{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "6829287e",
   "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 NF-CSE-CIC-IDS2018-v2, the standard-schema re-featuring of that corpus.\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",
    "\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 3: Vulnerability Assessment** \u2014 Learning objective 1 (section 3.1) frames assessment as **evidence grading**, not output collection. The A-F data-trust grade in section 10 is exactly that move, applied to a model score.\n",
    "- **Chapter 8: Federated Threat Intelligence** \u2014 Learning objective 2 (section 8.1) derives why **non-IID** site distributions produce *client drift*. A model fit on one site does not carry to another. This notebook does **not** run that test: every score here is in-distribution on one corpus. The shared move is scoping a claim to its evidence. Notebook 36 runs the cross-corpus transfer matrix.\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",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c1d24b2b",
   "metadata": {},
   "source": [
    "# NetFlow-Standardized Intrusion Detection: NF-CSE-CIC-IDS2018-V2\n",
    "### Model comparison + validity audit on NF-CSE-CIC-IDS2018-V2 (\u22651M records, via Kaggle)\n",
    "\n",
    "**Abstract:** NF-CSE-CIC-IDS2018-V2 (Sarhan et al., 2022) re-features CSE-CIC-IDS2018 into the standard 43-field NetFlow v2 schema. We compare four learners on its \u22651M flows and audit the scores."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cd4829b8",
   "metadata": {},
   "source": [
    "## 1. Research problem\n",
    "\n",
    "**Task:** Classify standardized NetFlow v2 records (CSE-CIC-IDS2018) as benign or attack. The standard feature set was proposed to enable *cross-dataset* comparison. So it is the right lens for asking whether high scores are feature shortcuts or transferable signal."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "26218e06",
   "metadata": {},
   "source": [
    "## 2. Literature review\n",
    "\n",
    "- **Sarhan, Layeghy & Portmann (2022)** \u2014 *Towards a Standard Feature Set for Network Intrusion Detection System Datasets* (Mobile Networks & Applications; arXiv:2101.11315). It defines the **43-field NetFlow v2 schema and the NF-*-v2 datasets used here** (NF-UNSW-NB15-v2 / NF-BoT-IoT-v2 / NF-ToN-IoT-v2 / NF-CSE-CIC-IDS2018-v2), enabling cross-dataset comparison.\n",
    "- **Sarhan, Layeghy, Moustafa & Portmann (2021)** \u2014 *NetFlow Datasets for ML-Based NIDS* (BDTA 2020 conference; proceedings 2021). These are the earlier 8-field NetFlow v1 datasets this v2 set extends.\n",
    "- **Koroniotis et al. (2019)** \u2014 Bot-IoT origin.\n",
    "- **Moustafa & Slay (2015)** \u2014 UNSW-NB15 origin.\n",
    "- **Sommer & Paxson (2010)** \u2014 the closed-world 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",
    "| Sarhan et al. (2022) \u2014 standard NetFlow ML | in-distribution; NetFlow fields can leak |\n",
    "| Cross-dataset NetFlow studies | standardized features expose generalization gap |\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "172c43d7",
   "metadata": {},
   "source": [
    "## 3. Dataset provenance & honesty caveats\n",
    "\n",
    "| Property | Value |\n",
    "|---|---|\n",
    "| Source | Kaggle `dhoogla/nfcsecicids2018v2` (NetFlow v2) |\n",
    "| Origin | CSE-CIC-IDS2018, re-featured to NetFlow v2 |\n",
    "| Label | `Label` 0/1; family `Attack` |\n",
    "| Access | Kaggle API token required |\n",
    "\n",
    "**Honestly:** `Attack` (family) is dropped from features; NetFlow header fields (ports/protocol) can act as shortcuts, which the audit probes.\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 `dhoogla/nfcsecicids2018v2` -> `/tmp/kg_nfcsecicids2018v2`. It is about **612 MB** 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": "4e50d6a1",
   "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": "9e0b57b3",
   "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": "f085273a",
   "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": "f652918c",
   "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": "ca693efb",
   "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."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "74d37202",
   "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": "d5c7a923",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "loaded 17,129,715 rows x 40 features; positive rate 0.1184\n"
     ]
    }
   ],
   "source": [
    "import os, glob\n",
    "# Kaggle auth: token read from ~/.kaggle/access_token (students supply their own).\n",
    "os.environ.setdefault('KAGGLE_KEY', open(os.path.expanduser('~/.kaggle/access_token')).read().strip())\n",
    "import kaggle; kaggle.api.authenticate()\n",
    "REF = 'dhoogla/nfcsecicids2018v2'; DEST = '/tmp/kg_' + REF.split('/')[-1]\n",
    "if not os.path.exists(DEST):                                   # download + unzip once (cached)\n",
    "    kaggle.api.dataset_download_files(REF, path=DEST, unzip=True, quiet=True)\n",
    "NROWS = 1_500_000                                              # per-file read cap (memory bound)\n",
    "files = sorted(glob.glob(DEST + '/**/*.parquet', recursive=True))\n",
    "df = pd.concat([pd.read_parquet(f) for f in files], ignore_index=True)  # combine day/part files\n",
    "df.columns = [str(c).strip() for c in df.columns]             # strip header whitespace\n",
    "LABEL = 'Label'; FAMILY = 'Attack'\n",
    "df['y'] = (df[LABEL].astype(str).str.strip().str.lower() != '0').astype(int)  # benign=0\n",
    "df['family'] = df[FAMILY].astype(str).str.strip()             # descriptive attack family\n",
    "df = df.reset_index(drop=True)\n",
    "assert len(df) >= 1_000_000, f'floor not met: {len(df):,}'    # honesty gate: >= 1M rows\n",
    "DROP = list({LABEL, FAMILY, 'y', 'family'} | set([]))  # never leak label cols\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:           # encode remaining categoricals\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)                                        # clip huge NetFlow counts (float32-safe)\n",
    "X = X.loc[:, X.nunique() > 1]                                  # drop constants\n",
    "import re                                                      # LightGBM rejects special chars in names\n",
    "_seen, _cols = {}, []\n",
    "for _c in X.columns:                                           # sanitize to unique, 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()                                         # STANDARD CONTRACT\n",
    "NEG_WORD, POS_WORD = 'benign', 'attack'               # class names for plots\n",
    "print(f'loaded {len(df):,} rows x {len(feat)} features; positive rate {y.mean():.4f}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "99654d55",
   "metadata": {},
   "source": [
    "## 7. Exploratory data analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "676d771a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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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": "08218265",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ztdatW7u2Auk59dRT7fvvv4/JMQEAkBOoLYx6XitYlpDAF8U5nc/nc/3kCxbM3FaB3EoDAADEo8dnFBMAAACCFSpUyAXKNm/eTOZnLgh6bt682V1PXdfMRMYnAABArCUkWEJihAFNMhgAAABSqFSpkiUlJdn27dtt165dbnBGMj9zbqbnkSNHXFsfXdfMROATAAAgxhLyJbop0nUBAACQstS9Zs2atmnTJhcATU5O5hTlQAkJCa68XZmeCnrqumYmAp8AAAAxlpgYeQm71gUAAEC4+6REq1KlCqcGqSLwCQAAEI/BjSIMaDK4EQAAAJAxBD4BAABiTCO6R5rxGeno7wAAAACCEfgEAACIMWV7RhrQjHgQJAAAAABBCHwCAADEWEJiopsiXRcAAABA9Ah8AgAAxGH0yoh7fCaQ8QkAAABkBCkE2Vzx4sX9k/7wKVasmP/5mjVrbPXq1dazZ08rX768lS5d2lq1amWvv/66e+2MGTPcCGdat0SJEtasWTP75JNPUt3XwYMHrUiRIrZkyRL/vPvuu88KFSpkBw4c8M/r0aOHPfDAA+7ftWvXtlmzZrl/Dxs2zB3jF1984V937ty5bp306HXHHHOM+Xw+/zy9Nx1/hw4dgtbVsZQqVcouuuiioPlav0yZMvbrr7/6533zzTdWuXJl27FjR6r7XrVqleXP///fAWh/Ol/btm3zz3vkkUfsqquuSvd9AAAQicR8mhIinDinAAAAQEYQ+Mzm9uzZ458UgFy8eLH/eeHCha1t27ZWtGhR++WXX2znzp32xhtv2Jdfful/fZ06ddy6u3btshtuuMEuu+wy2759e9h9FSxY0E488UR/IFP0bwUu58+f75/3/fff26mnnhp2Gwo8Dh8+PEPvtUCBAjZ79mz/87ffftvq1auXYr1JkyZZvnz5bPLkye49e2rVqmX33HOP9evXz5KTk12A9LrrrrOnnnrKHVe0xzJy5MgMvQ8AANKlHp8RTloXAAAAQPQIfOZgCuhVqlTJXnvtNatWrZqb17RpU3vnnXdSrKvMSWUsKhi4cuXKVLd52mmn+QOfhw8ftqVLl9o111zjn6fXbtmyxdq0aRP29RdccIFt2rTJpk2bFvX7UebqW2+95X+uf19xxRUp1hs/frz179/f6tataxMmTAhadtttt1lSUpK9+OKLNmLECBc41XajdfPNN7ttBGZ9pmXz5s0uKB04rVixIur9AgDyhoSEf3t8RjQlcLsGAAAAZAR30jnY119/bV27do2o99eRI0dszJgxrlQ+XBalR5mcXpDzp59+subNmwcFQ/XYsmVLl2UajkrGhwwZkqGsz+7du7tS/EOHDtnChQtd2X3Dhg2D1lEgcurUqXbppZe67FUFQQMpE/SVV15xmZ8vvPCCjRo1yjKifv361qVLF3vyyScjWl/7UdA5cOrWrVuG9g0AyP0izfb0Z30CAAAAiBqDG+VgCgKqf2Va/vrrL9f7UwFBZUh+8MEH7nlqTj75ZNfzcuPGjS7Iecopp7hA588//+z6b2qeAqFp6d27t8u2VMm9emVGSuXorVu3dj1C1Z80XLbne++95wK36leqUv+hQ4e63p4qc/c0atTIle1rnUj6i6ZGwVNltt5xxx3prqsM1EsuuSRonjI+CX4CAMJJTPy3f2ek6wIAAACIHhmfOVi5cuXs77//TnMdDRikPpgKks6bN8/OOuusNNfXoEEKGCrA6QU+FURUsPG3335z81Lr7xmY9Tl48OAMZX0q2Kkszvfff99ldIbSMmV7elmZxx9/fFB5vGjfOm6V6U+ZMsUyqkGDBnbeeedFlPVZsWJFa9KkSdCUVmYtACBvU/V65Bmf8T5aAAAAIGfiVjoHO+OMM9xAP4EjoWcGr7T9hx9+cBmYokCiytAVTEwv8Cl9+vSxdevW2fTp06Pa9/nnn+9K2ZW1GZrNqv6ic+bMsaefftot06QR6AMDnwruqsep+nM+99xzLhNz3759llFeyXxqA0IBAJAhkfb3TEx06wIAAACIHnfSOdiAAQNcxqdGLt+wYYObp0BguBLxaCiw+e6771rVqlVdT1Av8KlAonpuKtM0klHRlXmpAZiiofL1r776ygUuw2V7KhCr96geoJoWLFhgy5cvd/1INRjTtddeaw8//LAb9Ell5i1atLD777/fMkoB2HPOOcdGjx6d4W0AABBK/bkjzviMoJc3AAAAgJQIfOZgKq+ePXu27d6925Wnq3dnr169rFOnTked8alRytXv06N/azT3SLI9PRpFvnjx4lHvv1WrVlanTp0U85XZecMNN/izPTU1btzYLrroIhcUHTlypCvV79u3r/81zz//vBvs6Ndff7WMuvfee127AAAAMguDGwEAAABZj8GNcpADBw6kmKfBe1TaHU6HDh3cADvRUqZnaPl82bJlLTk5OcW6GgjJM2zYsKBl6g2qgYcikVq5vvp8er0+VWYfjrJTPXfddVfQsurVq6dbpq5zqGxRjwZWCqTg6pEjRyJ4FwAARCaa0doZ1R0AAADIGAKfAAAAcSl1j6zwhlJ3AAAAIGModc+DHnvsMVeCHjoNGTIky/apHqTh9qlsy1jQoEjh9t+uXbuY7B8AgEAJ+RIsMcJJ6wIAAACIHhmfedDAgQPdFEsqn9+zZ4/FS9u2beO6fwAAwg1uFAkyPgEAAICMIfAJAAAQYypzj7jUPcL1AAAAAAQj8AkAABBjCYmRD1qkdQEAAABEj8AnAABAjFHqDgAAAGQ9Ap8AAAAxRqk7AAAAkPUIfAJZrMaW+Va3+N8xPc8/ljvf4mXDlD/ist+q5zSKy34fGv2rxUvvOhvist8Ei88I09+2e8LiJXG3Ly77rVZ8Z1z2WyLf7rjsN09JjHxwI60LAAAAIHoEPgEAAOJS6h7h4EYJBD4BAACAjCDwCQAAEGsKZkYa0CTwCQAAAGQIgU8AAIAYU5l75KO6k/EJAAAAZASBTwAAgBhjcCMAAAAg6xH4BAAAiEuPzwgzPil1BwAAADKEwCcAAEBcSt0jHNyIUncAAAAgQwh8AgAAxFoUPT61LgAAAIDoEfgEAACIMUrdAQAAgKxH4BMAACDWlMUZYak7GZ8AAABAxhD4BAAAiEfGZ4SDFjG4EQAAAJAxBD4BAABiLCEhMfLBjRIizAwFAAAAEITAJwAAQFxGdY8w45PBjQAAAIAMIYUgF6pdu7YVLVrUihcvbuXKlbNOnTrZpEmTgkrm2rZtG/Sas88+28aOHev+nZSUZLfeeqtVq1bNSpQoYfXr17dHHnkk3f3u27fPBgwYYFWrVnX7P+644+yDDz7wL1+1apXlz58y1t6hQwcbP368+/ewYcOsQIEC7ti96eSTT3bLZsyYYYmJiW6ejqtZs2b+93XhhRfanXfeGbTdp59+2k455RTz+XxpnqtZs2YF7Vvb1tS0aVMbOnSoe18AAGRJj8+IJkZ1BwAAADKCwGcuNW3aNNuzZ4/98ccfdumll9qVV15pL730kn/50qVL3TrhPPzww/b777/bzz//bP/88499/vnnLviZFgUXL7roIluwYIF9++23tnPnThs+fLhdc801NmHChKiOvU+fPu7YvWn27Nn+ZXXq1HHzdu3aZTfddJP17NnT7ev555+3MWPG2MKFC91669atswceeMBeeeWVqHqjad+7d++2LVu22KuvvmpTp061M888044cORLVewAAIJJR3SOaovg9BgAAAOD/EfjM5SpUqGDXXnutCwLec889/gCeMjMVmAxn/vz5dvHFF1vFihXdH1sNGjRwz9Py5Zdf2syZM+3999+3evXqWcGCBa1r164ui3LgwIFpZl1mhDI/FcxVNuayZctcduqIESOsX79+lpyc7IKi/fv3tyZNmmRo+4ULF3ZZsR9//LH98ssv9tlnn6W5/ubNm23x4sVB04oVKzL47gAAuZ56fEY4aV0AAAAA0eNOOo+44IILbNu2bS7TUxQ03LhxowtYhmrTpo09+uijLltyyZIlEW3/66+/tpNOOskqVaoUNL9bt262evXqTA8CKoCrDE+VzteqVcvNu/76613AVZmnOm4Feo9WlSpV7IQTTrDvv/8+zfVGjRrlSuMDJ713AABSL3WPYgIAAAAQNQKfeUTlypXd444dO9yjAoZDhgwJm/U5ePBgu+2222z06NHWvHlzO+aYY9LNeNy6dat/H4G8QKhKxyM1btw4K126tH+67rrr/Mv++usvN69IkSIua1V9Sb19KDtVwdpPPvnElb4XKlTIMoPel3feUqPs0t9++y1oUrYoAADh/FvGnhjhROATAAAAyAgCn3mEsjulTJky/nm9e/e29evX2/Tp04PWVVBUgxv98MMPtn37drv88stdn1BljKZGgyj9/fffKeZv2rTJPZYvX95tV2XomgIdOnTIDSrkUTaq+nZ608svv+xfpiCsN1/HpH6igY499lj32LhxY8vMcxd43sJRWwCV1QdOKvkHACAcenwCAAAAWY/AZx6hjE0FJxs2bOifp2CjsjtT6/UpGt180KBBrpemsi1Tc/rpp9vcuXP9gU6Psh6rV6/ugoAqG8+XL5+tWbMmaB09r1mzZlTvR6PGK6tz4sSJbhCmrKJgrgZs0ujwAABkGq93Z6QTAAAAgKhxJ53LKUtTJev33nuvC3Aq8BjoqquusrVr17oBjTzPPPOMzZo1yw4cOGAHDx50AcZSpUoFBU1DnXXWWW4woB49etiff/7pXjdp0iQbOnSoG+BIgxFp3+q/qRJ7jcqelJRkTz31lCtJb9WqVdTvTcekgZs0Cn1m07Ep4/XCCy+0Zs2a2fnnn5/p+wAA5F0Rj+j+vwkAAABA9Ah85lKdO3e24sWLW/369e3tt992AwHdeOONKdZT1qcyOlXSHjii+c033+x6Z2r6/PPPXRBT2Z9plexpnRYtWrjsSGVkKmj4xBNPWN++fYMGAdI+GzVqZFWrVrUpU6bYp59+6gYl8rzxxhvu2L2pdu3aqe5Xx6nXa2T3zKB9632WLVvWHXfHjh1dK4DQgDEAAEclQYMWJUY2aV0AAAAAUcsf/UuQ3a1atSrN5T6fL+i5Bg8KHEAo9HmkFKR89tln3aSMzzPOOCNFQFLl9hqQKDXKDtUUTocOHVKMDl+tWjXbv39/mu8v0nOV1r4BAMj0Hp8RBjQjXS+1Cob77rvPDRyogfo0aOGIESPszDPPTPN1+n0YrhWOqjRUEQIAAADkBAQ+kSWUwfnhhx/aiy++6AYHUn9PAADwP142ZyQiXS8MtbRRP+zbbrvNVYHoy8dzzz3XvvnmGzv11FPTfb1+j+uLTQ8VEAAAAMhJCHwiYnPmzAmbIdKyZcsUo6t7I52rx2e8lS5d2g4fPpxivgZiKlasWFyOCQCQt0XTuzOjPT7nzZtn7777rj3++ON25513unm9e/e2pk2b2sCBA2327NnpbqN79+5Wvnz5DO0fAAAAiDcCn4iYBi/as2dPjjtjO3fujPchAAAQIiGK0dozFvhUpqcyNPv16xfUx1s9rAcPHuwGN6xRo0aa21D7mH/++cf1vz6aknsAAAAgHhjcCAAAIOZ3YAnRTRnw888/W4MGDaxkyZJB81u3bu0eFy5cmO426tSpY6VKlXKBz169erlqCQAAACCnIOMTAAAg1hISLSHSjM//rRc6wJ9UqFDBtZYJJ7Ue2968DRs2pLrLMmXK2E033eSqPTSg0XfffWcvvPCCK5//8ccfUwRTAQAAgOyIwCcAAECsRZPJ+b/1unXrlmKRemlrBPZw9u/f74KWoVTu7i1Pza233hr0/OKLL3aZoldccYWNGjXK7r777siOHQAAAIgjAp8AAAAxpn6ZCRGO1u711vz444+tXr16KTI+U1OkSBFLSkpKMf/AgQP+5dG4/PLL7Y477rDp06cT+AQAAECOQOATyGJzCp9p64s2iel57nDga4uXEy310sms9NDoX+Oy3zZ9m1m8JC6dEpf9JlhyXPbbtvB8i5diS9If/Tor7GraIS773ZevlMWLL6+0H1cwM9LBgv63noKeTZpE/vtEJe3r168PWwIvVatWtWhpMKTt27dH/ToAAAAgHvLIXxcAAADZiLI9o5ky4LjjjrNly5a5UdkD/fDDD/7l0dAI76tWrUozyxQZ89NPP9kFF1xgZcuWtaJFi1rTpk3t2WefDVpn9uzZduqpp7rllStXtltuucX27NnDKQcAAEgDgU8AAIB4ZXxGOmVA9+7d7ciRI/bKK6/456n0fcyYMdamTRuXvSlr1qyxP/74I+i1W7ZsSbG9F1980c0/++yzM3Q8CG/atGluEKnNmzfbvffea88884ydf/75tm7dOv86CxcutI4dO9q+ffvsySeftGuuucZd10suuYTTCgAAkAZK3QEAAHJAj89oKbipwNigQYNcUE2l8m+88YbL2hw9erR/vd69e9vMmTNdRqenVq1adumll1qzZs3cYEizZs2yd99912WJXnfddRk6HqSkbFyd//POO88mTpxoial8JgYPHmxlypSxGTNmWMmSJd282rVr27XXXusCp507d+b0AgAAhEHGJwAAQKwlJEY3ZdCbb75pt912m40bN86VRh86dMg+++wza9euXZqv0+jt8+bNcyPG6/Xz58+3gQMH2rfffutKrZE53n77bdu0aZM9+OCDLui5d+9eS05OThEc/fLLL61Xr17+oKcoYFq8eHGbMGEClwMAACAVZHwCAADEWmLCv1Ok62aQsjUff/xxN6VGWYShXn311QzvE5GbPn26C2ZqEKpu3bq5nqzFihWzK6+80p566il3/X799Vc7fPiwnXDCCUGvLViwoMvA/fnnnznlAAAAqSDwCQAAEGMJCYluinRd5E7Lly93Qc2uXbta37597eGHH3aB6Oeee8527txp77zzjm3cuNGtW6VKlRSv17zvvvsuzX2ozUFoz9YVK1Zk8jsBAADIngh8AgAAxFpCFJmcGU/4RDanUdk1YNH111/vH8X9oosusoMHD9rLL79s999/v+3fv9/NL1SoUIrXKyPUW56aUaNG2fDhw7PoHQAAAGRvpBAAAADk0h6fyN6KFCniHnv27Bk0//LLL3ePc+bM8a+TlJSU4vUHDhzwL09N//797bfffguaPv7440x8FwAAANkXGZ8AAACxppHaIx2tPYOjuiP7q1q1qi1evNgqVaoUNL9ixYrucceOHVa3bl33b6/kPZDmaRtp0ba87QEAAOQ1pBAAAADE/A4sMboJuVKrVq3cowY3CrRhwwb3WKFCBWvatKnlz5/ffvzxx6B1VA6/cOFCN8ARAAAAwuNOGgAAIOYSoihzJ+Mzt+rRo4d7HD16dND81157zQU7O3ToYKVKlbJOnTrZ+PHjbffu3f51xo0b53qEXnLJJTE/biA7Sz6wz/b/Mtf2fvu5e9RzAEDeRak7AABArGlgo0gHN4p0PeQ4xx9/vF199dX2+uuvu9Hd27dv70Z1f//9923QoEH+MvYHH3zQTj75ZLe8X79+tm7dOhs5cqR17tzZzj777Hi/DSBbSVq6yA4uX/Tvk83/ZlMXaXFSfA8KABA3ZHzGUPHixf1TQkKCFStWzP98zZo1tnr1atfcvnz58la6dGlX/qQbYdFNcGJiolu3RIkS1qxZM/vkk09S3ZfKn9TsfsmSJf559913nxsRVI3wAzMNHnjgAffv2rVr26xZs9y/hw0b5o7xiy++8K87d+5ct0569LpjjjnGfD6ff57em45fmQuBdCzKZNAIpoG0fpkyZezXX3/1z/vmm2+scuXKrt9VWjQ66oABA9wfC0WLFnUlYPoDwrNq1SqXRRFKx6ZsCo2s6l2XAgUKWMGCBf3PH3rooXTfPwAA6WJwI/zPSy+95O67fvjhB7vtttvs559/tqeeeironqNly5Y2ffp0d2+ne5xXXnnF+vbtaxMnTuQ8AiGSd21zjwWq1g56DgDImwh8xpDKkbxJAUg1s/eeFy5c2Nq2besCdb/88ovt3LnT3njjDfvyyy/9r69Tp45bd9euXXbDDTfYZZddZtu3bw+7LwXrTjzxRH8gU/RvBS7nz5/vn/f999/bqaeeGnYbCjwOHz48Q+9VAcPZs2f7n7/99ttWr169FOtNmjTJ8uXLZ5MnT3bv2VOrVi275557XFZDcnKyC5Bed9117g8BHVdqFGxVEHXBggX27bffum3qPWg777zzTsR/gHjXRX9UDB482P9c/wYAINMGN4p0Qq6le6ahQ4e6L2b1xfXy5ctdADSU7td037Z//37bvHmzPf/88+7LcADBEkuVc4+HNqwKeg4AyJsIfGYTCuhpRE/1dKpWrZqbp2b24YJ1ypy86qqrXDBw5cqVqW7ztNNO8wc+VT61dOlSu+aaa/zz9NotW7ZYmzZtwr7+ggsusE2bNtm0adOifj/KXH3rrbf8z/XvK664IsV6yrDs37+/G7F0woQJQct005+UlGQvvviijRgxwgVOtd20KFA8c+ZMl+Gp9RUA7tq1q8ukGDhwYFAWambSHyAKZAdOK1asyJJ9AQByAQUzIx3YiMAnAESsUMPmVrB+c8tfsZp71HMAQN5F4DOb+Prrr12ATmXi6Tly5IiNGTPGlcqHy6IMzAzwgpw//fSTNW/ePCgYqkeVTinLNByVgw8ZMiRDWZ/du3d3pfiHDh1yI46qNKthw4ZB62zbts2mTp1ql156qcteVRA0kDJBVcqlzM8XXnjBRo0aFdF5POmkk1wQOVC3bt1cP6xly5ZZVtCxKVAdOGmfAACERcYnAGSJxMJFXU/PYu3Oc496DgDIuxjcKJtQEFD9K9Py119/ud6fCggqQ/KDDz5wz1OjJvgqm9q4caMLcp5yyiku0KneUcp81DwFQtPSu3dvl22pTMpoyqlUjt66dWvXI1T9ScNle7733nsucKt+pSr1V5mXenuqzN3TqFEjl7WpdSLpL7p169aw59ELhGq5l1GbmZS1GjqqqjI+CX4CAMLyj9gegUjXAwAAABCEO+lsoly5cvb333+nuY4GDFLPSgVJ582bZ2eddVaa62vQIAUMFeD0Ap8KIirY+Ntvv7l5qfX3DMz6VF/LjGR9KtipLE6VnSujM5SWKdtT6tev70Y2DSyPF+1bx60y/SlTpmT4PKpkXzRwlN6T+oZqCqTsVPXZyoiKFStakyZNgqa0snEBAHlcYhSl7ozqDgAAAGQIgc9s4owzznAD/WR2D0qvtF0jhSoDUxRIVBm6gonpBT6lT58+rkxco4lG4/zzz3el7MraDM3CVH/ROXPm2NNPP+2WadII9IGBTwV31eNUPT6fe+45l1WpEdvTO48afd4LdHo+/vhjl+nZoEEDq1KlisuaXbNmTdA6el6zZs2o3iMAABkTzcBGDG4EAAAAZASBz2xiwIABLlNRI5dv2LDBzVMgMFyJeDQU2Hz33XetatWqrieoF/hUIFE9N5UhmR5lQSrzUgMwRUPl61999ZULXIbL9lQgVu9RPUA1aSR2jWSqfqQajOnaa6+1hx9+2JWpq2S8RYsWdv/996e5z86dO7v33KNHD/vzzz/d6KgKKGtwo0ceecT1UFXQUyO/q3/prl273ABKem+FChWyVq1aRfUeAQA4qlL3SCcAAAAAUeNOOptQqfTs2bNt9+7drjxdvTt79eplnTp1OuqMT404rn6fHv1bo7lHku3p0SjyxYsXj3r/CiTWqVMnxXxldt5www3+bE9NjRs3dgFJBUVHjhzpSvX79u3rf83zzz/vBjv69ddfU92fApvK7jzuuOPc+9M2NDjSSy+95M5n4GBECugqG1VBYZXRf/rpp64VAAAAWY7BjQAAAIAsx+BGcXLgwIEU8zR4j0q7w+nQoYMbLCdaCuqFls+XLVs2RX9L0UBIHmVIBlJAUAMPRSK1cn31+fR6farMPhxlp3ruuuuuoGXVq1e37du3p7t/ZbY+88wzbkqNMl3Hjh2b7rYUMAUAIMt6fEa6LgAAAICoEfgEAACIMV9CgpsiXRcAAABA9Ch1z+Eee+wxV4IeOql/ZVZRD9Jw+1TGaixoUKRw+2/Xrl1M9g8AwNGLpr8nt2sAAABARpDxmcMNHDjQTbGk8vk9e/ZYvLRt2zau+wcA4KhFM2gRgxsBAAAAGULgEwAAIMZ8CZGXsGtdAAAAANEj8AkAABBrZHwCAAAAWY7AJwAAQKwp2zPSQYsY3AgAAADIEAKfAAAA8cj4TKTHJwBkJ8kH9lnS0kWWvGubJZYqZ4UaNrfEwkXjfVgAgKNA4BMAACDG6PEJANmPgp4Hly/698nm9e6hSIuT4ntQAICjQuATyGL1S26wBmWKxfQ8b7M6Fi++0vXist/edTbEZb+JS6dYvCxpeE5c9tty8YS47HdfodIWL4eadYzLfpPyxyfLJNGXbPGSLzkppvsrEOP9+dHjEwCyHWV6SoGqte3QhlX+5wCAnCvCGisAAABkmoRE80U4uSApACDLqbxdFPQMfA4AyLnI+AQAAIg1BjcCgGxHPT0lsMcnACBnI/AJAAAQY76EhH+zOSNcFwCQ9TSQET09ASB3IfAJAAAQcwn/Zn1Gui4AAACAqBH4BAAAiDUGNwIAAACyHIFPAACAGPMlRF7CrnUBAAAARI/AJwAAQKyR8QkAAABkOQKfAAAAMeazBDdFui4AAACA6BH4BAAAiDGN6B75qO6RrQcAAAAgGIFPAACAWFN/z0gDmhGP/g4AAAAgEIFPAACAeJS6Rzq4EaXuAAAAQIZQO4UsU7t2bZs1a5YNGzbMEhIS7IsvvvAvmzt3rlueHr2uWLFiVrx4catYsaL169fPDh48aM8884y1adPGkpOT/esuWLDAKlSoYNdff71bX1OBAgWsYMGC/ucPPfSQjR071vLnz++fp6l69er+7bz88svWoEEDN79q1arWo0ePLDg7AIA87X+l7pFMEWeGAgAAAAjCnTRiokyZMjZ8+PAMvXbp0qW2Z88eW7JkiS1atMheeuklu/nmm92yUaNGuccjR47Ydddd5wKbWq71NfXt29cGDx7sf65/S4cOHfzzNK1bt87NnzFjht1///324YcfuvkLFy60zp07Z9p5AADg/0vdo5gAAAAARI1Sd8TEBRdcYN99951NmzYtw4HEcuXKudcqAJqYmGivvvqqnX766XbhhRfa+++/7zJDr7nmmqM6zvnz59tpp51mTZs2dc+VZRrJNjdv3mxbtmwJmrdixYqjOhYAQO6lMvfIBzci8AkAOVnygX2WtHSRJe/aZomlylmhhs0tsXDReB8WAOQJBD4Rmw9a/vw2ZMgQl/WZ0cCngotTp061/v37u+fNmzd3WZ69e/e2X375xZXVqzT+aKh8XqX5I0aMsDPPPNNatmzpyuXTo8zTjGa0AgDyaI/PCHt30uMTAHI2BT0PLl/075PN691DkRYnxfegACCPoNQdMaMA5caNG+3LL7+M6nVNmjSx0qVLW6VKlVwANbDn5n333ecyKxUAbdSoUcTbnDlzptumN51zzjlufrt27ezdd9+177//3jp27OgyPhUETY+Csb/99lvQ9PHHH0f1PgEAeUek/T39fT4BADmWMj2lQNXaQc8BAFmPO2nEjIKW6rEZbWbk4sWLbefOnbZ7926rW7euXXnllf5lhQsXtmOOOcYaN24c1Tbbt2/vtulNU6ZM8S/r0qWLe675KqdXz09lmqZFAVIFaAOnevXqRXVMAIA8hB6fAJBnqLxdDm1YFfQcAJD1CHwipvr06eMGEpo+fXrUr9Uo65dddlnQ6PBZHajt3r27K6lXBicAAJlb6p4Y4USPTwDIydTTs2D95pa/YjX3qOcAgNigxydiSv0ylfU5aNAgK1GiRFSv3b9/v02YMCHq7M5ofPLJJ3bw4EHXh7RkyZKuLF8Zp61bt86yfQIA8mjgM8K+1AQ+4+vrr792AyuWL1/etcbR/UGouXPn2iuvvGKvv/56XI4RQPamgYzo6QkA8UHGJ2LuqquuctmbkWrYsKFbv2rVqq5H6Lhx4476GGbMmOG2GTjt3bvXypQpYy+++KIrny9VqpQNGDDAnn32Wdf7EwCATBNNf096fMZFUlKS6/etwQ5vvvlm69mzp9WqVcsFOEP9+eef9sYbb8TlOAEAAJA6Mj6RZVat+reHzamnnho0v2DBgrZ69eqItuHz+SIKYqbmpZdeCht41RSOApzK7AAAICslJyRackK+iNdF7D3xxBNuMMRhw4bZhRde6L58feyxx+yGG26wBQsWuC9KExO5NgAAANkZgU8AAIAYU5l7xKXuEa6HzPXuu++6L0rvvfde97xp06Yu+/Ohhx5y8zZt2mTvvfeeFSpUiFMPAACQTfE1NeJqw4YNKUrONdWuXZsrAwDI5YMbRT4h9v766y9r27ZtivnqVf7222/b1KlTXSB0165dXB4AAIBsioxPxJX6du7Zs4erAADIU/z9OyNcF7FXtmxZ27x5c9hll156qVt+0UUXuTY5vXr1ivnxAQAAIH3cSQMAAMRBLLI9NUDPXXfd5b5oLFKkiLVp08a+/PLLiF67fv1669Gjh5UuXdqNZN61a1dbuXKl5RXHH3+8ffbZZ6kuV7bn9OnTXfWKskABAACQ/RD4BAAAiLFIR3SPJjM0HPWofPLJJ+2KK66wZ555xvLly2fnnnuuzZo1K83XqRrj9NNPd4P7KKg3fPhw+/nnn619+/a2bds2yws0oNGcOXNs7ty5qa6jQPK3335rVapUiemxAQAAIDKUugMAAMRYNNmcGc36nDdvnhug5/HHH7c777zTzevdu7cbpGfgwIE2e/bsVF87atQoW758udvGiSee6Oadc8457rUjR450A/zkdn369LFLLrnEChYsmOZ6jRs3tt9//z3PBIQBAAByEjI+AQAAYsxnUWR8ZvB2beLEiS7Ds1+/fv55hQsXtr59+7pMxrVr16b5WgU8vaCnNGrUyDp27GgTJkywvCAhIcGKFStmBQoUSHddDcxYq1atmBwXAAAAIkfgEwAAIMZ8UY3s/q8VK1bY4sWLg6bUBt8RlaY3aNDA9ecM1Lp1a/e4cOHCsK9LTk62RYsW2QknnJBimV77559/2u7duy2302jtZ599drrZrQ8++KDLhmWwRgAAgOyHUncgi/37R2tsv2NI9B2xuElIjs9uj3IAkIzvNz7vV1oujk/W1U9NesRlv82WfGLx4kuIz+er/JYlcdlvvv17LF4212gV0/3Fa8R0faYi/Vx563Xr1i3FsqFDh9qwYcPCvm7jxo1he0968zQoTzjbt293gyKl99qGDRtabvb888+7dgDjxo1Lc71rr73WHnvsMXvhhRfcQFIAAADIPgh8AgAAxJovwXy+CAPq/1vv448/tnr16gUtqlChQqov279/vxUqVCjFfJW7e8tTe51k5LW5yUcffWSXXXZZmudYKlasaD179rQPPviAwCcAAEA2Q+ATAAAgHj0+I6wG8NZT0LNJkyYR76NIkSIuczPUgQMH/MtTe51k5LW5yR9//BHUHzUtLVu2tLfeeivLjwkAAADRIfAJAACQC0d1V1n6+vXrw5bAS9WqVcO+rmzZsi7b01svmtfmJj6f1101MuqNCgAAgOyFwY0AAABywOBG0TruuONs2bJl9s8//wTN/+GHH/zLw0lMTLRmzZrZjz/+mGKZXlunTh0rUaKE5XY1a9a0BQsWRLSu1tP6AAAAyF4IfAIAAMRY5EHPyDNDQ3Xv3t2OHDlir7zyin+eytfHjBljbdq0sRo1arh5a9ascWXdoa+dP39+UPBz6dKl9vXXX9sll1xiecF5551n48ePt+XLl6e5npZrPa0PAACA7IXAJwAAQC4MfCq4qSDloEGDbODAgS4AesYZZ9iqVavcKOSe3r17W+PGjYNe279/f6tbt64L5j3++OP29NNP25lnnmmVKlWyO+64w/ICnbOiRYta+/bt7b333rPDhw8HLddzzT/99NPdev/973/jdqwAAAAIjx6fAAAAMRfFqO4ZDHzKm2++affee6+NGzfOduzYYc2bN7fPPvvM2rVrl+brVMo+Y8YMGzBggI0YMcL1r+zQoYM99dRT6Y5ynltotPbJkyfbhRdeaJdffrkb0KlBgwbu3Ozevdu1EdDo9pUrV7bPP//cBYUBAACQvRD4BAAAyIWDG0nhwoVdxqam1CjAGU716tXt/ffft7zsxBNPtMWLF9vLL79skyZNsiVLlrieqSVLlrQWLVpYly5d7Prrr7fSpUvH+1ABAAAQBoFPAACAXBr4xNE5cOCATZ061WW89unTx84//3yrUqUKpxUAACCHIPAJAAAQp1HdI10Xsbd582Y7+eST7a+//jKfz2cJCQmul+dHH31knTp14pIAAADkAAxuBAAAEGPq7xnNhNh74IEH3EBQ6nOqvqjqb6rWAdddd12W7fPBBx90AdamTZumWDZ79mw79dRTXfBVfUVvueUW27NnT5YdCwAAQG5AxicAAECMKdszmVL3bG3atGluxPsnnnjCP08DGGmgo6VLl1rDhg0zdX/r1q2zhx56yIoVK5Zi2cKFC61jx47WuHFje/LJJ926Oq7ly5fblClTMvU4AAAAchMyPhGVUaNGWaNGjdzIprVr17b777/fjhw54pbp+axZs4LWHzZsmF1zzTX21ltvWfHixd2kbIl8+fL5n59zzjlpDriQmJjoX7dWrVr2/PPPu2UaZfXOO+8MWv/pp5+2U045xZo0aeJ/jV6v4/Wef/fdd3bVVVdZoUKF/PM09ezZ020jKSnJbr31VqtWrZobubV+/fr2yCOP8EkBAGR6j89IJ8TemjVrXIZlID1X2fumTZsyfX+6pznppJPshBNOSLFs8ODBVqZMGXdfpMGURowY4e6H1H9UAVoAAACER+ATEXv44YddJsIrr7xiu3fvtk8++cQmTJhgN954Y7qvveKKK1w5lqaxY8faaaed5n+eXqZCnTp1/OtOnjzZ7r33Xvvll1/cDf+YMWNcFoQo+0FlaTo+jcDqvaZBgwZuH95z7Vu0HW+epnfeecf/Pn///Xf7+eef3citn3/+uQt+AgCQWSh1z/70Rai+rA3kPT98+HCm7uvbb7+1iRMnui9wQ+le5Msvv7RevXq50eQ9ykbVF7e6FwMAAEB4lLojIrt27XJBxXfffdfatWvn5rVo0cLGjx9vrVq1sttvvz0mZ1KZnM2aNbM//vjDLr30Upfx0K9fP5s7d67ddNNN1r9/f7fO0Zg/f75dfPHFVrFiRfdcgVNN6Q2AsGXLlqB5K1asOKrjAADkXozqnjOox+dPP/0UdD8kKjEvXbp0ivVbtmwZ9T5UOXPzzTe7Chnd44T69ddfXaA1NBO0YMGCdtxxx7kvagEAABAegU9EZM6cOXbo0CE777zzgubrhrtmzZr2zTffxORMKtNT2ZjeHxYq91IZ/UUXXWRLliyx995776j30aZNG3v00UddibyyQ9VPK5IWAMOHDz/qfQMA8gaf79+sz0jXRXyoOkRTKH3RGsgb9d1r/xONl156yVavXm3Tp08Pu3zjxo3usUqVKimWaZ5a+KSFL2cBAEBeRuATEdm6dauVL1/e9eYMpUb/Wp5V/vrrL5dVoT8mVJKu/pte6bn+yFBpu7I81eNKfTujGTk1cMCC//73vzZkyBDXR6tUqVI2evRoV8ZfvXp1e+655+z8889PdVv6A+iSSy5JkfHZrVu3DL1nAEDuRsZn9qd2Ollt27Ztdt9997ngaoUKFcKus3//fvcY7h5Hpffe8tTw5SwAAMjLCHwiIuXKlXPBTQUfQ4OfavCvoGj+/PldVmggPS9QoMBRneVjjjnGXza+du1al3WqQKTKwuTYY491j5FkZgZSkPOee+5JMV/vQ8FVTeplqoGNVFavQQ50HsJRWbxXGg8AQLp8CRFnfGpdxF6fPn2yfB+6Dylbtqz/niYcDdDo9RwNdeDAAf/y1PDlLAAAyMsY3AgRadu2rQtgaqCfQBpYSOVZHTp0sBo1arh/B9JzlcJnFu3jrLPOsi+++CImV06jug8aNMj27dvnMk8BAMgMyVFOyH3UJ1RVK7fccott2LDB9RPVpGCmvjjWv7dv3+4vcfdK3gNpXtWqVdPcj76YVWVM4FSvXr0se18AAADZCYFPRESl5ioBV9aARh5Vk/1Fixa5EUavvvpqa9iwofXo0cOefPJJW7lypSUnJ9uMGTPss88+swsvvDDTzrJu8FXSHm12ZzSeeeYZmzVrlvvD4+DBg270eJW+6z0CAJAZGNUd69evd/dLCnyqusWbfvjhB1u2bJn79/33329NmzZ11Sg//vhj0EnTPYq+gFa/dQAAAIRHqTuiKsdSAFSjjqrsW709//Of//jLxTW6unpVderUyZXF161b18aNG2eNGjU6qrOsQGrx4sXdv4sWLep6bQ4dOvSor5xGqVcZu0