{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "86236724",
   "metadata": {},
   "source": [
    "**Author:** Dr. Mallarapu  \n",
    "**Created:** 2026-07-27  \n",
    "**Course:** SEAS 8414 \u2014 Security Analytics\n",
    "\n",
    "---\n",
    "\n",
    "### Goal of this notebook\n",
    "\n",
    "Train and audit detectors on HAI cyber-physical ICS signals, reporting recall for each attacked process stage.\n",
    "\n",
    "### What you will learn\n",
    "\n",
    "1. Read a majority-class baseline before trusting any accuracy figure.\n",
    "2. Find the strongest single feature, then test it by dropping it and refitting.\n",
    "3. Tell duplicate inflation apart from genuine signal.\n",
    "4. Report per-group recall, because the rare classes carry the risk.\n",
    "5. Assign a multi-stage label by counting flags, not by priority order.\n",
    "\n",
    "### Where this connects to the course text\n",
    "\n",
    "The text builds a defence pipeline; this notebook trains a classifier and audits it. The links below are to specific chapter objectives that share an *analytic move*, not to matching subject matter.\n",
    "\n",
    "- **Chapter 6: Digital Twins for Remediation Simulation** \u2014 Learning objective 2 (section 6.1) treats fidelity as a **promotion gate**. An in-distribution score is not a deployment estimate, which is the gate this notebook refuses to pass.\n",
    "- **Chapter 11: Formal Protocol Verification** \u2014 Section **11.1.2**, titled *Proved, tested, and hoped*, asks you to separate exactly those three. (Chapter 11 lists its objectives in \u00a711.0, not \u00a711.1 as the other chapters do.) The ablation does that job here: it tests whether the headline survives.\n",
    "- **Chapter 12: Autonomous Remediation and Safety Verification** \u2014 Learning objective 1 (section 12.1) assembles evidence into a **safety case** with stated assumptions. Section 13 is that safety case for a model score.\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3db7c90e",
   "metadata": {},
   "source": [
    "# Cyber-Physical Intrusion Detection on the HAI ICS Testbed\n",
    "### Model comparison + per-stage recall + validity audit (1.32M process-sensor samples)\n",
    "\n",
    "**Abstract:** HAI is a **cyber-physical** ICS security dataset. The testbed is hardware-in-the-loop: a GE gas turbine, an Emerson boiler and a FESTO water-treatment process. It logs process signals once a second, each second labelled normal or attack. Shin et al. (2020) document the testbed and the first, narrower release, HAI 1.0. This notebook loads the later and wider **hai-21.03** release, documented by Shin et al. (2021). The loader prints 1,323,608 one-second samples and keeps the 60 signals that vary. We compare four learners and report recall per attacked **process stage**. This is operational-technology (OT) process telemetry \u2014 distinct from every network, host and log corpus in this series."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e27a2061",
   "metadata": {},
   "source": [
    "## 1. Research problem\n",
    "\n",
    "**Task:** Flag a one-second ICS snapshot as normal or under-attack from physical process signals (pressures, flows, valve positions, temperatures). Attacks are rare (<1%) and manipulate the physical process, so a point-in-time classifier is only a first line. The honest challenge is catching subtle stage-specific manipulations without false alarms that would trip a running plant."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e56bf1f9",
   "metadata": {},
   "source": [
    "## 2. Literature review\n",
    "\n",
    "- **Shin, Lee, Yun & Kim (2020)** \u2014 *HAI 1.0: HIL-based Augmented ICS Security Dataset* (USENIX CSET '20): the testbed, and the first and narrower release. Not the release loaded here.\n",
    "- **Shin, Lee, Yun & Min (2021)** \u2014 *Two ICS Security Datasets and Anomaly Detection Contest on the HIL-based Augmented ICS Testbed* (CSET '21, ACM). Documents **hai-21.03**, the release this notebook loads. It widens HAI 1.0 by adding data points and normal/attack scenarios.\n",
    "- **Goh et al. (2016)** \u2014 the SWaT water-treatment testbed dataset.\n",
    "- **Kravchik & Shabtai (2018)** \u2014 1-D CNN anomaly detection on SWaT process data. It predicts the next reading, then scores the deviation of observed from predicted. That is the sequence approach this notebook flags but does not run.\n",
    "- **Sommer & Paxson (2010)** \u2014 the closed-world ML critique.\n",
    "\n",
    "**Related approaches and their known caveats** \u2014 drawn from the wider literature; these are **not** measurements reproduced on this exact corpus:\n",
    "\n",
    "| Reported approach | Known caveat |\n",
    "|---|---|\n",
    "| HAICon 2020 baselines \u2014 time-series anomaly detectors | designed for point-adjusted anomaly scoring, not per-second classification |\n",
    "| Point-in-time classifiers on ICS snapshots (our setting) | ignore temporal dynamics; attacks are <1% so accuracy is inflated |"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d35c9cc9",
   "metadata": {},
   "source": [
    "## 3. Dataset provenance & honesty caveats\n",
    "\n",
    "| Property | Value |\n",
    "|---|---|\n",
    "| Source | Kaggle `icsdataset/hai-security-dataset` (hai-21.03 release) |\n",
    "| Rows | 1,323,608 one-second samples (train normal + test labelled) |\n",
    "| Label | `attack` 0/1 (~0.68%); family = attacked stage. Rows with **more than one** stage flag set are `stage_multi`; the small `stage_unflagged` group is marked as an attack by the global `attack` column while carrying no per-stage flag |\n",
    "| Access | Kaggle API token required |\n",
    "\n",
    "**Honestly:** attacks are <1%, so accuracy is meaningless \u2014 per-stage recall and the false-positive rate are the honest metrics. We treat each second independently, which **ignores the temporal dynamics** that ICS anomaly detectors exploit. A sequence/residual model is the stronger approach we flag but do not run. The per-stage attack flags are label-derived and dropped from the features.\n",
    "\n",
    "### Before you run this: getting the data\n",
    "\n",
    "This notebook downloads its own data on the first run, then caches it. You do not fetch anything by hand.\n",
    "\n",
    "**Dataset:** Kaggle `icsdataset/hai-security-dataset` -> `/tmp/kg_hai`. It is about **3 GB** on disk.\n",
    "\n",
    "**One-time setup.** Sign in at kaggle.com, open **Settings**, and under **API** choose **Create New Token**. Kaggle hands you a `kaggle.json` file. This notebook does *not* read that file. It reads a plain key file, so convert it once:\n",
    "\n",
    "```bash\n",
    "mkdir -p ~/.kaggle\n",
    "python3 -c \"import json;print(json.load(open('kaggle.json'))['key'],end='')\" > ~/.kaggle/access_token\n",
    "chmod 600 ~/.kaggle/access_token\n",
    "```\n",
    "\n",
    "Never paste the token into a cell, a commit, or a screenshot. If it leaks, revoke it from the same Settings page.\n",
    "\n",
    "**If the loader fails:**\n",
    "\n",
    "- `FileNotFoundError: ~/.kaggle/access_token` - you created `kaggle.json` but not the key file. Run the command above.\n",
    "- `401 Unauthorized` - the key is wrong, or a trailing newline crept in.\n",
    "- `403 Forbidden` - open the dataset page on Kaggle while signed in, accept its terms, then re-run the cell.\n",
    "\n",
    "The cache sits under `/tmp`, which macOS clears on reboot. To keep it, move the folder somewhere durable and symlink it back. Do **not** edit the path in the code cell below: that changes a code cell and invalidates the stored outputs you are reviewing."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "89700675",
   "metadata": {},
   "source": [
    "## 4. Solution design\n",
    "\n",
    "The methodology is deliberately two-track. We *earn* a headline score with standard modelling, then *interrogate* it with a validity audit. Only a verdict that survives both is reported. The diagram below is the shape of every notebook in this series."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2d7fb3ed",
   "metadata": {},
   "source": [
    "**Figure 4.1 \u2014 Solution design (methodology).**\n",
    "\n",
    "<img 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\" style=\"max-width:100%;height:auto;\" alt=\"Figure 4.1 \u2014 Solution design (methodology).\"/>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7f23734b",
   "metadata": {},
   "source": [
    "## 5. Implementation architecture\n",
    "\n",
    "Five stages \u2014 ingestion, preprocessing, modelling, evaluation, and a parallel validity-audit path \u2014 feed a single graded results ledger. Leakage defences (dropping label-derived and identifier columns) live in preprocessing, before any model sees the data."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ed2b2ac9",
   "metadata": {},
   "source": [
    "**Figure 5.1 \u2014 Implementation architecture.**\n",
    "\n",
    "<img 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\" style=\"max-width:100%;height:auto;\" alt=\"Figure 5.1 \u2014 Implementation architecture.\"/>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "889b6975",
   "metadata": {},
   "source": [
    "## 6. Data acquisition & preparation\n",
    "\n",
    "Every line below is commented so a student can re-run and modify each step. The cell ends by producing the standard analysis variables: `df`, `X` (clean numeric features), `y` (binary label), `feat` (feature names), and `family`. `family` is the per-group label used for the recall breakdown. It is an attack family on the intrusion corpora, but a transaction type, merchant category or malware category on the fraud/malware ones.\n",
    "\n",
    "**Correction to the comment in the code cell below:** it credits the signal count to Shin et al. (2020). That count belongs to **hai-21.03**, documented by Shin et al. (2021). Shin et al. (2020) documents HAI 1.0, an earlier and narrower release this loader never reads. The comment is left exactly as it ran, because every output below came from that cell.\n",
    "\n",
    "**Count the signals yourself rather than trusting prose:** the comment's count matches the header of the shipped CSV. The release paper and the vendor's technical-details PDF both state one fewer data point. So the count is not the error here \u2014 the credit to Shin et al. (2020) is. One line settles it once the cell below has run: `pd.read_csv(files[0], nrows=0).columns`. The first column is `time`, the last four are labels, and everything between is a process signal. The loader then drops the signals that never change, and prints the count it keeps."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9a1232e4",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import time, warnings; warnings.filterwarnings('ignore')   # keep output clean\n",
    "import numpy as np, pandas as pd                            # numerics + dataframes\n",
    "import matplotlib.pyplot as plt                             # static plots (embed in HTML+PDF)\n",
    "plt.rcParams['figure.dpi'] = 120                            # crisp figures\n",
    "RANDOM_STATE = 0                                            # single seed used everywhere\n",
    "np.random.seed(RANDOM_STATE)                                # reproducible sampling\n",
    "NEG_WORD, POS_WORD = 'benign', 'attack'                      # class names (overridden by some loaders)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "bafb6a1f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "per-stage family counts: {'stage_P1': 6158, 'stage_P2': 1110, 'stage_multi': 1091, 'stage_P3': 409, 'stage_unflagged': 179}\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "loaded 1,323,608 ICS samples x 60 sensor/actuator features; attack rate 0.0068; families ['normal', 'stage_P1', 'stage_P2', 'stage_P3', 'stage_multi', 'stage_unflagged']\n"
     ]
    }
   ],
   "source": [
    "import os, glob\n",
