{
 "cells": [
  {
   "cell_type": "markdown",
   "source": [
    "# Effect of front pyramid texture and/or rear grating on absorption in Si\n",
    "\n",
    "This example is based on Figures 6, 7 and 8 from [this paper](https://doi.org/10.1364/OE.23.0A1720).\n",
    "This compares three different structures, all based on a 200 micron thick slab of silicon\n",
    "with different surface textures:\n",
    "\n",
    "1. Planar front surface (TMM), crossed grating at rear (RCWA)\n",
    "2. Inverted pyramids on the front surface (RT_Fresnel), planar rear surface (TMM)\n",
    "3. Inverted pyramids on the front surface (RT_Fresnel), crossed grating at rear (RCWA)\n",
    "\n",
    "The methods which will be used to calculate the redistribution matrices in each case are given in\n",
    "brackets. If case 1 and 2 are calculated first, then case 3 does not require the calculations of\n",
    "any additional matrices, since it will use the rear matrix from (1) and the front matrix from (2).\n",
    "\n",
    "First, importing relevant packages:"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import os\n",
    "# solcore imports\n",
    "from solcore.structure import Layer\n",
    "from solcore import material\n",
    "from solcore import si\n",
    "\n",
    "from rayflare.structure import Interface, BulkLayer, Structure\n",
    "from rayflare.matrix_formalism import process_structure, calculate_RAT\n",
    "from rayflare.utilities import get_savepath\n",
    "from rayflare.transfer_matrix_method import tmm_structure\n",
    "from rayflare.angles import theta_summary, make_angle_vector\n",
    "from rayflare.textures import regular_pyramids\n",
    "from rayflare.options import default_options\n",
    "\n",
    "from solcore.material_system import create_new_material\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib as mpl\n",
    "import seaborn as sns\n",
    "from sparse import load_npz"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2024-09-21T16:33:17.885637Z",
     "start_time": "2024-09-21T16:33:17.863800Z"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "To make sure we are using the same optical constants for Si, load the same Si n/k data used in the paper\n",
    "linked above:"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "outputs": [],
   "source": [
    "create_new_material('Si_OPTOS', 'Si_OPTOS_n.txt', 'Si_OPTOS_k.txt')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2024-09-21T16:33:19.888922Z",
     "start_time": "2024-09-21T16:33:17.866693Z"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "You only need to do this one time, then the material will be stored in Solcore's material database.\n",
    "\n",
    "Setting options (taking the default options for everything not specified explicitly):"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "outputs": [],
   "source": [
    "angle_degrees_in = 8\n",
    "\n",
    "wavelengths = np.linspace(900, 1200, 30)*1e-9\n",
    "\n",
    "Si = material('Si_OPTOS')()\n",
    "Air = material('Air')()\n",
    "\n",
    "options = default_options()\n",
    "options.wavelength = wavelengths\n",
    "options.theta_in = angle_degrees_in*np.pi/180\n",
    "options.n_theta_bins = 100\n",
    "options.c_azimuth = 0.25\n",
    "options.n_rays = 25*25*1300\n",
    "options.project_name = 'OPTOS_comparison'\n",
    "options.orders = 60 # decrease number of orders to speed up calculation\n",
    "options.pol = 'u'"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2024-09-21T16:33:19.889102Z",
     "start_time": "2024-09-21T16:33:19.845731Z"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Now, set up the grating basis vectors for the RCWA calculations and define the grating structure.\n",
    "These are squares, rotated by 45 degrees. The halfwidth is calculated based on the area fill factor\n",
    "of the etched pillars given in the paper."
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "outputs": [],
   "source": [
    "x = 1000\n",
    "\n",
    "d_vectors = ((x, 0),(0,x))\n",
    "area_fill_factor = 0.36\n",
    "hw = np.sqrt(area_fill_factor)*500\n",
    "\n",
    "back_materials = [Layer(si('120nm'), Si,\n",
    "                        geometry=[{'type': 'rectangle', 'mat': Air,\n",
    "                                   'center': (x/2, x/2),\n",
    "                                   'halfwidths': (hw, hw), 'angle': 45}])]"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2024-09-21T16:33:19.889165Z",
     "start_time": "2024-09-21T16:33:19.854998Z"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Now we define the pyramid texture for the front surface in case (2) and (3) and make the four\n",
    "possible different surfaces: planar front and rear, front with pyramids, rear with grating.\n",
    "We specify the method to use to calculate the redistribution matrices in each case and create\n",
    "the bulk layer."
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "outputs": [],
   "source": [
    "surf = regular_pyramids(elevation_angle=55, upright=False)\n",
    "\n",
    "front_surf_pyramids = Interface('RT_Fresnel', texture = surf, layers=[],\n",
    "                                name = 'inv_pyramids_front_' + str(options['n_rays']))\n",
    "\n",
    "front_surf_planar = Interface('TMM', layers=[], name='planar_front')\n",
    "\n",
    "back_surf_grating = Interface('RCWA', layers=back_materials, name='crossed_grating_back',\n",
    "                              d_vectors=d_vectors, rcwa_orders=60)\n",
    "\n",
    "back_surf_planar = Interface('TMM', layers=[], name = 'planar_back')\n",
    "\n",
    "bulk_Si = BulkLayer(201.8e-6, Si, name = 'Si_bulk')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2024-09-21T16:33:19.889474Z",
     "start_time": "2024-09-21T16:33:19.859651Z"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Now we create the different structures and 'process' them (this will calculate the relevant\n",
    "matrices if necessary, or do nothing if it finds the matrices have previously been calculated and\n",
    "the files already exist). We don't need to process the final structure because it will use matrices\n",
    "calculated for SC_fig6 and SC_fig7."
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO: Making matrix for planar surface using TMM for element 0 in structure\n",
      "INFO: RCWA calculation for element 2 in structure\n",
      "INFO: RCWA calculation for wavelength = 962.0689655172415 nm\n",
      "INFO: RCWA calculation for wavelength = 982.7586206896552 nm\n",
      "INFO: RCWA calculation for wavelength = 910.3448275862069 nm\n",
      "INFO: RCWA calculation for wavelength = 941.3793103448277 nm\n",
      "INFO: RCWA calculation for wavelength = 993.1034482758622 nm\n",
      "INFO: RCWA calculation for wavelength = 900.0000000000001 nm\n",
      "INFO: RCWA calculation for wavelength = 920.6896551724138 nm\n",
      "INFO: RCWA calculation for wavelength = 972.4137931034483 nm\n",
      "INFO: RCWA calculation for wavelength = 931.0344827586207 nm\n",
      "INFO: RCWA calculation for wavelength = 951.7241379310346 nm\n",
      "INFO: RCWA calculation for wavelength = 1003.448275862069 nm\n",
      "INFO: RCWA calculation for wavelength = 1013.7931034482759 nm\n",
      "INFO: RCWA calculation for wavelength = 1024.1379310344828 nm\n",
      "INFO: RCWA calculation for wavelength = 1034.4827586206898 nm\n",
      "INFO: RCWA calculation for wavelength = 1044.8275862068965 nm\n",
      "INFO: RCWA calculation for wavelength = 1055.1724137931035 nm\n",
      "INFO: RCWA calculation for wavelength = 1065.5172413793102 nm\n",
      "INFO: RCWA calculation for wavelength = 1075.8620689655174 nm\n",
      "INFO: RCWA calculation for wavelength = 1086.2068965517244 nm\n",
      "INFO: RCWA calculation for wavelength = 1096.5517241379314 nm\n",
      "INFO: RCWA calculation for wavelength = 1106.8965517241381 nm\n",
      "INFO: RCWA calculation for wavelength = 1117.2413793103449 nm\n",
      "INFO: RCWA calculation for wavelength = 1127.5862068965516 nm\n",
      "INFO: RCWA calculation for wavelength = 1137.9310344827586 nm\n",
      "INFO: RCWA calculation for wavelength = 1148.2758620689656 nm\n",
      "INFO: RCWA calculation for wavelength = 1158.6206896551726 nm\n",
      "INFO: RCWA calculation for wavelength = 1168.9655172413793 nm\n",
      "INFO: RCWA calculation for wavelength = 1179.3103448275863 nm\n",
      "INFO: RCWA calculation for wavelength = 1189.655172413793 nm\n",
      "INFO: RCWA calculation for wavelength = 1200.0000000000002 nm\n",
      "INFO: Ray tracing with Fresnel equations for element 0 in structure\n",
      "INFO: Calculating matrix only for incidence theta/phi\n",
      "INFO: RT calculation for wavelength = 900.0000000000001 nm\n",
      "INFO: RT calculation for wavelength = 910.3448275862069 nm\n",
      "INFO: RT calculation for wavelength = 920.6896551724138 nm\n",
      "INFO: RT calculation for wavelength = 931.0344827586207 nm\n",
      "INFO: RT calculation for wavelength = 941.3793103448277 nm\n",
      "INFO: RT calculation for wavelength = 951.7241379310346 nm\n",
      "INFO: RT calculation for wavelength = 962.0689655172415 nm\n",
      "INFO: RT calculation for wavelength = 972.4137931034483 nm\n",
      "INFO: RT calculation for wavelength = 982.7586206896552 nm\n",
      "INFO: RT calculation for wavelength = 993.1034482758622 nm\n",
      "INFO: RT calculation for wavelength = 1003.448275862069 nm\n",
      "INFO: RT calculation for wavelength = 1013.7931034482759 nm\n",
      "INFO: RT calculation for wavelength = 1024.1379310344828 nm\n",
      "INFO: RT calculation for wavelength = 1034.4827586206898 nm\n",
      "INFO: RT calculation for wavelength = 1044.8275862068965 nm\n",
      "INFO: RT calculation for wavelength = 1055.1724137931035 nm\n",
      "INFO: RT calculation for wavelength = 1065.5172413793102 nm\n",
      "INFO: RT calculation for wavelength = 1075.8620689655174 nm\n",
      "INFO: RT calculation for wavelength = 1086.2068965517244 nm\n",
      "INFO: RT calculation for wavelength = 1096.5517241379314 nm\n",
      "INFO: RT calculation for wavelength = 1106.8965517241381 nm\n",
      "INFO: RT calculation for wavelength = 1117.2413793103449 nm\n",
      "INFO: RT calculation for wavelength = 1127.5862068965516 nm\n",
      "INFO: RT calculation for wavelength = 1137.9310344827586 nm\n",
      "INFO: RT calculation for wavelength = 1148.2758620689656 nm\n",
      "INFO: RT calculation for wavelength = 1158.6206896551726 nm\n",
      "INFO: RT calculation for wavelength = 1168.9655172413793 nm\n",
      "INFO: RT calculation for wavelength = 1179.3103448275863 nm\n",
      "INFO: RT calculation for wavelength = 1189.655172413793 nm\n",
      "INFO: RT calculation for wavelength = 1200.0000000000002 nm\n",
      "INFO: RT calculation for wavelength = 900.0000000000001 nm\n",
      "INFO: RT calculation for wavelength = 910.3448275862069 nm\n",
      "INFO: RT calculation for wavelength = 920.6896551724138 nm\n",
      "INFO: RT calculation for wavelength = 931.0344827586207 nm\n",
      "INFO: RT calculation for wavelength = 941.3793103448277 nm\n",
      "INFO: RT calculation for wavelength = 951.7241379310346 nm\n",
      "INFO: RT calculation for wavelength = 962.0689655172415 nm\n",
      "INFO: RT calculation for wavelength = 972.4137931034483 nm\n",
      "INFO: RT calculation for wavelength = 982.7586206896552 nm\n",
      "INFO: RT calculation for wavelength = 993.1034482758622 nm\n",
      "INFO: RT calculation for wavelength = 1003.448275862069 nm\n",
      "INFO: RT calculation for wavelength = 1013.7931034482759 nm\n",
      "INFO: RT calculation for wavelength = 1024.1379310344828 nm\n",
      "INFO: RT calculation for wavelength = 1034.4827586206898 nm\n",
      "INFO: RT calculation for wavelength = 1044.8275862068965 nm\n",
      "INFO: RT calculation for wavelength = 1055.1724137931035 nm\n",
      "INFO: RT calculation for wavelength = 1065.5172413793102 nm\n",
      "INFO: RT calculation for wavelength = 1075.8620689655174 nm\n",
      "INFO: RT calculation for wavelength = 1086.2068965517244 nm\n",
      "INFO: RT calculation for wavelength = 1096.5517241379314 nm\n",
      "INFO: RT calculation for wavelength = 1106.8965517241381 nm\n",
      "INFO: RT calculation for wavelength = 1117.2413793103449 nm\n",
      "/Users/z3533914/.pyenv/versions/3.11.5/envs/main_develop/lib/python3.11/site-packages/joblib/externals/loky/process_executor.py:752: UserWarning: A worker stopped while some jobs were given to the executor. This can be caused by a too short worker timeout or by a memory leak.\n",
      "  warnings.warn(\n",
      "INFO: RT calculation for wavelength = 1127.5862068965516 nm\n",
      "INFO: RT calculation for wavelength = 1137.9310344827586 nm\n",
      "INFO: RT calculation for wavelength = 1148.2758620689656 nm\n",
      "INFO: RT calculation for wavelength = 1158.6206896551726 nm\n",
      "INFO: RT calculation for wavelength = 1168.9655172413793 nm\n",
      "INFO: RT calculation for wavelength = 1179.3103448275863 nm\n",
      "INFO: RT calculation for wavelength = 1189.655172413793 nm\n",
      "INFO: RT calculation for wavelength = 1200.0000000000002 nm\n",
      "INFO: Making matrix for planar surface using TMM for element 2 in structure\n"
     ]
    }
   ],
   "source": [
    "SC_fig6 = Structure([front_surf_planar, bulk_Si, back_surf_grating],\n",
    "                    incidence=Air, transmission=Air)\n",
    "SC_fig7 = Structure([front_surf_pyramids, bulk_Si, back_surf_planar],\n",
    "                    incidence=Air, transmission=Air)\n",
    "SC_fig8 = Structure([front_surf_pyramids, bulk_Si, back_surf_grating],\n",
    "                    incidence=Air, transmission=Air)\n",
    "\n",
    "process_structure(SC_fig6, options)\n",
    "process_structure(SC_fig7, options)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2024-09-21T16:48:27.650407Z",
     "start_time": "2024-09-21T16:33:19.868813Z"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Then we ask RayFlare to calculate the reflection, transmission and absorption through matrix\n",
    "multiplication, and get the required result out (absorption in the bulk) for each cell. We\n",
    "also load the results from the reference paper to compare them to the ones calculated with RayFlare."
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
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      "INFO: After iteration 1: maximum power fraction remaining = 0.6797684756675073\n",
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      "INFO: After iteration 42: maximum power fraction remaining = 0.009352894513672012\n",
      "INFO: After iteration 1: maximum power fraction remaining = 0.7827837399742319\n",
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      "INFO: After iteration 3: maximum power fraction remaining = 0.5815457389931538\n",
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      "INFO: After iteration 5: maximum power fraction remaining = 0.4319936542775653\n",
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      "INFO: After iteration 11: maximum power fraction remaining = 0.17281522981601888\n",
      "INFO: After iteration 12: maximum power fraction remaining = 0.14823731287907208\n",
      "INFO: After iteration 13: maximum power fraction remaining = 0.12715083224062387\n",
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      "INFO: After iteration 17: maximum power fraction remaining = 0.06881982077393833\n",
      "INFO: After iteration 18: maximum power fraction remaining = 0.0590279450448752\n",
      "INFO: After iteration 19: maximum power fraction remaining = 0.050629226638222224\n",
      "INFO: After iteration 20: maximum power fraction remaining = 0.043425480885355576\n",
      "INFO: After iteration 21: maximum power fraction remaining = 0.03724670118999727\n",
      "INFO: After iteration 22: maximum power fraction remaining = 0.03194706008957725\n",
      "INFO: After iteration 23: maximum power fraction remaining = 0.02740147417045517\n",
      "INFO: After iteration 24: maximum power fraction remaining = 0.023502655033588733\n",
      "INFO: After iteration 25: maximum power fraction remaining = 0.020158578597253528\n",
      "INFO: After iteration 26: maximum power fraction remaining = 0.017290313830162485\n",
      "INFO: After iteration 27: maximum power fraction remaining = 0.01483016011282529\n",
      "INFO: After iteration 28: maximum power fraction remaining = 0.012720049467882593\n",
      "INFO: After iteration 29: maximum power fraction remaining = 0.010910176053304686\n",
      "INFO: After iteration 30: maximum power fraction remaining = 0.009357820620342815\n"
     ]
    }
   ],
   "source": [
    "results_fig6= calculate_RAT(SC_fig6, options)\n",
    "results_fig7 = calculate_RAT(SC_fig7, options)\n",
    "results_fig8 = calculate_RAT(SC_fig8, options)\n",
    "\n",
    "RAT_fig6 = results_fig6[0]\n",
    "RAT_fig7 = results_fig7[0]\n",
    "RAT_fig8 = results_fig8[0]\n",
    "\n",
    "sim_fig6 = np.loadtxt('optos_fig6_sim.csv', delimiter=',')\n",
    "sim_fig7 = np.loadtxt('optos_fig7_sim.csv', delimiter=',')\n",
    "sim_fig8 = np.loadtxt('optos_fig8_sim.csv', delimiter=',')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2024-09-21T16:49:26.469605Z",
     "start_time": "2024-09-21T16:48:27.652122Z"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Finally, we use TMM to calculate the absorption in a structure with a planar front and planar rear,\n",
    "as a reference."
