{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "9a8067fc",
   "metadata": {},
   "source": [
    "# Unidirectional SPP from non-Hermitian metagratings"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0540bd37",
   "metadata": {},
   "source": [
    "Non-Hermitian systems are open systems that can exchange energy, matter, or information with their surroundings through the engineering of gain or loss materials. While quantum mechanics traditionally requires Hamiltonians to be Hermitian to produce real eigenvalues, it's been discovered that a system with a spatially varying complex potential energy can still have real eigenvalues if it obeys a certain symmetry known as Parity-Time (PT) symmetry.\n",
    "\n",
    "One concept that has gained particular attention in non-Hermitian photonics is the phenomenon of \"exceptional points.\" These are points in parameter space at which the eigenvalues and the eigenvectors of a non-Hermitian system coincide. Around these exceptional points, systems can have unique and often counterintuitive properties. For instance, light in these systems can exhibit uni-directional propagation, enhanced sensitivity to external parameters, or unusual scattering behavior. Non-Hermitian photonics has potential applications in many areas, including the design of new types of lasers, sensors, and photonic devices with novel properties. \n",
    "\n",
    "This notebook demonstrates the unidirectional surface plasmon polariton (SPP) propagation from non-Hermitian metagratings. The design is adapted from [Yihao Xu et al. ,Subwavelength control of light transport at the exceptional point by non-Hermitian metagratings. Sci.  Adv. 9, eadf3510(2023)](https://www.science.org/doi/10.1126/sciadv.adf3510).\n",
    "\n",
    "<img src=\"img/nonhermitian_metagrating.png\" width=\"500\" alt=\"Schematic of the non-Hermitian metagrating\">\n",
    "\n",
    "For more interesting contents in the realm of nanophotonics, please check out the case studies on [Anderson localization](https://www.flexcompute.com/tidy3d/examples/notebooks/AndersonLocalization/), [hyperbolic polaritons](https://www.flexcompute.com/tidy3d/examples/notebooks/NanostructuredBoronNitride/), and [plasmonic nanoantennas](https://www.flexcompute.com/tidy3d/examples/notebooks/PlasmonicYagiUdaNanoantenna/). For more simulation examples, please visit our [examples page](https://www.flexcompute.com/tidy3d/examples/). If you are new to the finite-difference time-domain (FDTD) method, we highly recommend going through our [FDTD101](https://www.flexcompute.com/fdtd101/) tutorials. FDTD simulations can diverge due to various reasons. If you run into any simulation divergence issues, please follow the steps outlined in our [troubleshooting guide](https://www.flexcompute.com/tidy3d/examples/notebooks/DivergedFDTDSimulation/) to resolve it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "bf9df052",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import tidy3d as td\n",
    "import tidy3d.web as web\n",
    "from tidy3d.plugins.dispersion import DispersionFitter"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ae504163",
   "metadata": {},
   "source": [
    "## Simulation Setup "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "62091a1b",
   "metadata": {},
   "source": [
    "Define the basic model parameters including the simulation wavelength/frequency and the metagrating geometric parameters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "7fef6fca",
   "metadata": {},
   "outputs": [],
   "source": [
    "lda0 = 1.15  # simulation wavelength\n",
    "freq0 = td.C_0 / lda0  # simulation frequency\n",
    "\n",
    "w1 = 0.083  # width of the first nanostrip in the unit cell\n",
    "w2 = 0.162  # width of the second nanostrip in the unit cell\n",
    "t1 = 0.08  # thickness of the first nanostrip\n",
    "t2 = 0.03  # thickness of the bottom layer of the second nanostrip\n",
    "t3 = 0.022  # thickness of the top layer of the second nanostrip\n",
    "s = 0.35  # center-to-center distance between the nanostrips\n",
    "p = 1.14  # grating period\n",
    "t_au = 0.06  # gold layer thickness\n",
    "N = 9  # number of unit cells\n",
    "inf_eff = 1e3  # effective infinity"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7279dd10",
   "metadata": {},
   "source": [
    "The metagrating utilizes four materials: a silicon dioxide substrate, a gold thin film, germanium nanostrips, and chromium nanostrips. These materials can be defined in different ways. Specifically, we use the gold medium directly from the [material library](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/material_library.html). The germanium is defined using the [from_nk](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.Medium.html#tidy3d.Medium.from_nk) method by specifying the real and imaginary parts of the refractive index at the simulation frequency. Silicon dioxide is considered as a lossless medium. Chromium is modeled as a dispersive medium by fitting the raw data from experimental measurements. \n",
    "\n",
    "In this simulation, we are only concerned about one frequency, so in principle the dispersive fitting is not necessary. However, chromium has $Re(\\varepsilon)<1$ at 1150 nm. In Tidy3D, we require the nondispersive medium to have $Re(\\varepsilon)\\ge 1$. Therefore, it can not be defined using the [from_nk](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.Medium.html#tidy3d.Medium.from_nk) method directly and dispersive fitting is the only option. \n",
    "\n",
    "The raw data file `Cr_Sytchkova.csv` can be found on the refractive index [database](https://refractiveindex.info/?shelf=main&book=Cr&page=Sytchkova) or on our github [repo](https://github.com/flexcompute/tidy3d-notebooks/tree/develop/misc)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e67a4833",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9c6ac705e4b346c1a2517db31bdab3ad",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:02:43 CEST </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Unable to fit with RMS error under </span><span style=\"color: #008000; text-decoration-color: #008000\">'tolerance_rms'</span><span style=\"color: #800000; text-decoration-color: #800000\"> of    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.01</span><span style=\"color: #800000; text-decoration-color: #800000\">                                                              </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:02:43 CEST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Unable to fit with RMS error under \u001b[0m\u001b[32m'tolerance_rms'\u001b[0m\u001b[31m of    \u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[1;36m0.01\u001b[0m\u001b[31m                                                              \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# define gold medium\n",
    "Au = td.material_library[\"Au\"][\"Olmon2012stripped\"]\n",
    "\n",
    "# define Ge medium\n",
    "Ge = td.Medium.from_nk(n=4.6403, k=0.2519, freq=freq0)\n",
    "\n",
    "# define SiO2 medium\n",
    "SiO2 = td.Medium(permittivity=1.45**2)\n",
    "\n",
    "# define Cr medium\n",
    "fname = \"misc/Cr_Sytchkova.csv\"  # read the refractive index data from a csv file\n",
    "fitter = DispersionFitter.from_file(fname, delimiter=\",\")  # construct a fitter\n",
    "Cr, rms_error = fitter.fit(num_poles=4, num_tries=10)\n",
    "fitted_nk = Cr.nk_model(freq0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f0b68de",
   "metadata": {},
   "source": [
    "After the fitting, we see a warning that the fitting RMS error didn't get lower than the threshold. We can inspect the fitting result of chromium to see if the fitting is sufficiently good. Here we do see the fitting is quite reasonable.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "22317026",
   "metadata": {},
   "outputs": [
    {
     "data": {
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1Kt9++y2NGzcmPj4eOzs7ypcvD4CLiwuOjo4ZbXv06GFynblz5+Ls7MyJEyeoV69exn4PDw8OHTqU9y8vhBCi5Lv/96wTcLo3mEWAWRmoPweq9tK0xIIkwa6wzZypdgvfa8CAzPcBAerzAAXgt99+48aNG+zcuZPGjRvn2DYxMRHAZO3UsLAwUlJSaNq0aca+8uXL4+3tbXLuwYMHCQwM5N9//yU6Ojqjxy08PJw6dbIfcXT27Fn8/f3Zu3cvN2/eNDnv3mBnY2NDQkJCLr+1EEKIUuXe37OVgSDUUHcLmHgH+p+CuhrWV8Ak2BW2QYPg+efV96GhaqibPRt8fdV9Bdhb5+PjQ2hoKHPnzsXPzw9dDl3QFSpUACA6OhpnZ+dcf8adO3fo1KkTnTp1YtGiRTg7OxMeHk6nTp1ISUnJ8dxu3bpRuXJlZs+ejYeHB0ajkXr16j1w3q1bt/JUkxBCiFIk/fdswmG49D7oksDoAY1nwx9uBfp7tiiQYFfYsrrV6uubGewKULVq1Zg8eTJt2rRBr9czbdq0HNva29tz4sQJatasmbHPwsKCvXv38sQTTwBq8Dtz5kzGbd1Tp04RFRXFV199haenJwAHDhwwubalpSUABoMhY19UVBSnT59m9uzZtGrVCoAdO3ZkWduxY8do06bNI/wEhBBClHju7mB2CrYOVkPdCeCFxdA4+8ePShIZPFHK1KxZk82bN7N8+fIcJxU2MzOjQ4cOJuHKzs6Ot956ixEjRrBp0yaOHTvGG2+8gZlZ5j9GTzzxBJaWlnz33XecP3+eVatWERISYnLtypUro9Pp+PPPP/nvv/+Ij4+nXLlyODk5MWvWLM6dO8emTZsYNmzYA3UlJCRw8OBBnnnmmcf/YQghhCh5rq2HLc9C2h2wbQoTAX3Jmc7kYSTYacndXX2mrpC7hb29vdm0aRNLlizh448/zrbd22+/zdKlS01GpU6cOJFWrVrRrVs3OnToQMuWLWnUqFHGcWdnZ+bPn8+vv/5KnTp1+Oqrr5g0aZLJdStWrEhQUBCffPIJrq6ufPDBB5iZmbF06VIOHjxIvXr1GDp0KBMnTnygppUrV/LEE09k9OoJIYQQGa7+CdueB0MSeHQFvyUwuvB/z2pJpyiKonURRU1cXBwODg7ExsZib29vciwpKYkLFy7g5eVlMrCgJFIUhaZNmzJ06FB69+6tdTkAPPXUUwwePJhXX301365Zmv5OhRCixLr8O+x4BZQ0qPQitFgKekutq8oXOeWS+0mPnciWTqdj1qxZpKWlaV0KoK4V+7///a/IhEwhhBBFxMWlsKOnGuoq94KWy0pMqMsrGTwhctSwYUMaNmyodRmAOlJ35MiRWpchhBCiKDm/APa+qS4R5tUPmv4IZnqtq9KM9NgJIYQQong6Nwv29L+77usAeGpuqQ51IMFOCCGEEMXR6e9g3yBAgZofQpOZoJNYIz8BIYQQQhQvJyfBwcHq+9rDodE3JXLd10chwU4IIYQQxcexsXBohPq+7ufQcIKEunvI4AkhhBBCFH2KAkfGwPEv1O0GIVDvc21rKoIk2AkhhBCiaFMUODxSvQULai9dnRHa1lRESbATQgghRNGlGOHgR3Dm7vrmjb4F7w+1rakIk2fsRI5SUlKoXr06u3btKvTPvnjxIjqdjsOHD+f6nDZt2pisgfvUU0+xfPny/C9OCCFEwVOMsO+du6FOp458lVCXIwl2IkczZszAy8uL5s2ba13KI/n888/55JNPTNa7FUIIUQwYDbDnTQibrU5j8tQ8qD5Q66qKPAl2IluKojBt2jTeeustrUt5ZF26dOH27dusXbtW61KEEELkljEVdr8GFxaATg/Nfoaq/bSuqliQYFdKtGnThsGDBzNy5EjKly+Pm5sbgYGBOZ5z8OBBwsLC6Nq1a8a+9Nujv/zyC61atcLGxobGjRtz5swZ9u/fj5+fH3Z2dnTp0oX//vsv4zyj0UhwcDCVKlXCysqKhg0bsm7dOpPP27dvHz4+PlhbW+Pn58ehQ4ceqOnYsWN06dIFOzs7XF1def3117l582a230Gv1/Pss8+ydOnSXP6khBBCaMqQAjt7waWlYGYBLX+BKrJGeG5JsMsHiqJwJ+VOob8URclTnQsWLKBMmTLs3buXCRMmEBwczD///JNt++3bt1OzZk3Kli37wLGAgAA+//xzQkNDMTc359VXX2XkyJF88803bN++nXPnzuHv75/R/ptvvmHy5MlMmjSJI0eO0KlTJ55//nnOnj0LQHx8PM899xx16tTh4MGDBAYGMnz4cJPPjImJoV27dvj4+HDgwAHWrVvH9evX6dmzZ47fu0mTJmzfvj0vPyohhBBaMCTB9v/B5d/BzBJa/Q6e/9O6qmJFRsXmg4TUBOzG2RX658aPjqeMZZlct2/QoAEBAQEA1KhRg2nTprFx40Y6duyYZftLly7h4eGR5bHhw4fTqVMnAD766CN69+7Nxo0badGiBQBvvfUW8+fPz2g/adIkRo0aRa9evQAYP348mzdvZurUqXz//fcsXrwYo9HIjz/+iLW1NXXr1uXKlSu8++67GdeYNm0aPj4+fPnllxn75s6di6enJ2fOnKFmzZpZ1urh4cHly5cxGo2Ymcn/ywghRJEREQEzZ8KgQeDsANtehMi/QW8NT68E92e0rrDYkd9ypUiDBg1Mtt3d3blx40a27RMTE7G2tn7otVxdXQGoX7++yb70a8fFxXHt2rWM0JeuRYsWnDx5EoCTJ0/SoEEDk89r1qyZSft///2XzZs3Y2dnl/GqVasWAGFhYdl+DxsbG4xGI8nJydm2EUIIoYGICAgKgqthsKXr3VBnC23+klD3iKTHLh/YWtgSPzpek8/NCwsLC5NtnU6X42jRChUqcPTo0YdeS3d3KZf79+X3SNT4+Hi6devG+PHjHzjm7u6e7Xm3bt2iTJky2NjY5Gs9Qggh8oENcPkDSPwXzMuqoc6lpdZVFVua99hdvXqV1157DScnJ2xsbKhfvz4HDhzItv3vv/9Ox44dcXZ2xt7enmbNmrF+/XqTNoGBgeh0OpNXes9OQdDpdJSxLFPoL10Br43n4+PDqVOn8vws3/3s7e3x8PBg586dJvt37txJnTp1AKhduzZHjhwhKSkp4/iePXtM2vv6+nL8+HGqVKlC9erVTV5lymR/S/rYsWP4+Pg81ncQQgiRTyIiIDT07ms7jEYNdWZloeI0MFTTusJiTdNgFx0dTYsWLbCwsGDt2rWcOHGCyZMnU65cuWzP2bZtGx07duSvv/7i4MGDtG3blm7duj0wgrJu3bpERERkvHbs2FHQX6fEadu2LfHx8Rw/fvyxrzVixAjGjx/PsmXLOH36NJ988gmHDx/mo48+AuDVV19Fp9MxYMAATpw4wV9//cWkSZNMrvH+++9z69Ytevfuzf79+wkLC2P9+vX0798fg8GQ7Wdv376dZ56RLn0hhCgSZs6ERo2gZSOIGALVgNvA6NvQsp96XDwyTW/Fjh8/Hk9PT+bNm5exz8vLK8dzpk6darL95ZdfsnLlSlavXm3SK2Nubo6bm1u+1lvaODk58eKLL7Jo0SLGjRv3WNcaPHgwsbGxfPzxx9y4cYM6deqwatUqatSoAYCdnR2rV6/mnXfewcfHhzp16jB+/Hh69OiRcY30Xr9Ro0bxzDPPkJycTOXKlencuXO2gyKuXr3Krl27+Pnnnx+rfiGEEPlk0CB4ruPd26+H1VBnHgDLn1eP5/BojXg4nfK499keQ506dejUqRNXrlxh69atVKxYkffee48BAwbk+hpGo5EqVaowcuRIPvjgA0C9FTtx4kQcHBywtramWbNmjBs3jieeeCJX14yLi8PBwYHY2Fjs7e1NjiUlJXHhwgW8vLyyHVhQkhw5coSOHTsSFhaGnV3hj/x9XKNGjSI6OppZs2Zl26a0/Z0KIYSmDEmwtRtEbgAzOxgdD8sPgq+v1pUVWTnlkvtpeiv2/PnzTJ8+nRo1arB+/XreffddBg8ezIIFC3J9jUmTJhEfH28yl1nTpk2ZP38+69atY/r06Vy4cIFWrVpx+/btLK+RnJxMXFycyUuoGjRowPjx47lw4YLWpTwSFxcXQkJCtC5DCCEEqCtK7OiphjrzMuD5HVzUuqiSRdMeO0tLS/z8/EwWmB88eDD79+9n9+7dDz1/8eLFDBgwgJUrV9KhQ4ds28XExFC5cmWmTJmS5fJYgYGBBAUFPbBfeuxKB/k7FUKIQmA0wK4+EL5MnaeuzV9grJU5j53cgs1Wsemxc3d3zxgVma527dqEh4c/9NylS5fy9ttv88svv+QY6gAcHR2pWbMm586dy/L46NGjiY2NzXhdvnw5919CCCGEEDlTjLDvbTXUmVmoK0q4tlXDXGCghLp8pGmwa9GiBadPnzbZd+bMGSpXrpzjeUuWLKF///4sWbLEZB3T7MTHxxMWFpbtXGdWVlbY29ubvIQQQgiRDxQFDnwI5+eDTg8tloJHF62reiyBgZD+lM+mC5tYcWpFxrGQEPW4VjQdFTt06FCaN2/Ol19+Sc+ePdm3bx+zZs0yedB99OjRXL16lYULFwLq7dd+/frxzTff0LRpUyIjIwF1dQEHBwdAXe6qW7duVK5cmWvXrhEQEIBer6d3b1lEWAghhCg0igKHR8HZHwAdPLWgRKz9qteDvz8cURazUvcGZjozdr65k79+bIS/PwQHa1ebpj12jRs35o8//mDJkiXUq1ePkJAQpk6dSp8+fTLaREREmNyanTVrFmlpabz//vu4u7tnvNLnQwO4cuUKvXv3xtvbm549e+Lk5MSePXtwdnYu1O8nhBBClGrHguHkRPV9k5ng1Sfn9sXE558rPBM0kd+UPqQaU3mh1gusmlMvI9SNGaNdbZoOniiqZLqT0kX+ToUQogCcnASHRqjvfb+GWkM0LSe/GIwGhq4fynf7vlN37B6KxeZJpKaYFVioKzaDJ4QQQghRAp2dnhnqGowtMaEuKS2JV357JSPUTX5mMpabp5CaYoalpbY9dekk2AkhhBAi/5xfAPvfU9/XGQ31PtO2nnxyK/EWz/z0DMtPLsdSb8mSHku4s2EYKSlgaQkpKZkDKrQkwa6UaNOmDUOGDMnzeWPGjGHgwIH5X1Au5LXm+fPn4+jomLE9Y8YMunXrlv+FCSGEyNqlX2Dvm+r7moPhyS+0rSefhMeG03JuS7aHb8fByoH1r63n7B+9Mp6pS05W//T31z7caToqVhRtkZGRfPPNNxw9elTrUh7Jm2++SUhICNu3b6dVq1ZalyOEECXbldXqBMSKEaq9DY2mgk6ndVWP7d/If3l28bNcu32NimUrsrbPWlbMqv/AQIn0P/39TbcLmwQ7ka05c+bQvHnzh84rWFRZWlry6quv8u2330qwE0KIghS5AXa8BEoaVH4VGs8oEaFu4/mNvLjsRW6n3Kauc13W9lmLp4Mnyw1Zj35N3zYYCr/WdHIrNj8oCqTdKfzXYwxoXrNmDQ4ODixatCjbNkuXLn3gVmabNm348MMPGTJkCOXKlcPV1ZXZs2dz584d+vfvT9myZalevTpr1641OW/r1q00adIEKysr3N3d+eSTT0hLS8s4fufOHfr27YudnR3u7u5Mnjz5gXqSk5MZPnw4FStWpEyZMjRt2pQtW7bk+D27devGqlWrSExMzMVPRQghRJ7d2AFbXwBjClR6EZotADO91lU9tsVHF9NlURdup9ymdeXW7HhzB54OnoA6AXF2PXJjxpTiCYpLDEMC/GJX+J/bM15dRDmPFi9ezDvvvMPixYt57rnnsmxz69YtTpw4gZ+f3wPHFixYwMiRI9m3bx/Lli3j3Xff5Y8//uDFF1/k008/5euvv+b1118nPDwcW1tbrl69yrPPPssbb7zBwoULOXXqFAMGDMDa2prAu//0jxgxgq1bt7Jy5UpcXFz49NNPCQ0NpWHDhhmf+8EHH3DixAmWLl2Kh4cHf/zxB507d+bo0aPUqFEjy+/h5+dHWloae/fupU2bNnn+WQkhhMhB1AHY8qz6e9C9M7RYAmbFO1ooisKkXZMYuWEkAD3r9mRh94VYmVtpXFnuSI9dKfP999/z3nvvsXr16mxDHUB4eDiKouDh4fHAsSeffJLPP/+cGjVqMHr0aKytralQoQIDBgygRo0a+Pv7ExUVxZEjRwD44Ycf8PT0ZNq0adSqVYvu3bsTFBTE5MmTMRqNxMfH8+OPPzJp0iTat29P/fr1WbBggUmPXnh4OPPmzePXX3+lVatWVKtWjeHDh9OyZUvmzZuX7fewtbXFwcGBS5cuPcZPTQghxANijsLmTpB2G1zaqOu/6otH+MmOwWjgo3UfZYS6oU8NZUmPJcUm1IH02OUPva3ae6bF5+bBb7/9xo0bN9i5cyeNGzfOsW36rcusJuxt0KBBZgl6PU5OTtSvXz9jn6urKwA3btwA4OTJkzRr1gzdPc9btGjRgvj4eK5cuUJ0dDQpKSk0bdo043j58uXx9vbO2D569CgGg4GaNWua1JKcnIyTk1OO38XGxoaEhIQc2wghhMiDuNOwqQOk3AKnp6D1KjC30bqqx5KUlsRrv7/G8pPLAXWOumHNhmlcVd5JsMsPOt0j3RItbD4+PoSGhjJ37lz8/PxMgtb9KlSoAEB0dPQDS7FZWFiYbOt0OpN96dc1Go35VTrx8fHo9XoOHjyIXm/67IadXc63wW/duiXLyQkhRH6JvwAb20PSDSjXENquBYuyWlf1WG4l3qL70u5sD9+Opd6SBd0X0KteL63LeiRyK7YUqVatGps3b2blypV8+OGHD21rb2/PiRMnHvtza9euze7du7l39bqdO3dStmxZKlWqRLVq1bCwsGDv3r0Zx6Ojozlz5kzGto+PDwaDgRs3blC9enWTl5ubW7afHRYWRlJSEj4+Po/9PYQQotSKiFBHBFw4qIa6xKvgUAfa/g2WjlpX91iymqOuuIY6kGBX6tSsWZPNmzezfPnyHCf/NTMzo0OHDuzYseOxP/O9997j8uXLfPjhh5w6dYqVK1cSEBDAsGHDMDMzw87OjrfeeosRI0awadMmjh07xhtvvIGZWeY/njVr1qRPnz707duX33//nQsXLrBv3z7GjRvHmjVrsv3s7du3U7VqVapVq/bY30MIIUqtiAj4OggO9oA7F8CuGrTbANbF+27Iv5H/0uzHZpy8eZKKZSuyvf922lRpo3VZj0WCXSnk7e3Npk2bWLJkCR9//HG27d5++22WLl362LdUK1asyF9//cW+fft48skneeedd3jrrbf4/PPPM9pMnDiRVq1a0a1bNzp06EDLli1p1KiRyXXmzZtH3759+fjjj/H29qZ79+7s37+fJ554ItvPXrJkCQMGDHis+oUQotQzxMInQMolsPWE9hvBxl3rqh7LxvMbaTWvFdduX6Ouc112v7Wb+q71H35iEadTlMeYDK2EiouLw8HBgdjYWOzt7U2OJSUlceHCBby8vLIcWFCSKIpC06ZNGTp0KL1799a6nDw7fvw47dq148yZMzg4OGTbrjT9nQohRK5FRKgvYyKcfB30F0BxgGoLwNIT3N3VVzG0+Ohi3ljxBqnGVFpXbs2KXitwtHbUuqxs5ZRL7ic9diJbOp2OWbNmmUw7UpxERESwcOHCHEOdEEKIbMycCU0awa8t1VB3GxgVC826Q6NG6vFiRlEUJu6cSJ/f+5BqTKVn3Z6sf219kQ51eSWjYkWOGjZsaDJJcHHSoUMHrUsQQojia+AA8NsPcX+BYgkTUyBwNvj6qseLWW+dwWhg6PqhfLfvO0Cdo27SM5Mw05WsPi4JdkIIIYR40PWpaqjT6aHSJAgbrIa69GBXjJSUOepyQ4KdEEIIIUydnKS+AJrOhZh62taTB4GBoNdnruV67xx1eizprixgWLPiO53Jw0iwe0Qy5qTkkL9LIYS4x4Wf4NAI9b3PRKjaVx1EERBQLG6/6vXg76++7zc4nM4/d+bkzZNY40DS/BU8+WYbTesraBLs8ih9hYWEhARsbIr38ilClb7c2P0ragghRKlzbR3seVN9X2sY1B6uvnd3V7vCioH0njr/6QeZaOzGbSKwpyJxP6wl+IP6GcdLKgl2eaTX63F0dMxYB9XW1jbHpblE0aUoCgkJCdy4cQNHR8cHlioTQohS5eZe2N4DlDSo0kftrSum6r70OxbG17hNIrr/6hL301qCh3uW+FAHEuweSfoSVunhThRvjo6OOS5LJoQQJV7cadjaFQwJ4N5Jfa6uGI4WVRSF8TvHM3rjaAB0YZ1RflmKpeJQKkIdSLB7JDqdDnd3d1xcXEhNTdW6HPEYLCwspKdOCFG6JVyFTc9AchSUbwwtfwO9pdZV5VmKIYV3/nyHeYfnAdCUD9i76Gsszc1JSYGQEEpFuJNg9xj0er2EAiGEEMVXSgxs7gwJ4VC2JrRZAxZ2WleVZ1EJUfzvl/+x7dI2zHRmdOEb1gR8QHCwGuZCQjIHVJT0cCfBTgghhCiN0hJh6/MQe0xd97XterB21rqqPDt98zTPLXmOc7fOUdayLN1Tf+GngM4ZoQ7uGVBRCsKdBDshhBCitDEaYNer8N92sLCHNuvArorWVeXZpgub6PFLD2KSYqjiWIXVvVfz2w/1TEJduvRtg6Hw6yxMOkUm8XpAXhbbFUIIIYoVRYH978C5WWBmpfbUubbWuqo8mxM6h3fXvEuaMY1mlZqxotcKXMq4aF1WgchLLil+Q16EEEII8eiOBqqhTmcGLRYXu1BnMBoY/vdwBqweQJoxjd71erOp36YSG+rySm7FCiGEEKXFmR/gWLD63u8H8PyftvXkUXxKPH1+78Oq06sACGoTxJinx8h8sveQYCeEEEKUBuG/wYEP1Pf1A6HGIE3LyasrcVfotqQbhyMPY6W3Yn73+fSqV3LXfH1UEuyEEEKIku76ZtjVB1Cg+jtQz1/rivLkwLUDPL/keSLiI3Ap48KKV1bQzLOZ1mUVSRLshBBCiJIs+jBs6w7GFPXWq980KEa3LpefWM7rf7xOYloi9Vzqsbr3aqo4VtG6rCJLBk8IIYQQJVX8edjcBVLjwKU1NF8EZsVjYn1FURi3fRwv/foSiWmJdK7emZ1v7pRQ9xDSYyeEEEKUREk3YFMnSIoExwbw9ErQW2tdVa6kGFIYuHogC/5dAMCHTT5kSqcpmJtJbHkYzXvsrl69ymuvvYaTkxM2NjbUr1+fAwcO5HjOli1b8PX1xcrKiurVqzN//vwH2nz//fdUqVIFa2trmjZtyr59+wroGwghhBBFSEQEBI2GfzpC/DkoUwXarAVLB60ry5WbCTfp+FNHFvy7AL1Oz7Qu0/i2y7cS6nJJ02AXHR1NixYtsLCwYO3atZw4cYLJkydTrly5bM+5cOECXbt2pW3bthw+fJghQ4bw9ttvs379+ow2y5YtY9iwYQQEBBAaGsqTTz5Jp06duHHjRmF8LSGEEEI718Ih6Su4fQSsKqgTENt6aF1VhsBAde3WrAwOPkXNCU+x7dI27K3sWfPqGt5v8n6h1lfcabryxCeffMLOnTvZvn17rs8ZNWoUa9as4dixYxn7evXqRUxMDOvWrQOgadOmNG7cmGnTpgFgNBrx9PTkww8/5JNPPnnoZ8jKE0IIIYolxQhrukLcOtDZwDNbwamx1lWZCAlR12y9f9mvN4I3siDhJbBRlwf7s/ef1HWpq12hRUixWXli1apV+Pn58fLLL+Pi4oKPjw+zZ8/O8Zzdu3fToUMHk32dOnVi9+7dAKSkpHDw4EGTNmZmZnTo0CGjjRBCCFGiRERAaCj8/bYa6tKAxEFwSa/uj4jQusIMY8aooc7fP7Pn7oXg2SxI6ww2MTT3bM7et/dKqHtEmga78+fPM336dGrUqMH69et59913GTx4MAsWLMj2nMjISFxdXU32ubq6EhcXR2JiIjdv3sRgMGTZJjIyMstrJicnExcXZ/ISQgghio2ZM2F4I4iap27PAd6aCo0aqa+ZM7Ws7gEZ4S7AgP7Zj1mlDAR9Gq/Wf5WNfTfK8mCPQdMnEY1GI35+fnz55ZcA+Pj4cOzYMWbMmEG/fv0KrY5x48YRFBRUaJ8nhBBC5KuXakBNPWCA1G6wfTXMng2+vupxd3dNy8vKB8OjCTjTB2P1tYAsD5ZfNO2xc3d3p06dOib7ateuTXh4eLbnuLm5cf36dZN9169fx97eHhsbGypUqIBer8+yjZubW5bXHD16NLGxsRmvy5cvP+I3EkIIIQpZ9GE48Q5gAK9+UC9A3e/rm/kqYsHuyPUjVJvgh1J9LaRaw29L0G3zl1CXDzQNdi1atOD06dMm+86cOUPlypWzPadZs2Zs3