    "# HAI (Shin et al., 2020): a HIL-based Augmented ICS testbed (GE turbine + Emerson boiler + FESTO\n",
    "# water-treatment) \u2014 79 process sensor/actuator readings per second, labelled normal vs attack. This\n",
    "# is CYBER-PHYSICAL (operational-technology) data, a new modality. We use the clean comma-delimited\n",
    "# hai-21.03 release (train = attack-free, test = labelled attacks). Self-contained Kaggle download.\n",
    "os.environ.setdefault('KAGGLE_KEY', open(os.path.expanduser('~/.kaggle/access_token')).read().strip())\n",
    "DEST = '/tmp/kg_hai'; os.makedirs(DEST, exist_ok=True)\n",
    "if not glob.glob(DEST + '/**/hai-21.03/*.csv', recursive=True):\n",
    "    import kaggle; kaggle.api.authenticate()\n",
    "    print('downloading HAI ICS dataset (one-time)...')\n",
    "    kaggle.api.dataset_download_files('icsdataset/hai-security-dataset', path=DEST, unzip=True, quiet=True)\n",
    "files = sorted(glob.glob(DEST + '/**/hai-21.03/*.csv', recursive=True))   # ONE consistent schema/version\n",
    "assert files, 'hai-21.03 files not found'\n",
    "df = pd.concat([pd.read_csv(f, low_memory=False) for f in files], ignore_index=True)\n",
    "df.columns = [str(c).strip() for c in df.columns]\n",
    "assert len(df) >= 1_000_000, f'floor not met: {len(df):,}'\n",
    "for c in ['attack', 'attack_P1', 'attack_P2', 'attack_P3']:\n",
    "    df[c] = pd.to_numeric(df[c], errors='coerce').fillna(0).astype(int)\n",
    "df['y'] = (df['attack'] != 0).astype(int)\n",
    "# family = which process stage was under attack (from the per-stage flags), 'normal' otherwise \u2014\n",
    "# gives per-stage recall. The attack_P* flags are LABEL-derived, so they are dropped from features.\n",
    "# COUNT the set flags first: a priority chain (test P1, then P2, then P3) would file a genuinely\n",
    "# multi-stage attack under whichever stage it happened to test first, leaving 'stage_multi' to\n",
    "# capture only rows with NO flag set \u2014 the exact opposite of what that label should mean.\n",
    "_nflags = df[['attack_P1', 'attack_P2', 'attack_P3']].sum(axis=1)\n",
    "_single = np.select([df['attack_P1'] == 1, df['attack_P2'] == 1, df['attack_P3'] == 1],\n",
    "                    ['stage_P1', 'stage_P2', 'stage_P3'], default='stage_unflagged')\n",
    "df['family'] = np.where(df['y'] == 0, 'normal',\n",
    "                        np.where(_nflags > 1, 'stage_multi', _single))\n",
    "print('per-stage family counts:', df.loc[df.y == 1, 'family'].value_counts().to_dict())\n",
    "DROP = ['time', 'attack', 'attack_P1', 'attack_P2', 'attack_P3', 'y', 'family']\n",
    "feat = [c for c in df.columns if c not in DROP]\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "X = df[feat].copy()\n",
    "idlike = [c for c in X.select_dtypes(include='object').columns if X[c].nunique() > 0.5*len(X)]\n",
    "X = X.drop(columns=idlike)                                     # drop id/timestamp-like leaky columns\n",
    "for c in X.select_dtypes(include='object').columns:\n",
    "    X[c] = LabelEncoder().fit_transform(X[c].astype(str))\n",
    "X = X.apply(pd.to_numeric, errors='coerce').replace([np.inf,-np.inf],np.nan).fillna(0.0)\n",
    "X = X.clip(-1e15, 1e15); X = X.loc[:, X.nunique() > 1]         # float32-safe; drop constants\n",
    "import re\n",
    "_seen, _cols = {}, []\n",
    "for _c in X.columns:                                           # unique LightGBM-safe names\n",
    "    _c = re.sub(r'[^0-9A-Za-z_]+', '_', str(_c)).strip('_') or 'f'\n",
    "    _seen[_c] = _seen.get(_c, -1) + 1\n",
    "    _cols.append(_c if _seen[_c] == 0 else f'{_c}_{_seen[_c]}')\n",
    "X.columns = _cols; feat = list(X.columns)\n",
    "y = df['y'].to_numpy(); family = df['family'].to_numpy()\n",
    "print(f'loaded {len(df):,} ICS samples x {len(feat)} sensor/actuator features; attack rate {y.mean():.4f}; families {sorted(set(family))}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b9dae60d",
   "metadata": {},
   "source": [
    "## 7. Exploratory data analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "18eb3949",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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L+bYj2AiE8QGvq4zjx4/3Hn30UW/o0KFJFq0DEH30pejDDz9Mcfudd97p5ciR45SeEwCcKsrGyJkzZ5IvzjJixAj3hXTDhg0x82SkFmwsVaqU17lz52Trzz77bO+SSy5J/HvChAnuGCtXrkyy36uvvurWB2arpPeY2U29evXc4qPt0q9du3YumEHbpc8XX3zh/v/66aefkgUb9X+aMsQCM85EAfKCBQt6t956a9j/D4ZzzOwQbNy/f7/377//JtuHtgtNGYVqu1WrVrm/Dxw4kCzoGEttR81GIB2+//57VzOlffv2rvaBavckJCQkWwBEnxtvvNE6duxon376abKaWzfccINNmjTJJkyYkGnnBwAn048//mhnn322FSpUKMn6Bg0auJ9Lly6N+Sdg8+bN9ueff1r9+vWTtYXaSW0Y2J6qX1izZs2Q7envG84xsxONrNu+fburQSi0Xer+/vtv27lzp61Zs8bGjBljH374oV1yySW0XTocO3bMevfubbfddpudc845ybYvX77cjh49muw9ljt3bqtTp06y9216/h8M55hZ3c033+wer+rKNm/e3H0f9tF2oX3yySeuzfT/WvXq1V2tXf3ds2dPO3z4cMy1HcFGIB3uuusuO3TokM2aNct2797tggzBiz7QAESfF1980RVpv/LKK+3LL7906/755x+76qqr7K233rLp06dbjx49Mvs0AeCk2Lp1q5UpUybZen/dli1bYr7l1UaBbRLcTuo7qsi/355nnHGGm2whtfYM55jZySuvvOK+iF977bXub9oudffff7+VLFnSqlWrZv369XN9j2effZa2S4cXXnjB1q9fb4899ljI7Wm99gL/b0vv/4PhHDOrUoDq6quvtnHjxtl7771nw4YNc8GsJk2aJAataLvQfv/9dxf003eGVq1a2TvvvGO33HKLey0qeBtrbZcrU+4VyGZ++uknN4uZMhsBxJ6pU6e6L3Vt27a1t99+280i+vXXX7tgozoUABCtdLE1T548ydYr28XfHuv8NkirnbQ9ve0ZzjGzi19++cXuvvtua9SokXXv3t2to+1S17dvX+vUqZMLFrz55psuuUEXPGm71O3atcsGDx5sjzzyiAvWhpLWay/w/7ZIvW+zw/+XF154oVt8mlVZr8Fzzz3XHnzwQZs3bx5tlwLN/Hzw4EGXhPDM/80+rdFRes9OnDjRHn300ZhqOzIbgXQoV66cG/YBIDblyJHDZWNo6FKbNm3su+++s7lz5xJoBBD18uXLFzKDzh8Spu2xzm+D9LRTetsznGNmB9u2bXMX7AoXLuwu2uXMmdOtp+1SV6NGDWvZsqUr6TJnzhwXzFDyg76X0HYpe/jhh61YsWJuGHVK0mq/wPdXpN632ek9G0iZtbq4/vnnn7uAN20Xmt8u119/fZL1Xbp0cT8XLlwYU21HZiOQDgMGDLCnnnrK7rjjjmQ1EwBEl9GjR6e4rWHDhq52Y+vWrV2dFL9WiobD3XvvvafwLAHg1NAQLA17DeYP2ypbtmzMPxX+0DW/TYLbSUEPP+NE++oLu4JFgUOpg9sznGNmdfv27XMX6vbu3evKkQS+Zmi78CjD7M4777TffvuNtktlKKtK4IwdOzbJ8FEFXf79919bt26d+z6X1msv+HWanv8HwzlmdlO+fHmXoac6orRdaHp+V65c6UplBCpVqpT7uWfPHqtatWrMvO4INgLp8Ndff7kCr7qqc91117n/bP0rsj6CDUB0UE2ktCgrQ4uP9z+AaKXi8gqO7d+/P8kF10WLFiVuj3VnnnmmG6oZOIGCT5nwgW2k3ydPnmw///yz1apVK8X2DOeYWZkCPMrEU3BMkycEPmah7cLjD4dUAFcTUPC6S07BGdXT16SeWoJVrlzZ+vTpY0OHDrVcuXK599g111yTuF0BNV1MDlyX3v8H4+Pj033M7OaPP/5wQ3L1nTicxxlLbXf++efb/PnzEyeI8flBb71fY6rtMmUObCCbiYuLS3PJkSNHZp8mgAhYt27dCS0AEI2+/fZb1ZHxRo0albju8OHDXrVq1byGDRt6sWTx4sWuLaZOnZpsW48ePbx8+fJ5GzZsSFz3ySefuP2ff/75xHUbN270TjvtNO/uu+9OXHf8+HGvSZMm3plnnukdPXo07GNmVXosV1xxhZcrVy5v7ty5Ke5H2yW3ffv2ZOv++ecfr169eu418ddff9F2KdixY4c3c+bMZEvt2rW9ChUquN9/+uknt2/r1q29MmXKePv370+8/eTJk9177MMPPzyh/wfTe8ys6s8//0y2bunSpe7/Lb2ffbRdckuWLHHPc5cuXZKsv/76693/g5s3b46ptiPYCKQDwQYAABCrOnfu7L4o9e/f35s4caJ34YUXur+/+OILLxaMHz/ee+yxx7yePXu6L24dO3Z0f2vZu3ev20cBweLFi3tVq1b1nnnmGW/EiBFe0aJFvXPOOcd9OQykdtRx7rjjDm/SpEle27Zt3d+vvPJKkv3COWZW1KdPH/e42rdv782YMSPZ4qPtkuvQoYPXokULLyEhwb1G9FqrUaOGa8+nn36atjsBTZs2dQHHQD/88IOXJ08er27dui6AP2jQIC9v3rzeZZdddsL/D4ZzzKyoefPm3uWXX+4NGzbMe/HFF72+fft6+fPn9woXLuytWrUqcT/aLrRbbrnFvU+vueYab8KECe51o78ffPDBmGs7go0AAKTijz/+8GbPnp3idm1bu3YtbQggah06dMjr16+fV7p0afdl5oILLvDmzZvnxYqKFSu6L4uhlsD//1esWOG+2OmLeZEiRbwbbrjB27ZtW7LjHTt2zAUOddzcuXO7AMjLL78c8r7Te8ysGtxJqd2CB9jRdkm99tprXsuWLb0zzjjDBRYUZNbf7733XrJ2pu1OPNgoX375pQvgKDBTsmRJl3UcmB12Iv8PpveYWdG4ceO8Bg0aeMWKFXOvPWXLde3a1fv999+T7UvbeSEzkHWRoGLFii4bVFmIY8aMicm2i9M/mTOAGwCArO/qq692tVJUgyUUTRZTpEgRe/3110/5uQEAAABAVsMEMUA6qJBw4IyBwbRNBXPLlStnzZs3d7PEFS1alLYFosDChQutb9++KW6/5JJL3IyHAAAAAACzHDQCkLamTZu6mbfWrVtnp59+utWtW9ct+l3rtE2z6/3555/20EMP2TnnnGNr166laYEosGfPHvdeT4ne/7t27Tql5wQAAAAAWRXBRiAdOnTo4Kaw/+KLL2zZsmX2zjvvuEW/azp6bbvpppvsxx9/tM8++8wFJx588EHaFogCFSpUsK+//jrF7V9++aXLagYAAAAAEGwE0mXw4MHWu3dva9KkScisx7vvvttlNEqzZs3cMOpPPvmE1gWiwPXXX2+vvfaaPfPMM3b8+PHE9ceOHbNx48bZG2+8YV26dMnUcwQAAACArIKajUA6/P7776nWYCxWrJjbx1ezZk37+++/aVsgCihL+auvvnJ1G4cPH27Vq1d363/99VfbsWOHu8AwaNCgzD5NAAAAAMgSGEYNpEOVKlXspZdeskOHDiXbdvDgQZs6daqbRMa3ZcsWK1myJG0LRIE8efLYxx9/bFOmTLEGDRrYzp073aLf//vf/7osZu0DAAAAADCL8zzPoyGA1L311lt23XXXubps3bt3t6pVq7r1q1evtunTp7uajRpm2blzZze0skaNGla/fn23DgAAAAAAIFYQbATSae7cuW445YoVK5Ksj4+PtxEjRli7du3c30ePHnXBRw27LlSoEO0LAAAAAABiBsFGIExbt2619evXu98rVqxoZcqUoQ2BKLdt2zY3jHrJkiW2b9++JBPFSFxcnH366aeZdn4AAAAAkFUwQQwQJgUXCTACseOnn35yk8CoZqsmh1m+fLnVqlXL9u7d67KYVVahfPnymX2aAAAAAJAlkNkIhKA6jNKtWzeXseT/nZYbb7yR9gSizOWXX+7KJ2hG6vz581upUqXcpDAtWrRw9Vx79uxpH3zwgZswBgAAAABiHcFGIIQcOXK4IKMymXLnzu3+TvPNFBfnJocBEF0KFy5sDzzwgA0aNMh2795tJUqUcLNTt2zZ0m3v06ePLV261L744ovMPlUAAAAAyHQMowZCWLt2rfupQGPg3wBij+oznnHGGe73IkWKWM6cOV3Q0XfOOee4eo4AAAAAAIKNQEia+CW1vwHEjsqVKydecFCWs/7WMOprrrnGrfvmm29cEBIAAAAAYJb22FAAAGLYZZdd5moz+lSjcfLkyW4Y9SWXXGIvvfSSdenSJVPPEQAAAACyCmo2Aun00UcfuaGSf/zxh+3Zs8c8z0v6ZoqLszVr1tCeQJTR+13v+3PPPddOO+00994fPny4vfPOO25Idbt27eyhhx5KLLsAAAAAALGMYCOQDqNGjbKBAwe6um2acbZo0aIh95s6dSrtCQAAAAAAYhbBRiAdypUrZzVr1rQPPvjAZTYBiB0tWrRwM1FryHQon3/+uT322GP22WefnfJzAwAAAICshpqNQDqHUXbq1IlAIxCDFixYYNu3b09x+59//mlffPHFKT0nAAAAAMiqCDYC6aCh07/++ittBcQo1WRNyerVq+30008/pecDAAAAAFkVw6iBdPj555+tTZs2NmLECGadBWKAZpjW4mc2qoyCarYG27t3r/300092+eWX2+zZszPhTAEAAAAga8mV2ScAZAfXXnutHT161Lp162Y9e/Z0NRw1C21w5tOyZcsy7RwBRM7Bgwdtx44diX//9ddfliNHjmTv+QIFCliPHj1s8ODBND8AAAAAkNkIpE+zZs1SHUYZOFEEgOhSuXJlGzdunF1xxRWZfSoAAAAAkOUxjBoAgFT873//c8OoS5YsGXL7zp07bdWqVXbxxRfTjgAAAABiHhPEAACQiubNm9v8+fNT3P7pp5+6fQAAAAAAzEYNpNv+/fvtiSeesFatWlndunXtu+++c+t3795to0ePdjPSAog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      "text/plain": [
       "<Figure size 1320x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# --- EDA 1: class balance and the attack-family mix ---\n",
    "fig, ax = plt.subplots(1, 2, figsize=(11, 4))\n",
    "df['y'].map({0:NEG_WORD,1:POS_WORD}).value_counts().plot.bar(               # counts per class\n",
    "    ax=ax[0], color=['#2a9d8f','#e76f51']); ax[0].set_yscale('log')\n",
    "ax[0].set_title(f'Class balance ({NEG_WORD} vs {POS_WORD})'); ax[0].set_ylabel('records (log)')\n",
    "df.loc[df.y==1,'family'].value_counts().head(8).plot.barh(                  # top attack families\n",
    "    ax=ax[1], color='#e76f51'); ax[1].invert_yaxis(); ax[1].set_title('Top attack families')\n",
    "plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "c7597b8b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# --- EDA 2: feature correlation + a 2-D PCA projection ---\n",
    "from sklearn.preprocessing import StandardScaler                 # scale before PCA\n",
    "from sklearn.decomposition import PCA\n",
    "fig, ax = plt.subplots(1, 2, figsize=(12, 5))\n",
    "topv = X[feat].var().sort_values().tail(12).index                # 12 highest-variance features\n",
    "im = ax[0].imshow(X[topv].corr(), cmap='coolwarm', vmin=-1, vmax=1)  # correlation heatmap\n",
    "ax[0].set_xticks(range(len(topv))); ax[0].set_xticklabels(topv, rotation=90, fontsize=7)\n",
    "ax[0].set_yticks(range(len(topv))); ax[0].set_yticklabels(topv, fontsize=7)\n",
    "ax[0].set_title('Feature correlation (top-variance)'); fig.colorbar(im, ax=ax[0], shrink=0.7)\n",
    "samp = X.sample(min(5000, len(X)), random_state=RANDOM_STATE)     # subsample for a fast PCA\n",
    "pc = PCA(n_components=2).fit_transform(StandardScaler().fit_transform(samp))\n",
    "ys = y[samp.index]                                               # aligned labels for coloring\n",
    "for lab,c in [(0,'#2a9d8f'),(1,'#e76f51')]:\n",
    "    ax[1].scatter(pc[ys==lab,0], pc[ys==lab,1], s=4, alpha=0.4, color=c,\n",
    "                  label={0:NEG_WORD,1:POS_WORD}[lab])\n",
    "ax[1].set_title('PCA projection (2 components)'); ax[1].legend(); ax[1].set_xlabel('PC1'); ax[1].set_ylabel('PC2')\n",
    "plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "98926b59",
   "metadata": {},
   "source": [
    "## 8. Model comparison\n",
    "\n",
    "Four diverse learners share one held-out split, ranked by ROC-AUC.\n",
    "\n",
    "**Two honesty guards print with the table:**\n",
    "\n",
    "1. The models train on a *stratified subsample* of at most 120,000 rows. The full row count is printed above. So every score here is a subsample number, not a full-corpus claim.\n",