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "outputs": [],
   "source": [
    "struc = tmm_structure([Layer(si('200um'), Si)], incidence=Air, transmission=Air)\n",
    "options.coherent = False\n",
    "options.coherency_list = ['i']\n",
    "RAT = tmm_structure.calculate(struc, options)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2024-09-21T16:49:26.474853Z",
     "start_time": "2024-09-21T16:49:26.471580Z"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Plot everything together:"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "palhf = sns.color_palette(\"hls\", 4)\n",
    "\n",
    "fig = plt.figure()\n",
    "plt.plot(sim_fig6[:,0], sim_fig6[:,1], '--', color=palhf[0],\n",
    "         label= 'OPTOS - rear grating (1)')\n",
    "plt.plot(wavelengths*1e9, RAT_fig6['A_bulk'][0], '-o', color=palhf[0],\n",
    "         label='RayFlare - rear grating (1)', fillstyle='none')\n",
    "plt.plot(sim_fig7[:,0], sim_fig7[:,1], '--', color=palhf[1],\n",
    "         label= 'OPTOS - front pyramids (2)')\n",
    "plt.plot(wavelengths*1e9, RAT_fig7['A_bulk'][0], '-o', color=palhf[1],\n",
    "         label= 'RayFlare - front pyramids (2)', fillstyle='none')\n",
    "plt.plot(sim_fig8[:,0], sim_fig8[:,1], '--', color=palhf[2],\n",
    "         label= 'OPTOS - grating + pyramids (3)')\n",
    "plt.plot(wavelengths*1e9, RAT_fig8['A_bulk'][0], '-o', color=palhf[2],\n",
    "         label= 'RayFlare - grating + pyramids (3)', fillstyle='none')\n",
    "plt.plot(wavelengths*1e9, RAT['A_per_layer'][:,0], '-k', label='Planar')\n",
    "plt.legend(loc='lower left')\n",
    "plt.xlabel('Wavelength (nm)')\n",
    "plt.ylabel('Absorption in Si')\n",
    "plt.xlim([900, 1200])\n",
    "plt.ylim([0, 1])\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2024-09-21T16:49:26.724867Z",
     "start_time": "2024-09-21T16:49:26.475516Z"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "We can see good agreement between the reference values and our calculated values. The structure\n",
    "with rear grating also behaves identically to the planar TMM reference case at the short wavelengths\n",
    "where front surface reflection dominates the result, as expected. Clearly, the pyramids perform\n",
    "much better overall, giving a large boost in the absorption at long wavelengths and also reducing the reflection\n",
    "significantly at shorter wavelengths. Plotting reflection and transmission emphasises this:"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "plt.plot(wavelengths*1e9, RAT_fig6['R'][0], '-o', color=palhf[0],\n",
    "         label='RayFlare - rear grating (1)', fillstyle='none')\n",
    "plt.plot(wavelengths*1e9, RAT_fig7['R'][0], '-o', color=palhf[1],\n",
    "         label= 'RayFlare - front pyramids (2)', fillstyle='none')\n",
    "plt.plot(wavelengths*1e9, RAT_fig8['R'][0], '-o', color=palhf[2],\n",
    "         label= 'RayFlare - grating + pyramids (3)', fillstyle='none')\n",
    "\n",
    "plt.plot(wavelengths*1e9, RAT_fig6['T'][0], '--o', color=palhf[0])\n",
    "plt.plot(wavelengths*1e9, RAT_fig7['T'][0], '--o', color=palhf[1])\n",
    "plt.plot(wavelengths*1e9, RAT_fig8['T'][0], '--o', color=palhf[2])\n",
    "\n",
    "# these are just to create the legend:\n",
    "plt.plot(-1, 0, 'k-o', label='R', fillstyle='none')\n",
    "plt.plot(-1, 0, 'k--o', label='T')\n",
    "\n",
    "plt.legend()\n",
    "plt.xlabel('Wavelength (nm)')\n",
    "plt.ylabel('Reflected/transmitted fraction')\n",
    "plt.xlim([900, 1200])\n",
    "plt.ylim([0, 0.6])\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2024-09-21T16:49:26.827797Z",
     "start_time": "2024-09-21T16:49:26.731755Z"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Plot the redistribution matrix for the rear grating (summed over azimuthal angles) at 1100 nm:"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 2 Axes>",
      "image/png": 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zyPIZmWfNiPyckdYIxZ72SzggIYQQQooDw4ChEZLrT2GgC87zRQEHJIQQQkgRkDASSORhQFKqcEBCCCGEFAFG6r9cz1KqcECSJTL+KWPFUjOii/vn6iMikfFTHYmYyQ5eEyNVtqf+NmLRTrUXFjtsrWZE+IBI3xKPM18RSa56G6fHd+qDYmTpBaGxutf5vOj2t9TXpFuwWMVLTYhGM6K1gnegGQE69iEpnzAa7kjyOKNVPT722X61vsIKXmpGJFIzEmmsE9vVvm3V2AivizLV7VI+97r2kOg8cjrtGyn9h8vtUeqctQYFett6iU5Xp9ues2akBH1IejtsaUIIIYQUHM6QEEIIIUWAgTyIWhmyOfJwmsYr8QQq1BdEypxcydJpGEFOR+Zz9V+nOE/r1aSSdpY2my2a9MRc04YlWadipv+vXXFVZ8duP80u6+P2qWGDRFSsvmmYw0fqvZFpqNbVeDWr1Wps+a3T6mK13knjMn8HfMn3ZbRFYYST14ntUUMqLp+4F2H1vbr8YmXrhPrhHWlQQz6WUK0gHlafO2+5uv6HTF21hjNzSwPOOoU9nrwPdqHWjs7nBG9FX/WScrXeXEM0NuE8IPcQjtNVwbsFI5GzdXwpi1oZsiGEEEJIweGAhBBCCCEFhyEbQgghpAhIGAkkcg3ZUENS+jjVjOhiy041J06R8U+n6FJBO8OVOs5V5oc7JRWRIixdDFNnFd/BAfZ10qQNd3CAo/NbDhexZqfW87q0X4lTDYvLo5bjITXVVbaXUjVNaqRF/6PZ36oZEXqWmKrxCE4Yo14v0H49ly/ZTrEvDiIWSh7nDqq6gUSbqhuIHj6glL0V/ZRyrKVRKfsGDBHnU3UKRlx9Px6/0C2E7NOKdc+tRS9kaLZrlhFI3y9XJ897Ln2vrLKfUo61HlbKUkeXq2ZE6ou023O0km/fQOv4noIDEkIIIaQIMJCPGY7SnSGhhoQQQgghBYczJIQQQkgRYPTytN9ePSDxBCrhLU/ePKeaj3xrRGQ81ILoZLn6jjjRPZg1E+nO7nK54UppMWRddD4iOm8Lp+h8Oaw48yXJuz+B1odEXN9iLS98RkQsXPoz2GlGALUvOLUy1+1v8csRdSsfJzQjPvW9RjfvyfztCSRt3d1+H9ypxyHepD6H0UOqZkRqQiIH9jna7g1WKmXpsyKxLHsg+7rYX7cMgM6uXdd30/fDiKX283jh8pieF6n/cqAZiTY3KuVcfUbk8VKPo7Ph7zYfElrH9xi9ekBCCCGEFAsGjNxX+y1hDQkHJIQQQkgRkI/VfjkgKVG81dXwepLTeO6gJmSisZh2imV6Mc+r/+aCXfjI7U1Omydi4czKproUYktIRfO86FIZdfvrcGyPrZnWzvp8neynO96yDIHASVov0EFYxXT/dCnZOtt/3bS42Qoe6CBEs3Wvur2szPJ3oqUViVTaryVEM3CoUjZC6rS90xCNtH7XbdeuMKvZLsn3MgeIx2zDQDIsY0YXopH9UIZozrn4x7bHyxBPrlbxTPstPRgcI4QQQkjB6dUzJIQQQkixkDAScNGplRBCCCEFxTByTvstZWO0Xj0gCe/djdDBpN2xLjacb3JN280nFgtmYedtjjkn3NYUXV2qotM4uC7Ntssajk7Qnc+pRsUxIi1a2pEnovJ+yCXoHWpGhI7BfL5c9Ccd1a184lj1BDG1LaOfqBoOt9+nlMN7d7dvCybrHT1Uj0hbUnvhHzRMrZ+wepd25kazen2pY0hEVPtxbaqrw88Nx9bxOfbNzP6dPCO692e+ns4q/q2X7lXKlrRe2VZONSM5akp0Wjem/RYetjQhhBBCCk6vniEhhBBCioVEajWbXKCGhBBCCCE5kRfreBcHJCWPjP3q4pUWS2lNLDffPiO6eKj2eF+7DXM8rMZapQbEfK3MMuYud0b74FQzotMp5LwWg0Or+i7H5Tuh0+PTrycSyj7ectVnRGpGLO1lSF2B+hin/WHS2GlG5Pl1VvG6Jd+DY05Tt9erz1WiRX0O7DQjAFBWNaD975R1vG/g0IwPSSKkXl9qIKQvSaJV1EdoRmRbObVHl0hdgu5ZceypI86v6+tlfQci7m/vX9HDqo+LrI+3vKp9X9EWTq3gZVvp9De5akrkvZTPjU4PlYi3P6+kZ6CGhBBCCCEFhzMkhBBCSBFgGAYS9CEhhBBCSCExKGolHaGLRzr1KdHFO50i45+6WLRdPFcea7fGQ2YZcyORick61YzIuLZE572g8ymxxIrjznxLdG3pVGMi9/cE+8DratdOGHGpaVHbS9cXdWt4GAmpW+j8flj7glx7RaMZaVDXMzGExsNdoT4Hkc8/VcpmzQgAuEwak/TfiVAooyGRXhjSlyRct0cp+/oNgh1SU6Jbr0XeC+taP6oeyOLbIp4FuV3qg+S9FnIpyzpR6fZM62/MHi7J4zvXjACqbiTXtWlyXScoVx8SS9/WrCuk83Ah+YcDEkIIIaQISCABl/yB5ZBSzrLh0I8QQgghBYczJFkip/OchmByTUnToQvRyKloc/1lGqhtWmz6b1PqqmUaWswbO30vuaILqTgNueim2XXnT7e12+/PHK+EaUR7OV1GXZeKaw0jdH4/5HuV15JW8Il9h5SyERNtk1DfW2jXDqXsqx6s1jUQUMqRfZ+11y1lHR8PNSOeCjuUVashmMiBL5Syxe5cpK7KmIc5HR7IIgVbIJ9zGV60hFplWrDoW1qrfrG/DLlEGusAAJ5U28HtVvq3XYgGUMM0jtN685z2K/u1drsMXcrPWPGZ3mmommm/PQYHJIQQQkhRYJS0KDVXOCAhhBBCioCEYVhF+k7J1ViygFBDQgghhJCCwxmSLuLUxliiW4ZcZw0vY8syHis1IxZdh4O0Y8U6PhVDd3nL4PYmR/Iyjp23JdM7QWe/rTvemiup05zYvz+JjJ23X7Zj/UGumhGLPskmbbsjzPvL91o+QdWMxD+tsz2X7GfugKqV8g0YopRdPnW7WTMCAN4+1e1/p1JXvVXV8PqS2o5I/V51/4q+an3FsghSI2JJsRZpvTLtVv721D3HFpt/Tcq6rm/Je2nRyIg0aJm66g32gdfV3uZO7OBl28ZaVP1QvjUlVt1dwHa7089g3XPCtN+ehwMSQgghpAhIhmxyC7m4SjhkwwEJIYQQUhTkvtqvq4RFsZyLIoQQQkjB4QxJnsg1ninRxf1lPFdqQpzqHszYLVefPq9hGBa9QBqttbvcX6cZybcPgKyPRlOi1YyIe4FOfUqS7ZWIhhTtgS52nm/NiNSoJGLtdQmOrlG31amaBInLJ6zOvUJz0Srsu4VmJLxXWMf3Va3jo4cOZP72RpLHRg/uz9ifSw2FTjMinxPZVk7b2mnftXY1Z327rE9/pRxrabQ9X7p90vqbWMshRE3W8XaaEfPxgFVvotOEyM8Bqc/RHS9x/FxIrycBfUiKDw5ICCGEkCIgYViF4c4p3ZANBySEEEJIEZDo5RoSDki6Cd30os4uXGKxgpchIDkXbFlgqfNUXJdH2FFbrORNx6b/Nq326zSNNtfUR21ar/UA++tp0oglMkRjZGmN326174c5m9RimW0JqYgVY21Cah2htYMf3b5ib+KAOm1uhIV1ukjjNUJhUVbTzaMNapqwJaQgQjSGsGr3HzU887cvnfZb0RdlnuR+iYiYdhchGhkmkPdauwKtw7CEPL/EaYhGrk4cPXxAKXsr+skLKMV0GnDMSN63l393F9yu9u2WEI0ICUWbDrZvkynGoq1kW3j8aj+Wn3m6tF9dWzld7VfC1X6Lj6Jq6XA4jDvuuAOTJk3C5MmTsXLlyk73/dOf/oSLLroI48ePxxVXXIFNmzb1YE0JIYSQPJPS5uXyj06teWLp0qXYuHEjVq1ahbvuugsPP/wwXnvtNct+27Ztw49+9CPccMMNePHFFzFq1CjccMMNaGuzHxETQgghpB0nEwFvv/02LrnkEowfPx7Tpk3DG2+8oWyfNGkSTjnlFOVfS0tLJ2ezUjQhm9bWVqxZswYrVqxATU0NampqsG3bNqxevRpTp05V9v3rX/+KE088EdOnTwcA/PCHP8Tq1auxfft2jB49ugC1J4QQQnIjqSDJTUPidHE+80TAnj17MG/ePAwbNszyvbt582bMmTMHt912G6ZMmYK//OUvuOWWW/C73/0OI0eOxL59+9DU1IS1a9ciYFq1u7y8XF6yU4pmQLJ582bEYjGMHz8+89rEiROxfPlyJBIJuE1xvH79+mH79u2ora3F+PHj8dxzz6GyshJf+tKXHF0zEPAjGLRPDcsfIhVUxFvdwX5K2ZIy1yZS4vzi1lniraolttsvNChmXYLUfCSEbb2p7QMpDUHArCWQ13aL47Vxc2GpLmO2lvNrJvZ015P10xzvErFmi62/335J+LTex+dOvu7zJJDwtF/D3a9a3V8so+7yq7oIi2ZF1Mdtk9YLAMEvq3bwif3tqb2GV9wLl0+9tuwrPnX/6EFV4xAccbx6vNB8JMSspisgNB2H9mf+dqfSfn0eIJG6rLu6n7p/i5qmHOirbpcZCHGhgwgOOko9n3juyior1NNJzYhH83ki9xd9uazfQKUcPXRQKQcGDxXb623P98c/3Asgmb3xRRj4xlVLETLpfqqOOlo9X5N6PW+FqS8Z6r3zW9pWxfKZJQj0V/VDVmsE++fYLa6fEJoRuV32XUNqRgJSw5J8XgOBnvqO6HmcTAS89NJLOOOMM3DVVVcBAEaMGIE333wTr776KkaOHIkdO3Zg0KBBGD58eEeXyoqiGZDU1dWhuroaPl/7B+DAgQMRDofR2NiI/v3bxVZf//rX8eabb+Kb3/wmPB4P3G43Hn30UfTt27ejU3fKz5bNz1v9exvLHruz0FUoWZatWFjoKpQ0Dz5ye6GrUDLsUce2fG6LnASMpH18TufIHicTATNmzEA0ahXQNzUlB57bt2/Hcccd1+V6A0U0IGlra1MGIwAy5UhEVd43NDSgrq4Od955J8aOHYv//u//xvz58/H8889jwAB11G3HrXMXo7HB3vip25AzJCLTRTtDoptFELhFlo/9DEnnMxKBgB/LHrsTc6+/u/2Xlm4Gw6mxULfPkDg73jpDovZTSWczJIGgH8tWLMTc6xYiZDKnstwbOUMiFoDTZfVoZ0jGCPMz8wxJXMzkibLFI0H0nejB/UrZd5T6a0k7Q1KmPgexw+2/2NPtd8uN9yMUSvZfd0B9r3KGRGZe6GZIvJXqbJWcIbFgmSHRfKTmOEMiM110MyQvP/MTAOkZkoD63MI+q0aHx19hu103Q+LRGAJqP9NkP5czJGK7dobE2/FMZ/ozr5QwDAPNzWrf9vl8lu9YJxMBJ5xwgnLstm3b8O6772LWrFkAgB07dqCtrQ1XXnkldu7ciVGjRuGOO+5wNEgpmgGJ3++3DDzSZXM8CgAeeOABnHzyyfjWt74FALjnnntw0UUX4dlnn8X111+f9TVDoTDa2sL6HbsBl0f9oHd7xJegV90ea+skJS2FLkXOk1C/1OwGJLrVeoFk26W/VHNd3VeiOz5XZ1enx7vld0iZ/S8Y+aUeD6v3LtSm9jvLvbGkH8p7p3FijavvTw5IXBH1+IQptdeI5TYgiYh+mgipz7QhnvGESBt2xdXzRzt4PkOhSKbvuUW4Tz4nnoRM+Rapp2L/Mm/EdrvEkjLu6cylt5P9RV+MB9Try/cfF/WT7S3PZ07xBdTnFgDiZfbXs8Nj2H996NrOC5GOLp4T7Wea6OdxMdiV2+WAxOrUKj8H7e9ld2DAQCJHHxEDBnbu3ImLL75YeX3OnDmYO3eu8pqTiQAzBw8exNy5czFhwgSce+65AICPP/4Yhw4dwg9/+ENUVlZixYoV+M53voOXX34ZlZWVnZ7LTNEMSIYMGYKGhgbEYjF4U/bTdXV1CAQCqKqqUvbdtGkTrrzyykzZ7XZj5MiR2LNnT4/WORfkB5Nb/FqQ/go6vwOLrkEgf3VbvDmUTTYDgg4+JHIdgEh0x+f7/LL+0jPGW9VPKceb1V/h8nyyrdPnc/uTMy2eYB94TdoM6cfg1Areur+cETlNKcd2qbMYLpf41jJv8wsNiZjRkD4jgWOOVcqhzz5RyrJtPUH1V3akUT2f+Rd82v7cE6yAx1XW8f7C1yQuZkxkv7ezqgc6mGERbWWIcqdL2HdyPo/oW7I9JdKHRN77l373I6V8zsU/BpCcXVrx5H3wlveF193+RSPbT9bXW97+2Su/oHVW79LDxToYVH/BSyzeTYKcfUg0n5mZ57oEreOPO+441NbWKq/JgQfgbCIgTX19Pb773e/CMAw89NBDmbDO448/jmg0ioqK5DP9wAMPYMqUKXjrrbcwbdq0rOpdNGm/o0aNgtfrxbp16zKv1dbWYvTo0UocCwAGDx6MHTt2KK/t3LkTxxxzTE9UlRBCCMk7SS+RRE7/YBhwuVyorKxU/nU0IDFPBKTpbCIAAPbt24dvfetbiEQiePLJJ5WQjs/nywxGgORg55hjjsG+ffuyfv9FMyAJBoOYPn06Fi5ciA0bNmDt2rVYuXJlRtFbV1eHUMoF8vLLL8czzzyDF154Abt27cIDDzyAPXv2YMaMGYV8C4QQQkiXSaRCNrn8c5L262QioLW1Fddeey3cbjeeeuopDBkyJLPNMAycd955eO6555T9d+3aheOPVzPt7CiakA0AzJ8/HwsXLsTVV1+NyspKzJ07FxdccAEAYPLkyVi8eDFmzpyJr3/962hpacGjjz6KL774AqNGjcKqVascCVoLjbRJlitpSltji62yCNlYbJx1OgnT8bp9lXBR+u9EIuvQidOQTnev/muJs3vVtvb0UbO1Ige+UPcvE/bkmmUC0iGchDf5QRFva1Li6zoLa4ndar0AEDh1lLq93l64bdaFuIPqewvv2S2urW73DVFnJWWIxjdgiFJGXGhORMhAWqXH29pNlRKeZD2jh+oz2glf9WBlfynyNIccOiLW1KDurxFa6sJ9MgwgNTfuoNo3IvV7lbIMIblEiEmGbH791NVK+evT71fPlwp5ZVb7bW5QdCJSJCvrKz+X7HC6eq/OKl62vS602lmotP38QhMiNSWdhduOYOt480TAT3/6U+zfvx8rV67E4sWLASQnAvr06YNAIIBHH30Un376KX79619ntgHJ0E6fPn1w9tlnY9myZTj66KPRv39/PPjggzjqqKMwZcqUrOtTVAOSYDCIJUuWYMmSJZZtW7ZsUcqXXXYZLrvssp6qGiGEEHLEke1EwB//+EeEQiHL9+6MGTNw//3349Zbb4XX68WPfvQjNDc344wzzsBjjz0Gj8fT0WU7pKgGJIQQQkhvxTB61ocEyH4ioKNlXMz4/X7cfvvtuP32rvsEcUBCCCGEFAGJPAxILKn5JQQHJD2EjPvrlu6WWFLkRPxTF0+1xL51Bk6dXSv9t9vdHmOVKcROfU00xztFq4kRvh6ePqrOIHpQVYV7AmpqqlzSXsbO42H7dEOXt0zxPOh02fN02WOf1hsYqWpGjAa1rxjCd8TlEec3mZGFdu9Utuk0IOG9n6r7D1StzROtal2krkBqJizGZqYl7NP6jLK+AxH3J1MTIw1qCrO3QtX/6DQQ8rmJR+zT493CuE3eO9nXpSZGl6YsNS3yfA89ealS/tas/1TPJ4zOYi2Nyf8nkjolb2W14rWiM0Izt2es5ZC6TfZ7zXOhS/u1pBw71JhY7qXYbtFqCc2IRf9TAB+S3s6Rq9YhhBBCSMnAGRJCCCGkCDAKsNpvMcEBCSGEEFIEJI3RctWQ5KkyBYADkm5CZzmty5HXeVFY7MI1C7JJrw2pQ1DrYjNC72Cb9ERxitPjnfqUyFi2xQvigNCMiHsjdQ9SpyBj51IDk74X6f8bibhtfNqymF5cjXUHThmpbj+sXl9qRizn96qPvdk7RGpGEq3quaXGQmpG4k2qzkBaw/srhFfFIeEDUqm2rVlTEXcl+4nZh8Sy2JzQjMh7aVk7Rrwf2Red2pFLzYj0DXGqGVn4n+oS8Ddf9TtH55NIHxKJXXvqNCNSayWfG4s2Snq4CH8fp9byTq3ks16ioQSt40sVakgIIYQQUnA4Q0IIIYQUAYk8rfZbqnCGhBBCCCEFhzMkeUK7TLnQAeiWlNchNQhSdyCRmhHF20LjG9LxCTtfy0bnM5Kr5kSHxf9AoNOM6PwNpB+DNTYuNCCpe9WZbkTnIROsOVWtX516fSOmtqdL9L3Y4Ub1ePH+zDqQRIsa93eXq7oAt1/E5TWaEcvy9sL/pqxK9c2QviJmjFiynb0VfVHmSXppSJ2BRTMibKulR4zsi049ZaRmJCY0LGXVQlPSoLaHfIZ+uPxrSnnR9a+r53OoGfFW9Ev+P2Bd6RXQa3DMeql4m9o3PEHRVm32WitofD1091KHZX+5jpDwIZGfe536kPTgWjYG8mCMVsIzJByQEEIIIUVAfkI2pQtDNoQQQggpOJwh6SKW6b88h2jk1LYuFVQic9nl1LCR6Dz1L6t0OLN1vAY5LS6PyypEZLO/JVymee+6EI20rNalH3YWoukMt9cPt+n2yhCNtIKP16t26kY0AjuihxqVcln/gUrZExNT7aawi6ePsF6XNvqi7TzlalvJkIsMaUjk/vK58lb1y/xdlgo7xEItiKVSV2V4yiX6rgyvyb7t1YQsZF+1WLPLEIc4nwwPyvNd/dBZSvkXN74NO+LCWl/2bVm/tDW8N5ayjq/qjzJfe/+RIZ/OrOeBDtJ6NVbycrsOp6FT7XaZ5uvQOp70PByQEEIIIUWAYYCL6xFCCCGksFBDQgghhBBSYDhDkiUy3Q5xVScgbZR1mhGpEbFsd6hL0OoWRPzUrEGx6kvUc5ljs26/P1M/sxW6ery9JsSpZkRiifVK/Y5mmXLZ9jpLbIueR1xPd6/T7Ze+B4lYWEnDDpx0ilr/Q0KzIlO8y9QUzriwX5eakfC+z9X6CM2Np09V5m+pGfENOEqtW1R9rxbNSPVgtW6t6nuR98I/aJhSTkRUbZNZg+EJWvueR6QhSw2IxG1ZFkDVZEgNhUwNtaS29qlW62uTtgwA05Z+RSn/+kcfqNfvq947iU6jExWakPT2jP7m8EHFOt6S9pvSnHSEZQkFqRnRbNdpu2SKtk7LlbN1vCYNmPQ8HJAQQgghRUDCoA8JIYQQQgqMkQcNSSnP81BDQgghhJCCwxmSTpCakeihA53smR+kZiQR7dwnJLm/Uy8PNfZvto53l9l7nJh9MhLe5OjdiEUz2gmpsXB7nelfdMhlyWUsWmLRjMhlzr2qBkPGvnV+BDrNiDw+XZ+EO9kOgZNOBsLt50g0qrFxw0ZHAVhj32X91L4qNSO+AUNs6xs71K4bkJqReLOqsbDYzgsNQ1xYz8u4vaxLuG6Pbd3Mz2Ha/tzjC8CTSN5TqRmRmgjpSyKt7OX+Zt+NjpBeHFLTIfvav9wzSSn/4bb3lbJTDYpsb8v7ERqY9Pa0/sZsuw/YW8VbkHoaobXSaUokWg2K0JDo9tdZzUtNiZFQ/ZFKOV32SIEDEkIIIaQIyIuGpIQHVhyQEEIIIUWAAeTBh4QDkpJHTt1Ke26nduISS9qtCGPkGqLR2bhbQzqmtF+dDb352PTfZut4MZWbiMt0Pvu0WcvKxR6NhbNMuxXW6/Jeyfcu98/KKt+ExapekBDt6R9yNADAlwo5JBoOIxFq71+GaC+5Iqwu5CLDHjKVVoZRErJv922f5pcrA8vVez2VVUpZnltOg8u6y/CTRD6HiVB7yCfhSrZTrOVQJnXVsvpts1gJWSxboFvdViJDGLqVnsfeoYZo3lmghmh0IReJNkTjMLRsbjvAWXvI92qxkneY9us0jViiC9HI8KIlzVdg+Vwq3e/1koUDEkIIIaQIMAyjpEMuucIsG0IIIYQUHM6QEEIIIUVAArmLWnM9vpD06gFJ4PgTERyYjDNGP1NTJZ2mrOmQcXsZ25Y41Yzo0n6d7C/3VcodaFW0KccajYlOkyHRWkSL7RZc6nvQaUYs1xeprBKpm/AMTqZ2evxJrYoRicKItF9TpnoGjjlWvV5jo1KWdueBo0co5Widej6zNTwAePsL3YFpf0+l2q91KcdS+2TRNAg9jOxb0irdzmo+nTbtreqPMl/yeZKaCalXcqwZEc91IqLqjWT9h39ftYJfd+/fbPfXakaE9X70UL1SdqoZSb//dMq0Lu1XomhoxHPsVAMi20Lqcyy2/OJ8RtzePkBqw6TGRLv8Rgl/kR8p9OoBCSGEEFIs5MOptZSHVdSQEEIIIaTgcEBCCCGEkILTq0M20T1fINqYjFtK63aLL4nMoRd+BDqk14XUPZiXoweysYJXce5Dkv2+unPL92aJxRr2viQSl1fdHg+rmg0ZG5axY+uy5ur5dPodic6nxKIZGaLqIlr/sTF53ZR9d7SpQfGCkJoRI6bGut0Vqt+DT2hCwnt3K+WyauFdofH+MOsWdJoPqRnR+WRIzYm3qp9Slr4n0hPH/BymdRDx1ibEU+0n7428nk4jIesfa1H1OfL9DvzmGUp59/IPlLJFI1MlNB+HD9hu11nRZ6sZyeyfev/eeLJdpA+J7nipVzKj1YBIG3qpQRGfoU6t5K0+I/ZLTLiEdsyQn0vS3yitdXP4WZwLCSP5LxdKWQrTqwckhBBCSLGQHw1J6Y5IGLIhhBBCSMHp1TMk8VBzZlrQqW2xxOkKsS6PmE4UISNZ1p0vn+hCNKmdMumz1vcmVv/VrdYrpkp1q3gmYmoKtaVqDkM0unsnQ1AyNdMzWJ12b/tok7p/KqRTlgo5+AYMVqzjE21qSEoXYpH1lSGaeLPafmnr+jRGTG0Pu+v5h35JPVbUVYY4pG29EVX7hnllYcCaiilXv401NbT/bSTDDmY3S7lyczxivyyAV4QkdGm41d9QQzQHfquGaKR9urtMrY88vwwRyRCONTVWra/LI1fmVtsv2qS2r0z7VZZ86OD8crVjb3l7eFDeK23IRRPW1oZoxHa5urD8XNFZG8hwoMstQsOadH