{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "05a0b4f5",
   "metadata": {},
   "source": [
    "# Section 08 - Performance Analysis - A - 3X Higher EFPA uncertainty"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "2fd5ec76",
   "metadata": {},
   "outputs": [],
   "source": [
    "from AMAT.planet import Planet\n",
    "from AMAT.vehicle import Vehicle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e12da72e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "a7899da6",
   "metadata": {},
   "outputs": [],
   "source": [
    "planet = Planet('URANUS')\n",
    "planet.loadAtmosphereModel('../../../atmdata/Uranus/uranus-gram-avg.dat', 0 , 1 ,2, 3, heightInKmFlag=True)\n",
    "planet.h_skip = 1000.0E3\n",
    "planet.h_low  = 120e3\n",
    "planet.h_trap = 100e3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "6aabba09",
   "metadata": {},
   "outputs": [],
   "source": [
    "vehicle=Vehicle('Titania', 3200.0, 146 , 0.24, np.pi*4.5**2.0, 0.0, 1.125, planet)\n",
    "vehicle.setInitialState(1000.0,-15.22,75.55,29.2877,88.687,-11.7 ,0.0,0.0)\n",
    "vehicle.setSolverParams(1E-6)\n",
    "# Set the guidance parameters described in the paper.\n",
    "# See the function description for parameter details.\n",
    "\n",
    "# Set max roll rate constraint to 30 deg/s\n",
    "vehicle.setMaxRollRate(30.0)\n",
    "\n",
    "# Set Ghdot = 83\n",
    "# Set Gq = 9.0\n",
    "# Set v_switch_kms = 16.0 :: this parameter is not really used, and should just be set to low value\n",
    "# Set low_Alt_km = 120\n",
    "# Set numPoints_lowAlt = 101\n",
    "# Set hdot_threshold = -500 m/s\n",
    "vehicle.setEquilibriumGlideParams(83.0, 9.0, 16.0, 120.0, 101, -500.0)\n",
    "\n",
    "# Set target orbit parameters\n",
    "# periapsis = 4000.0 km\n",
    "# apoapsis = 550,000 km :: set slightly above target (500e3) to account for bias in targeting algorithm\n",
    "# apoapsis tolerance = 10 km\n",
    "vehicle.setTargetOrbitParams(4000.0, 550.0E3, 10.0E3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "016c64d4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set path to atmfiles with randomly perturbed atmosphere files.\n",
    "atmfiles = ['../../../atmdata/Uranus/perturbed/G-01.txt',\n",
    "            '../../../atmdata/Uranus/perturbed/G-02.txt',\n",
    "            '../../../atmdata/Uranus/perturbed/G-03.txt',\n",
    "            '../../../atmdata/Uranus/perturbed/G-04.txt',\n",
    "            '../../../atmdata/Uranus/perturbed/G-05.txt']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "bb531abc",
   "metadata": {},
   "outputs": [],
   "source": [
    "vehicle.setupMonteCarloSimulation(1201, 200, atmfiles, 0, 1, 2, 3, 4, True, \\\n",
    "                                 -11.70, 0.30, 0.24, 0.013, 0.5, 0.1, 2400.0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "75cd9087",
   "metadata": {},
   "source": [
    "## Small run N = 200"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "dc11080e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RUN #: 1, SAMPLE #: 34, EFPA: -11.45, SIGMA: -0.29, LD: 0.23, APO : 506673.46\n",
      "RUN #: 2, SAMPLE #: 71, EFPA: -11.59, SIGMA: 0.21, LD: 0.25, APO : 556624.79\n",
      "RUN #: 3, SAMPLE #: 176, EFPA: -12.08, SIGMA: 0.82, LD: 0.23, APO : 187112.93\n",
      "RUN #: 4, SAMPLE #: 175, EFPA: -11.89, SIGMA: 0.60, LD: 0.25, APO : 569524.02\n",
      "RUN #: 5, SAMPLE #: 77, EFPA: -11.50, SIGMA: 0.66, LD: 0.25, APO : 553550.53\n",
      "RUN #: 6, SAMPLE #: 105, EFPA: -11.78, SIGMA: 0.18, LD: 0.25, APO : 547685.80\n",
      "RUN #: 7, SAMPLE #: 104, EFPA: -11.58, SIGMA: -1.88, LD: 0.25, APO : 517967.97\n",
      "RUN #: 8, SAMPLE #: 123, EFPA: -11.89, SIGMA: -0.90, LD: 0.22, APO : 595645.42\n",
      "RUN #: 9, SAMPLE #: 7, EFPA: -11.93, SIGMA: -1.39, LD: 0.24, APO : 521503.83\n",
      "RUN #: 10, SAMPLE #: 12, EFPA: -12.17, SIGMA: -1.06, LD: 0.24, APO : 96651.14\n",
      "RUN #: 11, SAMPLE #: 88, EFPA: -12.12, SIGMA: -0.82, LD: 0.25, APO : 323986.00\n",
      "RUN #: 12, SAMPLE #: 162, EFPA: -11.48, SIGMA: -1.17, LD: 0.26, APO : 460122.79\n",
      "RUN #: 13, SAMPLE #: 127, EFPA: -11.54, SIGMA: -1.80, LD: 0.22, APO : 505367.37\n",
      "RUN #: 14, SAMPLE #: 181, EFPA: -11.51, SIGMA: 0.84, LD: 0.22, APO : 493673.51\n",
      "RUN #: 15, SAMPLE #: 5, EFPA: -11.36, SIGMA: -0.95, LD: 0.23, APO : 566881.26\n",
      "RUN #: 16, SAMPLE #: 48, EFPA: -11.76, SIGMA: -0.14, LD: 0.26, APO : 570096.60\n",
      "RUN #: 17, SAMPLE #: 25, EFPA: -11.74, SIGMA: -0.22, LD: 0.25, APO : 523592.41\n",
      "RUN #: 18, SAMPLE #: 96, EFPA: -11.38, SIGMA: -0.06, LD: 0.23, APO : 475309.84\n",
      "RUN #: 19, SAMPLE #: 172, EFPA: -11.70, SIGMA: 0.48, LD: 0.25, APO : 580760.70\n",
      "RUN #: 20, SAMPLE #: 1, EFPA: -11.72, SIGMA: -0.95, LD: 0.24, APO : 526449.26\n",
      "RUN #: 21, SAMPLE #: 162, EFPA: -12.40, SIGMA: -0.94, LD: 0.26, APO : 68892.80\n",
      "RUN #: 22, SAMPLE #: 30, EFPA: -11.97, SIGMA: -0.13, LD: 0.23, APO : 524454.64\n",
      "RUN #: 23, SAMPLE #: 117, EFPA: -11.54, SIGMA: 0.71, LD: 0.24, APO : 555666.99\n",
      "RUN #: 24, SAMPLE #: 3, EFPA: -11.87, SIGMA: 0.55, LD: 0.22, APO : 528042.58\n",
      "RUN #: 25, SAMPLE #: 105, EFPA: -11.41, SIGMA: -0.32, LD: 0.23, APO : 539394.10\n",
      "RUN #: 26, SAMPLE #: 162, EFPA: -11.43, SIGMA: -0.16, LD: 0.24, APO : 540115.78\n",
      "RUN #: 27, SAMPLE #: 62, EFPA: -11.72, SIGMA: 0.73, LD: 0.23, APO : 518484.73\n",
      "RUN #: 28, SAMPLE #: 165, EFPA: -11.39, SIGMA: 1.47, LD: 0.22, APO : 554028.22\n",
      "RUN #: 29, SAMPLE #: 54, EFPA: -11.64, SIGMA: 0.25, LD: 0.24, APO : 509392.68\n",
      "RUN #: 30, SAMPLE #: 24, EFPA: -11.83, SIGMA: -0.95, LD: 0.25, APO : 513312.77\n",
      "RUN #: 31, SAMPLE #: 187, EFPA: -12.30, SIGMA: 0.09, LD: 0.26, APO : 60522.60\n",
      "RUN #: 32, SAMPLE #: 19, EFPA: -11.94, SIGMA: 0.51, LD: 0.24, APO : 543214.54\n",
      "RUN #: 33, SAMPLE #: 126, EFPA: -11.88, SIGMA: 1.19, LD: 0.25, APO : 485612.84\n",
      "RUN #: 34, SAMPLE #: 145, EFPA: -11.69, SIGMA: -1.08, LD: 0.24, APO : 560316.43\n",
      "RUN #: 35, SAMPLE #: 189, EFPA: -11.61, SIGMA: -0.89, LD: 0.26, APO : 483568.68\n",
      "RUN #: 36, SAMPLE #: 61, EFPA: -11.54, SIGMA: 0.03, LD: 0.23, APO : 487032.59\n",
      "RUN #: 37, SAMPLE #: 198, EFPA: -11.53, SIGMA: -0.34, LD: 0.25, APO : 531104.99\n",
      "RUN #: 38, SAMPLE #: 22, EFPA: -11.84, SIGMA: -0.46, LD: 0.23, APO : 509258.99\n",
      "RUN #: 39, SAMPLE #: 188, EFPA: -10.93, SIGMA: 0.65, LD: 0.25, APO : -205176.79\n",
      "RUN #: 40, SAMPLE #: 156, EFPA: -11.22, SIGMA: -1.50, LD: 0.24, APO : 523678.71\n",
      "RUN #: 41, SAMPLE #: 178, EFPA: -11.49, SIGMA: -0.63, LD: 0.25, APO : 495353.57\n",
      "RUN #: 42, SAMPLE #: 96, EFPA: -12.05, SIGMA: -0.43, LD: 0.24, APO : 426406.27\n",
      "RUN #: 43, SAMPLE #: 43, EFPA: -11.53, SIGMA: -1.98, LD: 0.24, APO : 526804.77\n",
      "RUN #: 44, SAMPLE #: 99, EFPA: -11.69, SIGMA: -1.13, LD: 0.24, APO : 490100.12\n",
      "RUN #: 45, SAMPLE #: 117, EFPA: -11.91, SIGMA: 0.04, LD: 0.26, APO : 577475.03\n",
      "RUN #: 46, SAMPLE #: 159, EFPA: -11.34, SIGMA: -0.51, LD: 0.26, APO : 498341.98\n",
      "RUN #: 47, SAMPLE #: 174, EFPA: -12.11, SIGMA: -0.48, LD: 0.23, APO : 626376.51\n",
      "RUN #: 48, SAMPLE #: 97, EFPA: -11.71, SIGMA: -0.27, LD: 0.25, APO : 488054.59\n",
      "RUN #: 49, SAMPLE #: 82, EFPA: -12.30, SIGMA: 0.47, LD: 0.24, APO : 66963.08\n",
      "RUN #: 50, SAMPLE #: 151, EFPA: -11.44, SIGMA: 0.83, LD: 0.27, APO : 525777.52\n",
      "RUN #: 51, SAMPLE #: 7, EFPA: -11.87, SIGMA: -0.92, LD: 0.27, APO : 495743.58\n",
      "RUN #: 52, SAMPLE #: 56, EFPA: -11.92, SIGMA: 0.03, LD: 0.25, APO : 561528.54\n",
      "RUN #: 53, SAMPLE #: 80, EFPA: -11.34, SIGMA: 0.77, LD: 0.24, APO : 570107.95\n",
      "RUN #: 54, SAMPLE #: 143, EFPA: -12.24, SIGMA: -0.65, LD: 0.24, APO : 139057.25\n",
      "RUN #: 55, SAMPLE #: 35, EFPA: -11.48, SIGMA: -0.01, LD: 0.24, APO : 505004.92\n",
      "RUN #: 56, SAMPLE #: 159, EFPA: -11.98, SIGMA: -0.03, LD: 0.25, APO : 529227.96\n",
      "RUN #: 57, SAMPLE #: 99, EFPA: -11.27, SIGMA: 2.17, LD: 0.26, APO : 527247.87\n",
      "RUN #: 58, SAMPLE #: 189, EFPA: -12.05, SIGMA: 0.70, LD: 0.24, APO : 407725.38\n",
      "RUN #: 59, SAMPLE #: 68, EFPA: -12.05, SIGMA: 0.37, LD: 0.23, APO : 376170.65\n",
      "RUN #: 60, SAMPLE #: 84, EFPA: -12.39, SIGMA: -1.43, LD: 0.26, APO : 57998.27\n",
      "RUN #: 61, SAMPLE #: 185, EFPA: -11.64, SIGMA: 0.98, LD: 0.24, APO : 531870.29\n",
      "RUN #: 62, SAMPLE #: 49, EFPA: -11.83, SIGMA: 1.98, LD: 0.23, APO : 538968.12\n",
      "RUN #: 63, SAMPLE #: 137, EFPA: -11.92, SIGMA: 0.71, LD: 0.24, APO : 551332.65\n",
      "RUN #: 64, SAMPLE #: 60, EFPA: -11.52, SIGMA: 0.71, LD: 0.24, APO : 550290.89\n",
      "RUN #: 65, SAMPLE #: 12, EFPA: -11.96, SIGMA: 0.62, LD: 0.24, APO : 562556.88\n",
      "RUN #: 66, SAMPLE #: 159, EFPA: -11.84, SIGMA: 0.64, LD: 0.25, APO : 568030.72\n",
      "RUN #: 67, SAMPLE #: 163, EFPA: -11.22, SIGMA: 0.84, LD: 0.26, APO : 566145.91\n",
      "RUN #: 68, SAMPLE #: 132, EFPA: -11.46, SIGMA: 0.86, LD: 0.23, APO : 532194.47\n",
      "RUN #: 69, SAMPLE #: 4, EFPA: -12.34, SIGMA: 0.14, LD: 0.26, APO : 64686.18\n",
      "RUN #: 70, SAMPLE #: 167, EFPA: -11.99, SIGMA: 0.14, LD: 0.23, APO : 612798.55\n",
      "RUN #: 71, SAMPLE #: 136, EFPA: -11.77, SIGMA: -0.73, LD: 0.24, APO : 521548.01\n",
      "RUN #: 72, SAMPLE #: 64, EFPA: -11.99, SIGMA: 1.46, LD: 0.23, APO : 459115.22\n",
      "RUN #: 73, SAMPLE #: 72, EFPA: -11.08, SIGMA: 0.30, LD: 0.25, APO : -287422.20\n",
      "RUN #: 74, SAMPLE #: 114, EFPA: -12.25, SIGMA: 0.36, LD: 0.25, APO : 94272.19\n",
      "RUN #: 75, SAMPLE #: 141, EFPA: -12.03, SIGMA: -0.73, LD: 0.24, APO : 569616.70\n",
      "RUN #: 76, SAMPLE #: 27, EFPA: -11.55, SIGMA: 0.26, LD: 0.23, APO : 533095.62\n",
      "RUN #: 77, SAMPLE #: 130, EFPA: -11.69, SIGMA: 1.82, LD: 0.24, APO : 520846.97\n",
      "RUN #: 78, SAMPLE #: 36, EFPA: -11.75, SIGMA: -0.90, LD: 0.24, APO : 512972.74\n",
      "RUN #: 79, SAMPLE #: 127, EFPA: -11.63, SIGMA: -0.05, LD: 0.21, APO : 518688.77\n",
      "RUN #: 80, SAMPLE #: 22, EFPA: -11.58, SIGMA: -0.42, LD: 0.23, APO : 547364.21\n",
      "RUN #: 81, SAMPLE #: 15, EFPA: -11.60, SIGMA: 0.59, LD: 0.25, APO : 595504.14\n",
      "RUN #: 82, SAMPLE #: 52, EFPA: -12.00, SIGMA: -0.33, LD: 0.23, APO : 597994.50\n",
      "RUN #: 83, SAMPLE #: 117, EFPA: -11.15, SIGMA: 0.67, LD: 0.25, APO : 510244.25\n",
      "RUN #: 84, SAMPLE #: 131, EFPA: -11.67, SIGMA: -0.96, LD: 0.24, APO : 540417.75\n",
      "RUN #: 85, SAMPLE #: 188, EFPA: -12.22, SIGMA: 0.71, LD: 0.27, APO : 100155.29\n",
      "RUN #: 86, SAMPLE #: 103, EFPA: -11.48, SIGMA: 0.24, LD: 0.23, APO : 514826.19\n",
      "RUN #: 87, SAMPLE #: 106, EFPA: -11.77, SIGMA: 0.14, LD: 0.25, APO : 481187.97\n",
      "RUN #: 88, SAMPLE #: 32, EFPA: -11.54, SIGMA: -0.99, LD: 0.25, APO : 564528.65\n",
      "RUN #: 89, SAMPLE #: 47, EFPA: -11.84, SIGMA: 1.42, LD: 0.26, APO : 509859.79\n",
      "RUN #: 90, SAMPLE #: 102, EFPA: -11.60, SIGMA: 2.24, LD: 0.24, APO : 511849.64\n",
      "RUN #: 91, SAMPLE #: 132, EFPA: -11.98, SIGMA: -0.01, LD: 0.25, APO : 611874.01\n",
      "RUN #: 92, SAMPLE #: 136, EFPA: -11.38, SIGMA: 0.98, LD: 0.24, APO : 553651.84\n",
      "RUN #: 93, SAMPLE #: 70, EFPA: -12.14, SIGMA: -0.09, LD: 0.25, APO : 196730.11\n",
      "RUN #: 94, SAMPLE #: 133, EFPA: -11.73, SIGMA: 0.90, LD: 0.24, APO : 535511.49\n",
      "RUN #: 95, SAMPLE #: 150, EFPA: -12.25, SIGMA: 0.62, LD: 0.25, APO : 94625.31\n",
      "RUN #: 96, SAMPLE #: 140, EFPA: -11.56, SIGMA: 0.03, LD: 0.23, APO : 534041.02\n",
      "RUN #: 97, SAMPLE #: 196, EFPA: -12.13, SIGMA: -0.54, LD: 0.25, APO : 162698.74\n",
      "RUN #: 98, SAMPLE #: 102, EFPA: -11.53, SIGMA: 0.90, LD: 0.27, APO : 496461.04\n",
      "RUN #: 99, SAMPLE #: 183, EFPA: -11.64, SIGMA: 1.19, LD: 0.26, APO : 573322.78\n",
      "RUN #: 100, SAMPLE #: 152, EFPA: -11.82, SIGMA: -1.07, LD: 0.23, APO : 561307.00\n",
      "RUN #: 101, SAMPLE #: 191, EFPA: -12.31, SIGMA: 0.68, LD: 0.25, APO : 83272.41\n",
      "RUN #: 102, SAMPLE #: 90, EFPA: -11.91, SIGMA: -1.04, LD: 0.23, APO : 504916.71\n",
      "RUN #: 103, SAMPLE #: 93, EFPA: -11.57, SIGMA: -2.50, LD: 0.21, APO : 466742.75\n",
      "RUN #: 104, SAMPLE #: 194, EFPA: -12.08, SIGMA: -0.03, LD: 0.24, APO : 313081.80\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RUN #: 105, SAMPLE #: 112, EFPA: -11.75, SIGMA: -0.66, LD: 0.26, APO : 510612.42\n",
      "RUN #: 106, SAMPLE #: 11, EFPA: -11.59, SIGMA: 0.22, LD: 0.24, APO : 523786.76\n",
      "RUN #: 107, SAMPLE #: 107, EFPA: -11.43, SIGMA: 0.82, LD: 0.24, APO : 512275.22\n",
      "RUN #: 108, SAMPLE #: 161, EFPA: -11.62, SIGMA: -0.83, LD: 0.23, APO : 523899.91\n",
      "RUN #: 109, SAMPLE #: 65, EFPA: -12.07, SIGMA: -0.26, LD: 0.25, APO : 255210.84\n",
      "RUN #: 110, SAMPLE #: 99, EFPA: -11.28, SIGMA: 0.07, LD: 0.26, APO : 531682.23\n",
      "RUN #: 111, SAMPLE #: 174, EFPA: -12.20, SIGMA: -1.17, LD: 0.23, APO : 132191.14\n",
      "RUN #: 112, SAMPLE #: 194, EFPA: -11.84, SIGMA: -1.73, LD: 0.21, APO : 601430.74\n",
      "RUN #: 113, SAMPLE #: 48, EFPA: -11.96, SIGMA: 3.12, LD: 0.24, APO : 244265.00\n",
      "RUN #: 114, SAMPLE #: 46, EFPA: -12.09, SIGMA: 0.02, LD: 0.25, APO : 195492.86\n",
      "RUN #: 115, SAMPLE #: 141, EFPA: -11.51, SIGMA: 0.11, LD: 0.25, APO : 535022.74\n",
      "RUN #: 116, SAMPLE #: 115, EFPA: -11.73, SIGMA: 1.89, LD: 0.25, APO : 495789.22\n",
      "RUN #: 117, SAMPLE #: 32, EFPA: -10.80, SIGMA: 1.14, LD: 0.23, APO : -98828.45\n",
      "RUN #: 118, SAMPLE #: 85, EFPA: -11.77, SIGMA: -1.30, LD: 0.25, APO : 511076.81\n",
      "RUN #: 119, SAMPLE #: 12, EFPA: -11.52, SIGMA: -0.10, LD: 0.23, APO : 525842.13\n",
      "RUN #: 120, SAMPLE #: 102, EFPA: -11.54, SIGMA: -0.53, LD: 0.24, APO : 496323.94\n",
      "RUN #: 121, SAMPLE #: 187, EFPA: -11.92, SIGMA: 0.80, LD: 0.24, APO : 518752.40\n",
      "RUN #: 122, SAMPLE #: 88, EFPA: -11.06, SIGMA: -1.33, LD: 0.24, APO : 483112.54\n",
      "RUN #: 123, SAMPLE #: 187, EFPA: -11.55, SIGMA: 0.42, LD: 0.25, APO : 521946.94\n",
      "RUN #: 124, SAMPLE #: 154, EFPA: -11.44, SIGMA: 0.25, LD: 0.22, APO : 545445.85\n",
      "RUN #: 125, SAMPLE #: 74, EFPA: -12.19, SIGMA: -0.74, LD: 0.25, APO : 132032.22\n",
      "RUN #: 126, SAMPLE #: 194, EFPA: -12.13, SIGMA: -0.11, LD: 0.24, APO : 219507.13\n",
      "RUN #: 127, SAMPLE #: 80, EFPA: -12.11, SIGMA: 0.59, LD: 0.26, APO : 232618.23\n",
      "RUN #: 128, SAMPLE #: 182, EFPA: -11.25, SIGMA: -0.45, LD: 0.22, APO : 535774.95\n",
      "RUN #: 129, SAMPLE #: 102, EFPA: -11.56, SIGMA: 0.63, LD: 0.24, APO : 481855.46\n",
      "RUN #: 130, SAMPLE #: 143, EFPA: -11.49, SIGMA: 1.99, LD: 0.23, APO : 490552.70\n",
      "RUN #: 131, SAMPLE #: 94, EFPA: -10.96, SIGMA: 0.69, LD: 0.25, APO : -121939.67\n",
      "RUN #: 132, SAMPLE #: 158, EFPA: -11.46, SIGMA: -0.88, LD: 0.24, APO : 482192.20\n",
      "RUN #: 133, SAMPLE #: 121, EFPA: -11.89, SIGMA: -0.58, LD: 0.22, APO : 488963.26\n",
      "RUN #: 134, SAMPLE #: 7, EFPA: -11.45, SIGMA: -2.02, LD: 0.25, APO : 532583.58\n",
      "RUN #: 135, SAMPLE #: 32, EFPA: -11.82, SIGMA: 0.47, LD: 0.24, APO : 490108.25\n",
      "RUN #: 136, SAMPLE #: 57, EFPA: -11.13, SIGMA: 0.80, LD: 0.24, APO : 508518.14\n",
      "RUN #: 137, SAMPLE #: 142, EFPA: -11.45, SIGMA: 1.30, LD: 0.22, APO : 497438.64\n",
      "RUN #: 138, SAMPLE #: 2, EFPA: -11.42, SIGMA: 0.40, LD: 0.24, APO : 514263.47\n",
      "RUN #: 139, SAMPLE #: 166, EFPA: -11.58, SIGMA: -0.12, LD: 0.26, APO : 501760.01\n",
      "RUN #: 140, SAMPLE #: 63, EFPA: -11.57, SIGMA: -0.74, LD: 0.24, APO : 552279.86\n",
      "RUN #: 141, SAMPLE #: 103, EFPA: -11.63, SIGMA: -0.59, LD: 0.24, APO : 462930.31\n",
      "RUN #: 142, SAMPLE #: 200, EFPA: -11.55, SIGMA: -0.80, LD: 0.23, APO : 520793.05\n",
      "RUN #: 143, SAMPLE #: 104, EFPA: -11.66, SIGMA: 1.57, LD: 0.25, APO : 504137.98\n",
      "RUN #: 144, SAMPLE #: 82, EFPA: -11.31, SIGMA: 0.09, LD: 0.25, APO : 484523.34\n",
      "RUN #: 145, SAMPLE #: 43, EFPA: -11.97, SIGMA: 0.74, LD: 0.23, APO : 562126.82\n",
      "RUN #: 146, SAMPLE #: 40, EFPA: -11.97, SIGMA: 0.05, LD: 0.25, APO : 598041.44\n",
      "RUN #: 147, SAMPLE #: 85, EFPA: -11.63, SIGMA: 1.03, LD: 0.23, APO : 502024.29\n",
      "RUN #: 148, SAMPLE #: 75, EFPA: -11.50, SIGMA: 0.34, LD: 0.26, APO : 475190.44\n",
      "RUN #: 149, SAMPLE #: 145, EFPA: -11.88, SIGMA: 0.50, LD: 0.24, APO : 563575.46\n",
      "RUN #: 150, SAMPLE #: 164, EFPA: -12.02, SIGMA: 0.77, LD: 0.25, APO : 571904.08\n",
      "RUN #: 151, SAMPLE #: 68, EFPA: -11.76, SIGMA: 0.42, LD: 0.24, APO : 513048.45\n",
      "RUN #: 152, SAMPLE #: 53, EFPA: -11.60, SIGMA: -1.04, LD: 0.26, APO : 530146.52\n",
      "RUN #: 153, SAMPLE #: 162, EFPA: -12.18, SIGMA: -1.08, LD: 0.26, APO : 237159.38\n",
      "RUN #: 154, SAMPLE #: 28, EFPA: -11.91, SIGMA: 0.83, LD: 0.24, APO : 558258.11\n",
      "RUN #: 155, SAMPLE #: 125, EFPA: -11.51, SIGMA: 0.81, LD: 0.22, APO : 485188.63\n",
      "RUN #: 156, SAMPLE #: 151, EFPA: -11.83, SIGMA: -0.22, LD: 0.24, APO : 520208.92\n",
      "RUN #: 157, SAMPLE #: 188, EFPA: -11.78, SIGMA: 0.87, LD: 0.26, APO : 519159.11\n",
      "RUN #: 158, SAMPLE #: 28, EFPA: -11.67, SIGMA: -1.41, LD: 0.24, APO : 499355.17\n",
      "RUN #: 159, SAMPLE #: 123, EFPA: -11.83, SIGMA: 0.15, LD: 0.25, APO : 506560.75\n",
      "RUN #: 160, SAMPLE #: 179, EFPA: -11.95, SIGMA: -0.99, LD: 0.26, APO : 497962.99\n",
      "RUN #: 161, SAMPLE #: 186, EFPA: -11.29, SIGMA: 0.27, LD: 0.21, APO : 547391.74\n",
      "RUN #: 162, SAMPLE #: 99, EFPA: -11.67, SIGMA: 0.61, LD: 0.23, APO : 533212.78\n",