LjRZN8///xDs2bq0iKWlpY0atTIpI3RaGTjxo0Zbe5nZWWFvb29yUsIIYQo8u5chi1dIS0eXNtBk1lFflWJJUeX4DejGdGcx5EqhL6/i+CevUyeuROPTtNbsUOHDqV58+Z8+eWX9OzZk3379jFr1ixmzZqV0Wb06NFcvXqVhQsXAvDOO+8wbdo0Ro4cyZtvvsmmTZv45ZdfWLNmTcY5w4YNo1+/fvj5+dGkSROmTp3KnTt36N+/f6F/RyGEEKJApMTClmch8Ro41IVWy0FvqfbOBQQUuV66VEMqozaM4us9XwNQjWfYO2IxTrZO+NwdHet/dwnbe0fLirzRNNg1btyYP/74g9GjRxMcHIyXlxdTp06lT58+GW0iIiJMbs16eXmxZs0ahg4dyjfffEOlSpWYM2cOnTp1ymjzyiuv8N9//+Hv709kZCQNGzZk3bp1DwyoEEIIIYolYyrseAlij4GNO7T5Cywd1WPu7upkcUXIjTs36PlrT7Ze2gpAK0azeUwI+nuWN0sPcwaDFhWWHJrOY1dUyTx2QgghiixFgb1vwvn5YF4GOmyH8j5aV5WtfVf30eOXHlyJu4KdpR0Lui/gf7X/p3VZxUpecomszyGEEEIUJ8dC1FCn00OLX4p0qJsTOof3/3qfFEMK3k7e/PHKH9R2rq11WSWaBDshhBCiuDi/EI7eHfXq9z1UfFbberKRnJbMh2s/ZHaouujAC94vsPDFhdhbyV2wgibBTgghhCgOIjfB3rfU93VGQY1B2taTjStxV+jxSw/2Xd2HDh1j243lk5afYKbTdCKOUkOCnRBCCFHUxRyH7f8DJQ0q94Inv9S6oixtvbiVnr/15MadG5SzLseSHkvoVL3Tw08U+UaCnRBCCFGUJUao05qkxoJzS3hqHhSx3i9FUfhm7zcM/3s4BsXAk65P8vsrv1O1XFWtSyt1JNgJIYQQRVVqvDoBcUI4lK0JT68AvbXWVZlISE1gwOoBLD66GIBX67/K7G6zsbWw1biy0kmCnRBCCFEUGdNg5ysQfQisnKHtWrByKrSPDwwEvT7ryYJDQtT55vp+dJ4Xl73IketH0Ov0TOk0hQ+bfChLg2moaPXlCiGEEEKdq+7AB3DtL9DbQOvVYFe4tzX1erJc5iskRN0fZraWRrMaceT6EVzKuLCp3yYGNx0soU5j0mMnhBBCFDUnJ8C5mYAOmi+GCk0LvYQxWSzzFRIC/gFG2gV9ySLFHyVJoWnFpvzW8zcq2Vcq9BrFgyTYCSGEEEXJxaVw+BP1ve/X4Nlds1LuDXdjx0KKLpZaAf3YpKwEYFCjQXzT+RuszK00q1GYkluxQgghRFFxYzvs6ae+9/4Ian2kbT2o4c7SElIcTsDAJpxiJZZ6S+Z0m8OM52ZIqCtipMdOCCGEKAriTsO2F8CYApVeBJ/JWlcEqLdfU6r/Bi/0B6t47KnEP/2X06RiE61LE1mQHjshhBBCa0k3YHMXSIkGp6bQ/Gcw02tdFf7BifjvfRd6vgxW8VShDXETD7J+roS6okp67IQQQggtXQmD9a3B5qo68rX1KjDXfg64D4KP8f31XtD4OACjWoxibLuxjDMzNxlQIYoWCXZCCCGEVhQjhA5UQ52ZA7RZC9Yu2pakKMw8OJOZxqHgkoRrGVd+evEnOlbrCGSGOYNBwyJFtiTYCSGEEFr591OI3wSpQLXJYF9T03KiE6MZsHoAy08uBx10rt6ZBd0X4FLGNGxKT13RJcFOCCGEKGwREXByOkSOV7dnAf0VsA1Vt93d1Vch2hG+g1eXv8rluMtYmFnwVYevGPLUEMyK2Lq0ImcS7IQQQojCtvATcF+o/hb+HdgF7BqQeTwgQF3TqxAYjAa+2P4FQVuDMCpGqpevzpIeS/Dz8CuUzxf5S4KdEEIIUZjiToPXSkgD7DtB5x6wfCDMng2+vmqbQuqtuxJ3hdd+f42tl7YC8FqD1/jh2R8oa1W2UD5f5D8JdkIIIURhSboJW7pCWixUaAbtV8C/J9Rjvr6Zwa4QrDq9iv4r+3Mr8RZ2lnb88OwPvP7k64X2+aJgSLATQgghCoMhGbb/D+LDoEwVeHoF6K0LvYyktCRG/D2CafunAdDIvRFLeiyhhlONQq9F5D8JdkIIIURBUxTYOwD+2w4W9tBmTea0Ju7u6jN1j3H7NTAQ9PqsR6uGhKhTkwQGwsn/TtJreS+OXD8CwLCnhjGuwzgs9ZaP/NmiaJGhLkIIIURBO/4FXPwJdHpo+Rs41Mk85u6upq7HCHZ6Pfj7qyHuXiEh6n4zM4UfQ3/Eb7YfR64fwdnWmb9e/YvJnSZLqCthpMdOCCGEKEiXlsGRu11pft+De8d8/4j0nrp7V4RID3WfBsVyos4gAlYvA6BD1Q789OJPuNm55XsdQnsS7IQQQoiCcnMP7O6nvvceCjUGFdhH3Rvuxo6FlBQYELSHxQ69uXj8IuZm5oxtO5YRLUbI3HQlmE5RFEXrIoqauLg4HBwciI2Nxd7eXutyhBBCFEfxF+HvppB0Ayp2g1Z/gJm+wD/WygpSUo3onx4P7cZgUAx4OXqxpMcSmlZqWuCfL/JfXnKJ9NgJIYQQ+S0lFrY+p4a6cg2h+eJCCXUhIZBidQ1d774YvDaCAr3r9WZ61+k4WDsU+OcL7UlfrBBCCJGfjGmw8xWIPQ427tB6NVjYFfjHBgcr+P/2MzYf10Px2ogFtrBiLrWOL5JQV4pIj50QQgiRXxQFDg6GiPWgt1VDnW2lAv/YEcHXmHTqHfjfahIBX3dfFv1vEb+a1cLfH3S6rKdCESWPBDshhBAiv5z+Fs5OB3TQfBGUb1SgH6coCgv/Xcg04xDwjsFSb0lA6wBGNB+Bhd4iI8wZDAVahihCJNgJIYQQ+eHqn3BomPreZwJ4di/Qj7sSd4WBqwey9txa0EFjj8bMe2EedV3qmrSTnrrSRYKdEEII8bii/4WdvUAxQrW3odbHBfZRiqIw99Bchv09jLjkOKz0VgS1CeLj5h9jbia/1ks7+SdACCGEeByJEeoI2LQ74NoOGv+gPtRWAMJjwxmwegB/h/0NQNOKTZn3wjxqO9cukM8TxY8EOyGEEOJRpSXA1uch4QrYe0Or38DMIt8/RlEUZh2cxYh/RnA75TbW5taEtA1h6FND0RfCNCqi+JBgJ4QQQjwKxQi7X4dbB8DKCVqvActyuTo1MFBd3zWr599CQtTBDoGB6vbFmIu8veptNl7YCEBzz+bMfX4u3hW88+d7iBJF03nsAgMD0el0Jq9atWpl275NmzYPtNfpdHTt2jWjzRtvvPHA8c6dOxfG1xFCCFGa7BwMl38HnSW0WgFlq+X6VL1eXforJMR0f/r6rno9GBUjP+z/gXo/1GPjhY3YmNvwdaev2fbGNgl1Ilua99jVrVuXDRs2ZGybm2df0u+//05KSkrGdlRUFE8++SQvv/yySbvOnTszb968jG0rK6t8rFgIIUSpFzYPwr9X37uNAZeWeTr93nVd07fTQ11wMLz6fhjtF77NlotbAGj1RCvmvjCX6uWr59MXECWV5sHO3NwcNze3XLUtX768yfbSpUuxtbV9INhZWVnl+ppCCCFEnlzfCvsHqe9/Bz599pEuc2+4GzsWUlIgMMiI4zPf02DGJySkJmBrYctX7b/i/SbvY6aTxaLEw2n+T8nZs2fx8PCgatWq9OnTh/Dw8Fyf++OPP9KrVy/KlCljsn/Lli24uLjg7e3Nu+++S1RUVI7XSU5OJi4uzuQlhBBCPOD8btj8AhhTIc1PDXahoZmviIg8XW7MGLC0VEOdhetZNnq2YfC6wSSkJtCmShuOvnuUD5t+KKFO5JpOURRFqw9fu3Yt8fHxeHt7ExERQVBQEFevXuXYsWOULVs2x3P37dtH06ZN2bt3L02aNMnYn96L5+XlRVhYGJ9++il2dnbs3r0bvT7rkUOBgYEEBQU9sD82NhZ7e/vH+5JCCCFKhpQYWFQDrG5CGDAWSLmvTUBA5qiHXAgJAf8AA/rm32Jo8xlYJFLGogwTOk7gHb93JNAJAOLi4nBwcMhVLtE02N0vJiaGypUrM2XKFN56660c2w4aNIjdu3dz5MiRHNudP3+eatWqsWHDBtq3b59lm+TkZJKTkzO24+Li8PT0lGAnhBBCZUyDLV0h8m8wd4EqC+HIZRgwAGbPBl9ftZ27u/rKhZAQ8J+5j4oDPuAq+9Wd59sxtNqPTPGvUjDfQxRLeQl2mj9jdy9HR0dq1qzJuXPncmx3584dli5dSnBw8EOvWbVqVSpUqMC5c+eyDXZWVlYywEIIIUT2QoeqoU5vCx3WQXkfMA9Vj/n6Zga7XPok+D/GHxwNA37kKlDWsiyTnplE5JoBBAToKKeTpcDEoylSwS4+Pp6wsDBef/31HNv9+uuvJCcn89prrz30mleuXCEqKgr3XP4flBBCCGHizA9wZpr6vvnPaqh7RGnGNGYcmME3xjHgGwNAvyf78VWHr3Czc4NG6qIVBkM+1C1KJU2D3fDhw+nWrRuVK1fm2rVrBAQEoNfr6d27NwB9+/alYsWKjBs3zuS8H3/8ke7du+Pk5GSyPz4+nqCgIHr06IGbmxthYWGMHDmS6tWr06lTp0L7XkIIIUqIiH/g4GD1/ZNfgueLmcfc3dVn6nLZcbD90nY+WPsBR64fAR00dGvItC7TaPFEC5N20lMnHoemwe7KlSv07t2bqKgonJ2dadmyJXv27MHZ2RmA8PBwzMxMHxw9ffo0O3bs4O+//37genq9niNHjrBgwQJiYmLw8PDgmWeeISQkRG61CiGEyJvYU7DjZVAM4NUX6nxietzdPVcDJa7dvsbIf0ay6OgiAMpZl+OLdl8wsNFAWQ5M5LsiNXiiqMjLQ4pCCCFKoOQoWN8U4sPAuQW02wh6qzwtBZZiSOHbvd8StDWI+JR4dOgY4DuAL9p/QQXbCoX5bUQxV2wHTwghhBCaM6TA9h5qqCtTBVr9Dnr1rk/6UmBgGu7uXTUC4J+wfxi8bjCnbp4CoGnFpnz/7Pc08mhUiF9ElEYS7IQQQoh0igIH3ocbW8G8LLReDdYuGYcfthRY3w8v8dIvH7P85HIAnG2dmdBxAn2f7Ctz0olCIcFOCCGESHfqawibAzozaLEUHOs90CSrpcDGBCWhaz2J2t9/SWJaInqdng+afEBgm0AcrR0L9zuIUk2escuCPGMnhBCl0NU/YevzgAK+X0OtITk2t7JSQ515nT95YtBHnI8+D8DTlZ/muy7f0cC1QcHXLEoFecZOCCGEyIuYo7CzN6BAtQHg/VGOzUNCIMXuHLouQ0irsYbz0eBR1oNJHSfRq14vdDpd4dQtxH3khr8QQojSLekGbO0GafHg2hYaf6/OEpyNT4Jv4r9jOPrBdVFqrEGPBewYSf/4U/Su31tCndCU9NgJIYQovQxJsK073LkEZWtAy9/AzCLLpnHJcXQf/zWbkyZD89sYgI5VO/Jtl2/51awW/v5gJUuBCY1JsBNCCFE6KQrsHQA3d4OFozoC1qr8A80SUxOZfmA6X27/kiglCqzAx82HL9t/SadqndDpdBlhTpYCE1qTYCeEEKJ0OjEOLv4MOj20+hXsvU0OpxpSmX94PkFbg7h6+yoA3k7ehLQNoUedHg9MXyI9daIokGAnhBCixDNZMSIiAhZ9BB6/ArDmxjT2z+iQsWKEUTHyy/Ff8N/sz9lbZwHwtPcksE0gfZ/si7mZ/OoURZf80ymEEKLEM1kxov0mcFJD3d6YwTw35B2Cg0FRFP46+xefbfqMf6//C6gTDH/W6jMG+Q3C2txaq/KFyDUJdkIIIUq89Nuk06dcY2ilYdhZweVbzWjx0WSCg6F13220mvcpOy/vBMDeyp4RzUcw5Kkh2FnaaVi5EHkjExRnQSYoFkKIEiYiAq6e57+DA3EuewKuwocB3+DwlhMHa//Auv92AWBtbs3gJoMZ1XIU5W0eHEghhBZkgmIhhBDiXjNnwK1gnJ8CbsP5OXD9uY+YVgH4D8wVMwY0HsTnT3+OR1kPrasV4pFJsBNCCFHyPRMPF8FgNKfv/los7XUMoxnoFB19KnUhsNXnVPNupnWVQjw2WXlCCCFEyXZxKVycAsCAG2ks9lRD3ZNJrVGm/0vNiDUS6kSJIcFOCCFEiWRUjOwInULyzj4ATIyGebfhOddW7J4Dh1+eQvAH9fH3V9d+FaIkkFuxQgghSpTktGQWH13Mz3vG8XOZs1iZw5/xOpbd7Mvx90ZSJ60cRM4Ed3dZMUKUODIqNgsyKlYIIYoOk8mF7xMSooaywECITYpl1sFZTN07lZj4a+yoBD7WEKGvgNJxBx7lvR+8gBDFgIyKFUIIUWKYTC58T7gLCVH3Dw+6ysh/vmHGgRncTrmNDvjT0xof6ySMVhVw77Qf7KpoUboQhU6CnRBCiCItPczdG+5CQsD/u+P4BE7iG90iUnelAlDHuQ6Lq1flyZt/gpklZk+vlFAnShUJdkIIIYq8zHCnELxgO2lNJ8D7azgEYISnKz/NyOYj6WIehdmefmrjpnPAublWJQuhCQl2QgghiryE1AQ8u/2C7vJ00iruA0CHjv/V/h8jmo+gaaWm8N9u2Pg/9YQ6o8HrdQ0rFkIbEuyEEEIUWf9G/svs0Nn8fORnYpNjoSKQZgWH32Bw44+Z2rOG2vDOJdjeHYwpUKk7PDlWw6qF0E6eg11cXFy2IzLOnTtH9erVH7soIYQQpVd8SjxLjy1lduhs9l3dl3kg2osO5Qfw86g3mfW1K/7+4KSDMZ/chq3dIOkGlGsIzX4CnUzTKkqnPAe7rl27smHDBqysrEz2nz59mvbt23PlypV8K04IIUTxl9vpSg5eO8isg7NYfGwx8SnxAFiYWVDT2J3jCwcS2K8dAf5qYEu/VmCAgVfcXqVmmaNg7QpPrwILu8L5YkIUQXkOdnZ2drz44ousWrUKc3P19JMnT9KuXTt69uyZ7wUKIYQo3nKcruSLOLp9uphGs2YTGhGacaxG+RoM8B1Av4b9+GGiC6+88WAwHDMG2pcfTc0yf4KZFTy9Esp4FvwXEqIIy/MExYmJiXTo0IFKlSqxdOlSjh8/Tvv27enTpw9TpkwpqDoLlUxQLIQQ+St9zrngYPj8c4VBIfuYfXAWFr5LSSUBAEu9JT1q92Bgo4G0rtwanU6X80XD5sHeN9X3zRdDld4F/C2E0EZecskjrTwRExNDmzZtqFGjBtu2baNv375MnDjxkQsuaiTYCSFE/vsk+D/Gr1mGrtFsFNcjGftrV6jNAN8BvP7k61SwrZDzRSIiYOZMeKUh/NsTjKlQbww0CC7Y4oXQUL6vPBEXF2eybWZmxrJly+jYsSM9evRgzJgxGW0kCAkhhEgXlRDFH6f+YNnxZWxmMzxrQAFIteb1Ri8zsNFAWni2eHjvXLqICPghCGo7qKHuiZehfmABfgMhipdcBTtHR8cs/6VTFIUZM2Ywc+ZMFEVBp9NhkJWUhRCiVItOjGbl6ZUsO76MDec3kGZMyzx4rRH6Y/0whL5GjU/L0fLFPF7ccBuGA4ZYKN8InpovI2CFuEeugt3mzZsLug4hhBBFVG5GtQ4bHcfKUyv55cQvrD+3nlRjakabhm4NqXC9Jxum9iR4aDXGzMx85g6yvq6JiAj1pRjg1AdQCTA6QrmxcOQUuLurLyFE7oJd69atC7oOIYQQRVR2o1o/D77NF7/+Sa2XlvHVxHUkG5IzjtVzqUfPOj3pWbcnv0z3xj9AHTiRfn5W679ma+ZMCAqC14AuQDIQEgMXuqjHAwLU9CmEkJUnhBBC5OzeEJasxNOgx18E/fYLJ1LXwEtJnAIwQK0KtXil7iv0rNuTOs51Ms43GExD3f3XfegTPIMGQasUuD5O3Z4BfDobfH3VbemtEyLDI42KzS+BgYEEBQWZ7PP29ubUqVNZtp8/fz79+/c32WdlZUVSUlLGtqIoBAQEMHv2bGJiYmjRogXTp0+nRo0aua5LRsUKIYRKURRO3jzJ2rNr+eGftZxP2w7mKRnHq5evzit1X+GVuq9Qz6Ve7gdB5EXkBtjcWb0VW+E96PQDHDyYGeyEKOHyfVRsQapbty4bNmzI2E6f9Dg79vb2nD59OmP7/v+ITJgwgW+//ZYFCxbg5eXFmDFj6NSpEydOnMDa2jp/ixdCiBLodvJtNl7YyNqza1kXto7w2PDMg+bAraqYnXqZA/NfoaFbw4IJc+liT8H2l9RQV+U1sHoT+KHgPk+IYk7zYGdubo6bm1uu2+t0umzbK4rC1KlT+fzzz3nhhRcAWLhwIa6urqxYsYJevXrlS81CCFEcZTcIQlEUPgw5zmnjWgxea9kRvsNk8IOV3orWVVpjdr4L677tgsXtmqSm6PhzDvg8bODD40iOgq3PQWosVGgOTWfDjWj1mTq5/SpEljQfI3727Fk8PDyoWrUqffr0ITw8PMf28fHxVK5cGU9PT1544QWOHz+ecezChQtERkbSoUOHjH0ODg40bdqU3bt3Z3vN5ORk4uLiTF5CCFHSpA+CCAmBuOQ4fj/5OwNXD8Qx+Am+V+qzQTeSzRc3k2pMpVq5anzQ+AP+7P0nt0bdouWF9awLGELwR96kJOsIDs68VoEwpMD2HhAfBmWqwNN/gN5aDXSBgRLshMhGvvbYtWvXjrZt2/Lxxx9ja2v70PZNmzZl/vz5eHt7ExERQVBQEK1ateLYsWOULVv2gfbe3t7MnTuXBg0aEBsby6RJk2jevDnHjx+nUqVKREZGAuDq6mpynqura8axrIwbN+6BZ/2EEKIk+e/Of9R/eSfNjdvxv7ydwK9CMZI5asEcazpUb0OX6l3oUr0LNZwyn0u+dzmwRxrVmleKAvvfhRtbwbwstF4N1i75+AFClFz5OnjijTfe4OLFi5w/f/6hPW9ZiYmJoXLlykyZMoW33nrroe1TU1OpXbs2vXv3JiQkhF27dtGiRQuuXbuG+z3/N9ezZ090Oh3Lli3L8jrJyckkJ2cO04+Li8PT01MGTwghiiVFUbgQc4Ed4TvYfmk7Oy7v4NTNLAalRdWAs114rVlnZo1ug42FTZbXy808dvk628jJSXBohDrx8NOroeKz+XhxIYofzQZPzJ8/P6OAR+Ho6EjNmjU5d+5crtpbWFjg4+OT0T792bvr16+bBLvr16/TsGHDbK9jZWWFlZXVI9UshBCF7f6gZTAaOHbjGNvDtzNz7Q4uKdu5rbv2wHl1nOvQ6olWtHyiJW+2b0XqzcpYWsJPax/+ednJ1546gCur4NBI9b3PFAl1QuRRgQyeeNRervj4eMLCwnj99ddz1d5gMHD06FGefVb9F9/Lyws3Nzc2btyYEeTi4uLYu3cv77777iPVJIQQRYmiKMSZXeLrxYfYaAzFpvoBdl/eTWxybGYjHViYWdDIo1FGkGvh2QInWydA7WVLvQmWlpCSom7ne0B7FNGHYdergALV3wHvwVpXJESx80jBbuPGjWzcuJEbN25gNBpNjs2dOzfX1xk+fDjdunWjcuXKXLt2jYCAAPR6Pb179wagb9++VKxYkXHj1Ekpg4ODeeqpp6hevToxMTFMnDiRS5cu8fbbbwPqiNkhQ4YwduxYatSokTHdiYeHB927d3+UryqEEJoxKkbORp0lNCKU0IhQDkUeIjQilGglGnrBVoC7NzisKEvyuea0q9ES/76taFyxMbYWDz7rfP/zcnla2qsgJUbA1uch7Q64tge/b6Egp1ERooTKc7ALCgoiODgYPz8/3N3dH2v+oitXrtC7d2+ioqJwdnamZcuW7NmzB2dnZwDCw8MxM8scuBsdHc2AAQOIjIykXLlyNGrUiF27dlGnTuYM5yNHjuTOnTsMHDiQmJgYWrZsybp162QOOyFEkXPvLdXktGRO3TyVEeBW7gslQjlMqu7OA+dZmFmokwFH+hK6xgfzyGYkX21AcKB5juGs0AdB5FZaImzrDgmXwd4bWv0KZhYaFCJE8ZfnwRPu7u5MmDAh17dLiyNZeUIIUVCiE6M5dfMUp26e4sdVJ9l5+hRO3qeI0Z3HoDy4tpaNuQ0N3Rri4+aDr7svvu6+1HWpi6XeEgArK/V2qqUl3DMGLEuFPggiNxQj7OwN4b+AZXnotBfKVi/kIoQo2gp08ERKSgrNmzd/5OKEEKKkMxgNXIm7khHgTt48mfH++p3rpo29IQpAAXsre8on+3Jxtw89mvsS/K4v3k7e6M30WX5OSEhmqMvNs3KFOggit44GqaHOzAJa/S6hTojHlOdg9/bbb7N48WLGFIknbYUQovApisL1O9e5EH2BCzEXuBhzkd82XiBWdxFduQuEx4abrNxwv4plK1KrQi1qV6hNrQq12L+uFgsm1SYx2Z2LKTqTW6XZKbLPyj1MRATMnAmDBkHyZjgWrO5vPANcW2tbmxAlQJ6DXVJSErNmzWLDhg00aNAACwvT5yCmTJmSb8UJIURhUxSF2ORYrt2+xrXb17gad5Vrt69xOe5yRoi7GHORpLQk0xPTHzeOVv8wNzOnRvkacLMWJ7fX4n9P1+aTt2rhXcEbe6v7bqU0gSVfZPa+5TXUQRF5Vi43IiIgKAg6VoHL76j7ao+Aam9qWpYQJUWeg92RI0cyphI5duyYybECXQhaCCEeg8FoICoxiht3bmS8MsLb7asZ76/dvkZCasLDL6jo8HSohFc5L6o4VsHL0Ysj26rwx1wvhr1ZhfGfVWTcF+b4B/LQHri83lI1GLK+Zsa8dg8+qle0VACufAzGZKj4PDw5TuuKhCgx8nXliZJCBk8IUbQpikJ8Sjy3Em8RlRjFrcRb3Eq8xc2Em/x35z9u3LnBfwn/ZQS4/xL+IyohCoXc/+fOhnIk3vCgmosHrRpWxMPOA69yXuz404sFU6vgP8STIH/LB85L701LD2m5CXVZ3VLNze3YYiMiQn0BhO6CqA/BE7CqCZV/hIrVZO1XIXKQl1wiwS4LEuxEcZabkY+Qu9GRBX2tpLQkohOj+fLraBKMMfzv1Wh+XBxNilkMTVtHE52kvtKD2+nwKBKUW6Tob+X4DFt2dOhQEsrjbOtC7crOeJT1oGLZihzb48H6Xz148+WKfPqBB+5l3bG1sH3k0JXbkarZXa/EhbvAQPX2qw74GPBBvWXtD9wCAgI0GI4rRPGh2ZJiQoiC97CwtXUrbNmibmcXFiDrZ7Hub6PX59wuKEghmTiCpkRzTbnFS6+pQSwmKYZf/4zm760xNHk6hjPLozmgi+HspRi+DYrG3C6G6MRokg33pB4dzF2i/okCa7Zk8wPQAXfnRddjieG2Ey5lnahVuTzlbcrjYuvC6VAXtv7lwstdnXnndRdcyrjgbOuMk62TenvUHz68J6ytD8j51qa/P4wdm/seuNzeVi32t1Rza9AgeP55uD4ZohdDCmDzKfzTQz0uvXVC5BvpscuC9NgJreSmhyw9bOXUywMP72m6f19AcDLBk6J4b/hNerx+k5sJ6uu3tTfZvOcmDZpG4VH9FkfP3eJqVDS2TrdI1sVkOfdanhjNsDFzxL2cI+Wsy1HOphwR5x05frAcLRuV49l2juzZ7MSqZeV54xUnhgxUA5yTrRM25jaMHavLc69aXm+XPmoPXInreXscZ36AA++r778FfjgIvr6aliREcSG3Yh+TBDtRkHIKb+3bw6ZND781l5sAERIC/oGpWJSLJNUqklcHRdL2uetExkdmvPafvE54VCTYXQer24/8nazNrbFIK8/tG+XQJZdDSSjHk96OPN1EDWuO1o44WjtSzqYcq35xZN50RywMjqTGlSPw07IE+Js9cM28hK+8BjXIe1h72LVLzW3VR3FtHWztqk5GXOF96PQ9HJRgJ0RuSbB7TBLsREF6WABo18403GXXPjhYIWBiJOYVwkmzvUznVy5Tu+llLsdd5nKs+ue12EgwMz5YRDb0Oj1Otk5UsK2Q+bKpgJOtExMCnTDEO2GeWp5Na8pR3qY85WzKUc66HDYWNkDuw1J+t8tr20cNazmFtCK5qkNREHMU/m4BabfBqx9U/hJmzVJvz8otWCFyRZ6xE0JDufkFHxxs+uxadgEi5Is0Um3D6RsURoXO5xj+dxhh0WGcu3WO8+bnYXgCaXevvU6BdXvu+0AzwGAO8W54OLjiU8MNN7vM1451biz70RWLFFdSY5wZM9qBgOFZ954ZdmQGoS0LH/x+uX22LL/bPUrb3Ezsm9e54orkqg5aS4yELV3VUOfSBprMAr1lKU24QhQSRTwgNjZWAZTY2FitSxHFUHCwooD6Z07707ctLRUFsxTlg6Djyi/HflECNgcoL//ysqJ7v47CGHOFQLJ/+ZspDPVUeLO5Ui+wp/Lx+o+VqbunKr2Clit47FNGBEUoBqMhy5qyqye3dRfUtfLS7nHb5rQ/ICDra6S3DwjI+pi4K/WOoqxtrCiLUJRVNRUlKUrrioQotvKSSyTYZUGCnchJbn7h5xQ2biXcUv4J+0f5avtXilnPngrv1VUYY5F9ePvcSnEOrKN0W9xNGbJ2iPLd3u+U14PWKpQ/o/gHJT9w/dyEl/wMXoUV4nITKB+2X8JaITEaFGXb/9RQ95uTosSd1boiIYq1vOQSuRUrRB49bAqQe2/d+X8RS/BPB0lzOUC9wIPMdziA/4TzmSfVyXxriR0+FeuScrUOh9bX5fXOdRn7UR3mfVOJwAAzGt9z6/CngOxvEbZpk7spNHLTJrfTceTntfIyBUhepwuR26WF5PBouPw7mFlCqz+gbHWtKxKi1JDBE1mQwRPiYc/JbdqkzhV3/3NaI4Ii8Ouxne2XtrMtfBtHIo+C7sF/xcpTjVvHGtGxfiOG9q7PhiV1mRLgSbt2uoeOik2f8kQe0hdF0rnZsG+g+r7ZT+D1mrb1CFECyKjYxyTBTuRm6goA/0mX0dfYhKHiNpx8txPF2QcvFlMFrvrRsZ4fo17zY+PPvowLKJfjqNiNG7OuSUKbKNIiN8DmLqCkQb0AaBCodUVClAgyKlaIx5TV6MeQEPAPSqZf0A7imq5j7bm1MOw46Xf7olCXrHrS7UmsIlux95enGfFKSyZ87ZYR2lrpwNL4aKsNyK1CUaTFnoDtL6mhrvKrUD9A64qEKJWkxy4L0mMn0oWEgP/kS+hrr8HgtQ5L702kcCezgdEMXURjlAtteK3V03w3sjnfTXSUiWpF6ZJ0A9Y3hTsXwbkFtNsAemutqxKixJAeOyFyIafn6IYGn+eY8TdiK/4GQ/dn9MqlAG52brjHd+bQr535pGdHxs0qnxHaaupK0fqfQgCkJcLWF9RQZ1cVWq2QUCeEhiTYiVLr/tGt526d47cTv/Htxl+JIFRdbP4aoOjQXWmBcvpZ3u3YBdc7DQgMNMt2VGpOPXLSUydKFMUIe/pD1B6wcITWa8C6gtZVCVGqSbATpdaYMZCoROO/egkzjPO4xoGMYzrMqEIbLvz5EiO6vciEOZnPyeV2OhEhSqSICJg5U10S7Mb3EL4MdObw9O/gUEvr6oQo9STYiRItq9utBqOBjRc2MvzneZxQ/oCuyVwDMOrhQjuer/4StejOhACXbHvl2rXL+vOkR06UeBEREBQErXUQ8YW6r8kscG2rbV1CCECCnSjh7r3d2vfDS8wJncOCfxdwOe6yulMH9V3qc2LRmxgO9cEyzZmVyWoglF45IbJRG4gYq76vMxqq9de0HCFEJhkVmwUZFVtyKIrC2yE7mHv8G3R1/kDBqB5IdKSJTR9+GNCfNXN8CQjQZSwgL6NWhbhPRIT6Ajj0FxjGgB1QtgN4jAOPiuDurmmJQpRkecklZoVUkxAFKjBQnU4kXXJaMgv/XYjfbD/mKk9DneUoGNFdbAe/LmWMbQR7A6bx14+NCAjQERwMyclqqPP3N72WEKXezJnQqBG0aQSxd0PdOaDHBvBrrB4XQhQJcitWlAjpt1wTlFvYtJ7GD/t/4Pqd6+rBVGsaWbzOv7MHk3a1HpaWEOyf9bxyWU1MLESpN2gQPPcMhL8DSUfhBuAxGfa0UY9Lb50QRYYEO1EivPvxTTYYv+arpO9gy20A7KlI3Ib3GdVxAGV0FTh4lYzbrenLc8lzdELkgqsLnPtADXVm9jAxDla3AV9frSsTQtxHbsWKYuP+260AN+7cYNQ/o6g4sQrb+BKsbkNkA/QrFhMXfIHgZ0ZTRlcho2fu3tut2U1ODOp+WZNViLsOjYDLv4OZJVSarM7vKIQokqTHThQb945wHTTsBhN2TmD6gekkpCYA4I4PP7ziT88nnyc1xQxLS7Wt3G4V4jGc/hZOf62+f2o+WLWBgAC5/SpEESXBThQbY8ZAqpKI/99T+cI4jmTUW65c9aNPpQB+GtOVsWN1pKZk3nLdtElutwrxyC6vgIND1PdPjoMqvdX30p0tRJElt2JFsWBUjPz070/MK1sTOnxKMrfRRfjCz38RVGkfP/s/x9ixugduuW7Zkv015XarEDm4uRd2vQooUH0g1BmldUVCiFyQHjtR5Ny/WsTmC5v5+O+PORR5CAB7xZM7q8ZhONwbSwuzjOlJ5JarEPnkdhhs7QaGRPB4Fvy+B51O66qEELkgwU4UOenP0sUqlwnzHsyKUysAsMKe5H8+xcdmMFsP2cgIVyEKQnIUbHkWkv+Dcj7QYhmYya8KIYoLuRUripzRn6XRKWgKk5Nrs+LUCvQ6PU35gOQJ52hnNYqtG2xkhKsQBcGQBNtegNtnwPYJaP0nWNhpXZUQIg80DXaBgYHodDqTV61atbJtP3v2bFq1akW5cuUoV64cHTp0YN++fSZt3njjjQeu2blz54L+KiKf7LmyB79ZfqxXPgbLO3CpJbqZ/7I38DvaPeX8wGCIMWNktQgh8oVihN394L+dYOEAbf4CWw+tqxJC5JHm/et169Zlw4YNGdvm5tmXtGXLFnr37k3z5s2xtrZm/PjxPPPMMxw/fpyKFStmtOvcuTPz5s3L2LaysiqY4sVjufdZupikGEZvGM3MgzNRULChPB2Viaxd9EbG1CWtWkGbNnK7VYgCcXg0hP8CZhbQ6ndwrKt1RUKIR6B5sDM3N8fNzS1XbRctWmSyPWfOHJYvX87GjRvp27dvxn4rK6tcX1NoJ/1ZunPK32y0e5Ort68C4MMbHJowkfinKphMXfKw261CiEd0djqcnKC+b/ojuLXTth4hxCPT/Bm7s2fP4uHhQdWqVenTpw/h4eG5PjchIYHU1FTKly9vsn/Lli24uLjg7e3Nu+++S1RUVI7XSU5OJi4uzuQlCt6wUXdoHPgeC5VOXL19lZpONemv28KhwHm0e6pCxm3Xe5+lk9utQuSzq3/CgQ/U9/WDwet1besRQjwWnaIoilYfvnbtWuLj4/H29iYiIoKgoCCuXr3KsWPHKFu27EPPf++991i/fj3Hjx/H2toagKVLl2Jra4uXlxdhYWF8+umn2NnZsXv3bvR6fZbXCQwMJCgo6IH9sbGx2NvbP96XFFnadXkX/Vb049ytc+qOPYOx2DaO1ARb2rXLemLhrKY0EUI8oogImB8AXj+DMRGqvglN58i0JkIUQXFxcTg4OOQql2ga7O4XExND5cqVmTJlCm+99VaObb/66ismTJjAli1baNCgQbbtzp8/T7Vq1diwYQPt27fPsk1ycjLJyckZ23FxcXh6ekqwyyf3PkuXnJZM4JZAJuyagFExYk8lXlDms2xce1Lu3nYdPTr7267pU5vIKFchHtOePyG0GzgCbs9Amz/V5+uEEEVOXoKd5s/Y3cvR0ZGaNWty7ty5HNtNmjSJr776ig0bNuQY6gCqVq1KhQoVOHfuXLbBzsrKSgZYFKD0Z+milQtsd+/JgWsHAGhIXw5/9Q1XmztmhDp5lk6IQpASDVcGq6HOqga0+lVCnRAlhObP2N0rPj6esLAw3HNYXHrChAmEhISwbt06/Pz8HnrNK1euEBUVleM1RcEaMwZ6B63k6wRfDlw7QHmb8vTSLedw4ALaNXeUZ+mEKCwREXBgF6xpDykX4BYQ8zYcPQehoepxIUSxpmmP3fDhw+nWrRuVK1fm2rVrBAQEoNfr6d1bXWi6b9++VKxYkXHjxgEwfvx4/P39Wbx4MVWqVCEyMhIAOzs77OzsiI+PJygoiB49euDm5kZYWBgjR46kevXqdOrUSbPvWZqlGlIZvXE0S5TJYANcforbK5ex9OYTWT5LJ8uACVGAZk6H2BBoDNwBJgCX71kDNiBAnnMQopjTNNhduXKF3r17ExUVhbOzMy1btmTPnj04OzsDEB4ejplZZqfi9OnTSUlJ4aWXXjK5TkBAAIGBgej1eo4cOcKCBQuIiYnBw8ODZ555hpCQELnVWkjufZ7ucuxlXvntFXZf2Q1AM4ayd+FXpKZayrx0QhQ2RYE24XAN0FmA/iO4PAlmzwZfX7WN3NkQotjTNNgtXbo0x+Nbtmwx2b548WKO7W1sbFi/fv1jViUeR/rzdBeULayyfomoxCgcrBzokjKPpQEvAvIsnRCaOP4lXFsA6KDFYrhZFZikhrr0YCeEKPaK1DN2ovgbMwaeD5rFvLSORCVG4evuS/+U0IxQJ8/SCaGBsLlw5HP1faNv4ImXcm4vhCi2itSoWFG8pRnTGLZ+GKuU70APHO3N0Qk/EppgA8izdEJo4uqfsG+g+r7OaPD+UH3v7q4+Uye3X4UoUSTYiXwRnRhNz996suG8uu7vF+2+IPDL0aSm6DAzU5+9k2fphChkN/fAjp6gGMCrHzz5ReYxd3cZKCFECSTBTjySewdJnIk6w3OLn+PsrbPYWtjyfNrP/OP/osk6r9mRnjohCkjsKdjSFQyJ4N4Fms6WVSWEKAUk2IlHkj5I4rKyl9+tuxKVGIWnvSfP3V7F9ICGQOat1/SlwECCnBCFIuEabOkMKbegfGOZgFiIUkSCnXgkY8bAGWUts5NfAiWBxh6NaRuxmgkBroA8TyeEZlJiYUsXuHMJytaANmvAvIzWVQkhCokEO/FIFhxewBLeAksDnOvE4Ym/sf+OHW3aQLt28jydEJowJMO27hBzBKzdoO16sHbWuiohRCHSKYqiaF1EUZOXxXZLG0VRmLhrIqM2qLPVv9bgNZa9+iOpSeqkw8nJGhcoRGmlGGFnLwj/FczLQoetUN5H66qEEPkgL7lE5rETDxUYqD4npygKH//9cUaoG95sOFenLcgIdSkpMi+dEJpQFDg4RA11Zhbw9B8S6oQopeRWrHgovR78A4ysNr7PfmYAMKnjJP4a8zGbN6m3XjdulEESQmgiIgJ+eR2cN6rbTy0Et/ba1iSE0IwEO/FQn31uZIVxIPv5ER06fnz+R34e3p9N94Q6kEESQmji1OzMUOf7NVTppW09QghNSbATOTIYDby56k1CWYgOM5TfF/DOl6+RkmIa6tLJIAkhCtHVvyAiWH1fvi/UGqJpOUII7UmwEybunXg4zZhGvxX9WHx0MXqdnv+xiN+Pv0KKQZ14+P5Ql0566oQoYBEREPYXXH4fMMAOwLcFhIaqx93dZakwIUopCXbCRPrEwwYljZN1+vDL8V8wNzOnh7KUZQE9AEwGSkiIE0ID8wPBeRbYAoeAWYBhUObxgABZLkyIUkqCnTAxZgwYFSOBh/uD8gsWZha8rPzG4oDnAVlNQgjNxZ2B6sshFbDxBe+3wPA+zJ4Nvr5qG+mtE6LUkmAnTCiKwvVGH4DyMxj1KL/+xuLjpqEOZKCEEJpIuAKbOkJqFJTzgfab4FiYeszXNzPYCSFKLQl2IoOiKHyy4ROmH5iODh1mq34i7fjzmJmpd3VkNQkhNJR0Uw11CeFQtia0XQeWDlpXJYQoYiTYlWL3DpQAGLdjHBN2TQCg5pmZnD7cO+N5uuxIT50QhSA1DrZ0hrhTYFsJ2v0D1i7qMXd39Zk6uf0qhECCXamWPlACwPGZ7/hs02cAVA+bwunFA2TiYSGKgrRE2Po83DoIVhWg7T9Q5onM4+7uMlBCCJFBgl0plvGc3C9LwDgYAK+LgZz7aahMPCxEUWBMhZ2vwI2t6vqvbdeDQy2tqxJCFGES7Eq5Vq9vQW/shwEw2/cRF/7yl4mHhSgKFCPseQuurga9NbReDeVlcIQQImcS7Eqx4zeO031pdwykYnbyZYxrp2BpqZOJh4XQmqLAwSFw8SfQ6aHlr+DaWuuqhBDFgJnWBYjCERioPiuX7trta3RZ1IXY5FgcYltiXL4QSwuzjImHhRAaOhoEZ75T3z+1ACo+p209QohiQ4JdKZE+UCIkBOKS43h20bNcjruMbYI3sTNW0u5pa5KT1bnq0tsJITRw6hs4FqS+b/QdePXRth4hRLEit2JLiYwBEIGpLDC+RBj/YpniSsKstbRrVl4GSgihtYgIWPweuK9Qt