{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c4c19cc0",
   "metadata": {},
   "source": [
    "# Constrained Bayesian model: confidence intervals and bands\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "3a480dbb",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-09-14T14:45:22.701207Z",
     "iopub.status.busy": "2026-09-14T14:45:22.701207Z",
     "iopub.status.idle": "2026-09-14T14:45:28.938996Z",
     "shell.execute_reply": "2026-09-14T14:45:28.937440Z"
    }
   },
   "outputs": [],
   "source": [
    "from pathlib import Path\n",
    "import sys\n",
    "\n",
    "PROJECT_ROOT = Path.cwd().resolve()\n",
    "while not (PROJECT_ROOT / 'data.py').exists():\n",
    "    if PROJECT_ROOT.parent == PROJECT_ROOT:\n",
    "        raise FileNotFoundError('Open this notebook from inside organized_uncertainty_analysis.')\n",
    "    PROJECT_ROOT = PROJECT_ROOT.parent\n",
    "if str(PROJECT_ROOT.parent) not in sys.path:\n",
    "    sys.path.insert(0, str(PROJECT_ROOT.parent))\n",
    "\n",
    "import os\n",
    "os.chdir(PROJECT_ROOT)\n",
    "from organized_uncertainty_analysis.bayesian import ci_estimation as ci\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "329ca514",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-09-14T14:45:28.938996Z",
     "iopub.status.busy": "2026-09-14T14:45:28.938996Z",
     "iopub.status.idle": "2026-09-14T14:51:55.240468Z",
     "shell.execute_reply": "2026-09-14T14:51:55.239458Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading SUV from: .\\suv_percentilesSLOthenUWM.mat\n",
      "Loading FLAGS from: .\\flags_combined.mat\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL: clean MAP completed in 0.8 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      ".\\bayesian\\core.py:598: RuntimeWarning: Hessian is weak or indefinite and required spectral stabilization (original condition=3.912e+09; stabilized condition=1.000e+06). Interpret Wald/MCA as local sensitivity approximations.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL NPBS: 25/400 (0.1 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL NPBS: 50/400 (0.2 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL NPBS: 75/400 (0.3 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL NPBS: 100/400 (0.3 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL NPBS: 125/400 (0.4 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL NPBS: 150/400 (0.5 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL NPBS: 175/400 (0.6 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL NPBS: 200/400 (0.7 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL NPBS: 225/400 (0.8 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL NPBS: 250/400 (0.9 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL NPBS: 275/400 (1.0 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL NPBS: 300/400 (1.0 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL NPBS: 325/400 (1.1 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL NPBS: 350/400 (1.2 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL NPBS: 375/400 (1.3 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL NPBS: 400/400 (1.4 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL PBS: 25/400 (0.2 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL PBS: 50/400 (0.3 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL PBS: 75/400 (0.4 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL PBS: 100/400 (0.5 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL PBS: 125/400 (0.6 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL PBS: 150/400 (0.8 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL PBS: 175/400 (0.9 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL PBS: 200/400 (1.0 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL PBS: 225/400 (1.3 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL PBS: 250/400 (1.5 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL PBS: 275/400 (1.6 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL PBS: 300/400 (1.7 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL PBS: 325/400 (1.8 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL PBS: 350/400 (2.0 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL PBS: 375/400 (2.1 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL PBS: 400/400 (2.2 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TRIM: clean MAP completed in 0.8 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      ".\\bayesian\\core.py:598: RuntimeWarning: Hessian is weak or indefinite and required spectral stabilization (original condition=inf; stabilized condition=1.000e+06). Interpret Wald/MCA as local sensitivity approximations.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TRIM NPBS: 25/400 (0.1 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TRIM NPBS: 50/400 (0.1 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TRIM NPBS: 75/400 (0.2 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TRIM NPBS: 100/400 (0.2 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TRIM NPBS: 125/400 (0.3 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TRIM NPBS: 150/400 (0.4 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TRIM NPBS: 175/400 (0.4 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TRIM NPBS: 200/400 (0.5 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TRIM NPBS: 225/400 (0.5 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TRIM NPBS: 250/400 (0.6 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TRIM NPBS: 275/400 (0.6 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TRIM NPBS: 300/400 (0.7 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TRIM NPBS: 325/400 (0.8 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TRIM NPBS: 350/400 (0.8 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TRIM NPBS: 375/400 (0.9 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TRIM NPBS: 400/400 (1.0 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TRIM PBS: 25/400 (0.1 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TRIM PBS: 50/400 (0.2 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TRIM PBS: 75/400 (0.3 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TRIM PBS: 100/400 (0.4 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TRIM PBS: 125/400 (0.5 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TRIM PBS: 150/400 (0.5 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TRIM PBS: 175/400 (0.6 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TRIM PBS: 200/400 (0.7 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TRIM PBS: 225/400 (0.8 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TRIM PBS: 250/400 (1.0 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TRIM PBS: 275/400 (1.0 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TRIM PBS: 300/400 (1.1 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TRIM PBS: 325/400 (1.2 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TRIM PBS: 350/400 (1.3 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TRIM PBS: 375/400 (1.4 min)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TRIM PBS: 400/400 (1.5 min)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Dataset</th>\n",
       "      <th>Parameter</th>\n",
       "      <th>Estimate</th>\n",
       "      <th>Wald_LL</th>\n",
       "      <th>Wald_UL</th>\n",
       "      <th>NPBS_LL</th>\n",
       "      <th>NPBS_UL</th>\n",
       "      <th>PBS_LL</th>\n",
       "      <th>PBS_UL</th>\n",
       "      <th>MCA_LL</th>\n",
       "      <th>MCA_UL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>FULL</td>\n",
       "      <td>omega</td>\n",
       "      <td>0.050199</td>\n",
       "      <td>-0.039039</td>\n",
       "      <td>0.139437</td>\n",
       "      <td>0.049950</td>\n",
       "      <td>0.050534</td>\n",
       "      <td>0.048885</td>\n",
       "      <td>0.050347</td>\n",
       "      <td>0.007726</td>\n",
       "      <td>0.251520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>FULL</td>\n",
       "      <td>a</td>\n",
       "      <td>1226.472895</td>\n",
       "      <td>1091.466296</td>\n",
       "      <td>1361.479493</td>\n",
       "      <td>1156.362361</td>\n",
       "      <td>1806.806708</td>\n",
       "      <td>1223.557435</td>\n",
       "      <td>1462.724384</td>\n",
       "      <td>1090.920932</td>\n",
       "      <td>1359.569404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>FULL</td>\n",
       "      <td>b</td>\n",
       "      <td>430.529004</td>\n",
       "      <td>318.543901</td>\n",
       "      <td>542.514107</td>\n",
       "      <td>293.984489</td>\n",
       "      <td>1344.473152</td>\n",
       "      <td>308.257889</td>\n",
       "      <td>432.548419</td>\n",
       "      <td>320.699903</td>\n",
       "      <td>545.160228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>FULL</td>\n",
       "      <td>s</td>\n",
       "      <td>0.580827</td>\n",
       "      <td>0.427643</td>\n",
       "      <td>0.734010</td>\n",
       "      <td>0.417297</td>\n",
       "      <td>1.422812</td>\n",
       "      <td>0.375562</td>\n",
       "      <td>1.216431</td>\n",
       "      <td>0.442629</td>\n",
       "      <td>0.752989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>FULL</td>\n",
       "      <td>k</td>\n",
       "      <td>170.987806</td>\n",
       "      <td>116.275462</td>\n",
       "      <td>225.700150</td>\n",
       "      <td>123.738632</td>\n",
       "      <td>521.445438</td>\n",
       "      <td>167.942653</td>\n",
       "      <td>419.803562</td>\n",
       "      <td>116.881033</td>\n",
       "      <td>226.125285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>FULL</td>\n",
       "      <td>vartheta</td>\n",
       "      <td>0.008587</td>\n",
       "      <td>0.006074</td>\n",
       "      <td>0.011100</td>\n",
       "      <td>0.003271</td>\n",
       "      <td>0.011893</td>\n",
       "      <td>0.002989</td>\n",
       "      <td>0.008652</td>\n",
       "      <td>0.000913</td>\n",
       "      <td>0.011968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>TRIM</td>\n",
       "      <td>omega</td>\n",
       "      <td>0.051696</td>\n",
       "      <td>-0.038670</td>\n",
       "      <td>0.142062</td>\n",
       "      <td>0.051856</td>\n",
       "      <td>0.051972</td>\n",
       "      <td>0.051678</td>\n",
       "      <td>0.052069</td>\n",
       "      <td>0.008545</td>\n",
       "      <td>0.256751</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>TRIM</td>\n",
       "      <td>a</td>\n",
       "      <td>779.965200</td>\n",
       "      <td>614.537010</td>\n",
       "      <td>945.393390</td>\n",
       "      <td>749.171130</td>\n",
       "      <td>1239.647339</td>\n",
       "      <td>750.838180</td>\n",
       "      <td>1260.849535</td>\n",
       "      <td>620.814613</td>\n",
       "      <td>944.952486</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>TRIM</td>\n",
       "      <td>b</td>\n",
       "      <td>264.176251</td>\n",
       "      <td>147.203196</td>\n",
       "      <td>381.149306</td>\n",
       "      <td>241.322201</td>\n",
       "      <td>778.628566</td>\n",
       "      <td>188.084072</td>\n",
       "      <td>316.432013</td>\n",
       "      <td>144.842437</td>\n",
       "      <td>378.164479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>TRIM</td>\n",
       "      <td>s</td>\n",
       "      <td>0.580154</td>\n",
       "      <td>0.270594</td>\n",
       "      <td>0.889714</td>\n",
       "      <td>0.496988</td>\n",
       "      <td>0.972450</td>\n",
       "      <td>0.350417</td>\n",
       "      <td>2.444934</td>\n",
       "      <td>0.327815</td>\n",
       "      <td>0.948319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>TRIM</td>\n",
       "      <td>k</td>\n",
       "      <td>120.937329</td>\n",
       "      <td>3.964804</td>\n",
       "      <td>237.909854</td>\n",
       "      <td>87.985908</td>\n",
       "      <td>392.318216</td>\n",
       "      <td>90.143660</td>\n",
       "      <td>494.205515</td>\n",
       "      <td>8.752694</td>\n",
       "      <td>238.909282</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>TRIM</td>\n",
       "      <td>vartheta</td>\n",
       "      <td>0.011820</td>\n",
       "      <td>0.001438</td>\n",
       "      <td>0.022202</td>\n",
       "      <td>0.003807</td>\n",
       "      <td>0.014969</td>\n",
       "      <td>0.001920</td>\n",
       "      <td>0.015001</td>\n",
       "      <td>0.004452</td>\n",
       "      <td>0.029872</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Dataset Parameter     Estimate      Wald_LL      Wald_UL      NPBS_LL  \\\n",
       "0     FULL     omega     0.050199    -0.039039     0.139437     0.049950   \n",
       "1     FULL         a  1226.472895  1091.466296  1361.479493  1156.362361   \n",
       "2     FULL         b   430.529004   318.543901   542.514107   293.984489   \n",
       "3     FULL         s     0.580827     0.427643     0.734010     0.417297   \n",
       "4     FULL         k   170.987806   116.275462   225.700150   123.738632   \n",
       "5     FULL  vartheta     0.008587     0.006074     0.011100     0.003271   \n",
       "6     TRIM     omega     0.051696    -0.038670     0.142062     0.051856   \n",
       "7     TRIM         a   779.965200   614.537010   945.393390   749.171130   \n",
       "8     TRIM         b   264.176251   147.203196   381.149306   241.322201   \n",
       "9     TRIM         s     0.580154     0.270594     0.889714     0.496988   \n",
       "10    TRIM         k   120.937329     3.964804   237.909854    87.985908   \n",
       "11    TRIM  vartheta     0.011820     0.001438     0.022202     0.003807   \n",
       "\n",
       "        NPBS_UL       PBS_LL       PBS_UL       MCA_LL       MCA_UL  \n",
       "0      0.050534     0.048885     0.050347     0.007726     0.251520  \n",
       "1   1806.806708  1223.557435  1462.724384  1090.920932  1359.569404  \n",
       "2   1344.473152   308.257889   432.548419   320.699903   545.160228  \n",
       "3      1.422812     0.375562     1.216431     0.442629     0.752989  \n",
       "4    521.445438   167.942653   419.803562   116.881033   226.125285  \n",
       "5      0.011893     0.002989     0.008652     0.000913     0.011968  \n",
       "6      0.051972     0.051678     0.052069     0.008545     0.256751  \n",
       "7   1239.647339   750.838180  1260.849535   620.814613   944.952486  \n",
       "8    778.628566   188.084072   316.432013   144.842437   378.164479  \n",
       "9      0.972450     0.350417     2.444934     0.327815     0.948319  \n",
       "10   392.318216    90.143660   494.205515     8.752694   238.909282  \n",
       "11     0.014969     0.001920     0.015001     0.004452     0.029872  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Dataset</th>\n",
       "      <th>Characteristic</th>\n",
       "      <th>Estimate</th>\n",
       "      <th>Wald_LL</th>\n",
       "      <th>Wald_UL</th>\n",
       "      <th>NPBS_LL</th>\n",
       "      <th>NPBS_UL</th>\n",
       "      <th>PBS_LL</th>\n",
       "      <th>PBS_UL</th>\n",
       "      <th>MCA_LL</th>\n",
       "      <th>MCA_UL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>FULL</td>\n",
       "      <td>x50</td>\n",
       "      <td>1.791702</td>\n",
       "      <td>1.559899</td>\n",
       "      <td>2.023506</td>\n",
       "      <td>1.611125</td>\n",
       "      <td>2.717373</td>\n",
       "      <td>1.652158</td>\n",
       "      <td>2.463079</td>\n",
       "      <td>0.560673</td>\n",
       "      <td>2.542008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>FULL</td>\n",
       "      <td>s50</td>\n",
       "      <td>1.785007</td>\n",
       "      <td>-0.678589</td>\n",
       "      <td>4.248604</td>\n",
       "      <td>0.106113</td>\n",
       "      <td>38.011028</td>\n",
       "      <td>0.703930</td>\n",
       "      <td>85.281551</td>\n",
       "      <td>0.317124</td>\n",
       "      <td>374.932272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>TRIM</td>\n",
       "      <td>x50</td>\n",
       "      <td>1.754496</td>\n",
       "      <td>1.559814</td>\n",
       "      <td>1.949177</td>\n",
       "      <td>1.607112</td>\n",
       "      <td>1.988407</td>\n",
       "      <td>1.642209</td>\n",
       "      <td>2.276275</td>\n",
       "      <td>1.095249</td>\n",
       "      <td>2.030673</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>TRIM</td>\n",
       "      <td>s50</td>\n",
       "      <td>3.247117</td>\n",
       "      <td>-0.671747</td>\n",
       "      <td>7.165981</td>\n",
       "      <td>1.941716</td>\n",
       "      <td>32.805707</td>\n",
       "      <td>0.961564</td>\n",
       "      <td>125.023516</td>\n",
       "      <td>1.300154</td>\n",
       "      <td>35.720954</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Dataset Characteristic  Estimate   Wald_LL   Wald_UL   NPBS_LL    NPBS_UL  \\\n",
       "0    FULL            x50  1.791702  1.559899  2.023506  1.611125   2.717373   \n",
       "1    FULL            s50  1.785007 -0.678589  4.248604  0.106113  38.011028   \n",
       "2    TRIM            x50  1.754496  1.559814  1.949177  1.607112   1.988407   \n",
       "3    TRIM            s50  3.247117 -0.671747  7.165981  1.941716  32.805707   \n",
       "\n",
       "     PBS_LL      PBS_UL    MCA_LL      MCA_UL  \n",
       "0  1.652158    2.463079  0.560673    2.542008  \n",
       "1  0.703930   85.281551  0.317124  374.932272  \n",
       "2  1.642209    2.276275  1.095249    2.030673  \n",
       "3  0.961564  125.023516  1.300154   35.720954  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABWkAAAIiCAYAAAC61Ur+AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAABWIAAAViAHE10CgAAEAAElEQVR4nOzdd3gc1dXA4d/MbF+tenXv3QZsDDYdmxJ67wm9JpAvlEAg9A4JJYQECCTUEHrv1RTTMTbGNq64W5ZkdW2fud8fK0u7KlaxtKty3ucR7M7Mztxdb7lz5txzNaWUQgghhBBCCCGEEEIIIURK6KlugBBCCCGEEEIIIYQQQvRnEqQVQgghhBBCCCGEEEKIFJIgrRBCCCGEEEIIIYQQQqSQBGmFEEIIIYQQQgghhBAihSRIK4QQQgghhBBCCCGEECkkQVohhBBCCCGEEEIIIYRIIQnSCiGEEEIIIYQQQgghRApJkFYIIYQQQgghhBBCCCFSSIK0QgghhBBCCCGEEEIIkUISpBVCCCGEEEIIIYQQQogUkiCtEEIIIYQQQgghhBBCpJAEaYUQQgghhBBCCCGEECKFbKluQF83btw4KioqGDFiRKqbIoQQQgjRL61atYqsrCx+/vnnVDelTdJ3FEIIIYRIvVT0HyVI280qKirw+/2pboYQQgghRL/Vm/pi0ncUQgghhEi9VPTHJEjbzbZmQXz55ZcpbokQQgghRP80c+bMVDeh3aTvKIQQQgiReqnoP0pNWiGEEEIIIYQQQgghhEghCdIKIYQQQgghhBBCCCFECkmQVgghhBBCCCGEEEIIIVJIgrRCCCGEEEIIIYQQQgiRQhKkFUIIIYQQQgghhBBCiBSSIK0QQgghhBBCCCGEEEKkkARphRBCCCGEEEIIIYQQIoVsqW6AEEIIIYQQQgghhBCil7AiUPoDVP4Mlgm+IZC/Czh8qW5ZryZBWiGEEEIIIYQQQgghRNv8xbD4YQhVNi4r/wnWvQejT4LcHVPVsl5Pyh0IIYQQQgghhBBCCCG2zYzAon8lBmi3sqKw7GmoXZ/0ZvUVEqQVQgghhBBCCCGEEEJsW9k8CFe1vl6ZsPHT5LWnj5FyB0IIsVW4GjZ/BdWrQdMgc0ysro7NneqWCSGEEEIIIYQQqVW+uO1tKtqxjWhRr82kfeqppzjvvPPYeeedcTqdaJrGY4891uH9WJbF/fffz5QpU3C73eTl5XH88cezfPnyrm+0EKLn2rIQvr8V1r4LlUuh4mf45TX4/hao/iXVrRNCCCGEEEIIIVJLmW1vY7VjG9GiXptJe/XVV7NmzRpyc3MpKipizZo1ndrP+eefz8MPP8yECRO46KKL2Lx5M88++yzvvfceX3zxBRMmTOjilgshehx/MSx9suUfnGgAlvwbpv4J7GnJb5sQQiRLuCY2osDuBWdmqlsjhOip6jbBxk9iF7itMHgKoXAm5O8KupHq1gkhhOhOaYOgYknb24hO6bVB2kceeYTRo0czdOhQbr/9dq688soO7+Pjjz/m4YcfZs899+T999/H6XQCcOqpp7L//vtzwQUX8Mknn3R104UQPc2mz7d9RTAagM3fwKBZyWuTEEIki78Y1rwV63ArK7YsYzQM+RWkD0tp04QQPUzFUvj5UbAijcvqNsLKF6F8EYw7A/Ree4rZfsqKDfkt+RqCFbGLW3nTIHcnMOypbp0QQnSfghmw/qNtnz8X7Z689vQxvbbcwX777cfQoUO3ax8PP/wwADfffHNDgBZg9uzZHHjggXz66acsW7Zsu44hhOgFKn5uxzZtXC0UQojeqG4jLLw/FlzZGqAFqFoOix6ASukHCSHqmRFY9lRigDZexc+w6bPktikVrCgseTQWrC5fDP5NULUCVjwLP/4tNipBCCH6KmcmjDwWtFbCiQW7QO6OyWxRn9IPLnO2bs6cOXi9XnbfvXmU/8ADD+Sdd97hk08+YcyYMSlonRAiadpTV6c92wghOk0pRTQaJRwON/xFo1Esy8KyLEzTbLjd9H5rty3Lath3/HE6c7sr9tETTXV8TZZe2craEP7vHuHL0F6AlsRWdb2KigqysrJS3QwhereyHyDq3/Y2m76AAfvEJmDtq9a+0/qkOP5NsOIZmHBOctvUQyilGn6Lo9Eopml26M+yLJRSDX9b99na/c5u09rjUinVbUj18XtKG0T7Zeg7MMT2C7l6KRqKapXB+ugQiivTYOmbqW5el0hF/7HfBmnr6urYtGkTkyZNwjCa104aPXo0gEwgJvo004Qfl8HPq+CgPSEzvXHdqnXwwnugFMyeATtPgvXhKP8u97OwLsKStQoFeL2QnxvbbqDd4OEhWTz0LFRUQYYPDjo6ym/XVzbst2QL1PgBFGlZ5dRGqhvWhQJOBsyLklMWZtxOS8jKqwDgI8cEfrHyqanyAeDxhJkwsCDhuSxYWUvEipBp+ll80ERscUPtzn5sCa8V2tA0yMypTHicv9bNbdEs9tMr0HQLDXCoKAYWlqkTjcb280bYzrMryxoeF4nCT6urMZWJxx1lwqC8hnUjnAY1/12HPVrM/kOXMHrQeso1Fw+6ZrDQyKe2Ko1IJLbfrJzKhNhHoM5FMOBizOIazphRwVm7zW5Y99ufq3hhdSmgyEq3GFmQ0/hvacGClVVYWDgcEYamFXNIaH7D+nmfTaXUnsbSHXxkZDe+5gB11V7C4djQvGEDINcb+yG6uSidysUh7nl1EQBHHaBYOnI8CwPR2GsXsli8tgoAlzuI2xts3KmC6C9pTFhYRWZOJeOnxU5mNuqZvO+cTE2lj2jUQNcUo4fY8Tl8DQ/dUBZiU0XsJPCmQUHOmzS5Yd2c+WWctayUmnQb3jQ/Dle48TUwdaorYm9ipyuEJy1AoVnJgeGFAHzz0a6YUYPwoCiRfYbhsrkaHrtyY4CKulj7xw9z4LV7G9btucbPFx9vBGDSLj/iy6zlDeeObNF9RMJ2aqtj23q8AZzuUMPjLEujqjyDzIoIu1es5P6zZ+N1eAD4qi7ESV8XUxcOY+gWE4f5cBiOxvZsqqOiNvbcMrKrOCw8j1xVC8CmNUUs3DiapRPTISeCbjdRaFhoWKZBIBB7XnZnlIIMH25d44gMN9fkp3P6bT9TEaxEG+LHt/8OfOkPo4h9fstrw0RMBRo4nLHlW9+c3too47+oxVtnsuPu83A463gzNJwldR5ClbWYZVWo6koMfyX2cBjlr0X567Dq6ojU1IG/Fk9tNcPtEAqFCIfD1IbCbPEHUZEwRMMQicQaIpJmWGEac+87lPJtbrWF2248m7k/bU5Sq7rPjBkzUt0E0QMoS1G1zERZkDWh+alQydcRNn0UbuGRbRt3vhtnVmJmkRlW/HRX7DfNnq4x4XeeZo+rXhFl1fOhZsvbY/ixTjJGN38ei//pJ1wV+06dfIkHw5kYNA1VWix5INChYxUNXkV2nkJ3aMT9ZAHgDwJhBdYW3r15Ix/+ys26HAsF/LLZT0lliB2/Lef4LYknoMspIhyN9UFs9ii63pjRr5RGpL5/smZEgN1/k8Pv8zMa1p/31xUESi2K6rxkpTlZthcUj42tW7a+jupAGA045nuN7C2x/YwwSwhUefDXxv4dsvPLWePKxqofYGpZOtH6PlptXpjVv2nsD0RN8H9dwvMZc0g3ojhsBrpdI2y3iJoRsCxMNELFP3Hn51/i/nlA42MjNiwrdoyx+npscc/TX+NhtSsXpYHNYzL//Mb+SSAES9ZWkVUJR3/pIsPjYtBoOyefmU4kCqfc+iOBiJ/KCSZZ0Uym/NA4f0IkbEcpDQ2FYQ8QCFYSCFQSDFXh2VJObW2EcNRPRkYtQ/Zw8lhZKdG6OvxVtVSVV0I4zOBiE6woYcJUZYQww2ECdQGMQAhbNABmGCsYe/6mMlHxIzKEEKIPSHb/sd8GaauqYoGFjIyMFtenp6cnbNeWmTNntrj8p59+YtKkSZ1o4fb7+eEAq/4XbHvDFuz9uA9HZmInM1xp8clpseE73iEGu/29+SRKxZ9HWPiXNq6wt2LazV6yJzd/S845tZpIfSdz/1eb/3vVrjH58ve1nTrm2HNdDDnE2Wz5d3+uo+KnWCBq5n1ppA1tHsh//4j2vTeaGnSwg/HnuZstX/JQgPVvxU4KJv/RQ+EezetZfXFRLXVrO57RmTXJxs63eBOWKQVXnRFmRnEApy3CgoVhxp2YgWV4QcH38+HuR3XOUnVseDJMsQFBpZgATECjpawqDcUbWgW5YXAqnXvz08mfHuHt2sb34cQ1Ojf/M9b5/GqHbO4+Pa5dPqhcmc3R32vsOmc4aLHnOlq3g9bWRBSxz+x5v7fx0eLN2PXG12/uFx7+sTwWBFxXmMWlV8R9LjJhbnAQx9YtxmHGjmeZBmbYjmXacKChlEbeg7M5o6rpkI5MAG74bZC3Mxr3OapW4+y65Vw4bS46Cqqg0rOe+9T7fGgfwbnZhxHU7AzepHHz5Tm0RIvkor8yiNeNxvDJbAX7atkA/PvoMG/v2eTzXejk+vudTFhpgMrnpj1vZ2P6LwAYn3xApLCQiv1L+fvFebTHOmqxTDjNjJ3xLF69nHcvq2NBfCCt0M1ZLzg4cG7sedxzWogvd4y9jnbdQd3H47HyP2H6+zMYUDOM0ZrO3rqj2bESuev/oKSogo+vLmlY88Ln5awrymHWcouzXood8/kDIzz/q0jsF62wcR+XPFbAjPkamjURgDFm/edOt1DPNH3/euv/oNqrOPvmxhPXqh9qWfnxDEarCNPmDAPNYrfJfu46xxU7ZsP5tpvj3rFz3LtNPrsWaGY+Hz4fRCP2b2YCd+JL2OzsG/1Ub12UZkCam/QauPWKHDRrEBvTVnHjPqehrTydykNmER0YG246c77BxY83/x6LpxPlTco5PFwAFKB0C57WWPBbxaLR9SdUzvrPWDjEVRdvIVixnrLQBv61zxpqNm+k7KstqOoNvPnXFahgtMXjmEBroY1aYOE2WymSbXiRr+2NqA/m9oEgbU/TE/uOfV3Z9xF+/IufunUWRfvY2fHP3ti1Iavxd61ycZS1b3QuSDvsWGezcqxmUDXsz5WvMfpUV7PH1a4xWdfJY+ZNt+EpbD7kdOMHYQKbY89r7FkubO4mQdoyq8PH9MyOXYBHV+h2reG6mlLgD4DTArsC18c6700Ostxe//vi1sHtZt5XO3N27WZcZmM/eNd2HjviNHh/Uw2TyxqD2a+/MZjDCgPssS7WkA+GhvhwQP3vU4YBGbHjjFzkYsyarf3IdBJsyiS/lWMuH2LngZrEvtae/ijOdIURNTCjgB7CoYVwQEPXOI0wJ7i+Z/PX41rZ86iEe9nA1il2bPml+Eo+4MDIChzKZKFRwGM5O7IqNIYZ38Wez4YtYT6eUUIgYPLx67lY4Q3UbpjLuIowzm9L2RLeRFWklJpoBTWRcmqi5dSZiRfom/mw5cUrWtl8W7/3QgghOq/fBmn7OmUqon4LM+6i/LubH+cfKy8GwKl7eHznxXhs6S0+PlBuxToeccLVjfuL+hWBsuZXSsNVicfsiFCF1eI+zQAN+2xpfbCi88cMV7f8PCJ1qmGfwQoLw9s8INnZY0ZqWjlmTeMxw1UtvxZRv+rUcSN1zY+pFEweUssOk9+jaOKP6N4wtlUaNWoUm6zZbF43EgAbCj0KKgrOdgx3VYADcKAIRxQ/r45CbuN6TYErHNuPveU4DwbgtOICeR2MS8/9qRJDawyURU1HwzGd4cTncF7oW64JfoqJgVZ/IMMwMdwm0bCDaMjFz+8djFmaR/PTqsbnFO/Qmu84bee5aAq0Jq/Z7Mgq7gy8z+89B0Pca9Ei057w3ONDm0YriQr2qFa/T4PWhidv85hN6DT+UERDGlV1UfAkBsxtZuM+9Vba5TCdOM3mFyfaYoU0PltY2XB/7eYgFMWe/9Zj2lp5f9ij4IoYbA34Nu5U3+aZRahJDLnKHzuABjgtZ/2+W74AFv9aJDISjmnU/7VHbH9OHGZjIFaLNB5Dt9r/b9qwB0snFAgQWDYP5i+E1SthzSpYsxI2rudaK+4fsr4kaSsfV9GLVdW27xS7qk5OxfuLxx57jDPOOKPFdbqu4/P5GDVqVMMEu0OGDElyCzsvXG0x/1Y/geLY95t/k0WwzIoFGpVqCDhG6jqf0R8st9CaBmlDcaVPzJb7sqHqzh+ztb5sfEJjcIuF4Ur8nQhWdDzjsXTFaIZM+4ZgCFz1z7MhUAsoQ1G5egjRkAtoIUt3OysgbCoP8VlJYzKIUi0n23QnjcZ/K8MexjBCoEBp8dvApMKfcUz9lnXzprd73zkjVrDDUc+xQ6ix5u/e0dXsHV7FS5V5vLnJxabgKlasXUHJmysp37wey6zf9kf4MfY/IYQQvVi/DdJuzaBtLVO2uro6Ybu2fPnlly0uby1LorspBZqhoTto6BB9WPp0w/qQ5Wdu1SscOODUFh9vODQMh9ZsmV5/hm84abYeQI/bpqP0Fo4JoDtBDze2oaW2dvaYLT1PiD2/hue6jXZ16THjnkdrr0V8uzp0zBb+vaqrajly1kM4rC2xt4geKx+Wrq3Ap6+CsaeQ87vJON8DfoGQphq6pRqg1/dGtYb/xIKVOrH3n8sFF5waJsOpc16wMVvWXQMhm4nCQtX+zLR1ZeQ4i0CDSMhGzg7rGRXJxFzcGNlVmtYwJBti7Wwa/FQq1r49airIzklDiytkfuDOlYRXxDLGXFqIA0rXATCUCm7S56ChCEdt2KIGhj3cMNRO0y0WfXAg637aEWW3Eo6paKybtGNpJRPy3fWvgcXv1Xe43FG0gNHwmnl0L9H6wNcJgUV8sGkCqiyLiL156FfVv44aoMXVdLMAq/6YY6rrSKvUEx6zcUsN3nAuEXvsTXL04CsI5MROksqPWkOtvpF1q1xE7M2DpS29tlr9E936PAflZbNfwKQ6HHsekahic2U1+TVZROyxkOPkmjK8pbUoBVbEwdCTlmF3KtLfyscMmCgNFFrCqPam/57xr226y4nyNZ5ITp/sJBBez7At6UTs9SUaglUcULoFy9Tx19YHUR0mudEcInYfekPdsa1v1Nh7Kv4dFH9Mw1AcX9l4glQ0RqMm+3NySjyYc2IBiXw0DihdRzRiEPQ7sDSNYDqkm5mEHPbGz4oCXSk0FJqmo9X/O0Y7cKIatlsYKDI8+Zw/4l78BU5eSa9gY8SFgYXDUoQccS9o/Lm+Vn8RQUVZXbuQxZVfs7J2Ab/ULmS9fxnW11JruaslvLM0Le7Evf5zpeIu7GjUfyYSdhC72NGZmM3W/WmJj9cAzUrcBuCHlRWsKaljaH5as/1sVV0XYc6CzS2WhupNTLPnvdd7Wt+xLZZlUVVVxffff8/333/P3//+dx5//HGOOeaYVDetXRzpOns97mPjB2HWvBIma0LsPa3rNNZP1SB/ph3v4M7NrezO1Zv1tzQDJl8e+91trQ+YOcZo2Kaj0kcZLe5z3HluzHDsi8Dm1dCNxG1cOXrHjqngnucm4dw8kCEFG1FhcNlp+L6wexRBBbfm7szX5wUZmmVjz6CNcCTMpspKagJ+xhy6huVVOobe+AW10pZBsL68gMMRxbDFlTuwNILB2G99MCvEblEPmb7Gf5ujT1qC3694aZqbTK+bwUWK4ytj+95SHSQQjmU2/LQvLAvG/r2HBmqJBOyE6/fr8QVY7/Oy9aiWqRMOxdqjfCbHVza+RpYFelqYiB0iehS7o/EClkZixZ6IDjkHfcRDY/KxMIiEbJhmrO1jVDm2uNcgFLCz0ePk+knPEtZC2IMRVDSKZUZR0SjKMjnaU8qHA7/ktc/XtP/fTPRCcX3w7dhFsy6EStynanqAreu3fheq+kbEn/xtQ8PxtMQFTfvaLe5HNV3c8mvQ7DlpTfbZ5JjxixPaF3+8bfS1tJY2iXt54l+f+GOquMe1+LJ1oH+39Tw7/iHb+idJWLf1HKB+RYe6lS3sfOvzadLFjC3XoHO/mj1fKvqPmuoD1Zlvv/12rrzySh599FFOP/30dj9uwIABVFdXU1VV1ezk49577+Xiiy/mX//6F+ec0/nC71s72q11xLuLFVUEyyyitQpHhs6yFUvZYbcJCdvMmL4bH7/ZD2ZgFc1ETAitegFf8Gt0veUveVP3sDbjapRmp1yZzFSNQ13/p3LIa7P8QOteXPkgH6x/DgvF1VOewGZrXtohGaaa7zNMbXsA9jptHN8aB7d7n5lqM7PM/7a53Xx9Nqv0Hdq9X9HzRIDvbfCVTeNHG0RamCQlw1LcWqvQacyerdTgUp+OphReBekKfEC6FbudoSBDqfr/wzgLclTH5mCxLIvly37i+28+ZeGCb1i08DsCgbqueeIt0A2D9PQsfOkZeDxp2J0OwrYwAVuAWr2GgBFAc2poDh1sGocPPAmfMxOnw4XD4WR+7dd8W/05hs3GmSN/z6is8Tjsduw2B5tC6ykJF5PpzCa7qgDv2hyMLS4osWFu0dHR0dDRNQNd23o7thy0hgsdGWem4R5qYNjgTw8b/LIJhhfBJVuq0W1gz9IZf2MaS1drVPk1MtM1powBPWRRt9zC5gGHV8fu1bC5wObRsXk0DJeWcDGl1yn5Dpb/r/X1Qw+CQfslrz3dJFX9sc5IZVvjM2nfeust9txzz4Z10WiU9evX89xzz3HHHXcQDoex2+0sWLCA8ePHJ72tnRGqsAhsMdF1DYevr55Sdg/Lgqfegcdfq+ZvRzzMlMHF6PEXdIA/uffkYefOzFQObtIyASgPVFBaW4rL5sJha6vcUe8wxZzDGPUtDloeVWNhEK4ffzVXP4rN+vBW91VesomF337KKPUDp+1qYDUdyhjn++VbOPzP729f4+PYHU5cbi9OtweX24vL44393+3B6fZgdzix2R3Y7Q5sCbcd2Gx27A4HNrsTu92BYbdTZ1VTGlpPebiY8kgxZeFNBKzaWCKIrtVnedRHczQtNjF8w/JYYsJxw//AxKyZ6IaBTbexunYJ35W9j1MVMMI4kDRzGJPGW+i6RsispTy8hW/mDuXLr7IIBA2uvSTEgHwNZelYaMz70eA/z8auJhx3aJQZ0xS6oWGgUV2ncfWdsYymGdMszjnJjCUO6LFmXXGLnZoaxeG+EAdOiaK2KNQWhVVmtZgo3pQ50SDvHAduZ33ylBHry1W9FqHylVgyQO6ZdjIOsKMZWmM/T4fSx8OYWxSaB3SXhu4G3aOhu+tvuzX0res8oDs1NDtoLg1bZuw1bU/fJKoUv4RNFgcjLAlGWBKKcm1BOiOdNqJKEVGxbc5eV8G8QKTN/QGMcdp4dXgOBmDTNAwNVoWiXF1cTbahk2Fo+HSddEMjQ9fxGRoZho5Pj61LN3TGOA3SdL13969En5CKPlm/zaQF2HvvvXnmmWeYO3cue+21V8K6d999t2GbvuCJ/z3WcPvwg4/ktbde4atvv2DZiqWMGTU2dQ0TKRHwh0gP/1Cfwdgyw/LjDf9IrXMaW7DIRacMizSlbVeAFuCQIaczNfsgNtetT1mAFiCL4ja3yVZtbxPPaOegcL2jNRxEj1GlwYd2+MiuUaW33nk0tgZatVi1261B2iLguVqLdNpf8qA9KRV+fy3ffv0JX3/xEd9+PYfKirK2H9SGzKxc8vIKycsfQG5+IXl5ReTkFpCRmU16ehbpGVlkZGTh9qSxNrCKb8vnMr/yG1bVLmVr7r2OFy+JNbGnj9uHnbJ3xa7bsOt2DjaPQaEocBfgqB8u0LRjrpSi8tMwJd/EnRRv43w/BJRpOqZPZ6dddIp2dOIbamB3wAv3Q7oXYknnuQnHGjKy+b5yh3XgRett8neO1e9Z8xaYca+tboeB+/aJAK3oHLfbTVpaYpZ1ZmYmkyZNIisri0suuYRIJMJ9993HAw88kKJWtp8VVZghhaYkQNsZug6H7g5jB6eztvIPFPkW4Q0vRCNM2CjkMvtYntBjgcnR9aeYH294iYipsCsfozMmbGv3vcpP+h4Umr+Qy/pm6xQa4bgfJzuJdcosy2L10oX88MUH/PDFh6xZHpuc9YE/7IZlbrt8yNTROWhay3Ns6oZBZnY+WXmFZOXkk5GTjy8zm7T0LNLSM/FlZJGWnoU3PZO09Eycbk+X9sE3+Vdzx49nxdVVirE3LTkF+OzZ5LkGku8eSK5rIDmOAnLcBWj+wVA3hFCdk50mxS6AjmY8+6mjufEeG8+v0tE0xT9vjaBpYDfB64BFDp1QxIZuQHWNkwEFCps9FmzNz9XQGuap0BlQYMXixDrkKzjuUEWOEWWE0yTfqWPLiAWPDR0evzuMDVhzQZBoKzV7W2WDjEzIGRyL+Gr1Vcg0HfTD7fj2tGHP1rDlaOje5hd7i/6vtSJr26csajLPH2FeIMy8QITFwQihJu+nz+tCOOrPEe2ahl2DwXYjIUjr0KDIZjDQHvsbZDcY7Ij9DbUbjHbaMOL7Vg4bn/u65zkJ0df0iyBtWVkZZWVl5ObmkpvbOIT63HPP5ZlnnuHqq6/mgw8+wOGI/aB++OGHvPvuu+y1116MGTMmVc3uMqZp8vTzTwGw684zuenqW3ntrVcAePKZx7np6ltT2DqRbBffqzEsq4oLdwxjtPENYLdiEzaN1ux8TAErrAhrVXS7a4oFokHCZph874C2N+5GVjtCZO3ZJl41OVjY0NsI1lZq7Zu8S/Q8rzk03mthaKlHKcaZMNlU7BCFsVasE9vS5yWri9oSCgX5+osPmfPh63z95UeEwx0vWu3xpDFsxFiGDB3JwMEjGDx4BIMGD6dowBAczm13qEuCxbxX9jpzV3zI+kDLQzDdhocxvolMSJ/C5MydGJcxiTxXPobe+NnKIhMrqKj8KEzpUj9mQDHkUi+1tfD1Io2vF8Pek2BKQWJgJQBswCCQZrD3fjqegTppA3XSh+r4bRoD8nWcfSNxq3sV7R4L1pYtgFAlONIgZ0ewN5+FXgiA8847j0svvRSlFN98802qm9MuZgisMBhOyczqrGAYDA3GDTeoM6ZQ55jSsG6ZVcbW4uuZ6CileGzpbQRNPwWuYfxph0dS1OquZ2k2vtV/xX7WkxhE0bAAjSg2TGzE//DX1WcUb1q3irnvvsTc916mrLh5cNe02h7cqtAZPXk6BQOHUThoGAUDh5FXNJjsvELSs3LRu7ksTdgMMm/LR/xc+R1FnuHMLjqRiIoSiUawKS9O3UPIaqwZnOMcwCDvKAaljWKwZyQDvEPJtQ+npioDXdMZMjCuXrOC311lp6pGozBPMXp4hKgZy+C2FGSmN5auqq2F7CxwOmPvx6GDYNhgiwwfFOTG/nQdbDrkZin+c1eY3CzwukBv8hIdW+2n5tP6PnuRA+dONlQkVj/ahgIDbLk64dq4Gs4a2HI07AUatgIdR4Eeu52vYcvWsOfp6BmxOt4tcQ0zYFiX/JO0y5aoxe0l1czzR1gbaTtJZF3YZIDdwKVrOOqDtL/PS+OkLDfD7DaGOQ3ybYZkuQrRTXptkPaRRx7h888/B2DhwoUNy+bMmQPAkUceyZFHHgnA/fffzw033MB1113H9ddf37CPfffdl7PPPptHHnmEnXbaiUMOOYTNmzfz7LPPkp6e3iuyAtrj/Y/fZVPxRgB+c+KpjBk1ll2mzeCb77/i6eef4vorb+r1teZE+1TVwSufQp7XxVnjwJm27e1V3OXwKAqbgoEdDFo226dShOqDtN4UBwCKteFktZEpu2kbQ9RaEtFcrNPGMlQtanWbGnIo0wZ3aL+iZwgr2DWseN8eq2vrUIrdIzA7qphmgi2+v9pNfVelFD8vns8br/6Xz+a81aEyBh5PGuMm7MjosZMZPWYSI0dPZMDAoa2eSLTEVCbflc/l3eJXWFy9oNl6HZ0xvgnsnL0bM/L2YkLGRFy2tj/rSldseTOItXUCxWKTXyp1bnwy9p0TVoqxx9rwHerCPdQgbYTOf7/QKczX2X8H2HE82Httr6YHMJxQsEuqWyF6CY/HQ25uLqWlpQQC7Rj32wNYYYUZVtg9EljojIgJwfrvZ1sLXcFjNA9jlJ0NVpThmo2KUClBMxawy3EN6HMBnQq9iC1qIJlx5cCaqiSXd+Z8z3svPsqyH7/d5v4+WVDMUXsMrb+nodsMbIYdw2aL/Rk2SoyRXHP/bV34LDrGskxe+OU+oirCBv8qpuccikN34LQ5SXOksf/Ak3HbvIxOn8yw9PH4nOnocXNE1PnhvCvsKKWx40SLC06NEo2CWR+Izc5UVNVolJXHgq9OT6xfZdhgt2mKwnyTglzFoCLI8IFhxDJejz3I4riDW54IT0UUjlUmWoWGPjn2xlWWQkVBRcDIanxfRtYrtGmg2QEddLsOhkb2MXZUCOwDNBxFOvZCDd3ZM7Px6ywLb5M+nVODt6qDhFu5DmAjVqJgstvOjm47+6Q5Ge20ocd9Zmf5JFYgRLL02tOZzz//nMcffzxh2dy5c5k7dy4Aw4YNawjSbstDDz3ElClTeOihh7jvvvtIS0vjsMMO45ZbbukTWbTQWOrA7XZz7JEnALFg7Tfff8XGTRv48JP3OWDWr1LYQpEs64pjV6BLajPZUDeUzLRtTT6gURuXIWGq2IRHtu2IPK2oWkg4GsKj5WHX7AmZdKnwizaZ0czDRsvZhyZ2Vmkdrxu7UN+LbHMTPsqbrYvg4hvjoA7vUySXH/jIAT8aGpf7FVEay48Ns2BWBAYpi0PDkNl0hoLuapO/lg/fe4U3Xv0vq1YsbtdjPJ40dpy6G1N23JXJO+7KyJHjMWyd/+lXSvGnBeexLvBLwnIdnR0ypzOr4CD2LJhNniuvxRNyZSkCK0zsOTr2HB1lKfy18NkC+GaJziEFNtLWxrL1t6xX5I7R8XkVNXUaa8tg6BgD9xQ3Lie4HHDrjE4/FSHEdvD7/ZSVxUqqDB7csy86Vi2LsuH9MBnjDDxFOnpGzwyu9GTVdRA1IRwGRyujEw7XPMxQUTYqkwxNx7T7uHTy31leuQifLSe5DU6S+fq+7Gm+iEFirU6lFLV1QU679Wk++GpJm/vRdJ2fKrLw4yUv3Y7N7mjxN3SZPrXL2r4t/mgN35V9QHmomMMHn0vIChOORIioCEPTJrKyZj4RK0i6y0uGPROHzY7DcPCbjIsJhmDBIo0XluqMGqbYcxeLUBjCkdh7yOuB2jrYtFlD18HtBrsONhvsv5dFTa3FgALIzwWXM5YNqxtwxAEtB2FbYoUV/vkmtV9FqfveRAXANV7HOdyFiqpYuTdDQ7eDe4JO7VwN53Ad5wgdW44OBmi2+jq6QNYhPXNITlQpfghEWBiI8FMwwqJghNVhkzmjcvHpOkGlCFoKXYNxThs/BmMZwwPtOrt4HMz0ONnD62Antx2XId+LQvQUvTZI+9hjj/HYY4+1a9vrr78+IYM2nq7rXHTRRVx00UVd17gepLyynDfffR2Aww86koz0DACOO+pELr/2UgKBAE/87zEJ0vYTE4bDnH9YLFgGNe79gP/Q2lyPtY4diRqN5UEiKKIoHNuRCfH8yn8wf8tnZDryuXDCvUB6p/fVFYJaGl8YRzDTfLVZzbAoDr4yDsWvZXR4v2HNzRzjJEapeQy3FuKiligO1mrjWa5Paxj6JnqeIPCeA95yaNTVv9c/tymmRiENcNfXl70iFOvkd3dgFqB8SwkvP/8or73yJP66mja3Hzx0JLvOnMWuM2cxcfLO2O1dd3IRioYY7Z3QEKQd6R3LfoWHsv+AQyhyt5wppZQitN6i+tswNd9FiFYosmY7yP6VEyxYslrj1v/FLtg4h7n49RmKtCk2fLk6bidcfyEMGwjTJ2mtBgeEEMn18MMPs3Xu4YMPbv/kmqlQvjDKyqdjv/GDD3Uw7uzmNTLFtt38qMaLH0NuJtz9e0Wmr+XtrPo/HbAZbiZl70quczim1Tfr8JdrA/jEOJ6J1lwK1BpQFsFggI++X8vNj3/LgpXNL9Zv5fKkMWXXvdlpt/3YYdd98GVms1iVsof5MnZqm2ytsUDfh1JtaIv76gpKKVbW/MiXJW+yYMunRFUEQ7MxLetgMpzZuO0uMm3pHDfyQtJsaYxIH4/RQt20QADu+0+sBuymEotJ4ywc9tiFVbsN9tzFwrJg2GBFUS7Y7LFArGHASYe3PxDbrP1RhX+hSe1ck9pvo6gmCf7BZRYohZGuods1NFtsoq30fTUy9+89nYugpfi8LsR7NUE+rg1RaTY/j3urOsjh6W5cukamXceta/wx34cC9kpzMtTRa0NAQvQL8gnt455/7WnC4Vh9qN+ceFrD8oz0DA476Aiee+kZ3njnNSoqK8jK7KoqiaKn0nXISodRgwDGUWI7nlz/K+gqPkCpUevYgVLvcQ1LFqsIDmJXbD1a56601kaqWFgemxXRrjnJcuS28YjkKNMG8Y5xNkPVIvLUOkBRpg1itTaJiNb5AvcRzckSbSZL9JloykRt52RronuFgQ/s8IZDo6bJZGBfOTQOMBUewJXE0ZobN6zh+f/9i3fffp5IG7VmBwwaxr6zD2Of2YczbHjXjAKJWlE+2PwGu+fuix0nteFaNHQOLDySiBbmmEEnMzV3F2x6y10JK6So/jZC5achQusST7xq5kXIOtRJWNMZPAyGFCnWbtJYELRz3SHgdYPHHTupO2VglzwdIUQHBQIBamsbg0WmabJ+/XpefPFFbr01Np/B1KlTOeecc1LVxHYJljUGMdz5ki3WGas3gWlplFYq8jJb386E+uqsMZYCy1Jonew79gaVWgGf60ex9MvX+fSF+1m2ci2bK1ouAWLY7Ow0cxa7H3g0O8zYF7sjcZatai2P94zTGaIWM0CtRMekknxW6TtQq3XPeZqpTH7Y8jEfbnyGTf7EUTKWMqkxixntHYvb5sRpc1HoK6TOD298oPPTUp3xoy0O388iHIVoNPZvXphnUVyqs2mzRk4GuD3gsoPDDpef33UBeyuoqP0ySt08k8BiE6uV69iusTppu9gwMrdODJaE2lRdKKIUc+vCvFYV4MOaEP6WZo6L80vYZLjThkfX8OgaNk1jaLaEfYToLeTT2sc99WKsJMSggYPZd6/ZCet+c8JpPPfSM4RCIZ598X+cf9ZvU9FEkWSmGav95LBBrXNn6hyTSAvPx26WYWlO6hw7EDHyG7aPKMXRqhQFuHWN/5BFXie+Ohy6i/PH38xnm94k3zUs5aUO4kU0Jyu0qayge4aRSYC2Z9ukwd/cGhuMxI66RykOCcNREUV2EvvwW8o28+Rjf+PtN57BMls/mXG7vcw+4Ch+degJjBk7uUvr/a2pW8m9y25kU3A9q2tWcNzAM/E50vE6PIxxjWSPAXu2erxwsUnlp2GqvgpjtXCeWunQGbyrnfKQjjtTIz9X4/oLITMdpk1EJvoSoofYVoZsYWEh559/PpdeeikeT8+eYC5U1niRyJnML/M+ZOpYiEQVwVCs/9gSpRTR+uDR1t8HZVkopTA6UPe8t9m8YQ1P3HstP349p9VtsvOK2O+oU9nn0BPxZWZvc39RzcEqbUdWsWPXNrSJsBnk69J3+HjT85SHEudnyLDnsnvhocweeAwD0oZhWXpCHWLLhBffNDAtjdo62GdmLFvWaYc0D5x5gklmhsnEMQpP5/MdWqQsReAni5rPotR+FUW1cg3bNU7Ht4eN9H1sOAb07n54pWlx3roKWsozdmqwi8fBjm47O3sc7Ox2MN5l63M1oIXoTyRI24ctXPwjPy6eD8DJx/262cQws/bej4EDBrFh43qefPZxCdL2E1uDtFtHKCnNRY2z9cKO5VgNBRECmiKzkxOHOQwnk7P3pMA5DnsLw6OESDYLeM8Ozzs1wnGdWZdSHBqGE8OKjCT2cetqq3nufw/x0nP/JhhsfSKekaMncOgRv2bW/kfg8bQx+18nZdmzqYpUAvBFxUecNuICBvgK8Nq9rT4muMak7I0gdT9Fm60z0jTmWg4+8DtYEzZ4eA+N8UMgzQvpaTC2Y/PzCSFSrLi4mLfeeosJEyZw3HHHtf2AFArGBWldOX03WNidLv+NYs1GKKuIjcpqapWK8pSqxQB8ms5RePileglrq1cSjEYZljYOt61vlZlQSvHhq0/x9P03tTraZeCw0Rxx2u+ZvvdB2Gz2JLewZaYy+brkbd5Z/wTVkS0J68ZlTOeAgSeyS8E+hEIu3vjA4LsFOhNGW5x8lEkkAuFY2XiGD1GsWK2haZCTGRv94rDFArWDCred6bk9Kt+KsuWJcIvrnMN1fHvbSJ9lwzFQ75WByjrLwqnFsl+VUgTqL3xMddv5LhCrfZyma+zvc3J0hpvD012ktzSTnxCi15JISR+2dcIwSCx1sJWu65xy/G+4897bmDf/OxYt+YmJ4yclsYUi2Z77ACpqwGHA3u1MGi2lMZMvTWnYO9nhUUoRjoYJm2G89r7VURe9T7EGD7s0ltkS388HhxWnhRXZkLQRcJZl8c6bz/Lvh+6guqqi1e2mTt+TE04+n52m7d6tJx7+SB2BcITDi05kWd1P/Hb0ZYzJHNPqMUMbYsHZ2vnNg7PukQbefZyoiXbS5uusfQp23wnysmDowFh9OiFEz/Txxx+zzz77NNxXSlFdXc2CBQu47777ePHFFzn++OO58sorG8of9ETxQVpHTu8L2vQEkWjsIn9rcwutJMJ/8YMGQzE4Cg8fbXiB99Y/A8Blkx4m3ZmZvAZ3s5qqCv595xV8/9m7La4vGDiMo8+8mBmzDkM3ek4A7aeKL3htzb8oCa5rWKahMzVnXw4degbjsndAry9NEQnDu3N0whGNSFTnuENN7PbYxF8OO1x0hkleTpTCHEhWNQtlKtJmGlS8BFZ9JRb3RJ30A+yk7WxgL+ydgdmtfgiEuWRDFZfnpzHD46TWsrBrGl5d45QsD0X2EKdkeTgi3SUTfQnRh8npUR8ViUR47qWnARgzaixV1VV8P/+7ZttNGDex4fYT/3uMO278a9LaKJLvvuc11pdo5GUqZu3cvqvcZXGDazLpfIcgbEYImSEMzcBopYalEMlSosOKuPOmDEtxYVCxT+fnrOiUFct+4r67r2bJoh9a3WbPvQ/ixN/8jjFjJ3dLG+qitfx3zUMcM/DXaJYdlEauO4uTMs8ky5XRas1ZgOBakzW31ybMP2jq8LXuYI9zHXgm2NANDZ8XTjwEDt0XJo5qORNLCNGzaZpGRkYGe+21F3vttRcnnXQSzzzzDLfddhsHHngge++9d6qb2KKGmrQaOLN6bwAnlcwoRE1oLWGvPK6vmF7fV6yLVjcs89pamWmsF1qx+Af+fs0FlJduarbO4XRxxGm/5+ATzsHWhZN2bq8twWJeWnM/iyq+bFimobFL3oEcPfw8BqeNprRcQ9di/9b+AIQjMGW8xY9LdAYXKTLSIN0XK0lkGJCf033ZsspShH6xsOfpGOkaVlihgoClMDwauac6MKshYz8bziE9JwjeWaZSPLyljntLazGBx8v9zPA4KLQb+HQNn6EzxW3nD/l953MkhGidREr6qNffeJ2y8jIAlq1Yyh4H7NrmY5554b/ccu3t2GzytuiLLAs2108ym5sB7b3QnBik7dzJzbvr/kcoEmKgawIZrp4xYZjo30ZH4YSg4n9ujT0jiouCimSeu/v9tTz68F957aXHsayWI8NTp+/JWedd0W3BWYDlNUu4b/nNlIaKWVe3msvH3kKWK5ssdyZuW9uF5OyFGs5BemxiMAO2jHBw23I3VUpn3Xz480zweWL1Zr3u9n/vCCF6vgsuuIBnnollSj799NM9MkhrhhSR6lgwyZGuYdjlClFnRMz6TNp2BGkz6vuKdZG4IK3RPaV5ku3LD1/j4dsua7G8wZRd9+H0S24mr2hwClrWMkuZfLzped5Z/wQRq7HNEzNncPzI/2NM1iTm/2TwwGsGdX6NGy6LDad3uyA7Dc79tUl+tklGEmODgWUmJf8IEdmkyDjURtYRDjRdobs1dKeO5tDIPsqBZvSNDsUXdSHuKqnlx2CkYdmCQIQ0XWekw4ZD7xvPUwjRfhKN66Mee/yxDj+mpKyEt99/k8MOOqLrGyRSTil47FrFohUKqwMTq5bFlTvI6kQmrVKKV355mPLQZlyGlxt3eq7D+xCiK9UqiAAHRmA3y2KcIqmT+y744Sv+etulFG9a3+L60WMmcdb5f2La9D27tR0fbH6dR3/5O6aKfcZLw8Uow6QwLb9huGNrlKWwAqAsyD3CRe38CBmHu8l0GtiuB6cfhg+CIYWxoZFCiL6nqKio4fbq1atT15BtSCh1kCnBjs647QmNN+dCXgZcepLC10Jp8goVH6SN/X7U1mfS2nUnhtFzsko7643/PsCzD93ebLnN7uCk317F/kef3uOG2tdFq/lw47MNAdocZxG/HnU5Mwpno9dP4Pv51zrrN8X+zb5boPOrfSy8bkhzQ2rm+FVENsUurFS/HyXrMDu2bB3do6E7e9bruz3CSvHHDVW8VRNMWD7YbvDEkCzGu3tGDWMhRPJJkLYPKi4u5t133wHgsAOO4rmnXtjm9tU11QydWEQwGOTJZx6XIG0fZRgwbSzkpUOdv/2PK1PbV+7gl5ollIc2AzDStyOOdmTnCdHVFhkw3gS/giiQCWRpMLD7Rus1EwoF+c9Dd/LS8/9ucb3Pl8FZ5/+Jgw49sdlEj13JVCZPrP4n7xa/0rBsx8xd+POkWxnobTkDKFJpUTsvQuY+DqwQqIhCc2gYXo2M6Q5sU53U1EG2D+64DMaPhJE9J5lICNEN1q1rrGvp8/XMYbgNpQ4Ah5Q66JSKalhforG+BDSt5R/NmrhMWl+TTFqXkdbmhb+eTCnF8w//hdef+kezdUVDRvK76+9n6KgJKWjZtiml0HFy8MBzeHnt3zhg4K85YsgFpLvS0HWwouAPwf57m3z3o86EMYodJygKslMVnAUrqLDnG3h2NAitsfDtacPwadiyeu/7pyWmUly+sXmA9ugMF/8anEWOTAQmRL8mQdo+6MknnyQajU3gcuKRp7S5fbovnUMOPIwXX32edz54i9KyUvJy87q7mSIFlIr9dST+Ez9xWHYngrTzSuc03J6Q0XbZDSG62vt2eMKlMzOsOCmoyAJyNLAn8Xx9+dKF3HbT/7FuzcoW1x948HGcff6VZGbldGs76qK13LvsBhZWzWtYdtKQszlvzEU4jJYvoNTMj1D8VACrTmHP03GPsmGkadSZGnc/qXHWsRouB+RnQ142TBglZQ2E6OuUUtx3330N93ffffcUtqZ1obhMWmd23wr0JIvXDXmZitpA7HZLquIKk6dtrUlbH6R1G94el2HaXkop/vfPW3j72YebrZu8y95ceP39eNLSU9CyloWtEBErhEv3UBOqQ0NjZsGB7JCxD8sWjuKapwyOPthkp0kWlgUuJ4wdCffdFGHc8OQGZ5VSWLVg+DSUqbDqYhOQGT7I/50TR76G4et7n1mlFDcWV/NmdWOAdlePnTuKMtjbJ4ksQggJ0vZJjz32GADZWdkcsPdB7XrMycf9mhdffZ5IJML/Xvgvvz//D93XQJEyyooFaTvSV46vSduZIO2CLXOB2OyxE7NmdPjxQmyPOfUBWoAvHRo5Cn4bVkkL0CqleP2VJ3nw7zcRiYSbrR8wcCiXXflXJu+wS7e3pTJczm1L/sQafyxQ7NRdXDL2Og4ZfOQ2s5zqFkWw6mIn4OXvhRg61Y5faVxyu8bPq2DJSvjHdTCgoPUTeCFE7xMIBKitrW24r5SipqaGBQsWcN999/HOO7FRWwMGDODMM89MVTO3KVwVV+4go3cGClPturMU5x4BG4ohvYVSB9A8k1Yp1TBxmMto5UG9wCuP39digHbW4adw6h9uxOhB83hsCW7iP8uux214OX7Yn0hz+PA50sh0ZVJc6+B/r8Ta+taHOjOnxkoauN2x3+1BBcltq7IUW54KE1hqUXSVEy0KulND98b+HAV997N6T2ktT1cGGu7v43Xw9ohcXEbfC0gLITqn5/yyiC7x9ddfs3jxYgCOOfx4HI721YA6YNavyMvNo7SslCf/95gEafugimr4eQ1U1UBWGmS2c2RifE3aHDp2ib0uUs2K6oUADHCPJN2Z1aHHC7E95hnwn7j6ZbmW4rhI8gK0dXU13HPnn/jkozdaXH/40ady9vlX4nZ3f9HWkmAxty65nOLgBgByHHncMOkepuZN3+bjrIgia7aT2vlRjAyNAWd5sPl0opUQqE8CsRTkZEiAVoi+5uCDD25zm1GjRvHqq6+SkZGRhBZ1nBk3mtjoQ/Usk01tTZRt5SWsjgvSpqETMv2YKjaqz91LJw17/8XHeOk/dzdbfujJF3D8eVf0qOxgS1k8vPRqigOrAfi65C2OG30+Gc50wiEdr0cxaazFkhUaY0cqMnyQk5maUS/KVJQ8GKbmk9j7w/+tSfreNnS3ju4BrQ9PlLUhYvJYeWPNuZ3ddl4dkSMBWiFEAgnS9jGPPvpow+0Tjzm53Y+z2Wwce+QJPPDI/fy0ZCHzFnzP1B2mdUcTRYrMXQgX/jXWCbjoWIvjZrXvcaXbkUn7U/nXWPWTEo1K36lX1yQTvctqHf7p1lD1ZyA5luJOv2JAko6/asUSbrzmAjas/6XZurz8Ii678q9M3XmPpLRlQ2Attyz+I+XhMgAGuAZzx04PMjJ9VKuPUabCCiqUBfZcncF/8OIeZWC4Y59hpwOu+x088gLc8gcYPSwJT0QIkXJut5u8vDx22GEHjjzySE455RScTmeqm9UqM9Q4DF/v/XNXpYxSYEGrvcDquHIHPrSGScOgdwZpF3z1MU/+/YZmy4887fccc9alKWjRtmloHDXkIh6Z/wDO5Rfzi7k7jlF2KqrAZkB6Gpx9UpScLBhUmLp2mnWKzfeH8H/fmAASLVXYsnU0o+8GZ7caaDe4b2AGl2ysYpDd4M0RuaQbUn9WCJFIgrR9zIMPPsiDDz6IFVUEyyyite2fFefuW//G3bf+rRtbJ1LJH5dN4mrniYpSir9oWaxQEdZaUQo7GGTdWuoAYFzmzh16rBCdVa7B3W6NUH2A1qMUNwcUyZrH6rM5b3HnLZcQDAaardt9zwO59Mq/4PMlJ+usOLiRmxddRkVkCwDDvWP4y04PMMA7KGE7ZSq2vBPCUaCTNsmOFVboTg3DHftz5htEo7ET9coaCIdh1FB49FbI6JnzBQkhOuH000/n9NNPT3UzuowZV2XGcPT9IFB32Vouq7U5DaoTyh3oDfVoofcFadf/soz7r78QZVkJyw889kyOPvOSFLWqdZZlUh2qpcgzggE/P82GtVmsBRYsirDrTgq3C7weGJqsq9StCPxsUnxPCLOi8dw0+0QHeWfb+3T2bLzyqMVYl41nh2Yz0WUn3y4BWiFEcxKkFaKfGD8Mzj5cUVIOQ9pZe0rTNPZRTkYpgzJlkd6BGQWUUvxYH6R16m5G+iZ2otVCdEwYuMetUVHf4TeU4sqAYlT7r1d1mmVZ/Pfx+3jiP/c0W2cYNs797VUcddyZSRsiWRrazM2LLm0I0I71TeLOqQ+S50qcGDK0yaT48QDBNSa6GxyX6TgLDQyPju4G0HjiVfj021j2rMcNhXmxScKkxIEQoicbeaKTwj3tBDZbuPP7RyCoq131gEZVLWR6Fecd1Xy9pRQONAwUJrFM2vL4IK299wRpA/5a/vbncwn6axOW77b/kZx84TU9qsTB/C2fMD5jF/yREHbNjpMMDt/HxQNPQFaGwu2G/Fxw2lPdUqj+NELJg2GI1i/QIP8cB9knOHrUa9qdqkyLkLIotBkM8thw95PAtBCi4yRIK0Q/MXkkDMpTrC8Gewc++WEUETpex3OTfw2lwY0ADEubjMMmM5aK7vekU2N13JC5c0OKGdY2HtBFAgE/f7n1Uj6b81azdfkFA7n6hn8wfuJO3d+QeuXhMm5edBll4RIARqeN569T/0WOKydhu5oFETY94qe+dCBWAPw/RfGOs6PbYq/jv1+ER56Prf/bk3DPlVCYC44ecOInhBDb4siIDaO2eWj4ThMd88qn4A9qjBkM59H8iqeuaXypFbLeirDaNMk3DNZFaxrW95ZMWqUUj/71SoqblCkaPWkaZ19xJ3pracQp8O6a53nnExg84t/8espp2MkmLS2dGTsZuJxRZs20SOsB87UpS1H+TISKVyINy2wFGkWXukjbue+HIVaFojy0pY5L89KIoii0GQx0GBKgFUJsU9//dhRCNLBU/eQPHegbhJQirBTOjjwIGrJoAcZkTO3QY4XojLk2mBM3nPXgsOLo6DYe0EUqykv58+VnsHzpwmbrdpw6k2tufID0jORNmueP1nH7kivZHIpdJBnuGc1fpj7ULEBb/W2YTY8H2Do3oO6GwlPcZM52oMedQMzaFZ57G2r9sM8usVmge9C5qhBCbJtSHe77iBjLigVoAdzbKD2slMJU4EJDR8MfV5PWY+sdNXE+efNZvvzgtYRlOfkD+L9b/oXd0XPqLr+66G0+ffEkjMAA1pfNZeOoFcweNpI0t44vDQ7fLwlXptshvNGi5IEQwaWN7XFN0Bl8gxtbTt/vRGyJWpy9roJ1EZPFwQj/GpzJALuBRzpQQog2SJBWiP5EgQI6cgE3jCKsIL2DV30XVXzTcFvq0YrupoAv49K9R5uKC0Oq20/K169dxZWXnUrxpnXN1h1+9KlccNG12GzJTjlVeI3YSfEg91D+Ou0h8t2NNU6iNRYlzwap+b4xs8U1TGfwxWk4CxNLmkTNWA3rm/8PDAOO3j81s0ELIURnqSSUu+mrNA2+fdRi+VqoqWl9u61huK3hp7r4TFpbz8+kLdm4lqeaTBRmGDYuvOEfZGTlpqhVzX1e/CofV9+PYdsHAFv5rkzLMinI0bYZRE+26jkRSh8Ooxq7GaTPtlF0qRPd1feDlDWmxfnrYwFagKWhKBvCFnum9f3nLoTYfhKkFaKfiJpgmrFs2vbM/7VBRTlDbSFL6WRoOn/GR3sjXpayWFLxHQDp9lwKXMmaskn0VxrwO7/iBSd8aYc/BzpeoqOjFi+axzVXnEl1VUXCcsOwceHFN3LoEad0bwNaYcfJ2UMu4/2ylzhlxNkUeQY2rAuXWay/r45IaVxmy0iDoVd4sWckBmgtC7ZUQJoX9poOBTkSoBVC9FJKvr86Q9Mg3Qv5meDaxvVGRSxQu/V6fl2kMUjr6eHlDpRS/PvOKwgF/AnLjzv3j4yamPqRYJYVG73y45bPeXH130FTWJNuZ3jFVVx/1mCGDdZ71Hu74rUwW55qjM5qbsg700nWkTZ0o+8HKRcFI1y5sYolocahXDcU+jgx25PCVgkhehMJ0grRT1x6n8brn4HTAU9dp8jL3Pb2GzFZg8kazSQbHb09kd1662tXUBOpBGBY2kRshnzViO5lKfADJ4UUp4Whu+eH+XLuB9xy3e8IhYIJy9PS0rn+1n+xw04zu7cBrbCsKBXBCnI9efzfuCvJcGU0rAttMFn39zrMqvq0Mh2y9nVQeKobIy6zpawCPvse9pwWqzubkwn52RLgEEL0PlZEoSwl2bTbQdWPwmrtJ6BWWVQpi1Bcvdr4cgc9PZP249eeZvG8LxKWTdp5Tw464dwUtajRshVOXn4tm9lHfsUzpbeg6l/j43abxG+nDcboYUFPK6ioer8xOOkarzPgShfOQe2feLi3qjIt7i2t5ekKP/EFJ87M9vDn/N5R8kMI0TNI5ESIfsIfBEtpBELgdrZ9trJpa6FKIIeOdQIXVXzbcHukb0qHHitEZ9QCLsCrQVY3BxM/fO9l7rz1UizTTFiel1/ErX99gmHDx3RvA1qwpPpHsu05GJYTn9NHlis9IUDrXxFlwz/rsAKx+7obBl+chm+HxNSoqAnX3gc/LIG58+DGi2IZtFJCTQjRG31xUQ0VC010O+x6t5e0wXLq01FKNWZztuRtAlxNFWiwE3b+QlZCuYOeXJO2cksJzzx4W8Iyl9vLWVfckfKJwn5a5Oaxp/IAePZVO9EZYdDggKFHccG0C3pcgBZAc0LRn1xsvieIY5DOwGtc6M6e186uZCnFy1UB7iyppdxMrAd8QY6X+wdmpPy9JIToXaSnIkQ/MX4olFcraurA2Y4SmcVxQdrcDgZpF8fVox2TsWOHHitEe4WBjToUmrFhlpkaZLT1oO301mv/496/XolqkpY1fMQ4bvnLY+TlF3VzC5rbHNzIX3++FlCcPexS9kmfTY47u2F97cIIGx/2N9SGMzI0hl6ehmdU8y7Aj0thwc+x22s3Qn4O2KSnIITopcxQ7P9WBPTuroHTB60vgTc/h0AIRg2CrPTm21THZdC66vNtzx53Lb8aeCrrq9eRYc9u/qAe4vmH7yRQl1hs98TfXkVuwcBWHpE8w4cHyckJs2WLA1OvBtPF9IHT+OMuV/fIEWoqqjDrwJ6pMehmN7Ycrc8HaDdETC7ZUMm8QCRh+SiHwT0DMzk0w52ilgkherOe9w0vhOgWl5ysOLEUNmxuX1bcRtUYpM3rQJC2aT3aPNegDrdViPZ40anxth1mheGEkCKdjk2K11EvPfdvHvj7jc2W7zh1Jtff8i+8aS2cvSbBC+ueoM6MnWT+WPMtx4w4Hq2+NkG0ykoI0NrzdYZe5cVV1PLP/5QxcN2F8OAz8I9rIa/nnlsLIUSb7Gka9nQNM6gwHKluTe+zdA3c9mSsD3ju4RZTRjXfplo1Zg+m1QdpHYaTNFs2WU4TQ++Zp5srF8/n07eeT1g2dsou7HvYySlqUYxlgT+gE41C9m53UbKhDDXoNYZnjOa63f+Cy+5KaftaYoUVKqAwPBq6R8NI09CMvn9RJNPQWB9pPF/y6BqX56fxp3wfTsmeFUJ0Us/81RRCdAvLig1ba08gKz6TNo/215JSyuLssdfyXemngK1HXu0Xvd8vOrxtB6VpfOiEIhSnRdp+XGf994m/89jDf222fLc9DuDPN9yPw5G6aZVPHfJbgtEgZZHN/GniDdjiToiNdI28Y1yUPBPEOURn2J/SsOe0/HlWCrZUwu47weGzoajnTGgthBCdstvffYTKLYJbLBzpfT9o1NXq4squu1v5mauJq8Dpjbuor+r/q3VgToNkUUrxxN+uS1im6Tq/+cMNKRuavn6Dnfy8CMGQgWFY/BR4mSX6f2AweO0+rtv9rwlljFItUmJR9kSY3DMd6DroPg3Dp2N4+sfnLKIUtabid7leriuu4Yh0F/cMzGS4U857hBDbR75FhOhPtk7+0I7+U3xN2oIOZNIauo0pOXuQ7xpD1Iy2/QAhOuFZp4aqfyMPMBUnhGl9VpPtoJTiP//6C8889Y9m6/aZfThXXH03Nls76od0E8uKEogEuXDUVfjcHnyOxmxepRSWX5G+sx1buk76rnZsaa1/lqtqwG6DrAwozElG64UQovspFfvrjt+Ivm7GRPj7pRbri2H04Ja3CcXdjs/xVMpEKdWhiWeT5btP3mbVkvkJy2YdfgpDR01ISXt+mO/h2RdzKCwIc+LxW4imLeblNQ8AoKFx2fQbGJnVQhpzikTKLDbcECRaqohsCjLgahe2dB3d3Xc/ZEuDEVaEoxzsc1FtKapNiwxd59eZHvb2Otnb1/MynIUQvZMEaYXoR0yr/ecoxQlB2o7NyhoyI0SiERw2GVsout4iAxbZGt/JF4QUriQHaH91yPH84Y+3Yxipm7FYKUVloBqvw0uWO4NcT07COssfuyhj9+lk7WO0OvTw3y+ALy2WQTsgP1aHtj0XcoQQoldQsT9Nvtg6LD8b9tgB1heArZWfu1BcTVp7fS/z0Z9vIRiNkGbksp/32GQ0td0s0+SFf9+VsMzry+CYsy5NSXtMEz753Ec0qrF+g5Pvf3DwY9FtmCqW6HD8uNOZPfSAlLStNVatwqyO/btHyxVE6bMB2jXhKP8oq+XVqiBOTWPgUIOBNoMiu0GOTSfH0BnhSt3FeiFE39PzLm0KIbrFUVdo/O4ujcffabsTFVAWlXGd7o4GaSNmhLAVxd5D65CJ3ksBLzgb38OToooZVuvbb48n/nNPiwHaI485nYsvvyNlAdqoFeGepTewsGIemq6T4cwg250FQHBdLHPJqotFJYw0DcPXem24L3+AR16Aex6D/7wEOZmxbFohhOhL+mb4KDlUfams1mLc4SZBWktZvLvuf8zZ9DyLKj9PUivb74v3X2HjmhUJyw495bf4MrJS0h6lNI44rAKXy2KfPaswJ97GZv8GACbnTuWcKRf1uAsM9kKdvDMc6F4YfIsb9/i+13FYF45y5cYqDlxZxstVQSwgoBT/KqtjkMNguMNGns1A72H/NkKI3q/vfaMKIZqxLPhhWawToWuqja2hPK6+mKYgq51D1SpDpXy+6S2ybYPw2vN67GQRovf6wYAVcQHH00Ntv58747+P38dTj/2t2fITTrmAs867IqUnTM+s/Q9fl3/Kt+VzOX/EZRyfewq6plP+QYjSF4PkHuUkc08nNu+2A7QAv2yInXgrBbtMhgxfEp+IEEIkgVLd8zvRX2wtF9HafAbxQVonEIzWoeqXuY20JLSw/aLRCC89ek/CsozsPPY/+rSktsOyYpP4BoIawZDO4IFhrr5iPVtsX/GX714DwGPzcvkuN+C0pa7mfUtURKGCCt8+Nnx72XEU9q2crw0RkwfKanmxMkDTom0jHQYX5HoZZDd6XOBcCNF3SARFiH4gHIHsdEVdAFzt6OtVxXW4vWgY7cxBWVzxHU8uvxOAAweczkFDftOp9grREgt4Pi6LdueIYoduOPd+5r8P8NgjdzVb3hMCtEuqf+TNTbHZqB26g2m5u+AwnNQsiFD6YmyGl7KXQ7iHGDhnONDamCXwsH0hNxt+XgnnHNftzRdCiKSxoorSbyOYAYWywJndt4JJybBmE/yyESqrYcyQlrdpWu7AZfNwz8y3WFO9GjPaTUNdOunrj16ndNO6hGVHnHoRTpc7aW2Y/6OHL79K46QTytA1SE8zyfCZeNwKl38QozLHs6JyCeftcDHDMkckrV3toUyFWRcbpWPz9a0atJvqg7MvVAZoOg/tMLvBlQU+zsj2YE/RxHJCiP5DgrRC9AMuJ3z1b8W6TbGOdpvbo3EwLjYrE70DgwSXVc5vuD08fWInWipE676ywfr6rFBNKU4Ld32E9sVnH+HfD97ebPkxJ5yd8gBt0Azw0Mq/NmQonTXi94zPmgSAZ5yBZ7yBf4mJb5od33R7mwHacARq6mDWLnDqEZDC8rpCCNHlIjWKby6rA8BdpLPHA1I3sqP+8aLGcx/Gfkv+d4NFmqf5NvEThznR0DWDbGcBYTeEoqHmD0gRpRRvPv1QwrKcgoHsc+iJSWvDL6ud/O+5HExT4613Mjn5+C1kpJs466dw8NkzuHCHP7OudgWHjToqae1qS7TCwsjUMGvBcGsY3r4VoH20vI6/lNQQadKtHGI3uCLfx9k5HhwSnBVCJIkEaYXoJywLLBUbXtWWEZqNO8hinYpSo9o/29ihQ08j3zWUReXfMcw7dvsaLEScKPBiXBbt7lEY18Ux2ldeeJQH77+p2fIjjz2D8353dcqHtj2z9t8UB2N16nbM3IXjh/0aqB/KG4WiM9xUfxMl9wgnun3bH3SloLwKMtNjmbTunjWaUgghtpsZFx80ZB7TTgnHpRS2Vq88PpPWUd9hVFhYqB5Vr/PHr+ewbtXPCcsOOuEc7I7k/QBuLrGhaQrQSPdZZGWaDa+rqSyqw7VkuTMZn38whtEzTtNDayzWXx0gfT8b2UfZ0dN09J5VxWK7DbYbCQHaQXady/PTOTfHg1OCs0KIJOsZ3/5CiKTY1sQPTVkoFKpDU4ZluwrZIXtfBrt3wGlrId1CiE6aZ4OS+sxQQylO7eJatO+8+Sz/+Nv1zZYfduSv+e3vr0t5gHZx1QLeKX4ZAI/h5fIJN2CvjzpY/thrYc8wyD/ats0atErBjf+ESaNh7+mQ6Yv9CSFEX2PF/U7okkTbKfvvoshIg4qq1i/mnaWlsVJFKLNMhmmxXqNSKnYBsZ1zGiTDG08/mHA/LT2TvQ85Ialt2HmqnwFFEVaucnLUoRXYbRC1ooTMIBHLwmVzk+Hy4bF7k9qu1gRXmmy6PYgKQdWbUTQdCn/vSnmfqCtVmRZjHQaTXDbKoxaX5/s4P9crwVkhRMpIkFaIfmLrxA/t7VeZKvbXkW5YxIwStaLYNFuf6sCJ1JsehQv9Fi87NSaYMLwL9/3ZJ29zz51/arb8oENP5MKLb0r5ezlshnhw5V8a7p8z4g8M88Xq1JmBWPEDu09vc5IwgI++hnc+i/0tXQX3X9v+7wQhhOhNzPggrUO+6DrjkN1h6ljFxs2tB2kP1tyUKAcbVZR0TWdZ5QK+Kn4fy4IJWbuR5kh9XdXVSxfy8/yvEpbtd/RpuNzJSyhQCur8OoWFYSaOC+Coz+5+d/WrvL7yOQ4bcRKHjDiCTGdm0tq0LXXfRSn+WwhVn5FuZEDOiY42+xm9SUQpqk2LgQ4bTw3JZozThtuQ4KwQIrUkSCtEP7C+BP75okYwBJNHKGZPb/sxW6d66EhN2ogZIWJFsfWQIVqi71AKRkXhpqgiU6NjVw+2Yd53n3PbDb/HshInNzngoOP4wx9vQ+8BmRQvbXiKktAmAKZm7srhmSew7r468o9xYWRoGGmxv/acOK1Y03j7qANoqIMnhBB9jRluvK3Ld13n1V/kb3MjYj/Ny6sW8Oa6RwHIdw9hcFrqg7QfvPJkwn27w8n+R5+W1DaEwhq6pvC4FC5X7PXaEijlxWVPEjQDPLP0YWYN3b9H9KGrP4pQ8lB46z8rtlyNQTe5cRT1/uL11abFfaW1/D7XS52CTEMn26aTa+v9z00I0Tek/ldACNHtNpfD0+/FAjgOO8yevu3e9pcqxBqiRLAYhg0fbQeq3l33NMFomAy9kKG+cV3SbiG28gNOwKfF/rrC0iULuP6qc4lEwgnL99r3EC654o4eEaBd51/N6xufBcCpu/jDqGvZ/GCY0DqLdX+rY9BFHpyFdjRb+16U3xwB44bDyvXwqz26s+VCCJFa8eUODMmk3X7beAlV/Z8G+KM1Dcs9ttQXL62rqeLLD15NWLbb/keSnpmTlONvKraz5GcXUyb7ycowSfOYDS+lw3AyrWA35m78kMNGHc/o7DFJadO2+H8yEwK0zhE6g25y9YkA7bpwlLPXVbAqbLIxYnJTUTrZNp1syZ4VQvQgEqQVoh+IRBtv24y2a3n+V9XxPkHQ4SzlZRhtF3N7+ZeHqQiV4LPncP1O/9ue5gqRwFQQBLKAriqfumb1cq7642kEAnUJy6dO35Mrrr4Hw0j9yYilLB5ZdQ+mMgE4ecjZeN8cQPW62EwuVkih2bR2D+O1LKiqhhk7wrG/at8kgkII0VvFTxwm5Q46x7ISA7Ct2dqz1IC6aHXDco+R3n2Na6fP332JcCiYsGy/I3+TtOO/+XYmPy9zM/crHxedX0xRQeM6jz2NY8ecwawhB7HzgBkpL68U3WKx+d5gwz+oZweDQTe6MHy9v8MQUYrz11eyKhzrU71fG+LXoSjTPI4eNcGdEEJIkFaIfmDH0fDmXRbrisHjanv7KhqHfqe3Y1x5ebCEilAJAAPcIzD01Ae4RO9nAW86YHIYchWkadAVpdA2F6/nT5f8muqqioTl4yfuxPU3P4QjiTM9b8uckrdZWvMTAMM8ozh85elUftk41fbA87ykTWz/bDg1deB0QoYP0mRePyFEH5dYkzaFDenFjrhcY9EqyEiDl29r+SL/tVYlYRRhTXEGXvyRnpNJq5TioyalDkaM35FhYycn5fhlW2wsXxnreDsdiqGDEkfu1EbqcNncTC2cTrYrKyltao2KKjbdHcKsj7HbCzUGXtc3ArQAT5b7WRZqzFq5PC+NkzPd2CRAK4ToYSRIK0Q/4HLC0CLQAdNse/vKhCBt252zVdU/Ndwe5E39UC3RNyw24DmnznNOmBJR3BZsOwu8LRUVZVxx8a8pKy1OWD5s+BhuvvMx3J6eMaNybaSap9c+DICGxmXRO6h8vfFzmXOwk4zd2xeg/ew78Adh0mgoyoOczO5osRBC9CymlDvYbuEIWEpDKdXiJJOWUjyLP3ZHh5OVh7r4cgdGaoO0Sxd8w8a1KxOWzT7y10k7fm5OlAvPL+ajOensNqMWZ/01YKUUJhb+SJACTy4Zzoyktak1ZY+HCS2P9TM0Jwy8xoUts28EaEsiJveV1TbcPzXLwx0DM1PXICGE2AYJ0grRT6j6iR/ac8G4qsNB2kUNt4ekje1U+4Ro6mN745vVCWzvOXZdbTVXXXoqG9b/krC8sGgQt939FOnpmdt3gC70/PrHqa0/0T1J+y1pLw9uGE7qm2an4BRXu4ZFBoLw1/9ASTlMHgNP3BGrSy2EEH2dlVDuIHXt6M12GgNpboXNaLn/GG5y34nWUJNW1wzsRjuGb3Wjz999MeG+15fBjFmHJe34pglpPotTTy4jJyeWJaGU4pavr2BY+mgOHHYUPocPu5HaH+bqTyNUvduYZVrweyfu8X0nTHBHSQ11VqwXlWlo3Dkg9UFxIYRoTd/59hVCbNPWIG17VNG4YUY7yh2sjMukHZY2vsNtE6KpKg2+j/uFOjiyfVm0oVCQa/50NiuWL0pYnpWdx+13/5fc3IJWHpl86/yreb/4NQCGBEdxwOenouqrHLiGGwz6vQfd1r7sli/mxwK0AAPzoSA586QIIUTKmeH4cgeSSdsZt/9Osa4YNpa0vD5E4m+zU9Ooi8TGy7t0b0rLX4VDQb6Z81bCshmzD8fhTF7gOBDUcTksPB6LrT/bXxd/xuItC1i8ZQEl/o38dd8Hk9aeloRWm5T+qzHcnnmonayD