{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "1734eed7",
   "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 a detector on the merged NF-UQ-NIDS-v2 superset, with the source-corpus column removed.\n",
    "\n",
    "### What you will learn\n",
    "\n",
    "1. Read a majority-class baseline before trusting any accuracy figure.\n",
    "2. Find the strongest single feature, then test it by dropping it and refitting.\n",
    "3. Tell duplicate inflation apart from genuine signal.\n",
    "4. Report per-group recall, because the rare classes carry the risk.\n",
    "5. Remove a column that identifies the capture rather than the traffic.\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 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": "c7b7bb4d",
   "metadata": {},
   "source": [
    "# Cross-Dataset Intrusion Detection on NF-UQ-NIDS-v2 (Merged NetFlow Superset)\n",
    "### Model comparison + validity audit on the merged NetFlow superset (4M-flow stratified sample of 62.7M)\n",
    "\n",
    "**Abstract:** NF-UQ-NIDS-v2 (Sarhan et al., 2022) is the **merged superset** of the standardized NetFlow v2 intrusion datasets. UNSW-NB15, Bot-IoT, ToN-IoT and CSE-CIC-IDS2018 are all re-expressed on one standard NetFlow v2 schema. The canonical NF-UQ-NIDS-v2 merge is ~76M flows, per the UQ dataset page's published record counts. The cleaned Kaggle asset used here holds **62.7M**. The difference is upstream de-duplication and cleaning, not something this notebook does. Notebooks 11\u201313 and 20 studied those pieces individually. Here the research question is different. Can one model handle the **heterogeneous union**? Does a high score survive when the source-dataset identifier is removed? We take a stratified 4M-flow sample, compare four learners, and audit the result."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "be18da53",
   "metadata": {},
   "source": [
    "## 1. Research problem\n",
    "\n",
    "**Task:** Classify standardized NetFlow v2 records as benign or attack across a mix of four source environments. Because the union pools very different attack distributions, it is a stress test of whether NetFlow features generalize. But it also introduces a `Dataset` column naming the source. We must drop that column so the model cannot cheat by identifying the capture instead of the behaviour."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cf0dc0fa",
   "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). 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). Enables cross-dataset comparison.\n",
    "- **Sarhan, Layeghy, Moustafa & Portmann (2021)** \u2014 *NetFlow Datasets for ML-Based NIDS* (BDTA 2020 conference; proceedings 2021). 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": "4623d402",
   "metadata": {},
   "source": [
    "## 3. Dataset provenance & honesty caveats\n",
    "\n",
    "| Property | Value |\n",
    "|---|---|\n",
    "| Source | Kaggle `dhoogla/nfuqnidsv2` (cleaned parquet) |\n",
    "| Rows | 62.7M flows; **stratified 4M sample** used here (\u22651M floor) |\n",
    "| Label | `Label` 0/1; family `Attack` (Benign/DDoS/DoS/scanning/xss/\u2026) |\n",