+sHg/cHmpYkhCh+JNiVImPGwBrjMPbyD6SUIWX+n7Tz9ZKBEkIUBWeWgMsK9b33UKj3uablCCGKJwl2pcisg7PYyzR1Y/kiLG/6yUAJIYqCa+vg2iegBxy6ge8k0Om0rkoIUQzJM3Yl0P0DJQC2XdrG+3+9r25sHIvlhRdkoIQQWouIgO0zYGt3UFJhHxDRFQ4dhtBQ9bgQQuSBBLsS6N6BEgAXYy7S45cepBnT4NgrtLX4VAZKCFEULPwUzr4LSjIcBKYBA96BRo3U18yZWlcohChm5FZsCXTvAIhkJZ7VLi9wM+EmXGtE65i5bNqoe6DdvdtCiEJwcw9U+RUMQJnmUPs1MLwHs2eD792JiGX9VyFEHkmwK6HGjAFFUQg43g+UIxDvSvPwFWz5x/aBdiADJYQoVLdCYXNnMNwB17bQeg0cOake8/XNDHZCCJFHEuxKMNsOk0H5HdIsMV/+BzvPV8qynfTUCVGIoo/Apo6QGgvOLdWlwsxttK5KCFFCyDN2JdS2S9sY9c8nAOj/+Ya0C83kWTohtBZ7EjZ1gJRb4NQU2qwB8zLqMXd3CAiQ269CiMciPXYlQGCgOmAivect4nYEXee/ghEDbtdfZ2DnQZh3lWfphNBU3FnY1B6S/4NyvtB2HVjYZx53d1f/ZRZCiMegaY9dYGAgOp3O5FWrVq0cz/n111+pVasW1tbW1K9fn7/++svkuKIo+Pv74+7ujo2NDR06dODs2bMF+TU0d+8o2FRDKs2mvEI8kZS5U4/IOTMw1+sYM0ZGwQqhmfgLsKkdJEaAY31o9zdYOmpdlRCiBNK8x65u3bps2LAhY9vcPPuSdu3aRe/evRk3bhzPPfccixcvpnv37oSGhlKvXj0AJkyYwLfffsuCBQvw8vJizJgxdOrUiRMnTmBtbV3g30cL945uXW/8lEtsR59WljtzlxM8xjbjuAyUEEIDdy7DxnaQcAXsa0G7DWDlpHVVQogSSqcoiqLVhwcGBrJixQoOHz6cq/avvPIKd+7c4c8//8zY99RTT9GwYUNmzJiBoih4eHjw8ccfM3z4cABiY2NxdXVl/vz59OrVK1efExcXh4ODA7Gxsdjb2z/8hCLi1eAVLFFeVDeW/UZw7x5y21UILSVGwD9PQ/w5sKsOHbaCrYfWVQkhipm85BLNB0+cPXsWDw8PqlatSp8+fQgPD8+27e7du+nQoYPJvk6dOrF7924ALly4QGRkpEkbBwcHmjZtmtEmK8nJycTFxZm8ipvLsZdZZ/WmurFrGJZhEuqE0ExEBISMgPWt1VBXpgq03yShTghR4DQNdk2bNmX+/PmsW7eO6dOnc+HCBVq1asXt27ezbB8ZGYmrq6vJPldXVyIjIzOOp+/Lrk1Wxo0bh4ODQ8bL09Pzcb5WgcpquTCD0cBrf7xGdFI0XPXDYts4WS5MCC1dOQkWkyDhLNhWUkNdmaL73xUhRMmhabDr0qULL7/8Mg0aNKBTp0789ddfxMTE8MsvvxRqHaNHjyY2Njbjdfny5UL9/Ly4f7kwgC+3f8m2S9sg2Y6nri4hJdFSBkoIoZWkmxD+LjwB6J2g3Saw89K6KiFEKaH54Il7OTo6UrNmTc6dO5flcTc3N65fv26y7/r167i5uWUcT9/nfs9cUNevX6dhw4bZfq6VlRVWVlaPWX3huH8ZsHb9duK/ORB0UOfCdHavqZ5lO7ktK0QBi4iAy8fh8ruQfA5iAKuP4NxtIFSdzkTmqBNCFDDNn7G7V3x8PGFhYSah7F7NmjVj48aNJvv++ecfmjVrBoCXlxdubm4mbeLi4ti7d29Gm5IgY+qSL6NpOfVV0Blxu/46x5e8lmU7GQUrRCGYMxm2dFRDXTQwFnjbHxo1Ul8zZ2pdoRCiFNC0x2748OF069aNypUrc+3aNQICAtDr9fTu3RuAvn37UrFiRcaNGwfARx99ROvWrZk8eTJdu3Zl6dKlHDhwgFmzZgGg0+kYMmQIY8eOpUaNGhnTnXh4eNC9e3etvmaB+PxzhcDjgzA6hMOt6pz5+vss20lPnRCFIOEa1F8BCYC5C1gPhojPYfbszHVfpbdOCFEINA12V65coXfv3kRFReHs7EzLli3Zs2cPzs7OAISHh2Nmltmp2Lx5cxYvXsznn3/Op59+So0aNVixYkXGHHYAI0eO5M6dOwwcOJCYmBhatmzJunXriu0cdvevKpHupZCfMdb+FQzm8NsSplYoKyFOCC0kXLk7T10Y2HpC+81wNhb4XA116cFOCCEKgabz2BVVRWkeu5AQ9Tm54ODMcDc8+DKTE+uDdSztdV/QWvfpA22EEIXgTjhsbAvx5zOnNLHzgtBQ9fbrwYMS7IQQjy0vuaRIDZ4QD7p/EIRRMTL53JtQLZZKPMW6z0dibmbaRsKdEIUg/qIa6u5cBLuqd6c0qawec3eHgAC5/SqEKHQS7IqBe8Odrsl0eHYDFtiw8YMFmJuZm7SRgRJCFIL487ChLSSE311RYrM6X106d3f1OQohhChkEuyKkOyep0tn5nwWY8cRAEzpMoGaTjVNjktPnRCF4PY5tacu4QqUrak+UycrSgghiogiNd1JaZfV5MNw9zm7wDSMz/cFi0QI60DUuve0KVKI0izuDGxorYY6+9qy9qsQosiRHrsiJKtJhdMHT9BiMnjuwcHKgberzyUwwAwznfTSCVEoIiJg3lio+Ruk3ACHetB+I1i7aF2ZEEKYkGBXxNwb7saOhZQUwOkM5h0DSAOmdp7KGw09cdDJYAkhCs3FHVDuB0gBHBtAuw1g7ax1VUII8QC5FVsEjRkDlpZqqNOZGan84dukkUynap3o92S/jDayqoQQhSBqP4QPAAfAylsd/SqhTghRREmPnYayGywREqKGOr0eDL4zuMR2yliUYeZzM9HpdBntpKdOiAIUEQHnVsHVYWBMgHOAx7tw/BJwSdZ+FUIUSRLsNJQ+WAIyQ1rGM3XAR/7hTFNGkQK0SfuKyo6VNalTiFLp56HgvAwsgWPAFCB5SObxgACZ0kQIUeRIsNPQ/YMl7n0fFKSwp9o7pJyL5wlasCbwPUJksIQQheP8Qqj0GyiAXVuo+jIkvydrvwohijwJdhq7N9ylL4sbHAxeLywi4I+1WOmtWP/OHH41M5Pn6YQoDKe/hYMfqe+rvgFNZsPhI+q2rP0qhCjiJNgVouyeqRszBoKC1IEQlpbw3sdR1Pp+KAD+rf2pVaGW9NQJUdAUBY4Fw9FAddt7CPhOBp2MMRNCFB8S7ApRVs/UAbRvr4Y6vV4dNNFp4ifc5CZ1nesyovkIbYoVojRRjBA6DE5/o27XD4Z6n0P6YCVZ+1UIUUxIsCtEWU1A3L49bNoE7drBxo3wdvBOflTmADDzuZlY6C00qlaIUsKYBnvfhgsL1O1G34L3h6ZtZO1XIUQxIcGukN0b7tJvv6aHulRDKnud34EbwMG32WTWghZyC1aIgmNIgp294MpK0Onhqfng9ZrWVQkhxCOTh0c0kD4Bcfrt140b1f1T90zl2I1jVLCtwCd+X8lgCSEKUupt2PKsGurMrKDVHxLqhBDFnvTYaSB9AuL01SVCQqDvh5cI3BoIwKSOk+jX0EnbIoUoyZJuwj8d4fZh0JeBNn+CaxutqxJCiMcmPXaFLH0C4uBgSE5W//T3h87fDCYhNYHWlVvT98m+WpcpRMl1Owz+aa6GuttApRkS6oQQJYb02BWie0Nd+rN2Y8bAGeUvflZWYYY5P3T9wWTZMCFEPrq5D7Y+B8n/gbkbBEfC6jpaVyWEEPlGgl0hMhhMQx1Acloye8sNgVvQVBlCHWf5JSNEgbiyCna8AsYksPKG6Lfh2ggIDc1sI+u/CiGKOZ2iKIrWRRQ1cXFxODg4EBsbi729fYF+1vgd4/lk4ye42blx+oPT2FsV7OcJUSqd+R4ODlbnqzsMfAskZ9FO1n8VQhRBeckl0mOnoWu3rxGyLQSA8R3GS6gTIr8pRjg8Gk5OULfdXwXvj6CXudpTN2CArP8qhChRJNhpaOQ/I7mTeodmlZrxWgOZZkGIfGVIgt1vQPgydfvJL6DO6MzVJNLJ+q9CiBJEgp1GdobvZNHRRejQ8V2X7zCT9SiFyD/Jt2D7i3BjG+jM4am54PW61lUJIUSBk2CnAYPRwAdrPwDgbd+3aeTRSOOKhChB4i/Cli4Qdwos7KHV7+DW/sF2sv6rEKIEkmCngRP/neB89HkcrR35ot0XWpcjRMlx6yBs6QpJ18G2ErT5CxzrZ91W1n8VQpRAEuw0UN+1Pmc+OMPRG0dxLuOsdTlClAxX/1SnMzEkgGMDNdTZVtS6KiGEKFQS7DTiaueKq52r1mUIUfwpCpycCIc/ARQo9zR0WK3ehhVCiFJGntgXQhRfhiTY3RcOjwIU2Ai4TJBQJ4QotSTYCSGKp4RrsKE1XPwZdHpwHQVzAZ2F1pUJIYRm5FasEKL4ubkPtneHxAgwc4CKX8Hpu/85kyXChBClmAQ7IUTxcuFn2Ps2GJMh2Rk++Q9uvJt5fMCAzPeyRJgQopSRYCeEKB6MBvj308zlwSp2g6qTYG28ui1LhAkhhAQ7IUQxkBILu16Fa3+p23U/hQYhoDMDz/vayhJhQohSrMgMnvjqq6/Q6XQMGTIk2zZt2rRBp9M98OratWtGmzfeeOOB4507dy6EbyCEKBC3z8HfzdRQp7eG5ovVdV9lGT4hhHhAkeix279/PzNnzqRBgwY5tvv9999JSUnJ2I6KiuLJJ5/k5ZdfNmnXuXNn5s2bl7FtZWWVvwULIQrHtfWwqzekRINNRXh6BTj5Zd1WlggTQgjtg118fDx9+vRh9uzZjB07Nse25cuXN9leunQptra2DwQ7Kysr3Nzc8r1WIUQhMRrgWBAcGwsoYN8I2q8GmxxCmywRJoQQ2t+Kff/99+natSsdOnTI87k//vgjvXr1okyZMib7t2zZgouLC97e3rz77rtERUXleJ3k5GTi4uJMXkIIjSTdgM2d4FgIoMAGwO27nEOdEEIIQONgt3TpUkJDQxk3blyez923bx/Hjh3j7bffNtnfuXNnFi5cyMaNGxk/fjxbt26lS5cuGAyGbK81btw4HBwcMl6envc/jS2EKBQ3tsPahnB9I5iXAfexMA8wk8cphBAiNzS7FXv58mU++ugj/vnnH6ytrfN8/o8//kj9+vVp0qSJyf5evXplvK9fvz4NGjSgWrVqbNmyhfbt22d5rdGjRzNs2LCM7bi4OAl3QhSm9PVe//0UFANYekHFiXA8Wj0ukw4LIUSuaBbsDh48yI0bN/C9Z1oCg8HAtm3bmDZtGsnJyej1+izPvXPnDkuXLiU4OPihn1O1alUqVKjAuXPnsg12VlZWMsBCCK2kRMPuN+DqKnU7rj4MOQrJL2W2kUmHhRAiVzQLdu3bt+fo0aMm+/r370+tWrUYNWpUtqEO4NdffyU5OZnXXnvtoZ9z5coVoqKicJf/wxei6Ll1ELa/BHcugpklNPoWynSDJpHqcZl0WAgh8kSzYFe2bFnq1atnsq9MmTI4OTll7O/bty8VK1Z84Bm8H3/8ke7du+Pk5GSyPz4+nqCgIHr06IGbmxthYWGMHDmS6tWr06lTp4L9QkKI3FMUODcDDg4BYwqU8YJWv0H5u+HNw8O0vUw6LIQQuaL5dCc5CQ8Px8zMdHzH6dOn2bFjB3///fcD7fV6PUeOHGHBggXExMTg4eHBM888Q0hIiNxqFaKoSImB/e/CpaXqdqUX4Kn5YOmoYVFCCFEy6BRFUbQuoqiJi4vDwcGB2NhY7O3ttS5HiJLj+hbY3RcSLoOig+qfQ5Mg0Omybh8RATNnwqBBcgtWCFFq5SWXaD6PnRCiFDAkw6FRsLGdGuosKkGgAhbdsw91kDnpsIQ6IYTIlSJ9K1YIUQLEnoBdfSD6sLpd7W3Q94NzrTQtSwghSiIJdkKIgqEocGYaHB4JhiSwKAcun4FF28x56WR+OiGEyFcS7IQQ+S8xAvb0h4j16rZ7Z9hRB3oON20n89MJIUS+kmAnhMhfl/+AfQMgOQr01uAzCWq8B7UioWsftY3MTyeEEAVCgp0QIn+kREPoMDg/X90u5wPNF4FDbXU7q1utMj+dEELkKwl2QojHoyhweTkc+ACSroMCVP4Amk0GvaXW1QkhRKki050IIR5dwlXY/iLseFkNdZZVIBiw7Z9zqHN3V5+pk9uvQgiRr6THTgiRd4oRwubAoRGQGgc6c6g7GlKehTPNHn5++vx0Qggh8pUEOyFE3sSdgX0D4cZWdbusDziNgrQacFimMRFCCC1JsBNC5I4xFU5OhqOBYEwGvS08+QUsvQVBvUzbyjQmQgihCQl2QoiHu7kX9r+TuXqE2zPQZCbYVYFBEfB8d3W/TGMihBCakmAnhMheYgQc/gQuLFS3DTZQ7yto+GHmGq8yjYkQQhQZMipWCPEgQzKcGA+ra2aGOodu8EEiKC0zQ50QQogiRXrshBCZFAWu/qlONBx/Tt3n1BQafQvh5hC3OufzZRoTIYTQlAQ7IYQq9hSEDoWIdeq2tRt4jQZjcwg3yxzpmtOIV5nGRAghNCXBTojS7vJpWPkGOB0AJQ3MLMB7KNT7HL6YDEGNTdvLiFchhCiyJNgJUVqlJcCZaXDkCygfpy4F5vEc+E4B+xpqm0GD4Pnn1fcy4lUIIYo8CXZClDaGFAibDcfGQlKkuu8q0PRbePpD07Yy4lUIIYoVCXZClBbGNLj4MxwNgjsX1X0WHhDfCUbNg1k2YHf3+TlZLUIIIYolCXZClGQRETBzBrxYCS5PgbhT6v40O/gpHjZfA8M8dd/Dnp2TEa9CCFHkSbAToqRSjHBmCVgEw/G7+yzLQ51PwP5/UC9W3ZfbZ+dkxKsQQhR5Euy0cjQYbCupc4TZ1wIzvdYViZLCkAwXF8HJiWoPnRdgVgbqDIdaQ8HSQW1X6b7z5Nk5IYQo9iTYaSHtDhwLBsWgbpuXBSc/NeQ5t4AKzcGqvLY1iuInJRbOzYITUyDl7qAIxQZWJ0KHEEhrDcfC5Pk5IYQowSTYacGQDLU+hqi9cOsApN2G65vVVzr72mrIc3kaXFpDmSe0q1cUXRERMGcStE2GiJ8gNU7dfwtYC2xOhERg2bDMc+5/fk6enRNCiBJDpyiKonURRU1cXBwODg7ExsZib29fsB9mNEDcCbi5F6L2wH87IO70g+3KVFYDnksbcG0LdlUKti5R9N0Khd3BcHMlWNzdZ18bPAaC0gx0Ftk/PychTgghio285BLpsdNKRATMnKlOAOteHxIrwM9XYNBmKGcBZ/+ErbOhciLEH4E7l9TF2NMXZC9TRQ14rm3BtR3YVtT064gCYPLPyN0glhoPl5bCuZlqby+ooc7mSWgcAhW7gs7swWvJ83NCCFEqZPEbQBSKiAgIClL/vH/bugKkNoAPd0HFOfBSDLRdD05vwhkAvToP2fl5sLsvrKgEf9aC/e/Dv3MgeJTpdQMDM7ez2yeKnnv/mYj+F/a/B394wL4BaqjTWUBaEwgEoj6AGxXh0GH5exVCiFJMgl1xYGEH7s+A8/sQBNTcAm3WQvm+EAagU2/fnv0Bjg+AqhNgVzs4NBLOLoevgh4MdkFZ7MtNAMxLUJRQ+XA5/TwMd+Bp4GI/WNsQzk5Xn8dMKQ+LgIGp0G8fnEW93dqokfqaOTPzGvL8nBBClCpyK7YwRURk/gIPvTvD/x9/wMmTcOpU1tubNqnb6ecDHD4FZr4Q9Qz4L4R9m8AtBq5vgotrIOU8JJ+Ck3evMQu49DaYPw9u7cBomXVtQUHquqDpIeBx9j1K2/tvO+a0v7h4WP33/zyunIew3yFuPcRtg0FA0jFAD2XbQrWB4NgcGlxXz3/YHHQy95wQQpQqEuwK08yZ6i/xe40dm/P2iBEPXufeFQIAth64+8u8KUQ8AV+MgE9fAI9oSDsMFnGQeAiOHYJjQWC0gE+AIyGQ8DzY1IGbMY/33R5XXsJh+v7sAlN+h8HH+azs6r+XHojfCbu/gXNLQZ+i7tcBEcBWYKsB4jZAQAsIfBk87numUp6hE0IIgQS7wjVokPoLHjJ7Wj7/HGrVUnvoxo59cHviRNPerqyCXlb7Rq7MfO8C1AXq3P3TIRXqA6yA8BWQBEQ7wwvAjjlwsjFgmdlDmFWvYVb7QkPhv//g5k2oUAEuX865bbpHCV85Bab8DoOP8lkPq/3qeUg4CBeWw/fAlcHqMT1g5gyOneFqZRg+Vu2NC8xhRQghhBDiLgl2hSmraSZefFHtaQkNVYPc/dvt2mX2xKSHoZ9/htq1M8NhVuHv/oA4Ir2NAjcOw1+Tob07OEZAWcD9P+gJMB1Sp6vP7p0CngQCRkDCfd8lNz2JuW07cCA0bpz5HbMKh48bBCH/A1pOn3N/gA0NhZTLcGcXnPkFbC6CJeqIVgsgFtgL7AZ6vwuBQXfPHZtzb5w8QyeEEOIeEuyKo9q1TX/RZxX+cgyIdWDoZPh4HlRwUp/JO/0HhC6FxnZgEQ+1UF/pFA+gBsS6wJe/wpDx4H73dmB6mJw9Gzw9TUNZdsFz9mzYvx9mzcp8QfbhMKcgCGoYBHB2Ng1T6fIafLILZ7n5rEWLYMoUsAZqAK8BMQPg/N3jd1f0wtwVEr1h4jYYMgMGN4bBeaxVnqETQghxjyIT7L766itGjx7NRx99xNSpU7NsM3/+fPr372+yz8rKiqSkpIxtRVEICAhg9uzZxMTE0KJFC6ZPn06NGjUKsvy8u7+n5WHb2e17HM7Od8OeH1hVh/5L4cAWqGEP/22Dkyvg9J/gDuiuAdfAEZgA6AKhgh84NYaKFcAV8GkIjfwyr58edrIKnr6+0LWreuszfX/6IICswmFeg+D9x/IaBmfOzPyMrK6X1WeVA7yBVxrCb96QfBYw3tNID7YNwb0LePcChzpw6BAcbwS+jR/slZPeOCGEEHlUJILd/v37mTlzJg0aNHhoW3t7e06fzlyZQafTmRyfMGEC3377LQsWLMDLy4sxY8bQqVMnTpw4gbW1db7X/sju72l52HZ2bR4W/vIaEHU6sK+hvmJ9oNufsHcDeCTAzd1w4W+IPgjWifDfdvUFMAU42xqingTHBlDuSUiwAtuH/Azur+H+2465CYK+vg+GtPwKg4MGZf1ZxliwuwVhW2DfMmjuBGZRd088DMl331p4wD/X4NUJ0HwgWDqQa9IbJ4QQIo80D3bx8fH06dOH2bNnM/b+EaFZ0Ol0uLm5ZXlMURSmTp3K559/zgsvvADAwoULcXV1ZcWKFfTq1Stfa9dcbsPfw9qk78suAHrWUd9X6gauH8LM6fBaezC7CFH74fpuiPkXuBv+bu7OvMZs4HxnuFUH7L0BD5jwKtjHQ1oCmOeU/LL4vg8Lgvcfe5QwmH49NzcobwmJx6EFUGk7xP4GCUcgMQKiUZ+TawkQpa744NhQXePXuaX656nr0LMRvNM+61AnvXJCCCHykebB7v3336dr16506NAhV8EuPj6eypUrYzQa8fX15csvv6Ru3boAXLhwgcjISDp06JDR3sHBgaZNm7J79+5sg11ycjLJyckZ23FxcY/5rYqhvATAwOC7G62haj/1rTENbp9VV0iI+ffun0cg8Sqk/Ac3tqovgIrAvsWwD7B2UZdH07vCd80gdQVcOA7WruqrvB4Cxjx68MkuDDasD8lRkHwTkv+DuCjoDFTcCLdXw50LcO4CpMWr57wH3Fpoeh27asATsGAzDPkennodLMre9/lmOQc36ZUTQgiRjzQNdkuXLiU0NJT9+/fnqr23tzdz586lQYMGxMbGMmnSJJo3b87x48epVKkSkZGRALi6upqc5+rqmnEsK+PGjSPo/vnlRN6YmYNDbfXFPQE6NQ7izkDcKXV1jLhTcPsMxF9QV1FIuqG+AMoDYbvvrqZxj5rAtslqaDIvCxb2oFjBzBpwczRsKwM6feYr6f/t3XlQVFfaBvCnm6UBBQRFWVVAJRIQXEAZjE27hBmV0syCUVwmER0NlgOUOGRMhrhEpmI0E5fEJGWIqUFxSUylBsLIMIAsihEbCtAQDUFMFCwJu2zS5/uDsT9bFgVpGtrnV3UL+vS55773rS7uy+lzu1uBDz2Au9uANAG0N3dsDdXAXgDfy4HvGjqfwyoA1QkdM3EPMx4D1JgAE+cCDn7ACE/A0qPjG0Fu3wYufwRMeKlzUQewcCMiogElEUIIXRz45s2bmDFjBlJSUtRr6wICAuDt7d3tzROPamtrw+TJk7F8+XLs3LkTOTk58Pf3x61bt2D30AxJcHAwJBIJTpw40eU4Xc3YOTk5oba2FhYWFn0/SeqeEEBbDdB4A2go6/ju23s3gebK/9+aKjpm1KCtl6gEkI0EZKMAiQXwUwPgLgdsPYFhzh0zicPGAYamWjo+ERHR49XV1cHS0vKJ6hKdzdjl5eXhzp07mPbQ+qj29nacO3cOBw8eREtLCwwMDHocw8jICFOnTsX169cBQL32rrKyUqOwq6yshLe3d7fjyGQyyGSypzgb6jWJBDC26tisvLvvp7oPtFZ3zO61PdjqOh7fbwBEe8em+t9PqDp+Sow6CjKpCWDw8GbWUciZ2ABGIwBpz68xIiKioURnhd28efNQWFio0fbKK6/gueeew1/+8pfHFnVARyFYWFiIhQsXAgCcnZ1ha2uL1NRUdSFXV1eH3NxcbNy4sd/PgQaA1LCjCIONriMhIiIa9HRW2Jmbm8PDw0OjbdiwYRg5cqS6ffXq1XBwcEBsbCwAYMeOHZg1axYmTJiAmpoa7NmzBzdu3EBoaCiAjjtmw8PDsWvXLkycOFH9cSf29vZYunTpgJ4fERER0UDT+V2xPSkvL4dUKlU/rq6uxrp161BRUQErKytMnz4dOTk5cHd3V/fZunUrGhsbsX79etTU1GD27NlITk4eXJ9hR0RERKQFOrt5YjDrzSJFIiIiIm3qTV0i7fFZIiIiIhoyWNgRERER6QkWdkRERER6goUdERERkZ5gYUdERESkJ1jYEREREekJFnZEREREeoKFHREREZGeYGFHREREpCdY2BERERHpCRZ2RERERHqChR0RERGRnjDUdQCDkRACQMeX7hIRERHp0oN65EF90hMWdl2or68HADg5Oek4EiIiIqIO9fX1sLS07LGPRDxJ+feMUalUuHXrFszNzSGRSPp9/Lq6Ojg5OeHmzZuwsLDo9/GfBcxh/2Aenx5z2D+Yx6fHHD69wZpDIQTq6+thb28PqbTnVXScseuCVCqFo6Oj1o9jYWExqF44QxFz2D+Yx6fHHPYP5vHpMYdPbzDm8HEzdQ/w5gkiIiIiPcHCjoiIiEhPsLDTAZlMhpiYGMhkMl2HMmQxh/2DeXx6zGH/YB6fHnP49PQhh7x5goiIiEhPcMaOiIiISE+wsCMiIiLSEyzsiIiIiPQECzstOXToEMaPHw8TExPMnDkTFy9e7LH/P/7xD7i5ucHU1BROTk6IiIhAc3PzAEU7+Jw7dw5BQUGwt7eHRCLBV1999dh90tPTMW3aNMhkMkyYMAGfffaZ1uMczHqbwy+//BILFiyAjY0NLCws4Ofnh3//+98DE+wg1pfX4gPZ2dkwNDSEt7e31uIbCvqSw5aWFmzbtg3jxo2DTCbD+PHj8emnn2o/2EGqLzmMj4+Hl5cXzMzMYGdnh1dffRVVVVXaD3aQio2NhY+PD8zNzTF69GgsXboUJSUlj93v1KlTeO6552BiYgJPT08kJSUNQLR9x8JOC06cOIHIyEjExMTg8uXL8PLyQmBgIO7cudNl/2PHjiE6OhoxMTG4evUqjhw5ghMnTuCvf/3rAEc+eDQ2NsLLywuHDh16ov4//vgjFi1aBIVCgfz8fISHhyM0NPSZLkx6m8Nz585hwYIFSEpKQl5eHhQKBYKCgqBUKrUc6eDW2zw+UFNTg9WrV2PevHlaimzo6EsOg4ODkZqaiiNHjqCkpATHjx+Hm5ubFqMc3Hqbw+zsbKxevRpr165FcXExTp06hYsXL2LdunVajnTwysjIQFhYGC5cuICUlBS0tbXhxRdfRGNjY7f75OTkYPny5Vi7di2USiWWLl2KpUuXoqioaAAj7yVB/c7X11eEhYWpH7e3twt7e3sRGxvbZf+wsDAxd+5cjbbIyEjh7++v1TiHCgDizJkzPfbZunWreP755zXali1bJgIDA7UY2dDxJDnsiru7u9i+fXv/BzRE9SaPy5YtE2+88YaIiYkRXl5eWo1rKHmSHH7zzTfC0tJSVFVVDUxQQ8yT5HDPnj3CxcVFo23//v3CwcFBi5ENLXfu3BEAREZGRrd9goODxaJFizTaZs6cKf70pz9pO7w+44xdP2ttbUVeXh7mz5+vbpNKpZg/fz7Onz/f5T6/+tWvkJeXp367trS0FElJSVi4cOGAxKwPzp8/r5FzAAgMDOw25/R4KpUK9fX1sLa21nUoQ05cXBxKS0sRExOj61CGpK+//hozZszAO++8AwcHB0yaNAlbtmxBU1OTrkMbMvz8/HDz5k0kJSVBCIHKykqcPn2a15WH1NbWAkCPf+OG4rWF3xXbz+7evYv29naMGTNGo33MmDH47rvvutxnxYoVuHv3LmbPng0hBO7fv48NGzY802/F9lZFRUWXOa+rq0NTUxNMTU11FNnQ9e6776KhoQHBwcG6DmVIuXbtGqKjo5GZmQlDQ/6J7YvS0lJkZWXBxMQEZ86cwd27d/Haa6+hqqoKcXFxug5vSPD390d8fDyWLVuG5uZm3L9/H0FBQb1eUqCvVCoVwsPD4e/vDw8Pj277dXdtqaio0HaIfcYZu0EgPT0du3fvxgcffIDLly/jyy+/RGJiInbu3Knr0OgZdezYMWzfvh0nT57E6NGjdR3OkNHe3o4VK1Zg+/btmDRpkq7DGbJUKhUkEgni4+Ph6+uLhQsXYt++fTh69Chn7Z7QlStX8Oc//xl/+9vfkJeXh+TkZJSVlWHDhg26Dm1QCAsLQ1FRERISEnQdSr/jv5P9bNSoUTAwMEBlZaVGe2VlJWxtbbvc580338SqVasQGhoKAPD09ERjYyPWr1+Pbdu2QSpl/f04tra2XebcwsKCs3W9lJCQgNDQUJw6darTWxDUs/r6ely6dAlKpRKbNm0C0FGkCCFgaGiIs2fPYu7cuTqOcvCzs7ODg4MDLC0t1W2TJ0+GEAI//fQTJk6cqMPohobY2Fj4+/sjKioKADBlyhQMGzYML7zwAnbt2gU7OzsdR6g7mzZtwr/+9S+cO3cOjo6OPfbt7trS3fV8MGDF0M+MjY0xffp0pKamqttUKhVSU1Ph5+fX5T737t3rVLwZGBgAAAS/8e2J+Pn5aeQcAFJSUrrNOXXt+PHjeOWVV3D8+HEsWrRI1+EMORYWFigsLER+fr5627BhA9zc3JCfn4+ZM2fqOsQhwd/fH7du3UJDQ4O67fvvv4dUKn3shZg68LrSmRACmzZtwpkzZ/Df//4Xzs7Oj91nSF5bdHjjht5KSEgQMplMfPbZZ+LKlSti/fr1YsSIEaKiokIIIcSqVatEdHS0un9MTIwwNzcXx48fF6WlpeLs2bPC1dVVBAcH6+oUdK6+vl4olUqhVCoFALFv3z6hVCrFjRs3hBBCREdHi1WrVqn7l5aWCjMzMxEVFSWuXr0qDh06JAwMDERycrKuTkHnepvD+Ph4YWhoKA4dOiRu376t3mpqanR1CoNCb/P4KN4V2/sc1tfXC0dHR/H73/9eFBcXi4yMDDFx4kQRGhqqq1PQud7mMC4uThgaGooPPvhA/PDDDyIrK0vMmDFD+Pr66uoUdG7jxo3C0tJSpKena/yNu3fvnrrPo9fn7OxsYWhoKN59911x9epVERMTI4yMjERhYaEuTuGJsLDTkgMHDoixY8cKY2Nj4evrKy5cuKB+Ti6XizVr1qgft7W1ibfeeku4uroKExMT4eTkJF577TVRXV098IEPEmlpaQJAp+1B3tasWSPkcnmnfby9vYWxsbFwcXERcXFxAx73YNLbHMrl8h77P6v68lp8GAu7vuXw6tWrYv78+cLU1FQ4OjqKyMhIjQvws6YvOdy/f79wd3cXpqamws7OToSEhIiffvpp4IMfJLrKHwCNa8Wj12chhDh58qSYNGmSMDY2Fs8//7xITEwc2MB7SSLEMzonS0RERKRnuMaOiIiISE+wsCMiIiLSEyzsiIiIiPQECzsiIiIiPcHCjoiIiEhPsLAjIiIi0hMs7IiIiIj0BAs7IiIiIj3Bwo6IiIhIT7CwIyIiItITLOyIiP4nICAA4eHhug5Dra/xVFVVYfTo0SgrK+v3mB718ssvY+/evVo/DhE9GRZ2RDSgDh8+DHNzc9y/f1/d1tDQACMjIwQEBGj0TU9Ph0QiwQ8//DDAUQ6s/i4o3377bSxZsgTjx4/vtzG788Ybb+Dtt99GbW2t1o9FRI/Hwo6IBpRCoUBDQwMuXbqkbsvMzIStrS1yc3PR3Nysbk9LS8PYsWPh6uqqi1CHpHv37uHIkSNYu3btgBzPw8MDrq6u+Oc//zkgxyOinrGwI6IB5ebmBjs7O6Snp6vb0tPTsWTJEjg7O+PChQsa7QqFAgCQnJyM2bNnY8SIERg5ciQWL16sMZP38ccfw97eHiqVSuN4S5YswauvvgoAUKlUiI2NhbOzM0xNTeHl5YXTp093G+uT9A8ICMDmzZuxdetWWFtbw9bWFm+99ZZGn/r6eoSEhGDYsGGws7PDe++9p56l++Mf/4iMjAy8//77kEgkkEgkGm+hqlSqHsd+VFJSEmQyGWbNmqXRnpWVBSMjI43CuaysDBKJBDdu3FD//sUXX2DOnDkwNTWFj48PysvLkZmZiVmzZsHMzAzz5s1DTU2NxthBQUFISEjoMS4iGhgs7IhowCkUCqSlpakfp6WlISAgAHK5XN3e1NSE3NxcdWHX2NiIyMhIXLp0CampqZBKpXjppZfUhdwf/vAHVFVVaYz7yy+/IDk5GSEhIQCA2NhYfP755zh8+DCKi4sRERGBlStXIiMjo8s4n7T/0aNHMWzYMOTm5uKdd97Bjh07kJKSon4+MjIS2dnZ+Prrr5GSkoLMzExcvnwZAPD+++/Dz88P69atw+3bt3H79m04OTk98diPyszMxPTp0zu15+fnY/LkyTAxMVG3KZVKWFlZYdy4cSgoKAAAfPjhh9i9ezdycnJQWVmJlStX4u9//zsOHjyItLQ0FBQUIC4uTmNsX19fXLx4ES0tLd3GRUQDw1DXARDRs0ehUCA8PBz3799HU1MTlEol5HI52tracPjwYQDA+fPn0dLSoi7sfve732mM8emnn8LGxgZXrlyBh4cHrKys8Jvf/AbHjh3DvHnzAACnT5/GqFGjoFAo0NLSgt27d+M///kP/Pz8AAAuLi7IysrCRx99BLlcrjF+b/pPmTIFMTExAICJEyfi4MGDSE1NxYIFC1BfX4+jR49qxBUXFwd7e3sAgKWlJYyNjWFmZgZbW9tOuepp7K7cuHFDPfbDCgoKMHXqVI22/Px8eHl5qX+3trbGiRMnMHLkSACAXC5HVlYWiouLYWZmBgDw8fFBRUWFxjj29vZobW1FRUUFxo0b12VcRDQwOGNHRAMuICAAjY2N+Pbbb5GZmYlJkybBxsYGcrlcvc4uPT0dLi4uGDt2LADg2rVrWL58OVxcXGBhYaG+MaC8vFw9bkhICL744gv1zFF8fDxefvllSKVSXL9+Hffu3cOCBQswfPhw9fb55593eXNGb/pPmTJF47GdnR3u3LkDACgtLUVbWxt8fX3Vz1taWsLNze2JctXT2F1pamrSmJV7ID8/H97e3hptSqVS3VZQUICXXnpJXdQBHbldtmyZuqh70Obs7KwxjqmpKYCO9X1EpFucsSOiATdhwgQ4OjoiLS0N1dXV6tkve3t7ODk5IScnB2lpaZg7d656n6CgIIwbNw6ffPKJei2dh4cHWltbNfoIIZCYmAgfHx9kZmbivffeA9Bx5y0AJCYmwsHBQSMemUzWKcbe9DcyMtJ4LJFIOq3166vejj1q1ChUV1drtLW3t6OoqKjTjN3ly5fVM6H5+fl4/fXXNZ4vKChARESE+nFzczNKSkrUs3wP/PLLLwAAGxubJzwrItIWFnZEpBMKhQLp6emorq5GVFSUun3OnDn45ptvcPHiRWzcuBFAx+eylZSU4JNPPsELL7wAoONmgEeZmJjgt7/9LeLj43H9+nW4ublh2rRpAAB3d3fIZDKUl5d3etu1K73t3x0XFxcYGRnh22+/Vc8+1tbW4vvvv8ecOXMAAMbGxmhvb+/zMR42derUTneolpSUoLm5WeMt2vPnz+Pnn3+Gt7c36urqUFZWplH4/fjjj6itrdVoKywshBACnp6eGuMXFRXB0dERo0aN6pdzIKK+Y2FHRDqhUCgQFhaGtrY2jcJJLpdj06ZNaG1tVa+vs7KywsiRI/Hxxx/Dzs4O5eXliI6O7nLckJAQLF68GMXFxVi5cqW63dzcHFu2bEFERARUKhVmz56N2tpaZGdnw8LCAmvWrNEYp7f9u2Nubo41a9YgKioK1tbWGD16NGJiYiCVSiGRSAAA48ePR25uLsrKyjB8+HBYW1tDKu3bSpnAwEC8/vrrqK6uhpWVFYCO2TgAOHDgADZv3ozr169j8+bNAIDW1lYUFBTAwMAAHh4e6nEerLl7eM1cfn4+XF1dMXz4cI1jZmZm4sUXX+xTvETUv7jGjoh0QqFQoKmpCRMmTMCYMWPU7XK5HPX19eqPRQEAqVSKhIQE5OXlwcPDAxEREdizZ0+X486dOxfW1tYoKSnBihUrNJ7buXMn3nzzTcTGxmLy5Mn49a9/jcTExE5rxvravzv79u2Dn58fFi9ejPnz58Pf31/jDtUtW7bAwMAA7u7usLGx0Vg32Fuenp6YNm0aTp48qW7Lz89HYGAgSktL4enpiW3btmH79u2wsLDA/v37UVBQADc3N421eV3dbFFQUNDpbdjm5mZ89dVXWLduXZ9jJqL+IxFCCF0HQUT0LGlsbISDgwP27t2rlQ8STkxMRFRUFIqKiiCVShEYGAgfHx/s2rWr34/14Ycf4syZMzh79my/j01Evce3YomItEypVOK7776Dr68vamtrsWPHDgAdH56sDYsWLcK1a9fw888/w8nJCQUFBeoPae5vRkZGOHDggFbGJqLe44wdEZGWKZVKhIaGoqSkBMbGxpg+fTr27dvX6SYEbaioqICdnR2Ki4vh7u6u9eMRkW6xsCMiIiLSE7x5goiIiEhPsLAjIiIi0hMs7IiIiIj0BAs7IiIiIj3Bwo6IiIhIT7CwIyIiItITLOyIiIiI9AQLOyIiIiI9wcKOiIiISE+wsCMiIiLSEyzsiIiIiPTE/wHORLZCNvuRqgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fitter.plot(Cr)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "22049a80",
   "metadata": {},
   "source": [
    "Next, we define the metagrating structures. The `N` unit cells can be defined by using a simple for loop."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "138dc69a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# define the nanostrips that make up the unit cells\n",
    "grating = []\n",
    "for i in range(N):\n",
    "    geo = td.Box(center=(-s / 2 + i * p - (N - 1) * p / 2, 0, t1 / 2), size=(w1, td.inf, t1))\n",
    "    grating.append(td.Structure(geometry=geo, medium=Ge))\n",
    "\n",
    "    geo = td.Box(center=(s / 2 + i * p - (N - 1) * p / 2, 0, t2 / 2), size=(w1, td.inf, t2))\n",
    "    grating.append(td.Structure(geometry=geo, medium=Ge))\n",
    "\n",
    "    geo = td.Box(center=(s / 2 + i * p - (N - 1) * p / 2, 0, t2 + t3 / 2), size=(w1, td.inf, t3))\n",
    "    grating.append(td.Structure(geometry=geo, medium=Cr))\n",
    "\n",
    "# define the substrate\n",
    "substrate_geo = td.Box.from_bounds(\n",
    "    rmin=(-inf_eff, -inf_eff, -inf_eff), rmax=(inf_eff, inf_eff, -t_au)\n",
    ")\n",
    "substrate = td.Structure(geometry=substrate_geo, medium=SiO2)\n",
    "\n",
    "# define the gold film\n",
    "gold_film_geo = td.Box(center=(0, 0, -t_au / 2), size=(inf_eff, inf_eff, t_au))\n",
    "gold_film = td.Structure(geometry=gold_film_geo, medium=Au)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d2b091e5",
   "metadata": {},
   "source": [
    "For excitation, we define a [GaussianBeam](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.GaussianBeam.html) incident on the metagrating. The `waist_radius` is set to five grating periods to ensure the entire grating array is covered by the beam. \n",
    "\n",
    "To visualize the SPP propagation, a [FieldMonitor](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FieldMonitor.html) is defined. Two [FluxMonitors](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FluxMonitor.html) are defined to measure the power transmissions of the SPP to the left and right. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ff030f3f",
   "metadata": {},
   "outputs": [],
   "source": [
    "gaussian_beam = td.GaussianBeam(\n",
    "    size=(td.inf, td.inf, 0),\n",
    "    center=(0, 0, 5 * lda0),\n",
    "    source_time=td.GaussianPulse(freq0=freq0, fwidth=freq0 / 10),\n",
    "    direction=\"-\",\n",
    "    waist_radius=5 * p,\n",
    ")\n",
    "\n",
    "field_monitor = td.FieldMonitor(\n",
    "    size=(td.inf, 0, td.inf), freqs=[freq0], interval_space=(2, 1, 2), name=\"field\"\n",
    ")\n",
    "\n",
    "flux_monitor_right = td.FluxMonitor(\n",
    "    center=(23 * p, 0, 0),\n",
    "    size=(0, td.inf, 2 * lda0),\n",
    "    freqs=[freq0],\n",
    "    name=\"flux_right\",\n",
    ")\n",
    "\n",
    "flux_monitor_left = td.FluxMonitor(\n",
    "    center=(-23 * p, 0, 0),\n",
    "    size=(0, td.inf, 2 * lda0),\n",
    "    freqs=[freq0],\n",
    "    name=\"flux_left\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c6304d09",
   "metadata": {},
   "source": [
    "Define the Tidy3D [Simulation](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.Simulation.html). The simulation is 2D so periodic boundary condition is applied to the direction with zero size (the $y$ direction in this case)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "cca3cd88",
   "metadata": {},
   "outputs": [],
   "source": [
    "# simulation domain size\n",
    "Lx = 50 * p\n",
    "Ly = 0\n",
    "Lz = 7 * lda0\n",
    "\n",
    "# simulation run time\n",
    "run_time = 5e-13\n",
    "\n",
    "# define simulation\n",
    "sim = td.Simulation(\n",
    "    center=(0, 0, 2 * lda0),\n",
    "    size=(Lx, Ly, Lz),\n",
    "    grid_spec=td.GridSpec.auto(min_steps_per_wvl=30, wavelength=lda0),\n",
    "    structures=grating + [substrate, gold_film],\n",
    "    sources=[gaussian_beam],\n",
    "    monitors=[field_monitor, flux_monitor_right, flux_monitor_left],\n",
    "    run_time=run_time,\n",
    "    boundary_spec=td.BoundarySpec(\n",
    "        x=td.Boundary.pml(), y=td.Boundary.periodic(), z=td.Boundary.pml()\n",
    "    ),\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c7cc7eb4",
   "metadata": {},
   "source": [
    "Visualize the simulation setup."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "6e31921c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sim.plot(y=0)\n",
    "ax.set_aspect(\"auto\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "10f22ff0",
   "metadata": {},
   "source": [
    "Since the grating structures are small compared to the simulation domain, we can zoom in to see them more clearly."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "3502259c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sim.plot(y=0)\n",
    "ax.set_xlim(-6, 6)\n",
    "ax.set_ylim(-0.1, 0.1)\n",
    "ax.set_aspect(\"auto\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1d0ff819",
   "metadata": {},
   "source": [
    "The simulation settings look correct. We are ready to submit the simulation to the server."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "93cd1c7f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:02:46 CEST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'nonhermitian_metagrating'</span> with task_id              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-f050441d-71b7-48d4-8012-f285d701924f'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>. \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:02:46 CEST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'nonhermitian_metagrating'\u001b[0m with task_id              \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'fdve-f050441d-71b7-48d4-8012-f285d701924f'\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-f050441d-71b7-48d4-8012-f285d701924f\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-f050441d-71</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-f050441d-71b7-48d4-8012-f285d701924f\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">b7-48d4-8012-f285d701924f'</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=618352;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f050441d-71b7-48d4-8012-f285d701924f\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=146487;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f050441d-71b7-48d4-8012-f285d701924f\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=618352;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f050441d-71b7-48d4-8012-f285d701924f\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=428361;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f050441d-71b7-48d4-8012-f285d701924f\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=618352;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f050441d-71b7-48d4-8012-f285d701924f\u001b\\\u001b[32m-f050441d-71\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=618352;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f050441d-71b7-48d4-8012-f285d701924f\u001b\\\u001b[32mb7-48d4-8012-f285d701924f'\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/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" 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=224759;https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "095adcbea29448d38e22de87a298f5f2",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:02:48 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.058</span>. Minimum cost depends on task      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>FlexCredit cost after a simulation run.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:02:48 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.058\u001b[0m. Minimum cost depends on task      \n",
       "\u001b[2;36m              \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n",
       "\u001b[2;36m              \u001b[0mFlexCredit cost after a simulation run.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:02:49 CEST </span>status = queued                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:02:49 CEST\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": "d3763ff358b547f39ce7bec279d817db",
       "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\">16:04:20 CEST </span>status = preprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:04:20 CEST\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\">16:04:24 CEST </span>starting up solver                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:04:24 CEST\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\">16:04:25 CEST </span>running solver                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:04:25 CEST\u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "fcda4409b8ba4b4d91aea8aa0692aa83",
       "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\">16:04:30 CEST </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">40</span>%, exiting.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:04:30 CEST\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m40\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\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>status = postprocess                                              \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                              \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "22be7637a31c4bd9a36ae98c7637b2cd",
       "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\">16:04:35 CEST </span>status = success                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:04:35 CEST\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\">16:04:37 CEST </span>View simulation result at                                         \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-f050441d-71b7-48d4-8012-f285d701924f\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-f050441d-71</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-f050441d-71b7-48d4-8012-f285d701924f\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">b7-48d4-8012-f285d701924f'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:04:37 CEST\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=915300;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f050441d-71b7-48d4-8012-f285d701924f\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=138910;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f050441d-71b7-48d4-8012-f285d701924f\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=915300;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f050441d-71b7-48d4-8012-f285d701924f\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=233513;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f050441d-71b7-48d4-8012-f285d701924f\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=915300;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f050441d-71b7-48d4-8012-f285d701924f\u001b\\\u001b[4;34m-f050441d-71\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=915300;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f050441d-71b7-48d4-8012-f285d701924f\u001b\\\u001b[4;34mb7-48d4-8012-f285d701924f'\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": "cb4794f950d046959688da746ef384c3",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:05:19 CEST </span>loading simulation from data/simulation_data.hdf5                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:05:19 CEST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from data/simulation_data.hdf5                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim_data = web.run(sim, task_name=\"nonhermitian_metagrating\", path=\"data/simulation_data.hdf5\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eaed37ff",
   "metadata": {},
   "source": [
    "## Result Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ffed0e49",
   "metadata": {},
   "source": [
    "Plot $|H_y|^2$ to visualize the SPP propagation. We can see the SPP is only propagating to the right, i.e. unidirectional propagation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "1dfaa45e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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LFBYWcuihh/b6uYUQu0/Cr2JA+PGPf8zjjz/O1KlTM9N9bN68mYcffphnn302a8qNlkpLS5k3bx7XX389J5xwAqeccgrvvPMOv/zlLzn66KMzv/yfeOIJ5syZw6xZszjwwAPxPI/f//73OI7DaaedBsCCBQt4+umnmTFjBiNGjGDr1q388pe/ZNiwYUyZMqXdOnTluLPPPps//vGPfPvb3+bJJ5/k2GOPxfd93n77bf74xz/y2GOPMWHCBA444ACuuuoqbrjhBj772c/yla98hVAoxIsvvkhFRQULFy4EktNK3HXXXdx4440ccMABDBkyJDPoorlAIMBNN93Eueeey9SpUznzzDMzU5qMHDmSyy67bHdftiyTJ0+muLiYc845h4svvhilFL///e/bbFQcddRRPPTQQ8ydO5ejjz6avLw8Tj755A7Pf8QRR3DYYYdlBpy0NbXH7ubU3XDDDVx00UXMmjWL6dOn88wzz/CHP/yBH/3oR5SUlGTK3nnnnVx//fU8+eSTmXkBJ06cyKxZs5g3bx5bt27lgAMO4P777+fjjz/mN7/5Tda1fvSjHzF58uTM+3zDhg3ccsstfOlLX+KEE07otK6nnnoqf/nLX7DWturtfOuttzjxxBM55ZRT2LRpE7fffjuFhYWsXLmS//3f/+XMM8/s9r1pz7Jlyzj55JMlp06IgaZfxtwK0Ya1a9fa2bNn29LSUhsKheynPvUpe9FFF9lYLGatbZqOoa1pT6xNTmFy8MEH20AgYMvKyuyFF15od+3aldn/4Ycf2v/+7/+2o0ePtuFw2JaUlNgvfOEL9l//+lemzPLly+2pp55qKyoqbDAYtBUVFfbMM8+07777bod17+px8Xjc3nTTTfbQQw+1oVDIFhcX26OOOspef/31trq6Oqvsvffea4844ohMualTp9ply5Zl9ldWVtoZM2bY/Px8C2Smnmg5pUnaQw89lDlfSUmJPeuss+yGDRuyypxzzjk2Nze31fObP3++7crHxXPPPWc/85nP2EgkYisqKuwVV1xhH3vssVb1qaurs1/72tdsUVGRBbo8vcnNN99sAfvjH/+4S+W74+6777YHHXSQDQaDdvTo0fbWW2/NmvbD2qb70PLeNjY22ssvv9yWl5fbUChkjz76aLt06dI2r/PMM8/YyZMn23A4bEtLS+1FF11ka2pqulTHV155xQKtpsUB7Ny5c+2sWbNsJBKxQ4cOtXfeeaddtGiRzcnJsd/85jette3/DKWfV8spedp6P7z11lsWyPq5EUIMDLJMmBDiE+P222/nsssu4+OPP241gnNfcfzxx1NRUcHvf//7zDalFPPnz29zVYnedumll/L000/z8ssvS0+dEAOM5NQJIT4RrLX85je/YerUqftsgw6SqQoPPfRQZqqavrRjxw5+/etfc+ONN0qDTogBSHLqhBADWn19PX/729948sknee211/jrX//a31XqVxMnTmx3Xr09bdCgQdTV1fXLtYUQnZNGnRBiQNu2bRtf+9rXKCoq4sorr+SUU07p7yoJIcSAJDl1QgghhBB7AcmpE0IIIYTYC0ijTgghhBBiLyA5dV1kjGHTpk3k5+fLqC8hhBB7lLWW2tpaKioq0Fr6X0TXSKOuizZt2jRgFlwXQgixb1i/fj3Dhg3r1zr86leXc8MN97NmzZuUlpb2a11Ex2SgRBdVV1enlqrSgPTUCSGE2JMsYKiqqqKwsLDfatHY2Mjo0cNxXYfTvjqVW3/2x36ri+ic9NR1UVPIVSGNOiGEEH2hv9N97vj5ZVRUDGLRry7nc5/9LnMvWy9RqwFMAvVCCCGEaKW6upqbb/pfFtxwHkccMYaTT57MggUX9ne1RAekUSeEEEKIVv7nlos57PBRfOlLRwNw3fXn8vvfP857773XzzUT7ZGcui6qqalJ5TU4SPhVCCHEnmUBn+rqagoKCvr86tu2beNTnxrBP/55M5MnH5bZ/q0L/oe6ukYefHB5n9dJdE566oQQQgiR5Uc//g5Tp47PatABXH3NbP72t+f497//3U81Ex2Rnroukp46IYQQfaf/eurWr1/PQQeN4dnn7uTTnz6g1f7vfe8XvPfuBh59dFWf1kt0TnrqhBBCCJFx/fUXcsopx7bZoAP44Q/P4umn/81zzz3XxzUTnZGeui6SnjohhBB9p3966t59913GjTuMV/99L2PGtD/p8XXX/ZannnqVp1a82u/Trogm0lMnhOgR1c6/rpZrq6wQA0lH79099a+/Og+uuebbnH32lzps0AFcdtks3nj9Yx5//PE+qpnoCmnUCSGEEIJXX32Vv/99JVdfc06nZQsL8/jBD7/GlVd+Fwn4DRzSqBNCCCEEV111Id/69ikMG9a19V2/852ZVFbu4s9//vMerpnoKmnUCSGEEPu45557jmee+Q8//OFZXT4mEglx9dVnc/XVc/E8bw/WTnSVDJToIhkoIbojK0+sVRKxTu5XOvm10iTfV+niGpXarpSLUhqtXLRyUcpBKY2jXLQK4OgQrgoRVBECKoeADREgRMAGCdgAIYKElEtYO+Q4DiFHE3YVYQcCGoJaEdDgKkvIgbC2hB1LjmMJO4awNoQdn5BjCDseIdcn7HqEQwlCYY9gxMcNG3Qo9XQA64Hxk/9bm3z6ygXtgAomv1ZaYT2LiYLXoIjVO0QbA0RjAeK+Q8LX+FaTMBrPaKK+Q4PnUOs51HqaBl8R9SFhwKIwFnwLcWNp8KA+YalL+NT7CRqtRwIPXyV/6Xj4JFScqKonZmuJmhoSphHfxLJeA2sNvvXwTQzfxDEmjrFeq9fJYrA2gbUe1vpg/RavffpvZwPWYsn+yG0rp7ArZZqX+8TmJfY4wb5n/RJ79L6pntXNWou1DX0yUMJay+emjucLXziC+fO/0a1jEwmPQw85h6uuOpv//u+f7Nb1f/GLX/DTn/6UyspKPv3pT/Pzn/+cY445pt3yDz/8MNdccw0ff/wxY8aM4aabbuLEE0/Mej7z58/nnnvuoaqqimOPPZa77rqLMWPGZMrs3LmT7373u/z9739Ha81pp53G7bffTl5eHgDvvPMO3/72t3nzzTeprq6moqKCr33ta8yfP59AINDluvQ16akTQggh9mGPPfYYb735MZddNqvbxwYCLtdd9w2uv/4+YrFY5we08NBDDzF37lzmz5/PK6+8wqc//WmmT5/O1q1b2yy/cuVKzjzzTM477zzWrFnDzJkzmTlzJq+//nqmzM0338wdd9zBokWLWL16Nbm5uUyfPp1oNJopc9ZZZ/HGG2+wbNkyHnnkEZ5++mkuuOCCZs8rwOzZs3n88cd55513uO2227jnnnuYP39+t+rS16Snroukp050h/TUSU9d02svPXXtkp66dvVVT50xhgkTDubMr01j7tz/t9vnOOrI8znvmzO45OI7unXsxIkTOfroo7nzzjsz5xo+fDjf/e53+eEPf9iq/Omnn059fT2PPPJIZttnPvMZxo8fz6JFi7DWUlFRwfe+9z0uv/xyAKqrqykrK+O+++7jjDPO4K233uKQQw7hxRdfZMKECQAsXbqUE088kQ0bNlBRUdFmXefOncuLL77IM88806W69Ae3X64qxCdY5hdB819Izf82ymzPbrwld2mUCiQbaTqIVi6ODiUbadpF4aQacQFcFSKk8giqHMI2l4iNELJBgipASDmEtUNuQFMQ0BQEFcVBS2HAUBgwFLgehcE4BaEYhblV5BfHCO8H7n65qIoiKB+MLSmC4iJsUTHo/uu0DwI5PT1JLIaqrUFt3QZrN2E/3Ebs3QaqN4Woro1QFw8Q88PETbJxWJVw2RJz2BZVbIsaqmI+UeNjUq+jxZKwhnqi1OpqathK1NRkGn7NG3S+iRH360l4DfimHms9sAZSjfI0az0sPsr6WGzqvdG80Qfphl9zrcuZ9Ak7+eOBVufqM7vVWOv6e3C3GmM9bGQl9eXPSd+8dn/+85/ZunUXF1546m6fQ2vNggX/zbe+dQvfPG8hubm5XTouHo/z8ssvM2/evKxzTZs2jVWr2l6tYtWqVcydOzdr2/Tp01myZAkAH330EZWVlUybNi2zv7CwkIkTJ7Jq1SrOOOMMVq1aRVFRUaZBBzBt2jS01qxevZr/+q//anXd999/n6VLl/KVr3yly3XpDxJ+FUIIIfZRN918DT+cdxaRSKhH5znp5MnsP6KMe++9l5qamqxHe2HZ7du34/s+ZWVlWdvLysqorKxs85jKysoOy6f/76zMkCFDsva7rktJSUmr606ePJlwOMyYMWP47Gc/y4IFC7pcl/4gjTohhBBiH1Vd5XPQQfv3+DxKKQ4+aDhLliyhsLAw67Fw4cJeqGn/eOihh3jllVdYvHgxjz76KP/zP//T31XqkIRfheimTOism1rmzrXe1xTWS/8D0Db5tbLpfQpHKRyd/F8pcBS4CgIKgtoQcgxBxxB0fAIBgxOy6LCDCrkQCUEkDLm52Lz8fg299ppQCEsB1NahQkFwNcoFxzUEXY+Q0SgF2rckjMJRNvMXrQIcrQhYjVGp8KsFDwsWDE05ck35jg4ajW8TzSphmr7MhNzTr3ezPLs2KFSrPLpmF+3GjehnAy3s2uOQ617ws9EV1oIxnZfr9DwwdepU/vKXv2RtDoXa7gUcPHgwjuOwZcuWrO1btmyhvLy8zWPKy8s7LJ/+f8uWLQwdOjSrzPjx4zNlWg7E8DyPnTt3trru8OHDATjkkEPwfZ8LLriA733veziO02ld+sM+8o4VQgghRJuM6Z0HFtd1KSgoyHq016gLBoMcddRRLF++vFlVDMuXL2fSpEltHjNp0qSs8gDLli3LlB81ahTl5eVZZWpqali9enWmzKRJk6iqquLll1/OlHniiScwxjBx4sQObpMhkUhgUg3gzurSH6SnTgghhBD9Yu7cuZxzzjlMmDCBY445httuu436+nrOPfdcAGbPns1+++2XCeFecsklTJ06lVtuuYUZM2bw4IMP8tJLL3H33XcDyTDwpZdeyo033siYMWMYNWoU11xzDRUVFcycOROAsWPHcsIJJ3D++eezaNEiEokEc+bM4YwzzsiMfH3ggQcIBAIcfvjhhEIhXnrpJebNm8fpp5+emaeus7r0B2nUCSGEEPuyXgu/dn/E7umnn862bdu49tprqaysZPz48SxdujQzAGHdunXoZikikydPZvHixVx99dVceeWVjBkzhiVLlnDYYYdlylxxxRXU19dzwQUXUFVVxZQpU1i6dCnhcDhT5oEHHmDOnDkcf/zxmcmH77ijaToW13W56aabePfdd7HWMmLECObMmcNll13Wrbr0NZmnrotknjrRXNM0E820mtak7fno0vPOKeXi6GByrjkdRKtAZjoTjcZVIQIqh6DKIcfmEzYRIoQIKYegdgg7DrmuJi+gKAgoSkKWooChJOhRFEhQGIyTF4pTkB8ld1CcYIWDU5GHGjYIKoZgBw/ClpRAMNiHd24PisVQGzagPliHfa+S2PsN1FUGqK8L0Zhw8XyHBs+lLhFgazTApqjL1ijsjFlqE4ZEs19qvrU0GI9a6qlWO6ljBzFTh7U+Sjk4qalKPBPDM41EE9V4fgO+aSSZW9dy/kEfa+JYfKw1WdOUpPPEkjl1Bmub6tHVaU/6fTqTbufSDdQ8ur7PSFLt1NdaizE1e3yeugMPPJBf3H4ex31+fI/P9Y1v/pSxhx7HlVde2fOKid0iOXVCCCGEEHsBCb8KIYQQ+7LMQIceksBfv5NGnRC7K70GVppSPf5QUy06z21qKgxD9geublbSJmfewLRxaZWeosOkClib+iZ9or2rs14ZAwkPG/czq3UpbQlog7WpNSAs+Fbhp5YWMzYZsnBTr6Wx4GOx1uIpH08lsCZ5snToVeFkXhvfesmlwpq9Rs1D7dYmQ6oW2/ZqEc21+f4ZwK/RQAm77nbIdc/f2/bCqwNKP+bUid71CXi3CSGEEEKIzkhPnRBCCLEv67Xwa89PIXpmwPXUbdy4ka9//esMGjSISCTC4YcfzksvvdThMStWrODII48kFApxwAEHcN9997Uq84tf/IKRI0cSDoeZOHEiL7zwwh56BkJ0Lj3CMRmay15tQGdGTiaZFqsRKFS7Ua90CFYri1IWrZp9yqZDsKaXQi0Dke+D54NvMlFmR5vko9n9aBl+Ta7K0bRSB4DB4isP3yYwGDQaR7k4BNLreiTDrtZgjNds1GpT6LWJIXvFiWYjWjPlsl+T5iOsOwxFdicE2lurU6g2Rn93KL3CRienbfav88K66dEtmq7WpzuU0m0+PhHS4ddemHxY9K8B9Y7btWsXxx57LIFAgH/+85+8+eab3HLLLRQXF7d7zEcffcSMGTP4whe+wKuvvsqll17KN7/5TR577LFMmYceeoi5c+cyf/58XnnlFT796U8zffr0VsuECCGEEEJ8Ug2o8OtNN93E8OHD+e1vf5vZNmrUqA6PWbRoEaNGjeKWW24BkjNFP/vss9x6661Mnz4dgJ/97Gecf/75mRmqFy1axKOPPsq9997LD3/4wz30bIQQQohPgN7qvZeBEv1uQPXU/e1vf2PChAnMmjWLIUOGcMQRR3DPPfd0eMyqVauYNm1a1rbp06ezatUqAOLxOC+//HJWGa0106ZNy5QRQggh9lUKg7I9f0j4tf8NqEbdhx9+yF133cWYMWN47LHHuPDCC7n44ou5//772z2msrIys5xIWllZGTU1NTQ2NrJ9+3Z832+zTGVlZbvnjcVi1NTUZD2ESLPtfXhl5Rq1nuIi6xzNphZp/nVbDAarWuRcNUs7Mrb1x2kqNQylbXbBvTWnzphkPl3Cw3oWTHJKF60trpvMqwMwVuFZSJhmOYioTE5d+kPRx8fDy0xVolQyj04pB62Saz9aazA2QfK19pvKqeaTzvhZ08ik88WaVhtp0vp9pVvkl7WxmkRb2irTG/l0eziXrmt16G4enaY38+g+0blz7TG9lFMnbbp+N6DCr8YYJkyYwI9//GMAjjjiCF5//XUWLVrEOeec06d1WbhwIddff32fXlMIIYQQYncNqD8vhg4dyiGHHJK1bezYsaxbt67dY8rLy9myZUvWti1btlBQUEAkEmHw4ME4jtNmmfLy8nbPO2/ePKqrqzOP9evX78YzEkIIIQY4a5v14vfgITl1/W5ANeqOPfZY3nnnnaxt7777LiNGjGj3mEmTJrF8+fKsbcuWLWPSpEkABINBjjrqqKwyxhiWL1+eKdOWUChEQUFB1kOI7kqH09Lh1XRYrr1wjVJOVpivPToVqtJthGCbryyRjJbZZrNmtAi97k0rShgDiQTEU+FXQDvJ0KvWJrO6hm8VnlX4VmFt8h46GlytcFK3w1rwMPgkMitHKBwcFcBJBTgsfvKRWjECmq0k0eI1Tq8m0RReTYcQddb+tObTmXSoq6HQnoZe+zvs2u3pS3on3LrXhVnb0xuhVwm/DggD6h162WWX8fzzz/PjH/+Y999/n8WLF3P33Xdz0UUXZcrMmzeP2bNnZ77/9re/zYcffsgVV1zB22+/zS9/+Uv++Mc/ctlll2XKzJ07l3vuuYf777+ft956iwsvvJD6+vrMaFghhBBCiE+6AZVTd/TRR/OXv/yFefPmsWDBAkaNGsVtt93GWWedlSmzefPmrHDsqFGjePTRR7nsssu4/fbbGTZsGL/+9a8z05kAnH766Wzbto1rr72WyspKxo8fz9KlS1sNnhBCCCH2Ob219qt01fW7AdWoAzjppJM46aST2t3f1moRn//851mzZk2H550zZw5z5szpafWEyGZts9UBuv+h2HIh+I7KmNRXOhUG052ErZJhV9t21KzXPsQHEM+DeAK81LBWnQy/Oq5JhlnjzcOvqdUkSIZf0/fUMwqweNbgKy91301qlQ8HBxdNAEhkVpIw1mv2Gjpo5WaHXluOfFXpkGPXwpNds3vvv84r0N2wbdeCP10Oue6Ba7d7ub01tNoV1mSN0N7980ijrr/tw+9iIYQQQoi9x4DrqRNCCCFEH5Lw615DGnVCCCHEviw9JUlPSZuu30mjTohONM//SU9J0TTlhG62MkAgVSr9F29yCgStQmgdxNFBHB3C1UG0CuDoEEEVIajyyKWYPJNPnoqQo13CjkPYUURcTX4ACgMwOGQZEkowNBKlNLeBoqJGcss9AsNC6P2L4aCRmEPGdjhNiWUv/twtLMRMPBomHo0GwqlHc/sD4wG1fRvq5f9g39+KvyOKqTd49dC402XrjnzW1ebxft1gNjUOYVfcEvdtZvqYhLHUJnx2mAYqQ5uodjcS9aoyuXdaJz9WPRMn4dWTIDmNkiU1hYcOolUISOZLGhMD/BbvrfSUNqlcOWtotZqEaicvr2VeU29OjdKuXswP7PZqEbtnn86ha6m3euokp67fybtaCCGEEGIvID11QgghxL4sPXlwT0lHXb+TRp0Q7cgKF6XCU8rSLFSlUytAuCgVaLaAe/oQF61dAk4uwdQjpPIIqXyCNkLE5pBnc8jXQYqDAQaFFcVBKApaigOGokCCklCM0twGSsvryB3rog+twI4bj91vWNa19rLJSfY4O7gUO/14mN607oBLMlxbHI8zduVqjl/xPjveCLB+eyE1iSCeSa5C0eBrdsRd1tYXsbYuj41+BTuCO4ipBgBcG8AoQ8zWUu/soDGxk7hXg2/iqXB8MhSvlMZYD49keBbbIgSLRqkAydCslwptJcs0f28qVOq43ZzWpEeh114Ku/ZByHXghFvbXykmW9+1kJS1qF5o1Clp1fW7gfIuF0IIIYQQPSA9dUIIIcS+zNreGeQgHXX9Thp1QrQjK8zV/AMvs4oEYNMrQiRaf55ZDwiSAKz1MTaBp2NEVQ2uClGrQlTrfHJsPjsb89gaDZPnukRcTcR1yHEcctwwhcECSjcbKt6OMfTxWsoGPUH+sASBYWH0pwbD6OGYAw8EV36cu0u/+Sas3QS76rD1ccyORqIfe2xZn887O4fxYX2Qyqim0Uu+uo5OzvxQ78HOaILNiToqnQ3Uma14fgwAV4dQ1sGzMRJ+PZ6J4ptGrPWSvztVMsyltZu12kSaTY1RVhjA7/Q52D7/Tdofq0Z0P6jUN+HWroZSB7jeyqmTVl2/k/CrEEIIIcReQP60F0IIIfZlMk/dXkMadUIIIcS+TFaU2GtIo06IDrSbr2RtciIJpcDaFn+gNq0oYU0jKJeEChBTLkolf+SUSq42odA4OoirQzg6hDYuTiKQ2ufgqhAuIcLkkWcLybM55Ol8Im7TihO57nbyAzsYFDQMCvqUheOURqIU5zWQVxgjPMjglgVwhhXAsFLs6BGtpkTZa8Ri6Ff/A2+tI/FhNYmdFr9R4cU18ajLrtoIm+ty+ag+zLoGhx0xS30igKUoc4qob6lJxNlBNTt1JQ1mF8Ym0CpAUEXQBLAYYraOqNlFNFZNwqvDYlDozFQ2AMbE8U1jctUIm8qPUwYfH98k87GsTaRWjGjOgFXJqUwga392rpqhKYtmT09s09fTl3QvO2jP5NDtJTlznZGeur2G5NQJIYQQQuwFpKdOCCGE2JfJ6Ne9hjTqhNhNlvTcTu19GCYXcccmUERblcpePaCd86dkyrQ5+79uKqOS6yM0haKc1GE6FRpMhQeVmwkBN5deFSO5mHyqHtbHYrA2+Ugfp1UAJxVq1KkVNSwGYxMY4+FbD2MTmfMq5eDqIFoF0KkwtEmV8Uwc38Qw1suUT5/XSZfFYEwC38SbyimdeS5A8romjm+iybBm6q4nw97p5+Snphfxm0KimXurm63QYJKh9eavk1KoZiE5i59Vpnm5zAoPLfZjPazxW19LqeSKJZlz2+z6pcq0DnF185fxbq0g0XFQp/fCrl0PHvVuuHUfCbN2ROap2ytI+FUIIYQQYi8gPXVCCCHEvqy3wq8yUKLfSaNOiF7WMhRlaR3CA43OhEvTkgu469QoWUcHm0KbSiePSIc9dYigihBQOQRVDgEbwsHFtS4OLiEbJKyCRJRLrusQcjRhVxFQEHQgoEmOnnUs+a6lKOBTHPQoCsYpCMXJj8TIyY0TLvQIlCic0hC6NBeK8yA/B0Ih0KppGgStIBDAFhZgS0ogP7/tm1Nfj9q5A1VbB/FEchWMUBAbDIJWqGgMdlZB5Q7shl14mxtJ7LQkGjR+QuN7mljMpS4aZHtDhMpomK0xh6q4otFXGJusigJ8C42+pSZu2RXz2OVHaVCN+Hg4uDjWQaNJqAR1qppattHg7SDu12Otj9YBXB1E4WDxSfhR4l4tnl+LNfFk6BWN0k4mnNw8rJseuapQKOVmvS+SYVu/KVqVDtcqmoVkoc3Qamfh090Kr7anh2HXARdylTBrm2wvTWki+p2EX4UQQggh9gLSUyeEEELsy4zMU7e3kEadEEIIsS+zklO3t5BGnRDd0G4OUbPpMGi2aoS1BkU6F8jB0UEcHcbRQQJOBEeHkqtGqBABlUOEAgpsEfnkUugEyQ1ocl1NxIWIo8gPWEqChrKQR3mkkfLCOorKGgiVGdz9AqjyQhgxFDPmAMjN7dXn3ivrFeTmYnNz2535oOV2J/UIt1H2wN24vH7vPVi7EarrIZbA1sfwtzRQ/75m/caDebu6gLUNLlVxRcJYnFR+Wsy3VMUtmxujbFBb2GXX0+hXJc+pXBwVACBu6ogmqol7NRjTmPxlqVwcHUHrINC0yoQlhk2tFKFS/0hPz2JNcuoTyP5FmZkqJS31qqTL9Fo+3Z7Opeta5k/Pcugkf67LDJJTt5eQnDohhBBCiL2A9NQJIYQQ+zTTxvrDu0HCr/1OGnVCdEFnKzqkQ2dah1LTW2Sv1qBTU5SE3AIiThFhXUiuLSJiI4RtmBwC5LsBioKawWHNkLClLORRGopSEopRnNdIYXEjOcMsgYOLYdwBmHGHZ9XCIhO6d8aMGQNjxmRt00A+cAhw2KrV+E+9TcN7Pg01QXxfYYymIRqksj6Hd2pzeKdmJOvqhrHN1hNTcZTVuDh4+DS49ex0N1Ab30RjYhfGxFHKJeDmENARADwTI+65eL4BG2+avkQ1TWljaB569bHY1HtQt5gaJbVqRWaDbT8E29G+VnekbR2GXfs15Cqh1h4xvTSliXwA9TsJvwohhBBC7AWkp04IIYTYl9lemtJEuur6nTTqhGgmHV6ybX04tRp52OyYZqFXrYOoVDmlkmFYR4cI6AgRp4hcPZh8U0yezSVPBwk7DrkBTWFQUxJSlIcN5eEEFZFGhhTUU1DYSM5QQ2BkLmp0GXb8odghQ/bkbdhnmUkTcVyXvOL3CW+sx8Ys1oBf30D+lihaWeImF8+6UJ9Lgx8CBa7SGCwhE8TXHl4gSsI0krAmaxWQ5PvDxVgP30SxKpH8hWptcjWJ1PtF42LwwaoW70QDOMlQZ4c5UG2MkO2wTNs6HeUKPQ67DtRwa89Xr+g62xv5bD0h4de9hoRfhRBCCCH2AtJTJ4QQQuzLeiv8KqNf+5006oQQQoh9WW+FX0W/G3Dh1+uuuw6lVNbj4IMP7vCYhx9+mIMPPphwOMzhhx/OP/7xj6z91lquvfZahg4dSiQSYdq0abz33nt78mmIvVb7f81aa7DWYIyHsV4qbyqeesQwNoFnY8RtA1HVQJ2qp9o0UuXF2BFLsK3Rp7LRsr5B82F9kLdq8nht6yDeXFvGB68Ws/UJj+ijH8JfnkSvfhFisT583vsG/exKEn//N5WPe7z7fDFvvTSY914dxPvvDuKDbcWsrY+wJarZGTXs9KLspJZdNvk61pk4URUloWJ4JpZ6H8QxJo7nN6beA17TKhJKk/URnHr/7LH8qqzpTHohn07pDvLpdLNHW1XRmUfnnDYeu6/5tTt69KW269Bbq4N0gTW99JCGYX8bcI06gEMPPZTNmzdnHs8++2y7ZVeuXMmZZ57Jeeedx5o1a5g5cyYzZ87k9ddfz5S5+eabueOOO1i0aBGrV68mNzeX6dOnE41G++LpCCGEEKIdv/jFLxg5ciThcJiJEyfywgsvdFi+Nzpydu7cyVlnnUVBQQFFRUWcd9551NXVZfavWLGCU089laFDh5Kbm8v48eN54IEHss5x3333teqECofbWtSw7wzIRp3rupSXl2cegwcPbrfs7bffzgknnMD3v/99xo4dyw033MCRRx7JnXfeCSRf3Ntuu42rr76aU089lXHjxvG73/2OTZs2sWTJkj56RkIIIcQAZWkKwfbksRsddQ899BBz585l/vz5vPLKK3z6059m+vTpbN26tc3yvdWRc9ZZZ/HGG2+wbNkyHnnkEZ5++mkuuOCCrOuMGzeO//u//+M///kP5557LrNnz+aRRx7Jqk9BQUFWJ9TatWu7fxN6kbJ2YPWXXnfddfz0pz+lsLCQcDjMpEmTWLhwIfvvv3+b5ffff3/mzp3LpZdemtk2f/58lixZwr///W8+/PBDRo8ezZo1axg/fnymzNSpUxk/fjy33357m+eNxWLEmoW3ampqGD58OMmu/z7sFhcDRqtVJbJm6Nco5dByJYnMsSqAVsHMygKuE0lOc6FcFA6OChAgQg6F5Ng88mwOOTpAWDsEtCLkaHIDioKAojRsKQ95DI3EGZLTwKDCenJL4oQqNO7+BTBmP8xhY6GwsE/uyyeJXvMq9oV3iL9fR6IGMAo/oaivCVJZlc87Nfm8V+eysd5QlzAoBWFHE9DgW6iJ+2xO1LHV2Uy1v5GEaUQrl4DOwVUhLIZGfxeNiZ1E4zsxpgGFQukIrpODo4MopfH8KJ7fgDENWOsB6RBcCKUCAFibAOthrde0ooTKXlUiOfVOi7BXq6l32grndjLNyG6tHNFbU5f0fLqSvg6f7gnWGnx/J9XV1RQUFOyx6xx44IHcNftojvv0yB6f65xb/8bB087kyiuv7PIxEydO5Oijj850xBhjGD58ON/97nf54Q9/2Kr86aefTn19fVbj6jOf+Qzjx49n0aJFWGupqKjge9/7HpdffjkA1dXVlJWVcd9993HGGWfw1ltvccghh/Diiy8yYcIEAJYuXcqJJ57Ihg0bqKioaLOuM2bMoKysjHvvvRdI9tRdeumlVFVVdfn57mkD7p0/ceJE7rvvPpYuXcpdd93FRx99xGc/+1lqa2vbLF9ZWUlZWVnWtrKyMiorKzP709vaK9OWhQsXUlhYmHkkG3RCCCGE6A3xeJyXX36ZadOmZbZprZk2bRqrVq1q85hVq1ZllQeYPn16pvxHH31EZWVlVpnCwkImTpyYKbNq1SqKiooyDTqAadOmobVm9erV7da3urqakpKSrG11dXWMGDGC4cOHc+qpp/LGG2908dnvGQOuUfflL3+ZWbNmMW7cOKZPn84//vEPqqqq+OMf/9in9Zg3bx7V1dWZx/r16/v0+kIIIUSfsCY5pUlPH9bieR41NTVZj1g7g7q2b9+O7/vd6nTpjY6cyspKhrSYwN11XUpKStq97h//+EdefPFFzj333My2gw46iHvvvZe//vWv/OEPf8AYw+TJk9mwYUOb5+gLA35Kk6KiIg488EDef//9NveXl5ezZcuWrG1btmyhvLw8sz+9bejQoVllmodjWwqFQoRCoR7WXuxNMqtMNA91pb5WWKz1Qamm3S1CYj4az6+msUWINns0pINWbquRkZmVBpSbXJ3CCeOmQn6OCuDgogkQwiNMjByzhTwVJtdxyXEcgo5KPjTkuJCbeuS7hlzHEHIsjrKZKyplcZUl7BgirkeO65ETjBMJJwiGPIIRHydk0SHQQVCuSmYlWLCeJRVRBA3KBR3SqKACN3kFG/Ux9YZENXhRjZ9IrcChk/fM+IpY1KWmIczOxgjV8QD1voNnIKAtIW0JaoNvFfW+w/aYQ2VUsyNmqU/YTLjS1clUn3rPsDMRY7vaSRVbiNk6LD6uCuOS/Dn3WJ8JnSa8Ooz1UGgcJ0zAyUUpjTEJEn4Dnt+ANY3J6ygHpUI4Oph5PX3TiLWx5GhWQBmfhI3hqRBKaaxNpMKuJjvUaT1ss3CpJRniVy2SZFqteKJUi3QA0+z9o8kOwbb/t3ybYdcOQ5n9G3LdG8KsA0I6p64XzvPUU08xf/78rM3z58/nuuuu6/n5+8mTTz7Jueeeyz333MOhhx6a2T5p0iQmTZqU+X7y5MmMHTuWX/3qV9xwww39UdWB11PXUl1dHR988EFWg6y5SZMmsXz58qxty5Yty9zoUaNGUV5enlWmpqaG1atXZ70YQgghhOiZqVOnZkW5qqurmTdvXptlBw8ejOM4HXbMtNSdjpyOyrQciOF5Hjt37mx13aeeeoqTTz6ZW2+9ldmzZ3f01AkEAhxxxBHtdkL1hQHXqLv88st56qmn+Pjjj1m5ciX/9V//heM4nHnmmQDMnj076w1yySWXsHTpUm655RbefvttrrvuOl566SXmzJkDgFKKSy+9lBtvvJG//e1vvPbaa8yePZuKigpmzpzZH09RCCGEGDh6Y+RravSr67oUFBRkPdqLegWDQY466qisThdjDMuXL2+306U3OnImTZpEVVUVL7/8cqbME088gTGGiRMnZratWLGCGTNmcNNNN2WNjG2P7/u89tpr7XZC9YUBF37dsGEDZ555Jjt27KC0tJQpU6bw/PPPU1paCsC6devQuqktOnnyZBYvXszVV1/NlVdeyZgxY1iyZAmHHXZYpswVV1xBfX09F1xwAVVVVUyZMoWlS5f2+3wyQgghRL/rrWXCdmNOk7lz53LOOecwYcIEjjnmGG677Tbq6+szuWuzZ89mv/32Y+HChUCyI2fq1KnccsstzJgxgwcffJCXXnqJu+++G8juyBkzZgyjRo3immuuyerIGTt2LCeccALnn38+ixYtIpFIMGfOHM4444zMyNcnn3ySk046iUsuuYTTTjstk2sXDAYzgyUWLFjAZz7zGQ444ACqqqr46U9/ytq1a/nmN7/Zo7vYEwOuUffggw92uH/FihWtts2aNYtZs2a1e4xSigULFrBgwYKeVk+INrWZb5dVIDn1hM0km2VTqMzHYdZHa4spLNo+OJl/l87Ja+I3+9rJ5OQ1n3ZFKY1Kfe/oEK4O4upIZooOh0A79dVo5aDQBGwIBxcXF8e6aDQ6VV+DxWDwlYdJ/UvuT5YFsBjiKo5HjBgNeMSwmGQ+GwFclfwr37cJ4raOqKkh5tXi+Y3JvLfU80o+t+T5fBPH96OYVF5b8rkGUlOKJMsZE0/uN3Fs6l4pHJQOZu6XsTH8eC0xKrNWemg+vYi1CayJY3yaph5JvXbpawFY62NtQ4s7qbNmSLJYsM1fN5M5V6ttrV6UjqZaamdlh92auqT98yWr0dVVIrpOcuf2MGt7ZzWI3TjF6aefzrZt27j22muprKxk/PjxLF26NDPQYU915DzwwAPMmTOH448/Hq01p512GnfccUdm//33309DQwMLFy7MNCghGV5Ot0N27drF+eefT2VlJcXFxRx11FGsXLmSQw45pPs3opcMuHnqBqqamhoKCwuReerEntDuL9dPTKMu0M1Gnf5ENOrSDTaL326jrvk8cS0bdT3PcOlJ70kPlwKTRl2/6tN56s4Yz3GHtT0XbHecc+c/OfiEs7o1T53oXQOup04IIYQQfSidE9dj0kfU36RRJ8Ru6riXQ6FwMr1oSc16epSLViEcJ4yjgwR0BK1dtAqgVbJ3Kqgi5FBMjs0nz+aSowKEtEPQ0QS1Iuwo8gOK4hAUBy2Dgz5FAY/CYJzcgEdeKEZefoycQQlCw1yckcUwbDB2aBl2yBDIz9+j96c/qY0bUK++hffiBmre01RVRfB8B0cblLLEPJdtDRHWNoT5oM5lU4OhJp7srQs5mpCj8AzUJXy2eHVsdtZR5a0n5tWilCagIzg6NRWKaaAxvou4twtjYoBJ9Qrm4jjJcI8xHr6px5hYixUkApmeQ2tNakoTvykU1t4KEskDslY0yWaaynU39LobPXS92TvXF71yqhfHCNoe9aYOELaXGnXSput3+16fthBCCCHEXkh66oQQQoh9meml0a+Sot/vpFEnRBtahqaaz+CfnSTfxjHKzUrK181GQKYHJAScMGGnmFw9iAJTkgqvBglrl4iryXU1g8KKIWEoC/mUh2OURhooym0kvyhKpMwQ2D8HNXY/7PhDsSWDOn1Oe0GQqMvsfsOw+w1Dz4Aiko+WDgKmkAzV8tjzxF6rJrZLozTogMFr1FTtzOGdncWsqRrH+zWHU9kYI4EhgCakHQyWWuJsztnINv996mKV+H4UrYOEAoWE3SI0moRppDGxk1iiCuPXZt5PSrk4OkJyFK2XGrgRw5IK0drk6P10SFRZg22+QkSzEGx2iLblKhKdpAtAt8OunYdJ+zbc2psh1T1x3QEdppXw615Dwq9CCCGEEHsB6akTQggh9mUy+nWvIY06IYQQYl9mkfDrXkIadUJ0RCmwNjsfqfk0E1lTljRNU+Ho5FQljg7hKDe1XaNVgKDOI0cXU2SGMMgUUhIIUhDU5AUUEUdRGLQUBwxDw3FGFtRSPqSG/NEW91OFsP8w7Ihh2FGjsMhnaG+w+w2D//4qQSD00UeoWAy0hoZGitZXst/zGxj2YjEvby/m/boIdZ7FURDUyfdEdTxIXv0olKMhBI2JnWgVIOwWkasH4aoQCZ1cScI3cRKmEWsTqas7mbxLYzXWGBRxQGXlcWbeYyqdV9c+1erY7ubT9WRi4c7z6HY3h66/cuZ6S0f17+98O2ssthcadTJOov99sn9KhBBCCCEEID11QgghxD6ul9Z+ldhBv5NGndgntRWiar4v+UVXQlYtO7udTJglHXLNPFL7dHpNUxwcVOYy1iY/En0DnlX4VhH3HLy4g2mMY2tjqOp6VHUNtrERIpHdfv6iDfX1qK3boTEKrpPMMYolw6RaWZRKvmMSBoyCgLY4ShF0IOxoQn4ErZJr5RqbwDcxrPbROGgCyVC8DpJQLiq1qgTpNWVV0zq8KN3m78bkWrTQ1uQ0Te9ZDbaDlSRahj6t6YXQa8ch1+6GWz/pYdbd0fI593k4trcGSkibrt/tez89QgghhBB7IempE0IIIfZlMvp1ryGNOrFPai/0ml2oqUxmBQBUahZ/UmGu7DCJxWDwscZgrcHX8axwrFYuntOI58RI6CiNDGJXLJdQLEhAOQTQhB2HXNehKBhkcDhI6fYiBn/kUxRIUBBMUBR6n0Elr5I/wiN4+CCYcAjmwAN769bsc/S77+IveZ6tqx027iwgYTQ5rkco4BH3HDY3DOONmjDv1Vg+rm+gzkYJ4JKng+Q4Dglj2e7Xs0tvyqwaAWBMMsQadxoB8EwDxnqASb6frMWaOFaF8NMLRLQRdrNYFKbzlKdmYc420wvaCoO2E3rtOGTaO+HWfTHM2lV9fm9knrq9hvxUCSGEEELsBaSnTgghhNiXydqvew1p1AkhhBD7sN6afFhmH+5/0qgTooVkDpPK+r7l18r62OZTnmQ+zBTW+ijiGNUIfvMMBwOkV5wIUq3Xs82JZFacsKmpKJSn0fEAwVguobo8QiqfoI0QtEEcXAI2QIQh5DtBCoMug8KVFAcrKQxY8l1LfsCnMOBRHIpRml9PSUUD4dFB9MgSqBiMHTIYW1ICxcV76A72PVVZiaqpAaWwrptcFWJDJebVdex8Gd7dNJh19WHqfY2jIKwNFsWuhGZDg+Kj2uFsiNewS29F45Bj8yiwuThKE7Uxtun17DRrqYtvwTNRXB0mHCgibAtQyiFGHfXRLUTjOzGmDqzFmEZ8E6fR2YlWLr6J4/kNzaYcAYuPbxpRKpB6DyRS04woVPPfj6lpT5poUC2mLmkxPUn7q0iky7Se+mR3c+m6kkfXG3liu7saRW+ztn9XgOh1vTVQQvS7gfETIoQQQgghekR66oQQQoh9mUw+vNeQRp0QbehsypP0lBStd1iSU1bQwQdcI77fdniss4XYs6ZWgdSqFzprWyZ8nFrxIh3a06r5j3v2NCtauyg0luRULMZ6WGuaQsLNyjk6hG7WyW9Sx1jrp66fOgaN1gE0OhM2s9ZgMBiTyFwjfW5XhzJhaN96+CaG50ex1sNiUtcP4uowrg4lJ48xMRJeA76JYm0CpQKZcsnrefgmjjWN2PQqDkqhcCBzP1J1t372/VVO1j1tub8+6qCUQ/NwZvI8NnXtBJ63C89vHl5PTmfSFEbUYL3kc0ytBpF5D6jsFACVei2a3iNtBFraCgu2u2JE9vFthzbbDrl2FgbdnVDrQAmtdkVHdf1EhmZ7baCEtOr62yfnp0gIIYQQQrRLeuqEEEKIfZltJ/IgPnGkUSeEEELsy2zbkftun0bahf1OGnVC9JL2pkFJ5mc15b41SU1xggLlonUIrYKZ/LZ03o5SGkeHCOhI6pGDSwhHBTK5S64NECaXsImQpyLkaJeQ1jhKJR8aAloRchT5AchzIT8AuY4hxzHkuIZ816MwGKckp5HiwQ1Ehhrc8jC6OAI5wVSVU88r4EJuGAYVYoeWY8vLQbeRzWEMxGLJ/0MhcFt/5KidO1DrNsDGrbCrLnmNnCAU5EI4CI1R7MZdJN6pZtu7ETbsKqA6HiRhFQFlCWiDbxXVCZfKqMv6BsX2qKXeM2gg4mpy3eQ9aPQs26Iem/wqtuvNxGwdDi55DCbH5uFYh6huZBebqE5soCG+A99Ekzl/Tg5BJxelNAm/kbhXh+ftwtgYAFoFcJw8tAqmcug8fNOIMTGs8VNPVqVyHEPJ94k1yZw6kjl9STqZ89eMTf1r7/3W+qa2fC3azrTprTy67uTQfZJy53ZHW8/vE5lnJz6RpFEnhBBC7MsMMvp1LyGNOiGEEGJfJqNf9xrSqBOiEx1NPdI8tJqZRsSa5BHNphRxdBCtg22GVYNOLjnOIAoYQr4pJE9FiCgXVyvCjibH1RSHFINDUBYylIXjFIfiFIRi5Edi5BXGiJQZAgcGUAeVYQ4/FAoLe+359yhwpDVEIh0WsSWDsCWDYHzHp3KBoalHT+lnV5L4ZzXb3y6mMRogHEoQya1DKUvVzhze3TmOl3YdwzvVhspYFGstuU6AfNdFKahJeKyzW9ngv0ZNdAOe34Dr5JATHESuW4pWARK2gbr4Vhrj2/C96tRUMw5KhXCdHJTSGBPHN41YE8tMuaKUBqVRqSlXrPVSodmmFSCaT1mT2d4qxNdBuDQrRLh7K0V0JeTa+6HW3jhf34dCB3pI1preyakT/W/vTm4QQgghhNhHSE+dEEIIsS/rtfBrz08hemZAN+p+8pOfMG/ePC655BJuu+22dss9/PDDXHPNNXz88ceMGTOGm266iRNPPDGz31rL/Pnzueeee6iqquLYY4/lrrvuYsyYMX3wLMRA1t6I1az9WSNXDVibtaJDcjSjCzhZYZbkigpBXCdMQEdwneToVYWDowK4hIhQQKEpYYjKpzwSoCSkKQlZch1LvmsoDPgMCjWwX1EtQz5VT+iwAtQh+2MPOiAZsmzGIp+pXWWmTMaZMpmyNvYVACNXv8jnHvwP/3m1jNer8qjzNLmuoTBgcJRleyzAWzXD+E9VEe/l/ofa+CYcHaLArWCQ3Y+ICdOgGtgaCmOtT4NpBBNHoXB0mICTg9YBfBPDJgyWeNZrp5SLUoGmDTa9SokFZUiGTNOh/KbVKlpqGfZLr+DRpGsjXTsLte5+mLU/gkXdueaei0m29dr0m7bfPt0nH0D9bsCGX1988UV+9atfMW7cuA7LrVy5kjPPPJPzzjuPNWvWMHPmTGbOnMnrr7+eKXPzzTdzxx13sGjRIlavXk1ubi7Tp08nGo3u6achhBBCCNEnBmSjrq6ujrPOOot77rmH4uLiDsvefvvtnHDCCXz/+99n7Nix3HDDDRx55JHceeedQLKX7rbbbuPqq6/m1FNPZdy4cfzud79j06ZNLFmypA+ejRBCCDFwWWuxpucP0f8GZKPuoosuYsaMGUybNq3TsqtWrWpVbvr06axatQqAjz76iMrKyqwyhYWFTJw4MVNGCCGE2GeZXnpIu67fDbicugcffJBXXnmFF198sUvlKysrKSvLzowpKyujsrIysz+9rb0ybYnFYsRiscz3NTU1XaqP+ORSqDbz6rL/9tHJnCZrk/l0mdymQNZ0JZDMi3J0MLkahJNLQOcQVBFcFcYhQNBGKDCFDNK5DAkHKItoSkOGkqAh3/XJD3gUh6KUFtZT8qkooaNKYdwBmEMO2dO3Yp9nJh5NeNN2xmzfQn3CZUc8SMTxKQnGCbs+hYEQjX6E7Y05bEtUEHPrAHBViIgJk6dCONahQQ2i3t1KNBHBt4nMSg9aB3CUCxq0DuIb3eoXYjqPzeKkpsrxm+1Mv9fSOXEmM51OpkjWfgC/VT5dZ7lwHeXSdT2PbkD2HXRRe3Xv/fy3AZVjJz6xBtRP2/r167nkkkt44IEHCIfD/VqXhQsXUlhYmHkMHz68X+sjhBBC7BG2Fx+iXw2oRt3LL7/M1q1bOfLII3FdF9d1eeqpp7jjjjtwXRff91sdU15ezpYtW7K2bdmyhfLy8sz+9Lb2yrRl3rx5VFdXZx7r16/v6dMTQgghBhxr6ZWcurYjHaIvDajw6/HHH89rr72Wte3cc8/l4IMP5gc/+AGO03r4/aRJk1i+fDmXXnppZtuyZcuYNGkSAKNGjaK8vJzly5czfvx4IBlKXb16NRdeeGG7dQmFQoRCoZ4/KfGJ0f4HkqHllCbNj1GkQiUKsGBToRmVCp8opfHSqwNon7htxFEBEkRBg2s0wZhGK4j6iqqEQ1A75DgB8t0wg+pzGV5dz/DKneS//wLu6x/AqArs8P2wHfxhIrpGbd8GtXWQn4ctKETVVKNefYOG5Zt4Y+1Q/l2dw86YIuy4lIUDFAYMjb6iKqGo93yiqo64V4NvPRzlskvnYEwxvvLwVCLrWtb6WOvhmxjo5PsmGWbTzcL/2WE3pXTqLZcK/bf1HNJlMjP06Kx9yWu3PgZ6a7qSPdM/0NUQb9+HKvd8WLb3V+PoQOu33e6fR/SrAdWoy8/P57DDDsvalpuby6BBgzLbZ8+ezX777cfChQsBuOSSS5g6dSq33HILM2bM4MEHH+Sll17i7rvvBkApxaWXXsqNN97ImDFjGDVqFNdccw0VFRXMnDmzT5+fEEIIIcSeMqAadV2xbt06tG76C2by5MksXryYq6++miuvvJIxY8awZMmSrMbhFVdcQX19PRdccAFVVVVMmTKFpUuX9nvenhBCCNHvemvtV+mp63fK2pad8qItNTU1FBYWkhxN1nqBd/HJ1PUVJdKFmvJG0vtUenRiy8XVU4uyKxVAqyBau2jV9HeUVi5BN5eQU0BEFZNLMRGbg2MdNBqNIoBLng5SGHQpDWuKQ1AUsOS7llzXpzDgURqOUl5SS8mBcQKHlsBhozEHHQiSPtC2eBy9/Glq/7SONe8O5f26CJ5VFLg+g0MJHGXZEQ/yVo3Lm1U+HyS2Uat3kWPzKbeDKA4G0Sh2xuN8pNayOf4atdGNWJsg4BaSFyonxx2EQhM1NdTFNhONb8OYRhQKpcO4Tj6ODmIx+H4U39RjTTwZzlep0dQqlAqrGqxNYG2CdCqAUk5mFZMkPysEmR752t6Iyq6EXjsO/3UvNNinocQu6puQ7e5fw1pDwttKdXU1BQUFvVinbAceeCB3jBvB54f3PJXjvMee49Cvf5Mrr7yyF2omdsfA+0kTQgghhBDd9okLvwohhBCi91gJv+41pFEnhBBC7Mtk9OteQxp1Yp/W2bxKFouy2d9nfW3TM26m8u5SKarJfaCIg1L47WQ6NKAgk3fnNuVQYbLyn7QKplanCKbyqVIrE6BxdIigk0v4yUIiWHJsnJD9kAAuLpqA0kQcl4KAS0FQURBQ5LkWV4NOVVsDrraEtCWsLTmuIagNIW0IOz45rkdOMEFeOE5Obpxgnod2wPjgNWoSMRdjFFpbwnkJgiUWtzSAzg8CYKpjJLZ4NGx1iTa6WKsIRxJEijwCxQocMI2WhkqHLdvy2d4Qod5zcZQlx/UJOx5KQW08wNZYiM1Rl21RRcxYglpRFLQUuMl7vyuuWN8Aa+tibLY7iKkoIRsm3+aTowJYLLuoo1LtZGf8FaLxXQAE3TxygqUEVQSDodHbQUN8B4nEDiw+SoV4K1BMxCvG0SF8EyOaqCbu7cL4DVgs8USCahOlTleilYuxHp7fANbL5G9am8Dza/FNIPUu8FM5mCpVRmfKZU1NgqIph67l+8nJSv1sT9aKJ6lzdJ7v1nmWzkDMmetMR3XuvXy7tq4hK0WIPUcadUIIIcQ+zNrW8xju1nl6fgrRQ9KoE0IIIfZhklO395BGnRCd6EqItr0/c5v2tf7EVCgMFmwCaCS9CJ5KTY+SnDIluVKAsfV4WQfrzJQWTSsGGKBpKT2lAijS5ZpLh3XdVEg3Gb4N6AhaBZKTqSgnVcf05CpOJlynVfJr1wZwCRGyYUI2RCD1cZLAI6ZixFQUSxQHl5DNJWSDhFVyOhDfGuqJUqdriao6fJsgoMIEbYCgTeBgSag4DaqWBruLqF+NxeCqEEGdh0tyupaoraHR20FjYhee34C1CbQK4To5hNx8tHYxxiPu1xP3ajB+fWrakAABt5CAk0M4WIwxCeJeHQ2xjc2mFnHROoTrFqKUi7UeCa+aWHwrWD9zD5UO4riFKDTGehgTy1wn/TonX69w0/23HtZ6qRVJVOb1avk6ZYUBm72OTaHD9Ovt0BSabR1abGvqkvbDj7s7zUnH9lSIdk9MTdJeXXvnWi3PPQDCsZJTt9f45CVCCCGEEEKIVqRRJ4QQQuzLTFMItieP3e2p+8UvfsHIkSMJh8NMnDiRF154ocPyDz/8MAcffDDhcJjDDz+cf/zjH1n7rbVce+21DB06lEgkwrRp03jvvfeyyuzcuZOzzjqLgoICioqKOO+886irq8vsX7FiBaeeeipDhw4lNzeX8ePH88ADD3S7Ln1Nwq9CNJMZodjOp1PWChPNR7pm7WsKXyYLpOIaqZCpVqFUaM/NCos5OkjAiRBxB5Gji8m3JeSYXFw0Dg6O0oSUQ77rUhxyKA4pioPJ1SXCjkmOXHUMhQGPITkNlJbUkV+RIDAshC7NhfwI5IahuABbPgS737DevXn9TO3cgXrpP1BTDwW5MKwMm5+H2lUNr7zLzmV1vPJxOWsbQiSMojTkMTQSI+J6VMWCvFMbYc1OeLu+ml16JwGCDLYllAZDOEpRk/D42Fay3nuFmsb1GNOI6xSSFy4j1x2CS4ioraY2tpnG+BZsakSs0qHUChLJ8Ktvonh+PdbGkuG8FitIABgTS4Zo0+FZpTMrTUDrUHvy62QovuurRPROmLW/R7529fq9ETpt61o9P2//h2Mt/TdQ4qGHHmLu3LksWrSIiRMncttttzF9+nTeeecdhgwZ0qr8ypUrOfPMM1m4cCEnnXQSixcvZubMmbzyyiuZ5UFvvvlm7rjjDu6///7Meu/Tp0/nzTffzCwPetZZZ7F582aWLVtGIpHg3HPP5YILLmDx4sWZ64wbN44f/OAHlJWV8cgjjzB79mwKCws56aSTulyXviY9dUIIIYToFz/72c84//zzOffccznkkENYtGgROTk53HvvvW2Wv/322znhhBP4/ve/z9ixY7nhhhs48sgjufPOO4FkL91tt93G1Vdfzamnnsq4ceP43e9+x6ZNm1iyZAkAb731FkuXLuXXv/41EydOZMqUKfz85z/nwQcfZNOmTQBceeWV3HDDDUyePJnRo0dzySWXcMIJJ/DnP/+5y3XpD9KoE0IIIfZlBjCq5w/bvXXR4/E4L7/8MtOmTcts01ozbdo0Vq1a1eYxq1atyioPMH369Ez5jz76iMrKyqwyhYWFTJw4MVNm1apVFBUVMWHChEyZadOmobVm9erV7da3urqakpKSLtelP0j4VQghhNiHWdtLU5oAnudRU1OTtS0UChEKhVqV3b59O77vU1ZWlrW9rKyMt99+u83zV1ZWtlm+srIysz+9raMyLUO7rutSUlKSKdPSH//4R1588UV+9atfdbku/UEadUKkpPPp0l+3zKtL5jY5TXl3KjkPgLI0y6ULoHUotTqEm5Vv4+ggrhMh5OYT1gUEVA6uCmWmBskz+QzSeQwJBymLaMojlpKAT67rk+MY8gMJBufUUTa0lrxDXfSnh2MPOxhbXt7pcxsAkybscbZkEPZLX2i9fTgw7nCKvgHHdXD81NpauHsJr/8znzeqRpAwirJwnGF5VYRdjy31ubywc3+eqRzKv93XqfLWEnIKKFcHMtQOJqQdak2ctZGPqFSvUx9dBza5EkXQLSAcKEKhifm1NMYMnp8ge3qZMFo3vWeMMWATWDQKMquOAFgMxgL4WGtS+XY6sz/z3Ju9/9JT5XSko/y0/s6d66k9tYJE7+fZfbLv81NPPcX8+fOzts2fP5/rrruufyrUC5588knOPfdc7rnnHg499ND+rk6HpFEnhBBC7MOsVdhuhk7bPg9MnTqVv/zlL1nb2+qlAxg8eDCO47Bly5as7Vu2bKG8nT9Wy8vLOyyf/n/Lli0MHTo0q8z48eMzZbZu3Zp1Ds/z2LlzZ6vrPvXUU5x88snceuutzJ49u1t16Q+f7D8JhBBCCNEzvTWlCckwZkFBQdajvUZdMBjkqKOOYvny5U1VMYbly5czadKkNo+ZNGlSVnmAZcuWZcqPGjWK8vLyrDI1NTWsXr06U2bSpElUVVXx8ssvZ8o88cQTGGOYOHFiZtuKFSuYMWMGN910ExdccEG369IfpKdO7DM6m64kWSh7upKsY9MLrqfCLcoaLBqUIR16dXQExwnj6GDW1BJKObg6SNgtIlcPJtcWkWfyCREgpBzC2qU4x2VIRLF/jmVETpT98+soyW8gtzBOsNAQGBrA+VQJ9qijsKNG7RMh1T6Vnw/fO5txIx5h5D8+pr46SP7gKDkHh1CFYUZs2ELJykbifimxLWP5IBDGsS5D7CAqckLkBRQ1cZdEw3DqgzuIJXbh+bU4OkjQzSXiFGfeEwmnHt/UY216nRAHrV1cHcakVpswmfePIb1aRNPqICa5Hon1M+G/5Ll11gojSpEJz6Z1FkbtSpi1o2lT+oPt4U9Db68g0fJ8e2LVi97Uazl1uzGnydy5cznnnHOYMGECxxxzDLfddhv19fWce+65AMyePZv99tuPhQsXAnDJJZcwdepUbrnlFmbMmMGDDz7ISy+9xN133w2AUopLL72UG2+8kTFjxmSmNKmoqGDmzJkAjB07lhNOOIHzzz+fRYsWkUgkmDNnDmeccQYVFRVAMuR60kkncckll3Daaadl8uSCwWBmsERndekP0qgTQgghRL84/fTT2bZtG9deey2VlZWMHz+epUuXZgYgrFu3Dq2bGsmTJ09m8eLFXH311Vx55ZWMGTOGJUuWZM0Ld8UVV1BfX88FF1xAVVUVU6ZMYenSpZk56gAeeOAB5syZw/HHH4/WmtNOO4077rgjs//++++noaGBhQsXZhqUkAwvr1ixost16WvSqBNCCCH2Yb2ZU7c75syZw5w5c9rcl25ANTdr1ixmzZrV7vmUUixYsIAFCxa0W6akpCQz0XBb7rvvPu67775293e1Ln1NGnVCkD3ytX3dDzllwkItPuw0GoPBNAscGZt6AAmriHkOjdHUCgImjnIT6MJ61M5d2FGjul0X0UV1Meqrg+yoycVaCA2O4QaT4c+w6xF2IKA1Bh9fJWgwMWJ+iIij0AoCuDgqQPr9Yq3BmGSYVaNxVCB7JKq1gJ8JaaZHTiulsbZZ2LTZfoOHxsXPrCzRtIJJ89CftU0ZBenQbHuhwawQ7QALr3ams/rubni2t0a2DvRwrLUKa3reqKNLn6NiT/pk/eQKIYQQQog2SU+dEEIIsS+zvbP2624t/ip6lTTqhBBCiH2YtfROTl0v1EX0jDTqxD6jw6lMMoU6KpOaWiKVD5M8n0klLhnAYKyHMvFMDlXztRw8E8W3Hp4TI6qrCeicZH4VmpDNIS+az5ZoHpsbQrwfDlIQCJHjWBwNQQ35rqH02QSf+vPHDN//VXIODqAPLofh5diKcuzg0t28M/seveZVqG/ADt8PO2JEctubb5JY/DwrVuzHc9tL2RGDQaESDlrvMSK3AWMLeK82lzeqLB/bSrbF38a3HtFgNV70EAbF8/CtYZveQaO/C99EsTaBb+qJebW4zi5cFSJhGjHWo/l7w9rke0dnfSQ7zXI9szNl0vl2yf/J5Mq1NXVJ+i2dKdMy60Y1/zL7+LZyv/pzZYndnmKknUyj3cm16408u95fhUKIJGnUCSGEEPuwXhsoIV11/U4adUIIIcS+rJdy6qRN1/+kUScEyVBq82lNWoZqLRZlwSq/2UbbVM5aIAHW4NkYyXBZcu2cdBmFIuFV06hCaB3MCm8ppXF0kICOELQFBGMRXJVcWic98YlLiDB5FNoSSl4aRmEgQG5AE9S7cPUucty3KAjAkJBhZG6MYXl1DCqpI7fUwylUOIUB9KAcqCiBUcMwo0aBu3d9BOj/e5SGJyup3xYkUpAgMkqjB0WwtTF2vWJ57sP9WLk9yPs1CXxrGRL+mP1y11EQsNQm4P2aT/Gf+AY2eP8m5tUQCZRQsf1QhlNGUGtqvEY+dj6gMvoaDdH1WHyi8R3Uh7eRq0pRyqHR30VdrBJrGlOvb4K4VwOAo4MY62FMHMgOwxkTx89aDUJjUytIZE1T0ixkqJWLxWRPkUIy3Ni0nVbnSH9vrWkVmuzO6hN9rSv16U4Ys7fCsr0xZUl/TnvSW/PUyZQm/W9g/cQKIYQQQojdsnf9mS6EEEKIbjFWYXohp65XpkURPSKNOiFSOhsdmw7Btlc2GS6xmcSS1iFcwE/gU49CtXu9jsLAWfuTq7W3cQIHpRyaL+6etVsF0CqI0ywEnFlEPrXAvMqsPuCilYvWbqtQlcVgbepBMoyntYtWAZzUiggAvvXwTQzfxLHWoJWLo4O4OoTWyY8gz8RJePX4JpocBaqCBNwcAjqCUhrfeiS8ehJ+HcY0gjUoHSHoFhBy83F0clRpLFFNwtuFNXFQCq0jODoXrV2sNcnzm0asiSdfT6VRKoBKhbrBx1oPa5Nh9oboenbqd3lLB0kHNoyNY0wsdZ8cfFNPTePH1KqNyftiDdYmQGk0qRVBbDIE2xRy91OvTyj1miTDpb4fbfY6a7QOZb0ezUNyLUe+prc1P77ltlZl2nx/DKwATm+MLO3uedoKy3YnJLunRsjuMTJP3V5jYP30CiGEEEKI3SI9dUIIIcQ+rLcmHxb9Txp1QgghxD7M0jujX62Mfu13A65Rd9ddd3HXXXfx8ccfA3DooYdy7bXX8uUvf7ndYx5++GGuueYaPv74Y8aMGcNNN93EiSeemNlvrWX+/Pncc889VFVVceyxx3LXXXcxZsyYPf10xCdYW7ltzXPcFCqZ1waZhJTW+502zpOaxgQnlc8VQKvsH0WlNFoHCTi5hNx8gjqPoIoAySlOADSagMohzxaRZ/LIUyECyslKtXOUIuJqCoIOBQHIcRVhnVylIqAgqC1FAZ+ycJxh+XWUltaSs5/BKQ6gNFjPYuMGtELnuujSXNh/CHbUcOzQitZTosRiEI9DMAihEO1RO3egduzEao0dMgTy85v2bd2KWvMa3ovria41WAOhIZbAmEJUWSHUNpJ4fTsfvFTI81sHsa7BIWGgNGTZL5KgJJggYTQfN4R4rUrxfm0jW9UOwibC/sEihuU6FAWhNgHr63xe89ayMfEqcb+enMBgKpxDGWIHE1IO1aaR9fpdKhteIxbfCtbHdYspiIwkJ1CKRtPoV1EXqySR2IGxidRrFyHgFienHEnl8nl+PcYkUq9vAEdH0DqYevuYZK6ejaXugoOjg2gVbLYyRDqH0SOdL9lWrmOre91OblZ3crY6u0ZX9dYKDlnn7GKuWk9z7Xo6/YmsIiH6woDLqRs2bBg/+clPePnll3nppZc47rjjOPXUU3njjTfaLL9y5UrOPPNMzjvvPNasWcPMmTOZOXMmr7/+eqbMzTffzB133MGiRYtYvXo1ubm5TJ8+nWg02uY5hRBCiH2FtSo5AraHDxko0f8GXKPu5JNP5sQTT2TMmDEceOCB/OhHPyIvL4/nn3++zfK33347J5xwAt///vcZO3YsN9xwA0ceeSR33nknkOylu+2227j66qs59dRTGTduHL/73e/YtGkTS5Ys6cNnJoQQQgw81qjeeUj4td8NuPBrc77v8/DDD1NfX8+kSZPaLLNq1Srmzp2btW369OmZBttHH31EZWUl06ZNy+wvLCxk4sSJrFq1ijPOOKPN88ZiMWKxWOb7mpqaHj4bMdB0aVqRVCyzZdlMaFU5qS0mtSpFOpySnI4iHWJTmekwklOGaOXiOhHCbiERp5iIKiRoI7i4ONYl10YociIMCQcoi2jKI4bigCHsGILaEHEMRcEY5UW1DB7TSPDwCIwtxQ4fhh08GHTv/L2myJ4jvtNgUSjUYdg1zZYMwpYManvfkCHY6cejp0NO8+00dQQ4wIGpR5fs2oXauRM7enTWZrVxA7GbP+Tx1SfxXl2QXMcyrqieA8q2Ecrx2Lolnyc3H80/N47nlZyXqEtUUhgYxkgzluGhXByl2BqN8XbuW2xqeIVYfCtKOQTdYgrDwwnrAnw8auObqIt5+F4qOqACOE6YsFuIUpqE30jcq8O3Caz1MlH9ZAg2+THtmzi+jadqbgCdmUYmvYJEOkSbeX6p6U6ahw5bhgt7K7TaFd29VldCmx2FZ7sS3twTYdmehGS7c+3eYpEpTfYWA66nDuC1114jLy+PUCjEt7/9bf7yl79wyCGHtFm2srKSsrKyrG1lZWVUVlZm9qe3tVemLQsXLqSwsDDzGD58eE+ekhBCCCHEHjUgG3UHHXQQr776KqtXr+bCCy/knHPO4c033+zTOsybN4/q6urMY/369X16fSGEEKIvWEuv5NRJR13/G5Dh12AwyAEHHADAUUcdxYsvvsjtt9/Or371q1Zly8vL2bJlS9a2LVu2UF5entmf3jZ06NCsMuPHj2+3DqFQiFAXwkjikykdXm03BJuOf6FBmazYRFPoNTlyNbnRB+uBVaCSKwUE3DwCTi5BJzcTQjPWQylNQEfI1YMZbIZSYvMpdAPkBjRBrYi4UBSE/SKGA/PrGTV4F4MOiBLYPwc1KBeKc6FsCGbMAZCbmzzvHrtTe4niYmxxcavNdr9hBG8/j5M/+ADzf8+BZ3Amj8ZM+RK4LgVbtzJq0aMMemR/CjZ8hvfNLoptLgcXhTkg3xLUlo2NYdzth9IY2cUOkwyP5gQHU6JHUGwGE1MxCELUq8b3a1KramhcHSboFuCo5Cocvonjm3pIrdABGkeHcFMjZIHUyh/Z4VWtAk0rg5AcXWutyQq9NqUJ0CpElrWvD6VX7ehIZ+HazsKcPQlv9ujYPbAixZ5kbe9MaSL634DsqWvJGJOV39bcpEmTWL58eda2ZcuWZXLwRo0aRXl5eVaZmpoaVq9e3W6enhBCCCHEJ82A66mbN28eX/7yl9l///2pra1l8eLFrFixgsceewyA2bNns99++7Fw4UIALrnkEqZOncott9zCjBkzePDBB3nppZe4++67AVBKcemll3LjjTcyZswYRo0axTXXXENFRQUzZ87sr6cphBBCDAiZKUl6SHr7+t+Aa9Rt3bqV2bNns3nzZgoLCxk3bhyPPfYYX/ziFwFYt24dutnIvsmTJ7N48WKuvvpqrrzySsaMGcOSJUs47LDDMmWuuOIK6uvrueCCC6iqqmLKlCksXbqUcDjc589PCCGEGFgk/Lq3GHCNut/85jcd7l+xYkWrbbNmzWLWrFntHqOUYsGCBSxYsKCn1RP7gKYVINrJTlAKhcrkLEE65c6k5v/QODqIo4MEnDABHUGrABYfa5P5TyGVR74toZA8SoJBCkOaXBfCjiLXtQwKGkbkRNm/uJpBB0QJHloM+5fC4BLs4EHYVK6o6B129GicCRthezV21P6ZlTLskCG4nz+QQ1dW8squIeyI5ZLnuuS4ipKgR67r49kgJaEAufHBVOm1GOuhlUuICDkqRMgGqNXFuDpMHCeTW6WUg6tCyZVCHIjpGpQKYIln6pXOmQPQ2kMbF98aoFnOnNI4ys2cN51XB2Ty6VrmaKXz2dL5dK33Z+ftdft+dilnrfNcvs7y7jrKuesoh60/cu16uiKFEF3RrUadMYannnqKZ555hrVr19LQ0EBpaSlHHHEE06ZNk2k/hBBCiE8YQ+8MtpLRr/2vS3+CNTY2cuONNzJ8+HBOPPFE/vnPf1JVVYXjOLz//vvMnz+fUaNGceKJJ7a78oMQQgghBh5rm0bA9uQhrbr+16WeugMPPJBJkyZxzz338MUvfpFAINCqzNq1a1m8eDFnnHEGV111Feeff36vV1aIvtXO367WgkqHW0xqUwKsl1xVQiWnnjDGwzNxFI0oFcPYBMYkpzTxHQ/XCROyIXQc4iZAjaMJaEXYUewKaur9HOo9l/3r6ij/qJbckl24ueAUapz98lCH7I+ZNLHvbsdeTD/xNNvv+Zidu3LZ/7l/ET5xJPaIw1HV1fjPf8BH1UPZ3GDYqLYS8IIEa4eQ47oUBRx2xBU1iQQxW4dvovgmTsyvpcGtJWrySE5Q4ifDjUqDJbXyg4/Fx6TeQ1oH0MrFKDcrtJ/+31EuvnZT05qkQqtoNM3KolFWZ5YBSYdedbO/302z1Kn0cbrF3/emRXpVq/27OZVIe9oLXXYWou0oPLs74c6erE4hYVkxEHSpUff4448zduzYDsuMGDGCefPmcfnll7Nu3bpeqZwQQggh9izbW6NfZe3XftelRl1nDbrmAoEAo1usryiEEEKIgam3Jh+W6Gv/263Rr9FolP/85z9s3boVY7K7iE855ZReqZgQfaHN1SQgFWJVma9blrNYlPWSIRJrkvtToSCLwRhIkFyEPa5rU+E2L7miBBqtgzS6O6kJVBLWBbh+CG1SIxHRhOvzKNpRRImTQ1GwiLxACSGdrJJWkOsqBoeijM59nDHFVQwZVktklIsuzUGV5EF5CXbMp7CDS/fUrftE0Y8/ScOSDwGITChEffbT2EElqDffoerud3jg1U/xVOUwqrwYo94YzISnYFzRCzjK8lbNcJ6oVDwTe5XNDa+itcsOdQhbtoylJBAi6vt8aDdRFVuH51VjrUc0HmSn8zG+m0ChqTc78E1yAvX06GrfxIn79eCAl96nXLQOpb5Oj6xuNhIVnVydRJEK0WaPbNVorHJQNI1qbR6eBdAWUBqDyYRVm++31rQKt7a6n7s5b317YdvOwrW7E55tLzTb1yNmezssuydYwPRGi0xadf2u2426pUuXMnv2bLZv395qn1IK3+986RchhBBCCNG7uv2nwHe/+11mzZrF5s2bMcZkPaRBJ4QQQnyy9MbIV2uV5NQNAN3uqduyZQtz586lrKxsT9RHCCGEEH0oNZ11f1dD9IJuN+q++tWvsmLFChkMIT7R2s2lS+1TyTlL2iybzKfzsUol8+halrMWbBzf+pkPyuQ+k8nPUygSiR3URzegVHqKIL/ZNCkapQI4OohKTXEBYIyX2e/oICE3n7BbRFDn4RICqgBwVICwfYcik8zLKw4GyA0oAqm+ed8k8/NCDkQcRY5jCTvgaourIKgtYW0oDnoMCsUojkSJhONYq2iIBqmLB4n7mqBjKMlpZFBFHeHhDk5xCBv1SGyKU7UuxM6aHACK8hopGRkleGAeqjCC3dVA42v1rP2gmHW1eXhWURqOMWrILgpHxtERTeN6yzsflvLSzgI2NmoUUBExHJAXZVA4RtzXvF+by2vVDq/virLL1lOq8zmoKMioXEvYsWxs1Ly20+NF/99sjb4JQMkfRzPSBClxckgYw3rlsDb+MHWNH2NNnEDDIP5aP5rBG0YRsbnU6U1sT7xPdePHeF4VSmk2JGrYFfqIoC0AoDGxk8b4tuTrrBS+aaQ2tomEX49SGs/EkytN6AhWuWgVwmKI+/UYm0jlXJpkvpwOp1aScLHWYGwi9bYyaN00nVTzfLp0fpZSGqfFx3rzqVGsNU1TpLQTqNmdFSTa0lbOWFdy8drKu9udnLu+yrfb3WlQdjePUIiOdLtRd+eddzJr1iyeeeYZDj/88FZz1l188cW9VjkhhBBC7GE287dpT08j+lm3G3X/+7//y+OPP044HGbFihUo1dRlq5SSRp0QQgjxCWJ6a546adX1u2436q666iquv/56fvjDH6J13w25FqIvdRSezexv9gmmUv+y93tZZ1HJeSgy5az1kitR0Nhsv5Pan5wCJWEaaArHOigVwtFBAHwTpT7WQG10I9YmUlNcBNAqiNapBembTaWSvEZyOhXXCRN0cnF1BDc1hUaaQwCtAlmhMoWDowIEbIgwkGMChNCAppEgDTpEnEYUPhGbS74todAJEXYcfGOp9nPYSRU1egcWQ64tYpAZSokbJugoor5hi+ezSW+nzt+KowLkO+UM9j0KVBQNVNkGNusP2BH7kLhXSyhQSElwJMVUECJEna7lA/MySzd8RMLbCRhcp4i88FCKAiMYEf4MUeqo9jawqvH3mVBqwB1MUc4ohhSdgEOAerOd6vhG3om9jvEbQDm4TgHhQAmB8H5Ymwyb1sU2YxreT94fHcR18gm6BSilMcbDN3HqY1uwJMOqWgcJBYoyIT6LwTcxPL8xs4KE60RaheX81GsHyfCl1qEOQ3fp174tvRVabU/W9CtdvFbLMGNnIdruhmcHami2vbp19Vgh2tLtRl08Huf000+XBp0QQgixF7CoXhooIYMt+lu3W2bnnHMODz300J6oixBCCCH6mCU1vqunj/5+IqL7PXW+73PzzTfz2GOPMW7cuFYDJX72s5/1WuWE6Csqa5Rq2/vaW2EiEzZVDsm/k0xqdQmTWpnCQakArpOL1sFmoxo9rPUAjeuECQcKyXEGEdHFBGwIjYNC4+KSZ/IY7OQyOOwyOKzJD9jMSFYFhB3L4KDPsJwo+xdXU1TWQLAEVCBZZxXUOIPCqP0HYQ85ADtq1B65jwOB2r6NxC1/472XS8gNxhn2mUbcr34Gc/DBqI0bMA88wdK/fIm/bQiyPerxqYIAxw2JMb5iK6Gwx3sbP80/N3+Ov+9Yz3vRp7AYhkUmcAgHMDQnQNS3fNhQxxvBZ9lR9xrWxHF1ISU5oxmkRhIgSK3ayfbYu9RG12FMI0aFiLh55AbLCOsCjE3Q6FfRmNiJb6IAuE4OrhMk4OSh0fg2gWcaSfiNqRBuAKVdHB3KhAKN9bCZUdOpVSbIXmUivc/iZ1aaSJdtvr8nLH7WOTst340wbU/Ds70Zmk0e0zo829nqD7sbnu0rvbX2q7Tq+l+3G3WvvfYaRxxxBACvv/56r1dICCGEEGJvtnbtWpYuXcq5555LMBjkF7/4BRdddFGPz9vtRt2TTz7Z44sKIYQQYmCw0CurQUhHXdedddZZjB07lr/+9a8sWbKEBx54oFcadb3W97t27VrmzJnTW6cTQgghRB8wtnceous8z+Oee+5hzpw5vdKYS+t2T90XvvCFrLnp0jZv3szmzZu58847e6ViQvSV5lORKFTrvDqlyPr7RxmUbVp5QikXpYNoFcrM2m/S05UocHSEYKCASKCEsC7AVSEMyZUCDIagilBIOeW2lPJwKJUzpwhrS9CBfNdQEU5wQNEu9htdTeTT+agRpTCoEPLzsCXF2MGlnT5Py77xl7QdXIq78DzGNtuWzmiy+w1DXTGbL18BM1atJvHPNwh8qhDzjdMyZY8GJt73fxz+yzL+vO4MdibiHJof4djSBAcXbac+HmD1jgJCGz/P6khyapO88FBG2k8zOlhM2FVsbRzC60Gfhvg2fL8epQwBHaHQqaDYDCGh4uxwNxDzalLvFYOjwzg6lHyPECJBI42YZE6dNcmcOKXRKoCrQlh8fOvgm1hWzla6TNNzT65Ykc6nS+bd6azy7eV8del+Nzt3h+VoykXrTh7dnsy560pOW8vz74mcO2g/707snQoKkqvRnHjiibzyyissXry4V87b7Ubd+PHjs773fZ8PP/yQ999/n/vuu69XKiWEEEKIvmHppcmHZUqTLpszZw6e5+G6LldddRV5eXm9ct5uN+puvfXWNrf/+te/5s477+Sss87qcaWEEEII0TcsSnLq+tgpp5yS+VopxaWXXtor5+12o649xx9/PN/97nd763RCDAjp0Gz2ahEa8DMrRJBaoF3rYCb8igGbCnMF3DwigRLynXJyKSZAEIPBVx4KTa7NZaguYkRBgP1zoSLsURTwyHE9cgMeJTmNDBlVR+Qzg7DHTsOOGCEfnr3ATJqIM2lim0Ev843TmLHmN+yIH8CHdREOLfSZuF8lZRMS+LU+zguW92qLeKd2fxKmkbBTTKnKZ1ieJs+FiBNka+0wtrh5JBI7wBocHSLHFlBMPgnjE9ON1DqbiCaAVGhSqwAhlZec0kY5JFRDMtyXWRHEwVFuKvxqgChGJTK/TRUOWgVwVNOKIqgAhkTmuanU6iRZuviGygrzkgzbdjWE2Z0QbXfCot0NofbmlChtnb+z8GzTMdlh2tYhWvkp31utW7dut44rKirKhG3b02uNuieeeIIvfOELvXU6IYQQQvQB21sDHaQd2iUjR45EKYXtxmK5Sinmz5/Ptdde22G5bjfqvvKVr7TatmXLFlavXs0XvvCFrP1//vOfu3t6IYQQQvQhmdKkbxmz5wbFdHtKk8LCwlaPAw88kLPPPpthw4ZlbRdi79T8B7L1j1BmBn/bMlTlY/Dx8EgQI6FieMTw8DFYjAXfQsIoGnxNvedSEw9S3RiicYeL2VaPqtwKntfqmmL3qMpK1KZNbe4zPkR9RU0CdsUdahrCmPpkaN1RBjf1O9A3cRKmgYT1MRYCGoIOhG1yNCskR0obmwyBOihCyiFEBFdH0MqFVGhSo9E4OARwCCRHuqbC+kolV4pwCKRKuZkyWgVSZZJnUKlzaJUsq1UgGXZNhV41Gke5OMpNlk+tiNLpI32O9DHNv2/nAWTq1tEDkuHjzh6Z166L5+xuWd3Ff1nvoy6cv2UYtyv3u6/095Qmv/jFLxg5ciThcJiJEyfywgsvdFj+4Ycf5uCDDyYcDnP44Yfzj3/8I2u/tZZrr72WoUOHEolEmDZtGu+9915WmZ07d3LWWWdRUFBAUVER5513HnV1dZn90WiUb3zjGxx++OG4rsvMmTNb1WPFihUopVo9Kisrd/9m9FC3e+p++9vf7ol6CCGEEGIf89BDDzF37lwWLVrExIkTue2225g+fTrvvPMOQ4YMaVV+5cqVnHnmmSxcuJCTTjqJxYsXM3PmTF555RUOO+wwAG6++WbuuOMO7r//fkaNGsU111zD9OnTefPNNwmHw0By8t/NmzezbNkyEokE5557LhdccEFmahHf94lEIlx88cX83//9X4fP4Z133snKdWur3u0555xzOO+88/jc5z7X5WM60qWeuu7EfYUQQgjxyZFe+7Wnj90J4f7sZz/j/PPP59xzz+WQQw5h0aJF5OTkcO+997ZZ/vbbb+eEE07g+9//PmPHjuWGG27gyCOPzMyRa63ltttu4+qrr+bUU09l3Lhx/O53v2PTpk0sWbIEgLfeeoulS5fy61//mokTJzJlyhR+/vOf8+CDD7Ip1XOfm5vLXXfdxfnnn095eXmHz2HIkCGUl5dnHlp3PQhaXV3NtGnTGDNmDD/+8Y/ZuHFjl49tS5eufOihh/Lggw8Sj8c7LPfee+9x4YUX8pOf/KRHlRJCCCFE37C99OiueDzOyy+/zLRp0zLbtNZMmzaNVatWtXnMqlWrssoDTJ8+PVP+o48+orKyMqtMYWEhEydOzJRZtWoVRUVFTJgwIVNm2rRpaK1ZvXp1t5/H+PHjGTp0KF/84hd57rnnunXskiVL2LhxIxdeeCEPPfQQI0eO5Mtf/jJ/+tOfSCQSnZ+ghS6FX3/+85/zgx/8gO985zt88YtfZMKECVRUVBAOh9m1axdvvvkmzz77LG+88QZz5szhwgsv7HZFhBgIWq0m0dZ2azPfKwxYD2O9TKpdcoWAGFiDr1yUr2lM7MRiiOlkzoZnYvg2hsIh6OTSYIdTX13BtsYwBUGNq9M5VhBxcyjfUsKnPogz8u8bGTrobXKK47i5oHMV7n65qMNGYI79zB67L3sjddeDPLO4kLjRfPYz/yQ45zjsqFHJfb/4X/72/Cge3xTlA/0R6+pGEfVLmVifS1D7vFmTy0e1Cari64jHt1FjDetzN1NUN4JGz6E2YWlQjakLOSgUvvWIqnrqTQyFxiiDowI4OhkO0jr5cWzwM1OHOKl8uYCOJE9FU+4ZJPOyHFys8rHp3Ll0Xp1y0BZQAbAJUE35bc3PgQIH3cbKCa230SIvzHSlY6arv+27cK7+nhqlefnOpkZpLj1NSlevkbpSN8oOHJ7nUVNTk7UtFAoRCoVald2+fTu+71NWVpa1vaysjLfffrvN81dWVrZZPp3Hlv6/szItQ6Su61JSUtKtfLihQ4eyaNEiJkyYQCwW49e//jWf//znWb16NUceeWSXz1NaWsrcuXOZO3cur7zyCr/97W85++yzycvL4+tf/zrf+c53GDNmTJfO1aVG3fHHH89LL73Es88+y0MPPcQDDzzA2rVraWxsZPDgwRxxxBHMnj2bs846i+Li4i4/ESGEEEL0r15bUcLCU089xfz587O2z58/n+uuu67H5x9oDjroIA466KDM95MnT+aDDz7g1ltv5fe//323z5fO8Vu2bBmO43DiiSfy2muvccghh3DzzTdz2WWXdXqObg2UmDJlClOmTOl2RYUQQggxMBnolZVnLfD5qVP5y1/+krW9rV46gMGDB+M4Dlu2bMnavmXLlnbz2MrLyzssn/5/y5YtDB06NKtMepnT8vJytm7dmnUOz/PYuXNnp/lznTnmmGN49tlnu1w+kUjwt7/9jd/+9rc8/vjjjBs3jksvvZSvfe1rmcEXf/nLX/jv//7v3m/U9YWFCxfy5z//mbfffptIJMLkyZO56aabslrDbXn44Ye55ppr+PjjjxkzZgw33XQTJ554Yma/tZb58+dzzz33UFVVxbHHHstdd93V5S5NsW+yWJQFVOojr1noNfmtSYaNTCO+0mBNcr/1U8d6eNbDN3HiXg3JgKrBN3GsTQAGpUJUuWvZHCgkEM/DTSQXa/dMDGM9lNKEdQH5agiFtoQcOwgnFcax1hLWLkWBKMPynmZYjmX/SILScJSw4+M6hkggQVFRIwVjDO5hpXDgCOyQUtAaGhtRjY3YSAQ7YkQf390eMAbz498R3+ST87lSzBmnZO3Wv/szj96Vz3PbQxQH4cT9djD2y/XokYPw/l3J8sf34+73SnnW+xe+jTHureP53CMbOLzwQ3yreK16GMt2bOG1xkeJxivZEB7G+q2f5ZUdw8hxHbbH4rzB6zTEt2FsAs+vpdJ/CweX4ppiEnjsdJJhHNdpGhXXYHexQ4dwcGlQNSilCbn5eCZIwEmGWD0bA5VcvUGhCehIckoMNI4KoJTTFF4kOcUJOhWaTE15kp4Oo3kI1uJnhS7T4cP0L/Ps8zqttrWlrbBtK0q3WqWhTV2JNna1M6k7kctudFCl73F3WGu6FapN8zu47wOZ67qdrnqQFgwGOeqoo1i+fHlmyhBjDMuXL2fOnDltHjNp0iSWL1+etazWsmXLmDRpEgCjRo2ivLyc5cuXZxpxNTU1rF69OpMaNmnSJKqqqnj55Zc56qijgOQCCsYYJk6cuBvPusmrr76a1ZjszNChQzHGcOaZZ/LCCy9k6tzcF77wBYqKirp0vu6/0/awp556iosuuojnn38+M9T4S1/6EvX19e0ekx7ifN5557FmzRpmzpzJzJkzef311zNl0kOcFy1axOrVq8nNzWX69OlEo9G+eFpCCCHEgGSt6pVHt1rIKXPnzuWee+7h/vvv56233uLCCy+kvr6ec889F4DZs2czb968TPlLLrmEpUuXcsstt/D2229z3XXX8dJLL2Uagel1VG+88Ub+9re/8dprrzF79mwqKioyDcexY8dywgkncP755/PCCy/w3HPPMWfOHM444wwqKioy13rzzTd59dVX2blzJ9XV1bz66qu8+uqrmf233XYbf/3rX3n//fd5/fXXufTSS3niiSe46KKLuvz8b731VjZt2sQvfvGLNht0kFwe7KOPPurS+QZcT93SpUuzvr/vvvsYMmQIL7/8crvzuDQf4gxwww03sGzZMu68804WLVrUaogzwO9+9zvKyspYsmQJZ5xxxp59UkIIIcQAZem98Gt3nX766Wzbto1rr72WyspKxo8fz9KlSzMDHdatW5c1RcjkyZNZvHgxV199NVdeeSVjxoxhyZIlmTnqAK644grq6+u54IILqKqqYsqUKSxdujQzRx3AAw88wJw5czj++OPRWnPaaadxxx13ZNXtxBNPZO3atZnvjzjiiOTzTE3zFo/H+d73vsfGjRvJyclh3Lhx/Otf/+rWkqlnn312N+5W55Qd4JPQvf/++4wZM4bXXnst60Vrbv/992fu3LlZ3bHz589nyZIl/Pvf/+bDDz9k9OjRrFmzJqslPHXqVMaPH8/tt9/eaT1qampSq2Q47M5fI2Lvppq9J9oaQatavGdalsnsVyqZbdzOeTq8vlKAbrMuyRnqQzg6jKODWAzGxLPCwKBRKoCjg5lykBzNmxzRa7Cp/5XSODpMwM3FTZWz1uCZOAm/Hs9vACDg5BEJFhNyClA4eDZG3KuhIb4Dz68GNOFgKXmhoeToIgAaTBX18S00xrZgTRTt5JAbHkZRcH9CKo+oraEuUUlddDOetwuLJeCWUJTzKUrckWirqbaV7Gx8n3h8GxaL6xQQDg4i7BailINvYsT9ehJ+fTI8plwcHcRNrQDhWw/fxFL3x6C1m7ovIRzlZsoYk8BiMis/ODqUWcXBYDA20TRaUrm4OpQJj1rrYzBZ4c30vvQoV4vJWvg9E1ZtFmSx7fw6Tq5i0vmv6pYLy7els/BpRyHaput0XpeuhGm7Ut9knbrWTOlKvbLP2/2waHevAWBMguqGN6muru5yOHN3HHjggXxdHcPhBSN7fK7bP/obX5p7BldeeWXPK7aXa2vJ1bZ0d7nVAddT15wxhksvvZRjjz223QYd9M4Q55ZisRixWCzzfcsh2kIIIYQQu6PlUqqLFy/m5JNPJj8/v0fn7Xaj7rjjjmPq1Kmthizv2rWL0047jSeeeKJHFWruoosu4vXXX+/WSJLesnDhQq6//vo+v64QQgjRl5KTB0sEqi+1XHL1T3/6EzfffDOf+tSnenTebg+UWLFiBXfeeSczZ87MGrwQj8d56qmnelSZ5ubMmcMjjzzCk08+ybBhwzos250hzu2VaWnevHn8//buPD7K6l78+Oc8yyzZQ0ISwq6AgCIoSsQNq7lCaxW8VoVaUUuxi9Ra7s9arIJV76VXq3Wt1LZobbWovYpraSnuGrFsdQGpIptiwpo9sz3P+f0xk0kmmawEEpLv29e8kOecZ2Vm8s35nqWioiL+2rlzZ2dvRQghhOixXN01r57dmatv6FT69R//+Aff/e53OeWUU3jhhRcYNmxYl12Q1pof/vCHPPvss7z22msMj83w3pquGOLcVEszYIver13941SsTmyKk4YVJlRs+gkzOvt+0ylOUChlYRh+TMODUhZau7g6hOtG0/2G6cU20/DZmfisLCzlQ2sHh3Cs/5dNipFNlptHlk4nxbABCGuHoHZw0fiVRZbtIdNrkmGDx1A4GhwdvVK/qcjzuYxKCzAq9wC5g2uwMxVuQFO3x6CmyovjGqSlBck8VmOePhL3lJPBE+0/R10dxuZ/wxexuZ5GDsUdNSrp8zTWb4ADleiRw9CDhzQvX/1PIn/9kMgBF98Z+bjf+Hpi+VMvsOn3Yd4qyyHNcjl31A5yvnMq7tlnonbvRj+2gr88OYgnt2l2uvsY7cmjeMBIiocdRVZhgP2fp/D81kKe3FnBvyJ/xzb8nGZN5WvDbMZnVeFog5J9afx1VzUlgacJhEpJ8Q3iON9XGePLJc02KKuN8IH+hK1VbxAK78Y0U8lJO45hagLZpBPUEb40P2d3aBOVwR0ApHrzybaHk63zMbGoVhVUsYeayG5cN4Jl+vGb2aSoPGztxSFMkFpCupqwrkUpA0v5sFVKdCoTDBwdxiWMQyT2fjMwsVCY8T50GqdhBYPY7+2Np9Ro2m+t6RQdyfqimY2mQknep63l4zecx4wd//BMkaIw29X/rv7+29sHT7XnGpudo+17b6p+hREhOqJTU5oMGDCA119/nXHjxnHyySfz2muvddkFXXPNNfzpT3/iiSeeID09ndLSUkpLS6mrq4vXORRDnIUQQoi+SaG74CW6X4d/FVCxFgqv18sTTzzB7bffzrRp07jhhhu65IIeeughAM4666yE7Y888ghXXnklcOiGOAshhBB9jUs0fXqwJPvafs8//3zC3+snXW48vy7ABRckTqzelg5PaWIYRrPFcP/v//6PK664grq6OhznyJwFuy0ypUnf0HTqEUhMwUZTr2a8nq6f4an+Y6RMDMOLafhRsakvXDeEq2OpVeXFa2eR4ulPqpGDR6Xg4hDWtUR0EEt5yaSAgTqPIWk+Bvgh0wbLiB7fVtDPE+Go9BqGD9xHxvEmxvAcyEwFywSvB52Xiz766EP4lI5QoRD7Ln+SveWpjJmlca+8KKE4MO/3LPrrSN45sI/h3ixmDnU4a/x2fINNStd4eeLfA/n9ng/ZUr4C28rkRP9/cnZuLsNTHaojBmv2urwRfo/PK95C6zBZqccw2pzCcG8WHsNgbzDEFrbxZegDApEKPFY6/TzDyNPDSNMphIlQbpRTzi7qnAMoDLxGGqlGLj6dCkCYIAGqCVOH1k50KhW8mMrGwMTFiadoXaIrGdSnZuvVpxnbSgW2PY1JG+VtpD7bNX1JF02V0t7zNRyzYz/H2pu6TTxH6/u42uFA9frDMqXJpRRxXHrbXZ3a8uC25Uz7L5nSpD0aN0y1RCnV4Ziqwy11W7dupX///gnbLrroIkaPHs2aNWs6ejghhBBCdCOtu6ilTprq2s11u2K65+Y6HNQNbWF9yGOPPZZjjz32oC9ICCGEEIdP1/WJkyxWd5PhNaLPSUydJqvQ6Iup6a+eSsVGshmxY7nRKiq6IkM09ZqKbaVg1q9OEFuZQBFdvD3DM4gcBpGr++GPfQTrR62mKZtBqTajMjTjs6o5KvcAGTlBrBSN8oCZaWKN6Y+eMhmdG20xPzS/7/VCHg85T15ODsmfme+BOdz87Ud4Yu1RDE4J8dWZu+FHcwAY+MXnXHHda3z09lj2+D/GMv2M8GVzem4d4wr2UF3rA/qz5YuR7DL+iRMJoJRBjpHGkDSTNAtSar0cqMqjzLBiq3kEMbDJ0KlkWB4iroeI61AVG/Xo6ghKmdjai1/7UdogYBg4KkJEB+OpSSNWx8TGIYyhTMIaIBxPvZrKjt+nxsVtkl5UNB8B23jEa2JZ/b6J+3R0VG3T4x/sqNrm15fIbHqPraU/Vev31qx6kmfVVgq36fOJ7xcfuXz4mr3crmqpO/hD9AnDhw+Pj0/oiOuuu45rr7221ToS1AkhhBBCHCaPPvpop/Zrz/RxEtQJIYQQfVhsuFeXHEe0bcqUKYfs2BLUCSGEEH2Y1gqtpT9cbyBBnRDtFO2LF+tLVz8LvY71q8OIlZuYhgfT8GIZHrR20Sr6MpSFZfrxqjTSnDTSTBufaeAClhv9Qs2wLfL8MDglzODMKvoNDWAPsFFeE+UxUf3TYNzIeH860bXSJ/oo+ChMrjeIcVRuvPVCDxxEzvgIBesN7Lro9CK2ocj2hsgeFCC9JsjA/VnkGGkYykOE+iloDNIs6OfR1EQM0pQPUzWsVGMoE48ySTFNwobGH/JiKV+0j5tqWDHC1jYmJlq7BKnDxI6+pzAwsTGxsbCiK0docJUdbzapn+7E1Fa0P51yUcpI6OOWrE8d0KzvXdO6jY+RrA9eYv+2jvXBa9fx2+iH19K5oudrq89gg6b98RKvoYU2rhb6zLV0PfHd4vcpQZboOAnqhBBCiD5M0q+9hwR1QgghRB/WVStKSFTX/SSoE6IT4ikXHYmna6IpWAfHDWG4Flq7uDqM44Zw3QhKGRiGTcCspNwoBwdsx8LBoU4FMVBUOanYhh+P4cEgh/JaHykfh+PnTfFVkvP2m/jO+gy3+AxITe2Guz+yGf9ci3vyxKRln75os6rMQ3+fl5HLPiN7wg704CGo/fuo+VSzL6CpCe3GcUN8YQTYUZPC4C+iSw2GXAMDjWl4UChcN0LAjVDneAi40Sl0bBVdJcI0fJiGN7o4PDqWwAdTGXi0H9tIwdVhTGyM2LoQBgpTW9jKS1h5QUdTq6a2sLAwtYURS69q7cazd5a2UbFELZgo7WBg4KrEthlDR9OF0e3R1SnMVlKI0dRo8hRmfdq2aVq3Yb/k6dRoecsp2/jx66f9aPP6aPVckCyF2/pM/83Txi0fu+FaEs/RWjq3YSeZrEh0nAR1QgghRB+m6ZpGNmmo634S1AkhhBB9WHSZMBmY0RtIUCf6nBZXkohXaChvXFej4ytIREe8xroXax0r02g3hAPocDTd6uoIrhsEHQFlxFcSqLX2sdeMLdLu1hGJ1OHi4jFT2RYYysc1g1i7N400OwuAgOMScjS2oei33mTYSjj6f0oYmlZLtr8O23YwDE1Keoi00QbmV8biFp3cxU+u51Olpai31+JedF7S8tdO/xvLtvsYnfkGP/zPTzFv/XZ0v7172P39v3HL+oG8VPsUaXY+Ve9O4co5axl5wkpqdpm88NFwNtbtJRDag9ZhPlEf887eEwi7hXgMl0+qLardOmwrlbCTiWFYVOoAZXU+Qq6iMqQJaxePSiPVm4ehbCxtE9YuASf6vtJaYysvPpWBq8J4VAqma+HG3l8Alraw8WIoE0NHR78aOpqkdQEr9rWuYulUI7aqhBFfBSU68lU1STsasRRl/XYTq9WF6pumbxP+HdqZFm12TO0kTdk23be1dGq0nkNbaVSIplJbu9bOnDthH5189Y127asOX7uXtNT1Hh1/pwkhhBBCiB5HWuqEEEKIPkzL2q+9hgR1QgghRB/m0jXz1InuJ0GdEI1E+8ap+P83r6ABJ6Gkvp5GR6c4cR1cgrHShj53aKJ97pwq6lRZdFZ/7TZMi6I1KMV+tYntZiqm4Yv3y3OcAI5bB4BheLHNNLxWOpbpRxHru6ejU5/4rCyyfhki391NP8tHqmWiNYRcl6DrYqDwWwYploHfVPgs8JuKVEuTYmoybJdM2yHNcnA1VEUsqiMGttLk+cIMzagkf3AlvgEG2tVUbTH55IscvqzzkWlHOLZwD7mnGRgTh0NqCvxrC188F+TNnQVURkzGZ1Vx4um7sS+cgB46GLV5CzV//IjH3x3Bu3tgQIrBhYPKmfiNatRpY2F/BTVPfcJv3hrJn7/cRZ2qoTh9JHNH7mP0WRUoj8Hnb3p4dPNAHt27mi+q/smA9I+4MmcyM4fvpn+/ajZ/0Z8/bUvjL5WvsLdyHZ49ufz5wekU/eENBqXCviC8X57LmshzVNd+Rp25h2dUGp+sG8fgf+fgaPi8Jshu9TmpvkFo7RAhyIbyKspqU/CYJpWhELWqjhzP0aTZ+XhVGmEd