+s5Vja/rwrxW3ViT+IaCdArsUpZNCNFz9Y0xDEKIbVpbDK9/Dp/Oh5KKbW8bUopgXKe7rUxapRQr6zNpMx0F+ByZ29laIeBzG5j1aTs5lmJGO8p0tCYajXDzdb9j4YKvE5Z709K57a4nGDho2Ha0tOv9d81DWFi4I16u+PYBVG3sdbDlaAz5oxfD1f6f7lm7wi0Xw5SxcNX5MlmYEKL/UHGTpuqSltJpltX6KKymQVpHXCaty/CmdCKseZ+/T6CuJmHZHr86JinHrqoyCIchEtXwuC087tjrZCmLF5Y+0bDd8WNPS/k8DlueiaDqY7SusToFv+s7AVpTKW7a3DiR3Y5uO7/L7RllrYQQojXSZRGiH/hmMfz5wVh05rKTLEYOan3b6rhSBwBp2rajOmXBTdREYpHfAZ6R6G1sL0R7zI0rdTA7ArZOnudZlsVdt1/OV3M/SFjudLq4+Y7/MHLUhO1pZrc4efDZhMIhjv7od3i2xIbk6W4Y+sc0HDkdO5mr9cOUMfCrPWBgz0kWFkKIbmfFBWk1SZzrFMW2S2XFB2l1BYamUbs1k9ZI7QyVTUsdFA4azsjxO3b7cZWCx57Kpc6vs8+e1czeuxqjvmv8bfFcNtatA2Bq/q7sOmBmt7enLblnOti4PogKKwZe60J39p1+/IuVAZbWTxamAfcNyMCQq9VCiB5OgrRC9APRuCxEWxsnKvFZtJoCRxtZECurFzbcHuQZ3an2CRFvnQ7rjMb33YGdLHWglOLB+2/ig3dfSlhuGDauuekBJk2Zvl3t7C4+I4fLNtyNXuyLLdBh0IVe3MM79pNtWbEgbW4WZGd2fTuFEKInU9G4/owEaTtFqVigtrWeYDiuz2gHLGUSMGMTNLmM1GUsVpWXsvDbTxOW7X7g0UnJ7F26zMW69bEZwn6Y7+XQX1UBsT7JKyuebtju5Alno6c4i1ZFFYYDBlzjRLM0HEV954NSZ1ncW9o4WdjxmW729KW2RrIQQrSHBGmF6Ad2nQg3nWdRWg5jBm972/gOd3sGPMVPGjZUJg0TXeCLuLTZ0aZiSCf389/H7+Pl5/+TsEzTNC7/813sOnPWdrSw+4SjYdQyG/qnjTNiF5ziIn3njg0//Gl5rAatywkZaeB2dnVLhRCiZyua5cBTpBOqUviGSfZcZxx1hUYkCsML4YrfNL9gGj9xmB0Nf7QxKOYy0pptnyzffvI2lplYJ2n3A45KyrEzM03GjQ3w81I3hx5U0ZAcMa/ka9ZUrwJgcu5UphfumpT2tEZZCrMODK+GfYCB4elbdZttaJye7eGfW+qwlOK2IpksTAjRO0iQVoh+YPgAyPTB+uK2M2njO9y2dkwa9kv1kobbQyRIK7aTBXwZN8nxvp3Mon3t5Sd4/N93N1v+uz/cwKz9j+xc47pRXbQWXdPxhwJ4lheAin320mfYyTm4YxHWb36E/7sVJo6Cy86EyWO6o8VCCNGz+YYauHJ1glss9L4Vf0oKy4IFy2MvnMPW8m9xqEkm7dZ6tADuFGbSNp0wbMyU6eQVtZGl0EXyciMcc1Q54SCMGxtqWP7qimcabp80/qyUZ9FadaDbQfdofS5AC+DUNY7OdHOgz0WJaTLcKWEPIUTvIJeVhegvVOyvrW5YRzJplVKsrvkZgCxHAV57+nY1UYhlBmypP5vWlWJ2tI0HtOCjD17l/nuubbb81DMv4YijT9veJnaLF9Y9zkXzTuHjsrdxHBom9wgHzsE6A87zoHegfpplwT/qR1MuWgHBENjlvEQI0Z917lpfvxcxITNN4XIonPaWtwkl9Bk16iKNQVqXLTVB2urKLfzcZKLQXfY+OGnHD4V1nA6LoUMi2OvjsMsqFrOiMpbUMDprArsN3DNp7YmnLEXlOxGi1bH5J4w0DcPX9wK0ACFLEbQUwxwGx2emtj6yEEJ0hJy6CdFPbK0r1laUdhx23iKPtSpKjbK2uX1luIzqSDkABe5hMmmY2G7xpQ6mmJDdwcd//eVH3HnzJSiVeFZ+5LFn8OvTf98FLex6JcFi3t/8OlEV4e3Nz3NS/ulkH+Ai7ygNw92xz5Suw3knwP3/hcx0OGzfbmq0EEL0Blt/CvpmHKpbOe3wzaOK9cVQUdXyNomZtBp10eqG+6nKpP3+s/dQVuIkuDvv9aukHNuyIBTSSPdZeFyNbXhrVWNt/GNGn4KRoiza2i9Myv4TpvJVjbyzHWTMsqP10TTzCtMi09DJthkYSahFLIQQXUWCtEL0A1uqYF0xlFZAQQ5s63qyU9MYgg1NQTXWNrakIYsWYIB7RBe1VvRnU6OKCg1+ssGsDpY6+OnHb7npmgswzcT029kHHMUFF12blAlDOsNpONkjZzaflr3H0QW/oSCrAMPd8QDtVmOGwUPXQ5oXbPIrL4To79S2pr4S26JU7K+1n08NyEYnqBRutMRyBzZfchrZxLdNSh2MmrgTOQUDuv24X33jxe22GDE8hNtlNfz+lviL+bZ4LgD5niJmD01OwLgpFVWUPxsrahbdooiWKzR73/pcKKV4oSrA3l4HCsg0DDKNvvUchRB9n5y+CdEPPPqGxv0vxDopf/uDxU5t1Khsb2hsTXyQ1juyk60TotGUKAyKKlzAYI12n1evXLGYq684k1AomLB8xu77cdmVf+lQyYBkSzfSObroNA7NO57xvkkYbg29k/XhQmGIRCE/GwYXdXFDhRCit1FS62B7bA3StvZbvKfm4hMKWKei1CqLBXHlDjwpCNLWVleyeN4XCct23uugbj9uIKjx+ltZhEI6QwaHuObyDQ3r3vnlZVR90sPhI4/HZXd1e3tapEPWCXbKn4mABVlHtlLDohf7tC7MVZuqyTI0LsxN47I8e4+9QC+EEK2RIK0Q/UAkboJbeztHWLUn72RNzdKG24M9ozvcLiGaChOrhZyjgbOd/eoN61dz5aWnUldbnbB88g67cvUN/8Bm69knIv7vFC5HBoPHDiEzIx3dq3X4pGJrplNVLWSkxUod9OC4tBBCdLslD/jZ+HEENBh7povcqT37t6Cnaqs/GJvyQKEBuqaT7SykLlKNOwU1aed/8WGz0TTT9+7+IO3CnzyEQrEf3VEjgzjr5/sMRgN8sv49ADw2L4eNOrbb29IaTdfw7mTDu4OBCnd+tE5PZSrFHSWxiwQVpuKT2hA3FmWkuFVCCNFxEqQVoh+YOlZx3KxYACezHYkNFqqhw70tq2tjQVqX4SXHVbj9DRX9XghwAe52bl9Wtpk/XXIKFeWlCctHjZ7ITbc/gtOZooyVdlBKYZaC9loG9ohOdIYBp4Nu63jWxzNvwfeL4Jj9YY+dIT2t69srhBC9SbBM4d8Qy2A0w5JR21Gby+Fvz2oEQjB+qOJXM1reTtWPv9KAvQccwZSsvSmpLcFpa2v62a43/6uPE+4PHT2R/AFDuv2406fV4XJZfPu9lwNmVTYsn7vxYwJRPwCzhhxMtrujlfa7jjIVRBRGpoYtq28FaAFerw6yPBQL0OvAXwZIgFYI0TtJkFaIfuDAXWHaGMX6zeBtI/r1uvJzl6pGAyZqdq6g5U6OUorJ2TNwaC7smgubIV8novMUsWzQCJABONvxmOrqSq685NcUb1qfsHzgoOHcetcTeNPSu6GlXUMpxa1LruDoub9lWGQyAGYZ2Doxy3IgCE++FpvY5Zsf4bOnWq8fKIQQ/YUVbQzMdubiV39XWglPvxd73bS94VczWg50WySWyVKo2OgOkjs5lhmNsvCbTxKW7bTb7KQc27JgyOAwO07xk5MVG76mlOKDNW80bHPk6BOS0pbWWAHQXRq6W0frY3Vaw0pxX2ltw/2jM9zs4m1PT1IIIXoeiaoI0U8oVd+JbqNfVo1iExZoMEC1PnGYpmmcMuqPFNduxh/2d2lbRf/ziFOjRIcpEcUBZtulNgIBP1dffjqrf1mWsDw3r5A77nmKrKzc7mtsF/ix6jsWVn3P0nG/5Tz9Rqat3ZeBv/Wg2zqe3VJcBmnuWJD20H1h6MBuaLAQQvQyO1zpZew5JsEyC1cfzBzsbuFI4+3WSmVVK4syZVKpLLa+wkpZWCj0JMcBl//0Pf4mZY92mDkrKcc2LQ2bobDbGkehraj8mTXVKwGYnDuVMdljk9KWlqiogqhC82no7R2q1Iu8UBlgXX1tNztwU1HPvUgvhBBtkSCtEP3E1kzFtvrMobh8CHsbW5tWhKgVxWYkN1tC9C1R4Ds7+DWNn20aIwMWQ83Wtw+Hglx/1TksWfRDwnJfeia33/UkBYWDurfB20kpxQvrHgcgbAuRe5SLUYU+nAM695M8fBDceyV8uwgO2lOyaIUQAsDm0nCk61hh0PvYLPbJMGE4vHWXxdrN4G6lcsET1PF3akCHWcrJVWSglEJhobV35s8uMv/LjxLu+zKyGTF2SlKOHY1qGPVB2q0+XPtmw+1DRhyLpiX/QkG00mLL0xEyDrThHKRjeHS0ZEfPu1nQUvyzrDGL9uQsD+NcUn9aCNF7SZBWiH6iIUjbRt8sHBekdbTRwY6YUaJWFLuUOhDbYYkRC9ACOJRiRpRWryZEImFuvOYC5n33ecJyl9vDrX95nKHDx3Rza7ffj1Xfsbx2CQBj3BPZZ/AsHDmdv9ARCIJhg2MOgEEFXdVKIYToA6QUbae5HDC0KFbfM9LKhdOwSryw/89Ff2Z9zSocuodzxt6YnIbWW9CkHu2UGfugJyGJ4KtvvFiWxvDhQQrzG9OPjx97OhmOHFZWLWHW0AO6vR0tKXs0TO2XJjWfRck7zUHOKcmvE9zdnq7wszkaG/nn1OAGyaIVQvRyElkRoh+47O8a730VC9A+ca0iaxuTh4USOtytKwtsxLJ0TMvCY5OvEtF538XVCtwxCp5WArRmNMqtN1zE102yZex2Bzfc+jDjJuzYja3sGvFZtAC/GXYeTp9zuzJbqmsh3RebFFCyaIUQIpGSQG2nqfq/1n5aQgkX9uGX6sWsrV2G15aR1MzRss0bWP/L0oRlO8zYt9uPqxS8/V4mdXUG2VkR7r59XcM6j83H/kOP5DTf+bjtya8xUDcvSu2XjdF1z1QDrY91EmpNiwe3NGbRnpXtZahDzkmEEL2bfIsJ0Q/U1EG1P9YxsxnbPlsJx91urdyBUoorvj6WQNTPKN+OnD/+tq5qquhnLOC7uF+iPaItvz9N0+SOWy7m80/eSViuGwZ/vv5+pu68Rze2suv8WPk9ZaVbwA1jPBPZe/As9E7ObfH591CYC7408HkhzdO1bRVCiN6uIUDbt2JTSaPUtkdhhZqMvtI1A0Oz4dQ9SQ0I/vjVnIT7mq4zZZe9u/24W8pt1NXFsnWHDgkn1OENRAN47S68juT/OFshRekjjT36rMPteCb0vdP+xyv8VJix96BX17i6cBtZKEII0Uv0vW9rIUQzQwth/FCFPwj2Nj71TbMiWlIVLqM2UgWApul97sq8SJ7lBlTXn9UYSrFHC6UOLMvi7juu4OMPXktYrus6V17zN3bf68AktXb7KKVY924Jt/34PC+Nf5A9D5uJ0+fo1Oenohquvx8CIThkb7jrCsmiFUKIeKEKi1CFRaTawubUwSZfkh2xZhN8tgBqamHc0NjFwKYS+oxK47Zdn2Nj1SZKA6VJbCksmjc34f7oiVPx+jK6/bhZmVHOP2czq35xMmJ4qGF5VFkEzQhZrky8KciirfksSrQs9m9jy9fIO6PvlTmwlOKNqmDD/fNzvBS1dZIjhBC9gHyTCdEPXHW6YlMpbNgMtjbKc4XbMXGYqUz2LjqSX6qXMsSbutlqRe/3bdxJ82QTfE3eckop7r/nGt57+/lmj730T39hn9mHdXcTu8zSn5exz/xjMJSNk366mIJdneg7di5o8MK7UBeI3U5Pa/nkWQgh+rNvLq+lcnFsuPfMf6SRNjDFDeplvlkCVz8UK1nwx5MtRrYwJ2f86CuHBsqyAIXD6OQQkU6wLIvF875IWDZxWnJG1xgGFBVGGDQgTF5OFICXlj/F2uo1zCjam+EZg1MyYVj1x9GG27m/cWCkJb8N3U3XNJ4fls1j5XW8VxPiygLJohVC9A0SpBWiv+mCicNyXIWcOvoqims3I7NyiM5SwLy4X6Hdm5Q6UErxwN9v5PVXnmr22D/88TYOOOjYbm5h17FMhf31LAwVe8KBseXkzB7e6f2dcRToGrzzOVxyumTRCiFEUypusqsUxMl6vUhjnA97Kxf4Q00u7FtKYaHQSd4Lvm7lEmqrKhKWTZy2e9KOH41quDwWdpvCUiYfrX2b8mAZ80u/Ztaw/ZPWjq2Cq0xCy2MTaeleSJ/Vd0/3Q0rx6ywvVxX4yGkrC0UIIXqJvvutLYRI0NbkD1sl1qRtXcSKYFpRnLa+N4RKJMdGHUrjCrjtGXdCaFkW9997La+//GSzx/32/67nkMNPTkYTu8zauZsYsCWWdR5w1DLp94PQjc6fxIbCcNgsOOd4GJDfVa0UQoi+Iz5Ia8gZT4fNnAQ3n2dRUg5jhrS8TbhJiSwLFathm8QiwIu+Tyx14HC5GZmkiUQtK/ZntytsNtjsL8FSsQDpLoV7kuPOSUo7tlJKUfZEY08+fR87hrtvXqGIKoXfUgyy62RLgFYI0YdIl0WIfkKp9gVpm2ZFtMa0okSViVeTjpHonPlxb52RpmLrqYxlWdz7lyt5+41nmj3m7POv5Khjz0hOA7uICoDvw6KG+4H9NuPOHdzp/VkWVNVCXjbkZkkWrRBCtMSKG50hXZWOGz4AMtNgfXHr8xnE9xn9oTLu+Ol6dBxMzNiNGe7k1ItvWupg3A67YLN3fwLBf5/JweczmblrDXZ77HUo8BRx654PsrxiMcMyOj9aprP835sEF8eCxJoLck7eVrpF71ZlKny6TqZNxyYdISFEHyJBWiH6gT8/qLFiPThscNM52y5PsIvmwKagSlkMovlZjVKKYv9alGnDsix0Xb5GROf8EFePdnr9ybRpmtx1++W8/84LzbY/7axLOOGU85PWvq5S9paftGABAMWZq9nj+Emd2k/UhM1l4HWD2xmrRetN/nwkQgjRK6i40RmaTBrWKVsv8Ld2zT4+SBuKVLGo4hsACl3JCVBGoxGWLvgmYdmEqbt1+3Erqwx+WBArBv/Laic3XLWhYV04GmGn/OkMTE9uEWSlFOUvRRruZx/jwFHU965O/LfCz6aIya98Tia67GRtx6gkIYToiSS6IkQ/8N0SWLpWI8un2sy6O01L41BlslFFcbWwcWW4jD98cTA2zc703IM4YeT/dVOrRV/3u6DiC0Ox1KaxexTMaJQ7brmYjz94rdm2Z557OSf95ncpaOX2sYp1PN/mNtwPHrUZl3unTu3r1Q/h3sfhoL3gdydDTmYXNVIIIfogK74mbd+LVSWFavhPy+JLZKlooOG225bWXU1KsGrJfIKBuoRlE6d2fz3adescaJpCKY2dp9Zhqz+jDpsRdDRcdjcOI7lZrIHFFqEV9bVo0yD7uL6XRRu0FPeX1lJmWjxR7uc/gzMZ7ep7z1MI0b9JkFaIfsCM9dkw9PYPjY6VRmi+8braFQBEVQSX4emiFor+KN2CGRYcFlVkRkLcfOPv+fyTd5ptd97vrubYE89JQQu3X83bJg4Viw7MGzqH42Z3bvhnTR08/Hwsm/bNT+Ds41offiqEEAJUXLkDXeI4HVZSAeuKYUslDMhreZvfamn8oqKUWiauYGnD8mQFaRfP+zLhflp6JkNGT+z2406eFOCPf9jEL6sdTN0pFiQuD5ahaw6cdjceW/KHudR80pg6nnmIHVt638swfbbST9nWkxoUe/mcKW2PEEJ0BznFE6If+ODvitUbFeuL27e9IjbEraWA7vq6FQ23C9ytzCQhRDuEiU00YtbV8Oc/n8v8JnXlAH73hxs48pjTk920LmFt0HH8HBsOGdHD2A6rw23v3IUNpwNOPgQefxUO2hOmd65ighBC9BtWfLmDvhev6nYPvazx79djHcGHLrdI9zbfZj/NTUn96KvPQ8kP0i5b+F3C/XE77Iqud/8/tlJgcyimT/OTl2sSNsNcNudsMpxZHDjsSE6ffG63tyGeFVLUfhUXpD2o712VCFmKh7c0Zk2flu1lgFytFkL0QfLNJkQ/oWvtz7zbmnvSUtLt+trGIO0AT/InRRB9RxgIV5Rx1+WnsXLZT83W/+GPt3HI4Scnv2FdJPR+40nS18Pf5ZRdjur0vuw2OGCP2N+gAkjCOagQQvRqDTVpNdBt8qXZUeHG8qY4thnzi/Ua/dGahiVeo/uDtJZpsvyn7xOWjdlhl24/LkAkomE3FE6nhaHDgs3zCJoBgv4ApYFi7EkudaBMSJtpUDPHxD1exzmk79X3eK06wOZoLIvWqcGV+b4Ut0gIIbqHBGmF6Cday4xt6jXlpwyLOs1id5zkNZk8bH3dSgB0DApdnZ+hXvRfNYBdQfGmtTx86W/YvGF1wnpd17nkijs58ODjUtK+rmCt02FJbHZp04iSfogNn7PzJxS1frAZMCAfBhZ0VSuFEKLvUmYseCj1aDtnl4mKYBiqamkxi3YrVf/njzQGad229G5v37pVPxP01yYsGzt5erceMxoF09QIhnS8HhO3OxY0/LZ4bsM2ew/er1vb0BLDo5F7qpOMAyxQfW+SPEspHonLoj05y8MQp4QxhBB9k3y7CdEPbKt8QVN3qWqKsUCHYcrWLEi7se4XALKchdhtrm5orejr3nJovL18AdofziS6pTRhnd3h5Orr72e3PQ9IUeu2n7Ig/ErjZ8O2a4QjO5lFa1mxz29NHeRlQ3Zm17RRCCH6uq3lDqTUQecctgfsOkGxfnPbQVoAf7S6YZk3CeUOlv34bcJ9h8vNkNETuvWYPyzw8uobWUzdqY5f7V+JywGmZfL95q8A8DkymFawa7e2oSUqqiCicI3UsWX1vTf8h7UhVoVjMwHqwOWSRSuE6MMkSCtEP3DvM1BZreFzK45v4wJ//Ey9Tcvx14QrqYlUApDjHIDW3lnIhIjz5advY177fxAMJiz3eH3cdPu/mbJj8k9wulQQNLeKXRxxmaQfoeGxd3wSEcuC86+HcSPghIMg0wdumSNDCCHaRcViOpJJux3ausj/R6uCKIqwpoiqxpqo7iSUO1japB7tqAk7YbN1X5kBpeCTz3wEgzpffOlj/32qAPi5fCG1kViAepeiPXDZk5/AYAVBd2noHh3N6Ft9c6UU/4rLoj0s3cU4V9+ruSuEEFv16ktt3377LQcffDBZWVl4vV522WUXnn766Q7to7KykmuvvZYpU6bg8/nIzc1l+vTp3H///QSbBBCE6K0eeEnj8bc1PprXdsctTONsyI4mVWk3+n9puJ3nHNR1DRT9glKK559+kC2Xn9csQJuVncfd9z/X+wO0QNgZpPiIRYSOKEU/uo6cAZ3L+PjgS1i4DJ5/B+7/L2RldHFDhRCij1JKNQRp9T4WtEomtbWWQQuiSvEaAd4iyAd6iForAIBNs+MwuveKolKKZT9+k7BszJTuLXXg9+u4XBY+X5RxYwIMHxZLa4gvdbDHwFnd2oaWqKgCU6F7NPSOXw/u8b4PRJgfaCyQLFm0Qoi+rtdm0s6ZM4cDDzwQh8PBiSeeSEZGBi+99BKnnHIKq1ev5qqrrmpzH5WVlUybNo1Vq1axxx57cN555xEKhXj77be56KKLePnll3n//feTMkuoEN0pUp/cYLTjrRxKCNIm2li3uuF2vluCtKL9IuEQj99zDZ+8+WyzdYOHjuSWOx+jaMCQFLSs680pfodH1/6dSRlTOXeHP+Cxd+551daBywnBEJx/Yvsn/hNCiP5ua4AWJJO2K7SUSRtuEr0NhioBcBletG6uMVFWvJ6Kss0Jy8Z0cz1ar9fi3LNKCYc0srOi6FosWPzd5i8AcNs87Fq0R7e2IZ5SiuBSC/sADcOlobu1PjnC7eG4LNo9vA52S5MhRUKIvq1XnvJFo1HOPvtsNE3j008/ZaeddgLguuuuY+bMmVx33XUcd9xxjB49epv7+de//sWqVau4+OKLufvuuxuWh8Nh9thjDz766CM+//xz9tprr259PkJ0J6XgxdsU6zerhJl6W95WEb+JvUkm7aa4TNp8t0waJtpny+aN3HfN+az6eUGzdTtO3Y1rb34Qn69vpImalsnbxS8BsKh6PlmezE6fNB28D0wYCSvWwV47d2EjhRCiHxh3notwlUJZqW5J73ThXRqfzIsFaJ+7SWFrEuwONdk+GKkAwGl4uj1YuGxhYj1aTdcZNXGnbj0mgGmCZihsRixAvaZ6JeXBMgB2KtgVn7P7yzxsFfzZYsN1QWy5GllH2sg5se8FL+ssi5WhxjIakkUrhOgPemWK6EcffcTKlSs5+eSTGwK0AD6fj2uuuYZoNMqjjz7a5n5WrVoFwMEHH5yw3OFwsP/++wNQUlLShS0XIvk0DSaPgkkjYFjhtrcNN7nfvNzBmobbRe6hXdRC0Zct+n4u15x9SMsB2kNP4La7nugzAVoAFYJD846nyDWIXQt2Z0zW2E7vq7oGhgyA044EGdAhhBDtp9s0Rv3axYgTnAw+uOm4INEeNXVQ49eortMwWshGbppJ6w+XA7FM2u62/Kd5CfeHjByP29P9AVJLaRgaGLbYc59X8nXDuhmFyU3qqfkkFryMlinMGtD0vpdF69V1Xhmeww2FPo7JcHFoukxYLITo+3plJu2cOXMAOOCA5rN/b132ySeftLmfiRMnAvDOO++w336NsylFIhE++OAD3G43M2fO7IIWC5Faqr4f3Vb3rWmH29EkE2JTXSyT1m2k4XNkdVXzRB9kWRZv/e8hnnv4TpTVJI1J09Au+hPXHXMetj5yUmGuMkBTGLkaO+fuyYyRe5Hjy0Dv5JDPUDg2cZgvDXzdf74rhBB9Uyv1VEXbhg+AknJFIESLQdr48liGgpBZCyQnSNv0wu+oiVO7/ZgAlqlhd1ps7brML4nVxdXQmTkouUFae5GGLVcjWqbIOLDvTqRVaymOSHfzf3m+PlnOQQghmuqVQdrly5cDtFjOICsri9zc3IZttuXss8/mySef5K677uK7775j+vTphEIh3nnnHSoqKnj66acZOHBgu9rUWjD3p59+YtKkSe3ahxDdaVuz827VLEgbF9a1lEmxfy0AOc4BGLoUeRMtqyjbzEO3XsKi7z5vvjI9A275O+Nm7ENasG+cPSsLIi87USUG2sgIoaMiZBVlU5hW1Kn9zVsEAwrA64F0b9ufWyFE7yR9x27WzgvUomXXn63YWAobNrf8GsYHaeNDhG6jezNaw6Ega1csSVg2cvyO3XpMgKefzaG62qCwIMyZp5ZRHapkZeVSAEZnjafAU9DtbYiXeZgd314GZhU4h/bN4TYhS2GiSDcM0vvIRX0hhGhLrwzSVlVVAZCR0fIQ2fT0dNavX9/mftxuN3PmzOG8887jqaeeasi+1XWdCy+8kD32SF7xdyG6SzAEH82DyirwuCB3GwmwoSZB2vhOd0lgA1EVq1ib62zfxQvR/3z/2Xs8cufl1FZVNFvnHDOR0F0PwaChTA31nSKB5g82VEnsooVVouPJteNz+rDpHf+JLSmHi24GjxtOPRKuOreLGyuEEP2I6hvXAnuk+D6jLe6F7u4g7dqVSzCjiZMsjBi/Q7ceE2DFSifVNTYqqwwMA+Zv+hZV/xpML9wt6VmeKgy6Q8cxTu+zGaY1lkW6rpNh9N3nKIQQTfXKIG1XKSsr44gjjqCkpIQ333yT3XffnWAwyGuvvcall17KG2+8wXfffUdWVtvDur/88ssWl0u5BJFqW6rht3fGrrDvt7Ni6tjWz1gCcR1uhyKhQ7SpbnXD7VyXBGlFokBdDf/75618/PrTLa6f+atj+fraW8HtBmB6tMXNeiVjXJS6GZXo33pYM+NHxvmGkeHo3Enqu5+BpaDWD24X2Pr1r7QQfZv0HbtXQ9xQYjudplQsIbmllzB+HgODxguv3V3uYNWS+Qn33V4fRUNGdusxTROUir0KOdlRNOCHuHq0uw/cp1uP3xIrBIYXtD5Ycvm/FX5+CUU5wOdkF4+DDEM+xEKI/qNXnv5tzaDdmlHbVHV1datZtvEuueQSvvjiCxYsWMCUKVMa9n3OOedgmiYXXHAB9957LzfccEPXNV6IJIvGBcOMNkZD+eOCtK5mk4b90nA73z2kS9om+oZ5n7/PY/dcTUVpcbN1TreH3/z+erIOO54v3bFs0zRLMb4vZTe54Y1J/+GzjA+ocVZwweZLGZt7Tqd2NXNHWLMRvpgPxx/Ypa0UQoh+I1Bq8eOddSgTPIU6Y85wp7pJvZJStFrXt2m5g2l5s6kMbiHfPahb27RqSWI92hHjpqB38+yahgFXX7GByioDj9siakVZWBqbvCzblce47IndevymVFShodAdOrqjbwUwo0rxr7JaNkYtnqzw889BmZzn6rs1d4UQoqleGaTdWot2+fLlTJs2LWFdRUUFZWVl7Lbbbm3u58033yQ7O7shQBtv1qxZAHz//fdd0GIhUiczHa4506KkHAbkbHvb8dj5lHxWqijlykxIndgYl0lb6B7cPY0VvUrllhKevO96vvn4zRbXjxi3Axdc8zcKBw8HC+6osVhgA4cGfal6WtAf4MOK1/G763AZbg4afkSn9zVsIJx5DPz5AhgyoAsbKYQQ/Ui0RlHyRewqdcZYqaHfGVf+U2PlBnDZ4aZzm0dq4+cxcGsOfjv+NorrSrBU95YzWtk0SJuEerQAoYiO22ORnRVlZeVS/NE6AKYW7IrdlrwgohVWqCjoTg3N1bcCtADv14TYGI29hwzg4HRXahskhBBJ1iuDtHvvvTe33XYb7733HieeeGLCuvfee69hm7aEw2GCwSDhcBiHI3GsSGlpKQBOp7OLWi1EamR44eQDYO2mWH3abbFpGlkYFCqFp0km7W/G/pHpuQewrGIx+a7uzZIQPVs0Eub9lx7nlcfvw19b3Wy9pmkc9uvfctQZF2OLO3FJV7BPBAo0+szwU2XCnNJ38Juxk7X9hxxKvie/0/urC8bq0cqEYUII0XmW2RhA1CRG2ynfLoEV6zVy0lWLv0c2YCAGfqXIQEMphVIWutZ9l2HraqooXrcqYVky6tEqBaGwRnqahdupWLhhXsO6nQtmdPvxt4pusVjzhwCeHQzSZ9vImNWXLnnHPF5e13D7yAw3gx29MlwhhBCd1iu/2WfPns2IESN4+umnmT9/fsPympoabrrpJmw2G6effnrD8rKyMn7++WfKysoS9rP77rsTjUa56aabEpaHQqGGZfvuu2+3PQ8hkqUjE2dsHdnWtD/uMjwU/T979x0fR3UufPw3M9tXvduWi9xxx4DBdEzvndAhBHjTExKSm0ASm4QESL0kpBOSEAKEELih92o6BlNs3HBv6l1bZ877x8raXTVL27RaP9/7Ue7O7GjmSKw15zzznOe4p7Bf0SE4bPJUe1+klOLdV5/mO5cfz72/vbnfAO3YiVP53h0Pcv41344L0AIEAAeQS4++LL/JU80PAaChc9H0K5I6X1cXeN2Qn96SfkIIkdO81QaL78hj4U0eJl+YS3edzLG6+47GAEHuwzQXT2oV3EMJS1UhlrKwVP8B3VTpXeoAYEqaM2nr6mz4/Ro2XeFyWths4LF5KXNXoqFz0NjD0nr9WG0vhVEB6HzbpOO1MFqO1Wr90BdihS+6KNzXy9O7CJ0QQmSjUfloymazceedd3LiiSdyxBFHcNFFF1FQUMBDDz3Epk2buPnmm5k+fXrP8XfccQc33XQTS5cuZdmyZT37b731Vl5//XVuvvlmnnnmmZ6Fw55++mk2btzIAQccwNVXXz0CP6EQaaCGlryouv+v9xMcyzIJWZGOUzqzJER2WrPyLf5z1y9Zs/LNft83bHbOuOzLnH7JF7A7+g6Ize7Pn1ODXBhThF+zo8KwctIb1AZ2AnBw1eFMLZ6+l+/s38pPYPNOWDATPC5w5uBCIEIIkSk2t0bJHBu+egvTl0tF0DPnhTsUW3YqtvctN99DdZc8UMrEQqGw0NM4vPy016JhxeVVFJdVpu164TD87s+V6LriiMPaOfOUZgBOmnw2+1cegdPQKHeXp+36sSy/ouWJaACz8ITcq9P6t5gs2oM9dg7NkwcsQoh9z6gM0kIkw3X58uUsXbqUBx54gGAwyOzZs/nRj37EJZdcMqRzLFiwgBUrVnDLLbfw/PPPc8cdd2Cz2Zg6dSo33XQT119/PS6XZAyK0S0UhqZWaOscWpDWIpI90fvYsGVhKQubNmr/bIhhUkrxyftv8PDfbh8wOAswbc4BXPWtW6mu6T9AuUOHfDOysEguDCms7Tqhx5xgaUxyL6L0iCoaPbv5zLTL0RJMIbrvcXjlXXA54LE/QHVVihsthBD7KCkdkxz7IDfuPbOv/rXuNpbveAiX4eHL+/0vVbb0rF2wZd3HcduTZ6a31MGHH3no6IikEjc02NhTBS8YDuLU7YzJq0r4vj9cbS+Esdojr52TdbwH51Ydj90hkyfb/D3bXyuTLFohxL5pVEdbFi1axJNPPrnX45YtWxaXQRtr2rRp3HXXXSlumRDZ48MNcO53I5mvFx6n+OI5A2eU/Em182fVgUPTOAInXyIfgA2tH/LKzkdx6YVMyVtAkbswI20XI8MMh3lv+TM89eBdrPvwnQGPK60cx2c+/x0OWXL6gIMUBdzi1ujSYKoJX/crRvunJ/RoJEALsL7wAxrdu5lcMI2Dx+x9wcr+tHXAa+9HXpeXwszJqWqpEELsu9SeCKJIG0Xk9+wLtxNWQTrCQZxG+hJcNq9fFbc9afrstF0LoKoqxNw5naxe7eH4Y9p6EhgCVhC74cBly0ymp1KK1meiWbQlFzjQjdya1XZvcxfh7tfj7QbnF7lHtD1CCDFSRnWQVgixd2bMIru6NvhopV0p2lCgKXwxhWzXtrzP09vvBeDSKd9jAlPT0lYxslqbG3jp0ft44b//pKl+14DHudxeTr/sS5x0/udwOAcfjO3QoVWPDGvWGIrS/goejyLmRgNrc+TWGbT7+ev+PwYNzph8AXYjsTzhgjz40w/hyVdgRg3Y5M4shBCpI6m0CdkTgB3o19eoTGqVSRMmxd4pTCmYR3uwBY+RnqLqne2tNOzeHrdv4rQ5abnWHpUVIc44rYXzzmxiwvhIkHRHx1bseChyF+LK0BoNvlUWoZ2RfrlRolFwdG5l0fosxX0tXT3bny/1YtNzKwgthBBDJUNBIXJcSQGcdpiivRMmjRn82K6YlBN3TCRtd9fWntflrrEpb6MYOcGAn/dfe47XnnmYD99+GTMcGvBYh8vNcWddxikXXkthydBqsK2KGUdMtqBwFI+VVQhCj0SzZp6f8m/anS14bXmcWnNWUucuK4YvXAST5J+XEEKkhmTRJuX2f0Fzq4bXpbjw+L7v/1N18ls6QIfjai7k6xXnUNtZj81IT3bpll5ZtAATp6U3kzYY1HE4LEqLTAwdGn11fOvlayhwFHHm1Au5dsFX0nr9PZofDva8LjrRju7IrQDmf1t9tJiRf7BeXeMLZbJ6qhBi3yVBWiFy3NRquO1Lim27IGQOfmwX0bRbt9J6Mh4vmnYdC0uPZUPLGipc1WlsrcgEX2c7H7/zKu+99hzvvvo0/q6OQY93uj0cf/YVnPSZqyksLhvWtVbZolHZ+eFBDhwFws86UbsiUeeQM8ATNXcDcPyEUylyFSV+XjNSO9rrBo/M7hNCiKTVvhbkvZs60XSNyiPs7Het/HEdrj88pOEPasycCBce3zfiHYx5bUdDddeXSNfisr2DtPlFpWldNEwpCAQ18vMs3K5I/3h144cAtAVbsOmZyWbt+sjE91Hk+poTis/MveH7a52BntcXF7kptuVWprAQQgxH7v2VF0L0MdSybJ0xR7li5rd5bHmMdU/Fpgpx2mSgM9pYpsnWDav5ZOWbfPDmi6z54O1BM2b3KK0Yy5KzLuWY0y4iv6hk2Nc1gU9i+tkLzdGb1qTaNMKvRcsZPHDw7XQ4W9HQOH/a0BarHEiXDzwu8HpkVq4QQqSCGYBwJ4DCCozee89ICnc/2B+o9Gkgps/oQENhoZRK20JavYO0k6bNTtu1tu+w09pmMKYyiMtpYe8eMZe6yzmg8lA2NH/CwsqD03Lt3lqfjfbXis+wY6/IvQDm7WMLebTNz2Ntfr5Rnj/SzRFCiBElQVoh9iF768rGljvwxBxtKYuwFUmDTFeGhEgNpRQtjXVs3bCazes+Zt1H77DuoxV7zZaNtd/+iznh3CvZ/9DjMJIokLpRB3/3AMquFPNNRm092tCLDghHGt81rYnnSh4EYEH5IqYVz0zonGET/ufnMHsqnH4M5HtS1lwhhNinWTEzNzRjlN54Rti/f6zYXqcIBvp/PzZIa1dgWlbagqbQd9GwdJY6eGV5Ae+t9GKzWSz77g6KCyOZrLNK51PmGkexq5DqgnFpu/4ell/R9X53tFyDknMTq32f7ToVLPY6ubDYyzhH7gWhhRBiOCRIK8Q+QKnuVY73YqCatKZpYioTmyZ/MrKFZZo01e+idscWandsYfe2jWz7dA1bNqymvaVx2OerGj+ZQ48/i0OPO5PK6kkpaeOqmI/LDBNco3ScrFo0zLeiA6Mn597Nnsog50y5MOFB6bsfw+vvR7521sNfbk5Fa4UQQqiYmRuaxHwSMncqFHqhqbX/94MxfcZnNv+ZldseZUr+/lw67dspb0sw4GfX1k/j9qUrSGtZsH5DZEEwl1NRVRXNZA0rCwuFw+7CYXOk5fqxulaaqO4guXuWnpNZtAAdlqLY0CmSBypCCCFBWiFy3fIP4H9+q2FZcMkJijOOGPjYuJq03UHaTW2f8NKO/8OlFzApby5F7sJ0N3mf5/d10dpYR3NDLS2NdTQ3Rv7/nn3NDbXU79pGOBTc+8kGMWbCFBYsXsIhS06nZua8lGfArIrpbC8YxaUOQi86wIz8LOasTp5U/wKgwl3FMeP7WU1liNZsjL4+74SkmiiEECKGismk1WW0k5A9d+2BegaxJbLCoVaag3X4za60tGXbp2uwzPiFFSZOT18m7fnnNrL6Ezd5eRaOmOTVUDiAy7DjNtIfoAVofyX6Qc4/PDc/yH5LoVDk6RregWprCCHEPiQ3/9oLIXp0+GBHfaSL7dtLXbb+MmnXta7kqe33AHBhzbeZVDA9TS3NbUopOtpaaKrbSWtTPS1N9bQ21kdfN9VHArFN9fg629PSBqfbw/Q5BzL/kGNYsHhJyjJm+xMANsQkfBw4ShcNs5o1zHeiI7TXFj6C2REZKJ5Wcy5OW+KrWF9xFizYDz5eB0sOSbalQggh9ogvdzBy7RjN9jYDKzZIq3UHZ92GNy1t6V2P1uX2UjluUlqupeswZXKACeODlJVEP0gbmtdg052Uuytx2lxpuXasUL1F54ruwLQNCpbkVqmD9YEQv6jr4JJiD/u77RRJgFYIIQAJ0gqR81wOmFCpCIQiixMNpr+atLVd23r2lbnGpqWNuaS9tZntm9ayfeNadm/bRMPu7dTv2kb97u3DqgubCqUVY5k4fQ4z5h3EzPkHM2HaLGy2zHTy1xkQ7s7M9SjFDItRWY82/EI0i9aYF2LynEnsv+Fg1jR/yDlTL0rq3P4AjK2Ag+eBMzNJOUIIsU9Q4dhyB6Pw5jPCgiF4/l1obgO3Hcr7WTu0M2b2lRb2AeBKV5B2w+q47QlT90PX0xfUUwo0XaFr0c/Rb1feRm3XTiYWTOGukx5M27WjjYC8ww063zDJO8zAXp47QcyApfjWzlZW+cM83xHg86VeflddNNLNEkKIrCBBWiFy3NEL4bFfKLbt2vuxnf1k0tb6tvbsq3BVp7x9o5mvq4ONn6xk3UcrWP/xCrZuWE1rU33G25FXWEzF2ImMnTCFCdNmMXHqLCZMnUVeQVHG27LHppjMpTlhsI3CMbLq1DDfiwa17acGmOCt4ZpZ36DYU0iltzKp83f5weuGPFkwTAghUsqKmRkvmbTD19YJX/hpJCh41ALFAfv1TavtN5PWlp4g7faNa+K2J0ydlZbr7KEsDQ3FnipQTf4Gart2AlDiKstIPVp7hU75Z52UXazQ3aOwEzWIX9W3s8ofzVI+Nt+Z1kXnhBBiNJEgrRD7gKEsGgZwIR7qMWmyLAq1SOd8d3cmrdvIx2svSFcTRwXLNPn0k5WsfOMFPnr7ZTavX4WyrL1/YxIcThdFZZUUlVZQXBr5/0WlFZRVVVNZPYmKsRPw5mdfneAzgjA/aLHOBlNGazlap8J+jp/wcgdagcKYZNHR2UWew0tVEgHaLj/YbRAIQElhJFArhBAidZQEaZMSjvn9DZSwGhekDe8J0uanvC1KKbZvWhe3b/zkmSm/zh6BoEaXT8Nhj/5865qjmbxzyhak7dqxlFKosMIo0bCX5k4W7SsdAf7SFK1dfFWJh/OK5Gm1EELsIUFaIUSP/9EL2WGF2aVMSnUDpRT1vh0AFDkqMPR9b6SjlGL9x+/y+rP/x9svPkF7a1NKzptXWExhSTlFJeUUxnwVlZZT1B2MLS6rxO3NH7XZBfkKloSgUmNUljrQbGDsF8aYG0ZzKkJmkLBl4rV78doTzxb64/3w6go49Si4+nww9r1/VkIIkVYq5vmpljvxrYzJ88D3r7JoaIbyAZ4Dx5c7SF9N2qa6XXR1tMXtq56cvvURXn8zj8efLAbga1/YzQH7d7GuKVoTd175wrRdO5YKgW7T0B06mj4KO1H9aAybfHtna8/2TKeNX48rGrkGCSFEFpIgrRD7ANX9NZQunqlUT25EW6iJgBWpM1bsqEhT67JTe2szLz16Hy8+ei/1u7bt/Rt6ySsoYtyk6ZSPnUD5mPGUV1VTPmY8ZVXjKCwpx+5IfMGp0cBUkc+cQxudpQ6gOxMrrKF5FA/V3YO52+SIccdT4MxLOHDe0QWPvQxdPrj/Cfj6FaltsxBCCFBWTJanBGmHLc8Nl5wIW3dF7lf9uUUrZpsK8WLDa6z11wHgSUMm7bZepQ4AqmtmpPw6ewSD0Q+M0xVJKd6TSWvTbMwum5+2a8dSQdDtoOdQzfq/NnXRaEaC+y4N7plYjFcWDBNCiDgSpBUix73+Idz9pIY/AGceoThgkBliqjtAu6e7tCeLFqDYUZXWdmaL3ds28cT9f+K1Zx4iGPAP6XuKSiuYNvdAps7anwlTZ1FdM53CkvJRmwGbCiHA3v01agUBp8JndPDIpn/hN328uPNJHjn9pYRPaVpw9EHw5Ktw9vFQVpyy1gohhNgjttyBxIDS4ljNxQ5lY1PTh6wPtwPgseWl/DrbN66N2y6tHIcnL33lt6oqg8ye1UU4rFFYYBIw/Wxp+xSAmsJp5DlS/zPGsroUOBQqDHg0tBx6pv9KR6Dn9bcq8jnAk0M/nBBCpIgEaYXIcZt3w1NvRoKFh84dvDjonolre0KLdTFB2hJnbmfSNtXt4uG/384rTzyAZZqDHuvNL2TewUcxb9HRzJi/iLKq6n06INvbWgPKw+ABRmP3Wyki/xhCGlqBYl3XKkJWEIAl1SfhtCX+UxXmwTUXwBnHwv7pK6knhBD7tPhyB3J/ToRSka/BujemUnR1B2ghsn5Bqm3fFB+kra5JX6kDgPlzfUypCeBwWpSXhNnYsg6zu8jxfqVz097fa7gnSNf7JnmLDUrOdeTM57cxbPJJILpY2GekDq0QQvRLgrRC5DgzZqAy2IyiHSrMI8pHEIVDg9PwxGXSlrrHprGVIyfg9/Hfu3/DUw/cSSgYGPA4T14BBx9zGouPP5Ppcw7EsMmfz/40aHCzR8euFNNNuNU3ulYNs2p1gv92YT/Zjz7BQnMp9i9axLJFt/N+/RucN+3ipM7f2RWpQXvgbKjeN5LThRAi46QmbXJCYahvhraOgY+xumdf+WOCtN40ZNJu65VJm85Fw/ZQSkPXIgHqtc3RerRzyvZP63WtoKLj9TBWF7Q8Fqb4rNypdfBaZ7Dn9Ti7ziyX9KOFEKI/8tdRiBx3wbFwxDyL7bWQP8hD602E+V/aQYOxGJyGJy6TtjQHyx189PYr/O2XN1K3c+uAx0yfeyAnnPtZFh5+fM7XkU2FVd2LYIU0jRZN4RpFCSDKhOADLtR2g+CdHhwX+9EPD+EPBSh2lHHZftdSXZD4wwrTgrbOSImDkqLUtVsIIUS8gikGVUfbMf0Kd5VEaYdr1UY4638iv7cLlii+fF7fB6574uC+UHRRL4+R2iBtOBxi55YNcfuqJ6evHu0ee35aTYP13fVoAeZVpnfRsHCdwijQsLoUrhk6zprc+OxaSvH3pq6e7aO8TpmBJoQQA5AgrRA5zmmPTLFu7wD7IP/iu4h2wN3d/7/eHw3SlrlyJ0jr6+rg7l/9gOVP/2fAYw4+5jROvfjz1MyYm8GWjX6rYlYJmzd41Yiso+p1VFN3+x2gzwyjadAZ6iTP4aHAmdg0zlAYrrsFjl4ESw6J/Hv0uFLYcCGEEHHGHuug/BA7/gYLPTfiXBkVjrl/G3rfAO1aFeIXKhKcXT/mKGh6DbvuxDBSm/lZu30z4VAwbl8mgrSoSOkvhdWzaFiFZwxjPGPSellHtU71rS4C6y10r54zgUwFnFbgZH0gjE8pLi+RUgdCCDEQCdIKIYD4IK2zuyrtnkzaPFsRTltudKi2bFjNHUu/xO5tG/t9f/4hx3D+Nd9i4rTZGW7Z6GcBq43o9kJzdJU60KssnJ/vIvSEE9sBYXyFrYT9YQJmkDJPCXkOb0LnfeVdWLEq8rWrHn56fYobLoQQoq+edMgRbcWoVFwAZxyuaO2Aif3EJXdj8jIB0MBRNJt8wGV4Ux5U7L1omG4YjJ0wJaXX6O3v/yxjx047eV6La772Bp2hSM2HmSVz0HVjL9+dHKUUKgjuOQb20tx5uhBScFKBm8UeBx/4w5xY4N77NwkhxD5KgrRC7AOU6h6rDNJ37owJ0rrQsJRFg38nAEWOCvQcKOr2wiP3cs+vl/Vbe7Zi3ESu/MaPmXvQEZlvWI5Yb0Br9wIXhlIsDDOqBscqBJoXnFf5IU/x+KcP8d9N/+Kg8sP54vzrEv438MGa6OszjwUpZyyEECKbTRkHt3xRsW0XhPqZFRPbZ9TCnQC4dE/K+4rbNq6J266qrkl76ammJhtNTXb8PpNNrdEg8X6l6Z9ZpQKg2zR0l45mG0UdqEG0mxZtlkWRrjPB4+AECdAKIcSgZKgoRI57fx28uhLaO+GoBTBhgKoFXURX2XCj0RJo6FnRvshRkf6GppFlWdz/ux/z5AN39nlPNwxOvejznHXFV3E4ZQ56Mt6KGVDMNaFgFI0vlAL8GrgVmlthaiGe2/Y4YSvEivrXKXPfnPC5v345LF4A6zZH/r8QQogMUYpR9bQwi6jur/5+e50xfUYVjmSaOo3EZpsMZsemdXHbmVg0LD/fpKAgjNdrxQVp55QtSPu1rQAYeaDnQBxTKYWmaXRYijLDYKzdoMjQcqaEgxBCpIsEaYXIccs/gF/eF8lsmDHBGjhIq2Jr0mpx9WhLnJVpbWM6hYIB/viTb/LWC4/2ea+0YixfWnYH0+YcMAItyy0W8E7MHeXI0OgqdUAIMBS6CzQHvLVzOa3BZgCOGnccZZ7EH1QEwzB5PBx1EDjsKWqvEEIIkUZKdce4+xFbImtPkNZtS+2iYUCfRcPGTpqW8mv0dvWV9TS1GJQWhbn9k0iQ1qbbmV6yX9quqcIKZYGmg+7U0B2jP5D5YKuPfzX7ONhj58JiD7Pd0gESQoihkCCtEDnOjCY7oA/S5+vqVe5gTz1agGLn6Fw0zNfVwS+/8znWrHyzz3v7H3oc197wC/IKijLfsBy0zoCWmFIHR46SUgdWvQb5Ci2kgUeBM/Lv4Omt/+055oLplyZ1DZ8/slCYNwcyY4QQYjTY9UqQpg/CmAFF1eF2CqbIkCdR/SU+xpY7mOSexP5jLiTPVpbS64bDIWp3bInbN27i1JReoz+qe9GwMEG2tEXWL6gpmIrblp6buBVUbPmSD+cUnYKjDAqOz41g5rPtAT7wh/jAH0IBx+TLbDUhhBgK6bEIkePOOhImj7Goa4LxgyTExgZpPWi4DDdT8udS599BmSu9q9mmg6+rg59/6wrWffRun/fOuOzLnHf19TLlKoViSx3MM6FwFPxqlQXBe9yoDg3b0UHsR4bQ7LClbSNrmj8GYEbRbOaXJ5dp7fNDRQl4c2PtPSGEyHp1r4fY+mikZFPBZIOC9K41lXOefwe+/ycNpeDKUxQnL45/vzMmxbbGM4UTq6/EF/SltA212zdjmuG4fWMzFKRFgx2dn2KqyPWnFc9KW5+x6z0Ts1XR9Z6J1a4oOs2RlutkUpdl8XpndP2HswrlKbUQQgyVBGmFyHGTxkC+G7bXgnuQtRZ6Z9IeVHEsU/MPoK6jDqctvYs0pJrf18XPv31lnwCtputced3NLDnzkhFqWW4araUOzHftqN2RlZrDLzmwL4kM6J/e+kjPMWdOuSDhgdlLb8N9j8OieXDhyWCXO64QQmRE3DR9Y8SaMWp1+GBnQ+Te5w/2vad3xq1jAEpZ/WbcJqN3qQNN16kaX5Pai/RDqcjMM7/ZTrm7inrfbmaWzk7b9dpfiwaiC5bYciKBYHlHkED3x6ZQ1zg+f3SNI4QQYiTJkFGIfcBANcVidfZaOAzAUmFMZWFL8Wq96WSGw/x22ZdY9+E7cfvtDidfvul3LDzsuBFqWe5q0SBPQSujp9SBCkPo2Wi2iuPkALoXukIdvLrzOQAKHIWcMunMhK/x4NPw4drI14mHJd1kIYQQQ1R9koP8Gp1gmyJvgkRph8vthAlVikAQvP3MUo8td+BWCoVKeXCxd5C2YswE7I70Bvv8AY37/12KrsGsmUu46cgpBM0Ak4onpOV6ylL4Vpk92wVLcmNo/nxHNIv2uHwXdn30jCOEEGKk5cadQAixV0r1X1dsj9hM2j1B2rClMJWJpo+OAY5Sir/98kZWvvFC3H67w8l1P7mTuYuOHKGW5bYSBT/qVGzTFB0GFGR5gBbAXGGHtsigQaswMY4KAfDSjmcJmH4ATpx4Bl5HYqtVB4Jg6/5nM3MyLF6QdJOFEEIMUdn+dgqmGPgbLYwcWIQp0044GBbNVmzf3f8z19ggrT9QT1OgGY9RmNI27Nr6adz2mInpr1nh9+t8vCpSm8jtMjnwsDAl7lIKHcVpuV5wu8KKrLuGY7yGvXx09LcHYyrFix3+nu0zC6UWrRBCDIcEaYXIcVt3w7qt0NQCs2rAOUCpq79qpWxXYTaZYUo1HUtZhK3IFCx9lGTSPn7fH3npsfvj9hk2O1//8Z8kQJtmAaBSRerRZn0WrQXhl6P/EOzHB9HtkSD/M92lDjR0zp+W+IJhTgfc/HXYtA3cbrDJ3VYIIcQo1P/CYdHZV89u/iOv7nyKiyffwCLXsSm7bu9M2kzUow0Goz+sw2lhorAbDmxGem7i/k+iWbTu2aM/QAvwni9EsxkJ4ts1OKNAgrRCCDEcMmwUIsfd9ZjG3x6PdDrv/K5FQV7/xxmahlvpFKETCjZxxWsnUegoY27RkZwx6XMZbHFiPnz7ZR7446199v+/G37BvIOPznyD9jEhIB8YDVXHzI9sqMbuLNpiC2NxJIv2o8b32Nm5DYCDKhdTUzg5qet0dMH0GpgwNrn2CiGESFwOlPgcEUp1z8Lq5zl9NTZqMKkLtaMHWwHw2AboYCbAsix29sqkHZeBIG1ZaZilN26ntQ1KSgI4dBsOI30LeXV9EA3SeublRpD2+fZoFu1hHieFttz4uYQQIlMkSCtEjrOiyQ4Ye02IjTz5bvLvImj5qfdvJ2ildrXedKjbuZXfLvsyqlfx3Qu/cAOLj0u8pqgYGkuBSSRjwp7lg2GlIouE7WFbEkC3R17HLhh27tSLk7qOPxAJDOR5wCNJJEIIIUYbBQywpsGP9SLqrDAvtqxllXMSTaVeip0VKbt0U/0uAr6uuH2ZyKTVdXA6FB8F7+fN1f9hQsEkvrD/N6nwlqX8Wr5PTDrf7Q7SauBdMPqDmUqpuHq0Z0ipAyGEGDYJ0gqR4445QOGwQ0s7FOylvKbFnv64xeT82dT7d1HsKE9/I5MQDgX57bIv09XRFrf/yFPO55QLrx2hVu07VhkQUjDWhPTlmqSO9ZENtbN7IOS1sB0RyaJt8NXybu0bAIzxVHPEuGMSOr9S8OE6GFMWCdAOlLkuhBAiA4awcKro65m34MEXNIIhuPA4xayavscoYHrJwUz37kdjZz0uW+oCcr1LHUBmgrQQ+bl2+tbTGmzko4ZG8hzpuZE