cDJimoq35ZKjnTfjXAkf7gmDRpksv+BAAgM9DjE7q/+Oijj1KcCN1XqdWOvojVvZS+fNW91fjx410vUO9+RPdY6n0e2mMcAAAA/y/Bp2EoAWS6xYsXuz9qJk+eYg0aNIjpGU70RT+qbGbxJcSnF12ypRx4KxYSLX7nuvDhvXHZ709NesRlv82WfGLxUiA5ZW+9WCi5fVVc9ptv/x6Ll801WsV0f8uWL7fO511gv/32mysBjtXvhjc/mWd16kVWvbByxRLr3bV1zI4R8aX2QfoCWdfb89NPP9nJJ5/s+prri+Z169bZyJEjrV27dhlq/+N9DvlMAQCAnCQj9zCUugMAAMQx6zO9CVBVyvTp091ARgMGDHC9Qfv27WsTJ07k5AAAAKSBUnfE3Xvvvedu3kOpN6jKuAAAyG2Sff9Oka6LvEM90sM59dRT7fvvv4/58QAAAORkBD4Rd5deeqmbAADIK+jxCQAAAGQ9Ap8AAABxGtU90nUBAAAARI/AJwAAQIxpaMlIh5dkGEoAAAAgYwh8AgAAxKHUPTnCgYsY4AgAAADIGAKfAAAAMUapOwAAAJD1CHwCWS4h5tk6JQ5stXgpMO29uOz323ZPxGW/bQvPt3jZV6h0XPbbbMkncdnvr427WrxUWjw3LvvdXaFMXPZb0JIsr0hOyBeX/VLqDgAAAGQ9Ap8AAAAxxqjuAAAAQNYj8AkAABBjGtcoOdLBjbL6YAAAAIBcisAnAABAXErdIxzciMgnAAAAkCEEPgEAAGKMHp8AAABA1iPwCQAAEGPJluCmSNcFAAAAED0CnwAAALHmSt0jXxcAAABA9Ah8AgAAxJj6e0be45OMTwAAACAjCHwCAADEmEZ0j3RU90jXAwAAABCMwCcAAECMKZYZaak7cU8AAAAgYwh8AgAAxJjPEtwU6boAAAAAokfgEwAAIMaU7RlpCXvEgyABAAAACELgEwAAIMYUzIy41J3AJwAAAJAhiRl7mVnt2rWtaNGiVrx4cTdVrlzZZsyYYfXq1Qu7/tatW+3qq6+28uXLu/VPPvlk++abb/zLzzjjDHvxxRf9z7/++mtLSEgIWmfUqFHWsWPHNI+rQ4cOVrhwYStRooSVLl3aTj31VBs7dmzQOtruunXrguZdddVVNmLECPdvrZ8/f353nCVLlrTWrVvb999/n2JfnTt3tkqVKtnhw4fd83POOcd/PvR6HYf3/K233rJhw4bZNddc43/9vn37bMCAAVa1alV3Lo877jh7//33Uxxr27Ztg+adffbZKd5TKO1Lrx0zZkzQfF0Dzde18tbzjmnVqlXuuFM7r+PHj08xX8fRqVMn//OPPvrImjdv7s5bxYoV7dxzz7Xdu3f7z3GhQoX850RTz549/a9dvXq1e67PiK5dq1at7PXXX4/4M6Tj13sL3KY0atQo6P0WKFDAfT40NW3a1IYOHequhWfNmjXWrVs3K1eunDuOli1b2uTJk9M83wAAZCTwGekEAAAAIIaBT5k2bZrt2bPHTX///Xeq6x04cMAFLBUAW7RokW3ZssUF27p06WLffvutW0cBylmzZvlfo383aNAgxTytl57XXnvN7UuBtNtuu80GDx5sd999d1TvTYE+va/t27fbmWeeaT169AhavnHjRhd0O3jwoDsPMmXKFP/5UDDwpZde8j+/4oorgl7v8/nsoosusgULFrhzsHPnThs+fLj169fP3nnnnaB1ly5d6t9HNOrXr29vv/120HWYOnWqVatWzbLC8uXLXWDyhRdesF27dtmyZctSBCHvvfde/znR5L3XzZs3uwCvAsC//PKLOx9vvPGGffnllxF/hiQxMdGdqz/++CPV4+zTp4/bjrbx6quvunOia3zkyBG3vHfv3tawYUMXHNdx6f0okAsAQGZJ9iVENQEAAACIceAzUm+++aYLMiljUNmNRYoUcQGya6+91gYNGuTWOe2001IEOe+4444U87RepEqVKmXdu3d3Acgnn3zSHUO0lAGpoOWGDRtcEMyjgF2bNm3s8ssvD5sJmR4F9GbOnOkyPJUlW7BgQevatavLSBw4cKALjHqUFaqgaLR0rhSMVJBWPv30U2vfvr3LlswKCxcudAFD7VeZl8qWvPLKK11mZXqeeuoplz2roLUXmFU2phcYjeQzJNrvTTfdZPfff3+6+1RGroKtH3/8sQu2fvbZZ27+/Pnz7T//+Y/bh66L1kkv4K7PxuLFi4OmFStWpHsMAIA8KppsTzI+AQAAgOwb+FTZ+llnneXKnAOpnHju3LmuzFjBpfXr17ssO2Xe/fbbby4z79dff3XPVX6s4ONJJ50U9f5Vbp2cnOwCWtFSRqeCbmXKlHGTRwG4Sy+91C677DL75JNPXPZitOdE70XBvtBzonOgbEmPgocKXnrZj5FSEFCZqu+++657rnL7Xr16WVZRSbiCnwrcKgtz//79UZ0PBX51zBn9DHmU5asszrSyPgNVqVLFTjjhBH87AwW0r7/+eheU1mcuEmrDoEBt4KRjAwAgHBfPjDT4ySkEAAAAYh/4VE9LZfVpuv3221NdT70Z1QM0lIJ+Ckju2LHDZSGqx+V3333nsu+OPfZYF+Rq3LixK21Wtufxxx+foWxFZW2qL6T2EyllY+p9qfRavUcnTJjgekPKkiVL3DEqm1SZgGXLlrUPP/wwqmNK65x4ywOPf8iQIRnK+lS2qgKeKtlX4FfBw6xSt25d++qrr1ymo4J+Oue33HKLvweqPPjgg/7PjCY9l23btoU9H9F8hjwKUN944432wAMPRHzs2ra3DQU8FQjVOa9evbqdcsoprt1AWvr37++C9YGTMkkBAAhHI7pHMwEAAACIceBTPS3Vi1GTSslTo0FiwvUA3bRpk+vJ6GVSen0+NSnYJHr05kXS3zMcBd4UOPP2ky9fPjt06FDQOnruBTZFJeF6Xyqv1uBGgdmi48aNs3bt2rlMQS+rMtpy97TOiShoGEh9J5URO3369Kj206JFC9cfUwM3KRiZ2uBFmUXXS0FgBTJVWq/zovJ1j4KJ3mdGk56ndT6i/QwFtgfQgETpBSw9yqj1tqF9PfHEEy7rdu3ata6/p7KP06KBnJo0aRI0pTbQFwAAPl9CVBMAAACAbFrqrhHbv/jiC0tKSgqar4w4lRUrqzKwz2dqgc9o+nuGBmgVHDvxxBPd8xo1ariBjwLpec2aNVO8VsGwV155xR5++GEXHFPvTQ0YNG/ePJclqGn06NGuFNvrpRnpOVGJthfoDDwn6nGpgZ0CKSirQZoykvWpPqRPP/10lpa5h1JAWO9Rk7If06P1Jk2aFNTbNCOfIY+ycJWFGUnWpwKqGmTK+8wF0rVQ9mgk7wEAgEgxqjsAAACQAwOfClwpw9CbFKhStqKy6BR4U89E9X58/fXX3YjaDz30kP+1yuhUgEll5l4vTz3OmDHDDRYTbcbnP//847IP1a/x1ltvtQoVKrj5ytBUQExBR2WDqrT5999/t86dO4fdzjHHHOP6hGoAHpXiayAblbqrn6Um9ZJUhl/oaOxp0b70fnQsf/75p+slqsCfBjd65JFHwva6vOqqq1wGYrS9Sm+44QbXH1R9VCMReP00BWbFBs73RkH3KDit6+qV6Xsj1itjNj3K0FQA8rrrrvP31VRLAZXqS6SfoUBqv6ABi1ILSOuz+cMPP9iFF15ozZo1s/PPP9/N12BJuqYqoVeLgLFjx0b0HgAAiCbwGWmZeyrfCQIAAACIdeBz5cqVbjRsbypWrJh7VEak/q0Ak8q4lUWpQYE6dOgQ1K9RfSKVRanyYm9kdj3XfJUTR+Kaa65xvUCV2Tly5Eg3wvdjjz3mXz506FBr3ry5ywDVsSigqQCZAmup0QjzGh1epdsKVqqM2cv41KTgYjTl7gpsKltRfU0VANX7vOeee9w+UsvMVNangnIKxkVDWasdO3aMaF0FMwOvnyYNtiQaRT1wvrJgA6ln5wcffOD6sur8a/AnBZwVtPQo4Kxl3qSWAaJrO3v2bNu9e7f7jGhbOg+dOnVyyyP9DAXS9dR1UQA80BtvvOFGmldWaN++fd25UQsBtUAQHYOCoPoMNmrUyF0rBT8BAMgsZHwCAAAAWS/Bl1ptMYCjoixlje4+efJUqx/SuiCrld6fer/UrFZg2ntx2e+37Z6Iy37bFo4uAzsz7StUOi779Vl8+g3+2rirxUulxXPjst+S+XbHZb8FLbitSG62bPlyO/vc81zFiao3YvW74f7Rv1m12pHtb/2qxXZf36YxO0bkft7nkM8UAADI7fcwWTvSDQAAAFKIZrR2RnUHAAAAsvHgRplNI5UHlkt7k3pC5iU33XRT2POgEnAAAJCN/a93ZyST1gUAAAAQvRyZ8amBhWD2/PPPuwkAAOQsycn/TpGuCwAAACCPBD4BAAByMn82Z4TrAgAAAIgegU8AAIAYcxXskQY+s/pgAAAAgFwqR/b4BAAAyMkU9EyOcIp1xufOnTutX79+VqFCBStWrJidfvrp9tNPP0X02quuusoSEhJSTI0aNcry4wYAAABCkfEJAAAQYz6fz02RrhsrycnJdt5557l+6v/973+tfPnyNmrUKOvQoYMtWLDA6tevn+42ChUqZK+99lrQvFKlSmXhUQMAAADhEfgEAACIseza43PixIk2e/Zse//996179+5uXo8ePaxBgwY2dOhQe/vtt9PdRv78+a1Xr14xOFoAAAAgbQQ+gSy2/VBp23KwXEzPc9nDayxednW5Li77Tdwdny54xZbMtng51KxjXPbrS0iIy34rLZ5r8bKpyUlx2W+z92+My343NjvH4iU5IV9s9xenrj+ujD3SUd1jHPisVKmSXXTRRf55KnlX8HP8+PGWlJTkMjrTc+TIEdu7d6+VLFkyi48YAAAASB09PgEAAOKU8RnpFCs///yztWzZ0hITg28RW7dubfv27bNly5aluw2tp4CnytvLli1rN954o+3ZsycLjxoAAAAIj4xPAACAOA1uFOm6smLFihTLlI1ZsWLFTDuujRs3Wrt27VLMr1KlinvcsGGDNWvWLNXXa72BAwe64Kn6hU6dOtX1CFXP0BkzZrgyeADI6fYcTLI5G9ba5r27rWKxEta2ag0rXjD9bHgAQOxx9wkAAJADenx269YtxTL13Rw2bFjY1ynwePDgwYj2ofJ1jb6+f//+sKXshQsXdo9anpaHH3446Plll13m+oMOGTLEldHrOQDkdAp6zt3wb2uplbt2uMcza9eL81EBAMKh1B0AACDGfMm+qCb5+OOP7bfffgua+vfvn+o+vv32WytSpEhE09KlS91r9G/18Qx14MAB//JoDRgwwJXOT58+PerXAkB2pExPaVi2QtBzAED2Q8YnAABAjGlco0hL3b0xkOrVq2dNmjSJeB+NGjWyMWPGRLSuV8quR5W7h/LmVa1a1aKlYGm5cuVs+/btUb8WALIjlbcr03Pp9i3+5wCA7InAJwAAQKxFM2hRBgc3qly5sl111VVRvea4446z7777zpXJBw5w9MMPP1jRokVd2Xq0du/ebVu3bnX9SAEgN1BPTwns8QkAyJ4odQcAAIix5GRfVFOsdO/e3TZt2mQffvihf56Clu+//7516dIlqP/nn3/+6abAcngFOUM98MAD5vP57Oyzz47BOwCArKeBjNTT84omx7tHBjYCgOyLjE8AAIAcMLhRrAKfJ510kv3nP/+x33//3cqXL+9GZT9y5IgNHz48aN2OHTu6x1WrVrnHv//+244//njr2bOnK7OXL774wiZPnuyCnl27do3dGwEAAAAIfAIAAMRedg185suXzwUq//vf/9qzzz7rRnE/8cQTbezYsdawYcM0X1u6dGk7//zz7csvv7Q33njDBUvVl/Shhx6yO++8M6h0HgAAAIgFMj4BAABizGc+S44woql1Y6lMmTL22muvuSktXqZnYOBz3LhxWXx0AAAAKSUf2GdJSxdZ8q5tlliqnBVq2NwSCxflVIHAJwAAQKz5kv+dIl0XAAAAqVPQ8+DyRf8+2bzePRRpcRKnDBkf3Ojbb791PaBKlSpl5cqVszPOOMP++usvGzZsmBUoUMCKFy/uvvnXfPWI8qjs6eGHH3ajghYrVsyOOeYYu/nmm13j/HDWrFnjtqVJ6yckJPifa/Ko/5T6SRUpUsRq165t999/v9tXerSuRinVtvQ+OnXqZJMmTQpa56OPPrLmzZtbyZIlrWLFinbuuee65v3nnHOO/zjy589vhQsX9j9/66230t13v379rGDBgrZt2zb3fPbs2e6caXCAQHv27HHvfdGif3+IV69ebb169XLHomNS6dndd99tO3bsSHVf119/vf/YdH20X++5StBUwqb3Hkrne926de7fGhlWgxp450q9ujZs2BC0/i+//GKdO3e2EiVKuPdy8cUXu8+FR5+Pa665JkXGiM5foNGjR7uRZfW+q1Sp4rapPmGB123WrFlBrwnctrYZ+FmpX7++vfrqq27ZjBkzXOldKG+bR3tdAQBIjwb7iWYCAABA6pTpKfkrVLXDW/+2Awu+tf2/zHWZoMjbMhT43LVrlwt6DRw40AXbFIhT8FJ9oaRPnz4uWKcm9zVr1gwKdF133XUuyDZmzBjbuXOn/fTTT1atWjWbN29e2H3p9dqWJm/kUO+5JlEgVcG7V155xQUkP/nkE5swYYLdeOONEb2fadOmuW398ccfdumll9qVV15pL730klu2fPlyu/rqq+2FF15w73vZsmWuab9MmTLFfxwKGuo13vMrrrgizX0mJSXZxIkTXTDtvffec/NOPvlkF1D8/PPPUwRe69at64KvmzdvtrZt27oA5I8//mj//POPffPNNy546wVGwwk8tr59+9rgwYP9z/XvSN17773uNStXrnR9v9Szy6Nz065dOzv99NNt/fr17npVr17dTjvttFQD2+Fo9FftZ8SIEbZlyxZbu3at+6xNnTrVoqHPo45Vn4mnnnrKBX8XL16c7uuO5roCABCJ5OToJgAAAKRO5e1yYMlPlrxzu/kOHnAZoMoERd6WoR6fCnAp8HbRRRe55wreXXjhhSnWU6Zcjx493AihosDi66+/7gJ2LVu29PeRUrZiRikYqUDZu+++64Ju0qJFCxs/fry1atXKbr/9dpddGokKFSrYtdde6wJ699xzj/v3woULXUalgneiLEYFRo+WgpvKZlTAWMfav39/N1+BtbfffttlSnqUZagMT3nyySddBqT6bimjUapWrWr33XefxZIyfbt162bPP/98UMalRngdNGiQf94zzzzjsoMVeHzwwQfT3a4C6QpiKxisARI8CkCGy0iNhM6TtqWg8pIlS9wItZlNAWkFaQOtWLEi0/cDAMgdlMMZaSYn+Z4AAABpU09PSf5npyWULmuFGre0w1s2+DNBkXdlKONTgcSDBw+6TE6N3Kmsw3D27dtn77zzjstWFGUmKoPTC3pmhjlz5tihQ4fsvPPOC5qvMmntS/uM1gUXXODKz5cuXeqOVcFPZRwqgKegaGZQsFNB4csuu8x++OEHl0EpCnBqNFUFdGXTpk329ddf2+WXX+6e6/3o+LygZ7woQPnhhx/6r63oOJUJHEoBUi2LxNy5c+3w4cMprufR0B+Wal+gY27WrJllBbVaaNq0adCk9w0AQPjfTWbJEU5UugMAAKRNAxmpp2fhVu0sX/nKLugZmAmKvCsxo9l+CgKqXFvZj8qUVMBOJcWiET2VGalMUAXq3nzzTTdfwcTKlStn6htQCbUy+Lwy+0CVKlWKqsTa4x2jAmUK7H311Vcue0+BLO3rlltuccG5jFKJv4KbKqtXcFa9UhUI9YLKCs598MEH7rkyWU899VRXMh7uHD799NP+c63S8KMxc+ZMt63AKZSyNnX9y5Ytaxs3brTnnnvOv0znOtz1jeY66P2FXk9tU8eiDOJA6sUZeKyPPPJI0HL1eNV8ZXoqg1ctFpS9mxWUsfvbb78FTR9//HGW7AsAkPP5kn1RTQAAAIgs87Ng/eaWv2I19+hlgiLvyvDgRspoU4BTfTw1KI8mr5RZwVAF99Sb0SsvFv1b62cmbVNBtXADGSlbMiNlzQroeWX4csopp7jsRgXlPv30UxekVKl5Rqn/qMrTW7du7Z4r6zNw0BwFkVXuHlrmLgo4Bp7D2267zZ1rrXM0wVhp376921bgFGrIkCEuG1XXVBm9GnzKk9r1DbwOGixIGbqB9FwDLnnvL/R6aptqk6BAe2gvzsBjDW2ZoOCp5m/fvt31P/X6c4Y7htDjiJYGmmrSpEnQFG4AJQAARFmc0UwAAACIPPOzWLvz3KOeI2/LcOAzkHppqt+nstwCadAi9YC844473EjlGvRGgTKVjmcWDfSjYFXogEDahwZd6tChQ9Tb/Oyzz1wQLzQ7UOXlGqVeU+h7jYYCpxoNXZmMmtQbU31TvQGeFAjV6OLKwNR+vB6ponOo4Gu8NWrUyO6//3679dZb/fN0XjSwVCjN03FLjRo13HUJpOfKfPWupwKTyojNKjoGBWMDA6lqYaA+nd5xAACQlZJ9PktOjnAi8gkAAADELvCp7DsNVqPgnShop2Ccl8EYSIMC1apVyw1qpGCZRkjXqOjqzakMRWUPPv744xkOdKmUWaOSq9RY5ffaprL7lAGpfUVT2qyMztGjR7sRxYcPH+4yBhWA1LF7pdoLFixw+wn3XiOhIN/333/vWgAoOKtJI42rp6VX7q7sQQURe/fu7QblKVmypP/1AwYMcCOm9+vXz2XUioJ48RhIR9dR58W7dhpgafr06fbwww+7vq86nwqMKmNTxy1nn322e8/KoNW10jKV6Kvs38uyveuuu+yGG25w21VAUtmf6oOaWfR5VA9YXWdlrWpSJquCrho4CgCALOfzuR7UkUykfAIAAAAxDHyWKFHClbYr01Mjk2u0bQXuUhudXRmfCm4q0PXyyy+7gJ4m9YpUAEoBvIwGEkX9G7VvDbakXpddunRxWZIvvfRSRK/v3Lmze139+vVdifmYMWPsxhtv9AdW1W+zcePGbh0F6BTM0/FnhErXFQxWkM3L+NR00003uZHMvXJ1BW6VHRtY5i5aV0HjPXv22PHHH++Cospq1bXQNmJJmZnqd6pAp+gczZgxww1kpGzfOnXquPeg4LH6wHr9PhUk1+dB5e9t2rSxE044wQWvPcqAVRBVo8Mr81YZmuolmplZoGo3sHz5cqtdu7abFJDWQFwAAMSCLzm6CQAAAED0EnwulQBAZlMmr3rhjv9krtWp3zimJ7hh0s8WL3uKVYzLfn/dHZ+eqmf8+azFy85mHeOyX19CQlz2u97i14piU5OT4rLfTu//+yVcrG1sdo7FS3JCysEKs5KqVs499xzXWkb9mWP1u6HPPfOtfNVjI3rN1g2/2xsjTozZMSL38z6HfKYAAEBuv4fJlB6fAAAAiFykZe7+cnfkSvPnz3cVO7pxVxWVeo336NHDBeRDaWBJtQxSBZIGg9Rgolu2bInLcQMAAOQU2SbwqX6hupELnVSGfLRUrh5u23v37rWsonL7cPucOnWqZSXdPIfb7yuvvJKl+wUAAJFTLDPSwY2Ie+Zejz76qGup1LFjR3vmmWdcD3f1km/ZsmXQQJrr1q2zdu3auZ7uDz30kN15551uYM8zzzzTDh48GNf3AAAAkJ3lt2yiatWqrm9lVti5c6fFWrxGXn/++efdBAAAsq9oxiwi8Jl73X777a6/fMGCBf3z1E++WbNm9sgjj/gHvlSwU1/Ya5BNZYWK+uMr8Dl27FgXMAUAAEA2zvgEAADIK3zK5IxiQu508sknBwU9RYNtqvRdpe0eZYWef/75/qCnaHDRBg0auAEbAQAAkM0zPgEAAPKKZJ/PTZGui7xDPV03bdrkb9i/fv1627x5s51wwgkp1lXW5+TJk9Pcnl4b2gtUJfMAAAB5AYFPAACAGHODFkWYycngRnnLW2+95YKd999/v3u+ceNG91ilSpUU62re9u3bLSkpyQoVKhR2e6NGjbLhw4dn8VEDAABkTwQ+AQAAYi2aEnZK3fOMP/74w2688UZr27at9enTx83bv3+/ewwX2CxcuLB/ndQCn/3797dLLrkkRcZnt27dsuAdAAAAZC8EPgEAAGJMsUzingj0999/23nnnWelSpWyiRMnWr58+dz8IkWKuEdldYY6cOBA0DrhVKxY0U0AAAB5EYFPIIuVKbDLyhfcHtPzfMhX1OLlcGKBuOy3WvGdcdnvrqYdLF6S8sfnOpff8v8DbsTS7gplLF6avX9jXPY7/ZIX4rLf5kvOtHjxJSTEdH8JFp/+mZS6I9CuXbvsnHPOsZ07d9p3331nVatW9S/zSty9kvdAmle2bNlUsz0BAADyOgKfAAAAMabxiiLt3cnYRrmbsja7dOliy5Yts+nTp9uxxx4btLxatWpWoUIF+/HHH1O8dt68eXbcccfF8GgBAABylsR4HwAAAEBeo/6eyRFOEfcCRY5z5MgRu/TSS23OnDn2/vvvu96e4Vx88cX22Wef2dq1a/3zvvrqKxcsDe3fCQAAgP9HxicAAEA8St0jzvgk8Jlb3XHHHTZp0iSX8anR2cePHx+0vFevXu5x8ODBLjB6+umn26233mp79uyxxx9/3Jo1a2b/+c9/4nT0AAAA2R+BTwAAgBijxydk4cKF7vHTTz91Uygv8FmjRg2bOXOm3X777Xb33XdbwYIF3UBII0eOpL8nAABAGgh8AgAAxJgvihJ2St1zrxkzZkS8bpMmTeyLL77I0uMBAADIbQh8AgAAxFiyz+emSNcFAAAAED0CnwAAALGWHEUmZ3JWHwwAALnHnoNJNmfDWtu8d7dVLFbC2latYcULFor3YQGIEwKfAAAAMeazKAY3MjI+AQCIlIKeczescf9euWuHezyzdj1OIJBHEfgEAACIseRkn5siXRcAAESWzall0rBsBVu6fYv/OYC8icAnAABAjDG4EQAAWZPNqYColino6T0HkHcR+AQAAIg1X+Sl7loXAABEls2pLFAJzAoFkHclZuRFtWvXtqJFi1rx4sWtXLly1qlTJ5s0aZJ/+UcffWTNmze3kiVLWsWKFe3cc8+13bt32znnnONeoyl//vxWuHBh//O33nor7L4iec0vv/xinTt3thIlSljp0qXt4osvtr/++ivd97Fjxw7r06ePVapUyR1rkyZNbOzYsW7ZqlWrLCEhwb+v+vXr22uvvRb0+m+//dZOP/10t1zb0DF89913EZ3Dfv36WcGCBW3btm3u+ezZs92xHzhwIGi9PXv2WLFixWzRokXu+erVq61Xr17uvOqYGzZsaHfffbd7L6m5/vrr/e+jQIECbr/e84ceesi9Z13DUHr/69atc/++6qqrrFChQv5r3rVrV9uwYUPQ+uldh2HDhtk111wT9BqdZ13XQKNHj7bjjjvOve8qVaq4bX7xxRdBn79Zs2YFvSZw2+Gu3auvvuqWzZgxw+rVS9nfxdtmRj6jAABES0FPX3JyZBOBTwAAgrI308rmVOm7skCvaHK8e2RgIyBvy1DgU6ZNm+aCcn/88YddeumlduWVV9pLL71ky5cvt6uvvtpeeOEF27Vrly1btsx69uzpXjNlyhT3Gk0KtGl97/kVV1wRdj/pvUbbb9eunQtArl+/3v7880+rXr26nXbaabZ169Y038OAAQMsOTnZbUOBw7ffftsFMD358uXz7+vZZ591AUS9Xy+ApiDZhRde6IKDCgLecccd9tlnn6V77pKSkmzixIkumPbee++5eSeffLILKH7++edB6yqIXLduXRdI3rx5s7Vt29YFIH/88Uf7559/7JtvvnFBaC8wGk7gOevbt68NHjzY/1z/jtS9997rXrNy5Urbv3+/3Xnnnf5lR3MdAj3wwANuPyNGjLAtW7bY2rVrbeDAgTZ16lSLhnftFHB/6qmn3LVbvHhxuq/LyGcUAICM9viMdAIAAP9mc55UtabVKVXGPZLNCSDLS90rVKhg1157rQuE3XPPPVamTBmXhaiAlyjzT0HRrKJMv44dO9qgQYP885555hmXjamA14MPPpjqa+fPn28jR460UqVKuectWrRwUzgKcpYtW9YFGBs1auT2p/d9yy23+Nc566yz3JQeBTeVzXjzzTfb+PHjrX///m6+AmsKvipT0qMsQ2V4ypNPPukyIJV5qoxGqVq1qt13330WSzpf3bp1s+effz5TroNHwWdloCoYfP755/vnKwAZLiM1EjpP2paCykuWLLHy5ctbVlBQWoHaQCtWrMiSfQEAcj6X8RnpqO5kfAIAEJTNCQBZnvEZ6oILLnBl202bNrWFCxe6LD0FvRQQzUpff/21K7sOpcCclqWlTZs2rkx83LhxaZbG6w8OlfIrc1HZl3v37rUffvjB7SMjFOzs0aOHXXbZZW47yqAUBTgnT57sMmVl06ZN7j1cfvnl7rmyO3WevaBnvChA+eGHH7pzkRnXwTN37lw7fPiwnXfeeZl2rN610zE3a9bMssqoUaPcZz9wyujnAwCQV0rdI5wIfAIAAADxDXxWrlzZPe7cudO++uorl+2mwI8y7JQVqYBWVlAw0tt3IJWsp1dirYzFiy66yJ544gnX91GBMQXfPEeOHHEZq0WKFHFBvUceecRatWrlgmj6IyTcftOj86PgptoD1KxZ00466SQXCJUGDRq4Y/jggw/c83fffddOPfVUVzIuCiwH7vPpp592x6eSeZWGH42ZM2e6bQVOoZS1qWxPZb5u3LjRnnvuuUy5Dh69P31eVKbu0TZ1LOq1GZqBG3isujaBvGunTE9lIquPqTKRs4qydn/77beg6eOPP86y/QEAcrhIg54qc6fUHQAAAIhv4FOBMFGp+ymnnOIyAhXI+vTTT11gL3RgoMyiwNbff/+dYr6yJdMra1ZvTJWJa1AelSqfcMIJLhCqvp+iAJwCleoTedddd/kzF/UelXUZbr/pmTBhgitPb926tXuurM/AQXOU9aly99Ayd1HAMXCft912mzs+rXO0geX27du7bQVOoYYMGeKyUVUyvm/fPluzZk1U10GDBR06dChouZ5rwCXv/SlIqqClR9tUX1X1RQ3txRl4rMrcDeRdu+3bt7v2BF5/znDHEHocGaHBpjQ4VuAUbhAlAAAk2eezZF9yhBM9PgEAAIC4Bj41qI+CX4FZdQoOnnHGGW5SBlxW0LY/+eSTFPM1TwPtRErHrsGJFMBVsCyQAmLKdlQ5vLL41J9TZfLh9pseBYE1EJIyGTWpN6YGBpo3b54/EKrRxZWBqXPWvXt3/2v1fhRIjjf1OL3//vvt1ltvjeo61KhRw41KH0jPlfkqGrhJgUllxGYVHYOCsYGBVLVjUODbOw4AALJaxGXuXtYnAAAAgNgHPpXVOXr0aDcS9/Dhw23OnDn2+uuv+8ubFyxY4Hp9ehmOmU0Zm9OnT7eHH37YjXKu41FATpmCGrU9LSoP/+mnn1y2n0btfvnll61OnTphM0WVQajtafAd0eMrr7ziyuWVBaksUZX4h2Yehgb5vv/+e9erU31QNWmkcfW09MrdlTmoIGLv3r3doDwlS5b0v17714jp/fr1c6Odi4J48RhEp2fPnu4ae0HKSK7D2Wef7d6zsoGVoaplugYq+/cyaZVZe8MNN7jtKiCp7E/1Qc0stWrVsuOOO859XpW1qkmZrAq6auAoAABigR6fAAAAQDYOfHbu3Nn1lqxfv74rzR4zZozdeOONrq+ielQ2btzYLVdQSwEwBfKygvYzY8YMV4ZerVo1F7hUCbayJjXifHp/dKhMXCXWtWvXtuXLl6fZl7FPnz4u61MBTmUxKjg3ceJEt19lbz766KNBo5GHUum6RrtXkM3L+NR00003uZHMvXJ1HZPeQ2CZu2hdBZYVpD3++ONdULRDhw6u76i2EUvKzFTvVgU6I70O6vepjNXHH3/cBZeVNav2AoMHD/ZvVxmwCqJqdHhl4SpDU71EMzMLVO0GdK11zTUpIP3OO+9k2vYBAIh0VPdIJwAAAADRS/BxNw1kCWXzanT3zyd/YfUbNIjpWS6ZtMXiZW+hMnHZ7z9HSsVlv5WP/H+v21g7UKBEXPZbfsuSuOx3fYXjLV5q/RqfwcqmX/JCXPbbfEn8Bmc7nJjxfssZsWzZcjvn3HNdexn1Z47V74b23T+xEmXrR/Sa3duX28yJXWN2jMj9vM8hnykAAJDb72HyZ/lRAQAAIIiSOCPt3UnCJwAAABDnwY2OVpcuXVxpfOg0derUo9quSsDDbVf9OXPae8mO7xUAAETP50uOagIAANnTnoNJ9uWqFfbW4p/do54DyD6yTcZnVo1WrsGHNMVSvEZej8d7BQAA0YtmtHZGdQcAIPuas2Gtzd3wb/urlbt2uMcza9eL81EByHYZnwAAAHkt8BnpBAAAsqfNe3e7x4ZlKwQ9B5A9EPgEAACIMZ/5LNmXHNGkdQEAQPZUsdi/A44u3b4l6DmA7CHblLoDAADkFZS6AwCQc6hvp0ralc2pwGbbqjWseMFCbpn+LYHLAGQfBD4BAABizJec7KZI1wUAANmzj6cCoPT0BLIvSt0BAABizOeLosenj1J3AADiiT6eQM5FxieQxRIs2RItttk6ewuVsbymRL74NBHfl6+UxUuiLz5ZYPn274nLfgtaksXLxmbnxGW/zZecGZf9LmrczeKl/awnYrq/rTv+zd6IS+Azwp9hAp8AAMSXStiV6UkfTyDnIeMTAAAgxpTJmRzhFMtR3Tdu3Gh33323nX766VaiRAlLSEiwGTNmRLWN9evXW48ePax06dJWsmRJ69q1q61cuTLLjhkAgKymvp0nVa1pdUqVcY/08QRyDjI+AQAAYkzZnhH3+IxhdvfSpUvt0Ucftfr161uzZs1szpw5Ub1+z549Lmi6a9cuGzx4sBUoUMCeeuopa9++vS1cuNDKlSuXZccOAEBWoY8nkHMR+AQAAIix7Dqqe6tWrWzbtm1WtmxZmzhxol1yySVRvX7UqFG2fPlymzdvnp144olu3jnnnGNNmza1kSNH2kMPPZRFRw4AAACkRKk7AABAnHp8RjbFLvCp8nYFPTNKwVIFPL2gpzRq1Mg6duxoEyZMyKSjBAAAACJD4BMAACDGIh7RPcY9Po9GcnKyLVq0yE444YQUy1q3bm1//vmn7d4dn4HoAAAAkDdR6g4AABBj+/esVfQzsnX3rnePK1asSLGsQoUKVrFiRcsOtm/fbklJSValSpUUy7x5GzZssIYNG8bh6AAAudWeg0k2Z8Na27x3txt9XQMPqScnAAiBTwAAgBgpU6aMKyf/48d7onpdwYIFrVu3binmDx061IYNG5ZqBubBgwcj2n6hQoXcCO5HY//+/f5thSpcuHDQOgAAZBYFPeduWOP+vXLXDvd4Zu16nGAADoFPAACAGKlatar98ccftmPHv3+YRerIkSOWL1++sBmfqfn222/dCOuRWLJkievFeTSKFCniHpX1GerAgQNB6wAAkFmU6SkNy1awpdu3+J8DgBD4BAAAiHHwU1NWUyBzzJgxEa0brjw9WhoUSdmeGzduTLHMmxeL9w0AyFtU3q5MTwU9vecA4CHwCQAAkAtVrlzZrrrqqpjtLzEx0Zo1a2Y//vhjimU//PCD1alTx5X5AwCQmdTTUwJ7fAKAh8AnAAAAorZmzRrbt29fUIl89+7d7e6773bBT29096VLl9rXX39td955J2cZAJDpNJBRbunpmdZATQziBGQMgU8AAAD4jRgxwj0uXrzYPY4bN85mzZrl/n3PPf8/KFPv3r1t5syZ5vP5/PP69+9vr776qp133nku0FmgQAF78sknrVKlSnbHHXdwlgEAyOBATQziBGRMomUTtWvXtqJFi1rx4sWtXLly1qlTJ5s0aZJ/+UcffWTNmze3kiVLWsWKFe3cc8+13bt32znnnONeoyl//vxu1FDv+VtvvRV2X5G85pdffrHOnTu7kqzSpUvbxRdfbH/99Ve670ODFfTp08fd4OtYmzRpYmPHjnXLVq1a5UZM9fZVv359e+2118IORKDl2oaO4bvvvks340Ijveq86VhbtmxpkydPdstmzJjhSs+8fXrTrl27/IMlPPzww9agQQMrVqyYHXPMMXbzzTfb1q1b/dsfNWqUy+bQgAS6Tvfff797nadDhw7uPG3bts0/75FHHvGX1wW+b+2jevXqdtlll9mvv/6a7vnUudM18o67YcOG9v7777v9n3jiifb8888HrX/bbbdZz549g96r9q39es91vnTMgddd01133ZXuNQQAILe799573fTuu++656+//rp/Xnp0P6B7j3bt2rkAql7TokULFyBNayAmAAAQPFCTBA7UlNYyADkg8CnTpk2zPXv2uNFOL730UrvyyivtpZdesuXLl9vVV19tL7zwggvYLVu2zAW3ZMqUKe41mhQs1fre8yuuuCLsftJ7jbavG3YFINevX29//vmnC9addtppQQHBcAYMGGDJycluGwqgvf322y6A5tGIrN6+nn32Wbv++uvd+xX9oaCg7IUXXmjr1q2zDRs2uOyIzz77LM19KuNCAUG9ZvPmze48KWDnUU8tb5/eVKpUKbfsuuuuc0E9DX6wc+dO++mnn6xatWo2b948t1xB0YceesheeeUVF2j+5JNPbMKECXbjjTcGHYMyOkaOHJnqMQa+79mzZ7vz2aZNG/v5558tPQpSeq/VcSigun37dpdRMnToUHeeZMGCBe58P/PMM0HvVQMtKGvFe16zZk23voLOges9+uijEV1DAAByM2VwpjYF0n1L6DzR73h9Sal7Nt07fPrpp1avXu4oQQQAICt5AzOFG6gprWUAclipuzICrr32Wtu/f78rqSpTpowL7CnwKMpqVFA0qwwbNsw6duxogwYN8s9TME3ZmE899ZQ9+OCDqb52/vz5LgDoBRaV5aApHAU5NQLqokWLXEal9qf3fcstt/jXOeuss9yUFu1TwVtlZErbtm0jep8KuCqLQ324lCUqOtfqzSX6g+WBBx5wGR8KBHvvZ/z48daqVSu7/fbbXaaoKEtUgVwFapV5mhplXyrw+MQTT9jKlStd9qiyeSPVvn17t329VoHTa665xu1bwVgFcRWoVUbw0YjmGnoUcN6y5d9fQJ4VK1Yc1XEAAAAAAPKOtAZqyg6DOCUf2GdJSxdZ8q5tlliqnBVq2NwSCxeNeDlgeT3jM9QFF1zgyqebNm1qCxcutIEDB7rgowKiWUkN+Lt27ZpivsrJtSwtCsYpcKh+WGmVxitDQqX8yiCtW7eu7d271414qn1ES/tU5qiyK7zsx0h88803LgjpBT1DzZkzxw4dOuT6dAU67rjj3Ov0eo/K9rt06eL6eEVzfb///vuI19c5++qrr1x2pjeQgoLUakugVgQqV1dm8NGK9BoGUjsAfU4Dp4xcSwAAAABA3h6o6Yomx7tHb2Cj9JbFioKaB5cvssOb17tHPY9mORAP2TrwWblyZfeoEmwFvJRBp2BS+fLlXVbk4cOHs2S/CkZ6+w6kcuf0St3Vc/Kiiy5yGY0q62rWrJnNnTvXv1y9KZWxquxMBVfVC1PZkyqpVmAv3H7To4CnRk4dMmSIKy875ZRT3AiqHgXvtE9vUs9KUVA5rf3pvepcq0w9knOh7FwFAFWGHgntW+87PeoLpuNWYPPMM890+/GyMXUelWmqILLK4JVRGilliAaeFwU6I7mG4Wgwh99++y1o+vjjjyM+FgAAAAAAMkqjvn+5aoW9tfhn96jnmU2ZnFKgau2g55EuB+IhWwc+N27c6C+/VjDvww8/dME69YpSuXXowECZRaXUf//9d4r5mzZtcoHAtGiApvvuu89lIar8WQFJBdHUM1IURFQgVz2vNJiOl0Gq96igXbj9RnK8CtKpJ+XatWtdf08NzuPRgEXapzd5o7Sm9j4Dt6vgZuBARmmdC5W9Kzs00qxPXV+970jK23XcyorVseu96jPgOfbYY90ATl7ZfaRefvnloPPitU9I7xqGo/J6BZQDJ/qZAQAAAEDeCQzGkzfqu0aD16OeZzaVr8uhDauCnke6HIiHbB341KA+Cr6pv6dHwcEzzjjDTcqqywratgbxCaV5GvAoUjp29bxUgC80C1KDAalXqLIxlRmoUcdVYh1uv9HQwEQaeCiSc6P3ohHO1UYgHPUK1XF+/vnnQfO1/urVq92gQ6GUjanBlSLJ+tT1VUA7Go0bN3av+eKLLywW0rqGAAAAAICc4Ye/ltvGed9Y4R9nukc9z01iMeq7enYWrN/c8les5h71PJrlQDxky8CnsjpHjx5t9957rw0fPtz1mtQgPF5ptUbvVq/P1q1bZ8n+le03ffp0N1DOP//8447n1ltvddmRGvE7LSNGjHAjo6s3pnpRKqtQo6qHyxRV9qe2p1HTxRs9XaXWGlhIGYYq8fcGG0qNBkXSQEVaX8E5jdIeyblRn0z1xOzZs6c7x2odoP0+/vjjNnnyZFf+PXjwYFfGrfOt5RqIqVevXu51gQHpwG1q0CZdv3BUzq/R5/WetA8FSqOhdgfqC6oAaFaJ5hoCAAAAALK/w8t/tWqb1lntg/vdo57npOxUDRy0/5e5tvfbz92jngeKxajvGqioSIuTrFi789xj6MBF6S0HLK8HPjt37uz6OGqgnLffftvGjBnjshcVgPvggw9csEvLL730UheI7N27d5Ych/YzY8YMV4auDEoFvZQZOWvWLDfifFoU2FNgUKO1165d25YvX55mr0eVpCvrUwFOZWAqGDhx4kS3X/XAfPTRR+38889Pc58qm9c6KnFX4FFZsQp+ejQCus5b4LRkyRK3TEE9nUdN6pupgYtULu8FThWYVJBSo6frdRrAqHv37m4U+dQoYK3S8UAql/f2rW3rPSvYqv6m6dG10OuUFauydwVqNZjT0fLekzd5pe7RXkMAAAAAQPZW/tBB/bVnKwsXc4//Ps85ZevpDRykUd5PqlrT6pQq4x7jMeo7kB0l+BTlAZDp1I9Uo7tPnjwl6v6jRyvBUu9Hmlv54vQ9TjzPdaIvPvuutGZ+XPb7d82syfLPzvL5smYQv/QsatzN4qX9rCdiur8lK9dYmytuci1ivMH/gLxyj8LnHkBe8vcP39jSH2fankMHrXiBgtbwhPZWuU3krexiSZmeCnqqbF0ZnApmdtu2wQU9NXCQemiqnFyZldmFMlAVjNWARurtqTL3cBmfWu/Ab/Pt4PJ/2/MVrNfUCjc7kexQZNk9TP7INg0AAAAAAJAzLS5dwdZXqGbF9u+1bUWK2eHSFayyZU8qU1fgM7BsPfFwObPN66MeOCjSgGRGedtP+n2B20e+0uXdcYrK3UNp3QM/zrQju7Yre8WO7NpmCQULhV0XyHWl7plNZdmhJd6apk6delTbvemmm8JuV/05c9p7yQ4ee+yxsO9tyJAh8T40AAAAAEAu8PfhQ7a6el070qaje9Tz7Cpc2XpGBw5Kr0T+aPm3v2XDv8HMxH/DTAqChqP5yQeTLFHB3GIlzKf+pamsC2SGXJ3x+emnn2bJdjX4kKbc8F6yg4EDB7oJAAAAAIBYZVHGmwYtUv9OjcCu41GAs3jBQm7Sv71lenTLMpAV6QUVvRL5zA4yHtm60Y5s/dssOdmS9+2xpOW/WmLREnZ4x3bzHTpoiaXKusxO3/49LuM0oWhxSyxYyJ/xmVi6bMTZq0BG5OrAJwAAAAAAgDfYT2CQMbsMYiQKysqZteuluyyagGq9gwet7pEjZmFK5FMLvKa1vdD1juzZbUd2bjefL9kFOn3JPks+fNhs2yZL3rHZEgoXdeXwiYWLuJL2ws1PssIntA/q8Rlp9iqQEQQ+AQAAAABArqZAXaSBw1hRIFG8QYy85+ktSysYqfkvLZxnv2zeYEULFLSVBQpa53KVrWnBgv4en55Ig6tprZeveIl/szaLFLODa4+Y78A+Mx3rwSQ7sn+vWUKCWf78llilliVv32r7f/7eijRrbYWObZXp/UaBcAh8AgAAAAAAZKPy+/RK871g5KHkI/btulX23dqVdlqNOnbg8CH7ZfNG25l0wHYlHbC1yT77q1hxO6FcOduXdMjKLl1stQoXsZZ7dljBFb9brYREK9boOPtl1063jXBZnZqn/eRLSLQVO7fa3oMH3X7+STpg9XxmdctUsMR8+VxGp08l7IcO2r8jFx3+92B9Zsm7d1nyPzvM9Pq9uy1/pep2cNUyy1+mXJYMugR4CHwCAAAAAADEufy+WflK9uWqFe55yUKF7biKVVxwMVxpvpcBqmDk33t32+6kJPt77x7beeCA7Tiw3w4cOWT7Dx9WzNG2H9hna//ZZYUL5LcKRYrZ9k1r7Z9tf5slmJX0mW05fNh+K1LcDhw+Yr9t3WSF8xVwwdPrj2vtgp/av4Kr2o/sPbjFdiTtt+olStnaAkXM/pdRmnxgvx3cs8t8viNmKnfXDvIXcBmfyXt2mR05ZJaYz3x7dtnB/XutQOmtZodqm2/NCts3b4YlWLL5LNEK1jjG8lepRTAUmYLAJwAAAAAAQBZKrTQ9sLRcQU+vpFw0onuXeo3Dbs/LCFUGphQrWNA27t1tW/bttaQjh83n85lPgUfzWbLPZ0d8+61ocgFLTvZZ7e2bXDB0a+lyVnvfHju0c6utP5xs+/430n3BxHx26H/ZmmULFbZN+/bazgP77EiyzwVjV+7cbvsOH/SX4a8oX8ma1D/Wlh08aEXWr7YSB/ZZgYRkS0hIsHxFilq+kmUsec9O1wPUDXS0e6crgT90YJ8lHzpoRxSEPXjw3xHhfWaHt/1thRUoNbMiGRjQCQhE4BPIcgn/+4UTO7HdWzB9Q5eXxPP95ktOist+N9doZXlNckK+uOzXp55IcdB+1hMWLzNPvTOm+1vti8/PEQAAyFsi6aeZXl/PQF4G6M4D++3v3bvt1z1/uyxPZYBK/sR8dsSXbMmWYIkJZoeSk23PwYOWdOSIbc5X0Kon7LOae/+x/Pny24aEfC7omfy/bR9IPmK/79jqJrethASXgXrwyBH7avUKK5gvn5UpXNRmr1/tMkM/OLDfHv5hphU/cthOK1DUWpUoa9UPH7bC+fNbwfKVLKl6XSs950sreuSIJdi/AdVEn89s/147sn6Vme9/e05W4DPZfNs326GNJSz5n51uNmXw2Sd4/82alTZv4zoX5TixSg07vWadsANiZScEPgEAAAAAALJQJEHN9Pp6hlKfzeU7tto2lZgnH3Fl7YdUZu6SYVQ2/q//ddp0z/MlJtrvpctbvsQEq3TksBUtW9EW5S9kyUkHUt3PYZ/Pth/Y//8zDpltPbDflu/cFrTe7nz5bXLp8m6SAgmJVr1ESeu0fat1PnzIVHivdAKFZhXqdCFaL+gZ+O+DB+zwqqVmtRvawSULsqQXqEaaT1q6yJJ3baPHaBTB+8/+/MPf8kCtFQrnL5DtBg0LReATAAAAyOaSkpLsvvvus3HjxtmOHTusefPmNmLECDvzzDPjfWgAgAhEEtQM7fkZ2tczXBBq4949/qBnoNDnXgD08OFDttfMNhUvY4UT81nFIsVt/f/KyjPbIV+y/V979wHeVNm+AfzpnkDL3iBTBGQoG2TIEmWpIMhUEBE+PkRliTJlCeLg70K2CKjIBtl7DwVE2RvKLC1QSnf+1/3iyZe26UDPyUmT+3ddsSSpfZOTtE3vPO/znLsbKUlRERLt66fC2Gxxseq2afuaEHVq55PtpUtMkMTIm5Jw6YyaEK++nqeX+jqHylSS4JrPSv1STySrNkzZTgA9U/+4dd3uwCaEnnGnjoglIUES/zoosX8ddKtJ81FxsfLr2ZPqFBUfIzn9g6RS3vxSKjR3suNkC8cRLQ5C/APEAwW7CQnpViU7CwafREREREROrnv37rJo0SJ5++23pXTp0jJ79mxp0aKFbN68WerWrWv2zSMiogw8SqiZHi3cW3XmmIRF3ZUgHx9rb85HhS3tFx8h9AxMTJAq9yIkT0Kc3PT2ld+zhUq0V8ax0nUvbzkfECyFEhPF1yNefC1JqvJTCz0TPDzF6+9qT60aVAm/kezreCUlSLaYBKl3ZJckHNklG0tXluDGL0qNx0qroC5lOwFsw3/w97FJ2V4AlZ4P/5EkidcuSeKNq+oyS3ysBD5dX5zVmYhwmbxvu5z8O0CvkDe/VMydX9aePWFtTfBPHjNvuSk3H0TJrQfR6ry9Kk48bwO9fa0Vn/kCgzOsSnYGDD6JiIiIiJzYvn37ZOHChTJp0iR5772HfXC7du0qFSpUkEGDBsmuXbvMvolERJSBlIOM7LEN7k7cvqWCuwJBwcmqF7ddOicX70TI5ahIiYiJdeh8BwRoVaMe9t0sIg8Dsp0hedL9fxBknsqZT/y8vOVUYDYRLx+pFXldSmGLeWKCuv0+Ntvdk1J89EwnzKp26pCEX7sgB9u8LvWfqpOqncDle5GSKyDIbnsBbJuXG1ck/vwJSYqNFc9sfhJ/7ZIkbf9VPHz8DK/8RIC98NgR+ergLnlYA5s+LcAsFX1P2t+9LaGJ8er/uugXKNkT4uVtS5LEeXjITR9/CbQkyS0fXzmYLVTV0paPvpvhY4ZqYI+/n01pVXEirEd7Bdsen1qAn9bwLmfA4JOIiIiIyImh0tPLy0t69eplvczf31969Ogh77//vly6dEmKFPlnlUNEROQ8EBrFJyaqPpwHrl2R6Pg4KRicXYJ9fWV/jpxqWNH5u7flTORtNand08NDEi0WFexofTyNhKpBuOwXIE/fuy2NIh9WU2pVhGlVF16IjZXLgdnFLzin5AjwF4u3j5S8fT3dtWK9fcUDA5L+V/9pV657EeK3bJYkla+Sqp1A4WwhquLTXnsBBJtJ9+/Kg4M7RB5ESdKDKHV5dMwDOb9rnSTevCrln2nxSOGdbfiHYVAxCQmy5uxJ2XPtUrLPw3GqeeeWPHUvQkbHx1lDysPBIfJ49D0pGBcjOeLj5I6Pj4T5BqjjqIXO1e6GS96EOGvgnTv6YcUuOruiirZ4XIzEeXpJ4bgHEpoQL7d8/STew1POBgRLiQdR1sfQHsvfAWxaVZw4Fi1LlVOnfzK8yywMPomIiIiInNjvv/8uZcqUkezZsye7vHr16urjoUOHGHwSEbkABE5bL52T69FRcjsmWhIwiT0hTu4nxMm9uFh5Inc+KRWSW46H31LBZ76gYLkTEyNJFi+5Fx+XibrBfwdhJqoGEXrmjUe4KdYKUFQRplURii31kpQo9yVebsc9kEp/f056TmQPVRWIT96+lmFVa/Dd2xL5+y6JDM0n5yNvy72EOMnlFyiPhYTKqdu35MiNq4L6yIXHj1j/n8IP7svE04clr+XvKfPa1vvYB3L/Rpic9vSWG8UftxvypTUk6c+4ODnoEyDxPr5y/k6EXLwbKWF2qidxnBpH3JBisdESkJRkDSlLPLgvAZYkKRD7QAWUN3x8Jb/vw/6mWmCphXiJf99mHBs87rEeXhJoSRRPsUish6ckeHqK/9+DrgChp/YY2uPr4SmNi5Wy9vg0YniXWRh8EhERERE5satXr0qBAgVSXa5dFhYWlub/e+PGDbl582Gli+b06dMG3EoiIvq3EDhhK/uDxHhJSLJIeMx9VQHq6