      "RUN #: 163, SAMPLE #: 169, EFPA: -11.51, SIGMA: -1.60, LD: 0.25, APO : 514248.79\n",
      "RUN #: 164, SAMPLE #: 27, EFPA: -11.63, SIGMA: -1.63, LD: 0.23, APO : 522330.35\n",
      "RUN #: 165, SAMPLE #: 193, EFPA: -11.72, SIGMA: 1.01, LD: 0.23, APO : 573926.87\n",
      "RUN #: 166, SAMPLE #: 107, EFPA: -12.23, SIGMA: 1.61, LD: 0.25, APO : 91304.29\n",
      "RUN #: 167, SAMPLE #: 16, EFPA: -11.94, SIGMA: 1.24, LD: 0.23, APO : 538570.35\n",
      "RUN #: 168, SAMPLE #: 126, EFPA: -11.98, SIGMA: -0.30, LD: 0.26, APO : 585785.21\n",
      "RUN #: 169, SAMPLE #: 32, EFPA: -11.45, SIGMA: -0.06, LD: 0.26, APO : 517495.31\n",
      "RUN #: 170, SAMPLE #: 55, EFPA: -11.79, SIGMA: 0.17, LD: 0.23, APO : 528475.24\n",
      "RUN #: 171, SAMPLE #: 90, EFPA: -11.71, SIGMA: -1.64, LD: 0.22, APO : 566690.73\n",
      "RUN #: 172, SAMPLE #: 3, EFPA: -12.19, SIGMA: 0.86, LD: 0.25, APO : 134939.05\n",
      "RUN #: 173, SAMPLE #: 127, EFPA: -11.72, SIGMA: -1.54, LD: 0.25, APO : 548083.53\n",
      "RUN #: 174, SAMPLE #: 196, EFPA: -11.90, SIGMA: 0.30, LD: 0.22, APO : 533782.16\n",
      "RUN #: 175, SAMPLE #: 151, EFPA: -11.25, SIGMA: -1.23, LD: 0.26, APO : 549103.34\n",
      "RUN #: 176, SAMPLE #: 53, EFPA: -11.27, SIGMA: -0.80, LD: 0.26, APO : 510315.42\n",
      "RUN #: 177, SAMPLE #: 134, EFPA: -12.11, SIGMA: -0.53, LD: 0.25, APO : 218600.35\n",
      "RUN #: 178, SAMPLE #: 45, EFPA: -11.52, SIGMA: 0.86, LD: 0.25, APO : 507244.97\n",
      "RUN #: 179, SAMPLE #: 36, EFPA: -11.89, SIGMA: -1.06, LD: 0.25, APO : 516131.23\n",
      "RUN #: 180, SAMPLE #: 16, EFPA: -11.39, SIGMA: 0.43, LD: 0.21, APO : 538555.96\n",
      "RUN #: 181, SAMPLE #: 25, EFPA: -11.50, SIGMA: 1.77, LD: 0.25, APO : 502387.15\n",
      "RUN #: 182, SAMPLE #: 153, EFPA: -11.68, SIGMA: 0.44, LD: 0.25, APO : 535382.93\n",
      "RUN #: 183, SAMPLE #: 77, EFPA: -11.64, SIGMA: 0.70, LD: 0.24, APO : 517909.23\n",
      "RUN #: 184, SAMPLE #: 58, EFPA: -11.66, SIGMA: -0.06, LD: 0.23, APO : 517697.47\n",
      "RUN #: 185, SAMPLE #: 79, EFPA: -11.60, SIGMA: -0.31, LD: 0.22, APO : 514688.57\n",
      "RUN #: 186, SAMPLE #: 12, EFPA: -11.31, SIGMA: 0.34, LD: 0.23, APO : 574256.15\n",
      "RUN #: 187, SAMPLE #: 127, EFPA: -11.96, SIGMA: -0.28, LD: 0.24, APO : 529303.89\n",
      "RUN #: 188, SAMPLE #: 53, EFPA: -12.08, SIGMA: 1.61, LD: 0.22, APO : 206067.92\n",
      "RUN #: 189, SAMPLE #: 29, EFPA: -11.62, SIGMA: -0.17, LD: 0.24, APO : 541876.60\n",
      "RUN #: 190, SAMPLE #: 54, EFPA: -12.03, SIGMA: 0.01, LD: 0.23, APO : 305478.73\n",
      "RUN #: 191, SAMPLE #: 83, EFPA: -11.60, SIGMA: 0.92, LD: 0.24, APO : 547886.69\n",
      "RUN #: 192, SAMPLE #: 108, EFPA: -11.58, SIGMA: 1.05, LD: 0.22, APO : 582551.95\n",
      "RUN #: 193, SAMPLE #: 102, EFPA: -11.71, SIGMA: 0.31, LD: 0.25, APO : 486528.59\n",
      "RUN #: 194, SAMPLE #: 81, EFPA: -11.54, SIGMA: -1.28, LD: 0.23, APO : 511513.94\n",
      "RUN #: 195, SAMPLE #: 54, EFPA: -11.66, SIGMA: 1.51, LD: 0.24, APO : 516495.86\n",
      "RUN #: 196, SAMPLE #: 69, EFPA: -11.41, SIGMA: -0.20, LD: 0.24, APO : 483598.91\n",
      "RUN #: 197, SAMPLE #: 54, EFPA: -12.02, SIGMA: -0.22, LD: 0.24, APO : 381775.46\n",
      "RUN #: 198, SAMPLE #: 107, EFPA: -11.78, SIGMA: 0.18, LD: 0.26, APO : 518064.83\n",
      "RUN #: 199, SAMPLE #: 111, EFPA: -11.54, SIGMA: 0.91, LD: 0.24, APO : 536557.12\n",
      "RUN #: 200, SAMPLE #: 10, EFPA: -11.74, SIGMA: 2.13, LD: 0.23, APO : 512372.21\n"
     ]
    }
   ],
   "source": [
    "vehicle.runMonteCarlo2(200, '../../../data/acta-astronautica/uranus-orbiter-probe/MCBXA')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "86177244",
   "metadata": {},
   "outputs": [],
   "source": [
    "p1  = np.loadtxt('../../../data/acta-astronautica/uranus-orbiter-probe/MCBXA/terminal_periapsis_arr.txt')\n",
    "x1  = np.loadtxt('../../../data/acta-astronautica/uranus-orbiter-probe/MCBXA/terminal_apoapsis_arr.txt')\n",
    "y1  = np.loadtxt('../../../data/acta-astronautica/uranus-orbiter-probe/MCBXA/acc_net_g_max_arr.txt')\n",
    "z1  = np.loadtxt('../../../data/acta-astronautica/uranus-orbiter-probe/MCBXA/q_stag_max_arr.txt')\n",
    "h1  = np.loadtxt('../../../data/acta-astronautica/uranus-orbiter-probe/MCBXA/heatload_max_arr.txt')\n",
    "u1  = np.loadtxt('../../../data/acta-astronautica/uranus-orbiter-probe/MCBXA/periapsis_raise_DV_arr.txt')\n",
    "v1  = np.loadtxt('../../../data/acta-astronautica/uranus-orbiter-probe/MCBXA/apoapsis_raise_DV_arr.txt')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "cf4145f7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAo8AAAFTCAYAAABYhOayAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8qNh9FAAAACXBIWXMAAA9hAAAPYQGoP6dpAACno0lEQVR4nOyde1xM+f/HX5UoJEIkS3bZxbIh67K7rPtiWbvsutslt12XdV3WuqzvyiaJdHEpKtdyzaaItiSisqULJSPd0L100ZSaOb8/zm9GY2aUMTNnZj6f5+Mxj8w5nznn/Xo3n+Pd5/J+6zEMw4BCoVAoFAqFQmkA+lwbQKFQKBQKhULRHmjwSKFQKBQKhUJpMDR4pFAoFAqFQqE0GBo8UigUCoVCoVAaDA0eKRQKhUKhUCgNhgaPFAqFQqFQKJQGQ4NHCoVCoVAoFEqDacS1AeqmWbNmqKqqgoGBAczNzbk2h0KhqIH8/HwIBAIYGRnhxYsXXJujFdBnJYVCHg19VuqRliTcwMAAQqGQazMoFAoH6OvrQyAQcG2GVkCflRQKudT3rCRu5FH0QNTX14eFhYVSrllTU4P8/HyYm5vD0NBQKdfUJkjWT7Vrh/acnBwIhUIYGBhwbYrWoIpnpaagTd9ddUF9Ig2JPmnws5IhDEtLSwYAY2lpqbRrxsbGMgCY2NhYpV1TmyBZP9WuHdpV0e91HV32mTZ9d9UF9Yk0JPqkof2ebpihUCgUCoVCoTQYGjxSKBQKhUKhUBoMDR4pFAqFQqFQKA2GBo8UCoVCoVAolAZDg0cKhUKhUCgUSoMhLlUPhUKhUCiaCI8HeHkBGRmAlRVgawt068a1VRSKNHTkkUKhUCgUjvH2Bnr0ADw8gLw89mePHoCPD9eWUSjS0OCRQqFQKBQO4fGAhQvZkcYnT4CwMPbnvHnAggXAo0dcW0ihSEKDRyVgYWGBVatW6VwVhoZCsn6qnUztFO1G0767Xl6AqSng4gIYG7PHjI3Z9y1aAIcPq94GTfOJJkB9Ih+65lEJWFhYoHfv3sR+wUjWT7WTqZ2i3WjadzcjA7C2BoyMJI8bGwN9+rDnZVF3jWSLFuyxsjLF1ktqmk80AeoT+dDgUUn06NGDaxM4hWT9uqB9zzZGoc9lZHfHnidv/uyqzXoKXZtCUSWa1G+trICrVwE+/9XII8C+j48HFi+W/oy3NzvVbWoKmJsDDx6wx7t3Z6/l6AgcOgTMndtwOzTJJ5oC9Yls6LS1kigvL+faBE4hWT/J2qurydXOJVevXsXq1auxf/9+JCcnAwBKSkowe/ZsrFy5EtOnT8fDhw+lPufq6ooff/wRc+fOxaFDh9RttkahSf3W1hYoLQV+/ZUNGAH256+/siOJ8+dLtq+7RjI8nH0/bx4bKPJ4wPXriq2X1CSfaArUJ7LRmJHHqqoqHDx4EL6+voiKipI4l5mZiXXr1qFDhw4oKCjArl270L59e/F5hmGwadMm5Ofno7KyEtOnT8fEiRPVav/z58/Vej9Ng2T9JGvnVz3n2gSiYBgGa9euRXl5Ofbt24dGjRqJj0+cOBE//vgjFi1ahLi4OIwePRr37t2DiYkJAMDDwwN+fn6IjIyEUChE//790bZtW0yaNIlLSZyhSf22Wzd2lHDBAuD8eXYKOz6eDRwPHQK6dpVsX3eN5P/+x/573z42cPTzA6ZOBb7+GmjWjF0vaW/fMDs0ySeaAvWJbDQieKytrYWvry88PDzw4sULiXOVlZUYOXIk9u3bhzFjxuD8+fOYOHEioqKiYGBgAADYuHEjMjIycPLkSVRWVqJ79+6wsLBA//791aahd+/earuXJkKyfpK1W7QjVzsXbNq0CfHx8bh69ar4+QcAZ8+eRUxMDEJCQgAA/fr1g7GxMZydnbF582bw+Xxs3LgR9v8fRejr62Pq1KlYs2YNvvnmG+jpkbe0QNP67dy5wBdfsMFeRgY7VT1/vnTgCLxaI5mdDfzzD9CoETBlCnD5MsAwQGoq8PAhIBCwO7cbyus+oXknNe97oiloxLR1o0aNMG/ePJmjhe7u7qiqqsKYMWMAAJMmTUJKSgpOnjwJAHj69CmcnJxga2sLAGjatCnGjx+P9evXq08AgMuXL6v1fpoGyfpJ1v6AR652dRMdHQ1HR0d4e3tLBI4AGzx2794dxnUWzNnY2ODUqVMAgPDwcBQWFqJfv34S59PS0hAbG6seARqGJvbbrl3ZUUJfX/anrMARYAO5mBg2D2R6OlBUBFy6xAaOAGBoCAiF7L9jYho+dV3XJzTvJIsmfk80AY0YeRRh9PpWM7APxboPPAMDA1hbW+PUqVOYM2cOAgIC8PLlS6mHooeHB/Lz82Fubq4W2xcuXKiW+2gqJOsnWfsgG3K1q5tt27ZhwIAB8PHxQUREBPh8PrZt24YRI0YgJiYGVlZWEu3Nzc2RkpKC6upqxMTEAABat24tcR4A7t69+8ZZmpqaGsTFxdVrn4WFhVbtStXmfjtiBLBjB/DRR8CxY8CAAexxQ0Ogpoad+vb1BY4fZ49v3sy+rw+RT+quqdy7l93EI1qDuWABO0IqL7DVNbT5e1KXnJwc5OTk1NuupqamQdfTiJFHeQgEAsTGxko88AD2oXf37l0AQExMDPT19dGqVSuJ8wzDICEhQe61RQ/E+l4NcTYAODs7v71AHYJk/SRrj7jtzOn9c3JyGtSPG/pA1FRevHiBkJAQdOjQAStWrMDly5dhaWmJ8ePHIz09Hfn5+TAzM5P4jImJCYRCIYqLi5Gfnw8AEm1EayELCwvfeO/8/HzY2NjU+1q5ciWSk5Ph4uKCsrIy2NnZAQDs7OxQXFwMd3d3JCYmIiAgAEFBQYiLi8PBgwdRUFAg0bayshJOTk5ITU3F6dOnERoailu3bsHHxwfZ2dkSbQUCAezt7ZGZmYljx47h5s2bCA8Ph5+fH3g8HhwdHVFVVSXxmdzcXHh6emLt2rUIDg6Gv78/7t27B1dXV5SWlkq0ff78Odzc3JCUlIQLFy7g0qVLiI2NhYeHB/Ly8iTa8vl8ODk5gcfj4dSpUwgLC0NkZCSOHj2KrKwsbN++HUKhEHZ2dhAKhdi+fTuysrJw9OhRREZGIiwsDKdOnQKPx4OTkxP4fL7E9fPy8uDh4YHY2Fh4eqbByKgWPB6DYcOqoKfHAGDAfs0ZfPstg5Mnhdiw4SkABkFBL3Hnzh14enoiNzdX4rpVVVVwdHQEj8eDra0twsPD8b//ZcPIqBpr1mTC2dkeAoEATk52cHEBGjfmY8+eMvj4+ODWrVsIDQ3F6dOnkZqaCicnJ1RWVkpcv6CgAAcPHkRcXByCgoIQEBCAxMREuLu7o7i4WKJtWVkZXFxckJycjPPnz+PKlSu4c+cODh8+jGfPnkm0ra6uxs6dO5GWlgZfX1+Eh4fjxo0bOH78ODIyMrBjxw7U1tZKfObJkyfw9vZGVFQUQkJCcObMGTx48AB79uxBRUWFRNvCwkIcOHAA69evR2BgIC5evIj4+Hjs378fRUVFEm3Ly8vh7OyM5ORknDt3DlevXkV0dDS8vLyk7K6pqYGDgwMeP36MEydOICIiAhEREThx4gQeP34MBwcH1NTUSHzm2bNn8PLyQnR0NK5evYpz584hOTkZzs7OKC8vl2hbVFSE/fv3Iz4+HhcvXkRgYCDi4+OxcOHCBvVj0bOiXhgN4s8//2Q6d+4sfp+fn88AYFavXi3Rbs6cOUzjxo0ZhmGY8ePHM2ZmZhLnQ0NDGQDMyZMnpe5haWnJ9rIGvqZOncrcv3+f2bt3L1NaWsps27aNYRiG2bZtG1NUVMS4ubkxCQkJzD///MMEBgYysbGxzIEDB5j8/HyJti9evGB27drFPHjwgDl16hTz77//MpGRkYy3tzeTlZUl0ba2tpb5+++/mYyMDObo0aPMjRs3mGvXrjG+vr7Mw4cPmZ07dzJ8Pl/iMzk5OYyHhwcTExPDXL58mTl//jyTlJTEuLi4MM+fP5doW1JSwri6ujKJiYmMv78/ExQUxPz333/MwYMHmdzcXIm2lZWVzK5du5iHDx8yfn5+TGhoKHPz5k3myJEjTGZmJmNnZ8cIBAJm27ZtjEAgYOzs7JjMzEzmyJEjzM2bN5nQ0FDGz8+PefjwIbNr1y6msrJS4vq5ubnMwYMHmf/++48JCgpi/P39mcTERMbV1ZUpKSmRaPv8+XPGxcWFSUpKYs6fP89cvnyZiYmJYTw8PJicnByJtnw+n9m5cyfz8OFDxtfXl7l27Rpz48YN5ujRo0xGRgbz999/M7W1tRKfycrKYry9vZnIyEjm33//ZU6dOsU8ePCA2bVrF/PixQuJtvn5+cyBAweY2NhYJjAwkPnnn3+YhIQExs3NjSkqKpJoW1payuzdu5e5f/8+c+7cOSY4OJiJiYlhDh06xDx9+lSibVVVFePg4MA8evSIOXnyJHPt2jUmIiKCOXbsGJOens7Y29szNTU1Ep/Jzs5mvLy8mNu3bzNXr15lTp8+zaSkpDC7d+9mysvLJdoWFBQw+/fvZ+7evctcvHiRCQgIYO7evctMmeDObPu9gBk34i9m919CZtyIv5i/N5Yyk8buZtYtu8f8NO0Ms/jHYGbFwtvMtG8PMX+ufSLR1vHPaubr0fbMxpWPmFlTjjFLbcOZpbbhzKwpx5i0tDRmx44dzMuXLyVsefr0KXP48GEmKiqKuXLlCnP27Fnm/v37zJ49e5iysjKJtoWFhcy+ffuYu3fvMgEBAczFixeZu3fvMl9//fVb9WdLS8t6nkKaSWJiIgOAOXv2rPjYw4cPGQDMqlWrmGbNmjGzZs2S+Mwff/zBAGAKCgqYpUuXMgCYmpoaqc87OjrKvKfoWWlubs7ExsbW+3r27JlqxFOkmD6dYYYPZxgej2HGj2cYdsKaYSwsGEZPj/33jh0MU1nJvm/R4s3Xe/iQYX7/nb3uokUM88EHDGNuzh57+FCy7fDhbDuKdvHs2bMG9WNzc/MGPSv1GEa0SoJ7tm7dCh8fH2T8f0bUwsJCtG3bFhs3bhRH1gAwa9Ys/PPPP6ioqMCECRMQHx+PJ0+eiM+HhIRgzJgxOHPmDL7//nuJe3Ts2BFPnz6Fubl5g9YyNHQqxs7ODps2bWqgUt2DZP26oF3RPI8h4XYYPezN2lWZ57GhUzHjxo1Dfn4+LC0tJZ4V2sLt27fx2WefITg4GF999ZX4eKdOnfDJJ58gNTUV3bt3x8WLF8XnVqxYAXd3d7x8+RL29vbYtGkTCgsLxTM5d+/eRb9+/eDj44OffvpJ6p6iZ6W2+qw+tLnfbtjArkEMDwf69gVatmTXPc6Ywa59tLBgN81YWADPnrFrFf8/o5MUdfNF6usXorCwDQBAX5+9bmnpq3yRfD5gaclu5mnoDm5tR5u/J4rQ0H6vUWseX6d169Zo3LgxSktLJY5XVFSgbdu2ANjg7vr161LnAYjbyMLQ0FBineS78vPPPyvtWtoIyfpJ1j74U261N/SPO0NDQzVYozo6duwIACguLpY43q5dO5iZmcHa2hrZ2dkS53Jzc2FjYwN9fX1YW1sDYKegRcFjbm4uAGCAaMEcYWhzv7W1ZZOAz5nDBn1HjgATJrxa1yj6L/PZM/Znaiq70UWUB7JuVZpDh9hd3d98A3zzTWt06cKunXz4EBg2jG2zYAHQvz+7/rG0FCgpYQNVEnZga/P3RJVo9JpHPT099O7dW2oOPjc3V/zAs7a2RkVFBSorKyXON2rUSKnBYX2cPXtWbffSREjWT7L2xGRytauT9957D5988glu374tcby4uBgjR47E7NmzkZCQgOrqavG5xMRE8czLV199hbZt20rk0E1MTETPnj2JraChjf2Wx2NH/SZNYqvKJCSwuSCdnIDGjV+1q5t5qVcvNo3PggXA2rXsJpvdu4Fbt9igUygEXr5kg0eGAWprX5VDPH+eTQWkpwd8+umrGttnzpCzA1sbvyfqQKODRwCYPXu2xAOvtrYWKSkp4ofitGnTYGhoiOjoaHGbxMREjBkzRrwgXB0MGjRIbffSREjWT7L2zh3J1a5uHBwc4OvrK97g8t9//8HY2BgzZ87ExIkT0atXLwQFBQFgNxJWV1djyZIlANiR1z/++AP+/v4A2Oeon58fHBwcuBGjAWhbv/X2ZksPeniwQWRBAXu8thaoqGBHFT/4gD0mWoxmbs6OPp45w+Z8dHJij3/0EfuZ6mrAxIQNIkV7Tl+8AAYNehWANm8OGBiwdbf19NhRyidP2PyRT54oVslGm9C274m60KjgsaamBrW1tRLH5s+fD4ZhxKkizp8/j549e2LKlCkA2KnpJUuWiB+K5eXluHz5MrZt26ZW23VxTdDbQLJ+krU/LyNXu7oZO3Ys3N3dsXjxYmzbtg0HDx5EcHAwDA0NYWBggICAAJw+fRrr1q2Dq6srQkND0axZM/HnV65cCRsbGyxevBgLFizA+vXrMWHCBA4VcYs29VtR6hyGYYO1sjL2NXkye/7OHTaofPyYfS8K/Fq1Ytcu1oVhgKQkoE0bdk2jqPpecTFgaCgEjwcEBwNNmrDHs7PZALW8nB2l/PTTV/W3jY3ZKjctWrwaldQ1tOl7ok40Zs3juXPnEBAQgJycHDg7O2PmzJkwNzeHiYkJrly5gi1btsDKygpFRUUICgqCfp0e4ejoiNWrV+PXX39FSUkJDh8+rNYpa4AtD0YyJOsnWTtI1s4BU6dOxdSpU2We69ChA/z8/N74+T///FMVZmkl2tRvvbzYdYjGxmwZQlFK5DFj2KllESJJop+pqdLXMjICqqrYNY1t2rw6rq8PCAR6WLOGDUyrqtjzRUVs0Dh2LFsy8ZdfgOHDX+V5NDYG+vR5NdWta2jT90SdaEzwOGXKFPFo4uv06NEDZ86ckftZQ0NDuLq6qsq0BvHee+9xen+uIVk/ydpbmpKrnaLdaFO/FW1u+fjjV4EjjwcsXQo0bQpUVrIbZwwNgXrSdqKqip2GFgjYtnp6bLApFLLHResX9fXZwJFh2CTk1tZAdDQ7zV23XjafzwaVixerSDzHaNP3RJ1o1LS1NvP6QnbSIFk/ydozssnVTtFutKnfWlmxo4Hx8WywBrCjkS1asMEgwE5rN7Tqi0Dw6t91B9YEAj3xlLdQyJ5r3pytaGNry+60NjZ+tb5RVHWmrIxdC6mLaNP3RJ3Q4FFJyJtKIgWS9ZOsvU8vcrVTtBtt6re2tmzZwefPgSVL2KDt0SN2XaKohvVPPwGiYmyN3mFO0dBQcrc2n88Ght26sVPmOTlAYCAbUFpasht5Dh3S3XKF2vQ9USc0eFQS+/fv59oETiFZP8nab8WQq52i3WhTv+3WjQ3Q9PTYaeUWLdi1jv+fqhMAu5O6e3d2Wvu1fadvxcuXkqORo0axgSGfz27M0ddnA9V27dip6gcP2J3euoo2fU/UiUZVmFEHul41gUJRBEUrzDQEVVaYaSi037891Geax6NHwK5dQEQEG+SlpQHjxrG7owF2PWJZmeLXF62FrEvjxsDnn7NT5mVlr6rNUHSThvZ7OvKoJOqWTyQRkvWTrD0knFztFO1GG/tt167AgQNsqcFHj9gp46tX2U0zDPNugSMACASMVGqfHj3YEc727dl8jp9//m730Da08XuiDmjwqCRWrFjBtQmcQrJ+krUPGUyudop2owv9du5cdtp4+XK2lKAIfX2gY8dX+RjfBtEaShFJSWw1mfbt2WTjul5R5nV04XuiCmjwqCQO62qG1AZCsn6StUfHkqudot3oSr9lGDbBd1LSq2NCIVv9RbQz+11o0YJNTH7wIBkVZV5HV74nyoYGj0pizJgxXJvAKSTrJ1n7R13J1U7RbnSh39YtWVhUpJp7vHgBuLuzI46nTul+RZnX0YXviSqgwaOSSElJ4doETiFZP8na8wrI1U7RbrS934pKFoqmmV9fq6gsGjdmp7+FQjZlz9Onul1R5nW0/XuiKmjwqCRMTEy4NoFTSNZPsnajJuRqp2g32t5vd+169e/evdmci6rgxQtgxw42PY9QyP47Pp5NXE4C2v49URU0eFQSpqamXJvAKSTrJ1m7URNytVO0G23ut97egKcnm1ZHT48dDczOVt39Fi8Gvv+eTeVz7pxuV5R5HW3+nqgSGjwqifv373NtAqeQrJ9k7bkF5GqnaDfa2m9F09WffMJOVevrA1u3qv6+Eyawwerz58CqVbpbUeZ1tPV7ompo8Kgkxo4dy7UJnEKyfpK1d+9KrnaKdqOt/dbLCzA1BY4fZ3daCwRsfWl1smsXu+OaBLT1e6JqaPCoJLy8vLg2gVNI1k+y9pg4crVTtBtt7bcZGYC1NdCrF2Bvr/77d+vG/jx8GAgNVf/91Y22fk9UDS1PSKFQaHlCihTUZ5rJhg1sap4nT9hd0H36AAkJ6rl39+7s5pyQEHb6etAg4PZt9dyboh5oeUI1Q3oJI5L1k6ydlidkOXfuHNcmUN4Sbe23trZAaSk7Vc3ns7WtGzdmN868O2/+I/LxY+CDD4C+fQFDQ+DZM2XcU7PR1u+JqqEjj0qipqYGhoaGSruetkGyfl3QrujIo0BQAwODN2vXlZHHp0+fYseOHXj48CFqamrExwUCARISEvD8+XMlWasZ6PrIozb3Wx8fds2hqSnw4YdAVBR7XE+PXQepOAwA6f76wQdAWhr776AgYNYsckYetfl7ogh05FHN7N69m2sTOIVk/SRrD79FjvYJEybgn3/+QevWrdG5c2fxq0uXLjSdhxaizf1WVNN60SI23+L777PHVTUUJAocAWDdOjZwBAASBuW0+XuiShpxbYCu8MMPP3BtAqeQrJ9k7X0+Jkf748ePkZSUhE6dOkmdu3jxIgcWUd4Fbe+3Xbu+2jAzYwZQUQHk56v+vqLMNfPnAyNHKn4dHo/dOZ6RwQbAtravNuNoEtr+PVEVdORRSdzW9bH7eiBZP8naM7LJ0T5//nwUFBTIPNezZ081W0N5V3Sp35aVvQoclbP2UT7m5sC//wKHDil+DW9vtla2hweQl8f+7NGDnY7XNHTpe6JM6Mijknjvvfe4NoFTSNZPsvaWpuRo37lzJ/7880+8ePFC4rhQKMShQ4dw/PhxjiyjKIKu9FseDwgOZv8tWvPYuDHw8qVi1zMwYHNHvk6zZkBVFRAZ+W4JwkVJzm1tgb172R3jfD67AWjBAuCLLzQrAbmufE+UDR15pFAolAbwv//9D/b29hg+fDiGDRsmfo0YMQK+vr5cm0chFC8voGVLYNu2V2seFQ0cAXYKXNboJZ/Pjja+a2AnSnLu4sIGjgD708UFaNGCzR9J0XzoyKOSyFZlYVEtgGT9JGt/XkqO9r1792LDhg2YM2cOjEX/64Hdbb1nzx4OLaMogq70W1HS8E2b2PQ5v/8uu528EUVTUzb1j4i6A+iikcy2bYFbt5QzIiiy18hI8rgoZ2VGxrvfQ5noyvdE2dDgUUkMHjyYaxM4hWT9JGu3eo8c7X369MGqVavQpk0bqXMbN27kwCLKu6Ar/dbKCrh6lR0ZXL8esLEBRo+WbicrcAQkA0fgVcCor8/+NDZmN8coayq5rr11/gYDnw/ExwOLFyvnPspCV74nyoZOWyuJM2fOcG0Cp5Csn2Tt8ffJ0b5v3z5cvnxZ5rmIiAg1W0N5V7S53/J4bKWZGTOA9HSguJgtV7h2LdC5MzBkiGLX7dr1MXr1YgPIefOA779np8Dnz1ee7a8nOQderXksK1PuvZSBNn9PVAlNEq4kSEsk+jok69cF7TRJeP2MHz8ejx8/RocOHSSOCwQCJCYmoqSkRBmmagw0Sbhm4u3NbjgxNWV3Pj948OqcaNSwUSOgtpbd5CLa31VfAvG2bYGCAjZJePfu7C7osjJ2nePcucrVUDfJubU1O+Koqnu9K9r6PVEUmiRczTg4OHBtAqeQrJ9k7WE3yNHevn17mJiYwNLSUiJJeOfOndG8eXOuzaO8JdrYb+vuVA4PZ9/Pm8cGXAYG7PH332cDx06dXo3sAa8CxxYt2KBShKi8YZs2QP/+cVi8mF17uHgxG5iqIpirm+S8XTvV3utd0cbviTqgI48UCkXhkceGoCsjjzExMTAzM0NXGYu/PDw8sGjRonc1U6Ogz0rNY8MGNifi06fA//736t8MA1haskHYli2AmRnb/s4ddh3kpUvS19LTY3c+z50LjBjBBnE0aQCFjjyqGdKLp5Osn2TtIeHkaE9OTpYZOIrOUbQLbey3dXcq1/133Z3Kxsbs8epqNo/i2bPsCOUnn7xKwTN9OvDwIRs4ijaqWFlpp09UDfWJbGjwqCRsbW25NoFTSNZPsvYB/cjRfvjwYQhe27JaU1ODpUuXwtXVlSOrKIqijf3WygpISGADvrr/rhsA8vlsYDhuHLs+smNHdno4I4MdoRw6lB1x7NpVeqOKNvpE1VCfyIYGj0oiWJTin1BI1k+y9gePyNFeU1ODRYsWQSgUAgDS0tIwePBgHDlyBNbW1hxbR3lbtLHf1t2pPHMm++8lS9hXWRkwa9arYHDvXsl1hUuWADt2sBViOnZkp6otLdkAU5T8Wxt9omqoT2RD8zwqiY8//phrEziFZP0ka2/flhzt//77L+Lj47Fw4UIMGzYMS5cuRbdu3XD37l20b9+ea/Mob4k29ttu3dhAb8EC4Px59r2oHnT37uyoomjXsmiFhb295DWmTGGruGRksGsk6+Zw1EafqBrqE9nQ4FFJlL6eaZUwSNZPsvaqanK0N2/eHF988QUA4Ouvv8bChQvh4OCARo0a4fTp05g6dSrHFlLeBm3tt3PnsvWfRQHgl1+yx0tL2Wnr+hJ6d+0qHVCK0FafqBLqE9nQ4FFJlJeXc20Cp5Csn2TtVdW6q338+PGoqqqSea5z5864e/cuxowZI87zSINH7UJb+i2Px65RzMhgg0NbW3bEUV4A+C5oi0/UCfWJbGjwqCR69OjBtQmcQrJ+krW3a6u72lu1aoUnT57AysoK+vqSy8M7d+4s/rdAIEB6erq6zaO8I9rQb+smBLe2Zsv6OTqqLpm2NvhE3VCfyIYGj0ri6tWr6NmzJ9dmcAbJ+knWnvroKtqb66b2JUuWoGfPnmjVqlW9bQMCAtRgEUWZaHq/rZsQfO9eNgWPaHf0ggXs1LWy6k2L0HSfcAH1iWy0Ikl4TU0N/vrrLzAMAyMjI2RkZGDz5s0Sf/2XlJRg+fLlaNOmDXJzc/HXX3/hww8/lLqWqhLflpeXw8TERGnX0zZI1q8L2hVNEl5VXQ6jJm/WritJwklD132m6f22bkJwI6NXx/n8VwnBlT11rek+4QLSfKJTScLt7OzQokUL2NnZYdOmTZg/fz6++eYb8XmGYTBx4kQMHToUzs7OWLduHUaPHq3WtQp79+5V2700EZL1k6z9xm1ytVO0G03vt3WTgNelbkJwZaPpPuEC6hPZaEXweOHCBYlRxr59+yIxMRFFRUUAgLNnzyImJgZz5swBAPTr1w/GxsZwdnZWm42bNm1S2700EZL1k6x99DBytVO0G03vt1ZWQFwc8NtvwIwZ7EgkjyeZEFzZaLpPuID6RDZaETy2adMGTk5OePnyJQAgMjISvXr1QuvWrQGwwWP37t1hbGws/oyNjQ1OnTqlNhtJL2FEsn6StZNUnlCTKC4uhrm5OcLDw8XHSkpKMHv2bKxcuRLTp0/Hw4cPpT7n6uqKH3/8EXPnzsWhQ4fUaLHmoen91tSUTb/j6grk5LBT2D16AGPHvqoIo2w03SdcQH0iG63YMLNp0yaMHj0ao0ePhpOTE+zs7ODv7y8+HxMTA6vX/gwzNzdHSkoKqqur0aRJE6lr1tTUIC4urt57W1hYwMLCot52v/zyS/1CdBiS9ZOs/bMB3GrPyclBTk5Ove1qamrUYI36WLduHQoKCsTvRUt3fvzxRyxatAhxcXEYPXo07t27J16v5eHhAT8/P0RGRkIoFKJ///5o27YtJk2axJUMTtHkfsvjAZs2sTkcb9wAkpKAXr2AqCggIoKtFKPszTKAZvuEK6hPZKMVI4/Dhw/HiRMncPv2bQwePBh79uxB1zo9Jz8/H2ZmZhKfMTExgVAoRHFxscxr5ufnw8bGpt7XypUrkZycDBcXF5SVlYn/CrGzs0NxcTHc3d2RmJiITZs2ISgoCHFxcTh48CAKCgok2lZWVsLJyQmpqak4ffo0QkNDcevWLfj4+CA7O1uirUAggL29PTIzM3Hs2DHcvHkT4eHh8PPzA4/Hg6OjI6qqqiQ+k5ubC09PT9y5cwfBwcHw9/fHvXv34OrqitLSUom2z58/h5ubG5KSknDhwgVcunQJsbGx8PDwQF5enkRbPp8PJycn8Hg8nDp1CmFhYYiMjMTRo0eRlZWF7du3QygUYt68eRAKhdi+fTuysrJw9OhRREZGIiwsDKdOnQKPx4OTkxP4fL7E9fPy8uDh4YHY2FhcunQJFy5cQFJSEtzc3PD8+XOJtqWlpXB1dcW9e/fg7++P4OBg3LlzB56ensjNzZVoW1VVBUdHR/B4PPj5+SE8PBw3b97EsWPHkJmZCXt7ewgEAonPZGdnw8fHB7du3UJoaChOnz6N1NRUODk5obKyUqJtQUEBDh48iLi4OGzevBkBAQFITEyEu7s7iouLJdqWlZXBxcUFycnJOH/+PK5cuYI7d+7g8OHDePbsmUTb6upq7Ny5E2lpafD19UV4eDhu3LiB48ePIyMjAzt27EBtba3EZ548eQJvb29ERUUhJCQEZ86cwYMHD7Bnzx5UVFRItC0sLMSBAwcQHx+PwMBAXLx4EfHx8YiM2Y8XlUXikcSQcDtUVZfj+i1n5OYnI+H+OaQ+uorM7GhEx3mhtOwZQsLtEH/vNELC7SAQ1CD0hgOKih8jNuEE0jIikJYRgdiEE3j8+DEcHBxQU1MjYcuzZ8/g5eWF6OhoXL16FefOnUNycjKcnZ1RXl4u0baoqAj79+9HfHw8Ll68iMDAQHG1l4b04/z8/AY+bRQjISEB2dnZKr2HiBs3bohLJIqob+kOn8/Hxo0bMW/ePACAvr4+pk6dijVr1kAL9kyqhNOnT3Ntgly8vNiRx+BgIDWVLTHYoQOwfDl7/Plz1dxXk33CFdQnstGK3dYAsGfPHqSnp+Po0aNo3LgxwsLC0KtXLwBs5Ydvv/0Wx48fF7ffuHEj/v77bxQUFKBNmzbi46KdRObm5rh8+XK9923oyGN8fDz69Onz9sJ0BJL164J2RXdbP82Jh6VFnze2UeVu64aOPI4bNw75+fkq2Tn8ww8/4NatW1izZg2EQiHWrl2r1OvX5eXLl5g2bRp27NiB7t2749q1axg2bBimTZuGlJQUJCYmitvOmjULCQkJuHfvHi5fvozx48cjNjYW/fr1AwCEhIRgzJgxuHPnDvr37y91L13fba3J/XbGDCAvDwgLkz43YgRbq9rXV/n31WSfcAVpPmlov9eKaesjR44gMjISZ8+exYIFCzBq1ChMmjQJDx48gKGhISwsLKRKCFVUVMDAwEBqRFKEoaGh+CGqDLKzs4n6gr0OyfpJ1v68NLve4FGVNPSPO0NDQ5XZkJ2djSZNmmD16tV4+vQpAgMDMWHCBJXcy8HBAStXrpRailPf0p2YmBgAEK8TF50HgLt378oMHkUoe4mPpqDJ/dbKik0Izuezu6tFiDbLLF6smvtqsk+4Qld8ouwlPloxbb1161ZMnz4dAPDJJ58gICAAGRkZCPv/P8usra2lpqVyc3NhY2MjVRlCVejpcZ/LjktI1k+ydpCs/f+JiIhASkoKAMDS0hLDhw9XyX14PB5yc3PxpaiYcR3qW7ojej7WbSNaC1lYWPjG+yp7iU9AQIBGLPHh8XicLPGxs7Ord4kPwxxGaSmDIUPugs9nr5+RkYcxY1JQVsbggw/CVbLE58aNGypd4hMUFKR1S3zS09Mllvjs378fRUVFEm3Ly8vh7OyM5ORknDt3DlevXkV0dDS8vLyk7K6pqYGDgwMeP36MEydOICIiAhEREThxQruW+GjFtLWZmRmOHDmCiRMnio/Z2NjAzs4O48aNw4ULFzB9+nSUlpaK/yLv0aMHbG1t8dtvv0lcS1VTMaQNbb8Oyfp1Qbu2Tls3FF2Ygp0xYwbc3d1hZmaGjIwMdOnSRTxtXd/Sna1bt8Ld3R01NTVo1IidcOLxePjwww/h6Ogoc6pdVUt8NAVN77c+PmwlGVFpwvh4dvf12LFAixaSda6Vhab7hAt0xSfKXuKjFdPWM2fOxIULF8TBY0VFBfT19TFkyBAAwMSJE9GrVy8EBQVh8uTJiImJQXV1NZYsWaI2G6OionTiC6YoJOsnWXvmkyhOp63fhZKSEhw7dgxdu3bF+PHjceLECezZsweNGjXCtGnTsGrVKq5NFHPkyBF8/fXXcpfh1Ld0RxTUlZaWiqeuKyoqAABt27Z9472VvcRHU9D0fjt3LtCxI7B5M5CWBrRqxQaPUVGqq3Ot6T7hAl3xibKX+GhF8Lhr1y6sWbMGixYtQo8ePZCfn48TJ06gefPmAAADAwMEBARg9erViIqKQk5ODkJDQ9GsWTO12fj999+r7V6aCMn6Sdb+SU/t1f7dd98BYGcxwsPD4ezsjP379+P7778Hj8eDq6srli9fzrGVLD4+PggPDxfvphYxfPhwfPnll7C2tpba7V136Y61tTUAdgpaFDzm5uYCAAYMGKAGBZqHpvdbb2+2trWpKTu6GB3NrhKxt2d3X6uizrWm+4QLqE9koxVrHo2MjODu7g4PDw+sWrUK9vb2UnWrO3ToAD8/P+zcuRPHjh1Dly5d1GrjgQMH1Ho/TYNk/SRrv31He7VnZmYiNDQUTk5O2LJlC+bMmYP58+fD1NQU/fv3V3l6n7fB09MTd+/eFb+CgoLExw8dOoTZs2cjISEB1dXV4s8kJiaK/+P76quv0LZtW0RFRUmc79mzJ3r06KFeMRqCJvdbHo8NHG1tgSdPgOHDATMz4KefgCVLgEeP2I00Li7sFPbhw8q5ryb7hCuoT2SjFcGjNkB6CSOS9ZOsXZvLE/70009IT08HwKb72r17t/hcdXU1fFWRC0VBunbtij59+ohfPXv2FB/v2rWrxNIdAFJLdwwNDfHHH3+IiyvU1tbCz88PDg4O3AjSADS534ryPLq4sEGiqM71vn2SwaKy61xrsk+4gvpENjR4VBKklzAiWT/J2rW5POHWrVtRWVkpfm9qaipx/n//+5+6TVIY0dKd06dPY926dXB1dZVaurNy5UrY2Nhg8eLFWLBgAdavX6+ylELagCb3W1GwaGTEvreyAhIS2H/XDRaVXedak33CFdQnslHKbms+n48rV66gW7du+Pjjj5Vhl8pQ1a7LiooK8RpMEiFZvy5oV3S3dXV1BZo0ebN2uttaO9F1n2lyv92wga1l/eQJO7rI47F1refMAS5cAH7+GdiyhV3z6O0NPHignDWPmuwTriDNJw3t9wqNPA4YMACTJ09GREQEKioq0L9/f0yZMgXDhw/HkSNHFDZam/H09OTaBE4hWT/J2qNidV97VlYWdu/ejTlz5mDcuHH45ptvMH/+fHh4eODZs2dcm0dREE3ut7a27M7qX39lRxe7dWOnrI8cYUsThocDlpZs4HjokPLqXGuyT7iC+kQ2Cu22rq2txYkTJ2BsbIyNGzciNTUVly9fxqhRo7B8+XL89NNPyrZT4xk3bhzXJnAKyfpJ1t69m+5qF5UadHV1BcMwaNGiBUxMTCAQCFBRUQFvb280adIEK1euhL29PdfmUt4STe633bqxQeGCBcD586/yPOrpAePGsesehw0D5s9XXuAIaLZPuIL6RDYKjTx+/fXXMDY2RkFBAVxdXfHjjz9izJgx0NfXV2kZME0mKSmJaxM4hWT9JGvPydNd7WvXroVAIMDNmzfx4sULFBcXIzMzE0+ePMHz58/x4sULhIeHo6ysDFu2bOHaXMpboun9du5cdjp60SK2lvXixUBqKhAUxNa1trdXbuAIaL5PuID6RDYKjTwWFBQgMDAQe/bsgZ6eHv7++28AbMWCEydOwNnZWZk2agUtW7bk2gROIVk/ydqNjVpybYLKqK2thYuLi9zzxsbGGDhwIAYOHIgVK1ao0TKKMtCGftu1Kxskqgtt8Im6oT6RjUIjj1u3bkVgYCCaN2+OwMBAtG/fHv7+/vj999/Rv39/ZduoFYjqxJIKyfpJ1t6kie5qz8vLQ0lJSb3tqqqqUFBQoAaLKMqE5H4rD+oTaahPZKPQyGP79u2lEmd+99134ooNJJKSkoJBgwZxbQZnkKyfZO35BSmwek83tS9evBg9e/bE6NGj0a9fP7Ru3RpmZmYwNjZGaWkp8vPzERUVhdDQULi5uXFtLuUtIbnfyoP6RBrqE9koFDzm5OTgp59+gqGhIYKCglBcXAxPT0+Ym5tj3rx5yrZRKxg9ejTXJnAKyfpJ1v7hB7qrfcSIEQgODsbGjRuxbt061NbWQk+PTTvEMAwMDQ0xfvx4+Pv7w8bGhmNrKW8Lyf1WHtQn0lCfyEahaeulS5ciNzdXXCPVzMwM69evR2RkJHbt2qVUA7UFHx8frk3gFJL1k6z9zl0frk1QKdbW1ggMDERRURHCw8Nx6tQpnD59Gjdv3kRubi4NHLUYkvutPKhPpKE+kY1CScIHDhyIiIgIODs7Y/369eLjBw8ehJ2dHbKzs5VqpDLR9cS3FIoiKJokvCHQJOHaCfWZ6uDx2BKEGRlsdRhbWzY9D4XCNSpNEj548GA0adJE6nhAQIBEuS+SIL2EEcn6SdauzeUJlUlhYSHXJlDeEq76rbc3Wy3GwwPIy2N/9ugBaMIAF8nPMnlQn8hGoeDR0tISiYmJ4vU/KSkpmDp1Ki5fvowff/xRqQZqC7///jvXJnAKyfpJ1j5iCLna63Ly5EmuTaC8JVz0Wx4PWLiQHWl88gQIC2N/zpvHJgR/9EjtJklA8rNMHtQnslEoeFyzZg3++ecf7NmzB82aNcPHH3+Mf/75B6tWrYKDg4OybdQKSF3rKYJk/SRrD4/UXe2DBw/G+++/X++rU6dOWLNmDdfmUt4SLvqtlxdgagq4uLA1qwH2p4sL0KwZW7t6xgy2tjWPp3bziH6WyYP6RDYK7bbW19fH5s2bsX79eqSlpaG6uhrdunVDs2bNlG2f1jB9+nSuTeAUkvWTrL1vb93VPn36dHh6emLixIkwMjKS2+7ly5e4ePGiGi2jKAMu+m1GBltq8PWvk58fUF4OxMWxweTVq4CjI1uicO5c9dlH8rNMHtQnslEoeBTRuHFj9OjRA8+ePYOnpyc++ugjYutA3rx5E1ZWVlybwRkk6ydZ++OsmzBrZcW1GSrh559/hqmpKeY24H9vuuNa++Ci31pZsYEhn/9q5FE0lW1oCCxfDuzaxZ7/9Vd2KrtjRyA0VD2ba0h+lsmD+kQ2Ck1bm5ubY/z48YiIiEBBQQE+/fRTbNq0CX/88Qex09adO3fm2gROIVk/ydrNTHVXe5MmTTBnzpwGtZ08ebKKraEoGy76ra0tUFrKBoZ8PnvMwwNo1AiorQV+/pk9JprKbtIEGDNGfZtrSH6WyYP6RDYKBY89e/bEpUuXMHToUPz5558oLi5GZGQk7t69i/z8fGXbqBUIBAKuTeAUkvWTrF3I6LZ2AwMDrk2gqAgu+m23buxUtLc3O6I4YgSwdy9QXQ0cPszWshbx5AkbYHbpor7NNSQ/y+RBfSIbhYLHYcOGAQDS09Ph5eWFpUuXwtraGgCITdWTk5PDtQmcQrJ+krWXlZOrnaLdcNVv584FHjwAFi0C2rUDbGyAli2BadMk23l4sD8nT5beXNOiBRtsKhuSn2XyoD6RjULBY0FBAdzc3DBp0iSYmZlhy5YtANi1AcePH1eqgdrCgAEDuDaBU0jWT7L2Th3J1U7Rbrjst127Avb2gK8vcPQou1mm7lQ2nw+cPw8wDLB4seRnjY2BPn3YNZDKhuRnmTyoT2SjUPC4c+dOVFRUYPjw4QgLC0OLFi3g7+8PX19fzJ49W9k2agXnzp3j2gROIVk/ydoT75OrnaLdaEq/lTWVbWkJpKez6XssLSXb8/lAfDy7eUbZaIpPNAnqE9koVJ5QHjdu3EDXrl1hYWGhrEsqHVWV3KqurpZZdYcUSNavC9oVLU9YW1uNRo3erJ2E8oS68B14HV0vT6hpv7NHj9ipaNGu6pEjgbFj2TWOoryQol3Y3t7s1HfdNZLKQNN8ogmQ5hOVlicUCoUIDg7G8ePHcfToUfHr+vXr+O677xQ2WptxdHTk2gROIVk/ydqv3SRH+5sepP/73//UaAlFGWhav607lW1vD4waJXtE0tubPa7swBHQPJ9oAtQnslFo5HHhwoU4LGO1rp6eHgYMGIDbt28rxThVoOt/TVMoiqDoyGND0JWRx0mTJsHf3x/6+q/+5ubz+fjtt9+wf/9+nduVSZ+VmsHrI5Lz56smcKRQABWPPD58+BCpqal4/vw5HBwcIBQKIRQK4eDgAG9vb4WN1mZIL55Osn6StYeEk6M9KysLkydPRnp6OgDgypUr+Pjjj+Hr64tuqsraTFEZ2tJvXx+RVGXgqC0+USfUJ7JRqMLMl19+KX5Y8vl8lJeXw8TEBN999x3mzZuHiIgIpRqpDdja2nJtAqeQrJ9k7QP6kaM9PDwcALBs2TIUFxcjODgYP/74I5ycnFBSUsKtcZS3huR+Kw/qE2moT2Sj0Mgjj8fDpk2bEBUVhblz52LmzJm4fPkytm/fjsTERGXbqBVcvnyZaxM4hWT9JGtP4ZGj3d/fHx4eHvjnn3+QmpqK0aNHY+fOnTAzM8MHH3zAtXmUt4TkfisP6hNpqE9ko9DI499//4358+ejadOm+OOPPzBjxgxMnjwZL1++xNatW5VsonbwySefcG0Cp5Csn2TtHdqTo93W1haNGjXCypUr8ddff6GiogIbN27EmDFj0KhRI0yaNIlrEylvAcn9Vh7UJ9JQn8hGoeCxS5cuCAsLE7+fOXMmJk2aBKFQCBMTE6UZp00UFxdzbQKnkKyfZO2VleRo79ixI86dO4dPP/0UAGBkZISDBw/C09MTK1euxIsXLzi2kPI2aEq/5fEAL69XG2Jsbdncj1ygKT7RJKhPZKPQtDUAXLhwQVy2p6KiAgEBAaipqVGaYdoG6f9xkKyfZO0va8jR7u7uLg4c67Jw4UIcOXKEA4so74Im9Ftvb6BHD7YUYV4e+7NHD8DHhxt7NMEnmgb1iWwUCh63bt2KyZMnizOvN2/eHOPGjcOsWbNw7949pRqoLXTv3p1rEziFZP0kazdvQ472iRMnyj33/fffq9ESijLgut/yeMDChexI45MnQFgY+3PePGDBAjZFj7rh2ieaCPWJbBQKHq9du4awsDAsWbJEfKxly5aYOnUqli5dqjTjtIl///2XaxM4hWT9JGt/+Jhc7RTthut+6+UFmJq+qh4DsD9dXIAWLdjcjq/D4wEbNgAzZrA/eTzl2sS1TzQR6hPZKBQ89unTB8OGDZNIlgsAJSUliI2NVYph2sbcuXO5NoFTSNZPsvYBfeZybQKFohBc99uMDMDaGjAykjxubAz06cOer4s6pri59okmQn0iG4WCx5qaGkRGRorfMwyDM2fOYNu2bejXr5/SjNMmXFxcuDaBU0jWT7L2G1HkaqdoN6rqtw0dHbSyAhIS2HrVdeHzgfh49nzda6pjipvkZ5k8qE9ko1B5woKCAowaNQp8Ph+tW7dGWloaCgsL8d577yE4OBg9evRQha1KgZbcolCkoeUJKa9Dffb2eHuzQZ6pKTuqmJAAlJaytajnzpXcWd2iBXvc1vbV1DWfD/z6K3udBw9eVZPZsIEdaXz6VHKkks9n610vXsxWn6FQ3hWVlids27Yt7ty5g40bN8LGxgZz5szBoUOHkJqaqpbA8erVq1i9ejX279+P5ORkAOyU+ezZs7Fy5UpMnz4dDx8+VLkddSG9hBHJ+knWTlJ5wvLycixatAg//fQTAKCoqAg7d+6USFtG0R6U3W/rGx3csUNy2vnsWfZzhw8DHTsCI0awgaC3NxtU1i1D+LZT3IpC8rNMHtQnslFo5JErGIbB2rVrUV5ejn379qFRo0bi40OGDMGPP/6IRYsWIS4uDt999x3u3bsnlXdSVX9NFxcXw8zMTGnX0zZI1q8L2hUdeXxRWYxmTd+sXVdGHm1tbREUFIShQ4fizJkz4uNTpkzB5MmTMWvWLGWZqxHo+sijsvvtm0YHLSyAsjI2iNy7V3qUccECdoTSygqYP1+6frXo2k+evNpcI7q2MkcedeFZpmxI84lKRx65YtOmTYiPj8f+/fvFgSMAnD17FjExMZgzZw4AoF+/fjA2Noazs7PabPP19VXbvTQRkvWTrP1uEjna7969i9TUVPTv31/i+JgxY/Dnn39yZBVFUZTdb980OmhqChgayt9Z3aoV4OvLBoCvB44AO5pZWsoGm6I1kqLgs6yMDTiVAcnPMnlQn8imQcGjQCBAhrLGxRUkOjoajo6O8Pb2hoGBgcS5s2fPonv37jCu8yeZjY0NTp06pTb7hgwZorZ7aSIk6ydZ+/udydH+2WefoWXLllLHb9y4gfz8fPUbRHknlN1v37QBJieHDSq//x4YPBiYMIEdTXzypGHTzt26sVPZ3t71T3G/CyQ/y+RBfSKbBgWPy5Ytw2effaZqW97Itm3bMGDAAPj4+GDUqFH4/PPPxWuNYmJi0Lp1a4n25ubmSElJQXV1tVrs4zq45hqS9ZOsvfh5BtcmqA1zc3Pk5ORAT4+dhn/+/Dl+++03nDx5Et999x3H1lHeFmX3W3mjg2PHAjU17AhhUBAQHc3+dHVl10BGR0vurJbH3LnsJppFi4B27dip6gcP2OPKguRnmTyoT2TToNrWISEhCAoKEr+/deuW3GCyvLxc6fWtX7x4gZCQEEyaNAkrVqzAhg0bMGvWLIwfPx4pKSnIz8+XShFkYmICoVCI4uJiWFhYSF2zpqYGcXFx9d7bwsJC5udf5/XRUNIgWT/J2vX1uNWek5MjLpP6JpRROnX9+vVYt24dLl68CB8fH2RkZKCqqgrfffcdXF1d3/n6FPWi7H4rGh1csAA4f56dwo6LYwPK3r2BpCTgo4+A0FBg61Z2o4yVFZCeDowa1bB7dO2q2l3VJD/L5EF9IpsGjTx+/fXX6Nu3r/i9zxuykgYHB7+zUa/z+PFjvHz5EtOmTYOpqSkMDQ2xfft2VFdXw9XVFXp6ehJT1gA71Q4AhoaGMq+Zn58PGxubel8rV65EcnIyXFxcUFZWJt55ZWdnh+LiYri7uyMxMREPHz5EUFAQ4uLicPDgQRQUFEi0rayshJOTE1JTU3H69GmEhobi1q1b8PHxQXZ2tkRbgUAAe3t7ZGZm4tixY7h58ybCw8Ph5+cHHo8HR0dHVFVVSXwmNzcXnp6euHPnDoKDg+Hv74979+7B1dUVpaWlEm2fP38ONzc3JCUl4cKFC7h06RJiY2Ph4eGBvLw8ibZ8Ph9OTk7g8Xg4deoUwsLCEBkZiaNHjyIrKwvbt2+HUChEUFAQhEIhtm/fjqysLBw9ehSRkZEICwvDqVOnwOPx4OTkBD6fL3H9vLw8eHh4IDY2FpcuXcKFCxeQlJQENzc3PH/+XKJtaWkpXF1dce/ePfj7+yM4OBh37tyBp6cncnNzJdpWVVXB0dERPB4Pfn5+CA8Px82bN3Hs2DFkZmbC3t4eAoFA4jPZ2dnw8fHBrVu3EBoaitOnTyM1NRVOTk6orKyUaFtQUICDBw8iLi4Ojx49QkBAABITE+Hu7o7i4mKJtmVlZXBxcUFycjLOnz+PK1eu4M6dOzh8+DCePXsm0ba6uho7d+5EWloafH19ER4ejhs3buD48ePIyMjAjh07UFtbK/GZJ0+ewNvbG1FRUQgJCcGZM2fw4MED7NmzBxUVFRJtCwsLceDAAcTHxyMwMBAXL15EfHw8ImP240VlkXj3dEi4Haqqy3H9ljNy85ORcP8cUh9dRWZ2NKLjvFBa9gwh4XZoYWKBkHA7CAQ1CL3hgKLix4hNOIG0jAikZUQgNuEENq1Kw4QxO7Br60uMH7kNe7YxGD9yG7b+9hTTvzuMlYui8PNPVzB3+lmsX34f347bA/tNZRJt7TYU4vuJ+7B2yV0smBWABbMvYu2Su1i4cGGD+rEyppWNjIzg4uKC69evw8nJCSdPnsSDBw9w6NAhNG7c+J2vT1EvDRkUeFteHx3s0YNd7/jVV0CzZsDDh2wA+M8/AMOwgWOzZoCmFDFRhU+0HeoT2TRot/W+fftw584ddOrUCQYGBggICMA333wj1a6yshLnz59Xepqc27dv47PPPkNwcDC++uor8fFOnTrhk08+QWpqKrp3746LFy+Kz61YsQLu7u54+fKlRCUc0U4ic3NzXL58ud57N3Tk8eDBg1i8ePFbKtMdSNavC9oV3W19685BfPYpd9qnL8ht0MjjuHHjkJ+f/1Y7h7OysuptIxQKcfv2bZSVlan8O5Cbm4ulS5fi33//Rdu2bbFmzRr88ssv4vOZmZlYt24dOnTogIKCAuzatQvt27cXn2cYBps2bUJ+fj4qKysxffr0N9br1vXd1urotzNmsGl52rVjE3/zeOzGmRYtgMJCNoD86CN23aMm7MvQhWeZsiHNJw3t9w2atl6yZAmOHDkiHiXLz8+Ht7e3VDs+n4+CggLFrZZDx44dAbBb5uvSrl07mJmZwdraGtnZ2RLncnNzYWNjI1VCUYShoaFSq+FMnjxZadfSRkjWT7L2T3pyq72hf9zJm4F4E0OGDGlw0NS9e3eV/wdja2uLAQMGYPLkyfD29saSJUvQvHlzzJkzB5WVlRg5ciT27duHMWPG4Pz585g4cSKioqLE024bN25ERkYGTp48icrKSnTv3h0WFhZSu8dJQR391soKuHoV+O47dkRy3jzA3Z0916ED8N577HT2l1+q3JQGQfKzTB7UJ7JpcKqen376CdeuXcOjR48wbdo0pKenS71yc3NVkrLivffewyeffILbt29LHC8uLsbIkSMxe/ZsJCQkSGyOSUxMxPfff690W+Rx8OBBtd1LEyFZP8nab9/RXe0///wzHB0d8e+//yI0NBQTJkzAwoULcenSJYSFhYlf69atkxgBVAX379+Hra0ttm7dilmzZiE4OBgfffQRPD09AQDu7u6oqqrCmDFjAACTJk1CSkoKTp48CQB4+vQpnJycYGtrCwBo2rQpxo8fj/Xr16vUbk1GHf12xAigpAQ4fZp9//Qp8PvvQK9ewPPnbP5HTYLkZ5k8qE9ko1CS8ISEBFhbW8s8V1hYiDZt2ryzYa8THByMOXPmICUlBW3atMF///2HuXPn4u7du9DX18fAgQPxxx9/YPLkyYiJicH06dORlJSEZs2aSVxH16diKBRFUGV5QlXS0ATkivT7wsJCABA/zxYuXCgO1upSU1OD4cOH4+bNmw20+u3JyclB+/btxTu9AWDVqlUICQnBvXv3MHDgQLRr1w4BAQHi859//jlatWqFwMBA7N+/H0uWLEFRUZE44bGnpycWL16M3NxcmJubS92TPivfDVGpQiMj4MUL+e0sLNiRR02YtqZQlDpt/TqiwDEzMxOxsbEwNDTEkCFD0LJlS5UEjgAwduxYuLu7Y/HixejTpw+ysrIQHBwsno4KCAjA6tWrERUVhZycHISGhkoFjqrEzs4OmzZtUtv9NA2S9ZOsPSTcDqOH6ab2159l8nZdxsXFITY2VqW2yJqar62txaBBgyAQCBAbGysukiDC3NwcMTExANh0Zvr6+mjVqpXEeYZhkJCQgNGjR8u9t7IzU2gKquy3dUsV7t3L/vTzYwPJqirA3Jyd0m7Zkp3WNjVViRlvDcnPMnnoik+UnZlCoQoztbW1+OWXX9C1a1d8//33mDRpEtq3b48//vhDkcs1mKlTp+LcuXPYvHkzPD09xWshAaBDhw7w8/PDzp07cezYMXTp0kWltrzO6tWr1Xo/TYNk/SRr//IzcrS3adMGy5YtQ0pKCiorK/H06VMcOXIEkydPxqBBg9Ruz7Vr17B69WoUFxdDIBBIlVAzMTERj57m5+ejZcuWEiOXopRqojbyUHZmioCAAI3ITPHll1+qLDPFb78lo2nTGkyffgtnzhyFvn45AAZVVQwABkZGDBITK3H1Kvs+NzdHIzJTvPfeeyrNTBEUFKR1mSlGjhwpkZli//79KCoqkmhbXl4OZ2dnJCcn49y5c7h69Sqio6Ph5eUlZXdNTQ0cHBzw+PFjnDhxAhEREYiIiMCJEyfw+PFjODg4oKamRuIzz549g5eXF6Kjo3H16lWcO3cOycnJcHZ2Rnl5uUTboqIi7N+/H/Hx8bh48SICAwMRHx+v9MwUCk1br1u3DmfPnsWvv/4KGxsbtG/fHoWFhTh79ixat26t8iDyXVDVVIyTkxPWrFmjtOtpGyTr1wXtik5bh0c6Ydjn3GlX5bT16wiFQqxduxYuLi4QPTYZhsFHH32EwMBAfPDBBwpdVxH8/f1x/fp1ODs7o7CwEG3btsXGjRvF/4kAwKxZs/DPP/+goqICEyZMQHx8vIT2kJAQjBkzBmfOnJG5PlxVmSk0BVX2W9Eu6/+vY4EJE9jE4Hp6gIEBYGbGJg5//pzdcf3110BgoEpMeSt04VmmbHTFJw0deWxoZgqFpq2jo6Ol1hN269YNgwcPxpIlSxS5pNYzYcIErk3gFJL1k6y950fkaNfX18fu3buxfPlyXLlyBRUVFfjoo48wbtw4NGqk0KNUIUpKSnD8+HFxzd3WrVujcePGKC0tlWhXUVGBtm3bAmADu+vXr0udByBuIw9lZ6bQFFTZb0W7rPl8toZ1UREbON64wSYEb90amDQJmDIFGDCAPa8JkPwsk4eu+ETZmSkUmrYeMGCA3PWEr6fMIYWEhASuTeAUkvWTrP1ZLnnau3Tpgp9//hlr167FxIkTUVNTg9raWrXcWyAQYN26dXBxcREnJtfT00Pv3r2lpptyc3MxYMAAAOw69YqKClRWVkqcb9SokU4Ghg1Blf329VKFrVuzI4zz5wMvXwIBAcCWLYBoI+9r1XU5g+RnmTyoT2SjUPBYUVGBlJQUiWMZGRlYsmQJXrxpW5kO83ptbdIgWT/J2psak6tdRHR0NPz8/NRyrw0bNmDJkiWwtLQUH8vPz8fs2bMRFRUlPlZbW4uUlBTxdPS0adNgaGiI6OhocZvExESMGTNG6eVktQVV9ltRqUJvb6BjRzaXIwCkprIjkYsWAZaW7HljY7Z8oSZA8rNMHtQnslFormXTpk0YPnw4DAwMYGpqiry8PGRlZaFt27YIEy3yIIzXyyOSBsn6SdZuaEiOdn19fYkNJ3X59NNPMXv2bJXef+PGjRAKhcjLy0NwcDBqa2sRERGBYcOGYf78+di9ezfi4uLQr18/nD9/Hj179sSUKVMAsFPTS5Ysgb+/P4YPH47y8nJcvnwZ58+fV6nNmoyq++3cucAXX7A1rJOSgOxsYOxY4OOPgSdP2FHIzEy2Dvb8+So1pcGQ/CyTB/WJbBQKHi0tLREfH4/Dhw8jPDwcHTp0wOLFi/HLL7/AVFNyDqiZhw8f4rPPPuPaDM4gWT/J2guKHqJLJzK0jxo1CjNmzJCoWiUQCHDhwgWVFyTYtWsX/v77bwDsAn4RrVq1wvbt22FoaIgrV65gy5YtsLKyQlFREYKCgiRsdXR0xOrVq/Hrr7+ipKQEhw8fJnbKGlBNv+XxAC8vICODXfdoawvY27PnfHyABQuA6GjA2hq4cgUoK2NHKLt2VaoZCkPys0we1CeyUWi3tTajqt3W2dnZeO+995R2PW2DZP26oF3R3dYlpdloZcqddnXutk5KSkJvGfOLFy5cQHp6OlatWqXQdTUVXU8Srux+K0oKbmrKBocJCey6x0OH2FFIAHj0iB2JFAWX8+drTuAI6MazTNmQ5pOG9nuF1jxSpDly5AjXJnAKyfpJ1v7fXXK0ywocAaBTp04SKXIo2oEy+23dpOBPnrApep48YWtZL1jABo0AGyja27PVZOztNStwBMh+lsmD+kQ2dOSRQqHQ8oQNQFQXui58Ph8REREwMzNDkmhXhI5An5UNZ8MGwMODrV1tZPTqOJ/PboxZvPjV9DWFosnQkUc1Q/rIA8n6SdYeEk6O9jNnziAtLQ3p6eniV3FxMSZNmoSLFy9ybR7lLVFmv83IYKeq6waOALuTuk8f9rw2QPKzTB7UJ7JRaMPMzp078cEHH4h38lHYFBokQ7J+krWPHEqOdnt7eyxbtkzqeEhIiNy8txTNRZn99vWk4CL4fCA+nh151AZIfpbJg/pENgqNPDo4OCA+Pl7mOcJmwcXs3LmTaxM4hWT9JGsPu0mO9vv378s8/umnn2LSpElqtobyrryp3/J47FT0jBnsTx7vzdd6PSk4wP789Vd2R7WmpOKpD5KfZfKgPpGNQiOP+/fvl6hUUJe9e/di5cqV72KTVjJz5kyuTeAUkvWTrL3fJ7qt/d69e7Czs0N+fj4ePnyI1NRUqTaZmZl4+fIlB9ZR3gV5/fb1XdOXLwMODmwZweHD2UCxWzfJz4iSgi9YwOZttLZmRxw1LRVPfZD8LJMH9YlsFBp59PHxwfbt22FjY4MRI0aIX59//jl+//13ZduoFURERHBtAqeQrJ9k7Y8zdFt7r1694OHhAWNjYzRv3hydO3eWeFlZWWH8+PF0zaMWIqvfvr5res4coLycPRcdDTg6At27szkbX2fuXODBA7Z6TLt27FT1gwev0vRoAyQ/y+RBfSIbhUYeLSwsUFhYiB49ekgkoRUKhcjKylKacdpEly5duDaBU0jWT7J2s1a6r71FixY4f/48jh49ioULF3JtDkVJyOq3Xl7siKOLC1sRZv58tiY1AOjpAQIB+29bW7Z6zOsjiqJUPNoKyc8yeVCfyEah4HHp0qVo2rQpunfvLnUuODj4nY3SRmpra7k2gVNI1k+ydqGQDO1NmjR5Y+BYUlKCVq1aqdEiyrsiq9/W3TW9eTMbOH74IXD7NvD990DLlsC9e+wI5ebNbL5GXYLkZ5k8qE9ko9C0db9+/VBUVISTJ08CAIqKinDmzBm8fPkSY8eOVaqB2kJubi7XJnAKyfpJ1l5eobvanz17JrG2OysrS+YrPT0df/31F4eWUhRBVr+1smIrw/D5wL//sseio9kd1PHxwEcfAVFR7PGQELWZqjZIfpbJg/pENgqveRw6dCh8/n/hR+vWrcU7DjO0JaGVkrGxseHaBE4hWT/J2jt20F3tvXv3xqJFi8Tvhw0bhi5duki9PvjgA7i4uHBoKUURZPXburumX75kp6qFQsld08bG7PGaGg6MVjEkP8vkQX0iG4WCx127duHo0aMYPHiw+JiVlRXGjBmD+dqSk0DJXLhwgWsTOIVk/SRrT0q5wLUJKiM4OBg7duwQv1+yZAn+/vtvhISEICwsTPz6999/MXXqVA4tpSiCrH4r2jXt7Q28eMFOW7dvz66FPHToVbUYhgHef1/9Nqsakp9l8qA+kY1Cax579eqFWbNmwcHBQeJ4RUUFoqOjlWKYtrF8+XKuTeAUkvWTrH3IQN3V/umnn0q8f++99zBixAi0bdtW4nhISAjNBaeFyOu3c+eym2E2bQJOnWJHGE1NgaNHgVWrgOfP2Xa7dqnNVLVB8rNMHtQnslFo5NHS0hIAoKf3qq5sYmIinJ2dZW6iIYFduvgkeQtI1k+y9vBIcrRfv35dKnAE2CBz2rRpHFhEeRfe1G+7dgX8/F4l9y4tBW7efBU4zp8PjBypehvVDcnPMnlQn8hGj1GgJExCQgLc3NxQXFyMgQMHIjY2FufPn4eRkRGCg4Px+eefq8JWpdDQot8UCkns2aadlaFWbdarvxEU7/evJwn/8MMPpdqIkoRnZ2c3+LragC4+K3k8dgo6I4PdHCMr4ffrhIayo5DPngEdOgB2droZOFIoQMP7vUIjj9bW1ti5cyf69u2L2NhYVFdXY926dXj48KFGB46qhPTi6STrJ1l7SLhua6dJwnUHb2+gRw/AwwPIywP27q1Ejx5s9Zg3lSIcOZJN1ZOZyf7U5cCR5GeZPKhPZKPQyKM2o6q/pnNzc9G+fXulXU/bIFm/LmhXdOSxrDwXLUy4067qkUcR1dXVxCUJ1+aRRx6PXZN44wb7/pNPgLNn2ZHGvXvZHdPp6bmYO7c9IiLYNY39+rFpekpL2c0x2lQZRlnowrNM2ZDmE5WOPAKAu7s7PvnkEzRv3hzt2rXD7NmzkZ6erujltB7SRx5I1k+y9vupZGivL0k4zQWnOXh7syUEPTzY8oAPHrAbXwQC4NNP2cARAE6cuI6bN4EmTdiShGFhbEnCefPYGtWPHnGrgwtIfpbJg/pENgrttt60aRP+/vtvfPnll5g9ezZMTEzA4/EwduxYBAYGolt9i0h0kD59+nBtAqeQrJ9k7ZYWfbg2QWU0tNSqQCDA3r174ezsrFqDKPUiqk0tFLK5GFu1Anr3ZkcghUI2zc7w4eyGmEePhqJlS/a8aIDF2JgtTXjuHHD4sHaXGlQEkp9l8qA+kY1CwaOnpyd++eUXuLu7Sxxfu3Yt/vzzT3h6eirFOG2iqKiIaxM4hWT9JGt/Uam72ocOHdqgTTAMw0BPT48GjyqmIZtdvLwAAwN2lHHePMDNjQ0IV6xgg0KGYaezDxxgr9OrF5CYCNRJWQxjY6BPH/Y8aZD8LJMH9YlsFAoe27ZtiylTpkgd79ChA2p0Me1+A+Dz+VybwCkk6ydZe02N7mpfsmQJ9PX10a9fPxgYGMhtV1tbi0OHDqnRMvLw9mZHFE1N2drTV68Cjo7SaxMzMoBGjdhRRnd3tkY1ACxbxgaPABAezv5s2bIcwcEWqK19lZIHYEsTxsezo5SkQfKzTB7UJ7JRKHg8fPgwLl68iBEjRkgcLyoqQkpKilIM0zZInKqvC8n6SdbetrXual+4cCEEAgHatGnzxnZJSUlwcnJSk1XkIZqKrrvZhc9nSwYuWMAm9O7alW1rZQVUVQH6+uwoo4iOHYGmTYHKSvZ6I0YAd+58gOpqYOhQtnIM8Oq6olKEpEHys0we1CeyadCGGWtra7z//vvi14wZM7Bv3z6JY++//z569OiBzz77TNU2ayTXrl3j2gROIVk/ydofpeuu9latWkkFji9evMCTJ0+QlZUl8dqwYQNHVuo+Xl7siKOLy6vNLqK1iS1asGsTRdjaskFjbS2waBEbDPL5wJIlbOAIsDuv27UDBg26ix07gMhINrgcMYINIr292RFNUUBKEiQ/y+RBfSKbBo08fvHFF8jPz0ePHj3eOH0DAEuXLlWKYdrGjz/+yLUJnEKyfpK19+9DjnY3NzesXLkSsrKbmZmZcWCRZtOQNYoNaZORwU5Vi6agRcham9itG/D332y+xuPHAV9fduNMbS17Xl8fOHOGDQxLS7vB1BSYMoUNQDMy2Knq+fPJDBwBsp9l8qA+kU2DgselS5fC1NRUXJbwTVRVVb2zUdqIq6srNm3axLUZnEGyfpK134xyxehhZGj38vLC/v370a5dO1y9ehU//PADGIaBj48PHXl8DXlrFO3s2DyKGRns1HBwMNCy5ZvXMVpZsef4/Fcjj4D8tYm//84GjKJfSePG7Caa2lrJEUVRv+3albxd1fIg+VkmD+oT2Sg1STjDMNi+fbtGO1qbE99SKKqCliesnz/++AN///03AGDjxo2ws7ODnp4ekpKSsHPnThw7dkyh62oqivqMx2MrudRdo5iUBHz9NZCdzeZV7N6dTcitp8fufBZNMf/6Kxt4PnjwKsgTXW/evFdT1/La1uXRo1cjilZWZI8oUigNRaVJwkNDQ9G7d280adIEBgYG4lejRo3w559/Kmy0NkN6CSOS9ZOsXdfLE9YlIyMDoaGhKCkpwcSJE/H777+Dz+cjMjKS6ETCPJ5keb9duyTXKHp7s9PL2dlssAiw6XGaNmVHGJcsYQM9eesYu3VjRwy9vd9ubaJoRNHXl/35ejuS+608qE+koT6RjUK7refMmYN+/fph+fLlaNKkifi4UCjUub++G8qyZcu4NoFTSNZPsvYvBpKj3dbWFpMmTcK0adNw+PBh+Pr6olmzZtDT08OECRO4No8TZE1Pl5QAH33ErlEU7ZTu3ZsNHnv1AszNgbg44PFjYPVq4MKFVwm55eVYnDuX3VWtzLWJJPdbeVCfSEN9IhuFgkd9fX0cPXpU5iJxUrOxHz9+nOgvGcn6Sdb+X+JxDCEkgBw1ahQKCwthaGgIANi7dy8mTpyI6upqfPXVVxxbp37kpdAZPJidkr53Dzhxgg0sP/yQXduYmMgGflZWgJMT4OMjGSy+Kceistcmktxv5UF9Ig31iWwUmrb+66+/cPPmTZnnKkX5EFREcXExzM3NES7K9AqgpKQEs2fPxsqVKzF9+nQ8fPhQpTbI4ssvv1T7PTUJkvWTrP0DK7K0GxkZSWScGDVqFL7++ms0aqTQ3+FajbwUOqLJp9mzgbQ0dkSyc2cgKordLDN/PrvGEWDLAMbHs8GkunMsktxv5UF9Ig31iWwUeuLNnDkTCxYsQHx8vMRxoVCIwMBA/Pfff8qwTSbr1q1DQUGB+D3DMJg4cSJ+/PFHLFq0CHFxcRg9ejTu3bsHExMTldnxOmlpaejdu7fa7qdpkKyfZO1FxWno0I5M7aQjL4VO797shpjERCA1ld3l/N9/kErIbWT0asTx2jXg4EE2cFRXjkWS+608qE+koT6RjULB4/fff49Lly7B3NwcxnVyJwiFQjx79kxpxr3OjRs3IBQKJY6dPXsWMTExCAkJAQD069cPxsbGcHZ2xubNm1Vmy+s0btxYbffSREjWT7J2AwNytZPOm1Lo5OWxo4sMA3h6Au+/D3z/PbB1K7vppUkTtp2+PjB2LLtJZvhw9e6IJrnfyoP6RBrqE9koNG1948YNBAUFITc3F+np6eJXZmYmnJ2dlWwiy8uXL7F7926sX79e4vjZs2fRvXt3iSDWxsYGp06dUokd8mjXrp1a76dpkKyfZO0mzcnVTjq2tuw09K+/soEgIDn1vHYtO5ro5cWuf9yzB+jfn630kpsLjB/PjkwGBcnfEa1KSO638qA+kYb6RDYKBY8TJ05Er169ZJ6bMWPGOxkkDwcHB6xcuVJidzcAxMTEoHXr1hLHzM3NkZKSgurqapXYIovY2Fi13UsTIVk/ydqfPCNXO+k0NIXO3LlsLsZFi4AuXYCVK4GHD9mgkcu8iyT3W3lQn0hDfSIbhaat3dzc4Ovri19++UXiOMMwOHjwoNKrLfB4POTm5uLLL79Exms5HPLz89GvXz+JYyYmJhAKhSguLoaFhYXMa9bU1CAuLq7ee1tYWMi9Rl0mTZpUbxtdhmT9JGvv1Z1b7Tk5OcjJyam3XU1NzTvf69KlSwDYJLqffPIJvLy84OLigg8//BBubm4wNzd/53toGw1NoaOJVVxI7rfyoD6RhvpENgqNPHbv3h3Lli2TSBAuShKuiuoyW7ZswbZt22Se09PTk5iyBgCBQAAA4pQassjPz4eNjU29r5UrVyI5ORkuLi4oKysTJwy1s7NDcXEx3N3dkZiYiNWrVyMoKAhxcXE4ePAgCgoKJNpWVlbCyckJqampOH36NEJDQ3Hr1i34+PggOztboq1AIIC9vT0yMzNx7Ngx3Lx5E+Hh4fDz8wOPx4OjoyOqqqokPpObmwtPT0/cuXMHwcHB8Pf3x7179+Dq6orS0lKJts+fP4ebmxuSkpJw4cIFXLp0CbGxsfDw8EBeXp5EWz6fDycnJ/B4PJw6dQphYWGIjIzE0aNHkZWVhe3bt0MoFGLWrFkQCoXYvn07srKycPToUURGRiIsLAynTp0Cj8eDk5MT+Hy+xPXz8vLg4eGB2NhYXLp0CRcuXEBSUhLc3Nzw/PlzibalpaVwdXXFvXv34O/vj+DgYNy5cweenp7Izc2VaFtVVQVHR0fweDz4+fkhPDwcN2/exLFjx5CZmQl7e3sIBAKJz2RnZ8PHxwe3bt1CaGgoTp8+jdTUVDg5OaGyslKibUFBAQ4ePIi4uDisXbsWAQEBSExMhLu7O4qLiyXalpWVwcXFBcnJyTh//jyuXLmCO3fu4PDhw3j27JlE2+rqauzcuRNpaWnw9fVFeHg4bty4gePHjyMjIwM7duxAbW2txGeePHkCb29vREVFISQkBGfOnMGDBw+wZ88eVFRUSLQtLCzEgQMHEB8fj8DAQFy8eBHx8fGIjNmPF5VF4qTfIeF2qKoux/VbzsjNT0bC/XNIfXQVmdnRiI7zQmnZM4SE2yHqP0+EhNtBIKhB6A0HFBU/RmzCCaRlRCAtIwKxCSdQVPwYoTccIBDUSFy/tOwZouO8kJkdjdRHV5Fw/xxy85Nx/ZYzqqrLJdq+qCxCZMx+PM2Jx/0HF3E/NRBPc+KxcOHCBvXj/Px8uc+ChjJ58mSkpaXBysoK169fx4IFC9C2bVt8/vnnRJcnrC8Zt6bi6enJtQkaB/WJNNQnslGoPOHGjRtRWlqKvn37SqSoqK2txcmTJxEaGqo0A48cOQIDAwPMnj0bAFvloUuXLrh27RqGDRuGbt26oXv37hIVHlasWAF3d3e8fPkS+vqS8bGo9I65uTkuX75c7/0bOvJIoWgz2lqecPqC3AaNPI4bNw75+fnvVJ5w0aJF8PDwAAB89tlnyMvLw/3792FkZITNmzfL/QNXW6GlXCkU8mhov1do2nrJkiUAAEtRzoX/p7KyEgMGDFDkknLx8fFBeHg45syZI3F8+PDh+PLLL2FtbY3s7GyJc7m5ubCxsZEKHOtiaGgoNd39LtjZ2Wl0TW9VQ7J+krWHhNth9DDutDf0j7s3zUI0FFFRBD8/P0RFRcHPzw9G/5+nJjo6+p2vT1EvJPdbeVCfSEN9IhuFgsfXg0YRMTExePLkiVJzInl6eqKiokL8/tmzZ/j666/h6emJYcOG4d69e5g+fTqqq6vFm2kSExNha2urNBsawpo1a9R6P02DZP0ka//yc3K0v//++xgwYADi4+MxefJkTJ06FTweDzt37lTqbAtFPZDcb+VBfSIN9YlsFFrzqK+vL7Xe0cDAACNHjoSbm5tSDezatSv69OkjfvXs2VN8vGvXruKd30FBQQDYALa6ulo8Oqou9u3bp9b7aRok6ydZ+60YcrQvWrQI/v7+iI6OxtmzZwGwG3EWLFiAW7ducWwd5W0hud/Kg/pEGuoT2Sg08jhq1CjMmDFDYlpYIBDgwoUL+P7775VmXEMwMDBAQEAAVq9ejaioKOTk5CA0NBTNmjVTqx3ffPONWu+naZCsn2TtH3cnS7ulpaXEzIvoj9mSkhKuTHprwsLCcODAAZibm8PQ0BCOjo5Ellckud/Kg/pEGuoT2Sj0xHBycpI5NW1mZob09PR3NupNWFlZ4fU9Ph06dICfn59K71sfcXFx6NatG6c2cAnJ+knW/uRZHNq21k3tz549Q8uWLdG0aVMAQFZWlsx2AoEALi4u2LNnjzrNU4iEhATMnDkT9+7dQ5s2bfDrr7/it99+0wrblQ3J/VYe1CfSUJ/IRqFpa3lrGjt16iROC0Iabdu25doETiFZP8namzfTXe29e/fGokWLxO+HDRuGLl26SL0++OADuLi4cGhpw/njjz8watQotGnTBgAwc+ZMuLq6SuXPJQGS+608qE+koT6RjUIjj7I2o/D5fERERKBDhw7vbJQ28nrlG9IgWT/J2hsZ6K724OBgiZ3cS5YsgUAgwKeffgoDAwPx8draWhw6dIgLE9+KsrIyXL16FQ4ODuJjffr0AcMwOHv2LNauXcuhdeqH5H4rD+oTaahPZKNQ8HjmzBn069dPYs1j48aNMWnSJKxbt05pxmkTaWlp+Pzzz7k2gzNI1k+y9sKSNHTprJvaP/30U4n3CxYsQG1trXjUri4fffSRusxSmLt376K2tlainKuRkRFatGiBu3fvyv2csqtxaQok91t5UJ9Ioys+UXY1rgZNW7+ehsLZ2RnXr1/HtWvXxK8rV65g3759sLKyatCNdY1hw4ZxbQKnkKyfZO1drYZxbYLauHXrFmJiYpCYmAgA8PLyQp8+fTB16lQ0btyYY+vqR1RlR5SvUoSJiQkKCwvf+DllVuMKCAjQiGpcrVq14qQal52dncZW4yorK1NpNa6goCCtq8bVtm1biWpc+/fvR1FRkUTb8vJyODs7Izk5GefOncPVq1cRHR0NLy8vKbtramrg4OCAx48f48SJE4iIiEBERAROnDiBx48fw8HBATU1NRKfefbsGby8vBAdHY2rV6/i3LlzSE5OhrOzM8rLyyXaFhUVYf/+/YiPj8fFixcRGBiI+HjlV+NqUIWZcePGYdWqVeKEuAzDQE9PT277oUOHNujmXKCqqgnbt2/Hxo0blXY9bYNk/bqgXdEKMyHXt2P0l9xpX7VZ/nOoLsro90ZGRnB0dMRPP/2Eu3fvYvjw4Rg5ciQmTJiAxMREHD58WKHrqouzZ8/ihx9+QEhICEaNGiU+bmlpib59+yIwMFCiva5X49KFfqtsqE+k0RWfNHTksaHVuBo0bc3j8XDt2jVx8Pg6Dx48wOnTp2FoaAgHBweNDh5VBcm1bQGy9ZOsfeQQcrT/+OOPWL58OQD2d96lSxdcvHhRXJ5Q0xEFdqWlpRLHKyoq3rgpQNnVuDQFkvutPKhPpNEVnyi7GleDpq23bdsGe3t7/Pnnn1Kvzp074+LFi+jYsSPCw8OxYsWKBt1Y1/j777+5NoFTSNZPsvbQCHK0v16e0N7eXqvKE/bo0QOGhoYS01KVlZUoKytTellZbYDkfisP6hNpqE9k06Bpa1nT1C9evMAvv/yCEydOYOzYsTh27JjUWhpNRFXT1kKh8I21tHUdkvXrgnZFp6251q7OaWsPDw8cOnQI8fHxmDhxIs6dOycuT+jl5QWBQKDQddXJt99+C1NTUxw5cgQAG/QOHToUaWlp6Nixo0RbVT0rNQWuv7uaCPWJNKT5pKH9vkEeeT1wjI+PR79+/eDr6ws7OzsEBQVpReCoSuzt7bk2gVNI1k+y9tAb5GivW57w3LlzALSvPOGmTZsQGhqKyspKAMCRI0ewYsUKqcCRBEjut/KgPpGG+kQ2b52qx9XVFevWrYOZmRlCQ0OJXN8oizlz5nBtAqeQrJ9k7f2tydJeUlKCI0eOYMuWLWjSpAk+//xzzJ8/Hy1atODatAbRv39/uLm5Yf78+WjTpg3MzMzw119/cW0WJ5Dcb+VBfSIN9YlsGjwWW1JSgm+//RYrVqzA559/jrt378oMHAsKCpRqoLYQHh7OtQmcQrJ+krU/ygjn2gS1ceTIEfTt21ecuiUrKwt79uxBz5498eDBA67NazDffvstfH194erqCjs7O6Km5OpCcr+VB/WJNNQnsmnQUyMyMhJ9+vRBUFAQtmzZgn///Rfm5uYy24qmc0jjgw8+4NoETiFZP8na27QiR/vmzZvxxRdfICUlBRkZGYiJiUFWVhZ8fX11IpUHaZDcb+VBfSIN9YlsGjRtPWzYMAgEArRp0wbXr1/HiBEjZLarrKxEQkICfv75Z6UaqQ1UV1dzbQKnkKyfZO21AnK0C4VC7NmzB926dZM4PmTIkAblQaRoFiT3W3lQn0hDfSKbBgWPHTp0wPXr1+utHsPn83UmJ9LbQup0vQiS9ZOsveIFOdqdnZ1x8+ZN9OnTR+ocn8+XeB8YGIgJEyaoyTKKIpDcb+VBfSIN9YlsGhQ8btiwoUFlB42NjbFgwYJ3tUkr0cUkum8DyfpJ1t6xAznaQ0JCEB8fj8jISBgbGwMABAIB7t+/DwCwtbUFwO7ADgsLw9OnTzmzlVI/JPdbeVCfSEN9IpsGrXmcNWtWgy/Yq1cvhY3RZgICArg2gVNI1k+y9vsPyNFeVlaG/Px85OTkID09Henp6cjKyoKJiQlMTEzExzIyMlBRUcG1uZR6ILnfyoP6RBrqE9k0KEm4LqGqxLd8Pl88GkEiJOvXBe2KJgl/WcNHY0PutKszSfjNmzfRqlUrfPzxx/W29fDwwKJFixS6j6ag60nCdaHfKhvqE2lI84lSk4RT6sfJyYlrEziFZP0ka78eSY72L774QmbgmJSUBKFQKHGM1OU72gTJ/VYe1CfSUJ/Iho48UigUhUceuUadI48AW5a1pKREIlhMSkrC6dOnxSX/dAX6rKRQyIOOPKoZOzs7rk3gFJL1k6w9JJwc7W5ubjA1NUXnzp3RpUsX8eubb77BpUuXuDaP8paQ3G/lQX0iDfWJbN66PCFFNgsXLuTaBE4hWT/J2gf1J0e7l5cX9u/fj3bt2uHq1av44YcfwDAMfHx8iE1Rps2Q3G/lQX0iDfWJbOjIo5L4559/uDaBU0jWT7L2ew/I0T527FgsXLgQ33zzDUxNTTF06FAMGzYMa9asoaMTWgjJ/VYe1CfSUJ/IhgaPSsLGxoZrEziFZP0ka+/YgRztGRkZCA0NRUlJCSZOnIjff/8dfD4fkZGRuHjxItfmUd4SkvutPKhPpKE+kQ0NHpVEXl4e1yZwCsn6SdZeXkGOdltbW0yaNAlr167FoEGDUFVVhWbNmmHp0qX48ssvuTaP8paQ3G/lQX0iDfWJbOiaRyXx8uVLrk3gFJL1k6xdICBH+6hRo1BYWAhDQ0MAwN69e/HNN9+gqqoKX331FcfWUd4WkvutPKhPpKE+kQ0NHpXEBx98wLUJnEKyfpK1tzYjS3vjxo1x4sQJ3LlzB4aGhhg5ciS+/vprrs2iKADJ/VYe1CfSaLNPeDzAywvIyACsrABbW6BbN+Vcm05bK4nr169zbQKnkKyfZO1pGeRoz8nJgbW1NX766SccOHAAfn5+mDJlCj7//HOUlpZybR7lLSG538qD+kQabfWJtzfQowfg4QHk5bE/e/QAfHyUc30aPCqJ2bNnc20Cp5Csn2Tt/T8hR/uvv/6K7t27Iy4uDtXV1Xj69Cn4fD7Wr1+PjRs3cm0e5S0hud/Kg/pEGm30CY8HLFzIjjQ+eQKEhbE/580DFiwAHj1693vQ4FFJuLm5cW0Cp5Csn2TtN6PJ0V5VVYUzZ86gT58+0NN7Vdnmm2++kXhP0Q5I7rfyoD6RRht94uUFmJoCLi6AqCy3sTH7vkUL4PDhd78HDR6VxKZNm7g2gVNI1k+y9tHDyNHeo0cPmcerq6sRFxenZmso7wrJ/VYe1CfSaKNPMjIAa2vAyEjyuLEx0KcPe/5docGjkiA9STDJ+knWTlJ5wkaNGmH//v3Iy8tDVVUVMjMzceTIEQwePBjdlLUKnaI2SO638qA+kUYbfWJlBSQkAHy+5HE+H4iPZ8+/K3oMwzDvfhntoaFFv9+W0tJSmJqaKu162gbJ+nVB+55tij0G+FWlMDbiTvuqzQ2bLlZGv3/58iV++uknnDp1SjxNzTAMRo8ejdOnT2v9d+B1VPWs1BR0od8qG+oTaTTFJ2+zc5rHYzfHzJv3auqazwd+/ZXdSPPgAdC1q+zPNrTf05FHJXH06FGuTeAUkvWTrP2/eHK0N27cGL6+vkhMTISzszP27NmDW7du4cqVKxrxnwvl7SC538qD+kQaTfDJ2+6c7tYNOHSI/VzHjsCIEYClJfv+0CH5gePbQPM8Konhw4dzbQKnkKyfZO1du5Cl/d69ezh06BDS0tLQpEkTCIVCfPzxxzAxMeHaNMpbQnK/lQf1iTRc+6Tuzum9eyVHERcsAL74QnYwOHcue+7wYXa0cvFiYP585QSOAB15VBo8Ho9rEziFZP0kay8oIkf7kSNH0LdvX7i5uSEpKQlZWVnYvXs3evTogZSUFK7No7wlJPdbeVCfSMO1T95l53TXroC9PeDry/5UVuAI0OBRaRiLfquEQrJ+krUbGpKjffPmzfjiiy+QkpKCjIwMxMTEICsrC76+vlq5I5N0SO638qA+kYZrn6hj57Qi0OBRSbRu3ZprEziFZP0ka2/WlBztQqEQe/bskdpZPWTIEHz00UccWUVRFJL7rTyoT6Th2ifq2DmtCFoRPObm5mLKlCkwNTVF165dsX//fonzmZmZmDZtGlatWoXZs2cjNzdX7TbGx8er/Z6aBMn6Sdb+NCeeaxPUhrOzM27evCnzHP+1J3tgYKA6TKK8AyT3W3lQn0jDtU9sbYHSUnaNo+gxI1rzWFbGrmPkAq3YMGNra4sBAwZg8uTJ8Pb2xpIlS9C8eXPMmTMHlZWVGDlyJPbt24cxY8bg/PnzmDhxIqKiomBgYKA2GydOnKi2e2kiJOsnWfvHH5GjPSQkBPHx8YiMjBRPZQkEAty/fx8A+5wCgJqaGoSFheHp06ec2UqpH5L7rTyoT6Th2ieindMLFgDnz7NT2PHxbOCorJ3TiqDxI4/379+Hra0ttm7dilmzZiE4OBgfffQRPD09AQDu7u6oqqrCmDFjAACTJk1CSkoKTp48qVY7Dx06pNb7aRok6ydZe3QsOdrLysqQn5+PnJwcpKenIz09HVlZWTAxMYGJiYn4WEZGBioqKrg2l1IPJPdbeVCfSKMJPpk7l83NuGgR0K4du3P6wQP2OFdofJLwnJwctG/fXqJ27KpVqxASEoJ79+5h4MCBaNeuHQICAsTnP//8c7Rq1Urm1JGuJ76lUBRB0SThXKPOJOE3b95Eq1at8PHHH9fb1sPDA4sWLVLoPpoCfVZSKOShM0nCLSwsJAJHAKitrcWgQYMgEAgQGxsrtaDV3Nwcd+/efeN1a2pqEBcXV+8rJyenQXZqYwkjZUKyfpK1c12eMCcnp0H9uKam5p3v9cUXX8gNHM+cOSPxfsGCBe98P4pqIbnfyoP6RBrqE9lofPAoi2vXrmH16tUoLi6GQCCAmZmZxHkTExMUFha+8Rr5+fmwsbGp97Vy5UokJyfDxcUFZWVl4i+SnZ0diouL4e7ujsTERHTv3h1BQUGIi4vDwYMHUVBQING2srISTk5OSE1NxenTpxEaGopbt27Bx8cH2dnZEm0FAgHs7e2RmZmJY8eO4ebNmwgPD4efnx94PB4cHR1RVVUl8Znc3Fx4enrizp07CA4Ohr+/P+7duwdXV1eUlpZKtH3+/Lk4V92FCxdw6dIlxMbGwsPDA3l5eRJt+Xw+nJycwOPxcOrUKYSFhSEyMhJHjx5FVlYWtm/fDqFQiNraWgiFQmzfvh1ZWVk4evQoIiMjERYWhlOnToHH48HJyQl8Pl/i+nl5efDw8EBsbCwuXbqECxcuICkpCW5ubnj+/LlE29LSUri6uuLevXvw9/dHcHAw7ty5A09PT+Tm5kq0raqqgqOjI3g8Hvz8/BAeHo6bN2/i2LFjyMzMhL29PQQCgcRnsrOz4ePjg1u3biE0NBSnT59GamoqnJycUFlZKdG2oKAABw8eRFxcHD7++GMEBAQgMTER7u7uKC4ulmhbVlYGFxcXJCcn4/z587hy5Qru3LmDw4cP49mzZxJtq6ursXPnTqSlpcHX1xfh4eG4ceMGjh8/joyMDOzYsQO1tbUSn3ny5Am8vb0RFRWFkJAQnDlzBg8ePMCePXtQUVEh0bawsBAHDhxAfHw8AgMDcfHiRXYdX8x+vKgsEgeDIeF2qKoux/VbzsjNT0bC/XNIfXQVmdnRiI7zQmnZM4SE22HY52sREm4HgaAGoTccUFT8GLEJJ5CWEYG0jAjEJpxAUfFjhN5wgEBQI3H90rJniI7zQmZ2NFIfXUXC/XPIzU/G9VvOqKoul2j7orIIkTH78TQnHvcfXMT91EA8zYnHwoULG9SP8/PzG/ZwUYDLly/jt99+kzimr6+Vj1aiWLt2LdcmaBzUJ9JQn8hG46etX8ff3x/Xr1+Hs7MzCgsL0bZtW2zcuFHir4NZs2bhn3/+kbnuSDQka25ujsuXL9d7PwsLC1hYWNTbztHRUeo/EJIgWb8uaFd02jrspiNGfMGd9ukLchs0OzBu3Djk5+crbQq2oKAAPj4+OHz4MB4+fAg9PT0IBIJ3vq4moevT1rrQb5UN9Yk0pPmkof1eK3ZbiygpKcHx48fh6+sLgM2/1LhxY5SWlkq0q6ioQNu2bd94LUNDQ/Tr109ptn377bdKu5Y2QrJ+krX37vEtp/dv6B93hoaGSrlfcHAwPD09ERgYiNraWgwdOhQLFy5s0B+iFM2C5H4rD+oTaahPZKM1cysCgQDr1q2Di4sLGjduDADQ09ND7969paakcnNzMWDAALXaFxsbq9b7aRok6ydZ+5Nnuq89OzsbW7duRefOnfH1118jPj4evXv3RkZGBq5du4Y1a9bAxcWFazMpbwnJ/VYe1CfSUJ/IRmuCxw0bNmDJkiWwtLQUH8vPz8fs2bMRFRUlPlZbW4uUlBR8//33arWvffv2ar2fpkGyfpK1mzTXXe1nzpzB2LFj8f7772P79u3o168fLl26hLS0NPTu3RvvvfeeuG3Pnj05tJSiCCT3W3lQn0hDfSIbrZi23rhxI4RCIfLy8hAcHIza2lpERERg2LBhmD9/Pnbv3o24uDj069cP58+fR8+ePTFlyhS12tiokVa4UmWQrJ9k7fr6uqudYRjU1NTAxMQEfn5+4lyyAKQyQFC0D5L7rTyoT6ShPpGNxo887tq1C3///TecnJwwbtw4jBs3DhMnTsShQ4cwevRomJiY4MqVK7C3t8dvv/2G4OBgBAUFqX23Y3p6ulrvp2mQrJ9k7cUluqt96tSpCA0NRXR0NP7991/88MMPOHPmjM5tjCEVkvutPKhPpKE+kY3Gh9Rr166td6t8jx49pPKsqZuhQ4dyen+uIVk/ydrft9J97d26dcPOnTtRU1ODc+fOYc6cOXjw4AHS09PRpUsXAMDt27cxePBgji2lvA0k91t5UJ9IQ30iG40fedQW1F0OUdMgWT/J2uMSydFuaGiI6dOn4+TJk/Dz88O+ffswefJk7N69G+vXr+faPMpbQnK/lQf1iTTUJ7LRujyP74qqcpcJBAIYGBgo7XraBsn6dUG7onkehUIB9PW5067O8oSyqK6uho+PDzZt2oSCggKlXVcWjo6OcHV1xYsXLzB+/Hg4OztLVNdiGAabNm1Cfn4+KisrMX36dEycOFHiGmFhYThw4ADMzc1haGgIR0dHuWu6dD3Poy70W2VDfSINaT7RmfKE2oK9vT3XJnAKyfpJ1h4aQa52AGjSpAkWL14MNzc3ld7Hy8sLt27dgoODAxYuXAg/Pz9MnTpVos3GjRuRnp4OT09PeHp6YunSpfjvv//E5xMSEjBz5kzs27cPbm5uEAgERCU/fh2S+608qE+koT6RDR15pFAoCo88cg3XI4/q4n//+x/+/PNP8Xs7Ozts3rwZaWlpeP/99/H06VO8//77CAoKwqhRowAAP//8M3g8HkJDQwEAX3/9NVq1aoXjx48DAKKiovDFF1/g0aNHsLKykrqntvuMQtFVeDzAywvIyACsrABbW6BbN+Vcm448qhnSi6eTrJ9k7aL60xTVsnDhQon3ouno4uJiAEBAQABevnwpUTXLxsYG165dQ35+PsrKynD16lWJ83369AHDMDh79qwaFGgeJPdbeVCfSKNpPvH2Bnr0ADw8gLw89mePHoCPj3rt0Pjd1trCTz/9xLUJnEKyfpK19+9LrnZ10qFDB4n3tbW1aN68OXr16gUAiImJgb6+Plq1aiVuY25uDoZhkJCQgMaNG6O2tlZijaSRkRFatGiBu3fvvvHeNTU1iIuLq9fGhpaK1BRI7rfyoD6RRpN8wuMBCxeyI4179wLGxgCfD/z6K7BgAfDFF0DXrrI/m5OTg5ycnHrvUVNT0yBb6MijkhBNDZEKyfpJ1s57TK52LgkJCcGyZctgZGQEgK221bJlS4nk5SYmJgCAwsJCcQlXMzMzieuYmJigsLDwjffKz8+HjY1Nva+VK1ciOTkZLi4uKCsrE4/Y2NnZobi4GO7u7khMTERAQACCgoIQFxeHgwcPoqCgQKJtZWUlnJyckJqaitOnTyM0NBS3bt2Cj48PsrOzJdoKBALY29sjMzMTx44dw82bNxEeHg4/Pz/weDw4OjqiqqpK4jO5ubnidaHBwcHw9/fHvXv34OrqitLSUom2z58/h5ubG5KSknDhwgVcunQJsbGx8PDwQF5enkRbPp8PJycn8Hg8nDp1CmFhYYiMjMTRo0eRlZWF7du3QygUws7ODkKhENu3b0dWVhaOHj2KyMhIhIWF4dSpU+DxeHBycgKfz5e4fl5eHjw8PBAbG4tLly7hwoULSEpKgpubG54/fy7RtrS0FK6urrh37x78/f0RHByMO3fuwNPTE7m5uRJtq6qq4OjoCB6Ph7///hvh4eG4efMmjh07hszMTNjb20MgEEh8Jjs7Gz4+Prh16xZCQ0Nx+vRppKamwsnJCZWVlRJtCwoKcPDgQcTFxSEoKAgBAQFITEyEu7s7iouLJdqWlZXBxcUFycnJOH/+PK5cuYI7d+7g8OHDePbsmUTb6upq7Ny5E2lpafD19UV4eDhu3LiB48ePIyMjAzt27EBtba3EZ548eQJvb29ERUUhJCQEZ86cwYMHD7Bnzx5UVFRItC0sLMSBAwfg7e2NwMBAXLx4EfHx8di/fz+Kiook2paXl8PZ2RnJyck4d+4crl69iujoaHh5eUnZXVNTAwcHBzx+/BgnTpxAREQEIiIicOLECTx+/BgODg6oqamR+MyzZ8/g5eUFO7tnaNr0JYYP90d6ejKcnZ1RW1uODh12oEULwNY2EkVFRdi/fz/i4+Nx8eJFBAYGIj4+HgsXLmxQP3693LM86JpHJXHr1i189tlnSruetkGyfl3Qruiax/SsW+jSiTvturDmcfny5fWO/t28eVP87xcvXmD06NG4fPkyTE1NAQATJkxAfHy8hLaQkBCMGTNGnAP3hx9+QEhIiHhNJABYWlqib9++CAwMlLqnyGfm5ua4fPlyvTq0beRRF/qtsqE+kUaTfDJjBjtVHRYmfW7ECKBdO8DXV/ZnGzryOG7cOOTn59f7rKTT1kqCz+dzbQKnkKyfZO01NeRqVxaurq5v1X7Tpk3Ys2ePOHAE2MDt+vXrEu0qKioAAG3bthWn4yktLZVq07Zt2zfez9DQUGKtpK5Acr+VB/WJNJrkEysr4OpVdqra2PjVcT4fiI8HFi+W/9mG/nFnaGjYIFvotLWSKCoq4toETiFZP8naK/nkaucCX19fWFtbY+DAgRLHra2tUVFRgcrKSvGx3NxcNGrUCP369UOPHj1gaGgoMSVVWVmJsrIyDBgwQG32axIk91t5UJ9Io0k+sbUFSkvZNY6imFa05rGsDJg/X3220OBRSVhbW3NtAqeQrJ9k7R3ak6td3Vy/fh1paWmYO3eu+JgoGJw2bRoMDQ0RHR0tPpeYmIgxY8bAxMQEZmZmGD9+PKKiosTnk5KS0LhxY6lE4qRAcr+VB/WJNJrkk27dgEOH2B3XHTuyU9WWluz7Q4fkb5ZRBTR4VBKy1gyRBMn6SdaenEqudnXy33//YcuWLejfvz+Cg4Nx+fJlHD58WJzAuG3btliyZAn8/f0BAOXl5bh8+TK2bdsmvsamTZsQGhoqHp08cuQIVqxYgY4dO6pfkAZAcr+VB/WJNJrmk7lzgQcPgEWL2DWOixez7+v8TakW6IYZJVFZWYmmTZsq7XraBsn6dUG7ohtmXr6sROPG3GnXhQ0z9cHj8TBw4ECUlJRInTt79iymTJkCgE2xsXr1aujp6aGkpARz587FyJEjJdpfuHABp06dQps2bWBqaoq//voL+vqyxxC02WcNQRf6rbKhPpGGNJ/QJOFqZvfu3VybwCkk6ydZ+/Vb5GpXF926dUNxcTEYhpF6iQJHgF3o7urqChcXFxw7dkwqcASAb7/9Fr6+vnB1dYWdnZ3cwJEESO638qA+kYb6RDZ05JGicaiyVF5DR6pIg5YnpLwO9RmFQh505FHNaFoJI3VDsn6StdPyhBRtheR+Kw/qE2moT2RD8zwqicVvSrBEANqiXxUjbMyLReLrkjayOfhT7fi9Uyivoy3PLHVCfSIN9Yls6Mijkjh//jzXJnAKyfoTk6l2CkXbIPmZJQ/qE2moT2RDg0cl8emnn3JtAqeQrL+TJdVOoWgbJD+z5EF9Ig31iWxo8KgkGlIzUpchWX9ZOdVOoWgbJD+z5EF9Ig31iWxo8KgkBAIB1yZwCsn6hQzVTqFoGyQ/s+RBfSIN9YlsaPCoJKysrLg2gVNI1m/W0oprEziDZO0U7YbkZ5Y8qE+koT6RDQ0elcSNGze4NoFTSNb/OJNqp1C0DZKfWfKgPpGG+kQ2NHhUEjNmzODaBE4hWX/f3lQ7haJtkPzMkgf1iTTUJ7KhwaOS2LdvH9cmcArJ+m/FUO0UirZB8jNLHtQn0lCfyIaWJ6RoHNpaKg/Q3iTh2upzWp5QdVCfUSjqgccDvLyAjAzAygqwtQW6dePGFlqeUM2QXsKIZP0kl+gjWTtFuyH5mSUP6hNpVO0Tb2+gRw/AwwPIy2N/9ugB+Pio9LbvDA0elcSvv/7KtQmcQrL+IYOodgpF2yD5mSUP6hNpVOkTHg9YuJAdaXzyBAgLY3/OmwcsWAA8eqSyW78zNHhUEj6a/meCiiFZf0y8D9cmcAbJ2inaDcnPLHlQn0ijSp94eQGmpoCLC2BszB4zNmbft2gBHD6sslu/M424NkBXGDVqFNcmqJXX18jl5o/U2nVz78qH75P1u68Lydop2g1pz+yGQH0ijSp9kpEBWFsDRkaSx42NgT592POaCh15VAI5OTn43//+R2wZo7LyHFy59j8iS9VR7WRqp2g3pD+zZUF9Io2qfWJlBSQkAHy+5HE+H4iPZ89rKnTkUQnk5OTg9OnTWL9+PSwsLLg2R+2Ulecg4f4ZjByyHi1MyNKvTu2aNrJL8u+dot2Q/syWBfWJNKr2ia0t4OgI/Prrq6lrPp99X1YGzJ+v9FsqDRo8UigUCoVCoaiZbt2AQ4fYzTHnz7NT2PHxbOB46BDQtSvXFsqHTltTKBQKhUKhcMDcucCDB8CiRUC7dsDixez7uXO5tuzN0JFHCkWJaNrUMoVCoVA0m65dAXt7rq14O+jII4VCoVAoFAqlwejUyGNYWBgOHDgAc3NzGBoawtHREY0avbvE+kaTnjxjz5/wZHC9w9uNPGlrOTsKhUKhUChkojMjjwkJCZg5cyb27dsHNzc3CAQC/Pbbb1ybRaFQKBQKhaJT6Ezw+Mcff2DUqFFo06YNAGDmzJlwdXVFhiZn2aRQKBQKhULRMnRi2rqsrAxXr16Fg4OD+FifPn3AMAzOnj2LtWvXcmjdm6EbLCgUCoVCoWgTegzDaH30cv36dQwbNgw+Pj746aefxMdbtWqF8ePH48SJE+JjjRs3Rk1NDfT19cWjlG/CwMAAlS/ePEArENSg4kU+mjczh4GBoeJCtBSS9VPt3Gpv2kwIgUBQb7vCwkIIhUIYGhri5cuXarBM+6n7rNS1pNE1NTXIz88Xr4+nUJ/IgkSf5OTkNOhZqRMjj/n5+QAAMzMzieMmJiYoLCyUOCb6j0YoFIo/pywqXij3etoGyfqpdm4oLXu79g0JNCksdZ+VT58+5dga1aDs/wN0AeoTaUj0SX3PSp0IHvX02B3LxsbGEscFAoHUXwtGRkaoqqqCvr6+VLApCwMDA+jr68zSUApFpxAKGzbyWFxcDKFQCCMjIzVYpRuInpUGBgYwNzfn2hwKhaIG8vPzIRAI6n1W6kTwKJpSKS0tlTheUVGBtm3bShx78eKF2uyiUCgUbYU+KykUijx0YkitR48eMDQ0lBharqysRFlZGQYMGMChZRQKhUKhUCi6hU4Ej2ZmZhg/fjyioqLEx5KSktC4cWNMnDiRQ8soFAqFQqFQdAud2G0NAP/99x++/fZbPHz4EE2bNsWSJUvQvHlz7Ny5k2vTKBQKhUKhUHQGnRh5BID+/fvDzc0N8+fPx/Lly2FmZoYdO3Yo/T6Ojo7o1KkTWrdujTlz5qCoqEiqzT///AM9PT3x6+eff5Y4f/r0acyYMQOLFi2CnZ2d0m1UJ2FhYZg6dSqWLVuGVatWoba2lmuTlEJubi6mTJkCU1NTdO3aFfv375dq891330n8nuuOfFdXV+Pnn3/GsmXLMH36dIlz2kB1dTUsLCzE2lq3bo3KykoAQGZmJqZNm4ZVq1Zh9uzZyM3NlfgswzDYuHEjFi5ciFmzZuHixYtcSKAQTFVVFfbu3YtBgwZJnSPt+1vfs4w0fwDs/ogZM2bA1NQUH3zwAY4ePSpxnkSfvDUMpcEcPnyY+fbbb5mTJ08y69evZxo1asSMGDFCqt306dOZPXv2iF8ZGRnic5cvX2Y++OADpqqqimEYhpk4cSLj7OysNg3KJD4+nmnXrh1TUFDAMAzDLF++nFm5ciXHVimHcePGMX/++Sdz/PhxZuTIkQwA5ujRo+LzDx48YH744Qfx79jDw0Pi8zNmzGA2bNjAMAzDPHv2jDE3N2cyMzPVquFdOHjwIPP777+L9V26dIlhGIZ58eIF88EHHzBXrlxhGIZhzp07x/Tv35+pra0Vf3bDhg3MjBkzxO3fe+895s6dO+oXQSGSmpoaxsvLi+nZsyfTuXNniXMkfn/f9Cwj0R8MwzArV65kAgMDmejoaGbYsGGMvr4+k5yczDAMuT55W2jw+BZs3bpV4v22bdsYAExaWpr42I0bN5i9e/fKvcbHH3/MbNy4Ufze19eXadGiBVNRUaF8g1XM+PHjmVmzZonf3759mzEwMGDS09O5M0oJ3Lt3jzlz5oz4fU1NDfPRRx8xQ4YMER9btmwZk5eXJ/PzMTExDACGx+OJj3311VeMra2t6oxWIgKBgJk+fbrMczt37mQsLS3F72tra5lmzZqJ/zN68uQJ07hxYyYkJETcZvHixTL/yKJQVMn69eulgkfSvr/1PctI8wfDMExZWRnz8OFD8fv09HQGgNhPJPpEEXRm2lodLFy4UOK9aDNOcXGx+JiDgwMcHBywaNEiPHr0SKJ9SkoK7t+/j379+omP2djYoKysDJcvX1ah5cpHVBKyrpa6JSG1GTMzM0yZMkX8vlGjRhg3bpz495yTk4PDhw9j3Lhx2L17N6qrqyU+f/bsWZiYmKBr167iYzY2Njhz5gyEQqF6RLwD/v7++OeffzB69GicP39e4tzZs2clfucGBgawtrbGqVOnAAABAQF4+fKl1Hf82rVrRCbapXCHrDx1pH1/63uWkeYPgC0e0q1bN/H71q1bo0WLFhg2bBgAMn2iCDR4fAs6dOgg8b62thbNmzdHr169ALB50Vq2bImOHTvi8OHD6N27NwICAsTtY2JiALBfVhGi5Lt3795VtflK5e7du6itrZXQYmRkhBYtWmidltcRrfWrS21trXj9VFJSEsaNG4f8/HysWbMGgwYNQkFBgbhtTEyMhF8A9vdcXl6OtLQ01Qt4R548eYJhw4YhJiYGU6ZMwZw5c8TJuGNjY2VqE/3OY2JioK+vj1atWkmcZxgGCQkJatVBodSFxO/vm55lJPpDFidPnsTx48fRpk0b6pO3gAaP70BISAiWLVsm/gu3WbNmOHbsGKKjoxEfH4+uXbtixowZyM7OBiC7jKKJiQkASJVR1HTepiSkLnDt2jWsXr0aADBmzBicO3cOWVlZ8PDwQHJyMubPny9um5+fL9MvgHb8nlesWIFLly7h2bNnWLJkCY4fPw5nZ2cUFxdDIBC88Xeen5+Pli1bSvyHpU3aKboL/f6yiJ5lpPsjPT0da9euxdKlS3Hq1Cm8fPmSeJ+8DTpRYUYZLF++vN4Rs5s3b4r//eLFCwQEBMidbu7duzdCQkLQs2dPHDt2DH/88YfMMoqi0mraVnT9bUpCajv+/v4YNWoUevbsKXFcT08PCxcuBMMwWLx4MZ4+fQpLS0vo6enJ9AugXb/nZs2awd3dHSUlJThw4AB+/PFHAG/+neuKdoru0ZBnlq5/f+s+y0SBDqn+aN++PWbMmIGMjAycOHECXbp0wYoVKwCQ65O3gQaP/4+rq+tbtd+0aRP27NkDU1NTuW3at28PW1tbZGRkAJBdRrGiogIApMooajpvUxJSmykpKcHx48fh6+srt838+fOxefNmZGZmwtLSEhYWFlKpHbT19wwAf/zxB/r164fWrVujcePGb/ydW1hY4Pr161LnAe3UTtEdSP/+vv4sI90fxsbGsLGxwdmzZzFkyBAEBgbir7/+ItonbwOdtlYAX19fWFtbY+DAgfW2ff/999GxY0cAgLW1NQBILKoVBRnaVkaRhJKQAoEA69atg4uLCxo3biy3nYGBATp37izxe3594XRubi7at2+PTp06qdRmVSD6Duvp6aF3794ytYl+59bW1qioqBDnhBSdb9SokcQCcwpF3ZD8/ZX1LCPZH68zZcoUNG7cmPrkLaDB41ty/fp1pKWlYe7cueJjb9phlZSUhJkzZwIAevXqBWtra4mE0YmJiWjTpo14p5e2QEJJyA0bNmDJkiWwtLQUH5P1uy4vL8d7770nDgxnz56N/Px8pKeni9skJiZi8uTJUovXtYH//vsPtra2AFhtdX/ntbW1SElJwffffw8AmDZtGgwNDREdHS1uk5iYiDFjxojXBVEoXEHq91fes4xUf7xOVVUVhgwZAoDc78hbw2WeIG3jzp07zNChQ5nLly8zly9fZi5dusQcOnRInBj7woULzPz585mcnByGYRjmxIkTjIuLi8Q1/P39GWtra0YgEDAMwyZwdXd3V68QJXHnzh3G0tKSefHiBcMwDPPLL78wv/32G8dWKYc//viDWbNmjfh3ffHiRea3335jgoKCmF9++YVxc3NjamtrmbKyMubnn3+WyOnIMAwzadIkxsnJiWEYhsnKymIsLCyY7OxsLqS8FSUlJcy3334rzmH26NEjZu7cuUx1dTXDMGyOtPfee4+JjY1lGIZhTp06xQwcOFD8fWYYhlmxYgWzfPlycfvOnTuL21Mo6uKPP/6QyNfHMGR+f9/0LCPRHzk5OcyuXbuY/Px8hmHYIg6DBw9mCgsLGYYh8zuiCDpT21rV8Hg8DBw4ECUlJVLnzp49iylTpiAiIgI//vgjiouL8dlnn2HZsmWYMGGCVPuDBw/i1q1baNKkCT7++GPxIl1t5MKFCzh16hTatGkDU1NT/PXXX9DX1+4B7V27duG3336TOt6qVSvk5eVh06ZN2LdvH9q2bYsvv/wSdnZ2En/RA+xo5LJly9CmTRvk5eVhzZo16Nu3r7okKExVVRW++eYbREREoGfPnhg/fjw2b96MJk2aiNukpKRgy5YtsLKyQlFRERwdHSVSW9TU1GD16tXQ09NDSUkJ5s6di5EjR3Ihh0Io586dw9atW5GcnAwnJyfMnDlTnBaNpO9vfc8yQ0NDovwBsDNkkyZNQnFxMUaMGIFOnTph7dq14mVHAFnfEUWhwSOFQqFQKBQKpcFo9xARhUKhUCgUCkWt0OCRQqFQKBQKhdJgaPBIoVAoFAqFQmkwNHikUCgUCoVCoTQYGjxSKBQKhUKhUBoMDR4pFAqFQqFQKA2GBo8UCoVCoVAolAZDg0cKhUKhUCgUSoOhwSOFQqFQiOPWrVuYOXMm9PT00KlTJ4wfPx4ff/wxvvnmG9y9e/edr9+3b1/s2bNHCZa+maqqKlhaWuLcuXNKve7Tp0+xadMmcWUedd4/KysLGzZsQNu2bZVyvcDAQEycOBELFixQyvUoNHikUHSSP//8E1ZWVhg6dCiKioq4NodC0Tg+++wzbNq0CQCwZcsWXLp0CdHR0cjLy8PQoUORkpLyTtcfM2YMPv74Y2WY+kaaNGmCsWPH4v3331fqdfX09FBeXo6CggKJ4+Xl5cjIyKj3/klJSQrf29DQEFVVVSgsLFT4GnUZMGAA7t+/j9raWqVcj0KDRwpF50hISMCsWbPA4/Ggp6eHY8eOcW0ShaKRNG3aVOJ98+bNsWXLFlRUVGDv3r3vdG0HBweMGTPmna7REPT09HD48GH07dtXqdft0KEDPvnkE6nj7u7uEsGjrPtnZGTA3d1d4XtbWFigd+/eCn/+dczNzSVqV1PeHRo8Uig6hrW1NT788EMYGhrCxsYGXbt25dokCkVrEPWX7Oxsji3hHgMDA4n3oaGh2LJlyxs/U1JSgilTpqCqquqd7q2vr9zwRNnXIx3qTQpFRykvL4eBgQEmTJjAtSkUitaQnp4OAOjevbv42NmzZ7F69Wp89dVXGDhwIG7fvg2hUIiAgAB89dVX+Ouvv7BmzRqYmpri2rVrCAwMFB8X8e+//2LGjBnYsGED+vbtC1dXVwBATk4Otm7dig4dOuDp06cYOnQoTE1NMWfOHLx48QIAIBAIsGbNGmzZsgUTJ06Enp4eKioqUFNTg5MnT2Lw4ME4cuSI+F52dnbYuHEjZs6cCQMDA9y7d0+m1qqqKvz8889Yv349pkyZglGjRuHJkycy2z558gRHjhxBTU0Ndu/ejaVLl8q8/4EDB5CTk4Pbt2/j559/RkxMDBYvXgw9PT2Eh4cDAPz8/GBqaoq5c+eKr19ZWYlly5Zh2bJlmDlzJvz8/KRsOHjwIFavXo0hQ4Zg5MiRePDgQX2/Tpnk5OTg/fffx4QJE+Dn54cnT55g48aNaNeuHUpKSjBr1iy0aNEC48ePB5/Px+HDh2FpaQkLCwuEhIQodE+dg6FQKDpHSUkJM2/ePMbAwIA5evQo1+ZQKBpJeno6A4Dx9PRkGIZhSktLmYEDBzItW7ZksrOzGYZhmPDwcGbv3r3iz8yfP59p3bo18/z5c+b27duMkZERM2jQICYwMJCxtbVl7t27x8TExDBGRkbMn3/+yTAMw1RWVjJNmzZlrly5wjAMwxw8eJDR19dnysrKmKdPnzLLly9nADB//vknExMTw9jb2zMAmDVr1jAMwzAnT55kVq1aJbbh22+/ZcrLy5nKykomJCSEAcB4e3szDMMwt27dYr777jtx25UrVzJJSUky9W/dupUZPHgwwzAMIxAIGEtLS+a3334Tn/f29mbqhgkif127dk2s6/X7MwzDfPnll8xPP/0kfp+WlibxOYZhmCFDhki0+e677xgHBweGYRhGKBQyX331lcS9fXx8mAsXLohtHTNmDNOtWzdGKBTK1PY6dW06c+aM2LcMwzDZ2dnMkiVLGACMm5sbk5GRwQQGBjIAmBkzZjD+/v5MQUEBM378eKZnz54Nup+u04ijmJVCoaiQli1bwsvLC4MHD8aePXswZ84crk2iUDSWS5cuITs7G6mpqRg8eDDOnj0rXiP3119/oU+fPtixYwcAwNjYGH369EFWVhYGDRqEtm3bYtCgQfj666/x9ddfi6/Zpk0b8b8NDQ0xdepU2NjYAADat28PoVCIkpISdOrUSbxecP369TA2Nsann36KoKAgeHp6YteuXcjJycHp06cxZ84c9O3bF+vXr4ehoSGaNGmC4cOHS2jJycnBv//+i9DQUIwcORJLly6FkZGRTN19+vRB+/btxe/bt2//VptUjI2Npe4vC1lTxnWPXb9+Hf7+/jh69CgAdh3lt99+iytXrojb/PXXX5g3b554I9N7770HgUCAgoKCeneE1+X06dO4c+cOdu3aJT7WsWNH8e9g6dKlAIDOnTvD3NwcH374Ib799lsAwDfffINly5Y1+F66DA0eKRQd5ocffoCnpyfXZlAoGs348ePlpnFJSkrC9u3bMWjQIJnn9fX1YWpqKnW87nrBRo0awdvbG7dv38bFixdRWloKABAKhQDYYAlggzERI0aMwM2bN1FQUIBZs2bBw8MD/fv3x9SpU7F9+3Y0adJE6j4AMHbsWPTq1QujRo3CV199hR07dshd9zxp0iRUVFTA2dkZz58/x4sXL8Q2NZTX768Ily5dQuvWrdG8eXPxsboBb2VlJR4/fowFCxZIBLtvS3JyMk6cOCFz6rlRI+lwqO7vA2B3ltMd2yx0zSOFomNUVVWJF6vzeDxMmzaNY4soFO2luroasbGxEseEQiGKi4vf6jorVqzA+fPnsW3bNvzwww/1theNpjVp0gTt2rXD3bt38b///Q+BgYGwtrZGfHy8zM81bdoUN27cgLu7O+Li4vDpp58iODhYZtvExERxkLl161a0a9furTQpi4qKCpSVlckNXKurqwFA6vfw4sUL8Pn8Bt+nZ8+emDhxImbPnq20NECkQoNHDeTUqVM4ffo012a8NTExMTAzM5O74FpRiouL4eDggM6dO0ukiFDH/QsKCvD333+jU6dOb7y3sqmqqsLevXvljnaEhYVh6tSpWLZsGVatWiXx1/DZs2fRs2dPbNy4Ebdu3cKqVasafN//a+/eg6Iq3ziAf1kVmRGIUDCUa4oXtBFKFAe8RyhBo2ZeEANHpVxJhwrFVkYlHS1FAxkCEQS8rGIJog6OI96gUTMlRFRWQlQy0ASUBYRleX5/MJxgL7CQP8F8PjMO7Hnf85xnAXeeffec52RnZ8PHxwfTpk3718+Bsf+CESNGYNu2baiqqhK2HTp0CHK5XOcYp0+fRmRkJNavX9/mSp1SqRS+Ly0txciRI2FsbIy0tDQYGBhg7dq1yMvLg5GRERISEjTGyMzMRHV1NcRiMW7evInhw4cjOjpa41yxWIzx48dj+PDhOj2P5hXSjs7T19cHgFaFXmNjo1AsDh06FAqFAufPn1eL1djYiDfffBMWFhb49ttvoVAohLHdu3frnFPLfUQiEfz9/UFEHdqX/YOLx24oNjYWu3fv7uo0OszCwgLTpk2DiYnJC42rVCohEolw//59tbGWjWi1Hf/fNKsFmt75v8y2HQ0NDZBKpdi1axdKS0vVxnNzc+Hj44Po6GhERUVBqVQiODhYGPf19UVRURE2bdqElStXdqhFhYODA0pKSv51mw3GXgXNxUxNTY3WOSEhISguLoaLiwsiIiIQGhqK8+fPw9raGkBTcdO8MtaSUqkUisHm/0/Jycm4fv069uzZA6DptSk3N1fYp/m1qqGhASkpKQgNDQUA3L59G/v37wcA2NraYsyYMRgyZIhwnJZfHz9+jMjISABN511OmTJFmKvq+fPnOHXqFGQyGZKTk1FUVISysjKcPn1aY+w+ffoAAAoKCpCZmQm5XK42p3leYWEhnjx5ggsXLqB///4wNDTE/v37cfPmTYSHh6OkpAQymQyFhYVYuHAh+vbtC7FYjNu3b6OmpkbI4fz586iurkZISAguX76MCRMmIDo6GkFBQaisrISBgQHOnDkDW1tbHDhwQOvvsfn3YWpqin379iEjIwNbt25tNa76PFoWuACEYrPlnNdWV1+xw1orKCggExMTEolEVFxc3NXpdBunT58mAHT37l1hW2VlJc2ZM6fN/XSZ057MzEy1Y78Mq1evJhsbG7Xtnp6etGDBAuHxxYsXqUePHi8sv4ULF9LEiRNfSCzGuqtffvmF5s+fTwBo1KhRdPDgQa1X7sbExJC1tTW98cYb5O/vT3K5nBoaGigyMpJEIhFZW1vT0aNHhfk//vgjiUQicnR0pCtXrlB9fT15eXmRkZER+fj40M2bN8nU1JR8fX1JoVAIVzWvXLmS1q9fT3PmzKGYmBgh3ubNm6lnz57k6+tLq1evpi+//JIaGhqotraWwsLCCAC9//77dOvWLZJKpQSAZsyYQRKJhAICAkgul2t8XidOnCAzMzMaPHgwpaWlUXBwMA0YMIDOnTtHt2/fpilTphAACgsLo4qKCiIiWrJkCZmYmFBUVJTG4zfH7devH02fPl04dlxcHBkbG9M777xDOTk55OHhQZ9++in99ttvRER0+fJlcnJyIn19ffLw8KANGzaQs7Mz7du3j+rr66mxsZHCwsLI3Nyc+vXrR1999RUpFAoiIkpNTSUzMzNycXHR+DwTExPJ0NCQrK2tKSMjgx4+fEiWlpYkEolo3bp1lJ2dTZMnTyYAtHHjRnr8+DHt3LmTRCIROTk50YULF+jq1as0adIkAkAbNmyg6urqDvy1/fdw8djNfP3115SRkUE9evSg0NDQrk6n2zh79myrAq62tpY8PT3bLHJ0mdOZY78s69atUysenz59Sj179qTw8HBhW21tLYlEItq6desLOa6fnx8Xj4y9RKotcVjnBAYGdnUKrw3+2Lobqa+vR1FREaZNmwYvLy/s2bNH7QTirKwszJs3DwEBATh8+DAGDhwIKysrJCYmCnPq6uqwZs0aBAcHw8vLC7Nnz8bDhw+FcW3NanWNHxsbi1WrVmHp0qXo3bs3jh8/joqKCmzduhV2dnatzg3UNFebtvJSlZycjMLCQshkMnz++eeQSqVqx28557PPPsPOnTthaGgoNKa9fv063N3d1c6ZUSqVkEgkCAgIwOLFi7F9+/ZW47W1tVi/fj3EYjEcHR2xaNEiPHv2TGOe6enpsLKygp6eHhISElBZWQknJyd4e3tr/Bi+PTk5OWhoaEDfvn2FbQYGBjA2NkZOTk6H47WnqqoKY8eOhaurKxISEnD58mUsWrQI06dPR15eHsaPHw8jIyNIJBIoFAoEBQXB2NgYjo6OfIcOxthLc/jwYcyZM6er03h9dHX1yv5x4MABOnjwIBERZWRkEAA6ceJEqzl5eXlkY2NDo0ePpoiICLp69SpNnDiRRCIR5ebmEhHR3LlzKSoqStjn448/phEjRpBCoWizWa0u8R88eECjR48WYv/www907NgxKisrExrbNq/QaZurSXt5aVr9a7lCpun4qnOI1BvTxsfHq73jDwoKomXLlgmPAwICWsUNDAykkpISIiIqLy8nMzMzWrx4scbnRdT0cUyPHj1oy5YtVFFRQd7e3lRfX691fjNNK48pKSkEgNLT01ttt7Kyog8++KDdmLpo+TPLysoif39/IV+ZTEbvvfce2dvbU2JiIpWVldGaNWsIAIWEhNCvv/5Kd+/eJUtLSxKLxS8kH8b+6+Li4giATq8LTF1OTg7l5+d3dRqvFV557EbS09Mxa9YsAICHhwfs7OzUevSNHDkSNjY2ePvtt7FixQq8++672LVrF4Cmq8jy8vJw6NAhIQ4ASCQS5OfnY//+/W02q9Ul/qNHj/D7779DKpUCAPz9/WFpaQlzc3M4Ozu3ylXbXE3ay6s9mo6vierFI6qP7969i4iICIjFYmHbzJkzhe/v3buHY8eOYe/evdiyZQtiY2Mxfvx4jSfMNxszZgyCgoKwceNGLF++HDt27ECvXr10el6qNPWDA5pWSzsbU5usrCzEx8cjLi5OiG1vb49hw4ZhwIAB8PPzg7m5udCA3MPDA87OzrC1tYWbmxtkMtkLzYex/6Ls7Gzs3bsXQFMjbF1f89g/HB0d4eDg0NVpvFa4SXg3UVBQgFu3bmHp0qXCNhMTExw/fhxlZWWt+m/p6em1Kh6GDBkCS0tL/PHHHzh79iwAtGpaO2rUKPTs2RNXrlyBn59fm81q24vf/JGrj48PIiMjsXnzZkyaNAmAerPYtuaqaq+Jri5eRLPakydPorGxEba2tsK2ls1q8/PzYWBggJCQkA7FDQsLw5EjR1BeXo5BgwZ1Oj8LCwsAEH4+zeRyOczMzDodV9WTJ0/g6emJqKgotea5qo9VC1mg6Qr1li01GGOaubm5aWxRw1h3xiuP3URcXBx+/vlnJCYmCv/S0tKgVCpbnW+ojbm5OXr37i20EigrKxPGRCIRzMzMhNWjjjarbRlfT08PR44cgVQqRWlpKSZPnqy1rVBH5nY2rxetuXebtnf/dXV1KC4uVmsQ3F7DWblcjsGDB+PkyZPIyMjodH7Dhw9Hr1698OjRI2FbTU0Nnj17hjFjxnQ6rqq+fftiyZIlCAwMxJ07d15YXMYYY68+Lh67gefPn6OwsFBtRcra2hoTJkxAfHy8WjNT1T5TpaWlcHV1FQqIc+fOCWNEhPLyckyZMqVTzWpbxs/Pz4dMJsO8efOQn5+PqVOnCj3FVHVkrq55taRLc1hNzWpVG9W2/Dp06FAhH1WNjY1wcHBAXV0dNm3a1GosPj6+zTwkEgmSk5Ph5+eHZcuWobq6ut3cNTE1NYWnpycuXbokbMvLy4O+vj68vb07FVOb7777Dvb29pg7d26bH8szxhh7vXDx2A0kJSXBzc1N45iXlxfu3LmjtlqVn58vFJRZWVlQKpVYvHgxxo0bB3d3d0RERAiNaY8dOwYnJyd8+OGHOjer1Ra/qqoK33//PYCm22B5eXlpbVbb1lxV7eWlrRHtvXv3UFFRgVOnTuk0Z9CgQbhw4QKuXr2K1NRUpKamAmgqtqurqzF9+nQMHToU33zzDS5duoT6+nrh1l4XL16EmZkZZs6cie3bt2PBggWIiYnBrFmzhHM1NYmLi4O7uzv69++P8PBwPHv2DKtWrdI6v5lCodB4H9W1a9ciMzNTaGyclJSElStXaj2ftFldXR1cXFwwe/bsNu+s0NxMV19fHwcPHkRBQUGru9S0bH4MqBfgQNMbFm6kyxhj/1FdeLEOIyKpVEqmpqbk6upK2dnZrcZu3LghNGm1srISrsSeOHEiOTk50YoVKygkJIRmzJhBN27cEPYrLy+nhQsXkouLC4nFYlq2bBmVl5cTEbXbrLa9+BcvXiQANHXqVJJIJOTv709//fUX3b9/n+bOnUsAaMWKFfT3339rnatJW3k9ePBAiP3FF1/Qn3/+SURE165dowEDBtDYsWOpuLhY7fiqc0pLS6moqIgcHBzIxMSEtm3bRnv27CFnZ2dKSkqiuro6Imq6onjChAmkr69P48aNo4iICBo2bBhFR0dTdXU1VVRUkK+vL/Xp04fs7OwoKSlJ6+83JSWFDAwM6MiRI0REdOfOHbK3tycAtHr1aqqpqdG4308//UQjR44kkUhEO3bsoLKyslbjqampNG/ePAoMDCSJREJKpVJrDs1qa2vJ1taW3nrrLbp27ZrGOWlpaWRpaUnGxsYklUrp6dOn5OjoKPzsY2JiaODAgcL4w4cPafny5QSA5s+fTzKZjI4ePUpWVlZkZGREKSkp7ebFGGPs1aJHxDd3fNVMmjQJtra2Op0L2R3js661bds2fPLJJ7CxsenqVBhjjL2C+GNrxl4jJSUlaGxs5MKRMcZYp3Hx+ApqaGj4v7ZB+X/HZ11DLpfj2rVrCA4O7upUGGOMvcK4eHyFKJVKxMbGIjc3F2fOnEF6evorFZ91LUNDQ3z00Uc6XaXOGGOMacPnPDLGGGOMMZ3xyiNjjDHGGNMZF4+MMcYYY0xnXDwyxhhjjDGdcfHIGGOMMcZ0xsUjY4wxxhjTGRePjDHGGGNMZ1w8MsYYY4wxnXHxyBhjjDHGdMbFI2OMMcYY0xkXj4wxxhhjTGdcPDLGGGOMMZ39D8kjErM7+EB9AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 650x325 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(1, 2, figsize = (6.5, 3.25))\n",
    "plt.rc('font',family='Times New Roman')\n",
    "params = {'mathtext.default': 'regular' }\n",
    "plt.rcParams.update(params)\n",
    "\n",
    "fig.tight_layout()\n",
    "plt.subplots_adjust(wspace=0.30)\n",
    "\n",
    "axes[0].hist(x1/1000.0, bins=10, color='xkcd:periwinkle')\n",
    "axes[0].set_xlabel('Apoapsis altitude x '+r'$10^3$'+', km', fontsize=12)\n",
    "axes[0].set_ylabel('Number of cases', fontsize=12)\n",
    "\n",
    "axes[0].tick_params(direction='in')\n",
    "axes[0].yaxis.set_ticks_position('both')\n",
    "axes[0].xaxis.set_ticks_position('both')\n",
    "axes[0].tick_params(axis='x',labelsize=12)\n",
    "axes[0].tick_params(axis='y',labelsize=12)\n",
    "\n",
    "\n",
    "axes[1].plot(p1, x1/1000.0, 'bo', markersize=5, mfc='None')\n",
    "\n",
    "axes[1].set_xlabel('Periapsis altitude, km',fontsize=12)\n",
    "axes[1].set_ylabel('Apoapsis altitude x '+r'$10^3$'+', km', fontsize=12)\n",
    "\n",
    "\n",
    "axes[1].tick_params(direction='in')\n",
    "axes[1].yaxis.set_ticks_position('both')\n",
    "axes[1].xaxis.set_ticks_position('both')\n",
    "axes[1].tick_params(axis='x',labelsize=12)\n",
    "axes[1].tick_params(axis='y',labelsize=12)\n",
    "\n",
    "for ax in axes:\n",
    "    ax.xaxis.set_tick_params(direction='in', which='both')\n",
    "    ax.yaxis.set_tick_params(direction='in', which='both')\n",
    "    ax.xaxis.set_tick_params(width=1, length=8)\n",
    "    ax.yaxis.set_tick_params(width=1, length=8)\n",
    "    ax.xaxis.set_tick_params(width=1, length=6, which='minor')\n",
    "    ax.yaxis.set_tick_params(width=1, length=6, which='minor')\n",
    "    ax.xaxis.grid(which='major', color='k', linestyle='dotted', linewidth=0.5)\n",
    "    ax.xaxis.grid(which='minor', color='k', linestyle='dotted', linewidth=0.0)\n",
    "    ax.yaxis.grid(which='major', color='k', linestyle='dotted', linewidth=0.5)\n",
    "    ax.yaxis.grid(which='minor', color='k', linestyle='dotted', linewidth=0.0)\n",
    "\n",
    "    for axis in ['top', 'bottom', 'left', 'right']:\n",
    "        ax.spines[axis].set_linewidth(2)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3582b7d5",
   "metadata": {},
   "source": [
    "## Remove cases which did not capture"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "3546740c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([ 38,  72, 116, 130]),)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "del_index1 = np.where(x1 < 0)\n",
    "del_index1"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d0dd7381",
   "metadata": {},
   "source": [
    "These four cases failed to capture. Delete them from the results for plotting."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "622c0a64",
   "metadata": {},
   "outputs": [],
   "source": [
    "p1 = np.delete(p1, del_index1 )\n",
    "x1 = np.delete(x1, del_index1 )\n",
    "y1 = np.delete(y1, del_index1 )\n",
    "z1 = np.delete(z1, del_index1 )\n",
    "h1 = np.delete(h1, del_index1 )\n",
    "u1 = np.delete(u1, del_index1 )\n",
    "v1 = np.delete(v1, del_index1 )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "5f3437e1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 650x325 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(1, 2, figsize = (6.5, 3.25))\n",
    "plt.rc('font',family='Times New Roman')\n",
    "params = {'mathtext.default': 'regular' }\n",
    "plt.rcParams.update(params)\n",
    "\n",
    "fig.tight_layout()\n",
    "plt.subplots_adjust(wspace=0.30)\n",
    "\n",
    "axes[0].hist(x1/1000.0, bins=20, color='xkcd:periwinkle')\n",
    "axes[0].set_xlabel('Apoapsis altitude x '+r'$10^3$'+', km', fontsize=12)\n",
    "axes[0].set_ylabel('Number of cases', fontsize=12)\n",
    "\n",
    "axes[0].tick_params(direction='in')\n",
    "axes[0].yaxis.set_ticks_position('both')\n",
    "axes[0].xaxis.set_ticks_position('both')\n",
    "axes[0].tick_params(axis='x',labelsize=12)\n",
    "axes[0].tick_params(axis='y',labelsize=12)\n",
    "\n",
    "\n",
    "axes[1].plot(p1, x1/1000.0, 'bo', markersize=5, mfc='None')\n",
    "\n",
    "axes[1].set_xlabel('Periapsis altitude, km',fontsize=12)\n",
    "axes[1].set_ylabel('Apoapsis altitude x '+r'$10^3$'+', km', fontsize=12)\n",
    "\n",
    "\n",
    "axes[1].tick_params(direction='in')\n",
    "axes[1].yaxis.set_ticks_position('both')\n",
    "axes[1].xaxis.set_ticks_position('both')\n",
    "axes[1].tick_params(axis='x',labelsize=12)\n",
    "axes[1].tick_params(axis='y',labelsize=12)\n",
    "\n",
    "for ax in axes:\n",
    "    ax.xaxis.set_tick_params(direction='in', which='both')\n",
    "    ax.yaxis.set_tick_params(direction='in', which='both')\n",
    "    ax.xaxis.set_tick_params(width=1, length=8)\n",
    "    ax.yaxis.set_tick_params(width=1, length=8)\n",
    "    ax.xaxis.set_tick_params(width=1, length=6, which='minor')\n",
    "    ax.yaxis.set_tick_params(width=1, length=6, which='minor')\n",
    "    ax.xaxis.grid(which='major', color='k', linestyle='dotted', linewidth=0.5)\n",
    "    ax.xaxis.grid(which='minor', color='k', linestyle='dotted', linewidth=0.0)\n",
    "    ax.yaxis.grid(which='major', color='k', linestyle='dotted', linewidth=0.5)\n",
    "    ax.yaxis.grid(which='minor', color='k', linestyle='dotted', linewidth=0.0)\n",
    "\n",
    "    for axis in ['top', 'bottom', 'left', 'right']:\n",
    "        ax.spines[axis].set_linewidth(2)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "55769abe",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--------------------------------------------------------------------------------------------------------\n",
      "Parameter              |      Min.     0.13-percentile      Mean      99.87-percentile      Max\n",
      "--------------------------------------------------------------------------------------------------------\n",
      "Apoapsis altitude, km  |    57998          58638         471497          622934          626377\n",
      "Periapsis altitude, km |       36             38            179             235             241\n",
      "Peak deceleration, g   |       5.45           5.55           8.57            12.78           12.94\n",
      "Peak heat rate, W/cm2  |       1482           1485           1766            2017            2022\n",
      "Peak heat load, kJ/cm2 |        201            201            219             254             254\n",
      "Periapsis raise dV, m/s|      56.76          56.98          85.12           315.61           317.38\n",
      "Apoapsis corr. dV, m/s |     -55.49         -53.23           187.45          2276.22          2292.84\n",
      "--------------------------------------------------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "print(\"--------------------------------------------------------------------------------------------------------\")\n",
    "\n",
    "print(\"Parameter              |      Min.     0.13-percentile      Mean      99.87-percentile      Max\")\n",
    "print(\"--------------------------------------------------------------------------------------------------------\")\n",
    "print(\"Apoapsis altitude, km  |    \" + str(round(np.min(x1))) + \"          \" +  str(round(np.percentile(x1, 0.13))) +\\\n",
    "                                                                \"         \" +  str(round(np.average(x1))) +\n",
    "                                                                \"          \" +  str(round(np.percentile(x1, 99.87)))+\\\n",
    "                                                                \"          \" +  str(round(np.max(x1))))\n",
    "print(\"Periapsis altitude, km |       \" + str(round(np.min(p1))) + \"             \" +  str(round(np.percentile(p1, 0.13))) +\\\n",
    "                                                                \"            \" +  str(round(np.average(p1))) +\n",
    "                                                                \"             \" +  str(round(np.percentile(p1, 99.87)))+\\\n",
    "                                                                \"             \" +  str(round(np.max(p1))))\n",
    "print(\"Peak deceleration, g   |       \" + str(round(np.min(y1), 2)) + \"           \" +  str(round(np.percentile(y1, 0.13), 2)) +\\\n",
    "                                                                \"           \" +  str(round(np.average(y1), 2)) +\n",
    "                                                                \"            \" +  str(round(np.percentile(y1, 99.87), 2))+\\\n",
    "                                                                \"           \" +  str(round(np.max(y1), 2)))\n",
    "\n",
    "print(\"Peak heat rate, W/cm2  |       \" + str(round(np.min(z1))) + \"           \" +  str(round(np.percentile(z1, 0.13))) +\\\n",
