hg0aBDee+89xMbGSlKXM3Xq1Akqlcphhyi5OkEQEB4ejpdeegldu3ZFs2bN3LLFhafLzc3F7NmzsWLFCgwePBgDBgxAs2bN3HZFdHx8PKZPn46PP/4Yy5cvL1V7ktjYWDz33HMYOXIkAgICHFaLSqVCWFgYwsLCAACiKMJqteLatWv44osvMHfu3Aq3kCEiIiIiInJVPJyMqAIiIyPxzDPPoEqVKlCr1ZIHNQEBARg9ejQWLVqE+++//57zKZVKPP7445g0aZJHhLYAcN9998HX11fuMkpFEASo1Wr4+voiLCwMoaGhMBgM0Gq1UCqVUCgUEAThXx9KpRI6nQ7NmzfH3LlzsXHjRrz99tto2bIlQ9u/MRqNSEpKcqnV1+np6Zg5cyYGDx6MxYsXw2QyyV1SuVWrVg0ff/wx+vfvf8/XnSAIaNiwIRYvXoxRo0Y5NLS923xqtRpVq1bF008/jcjISEnnIyL3dbdWOlarFWPHjnVuMURERETlxBW3RBUQFxeHiIgIp66s8/LyQocOHUpOut+7dy/y8vJue4yPjw/69OmD2bNnV6jPpKvRaDQYOnQoJk+eLHcpdyUIAqKjo9GvXz+8+uqrCA4OLgm+ilcLGo1GpKSk4Pz587hy5Qpyc3NhMBhQvXp11K1bF9HR0fDy8oJarYZCwftr/ySKInbv3o1Vq1bJXcq/WK1WnD9/Hi+99BLWrl2LmTNnIjo62i1X34aFhWHWrFmwWq1YvXo18vPzb/t7vV6PVq1aYcmSJQgODnbqcxQEAZGRkahWrVqFD1MjIs/06quvYv369Zg3b17JTaXExEQMGjQImZmZLv2zBBEREVExBrdEFaDRaGRZBSkIAkJCQrBixQosWLAA69atQ2JiIiwWC2JjY/Hoo49ixIgRHhXaAree95AhQzBnzhzcvHlT7nL+RRAENG/eHDNmzEDz5s3vGmT5+voiOjoaLVu2dHKFniExMREff/yxS74GilksFqxduxbXr1/H9OnT0bx5c7dcMa3X6zFjxgzUqlULa9asQXJyMtRqNWrVqoWePXvi+eefl20VfPHqdCKiO/nrr7/w5JNPon79+li8eDHOnj2LMWPG4LHHHsPXX38td3lEREREpcLglqgCcnNzZd2qXXx4z6OPPoozZ87AYrGgevXqqFWrlscGGlFRUXj88ccxb948uUv5l2rVquHDDz906/6mru78+fMYM2YM9u3bJ3cp/0kURRw8eBDDhw/HtGnT0KFDB7d8XQQFBWH06NF4+OGHkZSUBI1Gg9q1ayMmJsYhhy+Wl81m4+FkRHRXcXFx2L17N15//XV0794dSqUS3333HQYOHCh3aURERESlxuCWqAKysrJgtVplrUGlUiE+Ph7x8fEQRdEtg6GyMBgM6NatG3766Sfk5OTIXU4JQRDQokULtG/fnu0NJHLlyhW888472Lhxo9yllJooijh27BiGDBmCVatWoWnTpnKXVC46nQ6NGjVCw4YNXeYaY7FYkJmZKXcZROTC1q9fjx9//BEPPPAAzp49i4ULF6J9+/bsj01ERERug+kCUQWYTCbY7Xa5yyjhKoGK1Dp16oSHHnrIpZ6vXq9H586d4eXlJXcpHsloNOKLL77A6tWrZb9ZUh4pKSl49NFHcfjwYYiiKHc55eZK7zlRFGGxWOQug4hc1Isvvoj+/fvj7bffxp9//onjx49Do9Ggfv36+Pnnn+Uuj4iIiKhUGNwSVYDBYJB1q3Bl5e/vj/bt28vWW/NO9Ho9OnToIHcZHuvo0aP47rvvZG1NUlHXrl3DyJEjcerUKblL8QhKpRIGg0HuMojIRe3evRv79+/HqFGjIAgCwsPDsWHDBkycOBFDhw6VuzwiIiKiUmFwS1QBNWrU4ApLmfTu3RvR0dFyl1FCo9EgLCxM7jI8ks1mw969e/+zNYZCoUBcXBxGjhyJt99+Gx07dnS59+fhw4cxf/589mZ1AG9vb8TFxcldBhG5qMOHD+P+++//15+PHDkShw8fLvnv3bt3w2QyObM0IiIiolJjcEtUAXXr1nW5YKiyCAkJQZs2bVxm67ZKpfLYA+HkJooirl69ete/FwQBUVFRmDp1Kn7//XdMmTIF48ePx48//oh58+bBz8/PidXem9Vqxbfffovjx4/LXYrb8/b2Rt26deUug4hclFarvevf1axZs+T/9+jR457/xhARERHJicEtUTkpFAqEh4dDrVbLXUqlJAgCxowZA41GI3cpAG4d3qRUKuUuwyMpFAo0a9YM3t7e//o7nU6HBx98EJs2bcKbb76JmJgY6PV6eHl5ITQ0FIMGDcLnn39+z1/gnc1oNOLLL7+E2WyWuxS3plarERYWxsMAiahC3LnvOBEREXk+/rZDVE4KhQIajcZlVnxWRtHR0ahSpYrcZQAAgoKC+FqQiEKhQIcOHdC/f38EBQVBpVLB29sbLVu2xDvvvIMff/wR9erVu+PXX6FQoGfPni7Xf3jjxo3IysqSuwy3JggCNBoNg1siIiIiIvJYPFWJqJxEUUR+fj7sdjuDA5moVCo899xzGDt2rNyloEGDBnKX4HCiKN72YbfbYbfbYbVaSx6jVquhVqslfw9ER0fjo48+wuOPP47s7GwYDAbEx8cjPj7+P1e9h4SEoGfPntiyZQvsdrukdZaWyWTC5s2bMWTIELlLcVt2ux0FBQVcLUdERERERB6LwS1ROdlsNvz5558YMGAAgoOD5S6nUlIoFOjcuTPUajUsFotsdQiCgB49esg2f0WIogiTyYT8/Hzk5OTg6NGj2LZtG06cOIEbN26goKAANputJLQtDslEUYQgCFAoFPD29kaHDh0wevRoVK1aVZK+z4IgIDo6GlFRURBFsUxBsVKpRExMDIKCgnDjxg2H11Yeoiji559/ZnBbAdnZ2fjzzz9hs9nkLoWIiIiIiEgSDG6JKmDt2rVo27YtnnnmGej1ernLqZTCw8PRqFEjHDhwQLYaFAoF6tevL9v85ZWZmYk9e/Zg3bp1WLVqFTIzM8u9IvX8+fNYvnw5hgwZgnfffRfR0dEOrvYWQRDK1ZKiTp06qFOnDnbs2CFBVeVz5coVrtgvp7y8PPz0009Yt26d3KUQkZtjmyMiIiJyZQxuiSqgqKgI48aNw+XLl9G9e3c0btwYBoMBCoWCvwg4SVhYGHr16oWDBw/KtmVao9G4VXAviiL27t2LBQsWYPny5SgqKnLIuPn5+ViwYAFyc3MxY8YMBAYGOmRcR4iIiEBERITcZdzGbDYzuC2l4lYdubm5OHz4MH777TfMnz/fYa9dIvIsoijiypUrCA0NhU6n+8/HEhEREbkqBrdEFXTz5k1Mnz4dK1asQNWqVeHv74+goCBUr14drVq1QuPGjeHn58cgVyIajQZ16tRBYGAgMjMzZanBYDBApXKfy+n+/fvxxhtv4PDhww7fZm6xWPDzzz+jVatWGD58uEPHrgidTgcfHx+5y7iN3W6HzWZzq9eOs4iiiJycHBw+fBh79+7FxYsXkZmZiZs3b+Ly5cu4evWqrO1RiMi1iaKI+Ph4nDp1CjVq1LjnY3Nzc51UFREREVHZ8bdFIgewWCxITk5GcnJyyVZupVIJrVaLqKgovPrqqxg4cCACAgLkLtUjdezYEW3atMGaNWtkmd9gMLhNMJ+RkYHPP/9c0hXKZrMZEydOxFNPPeUyK5EVCgX0ej2USqXL9ET9e89g+j/Z2dlYunQpZs6ciWvXrsFkMsFms5UckkdE9F8UCgVq1KiBzMzM/wxuiYiIiFwZ92cSOVjxll6LxYK8vDwkJibigw8+wIIFC5CXlyd3eR4pICAAzZs3l+RQrNJQKpWyzFseR44cwerVqyUPwLKysvDHH39IOkdZRUREQKPRyF1GCbZU+be8vDzMmzcP48ePx9mzZ5GXlweLxcKQm4jKbMqUKXjrrbdw8uRJuUshIiIiKjcGt0ROkJWVhV9++QWXL1+WuxSP9eSTTyIsLEyWuQsLC2WZt6zsdjvmz5/vlBWnFosFK1askHyesoiPj4e3t7fcZZQoXplP/yc5ORm//PILsrOz5S6FiNzckCFDcODAAdx///3w8vJCYGDgbR9ERERE7oCtEoicQBRFJCUlydaDtTKoUqUK2rdvj+TkZKfPbTQaYbfbnT5vWdntduzevdspc4miiJSUFIii6DKrSuPi4mRblX0nKpWKB5P9Q2ZmJpKTk7m6logqbPr06bLOP3v2bHz22WdITU3F/fffj5kzZ6J58+ay1kRERETuh8EtkZPY7XaXCbA8kSAImDBhApYvXw6z2ezUuQsKCtzioCSbzYb8/HynzVe8xd1VVpVGRERAq9XKXUYJPz8/Brf/IAiCW9wEISLX9/TTT8s2908//YQ333wT33zzDVq0aIHp06ejW7duSExMRGhoqGx1ERERkfvhb4xETmIwGFxqm7YnCg8PR+vWrZ0+r81mQ1ZWltPnLQ9nr2R0pZsVBoMBKpXr3K9s3Lix3CW4HB8fHxgMBrnLICIPceHCBbz//vsYOHAg0tPTAQAbN27EqVOnJJ33yy+/xLBhw/Dss8+iTp06+Oabb+Dt7Y1FixZJOi8RERF5Hga3RE4SHBwMHx8fucvwaBqNBiNHjnT6Kka73e4Wh58oFAqnBpc6nc6lglu1Wu0yq38VCgX69Okjdxkux8fHB8HBwXKXQUQeYMeOHahfvz7279+PlStXlhwQe+zYMYwfP16yec1mMw4fPowuXbqU/JlCoUCXLl2wd+9eyeYlIiIiz8TglshJ/Pz8oNPp5C7DowmCgJo1ayI2Ntbpc+/Zs8fpc5aVQqGAn5+f0+aqXr26SwW3SqXy/7F33+FRldvbgJ89Pclk0iCNEEKH0LtEpIlIk6JIk96OIHAQpdkQlKaIYgE7IFYQEBQpitKl905oCSEJKSSTNnXv7w9+5JOjYsrs2ZPJc19XrnMIM++7JsmM5Jm11wutVqt0GQDuhMiNGjVSugyPYzAYYDKZlC6DiLzAjBkz8Prrr+OXX36BTqcr/HzHjh2xf/9+2fZNT0+H0+n8y4GpYWFhSElJ+dv7WK1WmM3mez6IiIiIAAa3RORlatSogYEDB7o9MLxw4YJb9ysJlUqFhx9+2C176XQ6jBw50i17FZVKpUJQUJDSZQAA4uLi2IFPRCSjU6dOoU+fPn/5fGhoKNLT0xWo6J/Nnz8fAQEBhR+VK1dWuiQiIiLyEAxuidwkOzsbFotF6TK8nsFgQGxsLAIDA926b1mYcSsIAvr16+eWUDs8PBxNmjSRfZ/iatCggeJdwGq1GhMnTrynA4zusFgs7DQjIpcIDAxEcnLyXz5/7NgxVKpUSbZ9K1SoALVajdTU1Hs+n5qaivDw8L+9z8yZM5GdnV34kZiYKFt9REREVLYwuCVyk/T0dOTl5SldRrnQtm1bNGjQwK175uXluf3gr5KoWrWq7OMSBEHA1KlTodfrZd2nJLp166Z4cNugQQPUr19f8To8UV5ensd1whFR2TRgwABMnz4dKSkpEAQBoihi7969eP755zF06FDZ9tXpdGjWrBm2b99e+DlRFLF9+3a0bt36b++j1+thMpnu+SAiIiICGNwSuU1OTg7y8/OVLqNcqFSpEurWrevWg6jsdrvb9iqN8PBwDBw4UNY9WrRogZ49e8q6R0k1a9ZM0QPK1Go1+vXrp8gc5rIgLy8POTk5SpdBRF5g3rx5qFOnDipXrozc3FzExsaibdu2iIuLw0svvSTr3lOmTMEnn3yClStX4ty5cxg3bhzy8vIwYsQIWfclIiIi78PglshNVCpVmejI9AaCIGD8+PEIDg522552ux2iKLptv5Ly9/dHly5dUKFCBVnWr1y5MubMmYOoqChZ1i8tf39/VKxYUbH9mzRpgh49enjMIWmeRpIkRYN1IvIeOp0On3zyCS5fvoyffvoJX375Jc6fP49Vq1bJ/jrTv39/LFq0CK+88goaN26M48ePY8uWLX85sIyIiIjo3zC4JXIDQRBQrVo1hISEKF1KuVGvXj1UqVLFbfs5nU44nU637Vcabdu2Re/evaHRaFy6blRUFBYuXOi2A9BKQqPR4LHHHlNkbx8fH/Tr1w/169dXZP+yICQkBFWrVuUYCSJymejoaHTr1g39+vVDzZo13bbvhAkTcP36dVitVhw4cACtWrVy295ERETkPVz7WzsR/a3g4GD07dsX0dHRSpdSbqjVaowfPx4jR450y352ux0FBQVl4sCpwMBAPPfcczh58iQOHjxY6vVUKhVat26N2bNno127di4PhF1Jo9GgR48e+Pjjj93eAV+1alWMHDmSoeR9xMTE4IknnsDly5eRkZGhdDlEVMZMmTKlyLddvHixjJUQERERuYbn/nZNVEYJggCVSgW1Wg29Xo9KlSph8uTJ6N+/P4xGo9LllStdunSBTqeDzWaTfa+CggJcvHgRLVq0kH0vV6hTpw7Wr1+P8ePH4/fff0d+fn5hx7BKpYJGo4FOp4NWq4VKpYJKdecCjbthpyAI8PHxQfPmzTF27Fg0a9aszHSUh4eHQ6fTwWq1um3Pu5fslpWvkVKMRiPGjh0Lf39/vPvuu0hKSoLVaoXT6YQoihw3Q0T3dezYsXv+fPToUTgcDtSuXRsAcPHiRajVajRr1kyJ8oiIiIiKjcEtkQtotVpUrlwZ0dHRCAwMREhICKpVq4bWrVujadOmMJlM7LJTgL+/Pxo2bIjDhw/LvpfZbMaPP/5YZoJbAIiMjMT333+PI0eOYM2aNbh27RpEUURISAgaNmyIdu3aoUqVKvDx8flLcAvc6Wq++/myxGAwICQkBDdv3nTLfoIg4KmnnkLTpk3dsl9ZFxgYiKeffhoDBw7E0aNHsX//fly5cgUZGRnIyspCQkICEhMTy8yBgETkPr///nvh/1+8eDH8/f2xcuVKBAUFAQBu376NESNG4KGHHlKqRCIiIqJiYXBLVEqBgYH4z3/+g0cffRRNmzaF0WiESqViUOsBDAYD+vTp45bg1mq14uTJk8jOzkZAQIDs+7mKRqNBq1at0KpVq3u6ab2ZwWBAUFCQ24Lbpk2bYsqUKTAYDG7ZzxsIgoDAwEB07NgRHTt2hCRJEEUROTk5OHr0KLZu3YqPP/4YWVlZSpdKRB7qrbfewrZt2wpDWwAICgrC66+/js6dO+O5555TsDoiIiKiomFwS1QKPj4+mDdvHoYMGcIxCB5IrVajfv36EATBLZdYHzx4EDt37kTPnj1l30sO3h7Y3uV0Ot02JsFoNGLQoEGFl+lSyQiCALVaXRjmtmzZEpUrV8bUqVNhsViULo+IPJDZbEZaWtpfPp+WloacnBwFKiIiIiIqvrJ3jSuRB+nZsyeefPJJhrYeShAEGI1Gtx2WlZKSgh9//BG3b992y35UMvn5+bh165bs+6hUKjzyyCMYO3YstFqt7PuVJ0ajEf3798djjz2mdClE5KH69OmDESNGYN26dbhx4wZu3LiBtWvXYtSoUXj88ceVLo+IiIioSBjcEpWQWq1GmzZtEBgYqHQpdB86nQ4+Pj5u2UuSJKxcuRLr1q2DKIpu2ZOKR5IkXLp0yS3dVtHR0Vi4cCHf2JFJUFAQ2rRpA7VarXQpROSBPvzwQ3Tt2hWDBg1ClSpVUKVKFQwaNAhdunTB0qVLlS6PiIiIqEgY3BKVkCAI8PPzK5OHM5UnWq3WbcEtANjtdrz66qs4efKk2/akoisoKMC7774r++gMrVaLl156CTVr1pR1n/JMpVLB19e33Iz4IKKiczqdOHz4MObOnYuMjAwcO3YMx44dQ2ZmJpYuXQo/Pz+lSyQiIiIqEiZORCUkiiJsNptbZqdSyWm1WrcfCnXjxg1MnToVmZmZbt2X7k+SJCxZsgT79++XdR9BEPDf//4XAwcOlHWf8k6SJNhsNna3E9FfqNVqdO7cGVlZWfDz80PDhg3RsGFDBrZERERU5jC4JSohURSRkpICu92udCl0HyqVSpH5or///jsmT57MebcewuFw4Mcff8R7770Hp9Mp2z6CIKBt27YYPXo0fH19ZduH7nS3p6SkMLglor9Vv359XLlyRekyiIiIiEqFwS1RKZw+fRr5+flKl0EeyOl04rvvvsOcOXNgNpuVLqdcs9vt2Lx5M1544QUkJyfLulelSpXw7LPPonbt2rLuQ3cOmTt79qzSZRCRh3r99dfx/PPP46effkJycjLMZvM9H0RERERlgXuOWifyUvHx8bBYLEqXQfchiiIcDocie9tsNnz88cfQarWYP38+D1FSgCRJ+O677zB37lycP39e1r10Oh2mTp2KHj16yLoP3ZGfn4/Lly8rXQYReahu3boBAHr27HnPLGxJkiAIgqxXXxARERG5CoNbolLIyclRLBSkonE6nbDZbIrtn5+fjw8++ACiKGL+/PmKjG0or5xOJz766CPMmTMHqampsu/Xrl07jBw5kgG9mzidTuTk5ChdBhF5qN9//13pEoiIiIhKjcEtUSno9XqoVJw44skcDofiXdH5+fl4//33YbVaMXv2bAQHBytaT3lw92s+f/58ZGVlyb5fTEwMPvzwQxiNRtn3ojsEQeAbIUT0j9q1a4esrCx89tlnOHfuHAAgNjYWo0aNQkBAgMLVERERERUNg1uiUggODoZGo+zTyOl0IjExEWfPnoXNZkO1atVQq1YtGAwGRevyFHa7HVarVekyYLVa8fHHH8Nut+O1115DxYoVlS7Ja1mtVqxYsQJvvfWWW0Jbo9GIV155BVWqVJF9L6U4HA6kpKQgOTkZRqMRlStXVjyk1mq1CAkJUbQGIvJchw8fRpcuXWAwGNCyZUsAwNtvv4158+Zh27ZtaNq0qcIVEhEREf07BrdEpeDv76/oZdE5OTlYvnw5Nm7ciAsXLsButyMmJgY9e/bEuHHjEBQUpFhtnsLpdMJutytdBoA7M28//fRT3L59G0uXLmXoJJMdO3ZgwYIFuHXrllv269ixIx599FGvHZFgNpvx9ddfY+PGjUhKSoKvry/q1KmDwYMHo127doq9eaVWq2EymRTZm4g837PPPovHHnsMn3zySeHrlMPhwOjRozF58mTs2rVL4QqJiIiI/h2DW6JSsNlsihxuIUkSMjIyMGTIEOzdu/eeOY+pqak4ffo0zp8/j6VLlyreFac0h8PhUXOInU4nvv/+e+Tn52PZsmWIiooq0Tp/PnRNo9FwZMf/uX79OsaPH4/ExES37BceHo5Ro0YhMjLSLfu5W35+PmbMmIGvv/4aZrMZkiQBAA4dOoQtW7Zg+PDhePnll+Hr6+v22pxOp+JjUIjIcx0+fPie0Ba489/LadOmoXnz5gpWRkRERFR0/E2fqBQuX76MmzdvFoYZ7lBQUIBdu3bhkUcewdatW//2cJ68vDx8/fXXmDBhglsOZfJUkiQhPz/frd+fohBFEZs2bcLEiRNx9erVYt8/NTUV33//Pf773/9iwoQJ+Pnnn2E2m2WotGxJSEjAgAEDcOXKFbfsJwgCWrduje7du7tlP3e7desWpkyZgo8//hjZ2dn3PI+cTidSUlLw5ptv4oknnsDp06fd2tkuSRJu3rxZoucPEZUPJpMJCQkJf/l8YmIi/P39FaiIiIiIqPjYcUtUCjdv3sSKFSsQEhKCyMhIaDQaCIIg2363b9/GBx98gM8++wzXrl27722dTifWrFkDrVaLF198ETExMbLV5alEUURiYqLHBbfAneBpw4YN8PHxwbvvvosKFSoU6X4nTpzAwoUL8cMPP8BisUAQBGzbtg2vv/46BgwYoPjMZaWkpaXh1VdfxZEjR9y2p8FgwAsvvOCVIxISEhKwYMECfPnll/e9qsDpdGLr1q1IT0/HmDFjMHjwYFm7byVJgsPhKHztvXnzpmx7EVHZ1r9/f4waNQqLFi1CXFwcAGDv3r2YOnUqBg4cqHB1REREREVTPn/DJ3IRm82GlStX4tq1a2jatCliYmIQGBiIiIgIxMTEICQkxGVBWnJyMp577jn88MMPKCgoKNJ98vPz8fXXX+PWrVt45513ULVqVZfUUlbYbDaPnmEnSRK+++47qNVqfPrpp9Dr9fe9/aFDhzB9+nTs3LkToigWrpGYmIiff/4ZnTt3RmhoqDtK9yh2ux1r167FunXr3Nr1+cgjj6Bx48Zu289dEhIS8Nxzz2Hz5s3Iy8v719tLkoTDhw/jypUrOHbsGBYuXOiy2bMOhwPp6em4du0aUlJScPv2bVy/fh1HjhzBrl27YLPZXLIPEXmfRYsWQRAEDB06tHC0kFarxbhx47BgwQKFqyMiIiIqGkHyxFY0IhnI2QmrUqmg0+mg1WqhVquh1+tRsWJFDB8+HGPGjCl1iJGYmIiJEydi06ZNJZrXqlarUa9ePXz88cdo2rQptFptqeopK7KyslC7dm23HVJVUlqtFoMHD8Y777zztz8roijiyJEjmDJlCvbt21cY2v5Z27Zt8emnn6JmzZruKNmj7Nu3D926dUN2drbb9tRqtfjtt9/Qpk0bt+0pN4fDgbNnz2LEiBE4efJkiV5rdDodBgwYgMWLF5f68L2srCx88skn+OKLL3Dr1q3CmeJ2ux02m+1vnweuwn8aEXmP/Px8XL58GQBQvXp1RWZyF5fZbEZAQACyEwGvPoPR1FTpCmSWpXQBbnBZ6QJkNkjpAuSX+43SFcjLT+kC5GM2AwGBQHZ2Ng/s9XLsuCVyAVEUYbFY7jkoJzU1FS+//DIAYPLkySW+nDo/Px8fffQRtmzZUuJDtpxOJ06ePInBgwdjzpw5eOyxx8rFoWWpqalIT09Xuox/ZbfbsWrVKjidTkyePBmxsbHQ6XSQJAk5OTnYsWMHZs2ahRMnTvzjGoGBgfDz8+J/mfwNSZJw6NAh9O7d262hLQC0a9cONWrUcOuecsrPz8eWLVvw4osv4sKFCyUOLm02G9atW4eGDRti4sSJ0Ol0JVrH6XTi448/xqxZs3gAGRGViq+vLxo0aKB0GUREREQlwuCWSEYFBQVYvnw5hg8fXuLus5SUFOzbtw9Wq7XU9Vy5cgWLFy9GpUqV0KZNG6hU3n0+4fLly2XtynMlh8OBL7/8EidOnEC3bt1QoUIFOBwOXL16Fd9++y2ysrL+8b4qlQrVqlUrdYdjWfPHH39g3LhxSEtLc+u+Wq0Wjz/+uNeMpXA6nTh48CDmz5+PixcvlrrbNC8vDwcOHMCgQYMQERFRojWysrKwfPlyhrZEVL4Z/u/DW9mOKl2BvP55RLz38PHyjtQEL+9GBYDoakpXQCUliACuKV0FuQGDWyKZpaWlITk5ucShmsPhcEloC9zpDL506RJOnjyJVq1a/etM1bIsNzcXa9euVbqMYhFFESdOnMCpU6eg1WohSRLsdvu/BmnBwcFo2rSpV38//9epU6cwadIknD592u1716tXD61atfKaNz6sViv27NmDc+fOueSNDkmSkJ+fX+IrBIA7Bz+WhW55IiIiIiIiOXnHb51EHszhcBTpgJ9/Eh4ejqZNm7rs5HqtVguTyeQ1odPfkSQJH3zwAZKSkpQupUREUYTVaoXNZitS92NsbCx69erlhso8Q3x8PPr06YOjR4+6vaNapVKhWbNmaNiwoVv3lZMgCC59PdBoNGjYsGGpOsBzc3NLFfwSERERERF5A+9Nbog8hCAIpeqE9Pf3R9euXVG5cuVS16LVatGqVSu0aNECGo33NtwnJCTgp59+QkFBgdKlyE6n06Fv377lYiC9JEk4ePAgunbtisuXLytygFRQUBC6devmVc8fvV6PuLg4VK9e3SWHOFavXh2dO3cu1QFABoNB1gMliYiIiIiIygIGt0QyU6lUpToITBAEPPzwwxgyZEipL4WvWrUqxowZ47KAxhM5nU78+OOPOHrUy+em/Z/AwEAMGzZM6TJkJ4oifvvtN4waNarwdHAlREVFoWvXrortLweVSoWmTZti8ODBpZ6TbDAYMHz4cDz44IOlWsfPz89rX6OIiIiIiIiKisEtkcwEQSj1mAO9Xo8JEyagatWqJV7DYDBgyJAhePjhh0t80ntZcOXKFXz22WfIz89XuhS36NKlC/z9/ZUuQ1aSJGHnzp34z3/+gzNnzijSaQvceS6PHj0aPj4+iuwvJ5PJhMGDB+Phhx8u1etV7dq1MXbsWGi12lLVo9FoGNwSEREREVG5x+CWSGZOpxO5ubmlXic0NBTvvvtuiUOVGjVqYMyYMaXq/vV0oihi586dOHnypNKluM2wYcO8OuAqKCjA2rVr0bNnT8XGI9wVEBCAwYMHK7a/3MLDwzFz5kyEhoaW6P5qtRpLlixBcHBwqWvJzc11+/xiIiIiIiIiT8PglkhmdrsdV69edclajRo1Qnh4eLHvJwgCHnzwwVJfBu3p8vLyMGfOnHIT+KhUKkRERChdhmzS09Px3nvvYfTo0S5586O0hg4d6tVvfAiCgNq1a6Np06Ylun9kZCTq1avnklquXLkCu93ukrWIiIiIiIjKKga3RDKz2Ww4d+6cS9bS6/WoXr16ie7r6+vr0pPjPdGRI0dw8+ZNpctwG0EQvOqQrD/LzMzE3LlzsWDBAmRnZytdDvz9/TFgwACv/XrfpdVqERMTU6Iu7urVq7tsDMvZs2cZ3BIRERERUbnn3b+BEnkAh8OBpKQkSJJU6kvaRVEs0exWSZJw9OhR2O32Uh9w5sk+/PBDOJ1OpctwG0mSvDLcslqtmDBhAjZs2OAxs4r79u2LOnXqKF2G7CRJwo0bN0o0kiInJ8cl3e53ayhPz2UiIiIiIqK/493td0QeQhRFl8zmTElJKXH37okTJ3D8+PFS1+CpHA4HTp8+rXQZbiWKIi5evKh0GS6VlpaGIUOGYPXq1R4T2gYEBKBDhw4ICgpSuhTZ3bp1C4cOHSrRfc+dO4cbN26UugZJkhSdZUxEREREROQpGNwSycxgMKBOnTql7rbNycnB4sWLkZeXV6L7m81mvPXWWx5x2bkcLBYLrFar0mW43Ycffug1M31v3LiBadOmYePGjR7VbRkXF4cuXbooXYbsHA4HvvzyS6Snp5fo/vn5+XjzzTeRlZVVqjoEQUDdunVdNnaBiIiIiIiorGJwSyQjQRBQv359dO/evVTBbWpqKubPn4+vv/66xGuIooidO3fixx9/9Jqg789c1dVc1uzbtw8HDx4s8u0lSUJOTg7Onz+PU6dOITs72yO+btnZ2Zg7dy5Wr17tUQG8v78/Bg4ciIoVKypdiuxOnjyJr776CjabrcRrrFmzBnPmzEFCQkKJf64EQUCPHj1Qv379Ur/hRUREREREVJYxuCVyMZVKBa1WC5PJhO7du2PZsmWoUqVKsdeRJAn5+fn49ddfMXDgQCxZsqTUl46npaXho48+wvnz50u1jicyGAwwGAxKl+F2ubm5ePXVV5GWlnbf29ntdiQmJmLo0KFo2bIlHn30UXTv3h2dOnXCF198oWhY6nA48Prrr2PFihUeMx7hrurVq6Nv375KlyG7zMxMfP7556V+bSgoKMCyZcvQr18/rF+/vsRzb2NiYrBs2TJ069YNJpMJWq3W6w9XJCIiIiIi+l+C5AmtVkRuIGfnlq+vL6KjoxEREYHo6GjExcWhXbt2qFKlSrHDREmSYDabceTIEbz//vvYsmULCgoKXFarSqXC+PHjMXv2bAQHB/9jDYC8XzNXkyQJ48ePx0cffeQRHaTupFKp0KdPH8ycOROxsbEwGAwQBAGiKOL27du4ePEiVqxYga+//hq5ubl/uX9kZCSWLVuGxx57zO3fc4vFgo8++gjTp0/3qE5b4M7zeu/evWjcuLHSpZSa0+mEKIpQqVRQqVSF3+e7rzcff/wxXnvtNeTk5LhsT51Oh9atW2PKlCl48MEHERwcXOyfL4vFguvXr2Pnzp3Yt28fEhISkJycjISEBFlD/vL2GkJEnsVsNiMgIADZaYDJpHQ1VGKeM/VJPj4Dla5AXgnfKF2B/KKrKV0BlZDZLCIg4Bqys7Nh4n8svBqDWyo35AqkKlasiIkTJ+LJJ59EtWrVoNVqS7VXbm4u1q1bhzfeeAPnz5+XZdanTqfDtGnTMG7cOISHh0OlUkGSJDgcDpjNZmRmZkKtViM0NBR+fn5lJsCNj49Hp06dcP36daVLcTtBEAq7QyMiIqBSqVBQUICTJ09i48aNMJvN973vxIkTMXfuXBiNRrfV7HA4sG7dOjz77LO4efOm2/YtCkEQMHbsWCxZsgR6vV7pckolKysLx48fR2pqKkwmE6pUqYKQkBAAQGJiIjZs2IBly5YhIyPD5XurVCrExMTg2WefxdChQ0v1j0pJkmC323HlyhWsWbMG77333r92mpdmLyIipTC49RIMbss+BrfkwRjclh8apQsgKst0Oh1eeeUVjBkzxmXhjtlsxo4dO3D58mXZDmiy2Wx4++23cebMGXTp0gWxsbGw2Ww4f/48zp49i1u3biEyMhL9+/dH8+bNodVqZanD1apWrYrXXnsNL7zwgktOty9LJElCfHw8Fi5cCLVaDeDO3N+iXKYuSRIOHjyIvLw8twa3hw4dwiuvvOJxoS0AtGjRApMmTSrzoa3dbsf27dvxzjvv4MaNGzAYDAgPD0dISAhEUURiYiLOnTtX4kMP/83dPXbv3o2ePXuW6h+VgiBAp9OhTp06mDZtGgICAjB16tRSzeQlIiIiIiLyZAxuiUqhefPm6N27t0vDHb1eDz8/P9kPEMvLy8PGjRuxfft2+Pn5QZIkWCyWwsvVK1asiMjISNSvX7/MBLdqtRr9+/cvDHAPHDiAvLw8OJ3OctNBd7dzurhyc3Nle6Pg79y4cQNPP/00Lly44LY9i8pkMmHIkCGoXbu20qWUWm5uLtauXYvDhw8XPrcvXrwIQRAgSVLhh9z8/f1dOoNar9ejT58++Oabb7B//36XrUtERERERORJGNwSlUK7du0KLzl2lYCAADRr1gwBAQGyXQZ8l9PphNls/tvL6NPT03HlypUy182m0+nQpk0bbNq0CZcuXcJXX32FU6dOwWw2w2KxoKCgAFarFTabrTCoVKvV0Ol0MBgM0Ol00Gq1UKvV9xyG5HA4YLFYkJmZiVu3biEvL8+rwuDg4GBoNO75T0JBQQFefPFFnDx50i37FYdGo8FTTz2FsWPHFnYul2W5ubm4dOkSrFZr4c+ru39uTSYTWrdujaCgIJeuGxISgnbt2jG4JSIiIiIir8XglqgUfH19XX7SuUajQevWrVG3bl2kp6crFg7abDZkZ2fDbrcrsn9paTQa1K1bF6+//jpEUYTNZkNeXh6ysrKQnZ2NvLy8wlBap9PBaDQiICAA/v7+8PHxKTzF/m5nosPhQHZ2Ni5duoQTJ07g5s2bOHfuHHbt2oXbt2+X+RA3NDTULZ3VTqcTy5cvx5o1a2TfqySaNm2KF154ATqdTulSXCI3Nxdms1mxn09BEFC3bl3ExcW5/OdLrVbD19fXpWsSERERERF5Ega3RKWQlpYGu93u8jmYMTExaNasGfbv369Yx6vT6cTt27dRUFCgyP6upFKpYDAYYDAYStwhrdVq4ePjg/DwcDz00ENwOp1ITU3FxYsXcerUKbz11ltISEgoswGuuw6g+/nnn7Fw4UKP/LkKCgrCm2++iaioKKVLcZm0tDTk5uYqtr9Op8MDDzyAatVcf/CF3W7HrVu3XL4uERERERGRp3BtqyBRObN//37k5OS4fF29Xo/u3bsjMDDQ5WsXlSRJuH79erk75Kuo1Go1IiMj0b59e4wbNw6HDx/G5s2b8fDDD6NixYplZi7wXRcuXJDtgKq7zp8/j0WLFiExMVHWfUoiICAAH374Idq0aaN0KS4jSZJbvq/3ExQUhJ49e8pyyJvZbMaBAwdcvi4REREREZGnYHBLVAoXLlyQJbgFgNq1aysa3AJAQkICjhw5Uubm3LqbRqNBhQoV8Oijj2Lbtm04dOgQJk2ahEcffRS1atVy6aFMcrlw4QJ27dr1jweUlfYQK7PZjMWLF2PXrl0e15UcEhKCefPmoU+fPi4ffaIkp9OJM2fOID8/X7EaKlSogDp16siyttlsxsWLF2VZm4iIiIiIyBNwVAJRKeTl5SEjI0OWtXU6neLzGwsKCvD999+ja9euqF27tqK1lBUqlQpVqlTBokWLkJubi+PHj+PYsWNITU3F2bNncfjwYaSkpHjc7GCr1YpZs2YhLy8PnTt3RkhICBwOBxISEnDy5EncuHEDNpsNwcHBaNOmDerVq1fkrmK73Y4FCxbgs88+k/lRFJ+fnx/mzJmDESNGlLku6X+TlZWFa9euweFwKFZDYGCgLN22wJ0DFJUMpYmIiIiIiOTG4JaoFERRREJCAlq3bu3yte9e3nz3cCwlSJKEgwcPYt68eXj//ffh7++vSB1lldFoRJs2bdCmTRvY7XZkZGQgOTkZt2/fxqlTp7Bq1SqcPHnSY0Lcy5cvY8aMGfjwww/h6+sLh8OBrKyswjmpoijCYDCgcuXK6Nq1K1599VUYjcb7rulwOLBgwQK8++67EEXRTY+kaIxGIz766CP07dvXaw4j+7PTp0/jzJkzih5MptfrZfn5liQJiYmJ/9ghTkSklLlz52LTpk04fvw4dDodsrKylC6JiIiIyjAGt0SlIEkSUlJSIEmSSw93uhsIWywWRYNb4E635OrVqxEYGIhXXnmlxId7lXdarRbh4eEIDw8HALRr1w6jRo1CUlISpk+fjt27dyMzM1PRGiVJQmZm5n3rsNvtOHv2LC5evIjdu3dj+fLlqFGjxt8Gn1lZWXj//fexYMECj+qM1Gg0qFevHhYuXIhOnTpBrVYrXZLLORwOnD59WtEZ1Wq1Gg6HAxkZGQgODnb5AXjJyckuXY+IyBVsNhuefPJJtG7d2iOvNCEiIqKyxXuG+REpQBAEWK1WlwerNpsNycnJ0Gg00Ol0is/dtFgsWLVqFZYuXcrOERdRq9UwGo2oXbs2vv/+e6xcuRKNGzdW/HtdVA6HAwcPHkSvXr3w/vvv4/Tp08jPz4fNZkN6ejq2bduGqVOnYvbs2R4V2vr7+2P06NFYs2YNHn30Ua8MbYE7z9nr168rMp9aEARotVr4+fnBYDAgMzPT5Z2xoijCZrO5PAwmIiqt2bNn49lnn0WDBg2ULoWIiIi8ADtuiUpBrVZDFEU4nU6XBm6iKCIgIAANGjSATqeD2WxGTk4OsrOzZQmKiyIrKwurV6/GQw89hLZt25aZgLEs0Gg06NatG0JCQjBu3DicOHFC6ZKKLD4+HjNnzsSaNWtQt25d6HQ6ZGRkYO/evR7VEalSqdC6dWsMGTIEw4YNKxMHxpWGKIqw2+1uDTa1Wi0qVKiASpUqwd/fHyaTCQ0bNoSvr6/LX7NEUYQoilCpVB43goOIqLisViusVmvhn81ms4LVEBERkSdhcEtUCiqVCmazGQUFBdBoNC4LSbRaLRo0aICJEyeioKAAarUaTqcTN2/exI8//oht27YhOzvbrQGuJEm4ceMGLl++jAcffJDBrYupVCo88MAD+OSTT/DII48gOztb6ZKKzGazYf/+/di/f7/SpfyFIAgIDAzE008/jTFjxiA6Otpru2z/zGAwoEaNGvDz85M9AFCr1WjQoAFGjRqF5s2bw2QyQRAEOJ1O6HQ6hIaGuvRrLkkSCgoKYDabC8cxEBGVZfPnz8fs2bOVLoOIiIg8EINbolKQJAmnT5/G0aNHUb16dfj4+ECn08FgMECr1ZY4yNVqtYiMjERERAQEQShcR5Ik9O3bFwcOHMDs2bOxe/dut4YWvr6+MJlMDG1lIggCmjdvjueffx6vvPKKorONyzqdTofw8HA89NBDWLRoESpWrFguAtu7dDodevXqhePHj2P16tXIycmRZR+DwYAhQ4Zgzpw5f/kaS5JUOP+7NG9qSZIEu90Oi8UCm82GgoICxMfHK3rwGhGVLzNmzMDChQvve5tz586hTp06JVp/5syZmDJlSuGfzWYzKleuXKK1iIiIyLsIEn/roXJCjkuG1Wo1QkND0bBhQ4SFhUGr1cJkMiE6OhqxsbFo0aIFgoKCXL4vcOdgnmeffRbff/+9W05W9/PzQ79+/fDKK68gJiZG9v3Ks+TkZHTq1Alnz55VupQyx2AwoHXr1mjZsiUGDhyIBg0alNs3GiRJwq1bt7B8+XJs2rQJx44dQ15ensvWV6vVGDVqFN555x34+Pi4bN0/y8zMxKFDh3D27FkkJCQgJycHNpsNt27dwokTJ5CWlibL6x//aUREf5aWloaMjIz73qZatWr3HNS5YsUKTJ48uURnA5jNZgQEBCA7DTCZin138hTy//NceT4Dla5AXgnfKF2B/KKrKV0BlZDZLCIg4Bqys7Nh4n8svBo7bolKwel04tatW/j9998hSVLhrEWNRoOIiAg88sgjeO211xAWFubyvSMiIvDmm2/C6XRi7dq1sgYNRqMRQ4YMwYQJExAdHS3bPnRHhQoVMHLkSEybNo3zO4tArVajatWq6NOnDxo0aICHHnoIVapUKfcHVwmCgLCwMDz//PPo3bs3/vjjD2zatAlbtmxxSYDbsWNHzJo1S7bQNjk5Ga+88gp+/fVXJCcnF15doFKpCkcxuONNKyKiihUromLFikqXQUREROUQg1uiUvq78MDpdOLatWtYuXIlcnNzsWLFinu6MFwlKioKU6dOxdWrV3HkyBGXr69SqVC5cmXMnDkTffv2RXBwcLkPw9xBq9UiLi4O1apVQ3x8vNLleAyVSgW1Wg21Wl04w3XAgAFo3749QkJCEBoaCl9fX6XL9DgajQZ16tRBrVq10LNnT1y5cgVLlizBDz/8gPz8/BK96WMymTBq1CiEh4fLUPGducmTJ0/G+vXrYbfb7/k7hrVE5MkSEhKQmZmJhIQEOJ1OHD9+HABQo0YNGI1GZYsjIiKiMofBLZGMbDYbNm/ejG3btqFHjx4uX18QBDRr1gxDhw5FfHy8Sw+0UqlUaNCgARYsWICHH34YWq3WZWuXRVarFXl5eRBFsXCO8d0D6eQIs5s3b47u3bvjvffeK5ddt4IgwM/PD+Hh4QgMDERISAiaNGmCTp06oWHDhggICIBarS7svqR/p1KpEBISgpCQECxfvhxDhw7FggULsGfPnr+Eo/+mXbt2sh5SuHXrVmzZsqXYdRERKe2VV17BypUrC//cpEkTAMDvv/+O9u3bK1QVERERlVUMbolkZjabsXbtWnTt2lWWw5HUajW6deuG5cuXF3Z1uEJQUBAmT55c7kPbgoIC7NmzB/v378eVK1dQUFCA4OBgREREwM/PD1qtFnq9HqGhoWjcuDGioqKg0ZT+pVWr1aJz585Ys2YNbt686YJHUjaoVCrUrFkTHTp0QO3atdGpUyfUrFkTer1e6dK8yt2fr9jYWMyePRsrV64sckh6dzRFhQoVZKnN6XRizZo1yM3NlWV9IiI5rVixAitWrFC6DCIiIvISDG6JZCaKIlJSUpCXlyfb0PDAwEAEBARAEASXzbqtWbMmevXqVa5DW7vdjvXr12P27Nm4fPnyXy7Rvtttq9FoEBQUhNq1a6Nhw4aYNGkSatasWer9H374YTRq1AjJycnl4rCkKlWqYPTo0ejUqROaNm0qy3gRuldUVBTmzp0LSZKwYsWKIo8hkLPTOS8vDykpKeWy05yIiIiIiOjPyudR20Rulp6eLlvXpCRJuHbtGtLS0lwW7gmCgE6dOiEwMNAl65VVCQkJeO+993Dp0qW/DbTuHkhns9mQmpqKXbt24cMPP0TXrl1x4sSJUu+v1+uxYMEC2Q5/8hRarRYdOnTA9u3bMXXqVDzwwAMMbd0oNDQUEydORIsWLYp0e1EUcf369X89Yb2kbty4gbS0NFnWJiIiIiIiKksY3BK5QUpKimyHTGVkZODzzz/HlStXXLamSqVC27Zty/3s0MzMTJw7d65YgbjD4cDly5cxYMAAXL16tdQ11K9fH3369Cn1Op4qNDQU06ZNw+bNm1G9enWORFBIvXr10Lt37yId7iZJEnbu3Ik9e/bIclBYfHw8g1siIiIiIiIwuCVyi+zsbNy6dcvl69psNmzcuBE//PADLBaLS9cOCQlx6XplkUajKXGQeO3aNaxYsaLUXdAqlQovv/wyYmJiSrWOJ4qIiMDLL7+MGTNmMLBVmEajQdu2bREZGVmk29++fRvLly+Xpes2NTUVZrPZ5esSERERERGVNQxuidzAbrcjLy/P5XNKr169irfffhspKSkuXRcArFary9csayIjI/HQQw+V6L4WiwWXLl1CQUFBqeuIiYnBqFGjZDncTim+vr547rnnMHz4cBiNRqXLcRlJksrsPOLatWsjNDS0SLeVJAm//fYbNmzY4NIaJElCXl5ekQ9KIyIiIiIi8mY8nIzIDe4eGiZJksvGDzidTnz22WfFvpS/KCRJwunTp9G6dWuXrlvWhIaGonfv3tixY0eJOgtzcnKQm5tbpMvP70ev12Pw4MHYvXs3tm3bVqq1PIFKpcLQoUMxYcKEMt9pm52djatXr2L16tX45ZdfkJWVBY1Gg0qVKuGJJ55A165dERISAj8/P6hUpX+vtKCgAGlpaTh8+DD27NmDlJQUGAwGxMbGokGDBqhWrRpCQkIQGBhY7P38/f2LdYCizWbDW2+9hYEDB7osfC+roTcREREREZEcGNwSuYG/vz8qVKjg0pmxBQUF2L59uywzJkVRxMaNGzFixAhoNOX3ZUIQBPTv3x/Xrl3DwoULkZubW6z7a7VaaLVal9QSExODgQMH4tChQ7h9+7ZL1lSCSqXCo48+ijfeeKNMh7YWiwW7d+/G3Llz/3bW6/nz57F9+3bodDp07NgRw4YNQ4cOHRAWFlbiPW/cuIF33nkHK1asQGZm5t+GnBqNBnXq1MHLL7+MTp06ITg4uMjrq9VqBAQEFL7RVBQ3b97E2bNn0bJlyyLvcz+CIKBChQrw9/d3+fgXIiIiIiKisoajEohkplar0ahRIzRp0sTlh325ooPvn5w8eRLHjh2Tbf2yQqvV4vnnn8esWbMQGBhY5PupVCqEhIS4dAzAoEGD8MQTT5TpQ+Pi4uKwePFi+Pv7K11KieXk5ODTTz/F4MGDsXPnzvu+eWKz2bBlyxYMHToUkyZNwtq1a0s0BqCgoABz587Fe++9h4yMjH8MVh0OB06fPo3//Oc/WLp0KbKzs4u8h0qlQmRkZLFeVxwOBxISEop8+38jCAKaNm2KRo0aedVoECIiIiIiopJgcEskI7VajVatWuHFF19EjRo1XLq2wWBAXFycbOFGcnIyli5dKsuhamWNwWDApEmTsHz5cjzwwANFCk5DQkLQo0cPl3XcAoBOp8OLL75Y5AOkPE21atUwa9Ys1KpVS+lSSszpdOKnn37CnDlzivXcsNvtWLNmDSZOnIgFCxYgKyurWPtevXoVq1atgs1mK9Lts7Ky8N5772HHjh3FGj9Qr169Yr2mqNVqlx9kWLNmTbz44oto0aIFw1siIiIiIirXGNwSyUCj0SAmJgavvfYa1q5di4ceesilAd7dPZ566inExMTI0oFpt9vx3Xff4dVXX8WVK1fgcDhcvkdZotPp0KtXL/z888945ZVXEBMT84+X+huNRjz11FPo1q2by+uIiYnBV1995fKwTG4mkwnTpk1Dhw4dZO0Ul9u1a9cwc+ZMpKWlFfu+kiQhOTkZr7/+OiZMmFCsbtiPPvoIeXl5xdrv1q1bWLlyZbFGa7Rq1Qo6na7ItzeZTIiNjS1WXf9Gq9Wibdu2WLduHV599VXExMSU65EtRERERERUfpXd356JPJTBYMCAAQOwZs0aTJs2DeHh4bIFVXXr1sWwYcMQHBwsS3hbUFCATz75BEOHDsXq1asRHx+P3NxciKLo8r3KAkEQEBQUhFdffRUHDhzAjBkz0Lt3bzRv3hzVqlVDvXr10LVrV8yfPx8LFy50eVh/V1xcHN566y2Eh4fLsr6r+fr64plnnsHYsWPLfAflsWPHSj0awGaz4ZtvvsE777xTpBnVkiRh586dJdrrl19+KdbBelWqVCnyGAtBENCiRYtizdEtKpVKhYiICMycORNr1qxB//79y/RMZCIiIiIiopJgCwuRCwmCgB49emDhwoVuuZzd19cXDz/8MH7//Xfs3bu3yJdRF4fD4cC+fftw6dIlPPjgg+jSpQseeughVKpUCQaDAWq1GiqVqkzPXS2J0NBQvPrqq8jPz8f169eRnJwMPz8/VK9eHSEhIbJ+PbRaLZ544glYrVbMmDHDow8r8/PzwzPPPIMXXnihzP+MSJKE7du3F2v0wD8RRRGrVq3CU0899a9jVCRJQk5OTon2yc/Ph9lsLvLtfX19Ubt2bSQnJ//rbbVaLTp37ixrGK9Wq9G8eXO88cYbsFgsWLdunUu+/kRERERERGUBO26JXMjHxwcTJkxw6wxSk8mE8PDwYl3eXFySJCEtLQ1bt27FBx98gLVr1+Ly5cvIysqCzWYrtx24wJ2gq27duujYsSNatWqFChUquCWgNBqNGDp0KL744guXHoDmSkajEZMmTcLMmTM9tsbicuXIkNu3bxfpAEBRFEu8ryiKxQr2VSoVOnfuXKSfYb1ej/DwcLf8vEdGRuKZZ56Bj4+P7HsRERERERF5Cga3RC7k6+uLSpUquWUvp9OJ5ORkbN++HadOnYLVapV1P0mSYLVakZ6ejpycHAiCAI1GU9hxS+5nMBjQvXt3/P7773jggQdgMBiULgnAnc7zmJgYLFmyBLNnz0ZgYKDSJbmEIAjo2rWryzpMNRoN/Pz8/vV2kiSV6s2R4szSvTv+oCgzZe12O44fP17s2bslFRUVBV9fX7fsRURERERE5AmYthC5UH5+frHmSZaEJEm4desWfvzxR7z44otYsGABzp8/D7vdLuu+wJ3LlmvUqIGHH34Y1atXR0BAALRabZm/BL4sEwQBzZs3x7p16zB9+nRERUUpWk9gYCB69uyJ9evXY+TIkbLN+VVKy5Yt0bp161L/zAuCgHr16qFVq1YuquyfFWWO7p8FBwcXKbi1Wq1YtWoV1q5di8zMTNlHGGRkZCA/P1/WPYiIiIiIiDwJZ9wSuVBBQQFWrVqFZs2ayXIKus1mw5YtW/DVV19h7969SElJKXYoUxrBwcHo27cvWrVqBaPRyMDWg0RERODll19Gy5Yt8f333+Obb76BxWJx2/5qtRpt27bFmDFj0LFjR4SFhbltb3eKjIzEm2++iRkzZmDPnj0lev6pVCo0b94cs2fPluVgr/9VkkO9ihLCSpKEhIQEvPzyy9i/fz9GjRqFJk2ayDLz1uFw4IsvvkBBQYHL1yYiIiIiIvJUDG6JXEiSJHz33Xfo2bMnHnnkEZcGm2azGZMnT8bPP/+MtLQ0t8+VValUaNasGbp06QKTycTQ1gOp1Wp069YNcXFxGDRoEGbPno1Dhw7BZrPJ0g2p0Wjg4+ODDh06YNKkSYiNjXXbzFOlqFQqtGzZEl9++SX27duHt99+GxcvXoTFYil8Tv7d11oQBOh0OtSoUQOjR49Gly5dEBMTU6SvVWm/nkUZx/BnWVlZRZ6pK4oiEhMT8fnnn2PLli0YOHAgZsyYAZPJVJJS/9bdQ+FWr17Ng8mIiIiIiKhcYXBL5GLp6el44YUXEB4ejgYNGrgkxEpMTMS4ceOwZcsWt3bY/plOp0OTJk0QHR3t1cGcNwgMDESnTp3Qvn17nD17FgsWLMC5c+eQlZWF27dvo6CgAE6nE5Ik/WsQJggCVCoVtFot/Pz8EBgYCKPRiNDQUAwcOBC9evWCyWSSpcvSU6lUKkRFRaFfv3544okn4HQ64XA47vlfp9NZGOSq1WrodDoYDIbCudDFfQ6V5jlXnIPhJEnCjh07in0Yms1mw7Vr1/DGG29g//79WLJkCerVq1fq+deSJOHkyZN44YUXZB9DQ0RERERE5GkY3BLJ4Pjx41iwYAHeeustRERElGqtrKwsvPnmm/jll18UC22BO8FtaGio180s9WYajQYNGzbEV199hYKCAly8eBEHDx5EUlIS8vPz4XA4/tIlevd/BUGAIAiFoaPJZEKNGjXQuHFjVK5cGQaDgQE+7oSyd79Gcrn7vSjpfX18fIp8e4fDgfXr15doL+DOPN2dO3di+vTpeP/991GtWrUSrwUASUlJWLBgAU6cOFGqdYiIiIiIiMoiBrdEMnA6ndi8eTP69euHnj17lqrr7NSpU/j+++9hs9lcWGHxiaJY7C488gyCIMDX1xeNGzdG48aNCz9flMvOGc4q727Xc0loNJpihcpXrlzB9evXS7TXXaIoYvv27diwYQMmTpxY4nnfoijiwIEDil5pQEREREREpKTSXcNIRP8oOzsb+/fvh91uL/EaDoej8BAypVmtVqSmprp9ti7J524n5/0+SHmCICAkJKRE9w0MDCzy4WSSJOGTTz5Bfn5+ifb6M5vNhm+//bZUB+TZbDYcOHAA2dnZpa6HiIiIiIioLGJwSyQTSZKQnp5eqqDTbrfjxIkTHnEgj8PhQEJCAsxms9KlEJUrgiCgb9++JQrS4+LiEBAQUKTbpqenY+/evS7rbk1NTS1Vl74oikhPT/eI1z8iIiIiIiIlcFQCkUwEQUB0dHSJLxMG7hyCFBoa6sKqSk6SJFy5cgU3b95EcHCw0uUQlSsDBw7E0qVLkZiYWOT7+Pn5oVOnTvD39//X20qShAMHDuDGjRulKfMetWvXLtXrn0ajKTwMkeEtEZVL6wAUfUx52TMkWukKZFbyq07Kjg1KFyAvX6ULcAPpitIVyEv5C1flk6N0AeQu7LglkolGo0FsbGypggutVos2bdrAYDC4sLKSS0tLQ2ZmptJlEJU7lSpVwssvv4ywsLAi3V6n0+GRRx5B586dizTj1m6348yZM8jKyiplpXfo9XoMGjSoWAej/S+NRoO6detCrVa7pCYiIiIiIqKyhh23RDKpVq0aqlWrVqo5oSqVCg888AA6d+6MH3/8UfGuM5PJBF/f8vDWM5Fn0Wg0GDp0KBo1aoT3338fu3btQn5+PkRRhCRJhQeYabVaREREYNCgQXjyyScRGRlZpPUdDkep5tH+mUqlwuOPP45HH320VKGrSqVC9erVUa1aNVy8eNEltREREREREZUlDG6JZKDVatGnTx/ExsaWeq2oqCiMHDkSx44dK9Zl0q5297LrmjVrKlYDUXmm1+vRsmVLrFy5Ek6nExaLBXa7HaIoQq1WQ61WQ6PRQKvVQq1WF+tNI61Wi6ZNm6JKlSo4e/Zsqd4kqlu3LsaNG4fw8PASr3FXvXr10Lt3b7z99tulOuiRiIiIiIioLOKoBCIZ1K5dG7169XLJiANBENC1a1eMHTu2yKfDu5IgCAgMDMSYMWMwZswYmEwmt9dARP+fIAjQaDQwGo0ICgpCSEgIAgMD4e/vDx8fH2g0mmJ3+mu1WrRt2xZTpkxBdHTJZw76+/tj2rRpePDBB0u8xp/5+Pigd+/eqFWrlkvWIyIiIiIiKksY3BK5WFBQEKZPn47mzZu7bE2dTodx48ahTp06LlvzfwmCALVaDZ1OB4PBgICAANSpUweTJ0/GN998g5dffhm1atUq1egHIvJcAQEBGDRoEJYsWVLioLRHjx7o378/VCrX/fOiRYsWmD59OgIDA122JhERERERUVnAUQlEJaBSqaDT6e45eMxgMCAqKgovvvgievXqVapDyf5OSEgI3nzzTXTt2hVOp9MlawqCgICAADRq1AgDBw5E69atERQUVPjYtFotDAYDtFotA1uicsBgMKBHjx5Qq9X473//iytXin7SsMFgwCuvvOLyKwM0Gg369+8PvV6P+fPn48aNG/fM43U4HLDZbBBF0aX7EhERERERKY3BLVExqVQqVK5cGe3atUONGjUKO1SrVq2Kpk2bIjIy0qXdZn9Wv359BAYGIiMjwyXrhYaG4rnnnsPIkSMRHBzMcJaIoFar8cgjj6B///5YvHgxrFZrke5Xo0YNhIWFyVKTTqfDE088gbi4OBw9ehRXr16FxWKB1WpFfHw8du7ciRs3bjC8JSIiIiIir8LglqiY1Go1WrdujWeffRbVqlWDXq8vPBhI7uBTq9XC39/fJcGtSqVCq1atMGTIEISEhLigOiLyFnq9Hq1bt0ZwcDCSk5OLdJ/g4GCo1WrZalKr1YiKikKlSpXgdDrhdDphtVpx5coVWK1WrFu3jsEtERERERF5FQa3RCVQqVIlVK1aFf7+/m7tUrVYLDCbzS5ZS6PRoFGjRqhYsaJL1iMi7+Lv71+skS8JCQlF7s4tjbuHs2k0Guh0OlStWhWVKlXiFQNEREREROR1eDgZUTE5nU5kZWW5fe6r0+nETz/9hKysLJesp9FoEBMTI2uHHBGVTU6nE4cOHcLt27eLfJ8bN25g165dbu16FQQBWq0Wt2/fdtnsbyIiIiIiIk/B4JaomCRJws2bN926p8ViwebNm/Haa6+5NBRx9QFqROQdLly4gE2bNiEvL6/I93E4HJg2bRp27twJu90uY3V/lZKSAkmS3LonERERERGR3BjcEhWTJEmwWCyyHUD2Z6IoIj4+HgsWLMDkyZOLPGuyKCRJQn5+vsvWIyLvcOPGDbz00kvYt29fscPQa9euYcKECVi6dKnbwlRBEJCfn8/gloiIiIiIvA7b7YhKQKfTyTpiQBRFpKSk4NNPP8Xq1atx9epVl4esDG6J6H/dunULQ4cOxe7du+FwOIp9f1EUcfbsWcyaNQtff/01nnnmGfTq1Qsmk0m20TJ3Z90SERERERF5G3bcEhWTSqVCnTp1ZBsz4HQ6ceDAAQwePBhz587FmTNnZAtYOd+WiIA7b+RcvnwZAwYMwM6dO0sU2v5ZdnY2Dh48iPHjx2PChAmIj4+XrSNWo9Ggbt26PJyMiIiIiIi8DoNbomLSarXo06ePbCFBbm4u1q1bhz/++AM2m02WPYA7YUelSpVkW5+Iyo7s7Gx88MEH+OOPP1w6RzsvLw+bNm3C5s2bYbVaXbbunwmCgD59+kCr1cqyPhERERERkVIY3BIVU+XKldGkSRPZ1i8oKMD169dlCznuMhgMqFmzpqx7EJHnkyQJ58+fx++//w6LxeLy9XNycpCQkCDrgWVNmzZFdHS0bOsTEREREREpgcEtUTGoVCo8/fTTMBqNsu2h0WhgMBhkW/+uwMBAhIeHy74PEXk2h8OB+Ph43LhxQ5b1RVGEVquVdZSB0WjE2LFj3XJoJBERERERkbvwNxyiYggLC0OHDh1kDQf8/PxkH2EgCAKqV6/uloCYiDyXJEmwWCxIT0936YiEP1OpVAgJCZH19UatVqN9+/YIDQ2VbQ8iIiIiIiJ3Y3BLVAxVqlRBUFCQrHvo9XqEhobKdvgZcCfkCA8Ph91ul+3AICLyTJIkQRRFOBwOWK1WZGdnw+l0ws/PT5auWJ1Oh6CgINkPQwwODkZMTIysexAREREREbmTfMkQkReyWCzIy8uTdY+73Wm+vr7Izs6WZQ+1Wg2z2YwrV65Ar9fD19dX9lCFiJRltVqRmJiIS5cuoaCgAP7+/jCZTIWzZ4ODg5GcnAyHw+HSfQMDAxEaGirrqAQAyM/PR0FBgax7EBERERERuRODW6JiuHTpEtauXYvIyEgEBgbKNjIhOjoaFStWlC24FUURx44dw5tvvol69eqhevXqqFWrFqKjoxEcHAy9Xi/LvkTkfpIk4dSpU1iwYAH27t1b+OaTv78/YmJiUL9+fWg0GhiNRuj1epcHtxEREahSpYpL1/wzURSRlZWF77//HvHx8bLtQ0RERERE5G4MbomKIS8vD2+88QbOnTuHQYMGoX79+qhcuTK0Wq1L96lSpQrCw8NlCyEcDgcSExORlJSEjRs3QhAE6PV6VKtWDUOGDMGgQYN4cBmRlzh27BieeuopXLhw4Z7RKBkZGUhMTMTp06cRFhaGgoICWebchoaGIiIiwuXr2u12JCYm4tSpU/j666/x448/suOWiIiIiIi8CoNbomLKz8/H6tWrsWXLFjRv3hxt27bF448/jtjYWJd14FasWBERERFQqVSyBCmSJMHpdMLpdBZ+zmq14sSJE7hy5Qpu3LiBOXPmwGg0unxvInKfzMxMzJ49+y+h7V1OpxMZGRnIzs6GSqUqHJvgKnfnafv7+7tsTVEUcfbsWaxduxa7d+/GoUOHkJOTw3ndRKS4a9eu4bXXXsNvv/2GlJQUREZGYvDgwXjxxReh0+mULo+IiIjKIAa3RCUgSRKys7Oxfft27N69G5s2bcJ///tf9OvXzyWHivn4+CAuLg5btmxBTk6OCyouGkmSYDabsXz5cjz44IPo06dPkcPouwGzIAiyz7IkKo9EUYTdbocoitBoNNBoNPd9romiiI0bN2LPnj33DTUlSXJ5YHtXQEAA2rdv77LxKw6HA99++y3ee+89HD9+HDabzSXrEhG5wvnz5yGKIj766CPUqFEDp0+fxpgxY5CXl4dFixYpXR4RERGVQQxuiUrJZrPh0KFDmDZtGkwmE7p161bqzlu1Wo3Bgwfj8OHD+Omnn5Cbm3tPd6zcsrOz8cEHH+Chhx5CaGjo394mPz8fGRkZOHv2LLZs2YKrV6+iYsWK6N69Ozp27AiTyeS2eom8XXp6Oj777DN8++23yMzMhEajQb169TB8+HC0bNkSoaGh93RzSZKEmzdvYuPGjcjKynJrrYIgQK1Ww2QyYeDAgejdu7dL3swRRRGbNm3C9OnTcfPmTRdUSkTkWl26dEGXLl0K/1ytWjVcuHABy5YtY3BLREREJcLglsgFJElCUlISli5digcffBBBQUGlXrNChQp477330KFDB+zatQspKSlISUlBQkICzGazLCMU7pIkCWfPnsW2bdvwxBNPwGAwALhzWXVaWhqOHz+OLVu24JtvvkFGRsY93bbfffcdXnzxRTz77LO8LJDIBaxWK+bOnYsPPvjgns7YK1eu4KeffkJUVBQmTpyI1q1bo1atWvD390d+fj62bduGI0eOyPpacZdKpUJgYCBiYmIQFhaGqKgodOrUCd26dXPZyJWsrCx8+OGHDG2JqEzJzs5GcHCw0mUQERFRGSVIHApH5YQ7Lt/38/PD8ePHUaNGDZetKYoirFYrcnJykJiYiEOHDuH777/H7t27Zb1MWK/Xo1u3bpg8eTJiYmKQlpaGvXv3Yvfu3fjtt9+QmZn5j/etVq0aNmzYgPr168tWH1F5cfjwYfTq1eu+gaVarUZMTAzi4uJQt25dSJKEbdu2Yf/+/bBarbLWp9fr0b59e/Tt2xctW7ZEVFQU/Pz8oNPpXPq6e/HiRTRt2hR5eXkuW/Of8J9GROQK8fHxaNasGRYtWoQxY8b84+2sVus9r9VmsxmVK1dG9keAyccdlSpkSLTSFcjMonQBbpCrdAHySs9XugL5hShdgMxSlC5APuYcIKD2nTcIebWrd2PHLZELWSwWl4cKKpUKPj4+8PHxQWhoKBo2bIjmzZtjwoQJOHjwoGwBg81mw549e2A2m+Hn54fr16/j2rVrMJvN/7pncnIyfvjhB9SrV4/zbolKQZIkbNiwARkZGfe9ndPpxOXLl3Ht2jUYjUbo9Xrk5ubKPgNWEAQ0adIE8+fPR/369aHVamXbKy8vDxZLefglmIg8zYwZM7Bw4cL73ubcuXOoU6dO4Z+TkpLQpUsXPPnkk/cNbQFg/vz5mD17tktqJSIiIu/C4JbIhbRabeFYATn3aNy4Mbp27Ypjx47JFsxIkoSMjAzs2rULoigWa8auxWLBgQMHcPv2bV4eSFQKOTk5xTqEy+l0Ijs7W+aq/j+tVovu3bujQYMGLjmY8X4MBgO0Wq1b530TEQHAc889h+HDh9/3NtWqVSv8/zdv3kSHDh0QFxeHjz/++F/XnzlzJqZMmVL457sdt0REREQMbolcKDY21iXzbf+NWq1GdHR0qQ9B+zeiKJZoPqYkSTh+/Dh27tyJXr16yV4nkTeSJAkHDhzAuXPnPPbSfbVajSpVqkCtVsu+V3BwMOrUqYPjx4/LvhcR0Z9VrFgRFStWLNJtk5KS0KFDBzRr1gzLly8v0r+B9Ho99Hp9acskIiIiL8Q0hchFNBoN+vfvj8DAQNn3unsYmid3nt28eROff/45Ll++/JfQ6e7c3tzcXFitVo8NpYjkZLfbkZ+f/4/PgeTkZHz55Ze4fv26AtUVjdPpRFJSkluew4GBgejfv7/snb1ERCWVlJSE9u3bIzo6GosWLUJaWlrh4bJEREREJcHffohcpF69enj44Yeh0+lk3ys/Px9Hjx716OBWFEX88ssvGD16NKZPn47GjRtDq9UiLy8P169fx/Xr16HVatGiRQtUrVrVLR17pWG325Gbmwu73Q6j0QgfHx/O76USE0URKSkpOHz4MAoKChATE4OYmBj4+flBkiRcv34dCxcuxE8//QSHw6F0uf/I4XDgyJEjyM/Ph9FolHUvvV6Phx9+GN9++y1OnDgh615ERCXxyy+/ID4+HvHx8YiKirrn7/gmNREREZUEg1siFzAYDOjRowfq168v+16SJOH06dM4d+5cicYYuJPVasXu3btx8OBB+Pv7Q6/XQxRFOBwOaDQaVK1aFVOnTkVMTIzSpf4tURSRlZWF+Ph4/Pjjj/j9998hSRLatWuHESNGoEaNGgxvFSZJEiRJgiAIZep7IUkS4uPj8cEHH+DChQtwOp3w8fGBwWCA1WpFeno6cnJyPP45Looizp49i7Nnz6Jly5ay79ewYUN069YN58+fv+cEdiIiTzB8+PB/nYVLREREVBwMbolcoFKlSnj44YfdMp/M4XDgwIEDSE5Oln0vV5AkCRaL5S+nwavVajidTuTk5CgeuN0N/yRJgt1uL+wKPnHiBPbu3YstW7YgJSWlMEQ7evQozp8/j9dffx1169ZVvP7yymw24+zZs0hNTUVYWBhq1aqFwMDA+84TFEURkiRBpVIp+n0TBAF5eXm4dOkSkpOTC+sqi27evImDBw+iadOmso8x0Ov16NSpE7777jtcuXJF1r2IiIiIiIiUxuCWqJQEQUBERATq1Knjlv3sdjtSU1PLfLeZ0+lEfn4+dDqdooeX3Q1rMzMzceLEicLDoC5duoRLly4hNzf3L12PFosFP//8M/R6PebMmYOaNWsqVH35ZTab8cUXX2DVqlVISUlBUFAQ6tevj86dO6N79+4ICgoqDGYlSYLVaoXZbEZeXh6MRiOCgoKg1WoVq18QBGi1WuTm5nr0yJOisFgsSE1Nhc1mc8v82Tp16iAiIoLBLREREREReT0Gt0QuoFKp3NYtp1arUbFiRfj6+v6li7WssdlsSpcA4M7M4F9++QVLlizBxYsXkZ+f/69hmtVqxQ8//ABBEDB37lxUrVrVTdWSw+HAxo0bMW/ePKSmpkIURSQkJOD06dP4+eef8fbbb6Nly5Zo1qwZTCYTMjMzcf36ddy6dQtGoxFdu3ZF27ZtFQ9u7wbKZZ2fnx8qVKjgtjnVoigWjsYoq13KRERERERERcHglqiUJEnCtWvXsHfvXvTq1Uv2w8l0Oh169uyJkydP4ocffkB2dnaZDS8cDgdu3LihaA13uzKPHDmCs2fPoqCgoMj3tVgs+O6775CWlobFixejXr16inYPlweSJGHPnj149tlnkZ6efs/fOZ1O3L59G7dv38aJEyfw2Wef3TMSQa1WIyQkBGFhYWjTpo0S5ReSJAk3btwo08GtIAgICAhAz5490aNHD7cczGiz2bBv3z5cv369zL7uERERERERFRUTBiIXSEpKwvvvv48dO3bIHsQIgoCqVavitddew8yZM9GqVSu3zNaVg9PpxK+//gq73a5oHXq9Hg6Ho0R1iKKI7du3Y/z48di3b1+Zv+zd0x07duxvQ9v/JUkSnE4n7HY7bDYbbDYbLBYLMjIycOvWLcUDdrvdji1btsDhcChaR0kZDAa0bt0aL7zwAubMmYOqVavKPjPYarXit99+w3vvvYebN2/KuhcREREREZEnYHBL5AJOpxP79u3DlClTMG/ePKSkpMjaDaZSqRAVFYX//ve/WLZsGaZMmYLw8HDZ9pPTwYMHcfLkyRLd9+6BYqWl0+ng7+9f4vtLkoT9+/djwYIFuHDhAjsBZXL16lXMnz8fp0+fLtH9784zzsnJccll/ZIk/WX+cVGdOHECO3fuLHUN7iYIAiIjI/H8889j2bJlmDRpEqKiomQNwiVJQkpKCubOnYvnnnsO+/fv5xskRERERERULnBUApGLOBwOnDlzBpcvX8a6deswduxYDBgwABUqVJCtE02v16Nx48aoUaMG2rdvjylTpuDixYv3dI6qVCoYDAb4+/tDrVYjLy/Pow5EyszMxEsvvYRPP/0UlSpV+tevldPpRFpaGnbu3Ilff/0Vfn5+6NWrF1q0aAGj0ViiGgRBgI+PT6kCV4fDgX379mHHjh2oUaOGWy4bL09u376NZcuWYdOmTaXqUhVFEbdv3y5VLfn5+di/fz9WrVqF1NRUPPTQQ+jbty9iYmL+dW6uJElISEjA9OnTkZGRUao6XEmtVsPf3x9GoxEOhwM5OTmwWCz3vE7odDrExsZi8eLFaNWqFXx9fWWtSZIkpKWl4dtvv8XHH3+My5cvl/m53kRERERERMXBjlsiF7NYLDh9+jSeffZZdOvWDVu3bpV9fILRaESnTp3w+eefo1OnTggJCYGvry9CQ0PRoUMHzJs3D7/++iv279+P1atXY+DAgTCZTLLWVFSSJOHXX3/FxIkTcejQofuOK8jOzsZ3332HDh064KmnnsKnn36KJUuWoEePHpgxYwZSUlJKXEdmZmapO2UtFgsyMzM9JhT3Fk6nE1u2bMFnn31WrBnEf0cURSQlJZU4NM3KysLrr7+O3r17Y8WKFdi8eTNefPFFtGnTBh9++CFSU1P/8efIYrHgt99+w+jRo7Fz506P6cwOCAjA4MGDsXbtWvzxxx/47bff8MYbb+CRRx5BREQEjEYjQkND0b17d3z++edo37697KGt1WrF5s2b0b17d0yZMgVnzpxhaEtEREREROUOO26JZOJ0OnH48GEMGzYMr776KoYMGVLijtCiUKlUaNSoEZ577jl8+eWXSEpKQsuWLfHEE0+gbt260Ov1EAQBUVFReOCBB9CgQQO88cYbHtH153Q6sWHDBly5cgUDBgzAE088gapVq0KjufMS5XA4cPbsWXz55Zf46KOPkJOTc8/98/Pz8fHHH0On02HBggXF7nbNy8vD+fPnSx2kmUymInVdUvHk5+fjxx9/RHZ2tkvWu3btGrZv347BgwcXa2SCKIpYvnw5lixZgvz8/MLPS5KEW7duYdq0aTh27Bj+85//oEmTJoU/BzabDWfOnMG6devw5Zdf4vr16y55HK5QoUIFzJgxA2PHjoXRaCzseK9WrRoeeugh/PDDDzh06BCioqIwaNAg1KtXT/ZZtrm5ufjiiy8wa9asf51lTERERERE5M0Y3BLJ7NatW5gzZw58fHwwePDgwjBSDjqdDk2bNgUAZGRkoFmzZqhSpco9ewqCAJPJhEmTJsHf3x+vvvoqbt26JVtNRSVJEk6ePImLFy9i3bp1aNCgAVq0aIHAwECcPHkSv/32G06ePPmPXXd2ux2ff/45OnbsiO7duxc5XBJFEdu2bcOpU6dKFdwKgoDGjRujTZs2sn6PXeXP84EFQZA9jCsNSZJgs9lc1qGamZmJTz/9FI0bN0ajRo2KfL/z589j8eLF94S2f2axWPDVV1/h5MmT6Nq1Kxo1aoT09HTs378fR44cwYULFxQ/iO/PwsLCMGfOHAwbNuwvBxzq9XrUrVsXJpMJjRs3RlBQEBo2bCj7CBCHw4HVq1djzpw5DG2JiIiIiKjcEyRPuVaTSGZKB1ONGzfGqlWrUL9+fVn3cTgcyM7OhtPpRFBQ0H27P202G7744gvMnj0bN27ckLWu4lKr1dDpdFCr1bDZbLDb7f8a3AmCgI4dO+LLL7+872FtkiQVfp127NiBV199FWfPni1VMBgcHIz33nsPAwYMkPWgptKw2WxISkrCpk2b8O233yIpKQkAUKlSJQwYMAA9evRAZGSkx83ndTgcWLlyJZ577jmXdd2q1Wo0adIES5YsQf369WE0Gu/7fbt9+zbGjBmD9evX/+uBZIIgQK/XQ6fTweFwwGq1etz4jKioKMyePRuDBw++7/fbbrfDbDYXzsB1xaFu93Pq1CkMHToUx48fl3Wff8N/GhGRksxmMwICApD9EWDyUboaGQ2JVroCmZWHET+5Shcgr/S/f7Peq4QoXYDMSj5Jz+OZc4CA2nfGCXrKGESSh+e3hRF5ifPnzyM+Pl72S401Gg0CAgIK///96HQ6jBgxAgaDAa+99houXbrkMYGF0+ks9jxTSZJw9OhRrFixAmPHjkVgYCAEQYAoirBarUhNTcX169eRkZGB69evY/369Th8+LBLZmc2atQIPXv29NjQ9urVq/j+++8xb948ZGVl3fN3165dw969e/Hyyy/jpZdewuOPP46qVasqU+jf0Gg06NSpEzp27Igff/yxVIeT3XV3lMkjjzyCrl27FobWVapUQWRkJHx8fAp/dtLT0/HFF19gx44d/xraAnd+Di0Wi0fOZFWpVKhZsyZeeeUV9O/f/1+DWK1Wi8DAQACQPbSVJAmXLl3C+fPnZd2HiIiIiIiorGBwS+QmTqcT+fn5kCRJ9u7f4lyqr1arMXDgQPj5+WHOnDk4deqUx3UHFkd2djZWrlwJm82Ghg0boqCgANevX0dSUhIuXLiAU6dOITMzs0gdvEWlUqnQs2dP+Pn5uWQ9Vzt37hxmzpyJLVu23PegvKysLLz44ovYs2cPFixYgNq1a7uxyvurVKkS+vXrh0OHDrm0Ozw/Px9r167F+vXrYTKZUK9ePdStWxchISEwmUxQqVS4ePEitm/fjszMTJftqwS1Wo1GjRrh5ZdfxmOPPVbkIFbuwPYuSZKQn59fpl9/iIiIiIiIXInBLZUbOp0OoijC6XQq0lVqMpkQERGh+MiGv6NWq9G1a1eYzWbMmTMHV69e9ZjO2+ISRRGXLl3CO++8A39/f1itVuTk5MBisRSpW7IkBEFA7dq1PfJ7m5mZiRkzZuDnn38uUqeq1WrFTz/9BEmSsGLFisJuS6VpNBq0aNECtWvXRlJSkst/PkVRRFZWFvbu3Yu9e/cWjupQqVSw2+0uDfqVIAgCYmJiMHnyZHTp0sVtYWxxCIKAiIgImEwmRQ5NFAQBarXaY7vmiYiIiIio/OFvJ1RuJCcn4/r16/j555/Ro0cPREREuO0XdI1GgyeffBINGzb0yHAPuHMYUcuWLVG3bl2PDHWKw+l04vbt20hISEBqairy8/NlC22BO6FfaQ83k8u3336LTZs2FWu8gMPhwE8//YRvv/1WxsqKz2QyFY6/kNvdUR15eXkuPRhNKRqNBrGxsWjRosVfDiLzFHcP+Hv88cfddsCfSqVCREQEHnvsMfz888+4fv06kpOT3bI3ERERERHRv2FwS+VGcHAwIiMj0aVLF2zYsAEbN27EY489Bn9/f1n3vRtGjBgxAiEhnj39PScnB7dv3y7zIZW7SZKEb775BomJiUqXco/bt29j7ty5Jbr03Ol0Yu7cuX+Zh6sUSZKQmJiIGzdu8OezBERRRGZmJnJzPfsQkZCQEIwcORKNGjWSPaD39/dHz5498eOPP+KHH35Aly5dEBkZieDgYFn3JSIiIiIiKioGt1QuqVQqNG/eHO+//z7GjRsHHx/5juwNDg7GSy+9hObNm8u2hytYLBbs3LkTZ8+e5YzJEjh//jwWLVqElBTPObp069atuH37donvn5mZia1bt7qwopJLSkrCp59+ijNnzjC4LQGn04mzZ89i586d951z7AlatmyJl156SdYxHb6+vhg/fjzee+89NGvWjOMRiIiIiIjII/E3FSrXoqKiMHPmTDz22GOy7fHUU0+hW7duHh8MJCYm4vPPP0d2drbSpZRJFosFy5cvx9NPP+0x4fe2bdtKFdJZrVZs377dhRUVjyRJsFqt2LdvH4YOHYpVq1Z5fMeoJ8vKysLnn3/ucZ3h/0ulUqF79+4YNGiQbHv07NkTM2bMQFRUlGx7EBERERERlZZnJ0lEbhAYGIglS5YgOjra5Wv7+PjgmWeegVardfnariSKIr7++mtcunSJ3YylkJubi40bN6Jly5YYM2YMDh8+jIyMDEW+ppIkITMzs1R7i6KI9PR0RepPSUnB2rVr0alTJ3Tq1Ak7duxgaFtKkiThwoUL+Oabb2Sd+ewKWq0WzzzzjCxXQ1SpUgVLlizxmIP3iIiIiIiI/gmDWyIAFSpUwHPPPefyrlh/f38EBAS4dE055Ofn44cffvCILtGyTpIk5OXlYfny5Wjfvj2eeeYZrFu3Djabze216HQ6j1ijOERRxO+//44xY8Zg4MCB2LNnDwoKCviGgos4nU6sX78eFotF6VL+VWBgoMtnkKtUKjz//PMeP2+ciIiIiIgIANxzbDORh9NoNGjcuDGCgoKQkZHhsnWtVivy8/Ndtp5crFYrMjMzlS7D6+Tl5eG7777Djh07EB8fj2effdZtQaggCKhRowbUajUcDkeJ1tBoNKhZs6bsh0T92Y4dOzBlyhScPHmSYa1MMjMzYbFY4Ovrq3Qp95WXl+fygDk4OBiNGzeGWq126bpERERERERyYMct0f+JjIxE3bp1XbpmTk4OvvnmG4/vZNXr9TxJXUapqalYsmQJ1q1b59YwcsCAAaW61NzX1xf9+vVzYUX3Zzab8fXXX+P06dMMbWUUHBwMg8GgdBn35XQ68c0337h8PEZsbCwiIyNduiYREREREZFcGNwS/R+TyYRKlSq5dE1RFLFkyRL88ssvsNvtLl3blfz8/DBp0iQEBQUpXYrXSk1NxY4dO9x6iXq9evXQtGnTEt+/adOmiI2NdWFF93fx4kUcOHDA49/oKMuCg4MxadIkWWbHuorNZsPWrVvx7rvvunwWb2RkpMvHLxAREREREcmFoxKI/o/NZkNBQYHL101LS8Pzzz+P+fPno3PnztDr9S7fo7QEQcCTTz6JzMxMfPbZZ7h48aLHH15U1oiiiNzcXFitVreFZmq1GvPmzUOfPn1w69atYt03NDQU8+bNc+sl5RaLRZbnIN35WahZsyZGjx6Nvn37unX8RXFYrVZs3boVM2fORHp6usvXLygoKPHoECIit2sCwKh0ETL6MUHpCuT1WFelK5Dfwc1KVyCvlnFKVyC/gn1KVyCvA0oXICPPn8hILsKOW6L/k5GRgYsXL7p8XUmScPbsWbzwwgvYuXOnxwai/v7+eOaZZ/DZZ59hwoQJ8PPzU7okryIIAoxGo9svUW/WrBmef/75YnUZ+vv7Y9q0aWjSpImMlf1VeHg4oqKi3LpneWA0GjFhwgR89tlnGD9+vMd2nDqdTvz+++944YUXcO7cOVn2uHTpkiyBMBERERERkRwY3BL9n8TERFy9elWWtSVJwpkzZzBz5kzcvHlTlj1cwcfHB3FxcZg7dy7Wr1+P2NhYqFR8mXAFo9GIunXrur3jWq/X45lnnsGsWbMQHh5+305LQRAQERGB2bNnY9y4cW6vNTo6Gg0aNODBUS6iUqlQr149/PDDD3j99dcRFxfn0SMSbt68iZkzZ+Ls2bOyzTi+fPkykpKSZFmbiIiIiIjI1ZjIEAHIzc3Fd999B6vVKtsed8PbY8eOefzBS0ajEZ06dcJHH32Ehg0beuxl1WVJbGwsBg4cqMjX0tfXF1OmTMHWrVvRs2dPxMbGwmQyQavVQqvVwmQyITY2Fr169cLWrVsxefJk+Pr6ur1OnU6HPn36uHzWdHkkCAIaNmyITz75BB07doTR6NnX2kqShKNHj+LcuXOyvj5arVZ88803yM/ntWVEREREROT5OOOWCMD69euxevVq2feRJAmCIJSJIFQQBLRq1Qq9e/fGhQsXOHu0FDQaDQYMGICKFSsqVsPdIG/16tU4d+4cDhw4UHjJeIUKFdCqVSvExsZCq9UqViMAtGnTBq1bt0ZiYqLHv8HhyXx8fPD444+jefPmZeL1BrjTIeyO7/m3336LRx99FIMGDZJ9LyIiIiIiotJgcEvl3q+//orZs2fDZrPJvldgYCDq168v+z6uotVq0ahRIxiNRga3peDv74/+/ft7RICm0+nQqFEjNGrUSOlS/pZOp8OwYcOwfv16tzwnvZW/vz8aNmyoeBBfVIIgoH79+ggICEBaWpqse9lsNsyaNQthYWF4+OGHZd2LiIiIiIioNDgqgcqt/Px8fPPNNxg3bhyuXLki+34ajQYjR45EZGSk7Hu5ksPhYOdjKYWFhSE4OFjpMsqMxo0bu32+rrcRRREOh0PpMoolMjISI0eOhEYj/3vKly9fxtNPP41vv/2WYxOIiIiIiMhjMbilcsNutyM3NxdXrlzB1q1b8fzzz2PkyJGIj4+XPZhUq9WIi4vD8OHDodPpZN3LlZxOJ44ePYqcnBylSynTHA4HnE6n0mWUGRaLhW8WlJLZbMbx48chiqLSpRSZXq/H8OHD8cADD8h+KKIkSYiPj8eIESMwffp0bNu2DVevXkV+fj7sdrusexMRERERERUVRyVQuTF9+nRYLBZcvHgRhw4dgtlsdsu+KpUKTZo0wezZs1GzZk237OkqSUlJOHr0qKyHtpUHaWlpOHfuHJo1a6Z0KR5PFEVs3ryZP3OlZLVaceTIESQlJaFy5cpKl1NkNWvWxJw5czB16lQcO3ZM9uDZYrHg/fffx6pVq9C8eXPUqlULBoMBixcvlnVfIiIiIiKiohAktjVROaHEfFGVSoUHHngAS5YsQZMmTaBWq91eQ0mJooivv/4azzzzjNtCbm+lUqnw+OOP48MPP0RISIjS5Xi048ePY8SIETh+/LjSpZR5AQEBWLp0KQYMGCB7B6srORwOHDt2DJMmTcLBgwcV6RrmP42ISElmsxkBAQHIPgiYjEpXI6N4pQuQ2WNdla5Afgc3K12BvFrGKV2B/Ar2KV2BvLYqXYB8zPlAwFNAdnY2TCaT0uWQjMrOb3JEZYhKpUKFChUwbtw4fP/992jWrFmZCm0B4OrVq1i0aBFDWxcQRREbN27E+PHjcfLkSR669TcsFgt+++03TJgwASdPnlS6HK+QnZ2NN998E9euXVO6lGLRaDRo3rw51qxZg//85z+oUKFCmQqeiYiIiIiIXIW/CRG5mEajQZMmTbBw4ULMmzcPERERinT7lobT6cTKlSsZoLmQzWbDmjVr0LNnTyxZsgR79uxBdnZ2ue7skyQJOTk52LNnDxYsWIB+/fph7969ZWouq6c7ceIEVq5cWeZmLAuCgKioKMyfPx8LFixAkyZN3HJoGRERERERkSfhqAQqN9wRnqrVarRt2xYvvfQS4uLiYDAYZN9TDgkJCWjVqhVSUlKULsUrqdVqVK1aFQ899BA6duyI7t27IzAwsMwF/KVhNpvxyy+/YOvWrfjtt99w9epVBrYyiYiIwIEDB8rUrNs/s1gs2LdvH1577TXs3r3bLSE0/2lEREriqAQvwVEJZR9HJZR9HJVAXoAdt0QuIggC6tevj9mzZ6Nt27ZlNrQFgM2bNyMzM1PpMryW0+lEfHw8Vq5cieeeew5PP/00zpw5U+a6IkvC6XTi4sWLGD9+PCZOnIjPP/8cly9fZmgro4yMDEEGKIEAACF/SURBVGzZskXpMkrMYDCgbdu2mD17NurVq1eu3uAgIiIiIqLyjcEtkYuYTCaMHDkSzZs3L9OX9IqiWG5CRKWJoohbt27hhx9+wOzZs3Ht2jWv7vQTRRFXrlzBCy+8gDVr1iA5OZk/Z27gdDpx5syZMh2O3517O3z4cHYUEBERERFRucHglsgFBEFAeHg46tatC51Op3Q5pSIIAipVqsTDgNzIbrfj/PnzSEhIKNPh2r8RRRGXLl3C6dOnYbfblS6n3FCr1ahUqVKZ71TV6/WIjY1FWFhYmX8sRERERERERcFkhshFBEGAw+Eo8x2TgiCgW7duCAsLU7qUcsVoNCIkJMSrA3OVSoWgoCAYDIYy/zwpS8LCwtC1a9cyH3ZKkgS73V7mHwcREREREVFReW9CQORGkiQhJSUFf/zxB3Jzc5Uup9Tq1q2LefPmoUKFCgxJ3ECj0aBRo0aoVq2aV3+9VSoV6tati9jYWKjVaqXL8XqCIKBChQqYN28e6tSpo3Q5pZabm4v9+/cjNTWVwT8REREREZULDG6JXCQ7OxvLly/H5s2bYbPZlC6nVDQaDQYMGIBVq1ahffv28Pf3V7okrxYYGIhhw4bBaPTmo6PvCAgIwLBhwzinVGYmkwkdO3bEl19+if79+5fpudsAYLPZ8NNPP2HFihXIzs5WuhwiIiIiIiK3KNu/yRF5EEmSkJSUhNdffx1hYWFo3759mb7sXavV4tFHH0WTJk3wzTffYP369di3bx8cDofSpXmd6tWro1GjRkqX4RaCICAuLg5VqlTB7du3lS7H62g0Gjz44IPo06cPBgwYgNDQ0DLfxe10OrF7927MnTsXN2/eZLctERERERGVG2U3VSLyQJIk4cKFC3j77bdx7do1pcspNUEQEBYWhkmTJmHZsmUYOXIkDAaD0mV5nSZNmpSrr6ufnx9atGihdBlex8fHB6NHj8ayZcswceJErznE6/r163j77bdx6dIlhrZERERERFSuMLglcrG73WE//fST13SnqlQqxMbG4vXXX0fv3r05n9SFBEFAYGCgVwRsRSUIAiIiIsrVY5abWq1G79698dprr6Fu3bplutv/zxwOBzZu3Ijdu3fD6XQqXQ4REREREZFbecdvdkQexmw249SpU15xUNmfVaxYEVOnTkVYWJjSpXgNSZJw+fLlchVKiaKIxMREdk+6UEREBKZOnYoKFSooXYpL5ebm4vTp08jJyVG6FCIiIiIiIrdjcEskA0mSkJeXB7vdrnQpLlevXj2Eh4crXYZXOXPmDNLT05Uuw23MZjNOnDihdBleJTw8HPXq1VO6DJez2WzIy8tjyE9EZUbPnj0RHR0Ng8GAiIgIDBkyBDdv3lS6LCIiIiqjGNwSyUAQBISEhMDHx0fpUlxOo9HA19dX6TK8SnJyMvbu3Vsuum5FUcTRo0eRmJiodClexdfX1ytHmPj6+iIoKIhjNYiozOjQoQNWr16NCxcuYO3atbh8+TL69u2rdFlERERURjG4JZKBn58fatasCT8/P6VLcTmr1Yrbt28rXYZXyc/Px44dO5CVlaV0KbLLzc3F9u3bkZeXp3QpXiUzMxNWq1XpMlzOz88PtWrV4ptFRFRmPPvss3jggQdQpUoVxMXFYcaMGdi/f79XXoVFRERE8mNwSySDRo0aoWfPnl7ZJbZnzx6kpqYqXYZXEQQBubm5yMrKgiiKSpcjG1EUkZ2dDbPZ7JXPDSWlpqZi3759SpfhcoIgoHfv3mjQoIHSpRARFVtmZia++uorxMXFQavV/uPtrFYrzGbzPR9EREREAINbIpfz8/PD6NGjUaVKFaVLcbmsrCx88cUX7Lh1IY1Gg9q1a6N9+/YICAhQuhzZ+fn5oU2bNqhXrx50Op3S5XiNzMxMfPHFF17ZtV2lShWMHTuWXbdEVGZMnz4dfn5+CAkJQUJCAjZs2HDf28+fPx8BAQGFH5UrV3ZTpUREROTpGNwSuZAgCBg4cCD69+/vdR2Foiji119/xfbt28vFLFa5CYKAChUqYPjw4Xj77bfRq1cvBAUFQaXy3pdllUqFgIAAdO3aFW+99Rb+85//IDIy0qsfs7s4nU78+uuv+O2337yua1sQBAwYMAADBw70utdVIiobZsyYAUEQ7vtx/vz5wttPnToVx44dw7Zt26BWqzF06ND7HrI4c+ZMZGdnF35wDjwRERHdJUg8qpnKCbl/4TcYDOjSpQuWLl2KiIgIWfdSwo0bNzBu3Dhs2rSJJ7yXkEqlgr+/PyIiIjBgwAAMGjQIlSpVgo+PT7kLpCRJgsViwa1bt7Bx40Z8/vnnSEhIQHZ2Nt8YKCFBENCjRw98+OGHiIyMVLocl7t58ybGjx+PrVu3wmKxyLoXX+OI6M/S0tKQkZFx39tUq1btb68kuXHjBipXrox9+/ahdevWRdrPbDYjICAA2QcBk7FEJZcN8UoXILPHuipdgfwObla6Anm1jFO6AvkVeN+orXtsVboA+ZjzgYCngOzsbJhMJqXLIRlplC6AqKxSqVTQaDTQ6/WIjo5Gt27dMH78eK8MbSVJwsmTJ7F7924GGiWgVqtRtWpVtGjRAn369EGXLl3g7++vdFmKEgQBPj4+qFKlCiZOnIjRo0dj9+7dWL16Nfbv348LFy7A4XAoXWaZIkkSdu3ahVOnTiEiIsLr3gyIjIzE22+/jaVLl2Lz5s1ISEiA1WqFw+Hwui5jIvIsFStWRMWKFUt037uvT954gCQRERHJj8EtUTEZDAbUqVMHTZo0QXR0NMLCwlC/fn00btzYa8M4URSRlJTEXzqKSaVSITIyEv3790fXrl3RqlUrGI3e3DpTcj4+PujcuTPatWuHo0eP4scff8Q333yDhIQEhnLFYLVakZSUBFEUoVarlS7H5apWrYqXX34Zjz32GM6cOYPU1FQkJCTg6NGjOH/+PF+jiEhRBw4cwKFDh9CmTRsEBQXh8uXLePnll1G9evUid9sSERER/RmDW6Ji8Pf3x7BhwzB8+HBER0fDz88POp0OarXa67rb/kylUqFq1aoIDQ1FYmIiu26LQKVSoX79+pg5cya6devGy1eKSK/Xo3Xr1mjQoAGaN2+O1157DSdPnmR4WwSCICAsLAxVq1b16rnBJpMJDz30EOLi4mCz2ZCXl4fr16/j888/x5dffomcnBylSySicsrX1xfr1q3DrFmzkJeXh4iICHTp0gUvvfQS9Hq90uURERFRGcTglqiI1Go1OnbsiP/+97+oVq2aVwcj/0sQBDzwwAN46aWXsHjxYsTHx/My9n9hMpkwZMgQ9OzZE76+vkqXU+YYjUZ069YN169fx5w5c5CVlaV0SR5No9GgRo0aeO6559CqVSuvfiMJuPOapNFooNFo4Ovri5CQEAQEBODGjRvYtGkTg34iUkSDBg3w22+/KV0GEREReZHykzwRlZJarUbDhg0RHh5erkLbu4xGI0aMGIHPP/8cI0aMQGhoqNIleTQfHx/ExMSww6YUdDodqlatCh8fH6VL8WihoaEYOXIkli9fjuHDh5fLNwpUKhXCw8NRv359aDR8T5qIiIiIiLwDf7shKqK74wHKY2h7l0ajKbyMvUOHDvj444+xa9euIne36XQ6+Pr6QqPRwGKxwGKxeG3nbm5uLuLj4+F0Or1y1qg7OJ1OxMfHIzc3V+lSZKPRaGAwGGAwGOBwOJCXlwe73V6k+6pUKrRr1w5jx45Fjx49yv38ZEEQoFKpOMqFiIiIiIi8BoNboiJyOBxISEhAQUFBuexo+zOj0Yh+/fqhRYsWmDx5MrZs2QKn0/mPtw8ICMDjjz+OIUOGICwsDGq1Gk6nE7m5uThw4ADeffddXL9+vciBVVmQl5eHnTt3ol+/fqhWrZrS5ZRJKSkp2LVrF/Ly8pQuxaW0Wi2qVq2KiRMnomXLljAajYXPidTUVHzxxRdYt24dzGbzP66hVqvRrVs3LF68GFWrVuWbAwAsFgsSEhK89s0gIiIiIiIqfxjcEhWRJEk4cuQI0tPTERISonQ5ilOr1ahRowa++OILDB48GNu2bftLeKtSqVCrVi28/fbbePjhh6HVav+yTosWLTBkyBB89tlnWLRoEVJSUtz1EGQliiL27duHPXv2ICYmplx3apeEKIrYvXs39uzZ41XzSsPDwzFt2jSMHDkSJpPpL7NoY2Nj0aZNGzz55JOYMmUKLl269JfHr1ar0blzZ6xcuRJBQUHuLN+jpaWl4ejRo+y4JSIiIiIir8EkgagYEhISkJaWpnQZHiU4OBgffPABOnbseE8wq9PpEBcXh48//hidO3f+29AWuHN5c2BgICZMmICpU6d61eXeOTk52L9/v1df6i+X/Px8HD16FNnZ2UqX4jL+/v6YPn06xo8fj4CAgH88QEyr1aJLly746KOPEBcXd89zR6vVomPHjli6dClD2/9x69YtJCYmKl0GERERERGRyzC4JSqGgoICZGRksKPrf1SpUgXz589H3759ER4ejvDwcDzxxBNYtGgRWrduXaRuU71ejxEjRqB27dpuqNg9JEnC0aNH73vJO/09s9mMo0ePelW3be3atTF8+PAiHVinUqnw4IMP4s0338QTTzyBsLAwhIeHo2/fvliwYAGio6PdUHHZIUkSMjMzUVBQoHQpRERERERELsNRCUTFIEkS5yf+DZVKhcaNG2Px4sWIj4+HSqVC9erVUbFixWKNCAgMDESvXr1w5MgRGat1L4vF4lXho7s4nU5YrValy3CpXr16ISAgoMi312g0aNmyJd555x1cvnwZoiiiRo0aCA0N5eiNv2G32/mmGhEREREReRUGt0TFoNVqixW8lCdqtbqw27akBEHAQw89BJVK5RVhp1qtRuvWrfkzUwKBgYFo1aoVDhw4cN+D78oKlUqFdu3a/eN4hPvdLywsDGFhYTJV5j0CAwOh1Wr55hoREREREXkNtuwQFUNISAhCQkKKHb5Q0VWqVAkaTdl/T0kQBNStWxf9+/eHyWRSupwyx2g04vHHH0eDBg284vmm0WgQGRmpdBleSxAEhISEIDg4WOlSiIiIiIiIXIbBLVERCYKA2rVrMxiQWWBgICpUqKB0GaVWvXp1LFy4EK1bt/aK4NHdBEFAq1at8MYbb3jF3OOKFSuy81pmwcHBqFWrFp9vRERERETkNRjcEhWRWq1GnTp14O/vr3QpXs1kMmHQoEFQq9X/eltBEKDVauHn5wcfHx+PmPup0+nwwAMPYP369Xj00UeLdBAV/T2tVouOHTti/fr1aNeunUd8LVUqFXx8fODn5wetVlukkFCtVmPQoEF87ZCZyWRCnTp1ivTaQUREREREVBaU/euRidxEq9UWBi+SJLGrSyZ6vR5Dhw7F4cOHsW/fPthstr/cRqPRICQkBDVq1EDdunUREhKCixcvYteuXcjIyFCg6jv8/PzQs2dPvP7666hWrZpidXiTu2+YrFixArNmzcK6deuQm5urWD1BQUFo3749atSogYyMDJw7dw7x8fHIyMj429mqer0ecXFxGDp0qEcEz97q7qFk/v7+nHNLREREREReg8EtURFJkoSrV6/i2rVrMBgM0Ov1UKlUDHBlUK9ePbz55ptYu3Ytfv31VyQmJkKSJFSoUAENGjRArVq1EBsbi+bNmyM0NBSiKOLixYuwWCzYunWrIgebqVQq1K1bF08//TSqVKni9v29XXR0NMaMGYMLFy7g0KFDin2PW7ZsienTp6NmzZpQqVS4desWDh8+jLNnz+LixYs4deoU0tPTIQgCKleujEceeQRPPPEEYmNj3V5veSBJEkRRREFBQeHrszccbEhERERERAQwuCUqMpvNhl27dsHhcKB58+aIiopCdHQ0atWqhYoVK/LyXBdSqVRo3rw5YmNjMWzYMGRlZQG409EaFhZWeHr8n0PzRo0aYfDgwdi5cyfy8/PdXrMgCAgLC0PlypX5syADlUqFypUrIzQ0VLE3SwwGA4YMGYJGjRpBp9MBuHN5fvXq1WG325GVlYXU1FTk5eUBuDOvOTo6Gr6+vorU682cTidu3bqFixcvIjExEYmJiTh06BD2798Pu92udHlEREREREQuweCWqIhEUURKSgo2bNiAn3/+GWq1GjqdDhERERg7diwGDx7Mg8tczNfXF3Xq1CnSbfV6PTp16oS6deviyJEjMlf2V6Io4vr167h27RqqVKniEfN2vYkoirh27RquXr2qWEdlbGwsOnXqVBja3iUIAnQ6HUJDQxEaGqpIbeVJZmYmVq1ahY8//hgpKSmw2WxwOp2w2+1wOp2FYxOIiIiIiIjKOga3RMUgSRIcDsc98xMzMzPx2muvwel0Yty4cTAYDApWWL6FhIRg1KhROHPmDCwWi1v3liQJFy9exFdffYW6desiPDzcrft7u1u3buHLL7/ExYsXFQnmDAYDRo8ezTdnFGaxWLB8+XLMnz9f0XnWRERERERE7sCWMCIXyMjIwJYtW3Dz5k2lSynX1Go1OnXqhNatWytyOb3NZsPq1auxZMkStwfH3sxiseDdd9/F6tWr//awOrkJgoDWrVujU6dOHIOhsKSkJGzduhWZmZlKl0JERERERCQ7BrdELiBJEuLj45GSkqJ0KeVeTEwMRowYgYiICEX2z8nJwdKlS7Fs2TIekuQCoijio48+wtKlS2E2mxWpITIyEiNHjkR0dLQi+9P/l5ycjMuXL3McAhERERERlQsMbolcJC8vj12WHkCr1aJPnz4YNWoUAgICFKnBbDZj0aJF+PnnnxkwlYIkSdi6dSveeOMNZGdnK1JDQEAARo8ejd69e0Or1SpSA/1/Foul8PA3IiIiIiIib8fglshF1Go1L6P2EEajERMmTMCTTz4JHx8fRWpITk7GJ598guTkZEX29wapqan48MMPFfsa+vr6ol+/fnjmmWdgNBoVqYHupVKp+DpLRERERETlBoNbIhcxGAx/OW2elFOhQgWMHTsW9erVg0bj/nMYJUnCkSNHcOLECbfv7S2OHz+OY8eOKdK1rNFoUL9+fYwdOxYhISFu35/+nk6n4+ssERERERGVG+5PM4i8lFarVSQgpL+nUqlQuXJl1KtXD2fPnoXD4XB7Dbdv30Z6ejokSVLksLSyTJIkpKWlKXYIlU6nQ2xsLCpXrgyViu9xegqtVsvgloi83t03LM25Chcit3ylC5CZ2a50BfLz9p9Rs/t/f3C7AqULkJkXv86Y/++xcTSf9xMkfpeJiIiIiIg8wo0bN1C5cmWlyyAiojIgMTERUVFRSpdBMmJwS0RERERE5CFEUcTNmzfh7+/vlit2zGYzKleujMTERJhMJtn3czdvf3yA9z9Gb398gPc/Rm9/fID7H6MkScjJyUFkZCSvEPRyvK6biIiIiIjIQ6hUKkW6p0wmk9cGKoD3Pz7A+x+jtz8+wPsfo7c/PsC9jzEgIMAt+5CyGMsTEREREREREREReRgGt0REREREREREREQehsEtERERERFROaXX6zFr1izo9XqlS5GFtz8+wPsfo7c/PsD7H6O3Pz6gfDxGUgYPJyMiIiIiIiIiIiLyMOy4JSIiIiIiIiIiIvIwDG6JiIiIiIiIiIiIPAyDWyIiIiIiIiIiIiIPw+CWiIiIiIiI0LNnT0RHR8NgMCAiIgJDhgzBzZs3lS7LZa5du4ZRo0ahatWq8PHxQfXq1TFr1izYbDalS3OZuXPnIi4uDr6+vggMDFS6HJf44IMPEBMTA4PBgFatWuHgwYNKl+Qyu3btwmOPPYbIyEgIgoAffvhB6ZJcav78+WjRogX8/f0RGhqK3r1748KFC0qX5TLLli1Dw4YNYTKZYDKZ0Lp1a2zevFnpssjLMLglIiIiIiIidOjQAatXr8aFCxewdu1aXL58GX379lW6LJc5f/48RFHERx99hDNnzuDtt9/Ghx9+iBdeeEHp0lzGZrPhySefxLhx45QuxSW+++47TJkyBbNmzcLRo0fRqFEjPProo7h165bSpblEXl4eGjVqhA8++EDpUmSxc+dOPPPMM9i/fz9++eUX2O12dO7cGXl5eUqX5hJRUVFYsGABjhw5gsOHD6Njx47o1asXzpw5o3Rp5EUESZIkpYsgIiIiIiIiz7Jx40b07t0bVqsVWq1W6XJk8eabb2LZsmW4cuWK0qW41IoVKzB58mRkZWUpXUqptGrVCi1atMD7778PABBFEZUrV8bEiRMxY8YMhatzLUEQsH79evTu3VvpUmSTlpaG0NBQ7Ny5E23btlW6HFkEBwfjzTffxKhRo5QuhbwEO26JiIiIiIjoHpmZmfjqq68QFxfntaEtAGRnZyM4OFjpMuhv2Gw2HDlyBJ06dSr8nEqlQqdOnfDHH38oWBmVVHZ2NgB45XPO6XTi22+/RV5eHlq3bq10OeRFGNwSERERERERAGD69Onw8/NDSEgIEhISsGHDBqVLkk18fDzee+89/Oc//1G6FPob6enpcDqdCAsLu+fzYWFhSElJUagqKilRFDF58mQ8+OCDqF+/vtLluMypU6dgNBqh1+vx9NNPY/369YiNjVW6LPIiDG6JiIiIiIi81IwZMyAIwn0/zp8/X3j7qVOn4tixY9i2bRvUajWGDh0KT5+uV9zHCABJSUno0qULnnzySYwZM0ahyoumJI+PyNM888wzOH36NL799lulS3Gp2rVr4/jx4zhw4ADGjRuHYcOG4ezZs0qXRV6EM26JiIiIiIi8VFpaGjIyMu57m2rVqkGn0/3l8zdu3EDlypWxb98+j770t7iP8ebNm2jfvj0eeOABrFixAiqVZ/czleR76A0zbm02G3x9ffH999/fM/d12LBhyMrK8rpucG+ecTthwgRs2LABu3btQtWqVZUuR1adOnVC9erV8dFHHyldCnkJjdIFEBERERERkTwqVqyIihUrlui+oigCAKxWqytLcrniPMakpCR06NABzZo1w/Llyz0+tAVK9z0sy3Q6HZo1a4bt27cXhpmiKGL79u2YMGGCssVRkUiShIkTJ2L9+vXYsWOH14e2wJ2fUU9/zaSyhcEtERERERFROXfgwAEcOnQIbdq0QVBQEC5fvoyXX34Z1atX9+hu2+JISkpC+/btUaVKFSxatAhpaWmFfxceHq5gZa6TkJCAzMxMJCQkwOl04vjx