5ovaAPsCFo7WBHWEdJWDbfkwtEGKTidImMoIKKUIE8GrfaBycHGxtIWFiUv0fefiYmLh16nxqTWi/eqiX+XRFSWs2JQliV/viVOWtLyqQUurSzRlanCTrL4Qv44WtNYXz1R2i8ds63oSzqHb17NIdTCUSbbaROsnsFpdPaI1prR7iU6QoE4IIYTow6KDdLrmOKJ7SVAnhBBC9GHRcf1dMaWJTIvS3ZTWElu3R2VlJZmZmURnUJc3bl+johOWtFjWWON6CgVK0TDQvFE6Nl5uopSJUlZCOlZrF4VCKQsjlo41VGxRdjeE44bQOoxSNqbhw7ZSMJSN1tFVLSJOLa4OorWLYXgxDR8eKx2/3Q+vkYbCIKKDRHQQrZ34zPgGBh4jjTRyyNBZ2NrGQBHBJaDqqDD2EtTVpKhsBjqDKfSmkOGJTqdRGXLYGaxip/FvAm4lA4zRjPcOZESGIsWCyrBic3mEDZFP2RlYg8/OYqJxNkW5KRyV6hBwFf+uVJSU72ND4HlCkQMMzDiVs71FnJQLKaZmW43JP/fWUhJ+ifKaTdhWPyamXcJX+uUxMMWltM7g/f1B/qnfYnfVBrSOkJU6iglGMSdkp5Htgd0BWFtxgI8iq6is+wzbymZg6kmMV8eRn2ITcjTbamv41PiQA8FtmMoi2zOco93R5Hl9mEpRGY7wpVvOfqOUiA7gJ5N+bh45RioewyCsXaqcENWqlqAKYGDgc/2k4sOOTaMR1A5BwoRVNHVuahMLExOzfn0SIri4uOhY2lJpIyG92bjMja1r0pgbe6+1lgZsmtJsKUXa0jFa2t7q9CUHmWZtLY3bkfO093zNjttsJYr2ae95XB1me/lfqaioICMjo1Pnao9Ro0ZxbuhURqUdddDH+tPnzzDjJ5dw4403dsGVic6QljohhBCiD9N0Ufr14A8hDpIEdUIIIUQfFptGXfQCEtSJPq+10a4N6VNQOnlqVWFCLJ2mtdMwU79SsdRoKobhiY5kdSO4Opo2BRPbSiPFk0OqlYdPRVMsQV1NWNeitUuKkcMAdxjDvZkUphpk2GAoCDiKkKvxGIo8n8uI1CAjssvpl1OD5XdxggbBWgvHMUjNDJE6ysA8cQh6wrHovLxD+DTb6yvA3DbqXNhG+VTU758m+H4lnnsvalaqto/kkRlbeeHzCKfne/ivG/fjfvPMeLnxxHL++7Zv8GDZP0g3C5g34Dh+MPMzzItPg51f8u876vj5hpP5S9VaHKeKoZ5JzBicwtcGl+L1RvjnF/k8tT2HfwQ3UF67hX4pIxllDqeov4c8r8uBsMWHByzeD5azW3+KpXwMUCPob/vI9Zm4wP6Aw66QQ6WqxSFMCumk4SfdtLGUIuhGU7i1qo4IDgYGXky82JjKwEUT1g5hHcFREQwUShtYsfQtRNOvERwM1ZCWVU1Gh2rlxtO0EB3Z2lh9erXpWgrJUomtpUUbp2nNJj9+2hol2vRcTa8xeozmKdGm50l2rNa0dD+mslvep6OjZJvQXdTDrb1cmaeu15AVJYQQQgghegFpqRNCCCH6OFn7tXeQoE4IIYTow7oq/SpRXfeToE70aY2nI2k6bUmz6UiUm9ivLtafThkeVKx/jdZhtBuKFhseLDMdr52J10zHVDaODhNx63B0BI+ZSpY1mAHOEAaYaWR6TExDEYhoIq7GYyoGpRqMywxRVPglBRMCmEPSUSkeCEWinesG5eKeeQYYzXtSpDf5e2/sCK3nXIynpbKhQ7ly/VCu2rULXVjY7P7db87gZyd+TN7MczCV5ts3lOPOvDJab+RIRpwN1571Im9/OJGymg8Yaw3k0mO30e+/z0Tn5vL1pc+z8/eDeGdXFnsi+4noIAV+m8k5tRydc4DSijRqI5n8u85PwCnHUDaGOZJ+PpOhadFrMJXJ/rAHhzABqvEqP15MMmwLrwm1EYOw6xLUVmzaEwMbC59hYcf61AVcFRu+GD2mhRGdFCXezzM6zYmrdXzKk2bTnsTKWtK0v5uO9zMzm9TTSfu61R+jaZ+8+PFam/qkHVOXNPT5a/1HWntXd2h8PS3dT/NjN/Sja+s6WjtfPaedq2II0ZgEdUIIIUQf1mUrShz8IcRBkqBOCCGE6MNkSpPeQ4I60eu1thpEe/cH0BgQS7FEtxmgLAzlRSmL+uROfWrKNPzYZgo+K4sUIwsDG5cwIaMOjYNfZTPAGcJgbzpD0kxyvGAqCDmKiFZk2pqxGTWcOOJLMqcX4J51Cjo7W34b7iBdWNhimTt6NBcdu5rqai/uzJnNyk/++n5GvH8clfbn5PpM+p3mQQ8fDoC6fBonPvMu2bsK2a41Wruk2YqhmRXkH1tH2s4AgyvSyVApaO3iEkZpgwxb0d8bwQCqIxYphoWhY6t5aAOPaZBqK3wmKKWoiZjURKJJU1Ob2MrEZ5h4TIUTezO4bvT8ADbR1Gx9+tXBRWHjaDch/apiU5zoWOq1tfQrNEkR1p83yT4dSeMmHL+lNKtu/ZjtOXbDoTq4akQ7V63oyDW0d9+mK9UI0R4S1AkhhBB9mEsXzVMnv3F2OwnqhBBCiD5OBr/2DhLUCdEGjW41FRKd/T2aOqlPgdX/v8ZF6+iy7AARHSSigwC4KrqQe8TVhByojVYh5CocrbGUoiZiEaixydhbhfHFruhZDAMVDqH9KZCaekjuuS/ZXprNrlo/g7dujadW6ym/jYumLnyAA0EXZ18gPmO7zsgk3RMmxU0FZaJx4ulQZSvsFJc0yyXFsLDNVDQuFiamAq+hMZXGb2p8poE37MNRYWxsbMPAa4DHUISNaLnHsYloN55atQ2FxzBwtEZrA0c3jCu1UHgMEzOWXnW0QrkullI0jFmNlhlK4aLRscRkfZqz2ehYNGCiW2mK6UgqNmkatFHVttKtXZWOhVbSvk2uqSPn7uy1NHY4R7922ZQmotv1uDHTb7zxBueffz6FhYUopVi+fHmb+7z22muceOKJeL1eRowYwaOPPtqszoMPPsiwYcPw+XwUFRXx3nvvdf3FCyGEEEJ0kx4X1NXU1DB+/HgefPDBdtXfunUr5513Hl/5ylfYsGED1113Hd/5znf429/+Fq/z5JNPMn/+fBYtWsS6desYP348U6dOZffu3YfqNoQQQogjgkZ10Ut0tx6Xfv3qV7/KV7/61XbXX7JkCcOHD+euu+4CYMyYMbz11lv86le/YurUqQDcfffdzJ07l6uuuiq+z0svvcTSpUv56U9/2vU3IYQQQhwhtKRfe40eF9R1VElJCcXFxQnbpk6dynXXXQdAKBRi7dq1LFiwIF5uGAbFxcWUlJS0eNxgMEgwGIz/vbKysmsvXBw27Z3OpLV6uslMTtF+di7oSKxPkws4aB1B6+i0J44L4YhBHQYRtw6lDCJuiIhTh9YuAauciB0k6AznQEU//Moiol0COkKYCGnKy5YqH5/WDOH4L+sY+uxGfN5/EQxZVAc9mIZmQP9K+v1HGu6FxZCZeTCPqff65WOEy8LYd85pVmQ89QK3v59KqVPJ0Kv/xdiViX3qvlgJn5tbCYXK+Di0m81vZXHsxo24Y8divPImu+v82ESwrX5YRgo1Yc2uqnQyPglQV+ulzlH4TEUmA3F0GJ/24GiodQxMpdEaPKYiM5SBiUWaTsFjNPRnsxR4DCM67YmrMFHx6UwsAwytcLTCp00MN7qfqRS20TBliaU1plKx/nfRRVIS+sypaD8xrZP3qWvch6zlPnLJ+tMlV98/L+lx2hg+2b6+dG3XSTY9y8Eesyv2aSykZeY40XE9Lv3aUaWlpeTn5ydsy8/Pp7Kykrq6Ovbu3YvjOEnrlJaWtnjcxYsXk5mZGX8NHjz4kFy/EEII0Z3qB0oc7EumNOl+R3xQd6gsWLCAioqK+Gvnzp3dfUlCCCHEIaG74CW63xGffi0oKKCsrCxhW1lZGRkZGfj9fkzTxDTNpHUKCgpaPK7X68Xr9R6SaxZHBo1GaQAnmrPSOjHNpDVaOWg32GjVCrdhWhPtENERHLeOgLJju4TRbgiNJhg2qQvu4YC9jW1majw9G47U4LghTMOD38kmq24oubsGkqZTcdFUqSoqjV1oXNJ1P4b8PZOjb/0XQ1Ihy3YxlSasFbbSDPCHGJ23l/xJEcwROQC42w8Q3B7CCULKSBt16VnowUOaP4BIbI4V69B+TRgb/oU7YXzysvc/YPW12znp3L2oG69sVu4sXMqc3x5Frt/g7lv34X7rwoTyHV9/kqmrqzkQ2c6vXnmVby4/On6vxlMv8D+LMvlrze8JRyq49V/Xcu9FjzPgxjHorEwij7zO81uPRnEAv28wQRVg5ZcFZP1sAzlDSti7PYV/VxWSaYYZmn4aGW4/HA2bKlOo3VZA0DXYFzJJtTXDQkcTwSXb9hDRmn0hA1NBbSw9m2v7SHc9eA0DrxmdeiSio0lC24B0y8LrGiilsJXCVNFJdsxYetZAYxvR/QyiKdhY9hWtFWbsWFrreFq2sfq0Z0v9qhqnEltqjWkxNduR+rFLc9to8mmrS0VHEpcdSZO2lR7uinPUM2XhLtEJR3xL3eTJk1m1alXCtpUrVzJ58mQAPB4PEydOTKjjui6rVq2K1xFCCCH6qvoVJQ46/drdNyJ6XktddXU1n376afzvW7duZcOGDfTr148hQ4awYMECvvjiCx577DEAvve97/HAAw/wk5/8hG9/+9u88sorPPXUU7z00kvxY8yfP58rrriCk046iUmTJnHPPfdQU1MTHw0rhBBC9FUa3WbrZ/uOI7qb0p1tTz5EXnvtNb7yla80237FFVfw6KOPcuWVV7Jt2zZee+21hH1+/OMfs3HjRgYNGsTNN9/MlVdembD/Aw88wJ133klpaSkTJkzgvvvuo6ioqN3XVVlZSWZmJtFRW7LQsmjQeLWJpl+MyVaiaFynpZUq6uvEyxunzJp+ZJUisdHdjaeKlTIwjDQ8Vgam4SHiBgiFD6DdQMM5lIXHziXTPxSfkUGts4/Kus+JOBXxVLFpZjAg/USG6uOwMNhpfMbuwEZqg1/iunUYhpfc9AmcYpzF0DQPB4Iua8OfsL3uXQKhMsAgO/UYvuL5KqfmWxjAmr0ub4XXUFb7Ea6OkOEbxOlWMdMGWgzyh/igwsvfS6vZpN4j7NaRZvbneCbwH4U2YzPqKA14WVVq8K+6L6k2KkjR6QwmjxNzvRyfGUSj+Od+m7X7azlAJTlkMsDnI8ursI3o6OSgS3wVCI8BPhN8psI2NK6GsKuiaVANhgJLRctMFf0BFnYVYRec2L+JoYinRiF6bEdrnEadyJWK1oNo64bTRidzN/ZP3jQZ1zRl2nT3xqnUhjpJRqkm9ihIcv7EjcnrNNfSj5bWps5oLU3Z1k+q9qY4O/ITr1OjXrvgR6pGE9ZB/lHxKyoqKsjIyDjoY7Zk1KhRnFh1KkP9Rx30sV7a8wzfXHAJN954YxdcmeiMHpd+Peuss9BaN3vVrxLx6KOPJgR09fusX7+eYDDIli1bmgV0APPmzWP79u0Eg0FWr17doYBOCCGEEIdGR1d8evrppxk9ejQ+n49x48bx8ssvJ5RrrVm4cCEDBgzA7/dTXFzMJ598klBn//79XHbZZWRkZJCVlcWcOXOorq6OlwcCAa688krGjRuHZVnMmDEj6bW0Z0Wrw6nHBXVCCCGEOHy6YuRrZ0fAdnTFp3feeYdZs2YxZ84c1q9fz4wZM5gxYwYffvhhvM4dd9zBfffdx5IlS1i9ejWpqalMnTqVQCAQr3PZZZfx0UcfsXLlSl588UXeeOMNrr766ni54zj4/X6uvfbaZnPh1mvPilaHmwR1QgghRB9Wv6LEwb46E9U1XvFp7NixLFmyhJSUFJYuXZq0/r333su0adO4/vrrGTNmDLfddhsnnngiDzzwQOxeNPfccw833XQT06dP5/jjj+exxx5j165d8bXkN23axIoVK/jd735HUVERp59+Ovfffz/Lli1j165dAKSmpvLQQw8xd+7cFmfKaLyi1ZgxY5g3bx7f+MY3+NWvftXxB9FFetxACSEOtYbpR5KXNZa0j1zDXBEJHYwVCqWsWB0DtBst0068f5tSXizDj1LRj56rQ7huEHQEZXiwzHRSPDn4rCxMbEK6jrBTTcipwTS8pNn5DGAkA1UuGXb0GJXhCAfcWupUAK/2km+lMTDFJsMTXUWgMgSVIRdHa/r5TI7P0pxduJshJ1Sh/AYHPjBZvX0An9Z48BmaKQX7GHNtMe55/xG/b+P/XuKj34T4vNrPKaO+IP3RHzV/dg/+mTeWRRiVV0b+/10GnAXMbSjftYvlF27C0RG+cbvCPfcrsToNHjr+dVZ96XDrCZVMLbmI/wfA1+Llt49+k0U7nmVW1gzuXwqXnn1mwv6LRr3JrZ8uZmjWf/DM+KOYvnp6wz38cy13XVXDws8eIeLUcsPQedx5/ZfouZdEy0tW85cf1fCzrR+zq249Z3q/wf8boznr8grUmEG4723hH88U8MhnNh9FtpPr9qc4P52vDqjkqPwD1NR42LAnh7f2eNhSFQJgSKqHURmagf4whoI9QYttNSZldS5BR5NqG+R4FVkeja0g4EBFWFEd1oTc6EoQPhM8ZrQ/n6OjU50EIuDE3quWEZ3axFINoxgd3dBXEBr/9q7i/d90rK9gMo03uzp5v8+m+zb/TKmk9eL1Ozg1Slv7NezfPh3pTt7ZJbQOZlUJ03U6ve+RojMrPpWUlDB//vyEbVOnTo0HbFu3bqW0tDShdS0zM5OioiJKSkqYOXMmJSUlZGVlcdJJJ8XrFBcXYxgGq1ev5sILE6dGaklbK1p1BwnqhBBCiD5MtzJQp0PHASKRSLNlNVua97W1FZ8+/vjjpOdoaRWp+hWi6v9sq05eXl5CuWVZ9OvXr9WVptp7LfUrWvn9/nYfq6tI+lUIIYTowzSxVt6DfAG8/vrrCUtsZmZmsnjx4sN5O32atNSJPqU+vZosBdts+hCdLPVqxtOrGgcVW0GivswwvJix9KrWEVwdwXWD0dn/DT8+Tw6pdi4eIw0DI5pedWsBSDVzKNDDGWr3I99vkmpFp9OoCUe/MLM9irEZEU4v3M2gyZ9jHtMffB7YV4W7rxblMVHH9sM964wOPZMcGic4o5qmsNyLzmPMRTCmlePoa2ZxxjWtlBcWMn11YdLj1/v++1P4fivnuOnjM7iJM1o8xs//fQYzz92LabiMWjE9ocw9eSI//hC+OApWl+/jlh/uRM/9ZkP55CK+8bsP+PVZdXxS9yw56V6+8oNy3G9eGn2nnHka/5H+JE/dVsBnVW9S4z+OQf4TOPmiStSlU+m/fSdZ97/PhvIRfOHuJ6xCDNRDOCo1xElDSjFMly1f5rA/lMHWKpfqsIPXtMmwYWhKBL/pUBU22VlnUROJpk+VAq8ZTc/6zOjUKDWxhT4CsT89JniM6DQtEN0v5GrCLvGpWMwm06hoDZEmadXG5ZB8GpXGGn88ovVaXqmiqdbTvu1L93a0PHr8xpVanpqqM+nWg23papqqNdWR2eYyZcoUnn322YRtLa3OlJub2+EVn1paRaq+fv2fZWVlDBgwIKHOhAkT4nWaDsSIRCLs37+/1ZWm2nst9StadYcj810jhBBCiC7RZStK6GgaMyMjI+HVUlDXmRWf2lpFavjw4RQUFCTUqaysZPXq1fE6kydPpry8nLVr18brvPLKK7iu26Hpztq6lu4gLXVCCCFEH9aVfeo6qq0Vn2bPns3AgQPjKdwf/ehHTJkyhbvuuovzzjuPZcuWsWbNGh5++GEAlFJcd9113H777YwcOZLhw4dz8803U1hYGJ9rbsyYMUybNo25c+eyZMkSwuEw8+bNY+bMmRQWFsavbePGjYRCIfbv309VVRUbNmwAiLf4tWdFq8NNgjrRq9SnUJONbm1p9YbESq3UUSqWZrVQsdSI1qCI5smUsjENP7aVhqFstHZw3BCOsqKrNljpZHoGkqOGkuFmYGISJETICGJikUcmR2V4GZflclRqLf28QVwUgYiJaWiG5paTV2yj51wEltV8hQFkmR6AMX9vfeTa/37zU5b9dTj8sHk99/hxnJN/gLdqshiRaeJ+c0ZCuf7upQz91RuE91QT1NUMTQ2gLi1G5+Wh8/LI+vou+m9wCaoANRzAMoYwJL2anEmgUrzw5j4+LE8DIKwdwCbT1hT6A2R4QuwPeKmKmOw1FXWRaNo0xdJk2Zo0yyXsKkxlEHYV9f/aXkORYmk8sbxLxIWAqwg60c+BIpqaNVW0vkYRia2k0XTlEkPVr+HZ8shYaHiftT2yNTYCtoXjtHqOVsraGuHa8r6Jn+/2jpSNHrNzn672p3ITry3oHr6Vi+r71HWHSy+9lD179rBw4cL4ik8rVqyID0DYsWMHhtGQVDz11FN54oknuOmmm7jxxhsZOXIky5cv57jjjovX+clPfkJNTQ1XX3015eXlnH766axYsQKfzxev8/jjjzNv3jzOOeccDMPgoosu4r777ku4tq997Wts3749/vcTTjgBaHgvDB8+nJdeeokf//jH3HvvvQwaNIjf/e53TJ06tesfVDtJUCeEEEKIbjNv3jzmzZuXtKzpClIAF198MRdffHGLx1NKceutt3Lrrbe2WKdfv3488cQTrV7Xtm3bWi2HhhWtegoJ6oQQQog+rDvTr6JrSVAnhBBC9GHdmX4VXUuCOtFrNO4z19qqEW3Xqe+/kWRGd2XE+9NF6zmxfnjRbdEVJQxMZeEqA1dHotuUgWV4sFUKfu3HpzxYKAytMLSBjUW6bZHlUeR4IvT3B8hOq8VxDcJhE9t2yBoWRB03Am3Jx/Zg2CcX4v97y++NISlO7N8weZ0Cn46vCJLhCaEbT2I6ehg5nj14tY86w8RnQlZqHcawfpDmI+2zbWRvcUixLGoiJn5TkWFFyPYFyEytQylNdtBLqmUTdMBnQqoFmbZDuuUQ1goXi5BrYMT6f/oMTaoVnfIEon2xTCe6woQm2pfObDStiaM1jgsRHS2v74VqNOrC5cbKWu9X1/qKEcm2J6va+jlaLmyrr1p7Wo06MnWJbmFljTbP0am9wHAOX5860XvITwchhBCiD9PoTg8ESThOV+RwxUGRoE4IIYTow+rnmTtYEtJ1PwnqxBGjcXq1rdTqwWklYaJddLw8tjiO1qCi/+/GpjDRsZUmIk4AV4dQGARVFTXmPg6YKYTdMAqDgFFLUNViYBIOFWBVZeIxPFRFMkmvTCPkGtQ60VTg8AN1TKj8iLRwuMOrRvQ1+hd/QP30iqRlm35dy5JPXS7atQvdaE6qeqUBk3BkPzuqk7/HbEOT6u1PipFN2DWgrg7qZ493HNJthwKVjdfxkmGDZcXeI67G8Cgy7Qj9vDZgk+1VpNsOfjuMx+vgD4ZJtyJkeyxA4TE0GZZLquWQakWIaANHq9jUJtFT+gxNiqnxmdH3pcdV2MogZICLwlQaSzVMaeJqhaOjU5q49VOZNPk8uah4x/mWpyNp2Ke9adVkDTmdmu6k5aI29204RvvSm50Jdg42QNKAZUj6VXScBHVCCCFEHyetbL2DBHVCCCFEHybp195DgjrRIyRb7aFxirVpedORq+1aLeJgaY1WGqUjDdendfxPCOO4dWhclGOgcXHdIFqHAXB1EFdHCFmV7DP9aO0SdusIR2oA2G1n8kVoEJ+WHU22SsVSBrVukGpVSwSHHDI5evtIjl/tMjJtBel2mNqIxe6gl9qIQX9vmJOGlNJ/7mDc4rOaXb7x8cfo3Bx0bv9D/6wOoYrLH2XFpqFcuuYrSctvH/0mS3ZvYVfhM7iz/7NZ+X+/n81rVXfxwezvcNw/ZjQrPxCCVP8wAo5GLf0L+tvfiJep0lJSTJfjzXPIwo/jBjHeXt3wvDfvINO2GJuVRnXYS6HfxXEU7s5yVIqNU61Js8MMS/XRz6PI8TqkWxGUAtdRGEqTbkfI90ZIMQ1sBVmeCOlWBJ/l4Lhu/IdvSiQ64to2oqlXW0U7Bvi0wm9qwq7C1dERrwqNFRu07WpwdLSspdRn/UjPpuWNf/A3/QHuNhkd2t6UbMvXkHy728pnva1++onnSl65o8FNZwOZts4TcA5fiKS7KKiTqK77GW1XEUIIIYQQPZ201AkhhBB9WHTd6C6Y0uTgL0UcJAnqhBBCiD7MpYvSr6LbSVDXYerw9N8SbT7ngy2vr6PRDXXb6pSjHbRqqJvw263WaII4Tji2wU2o4zoOQTdIKLyP+p4PWoejx0QTCO2iQn3GF8Y/MQwPWru4OoTr1KBxUMrm1Zp0vPuz8VrpAIScGgKhAzhuANPwkLoxnwGrQoxUEQalegD4vCbEFv05lewmooOkGNmcbB7LN4a6nHn05wTqbN7cWcBbeyzWVe/hC/UJk81J3HvmLvo//a3oc9q+nZ3XlrB4/QD+r+pljlNn8vLlpXjunZPweP5y8itcvfkZUqx+fDxjOGlLr0ooL7/sD4x66V9UB8pYc8bFjF05I6HceGI5I67dzs6qd1g24Wqmrz4nsXzjRi5/uZB/un8neKJi9rqzEv89t2yhNqIZyyk8fq+fb57zOXrgoIb9X3mDrxbCiIwb8Fi7Mf79b9xRoxrKn1vBfw4Kc3TaZQxNCRL6qALvxo24Y8eidu2C597ghFyLH5tZ2EpTmFFN+LUy7F370WGH0L8rGZSRxte0IuQa5PiCANR+HESpIIFKi2xfgPFZipBr4jEc0j1hHFcRCNo4rkGaHWJwio5OlwLYhovXdFAqukqEoTQewyXLVrF3rsZUGkNpXB3dFu8zl2QVhPp3rKtVs/5syfrSNf1h33gqkMQ+donnStp/rpVjtbVv0+tKOE4rqz20Z0WH9gY0nYl7kv0btEetIVGW6DgJ6oQQQoi+TLf9+2w7DyO6mQR1QgghRB8WnVJd+tT1BkrLYm3tUllZSWZmJmBJ+rWXS0jHtlAOsfSualKvUbq1vlxhNtrXQWs3Xq6UhTI8EKujdXQKFK1dlDIwDD+WmY5l+uIrVDhuDdoNgbLw2NmkevJIsXJQGNQ5B6gOlhIM74nWAQwzhQHpJ3OycQqZHovP62r5l36DA7Wf4jiVABydfT4/HHA8Z/Y/wK7aFJ7/wsPLtSXsqnwX163jxMyreGKSxciFgwHY/at/c3PJEJaVP0ltsIxz06/mmW9/jn1nQzp289RnuHjtAUojH3FxxnQe+sUB3G/OiJcb6zdw1dfL2RTYy4z8PH66xMQ987SEx/nYia+xeq/i4iEBzv5VLu7JExPKd3z9SV7aUcClx24nd/6xzcojC37PmncGUHTeXswJg3HPTZwGRW3dyvYfvsdH+/oxoWAPA288JuEYxtvvsv/Xm/n48/5keEKMOnEfnvPHoI8ahqqsRL/9AZVvVrPzi2wA8vtVkXVMGGtgavT8O2uo3m6wf18qIcfEb4fJyAzgy4yAAU6dorbSQ3WNl5BjYiqN145g2xFMU+M4ilDIIhSx4ulYQ0XTrUpptI6mWh3XwHGbTPsTK69fHcKN/X9T8ZUjYqnbxhqnJevTiK3VaSsF21o6uK16hyL12t0rT7R2/FonyJUb7qCiooKMjIzOHbwdRo0axeA9p1DgGX7Qx3qncjlzb76UG2+8sQuuTHSGtNQJIYQQfZjuovSrNNV1PwnqhBBCiD5M074BJe05juhekn5tJ0m/9h7N0qstjGZtSK/Wz9HtxlOn0d2MaGpVWY3Kww3pVWVhGClYZgqGstC4RJxaXLcOANNIxe/tT5qdj09loHEJ6moCzgFcN0KK3Z9CjmGYmUt+ioVtQE1YcyDoENYuOV6b8f0Up+WWc9SgfXgyXGr32WwrzeaTqjQ+rzPxGjA+q5YpP1G4509NeA7G/73E7if3o7WKj3Jtynj/A2qXvIfv13OSlgPsveSP5D51eYvlzxf9gxm/7oc78cSk5VcPep1phQ7/+d7ZScvH9P81hc5gVu0/v8XygK5k696fJi3/as4KtNb87Zc1CatD1HvsxNf42fbXuGPYFGatbb5KxdavPc3P1uYwKtPm5z/+Av39mQnltd/9PX96dwQAXx++i0ELRuAWnQxER+sGHylhwz/zKQ95GJJezYiTyrFPGgDpfvh8H3Xryin7LI2KOh9+O0JuTjWphRHMVAM36BLcrag64KUuEB3N7POG8fnDWB4X7UI4aBEKmYTDJq6OrkphWS6GEX0fuq5BJGLguEY8rWk0St9CNN3p1KdXk6U+k5Q1G8kaHznbZGWJNlKwraWEW9svXreDI2hbO1Zbx+zIOTp7zHpV4SAXrvnVYUm/FpYVkd8F6dfVVcu5euFMSb92I1lRQgghhBCiF5D0qxBCCNGHabpm8mHJ+3U/CepE39Z09GqzMiOeqtUYsamKG31zKQvD8EbLdRi0C+joqFdlY5kpeO1MrNhkwkFlEXEswMDnyaafZxh5ehjZOjqZcK0OUmlFR6Tm6VzGZKQwLstlZFoNKVaEmojN/pANKIalVTDujH2Yc85BDx4CgA/oB5x44ADG+g8g1Y9bdGbS/jLuReeRe1Hrj8c9fhy+X49rtU5rqVeAC1YXt9pf5+HPp7S6/18n5bKz0m6x/Lz04/hr1aYWyy0Ua3kLpn4vaXl/b5iyynX4zDOSlqelBtnkfE5a7VDUMYXN+g15+kFpwMDVYJou7gnj42Xu2LHY+WsIOiZVkejXrZnnheNGoLOzUKmfYe+oxNoRfUKm4eJNj2AXejGy/eiaELi1hAMRIo6JoTQ+fxh/VgQzFXDBqg5hVlsYAY3WYJoay3YwrVj61TFwItEUrOsqlNIoBUZsclvXjY2ObZSebUq79enX2H3ppilW1er2+PNoetym5clGxyZNBye5xlZHwbYymr2NQKQ9kwe3dvzOnDMq3HaVLtJVU5qI7tcjg7oHH3yQO++8k9LSUsaPH8/999/PpEmTWqz/9NNPc/PNN7Nt2zZGjhzJ//7v//K1r30tXq61ZtGiRfz2t7+lvLyc0047jYceeoiRI0cejtsRRzplxIK1poxYv7rony6gVQSIBYPKxjQ82IYf2/DjNumT5zXTSSePXDLo5/GgFNRFbHyOBwPFQL+PkemacVnVjBy0F2+mQ6TWoOqAF8ty6TcmhHlVQ0CXIDsb9+wzD9EDObyG/+ErDH/utRZ/5JzRP8zmimEt7h9BE4iUJ6ws0dgAfx3aDZDtiSQt96eHqWAPdZHBMGhgs3Iz0yLgaBwNluWCx5NQrjJ9aBThWEBlZPpwCwshNRWqqjEyP8U0XZTSmIaL6Qcj2w85aShPHcaBILbPwapzME2N7XOx0sFINWJRkouOOLERjArD0Ng+B8PWKAPcsCYSdDFMA9cxUEa0P51hRp+odlU0sHPd+DGUanja8YAtFvw13d70/5sFdm7jeonPrs0gsKUgs6umPGmrb117Arr2rkbRwZUlQkm/c4RoXY8L6p588knmz5/PkiVLKCoq4p577mHq1Kls3ryZvLy8ZvXfeecdZs2axeLFi/n617/OE088wYwZM1i3bh3HHXccAHfccQf33Xcff/jDHxg+fDg333wzU6dOZePGjfh8vsN9i+JwU6rTeYH4gAplgHZaOLxBtEUv+md9V1WlDAxlYRpeLOXFIYxhWBiuhVImluHFq334TJNUW2EqhaHAxcZAkeFR9PM45KXWkDbExeznwa2JYKfVYdhgH5eHO3Rop+4rKg2oPojyrtD2NehcUOcWtVjjqLRqcr2ZLZZXUZMQTDeV6Qui0aRayVtGrBSXiA5Gg/YkHdaV38LR4GgwzObnUd7o16yrY++MFE80oANIT0P5LEwzOqegUmB46uv4wdUYPgNlOViWGy23XZStUD4zWh7WmF6NGXZxHQPTdjFsjemtvwKNGQv+lKIhqIt9+2tXoxyFjgVtLQV1RitBHUSDPoCmq1tpI3nwF30mLQeA0frNHmeLrXlm86rRuir5Z19rhdlCWVvhVOP7SHbepNfRwZYw2z2MQZ2sKNFr9Lig7u6772bu3LlcdVV0zcglS5bw0ksvsXTpUn760+aj2+69916mTZvG9ddfD8Btt93GypUreeCBB1iyZAlaa+655x5uuukmpk+fDsBjjz1Gfn4+y5cvZ+bMmc2OKfoag84M6I8GfCbJxhtFVwg2UMrEwMBQNmgwlI1h2BgYWMqH1/XiMw38lsJU4GIQdjWmUqRaiiw7QkZmALPAh5GfjqoOony1KK8JwwsP+s6PFElbI2MG5FSS7c1usTzcRhorxR8NqHxm8qDd9ENEB9FaozObB4/KFwvqXOKtXwl8Nqp+QmqlwduQStapaRheC8MMYho62mJnq2gdrwfCYbBNDDuMYcaCMRuUz4i+B1yNCrgoKxqkKcPFtDWGB1SswdAwooEbRMuVEb0OZdXnUlWsMVrjOg3BR31gp3U04MPQ8R/8ukmQot1oC2HyoK8hzVv///X1Gn9ytFbxDa2NwDWanLfxORqOFf2zacDVWstcW4Fawr4tBINNjxM/XpL6bX3jWEl+QThUXJAVJXqJHhXUhUIh1q5dy4IFC+LbDMOguLiYkpKSpPuUlJQwf/78hG1Tp05l+fLlAGzdupXS0lKKi4vj5ZmZmRQVFVFSUiJBXW/XWp+5jh4q/qM52WlirXXKAK1ARf/fVBaW8mLhxVVGtMVOBVHKwMKLHw+plkGapbCM6FQTWhuYSpHl0fT3BUgbFMEYMRAKclE1tZg5leD34h43tl3XHQzYeH2Htn9OW+c4lNfQ77gIhR+2fA4z9jXXUnl6v2D0T18w6fGtbBNXh6NpNr+/WblKjzaJuYDlSfKDON2PZYQwFNimA+kpDWV+P6R5sezKaOrVdDFSjGidzGg/S5XmwfQHsGwHZYDpBcNvotI80aAu7GLWueiIi+tEy00/KK9CGQod1kA0iDMisYDNAiMWuWgd3e46YDZpKcPQ4Cq02xCsNG30rP97Qjq2lRa3pkFPa+nZZPXdptfYgX3b2g7tSMm2cP72XE9rmp7XbiEzIERrelRQt3fvXhzHIT8/P2F7fn4+H3/8cdJ9SktLk9YvLS2Nl9dva6lOMsFgkGCw4Uu+srKy/TcijgwJAZ8BtPQl2jBPXXzXWFpWxYI3pQy0btpiZ8RSsDamsjEwMVQdhrKjQZ3y4lEmPlORYuloS51WhC2wDUi3NJm+IFaeBwb0RxcOgLo6lN8HqSlJA4xkvD4vh7rTdVvnOJTXYI3tT7ZHt3iOFO1HKaPFck9udN7C1JRQ0uMbmV60djFa+lmemRpPulupSX6Sp6dgGQFMpbFtBzLTmpT7sfwuHtPB442gUm3ITENnZ6IMhUr3YaZWY/lj6ddUhcrwotJ90fRrxEUHHMyIi+FG07dGqoGRElt6LuSCclFBHX8LKwuUVR+kaXQEjAjgRlvbEn8Xim7Trk5oXmoc3MUDmKbBXEIdlXR70r+3kZZNOGcr+7W0b2vHaOk4jbUUWHbkHK3vowip5H08D4UuW1FCdLseFdT1JIsXL+bnP/95khK3w5NIim7U0pc2ulFZ8mBOaweNA7r5D3uNRusQbiRM86/e6LFDbpBQeC/lajPxFG9sgmOFYp/6kM8MD6rawlR2o+PGRkKaHjxbUvG8k473ts/iExi7OoKhLLw6hUydSbbpJ902sIz6EYiaPL/iW6fs4JevDGbByyfy12+tYWhKgLyMavwpYVIGg5p7Pqu//S55vgADh1TgO3MA7qlNBiT96WX2rDfpf1fixMWN1Sx8gdRbk08MDLB7/t/Ju/vcFstXzV5Dni/IuIdPS1r+82lr2RcKcd8rk5OWXzL3A3YHP2bC2oLmhXUBPtXrqKz5hPV/+CPu+9vhwq+A1wvLVvB/L+Tz+7IP0biM+du7fHWgxbkFNfRPr2FneQav7/HxSvUG9lW/zzO1Wzgmaz3jfYXk+RUBR7G1KsRm/TH76j5F4/KnPwyk8A+/JlulYaA4oGvZqz6nKlyKo0N4Pk4l9dXNpPIGpjYJqxA17CfgVuLqMIaysF7y41H/jv57a5cIASI6gKMjsXS+wsQTax0GrV1cItH3RmyMtmrSJUDHorH6FJuR5DvsYNNv+pC1LPXMaKO1fppdc/zD11Knu2j0q+6h/1Z9SY8K6nJzczFNk7KysoTtZWVlFBQk+cIGCgoKWq1f/2dZWRkDBgxIqDNhwoQWr2XBggUJad3KykoGDx7cofsRfUFrX2IacGJfzk36IAFoB8eJBozJficPRyBQn9JN+CHtQqPthhGd4qTxD3Kzwub5vx7NnrrlfHjOl+wKf4AZG41rKhtL+Xjx9I/52Za3scwUzI9NPCtr8LMbn/ZjY/ObV85kxiP7Celqhp79JrXU0Y8M0i0L2zSYfXQF/7PR5HPKuHXOu/xua5gCTwr9vNEAM9eryfVEuPPzz/jx5Wt49osAA7wp5PkNPEb0V6Mr/3ICi7e/jmWmMOjsMAVWGvl+E4+pCEY01z5/Aisrn0PrMN89O4wHi1yPF8tQ1EZczsyDndXv4roBbjp3DZ85pWTrbCxMqqkloOr4snYd4HDete+ilEHK7/+GgUk1e6kIrSUY3ANARc2n/CW4hxcrMjENDxEnSMipJhwpBxwiThVba15jR10KZoWN1i6OG8Bx69A6+i9YXl1FhbEl2ocScLWD1qF4ABBAUam2olTDV6/WkYRgv6GZrFFfz6bNKE27FUgzS69zOAMkV2tcGSnRK/S4ZcKKioqYNGkS999/PwCu6zJkyBDmzZuXdKDEpZdeSm1tLS+88EJ826mnnsrxxx8fHyhRWFjI//t//4//+q//AqIBWl5eHo8++mi7+9TVLxM2YsQxmGZ7xjsJ0XOp2Ix7rZU3lnz5NOLBRH15w2jhxPL6Os3KY3Wa7d/audtZ3tL9tXXvQvQEjuPw6aebD8syYdm7TiLXHnbQx/pXzQv84JZZskxYN+pRLXUA8+fP54orruCkk05i0qRJ3HPPPdTU1MRHw86ePZuBAweyePFiAH70ox8xZcoU7rrrLs477zyWLVvGmjVrePjhhwFQSnHddddx++23M3LkyPiUJoWFhcyYMaO7blOIPqXFIKodv1N2NgiT4E2I9tJd8lmRz1v363FB3aWXXsqePXtYuHAhpaWlTJgwgRUrVsQHOuzYsQPDaEgznXrqqTzxxBPcdNNN3HjjjYwcOZLly5fH56gD+MlPfkJNTQ1XX3015eXlnH766axYsULmqBPiMEtorWtNJ+cWbPfxhRBxLp2Z1En0RD0u/dpTSfpV9EYttWa1O/0KCenTZuVN0rNtlbeUvm0tBdv0+ttKwUoLnjgSHM70a+auieR0Qfr1g5oXuOaWb0r6tRv1uJY6IYQQQhw+Gpl8uLeQoE4I0XHNJzNLrq00apPyw5E+rT+HtNYJERWdSkmCut6g+fpGQgghhBDiiCMtdUL0UX1hQIG0yAnRNreLJh+WtrruJ0GdEEII0YdJn7reQ9KvQgghhBC9gLTUCSE6pEsGM7Q10KK+vB3z1TVNscpcdUJ0jI4lYLviSKJ7SVAnhBBC9GG6i/rUSUjX/SSoE0J0vfZOeZJs1zZa2qQlToiuFV1RQoK63kD61AkhhBBC9ALSUieE6FIdbmnr5DqvB0OmORGigcbF7YI+dfK56n4S1AkhhBB9mEajlQyU6A0k/SqEEEII0QtIS50QfdxBr7rQwfVdD8k1NNE4xdvSsWW1CSGiZPRr7yFBnRBCCNGHuV3Up07Cuu4n6VchxEFreWCETD0ihBCHi7TUCSGEEH2YjiVgu+I4ontJS50Q4pA7qMmCOzmJsRCifbRycbvgpVXngroHH3yQYcOG4fP5KCoq4r333mu1/tNPP83o0aPx+XyMGzeOl19+OfF+tGbhwoUMGDAAv99PcXExn3zySUKd/fv3c9lll5GRkUFWVhZz5syhuro6oc7777/PGWecgc/nY/Dgwdxxxx0J5Y8++ihKqYSXz+fr1DPoKhLUCSGEEH2YG5+p7uD+64wnn3yS+fPns2jRItatW8f48eOZOnUqu3fvTlr/nXfeYdasWcyZM4f169czY8YMZsyYwYcffhivc8cdd3DfffexZMkSVq9eTWpqKlOnTiUQCMTrXHbZZXz00UesXLmSF198kTfeeIOrr746Xl5ZWcm5557L0KFDWbt2LXfeeSe33HILDz/8cML1ZGRk8OWXX8Zf27dv79Rz6CoS1AkhhBCiW9x9993MnTuXq666irFjx7JkyRJSUlJYunRp0vr33nsv06ZN4/rrr2fMmDHcdtttnHjiiTzwwANAtJXunnvu4aabbmL69Okcf/zxPPbYY+zatYvly5cDsGnTJlasWMHvfvc7ioqKOP3007n//vtZtmwZu3btAuDxxx8nFAqxdOlSjj32WGbOnMm1117L