7S/fTqAQkhhBBSLCQ1JL03ZMMBCSGEEFIEJHq5DwkHJIQQQkgRYOQhyybX4wsJByQpdLoFmWImU9BibarltQ6LrkGTCivRps4KXYYTpGZCqWs6LhuPZV6XsVsZ13dJjYbGglrX9hJtW0hNi6ifTBuWSI2GZ4Cqc2j750dKWWpMJEYspug4dJoRqcuA0BHEDzWom8tFemSTqvOQsXhze3v7qe8tWrdXKcu4u7dCpCDX7YETLGmqIq3VnMbr8iT7kdvrg9ub6qOW1E6137t9qs5Ap9noO021gm94VrWCt6TFiude6iYsmpEm9V7JtF+JTuNiteJXzxdrTtYnhmQ7eoN94HW1t6nUnMhUXbu0aa0GRKb9CnQaFLnEg9TrSCzW8qJvyJRw7RITpMdhlg0hhBBCCg5nSAghhJAiIGHkvtpvKYtaOUNCCCGEkILDGZJO0C5xH9EsdS1y3i1L3kc7t2/OCsPezjhje9wJWXmNpFDi+Om/TX4GMrYrPVTs7KcBa6w5IS2hHXq86IgL/Y5lyXqhGZG6hLatm5Wy1AnALXxVUvbosWjKOv7gfkRs7Lul90fsgKojkH4JgaNHqNsPqbF5XWzfU95+/2INqqbAYpPfr59SlhoHi6ZBtKURVt+31CjIe23uS+m/jXg083zJ+lntxe29Jfpc+GWlfPjlWtv66PqyzmdE+qzoNCI6a36zTwhg1eBIHxJpHS/7gkXXYaMD0VnFO/UhSWuE2o9vVMo6DYnEJTxhZH2dLs/RE3C1X0IIIYSQAsMZEkIIIaQISKB3L67HGRJCCCGEFBzOkGSJ26fmsBshVYcg13mQ8VDLOgoO11vJN07ip0aiPeZspKrtLgvAHUtpJcSQXOoCLP4CYn8Z25V6G6nhsLS10C04XQeoTMT1ddez+III4s2qzqBsQNKXJL2WTVn/wYib1rJxib4V3vupUk6vhZM5X0D1OQl9vsu2Ppb1ZcT7MXuHyLaUniox4aMhtVWePqqmIa2fyVxbPAfSG0KuBZMwabWMeLJuRiyauYdSuyV9QeRzVnneJKXc9LqqGZHaLItGQ/Rt6Uui04RIjYdEd76yPv3V83Wydk1me6q+3niynT3lVfC62/ueTjNipwPR7SvratG9CT8d2TaWzw2B9B2RnjMJoR8qRs2IJAFwtV9CCCGEFBgj+Xst139OCIfDuOOOOzBp0iRMnjwZK1eu7HTft99+G5dccgnGjx+PadOm4Y033lC2v/TSSzjvvPMwduxY3HTTTTh48GAnZ+oYDkgIIYSQXsrSpUuxceNGrFq1CnfddRcefvhhvPbaa5b9Nm/ejDlz5uAb3/gGXnjhBcyaNQu33HILNm9OZh1u2LABCxYswJw5c/Db3/4Whw8fxvz58x3VhSGbTuhs6jONnGqW05Fxkd4op44tYQVxvG56UWeXLsklJGROfUzbwLtMab9ymtxiqy/STmUqpXyvbq9YYl3ag4u2k+ExrRW8sNeGRyxbHpUp28KGXwzjZVjCW9VPKYe/2J08LJjsM7GmQ4iZUi9lCrgM0cQOiVTcA/ZpzjJVVNq5W/qiqSzDV/FW9d7KcI+330B1/yZ12l6+N9k3IO6lXWqmEUs2vNtfDk8ieVwiFlH2l89l5bljlXLT6x90en6gc+v1zHbxuSBt+GXISxvyEWENmeoqz6cL0ejSkuOth5W+pztebrfdV7SdJQVZtq0I/8kQkCV0Kj7DPEE1DTjept4LmR6vQ7Z1KYR4cqW1tRVr1qzBihUrUFNTg5qaGmzbtg2rV6/G1KlTlX1feuklnHHGGbjqqqsAACNGjMCbb76JV199FSNHjsRTTz2Fiy66CNOnTweQHOicc8452L17N4YPH55VfThDQgghhBQBaafWXP45idhs3rwZsVgM48ePz7w2ceJErF+/HgkxIJsxYwb+4z/+w3KOpqbkj4j169dj0qR2jdbQoUMxbNgwrF+/Puv6cIaEEEIIKQISqX+5YCA5q9zcrM5u+nw++HyqaLyurg7V1dXK6wMHDkQ4HEZjYyP692+fwTvhhBOUY7dt24Z3330Xs2bNAgDs378fgwerIvgBAwbgiy++yLruHJAQQgghRxA7d+7ExRdfrLw2Z84czJ07V3mtra3NMkhJlyMRNRxq5uDBg5g7dy4mTJiAc889FwAQCoU6PJfdeSS9ekDireiHsmiqCYSGw27ZbUBv/a5L65VlnT26hRw1J3aaElkXczpdOkYfj4QQjyTbQKbn6eLqEpm6qV0WXLwXaTUv36u3UsSmvaLba2z2o4fqlbJsa6n5sGg20u8/9X+Xyw2XKbVZZxWvs8bX2YvL9pWxd7OGJtGmtqW8FzKFOHJA/fUj28a6pIKqQYnLNF2pwTDpCjyptGm7VILy/2eMUj782vtK2ZKKKtCl5UrdhEWDotGE6Kzldedz+jklreO9FX1R5mn/gpDPqrS2VzQ0MiW6ol/n+0LfL+30KcnLibTecrXf6vqq7nNHtvWRpBk57rjjUFurprTLwQIA+P1+y4AhXQ4EApb9AaC+vh7f/e53YRgGHnroIbhT7dzZuYLBYEen6ZBePSAhhBBCigUjH6v9GgZcLhcqKyu1+w4ZMgQNDQ2IxWLwpn6o1dXVIRAIoKqqyrL/vn37MqLWJ598UgnpDBkyBPX16o+3+vp6DBok1vqygaJWQgghpAhIW8fn8s/JcGbUqFHwer1Yt25d5rXa2lqMHj06M/ORprW1Fddeey3cbjeeeuopDBmizgyPHTtWmZXZu3cv9u7di7Fj1Uw3OzggIYQQQnohwWAQ06dPx8KFC7FhwwasXbsWK1euzMyC1NXVIRRK2ig8+uij+PTTT7FkyZLMtrq6ukyWzRVXXIEXX3wRa9aswebNm3Hbbbfh7LPPzjrlF2DIJoMuFusUqdGw+IaIeKzUCeg0JXJ/bbxU1se0v/TxkPbd5jhz3BVL1c8Htzc5Fpc+IzossVr5XjRtpfNUkV4XFs8XoRkxZFxe6AhkLFz6kkQO7LOtj39o8oH0p+L4nso+8Hjb/TKkVbysf2D4cUo50arGyg3heSP9HDwi9i59U5RzCWv3rPUx6WsJzYj0hNHF6S16IpMvSRzJNkvEo0ik6ln5tQnK/i1v/d22flLTIdH5iOh8OqRPiCQqvDckOo2JblkEy/Gp68Vg0n6Z+osnqOq/rN4g/doL4jmRbSH7rWFZokHVw0iNiDy/p0Ktm0UzotGqHUmakO5k/vz5WLhwIa6++mpUVlZi7ty5uOCCCwAAkydPxuLFizFz5kz88Y9/RCgUwmWXXaYcP2PGDNx///0YP3487r77bjz00EM4dOgQzjrrLNxzzz2O6sIBCSGEEFIEGMg97dfp8cFgEEuWLMnMfJjZsmVL5u+O3FslM2fOxMyZMx3WoB0OSAghhJAiIJEnUWupUlQDknA4jEWLFuH1119HIBDA7NmzMXv27A733bJlCxYuXIhNmzZhxIgRWLBgAc444wxH14u1NCLalJx2lLbGLrHirExZs1jHC2RasCXNVxzvcsswgtqp7EIu2SDDIG5ve1hGhmikFbwn0D7l7/Gnps3DrRZ7/Mw+YgVYGRKRYQFLXUVIxOVR2yohjreEaMT7gVtYv4ufEDIEEjjmWKUcO6hOm+tCVDKNN70arytlHR89uB8Rk323rL9Mbwzt3qmUdcsayDCLTM21o6y/eqy0grfrR4A1RCNDDDIkI8Nftm2bmoKvOGsMPNHk89D8hsYKXpOGK0MycgVaSwhDE8Kxpi33U88vngWXCM3GWkRIqFoNwchlBHwDh6rbG9Ush7Kq5PtPrzTt8ZfDY7TfQ+1qwabtMhxkWQZAIN+bDOFI5ErRRkTdX2eLL+89QzilR1GJWrNd5KepqQmzZ8/GiSeeiD/84Q84//zzMWfOHBw4YO8hQAghhBQrPb3Sb7FRNAOS9CI/CxYsQE1NDc4//3xce+21WL16tWXf559/HuXl5Vi4cCFGjBiBm2++GSNGjMDGjRsLUHNCCCGE5ErRhGw6W+Rn+fLlSCQSSk70+++/j3PPPRce0/Tqs88+26P1JYQQQkj+KJoBiZNFfnbv3o0xY8bgJz/5Cd58800cffTRmDdvHiZOnOjomoGAH8FUXB+RZtt9q446WilLO3GJK2h1uTNjSOt5t+ZWuITmRMTeLecX8VqZ3me2z5H23f6+atpoPNKuCyhLaV0Cwfb6uGWqp876XcSWXUJPo9OYeEVc3ZIKKeYtdfcqMPgodf8De5VymdBNBPqreiNPX9VuO7L/c6UcrEhqagKB5PusqB4AT7DdYtktrJWjQgcQDAq9UlxdVj2o6Zsev9reZf3VBbDsrl0WVO2jXR5hOy81EW5VVyDT02WqpyyXVahtUfHVdlMlf1nyPsT/dxPiKQ1OQLw3mfIca1M1KYH+A223uxJqXwoMUjU1Fo1Hhdr3vUKDEW9Vny0jIVLWhTbM319oXoQ+yD9A1P+wqgHxV6t9M9ac1MB4Up8f3ngrvLH2z57AILXvx1pVzVDw6HYPCdk35HuVz6FMWfaKzyBPX/X4hNCkRQ+LfiyfAx150owEnF43B4yUuVmu5yhVimZA4mSRn9bWVjz22GO46qqrsGLFCrz88su45ppr8Oqrr2LoUFXkZcfPls3PveK9lGUrFha6CiXLL5dZl/Am2cO+13XYdsVNAgYSjrxWOzpH6VI0AxIni/x4PB6MGjUKN998MwDg1FNPxV//+le8+OKL+N73vpf1NW+duxiNDfbK7TRlfdVfJtoZEk0WjnWGRCPnEVk/3TlD4hHqefMMSSDgx7JHf4y51y1EKPUr1fEMicDxDInml5nTGZKyAXKGRGSliBkSj0/0R80MSZpAwI9lj92Jf5/7AEKh7GdIdL/0nPZNJzMk7jI5Q2JvWifvhdMZEnk+OUOy5JqZSt+T6GZI5K90ywyJzAoSC0fKGRL5HDqeIRFYridmSOT55QyJt1IujpecIQkE/Vi2YqGl7Sz7ixmSsn7tfavHZ0jkc+gwszCfMyQcyPUMRTMgcbLIz6BBg3D88ccrrx177LHYu1edatcRCoXR1skHmyTuF4MlzXFu+88dS1qwNo3X4YBEfhF4XSIV1vSlHRPvxQt1Gjy9qq+ZUFt723nENHdn6cCdIdtKOyDxqvdCNyDR3at4yP7eujzql6Ynrra9x2HfCIUiCIXa93G7xAe5OF6Xrui0b8r3a3dtd0ykYHtlzrTaNnLAkoiq13I6IEmn95ox9z2JeSVboIO+LUKfcrtlQOLW7C8HJKJvxi33UjMg0VxPnl/erzLNdtl2cn95vXigfbs8l+45tOwv2t4TUI9P6J5DhwMSpvmWHkUzIDEv8jNp0iQAnS/yM27cOPzv//6v8trHH3+Miy++uNvqJ31IdMgBhw5dDr3FPt2Qm4X/gvBVsVtWXfoJSB8ShXjyQ8ftC8ITT9ZRLvutQ3qw6NpK/uqVGOJLz+LLUa3OCLi8areXdujSx8MyGPQIO/KD9rMK3pRuwZfygnD7A3Ab7efQWc/L+lsGXJq+aVkG3uZ6On8dSz8U/S4eVmcQZFvIey2XSKic+mWl3PKnDe3XCvqB7yX9LdypgZHF+lz4jMgvSdu+DdVzBwDiYkbE4lsi2iPSsF8pSx8Ui++H9EkRvieyfeVzrPNZSX8OeFN9z1vRVxm0yfpYPWza+4q8lmxb+d4DI05QynLGwgipfSFSr/6gzHUAol1Oowh9S3q7hqRo0n6dLPIza9YsbNmyBcuWLcOuXbvw4IMPYvfu3bjkkksK+RYIIYSQLtPTq/0WG0UzIAGSi/zU1NTg6quvxqJFiyyL/LzyyisAgKOPPhr/+Z//ibfeegsXX3wx3nrrLTz22GOW5ZAJIYQQUhoUTcgGyH6RHyDpUfLcc8/1VNUsOA07OMXp9KMMa+hWrE2E21NHtdPYJtGqO2UdbyRimXi4bmViuZqwLsTjFcI+OS2OuKo7kPWX087Sblvqa6T9tpw61mEJqQir+sj+ZEjInbaOb2pQ4utSd5G2+04jhZG69vMPUdOAYw3q+7cLy8hpeN21pBW8JeQhVmSVywqUTxmtlJv/+KGsUObP9BIEZvtzeX6JTnDtKe+nlGXIQz6HCRHikPfOEh4T4TQZSpUhGollpWmBRTjaRxWppj8HvJHkPY+1NSk6Edn3ZfjTXF+5JEP0oBr6Cxx7olJOHBICYL/a73QrRzsNqTjdXgwhGqJSVAMSQgghpLeSF/v3Eo7ZcEBCCCGEFAEGkAcfktIdkRSVhoQQQgghvRPOkHQRS/qiQ02J0/il3C41I3FpACV0GDKWba6vrItM1TTrCBLupH7DiEUtWow0UieQiHXue9FRXSWW2LXQx1jeq0hrlXFyxFQvCKkZkZqYskEizh4KKWWZ7ihJ6yzc3uT7cLlcin9F2QBVg5IQ55fING1PldoXwvs6NmbrtH6m+5WIqte29A2v2s+dakwqvqZqRlre2KCUpS+Ju6z9XqT1LbGWQxaPizSWNFixZL3UuMjtlvR5aUQm9pf3Qj5nUmMSaxbGY2IZBEP2TU1Kty69P90e6bTfsn4DFW8Rqc+S9fOZTPSk5iN4wslKOd6oHusWtvqhzz5RylrNh2g7Q9js63R1TtOGi4FEPtJ+81OVgtDlAUk0GkV9fT3a2trQv39/9OvXL4/VIoQQQkhvwtGApLm5Gb///e/xyiuvYMOGDYhGozAMAy6XC0cddRTOOussXH755RgzZkx31ZcQQgg5IqGoNUueeOIJLF++HMOHD8c555yDG264AYMHD0YgEMChQ4ewdetW1NbW4pprrsmsxHvsscd2Y9UJIYQQcqSQ9YDkH//4B5566imcdNJJHW4fM2YMLr30UixatAjPPvssPvjgg141INFZYlv2F/oLXTxVxuKtmhHV0lrnLWL2m/D4heYjYrOGRAdxWakZiUfaLPuYkXF5eMRaNCKIatGMyMX/hBeFxQtCaERkW+o0GWkfkc6Q57Nsr0xqXDzpOP7Ao5T1ZKT1vNRxyMXzpPV9rFH1spD3Q66fIvVOZh2Ipd85vLey31ecJzQja/9hez6pBzLf24TX+tPPspiexjre4lsiNBQ6DYrlORPb5XNcJnxBINa+iTZobP/lMgYC6bFj8aBJ9Y2Ep+OfzfL6PrHQpFnTo9WMVKrPUWjXDqWs1XzoNCOahR2dcsRax+enKgUh6wHJz3/+86z28/l8uOKKK7pcIUIIIYT0PvKSZRMKhRAIBPQ7EkIIIaRD0mvZ5HSOEp4iyUte1De/+U3Lazt27OhgT0IIIYQQKznNkLz55pvYvn07WlpasHfvXgwd2u7X8IMf/AC///3vc65gqdKZR0dnWHxGhK7BHVB1Cq6IGquPNjfanl/GX826Aa2XhElHkPahcPvL4Ul4sjpe6gJcQmdgiLaScX6LZiSiaizkEvQ67wYjrl7PW6VqTqIHVF8Rl4j7y7V5pM+K2bsBaPdv8KTWsol8sRvhTnw0AOvaODqfE4nUtLh96