4wCAGjVqwGg0KltcCUyZMgXDhg1D8+bN0bJlS7zzzjvIy8vDiBEjlC7NJXJzcxEfH1/456tXr+L48eMIDg5GdHS0gpW5xjPPPIOvv/4aGzZsgL+/f+Fs4oCAAPj4+ChcXenNnDkTXbt2RXR0NHJycvD1119jx44d2Lp1q9KlkRfhqAQiIiIiIqJy7tSpU/jvf/+LEydOIC8vDxEREejSpQteeuklVKpUSenyXGLFihX/GPh5y6/Fw4cPx8qVK//y+d9//x3t27d3f0Eu8P777+PNN99ESkoKGjdujHfffRetWrVSuiyX2LFjBzp06PCXzw8bNgwrVqxwf0EuJgjC335++fLlGD58uHuLkcGoUaOwfft2JCcnIyAgAA0bNsT06dPxyCOPKF0aeREGt0REREREREREREQexvMH+hARERERERERERGVMwxuiYiIiIiIiIiIiDwMg1siIiIiIiIiIiIiD8PgloiIiIiIiIiIiMjDMLglIiIiIiIiIiIi8jAMbomIiIiIiIiIiIg8DINbIiIiIiIiIiIiIg/D4JaIiIiIiIiIiIjIwzC4JSIiIiIiIiLFtW/fHpMnT1a6DCIij8HgloiIiIiIiIiIiMjDMLglIiIiIiIiIreQJAkOh0OWtZ1OJ0RRlGVtIiIlMLglIiIiIiIiohKzWq2YNGkSQkNDYTAY0KZNGxw6dAgAsGPHDgiCgM2bN6NZs2bQ6/XYs2cP8vLyMHToUBiNRkREROCtt97623Wff/55VKpUCX5+fmjVqhV27NhR+PcrVqxAYGAgNm7ciNjYWOj1eiQkJPxjnbt27YJWq0VKSso9n588eTIeeugh13wxiIhciMEtEREREREREZXYtGnTsHbtWqxcuRJHjx5FjRo18OijjyIzM7PwNjNmzMCCBQtw7tw5NGzYEFOnTsXOnTuxYcMGbNu2DTt27MDRo0fvWXfChAn4448/8O233+LkyZN48skn0aVLF1y6dKnwNvn5+Vi4cCE+/fRTnDlzBqGhof9YZ9u2bVGtWjWsWrWq8HN2ux1fffUVRo4c6cKvCBGRawiSJElKF0FEREREREREZU9eXh6CgoKwYsUKDBo0CMCdMDQmJgaTJ09GixYt0KFDB/zwww/o1asXACA3NxchISH48ssv8eSTTwIAMjMzERUVhbFjx+Kdd95BQkICqlWrhoSEBERGRhbu16lTJ7Rs2RLz5s3DihUrMGLECBw/fhyNGjUqUr1vvPEGVqxYgbNnzwIA1q1bh2HDhiElJQV+fn6u/NIQEZUaO26JiIiIiIiIqEQuX74Mu92OBx98sPBzWq0WLVu2xLlz5wo/17x583vuY7PZ0KpVq8LPBQcHo3bt2oV/PnXqFJxOJ2rVqgWj0Vj4sXPnTly+fLnwdjqdDg0bNixyvcOHD0d8fDz2798P4M64hX79+jG0JSKPpFG6ACIiIiIiIiLybsUNRnNzc6FWq3HkyBGo1ep7/s5oNP6/du5epZEoDAPwZ0AhGAV/CIIgSMTCQghYeANiobkCMQix0DqkEhsJIoo3YJNOsLUJFpYWaiV2YmtjCgmKjajbuYQlsBtZHXafBwZmzsw5vPXLx3zcp9Pp6Orq+u1zs9lsFAqFqNVqMT4+HvV6veW/uQBJYuIWAAAA6Egul4uenp44Ozv7WHt5eYnLy8uYmppqu6e7uzvOz88/1h4eHuLm5ubjOZ/Px+vra9zf38fExETLNTIy8qnMq6urcXR0FAcHB5HL5VqmhQGSxMQtAAAA0JHe3t5YX1+PSqUSg4ODMTY2Fru7u/H8/BylUimurq5+2ZPJZKJUKkWlUomhoaHIZrOxsbERqdTP2bLJyclYWlqKYrEY+/v7kc/no9FoxOnpaUxPT8fCwkLHmefn56O/vz+q1WpsbW11fA7A36a4BQAAADq2s7MTb29vsby8HI+PjzEzMxMnJycxMDDQds/e3l48PT1FoVCIvr6+KJfL0Ww2W76p1WpRrVajXC7H3d1dDA8Px+zsbCwuLn4qbyqVipWVldje3o5isfipswD+pq739/f37w4BAAAA8FVKpVI0Go04Pj7+7igAbZm4BQAAAP4LzWYzrq+v4/DwUGkLJJ7iFgAAAPgnZDKZtu/q9Xpsbm7GxcVFrK2txdzc3BcmA/hzfpUAAAAA/BNub2/bvhsdHY10Ov2FaQA+R3ELAAAAAJAwqe8OAAAAAABAK8UtAAAAAEDCKG4BAAAAABJGcQsAAAAAkDCKWwAAAACAhFHcAgAAAAAkjOIWAAAAACBhFLcAAAAAAAnzAzBH7FQC54hvAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1400x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# gradually increase the binarization strength over iteration\n",
    "beta = beta0\n",
    "beta_increment = 0.5\n",
    "\n",
    "history = dict(\n",
    "    loss=[],\n",
    "    objective=[],\n",
    "    efficiency=[],\n",
    "    fab_penalty=[],\n",
    "    betas=[],\n",
    "    params=[],\n",
    "    order_powers=[],\n",
    ")\n",
    "\n",
    "fig, axes = plt.subplots(2, 2, figsize=(14, 10))\n",
    "\n",
    "for i in range(num_steps):\n",
    "    # compute gradient and current loss function value\n",
    "    (loss, gradient), aux_data = loss_fn_val_grad(params, beta)\n",
    "\n",
    "    # record history\n",
    "    history[\"loss\"].append(loss)\n",
    "    history[\"objective\"].append(aux_data[\"objective\"])\n",
    "    history[\"efficiency\"].append(aux_data[\"efficiency\"])\n",
    "    history[\"fab_penalty\"].append(aux_data[\"fab_penalty\"])\n",
    "    history[\"betas\"].append(beta)\n",
    "    history[\"params\"].append(params.copy())\n",
    "    history[\"order_powers\"].append(aux_data[\"order_powers\"])\n",
    "\n",
    "    # per-order power statistics\n",
    "    op = aux_data[\"order_powers\"]\n",
    "    op_fracs = op / op.sum()\n",
    "    ideal_frac = 1.0 / NUM_TARGET_ORDERS\n",
    "    cv = np.std(op) / (np.mean(op) + 1e-20)\n",
    "\n",
    "    # log output\n",
    "    print(f\"step {i}/{num_steps}\")\n",
    "    print(f\"  loss (maximize) = {loss:.3e}\")\n",
    "    print(f\"  cost (minimize) = {aux_data['objective']:.3e}\")\n",
    "    print(f\"  efficiency      = {aux_data['efficiency']:.3f}\")\n",
    "    print(f\"  fab_penalty     = {aux_data['fab_penalty']:.3e}\")\n",
    "    print(f\"  beta            = {beta:.2f}\")\n",
    "    print(f\"  |gradient|      = {np.linalg.norm(gradient):.3e}\")\n",
    "    print(\n",
    "        f\"  order powers: min={op.min():.4f}  max={op.max():.4f}  mean={op.mean():.4f}  CV={cv:.3f}\"\n",
    "    )\n",
    "\n",
    "    # NEGATE gradient because we are MAXIMIZING\n",
    "    updates, opt_state = optimizer.update(-gradient, opt_state, params)\n",
    "    params = np.clip(optax.apply_updates(params, updates), 0.0, 1.0)\n",
    "\n",
    "    # update beta\n",
    "    beta += beta_increment\n",
    "\n",
    "    # --- Live-updating progress plot ---\n",
    "    for ax in axes.flat:\n",
    "        ax.clear()\n",
    "\n",
    "    fig.suptitle(\n",
    "        f\"Iteration {i}/{num_steps}  |  eff={aux_data['efficiency']:.3f}  \"\n",
    "        f\"CV={cv:.3f}  beta={beta:.1f}\"\n",
    "    )\n",
    "\n",
    "    # Top-left: loss history\n",
    "    axes[0, 0].plot(history[\"loss\"], \"o-\", label=\"objective (maximize)\")\n",
    "    axes[0, 0].set_xlabel(\"iteration\")\n",
    "    axes[0, 0].set_ylabel(\"objective\")\n",
    "    axes[0, 0].set_title(\"Objective (higher = better)\")\n",
    "    axes[0, 0].legend()\n",
    "\n",
    "    # Top-right: objective components\n",
    "    axes[0, 1].plot(history[\"efficiency\"], \"o-\", label=\"efficiency\")\n",
    "    axes[0, 1].plot(history[\"objective\"], \"o-\", label=\"cost\")\n",
    "    axes[0, 1].plot(history[\"fab_penalty\"], \"o-\", label=\"fab penalty\")\n",
    "    axes[0, 1].set_xlabel(\"iteration\")\n",
    "    axes[0, 1].set_ylabel(\"value\")\n",
    "    axes[0, 1].set_title(\"Objective Components\")\n",
    "    axes[0, 1].legend()\n",
    "\n",
    "    # Bottom-left: design pattern\n",
    "    density = filter_project(params, beta)\n",
    "    axes[1, 0].imshow(np.flipud(1 - density.T), cmap=\"gray\")\n",
    "    axes[1, 0].axis(\"off\")\n",
    "    axes[1, 0].set_title(\"Design\")\n",
    "\n",
    "    # Bottom-right: diffraction order power heatmap\n",
    "    grid_size = 2 * TARGET_ORDER + 1\n",
    "    order_grid = np.zeros((grid_size, grid_size))\n",
    "    for (ox, oy), pwr in zip(aux_data[\"order_labels\"], aux_data[\"order_powers\"]):\n",
    "        order_grid[ox + TARGET_ORDER, oy + TARGET_ORDER] = pwr\n",
    "    order_grid_norm = order_grid / (order_grid.sum() + 1e-20)\n",
    "\n",
    "    im = axes[1, 1].imshow(\n",
    "        order_grid_norm,\n",
    "        cmap=\"hot\",\n",
    "        vmin=0,\n",
    "        extent=[-TARGET_ORDER - 0.5, TARGET_ORDER + 0.5, -TARGET_ORDER - 0.5, TARGET_ORDER + 0.5],\n",
    "        origin=\"lower\",\n",
    "    )\n",
    "    axes[1, 1].set_xlabel(\"order_y\")\n",
    "    axes[1, 1].set_ylabel(\"order_x\")\n",
    "    axes[1, 1].set_title(\n",
    "        f\"Power / Order (ideal={ideal_frac:.4f}, \"\n",
    "        f\"min={op_fracs.min():.4f}, max={op_fracs.max():.4f})\"\n",
    "    )\n",
    "\n",
    "    plt.tight_layout()\n",
    "    clear_output(wait=True)\n",
    "    display(fig)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c46502a2",
   "metadata": {},
   "source": [
    "## Analyze Results\n",
    "\n",
    "First, let's plot the objective function history, and the final permittivity distribution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "fd77b1bc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "params_final = history[\"params\"][-1]\n",
    "beta_final = history[\"betas\"][-1]\n",
    "\n",
    "fig, axe = plt.subplots(nrows=1, ncols=2, figsize=(10, 5))\n",
    "\n",
    "density = filter_project(params_final, beta_final)\n",
    "\n",
    "axe[0].imshow(np.flipud(1 - density.T), cmap=\"gray\")\n",
    "axe[0].axis(\"off\")\n",
    "\n",
    "axe[1].plot(history[\"loss\"], label=\"total loss\")\n",
    "axe[1].plot(np.zeros_like(history[\"loss\"]), linestyle=\":\", color=\"k\", label=\"no loss\")\n",
    "\n",
    "axe[1].set_xlabel(\"iteration number\")\n",
    "axe[1].set_ylabel(\"loss value\")\n",
    "\n",