    "| Access | Kaggle API token required |\n",
    "\n",
    "**Not a repeat of nb11/12/13/20:** Those model each NetFlow dataset *separately*. This is their *union*. The distinct question is therefore cross-environment generalization on a shared schema (the purpose NF-UQ-NIDS was built for). **Honestly:** the `Dataset` source-identifier column is dropped as a capture-identity shortcut, and NetFlow header fields (ports/protocol) can still 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/nfuqnidsv2` -> `/tmp/kg_nfuqnidsv2`. It is about **2 GB** on disk.\n",
    "\n",
    "**One-time setup.** Sign in at kaggle.com, open **Settings**, and under **API** choose **Create New Token**. Kaggle hands you a `kaggle.json` file. This notebook does *not* read that file. It reads a plain key file, so convert it once:\n",
    "\n",
    "```bash\n",
    "mkdir -p ~/.kaggle\n",
    "python3 -c \"import json;print(json.load(open('kaggle.json'))['key'],end='')\" > ~/.kaggle/access_token\n",
    "chmod 600 ~/.kaggle/access_token\n",
    "```\n",
    "\n",
    "Never paste the token into a cell, a commit, or a screenshot. If it leaks, revoke it from the same Settings page.\n",
    "\n",
    "**If the loader fails:**\n",
    "\n",
    "- `FileNotFoundError: ~/.kaggle/access_token` - you created `kaggle.json` but not the key file. Run the command above.\n",
    "- `401 Unauthorized` - the key is wrong, or a trailing newline crept in.\n",
    "- `403 Forbidden` - open the dataset page on Kaggle while signed in, accept its terms, then re-run the cell.\n",
    "\n",
    "The cache sits under `/tmp`, which macOS clears on reboot. To keep it, move the folder somewhere durable and symlink it back. Do **not** edit the path in the code cell below: that changes a code cell and invalidates the stored outputs you are reviewing."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e4f1a692",
   "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": "f761fac9",
   "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": "ec7b24bb",
   "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": "f05a2194",
   "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": "ddbcde42",
   "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": "96b68ada",
   "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": "dcec8aa0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "loaded 4,000,000 flows x 41 features (4M stratified sample of 62.7M); attack rate 0.6690; families 21\n"
     ]
    }
   ],
   "source": [
    "import os, glob\n",
    "# NF-UQ-NIDS-v2 (Sarhan et al., 2022): the MERGED superset \u2014 every NF-*-v2 dataset concatenated on\n",
    "# the standard NetFlow v2 schema (62.7M flows). The published schema lists 43 fields; this cleaned\n",
    "# Kaggle asset omits the IP-address columns, and we additionally drop Label/Attack/Dataset, leaving\n",
    "# 41 predictors (the exact count is printed at load time). Self-contained Kaggle download.\n",
    "os.environ.setdefault('KAGGLE_KEY', open(os.path.expanduser('~/.kaggle/access_token')).read().strip())\n",
    "DEST = '/tmp/kg_nfuqnidsv2'; os.makedirs(DEST, exist_ok=True)\n",