uxlrFXVH5lj51KTAeELYl0PRNVoVP2/E5XyoT+8r5R1Ph+yH3ekO/BW9EWZJ9nm8bBG0yLaItYifEA0PiNSx6B7zqR+KSb2130uSA1IVOiLLJqXgarmI1r/hbo95XOS9iGJNtYrHi4+6bEjfFDMxA+p/cbdR33uQp9sV8pazYdLaDY0mhGnPiRO17IpBgyUtgYkV3IakJx00knYu3cvGhsbcdttt2Hv3r0YMmQIBg0aBK+XnmuEEEIIyY6cRg3Dhw/Ht771LZx88sn48pe/DADYt28fPv/8c5x88smaowkhhBBCkuRlGuPpp59GbW0tTjrpJJx88smYMGFCPk57RCOnI9O24pmySMV1Om1vsWMX06PmtGFteps5ZJH624hHLaGPbK+dENPsMkVZHp+QIRoZghDT8BIZApHOQ9ISW6auyml2v7T7FmGNyAF12jx9vkyoyuOFy9N+TFmVmmqaa4hGhtAsIRzx/jwV7ams8RZppa6+N2m9XnVxjVJufP7vSlmGdOSyBDJEIlOSzddLhx3i4VbEQ8mwg7w3Oit1S0q4JrynC8FI63eZRmuIviaf+7J+an0jdWqKui7lO/zFbrW+Ik04ff/S//f1H4KEKeVchmjk/YLpeu4+wgp++1alrHtu5HbLMgGa43UhIF2IRkch0nwtdchH2m8Jx3zyEkS76qqrUF1djXfffRe33norJk2ahH/7t3/Lx6kJIYSQXkF6LZuc/hX6TeRAXmZIxo8fj/Hjx2fKtbW1+Mtf/pKPUxNCCCG9gt5uHZ+XGZKmJlV9PXHiROzdu7eTvQkhhBBCVPIyQ3L11VejubkZI0aMwEknnYQ+ffpg8+bN+Tj1EYvUjKTtxdNEDuxzdD6pu5CpnXZYlpgXcX6zJiHhTsWkY9FMjFfabcOtpskm2lRNg8UuXKT16uou4/ISi07AoSbDohk5arh6PhHnt6QFizh8WSq1sixtHd+nGvGy9jh+9JBI7RRI+3ZpPy5/Ulns3oWmRPYVqbOwQ2pGGp79QK2KSM2UdZEp0jKF2luhWrOb9UNG3Pr7yZK226zqieT1o4fV92qnpwGAaJNqy++tVNOipf7IYvUel6mu9tbxUjMSb1GfhURMTRfP1lo+FvF3uN2iGRHPrruqXcPTtuWf6rEyLVfqjTTLDuiOd2oVb9GMCO1arlbzpPvJy4DkueeeQzwexyeffIKtW7fi0KFDeOSRR/JxakIIIaRXwLVs8kA0GsUf/vAHHDx4ECeeeCIuvPBCuIvQdIYQQggpVgzkriHp9Vk2P/zhD7Fx40YEAgG89dZbmDFjBj7++ON8nJoQQgghvYC8zJDs3r0by5Yty5T/+c9/4ic/+QlWr16dj9MfkXiCqp+D1IzobJN1ltc6FN2GiGtL63YlNpv62xPsA68rqYmQ3ggy7u0OCtt7jxq3lj4kuri+EVV1CNKzJSbi/jqfDqk5ke0RaxAaC+l/IMb1/qOE/Xd9UicQS1nHx5obETPZd6ft+DOXF+0jkX4JMjYvkbF8J/qiwVedoZT3P/k32/2lj4iRED4Xom3dZaqWys4XJG4k77u3oi+8Kev4mPRNEc+JW+iTpAbDK63rRd+R55N9y6JX0jzH8v1L6/ZYw0Gl7Omj9n2PnM8XOolYo6pHSvukpPVLhmEoGixXmfqsuatVfVHbR5vat0kfEemxIvQoWs2IvFcanxKtz4hGM1IMPiPEnrzMkFRUVGDXrl2Z8qhRo3D4sLMvSEIIIaQ3kw8fkhKO2ORnhuQnP/kJbrzxRvzLv/wLTjzxROzYsQPDhg3Lx6kJIYQQ0gvIy4Bk5MiReP7557F27Vrs2LEDX/rSlzB37tx8nPqIwT/0S0o5vPdT2/3ldKbTFWDldKacrpRhErtjvRX92v9OTf26/QG4DXeHddGllVpWMhZTtXLaX5eW6hIhJjl16xXhMRkui7eKtpAhLGnFLkIgZYPV1Mvw3s+UcvpeplOmXW4vXO726WhLWEOEMRLi+hZLbQdp2x1hPn7oNV9Rtu19/H25u4IMh8nlBGRd5f5OwkdpoofqEUmFvGTfkc+JTKn2lqshEBkikm1pCefJuog0Ynm8tIZ3+dS+HROr+Xr7Vqv1O6g+W/5jRqjbP1c/R6SVfSaNN/V/t98PN9r7t3ug2h5tGzaqh5ueRXlvZYjGkrYrP4M0q/nq+rVupWmdHUBJkAdjtFJuhqwHJM3NzXj44YfxzjvvoKGhAX369MGxxx6LCRMm4MILL8Txxx+Pr3/9691ZV0IIIeSIJR12yYVeMSCZN28eNm3ahMsuuwwDBw5EKBTCAw88gN27d+Ohhx7ClClTsGjRIgwZYm/UQwghhBAiyXpA8te//hVPP/00Tj311Mxrv/zlL7FixQq43W4sX74cl156KZ5++mkMHz7c5kyEEEIIISpZD0gGDBiAtraO0wuPPvpo3HPPPXjkkUdw3333Yfny5XmrYKniVDNisV8XSJ2GTiMiy94K1fI61qJabJvxBFUNiJI+l/o72liXieM7OTdg1a/IFGaZdizRpkTLOLzQCUiNi9RwSCz23GJONfTZJ2r9ZKw7Xd/U/10eL1ze9ni7SzyGuvazaG58qmbEbLcOWDU58vhjrj0t8/eny/+u1l3E6S0aEBstUkfo9Czy3ijXDqTeh9udaWNPQNUDybRcSyqqXUo7gLIqVfMh04B1qaRSwyKXTYiJtGDZtyIHvlDrIzQhoV07lHLgmGNhSyqF3OVP3nP3oCq4I+1ajbZ1/1B2l1b+im5EaLMsmg9p9S5weTSaEo2Zpm3dcGSk9eZlcb0SJuu0329/+9u44447bNeo+dd//Ve89957eakYIYQQ0ptIO7Xm+q9UyXqG5Lvf/S7279+PGTNm4Ktf/SrOO+88i6r5lVdeQXV1dSdnIIQQQgjpGEdpv/PmzcPUqVPx+OOPY8mSJQiFQrjkkktQXV2N5uZmhMNhLF68uLvqSgghhJAjFMc+JGPHjsVDDz2ESCSCjz76CJ988gmam5tRXV2NM844AwMGDNCf5AgkV81ItOlgJ3t2jIyXSh2G9ASw0yXYxe0BINrc2L5vPBnH95RXwetO23er55aaEsuy32JmzXz+jtBqRmRbanxLdN4XMq6fXsI9jYydSyz6nZR1viflQRFva1Ks4yU6fZDFLlzzfqSG5OhrTlPKn/7fWtO11H4jkRoQXdzfovEQdZV9z04/FHfFUueshAdJrxZd39H5klg0I8JXRKdL8A9SDSClZkQua+ATyyhIq/nA0arPCPw+URTW/HFhpy729wxJtq/Hl9RftP1jE0I2yxYk4jZ9WzzHuudSu11j/S5t9o9EzYiEq/12EZ/Ph3HjxmHcuHF5rA4hhBDSO8mHBsTp8eFwGIsWLcLrr7+OQCCA2bNnY/bs2bbHfPDBB5g3bx7eeOMN5fVJkyahqUn90fHhhx+iokL9YdIZWQ9I9uzZ48gOft++ffQkIYQQQoqYpUuXYuPGjVi1ahX27NmDefPmYdiwYZg6dWqH+2/ZsgW33HIL/H51dm3fvn1oamrC2rVrEQi0Z/6Vl5fLU3RK1gOSSy+9FOeddx4uvfRSjBkzpsN9mpqa8Oqrr+LJJ5/E5ZdfjquuuirrihQ7lvQ6MQwNfb4Ldsip3XDdnpzqY7FnF1PXuql0c1jFHRBW483qCNec6ulOdcJ46+FM2EGX9qsNQWiQVvNyatdpuEtiTb3c18meSWTarGWqWaaapsIc8bR1vLcMbm97G8gQkCUc11cNK8jUVhmSkZz6H2OV8j9/vkG9nqkvW6zgRV0SUZlSHBBlNWQgQzCy38oUZYly/dTf8VAz4qm+Z1nmQFrDi3R53XNoSfEWWO5tq/r+5MrWMtwnjw+MOEG9QEwNa4R37VTrN1itv8snUsAHqs9Ky3vJNO5E0A9gFlxuj1IHufqxrB/cpvNbUp7V8J5utV7LcyM4IqzfS4zW1lasWbMGK1asQE1NDWpqarBt2zasXr26wwHJb37zGyxZsgTDhw9Hc7Oa8r9jxw4MGjQoJx+yrAckL7/8MpYvX47Zs2fD7/ejpqYGgwcPht/vx6FDh7Bjxw5s27YNNTU1uPXWWzFlypQuV4oQQgjpbeTLOt4wDMuAwefzwedTfzBs3rwZsVgM48ePz7w2ceJELF++HIlEAm4x4P/zn/+MJUuWZJaSMbN9+3Ycd9xxOdU96wFJdXU15s+fjx/84Ad4++23UVtbiz179iAUCqG6uhrTpk3D5MmTcfLJJ+dUIUIIIaS3ko+Jop07d+Liiy9WXpszZ45l0du6ujpUV1crA5WBAwciHA6jsbER/furCQOPPPIIAOC5556zXHPHjh1oa2vDlVdeiZ07d2LUqFG44447HA1SHItaA4EApk6d2ml8iRBCCCGF47jjjkNtba3ympwdAYC2tjbL6+lyJBJxdM2PP/4Yhw4dwg9/+ENUVlZixYoV+M53voOXX34ZlZWV+hMghyybd999F++++y4OHDiAhIgzHwleJFIzIu3BJTI2LclVMyLRpXrqdAgub/ut12kmzBqRdCqfJ9gHXley4xpRteNKHYIc8su4tYz7y1hyIqLuH4+oSxjI9EKZLugVKdES3fuXSM2Hx6emdsr0xLQVvyeQaq9YVDmHvDeG0BHINGbZvlJHMWHeqUr5/YXvW9+ECXNsX2cFL/U8caEBke9dIjUjujRjc0q3N9V+SCQy/Vumu8daDytl2TbyOfQfpca7I/s/F8ermgppX+6pFFqug2pfkmnF7ko128CIqO0V2feZWr+hIh7vVfu65yj12UlrRjLXS91bV+r/RiKutLl8f7qU9o7OnUY+t7qUYvmcyrro+pJOJ+eUYkgjzleWjcvlymoQ4Pf7LQOPdDkgtIU6Hn/8cUSj0UxGzQMPPIApU6bgrbfewrRp07I6R5cGJA8//DB+9atf4bTTTsOgQYMsHYsQQgghxc2QIUPQ0NCAWCwGb2qwW1dXh0AggKqqKs3RKlKj4vf7ccwxx2Dfvux/8HVpQPKb3/wGixcvxvTp07tyOCGEEEIEPb0WzahRo+D1erFu3TpMmjQJAFBbW4vRo0dbBK12GIaB888/HzfeeCNmzpwJIJnBs2vXLhx//PFZn6dLc17RaBQTJkzoyqGEEEIIKQKCwSCmT5+OhQsXYsOGDVi7di1WrlyZseyoq6tDKGSfmg8kQ0Rnn302li1bhvfeew/btm3DbbfdhqOOOspRxm2XZkguvfRS/OEPf8BNN93UlcOLklw1I/nWiEg7dInOe0PG1qUOwRx/tVi9C+Jt7XqVOJJxYSMey2gdpKbDUhehkfB41anA2OFGtW7C10N3fotmpN9ApZxoUfU2UichfTzk9V1lVjGYGamhcbnVxyrtyxJPJK9T1ncg4v72Y2Ia+3PL9YTuYtw81QpeakZkrF16h0g7eDus1vH2GgQn1vBAu94mjbmfe2PJ9vNW9EWZJ7VsgdCMSB2Ar98g2+uFv9itlOVz4+4j9E1CzxRtVJ8rqRmJt6nvV1q7Rw8InxRhHW+xgj9abZ/mdz5Q6yt0Hen7YcSSfcDlKYPLY/LAiXa+hIE8n9TPSE8aS1/QaEakf4+uLhKdv1Gu/keFIB9pv06Pnz9/PhYuXIirr74alZWVmDt3Li644AIAwOTJk7F48eLMrIcdt956K7xeL370ox+hubkZZ5xxBh577DF4PB7tsWm6NCAJh8N45pln8O677+KUU07JxJ7SzJ8/vyunJYQQQkgPEgwGsWTJEixZssSybcuWLR0eM3PmTMsgxe/34/bbb8ftt9/e5bp0aUCyZcsWjBw5EgCwdetWZRsFroQQQghxSpcGJL/+9a/zXQ9CCCGkd2MAhpHrj/rSnRTosg/JkYD/qOEIlCdjvDrNiCRXzUiuGhGJ1IHItW1kbNzsGWDWiACaWGtqWyLShnik45ivTr8ikbFe6Wsjt8s4vSF0C5H6vbbXk14aMnYtQ7BxsTaPU9IaFVfq/9FD9Yi0dR4vlzoA6Tsy+U5VM/LOAnufEd16NGYfF7dX1Szo1qbRaUakX47cLnUEtusgpf6OtTVl1lHSaUYijXWww6IfEm0frVdTFqU3Rlm1er1Em6qx8farVsrhfarPSSBHzYhlbSCLninVfqn/G/Go8h5kX7PTich7rVubRjdbnqtmRLe9FDUlBnp+td9iIusByeLFi3HLLbegvLxca3xGDQkhhBBCnJD1gOSjjz5CLJVV8dFHH3W6HzUkhBBCCHFK1gMSs27kSNGQlJ8xCLFQytb7ExFCiavzXkZMnd5rrV2f07WdhmQkMu04LlJbpSV2XKTW2lnP2y3pnrbv9lZWo8ybmh4Wy5LLcJEO3dSqtJaPHlZDQE6nXi1pv3LqWbyfzlIpO0OGAdJT00b6aXO7baefZVrvzKWTlPJz8z60vZ483mL3bpd6K+Z7ZVqtRBeikcjtsh2y6XuKdbxIKXcaovFWilDnoXqlLEMybmGnHTsobP2r1PO5guqyAsETT1HKsu/KEE3L/2d/r7Vp1Klwn8efChu6PUp6rgzRyLRu87IIMo1XWsXrMOIx2+26kIrT57wUQjQSI2H5+OnCSfJSlYLQJWO0UCiEtrZ2b4jPP/8c//Vf/4W//OUveasYIYQQ0ptIO7Xm+q9U6dKA5MYbb8QLL7wAADh8+DAuu+wyPPHEE7jxxhvx9NNP57N+hBBCSK8gLwOSQr+JHOjSgGTTpk0Z3/s//vGPGDhwIN566y0sWbLkiAnnEEIIIaTn6FLabygUyiwx/Je//AUXXHAB3G43xo0bhz178muh3p00vPAhGg4mY+T+oV9StoX3fmp7rNP9c0XGymXasUy1lZbYTpCaDbMmIR2HjTU3IJpKvdTpAHSxW1l3ic4e3Oky5LksuQ50oDlxaoFt0kAAVl3Alf9H1YysuvmvtqfTtZ/U9Nileups5KUeRacJkW0jRe8WvYvUC5nq7o2nrONN+iWZUi7bsqyfTBFXdQyRBtW63Vc9WN1+QE37le/PN/hodbtX7VvhTz9Wyv4vqQuNlZ2sateaXldTuHX6JonbKzQmqfsZd8c72t2SAi5TzM3bpd5E3jvdvXWK0zReSSloRohKl2ZIvvSlL2Ht2rXYu3cv/vKXv+Css84CABw4cACVlZWaowkhhBDSETnrR0o4ZtOlAclNN92EpUuX4mtf+xrGjh2L8ePHAwD++te/YtSoUXmtICGEEEKOfLoUspk6dSomTpyIurq6zJo2AHDmmWfivPPOy1vlCCGEkN5CPrJkSniCpOvW8YMGDcKgQWqO/pgxY3KuUKGQGhDp4yE1Gbr9LYjYr7SQlkjNiIyVW+zZNd4f8nwuYQluJt6k2nebdQVxI+U9YvLS0MVqpZ23tHrX1d2pRsViBy50DPFIG5xgub5HxvXVjwCzd0NH13OV+eE2SRmu+cVXlO2P/0DVEcjzucTq2rL9dO1l1byEOt9XIDUmunNLn49YU4O6XWhGpF6oQ+v41kMZ63jpx2NE1b4