    "                                                                \"           \" +  str(round(np.average(z1))) +\n",
    "                                                                \"            \" +  str(round(np.percentile(z1, 99.87)))+\\\n",
    "                                                                \"            \" +  str(round(np.max(z1))))\n",
    "\n",
    "print(\"Peak heat load, kJ/cm2 |        \" + str(round(np.min(h1))) + \"            \" +  str(round(np.percentile(h1, 0.13))) +\\\n",
    "                                                                \"            \" +  str(round(np.average(h1))) +\n",
    "                                                                \"             \" +  str(round(np.percentile(h1, 99.87)))+\\\n",
    "                                                                \"             \" +  str(round(np.max(h1))))\n",
    "print(\"Periapsis raise dV, m/s|      \" + str(round(np.min(u1), 2)) + \"          \" +  str(round(np.percentile(u1, 0.13), 2)) +\\\n",
    "                                                                \"          \" +  str(round(np.average(u1), 2)) +\n",
    "                                                                \"           \" +  str(round(np.percentile(u1, 99.87), 2))+\\\n",
    "                                                                \"           \" +  str(round(np.max(u1), 2)))\n",
    "\n",
    "print(\"Apoapsis corr. dV, m/s |     \" + str(round(np.min(v1), 2)) + \"         \" +  str(round(np.percentile(v1, 0.13), 2)) +\\\n",
    "                                                                \"           \" +  str(round(np.average(v1), 2)) +\n",
    "                                                                \"          \" +  str(round(np.percentile(v1, 99.87), 2))+\\\n",
    "                                                                \"          \" +  str(round(np.max(v1), 2)))\n",
    "\n",
    "print(\"--------------------------------------------------------------------------------------------------------\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "8808f519",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 675x350 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(1, 2, figsize = (6.75, 3.5))\n",
    "plt.rc('font',family='Times New Roman')\n",
    "params = {'mathtext.default': 'regular' }\n",
    "plt.rcParams.update(params)\n",
    "\n",
    "fig.tight_layout()\n",
    "plt.subplots_adjust(wspace=0.30)\n",
    "\n",
    "axes[0].axvline(x=550.0, linewidth=1.5, color='k', linestyle='dashed')\n",
    "axes[0].hist(x1/1000.0, bins=20, color='xkcd:periwinkle')\n",
    "axes[0].set_xlabel('Apoapsis altitude x '+r'$10^3$'+', km', fontsize=12)\n",
    "axes[0].set_ylabel('Number of cases', fontsize=12)\n",
    "\n",
    "axes[0].tick_params(direction='in')\n",
    "axes[0].yaxis.set_ticks_position('both')\n",
    "axes[0].xaxis.set_ticks_position('both')\n",
    "axes[0].tick_params(axis='x',labelsize=12)\n",
    "axes[0].tick_params(axis='y',labelsize=12)\n",
    "\n",
    "\n",
    "axes[1].plot(p1, x1/1000.0, 'bo', markersize=5, mfc='None')\n",
    "axes[1].axhline(y=550.0, linewidth=1.5, color='k', linestyle='dashed')\n",
    "\n",
    "axes[1].set_xlabel('Periapsis altitude, km',fontsize=12)\n",
    "axes[1].set_ylabel('Apoapsis altitude x '+r'$10^3$'+', km', fontsize=12)\n",
    "\n",
    "\n",
    "axes[1].tick_params(direction='in')\n",
    "axes[1].yaxis.set_ticks_position('both')\n",
    "axes[1].xaxis.set_ticks_position('both')\n",
    "axes[1].tick_params(axis='x',labelsize=12)\n",
    "axes[1].tick_params(axis='y',labelsize=12)\n",
    "\n",
    "for ax in axes:\n",
    "    ax.xaxis.set_tick_params(direction='in', which='both')\n",
    "    ax.yaxis.set_tick_params(direction='in', which='both')\n",
    "    ax.xaxis.set_tick_params(width=1, length=8)\n",
    "    ax.yaxis.set_tick_params(width=1, length=8)\n",
    "    ax.xaxis.set_tick_params(width=1, length=6, which='minor')\n",
    "    ax.yaxis.set_tick_params(width=1, length=6, which='minor')\n",
    "    ax.xaxis.grid(which='major', color='k', linestyle='dotted', linewidth=0.5)\n",
    "    ax.xaxis.grid(which='minor', color='k', linestyle='dotted', linewidth=0.0)\n",
    "    ax.yaxis.grid(which='major', color='k', linestyle='dotted', linewidth=0.5)\n",
    "    ax.yaxis.grid(which='minor', color='k', linestyle='dotted', linewidth=0.0)\n",
    "\n",
    "    for axis in ['top', 'bottom', 'left', 'right']:\n",
    "        ax.spines[axis].set_linewidth(2)\n",
    "        \n",
    "plt.savefig('../../../data/acta-astronautica/uranus-orbiter-probe/periapsis-vs-apoapsis-XA.png', dpi= 300,bbox_inches='tight')\n",
    "plt.savefig('../../../data/acta-astronautica/uranus-orbiter-probe/periapsis-vs-apoapsis-XA.pdf', dpi=300,bbox_inches='tight')\n",
    "plt.savefig('../../../data/acta-astronautica/uranus-orbiter-probe/periapsis-vs-apoapsis-XA.eps', dpi=300,bbox_inches='tight')\n",
    "\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "23f4a898",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 675x350 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(1, 2, figsize = (6.75, 3.5))\n",
    "plt.rc('font',family='Times New Roman')\n",
    "params = {'mathtext.default': 'regular' }\n",
    "plt.rcParams.update(params)\n",
    "\n",
    "fig.tight_layout()\n",
    "plt.subplots_adjust(wspace=0.30)\n",
    "\n",
    "axes[0].plot(y1, z1, 'ro', markersize=5, mfc='None')\n",
    "axes[0].axhline(y=np.percentile(z1, 99.87), linewidth=1.5, color='k', linestyle='dotted')\n",
    "axes[0].axvline(x=np.percentile(y1, 99.87), linewidth=1.5, color='k', linestyle='dotted')\n",
    "axes[0].set_xlabel('Peak deceleration, Earth g', fontsize=12)\n",
    "axes[0].set_ylabel('Peak stagnation-point heat rate, '+r'$W/cm^2$', fontsize=12)\n",
    "axes[0].tick_params(direction='in')\n",
    "axes[0].yaxis.set_ticks_position('both')\n",
    "axes[0].xaxis.set_ticks_position('both')\n",
    "axes[0].tick_params(axis='x',labelsize=12)\n",
    "axes[0].tick_params(axis='y',labelsize=12)\n",
    "\n",
    "axes[1].plot(z1, h1, 'go', markersize=5, mfc='None')\n",
    "axes[1].axhline(y=np.percentile(h1, 99.87), linewidth=1.5, color='k', linestyle='dotted')\n",
    "axes[1].axvline(x=np.percentile(z1, 99.87), linewidth=1.5, color='k', linestyle='dotted')\n",
    "axes[1].set_xlabel('Peak stagnation-point heat rate, '+r'$W/cm^2$', fontsize=12)\n",
    "axes[1].set_ylabel('Peak stagnation-point heat load, '+r'$kJ/cm^2$', fontsize=12)\n",
    "axes[1].tick_params(direction='in')\n",
    "axes[1].yaxis.set_ticks_position('both')\n",
    "axes[1].xaxis.set_ticks_position('both')\n",
    "axes[1].tick_params(axis='x',labelsize=12)\n",
    "axes[1].tick_params(axis='y',labelsize=12)\n",
    "\n",
    "\n",
    "\n",
    "for ax in axes:\n",
    "    ax.xaxis.set_tick_params(direction='in', which='both')\n",
    "    ax.yaxis.set_tick_params(direction='in', which='both')\n",
    "    ax.xaxis.set_tick_params(width=1, length=8)\n",
    "    ax.yaxis.set_tick_params(width=1, length=8)\n",
    "    ax.xaxis.set_tick_params(width=1, length=6, which='minor')\n",
    "    ax.yaxis.set_tick_params(width=1, length=6, which='minor')\n",
    "    ax.xaxis.grid(which='major', color='k', linestyle='dotted', linewidth=0.5)\n",
    "    ax.xaxis.grid(which='minor', color='k', linestyle='dotted', linewidth=0.0)\n",
    "    ax.yaxis.grid(which='major', color='k', linestyle='dotted', linewidth=0.5)\n",
    "    ax.yaxis.grid(which='minor', color='k', linestyle='dotted', linewidth=0.0)\n",
    "\n",
    "    for axis in ['top', 'bottom', 'left', 'right']:\n",
    "        ax.spines[axis].set_linewidth(2)\n",
    "        \n",
    "plt.savefig('../../../data/acta-astronautica/uranus-orbiter-probe/heat-rate-vs-g-load-XA.png', dpi= 300,bbox_inches='tight')\n",
    "plt.savefig('../../../data/acta-astronautica/uranus-orbiter-probe/heat-rate-vs-g-load-XA.pdf', dpi=300,bbox_inches='tight')\n",
    "plt.savefig('../../../data/acta-astronautica/uranus-orbiter-probe/heat-rate-vs-g-load-XA.eps', dpi=300,bbox_inches='tight')\n",
    "\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "d1a7fb4a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAqAAAAFlCAYAAAA08VpfAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8qNh9FAAAACXBIWXMAAA9hAAAPYQGoP6dpAABwhElEQVR4nO3deVxU9f4/8BcgyOJSLiRiLtclt3KhTDO3UsvSa4uVa4tlGebVyuxa1tebeAmVJJVcSMVdwIUEXFPJLZRARMSF64oBsikCwzLMfH5/+HN0ZD3DnM/5nDnv5+Ph44EzZ4Y374/z4niWz8eOMcZACCGEEEIIJ/ZKF0AIIYQQQrSFdkAJIYQQQghXtANKCCGEEEK4oh1QQgghhBDCFe2AEkIIIYQQrmgHlBBCCCGEcEU7oIQQQgghhCvaASWEEEIIIVzVUboAa3Nzc0NxcTEcHBzg7u6udDmEEMFkZmbCYDDA2dkZhYWFSpejOpSxhJDKSMlXO1tbCcnBwQFGo1HpMgghgrO3t4fBYFC6DNWhjCWEVKcm+WpzR0DvhaO9vT08PDyULqfW9Ho9MjMz4e7uDkdHR6XL0QTqOV+W9rusrAwAUKeOtBhLT0+H0WiEg4ODpNeRu6yRsfQZExeNjZiUGBdLMlZSvjIb4+npyQAwT09PpUuxiri4OAaAxcXFKV2KZlDP+bKk3wUFBQwAA8AKCgokfT9bywjerNE/+oyJi8ZGTLzHxdKMlZIPNncElBCiDU2aNFG6BEIIsVlyZyztgBJCVMfNzQ1ZWVlKl0EIITaJR8bSNEyEEEIIIYQr2gElhBBCCCFc0Q4oIUR1iouLMW7cOIwbNw7FxcVKl0MIITaFR8bSDighRHUMBgM2bdqETZs20VyehBBiZTwylm5CIoSojpOTExYtWmT6mhBCiPXwyFjaASWEqI6joyOmT5+udBmEEGKTeGQsnYIXnIeHBwYNGmQTqzqpBfWcL+q39tCYi4vGRky2OC42txZ8ixYt8Pfff8PT0xM3btxQuhyruHPnDho0aKB0GZpCPedLar+NRiOuX78OAGjZsiXs7Wv+f2lbzAierNU/+oyJi8ZGTDzHxdKMlZIPdARUBYKDg5UuQXOo53xJ7XdRURHatGmDNm3aoKioSJ6iiKzoMyYuGhsx8RwXHhlL14DWwKK5VR8k/vw7O1m//+DBg2V9f1Ie9ZwvS/rt6uoqQyVEDqUz6pZ7bEAOQ+mMrwAATgtLeJdEqkD5Jybe4yJ3xtIRUBU4f/680iVoDvWcL6n9dnNzQ2FhIQoLC+Hm5iZTVUROF3Jt6uovm0L5Jyae48IjY2kHVAXoFyx/1HO+qN/a4+qodAWkMvR5FJOtjQvtgKpAo0aNlC5Bc6jnfFG/taeRs9IVkMrQ51FMtjYutAOqAomJiUqXoDnUc76k9rukpASTJk3CpEmTUFJC1w+q0ZksOgUvKso/MfEcFx4ZSzugKjBs2DClS9Ac6jlfUvtdVlaGX3/9Fb/++ivKyspkqorI6aU29OtHVJR/YuI5LjwylhJABVavXq10CZpDPedLar8dHR3h4+MDHx8fODrSxYRqtDbJqHQJpBKUf2LiOS48MpYmoq8BpadhIoRYj9Ymotfr9fjhhx/AGIOzszOuXr2K7777Dq1atTJtc+vWLUydOhVNmjRBRkYGfvjhB3To0KHC97OkfxVNw/QgmoaJENtAE9HbGB8fH6VL0BzqOV/Ub/n4+PigQYMG8PHxwezZs/Hhhx/in//8p+l5xhhGjBiB/v37IyAgADNnzsSQIUOQn58va12+MQZZ359Yjj6PYrK1caEdUBX46quvlC5Bc6jnfEntN2MMWVlZyMrKgo2dxLG68PBws6OdPXr0QGJiInJycgAAW7duxcmTJzFhwgQAQM+ePeHi4oKAgABZ6/riafr1IyrKPzHxHBceGUsJoAI///yz0iVoDvWcL6n91ul0cHd3h7u7O3Q6nUxV2YYmTZrA398fpaWlAIBjx46ha9euaNy4MYC7O6AdO3aEi4uL6TVeXl4ICQmRta4l8XQNqKgo/8TEc1x4ZCztgKrAm2++qXQJmkM954v6LZ/Zs2cjLi4OQ4YMwV9//QUfHx/s2LHD9PzJkydNO6P3uLu749y5c7JOcfV6B/r1Iyr6PIrJ1saF1oJXgZMnT6Jt27ZKl6Ep1HO+pPbbzc2NTr3X0KBBg7Bx40ZMmDABffr0QWxsLNq1a2d6PjMzEz179jR7Tf369WE0GpGbmwsPD48K31ev1yM+Pr7a7+/h4YHGFTz+V7oRbR9xkPSzED4o/8TEc1weztj09HSkp6dX+zq9Xl/j70H/BVWByn4BEPlQz/mifssrLS0NkydPhpubG4YOHYqkpCTTc3Z2dman3wHAYLh7g1BV069kZmbCy8ur2j/Tp0/HuRyGpfEG3ClhppuPDlxnyC1iWHbKgMTEROzcuRNRUVGIj4/HihUrkJWVZbrpwsfHBzqdDv7+/rhw4QJCQ0Nx4MABHD9+HMHBwUhNTTXb1mAwwNfXF9euXcP69etx9OhRREdHY8uWLUhJScGCBQtQXFxs9pqMjAwEBQUhNjYWe/bswY4dO5CUlIQlS5YgLy/PbNvbt29j6dKlOHPmDMLDw7Fr1y7ExcVh5cqVuHnzptm2RUVF8Pf3R0pKCkJCQnDw4EEcO3YM69atw/Xr1zFv3jwYjUb4+PjAaDRi3rx5uH79OtatW4djx47h4MGDCAkJQUpKCvz9/VFUVGT2/jdv3sTKlSsRFxeHXbt2ITw8HGfOnMHSpUtx+/Zts23z8vKwZMkSJCUlYceOHdizZw9iY2MRFBSEjIwM07a///47iouLsWDBAqSkpGDLli2Ijo7G0aNHsX79ely7dg2+vr4wGAxm75+amorg4GAcP34cBw4cQGhoKC5cuAB/f3/odDqzbbOysrBixQrEx8cjKioKO3fuRGJiIgIDA5Gbm2u27Z07d7B48WIkJydj+/bt2Lt3L2JjY7Fq1SqkpaWZbVtSUoL58+fj0qVL2Lx5M6Kjo3HkyBFs2LABV69exY8//oiysjKz19y4cQNr1qxBTEwM9u/fj7CwMJw/fx6LFi1CQUGB2bbZ2dlYvnw5EhISEBkZiYiICCQkJGDZsmXIyckx2zY/Px8BAQFITk7Gtm3bsG/fPpw4cQKrV68uV7der4efnx8uX76MjRs34vDhwzh8+DA2btyIy5cvw8/PD02bNjV7TVpaGlavXo0TJ05g37592LZtG5KTkxEQEID8/HyzbXNycrBs2TIkJCQgIiICkZGRSEhIwPLly5GdnW22bUFBARYtWoTz588jLCwM+/fvx3fffVejz3tmZmblQfQQmoapBpSehunIkSPo16+frN+DmKOe88Wz31qbhmnt2rWIiIjA1q1bkZiYiMGDB6N+/fo4f/48HB0d0b59e3Ts2BERERGm10ybNg2BgYEoLS2Fvb35cYp7/XN3d8fu3bur/f4eHh5o7N+63ONHbxjxfIu7703TMImF8k9MSo5LTY+ADhs2DJmZmTXKVzoFrwLXrl2jMOCMes6X1H6XlJTg66+/BgD4+fmhbt2q55nUsjlz5mDBggUAgKeeego7d+5E3759cfDgQbz00kvo1q0bUlNTzV6TkZEBLy+vcjufD3J0dCx36r4ypRU8dv2OTR37sCmUf2LiOS4PZ6yHh0eNzlRJmbSedkBV4Pnnn1e6BM2hnvMltd9lZWWmO0LnzZtHO6BVyMvLM+tP79690b17dxiNd+9CHz9+PEaPHo2SkhLTdomJiZg4caKsdT3neX/nliaqFwvln5h4jguPjKVrQFVgy5YtSpegOdRzvqT229HREd988w2++eYbWoqzGmPHjkV4eLjp7wUFBbC3tzcdSRkxYgS6du2KqKgoAHdvdCgpKYG3t7esdYWdp2mYREX5Jyae48IjY+ka0BpQ+hrQsrIy1KlDB6t5op7zxbPfWrsGtLi4GF9++SX0ej06deqEzMxMfPDBB2ZLbaalpeGLL75Ay5YtkZ6ejh9++AFt2rSp8P2stRRnmZGhjn3NspOOgPJF+ScmNYwLLcVpY3788UelS9Ac6jlf1G/5ODs7IzAwECtXrsTnn38OX1/fcuu8N2/eHFu2bMH8+fOxfv36Snc+rWnBSToCKir6PIrJ1sZF7F1pAuDuRNKEL+o5X1L7zRgzrc7h6uoKOzt5z0IQ65vVm+YAFRXln5h4jguPjKUjoCpwb34uwg/1nC+p/dbpdKhXrx7q1atHS3Gq1L35QIl4KP/ExHNceGSsEEdA9Xo9fvjhBzDG4OzsjKtXr+K7775Dq1atTNvcunULU6dORZMmTZCRkYEffvih3GkkW/X+++8rXYLmUM/5on5rz4QudPxDVPR5FJOtjYsQCeDj44MGDRrAx8cHs2fPxocffoh//vOfpucZYxgxYgT69++PgIAAzJw5E0OGDEF+fr6CVfOzf/9+pUvQHOo5X1L77erqioKCAhQUFMDV1VWmqoicDlyja0BFRfknJp7jwiNjhdgBDQ8PNzva2aNHDyQmJiInJwcAsHXrVpw8eRITJkwAAPTs2RMuLi4ICAhQolzuOnXqpHQJmkM950tqv+3s7ODm5gY3Nze6/lOlOjaicRMV5Z+YeI4Lj4wVYge0SZMm8Pf3R2np3fUyjh07hq5du6Jx48YA7u6AduzY0Wy9Yi8vL4SEhChSL29aOdIrEuo5X9Rv7cmvaHkkIgT6PIrJ1sZFiB3Q2bNnIy4uDkOGDMFff/0FHx8f7Nixw/T8yZMnTTuj97i7u+PcuXMoKbH9+eFu376tdAmaQz3nS2q/S0tL8e233+Lbb781/ceVqEue7Ue3alH+iYnnuPDIWCFuQho0aBA2btyICRMmoE+fPoiNjUW7du1Mz2dmZpZbc7h+/fowGo3Izc2tcH1SvV6P+Pj4ar93Tdc3VdKTTz6pdAmaQz3nS2q/9Xo9/vvf/wIAvvnmGzg5OSE9PR3p6ek1ei1RXpcmdApeVJR/YuI5LhVlrLUJcQQUuLsSx+TJk+Hm5oahQ4ciKSnJ9JydnZ3Z6XcAMBjuTuFR2RJRmZmZ8PLyqvbP9OnTkZycjMWLF+POnTumaQ58fHyQm5uLwMBApGUkIun8TiRfiMKNtHgcj12BgsIs7I++v61Op4O/vz8uXLiA0NBQHDhwAMePH0dwcDBSU1PN3tdgMMDX1xfXrl3D+vXrcfToUURHR2PLli1ISUnBggULUFxcbHrNF198gYyMDAQFBSE2NhZ79uzBjh07kJSUhCVLliAvL8/s/W/fvo2lS5fizJkzCA8Px65duxAXF4eVK1fi5s2bZtsWFRXB398fKSkpCAkJwcGDB3Hs2DGsW7cO169fx7x582A0GuHj4wOj0Yh58+bh+vXrWLduHY4dO4aDBw8iJCQEKSkp8Pf3R1FRkdn737x5EytXrkRcXBx27dqF8PBwnDlzBkuXLsXt27fNts3Ly8OSJUuQlJSEHTt2YM+ePYiNjUVQUBAyMjLMti0uLsaCBQuQkpKCLVu2IDo6GkePHsX69etx7do1+Pr6wmAwmL0mNTUVwcHBOH78OA4cOIDQ0FBcuHAB/v7+0Ol0ZtuGhYVhxYoViI+PR1RUFHbu3InExEQEBgYiNzfXbNs7d+5g8eLFSE5Oxvbt27F3717ExsZi1apVSEtLM9u2pKQE8+fPx6VLl7B582ZER0fjyJEj2LBhA65evYoff/wRZWVlZq+5ceMG1qxZg5iYGOzfvx9hYWE4f/48Fi1ahIKCArNts7OzsXz5ciQkJCAyMhIRERFISEjAsmXLkJOTY7Ztfn4+AgICkJycjG3btmHfvn04ceIEVq9eXa5uvV4PPz8/XL58GRs3bsThw4dx+PBhbNy4EZcvX4afnx/0er3Za9LS0rB69WqcOHEC+/btw7Zt25CcnIyAgADk5+ebbbt161YsW7YMCQkJiIiIQGRkJBISErB8+XJkZ2ebbVtQUIBffvkFEyZMwCuvvILo6GjExMRg8uTJNfrMZ2ZmVh1GhIu9V+kmJFHt3r1b6RJIBXiOS506dTBt2jRMmzZNttWXhFiKc+3atYiIiMDWrVuRmJiIwYMHo379+jh//jwcHR3Rvn17dOzYEREREabXTJs2DYGBgSgtLYW9/f396HvLQLm7u9dosGpyBFTppTgLCgpQr149Wb8HMUc958sa/a7pEdBhw4YhMzNTM0txWpu1luIsKGWo50RLcYqI8k9MahgXKfkgxCn4OXPmYMGCBQCAp556Cjt37kTfvn1x8OBBvPTSS+jWrRtSU1PNXpORkQEvLy+znc8HOTo6ljttr1YBAQG0MgVn1HO+rNHvml5OU9lZE8LXkngjrYYkKMo/MdnauAhxCj4vLw91697/H3Lv3r3RvXt3GI13T9GMHz8ep0+fNrvhKDExEaNGjeJeqxJs6R+cWlDP+aJ+aw/tfIqLPo9isrVxEWIHdOzYsQgPDzf9vaCgAPb29ujXrx8AYMSIEejatSuioqIA3L0rvqSkBN7e3kqUyx0ti8Yf9Zwvqf0uLCyEnZ0d7OzsUFhYKFNVRE60FKe4KP/ExHNceGSsEKfgFy5ciC+//BIff/wxOnXqhMzMTGzcuNF0rYODgwN27tyJL774AjExMUhPT8eBAwfg5uamcOV8TJ48WekSNId6zhf1W3smPSXE8Q9SAfo8isnWxkWIHVBnZ2cEBgZWuU3z5s2xZcsWThWJZevWrTb3D0901HO+pPbb1dXVdDc7LcWpTttTjPi4G52GFxHln5h4jguPjBViB5RUrXfv3kqXoDnUc76k9tvOzg5NmzaVqRrCw7MeNA+oqCj/xMRzXHhkLJ0DUQGaKoY/6jlf1G/tuWFbqwraFPo8isnWxoWOgKqAAFO1ag71nC+p/S4tLTVN3fbVV1/JskoHkRd9wsRF+ScmnuPCI2NpB1QFHn/8caVL0BzqOV9S+63X601TkkyfPp12QFXo8fpKV0AqQ/knJp7jwiNj6RS8Cvz5559Kl6A51HO+pPa7Tp06+Oijj/DRRx/JtkwckVdMGh1lExXln5h4jguPjKXkVoG3335b6RI0h3rOl9R+161bF0FBQTJVQ3gY9QQd/xAV5Z+YeI4Lj4ylBFCBZcuWKV2C5lDP+aJ+a8/K00alSyCVoM+jmGxtXGgHVAVsbfktNaCe80X91h5ailNc9HkUk62NC+2AqgAti8Yf9ZwvS5bidHNzg5ubGy3FqVK0FKe4KP/ExHspTrkzlq4BVYFp06YpXYLmUM/5sqTfOp1OhkoIL5/1pOMfoqL8ExPvcZE7YykBVGDVqlVKl6A51HO+pPbbxcUFV65cwZUrV+Di4iJTVUROa87QNaCiovwTE89x4ZGxdARUBYYOHap0CZpDPedLar/t7e3RunVreYohXAxpTcc/REX5Jyae48IjYykBVODcuXNKl6A51HO+qN/acz6H5gEVFX0exWRr40JHQFWgfn1aMoQ36jlfUvut1+sRGBgIAJgyZQocHR3lKIvIqB4tXiUsyj8x8RwXHhlLO6Aq0LBhQ6VL0BzqOV9S+11aWorPP/8cADBp0iTaAVWhhnWVroBUhvJPTDzHhUfG0il4FTh79qzSJWgO9Zwvqf12cHDA2LFjMXbsWDg40HySapScTafgRUX5Jyae48IjY+kIqAq8/PLLSpegOdRzvqT229nZGRs3bpSpGsLD0DZ0/ENUlH9i4jkuPDKWEkAFVq9erXQJmkM954v6rT1rk2gaJlHR51FMtjYudowxmzoP0qJFC/z999/w9PTEjRs3avSaRXNr14LPv7Or1esJIfxYkhHkPkv6Vzqjdhd8Oi0sqdXrCSF8SMkHOgKqArQsGn/Uc74sWYqzadOmaNq0KS3FqVK0FKe4KP/ExHspTrkzlq4BVYGvv/5a6RI0h3rOlyX9zs7OlqESwsuMZ+j4h6go/8TEe1zkzlhKABX46aeflC5Bc6jnfEntt4uLC5KSkpCUlERLcarUz3F0DaioKP/ExHNceGQsHQFVgbfeekvpEjSHes6X1H7b29ujS5cuMlVDeHijAx3/EBXln5h4jguPjKUEUIE///xT6RI0h3rOF/Vbe06k0xFQUdHnUUy2Ni50BFQFHn/8caVL0BzqOV9S+63X6xEcHAwAeP/992klJBVqUZ9mDxEV5Z+YeI4Lj4ylHVBCiOqUlpbi448/BgCMHTuWdkAJIcSKeGQs7YCqQGpqqtIlaA71nC+p/XZwcMDIkSNNXxP1uZFvU1NQ2xTKPzHxHBceGUs7oCrQp08fpUvQHOo5X1L77ezsjPDwcHmKIVw860G3IIiK8k9MPMeFR8ZSAqhAWFiY0iVoDvWcL+q39my/SDchiYo+j2KytXGhHVAV+OKLL5QuQXOo53xRv7Vnmhf9+hEVfR7FZGvjQgmgAn5+fkqXoDnUc76k9lun06F169Zo3bo1dDqdTFUROS2MpSOgoqL8ExPPceGRsXQNqArMnj1b6RI0h3rOl9R+M8Zw7do109dEfWb1ppvHREX5Jyae48IjY+kIqAr4+PgoXYLmUM/5ktpvZ2dnnDx5EidPnoSzs7NMVRE5+cYYlC6BVILyT0w8x4VHxtIRUBWYOHGi0iVoDvWcL6n9dnBwwDPPPCNTNYSH97rS8Q9RUf6Jiee48MhYSgAV2LNnj9IlaA71nC/qt/bsu0LXgIqKPo9isrVxoSOgKtClSxelS9Ac6jlfUvtdVlaGkJAQAMA777yDOnUoytSmcxNailNUlH9i4jkuPDKWUlsF8vLylC5Bc6jnfEntd0lJCcaPHw8AeO2112gHVIXySpSugFSG8k9MPMeFR8ZSaqtAfn6+0iVoDvWcL6n9tre3x+DBg01fE/UpKFW6AlIZyj8x8RwXHhlLO6Aq0KlTJ6VL0BzqOV9S++3i4oL9+/fLVI1t27dvH/bs2YP27dtjwIAB6Ny5M27duoWpU6eiSZMmyMjIwA8//IAOHTrIWkfHxnQKXlSUf2LiOS48MpYOHajAvn37lC5Bc6jnfFG/5ccYw5dffomtW7di/vz5+PTTT9G5c2cwxjBixAj0798fAQEBmDlzJoYMGSL70Zb9V+kmJFHR51FMtjYutAOqAh9++KHSJWgO9Zwv6rf8Zs+ejYSEBCxbtszseq6tW7fi5MmTmDBhAgCgZ8+ecHFxQUBAgKz1fPAk/foRFX0exWRr42KVBCgqKkJ4eDjOnj1rjbcjD/n555+VLkFzqOd8Se23TqdDly5d0KVLF5tfitMa+XrixAksWLAAa9asgYOD+QpEW7duRceOHeHi4mJ6zMvLy3QHrFyWxtMRUFFR/omJ57jwyFiLdkB79eqFN954A4cPH0ZBQQGefvppvPnmmxg0aBDWrl1r7Ro1j5ZF4496zpclS3EmJycjOTnZ5pbilCNf586di169eiE4OBiDBw9G3759cfDgQQDAyZMn0bhxY7