    "if not glob.glob(DEST + '/**/*.parquet', recursive=True):\n",
    "    import kaggle; kaggle.api.authenticate()\n",
    "    print('downloading NF-UQ-NIDS-v2 (merged NetFlow superset, one-time)...')\n",
    "    kaggle.api.dataset_download_files('dhoogla/nfuqnidsv2', path=DEST, unzip=True, quiet=True)\n",
    "f = sorted(glob.glob(DEST + '/**/*.parquet', recursive=True), key=os.path.getsize, reverse=True)[0]\n",
    "raw = pd.read_parquet(f); raw.columns = [str(c).strip() for c in raw.columns]\n",
    "# 62.7M flows is far more than needed; take a stratified 4M sample (>> floor) so drop_duplicates /\n",
    "# ablation stay tractable. The label ratio is preserved by the stratified draw.\n",
    "from sklearn.model_selection import train_test_split as _tts\n",
    "if len(raw) > 4_000_000:\n",
    "    raw, _ = _tts(raw, train_size=4_000_000, random_state=0, stratify=raw['Label'])\n",
    "df = raw.reset_index(drop=True)\n",
    "assert len(df) >= 1_000_000, f'floor not met: {len(df):,}'\n",
    "df['y'] = df['Label'].astype(int)\n",
    "df['family'] = df['Attack'].astype(str).str.strip()\n",
    "# DROP the `Dataset` column: it names which source capture each flow came from, which is a pure\n",
    "# capture-identity shortcut (attack presence correlates with source dataset). Also drop labels.\n",
    "DROP = ['Label', 'Attack', 'Dataset', 'y', 'family']\n",
    "feat = [c for c in df.columns if c not in DROP]\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "X = df[feat].copy()\n",
    "idlike = [c for c in X.select_dtypes(include='object').columns if X[c].nunique() > 0.5*len(X)]\n",
    "X = X.drop(columns=idlike)                                     # drop id/timestamp-like leaky columns\n",
    "for c in X.select_dtypes(include='object').columns:\n",
    "    X[c] = LabelEncoder().fit_transform(X[c].astype(str))\n",
    "X = X.apply(pd.to_numeric, errors='coerce').replace([np.inf,-np.inf],np.nan).fillna(0.0)\n",
    "X = X.clip(-1e15, 1e15); X = X.loc[:, X.nunique() > 1]         # float32-safe; drop constants\n",
    "import re\n",
    "_seen, _cols = {}, []\n",
    "for _c in X.columns:                                           # unique LightGBM-safe names\n",
    "    _c = re.sub(r'[^0-9A-Za-z_]+', '_', str(_c)).strip('_') or 'f'\n",
    "    _seen[_c] = _seen.get(_c, -1) + 1\n",
    "    _cols.append(_c if _seen[_c] == 0 else f'{_c}_{_seen[_c]}')\n",
    "X.columns = _cols; feat = list(X.columns)\n",
    "y = df['y'].to_numpy(); family = df['family'].to_numpy()\n",
    "print(f'loaded {len(df):,} flows x {len(feat)} features (4M stratified sample of 62.7M); attack rate {y.mean():.4f}; families {len(set(family))}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "252f48c3",
   "metadata": {},
   "source": [
    "## 7. Exploratory data analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "a94f59eb",
   "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": "8ff86e1f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1440x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# --- EDA 2: feature correlation + a 2-D PCA projection ---\n",