ltVYWDciAIer1D6n+QPK5NoQ1O+KqTiLerGpqqr7+ZXV7q9pXm9eqVvDyubZYwYul3BMRVQMi+1pag5LWTRmJuKLtkHoqaY2vbJf+PNJmPm6vxTIvUQBYNSc6LVeumhFqToqfXr2WDSGEEFIs5MVHpISnSLqkISGEEEIIySdFNUMSDoexaNEivP766wgEApg9ezZmz55te8xnn32GadOmYfny5Tj99NPzVxcRorGkA4p0QadptpYwhpj61a2Qa1nNV7d6sOZ8TnGXBeCOJadc5VSop1JMwwvbel1qqQxRSBIxNa1WFyKxhHAcpiV7gsIeXaxIq6tveho+bX1+xy+mwED7/V74/beU/XVpw66YJiRjOSD7tGTLvQxUqMeKEIFXriItw3GaUKPOmt68snNZqv18/YcgEUqGMpyGZBBX77UM0Uir+Mj+z223RxtUq/ryfxmnHr9V7SvhnTuVskzT1bWHEbYPT3a2zIGR6jNurx9u06e+kVDToC2pvDY28zJlWIsI+STi9mm8lnCSJo3Yafp/MYZo8mEdX8pOrUU1IFm6dCk2btyIVatWYc+ePZg3bx6GDRuGqVOndnrMwoUL0dpq/wVHCCGElAK9OWRTNAOS1tZWrFmzBitWrEBNTQ1qamqwbds2rF69utMBye9//3u0tNgvLkUIIYSQ4qdoNCSbN29GLBbLeJoAwMSJE7F+/XokOphaa2howM9+9jPcfffdPVlNQgghhHQDRTNDUldXh+rqavh87emoAwcORDgcRmNjI/r3VzUS999/P2bMmIGTTjqpy9cMBPwIBv36HQEgpMaCq45W0wGjB1VNiQ5vmRofdQXUNNyKY061PT5epy6TLnUNlutl+z47oKzvwMzfgVQ9y/v0scSvM3VpVVM7fW4R9+5XrR4g5igTUgMiNBruQD+lHG8Ts2QBYXEtNBPuCjUV1fI+3Go6YuywSAXtq15f1tclzvfTh5LePC4k7/n/ufUdhNra6+TzicfQp+o2LOmVmrRleX2Z9iw1ODAN+L2V6r2RmhF3ubo91qamuUL8eLD0O0O9ttevvreyAUcpZXMKepmRvC/uloNwp9pPPr9l/VWtV7RRfU6kDiJwlJo2HD3whVLuM1S1ho8dVvt2n8kT1Pp+JlLmd6uakfIqVV9luZfCul3qf2RfdmmWMXB7k9dLP7eBoB8wpdsmYiKtWOg2zH3H0m+E/kXeey0ezddPPCZe0Px+1mlIuqgZCeTw2ekUw3DBMFz6He3Okae6FIKiGZC0tbUpgxEAmXIkoj40//M//4Pa2lq89NJLOV3zZ8vm53R8b+YXv/z3QlehZFm2YmGhq1DSsP26zoO/mlfoKhAb8mKMVsIjkqIZkPj9fsvAI10OBAKZ10KhEO68807cddddyutd4da5i9HYYK9q7wzLLzGnMyTil6g0PHJXq7/iJU5nSHJBzpD8/P/MxQ/+/ZcIhSId7h9rFXWRxmXyV6DjGRKRVSNnSASWGRJxfaczJLI++hmSC5Kvw4MBfU7H3OsWKjMkul+KRTVDIgz1dDMkFuSvWLG/3QxJIODDg4/cbm0/8/EOZ0i8Ver7lTMk8nxyhiQ4sUat7x6RVSNmSDzlmhkSSc4zJMntgYAPv1x2K265aYny3OY0QyLp9hkSDd04Q8JBcM9QNAOSIUOGoKGhAbFYDN6UE2VdXR0CgQCqTNOcGzZswO7du3HzzTcrx1933XWYPn26I01JKBRGWycfbDri4ss44vA86dVK01gGJGF710J5/WgX30c2xP3WgUcoFOl8QCLqItPrPAn1vcoBSTwi0nrj4kMW6vFxzXuXaa7y+u64mCIVAxLZtrI+sr5u8TlqTvEFgFCb2u9cHvt0RrdHbT95Pcv+4vq6AYn5/sh+mQiL9yaqqrvXEl3KtezXHd1b2X52x8t75xJt6fXZP8fyfPL9uiLqcxoXz60cOHnd9u1rQZOy7faK9rYMSNTtoVBEqVM+ByRO02h1/d5wOCChE2vpUzQDklGjRsHr9WLdunWYNCm5/HptbS1Gjx4Nt6mjjRkzBq+//rpy7AUXXIB77703s+pwTyCXJZd+B3K7JNqk/uqWviShj7fZHu+tsJ9ByQVZl0hju9eCJxVPjTU3ZD0Ikh8UOvtxna+IxYrd4TLl0h472mSfNi4tr3U+J79aOUMpf//K3wBI6h1WPPVVxXY/WT8xQBNIS26dlb3Ox8SyjIDp+tFD9XJ3BZ3tvqybzhre8tzU7+303In0YMLUfubZO8D63ElfDm9VP9vrSSt6l09oToadopTjn6szIqFdO5SyR8zGyZlMrY+IHEyL80kvELdX9tXk9rgnOehPxCLKIMTjU2eZ5bNjflZytWa3zPbkOuAQ53Nq4OHUj6gnyIcPSSmLSIpmQBIMBjF9+nQsXLgQP/3pT7F//36sXLkSixcvBpCcLenTpw8CgQBGjBhhOX7IkCEYMGCA5XVCCCGkFDDQuzUkRZP2CwDz589HTU0Nrr76aixatAhz587FBRck4++TJ0/GK6+8UuAaEkIIIaQ7KJoZEiA5S7JkyRIsWbLEsm3Lli2dHme3raeQU8XBU1WxW6JOFcPJVUnNYZFskFO/uhCOd6A6tR1vbOx0X6d10WHRkIhpZ2kJLWPVuqlVXYjGXaZOSzu1vJZTyzKk9NvV1yjlSy972PZ80r5bKxbs4HgzMqQj21dit4xArtPYMkQTD6shHp31usQcPkxbx5dVDUA8pf2INduHQGSIRl7PN3CoekER8jCEvXl8v/ocR+rUkI9se1140qrvUe+lxS5d7C+t/WOtqsg4s9pvKtXX4wvAY9JM2YVoAMAw/dzWh0Y1oUeHq/lq+55h/zmgOz8pPopqQEIIIYT0WgyUtAYkVzggIYQQQoqBXi5q5RwWIYQQQgoOZ0jyhEwXbPtok1KW6Y1G3D4H3ylun725l0xH9AYrOz2X3BZra86pbpY0Xk1c3aluwWJsJn5iyOtJnPoX/PFZ1e3yvGkLbc8nj09E2rReImZk+xmGfeze6fs1188T7GN77lhLo1LWaUakJkGXDu+rVo3IIg3thoOZlPOWwxk/EG9fdUkJee916fkuoRlBTKSiiucovO9zdbNI09W3vbhXMoVcnE9qRAxRv3hINQWUWjIjGkldN/k+E9GwkkrsRNdh0YJJg0Abfxt5rmyQ6fZONSM6tPYABUgD7u1OrZwhIYQQQkjB4YCEEEIIIQWHIRtCCCGkCMiHMVopi1o5IOki0r8gXLfHdn+dpXVZHzUW7h2qxtITYhFAGUs2x9qzwYkuxKwpScfx3f7yzJowbmE/nQjbW71LnMZydV4POnSxbOnz8cYLP1HKZ3/9DkfnS1u1e1M+Gua2A+D4E8jiFaGJdXvLVV2I9Kow6w50izRKDUa8SfRLUTdvH7F4nfBAsSxTIPqxWaeQ1kl5K6rg9SS1EdL6Xd4Lqe2SPiMWzYhYUyr8xW6lLPVK8v1afEaEZkT6ilis4MXaMlKT4/aqixvK83e2GGJaj2EYhuototFpmH1P3GVCL+NwGQGd1bvlvcTs21aHfG/ST6gYNCMWEql/uVDCAxKGbAghhBBScDggIYQQQkjBYciGEEIIKQLykvabn6oUBA5IuojdMukdERhxglI2WkX8VcS227ZuVspyyXipIelOzHqTOFJxXdOTE206qOwv4+KWtVWcPnEu1QvCqY+JxccjIWPJattLzci5M+5Vz6dZKyYdt08Ta0qufxKLJfUHiXAr4uF2zwbd2js6jYzUiEgsXhVSU2LSjUhtk0RqoWTdpWYk/d7TSJ+R6KF6pWzx4ejT7nPiSWlwoo11iLR17OMi18rRakaEz0hkv/AZEZoRs4dHR8j6S82Iy6Nul+sqyb5rOZ9ct0j4lCSEv0363sddsfQFFO2G1EvJZ8Os48i7BkOzjo927RyhEXGJzwlL25fAWjZc7ZcQQgghpMBwQEIIIYSQgsOQTZZUnD5eKbe893elLEMyEmndrkNO1dotGQ/oUzvt0IUglHr5U2EHG/tzp2m4lmvIsIFccl1jpe4uE+mDYlpcTpvLEM05F//Ytn7yeJmuGG1u7PjA1JSz2xeEJ975bwFdSEq35LwOmUpqnvqW0+YyHT0hwnNlVWooMXpY7adymj16WD3eN+AodX+Zzm4KEaVTzsv6D0Y8lEqPFX3DJVJTLSEaQaROpg3LvuMsRKMLO+jOJ/u2DFfKkI0M0bhE2jLE23d5yuDytN8TmbprCYOY6q9LYdaFUJzY1Ge1XTz3ibh9yEgbAiqGNOBenvbLAQkhhBBSDORB1FrKAxKGbAghhBBScDhDQgghhBQDBkp6hiNXOCBJUfn/TFTKctqs5S+1SllqRpxqRHTIeKsuVm2xA9ekghrx9vivE81Hwh3X76RBl1qqizVLdHF6mbr55ot3KWVpBa9HWLdr7MPbK5J8PRELW5Zqt0PGsuW91lpk6+zBTcj0cpm2K7dHGus6PRdgtW43ompbySUXZNuZrerLUmm/saZDiKXSfssGqlb2Os2IvJ42TdehFbxuf4ku7daikdGkDbsS6vU8weTnQDpl2kjElTrr33/7+XT6mFw1IzpNh0Sn8SgJzUgREA6HsWjRIrz++usIBAKYPXs2Zs+ebXvMBx98gHnz5uGNN95QXn/ppZfwy1/+EnV1dZg8eTLuuece9O/fv5OzWGHIhhBCCCkCDKPdKqbL/xzOsCxduhQbN27EqlWrcNddd+Hhhx/Ga6+91un+W7ZswS233KKsiQQAGzZswIIFCzBnzhz89re/xeHDhzF//nxHdeGAhBBCCOmFtLa2Ys2aNViwYAFqampw/vnn49prr8Xq1as73P83v/kNZs2ahQEDBli2PfXUU7joooswffp0jBw5EkuXLsU777yD3bt3d3CmjuGAhBBCCCkG0g7YOf3L/nKbN29GLBbD+PHtthYTJ07E+vXrkegghPXnP/8ZS5YswXe+8x3LtvXr12PSpEmZ8tChQzFs2DCsX78+6/r0ag1J+VdGI9qSjME2/3+1mr1V8q0Z0aHzhzDEsuVO5u2kD0muPiI6nGpEdMg4vYzLO/UZ6Wmcxs4ty7gLpGbGU16plKUuxFvRL/O3zu9Gt92s+QD0GhGJtH6PNrRrVNI+JN6qanh9qf6eo2ZE1xd1GguJxcdEowXTaUakPknqf3TXS8SSywLEE/7U9X1we9s/G6z6p87PJ/uVrIuubbSeLRotlA6dVsqpz0kpa0oMw0Bzc7Pyms/ng8+nLmtRV1eH6upq5fWBAwciHA6jsbHRov945JFHAADPPfec5Zr79+/H4MHq0hADBgzAF198kXW9e/WAhBBCCCkWxFJDXTwJsHPnTlx88cXKy3PmzMHcuXOV19ra2iyDlHQ5EhE/cjWEQqEOz+XkPByQEEIIIUcQxx13HGpr1Vl/OVgAAL/fbxkwpMuBQMCyvx2dnSsYDHZyhBUOSEoEb0VfpSxX2HW6Kqkddlbyaet4s/25ZdpZQ64hG2mvLe2v335lkVKWIRpdiESGfCQWu23NVHB69V7LlHcnx6dTNTPbRTqltKYvq+xne30ZZpH7x1raz+c0VVKGWORqwBJ5Pt/AoWpdG9Q0Yt/go9v/TqWuulwuS5u0X1+dHnZq7e50BVqnIRp5futqviLsoUkzlmhTzqMh5bNBphHLEI65fvIzxXlarVp3p/dGt9qv4xBPsa7+mwenVpfLhcrKSu2uQ4YMQUNDA2KxGLyplbHr6uoQCARQVVWlOdp6rvp6dfXu+vp6DBo0qJMjrBTpHSGEEEJIdzJq1Ch4vV6sW7cu81ptbS1Gjx4Nt8MB29ixY5VZmb1792Lv3r0YO3Zs1ufggIQQQgjphQSDQUyfPh0LFy7Ehg0bsHbtWqxcuRJXXXUVgORsSSgU0pwlyRVXXIEXX3wRa9aswebNm3Hbbbfh7LPPxvDhw7OuDwckhBBCSBGQsylaF4zR5s+fj5qaGlx99dVYtGgR5s6diwsuuAAAMHnyZLzyyitZnWf8+PG4++678atf/QpXXHEF+vbti8WLFzuqS6/WkLS+/w80HzwMAKicMknZ5vKqMeqmN/5XKfuPEqM+EfuVLnaRenWZc13cXx4fazlku7/OLt2JpsQu7TdtHW8kYu3aEU0aai56lo6wakZ+qpR1VvBSg2LIZcwd2LoDHWhOOlky3khpblxuj6I98AQqlP1jrYdtr2fRgIj9demKUoNih8X6XfRLqfmwaEz6C2t30dYWzYi0gjfvn/7b7Ur+AxDe97nt9bV6Jdl3NamiOut4b1CN21t1Eerx8Uh2vz7br9dFu3TT/83nMBJqX5f6MbM1fa5W7FLzoUv7lffCcQq2gyUTioYCrGUTDAaxZMkSLFmyxLJty5YtHR4zc+ZMzJw5M+vXs6VXD0gIIYSQYiHtbZbbSfJSlYLAkA0hhBBCCg4HJIQQQggpOAzZpGh+5wPb7f2mn6GUG1/4m6PzS0ttnV9Drug0JeZ4qhP7bFfqbyMWzdpPRGc5LZHeCC6PGndf+zt1Bclzpt2ZVT3aL2/vV6BbMt6p1X46lm7EkuN/d1kA7ni7zkSnGZGxeN3+Tpdt9/Uz+QR41GOl9boOqTmRviCybX2Dh4ntQn+TMM0/p46NNhxAtC3Zvx1bwYu+KHUIsn6yLybEEg2yL8TaVLtuS/2iuXnwOPXOyOyf+r/LWwa3t/PnT/Zls95Kaqt0ddH5BVk0J8JHRKc5keTb5r8gGAASOcZcco75FA4OSAghhJBiIB+i1tIdjzBkQwghhJDCwxmSLHEaopF0d4hGhwzhmKeaPRr7aPNUZjrskMu15VSstAGX08aP/PrflLIurVd3ft3UrC59UU4FO10VNB5uQTyUfWqx03RLibdctYB2iantSKOaeusEX7W6uqcM8ejShg0ZwhD3yhzycadW+zWi4UyfktP0Fqt2gTYFXdqRR0VarkgTliEaGaaQ6MIITtN6rds7DjemX5ehVmtas1o2h1lkuMtyLXFvE3IlYY3Vuy6EI3G6erDTzwHS83BAQgghhBQDeVjtt4QlJAzZEEIIIaTwcIaEEEIIKQry4YxWunBA0kVkbNxpemSuOE09lZj31y3B3hGuMj/cqRCvU2t4GRuWj98dK85Xyjde+VtH5+9safpscWyJ7TDNVtp3S+T5vBX9lHK06aC6XaMRiQmreGuqa+f1L+s7UH1BWscfUpcb1z0XvoFD1WuLeyX3V3QArvYU1nSdnaaCWjQTGv2U9V7bn1/qJnQ6CafoUtKtVvXJ62XuuantOsJWwyJiCUbcmbbKci90GhCNbb/Wel5QEpqRROpfrucoURiyIYQQQkjB4YCEEEIIIQWHIRtCCCGkCMjH4nqlrEDhgKSLWPwWhhyt7iCCzeEvditlb3kf2/PHWptst1ssnoWmxILo5WZ/AV2cXInNpv5WvCCEP4FTTcn3f/UvSvmn1/3Jdn+t10SOsWKL1b0Fe52BvBfpWLgnqDtv6vhAhVKOtTQqZen9ET2sakp0/g0Sc6xeakakRkQi99f5kEhsNSMQ7yWe0hCYNDhO+4LFjlzTV3VeFhKnba/TIzm1N+9U75SlV46dxkbXVo7vhbiWzvrdon3SaEac3ouiwDB6tXU8QzaEEEIIKTgckBBCCCGk4DBkQwghhBQDvXxxPQ5I8kR43+e22/1Dv6Tuv/dT2/2dakyc+pDYYaspSXkRKMuYC38Cb7BSKcvY8w0PnqmU/+9Nf3ZUv5w1IrmudyLI1hMmntKeeIJ94HX5Mq9LL4x4m3pvpY5Ap+uQ+PoNUspy7ZqyqgHt2xr2K9tkW3n7qZqRSP1e9VrCZ0QSOaieX7e+SYd4vHB5knoCp31Bd36dZsSyFo9uPRb5LIl77S5T763dOlIdnV9HZv/0/4UHTj6fBVlX+VxYPF40Wged54oUuzl9bosRI2HAyFlDkp+6FAKGbAghhBBScDggIYQQQkjBYcimh9CFaCS6tN+eRJl2Tv1tJOKZNDw5LS2nbq9+6CylLEM0umXE802u55dLzMsQjW7aPhENIREJm7a32O6vQ17PN2CIUo42qCEaGcKJNjW0n0uELLx9+ytlGaKxpLuLafbIvs+UstP31iHxWNYpnbqQkCXVVIZkNHboluuJ9y9DNDKsoLOy16fC6uojzm8OtcJZGrHFCl6mx4vQrXwuLNbxMhwm3psMycj9dW0pyUvf6wmoISGEEEJIQUnQh4QQQgghpKBwhoQQQggpBvKR9lvCcEBSIMoq+ynlqFgivrvRpft1RmbJcFP6oIzdXvZ/TlfKq27+q3oOGdcXU4ydWa+ncZreJ+PkXX3vaYyEvQ5BktYVpNvOiEVtY/fy/Xor+inlaJNqFe/tU61uF5oRSUz2NVPsv6xapAgf2KeULWm9Yno5vE/VSll0Bi6hE9Bg1g1k+p7bnWkja1qtRjOiWRbAJdZuNyA1HhpdgyZNV6dz0OkidFbzkkzfS/3frP3K5ni7FGGnz6HF+l3qbTRpvjq9S8loREincEBCCCGEFAMGqCEhhBBCCCkknCEhhBBCigDDyH2Co4QnSDggKRRSM+JUUyJ1FhKdlXxXvTiMmHVSbcYDX1HKa370nv05NB4S8TwvGy6t7GNtzXk9f7Zk2s6kgQCssW9veZVSjrU0KuWyPqo3SPTQAdvrWuzfhbeIGakZ8Q8appSl3kdaweeqM7BoQEy6g8zfJv2Szp7crbMvl94XlgoJDYfsmxqNSK66Bp1mxKK76MROvaPnNpvrqdukBsT+nG6vqtdJxNS+IM/nLguo+0dD6vW6sswAKSkYsiGEEEJIweEMCSGEEFIM5MUYLT9VKQRFNSAJh8NYtGgRXn/9dQQCAcyePRuzZ8/ucN+3334bv/jFL/Dpp5/imGOOwb//+7/j3HPP7eEa5w9dCEe3v8QS0hFT7fFIW5Y165hpP/0yYkZyyvS5H/7Ndt98Wzo7TdvNNUST7Wq+abwVfTs+TyC1wq9YcdUSghFpvRLLasAe+8fYSVqw/6jh6gvCDjx2QD1WTpvrPgt1dbWdhk+nmZvszy22/eL8Cc12y/UtfdE+ZNLTqaYyRGO1kne4+rEmbdqc1qwL88rnUn7G6FZS1i7B4HBl5ZIkHz4kJTwgKaqQzdKlS7Fx40asWrUKd911Fx5++GG89tprlv02b96MOXPm4Bvf+AZeeOEFzJo1C7fccgs2b95cgFoTQgghJFeKZoaktbUVa9aswYoVK1BTU4Oamhps27YNq1evxtSpU5V9X3rpJZxxxhm46qqrAAAjRozAm2++iVdffRUjR44sRPUJIYQQkgNFMyDZvHkzYrEYxo8fn3lt4sSJWL58ORKJBNym6bkZM2YgGrVOHzY1Fc8KuYQQQogz8pD3W8Ixm6IZkNTV1aG6uho+ny/z2sCBAxEOh9HY2Ij+/dvj7CeccIJy7LZt2/Duu+9i1qxZjq4ZCPgRDNpbSReMuL3Gw6uttyad0cH7vnxJuxW8x5XsMmt/+k+EQsk0vvI+alqtoUsp1mhKkO9YsLALd8mySJWEtAMXsW1P/4G2l5Maj0w1Uh80lQMGwRuKZF6PtRxS9vNWBNUDNe1R1k+1e5cfaNFD9UrZ41dj/RY7eBORg+qxfr/4yJDlnO+dSGM16Q4CgeR985e5M2msrqCm73lEP7doVOztyi3Ivivfr9O+7TCNV6Ytaz/CU9cLpJ73gL9MqYNL6D7s7N1l6rB8jgxpey/ujcRyrzS2/o7b3un2Tgj05HcERa3FQVtbmzIYAZApRyKRjg4BABw8eBBz587FhAkTHItaf7ZsvvOKEgDAQ8sXFLoKJcsvHvxhoatQ0ixbsbDQVShZ2HbFjWEYFq+fLpwkP5UpAEUzIPH7/ZaBR7ocCAQ6OgT19fX47ne/C8Mw8NBDDylhnWy4de5iNDYc7lqFexFyhuRrwy7Gzd+7LzNDIim6GRJBzjMkwT625+9shiQQ9GPZioX4wS0/R8hmhsTpLzmnMyQS+xmSfZ1u65B83zsxQ7Ls0R9j7nULEWpL9j3LL3zLDIn4iMvVTKvoZkg0mGZIlq1YqLQd4HSGRCwcqJsh0WTDaT8nJAWcIeFArmcomgHJkCFD0NDQgFgsBq83Wa26ujoEAgFUVVVZ9t+3b19G1Prkk08qIZ1sCYXCaGtz5iTZG0mn95oJhcLKB5sZXXpgvtOAneIWb0c3IImH1ffpdakzeZKYpk+FQhFlQBJtc7bCqyQeEDOI0k1VU59EqPMZSN2xknzfO5fHGnoMtbU/t+n03zSW1XbF8bm6e+a6+m6uzqtOByTyeua2A6ztZzcgsayaLZpSuvLKc0ucukU7bXun20nhKZoByahRo+D1erFu3TpMmjQJAFBbW4vRo0dbZj5aW1tx7bXXwu1248knn8SgQYM6OuURjbdc/ZUea82foHfWL89Uyqtv+Z/M38GgH+c/NR1GLNrpB4r0I5BTkDo/Ae2HtMDpB5tTO3NJrm0dD7ciHjJ/Kdj/kvQNOEopG0LQHWlQ7dtl+/kGDLE9v/n+xBrV2RSd74XE8oUsB3uG/AK098FQ+ko8VRePNzPQsA5AutdeXPclpttuude6AYdLPDua88v2T1/PZfq/eaBgaT9xvHm7x6dqm6TPiFvOmMi+YjgbvElyHWCUxADEgLS+6do5SpSi8SEJBoOYPn06Fi5ciA0bNmDt2rVYuXJlZhakrq4OoVBybYNHH30Un376KZYsWZLZVldXxywbQgghpEQpmhkSAJg/fz4WLlyIq6++GpWVlZg7dy4uuOACAMDkyZOxePFizJw5E3/84x8RCoVw2WWXKcfPmDED999/fyGqTgghhOSGgTws95uXmhSEohqQBINBLFmyJDPzYWbLli2Zvztyb+1tyLCB0xCOefr12w9MULatuvmvOdXNaQhFNxXr1LJaVx/LirQO6+v0ehK7cBcA+IRINVy3RynrprrLqtXjpVW8DAGZV+zVhdMk8t5pp+0Flv2z0UjEY5l6FtsKsPL9SH2SXPFWl56vez8WK3xDE7YQWRy69jNvlyEaGcIxEmIZgW6+F9SIHHkU1YCEEEII6bXkxYekdKdIikZDQgghhJDeC2dICCGEkGLAyIN1fAnPkHBAcoSg05RIZt53WuZvqRmRsWGzL4fbn7uNsm4Zcom7TDXGk8uUO9WY6DQlErm/0+t5+yY9csoCHfuXlPUdoJQjjXUd7pdGxsZlWm/kgGpm5h80TGz/wvZ8dts6SytNI1OqdSncUjMit5vvfbrvmVNXdRoViS4t2almQ/Zd+X4Sefdl0Tw7LrX90n01Y/tu0t90hF3KvtTHJMR7LbR+R1Jov6NSIRwOY9GiRXj99dcRCAQwe/ZszJ49u8N9P/roI9x1113YunUrTjzxRCxatAinndb+XTJp0iRLtuuHH36IioqKrOrCAQkhhBBSDBg9v5bN0qVLsXHjRqxatQp79uzBvHnzMGzYMEydOlXZr7W1Fddffz2mTZuG+++/H//93/+NG264AX/6059QXl6Offv2oampCWvXrlXc1cvLy7OuCwckhBBCSC+ktbUVa9aswYoVK1BTU4Oamhps27YNq1evtgxIXnnlFfj9ftx2221wuVxYsGAB/vznP+O1117DzJkzsWPHDgwaNAjDhw/vcn0oaiWEEEKKgbSGJJd/DqZINm/ejFgshvHjx2demzhxItavX28JN65fvx4TJ07MhAldLhcmTJiAdevWAQC2b9+O4447Lqe3zxmSIxSpKZn58zOU8jM/eLfTY6XfgJmE21nMviNkrFn7+ORoD+7yCI2IQ02I9AXRaTw8ATVemtZ0eFLLmHsrq1HmNa1lc+iA7fm09dFpRg6q1vJO1l+xxNml5sKy9om9F4Q2bi/PHw1l/k54jcw1O9OO6PRAOjtzp8cn4j2rQ5CaEaceOpbzyWfJZpkHi17FoRV8d2s2nJ6/KH1LDMDIMWSTHJcYaG5uVl73+Xzw+VQdW11dHaqrq5XXBw4ciHA4jMbGRmWNuLq6Opx44onK8QMGDMC2bdsAADt27EBbWxuuvPJK7Ny5E6NGjcIdd9zhaJDCGRJCCCHkCGLnzp2YOHGi8u/RRx+17NfW1mYZpKTLkUgkq33T+3388cc4dOgQvv/97+ORRx5BIBDAd77zHcvAyA7OkBBCCCFHEMcddxxqa2uV1+RgAgD8fr9l4JEum4Wpdvum93v88ccRjUYzGTUPPPAApkyZgrfeegvTpk3Lqt4ckBBCCCHFQJ58SFwuFyorK7W7DhkyBA0NDYjFYvB6k8OBuro6BAIBVFVVWfatr1dXA6+vr8fgwYMBWENCfr8fxxxzDPbtU0PKdnBAcoQiNSPP/fBvStkbbO+ssbbsp9TSuMr8cKfCy9J7ortxC02Iy6eO5GUsWPqWSCyeLULHIDUjZZX9bM8XbW603R5rbkC0Lfs281UPVs9/+KBS9g85WilH6sUHgG59E5vYuSXOrtPraHxKLBoO0dayrkrdOqinU41KzhqXPKOrj7b9nF7P5OEC2GtGANWTyE5bVgoUpWZE0sPGaKNGjYLX68W6deswadIkAEBtbS1Gjx4Nt2ivsWPHYsWKFTBSAx7DMPDhhx/ie9/7HgzDwPnnn48bb7wRM2fOBJDM4Nm1axeOP/74rOtDDQkhhBDSCwkGg5g+fToWLlyIDRs2YO3atVi5ciWuuuoqAMnZklAoKSyfOnUqDh8+jPvuuw/bt2/Hfffdh7a2Nlx00UVwuVw4++yzsWzZMrz33nvYtm0bbrvtNhx11FGYMmVK1vXhgIQQQgjppcyfPx81NTW4+uqrsWjRIsydOxcXXHABAGDy5Ml45ZVXAACVlZV49NFHUVtbi5kzZ2L9+vV47LHHMsZnt956Ky688EL86Ec/wmWXXYZYLIbHHnsMHo+n02tLGLI5QtCFaCTmMI05fANAsYoHrCnEAGBEw5lQjbSUluQ7pKObOtalH8qQiy7EInG6vw6ZxiuJNKhpu9IqPrzvc0fXs5u6dmrr7zQtWG63pLFmk0abSGSu6zTVNNdpet31nJ/PY1uW7adL2baeL3k/3b7kM2oYhhqmESEyj1911UyY0q5LnaIM0Ujystqvs92DwSCWLFmCJUuWWLZt2bJFKY8ZMwbPP/98h+fx+/24/fbbcfvttzurgAkOSAghhJBiIefF8Up3cT2GbAghhBBScDhDQgghhBQDBQjZFBMckJQoTjUjdujSfs1psZ6AVS+i04hYli3v5jRhXZxdakBkamWudtw6yvoPRjzUbjAUO3TQZm/AP/RLSjm899PcKuCSqbntugP53nWfbY7TegXyelLDomgcOtBv5Jrm6xSn17NuVzUe2vdvaT97zY4kEQun/p96IR5TUnvNab2APkU+F3LV35SEBoTkBEM2hBBCCCk4nCEhhBBCigBLFlQXz1GqcEBCCCGEFAN5cWrNT1UKAQckJcK0n+VPM+IUsw9J3IjY7NkxUjNiiVt3syW1TlMi4/g6TYluiXpPhboGhCsV5y8LJNd5iB7cj4iNdbxv4FClnLNmRCDtwc2fXzrNhdQ4ONKAdHQ+jTV9h7oDtzvzuk5X0N26A50PiERqbGR76az5dX2vU/1Tqh3cviA88fY696QdPDUgRAc1JIQQQggpOJwhIYQQQooBIx9pv6Ubs+GApEiRIZo/3NpzIZps8AT7wOvydbitI6t5M3KaWIZwLAh78VxTE/Mdwinr01+tX8vhDq8bi3dssS+t4CP1ezvcrydwHFJxGHLQpsXana+DKX+n1vGWNGXNarcS3fHOU8ZzC2Porpe2gnf7k30vEWlDPNKzq3PnC6f3uiQxDO3q3FmcJC9VKQQM2RBCCCGk4HBAQgghhJCCw5ANIYQQUgzkxTq+dEM2HJAUCf/vz05XysWmGZHE25oQ6yR11Ww1DzjXlOiQS6RLTYm8vkTWR8aepSbEcn0R44022Vu/Z64TS6X/Cuv4yIF9WR2fLZbUW1kPjU5COZdlOXt763Md+ji/TZqx5n11hDZN2S1t9LuYVttNOF3WoLNnI+FOpRubUqYBZ7qLQlu/HxEaEQ0GcjdGK2EJCUM2hBBCCCk8nCEhhBBCioG8OLWW7hQJZ0gIIYQQUnA4Q1IgpGbk5VvfK1BN8o/UaDjVlOiQmhEZN9ed31vRVym7hM+J1IQ4XcJe+oqkydY6Xkc+NSKAvW5Cp1nobm8I5b3ErbbsTn1TdMcXWqeg8zmR997tVb2AtB49iYTyHp3cv0K3Ta8gYXTot+MIzpAQQgghhHQdzpAQQgghxUA+NCQlnGbDAUkPcc5Pv6KUj6QQjY6eDuFo69NyyNH+uhVvff0HK+Vw3Z4Oz+MJdmwd7xSnIRmJk1RSXbhKN43vNNyVFaawg3Z14jxfP9fUV+1qwBore3nv8r2MgqSrKcL5wOm965a+RnoUDkgIIYSQIsBAAkaOa9nk7GNSQKghIYQQQkjB4QwJIYQQUgwkkAfr+LzUpCBwQNJNTLlP1Yy8dcf7BapJ8dHdmpLupqxPtVKWmhGdRsPlLYPb2/Vp2Vzty3PRjDiluzUd3X1+3fUc49Kk2Wo0Iz1tXZ/P9nOqv6FmpPfBkA0hhBBCCg5nSAghhJBioJdbx3NAQgghhBQFCSDHLJtSFpFwQJInpGbknQXUjGRLsWtKfP0GKeVIY53t/jLOn9YBuFL/N2LRHtcC2NGTXhOF1pRIDUeuni4S6VEjlyXQ3fdCa0a6k3x7wByRmhHDyD1tt4RnSKghIYQQQkjB4YCEEEIIIQWHIRtCCCGkGOjlq/1yQNJFJt9DzUh3UWhNSVnfAUpZpxnRkdYBGLGemZCUOgSJkYiLcuFi8T2tKUk6T7WjayuLh4zH/iNTalJ0Xw2lpBkptIbjiNSMCIw8aEhKeDzCkA0hhBBCCg8HJIQQQggpOAzZZMkp/3G6Uv7LT94rUE16H5YQTkVfdQeZty9SO2XqpQWxf/TQAUf1c4zbnddU21Ka9tdhG8JJ/21qv1zbrqfTcEv5XmlTqh0