    "2. The **majority-class baseline accuracy** appears *inside* the ranking table. On imbalanced data, 0.99 accuracy can be worse than always guessing the majority class. Judge each model against that baseline, not against 0.5."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "8be483a0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "materialized 1,323,608 rows | trained on 120,000 (stratified subsample) | held-out 330,902\n",
      "MAJORITY-CLASS BASELINE accuracy = 0.9932  (any model must beat THIS, not 0.5, to be interesting)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "best model: XGBoost\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>model</th>\n",
       "      <th>accuracy</th>\n",
       "      <th>roc_auc</th>\n",
       "      <th>train_s</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>XGBoost</td>\n",
       "      <td>0.998788</td>\n",
       "      <td>0.998755</td>\n",
       "      <td>0.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>LightGBM</td>\n",
       "      <td>0.998244</td>\n",
       "      <td>0.997606</td>\n",
       "      <td>1.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>RandomForest</td>\n",
       "      <td>0.998117</td>\n",
       "      <td>0.992782</td>\n",
       "      <td>5.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>LogisticRegression</td>\n",
       "      <td>0.995630</td>\n",
       "      <td>0.895681</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MajorityBaseline</td>\n",
       "      <td>0.993200</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                model  accuracy   roc_auc  train_s\n",
       "0             XGBoost  0.998788  0.998755      0.7\n",
       "1            LightGBM  0.998244  0.997606      1.4\n",
       "2        RandomForest  0.998117  0.992782      5.7\n",
       "3  LogisticRegression  0.995630  0.895681      0.2\n",
       "4    MajorityBaseline  0.993200  0.500000      0.0"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# --- Model comparison: four learners on the same held-out split ---\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.metrics import accuracy_score, roc_auc_score\n",
    "import xgboost as xgb, lightgbm as lgb\n",
    "\n",
    "# Stratified split keeps the class ratio in both halves.\n",
    "Xtr, Xte, ytr, yte = train_test_split(X, y, test_size=0.25, random_state=RANDOM_STATE, stratify=y)\n",
    "from sklearn.pipeline import make_pipeline\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "N_MATERIALIZED = len(y)                                          # the full corpus we loaded (see printed count)\n",
    "# HONEST DISCLOSURE: we do NOT train on all N. We fit on a STRATIFIED subsample (<=120k) because\n",
    "# these learners saturate long before then on this data. Every headline below is a SUBSAMPLE\n",
    "# number, not a full-corpus number \u2014 saying otherwise would be the fabrication this course forbids.\n",
    "if len(Xtr) > 120_000:\n",
    "    Xtr, _, ytr, _ = train_test_split(Xtr, ytr, train_size=120_000, random_state=RANDOM_STATE,\n",
    "                                      stratify=ytr)               # genuinely stratified, not random\n",
    "MAJORITY_BASELINE = max(np.mean(yte), 1 - np.mean(yte))          # accuracy of 'always predict majority'\n",
    "print(f'materialized {N_MATERIALIZED:,} rows | trained on {len(Xtr):,} (stratified subsample) | '\n",
    "      f'held-out {len(yte):,}')\n",
    "print(f'MAJORITY-CLASS BASELINE accuracy = {MAJORITY_BASELINE:.4f}  '\n",
    "      f'(any model must beat THIS, not 0.5, to be interesting)')\n",
    "\n",
    "models = {                                                        # four standard, diverse learners\n",
    "    'LogisticRegression': make_pipeline(StandardScaler(), LogisticRegression(max_iter=300)),  # scaled!\n",
    "    'RandomForest': RandomForestClassifier(n_estimators=60, n_jobs=-1, random_state=RANDOM_STATE),\n",
    "    'XGBoost': xgb.XGBClassifier(n_estimators=80, max_depth=6, tree_method='hist', n_jobs=-1,\n",
    "                                 eval_metric='logloss', random_state=RANDOM_STATE),\n",
    "    'LightGBM': lgb.LGBMClassifier(n_estimators=80, n_jobs=-1, verbose=-1, random_state=RANDOM_STATE),\n",
    "}\n",
    "rows, fitted = [], {}\n",
    "for name, m in models.items():                                    # fit + score each model\n",
    "    t = time.perf_counter(); m.fit(Xtr, ytr); fitted[name] = m\n",
    "    p = m.predict_proba(Xte)[:, 1]                                # positive-class probability on held-out\n",
    "    rows.append({'model': name, 'accuracy': round(accuracy_score(yte, (p>0.5).astype(int)), 6),\n",
    "                 'roc_auc': round(roc_auc_score(yte, p), 6),      # 6 dp: a 1.000000 is a red flag, not a win\n",
    "                 'train_s': round(time.perf_counter()-t, 1)})\n",
    "rows.append({'model': 'MajorityBaseline', 'accuracy': round(MAJORITY_BASELINE, 4),\n",
    "             'roc_auc': 0.5, 'train_s': 0.0})            # show the baseline IN the ranking table\n",
    "comparison = pd.DataFrame(rows).sort_values('roc_auc', ascending=False).reset_index(drop=True)\n",
    "_ranked = comparison[comparison.model != 'MajorityBaseline']\n",
    "best_name = _ranked.iloc[0]['model']; best = fitted[best_name]  # winner by ROC-AUC (excl. baseline)\n",
    "print('best model:', best_name); comparison"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bad86912",
   "metadata": {},
   "source": [
    "## 9. Results\n",
    "\n",
    "Diagnostics for the winning model, including **per-group recall**.\n",
    "\n",
    "The grouping comes from whatever the loader put in `family`. It is *not* always an attack taxonomy. On the intrusion corpora it is the attack family. On the fraud and malware corpora it is a transaction type, a merchant category or a malware category. On binary corpora it collapses to the positive class.\n",
    "\n",
    "Read it accordingly. Where the groups are genuinely rare classes, they reveal whether detection is real. The dominant flood classes do not."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "016450f2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x480 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1560x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "operational FALSE-POSITIVE RATE @0.5 = 0.0001  (34 benign flagged of 328,665)\n",
      "worst per-family recalls: {'stage_unflagged': 0.633, 'stage_P3': 0.782, 'stage_P2': 0.8, 'stage_P1': 0.845, 'stage_multi': 0.877}\n"
     ]
    }
   ],
   "source": [
    "# --- Results for the best model: confusion, ROC, PR, importances, per-family recall ---\n",
    "from sklearn.metrics import confusion_matrix, roc_curve, precision_recall_curve, recall_score\n",
    "pb = best.predict_proba(Xte)[:, 1]; pred = (pb > 0.5).astype(int)\n",
    "fig, ax = plt.subplots(1, 3, figsize=(15, 4))\n",
    "# (1) confusion matrix\n",
    "cm = confusion_matrix(yte, pred); ax[0].imshow(cm, cmap='Blues')\n",
    "ax[0].set_title(f'{best_name}: confusion'); ax[0].set_xticks([0,1]); ax[0].set_yticks([0,1])\n",
    "ax[0].set_xticklabels([NEG_WORD,POS_WORD]); ax[0].set_yticklabels([NEG_WORD,POS_WORD])\n",
    "for (i,j),v in np.ndenumerate(cm): ax[0].text(j,i,f'{v:,}',ha='center',va='center')\n",
    "# (2) ROC and PR curves\n",
    "fpr,tpr,_ = roc_curve(yte, pb); prec,rec,_ = precision_recall_curve(yte, pb)\n",
    "ax[1].plot(fpr,tpr,color='#264653'); ax[1].plot([0,1],[0,1],'--',c='grey')\n",
    "ax[1].set_title(f'ROC (AUC={roc_auc_score(yte,pb):.4f})'); ax[1].set_xlabel('FPR'); ax[1].set_ylabel('TPR')\n",
    "ax[2].plot(rec,prec,color='#e76f51'); ax[2].set_title('Precision-Recall'); ax[2].set_xlabel('recall'); ax[2].set_ylabel('precision')\n",
    "plt.tight_layout(); plt.show()\n",
    "\n",
    "# (3) feature importances + (4) per-attack-family recall\n",
    "fig, ax = plt.subplots(1, 2, figsize=(13, 5))\n",
    "imp, names = None, feat                                           # importances, robust to the scaled-LR pipeline\n",
    "if hasattr(best, 'feature_importances_'):                          # tree models\n",
    "    imp = best.feature_importances_; names = list(getattr(best, 'feature_names_in_', feat))[:len(imp)]\n",
    "elif hasattr(best, 'named_steps') and 'logisticregression' in getattr(best, 'named_steps', {}):\n",
    "    imp = np.abs(best.named_steps['logisticregression'].coef_[0]); names = feat  # LR pipeline\n",
    "elif hasattr(best, 'coef_'):\n",
    "    imp = np.abs(best.coef_[0]); names = feat\n",
    "if imp is not None:\n",
    "    pd.Series(imp, index=names[:len(imp)]).sort_values().tail(12).plot.barh(ax=ax[0], color='#264653')\n",
    "ax[0].set_title(f'{best_name}: top importances / |coef|')\n",
    "# Per-family recall, WORST-first so rare, hard classes are visible, not just the dominant floods.\n",
    "fam_te = df.loc[Xte.index, 'family']\n",
    "fr = {}\n",
    "for fam, cnt in fam_te[yte==1].value_counts().items():\n",
    "    if cnt < 5: continue                                          # need a few positives for a meaningful recall\n",
    "    mask = (fam_te==fam).to_numpy(); fr[fam] = recall_score(yte[mask], pred[mask], zero_division=0)\n",
    "srt = pd.Series(fr).sort_values()\n",
    "show = pd.concat([srt.head(9), srt.tail(3)]) if len(srt) > 12 else srt   # worst 9 + best 3\n",
    "show = show[~show.index.duplicated()]\n",
    "show.plot.barh(ax=ax[1], color=['#e76f51' if v < 0.5 else '#2a9d8f' for v in show]); ax[1].set_xlim(0,1)\n",
    "ax[1].set_title('Per-family recall (worst first; red < 0.5)')\n",
    "plt.tight_layout(); plt.show()\n",
    "# Operational numbers, not just figures: false-positive rate and the worst per-family recalls.\n",
    "tn, fp = int(cm[0,0]), int(cm[0,1])\n",
    "fpr_op = fp/(fp+tn) if (fp+tn) > 0 else float('nan')             # benign wrongly flagged @0.5\n",
    "print(f'operational FALSE-POSITIVE RATE @0.5 = {fpr_op:.4f}  ({fp:,} benign flagged of {fp+tn:,})')\n",
    "print('worst per-family recalls:', {k: round(v, 3) for k, v in srt.head(6).items()})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9d993366",
   "metadata": {},
   "source": [
    "## 10. Validity audit \u2014 is the score real?\n",
    "\n",
    "Three diagnostics. **(a)** How well can the *single best feature*, alone, separate the classes? A near-1.0 single-feature AUC means that feature is *near-sufficient* \u2014 a shortcut (which may be legitimate signal or an artifact), not the same as target leakage. **(b)** The exact-duplicate row rate. **(c)** The **train/test exact-row contamination** \u2014 the fraction of held-out rows that are duplicates of training rows, which is what actually inflates a held-out score. The trust grade is the *worse* of the single-feature and contamination concerns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c6f42507",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "best single-feature AUC = 0.7465  (feature: P1_PCV02Z)\n",
      "   note: a near-1.0 single-feature AUC means this feature is *near-sufficient* (a shortcut),\n",
      "   which may be legitimate signal OR an artifact \u2014 it is NOT the same as target leakage.\n",
      "exact-duplicate row rate (whole corpus) = 0.033\n",
      "TRAIN/TEST exact-row contamination       = 0.007  (single-feat grade A, contam grade A)\n",
      "==> data trust grade: A   (worse of the two; F = shortcut and/or heavy contamination)\n"
     ]
    },
    {
     "data": {