    "from sklearn.preprocessing import StandardScaler                 # scale before PCA\n",
    "from sklearn.decomposition import PCA\n",
    "fig, ax = plt.subplots(1, 2, figsize=(12, 5))\n",
    "topv = X[feat].var().sort_values().tail(12).index                # 12 highest-variance features\n",
    "im = ax[0].imshow(X[topv].corr(), cmap='coolwarm', vmin=-1, vmax=1)  # correlation heatmap\n",
    "ax[0].set_xticks(range(len(topv))); ax[0].set_xticklabels(topv, rotation=90, fontsize=7)\n",
    "ax[0].set_yticks(range(len(topv))); ax[0].set_yticklabels(topv, fontsize=7)\n",
    "ax[0].set_title('Feature correlation (top-variance)'); fig.colorbar(im, ax=ax[0], shrink=0.7)\n",
    "samp = X.sample(min(5000, len(X)), random_state=RANDOM_STATE)     # subsample for a fast PCA\n",
    "pc = PCA(n_components=2).fit_transform(StandardScaler().fit_transform(samp))\n",
    "ys = y[samp.index]                                               # aligned labels for coloring\n",
    "for lab,c in [(0,'#2a9d8f'),(1,'#e76f51')]:\n",
    "    ax[1].scatter(pc[ys==lab,0], pc[ys==lab,1], s=4, alpha=0.4, color=c,\n",
    "                  label={0:NEG_WORD,1:POS_WORD}[lab])\n",
    "ax[1].set_title('PCA projection (2 components)'); ax[1].legend(); ax[1].set_xlabel('PC1'); ax[1].set_ylabel('PC2')\n",
    "plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c8c5b919",
   "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": "394c9faf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "materialized 4,000,000 rows | trained on 120,000 (stratified subsample) | held-out 1,000,000\n",
      "MAJORITY-CLASS BASELINE accuracy = 0.6690  (any model must beat THIS, not 0.5, to be interesting)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "best model: XGBoost\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>model</th>\n",
       "      <th>accuracy</th>\n",
       "      <th>roc_auc</th>\n",
       "      <th>train_s</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>XGBoost</td>\n",
       "      <td>0.987315</td>\n",
       "      <td>0.998721</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>LightGBM</td>\n",
       "      <td>0.985003</td>\n",
       "      <td>0.998564</td>\n",
       "      <td>1.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>RandomForest</td>\n",
       "      <td>0.988492</td>\n",
       "      <td>0.998157</td>\n",
       "      <td>1.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>LogisticRegression</td>\n",
       "      <td>0.878155</td>\n",
       "      <td>0.960174</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MajorityBaseline</td>\n",
       "      <td>0.669000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                model  accuracy   roc_auc  train_s\n",
       "0             XGBoost  0.987315  0.998721      0.6\n",
       "1            LightGBM  0.985003  0.998564      1.4\n",
       "2        RandomForest  0.988492  0.998157      1.2\n",
       "3  LogisticRegression  0.878155  0.960174      0.6\n",
       "4    MajorityBaseline  0.669000  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": "89cdf7a6",
   "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": "f2a01c0e",