eTzoiHz4kpdvOnCEhhBBCSMHhDAkhhBBSDBjIg3V8XmpSEDhDQgghhJCCwxmSThh5q6oZ2fwzakaKhVjLoUJXITcSCSWe7jSdspR1CE5R2iL9t2i/7iTXtpVpwkfSvaImJP8YRgJGL17LhjMkhBBCCCk4nCEhhBBCioGEkfyXCyXsjMYBCSGEEFIEGDByDtnkvFpwAeGAJMVp81Ur+I2LqRkhPYNT+/QjSYdQali8N1z2UW9pJU8I6RxqSAghhBBScDhDQgghhBQDRh6cWks4ZFNUMyThcBh33HEHJk2ahMmTJ2PlypWd7vvRRx/hsssuw9ixY/GNb3wDGzdudHy9kXPGYfQdX8HoO76CjYvfV/4RUiiMVFpr+p8rZZXuEpbzpOeR98aIx2z/EeKE9Gq/Of1zmPabz+/dl156Ceeddx7Gjh2Lm266CQcPHnRUl6L6dFu6dCk2btyIVatW4a677sLDDz+M1157zbJfa2srrr/+ekyaNAnPPfccxo8fjxtuuAGtra0FqDUhhBBSmuTre3fDhg1YsGAB5syZg9/+9rc4fPgw5s+f76guRTMgaW1txZo1a7BgwQLU1NTg/PPPx7XXXovVq1db9n3llVfg9/tx22234YQTTsCCBQtQUVHRYSMSQgghxEo+v3efeuopXHTRRZg+fTpGjhyJpUuX4p133sHu3buzrk/RaEg2b96MWCyG8ePHZ16bOHEili9fjkQiAbdpqnr9+vWYOHFiZhVXl8uFCRMmYN26dZg5c6b2Wum0qHJvIPNadf+qfL2VI5pAwA8A6FddhUAwXODalBZdbjuZyZGzk2Npwr7Xddh2XSfddkD3p9SOOHYoyryenM4xZEh/GIaB5uZm5XWfzwefz6e8ls/v3fXr1+O6667L7D906FAMGzYM69evx/Dhw7Oqe9EMSOrq6lBdXa002MCBAxEOh9HY2Ij+/fsr+5544onK8QMGDMC2bduyulYilUb53Zqp7S+umN71yvdCfrbM2VQcaYdtlxtsv67DtsuNRDfa5VdVVeH7N387L+fasGEDLr74YuW1OXPmYO7cucpr+fze3b9/PwYPHmzZ/sUXX2Rd76IZkLS1tVlGb+lyJBLJal+5X2d4vV6MHj0abrc7M9ojhBBCOsIwDCQSCXi93feVedxxx+XtXKeccgouvPBC5TX5nQnk93s3FArl9L0MFNGAxO/3WyqeLgcCgaz2lft1htvt7vDmEEIIIaVOR+GZjsjn925n24PBYNb1LhpR65AhQ9DQ0IBYrD1Vrq6uDoFAAFVVVZZ96+vrldfq6+st00WEEEII6Zh8fu92tn3QoEFZ16doBiSjRo2C1+vFunXrMq/V1tZmQitmxo4di7///e8ZgZFhGPjwww8xduzYnqwyIYQQUrLk83t37NixqK2tzey/d+9e7N2719H3ctEMSILBIKZPn46FCxdiw4YNWLt2LVauXImrrroKQHLUFgqFAABTp07F4cOHcd9992H79u2477770NbWhosuuqiQb4EQQggpGfL5vXvFFVfgxRdfxJo1a7B582bcdtttOPvss7POsAEAGEVEa2urcdtttxnjxo0zJk+ebDzxxBOZbSeffLLx7LPPZsrr1683pk+fbowePdq49NJLjU2bNhWgxoQQQkjpks/v3WeffdaYMmWKMW7cOOOmm24yDh486KguLsMoYeN7QgghhBwRFE3IhhBCCCG9Fw5ICCGEEFJwOCAhhBBCSME5Ygck+VxSubfhpO3efvttXHLJJRg/fjymTZuGN954owdrWnw4abs0n332GcaPH4/33nuvB2pY3Dhpvy1btuCKK67AmDFjMG3aNPztb3/rwZoWH07a7k9/+hMuuugijB8/HldccQU2bdrUgzUtXiKRCC6++GLbZ5HfF91IDuLcoubuu+82pk2bZmzcuNF4/fXXjfHjxxuvvvqqZb+WlhbjrLPOMu6//35j+/btxj333GN89atfNVpaWgpQ6+Ig27b75z//adTU1BirVq0yPvnkE+Opp54yampqjH/+858FqHVxkG3bmbnmmmuMk08+2fjb3/7WQ7UsXrJtv8OHDxtf/epXjR//+MfGJ598Yjz44IPGxIkTjfr6+gLUujjItu22bt1qjB492nj++eeNXbt2GYsWLTLOOusso7W1tQC1Lh5CoZBx00032T6L/L7oXo7IAUlLS4sxevRopVP96le/Mr797W9b9l2zZo3xta99zUgkEoZhGEYikTDOP/98JdWpN+Gk7X72s58Z11xzjfLa7NmzjZ///OfdXs9ixEnbpXnxxReNWbNmcUBiOGu/VatWGeedd54Ri8Uyr82cOdN4++23e6SuxYaTtnviiSeMGTNmZMpNTU3GySefbGzYsKFH6lqMbNu2zfjXf/1XY9q0abbPIr8vupcjMmTT2ZLK69evt6zWaLekcm/ESdvNmDED//Ef/2E5R1NTU7fXsxhx0nYA0NDQgJ/97Ge4++67e7KaRYuT9nv//fdx7rnnwuNpX6r92WefxZQpU3qsvsWEk7br168ftm/fjtraWiQSCTz33HOorKzEl770pZ6udtHw/vvv4/TTT8dvf/tb2/34fdG9FM3ievkkn0sq9zactN0JJ5ygHLtt2za8++67mDVrVo/Vt5hw0nYAcP/992PGjBk46aSTerqqRYmT9tu9ezfGjBmDn/zkJ3jzzTdx9NFHY968eZg4cWIhql5wnLTd17/+dbz55pv45je/CY/HA7fbjUcffRR9+/YtRNWLgm9+85tZ7cfvi+7liJwhyeeSyr0NJ21n5uDBg5g7dy4mTJiAc889t1vrWKw4abv/+Z//QW1tLW688cYeq1+x46T9Wltb8dhjj2HQoEFYsWIFvvzlL+Oaa67B3r17e6y+xYSTtmtoaEBdXR3uvPNOPPPMM7jkkkswf/58HDhwoMfqW6rw+6J7OSIHJPlcUrm34aTt0tTX1+Pqq6+GYRh46KGHLIsy9RaybbtQKIQ777wTd911V6/tZx3hpO95PB6MGjUKN998M0499VTceuutOPbYY/Hiiy/2WH2LCSdt98ADD+Dkk0/Gt771LZx22mm45557EAwG8eyzz/ZYfUsVfl90L0fkN0c+l1TubThpOwDYt28fvvWtbyESieDJJ5+0hCV6E9m23YYNG7B7927cfPPNGD9+fCbuf9111+HOO+/s8XoXC0763qBBg3D88ccrrx177LG9dobESdtt2rQJI0eOzJTdbjdGjhyJPXv29Fh9SxV+X3QvR+SAJJ9LKvc2nLRda2srrr32Wrjdbjz11FMYMmRID9e2uMi27caMGYPXX38dL7zwQuYfANx777245ZZberjWxYOTvjdu3Dhs2bJFee3jjz/G0Ucf3RNVLTqctN3gwYOxY8cO5bWdO3fimGOO6YmqljT8vuhejsgBST6XVO5tOGm7Rx99FJ9++imWLFmS2VZXV9drs2yybbtAIIARI0Yo/4Dkr68BAwYU8i0UFCd9b9asWdiyZQuWLVuGXbt24cEHH8Tu3btxySWXFPItFAwnbXf55ZfjmWeewQsvvIBdu3bhgQcewJ49ezBjxoxCvoWihd8XPUhBk467kXwuqdzbyLbtLrzwQuPkk0+2/Js3b16Bal54nPQ7M/QhSeKk/T744ANjxowZxmmnnWZccsklxvvvv1+AGhcPTtrumWeeMaZOnWqMGzfOuOKKK4yNGzcWoMbFiXwW+X3Rc7gMIzX3RAghhBBSII7IkA0hhBBCSgsOSAghhBBScDggIYQQQkjB4YCEEEIIIQWHAxJCCCGEFBwOSAghhBBScDggIYQQQkjB4YCEEEIIIQWHAxJCCCGEFBwOSAg5wrjyyitx3333OTqmoaEBZ555Jj777DPldcMw8MQTT+BrX/saxo4dixtvvNHxWkU/+MEPsHLlSkfHEEJ6H7SOJ+QIo7GxEV6vF5WVlVkfs3jxYrS0tODee+9VXl+yZAneeOMN3HfffQgGg7jppptw4YUX4o477sj63Fu3bsW3v/1tvPHGG+jTp0/WxxFCehecISHkCKNfv36OBiNtbW343e9+h0svvVR5ff369XjiiSfwi1/8Al/+8pdx2mmn4bLLLsM777zjqD4nn3wyhg8fjt///veOjiOE9C44ICGkBHnttdcwbdo0jBkzBqeffjq+853voLW1FYA1ZHPllVfi3nvvxdKlS/GVr3wFZ511FpYtW5bZ/s4778Dn82HcuHHKNR5//HGceeaZqKmpybw2cOBANDY2Oq7vOeecg5dfftnxcYSQ3gMHJISUGPv378ePfvQjfOMb38Arr7yCJ598Eueffz7soq/PP/88ysvL8cwzz+DWW2/Fr371K/z1r38FAHzwwQfKoAMAIpEI3nnnHZx33nnK6+Fw2NHsS5oxY8Zgw4YNiEQijo8lhPQOvIWuACHEGXV1dYjFYjj//PNx9NFHAwBOOeUU22NOOeUUzJkzBwBw7LHH4qmnnsK7776Ls846C3v27MHgwYOV/Tdt2oRQKIQlS5bggQceyLwejUZx+umnAwDeffdd/POf/8Ts2bO1dR48eDCi0Sjq6uoydSaEEDMckBBSYowcORJnnnkmpk2bhsmTJ2Py5Mm48MIL0bdv306PkQOWQYMG4cCBAwCSsx5+v1/Z/sknn6C8vBwvvPCC8vr111+PCRMmAADOPPNMnHnmmVnVORAIAABCoVBW+xNCeh8M2RBSYng8HjzxxBNYsWIFTjzxRPz617/G1KlTsXv37k6P8XrV3x4ulysT4unXrx8OHz6sbG9ubkZ1dTVGjBiR+ef1erFr1y5ceOGFAIDvfe972LJlCwDguuuuw4MPPohZs2bh3HPPxdatW5XzHTp0CABQXV2d25snhByxcEBCSAnicrkwceJE3HzzzXjhhRdQVlaGtWvXdulcp556KrZv3668Vl1djaamJkWXsnz5ckyZMgUnnngiAGDnzp04/vjjAQDbtm3DsGHD8Jvf/AZXXnkl3njjDeV8W7duxVFHHYX+/ft3qY6EkCMfDkgIKTHWr1+P5cuX4x//+Af27NmD119/HQcPHswMDpwyefJkbN++PTOLAQBnnHEGwuEwHnvsMezevRuPPPII3nrrLSxcuBBAcgbF5/OhrKwMzc3NcLlcuOyyywAAsVgMVVVVyjVqa2tx1llnde0NE0J6BRyQEFJiVFZW4n//939x/fXX48ILL8Qvf/lL3H777ZgyZUqXznfKKafg1FNPxauvvpp5beDAgbj//vvx3//937j44ouxfv16PP300xg6dCgAYPv27TjppJMAJGc/Ro8enTl269atmVkUIKlRWbt2LS6//PIu1Y8Q0jugUyshBG+//TaWLl2Kl156CW63/nfKM888g4MHD+J73/sefvvb36K+vh433XQTAGD69Ol44oknMnqRp59+GmvXrqV9PCHEFs6QEEJw9tln4/LLL8e+ffuy2n/r1q2ZGZJt27ZlsnhisRgOHz6siFfLysrw4x//OP+VJoQcUXCGhBBCCCEFhzMkhBBCCCk4HJAQQgghpOBwQEIIIYSQgsMBCSGEEEIKDgckhBBCCCk4HJAQQgghpOBwQEIIIYSQgsMBCSGEEEIKDgckhBBCCCk4HJAQQgghpOBwQEIIIYSQgvP/A3OChzLRrpvrAAAAAElFTkSuQmCC"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "theta_intv, phi_intv, angle_vector = make_angle_vector(options['n_theta_bins'],\n",
    "                                                       options['phi_symmetry'],\n",
    "                                                       options['c_azimuth'])\n",
    "\n",
    "\n",
    "path = get_savepath('default', options.project_name)\n",
    "sprs = load_npz(os.path.join(path, SC_fig6[2].name + 'frontRT.npz'))\n",
    "\n",
    "wl_to_plot = 1100e-9\n",
    "\n",
    "wl_index = np.argmin(np.abs(wavelengths-wl_to_plot))\n",
    "\n",
    "full = sprs[wl_index].todense()\n",
    "\n",
    "summat = theta_summary(full, angle_vector, options['n_theta_bins'], 'front')\n",
    "\n",
    "summat_r = summat[:options['n_theta_bins'], :]\n",
    "\n",
    "summat_r = summat_r.rename({r'$\\theta_{in}$': r'$\\sin(\\theta_{in})$',\n",
    "                            r'$\\theta_{out}$': r'$\\sin(\\theta_{out})$'})\n",
    "\n",
    "summat_r = summat_r.assign_coords({r'$\\sin(\\theta_{in})$':\n",
    "                                       np.sin(summat_r.coords[r'$\\sin(\\theta_{in})$']).data,\n",
    "                                    r'$\\sin(\\theta_{out})$':\n",
    "                                        np.sin(summat_r.coords[r'$\\sin(\\theta_{out})$']).data})\n",
    "\n",
    "\n",
    "palhf = sns.cubehelix_palette(256, start=.5, rot=-.9)\n",
    "palhf.reverse()\n",
    "seamap = mpl.colors.ListedColormap(palhf)\n",
    "\n",
    "fig = plt.figure()\n",
    "ax = plt.subplot(111)\n",
    "ax = summat_r.plot.imshow(ax=ax, cmap=seamap, vmax=0.3)\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2024-09-21T16:49:27.171822Z",
     "start_time": "2024-09-21T16:49:26.831556Z"
    }
   }
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}