Pt3d3dce7cOZSUyHerOi3FKS7KPzHxXopT7oy1aAe0rKwMGzduRP/+/eHr64sLFy5g9+7dyMjIwMmTJ61do+bRsmj8Uc/5smQpzkOHDuHQoUM2txSntfO1sLAQ+/fvR/PmzTFt2jTs3r0bnp6eeOWVV3DlyhVkZmaiUaNGZq+pX78+jEYjcnNzK31fvV6P+Pj4av+kp6dX+HpailNclH9i4r0U54MZm56eXqPPu16vr/H3sGgH9NVXX4WLiwuysrKwZMkSvPvuuxg6dCjs7e3h6OhoyVuSKnz66adKl6A51HO+pPbbwcEBAwcOxMCBA8udUlY7a+fr5cuXUVpainfeeQcNGzaEo6Mj5s2bh5KSEixZsgR2dnZmp98BwGC4u3NY1ffLzMyEl5dXtX+mT5+OczkMS+MNuFPCTDueOj1DbhHDslMGnMkyIuJ/Ruy6bMSpm0YEnTYgS3d/Wx8fH+h0Ovj7++PChQsIDQ3FgQMHcPz4cQQHByM1NdX0y9nHxwcGgwG+vr64du0a1q9fj6NHjyI6OhpbtmxBSkoKFixYgOLiYrPXZGRkICgoCLGxsdizZw927NiBpKQkLFmyBHl5eWbb3r59G0uXLsWZM2cQHh6OXbt2IS4uDitXrsTNmzfNti0qKoK/vz9SUlIQEhKCgwcP4tixY1i3bh2uX7+OefPmwWg0wsfHB0ajEfPmzcP169exbt06HDt2DAcPHkRISAhSUlLg7++PoqIis/e/efMmVq5cibi4OOzatQvh4eE4c+YMli5ditu3b5ttm5eXhyVLliApKQk7duzAnj17EBsbi6CgIGRkZJi21el0KC4uxoIFC5CSkoItW7YgOjoaR48exfr163Ht2jX4+vrCYDCYvX9qaiqCg4Nx/PhxHDhwAKGhobhw4QL8/f2h0+nMts3KysKKFSsQHx+PqKgo7Ny5E4mJiQgMDERubq7Ztnfu3MHixYuRnJyM7du3Y+/evYiNjcWqVauQlpZmtm1JSQnmz5+PS5cuYfPmzYiOjsaRI0ewYcMGXL16FT/++CPKysrMXnPjxg2sWbMGMTEx2L9/P8LCwnD+/HksWrQIBQUFZttmZ2dj+fLlSEhIQGRkJCIiIkzXVufk5Jhtm5+fj4CAACQnJ2Pbtm3Yt28fTpw4gdWrV5erW6/Xw8/PD5cvX8bGjRtx+PBhHD58GBs3bsTly5fh5+eHjz76yOw1aWlpWL16NU6cOIF9+/Zh27ZtSE5ORkBAAPLz8822zcnJwbJly5CQkICIiAhERkYiISEBy5cvR3Z2ttm2BQUFWLx4MZo1a4asrCwcPHgQ3333XY0+75mZmdVm0j12zIJjq5MnT8bw4cOxaNEi/PXXX7hw4QKaNWuGlJQUPPfcc8jKypL6llbTokUL/P333/D09MSNGzdq9JpFc2t3ePnz7+SdTmTZsmW0Q8QZ9Zwvnv22JCN4sna+/vnnn3juueewZ88evPTSS6bHW7ZsiaeeegoXLlxAx44dERERYXpu2rRpCAwMRGlpabk5AO/1z93dHbt37672+3t4eKCxf+tyj69IMOCT7jX7z4PTQpq1nifKPzEpOS7p6emVns140LBhw5CZmVmjfLVoHtA5c+Zgzpw5qFevHiIjI9GsWTPs2LEDGzZswNNPP23JW5Iq9OnTR+kSNId6zpfUfpeVlSEyMhIAMHz4cJtaCcna+dqiRQsAKHc6/bHHHkOjRo3QrVs3pKammj2XkZEBLy+vKiegdnR0RM+ePWtUQ0VzzvduTvOAioryT0w8x+XhjPXw8ICHh0e1r5Nylsai1G7WrBmWL19u9tjrr7+O119/3ZK3I9VITU1F9+7dlS5DU6jnfEntd0lJiSlvCgoKbGoH1Nr5+vjjj+Opp57Cn3/+iTFjxpgez83NxYsvvoiGDRti9OjRKCkpQd26dQEAiYmJmDhxouU/RA2k5gPd3GX9FsRClH9i4jkuPDLWomtA09PTMXToULz66qsA7gaZn58f1qxZY9XiyF12dnSkgDfqOV9S+21vb4/nnnsOzz33nM0txSlHvvr5+WHz5s3Izs4GAPz1119wcXHB2LFjMWLECHTt2hVRUVEA7t4VX1JSAm9v79r/MFWgT5i4KP/ExHNceGSsRbu0U6ZMQUZGhmlPvFGjRvj666/x0UcfIScnBzNmzLC4IFGWiRPJvVNohB/qOV9S++3i4oJjx47JVI2y5MjXl19+GYGBgfjkk0/QvXt3XL9+HXv27DGdLtu5cye++OILxMTEID09HQcOHICbm5s1f6xyWtSX9e1JLVD+iYnnuPDIWIt2QP/++2/ExsaWWynjmWeegY+Pj0UByRjDjBkzkJ+fj19++cV0uPfeMnHvvvsuPv74Y8THx2PIkCFISkpC/fraSLCYmBg6HcIZ9Zwv6vd9cuQrALz99tt4++23K3yuefPm2LJli0Xva6kT6YxOwQuKPo9isrVxsei4ap8+fUzXCj1o586dFs+YL9oycSIZNWqU0iVoDvWcL+r3fXLkq4jeaG9bl07YEvo8isnWxsWiBPD09ERiYqLpeoRz587h7bffxu7du/Huu+9Kfj8Rl4kTycM3JBD5Uc/5ktrvoqIiPPPMM3jmmWdQVFQkU1XKsHa+iiookZbiFBXln5h4jguPjLVoHtB7k+X+8ssvuHPnDoqKiuDo6IjPPvsMvr6+cHJykvR+w4cPx+3btzF06FAcPnwYRUVFmDt3Ll544QW0adMGrVu3xqFDh0zbf/7551i8eDF0Ol25IwW2OA8oIcRcYWEh6tWrB+DuHZpSrlcUfR5Qa+ertVnSv9IZ5Y/oSkHzgBLCl6UZKyUfLLoG1N7eHt999x2+/vprXLp0CSUlJWjfvr1FF63fWyZu5MiRmDZtGmbNmoVx48bhlVdewblz55CZmVlurrkHl4mrbF6qe8vEVefu65tJrpsnHx8fWpuXM+o5X1L7XbduXdMcdff+E1rTiZKlLBWnBGvmq8h8Ywy0HrygKP/ExHNcKspYa6vVRThOTk7o1KkT3N3dERQUVKNVMR4mwjJxGZnJOByzGMXFd7A/+u5yVPujfVCoy8XRE4FIy0hE0vmdSL4QhRtp8TgeuwIFhVmmbeVeJq60tJSWiXtgmTgfHx/Zl4kbN24cLRMncZk4vV5v8TJxEyZMkLRM3JIlS9C2bVvodDocOnQIMTExmDx5stWXilOSNfJVZFN70jWgopo+fbrSJZAK8ByXOnXq4NVXX8Wrr74q2zzLFp2Cd3d3x9NPP41///vf6NSpE7p37468vDy0b98eo0ePxtdff13j9xJhmbgtv9buCKjcp+AXLVqEzz//XNbvQcxRz/myRr/lWCpOCdbMVzlY6xT8z3EGTPOipThFRPknJjWMi+yn4Dt37oxdu3YBALy9vZGbm4uYmBh069YNX375peRiAWWXiQNqdw2o3IYNG6Z0CZpDPedLar8NBgMOHjwIAHjhhRfg4OAgy1JxSrBmvorspdZ0BFRUlH9i4jkuFWWstVmUAAMHDgQAXLlyBatXr8aUKVPQrVs3AJA8TciDy8Q96N4ycePHj8fp06dRUnL/f8CJiYk2Nx1BVc6cOaN0CZpDPedLar+Li4sxdOhQDB06FMXFxTJVpQxr5qvIzmaL/R9/LaP8ExPPceGRsRbtgGZlZWHp0qUYOXIkGjVqhO+//x4AcPToUWzYsEHy+4m4TJxIHnnkEaVL0BzqOV9S+21vb49u3bqhW7duNrcUp7XzVVQN5bmvgVgB5Z+YeI4Lj4y16BT8/PnzsWTJEgwaNAiffvopGjRogB07duD333/H+PHjJb+fiMvEiUQrKz6JhHrOl9R+u7i4ICEhQZ5iFGbtfBVVfWVnkyJVoPwTE89x4ZGxFu2Aurm54d///rfZY6+//jqaNGmCdu3aWVSIaMvEieTcuXPo3bu30mVoCvWcL+r3fXLkq4jO5zI821zpKkhF6PMoJlsbF4t2QI1GI/bt24fs7GwYjfdXs7h+/Tq++uorxMTEWK1AAgwZMkTpEjSHes4X9fs+reTri61s69IJW0KfRzHZ2rhYtAP6ySefYNWqVeUet7OzQ69evWpdFDEXHBxMkwJzRj3nS2q/i4qKTHeE7t69u9xcwWqmlXxdf9ZIE9ELivJPTDzHhUfGWvRf0IsXL+LChQu4ffs2/Pz8YDQaYTQa4efnhzVr1li7Rs2jIOCPes6X1H4bjUb88ccf+OOPP8yOEtoCreQr7XyKi/JPTDzHhUfGWrQDOmDAALRv3x4NGjRAUVER8vPzAdy9Tunjjz+2aoEEplVgCD/Uc76k9rtu3boIDQ1FaGiobMvEKUUr+eobY1C6BFIJyj8x8RwXHhlr0UpIY8aMQdu2bTF8+HA0b94cU6ZMgbe3N8LCwrB9+3bcvn1bhlJrxpJVOhbNrd18dHKvhFRWVibbUlikYtRzvnj225KM4EnkfAWstxJSmZGhjn3NspNWQuKL8k9MahgXKflg0RHQ//73vzh+/DgOHjyIli1bYsyYMXjjjTewdu1am1qpQxQLFy5UugTNoZ7zRf2+Tyv5uijWti6dsCX0eRSTrY2LRbvSbdq0MS3RBABjx47FyJEjYTQaaf4wGYwePVrpEjSHes6X1H4bDAbT3eC9e/eWZZk4pWglX9/qSHfBi4ryT0w8x4VHxlqcAOHh4UhPTwcAFBQUYOfOndDr9VYrjNx39OhRpUvQHOo5X1L7XVxcjOeffx7PP/+8zS3FCWgjX4//TUdARUX5Jyae48IjYy3aAZ0zZw7eeOMNbNu2DQBQr149DBs2DOPGjUNSUpJVCyRAq1atlC5Bc6jnfEntt52dHdq1a4d27drBzk7ea7B500q+tmxgW+NmSyj/xMRzXHhkrEWn4A8dOoSDBw+if//+psceeeQRvP3225gyZQr++OMPqxVI7h4KJ3xRz/mS2m9XV1ekpKTIVI2ytJKvhtrd+0lkRPknJp7jwiNjLdoB7d69OwYOHFju8Vu3biEuLq62NZGH3DsVR/ihnvNF/b5PK/maUUB7oKKiz6OYbG1cLDoFr9frcezYMdPfGWMICwvD3Llz0bNnT6sVR+6ypdVP1IJ6zhf1+z6t5OvTHnQTkqjo8ygmWxsXixLgP//5D7y9vdGhQwf06dMHjz32GN555x00aNAAK1assHaNmnfvWjDCD/WcL6n9Li4uxquvvopXX33V5m5C0kq+7rhINyGJivJPTDzHhUfGWjQRPQCUlpZi8+bNiI2NRd26ddGlSxeMHTsWzs7O1q5REluciL6kpMTmVnsRHfWcL6n9LiwsRL169QDcvUvczc2txq8VfSJ6QNx8Baw3EX1JGUPdOjQRvYgo/8TEc1wszVjZJ6IHACcnJ7z33ntYunQp/P39MXHiRCHC0RYtWLBA6RI0h3rOl9R+Ozk5Yc2aNVizZg2cnJxkqko5WsjXn/6iI6CiovwTE89x4ZGxFh8BFZUtHgElhFiPGo6AisxaR0CloCOghKiD1Y+AGgwGXL161Rq1EQv4+PgoXYLmUM/50nK/tZqvvjE01Y+otPx5FJmtjUuNdkA/++wzPPfcc3LXQioxceJEpUvQHOo5X1L7bTAYkJCQgISEBNXPWajVfH2vK90FLyrKPzHxHBceGVujBNi/fz+ioqJMfz9+/Hil2+bn59e+KmJm9+7dSpegOdRzvqT2u7i4GD169ECPHj1Ufxe8VvN17xW6BlRUlH9i4jkuPDK2Rjugr776Knr06GH6e3BwcKXb7tmzp9ZFEXNPPfWU0iVoDvWcL6n9trOzQ/PmzdG8eXPVL8Wp1Xx9sqm6x82WUf6Jiee48MjYGq2E9MQTT+CDDz5Ay5Yt4eDggPj4ePzwww/lttPpdNi+fTveeustqxeqZbm5uUqXoDnUc76k9tvV1RV///23TNXwpdV8zVX3gWubRvknJp7jwiNja7QD6u3tjbVr1yI4OBipqanIzMzEmjVrym1XVFSErKwsqxepdYWFhUqXoDnUc7603G+t5qtOr3QFpDJa/jyKzNbGpcZrwb/33nt47733AACTJk1CUFBQhdtV9D93UjsdO3ZUugTNoZ7zpfV+azFfn2hEp+BFpfXPo6hsbVwsug3xs88+q/Q5b29vi4shFfv999+VLkFzqOd8Se13cXEx3nrrLbz11luqvwnpYVrJ1wPX6CYkUVH+iYnnuPDI2FpNRH/t2jXExcXB0dER/fr1wyOPPGLF0ixjixPR37lzBw0aNJD1exBz1HO+pPbb1pfiBMTMV8B6E9HfKWFoUJeW4hQR5Z+YeI6LsEtxlpWV4dNPP0W7du0watQojBw5Es2aNcM333xjyduRaixevFjpEjSHes6X1H47OTlh6dKlWLp0qc0txamVfA08RUdARUX5Jyae48IjYy06Ajpz5kxs3boV//rXv+Dl5YVmzZohOzsbW7duRePGjRUNSls8AkoIsR7Rj4CKnK8ALcVJCKmc7EdAT5w4gTNnzmD69Ono168f2rdvjz59+sDf31/IQFc7W1t+Sw2o53xRv+/TSr7SUpzios+jmGxtXGp8F/yDevXqVen1AKmpqbUqiJRnSzceqAX1nC+p/TYajbh06RIAoG3btrC3t51lHbWSr590s50xszWUf2LiOS48MtaidywoKMC5c+fMHrt69Sq8vb1tbp4qEWzevFnpEjSHes6X1H4XFRWhQ4cO6NChA4qKimSqShlaydeQ83QNqKgo/8TEc1x4ZKxFR0Bnz56NQYMGwcHBAQ0bNsTNmzdx/fp1NG3aFAcPHrR2jZrXr18/pUvQHOo5X5b0u2HDhjJUojyt5OvzLejaeVFR/omJ97jInbEWHQH19PREQkICvL294enpiR49emDevHm4cOECOnfubO0aNe/q1atKl6A51HO+pPbbzc0Nt2/fxu3btyVNwaQGWsnXq3lKV0AqQ/knJp7jwiNjLToCCtxdJ3Tq1KmYOnWqNeshFXBwcFC6BM2hnvNF/TanhXx1oEtAhUWfRzHZ2rhQBKiAh4eH0iVoDvWcL+q39njY1oFrm0KfRzHZ2rjQDqgKxMbGKl2C5lDP+ZLa75KSErz//vt4//33UVJCc0Sq0V8ZtZt/mciH8k9MPMeFR8bSDqgKvPHGG0qXoDnUc76k9rusrAxr167F2rVrUVZWJlNVRE6vtadfP6Ki/BMTz3HhkbEWJcD8+fOxbds2a9dCKrFixQqlS9Ac6jlfUvvt6OiI+fPnY/78+XB0dJSpKmVoJV9/TaRpmERF+ScmnuPCI2MtWoqzcePG8Pb2xty5c8s9xxiDnZ1y02vQUpyEkKqIvhSnyPkK0FKchJDKyb4U57Jly9C2bdsKn/v5558teUtSBVtbfksNqOd8Ub/v00q+0lKc4qLPo5hsbVwsOgL6yiuvICUlBQ0aNDCbqLSkpARxcXEoLi62apFS2OIRUJ1OB1dXV1m/BzFHPedLar+NRiPS09MB3L0zVMoycaIfARU5XwHrHQHV6RlcHWuWnXQElC/KPzHxHBdLM1b2I6AeHh549NFH0bVrV7Rq1cr0p127dmjatKklb0mqsGzZMqVL0BzqOV9S+11UVIQWLVqgRYsWNrcUp1bydcVpugZUVJR/YuI5Ljwy1qKJ6KdMmQJXV1d07Nix3HN79uypdVHE3PDhw5UuQXOo53xZ0u86dSxeR0NoWsnXV/5Bd8GLivJPTLzHRe6MtSgBevbsiZycHGzatAkAkJOTg7CwMJSWluLll1+2aoEEOH36tNIlaA71nC+p/XZzc4Ner4der7e5pTjlzNfc3Fy4u7sjOjra9NitW7cwfvx4TJ8+HaNHj8bFixdr9T1q6kwWHQEVFeWfmHiOC4+MtWgHNDg4GP3790dwcDCAu3dtPvPMMxg5ciStISuDxo0bK12C5lDP+aJ+3ydnvs6cORNZWVmmvzPGMGLECPTv3x8BAQGYOXMmhgwZgvz8/Fp9n5po5Eyzh4iKPo9isrVxsWgHdOHChVi3bh369Oljeqx169YYOnQoPvzwQ6sVR+5ycXFRugTNoZ7zRf2+T658PXLkCIxG86OOW7duxcmTJzFhwgQAd4++uri4ICAgwOLvU1MutnkFhU2gz6OYbG1cLNoB7dq1K8aNG1fubqyCggKcOHHCKoWR+3idEiP3Uc/5ktrvkpISTJkyBVOmTLG5pTjlyNfS0lL89NNP+Prrr80e37p1Kzp27Gj2i83LywshISEWfR8pUm7RUpyiovwTE89x4ZGxFu2Aenp6AoDZhMiJiYkICAio8MJ5Ujsvvvii0iVoDvWcL6n9Lisrwy+//IJffvnF5pbilCNf/fz8MH36dNStaz4d0smTJ8ud1nN3d8e5c+dk37Ef1JJuQhIV5Z+YeI4Lj4y16CTIu+++i0mTJiE3Nxfz589HXFwctm/fDmdnZ5uaKFkUa9euxezZs5UuQ1Oo53xJ7bejoyP+7//+z/S1LbF2vqakpCAjIwMDBgwodw1pZmYmevbsafZY/fr1YTQakZubCw8Pj0rfV6/XIz4+vtrv7+HhgYquXNuQbMSs3g41+REIZ5R/YuI5Lg9nbHp6umle0Kro9foafw+L/gvarVs3zJ8/Hz169EBcXBxKSkowc+ZMXLx4EX379rXkLUkVKAj4o57zJbXfTk5OmDNnDubMmQMnJyeZqlKGtfP1+++/r3BZT+DuUdaHryszGO6uUFTdjn1mZia8vLyq/TN9+nScy2FYGm/AnRJmtgJSbhHDslMGnMkyIuJ/Ruy6bMSpm0YEnTYgS3d/Wx8fH+h0Ovj7++PChQsIDQ3FgQMHcPz4cQQHByM1NdW0SoyPjw8MBgN8fX1x7do1rF+/HkePHkV0dDS2bNmClJQULFiwAMXFxWavycjIQFBQEGJjY7Fnzx7s2LEDSUlJWLJkCfLy8sy2vX37NpYuXYozZ84gPDwcu3btQlxcHFauXImbN2+abVtUVAR/f3+kpKQgJCQEBw8exLFjx7Bu3Tpcv34d8+bNg9FohI+PD4xGI+bNm4fr169j3bp1OHbsGA4ePIiQkBCkpKTA398fRUVFZu9/8+ZNrFy5EnFxcdi1axfCw8Nx5swZLF26FLdv3zbbNi8vD0uWLEFSUhJ27NiBPXv2IDY2FkFBQcjIyDBbaae4uBgLFixASkoKtmzZgujoaBw9ehTr16/HtWvX4OvrC4PBYPb+qampCA4OxvHjx3HgwAGEhobiwoUL8Pf3h06nM9s2KysLK1asQHx8PKKiorBz504kJiYiMDAQubm5ZtveuXMHixcvRnJyMrZv3469e/ciNjYWq1atQlpamtm2JSUlmD9/Pi5duoTNmzcjOjoaR44cwYYNG3D16lX8+OOPKCsrM3vNjRs3sGbNGsTExGD//v0ICwvD+fPnsWjRIhQUFJhtm52djeXLlyMhIQGRkZGIiIhAQkICli1bhpycHLNt8/PzERAQgOTkZGzbtg379u3DiRMnsHr16nJ16/V6+Pn54fLly9i4cSMOHz6Mw4cPY+PGjbh8+TL8/Pzw9ddfm70mLS0Nq1evxokTJ7Bv3z5s27YNycnJCAgIQH5+vtm2OTk5WLZsGRISEhAREYHIyEgkJCRg+fLlyM7ONtu2oKAAgYGBGD16NLp06YI//vgD3333XY0+75mZmVXmxoMsWglJTrm5uejYsSNCQ0MxcOBAAHenCZk6dSqaNGmCjIwM/PDDD+jQoUOFr7fFlZB8fHxoh4gz6jlfPPst+kpI1rR27Vo4ODhg/PjxAICrV6+iTZs2OHToEAYOHIj27dujY8eOiIiIML1m2rRpCAwMRGlpaYWrn9zrn7u7O3bv3l1tDR4eHmjs37rc474xhhofAaWVkPii/BOTkuNS0yOgw4YNQ2ZmZo3y1eL7EAMDA7FixQpcvnwZbm5uGDJkCObOnYs2bdpY+pYAKp8m5N1338XHH3+M+Ph4DBkyBElJSahfv36tvpdazJo1S+kSNId6zpfUfjPGkJeXBwBo2LCh2fWStsBa+RocHIzo6GjTXe73DBo0CAMGDEC3bt2Qmppq9lxGRga8vLyqXXrP0dGx3On7ypRW8NjMXnQNqKgo/8TEc1wezlgPD48qL8m5R8olURYlwOzZszF16lQ0btwY33//PebMmQN3d3e8/PLLSElJseQtAYg3TYgo5s+fr3QJmkM950tqv3U6HR599FE8+uij0Ol0MlWlDGvma1BQEE6dOmX6ExUVZXr8119/xfjx43H69GmzG44SExMxatQoq/5MFfGPpYnoRUX5Jyae48IjYy06AhoUFIRPP/0UgYGBZo/PmDED//d//4egoCDJ73lvmpAff/wRa9asMT1e1TQh3333nSXlq87YsWOVLkFzqOd8Ub/vs2a+tmvXzuzvjzzyiOnxdu3aoU2bNujatSuioqLwxhtv4OTJkygpKYG3t3etf47qvNOJjoCKij6PYrK1cbEoAZo2bYo333yz3OPNmzeXdAfUg0ScJkQUhw8fVroEzaGe8yW1366urigtLUVpaWm5+TLVTo58rYyDgwN27tyJ0NBQzJw5E0uWLMGBAwe4LG969AYdARUV5Z+YeI4Lj4y16AjoqlWrEBERgRdeeMHs8ZycHJw7d07y+8kxTYiUKUKAZpJr5qm219US6ajnfEntt52dXblrjeSYJkQJ1s7XB7Vu3RoP33favHlzbNmypVbva1EtDWzrul1bQvknJp7jUlHGWluNjoB269YN//jHP0x/xowZg19++cXssX/84x/o1KkTnnvuOclFyDFNiJQpQjIyk3E4ZjGKi+9gf/TdqQj2R/ugUJeLoycCkZaRiKTzO5F8IQo30uJxPHYFCgqzTNvKPUXImjVraIqQB6YI8fHxkX2KkOzsbJoiROIUIXq9ntsUIYsWLcL58+cRFhaG/fv3IyYmBpMnT7b6NCE8yJ2voioTav4V8iBbW9zBVtjauNRoGqYpU6YgMzMTnTp1goND1dNmTJkyBU2aNKlxAdaeJsSSKUK2/Fq7I6ByT8O0ZcsWjB49WtbvQcxRz/mS2u/S0lJ8++23AIB58+bByclJlmlCeJAzX+VgyTRWpTPqlnss9LwBb3ekaZhERPknJp7jUlHG1oSUfKjRKfgpU6agYcOGpiXiqlJcXFyjIu+Ra5oQKVOEAGL/V9zLy0vpEjSHes6X1H7r9XosXLgQAEyT0csxTQgPcuaryHo8RjchiYryT0w8x6WijLW2GiVA586daxSOjDFTwTUl8jQhoggPD1e6BM2hnvMltd+Ojo6YMWMGZsyYIdwOpVRy5qvIdv6PbkISFeWfmHiOC4+MtWglpAMHDmD69Om4ePFihdck3LtG0xIPn4I3GAx49tln8c0335imCRk9ejTOnDlT4Z2atrgSUnFxMZydnWX9HsQc9Zwvnv0WfSUkOfPVGqx1Cr64jMG5Ts2yk07B80X5JyY1jIvVT8E/bMKECejZsyemTp1qNm2S0WjE+vXrLXnLSt2bJuSLL75ATEwM0tPTuU0TIoqFCxfSsmicUc/5on7fxzNflbToL2ONl+IkfNHnUUy2Ni4WHQFt0aIFEhMT0ahRo3LPnTp1Cj169LBKcZawxSOghBBzjDHT0cE6depIWopT9COgIucrYL0joFLQEVBC+LI0Y6Xkg0VXgf/www84evRohc/Z2rJ4Irg3BQ3hh3rOl9R+63Q6ODk5wcnJyeYyRyv56huj7KUEpHKUf2LiOS48MtaiU/Bjx47FRx99hISEBLPHjUYjIiMj8ddff1mjNvL/ffTRR0qXoDnUc76o3/dpJV8/eJLughcVfR7FZGvjYtEO6KhRo7Br1y64u7ubTRJvNBqRlpZmteLIXREREZg0aZLSZWgK9Zwvqf12dXXFrVu3TF/bEq3ka9QlIz58iq4BFRHln5h4jguPjLVoB/TIkSOIiorCsGHDyj0XGBhY66KIue7duytdguZQz/mS2m87Ozs88sgjstSiNK3kazd3unZeVJR/YuI5Ljwy1qJzICNGjEDXrl0rfG7MmDG1KoiUl5OTo3QJmkM954v6fZ9W8jWnSOkKSGXo8ygmWxsXi3ZAly5disjIyHKPM8awYsWKWhdFzBUVUVLzRj3nS2q/S0tLMWfOHMyZMwelpaUyVaUMreRrsW0ta21TKP/ExHNceGSsRafgO3bsiKysLHz22WcVPj9r1qxaFUXMtW/fXukSNId6zpfUfuv1evznP/8BAHz11VeyLBOnFK3ka7tHla6AVIbyT0w8x4VHxlq0A/rhhx8iLy8PPXr0QJ0699+irKwMmzZtslpx5K5Dhw5VekqOyIN6zpfUftepUwfe3t6mr22JVvI1+jpDlyZKV0EqQvknJp7jwiNjLXrXe0U9vH6xTqdDr169al8VMfPuu+8qXYLmUM/5ktrvunXr2tQNOQ/SSr6O70LTMImK8k9MPMeFR8ZalACenp7lwhEATp48idOnT9e6KGJuyZIlSpegOdRzvqjf92klX385ZVS6BFIJ+jyKydbGxaKlOO3t7StdlumZZ55BTExMrQuzFC3FSQipiuhLcYqcrwAtxUkIqZyUfLDoFPzgwYMxZswY2NvfP4BqMBgQHh6OUaNGWfKWpAo+Pj6YPXu20mVoCvWcL6n9LiwsNM1Rd/v2bbi5uclUGX9ayVffGANm9aaJ6EVE+ScmnuPCI2Mt2gH19/fHk08+We7xRo0a4cqVK7Uuipir7G5YIh/qOV+W9LuszDbn8dFKvn7ana4BFRXln5h4j4vcGWtRAlQUjgDQsmVL+Pj41KogUt6GDRuULkFzqOd8Se23i4sLbty4gRs3bpgtV2kLtJKvm87RNaCiovwTE89x4ZGxFh0BnThxYrnHioqKcPjwYTRv3rzWRRFzAwYMULoEzaGe8yW13/b29hXeqGMLtJKv/VvQtfOiovwTE89x4ZGxFh0BDQsLw6VLl3DlyhXTn9zcXIwcORIRERHWrlHzLl26pHQJmkM954v6fZ9W8vXSbaUrIJWhz6OYbG1canQE9MCBA3jxxRdNfw8ICMCHH34oW1HEnC2t8qIW1HO+pPa7tLQUP//8MwBg2rRpqh4vrearE91/JCw1f55sGc9x4ZGxNdoBXbhwIQwGA5ydnQEA7dq1w+HDhyvdvn///tapjgAAHnvsMaVL0BzqOV9S+63X6zFz5kwAdyduV/MvTK3m62O2M3GBzaH8ExPPceGRsTXaAU1JScGhQ4dMAfmw8+fPIzQ0FI6OjvDz87OZgBRFXFwcvLy8lC5DU6jnfEntd506dfDee++ZvlYzreZr/E2GnrSfIyTKPzHxHBceGVujd507dy7GjBlT4XPBwcFYsGABWrRogZCQEPTu3duqBRJg5MiRSpegOdRzvqT2u27duggODpanGM60mq8j2tI0TKKi/BMTz3HhkbE1SoDRo0eXe6ywsBDvvvsuPvzwQwwYMACnTp2yqXAUSVBQkNIlaA71nC8t91ur+br6DE3DJCotfx5FZmvjUqMd0IeXhUtISEDPnj2xefNm+Pj4ICoqCo0aNZKlQAJakUIB1HO+tNxvreYrrYIkLi1/HkVma+Mi+RzIkiVL0KdPHxQUFODAgQOYNWuWHHWRB9jS5NNqQT3nS2q/7y0T98gjj6CwsFCmqvjTUr76xhiULoFUgvJPTDzHhUfG1vjK0lu3buGDDz7Azp078cILL2DTpk1wd3cvt11WVhaaNm1q1SK17ssvv1S6BM2hnvNlSb/z8vJkqEQZWszX6V50DaioKP/ExHtc5M7YGiXAsWPH0L17d0RFReH777/H77//XmE4AsC2bdusWiABfvnlF6VL0BzqOV9S++3i4oKLFy/i4sWLql+KU6v5uvw0XQMqKso/MfEcFx4ZW6MjoAMHDoTBYECTJk3wxx9/4IUXXqhwO51Oh9OnT2Py5MlWLVLr/vnPfypdguZQz/mS2m97e3u0b99epmr40mq+Dqe74IVF+ScmnuPCI2NrtAPavHlz/PHHH2jdunWV2xUVFdn0NUtKiY+Pt5lftmpBPedLy/3War4m3DSi/aN0I5KItPx5FJmtjUuNdkBnzZpVbTgCdw/ZfvTRR7WtiTzEVq75UhPqOV9S+63X67Fy5UoAwMcffwxHR0c5yuJCq/naxNWu+o2IIij/xMRzXHhkbI12QMeNG1fjN+zatavFxZCK1a1bV+kSNId6zpfUfpeWluKzzz4DALz//vuq3gHVar7WpYOfwqL8ExPPceGRsTW6CKd+/fpW/8ak5i5duqR0CZpDPedLar8dHBwwatQojBo1Cg4O6t6T0Wq+Xr7NlC6BVILyT0w8x4VHxqp7EWWNGDhwoNIlaA71nC+p/XZ2dkZYWJg8xRAu+j9ONyGJivJPTDzHhUfGUgKowPr165UuQXOo53xRv7VnUzJNwyQq+jyKydbGhXZAVcCW7nxVC+o5X9Rv7Zn5LP36ERV9HsVka+NCCaAC//3vf5UuQXOo53xJ7bdOp4Onpyc8PT2h0+lkqorIye8EHQEVFeWfmHiOC4+MpWtAVeCbb75RugTNoZ7zJbXfjDGkpaWZvibq8zUdARUW5Z+YeI4Lj4ylBFABX19fpUvQHOo5X1L77ezsjFOnTuHUqVNwdnaWqSoip/l0BFRYlH9i4jkuPDKWjoCqwIQJE5QuQXOo53xJ7beDgwO6d+8uTzGEi7Gd6fiHqCj/xMRzXHhkLCWACkRHRytdguZQz/mifmvP4VQ6Aioq+jyKydbGhY6AqkDbtm2VLkFzqOd8Se23Xq/Hxo0bAdxdSUjNKyFp1T8eoaU4RUX5Jyae48IjY2kHVAVKSkqULkFzqOd8Se13aWkpPvjgAwDAW2+9RTugKlRiULoCUhnKPzHxHBceGUs7oCqQlZWldAmaQz3nS2q/HRwc8Morr5i+JuqTraPZC0RF+ScmnuPCI2NpB1QFevbsqXQJmkM950tqv52dnREVFSVTNYSH7o/RLQiiovwTE89x4ZGxlAAqsHPnTqVL0BzqOV/Ub+2JvEQ3IYmKPo9isrVxoR1QFfD29la6BM2hnvNF/daeyd3o14+o6PMoJlsbF0oAFfD391e6BM2hnvMltd86nQ7t27dH+/btaSlOlQqIoyOgoqL8ExPPceGRsXQNqArMnj1b6RI0h3rOl9R+M8bwv//9z/Q1UZ9ZvenmMVFR/omJ57jwyFg6AqoCPj4+SpegOdRzvqT229nZGUePHsXRo0dpKc5qZGRk4M0330TDhg3Rrl07LFu2zOz5a9eu4Z133sHnn3+O8ePHIyMjg0tdvjE0D5OoKP/ExHNceGQsHQFVgUmTJildguZQz/mS2m8HBwf07dtXpmpsy8SJE9GrVy+88cYbWLNmDby9vVGvXj1MmDABOp0OL774In755RcMHToU27dvx4gRIxATEyP79FYTn6TjH6Ki/BMTz3HhkbGUACrw22+/KV2C5lDP+aJ+y+Ps2bOYOHEi5syZg3HjxmHPnj144oknEBQUBAAIDAxEcXExhg4dCgAYOXIkzp07h02bNsleWwTdBS8s+jyKydbGhXZAVcDLy0vpEjSHes6X1H6XlZUhLCwMYWFhKCsrk6kq9WvUqBHefPNN09/r1KmDYcOGITc3FwCwdetWs7kFHRwc0K1bN4SEhMheW8/HaClOUVH+iYnnuPDIWCF2QEW9RkkUN2/eVLoEzaGe8yW13yUlJXj77bfx9ttv07KBVfDw8ICdnfmOXllZGXr37g2DwYC4uDg0btzY7Hl3d3ecOnVK9tpuFsr+LYiFKP/ExHNceGSsENeAinqNkihKS0uVLkFzqOd8Se23vb09BgwYYPqa1NyhQ4cQGhqK3NxcGAwGNGrUyOz5+vXrIzs7u9r30ev1iI+Pr3Y7Dw8PNK7g8VK6B0lYlH9i4jkuD2dseno60tPTq32dXq+v+fewuDorEfkaJVG0bdtW6RI0h3rOl9R+u7i4IDo6GtHR0XBxcZGpKtuzY8cODB48GJ07dzYdGX24fwaDAY6OjtW+V2ZmJry8vKr9M336dJzLYVgab8CdEma6+/3QdSNyixiWnTLgTJYREf8zYtdlI07dNCLotAFZuvvb+vj4QKfTwd/fHxcuXEBoaCgOHDiA48ePIzg4GKmpqaY7hH18fGAwGODr64tr165h/fr1OHr0KKKjo7FlyxakpKRgwYIFKC4uNntNRkYGgoKCEBsbiz179mDHjh1ISkrCkiVLkJeXZ7bt7du3sXTpUpw5cwbh4eHYtWsX4uLisHLlSty8edNs26KiIvj7+yMlJQUhISE4ePAgjh07hnXr1uH69euYN28ejEYjfHx8YDQaMW/ePFy/fh3r1q3DsWPHcPDgQYSEhCAlJQX+/v4oKioye/+bN29i5cqViIuLw65duxAeHo4zZ85g6dKluH37ttm2eXl5WLJkCZKSkrBjxw7s2bMHsbGxCAoKQkZGhmnbAwcOoLi4GAsWLEBKSgq2bNmC6OhoHD16FOvXr8e1a9fg6+sLg8Fg9v6pqakIDg7G8ePHceDAAYSGhuLChQvw9/eHTqcz2zYrKwsrVqxAfHw8oqKisHPnTiQmJiIwMBC5ublm2965cweLFy9GcnIytm/fjr179yI2NharVq1CWlqa2bYlJSWYP38+Ll26hM2bNyM6OhpHjhzBhg0bcPXqVfz4448oKysze82NGzewZs0axMTEYP/+/QgLC8P58+exaNEiFBQUmG2bnZ2N5cuXIyEhAZGRkYiIiEBCQgKWLVuGnJwcs23z8/MREBCA5ORkbNu2Dfv27cOJEyewevXqcnXr9Xr4+fnh8uXL2LhxIw4fPozDhw9j48aNuHz5Mvz8/NCyZUuz16SlpWH16tU4ceIE9u3bh23btiE5ORkBAQHIz8832zYnJwfLli1DQkICIiIiEBkZiYSEBCxfvhzZ2dlm2xYUFGD58uVYvnw5pkyZgqNHj+K7776r0ec9MzOz2uy4x44pPIleeno6mjVrZnaa6PPPP8f+/fuRlJSEZ599Fo899pjZElR9+/bFo48+isjIyHLv16JFC/z999/w9PTEjRs3alTDorm1a8Hn38l7LdPSpUvx2Wefyfo9iDnqOV88+21JRtiCW7du4aOPPsLmzZvh5OQExhicnZ3x8ccfY8mSJabtRo4cicTERFy5cqXC97nXP3d3d+zevbva7+vh4YHG/q3LPf7LKQO8e9TsLJbTQrrMgifKPzEpOS41PQI6bNgwZGZm1ihfFT8F7+HhUe6xh69RmjBhgtnz7u7uOHnyZJXvK+X0ENBMUs28jR8/XukSNId6zpc1+i3HKSJbYTAYMHPmTCxevBhOTk4AADs7Ozz55JPljlhkZGSgV69e1b6no6Oj2Q1MVanoxOHYToqfgCOVoPwTk5Lj4uHhUeH+2sNqcvbkHiET4NChQ/jiiy9qdY2SlNNDGZnJOByzGMXFd7A/+u5h6P3RPijU5eLoiUCkZSQi6fxOJF+Iwo20eByPXYGCwizTtnKfHho1ahSdHnrg9JCPj4/sp4f8/Pzo9JDE00N6vd7i00Pz58+XdHrIz88PnTp1QuvWrREZGYmYmBhMnjzZ6qeIbMWsWbPg7e0NT09P02OZmZkYP348YmJiTI+VlZXh3LlzGDVqlOw1LUugaZhEtXTpUqVLIBXgOS5FRUXo3r07unfvjqKiIlm+h+Kn4B+2Y8cO/PHHHwgICEB2djaaNm2Kb7/91mwFgHHjxuG3335DQUFBuddbcnpoy6+1OwIq