33hfseV14kg171egP0n4aNNkcjGYHn1PkHsHWCCHE6CRBWiFy3DEHwOwaxfbawYO0plIoIoHaaYXzuXHBX9jVUYee5SuyPnjnL9i45oO4fZP3W8AV192c8pWGRV//59BYY9PQleIrfsVp5t6/Z6SoMISejhZksB8XRO8ePzy37XFUd4290yefj92wJ3SNFavgKzfD+DHwjSthVvrXORFCCNHL6t920bgyjDJh5rUuCqbIkGc41m+DZ96O9KFOXtx/pHtPoq2uLCwFegr7XDs3xwdpi0or8OQVpOz8g1EKPLYCCh2lhFWQau+ElF8jVGvhXxPpc+huqLh6NBSL2rvYUgfzXDYmOuTfnRBCDJf85RRiH6Doris2QP85qBRz1S4cgFPXuIsSUCaWMrFr2ftkf9WK5Tx+3x/i9uUVFvO1H/0Bh1OmWKVbGPi0++NhaRqTrOxOWQq/6kA1dD90KLSwLYlksYTMIM9vewIAp+7k7CnnJ3yNp5dH/v+2XeB2RaZOCiGEyKz2zRYtqyNPDc1Adt+bslE45oHrQCVFre4vDYXCSumaoSOxaBjA1m0O1qx1Mdb1XY6as52Zk+zYbYk9tB1M+/Jwz+u8xTZsxbnRWbio2EOhofNKR4Cj83Ij8CyEEJkmQVohBL7u+YBBIKgpXGh0KRNTKYwsDdL6ujr4863f7rP/mu/8nJKKMSPQon3PZh1C3ZF/h1LMiIzWspLVrBF+PlqQwXGWH707jv9W7au0BlsAOKr6BMo8iZf4OGwh7G6ALTvh+EOTabEQQohEqZiHhpqepTemLPb5c+CMIyy274Liwvj3wkrxPkE6sNjp301VoIuAGQAtP2XX37VtY9z2mAmZmZayYaOTZ54vAuBzY5spnOFJy3U6345GwQuOzZ3heIGhc0Sek3MK3Uxx5s7PJYQQmSR/PYXIcWEz8qWsgY/p6lW0zYlGu2VhKhOtv2V9s8C//nArjbU74vYdd/blLDzsuBFq0b5nbUz8fpqZ3YuGhR5zQijSQH1aGOPgaBbL67te7nl9/tRLkrrO4gUwswaqysArpdiEEGJEqNjSO1l8b8pWTjsUdNdV7z1jvQWLS1VjZMPrpOSN0ym0FbJs4X0pu37t9k1x22PGT07ZuQfj90X7vPkesOupz6K1gorA1kinXHOC98DsTIZIRFBFimB4dA2nPBwRQoiESJBWiBx33f9qPLo80lF6+BaL0sK+x3QRjeA6FXzj9VOxLMUY9zSunHFDppo6ZGtWvsXz//ePuH1V4ydz0RdvHKEW7ZvWG9EO+KxsrkUbANXSPfAyFI7P+NFjxkRfnfddnt/2NPX+Hcyr2D+pa/n84HFDUT//zoQQQmRIzIPpLJ0QNGp1xj7Yt0JoKoTL8KKn6KG+39dFc0Nt3L7K6kkpOffeHHJwB5VjOvEFTMZUhnHaUj9UDu1SPZ9PZ42Obs/OZIhE+CyFW9PwGhKgFUKIREmQVogcF1smdKD6mLEdbhcau7u2olB4bUXpbVwCwuEQf/1FfOBY0zSu+c5PpQ5tBilgXczAd66ZvTX/NCc4ru7CfMeOpjSM8fFp5QEzyBFjl1BdMC6pQaZS0OWHihLIS88MSSGEEEMQO3soSycEZT2l+l/PILbPqIV9ALiMQVamHabaHZv77KuqrknZ+QdTUmzyx83X4DPa2LF1HvtP+mXKr+GcqDPpz26Cn1ro3tz4cAYsRZel8CtFsaHjlSxaIYRImARphchxs2oUja3Q5Rt48YfYcgd2ZaK6twsdidfmTJdn//O3PgtKHH/OlUyfe9AItWjftEuH9u5OuKYUc02ydkqpskALa9gOD6EXxgeTlVJ0hXxUeMspcOYlfI2X3gbLgtnTwOsBu9xdhRBixMSWO5Ag7fC9uhJWfALtXXD64eCMlnSnMyZNWTO7gBQHaXuVOtANg7Ix1Sk7/2CCVoC6wGYUFk3+OuxG6ssdAOh2Dfd+BrbS3PhwvtIZ4MvbW5jjsnFBkZsbKgtGuklCCDFqyTBSiBz3pXPhnCMVO2rBPcBCq7FBWpsVItT9uijLgrQtDbU89Nf/jdtXXF7F+dd8a2QatA9bExPwn2RBXpYGaAHwAU6F7lZx0147gm3o2HAYDvIcXuyGY8BTDCYchtvvjiwYNmU8PPqH1DRbCCFEYpSKyfaUcgfD9sTrGvc9G7mxH73QoiQm5haXSWtGMmndKQzS7t6+OW67vGo8Nlt6gqV9rt21CdUdhJ5cOCNt11Fh0FxAjnw2n28PYAEf+sNM9YXQeqdfCyGEGDIJ0gqxLxmgzxRbk1Y3Az2vsy1I+68//RR/V0fcvou/+D1cntQNDsTQrI2pNzY7m+vRhgGlobsUxDyksJTFDW98BZfh5qSJZ7NfeeILhr35QSRACzBtIhRLAokQQoyouIXDZOr1sIVjfn/2XoHE+HIHkUxat5Gfsmv3zqTNVD1agJXruqBxITiamVqUxiCtqcDQ0HJgJG4qxYsd0bHDmYWyaqoQQiQjB24NQohkdfWTFQFQ4qocieb0a+unn/Da0/+J27ff/odw8JLTRqhF+y5FfCZtNtajVX6wdhnolWZkNTynipvy+mHDCnZ37QDg/fo3uWrONQlf67CFcMs34OFn4eoL+tbvE0IIkVlSkzY5V5+hOGyeoq4RCno9B++v3IHblr5M2kzVowV484mjsXWehcr7lOln1aXlGioc6Y/oDg0tBx4gvO8L0WRGPhN24IwCWR9CCCGSIUFaIfYBqvtrILFBWhWOZqoWO7InSPvAH2+Ln76o61z21ZtkStUI6AJiCwPMz8JM2tDTTszXHRgLQtjP9Mc3GHAaLqYVzmJ962rOmXpRUp8j04LpE+F/b4AJY5JsuBBCiKRJkDY5MyZCUT5s3x1fjxb6XzgsleUOavsEaSel7Nx7Ewp2/7D2dqYWpz6Ttv21MLobXFN1NHtu9F+fb49m0R7qdVI00AIYQgghhkSCtELkuBv/oLFiTSSQ9Kf/6T9UG9vhNkNtPa9Ls6TcwSfvv8EHb74Yt++Ik85j/JSZI9SifZsXuLVDsUVTtBtQOtIN6sWq1THfiNSvM1fasR0eRBsbH0meUTSLL825ARM/i8cdmtT12jvB64WCPLDJXVUIIUZebJA2N2JhGae6n/D3/v3F16TtXjjMlvjCm7F8ne20NtXH7ascn5lMWqUU2n53EA44Kci38Nq/mNrzW4qGvwYw20BzwpR/eDG8o//D+XyHv+f16ZJFK4QQSZPhpBA5buMOWLNFw9AHzqU9AAdX4aVemXzQtIIwkfpiTvvI13pVSvHAn34at8/ucHLOZ68boRYJgBBQpmCWyYC1jkeMQ2EsCGOutGHsH8aY0zfVtyvsw2V3UV1Qk/DqzfVNkUwjnx/GlENh6kryCSGESIKyYmfejGBDclBnTJpyT03aFAVpe2fRQubKHbQGGwjW/BmAaWXHpHymVmCzhdmdB2Er07CVZlvnafg+DYTZFIz2sc4pknq0QgiRLAnSCpHjvG7I9yh0beBY2iGak9nKznYV5svbHwGg0F6GngUjm1UrXmPDqvfi9p1w7mcprRw7Qi0SAGEitceceztwBOjFCvtpAYxjA+hFqt8sqo5gJyWuYvIdiUVWA0G49gdQUgifvxBmTga73FGFECIrSLmD5KzbCpt2QmMzLJoNxMxg7+xnHQOvLTVPKXvXozVsdkorMtPf29m1sef1xPxpKT+/UaBRdLYN34cW7jlGTpTris2ineuyUeOUjpAQQiRL/pIKkePuvEGxvRZ21g9+nIWiK9yOL9wOQIEjOyax/9/fbo/bdnnyOO2SL4xQa8QeQaCQPqVes4IKARrYqhRafnwG+cr6d2j0NTCzaD4euwePPbGsj38/DbsbIl+PvADnnZiChgshhEiJvAmRqKIVImdqf2bSrXdrvLAi8nt75n+tuPeu0LwsVg7+vfNhPt4dKUXlMVKTSbt7+6a47YqxEzAyVEcoNkg7qTD19WjtZTrFZzooPRuMktz4TD7TFq1He6qUOhBCiJSQIK0Q+4p+6orFsoBG/+6e7SJ7RfrbtBefrHyTtR++HbfvhHOvIK+gaGQaJPhUhxYNxoShXAMjG8cZAQ2cKvLVy7/X/531rWvItxfwt+MfSvgSsybD5PGwbRd851rQJVNLCCGyxkG35BFosvA3WthzoO5npoVj4rJ6r1/fFM1OidJ5sfkjbB2fApESWanQd9GwzJQ6ANjethWCBWDvYEpB6oO0ACoI5IPuHP2fyfWBEB/4Qz3b5xV5RrA1QgiROyRIK4QAQAGNgZggrbNs5BrT7b9//3XcttPt4aTzrx6h1giApx0ab9g1bEpxaUBxSXikWxRvTxat7gStV5rvxtZ1rG9dA0B13iTG5VcnfJ0Zk+EX/wOdPpg9NYkGCyGESBs1cDl+MYhzj1ZMr1a0tGvoRt/3FdAVau/Z9trTk0lbVT0pJecdii2bSrC9ugKAj/ICzE28i9AvK6jQDIXu1NGy8gn38Kz2h3FqEFAw32XnAE82zq0SQojRR4K0QuwLVKRDPVAm7T2qkx2EWWu3Y3rGYXTtoMg5spm0W9avYtWK1+L2HXfW5eQXlYxQi4QFfNw9WAtrGtVW9ox+zS061k4DY3YYzaPA1bdtT235b8/rM6dcgNHfyHMIlIK2digthnkzZOVwIYQQueXMI2HRfrC9tv/7vAI6w5FVsDR0XHpqsih7Z9JWjs9MJm3YCtLa1cmeSTFup0Gk15M6KhjJoM2FLFqAMwvdzHfZea7dz2x3YguwCiGE6EuCtELkuDv+DZ9uj3QIr7uw/872v1UnawhD0VTyvRMxunZQ7BjZIO2TD9wZt213ODn5M5JFO5I269DePe/RUIoDTAZejS6DlAWhR1yo7QbmaybOy/1oZWbcMe3BVl7bFamdV+Qs4aSJpyZ8vU4fOByQ740szCeEECL79GTRZsF9ajQa7NengK7uNQxchgctwYeesTrbW2lvbYrbl6lM2t2+rViuWhjzFMXGJCrLpqTs3F2rTGxFYHg1tDwNLUdKt1pKYWjw2VIvk2XBMCGESBmpoidEjnt0ucbDr2i89P7Ax3TFrtQbjqzUW+KoSnfTBtRUv5s3n3skbt9hJ5xNYUn5CLVIAHwY0wefbkJelgx8rTUGantkgKg6dLQqs88xL25/mpAVBOCkCWfgdQx/aubqT+ErN8OHa6EgD4oLk2u3EEIIkc36e7T/XauZr9HM+mlXE86fjtPwomvJDyl7Z9ECVGaoJu2urk1Q9jbWoq9w7DmvMn9WamYKKaWo/2OArd/wU39XEGVqaDky/abTUrg0jXxDx54jP5MQQmQDeewlRI4zu2dr9V74IVZskBbTh4ZO8QjWpH32ob9jmvHFTk+64HMj1Bqxx0cxNdQOMLOn1EH4lWgdNPtxAfSC+PctZfHs1kcB0DWdc6ddNOxrKAW33x0J0K5YBX+7BaZPSqbVQggh0mXnC0ECLRbhTkX1iVIrc7iCIQiFI/e+3t3H9wiyGRNKF3J++MuUtW5PSeCxdz1au8NJSfmYpM87pGv7Nve8Hu+dlrIyRoFNFqHdkf6Sf4OFrTg1580GnZai0NAoHGyAIYQQYtgkSCtEjrt7qWLTDkVD88DHxAZpjy47BeWcgc0YmfpSwYCflx69N27fvIOPZtyk6SPSHhHRBWyImc14cJYsGGZt17E2dd/KnArb0cE+x6ysf4da3y4AFlUezsSC4WfmNLdFyhwAzKiBow5KuMlCCCHS7MOfdhFqj0QYx5/kHOnmjDrnfEfj440a+R7Foz+NfygbiHk91bMfFaRm5tXuXpm0FeMmouuZmfS527el5/X4vNQFaTvfjM7syT/Mhu4Y/ZNY60Imq/0hSmw6VTY7HgnSCiFESkmQVogcN7YMQkGwD9AvtJSKC9IeVX4Kel5TSqauJeLtFx+no60lbt9JF0gt2pG2ygZW96il0FJMs8iKOn/hV6MZUrZDQuj9VDF4emt0wbBzplyUUMZPSSH88jvw4ptw4FxwyZhfCCGylupe2HKEujKjXuwsrN63TH9Mn9FApWz6fm2vTNqqDJU6ADhv0leZW3gUbf4OihwlKenfKKXoeCv6RDv/yNwYdr/cGeCGXZFF447Lc/LsVClFJoQQqZQbdwshRMJ8vSqOOZWJOYKjmuf/e0/c9pgJU5hz4OEj1BqxR2ypg/kmGFkQoLWaNcw9hXJ1he3YQJ9jdnfuZGX9OwBU503ksLFHJnQtfwAsEy46FapHrlyzEEKIIZh0tpNAs8IMZE9pntHkoP2g0KvoL5E1ENNvdCiFQfKLhgHU7tgSt12ZoUXDAArtpWx/51Q2rCtlndvglu+EcSf5MNa/ziK0K/K7Mko13HNz44nBh75Qz+tqR2r+2wshhIiSIK0QOU7RXVNsgKBaV68grd1SkKIO93Bt2bCaDavei9u35IxLcmaRhdFKEb9o2IHh7Bj0hp9wghX5bBhzwxiVfdv1zLZHUd2f8dNrzsNhG35tQqWgpR0KCyKLhRkyJhFCiKy23xc8+Bss/I3WSDdlVPrhtYrtu2FHfd/+Y2yQdkPz20zWiilyJ7+SZt3OrXHblWMnJn3OobKURXubi4YGOw2AkYJ4avuL0SzawiU2dFtuBGk/8keDtAe6pd6zEEKkWm7cLYQQA3r0VXj6LVixtv/3Y4O0ulI0+rdiEur/4DR74b//jNu2O5wcftK5I9IWEbVLh8bummOaUhxs7uUbMsDcZGB+2F03WVfYT+ubRRsw/by4/SkA3DYPp085b1jXCJvwkz9GFguz26AwDwr6KacghBAiC/Wz6JVITlgpYrsAj27+FataX0/6vP6uTtpbGuP2lY8Zn/R5hyqkwrhdFgX5Jh63wu1K7nwqrGh/IyZIe/LIrPOQao1hk9X+6M91mFeCtEIIkWqSSStEjrvpLxqNrRoTKxWnHNo30zA2SKvCHfzi42u5YNI3OdR9Siabid/XxevPPBy375BjzyCvoCij7RB9tWswzlTsMDQmWVAywu1RFoQeic5DtB0ewpjQN1vqtZ0v0hlqB2BJ9cmUu8uGdZ0HnoRHX4QnXobrr4IvXJRcu4UQQojRQvX8T5S/9w4riMfmTfpa9bu29dlXMXZC0ucdipWNL7OrcwvTj5rIWScfz4TSkqTrzvvXW6juxUadU3Rck3JjCs7LHcGeT8BYm858d24En4UQIptIkFaIHGd1x64GqhjQTjS4pYU7ASh0Di+YlQrvvvIUfl9n3L4lZ16S8XaIvmaY8INORZOmyIbZeuY7dtTO7gGP18J+hr/PMUopntryfz3b5029eFjXUAqWr4i81jQ4dKEsFiaEEKOJ6h1QFEkL9vqdnjHuKmo805M+b+8graZplFaOTfq8Q/Fuw3N83BzJBv7xvCVoJD/VtOvDaL6xd//cCNACvNAR7W+dWOCScmRCCJEGEqQVIsf9+POK7bUKNUBZNj8KBxAE8jUnB5WeSIWzOpNNBGD5Uw/GbY+bNI0p+y3IeDtE/4JAhYJKixGdP6p8EHo6Or3OcWoAPb/vcWtbVrG5/VMA5pUewH6ls4d1HU2Dn34L7nscXA44cHjfLoQQIhtIDCkhly7TqGuCsiK49QvRwGzvTNpDSo9DT8Fis73r0ZZUjMVmz8xU+t2+yIJl+fYSCmwloEOyP1JckPbA3AjSBizF8s5gz/bpBUnWhBBCCNGvlAVpn3/+eV544QVef/11tm/fTkNDAx6Ph/LycubOnctRRx3FaaedRlWVLIstRCadeAhs2QlNLf2/f6Tm4l3GsNEKssnUMKqvpcCR/NS14WjYvZ3V78XXNDvi5PPkCX2WsBSEAUf310gKPeeEzsjoSRtrYhzVf/3kp7b8t+f12VMvxNCHN0iyLGjvgMvPhOoqWSxMCCFGC2UqPvhpF1ZAods1Zl7rHukmjTprNkNDq0YgFB+Uja3+bldE6v6mYIZN70zaTNaj/X8zbmFD6ypcNjsaBpo28OyzoTDbFIENkcwIzQnuubnRgXi7K0inFfk8eDSNE/MlSCuEEOmQVJC2o6ODX//61/z5z39m69atKBX5w+1yuSgpKcHn8/Hxxx/z4Ycf8s9//hObzcYZZ5zBddddx2GHHZaSH0AIMTg1hNl+FgobGm4LfMpES0WPexiWP/1Qz98PAE3XOez4szPaBjGwMGAHHEkOXFJBn2BiFljQpuM414/ez11MKUWBvRCH7qTQUcSS8ScM+zptHZHyBoX5kOdJQcOFEEJkhGXCtsciGX+OYgnSJqIgD4IhhadXHM4GHICDDmURtkwsTOwkH4Ss2xWfSVsxNnNB2mJHBTML83jxqSmsDxlMmaC49uIBpp8NQee74Z5avp75BoY7C+pEpcCLHdEQ/VF5DjxGbvxcQgiRbRIO0v7hD39g2bJl1NXVMX/+fK699loWL17MgQceSF5edPlrpRTr16/nrbfe4plnnuG///0vDz/8MGeeeSa/+MUvqKmpSckPIoTYi0GCa5YCy1JYVhilFPowsw6ToZRi+VP/ids396AjKSqrzFgbxMBesoPbhKnmyGfRAhizwugTTNQ2A2O22e8xmqZx0bSrOK76TDQ9jMc+9CjrA0/CvBmRAeqYcigrTlXLhRBCZEJseacMP3POGc/fodiyA+qb4/eP12zcTSnPN7/Npx072BQymV64IOnrjWQmbUiFMXSdd1e6CQY1mluspIK0HW9H+yb5h+VGZUFLKZ5vj9ajPbVAHnwIIUS6JHzn+MpXvsIll1zCt771LWbPHrhYn6ZpTJ8+nenTp3PZZZfh8/m47777uOWWW/jHP/7BD37wg0SbIIQYgnXboK4BAkGoKOn/mJAVZnXT2wRNHXeGQ3Gb1nxI7Y7NcfuOPPn8jLZB9C8M/MOpEdQ0NKW4vUux3wiuw6IU4NfQ8hXG4tCgWb0doS4qPOVMKBw35PN/tA7+927QNfjsuXD9Z8GeG+MrIYTYd8Q8v5MgbWKUiiSDDnSbfWzL31hR/wIAP174f0leS/UTpJ2Q1DmHw7QsDM1GqLt6UjKLhCqlMLyguUEFcydI224p5rnt1LZHsmnPLpRSB0IIkS4J3znWrFnDlClThv19brebq666iiuuuILt27cnenkhxBCd+g0NpTTmTlb89vq+EbZ2ZbEtUMtPV16NBiwoXsKVM27MWPvefOHRuG2XJ4/9DzsuY9cXA9uqQ7A7EmoDpozwomGEAEOhO0GzD3xYMBwkbJl4HV489qHXV37omcjA1FQwriJS6kAIIcTooqyYvo4EaVPOAjpDbQDoGDj15AJ2bc0NBP2+uH2ZyqR9vfYxWvxNjPFM4hfLqmhvdw+Y0DAUmqZR8UUnpS0WVpeGrSQ3PoCFhs6tYwv5UsBkZ9hkrCM3gs9CCJGNEv4L2ztA++qrr3LEEUcM+fsNw2DixImJXl4IMQRKgVKRqJo+QD9xqWrlcbcBxz2HZ90fKAxkLgpnWRZvvfBY3L4DjjgBh1Oe0GeDzTFVL2qsSE3akaIUENDAo8A1cDrvM1seYUrBflR4xpDv8A5r8blvXxMpcbB2M3z2nJGvvyuEEGL44sodyN/xhET6jwO/3xVuB8BleNAH6mAOUd3OrX32VYzNTCbta7WPsqNrA07dw5LDz8ZuQFkSQVoAFQLdpeMYlxsB2j3aTMUEh8FR+UmkGgshhNirlD0GO/HEE7n33ns566yzUnVKIUSSlIIrT1W0tkNZYf+97Xa6RzOagWYFKXCMzVj71n+8gqb6XXH7DllyesauLwa3TY+Obmv6L/+aEeF3bOg1JppHoTsGzqLd3LaBO1f/Gg2NsyZfzLcP+t6Qr6EUtLXDJWdEArXJTHcUQggxcuJr0kqUNhHf+6NGZxeUFymuOCW6v1aZrFEhGjxjMK0unOFQ0ovN9i514HC6KCwpT+qcQ2Epi3p/ZFZnhbsaQ7ejpWCB1EiQFrRsKOSfIm2mhQYUGDp58m9KCCHSKmWP+Gpqajj//PP505/+NOAxHR0dLF26NFWXFELsha7DDVcqvnye4uRD+j+mJ0gLaOFOipzp7xjv8VavUgd5BUXMOfDwjF1fDG5bzB2ixhqZYrTWLp3Qg24Cv/QSesGJcg7cjme3RrKyFYqpRdOw6UN/DtnRBboBRflQUph0s4UQQowQWTgsOZYF9z2j8chyjRVr4wNyrxLgWprYNn8pnTO/itsY3oyV/vTOpC0fMz7pcw5FW7CRoBVZDKvSPSFSgzfJIK1SCmUqNPvgZZlGg5BS/LKunbqQSZtpUWbTqbQbGflvI4QQ+7KUdV1ee+01DjnkEL7whS/wwx/+MO69YDDIr371KyZPnszNN9+cqkvyzjvvcMopp1BcXIzX62XRokXce++9wz5Pe3s7S5cuZc6cOXg8HoqKili4cCE33XRTytoqxEjZ25S1DqJvauFOiuylGWgVWKbJ2y89EbfvwCNPwmbPodSDUUwB22LKHUwboUza0HPdnwdTQwuDPsjH45IZV3Pu5MuYUTSbk2rOGNL5m1qgsQXaOyMB2rJimR4rhBCjWWyQdkTrqI9S4Zj7fe9KBoGYPiNWAJcx9LrvA+m7aFhm6tHW+aPXLbZm8/RLOq+/o7N5WxIfmjBohoZm10d9MPNX9R38vrGTczY3sj1oUmEzcEsWrRBCpF3Kyh0UFRXx3HPPcfHFF7Ns2TJ2797Nr3/9a+655x6WLVvGtm3bKCoqSlmQ9qWXXuLEE0/E4XBw4YUXUlhYyEMPPcQll1zC5s2bueGGG4Z0nq1bt7JkyRI2btzIcccdx6mnnkogEGDDhg385z//kcxfkTsG6FfFZ9J2UOysyEhz1n+8gtam+rh9hxwrpQ6yRaMGXTEDjJFaNMx2dJBwQMPaaGA7OTDosRoGS8adxmX7XUOBY2irfv31Yfjv83D0IvjutVLmQAghRjsVE2SUTNrhs9vgxd9ZbN8NXf7492KDtJoZSlGQtlcmbYbq0db5okFaV9cs7v9v97BYC7NwzvBnD9XfFUBZ4J1nkH+4xmh+QvBSR4A/N3YCUBu2eLrDzyUlnhFulRBC7BtSujSj0+nkwQcf5Ktf/Sq/+93vuP/++2ltbSUvL48bb7yR66+/noKCgqSvEw6Hufrqq9E0jVdeeYX9998fgKVLl7J48WKWLl3K+eefz7Rp0wY9j2manHfeeezcuZPnn3+eY445ps91hBjtBsuiBWiP6XAbYT/59uI0tyhixatPx23nFRYzc/4ANRlExm2NGdhWWArvCI019EoLx8U+MDWMysE/zJ3BLvKcHgqceUM6d3snPP4ShMLw5gdQlblKH0IIIdIlpjyPBGmHT9OguiIS7G5ujX/PHxuktQK4jKHdbwdTv2t73HbmMmmj1y20jet57U7gYa0KK9peDKMC0PZcmLxDUzrEzii/pfjuzuh/+OlOG7+tLhr1mcFCCDFapLzr8tZbb7FmzRqUUrS0tFBZWcnatWv54Q9/mJIALcALL7zAp59+ysUXX9wToAXIz8/n+9//PuFwmL/+9a97Pc+DDz7IO++8w/XXX98nQAtgs43eG6wQAC3tsPAKjTO/o/G7h/p2rkyl6IzpcOdhYNPTX0RLKcW7vYK0Cw87DkP+zWWNTcbILxqmLCCggRP0KmvA48JWmJAZJGSF8dq95DmGNmjUNbj4NCgugPNOkFq0QgiRC+LKHUiQNiEDlcoKxO60grhtyWXShsMhGut2xu2rGJP5TNr9p5Ty5c+G+H+Xhjhw7sD9jYEEtlqo7sk+zsk6tqLR+8H7v1YfDWbkd+DS4L6JxRQYxl6+SwghRKqkLCKyYsUKfvCDH/DUU08BcMkll1BWVsbtt9/OlVdeyX/+8x+83uSnxECk1AHACSec0Oe9PftefvnlvZ7nX//6FwDnn38+27Zt4/HHH6elpYUpU6Zw8sknk5eX/NNhIUZS2IQufyTYFgz37W3HBmgBCjRnRp6Ub9u4pk8NsgMOPzHt1xVDtzm2Hu0ILRqGH3AqdI8adAGOW969AR2d48afwYySqUP+DHs9cMaxcN6JkkUrhBC5Iq7cgST/JaX37y++3EEAd5KZtI21O1FWfFC0fGxmMmnruzNpC+1ljC3PoyRfYSkYUzb8czmqdcZ+34l/nYW9cvQGaC2l+GtTZ8/2ZcUeFnqkDpQQQmRSyoK0Bx10EAAnn3wyt9xyC/PmzQNg0qRJfOMb3+Doo4/miSeeoLw8+ZHw+vXrAfotZ1BcXExZWVnPMYN59913AVi+fDnXXXcdgUC03mF5eTkPPPAARx99dNLtFWKkGDosmK7w+WFMP+uBdcTUo0VZFOmZqTf17ivxWbQOl5s5Bx2RkWuLoemIGZhNz3AmrbIAi8hiYV4FroGP3dK2kY8a3wOgPdTKOdPOHfJ1giEwTSgpg6oEBmVCCCGyT2wmrWZIlHa4fAF46CVobYciLxweUwUrfuGwIG5bckHaup1b++zLRLmDsBWkKbAbgEr3BHRNBxWpIpvIJ0Z3aLimGrinGdhKR2+Q9pXOIBuDkU6fDnyjfGj1/YUQQqROyoK0hxxyCLfeeitHHnlk3P6vfe1rVFZWcuWVV3LYYYfx9NNPU1NTk9S1WlsjdXIKC/ufm1pQUMD27dv7fS9WXV0dAF/5yle4/vrr+fKXv4zL5eK+++7j+uuv56yzzuKTTz5hzJgxez3X4sWL+93/8ccfM2fOnL1+vxDpUFwA9/9IsXUXdPn6vh9bj1YLd1Fo7yeSmwbvLY8P0s5bdBQO5yCROJFxS7sUW1E06zAng4uGmVt0Qv9yYzsugDE3jOZWg2ZCPbnl4Z7XZ025EIfNMeRrdXRCngcK8iTbSgiRedJ3TBMFmg2wpCZtIlo74MY/RH5xxyxUHL4g2leMXb5TswK4bcktNtt7VlV+YQluT/pnMtb7d6K6+8BVnkh5BUV3kDbB/oAKg+YCRnFlgL82RrNoTypwMdOd/hJoQggh4qUsSPv6668P+N6FF15IWVkZ55xzDoceeii7du1K1WWTYnVPrznttNO49dZbe/Z/5StfYceOHdx222385S9/4Xvf+95INVGIpO2pK9ZfpzM2k1YzuyhwpD9I21C7gy3rV8ftO+AIKXWQbUwFXqDGgvwMBTCVBaH/ulCNkUAtQT/GScEBj28LtPDqzucAKHIUc0rNWUO6zodrIwuFHbEQZk6BgtRU4hFCCJEF8icbnPJ8Ef56i3DXCJXrGcXCMbNnjF5B7rhyB1YQjz25gGp9r0za8rEZqkfrjwaHq9wTaW6Fnbs1bDYozFN4E5hYpkwFhhZ5QDAKfeIP8XpXtM/1zXIp+yeEECMhY7eR4447jpdeeolTTz016XPtyaDdk1HbW1tb24BZtr3P09DQwBlnnNHnvdNPP53bbrutpyTC3rzxxhv97h8oS0KIbDAOG6e3buK5+ufRzCBF9uq0X/ODN1+M29YNgwWLl6T9umJ4TMDe/ZWxa75rR+3oTkFxK2wHhwY9/tltjxGyIsecPOkcCp1DW5zyH4/A8hVwzyNw/69gcmbK3wkhRBzpO4psVFIAv/yaRV1TpNxBLH9suQMzhNuVZJC2VyZtJkodANT7ojMux3preP1dnXsfjgyLf3R9iPLS4QX3VTgy60e3a2j66JyaE1uLdn+3nWPypBatEEKMhIxOAlq4cCGvvfZa0ufZU4u2v7qzzc3NNDQ09FuvtrcZM2YAUFRU1Oe9Pft8vn7miAsxiigFDNDXrNIMZjZ9gGfTP3Fv/TeFzvSvnvTBG/FB2mmzDyCvoCjt1xXDEyTyFC9TQVoVhNCz0VIF9lP96MUDD5LCVohntj4KgE2zcd7Ui4Z0ndZ2ePfjyOuxFXDArMTbLIQQIktJAm3CPC445VBYcgDM6JXY2tlrBpbXtvekmMHU7YrPpK0YgUzacd4awuHoe7ZhlivofD9MuEmhOTQ0x+gM0AYsxRud0Szar5blZWQhYSGEEH1lvFLT5MmTkz7HUUcdBcAzzzzT5709+/YcM5glSyLZe6tXr+7z3p59kyZNSrSZQoy4HfXw2Zs1vvsHjafe7P+YBn9tz+tiR3qDtMGAn1XvxT+omX/IMWm9phgeC/jYgHYym0kbftkBbZFbklZhYjt68CzaN3a9QnOgEYAjxh7H+IKhDewK8+Gen8KlZ8AXLgKXJIoIIUROUhKoTVrvON0PtCKO2Hg/+StvxN70Hnm25BaWaqzdGbddVpX+GV0Adb5IkNbQ7IzxVDN9suLkY0xOOsqkvGzoHxyrS7HrpwG2fNXH7tsDaI7R+aFz6hpPTC7jW+V5HOl1cEmxe6SbJIQQ+6xRWU7/2GOPZfLkydx7772sXLmyZ397ezs/+tGPsNlsXHnllT37GxoaWLNmDQ0NDXHn+exnP4vT6eQ3v/kNO3bsiDvPT37yEwAuuOCCtP4sQqRTpw/eWqXx3jqNnQ39PxGvD0SDtEWO9C5xv+aDtwj647PTpdRBdqnV4DaPzrcLdL7n1TJyk7B26oRfjMmiPS2APkh0WCnFE1v+07N9wfRLh5XxoetwzflwwckJNVcIIYTIaXvWM+htsmbD2bIKR/3rGP5aPEbi5Q6CAT9tzfFjs7LKsQmfbzjq/ZFyB+WusdgMJ/tNU5x5osn5p5uMHcZaaIHNVqQ+lAUqpNDto3JoDUBQKT5T5OGhmlLs+uj9OYQQYrQblX+BbTYbd955J5ZlccQRR3Dttddy/fXXM3/+fFatWsWyZcuYPn16z/F33HEH++23H3fccUfceWpqavjZz35GXV0d8+fP55prruHLX/4y8+bNY+XKlVx77bUce+yxmf7xhEgZS4GuRXrZA/W39mTSOnQPLlt6V1DqXeqgpHwM1ZNnpPWaYng+jZnmZwNsaZ7tpsIQfMAFZuRC+uwQxoHhQb9nXctqPm1dB8CskvksqDhgyNfr8oNhgNcdmdIphBAit4Q7FS1rw7RvNgk0Wnv/BhHHH4B122BrLbR39X3/uwt+w7cXPsS10/8Xw3D0PWCImur6LiRdmoEgbWeolc5wGwAV7gnRh7wKNOj+n6EJbIx+vlzThlknIYuYStFlKQoMjcLeq8UJIYTIqFG6/iQcc8wxLF++nKVLl/LAAw8QDAaZPXs2P/rRj7jkkkuGfJ6vfOUrTJo0iZ/97Gfcf//9hMNhZs+ezQ033MA111yTxp9AiPSbORE+/qdiyy5FINj3/ReUn6qD/oDhayC/fSeGnt4OZu9Fw+YfcozUvMoyG43of49p5iAHpkj4BQdqV/fnzmPhvNjP3j6Gj2+OZtGeM/VibPreb2X+AITC4PNDnheKhrbGmBBCiFGmZU2YN77aAUD5QTYW3DhqhzsjYt02OPNbkUDdeccovnp+fEqtTXfgthdjd4XRtcQDeo11O/vsK6lIf5DWb/qYUXAgdf5tjPVM6tmvALS+JR4GE9gcG6QdvcHNdkvh0TUKDB2b9MuFEGJEpbzX0tbWRktLCxMmTOh3O5UWLVrEk08+udfjli1bxrJlywZ8//TTT+f0009PYcuEyB6KSFKA0U/g630V5P8ME/KKWaS7IlO20qR2+2Zqd2yO2yf1aLNPbCbtTCu9tdWsHfFlDhzn+tH3UguuwVfL27XLAahwj+H4CScN6Vr3PwH3PgZnHwdXnx/JpBVCCJF7VGzy7OiNm40YM+b3Z/QTr7MAEwuUSupBe+8grSevALcn8fIJQ1XqquLK6cswTYsKT6TMl2VFvoYdpN0U7Ti7Z4y+TNr/tvpY0RXkvEI3+7ntFEkWrRBCjLiU/yX+1a9+RU1NzYDbQojs4YtZ/til0vvk/KN3X43bNmx2Zh1waFqvKYYnBGyNuSvsl8agfU+ZA6u7zMHcEMbiwcscADy15RGs7hH46TXn4bF79vo9nV3wz0ehvTMSrIXhDcKEEEKMHvYCjbIDbRTPMfCOH32Bs5FWVgRXnKw443DFjAnRfmKTMjnNquNLqok/usFK8kbae9Gw0spxSZ1vOEzLRNd17LZIvtKd9xp8+Xt2rv22ncamoZ3DCiiC2yO/H80N9urR1bGoC5n8rK6d+1p8XLa1mbc7gzj10fUzCCFELpL5P0LkONX91Z+umHfSvcj9qneXx21Pnb0wIxkTYui26RDuHnQ5lGJKd1ZJOoRfcKB2dw+evUMrc+AP+3h+2+MAuAw350z7zJCuFQzDkkPgqVfhvBNh2sRkWi6EECKbFc2wseinefgbLKx+Sj2JwY2vgP+5TLF1NwRD0f1tKNYTBg10Q7Gh9W0qPYmvwNlYuyNuOxP1aPcwTQuH3YGhRYbCYROU0giHwTbE0XHXh2ZPB9s1WUe3jZ4s1OawxWe3NVMbjjz0NlEc5k28vrAQQojUkSCtEDlsWy38/QmNzi6YN0Vx2Pz49+tCLWCPdMrMUAsYw1jSdhgs02T1e6/H7Ztz4OFpuZZI3LqYIOlkM32LhlktGuGXY8ocXOBHL9l7aYWXdjxDZzhSZ/DY8adQ4akc0vWKC+Bz58IVZ0N1pWTRCiGEEINRPf8T1U60DoIKt/Fp+0oOG5N4kLb3wmGlGahHC2AqExMTQ9OxdT8dHlelmDEl8vM5hxir7HwzOvsn75DRM6RuNy2u2tbEukC0/TdVFTDVZR/BVgkhhNhj9NxRhBDDtr0e7nwkEpGy2/oGaRvCHWAvASAQbAB3eoK0m9Z+RFdHW9w+CdJmn7UxxedmpbPUQYsGeQpaNPQZYWwH773MgaVMHt/0IAAaOhdOv3zI1/MHQSkYXxX5EkIIIcTexT7U7IiJ2mrhTtxGflLn7p1JW5ahcgdLV1yArtnYr+hArpv/cwDOPNHiiIMtCrzgGULNehVSdL4b7SjlHz06htSdlsXV25r52B/td32zPI//qZTVVIUQIluMjjuKECIhZkygrb+1ADpjVgrLN1xpa8eqFfGlDjx5BdTMmJe264nhU8CamEzaeWb6Fg0zJlk4v9CFucKO7YDQkDJbP2xYQa0vknVzcNXhTC+ZOeTrdXRCnhcK8ySLVgghhNib/kplxWbSlttKObgi8SxapRQNvRYOK6kYk/D5hsoX7qAj3AJAV7i9z8Jn2hAXDutaZWL5Iq9d03Sc47K/9rHfUnx+Wwvv+aI1LL5Q6uWnYyRAK4QQ2USCtELksPnT4P4fWeysg7LCvu/nuyqhu9NdaUtPFi3Ax70WDdtv/8UYQy36JTJihw4d3QtGaEqxwCRt9WhVEDQ7OI4PohUMLRg8v+wgrpu/lGe3P8pF065E1/Ze++29VbBlJyycBeUlkO9NtuVCCCFEbntxBXzxZxqaBledqrjg2Mj+9piwbb7moMQ5tJJD/eloayHo98Xty8TCYQHTx9T8BTQEdlLpntDvMUPp+nS+HU1yyDs0+/uzAUvxpe3NvNkVLdJ8RbGHO8YVouujp5auEELsC7L/riKESFi+B2bVQP4ASbJBTWdPkLbAcA+8wlgS/L4u1n/8Xty+2QcclvoLiaRsjumj11jgTVeA1gKCGrhV5GuILGUxMX8a3z/oNiYUVg/pe/78b1i5BkoK4aHfgIxDhBAi97VvMal9NUjYp/BWG5QfKLU2hyMYBl8g0gmwrOh9OjaT1qUUWhJPcnuXOoDMLBxW5CznczNuJmyaVHrK495TKhKg3dtPpaxepQ6OyO7hdEgprtvZwiud0QDtZ4rc3Dm+SAK0QgiRhbL7riKESKuumKisW6UnKrf+4xWEQ/HLK8856Ii0XEsk7vAwTG+32KxDUTpLAgQAm0J3KbRhjJs7g514bB7ynHnY9L3furbshA/WRl6PqYAp4xNrrhBCiNGldU2YT37vB2DciQ4J0g5TgRcWTFP4AlAcU3Y2tiaty1JJBfh6Lxqm6TrFpYln5g6HaVkYuoHNiPYl/nC3wbZdGoX58KvvD14nP7DBwmyJ/C4c1RrOmuwOdH7kC/Fie6Bn+8wCF/+YUIxNArRCCJGVJEgrRI5TgyQr+mKDtJqelkzatR+8FbddXF5FVXVN6i8kkuZRMNeEqqGkkgyTucoGlSa6A7R8BUNYmAOgK9SJw3DQGeqi3FNGkWNoC5VMHAt/ugn+/QycdjTYZYwuhBD7BBVN+GQIlXFEL4vnwN1LFdt3x/ch22N+sS2d6+mySnDbhngz76V3Jm1xaWXGymBZlondZsPQo3Vkt+7U2LJdJ9+r9tr/CTUodC9YnZB3iK1PXdtss8Bt50djCvjB7jaW5Dm5f1IJdgnQCiFE1pIgrRA5rLYJ3vgImlth0pj4mpxKKcxgC3bDRVi340xTG9Z88Hbc9sz5B2d9h3ZfFQZcpP7GYO3QCf4zUnPDODSI48zAkAfO96z9Ex82rGDJuFO5YPolOGxD+6RaFpQUwfc/DxMzs2C0EEKIbBATpE1XbfV9Qe+H/LE1aXe0vkvIc1TC5+69aFgmSh0AWMrEVBY2TcceE6R1OMDpVLiGsIZu/qE23LN0ApstXFOye8EwSylqwxZL8pzMmlTCcXkuXBKgFUKIrCZBWiFy2LufwNf/N9IZ+8p5FlNiSnm2hVqwvXwmBcCUwsWMnXlzygczwYCfjZ+sjNs3c/7Bqb2ISJkQYJDaG4NSEHzYBWbkw6XqDPAM7XtbAs28vOMZQlaIJ7b+h6vmfn7I1+30gcsJBXngkCxaIYTYZ8Rm0urZHUPLWv3NwuqIiX5r4Q689qHNbOlPY23vIG1mnqb+ZOWVhKwQUwrm8e39b+/Zv+wbYeoboawE9pZHoLp/OZ75BvbS7At4hpVCEenP1YYtnBpU2Q0O8DgwJElCCCGyXsrvLEqpnptXf9tCiMwxYwcqvfpljcGGntd59hKMNPTbNn7yAaFgIG7fjPmLUn8hkZRWDdpUpENv1/Y+QBkOTQP7BT70GWHwWjiv9A150Bw0AywoOwgNjdMmnUuxq2iv39PlB9OEjs5I5nhh4mNIIYQQo5CSTNq0mK7ZKWldi63pPYyuXbj1IT5x7UdT70zaivRn0oatEI2B3bSG6mkPNfU7q6t3X7n/E4FmaOgOHW1I35A5IaX4xo5WrtvRwo6Q2ROgHWs3JEArhBCjRMqDtMuWLcOyrAG3hRCZM3cKfOdyi2vPtNhvYvx7jYH6ntdee0larr+mVz3a/MISxk6cmpZricQ96tD4UoHOT7waL6ch61TPVzgu8eH+n070kqE/tKvwVHHFjK/w00P/zEUzLh/S9/z6brjkW/Da++B2RbJphRBC7DukJm1ynn8HrrlF43t/0li1Kbr/y1o+Uz75XwpXfJPCpg/QkkhT7pNJWzEm4XMNVXOwDtWdDVzh7idzVxtaTF+FQbMxrMVPMyESoG3hyXY/T7cHuLm2jRKbzli7gU0CtEIIMWpI10WIHFYzFi48Hs44HCZUxb/XEKjreZ3vyEyQdsb8RVKPNgtt6B5n1aYhnVqZQFhDc4JWPrxZFf5QJAt7StFUKr17H8Bt2g6PvwxbdsJfHwJvYuuZCCGEGMWUGb3XSJB2+HY2wturNd5fr9HWFf9ee6gVAJeRh57gLzccDtHcWBu3LxPlDhr80cBwuas67j219/XCosfuCdJmUdHAkFJct6OFp9pjZ69pjLFJgFYIIUYb6boIkeOU6u589uqj1QYaMV2VWPZC3M7ylF83HA6x/uMVcftmLjgk5dcRyQkCm2PuBLPNFF/Ar4FLobnUsAfLHcEO8h1eCl0FQwruF+bD4v0jr688B0oKE2ivEEKIUS0ukzYdtZxynQJDjwS6e//6OkJtALgMb8IP3VsaalG9ZllmYuGwxpggbZV7fNx7//iPwUNPGjz76sAdlXCLRcN9Abo+DGMFVdZk0oaV4us7Wng6JkB7XJ6TR2pK8Roy1BdCiNEmi54BCiEyaZ1m0XLE/QDcb4Y5umsv3zBMm9d9TNDvi9s3U+rRZp3NOpjdAy2nUky1SLqGn1JEVtfuDvjqTmAYZQfe2PUyOzq2sbDsMCq85eQ5vEP6Po8Lvn45nLkEzj5+uK0WQgiRC+Jq0kqMatguOxlOO1yxbZfCFlPRIGyF8JmdALhteQmfv7FuV599mcikbQxEr1vljQ/SPv+qTtjUqGuwuOyc/sv0+T62aHk4DEDeoQbjb068Jm8q/afFxzMxAdoT8p3836RS3BKgFUKIUUmCtELksC4/NDRDa3tklftY9WY0gOpOw9p+a3uVOvDkFTB+8szUX0gkZU3MXWCKCbYUJB1ZH9kIPe3EdlQAfWEY3GrIi5FZyuT+9X9lV+d2Ht/8IH8/4f8GnVK5J0u8yw8tbVBWDLOnSqkDIYTYV6mYGSFS7iBxWq+FRJ8xWwiWHwpWCBtFCZ+3sXZH3LbT7cGbn/6pLw1xmbSTel4rBWEz8oPaBymz6/s4+sHyLMieIfTjbf6e10vyJEArhBCjXVJ3mJdffpmjjjoqVW0RQqTYgy/AD/4c6agt/azFsQdF32tU4Z7XBSr1nbk1K+ODtNPnHohuJL7IhEiP92KisvubyUfrVQBCTzpRTTqh/7hx2H1ox4SG/P1v7V7Ors7tAMwqnU91fvWAx27YAj/8HXzrc1BaBOUlka+igmR/CiGEEKNWzK1MynEmSEW+Yn99t2oB2hf8GIDwunsTPnWfRcPKx2RkvYKGQOS6biOfQmdR3Hs//16QxlYYM0j1r8ITbRhFGv61Jt6F2dGfbTUt3u4K9mwvrSqQAK0QQoxySf0VP/HEE7n33sRv0kKI9DJjZmzpvf61N+vRDnFBsvPbe7FMk3UfvRu3b+aCg1N6DZG8Fg0+jSk4d3h4kIOHKPREJEALQJGFsXjoAVqlFA99Gr2nXDrjcxgDrB69bjNc+wNYvwX+5+dgmlBVBsUSoBVCiH1a7MJhUu4gdYIx0W+35kj4PI118Zm0mSh1oJSi0R8pd1DmGose07fQNKgsg7EVUDVIkNYxSafwRBtjf+DCWZMdH6xXOgJ7KktRbugc5smSQrlCCCESltQdpqysjMsuu4xbbrllyN+zefPmZC4phBiGKdVw6qGKoxYoyori3+vQoh3U/BSXO9i2cQ1dHW1x+2bMlyBttnkvZi5FhaWYkuTnwFxvYL4ZHbg5L/Khu4b+/e/Xv82W9k8BmFu6kEVjFg94bE01zJwceT1lAkyb2LekhxBCiH1PbLmDAZ7ziUEs/wB+/YDGP57WqGuJ7g/GHOMxhnFz76V3TdpMLBrWEWomaEXKApS7+gaFFYC2l8xrEzQb6A4tI5m/QxGbRXt8vhOjd0aGEEKIUSepcgdvvfUWp5xyCt/73vfYvHkzv//979EHuDmsW7eOn/zkJ9x3330EAoF+jxFCpNaRC2BOjWJ7LThiHq77TR8BW3QxpoIUB2nXf7wibtvhcjNp+pzUXkQkLbbUwcHh5NYLU10Q+nd00GY7JIgx3xzkO3p9v1I8HJNFe8mMz2HT+79FmRY0tcB3r4VnX4dvXw35Q1tbTAghRI6LXThMM7IjmDaavL1K46+PR35vh85VTBoT2R872cY7nCewvfQpd5CBIG1DzKJh5e5+grTd/eDBYq8qHPk8aako3p8iH/ujs5UO8w5jhVYhhBBZK6kg7bhx41i+fDnnnnsuf/7zn9m+fTsPPPAAXm90tPzhhx/y4x//mIceegjTNJk/f37SjRZCDJ3q/p/YjmdDoB7LEV2kId9KbZR2w+r347an7Dcfm02mYGUTP7A6JsPosHByn4HQf12o1shDOq3Ywn6Bf1i1AD9p/oi1LasAmFY0iyPGHd3vcUpBYzO4XTB+DBy6P9iyZ/0OIYQQI6zmAieVR9rxN1q4iiSzcLjCMUFuW0w/IRxzU/fqnoTP33vhsJKKDARpYxYNq3TF17r3B+DNFTohE2ZNVZQW9d8fUiHQXaBlUXf2i2V5LO8IsDFocqg38RIUQgghskfSQ9v8/HyefPJJrrnmGv72t79x5JFH8vjjj7N161Z+/OMf89hjj6GUYtGiRdx4442cfvrpqWi3ECIJTYF6lKO4Z7swxZm0n67qFaSdtTC1FxBJ26pHM2fzlGK+ScKptOH3bZgru0ctmsJxuQ99mJmtD3/6z57XF8/4LA5b/GDDsuC+x+GYg8HpiCwUNqa8b61lIYQQ+zZHgY5maBhOTe4RCbjiFMWhcxW762F8RWSfUgpTi/4y8wx3Quf2dXX0KYdVmoEgbWNMJm2VZ3zcey1t8Od7I0PiE48yOWhe/Cwgy69QqEgZDZuWVUHa4/KczHDamGA3mOKUJ9ZCCJELUvLX3DAM7rrrLmpqali6dCkzZsygo6MDpRRHHXUUN954I8cdd1wqLiWEGC4Vt9Ax0J1Jm1fWs53Kcgftrc3s3r4pbt/UWfun7gIiJaZb8Mt2xcc2BTokOnvPXG3Elzk4Noht1tDLHAB82rqWDxoiJTIm5NVw/PiT+hzz0LNwxz/h3sfgB1+EeTMkQCuEEGIvsmdm+qhRWQI2HfJd4O6eQd97CdACI7EaQ011O/vsK8vAwmFNgd09ryvc8UHacEwdB3s/I+P2V8LU/zWIa4pO8Xl2io7LnkLHQQV2DVx69tTJFUIIkZyUPXJ7+umnefbZZwFob29H0zRuvvlmbrjhhlRdQggxTHc+Anc+oqEU/OBKxdypkf2NgXqskmk9x6Uyk/bTXqUOAKbMWpC6C4iUMYCFYajUSGgga240CN7jBjPyzdoEE/tZw685/uCGe3peXzjjSpz2+Fp34XAkOAvQ0g7VVfE1loUQQog4KZ4htK8L9vqF5uv5CZ2ndz1agOLyqoTONRzNgVoAdHQqXGPir18I114SxueHWdP6fnC6PjbBBP86C9U7Wj3Cgkrh0DScugRohRAiVySdh/Twww9z4IEHcsopp/Daa69x7rnnctddd1FQUMCPfvQj7r///lS0UwiRgNYOjd2NGrVNWlyNsd3BJrBFp6qlMpO2d5C2rKqaotKK1F1ApEwIsHd/DZfyQ/CfrmiAttrE9eVO9GGebGPrOlbUvQHAGE81p9Wc1ecYmw1+fSMccSBcegYcJtUzhBBC7I2SSG2ilIp87UnO7B2kLbQllknb0CtIW1BchsOZ+CJkQ9XUHaQtdJRht8cvsOX1wCELLQ490GLGlPifU1kK36ro7KC8hdmTRQsxQVrJohVCiJyRVCbtnDlz+OSTT9B1nUsuuYQbbriBmTNnAnDggQdy8sknc+mll7Jt2za+9a1vpaTBQoihK8pXTKiEYAjcMSU+PbqT6lW/pFXTOGDCVRSQWEZEfzb0qkc7dbZE1LKRpcAkMk0ukRtB+EUHdHQvFFZm4fpKF3rhXr6pHw+sv7vn9SUzP4fb3ncxkrAZKW3w46/D2IrBV18WQgixb7NCCiukUJbqjtPKTWM4Pt4IazZBcxscMidSB753AqnHSCyw2nvRsNLK9NejtZRJc7AOgBJnFbrWf46S1vM/UcFtCqs98tpRrWGryI46S35LccmWJiY5DA50O7iuPG+kmySEECJFkgrSrl+/ns997nN897vfpaamJu69OXPm8Oabb3LKKafwne98hy1btvCb3/xG6uUIkUGfOx3OPFyxvRa8MWs8fG7K5zmxfTcr22sh5MJIUeETy7L49JOVcfukHm322a1FsmdtKvL/h/tnWYXB/DCaMuu4wIc+wGrIg9nQsob36t8EYJx3AqdPPqff45pbId8bmZKYl/iC0kIIIfYBH/28i62PBQGYe72bqsNl1fvhuOdJjfufi3QM7llqUZgXn0mrKYWRYOC7sVdN2kwsGqaU4vIpN7KraxtjvP3Xv1UK0PqG8/3rolm07jlG1oxjP/GH+LD76/mOADdUSpBWCCFyRVKhmY0bNzJu3MDF3seNG8fy5cs5++yz+f3vf8+OHTu47777cLnSP61FCBGh+lk4DCBsWSgNbHrqpm7t2roBX2d73L4psyVIm23ucWl8YNMoNxWfCyqOHd46X2g2sF/aRfBvHozxJsa8YZ6g2783RLNoL575OTwxWbRKwT8fg+MOAU2HogIoTSBTVwghxL5FxZR30rJrdvqoYMb8/ozuxNFKDB6mjPc76tgWbEe3JzYDq/fCYaUZWDTM0G3MKlrM5Lz9qcjrW37L54faWkCDwjyInVzm3xD9ZbhnZc+H6SN/NLd5rsuGISupCiFEzkgqSDtYgHaP/Px8nnrqKa666iruuecejjnmGN54441kLiuESETMw3+lFGFlYgHGANO+EtG71IHN7mDi1FkpO79IngVs6B5n1Bsa+QnU7FNdoBcrnF/oQq+yEio/sL7lE96vfxuIZNH2rkX7n2fgt/+E+x+Hm74C82ZESh4IIYQQg7F5NZylGlYIdEd2ZD6OJmcfragZo2hshbzuWVgOTWO6stFqKrRQOLFi9vRdOCwT5Q4ATEx0zcBG30DrqnUav/pT5Ae69pIwF