3XffnXA9SikKCgrir/z8/EP3sNpBgjoh+qgjqf9L0/Rt/NoPIjV7JN2/EIdS17TTuR3+TIVCIdauXUtxcXF8m2EYFBcXU1JSknSfkpKShPoAU6dOjdffunUrpaWlCXUyMzMpKiqK1ykpKSErK4uTTjopXqe4uBjDMFi9enW8zplnnonH40k4z+bNmzlw4EB8W3V1NUOHDmXw4MFMnz6djz76qEPPoKtJUCeEEEL0YTo+U93BvUATiUSorKxMeAWDwaTn3bt3L47jNGvdys/Pp7S0NOk+paWlrdav/7OtOnl5eQnllmXRr1+/hDrJjtH4HMcccwxLly7lueee409/+hOu63Lqqafy+eefJ732w0GCOiFEM9KKJYTojNdff53MzMyE1+LFi7v7sg6JyZMnM3v2bCZMmMCUKVN45pln6N+/P7/5zW+67ZpkShMhhBCiD4umX50uOI5mypQpPPvsswnbvV5v0vq5ubmYpklZWVnC9rKyMgoKCpLuU1BQ0Gr9+j/LysoYMGBAQp0JEybE6zQdiBGJRNi/f3/CcZKdp/E5mrJtmxNOOIFPP/00afnhIC11QohDqHMtfhrd5tJiQoiu0RWp1/r0q2VZZGRkJLxaCuo8Hg8TJ05k1apV8W2u67Jq1SomT56cdJ/Jkycn1AdYuXJlvP7w4cMpKChIqFNZWcnq1avjdSZPnkx5eTlr166N13nllVdwXZeioqJ4nTfeeINwOJxwnmOOOYbs7Oyk1+Y4Dh988EFCMHm4SVAnhBBCiG4xf/58fvvb3/KHP/yBTZs28f3vf5+amhquuuoqAGbPns2CBQvi9X/0ox+xYsUK7rrrLj7++GNuueUW1qxZw7x584DoaNTrrruO22+/neeff54PPviA2bNnU1hYyIwZMwAYM2YM06ZNY+7cubz33nu8/fbbzJs3j5kzZ1JYWAjAN7/5TTweD3PmzOGjjz7iySef5N5772X+/Pnxa7n11lv5+9//zmeffca6dev41re+xfbt2/nOd75zmJ5ec5J+FUK0SaGa97PTusdMDJz0+oQQ7eIqjau6YkWJjrv00kvZs2cPCxcupLS0lAkTJrBixYr4oIQdO3ZgGA3tT6eeeipPPPEEN910EzfeeCMjR45k+fLlHHfccfE6P/nJT6ipqeHqq6+mvLyc008/nRUrViRMDPz4448zb948zjnnHAzD4KKLLuK+++6Ll2dmZvL3v/+da665hokTJ5Kbm8vChQsT5rI7cOAAc+fOpbS0lOzsbCZOnMg777zD2LFjO/EkuobSWnIc7VFZWUlmZiYjRhyDaZrdfTlCdIn6qUKSBUQtTiPSuKw+qNO6eXnjgK+D5c3qtFYe+wpLWp7k2oU4EjiOw6efbqaiooKMjIxDdp5Ro0ZRW1pIip3XduU2lFa/x08XXc2NN97YBVcmOkNa6oQQQog+rKFP3MEfSXQv6VMnhOhybbWMHY6WM2mdE0L0NdJSJ4QQQvRhWru4umumNBHdS4I6IfowjW7Wd67jB4l+kTcbrNBkIIUMZhCiZ5L0a+8h6VchhBBCiF6gRwV1zzzzDOeeey45OTkopdiwYUO79nv66acZPXo0Pp+PcePG8fLLLyeUa61ZuHAhAwYMwO/3U1xczCeffHII7kCII09nWs+6pMVNtzxatbPHEEJ0XLSlzumCl3weu1uPCupqamo4/fTT+d///d927/POO+8wa9Ys5syZw/r165kxYwYzZszgww8/jNe54447uO+++1iyZAmrV68mNTWVqVOnEggEDsVtCCGEEEcMHVso7GD/k6Cu+/WoPnWXX345ANu2bWv3Pvfeey/Tpk3j+uuvB+C2225j5cqVPPDAAyxZsgStNffccw833XQT06dPB+Cxxx4jPz+f5cuXM3PmzC6/DyGEEEKIw61HtdR1RklJCcXFxQnbpk6dSklJCQBbt26ltLQ0oU5mZiZFRUXxOskEg0EqKysTXkKIJg5j+vNgBnQc9GAQIXqxrlv7VXS3Iz6oKy0tjS8nUi8/P5/S0tJ4ef22luoks3jxYjIzM+OvwYMHd/GVCyGEEN1PaxetnYN+oSWw627dFtQ9/vjjpKWlxV9vvvlmd11KUgsWLKCioiL+2rlzZ3dfkhDdqltau1ppCZT+O0J0ja7pUefKJ7IH6LY+dRdccAFFRUXxvw8cOLBTxykoKKCsrCxhW1lZGQUFBfHy+m0DBgxIqDNhwoQWj+v1evF6vZ26JiGEEEKIw63bWurS09MZMWJE/OX3+zt1nMmTJ7Nq1aqEbStXrmTy5MkADB8+nIKCgoQ6lZWVrF69Ol5HCNFcZ1rCWmzNi01C3Fa5EOLw66opTWTy4e7Xo0a/7t+/nx07drBr1y4ANm/eDERb2+pb3GbPns3AgQNZvHgxAD/60Y+YMmUKd911F+eddx7Lli1jzZo1PPzwwwAopbjuuuu4/fbbGTlyJMOHD+fmm2+msLCQGTNmHP6bFEIIIXoQjUZ3QX846RLR/XrUQInnn3+eE044gfPOOw+AmTNncsIJJ7BkyZJ4nR07dvDll1/G/37qqafyxBNP8PDDDzN+/Hj+8pe/sHz5co477rh4nZ/85Cf88Ic/5Oqrr+bkk0+murqaFStW4PP5Dt/NCSGEEEIcQkprmZK9PSorK8nMzGTEiGMwTbO7L0eIwyJZurT+t/GWUqnNyutTq7GvmvaWx+solbQs2TW0Vi6tCOJI4jgOn366mYqKCjIyMg7ZeUaNGsWeXR48VtZBH6uy9t/cfMt13HjjjQd/YaJTelT6VQghhBCHV/2UJgd9HPnFqdv1qPSrEKIXkmSAEEIcFtJSJ4QQQvRhOrb6a1ccSXQvCeqEEHEKlZBC0ehW+851aELiRn3jOrT/QbT0dfgaheiLtNs1o18lput2EtQJIYQQfVj9PHUHT5YJ627Sp04IAXTdMmD1x0noNK11s/JmZe2YgFha3YQQomXSUieEEEL0YbqL0q+i+0lQJ4QQQvRhsqJE7yHpVyFEh/SkFGhHfoj0pOsWQohDQVrqhBBCiD5M4+LKlCa9ggR1QohWtXtakyZTliTVjjpNp1URQhxaWndR+lU+tt1O0q9CCCGEEL2AtNQJIRIcVEtZBycYPtjyZqeXVj4hOqyr1n6Veeq6nwR1QgghRJ/mdtEyYaK7SVAnhBBC9GFd16dOWsm7m/SpE0J0vw6sKtHhQ0s6VgjRR0hLnRBCCNGHabpqRQn5Baq7SVAnhDiiNB0M0dHBFEKIRBrdJX3qpFW8+0n6VQghhBCiF5CWOiFE+yWZPFhayoQ4wumuSr+K7iZBnRBCCNGHddXoV1lSovtJ+lUI0a3a6ocj/XSEEKJ9pKVOCCGE6NNcumY1CPkFrLtJUCeEEEL0YV02+XAXXIs4OBLUCSEOqWQDKTq9RmuSgRod2l3WhhWiGd1ly4TJZ6u7SZ86IYQQQoheQFrqhBA9i1Io3fkBEsla42TaFSFa00WjX6WlrttJUCeEEEL0aS7gdMFxJKjrbhLUCSGA1lvG4mUt9GfTaNC6xT5rXVLe1vnbIH3phBC9nQR1QgghRB8WTb12wehXmXy420lQJ4QQQvRpmq6Zp050Nxn9KoToMge7OoSkSIUQovN6TFAXDoe54YYbGDduHKmpqRQWFjJ79mx27drV5r4PPvggw4YNw+fzUVRUxHvvvZdQHggEuOaaa8jJySEtLY2LLrqIsrKyQ3UrQgghxJFDu13zkl/Kul2PCepqa2tZt24dN998M+vWreOZZ55h8+bNXHDBBa3u9+STTzJ//nwWLVrEunXrGD9+PFOnTmX37t3xOj/+8Y954YUXePrpp3n99dfZtWsX//mf/3mob0kIIYTo8XQX/SdBXffrMUFdZmYmK1eu5JJLLuGYY47hlFNO4YEHHmDt2rXs2LGjxf3uvvtu5s6dy1VXXcXYsWNZsmQJKSkpLF26FICKigp+//vfc/fdd3P22WczceJEHnnkEd555x3efffdw3V7QgghRA9V36fuYF+d01a2ramnn36a0aNH4/P5GDduHC+//HLi3WjNwoULGTBgAH6/n+LiYj755JOEOvv37+eyyy4jIyODrKws5syZQ3V1dUKd999/nzPOOAOfz8fgwYO54447Onwth1uPCeqSqaioQClFVlZW0vJQKMTatWspLi6ObzMMg+LiYkpKSgBYu3Yt4XA4oc7o0aMZMmRIvI4QQgghDr/2ZNsae+edd5g1axZz5sxh/fr1zJgxgxkzZvDhhx/G69xxxx3cd999LFmyhNWrV5OamsrUqVMJBALxOpdddhkfffQRK1eu5MUXX+SNN97g6quvjpdXVlZy7rnnMnToUNauXcudd97JLbfcwsMPP9yhazncemxQFwgEuOGGG5g1axYZGRlJ6+zduxfHccjPz0/Ynp+fT2lpKQClpaV4PJ5mgWHjOskEg0EqKysTXkIIIUTvE50n8qBfnUi/tpVta+ree+9l2rRpXH/99YwZM4bbbruNE088kQceeCB6J1pzzz33cNNNNzF9+nSOP/54HnvsMXbt2sXy5csB2LRpEytWrOB3v/sdRUVFnH766dx///0sW7Ys3o//8ccfJxQKsXTpUo499lhmzpzJtddey913393ua+kO3RbUPf7446SlpcVfb775ZrwsHA5zySWXoLXmoYce6pbrW7x4MZmZmfHX4MGDu+U6hBBCiEOrq/rUdUx7sm1NlZSUJNQHmDp1arz+1q1bKS0tTaiTmZlJUVFRvE5JSQlZWVmcdNJJ8TrFxcUYhsHq1avjdc4880w8Hk/CeTZv3syBAwfadS3dodvmqbvgggsoKiqK/33gwIFAQ0C3fft2XnnllRZb6QByc3MxTbPZSNaysjIKCgoAKCgoIBQKUV5entBa17hOMgsWLGD+/Pnxv1dUVDBkyBBctyuWUhFCCCFaVv+z5lBP6Ov3+znYPnGN2bbdLLPl9Xrxer3N6raWbfv444+THr+0tLTN7Fz9ttbq5OXlJZRblkW/fv0S6gwfPrzZMerLsrOz27yW7tBtQV16ejrp6ekJ2+oDuk8++YRXX32VnJycVo/h8XiYOHEiq1atYsaMGQC4rsuqVauYN28eABMnTsS2bVatWsVFF10EwObNm9mxYweTJ09u8dhN34T1b9LPPvu0w/cqhBBCdEZVVRWZmZmH7PjPP/98iwFUZ7z11lvNrnfRokXccsstXXYO0bIes6JEOBzmG9/4BuvWrePFF1/EcZx4tNuvX794E+g555zDhRdeGA/a5s+fzxVXXMFJJ53EpEmTuOeee6ipqeGqq64Cos2uc+bMYf78+fTr14+MjAx++MMfMnnyZE455ZR2X19hYSE7d+4kPT0dpVQX333PVVlZyeDBg9m5c2erraZ9lTyf1snzaZs8o9b11eejtaaqqorCwsJDep6hQ4cydOjQLjveWWedxfXXX5+wLVkrHbQv29ZUQUFBm9m5+m0DBgxIqDNhwoR4naYDMSKRCPv37084TrLzND5HW9fSLXQPsXXr1vpels1er776arze0KFD9aJFixL2vf/++/WQIUO0x+PRkyZN0u+++25CeV1dnf7BD36gs7OzdUpKir7wwgv1l19+eRju6shXUVGhAV1RUdHdl9IjyfNpnTyftskzap08n95t0qRJet68efG/O46jBw4cqBcvXpy0/iWXXKK//vWvJ2ybPHmy/u53v6u11tp1XV1QUKB/+ctfxssrKiq01+vVf/7zn7XWWm/cuFEDes2aNfE6f/vb37RSSn/xxRdaa61//etf6+zsbB0KheJ1FixYoI855ph2X0t36DFBneiZ5Au1dfJ8WifPp23yjFonz6d3W7ZsmfZ6vfrRRx/VGzdu1FdffbXOysrSpaWlWmutL7/8cv3Tn/40Xv/tt9/WlmXpX/7yl3rTpk160aJF2rZt/cEHH8Tr/OIXv9BZWVn6ueee0++//76ePn26Hj58uK6rq4vXmTZtmj7hhBP06tWr9VtvvaVHjhypZ82aFS8vLy/X+fn5+vLLL9cffvihXrZsmU5JSdG/+c1vOnQth5sEdaJV8oXaOnk+rZPn0zZ5Rq2T59P7tZZtmzJlir7iiisS6j/11FN61KhR2uPx6GOPPVa/9NJLCeWu6+qbb75Z5+fna6/Xq8855xy9efPmhDr79u3Ts2bN0mlpaTojI0NfddVVuqqqKqHOv/71L3366adrr9erBw4cqH/xi180u/a2ruVwU1of4qE14ogWDAZZvHgxCxYsaLFfRF8mz6d18nzaJs+odfJ8hGg/CeqEEEIIIXqBHruihBBCCCGEaD8J6oQQQgghegEJ6oQQQgghegEJ6nqxcDjMDTfcwLhx40hNTaWwsJDZs2fHFyyut3//fi677DIyMjLIyspizpw5VFdXt3rsQCDANddcQ05ODmlpaVx00UXNJmHcsWMH5513HikpKeTl5XH99dcTiUS6/D4P1jPPPMO5555LTk4OSik2bNjQrE577rcprTULFy5kwIAB+P1+iouL+eSTTxLqdObZd7cHH3yQYcOG4fP5KCoq4r333mu1/tNPP83o0aPx+XyMGzeOl19+OaG8Pc+pp3rjjTc4//zzKSwsRCkVXzC8Xmfvra1n3Jn34+G2ePFiTj75ZNLT08nLy2PGjBls3rw5oY58roToYt038FYcauXl5bq4uFg/+eST+uOPP9YlJSV60qRJeuLEiQn1pk2bpsePH6/fffdd/eabb+oRI0YkzNeTzPe+9z09ePBgvWrVKr1mzRp9yimn6FNPPTVeHolE9HHHHaeLi4v1+vXr9csvv6xzc3P1ggULDsm9HozHHntM//znP9e//e1vNaDXr1/frE5b95vML37xC52ZmamXL1+u//Wvf+kLLrgg6VxJHX323WnZsmXa4/HopUuX6o8++kjPnTtXZ2Vl6bKysqT13377bW2apr7jjjv0xo0b9U033ZR0Tqm2nlNP9fLLL+uf/exn+plnntGAfvbZZxPKO3Nv7XnGnXk/Hm5Tp07VjzzyiP7www/1hg0b9Ne+9jU9ZMgQXV1dHa8jnyshupYEdX3Me++9pwG9fft2rXXDzNr//Oc/43X++te/Jsys3VR5ebm2bVs//fTT8W2bNm3SgC4pKdFaR3/YGYYRn0BSa60feughnZGRoYPB4KG4tYNWv6pJ06CuPffbVP2s5nfeeWfCcZLNat6RZ9/dJk2apK+55pr43x3H0YWFha3O/n7eeeclbCsqKmo2+3trz+lI0TSo6+y9tfWMO/N+7Al2796tAf36669rreVzJcShIOnXPqaiogKlFFlZWQCUlJSQlZXFSSedFK9TXFyMYRisXr066THWrl1LOBymuLg4vm306NEMGTKEkpKS+HHHjRtHfn5+vM7UqVOprKzko48+OgR3dui0536b2rp1K6WlpQn7ZGZmUlRUlPCMOvrsu1MoFGLt2rUJ92QYBsXFxS0+h5KSkoT6EH0f1Ndvz3M6UnXm3trzjDvzfuwJKioqgOha3iCfKyEOBQnq+pBAIMANN9zArFmz4gtjl5aWkpeXl1DPsiz69etHaWlp0uOUlpbi8XjigWG9/Pz8+D6lpaUJAV19eX3ZkaQ995tsn/o6Le3TmWffnfbu3YvjOK3eU1MtvQ8aP4P6be095pGiM/fWnmfcmfdjd3Ndl+uuu47TTjuN4447DpDPlRCHggR1vcjjjz9OWlpa/PXmm2/Gy8LhMJdccglaax566KFuvMru1dozEkIcGtdccw0ffvghy5Yt6+5LEaJXk6CuF7ngggvYsGFD/FWffqgP6LZv387KlSvjrXQABQUF7N69O+E4kUiE/fv3U1BQkPQ8BQUFhEIhysvLE7aXlZXF9ykoKGg2iq3+7y0d93Bo6Rm1pj33m2yf+jot7dOZZ9+dcnNzMU2z1XtqqqX3QeNnUL+tvcc8UnTm3trzjDvzfuxO8+bN48UXX+TVV19l0KBB8e3yuRKi60lQ14ukp6czYsSI+Mvv98cDuk8++YR//OMf5OTkJOwzefJkysvLWbt2bXzbK6+8guu6FBUVJT3PxIkTsW2bVatWxbdt3ryZHTt2MHny5PhxP/jgg4Qv1/qAcuzYsV152x2S7Bm1pT3329Tw4cMpKChI2KeyspLVq1cnPKOOPvvu5PF4mDhxYsI9ua7LqlWrWnwOkydPTqgP0fdBff32PKcjVWfurT3PuDPvx+6gtWbevHk8++yzvPLKKwwfPjyhXD5XQhwC3T1SQxw6oVBIX3DBBXrQoEF6w4YN+ssvv4y/Go9AnTZtmj7hhBP06tWr9VtvvaVHjhyZMPz/888/18ccc4xevXp1fNv3vvc9PWTIEP3KK6/oNWvW6MmTJ+vJkyfHy+unNDn33HP1hg0b9IoVK3T//v175JQm+/bt0+vXr9cvvfSSBvSyZcv0+vXr9Zdffhmv09b9aq31Mccco5955pn433/xi1/orKws/dxzz+n3339fT58+PenUC609+55m2bJl2uv16kcffVRv3LhRX3311TorKys+yvnyyy/XP/3pT+P13377bW1Zlv7lL3+pN23apBctWpR0SpO2nlNPVVVVpdevX6/Xr1+vAX333Xfr9evXx0eXt+fezj77bH3//ffH/97WM9a6fe/H7vb9739fZ2Zm6tdeey3hu6e2tjZeRz5XQnQtCep6sfopOpK9Xn311Xi9ffv26VmzZum0tDSdkZGhr7rqKl1VVdXsOI33qaur0z/4wQ90dna2TklJ0RdeeGFCEKS11tu2bdNf/epXtd/v17m5ufq//uu/dDgcPtS33WGPPPJI0me0aNGieJ323C+gH3nkkfjfXdfVN998s87Pz9der1efc845evPmzQn7tPXse6L7779fDxkyRHs8Hj1p0iT97rvvxsumTJmir7jiioT6Tz31lB41apT2eDz62GOP1S+99FJCeXueU0/16quvJn3v1D+D9tzb0KFDE95rWrf+jLVu3/uxu7X03dP4MyKfKyG6ltJa68PUKCiEEEIIIQ4R6VMnhBBCCNELSFAnhBBCCNELSFAnhBBCCNELSFAnhBBCCNELSFAnhBBCCNELSFAnhBBCCNELSFAnhBBCCNELSFAnhBBCCNELSFAnhDhov//97zn33HMP+XlWrFjBhAkTcF33kJ9LCCGONBLUCSEOSiAQ4Oabb2bRokWH/FzTpk3Dtm0ef/zxQ34uIYQ40khQJ4Q4KH/5y1/IyMjgtNNOOyznu/LKK7nvvvsOy7mEEOJIIkGdEAKAPXv2UFBQwP/8z//Et73zzjt4PB5WrVrV4n7Lli3j/PPPT9h21llncd111yVsmzFjBldeeWX878OGDeP2229n9uzZpKWlMXToUJ5//nn27NnD9OnTSUtL4/jjj2fNmjUJxzn//PNZs2YNW7Zs6fzNCiFELyRBnRACgP79+7N06VJuueUW1qxZQ1VVFZdffjnz5s3jnHPOaXG/t956i5NOOqlT5/zVr37Faaedxvr16znvvPO4/PLLmT17Nt/61rdYt24dRx99NLNnz0ZrHd9nyJAh5Ofn8+abb3bqnEII0VtJUCeEiPva177G3Llzueyyy/je975HamoqixcvbrF+eXk5FRUVFBYWdvp83/3udxk5ciQLFy6ksrKSk08+mYsvvphRo0Zxww03sGnTJsrKyhL2KywsZPv27Z06pxBC9FYS1AkhEvzyl78kEonw9NNP8/jjj+P1elusW1dXB4DP5+vUuY4//vj4/+fn5wMwbty4Ztt2796dsJ/f76e2trZT5xRCiN5KgjohRIItW7awa9cuXNdl27ZtrdbNyclBKcWBAwfaPK7jOM222bYd/3+lVIvbmk5hsn//fvr379/mOYUQoi+RoE4IERcKhfjWt77FpZdeym233cZ3vvOdZq1kjXk8HsaOHcvGjRublTVNmX722Wddco2BQIAtW7ZwwgkndMnxhBCit5CgTggR97Of/YyKigruu+8+brjhBkaNGsW3v/3tVveZOnUqb731VrPtzz33HM888wxbtmzhv//7v9m4cSPbt2/niy++OKhrfPfdd/F6vUyePPmgjiOEEL2NBHVCCABee+017rnnHv74xz+SkZGBYRj88Y9/5M033+Shhx5qcb85c+bw8ssvU1FRkbD9vPPO44477mDs2LG88cYb/PrXv+a9997jj3/840Fd55///Gcuu+wyUlJSDuo4QgjR2yjdeK4AIYTohIsvvpgTTzyRBQsWANF56iZMmMA999zTpefZu3cvxxxzDGvWrGH48OFdemwhhDjSSUudEOKg3XnnnaSlpR3y82zbto1f//rXEtAJIUQS0lInhOhyh6qlTgghRMskqBNCCCGE6AUk/SqEEEII0QtIUCeEEEII0QtIUCeEEEII0QtIUCeEEEII0QtIUCeEEEII0QtIUCeEEEII0QtIUCeEEEII0QtIUCeEEEII0QtIUCeEEEII0Qv8f+RW5N8P9/lMAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sim_data.plot_field(\n",
    "    field_monitor_name=\"field\", field_name=\"Hy\", val=\"abs^2\", vmin=0, vmax=3e-4\n",
    ")\n",
    "ax.set_aspect(\"auto\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4000ce35",
   "metadata": {},
   "source": [
    "To quantify the directionality, we define a contrast parameter $C_{exc} = \\frac{I_r-I_l}{I_r+I_l}$, where $I_r$ and $I_l$ are the transmitted power to the right and to the left, respectively. $C_{exc}=0$ corresponds to an isotropic propagation. For the ideal unidirectional propagation, $C_{exc}=1$ or $C_{exc}=-1$. In this case, we observe $C_{exc}>0.98$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "98413918",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "C_exc = 0.9816\n"
     ]
    }
   ],
   "source": [
    "def cal_C_exc(sim_data):\n",
    "    I_r = sim_data[\"flux_right\"].flux\n",
    "    I_l = -sim_data[\"flux_left\"].flux\n",
    "    C_exc = (I_r - I_l) / (I_r + I_l)\n",
    "    return C_exc.values[0]\n",
    "\n",
    "\n",
    "print(f\"C_exc = {cal_C_exc(sim_data):1.4f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d284f00c",
   "metadata": {},
   "source": [
    "## Sweeping Nanostrip Spacing "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dcd7e13c",
   "metadata": {},
   "source": [
    "The SPP propagating can be effectively tuned by changing the center-to-center distance between the nanostrips within the grating unit cell. We would like to perform a parameter sweep of the center-to-center distance $s$ to investigate how the unidirectional SPP propagation changes. To do so, we first define a function `make_sim` that returns a simulation given a $s$ value."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "552853af",
   "metadata": {},
   "outputs": [],
   "source": [
    "def make_sim(s):\n",
    "    # define the grating structures of each unit cell\n",
    "    grating = []\n",
    "    for i in range(N):\n",
    "        geo = td.Box(center=(-s / 2 + i * p - (N - 1) * p / 2, 0, t1 / 2), size=(w1, td.inf, t1))\n",
    "        grating.append(td.Structure(geometry=geo, medium=Ge))\n",
    "\n",
    "        geo = td.Box(center=(s / 2 + i * p - (N - 1) * p / 2, 0, t2 / 2), size=(w1, td.inf, t2))\n",
    "        grating.append(td.Structure(geometry=geo, medium=Ge))\n",
    "\n",
    "        geo = td.Box(\n",
    "            center=(s / 2 + i * p - (N - 1) * p / 2, 0, t2 + t3 / 2), size=(w1, td.inf, t3)\n",
    "        )\n",
    "        grating.append(td.Structure(geometry=geo, medium=Cr))\n",
    "\n",
    "    # define simulation\n",
    "    sim = td.Simulation(\n",
    "        center=(0, 0, 2 * lda0),\n",
    "        size=(Lx, Ly, Lz),\n",
    "        grid_spec=td.GridSpec.auto(min_steps_per_wvl=30, wavelength=lda0),\n",
    "        structures=grating + [substrate, gold_film],\n",
    "        sources=[gaussian_beam],\n",
    "        monitors=[field_monitor, flux_monitor_right, flux_monitor_left],\n",
    "        run_time=run_time,\n",
    "        boundary_spec=td.BoundarySpec(\n",
    "            x=td.Boundary.pml(), y=td.Boundary.periodic(), z=td.Boundary.pml()\n",
    "        ),\n",
    "    )\n",
    "\n",
    "    return sim"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "82ca604c",
   "metadata": {},
   "source": [
    "The range of interest for $s$ is from 350 nm to 770 nm. A batch of 5 simulations is created."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "9ea962b2",
   "metadata": {},
   "outputs": [],
   "source": [
    "s_array = np.linspace(0.35, 0.77, 5)  # collection of s for the parameter sweep\n",
    "\n",
    "sims = {f\"s={s:.3f}\": make_sim(s) for s in s_array}  # construct simulations for each s from s_array"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18832421",
   "metadata": {},
   "source": [
    "Run the simulations in the batch in parallel."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "5075dfaa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e78257d5d674482087c3720f5cadf45f",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:05:36 CEST </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span> tasks.                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:05:36 CEST\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m5\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\">16:05:42 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.291</span> for the whole batch.               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:05:42 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.291\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>the Batch has completed.                                          \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[0mthe Batch has completed.                                          \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "459165440b8149c68563aaceebfe139b",
       "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\">16:06:26 CEST </span>Batch complete.                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:06:26 CEST\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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2962b0301bc346d1856a7e944ebbf012",
       "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"
    }
   ],
   "source": [
    "batch = web.Batch(simulations=sims)\n",
    "batch_results = batch.run(path_dir=\"data\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3e56f7e1",
   "metadata": {},
   "source": [
    "Plot $|H_y|^2$ for each simulation. We can see that the SPP propagates to the right for smaller $s$ and to the left for larger $s$.\n",
    "\n",
    "$C_{exc}$ is also computed for each simulation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "3905877c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x1200 with 10 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(len(s_array), 1, tight_layout=True, figsize=(8, 12))\n",
    "\n",
    "C_exc = []\n",
    "\n",
    "# computer |H_y|^2 and C_exc for each simulation\n",
    "for i, s in enumerate(s_array):\n",
    "    sim_data = batch_results[f\"s={s:.3f}\"]\n",
    "    Hy_abs = sim_data[\"field\"].Hy.abs\n",
    "    Hy_squared = Hy_abs**2\n",
    "    Hy_squared.plot(x=\"x\", y=\"z\", ax=ax[i], vmin=0, vmax=3e-4, cmap=\"hot\")\n",
    "    ax[i].set_title(f\"s={s:.3f} um\")\n",
    "    C_exc.append(cal_C_exc(sim_data))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9a899572",
   "metadata": {},
   "source": [
    "Plot $C_{exc}$ as a function of $s$. $C_{exc}$ can be tuned from >0.98 to <-0.98 by changing $s$. Compared to the [original paper](https://www.science.org/doi/10.1126/sciadv.adf3510), the result here is slightly different, which we attribute to slightly different material properties used. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "06e793ed",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(s_array * 1e3, np.array(C_exc), c=\"red\", linewidth=3)\n",
    "plt.xlabel(\"s (nm)\")\n",
    "plt.ylabel(\"$C_{exc}$\")\n",
    "plt.ylim(-1, 1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a76f90c7",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "applications": [
   "Nanophotonics"
  ],
  "description": "This notebook demonstrates the unidirectional propagation surface plasmon polariton excited by a carefully engineered quasi-PT symmetric metagrating.",
  "feature_image": "./img/nonhermitian_metagrating.png",
  "features": [
   "Parameter sweep",
   "Material fitting"
  ],
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "keywords": "non-hermitian, surface plasmon polariton, SPP, metagrating, Tidy3D, FDTD",
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.12"
  },
  "title": "SPP on Non-Hermitian Metagratings | Flexcompute",
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