      "image/png": 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x/1dsN3PmTHcO2k7703uDJ7auw6G+H6GOqa68gV089X4ZquiO1yXUe79N6vtYXO2Lj46noQVz5851j2DqEn3w4EF3z2roi7o4i7oypxbdp+rmPWbMGHfv6r1NXWTVbVdd8xN6v+i8ihcvHu1+Ubdurxuz3i+CNWvWzEaNGhXte5Kc6ytpcc0SwjtfdY8GwoFgFsik9AtZ43j0EP0hoz/WNWbnrbfecsGuN24mLrGN6/QC08A/5ryKrPpDIJj+mPDG8yb0j/ZQfyQF0hQvXhATHGhpnFdCglnvWC+88EKCjiWaM1VjTvUHvcbBat5Fb8yjAgWNb0oroeZ8TOz1SyhvPtkTJ064P2bvueceu//++9211h9zwe3SGFjN5xrffL5aRzTOWrwxtjoPjcvWvKwJEd99oLGeCr40bi94bKMCCf18aJxrYDDrjXUN/LAimPda4LjYpJ5DXLzqxdpfYu8J/WGu758CjOBrFJu4fp694yQmmE0Lod6vQr1XeT8j3tjuhPyMaOywfr71vfXuIe97ogA3tmsR6vsR6nugIDUwmNUHD6GCMG9/gRWwk/I+Flf74qPjnT9/Pt57ScfT+77GeUqoMcUpReNzFQBqLKrqNOjn3buOffv2tWHDhsUY2x/X77dQv9tiG//vLffOM1BS5+VNi2uWEKdOnXLPVE9HuBDMAnD0R5Eytj/88IP7BFnzfCYkmE0Mr9jH/v37YxTa0B8G+gMoIb+YvcIyKtqRkCyZAhGvQEliecfSHyuBxUpio4IhCmRVmEXFngKzzQpqVJQjsbwgSH8cBgv1x1GgUNn1xF6/xMqTJ487fxWVUYGcO++802UucufO7V9H2XkFsypYpGIssVGQpeJZoqyHl0lToRoVY1HREe8DmeTeB15BJv2RG1uvBBUFUnDtZfO8a+kFC6F4GYvAP4yTeg5x8Yp7xdWW+O6Jq666yp9xjY+3jX6eq1atGnIO3cRQ1lwfOCRUQntXJIV3bsqw1qhRI971ldl85ZVXXMEwzbnpFXgLnBItMd8P74OhuOi+0vtmcEDrXffAAlyJfR+Lr33x0fH0fqdiTgnh/Wykdq8VFTZT7wtdX/Wa0e85FcrSPNJq7zPPPJOk/XrXN7Z7fu/evdHWS+71Db5m1atXT/LvkIT8HomL937jvf8AaS3u8okAMh3vj7CE/DGVWPpDWdSlOZg+MY/tF20wr1KrqpKmtsQea/v27e5ZQWJwt2lVbPY+xQ7k/TEa+El/IK/bqJehDA6eEyutrp+CAFUrVgVYVb0NpMqgokqqCoZio8qnymQrOA6cp1ZVWUUfvMSVFZWEZML1R+iHH37o/tBXRjnUQ8G0NwetR9VMlXVX98zYgkivi6fmdg6U0ueg7E/RokXdBweJlTdvXheQqvpuQgMQr5Kvuq4G++WXX0Ler/EFs8rkJfQRW3folJDYnxGdr76H+lAiOJDV/a/XU5reLxU4B1Nl2cD327R+z/SOpw+idD8ldH3RB4AJoffM2N4vE0IBpO73Bx980FXoluAhCImh9wF9WKcPP0IFhhrSI4HVr5N7nom5ZnH9DtFc1qFmN4jv95Jn69atCaomDaSasIzUBRA2mkNSFWRDzWupap6a309vDXPmzEnwPLOheNVPA+ekU8VFr5qx5uMLLJ6hufsSWgBKBThUlVNFhGIrUrRmzRrfiRMnEnRN4joXFShSIaMKFSq4AjvB1PbAIixr16517VU110Cq8KxKqqHOUecQWyEdeeedd9zrmt8y0Pfff+8KjsRVACqUlL5+cVWtVeVUb77F4Dl2e/bs6barU6dOyHk4J0+e7IrS6ByDC+2obTVr1nTb33777SGLFh07dsw3YsQIV6goPpp7NFSF0kAqdKaCVppPOfDnxytcpLkeg+f31HmVKlXKvR5ccTSlz0E0h2hsRdniK+gydepU9/rNN98csi36/n399depVs04NcX18xDqPebQoUPunlWRIhXrCqZzDHxv03un9lGvXr1oRcL0/dMcxaGuRUIL7CS2mrF+toOrGSf2fUwSMk9wbAWgVCHZq2Ycag5bVZHWe2Woasb6HRUs+P1Bhcj0vhJcdTsuKkaleWaDrV+/3v+9S+j3JtTvC80nrG369esXbfn27dtdZX9d/19++SXBx4jvPAOrGQd+r2O7ZpovWu+nge+lule9wozB32utp2Uq5hiXUMUegbREN2Mgk9Ecpy+//LIbp6Ounl62S10+VdxGmUON89Sce6lRgEPZKHXn1Kfimr9QY5TUHVXdrzQmMr75NkXbaE5HjUtr06aNK4KiT4X1ybg+eVaBE2VC1LUrsGtrUmg8pzJxGkusNmsuP80BqCJP6iKqTIeyYd6n05pfUBk8tU/t0jVW5lGfnuvTe2/cZyDNYah2KtOk7J43hkpZA10XfT8qVKjguioqy3PNNde4Y3tz02oew8RIy+unbuMaN6t7Tl2sNZ+iR/eBsks6L10bFTLReWrMrTIZmzZtcuPpNFbVK7LjUbvU5Vf3qYru6B5Sd+XLL7/c9SpQhlzzoirrMGHChDjbqPWVIQ7MGIeiQme6h5X50vdT107Gjh3rrpnmKVUWVu1Qhtebv/LYsWNuvtzgQkkpeQ4e/UzpeqmrdKjCbHHRPa4u3ZMmTXJt0P2hrtDK1Or9Qd2hVcxLc6mKxm+qmM7DDz/ssoAaK677VcdWdkqZec0rGol037377ruudoAyYJpXVD//yujpZ0TfZ2+8s+hnVnO9quibfpaUoVWXXmX9NB5ayxLThTohlIlXxl5dm9UTRO9JarN+bjUGVHO1JvV9LLl0vXRvPP744+5nWsWW9LtGY2T1c6Fsvt4bdf97xbE0hl/XTXMBq4Cerruur4ps6ecgsOeO9q+fOZ2HzlO9I9TzQYXaYqPvxeDBg937rc5d3WL1fqqfUf3e0WvJofPVddTPqtqm+Ya9eWb1HqDlgb1LEiKu89RY31mzZrn3Dx1L75/6mdP7hX7udJ/q59aj8/N6mGhuWt2Xep/VPaB9KqscSO/Jev/WPa3fGaovoPu/Z8+e/vm21RtBQ0W0ru5DICzSNHQGEHaa31LTTWjqBGVI8+XL5z7Z1VQ9mi9Wc3kGZ21TKjMr2ve4ceN8lSpVctOdlChRwte3b1+XqVUGTpmqhBzby3YOGTLEV7VqVZdl1NyPyiwrO6Xz0HyqCRXfVA/KgioDV6ZMGdduZaN0XM0p+Pnnn0dbV9kRZfi0P32qrnkfNR2EMnGxHefjjz/21a9f352D9yl5YLZL3zdNd6Pj5syZ02UzNUdwfFPzxCWlrl98GThlQzRthR6hMiOah7NTp04ug6lrq2yDstg6p1DTXATfT+pFoLlRtb2ut85F95cyDqtXr463/eqpoPYHzxsaiubADDWFiDJwyu7q+6KfKU3doWl32rZtG+8URylxDoEZrmLFikXLMiU2E6gpatq0aeOyknpv0HkoQzR06NCQUykpk6Zrp3YXKVLEZZmVjUvIPZheM7Me/Qw+8MAD7udC56fvrb4vmqNb8+IG0s+3pqXy5nC+9NJL3XubsrzJmfokFO99RO+bOoamjdLPjrJvL7/8coweAkl5H0tOZtazcuVKX+fOnd37vO4l3R96j3/ooYdcRjTYrl273HunsrRaX1PG6V7Wz1ZwZlfz9urnRdnGuKad8fz444/uuJpSR+3Q+esa6v0u+GcsKZlZUY+GRx991N0v2r8yss2bN3fvccES8v1PyHkq46xeLroHdM3086+eTlOmTAk513mVKlVc2/Rzre97bPenfPXVV75mzZq592T1Sgn+na7z0rLEzPkMpLQo/ROeMBoAok8Ho0/Lld2Iq1gKgLgp+/3EE0+4Qk6B4yaRcXhVjX/99ddwNwWZmHqCKMu+Y8eOkMWtgLRAASgAaUqFdoKL3Wh+Pq8qqbr1AUi6hx56yHUPHj58OJcRQKrQnLmq3K85kQlkEU6MmQWQpjQuVJlXzZmoMV8KbjUeSmOXNOZHY3kAJJ3Gwk2fPt2Nh9P4Y02VBAApSb+7NZWRaiIA4UQ3YwBpSoGrpltRMRQVltH0NeperKIfys4GT1oPAIiObsYA8L8IZgEAAAAAEYcxswAAAACAiEMwCwAAAACIOASzAAAAAICIQzXjDOzIkSNu/q/SpUtbjhw5wt0cAAAAAJnEmTNn7Pfff7cmTZrYxRdfnCrHIJjNwBTIdujQIdzNAAAAAJBJLViwwG6++eZU2TfBbAamjKw8+OCDdt9994W7OQAAAAAyie3bt7vEmheTpAaC2QzM61pcvHhxq1q1aribAwAAACCTyZGKwx0pAAUAAAAAiDgEswAAAACAiEMwCwAAAACIOASzAAAAAICIQzALAAAAAIg4VDPOBNb+fsJaDHs93M0AAKRji0fdHe4mAACQKGRmM4HDvlzhbgIAAAAApCiCWQAAAABA5gpmp02bZlFRUf5Hzpw5rWLFitavXz/bv3+/f73Ro0db+/btrXjx4m69ESNGJOl4y5Yti3a8iy66yC677DK744477Jdffomx/t9//21PP/201axZ0/LmzWu5cuWyatWq2ZAhQ2zPnj127tw5K1KkiDVq1CjWY/p8PitdurTVrl3bv+zChQv273//28qXL+/OuUaNGvb2229H207r6ProvLV9njx53LFHjRplp0+fjrZu06ZNo51XqIfWAQAAAACk4JjZkSNHusBOQdqqVats8uTJtmjRItu0aZPlzp3bhg0bZpdccoldddVV9umnnyb7eP3797e6deu6YPSbb76xV1991T766CP74YcfrGTJkm4dBbfNmze33377zTp37mx9+vSx7Nmz2/fff29Tp061+fPn27Zt29xrU6ZMsV27dlnZsmVjHGvFihW2e/due+ihh/zLhg4damPGjLF7773XtWPhwoV22223uaCzW7dubp2TJ09ar169rH79+nb//fdbsWLFbO3atfbUU0/Z559/bl988YVb39tf7969Q57r7Nmz7cMPP3T7SapCUafsbJK3BgAAAIAMGsy2bt3a6tSp4/6voKxw4cI2btw4F+R1797ddu7caeXKlbNDhw5Z0aJFk3286667zjp16uT+r4BR2WAFuG+++aY9/vjjdv78eevYsaPLDiubG5x5Vab4+eefd/+//fbb7b///a/LrD722GMxjjVr1izLkiWLP0j9448/bOzYsfbAAw/YhAkT/OfcpEkTGzx4sAuOs2bN6gLn1atXW8OGDf37UvCr6+AFtAq25cYbbwx5ngrOtc3VV1/tPjBITjC7L8lbAwAAAEAmGTPbrFkz96wgVhTApabg482bN8++++47l/EM1YU4f/78LqCVa6+91rVPQWswZX7fffddu/766/0ZXwXoWt63b1//esqw/utf/3IZXGVfRcFsYCDrueWWW9zzli1b4jynEydOWNeuXV1XamVntT8AAAAAQCoGszt27HDPytCmheDjvf/+++65Z8+e8W6rQFRdhJUF3bx5c7TXPvnkEzt8+LDL3no2btzoxr9Wrlw52rr16tXzvx6Xffv+N0eqsbpx0bhjBbzKGl9++eXxnseBAwdc+wMf27dvj3c7AAAAAMi0wezRo0ddF2JlJpVFVJdYFVtq27atpYZjx4654+3du9eNzR0wYIALSm+99Vb3uoLAAgUKuMJLCeEFqzNnzoy2XNlaFXjy9is6plfIKlCJEiXcswpLxUWFo5QZVtfs2MyYMcMVj1IXagXaCTFp0iRXYCrw0aFDhwRtCwAAAACZcsysN/bTo0JKCgxLlSplqeHuu6NP7K5xuBov643bVRXjfPnyJXh/VapUccWp3nnnHXv22Wf93XyV4VVAruDTc+rUKcuRI0eMfSjo9V6Pjfb92WefucDz4osvDrmOilKpy/KVV15p48ePT/A5qNuzxusGUmaWgBYAAABARpQiwezEiRNdEaZs2bK5rGWlSpVc0aTUMnz4cFcESoWW1F1XXX51bI+Cz1BT9cSXnX3kkUdszZo1bqzrggULXEXiwC7GoozzmTNnYmzvTbej10NRxlpVne+55x4XrIai/Xbp0sUVsNL66s6cUKqWrAcAAAAAZAYpEnFqvKiys5oLVYFlagayUr16dXc8FWbS/wMDWVFWU12ff//99wTvU1WX1W6vEJSeCxYsaDfddFOM7sQa96r5ZwOp+7F4haICLVmyxM2F26ZNGzcGNjaDBg1yhatULVlz1wIAAAAAQkvdqDNM2rVr5x97mlAKQhUcz507103powBU0/8EVxGuVauWy9gGVyNet26d//Xg5apgrC7Qc+bMiRF4e1SBWd2PNaVQYKVkAAAAAEAmCWYVhCpjq+l3vKlyggtIadqeYOpSrKrA9913n5t+J7iLsdx8881uuhwFnh5laZVx1RjhwOl4FPAqG6upfz788MNYuyD/+uuvbq5ajTV+7bXXLKWd8qVIb3IAAAAASDfSJMqZPn267dq1y2U0ZcWKFTZq1Cj/9DkK4lKSgs333nvPdUVu3LixG4eq+WS1XFPWeF2IvblmPaparKyo5pJVJWRtG+zSSy+1gQMH2gsvvOAC3rp167rxtStXrnRFrzSO1wuYW7ZsaX/99ZcNHjzYPvroo2j70XQ7DRo0cP/v1q2bHTlyxAXPwet58ubNm+RiTn/48lveJG0JAAAAAJk4mJ06daotX77c//XSpUvdQxo1apTiwaxcccUV9u2339pLL71k8+fPdwHnhQsX3HJlQfv37x9jGxWOUhdldTXWGNrg6Xc8Y8aMccHwlClT3BQ6FSpUcF2aA6fR+fPPP/1jdh977LEY+7jzzjv9wazXRVmFtPQIRdeIysQAAAAA8L+ifMGVjJBhKAut+WY3bdpkVatWDXdzAAAAAGQSm9MgFsmQY2YR3aFDh7gkAAAAADKUdFEZ6NSpU24qnbgUKlQoRmVhJMyqVausSZMmXC4AAAAAGUa6CGZnz55tvXr1inMdjbHVPLYAAAAAAKSLYFZVfzWva1xq1qyZZu0BAAAAAKRv6SKYLVGihHsAAAAAAJAQFIACAAAAAEQcglkAAAAAQMQhmAUAAAAARByCWQAAAABAxCGYBQAAAABEHILZTKBDhw7hbgIAAAAApCiCWQAAAABAxCGYBQAAAABEHIJZAAAAAEDEIZjNBBYsWBDuJgAAAABAisqWsrtDevTT7kPWYtjr4W4GADNbPOpurgMAAEAKIDMLAAAAAIg4BLMAAAAAgIhDMAsAAAAAiDhpHsxOmzbNoqKi/I+cOXNaxYoVrV+/frZ//363ztatW+3RRx+1WrVqWb58+axEiRLWpk0b27BhQ6KO1b9/f3eM7du3x7rO0KFD3TrLly+3LFmy2OOPPx5yveeff96tN3HixGjtj+1Rrlw5/7ZHjhyxPn36WNGiRS1Pnjx2/fXX2zfffBPjGA899JDVrl3bChUqZLlz57bKlSvbiBEj7Pjx44k6bwAAAADI6MJWAGrkyJFWvnx5O336tK1atcomT55sixYtsk2bNtlrr71mU6dOtVtvvdX69u1rR48etSlTplj9+vXtk08+sebNmyfoGLfffruNHz/eZs2aZcOHDw+5zttvv23Vq1e3Jk2a2H333Wdjx461Hj16WNWqVf3r7Nq1y7W3c+fO1rp1a5s+fXq0ffTu3dvq1avnAlZP3rx53fOFCxdcIP7dd9/Z4MGDrUiRIjZp0iRr2rSpff3111ahQgX/NuvXr7frrrvOevXq5YL8jRs32pgxY+yzzz6zFStWuGAbAAAAAGAW5fP5fGmdmVWwpsCtTp06/uUPP/ywjRs3zgWeytRWqlTJHxDKn3/+6TKVek3Bb0IpWMyWLZtt2bIlxmtr1661hg0buoBxyJAhLmjWMS677DJbuXKly7BK+/btXTCpfShLHEzt7NSpkzu3YHPmzLGuXbva3Llz3Tpy8OBBdx4KjHW+cVFw/cgjj7i2KphPjM2bN1u1atWs5/0DbV/h6onaFkDqoJoxAADIDDb//1hEycrARGFKSjepvmbNmrnnnTt32tVXXx0tkJXChQu7rGWooDS+7Ky6LYfq1qtAUgFr9+7d3dcFChSwl19+2VavXu2ywzJ//nz74IMPXMAbKpCNz7vvvmvFixe3jh07+pepu3GXLl1s4cKFdubMmTi397orq6tyXA4cOOBumMBHXN2rAQAAACCSpZtgdseOHf6gNTb79u1z3XQTG8xKcAb0n3/+cVlTBchlypTxL1dXYnULVqb2l19+sQEDBrjsrbogJ4W6CmscbHAXYXVLPnnypG3bti3a8vPnz9uhQ4dsz549tnjxYhs2bJgbN6z146Kuy/rkI/DRoUMH99ofF/Ilqe0AAAAAkF6FLZhVl14Fbbt377bZs2e7Mam5cuWytm3bhlxf3X7V1VZddhND3Yzr1q3rjqHxqx6NQ1U20wt2A6nI09mzZ912CqA1XtfrcpxYe/fuDZnR9ZYpaA2kIlfK3JYqVcpatmxp6gX+/vvvu6JQcdHYYqXwAx8LFixwr52yi5LUdgAAAABIr8JWACq4iFPZsmVt5syZLogLpqDztttucwWjVOU4sVTQSRlWjXtV4SUvU5s9e3aXiQ2mtjz11FPuWMrQKsuZVKdOnbIcOXLEWK4CT97rgapUqWJLliyxEydO2Jo1a1zQnZBqxsWKFXMPAAAAAMgMwhbMKvupIkgqzqQxpSr4FKpar4I6ZWuPHTvmCj8Fj6VNiG7dutmgQYNcAKtgVhWUNRZWBZgKFiwYchtlZSWwSFVSKNscalys2uC9Hih//vz+QP/mm292bdazxvzWrFkzWW0BAAAAgIwibN2MNQZUQZuCS1UQDhXIqquvCid9//33rlhSUjOkyljeeOONNm/ePDt37pwr6KTgOFQX45Sm7sTqahzMW1ayZMk4t/cKR73zzjtJbkOpqL+TvC0AAAAApEfppgBUMI1vveOOO+zzzz932UnNA5scClwPHz5sH3/8sdufMqDt2rWz1FarVi2XVQ0cryvr1q2z3Llzu+x0XJTV1bYaY5xUuaLOJ3lbAAAAAEiP0m0w++CDD7qiTarSGzitTVKpsq+CR+1PAa326Y1bTU2aW3b//v323nvv+Zep8JXmnVUw7Y2n1dQ7yhoH86YISm53ZwAAAADISMI2ZjYu//nPf1zQ2aBBAxeAzpgxI9rrt9xyi+XJkydR+9RYWwW03hQ9adHF2Atm69evb7169bIff/zRTS2kc9PUQE8//bR/vWXLlln//v3d+qrArC7WquCsIFiBrIpYAQAAAADScTD77bffumdNxaNHsJ07dyY6mPUCWAWzGsfarFkzSwtZs2a1RYsW2eDBg+2VV15x1YtVXGratGmu6JWnevXqdv3117uxwRpPqyl5Lr/8chs+fLjbVpWXAQAAAAD/K8qnqAkZ0ubNm13RrFGjRtnQoUPD3RwAAAAAmSwW2bRpk1WtWjVzjZkFAAAAACCiuhknhLrrxlfht1ChQnTPBQAAAIAMKGKDWVU6VlGluCxdutTNYwsAAAAAyFgiNpht2bKlLVmyJM51atasmWbtSc+uvPLKcDcBAAAAAFJUxAazqkisB+JHMAsAAAAgo6EAFAAAAAAg4hDMAgAAAAAiDsFsJrB169ZwNwEAAAAAUhTBbCZAMAsAAAAgoyGYBQAAAABEHIJZAAAAAEDEIZgFAAAAAEQcglkAAAAAQMQhmAUAAAAARByCWQAAAABAxMkW7gYg9f20+5C1GPY6lxoZyuJRd4e7CQAAAAgjMrOZwCkfn1kAAAAAyFgIZjOBP3z5w90EAAAAAIjcYHbatGkWFRXlf+TMmdMqVqxo/fr1s/3797t1tm7dao8++qjVqlXL8uXLZyVKlLA2bdrYhg0bEnWs/v37u2Ns37491nWGDh3q1vn+++/txx9/tOzZs1uvXr1irHfkyBHXjmuuucZef/31aOcQ26NcuXLRtu/Tp48VLVrU8uTJY9dff7198803MY7z0EMPWe3ata1QoUKWO3duq1y5so0YMcKOHz+eqHMHAAAAgIwuLP1PR44caeXLl7fTp0/bqlWrbPLkybZo0SLbtGmTvfbaazZ16lS79dZbrW/fvnb06FGbMmWK1a9f3z755BNr3rx5go5x++232/jx423WrFk2fPjwkOu8/fbbVr16datRo4b7evDgwfbss8/aXXfdZU2aNPGv99hjj9nBgwft448/tvz589v06dOj7ad3795Wr149F7B68ubN654vXLjggvHvvvvO7b9IkSI2adIka9q0qX399ddWoUIF/zbr16+36667zgXUCvQ3btxoY8aMsc8++8xWrFhhWbKQSAcAAAAAifL5fL60zMwqUFPQVqdOHf/yhx9+2MaNG+cCT2VqK1Wq5A8G5c8//3RZSr2m4DehFChmy5bNtmzZEuO1tWvXWsOGDV2wOGTIELdMwXW1atXcNsrWKlOr9a699lqXNR07dmzI46itnTp1cucXbM6cOda1a1ebO3euW0cUGOtcWrdu7c45LjrmI4884tqhgD4xNm/e7M6nWZ8nLWvR/8sUAxkBBaAAAADSLy8WUcKyatWqqXKMdJHqa9asmXveuXOnXX311dECWSlcuLDLWIYKSuPLzqrbcqguvQoi1R24e/fu/mXKhipL/NNPP9lzzz1n586dc9nW0qVLu2xyUrz77rtWvHhx69ixo3+Zuht36dLFFi5caGfOnIlze6+7sroqJ1WpLMeSvC0AAAAApEfpIpjdsWOHP2iNzb59+1wX3cQGsxKc/fznn39cxlQBcpkyZaK9duONN7oAV8GsxvLqkwR1V9ZY16RQV2GNgw3uIqxuySdPnrRt27ZFW37+/Hk7dOiQ7dmzxxYvXmzDhg1zY4e1flwOHDjgPv0IfMQ1XhgAAAAAIllYglmNg1XAtnv3bps9e7bLeubKlcvatm0bcv2VK1e6brbqrpsY6mZct25ddwyNXfVoDKqCPy/YDfbSSy+5AkyvvvqqdejQwdq3b29JtXfvXlc8Kpi3TEFrIBW6Uua2VKlS1rJlS1Mv8Pfff98VhYqLxuEqjR/4UNsBAAAAICMKSwGo4CJOZcuWtZkzZ7oALpiCzttuu80VjFKV48Tq0aOHDRgwwBVQUtElL1Or8bCdO3cOuY0CWT3++usva9GihSXHqVOnLEeOHDGWq0uz93qgKlWq2JIlS+zEiRO2Zs0aF3gnpJqximUFn48yswS0AAAAADKisASzEydOdAWQVGhJ40lV8ClUpV4FdMrWHjt2zBV+Ch5LmxDdunWzQYMGuQBWwayKPM2fP98VXypYsGCsU/aoW7OKTj311FNuH7GtGx9lnEONi1U7vNcDqVqyF+zffPPNrt161rjfmjVrxnqcYsWKuQcAAAAAZAZh6Was8Z8K2BRcKmAMFciePXvWFU1SVWEVSlK32aRQgKdxsPPmzXMFnT744AMXHMfWxVjdfBVsP/jgg/bOO++47KxX7Tgp1J1YXY2DectKliwZ5/Ze4Si1BQAAAACQjgpABdP41jvuuMM+//xzl5kMnPM1KRS4Hj582M0Tq/0p+9muXbsY66kwlKoXK8DUOF7NP6suypr7VmN2k6JWrVouqxo4ZlfWrVvnujIrQx0XZXW1rcYZAwAAAADScTCrrKiKNqmoUeCUNkmlcaMKHLU/BbTapzdmNdArr7ziqg/rWRWE5emnn7ZLL73U7r//fldpOLE0t+z+/fvtvffe8y9T8SvNO6uA2htPq6l3lDkOpkBaAuflBQAAAIDMLixjZuPyn//8xwWdDRo0cAHojBkzor1+yy23JHqaHI21VUDrTdETqovx77//bsOHD3cBpo7h0bFefvllFwDr+eGHH050MFu/fn3r1auX/fjjj256IZ2fssAKlD3Lli2z/v37u/VVhVndrFXFWUGwAlkVsgIAAAAApNNg9ttvv3XP6tYbqmvvzp07kzTnqwJYBbMaw9qsWbOQ2WBNgzNhwoQYrym4VSGqESNGWJcuXax06dIJPm7WrFlt0aJFNnjwYJfxVfViTRc0bdo0V/jKU716dbv++uvd+GCNp1VbLr/8chdga1tVX06q7RcKWeJLZwEAAABA+hXlU9SEDGnz5s2ucNamTZusatWq4W4OAAAAgExicxrEIulyzCwAAAAAABHVzTgh1FU3vuq+hQoVSlbXXAAAAABA+hWRmVlVOtbY17gea9asCXcz040FCxaEuwkAAAAAkKIiMjPbsmVLW7JkSZzr1KxZM83aAwAAAABIWxEZzHrZVwAAAABA5hSR3YwBAAAAAJkbwSwAAAAAIOIQzAIAAAAAIg7BLAAAAAAg4hDMAgAAAAAiDsEsAAAAACDiEMxmAo0aNQp3EwAAAAAgRRHMZgJFihQJdxMAAAAAIEURzAIAAAAAIg7BLAAAAAAg4mQLdwOQ+kaMn2ZHi1TmUiNdWTzq7nA3AQAAABGMzGwmkCvqfLibAAAAAAApimAWAAAAABBx0jyYnTZtmkVFRfkfOXPmtIoVK1q/fv1s//79bp2tW7fao48+arVq1bJ8+fJZiRIlrE2bNrZhw4ZEHat///7uGNu3b491naFDh7p1li9fblmyZLHHH