   "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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mFDVv3rxo5ZVXTvvdmPxbvsQSSxS99tprFRqPZpNtjMvvqD59+sTHvPDCC1l/dzDOYKyQ+OGHH4qWW265eHzLL798ifHSOuusk/X3cmnjrtQxCmM6rttzzz1LHG9y/9GjR5frfKy//volxgQV+WzKM57h/Webd7zxxhtFSy65ZNHOO++cdn0yzuW85/s7PJt999033v+VV14pcdsTTzxRYhz96KOPFs8hMudCe+yxR7zus88+K76uf//+8Tr+/O+//4qvf++99+L4mc8+9VhTx42MEzOdcMIJJcZ2ie+//z5tHFXWmLY0fI+5ZCrrvPM9+Oijj0o8jvFZixYtin777bcSt2V+13K9dub7Km0elu395Br/c96YE/Fzmjn//N///he/fxtuuGHa9cnnnzmG5HPJNe7PBz9nDz/8cNEBBxwQX5fn4U/+/uCDD6bNAfOxySab5Px+o127dvH21H+XSpO8t8xL+/bti956662cj+M8cb9rrrmmXMevymWwQJJUIcnCGpdHHnkk630YzCf3mT9/fonbGZAmAYDkMmnSpKyTkWwXBpMs8GZOKg477LB4+6hRo0q85uzZs+NCLcGOxG233Rbvz0JkJgZaBEO4/dNPP00LFjCxKUs+wQImD++8807RX3/9Vebz5fOcq6++epxM85yZbrzxxvjYgw8+uMRgfumll846+UoG9WPHjs3r+EqbtJ5xxhkl7n/OOefE2w466KASt/Ga2V47GchnBndSv5v9+vWr8Hci9TWYfGazIBMrJteZr5d8rgRAMvHdIGiz8cYbpy3y85k1atQoTr5Lw4SQnxcm59kmDyxQ8J3Ze++904IFLFgwMVoQzzzzTHxfV1999QIFC/j3hM+pWbNmWYM3qT7//PP4+FVXXTXrz1Xv3r3j7bfcckvxdR06dIjnmHORiXPNxHDTTTfNepwGCySpciRjvGRceNppp8XFbYK8XD9o0KC0hbbMJIfMBaeHHnqoxO/tbMkeCxIsyOXVV1+Nj2Gck+13B2OyTIzPuO3MM88scdvZZ58db8tcgM83WJAsCPK7LjVxgt9xq6yyStFSSy2VFkTP53xkW4gu72dTnvFMWQg2EKRI/d1fWcGCLbfcMt4/2zEyz2nYsGHaQvHgwYPjuU4SVpIxKGMyFpzXWGONtGQjxlyNGzeOiS+ZGD9nfpeScSPjl2ySYAFJKmWpjmBB5uJ5gvEqc69sCTf5vvaCKG38n3x3c41p+beF25NAQjIeZcyfmqiT+XNUnmDB888/HxN/VlhhhfhYkudIfBo/fnzWAEu++D7yfO+//37W2zt27Bhv5/ucD75/JOgQ4OHfFYKVe+21V3wOgqGpgdJUEyZMiPchOVDVxzZEkqRyo18qPcMTlIRmK1ksC6XXSY/MBOWvSaudVJR0JqXglH1SlkzpKaWqlIPyXJSAJ6XPoHw0E/1kaTFCixLKxCmJLO3+tByh9JLXe/3118Oqq64a2/9QZk4JNI+ldJaSScpKkxLa8qB/bGX55ZdfYmkrx5dtU7HkPfJeMlEySw/4TJx32h7xGD6fBZGttD3ZLJDS1ExJm55sPf75bGjvk+14M99jeb8TCdr00Eu1Ipi/U0ZL6wJa1dBCh/YBicyWR6WdI8rEaa/Dc6T2S+V4KTEva8NF9k+glJoS/lwbhtEvNrWv6YEHHhhOPPHE2EuZ1gV87/me0z+2PGgfQAl8tp/r8qD8nN7P/DyW1dIs+exp3cC5y8T3gBZX3I9+wbQK4DOi1VJS0p6Jkut8+75KkhZMMj7k9wdtTfj3nL7v7A2QtF4BrYGytRdJetzz73ZmKyL2AUjFGI/f1ZnybVtCe5FLL700PPzww7EPe2bf+jlz5lT5mChftBBM2onShhEcN8951FFHxZY+5ZF5Livy2ZRnPJOg3QutHmndSNsd2q6k4jr2W6pMyR5atHTKxHiRMSnzFe5HCxjautBOiBY0jOFoPUSbTcaktGdJbe9J+8ykzSktqLKNWxi/ZRu/Z/sMwPNfccUVcfxFi1Rad/L8lTnvWBC5jpvxJ21LGX/ShojxJ+cwdXxe1XKN/5PvNmPGbN9txtvJd5vjTz4vWkRlmyMyZ6H9U764bzLP4d8IvhN8ttm+M9WNdm+Z/96xZsDx0gp0+PDhsRVtpuS9lGefCVU+gwWSpHI7+eST48CeXpMMWphwMBDN7EfOL3sW6ljcp284ffxTMchKBlrZ+qfmwnOy6EnvVgZr9Luktz49yZH0ns01SeB6+sAzUGfgmc/9wf1B30p6kNL/kt6o9IAHC41Mws4444ysC5QLQ3nfS6qk13umZNPq0nr65ivbQD/Zp6K025JN2FJxvrMNvLMdb3m/Ewl675a1wVsubIrGwjPPTb9eJvnJhnhJ7+NscvV65VykBhuSzzDbvge5JrhM0DMDdKl+/fXXtOPnHNPXlk0aeS+cCyZtLIrk29OYYAGT5XyOszTleb/l/TkgCENwh43dSjs/kqSFo6zNLZPfayw+lSb191rmOCE1WJDt3/58ggX8HuF3HAkHLH4SgGb8y+9sbmOxlh7fVT0myhfBfxIB2FMs2WuBPYqQrR9+WTLPZUU+m/L8fgfnlB71LNozdyCRh37qjFGSvYRynfMFkYzh/vjjjxIbHCf7DxAgIGDA/7NQnARkWOxnrsP3Ott+BQsyfs/2GYDvI3Ok888/P+7nkOydwZ5PzGGSeVN1yXXcLCAzZ2R/DRKzuPDdJ7DEAjR7BFS1XOP/5Lud7MlX1nc7+VzLmmPli3E5ATXm1TNnzowJc/wcsN9Htu9keST/5uSa7yXXL+jeXEceeWQMFrD3SDbJJu4L+n60YAwWSJLKhU1gWaRnE1yqC1h8ZNHw8MMPj4MWBjHFv2Tq149ZQmwOzMA4M1hQGXh+NjJ76aWXige9yWCHzZSyZc+wSVbq/VLvn03m/UEm+k033RQH/WxExuSA88Kmz2Q/n3vuuaE6VOS9JObNm5f1MclzLcyMnnyQccLieWbAINvxlvc7kahooICNgFlgZ2MuNgPLrNi44447woJKBuu5MhZTJe+rZ8+ecQO2fLHowYXJKe+DhX+CgwQ/CBiWVWXAhswsoFRkAaIy3m++PwfJnxtuuGFxFYokqeZK/t2+//774+at5ZH5u51M3bKCE7nceOON8fdctg1UyUJmYbsmYQGuX79+cUGWMX27du3ixsaMpyuyKXC2cVJ5P5vy/H6ngoDzzCIrv68zF9eTzO+qkGzezIJxtuqCpHqVoABBGOYDSUCA2xj7EchgTsR5Y4Pmyhi/lzZWJSP/wQcfjMGTV199NS4uk7XPBtKM4ag2qC65jptxPcEgLoynmUdOmDAhBp/Y9JZLvhvsVvaxJeefzzGfyuPk/mXNsfLFzyubkTPvpHqZMT1jcyqCSNxjLkwArSJJawSRqNShOiKzsomfO/6dY26/oPP5ZO6QWYGVGZBJft5UPf5fvwZJkvJAG5ODDz44DkBo4cFAjcVQFsYZBFG+nOmwww6Lf5IJQnltZUvasjAgT7DgB1oTZaJFD6XWbdq0KZ6clHZ/Bkdk5SRterINJhm4DRgwIEydOjVeR1ZTIlnITs0IX1ClPSeL0iyGM+FKyrxTke2U670w6aKNUabkvCTnqabgs2EBO5/jLe93YkE/B9oQ8J3ccccdSwQKeC1uX1C0meJ433rrrZhhlM99qYipSEYijyWji0wqFhn4tyBXRlAqJjBJkGJBkSHH5JvXzTXByPy8mWBmtibI9nPAJIufYyagvDdJUs22xRZbxD+TMVp1YQyBPffcs8Rt5WkvsjAxXmf8OmrUqJj4wjimMoL6Ff1syjOeIVGEBAZa/mQGCsjmrsqAf7I4TLJENlSYUH1MMIDFXAIzLNYjCRrQ8okkJ54rNcGKhVqqI1iEzlY9UNr4PR/M2ThnJDWRzJIEc6pyvlIZWDDu1atXuOuuu2LA5cMPP4zJaanHvTCPubzf7dTxaLbjzDYvKQtjYYI8VF4w/6a6nnPDOdp1113jzwXZ+/z7kzo/LksS7CKglImxN/N4vkMLGqhhLoJcQYfk54v2vqo+BgskSXlj4MEgnv6IqdkUlDPTS5YSV4IIqegtywCZXpy0KcrVZzXbwLgslI0nWdJJ/0bQixUcJ21FEgzSTjrppDhwou9tgkwMSsbJ+EkGMAlar5BJwaCMMmewoJgtQyS5jsF+gp6loMVNLgx8GRjlu4hb1nPy/smQGzx4cNrAlAlWUvGQnKPM8lImEanIMCFzhcyYyljwrWxDhgxJKzVnoTfpyU9gq6LfiQX9HFq3bp11csBEliqcbAvY5cUEibZXlOvys5lZcv/XX38Vv1cygQhokZl23HHHFZf4puI2qmRSJ6bZMi3J8sr8npcWLKBnK/tCLCgykWifwHEmn1kqzm1SIk3lD5lVyd4mqV588cUwfvz4mBWY+p2m7RLnjO9Ktn+PCExadSBJNcPuu+8ekyOo6mQBNhuyzKsiUSXb7/vMRT9a0Fx44YWhJqKVJ2NzMs7p+89CPb9fq+uzKc94hsVjxh9kyae2mGIMTXvUquxznsw1MucKCd4H+yoRQCILnj71ycIqCSl8V6g04X1n7qHFPlb06idp58wzzywxT2CBn2Stgw46KO/jJaEm23ivovOVhYHPnmBKJj7fJJkj87j5bmR7n6AKhcBYvvuPlIW5BT8vtC2jqj0TY9PUfwuS8ShzyauvvjrtvgRrFjSgyN4K7OvAczE+5ueZcTetxfi+Mndl3poP9hIggEUVB/O/BG23aLGLzMRAvsvMYTO/NwT+ss1ruZ79BpHsP5OJn6/kZ0nVxzZEkqS80OeSgS+/uAkOZGY4sAEuAQQWJBmcMDgCv+xZ0KeVCQMZsgjoeU5FAoM9BngMYhjQMlCmDDoberwngy8GH/R7J4OfDGOCEKmbp5L1wL4Kl1xySXwdBj9siEqZNdkoDN5ZSE+QVUxrlb333jseG38yuGIiQok2pc5kXyWoIODxZAuxCMrEhSAI749zkfrcZArRg5WBF4P8Vq1axUErg33+H0zYeD8MJJNJZ2nKek4WUnmvHA8l5WSEM5jj82Ohl3PDOcjEZ0s5PYupbIDGoJNsFQa+vH+ypWoSMmeYVPAZU+bO94KAFcfNpDN1kFne70Q+KB/n8yZgwXMkJekMqPnOMPHmMyIzhgoDFrL57jCw5zpa9Cwo2h7weT3wwAPxu0jPUioZKFHmu8veAlQCgMknGWtMJLg/E1W+R3wnqEJhckZfWyYZYCGdnw2yqPheEjggk4qNhilPLqt0ncny//73v+JJQWVgosW55j3w7wHtkPh3g58d9g5hD5FkMs99+B7zuXIuaJfGeeHngM+NjKzUqg+CBPzMs0cDixw8N/8OMDnl+cmqYpLI80qSqhfjH8aX/FtNNi2/5/ndytiSf+v5XUUVH2OCfILbFcX4lt+1tEwhyM5CPL9TWYgnI5pxVE3EOIl2OSwcM3avzP7gFfls8h3P8PubpAf62NMSlcAEwQTOPb+vGZslWfiVjXETC8WMN5LElExJEIaxVeqeBMltVHIk/5+J98Q4i7EO54j3QvCDjHGCCFxP0CFfjHmpcCChi8cxpmPOxdiXMSubLeczpl2YWPRnTM6+BIw1mdewWM34mU2DGe+vs846xffnPHKudt555zjuJzjD3CfZRy9JLEn2+1hQBCeYazBGZnzM61OZyjyM7ypBMNrocMwJgmbMGfk3gu8yx8cYmYQajpPvfGUg8Y0KIS4s3pPsxSU1Sao0zPOoIGaOxFiaeQzPydiapD+uT92UGwRM+O4wf04NkowYMSK+L757LVu2jJ8LQQWqFkiiInEq254ZzJV4Ts5rTWt/W3CKJEkqw6efflq09NJLFzVp0qTok08+yXm/G264gTTkoq5duxb9999/JW5//PHHiw466KCi1VZbrWiJJZYoWmyxxYpWXHHFou22267o/PPPL/r8889LPGbbbbeNz5l6qVevXtEyyyxTtNVWWxWNGjWq6J9//sl6PHfccUdRp06diho3blzUoEGDonXXXbfovPPOK5o/f37W+7/00ktFe+yxR9Hyyy8fj61ly5ZFRx55ZNGcOXPS7vf2228XDRo0qGjjjTeO91188cWLWrVqVbTnnnsWPffcc1mfd/vtt4/nj2PnPTz11FPFt/NYrvv4449zntvyPifvkXParl27ooYNG8ZzwLkYP358iefidXl8375943vr0aNHPL+