{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ks03_01",
   "metadata": {},
   "source": [
    "# 03 - Kaiser-Squires: Physics and Practice\n",
    "\n",
    "## Learning Objectives\n",
    "\n",
    "By the end of this tutorial, you should be able to:\n",
    "\n",
    "1. Explain what the Kaiser-Squires (KS) inversion is reconstructing physically.\n",
    "2. Connect core KS assumptions to practical analysis choices in SMPy.\n",
    "3. Run KS in SMPy and interpret E/B maps, including smoothing tradeoffs."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ks03_02",
   "metadata": {},
   "source": [
    "## Canonical Reference\n",
    "\n",
    "The foundational paper for this method is:\n",
    "\n",
    "- **Kaiser, N. & Squires, G. (1993)**, *Mapping the dark matter with weak gravitational lensing*, *The Astrophysical Journal*, **404**, 441-450.  \n",
    "  DOI: [10.1086/172297](https://doi.org/10.1086/172297)  \n",
    "  ADS: [1993ApJ...404..441K](https://ui.adsabs.harvard.edu/abs/1993ApJ...404..441K/abstract)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ks03_03",
   "metadata": {},
   "source": [
    "## 1) Physics Primer\n",
    "\n",
    "Weak lensing maps how light from background galaxies is distorted by foreground mass.\n",
    "\n",
    "The local lensing distortion is described by the Jacobian\n",
    "\n",
    "$$\n",
    "\\mathbf{A}(\\boldsymbol{\\theta}) =\n",
    "\\begin{pmatrix}\n",
    "1-\\kappa-\\gamma_1 & -\\gamma_2 \\\\\n",
    "-\\gamma_2 & 1-\\kappa+\\gamma_1\n",
    "\\end{pmatrix}\n",
    "$$\n",
    "\n",
    "where:\n",
    "\n",
    "- $\\kappa$: convergence (projected surface-density contrast)\n",
    "- $\\gamma_1, \\gamma_2$: shear components\n",
    "\n",
    "Observed galaxy shapes estimate the **reduced shear**:\n",
    "\n",
    "$$\n",
    "\\mathbf{g} = \\frac{\\boldsymbol{\\gamma}}{1-\\kappa}\n",
    "$$\n",
    "\n",
    "In the weak regime ($|\\kappa| \\ll 1$), we often use $\\mathbf{g} \\approx \\boldsymbol{\\gamma}$.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ks03_04",
   "metadata": {},
   "source": [
    "## 2) KS Inversion in Fourier Space\n",
    "\n",
    "Define complex shear and convergence:\n",
    "\n",
    "$$\n",
    "\\gamma = \\gamma_1 + i\\gamma_2,\n",
    "\\qquad\n",
    "\\kappa = \\kappa_E + i\\kappa_B\n",
    "$$\n",
    "\n",
    "Kaiser-Squires uses the Fourier-space relation\n",
    "\n",
    "$$\n",
    "\\hat{\\gamma}(\\boldsymbol{\\ell}) = D(\\boldsymbol{\\ell})\\,\\hat{\\kappa}(\\boldsymbol{\\ell}),\n",
    "\\qquad\n",
    "D(\\boldsymbol{\\ell}) = \\frac{\\ell_1^2 - \\ell_2^2 + 2i\\ell_1\\ell_2}{\\ell_1^2 + \\ell_2^2}\n",
    "$$\n",
    "\n",
    "So the inversion is\n",
    "\n",
    "$$\n",
    "\\hat{\\kappa}(\\boldsymbol{\\ell}) = D^*(\\boldsymbol{\\ell})\\,\\hat{\\gamma}(\\boldsymbol{\\ell})\n",
    "$$\n",
    "\n",
    "The real part gives **E-mode** convergence (physical lensing signal), while the imaginary part gives **B-mode** (often used as a systematics diagnostic).\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ks03_05",
   "metadata": {},
   "source": [
    "## 3) Practical Assumptions and Caveats\n",
    "\n",
    "Important assumptions behind basic KS usage:\n",
    "\n",
    "- Flat-sky approximation (appropriate for modest fields of view).\n",
    "- Finite survey boundaries can leak power and bias edges.\n",
    "- Smoothing reduces noise but also suppresses small-scale structure.\n",
    "- Mass-sheet degeneracy remains a fundamental lensing ambiguity.\n",
    "\n",
    "This is why diagnostics (especially B-mode behavior and sensitivity to smoothing) are part of good practice."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ks03_06",
   "metadata": {},
   "source": [
    "## 4) Mapping Physics to SMPy Settings\n",
    "\n",
    "In SMPy, the main KS-relevant controls are:\n",
    "\n",
    "- `general.coordinate_system`: `radec` or `pixel`\n",
    "- `general.radec.resolution` (or API `pixel_scale`): angular map resolution\n",
    "- `methods.kaiser_squires.smoothing.sigma` (or API `smoothing`): Gaussian smoothing scale\n",
    "- `general.mode`: `['E']`, `['B']`, or `['E', 'B']`\n",
    "\n",
    "For this tutorial we will run in `radec`, produce both E and B maps, and compare multiple smoothing values."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ks03_07a",
   "metadata": {},
   "source": [
    "## 5) SMPy Analysis Workflow\n",
    "\n",
    "A standard analysis workflow in SMPy is:\n",
    "\n",
    "1. Set data paths and shear/coordinate column names.\n",
    "2. Build a `Config` from method defaults and update the run parameters.\n",
    "3. Save the config for provenance, then execute `run(config)`.\n",
    "4. Inspect E/B outputs and iterate on smoothing and diagnostics.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "ks03_07",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SMPy version: 0.5.0\n",
      "Seed: 42\n",
      "Input data: /Users/vassig/research/SMPy/examples/data/forecast_lum_annular.fits\n",
      "Output root: /Users/vassig/research/SMPy/examples/outputs/tutorials\n"
     ]
    }
   ],
   "source": [
    "from pathlib import Path\n",
    "import random\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import smpy\n",
    "from IPython.display import Image, display\n",
    "\n",
    "from smpy.config import Config\n",
    "from smpy.run import run\n",
    "\n",
    "# Set deterministic seeds for reproducible tutorial outputs.\n",
    "SEED = 42\n",
    "random.seed(SEED)\n",
    "np.random.seed(SEED)\n",
    "\n",
    "\n",
    "def find_repo_root(start: Path) -> Path:\n",
    "    # Walk upward until we find the SMPy repository root markers.\n",
    "    for candidate in [start, *start.parents]:\n",
    "        if (candidate / \"setup.py\").exists() and (candidate / \"smpy\").is_dir():\n",
    "            return candidate\n",
    "    raise RuntimeError(\"Could not locate SMPy repository root.\")\n",
    "\n",
    "\n",
    "# Resolve input/output locations relative to the repository root.\n",
    "repo_root = find_repo_root(Path.cwd().resolve())\n",
    "data_file = repo_root / \"examples\" / \"data\" / \"forecast_lum_annular.fits\"\n",
    "artifacts_dir = repo_root / \"examples\" / \"outputs\" / \"tutorials\"\n",
    "artifacts_dir.mkdir(parents=True, exist_ok=True)\n",
    "\n",
    "# Print runtime context for quick verification in notebook output.\n",
    "print(f\"SMPy version: {smpy.__version__}\")\n",
    "print(f\"Seed: {SEED}\")\n",
    "print(f\"Input data: {data_file}\")\n",
    "print(f\"Output root: {artifacts_dir}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "ks03_08",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Configuration saved to: /Users/vassig/research/SMPy/examples/outputs/tutorials/tutorial03_ks_workflow.yaml\n",
      "Convergence map saved as PNG file: /Users/vassig/research/SMPy/examples/outputs/tutorials/kaiser_squires/tutorial03_ks_workflow_kaiser_squires_e_mode.png\n",
      "Convergence map saved as PNG file: /Users/vassig/research/SMPy/examples/outputs/tutorials/kaiser_squires/tutorial03_ks_workflow_kaiser_squires_b_mode.png\n",
      "KS workflow run complete.\n",
      "E map shape: (38, 57)\n",
      "B map shape: (38, 57)\n",
      "E std: 0.04287568259826704\n",
      "B std: 0.03868921282648928\n",
      "Saved config snapshot: /Users/vassig/research/SMPy/examples/outputs/tutorials/tutorial03_ks_workflow.yaml\n"
     ]
    }
   ],
   "source": [
    "base_name = \"tutorial03_ks_workflow\"\n",
    "\n",
    "workflow_config = Config.from_defaults(\"kaiser_squires\")\n",
    "workflow_config.update_from_kwargs(\n",
    "    data=str(data_file),\n",
    "    coord_system=\"radec\",\n",
    "    pixel_scale=0.4,\n",
    "    smoothing=2.0,\n",
    "    g1_col=\"g1_Rinv\",\n",
    "    g2_col=\"g2_Rinv\",\n",
    "    weight_col=\"weight\",\n",
    "    mode=[\"E\", \"B\"],\n",
    "    save_plots=True,\n",
    "    save_fits=False,\n",
    "    output_dir=str(artifacts_dir),\n",
    "    output_base_name=base_name,\n",
    ")\n",
    "\n",
    "workflow_config_path = artifacts_dir / \"tutorial03_ks_workflow.yaml\"\n",
    "workflow_config.save_config(workflow_config_path)\n",
    "\n",
    "result = run(workflow_config)\n",
    "\n",
    "print(\"KS workflow run complete.\")\n",
    "print(\"E map shape:\", result[\"maps\"][\"E\"].shape)\n",
    "print(\"B map shape:\", result[\"maps\"][\"B\"].shape)\n",
    "print(\"E std:\", float(np.nanstd(result[\"maps\"][\"E\"])))\n",
    "print(\"B std:\", float(np.nanstd(result[\"maps\"][\"B\"])))\n",
    "print(\"Saved config snapshot:\", workflow_config_path)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "ks03_09",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Baseline SMPy plot outputs:\n",
      "- /Users/vassig/research/SMPy/examples/outputs/tutorials/kaiser_squires/tutorial03_ks_workflow_kaiser_squires_e_mode.png\n",
      "- /Users/vassig/research/SMPy/examples/outputs/tutorials/kaiser_squires/tutorial03_ks_workflow_kaiser_squires_b_mode.png\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABLAAAAMgCAYAAAAz4JsCAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAPYQAAD2EBqD+naQAA/e1JREFUeJzs3Xl8VNX9//H3zGQy2UhYwir7rhUUECmbqIiKGKWoFVeQ2roUQUCoS1XEtVJRgoi2/cqiWBFRke0nLoDYCCoiICogAoECQpAEyDKZ5f7+CEmJSUhmzgVmyOv5eMwDcu85537m7vOZc884LMuyBAAAAAAAAEQo56kOAAAAAAAAADgeElgAAAAAAACIaCSwAAAAAAAAENFIYAEAAAAAACCikcACAAAAAABARCOBBQAAAAAAgIhGAgsAAAAAAAARjQQWAAAAAAAAIhoJLAAAAAAAAEQ0ElgAAAAAAACIaCSwAAAAAAAAENFIYAEAAAAAACCikcACAAAAAABARCOBBQAAAAAAgIhGAgsAAAAAAAARjQQWAAAAAAAAIhoJLAAAAAAAAEQ0ElgAAAAAAACIaCSwAAAAAAAAENFIYAEAAAAAACCikcACAAAAAABARCOBBQAAAAAAgIhGAgsAAAAAAAARjQQWAAAAAAAAIhoJLAAAAAAAAEQ0ElgAAAAAAACIaCSwAAAAAAAAENFIYAEAAAAAACCikcACAAAAAABARCOBBQAAAAAAgIhGAgsAAAAAAAARjQQWAAAAAAAAIhoJLAAAAAAAAEQ0ElgAAAAAAACIaCSwAAAAAAAAENFIYAEAAAAAACCikcACAAAAAABARCOBBQAAAAAAgIhGAgsAAAAAAAARjQQWAAAAAAAAIhoJLAAAAAAAAEQ0ElgAAAAAAACIaCSwAAAAAAAAENFIYAEAAAAAACCikcACAAAAAABARCOBBQAAAAAAgIhGAgsAAAAAAAARjQQWAAAAAAAAIhoJLAAAThCHw1Hy+vzzzyss99Zbb5WUa968+ckL0Ean23vNzs5WnTp1dMMNN5SaPmPGjFLvtfiVmJioc845R4899phyc3NPUdQnzvLly+VwODR06FCjdizLUqdOndSxY0cFg0F7ggMAANUCCSwAAE6C2bNnVzjv9ddfP4mRnHinw3t98sknlZ2drYcffrjc+a1atdKQIUM0ZMgQ3XLLLerevbs2b96s8ePHq1evXsrLyzvJEUcHh8OhRx55RBs2bNCMGTNOdTgAACCKkMACAOAE8ng8OuusszRnzhz5/f4y8w8cOKD/9//+nzp37nwKorPX6fJe9+zZoylTpuiqq67SWWedVW6ZXr16acaMGZoxY4ZmzZqljz76SD/88IPq16+vb775Ri+//PJJjjp6DBw4UO3bt9cjjzxS7n4CAABQHhJYAACcYDfddJOysrL0wQcflJk3Z84c+Xw+3XzzzacgMvudDu/11Vdfldfr1a233hpSvWbNmulPf/qTJOnTTz89EaGdFhwOh2666Sb997//1fvvv3+qwwEAAFGCBBYAACfYTTfdJIfDUe7jc6+//rqSkpJ09dVXl1vXsiz9+9//1uDBg9W2bVslJiaqRo0aOv/88/XSSy+VO46QZVl68803dcEFF6hBgwaKi4tTkyZNdMkll2jq1Kmlyvp8Pr3yyis6//zzlZqaqoSEBDVv3lxXXnml3nzzzYh/r+PHj5fD4dCMGTO0evVqXXbZZapZs6aSk5PVr18/rVq1KqT4LcvS//3f/6lmzZoaMGBASHUlqX79+pIUcs+iCy+8UA6HQ9u3b9ecOXPUtWtXJSQk6IwzztC4ceNUWFgoSdq6datuuOEG1atXTwkJCbr44ou1fv36ctv0+/2aMmWKunTpoqSkJCUlJen888/XtGnTFAgEyq2zfft23XDDDapTp46SkpLUo0cPLVq06LixW5almTNn6oILLlDNmjUVHx+vjh076u9//7t8Pl+5dW688UZJ0j//+c+qriIAAFDNkcACAOAEa9asmXr27Kn3339fR44cKZm+bds2ff755xo0aJASEhLKrev1enXjjTdq6dKlqlevntLS0tStWzdt3LhRf/7znzVs2LAydR544AHdcMMN+uabb9S5c2cNGjRIrVu31rp16zRx4sRSZW+55Rbdeeed2rZtm3r06KGrrrpKTZo00cqVK8N6DO5kv9diGRkZuuCCC7Rr1y71799f7dq100cffaQ+ffroww8/rHL83333nbZt26bu3bsrNja26m/8qDVr1kiSzjzzzJDrStLkyZN18803y+1267LLLlNhYaEmTpyoP/7xj9qyZYt++9vf6osvvlDv3r3VunVrLVu2TBdddJF+/vnnUu0EAgFdffXVGjFihH788UddcskluuSSS/TDDz/o7rvv1nXXXVcmIbh161Z169ZNb775plJTU5WWlqZgMKi0tDS99dZb5cYbDAZ1/fXXa+jQoVq3bp3OO+88XXbZZdq/f7/Gjh2rgQMHlpt4bNmypZo0aaJPPvlEBQUFYa0rAABQzVgAAOCEkGR5PB7Lsizr5ZdftiRZM2fOLJk/YcIES5L1wQcfWHv27LEkWc2aNSvVhs/ns+bNm2d5vd5S0/ft22edd955liRrxYoVJdPz8/Mtj8djNW/e3Dpw4ECZto4tu23bNkuS1bVrVys/P79U2by8PCsjIyOi36tlWdajjz5qSbIkWQ8++KAVDAZL5r300kuWJKtRo0Zl3l9Fpk2bZkmyHnnkkXLnT58+3ZJkDRkypGRaMBi0du3aZf3973+3nE6nVbNmTeunn36q0vKK9enTx5Jk1ahRw/r0009Lpu/Zs8eqX7++5XA4rDPPPNMaPXq0FQgESpZ76623lhvv3//+d0uS1aFDB+vnn38umb57926rXbt2liRr6tSppepceumlliTr7rvvLlmGZVnWP//5z5J1fOz7tizL+tvf/mZJsvr162ft27evZPqRI0estLQ0S5L14osvlvuer7nmGkuStXz58pDWFQAAqJ5IYAEAcIIcm9T55ZdfrNjYWOvSSy8tmd+uXTurQYMGlt/vrzCpczwffvihJckaPXp0ybSff/7ZkmRdffXVldZfvXq1JckaOXJklZdZkVPxXi3rfwmsZs2aWT6fr0y9bt26WZKsN954o0rLueuuuyxJ1uzZs8udX5zAqujVr18/6/vvv6/y+ypWnMAqL3E2evRoS5LVqlWrMu9x3bp1liSrT58+paY3bdrUkmR9/PHHZdp7//33LUlWu3btSqb9+OOPliSrVq1a1pEjR8rU6dGjR5kEls/ns1JTU60aNWpY+/fvL1Nn7969lsfjsTp06FDue37ooYcsSdbkyZPLnQ8AAHCsGHv7cwEAgPLUqlVLV1xxhRYsWKC9e/dq586d2rRpk0aNGiWXy1Vp/W+++UZLly7Vjh07lJeXJ8uydPjwYUnSli1bSsrVq1dPjRs31qJFizRx4kTddNNNatSoUblttm/fXomJiZo+fbp+85vfaNCgQapTp07UvNdjXXPNNYqJKXtbc8MNN2j16tX67LPPdMMNN1S67H379pW8h+Np1aqVevXqVfL3wYMHtWHDBn344YcaN26cZs2apZo1a1a6vF/r169fmWktW7aUVDRO1q/fY6tWrSQV/XJisczMTGVmZqpBgwa6+OKLy7R35ZVXqmbNmtq0aZP279+vunXr6j//+Y8k6YorrlBiYmKZOoMHD1ZGRkapaWvXrlVWVpb69++v1NTUMnXq16+vNm3a6Ntvv1V+fr7i4+NLza9du7Ykaf/+/WVXBAAAwK+QwAIA4CS5+eab9d577+nNN9/Utm3bSqYdT2FhoYYOHap///vfFZYpTu4UmzlzpgYPHqxx48Zp3LhxatGihS644ALdeOONuvTSS0vKJScn65///Kf+9Kc/6U9/+pPuuOMOtWvXThdddJFuvfVW/fa3v43491qsWbNm5U5v3ry5JGn37t1ViFrKycmRJNWoUeO45Xr16qUZM2aUmhYMBjVhwgQ99thj+v3vf6+lS5dKkrKysnTfffeVaeP2228vlQSTpDPOOKNMueKE0vHmeb3ekmnF77X4vf+aw+FQs2bNlJ2drd27d6tu3boldZo2bVpunfKmb9++XZK0ZMkSORyOcusV++WXX8rEn5ycLOl/6xwAAOB4SGABAHCSFPd8mTVrlnbv3q0zzzxTnTt3Pm6dSZMm6d///rfOPvtsTZw4UZ07d1atWrXkdru1efNmtWvXTpZllapz8cUX68cff9TChQv1//7f/9OKFSs0c+ZMzZw5U7///e81Z86ckrI33HCDLrnkEs2fP19Lly7VihUrNG3aNE2bNk1jx47Vs88+G9HvtTKhlk9JSZEkHTp0KKR6kuR0OvXoo4/qpZde0ocffqgNGzaoQ4cOOnLkiGbOnFmm/IUXXlgmgXW8RFBlSaJwyheXKV5PoSyj+JcM27Rpox49ehy3rMfjKTOtOHFVvM4BAACOhwQWAAAnicfj0bXXXqt//etfkqQRI0ZUWufdd9+VpJLEzrF++umnCuslJyfrxhtv1I033ihJWrVqla677jq99dZbGjp0qPr3719Stm7durr99tt1++23y7IsffDBB7r++us1ceJEDR06VGeddVZEv1dJ2rFjR7nTMzMzJanCxyh/rV69epKKegyFw+FwqHnz5tq/f782bdqkDh06qHnz5iEn0kwUv9finm/lKV4vDRs2LFWnsvV4rMaNG0uSzj777DK90ari4MGDkor2PwAAgMo4T3UAAABUJ7feeqvq1Kmj1NRU3XTTTZWWL/6Q36RJkzLz3nrrrSov97e//a1uueUWSdKGDRsqLOdwOHT55ZdrwIABkqRvv/22ysv4tZP5XufNm1fSI+hYb775piSpZ8+eVQlZ55xzjiTphx9+qFL5XwsGgyWP1pU3ltTJ0LRpUzVt2lR79+7VJ598Umb+okWLdPDgQbVr164keVS8fhYvXqzc3NwydYrX47G6du2qlJQULVu2LKwea99//70k6dxzzw25LgAAqH5IYAEAcBL17t1bWVlZ2r9/f4XjNh2rbdu2kqSXX3651PS3335bs2bNKlM+MzNTM2bMUF5eXqnpXq9Xy5Ytk/S/8YzWrl2rd955Rz6fr1TZgwcPavXq1aXKhuNEv9dj7dixQ4899lipaf/4xz/0+eefq0GDBvrd735X5Zgl6YsvvqhS+WMVj4G1f/9+JScnVzlpdiLcc889kqRRo0aVGiR97969Gjt2bKkyktS6dWv17dtXBw8e1P33369gMFgyb/r06WUGcJeKetndd999ys7O1jXXXFNu763169eXemT1WF988YViY2N1/vnnh/cmAQBAtcIjhAAARLBx48bp//2//6f7779fc+fOVdu2bbVlyxZ99dVXuu+++/T3v/+9VPlffvlFt912m/785z/rvPPOU+PGjZWbm6uMjAzt379f559/vgYNGiSpKOlzzTXXKCUlReedd54aNGig7OxsrVy5UocOHdLvfvc7o4HcT/R7PdYf//hHPfPMM3rnnXfUsWNH/fjjj/ryyy/ldrs1ffr0Mr+AV5EzzzxTLVq00KpVq1RQUKC4uLhyy3322WcaOnRoyd/Z2dlav369tm3bJpfLpZdffrlkkPJTYdSoUfrkk0+0ZMkStWnTRhdffLEsy9LHH3+sw4cPa+DAgbrrrrtK1Zk2bZp69uypF198UR9++KE6d+6sbdu2afXq1brzzjvLJBYl6cEHH9R3332nf//732rXrp06d+6spk2bKisrSz/99JO2bdumq6++Wtdff32pelu3btWuXbt0+eWXV7iOAQAAjkUPLAAAItgFF1ygzz77TBdffLF++uknLVy4ULGxsZo3b57+/Oc/lynfqlUr/f3vf9eFF16ozMxMvfPOO/rPf/6j5s2bKz09XcuXL1dsbKykoscKn3jiCXXp0kWbNm3S3Llz9dVXX6ljx46aOXNmSI8onor3eqwePXpoxYoVatCggRYuXKjvv/9effv21fLly3X55ZdXOQaHw6Hbb79dhw8f1oIFCyost3Xr1pKB8WfOnKklS5YoGAzq5ptv1hdffKEbbrihyss8EVwul95//31NnjxZLVu21AcffKClS5eqXbt2mjp1qt5++205naVvA9u0aaNVq1bp97//vfbt26f58+fLsiy99957ZRJQxZxOp9544w29/fbbuuiii7Rlyxa98847+u6771S/fn2NHz9ef/vb38rUe+ONNyQVJR4BAACqwmGdzFFFAQAAbDR+/Hg99thjmj59eqkeUSb27t2rFi1aqF+/fnr//fdtaRP/Y1mWzjzzTB05ckTbt29XTAwPBAAAgMrRAwsAAOAYDRo00D333KOFCxdq48aNpzqc0857772nTZs2acKECSSvAABAlZHAAgAA+JUHH3xQtWrV0uOPP36qQzmtWJalCRMm6Oyzz7atxxwAAKge+NoLAADgV2rWrKkDBw6c6jBOOw6HQ2vXrj3VYQAAgCjEGFgAAAAAAACIaDxCCAAAAAAAgIhGAgsAAAAAAAARjQQWAAAAAAAAIhqDuEe4+Ph4+f1+paamnupQAAAAAACQJGVlZSkmJkb5+fnlzi8oKFBhYeFJjsoesbGxiouLO9Vh4FcYxD3Cud1u+f0BuT1JpzYQh1l1S5b8BUcUE5ckhyO8xizD/oKWy6y+JDlcQaP6Lof54RY03BhBy3BjSpLh23A6zdeDy2G2LZymb0Lm2yIQDG2ntixL/uw8xdRMKDmOgiG2UYbZapQkGW4KW2IwZsNhEREMd2vjbSnJETQNwjwGy3mcRixLPu+RoutqBdcj0+uNHWzZFgHDbWHHLeLxtkUVBF3mO4Rl+nWty3w9mF73TK95RW2YxeA8erK2LOnIgUIl1Ymt6BA6YSwbThB+wwPcb3rdlRQMmLXh9BuHIKffcL/2BcyDMD3H2LEDugw/IIS7KS2p0HdEsW7zz3iOgPn5wQqG10ahCuSQQ0GrbP2CggK1aJakvfts2FdOgQYNGmjbtm0ksSIMPbAiXGpqqg4czFW3yx42asc0eROMMbtAFMQUau2/H1KH3z0gV2x4J4G8emYx5LYwP3nWaXbQqH79pMPGMRzymp1Ef8lNMI7B9H6jTlKecQzNk81+3j45xmscwy+FZuty26HaIZUP5Hq15poXdM7//UmuRI8k6ef9KUYxuHZ7jOpLUsLPZsdmbLb5h0PT3LA/3jgEBTxm68GOhEXsIbMVkbDf/FNRbLbPqP5xk09VlF8vtsJ5fl+Bvpz/sM69/C+KcZd/Ps2vY/4B1fS6G59lvkMk7Sz/G/Gqch0qMI7BVyfRqH52G/MPDjltzeoHm5qtR0lqVCfHqH7TGmb3H5J0Rny2Uf367kOSpIIjfj3c7RP9ZXEvxSWF9lHCaXiiO+g3258kacuRekb1N/1S1ziGX3bVNKqf/IP5R7h6X5vt1+4NPxnHEMg2Oy5ctWoZx2A1qW9U358S3g2E31+gTzMe12+7jpLHZ3bBcO3ab1Rfkvx7fw6r3qfWwgrnFRYWau++gHasaa7kGhHwzVAIDh0OqlmX7SosLCSBFWFIYAEAAAAAANsl1XAoqUZ0dXU3fcoCJ050pUIBAAAAAABQ7ZDAAgAAAAAAQETjEUIAAAAAAGC7gBWU6W+KnGyBcgalR2SgBxYAAAAAAAAiGgksAAAAAABgu6CsqHyFo6CgQI8++qjatm2ruLg4NWrUSMOGDdOuXbtCamfFihV67LHHNGDAANWtW1cOh0Pt27evfF0Hg3rhhRfUoUMHxcfHq27durruuuv03XffHbfewoUL1adPH6WkpCg5OVl9+vTRwoUV/8LkqcQjhAAAAAAAAGEqKChQ3759lZGRoYYNG+rqq6/W9u3bNX36dC1cuFCff/65WrVqVaW2Ro4cqXXr1oW0fMuydP311+vtt99WzZo1NWDAAGVlZWnevHlatGiRli1bpm7dupWpl56erpEjRyomJkaXXHKJPB6Pli5dqrS0NE2ePFkjRowIKY4TjQQWAAAAAACwXVBBRduIUuFE/NRTTykjI0Pdu3fX0qVLlZSUJEmaNGmSxowZo2HDhmnFihVVauvSSy/V73//e3Xt2lWpqanq3LlzpXWmT5+ut99+W23atNHKlStVv359SdK8efN07bXX6qabbtIPP/ygmJj/pYA2b96sMWPGyOPxaNmyZerevXvJ9B49emjMmDHq37+/2rRpE+rqOGF4hBAAAAAAACAMPp9PU6ZMkSRNnTq1JHklSaNHj1bHjh316aefas2aNVVq79lnn9WDDz6ofv36qVatWlWq89xzz5XULU5eSdI111yjq666Slu3btX8+fNL1Zk8ebL8fr/uvPPOkuSVJLVt21YPPfSQ/H6/0tPTq7T8k4UEFgAAAAAAQBg+++wzZWdnq1WrVurUqVOZ+ddee60kacGCBSdk+du2bdN3332n+Ph4DRgwoMrLLx7nqnj+sa677rpy65xqPEIIAAAAAABsF7AsBazwBkU/VUKNt3i8qooe9SueHuq4VqEu/+yzz5bb7a7S8rOzs5WZmSlJ5SbdGjdurNTUVO3YsUM5OTlKSUk5EaGHjB5YAAAAAAAAYShOBDVu3Ljc+cXTi8tFwvKL/1+rVi0lJiZWud6pRg8sAAAAAABgu6AsBRVdPbCK4z106FCp6R6PRx6Pp0z5I0eOSJISEhLKba84QVRczm7hLL+yOhXVO9XogQUAAAAAAHCMJk2aKCUlpeT19NNPl1vOOvrIocPhOO78E6Wy5Ydb50THHQ56YEUByyUdaeQya8MwVWm5qn4wlMcXLKpfUNshlye8tvxJlZc5HivG/Adc/QGzFZnrizWOocBvdtgGg2bb0g4ByzyGI76y336Ewh80O6Yk6ZAvzqi+1xfatgz4A0X1/DFyHa1rBczWpR17g+n5JWC2KY/GYPZO/BV/+VRlpu/DYcM9ghXCjUv5DZjfFvgSzY6tQNmhG0JWUKfinTLgLYovt6FLLk/5sRbaMcyD4SXHWWj+HWNcgtnKdOYVGsfgCJitCJfX/MBwes3Wpd9nvi18QbM2TK95krTHkWxU/5fCom/iC3OL9otNufUV6wjtvsZveME44C3/MZdQ7Ms1u6E8dNj8gmG6T9px8fYnmp3v3am1jWOIiY83qh+sU9M4Bm8Ds/3BHx/etvT7jt7T1XLLlW+2LVzxZvejkuRwh/kZxfwyEdF27typ5OT/nTvL630lSTVq1JAk5ebmljs/Ly9Pkkr9OqGdKlt+8fRjl19ZHenExx0OElgAAAAAAMB2QVkKROkjhMnJyaUSWBVp2rSpJGnXrl3lzi+eXlzObuEsv/j/Bw8eVG5ubrnjYJ3ouMPBI4QAAAAAAABhOOeccyRJX3/9dbnzi6d37NjxhC7/22+/lc/nq9Lya9asWZKYWrt2bZk6u3btUlZWlpo2bRoxv0AokcACAAAAAAAnQPEg7tH2CkXPnj2VkpKirVu3lpsMevvttyVJV155pS3r9NdatGihM888U/n5+Vq0aFGVlz9gwIBS8481d+7ccuucaiSwAAAAAAAAwhAbG6vhw4dLkoYPH15qXKlJkyZp/fr16tWrl7p27Voy/cUXX1T79u31wAMP2BLD6NGjJUnjxo3Tvn37Sqa/8847ev/999WiRQsNHDiwVJ2RI0fK5XLp5Zdf1qpVq0qmb9myRU8++aRcLpdGjBhhS3x2YQwsAAAAAACAMP31r3/VRx99pIyMDLVp00a9e/fWjh07tHr1atWpU0fTp08vVT4rK0ubNm3Snj17yrT1r3/9S//6178kSV6vV5K0Y8cO/fa3vy0p89JLL6lz584lfw8bNkyLFy/Wu+++q/bt26tv377KysrSihUrFBcXp9dff11ud+kfd2nXrp0mTpyo0aNHq3fv3urXr59iY2O1dOlS5efna9KkSWrXrp1t68gOJLAAAAAAAIDtApalgBVdg7iHE29cXJyWLVump59+Wm+88Ybee+891apVS0OGDNHjjz+uJk2aVLmtXbt2afXq1aWmFRQUlJp26NChUvOdTqfmzp2ryZMn69VXX9XChQuVmJio3/3ud5owYYJ+85vflLusUaNGqXXr1po4caJWrlwpSerSpYvGjh2rq666qsoxnywksAAAAAAAAAzEx8drwoQJmjBhQqVlx48fr/Hjx4c873hcLpdGjx5d8jhhVaWlpSktLS3k5Z0KJLAAAAAAAIDtgkdf0STa4q1OGMQdAAAAAAAAEY0EFgAAAAAAACIajxACAAAAAADbBWQpoCgbxD3K4q1O6IEFAAAAAACAiEYPLAAAAAAAYLuAVfSKJtEWb3VCDywAAAAAAABENBJYAAAAAAAAiGg8QhgFLJd0qJVhG06zfpCm9YPeoCQpt0lQzrhgeDHEmsXg8IS33GMV+l1G9bPz4k95DH6/ed7a5TLbFgU+81PPLwWJRvUdDvO+wbmFsWb18z0hlQ/mF8Wclx8rp+NoXa/Z/mDHGJUBs9Ugy+EwjiHoNqvvTzRfEYHQNucJ4Tc8xfgTzLeFwzJrw59gvi0KawUqnBfML5p3uFVAzvjyy1mJFdevMq/ZudYRND9PxmWbteE+bHhgSXL6zK697jzz/cF9xKy+N898WxzOjzOq77ThmpWVb3bd9PqL1kMgzytJ2nCgkVwhXsfyC832qYJ8wwuOpIDh9nQU2HAfVWB2njS95klSfh3T+4c6xjGY7tYFtcyPzYLaZtsi3HuYQGFR7EcaxciZbbZB3QfMP184E8Nsw1f5+w8efUWTaIu3OqEHFgAAAAAAACIaPbAAAAAAAIDtgnIoIPMe3idTMMrirU7ogQUAAAAAAICIRg8sAAAAAABgu6BV9Iom0RZvdUIPLAAAAAAAAEQ0ElgAAAAAAACIaDxCCAAAAAAAbBeIwkHcoy3e6oQeWAAAAAAAAIho9MACAAAAAAC2owcW7EQPLAAAAAAAAEQ0ElgAAAAAAACIaDxCCAAAAAAAbBe0HApa0fVIXrTFW53QAwsAAAAAAAARjR5YAAAAAADAdgziDjvRAwsAAAAAAAARjQQWAAAAAAAAIhqPEEYDlyV3y8NmTbiCRvUdDsuofuFhnyTJ0/iIXAm+sNrw+VxGMciGwfhMYzB+D5KCQcO8sy2DEgaMant9buMIfAGzdRkImOfvvV6z9xHIDa1+ML/oOCw87JHT75EkOfPN3ofDbFNKkoKGmzMQb3Z+kSR/vFn9YILZOVKSrBjDNmw4NoOxZvtDIMF8WwRN7yxSwrtGHKtGzbwK5wXyvJKkpMaH5UooLLdMUpzXOIZfDica1S88nGQcgzfZbH+ISzQ/V7vyzLZnTL75sek+bLYeYnLMr915CR6j+n6/+TUraHjd8xUUHdzB/KL94kBWkpzxcSG14cgzO0E4883Pk26/YRvmp0ljvhrmQRxpbLY/5KfGGscQNDssVJhiw/2D4XXPlR9evWBB0XLzGllyu8y2RXxyaMdheWITw7tmOXIqP54CcioQZf1mbLg9xgkSXXsSAAAAAAAAqh16YAEAAAAAANtZlkNBW54AOXmsKIu3OqEHFgAAAAAAACIaCSwAAAAAAABEtKhKYE2aNEmDBg1SmzZtlJKSIo/Ho2bNmmnIkCHauHFjmfLvv/++hgwZog4dOig1NVVut1v16tXTFVdcoUWLFoW0bJ/Pp6VLl2r48OHq0qWLateurfj4eJ155pm67777tH///uPWX7hwofr06aOUlBQlJyerT58+WrhwYUgxAAAAAAAQLQJyROULkSmqElhPPfWUlixZotq1a6tv374aMGCA4uLiNGvWLHXu3FlLliwpVX7WrFl67bXXJEndunXTNddco5YtW2rJkiW68sor9cgjj1R52StWrNBll12mqVOnKicnRxdddJH69eunrKwsPffcc+rYsaM2bdpUbt309HSlpaUpIyNDPXr00MUXX6wvv/xSaWlpSk9PD3+FAAAAAAAAVANRNYj7/Pnz1aVLF8XFlf6p0GnTpunuu+/W7bffrszMTLlcRT93/NBDD+mVV15RnTp1SpVfvXq1LrnkEj3xxBMaPHiwzjrrrEqX7XQ6dcMNN2js2LHq1KlTyfScnBxdf/31+uCDD3TbbbcpIyOjVL3NmzdrzJgx8ng8WrZsmbp3714yvUePHhozZoz69++vNm3ahLVOAAAAAACIRAHLqYAVVf1mFLBOdQSoSFTtST179iyTvJKku+66S61bt9bu3btL9YLq1KlTmeSVVNQba/DgwbIsS8uXL6/Ssi+++GK98cYbpZJXkpSSkqLp06dLkj7//HPt2LGj1PzJkyfL7/frzjvvLEleSVLbtm310EMPye/30wsLAAAAAADgOKIqgXU8xb2uYmNjT0j542nYsKHq1q0rSdq9e3epecXjXF177bVl6l133XWSpAULFhjHAAAAAABAJAnKoaCcUfZiDKxIdVoksGbNmqVNmzapbdu2atmyZaXl169frzlz5sjtdqtv377Gy8/OztbBgwclSQ0aNCg1PTMzU5LK9NySpMaNGys1NVU7duxQTk6OcRwAAAAAAACno6gaA6vYxIkTtXHjRuXm5ur777/Xxo0b1ahRI73xxhtyOsvm5BYsWKB58+bJ5/MpMzNTGRkZcrvd+sc//qEWLVoYxzN16lT5/X516NChVHvFyatatWopMTGx3LqNGzdWVlaWMjMz1aFDB+NYAAAAAAAATjdRmcD64IMP9PHHH5f83aRJE7322mvq0qVLueXXrVunmTNnlvwdFxenF154QbfeeqtxLGvXrtUTTzwhSfrb3/5Wat6RI0ckSQkJCRXWL05sFZctTyAnVz8Om1ileFq8eE/5M1xmI9E5HGb1A3m+o/96w24j6DPsMGjZ0BXUcD3YIRiMgPXgChhVD/iDxiFYTrM2AgHzDqhBr9l6COaHVj+YX1DqX0lSgcsshgLz/cHymbVh+c2Pq6Dh2wg6bNgnYwzbsOHYdHgN92uzXVqSFDTbJaVYn3EMgdiKrzXF16HjXY/8gfCvVf9bjumxaX6LFig0q+/3m68Hy2+2PQ2rS5IChWbrMlhQeZlK28g3W5cBy3xFWIbXvaC3aD0Wv5dw3pMj33C/tuGaJb9hG6f+VlA27A5yeA3Xg/npQaZX3mCBDfcPTsPPSGHuk0FvQcm/5udq85OUMxjeBrWkSh+2C8ihQJQ9khdt8VYnDsuyIuA0HJ7s7Gxt2LBBEyZM0EcffaQnnnhCDz30UIXlCwoK9OOPP2ratGmaNm2aBgwYoHnz5oU9DtbevXvVvXt3bd++Xffee6+ef/75UvP/85//qFevXmrcuLF27txZbhs9e/ZURkaGMjIySg3yXqxhw4bau3dvWPEBAAAAAHCieJwJKgjklpl+6NAhpaSk6P31rZRYw/TbrZMr93BAV3XcqpycHCUnJ5/qcHCMqOyBVaxmzZrq3bu3Fi9erO7du+vhhx/WpZdeqq5du5ZbPi4uTmeffbamTp2qmJgYpaena8qUKRozZkzIy87JyVH//v21fft2XXfddXruuefKlKlRo4YkKTe37AFdLC8vT5KUlJRUYRlXSmLFPauqyHWKe2AVHvbppz89r5b/GCVXgiesNvz0wJIUGT2wnIY9sNyx5r1dnBHQA6vQa3YKDeS5QyofzC/Q7nFPq9GzD8gZX/SLrM5csxuCmFwbev2Y9sAyPD9JUiDerH4wnh5YkuSMhB5YKeZdC5JS8iucF8jzavMfJqvt/42s8HqU6DHvWnDwSMW9r6sisKPi+4KqStlUeZnjSd5hvh5ceWbbs7BW2V+fDtWhZmbn6iNNjUNQoIHZunTHnfoeWL5jemDtHv2MGk26X8740O7pHHlm28JpQw8s52nQA8thQw+smDyz9eCyo2dieB8JSviSzTeGP8GsDVd++D2wdjzzuJrd/7CS95md52p9X/E1r6pid+wPq96ne1+rtEzAcipgRdfQ24Ho7eNz2ovqBFYxt9ut66+/XmvWrNGCBQsqTGAd6+abb1Z6errmz58fcgIrPz9faWlp+uabb3TppZfq9ddfL3fsraZNi+54Dh48qNzc3HLHwdq1a1epsuVyOORKMDuxuVxmH6xME1iuozdNrgRP2AmsoM/wU9FpksDSaZDAcsWaf0o2TWDJhgSW0xVaAurXLCu8+s74uP8lsAJmx4UzYMP+4DRMYMWYH1eW6Wfc0yWBVc61KBROv3EI5ncW8ebf0roSKt8Wx7sexZjnTOQKmjVixZkH4TL8oeWYGPN90hVj+Cil2471YJg0sWF/sOINkwU2HBdBw+ue01l6PTrjPSXXoqpyWIbbwobHek6HBJbThs4sLsPrvw3fPclhmMAKxJkH4TRsw2l47XZ64uSKNTvJxNhwHxXjDG9j8KAdTrbTIoElSampqZKk/furlj0OtXwxv9+v6667TitXrlSPHj30zjvvVPgIYs2aNdW0aVNlZmZq7dq16tWrV6n5u3btUlZWlpo2baqUlJQKl+l2BXRuw/+GFOeveVx2fCoJ3y9xDm2R1K7uPrkTw7ujzso3+zb6YJ5hFw1J+QVmCYuA3/yOwzJNONhypTF7HwX5NtyIG96AWl7zGByG7yMmxG/tisfEifklRs64ov+7DMdNcJjeyEsKus1unPyJNoxhkWSWFHXEmSdVTdekHfukDG9ijXtPSbI8Zok8T4LhTi2pRlzl41slebwVJqrchkl6yfyLn6ANH0j8CWYJi8IU89tEt2mC244P6oa7lNuGnqqBw2b3D16/Db0XDHcpx9FzVPE4Vo68mJATUs48s/dhui0lGQ+8FDTblJKkQLzZxrDc5l+6eOsaNmDH98IJZp9PEpLMe4l6DL8QPZxV/g91VSaYX9SNzlfXJ2+h2WcUbx3DbyskxRypGVY9a2909axC9Dtt9rgVK1ZIklq1anVCykuSZVkaOnSoFi1apHPPPVeLFi2q8NcFiw0YMECS9Pbbb5eZN3fuXEnSlVdeWeUYAAAAAACIBkE5ovKFyBQ1CayVK1dqzpw58vtLZ+p9Pp+mTJmi1157TfHx8br++uslSfv27dNzzz2n7OzsMm19+OGHGjdunCTptttuKzXviy++UPv27dW3b98y9UaOHKnZs2erffv2Wrp0qWrWrFlp3CNHjpTL5dLLL7+sVatWlUzfsmWLnnzySblcLo0YMaLSdgAAAAAAAKqrqHmEcOvWrbrtttuUmpqqLl26qE6dOsrKytKGDRu0Z88excXFacaMGWrSpImkosHR77vvPj388MM677zz1LhxY+Xm5mrz5s364YcfJEmjRo3SNddcU2o5eXl52rRpkwoKSo9MOH/+fE2ZMkWS1KRJE40dO7bcOO+//361b9++5O927dpp4sSJGj16tHr37q1+/fopNjZWS5cuVX5+viZNmqR27drZtp4AAAAAAIgEQTkViJ5+M5KkYCQMdodyRU0Cq0+fPnrwwQe1YsUKrV+/XllZWYqNjVXz5s117bXXasSIEWrdunVJ+Xr16unZZ5/V8uXLtXHjRn311VcKBoNq2LChBg8erDvuuEMXXnhhlZd/8ODBkv9/+OGHFZYbOnRoqQSWVJQoa926tSZOnKiVK1dKkrp06aKxY8fqqquuqnIMAAAAAAAA1VHUJLBatGihJ598ssrlExISNHbs2Ap7SlXkwgsvlFXOz2YOHTpUQ4cODamtY6WlpSktLS3s+gAAAAAAANVV1CSwAAAAAABA9AhYTgWs6HqEMFBOhxZEhujakwAAAAAAAFDt0AMLAAAAAADYLiinglHWb4ZB3CNXdO1JAAAAAAAAqHZIYAEAAAAAACCi8QghAAAAAACwXcByKGA5TnUYIYm2eKsTemABAAAAAAAgopHAAgAAAAAAtgvIGZWvcBQUFOjRRx9V27ZtFRcXp0aNGmnYsGHatWtXyG1lZ2fr3nvvVbNmzeTxeNSsWTONHDlS2dnZZcpu375dDoej0tewYcNK1ZsxY8Zxyw8ePDis9XAi8QghAAAAAABAmAoKCtS3b19lZGSoYcOGuvrqq7V9+3ZNnz5dCxcu1Oeff65WrVpVqa0DBw6oe/fu2rJli1q2bKmBAwdq48aNSk9P1+LFi7Vq1SrVqVOnpHxSUpKGDBlSYXtz5sxRQUGBevfuXe78c845R+eee26Z6d26datSvCcTCSwAAAAAAGC7oOVU0IquB7+ClhVynaeeekoZGRnq3r27li5dqqSkJEnSpEmTNGbMGA0bNkwrVqyoUlujRo3Sli1bNGjQIM2ZM0cxMUVpmxEjRmjKlCkaPXq0Zs6cWVI+NTVVM2bMKLetH374QTNnzlR8fLyuueaacssMHDhQ48ePr/qbPYWia08CAAAAAACIED6fT1OmTJEkTZ06tSR5JUmjR49Wx44d9emnn2rNmjWVtrV3717Nnj1bbrdbL730UknySpImTpyounXravbs2fr555+rFNtrr70mSbr66quVnJwcytuKSPTAigKxjoAuqLX5lMZQYLmN6u8NxGqhpDNr7JUnKby2dsfWNIphZ4xZfUn62VHDqH5unsc4Bn/AZVTfCpj/qkbAZ5j7Nq0vyZln1oY713w9xOSZteEqDK18wFu0vLgsh1yeov87gkYhKGh2aEuSCg3bsDyhf8v1a854v1F9V4zhipTk95kdm7Lh2JQ/An41x3BV+n3mtya/HEmocF7g6LnjYG68XFZc+TH4zc9RvkNm53t3gfm2DMaa1c+vY7hPSyqsYbYugy7z9eCPM2vDETAOQc58s/UQcJmfJ+U0a8M6GsOx/1ohxhWMMztBWDbsD6bsuGaphs+oemKS1ziEpDizNhJjQ7yJKUctT55R/Rpu8/Vw0Fvx9aIqNoV5zQocjd2T7JU312yfym1gfq4OusP7jGN9f+qPyUjw2WefKTs7W61atVKnTp3KzL/22mu1fv16LViwQF26dDluW0uWLFEwGNRFF12k+vXrl5rn8XiUlpamV199VUuWLNHQoUOP25ZlWXrjjTckSbfccktobypCkcACAAAAAAC2MxkU/VQJKLSk4rp16yRJnTt3Lnd+8fTicqZtvfrqq1Vq67PPPtP27dtVt25dXXrppRWWW7NmjcaOHatDhw6pQYMGuvjii9WnT59K2z8VSGABAAAAAACEITMzU5LUuHHjcucXTy8ud7Laev311yVJN9xwQ6lHEX9t4cKFWrhwYcnfEyZMUJ8+fTRnzpwyvcBOtehKhQIAAAAAgKgQlBSwHFH1Kn7Y+dChQ6VeXm/5j60eOXJEkpSQUP4jqYmJiaXKHY9dbRUWFmru3LmSKn58sGHDhho/frzWrl2rnJwc7d27V++//77at2+vFStWaMCAAQoEbHiO3kYksAAAAAAAAI7RpEkTpaSklLyefvrpcstZR3+10OEof0wwK4RfNbSrrYULF+rgwYNq3769zjvvvHLLXHbZZXr00Ud17rnnKjk5WfXr11daWpq+/PJLtW3bVmvWrNGcOXOqHPvJQAILAAAAAADgGDt37lROTk7J64EHHii3XI0aRYPg5+bmljs/L6/oBwuO/XXCitjVVvHjg+EM3p6UlKQRI0ZIkj744IOQ659IjIEFAAAAAABsF5RTwSjrN1Mcb3JyspKTkyst37RpU0nSrl27yp1fPL243IluKzs7W4sXL5bD4dBNN91U6TLL06ZNG0nSnj17wqp/okTXngQAAAAAABAhzjnnHEnS119/Xe784ukdO3Y8KW299dZb8nq96t27t5o1a1bpMstz8OBBSVXrNXYy0QMLAAAAAADYLmA5FbCiq99MqPH27NlTKSkp2rp1q9auXatOnTqVmv/2229Lkq688spK27r88svldDq1cuVK7du3T/Xq1SuZ5/V6tWDBAjmdTvXv37/CNkweHyw2b948SVKXLl3CbuNEiK49CQAAAAAAIELExsZq+PDhkqThw4eXGr9q0qRJWr9+vXr16qWuXbuWTH/xxRfVvn37MuNqNWzYUDfccIMKCwt19913y+/3l8wbN26c9u/frxtvvFENGjQoN5YdO3bos88+k8fj0XXXXXfcuNPT08v8mqHP59Njjz2muXPnKj4+XkOHDq3SOjhZ6IEFAAAAAAAQpr/+9a/66KOPlJGRoTZt2qh3797asWOHVq9erTp16mj69OmlymdlZWnTpk3ljjH1wgsvaNWqVZo3b17Jrwhu3LhR3377rVq1aqXnn3++wjhmz54ty7J01VVXKSUl5bgxjxw5Uvfff7/OOussNWvWTAUFBfrmm2+0e/duxcXF6fXXX9cZZ5wR3go5QeiBBQAAAAAAbBeUIypfoYqLi9OyZcv08MMPKyEhQe+99562b9+uIUOGaO3atWrdunWV20pNTdWXX36pe+65R4WFhXr33XeVk5Oj4cOH64svvlBqamqFdWfPni1JuvnmmytdziOPPKJevXpp3759WrJkiT755BMlJCTojjvu0DfffKNBgwZVOeaThR5YAAAAAAAABuLj4zVhwgRNmDCh0rLjx4/X+PHjK5xfq1YtpaenKz09PaQYNm7cWOWyjz32WEhtRwISWAAAAAAAwHbVYRB3nDxsGQAAAAAAAEQ0ElgAAAAAAACIaDxCGAXcDr+6xm8zaiPXijWqnx1IMKof7ylafgvPPsV7wtvtUlz5RjEkx5jVl6Q4l7/yQsex03n8X4KoikOHzbaFP9/8sHfkuYzqxxw2z53H5oQ+uOKx3IeNQ1BMvmVU3xkIrXygsGh58VmWXLFF/w8abk5/gtl6lCR/nGEbZqvRFpZlvh4sv9l+7Sg0j8Fp2obTfGMEDddDINf8HJV/2F3hvGB+UXwFBxLkzIsrt4yzwPwc5c4z2xYx+TYcm/Fm9X2JNhwXTsM2zEMwZrnMjwtH0LC+34ZtEWf4PmKOXrSCR//1BIpeocTgMQvBCtqwQxiuBmeI77k8STUKjOqfkZJjHEPzpF+M6tePPWQcQw2X2XooCFZ8rq+qraprVD8hzhtWvUCw8Gj9QuXUNNuncs8wuy+XpMKU8NqwqlAtIKcCUdZvJtrirU7YMgAAAAAAAIho9MACAAAAAAC2C1oOBW3o6X4yRVu81Qk9sAAAAAAAABDR6IEFAAAAAABsF4zCMbCCURZvdcKWAQAAAAAAQEQjgQUAAAAAAICIxiOEAAAAAADAdkHLqaAVXf1moi3e6oQtAwAAAAAAgIhGDywAAAAAAGC7gBwKyHGqwwhJtMVbndADCwAAAAAAABGNBBYAAAAAAAAiGo8QAgAAAAAA2zGIO+zElgEAAAAAAEBEowcWAAAAAACwXUDRNyh64FQHgArRAwsAAAAAAAARjQQWAAAAAAAAIhqPEEYBl0NqFuMzamN/wG9U32e5jOonOBxH//UpwRkMq41Y90GjGDxOs3Voh4KA+SFXUOg2qu/PNasvSa5cs9y356B5N+K4LMsshsPh7YfHcvrMYrBcoa0Hv68oZnduUDGFRf/3JZitS398BHTpNluNRU0EzPbJgGVDEIVmMTgLzbeF07DPe9COLv5Bw3Xpt2E9HG9beIvmOb1OOR3ll3PlmcfgMtyeQbf5PulPMWsjkGz+EIUzwez+ww7BfLNrryPP7B5IkoxvQYJ2HJtm1R1Oq8y/xf8PtY1wWXasB0Mut/lxkeApNKpfP/6wcQyt4/cZ1W8ce8A4BlO7fbVOdQhyu8I7sJxHPw+5nUE54s3Ok4Up5n1SArHh1avKWOcM4g47sWUAAAAAAAAQ0eiBBQAAAAAAbBewnApEWY+maIu3OmHLAAAAAAAAIKKRwAIAAAAAAEBE4xFCAAAAAABgO0sOe34k5iSyoize6oQeWAAAAAAAAIho9MACAAAAAAC2YxB32IktAwAAAAAAgIhGAgsAAAAAAAARjUcIAQAAAACA7YKWQ0ErugZFj7Z4qxN6YAEAAAAAACCi0QMLAAAAAADYLiCnAlHWbyba4q1O2DIAAAAAAACIaPTAAgAAAAAAtmMMLNiJHlgAAAAAAACIaPTAigKWpALLMmojJxhnVH+vv6ZR/f/644/+W0txvvB2O5/lMorBG3Qb1Zek/GCsUf2AZZ4zDgQM2/CZf6MQk2/Whvuw2f4sSZ5DQbMYjgSMY5DDbD34kkKrX7z7WM7//d8fbxZDYbJR9aIYksy2p+Ux25aS5HSZtRH0mx+bDsNjy2nDsen0GTZgdoqTJAVND28bvlqz3BUHYfmL5lkxVoXlAgnmMQTizVZEMM78uHAlm+0QdWseMY6hQdJho/pOmV8vfs5LMqq/74D5iTKYbXZwOfw29AYwPM9ZBcX/ukr+tRyh3ZtZpr0azA8L43NMwGm+T5pKdBUat5Eac8iofk1nnnEMh4PxRvWPBMw+30hSjs+sjfzC8D5fBHxFO3O+zy3L8Nh0+Y2qS5Kc4bZx6g8HVDMksAAAAAAAgO2CcioYZQ9+RVu81QlbBgAAAAAAABGNHlgAAAAAAMB2AcuhQJQNih5t8VYn9MACAAAAAABARCOBBQAAAAAAgIjGI4QAAAAAAMB2QcuhYJQ9khdt8VYn9MACAAAAAABARKMHFgAAAAAAsJ1lORW0oqvfjBVl8VYnbBkAAAAAAABENBJYAAAAAAAAiGg8QggAAAAAAGwXkEMBRdeg6NEWb3VCDywAAAAAAABENHpgAQAAAAAA2wUtKWhFV4+moHWqI0BF6IEFAAAAAACAiEYCCwAAAAAAABGNRwgBAAAAAIDtgpZTQSu6+s1EW7zVCQmsKFBoubQiv5lRGzu8qUb1t+bVNaq/64BH0nIty2ond35sWG3k+sKrV6ww4DKqL0lHCjxG9fPyzOpLkv+w26h+zCHz9RCTZ1i/wDgEOQOGD6c7zJ/FD3jM2ihICe3iGCgsKu9NdsofW/T/vAaGMdQPGNWXJGetQqP6CXFm9SXJMhxboeCI+bHp8JnF4Cow3yedpqvShjEfHLFm78PyBI1jsOIrbsNS4GiZgKz4Cvb/GuYxxLjNjq3EePPjonZCvlH9BomHjGM4Iy7bqL7TYb5TxsX4jOoXFJpddyUp22t47c01v3Y7Cs2OTWde0ccGR0HRv67DMXL6Qvso4TTbFHL6zepLUtDsdlI+l/k+abpf13Qb3ohJqhNzxKi+y2F+ntzvr2FUf3NuPeMYduTUNqp/OCc+rHrB/KLj8cihOMXkmn0kjz1onmxx54ZXz4ZT9GmloKBATz/9tP79738rMzNTtWvX1uWXX64JEyaocePGIbWVnZ2t8ePH691339XevXvVoEEDDRw4UI899phq1qxZpvzQoUM1c+bMCtubNm2a7rzzznLnLVy4UBMnTtQ333wjy7LUqVMnjR07VldeeWVIMZ8MJLAAAAAAAIDtgnIoqCgbxD2MeAsKCtS3b19lZGSoYcOGuvrqq7V9+3ZNnz5dCxcu1Oeff65WrVpVqa0DBw6oe/fu2rJli1q2bKmBAwdq48aNSk9P1+LFi7Vq1SrVqVOn3LqXXXaZGjRoUGZ6u3btyi2fnp6ukSNHKiYmRpdccok8Ho+WLl2qtLQ0TZ48WSNGjKj6SjgJSGABAAAAAACE6amnnlJGRoa6d++upUuXKikpSZI0adIkjRkzRsOGDdOKFSuq1NaoUaO0ZcsWDRo0SHPmzFFMTFHaZsSIEZoyZYpGjx5dYW+r+++/XxdeeGGVlrN582aNGTNGHo9Hy5YtU/fu3Uum9+jRQ2PGjFH//v3Vpk2bKrV3MvBwJwAAAAAAsF3AckTlKxQ+n09TpkyRJE2dOrUkeSVJo0ePVseOHfXpp59qzZo1lba1d+9ezZ49W263Wy+99FJJ8kqSJk6cqLp162r27Nn6+eefQ4qxPJMnT5bf79edd95ZkrySpLZt2+qhhx6S3+9Xenq68XLsRAILAAAAAAAgDJ999pmys7PVqlUrderUqcz8a6+9VpK0YMGCSttasmSJgsGgLrjgAtWvX7/UPI/Ho7S0NAUCAS1ZssQ47oULF5aK71jXXXddlWM+mXiEEAAAAAAAIAzr1q2TJHXu3Lnc+cXTi8uZtvXqq69W2NY777yjefPmKRAIqEWLFkpLS1P79u3LlMvOzlZmZqYklZt0a9y4sVJTU7Vjxw7l5OQoJSWl0thPBhJYAAAAAADAdkHLqaAVXQ9+hRpvcSKool8aLJ5eXO5EtlX8KGOxv/zlL7rrrrs0efLkUo8jFtevVauWEhMTK1xWVlaWMjMz1aFDh0pjPxmia08CAAAAAAA4wQ4dOlTq5fV6yy135MgRSVJCQkK584sTRMXljifctjp16qSXX35ZmzdvVl5enn766SdNnTpVNWvW1EsvvaSxY8eGtJxQ4z5ZSGABAAAAAADbBeVQ0Iqyl4oGcW/SpIlSUlJKXk8//XS579GyLEmSw1H+4O/F86si3LZGjhypO+64Q23atFF8fLxatGihu+++W59++qliY2M1ZcoU7dy5s8rLCTXuk4UEFgAAAAAAwDF27typnJycktcDDzxQbrkaNWpIknJzc8udn5eXJ0mlfp2wIna2JUlnn322rrrqKgUCAX300UdVXk44yzoZGAMLAAAAAADgGMnJyUpOTq60XNOmTSVJu3btKnd+8fTicierrWJt2rSRJO3Zs6fMcg4ePKjc3Nxyx8EKZ1knGj2wAAAAAACA7SwVPZIXTS9LFT9WV55zzjlHkvT111+XO794eseOHU9qW8UOHjwoqXRPqpo1a5YkptauXVumzq5du5SVlaWmTZtGzC8QSiSwAAAAAAAAwtKzZ0+lpKRo69at5SaD3n77bUnSlVdeWWlbl19+uZxOp1auXKl9+/aVmuf1erVgwQI5nU7179+/SrF5vV4tWrRIktSlS5dS8wYMGFAqvmPNnTu3yjGfTCSwAAAAAACA7U75gOxhvkIRGxur4cOHS5KGDx9ealypSZMmaf369erVq5e6du1aMv3FF19U+/bty4yr1bBhQ91www0qLCzU3XffLb/fXzJv3Lhx2r9/v2688UY1aNCgZPqmTZs0f/58BQKBUm3t379fgwcP1s6dO3XOOeeoR48epeaPHDlSLpdLL7/8slatWlUyfcuWLXryySflcrk0YsSIkNbFicYYWAAAAAAAAGH661//qo8++kgZGRlq06aNevfurR07dmj16tWqU6eOpk+fXqp8VlaWNm3aVGpcqmIvvPCCVq1apXnz5ql9+/Y677zztHHjRn377bdq1aqVnn/++VLl9+zZo4EDB6pOnTpq3769zjjjDO3bt09r1qzR4cOH1bhxY7311ltlfnGwXbt2mjhxokaPHq3evXurX79+io2N1dKlS5Wfn69JkyapXbt29q8sA/TAAgAAAAAACFNcXJyWLVumhx9+WAkJCXrvvfe0fft2DRkyRGvXrlXr1q2r3FZqaqq+/PJL3XPPPSosLNS7776rnJwcDR8+XF988YVSU1NLlW/btq3uvfdetWnTRlu3btW7776rr776Sm3atNGjjz6q9evXq23btuUua9SoUXr//ffVvXt3rVy5Uh9//LG6dOmi+fPna9SoUUbr5ESgB1YUyA+4NWtXd6M2DhbEG9XPPpRgVN/7c1CS9MOWRnLGx4XVhjPXZRSDyxtaV9ByY/CZ1Y8JmsfgDlRe5nichcYhyFVg2IBlHkPAbbYuLaf5tvAmm30HkNcgtBgCR/fhvPoOuTxF/89vZrZB6zfKNqovSY2ScozbMLUnt/JfiDmegtxY4xichWb7VEy+cQjG5yg7BGMNj02PDd+txVW8IhyuYMm/xf//tfhEr3EItRLNNmjt+DzjGJJizN5HvMt8h/IG3cZtmAr1UZBfc8cYXnglOT1mbQR95seFI89sPRRf+x0F//s71KhiDGNw+isvUxl/2R/aConPYX4TUyvO7PzQwrPfOIY6ztzKCx3HvkAN4xh+yG9oVP/b/Wb1JengHrP7B/cv4X2cDhYU7UcxezyK85od3+5DRtWL2sgLc78u/zJauojlVNCKrn4z4cYbHx+vCRMmaMKECZWWHT9+vMaPH1/h/Fq1aik9PV3p6emVttWoUaMyvbJCkZaWprS0tLDrn0zRtScBAAAAAACg2qEHFgAAAAAAsF04g6KfatEWb3VCDywAAAAAAABENBJYAAAAAAAAiGg8QggAAAAAAGwXlENBRdcjedEWb3VCDywAAAAAAABENHpgAQAAAAAA2zGIO+xEDywAAAAAAABENHpgAQAAAAAA29EDC3aiBxYAAAAAAAAiGgksAAAAAAAARDQeIQQAAAAAALbjEULYiR5YAAAAAAAAiGj0wAIAAAAAALajBxbsFFU9sCZNmqRBgwapTZs2SklJkcfjUbNmzTRkyBBt3LixTPn3339fQ4YMUYcOHZSamiq326169erpiiuu0KJFi0Je/qZNm/T8889r8ODBatmypRwOhxwOh/bu3VthnRkzZpSUK+81ePDgkOMAAAAAAACoTqKqB9ZTTz2l3NxcdezYUR06dJAkbdy4UbNmzdKbb76p9957T/379y8pP2vWLL3zzjv6zW9+o27duqlGjRravn27lixZoiVLlujhhx/WhAkTqrz8adOmafLkyWHFfs455+jcc88tM71bt25htQcAAAAAAFBdRFUCa/78+erSpYvi4uJKTZ82bZruvvtu3X777crMzJTL5ZIkPfTQQ3rllVdUp06dUuVXr16tSy65RE888YQGDx6ss846q0rL79Chg/7yl7/o/PPPV9euXdW7d2/t2LGjSnUHDhyo8ePHV6nsr/n9Lm3e3CisusUchWad7WJyzbpRJv7sLfp3m1sujzusNjy/WEYxxB42qy9JzoBZG4FY8+6ovgSzNgKeU98lNuCxoRGH2T5t2dD/tKCO2brMP8MfUvlgflH5goZ+OeOL/t+saZZRDH3qbzGqL0kN3dlG9bP8NYxj+MJqblR/nzPZOAZnaJuzbH2vcQhyFZqe58zPD1aMWRuWy/zg9Me4Km6/wFXyr+Uov1wwwTwGT4zZDpEQU2gcg9Nhtj/k+OIqL1SJ/+alGNXP88Uax5BbGN59R7F8r3kMDtNDyx00jsEyvAexvEX1raOfHqyY//2/ym0YHlpBs00pSfInmB0XcSnmJ+t2NX42qt/GU/HTH1WV4PQZ1d/rrWkcw4aDZp9vDv7X7PwiSQk7zT4Ox2aHVy9QWHQ8JfzXoVjLbJ90BoyqS5IcYZ5iqnJWsSQFbbi/OJnMPzXiRImqRwh79uxZJnklSXfddZdat26t3bt3a9OmTSXTO3XqVCZ5JRX1eho8eLAsy9Ly5curvPw//OEPeuaZZzRo0CA1adIkrPcAAAAAAACA0ERVD6zjKe51FRtbtW/JQi0PAAAAAACqjkHcYafTIoE1a9Ysbdq0SW3btlXLli0rLb9+/XrNmTNHbrdbffv2PQkRSmvWrNHYsWN16NAhNWjQQBdffLH69OlzUpYNAAAAAAAQzaIygTVx4kRt3LhRubm5+v7777Vx40Y1atRIb7zxhpzOsk9FLliwQPPmzZPP51NmZqYyMjLkdrv1j3/8Qy1atDgpMS9cuFALFy4s+XvChAnq06eP5syZo/r165+UGAAAAAAAAKJRVCawPvjgA3388cclfzdp0kSvvfaaunTpUm75devWaebMmSV/x8XF6YUXXtCtt956wmNt2LChxo8fr6uvvlotW7ZUfn6+vvjiC40bN04rVqzQgAEDtHr16pJHGssTPHxEu8ZW7dcSG00YV+5000HcgwWGA4d7vUf/LQi/DcPBif2+Uz+Ie9B4FNf/DfoYdn0bYjBl2bAtZDi+sR2DuAe8ZuuyeFD2KpcvKCj1ryT5c80Gk/UeMRvEVZLy3WaDVRf4zWPw5ZrtEMG88M9NJW0YNmG6P0mSDI8tO84PAcNBloNu8/NDMLbifbK84+jXAjbsD/5Ys2PTFzQfxN0Kd1Te4hgC5gOHmx7edly7Az6z9xHwmq+HoNdslOWgt+L7xKpy5Ju1ESxwHv238mOoIqbnOcPfJZAkBQsMz5M2nB9Mr725Meb7ZIzTrI38AsNfLpH5PUww33xbBLxmH4cDYZ6qA4UFJf8GDAdxt07hIO6WZclRyb0DjxDCTg7LMjxiTqHs7Gxt2LBBEyZM0EcffaQnnnhCDz30UIXlCwoK9OOPP2ratGmaNm2aBgwYoHnz5oU9Dlbz5s21Y8cO7dmzRw0aNAip7pEjR9SlSxdt3rxZs2fP1o033lhuuYYNG2rvXvNfGgEAAAAAwE7u+BoqzDtUZvqhQ4eUkpKiCxfepZhEO36C/OTx53q1/MppysnJUXKy+S9Vwz5R2QOrWM2aNdW7d28tXrxY3bt318MPP6xLL71UXbt2Lbd8XFyczj77bE2dOlUxMTFKT0/XlClTNGbMmJMcuZSUlKQRI0Zo+PDh+uCDDypMYEmSs0ZShT2rqsq0B1ZMnlkW2rXPqx+nTVDrux6RyxPez3J7DprlWt1HIqAHluFPWEuSL96wB5bn1H+j4LThG3VXBPTAKqhtti5zm4XeA2v3g0+p0VMPynn0F1mbtNxvFEOveluN6ktSfXeOUf0D/iTjGNZkNzOq/8NO80e5Y3aGd24r5skyPzZdpj2wbDg/+Aw3pz/J/PzgTz5+D6zdf3lajf72QMlx9GueWubf6jesWfZmPhSp8bnGMcQY9sAqCJjfJub6zH4sJ8+wflEbZt0C872G3Qol+QzbCERAD6yYI//rgbXjmcfV7P6HKzyGKuLKPfU9sHwpZo24mh0xjuHS5j8Y1R9Qc51xDClOs/PclwXNjWN4Z3cno/rbt5pfu+P/a3aeiw3zFihQWKAfZk5Q+yGPKNYyS+44T2EPrA3vPl1pGXpgwU5RncAq5na7df3112vNmjVasGBBhQmsY918881KT0/X/PnzT0kCS5LatGkjSdqzZ8/xCzoccsabfTByuMw+rTuDhgmsox+KXJ64sBNYrlizG44YGx5LcToNPxy6zU+GxkkwG5Joppw23IGa3srbkcByGX7Yd8aH1/3eGRdXck4w/UbLk2T+wSzebXYpifObx+A2/JDrTDA7x0oK+YPcr5nuT5LkMj22bIghaPglazDOhnN1FY6tY4+jX3MlGIegmESzR2Pc8eaP1pomsAI2JLBifGY7RIwNCSxXodk5xuUyjyHgMovBctqQwDK8cjr9pS+czri40BNY/lOfwAoYnmNcCeaPzpleexNrmN/EJJUzbnAo4mNsOD8Y3sOYfj6SJJfH7H2Ynh5csXFyRXECq7LHBwG72fARLjKkpqZKkvbvr1pvhFDLnwgHDx6UVNQbCwAAAAAAAOU7LXpgSdKKFSskSa1atToh5U+EefPmSVKFg88DAAAAABCteIQQdoqaHlgrV67UnDlz5PeX7rbr8/k0ZcoUvfbaa4qPj9f1118vSdq3b5+ee+45ZWdnl2nrww8/1LhxRWNK3XbbbaXmffHFF2rfvr369u1rS9zp6ek6cqT0s/I+n0+PPfaY5s6dq/j4eA0dOtSWZQEAAAAAAJyOoqYH1tatW3XbbbcpNTVVXbp0UZ06dZSVlaUNGzZoz549iouL04wZM9SkSRNJUl5enu677z49/PDDOu+889S4cWPl5uZq8+bN+uGHooETR40apWuuuabUcvLy8rRp0yYVlPPTwF9//bXuvvvukr+Lx64aMGCA3O6iZ9lvv/123X777SVlRo4cqfvvv19nnXWWmjVrpoKCAn3zzTfavXu34uLi9Prrr+uMM86wd2UBAAAAAHCKWZZDVpT1aIq2eKuTqElg9enTRw8++KBWrFih9evXKysrS7GxsWrevLmuvfZajRgxQq1bty4pX69ePT377LNavny5Nm7cqK+++krBYFANGzbU4MGDdccdd+jCCy8MKYZDhw5p9erVZaZ//fXXJf+//PLLS8175JFH9Pnnn+uHH37Qd999J8uy1LhxY91xxx0aNWqU2rVrF9qKAAAAAAAAqGaiJoHVokULPfnkk1Uun5CQoLFjx2rs2LEhLefCCy+UZZX/6yTHm1eRxx57LKTyAAAAAACcDoJyKKjo6tEUbfFWJ1EzBhYAAAAAAACqp6jpgVWdOYJS/G7DTRVax7EyXIWG9XOKAojNseSKDS+Y+ANBoxjisgzfhCRHwCwGX3KscQxBl9m+4E8wDkEBj1l9R9D8W41f/Z5DyIJu4xBUkGp2YCXUzw2pfCDPK0mKr5cnV0JAktQ1dYdRDBclfW9UX5LqukJ7H7+21VfHOIadBbWM6m+KrWccg2X4lZDD8DwtSY6AWX2nzzwGl9esvuUyPz9YLleF8xwFRfNcuS45A+WXK4g1P1f/Emt2so1xmF1vJMnlNGsjxxtnHMOBQ4lG9b255ttChaYHp3kIijE7wB0x5vuDZXj997mK3kMwv+hE40sJyBkf2kknEG+2LSyX+YnSWdvsfrBV3SzjGNol7DWqn+gwv6f9JWC2Q3yX18g4hsx9tY3qx//X/KNs0i6zfSr2SHjHpt9XdOwk/hyQM87w80WCeZ8Uf5ine4aKwslGAgsAAAAAANguaDkUjLJMV7TFW53wCCEAAAAAAAAiGj2wAAAAAACA7SzLISvKejRFW7zVCT2wAAAAAAAAENFIYAEAAAAAACCi8QghAAAAAACwHYO4w070wAIAAAAAAEBEowcWAAAAAACwHYO4w070wAIAAAAAAEBEI4EFAAAAAACAiMYjhAAAAAAAwHZWFA7iziOEkYseWAAAAAAAAIho9MACAAAAAAC2syRZ1qmOIjRRFm61Qg8sAAAAAAAARDQSWAAAAAAAAIhoPEIIAAAAAABsF5RDDkXXoOjBKIu3OiGBFQUcluTKN2sj6Dasb7inWPFFJwF/vEOWJ7wTgi/R7EQSk2++uzsLg0b1A3HmJ0Nfoln9whrGISgQb/hkuA0PljsDZusyEGsehL+Oz6h+y5o5oS3P7dUWSWek5Cgm0SNJah+/xywG9yGj+pJU22l6bB0wjqF1wj6j+uuTGxnH8HNiglH9QJjnxmM5zXZJW45Nh9+svrPQPAZXQcXr0nF0nqvAIWcFN6jBQ4YXTUnZMjtZ53vNY4iJMbtmFRSYxxDIjjWq785xGcfg8kbA9aKG2bawksxjcHkCRvUdcUUHd9BddJDGJBfKmRDawxxOl9l68HhMT3JS/RpHjOo3T/zFOAZTW311jdvY5q1nVH/dL2cYxxDI8hjVT7JhU8QdNDsuXPnh1Xf4i44n92G/LMPbKNPPaVLRZzQgGpDAAgAAAAAAtrMshywruhJk0RZvdcIYWAAAAAAAAIhoJLAAAAAAAAAQ0XiEEAAAAAAA2C5oOeSIskfyglEWb3VCDywAAAAAAAADBQUFevTRR9W2bVvFxcWpUaNGGjZsmHbt2hVyW9nZ2br33nvVrFkzeTweNWvWTCNHjlR2dnaZsj6fT0uXLtXw4cPVpUsX1a5dW/Hx8TrzzDN13333af/+/eUuY8aMGXI4HBW+Bg8eHHLcJxo9sAAAAAAAgO0sq+gVTcKJt6CgQH379lVGRoYaNmyoq6++Wtu3b9f06dO1cOFCff7552rVqlWV2jpw4IC6d++uLVu2qGXLlho4cKA2btyo9PR0LV68WKtWrVKdOnVKyq9YsUKXXXaZJKlVq1a66KKL5PP59Pnnn+u5557T7NmztXz5crVr167c5Z1zzjk699xzy0zv1q1b6CviBCOBBQAAAAAAEKannnpKGRkZ6t69u5YuXaqkpCRJ0qRJkzRmzBgNGzZMK1asqFJbo0aN0pYtWzRo0CDNmTNHMTFFaZsRI0ZoypQpGj16tGbOnFlS3ul06oYbbtDYsWPVqVOnkuk5OTm6/vrr9cEHH+i2225TRkZGucsbOHCgxo8fH+Y7P7l4hBAAAAAAANjOshxR+QqFz+fTlClTJElTp04tSV5J0ujRo9WxY0d9+umnWrNmTaVt7d27V7Nnz5bb7dZLL71UkrySpIkTJ6pu3bqaPXu2fv7555LpF198sd54441SyStJSklJ0fTp0yVJn3/+uXbs2BHS+4pEJLAAAAAAAADC8Nlnnyk7O1utWrUqk0SSpGuvvVaStGDBgkrbWrJkiYLBoC644ALVr1+/1DyPx6O0tDQFAgEtWbKkSrE1bNhQdevWlSTt3r27SnUiGY8QAgAAAAAAhGHdunWSpM6dO5c7v3h6cTnTtl599dUqtSUVDQZ/8OBBSVKDBg3KLbNmzRqNHTtWhw4dUoMGDXTxxRerT58+VWr/ZCOBBQAAAAAAbBfOI3mnWqjxZmZmSpIaN25c7vzi6cXlTlZbUtEjjX6/Xx06dFCLFi3KLbNw4UItXLiw5O8JEyaoT58+mjNnTpleYKearQms7du3a+XKlVq3bp3279+vnJwcpaSkqG7dujr33HPVu3dvNWvWzM5FAgAAAAAA2OrQoUOl/vZ4PPJ4PGXKHTlyRJKUkJBQbjuJiYmlyh2PnW2tXbtWTzzxhCTpb3/7W5n5DRs21Pjx43X11VerZcuWys/P1xdffKFx48ZpxYoVGjBggFavXi2Xy1Xpsk4W4wTWwYMHNXPmTP3zn//UDz/8IEmyyvndSYejKIt55pln6o9//KNuvfVW1apVy3TxAAAAAAAgAgUthxxR1gMreDTeJk2alJr+6KOPlvtrfcX5j+KcR0Xzq8Kutvbu3atBgwapoKBA9957r/r371+mzGWXXabLLrus5O/k5GSlpaXpoosuUpcuXbRmzRrNmTNHN954Y5XjP9HCTmDl5eXp2Wef1XPPPafc3FzFx8erV69eOv/889W+fXvVrl1bycnJysnJ0cGDB/X999/riy++0FdffaVRo0bpr3/9q+677z7dd999JVlEAAAAAACAU23nzp1KTk4u+bu83leSVKNGDUlSbm5uufPz8vIkqdSvE1bEjrZycnLUv39/bd++Xdddd52ee+65Spd7rKSkJI0YMULDhw/XBx98cHoksFq1aqWff/5Zl112mW6++WYNHDiwSomo3NxcvfPOO3r99df12GOP6ZVXXjktRsMHAAAAAACnh+Tk5FIJrIo0bdpUkrRr165y5xdPLy53ItvKz89XWlqavvnmG1166aV6/fXX5XQ6K13ur7Vp00aStGfPnpDrnkhhJ7C6deumRx99tNyfiTyexMRE3XLLLbrlllv09ddf6/HHHw83hOrDklyFZk0E3Wb1/YlV7/ZY7vKdRfW9dSw548JrKxgb+oF3LH+cedfVmAKz9WBHDIUpZm34a5i9B0kKhLkNS5iHIIXQFbc8wbigcQieZK9R/Tpx5X+zUhFfoOhEUDsuT+44vyQp0WkWg9lRVcTjMDvBNHKZvQdJOivuv0b1N9Q8wziGfXUqv8E5nsLDccYxOIJm5weH3zgEWYY7lR1PGTj8x2mkeJ7fUWE5d+XDSlQqWBBrVN8Xa3jhllToNjtPHnc9VlHsEbM2Yg+Zx+A0vIcKeOx49MXwHsZpPmxt0Okzqh8bf/QEEROQJDljAnId/X9VJcSZbYyU+AKj+pKUGGMWQ7Yv3jiGz3NaGdX3Bsz3h925KUb1M/fWNo4h9qDZuDqm9+WS+TUrEBfeewj4iuoFPC4F4w3v7RPMz1H+8odbqlRVrtmWZXzbftKFGu8555wjSfr666/LnV88vWPHjie0Lb/fr+uuu04rV65Ujx499M477yg2Nrz7keJfLqxKr7GTKexD9r333gs5efVrnTt31rvvvmvUBgAAAAAAwKnQs2dPpaSkaOvWrVq7dm2Z+W+//bYk6corr6y0rcsvv1xOp1MrV67Uvn37Ss3zer1asGCBnE5nmTGtLMvS0KFDtWjRIp177rlatGiR0VBN8+bNkyR16dIl7DZOBDu+fAcAAAAAACilqAeWI8peob3H2NhYDR8+XJI0fPjwUuNXTZo0SevXr1evXr3UtWvXkukvvvii2rdvrwceeKBUWw0bNtQNN9ygwsJC3X333fL7/9c9fty4cdq/f79uvPFGNWjQoFS9kSNHavbs2Wrfvr2WLl2qmjVrVhp3enp6mV8z9Pl8euyxxzR37lzFx8dr6NChVV0NJ4V5/1MAAAAAAIBq6q9//as++ugjZWRkqE2bNurdu7d27Nih1atXq06dOpo+fXqp8llZWdq0aVO5Y0y98MILWrVqlebNm6f27dvrvPPO08aNG/Xtt9+qVatWev7550uVnz9/vqZMmSKp6JcTx44dW26M999/v9q3b1/y98iRI3X//ffrrLPOUrNmzVRQUKBvvvlGu3fvVlxcnF5//XWdcYb5MBt2si2BNWHChCqVi42NVZ06dXTuueeWykACAAAAAABEm7i4OC1btkxPP/203njjDb333nuqVauWhgwZoscff1xNmjSpclupqan68ssv9eijj+q9997Tu+++q/r162v48OF67LHHVLt26THoiserkqQPP/ywwnaHDh1aKoH1yCOP6PPPP9cPP/yg7777TpZlqXHjxrrjjjs0atQotWvXLoQ1cHLYlsAaP368HI7So7hZR/veHTvdsqySv9u0aaN//vOf6t27t11hAAAAAACACFD8WF40CTfe+Ph4TZgwoUqde8aPH6/x48dXOL9WrVpKT09Xenp6pW0NHTo0rEf9HnvssZDrnGq2JbCmT5+uVatW6ZVXXlGLFi00aNAgNW3aVJZlaefOnXrnnXe0bds2/elPf1LTpk21cuVKffDBB+rfv79Wr16t3/zmN3aFAgAAAAAAgNOIbQms3/zmN7rzzjv1+OOP64EHHpDTWXp8+GeffVZPP/20Hn/8ca1YsUIPPvigpkyZopEjR+pvf/ubZs2aZVcoAAAAAADgFLOOvqJJtMVbndj2K4R//etf1b59ez300ENlkldS0WOEDz74oNq3b6+HH35YknTPPfeoZcuWWr58uV1hAAAAAAAA4DRjWwJr1apVOuussyotd9ZZZ2n16tUlf5999tnat2+fXWEAAAAAAADgNGPbI4SStGnTppDLuFwuxcfH2xkGAAAAAAA4xarTIO448WzrgdW9e3etXbtWkyZNqrDM888/r6+//lo9evQomfbTTz+pUaNGdoUBAAAAAACA04xtPbCeeuopffrppxo7dqxeffVVXXPNNWrSpIkcDocyMzM1b948ff/994qPj9eTTz4pScrMzNT69et111132RUGAAAAAACIBIziDhvZlsDq1KmTPvzwQ91222367rvv9N1338nhKOp6Z1lFe0Dr1q01ffp0derUSZJUo0YNZWRkqGXLlnaFAQAAAAAAgNOMrWNg9ejRQz/88IM++eQTZWRkaPfu3ZKkhg0bqkePHrr44otL/UJhrVq11K1bNztDAAAAAAAAkSAKx8BStMVbjdiawJIkh8Ohvn37qm/fvnY3DQAAAAAAgGrItkHcf83r9WrPnj365ZdfTtQiAAAAAAAAUA3Y3gNr2rRpeuWVV/Ttt9/KsiwNGTJEr776qiTprbfe0ptvvqm//e1vatOmjd2LPm05LMmTbTaSnOUy6wbpTzKqLn+CVfKvMy689xI03FsDbvOuoO68U9+dNOg2q29Hj1jLabg/xtgwMqLLrA1ngt84hMR4r1F9jyu0GBzOovKxTr9iXUXfP+QGPUYx5ARdRvUlqabTZ1Tf4zC/FJ3hyjGq3yohyziG72s2MKqfVdvw4JbkCJitS1eBcQiyDL8as8xXgzFXvvmJMrbQsIGgeQyW4aFlx/XCGTCrb8c+6Qia1TfdpyXJVWC2Mi2neRCBgNnB5fUWXS+C+UV/F+bEyVkYF1IbvgSznTLfG2tUX5L2Oc1uav1+8+um32fWRrDQPAZ5zfapmEPmMcTkm9U3vSeWpIJahtsizBgCR7dhXgOXgrXNtkVhDaPqRfHEh3lfXYXQLavoFU2iLd7qxLYeWH6/X2lpaRo+fLg2bdqks846q2Tw9mJnnnmm3nvvPc2ZM8euxQIAAAAAAOA0Z1sCa/LkyVq0aJGuvPJK7dixQ+vXry9TpkOHDmrRooWWLFli12IBAAAAAEAEso4O4h5tL0Qm2x4hnDVrlho2bKg333xT8fHxFZZr2bKlvv/+e7sWCwAAAAAAgNOcbT2wtmzZom7duh03eSVJqampysoyH2sEAAAAAAAA1YNtPbA8Ho+OHDlSabnMzEylpKTYtVgAAAAAABCJLIc9vwpyMkVbvNWIbT2wOnTooC+//FIHDhyosExmZqa+/vprnXfeeXYtFgAAAAAAAKc52xJYf/jDH5STk6Obb75ZBw8eLDP/yJEjuv3221VYWKjbb7/drsUCAAAAAIAIZFnR+UJksu0RwiFDhmjRokV6++231aJFC/Xq1UuSlJGRoWuvvVbLli3TwYMHdeONN+p3v/udXYsFAAAAAADAac62HliSNGfOHD3zzDOKjY3V4sWLJUmbN2/WO++8o2AwqMcff1yvvfaanYsEAAAAAADAac62HliS5HA4NG7cOI0ZM0Zr167V9u3bFQgE1LhxY3Xt2lWxsbF2Lg4AAAAAAEQq6+grmkRbvNWIrQmsYi6XS+eddx6DtQMAAAAAAMDYCUlgAQAAAACA6s2yHLIsx6kOIyTRFm91EnYCa9iwYWEv1OFw6P/+7//Crg8AAAAAAIDqI+wE1owZM8qd7nAUZSutX/325LHTSWABAAAAAACgqsJOYC1btqzMtLfeekvTpk1Tjx49NHjwYDVt2lSSlJmZqX//+9/6/PPPddddd+n3v/99+BEDAAAAAIDowKDosEnYCaw+ffqU+nvx4sV65ZVX9K9//avcxwuHDx+u6dOn649//KOuuOKKcBdbLTmCUsLPPrNGLLdR9YDH7DngQFxRfVehQ05neG1ZTqMQFPSYnzkDfrP14DTcjHa04fKaxxB0m60HKy5oHIMr0W9UPzGxwDiG2gn5RvVjHKGth+DR8jGOYEndnECCUQz/9Scb1ZekBMdBo/qJYZ4TSjMb0jElJs84gtrxZm38UiPROAaf1+xEaXpsS0XXLLMGjEOQw/Bc7So0j8F9yOyaE2N2epFkw3XThh+PDsQaXi9cdsRgWN9jHoMVY7Y/OM0ueZIkV7bZDmE5iuoHC4rOt7H7YuSMC+3ca7nMztV+w31akhyGt4OuAvOTVJzhOcYZMA5BQRuOLVOmwwwV1DbfFpbhiNCBuPB2qODR29AjTSUr2WynND2/SAr/2stQUTjJbLgMFHnyySd1/vnnH3dsrNtuu03nn3++nnzySbsWCwAAAAAAIlDxIO7R9kJksi2BtX79erVo0aLSci1atNCGDRvsWiwAAAAAAABOc4adJv/H4/Ho66+/Pm4Zy7L09ddfy+OxoS82AAAAAACIXJaibwysaIu3GrGtB1a/fv20efNmjRgxQvn5ZQduyM/P17333qvNmzerX79+di0WAAAAAAAApznbemA988wz+uSTTzR16lS98cYbuuKKK9S0aVM5HA7t2LFDixcv1sGDB1W3bl09/fTTdi0WAAAAAAAApznbEljNmjXT559/rrvuuksffvihXn/99TJl+vbtq2nTpql58+Z2LRYAAAAAAEQkh6Lv5wqjLd7qw7YEliS1bNlSH3zwgX766Sf95z//0e7du2VZlho1aqSePXuqVatWdi4OAAAAAAAA1YCtCaxiLVu2VMuWLU9E0wAAAAAAIBowiDtsZNsg7gAAAAAAAMCJEHYC65///Kf8fr/Rwv1+v/7xj38YtQEAAAAAAIDTW9gJrDvuuENt27bViy++qAMHDoRUd9++fXrhhRfUqlUr3XXXXeGGAAAAAAAAIpUVpS9EpLATWMuXL1fdunU1YsQINWrUSGlpafr73/+uFStWaO/evfJ6vZKkgoIC7d69W5988omeeeYZXXbZZWrcuLFGjx6thg0bavny5Xa9FwAAAAAAAJyGwh7E/YILLtDq1av17rvv6qWXXtLixYu1aNEiORz/+8lJl8ulQCBQ8rdlWXI4HLrkkkv05z//WVdddZVZ9AAAAAAAIDJZjqJXNIm2eKsR418h/N3vfqff/e532r59uxYvXqyVK1dq/fr12rdvn3JyclS7dm3Vq1dP55xzjnr37q3+/furefPmNoQOAAAAAACA6sA4gVWsefPmuvvuu3X33Xfb1SQAAAAAAABgXwILAAAAAACgmGUVvaJJtMVbnZDAigZBS56sfKMmLKfZc7wBj9muEkgqWr472yGXJ7xYgrFGIcgRqLxMZZz+CIjB8JFsR8CGZ7qdZmd1Z4LhipRUKyXXqH79pMPGMdT2mMUQ7yoMqbzL5Ttaz6dYV9G0PMMDY7e/llF9SXI5gkb1azgLjGP4JZBkVP9IIM44BofD7LhwxZitR0nyxZm14QiE/dsu/2vDb3aOMdydJB3/FFW8mRzW//5fhg03rk7D873LZ0MQhk34HebXC7/hoeVPMA5BvmSzFeFPsGGndJlVd+abbwv3IbPjO/boJS/gLYolNschV0Focbm8RiHI4Tc/Lpw+s/quQhtiCJi1EXCb7w+FyWZtFCYbhyB/kumxab4trHjDk3VMeDEE84t2xMIGPjndZp+zHPmGJxgp5GO5BIkenGQksAAAAAAAgP0sRV+iK9rirUbMv2oFAAAAAAAATiASWAAAAAAAAIhoPEIIAAAAAADsZzmKXtEk2uKtRuiBBQAAAAAAgIhGDywAAAAAAGC74/7qb4SKtnirE3pgAQAAAAAAIKLZ2gNr3759eumll/Tpp59qz5498nq95ZZzOBzaunWrnYsGAAAAAACRxDr6iibRFm81YlsC6/vvv1efPn104MABWRZbHAAAAAAAAPaw7RHCsWPHKisrS4MGDdKaNWt0+PBhBYPBCl8AAAAAAACng4KCAj366KNq27at4uLi1KhRIw0bNky7du0Kua3s7Gzde++9atasmTwej5o1a6aRI0cqOzu7wjrBYFAvvPCCOnTooPj4eNWtW1fXXXedvvvuu+Mua+HCherTp49SUlKUnJysPn36aOHChSHHfDLYlsBauXKl2rVrp7feekudOnVSYmKiXU0DAAAAAIBoYzmi8xWigoIC9e3bVxMmTNCRI0d09dVXq0mTJpo+fbo6d+4c0hBKBw4c0Pnnn6/JkycrJiZGAwcOVI0aNZSenq6uXbvqwIEDZVezZen666/XqFGjtGvXLg0YMEC/+c1vNG/ePJ133nlavXp1uctKT09XWlqaMjIy1KNHD1188cX68ssvlZaWpvT09JDXw4lmWwLLsix16NBBDkfoGxsAAAAAACAaPfXUU8rIyFD37t21efNmzZkzR6tXr9Zzzz2n/fv3a9iwYVVua9SoUdqyZYsGDRqkTZs2ac6cOfr22291zz336Mcff9To0aPL1Jk+fbrefvtttWnTRj/88IPefvttLV++XHPnzlV+fr5uuukm+f3+UnU2b96sMWPGyOPx6NNPP9WSJUv03nvv6ZtvvlGdOnU0ZswYbdmyxXjd2Mm2BNZ5552nH3/80a7mAAAAAABANLOi9BUCn8+nKVOmSJKmTp2qpKSkknmjR49Wx44d9emnn2rNmjWVtrV3717Nnj1bbrdbL730kmJi/jds+cSJE1W3bl3Nnj1bP//8c6l6zz33nCTp2WefVf369UumX3PNNbrqqqu0detWzZ8/v1SdyZMny+/3684771T37t1Lprdt21YPPfSQ/H5/xPXCsi2BNX78eG3YsEFvvfWWXU0CAAAAAABErM8++0zZ2dlq1aqVOnXqVGb+tddeK0lasGBBpW0tWbJEwWBQF1xwQalElCR5PB6lpaUpEAhoyZIlJdO3bdum7777TvHx8RowYECVl188zlXx/GNdd911VY75ZLLtVwglaeTIkbrpppu0ePFi9evXT40bN67wkcILLrjAzkUDAAAAAACcVOvWrZMkde7cudz5xdOLy5m29eqrr5Zqq/j/Z599ttxud5WWn52drczMTEkqN+nWuHFjpaamaseOHcrJyVFKSkqlsZ8MtiWwLrzwQjkcDlmWpVmzZum11147bvlAIGDXoqsHw7HFnD6zX36MPRJiP8pf8fuL6nuyLbliw2sr4DFbB5Yd/Q0Nh3izbDjiAh6z+v54s20pScFEs+M3OanAOIYmyQeN6jdOyDaOIcnlNaofCLETrNPlkyTFuXzyuIqmHQ7EGcWww5tqVF+SfvEnVV7oODxOn3EMOf4Eo/rb8szXQ47XbFsEg7Z1ig6fDcNYOgxPMQ47bg+OF4N1zL8VlLNc5iEEYk2v2+YxhPoIxK+ZXm8kyfDQlLeW+TUrkFpoVD8h2fyaZTpEbN5h843hN9ygMXlFb6J4bONwxjl25ZttT3ee+f7g8hm2YR6C8fnB8NIvSSpMNqvvTTX/VXmrttmxGZdoVl+SXC6z91GQHxtWvWCwaCyiGI9fVr7Z9T9uv/n9gyc7vHpVumaH8UjeKRdivMWJoMaNG5c7v3h6cTm72zKpU6tWrQp/gK9x48bKyspSZmamOnToUGnsJ4NtCaxbb72VAdwBAAAAAEDUO3ToUKm/PR6PPJ6yXwYcOXJEkpSQUP63NsUJouJyxxNOWyeiTqhxnyy2JbBmzJhhV1MAAAAAACDaRXEPrCZNmpSa/Oijj2r8+PFli1tFFSrq0FM8v0qLDqOtyuqEs5yKlnWq2ToGFgAAAAAAQLTbuXOnkpP/97xteb2vJKlGjRqSpNzc3HLn5+XlSVKpXyesSDhtVVaneHoodUKN+2Q5IQksv9+vdevWaffu3XI4HGrYsKHOOeecUj8BCQAAAAAAEImSk5NLJbAq0rRpU0nSrl27yp1fPL24nN1tmdQ5ePCgcnNzyx0HK5S4TxZbR4z1er26//77lZqaqvPPP18DBw7U1VdfrfPPP1+pqam6//77VVBgPhAmAAAAAACIcMW/+BBtrxCcc845kqSvv/663PnF0zt27HhC2iqu8+2338rnK/srMOXVqVmzZkliau3atWXq7Nq1S1lZWWratGnE/AKhZGMCy+v1qm/fvpo4caIOHz6sjh076qqrrtJVV12lc845R4cPH9bEiRN1ySWXyOs1++UuAAAAAACAU61nz55KSUnR1q1by00Gvf3225KkK6+8stK2Lr/8cjmdTq1cuVL79u0rNc/r9WrBggVyOp3q379/yfQWLVrozDPPVH5+vhYtWlTl5Q8YMKDU/GPNnTu3yjGfTLYlsJ5//nllZGSoZ8+eWrdundauXat3331X7777rr7++mutW7dOvXv31ueff64XXnjBrsUCAAAAAIAI5LCi8xWK2NhYDR8+XJI0fPjwUuNKTZo0SevXr1evXr3UtWvXkukvvvii2rdvrwceeKBUWw0bNtQNN9ygwsJC3X333fL7/SXzxo0bp/379+vGG29UgwYNStUbPXp0SZljE1/vvPOO3n//fbVo0UIDBw4sVWfkyJFyuVx6+eWXtWrVqpLpW7Zs0ZNPPimXy6URI0aEtjJOMNsGpfr3v/+tunXravHixeUO8nX22Wdr4cKFatWqlWbPnq2//OUvdi0aAAAAAADglPjrX/+qjz76SBkZGWrTpo169+6tHTt2aPXq1apTp46mT59eqnxWVpY2bdqkPXv2lGnrhRde0KpVqzRv3jy1b99e5513njZu3Khvv/1WrVq10vPPP1+mzrBhw7R48WK9++67at++vfr27ausrCytWLFCcXFxev311+V2u0vVadeunSZOnKjRo0erd+/e6tevn2JjY7V06VLl5+dr0qRJateunb0rypBtPbB+/PFHXXjhhccdoT4pKUkXXnihtm7dGtYyJk2apEGDBqlNmzZKSUmRx+NRs2bNNGTIEG3cuLFM+ffff19DhgxRhw4dlJqaKrfbrXr16umKK64ot2tdZTZt2qTnn39egwcPVsuWLeVwOORwOLR3795K6y5cuFB9+vRRSkqKkpOT1adPHy1cuDDkGAAAAAAAQOSIi4vTsmXL9PDDDyshIUHvvfeetm/friFDhmjt2rVq3bp1ldtKTU3Vl19+qXvuuUeFhYV69913lZOTo+HDh+uLL75QampqmTpOp1Nz587Vc889p0aNGmnhwoXasGGDfve73+mrr75Sjx49yl3WqFGj9P7776t79+5auXKlPv74Y3Xp0kXz58/XqFGjwl4fJ4ptPbBiYmJKfmbxePLy8sL+NcKnnnpKubm56tixozp06CBJ2rhxo2bNmqU333xT7733XqlnQWfNmqV33nlHv/nNb9StWzfVqFFD27dv15IlS7RkyRI9/PDDmjBhQpWXP23aNE2ePDnkuNPT0zVy5EjFxMTokksukcfj0dKlS5WWlqbJkydHXLc8AAAAAACMWUdf0STMeOPj4zVhwoQq5RjGjx+v8ePHVzi/Vq1aSk9PV3p6epWX73K5NHr06JLHCasqLS1NaWlpIdU5VWxLYHXo0EGffPKJtm3bphYtWpRbZtu2bfrkk0/UuXPnsJYxf/58denSRXFxcaWmT5s2TXfffbduv/12ZWZmyuVySZIeeughvfLKK6pTp06p8qtXr9Yll1yiJ554QoMHD9ZZZ51VpeV36NBBf/nLX3T++eera9euJd0Cj2fz5s0aM2aMPB6Pli1bpu7du5dM79Gjh8aMGaP+/furTZs2VV0NAAAAAAAA1YptjxDecccdys/P14UXXqiZM2eqsLCwZJ7X69WMGTN04YUXqqCgQHfeeWdYy+jZs2eZ5JUk3XXXXWrdurV2796tTZs2lUzv1KlTmeSVJHXr1k2DBw+WZVlavnx5lZf/hz/8Qc8884wGDRqkJk2aVKnO5MmT5ff7deedd5YkrySpbdu2euihh+T3+0PKqgIAAAAAAFQ3tiWwbrnlFv3xj3/Uzp07NWzYMCUkJOiMM85Q48aNlZiYqD/84Q/auXOn/vSnP+mmm26ya7ElintdxcbGnpDy4Soe5+raa68tM++6666TJC1YsOCExgAAAAAAABDNbEtgSdIrr7yiuXPnqlevXoqJidGePXu0e/duxcTEqHfv3po7d66mTZtm5yIlFY11tWnTJrVt21YtW7astPz69es1Z84cud1u9e3b1/Z4imVnZyszM1NSUW+wX2vcuLFSU1O1Y8cO5eTknLA4AAAAAAAAopltY2AVu+aaa3TNNdfI7/frwIEDkqQ6deqEPXB7eSZOnKiNGzcqNzdX33//vTZu3KhGjRrpjTfekNNZNie3YMECzZs3Tz6fT5mZmcrIyJDb7dY//vGPCsfrskNx8qpWrVpKTEwst0zjxo2VlZWlzMzMkoHpAQAAAACIdg5JjigbxN1xqgNAhWxPYJU0HBOj+vXrn5C2P/jgA3388cclfzdp0kSvvfaaunTpUm75devWaebMmSV/x8XF6YUXXtCtt956QuIrduTIEUlSQkJChWWKE1vFZctT6MvVirUTq7TMnh3vKXe632921vD7Akb1A05v0b+FBeG3YXgqsezob2h4NrNc5iGYbQkpWGB+BQnm+43qB/K8xjH4PIWVFzqOwqDPOAavy6yNQIidYAtzfaX+tYPLad6W22W2PwSdZvUlqcBv9j4K88z2J0kK5Jrt18G88M+PJW3km50hHAU2nCgLzU6UDvPdQZa/4hiC3oJS/5bLfHeQ07ANZ6ENd/uGTQRsuEsMeM32B3uuWWYbIxBjfs1yGN4/BPPN14PDcF0Wb8vA0WMncLxjqKI2DPdrp898PVimbdhwaAYNd4iA4XlWsuPYDBrHYJkemw4bTtYusw0azA9vPQTzvSX/Wvlm1/+A1/wDRsCGVQmcDA7LsqIsH/o/2dnZ2rBhgyZMmKCPPvpITzzxhB566KEKyxcUFOjHH3/UtGnTNG3aNA0YMEDz5s0Lexys5s2ba8eOHdqzZ48aNGhQZv5//vMf9erVS40bN9bOnTvLbaNnz57KyMhQRkZGqUHeizVs2FB79+4NKz4AAAAAAE6U2Ngkeb2Hy0w/dOiQUlJS1OyZJ+Us54fYIlmwoEA77n9IOTk5Sk5OPtXh4Bhhf7d28cUXy+FwaObMmWrcuLEuvvjiKtd1OBylelCFq2bNmurdu7cWL16s7t276+GHH9all16qrl27lls+Li5OZ599tqZOnaqYmBilp6drypQpGjNmjHEs5alRo4YkKTc3t8IyeXl5kqSkpKQKy7hjk3Ren7FGsQTizL5VD8SZfUtTKK82zH1cHa57WC53eCewoOE3wUEbxuv3x5utB1/Fm7nqbSSbfeMVrGHevSG2htm30XWTKz4mqqpZ8i9G9Rt5zMedcxr2h84NeEIqX5jr0/T+7+u2JVcpNtEtSTroizeKIc9vfmD4g2bf/AVt6KjtC5id4w55zW+ssnPNtoU313xbOHLNTpSufPMeWE7DziqO4/SeqnIbxzlNBr0F+mnyBLUc+YicnvK3u8O0q6ukGMMOdaY9uOzgr7gDeZUV1jQ7T/pSza9ZKXUr7uVeFWekmF8vYgx3qt1HUoxjyNpr9iEsdm/RdSfoLdD2iY+r+diHKzyGKhKXZXZ8u3Nt6IlmeHzbcT9ZWMNsPXhrm68HX22zYyuudr5xDHWS8ozqe2LMzw+m1/+sn8M7roL5Bdp93zNq9Pf7lRBmG8VStpn3hkvcG97Fe9Xq542XDYQi7Dvd5cuXy+FwlCRgli9fXuW6DtN+1L/idrt1/fXXa82aNVqwYEGFCaxj3XzzzUpPT9f8+fNPWAKradOmkqSDBw8qNze33HGwdu3aVapsuRwOxYSZ9Clpwm34ocRtts1cRz+gutxxcsWG914chgkshw03HJbHsLu1DV8+BOIML1Lx5hd7V4LZeohJNI/BnWi2QT1xbuMYTBNYvkB4McQmuhWbVFTXXWi2Htw2JLAcEZDAsgJmMbhiQksmltuGZXaAO234VOQwzPQ7bXjW2mm4OZ2+E5vAKlmOJ06uE5jAMnwqxd5f2QmTZX5YyBln+MiYLdcss0eMTa83knkCyxU03xjOeMNz1K+um05PXMi9KlyG91EuGx4hND2+7bifNF0PpseVZH5suRLMY4hJNNsYMTHmj865XGbHlvFxFV/xtaiqYtzmCayYmDD3yapUs2TLo7cnVbTFW42Efae7bds2SdIZZ5xR6u9TJTU1VZK0f//+E1I+HDVr1lTTpk2VmZmptWvXqlevXqXm79q1S1lZWWratKlSUsy/WQMAAAAAADgdhZ3Aatas2XH/PtlWrFghSWrVqtUJKR+uAQMGaNq0aXr77bfLJLDmzp0rSbryyitPaAwAAAAAAADRzLYe6rNmzVJGRkal5VatWqVZs2aF3P7KlSs1Z84c+f2lu7v6fD5NmTJFr732muLj43X99ddLkvbt26fnnntO2dnZZdr68MMPNW7cOEnSbbfdVmreF198ofbt26tv374hx1iekSNHyuVy6eWXX9aqVatKpm/ZskVPPvmkXC6XRowYYcuyAAAAAACIGFaUvhCRbPiB5CJDhw7V0KFD1aNHj+OW+7//+z+9+uqruvXWW0Nqf+vWrbrtttuUmpqqLl26qE6dOsrKytKGDRu0Z88excXFacaMGWrSpImkosHR77vvPj388MM677zz1LhxY+Xm5mrz5s364YcfJEmjRo3SNddcU2o5eXl52rRpkwoKyo6++vXXX+vuu+8u+XvPnj2SinpZud1F4wLcfvvtuv3220vKtGvXThMnTtTo0aPVu3dv9evXT7GxsVq6dKny8/M1adIktWvXLqR1AQAAAAAAUJ3YlsCqqmAwGNYg7n369NGDDz6oFStWaP369crKylJsbKyaN2+ua6+9ViNGjFDr1q1LyterV0/PPvusli9fro0bN+qrr75SMBhUw4YNNXjwYN1xxx268MILQ4rh0KFDWr16dZnpX3/9dcn/L7/88jLzR40apdatW2vixIlauXKlJKlLly4aO3asrrrqqpBiAAAAAAAgGjisolc0ibZ4q5OTnsD66aeflJwc+k+FtmjRQk8++WSVyyckJGjs2LEaO3ZsSMu58MILZVnl77HHm1eZtLQ0paWlhVUXAAAAAACgOjNKYE2YMKHU3998802ZacX8fr82bdqkTz/9VP369TNZLAAAAAAAAKoRowTW+PHj5XA4ZFmWHA6HvvnmG33zzTfHrVOvXj099dRTJosFAAAAAACRLhoHRY+2eKsRowTW9OnTJUmWZWnYsGHq1auX/vCHP5RbNjY2Vo0aNdJvf/tbeTwek8UCAAAAAACgGjFKYA0ZMqTk/zNnzlT//v1LTQMAAAAAANUUPbBgI9sGcV+2bJldTQEAAAAAAAAlnKc6AAAAAAAAAOB4bOuBJRWNhTV79mzNnz9fW7Zs0eHDh2VZZfvfORwObd261c5FAwAAAACACOKwil7RJNrirU5sS2AVFhZqwIAB+uSTT8pNWkkq+cVChMZySrkNzTaV5bApmHCX7z36r6voFQ7TE4nlNF8J/gSz+t46AeMYnLULjeonJXiNY4iN8RvVD9qwQ2YVJBnVLwzamr8Py6HCuJDK+3OLtt2Ph1MVEyz6MYxf8s12ykN5ocVQnkKv26h+0H+KT1CSZEcIQcNG/DZ0ija9xAbNQ3D6zNaDy+wUJ0lyHO9Ue/QU6PJKFV6ObLhVMT3NBWNtiCHM620xf7x5DIF4s5XpSjC73khSjTiz614dT65xDLFOs/dhxzXrcIrZ+d7rLdqhgvlFJwpfraCc8aGeNMzOc77EU3+98CeYnyB8Nc3uB03vBSUpNcVsv66fdNg4hpqx+Ub18/xm9x+SlHUk0ai+83CYx2ZBUT3nkRgl7DPbp5IyzdajJLkzs8Kq5/DbcOMAhMC2Rwife+45ffzxx7ryyiu1ZcsW3XLLLXI4HPJ6vfr+++81fvx4JSYmauzYsQoG2dEBAAAAADitWY7ofCEi2dYFYc6cOapdu7beeOMNJSYmyuksyo253W61a9dOjzzyiC666CJddNFFateunYYNG2bXogEAAAAAAHAas60H1o8//qjzzz9fiYlF3TCLE1iBwP+6yPbu3Vs9e/bUSy+9ZNdiAQAAAAAAcJqzLYHlcrmUnJxc8ndxImv//v2lyp1xxhnatGmTXYsFAAAAAACRyIrSFyKSbQmsM844Q5mZmSV/t27dWpK0atWqUuXWr1+vpCSzwZcBAAAAAABQfdiWwPrtb3+rjRs3Kj+/6FcQrrjiCknSyJEjtWTJEm3YsEH33HOPvv/+e3Xr1s2uxQIAAAAAgAjksKLzhchkWwLrmmuuUUJCgj788ENJRT2w7r33Xu3cuVNXXnmlzj33XE2dOlUJCQn629/+ZtdiAQAAAAAAcJqz7VcIBwwYoD179pSa9txzz6lr16567733dPDgQbVt21YjRoxQmzZt7FosAAAAAACIRNE4plS0xVuN2JbAqsjgwYM1ePDgE70YAAAAAAAAnKZse4QQAAAAAAAAOBFOSA+szMxM7dmzR16vt8IyF1xwwYlYNAAAAAAAiATROCh6tMVbjdiawHr11Vf1+OOPKzMzs9KygUDAzkUDAAAAAADgNGVbAmv69Om6/fbbJUkdOnRQ27ZtlZSUZFfzAAAAAAAgmjCIO2xkWwJr0qRJiomJ0bx585SWlmZXswAAAAAAAKjmbBvEfcuWLbrgggtIXgEAAAAAAMBWtvXAql27No8MAgAAAACAIjxCCBvZlsC6+uqrNX/+fOXn5ys+Pt6uZiFJTslb02HUhCNoGILfrL51dPlBt+Rwm7UVrkCceRu+GmZnM1edin+Zs6rq1T5kVD/WZf4DCke8HqP6B3PNzxEHDica1XdEwM+h+ApDOwUH8wokSVv31pUzoWiH9ueZncYdueaXgZh8s/OTy/D8IkmW4dsIeMz3h2C84YnWZR6DFWPYhg39sh2GpxhXvnkMTl/F8xyFRf/G5B1n3zPbpSVJQcN9MhhrHoPpdc+feOqPC7cN1yyn4fneGzA/TwYss53KHzQ/OF0us21hxRdtC0uBkr+Lp1WVr6ZRCAok2HBwGgrG2XD/kHSck1QVxCf8//buPD6q6v7/+HuWzEwWEpYAguxrBAQRC4JIUFBAFhGCoKiApXX9oUChrVZBq22/UFGgam0VWdS6sIhEqQgCYhVFUDQooMgiokAkbNln5v7+iBkJmYRJzkBm4PV8POYRuPeccz9z5557J5+ce67598l4V4FR/TinWX1Jchv+gpFnq/q+aavkWyiuZ/OaXzfDwumoXD1b1fdJnFvCdgvhX/7yFyUmJmr06NE6fPhwuJoFAAAAAABRyGZF5wuRKWwjsCZOnKg2bdpo4cKFWrFihS655BI1aNBAtiBZWZvNpueeey5cmwYAAAAAAMBZLGwJrLlz5wb+feTIEa1atarMsiSwAAAAAAAAEKqwJbBWr14drqYAAAAAAACAgLAlsFJTU8PVFAAAAAAAABAQtgQWAAAAAABAgPXzK5pEW7znkLA9hRAAAAAAAAA4HSo9AqtZs2ay2WxauXKlmjZtqmbNmoVc12azaceOHZXdNAAAAAAAAM4hlU5g7dq1S5JUWFhY4v8AAAAAAAA2q+gVTaIt3nNJpRNYfr+/3P8DAAAAAAAA4cAk7gAAAAAA4PRgRBPChEncAQAAAAAAENEYgQUAAAAAAMLPUvSNwIq2eM8hlR6B5XA4Kv1yOsmbAQAAAAAAFPvggw90zTXXqGbNmkpISFDnzp01b968SreXnp6u1NRUJSUlKTExUampqUpPTw9advfu3Zo9e7auueYaNWvWTG63W8nJyerbt6/eeOONMrfRpEkT2Wy2Ml9bt26tdPwnq3QmqWHDhrLZbGELBAAAAAAA4Fy0ZMkSDRs2TH6/Xz169FBycrJWrVql0aNHa/PmzZoxY0aF2ps1a5buueceOZ1O9e7dW263WytWrNDAgQM1c+ZMjRs3rkT5kSNH6n//+59iY2PVpUsXdenSRTt27NDbb7+tt99+W+PHjy83hlGjRgVdnpSUVKG4y1PpBNauXbvCFgTOAMNco2U4W5rfYQv8tDkqF4xlOHDPG2dWX5K8SV6j+nWrHzeOoV78UaP6eb4Y4xh+yjbbmTlZscYx2I+bHRA2s48yLGy+CvaFvJ/Lfx8reTySJJfh+7Dnm/8hwpFvGEMYPgu/4WFdGG8eQ6Hd7ERpxfrMg7CbjXm3HOZj5m1+s2PKmWcegzO37HW+gqL2XcctOVzBtxWG06T8iWb7oTDBPIbCRLMnRPvjzY9JR7xZB3e7q/5kfdzrNm7D6zc7P/yUY36Sys8zPLD9QX5W8BCznGb92x+G23psXrO+aQvDddOyzD6L4z7zaYx9hm047OZPoHfFmZ1jPA7z80O8u8Co/rGEyu0Hv6Ooni/er7yaZsdUdgPz79XuhModk9b3pz6ObFbRK5pURbxZWVkaM2aMfD6fFi1apCFDhkiS9u/fr+7du+vxxx/XwIEDdcUVV4TU3vbt2zVx4kS53W6tXr1aXbt2DSzv1q2bJk6cqH79+qlly5aBOo0aNdLNN9+sm266SfHxv1x33nzzTQ0ePFiPP/64+vbtq6uvvjroNufOnVvJdx86JnEHAAAAAACoIs8++6yOHDmia6+9NpC8kqS6detq2rRpklShEVgzZ86U1+vV7bffHkheSVKrVq10//33y+v1atasWSXqvPTSS7rttttKJK8kqX///rr11lslSf/5z38q/N7CiQQWAAAAAAAIPytKX2dY8bxUaWlppdb1799fHo9HK1euVF5ennF7w4YNkyQtW7Ys5Pg6dOggSdq3b1/IdU6HsCWwXnzxRTVr1kzvvPNOmWVWrFihZs2a6ZVXXgnXZgEAAAAAAKLW559/Lkm6+OKLS61zuVxq166d8vLytG3btlO2dfjwYe3Zs0eS1LFjx1LrGzRooOTkZO3evVtHjhwJKb5vv/1WknTeeeeVWWb69Om6/fbbdc899+hf//qXDh48GFLbFRG2BNaCBQuUnZ1d7j2ZV155pY4fP240iz4AAAAAAMDZ4OjRozp8+LCkouRSMMXLixNT5SkuU6NGjVK3A1amvcOHD2v+/PmSpGuvvbbMcpMnT9YzzzyjWbNm6bbbblOTJk303HPPnbL9ighbAisjI0Pt27eX01n2xMpOp1MdOnRQRkZGuDYLAAAAAAAiUPEk7tH2kooSSye+8vMNn1xUhuPHf3nQV1xc8IdlFSeiTix7qvbKaqui7d1xxx06ePCgLr30Ul133XWl1g8aNEiLFy/W7t27lZOTo4yMDE2YMEH5+fkaO3asXn/99VNuI1SGz3X7RWZmpurUqXPKcnXq1NG6devCtVkAAAAAAICwatiwYYn/T5kyRVOnTg1aNi0trcIDdebPn6/OnTvLsk496VYoZU4ua7OV/YTLUNv729/+ppdfflk1a9bUiy++GLTNkyeDb9u2rR577DG1bt1at912m37/+99r8ODBIcdfnrAlsGrVqqUdO3acstyOHTtUvXr1cG0WAAAAAABEoiqaFN3Iz/F+9913SkxMDCx2u91lVtm1a1dI81OdKCcnR5JUrVq1EstO3ObJZRMSEk7ZbnF72dnZp9x2ee3NmzdP9913n+Lj4/Xmm2+qWbNmp9z2icaOHasHHnhA27dv186dO9W0adMK1Q8mbLcQXnbZZdqwYUO5o6vef/99ffzxx+rWrVu4NgsAAAAAABBWiYmJJV7lJbA++eQTWZZVoVfPnj0D20lKSpIk7d27N2j7xcsbNWp0yriLy2RlZZWZxDpVe0uXLtWvf/1rxcTEaPHixbr00ktPud2T2e12NW/eXJL0ww8/VLh+0DbD0oqk8ePHSyq6//GJJ54osaOys7P1xBNP6Nprr5XNZguUBQAAAAAAOJd16NBBkrRp06ZS6woLC5WRkSG3263WrVufsq3q1asHElOffvppqfV79+5VZmamGjVqFEicnWjNmjUaPny4JOnFF1/U1VdfXaH3cqKsrCxJoY0cC0XYElhdu3bVY489pqNHj2rixIlKTExUvXr1VL9+fSUmJmrixIk6fPiwpk+frssvvzxcmwUAAAAAAJHIitLXGda/f39J0sKFC0utS09PV15ennr16iWPx2Pc3muvvSZJGjBgQKl1Gzdu1KBBg1RQUKBnn31WaWlpIb+Hk23ZskXbtm1TXFycUlJSKt3OicKWwJKke++9V6tXr1afPn3k8Xi0f/9+/fjjj/J4POrbt69Wr16tCRMmhHOTAAAAAAAAUWvs2LFKTEzU0qVLtXjx4sDyAwcOaPLkyZIUNJeSkpKilJQUff/99yWW33PPPXI4HPrnP/+p9evXB5Z//fXXevTRR+VwODRu3LgSdbZt26Z+/frp2LFjmjlzpkaPHn3KuN9++21t3Lix1PLPP/9cw4YNk2VZGjt2rFwu1ynbCkXYJnEv1qNHD/Xo0UN+v1+ZmZmSpOTkZNntYc2VAQAAAACACGazil7RpCrirVmzpubMmaPrr79eaWlpSk1NVXJyslauXKnDhw9r3Lhx6tWrV6l6xRPHFxYWlljeunVrTZ8+XRMmTNDll1+uq666Si6XSytWrFBubq5mzJhR6nbEESNG6ODBg6pdu7Y2btwYNIGVkpKiP/zhD4H/f/jhh3rooYfUuHFjNW/eXLVr19bOnTu1adMmeb1epaam6q9//WsY9lCRsCewitntdtWpU+d0NQ8AAAAAAHBWGDp0qN577z098sgjWr9+vQoKCnTBBRforrvu0pgxYyrc3vjx49WiRQtNnz498LC9Tp06adKkSRo0aFCp8sXzVR08eFDz5s0L2mZqamqJBFafPn303XffacOGDdq8ebOOHDmixMREde/eXSNHjtSYMWPkcDgqHHtZwp7A8nq9Sk9P14YNG5SZmakuXbro1ltvlSTt27dPmZmZatOmjZzO05Y7AwAAAAAAiCqXXXaZli9fHnJ5yyp/uNjAgQM1cODAkNratWtXyNst1rVrV3Xt2rXC9SorrFmktWvX6uabb9b3338vy7Jks9lUWFgYSGCtWrVKo0eP1quvvqqhQ4eGc9MAAAAAACCSVNGk6EaiLd5zSNgmpvriiy90zTXX6MCBA7rnnnv02muvlcoGDh06VHFxcVq0aFG4NgsAAAAAAICzXNhGYD388MPKz8/XihUrdOWVVwYtExcXpwsuuECffvppuDZ7brCkmGyzNLBlMwzBbtaA5fjlp1XJo84bZxSCCpL8Zg1IclXPN6pfJ/64cQw1XLlG9b/PMX8CRE6O26i+86cY4xjch8yOSUeecQjGKtoXfPlF79lz0CaHu+jfluEt5abnBkmye83q2wzrS5LDZ1bfspnvCL/hYe2NCcOH4TC8VoRjigLDt2Ez/Cwlye4tez9YvqJ1dp9VZjlfGD4Lb6xZ/YKa5jvCXrPAqH5CnNk1T5I8MWYd3OU0P0HEGJ4g8r3mX5ePFphdN49mh/bY9PJ4c8zehy3fUeqnzV6xk4at0Kxv2QvM+6Yz26wNp9nXsCKGozu88eYn69w6ZuMYDhn2bUmqG3vMqH5NV455DHFm381/qh5fqXp+V9EX0ZikPOV6K9dGQBgelubMrtzvB/51IRRiBBbCKGwjsNauXatLL720zORVsUaNGmnfvn3h2iwAAAAAAADOcmEbgXX06FGdf/75pyyXn58vny8Mf14FAAAAAAARy2YVvaJJtMV7LgnbCKx69erpq6++OmW5jIwMNW7cOFybBQAAAAAAwFkubAmsq6++Wlu2bNGSJUvKLDN37lzt3r1b/fv3D9dmAQAAAAAAcJYLWwLrvvvuU0JCgm644QY98MAD+uSTTyRJOTk5ysjI0COPPKI777xTtWrV0oQJE8K1WQAAAAAAEImsKH0hIoUtgdW4cWO9+eabqlGjhh599FF16dJFNptNr732mjp06KAHH3xQ1apV09KlS3XeeeeFa7MAAAAAAAA4y4VtEndJ6t69u7Zv367nnntOK1eu1K5du+Tz+dSgQQP17t1bt912m6pXrx7OTQIAAAAAgAjEJO4Ip7AmsCSpWrVquvfee3XvvfeGu2kAAAAAAACcg8J2CyEAAAAAAABwOoRtBNYHH3yg1atX66uvvlJWVpZsNptq1qypNm3a6IorrlCXLl3CtSkAAAAAABDponFS9GiL9xxinMD6/PPPdeutt+rTTz+VJFlWyU/bZrNJkjp37qznnntObdq0Md0kAAAAAAAAziFGCawNGzboyiuvVHZ2tuLj49WvXz9ddNFFSk5OlmVZyszM1Geffab//ve/+uijj9S1a1etWbNGHTt2DFf8AAAAAAAgEjECC2FU6QSWz+fTyJEjlZ2drV//+td67LHHlJiYGLTs0aNHNWHCBM2ZM0c33nijtmzZIrud6bcAAAAAAABwapXOIi1dulTffPONhg8frn//+99lJq8kKTExUc8++6yGDRum7du3a9myZZXdLAAAAAAAAM4xlU5gLVu2THa7XX/5y19CrvPXv/5VUlHyCwAAAAAAnL1sUfpCZKr0LYQbN25U69at1bRp05DrNGvWTCkpKdq4cWNlN3tOslmSM8esDb/hdP0+j9mNwD73CT/dlWujIMkwhppeo/qSVDsx26h+dZfhBynJa5ndfnsk32Mcg++oy6h+fJb5ZSFuv9nxEJNjfnO74UehwtiK7QdfQVHM7ixLDlfRv73xZvvSa344yHKY1bf5zWOwF5rVNz3HSpJlN/ssLKf5rfW+eLOdaTnN+4X59cL8/GDzldP+zw+X8bpsslzBt+WNM4+hsJrhvkwyPKgl1Ugyu2YlevKMY4ixl/NhnCF2m9lnUeg3PMlJKvCateEtNI9BBWbnGHvez/0iv+inPd8mu61ifcVWaNa3nLnmfdN12Ky+J8v8PGkvNGujINF8P/hcZsdUTi2z74KS5DdME8Q6CoxjqOE2+wJQLb5y50mfLV+SlBCfryM+s99Rcm3m5wd7Jfum6XdAoKIqfSX74Ycf1KpVqwrXa9Wqlfbt21fZzQIAAAAAgGhgRekLEanSCawjR44oKSmpwvUSExN19OjRym4WAAAAAAAA55hKJ7C8Xm+lniRot9vl9ZrfygUAAAAAAIBzg+HMSAAAAAAAAKXZrKJXNIm2eM8lRgmsefPmad68eeGKBQAAAAAAACjFKIFlWZVLTdoq+MQSAAAAAAAQZaJxUvRoi/ccUukElt8fhueeAwAAAAAAAKdQ6UncAQAAAAAAgDOBSdwBAAAAAMDpwS15CBNGYAEAAAAAACCiMQILAAAAAACEnc0qekWTaIv3XMIILAAAAAAAAEQ0RmABAAAAAIDwsxR9c2BFW7znEEZgAQAAAAAAIKKRwAIAAAAAAEBE4xZCAAAAAAAQdkzijnAigXWusJlV9zvNGvDG/vLTcleyjWp+oxg81fKN6ktSosusjTxfjHEMR/JjjeofzKpmHENMlsOovvuQ+VXBk+Uzqu/MNqsvSf4Ys0GsNl/F6nsLi/pATLZfzoKif1sOsxj8MYYnB0n+CBjLa/OaHVMx5qcH2Syzfel3me9Iv8dsP1gus/OsJBVWM9sP9gLzY9LnLrsNX37RuvzqNjnKKOer5HWqRBuxZp+F3Wn+WZjyhaFzO21m78NhN98PTsM2wrEfHHaz48FmWL+oEbPqxae4E39W9LRnuicND6eiGLxm9R0F5p+FI9+sDZ/L/DzpyDdro9Br9l1QknK8LqP62WE4WWcbxmBV8tpfXM+ybLK5zL6T+hLCcN2s5CFp+NUHqDASWAAAAAAAIPyYxB1hFAF/NwcAAAAAAADKRgILAAAAAAAAEY1bCAEAAAAAQNgxiTvCiRFYAAAAAAAAiGiMwAIAAAAAAOHHJO4II0ZgAQAAAAAAIKKRwAIAAAAAAEBE4xZCAAAAAAAQftxCiDBiBBYAAAAAAAAiGiOwAAAAAABA2Nmsolc0ibZ4zyWMwAIAAAAAAEBEI4EFAAAAAACAiMYthAAAAAAAIPyYxB1hxAgsAAAAAAAARDRGYEUByyYVJpi14XfajOr7Ys22b7mswE+/u3Ipbctplgr3+832gSQdyo2r0vqSdOSY2Yfh+9Hww5SUcMBsX3qyfMYxxBwza8Ne6DeOwXSCR39hxfajVVi0QUehJcfPfxpy5JvF4HOZ1ZeKzlHRzl5o3obTMjsgnLHmO7Iw0awNK968X/gTzfZDfhi+mvjcZe8Hf15RfAXVLdk9p/FPrIa70nc8xjiEQ/54o/rZHvMTRLynwKh+9dhc4xg8DrMO7owxv2Z5LbO/GeeE4bPIKXAY1fcHfhb9y+/xS7EVO9Ath9l+CEePtXnNzpP2Cl67g3HmGn4vdxuHIBm+DV+B+TiInwy/F3v95jEcyfcY1c/OrdyH4c8tOppzcl2yTN9HOGYcr2wIIRxHNsuSzfA70pkWbfGeSxiBBQAAAAAAgIgWVQmsGTNmaMiQIWrZsqWSkpLkdrvVuHFjjRo1Slu2bClV/o033tCoUaN04YUXKjk5WTExMapTp46uueYavfnmm5WKwe/364knntCFF16o2NhY1a5dW8OGDdOXX34ZtPzcuXNls9nKfI0YMaJScQAAAAAAENGsKH0hIkVVAusvf/mLli9frpo1a6pXr17q37+/PB6P5s+fr4svvljLly8vUX7+/PlasGCBJKlLly4aOnSomjVrpuXLl2vAgAF68MEHK7R9y7I0fPhwjR8/Xnv37lX//v3Vtm1bLVq0SJdccok++uijMut26NBBo0aNKvVKTU2t+I4AAAAAAABnlQ8++EDXXHONatasqYSEBHXu3Fnz5s2rdHvp6elKTU1VUlKSEhMTlZqaqvT09KBld+3aVe7gm/POO6/M7Rw+fFj33nuvGjduHBhodM899+jw4cOVjj2YqJoDa+nSperUqZM8npL3Kj/99NO68847NXbsWO3Zs0cOR9E9/vfff7+eeeYZ1apVq0T5jz76SL1799YjjzyiESNGqE2bNiFt//nnn9fChQvVsmVLrVu3TnXr1pUkLVq0SGlpaRo5cqS2bt0qp7P0bh08eLCmTp1aiXcNAAAAAADOZkuWLNGwYcPk9/vVo0cPJScna9WqVRo9erQ2b96sGTNmVKi9WbNm6Z577pHT6VTv3r3ldru1YsUKDRw4UDNnztS4ceOC1qtbt6769u1banlSUlLQ8j/99JO6du2qr7/+Ws2aNdPgwYO1ZcsWzZo1S2+99ZbWr19fKidTWVGVwLrsssuCLr/jjjs0Y8YMffPNN9q2bVsgIdWxY8eg5bt06aIRI0bo2Wef1Zo1a0JOYD322GOSpGnTpgWSV5I0dOhQDRo0SG+88YaWLl2qoUOHVuRtAQAAAABw1rFZ4Zln/kyqinizsrI0ZswY+Xw+LVq0SEOGDJEk7d+/X927d9fjjz+ugQMH6oorrgipve3bt2vixIlyu91avXq1unbtGljerVs3TZw4Uf369VPLli1L1U1JSdHcuXNDjn38+PH6+uuvNWTIEL3yyiuBAT3jxo3T7NmzNWHCBKNRZCeKqlsIy1M86srlCu0pLRUtv3PnTn355ZeKjY1V//79S61PS0uTJC1btiyk9gAAAAAAAJ599lkdOXJE1157bSB5JRWNhpo2bZokVWgE1syZM+X1enX77bcHkleS1KpVK91///3yer2aNWuWcdw//vijXnzxRcXExOipp54qcTfa9OnTVbt2bb344ovav3+/8baksySBNX/+fG3btk2tWrVSs2bNTln+888/1yuvvKKYmBj16tUrpG1s3rxZktSuXTvFxJR+tPXFF19cotzJNm7cqEmTJum2227TlClTtHbt2pC2CwAAAABAVKrqydijZBL34nmpigfGnKh47u+VK1cqLy/PuL1hw4ZJCs/gm+XLlwdueTzxLjVJcrvdGjhwoHw+X6n5yisrqm4hLDZ9+nRt2bJF2dnZ+uqrr7RlyxbVr19fL730kuz20jm5ZcuWadGiRSosLNSePXv0wQcfKCYmRv/617/UtGnTkLa5Z88eSVKDBg2Cri9eXlzuZOnp6SUmS3v44YeVmpqqV155pdQHDQAAAAAAzg2ff/65pF8GxpzI5XKpXbt2+uSTT7Rt2zZ16NCh3LYOHz4cyEsEm1apQYMGSk5O1u7du3XkyJFSc1vt379fU6ZM0Q8//KCkpCR16dJFgwYNCnr3WvEAnmBxFy+fM2dOmQN9KioqE1hvv/22Vq1aFfh/w4YNtWDBAnXq1Clo+c2bN5e459Lj8eiJJ57QLbfcEvI2jx8/LkmKi4sLuj4+Pr5EuWL16tXT1KlTde2116pZs2bKzc3Vxx9/rMmTJ2vt2rXq37+/Pvroo8AtjcF4c45ry/NTQoozZeQfgy73+2wh1S+Lz3Csnl9FmWJ/fmgZ46Bt5PrMYnBXftvFfLZ84zZM+XPMPkt/nll9SfLlmx0Q3kKzz1KSvF6vUX27128cgz9IwrwivIVl9/vg5fNK/JQkX0HF2jiZryAMx4NhE2GZZ6DArBFbgXkIfsNDypdv/ln488yC8OcWGscgv+H7yDP/alLeea74OmRyPQopBofZMel3mJ8nJbPzpM9vfjyYtuH1m193C2PC0MENeQvMrhe+nNCmvCiPP9esvpVbdL3x//zXf3+IowBOZDPcD7awfIcx/E5seL2RzK85PrNLf1EbhvvSn2veN73ZZm14vWGIwfB48OdU7ppVvP/8ufny+w2vR17zfqHKNmFZki0M2z/HHT16NPC0vvIGzHzyySfas2fPKRNYxcmrGjVqBPIUwdrLzMzUnj17dOGFF5ZYt3XrVj388MMlljVq1EivvvqqunTpEnRblR3oU1FRmcBauXKlpKLM4hdffKGHH35YPXv21COPPKL777+/VPk//elP+tOf/qS8vDx98803evrpp3XHHXcoPT1dixYtCmkeLMsquljZKthB+/Tpoz59+gT+n5iYGJh8rVOnTtq4caNeeeUV3XjjjeVtXd7c4+Ws/0XGs6XffyTZ9X9/ruoQgKi38e2/VHUIQNTbNZ3rEWBi3x+5FsHM3qoOIALsuuOxqg7BmD2pWrnro3kS96NHj5ZY7na75Xa7w769EwfBVHTATHntldVWWe253W7dcccdGj58uC644AJ5PB59+eWX+vOf/6y33npLffv21aeffqomTZqEvK2KxB2KqExgFatevbouv/xyvfXWW+rataseeOABXX311frVr34VtLzH41G7du305JNPyul0atasWZo9e7YmTpx4ym1Vq1bUMbOzs4OuL16ekJAQUuwJCQkaN26c7r77br399tvlJrCcsQlljqwKld9h+NemWKPqynfnatf//VlNfv+A7G5PpdooqGn212hXdfO/tleLr/oRWEePVW7/FfMdMPwwJcV/Z/YX1Ph95iMLPIcMR2AVhmEElstsPxQmVHwE1sa3/6JOfe6TM6boOCioYBsnK6gWhr9mG17Hw/GlxpFn1ogzDINx/IZX1Lya5p9FXl3DEVhJVT8Cy37M/KuJ83j5I7B2Tf+zmkyq/PUoFN54wxFY8ebnSXus2XnS5TE/HuIN20jyGA4bkpQQEwHX7gKzY+3AsfJ/QQxF7jGzk/WJI7D2/fEvqv/X+2T3VOx9mY7AcoRhBFbMUbM2PIfML1pOw8Paa/5VTjnnme2H/Ebm/eq8uoeN6ieF4e6KI/lmffPQ0eCjW07Fn5uvXXc8piZPT5TXb9i/q3AE1r4/TTffdgRr2LBhif9PmTJFU6dODVo2LS1NGRkZFWp//vz56ty5c2CwTHlCKXNy2fIG3wRrr169enrqqadKLLv00kv15ptvauTIkXrppZf0l7/8Rf/6179C3lZF4g5FVCewisXExGj48OHauHGjli1bVmYC60Q33XSTZs2apaVLl4aUwGrUqJEkae/e4H8rKF5eXC4UxY+s/OGHH8ovaLPJ4TI7udqchic2w19Q7W7r55+eCn/ZCbQRa/Zl3l52AjpkjjC0YcruMzsWrEru/xM53GZfQJ0x5r+YOZ2GCSwrDAksp9l+sGIql3xyxngCCSyfyyyB5XCF4UtPJCSw/GaNOMwPB9kMr6gOt/lnYfcYvpHYMNyXYprAKjT/amIP4cu8yfUopBg8hge24TVPkuxxZudJh8f8eHB4DK8XseadMyam6v/074wxO1E6TP9SIMnuNfz+oJLHg93jkT22ggksh9nxYK/0fU6/cBjeMuZwmR9PpncIW+Z3lMrhMTxXx5p/Fs54s+Pa6Q5DMtFpFoNpv7LHumX3G16LqvIWwlDuTqqiSdGN/Bzvd999p8TExMDi8kZf7dq1S9u2bavQZnJyciT9MlimeNmJ2zy5bCgDZk41+Kai7UnSfffdp5deeklvv/12hbZV0e2cylmRwJKk5ORkSdLBgwdPS/ni+0wzMjJUWFhY6kmEmzZtkiS1b98+pPYkKSsrS1L4PkwAAAAAAGAuMTExaDIpmE8++cRoO0lJSTpy5Ij27t2rNm3alCpTkQEzxWWysrKUnZ0ddB6sig7AKWvwzekY6FMew6m5I8fatWslSc2bNz8t5Zs2baoLLrhAubm5evPNN0utX7hwoSRpwIABIbUnSYsWLZKkMiefBwAAAAAAZ7fiATPFA2NOVFhYqIyMDLndbrVu3fqUbVWvXj2QMPr0009Lrd+7d68yMzPVqFGjUk8gLEtZg2/Ki/vE5RUZ6FOeqElgrVu3Tq+88kqpJ48VFhZq9uzZWrBggWJjYzV8+HBJ0oEDB/TYY48FZvM/0TvvvKPJkydLksaMGVNi3ccff6yUlBT16tWrVL0JEyZIkiZPnqwDBw4Eli9evFhvvPGGmjZtqsGDB5eoM2vWrFITlhUWFuqhhx7Sa6+9ptjYWI0ePTqkfQAAAAAAQLQonsQ92l5nWv/+/SX9MjDmROnp6crLy1OvXr3kCXH6g/Lae+211ySFZ/BN3759ZbfbtW7duhI5EknKz8/XsmXLZLfb1a9fv5C3VZ6oSWDt2LFDI0aMUL169dS3b1+NHDlSffr0UePGjTVu3Di5XC7NnTs3MNFaTk6Ofve736l+/frq0aOHbrzxRl177bW64IILdPXVV+vgwYMaP368hg4dWmI7OTk52rZtm3bs2FEqhltvvVXXXXedvv76a6WkpGjYsGG64oorlJaWJo/HoxdeeKHUrYX33HOP6tSpo0suuURDhw5V//791aRJE02dOjVQ5/zzzz99Ow4AAAAAAESssWPHKjExUUuXLtXixYsDyw8cOBAYfFM8oOZEKSkpSklJ0ffff19i+T333COHw6F//vOfWr9+fWD5119/rUcffVQOh0Pjxo0rUWf+/PlBbwVcvHix/vCHP0iS7rzzzhLr6tWrpxtuuEEFBQW68847Sww4mjx5sg4ePKgbb7xR5513Xqi7olxRMwdWamqq7rvvPq1du1aff/65MjMz5XK51KRJE6WlpWncuHFq0aJFoHydOnU0bdo0rVmzRlu2bNEnn3wiv9+vevXqacSIEbrtttvUs2fPCsVgt9v12muvaebMmZozZ47S09MVHx+v6667Tg8//LDatm1bqs6DDz6oDz/8UFu3btWXX34py7LUoEED3XbbbRo/fnxIQwAtexieTmVY3TKdxzUMEyQ7ss3yrQWmEyRKyjxsNtGjzWueM3YeNXwCYKb5RI+xB8w+UPeRMExOXGDYhuGTOSXJH2M4ibu9YjEUl7fstsC/bYZP9rCFoW9W9H2czBdz6jKnYvqk1XD8qc1meEjaw/AAQLvh5MR+KwwTJHvMdoTPcBJ4SfL5yr5o+X/+rH2xlqwyJlp35IbhSWflPAkxFP48869ofsOHPOQmmHdOb3Wz82RsjHnHqO0xm8y+Woz5k85chrN2F5ZzTIfKb9i38p0/Hw+Oos/EnlAoe1zF4vIXmh0PXsOHAkiS5TTbl5bhRPSSFGP6NPkwzNltLM/8mDyYZfb0vcMu88cxFuSbnee82ZWr788tuv4UHHPLYTfcl+EYLVTJYyqkr09RPIn7mVSzZk3NmTNH119/vdLS0pSamqrk5GStXLlShw8f1rhx44LeJVY8cXxhYcnrZevWrTV9+nRNmDBBl19+ua666iq5XC6tWLFCubm5mjFjRqlcxJw5czRmzBilpKSoSZMm8ng8+vLLL7V161ZJ0qRJk3TdddeViuGJJ57Q+vXrtWjRIqWkpOiSSy7Rli1blJGRoebNm+vxxx8P126KngRW06ZN9eijj4ZcPi4uTpMmTdKkSZMqtJ2ePXuW+6hHh8OhCRMmBM1+BvPQQw9VaPsAAAAAAODcMnToUL333nt65JFHtH79ehUUFOiCCy7QXXfdVWrqo1CMHz9eLVq00PTp07Vu3TpJRbcATpo0SYMGDSpV/je/+Y1q166tzz77TO+//75yc3NVu3ZtDRkyRHfccYd69+4ddDvJycnasGGDpkyZotdff11LlixR3bp1dffdd+uhhx5SzZo1Kxx7WaImgQUAAAAAAHC2uuyyy7R8+fKQy5c3+EaSBg4cqIEDB4bU1siRIzVy5MiQt32iGjVqaNasWZo1a1al6oeKBBYAAAAAADgtqmJSdJydomYSdwAAAAAAAJybGIEFAAAAAADCz7KKXtEk2uI9hzACCwAAAAAAABGNEVgAAAAAACDsbFb0zYEVbfGeSxiBBQAAAAAAgIhGAgsAAAAAAAARjVsIAQAAAABA+Fk/v6JJtMV7DmEEFgAAAAAAACIaI7AAAAAAAEDY2fxFr2gSbfGeSxiBBQAAAAAAgIhGAgsAAAAAAAARjVsIAQAAAABA+DGJO8KIBFY0sEkF1c16kc2wE9p8ZvV11Fb002uTzWurVBOurMrVK2bLNB9waHo/tN1rHIIcuWb13UfNb+p2HzFrw14QhhvLbWbHg8/tMA7BG2d2TBXGVuw9+BxF5b0emyzXz/92m+4Hs/qS5I03q19YLRzHg1n1ghzz/RBz3LwNU8ZzNhSYnyetGMMLhsP8W6NVztsoXmfZyy7nKDD/LE3P1eGYf8O0fxdW8npdog2Xy6h+QaL5udrtMLv4Vo8x/DAluQ2/ABT4zPdDod+sfx93FB2UPluBJCk2vkCOuIodI16v2fvwFobh2m14jimwmf/6ZNnNPgt7oXEIxt/tncfCcExabrP6drP6kir9e0kxe2WvF3lF+89+3CF7TATcFFXZXxZJ9OAMI4EFAAAAAADCzmaZD6Y406It3nNJBKR7AQAAAAAAgLKRwAIAAAAAAEBE4xZCAAAAAAAQfpZV9Iom0RbvOYQRWAAAAAAAAIhojMACAAAAAABhxyTuCCdGYAEAAAAAACCikcACAAAAAABAROMWQgAAAAAAEH7Wz69oEm3xnkMYgQUAAAAAAICIxggsAAAAAAAQdkzijnBiBBYAAAAAAAAiGiOwAAAAAABA+FlW0SuaRFu85xBGYAEAAAAAACCikcACAAAAAABAROMWQgAAAAAAEHZM4o5wIoEVDWyS3+M3a8NvM6ruyDWsX/DLT0clm3IdMQpBzhzzM5HdZ1bfCsOYR8vso5BlM2xAkjfO7I1YDvNTj83ws/B5zPdDQbzZfvDGVqy8r6Ao5oJqNjlcRf/2xZq9j4JqRtUlSfnJZh+GMznPOAZPbIFR/bxcl3EMOYc8RvUdx81PEOE4xxjH4DMMwmfeN23ltFG8zuazlVnO5jUOQU7Dw9peGIZrVqHZvrScYbhe5DqM6ucWxBjHkOszb8NUrKPQqH6Sy/w8mV3oNqrv8xf1bZ+36L3EugrlcFWsv+cb/lZoC8NvlX7D78T+fLNjWpJ8+Yb7IRznScPznDPbPAZ7gdm+jIRrXmXvZ7L9/J3OUWCTDE9RliMM2ZbKfpzmhwFQISSwAAAAAABA+Fk/v6JJtMV7DomEvDUAAAAAAABQJhJYAAAAAAAAiGjcQggAAAAAAMKOSdwRTozAAgAAAAAAQERjBBYAAAAAAAg/v1X0iibRFu85hBFYAAAAAAAAiGgksAAAAAAAABDRuIUQAAAAAACEn/XzK5pEW7znEEZgAQAAAAAAIKIxAgsAAAAAAISdTZItykY02ao6AJSJEVgAAAAAAACIaCSwAAAAAAAAENG4hRAAAAAAAISfZRW9okm0xXsOYQQWAAAAAAAAIhojsM4RNn/V1rd7f/lpd1SuDUe+WSbcaVhfkvwOsyn9vB7jEFSYYBaDP8Y8BtOpDZ155rlze75ZfZvf/HiwnGf2ePDlF22vMN4mv7vo3z7DY6qwmvl+sFUvMKrfuM4h4xiaVcs0ql/gN78cbq9R26j+/kOJxjH4cg3fRzhmLY2EmVrLi6F4nc0qs5xlN98RVgTMAGt87feGIYZ8sx2Rm2d+0TpaYHaizPeYnx8SHGYXrWrOPOMYqrncRvVzvUWfhddRdGC4HV45nRX7Uuf1mV3/C1XJL5FhZDnC8P3B8G1YYfgNzlZoVt9uWF+SbF7DE2UYhmKYXv597sodD9YJPy232cnatL4kqZLHdSjXunIutxEr2uI9lzACCwAAAAAAABGNBBYAAAAAAAAiGrcQAgAAAACA8LP0yz2T0SLa4j2HMAILAAAAAAAAEY0RWAAAAAAAIOxsliWbFV1DmqIt3nMJI7AAAAAAAAAQ0RiBBQAAAAAAws//8yuaRFu85xBGYAEAAAAAAFSxDz74QNdcc41q1qyphIQEde7cWfPmzat0e+np6UpNTVVSUpISExOVmpqq9PT0oGVHjx4tm812yteePXtK1GvSpEm55bdu3Vrp+E/GCCwAAAAAAIAqtGTJEg0bNkx+v189evRQcnKyVq1apdGjR2vz5s2aMWNGhdqbNWuW7rnnHjmdTvXu3Vtut1srVqzQwIEDNXPmTI0bN65E+e7du5fZ1rZt27R+/Xo1btxYDRs2DFpm1KhRQZcnJSVVKO7ykMACAAAAAABhxyTuocnKytKYMWPk8/m0aNEiDRkyRJK0f/9+de/eXY8//rgGDhyoK664IqT2tm/frokTJ8rtdmv16tXq2rVrYHm3bt00ceJE9evXTy1btgzUGTt2rMaOHRu0veHDh2v9+vW66aabZLPZgpaZO3duBd5x5XALIQAAAAAAQBV59tlndeTIEV177bWB5JUk1a1bV9OmTZOkCo3Amjlzprxer26//fZA8kqSWrVqpfvvv19er1ezZs0Kqa2jR49q2bJlkqSbbrop5BhOBxJYAAAAAAAg/KwofZ1hxfNSpaWllVrXv39/eTwerVy5Unl5ecbtDRs2TJICSalTWbRokXJzc/WrX/1KKSkpIdU5XbiFEAAAAAAAoIp8/vnnkqSLL7641DqXy6V27drpk08+0bZt29ShQ4dy2zp8+HBgovWOHTuWWt+gQQMlJydr9+7dOnLkyCnnqHrhhRcknXr01fTp07Vjxw653W61bdtW1113nWrXrl1unYpiBBYAAAAAAEAVOHr0qA4fPiypKLkUTPHyk58AGExxmRo1aig+Pt6ove+//15r1qyR0+nUiBEjyi07efJkPfPMM5o1a5Zuu+02NWnSRM8999wp460IElgAAAAAACD8LCs6XypKLJ34ys/PPy276Pjx44F/x8XFBS1TnIg6seyp2iurrYq09+KLL8rv96tPnz6qU6dO0DKDBg3S4sWLtXv3buXk5CgjI0MTJkxQfn6+xo4dq9dff/2UMYeKWwgBAAAAAABO0LBhwxL/nzJliqZOnRq0bFpamjIyMirU/vz589W5c2dZITz1MJQyJ5ct62mBFWmv+PbBm2++ucwyJ08G37ZtWz322GNq3bq1brvtNv3+97/X4MGDQ9reqZDAihb+sg++UNh8Zps3rR+YCM9gUjzLYRZCYazZPpQkb5xZG/m1jENQfrLZh2FLKjCOwe4wm9kwJ9f81OPIMmvDdcR8AKrdcFdaFQzB7//5Z4xki/m5DcNdaTnNZ6l0xJgdkzXcOcYxXBD/g1H96g7zGBrFHjKqvzk2+JDxivjuaPlzGJxKTp7bOAZvodnJ2mt4vZMkf0zZMfi9P/90SooJXsYqY3mFYnCZ1bdZ5vuhoueY08HmM3sffp/hxV+Sz2+2I9x2r3EMyTHHjOp77IXGMRzzeozqZ9oSJEl2mxX4WfzvUBUafp6m5xdJsrxV3zH8LrNrr/kRGYbfDfxhCML0K4j5abLoWmDAF1e5HeH/eQf6Yv2yxZrtTLvH/Iio7Hd7WwjnAJtV9IomxfF+9913SkxMDCx3u8v+nrRr1y5t27atQtvJySn6/lmtWrUSy07c5sllExISTtlucXvZ2dmn3HZ57X3xxRf64osvlJiYqEGDBp1yuycbO3asHnjgAW3fvl07d+5U06ZNK9zGyar+DA4AAAAAABBBEhMTS7zKS2B98sknsiyrQq+ePXsGtlM8kfrevXuDtl+8vFGjRqeMu7hMVlZWmUmsUNpbsGCBJGno0KGKjY095XZPZrfb1bx5c0nSDz+Y/bE50GZYWgEAAAAAAECFFT9ZcNOmTaXWFRYWKiMjQ263W61btz5lW9WrVw8kpj799NNS6/fu3avMzEw1atSozCcQ+v1+/ec//5FU/u2Dp5KVlSUptJFjoSCBBQAAAAAAwq+qJ2M3mMT9TOrfv78kaeHChaXWpaenKy8vT7169ZLHE9rt4OW199prr0mSBgwYUGb9NWvWaO/evWrYsKFSU1ND2ubJtmzZom3btikuLk4pKSmVauNkJLAAAAAAAACqyNixY5WYmKilS5dq8eLFgeUHDhzQ5MmTJUkTJkwoVS8lJUUpKSn6/vvvSyy/55575HA49M9//lPr168PLP/666/16KOPyuFwaNy4cWXGUzx5+8iRI2W3l502evvtt7Vx48ZSyz///HMNGzZMlmVp7NixcrkMJwf9GZO4AwAAAACAsLP5wzTp/xlUFfHWrFlTc+bM0fXXX6+0tDSlpqYqOTlZK1eu1OHDhzVu3Dj16tWrVL3iieMLC0s+7KN169aaPn26JkyYoMsvv1xXXXWVXC6XVqxYodzcXM2YMaPM2xHz8vK0aNEiSdJNN91UbtwffvihHnroITVu3FjNmzdX7dq1tXPnTm3atEler1epqan661//WpldEhQJLAAAAAAAgCo0dOhQvffee3rkkUe0fv16FRQU6IILLtBdd92lMWPGVLi98ePHq0WLFpo+fbrWrVsnSerUqZMmTZpU7lMF33jjDR09elQdO3ZU27Zty91Gnz599N1332nDhg3avHmzjhw5osTERHXv3l0jR47UmDFj5HCYP0G2GAksAAAAAACAKnbZZZdp+fLlIZe3TjFf18CBAzVw4MAKxXD99dfr+uuvD6ls165d1bVr1wq1b4IEFgAAAAAACL8qmhTdSLTFew5hEncAAAAAAABENEZgAQAAAACA8LN+fkWTaIv3HMIILAAAAAAAAEQ0RmABAAAAAICws1mWbFE2p1S0xXsuYQQWAAAAAAAAIhoJLAAAAAAAAEQ0biEEAAAAAADhZ1lFr2gSbfGeQ0hgRQunWSeyLJtZ/Rij6vK5TvjpqlwbhQlm7yEcCquZ1c+v7TOOIa7ecaP6LWplGsdQ22MWw0/5ccYxbDtYx6h+7l7DD1OS56DZIFZHfsXKW96in3avZHcYbfqXGPLM+5U3z+wEkeOt5EnhBB5boVH9lq4fjWNoGPOTUf0azmzjGD6JaWJUf9fRmsYxHM6JNarv84ZhcLitnGtm8TqbVX65KmZ42S5qw/A8YYXhW6IVY7aPnU7z62Y1V55R/Xquw8YxNHMdMKp/yJdgHMOP+UlG9b1+e+mf/or113zD60VhruEXUkkqrPrvk/5Yv1n9hDCcu0zPf/4w7EfTNsx2YxHTS46jcvvR+jl4K9Yve4zhGwnH9SIcFx3gDCCBBQAAAAAAws9SeJKNZ1Lk/n3rnMccWAAAAAAAAIhoJLAAAAAAAAAQ0biFEAAAAAAAhJ3NsmSLsknRoy3ecwkjsAAAAAAAABDRGIEFAAAAAADCz5IUbSOaoizccwkjsAAAAAAAABDRSGABAAAAAAAgonELIQAAAAAACD/LisJbCKMs3nMII7AAAAAAAAAQ0RiBBQAAAAAAws8vyVbVQVSQv6oDQFkYgQUAAAAAAICIRgILAAAAAAAAEY1bCAEAAAAAQNjZLEu2KJsUPdriPZcwAgsAAAAAAAARjRFYAAAAAAAg/Cyr6BVNoi3ecwgJrGhgt2SvXmDUhL/QbLBdYZ7DqL78RY9yKKjpl91Tucc6+HLNHl9h8xlVL4rBbVbfcpk/0iLWVWhUv37cEeMYLoj7waj+sViPcQw5XpdR/W1ZscYxKNMsBmduxcrbfj4NOPMkx8+Hks1rdoF1FJg/FibHFWNUf1/NROMYDtVMMKpfzW52jpWklo4KfqAnibftMI6h0DI7V+d4zT5LSTqWZ3aitLzmg8OduWW3YcsrWufIs8texkB053HjEBRz3PDLbxi+OxfGmPVvn9s8CH+c2cU3MT7POIbzPMeM6jeMOWQeg9P82mvKaTf7LPK9Rb82+HxF7RT4nPJ5K/arRGGO2TnGlm34fTQMLLf5dzlHgteofmxcvnEMLqdZDF6f+WdR6DVro7DA/FdZv8/sPGn5KnfNsnmLjiNbjF+W3zCG/KrrF5YVbY8XRLQjgQUAAAAAAMKPEVgII+bAAgAAAAAAQEQjgQUAAAAAAICIxi2EAAAAAAAg/LiFEGHECCwAAAAAAABENEZgAQAAAACA8PNLiraHFZo/bBSnCSOwAAAAAAAAENFIYAEAAAAAACCicQshAAAAAAAIO5tlyRZlk6JHW7znEkZgAQAAAAAAIKIxAgsAAAAAAISfZRW9okm0xXsOiaoRWDNmzNCQIUPUsmVLJSUlye12q3Hjxho1apS2bNlSqvwbb7yhUaNG6cILL1RycrJiYmJUp04dXXPNNXrzzTcrFYPf79cTTzyhCy+8ULGxsapdu7aGDRumL7/8stx66enpSk1NVVJSkhITE5Wamqr09PRKxQAAAAAAAHAuiaoE1l/+8hctX75cNWvWVK9evdS/f395PB7Nnz9fF198sZYvX16i/Pz587VgwQJJUpcuXTR06FA1a9ZMy5cv14ABA/Tggw9WaPuWZWn48OEaP3689u7dq/79+6tt27ZatGiRLrnkEn300UdB682aNUsDBw7UBx98oG7duunKK6/Uhg0bNHDgQM2aNatyOwMAAAAAAOAcEVW3EC5dulSdOnWSx+Mpsfzpp5/WnXfeqbFjx2rPnj1yOBySpPvvv1/PPPOMatWqVaL8Rx99pN69e+uRRx7RiBEj1KZNm5C2//zzz2vhwoVq2bKl1q1bp7p160qSFi1apLS0NI0cOVJbt26V0/nLbt2+fbsmTpwot9ut1atXq2vXroHl3bp108SJE9WvXz+1bNmy0vsFAAAAAICI47ckW5TdkuePsnjPIVE1Auuyyy4rlbySpDvuuEMtWrTQvn37tG3btsDyjh07lkpeSUWjsUaMGCHLsrRmzZqQt//YY49JkqZNmxZIXknS0KFDNWjQIO3YsUNLly4tUWfmzJnyer26/fbbA8krSWrVqpXuv/9+eb1eRmEBAAAAAACUI6pGYJWneNSVy+U6LeV37typL7/8UrGxserfv3+p9WlpaXrjjTe0bNkyDR06NLC8eJ6rtLS0UnWGDRumCRMmaNmyZZo9e3bZsdr9an7ewZDiLEuB32FUP7sgtP1UlsOxRT9jzs+WI85XqTbyjrqNYrAdNz/c7V7DBrw24xiy88w+i8z8eOMYDrnM2vDLfD8Ys8xjsBea1Xcdqdhfd3wFVqCew1X075gcv1EM3mPm+8FymP0tJKtmgnEMu8+raVS/sJr533Nq2c36ZkxMnnEMB9w/GNXfGVvbOIbdjhpmDRSYfxauw2Uf1778onUxR2xy5AUvF3vQ/C+vrmzDvukx75uFCWZt+Mwuu5IkR4LZibJ6bK5xDIlOszZ8Ybhm5VkxVVpfkryG3wW9vqK+6fv5p9dnl+WrYH8tNOvf9oJwXLMM6zvNzw9x8Wbn+7rVjhvHEGOv3PfxYscLzE8QR3JLD0yoCK/X/Hphec1+P7B8lTsmi+tZPptshYbHdRi+01Z6hFQo1ZjEHWEUVSOwyjJ//nxt27ZNrVq1UrNmzU5Z/vPPP9crr7yimJgY9erVK6RtbN68WZLUrl07xcSU/hJx8cUXlygnSYcPH9aePXskFY0GO1mDBg2UnJys3bt368iRIyHFAQAAAAAAcK6JyhFY06dP15YtW5Sdna2vvvpKW7ZsUf369fXSSy/Jbi+dk1u2bJkWLVqkwsJC7dmzRx988IFiYmL0r3/9S02bNg1pm8WJqAYNGgRdX7y8uNyJ/65Ro4bi44OPWGnQoIEyMzO1Z88eXXjhhSHFAgAAAAAAcC6JygTW22+/rVWrVgX+37BhQy1YsECdOnUKWn7z5s2aN29e4P8ej0dPPPGEbrnllpC3efx40VDduLi4oOuLE1TF5UKpU1a9kxVk5ei9of8KKc5u80cFXW46bNxXaDaM0p9b/DPfoA2zGGy5YTjczUZby28zu6VEknw5ZsPOC7MLjGPIt5ndEhKOWwi92ZU/liTJn2t+u5Yv3+yAKL4lMOTyhXklfkqSrdDsmPLZzT8LX77ZYF6T80KxguNmx/Vxj3nfPOoya+OY3zyGnDyzY9J0P0qSLycS+mbZ53tffl6Jn0HLVLBvBuM9G/pmXhhuoTC8Zpme6yUp32V2zcrxG178JWU7zY6HHK95DAXHzfZDcd8++WdFmPZvW14YbhkzvIXQH2M6n4T5edJrN+8XNsNbCL3mlwv5yriNO1R+w2ueJPkLDW8hrORtscV9wZ+bZz7FSFXeQihLOuX3+ii8hTCkeyNRFaIygbVy5UpJRbfoffHFF3r44YfVs2dPPfLII7r//vtLlf/Tn/6kP/3pT8rLy9M333yjp59+WnfccYfS09O1aNGikObBsn7udDZb6CeIUOpYoXRmqyiJFYo1A58OqVxV2XnbjKoO4Zz3TRjaeCMMbaDyPl/056oOIeLMr+L6keNHw/pbwhJFNPj2Hw9XdQgIwe4wtPFeGNo4O3wW1ta23spDiKrK1qoOAGGz73d/q+oQjNkTq1V1CDiHRGUCq1j16tV1+eWX66233lLXrl31wAMP6Oqrr9avfvWroOU9Ho/atWunJ598Uk6nU7NmzdLs2bM1ceLEU26rWrWijpmdnR10ffHyhISEkOtIUk5OTql6J3PViCtzZFWoTCdxzyk0m5z4yE9Fyaumz0yQPbZykz7mH4uASdwN/9DjizUfYeFJDi2ZWZY2dfcbx3BBgtkvyeEYgfXJoUZG9b/eWc84hridZpPqxu+r+Aiszxf9We2HPiBHTNHEp85cw1Ee7jA8WKC+2V/Es1ub/yX5yhSzr/Ojk/9nHEN7l9k55pjffOTRB3mln7xbESuPtDWO4ZMDDY3qZ+1LMo4h9rvyR2B9+4+H1ezuB+VwB59AOP4H87+8mj5gIRx9M6e2Wd/MPS8Mf4GuZzaBeuM6h4xDuLjGd0b1L4wzqy9JdZ1Hjerv9yYax/DB0VZG9df/2FhS0eihrbfOUsqccXLEVey72ZEfzX7RdWRHwAisauYjsBJqmn2Xq5NwdkzifjTPbBL3vDzz7/beKhyBte93f1P9v/9B9phYoxiqcgTWvgemn7oQk7gjjKI6gVUsJiZGw4cP18aNG7Vs2bIyE1gnuummmzRr1iwtXbo0pARWo0ZFvyzv3bs36Pri5cXlTvx3VlaWsrOzg86DFaxeKTbJGW92kfAbJrAchk8htP98nbbHuuWIq9zFyu41TGD5qv4phFYYEliOOLM2YuLNPktJcieYJW7CkcBy5psdD/ZYsy9NkuRwm+2H4icJVrhejEcO188JLK/hMeUy/ywcbsOnSsWax+BKMDuuE8LwFMJEl2EbfvMY4mLMzvUun/n5wXE8Evrmqc/3DrenzARWZfvmiZyGtxBGRN/0hOELfJxZG6bffyTza1ZcvGHGQ1K80+yziPOax+DyG16zTkpWOeLcFU5gmfZve0WfehiEaQJLseYJrMo+kbuYM97wMciSnIYJLGeMed902A2vF3bzp3PaCwwTWIZ92x7rkT3G8LpXpbcQRsCTxXFOOSueQihJycnJkqSDBw+elvIdOnSQJGVkZKiwsPRFY9OmTZKk9u3bB5ZVr149kJj69NNPS9XZu3evMjMz1ahRIyUlmf/FGQAAAACAiOG3ovOFiHTWJLDWrl0rSWrevPlpKd+0aVNdcMEFys3N1Ztvvllq/cKFCyVJAwYMKLG8f//+Jdaf6LXXXgtaBwAAAAAAAL+ImgTWunXr9Morr8jrLTlst7CwULNnz9aCBQsUGxur4cOHS5IOHDigxx57TIcPHy7V1jvvvKPJkydLksaMGVNi3ccff6yUlBT16tWrVL0JEyZIkiZPnqwDBw4Eli9evFhvvPGGmjZtqsGDB5eoc88998jhcOif//yn1q9fH1j+9ddf69FHH5XD4dC4ceNC3xEAAAAAAADnmKiZA2vHjh0aM2aMkpOT1alTJ9WqVUuZmZn64osv9MMPP8jj8Wju3Llq2LBo8ticnBz97ne/0wMPPKBLLrlEDRo0UHZ2trZv366tW4sm+x0/fryGDh1aYjs5OTnatm2b8vJKT6Z766236q233tKSJUsCSa7MzEytXbtWHo9HL7zwgmJiSt6L3bp1a02fPl0TJkzQ5Zdfrquuukoul0srVqxQbm6uZsyYodatW5+mvQYAAAAAQBWx/EWvaBJt8Z5DoiaBlZqaqvvuu09r167V559/rszMTLlcLjVp0kRpaWkaN26cWrRoEShfp04dTZs2TWvWrNGWLVv0ySefyO/3q169ehoxYoRuu+029ezZs0Ix2O12vfbaa5o5c6bmzJmj9PR0xcfH67rrrtPDDz+stm2DP71p/PjxatGihaZPn65169ZJkjp16qRJkyZp0KBBld4nAAAAAAAA54KoSWA1bdpUjz76aMjl4+LiNGnSJE2aNKlC2+nZs6esch6b6XA4NGHChMDthKEaOHCgBg4cWKE6AAAAAABELcsqekWTKoz3gw8+0COPPKL169eroKBAbdq00V133aVRo0ZVqJ3MzEy9/vrr+vjjj/Xxxx8rIyNDPp9P//nPfzRixIhy63711Vd68MEHtWbNGh0/flwtWrTQrbfeqnvuuUd2e/BZqA4fPqypU6dqyZIl+vHHH3Xeeedp8ODBeuihh1S9evUKxV6eqElgAQAAAAAAnI2WLFmiYcOGye/3q0ePHkpOTtaqVas0evRobd68WTNmzAi5rffff1+/+c1vKhzD+vXr1atXL+Xk5Khz585q0qSJ3nvvPU2YMEH/+9//9Nprr8lms5Wo89NPP6lr1676+uuv1axZMw0ePFhbtmzRrFmz9NZbb2n9+vWqVatWhWMJJmomcQcAAAAAADjbZGVlacyYMfL5fFq4cKHWrFmjhQsXauvWrWrRooUef/xxrV69OuT26tatqzvvvFPPP/+8MjIydPPNN5+yjtfr1U033aScnBzNmDFDH330kV555RV9/fXX6tq1qxYtWqS5c+eWqjd+/Hh9/fXXGjJkiLZt26ZXXnlFGRkZ+n//7//pm2++qfDda+UhgQUAAAAAAMLPb0Xn6wx79tlndeTIEV177bUaMmRIYHndunU1bdo0SarQCKyuXbvqySef1OjRo9W2bdsyb/070ZIlS7Rjxw516NBB48ePDyxPSEjQk08+GTSGH3/8US+++KJiYmL01FNPyen85Sa/6dOnq3bt2nrxxRe1f//+kGMvDwksAAAAAACAKpKeni5JSktLK7Wuf//+8ng8WrlypfLy8qokho4dO6pZs2bKyMjQrl27AsuXL18euOWxbt26Jeq43W4NHDhQPp9Py5cvD0uMzIEVBdx2n66ss82oDZ9llqvM8buM6n/n8WiHpK4NdsmVULm2th2uYxTD9weqG9WXJH+W2X6wFZjnjPOOu43q7zpS0ziGAp/ZqcNreDxK0p5DNYzqOw+Zn/7ch8z+OhP7k7dC5b2FReU9h7xyxhT9O+ZooVEMfpfDqL4kWXazfpFX06y+JG07v+6pC5VjV/Vk4xjauX4yql/DEWccQ/MYsxgae8zqS9KX7vOM6h8Kw5OrY7LLXmfP/6WMo4wu6DnsM47BmWv2RvxO83OUZdiEL958PyTG5RvVj3cWGMdw1BtrVH9LbgPjGHY7zM4xhX7z4yHXF2NU3+koOqZtP/90OvxyOCp4nMcY9ouYMPzt3Wl27XbEVuzaHUyip+r7RbbX7NqblWPWryQp+4hZG1au+XcYm9d26kLl1a9svZ9jt+U4pASzGEyPaaM2QgmdSdxD8vnnn0uSLr744lLrXC6X2rVrp08++UTbtm1Thw4dTksMmzdvLjOG4uXffvutNm/erCZNmoRcZ86cOYFyphiBBQAAAAAAUAWOHj2qw4cPS5IaNAj+R5Pi5Xv27DltcRS3XZEYKlPHBCOwAAAAAAAATnD06NES/3e73XK7ze6GCeb48eOBf8fFBR+RHx8fX6rs6YqjIjFUpo4JElgAAAAAACD8LEXhLYRFPxo2bFhi8ZQpUzR16tSgVdLS0pSRkVGhzcyfP1+dO3eWFcL+CaVMuNhswe8NDRZD8bKK1DFBAgsAAAAAAOAE3333nRITEwP/L2/01a5du7RtW8Xmrc7JyZEkVatWrcSyE7d5ctmEhIQKbaMiEhISlJWVpezs4JOJBouhOPaK1DFBAgsAAAAAAIRfFE/inpiYGDSZFMwnn3xS6c0lJiYqKSlJR44c0d69e9WmTZtSZfbu3StJatSoUaW3cyqNGjVSVlaW9u7dq/bt24cUQ/G/i9eFUscEk7gDAAAAAABUkeInC27atKnUusLCQmVkZMjtdqt169ZVEsOJy09MblWmjgkSWAAAAAAAAFWkf//+kqSFCxeWWpeenq68vDz16tVLHo+nSmL49NNP9e2336pNmzZq2rRpYHnfvn1lt9u1bt06HThwoESd/Px8LVu2THa7Xf369QtLjCSwAAAAAABA+Pn90fk6w8aOHavExEQtXbpUixcvDiw/cOCAJk+eLEmaMGFCqXopKSlKSUnR999/bxzDddddp6ZNm2rz5s16/PHHA8uzs7N11113BY2hXr16uuGGG1RQUKA777xTXq83sG7y5Mk6ePCgbrzxRp133nnG8UnMgQUAAAAAAFBlatasqTlz5uj6669XWlqaUlNTlZycrJUrV+rw4cMaN26cevXqVape8cTxhYWFpdZdeumlgX/v2LFDkvTAAw/oiSeekCRdfPHFeuqppwJlYmJi9MILL6h3796aMGGCXnnlFTVu3Fjr1q3TDz/8oMGDB2vMmDGltvPEE09o/fr1WrRokVJSUnTJJZdoy5YtysjIUPPmzUskw0yRwAIAAAAAAOEXxZO4n2lDhw7Ve++9p0ceeUTr169XQUGBLrjgAt11111BE0en8tFHH5Va9s033+ibb76RpKC3I3br1k0bNmzQlClTtGbNGn322Wdq3ry5Jk6cqHvvvVd2e+mb+JKTkwN1Xn/9dS1ZskR169bV3XffrYceekg1a9ascOxlIYEFAAAAAABQxS677DItX7485PJWOcm28taVp23btkHnwSpPjRo1NGvWLM2aNatS2wwVc2ABAAAAAAAgojECCwAAAAAAhB+3ECKMGIEFAAAAAACAiMYILAAAAAAAEH5+S1KUjWjyR1m85xASWFEgxuZVl7gdRm3Ybf4wRVM5e/2xekFSnxoZiqvmqFQbNV0tjGJ4t7CVUX1Jysw16zK23Mq99xNZeWZtZB2JN47heK7bqH5+XoxxDLb9ZjEkfG8zjiF+v9eovudgXoXKe31F5T0/5cn582Fgz843isFymV8GYj1mg3k9mebHw97M6kb1P6/b0DiGi937jOo3jTHfD3UdZuf6CzzfG8ewpVo9o/q7PcnGMZiyF5h/cbX5zNrwm18u5C39cKEKscWbneMkKSm2Yue5k7kc5jHsy000qv/NMfNj0m4zOx4SYszO9ZLkt8yue7ExRY9o9zqLfnqchXLGVOz8HxNfYBRDYTh+pzS8/8TtLv2o+gq34TQ7rvN85tfuA8cSjOof329WX5JcmWYnOkee+Xc5y/Bc642t3EFpyys6EB05dllxZu/DivEZ1Zckh7tybdgMz21ARZHAAgAAAAAAYWdZfllW1Q6mqKhoi/dcwhxYAAAAAAAAiGgksAAAAAAAABDRuIUQAAAAAACEn2VF36ToVpTFew5hBBYAAAAAAAAiGiOwAAAAAABA+FmWpCgb0cQIrIjFCCwAAAAAAABENBJYAAAAAAAAiGjcQggAAAAAAMLP75ds/qqOomKsKIv3HMIILAAAAAAAAEQ0RmABAAAAAIDwYxJ3hBEjsAAAAAAAABDRSGABAAAAAAAgonELIQAAAAAACDvL75cVZZO4W0ziHrEYgQUAAAAAAICIxggsAAAAAAAQfkzijjAigRUF7LJU25Ft1IbH5jOq77YZVVeC65gkKcV1QAmuyg38OxwbZxTDF/H1jepL0k+eBLMGCqp+0KM332HeRq7ZqcN+1PzUE7vfbF/GHTAfGuzJLDCqbz+SU7Hyvvyf6+XK7iiK31ZQaBSDfC6z+pKcOR6j+q5j5sfD8aNm72NnTi3jGPZXizWq38Bpdp6WpCS72WfRyJllHEOjWLM2YuLM+pUk+VxlHw8+q7iMpDKKWQ7Di54kv9OsDZ/LPAafx+wLeIzHaxxDgivfuA1Th/LijeofPGZWX5Isy+zzTIrPNY6hhsesDbez6Hhw/PzT7fTK6azYd4pYj9k1y++v+u9RrjCcq+02s76ZU2h+7T5+3Ox6EXPI/Puk56BZv3AUmCcZvLFmMViV3Q0/X+rsBZLpEWV3mn+njYkxP66BM6HqrwIAAAAAAABAORiBBQAAAAAAws9vSYajDs84biGMWIzAAgAAAAAAQERjBBYAAAAAAAg/y5JkPk/XGcUIrIjFCCycEX1TD1Z1CEDUW7fzX1UdAhD1vnn2r1UdAhDV1t8yt6pDAKLe7ie4FgGVwQgsAAAAAAAQdpbfkhVlc2BZjMCKWIzAAgAAAAAAQEQjgQUAAAAAAICIxi2EAAAAAAAg/Cy/om8S9yiL9xzCCCwAAAAAAABENEZgAQAAAACAsGMSd4QTI7AAAAAAAAAQ0UhgAQAAAAAAIKJxCyEAAAAAAAg/JnFHGNksbvCMaDExMfL5vapVy2ywnM00EMMGMg/6ZVlSrWS7bJVsq1AOoxhyfTFG9SXJ5zOLQWHobcZNGB8M5sJxG7zNV7X1i9owfCP+itUv8GVLklyOOBV/kKYfZ1guAA6z85M/DH9KMW3DFeM1jiHeXmBUPyYC+mZhGL4S5Flm59o8r/m52lZY9s70Zh+XZMkRV63M65HN/HAw7pv+MIyRt0z7lsP8eHDYzX4JsIehX/gss0b8/qrvnPYwXDhtYZqDpiArR7IkV424Ch/ofsvswI6E31oq+z32RHabWb+wwvBlzvi49pnHEI7vYsYM30ZlTy++7OOSZckRnyA5DIMIyxfrylXzHcmWbDZZvtIf5tGjR5WUlKTuukZOmV/bzySvCvW+3tKRI0eUmJhY1eHgBCSwIlxsbKy8Xq+Sk5OrOhQAAAAAACRJmZmZcjqdys3NLbUuLy9PTZs21Y8//lgFkZk777zztHPnTnk8nqoOBScggQUAAAAAAMIqLy9PBQVmI9SrisvlInkVgUhgAQAAAAAAIKLxFEIAAAAAAABENBJYAAAAAAAAiGgksM5yGzdu1N/+9jcNGTJE559/vmw22ynv5d27d69uv/12NWrUSG63W/Xr19fo0aO1a9euMuvk5OTokUceUdu2bRUbG6tatWqpX79+Wrt2bYVjbtKkiWw2W7mvZs2aBa371VdfadiwYapdu7ZiY2N14YUX6vHHH5ffz6NQUXnR2I+K+f1+/fvf/1b37t1Vo0YNxcbGqlmzZho5cqS2bNkStA79CKdDNPajuXPnlnstGjFiRJl16Uc4HaKxHwVz6623BvrR+vXryyxHP8LpEI396L333tNvfvMbXXzxxapbt65cLpdq1qypK664Qi+88EK5delHOKtYOKtde+21lqQSL7fbXWb5L774wqpdu7YlyWratKk1ZMgQq3379pYkKykpyfr8889L1Tl27Jh1ySWXWJKsmjVrWgMGDLC6d+9uOZ1Oy2azWc8//3yFYp44caI1atSooK8mTZpYkqxbbrmlVL0PP/zQiouLsyRZnTt3tq6//nrrvPPOsyRZQ4cOtfx+f4XiAIpFYz+yLMvKzs62rrzySkuSVaNGDWvAgAFWWlqa1alTJ8vhcFgLFiwoVYd+hNMlGvvR888/b0myOnToEPSa9NRTTwWtRz/C6RKN/ehk7777riXJstlsliTrww8/DFqOfoTTJRr70cSJEy1JVqtWraw+ffpYI0aMsC6//HLL4XBYkqybb745aD36Ec42JLDOcn/729+sBx980Fq2bJn1448/lnuC9vv9gZPxrbfeahUWFgbWzZgxw5JktW3b1vL5fCXq3X333ZYkq1OnTtaBAwcCy9etW2fFxcVZbrfb2r17t/F78fl8Vv369S1J1jvvvFNiXWFhodW8eXNLkjVjxozA8mPHjlldu3a1JFlz5swxjgHnpmjtR9dff30gjuzs7BLr9u3bV6o9+hFOp2jsR8UJrClTpoRch36E0yka+9GJcnNzrZYtW1pt27a1unXrVmYCi36E0yka+9GWLVus77//vtTyr7/+OvD70fLly0usox/hbEQC6xxT3gl63bp1gZEaR48eLbX+V7/6lSXJWrp0aWBZfn5+IKv/v//9r1Sd3/3ud5Yka/z48caxr1ixwpJk1a9fv9RF4tVXXw38lfxkmzZtsiRZ7dq1M44BsKzo6EerVq2yJFm/+tWvSvWXstCPcCZFQz+qTAKLfoQzKRr60Ynuu+8+y2azWevWrbNSU1PLTGDRj3AmRVs/OtkjjzxiSbImTZpUYjn9CGcj5sBCwMaNGyVJl1xyiapVq1ZqfWpqqiRp6dKlgWVfffWVcnJy5Ha71bVr11J1evbsWapOZRXf3z1y5EjZ7SUP3fT0dElSWlpaqXodO3ZUs2bNlJGRUe596kA4REo/euaZZyRJ48ePL9VfykI/QqSIlH5UGfQjRIpI60cZGRmaPn26br31VnXv3r3csvQjRIpI60fBOBwOSZLL5SqxnH6EsxEJLARkZ2dLkmrUqBF0fc2aNSVJmzdvLlUnKSlJNputzDrffvutjh07VunYcnNztWTJEknSTTfdVGp9cUwXX3xx0PrFy0+MHTgdIqUfvfvuu5Kk3r17KyMjQ1OmTNFtt92mKVOmlDlhLv0IkSJS+lGxjRs3atKkSYE+VN4EvPQjRIpI6kd+v1+/+c1vlJSUpGnTpp2yPP0IkSKS+lEw3333XeCPln379i2xjn6Es5GzqgNA5Khdu7Ykaffu3UHXFy8/MUtfXOfgwYPKyclRXFxc0DrF/27Xrl2lYnv99dd17NgxtW/fXu3bty+1fs+ePZKkBg0aBK1fvLy4HHC6REI/2r9/vzIzM1WjRg0999xzuv/++0s8aebhhx/WTTfdpDlz5igmJiawnH6ESBEJ/ehE6enpgb9kS0V9KDU1Va+88orq1q1boiz9CJEikvrRk08+qfXr12vevHmBX97LQz9CpIikfiRJH374oZ555hn5fD7t27dP77//vrxerx555JFSIxvpRzgbMQILAT169JAkbdiwQV9++WWJdcePH9fChQslqcRfClq0aKH69evLsizNnz+/VJvPP/984N8mf2FYsGCBJOnmm28Ouv748eOSVOoCUSw+Pr5EOeB0iYR+lJWVFSj7xz/+USNHjtS2bduUlZWlhQsXKjk5WS+88IIeeOCBUvFJ9CNUvUjoR5JUr149TZ06VZ9++qmOHDmiH3/8UW+88YZSUlK0du1a9e/fXz6fr1R8Ev0IVS9S+tHevXt1//33q2fPnrrllltCqkM/QqSIlH5UbMeOHZo3b55eeOEFvfvuu/J6vXrooYf0u9/9rlRZ+hHORiSwENC6dWsNHTpUfr9f1157rVavXq3jx4/rs88+U//+/XXkyBFJKjGfjs1m0x//+EdJ0qRJkzR37lwdOnRIO3fu1N13360VK1bI6XSWqlcRBw8e1DvvvCO73a4bb7yx3LLBhulKkmVZldo2UFGR0I+Kf6H2er3q2rWr5s+fr1atWql69eoaOnSo5s6dK0maNWuWjh49Wqo+/QhVLRL6kST16dNHU6ZM0UUXXaTExETVrVtXAwcO1IYNG9SqVStt3LhRr7zyStC69CNUtUjpR3fddZfy8/P19NNPV/g90I9Q1SKlHxW76aabZFmW8vPztW3bNv3xj3/Un//8Z6Wmpgb+gHky+hHOKlU0eTyqiMp5yoZlWVZWVpbVs2dPS1KJV1xcnDVt2jRLklWvXr0Sdfx+v3XvvfdaNputVL3f//73VoMGDSxJ1rZt2yoV88yZMy1J1lVXXVVmmRo1aliSrM2bNwddf++991qSrFmzZlUqBuBEkd6Pdu/eHaj773//O2iZunXrWpKsd955J7CMfoQzKdL70an84x//sCRZt9xyS4nl9COcSZHejxYuXGhJsh544IFS68p7CiH9CGdSpPejU5kxY4Ylybr77rtLLKcf4WzEHFgooXr16nr33Xf19ttv691339WRI0fUpEkT3XjjjYFhs23bti1Rx2az6fHHH9eYMWP0+uuva+/evUpOTtbgwYPVpk0bTZ8+XR6PR82aNatUTMVPHww2eXuxRo0aKSsrS3v37g06R9bevXsD5YDTrar7Uf369eVyuVRQUKDGjRsHLdO4cWPt379fBw4cCCyjHyGSVHU/OpWWLVtKkn744YcSy+lHiCRV3Y+WLVsmSXrnnXf03nvvlVj32WefSZLuvPNOJSYm6u677w48LY1+hEhS1f3oVG666SZNmDBBS5cu1ezZswPL6Uc4G5HAQik2m019+/Yt9SSLWbNmSfrl0a8nCzbB+rJly+T3+9W9e/fAUNmK2L59uzZs2KC4uDgNGTKkzHIdOnTQ5s2btWnTJl1zzTWl1m/atCkQI3AmVGU/cjqdateunTZt2qRDhw4FLfPTTz9JkhISEgLL6EeINJF0PTpZ8a0aJ/YhiX6EyBMJ/aisp99K0qeffipJGjx4cGAZ/QiRJhL6UVlq1qwpu92ugwcPllhOP8LZiDmwEJJDhw5p3rx5crlcGjVqVMj1Hn/8cUnSb3/720ptt3j01XXXXVfql4QT9e/fX5ICEyme6NNPP9W3336rNm3aqGnTppWKAwiHM9mPBg0aJElavXp1qXW7du0KPC2nY8eOgeX0I0SDqroenWzRokWSpE6dOpVYTj9CNDhT/Wju3LmyLCvoKzU1VVLRU9Usy9K9994bqEc/QjSIlOvRunXr5Pf71bx58xLL6Uc4K1Xh7YuoAjrFPd7btm2zjhw5UmLZ/v37A/MUTJ06tVSd/fv3W7t37y6xLD8/3xo3bpwlybriiiuCbqt169ZW69atrb1795YZT7NmzSxJ1n//+9/y3pZVUFBgNW3a1JJkzZgxI7D8+PHjVteuXS1J1rPPPltuG0CooqEfHThwwEpMTLRcLpe1YsWKwPJjx45Zffv2tSRZ/fv3L1GHfoQzKRr60cyZM61jx46VWFZQUGBNnTrVkmTFxsaWqkM/wpkUDf2oLOXNgUU/wpkUDf1oypQp1g8//FCq/IYNG6wWLVpYkqy///3vJdbRj3A2IoF1lktPT7e6dOkSeEmybDZbiWXp6emB8lOmTLFiY2Otyy+/3BoxYoR19dVXW7GxsZYka/To0ZbP5yu1jdWrV1s2m83q1KmTlZaWZg0ePNiqU6eOJcnq2LGjlZmZGTQ2/TyR4c6dO4Ou/9///mdJss477zzL6/We8r3+73//C8TapUsX6/rrr7fq1atnSbIGDx4cNHYgFNHajxYvXmw5nU7Lbrdb3bp1swYPHmydd955liSradOmQX/JoB/hdInGflScpOrUqZM1ZMgQ65prrrHq169vSbI8Ho+1aNGioO3Rj3C6RGM/Kkt5CSzLoh/h9InGfiTJiomJsbp06WINHz7cuu6666yLLrooUP7666+3CgsLS7VHP8LZhgTWWe75558v9eSLk1/PP/98oPzatWuta6+91mrQoIHlcrmsmjVrWldffbW1ePHiMrexZ88ea/To0VbLli2tuLg4KyEhwerUqZP12GOPWfn5+WXWO9UXnTvuuMOSZI0fPz7k95uRkWENHTrUqlWrluV2u602bdpYf//730NKgAFlieZ+9PHHH1vXXnutVatWLcvlclnNmze3Jk6cWOYXJ8uiH+H0iMZ+9OCDD1pXXXWV1bBhQys2NtbyeDxWixYtrNtuu83aunVrue+XfoTTIRr7UVlOlcCyLPoRTo9o7EezZ8+2hgwZYjVr1syKj4+3XC6Xdf7551vXXnuttWTJknLfL/0IZxObZVmWAAAAAAAAgAjFJO4AAAAAAACIaCSwAAAAAAAAENFIYAEAAAAAACCikcACAAAAAABARCOBBQAAAAAAgIhGAgsAAAAAAAARjQQWAAAAAAAAIhoJLAAAAAAAAEQ0ElgAAAAAAACIaCSwAACoIJvNVuJlt9uVlJSkSy+9VI8//rgKCwuD1hs9erRsNpvWrFljHEPPnj1ls9m0a9cu47YqKj8/XzVq1JDNZlOfPn3O+PYj1dSpU2Wz2TR37tyqDqVMY8aMUbVq1ZSZmRlynXAetxX1ww8/KDY2VnfdddcZ3zYAAIgsJLAAAKikUaNGadSoURo5cqTat2+vDRs2aMKECerXr5+8Xm9Vh1dKuBIRy5Yt0+HDhyVJq1at0g8//GAeHE67L774QvPnz9ddd92l5OTkqg4nJPXq1dNvf/tb/etf/9K2bduqOhwAAFCFSGABAFBJc+fO1dy5c7VgwQKtW7dOH3zwgTwej1atWqWXX365VPm//vWv+uqrr9S5c+cqiDZ8FixYIKkoueDz+fSf//yniiOKDHfffbe++uorXXfddVUdSlB/+tOf5HA4NHHixKoOpUImT54sv9+vBx98sKpDAQAAVYgEFgAAYdKlSxeNHj1akvT222+XWl+vXj2lpKQoLi7uDEcWPj/99JOWL1+u+Ph4PfPMM5J+SWid65KTk5WSkqKkpKSqDqWU7777Tunp6erXr59q165d1eFUyPnnn68rrrhCS5Ys0f79+6s6HAAAUEVIYAEAEEZt27aVJB04cKDUuvJu4fv000/Vr18/JSUlKSkpSX369NGGDRs0d+5c2Ww2TZ06tcxtvv7667r00ksVHx+vmjVr6oYbbtDevXtLlLHZbJo3b54k6Yorrigxh1dF5tF6+eWXVVhYqMGDB2vAgAFq0KCBPvvsM23ZsiVo+cLCQj3zzDPq3LmzkpOTFRcXpyZNmmjAgAFBR6kVFhbqqaee0mWXXabq1asrLi5OrVq10m9+8xtlZGSUKv/+++/ruuuuU506deR2u9WkSRONGzdOBw8eLFX2xP3/3nvv6corr1S1atWUmJio/v3768svvyxVx7Isvfzyy+rRo4fOO+88eTweNWzYUL1799aTTz5Zomx5c2D99NNPmjRpklq2bCmPx6OaNWuqb9++WrFiRdD9ZrPZ1KRJE/l8Pk2bNk2tWrWS2+1Ww4YN9fvf/175+flB65Vlzpw58vv9GjlyZJllFi1apM6dOys2NlZ169bVLbfcon379pXb7sGDB/W73/1OrVu3lsfjUY0aNdSvXz+99957QctblqWnn35a7dq1k8fjUYMGDXTvvffq2LFj5c7rduONN6qwsDCi5xcDAACnFwksAADC6NixY5KkOnXqhFzngw8+0GWXXab//ve/at68ua655hr9+OOP6t69u9avX19u3aeeekpDhw6VZVnq27evEhIS9PLLL+vKK69Ubm5uoNyoUaPUvHlzSVKfPn0C83eNGjVKCQkJIcdaPNrqpptuks1m04033lhi+cluvvlm3X777dq5c6e6deumQYMGqWHDhlq3bp3++c9/liibnZ2tXr166a677tLnn3+ubt26aeDAgapevbrmzp2rhQsXlig/a9Ys9ejRQ8uWLVOLFi00aNAgxcbGavbs2erSpUuZc3MtW7ZMV155pQ4dOqQ+ffqoXr16euutt9SjRw/9+OOPJcr+8Y9/1A033KDPPvtMF198sYYMGaIWLVpo8+bNmj59ekj77Pvvv1fnzp3197//XQUFBRo8eLA6duyolStXqk+fPnr88cfLrDty5Eg9/PDDatCgga6++modO3ZM06ZN069//euQtl0sPT1dUtHk/8H84x//UFpamjZt2qRu3bqpZ8+eWrlypS699FL99NNPQets3bpVHTt21GOPPSafz6drrrlG7du317vvvqsrrrhCL730Uqk69957r+68805988036tWrly699FItWLBAvXr1UkFBQZnxF8f95ptvVuh9AwCAs4gFAAAqRJJV1iW0R48eliTrhRdeKLVu1KhRliRr9erVgWU+n89q1aqVJcmaNm1aifIPP/xwYFtTpkwpsS41NdWSZMXHx1urVq0KLM/Ozra6detmSbKee+65U26/IrZv325JsurWrWt5vV7Lsizriy++sCRZDRs2tPx+f4nyO3futCRZv/rVr6zc3NwS63JycqwPPvigxLJf//rXliTriiuusDIzM0us27t3r/XJJ58E/v/hhx9adrvdaty4sbV58+bAcr/fH9hvaWlpQd+/3W63XnrppcByr9drDR061JJkPfDAA4Hlubm5ltvttpo0aWL99NNPJdoqLCy01q5dW2LZlClTLEnW888/X2L5gAEDLEnWzTffbBUUFASWr1u3zoqLi7McDkeJ92BZvxxjF1xwgbVz587A8m+//daqUaOGJcn65ptvrFAcO3bMcjqdVqNGjYKu37lzp+V2uy23213i2MjOzrauuuqqQCwnrvN6vVa7du0sSdbMmTNLfPabNm2yatWqZcXHx1v79+8v8X4lWcnJydaXX34ZWH7o0CGrU6dOge2c+H5PlJycbLndbisvLy+k9w0AAM4ujMACAMCQ3+/Xjh07dMcdd+i9997ToEGDNHz48JDqvvvuu9q+fbtSUlL0u9/9rsS6++67T02bNi23/vjx43XllVcG/h8XFxeYpLus27gqq3iU1YgRI+RwOCRJ7dq1U/v27fXdd9+VujWy+DbKbt26yePxlFgXGxurrl27Bv7/ww8/aO7cuYqNjdX8+fNVq1atEuXPP/98derUKfD/v/3tb/L7/frXv/6l9u3bB5bbbDb96U9/UseOHbV48WJlZmaWeh833nijbrjhhsD/HQ6H7rvvPkkl99nRo0eVn5+vDh06qGbNmiXacDqd6tGjRxl76hfffvut0tPTlZiYqFmzZikmJiawrnv37rr99tvl8/n01FNPBa0/e/ZsNWnSJPD/pk2b6qabbpIkrVu37pTbl6Qvv/xSXq9XrVu3Drp+zpw5ys/P1y233FJihFZcXJxmz54tm81Wqs6yZcuUkZGhG264QePGjStRpmPHjnrggQeUnZ2tF154IbC8eMTdxIkTdcEFFwSW16hRI6TRbK1bt1Z+fj5PIwQA4BxFAgsAgEoqnkPK4XCoRYsW+uc//6lf//rXWrJkiZxOZ0htfPDBB5KktLS0UokCh8OhIUOGlFv/6quvLrWsVatWklTmLXSV9eKLL0oqui3wRMX/PzFZIUkpKSmKj4/X888/r3//+99l3oomSatXrw7chtagQYNy4/D7/Vq1apWqVaumXr16lVpvs9l02WWXye/3a+PGjaXWh7rP6tSpowYNGujNN9/U9OnTTzkfVDDvv/++JOmaa65R9erVS60v3nfBklExMTFBb/mr6OdbnEisUaNGuTFef/31pda1bt1aHTt2LLX8nXfekSQNHjw4aJvdu3eXJG3YsCGwrPhYHzZsWKnyV1xxRamk5cmKk4jB5jcDAABnPxJYAABUUvEcUsOHDw+Mbnnuuef0/PPPh9xGcVKkYcOGQdc3atSo3PrBkj3Fc1pVdKLv8rz//vv69ttvlZKSUmIklFQ0oslut2vhwoXKy8sLLE9MTNS///1v+f1+/fa3v1Xt2rV1wQUX6M477yw1t9d3330nSYF5usrz008/6fjx4zp27JicTmeJCemLX//4xz8kKegIrIrss3nz5qlGjRqaPHmyzj//fDVr1kyjR48uc/L1kxV/vieOojpR8fJgybF69eoFRrqFEmtZjhw5IkmqVq1auTGWdawFW1480frw4cOD7v9LLrlEUsn9v2/fPtlstjITlKc61hMTE0u8HwAAcG4J7c/DAACglJOfiDZt2jT9/ve/1//7f/9PvXv3VuPGjUNuK9htWlLRU9sqUy/cim8fPHToUGB0zYliYmJ09OhRvfHGGyVG8txwww3q3bu3li5dqhUrVmjt2rV6+umn9fTTT2vSpEmaNm1aiXZCeT8+n09SUULmVCPUgn0GFdlnV155pb755hulp6frv//9r9auXat58+Zp3rx5uv766/XKK6+E1E5Z2yxeHmx9uD7bpKQkSUW3RAZTfIxVZHvFn0G/fv3KfWBBSkpKyG2e6lgvTlwVvx8AAHBuIYEFAECYTJ48WatWrdKKFSv00EMPac6cOaesU69ePUnSnj17gq4vHplUlfLz8/Xaa69JKrodrfiWtGAWLFhQ6la02rVra+zYsRo7dqwsy9Lbb7+t4cOHa/r06Ro9erTatGkTGIH2zTffnDKe5ORkud1uxcTElEoing6JiYm68cYbA09cXL9+vYYNG6ZXX31Vo0ePVr9+/cqsW79+fUnSzp07g64vHslUfBycDsUJpkOHDgVdX79+fW3fvl27d+9Wy5YtS60PdmwWj6K6/fbbNWjQoJDiqFevnnbt2qW9e/cGHWm3d+/ecutnZWVJKjqeAADAuYdbCAEACKP/+7//k81m04IFC7R79+5Tlu/WrZskadGiRaVGoPj9fi1ZsiRssblcLkmS1+utUL309HRlZWXpV7/6lSzLCvo6evSoPB6P3n777aC37RWz2Wzq27ev+vfvL0nKyMiQJPXs2VMOh0NvvfWWvv/++3LjcTqd6tmzpw4dOhT2iepDcemllwbmrvriiy/KLVs8Wu3NN9/U4cOHS60vnjfs8ssvD2+QJ2jbtq2cTqe2bt1abozFScoTbd++XZ999lmp5b1795Ykvf766yHHUXysL1y4sNS6NWvWlHvcSNLWrVvl8XjKnIweAACc3UhgAQAQRhdddJGuvfZaeb3eUrfHBXPllVeqRYsW+uqrr/T444+XWPe3v/1N3377bdhiKx4NVNGnuBXfPnjik/tOVq1aNV1zzTUqLCzUyy+/LEn69NNPtXjxYhUWFpYom5WVpY8++kjSL/Me1a9fX7fccotyc3M1evToUqOF9u3bp02bNgX+f99998lut2vUqFGBSchPLv/kk09W6H2ebM+ePZo7d65ycnJKLM/Pz9fq1atLxF+WZs2aqX///jp27JjuueeeEvviww8/1NNPPy2Hw6E777zTKNbyxMfHq2PHjvr++++DzrU1ZswYuVwuzZ8/v8Rk8rm5ubrnnnvk9/tL1UlLS1NKSormzp2r//u//yv1GRcUFGjx4sUlEny//e1vJUmPPfZYiWPw8OHDmjx5crnvYceOHfrpp5/UuXNnud3u0N44AAA4q5DAAgAgzKZOnSqbzaY5c+boxx9/LLesw+HQ888/L4/Ho4kTJ6pTp0668cYbddFFF+mhhx7Sb37zG0m/jJ4yMXDgQNlsNk2cOFGDBw8O3NZX3tMBDx06pOXLl8tutwd9St2JRowYIemXUUW7d+/W0KFDVbt2bfXu3Vs33XSTBgwYoCZNmujbb7/Vddddp0svvTRQf+bMmeratatWrlypJk2aqH///ho+fLi6dOmixo0b64033giU7dGjh2bOnKnvvvtOl19+uTp06KC0tDQNGDBAF154oRo1aqT777/fZHfp0KFDGjNmjGrXrq3U1FSNHDlSgwcPVsOGDbV+/Xp17tz5lHNwSdIzzzyjpk2bav78+WrZsmVgXrDLL79c2dnZmjZtmtq3b28U66kUj3grTrydqFmzZvq///s/5eXl6YorrlDv3r01YsQItWjRQhkZGRowYECpOk6nU0uWLFHDhg31hz/8QY0bN1bfvn11/fXXq2vXrqpbt66GDh2qHTt2BOqkpqbqrrvu0sGDB3XRRRdpwIABGjZsmFq0aCG/3x84FoId62vWrJFU9DRHAABwbiKBBQBAmHXo0EHXXXed8vLyNGPGjFOW7969u95//3316dNHX3/9tdLT05WcnKy1a9cGJiGvVauWcVydOnXSCy+8oLZt22rFihV67rnn9Nxzz+nYsWNl1nn55ZdVUFCgyy+/XOeff3657Q8YMEDVqlXTRx99pO3bt+vSSy/VI488ok6dOmnbtm167bXX9Mknn6h9+/aaN2+eXn311RL1q1WrptWrV+vxxx9X69attXbtWqWnp+vw4cO69dZbNWzYsBLl7777bn300UcaOXKksrKy9MYbb+jDDz+U3W7X7bffrqVLl1Z+Z6noiYh///vf1bNnT+3Zs0eLFy/W//73PzVp0kSzZs3SmjVrQkosnn/++dqwYYMmTpwop9OpxYsXa+PGjerVq5fefvttTZgwwSjOUNx6661yOBx66aWXgq6/99579eqrr+qiiy7S+++/r1WrVqlnz55av359mcdeSkqKPvvsM02dOlV16tTR+++/rzfffFMHDx5Ujx499PzzzwduNSw2e/ZszZ49W02bNtU777yjDz74QCNGjNC7776rzMxM2Ww21ahRo9S2XnrpJcXExGj06NHG+wIAAEQnm3WqR74AAIAq069fP/33v//V+vXr1aVLl6oOB1HsuuuuU3p6uvbu3au6detWdTglfP/992rSpEngdtoT7d27V40bN1ZaWlrIT30EAABnH0ZgAQBQxQ4dOlRqwnfLsjR79mz997//VYsWLdS5c+cqig5niz//+c/y+/167LHHqiyGrVu3Kjc3t8SygwcPasyYMfJ6vYEnPZ5o+vTpstvtevjhh89UmAAAIAIxAgsAgCq2fv16devWTe3bt1ezZs3k8/mUkZGhb7/9VrGxsXrrrbfUs2fPqg4TZ4Fbb71Vr776qnbt2qXk5OQzvv3bb79dL730kjp27Kh69epp//792rRpk44ePaqLL75Y77//vmJjYwPlf/jhBzVr1kxjxozRU089dcbjBQAAkYMEFgAAVezAgQOaOnWqVq9erX379ik3N1d16tRRamqq/vCHP+jCCy+s6hCBsFixYoX+8Y9/aNOmTcrMzJTD4VDz5s01dOhQTZw4UQkJCVUdIgAAiFAksAAAAAAAABDRmAMLAAAAAAAAEY0EFgAAAAAAACIaCSwAAAAAAABENBJYAAAAAAAAiGgksAAAAAAAABDRSGABAAAAAAAgopHAAgAAAAAAQEQjgQUAAAAAAICIRgILAAAAAAAAEY0EFgAAAAAAACIaCSwAAAAAAABENBJYAAAAAAAAiGgksAAAAAAAABDRSGABAAAAAAAgopHAAgAAAAAAQEQjgQUAAAAAAICIRgILAAAAAAAAEY0EFgAAAAAAACIaCSwAAAAAAABENBJYAAAAAAAAiGgksAAAAAAAABDRSGABAAAAAAAgopHAAgAAAAAAQEQjgQUAAAAAAICIRgILAAAAAAAAEY0EFgAAAAAAACIaCSwAAAAAAABENBJYAAAAAAAAiGgksAAAAAAAABDRSGABAAAAAAAgopHAAgAAAAAAQEQjgQUAAAAAAICIRgILAAAAAAAAEY0EFgAAAAAAACIaCSwAAAAAAABENBJYAAAAAAAAiGgksAAAAAAAABDRSGABAAAAAAAgopHAAgAAAAAAQEQjgQUAAAAAAICIRgILAAAAAAAAEY0EFgAAAAAAACIaCSwAAAAAAABENBJYAAAAAAAAiGgksAAAAAAAABDRSGABAAAAAAAgopHAAgAAAAAAQEQjgQUAAAAAAICI9v8BOSqzw0DMWN8AAAAASUVORK5CYII=",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ks_dir = artifacts_dir / \"kaiser_squires\"\n",
    "baseline_e_png = ks_dir / f\"{base_name}_kaiser_squires_e_mode.png\"\n",
    "baseline_b_png = ks_dir / f\"{base_name}_kaiser_squires_b_mode.png\"\n",
    "\n",
    "print(\"Baseline SMPy plot outputs:\")\n",
    "print(\"-\", baseline_e_png)\n",
    "print(\"-\", baseline_b_png)\n",
    "\n",
    "if baseline_e_png.exists() and baseline_b_png.exists():\n",
    "    display(Image(filename=str(baseline_e_png)))\n",
    "    display(Image(filename=str(baseline_b_png)))\n",
    "else:\n",
    "    print(\"Expected PNG outputs were not found. Re-run the previous cell.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ks03_10",
   "metadata": {},
   "source": [
    "### Interpretation (Baseline)\n",
    "\n",
    "- The E-mode map is your primary mass-reconstruction product.\n",
    "- The B-mode should generally be weaker and less spatially coherent than E-mode.\n",
    "- A B-mode of similar strength/structure to E-mode is a warning sign to investigate systematics.\n",
    "\n",
    "For parameter studies, the next section uses the Config API to run a controlled smoothing sweep.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "ks03_11",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Convergence map saved as PNG file: /Users/vassig/research/SMPy/examples/outputs/tutorials/kaiser_squires/tutorial03_ks_sigma1p0_kaiser_squires_e_mode.png\n",
      "Convergence map saved as PNG file: /Users/vassig/research/SMPy/examples/outputs/tutorials/kaiser_squires/tutorial03_ks_sigma1p0_kaiser_squires_b_mode.png\n",
      "Convergence map saved as PNG file: /Users/vassig/research/SMPy/examples/outputs/tutorials/kaiser_squires/tutorial03_ks_sigma2p0_kaiser_squires_e_mode.png\n",
      "Convergence map saved as PNG file: /Users/vassig/research/SMPy/examples/outputs/tutorials/kaiser_squires/tutorial03_ks_sigma2p0_kaiser_squires_b_mode.png\n",
      "Convergence map saved as PNG file: /Users/vassig/research/SMPy/examples/outputs/tutorials/kaiser_squires/tutorial03_ks_sigma4p0_kaiser_squires_e_mode.png\n",
      "Convergence map saved as PNG file: /Users/vassig/research/SMPy/examples/outputs/tutorials/kaiser_squires/tutorial03_ks_sigma4p0_kaiser_squires_b_mode.png\n",
      "Saved summary table: /Users/vassig/research/SMPy/examples/outputs/tutorials/ks_smoothing_summary.csv\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>smoothing_sigma</th>\n",
       "      <th>E_std</th>\n",
       "      <th>B_std</th>\n",
       "      <th>E_max_abs</th>\n",
       "      <th>B_max_abs</th>\n",
       "      <th>B_to_E_std_ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.079732</td>\n",
       "      <td>0.079208</td>\n",
       "      <td>0.339032</td>\n",
       "      <td>0.287085</td>\n",
       "      <td>0.993431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2.0</td>\n",
       "      <td>0.042876</td>\n",
       "      <td>0.038689</td>\n",
       "      <td>0.165443</td>\n",
       "      <td>0.116255</td>\n",
       "      <td>0.902358</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.0</td>\n",
       "      <td>0.021592</td>\n",
       "      <td>0.016111</td>\n",
       "      <td>0.069374</td>\n",
       "      <td>0.061914</td>\n",
       "      <td>0.746153</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   smoothing_sigma     E_std     B_std  E_max_abs  B_max_abs  B_to_E_std_ratio\n",
       "0              1.0  0.079732  0.079208   0.339032   0.287085          0.993431\n",
       "1              2.0  0.042876  0.038689   0.165443   0.116255          0.902358\n",
       "2              4.0  0.021592  0.016111   0.069374   0.061914          0.746153"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "smoothing_values = [1.0, 2.0, 4.0]\n",
    "rows = []\n",
    "run_records = []\n",
    "\n",
    "for sigma in smoothing_values:\n",
    "    sigma_tag = str(sigma).replace(\".\", \"p\")\n",
    "    run_name = f\"tutorial03_ks_sigma{sigma_tag}\"\n",
    "\n",
    "    cfg = Config.from_defaults(\"kaiser_squires\")\n",
    "    cfg.update_from_kwargs(\n",
    "        data=str(data_file),\n",
    "        coord_system=\"radec\",\n",
    "        pixel_scale=0.4,\n",
    "        smoothing=sigma,\n",
    "        g1_col=\"g1_Rinv\",\n",
    "        g2_col=\"g2_Rinv\",\n",
    "        weight_col=\"weight\",\n",
    "        mode=[\"E\", \"B\"],\n",
    "        save_plots=True,\n",
    "        save_fits=False,\n",
    "        output_dir=str(artifacts_dir),\n",
    "        output_base_name=run_name,\n",
    "    )\n",
    "\n",
    "    cfg.validate()\n",
    "    res = run(cfg)\n",
    "\n",
    "    e_map = res[\"maps\"][\"E\"]\n",
    "    b_map = res[\"maps\"][\"B\"]\n",
    "\n",
    "    rows.append(\n",
    "        {\n",
    "            \"smoothing_sigma\": sigma,\n",
    "            \"E_std\": float(np.nanstd(e_map)),\n",
    "            \"B_std\": float(np.nanstd(b_map)),\n",
    "            \"E_max_abs\": float(np.nanmax(np.abs(e_map))),\n",
    "            \"B_max_abs\": float(np.nanmax(np.abs(b_map))),\n",
    "            \"B_to_E_std_ratio\": float(np.nanstd(b_map) / np.nanstd(e_map)),\n",
    "        }\n",
    "    )\n",
    "\n",
    "    run_records.append(\n",
    "        {\n",
    "            \"sigma\": sigma,\n",
    "            \"run_name\": run_name,\n",
    "            \"e_png\": ks_dir / f\"{run_name}_kaiser_squires_e_mode.png\",\n",
    "            \"b_png\": ks_dir / f\"{run_name}_kaiser_squires_b_mode.png\",\n",
    "        }\n",
    "    )\n",
    "\n",
    "summary = pd.DataFrame(rows).sort_values(\"smoothing_sigma\")\n",
    "summary_path = artifacts_dir / \"ks_smoothing_summary.csv\"\n",
    "summary.to_csv(summary_path, index=False)\n",
    "\n",
    "print(f\"Saved summary table: {summary_path}\")\n",
    "summary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "ks03_12",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "E-mode outputs across smoothing values:\n",
      "sigma=1.0: /Users/vassig/research/SMPy/examples/outputs/tutorials/kaiser_squires/tutorial03_ks_sigma1p0_kaiser_squires_e_mode.png\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sigma=2.0: /Users/vassig/research/SMPy/examples/outputs/tutorials/kaiser_squires/tutorial03_ks_sigma2p0_kaiser_squires_e_mode.png\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sigma=4.0: /Users/vassig/research/SMPy/examples/outputs/tutorials/kaiser_squires/tutorial03_ks_sigma4p0_kaiser_squires_e_mode.png\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"E-mode outputs across smoothing values:\")\n",
    "for record in run_records:\n",
    "    print(f\"sigma={record['sigma']}: {record['e_png']}\")\n",
    "    if record[\"e_png\"].exists():\n",
    "        display(Image(filename=str(record[\"e_png\"])))\n",
    "    else:\n",
    "        print(\"  Missing file; rerun smoothing cell above.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ks03_14",
   "metadata": {},
   "source": [
    "## References\n",
    "\n",
    "- Kaiser, N. & Squires, G. (1993), *The Astrophysical Journal*, **404**, 441-450. DOI: [10.1086/172297](https://doi.org/10.1086/172297)\n",
    "- ADS entry: [1993ApJ...404..441K](https://ui.adsabs.harvard.edu/abs/1993ApJ...404..441K/abstract)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "name": "python",
   "version": "3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}