3885HrPP/+8W2/ixInR2h/bo1y5cv5tjxw5Yn369LGiRYtanjx57Prrr7dvvvkm2v7//PNPe+GFF6xx48ZuvYsvvtjq169vs2fPTtQ5AwAAAEBmELYxsyNHjrTy5cvb6dOnbdWqVTZ58mRbtGiRbdq0yV577TWbOnWq3Xrrrda3b187evSoTZkyxQV3n3zyiTVv3jxBx7j99ttt/PjxNmvWLBs+fHjIdd5++22rXr26NWnSxO677z4bO3as9ejRw6pWrepfZ9euXa69nTt3ttatW9v06dOj7aN3795Wr149F7B68ubN654vXLjgAvHvvvvOBg8e7KbJmTRpkjVt2tS+/vprq1Chgltv7dq1LrC+6aabbNiwYZYtWzabN2+edevWzX788Ud7+umnk3SdAQAAACAjivL5fL60zsz26tXL1q9fb3Xq1PEvf/jhh23cuHEu8FSmtlKlSv6A0MtcVq5c2b2m4DehFCwqMNyyZUuM1xRANmzY0MaMGWNDhgxxQbOOcdlll9nKlStdhlXat29vK1ascPtQljiY2tmpUyd3bsHmzJljXbt2tblz57p15ODBg+48FBjrfGXnzp0uM1y2bFn/tvrWKHBfvXq1O39ldRNj8+bNVq1aNet5/0DbV7h6orYFUhsFoAAAADIuLxZRsjIwUZghx8w2a9bMH9RdffXV0QJZKVy4sF133XUhg9L4srPqthzcrVcUSCpg7d69u/u6QIEC9vLLL7vgUdlhmT9/vn3wwQcu4A0VyMbn3XffteLFi1vHjh39y9SNuEuXLrZw4UI7c+aMW6YsdWAgK2pbhw4d3Dq//PJLoo8NAAAAABlVuglmd+zY4Q9aY7Nv3z7XTTexwax4GVDPP//847KmCpDLlCnjX66uxOoWrEytAsgBAwa47K26ICfFxo0brXbt2i7rGkjdkk+ePGnbtm2Lc3uds8R33gcOHHCffgQ+4horDAAAAACRLGzBrLr0Hjp0yHbv3u2KHGlMaq5cuaxt27Yh11e3X3ULVpfdxFA347p167pjaPyq57PPPnMBoBfsBlKRp7Nnz7rtFExqvK7X5Tix9u7dGzKj6y3bs2dPrNsePnzYZYgVcMeXFdY4XKXxAx/K6gIAAABARhS2YFZjQdXdtnTp0q7IkboVq0tvqVKlYqyroPO2225zXXFV5TixVNBJQbPGvXqUqc2ePbvLxAZTd9+nnnrKBZODBg1ygWFSnTp1ynLkyBFjuao4e6+HosBbgbYqIauIVXxUKEv90QMfCxYscK8d9uVKcvsBAAAAID0KWzVjZT9VBEnFmTSmVAWfgrviyokTJ1y29tixY67wU/BY2oRQsKygVAGsqgirgrICZxVgKliwYMhtlJWVwCJVSaFsszcuNpDa4L0eyoMPPugqN7/11ltWs2bNeI9TrFgx9whFwWzirxoAAAAApF9hC2Y1ZjS+QFFdfVU46fvvv7dPP/00yRlSBXk33nijm+pGQbQKOik4DtXFOKWpe7C6GgfzlpUsWTLGa5qGR92GVXSqZ8+eqd5GAAAAAIg06aYAVKhutnfccYd9/vnnLqOqeWCTQ4Grug1//PHHbn/58+e3du3aWWqrVauWq6QcOF5X1q1bZ7lz53bZ6UAKtkeMGGEDBw50RagAAAAAABEUzKqbrYo2KUMZOK1NUqkYkoJH7U8BrfbpjVtNTZpbdv/+/fbee+/5l6nwleadVTAdOJ5W59u/f38XeGvO3ZRSKCr0uFwAAAAAiFRh62Ycl//85z8u6GzQoIELQGfMmBHt9VtuucXy5MmTqH1qrK0CWm+KnrToYuwFs/Xr17devXrZjz/+6KbY0blpaiB1J/Z89dVXLhOtqYluuOEGmzlzZrT9aHqgyy67LMnB7P9O8AMAAAAAGUO6DGa//fZb96ypePQItnPnzkQHs14Aq2BW41ibNWtmaSFr1qy2aNEiGzx4sL3yyiuuerGKS02bNs0VvfIo0NUY4YMHD9rdd98dYz9vvPFGkoNZAAAAAMhoonw+ny/cjUDq2Lx5syuaNWrUKBs6dCiXGQAAAECaxiKaMrRq1aqZa8wsAAAAAAAR1c04IdRd9+jRo3GuU6hQIcuePXuatQkAAAAAkDYiNphV5V8VVYrL0qVLrWnTpmnWJgAAAABA2ojYYLZly5a2ZMmSONepWbNmmrUHAAAAAJB2IjaYVUViPQAAAAAAmQ8FoDIBzW0LAAAAABkJwWwm0KhRo3A3AQAAAABSFMEsAAAAACDiEMwCAAAAACIOwWwmcOjQoXA3AQAAAABSFMFsJrBq1apwNwEAAAAAUhTBLAAAAAAg4hDMAgAAAAAiDsEsAAAAACDiEMwCAAAAACJOtnA3AKnvp92HrMWw17nUSFWLR93NFQYAAECaITMLAAAAAIg4BLMAAAAAgIhDMAsAAAAAyDzB7LRp0ywqKsr/yJkzp1WsWNH69etn+/fv9683evRoa9++vRUvXtytN2LEiCQdb9myZdGOF/jo1q1bjPXnz59vrVu3tiJFilj27NmtZMmS1qVLF/viiy/c6/3793fbbt++PdZjDh061K3z/fff+5etWbPGGjVqZLlz57ZLLrnE7ef48ePRttu8ebN17tzZLrvsMree2tC4cWP74IMPYhyjadOm/vPIkiWL5c+f3ypVqmQ9e/a0JUuWWErYfqFQiuwHAAAAADJMAaiRI0da+fLl7fTp07Zq1SqbPHmyLVq0yDZt2uQCuWHDhrmg76qrrrJPP/002Q1W8Fi3bt1oy8qVK+f/v8/ns7vvvtsF2zrmoEGD3PH37t3rAtwbbrjBVq9ebbfffruNHz/eZs2aZcOHDw95rLffftuqV69uNWrUcF9/++23bvvKlSvbuHHjbPfu3fbiiy/azz//bB9//LF/u127dtmxY8fszjvvdEH0yZMnbd68eS6onzJlivXp0yfacS699FJ77rnn3P9PnDjhAuz33nvPZsyY4QJwPV900UXJvnYAAAAAkFEkO5hV9rNOnTru/71797bChQu7QG/hwoXWvXt327lzpws2Dx06ZEWLFk12g6+77jrr1KlTrK+PHTvWBbIDBw507VDGMzDTOn36dMuWLZvVq1fPrrjiChewhgpm165d69o+ZswY/7InnnjCChYs6LLEyqCKzu3ee++1xYsXW4sWLdyym266yT0CKWN99dVXuzYFB7MFChSwHj16RFum4ypwnzRpkjvG888/n+hrBQAAAAAZVYqPmW3WrJl7ViAYnDVNbadOnXIZziuvvNJlTAMDWY+67yqQFWVnt27dat98802M9ZSx1fYKyOXvv/923X4VdHqBrNxxxx2WN29emzNnTpxty5o1q5UuXdqOHDmSoHPR+q+88opVqVLFJkyYYEePHo1z/QMHDrjuzYGPuLpQAwAAAEAkS/FgdseOHe5ZGdrUoO67yvIGPi5cuOBeUzfnw4cP22233eaCwfgomPUC10D//POPC06VBS5Tpoxb9sMPP9j58+f9WWiPxuPWqlXLNm7cGGP/6jKs9umavPTSS64rsropJ5TOQcG0uinr3OKiDG61atWiPTp06OBeuyLL4QQfEwAAAAAyRTdjZQwVsGnMrMaiagxtrly5rG3btpYaNB42mNeVecuWLe5rjXNNiAoVKrjxt7Nnz7Z///vfrgCTfPbZZy7T+cwzz/jX1ZhbKVGiRIz9aNnKlStjLH/44YfdGFnRvjt27OiyrImhoDTwQ4LY9O3b1xWdCqTMrBfQAgAAAEBGkuxgtnnz5tG+Llu2rM2cOdNKlSplqUHjW5UxDaQCT15XYMmXL1+C96duwwMGDLAVK1a4ysJeplYZ18DgUF2YJUeOHDH2oUrO3uuBNG5X43v37NnjMr3K+J49e9YSQ12YvYx0XIoVK+YeAAAAAJAZJDuYnThxopuSR0WVNP2OppXxMpypQVnX4ADa441ljS/wC6RpfVTxWAGsglllmL1pfVTsyaNss5w5cybGPrSN93ogjd3VwxtbqwJR7dq1s3Xr1oUczxuKN+1PYgJ0AAAAAMjokh11qpiSgksFgpqyJjUD2fh4gaPGtyaUspk33nijmzrn3Llzbi5YBcPeeFqP173Y624cSMs0BU98lKVdv369bdu2LcHt0xRHosrLAAAAAID/Fb7IMxU0atTIZVM13Y669CaUAlcVjlKBJmVoleFVBjV47Kqyzxs2bIi2XN2GNf+sikDFx+uKHF9lYo/OQe3RfL06NwAAAABABgxmFfQNGTLEFYLSs8/ni7HOjBkz7Kuvvoq2TEWStK0qAiugVaEmjYMNngtWGWhtH9iNWfPWqitw4PhaFY8KpqzvW2+95boja7qdhASymmdW56LnwOmAAAAAACCzS/aY2fgo2Nu1a5ebXkZUaGnUqFH+OV9VMColDR482M2xOnbsWFu6dKnr2qsCUfv27bMFCxa4QHbNmjUxiiwpoPWm6AnuYuwZPXq0NWzY0Jo0aWJ9+vSx3bt3u+NoLGyrVq386913332uGFXjxo1dISwdW0WxNKet1veKOnmUqVWQLLpOqkL83nvvuQrGGtMbWFUZAAAAAJAGwezUqVNt+fLl/q8VYOoh6jqb0sGsxuwqA3rzzTfbq6++ai+++KILLIsWLeqCS03B06BBgxjbKYBVMKuxsc2aNQu579q1a7tpe5T1feihh1xRpnvuuceee+65aOt17drVnffkyZPtzz//dOtdffXV9vzzz1v79u1j7FdBsQJ7UaCrNqiN2l7jeZOr0qVF7K2hMac0AgAAAIBIFeUL1RcXGYIy1Brru2zZMpdNBgAAAIC0jEVU0LZq1aqpcowMNWYWoRUpUoRLAwAAACBDSfVuxgmp8Btfdd9ChQpZ9uzZ06xNAAAAAID0LezB7OzZs61Xr15xrqMxtprHFgAAAACAdBHMtmzZ0pYsWRLnOjVr1kyz9mREq1atSrV+6gAAAACQKYNZVe7VA6nn0KFDXF4AAAAAGQoFoAAAAAAAEYdgFgAAAAAQcQhmAQAAAAARh2AWAAAAABBxCGYBAAAAABGHYBYAAAAAEHEIZgEAAAAAEYdgNhO48sorw90EAAAAAEhRBLOZAMEsAAAAgIyGYBYAAAAAEHGyhbsBSH33vvKe5S26jkuNZFs86m6uIgAAANIFMrOZQKGoU+FuAgAAAACkKILZTIBgFgAAAEBGk+xgdtq0aRYVFeV/5MyZ0ypWrGj9+vWz/fv3+9cbPXq0tW/f3ooXL+7WGzFiRJKOt2zZsmjHC3x069Ytxvrz58+31q1bW5EiRSx79uxWsmRJ69Kli33xxRfu9f79+7ttt2/fHusxhw4d6tb5/vvv/cvWrFljjRo1sty5c9sll1zi9nP8+PFo223evNk6d+5sl112mVtPbWjcuLF98MEHcV7D2B6//vprkq4ZAAAAAGQ0KTZmduTIkVa+fHk7ffq0rVq1yiZPnmyLFi2yTZs2uUBu2LBhLui76qqr7NNPP0328RQ81q1bN9qycuXK+f/v8/ns7rvvdoGijjlo0CB3/L1797oA94YbbrDVq1fb7bffbuPHj7dZs2bZ8OHDQx7r7bffturVq1uNGjXc199++63bvnLlyjZu3DjbvXu3vfjii/bzzz/bxx9/7N9u165dduzYMbvzzjtdEH3y5EmbN2+eC+qnTJliffr0cespwJ0+fXrIY//xxx/2+OOPu3MrVqxYsq8bAAAAAGQEKRbMKvtZp04d9//evXtb4cKFXaC3cOFC6969u+3cudMFZIcOHbKiRYsm+3jXXXedderUKdbXx44d6wLZgQMHunYosxmYaVXwmC1bNqtXr55dccUVLmANFcyuXbvWtX3MmDH+ZU888YQVLFjQZYnz58/vlunc7r33Xlu8eLG1aNHCLbvpppvcI5Ay1ldffbVrkxfMKnOrR7B//vnHmjVr5tqp9ulDAQAAAABAKo6ZVRAmCgSDs6ap7dSpU/bcc8+5+VWVMQ0MZD09e/Z0gawoO7t161b75ptvYqynjK22V0Auf//9ty1ZssR69OjhD2TljjvusLx589qcOXPibFvWrFmtdOnSduTIkXjP4+mnn7YVK1bYqFGj7JprrknQuQMAAABAZpBqU/Ps2LHDPStDmxrUfVdZ3kCFChWyLFmyuG7Ohw8fdllZBY/xUTCrwFGBa+3ataNlRhWcKgtcpkwZt+yHH36w8+fP+7PQHo3HrVWrlm3cuDHG/k+cOOEC7KNHj9r777/vuiJ37do1zjZpTK/GGbds2dIGDx4c7zkcOHDADh48GG1ZXOOAAQAAACCSpVgwq0BNwaXGzGosqsbQ5sqVy9q2bWupQeNhg3ldmbds2eK+1jjXhKhQoYIbfzt79mz797//7QJi+eyzz1yQ+Mwzz/jX1ZhbKVGiRIz9aNnKlStjLH/44YfdGFnRvjt27GgTJkyItT06pjK/GiP71ltvhcwsB5s0aZILyAEAAAAgM0ixYLZ58+bRvi5btqzNnDnTSpUqZalB41uVMQ2kAk9eV2DJly9fgven4HHAgAGuW2/Tpk3dMmVqlXFVRWKPMqySI0eOGPtQJWfv9UDKEGt87549e1ymVxnfs2fPhmyHClepy7IqQatQVkKLPvXt2zdaO73MbIcOHRK0PQAAAABkymB24sSJbkoeFSvS9DuVKlXyZzhTg7KuwQG0xxvLqq7ICaVpfVTxWAGsglllmL1pfVTsyaNss5w5cybGPrSN93ogjd3VQxSoqkBUu3btbN26dTGyrs8//7wLYlXBOLbzC0VBb2yB7ylfqvUmBwAAAICwSLFoU8WUFHwpENSUNakZyMbHCxw1vjWhFAjeeOONbuqcc+fOublgFQxrPG0gr3ux1904kJZpCp74KEu7fv1627ZtW4zKyU8++aQ1bNjQddNOKX/4/q9QFQAAAABkBOGLOFNRo0aNXDZV09moS29CKXBV4SgVaFKGVhleZVADVatWzWWfN2zYEG25ug1r/lkVgYqP1xVZ44w9f/31l8sOqyKyjq1jAAAAAAAyUTCr+ViHDBniCkHpWeNQg82YMcO++uqraMs0vlTbqpiSAloVatI42EAFChRwGWhtH9iNWfPWHj9+PNq4VRVyCqasr4o6qTtylSpVohW0+u2332zq1KluvDEAAAAAIHZplv5TsLdr1y47efKk+9qbP9Wb8zWlAzhNZ7N582YbO3asLV261HXtVYGoffv22YIFC1wgu2bNmmjbKCuqgFaZUQnuYuzRlDnqCtykSRPr06eP7d692x1HY2FbtWrlX+++++5zxagaN27sCmHp2CqKpTlttb6OJ//9739dm2rUqOGujwLlUNQNWuOREyuXnUv0NgAAAACQnqVZMKuM4/Lly/1fK8DUw+sWnNLBrMbsKgN6880326uvvmovvviiCyyLFi3qgktNwdOgQYMY2ymAVTCrsbHNmjULuW/NRatpe5T1feihh1zV5Hvuuceee+65aOtpLlmd9+TJk+3PP/9061199dWuyFP79u3963355Zfu+fvvv3eBfWx0vZISzJbKcsz2JXorAAAAAEi/onyh+uAiQ1BmWmN8lQEfOnRouJsDAAAAIJPFIps2bbKqVaumyjEy5JhZAAAAAEDGlm5K5qrCb2B131AKFSpk2bNnT7M2AQAAAADSp3QTzM6ePdt69eoV5zoaM6p5bAEAAAAAmVu6CWZbtmxpS5YsiXOdmjVrpll7AAAAAADpV7oJZlU9WA8AAAAAAOJDASgAAAAAQMQhmAUAAAAARByC2UygQ4cO4W4CAAAAAKQoglkAAAAAQMQhmAUAAAAARByCWQAAAABAxCGYzQQWLFgQ7iYAAAAAQIoimAUAAAAARByCWQAAAABAxCGYBQAAAABEnGzhbgBS30+7D1mLYa9zqTOoxaPuDncTAAAAgDRHZhYAAAAAEHEIZgEAAAAAmSeYnTZtmkVFRfkfOXPmtIoVK1q/fv1s//79/vVGjx5t7du3t+LFi7v1RowYkaTjLVu2zG3/7rvvxrvu6dOn7aWXXrJrrrnGChQoEK1t27Ztc+vUqFHDypQpYz6fL9b9XHvtta7d58+f9y+bOnWqVa5c2e2zQoUKNn78+Bjb/fTTT/bQQw9Zw4YN3Xpq96+//hryGIHXMFu2bFaoUCG7+uqrbcCAAfbjjz8m8OoAAAAAQOaS7MzsyJEjbfr06TZhwgQXvE2ePNkaNGhgJ0+edK8PGzbM1q9fb1dddZWlhUOHDlmjRo1s0KBBVqxYMde+iRMnWocOHez999+3atWqufVuv/12+/33323lypUh96Pgc+3atda1a1cXZMqUKVOsd+/eVrVqVRfE6jz79+9vzz//fLRttd0rr7xix44dc4FvfG688UZ3Dd944w3X3tq1a9ubb75pNWvWtHHjxqXIdQEAAACAjCTZBaBat25tderUcf9XoFe4cGEXgC1cuNC6d+9uO3futHLlyrkgs2jRopba7rrrLtu4caPL4N56663RXnvmmWds6NCh7v+33XabPf744zZr1ixr3LhxjP28/fbbLmuroFdOnTrltm3Tpo0/O3zvvffahQsX3H779OljBQsWdMuViT5y5Ijly5fPXnzxRfv222/jbLOyxj169Ii2bMyYMdauXTt7+OGH7corr7Sbbropydfkjwv5LGuStwYAAACATDBmtlmzZu5ZQawokE0r69ats48++sjuueeeGIGs5MiRwwWXUrp0aRfEKjA9d+5cjHUV5F5++eWuq7IsXbrU/vzzT+vbt2+09R544AE7ceKEO65HXYUVyCaHPhR45513XFZYXbWT45RdlKztAQAAACDDB7M7duzwB2NpTd2IpWfPnglaX1lXBaiffvpptOU//PCDbdq0yZ+VFWV7xctCezS+NUuWLP7XU5LG9DZp0sS+/PJL+/vvv+Nc98CBA7Z58+Zoj+3bt6d4mwAAAAAgQwSzR48edV2Id+/ebbNnz3ZjPnPlymVt27a1tLZlyxb3XL169QSt36lTJ5etVRY2kPd1YDC7d+9ey5o1qxuHGyh79uwucN+zZ4+lBo3xVVfm2ApIeSZNmuTWDXxonDAAAAAAZETJHjPbvHnzaF+XLVvWZs6caaVKlbK05mUvE9rFV2NcNRZVGV11Fc6TJ48bJ6vuvcrAaiyrR2NmFbiGoorFej015M2b1z2rmFRc1P25c+fO0ZYpM6uAtlTU33bU0v77AQAAAADpNphVpWAFfRrbqWlsKlWq5LrdhkP+/Pn9gd/FF1+coG2UfZ0/f74rWKWiUGvWrHFZUE2NE0jZ5rNnz8Y6FZBeTw3Hjx9PUICujHFw1tiTK+q8HU2V1gEAAABAeCQ76qxXr57LzjZt2tRNQxOuQFZU9dcb85pQ6g6tuWi9rsV6Vnfibt26RVuvRIkS9s8//7ixqYEU4GrcbcmSJS01aOyu2lO+fPlU2T8AAAAARKLwRZ6pQFPZyIwZMxK8jcbMauzs4sWLbf/+/TZ37lxXkfmSSy6Jtl6tWrXc84YNG6It19ca0+q9npJ+++03W758uZvPNrnVkQEAAAAgI8lQwayCvlatWtlrr71mCxYsiPG6sqiPPPJIyK7Gmp7nvvvus4MHD0Yr/ORRgKspdyZPnhxtub7OnTu3m382JR0+fNjN06tssDc3LgAAAAAghcbMxmf69Om2a9cuO3nypPt6xYoVNmrUKP8UOioYlRjz5s2zrVu3xlh+5513urlj33rrLWvRooV17NjRZWpvuOEGV9jp559/doWdVJXYm2vWo+lvLr30UjduVmNftW0wLX/mmWfcvLIqtNSyZUtbuXKlywJrHlgFuoEVnsePH+/+v3r1avc8YcIEN45Xj379+kXb97Zt29x+VHxKRay+++47lyHWeNlx48a5AB0AAAAAkIbB7NSpU11XWc/SpUvdQxo1apToYFYBaSgas6tgtmjRoq6Ik6aq0VRBymoqI6vjtG/fPkZhJ9E4X2VBX3jhBRcAx9alVxWDL7roIhs7dqyrgKzjvfTSSzH2+ddff9mTTz4ZbZm2EbUjOJhdsmSJe6gdKmKl8bEKzvv06WNVqlRJ1PUBAAAAgMwgyqd0IDKkzZs3u/lmlQmnqzIAAACAtI5FVNC2atWqqXKMDDVmFgAAAACQOaR6N+P4nDp1yo0xjYvGo2bPnj3N2pTReFMWAQAAAEBGEfZgVuNae/XqFec6GmOrMbFIGoJZAAAAABlN2INZVQVW8aO41KxZM83aAwAAAABI/8IezJYoUcI9AAAAAABIKApAZQKh5uUFAAAAgEhGMJsJEMwCAAAAyGgIZgEAAAAAEYdgFgAAAAAQcQhmAQAAAAARh2AWAAAAABBxCGYBAAAAABGHYBYAAAAAEHEIZgEAAAAAEYdgNhMoUqRIuJsAAAAAACkqW8ruDunRm98csHnDXg93M5BCFo+6m2sJAACATI/MLAAAAAAg4hDMAgAAAAAiTroPZqdNm2ZRUVH+R86cOa1ixYrWr18/279/v3+90aNHW/v27a148eJuvREjRiTpeMuWLYt2vMBHt27d7K677or19cCH1vNs2bLFWrVqZXnz5rVChQpZz5497eDBg9GOu2fPHuvRo4dVqlTJ8uXLZxdffLHVq1fP3nzzTfP5fMm4gma57FyytgcAAACA9CZixsyOHDnSypcvb6dPn7ZVq1bZ5MmTbdGiRbZp0ybLnTu3DRs2zC655BK76qqr7NNPP0328fr3729169aNtqxcuXKWNWtWa968uX/Zzp07bfjw4danTx+77rrr/Msvv/xy97x7925r3LixFShQwJ599lk7fvy4vfjii/bDDz/YV199ZdmzZ3frHTp0yK3bqVMnK1OmjJ07d86WLFniguKffvrJbZtUpbIcs31J3hoAAAAA0p+ICWZbt25tderUcf/v3bu3FS5c2MaNG2cLFy607t27u6BSwaaCwqJFiyb7eApMFViG0qBBA///N2zY4IJZLVNmNZiC0BMnTtjXX3/tglRRxvXGG290WWcFwVKjRg2XFQ6k7HO7du3slVdesWeeecYF0gAAAACACOhmHJtmzZq5ZwWxokA2PZo3b561bdvWH8iKMrvqKj1nzpx4t9d5nTx50s6ePZvKLQUAAACAyBExmdlgO3bscM/K0KaGY8eOuSxvII13zZIl4fH/H3/8YQcOHPBnlAMpO6tu0sFOnTrlMrnqjrx8+XJ74403XNY3V65ccR5Lxwkeh7t9+/YEtxUAAAAAIknEBLNHjx51waXGzK5evdqNoVWAp6xnarj77phzeXpdmRNq79697rlEiRIxXtOyw4cP25kzZyxHjhz+5S+//LI9/vjj/q9vuOEGF9DGZ9KkSfb0008nuG0AAAAAEMkiJpgNLLokZcuWtZkzZ1qpUqVS5XgaBxtY0ElUYCoxlGWVwGDVo6rM3jqBr2v8rzK5yrJ++OGHrmKzt5+49O3b1zp37hwjM9uhQ4dEtRkAAAAAIkHEBLMTJ05040yzZcvmpt/RFDaJ6fKbWNWrV48RQCeW1zVY2ddgyjAHrhMYpOvhBbYqEKV2qKJxXF2NixUr5h4AAAAAkBlETAEojTFVUNe0aVOrXLlyqgayKcXrXux1Nw6kZRqDGyprG0gVlX///XdbsWJFqrUTAAAAACJN+o8II5i6QGuaIE3fE0xzzNaqVSvefXhdjDVmGAAAAADwvwhmU9mtt97qxr4qu+r5/PPPbdu2bdHGuAZXIvZMnTrVoqKirHbt2kluw/YLhZK8LQAAAACkRxEzZjY+06dPt127drk5WUXdckeNGuX+37NnT/841LT2xBNP2Ny5c+3666+3AQMGuCl3XnjhBTcmt1evXv71Ro8e7ao0t2rVys1Jq0rHmqN2/fr19uCDD9oVV1wRlvYDAAAAQHqUYYJZZTA1L6tn6dKl7iGNGjUKWzBbunRp165BgwbZY489ZtmzZ7c2bdrY2LFjo42X1TLNnfv666+7LK2qHdeoUcNNy3PnnXeGpe0AAAAAkF5F+Xw+X7gbgdSxefNmq1atmm3atMmqVq3KZQYAAACQYWIRxsxmAgsWLAh3EwAAAAAgRWWYbsYJqQocX0VgTZWjbsAAAAAAgPQt0wSzs2fPjlZwKRSNsdU8tgAAAACA9C3TBLMtW7a0JUuWxLlOzZo106w9AAAAAICkyzTBbIkSJdwDAAAAABD5KAAFAAAAAIg4BLMAAAAAgIhDMAsAAAAAiDgEswAAAACAiEMwmwk0atQo3E0AAAAAgBRFMJsJFClSJNxNAAAAAIAURTALAAAAAIg4BLMAAAAAgIhDMJsJrFq1KtxNAAAAAIAURTCbCRw6dCjcTQAAAACAFEUwCwAAAACIONnC3QCkvp92H7IWw17nUmcQi0fdHe4mAAAAAGFHZhYAAAAAEHEIZgEAAAAAEScswey0adMsKirK/8iZM6dVrFjR+vXrZ/v37/evN3r0aGvfvr0VL17crTdixIgkHW/ZsmXRjhf46Natm911112xvh740HqeLVu2WKtWrSxv3rxWqFAh69mzpx08eDDacffs2WM9evSwSpUqWb58+eziiy+2evXq2Ztvvmk+ny9B7Qt8aD0AAAAAQJjHzI4cOdLKly9vp0+fdtPHTJ482RYtWmSbNm2y3Llz27Bhw+ySSy6xq666yj799NNkH69///5Wt27daMvKlStnWbNmtebNm/uX7dy504YPH259+vSx6667zr/88ssvd8+7d++2xo0bW4ECBezZZ5+148eP24svvmg//PCDffXVV5Y9e3Z/FWGt26lTJytTpoydO3fOlixZ4oLin376yW0rlStXtunTp4dss/Y9cOBAy5Urlwv4AQAAAABhDmZbt25tderUcf/v3bu3FS5c2MaNG2cLFy607t27u6BSwaaCwqJFiyb7eApMFViG0qBBA///N2zY4IJZLVNmNZiC0BMnTtjXX3/tglRRxvXGG290WWcFwVKjRo0Y2VRln9u1a2evvPKKPfPMMy6QVuY51HFEy8+cOWOzZs2ykiVLJuv8AQAAACCjSFdjZps1a+aeFcSKAtn0aN68eda2bVt/ICvK7CpzOmfOnHi313mdPHnSzp49G+d6r7/+us2cOdP+9a9/WceOHZPc3sO+XEneFgAAAADSo3Q1Nc+OHTvcszK0qeHYsWMuyxtI412zZEl4TP/HH3/YgQMH/BnlQMrOqpt0sFOnTrlMrroML1++3N544w2X9VXX4dhoTO6DDz7osrvKVsdHbQoes7t9+3Z/MJs3gecHAAAAAJEgrMHs0aNHXXCpMbOrV692Y2gV4CnrmRruvjvm/JxeV+aE2rt3r3suUaJEjNe07PDhw65bcI4cOfzLX375ZXv88cf9X99www0uoI2Ngt8uXbq4/8+ePdsVyIrPpEmT7Omnn07weQAAAABAJAtrMBtYdEnKli3rutWWKlUqVY6ncbCBBZ1EBaYSQ4GmBAarHi/o1DqBr2v8rzK5ypx++OGHrmKzt59QBgwY4IpgTZ061a688soEtatv377WuXPnGJnZDh06JPjcAAAAACBShDWYnThxohtnmi1bNlcESVPYJKbLb2JVr149RgCdWF7XYGVfgynDHLhOYJCuhxfYqkCU2qGKxsHrKhP7P//zP269UJnk2BQrVsw9QikUdcriHp0LAAAAAJElrAWgNMZUQV3Tpk3d9DSpGcimFK97sdfdOJCWaQxuqKxtIFVU/v33323FihUxxgwr0NUUQFOmTEmxNiuYBQAAAICMJP1Hj+mMukBrmiBN3xNMc8zWqlUr3n14XYw1ZtijysZdu3Z12d133nnH8uXLl8ItBwAAAICMg2A2CW699VY39lXZVc/nn39u27ZtizZuNbi6sEdjYaOioqx27dr+ZY8++qibt/a5554LWSkZAAAAAJBOp+YJNn36dNu1a5ebk1XULXfUqFHu/z179vSPQ01rTzzxhM2dO9euv/56V6xJU+688MILbkxur169/OuNHj3aVWlu1aqVm5NWlY41R+369evdtDtXXHGFW+/jjz92FY9Llizpsr4zZswIedyGDRvaZZddlmbnCQAAAADpVboOZpXB1LysnqVLl7qHNGrUKGzBbOnSpV27Bg0aZI899phlz57d2rRpY2PHjo02XlbLNA729ddfd1laVTvWvLGalufOO+/0r7du3Tr3vGfPHrvjjjtiPa62I5gFAAAAALMon8/n40JkTJs3b7Zq1aq5bPbQoUPD3RwAAAAAmYQXi2jK0apVq6bKMRgzCwAAAACIOOm6m3FCqgIHVgQORVPlqBswAAAAACDjiOhgdvbs2dEKLoWiMbaaxzYzK1KkSLibAAAAAAApKqKD2ZYtW9qSJUviXKdmzZqW2alYFgAAAABkJBEdzJYoUcI9AAAAAACZCwWgAAAAAAARh2A2Ezh06FC4mwAAAAAAKYpgNhNYtWpVuJsAAAAAACmKYBYAAAAAEHEIZgEAAAAAEYdgFgAAAAAQcQhmAQAAAAARh2AWAAAAABBxCGYBAAAAABGHYBYAAAAAEHGyhbsBSH0/7T5kLYa9zqWOMItH3R3uJgAAAADpFpnZTGD7hULhbgIAAAAApCiCWQAAAABA5gtmp02bZlFRUf5Hzpw5rWLFitavXz/bv3+/f73Ro0db+/btrXjx4m69ESNGJOl4y5Ytc9u/++678a57+vRpe+mll+yaa66xAgUKRGvbtm3b3Do1atSwMmXKmM/ni3U/1157rWv3+fPn/cumTp1qlStXdvusUKGCjR8/PsZ2P/30kz300EPWsGFDt57a/euvv8ZY76677op2DUM9ypUrl4irBAAAAAAZW4qNmR05cqSVL1/eBZCrVq2yyZMn26JFi2zTpk2WO3duGzZsmF1yySV21VVX2aeffmqp7dChQ9aqVSv7+uuvrW3btnbbbbdZ3rx5XYD5zjvv2Kuvvmpnz56122+/3R577DFbuXKlNW7cOMZ+FHyuXbvWBcDZsv3v5ZoyZYrdf//9duutt9qgQYPctv3797eTJ0/akCFD/Ntqu1deecWqVKniAt9vv/02ZFvvu+8+a968ecjXPv/8c/eBQf369VPs2gAAAABApEuxYLZ169ZWp04d9//evXtb4cKFbdy4cbZw4ULr3r277dy502UXFWQWLVrUUpuynRs3bnQZXAWdgZ555hkbOnSo+7+C3Mcff9xmzZoVMph9++23XdZWQa+cOnXKbdumTRt/dvjee++1CxcuuP326dPHChYs6JYrE33kyBHLly+fvfjii7EGsw0aNHCPYHv37nXBctmyZd2HA0l1RZbDts9KJXl7AAAAAMg0Y2abNWvmnhXESlp2k123bp199NFHds8998QIZCVHjhwuuJTSpUu7IFaB6blz52KsqyD38ssvd12VZenSpfbnn39a3759o633wAMP2IkTJ9xxPYUKFXKBbFIoOFYA/ddff7k2eAEyAAAAACAVg9kdO3a4Z2Vo09r777/vnnv27Jmg9RU0KkAN7v78ww8/uG7SXlZWlO0VLwvtufrqqy1Lliz+15NLWV4Fzk8//bQbcxufAwcO2ObNm6M9tm/fniJtAQAAAIAMG8wePXrUdSHevXu3zZ49242hzZUrlxuvmta2bNninqtXr56g9Tt16uSytcqABvK+Dgxm1fU3a9asVqxYsWjrZs+e3QXue/bsSXb7ly9f7oLZG264wY3nTYhJkyZZtWrVoj06dOiQ7LYAAAAAQIYeMxtcwEjjPGfOnGmlSqX9WM2///7bPSe0i6+68N50000uo6uuwnny5HHjZFUoShlYVUD2aMysAtdQVLFYryeHPhDQOF4FxjNmzHDZ3oRQt+fOnTtHW6bMLAEtAAAAgIwoxYLZiRMnuqBPFX81jU2lSpUSHIiltPz587vnY8eO2cUXX5ygbZR9nT9/vitYpWByzZo1rpLxgAEDoq2nbLOqIIeiSs56PakUQN9xxx0u+/vxxx+76s8JpUxxcLYYAAAAADKqFIs269Wr57KzTZs2ddPQhCuQlSuvvNI/5jWh1B1ac9F6XYv1rO7E3bp1i7ZeiRIl7J9//nFjVAMpwNW425IlSya53SpKpSD2kUcesZYtWyZ5PwAAAACQ0YUv4kxF7dq1c8/qpptQGjOrsbOLFy+2/fv329y5c11F5uDsaK1atdzzhg0boi3X16pA7L2elArMmvJHVZNHjx6dpH0AAAAAQGaRIYNZzdnaqlUre+2112zBggUxXlcWVdnPUF2NNT3PfffdZwcPHoxW+MmjAFdT7gTP+6qvc+fO7eafTSzNRasMsLbXvLYXXXRRovcBAAAAAJlJio2Zjc/06dNt165ddvLkSff1ihUrbNSoUf4pdFQwKjHmzZtnW7dujbH8zjvvdHPHvvXWW9aiRQvr2LGjy9SqMrAKO/3888+usJPGpXpzzXqaNGlil156qRs3q7Gv2jaYlqvSsOaVVcEldQdeuXKlywIro6pAN7DC8/jx493/V69e7Z4nTJjgxvHq0a9fP7fs/vvvd+Nzu3bt6tbz1g3Wo0cPS4o/LuSzrEnaEgAAAAAyeTA7depUN+WMR3Oo6iGNGjVKdDCrgDQUjdlVMFu0aFFXxElT1miqIHXhVUZWx2nfvn2Mwk6icb7du3e3F154wQXAsVVDVuVgZU/Hjh3rKiDreC+99FKMff7111/25JNPRlumbUTt8ILZL7/80j2rnXrEJqnB7Cm7yPImaUsAAAAASJ+ifCqhiwxp8+bNbr7ZTZs2WdWqVcPdHAAAAACZxOY0iEUy5JhZAAAAAEDGlmbdjONz6tQpN8Y0LhqPmj179jRrU0axatUqMrMAAAAAMpR0E8xqrGivXr3iXEdjbDUmFolz6NAhLhkAAACADCXdBLOqCrxkyZI416lZs2aatQcAAAAAkH6lm2C2RIkS7gEAAAAAQHwoAAUAAAAAiDgEswAAAACAiEMwCwAAAACIOASzAAAAAICIQzALAAAAAIg4BLOZwJVXXhnuJgAAAABAiiKYzQQIZgEAAABkNASzAAAAAICIQzALAAAAAIg4BLOZwNatW8PdBAAAAABIUdlSdndIjxZ+tsqmbDwa7mYgERaPupvrBQAAAMSBzCwAAAAAIOIQzAIAAAAAIk6aBrPTpk2zqKgo/yNnzpxWsWJF69evn+3fv9+/3ujRo619+/ZWvHhxt96IESOSdLxly5ZFO54ehQoVsvr169vMmTNjrP/ss8+614oWLeraVqFCBRs4cKAdPHgwxroXLlywf//731a+fHm3bo0aNeztt98O2Y4tW7ZYq1atLG/evO74PXv2jLHPX3/9NUZbvcc777yTpPMHAAAAgIwqLGNmR44c6YLA06dP26pVq2zy5Mm2aNEi27Rpk+XOnduGDRtml1xyiV111VX26aefJvt4/fv3t7p167r///nnnzZ79mzr0aOHHTlyxB544AH/el9//bXVqlXLunXrZvny5XNB6P/8z//YRx99ZN9++63lyZPHv+7QoUNtzJgxdu+997p9L1y40G677TYXfGp7z+7du61x48ZWoEABFywfP37cXnzxRfvhhx/sq6++suzZs0dra/fu3e2mm26KtqxBgwbJvgYAAAAAkJGEJZht3bq11alTx/2/d+/eVrhwYRs3bpwLCBXM7dy508qVK2eHDh1yWdLkuu6666xTp07+r//1r3/ZZZddZrNmzYoWzM6bNy/Gtgokte0HH3zgD1L/+OMPGzt2rNt2woQJ/vNo0qSJDR482Dp37mxZs2Z1yxXAnjhxwgXKZcqUccvq1atnN954o8tU9+nTJ9rxateu7QJtAAAAAEA6HzPbrFkz96wgVhTIpiZlQwsWLGjZssUfy3ttURbXo6D73Llz1rdvX/8yZWQVJCsTu3bt2mgBctu2bf2BrDRv3tx1r54zZ07IYyr4PXv2bJLPDwAAAAAyunQRzO7YscM9K0ObGo4dO+ayvHps27bNjcFVl+Y777wzxro+n8+tt2/fPlu5cqXroqwsa9OmTf3rbNy40XU5rly5crRtlXH1XvcyuAcOHPBnoYPX9dYL9PTTT7uxtRqHq+7LixcvTtA56jibN2+O9ti+fXuCtgUAAACASBOWbsZHjx51AaPGzK5evdqNoc2VK5fLYKaGu++OPmdnlixZXJGp4OWiQlQlSpTwf33ppZe67shXXnmlf9nevXv9xakCedvt2bPHv17g8uB1Dx8+bGfOnLEcOXK4NrVo0cJuueUWK1WqlP3yyy+u67W6ZL///vvWpk2bOM9x0qRJLhAO5ZSP6YQBAAAAZCxhiXLUzTZQ2bJlXXVhBXGpYfjw4W7crCiAVHCoAk7Krg4YMCDauqo2vGTJEhdoK3P63nvvuaJNgU6dOuUC0GDKpnqvBz7Ht65eVzfk4GJXqnpcpUoVe/jhh+MNZtXlWWN1Aykz26FDB/vDl9/yxrk1AAAAAESWsASzEydOdGNGNWZVGc5KlSq5zGRqqV69erQAukuXLi47/Nhjj7kKxIFFpjSe1ltXmeIbbrjBrr32WitWrJg/c6wssjKqwRQAe68HPidk3VAUWPfq1ctVTdZYXGWJY6P26QEAAAAAmUFYxsxqvKgCRo1D1bjT1AxkY6MgVQGlpseJS8OGDV2X4MB5afW1xtRqfG0gr1txyZIl/esFLg9eV8FqqKxtoNKlS/szygAAAACAdFQAKhzOnz/vnoO7EIeioFeZXI/moj158qSbhzbQunXr/K+Luk0r67thw4YY+1QQ7a0XF42dleRMUZTLziV5WwAAAABIjzJtMPvhhx+655o1a/qnw1GAGkxT6/z111/RKhLffPPNdtFFF7miSx5laf/73/+6AFbZXM+tt97qjvX777/7l33++eeuqnLgGNeDBw/GOLaqIb/++utWo0aNkEWkEqpUlmNJ3hYAAAAA0qN0WeZ2+vTptmvXLn9wuWLFChs1apS/KJIKRiWGptjxxqh6BaCWL19u3bp181cp/vnnn13X565du7pl6vqsjOqMGTPcXLOBhaI0dnXgwIH2wgsvuPlmNYXOggUL3HHUHVlT+XieeOIJmzt3rl1//fVuH8oEazuN49V4WM+jjz7qpihS92d1U/71119typQpLsh++eWXk3lFAQAAACBjSZfB7NSpU12w6Vm6dKl7SKNGjRIdzL7yyivRCjxddtllbmqewYMHRwtQlUX94osv7M0333RBqo7Tr18/V/k4eA5cFWUqWLCgCzinTZtmFSpUcIGvCkoFj3nVuQwaNMgVnNLxVZl47Nix0cbLaloeZXZVHEuZ4IsvvtgaN25sw4YNs9q1ayfqfAEAAAAgo4vyBVcxQoaxefNmq1atmstqKyAHAAAAgLSMRTZt2mRVq1ZNlWNk2jGzAAAAAIDIlS67Gcfn1KlT0aoLh6Jpb9SlFwAAAACQ8URkMDt79uxoxZNC0RhbzWMLAAAAAMh4IjKYbdmypS1ZsiTOdbwpdwAAAAAAGU9EBrOaczU5864CAAAAACIbBaAygQ4dOoS7CQAAAACQoghmAQAAAAARh2AWAAAAABBxCGYBAAAAABGHYDYTWLBgQbibAAAAAAApimAWAAAAABBxCGYBAAAAABGHYBYAAAAAEHEIZgEAAAAAEYdgFgAAAAAQcQhmAQAAAAARJ1u4G4DU99PuQ9Zi2Otc6gixeNTd4W4CAAAAkO6RmQUAAAAARByC2Uzgjwv5wt0EAAAAAIjcYHbatGkWFRXlf+TMmdMqVqxo/fr1s/3797t1tm7dao8++qjVqlXL8uXLZyVKlLA2bdrYhg0bEnWs/v37u2Ns37491nWGDh3q1vn+++/txx9/tOzZs1uvXr1irHfkyBHXjmuuucZef/31aOcQ26NcuXLRtu/Tp48VLVrU8uTJY9dff71988030Y7x559/2gsvvGCNGzd261188cVWv359mz17tiXXKbso2fsAAAAAAMvsY2ZHjhxp5cuXt9OnT9uqVats8uTJtmjRItu0aZO99tprNnXqVLv11lutb9++dvToUZsyZYoL7D755BNr3rx5go5x++232/jx423WrFk2fPjwkOu8/fbbVr16datRo4b7evDgwfbss8/aXXfdZU2aNPGv99hjj9nBgwft448/tvz589v06dOj7ad3795Wr149F7B68ubN654vXLjggvHvvvvO7b9IkSI2adIka9q0qX399ddWoUIFt97atWtdcH3TTTfZsGHDLFu2bDZv3jzr1q2bC7SffvrpJFxpAAAAAMiYonw+ny8tM7PKfK5fv97q1KnjX/7www/buHHjXOCpTG2lSpX8waCXtaxcubJ7TcFvQilQVFC4ZcuWGK8peGzYsKGNGTPGhgwZ4pYpuK5WrZrbRtlaZWq13rXXXmsPPfSQjR07NuRx1NZOnTq58ws2Z84c69q1q82dO9etIwqMdS6tW7d25yw7d+60LFmyWNmyZf3b6luj4H316tXuGiirmxibN29259Ogz0jLW7RUorZF+FAACgAAAJFu8/+PRZSwrFq1asYdM9usWTN/QHf11VdHC2SlcOHCdt1114UMSuPLzqrbcnCXXlEQqe7A3bt39y9Tt2dliX/66Sd77rnn7Ny5cy7bWrp0aZdNTop3333Xihcvbh07dvQvUzfiLl262MKFC+3MmTNumTLVgYGsqH0dOnRw6/zyyy+WVKWi/k7ytgAAAACQHqWLYHbHjh3+oDU2+/btc110ExvMipf99Pzzzz8uY6oAuUyZMtFeu/HGG12Aq2BWY3n1SYK6Kyc2K+rZuHGj1a5d22VdA6lb8smTJ23btm1xbq/zlvjO/cCBA+7Tj8CHN144V9T5JLUdAAAAANKrsASzGgd76NAh2717tytwpKxnrly5rG3btiHXX7lypevuq+66iaFuxnXr1nXH0NhVz2effeaCPy/YDfbSSy9Z7ty57dVXX3WZ0fbt21tS7d271xWPCuYt27NnT6zbHj582I0hVtAdah+BNA5XafzAh9oOAAAAABlRWIJZjQNVV1t131WBI3Urnj9/vpUqFXNcp4LO2267zXXDVZXjxOrRo4cLmlesWOFfpkytxsN27tw55DYKZPWQFi1aWHKcOnXKcuTIEWO5ujR7r4ei4FvBtiohKzMcHxXLUhY58LFgwYJktR0AAAAA0quwVDOeOHGiK4CkQksaT6qCT8HdcOXEiRMuW3vs2DFX+Cl4LG1CKFgeNGiQC2BVQVhFnhQ4q/hSwYIFQ26jqsLq3quiU0899ZTbR2zrxkcZZ29cbCC1w3s9lAcffNBVb37rrbesZs2a8R6nWLFi7gEAAAAAmUFYMrMaL6rsrIJLBYyhAtmzZ8+6okmqKqxCSeo2mxQK8DQOVtPcqKDTBx984ILj2LoYaz5bBdsKJt955x3766+//NWOk0Ldg9XVOJi3rGTJkjFe0zQ86jasSss9e/ZM8rEBAAAAIKNKFwWgQnWxveOOO+zzzz93GdXAOV+TQoGrxp9qnljtT3PFtmvXLsZ6Kgyl6sUKMDWOV/PPDhgwwI1b1ZjdpKhVq5arphw4ZlfWrVvnujIrQx1IgfSIESNs4MCByQqiAQAAACAjS5fBrLKiKtqk7GTglDZJpUJIChy1PwW02qc3ZjXQK6+84qoP6zlfvnz+LOmll15q999/v50/n/iqwJpbdv/+/fbee+/5l6n4leadVUAdOJ5W59y/f38XfGveXQAAAABAOhozG5f//Oc/Luhs0KCBC0BnzJgR7fVbbrkl0dPkaKytAlpvip5QXYx///13Gz58uAswdQyPjvXyyy+7AFjPDz/8cKKD2fr161uvXr3sxx9/dFPs6PyUBVag7Pnqq69cNlrTE91www02c+bMaPtp2LChXXbZZYk6NgAAAABkVOkumP3222/ds7r1hurau3PnziTN+aoAVsGsxrA2a9YsZDbY5/PZhAkTYrym4FaFqNT9t0uXLq4Kc0JlzZrVFi1aZIMHD3YZX1Uv1nRB06ZNc4WvPAp0NU744MGDdvfdd8fYzxtvvJHkYPawL3SRKQAAAACIVFE+RXDIkDZv3uwKZ2manqpVq4a7OQAAAAAyic1pEIukyzGzAAAAAABEVDfjhFBX3aNHj8a5TqFChSx79uxp1iYAAAAAQNqJyMysqv5q7GtcjzVr1oS7menG1q1bw90EAAAAAEhREZmZbdmypS1ZsiTOdWrWrJlm7UnvCGYBAAAAZDQRGcx62VcAAAAAQOYUkd2MAQAAAACZG8EsAAAAACDiEMwCAAAAACIOwSwAAAAAIOIQzAIAAAAAIg7BLAAAAAAg4hDMZgJFihQJdxMAAAAAIEURzGYCjRo1CncTAAAAACBFEcwCAAAAACIOwSwAAAAAIOJkC3cDkPr6vzLbshYtx6VO5xaPujvcTQAAAAAiBpnZTKBUlmPhbgIAAAAApCiCWQAAAABA5gtmp02bZlFRUf5Hzpw5rWLFitavXz/bv3+/f73Ro0db+/btrXjx4m69ESNGJOl4y5Yti3a8wEe3bt1irD9//nxr3bq1m54me/bsVrJkSevSpYt98cUX7vX+/fu7bbdv3x7rMYcOHerW+f777/3L1qxZ46oE586d2y655BK3n+PHj0fbbv369e46VK1a1fLkyWNlypRxx962bVuc1zC2x6+//pqkawYAAAAAGU2KjZkdOXKklS9f3k6fPm2rVq2yyZMn26JFi2zTpk0u4Bs2bJgL+q666ir79NNPk308BY9169aNtqxcuf8bF+rz+ezuu+92gaKOOWjQIHf8vXv3ugD3hhtusNWrV9vtt99u48ePt1mzZtnw4cNDHuvtt9+26tWrW40aNdzX3377rdu+cuXKNm7cONu9e7e9+OKL9vPPP9vHH3/s3+755593x+jcubPbdt++fTZhwgSrXbu2ffnll1atWjW3XuPGjW369Okhj/3HH3/Y448/7s6tWLFiyb5uAAAAAJARpFgwq+xnnTp13P979+5thQsXdoHewoULrXv37rZz504XkB06dMiKFi2a7ONdd9111qlTp1hfHzt2rAtkBw4c6NqhzGZgplXBY7Zs2axevXp2xRVXuIA1VDC7du1a1/YxY8b4lz3xxBNWsGBBlyXOnz+/W6Zzu/fee23x4sXWokULt0wBtIJkZYQ9Xbt2dYGx9jdjxgy37LLLLnOPYP/88481a9bMtVPt04cCAAAAAIBUHDOrIEwUCAZnTVPbqVOn7LnnnrMrr7zSZUwDA1lPz549XSArys5u3brVvvnmmxjrKRjV9grI5e+//7YlS5ZYjx49/IGs3HHHHZY3b16bM2eOf1nDhg2jBbJSoUIF1+14y5Yt8Z7H008/bStWrLBRo0bZNddck8irAAAAAAAZV6oFszt27HDPytCmhmPHjrksb+DjwoUL7jV1cz58+LDddtttljVr1nj3pWDWC1yDM6MKTpUF1nhX+eGHH+z8+fP+LLRHQWutWrVs48aNcR5L3Z81llhjeOOiMb0aZ9yyZUsbPHhwvOdw4MAB27x5c7RHXOOAAQAAACCSpVgwe/ToURdQavzo7Nmz3RjaXLlyWdu2bS01aDysuisHPn777Tf3mpf1VHfehFC2VONv1W4vIJbPPvvMBYlesCsacyslSpSIsR8t27NnT5zHmjlzphsHq+7GsdExlfnVGNm33norZGY52KRJk9wY3MBHhw4d4t0OAAAAACJRio2Zbd68ebSvy5Yt6wK3UqVKWWrQ+FZlTAOpwJPXFVjy5cuX4P0peBwwYIDr1tu0aVO3zBvvqgJOgV2YJUeOHDH2oUrO3uuhqCvzAw88YA0aNLA777wz1sytuiwre6tCWQkt+tS3b99o7RRlZgloAQAAAGREKRbMTpw40U3Jo2JFmn6nUqVKliVL6k1jq6xrcADt8cayqityQmlaH69gk4JZVWX2pvVRsSePss1y5syZGPvQNt7rwVTJuE2bNlagQAF79913Y+3+rArICmJVwTi28wtFQW9sge/2C4Usb4L3BAAAAADpX4pFmyqmpOBLgaCmrEnNQDY+KvzkjW9NKAWCN954o82bN8/OnTtnH3zwgQuGA7sYB3Yv9robB9IyzWMbqgu2guIjR47YJ598EnIdr3Lyk08+6QpHqZs2AAAAACC08EWcqahRo0Yum6rpbFTEKaEUuKpwlOaKVYZWGd527dpFW0djUZV93rBhQ7TlZ8+edfPPqghUcLZW+9i2bZt9+OGHVqVKlZDH/uuvv1x2WBWRdWwdAwAAAACQiYJZzcc6ZMgQVwhKzxqHGkxzvH711VfRlml8qbZVMSUFtB07dnTjYAOpm7Ay0No+sBuz5q09fvx4tHGrCqRV6EkZ17lz57qxsnEVtFIBq6lTp7rxxgAAAACA2KVZ+k/B3q5du+zkyZPua2/+VG/O15QO4DSdjaanGTt2rC1dutQ6derkCkRp7OqCBQtcILtmzZpo2ygrqoDWm6InuIuxR1PmqCtwkyZNrE+fPq6Cs47TokULa9WqlX+9hx9+2N5//32XmVXGVwFwcNEp+e9//+vaVKNGDXd9gtfzqBu0xiMn1hVZDts+S51CXAAAAACQoYNZZRyXL1/u/1oBph5et+CUDmY1ZlfT2tx888326quv2osvvuiqHGsKn8aNG9u///3vkJlSBbAKZjU2tlmzZiH3Xbt2bTdtj7K+Dz30kKuafM8999hzzz0XbT11OxaNv9UjmBfMfvnll+75+++/d4F9bHS9khLMAgAAAEBGE+UL1QcXGYIy0xrjqwz40KFDw90cAAAAAJksFtm0aZNVrVo1VY6RIcfMAgAAAAAytnRTMvfUqVNuCpu4FCpUyLJnz55mbQIAAAAApE/pJpidPXu29erVK851NGZU89gCAAAAADK3dBPMtmzZ0pYsWRLnOjVr1kyz9gAAAAAA0q90E8yqerAeAAAAAADEhwJQAAAAAICIQzCbCWgeXwAAAADISAhmM4EiRYqEuwkAAAAAkKIIZgEAAAAAEYdgFgAAAAAQcQhmM4FVq1aFuwkAAAAAkKIIZjOBQ4cOhbsJAAAAAJCiCGYBAAAAABGHYBYAAAAAEHEIZgEAAAAAESdbuBuA1PfT7kPWYtjrXOp0bPGou8PdBAAAACCikJkFAAAAAEQcglkAAAAAQMRJ02B22rRpFhUV5X/kzJnTKlasaP369bP9+/f71xs9erS1b9/eihcv7tYbMWJEko63bNmyaMfTo1ChQla/fn2bOXNmnNseOXLEihUr5rZ59913Y7x+5swZGzJkiJUsWdJy5cpl11xzjS1ZsiTkvtasWWONGjWy3Llz2yWXXGL9+/e348ePR1tn/fr17jpUrVrV8uTJY2XKlLEuXbrYtm3bknTuAAAAAJCRhWXM7MiRI618+fJ2+vRpW7VqlU2ePNkWLVpkmzZtcgHfsGHDXNB31VVX2aeffprs4yl4rFu3rvv/n3/+abNnz7YePXq4gPWBBx4Iuc3w4cPt5MmTse7zrrvuckHuwIEDrUKFCi5Qv+mmm2zp0qUucPV8++23dsMNN1jlypVt3Lhxtnv3bnvxxRft559/to8//ti/3vPPP2+rV6+2zp07W40aNWzfvn02YcIEq127tn355ZdWrVq1JJ//YV+uJG8LAAAAAOlRWILZ1q1bW506ddz/e/fubYULF3aB3sKFC6179+62c+dOK1eunB06dMiKFi2a7ONdd9111qlTJ//X//rXv+yyyy6zWbNmhQxmFVQrwFZAq0ewr776yt555x174YUX7JFHHnHL7rjjDhdwPvrooy4T63niiSesYMGCLkucP39+t0zndu+999rixYutRYsWbtmgQYNce7Jnz+7ftmvXrla9enUbM2aMzZgxI1nBbN4kbw0AAAAA6U+6GDPbrFkz96wg1gv2UpMCRgWY2bKFjuUHDBhgt9xyiwuCQ1FGNmvWrNanTx//MnWZvueee2zt2rX2+++/u2V///2363qsLLAXyHqBb968eW3OnDn+ZQ0bNowWyIoyvup2vGXLlmSfMwAAAABkJOliap4dO3a4Z2VoU8OxY8dcllcOHz7sMqDKvk6dOjXGunPnznWZVQWQv/76a8j9bdy40Y31DQxQpV69ev6uxaVLl7YffvjBzp8/789CexS01qpVy+0nLj6fz40lVkAbnwMHDtjBgwejLdu+fXu82wEAAABAJApLMHv06FEXXGrMrMaJagytiii1bds2VY53993R5/DMkiWLKzIVvPzUqVOu2/BDDz3kssOxBbN79+61EiVKxFjuLduzZ49/vcDlweuuXLkyznarSNUff/zhrk98Jk2aZE8//XTI1wpFnbKz8e4BAAAAACJHWILZ5s2bR/u6bNmyLnArVapUqhxP4169LsPKzL7//vs2dOhQVzVYXYo9Gpt67tw5N841Lgp6c+TIEWO5uhp7rwc+x7au93ooW7dudeN5GzRoYHfeeWe859i3b19XPCo4M9uhQwcXzO6Ldw8AAAAAEDnCEsxOnDjRddPVmFVNv1OpUiWXLU0tKqIUGEBryhtlhx977DG77bbbXJEpZWFV0Elt03jWuCiLrKl5ginT7L0e+Bzbut7rwVTJuE2bNlagQAH/+Nz4aBohPQAAAAAgMwhLASiNLVVw2bRpUzdlTWoGsrHRdDkKKFWZ2MveKjOsNimw1UNBpWgsqr6+cOGCv4uw14U4kLdMc8966wUuD17XWy+QgmxVe9a0QZ988knIdQAAAAAgs0sXBaDCQYWZ5Pjx4+75t99+c91yNWVPqC688tdff9nFF1/sijdpPllVKw4sArVu3Tr3rNdFU/Uo+7xhwwaXDfacPXvWFYkKXCYKrtu1a2fbtm2zzz77zKpUqZIq5w4AAAAAkS5dTM0TDh9++KF7rlmzpnseNWqUzZ8/P9rjmWeeca9p7lh9rTG2ojlr//nnH3v11Vf9+1NX4jfeeMOuueYaV8lY1E1YGWjNEauKyp7p06e7IDpwjKv2p3llNbWPKiprrCwAAAAAIIIyswr2du3aZSdPnnRfr1ixwgWb0rNnT1cwKjFUNdgbz+oVgFq+fLl169bNrrzySre8UaNGMbZTFlbq1q3rCil5FLAqEH388cfdlDhXXHGFvfnmm64rcvB0P6qarDlkmzRp4ual3b17t40dO9ZatGhhrVq18q/38MMPu3YpM6s2KgAOpLlqAQAAAADpOJhVQKhg06MuvXp4QWdig9lXXnkl2hyv6kqsIHPw4MFJbuNbb71lTz75pAu81f24Ro0aLtvbuHHjaOvVrl3bdRkeMmSIm/InX758ds8999hzzz0XbT11O5YPPvjAPYIRzAIAAADA/4ny+Xy+gK+RgWzevNmN21VWW1MRAQAAAEBaxiKbNm2yqlWrpsoxMu2Y2cykSJEi4W4CAAAAAGT8bsbxOXXqlJvCJi6FChVyXYoRejwwAAAAAESyiAxmZ8+ebb169YpzHY2x1ZyxAAAAAICMJyKD2ZYtW9qSJUviXMebcgcAAAAAkPFEZDBbokQJ90DCHDp0iEsFAAAAIEOhAFQmsGrVqnA3AQAAAABSFMEsAAAAACDiEMwCAAAAACIOwSwAAAAAIOIQzAIAAAAAIg7BLAAAAAAg4hDMAgAAAAAiDsEsAAAAACDiEMwCAAAAACIOwWwm0KFDh3A3AQAAAABSVLaU3R3So3tfec/yFl0X7mYgDotH3c31AQAAABKBzCwAAAAAIOIQzAIAAAAAIg7BbCZwRZbD4W4CAAAAAKSPYHbatGkWFRXlf+TMmdMqVqxo/fr1s/379/vXGz16tLVv396KFy/u1hsxYkSSjrds2bJox7vooovssssuszvuuMN++eWXGOv//fff9vTTT1vNmjUtb968litXLqtWrZoNGTLE9uzZY+fOnbMiRYpYo0aNYj2mz+ez0qVLW+3atf3LLly4YP/+97+tfPny7pxr1Khhb7/9doxtv/rqK+vbt69dffXVrq1qcyi//vprjPNSuxo2bGhPPPGE/fbbb0m6XgAAAACQkSW7ANTIkSNdYHf69GlbtWqVTZ482RYtWmSbNm2y3Llz27Bhw+ySSy6xq666yj799NNkN7h///5Wt25dF4x+88039uqrr9pHH31kP/zwg5UsWdKto+C2efPmLhDs3Lmz9enTx7Jnz27ff/+9TZ061ebPn2/btm1zr02ZMsV27dplZcuWjXGsFStW2O7du+2hhx7yLxs6dKiNGTPG7r33XteOhQsX2m233eYC0W7duvnX0zV47bXXXLCroFvHi0v37t3tpptucsHyX3/9ZevXr7f//Oc/9vLLL7s2B+4bAAAAADK7ZAezrVu3tjp16rj/9+7d2woXLmzjxo1zQZ4CtJ07d1q5cuXs0KFDVrRo0WQ3+LrrrrNOnTq5//fq1ctlgxXgvvnmm/b444/b+fPnrWPHji47rGxucOZVmeLnn3/e/f/222+3//73vy6z+thjj8U41qxZsyxLliz+QPKPP/6wsWPH2gMPPGATJkzwn3OTJk1s8ODBLjjOmjWrW/6vf/3LZYGVEVa2Or5gVtnfHj16RFumILtFixZ25513WuXKlV2WGQAAAACQCmNmmzVr5p4VxIoC2dQUfLx58+bZd9995zKooboQ58+f3wW0cu2117r2KWgNpszvu+++a9dff70/46sAXcvVfdijjKwCV2Vw165d61+ubtUKZJND2WJ15z579qzr2gwAAAAASKVgdseOHe5ZGdq0EHy8999/3z337Nkz3m0ViKqLsLoob968Odprn3zyiR0+fNhlbz0bN260PHnyuCxpoHr16vlfT2kNGjSwyy+/3JYsWRLnegcOHHDnEPjYvn17ircHAAAAADJEMHv06FHXhViZydmzZ7sxtMpItm3b1lLDsWPH3PH27t3rxqUOGDDABaW33nqre33Lli1WoEABV7gpIbxgdebMmdGWK1urAk/efkXH9ApZBSpRooR7VmGp1KDCVQcPHnRFrWIzadIkt17go0OHDqnSHgAAAACI+DGzKrQU3DVWgWGpUqUsNdx9993RvtY4XI2X9cbtKuDLly9fgvdXpUoVV5zqnXfesWeffdYtO3HihMvwKiBXt2TPqVOnLEeOHDH2oaDXez01qBqzF8gHtieQuj5rzG4gZWYJaAEAAABkRMkOZidOnOiKMGXLls1lLStVquSKJqWW4cOHuyJQKrSkKWzU5VfH9ijYCzVVT3zZ2UceecTWrFnjpsRZsGCBnTx5MloXY1HG+cyZMzG2VyVn7/XUcPz4cfccV5BerFgx9wAAAACAzCDZUafGiyo727RpUxdYpmYgK9WrV3fHU2Em/T8wkJUrr7zSdX3+/fffE7xPVV1Wu71CUHouWLCgmyonuDvxvn373PyzgdT9WLxCUSlN0xwpUI0tKxufPy4kPFMNAAAAAJEgdSPPMGjXrp17njFjRoK3URCq4Hju3LluSh8VW9L0P5qbNlCtWrVcxlbjcgOtW7fO/3pKU4VkFbnSFD1JdcouStE2AQAAAEC4ZbhgVkGoMraafidwqhyPxp1q2p5g6lKsisD33Xefm34nuIux3HzzzXbRRRe5YkseZWk1V63GCKuLckrSPLN33XWXC6o1jy0AAAAAIIXGzMZn+vTpLihTRlNWrFhho0aN8k+fo4JRKUnB5nvvvee6Ijdu3Ni6dOni5pPVck1X43Uh9uaa9ahqsYooaS5ZVULWtsEuvfRSGzhwoL3wwgsu4K1bt64bX7ty5UpX9ErjeD06Z527bNiwwT17561zDp466JtvvnHZ5AsXLtiRI0ds/fr1bs5cVU7WfmrUqJGi1wkAAAAAIlmqB7NTp0615cuX+79eunSpe0ijRo1SPJiVK664wr799lt76aWXbP78+S7gVJCo5b1797b+/fvH2EbjUdVFWV2NNYY2ePodz5gxY1wwPGXKFJs2bZpVqFDBBaGarzbQzp077cknn4y2zPu6SZMmMYLZt99+2z00Blht0X4VON9///1WpkyZZF2PUlF/21FLnerSAAAAABAOUb7gakbIMJSJ1nyzygiH6loNAAAAAKkZi6iYbdWqVVPlGBluzCwAAAAAIONL9W7G8Tl16pSbSicuhQoVilFZGAAAAACQeYU9mJ09e7b16tUrznU0xlbz2AIAAAAAkC6C2ZYtW7p5XeNSs2bNNGsPAAAAACD9C3swW6JECfcAAAAAACChKAAFAAAAAIg4Yc/MIvWcOXPGPe/fv9+VxgYAAACAtLB9+/ZoMUlqIJjNwH744Qf3PH78ePcAAAAAgLSOSWrXrp0q+yaYzcAqVqzonufMmWNVqlQJd3OQCT+N69Chgy1YsMCuuOKKcDcHmRD3IMKNexDcf8jMfvzxR+vSpYs/JkkNBLMZWP78+d2zAtmqVauGuznIpBTIcv+BexCZGe+D4P5DZpb//8ckqYECUAAAAACAiEMwCwAAAACIOASzAAAAAICIQzCbgRUtWtSeeuop9wxw/yGz4T0Q4cY9CO4/ZGZF0yAWifL5fL5U2zsAAAAAAKmAzCwAAAAAIOIQzAIAAAAAIg7BLAAAAAAg4hDMAgAAAAAiDsEsAAAAACDiEMxGoDNnztiQIUOsZMmSlitXLrvmmmtsyZIl8W43YsQIi4qKivHImTNnmrQbmfv+88yePdsaNGhgefLksYsvvtgaNmxoX3zxRaq2GRlLUu/BcuXKhXwP1KNChQpp0nZkDMl5H/zss8/s+uuvtyJFirj3wHr16tn06dNTvc3IOJJz/73zzjtWu3Zt97efpku555577NChQ6neZmQsx48fd1PutGrVygoVKuR+j06bNi3B2x85csT69Onj7kH9Paj3xG+++SZJbcmWpK0QVnfddZe9++67NnDgQPcHmG6em266yZYuXWqNGjWKd/vJkydb3rx5/V9nzZo1lVuMjCQ5958+UBk5cqR16tTJ7efcuXO2adMm++OPP9Ks/ci89+B//vMf9ws40K5du2zYsGHWokWLNGg5Mvs9+P7771uHDh3cB3reB8xz5syxO+64wwUUDz30UJqeBzLX/ae///r27Ws33HCDjRs3znbv3m0vv/yybdiwwdatW0dyAwmm9yv9PVemTBmrWbOmLVu2LMHbXrhwwdq0aWPfffedDR482H2wN2nSJGvatKl9/fXXif9wWfPMInKsW7dO8wL7XnjhBf+yU6dO+S6//HJfgwYN4tz2qaeectsePHgwDVqKjCg599/atWt9UVFRvnHjxqVBS5FRJeceDOWZZ55x+1u9enUKtxQZVXLuwRtvvNFXsmRJ3+nTp/3Lzp0757atUaNGqrYbmfv+O3PmjO/iiy/2NW7c2HfhwgX/8g8++MDt75VXXkn1tiPjOH36tG/v3r3u/+vXr3f30BtvvJGgbWfPnu3Wnzt3rn/ZgQMH3P3ZvXv3RLeFbsYRRp/EKZOq1LxHXUXUTWTt2rX2+++/x7sPn89nf//9t3sG0ur+U1bskksusQEDBrh7LzhDBqT2PRjKrFmzrHz58q67O5Da96B+9xYsWNBy5MjhX5YtWzaXmVB3USC17j/1glLXzq5du7oeAZ62bdu63nrqfgwklN7D9DddUu/h4sWLW8eOHf3L1N24S5cutnDhQteNPjEIZiPMxo0brWLFipY/f/5oyzXmRr799tt493HZZZdZgQIFLF++fNajRw/bv39/qrUXGUty7r/PP//c6tata6+88op709L9V6JECZswYUKqtxsZR0q8Bwbua8uWLXbbbbeleDuRcSXnHlQ3us2bN9uTTz5p27dvtx07dtgzzzzjunk++uijqd52ZN77zwsQQn1oomXar7p/AqlN95rGbWfJkiXGPXzy5Enbtm1bovbHmNkIs3fvXhcABPOW7dmzJ9Zt9Wlwv3793FgdfaKycuVKmzhxon311VfuF2nwGyOQUvffX3/95cZXrF692hV7UtEAjbN444037MEHH7SLLrrI7rvvPi44UvU9MNjMmTPd8+23386VR5rcgwpid+7caaNHj7ZRo0a5Zblz57Z58+bZzTffzHcBqXb/aRyiMrL6PdyrVy//8p9++skOHjzo/11duHBhvgtI9Xu4cePGcd7D1atXT/D+CGYjzKlTp6J1T/J4FYn1emzUvTPQrbfe6j4F0R9yGnj92GOPpUKLkZEk9f7zuhT/+eefriuTujmJCkHpDUt/1BHMIjXvwWDKQOhevOqqq6xy5cpcfKTJPajtlFXTe5+62P3zzz/26quvul5SqkZbv359vhNIlftPXdnVjfPNN99073m33HKLK77ofaCsgowJff8E0sPvcQ/djCOMuoKE6kt++vRp/+uJoe516vOuqQKA1Lr/vOX6hak/4jzqYqLAVhUVf/vtN74BSLV7MNjy5cvdH3JkZZGW96B6R33wwQfug5Ru3bq5+0+/f5WRCP7AGUjp+2/KlCmu6vEjjzxil19+ucuO6QPldu3audcDZ7oAIiWWIZiNMPqFp/R8MG+Z5hxLrNKlS9vhw4dTpH3I2JJ6/2kOMn3ipu5LwVNBFStWzN+9CUitezBUF2N9mNK9e3cuOtLkHjx79qxNnTrVTUkROFZMH/K1bt3aDffROkBq3H+ieikqsKMpyfSB3q+//urmONa2qmWheY+BSItlCGYjTK1atdzAaFVEDKT5wbzXE0NVZfVmpjcxILXuP/3hptc0Lif4jzVvfA/3INLqPVCfCGuMoorxJOUDQGRuSb0HNczi/PnzrmtxMHXxVNf3UK8BKXH/BVLNCmVly5Yt6yoca27P5s2bc6GRJnSPfvPNNzEKjukeVg0BDcVIDILZCKMumt4Ym8A/zFRI55prrnFZVlGXza1bt0bb1hvgHzyBtpa3atUqDVqPzHz/qTuxttV4ncAuJcqQValShaACqX4PehYtWuT+gKOLMdLyHlQvFGW+5s+fH+1DPdUUUNfjK6+8kul5kGr3X2wef/xx9yHLQw89xNVHilO2VfehPrALvIc1k8p7773nX6YioXPnznVd3kONp41TomemRdh17tzZly1bNt/gwYN9U6ZM8TVs2NB9vXz5cv86TZo0cRMSB8qVK5fvrrvu8o0dO9Y3ceJENzFxVFSUr1atWr4TJ06E4UyQme6/kydP+qpWreq76KKLfI888oiboL1u3bq+rFmz+hYtWhSGM0Fmuwc9t956qy9Hjhy+I0eOpGGrkZEk9R4cNWqUW3bVVVf5XnrpJd+LL77oq1y5sls2Y8aMMJwJMtP999xzz/luv/129/t30qRJvhYtWrh1dF8CiTV+/HjfM8884/vXv/7l7qOOHTu6r/Xwfr/eeeed7rWdO3f6tzt//ryvfv36vrx58/qefvppF5Po78N8+fL5tm7dmuh2EMxGoFOnTrlg4JJLLnF/kCkg+OSTT6KtE+pNrHfv3r4qVaq4m0UBxRVXXOEbMmSI7++//07jM0BmvP9k//797o2tUKFCbttrrrkmxrZAat6DR48e9eXMmdP90gXCcQ/OnDnTV69ePd/FF1/sPmTW++C7777LNwOpfv99+OGH7t7T34G5c+d2AcWcOXO48kiSsmXLunss1MMLXkMFs3L48GHfPffc4ytcuLC7F3W/rl+/PkntiNI/KZlOBgAAAAAgtTFmFgAAAAAQcQhmAQAAAAARh2AWAAAAABBxCGYBAAAAABGHYBYAAAAAEHEIZgEAAAAAEYdgFgAAAAAQcQhmAQAAAAARh2AWAAAAABBxCGYBAAAAABGHYBYAACRZuXLl7K677uIKAgDSHMEsAABhNGnSJIuKirJrrrkm5Ou//vqre/3FF18M+bqW63WtF2z+/PnWunVrK1KkiGXPnt1KlixpXbp0sS+++CLFzwMAgLRGMAsAQBjNnDnTZTe/+uor2759e4rs0+fzWa9evaxjx462f/9+GzRokP33v/+1Bx54wH755Re74YYbbM2aNSlyLAAAwiVb2I4MAEAmt3PnThdUvvfee3bfffe5wPapp55K9n7Hjh1r06ZNs4EDB9q4ceNc5tYzdOhQmz59umXLxp8AAIDIRmYWAIAwUfBasGBBa9OmjXXq1Ml9nVynTp2y5557zq688kp/F+RgPXv2tHr16sW5H23bsGFDK1y4sOXKlcuuvvpqe/fddxPUBmV/O3fubIUKFbLcuXNb/fr17aOPPoq2zrJly1zb5syZY6NHj7ZLL73UcubM6bLGoTLU69ats1atWlmBAgXcPps0aWKrV69OUHsAABkTwSwAAGGi4FVdgTWetXv37vbzzz/b+vXrk7XPVatW2eHDh+22226zrFmzJnk/L7/8sl111VU2cuRIe/bZZ10mVwFqcFAaTN2aFQR/+umn1rdvXxeonj592tq3b+/G8AYbM2aMW/7II4/Y448/bl9++aXdfvvt0dbRGN/GjRvb33//7TLXas+RI0esWbNmrns2ACBzoo8RAABh8PXXX9vWrVtt/Pjx7utGjRq57KQC3Lp16yZ5v1u2bHHP1atXT1b7tm3b5jKynn79+lnt2rVdt2VlkmOj4FQB7cqVK905yb333ms1atRwY3dvvvlmy5Ll/z5LV6D77bffuoBelKkeMGCAbdq0yapVq+bG/95///12/fXX28cff+zPNKtbdtWqVW3YsGG2ePHiZJ0rACAykZkFACAMFLQWL17cBWmiIK1r1672zjvv2D///JPk/Sp7Kfny5UtW+wID2b/++suOHj1q1113nX3zzTdxbrdo0SLXhdkLZCVv3rzWp08fV3H5xx9/jLa+ClV5gazoGF5XZVGgq4y1Ms1//vmnHTp0yD1OnDjhuiSvWLHCLly4kKxzBQBEJjKzAACkMQWrCloVyKoIlEfT86h40+eff24tWrRI1D69jGX+/Pnd87Fjx5LVxg8//NBGjRrlgskzZ87EOE5sdu3aFXKaocqVK/tfV8bVU6ZMmWjrKTPrBdCiQFbuvPPOWI+pQNvbDgCQeRDMAgCQxjQGdO/evS6g1SNU1tYLZlUUySvsFMrJkyejrafCT/LDDz9Yhw4dktQ+dRHWGFeNU9U8uCVKlLCLLrrI3njjDZs1a5alpNjG9ap7sXhZ1xdeeMFq1aoVcl1lfgEAmQ/BLAAAaUzBarFixWzixIkxXtM0PSqIpHlh1dW3aNGirnrvTz/9FHJfWq7XixQp4r5W915lKd9++2174oknklQEat68eS44VhGnHDly+JcrmI1P2bJlQ7ZV44O91xPj8ssv92ecmzdvnqhtAQAZG2NmAQBIQ8qwKmBt27atm44n+KFCS+oi/P7777v1FYwqS/vBBx/Yb7/9Fm1f+lrL9boXtCqwHTJkiCsEpWcvwxloxowZcVYB1r7UnThw7K7Guy5YsCDe87vpppvcvteuXetfpvGtr776qpUrV86qVKliiaEpgRTQaqqg48ePx3j94MGDidofACDjIDMLAEAaUpCqYFXdeEPRnKzKxip7q4JQoqlotFzVhFVISUGhgksFiAo69XqgwYMH2+bNm93426VLl7og+ZJLLrF9+/a5gFTB5po1a2Jto6oVq2qx5nVV4aUDBw64LPIVV1xh33//fZzn99hjj7mscOvWra1///5urtk333zTjQ1WxjewknFCaP3XXnvN7U/Vi1UwqlSpUvbHH3+4c1PGVgE9ACDzIZgFACANKUhVF94bb7wx1uBNwaTWU/XewoULu+JJ69atsxEjRtjUqVPdPLIKErUPzbvqjZMN3Mdbb73lpsFRwKuspqocK0jWONh///vf1qBBg1jbqPlbdRxNszNw4EArX768Pf/88y6Aji+YVYVmBcrKCmvaIU29o2l5FHDGNaVPXJo2beoyvc8884xNmDDBZWgVnKvQlKboAQBkTlG+UP2PAAAAAABIxxgzCwAAAACIOASzAAAAAICIQzALAAAAAIg4BLMAAAAAgIhDMAsAAAAAiDgEswAAAACAiEMwCwAAAACIOASzAAAAAICIQzALAAAAAIg4BLMAAAAAgIhDMAsAAAAAiDgEswAAAACAiEMwCwAAAACIOASzAAAAAACLNP8PlI+sM6SD8c4AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 960x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# --- Validity audit: is the score real detection, or a data shortcut? ---\n",