NGjUq6tixY9Gjjz5aVB48F59bqqFDh5Y4xsSYMWPibfyZiftzG49PxTnj8uOPPxYdffTRRc2bN4+fw9prr110xRVXZP3+lfc7kbxGaW699dai9u3bx3OcfD8Tv/32W9Fpp50Wv++81iqrrBKP9dtvvy3+XufzXss6nr///rvoqquuKtp0002LllxyyfiztfrqqxcdfvjhRe+//37afTkv48aNi9+dpk2bxu85545zwvfls88+K77vddddF38e2rRpE78L3L9Dhw5FF198cdHPP/9cVJZLLrkkvp9XX321qLz4LuYapv7666/xM1t//fXjcfFZrrPOOkXHH3980bx589Lu+8UXX8Sf4VVXXTW+1+WWW65o9913jz8/uTzwwANFu+66a9EKK6wQH7PSSivFc3v66acXvfPOO1mPM9vPbvJ5ZvteS5Kyy/xdWhb+3T/llFPieIffCfwe5HcgYzJ+R/M7Mp+xSFmy/d5OzJo1q6h79+7x9wa/gzfaaKM4Jk4dX+X7u6Mi46XyjrvA2JkxLPeZOXNmUWWej4p8NuUZz3C/yy67LP7uZ/zF7+nevXvHOUq2c1uRzyGXgQMHxscwXs7mrbfeKv4OZ441GINzff369XOOo3744Yeik08+Ob5vxrXMv7p06VI0ZcqUEvcta9zIY/r16xfPE/MFzueaa65ZNGDAgKzzudLGtKXJNT6tyHn/66+/4jhz5513jvMwxs98TzfffPM4Lv3zzz9LjAkZ57Vo0aJo0UUXLfF6jGMXWWSRotmzZ+f1Xkp7P5nv7ZhjjomfE8e41FJLFa211lrxezhp0qQS9+f7y/eez5PPYYsttih68MEHS50DVZZc8+Rcnn322aJddtklzgX5Lqy33npFI0aMyPo8yXcw898fzkHPnj3jHIhzw3h65ZVXLtptt92K7r///pyvzbye58t2DrVw1eM/1R2wkCRJ1YdWLWQc9e3bN1Zw1AZJBQbHrpqJTELallXkMyJ7kGql2jxMJcOKbCsqGJLqDkmSagIy+8nepgKvuvd9qE2oNGSPBdol1bTNq5WOMSQtLJN+/qr5qAKmvRgVMMk+Gqoe7lkgSZKkSkVrAXqOprYHkyRJNcPw4cPjYuqxxx5b3YdSq5Bcw94I9ISfM2dOdR+OSkE7JVoC0VpJNR/thWkHyr9NBgqqn3sWSJIkqdL3k8jcgFiSJFUf+piPHz8+7qlA1Ru909mnS+VDH3/2vaJykr2fVDOxp0VtrlAtNOxXcfnll8f9SlT9DBZIkiRJkiTV8dZDZFmzqXDXrl3DddddFze1VfmwESwbMkuqPNk2PFb1MVggSVKBo/9/bcu8ca+Cuo32Rcm+FLUVx89iQocOHar7UCRJCp07d6514z1J0sLnBseSJEmSJEmSJBU4a84kSZIkSZIkSSpwBgskSZIkSZIkSSpw7lkgqcb78ccfw/Tp00PLli1DgwYNqvtwJElSLfLnn3+Gzz//PGy77bZhmWWWqe7DUYFzXCtJkmryuNZggaQaj0ABm11KkiRV1H333Rd23313T6CqleNaSZJUk8e1Bgsk1XhUFCT/GK6++urVfTiSJKkW+eCDD2LSQTKekKqT41pJklSTx7UGCyTVeEnrIQIF7dq1q+7DkSRJtZCtDFUTOK6VJEk1eVzrBseSJEmSJEmSJBU4gwWSJEmSJEmSJBU4gwWSJEmSJEmSJBU4gwWSJEmSJEmSJBU4gwWSJEmSJEmSJBU4gwWSJEmSJEmSJBU4gwWSJEmSJEmSJBU4gwWSJEmSJEmSJBW4+tV9AJKUr137DwoNGjfxhEmSVIfMnjKxug9BWuh63DsuNHyxmWdekiTl7Y85c0NVs7JAkiRJkiRJkqQCZ7BAkiRJkiRJkqQCZ7BAkiRJkiRJkqQCZ7BAkiRJkiRJkqQCV+FgwdixY0O9evWKLw0bNgzNmzcPO+20U7jyyivDL7/8UuIxzz77bNhll11CixYt4v1XXXXV0L179zB+/Ph4e79+/dKeM9eF+5Uln+fhMm3atOLHfPfdd2Hw4MFhrbXWise37LLLxvfz4IMPVugc/ffff2HcuHFh8803j8+11FJLhTXXXDP06dMnvPDCC8X34xhSj2nRRRcNK664Ythrr73CO++8k/W533jjjdC7d+/QsmXL0KBBg/j8Xbp0CWPGjAn//vtvhY53n332ia9/yimnpF1/3HHHxes/+OCDnI89/fTT433eeuutEu+/a9euYfnllw+LLbZYfF877rhjGD16dPjzzz/zOq7M81PaJfW7+corr2R9vs6dO4f11lsv7brWrVunPc+SSy4ZNttss3j8uXz22WfhyCOPjI/lM+C97bHHHuG5554rcd+yjmm33XaLz5OJc3TVVVeFrbbaKjRt2jQsvvji8eesR48e4Y477kj7rD/55JP4GsOHD8/6GmeffXa8/dtvvy2+LvNnrkmTJqF9+/bhsssuS/t8uF/jxo1zngtuS34uM89lrgvnRJIkSXXbXXfdFcd+kyZNKnEb405ue+qpp0rcxlyxY8eOC+koJUmShPoLehqGDRsW2rRpE/7+++/w1VdfxYXdgQMHhhEjRoTJkyeHDTbYIN7v7rvvDvvuu2/o0KFDOP744+PC58cffxyefvrpcMMNN4QDDjggHHHEEXHBO8HtZ511Vujfv3/Yeuuti69fbbXVyjyuW2+9Ne3vLPpOnTq1xPXrrLNO/HP27Nlhhx12CN988004+OCDwyabbBJ+/PHHcPvtt8eAxkknnRQuvfTScp0bFtmvueaasPvuu4cDDzww1K9fP77OI488Etq2bRu22GKLEvffdNNN47lk0f3666+P53PmzJlh5ZVXLr7fjTfeGBepV1pppXDQQQeFNdZYIwZnnnjiiXDooYeGuXPnhtNOO61cx/rzzz+HBx54IC70sgh90UUXFS++c+wsWBPU4fPIhsesv/76xZ/3/PnzQ8+ePcOUKVPiIJ/zx/F+//33Yfr06eHoo48OL774YrjpppvKPDY+o8zPbciQIXGBmiBFZeG7eeKJJ8b/5xxynvv27RsXzQ8//PC0+xIQ6NatW/z/ww47LKy77rrx+88CON/VK664IgwYMGCBjofvIsG1V199NQatzjjjjBgU4nUef/zx+DNDAOfMM89coNch0MF7Bd/5e+65J