+UlAX8HVvfiYkQsFolPSnwYLllE4pOSxFM8JPWII32h8hBQ6RnplSQ+SUlS785NFeRlS4iTbEkPqzMzqi5E+Bb/d4WiPfgqW3IVkCAfX/G0JEmFiBsZhp/rNq2QsQUeS1Yfuu3K+TQ/v8fVs9bQU1sTvC0W8bt/T/bevy87t62VIdvW2q1kDUhMkHY3LkmNu7clOx4vTw/x8/aTpwOzy73Cj0lsfLyc8guyuza+DkJJhJOxFrGGlAXiYyXS20fue3tL7vg4ifbysX6+Fjprt1g7dtoj7vd3yJkkHuJnSULrUonx8JJDQTkk1tMr2W1PKa9/oEyo31xqFCoqRg7vMguDTyIiIiIiJ/bgwQPx80u91Q7b3bXr0/LVV1/JqFGjDL19RESkD2wlfqbIY+Ib5iXnPW+rforenp6SPyibqsbz9/aWGYf3i3h4iq+nRVWEIvjCf20DP28PD/H38lafH+zjJ1fu3VEVj/8Wtq1r/SE7X78gheJixNuSJDkSE+TtsDMSIx5yzj9IXYaBRWlVFyJ8W5SzsLS9fVnQRdM21ER8tyJHXtnsGyi5/QPlRvY8cisxSWrfvSVpbTrHfY+Ji5HQuBjpevW81Ii6Lf6JiWr9FbkLyoZcBVIN9Mkf/7CSMiU1bElEjqMf6d/sVbKWu39X6t0Nl9CEOBWsoag1MTFaguJi5UxSgpT2C5T72UJkXVBIqjVwuxBKeifFJgspr/r4qYrPoIQE8fDAlvh4uevlnSywvOvpJdXs9Pj0TaPH554cuZPddxzv5W27SMnQXOKMw7uMwOCTiIiIiMiJBQQESGxs6j/QYmJirNenpU+fPtKuXbtUFZ9t2rQx4JYSEdG/pQVGhYKySblc+STUP0CKZg9Rl6OP4oPEBPH2FAn1yyY3ou9JgsUiXuIhSX8PCELoWSx7iLQuXV79fwiiHiQkyOw/DsqduBgVlv3bCBQhXPsbl1Xg6GkzgChILFIhJkoej4mSRaEFk1UX2lZN3vX0lkuBgTLbv2S6k8YvxsfJxRy5ZF9wDjkank16XjsnAWkElfc8vaXtzSvS4O4tFR4iTA1IiJWXb16RcF//VAN9rvn4ScnY6FSVpPc9PCXSx1f12tzp+/ANRq1y1baSFdWZXoKw8eFEevV1PDzE4iFy38tbfLy8pKyXt6xL4/j5JSWqHp+57fX49PVP1eNTC51xmlOwhPo6IT6+UiA4m/h4ektsYoIKwNHXdMDTdVSw2V0cJzPDu8zC4JOIiIiIyIlhS/uVK1fsboGHggULpvn/5s2bV52IiChrSC9AQoiJQUcIuSJio9VgIx/0c0T8Z5NmxiUlSUTMA/H38lLVd6gcrVe4uJyMuCURMdFy60G0qqx8FA8H8oRL5fsPKx/veHk9HGhkZzs7gqYOEWHySkSY3EKlqHhJsRQrWmz6U6Ib5PHAHLIvey7x8PRIFYbi4/K8RdTQntbhYZI/LlYCLInqK8Z7eMldLy8J9/NXoSG2qttWv6Lvpb0t9zMKlJAi5/6QIn8PCsLtQCC7J3tOSfLwSPb/aNvMbftkojrzcXkYemr3JwFtB7y9JXtSkiT5B0jJMuXl1cAcsuL0MbmX8HAQlHZ/NuXMr07gKx7SokQZeTL+4ecE5wiVjk9UlvzBzrNdPCtj8ElERERE5MQqV64smzdvlrt37yYbcLR3717r9URE5PoQYpYJzS0n5ZZExcVJwSBfCfD2llMR4ZKUlCjeHp7i4ekp8QkJEh59X000R9/FuMRECfT1lVfKVZKFxw5JREyMWLDFOsXXT2squ3UgT+R1yR0Xp7ZhR3p5yWm/QMmZEJdmr04EirnVx9Qxq4fNR8R7laPvSJG4B7I/e65kg5FsbQvNK/e8faR4TLTUuHNTQhMT5J6Xt5wLCJawv6skEzw8xMdiUV8X9y/aw8vulvvLAUHy37JPW+9v7tgYyZaUqP5/sP1/tMpV2+OCrfDY0l8++q6q3ozy8pYo/yCJD8wmMUHZpGTJx6Va3WZSwz9QhtVu9AiPMulNq0g23bZt26RmzZqSI0cOyZUrlzRq1EjOnTsnI0eOFB8fHwkODpaQkBB1+V9//WX9/xITE2X8+PFq0mVQUJA89thj0q9fP7l1C+8rpHbx4kX1tXDC53t4eFjP42TbD+nxxx9XW4eKFy8uo0ePVmtlBJ8bGBiovhbuR+PGjWX58uXJPmfJkiXy5JNPqheueAe+RYsWcu/ePXnuueest8Pb21v1bdLO//DDD2muifuE7UpYD8eoatWqsnr1anXdli1bxNPTM9l9xOnOnTuZPn4ZHYsGDRpItmzZJDw83HrZhAkTpHv3h4XV58+ftx5nrFG4cGHp0KGD/PHHHxkez9mzZ6tjod3usmXLys8//6zWr1atmvzf//1fss9/++23pWPHjsnuK9bGutp5HC/cZtvji9PgwYPV14iIiJBu3bpJvnz51GNUvnx5dTuIiIiIzPDyyy+r1z7Tpk2zXoat77NmzZIaNWpwojsRkZvAdvdGxUrJi6XLy3vVn5Evm7SWbhWflobFSkrewGAJ8vWTHH7+4u/tI+Ex0WrCNnj8XQ6KwTP34+MlwNtHcvqj22NyWi/LIjHR6iPOJxvIk5Qkd7195I63jwo7f8uRSzbkSL9XZEZDibTPwSkwKUltJ9fWS0nb7v1D/mIypFRl+aZgSVmXq4Dsyp5LhZFL8hSSLdlzy20vb7kvHnLR208W5ylkd6CP7ddbmruQzM9fTPZlC5VL/oHyW3BI8v/Hx08OhOaVlbkLyeHchaRR6fLyU+e+0m/4l9JowvdS5+P5UmfUd5K927uS2KKjFGrRUao0bCWedo4xuWnFJ0K41q1by4wZM1SAFx0dLevXrxcvr4fvGyCEmj59uupj1Lt3b+nZs6fs2rVLXffmm2/K9u3b1Qu/6tWrS1RUlHz77beyb98+FSimVLRoUfU5cO3aNbV1SDuvQRD45Zdfyvz586V27dry559/SqdOndTEzG+++SbD+7Nu3TqpW7eumqC5dOlS6dKli0ycOFHd9lOnTsnrr7+uwlB8Du77ihUr1P/366+/Wr9G8+bNVTiohYfp6dq1q3rRu2DBAnXMDh48mCyYLFGiRJrTOzM6fpk9FginP/nkExk3bpzddXC78LUtFotcunRJvvjiC3Wbd+7cKVWqVEn3/iGk3LBhg/r31q1b1e3CZd999508++yz8uKLL6otXrjfuJ1Hjx5Vx0KDgBO3G6GtLTynOnfunGq9AQMGSFJSkpw8eVIFovh66U1LJSIiIjISXjOhT+fQoUPVlPZSpUrJnDlz1JvLeP1MRETuuw0e26ERiE7cu03O370tpUJyy8W7kaqvpzZhu1qBIioMxVb56/ej5Nyd22q7vLbFW2Ovl2WygTyentaKT5zHaXuBklLrTrj8bz+C2N3Snh6t72i0p6d1O3mkr78EeHpJbFJiqsrUlIOWbC/7tNjj4i0ekt3XT7y8Htb6WeJixV/rBmCxqIFR3l6e4u3hJTkDAiWHv7/qk5o/25NSNHuo3Ai7JCF3bkshHz95qWwFaVvmCXXss2qPS3fnFMEnAiZMqkSABQib2rZtm+rzEGC1b99evesNx48fl5kzZ8qBAwdUlSOEhobKkCFD/vFtQRA5ZswYWbhwoTzzzDPqskqVKsm8efPkqaeeknfeeUdVR2ZGnjx55I033lCTNj/44AP170OHDqmqxXr16qnPQYUmgtF/Y//+/SqE1Brb16pVK1P/X0bH71GOBapEEWa+++67qvI0Lai+RPg8efJkOXv2rKoeRQVsZtWvX199ffy/+CMAITjW/umnn1SIi6D23/axwvFEiIvqY+0+45Qe/BGCoNtWWmEzERER0aOaO3eufPjhh/L999+r3SnYPbRy5UrrazQiInJfttPgoVBwdsnu5y8FgoKtE7a14O7ZYqVk3l+H5PK9SCkSHCLHbt+Qe/FxafayTD6QJ8na4/NQUA7rVvjBJSrLV2cPpQo4ETSG/93js6jNdveHk+j/F4hiP+opmx6fd30D5FbBotIkb2F1P27F3Jczt8NVWBnqFyiBPt5yNeqeXL57R32dwtlyyIg6jaRi3gLWNa5F3VP38/yd22ql0qE5JT7JIoE+PhIdHy9B3t5yPyEh2fAo7Rj1rFTNkMeJ3Dj4RHgWFxenQqxXXnlFBVq2/Ys0qARFJV/JkiXVefQ6QoimhXZ62L17t8THx8vzzz+f7HL0TsJaWDOzwaemVatW0r9/fzlx4oS6rQg/Bw0aJC+88ILarp3eJM7MwPFCNWnfvn2lTp066Ta4t5XR8XuUY1G6dGlp2bKlTJkyRcaOHZvp44LjkFmoFt20aZOqHMXWe0ArhIoVK8pLL72kAnNU0/5bOJ4IfxFkoioX2/8zgnYAo0aN+tdrExEREdmDAoBJkyapExERUVrT4FHVmTLsTFkh+l71h4VYUXGxalI8/h8EjGG3rsuJ/Vsl4EGUCj2PZs8pzYqXkkHV66uhStrn4uu/kuLrh8+bKvEHNlvP/1n8cVlRsZaaMo6v8d2pv2Tn5Qty+8F9SRSLeIrH3xWnFkmyiAT4eEuZ0LxSOV9+CU2ySBU/fymSIzTN+5ER2/tJ7s0pgk9U1qHHJ7aDo/oR72JjO8/XX3+trsc724sWLVIN3RHqaVvD0VMyf/6HU7D0gt6WuXPntm6zt4Wej2n1Dk2PdhtxvxBMbty4UVUUYls/+jP16NFDBYboZflPoOclKh2HDRumqgxR8YlKTlSWAnqlorJUU6hQIbX1O6Pj96jHAlWtCA1R9ZkZWBvHJCPY3o7bjxAW1bOoFtWqMREao9IUITIqWFFRmlmoEP3Pf/5jPT916lT1/EPfUKyBE1oNPPHEE2pbPXrQpqVPnz7qOWsLjwUeYyIiIiIiIiIj/ZOt1qn+n1LlRGo2SPPz0/v6uTr3E8Hpb0ganrW53rYak8gthxtVqFBBBZzou4n+nThplYMIoyIjI1VvSGxzPnbsmLoc/8bn6wlfE4GevUFG169fV0Hgo7p69ap1Gzkg/Fy8eLEKHhHiYus4+k3+m9uMkA4tA3CMUC2LvqgaVCzi+GknhJ6ZOX6PeixQ/YnqUIS4mT0u2jHJaHs7bvf9+/fVbcd91cJvQDCJAU6PWomLXqa2x0VrOYDhVMOHD5fDhw+rLexPP/20asOAvp9pwfZ6DEGyPaH/FhERERERERERuXnwaQv9IxE0YaiMLVQqohoPFYUYdNSwYUM1oRtbx/WCakkM6lm1alWyy7HGhQsX1FCdR4X+SwgRtQpMDaoTMaUep5T39Z/CMcKW98x8vYyO3z85Fqj6xDCk27fRRyPj44IQ+FGUK1dO/T9r164VR8DjhucbQtrM3CciIiIiIiIiInIOThF8Yovyp59+ap2cjcpFVPRhynhKGApUrFgxtZUbfR7R07Fjx46qH2VCQoIayIPeR6tXr/5HtwVbqt9//321dRnb7/E1jxw5oqZ/Y62U4WV6UNGJSZtoRI/+j9gyvmPHDnXbtW3imESOdezd18zChE8cQ1QkIpybPXt2pr5eRsfvnxwLfM3nnnsuzQmj6NN5+fJl1UMTayAofRTYPo5J8AhAjfLRRx/Jb7/9prbWa1PuS5Qo8Y+qfYmIiIiIiIiIyI2Dz2zZsqmt7aj0DAoKksaNG6st02lNZ0cFHsI5BHEIpbp27apO6PuIwTvY7v1vgkSEcVgbw5YwMAdDezBJHpPTM6Np06bq/8PAn/nz58usWbNUFSYgTPzll19UcIfPwTAnDD7C7f+n7t27p3pcYos7gkdUkiL81GACOtayPWntAjI6fv/kWCDoxdZxW9gur62Nr42+owhb8ZhnZMuWLer/w3MD294R1GKY07+l3SftpG11RziLcDdnzpxSvHhxOXXqlCxduvRfr0dERERERERERI7jYUHKQ0S6Qz9S9K5dvXqNlH7E/qP/lqek7svqKJjPR47hm/jAlEOd5OHlVuuaubaHpN1b2Eh5bj58c8wMW+u+59D1Llhi5T9JF1SLGPRnJnKn1yh83hMREZGrv4ZhQkFEREREREREREQux2WDT/QLTbm9GydsXf63sF3d3tfG1HGjYIu5vTXXrFkjWd3HH39s974NGzbM7JtGRERERERERERZlLe4qIIFC6rBNEZI2b/SETDsyVUNGjRInYiIiIiIiIiIiPTishWfRERERERERERE5L4YfBIREREREREREZHLYfBJRERERERERERELofBJxEREREREREREbkclx1uRGS22NhY9fHChfMOX9tDksQsFvEwbW1345P08DnmaBYPc94zS/LwMmVdtbZJ7xN6iMWUdW9FXBSzXLA49nl91RKX7Gc2kTvQnu+nT582+6YQERERZZr22uVRXrsz+CQyyKVLl9THt97qzWNMRJQFfmZXrVrV7JtB5NDXKG3atOERJyIiIpd+7e5hsVjMKSchcnGRkZGydetWKVKkiPj5+T3yuxj4Y2Tp0qVSqlQpw26js6xr5tpc13F4rF37OJu59r9ZF+8W44VT/fr1JSQkxLDbSJSVXqOY+XMkK+Fx4nHi84nfe86MP6N4nFzx+RT7D167s+KTyCD4JmzduvW/+hr4gVK+fHndbpOzr2vm2lyXx5rPLff9fmKlJ7mbzL5GMfP1QFbC48TjxOcTv/ecGX9G8Ti52vPpUV+7c7gRERERERERERERuRwGn0RERERERERERORyGHwSERERERERERGRy2HwSeSE8uTJIyNGjFAf3WFdM9fmujzWfG7x+4mInON3Y1bD48TjxOcTv/ecGX9G8Tjx+fQQp7oTERERERERERGRy2HFJxEREREREREREbkcBp9ERERERERERETkchh8EhERERERERERkcth8ElEREREREREREQuh8EnEZEDTJgwgceZiIiIiIiIyIEYfBKRw7322mvy+uuvp3nq0aOHyz0q48aNM/smkMEWLFjAY2yy27dvm30TiLK0bdu2SatWraRIkSLi7+8v+fPnl+bNm8vOnTvtfv6uXbukbt26EhgYqD73v//9r0RFRYmr27hxo3q9UqZMGXXfS5QoIT179pSrV6+m+twGDRqIh4dHqhOOq6t7lOPkzs8nwDEZMmSINGzYULJly6aeI1u2bLH7ue78nHqU4+Tuz6mUZs+ebfd5g9O1a9fEHcXGxsrgwYOlYMGCEhAQIDVq1JD169ebfbOcypYtW9J83uzZs0eyCm+zbwARuZ/HH388zdBixowZcufOHfXRlVgsFrNvglOIiIiQc+fOSdmyZSUoKEhcyZtvvikdO3Y0LXQ1a+20vpdz5sxp2NefO3eu5MuXT5o1a6bO7927V1566SX1BxH+sF66dKmUL1/esPWJXNXJkyfF09NTevfurUIC/MyeN2+ePPPMM7Jq1apkwcqhQ4fk2WeflXLlysmUKVPk8uXLMnnyZDl16pT8+uuv4srwhzJ+zrVr105Kly4tZ8+elf/7v/+TlStXquOCY2ercOHCMn78+GSX4Q9tV/cox8mdn09w4sQJmThxojpOFStWlN27d6f7+e76nHqU4+Tuz6m0jB49Wh577LFkl4WEhIg76t69uyxatEjefvtt9ZxCONyiRQvZvHmzCszpf/CmQbVq1WwuESlVqpRkGRYicgrZsmUzZd27d++me/3x48cNvw0RERGWDz74wBIaGmp59dVXLceOHTN8zaSkJMvy5cstgwcPtvTq1Ut9XLFihbrcCL6+vpZRo0ale3KktWvXWj755BPL9u3bDVtj4sSJlsWLF1vPr1y50hIUFGTx8PBQj/WOHTsMW/vXX3+17Ny503r+xIkTllq1aqnvs8aNG1suXbqk+5rBwcEWd/v5MWfOHMuaNWus5/fs2WMpVKiQxdPT01KqVCnL0aNHDVm3QoUKliNHjljPP/nkk5bXXntNrfef//zH8txzzxmyLpE7un//viVfvnyWZs2aJbsc32cFChSw3Llzx3rZd999h3f51O8YV7Z161ZLYmJiqstw34cNG5bs8vr161vKly9vcUePcpzc+fmkvR4PDw9X//7555/V/d68ebPdz3Xn59SjHCd3f06lNGvWLHXf9+/fb/ZNcQp79+5Vx2PSpEnWyx48eGApWbKk+puBHsL3F44Tvt+yMm51J3LzisBChQolO493T22lfGdHT6gk+eCDD6RkyZJy4cIF9a7tDz/8kGZFqF4ePHgg9erVk1dffVVVit29e1eV6qNiDpfjeiMeX1SjpXcySocOHWTmzJnW82PHjpWWLVuqKkFUzNlepydU7do+n/BOId5RvXfvngwaNEjef/99MQqeV15eXtbzaJ+Ad7Nxn/Hx3Xff1X3NhIQE+f7771U1YlonV/v5MWnSpGQVJr169ZKmTZvKkSNHVGXYwIEDDVn30qVLUqFCBfXv8+fPy19//SWffPKJqvJEBcyBAwcMWZfIHWGLaJ48eSQyMtJ6GX5vYjtg586dJXv27NbLu3btKsHBwfLTTz+JK0MFLCpjU16GSvdjx46l+TvC3bbYZvY4ufvzCbBt+1F3Srjjcyqzx4nPqfThtXhiYqK4M1R64m8FvHbVoMUL/mbA36R4rUmpnzf4uZMVcas7kZNAnwwzpAxMsA0kvev1CjwRUnz99dcqgEPoiO0FjoItMvihja0uttus0N/mxRdfVIOIRo0apeua+EWK+2uGHTt2qK1lgPuN7T4IAHFf161bp0JA9ODSG46ntgXi+PHj6rk1dOhQtcUdayI0Mwq20z311FPq3wiVtRcwBQoUkFq1askTTzyh+5o4tjiuaX3P4Hscf8QZQQtd0/t+NWJtewEkegGFhoaqABLbzo2A76f79++rP4jx/MZtwJradejZRET/HEKDuLg4uXXrlnrT5ujRo8nerPrjjz/Uz52nn3462f/n6+srlStXlt9//93tDj8CKJxy585tt4UAfvfhmKJNxxtvvCHDhw8XHx8fcTf2jhOfT4+Oz6n08TmVNvRHxfcgfl6jAAJ/kzny7zBngd9T6D9s+2YLVK9e3doqAf2u6X8zOvC8QViMQiH8HZfyNYAzY/BJ5CS0HyT2IMxAaGLEO3MpA9eMzuuhWLFi6pctKgDxi3b//v3qZAvVmEZZvHixfPfdd6l6cOH8p59+qv4g0Tv4NLPHJ/6A1f7A+O233yQ+Pl7atGmjzqM6z6h3NPGufHh4uOTKlUu2b98uVatWtfb1TEpKUiejoMJE+/oYyoEAFqEnICCLjo7WfU00RV+9erWYwazQ1awAEtWkffv2lU6dOqkX7OjvafvHDnqfEdE/1759e1m7dq36N35fo4fxhx9+aL1e26Wg/Vy1hcvwM9/dfPbZZyrYfOWVV5Jdjl0tCBqwAwI/L1Fl9NFHH6ng6scffxR3Y+848fn0aPicyhifU/ar99HTEj+PEPYdPHhQFUPUrl1b/X3gbiEfniNp/Q6DsLAwE26V8/H19VWvs9H7FH9PosgBvXIRfmJ4WJUqVSQrYPBJ5ES/jM6cOSPuAAGYNoXR3iRGXGdk8Ilt9Wn9kMblGL6jN2zfMgt+gWNLGZq7YysZflFpW88Qinp7G/OrAL8k8TjiI6poBwwYYL0OW5FTNlbXE+7jyJEj1Qu8L7/8Uk0p1uCPTVTc6M3McNus0NWsABJ/OOP59M4776gJnO+99571OhwHZxr0RGQWvPmDgCkz/Pz8kr3RiZ/ZqMzHG2Nz5sxRX8d2e5vWEgb/X0p408OIljHOeJw027ZtU2+YIjBu1KhRsutSDmvs0qWL2lqJN2Dxc6xmzZri7sfJlZ5Peh2r9PA5lTFXe07p8RzD9x1OGhRBoOIT7SfQBuubb74Rd4LnQFrPD+16EhWM46TB31Qvv/yyPPnkk2on35o1a7LEYWLwSeQkEEQZEcZkBNUHKPPXIAjTziPIMaIyzl7Yaca7V2ldnrIflV5B3Pz585Ndhi1uRYsWVVuyjQofAeEQKjtxG1asWCELFy60Xoet7pUqVTJkXWyBwHbn5cuXq+0Rffr0sV6Hd5kxNdgoX3zxhapwxEcEY/jFrMEf8baTifWC42sWs0JXswJI9GmdNWuW3euGDRtmyJpEWQ1CJlT2ZAbeHLPtr43t6rZv3OENS236rfZmC9ir6o6JibFe7+rHSWvl0rZtW1XxPn369Ex9HYTKCD43bNiQZYJPI4+TKz2f9DhW/4Q7PqfS42rPKaOOHSaX4/UbnjfuBs+BtJ4f2vVkH3bStW7dWu2ixI7UtHatOhMGn0ROIqPg4vTp09Z+iXratGmTuBu8g2fbyDrl46D9wtMTXoymhC3nFy9eVO8sIpAsW7asGAFbFPGCB+0E3nrrrWQBHYJeVEYaAV97xIgRdq9DmwMjYbvO5s2b7V43btw4wwYqYcuHvXDb6Dc1zApdzQogEWQjVNdgKBqqTjXdunVTATeRO8PP/bS+P1Oyt93P9mc5KjxQBYrfn/hjUPt8e4P5cJnt0DNXPk6oiMUbizly5FBv9qDFS2ZoW0pv374tWYWRx8mVnk96fu89Cnd7TmX2813lOWXkscNz58SJE+JucFyuXLmS6nLtOZPVnyNGK1KkiKo6RhFVyj6pzojBJ5GTQL8MVFtiGy56YGKCKhw+fFgFNStXrlQ/WPRWv359NakVw2AQrDriBxfCoLS29Wj9TDO7feOfyCiQMWLaeFohHKCvaP/+/Q3dKoDHGaeU8MesUVs5EEQhkNIgqLKtvGzQoIGh1b94LuH7Bj0+MVALvSfxzvbzzz9vSO9a2+DNNty+ceOG2iKCHpx6/YHjLKGrWQEk2hfYrtuvX79k6y5ZsoTBJ7k99K1GlaYe8HsCP1Mx0RXBJ6r2sFMBbUtst07idzcGQthe5qrHCT2sEeahYmjjxo2P9PMdr7lAe63n7sfJlZ5Pen/vZZY7Pacyw9WeU0YeOzx3stLzRi/Y2YC/z/D3t+3fv3v37rVeT+k/b1C8gz7/WYKFiJzC8uXLLUFBQRYPDw+Lr6+vZf78+ZY333zTkitXLsvQoUMtV65cMWTdZcuWWQICAtS62bJls6xfv95itPPnz2d4ciexsbGW3LlzG/b1ixQpkux8ixYtkp3H426ElF83NDTUIetCdHS0pU6dOpbg4GBLgwYNLB06dLDUr19fncfluN5RsNaAAQMsL7/8smFrFC9ePNWpUKFCFh8fH3W/w8LCXOoxxuNoKyQkJN3riShzrl+/nuqyiIgI9Xsk5e+S5s2bWwoUKGC5e/eu9bLp06dj+4rl119/delDHhUVZalevbr6GXfgwIE0P+/OnTuWmJiYZJclJSVZXnnlFXWcDh48aHFlmT1O7v58Sunnn39W93vz5s2prnP351RmjxPwOZXcjRs3Uh2jVatWqWP43//+1+Ju9uzZo+77pEmTrJfhe6tUqVKWGjVqmHrbnP15c+jQIfU3RqtWrSxZhQf+Y3b4SkSi+ixiSAia3s+cOVP16sHEy6lTpxpahYl10WsR7xpi3e+//1727NnjNA+JEVWBKSvj7LFt4mw0vNOILStGTQ/EljJU6Why5syZbCtUyuuNWhcVl6i81OB5jftuBGzfRwXt0qVL1bvimmvXrsmLL74oTZo0UQMWHAW9ckuUKKHWdyRUaaHCGdsMf/75Z4c/xkY9t1I+d1I+p418bhG5MvScxlAy9HzLmzevaseC7ZT4/YQJ5BhooMEUYPyufOKJJ1T7mMuXL6shZxiUoU2Ed1UYCrJs2TJ5/fXXU/XZQ/ULrge8fkGvY5ywqwY/k1GRjp0IOGbffvutuLLMHid3fz5pPvroI/Xxzz//VP3Ycdy0QZDY2QHu/pzK7HECPqeSK126