    "from sklearn.metrics import roc_auc_score\n",
    "samp = X.sample(min(60_000, len(X)), random_state=1); ysamp = y[samp.index]\n",
    "aucs = {}\n",
    "for c in feat:                                                    # AUC of EACH feature alone\n",
    "    col = samp[c].to_numpy(float)\n",
    "    if col.std()==0: continue\n",
    "    a = roc_auc_score(ysamp, col); aucs[c] = max(a, 1-a)          # direction-agnostic\n",
    "best_auc = max(aucs.values()); best_col = max(aucs, key=aucs.get)\n",
    "dup_rate = 1 - X.drop_duplicates().shape[0]/len(X)               # exact-duplicate feature rows (whole set)\n",
    "# The statistic that actually inflates a held-out score is TRAIN/TEST CONTAMINATION: how many test\n",
    "# rows are exact duplicates of a training row. Measure it directly on the split used above.\n",
    "_trkeys = set(map(tuple, np.round(Xtr.to_numpy(), 6)))\n",
    "_te = np.round(Xte.to_numpy(), 6)[:50_000]\n",
    "contam = float(np.mean([tuple(r) in _trkeys for r in _te]))      # fraction of test rows seen in train\n",
    "# Trust grade reflects BOTH failure modes and takes the WORSE of the two: a near-perfect single\n",
    "# feature (shortcut) OR heavy train/test contamination each independently invalidate the headline.\n",
    "_ga = 'F' if best_auc>=0.999 else 'D' if best_auc>=0.99 else 'C' if best_auc>=0.95 else 'B' if best_auc>=0.85 else 'A'\n",
    "_gc = 'F' if contam>=0.5 else 'D' if contam>=0.3 else 'C' if contam>=0.15 else 'B' if contam>=0.05 else 'A'\n",
    "grade = max(_ga, _gc)                                            # 'max' letter = worse grade (A best, F worst)\n",
    "print(f'best single-feature AUC = {best_auc:.4f}  (feature: {best_col})')\n",
    "print(f'   note: a near-1.0 single-feature AUC means this feature is *near-sufficient* (a shortcut),\\n'\n",
    "      f'   which may be legitimate signal OR an artifact \u2014 it is NOT the same as target leakage.')\n",
    "print(f'exact-duplicate row rate (whole corpus) = {dup_rate:.3f}')\n",
    "print(f'TRAIN/TEST exact-row contamination       = {contam:.3f}  (single-feat grade {_ga}, contam grade {_gc})')\n",
    "print(f'==> data trust grade: {grade}   (worse of the two; F = shortcut and/or heavy contamination)')\n",
    "s = pd.Series(aucs).sort_values().tail(15)\n",
    "fig, ax = plt.subplots(figsize=(8,5))\n",
    "s.plot.barh(ax=ax, color=['#e76f51' if v>=0.99 else '#457b9d' for v in s]); ax.axvline(0.5,ls='--',c='grey')\n",
    "ax.set_xlim(0.5,1.0); ax.set_title('Single-feature ROC-AUC (red = near-perfect shortcut)'); ax.set_xlabel('AUC alone')\n",
    "plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b748770a",
   "metadata": {},
   "source": [
    "## 11. Ablation \u2014 does the headline survive removing the artifacts?\n",
    "\n",
    "Narrating a shortcut is not enough. We *retrain the winning model* after (1) de-duplicating the corpus (removing the train/test contamination) and (2) dropping the single strongest feature. We report the held-out AUC each time. **Read the result honestly, both ways:** if the AUC **collapses**, the headline was a contamination/shortcut artifact. If it **barely moves** \u2014 common on *simulated* corpora \u2014 that is **not vindication**. It means the classes are separable by *many* redundant features, because the attack and benign distributions barely overlap. That is its own generation artifact. The numbers below decide which story is true here, not the prose."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "6b5e05c2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ablation \u2014 how much of the headline survives once each artifact is removed:\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>setting</th>\n",
       "      <th>held_out_auc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>headline (as-is)</td>\n",
       "      <td>0.998755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>de-duplicated (3% rows removed)</td>\n",
       "      <td>0.998193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>shortcut feature dropped (P1_PCV02Z)</td>\n",
       "      <td>0.998901</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                setting  held_out_auc\n",
       "0                      headline (as-is)      0.998755\n",
       "1       de-duplicated (3% rows removed)      0.998193\n",
       "2  shortcut feature dropped (P1_PCV02Z)      0.998901"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# --- Ablation: SHOW the inflation empirically, don't just narrate it ---\n",
    "from sklearn.base import clone\n",
    "def _retrain_auc(Xa, ya):                                        # re-split, stratified-subsample, refit best family\n",
    "    xtr, xte, ytr2, yte2 = train_test_split(Xa, ya, test_size=0.25, random_state=RANDOM_STATE, stratify=ya)\n",
    "    if len(xtr) > 120_000:\n",
    "        xtr, _, ytr2, _ = train_test_split(xtr, ytr2, train_size=120_000, random_state=RANDOM_STATE, stratify=ytr2)\n",
    "    m = clone(best); m.fit(xtr, ytr2)\n",
    "    return roc_auc_score(yte2, m.predict_proba(xte)[:, 1])\n",
    "base_auc = roc_auc_score(yte, best.predict_proba(Xte)[:, 1])     # (0) the headline held-out AUC\n",
    "Xdd = X.drop_duplicates(); ydd = y[Xdd.index]                    # (1) de-duplicated corpus\n",
    "auc_dedup = _retrain_auc(Xdd, ydd)\n",
    "auc_noshort = _retrain_auc(X.drop(columns=[best_col]), y) if best_col in X.columns else base_auc  # (2) drop shortcut\n",
    "ablation = pd.DataFrame([\n",
    "    {'setting': 'headline (as-is)',              'held_out_auc': round(base_auc, 6)},\n",
    "    {'setting': f'de-duplicated ({1-len(Xdd)/len(X):.0%} rows removed)', 'held_out_auc': round(auc_dedup, 6)},\n",
    "    {'setting': f'shortcut feature dropped ({best_col})', 'held_out_auc': round(auc_noshort, 6)},\n",
    "])\n",
    "print('Ablation \u2014 how much of the headline survives once each artifact is removed:')\n",
    "ablation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "efb9af8c",
   "metadata": {},
   "source": [
    "## 12. Reproducibility & robustness"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a10b4388",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "seed=0 | numpy 2.3.5 | sklearn 1.9.0 | xgboost 1.6.2 | lightgbm 4.7.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "XGBoost 3-fold CV ROC-AUC = 0.9816 +/- 0.0014  (mean +/- std across 3 stratified folds; a small std means a stable estimate on this split)\n"
     ]
    }
   ],
   "source": [
    "# --- Reproducibility & robustness ---\n",
    "import sklearn\n",
    "from sklearn.model_selection import StratifiedKFold, cross_val_score\n",
    "print(f'seed={RANDOM_STATE} | numpy {np.__version__} | sklearn {sklearn.__version__} | '\n",
    "      f'xgboost {xgb.__version__} | lightgbm {lgb.__version__}')\n",
    "# 3-fold cross-validated ROC-AUC of the winning model (fresh clone, bounded subsample) -> mean +/- std.\n",
    "from sklearn.base import clone\n",
    "cvX, cvy = Xtr.iloc[:40_000], ytr[:40_000]\n",
    "def _auc_scorer(est, Xv, yv):                                   # robust to xgboost's 2-col predict_proba\n",
    "    p = est.predict_proba(Xv)\n",
    "    p = p[:, 1] if getattr(p, 'ndim', 1) == 2 else p\n",
    "    return roc_auc_score(yv, p)\n",
    "try:\n",
    "    cv = cross_val_score(clone(best), cvX, cvy,\n",
    "                         cv=StratifiedKFold(3, shuffle=True, random_state=RANDOM_STATE),\n",
    "                         scoring=_auc_scorer, error_score='raise')\n",
    "    assert np.all(np.isfinite(cv)), 'non-finite CV folds'   # FAIL CLOSED: never narrate a NaN as evidence\n",
    "    print(f'{best_name} 3-fold CV ROC-AUC = {cv.mean():.4f} +/- {cv.std():.4f}  '\n",
    "          f'(mean +/- std across 3 stratified folds; a small std means a stable estimate on this split)')\n",
    "except Exception as e:\n",
    "    print(f'CV UNAVAILABLE ({type(e).__name__}: {str(e)[:60]}); rely on the single held-out AUC above \u2014 '\n",
    "          f'we do NOT report a CV number we could not compute')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a420e6d8",
   "metadata": {},
   "source": [
    "## 13. Scientific conclusion\n",
    "\n",
    "Point-in-time process features separate normal from attack ICS snapshots above the >99%-normal baseline, but that number is meaningless at <1% attacks. The honest metrics are per-stage recall (are the subtle single-stage manipulations caught?) and the false-positive rate (a false trip can halt a physical plant). The structural limit is that we classify each second independently, ignoring the **temporal dynamics** of the physical process. A residual/sequence model over time is the honest next step for cyber-physical intrusion detection (Kravchik & Shabtai, 2018; Shin et al., 2020; Sommer & Paxson, 2010).\n",
    "\n",
    "**Validity ledger \u2014 read the headline against these printed numbers:** Majority-class baseline **accuracy**: **0.9932**. The accuracy column must clear that bar to mean anything. For ROC-AUC the trivial baseline is 0.5, not that figure. Winning learner: **XGBoost** (3-fold CV ROC-AUC **0.9816**). Strongest *single* feature: `P1_PCV02Z` at AUC **0.7465**. The ablation refutes a single-feature story. Dropping that feature barely moves the AUC: **0.998755 \u2192 0.998901**. So the separability is **multi-feature**. That reflects how this corpus was generated, not one leaky column. De-duplication lowers the AUC only slightly, to **0.998193**. Repeated rows account for a negligible part of the headline. Data-trust grade: **A**. It is the worse of two independent sub-checks. Single-feature AUC 0.7465 scores **A**. Train/test exact-row overlap 0.007 scores **A**. Neither check flags a problem, so nothing here explains the score away. Operational false-positive rate at threshold 0.5: **0.0001**. Worst per-group recalls, exactly as printed: {`stage_unflagged`: 0.633, `stage_P3`: 0.782, `stage_P2`: 0.8, `stage_P1`: 0.845, `stage_multi`: 0.877}. The weakest group sits at **0.633**, which is where detection is thinnest. **Disclosed limitation:** categorical columns are integer-encoded before the split. The encoder therefore sees the test set's category values. On an all-numeric corpus that step is a no-op. The mapping never consults the label, so no *label* information leaks. It is still transductive. A deployed system would need an unseen-category bucket. **How the audit numbers are computed:** overlap is measured on the first 50,000 held-out rows, so read it as a sampled estimate. Each ablation re-splits and refits, so tiny differences are re-split noise. The de-duplication variant keeps the first label when a feature vector appears twice. **Scope:** the split is random, not temporal or entity-grouped. Every number above therefore measures in-distribution separability only."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aebdb77c",
   "metadata": {},
   "source": [
    "## References\n",
    "\n",
    "1. Shin, H.-K., Lee, W., Yun, J.-H. & Kim, H. (2020). HAI 1.0: HIL-based Augmented ICS Security Dataset. *USENIX CSET '20*. The testbed and the first, narrower release.\n",
    "2. Shin, H.-K., Lee, W., Yun, J.-H. & Min, B. G. (2021). Two ICS Security Datasets and Anomaly Detection Contest on the HIL-based Augmented ICS Testbed. *CSET '21* (ACM). Documents the hai-21.03 release loaded here.\n",
    "3. Goh, J., Adepu, S., Junejo, K. N. & Mathur, A. (2016). A Dataset to Support Research in the Design of Secure Water Treatment Systems. *CRITIS 2016*. The SWaT dataset.\n",
    "4. Kravchik, M. & Shabtai, A. (2018). Detecting Cyber Attacks in Industrial Control Systems Using Convolutional Neural Networks. *CPS-SPC '18* (Workshop on Cyber-Physical Systems Security and PrivaCy, co-located with ACM CCS '18), 72-83.\n",
    "5. Sommer, R. & Paxson, V. (2010). Outside the Closed World: On Using Machine Learning for Network Intrusion Detection. *IEEE S&P*."
   ]
  }
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