    "axe[1].set_title(\"loss function over optimization\")\n",
    "axe[1].legend()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f8aea191",
   "metadata": {},
   "source": [
    "Now, we can run the final simulation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "a2351131",
   "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\">11:39:51 -03 </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'Inspect'</span> with resource_id                            \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-f687365c-8fba-47de-b8d8-a52122c7c223'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m11:39:51 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'Inspect'\u001b[0m with resource_id                            \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-f687365c-8fba-47de-b8d8-a52122c7c223'\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-f687365c-8fba-47de-b8d8-a52122c7c223\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-f687365c-8fb</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-f687365c-8fba-47de-b8d8-a52122c7c223\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">a-47de-b8d8-a52122c7c223'</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=517945;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f687365c-8fba-47de-b8d8-a52122c7c223\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=586046;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f687365c-8fba-47de-b8d8-a52122c7c223\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=517945;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f687365c-8fba-47de-b8d8-a52122c7c223\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=977595;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f687365c-8fba-47de-b8d8-a52122c7c223\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=517945;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f687365c-8fba-47de-b8d8-a52122c7c223\u001b\\\u001b[32m-f687365c-8fb\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=517945;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f687365c-8fba-47de-b8d8-a52122c7c223\u001b\\\u001b[32ma-47de-b8d8-a52122c7c223'\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-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\" 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=641801;https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "7ffd8c98d635405db56c8190611bcd04",
       "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\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\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\">11:39:57 -03 </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.781</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;36m11:39:57 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m0.781\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\">11:39:59 -03 </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m11:39:59 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \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>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f592d3699a2746ec95b5d8a22a0b12be",
       "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\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">11:40:03 -03 </span>status = preprocess                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m11:40:03 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \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\"></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\">11:40:08 -03 </span>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m11:40:08 -03\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \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\">11:40:09 -03 </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m11:40:09 -03\u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
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       "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\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">11:41:04 -03 </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">80</span>%, exiting.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m11:41:04 -03\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m80\u001b[0m%, exiting.                            \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\"></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\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\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\">11:41:05 -03 </span>status = postprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m11:41:05 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "Output()"
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     },
     "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>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \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\"></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\">11:41:07 -03 </span>View simulation result at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-f687365c-8fba-47de-b8d8-a52122c7c223\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-f687365c-8fb</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-f687365c-8fba-47de-b8d8-a52122c7c223\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">a-47de-b8d8-a52122c7c223'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m11:41:07 -03\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=285775;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f687365c-8fba-47de-b8d8-a52122c7c223\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=937697;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f687365c-8fba-47de-b8d8-a52122c7c223\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=285775;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f687365c-8fba-47de-b8d8-a52122c7c223\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=562751;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f687365c-8fba-47de-b8d8-a52122c7c223\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=285775;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f687365c-8fba-47de-b8d8-a52122c7c223\u001b\\\u001b[4;34m-f687365c-8fb\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=285775;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f687365c-8fba-47de-b8d8-a52122c7c223\u001b\\\u001b[4;34ma-47de-b8d8-a52122c7c223'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
      ]
     },
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    {
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       "model_id": "df82b348fa104aa1b725c499889f0851",
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       "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\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\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\">11:41:11 -03 </span>Loading simulation from simulation_data.hdf5                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m11:41:11 -03\u001b[0m\u001b[2;36m \u001b[0mLoading simulation from simulation_data.hdf5                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim_final = make_sim(params_final, beta_final)\n",
    "sim_data_final = web.run(sim_final, task_name=\"Inspect\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7363b3c7",
   "metadata": {},
   "source": [
    "As we can see, although starting with a random distribution, we can achieve good figures of merit when compared with the reference [paper](https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11261/1126115/Adjoint-method-and-inverse-design-for-diffractive-beam-splitters/10.1117/12.2543367.short).\n",
    "\n",
    "Although the performance is good, the minimum feature sizes might be too small for some fabrication systems. In that case, it is possible to increase the radius parameter to help enforce larger feature sizes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "903ff4dd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Efficiency: 0.91\n",
      "RMSE: 0.15\n"
     ]
    }
   ],
   "source": [
    "efficiency, rmse = post_process(sim_data_final)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