50RDcwGNkQfQrv2y54g7Ye+aJB2oVsyxYUQIpekaJLzXi5is3H33XdTXV3NbbfdlolLCiEGYaowpmWiaXryqwfG2LDqvbjtSdNnY3c4BzhajIRdOnR2R1U1pZhtMqxyfSoIKA0tT6FXWglnKT266d89ry+deXVcFm0oHAnOQqTUQWE+eGQChhBCiCGY83UP069y4W+0MCRIO2yHzoWp42B7Lbi7u3B+08dVb5wHmpMxefOYOunqYZ/Xsiwa63bF7SutGJOKJu+VaZnouoFh9O31muHoa3vMyNjyK4LbIw+ydTc4J2XPZ+mDmEzag70SpBVCiFySkSDtHj/5yU/61K4VQqTPfc/Ac+9oBILw1fMVVaXQEKjj0nW30lp1LAWOQg50FHNm7xUhEtQ7k3bKLFk0LNusjwmqTrTAO4Qxh7VTRyu3Imm4QQ28Cs2jkppGes2sr1FoL2Vz+7o+WbR2G/zqu/DLv8Gc6XDsIYlfRwghxL4rS0qIjjqKSNmhPb+/tlArmzs3AOCxVyZ0zramesxwfIeztCL95Q7Wt75Ps7+JSnc1Y/opd1BVASccadLRBeOqorOLAhutnnphzqk6ej8B3pHQHLbYHIxm+B4mQVohhMgpGQ3SAlxzzTWZvqQQ+6yPPtV4/t1ID/vaMyM9zXp/LbWGk67S/WkCCkIKQsOf8t6br7OdHZvXxe2bNluCtNlmvR4dsc4cQilZ1QmBP3vQSiwcn/GjlVnoHoWW4FTHPSylce6UyxibX4nL7o57LxAE3YCffQvGVkiZAyGEEGIk+U0fJY4yWkOtuG2JLVLVO4sWMlPu4Lmd97O29V0A/n70233en1itOO80E02DMWXR/bH1aF3Ts6jUQUwWbYVNZ7Ij48N5IYQQaSR/1YXIYVY/iz8ErAAeZyld3ftT9fx945oPUL3qm8qiYdlnQ8w4Y7a59+B8+GUndGmoLoPQY05cX+1CS/LOYVomnaEuKr3llLiL4t6zLGhqgZJCKCsBr6ffUwghhBCDS/758z6puQ3qm6G1vXshLWC3ZyyhI/+DwwyxKxyGBGZgNdbtiNu22R0UFJcNcHTqNAV2A1BgL8Vhc/d7jGVFZvHELtMQ+DT6JNs9M3uCtB/4gj2vF7rtaJIuLoQQOUWCtELksGXXKK45U7FtN5QXR/YtKD6QM/Mm8pfuHrYjRYOYjZ98GLddWFJOaUVmFoQQQ9MO7DSinfm5Q8ikxaHApiCsYT8xkFSA1lIWuzt34DHyybN7KHQVYjcijwm27YI7H4TPng1FhVBcEPkSQgghROZ889caL6yI9BWe/lXkaX8bFps1C2wGFiQWpO21aFhJeRV6BqbKnD7hGra2f0qeIw99gMVyLStS2iG2ObGZtO5Z2TOlZ2XMomEHeaTUgRBC5BoJ0gqRw1wO8Loh3xPNpAXoisl4daYoSLtp3Udx2zUz58nT/SzzaUwiSJGlGEoI3XZkEGNuGGuTgTFrKFHdgb25+xVuX/ljDqw4jCtmfoEiZyQK6w/ADb+CDVvhgzXw+6XRhwpCCCHEcDSvDuOrNQl1KIpn2XDYpS8yHOF+ZmEFY95PdPDYO0ibiVIHALMLD2a8ew6Vef1n7VoWWCoSoN3z85ptinB9pINsFGvYKrPjM6SU4sOYIO2hUo9WCCFyjgRphdgXqPjFM3xEe+DOFF1i89peQdrpc1N0ZpEq64z4erR7G3KoEBDQ0Mot7JPNpBZgCVth7l/3VxSKd+qWc/GMK7EbkcK2j74YCdBCpMzBrGlgk7uTEEKIBHzyex+N74UBWPRzL46C7MmCHA2OmK/Ic0F7ZzSzNBhTO8KW4MP9xrpeQdoMLBoGYCqFoenoA0wF+smvbWzcqlFUAP+4PRIA9ceUOnBN1TOS8TsUm4MmrVbkP4AOLJZMWiGEyDkyDBZiH+SP6Ww7VPKptB1tLdTv2ha3b9IMCdJmmzUxf/Fn7aUerQoDfg08Ct2b/EJhGhqnTzqPBzbczfTiWRwy9rCe9846DuZNh7YumDUZivKTu5YQQoh9l4rJBNWyp5ToqHHNmbCrXrGjlp6nuW81vgklMwFQVpBEHvH3CdJmKJPWxETXDGz0/2Fo74RAUMPnV9i6Y7GuKQaVX3cQ3KZwTcueD5FT1/hciYd3u4IYmkahLXvaJoQQIjUkSCtEDnvmLfhwQ6QDetHxYDNg6QffZMXYY6F0AZCaTNrN6z7us69GgrRZJQRsiUkE2X+AygXWDh2qLDSfBu7uAG0KPiSGbrB/2WEcWHE4Ra48bHr09mO3QXERTKqGmurkryWEEGLfpWIeQuoSw0qJ3cF6IBKktcVGwYehT03aDKxbsL1zPbVdOyh2VlKZV9rvMZPGKwzDoqggunCYUaDhXWAjbyHYSrMjixZgrN3gy2V5+C3FJId8uIUQIhclHKS96qqrUtIATdO47bbbKCtL/+qeQuxrHnpJ46k3I2kQ5y+JdKo/anmflqpDe45JxcJhvUsdFJaUU1xWmfyJRcrYgTvaFe8ZilqbxlSLPvUOzLUGwb+60WeFsZ/px3ArNFdqru8PBTBVmAp3FeML+05xNM34enBCCCFEIlTMQ0jNyI5aoqON6v7a89vrtAI97zkTWEE0GPDT1twQt68sA5m0b9Y9wfLaRwC45aAHKXAV9Tnm/11q0tQCFSXx+5UJmp2kFkxNh4CKZNS6pcMkhBA5KeHbzjPPPJOyRYGWLl2akvMIIeKZvRZ/UErRGKhDGdHUyFRk0vZZNEyyaLOSDZhtwjGWwtbrz7dVrxG81w1Kw1plxyxRGBf7k75m0Axg1x20BdoocOZT7C7qd3VlK7JoNIYkhgghhEhCbJAWiWOlRKcVXazKkUDUsrl+d599mSh30BSo7Xld6R6gBm73ug29y84qEzC6v7JIUCnydR2XLM4rhBA5KeEg7fbt21PZDiFEGnz9QsWpixV1TWCzQ3uolZAKgR5Nj0xHJq3Uo81OQSJ/9HuXlzU3GoQecEVq0AJapYn9bD/9xFKH7a7Vd7C9Ywtn11zGwfmLyXfkxV/bgn/8N7JQ2IGzYfL45K8phBBi3xWfSTty7RitrvihxprN4HHBX2+MdBL9sUHavS472ldD7Y4++zJR7mBPkDbPVoS7V/9jD8vqG6RVlkJDodt0ND17gqFKKUJK4dDAkT3NEkIIkUJZNoFDCJFKs2ugJA921EYyaRv89QDogXo8/mbsjiI8SQZpO9tbqdu5NW5fzXQJ0majEOAF9qwFrBSEX3IQfiomn9pj4fx8F7o3+ettbtvAi9ufQqH446qfcVzN031mYLS0wR//FXl90hFw8pHJX1cIIcS+S2rSJqeuGWqbNQq90d+jj3DPaxsaMLzOY+9Fw7z5hbg9/QdNU0UpRVMgksFb7KzsdxYPgKUiAdo9QVrLr0BX3Vm02RMJfaTVx1udQaY4DU4vcDPVlT1tE0IIkToSpBUix+2pKwbQFIjUA8v/cBknjrmExROuIg/61CYdjs29Sh0A1Mycl/gJRcq1apFBiEkki3ZPkNZ83d43QHu1D2Ns8unVSin+9snvUN2fvktnXkORs6jPcQ3N0deV/a/pIYQQQgyZJZm0SamugE6fwu2IZJgC+GPSkxMZPI7EomFd4TaCVqRsU5mrqt9j1m3UuPvfBm4XnHmiyQlHKJofDtHyRAjnBJ2yyx3kH9Z7/tHIeKTVx8udQQB8lmJxXioKlgkhhMg2EqQVYh+hAQ2Bup7tAkcJ/awdNWyb1n4cty2LhmWfF+zwkFOn3FScGlJcEobwChuhx6IdfGN+CMelPvSC1FzzndrXWN30IQAT86dw/vSL+z2uuhJuux5qG+AgScAWQgiRpLhyB1k0VX20+PN3FdtrYWd3l9Fv+qD9Uxy1r+B2lDPONWPY52zsVe4g0/VoS51j+j2msVlj07ZICu0xiy1A4d9ooQLgX29lzUi5xbR4rTtAC3BKYYpWdRVCCJF1suTWI4RIh9WbYPMuaG6FsmJoDNT3vFfgSE3a4qa1H8Zty6Jh2eej7lXC6g2NcEgRetZB+LlogFbfL4zjWh96iu4IITPIP9b8sWf78/O+gcfu6fdYrwf23y9Sm3bSAGt6CCGEEEMlNWlTQEVmYWkatAZbcO16Gteup5lbvIQjp9847Cf8TXW74rZLM1KPNrpYWZmr/yCtaYLDrgib4N4T97RUZME5C9wzs+MD9Gy7v6fgRKVNZ4lXsmiFECJXSZBWiBy27E6Nt1dr2G2KZ/9X0RATpC20l6Ukk1YWDctuHcCGPWXYFJz8kJPwa46e9/UpYZxXd6UsQAvwxJaHqfVFBmSLKg/n6Oolgx5vmpGFwwxZhVsIIUSSlBUt2SNB2uS1hKJ1iVy2/IT6jb0zacsq0/9UtikYzaQtd1f3e8zhiyz2n2OhAVVlkX1jv+ciVGdhdYGtcOQ7JpZS3N3U1bN9RoELQx/5dgkhhEgP+QsvRA4zrcj/39OXawo0oNAIF0yn011JkzbcpR/iyaJh2e9jGyhNQzfh6/c7yI8J0BoHhHB+rQs9hWt3NPjqeHDDPyLn12x8ad712AaIADe1RAK0/iAYRuRLCCGESIZk0iZP9fwPtIVaeva7bcOviaSUoqGud03a/jNbU6k5ptxBhXsv19Oi9XcxwfBouKdnx4fniTY/awKRPFoNuLYsvQuuCSGEGFmSSStEDrvoeMX+0xSdvkjnszFQh7J5aD34j/yk+5g/tVu4Ezx/f4uGSSZtdvmgu9TB0e/YWLI8uviF7cgg9gv9KV/5+m+f/I6AGVmo48zJn2G/0lkDHvube2B3A3z9ikhtWo+UWBNCCJEkCdIm539+q1HbBPku+NalitZgS897HnvBsDNpO9paCPp9cftKM5BJ2xIze6zc1X8mLYBSoMcEaVUYNENDs418PeOwUvy6oaNn+8wCFwd6HIN8hxBCiNFOgrRC5LDzlhC3+ENDsB70+DpWyaxZu3ndqrhtWTQsu1jAh90D1JcWhfncizbytxvYjglgvyBAqmfLvVf3Jm/XLgeg3FXJ/5v7VTSt/0FOMASvroBOHyy7A166OyaLRQghhEhQT5BWY8B7kBjY8+9AQ6vGxKpIKm1rqJlQ8f5YjiJqC6fSqMFwQqxNvbJoITMLhzUHI0Fah+4i3z54BrDW8z+RIK3uBC2ZDnKKPNzqY1Mw8oE2gB+OKRzZBgkhhEi7pIboCxcu5E9/+lPcvqeffppvfOMb/R5/0003YbNJXFiIjFLRkgaNgXqUEU1XNJRK6knN1g2r47YnTpslA6IsskWHtj0rW2sK17l+HBf60hKgDZh+/rL6jp7tL86/nhJ3yYDHb98Nju5kkEXzwCVrYAghhEiBhcu8zL/Bw35fcEmfJAHh7iD3nu5DW6gF36QL6Zj3A56rWsDqYXYcG2vjg7SarlNcmv4H+i3BSIZCkaMCw+i/0StXaTz4uMFDTxrUN0b2qbACA7QRHrIGLMUd9dEs2guK3Mx1Z0HkWAghRFoldftZuXIlu3fvjtv35ptvcvvtt/PLX/6y3+9RKpkKmEKIRAUsH53hDpSrvGdfsl29rRs+idueMGXgqe0igxSgwQcxf+FnmFBYY6LNMgf8tmQ89Om91Psi94NFlYdz4sRTBz1+8ni4+zZYuxFmTU1Lk4QQQuyDKg6x42+w8DdaI92UUem1Pys2bVc0tkS2W4MtKGNyz/vDnWzfe9GwkrIqjDQn7YStEO3dC56VOCsGDNav/VTn2VciU45OmhSi6c0wzkka3v1taPrIBvj/3dLFznDkM2zXYFnV8OsBCyGEGH0krVWIHBYIQSgMlgWNgQYAlB7NpHUk8cwkFAywa+uncfsmTN0v8ROK5CkwNhm4nnLiPyHAytnRAeoBukJLUxmz7R1beGTjAwA4DRdfW/Ad7MbgjwD8QQgGYfECmJD+WY9CCCGEGAKPC/Lc4IuUl6c11IIyPD3vu4fZdxyJRcNagw09r4udFQMeFwpHX9vXhGl6LQRA+eeg7JKRLWgcUuDWNHxKcVmxh+kuyaIVQoh9gQRphchhJ1+nsXGHRmmh4qZvdxemNaKRumRidjs2r8c0w3H7JkyVTNqRZFtr4P1bZCDl+reLXTOjC3UcbkvPLAZLWfz549sxVeSzcNH0q5hWPH3A483uuHFzC5QUQVkx2OVOJIQQIsWk0EFilOqZkANEatIqWzRI6xpmd6KpblfcdkYWDQtGFw0rcVYNeNzpx5kcMNdC08D5H5M9vVrPgpFfce7yEg8Heuw81uZnaaVk0QohxL4ixVUJhRDZRHUHxHQNGrpXuVWGu+f9ZDJpt34aX+rA7nBSVV2T+AlFciwITzCxCrv/o/s1pm2PDLEqUExN02j1ma2P8EnzhwBMyKvhilnXDjitcMNWuOgb8Pp74PFAcQEU5qenXUIIIfZhUl0tZRaWHIzNHl2wariZtL3LHZRWpH/6TGyQtmyQIG1hAYytVEwqswhvi/SfdA+4po/8ELnVVFTbDX4yppAJTnmaLYQQ+wr5iy9EDjtkLlSVKpx2GOMex+ljz2eFq5SPut8fbjZErN71aKsnz0h7jTHRDwUEQQtqKLvCf3wAvUUncGyQqwsVqwCvBulYOyVg+vn3+rsB0DWdbx2wlDyHt99j2zrgO7+AHbVww6/g98tg7rTUt0kIIYRQEqVN2O//A22dkO+CM46ES2uu4WdmtGSBe5Dv7U/vhcNKK9MfpO0Itfa8LnMPHKSFSOYwm8yewL57PwPdPrJB2rBSdFoW4+wGJbaRDxgLIYTIHImoCJHDbvmCYstOqG2EqsK5VE6t5q+hxp4grTOJc2/dsDpue8IUqUebKfpuHb1JIzzdRPNroCuUV4FTETwmBN2z9CwFC4GxacqidRouvnPALfxl9e0sLF/EojGLBzzW0GHS2EiQdu50OHoRGCM/m1AIIUQOMQOKFy9pA8BRqLHo1rwRbtHoYlnws39GgoILpinOOFJhKoU/ph8xnExaMxymubE2bl8mMmmPGnMOcwuPwq/amVo0Y9BjFcDWaA1/95yR65y0mBZOTaPLsijQdYptOvZ0PGUXQgiRtZIO0t5zzz28+eabPdsbNmwA4JRTTulz7J73hBAjw1QmXTGd6+FOWdtDKdU3SCuLhqWXBbbVNhzv2LGtM8AGnVf4MCeZ4ALlVj3BWYgEaENAMckF4wcTNkN4bYX88OBfMbZgDLo2cLaHwwFfvwIW7AeXnQn5/SfcCiGEEAlTYfDtigTcrJAEt4bLjMYq0btv6e0qfv2B4WTSNjfWoiwrbl8mMmkBdM1GuXMcHtvAgfo1GzR27ob91lrsKejgnDxymau31bbzcmeAy4o9XF3iodiQLFohhNjXJB2k3bBhQ7/B16eeeqrf4weqVSiESD1FZBrXnn92ljLxadHIrDPBIG1T3S4621vj9k2YIouGpZwCY6OBfZUN2wYDoy4mChsC19NOOr7R2e+IKUBkYTiXFqlJnA7NvlYKnQWUekrJdwxcXNa0oKEZSgrh8xdBeXF62iOEEGLfZpnRjs0gzw3FAAwd7l5qsbshsq6BqUzqw+1xI0bXMM7Xu9QBZGbhMAATE13TMfSBPwiPP2fw3sc6N6uuniCta+rIfHDWB0I81OrDAn5Z38EMp4393Mks8SuEEGI0SipIu2nTplS1QwiRZrt8O+gM+jk40Mk0zUmtrlNq7f37+tN70TCQTNpUs62y4XrGgVHb/7S78OQwnVf6+gRoLQUvKo1JKMZqw68dtzdhK8S9a//CsdWn4dQ9FDoLKHH3H3X9aB1UlgIaeNxQUgRlRSlukBBCCNHNnq9x0tOF+Ootgq1Sl3a4dB0Wz4Vtu6C5FbZ1buaSlZ+HQ/8OgEOpYa063XvRMKfbgze/cICjU0tZFjbdQNcHLl8QNiM/Uzndi4Z5wVY5MglFP6/rYE+3fJrD4MoSz4i0QwghxMhKKkg7ceLEYX9POBze+0FCiJS44EaN5jYYUworp59Pc7CR8a4ali64k90mkY52An3R3qUOyqqq8eQVpKTN+7wAuB914ni3b/aE5bUILAkSPCSEKlH9/rf7FPi7igyhapTid7qV0H/jgdy/7q88tvlBXt7xLN/Y//vMrZzVb5mDzTvgm7eB0wFLvwSHLICKkvQsYCaEEEJAZMaezQN2j4aSIUdCVExsuzXUDEb0ce9wZ2D1WTSsfEzaZ1UGrQB3rf0BbqOQeaWHckr+hQMeAv5V/gABAABJREFUe/IxJgeXW+gvR7YdE3T0QTJv0+WdriAvdAR6tm+qKsQxAu0QYiA+n4/a2lra2tqwrASzfITIArqu43K5KCoqoqysbET+5u9NxhYOW716NX/5y1/45z//ye7duzN1WSH2aWs2Q3uXhlIWLZOaAHDbvD1rHifaTe6dSTthqpQ6SJoVyZ51P+5Eb4neLKx8i+DiEKGZYczJ5l7nGb6vov9V8wBHCu87/rCPN3e/AkQGQZMKJuGy9V/x9g/3Q3tn5Ov5N+DMY2WhMCGEEGI02FMqy2V4ONw5jh3vfZ8pJUuYXHbUsM7TWNcrSJuBUgetwQbWtL4LgNfuAQYO0s6bpWjZGY3mOydlvqOilOJnde092we57XymaDhFJYRIL8uy2LhxI8FgEJDylWJ0M02Tzs5OOjs7aW9vp6amJusCtWkN0nZ0dHD//ffzl7/8hbfffhulFA6H1NYRIlNKCkDXFR6XxenjzmNH5w6qnNVYROrVJhyk3dA7SCulDpISBM89buzr4v8kB44M4jvHP6wCcLFB2kO01E71dNncfPeAW7lv3V84uOpQZpfNG/DY666M1KG12+DW68FhT2lThBBCiP513/okjDB8gRC8vbr7/q3DvGmzWDb7Nja27aQODc1iWL/YvkHa9C8a1hZs7Hld7Kzc6/H6tmhWoHNK5gfqz7YHeN8X6tn+yZjCrAsYiH1bbW0twWAQr9fL5MmTsdkylucnRMpZlkVHRwfbtm2jra2NhoYGKioqRrpZcdLyL2z58uXcdddd/Pvf/6arqwulFPvvvz+f/exnufjii9NxSSFEP174rWLLTmhq0ckv/B7bW3fQGfJFFhSDYdUV28Pv66J2e3w96glTJEibFBtoMdMyrWKLrgt9hOebwzpNrYIdMaOnw1IcpO0KdmHXnHz7gGWMyasa8El6lx9ME26/AcqKoWjgNcWEEEKIlFNSjjYhLe1w2bJI73DJAYp50xSWpbCUQjOMYQe++5Q7yECQdkrBPH648D80+eoZX1C91+P1LdG+lmdeZjNpQ0rx8/poFu1J+U6OK5AsWpFdWlsji0WPGzdOArRi1NN1nYKCAsaPH8+nn35KS0tL7gZpa2tr+fvf/85dd93F+vXrUUpRVVVFZ2cnl19+OX/7299SdSkhRAKUMrGw+GOBl2abhqbgjIBiyjAHMts3rUX1Gv1MnDY7hS3NTVq7hm2tgRbSCC4OgQWEQDMBU8McY2FsVfhPChA4NpjQil/vxWTRTkQxPkWJGGErhFKKlkAbFZ5SyrylOGzxsyI6u8C0IpmzLW1QXgJVZVCQl5o2CCGEEHtjhRT+eotAi4UVBEfRSLdodAnHPBvWu7sUJhZhLDS0YT/c771wWGlF+ssdAOjYqPRWU+IafODdsE3hqY/0afV8cE7ObP71P5u72BSM/NIN4JYxmVlUTYjhCIUimd5ud6qXIxZi5OTlRQapfr9/hFvSV1JBWsuyePzxx/nLX/7CE088QTgcxuVyccEFF3D55ZdzwgknYLfbpcSBECMkNpZqWhamslhlt1FrRDqhxwZVz7TAoepd6sDlyaOsau+ZCvu6/Nu8aGENs8IkND8EpgY2hXIAuiJ4cIjA4UGsmsSL8ccGaRelKIv27drXuGfNn7hi5peZVTybEncJXrs37pj2Trjulkj27A2fh0njIouESYBWCCFEJnVus3jpsjYACmcaLLpVbkTDkeeB6y60aG6DsWVgKhNLmZgWwy4s7+vqoKujLW5fScWYFLZ2YJZlYdft6Nrgbf7zHwzOwmA8Jt6ZRkbLDDSHLX5T39GzfXmJhwUeGTOL7GOaJpqmSRkOkVN0XUfTtKxcCC+pIG11dTW1tbUAHHbYYVx++eVccMEFFBTIKu9CZJMOsw0r5MOyLPwxU9TdCcTxtm9cE7c9fvIMuWkPZE+2bFDrqeGmN+soO+BS4OwO0hpglgyvtEFvLQrWxWwfkYIg7db2Tfz2g9vwmV38cuVSfnv0PyhxF/c57pY/waoNkdd/eRD+cBMUyW1ACCFEhllm9N6nSddk2Aq98P/Ohm27oaMTvvv+l3kxbzyd40+n1GbjkBCcH9r7eQCaetWjBSjLwMJhAJZSGJqObS9B2h2awc1aAZPKTO78f+FBj021u5s7abMin9cCXePHVdJxEkIIkWSQdvfu3ei6zje/+U2++93vUlRUlKJmCSGSZVlw4x80unywTr3KqvJv4NI9dC15tOeYRKpe7di8Pm67umZGki0dxRQQAKNWx9hmYOww8J/mR9miZQyUXaE8CitfYVWHCc0Oo/IVOEisKPAAVigN1R0JLkcxK8kZe62BZm5b8T18ZhcAx1SfxNzyef3Wof3cefDROjB0uPHzUCzjDCGEECNAxSTESJA2cUqBpkFLqJmgfSams5Q6oDO8Z1WDvetdjxaguLwqtQ3tx382/YbOUCcT8qbymYIvDHrsYQdaNNRBZYXCMS6zH5gvlOWhA3c1dfGtinzGOKTWpxBCiCRDBJdeeikul4uf//znjBkzhvPPP59HHnmEcDgzTyLfeecdTjnlFIqLi/F6vSxatIh777034fOFQiEWLFiApmnMnDkzhS0VIvNMC/71nMajr2ns2jIJAJ/yE4oZtSSSSds7SDuuZnoyzRx1tEYNzz9c5N/qpeD7eRQuyyfv917cj7lwvG/H83cPWgCUHVS+QhVGvtp/0kHnF30EjwpFouMpHgu8E1Pq4FBNMcCaXkMSNIP87L2l1PsiMyVmlyzgOwfdhO3/s3ff8VGVWQPHf/dOTe8FEiD0KkWQoqIIqGAXKwoK9r6Wta0FUKyv7qrYdi2gYu+9YAFkVwRBRBCQkgAJCSG9Tr3P+8fAJJNMGqR7vp8POnPnuXeehDB57rnnnqPXPoFwuSHEBgvuhtcfg6F/4Zi9EEKItqWq3ZTSQBKlqINSVeWyilwFKHOo/7WmVKTMqxGkjYpNwGpr+aZYa/K/Y23BElbnfYOu1/9DcP7pXqaf6Oa8071olhafWgClYFp0CN/1iueWBCnLIUR7pmkas2bNautpiL+IQwoTvPrqq2RnZ/Pss89y2GGH8f7773PmmWeSnJzMddddx8qVK5trnrUsXbqUo48+mh9//JGzzz6bq6++mry8PC688EIefPDBgzrm/fffz7Zt25p5pkK0DW+1bBIPvoLYFnPgreqBlUUbVlpcSHHBvoBtKWl9D2Z67Z8HzH+asH9mI+R1O6EvhRD2dCgRj4dh2WhBL9LRPLUjoeZdJszbzb7gbKTyndG0cHJEiYLqRSiOPYRSB4YyeO73/+PPoj8A6BKawoNHPUGEtfYJhFKQX+QrbTBsAAzppD8KQgghOoaAIK3euk2gOgOvFyqd4Pb4fscXuQpQpqogrV01fn1Rs2lYa9SjdXkdVHhKAYixNdyt2/Ao0EG3aq3+81LgNYjWdfrZLYSYJO1b/DV5PJCeAZu2+P7fSrl+rWrdunXMnTu3VeNMS5cuRdM0NE3jgw8+qPP1559/vtZrTqeTZ555hmOOOYbY2FgsFgtdunTh9NNP57333qvVQFw0v0MOHURERHDllVdy5ZVXsmHDBl588UVef/11nn32WZ577jk0TWPLli3s2rWL7t27N8ec8Xg8XHbZZWiaxvLlyxkxYgQAc+bMYdy4ccyZM4dzzjmHvn0bHzFYu3YtDz30EP/85z+54YYbmmWeQrQlqxl+eNYgay9cs8Z34SLMnhQwxtbEY+6pkUULkNpJg7T2z23Yfqq/gYMyK1SEwog28Hb34knx/d/oYfhr0LaGSmAE8BuKKOCwgzyOUopFm57lv9k/ABBmDufBI5+ka3jtGnIOF6B8fUSiI6TEgRBCiLanpCbtIdmYDqfd6vvGnXmsh7LoUpS5Kn+2KXdgFeRmBzyPS+zaLHOsT6GrKpGgMUFaPKCZNHRL6wZoS70GGhBt1okyycUE8ddTUgIr/ger1kB5edX2sDAYPRKOPhI6S5ujdevWMW/ePMaOHUufPn1a/f3vuecezjjjjEb1kMnOzuakk05i3bp1HHPMMdxxxx3Ex8ezd+9evvjiC8455xyeeeYZrrnmmlaY+V9Xsy5fhgwZwhNPPMGePXt46623OP7449E0jR9//JFevXpx/PHH8+abbx7y+3z//fds376dCy64wB+gBV/A+J577sHj8bBw4cJGH8/lcjFr1izGjh3Lddddd8jzE6I90HVISYDkWEWJeQsAodaqBatVqSZ/AGRm/BnwPCwiiqi4RiyCOxo3eLsHb+SldIW7n4eSO8sofqqUkofKKLu9gsrpTtzHuDHSWjdAC5CkweW6wcOawR26wcH2cXtn6yt8tfMjACy6hXvGPMKQhGFBx15/P1x7Hyxf5esGfSjlFYQQQojmIOUODk31u7C8VALUyKRt/LHycwMzaeNaoWlYkSvX/zjWllTPSHC+4cTzvRstz0CZWiczbGFBOfNzSsh0eYg16SSY9aC1/oXozPZkwxPPwA/LAwO04Hv+w3J48hnfOHFoRo4cyR9//MHixYsbHKuU4uyzz2bdunW88MILLFu2jNtuu41LLrmEO++8kx9//JElS5YQFxfXCjP/a2uRa8wWi4Vzzz2Xr776ioyMDObOnUv37t357rvvmDFjxiEff+nSpQCccMIJtV47sG3ZsmWNPt7cuXPZunUrL730kvyiFJ1OsbsQj/K14g2xJfi3N2WhfUCterRpfTv0vxk9RyfkHTt4AQ/gAK1UQ3NquAd48PTy4DjJQdm15ZTeVkbJnFKK/1lK+c0VvmzZdpSl4wCiNBh4kH8dn6W/x/vbfb/AdU3n9pH3M7Hb8UHHZmTBhq3wx3b4dqUvSCuEEEK0NQnSHpqIUJg0SjFmkCIyphggoCZtUyrK1mwcFpfU8pm0Rc6qTNp4W93lFYxCA+9/PXi/cOP6j5P/LGz5H5a9bi9P7ivjlcIKZu0uJN3lIfRgr6oL0UGVlMBLi6C0tIFxpb5xJSWtMasqO3fu5MwzzyQiIoKYmBimT5/O3r17a40zDIP58+dz1FFHkZCQgM1mo1+/fsybNw+32+0fN3fuXGbPng3A1KlT/SUI5s6dC8DmzZu56qqrGDBgAGFhYURERHDssceyZMmSWu9ZXFzM5s2bKS4ubvTXM2vWLPr06cPcuXMD5hXMxx9/zP/+9z9mzJjBZZddFnTM5MmTOe+88xr9/uLgtPhvhtTUVO6991527NjBN9980yx/qVu3+gJFwcoZxMTEEB8f7x/TkNWrV/Poo48yb948+vX7azVAEp2fUpBfbcFqs1Vd+bIdTJA2PTCTNiWt4/6bsfxmJnxBKNa1FizrzWgODXRQYb5asipOUXZbBY7TXHgO8+LtZWB0UU07Q2klhvLFmG0c3PQ+S3+PVzdX1ST627B/cGrvM+sMwJdXwqD9d+ucdbyv5IEQQgjR1oyAmrRtN4+Oqk8qLLhZMe8yRd+BGQAoU9PLHRiGQX6tcgctX5O2sFombXxIcp3jjD+rflA2KTMVjpZPOHg4t5Ryo+obeERo/SW1hOiMVvzPF4BtjJJSWPFTy86nusLCQsaPH8+XX37JFVdcwfz58ykqKmLq1Km1xrpcLv71r38xbNgw7rnnHh5//HEGDBjA3LlzueKKK/zjpk2b5n9+66238tprr/Haa68xbdo0wJd8uGrVKs4991yeeOIJ7rjjDnbt2sWUKVP44YcfAt7zww8/ZODAgXz44YeN/prMZjPz5s0jPT2dF154od6xB2rXXnrppY0+vmgZLdzOJtDkyZOZPHnyIR/nwNWDqKiooK9HRkaSmZnZ4HGcTiezZs1ixIgR3HLLLYc0p3HjxgXdvmHDBoYMGXJIxxbiYFQ64f0f4NdsHQpGQtwabJZY/+tNrUcLwTNpOyQDbMusaF7foty8yYx7pAdlVWABOljQ0YHv7zNEa3rZgfe3LebtrYv8z68YfCPn9Z+BXs/Z7aDe8OCNUFIOIwYdzIyFEELI2rEFVAuCSSbtwVH7/1PsLvA9Nze93EFJYR5eT2DWVlxiy5c7KHblVb1fPZm0psPMGBfAqo9hh8VCQnzLzuvncieflTj8z+ckR5JokR9Q8dfi8fhq0DbFql/ghElgboWo1SOPPMLu3bv54IMPOPPMMwG45pprOOecc/j1118DxtpsNjIzMwkJqbqIdd111zF79mxeffVV5s+fT0pKCkOHDmXcuHH85z//YeLEiUyZMiXgOBdddBFXXXVVwLYrr7ySQYMG8fDDD3Pccccd8td1/vnn8/DDDzN//nxmz54dMOfqNm7cCMCwYcFL3YnW85e+xnzPPfewdetWXn75ZUySCiY6mZJyuPvfOu9/0h995zkAxOp2BngVqV5FktHAAWooLS6kuGBfwLaUnh00k1aHslkVuAe78XTzUnmOAxW5P0u2A30UlCp4wKvzrdJwKwj+Kzc4pRRvbHmpRoD2Ji4ZchUmvfY34UAjT4cLcvN9i6UBvSAh5tC+BiGEEKK5BGbSdtxyTO1BiacQqJFJ28h9a5Y6gFYqd1CtcVi8ve5MWi1UI2yYmfHzzEybqzHr4iYuipvArRTz9lalDg63W7gmLqzF3k+I9mp3Zu0atA0pL4fdWQ2Paw4ff/wxvXr18gdoATRN4+9//3utsZqm+YOdHo+HwsJC8vLymDRpEoZhsGZN46LRoaFVF8EqKirIz88HYPTo0axevTpg7KxZs1BKMWvWrCZ9Xbquc//995Odnc2CBQvqHFeyv7ZEZGfp2NaBHfQ1iVNOOYV58+YxcuTIJu9bWVnJM888Q1hYGFdffXWT9z+QQVtXPY6SkpI6s2wPWLt2Lf/85z+55557OOywg+2FXuWnn4Ln4teVJSFES6ve/AHNd9YyzKu4uEKRo8AJTWpwtSejdgmR1I6aSVvp6+ZbcYEDZVMQ3tYTOjirlcYWNLYojaUo3lSNa1rm9rp4fsM/+XHPtwBo6Fw39DYuHDirVoDW4YJPv4f3vobLz/Vl0UZHQlQ4JErdeCGEOGiydmx+UpP20Kn9f0rcBShNB1NVIaXGlqCv2TTMbLESGdPC6apAscsX4Ag1RRBiaWC2XoWyamiWlm1+uriggq1OD+Bboj2VGoVZatGKvyCH8+D2czoaHtMc0tPTmThxYq3tAwcODDp+8eLFPP744/z+++94vYENp4uKihr1niUlJdx99928++675OTkBLzWnH1fTj/9dMaMGcMjjzxSK3P3gAPB2dLSUqKjo5vtvUXTHfRviN27dzN69GgmTZrEokWL/JH3+vzyyy/ceOON9OjRg3vvvZf4+IP7ZX2gFm2wurMHrmIEq1db3fr16/F6vcydO9dfwPnAH4AtW7agaZr8gIoOKzoc/nWjweHHv4/R4x0AYixx/sV3U//x1yx1EBoeSVRcYrPMtVU5QTM0f+3ZjhqgBfhJVf3yPlJTNHbN/1veL/4ArUkzccuIe5gxaHbQDFoU/Ocd2JUNcxbAxm2QkggpSWC1NMdXIYQQQjQPJTVpD8lPG+DM2zWufVxj8+augAnb7o8ZXlHCELcitJHlDmpm0sYmdkFvhcDkgXIHUbZ49GBrmv2UV/kWwmYNTdeakrPQJLluL0/mlfmfz4gJZXx4O2xuIEQrsB9MrT3A1g7/ybz77rvMnDmTsLAwnnvuOT7//HOWLFnCI488AvjqcjfG9OnTeeaZZzjnnHN46623+Prrr1myZAkTJ05EqUZ+4DbSAw88QEFBAY8//njQ1wcN8tWwW7duXbO+r2i6g86kXbduHQsXLuS+++7jkksu4bLLLmPAgAEcfvjhJCUlERMTQ2VlJQUFBWzdupVffvmF4uJidF3n3HPP5YEHHiAtLe2g3vvYY4/loYce4ptvvuH8888PeO2bb77xj6lPv3796iyK/NJLLxEVFcXZZ58dkIIuREcSaoep4+C9sqWw7zcAYi3x/iBtU2VmBDYNS+3Zr1mv8LUky69mVKjC09OL5tofoA1XrVyVu3nlK9hS7bRistb4v9XBMcOZlHoqP+V8z91HPMTkHlMAjfRM2JEJk8aCxwsVlb4mYRPHwqc/wLFH+P5Ey10wQggh2iHlrV6TtmOsUdqTknLYutv3fUvrAVq4m/DNT3DpiKPxWhX2Rn5L26JpmMdwUe7x3WUZbWkgEcgNmDUw+QK0LfWT8mi1ZmHRJo1Hu9R/p6cQnVm3VAgLa1rJg7Aw6Nby5awB6NmzJ1u2bKm1fdOmTbW2vfHGG9jtdr799lvs9qoo8o4dO2qNret8uaioiC+//JKLL76Yp556KuC1e++9t6nTb9CkSZOYOHEi//rXv4LeST5t2jQWL17Myy+/zIQJE5r9/UXjHXSIQtM0LrnkEmbNmsXnn3/OokWLWLZsGYsXL641Vtd1hg4dyhlnnMFll11G166HVpNo0qRJ9OrVizfeeIMbbriB4cOHA77U7Pvvvx+z2RxQqyMvL4+8vDzi4+P92btHHnkkRx55ZNDjv/TSSyQnJ/Piiy8e0jyFaA8K9tfnMmkmoqxRuBsYX5es9MAgbdcOUOpAK9Owf2rD+psFI8Sg/PJKjGSjwwdoAVZWy6LtiiL4jTg+SikUBho6Jc5SKt2VzBpwJbMGXs6AeN+et/4frFjjy47t3Q0sFgi1QVw0XDMdbrzIV4NW7tATQgjRXkX1NdP/MjuuUkVEmtQ7aCqLCeKjFW43ODVf4zCTZiLUFE5ZA/tWl783sNxB6zQNy/c/jrYl1DnO2GtAKOQU67z2qglNh8kTFWee0rxZa6srXHxcrVnYvUmRJFvlZ1L8dZnNMHok/LC88fuMHtU6TcMATjvtNB599FE+/PBDf11apRSPPfZYrbEmkwld1wPKHDgcjqA1X8PDfbdtFhYW1joG1M66/fHHH1m5cmWt4xQXF5OdnU2XLl0aLO1ZlwcffJCxY8fy8MMP13rt9NNPZ9y4cSxevJiJEycGrX373XffkZeXx3nnnXdQ7y8a55B/5HVd59RTT+XUU08FfFcaMjMzyc/PJyQkhISEBAYPHnzQP0jBmM1mXnzxRU488UTGjx/P9OnTiYyM5IMPPiA9PZ358+fTr19VQ6Onn36aefPmMWfOHObOndts8xCivVMK8p2+IG2EOZo9ZhO5OpQaEN3EO/1rljtITWvnTcMqIOzfIZj2+X4B6pU61l8sVE53QCe4Tb96qYNj6il1UOws5IWNT9I1LJXjU8+goMDOH7/35YqzLYSYw6l0gNMFXfafz7jc8NtmOGMyhIVCROjB354khBBCtKaIXiZCU+xU7jNQnraeTcczcRR8/7RidzZcvuZjqIQwUwSapjcp2zQ/N7DcQWs0DSt2VwVpY2zBy3GpUoXjvkoIBXNPM+v/sAIwaIA36PiDZSjFfTlVpQCH2i1cHy/NwoQ4+khY8yuUlDY8NjICjm7FEu233XYbb7zxBtOnT+faa6+lV69efP7552RnZ9cae8YZZ/D+++8zefJkZs6cSWlpKa+88oq/mVh1o0aNQtd1Hn30USoqKggLC2PIkCEMGTKEiRMnsnjxYsLDwxk+fDibNm3ipZdeYvDgwWzYsCHgOB9++CGzZ89m4cKFTW4edsCYMWM47bTT+OSTT2q9pus677//PieddBKzZ8/mlVde4aSTTiI+Pp7c3Fy++uorli5dyrPPPntQ7y0a75CDtGvXrmXRokXs27ePtLQ0zj//fI4//vjmmFu9jjvuOFasWMGcOXN45513cLlcDB48mPvvv58LL7ywxd9fiPbO4YI/d0F+XiRYYokMieYjm5nPLL5l9hSn4kJX47IGykqKKC7YF7AtpWc7DtJ6IeyNqgCt0hXOCS4cZzo7RYA2S8GuaqdLx9dR6sBQXu5ZeSM5FVloaOxaMYPff+mHUhonjIKYaLBZwGaFiWMgvwgmHAEnT4CuiS3bSEMIIYRoCc1cxu8vq9jty6QNM0Wg6aamBWn31gzStkYmbZ7/caw1eJDWu31/MLYCdEfVD0pzZ+rpmsatieHMzSkl0+3lqRRpFiYEQGQkXDoLXlpUf6A2MsI3LrIVS6zFxcWxfPlybrzxRv79739jsViYMmUKCxcuJDk5OWDsjBkzKCwsZMGCBdx888106dKF2bNnc+SRR9aKhfXo0YMXXnjB37TL4/EwZ84chgwZwhtvvMEtt9zCu+++y6JFixg2bBgffPABr732Wq0gbXOZP38+n332WdC6uV26dGHlypW8+OKLvPXWWzz44IOUlZURHx/PmDFj+PDDDzn99NNbZF6iiqYOoSLxzz//zLHHHovb7fYXNjaZTPzf//0fN954Y3PNsUM70KG3rg6+LcXwKBx5Bp4yhTVKFgV/RX+kw0k3+/7ujT4vMnjcd5gPf5Rv9wdpT3cYnN3I2gdb1q9m/nVnB2x76oNVxMQnNeucm4v9Yxu2n3zZEcqkKL+iAs+w5s2SaEvvGRqfKN/fbW8U/zEHL07vNTx8kf4Rr/35PDG2OMYUv8q3X/uC63de4cuWtVt9mbJ2my9YK4QQnVFbrccORkeaa3vkcSgc+wyUFyxhcrWxqYrLYGe2l5P/OxhPaCpRXU/juORphBkwthG9cFxOB5ce3z9g263/9wpDx0xomQnvtzT7PT7a+RwANwx+nKO6Tqk9t/eceH7wpVhbzrPinmSjwuFrhppcd4WEg1LgMXApgwyXlxmxkkUrOq4DjaQOlJhsDiUlsOInWPVLYI3asDBfiYOjx7VugFb8NTXmZ7st1mSHdN3w/vvvx+VycemllzJ+/Hj+/PNPnn76af7+979z1FFHccQRRzTXPIUQTRRwcUzzEG2OIb/auUpT4nE169GGhkcSHRc8S6Gtmbea/AFagMqzHJ0qQGso+F+1UgfHVsuizavMJXufYuvvffnplxDOPe9PjkieirOHiSmp04mxJrH7TzjzeLjwVIiPaYuvQAghhGh5cjfIwVPK4Oa+8/nBCku6HskioI9HMbay4dyewn05tba1SrmDajVp4+x1ZNJuq1ocmwaa8Jr2X6Ru5rJOHqUoNwxSLCZGh0rNKCFqioyEk06EEybB7ixwOsBm9zUJa60atEK0V4f0T+DXX3/l+OOP54UXXvBvmzFjBsOGDeOZZ55h0aJFhzo/IcRBiouCC6a42J6fgzW+OyNjY/mg2uu2JuTQZ2YEBmlT0vrW2amyLem5OiFvV3XYdI5z4TruYFultU+bgbz9Nx3qKCajyCzdyWcZ7/Hjnm+J33cZ+1aMBuD3td0ZcaaXa0ZcT0SYifBQWPKyrzmYEEII0SlJuYODtnIDvP2tRqXDygljTqNPYjZL9r9mb+T3Na9G0zCA2MSWD9Im2FPoHT6ccm8Rcfba5RVUhUJl7g/S2kHvpYMb0Jo/oF/iVYTrGjFmHave/tbLQrQXZjP07NHWsxCifTmkIG1OTg6zZ88O2DZgwABOPfVUVqxYcUgTE0Icmi7xcPdFZjbtjmFnQT/sIQ6c1daJTbmuv6dG07B2WY/WCWEvh6CX7S/xEGNQeY6DJhVR6wD+Wy2L1r7JwmMb32Nn1JP+bdmRr2E1/Q1N6YSaIxjey0RYCISGSFaREEKIzm3PDy52feZEeSD5GAtdjpE6Pk2xNRM+XOZbLAztCxWpVZHZxq4bazYNC4uIIiS0Ka1qD86RSacwIPIooqwRxNriar1u7PD6A/im3iZ0s45y0axB2j8dbqJMGi4FXSwmoqQOrRBCiCY6pCCtUgqrtfbip2/fvnzxxReHcmghRDNRyovX8KLrOs5q25uUSVuj3EFqWvsL0tq/sqEX7Q/QhhuUXV0BoW08qUOQm2Nmw7pQcvdaOGpCKd16uKhwlTM0bz2ZeVYybUdj+TGC3WXhcJhvn0hrDGcMPIfhw8qYNDKKLokm5PxACCHEX0X5bi/7VvpqjkYPNLXxbDqe6qWydN2golrwsrGZtDWbhrVGFu0BhjLQdBO6XvvvvnqpA32AiT+3wtq1GiYznDhJETXg0N//3pwS1jvcHB9u466kSAbY5eq4EEKIpmmRih92ux2n09nwQCFEi1KAx6swMDBpgUHaxuaWlJUUUVywL2Bb17S+zTXFZmHaqWNdWXUPf8VFlRjdG9HdohVk7rJSmG/C4dAZNbY8IFtj1f/CWLk8gsoKnZlX7CO5qxtDgWFo7Npp4cuPfUVj8y0/4MxcRFbZRgzlBa+NmM9/BWsxqpuL7hFpXDDofGYMO4vkqOi2+UKFEEKINqaqlaDX5DbzJjv7ODhioMGvu7Io0raQ64kDfB21GhukLaiRSdsa9WjBF6AFMGumoCW5jG1VPxymASbeeVdn40bflexxoz2H/P7rK92sqfSV2Pqi1Mk/2mdvXSGEEO3cIQdpFyxYwNq1azniiCMYNWoUo0aNao55CSGawdI9y/h93x48Lo3REYfjqF7uoJGL7awapQ4AUttTuQMvhLxvR9tfBsB1hAvPYa3bKOyZx5LI32cmJs7LNbfkoABlaBgKvv40is0bfCm9fQc6MFsUhZV7qfRUkLEnhd074wHYk2XBHmbwZcYT7Cr9nYI9ccAbAOzIyseIXV/1hiYnoaecypRBwzj3sFM5KvVzrGa5pVMIIcRfW7dTbMQONeMoMAhJkFtJmiosBLrEwWs7PuK13U9RZr8NIqYCYG9g3wNqZtLGtUImraEMPF43uqZjCnILkXIpjJ37L95bwNVNx7W/BlhaD8XI4Yc+h0UFVS3qR4daOCpcGoYJIYRoukMK0g4ZMoTNmzfzySef8Mknn/ivWoaEhADw2GOPMXToUIYNG0ZSklxOFKI1fbUSrnvsKAzNhTrsfsZOG3VQ5Q6yapQ6CA2PJDoueNfctmDeaMaU67utzQhv2Tq05a4S9lVksq88kyJHHmWuIoorisnMnYOntAvlnjwe/PFiPIYLt+HEY7gwl/0fMMW3f4WXyGgP726Zx+7SzdiKZmKz34U9xIvZVo4tvIRC9w5yK3ZAeA7auNmosJ0QmoWGRs+4PvTrMoZjehzFGb3Gkmhv+RpvQgghREcRkqBjCdVw5LePu2k6qmJ3IQDKHOLfFqIat3DMr9E4LD6pdhOv5ra3ciePrr+cMHM0x6dM5/x+1wa8bmQYsP9HQu+pExqp8/dbvWzZohEXrQ65oWqO28uXJQ7/8xviZX0mhBDi4BxSkHb9+vU4nU5+++031q5dy5o1a1i7di0bNmxAKcVtt93mD9wmJiYybNgwhg8fzsMPP9wskxdC1M3pBuW1omHFooViNVkOqnFYzUzalLS+QW8jayueIR4qzq7E9oMN5yQnKrL5jr27+E+2FvxKRuEfZBT9QamrEFxRYC0OGKeHno9GKZ6QbAocgScn5u6fctLoAYSEeAmLLcQaqrBafFkertTFPHL9FKwmCyZdw6SZ6BabQnbZDpLjUujS10Kf+JMYlDgUT8wQBobFgK7R3WIm0dYi1WqEEEKIDk/R6fqGthql4Ki4Ewgzh/FeSA9y9m8PaUSMVilFXhuUOyhy5aFQlHkKgzYBM7ZWK3XQ14RhgMMJI4crujRD3sHiwgoOFEzoZjFxXnRIveOFEEKIuhzyWb7NZmP06NGMHj3av83tdrN+/fqAwO3vv//ON998w5IlSyRIK0QriImAPr2KKSp30DthMJpuwlHt9caXOwjMpE1pZ/VoUeDp78U9ohwV2YRuaI2wYtcnrMr6yvfEMKNvuhUt43y8x50GoVXBWDX2CuyWUKxmKxY9CavZhsVkxWayEdGtjJkTNTTNgkYSmqYxsd/xDC4dgt1ip3tUF2xmOyZdx6Sb+MfEedgtdiy6JSAYfty2fWTvzeeYMBuPpUSR1qxfqRBCCCH+6tZvg1UboaRsNMf27sUSe5k/SNuYmrRlJUW4HJUB21qjcZhVt9E7Yhgl7gKS7Km1XvduD6xHW14JdhuEh3LIWbQVhsFbhRX+51fGhWGWrq1CCCEOUoukYlksFkaOHMnIkSO5/PLLAfB4PGzcuJE1a9a0xFsKIWo4Zji82zuMlVuKKXT2BuCxSsVeFLlAVCPTTGpn0rajerQKtEoNFaJQYQoOcqHt8FSwcvcXjEo5HrsplEqPE4fXQa+YEf4gbWj6Tbi2XQFA8pY3mXnN76QmxNEtJoHo0GhsJhu6pjcqy/jS0Vc1aX77PF4y3b4TjB/KnSSYZfEvhBBCBHMgltiObvrpML5dpfHUu75v3D2Xa5QlV30Twxqxf81SB9A6mbS9I4cyu+99mHQTyWGBqbHKqzDSfbUOlAbpFjNRDoiLgohmqErwQVElxYbvpy5M17g6vjHfKSGEECK4Vrtf1mw2M2zYMIYNG9ZabynEX57H68GrvJg0ExpwmAGJCnIV2Btx8lJeWkxRfm7AtpT21DTMBZiUr5tFYzta1LBp3yoWr3+ICncpZa4yRqeeQqg5hBhbNKNTjiPSFsqghFFYPd14+CFFfj6cPSWR04ZPxHKI2ReNtX5/t2CArmadblYpdSCEEELUSeodHBRP9VK+mpeyahmhEY3IpM2rEaTVTSZi4lqnL4lhGFh0C7pmCtiusgzfehHIC9W59xELAwca3HazcchZtF6leLmgKot2ZkwosWZTPXsIIYQQ9ZMzfSE6MY9h4DUMtGqLbEM1/rwls0bTMGgn5Q48gA6aS0OFKVRjCqXVITakKw6Pb4G9bu/3nNpvNuHWMEItIVjMVlIju1FSBm4N/n6TlxA7HDaomb6ORvrdURWkPTzU2rpvLoQQQnQQG56oYNdnTjQNBl0XQtKR8juzKU4fr0hN9LAmczuukHwe3WtgRPZgJ9DNoMEFZP7ewHq0MfHJmMytc7ppKIVJ0zHVCNLq3U3Y5tgpXGvw/me+ueTmaqR0OfT3/KbUye79dzqZgVsSpGGYEEKIQyNBWiE6qfSSnSzNXENeuZnkkC5AJEo1LbmkZqmD0PBIYuJbJyOiTgrCnw3FG2PgPNqFijOgCUkLSik0TcNreCl1lmLSQxiXegomXeeMAZfSNbILmqbx4wqNYUMVbgPMOiTEQlw0hDS241ozqp5JOyqkldJ3hRBCiA7G61B495dEVUb9Y0Vt/XuAYc3jtj2nQgaMjj6GCyPmkKQad8NSzXIH8UkpLTLPmpRSePGiaTqmIPVg9QidmGN0RiWayPlaccpJBqGH2NtLKcWL+eX+56dFhdDHLms0ITojTdO4+OKLWbRoUVtPRfwFSGFDITqpf32cw9ynurHgrXjWZO4GfAHaJgVpa2TSdu3Rp1E1V1uSaZeOaY8J60YLYa+HoJoQoE0v3MiCn2+ksGIf+ZUFmE1WEkPjuWzk3Vw3+gG6RfUGNN57X+fZ50w89IivA3BcDCTFtU2AVinFhmqZtGPC2mASQgghRAegqvpDoclZzkHJd+T7H0daotlfbrVRNX5rljtojXq0AHN/PZ8nNl7J69sfQteDLAy9oJlh0BDFQw94OfuM5mk0e218GMP3B2b/Llm0QjSd4YairZC/3vd/w93wPh3MunXrmDt3Ltu2bWuT99+wYQOapqFpGlu2bAk6ZunSpf4xwf5MmDChdSf9FyeZtEJ0Upl7dbT8MWiAXS1luw5P2jRQEGHA9c6GF6hZOwMzaVPbQT1a066qxbdrrBsaGbNclfk172x8Aq9y8+6mp5g97B4iQ6KIsUUFLOiLS+C7731nIhkZGrvSNYb1V5jaqMTYLreXQq/v70oDxoZKloYQQggRjFE9SGuSorQHY59jn/9xhCWaRlQ58KtZ7iA+ueUzab2GhxJXPgpFuaekjkEKh1vDFuFrFhZykH0MqtM0jbFhVgbazbgUjAuXi+hCNJqzCDK/hez/gru0arslArocBamTwRbdVrNrVuvWrWPevHmMHTuWPn36tPr7L1y4kLi4ONxuN4sWLeKhhx6qc+zs2bOZOHFire1JSW18J+1fjARpheikyj0VKN2FZliJC4mkWINN+09YEryNyyComUmbktb2QVrXeDee3h4smyy+IG0DlFJ8uW0RS7a/7t9m0iA2NIooe2yt8RHhcMMNXp5/3sR55xicNlUR5M65VvNbtVIHfWxmoqUhhRBCCBGcUbW+kUzaptuTB5t2eaCkDypiNxGWGKDxt17WLHcQl9jyQdoSdwEK3997jC2h1uvG/jVvpVsjJkwjIqwZ39uriNR1etrklFqIRivbDb89Aa7i2q+5S2HXV5DzEwy7EcK7tfbsOhWPx8Prr7/O+eefT2VlJa+99hoPPPAAeh0nt6NHj2bGjBmtPEtRkyxfhOikkka9jvfUwXhO68uAriE4q73WmDYa5aXFFOXnBmxrF03DDFAR4Jzswuhaf8E5pRQfb34+IEB7Yu+Z3Hn0s0EDtF4vFBRDWnd4+kkv557ZtgFaCKxHO1Lq0QohhBB1Csykbbt5dFQL3tH4z/PHY/7hS1yxp/BE39O5LlxjUUjDubQup4Pign0B21ojk7bYled/HG0NDNKqYoNvP9N4+k0zuYUaIXawN1MvOaeh8KKINOlE6JK1LUSjOIvqDtBW5yr2jXMWtfycqtm5cydnnnkmERERxMTEMH36dPbu3VtrnGEYzJ8/n6OOOoqEhARsNhv9+vVj3rx5uN1V525z585l9uzZAEydOtVfPmDu3LkAbN68mauuuooBAwYQFhZGREQExx57LEuWLKn1nsXFxWzevJni4ga+d9V8+eWX7N27l5kzZzJz5kyysrL49ttvm/hdEa1NLvsJ0UnlVvgWynZTGCGWEMqqrR/tjUikzcr4s9a2lHZQ7gAnKKtCWVW9998ppfho83Ms3/kBALqmM3PoPzip7/m16pXtzoSuXaCwBELtEB0FCTGNq7/W0n6rVo/2iFDpUi2EEELURXmqHkuQtuk81YLchjUMpWmUaeBqxB1YBbnZtba1Rk3a6kHaWFvgLbnuHzwcvcTNCDRe+z2Ufi9rEH9o71fgMSj0GkSaNCJ1nSiT3ub9GoToMDK/bThAe4CrGDK/g95nteyc9issLGT8+PHk5uZy7bXX0qtXLz777DOmTp1ae2ouF//6178477zzOO+889B1nW+++Ya5c+eSkZHBwoULAZg2bRrZ2dn85z//4dZbb2Xo0KEA/v8vXbqUVatWce6559KtWzdyc3N58cUXmTJlCt9++y3HHXec/z0//PBDZs+ezcKFC5k1a1ajvqZFixbRp08fxowZg1KKbt26sWjRIk444YSg48vLy8nLy6u1PSwsjJCQQ+y2KBpNgrRCdFK5lb4gbYQeja7rFFVbP0Y0IkibmR5YjzYkLIKY+DauR+MFzaOhIlSDtWi/2/GmP0Br0sxcOmIek3ufWWshvXkzzH/QxBFHKC66yCAmCuKj20eA1qUUf1QL0o4LkyCtEEIIUZfqjcOC9Y8S9Tv2cMXP+UvJKM1AVUs5DWvEujE/N6vWttYod1BULUgbY0sMeM3Y5fuBCENRhkZc7ZuomuzVwnKeySvnyFArNyWEMVTuchKicQy3rwZtU2SvgJ6ng97yYatHHnmE3bt388EHH3DmmWcCcM0113DOOefw66+/Boy12WxkZmYGBC6vu+46Zs+ezauvvsr8+fNJSUlh6NChjBs3jv/85z9MnDiRKVOmBBznoosu4qqrrgrYduWVVzJo0CAefvjhgCBtUxUUFPDZZ59x1113Ab462hdeeCFPPvkkxcXFREVF1drn73//O3//+99rbb///vu5++67D3ouommk3IEQnZDX8JK3vztvhDkWHSiuFnVsTJB2T0ZgkDYlrW/bZQq4AAM0ByibQtlUvZ9eqzK/5vOtLwOgoXPZ4fcFDdA6nfDEUya8Xo2VK3XWr9OIj6bNSxwcYAG+7BXPXYkRzI4J5XA5ERBCCCHqpKplfErjsKY75SiIH7UQ47AHUfaq4EN4I9aNeTmBQdrwyGjsoc1YALYOJe58/+M4e2CQVk/SMWI0lAYnXg5hoYf2XkVeg9cLKwD4X4WLDQ4PpvZwVV+IjqAkI7BJWGO4S6EkvUWmU9PHH39Mr169/AFa8AU2gwUtNU3zB2g9Hg+FhYXk5eUxadIkDMNgzZo1jXrP0NCqD6WKigry832fZ6NHj2b16tUBY2fNmoVSqtFZtK+//joulyugxuzMmTOprKzknXfeCbrP3/72N5YsWVLrj9SpbV2SSStEJ5TnyEdlnIle1osKWxe8AwnIpI1sTCZtjXIHqW1Y6sD2gxXLOgvuw904x7ugnq68GUV/8M7Gf/mfX3DY35nU64ygAWabDWbNMvj3v3WGD1Occ6bC1I4ybzRNI9li4oRIGz2tZmztJXoshBBCtEOqeql6+ZV5UPKdviCByVqVdhqmGl445u/dE/C8NUodQGC5gzhbl4DXLOdYMU9RFJRrjB2kHdIaL8/j5drMIor2XwgI0zWuTwg/+AMK8VfjrTzI/RzNO486pKenM3HixFrbBw4cGHT84sWLefzxx/n999/xer0BrxUVFTXqPUtKSrj77rt59913ycnJCXjtUJOjFi1axGGHHYZhGGzbtg0Aq9VK3759WbRoEZdffnmtfQYMGMDkyZMP6X3FoZMgrRCdUG7lPrTsE9D3TiQP4NxdgUFao+HFdlZ6YJC2a1s1DfOAdbUFvUzH9J0N9xAP3mRv0KGlzkIW/Xof3v1F6ab0uYjT+l9U5y85hxN691HMv8/LwL5ga4fVBJyGwqZp2KUphRBCCFEvJY3DDlmB0xf01Kwx/m2NuQMrb29gJm1cUmqzzqsuxS5fUFlDJ9ZWo+CsFzBpqHAdk37wpax+KHVwR3YJBd6qqwA3xYcTZ5YfMiEazXSQNU1N9WTntJF3332XmTNnctRRR/Hcc8+RkpKC1Wpl7dq13H777RhG/c2tD5g+fTpfffUV1157LUcddRQxMTHous5DDz3E999/f9Dz27BhA2vXrgWgb9/a5/Bbt25l69atQV8TbU+CtEJ0QnsrcsGoKtpqNkFxtYVpVAOL7fLSYorycwO2paa1TSatZYMZvcyXDuNN9uLtFzxAayiDV397gOL9JxeDE8Yxc+hNtZqEORxgt0OlA0rLITYKEtIg/BBvgWspTqWwaxp2uZ1OCCGEqJdRPUgrmbRN5jE8FLkKAVCWaP/2xgRp82sFaVsnk/ZAuYNwSzRmc42r7R5Quq+c5cHcjOQwFI/klrJ4f4mDAy6KCWVecsTBTlmIv6bINLBENK3kgSUCInu22JSq69mzJ1u2bKm1fdOmTbW2vfHGG9jtdr799lvs9qog8o4dO2qNrStZqKioiC+//JKLL76Yp556KuC1e++9t6nTD7Bw4UJMJhOvvvoqVmvg56LL5eKiiy7ilVdeYf78+Yf0PqJlSJBWiE4op2IvxvD/YLgjmRJ5KZo2okmNw7JqlDoAX03atmD9qaoOq/NoF9SRtLAs4z22FawDID6kK9eNfhirOfDKq1Lwf4/rDBygOGaCIjYK4qLbZ4D253IXXqXobjURZdElk1YIIYRoQGBN2jacSAd1wRyF/sd6MFXiPSbTv/1gMmnjk1q+aRhAiasAgChLLHqNyHxpCfy2Q8carREaCV0SGn/cTQ43N2cVs83l8W+za/BAlyhujA9DlxJUQjSNboEuR8Gurxq/T5ejW6VpGMBpp53Go48+yocffuivS6uU4rHHHqs11mQyoet6QJkDh8PBggULao0ND/eVRSksLKx1DKBW1u2PP/7IypUrax2nuLiY7OxsunTpErTp1wEej4fXX3+do48+mgsuuCDomOeff55XX32V++67Tz7L2iEJ0grRCWVX7IXQLCCL3l01NC2wJm10A4vtzPTApmEhYRHEJCQ3/0QboO/RMe/0fUwpu8I1zh103J7SHXz+50LfPpqJq0c9SHxYYq1xy3/U+OMPnT/+gNgYL2edodplgNalFPfmFLPD5eXIUCsPd41koF2ahgkhhBD1CSx3IBc3m6rM4UEzwjA0A5elKlO0oXWjYRgU5GYHbItrhSCty3BS6S0DINIaX+v1zGx4/nXf+umC870M6N2IaDPwa4WLmbsKcFYbPsRu5tXuMYwItdW9oxCifqmTIecncBU3PNYaBamTWn5O+91222288cYbTJ8+nWuvvZZevXrx+eefk52dXWvsGWecwfvvv8/kyZOZOXMmpaWlvPLKK/5mYtWNGjUKXdd59NFHqaioICwsjCFDhjBkyBAmTpzI4sWLCQ8PZ/jw4WzatImXXnqJwYMHs2HDhoDjfPjhh8yePZuFCxfW2zzsyy+/ZO/evfzjH/+oc8yZZ57JzTffzPfffx9Qg3bVqlX+oHJ1ISEhnHXWWXUeTzQvCdIK0QnlVOz1P44xxeMFxnkgV1MUag2XO9iTERikTUnrc8jFyw+GbWVVYNI1yg1BmgR7DQ+vr38Er/IFcE/uO5vDkkcHPd7mzb6vQdMUffu0zwAtwKsFFexw+c40V1a4CJMrnEIIIUSDEsdZCEnS8VQqzAdZ/vCvrEvXIjYW/oFhd2Po3f3bGwrSlhTsw+N2BWxrjUza0v1ZtAAx1erRGple3Ms9mFw6ycpMjmYiJibYEYJbVeHyB2g14Oq4MB7rGkWISdZjQhwSWzQMuxF+e6L+QK01yjfOFt0q0wKIi4tj+fLl3Hjjjfz73//GYrEwZcoUFi5cSHJyYLLSjBkzKCwsZMGCBdx888106dKF2bNnc+SRR3L88ccHjO3RowcvvPACjzzyCFdddRUej4c5c+YwZMgQ3njjDW655RbeffddFi1axLBhw/jggw947bXXagVpG+uVV14B8GcDB3MgSLto0aKAIO3ChQtZuHBhrfFJSUkSpG1FEqQVohPKKa8K0kabEzBp8A+nItuAPCCqgXhrZo1yByltUY+2Eiy/Vit1cKwr6LAyV5H/9ra06EGcN/iaOgPKl15iMGacQX6uxthRzT/l5rDX7eXpvDL/84tjQzk8tB12NBNCCCHamf6XhOAsMnDkGVjCJZO2qaae+jNfx9yON6Qr8DoAulLUzqsKlJe7p9a21qhJW+KuCtJGVcuk9W4z8P7XQzfgiv6K3waEMGhA47JoAS6JCyPGpPGvfeU81y2as6Pb6VV9ITqi8G4w6h7I/A6yVwTWqLVE+EocpE5q1QDtAT179uTjjz+utV2p2p8f119/Pddff32jxl5yySVccskltbYnJiby2muv1do+adIkFi1aFLBt1qxZ9WbQHvDee+81OCYtLS1gnhMmTAg6b9E2JEgrRCeUU5GLlnMcdiLZaYkiNdmBocAAGpMDUCuTtmfrB2mtayxobt8JlruPByM1eJfMSFscFw27n9/3/sDolOOwWepOnSmvhL69YfxYdVANJFrDw7mllBu+X5KxJo1HutZdc0gIIYQQNch55kHb5/A1X9U8FRxfsB09rBcVWsNrx/ycwHq0ZouVyJja5QeaW4kr3/84xlpVcNbYVbVmTBmjk3asIqUJVbsKPAZTI0OYERtGd6ucLgvR7GzR0Pss6Hk6lKSD1wEmu69JWCvVoBWivZJ/AUJ0QjkVe9HX/xt3ZSrv/enhqFF7MPCdtzS00C4vLaYwb2/AtlZvGmaAdWVV9qjrGJfvfrMgKj2VmDUzJ/SZTlKQOrT+QxrgcEJiHIS301sgvyxx8FmJw/98TnIkCWbpfCKEEEI0leTRNl1epS/oqbuLOKWygkizogwa/GbWbBoWl9i1VZrRVM+kjbb5grRKKYwtVcWJjTQTmg6NrdpVbhgYKGJMJlItsgYTokXpZohum+bUQrRXEqQVopNxel04vA4wfEFOs8mXUmLQuEzarBqlDgBSW7ncgSndhCnPN1MjysA9whN0nNfwUuYqJ9YeQ7Q9us4yB2XlYNLBboVQO5jb4Sffz+Uu7thTVZtpVIiFa+OCFOEVQgghhGgBNw2/lqG2yazNTCfB1o0KGncHVn7NIG0rlDoAKHblVb2nfX+QNlehinxrXy1OQyXroNHgHVRZbi/JJo1Cj0Gi2US8WUdvg34MQggh/traYahCCHEobCYrG6ev4umIbNKzC4izJrHKBNka2LyQbEB9N9BnZWwLeB4SFkFMQhPuEWsGlvVVH02uMS6wBL5uKIPX1z9Ev7gxDIofQ4QtArs5eLddw4C77jJhD4GJEw0uOKf93Qe5pNTBTVlF/iYVYbrGaz1iMbXXmgxCCCFEe9b+ftV3CFfcH0Fh2VAiI3sy9pxiymhskDawJm18css3DQMYGjseC2E4jFISQ3yNzrybqmXR9jVRUqqhABW8ahYA+R6D03bkMdhu4aaEMPrZLYRLkzAhhBBtQIK0QnRChlKcOM5BepYXnBU8ZdH4r9mXDTDNYXCmu+59s9JrNg3rU2eGaoswwLKxWpD2iNpZtOuyl7I2+wfWZv/AMT2mcfWouXUebvMWyN3nm/+mPzRCbO3rzO2twgrm5JRw4NwhRIM3e8QywG6pdz8hhBBCBPpzUSWuQoXHqeg704bJJJmQTbF6E7g9Nnp0dYNWiqJxZSNqlztonSBt9/D+RJiSiLSGEWuLA8D4sypIuzTfyht3+NaUH7zlIcQe/Dj/l1tKiaH4qcLF1kwPOwa207pYQgghOj0J0grRCXmVF4+h0NBRGuyptsJOqieTACCrZtOwVi51YN5qQi/zZS94k7xBG4Ztylvtfzy++0mYTXUHNE06DBhgsHmzzpQTVKNrkrUWBf4AbZSu8V5aHJMj6ziLEEIIIUSdMj5w4sz3XYztOzP4HTYiOMMAm9VX0zX3CAevhpgxGYqhHujVwPXtmuUOWiuTFnxrXk0zoem++rFGRtW6MSusqqaspY6l4poKF+8XV/qf35oYToRZsmiFEEK0DQnSCtEJebwevIYbXbPh0RTZ1daayQ0GaWtm0rZuMXdl8gVnTXtNuEe6g6ZwnDv4ZgbEH0lh5W6GJo+r93j9+sE11xh4XAaHDWyhSR+C4yNspDtD+arUwac94xgZJieVQgghxMFQVUmUaNLzqUmchoNTr32EynIbn3Y/nY+sUYBGbIVBL2/d+1VWlFFeWhywrbVq0iqlQClMugld0zGKDFTx/nq0MRppwzQqrAYaYLXW3t+jFHNzSvzPB9vM3JwQ3ipzF0IIIYKRIK0QnczCTYtZnvUT3tIuHBt1Oh6rhqNaoDPZoM5718pLiynM2xuwLaVn62bSent7Kb+0EtMuHc+w4A3DypzlDEoYRVL4yeha7WwHpxMqKiAmBsoqwGqB1C7UeZtbWynxGngU3JUYzvwuUXS1yhmlEEIIcbCG3BiKI8/AVWKg6e3s1pl2bm9FLq/9+QYAFb1O82+PbCCLNi8nq9a21ih34FVeNhT8hKashNqsQBLGzqpMBL2nzpQTFaNGK6IjggdpXy+sYLOzaq25IDUas/QDEEII0YYkSCtEJ7MyZxVL0ldi/uJXlgM9JpRAT1+WQLihCK3nnKVmqQOAlB6tm0mLGzArPMO9qCDJDG6vG4/yEGaJJdwaFvQQzz6nYw+Bc871LdZjIiA6ogXnfBDcSlHsNehiMdHVaiZETiaFEEKIQ5JyvBVHvoEjr4HbhkQteytzAVDoOK1Vi6aEBoK0+7J3BzzXNK1VMmlLXQUs3DoHgLGJU7gp5vEaQVrfhW+lfLkJNVdZ+zxenthX5n9+QXQIx0W0s6v5Qggh/nLkUqEQncy+yjwwqtIFnNFV96glNLEebUhYBLGJXZp1fg3R3BrKCqpGgy9DeVmz5zuKK4sJs4YRbgsPmkW7bx+sWq3z3/9qFBdBcjwkxPmyaduDHU4PS0odFHq8ROk68WZdArRCCCFEM2vVpqedwLC4w/jghHe5tM/DGHrVnT1xDawdawZpY+KTsVhbvnRTiTvf/zjKGg+AsbNqzWvqs3+NqEDTqNWT4JG9pZQZvrVmtK7xWEpUy05YCCGEaATJpBWik3lv6mL+t+sPnsjbjs2bRG5Xl/+1mAayIWo3DevTuic5XnxdtKxAjaDqhtyfWLz+IaJs8Vxw2K30ie0V9BBr1vjm6/Vq7NimMWFcA190K3sot5SlZU6Gh1iYnxTBsNB2Ej0WQgghOoP29Wu/wygptfHeRwPYYusKPX1rxzBDYW9gGVgzSJvQpVtLTTFAlDWek7tdTrEzn4FRo1BKVWXSaqD33p9Ju/959eXsz+UuPi5x+J/PSY6ki0VOi4UQQrQ9+W0kRCejaRpdIsK46ry9mBwWnrNUZZs2VFcsKz2waVjX1ix1UAHooKwKZak90aUZ7wFQ7Mwjxh4XNIsW4MQTFfFJHtb9qjPl+PZ1pra0zMnSMicA6yrdFBtgkkwfIYQQolnJb9amyyuCd5bYcQw3gAKg4Yv70LZB2iMTTgU0ksOTUPsUVPpe05I09HCd+x/QycnRSEqE/zzty7J1K8W8vVXNwobZLVwfH7x8lhBCCNHapNyBEJ2Mx/DgUR5Mmo4CCqv9K48y6l9tZ2UEBmlTW6lpmL5PI3J+OKFvhGDOMPkyaavZVbyF9MINAKRFD2Jo8pg6j2UY0K07XH6pQZeklpx10zgMxbxqHYSPDLVyfrTUPhNCCCGaVfu6PtthON2+/3tjqkoGxDSitG9bBWkBDGWg6zomXQMDTMNNaDEapjRfFm1+vkZBgUZeflUm7e+VbjJcvmZhGvB0ahQmaRYmhAC2b9/OSSedRGxsLJqm8cQTT6BpGosWLWrrqYm/EMmkFaKT8RoGHmVg0ky4FRRXlRUjqp4Tl/LSYgrz9gZsS0lrnUxay0YLmqFh+dOMEWvgHuMJeH1Zxvv+xyf0vgCTXvdHl8MJIVYIsdeuP9aWns8vI9PtO/ExAwtSo9DlpEAIIYRoFoZHseKKUpQCS6jG4XMlO7IpVjve5KxLnfwQP5hNpAAQ20DAWynVtkFaQ2Ey6eiY0JN1rDNtvhq04b4FYEKCwuuFxMSqL+TwUCuvd4/ln/tK6W+zcHS4XDAXQvhcfPHFbN68mXvvvZf4+HjKyspqjVm3bh0fffQRM2bMoE+fPm0wS9HZSZBWiE7kl9y1vPjHq9h1G4dHjyWFJIqrxQGj61ls16xHC5CS1jqZtFqRhkKhoeEe7g54rdiRx7qcZQDE2BMZ321qvceqdEJEOIS2ozV3utPDf/LL/c+vig/j8NCWb6ohhBBC/FUoLxRv8V0Mtca0o6u0HcTibYvYUZJBZcoDcCBI28AdWGUlRTgqAoMY8V1SW2qKAXaX/UmZq5xkLQWTtr/JrRewgLa/kO5ddxrk5EHXhKr9nIYiwazzSrcYUqxyKiyE8HE4HPzvf//jhhtu4MYbbwTAMAxmzZqFxVLVQ2TdunXMmzePsWPHSpBWtAj5zSREJ/JHwWY+y/gSCobx9Zr7sJstnDKulMOOK2UHkGZQZ6G2PTsDg7T20HBiE7u0+JwBHGc4cY1zoeeY8PT3Bry2KutrDOXbNiHtLOzW0KDH+HMrvPeeztBhisnHKezWoMNanVKKuXtLcO8/z+lq1pmfHNm2kxJCCCE6GVVt+aCZ6h4ngsut3Od7YE/2b4tvoNxBXk5mrW2tlUn7Tvq/2F3+J3ZTKAsnrPRt9AIh+M9wlaq97C3wGkSbdOItZsJMckeTEMInNzcXpRTR0dH+bbquY7e3o8wf8Zcgv5mE6ERyKnzlCjRnPJUVIRSWmDEpjSgFXQ0Ir2ffzPTAIG1KWl+01qoX4AUVCp4RHt/iej9DGfy0+wsATJqZyb3OqvMQP67Q+X2Dzuuvm9i6TWs3pQ6+LHXwv3KX//mjXaOIMsvZoxBCCNGclLcq61OCtE1T5i6jzO2748eiDML2B2cbahy2L3tXwHOT2UJsfHIdo5tXiSsfgEhLHLpuQhkKpRSaSUPTfYtApQANPCichqLUa6ABMWadGFM7WSgKIdrcrFmz6NGjBwDz5s1D0zQ0TWPp0qUBNWnnzp3L7NmzAZg6dap/3Ny5c9to5qIzkkxaITqRnIpc3wOTk57diykpDiMu2oOBr4+GXs96NCs9sGlYa9WjBcADyqLAHHg2sCXvFwodvsDzsORjSAjrWuchundTaJoiJATGj2sfXUNKvQYP7i31P58UbmN6dEg9ewghhBDiYBjVM2nby5XaDiK3Yh+Ud0crPIwhxX9y9vB+qEQP0VDnHVhQu2lYXFJXdFPLR8gN5aXUXQhAlDXOt9ELmllDMwdOWAPecZTz1Y5KrokL49SoEOJNuvyMCHEIXC4Xu3btanhgG+nevTtWa+Nvq7zyyisZPnw4N910E2eeeSbTpk0LOm7atGlkZ2fzn//8h1tvvZWhQ4cC+P8vRHOQIK0QnciBTFqVuIL5Z2VRWhSBZoYi1XDafNbO2pm0rcIAzaWhwhSqRpnWnzK/8D+e1POsOhfUhgGjRytMZoPSYl9N2vbg0dxS9np86Sg2DZ5OjZZmYUIIIUQLkHIHBy+nIhctbwymdQ+yDciIzyct0UND38a2ahpW7i7GwLe+irLG4f7OjZFjoKfqWI60oIVreL3wxJM65aEe/nt2OW6T4o6cEsy6xi2JEa0yTyE6q127dtG3bysm9DTR1q1bm1Qvdty4cXTp0oWbbrqJoUOHMmPGDACWLl0aMG7o0KGMGzeO//znP0ycOJEpU6Y057SFACRIK0SnciBIG2mJxKLZcBoaFl35smjr2a+8tJjCfTkB21J7tk7TMNz7s2htiupnAyXOAjbm/g+A+NCujEg+OujuhgH5RWCzwKTjFImxrTDnRuplNWPTwKngloQIBtgtDe8khBBCiCZT1eqnanI9tEn2VuaCt+pKuclsNHgHFrRdkLbYne9/HGWNx/urByPdwAuYBpnQE3XcbvhljU7xxaW4Tb47rBJMOhfHBu9tIIQQQrQHEqQVohPJKfcFaWNt0aBM/GCHF2IgQmkM8cBVzuBlAPbs3FZrW9dWyKQNecOOEWPg6e/BMySwYdja7O8x9p9xHd39NCzm4LesOF1gMUNsNMRFg7UdxUHPiQ5hiN3MF6VO7k2WrA0hhBCipUhN2oO3tyIXlfAT3uF3cHTUNBKTUhvVuGRfdmDjsNYK0pa4CvyPY02JGJn7I/Rm0Hv4Zu52gyfRjWNkpX/sfcmRxEtfACGEEO2YBGmF6CQq3BWUuH31T2PtsRhKI18HQ9Mo1sBN3XVaszIC69HaQ8OJS6y7/mtz0PM1rOt9EVVjnYWS4WUBr/+y51sANDQmpJ0W9BgPPaITGQnHHG3Qq1v7CtB6laLIazAsxMqpUSHYpMyBEEII0WKUp+qxZNI2TW7lPojYjjcmh149p2KO9Da4j2EY5OW0UZC2WiZtdEgCtpvteLd60Tyg23x/+eHhMHxOCd/tX/72sZq4PE6yaIUQQrRvEqQVopM4UOoAYPfX83jwx0TSp5ZAtBuov0NvZnrterQt3VDBvLXq48fT1xtQjyG7NIOsEl92b9+44XSJ6FFr/8JCWL/et1NBAUyZZNQa05YKvAbhuk6sWSfcJGeLQgghREsKqEkrv3abZO/+xrPuuNH8M603AGkeuL+y7sVjccE+3C5nwLa2yKSNscejx+rocTp6dNVf/F7Dw1JVlUV7W2IEJrlgLkSz6N69O1u3bm14YBvp3r17ix1bmg6KliZBWiE6ieyK/TVllU5h1gAKlY7r5FL/6zFG3QvtPRk1g7SNL7R+sMybqz5+3IPcAa/9smeJ//GR3U5GD3K2lbVHw2pVuFwao0Yo2sO6u8Rr8NS+Mi6NDQUNksw6CeZ2MDEhhBCikwuoSWuSk+imyC7fv4a0Rvu3hddzcR9gX3btzu5tkUkbY0sEL76L/dUqGbzlLOdA3D7FZGKW1KIVotlYrdYmNebqTMLDfR2qCwsL23gmorOSIK0QnUT2/nq0uKKw2Zw4HSF4q92uFltfJm2NcgcpaS3cNMwN5u2+lbTSFZ4hVfcoGspgbfb3AFh0G0emBu+aOWSw4l//8rJ7FwxqpR5n9VFKcW9OCZ+XOPi61MHjXaMYEWLFJFdbhRBCiBYnNWkP3p7yHHDEYdWr+hE0HKQNbBpmtYcQGR3XEtOrpXombZw9yRekteAP0uYZXr50VmXRXh0RjqU9XM0XQnR4o0aNQtd1Hn30USoqKggLC2PIkCEMGTKkracmOgn5bSVEJ5FVvsf3wFbIbXd+wL/v3YWKbThIW1FWQuG+nIBtKS3cNMy83YTm9gUvvT28qMiq1/aUbqfYkQfA0KSjiQmte8FvKBg8CFJTWnS6jfJBcSWflzgAyPEY/OHwSJkDIYQQopUYUu7goHgNL9kVOeibb6Qy+2z/9qYGaRO6dGu124CL92fSWnQb4ZZI8Chf6tH+9KN3HOUcuEcr3KEzYk9Yq8xLCNH59ejRgxdeeIGKigquuuoqpk+fznvvvdfW0xKdiGTSCtFJ7CmvCrTG25JQDiitlkkSV0fJ1qyM2vWEUnq2bGpqYKkDT8BrqZF9ufXIl/hj30oGJ46s8xiGAV7D1yysrRuG7XR5uC+nqrTEUWFW5iZHtOGMhBBCiL8WqUl7cHIr8/AqL7phxQirWixGqPqjtPuy26ZpGFRl0iYbPdDKdJQGullD0zWKDINPnRX+sdonkfySqnPSka02PSFEB5SWloaq8bk3YcKEWtsALrnkEi655JLWmpr4i5EljBCdhD+TFoi3JLFPVWUzaEoRU9d+NUod2EPCiEvs2hJT9FFgqR6kHeqpNcRsDuWYtDM5LGlsnYdxucFmAbu1RWbZaIZS/CO7mIr9v8CjTRqvdo/FLLfVCSGEEK3GZNOIGmAioqeOPVF+BzfWnvJsAFT8z1iTqmosRjQ1kzY5tdnnFoxSihK3L0h7zK7TcPyjEudjDrxrfetJDZhqDcVsgF6sE/JTGLY2vpgvhBBCNJZk0grRSRxYZEdaIrDpoeRVu+UsQgX0UghQM5O2a1rfFr1dTd+roxf5Tp6MGAMjNTDF1+N1gwK72Y7NHDwC++ZbOjl7YeAAxbTTGziLaGFLSp2sqqhqfPZUSjS9bPLRKoQQQrSmyN4mjn4+gsp9Bt7Ktl0bdCR79l/kV90/wJ5wIaXYgYMI0rZSJm2FtxSv8q27euYPAkDlK7D71q5Rus7MkDBO9ISypcJgwJUao4e1ytSEEEKIQyaRBCE6AaUUWWW+RbZl+1W8lJNAZk8nxDsBiK5noZ2VHhikTe3ZsvVoLTVLHVSLHhvKwOFxEmK2E2oOqfMYK1dq5O7T2LBBMeM8b53jWsOKcqf/8QkRNmbGSt0zIYQQoi1Jz87Gq14uy2EO9T+OrGft6PV4KNiXHbCttYK0B0odaEonNae3f7upvy8BwKsUDqXoF2lijM2G8kKPFrxBTAghhGhOEqQVohModpVQ7vHV33JnTuTLfZE4wosBXwAxpo56tACZNcoddO3Rwk3DNldFZd1DqjJQDWXwyIrLiAtNYUzKCfSMmRZ0/7IyXy1agEEDFSH2Fp1ug9ZXVn0NZ0TVHVgWQgghRMtSCpAk2iaxm230iOjOnop9FJhs/u2x9awd83P3YHgDL5K3XpDW11y2R1F/bE7fukvrqqHH+taXZUoRpulE6jomNLyaBO2FEEJ0HBKkFaITcHldnNxjCuklGewsTwIgMcPCWQ6DP3WN7t7gZyzlpcUU7ssJ2Nat94AWm6dWDqadvkW0sig8A6sW+LuLt5Bbvovc8l2EmkM5ud/5QY8RHg6PPuxlRwbERrXYVBul0lBscVbV1B0X2sYFcoUQQgghUbkmuHjAhZyQOplVRVmcX+37Fl/PPvuyd9Xa1lpB2uL99WgH7xvt36YPMrHM5WCc2UqFMkjSTURqOpXK96MgPw1CCCE6CgnSCtEJJIYm8PjRD5JRuJPcwVvJ2dWFvEITvdwwUimsEHSFmpn+Z61tqWn9Wmye5q1mtP0NzTx9PVAtC7bUVUikLZ4SZx6juk6s9zgOF/TpDSmJLTbVRvnD4eZAmDlM1zjMLh+pQgghRJuRLNqD4jW83LOwH1xSAkCEoeo9SdybuTPgeUR0HKHhkS04wyqHxx1HF3sfuq/t4d/29IAKvix3k6TrnG0L5QJ7OIUFGpvTwWqB2EiIbp3pCSGEEIdEIgpCdBIerwe34SXcptMl0U1EuIEX8AJ1NbXNTN8S8Dw0PJKYhOQWm6N5U7V6tEM8Aa8NSTySLmEDKHHncljC4XUewzDA7QG7zfenLf1WrdTBcLsFky7dpIUQQoi2UJHjZd/PbtwVipAEE3HD5DSnsdyGB2e6nehnLYT3cHHkxOJ6x+dkpgc8T0rpUcfI5mfWLUSrBCKyfLdTuc2K73r71mN7DYOPnZXMskfw/Wr45yLfPs/Phe5Sl1YIIUQHIKsXIToJj/LiNbygrBgGmHVFBb4gbV2hw6wambSpPfuhteAtgq6jXKgwhXm7CfdhgUFar+HFi5fe0YOIskfX2lcp2LBRo0eawm6DEBu0dUz09Cg7sSad3x0uRoRIqQMhhBCirRRt8rL+0UoAuk6ySJC2kQwMPIaHnrGVlBWEEKlZONZNvTUC9mYFZtImpaa16BxrsmRY0by+Cf7Ry8Bl9U13mi2UO0KjiDOZcFdbZlrrylYQQggh2hlZvQjRCVR6KnF7XXiVF02ZMLwahg4e5QvQ1hV3rZlJm9qzf4vO05tqYMS4cJyuUDXaBju9TqwmKzazLWigeNUqjSeeMtG7t+LyS730S2vRqTZKnNnE0eFWJkfY6GOTj1MhhBCirajqfazkxpZG2VW6m2lfXkisLYZx08YxLmoG28tNDX779mZlBDxPSklrqSkGZd9edWH81/39DWbaw5gbHuPfPqw/XHyG7w6sHimtOj0hhBDioElUQYhOYMaSy1iX9ztRhSdzevQtbOxmsKebhyRdo79HBe3Qq5Ri946aQdqWq0cLgAcwKTCrgAyNgsq9aMpKiDWEUEvtGgZuNyx+w3fKsH27huFtP1kRTgVRJg2bLm0phBBCiLYS3l2n57k23GWKqL6mtp5Oh5BZtoecir3kVOxlUPRgPAoMrf4Yt2EY5NbMpG3Fcgef73qJKVsvAHxFZtcN8GIBbgwJLDo7uC90SQSbFXpIqQMhhBAdhARphegEssqycXqdlO2YyMKdiRTPyscR4gE0FHC4q3YnjZLCPMqKCwO2pbRwkFbzgLL4/hzg8JTz4PKLCbfGcEzamcw47IZa+5nNMHOGwYcf6yQnKo4a06LTbDSvUhhKYdc0LNJJWgghhGgzUf3MhHU34cgzUJ6GxwtwG266h3cjuyKHRFsiXny91+oL0hbl7cXtcgZsa81M2v9mfcZ5hdcBUGlVpKcajDRbiTYFCczvzwmQFZoQQoiOQoK0QnRwSilGJg4noiiCbEcPXICnS1VDq27e4K2Oa5Y6AEjt1YLlDhTg1SBEBXzybMlbg1d5KHbuw+2tRNdrL7I1Dfr2U9zzDy+xURBsHd7afqlw0ddmwqZp2CWLVgghhGgfgi97RBDHphzNZye/y46CndysovnEo2GzKc72Qpc69qlZ6gBaryatw1tBQnEXTMq3kMxIMVA6HGWxBx2vQKK0QgghOhSp2CREB6dpGv8a/zALjvo/7p7t4voZuajkqhSS7kFKHQBkpm8NeB4ZE09kdFzLTLICcOL7xLEQ8MmzOW+1//GILscG3d3rAbcHwsIgLibokFaV5fZy0c4CTt6RzycllZjkhFAIIYRoe/t/H8vNLY3nVh52ZFn5RVn5zaKxKrT+OHdOZkbA87CIKMIjo1tyin5W3ca50f/nf56R4lvkTrLWDtI6nL4/ID8PQggxYcIE0tLSGjV27ty5aJpGRkZGi85JBCdBWiE6AY/Xi1d5SUtx0mWIA+/+TFNdKbrWGaRtvXq09q9tRD4YTsjbdvScqpWyUorNeb/4xpjDGBQ3Iuj+HgMsZgixgt7Gn1rlhsENmUW4gb0eg9cLK4gyy+pfCCGEaBfkwmmTeL1edpRbUNXWV3H1fA/31gjStmapA10zsbcw1v88I9Xg8pBwhlistcb+30tw9t9g0izIK2i1KQohOrjS0lIeeughxowZQ3R0NFarle7du3P++eezZMmSgLGapnH++ecf1PvccsstaJrG2rVra712xhlnoGka9913X63XXnzxRTRN4/XXXz+o921uhmHw+OOPM3DgQGw2G4mJicyePZucnJxaY2fNmoWmaUH/1AwI//zzz4wZM4bw8HCGDh3KV199Vet4WVlZRERE8NZbb7XUl9cmpNyBEJ2Ax/DgMQw0zKRX255ggKWO+GFmraZhLVfqwLzNjObSsPxpprJaskNu+W6KHPsA6B83Ers1tNa+ZeWQnQ0WKyS2UKJvY1UYBpfvLmS9o6qcxO2JkdjaOnIshBBCiCpy7bTR3IaHfdWeW11gq+f7V7PcQVJq6zUNA4icWMzy/mbiiyI4c3gEk8PCgo5zuqoe22v3pBVCiFo2b97M1KlT2blzJyeddBLnnXce0dHR7N69m48++ogTTjiBzz//nJNOOumQ32vChAn885//ZNmyZRx++OH+7UopVqxYgdlsZtmyZbX2W758OQDHHHPMIc+hOcyePZtXX32VKVOmcP3115OTk8OCBQtYsWIFq1evJjo6utY+r732Wq1tCQkJ/sfFxcWceuqp9OnTh8cee4xPPvmEM888k02bNgVkA994442MGzfuoAPl7VWHDtKuXr2aOXPm8NNPP+FyuRg8eDA33ngjF1xwQaP2X7FiBR9++CFLly4lIyOD8vJy0tLSOP3007nzzjuD/kAJ0d44vS7cXjcerwfNsJBeLV5YVxatUoqsjMByBy3WNMwJKkShNIUKVxgpVZM6kEULcFjSuKC7/75e46mnfanB11/r5bxpbZMiU2koLt9dyOqKqgDtpbGhXBNXO7AshBBCiNa19yc3WV87MTyQMNpM0rja2ZWiilKKoz84gUhLBJauU4BTAIhrIMC9N2tnwPPWzKQF6KJ5KYrR6N/XxNCUutdgA3pDaTkYCkKCl6wVQgi/8vJyTj31VPbs2cPnn3/O1KlTA16fM2cOb775JnZ783ygjB8/Hl3XWbZsGTfddJN/+8aNG8nPz2fWrFm8/fbbuFwurNaq32fLly+nV69edOvWrVnmcSjWrFnDq6++yimnnMKnn37q337aaacxZswYHn30UR588MFa+82YMaPe4/7000/s27ePX375he7du3PRRRcRHx/P119/zZVXXgnA119/zaeffsrvv//evF9UO9Bh07+WLl3K0UcfzY8//sjZZ5/N1VdfTV5eHhdeeGHQH4Rgzj77bJ588kkiIiK46KKLuOaaawgNDeXRRx9l1KhR5ObmtvBXIcShu+fn+xn7wUSu/upf/PgbbHZXddWqK0hbkJtNZXlpwLYWK3dgg/IrKii9tYyKSysCslu2VAvSHt5lfNDdyyuqHkeEt8wUG+M/+WWsqhagnR4dwvOp0eiSRSuEEEK0udIdXrKWuMn+wU3ZrjoWQMJvX2UeO0t38XvBRvYYVRfAo426L4YrpWpn0rZikPa3gh/5NutNNhR9jaFXoJnqjijPOBXuvBL+eYdk0gohGvbCCy+wbds2brvttloB2gOmT5/OxIkT6z1OdnY2mzdvxu121zsuOjqaoUOH8uOPP6JU1efu8uXLsdvt3HTTTVRWVvLLL1Xny7t27WLnzp0ce6yvj8vmzZu56qqrGDBgAGFhYURERHDsscfWKstQn2effZa+fftit9sZPHhw0CzXuhzI9K0ZdB01ahQDBgxg8eLFQfdTSlFSUoJhBP9dXVlZCUBMjK8ZTWhoKCEhIf7tDoeD6667jjvvvJO+ffs2er4dRYfMpPV4PFx22WVomsby5csZMcJXx3LOnDmMGzeOOXPmcM455zT4F3bTTTdx0UUX0aVLVf9SpRTXXnstzz33HPPmzeOZZ55p0a9FiEO1uzSTSk8lzq0jWfDpEPL+kQNRvsZh3bzBF9o169FCy9akxQMqAjxRVR/Ebq+LbQW/AZAU1p2UiLSgu3ZLVUyaZOCohJSubZNFayjF+0WV/udnR9l5tXsMZgnQCiGEEO2C8lStETRTPQMFALvKdvsfm0KqzoWi64lvF+fn4nJUBmxLSk1r7qnVaX3Bj6zJ+w6AUwee3OB4pXy5AbqUvxCixZz21oUtctxrRl3ClD6T6n2/6UOmMX3IWc3yfh988AEAl1566SEd58477+SVV14hPT29wUZdxx57LE8++SQbNmzgsMMOA3yBzzFjxjB06FASExNZtmwZRx55pP+1A/uBL3Fx1apVnHvuuXTr1o3c3FxefPFFpkyZwrfffstxxx1X7/s/9thj3HrrrYwZM4brrruO/Px8/va3v9GjR+PK2LhcvroyoaG172oICwvjjz/+YO/evSQlJQW8FhUVRWlpKSEhIUyZMoVHHnkkIHY3cuRILBYLc+fO5YYbbuCdd96hoKCAsWPHAvDQQw+h6zp33HFHo+bZ0XTIIO3333/P9u3bmT17tj9ACxAREcE999zD+eefz8KFCxvMqL399ttrbdM0jXvuuYfnnnsuaA0QIdqbXWWZANicPXHpCm+ix/9at0Y2DYtL7EpoeGSLzVHzaii7CvjESS/agNvwtd0dlDgGXQ9+RtW/PyR3NbBaIDUp6JAW90ulm2yP75tpAp5IiZYArRBCCNGOqGprnjqWFKKaXaWZ/seGPd7/uL6mYTk1moZB6wZpS1y+DmAaOnFh8Q2MBhRomu+PEKJl/G/3qhY57lkDT23w/Y7qNqbZ3m/jxo1ERkY2GFhtTgeCtMuWLfMHaX/88Ucuu+wyAI4++miWLVvGnXfeCVTVoz0QpL3ooou46qqrAo555ZVXMmjQIB5++OF6g7SFhYXce++9jBo1iuXLl/tLKpx11lkBNXLrM3DgQMAXPD711Kq/r3379rFx40bA19zrQJA2OTmZm2++mZEjR2Kz2Vi5ciULFixg2bJlrFq1it69ewPQvXt3/vnPf3LzzTfzz3/+E03TuOOOOxg7dixbt27lkUce4bPPPsNm65y3SXTIKMPSpUsBOOGEE2q9dmDboQRYLRYLAGZzh4xhi78Qr+FlT3k2AAl9f2LK2QX+QKhJKbrUFaTd8WfA8xarRwtwYA5mAj5xtuav8z8emhi8Hu0B6sAiu40+sb4ocfgfHxNuJcUqnw1CCCFEe6K8VY81SZ1sUPVM2gJ31VXwcGfd37vs3TsCnoeGRxIRFdv8k6tDWNGxeIa9SunoZ3hRuRocr5AgrRCicUpKSoiMPPSkpUWLFqGUalSw95hjjvHfHQ6wdetWsrOz/U3Bxo8fz//+9z+8Xt8vuOXLl9O9e3f/satnsFZUVJCfnw/A6NGjWb16db3v/c0331BZWcn1118fUPN22LBhHH/88Y36WqdOnUqfPn1YsGABTz31FDt27GDlypVMmzbNX+6hoqKqduHDDz/M448/zgUXXMBZZ53F//3f//HZZ59RUFDA3XffHXDs6667juzsbP73v/+RlZXFQw895N9+1llnMXnyZJYvX86RRx5J165dOe2009i1a1ej5t3edchIw9atvoZHwcoZxMTEEB8f7x9zMF5++WUgeBC4LuPGBQ8ybdiwgSFDhhz0XISoT07FXtyG7wMwrWc2E/qU8We5iUy7Lw3CUseitGYmbYuWOvACJuX7U822gnUA6JrO4MT6r4J6DdD1trldTSnFD6VVQdpzoqVRmBBCiEMna8fmZVQP0kombYOqZ9IW6SH+xxFOrc4zxOyd2wKed+neG62VIqBamcbfPrkAPoHf+3r5/Nb66w5fPx/2FUCvVHjzn60yRSH+ko7sNrpFjpsUltDg+3WPSmm294uMjKS0tLThgc0oLi6OwYMH+4O0y5cvx2w2+9cH48ePp7S0lLVr19K9e3f+/PNPZs6c6d+/pKSEu+++m3fffZecnJyAYzf02Zyeng7AgAEDar02cOBAvv766wbnb7Va+fLLL7nwwgv529/+xt/+9jcATjnlFC699FKef/55IiIi6j3G5MmTOeKII4K+X1xcXMBa6e233+bnn39m8+bN7Ny5kxNOOIFbbrmFadOmMWfOHE4++WTWrVuHydSxFwEdMkhbXFwM+GpZBBMZGUlmZmbQ1xqybt065s2bR2JiIrfddttBz1GI1nCg1AFAUkgSqW6Nqwo1PDEGTgho0nWA1+MhKyPwIka3XrU/nJuDbYkVZVJ4+ngxYqrOnpyeSnYV+wLF3SL7EW2PqfMYhuHLpNU1X6C2tRV6FSH7o8MacEaUtAgWQggh2puAmrQd8gyndR0I0mq6mcqwqu3JWt3Bzz27tgc879KtV4vMLRi1s2peZaGKqAZur0rPhPwiMHXI+0aF6Dg+Of/1TvF+gwYNYsWKFWRkZLR6yYNnnnmGzZs3s2zZMg4//HDCwnwfysOHDyciIoJly5bRvXt3//gDpk+fzldffcW1117LUUcdRUxMDLqu89BDD/H999/X+77Vm5U15bWa+vTpw88//8z27dvJysqiW7du9OzZk/PPPx9d1/0lDOqTlpbG6tWr8Xq9dQZYS0tLufnmm3nwwQdJTk7mwQcfJDExkfnz56NpGk888QR9+/Zl1apVdV4E7yhkCVNNeno6p5xyCl6vl7feeov4+EbUOtrvp59+Crq9o/+AiPZtd7UsiOSQZF8WiQk8vv8Flb17B26XM2Bbtz4Dm39yHrAtt6K5NdS3iuJHq65MphduwNh/X2L/+JH1Xum7d66JzCxIjIfFL3vrHNdSYs06H/eMZ4PDRZ7HoItFPjaFEEIcOlk7Ni+jWiNt3Sz3tzfkQLmD2JCujDAMtjp0ck2Qaqn75LxmuYMuPRo++W4u5Xox23oX0TenG5t7GkQ2kC4dHQFuD0S3XMsFIUQnMm3aNFasWMHLL7/Mfffd12rveyBIu3z5cpYvX84555zjf81kMjFu3Dh/mYMD4wGKior48ssvufjii3nqqacCjnnvvfc2+L69evkusm3evJnRowOzoTdv3tzkr6N3797+gKzb7eaHH37g6KOPJjw8vMF9t23bRnx8fL0ZsPfccw8pKSn+GryZmZmkpKT44wjdunUDYPfu3R1+HdUhry0eyKA9kFFbU0lJSZ1ZtnXZuXMnxx13HPv27eO9995rsBOeEO2BP5PWHY6log9ODyh9f4WBuvbZ9kfAc5PZQkqPPs0+N9MuE5rb96HpTTWg2ufztoLf/I8HJdR/i0x5GTgdGg5n22TSAlQqRW+rhfNjpNSBEEII0R4ZVX1T0eV6ar1cXhfZ5b5bY5Ot4TwW4eY+w8udeRr2OhaQbpeTfdm7A7Z17d56Qdrc1CwePm8VMx+u4NMJ7gYzaV99BF5+EJ6f10oTFEJ0aJdffjm9e/fm0Ucf5Ztvvgk65q233mowQzU7O5vNmzf7a7I25EDQ9bXXXmPnzp2MHz8+4PXx48fz448/snTpUrp27UqfPr7z9gMBTcMIvPvhxx9/ZOXKlQ2+7/HHH4/dbmfBggW4XFU1vn/77TeWLFnSqLnX5YEHHiA3NzfgzvTy8nLKy8trjX3//ff59ddfOfnkk+s83rp163juuef497//jb4/INC1a1e2bt2K0+lLPvv999/92zu6DrmEOVCLduvWrYwcOTLgtcLCQvLy8jjyyCMbfbyMjAyOO+449uzZw7vvvsspp5zSrPMVoqXs3h+k1fZO4KkvTkVDcfZphfQfW1ZPkHZTwPOuPfpgtljrGH3wzNuqZuDp7wl47UCQVtd0hiTWH6RNS1NY7ZAYr9qs8UOloYgz6YS1VZRYCCGEEPVSbil30FiZ5XtQ+L5fyaGJeACPFzRV9wXxvVk7UTWCAV26t165gxJ3AUZIOEoHjw7RDazJDOUrUyVNw4QQjREeHs6nn37K1KlTmTJlCqeccgoTJ04kKiqKzMxMPv74Y9asWcMXX3xR73HuvPNOXnnlFdLT0xtVNiExMZEBAwawYsUKNE3j6KOPDnh9/Pjx3HPPPRQVFTF9+nT/9oiICCZOnMjixYsJDw9n+PDhbNq0iZdeeonBgwezYcOGet83NjaWuXPncscdd3DMMccwffp0CgoKWLBgAUOHDmXdunUNzh3gsssuQ9M0hg8fjq7rfP7553z++efcfPPNAYHXrVu3MnHiRM477zz69++P1Wpl5cqVvP7666SkpDB//vygx1dKcfXVV3P11VczYsQI//bzzjuP++67j7POOouTTjqJp59+mr59+zJmTP29bjqCDhlxOHC1IdgVjgPbqtfqqE9GRgYTJkwgKyuLt99+m9NPP735JipECztQ7kAvT0NZDcomlpHTw0WmXvc/7pqZtN1botQBYN5WdYbkHlgVpHV4KthdcqAebX8ibfVnvV9/ncHNt3i57e/1N4hoKR6l8CpfXVq7dIsWQggh2qWATFpL282jIwgsl5WE0wsupWGu58ywZtMw3WQisWuPlppiLSWOfJSlqnZBVEMXzvf3M5CVmxCisQYOHMj69et54IEHyM7O5t577+WKK67ghRdeoF+/fnz33XdMnTq12d/3QOxqyJAhxMbGBrw2ZswYrFZrwLgD3njjDS644ALeffddbrzxRlauXMkHH3xQK5GxLrfffjsLFiwgLy+P2267jXfffZcnn3yySTGxI444gtWrV3P77bdz6623UlBQwJtvvsnjjz8eMC45OZmTTjqJ7777jnvuuYebbrqJ//73v1x77bWsWbOG1NTUoMd/4YUX2LVrF/fff3/A9r59+/Lhhx+SkZHB7bffTlJSEp9++ikWS8dfAGiqKVWB2wmPx0P//v3Jyspi5cqVDB8+HPAVEx43bhxbtmxh48aN9Ovn61ifl5dHXl4e8fHxAXVmawZop02b1uxzPVAPo666Yy3F8CgceQaeMoU1qkPG4kUjjHrnGHIq9hJTcCZ9wu7kq1N8txBYleLFMhV0YXrdGaMoLtjnfz79mrs46fwrmndiDoi8LxzN0FAWRfHjpbA/WTenbCcLf51LbvluTuw9g8tG3lXvobweKCyB5AToErzJZ4t5paCcJLPOMLuF/nYLiZaO3SlSCCH+qtpqPXYwOtJc25M195ax5zvf7aUj7g0l/vCOf6LWUl7b/CZ3rpwLwNW97kTLPZVSkyIqykufrsFv0f341QW89+Jj/ufJqT35vzeWtsJsfb7IWMg7aRPwRvhKLDwTEctUW91lqNweKCiC7l2ha2IrTVKITuhARuWBmIsQnUVjfrbbYk3WIW8GMpvNvPjii5x44omMHz+e6dOnExkZyQcffEB6ejrz58/3B2gBnn76aebNm8ecOXOYO3euf/uECRPYuXMnY8eOZf369axfv77We1UfL0R74vS62FuRC0Bq7z8Zd1gJX+0vchBvBM8cKC7YFxCgBejRd1Czz8283Yxm+Gbg6eX1B2gBksN7cN3oBZS5ikkKbzjqaihAg3rqiLeIUq/BI3tLcQPhusaPfRIkSCuEEEK0U9Ubh0m5g/rtLKuqLbvWfDgrNodhzjNxXN/KOoO0NZuGJbdiqQOAElc+yhLhf15fTdriUvjnIt/jCWPgkubPwxFCCCFaRIddwhx33HGsWLGCOXPm8M477+ByuRg8eDD3338/F154YaOOsXPnTgBWrlxZZ3FlCdKK9iqrLMtfTywpNJHd1YpuJdRRGaBmPVqA7r1bIEhbvR7tAE+t191eN3GhiSSFNVzY28BXH621Kw0sLXNy4DTFpmkMsXfYj0shhBCi05PGYY13oNyBAr5LicM5uwAAY7Wtzn2yd24PeN5qTcMUhL4SwgjtGPL1RFYOBzSIrSdIW1IG3/zX9zgqApAgrRBCiA6iQy9hRo8ezZdfftnguLlz5wYNtnbASg9C+O0qq6onlhSSxNZqubOJdQRpd9aoRxsTn0REdGzwwYegepC2ej1aAEMZeJQHm8mC1VT/rYhZWfDvF0yYzYoTJyvOPqP1/s1+U+rwPz4xwoZZmoYJIYQQ7ZZuBt3my6jVzVKJtD47S32ZtNaQrhRU+14dFh08i1YpVSuTtksrBWm1Qg3LZjOjmUS3fQYrR1SiAUl63Xc3OasalWNv/t64QgghRIvp0EFaIf7Kdu1fYGNYSLB0YWm185EkI3gws2bTsG69m79pmFasYdrnWzgb4QZGt6qIsdNTiaE0LJoFm8mG1kDL3dJS2LpVAzRGDPM2+1zrUuY1WFrm9D8/Kzqk1d5bCCGEEE13xEPhOIsMHPkGllAJ0tZFKUV6SQYAEbFDydm/PdILPeKCr7WK83OpLC8N2NZaQVrzzqpg7PbotVgc8UyI6EZMPXWw0lLhvSegqAz6tl5vMyGEEOKQSWqYEB1UeomvXIeWM5FnH72KTeVVi9XkusodbA8sd9C9TwuXOujrhWpr6G93vMH85dN5b9PjlLkKGzyW16thsfgCzrZWzIT4vsyJY3+cO8akcXKkvfXeXAghhBAHb38texFcTkUu5Z4KAKxRVevAJDeYtOAX+ffs2l5rW2uVOzBVC9LuCPuOEX88xrzw6Hr3MZsgJhq6xENs/UOFEEKIdkUyaYXooA4EaSnriVfXcEdWRWaTggRpXU4H2TUW2d37NH8mrXlb1ceKp39gqYP0wo1UuEvZtO9nouwNl1kYPFjx/HNeXC7o0oqdeT8vqSp1cHJkCDYpdSCEEEK0f1LJrEGh5hDuG3036/at59fowf7tiR6oq8xrVvqfAc/Do2JapFxWMNUzabfG/kaqrSfJpoZPYZUBaBKvF0II0bFIkFaIDuq2w2/kyOSxfFMZyb6wcnL3L6xNShEsnrknYyuGN/A2th7NnUmr6q9HGxfalX0Vewi3RhFlj2ncIZWvzpyl/vK1zabYa/BjtVIH06XUgRBCCNGhSGCublG2SM7qfTqHx47gCk+Ef3uyE/Q67lrKrBGk7darf0tOsYoD9BzfAtdhrqAwdh+j7Ec0alcFaJqv+awQQgjRUUiQVogOamBsf2zYGHByNms8+azaX1cgzghex6Rm0zCrzU5yas9mnZOeq6OX+t7dG2+gEgNTWs4e9DdKnGXEhISj19OVtzqlfCdbrXXC9VFxJQfaZiSYdE6IqLvTsRBCCCHaGcmmbZDb8OD2etihzP4F1p6V4XBMSdDxmelbAp6n9mydIK2224SmfBNUaWbmjn+JgZFdG9wvIwv+uxbMZjjpGIiNaumZCiGEEM1DgrRCdFBuw43bcGPSTGRWC2Em1FWPdltgPdrUnv3R62m6cFBMCucYF+atZjx9PbUiq27DjUW3EGmNbvQhD5SWa6DHWLP4qsTBI3urGmOcHmXHLCkYQgghRLtXtMmDq9jAXa6IGWRCk3zaOrm9bnajKNf3f48MSNODLyCVUrUyaVsrSOuuVupgVR+DI9CxaA2fvq7fAk+/7nvcPRmGtlLirxBCCHGoJEgrRAfl9nrwKA86ZgpUI4K0tZqGNX89WiNe4ZjqhJOcqPDaqSwujwu7xY7N3LguYBs2aqxarWGzwbTTDCJauEdFskXnwLfPosHV8eEt+4ZCCCGEaBar7yjDkedbe0x8J6KB0X9d3+z6Dk1p/KYiYX8pqdBinT5JnqDjC3KzqSgLzLBN7dWvpacJgHlXVZD2p94G43Udk95wgoHTVfXYJjdECSGE6EAkSCtEB7R67xp+y9uATbOTGtKTmZWK4wo1dkYYhAYZr5RiV41yB917N3+QFkDzaKgQBTUWxUWOPFyGIkKPwGpqXJD2zz9hyRJfJuuEow1owSCtRymSzSZmx4byfnElr3WP5fDQxs1TCCGEEG3LqBZjbESy5V+S0+vish+uw1AGIUPuhC6+0gEDbAZpPZxB96lZ6gAgJa0VgrQGhO0P0hqaIreHG5OmN+oOp6MOh7AQ8HjhsNaJJwshhBDNQpYwQnRAH6d/waLNi9F2nk3CztPoGqczYUIJXcKchEGtMgO5WTtrZUH06Dek+Sdm4KtPYCbg06WwMpf7ll1ApC2OiT3P5cKhNzTqcG531Rdia+Z4aaWhyPV46WE1U+Y1KPQaROk6dyZFcE9SJN1t8vEohBBCdBQJR5hxFCi8DoUupYqCyijZiaF89wyFWKOxoXCikeoCkyl4Md+aQdq4xK6ERbR8kVc9V8fs8K0Dd3Y1yHFv4l9bXuWxY59vcN+uiRBiB6vZ91gIIYToKGQFI0QHlF6SAYBW2oeCwjA2bAvB0MALBLsJbMeW9QHPNV2nR9/BzT8xL2BSYA5c6GcUbQSgxJnfpBOnKSca3H2Xh7v/4aF79+ab5spyJ6fsyOOq3YVkuTyUGgZJZhMpVhNpVrMEaIUQQogO5vC54Rx+bxiH3RLsniIBEGePZc4Rd3BG2ilcYeTyudXFXeVeRpRDXcuzzB2B9WhTerZSqYOMqhXt5p4G7oos/ihcT6jJ3qj91f6mBlKZWAjRFKWlpTz00EOMGTOG6OhorFYr3bt35/zzz2fJkiUBYzVN4/zzzz/o95o7dy6aphESEkJWVladr2/evNm/bdGiRWia5v+j6zpxcXFMnTqVpUuXBuw/YcKEWmOTk5OZPHkyn3/+ea33q6io4PHHH+fwww8nJiaGsLAwevXqxbRp03jzzTcb9TUVFhZy3XXX0a1bN2w2G7169WLu3Lm4XK5aY9PS0gLmd+BPWlparbGLFi2ib9++REREcPzxx7N169ZaYz755BNCQ0NJT09v1FzbK4lECNEB/WPk3zmmy9F8mN2b3DwPBcVm4hPduAA9yGo0Y8vvAc9TevTFZg9p3kkpwAPK4vtTXXpRVamFAXEjGn3IqChfcm5ICIQ2wzlXqdfgkdxS3i6q9G9bXFjBnYkRJFpMhJvkupUQQgjRYSkJytUnPiSOs3udycjYw3G6dHblWIgBLGh1NmitmUmb2qt1unCZqjUN29Tbi8VdSrQtBrPJUs9eVdSBnwX5gRBCNNLmzZuZOnUqO3fu5KSTTuK8884jOjqa3bt389FHH3HCCSfw+eefc9JJJzXr+zocDu6//36ef77hOwUOuPXWWxk6dChut5uNGzfy/PPPs2TJEr7++msmTZrkHxcVFcXTTz8NgNfrJSsri4ULF3LKKafwzjvvcM455wDg8XiYOHEiq1ev5qyzzmLWrFlYLBa2b9/OV199xb///W+mT59e75zKysoYP348mzZt4rLLLmPEiBH8+uuv3H///WzYsIH33nuv1j4DBgzgrrvuCtgWHh7YF+Z///sfs2fPZubMmYwbN44nnniCM888k99++w3T/kboFRUV3HDDDdx111307Nmz0d/H9kiCtEJ0QIPiBmDT7Ay8MJsKVxY7s81YQwzq6BlGeo1M2p4DhjbvhJwQ8XgY3m5e3IM9uCa4A17OKPRl0po0M31jm/beSoGmBQ8+N/4YiiWlTu7bW8JeT9V3yQxEmXR62MyY6jo7EUIIIUSHoCRK2yCX4cJreNi6O457H++OyaSYfFwxx08qqTXW8HrJygjMVurWs5WCtNWahm3qZXBy5PFc0vM0dK3hC+q79sCeXIiNgW5dW3KWQojOory8nFNPPZU9e/bw+eefM3Xq1IDX58yZw5tvvond3rhs/qYYOXIkL7/8Mrfeeiu9ezeuCcvEiROZMmWK//lRRx3FtGnTeOyxxwKCtHa7nRkzZgTse+mll9K1a1cWL17sD9J+9NFH/Pzzzzz88MPcfvvtAeMfe+wxMjMzG5zTv//9bzZu3Mhjjz3GLbfc4t/ev39/brnlFr755htOOOGEgH2SkpJqza+mTz75hF69evHKK6+gaRoDBw7kuOOOY9u2bfTv7/uddN999xESEsKtt97a4DzbO0kbE6IDcnlduA03Js3M27rOjb0UN0ZqfB2kbqthGGT8uTFgW89mrkdrTjehl+hYNlqw/GoJ+GRxeirJKt0GQLeofoRZw+s4SnD771arM8OjIelOD5fuLuTarKKAAO1gm5llfRJ4LCVaArRCCCFEB6eU8i0aRL3cXg8uw0PmXt8dVV6vRlh48Mv8e/fsxO0KbCiW2hrlDgxwj3DzZ18P2fEGe+MUUSjsjSx18NL7cNPDcPHtUFLawnMVQnQKL7zwAtu2beO2226rFaA9YPr06UycOLHe42RnZ7N582bcbne946qbO3cuSinmzJnTpDlXd/zxxwOwffv2BsfGxcVhtVqxWKruTNi2zXe+Xj3AW11qamqDx122bBlAraDrzJkzAVi8eHHQ/TweD6WldX9YV1ZWEh0djbb/nD02Nta/HeCPP/7gX//6F8899xxWa8dv/C1BWiE6ILfXjdfwoCkL2/b/Ky7XNYJ9JO3NyqCyPPBDr7kzaU1ZVdkOnv6egNd2l/zpb1LRO+Yw/4drY/zxh8avazV+W6dh1JUmXIcKw+CfuaWcnJ7Hj+VVNXBsGtybFMGa/okcGW5r2kGFEEII0T4dCNDKddeglFJ8uONTNhVu4UvDgpFiMOKIElJSnXRJql0rECBz++aA55qu0zWtb8tPVgfnBBcPXe/gqjmVoEG8Upj1YJ0Xaqt0VD2OCGuhOQohOpUPPvgA8GWZHoo777yTgQMHBq0xW5c+ffowe/Zs3nzzTTZs2HBQ73sgyBofHx+wXSlFXl4eeXl55Obmsm7dOi655BJcLhezZs3yj+vVqxfgq/3alABzdQfqzobWqFMYFub7IF69enWtfX7++WdCQ0OJjIwkISGBG264gbKysoAx48aN49dff+XNN98kPT2dBx54gJiYGH8W7TXXXMP555/PhAkTDmre7Y2UOxCig/lv9kr+yN9MmB5Gir03O6r9K07z1h5fsx6tbjLRvc+gZp2Tc5IL12A35l0mPIMDg7QZ1erR9osb3qTjfvixxoYNvij0KVM8DYyussnh5srdhWR7AiO7E8KtLEiJYUhI4+qZCSGEEKL981QqdrztwHAqdLtG95PkImxNWeV7uH753/HaEig65h3opgi7qJg5ORoJ9uApyBlbA+/ESk7tidXW/Lf6BqO8UKSD2h90j9PA1Mgg7aRxEO9LtCKkdaYrxF/WmddVPT7vJDg/SLnWuU/Db/uv+fTvCQ/fUnvMR9/BKx9WPX/9MQit8e93Zxbc+FDV81svhSMb3+6kXhs3biQyMjJo06rWcO+99/Lqq69y991389FHHzU4vqSkhLy8PDweDxs3buTGG28E4IILLggYl5ubS0JCQsC20NBQXn31VU455RT/tjPOOIPhw4fzzDPP8M4773DMMccwZswYxo8fz5gxYxqVaDVw4EC+/vprli1bFnDsH374AaBW4HrIkCFcccUVDBw4kLKyMj777DMWLFjAzz//zPLly7HZfL/LzzvvPD777DP/1xYREcGiRYsICQnh1VdfZf369bz77rsNzq+jkCCtEB3M+9s/5p1tH6Btm00vbRIFV1WlC/QMkm2avjmwHm1KWr+WWWCHgXuUBxUduNDfVVzVcKJ//PAmHdLt9v0ysFgUTenp1c1iwlNtGilmnUe6RjE9OgS9rvbFQgghhOiQPGWKLS/41kNh3XQJ0gaxqdC3HvNEV5W8ClUQ4tXQ9eC3K2X8GZjRldbM5bLqU2GAt1pQ4KM/niCu/0wSw45rcN8Tj4ah/SEhhiatH4UQTffTuqrHdQVMN22vGueuI+8mOzfwWMHuoqxwBI4pKG78PBtSUlJCcnLyIR9n0aJFLFq0qMn7paamcvXVV/PEE0+watUqRo8eXe/48847L+B5eHg4c+bM4dprrw3YHhMTwzvvvAP4smqzs7NZtGgRF198MYZh+EsRWK1Wli1bxhNPPMHbb7/NBx98wPvvvw/4gq+LFi1qcE5XXHEFzz33HFdffTVer5fhw4ezbt06rr32WiwWCxUVFQHjP/vss4DnM2fOpG/fvjzwwAMsWrSIK6+8EgBN01i8eDEPPPAAOTk5DBw4kMjISIqKirj11lt55JFHSEhI4Nlnn+XZZ5+ltLSU0047jUcffZSQkGZult4K5NeWEB3MliJfAwdT/lj+9FbVd40yFNFBxqfXWGD37N8CC+wDGbxman2q7CryXTaNtMWRHN5wLZvqTjvV4LzzvMy4wAhak9ZpKJaXOVle5gzYVmooro0Pw6LBTQnh/DEwiQtjwyRAK4QQQnRChrvqyqwuKShBbS78EwB39GH+bb3dvioRwZZHSqk2DdLaPBq3lxkcsW8loVv/zcZ9P1LprWh4x/2U8n1dsvQTQjRGZGRkvXVRW8M//vEPwsPD+cc//tHg2IceeoglS5bw3XffsXbtWvLy8pg7d26tjFer1crkyZOZPHkyxx9/PBdddBHffPMNAwcO5JprrqGgoMA/NjIyknvvvZeNGzdSUFDAV199xcUXX8zmzZs57bTTAsYGM3DgQD780JcOfcYZZ5CWlsbZZ5/NrFmzGD58OBEREQ1+XXfeeSeapvH111/Xeq1Hjx6MGTOGyMhI/9jevXtz2WWX8fbbb3PLLbfwj3/8g8WLF/PFF18ENC/rSGQZI0QHYiiDrUW+YuBWFUN5t6oaYt2ClDowvN5a5Q569m/eerQAeEBZFMoSmEVb7Min2JkHQI+oAZiaeOZ0+AhFaneIj6ndOGyTw83VmYVkuQ0Os5sZFmLBaSjcKGJ0nVmxoZwfE0J/e8cvHi6EEEKIuhnVyudpZilKG8ymgtqZtH08dd+pVJSfS0lhXsC2VgvSesECDAB+L1pLSIbvNtaEkMRGH8IwfAFa6Q0rRMsaN7zqcbcuwccM7A2u/Z/T/XsGH9MlMfBYwS6whNoDx8RGNWGiDRg0aBArVqwgIyOjzUoeJCQkcOONNzJ//nx/iYC6DB8+nMmTJx/U+5jNZiZNmsSTTz7JypUrOemk2jUqoqOjOfHEEznxxBNJSUnhwQcf5PPPP/dn3tZl6tSpZGRksGHDBkpKShg4cCDx8fG8+OKL9OvXcOPJsLAw4uPjycvLq3fc6tWrefnll1m9ejWapvHSSy9x1lln+Usi3HnnnVx//fU8/fTTHS5RS4K0QnQgWWV7qPD4sghGnP4vdgx4gA37O2SkeWvXE8vM+BNHZXnAtl4DhjX7vDQPKBu1PlF2l1SVOugZM/igjh1skf1DqYOb9hRTbvi+5j+dHtyGIkzXCNd14swmokxak5qUCSGEEKJjMqrdPiuZtMFtLvoTwxyGN6KXf9uqhfF0H1tGZP/aV/prZtEC9Oh7cGu5prB/acWUYcLTw4v7GBcVzqrMrYSQpEYdw+UGNNBlGShEi/vw6YbHzL2u4TFnTPL9qU+PlMa938GYNm0aK1as4OWXX+a+++5rmTdphL///e88++yz3HXXXZxwwgkt9j4HmoM1Jnt47NixQO2asnUxmUwMG1YVc1i/fj179+71ly+oT3FxMXl5eSQl1f15bxgGV111Fddffz1Dh/oS0DIzMxk5cqR/TLdu3XA4HOTl5ZGY2PgLfO1BxwopC/EX92fRNv/juPB+/FGt/9XhQer7bNv4a8Bzi9VG9z4Dm20+WpGGZZUFrUAHE7WCtNXr0faJPYyDUm2RbSjF0/vKuDKzyB+gBRgXZiPebKKPzUyazUy0WZcArRBCCPEXUb3cgSZB2locHifbi9PxRA0Czdd8SyvVKdocQkhI4+rRJnbtTlhEM6at1cH8pxnzTjP25TYMp0bZ/iCthk58SHwDe/tMmgXTb4abH2nBiQohOpXLL7+c3r178+ijj/LNN98EHfPWW2/x/fff13uc7OxsNm/e7A+CNlVUVBS33XYbP/30U62arc3F4XDw1VdfATBihK+Q8Lp168jJyQk6/pNPPgF85Qyayu12c8sttxAZGclVV13l356Xl4cRpPDw3XffjVKKk08+uc5jPvPMM+zbt4958+b5t3Xt2pXff6+6g/j333/HarUSH9+43xvtiSxjhOhADtSjBSiJHomxPxAZbSh6G0CNuOS2jWsDnvfsfxhmS/Pd/m/ZZCbkY18TMsdxThznOQNeP1CPFqBfXNMzeHP2QnEpRIdBsdfg73uKWVqt/my4rvFKtximxYQe5FcghBBCiI5OMmnrt614O17lDSh1ELXXTFioQZek4IGEmuWyerRGqQMX6Pt8OUTKrnB1Nyjbkw9AlDUaq6nhhnBuD3j2JwbL5XohRGOFh4fz6aefMnXqVKZMmcIpp5zCxIkTiYqKIjMzk48//pg1a9bwxRdf1HucO++8k1deeYX09PSDLptw/fXX8+STT7JmzZqD2r86h8PB4sWLgarGYYsXL2bHjh1ceuml/hIE3377LXfddRcnnngiRx11FImJif66tN9++y3jx4/nlFNOafD9jjjiCI477jj69u1LcXExr732Gn/88Qdvv/02XbpU1cNYvHgxzzzzDNOmTaNnz56Ul5fz2WefsXTpUiZNmsSMGTOCHj8nJ4d77rmHRYsWERYW5t8+Y8YMLrnkEm688UZSU1O5//77ueCCCzpcqQOQIK0QHUr1TNpdYWn+x8PdwW/p2l4jSNtn8OHNOh/zVpP/sbd74K1ySil2l/iaVMSHdiUmJK7Jx7/1NhMej0aXiQ7yzisk0131Hj2tJt5Ni2VkqHRwFkIIIf7KAjNpJTRXU1XTsKpA6+RuDsZfn4PFUrtcFtTOpG2VerRWKLm7DPM2Mz+i8Z2us6vnRVh2f0i04cCkmxo8hMfjq1lZUgZ901p8xkKITmTgwIGsX7+eZ555hg8++IB7772XyspKunTpwtFHH82jjz7KxIkTW3weoaGh3HXXXVx3XSPqRDSguLg4oI5sSEgIAwcOZMGCBVxzzTX+7WeffTaVlZUsWbKE/2/vvsOjKtPGj3/PmT6TTDoJPfSOWABBULFR7L3L7lpWX+sW3UV9Rdf26rrNsv7suCqWtWDvighio0mXXkKAhPRkMu08vz9OJjOTSR2CAXJ/risXmTNnzjw5OcA997mf+3n44YcpKirC4XAwaNAg7r//fm688UYslpb/DR49ejRvvPEGBQUFeDweJkyYwNNPP83o0aMT9hs8eDCzZ8+mqKgIXdcZNGgQDzzwAL/73e+wWhtPVf7+97/n6KOP5owzzojbPn36dAoLC3n88ceprq7mjDPO4F//+lcbztT+Q1NKNf4/s2gX48aNA2DhwoW/6PsaIUVtsUGoSmFPO/DuHojGTXv3LH4qXo1l/ivU/LELVV7zr+9N1QaHN5gtUFVRxjWnxFev3vCXxxl9bGJj8KSEwXt3ClqthtIUFfdXodKj/5wU1+zg3nmXAXBEtxP404RHmj1cpWGQGnOnyzDg4kutVFxQim9CfF/dKakOXuydSZa15f8ohBBCiI6Kx5JxII11f1H0fZBvf1cFQJdxVg75k6eFV3Qud//wAP9v1fOUTHoXLC4AZlQadC23kJGW2I+2vLSY604/PG7bzQ/9h5Fjjtn3gw0ABtyWpbG1rgIhZdlMjlR+njzhxdYdIgilFdC7G3TN2YdjFaITWLp0KWAuVCXEwaQ113ZHxGSSvRPiAGEog3XlG6F8MFrJobhv68aRb6UyrdZgaGJ8zcbVSxO29R9+eOKOSbIU6Gi1ZvBsdDPiErQQ34+2T8bQJo+jlOJtfw3nlxexPRSiRhlUKYOKkMHRx4Xx9I1Ow7MCd+Sm8n6fLEnQCiGEEAKIb3cglbSJ1pT+TNiTX5+gtSpFfgisTXwS3LJuZcK2X2LRMDAXo8UCpTG/Rt1fRKaj9TOyDGUuOisLhwkhhDjQSLsDIQ4Q26oK8IV8aJX9QQujKQsjPGFGBsDVSBC6rkGrg6wu3cjIbt2quK1hXR/95yM0MHHVsqLq7fXfD8gc2egxygyDv9aUszBo9pmdG/QxTXdjwewpd95lITZUaRQDAx1Wnu2ZwVEp0t5ACCGEEFGx7Q6kJ208pRQrS1ZjpA5GCwdQFjs9lUILalisjU+o3LBqadzjjJw80jJ+ocVXwhpBp6IyZgFYvbaY7C5jWn0IZZgJ2gOwFaEQQohOTsIYIQ4QP9ctGqZ6vsPpR6bTL3glKiuErYn9N6xcEve43fvRro9WsgYHJyZpJ/e/lKHZEyn176B/5oiE538I+vm/6nJKVbRPw8ZwiJ4WKxbMxR6ChsZZePh1upvf9HThtki0LYQQQoh4RszaV5p8uomzo7qQ4to92GsXcMLyO6jZ9Bjb91h5yadzwbnFjb5m/cr4xWr6Dz30lxgq1M0Mq2wQ3OqBEjKdre9bYKi6RcOkklYIIcQBRsIYIQ4Qa0vX1X/fy9OTNEsYn8fA3si+RjjMhgbtDvoNa8cAOwCWLWaSVlkVoYGJ/RaUUjisHkamjSfFnlq/PagUT/oqecNfE7f/eJuD+1IyyIlZFKJWgxMtbnqlgFu6GwghhBCiEUYotpJWMnOxlhYvr/++X1pf5v/kprbIxjZ3GJczsZLWMAzWN7jRP6Ad22U1xbrWgtIg3C1MTWyFb8iHpsJkO1tXyfvDcnjkRXDY4ZoL4eyT9tGAhRBCiH1AkrRCHCCW7zH7gxn2DCwpQ6mtVii98b/EWzespqaqIm7bgHaspLVutqCFzQ9B4fwwuBL3CRkhLLoFm8WGVjdlrUYZzKwqY1EoUL+fHfid28uVzhT0hvPS6iohpKeYEEIIIZqiYipppd1BvKXFP9V/n586hFXZQWpqdLpkBxttB1C4dX1CDNnes7Ea4/zAgWWXBWVTGH+ugjxzuxY2b+rnuFvXsqukHNZtMb+vqNoXIxVCCCH2HQljhDhARJK0Wo9TmZHVDU86TAxpXBxIrIJYs/S7uMcOl5v8QYktB5LVUj9agKARxKJbsVtsKKVYEgrwSE0lW2JW9+inW/l7agYjbIl9Zleug9/9n1kJccW5cNNl7TZ8IYQQQhxE4hcO67hx7I8iSVoNjT4Zg/j1tTuh1Ep5uRWtsTUNVsS3OrDa7OQPHL5Px6hValh2RWZoQUWXaGyrhSJJ2i6tOpZSkOqBWj+4ne0/ViGEEGJfkjBGiANAqb+MrVXboXQkPuf5AFRbQG88P8qaZfFJ2gHDDsdqbap7bdtZf47pRzskcRAfrnuereVr6Zk2iLOHXMG/G2lvMMXu5KGUTNxNrOpQ7YPKavMrEGx0FyGEEEIIekyxk3W4ldpdBpZGZvd0VmEjzE/FKwi7upHr7ord7qUmAOEwOJxGo69ZtyJ+4dn8gcOx2fftoq3WDdG4Mtw/RK0VqBueFvYBkOPKa9WxpkyEcaPMRcN6d2vngQohhBD7mKzCI8QBYMWeVQAY4WPxdXfXbx8dbLyX2NoGSdrBo8a221i0Eg3LTjOYNtwG4T6JQf7a4h9ZU/w9X2x8GZfVw/F2J7EtZafanTzSTIIWwG6DAb2hRy5kp7fb8IUQQghxkLG6NFzZOq5cHbtXPt5ElPrLGJDeH3+fS1h72ENcHHbwmbIQMjSs1sQYEmB9g0raX6QfbexitINC1Kpoia8W9uG2puC2tj77biizVZZF1jMQQghxgJFKWiEOABoah+eMYkFqNNmaWwv9G4mvCzb9TFVFWdy2waOObLex2FbFtDoYFk74V0QpRVXAfP+8lHywOklXisucHhYG/Zzh8PArpwdLMwlagFFD4LE7IGxAfvd2G74QQgghDkaN5xw7tWxXFq+c9Bzji0pYB9Sg4TEgHNJwuBJPWFVFGTu2bojb1p5rGjTFuiEmthwSpjbmOS3kI92RgbUNzYaVAZpGo+0chBBCiP2ZJGmFOABM6DaOvmn9GFPqp7pu20Sj8Wlqa5Z+G/fYZnfQd/DIdhuLbWX0n43AIYl9CDRN49cTnsNfsQWPzUa5UmTrFv7Hlcpt7rTExcGaYai6ILtdRi6EEEKIg5lCFhttqDTkZ2PMfKYlr2XiSwlzwqSKhH03rFqSsK3/Pq6k1fZo6KVmbGikGRhdDVI16K8URf49eFGM7nJU/SK0rWEoQJK0QgghDkCSpBXiAPGFP8gezQyyLQqODTe+3+oGrQ76Dzus/XqJKQjnGui7DbSARmhYYj/a+YbGU8rOdHc3xnsycWoaXk0nK5k5Z8rsKdaGvK4QQgghOiEppG3cd34/4brb3VqNxpbvUkgd4ms0tlq9JP5Gf3ZeDzKyc/fp+GzrYqpoB4RBhzHACN2g1pGKI7UPQ7sf1erjvfYhrNkEWenwv9cAsniYEEKIA4gkaYU4ABgYvBkwoK4SYmgtpDWyn1KKtcu+j9vWnq0O0KD2VD/+4wJoQaCR9mBvKw2laXxhcTFFt5Gp6WQkmWU1FFilEkIIIYQQzQhWGgSrFUZIodslaAAIGkGCRpCFgRCRj3zubTY0pZGX2/iKrKsWL4h7PPiQ9lvToCnWdTH9aIdGx2UACgObZsGqt/5G/4LF8P1yM3a858b2HKkQQgix70mSVoj9XHWwmupwiHnhaKJznB9oJF7dumE1FaXFcduGtOOiYQCEQDkURk5izcpOBbvqqjW2ahbQbfS0WNGTyLK+/Tl8thDcLrjnBkjts9cjF0IIIcRBaOWjPra9FwBg5C0ucsfbO3hEHW9B4bf8+vNrqB39CHgHAXBKfx/jb9kOKjEuq6ooY/PPK+K2DTu89RWsSQlH+9EqTREaGp0mpgCMMBZdR29Dkrairi+YxwU2+aQrhBDiACOTiIXYz72w9hUO+ew6quuSn9YwHGI0Pqlv+XdfxT22O130b+cFH7SgZt7esSU+92PMsLKD5Yx2epJK0AKs3wo/roB5P4C/8YIPIYQQQghCNdEARHdKJS3Awp3fE1BQ5smv3zY0pLBZISU1cV2D1UsWolR8fDl0HydpLdt1tFrz9xXuZqDSou9fHSinzF8MhsLaWGVCE/55KzxyGzxyu7TLEkK0XWVlJffffz9jx44lPT0du91Or169uOCCC/j000/j9tU0jQsuuCDp97rzzjvRNK3+y2KxkJuby9lnn82yZcvi9s3Pz4/b12q10qNHD04//XQWLFiQcOzS0lL+93//lxEjRpCamorX62XgwIFcdNFFfPTRR60a37Zt25g+fTq5ubk4HA6GDh3Kww8/nPB/BRA3ttivY489NmHf//u//6N3796kp6dz9tlns3PnzoR9/vWvf5GXl0dZWVmrxnowkfuLQuznfty9BF+XY+sfO9Y6SOnua3Tfn76PT9IOPXRc+/WjhcjcM/Nfjgb/eqxV8Iah16/ylVa6DK3rsKTfKhCTmPW4kz6MEEIIIQ5yjgwddzedYLXC5pEkLUBXdx55vU+jxGLGgU4U+SGNSqVh0ROTtCsXxX/I79arH5k5eft0jNbYfrSDQ/Ux5AYFc4t+ZMnWt7DW7OCf4//GBPexrTqm1wN5XaBXnrTLEkK0zZo1a5g6dSpbtmxh2rRpnH/++aSnp7Nt2zbmzJnDSSedxPvvv8+0adPa9X0ffPBBunbtit/v54cffuDZZ5/l448/5vvvv2fo0KH1+/Xr148777wTgFAoxKZNm3jqqac45phj+Prrrxk3bhwAZWVlHHHEERQUFHDRRRdx9dVXo5Ti559/5r333sNutzNlypRmx7Rjxw7Gjh1LaWkp1157Lf379+err77ixhtvZOvWrTz00EMJr5k4cSJXXXVV3Lbc3Pi+5i+//DIzZszgxhtvpG/fvtx///38+te/5sMPP6zfp7CwkDvuuIN///vfpKent+VUHhQkSSvEfm5U9giWbNvFWruFcE6YHgVW9J6J+9XWVPPz8h/jto0cc0z7DiaMuWqZNf7uWa2Cfxs64Ug0bIQYZ9Ts1VvNuAouOwMcNuiavVeHEkIIIcRBbMTv3fjLDGr3GNjckpkDmD7kIj7NLGBV3Rqvh2BASCNsQGNrua5a/E3c431dRQsNkrRDoovRvmrorOl6EnQ9iZQV95HpzGr1MQ0FugZt6JAghBBUV1dz6qmnsmPHDt5//32mTp0a9/zMmTN5+eWXcTrbfzXCU089lcGDBwNw+eWXM2jQIH7/+9/zyCOP8Pjjj9fvl52dzSWXXBL32lNOOYUxY8bwyiuv1Cdpn376aTZu3Mgrr7zC+eefH7f/v/71LwoLC1sc0/33309hYSGvv/46Z599NgBXX301OTk5/OMf/+Dyyy9nyJAhca/p27dvwvgaevvtt5k0aRL//Oc/AfB6vVx++eX4fD5cLnPBm9/97neMHj2aiy++uMVxHoxkEogQ+7nfDv8NT405jzuDhYzbZOG09ECj+61aspBwKL4vwIh2TNK6XnbiesuBdY01YQXl95RGaaT8wQiTsvxujvE2kkluI6sO3pTGP0wIIYQQQtRTdV+SowWgKujn81D0ZOx5N513P0inrDSxRqekaCeFWzfEbdvn/Wh9YNlmfhRVNkVoQLQfbW3Mbj1ceXRxd231YZVRl6SV60AI0QZPPfUU69ev55ZbbklI0EZceOGFHHfccc0ep7CwkDVr1hAMJt+v78QTTwRgw4YNLewJXbua/z7abNFehOvXrwfg+OOPT9hf0zS6devW4nG/+uorXC4XZ511Vtz2Sy+9FMMwePnllxt9XSAQoLq6usnj+nw+MjIy6h9nZmZiGAZ+vx+Azz77jDlz5vDvf/+7xTEerCRJK8R+riZYS3EwiCvFzkWeEAPyG0/S/vTd3LjHXbr1IrdHfruMQasB23Ir9sV2XG85E2rwv49ZgMK16QUcu+cxNHPEXr+vwpyqJoG2EEIIIVqkZIp7xCZ/DdmYiU89DOVfpvL1Ai81NYkf/1b+OD/usabrDDl03D4dn16tEe4TRqEI9QtDTHeu2CTtRf0uIc2e1qpjllfCfz+GeYtg47b2Ha8Q4uD25ptvAmYl696YMWMGQ4YMoaCgIOljRJKs2dnx00lDoRDFxcUUFxezc+dOvvvuO6688kocDgcXXXRR/X59+/YFzIraxvrHtkYgEMDlcqE1+E/V4/EA8MMPPyS85r///S8ul4uUlBR69OjBnXfemZCsHjduHB999BGffPIJ69at429/+xuDBg0iPT0dv9/Ptddey5/+9CcGDhyY1LgPBtLuQIj9XGEgQGnIwGLY0YI6dne40f2W/zAv7vGIMUcn/KOaLMsmK5phHis0IBQXSCsFe2L2te/6kgxHFrmeve9jpgyzIEY+cAkhhBCiOcowYxKppIXVpWtJ1z08rIr4UUvjzSWZ7A5pKE3RJ9+fsP+Sbz6Le5w/cDie1NYlRpNlZCuqL/WhVWo0XBcsdoQpmo5Vb91H1u274OEXzO8rz4GJR7TPWIUQTfP+lFwy8pEe6UzP9CRsf76kmuu3lyV1zIqR3ZN6HcDKlSvxer3k5+cnfYxklZWVUVxcjN/v58cff+SGG24AiEu8AixatIicnJy4bdnZ2bz77rscdlh0sfArrriChx9+mBkzZvDYY49x9NFHM3bsWI499lhGjhzZqjENGTKEtWvXsmLFCoYPH16//csvvwRISEKPHTuW8847j379+rFnzx5eeeUV7rrrLpYuXcqcOXPq97vhhhv4/PPPmTx5MgBdunThjTfeAOCBBx7AMAxmzJjRqjEerCRJK8R+yK8UfyovZ7x/G1malxJ/CHfYTRCwNPK3tmDzOnYXbInbNnLMse02ntCwEJU3VGFdayXcK36xiUogGPOJyFK7m76Zo9C1vSvUf+UD2L0HenWFm6bv1aGEEEIIcbCra3fQXjeoD1Sl/jKmvHMmdt3OuK7HcubwG7nryAqK82tYt8GJ2x0fxwX8tQkLz44alzhFdl/QQhoqU6HS4yu9YpfHTdUsrf6dVsbMsE33tsMAhRAtqjSSq9QMNvGyoEr+mHujoqKCvLy9LzKaNWsWs2bNatNrIr1kI7Kysnj88cc55ZRT4rYPGTKEhx9+GADDMNi6dSuPPfYYZ5xxBm+//TYnnHACYLYQWLRoEX/961958803mT17NrNnzwbMZOoLL7zAgAEDmh3T9ddfz9tvv83555/Pww8/TP/+/Zk3bx633347VquVmpr49We+/fbbuMe/+c1vuPTSS3nxxRf5+OOP65Oybre7voq2vLycYcOG4Xa72bhxI/fffz/vvPMONpuNu+66i5deegmlFBdddBF33HEHlk7SA1GStELsh56sruaJ6hqeMNJwr/iZgd86OHpgTwYNrG10/x+++jDusc3uYOhh49t1TMoLgYnBhEC6JOZ7LViBFq6lf/qgvX6/1z6EwiLokQe/+9VeH04IIYQQByEjpNjxeQAjZJbROsd07m5uX26fR1iF8YV92K0eQkqDEGg69OoZTJidtGrxAvy++A/bh084cd8PNIyZWLcRV0mrVHwlbWobel4NzIe7roeySph4ePsMUwjROXi9XiorKzvkvZ999ll69uyJxWIhOzubIUOGYLUmpuq8Xm99IjbivPPOY8CAAVx++eWsX7++vjdtbm4uDz30EA899BBFRUUsWLCAWbNm8fbbb3PmmWeyePFi7HZ7k2M67rjjeO655/j9739f/54ul4uHHnqIO++8k9TU1BZ/rhkzZiQkacG8mdqwncF1113H6aefzoknnsgDDzzAI488wn/+8x80TePSSy/F4/Fwyy23tPieB4POHcUIsR+qMAwerKwyH+hWVGVfCn86htffysJuMxp9zY/zPop7PGL00TjdidNHkhYbSDf4/yJfg8e1MFN3vE/qktsAGJQxdK/fsrYuQnc5mt9PCCGEEJ1XqEax5C81LLvPx8/P+Fp+wUHu021f1H8/LG88bh0CAZ1AQMduT4wjF83/NO5xdl4PevXf+ziuRQFQdoWyq4abUTEztD7Z2PjiNI3JTIOxh8CUCTCoT3sNVAjRnFRdS+rL1sT9F5uW/DH3xtChQykvL2fz5s17dZxkjBs3jhNOOIFJkyYxYsSIRhO0TfF6vYwbN46tW7eybt26RvfJycnhjDPOYM6cOVx00UWsXLmS7777rsVjT58+ncLCQn744QcWLFjAzp07+dWvfsWePXta1TM20jqiuLi42f3eeOMNFixYwD/+8Q8AnnnmGa6++mqmTZvG1KlTufrqq3nmmWdafL+DhVTSCrGf+WdVFcWGGURroWo87/cAIC83iKORhOXuHVvZsm5l3LbRxzS+ImXSQubKuw0D6QirBr6SJdjKVwAwpB0WDfv7n2HbTujWZa8PJYQQQoiDVKg6GptYnJ271UEgHOBdw0XVsD+RvfNLurgH4lBQ5tcIhjTcrvgkrWEYLFkQ34/20KNO2LctI+qGoIU0lEdBg0Ku91X8e3stbbtbrwyzNVgnmRUrRIfbmz6wjZme6Wm0V+2+dtZZZzF//nyeffZZ/vKXv/zi7783IotztaYS+Mgjj2T27NmtXtjMbrdzxBHRBt/vvPMOhmEwZcqUFl8bWQAtNze3yX2qqqq46aabuPfee+natSsA27dvp2fPnvX79OzZk23bOs9qkFJJK8R+ZE/Y4NGqaEMt5+ZXsR97HL/+1TaOO7a80QW0GrY6sFisHHrUCYk77gUtoJlVtE3MiAgDOyvMf4TdVg/53r0vXxiQD8P6wyGD9/pQQgghhDhIhWJm6ltcnTtJ++3OHynrfir+blMoOOwBZu9M5ZZbe/Lam5mUlljRG3zy27BqCeUlRXHb9nWrA+dHDjyPubEvsqKFiPs0Wqhgjopu0ELVdHVmJx6kGYYBukbCzyqEEM258sor6devHw8++CCffPJJo/u88sorfPHFF40+F1FYWMiaNWvqE6f7WlFREd988w0Oh4OhQ81ZEAsXLqS8vDxhX8MweO+99wCzv21bVVZWcvvtt9OrVy/OP//8+u27d+9O2DccDnPHHXcAcPLJJzd5zJkzZ5KXl8f//M//1G/r1q0by5cvr3+8fPlyunXr1ubxHqikklaI/cgj1VVUKrMiRAuU4dr6XwZmjaJvT1AkrsYLia0Ohh42vt1W5LV9Z0MLQGhwCJVGwuq7ACEFvnAtxdXm3a0+3v5YG1vdrI1UXZDduT9uCSGEEKI5oZrYStoOHMh+4IVdPxHOPc18oBS2Hz2UlNr4/kcbh46qSdj/+7nvxz12p3gZdMjYfTdAA2xLregVOtYCC8ERIegS/f390KCK1rXxP+T0nNTqw/+8GUrKoEdX6CMBpBCiDVJSUnj33XeZOnUqU6ZM4ZRTTuG4444jLS2N7du38/bbb7No0SI++OCDZo8zY8YMnn/+eTZt2lQ/3b+9FBcX8+KLLwLRhcOeeeYZysrKuPvuu+v7xL700kvMmjWLU045hTFjxpCRkcHu3bt54403+OGHH7jwwgs55JBDmn2vqqoqjjzySM466yx69+7Nzp07eeaZZygqKuLjjz/G7XbX73vffffx1VdfcfLJJ9OrVy9KSkr473//y+LFi5k+fTrHHntso++xfPlyHnvsMRYsWIAec2ftkksu4f777ycrKwtN03jqqae49dZb9/LsHTgkSSvEfmJP2ODfMVW0rs2vooVrGZw2hlBIw+FMbDVQvHM761cujtt2xNEtTz1oFQOcX9jRy3XUR4rKP1ejvPFjWKVgu9LoVrkJVTd/rX/a3i8aBmYLXE0qIYQQQgjRjNgkrbUTV9Iqpfg0GG1nMJgQWUFwOg00TZHfK/5mfygU5JtP347bduj447FabftsjPoeDYLm7yicEybcJ779wjRNkUOYt8vWUlr0Da4tr5E76MJWH/+xl+D75Wb8uL7xQjghhGjSkCFD+Omnn3jsscd48803ueOOO/D5fHTt2pUJEybw4IMPctxxx3XY+DZs2MCll15a/zglJYWRI0dyzz33cPHFF9dvv/rqq/F6vXzxxRfMnTuXPXv24PF4GDZsGP/+97+56qqrWnwvu93OsGHDmDVrFrt27SI9PZ0TTjiBmTNnJvSjnTRpEqtWreLZZ59lz5492O12hg8fzpNPPskVV1zR6PGVUlxzzTVcddVVHH54/EqPt956K5WVlTzxxBMAXHvttcyYMaPV5+lAJ0laIfYT/6qKVtFag1U4t89BQ2Ng6pGEAhoeS+JiD19/9EbcY03XOXziSe0yHus6C3q5mSE1Mg2Mbonv/7yhU4iGNWUwatxzpC6+hYEZbZ860VC1D75dCmEFVqv0pRVCCCFE4+IraTtvknZx0VKK04bXPx5n0Tjn/D0cP6mcbQUObA1yryt+mEdFafxiLkdNPnufjtHIUVTeXIVtrRXlVAmN96wa9Af6b36Jlbu/ASDX3foprkWl5p8ZXll4VgiRHK/Xy4wZM1qVFFQqsYhq1qxZzJo1q1Xvdeedd3LnnXe2at+2LGg2fPhw7rvvvlbv3xi73c6rr77aqn1PP/10Tj/99DYdX9M05s+f3+R7/+1vf+Nvf/tbm455sJAkrRD7gbXBIP+qqqp/7Ng8G8vya3HVHMJmWz4DBvgTKkoNw+DrD/8bt23E6KNJy8xplzHZfoxG84ExwYRWBxUKCuuaEYR0K66iBej+IgZnDtvr9y4sgtv/ZX5/yWlwxPDm9xdCCCFE5xSXpO3ElbRPbplLuFu0R+B43SAY0FAKcrsk9kZseKM/IyePYYeN3+fj1JRGcEQIlZaY3Agps81VZa2ZPHZaXKTaU1t97HOnwOqNkOmVmVhCCCEOTJKkFaKD1RgGvy4tI1D32Gv4sW76EG3zZ/iDacx512DGzTsSXrd22XcUFcavcnj0tPPaZUxahYZtlfnPg9IVgXGJwf3GmO9tgTLc65/GptsYkL737Q5iuj7g/eUX9xRCCCHEAULaHYA/HOB1R3TR1m4qTC8dygIagYCOwxGfEK2uLGfx/E/jth114pnolkYWH2hPYcDAXIy2kU+hwbrNFf49AGQ6s7Hqrf+4euokGDsSenWe9WWEEEIcZCRJK0QHc2gaEx12ltStADms4G1+rsoE504IpjFyRA0pnsRWA/M+iK+iTfGmc9hRJ7TLmOwLbWjhuirZoSFUdmK1w4aYxR30shUA9Ezpg8vmTti3rbrnwu+mm4s/HDlqrw8nhBBCiINUfCVtBw6kA92//QdqssbUPz7fUNT4NIJBjVBYw2ONjyMXfvY2oWAgbtuEKfu21QEAAVB2hbKrhJVhw6ouSavClPvNvgWZDnPRmNYyDLBYwLqPc81CCCHEviJJWiE6mK7BTW4PbgM2Bf18ve45SK3FM/lXnOV4gy7Zia+pqarg+6/iV5Ycd8Lp2Ozt0IArAPbvoq0Oao8LNLrbxpgk7Xh3Ht17nU0vb6+9f38gJxOmTDQXD+st1RBCCCGEaEKounNX0lYaBg+rzPrH+cEKjAVduP7tTIYP9THhqEoy0sP1zxuGwcevPxd3jL6DD6F7/oB9N0hlfmkhDZWqoEG4GlbwP4ZOFtAj7CdsS0EPVpDlalsLr3DYTNBapNWBEEKIA5T8FyZEBysLK0pDBpMdTsaXLsQfrgVgWPoEevdQ5HUJJbzmy3dnE6j1xW07euq57TIe+xIbeo35T0Ooe5jwoHDCPiEF62Lf253HmX0v5sx+F7TLGKCuGkKXQFsIIYQQTQtWxSRpPZ0vSXvLnp34bGkAaEaA39ttzP/GSzCos/QnN25XfBy3dOEX7Ny2MW7bpNMu3KdjdD/vwvW6A61UQzkSFwwrBHxobEfjB92FFjJj3Gxn65O01T6orDaLH/Z11wYhhBBiX5H0hxAdKIiiNBSm1FBk6DqfbH63/rlhKcdhd6iEhQ9CwUBCBUSfwSPpPbAdVtcywD4/ZsGwY/0JC4YBrAVq6+ap2VEMCPuxWaw4rPa9H0NkKIYE2kIIIYRoXqAsmqS1eztfknZT8RIwzFlPI8qW00+zcMjIatK8Ifr28ZOVGZ+k/fDVp+IeezOyGX/imftsfPoOHdsaK/bFdlKedptVtQ3sjPk+I1yDpswWYFmuLq1+nzmfwenXwtk3wOKVezloIYQQooNIuwMhOsCWUIhlwSBjrTbKDQOXrlFWu4vv15QBg8npUk2ubShOe2Iv2m+/eI/Sop1x206+4Ldt6tnVFOs6C5YiMytqeA0CYxOreAMKnjCimeORgCUcxGZzY9NtCfsnY2cxlFVAjzyppBVCCCFE0wLlMUnatM6VpK0IVLJp8f+Sbssk0Odifpd7CFYrnDq1jDFHVFFZbYm72b9p7XLWLP027hgnnHkZdodzn43R8XX0Bn5gdBAaWbpgV0wLLW+wnPK677u4clv9PkUl5p8+P2SmJTNSIYQQouNJklaIDnBHRSWv+XwcZrVxhdPN0U47z69/G23JPVjLh6L1XI+ljxWLJb76QSnFB688GbctO68HRxw9pV3GZZ8fE0hPCEAjhbGPGDplMas9eEt+ZFVtKUfkjcFuaZ9K2nseh0UrzUraDZ+2vL8QQgghOqdAWfSGtq2TJWlf3zCH6mA1lmA1J5WvoFv+JAB8fp1QWCc7M/5m+xvP/C3usc3u4PgzLtln49PKNWzLzI+bSlP4j/c3ut+umO+dtUXRJK07r9XvNaQfHHkI7NgNXVtfgCuEEELsVyRJK8Qv7D1fLa/5zF5bi0NBdqkwhgrx+lcFaOVDAXCpXLwppQmv/X7uB2zbsDpu29Tzr8Bi3fu/ypatOrZ1dYG0TeE/JnHBMKWgEkhBUVWXqF3y070sC5YzsfR4/t7l/+31OADKKs0/vangaL8OCkIIIYQ4yIy+P4XKzWGqt4c7XSXttP7nsiOoeHfdK5za5wwA/AHw+zUUEBserly0gGXffhn3+olTzsGbnrXPxuf4xoZmmL+T0PAQRrdGeh0QX0lr8+2o/z7H3fps6+QJMHIQZGdAl8yW9xdCCCH2R5KkFeIXtDUU4pqysvrHQy1WznE60TS4+bSjeVz7B6VLLuGUKWEa5l1DwQCvPflA3DZPahpHTz2vXcbm+DS61G7gyCCqkalimgZ3Wgx2GbASDVfJEl4LmvUO/dMHt8s4AI4bC927mNPVGvbkFUIIIYSISOllwerWcOXqWGwHf9CglOKp6hrOcbnYEwzTP+sofpc6BK/ehf++lc6Y0ZWEQjpOR7TC2DAMXv73vXHHsdkdnHbpdftuoH6wfxe90157YuLN/4jYSlqqt9R/28XVtdVvpxSEDXDYSIihhRBCiAOF/BcmxC+k0jA4v6SUYsMMmh3AfampWOqykAPTD+WqSX0oP7yYnjmehNd/PudFdhdsidt26iXX4nQn7ttmAdDqOisom6J2SuPT0QAMZSZrT9QUbm8+mcP+yLaqzYzuMm7vx1HnV2dCYTH0bP0sNyGEEEJ0QkoplKFoh9b8B4Rna2q4sbycv1dVcYUWpnu4inS7h3fezuDDT9P58NM0zji1lLGjq+tfM//jN9iyLn41rcnnXk5Wbrd9Nk77t3a02roq2vwQ4QHhRvcLKCiJaaMVrFgHQKotDbfN1er3C4XBZpEErRBCiAOb/DcmxC8gqBQXlZSyNBis3zbDk8JAm7nQVjAcZGepj/LKMF28KQnVo+Wlxcx5/l9x27LzenDiWdPbZ4B2qL7Mh22FFS2oobIan44GYAB63ZfXkc7IrNGM73Yc+ek922csgGGARZNFw4QQQgjRAgOUQadI0n7j9/Pn8goAtoTDvEuI68JBrNY0vl9k3rS3WGDggNr681Gyu5CXHvlL3HFS0jI49eJr9t1AA+CYF11MtvaEADTx+9kd870NxY2Dr2RdyRpS7G4smqVVbxcKQSAINivY22cNWyGEEKJDSJJWiH2szDC4urSMz/zR6tSLHE7Oc7upDYRYsVaR07WKPeVBbLodlys+M6mU4rmHbqWqoixu+7lX3tx+q/GGQQtqBA8LodKaTtCCmaS11H0BBIwgdt2KXW+/qDhsgG4xP2gIIYQQQjRFKUBh3j0+iL3vq+XCkhIit/stoSqOKV+BN3sIDhv8758KeOu9DFxORWaGWbWqlOLpB26hpqoi7lhn/upG3CnefTZWx1d29GrzFxLuFiZ0aKjJfbfG9KPNA/p6++HWU+np7Y7Wysz77PfhhbehZ1f4v99DjvSkFUIIcYA6yMMZIdrGVwt7ysw/AWp8UFVT9wGgGUqZd/Fj9/MpxczyCgbv3MXbtbX120+w25mRkgLAX55fzc33eLjzsXJ2FofISrVjGPHHXvDxmyz6+uO4bX2HjOLI409L9sdMoNVqKKdCuVQ0+9qIQgWbFFQr0BSEjRAaGnaLHYvePhnV2gAEAmYVrVTSCiGEEKIpRkhhhJVZSasfnKW0SilerK7hopgELUYQ94r/o6Z8OxWFWWxdl0rJTjcTxlVz7NHRhOyHrz7F8h/mxR1v4MjRnHDGZftsvPoeDcdX0V60vpP9zcaWW/062WVWvNUW+muKsBHCqllaXUULsGmbGa+v3gBpqXszeiFEZ1dZWcn999/P2LFjSU9Px26306tXLy644AI+/fTTuH01TeOCCy5I+r3uvPNONE1D0zTmzZvX6D7XXXdd/T5r1qxJeH737t3ceuutHHLIIaSmpuJwOOjXrx+/+c1v+P777xs9ZklJCQ6HA03T+PjjjxvdpzkLFizgpJNOwuv14vF4mDBhQqPHmTt3bv3YG37deeedcftWVFTwm9/8huzsbLp168Ytt9xCMGYWcsSZZ57JlClT2jzmA4lU0h6E/H4oLoJQBaT/wlN+/AHYsBVKy82eUPndITd737xXrR+KS6Ci2lxgKicr+aReRRX88JNGwS4z0eoPmFPubVbz50hxw5D+iiH94qfT+QOwfC2s36LhD4DDDv17K0YMMqdbvVnrozwmczvWauOvqV4sus6a7cUs/GK4eZydffAVlFBQbFY1uNICpHetYU/xSv7zr5lxY7XZHVw146/oe7uiVqRvQaTA1wG0UJj7gdL4Spnve1KghME7PiLX1Z1u3tavvtuSdz6HR16EHnlw/++hy75bdFgIIYQQB7BtHwRY/lANthSNnqfY6Xvu3s8wCgRhxy6zx2l2BqTvg4LTQNCMl7fv1FAG5OYoBuaDK2b4Sim+DgS4p6KSrwPRRbfcyqDHyr8xvGQ8XSsuokDTCYY0QiFAB2u/ClKz/Pz49ce88vh9ce9rd7q4asbf0PfVVCU/uP/jQguZwXJwUKjJKtqQX2fPulSGFdvpqTR8QJYnRFmfEnSPBWsbxtirG/TqCmWV0KdHe/wgQojOaM2aNUydOpUtW7Ywbdo0zj//fNLT09m2bRtz5szhpJNO4v3332fatGnt+r5Op5Pnn3+eo48+Om57IBDglVdewel0UhtT9BWxYMECTj/9dMrLyzn77LO54oorcLvdbNiwgddff53nnnuOlStXMnTo0LjXvfTSSxiGQc+ePZk1axaTJ09u9Vg//fRTpk2bRm5uLjNmzMDj8fDyyy8zbdo03nrrLU47LbGQ7KqrrmLixIlx20aOHBn3+Oabb+aNN97gtttuo7KykgceeICsrCz+9Kc/1e/z/vvv89FHH7FixYpWj/dAJEnag0goBN9+D+vWm98bAR2nTXHoCBjYZ9+///adMO97jWBMLLZ0FXhT4NBhir4926dPVDAE3y+Dpas1KqvNPmS6DpnpcOQoxfCBTfclq6qBtRthZ5G5Q/dcRbdc+PJbjdq6ZGWND8rqihB0HbIzzdf98JNGRZXiyFHmc/4AfDRPq983sm3lOo1tOxWjjzK40Ofh65+gS4WNbk4LY3toMFSBE7p3sTH4xJcJrTybAb18pNujnwJ85XYqixWvv/QIvurKuJ/hnCv+SPf8gXt3Ev3gec5F4LAgoSFhlEeh3KrJfmERpTFT0moqN/LSz08BMNPxV/LT8vduTHU2bjM/GG0u2DcfjIQQQghxcAiUGagwBMpbmPIUo6zCnDGV4obUlPjnlq0247jYWDYvByYeoXC3fg2rZpVXwifzNWp80W2FRRor18Fx4xR52TDf72dmRSXfxCRnAfqU2bhoZQqhor8TDlopMTTszjA2ZwilgcVQFK5JZ6u2htf/37OoukKBvK5HkJrak2NOPYfs3HzM/hDtzAD3K04su8zkqnIqfOf5Gp23aYQ0CpdmEKyx4AHsmB9KVUWAH34M48jfTIY7hVxP64oALj0dTpoAWelmwYQQQrRVdXU1p556Kjt27OD9999n6tSpcc/PnDmTl19+GaezndoNxjjttNP473//y6OPPorLFf3P5v3332fPnj2cd955vPbaa3GvKSgo4PTTT8cwDBYuXMgRRxwR9/zdd9/No48+2uj7RRKzY8eO5b777qO8vJy0tLRWjfX3v/89drudb775hl69egFw7bXXMnr0aK677jqmTZuGtcEKjuPGjeOSSy5p9rhvv/02f/jDH7jlllsA6hPjkSStz+fj+uuv59Zbb6Vfv36tGuuBSpK0Bwml4JPPoKAwfruvFhYu0QiFFUP775v33lMG2wvhu2UaNquZ2AwEoaQcjDCUlMHuPRrZGTBqqGLYgOTfSyn4cqHGqg3giwluDcOsqp33vYY/oDhsuPm+4TBkpJnJ4cLd8MW3dZUGdYpLNeYvMgM6u808fnlV9PlQCHbvMZ+z6LBstcagPoqMNLOCNpKgrVSKUsOgl8VCGMW23bD2ZQu1lakcHsl9arC0ENaugPHHhsjo4ub84VNYY9SS6nTHJZZDwSCb1q6gb5/zWbPifZQye4sNOmQsU869PPkTCBAEz39cWDdbsW624pvsxz/V36p/Dcpivq+p2lj//eCsoQn7JqtHVxjcF3YWwYDe7XZYIYQQQhxkXHkWXLk6vl0Gdm/zd5p3FcOPyzWKS83HmmYmYI8cpUj1wFffm3GeUuZMKrfLjGl3FplJ1VOOU1jbUIBaUga79oCuQfc8MymsFMz9Nj5BGxEMmjHuOVMVS4PBhATt1MIUDl2SQigARlDHMDRQGoFaC0G/js1hEDQ0wqEgZSUejhw/k4C/AtBJ9fbAm55Dly7d2brMIKN7Nel5jQxiL2g+0IvMjKzSFNXTazC6N54MrtjhIlgTPZkKM1auClRQUL2dytVVdO+6hv4ZrfvQEAiC0w5ZrcsxCCFEgqeeeor169dz++23JyRoIy688MIWj1NYWEh5eTn9+vXDZmtdhdpll13Ga6+9xltvvcVFF11Uv/35559nzJgxDBkyJOE1f/3rX9mzZw9PP/10QoIWwGKxcOONNyZsX7FiBYsXL+aVV15hzJgxzJw5k1dffZWrrrqqxXGWlJSwYsUKpkyZUp+gjbzXhRdeyC233MK8efM47rjjEl5bXV2N1WrF4XA0emyfz0dGRkb948zMTHwxCZ97770Xu90eV1l7sJIk7UFie0FigjbWstUaA/MV1nb8jVfVmEnRohKzXUBVtRnwupwkBJ81tWYA9eNyDYdd0T/J5NuOXbC1MD5BG6uyGr7/SWPDVuorY21W6NNDsWl7fIK2/ueoNsfbJct8jarrCRsMmQtYaXW9ZjXMpPdH8+D8k2H9FththNkSClNWV6mQrmkYfo3SEo1w3XvVf2RQEA6Brwbmf2nBlQ6lxRk4whZCPg1CBjZniGCglk1rl+OvrcHpyiSv6xEU7viO7LweXH/XY3s/RU1BXccClK4wuoVbbHMQURrzfXnZagA81hR6peTv3ZhiXHIqHDsaunUBTztVrQghhBBi/7VzF2zeYt4cz8mGfn1pVcza4yQ7OWMtlK4MY09pOklbXAqfLtAIh6PblDJv4H8wV8PthFUbzJv+kYxhpJ2W02FWv27aBgPyWx6Trxa+/kGjsCi6TdOgb09Ffg9zSn6sSIISwB+EnzYbHNPDjgOzI1XvQDHZP7/D2F1/pDZgDlyh1RcAmH9ohPwWDBXA76vCZk/FotvpnX8CVpsLw/Dj8qTgr9YI1irCQR3dovDmJE6fTZZyQc0ltbhfchIYFyR0aLjJfat3RwPPyM+vA0Fl9h9MDfcmQ2v9dKpIyzFn45/9hRCiRW+++SYAl1++dwVRM2bM4Pnnn2fTpk3k5+e36jX9+vXjqKOO4vnnn69P0hYXF/PBBx/wj3/8g6KiooTXvPnmmzgcDi6++OI2je+5554jNTWV0047DZfLxfjx45k1a1arkrSBupuHbrc74TmPxwPADz/8kJCkveGGG/j1r38NwIgRI7j11lsTevmOGzeOJ598kmOPPZaqqipefvllTj/9dADWrl3LQw89xAcffIDdfvBPlzigk7Q//PADM2fOZOHChQQCAYYNG8ZNN90Ud/ehJYZh8O9//5snn3ySdevWkZKSwqRJk7j33nsZMGAvSj5/Yes3Nv98IAgFu6B39/Z5v2AIPvnabDcAZnAEZnBbWgEos/pA180KAq1uDE4HLF+r0a+XarIlQXM2F0QX9YqllJlQDYWjC09lpEXHumS12c4gKz3xdUqZFbe1fvMYYD6OfN+wBqCwWOPxFbWsqtLj+s0CFITDpFRZMZqIS5Uyxxiu0vDVOkAz0DUNFIQCOrXVIbZvXUIoFK2ecLmzcad4+eODs0jLzGndiWqOBXxn1cJ7DoIjQwTHNr3ibiyfgsqYfgglZSvQgT7e/tit7fePZSgEFosZbCdzjQghhBDiwBAMwmdfwsZN5g1zZZjJ2cwMmHoS5Oa2fAwV0nBm6ziaqaRdujo+QRv7/oW7zRg1HI7GfJpmxrB7yiAv24xLtu7QGJDffJsApeDzbzT2lCVu37BVY2eR+XoF7DEMCsNhygyDcXY7CggpWLMdPAGNK0MpbKl6jW9+/itd/eeyy19Cqt4FTVlAmWNUKhpPK6VQhoau2zDCBmnpfbDZU0DTcMR8qDXCGv5qKyUFblKza9sn1jJAq9EwMgyqbqpBZTR/noxQ9E0jSyToQJYjB7vuxFAhchwtl8VW+8wZb047pGRKklaIjvDNdZUt79SCnlPt9Dy58b/A2973s+3D6Gfj8Y/um9UBV65cidfrbXVitb1Nnz6dq6++mh07dtCtWzdmz55dvzDZI488ErdvZWUl27ZtY+TIkW1qvxAKhXjppZc455xz6tsqXHrppVx99dX8/PPPDBzYfEvFLl26kJmZyXfffYff74+riv3yyy8Bsw1DhM1m4/TTT2fatGl07dqVzZs388gjj3DhhReyc+dObrrppvp9//GPf3DqqafW96o97LDDuOuuuwD4n//5H84999xGK3QPRgdsknbu3LlMnjwZu93OBRdcQFpaGm+++SYXX3wxmzdv5tZbb23Vca6++mqeeuophg4dyvXXX8+uXbt49dVX+eSTT/jmm28Smizvr4KBlvcJJC6Ol7SNW6lP0IIZKBpGtPoUoolTXTOrWSNBYEWV+VpvSuJxWxIImseNFa5730jCVdPM44fCZgWEYZhJW78/eqc9dty6xWzLEApBZEZC5GeI7ANgKKhFsV2FKNhgYNcV9nC00VYKGu6wjhHUEsYYOR9gJmQVCkIWNE0njAbKwDAMlHKQkTGY8vJNBAKVgEaXvFGcM/1fBEvzKKgxSM32mUF1MuuGBUGr1VApippf+1Ce1r90R8z3ThVG8xcD0C99UBIDaWaIIfN6aY/+xUIIIYTYf83/Bn5anjgDq6IS3nwbfn0ZNPz8GVns2WYDI6gwggpdB83SeLbRHzBnYjVU7TMrbBtZPBqIxo/llea6B40leRvavpOEBC2YichKZbBut6LKZlCuGcS+7eZwmBylU1mhUVqhE14fwPBVkWMcyyibHy2Uil2lo2s64XD054wkaqO1uBoWi52amiI8KV3RNC1mBlY0OFVKw19pJ1hrwe5qxQ/WkAKtRENlKQiB5tNQTgUuzDUOWohRbZ4Qfp+FnwE34MWc1OWwOtHQsdssdM1ouQDg4/nw12dgSD+47bcwML/tP4oQYu/sWdK6gp/mZB3adFqqZqfRLu/RkoqKCvLy8vb6OLNmzWLWrFltft15553HDTfcwIsvvsgtt9zC888/z8knn0xWVuIq2hUVZs9Fr7dtC7h8+OGH7Nq1i0svvTTufW+88Uaef/557r333mZfr+s61113HX/5y1+44IILmDlzJh6PhxdffJF33nkHgJqamvr9jzrqKI466qi4Y1x++eUceuih3HbbbVx22WVkZmYCMGTIEFatWsWqVauwWq0MGTIEi8XC7NmzWbx4MS+//DIlJSXcdNNNfPHFF+Tk5HDrrbdy7rnntukcHAgOyCRtKBTiiiuuQNM05s2bx6GHHgqYzZzHjRvHzJkzOffcc1ushP3yyy956qmnmDhxIp9++mn9nYDLLruME088kWuuuYavvvpqn/887SEjA7Zsa2GfVvRpCoVh83bYUmBWHGRnmqvNpjRI5m0tjA+E7VaoDMVXnUZCRqOuejQ26WYYJMVmM19rKDP5ayjiFneAaJha4zPbLNgsdQupKbO1ga6ZSViLxUwGelxQWWUGuk4HaLq5b+SHMIAav/mn0sBwaKT6LKzvVkO/QjcZmkYvi4VUXScYgJJGxq3iJrNFF+iKJJbNL/NNHc50MiwDKS/bjNOVTv9hh+F2p2CEwB/S8VenUl3mIK9/efOJ2hDYVljR9+j4JwXQagFDQ7nrFglzxgypFQpiFg1LC5QROe0D04cQDsP27bBrl/n7ycqCnj0TP1i1ZOM2SEsBl0MWfhBCCCEOZtU1sGRZYoIWzLho125YtBiOGm9u27IVli03twN0yYFh/SHPDbqt6YAmFEq8wR8MmhWYTcWj9ftr5jgz082YuKGyCnNB2pJyc10GX62qLxjYGApRqRRVhkHkI6tuBUdAJ9igYGx32MBVaSFQaxBUfoLKj1Wl4yWL4b5rqPHp1OoaDq8RFzPG09Dqqg8CgQrSrL3qErQajS0UFg7pKKPtZbSWzRYcX9ixbrFQeW21mZh1KXAplJtWxZbe7j4Kih0E0SgHqlFEiqYViqwufpyOxOm0sYIh+M8c8/vVG8yKZyGESJbX66Wycu+rgpOVlpbG6aefzn/+8x+mTZvG4sWLueOOOxrdN5Kcbet4Z82aRVZWFt27d2f9+vX128ePH88LL7zA3Xffja43f5ftjjvuoLKykkcffZQ5c+YA0KNHDx555BF++9vfkprafKWz2+3mxhtv5Nprr2X+/Pmcdtpp9c/Z7XZGjRpV/7i8vJw//OEP3H///XTp0oWpU6eyZ88e3nzzTb7//nvOP/98evXqxdixY9t0HvZ3B2SS9osvvmDDhg38+te/rk/QAqSmpvK///u/XHDBBTz33HPcd999zR7nqafMlenvueeeuFLt448/nsmTJ/PRRx+1qux7fzBkEPy0oulgMzvD/GqOr9ZsYRDbKyuy2uzRo1Vcq4SE6fwxAZl5V7/B05pZgWC1mj1r21pFW1oO3yzW2FVsjjMYNN+zYRwY6c8VNqJjsFrMKWuhoFkN4fObiVowk76eVIVmh0qbueBCZprOjtq6xCnmn5HTGtbBXatjC2sM6Ks43GfBEbPwgaabP2ckiaxig2KN6KAUGCqMhg6aQtOi1bdaXeluds5g3F5wehL/mvrK7ZTscKNr4K+xolsUKZl+XCkBrFst2FZZsS21olfpKE0R6hsi3M0AjzID6SQSoAUx3zt8BfVJ2n7uUcydCzE3zSgqgvXrYfRoyG5l0FywCy69xbxOLzsDfje97WMUQgghRNuVlMDP682e/14vDBoAKUnMeGqtUMhMwJaWmY/rPxOqmJZTCuYvhIEDoagYFiyMvl6FFbuLYNcOOKQvjGhm4pvTad6Ej6xVAFBcFl1voMmJ+XVxYKBuEdliv8GPFWEq7Aa7QmG2LrNStdpGUEEXO6S5NSqrNQJ1s7YqAhpBNLCBZjdQOhg67E4PkOqzogEZmka6CkJ1NRU1HjRlxcDATlqk6yxoGqkuRSBYQ01lEJvVBZqGpulomk58NKyjaYrs3P5YLFZU3Q32RlsaaAq7q+3VabalVmw/m7Gp60MHNdNrzdiyDa0G3JkBVvTwkb7dTMSmR8aowO6upfeAILqWWD0WNw4r3PpbePAZGNqPfbZAshCiec1VwbaWO6/pxKA7T2+X92jJ0KFDmT9/Pps3b+7QlgfTpk3jpptuIjs7m2nTpjW6X2pqKj179mTNmjXU1ta2quVBSUkJ7733HoFAgEGDGp8J+/nnn3PiiSc2exyLxcLf//537rjjDlauXInD4WDUqFF89tlnAK3KnUXOb3FxcbP73X777fTu3ZurrrqKHTt28NFHH/Hpp58yZswYxowZwyuvvMKzzz4rSdr9wdy5cwE46aSTEp6LbGtNBezcuXPxeDwJJdhAfZL2q6++2usk7e7du3nuuefqHzd297vhtmT2qfF1p7R8BKCZfanCoAyFxeqnpmwhT22pbuI45p/ltWMJhOt6njZ4+xe2GaQ7P8eim+UONYEh+ILRSuWQkYahnCisRNr/K2XUHTtM0AizvbAcnVqc1pU89tTPrf65DOWiKng8StnrHjsJk4F5+er1gzWXUQBlGEA0cVpdG8BQCh0HoBGsDREiaCZgfWCUGywKfkPRrh0cYRtEvtWLIhNUJgorCjAwCKswKmxg1cDuq0XN+ogN2lYczkFAH0KGharqcqrLPeTm9MHlTEHXI+NoGB2rhM1mXzENZYSx2sDpdmG1hYmmiKMvDfl1dq1Jx2UJmdPMAhq+Wg+e0jD5G2uxxLZrUBr2RTZ8g2pRTlqcgtaU2Eraqj2L0QCHxUn5hoFxCdqIUAh+/BGOPz7aRqI5j71kJrd3l5g3G/Z2fTTRNMOAVWtgzVooKzc/TPbvByNHgKf5whUhhBC/gIaxI7QuNmzLNgDDUJRXDqO6plfDV+BNXUWKe0u7vE/s9pra3lRVDyYYSicYilQQKDQtjFKRyk/Tnj1h/vVIIUo50PRaVAiClYpgpUK3g8WjsWmzwVfffoKu+evfp8IwqFWKMBBWCi08DN0YbMZ+WLCormj1saLeaJSm6u7WKxTry3ez7ItKgl8E+Db0FUdYJtDPMhiNMKAo1gxKS1TdK11UVINbQRhFmDApKkSZsQeFn8KyVzH0THKsw6gIQ5kRJtXWB5fdjUYQu91df8M+em7AYXcRDut12UwNpcxurpqmzLhfGXVtvHR0i6d+IVwN0PTE34snLRCdkRUCrUpDr9DQKvS6PzX8UyKLTgBhIAjB4SEc39pRVkU430ClqDZ/ovxewed9a8jJCNKv0MmIGp3a8C62aHMZ0MuLw5742QyiiXanw2yB1rMrPHefueZEC8VfQoh9ZF/1iI3oebKjyX617emss85i/vz5PPvss/zlL3/Z5+/XmJNOOom8vDw+//xzrr/+emzNfIg+88wzefjhh5k9eza/+c1vWjz2Sy+9RCAQ4JFHHmm0rcNvf/tbnn/++RaTtBHp6elxebRPPvkETdMazdE1FKnizW2m8fyiRYt48skn+e6779B1ne3btwPQs2fP+n169uzJtm0tTCc/AB2QSdp169YBNNrOICMjg+zs7Pp9mlJdXU1hYSHDhw/H0kg2KHLslo7TGhs3bmzVX5z24E3rTb8Bp5GVNYRwOMCOgm/YtOHDuv6mTUtJ6cbkaU+D1vTdjDWrvmbl8v8A4HbncNK0p7FYzMRpWnpfnE4z0NZ1K8ow0HQLSoXqA+bysq2sXjWbxT/8q00/04hDrmDg4L5x2ywWJykp3fB6e4JmIeAvp6ZmNw5HGi53VlzFQDBQi8VqR2khDBXGYrFjCesoFOFQLTWVBQSXvc+mHx9hU91r+vadyilnvIoe6W+mQqhQAKVCBJWipGQNuwp3M/fzaO9jq9VJKFSLzebhhMmPk993Mk5nOppmbVDBoDCMcF31Q5RhBMBQ2ANAlpnsjkxD2xMIsUu3MHyTuT3ksaAAS1X8tVvjslLYzUGP7WYUuydzJ9+4/XxXHmLbJg+uQU4sKvrXvrwyhL8u4E1PV9it5n8EvTXFkCUFzJ9nPs4d8TU/TYr2ewkW7cS56CF6pfZjS60toUp7wzYz+e90mG0Q+vSJPvfcm7BpO1h0mHld3RlRcN3F5orH5ZVwxcHXWma/YRjw2Rfx7VFq/bBiFWzaAqdN27fVU0IIIVr2S8WO/QeewSGH9gJWNvr8vC8fp2j3snZ7v569jmHMuD8D67HZUsnregRafVWoGXOYcaOZdAyFfFRVO7Db06iuqqaqagfBYN2iCDVAmfnt8qWf8/PaNxLez25PpU+/qfTo6aZ7j27YHWnY7W4sTj2mvFQ1rE2gvuBBhfH7K/EVrcaqWbACp6ZOxuPJw1L/eg2wYNQlT0Gh1SVRdUBXOgRDpIedrFn1Nss/n8lywGZzk91lJLpmoXefExl12P9gs6c2SNAS8x5m66xQ0IfN7sG8624QCgVQ4RBWmxvdYkGvu1OvgBAKTYGlVkOLdtvCEjbIWhbA8nYKzgBYm2h7cGdpEVsvcJLudtYPQ2UZHHqKj0UDg5RnBcnUHGYCF7hIN/jymUIqy5xYHD76THqV5bnHU+LuAUDI7yFkOAhmmPFrUUaQkHMLvbfMZvlqF0WrjjX3O3sXl0yITuFbsxHueBi274JbLodjx5htMjLSIScDcjIbHb4QQrTalVdeyWOPPcaDDz7IhAkTGk02vvLKK3Tp0qXZBawKCwspLy+nX79+zSZZG2OxWHjsscf46aefuPjii5vd95ZbbuGll17i5ptvZtSoURx22GFxzxuGwWOPPcbxxx/P0KFDmTVrFvn5+Vx33XWNHu+dd97h9ddfp6Kios29bleuXMmTTz7J2WefTb9+/eq37969my5dusTtW1JSwt/+9jdSU1OZOHFio8czDINrrrmGa6+9tr79Qbdu3QBYvnx5fSXwihUrDroqWjhAk7Tl5eWA2bejMV6vtz7TvjfHiN2vJePGjWt0+4oVK1r1+vZSUb6FJT8+0vKODWRkDmxiLlTMPhnRiuKamiK+++Y+xo6/FYvFjr+2rD5J668tp7R0HZqm4XJl1yUv/Xz8/uUUF5vnw2p10r3nRFyuLKqrd1GwbT6G0fjKDT16TkjYFg7XUl6+kWCwmlRvD4qKlmMYAWpqinC6oklas5o3jMViVtFaNTOprOkKI+zHUGFcrixGHnIFOTkjcbuzCQSqyMoehmGE0C1WNM2Cptmw2234/eWUlv5MKFiD250TN6ZQqBaAYLCazz6+hqHDLmHU4dfhTeuF1WpWRYRCPpQysNk8dUF49JzbLC48AXCEFDv8ZbisYPg1/EGNWgzC6TZ0peF3aHEdbmMZmqKgq5Ufst9hWfpLbElbg2XuO2gFo6iyFVCqNfgYkmqDupufsWtqqECY8KZqSn4+AYAi7/Ok/PQXqkaafXEsJaXo208nmAWVXRLbV+wpM5OBKW7YvgNSYv6aLVwCy9eZbSiuudCsng2HwW6Hf8wwp69ltqJ/skjO+g1N96+uroZvv4cTOsfCmUII0aH2h9hxwMAzmn1+4KCz2jVJO2RY9ENnMFhJKFSL3Z4SExOpmO/N6fw2qwddt+D2dMHu8FJVWUB19c644zpdiVPjPZ48jj7uwfp4ze8vJ9XbC6vVhVJmVjFSSBCd+RRlhAMEQzUoI0h29nBsNje6bkHXHXWvj8ZU0dYDdbGnudXcR9OwWJ0EApUU7oj2bAgGaygs+BYAR0yhQ6L4iK+sbANoGplZg1G6hlPZ0HUnYUOB3Y+hNAhZQSn8FoUjrGOJtAALGGgKnH5FeY6H2lSDzJIg6WWhRuNKz47+VHn3UNVge8HUyKw1C7GTqdaW+9m+vgtGeV+UYzc7B7xPRfZ4gs66mLnBjFwtWImx9HY+q9qEVnwelsLJ5m41AXZHFnlQUFIO2+p+5SvXw6QjITfb7BUsMaMQoj2kpKTw7rvvMnXqVKZMmcIpp5zCcccdR1paGtu3b+ftt99m0aJFfPDBB80eZ8aMGTz//PNs2rQpqbYJZ511FmeddVaL+3Xv3p05c+Zw+umnM3bsWM4991zGjx+Py+Vi06ZNvPHGG6xdu5YVK1awYsUKFi9ezO9+97smj3fmmWfywgsv8Nprr3HFFVc0ud8HH3zA3//+d0444QS6dOnCqlWrePLJJ+nZsyePPfZY3L5Tpkyha9eujBs3jry8PDZv3swzzzzDrl27ePrpp5tMBj/xxBMUFhbGVTT36NGDY489lhtvvJEdO3awaNEiVqxYwaOPPtriuTrQHJBJWtH+QuHaFvcJh/1xjwt3fMeH700nv89kMjIH0bffVEARCFRhsdgxjFB9EL196zx69j6GYSOn4/F0xZvWi2CwhkiAGzj0Ghb98E92FHyT8L5mgrVxPl8xbk+X+sA4HPYTDFThcKahaRZQqq4qIb5nl65b0DQnum5F03Rc7mw8KV0Bs+oi0nogFKwLPTWdyLyxcMg8DzU1uxuMRmPAwDPo2/8UMrMHk57WF7+/nF07F+NweMnKHlJXeayhiExRi12hV0c3woQsGnbda45W6WhhHbdhIeCDkEURtOoYOqAM9qQZBK3gt4PPqfA5QOmwxPIT5TVrmjxvLbFbdFzW+Epfe9FCtGAlzm1vY/GVAWYiVtPMhGtjNM3sQZziid4DsMT8q5PuNbfbrGbVrTfFXMhN7DtrW5gcsGWb2ffZ1cZF34QQQhxY3O4c3J6mpxoCZOeMaLf3S0ntTqq3Z9y2YLASu91DNEZL7BKr6uIvTbPUHycQqCIYjKYOfTVFCe83euwf426oezx5KBUmGKzCZktBqRAWS6R61yDSQkDTdIywn0CwCl23YXe46/bT6hPImmatLwSIjjvyp1nhqlS4bh8DwwhRVraBlNSYBR5ibN38Ob6a4vqCh6honKiUAt2K6tYDn9eOI2DDFdBwVit0ZVCrhbFkG4R8dlRdCFdpD6IHLHh8FoIWjYDTgiWk8GsKFTAIWXQqUx0UZetYqyuoDi+hzFlMuWGnaPuZFLXxk2KGs+HssaZZKraRsvoerFWbEp5LddtJqysA0DTo1dVsaZDfHYYNMB+nesz4UQgh2suQIUP46aefeOyxx3jzzTe544478Pl8dO3alQkTJvDggw82W0X7S5swYQKrVq3in//8J++//z7vvPMOwWCQHj16MGnSJF588UWGDh3KH//4R4Bmk7+TJ0/G5XIxa9asZpO0+fn59X1py8vL6d69O1dffTW33XZbQgHkeeedx5w5c/jnP/9JeXk5aWlpjB07lj/+8Y9MmjSp0ePv3r2bW2+9lWeeeYaUBtM7Z8+ezTXXXMMdd9xBdnY2zzzzDMccc0xrT9cBQ1NNNY/aj5177rm8/vrr/Pjjjxx++OEJz+fk5KBpGrt3N0yiRVVXV5OSksLw4cNZvnx5wvPvv/8+p5xyCjfffDMPPvhg0mMdN24cixYtIrvB6kmNTWVquG1v9yn1hQiFAU1Dj1RQ1u8eu1AV2KwOTjjmYaxWsyFlpKuW0qLHW7ryCXbt+JZQ2EBpoKxgrWsVoQHZKT0ZN+YB0tP612fkAoEKdhf/hMPhBTTsNi9eb28AQiEf5RWb6oNvRZgli+7FV7MJm8VqJkkVDBp8A5mZw+uaaoHe4GcOhQJUVGwhM30A3tTeOBzpWCxOjLAfNB2r1RX7g9eJXvaqbuWIQKCyrmLDFXnCnCoWqombCOer3Y2vtoi1P7/Izl3foNf1+Ro2+GpyuhyOVbPiTe2HplvqpvCBYalA19LRDXf099Dwb55G3SJiCrtVw5OiqPVpGIbZCixgKHR3CBXQIaxjSQmi2RS6VRGqW/dB0802AqPGFdGri9lHrLJKJxzWWKMgNSMNS0y1SGlVLZW1Zp/h3LQUHHVTMtJ1jT7BADsrzDYZLqeBw64IKfDoGpqykqJ1wwjZ+fSTxCLsYGQ8Gkw5EepmJ6ABFVVm5SyYFRAW3ew/29qgXuyd2a+aK1U358zTILv59TqEEOKAEqlaXbhwYQt7drymYkdoXWzY2m12expHToiffaUUhMLmfB0NCAar+OyzqyNHiFsYVtPNag9rXUAT1syFsQK6hmbV6+M1PQCEwZPag6Mm3FO36BVo6GRlDsWqO7BYHGi6JbqwqmYmOg3DIBSqxmZLwVBhwiEzZqn1l1FVta2ud2yIb+bfhEXzme+padgc3Tn88LvqQy1Nh8yMYfWLcWm6pb4nbTQBqxMOm62twqFaQmE/bndeXZVt40GKocyAR9ca7mO2SlCAYYQIh2upqNzAlm2f8PPPL2K127A7nFjtDmwOJy5nGgO7nUlet/Op75GrET9zSgN0hTs3jGaBkE8jVKmje/yggUtXuK12ykr1+p9ZTwtQW6Nh1FhRYQ2UhmYxzDyyptBTg2h2ha5BzuEljO9pnt9wGGr9OtUK1us2MlO8sT8aO8vLMJTCatXpkhr9UD7CbqWmrJhgOAyawu1SrA5qlBp111PIjGu9mmK0y8Bm1erjv1AI7FoqXTw5uBw61rrYMPJl0aXvrBAdYenSpQD1086FOFi05truiPjxgLz/GNsvtmGStrS0lOLiYsaPH9/sMTweD127dmXTpk2Ew+GEvrTN9b1tq8MPP/yA+FCw9Cf4YVHjz2VlwkvPHNPkYk5+P7z9HpRXQDAIgUBdLGnJpKQkn+xsczr77iLzuYg++d3JjCkauGL6JE5scHNqewF8+EnT4x41Eo44DD75DL7/0Zw+bxhghO0Egub3iWIrWM0/UzzpQPz+mgZutz3u53a7Mxg5bBAnnTChfvumzfDZl+b3VdVQVhb/bg57KhkZsG27GfiquqjbYjG/wmHzfZXS0CPVp25I80JFuVnZqAPBSvMDjFKgyixYrOB21yU76/42u5xw5sjeCb+rllt4JxrRPafFfXaPMPuZxv+85p95udA3Pz4B69z3fd9FM9zu5pO0mgYuqWYWQogO9UvFjnPegaI9TT8/sD+88WrzLcQiSkthTwlYbdCjG1gbfMoIh80bhZHFn0Ih2BnptaTM7ZoGFoted/PZgqaB1+sgHI7EleZ/UDZrJrm5fdE0GH8kDB0cX3CxYSN88VX0sVJQsCN+PDarGTv5fObzug4nHmdl0AD47xwvO3ZQ37e/KRat8X6DkT67de+E1epi+NAjuHfmEfTofmvcvkuWwdJl4A/Atm3mglj1x4ndUYFN17BU6jjs4HRChR9yM131cVZFRTSR6U0Ft9PJznKzsMIfNg9o1Sz1vxtrwEpeXRzes8LNmMYLfRN1TW/6ucz4yqcxrTykEEIIIZJe571jRUqaP/kkMXMX2daasudjjjmG6upqFixYkPDcxx9/3OrjHCxGjYQxR0QTbGAGy717wtTJNJmgBXOl+PIK83ubDTwecHvMwNdQZtCojPgELYCvJlpVCeYiUw316A5HHNr4+/bqAYeMgI8/g0VLIBSOJllVXTKztcLh2GSpuc1qNX9uvS74tVqgf1846YT48xE7hTzUSGtdf8A8ts1mJqttNjMRZrebx4n8GRl3dQ0U74E9e8DrNQPtQCCa4FV1fVwDAbOPaFFx9OceOaL531V7Gzva/B3EfhjTNDM5O/kEqZDd3wxs4b5Tj+7gcf8yYxFCCNGxRh3S9HNWC4wY3vIxqqrgvQ/h9Tnw5Tz49HMzGbu8QWtdiwWGDI4+1mPX7tLM2Mhma7xa0u2C3NzojV7dAt27mnHG0MGJ+9vt8Y+1uuPHstnMWSM9ukH3buZxJoyHnByz9VLjN/mTl5drvk+sFavgx8Vm/FpdbSa4m4vhwnX7lZZBcbG50Kc3dmF1zUzspqaY8WN13RprcfFwTFwWCkUT0ZE4XgghhBAd54CspD3++OPp27cvs2fP5oYbbqgvT66srOTuu+/GarXyq1/9qn7/4uJiiouLyc7Ojps6dtVVV/HKK69w++2389lnn2Gvi+g+//xzPv74Y44++mgGDhxIZ3LICBg2BHYUmoFbdnaD4K8J6zc0vj1SDVDrNwPQhsx2AvEJysYcOgp69oQ1a82Er8NpVnf06G4mZyMVqrEsFtCC1AejSsUnDBu+lxazX+S5SFVrVlb09ccfmxhAR4JgaH4qltViVjI0TFyGQvHjj7x/KGRWH9fWRj8sNBxnMGiOx18LR0+Aka34QNWedN1M7h8ywrxuDANyu5gfHMT+Z2B/8+/rrka6wTjsMPaIX35MQgghOkZ+b5h4FHz3Q/yNdI8bjplI3GynxgSD8P5HUNcdqZ4/AN/+YCZThw2Jbj/0EHO20aYtZvzgckFN3eyO7Cwzxqmom5WllHkD2OOB9DTzOUddknbcWBg+tOlxdetqxm++mCUXUjxmcjPCXTdrRNPNJbCGxRzP6TSfL298Tds4mkZcCzGIjzl13XzvMUfEx3/hMCz7KfrYZ3YawOEwY6lIbNhYbKyU2VrKajXHevQEM2nr98PiZdFYNBTTfiqiYZwaCpnv6ZRe9EIIIUSHOyCTtFarlaeffprJkyczceJELrzwQrxeL2+++SabNm3innvuiUuuPvroo9x1113MnDmTO++8s377pEmTuOKKK3j66ac59NBDOfnkk9m1axevvvoqXq+Xxx9/vAN+uo5ntUKvni3vF6u2iXXHGiYjbTYz8G5qn65dm36P7CyzwiFWOGwmbsFMVMYlgjXzw0E4JinaVJI2dnsk2NY0M3CPBK2aZn4gSE9PHJvHAyWl5vcuV+KHlcj4Ujxm4jruvKhogtZqgbAR/7zfn1jNEenPFRmn0wHduzdfEbOvORzQJ7/j3l+0jtUKU08y25usWWveQLHo5gf1w0Y1fn0LIYQ4eA0eaM4S2rLVTJh6vdCzR+v6f65d13jME7F0mXn8yM1tiwVOOA4Kd5o3DCsqzZZRVku0bZPbDZWV5g3wnJzEG+MZ6TCohVkhFguMPhzmxUyW89TFYNXV5k1JZ0xrnwH945PJAJmZ5vhampVlt0cLDnQ9OivLajXjPq+3bgZVgyRo8R6o8UUfx76Prkcrf3U9cSaarpvH9wfM2VSaZs6kArMidtOW6HkA8/nI77Ph79WiR8+BEEIIITrWAZmkBTPBOn/+fGbOnMlrr71GIBBg2LBh3H333Vx88cWtPs4TTzzByJEjeeKJJ3j44YdJSUnh1FNP5d577+10VbR7Iz09pq9YDLerrj9tXf/V1JRoMhPMoDx2+tmIYW173+rqaJWEx2MGq7FsVjNQjgSnmhZflaDrZrWs0UjCNtLqwF3XG3b4sMan1IH5YWFbXasGm82sQInt++mw1wXrqZCVDZs3m8lYiLZXsNnqxhKMD6CVkVih0XCs0LbWDqJzs9nMD6+HH2omae22xN6BQgghOg+rFfr1bfvrNm9p/vkanzlzo1uDm/Bd88yvyD7LfoJ16804zuMx21ylemHxkug0fF2D3r3gqHGJrQsaM2igGU8tXhpNJOdkmclYl9N8X4/HjOEajq97N/M1Tkd8NW4sc90CyMiAgN9ckwCiMVyKJ3rjMyM98SZowxvwNjuEfI0/Hzmm3VzjrP5xJHm7ozB6Po89GqzfmH153e7ouDyexEIJS10xQk62OdNGCCGEEB3rgP5YPmbMGD788MMW97vzzjvjKmhj6brO9ddfz/XXX9/Oo+tchgxqPEnrqQsOHXYzoHS7zWqDSLDs9UYTqGNHm+0L2sIaE6S766bMRRakALMS1uUyg3Gloklcp8NMwHo85kIXVdXRatZI37KcbDj/bPNDgtvVfG/V/N6Q3ws2bzUfp6ebx48Exunp5hhGDDMrHRYtgbnzotUWWm30+B63mcCtT7rGVAE3NQZNN8crRFvoenS6pxBCCNFWDVtNJbOP22W2Lxg31tw3tnK2Xx+z4jQQMGOptvZMH9Af+vczjxEOm8lSRysWMB02BH5eZyZgjT1mBW7sDfNI79wuOXXrDdjMpG9sYjU2kXxoIzOdsjLjZ5ileKItDyL0mLjPajFniMWKbalQv5/VTNQecRhs32H2Bi7eY24PBMx2EpFYOSvLbPNwxGFys1YIIYTYH8h/x6Jd9OsL2woSe9NqOgzoZwbVu4rMANfrNVsXRPrdpqbAgAHJLVbkdpkLMezcBWjmcSurzArbUF2bg7594IxTzKDc76+bRlcFr79lHiMnxwzaa/1m8Gq1mlPXTjwO8vJaNw5Ng+MnwcpV5iJqFZVmYD/qEHPhNW+qGQhHPngccZjZ523xUnMl5MLCaEVGWpq5T02NmdC2WszksmE0/UHHmwpDhzT+nBBCCCHEvpCTbfbOb4pFN5ORrdWwtYGm7f1N6GSOkZFhxnVfzjPjr4oKc9aVUmas1i3P/D7SZstqNWPQ0lKzV2ykMMHpgCMOb7xK2W43q3hXrDIfOxzmzK1I5bBFByzm+0faGzTkqrvR2rNH4nMpKWariUEDYMVKWLHaXOQtO9ts5TB0kJnEluSsEKI5FouFUCiEYRjoremDI8QBwDAMlFJYfskV11tJ/lsW7ULT4NiJ0KsHrPkZysvN6VMD+sHgQWalQHm5uWCDzWZOyWqvf+MPPxQ+/KSuekGD1FTzSylzDGedFl3EKlI9kZFuBrSRFgVWG6Q0qMrt369t49B1cxXkEcPN5KquN/8z9u1jfpWWwbffw9Zt8ft7POafaWlmwrak1PyZGk6P87hh0jFSSSuEEEKIX9bQwbB6bWJsEpGfbyYrD0S9e8FF58H6jbB7txmvZWaYN/D79TFv+H/wUbSvrN0OublghM1YsGtX6Nm9+STomCPM/rtbtpmPU1PN2LXGZyaCw2FzobWKqsS+tDarGa/27G4miJuiaeZ4hg8zixgslmhyVwghWmKz2QiFQvh8PjyRD6hCHOCqqqoAcO6Hq2ZKkla0G00zKwWa6mmWlhatEm1P3bqaVa8Lv4tfvCK3i7licSRB29Cko+GTzxPbNKR4YPIJe1dZ0JbXZqSb4//iK3PRjlhOB5x4vJng/nyuWclRXVM3HVA3KyEuOs/8UCCEEEII8UtKT4djJsC8+dFe+xFdsuGoIztkWO3GbjcT0Y2tSZCRDuecCT+vN2/6K2UmVgcNan0rIYsFTjrBjEU3bDQTsRkZZvVrJJG69CdYshQKd5kzwsCMDzMyzNlak45p3XtpWtMxsRBCNCUtLQ2fz0dBQQF9+/bFKuX34gBmGAZVVVVs22beHU3fD1fNlr9h4qDQq6dZGbtrt7nAQ1qqmcBsjsMBp04zF1vYstWsAsntAn3yE6fb7WtWK5x0vLlC78ZNZiVudrZZqWG1mi0dcruYrRT2lJjVE5FKXPl/UgghhBAdpX8/M0ZZ87PZ+9RuM2Op/N7tN2tqf+VwmOsNtHXh24bycs2vxowaafbILdhhxoCBgDmLqkcPs7JXCCH2pdzcXEpKSqiurmb58uVozS3UIsR+TsWstu71esnO3v+mI0t6Rxw0NK3pALc53bomrurbUXKym25bkJ4O4w/wihQhhBBCHHxSU2H04R09ioOXzVa3SG3vjh6JEKKz0XWdvn37smvXLioqKjCa6m8jxAHAYrHgdDpJT08nOzt7v+yzLElaIYQQQgghhBBCCJHA5XKRn5/f0cMQolPY/9LGQgghhBBCCCGEEEII0YlIklYIIYQQQgghhBBCCCE6kCRphRBCCCGEEEIIIYQQogNJklYIIYQQQgghhBBCCCE6kCRphRBCCCGEEEIIIYQQogNJklYIIYQQQgghhBBCCCE6kKaUUh09iINZbm4uNTU1DB8+vKOHIoQQQgjRKa1YsQK3282uXbs6eigtkthRCCGEEKLjdUT8aP3F3qmTysjI6OghdLgVK1YAyIeNNpLzlhw5b8mTc5ccOW/JkfOWHDlvyamtrSUUCnX0MFpFYkeTXOvJkfOWHDlvyZHzlhw5b8mR85YcOW/J64j4UZK0+9iaNWs6eggdbty4cQAsXLiwg0dyYJHzlhw5b8mTc5ccOW/JkfOWHDlvyYmctwOBxI4mudaTI+ctOXLekiPnLTly3pIj5y05ct6S1xHxo/SkFUIIIYQQQgghhBBCiA4kSVohhBBCCCGEEEIIIYToQJKkFUIIIYQQQgghhBBCiA4kSVohhBBCCCGEEEIIIYToQJKkFUIIIYQQQgghhBBCiA6kKaVURw9CCCGEEEIIIYQQQgghOiuppBVCCCGEEEIIIYQQQogOJElaIYQQQgghhBBCCCGE6ECSpBVCCCGEEEIIIYQQQogOJElaIYQQQgghhBBCCCGE6ECSpBVCCCGEEEIIIYQQQogOJElaIYQQQgghhBBCCCGE6ECSpBVt9uKLL/Lb3/6WI444AofDgaZpzJo1q83HMQyDRx99lJEjR+JyucjJyeG8885j3bp17T/o/UB7nLe5c+eiaVqTX99+++2+GXwHKSgo4J///CcnnXQSvXr1wm63k5eXx9lnn813333XpmN1puutvc5bZ7veAMrKyrjhhhsYN24ceXl5OBwOunfvznHHHccbb7yBUqrVx+pM11x7nbfOeM3FevDBB5P+WTvT9dZQsuets19vvzSJH5Mj8WPbSfyYHIkfkyOxY3Ikdmw/Ej8mZ3+NH6179WrRKd1+++1s2bKF7OxsunbtypYtW5I6ztVXX81TTz3F0KFDuf7669m1axevvvoqn3zyCd988w1Dhw5t55F3rPY6bwDHHHMMxx57bML2Hj167MUI9z+PPPIIDzzwAP369ePEE0+kS5curFu3jjlz5jBnzhxefvllzjvvvFYdqzNdb+153qDzXG8AxcXFPPvssxx55JGcccYZZGZmsnv3bt59913OOeccrrzySp588slWHaszXXPted6gc11zEatXr+aOO+7A4/FQXV3d5td3pust1t6eN+ic11tHkPgxORI/tp3Ej8mR+DE5EjsmR2LH9iHxY3L26/hRCdFGn376qdq8ebNSSqn7779fAeq5555r0zG++OILBaiJEyeq2tra+u2fffaZ0jRNHX300e055P1Ce5y3L7/8UgFq5syZ7T/A/dAbb7yh5s2bl7B93rx5ymazqczMzLjrpymd7Xprr/PW2a43pZQKhUIqGAwmbK+oqFBDhw5VgFqxYkWLx+ls11x7nbfOeM0pZZ6/0aNHqzFjxqhLLrlEAWrhwoWtfn1nu94i9va8ddbrraNI/JgciR/bTuLH5Ej8mByJHZMjsePek/gxOft7/CjtDkSbnXDCCfTu3XuvjvHUU08BcM899+BwOOq3H3/88UyePJl58+bx888/79V77G/a47x1NmeddRYTJ05M2D5x4kQmTZpESUkJy5cvb/E4ne16a6/z1hlZLBas1sRJJqmpqUyePBmA9evXt3icznbNtdd566weeOABli1bxrPPPovFYmnz6zvb9Raxt+dN/LIkfkyOxI9tJ/FjciR+TI7EjsmR2HHvSfyYnP09fpQkregQc+fOxePxcNRRRyU8F/lH+auvvvqlh3XAWLduHQ8//DD/93//x8svv0xxcXFHD+kXZ7PZABr9z70hud6i2nLeIuR6g9raWr744gs0TWvVtB+55kxtPW8RnemaW7FiBXfddRe33347w4YNS+oYnfF6a4/zFtGZrrcDXWe81tuTXOsSPyZL4se2k9gxORI7to7Ej8k5EOJH6UkrfnHV1dUUFhYyfPjwRu9cDBgwAKBTNKtO1uzZs5k9e3b9Y5fLxV133cXNN9/cgaP65WzdupXPPvuMvLw8RowY0ey+cr1FteW8xeqM11tZWRn//Oc/MQyD3bt388EHH7Bt2zZmzpxZf800pTNfc3tz3mJ1lmsuFArxq1/9iiFDhvDnP/85qWN0xuutPc5brM5yvR3oOuO13t46+7Uu8WNyJH5sHYkdkyOxY9tJ/JicAyV+lCSt+MWVl5cDkJaW1ujzXq83bj8RlZOTw1//+ldOOeUUevXqRVlZGV9++SV/+tOfuOWWW/B6vfz2t7/t6GHuU8FgkEsvvRS/38+DDz7Y4hQFud5MbT1v0Lmvt7KyMu666676xzabjb/+9a/84Q9/aPG1nfma25vzBp3vmrvvvvtYtmwZ3333XX2VUlt1xuutPc4bdL7r7UDXGa/19iLXusSPyZL4sfUkdkyOxI5tJ/Fjcg6Y+HGfdLoVnUYyCxgUFBQoQB111FGNPj9v3jwFqKuuuqqdRrn/SXbhh6YsX75c2e12lZubq8LhcLscc38UDofrm3tfeeWVrXqNXG/JnbfmdJbrTSmzsfymTZvU/fffr+x2uzrzzDMbXeQgllxzyZ235hyM19zSpUuVzWZTf/7zn+O2T58+vU0LGHS26629zltzDsbrbX8j8WNyJH5MjsSPyZH4MTkSOyZHYsfWkfgxOQdS/Cg9acUvLnK3pqm7MhUVFXH7iZYNHz6csWPHsmvXroO2wbpSiiuvvJIXX3yRSy65hP/3//5fq17X2a+3ZM9bczrD9RZhsVjIz8/nz3/+M/fccw9vvfVWfZP9pnT2aw6SO2/NORivuenTp9OvXz/uvPPOvTpOZ7ve2uu8NedgvN4OBp3tWv8ldIZrXeLH5Ej8mDyJHZMjsWPrSPyYnAMpfpQkrfjFeTweunbtyqZNmwiHwwnPR/qetKUHjYDs7GwAampqOngk7c8wDC6//HKeffZZLrzwQmbNmoWut+6fr858ve3NeWvJwXy9NeWkk04CzCb7zenM11xjWnveWnKwXXPLli1jzZo1OJ1ONE2r/3r++ecBGDduHJqmMWfOnGaP09mut/Y6by052K63g0Fnu9Z/KQfztS7xY3Ikfmw/EjsmR2LHpkn8mJwDKX6UnrSiQxxzzDG88sorLFiwgKOPPjruuY8//rh+H9E6oVCIxYsXo2kavXr16ujhtCvDMLjiiit47rnnOP/883nhhRda1Q8rVme83trjvDXlYL7emrNjxw6gdSsbd8ZrriltOW9NORivucsvv7zR7fPmzWPdunWcdtpp5OTkkJ+f3+KxOtP11p7nrSkH4/V2sOhM1/ov4WC+1iV+TI7Ej+1LYsfkSOzYNIkfk3NAxY973XhBdGot9cYqKipSq1evVkVFRXHbv/jiCwWoiRMnKr/fX7/9s88+U5qmqaOPPnpfDrvDJXvevvnmG2UYRty2YDCobrrpJgWoKVOm7Kshd4hwOKx+9atfKUCde+65LfYlkuvN1F7nrbNdb0optWTJElVWVpawfc+ePWrUqFEKUC+88EL9drnmTO113jrjNddQc72x5HprWjLnTa63jiPxY3IkfmwdiR+TI/FjciR2TI7Eju1L4sfk7I/xoyRpRZs99dRTavr06Wr69OnqsMMOq284Hdn21ltv1e87c+ZMBaiZM2cmHOeKK65QgBo6dKi6+eab1WWXXaYcDodKS0tTK1eu/OV+oF9Ie5y33r17q/z8fHXRRRepm2++WV155ZVq0KBBClC9evVSmzdv/mV/qH0sch5SUlLUbbfdpmbOnJnwtWTJkoT9O/v11l7nrbNdb0opdeONNyqPx6NOOeUUde2116pbbrlFnX/++SolJUUB6uyzz45rBC/XnKm9zltnvOYaai5YlOutacmcN7neflkSPyZH4se2k/gxORI/Jkdix+RI7Ni+JH5Mzv4YP0q7A9Fm8+fPr+/dEbFgwQIWLFgAQH5+PmeccUaLx3niiScYOXIkTzzxBA8//DApKSmceuqp3HvvvQwcOHBfDL1Dtcd5u+aaa/joo4+YO3cuxcXFWK1W+vfvz2233cYf/vAHMjIy9tXwO8TmzZsBqKqq4t577210n/z8fEaNGtXisTrT9dZe562zXW8A55xzDuXl5Xz77bfMmzePmpoaMjMzmTBhApdddhkXXHABmqa16lid6Zprr/PWGa+59tKZrrf2ItfbL0vix+RI/Nh2Ej8mR+LH5EjsmByJHfcPnemaay/7+prTlFKqncYqhBBCCCGEEEIIIYQQoo3aZ5lGIYQQQgghhBBCCCGEEEmRJK0QQgghhBBCCCGEEEJ0IEnSCiGEEEIIIYQQQgghRAeSJK0QQgghhBBCCCGEEEJ0IEnSCiGEEEIIIYQQQgghRAeSJK0QQgghhBBCCCGEEEJ0IEnSCiGEEEIIIYQQQgghRAeSJK0QQgghhBBCCCGEEEJ0IEnSCiGEEEIIIYQQQgghRAeSJK0QQgghhBBCCCGEEEJ0IEnSCiGEEEIIIYQQQgghRAeSJK0QQgghhBBCCCGEEEJ0IEnSCiGEiLN9+3YcDgdDhw7FMIyE5wsKCujRowd2u50vv/yyA0YohBBCCCH2FxI7CiFE+5AkrRBCiDg9evTgsssuY/Xq1bz11ltxz1VUVDBt2jQKCgp45plnmDRpUgeNUgghhBBC7A8kdhRCiPahKaVURw9CCCHE/mXjxo0MHDiQkSNHsnjxYgBCoRDTpk3j008/5e677+b222/v4FEKIYQQQoj9gcSOQgix96SSVgghRIK+ffty4YUXsmTJEj788EMArrrqKj799FMuv/xyCbKFEEIIIUQ9iR2FEGLvSSWtEEKIRq1evZphw4Yxfvx4TjrpJGbOnMnkyZN57733sFqtHT08IYQQQgixH5HYUQgh9o4kaYUQQjTpnHPO4Y033gDgkEMO4euvvyY1NbWDRyWEEEIIIfZHEjsKIUTypN2BEEKIJp188skApKSk8MEHH0iQLYQQQgghmiSxoxBCJE+StEIIIRq1YsUKfve73wFQVVXF1q1bO3hEQgghhBBifyWxoxBC7B1J0gohhEhQUFDA1KlT8fl83H333QDce++9HTwqIYQQQgixP5LYUQgh9p4kaYUQQsSpqKhg2rRpFBQU8Oyzz3L77bdzzDHH8N5777F06dKOHp4QQgghhNiPSOwohBDtQ5K0Qggh6gWDQc466yx++ukn7rvvPi6++GIAbrvtNkAqIoQQQgghRJTEjkII0X40pZTq6EEIIYTYP1x22WW88MILXH311Tz++ONxz40dO5Yff/yRlStXMnjw4A4aoRBCCCGE2F9I7CiEEO1HKmmFEEIAcOutt/LCCy9w6qmn8uijjyY8f9ttt2EYBvfdd18HjE4IIYQQQuxPJHYUQoj2JZW0QgghePLJJ/ntb3/L6NGjmTt3Lm63O2EfpRSHHnooK1euZO3atfTt27cDRiqEEEYfuBoAAAE6SURBVEIIITqaxI5CCNH+JEkrhBBCCCGEEEIIIYQQHUjaHQghhBBCCCGEEEIIIUQHkiStEEIIIYQQQgghhBBCdCBJ0gohhBBCCCGEEEIIIUQHkiStEEIIIYQQQgghhBBCdCBJ0gohhBBCCCGEEEIIIUQHkiStEEIIIYQQQgghhBBCdCBJ0gohhBBCCCGEEEIIIUQHkiStEEIIIYQQQgghhBBCdCBJ0gohhBBCCCGEEEIIIUQHkiStEEIIIYQQQgghhBBCdCBJ0gohhBBCCCGEEEIIIUQHkiStEEIIIYQQQgghhBBCdCBJ0gohhBBCCCGEEEIIIUQHkiStEEIIIYQQQgghhBBCdCBJ0gohhBBCCCGEEEIIIUQHkiStEEIIIYQQQgghhBBCdCBJ0gohhBBCCCGEEEIIIUQH+v+AEaWkDsK89gAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1400x560 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import display\n",
    "ci_result = ci.run_bayesian_ci(B_nonpar=400, B_param=400, M_mca=10000, max_hessian_condition=1e6)\n",
    "parameter_table = ci.make_parameter_ci_table(ci_result)\n",
    "derived_table = ci.make_derived_ci_table(ci_result)\n",
    "parameter_table.to_csv(PROJECT_ROOT / 'outputs' / 'bayesian_parameter_ci.csv', index=False)\n",
    "derived_table.to_csv(PROJECT_ROOT / 'outputs' / 'bayesian_x50_s50_ci.csv', index=False)\n",
    "fig, axes = ci.plot_bayesian_ci(ci_result, band_support='observed')\n",
    "fig.savefig(PROJECT_ROOT / 'outputs' / 'bayesian_ci_bands.png', dpi=300, bbox_inches='tight')\n",
    "fig.savefig(PROJECT_ROOT / 'outputs' / 'bayesian_ci_bands.pdf', bbox_inches='tight')\n",
    "display(parameter_table)\n",
    "display(derived_table)\n",
    "import matplotlib.pyplot as plt\n",
    "display(fig)\n",
    "plt.close(fig)\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.12.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}