tBri+vTTT6u2Ezg++NsPVdhoh2XGrAmzofIX3z/oV4/vJ+xS2rdvn6pOx88eEjWIDjs98PMZrwuwS3XatGlqZ9nu3bvV8NwswezklYgeyp49u/VQJCQkqKrPBw8eOHxdIysP/wkjKsbsVcfZnh577DGLo1y4cMHSuXNnS/fu3Q1bw6yqPDMrPitWrKjeybUHl+N6R0LVZ968eS1muH//viVfvnwu9Rj7+/urqvgffvhBnVAtr/0bJ1SxE9Gj+7//+z9L3bp11WsBb29vS548eSwtW7a0bNu2ze7nb9++3VK7dm31PYnP7du3b7KKPVdVrFgxVSlk74TrNGfPnrW0a9dOvbbAMQoMDLQ89dRTlm+++UZV6bm6zB4nd38+adI6VrZ/srv7cyqzx0nj7s8pW8OGDbNUrlzZkiNHDlWtV7RoUctbb71luXbtmsVd4W/t9957z5I/f36Ln5+fpVq1apY1a9aYfbOcyueff64q93PmzKleF6AyH3+7njp1ypKVsOKTyElkVMHkautmltmVW9ogByP6miYlJakpeKhA/Oqrr1S1nBHMqo5D35fhw4cne4deeycer1tx3qj+ongn++bNm2ooR0ro75QrVy5DKhHtQZ/PDz/8UPXvxfRDR8MxLl68uFy/fl33r43vDVQLaJtHUG2Cd4E1PXv2VNWuRlSCZ9SnNb2+ukRERERE5B4YfBI5CQRgJUuWTNYwGFtjbSE4cZV1s0rwqdf6Fy5cSHUZmq5je4mnp6cYCaGr7RYzbJNCcAQIrLZu3WrIMKnXXnstw8/J7ETKfxJ83rlz5x9f/0+3EKUM4xB6InBEg/SffvpJbSF1JKNDV7MCSGyBdPSxJCIiIiKirIdT3YmcxKZNm9xq3axCrzbIxYoVs/771KlTcuvWLcmdO7fhoSdMnz493enjnTt3NmRdVPvVqVNHzIAqR1QfpvWYxsTEGH6ctXC7SJEiarq6kTITuhph3rx5pgSQ6AHHHp5ERERERJQRVnwSubn169erQS/OyqjhKGZUnGIwxMCBA1W1mgah0cSJE1WTeqNMmDBBhgwZIu5UrZuZwUUjRozQfd1jx46pU8WKFVUY6Sio2jUjdDXrMTb75wIREREREWUNDD6JnMjp06dVYIMqTK0iEFuUEdAYFaKgErF+/fry2Wefqd6PjoAtxthqnBZMaSxfvrz6NybM16xZU8yiV7CzaNEiVYGIaeOYYorJiajGwyTB0aNHqymcttNy9cRwyjFQ8dm7d2/VPzQyMlJNhuzQoYODVjcndDUrgMS6mCqZXkW20VW2RERERETk/Bh8EjmJw4cPqwCyUaNGyYKxpUuXqiAUFV2VKlXSfd379+/LsGHDZOHChfLxxx9L165dxWjoa/n5559L+/btk12O7ccIfr/77jsV/DoDvULDqlWrqtCzVatWqa5bvny5GgJ06NAhcaVwKjAwUNauXZtuOPXMM88Ysva2bdsy/By91y5btqxMmTJFnn/+ecMfU2cJXc0KINEiAsOz0loX2/6NGKpERERERERZC4NPIifRvHlzVd05ePBgu1uVEX6uW7fOsPUPHjyoKhIRVpUrVy7ZdbZTmvWAYScIaVCV9vXXX6vtuGvWrJE+ffqofoRTp06VQoUKiTPApPWIiIh//XWCg4NVIIXtxymhF2NISIgKoY3g5+enwu302E5f13NwFsLA9MIphGZGSPkctl3z6tWrKsxOTEw0NCRHxbajAnyzQlezAkhudSciIiIioszgcCMiJ7F79261Hdqevn37yrhx4wxd/9q1axIeHi6lSpUyPHREwHvkyBH56KOPVND51FNPyYkTJ+SLL76Q1q1bi9Hq1aunqkoff/zxDD9Xj9ATsLX/0qVL8thjj6W6Dpent/X/30IohbDP0YKCggwLNjOCLd8pYbL5mDFjZOXKlXbfYNBbUlKSOAoeX4SegKri119/3WGPsRnVxBlNkiciIiIiIgIGn0ROApVTCQkJdq9DRaBR078RePbr109+//13tV22cePG4gioQsSWd4RyCEHr1q0rtWvXdsjaL730klrvP//5j6qE9PHxMXxNbOt/7bXXVLiNSkDNzZs3pUePHvLKK68YtjYq8lBZ62jpbX92JC3wXL16taoqPnPmjCH9bKOiosTX19d6Ht/P2nkcC4R1cXFx4giOCl3NCiCd5blFRERERETOzZgkhYgeGQLHtCZRY/jNs88+a8hRxRAhVCH+8ccfDgs9MbwIIefMmTPVVHkEUQULFpQKFSrIrFmzDF//7bffVtuAcXryySdVG4GwsLBkJ72hYhcBJIZJ4bHs1KmT+li8eHEVjhlZ0WtWSIT7anbgieNcq1Yt9RzH8DAEoEYN8Tp37pycOnXKerI9j7Xx0Sha6Kqd0FZB+zeCfdtA1hWeWy1btlQV6kREREREROlhj08iJ3H+/Hm1BTt//vxqqyo+ohoT/fqwjXXHjh0qJNPb+PHjZejQoeJICJ4+/PBD6d+/f7JK1n379qk+o+h3uWXLFsNvB0KbF198UZYtW5aqik3v/o8a9GlFj1P0fsQgGgyzatq0qRgJVY5fffWVOBqqalFFnJmWAnpD4IljjapeBN1GthJwBhcuXDAliH711VdVT148lx1pwIABsmDBAtX/uHv37g5dm4iIiIiIsg4Gn0ROBGEYBpSkDMbwR36ePHmcemr5o7h48WKak54ROH7yyScyaNAgQ28DttcjZEUl3LfffpvmMBwzNGjQQNfgN2/evCogclTfR81nn32m+rg6sqWABoE6TgixU27HNmrbOZ5PGdF7UJjZzAwgMZANQ9Iw6Ag9e0uWLOnQ9YmIiFzd7NmzVasm21ZVeA2PN+1RxJAvXz7rddevX5dJkyapXup4rY/XWnjzu23btuq1IAobtEIHfN29e/eq1+NoDcQWNkRkJAafRE7m9u3bhm3FzQrTkbH9fN68eTJ58mTD1hg4cKB6wYVtzwhOnI3eYbQWEGGyPIK30qVLi6NcvnxZvdjF8Kovv/wyVfUnWhy4SgVkylYVEydOTDVEacSIEWIEM0NXMwNI9DJFz94VK1ZYq8cd3U+ViIjI1YNPtN1C26CYmBi1C+37779Xr6OOHj0qgYGBsn//fmnRooVqvdO5c2c1uBQOHDggCxcuVC2usBMHRo4cqVo8od0U/gZBayIGn0RkJA43InISO3fulJdffllu3LghhQsXliVLlkjVqlUNXxfhAF7MpGf48OGG3gZMNf/hhx/UCX0Qsf3cSOgpevjw4TRDN/RjxHR7V4EXn3hX/YsvvpA6deqokCplAIkty0bQnst4TFP2kDWypYBtqIkX6RERERIaGqr6rBolZaiJilejgs6UChUqlGHoahTt+YUAsmzZsg4LILXBbPijC8HnE088Ycg6RERE7u65556Tp59+Wv27Z8+ealcadqmhXRSuQ1Wnl5eXGpaa8jXm2LFj1Rujmrfeeku9RgkICFBvjiP4JCIyEoNPIifx3nvvqXdUu3Tpot5dxXkM3TEawgn0EHU0VDT+9NNP6h1jhL6VK1dWw2BQ8Wl0T8jFixer9fEuNAIyrY0AwlC8A40tOvfv3xdXgjAKk+Nx3+bOnavetdcgnDIq+LRtKYChVo5sKYCKhCFDhqhQDpWBOAY1atRQfW3RT9eVJp6bGbqaEUCiehj374033lA/Q4wMtImIiCg5tOJC8InX7mgZdeXKFVXAYO81PLbDf/DBB8nOExE5EoNPIidx7NgxFQAinMEW7CJFijhkXQQGX3/9tTgSKltXr16ttsQijJsxY4aqsCxQoIBDtvkj/OvQoYNER0ervpMImrdu3SqLFi1SIZ2R07fNgqAIW4vefPNNWbVqlerRZDQzWwqgRyomfyMYQ5iNF9noPYXq0+eff14NDUMvVVflqNDVrAByzpw5snHjRqlUqZJD1iMiIqLku6cAlZ94Qx3Vm3h9T0TkjBh8EjkJrSINUB0XHx/vkHXN6Kmzfv169QIJ22JwcvS2cgzawbvUqK6dOXOmqrRFAHv27FnVX9Nsej8mNWvWVEEYKogrVqwojpJRSwEjobIAW/ttG/JjG/YzzzyjjsH7778vu3bt0nXNlF8P2/h3796d7PFEjytXYlYAuWfPHtW+AD3FUF2C/qII9NeuXasqThHwO7LiloiIyJXduXNHDV5F+yAUaqBNFl7Lv/DCCzJ06FApU6aM+vuFiMgZcbgRkZNA5WHDhg2TVaylrEjTmoLrCX12MlvxOX36dNXX59+KjY1VFXcYYrRmzRo1bAfBI7bnHj9+3LAJ9pocOXKoF3BaOIWm7DhvZLUavj7WTQu2gZcvX94a6iCs1AsCQGxFNiMI+uOPP9Rjin61qPBFhaAWTqF3LI69ERBg37x5025lK1604zmm91Av2/YB9uD4I1w3QsrQFf228L1ldOiKN2wQQOJ+OTKA/OWXX6Rbt26q0gRtKRB0Y5IsetjiD7JOnTrJxx9/rPu6RERE7jzVXYNWUdji3qxZM/H29pZatWrJ9u3bH/nro8cnXhtyuBERGYnBJ5ETVU5lBH/ou9K0cW2KPaY9oi8QquPQg7FPnz6qGtNR9wPb63E7jIRt/J9//rm0b98+VQiHaeBo+o530o2A6mG8OEU7BQSq7dq1UxM3EaSj5ya2KOOder199dVXKpBChSXWxpqoDsSLZKxdrVq1ZM3u9YRgEz0n7fWRQk9b3CajjrcZzApdzQog8bzFcxoVvNpzCm8eoKoXw8nwJhKGphEREdG/Dz4RTuK1IkJOvLayHWaI19FFixZVffofFYNPInIEBp9EWdCHH36o+iY6Gqq59K6Ss4UG6Qjh5s+fr6oEjYKpk6g+1CAQKlGiRLLP0XvC5ObNm1WfS1S3osIWPVxRkYeQF4Odpk6dmmoyt16wLracN23aVK2J6mLcX/Q5/fHHH1XvS1xuRBiH6j9U/mF9VH1evHhR3U+Ej1WqVFGDcYzw+uuvqyAOgTpepNuGwAhgg4KCVJsDypoBZMo3L4KDgyUqKsphP6uIiIjcKfhEaxltqntK2FGC0DMyMvKRt7sz+CQiR2DwSZQFGVF56czr6g2DjDJSv3593dfFFv+PPvpIVUI+9dRTcuLECbUNvXXr1mKk/Pnzq4rL0NBQuXHjhqo+RSiEbeYPHjyQwoULS3h4uOHPl4zO6wn3BxNH8RFhHI4BQlZswUZ1Ivqd4qOeUMWKr//JJ5+o8+h9FRcXp7ZvoeLy119/VeGzKzErgMyoattVflYRERE5e/A5fvx41TsdhQsdO3Z8pK/P4JOIHIHDjYiyoKzeBweBVEYQTBnFiFAzM9BvEqEjHr8jR45I3bp1HTLsBtPrEXpC3rx5VSik9dZEOOeoQVq2lZdGQ6i5b98+1UIC1bb4Ny5DX9GuXbsa0s8VA7MGDRpkPY81zp8/b+3bOnnyZMOCT2cJXVNWehjVVxaBve39Qdiqncd9RgsJIiIiMh52FmHn0rvvvqve2E/ZPglvuk+bNk21wyEiMgODT6IsyKxpxXoFrhjchBdF6P+HLbGODnIROO7YsSPNAU/YBq53P0Rs/33jjTdUGIWp9hgEgymYFSpUkAkTJthtHK8XHF9sLbc9zrbnjTr+2Gpu++IXFXjaeayJQNbooLlXr17q5KhBTrYDyRB8aj1GW7ZsKX379jVsbbNCV7MCSAxas4WfJbbQzoCIiIiMhzfXlyxZIi1atFDtm/A7GAEo/Pbbb7JgwQI1/Ehz4cIF1doKDhw4oD5iR5Q2NMnIPv9E5J641Z0oCzJqyBC2i6YHk8Hxju6/hT6P2A6D/ouoPERogX6TqEZ0hIy2yRqxPRdroDdr//79rc3gAZWICOZCQkJUIGwErIewPK2AE9dhur2rtBSAWbNmyYYNG9RzLCW8IG/SpInuw8KwzRsDk+xVkyIAzJ07d7Jt4HpC31T00tSeW6gsRritTV7H0IHLly+75VA2s3oiExERucNWdw1ed2DAIfq747U+XpOgF/iLL76otrTj9Tfg9S56gKf1utCo18NE5L4YfBJlQXoGc5i8/PLLL6ttKAhP8I6t9i6tI2Dozbx582TRokXqxRH6XxYvXtyhwSfeqY6IiEjzej3gBSDCJ3sQOmKLsm3FnrtBOJaZEC2zMDEeXw+DlVJCv1Nsd8eLeD1hWNO4cePkueeeS3UdtpqjwvefTDx19tDV2QNI9vskIiIiInJf/ys7IqIsA30K9fLee++pd3KPHj2qGpIPHDhQHAlbvbE9uGbNmrJ79+5kAaQrtQ5IK/TUtkgjeHYGKafbOwoCdz2dOXPGbugJCNhxvd5QzYB2Bqh0sG0jgPNvvvmmut4opUuXVr1M7cHlpUqVErN9/vnnpqyb1XsiExERERHRP8cen0RO4lG25uoZTqL6DVWf2I6CaqwiRYqIIyDkRKXnsmXLpEaNGvLqq6+q7TToy2g0VMDZ9n1Er0ntPEISTF83GrYl47HG6dSpU2obkDO4efOmS4RTXl5eaoo7prnb24pl225ALz169JCwsDBp166dquJFlSWqMDHUCdW8PXv2FKNooeu3336remxprQ1Wr16tetjq+WZJVgsgzeqJTERERERE5uNWdyInYcbW3Mz0uzRCyZIlxcfHR1WYYpu9NnHcVsGCBQ1bf9SoURl+zogRI3RfF8f5p59+Ug3dETajAfzx48dVY3cMO3IGZm0L1ntdBOnY/o0povamj2It9Jk1AqqWMVBI65uLhv7o4Wo0vHExfvx4u6GrEc9nd31uERERERFR1sHgk8hJZBQ4GhVIIoC0bTCOhuK2k6lh3bp1uq5pW22nVWPZVoMZNWzHTAh4UX2H0PeVV15Rw5yw/RhDaNDn1FGDndwlnEJPVQSOqPhs3bq1+ogK0OXLl6uPu3btSrf9QFZlVujqzM8tI4aVERERERFR1sCt7kROwoytuTB9+vRk5zFh3WiYMm0me5V+CIARhGGwE6rk9LZ+/XoJCAiQtm3bqpMz9Fx0Jnpvg8ZjiUFCU6ZMUYFzeHi45MqVS5o2bSoDBgyQPHnyiN7wHEq5rVp7XiHoxnAjX19fMRKqp+0NV3IGZm11d4Zt/kREREREZA5WfBI5CTO35jozDNs5e/asrl/TtsJVEx8fr6oEMRV7xYoVUrZsWV3XRN9QVBuir+maNWvUMBpUfn722Wdqu7sRQZzZ1XHPP/+8GuyTGWgB0L59e8nKLly4YPd5df78eRk7dqxUr15dJk6caMjazhC6ZmTSpEm69idGpfTo0aNV2whUuiL0rVOnjpoejzYSREREREREDD6JnIRZW3Pnzp2b4eegv6hZHL1N9dNPP5W1a9eqcNIo2Ia8cOFCNdgIQ54w3KlPnz7SpUsXMRuqi7H9Pqv3VkTlsu2gMPS+RPinQTsHtHVwFHwP4/v73LlzLhe6mhFAHj16VH3fNG/eXFq1aqV+XuK5izct8L2L7f4VK1Y0ZG0iIiIiIso6GHwSORFM1MbW3M2bN1u35jZq1MiwrbmALfSoPkTvSXtbUVFFhq3CZnF0eBYXFyeFChVy2HRzBGEYdoRqXlR+GuGxxx5Ld7I1rjtz5ozu65oZfGY0tMvRtw09a/E9bPTgMEeHrmYFkBiMVrhwYVVFmtKQIUNUELxgwQLd1yUiIiIioqyFwSdRFoCw5PPPP8/UNPJHhUotBASo0kLFIbYbI3B1Fo4OqLAWJqyHhYWJq9i7d6/dyzds2KAqXNFiAZWBekOv1GeeeSbdz9m0aZM4olIYz29UI5r1vFq6dKl8/PHHqnLb0YwMXc0KIFH9jmOJtVO6cuWKCmMvX76s+7pERERERJS1cLgRkZNAteWMGTPUQBYMvsHW56ioKBkzZowaQJRy0rqegz9wOnDggNoaXKVKFalUqZIKQdu0aWN6X0BHtxsYNmyYNGvWTPevjcrdjBgVAiIEsrVx40YZOXKkCoiwBbx79+6GrIsek2+++aaYIWWFa3oVr3rp1atXmtvNsR0cVZBmwLoI842A7e1phbn9+vVL9dzTC0Jse6EnoGL7zp07hqxLRERERERZC4NPIifx9ttvyy+//KJ64y1evFgFCggjn332Wdm/f79hwYXm6aefVif0AUQvRAxbWrduXaYCu6w2CdreIBhMmvfy8pIXX3xRvvjiC93XRD/JMmXKqN6TGJxkxoRrVHgi8MTWZzzG3bp1M2SCve1xxgAnM6Blwbhx46znY2JirOdx7BFI6g2BW0o4vhimha3gefPmFVcLXc0KIDMKsh0RdBMRERERkfPjVnciJ4HwYNu2bWqK+cmTJ1XQuWzZMmnZsqVD1kfIionjS5YskSeffFIFnwgB/fz8xFWG7aQ3CAYBFdZBz1OjqknRxxNVtYGBgSoAxbRtI8Mwzfr161WbhOvXr6uKVlTzIuR1tcFUtl577bUMP2fWrFniKuy1wcBzukiRIoaGrhm1DDCqpQC+T9MK7RFs440MbPEnIiIiIiL3xuCTyEmkDAgcFRohMMGE8dy5c6swrl27dob3+DRr2I49WAeDjHD/0WLAEVCBh5B50aJFUq5cOfnqq6+kePHihq2HkAjDfRCiowrTnmnTpum+LoJeBOjuBH000TcVbQtu3bqlnleomkZFtzP1zs3qAaS9Ny9SKlasmO7rEhERERFR1sLgk8hJBAUFqa3I2hbo5557Tk1Ftt0SXbt2bUOCC0x0R/CWVhiJLe+uMGzHFkLHgQMHJgtQUB2HIFjreYkKyXz58um+NoIgPLYIP/ERIRl6qxolM0OxRowYofu6b7zxRqrnFIJXDKZp27at2vpvlPv371u/rwABHHrlalPIEfLrDc/ZevXqqUFC6I+L5w6eQ6jcxscdO3YYGnCbEboygCQiIiIiImfG4JPISaQXPAKuO3v2rO7rzpkzJ8PPQS9II9kO20HvSQSPaVUm6gE9VHv27KnWtA2osM0fIeHkyZNVuwGEZh9++KFu6+7evVuFnQjCEL6hGvKFF14wvJ1AZiaJGxGq2wtc0XcSYdmqVavUsWjRooUYAccVE8e1gLN///5qPQSBaCkxYMAANXVcT6iWRl/Lzz77LNV1WB9TxtHH1whmh65mtDLI6OclhsUREREREZF7Y/BJRKZx9LAdTdWqVdW6rVq1SnXd8uXLVW9TBIEISFE1pwdU1SLMRRj38ssvS2hoaKrPKViwoBjZWiCtgUpGheoZDXt699135eDBg4Z8/fz586vwGi0kMNgIgSAG/DRo0ECticcB1+sJ7QTQOsHeYxseHq5aKWAYkBHMCl3NCiAxhC2tqlesh6FKRgywIiIiIiKirIXBJ5ETO378uPz1118qqDOqWgth0OrVq+Xrr79OdV2fPn3k+eefVydXGLajwVb6yMhIuyErwhIMH3rw4IGuIazt0CQtKLINInGZOw1jwX1HQIjHwQghISHWr719+3a1tR7bv40cuoOvGRYWpp5fKaFfL4JJIwb9mBm6OksAicf6k08+kS+//FK1CUGlNgbEERERERGRezO+tIqIMuWdd96Rp556yro1FxOn0SMRQQZCk59//tmQCe+TJk1SJ3uw5fy9997TPfhs1qyZddgOtmHb24ptxLAdTY4cOeTSpUuqEjIlXI4qT70rT9FjkpJvzTZy2A8G2+B5hcrdlStXqkpP2yDQ399f9zVr1aqlBlUNGjQo1XW4vGbNmmKUhISENNtD+Pr6GhaqDx482G4A+d1331kDSCMhzMV6eOMGP6fQTqJs2bKGrklERERERFkHg08iJ4H+kgg/tWq4999/X7744gtVdYnehKNHjzYk+Dx27JjqN2lP9erV1fV6Gz58eLrbY43Wvn17tUUXA45st7JjunuPHj3klVdeETOVKFHC4VvPjWAv0NZ6fE6ZMkUda6OglQH6fKLq79ChQ6qPrG07Azy39fbxxx9L/fr1Zd++fdK6dWu13R5tHNBnE20dsL3fKGaGrmYEkLbr4efinj17pHTp0oatR0REREREWRO3uhM5Cdutt4cPH1aVavjjHtVaqBZEdZwRW1VRUXr69Gm71XdG9yU0C7axY+sztkAjENICKoQnCJAQjGG7u1myZcumqnyzOtuKWi3oRiVt4cKFVfjcq1evZC0A9Hbq1Cn1vYRWEQiTNTt37lRb4cuXL6/7mugbijYO2mR1fF9hoBLCfiO3XuN+InRt3LhxmqFr5cqVDQ8g0brCEQEkfl7iZ2O/fv3SXA/Dw4iIiIiIyL0x+CRyEujhiSCuSJEiakAJwjeEJxAdHa3CIvTN0xsG/FSpUsXuBG5cduDAAdUH1BWmjKe0bt062bx5szWgatiwodqGbzYj+k+aCQGkdpwxZAjbzlmdJy4RupoVQOI5lNFQJe3nJxERERERuS8Gn0ROYsyYMWrqcosWLWT69OmqigpDf2Dt2rUq0MhMYPiojhw5IvXq1ZNnn31W2rRpk6xSDNuDd+zYIRUqVNB1TXu9Nc2eMp5ewGLkFmVXDj7RsqFv376q32PRokUlb968aqDVxYsX1TZ3VAkaVfHZpEmTDNspIPh2lDVr1sj48eNl69at4koYQBIRERERkTNjj08iJ4EhIKj2RIWlbegJCIsGDhxoyLpPPvmk6kmIYBX9AbG9XasUw9ZvIyrFzp07J1nFb7/9ZvZNyLI++ugjVcWM53SlSpWsl6PnJp7fY8eONWz4TefOncXR8IYBhoHh/qFFBHr0IuT973//q76vUBVpBiNDV0e/KZAS2nRo1cTo14uqbRx7IiIiIiIiYMUnURbUrVs3mTNnji5fy7aKFBV6GttqOb23nSPwQpUpBswYMV07q1dfukqPT/TVROVwxYoV7VYaoxelGSE4euZOmDBBDRDTEyqm0T8WHxcvXqyCULSpwJsKHTt2FC8vLzEzdMX1rhJA4jG0rSbOly+fw6qJiYiIiIgo62DwSZQF6RnG2RtAYxuCGrHtHFPTMWAGIQkGzyAErVu3rjph2JK7B59Xr16VAgUKSFYXFBSkAlx7AVRiYqIKeBEMOlpsbKwaXoXboCf0L8X3Cu4Xhv6gcvr48eNSpkwZMZpZoatZASRag/z0008yb948u9XEGJ5lVDUxERERERFlHQw+ibIgV6kIREiEABR9RHHCcJayZcuqIBSBiSsFnwiYMxrGcubMGXEl5cqVU/1q69Spk+o6bIHv2bOnnDhxwpTgMyAgQIV2Rj5XEOIjAHUEs0JXswJIZ60mJiIiIiIi58LgkygLcpXhN7aOHj2qgoypU6eqStCEhARxpZB57969di/fsGGDfPrppxIcHCznz58XV/LVV1+pLeUIsTG0C+EuKolXrVolffr0kSFDhqiPrlLxibYNmKBu2+P0gw8+SPY5em+vNzt0NSuAdNZqYiIiIiIici4cbkREDhcXFyf79+9XVZ6o/NP6EqIycMaMGbr3FM0MhEQIaFBxilBFs379el2+fo0aNZKd37hxo4wcOVKuXLmiBs90795dXA1CzTt37qiqPwTZ6P2IUNvHx0eGDh1qaOg5f/78dJ9/RujQoYOcOnUqWUsH2/MZTZn/N3Cfxo0blyzctT1vVOiKbe3ly5e3ex0ux/VGwLb63bt3260mRt9iDIojIiIiIiJixSdRFpTVt7qjMg5bv7HVGdvaq1SposIwR/n444+ldOnS0rZtW3UeFYgIqVAhFhISIitWrLAbqOgBFZ4IPNGDEeEfBlV5e7v2e1CoRERIhdATW7Br1aolOXLkMHRNDNfJCIbxuAoE5xm1Upg5c6bLtDNw1mpiIiIiIiJyLgw+iZxcVFSU2gZtCz31UEWXVWE7MHp7IhBBX0CEJjhhyjt6LxoNVZ0ISLSp0yVLllQDYBBEYqv9r7/+Klu3btV1TVSOYtAMKuCGDRum+h8aOeWb0hcWFiYFCxbU/WtmRO81zWZmAIlKabQTsFdNjO8xIiIiIiIiBp9ETg5ByeHDh9XwEleDXny//fabdbjRvn371P1FCDplyhTD1kW1IbZgAwbAIHy9ffu22uIeHx8v+fPnl/DwcF3XRC/CnDlzSsuWLdOsbp02bZqua5Jje3ziMdaCP7D9t3Ze7zWdIXQ1M4A0o5qYiIiIiIiyDgafRE4irenL6DuJfnaoDsTUc1eEKkhsi0X4uXDhQrl586ZhAREULlxYhckISr777ju1BRjhiRaKIfjUezAMtrdn1ONxxIgRuq5Jjp3qnpIjp7qbGbqaEUDijQq8UdK8efNU161Zs0ZVj+ONBiIiIiIicm+u3ViOKAvx8/NTQQmqpFCNBgguXnrpJZk8ebJL/RGPLe5alSdOmGaOqdB169aVL774QvX9NBKO6auvvqo+YpvugAEDrNcdOHBA9R/VG4JPch5GDhpy5BqalCGuo0JX2wCyWbNmDgsg0TaiUKFCdoPPo0ePqrU/++wz3dclIiIiIqKshRWfRE4C1VjoL4lBIZi+jGAOChQooKoT8+bNK64CwS4CEQSdOGGKe/bs2R22vjYBGyEnpq3jeGv9NhG8YvhSr169dF0Tk6YzYsY0e3dk1Fb3lBD4IRg0g6PW7t+/vwogBw0alOo6vGFz+fJlQwJI9OVFmwx7VaVoY1G1alU5c+aM7usSEREREVHWwuCTyMncuHFDBg8eLKdPn1aBAXpCHjp0yKWCT/TRzOwU9w8//FDGjBkjWV1GVaSoDjx79qzDbo+rw/MrrYpLVFKjQpLBZ9YNILNlyyaRkZF2B4ThcQ0JCZF79+7pvi4REREREWUtDD6JnBT65aGa6vfff5dLly7Jpk2brFWg7gSVoOgfqKe5c+dm+Dldu3bVdU1yrAsXLmT4OcWKFdN1zSZNmiQLW7ds2SINGjRI9jnr1q0TV6r4NCuALFu2rMyZM0dq1qyZ6ro9e/ao719X7YlMRERERESZx+CTyImhMg2hH/p/YuK40RVqzgjBit7ByXPPPWf3coRW+/fvV4GR3sd67NixqncptvhjKz25HgRxGenWrZsha5sVupoVQGKSPN7AwDC0SpUqWS8/cuSIdOzYUa2LynkiIiIiInJvHG5E5MQQZGALKXoS2k5odidGDIj59ddfU122ceNGNTAlODhYhZR6QyDz9ddfq6nX2P6LEFTrcYpBNKSvzPRonTZtmq5rXr16VYYMGSJm6Ny5c7LznTp1csi63bt3l9dee81uANmjRw91MgJCTWyhx/cSKnfz588v165dk4sXL8rrr79ut+coERERERG5H1Z8EmUBjhrG4i5b3e0FnleuXFFDjlCR5+1t3HtC6OO5c+dO60R7VMOhag5BKIJR0gce04yMGDEiSz1X0zNhwgRTQlf0SkXIPGvWLLsB5LfffmvodPvjx4+r6tbw8HDJlSuXNGzYUH0/ERERERERAYNPIieR3tRvBJ+NGzd2y+DTiK3usGHDBhk5cqQKaRB4YmuskYGnPUePHpVly5bJ1KlTVSVoQkKCQ9enrPFcdfbQ1YwAEscZxzstJ06cYABKREREREQMPomyytRvOHfunLgKDERB9WOpUqVUaJOWSZMmycCBA3Vdu06dOioYGTBggHTp0sVu4FmwYEFd14yLi1P9Q1HluX37djl06JC677gttWvXViduedfPtm3bMvycZ555RscVRfXiHTZsWLqfM3z4cHGl0NWsADJl0FuxYkX5448/0ryeiIiIiIjcEys+icjhli9fLh06dJCYmBjVU3Px4sWqotVRPD09rf/WtuHa9lDFZXpX12KgEcLtnj17qm3tVapUER8fH13XoOSPceHChdXzy15/XDzGf/31l66HzNfXN8Oelka1MzArdDUrgEwZ9OJNg4iIiDSvJyIiIiIi98ThRkTkcB9++KF88sknajDKzJkz5YMPPnBo8Im+hNpHVKQhMMmZM6eUKVMmWSiqJwxbQW/PTz/9VDZt2qQqPXHClPeAgABD1nRneG6tXbtWKleurKp6mzVrZthjaxtum9WnFeEuhiuZsa6ty5cvp3u9XlL2Dc3oPBERERERuSdWfBKRw2FS/Z07d9S/UVmJgSg3b9506G3ARG8EruhJqEFvwtGjR0vv3r0NWxf397fffrMON9q3b5/aVo8QdMqUKYat647QG3fFihXyww8/yIEDB6RNmzYqBEXYbAR37PGZcl28gXD79m3Db5dZ6xIRERERUdZibPkLEZEdtlVgXl5eDh/ahDAMFZioPEWf0ejoaDlz5ow6j0FH2IpvFNzfatWqyauvviodO3aUl156SS5cuCCff/65YWu6K2z/fvnll2XJkiVy5MgRtRUdvVQ3b95syHqdO3fO9OdOnz5d17WNqqx0Vvfv31cV2toJIaf279KlS6vvaSIiIiIiIlZ8EpHDIfwrWbKk9TzCxxIlSiT7nJMnTxq2ftOmTaV9+/aq32ZKM2bMkIULF8r69et1XRNb6rUqT5zOnz+v+iHWrVtXndD3s0CBArquSSLXr19Xj+e8efNUT1kEzm+99ZaEhISYenj0rkjEfcrsNnuErvae+3p/LyOMxUC2hIQE0dvWrVsz/Jz69evrvi4REREREWUtDD6JyOHMDi3y5Mkjx48fV1vbU8J2WVSN3bp1S9c1AwMD1RZrLehE5WF60+zp35kzZ47Mnz9fTp06pULuTp06qaDZWbjKtnizv5eJiIiIiIjSw+CTiNxORsGPEf0B4+PjMz3FHVvux4wZo+v67gaDjBBgI2ROa6gR+ryaxcwelK4w8XzNmjXqGOINBEDA3a1bNzl69KjUqFFDZs2aJYULFzb7ZhIRERERkckYfBKRwyGU2LBhgxo6Y69PYpMmTVSIYZSgoCC1flp9EbEVPioqSszCwSz/3siRIzOc7D1ixAhxx8dYz7XNCiCffvpp+fLLL9UagIAbt6Nv374ye/ZsFXb/+OOPuq9LRERERERZC4NPInI4DPfBVuQnnngi1XXHjh2Trl27yv79+w1bv3jx4hmGYuhNaBZXqMjLSvTseeluW93NCiAxxf3GjRvi7e0tV69elSJFisilS5dUn1y0q8DPlmvXrum+LhERERERZS0MPonI4RBaIJz4p9e7OlZ8uv7x7tevn0ydOlXMoGfoalYAmTt3bgkLCxNfX19ZtGiRfPDBB6pvL6CSO0eOHKZV1BIRERERkfPwNvsGEJH7wSRohCH58+dPdR3Ck7R6MhIZIa2WB4/qzp07cuTIEalXr546P27cuGQTzf/zn/+ooBDMCj2he/fuun0tfK8mJSWpf+/cuVNKlSqlQk8IDQ2V6OhoMQKOMdoZ4L6g4rRVq1bW606ePCn58uUzZF0iIiIiIspamC4QkcOhh+fw4cPtXjdq1CjVY9Od6RXEUeZk1PYgsyZOnJhsyvn48eNVkI/T9u3bZdKkSYY9JAhdsYYGoevo0aOtJ9sKaj1DVy2ARNjoyADyiy++kN27d0vVqlXVGylDhw61Xoc2Gs2bNzdkXSIiIiIiylq41Z2IHO7ixYtSq1YtVfHZunVr9REVoMuXL1cfd+3aJUWLFnW5RyYyMlLOnj2rquKwvTotCMgGDhzo0NvmzvTa6l6uXDnZvHmztZIZFY8RERHq39evX5dGjRrJn3/+KUZ4//33JTAwUG351razY1AYnD59WvXiRBCrN2xr13ry1qxZU37++Wd1v7XbhC31Zla3wrp169z+zRQiIiIiInfF4JOIHO7y5cvi5+cnU6ZMUUFReHi45MqVSwVDAwYMkDx58rjco4JQt0OHDhITEyPBwcGyePFiady4sdk3i3TseRkSEqLCbc3nn38u/fv3T/N6PZkZujp7AMmeuStU0E4AACLZSURBVERERERE7ovBJxE5nDsGEZUqVZLevXurnoQzZ86U77//Xvbs2WP2zSIdBw1hW/dvv/0mhQoVshv2V6lSRW7evGnIMTczdHX273s9hzkREREREVHWwuCTiBzOHYMITJlGH0ZITExUlXlGhWAkMnfu3AwPA7Zo66lLly4SEBAg06ZNS3UdQm8853/44QdDHh4zQ1dn/753xzdaiIiIiIjoIQafRGRKAPLXX3+lO8TH1Xp8pgxfMN3bduAM6eu5555Lc5AR+lHi2COANqJ3bcGCBdWQH6137YoVK+TKlStqGI9Rz2szQ1dnDyAZfBIRERERuS8Gn0TkcJ6enuLv759m8IlwKjo6WlwJJk+XLFnSeh5DjkqUKJHsczAFm4yzceNGGTVqlBrIgyngvXr10n2NGzduqN61W7ZsUb1rEXA3bNhQ9a41asK52aFrZnGrOxERERERORqDTyJyOHfc6r5169YMP6d+/foOuS3uGngiAMSk8W7duom3t7fu6xw9elQqVKggZjErdDXj+37BggXSsWPHTH0ugmAMFyMiIiIiIvfD4JOIHI5bT8kRNmzYICNHjlSVjwg80dPTiMBTExwcLKVKlVLbzl999VUpUKCAOIrZoaujA0j+DCEiIiIioszwzNRnERHpKL3enq5q1qxZ0qlTJ7vXde7cWebMmePw2+TK6tSpIx06dFC9Pjdt2iTNmzdXFZFhYWHWk96uX78u7777rgpcixcvLo0bN5bZs2dLVFSUGK1mzZpSuXJl+eSTT+Tq1aviKDt27FBtA+xB2Lxr1y7reT2rLt3xZwgRERERET06VnwSETlAtWrVVLj5xBNPpLru2LFjqhoRQ3dIvz6ytj1jUwZluEzv4Ua2ELJiO/b8+fPlzz//lBdeeEFVgj7//POGrHf//n1ZvHixWg9Bb7169VSg/vLLL6tKVKMgUEbY26RJE7stBiZNmiRr1qzRfV1tkFN6ASi+p4iIiIiIyL0x+CQicoCMprhzyrvr2rZtmwrhMFTJyLDVjNAV2/lRPYsgOSWEkrgerQb05uPjo8LW9AakrV69Wvd1iYiIiIgoa2HwSUTkAHny5JE//vhDTdtOCVuTK1asKLdu3eJjYYBTp06pY4vHAD04HQFDfH755RcVPmI7OIYMoQIzswN5skroioFFGBqFnpsp3b17VwoXLqw+6o09PomIiIiIKDPY45OIyAFQnTZ8+HC712HieNOmTfk46OzHH3+UokWLStmyZVXPzzJlyqjzqIY0QlxcnCxZskTatWunAu5vvvlGWrZsKRcuXJBVq1Y5LPRE6IreonhOYSt6+fLlZd68eYa1cPj+++/tXoc1n3rqKUPWZY9PIiIiIiLKDOPG2xIRkdWECROkVq1aKghq3bq1CsawBRgDX/DRdggM/XuLFi2St956S011b9OmjeTLl08NH0Iw+Z///EdtlUb/Sz1hjdy5c6uJ7uPGjZPSpUsnuz4pKSlZ71G9Q1eEq6gwxRZvVBBjmNYPP/ygKl2NguPbokULOXv2bLLn9bJly1QPTqO2m6OHKRERERERUUa41Z2IyAEuX74sfn5+MmXKFNm8ebOEh4dLrly5pFGjRjJgwABDwyl3VLVqVRXKtWrVKtV1CJtRfXvo0CFd19y9e7cKt1M6cOCAqor86aefDJu4Hhoaag1dsaXekaHrli1b1AT3vXv3qkpM9NesUaOGCn8bNGhgyJpRUVFqnaCgIOv9mz59uhw9elStjdCXiIiIiIiIwScRkQOwJ6FjYZJ5ZGSkeHun3tgQHx8vISEhahK6Uc6fP6+2eqPi8uTJk2qwUN++faVZs2aGrGdm6KqJjo6WiIgIFcIGBgaqyxDyo7+p3jCwCa0DtICzf//+6njjjQT0NcWbCUOGDNF9XSIiIiIiylrY45OIyAHYk9CxcuTIoQb62IPLcb3eEPqhryf6iWKI0tq1a1XYiSAQ1YhGhZ5gG3oidP3oo4+kXLlyqvrx3LlzquenURDsorUAPhYqVEiFnqiqxdodOnQwZE0EuuifCjExMTJz5kw1TOrnn39W2+txnoiIiIiIiBWfREQOgOnXf/31V7oBKAbvkD5Q8ff777+rQA5bwDU3b96U9u3bS+XKleXTTz/V9XCjlQEeZ1QavvLKK1KkSBF1eYECBeTw4cOSN29eMQpCVwxzQnUntpwjCMVtwHZ/PO+MWnvGjBnSu3dvyZkzp2rfgF62mzZtUj0/8Rh069ZN/P39dV8XFbuo6IXt27dL27Zt5datW9brWWFNRERERETA4UZERA6AbdWYLp5W8Il+hdgqTPpAf0mEYcWKFZOaNWtah+7s2bNH6tatq67XG0I+VB1OnTpVDVJCtaNRU81Twv3TQteFCxdaQ9exY8cauu7HH38sK1asUNPjUeWJYz548GBZuXKlYT1FAY8rBoLVrl1brWXbSxQBrBFhKxERERERZT2s+CQicgCEUvfu3eOxdrB169apPpOoBtSGSTVt2tSw9bTp6ug3iS3X2PodFhamBgBVr17dsHV79eqlQlf0NkVFqxa6Gl1tmrKyMiAgQA0e8vLyEiMtWbJEevToIY8//rgaUrVx40brdv9Zs2apY4FAlIiIiIiI3BuDTyIiB+DWW/dz584dtf0cA4527twp9evXVwGdK4WuKZ/X2PJ++/ZtcYTTp0+r0LNq1apSokQJ6+U41tgKX758eYfcDiIiIiIicl4MPomIHIAVn471xhtvqPYB6Zk2bZrDbs+FCxdk/vz5MnToUGslqpGVp44KXbGd3dv7f11zEhISrOfR1gGPAQJZo2CNEydOWKfJo51ERo87ERERERG5DwafRETkckaNGpXh54wYMULcoQLYyNAVXzsz/TiNgOD6gw8+UD09td65GGQ1evRoNXCJiIiIiIiIwScREbmcBQsWSMeOHcVZmVkB7IjQFdvdse3dKBio1KVLFxkzZoy0atVKDXe6evWquhyB9uzZs9XlRERERETk3hh8EhGRy3H2nqpm3j49Q9e5c+dKvnz5pFmzZur83r175aWXXlIhJPpuLl261JBem6hYxRCnnj17prpuxowZarL9+vXrdV+XiIiIiIiyFk+zbwAREZHetK3PlJqePTAnTZokBQsWTDZdHqHkkSNHpHnz5jJw4EBDHoLff/9d2rZta/c6XI7riYiIiIiIWPFJREQuJyAgQPWATC8A7dq1q5jFVba6Y3o6BgshTD1//ryULl1abty4oQYNRUVFqapPnHf0fXD2il8iIiIiInKM/41iJSIichGYLo4+n2kFnwjq9A4+H6WvaMOGDcUVqmH9/f3l/v37EhwcLDt27JAKFSqo0FO7LjY2VoyQmJgou3fvTvO+JCUlGbIuERERERFlLaz4JCIil2NGxV9WqTLE0J/ly5fr8rW6d++uwsdOnTrJ4MGDVX9PTFoHbDfv3Lmz/Pnnn6K34sWLZ7hl/9y5c7qvS0REREREWQuDTyIicjlmbCU3c/s6qi1XrVol48ePT3Xd+++/Ly+88ILUrl1b93UjIyNlwIABsn//fqlRo4Z8+eWXqtITxo4dq0JRLQg1y4MHD1TrAyIiIiIicj8MPomIyOW0aNFCVq9enery69evqy3p8+bNkwMHDrhMX1EMEnr33XelSZMmqa7buHGjGkK0Zs0aMdP06dPtTmE3WlapxCUiIiIiIv0x+CQiIpcWHR0tixcvVmHnpk2bpHz58tK7d2958803dV3Hx8dHBY/p9RW1F8bqoUCBAhIWFmZ3+zduD66/du2amMmsANLMSlwiIiIiIjIXhxsREZHLwXCbdevWyffffy/Lli2TXLlySbt27WTfvn2ydu1ayZs3r+5rouLTqGAzI5igjnAP4WJKuBzhr9n0HKr0KDLqBUpERERERK7L0+wbQEREpLeCBQuqgTs5c+ZUW7wvXLggkydPFj8/P5cL9qBatWoq5LUHla5PPfWUmI0BJBERERERORorPomIyOU8+eSTsmXLFjl8+LA8/vjjUqZMGUOqPG3Vq1dPzDJy5EjV1/Ts2bPSunVryZ8/v9rajmpX9B01qxKViIiIiIjITOzxSURELgnBnzbI6MiRI/LMM8+ore7492OPPWbIdnNUNQYFBVm322Ogz9GjR9XEc1SgGglBLya47927V1Wf4rZg3XHjxkmDBg3EbGb12gwNDZWIiAiHr0tEREREROZj8ElERC7v2LFjKgCdP3++3Lx5U9q3by8zZ87UdY0XXnhBOnbsaA04+/fvr9Zs1KiRbNu2TQYMGCBDhgwRo6GfJ4I+BH6BgYHqss2bN0vDhg3FTP369ZOpU6fq+jVPnz6t7tutW7ckd+7cKuAtXbq0rmsQEREREVHWxeCTiIjcyvbt2+WHH36Qb775Rtevi+3lJ0+eVAOGYmJiJE+ePLJixQoVxh08eFCForjeKPjaqGYtVaqUVK5cWV22fPlyGTt2rJw/f16uX79uyLq3b9+WTz/9VDZt2mQNIBH2vv3222qolBFQTdu3b1/57rvvpGjRopIvXz51/y5evCg9evSQr7/+Wjw92caciIiIiMjd8a8CIiJyWQjiEhMTrecRjq1cuVIWLlyo+1oIO7Wp6vv371eDlLQt5hguhK33RpkxY4aUL19ehYFPP/20GuSEnp+DBg2S119/XQ13MgIC1UqVKsmqVaukWbNm8s4776iP6CmKy3G9ERDm7tixQwXK6Gu6e/du9fHAgQOya9cudT0RERERERErPomIyOUg/MJ29qtXr6ot3z/99JPq7zl+/Hh5/vnnVUCHgFBPCPpQaVi7dm0ZPHiwnDlzRhYtWqSuCw8Pl3LlysmNGzfECGXLlpXPP/9cmjdvrqo827Ztq27DRx99ZGjlY7t27aRQoULy2WefpboOW/0vX74sv/zyi+7rlihRQg1uqlixYqrrUPWKAU/nzp3TfV0iIiIiIspaGHwSEZHLqVmzpjRu3Fj125wzZ458++23Ur16dfWxePHihqy5ZMkStc0aU+QPHTokGzdulFq1aqnrZs2apQJAVJsaAZWmd+/etZ4PCAhQw5a8vLzESDlz5lQBL8LllBD2Ytu9EYOFMEAKg5Lshbqo8MUgJfQ6JSIiIiIi98bgk4iIXE5ISIjqPYlgLC4uTgVl2PaeI0cOQ9fFsB2EnlWrVlVViZqdO3eq24Tt6I4IPhFI4v4bDeuGhYVJcHBwqusQTKIa1PZ26QXVs9OnT5c6derY7eHas2dPOXHihO7rEhERERFR1sIen0RE5HIw/EarBvT19VUVgEaHnoAKx5deekmFreg7efz4cbFYLCqgMyr0BFR34n5qp8jISOu/fXx81EcjoKL1q6++snsdLkflrVET4jEsCr1FcXwBH1FRiypfbLMnIiIiIiLy5iEgIiJX8+DBA2natGmyYND2PKxbt073dadNmyYffPCB2uatBXKYcj569Gjp3bu3GMWsfpYff/yx1K9fX/VPRV9NTLbHECf039ywYYNs2bLFkHX79Okjd+7cUX1cExIS1DFGRS9C3qFDh6rriYiIiIiIuNWdiIhcDvp6ZqRbt266rrlixQrp0qWLjBkzRlq1aqVCQAxXwuUjRoyQ2bNnq8sdCdvdse3dSCdPnpRRo0bJpk2bVPiYK1cuadSokQwfPlz1OzUSttGjslZbFxWojqjsJSIiIiKirIHBJxERkQ5QUYoKRPSXTGnGjBmycOFCWb9+vSHHeu7cuZIvXz5p1qyZOr9371615R7BK3qNLl261JCt9gsWLFBbzh0tZU9TIiIiIiIiexh8EhGRyxk3blyqy7ANumjRoiqgtDeF/N/KkyeP6umJykN7lZdlypRRlYlGqFixosyfP199hEqVKslTTz0l7777rnzzzTdq8vrq1atdJoBEz1YMTyIiIiIiIkoPg08iInI5r732WqrL4uPj5cKFC3Ls2DE1FKdGjRoODQGNDAkxMT4iIkI8PDzk/PnzUrp0ablx44YKeNHfFFWfOO8qASQrPomIiIiIKDM43IiIiFzOrFmz0rzu559/VpWQO3bs0HXNxMRE1W9SG2pkb9K8Ufz9/eX+/fsSHBys7leFChWsVa24LjY21pB1MVjo+++/T/M+Q9euXXVfF2Gul5eX3etwWxAA4/EgIiIiIiL3xopPIiJyKwjEsC0d28/1VLx4cRW4mTF9vXv37irw69SpkwwePFj198R0efj999+lc+fO8ueff+q+LtoHNGnSJM3gE8fDiC32CHixfT896HlKRERERETujcEnERG5FWz5rlatmtr2bpYHDx5IQECAbl8vMjJSBgwYIPv371db+L/88ktV6Qljx45VwaQWhLrClnNudSciIiIiosxg8ElERC4nLCwszR6fY8aMkSeffFI++eQTU26b2cHd9OnT7U6ez0o9PjnciIiIiIiIMoPBJxERuRxPT0+1zdp2CzZ6QmKqe7t27WTEiBG6VlxmpeBOz9C1RYsWmd7Kvm7dOmnatKku6166dEmKFCmSqc/FYKezZ8/qsi4REREREWUtDD6JiIjcqOLT3SaxszqUiIiIiMh9cao7ERG5rPDwcNX3MiIiQnLmzKl6e+KjO8toAJNR0pv87or3l4iIiIiIzMfgk4iIXNLQoUNlypQpkpSUJLlz55Zbt26p7e5vv/22TJgwweyb53YYQBIRERERkaN5OnxFIiIig82ZM0fmzp0rixYtkpiYGLl69ar6+PPPP8u8efNk9uzZpj4GCGDNYlblJRERERERkaOx4pOIiFzOjBkzZOrUqdKyZctkYSPOY7r7p59+Kt27dzdk7dOnT8vmzZtVhSkqTRs0aCClS5dO9jnYem8Wo+63swauDHqJiIiIiNwXhxsREZHLQR/PCxcuqME2KWGwD6a76x0+Ykt937595bvvvlNfP1++fHL9+nW5ePGi9OjRQ77++ms1bd4ot2/fVoHupk2brKFro0aN1Nb+XLlyGbLmggULpGPHjpn63FatWsny5ct1u6/79u2T5s2bp7puzZo1Ur16dWsvV1T7FihQQJd1iYiIiIgoa2HwSURELidHjhxy584dh04YHzNmjPz0009qK32lSpWslx86dEi6dOki7du3lw8//FCMcP78ealXr57kyZNH2rRpYw1dly1bpj7u2LFDihcv7jKT2vv37y+FChWSQYMGpbpu8uTJcvnyZfnss88cfruIiIiIiMi5MPgkIiKXExAQIDNnzkxzm3PPnj0lOjpa1zVLlCihgsaKFSumuu7IkSPSunVrOXfunBihXbt2Kgi0F/YhJEQQ+Msvv+i+LipqUUHraCVLlpTffvtNBdwpIfCuWrWqnDlzxuG3i4iIiIiInAuDTyIicjnoq5nRFHH04dRTUFCQCgHtbWdPTExUIaHeYasG27oR9IWGhqa6Ljw8XEqVKmVIX1EEzNOmTUu3j2bXrl11XxfHMjIy0u6QKBzrkJAQUwJZIiIiIiJyLhxuRERELmfLli2Z/twTJ05I2bJl//Wa6Ou5e/duqVOnTqrrdu3aJUWKFBGjJCQkiI+Pj93rfH19VRho1Lro85lW8Inw2Yjgs2DBgrJ//36pWbNmqutwOXt6EhERERERMPgkIiK3Vq1aNV36VPbr108N+sEQoxYtWqjQD4HgqlWrpE+fPjJkyBAxSq1ateSrr76y2/MSl9sLCPWq+Fy9erWYMZn+tddek4ULFybrp4qWAhgkhRMRERERERGDTyIicmvpbdN+FAg30V8SQ4xQCYmp6piujkrMoUOHquuN8vHHH0v9+vXVpHP0Es2fP79cu3ZN9RzdsGHDI1XAmnHsHtXgwYPV1n708ixWrJj1/l68eFEFogMHDjTldhERERERkXNhj08iInJrek8mx9fClneEnrly5VLVmPaG8Ojt5MmTMmrUKNm0aZN17UaNGsnw4cPl8ccfN2RNVLaaUfGpOX78uAp10ccU97dhw4aqbUFSUpLdXqtEREREROReGHwSEZFb0yv41DtAfRTos4lt9o4WFRWltvRjsBMgcJw+fbocPXpUatSoIZ06dXLo7YmLi5OZM2fKpEmTONWdiIiIiIiE5RBERERZeNs3vPnmm6as26FDB1m6dKn1/IABA9S2/qtXr8o777wjEyZMMGTdY8eOqSFSwcHBUrlyZTl8+LDq91m8eHGZO3euTJw40ZB1iYiIiIgoa2HFJxERuTUEZ4cOHcrSFZ/ZsmWTe/fuOXxd9NbEFnvc95iYGMmTJ4+sWLFCGjRoIAcPHlRVqLheb40bN5YiRYqofqrz58+XrVu3qq3uU6dOlbp16+q+HhERERERZU0MPomIyOUgGKtXr546YaJ5YGCg4WuipyS2fadVDYrrEhMTDZuuPm3atHSrTrt27ar7uiEhIRIZGan+vX37dmnbtq3qL2p0GJwzZ041zMjX11eio6NV8Hv58mUpUKCA7msREREREVHWxanuRETkcl566SXZsWOH6veIbddVqlRRlYAIQvERE9f1hnAVk8bNgCny6POZVvCJ0NWI4BMT1Xft2iW1a9eWlStXqsnyGgwc8vf3F6PuL0JP7bhjeBRDTyIiIiIiSokVn0RE5NIuXrwoO3fuVEEoTn/99ZeUKlVK9YnUk5lb3c1ae8mSJdKjRw81Nf73339XE+UxxR5mzZolv/zyiwpE9YbQs3v37tbz6OuZMthFBSwREREREbk3VnwSEZFLQy/IJ554QlUg4nT9+nXx8/NzqeFGZq2Nre0VK1ZUoWeFChXUtvfjx49L2bJlpUyZMoYNGRo2bFiy8xioRERERERElBIrPomIyOVg2A2qO9F38o8//lDBJ7ZjYxI4en6iQlJvly5dUiFrZpQoUULOnj2r29otWrSQ1atXZ+pz161bJ02bNtVtbVRWIoi8ffu2NYBFK4HRo0dL7969xQgXLlwQLy8vKVy4sDofFRUlY8eOlT///FOqV68uQ4YMEW9vvrdLREREROTuGHwSEZHLwaAhVB2+++670q1bN/Hx8RFnYtYUdr23xWOCe5cuXWTMmDHSqlUrNeUdPVVx+YgRI2T27NnqciOGV/Xr109at26tzmObO3qNogIVa7ds2VImTZqk+7pERERERJS1MPgkIiKXg16TWl9PVAGi4hPVnlrFZ3BwsKm3z8x+oHqGrqgcbd++vfTs2TPVdTNmzJCFCxfK+vXrRW958uRRVZ8YbIT7gvO7d+9WQ6xOnjypbtf58+d1X5eIiIiIiLIWBp9EROTSkpKS5PDhwyoERRiKbfCYAP7bb7+ZdptcZRASAkf09MyVK1eq67D1HX0+b926JXoLCQlR/URhw4YNquIzLCzMKSpqiYiIiIjIeXiafQOIiIiMdO3aNVUFeOLECRXS3bx5U6Kjo3nQdRAbG2s39IScOXNKXFycIce5XLlysmzZMvXvH3/8UZo0aWK9DlvtEXwSERERERGx8z8REbmcb7/91jrc6MqVK1K5cmWpW7euDB8+XH3MmzevqbfPVSbAJyYmqi3maX1NVNsaAdPi27RpI/7+/ipc3bZtm/U6BKF4jImIiIiIiLjVnYiIXM6zzz6rwq969epJrVq1JCgoyPA1sbV737590rx581TXrVmzRk0bRxWkVpWI7fZ6WbBggXTs2DFTn4thQ8uXL9dl3eLFi4uHh0e6n3Pu3DkxArbro5IX2+mxfV+Dyl5UfBYsWNCQdYmIiIiIKOtg8ElERC4tJiZGIiIiJDQ0VFUIGqV///5SqFAhGTRoUKrrJk+eLJcvX5bPPvvM5XqGEhEREREROSv2+CQiIpeEre6o+ET1X+HChdVHVIFi+7sRVq5cKW+++abd69544w1ZsWKFuOLWeSIiIiIiImfFik8iInI5W7ZskZYtW6rAEb0g8+XLJ9evX5clS5bIjBkz1FbvBg0a6LomglVMGvfy8rLbCxOTyI2aNB4QECDTpk1LNwDF5HMiIiIiIiJ3wuCTiIhcDio7e/ToIa+99lqq62bOnCnTp0+XXbt26bpm2bJlZc6cOVKzZs1U1+3Zs0cFj+hJaQQfHx812Tyt4BN9OFevXm3I2kRERERERM6KwScREbkc9Ly8efOm+Pn52e35mSdPHt2rL8ePHy9z586VhQsXSqVKlayXHzlyRA0eQvA5ePBgMQJ7fBIREREREaXmbecyIiKiLA2BJ7adY4t7Shh0ZC8Q/bcQap45c0aqVq0qxYoVk/z588u1a9fk4sWLqvJ04MCBYhT2+CQiIiIiIkqNFZ9ERORyXn/9dbl//7788MMP4u39v/f44uPjpXPnzhIUFKS2vBvh+PHjqsdoeHi45MqVSxo2bKi2wSclJYmnpzEzBVu0aMGt7ERERERERCkw+CQiIpeD0LFRo0bqY7NmzazVl2vXrlVh5KZNm9RHR4iLi1Mh66RJk1RFqBGioqJUH08EuoCQFX1Mjx49KjVq1JBOnToZsi4REREREZEzM6b0hIiIyEQINfft2yfDhw+X6Oho9W9UgOL83r17DQk9jx07JnXq1JHg4GCpXLmyHD58WPX7LF68uOr9OXHiRDFKhw4dZOnSpdbzAwYMkKFDh8rVq1flnXfekQkTJhi2NhERERERkbNixScREbkVVGAinMRHPTVu3FiKFCki7du3l/nz58vWrVtVwDp16lQ1Zd5IqGjFxHgMOdKGN61YsUIaNGggBw8eVMOVjJooT0RERERE5KwYfBIRkVuJjY2VgIAAtR1cTzlz5lTb6X19fVWVabZs2eTy5ctSoEABMVpISIga5gTbt2+Xtm3byq1bt6zXc+o7ERERERG5I251JyIit4N+mHpLSEhQoScEBgZKjhw5HBJ6AqbI79q1S/175cqVUr9+fet16HPq7+/vkNtBRERERETkTP436paIiIj+MWwx79Wrl/U8qj5tz8O0adMMOcIjR46UF154QR5//HH5/fff1fAmzfLly6V69eqGrEtEREREROTMuNWdiIhcTunSpdOs6sQW93PnzkliYqKua44aNSrDzxkxYoQY5fTp0yr0rFChgtr2HhoaKmXLllWVoNgKX758ecPWJiIiIiIickas+CQiIpczffp0h6/ZvXt38fLyksKFC6vzUVFRMnbsWPnzzz9VxeWQIUMMXR9VnsOGDZPbt2+LxWJRl+XOnVtGjx4tvXv3NnRtIiIiIiIiZ8Tgk4iIXA6mmIeFhVnPv/feezJ58mRD1+zRo4f069fPGnz26dNHVVti0NC8efPkzp07MmnSJEPWxgT3QYMGyZgxY6RVq1ZqyvvVq1fV5e+//74ULFhQXU5EREREROROuNWdiIhcDiaq37t3L9nEdVRCGilPnjxy4cIFNdgIa+P87t27pUqVKnLy5Elp2rSpnD9/3pC18bXbt28vPXv2THXdjBkzZOHChbJ+/XpD1iYiIiIiInJWnOpOREQuJ2V/T23rt5Hi4+NV6Al79+5VYStCTyhTpoyarm4U9PZEZak9uBzXExERERERuRtudSciIpeDwUWottQCTww0sj0PtWvX1nXNcuXKybJly6R169by448/SpMmTazXYds5qlCNEhsbK7ly5bJ7HQLYuLg4w9YmIiIiIiJyVgw+iYjI5WCb+auvvpos/LM9j4rQs2fP6rrmxIkTpU2bNuLv76+Cxm3btlmvQxBat25dcVTQmxKCXyIiIiIiInfDHp9EREQ6uXv3rurnia3t2bNnt15+4sQJVfGJIUNGKF68eKrt/SmdO3fOkLWJiIiIiIicFYNPIiIiIiIiIiIicjkcbkREREREREREREQuh8EnERERERERERERuRwGn0RERERERERERORyGHwSERERERERERGRy2HwSURERERERERERC6HwScRERERERERERG5HAafRERERERERERE5HIYfBIREREREREREZHLYfBJRERERERERERELofBJxEREREREREREYmr+X/5DOlXbsQJTgAAAABJRU5ErkJggg==",
      "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": "6e30cab8",
   "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": "7e9d9329",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "materialized 17,129,715 rows | trained on 120,000 (stratified subsample) | held-out 4,282,429\n",
      "MAJORITY-CLASS BASELINE accuracy = 0.8816  (any model must beat THIS, not 0.5, to be interesting)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "best model: LightGBM\n"
     ]
    },
    {
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       "    }\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>LightGBM</td>\n",
       "      <td>0.994956</td>\n",
       "      <td>0.988914</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>XGBoost</td>\n",
       "      <td>0.994931</td>\n",
       "      <td>0.988592</td>\n",
       "      <td>1.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>RandomForest</td>\n",
       "      <td>0.995050</td>\n",
       "      <td>0.982668</td>\n",
       "      <td>3.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>LogisticRegression</td>\n",
       "      <td>0.979607</td>\n",
       "      <td>0.973292</td>\n",
       "      <td>1.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MajorityBaseline</td>\n",
       "      <td>0.881600</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            LightGBM  0.994956  0.988914      2.5\n",
       "1             XGBoost  0.994931  0.988592      1.7\n",
       "2        RandomForest  0.995050  0.982668      3.3\n",
       "3  LogisticRegression  0.979607  0.973292      1.3\n",
       "4    MajorityBaseline  0.881600  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": "539dafbe",
   "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": "b834fa13",
   "metadata": {},
   "outputs": [
    {
     "data": {
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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 = 0.0002  (665 benign flagged of 3,775,421)\n",
      "worst per-family recalls: {'Infilteration': 0.276, 'Brute Force -Web': 0.904, 'Brute Force -XSS': 0.949, 'SQL Injection': 0.982, 'DDOS attack-LOIC-UDP': 0.998, 'SSH-Bruteforce': 0.999}\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": "54e15f4b",
   "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": "c136eda8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "best single-feature AUC = 0.9217  (feature: DURATION_IN)\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) = 0.000\n",
      "TRAIN/TEST exact-row contamination       = 0.000  (single-feat grade B, contam grade A)\n",
      "==> data trust grade: B   (worse of the two; F = shortcut and/or heavy contamination)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "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": "57bcc5ee",
   "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": "6a46a813",
   "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>0.988914</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>de-duplicated (0% rows removed)</td>\n",
       "      <td>0.988722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>shortcut feature dropped (DURATION_IN)</td>\n",
       "      <td>0.988970</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                  setting  held_out_auc\n",
       "0                        headline (as-is)      0.988914\n",
       "1         de-duplicated (0% rows removed)      0.988722\n",
       "2  shortcut feature dropped (DURATION_IN)      0.988970"
      ]
     },
     "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": "eb20f4d3",
   "metadata": {},
   "source": [
    "## 12. Reproducibility & robustness"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "21c3ec0b",
   "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": [
      "LightGBM 3-fold CV ROC-AUC = 0.9883 +/- 0.0017  (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": "9191af9c",
   "metadata": {},
   "source": [
    "## 13. Scientific conclusion\n",
    "\n",
    "On the standardized NetFlow features the learners score high, but **not uniformly**. On some of these corpora a learner (the linear model, or LightGBM) lands well below the others or even below the majority-accuracy baseline. So read the comparison table above rather than generalising from the best row. The audit plus ablation printed below locate *why*: read the single-feature AUC together with the drop-the-top-feature ablation. On these NF-v2 sets the score typically **survives** dropping the strongest feature (the ablation AUC barely moves). So the separability is **multi-feature** \u2014 a property of how the flows were generated \u2014 not a one-header-field shortcut. Because the schema was built for cross-dataset use, the honest next step is train-on-one / test-on-another. That is a test **we did not run here**, so we make no transfer claim. Notebook 36 runs that test on four NetFlow-standardized corpora and prints the transfer matrix. A single in-distribution score cannot answer it.\n",
    "\n",
    "**Validity ledger \u2014 read the headline against these printed numbers:** Majority-class baseline **accuracy**: **0.8816**. The accuracy column must clear that bar to mean anything. For ROC-AUC the trivial baseline is 0.5, not that figure. Winning learner: **LightGBM** (3-fold CV ROC-AUC **0.9883**). Strongest *single* feature: `DURATION_IN` at AUC **0.9217**. The ablation refutes a single-feature story. Dropping that feature barely moves the AUC: **0.988914 \u2192 0.988970**. So the separability is **multi-feature**. That reflects how this corpus was generated, not one leaky column. De-duplication changed nothing. There are no exact duplicates to remove. The 0.000192 difference is re-split noise, not a de-duplication effect. Data-trust grade: **B**. It is the worse of two independent sub-checks. Single-feature AUC 0.9217 scores **B**. Train/test exact-row overlap 0.000 scores **A**. The single-feature check drives the grade, not the overlap check. Train/test overlap separately scores A, so overlap is not the issue here. Operational false-positive rate at threshold 0.5: **0.0002**. Worst per-group recalls, exactly as printed: {`Infilteration`: 0.276, `Brute Force -Web`: 0.904, `Brute Force -XSS`: 0.949, `SQL Injection`: 0.982, `DDOS attack-LOIC-UDP`: 0.998, `SSH-Bruteforce`: 0.999}. The weakest group sits at **0.276**, so the model misses most of it. That gap, not the aggregate score, is the operationally important result. **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": "cce310b1",
   "metadata": {},
   "source": [
    "## References\n",
    "\n",
    "1. Sarhan, M., Layeghy, S. & Portmann, M. (2022). Towards a Standard Feature Set for Network Intrusion Detection System Datasets. *Mobile Networks and Applications* (arXiv:2101.11315, preprint posted 2021). **Defines the NF-*-v2 43-feature datasets used here.**\n",
    "2. Sarhan, M., Layeghy, S., Moustafa, N. & Portmann, M. (2021). NetFlow Datasets for Machine Learning-Based Network Intrusion Detection Systems. *Big Data Technologies and Applications (BDTA 2020)*, LNICST 371, Springer, 117-135 (the earlier 8-feature v1 datasets; conference 2020, proceedings 2021).\n",
    "3. Koroniotis, N. et al. (2019). Towards the development of a realistic botnet dataset (Bot-IoT). *Future Generation Computer Systems*.\n",
    "4. Moustafa, N. & Slay, J. (2015). UNSW-NB15: A Comprehensive Data Set for Network Intrusion Detection Systems (UNSW-NB15 Network Data Set). *2015 Military Communications and Information Systems Conference (MilCIS)*, Canberra, IEEE, pp. 1\u20136 (the UNSW-NB15 origin cited in section 2).\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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