9yl4Qoi5wsJC1KtXDwBQUFAANzc3WU4R2YJvv/0WJSUlGDx4MIC7O5mHDx/GwIED0a9fP3Tp0gXh4eHo2bMnQkND8dNPP+H48eOV3txlySUMpTPq1upnoFPwhPBVUcbWhJR8UPwU/INu3bqFDRs2YPPmzQCAxo0bw8nJCXl5eWbbFRQUoGnTplW+l5TTQ4BQ++Dl+Pj40Nq8nFHP+ZLab2dnZ+zbt8/0NSDPKSK1W7hwIf773/8CAPz9/U2PP/roo5g3bx4cHR2xd+9efP/992jdujVycnIQFRXFZWYB3xgDrQcvKMo/MfEcl4oy1tqEOQJqMBgwefJkzJkzx+w00dNPP422bduaTYz87LPPonXr1hVOlmyLNyHl5eWhYcOGsn4PYo56zhfPfmv1JiRrsdYR0LwShoZ1a5addASUL8o/MalhXKTkgzDXgIp4jZIo1q1bp3QJmkM954v6rT0bztI1oKKiz6OYbG1chNgB/fbbb2E0GnHz5k3s2bMHkZGRmDlzJv766y98+OGHYIyZ7mjfvn07OnfubLa8nK0bNGiQ0iVoDvWcL6n9LisrQ1RUFKKiomgpTpUa2JKunRcV5Z+YeI4Lj4xV/BpQka9REkVKSgq6du2qdBmaQj3nS2q/S0pKMHz4cAB3rwmvU0fxKCMS/e8W0KWJ0lWQilD+iYnnuPDIWMVTe8aMGZgxY0aV23Tq1AlhYWGcKhIPrfTCH/WcL6n9tre3x9NPP236mqiPs+K/fUhlKP/ExHNceGQsRYAKNG5c0UrKRE7Uc76k9tvFxQWxsbEyVUN4aEz7OMKi/BMTz3HhkbF06EAFEhISlC5Bc6jnfFG/ted0phATsJAK0OdRTLY2LrQDqgIjRoxQugTNoZ7zRf3Wnlfb0q8fUdHnUUy2Ni6UACrw66+/Kl2C5lDP+ZLa76KiIvTt2xd9+/aVbZk4Iq81Z2gaJlFR/omJ57jwyFhhJqK3FluciJ4QYs7SZeIAmoi+tmgpTkJsH4+lOOkIqAr4+PgoXYLmUM/5ktrvunXrYseOHdixYwfq1q3dzg1Rhm+MQekSSCUo/8TEc1x4ZCwdAYX4R0CLi4tlW4uVVIx6zhfPftMR0Nqx1hHQ4jIG5zq0FKeIKP/EpIZxoSOgNmbJkiVKl6A51HO+qN/aE3iKrgEVFX0exWRr40LzgKrAa6+9pnQJmkM950tqvw0GA44cOQIA6NevHxwcHGSoisjpn+3o+IeoKP/ExHNceGQsJYAKxMXFKV2C5lDP+ZLa7+LiYgwaNAiDBg1CcXGxTFUROZ26SUdARUX5Jyae48IjY+kIqAo0a9ZM6RI0h3rOl9R+29nZoXPnzqavifo85kbjJirKPzHxHBceGUs7oCpQpw4NE2/Uc76k9tvV1RVnz56VqRrCQw3vPyIKoPwTE89x4ZGxdApeBa5cuaJ0CZpDPeeL+q09V+/Y1AQsNoU+j2KytXGhHVAV6N+/v9IlaA71nC/qt/Y834J+/YiKPo9isrVxoQRQgU2bNildguZQz/mS2u+ioiIMGTIEQ4YMoaU4VSrkHN2EJCrKPzHxHBceGUsXeqjAzJkzlS5Bc6jnfEntt9FoxO+//276mqjPl8/Q8Q9RUf6Jiee48MhYSgAV8PX1VboEzaGe8yW133Xr1sWGDRuwYcMGWopTpeafpP84iIryT0w8x4VHxtJSnBB/KU5CiPXQUpy1Y62lOKWgpTgJUQdaitPG+Pj4KF2C5lDP+aJ+a49vjEHpEkgl6PMoJlsbF7oGVAXee+89pUvQHOo5X1L7bTAYEB8fDwDo2bMnLcWpQuM70/EPUVH+iYnnuPDIWEoAFThw4IDSJWgO9Zwvqf0uLi5Gr1690KtXL1qKU6UOXadrQEVF+ScmnuPCI2PpCKgKdOjQQekSNId6zpfUftvZ2aFVq1amr4n6tH+Uxk1UlH9i4jkuPDKWdkBVgOY55I96zpfUfru6uuLq1avyFEO4KCpTugJSGco/MfEcFx4ZS6fgVSAnJ0fpEjSHes4X9Vt7cottagIWm0KfRzHZ2rjQDqgKdOvWTekSNId6zhf1W3uebEq/fkRFn0cx2dq4UAKoQGRkpNIlaA71nC+p/S4uLsZrr72G1157jW5CUqldl+kmJFFR/omJ57jwyFi6BlQFPv30U6VL0BzqOV9S+20wGPDbb7+Zvibq80k3Ov4hKso/MfEcFx4ZSwmgAj/99JPSJWgO9Zwvqf12cnLCypUrsXLlSjg5OclUFZHTz3F0BFRUlH9i4jkuPDKWluIELcVJiJbQUpy1Q0txEkIqQ0tx2hhbW35LDajnfFG/tYeW4hQXfR7FZGvjQteAqsAnn3yidAmaQz3nS2q/jUYjzp07BwDo1KkT7O3p/9Jq89FTNGaiovwTE89x4ZGxlAAqsH37dqVL0BzqOV9S+11UVISuXbuia9euNGm2SoWn0DWgoqL8ExPPceGRsXQEVAWeeeYZpUvQHOo5X5b0u0mTJjJUQnh5uhldOy8qyj8x8R4XuTOWdkBVID09XekSNId6zpfUfru5uSErK0umaggP6YVAD6WLIBWi/BMTz3HhkbF0Cl4FaJ5D/qjnfFG/tcdAZ+CFRZ9HMdnauNAOqAq0bt1a6RI0h3rOF/Vbe1o3VLoCUhn6PIrJ1saFdkBV4MiRI0qXoDnUc76k9ru4uBjjxo3DuHHjaClOlTp6w6amoLYplH9i4jkuPDKWdkBVYMyYMUqXoDnUc76k9ttgMGDTpk3YtGmTzZ2W0op3OtKvH1FR/omJ57jwyFhKABX45ZdflC5Bc6jnfEntt5OTExYtWoRFixbRUpwqteI0XQQqKso/MfEcFx4ZS0txgpbiJERLaCnO2qGlOAkhlaGlOG2MrS2/pQbUc76o39pDS3GKiz6PYrK1caF5QFXgX//6l9IlaA71nC+p/TYajbh+/ToAoGXLlrQUpwpN6UFjJirKPzHxHBceGUsJYAWL5rIq/9RWcHBw7YskklDP+ZLa76KiIrRp0wZt2rShpThVat1ZugZUVJR/YuI5Ljwylo6AqsDgwYOVLkFzqOd8WdJvV1dXGSohvLzYio5/iIryT0y8x0XujKUEEFx6ejr+85//0NJoHFHP+bKk325ubigsLERhYSHc3NxkrI7IIb2Awed4GdILbOoeWJtA+Scm3uPCI2PpCKjg0tPTERoaihaNZqJF82YVbqP0XfjVXWagdH1S3ev5119/DQ8PD6XLAWB7PX6QiP0m8sooZNh6kWFGLwaPeur9t3tPdXf5V3cXf21fb022+HkUqb+WssVxoSOghBBCCCGEK9oBJYSoTklJCSZNmoRJkyahpET8oxeEEKImPDKWTsFzoPTpU2vcia92UnpwI+3uthuDGP5ofvdrNZ/iFkFV/b/XbymvLynV49dffwUAtG22CP+eW7uJzonYajuRfXXkPgUrd/1yo4UExCbHJSA6PcOvv+oBAAEBAahb1/r/hlW1A3rw4EEsX74c7u7ucHR0xIIFC1Cnjqp+BEKIFTjYO2LYi3NNX5Pao3wlhNzjaA/8p6/D3a8d5clY1aTL6dOnMXbsWCQlJaFJkyb417/+ha+++gqLFi1SujRCCGd16jhhyIBvlS7DZlC+EkIe5ORgh3/3vrsDKtda8KrZAf3mm28wePBgNGnSBAAwduxYPP/885g2bRpat26tbHGkSjU5/V3dKW6lL2OQW20vk6jt60Xo34OXPBC+tJ6vop8it6W77OVQ2/ETvb+lM+pCf/Puwg36Rc+i9DHbuH1HFT/FnTt3sG/fPvTs2dP0WPfu3cEYw9atWxWsjBCiBMYYCgqzUFCYBcZop7U2KF8JIQ9jjCFLd/ePXBmriiOgp06dQllZGRo3bmx6zNnZGQ0aNMCpU6cUrIwQooRSvQ7f+z0GAPCdnQ+gnrIFqRjlKyHkYboyoMWyuzchFSzQyTIZvR1TweGDsLAwvP3229i5cydGjBhherxly5bo1KkT9u7da3rMyckJer0e9vb2ptNJVXFwcICuUNkDwfXqV/6cXq9HZmYm6rm5w8Gh4guBq3o9ABTk16I4Tmr7M1izBwaDHgWF5j2v7v1rS+kxUvLnq6jf1WGM4U5+GgCgQf3mqN/ADkajEQaDodrXZmdnw2g0wtHREaWlpTX6frZMSr4ClmWsfb756i2lRiBLBzR1BZxUcR5OcA09q34+7+8av/7e75x7N6PV6PW1ra+2altfdazYX4vk/V27z4wF9RsZkF549+vmzZuDMWb1fFXFEVA7u7vXp7m4uJg9bjAYyt2dda9BRqMRmZmZfAqspbw71W9TUFj5z1KT14uutj+DHD14sOe20OOqiPDzVfVvvCp38tNwx4Id+JqEqRZIydd7jwPWydgsXa1eTu4pqOUOWAWvt+rvz9rWpzQZ+mspiz4ztfz+aWlpkl9Tk3xVxQ7ovWWn8vLyzB4vKChA06ZNzR5zdnZGcXEx7O3t0ahRo2rf28HBAfb29F9wQtSupkdAc3NzYTQa4ezszKEq8UnJV4AylhAtkiNfVbED2qlTJzg6Opr9j0yn0+HOnTvo1auX2baFhYW8yyOEENWSkq8AZSwhxDpU8d/SRo0a4ZVXXkFMTIzpsTNnzsDJycnsmiVCCCHSUL4SQpSgipuQAOCvv/7Ca6+9hosXL8LV1RXe3t6oV68e5s+fr3RphBCiapSvhBDeVLMDCgDh4eEICQlBkyZN0LBhQ/zwww+qv7aouLgYK1aswObNm82OQADAtWvXMHPmTDRv3hxZWVlYuHAhmjVrZnqeMYbZs2cjMzMTOp0Oo0ePpiMWlcjIyMCUKVPw+++/o2nTpvjyyy/x6aefmp6nXltfXl4eJk+ejF27dqFJkyb4v//7P7z77rum56nnYuGZr7TsJx9y/36hcZSOx+8i1YwLI4rR6/Vs9erVrHPnzqxVq1ZmzxUWFrK2bduyvXv3MsYY27ZtG3v66adZWVmZaZtZs2axMWPGmLZ//PHHWWxsLLf61WTYsGHs//7v/9iGDRvYiy++yACwdevWMcao13KZPn06i4yMZCdOnGADBw5k9vb2LDk5mTFGPdeyhIQE9thjj7GsrCzGGGNTp05l06dPV7gq2yP37xcaR8vI/btITeNCO6AC+Prrr8sFxPz585mnp6fp72VlZczNzc30D/XGjRvMycmJ7d+/37TNJ598wl544QUuNatJUlISCwsLM/1dr9ezJ554gvXr148xRr2Ww507d9jFixdNf79y5QoDYBoH6rl2vfLKK2zcuHGmv//555/MwcGBXblyRbmibJhcv19oHKXj8btITeOi7vPXNqKi6Qq2bt1qtjSeg4MDunXrhpCQEADAzp07UVpaaraNl5cXDh06pJr5T3lp1KgR3nzzTdPf69Spg2HDhiE3NxcA9VoO9evXR/v27U1/b9y4MRo0aICBAwcCoJ5rFS37yZ8cv19oHC0j9+8itY0L7YAKyGAwIC4uzmxpPABwd3c3LY138uRJ2Nvb49FHHzV7njGG06dPc61XdB4eHqbJtu8pKytD7969qdecbNq0CRs2bECTJk2o5xpGy34qzxqfPxpHy8j9u0ht4yLgVakkNzcXBoOh3CTP9evXR3Z2NoC7q1Q88sgjZv+Y69e/u57ivW1I5Q4dOoTQ0FDqtcyuXLmCwMBABAQEYPTo0XjppZeQl5dHPdeoe0evqxp7Ii9rZN69G1poHGvPmr+L1DYudARUQDVZGs/Ozq7C5wFUuHweuW/Hjh0YPHgwOnfuTL2WWbNmzTBmzBi89tpr2LhxI+bOnUs91zCpy34S67PG54/G0Tqs/btIbeNCO6ACaty4MZycnKpcGs/Dw6PC5wFUuHweuevWrVvYsGGDaX5D6rW8XFxc4OXlha1bt+L5559HZGQk9VzDpC77SazPGp8/Gsfak+N3kdrGhXZABWRnZ4cnn3yy3M0WGRkZpqXxunXrhoKCAuh0OrPn69SpY3YBMrnPYDBg5syZWLx4MZycnABQr3l688034eTkRD3XMKnLfhLrs8bnj8axduT6XaS2caEdUEGNHz/ebOLgsrIynDt3DqNGjQIAvPPOO3B0dMSJEydM2yQmJmLo0KGma0KIuVmzZsHb2xuenp6mxzIzM6nXnBQXF6Nfv34A6N+3VtGyn2Ko7eePxrF25PpdpLpxUW4GKHLPN998Yzb3F2N351F8/PHHWVxcHGOMsZCQEPbss88yg8Fg2mbatGls6tSppu1btWpl2p6Y++abb9iXX37Jdu/ezXbv3s0iIiLYV199xaKioqjXMkhPT2cLFy5kmZmZjDHG0tLSWJ8+fVh2djZjjP59a1lsbCzz9PRkhYWFjDHGPv30U/bVV18pXJXtkuv3C42jZeT+XaSmcVHVUpy2aNu2bZgzZw6Sk5Ph7++PsWPHwt3dHQBw7tw5fP/992jdujVycnKwYMECs+kV9Ho9vvjiC9jZ2eHWrVt4//338eKLLyr1owhr4cKF+Oqrr8o9/uijj+LmzZtwdHSkXlvZmTNnMHLkSOTm5uKFF15Ay5YtMWPGDLRo0cK0DfVcu2xxWWURyf37hcZRGl6/i9QyLrQDSgghhBBCuBJvl5gQQgghhNg02gElhBBCCCFc0Q4oIYQQQgjhinZACSGEEEIIV7QDSgghhBBCuKIdUEIIIYQQwhXtgBJCCCGEEK5oB5QQQgghhHBFO6CEEEIIIYQr2gElhBBCCCFc0Q6oSh0/fhxjx46FnZ0dWrZsiVdeeQVdunTBP//5T5w6dapW733y5Ek0atQIN27csFK1yuH1szDGMGrUqHKP//rrr/Dw8ICdnR369++PEydOmD1/4MABtG3bFu7u7vjtt99krREALl68iLlz58r+fQhRWkhICEJDQ5UuQzJbyl8peP/clWU2QLnNDSOqdfbsWQaABQUFMcYYy8/PZ7169WL16tVjycnJFr/v9evX2ZgxY1h+fr61SlUMr59l7969DACLjY0t99zWrVsZADZ//vwKXztlyhS2detWWeu7x8fHh507d47L9yJESYMGDWJDhgxRugzJbCl/q5KYmGj2d94/d1WZzRjlNg+0A6piV65cMdsBZYyxyMhIBoB98sknClamPW+++SZzcXGpsO9lZWXM09OT9enTp8LXDhw4kBkMBrlLZIwxNm7cOC7fhxAlXbhwgT3yyCPM3t6eXb16VelyyENu377N3n77bUVrqCqzGaPc5oFOwduYdu3aAQBSU1MVrkQ7bty4AaPRiFGjRmHz5s3Q6XRmzzs4OOCjjz7Cn3/+iaSkJLPn/vjjD/Tv3x/29vJ/FFNSUtChQwfZvw8hSgsKCsLmzZthZ2eHVatWKV0OeUBxcTHGjh2LmzdvKlZDdZkNUG7zQDugNubKlSsAgI4dOwIAioqKMGfOHHh7e6N79+744IMPcOfOHcTFxWHixIkYNmwYQkJC0KhRI/z444+4desWFixYgDZt2uDq1asAgN9//x1jxozBrFmz0KNHDyxZssT0/Y4cOYLRo0fj448/RlhYGDw9PfH4448jODjYtM2KFSswc+ZMTJo0CXXr1kVkZGSVtVWksnqrqq+in8Va9Txo5cqVmDRpEiZOnIg7d+5g69at5baZNGkSHBwcsGLFCrPHg4OD8cEHH1T7PR7uxQcffIBhw4bhzJkz6NevH+rXr49vv/0Wer0en3/+ORo0aIDu3bub/UckLCwMb731VrV9IETNSktLcfnyZbz88ssYPnw41qxZA6PRaLZNTXKrpKQEs2bNwldffYXhw4dj1KhRSEtLMz0vRy5KzayKlJWV4bvvvsPUqVPx2muv4Z133kFeXl61P1NlGVvZ49XlZWV1rFu3Dv/73/9w8eJFTJ48Gbt3767w566u/w/mYFxcHHr06IGGDRti9erV1f4bqUlmA9bLbUszG7Dx3Fb6ECyx3MOn4PPy8tizzz7LHnnkEZaamsoYY+yzzz5jN27cYIwxlpuby5o2bco+/PBDlpyczJ5++mn2j3/8g61atYp98803LDQ0lN28eZP5+voyAOzKlStMp9MxV1dXtnfvXsYYYytWrGD29vbszp07jDHGzpw5w1q1asWefvpp9vPPP7O4uDg2YMAAZm9vz06fPs1SU1PZ008/bao5ICCARUREVFlbRSqrt6r6Hv5ZGGNWq+cevV7P+vbtywwGAzMajaxt27asX79+FW47cuRI1rBhQ1ZYWMgYY+zOnTtsxIgRVb5/RS5evMi8vLxY+/btWXBwMLt58yabNWsWA8D+/e9/s5MnT7IrV66wFi1aMG9vb9PrHjyNU1UfCFGzTZs2sS1btjDGGNu9ezcDwKKiosy2qS63GGPsnXfeYUuXLjW95s0332RdunRher1etlyUmlkVmTRpEvvPf/7DGGOsoKCAubq6sqlTp1b7M1WWsZU9Xl1eVlXHe++9xwYMGGDatqKfu6paGbt7zejzzz/P2rRpw5YuXcrS09PZ+++/zxo0aMDKysoq7Y+UzGbMOrltaWYzZtu5TTugKnZvB/T1119n33//PXvnnXfY9OnTTTufV69eZa1atWK+vr6mP2+88QYbP348Y4yxCRMmsO7du5d7399//90UBHq9nr3//vssOzubMcbYb7/9xgCwa9eumbbv37+/2fU8Fy5cYPb29mzq1KksLi6O1alTh23atIkxdvfan1OnTlVbW0Uqqre6+h78WRhjVq2HMcZCQ0OZn5+f6e9z585lANiFCxfKbXvvl+GqVasYY4wFBQWxDRs2VPn+lRk3bpxZgCcnJzMA7NChQ6bHRo8ezQYPHswYYywlJYXNmTPH9FxlfSBE7UaPHs1KS0sZY4wZjUbWpk0b9tprr5XbrqrcSkxMZABYWlqa6fn4+HgGgAUHB8uWi4zVPLMqcvnyZWZnZ2f6HcAYY2FhYezPP/+s9mdirPLfCQ8/Xl1eVlUHY+V3QB/+uWtS6726Htx5vHcPxN9//11hfxiTltmMWS+3pWY2Y7af27QDqmIV3YT0oKioKPbEE09U+vqKQoAxxg4dOmQWgIwxdvz4cTZr1izm7e1d7rkBAwaw9957z+w9WrZsyV555RVmNBrZ66+/zgCw3r17mz5s1dUmpd6q6nv4Z7FmPYwx9vLLL7OsrCzT369fv87s7e3Z119/XW7be78Mn3nmGcYYY8OGDWM6nU7y92SsfC/u/Vt4MMwe3Oa///0vO3v2rFktFfWBEDU7f/4869atG3vvvfdMf3r06MHq1KnDMjIyzLatKrd+/vlnBsB01IsxxgwGA6tTpw6bMmWK6TFr5yJjNc+sioSGhjIAFeZKTX6myjL24cery8uq6qjs+zz4c9e0/w+/T0W/ux4mJbMZs15uS81sxmw/t+kaUBtWUlKCq1evIjc31+zx7OxsSe8zbdo0bN++HXPnzjW7FqUq7u7uqFu3Luzs7LB9+3Zs3rwZGRkZGDRoEH799Ver1Sa1PmvWc/78eTRp0gRNmjQxPfb4449j8ODBWLt2LcrKysp9748//hixsbHYvHkzWrduDRcXF8k/ryXOnj2Lzp07m9VSUR8IUbOgoCBs27YNwcHBpj/h4eEwGAxm119W5l5uMcYAwOxGGXt7ezRt2hSOjo4A5MnFikjZtm7dugDuzhv5oPz8/Br9TDVVXV5WVUdNWLPWB0nNbIByW060A2rDOnfujJKSEsybN8/scSl3hf7+++9YvHgx5syZAwcHh0q3MxgMZn/PyMhA3759cfbsWVy8eBGjR4/G2bNn8eKLL2Lx4sVWqU1KffdYs55ly5Zh8uTJ5R6fOHEiMjIyEBUVVeFzTk5O+OijjyTffGSpS5cumWZHuKeyPhCiVsXFxfjf//6Htm3bmj3esmVL9O/fH6tWrTLt2NxTWW716tULABAdHW16jjGG3NxcvPDCC7LlYkWkbNulSxcAwPLly83qXrt2bbU/kxTV5WVVdQB3d6SqYs1aH2RJZt97nnLb+mgHVMWKiooAoMIpJADgiSeewOuvv46ffvoJ48aNw/Lly/HGG2/Ay8sLAGA0GlFSUlLudfdC02AwoLi4GACwbt06JCYmYs2aNQCAM2fO4PTp06bXnD171hTuR44cgcFgwIcffoj8/HzMnz8fAODq6orhw4ejQ4cO1dZWkYrqra6+B38WAFarR6fTISEhAX379i333GuvvYZGjRpVuPPq7u6O119/Hf/4xz/wzDPPlHu+pKQEvXv3xqhRo8r9snyQwWAw++V27y7fB+/2ZYzBYDCUu4uyqj4QolZr167F888/X+Fzw4cPR0pKCnbv3m32eGW51adPHwwZMgQ///yzKWMiIiLQo0cPvPrqq7LlIoAaZ1ZF2rZti1GjRmHFihWYPn06Nm7ciFGjRuGpp56q9mcCKv+d8PDj1eVlVXUAgJubG65du4Zbt25h37595X7umtQKAHq9vtwMBw++14MszWzAOrktJbOB8ne/AzaY2/zP+hNrOHbsGBszZgwDwLp168a2bNnCjEZjue1u3brFxo8fz9zc3FibNm3Y2rVrGWOM7dq1i3l6ejJHR0fm7+9vumvw+vXr7J133mEA2L/+9S+WkZHBhg8fzurXr8/Gjh3LkpOTWaNGjdj48eNNdyMOGDCA9ejRg/3rX/9i//73v9lrr73GkpKSGGOM/fnnnwwAe/HFF9m3337L3n//fZaenl5lbRWprN7S0tJK63v4Z8nOzrZaPb/++itr1aoVe+mllyr806RJE+bg4GB2Ef09hw4dYj/99FOF71tUVMRat27NmjVrxuLj4yvc5vfff2eenp6sQYMGbPPmzSwtLY1NmTKFAWBjxoxhFy9eZL/99ht7/PHHWf369Zmrq2u596iqD4SozebNm1mjRo1Y37592dGjR82eS0pKYi+88AIDwB5//HHTHfJV5RZjd+/snjBhAuvduzfz9vZmn376KcvNzWWMVZ07tclFqZlVkdu3b7MxY8YwV1dX1qFDBxYWFlajn6myjK3s8erysqo64uPjWfPmzdmzzz7LMjIyKvy5q6qVsbs52Lx5c1a/fn22efNmdvnyZTZ+/HjTe2RmZprVU5vMZqx2uS01s0NDQyucfN7WctuOsSoOsxBSAwMHDkTr1q1rdI0VqZmFCxfirbfeQqtWrZQuhRCbJHduUS5qD+W2NHQKnhDB3Fulg0KMEELUgXJbOtoBJbVWVlYGvV6vdBk2oaCgAPHx8fjqq6+ULoUQmyZ3blEuagfltmVoB5RYzGAwYMWKFTh9+jQOHjyInTt3Kl2S6tWrVw///Oc/q71LlBBiGblzi3JReyi3LUPXgBJCCCGEEK7oCCghhBBCCOGKdkAJIYQQQghXtANKCCGEEEK4oh1QQgghhBDCFe2AEkIIIYQQrmgHlBBCCCGEcEU7oIQQQgghhCvaASWEEEIIIVzRDighhBBCCOGKdkAJIYQQQghXtANKCCGEEEK4+n95lNRnRx6dGQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 675x350 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(1, 2, figsize = (6.75, 3.5))\n",
    "plt.rc('font',family='Times New Roman')\n",
    "params = {'mathtext.default': 'regular' }\n",
    "plt.rcParams.update(params)\n",
    "\n",
    "fig.tight_layout()\n",
    "plt.subplots_adjust(wspace=0.30)\n",
    "\n",
    "\n",
    "axes[0].hist(u1, bins=30, color='xkcd:periwinkle')\n",
    "axes[0].axvline(x=np.percentile(u1, 99.87), linewidth=1.5, color='k', linestyle='dotted')\n",
    "axes[0].set_xlabel('Periapse raise '+r'$\\Delta V$'+', m/s', fontsize=12)\n",
    "axes[0].set_ylabel('Number of cases', fontsize=12)\n",
    "axes[0].tick_params(direction='in')\n",
    "axes[0].yaxis.set_ticks_position('both')\n",
    "axes[0].xaxis.set_ticks_position('both')\n",
    "axes[0].tick_params(axis='x',labelsize=12)\n",
    "axes[0].tick_params(axis='y',labelsize=12)\n",
    "\n",
    "axes[1].hist(v1, bins=30, color='xkcd:orange')\n",
    "axes[1].axvline(x=np.percentile(v1, 99.87), linewidth=1.5, color='k', linestyle='dotted')\n",
    "axes[1].set_xlabel('Apoapsis correction '+r'$\\Delta V$'+', m/s', fontsize=12)\n",
    "axes[1].set_ylabel('Number of cases', fontsize=12)\n",
    "axes[1].tick_params(direction='in')\n",
    "axes[1].yaxis.set_ticks_position('both')\n",
    "axes[1].xaxis.set_ticks_position('both')\n",
    "axes[1].tick_params(axis='x',labelsize=12)\n",
    "axes[1].tick_params(axis='y',labelsize=12)\n",
    "\n",
    "\n",
    "\n",
    "for ax in axes:\n",
    "    ax.xaxis.set_tick_params(direction='in', which='both')\n",
    "    ax.yaxis.set_tick_params(direction='in', which='both')\n",
    "    ax.xaxis.set_tick_params(width=1, length=8)\n",
    "    ax.yaxis.set_tick_params(width=1, length=8)\n",
    "    ax.xaxis.set_tick_params(width=1, length=6, which='minor')\n",
    "    ax.yaxis.set_tick_params(width=1, length=6, which='minor')\n",
    "    ax.xaxis.grid(which='major', color='k', linestyle='dotted', linewidth=0.5)\n",
    "    ax.xaxis.grid(which='minor', color='k', linestyle='dotted', linewidth=0.0)\n",
    "    ax.yaxis.grid(which='major', color='k', linestyle='dotted', linewidth=0.5)\n",
    "    ax.yaxis.grid(which='minor', color='k', linestyle='dotted', linewidth=0.0)\n",
    "\n",
    "    for axis in ['top', 'bottom', 'left', 'right']:\n",
    "        ax.spines[axis].set_linewidth(2)\n",
    "        \n",
    "plt.savefig('../../../data/acta-astronautica/uranus-orbiter-probe/prm-arm-maneuvers-XA.png', dpi= 300,bbox_inches='tight')\n",
    "plt.savefig('../../../data/acta-astronautica/uranus-orbiter-probe/prm-arm-maneuvers-XA.pdf', dpi=300,bbox_inches='tight')\n",
    "plt.savefig('../../../data/acta-astronautica/uranus-orbiter-probe/prm-arm-maneuvers-XA.eps', dpi=300,bbox_inches='tight')\n",
    "\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "08cefff7",
   "metadata": {},
   "outputs": [],
   "source": [
    "def percent_between(a, lower, upper, closed_left=True, closed_right=True):\n",
    "    \"\"\"\n",
    "    Finds the percentage of values between a range for a numpy array\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    a: np.ndarray\n",
    "      numpy array to calculate percentage\n",
    "    lower: int, float\n",
    "      lower bound\n",
    "    upper: int, float\n",
    "      upper bound\n",
    "    closed_left:\n",
    "      closed left bound ( > vs >= )\n",
    "    closed_right:\n",
    "      closed right bound ( < vs <= )\n",
    "    \"\"\"\n",
    "    l = np.greater if not closed_left else np.greater_equal\n",
    "    r = np.less if not closed_right else np.less_equal\n",
    "\n",
    "    c = l(a, lower) & r(a, upper)\n",
    "    return np.count_nonzero(c) / float(a.size)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "4aa931a2",
   "metadata": {},
   "outputs": [],
   "source": [
    "p1  = np.loadtxt('../../../data/acta-astronautica/uranus-orbiter-probe/MCBXA/terminal_periapsis_arr.txt')\n",
    "x1  = np.loadtxt('../../../data/acta-astronautica/uranus-orbiter-probe/MCBXA/terminal_apoapsis_arr.txt')\n",
    "y1  = np.loadtxt('../../../data/acta-astronautica/uranus-orbiter-probe/MCBXA/acc_net_g_max_arr.txt')\n",
    "z1  = np.loadtxt('../../../data/acta-astronautica/uranus-orbiter-probe/MCBXA/q_stag_max_arr.txt')\n",
    "h1  = np.loadtxt('../../../data/acta-astronautica/uranus-orbiter-probe/MCBXA/heatload_max_arr.txt')\n",
    "u1  = np.loadtxt('../../../data/acta-astronautica/uranus-orbiter-probe/MCBXA/periapsis_raise_DV_arr.txt')\n",
    "v1  = np.loadtxt('../../../data/acta-astronautica/uranus-orbiter-probe/MCBXA/apoapsis_raise_DV_arr.txt')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "6c44d9ec",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.02"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "percent_between(x1, -1e9, 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "34c7a258",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.635"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "percent_between(x1, 500e3, 600e3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "750d57ed",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.815"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "percent_between(x1, 450e3, 650e3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "b11149fd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.835"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "percent_between(x1, 350e3, 750e3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "c115ab53",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.98"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "percent_between(x1, 0, 7500e3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "e398be2e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.14500000000000005"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "1 - percent_between(x1, 350e3, 750e3) - percent_between(x1, -1e9, 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "068ec47d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.0"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "0.145 + 0.835 +0.02"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "605941c6",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}