35eL7/8cpgwYUK5n2/kyJHh119/Lf77ww8/HL8fl19+eQwaJZz8SZIk1X0kvSSJY8wPUucfzHOYIzG23m677Ypv+/zzz+Nlv/32q5ZjliRJKlQLHCxgMZOF9dRF3CeffDJmSpP9TGZ8o0aNYlYzC6pk1JMdnerrr7+Of2655ZbxkiALm8VpriOLvjwy78/rEizI9jwszpPF/8MPP8TgBZUAiUGDBsXFcrK1eZ8EPPIxb968cO2118ZFZrLoMxdTWQjOxCIzx5GgwuGoo46KgY6TTz65+H0QKOCcsAhLtUKCIA3njEF3ebFATJb6zTffHLbffvt4Hrbddtt4G+dj9dVXjwu+2YIFzz//fAzsEGBIPW8ECnivBIdSsSD//vvvx88jHwQZMj83XouF5/J+L0pDxUvq85EpT1CHRe7UYAHfEz4nvtdMbFKDVyeccEJc2Oez2HjjjRdoQZxA0Ouvvx4/m169eqXdxs8ZnzXBpwXFBC31fRPI4TO/8847Y9CPSobyoLoiFcENvjtcn616QpIkSXUXY0mSywgWZM4hioqKwt57713ituTvSaChInjuP/74I47ZJUmSVI17FrDYTLbzp59+Gm677bZ43Ycffhiz5jMDBaB9S3ViMZYF9lNPPTUtUABaAo0aNSoss8wyMeCRLxbPGaB26tSpxG1k7OfznpNqCs5d4pxzzomPp+IhNVCQIKCRT5umTDwf7YLI6CGTn7+nImDy7rvvhtdee63EY6k44Jj233//+HeygMhU33nnnUsEChJUQ7AoXZOtsMIKYe211047/+D7wAI4lSaZVS5MRm655ZZ4Pqi6qSgmTwRbqKrJDBSkftZ8LpVtkUUWia2aktZGkiRJ0oJg0Z8kGKqPEyTdtGvXLiafkRBFC9PU2xhPM5f6559/wrnnnhvH3VTEknxCFXVmS1OuJ2GNMTTjZMbljNuTlqa0Q2IuRYIQ8yiSf3766af4PCT6MD+jcpkq88znJsmJ98CckPuQ1FXeSm5JkqSC3uCYrGg89thj8c9WrVrFNjlffPFFqGlovwP2Eshm6aWXjq2EWCwvrW9/Kt5v0n7p999/r9BxJQu1tGwCz8M53GabbWIPz8ry5Zdfxj6hyWI/f06cODH89ddfxfdJFqWT/SUSVCMw8CawkRwTbZa4vjKz/iuCwT/9+TMvVJLkg4kJ39fk/Kd+X9jTgj0esiFziskEFTapE6KKfCcrcg75nmR73+X5HiYBkuWWWy4sbFQazZo1K+2S78+dJEmSah7GxozBaUOaGhCgCpcL4/bU6mhuI2mHsSgtP6lu3mijjWLFL9XPF154YdYWRVTdMpchCYq2oLQZTfAYAgkkiB1yyCHh3nvvjRXb/P97770XE8NI0qGt6MUXX1z8OMaiBCEIIJAMxN5eVNBn26csk+NaSZJUcG2IcllllVXiInuy6MimufTTJyOEDBEGjGx0y+CQTObq9Pbbb8djTRb4s2HzLdBWiZY8ZWnWrFkMPtBCiHNBpjbve9ddd40D32zYdyBZzGbPAjJcyILZc8894+0smHIbewNUJlrEkKVDQAQMvBmQ0+YoaSlDJQCVIbSmueSSS4o/M3rnMwgm2ydBUAWZmwgTfKA3aYL3VpWL0an7X2QiiykT5zbZ/JfKAd4nfx5zzDElvi9kE3HOSvu+sDcDn1lFPq9c55BS6tT9AGghRIZTqqFDh8ZLeSTvm4kawZ/77rsv7j/B+1zYaN9F1pckSZLq3r4FzItIyiFwwP5gzA9pO8ptjD+ZE/3vf/+Li/hvvvlmrNolYMA+d6A6mSoA2sSS8JS61wFj70cffTS2BU1QWQBek/H5YostFv9OW1j256IamnlP8tw8B61Zk/arVBUwjyEhKnX/rXw4rpUkSbVNla7SU6LJYA8M9hi4MThkIMjiMtnoLELPmDEjVCeOMVtLn1TJ7amL3WUZM2ZMuPrqq2Om+aRJk+KmsbT4YSPlOXPmlLg/54jWN/T1ZNDKwi0b+7JIn/raZR1redFyiCBG8rx8JvTbz2xFRJY7mfbsZ5Cg0oDWUvQaTSTHyeefikE47y+5lBacqQxsLs3gPvOSbMKciSqY5NhY4OfcU4acubF1VX1fUuU6h2x6nXoOs/VxpXVRtvedVPtk+u2334qfj0AYJdXsicF3tjowSSOzLPVC8EKSJEm1E3MgkoSSvQgIAjAGTfb34s8kU592nFQpM85NFvHZFyxzDzQ89NBDadcz70oNFKQikSsJFID2s7SNZQ6Wiutpq0pwAUlizv3335/WKikfjmslSVJtU2WVBSADOrU3PwM3LrRDefXVV2OWOouflHWSSV1dexewsJtkVueSBD3Ks1BP9j1Z6Vy+++67OADm/ZKVQvb+M888k3Z/slcIoHDeWKgl0yW16qJJkyZpx1IZqJSgfyiD59RWLwR1WGxn0Tp5XY6ZgToBAm4ny53jpM9oaque5BylZsCDyopkU2MW4PMp3V0Qm222Wdrm2wmONdvnzcTgvPPOi5MTFqj5fzYzztxng/dX1mdQke8LlRapr5GcQ6peElSZJNUGTJI41kwEe7JVVWRuHJegpVLS9ohqCSZZVMOUV+rxLwj+HajufUwkSZJUeRgnEhAg6YgFd+YBjPeSim1uI8kKyRyBYEFS0ZxZ2b3yyivHRXz2yEvFODaXzDauyRi7ZcuWJa7nGEncIsCx7777xv3YqG6ghRGJX7QrYs+DsirkHddKkqTapsoqC8hAZ4CVrWXPEkssERfFGRCeccYZcUGWBfTqzHThWD/77LOc96EtENZdd90KvQYDTXpbkh1Dn00WbjMHt2Szs8hL6x/Kbbn/4YcfHjNbwLmk7QxluZUl2YB60KBBcZE5udCLk2AAmz+nDnbp/8l1tOxhgZlF8cxNdpM2S6l9R0HmOu+PC22aahrKijk2AlosxHNuyGin32nm94V+qJkbn2V+X8hc4lwmC/LItYcBAbTkPqWdQyYzyTnM3EuhotjEO3lOfi6zBQo4Nt4v2VeZuI7vSurxS5IkSalY/GfOxVwm2a8gwf8zN6L6mnkSldZt27Ytd1IKmxqXNuYtz/XJuJfnJMhB+1UqdRnnE0BgXpQtcUeSJKk2q7JgAS1ckKsMNJFkfs+dOzdUFyobwP4C2ZBdT9kpC7j57FdQlnzf80UXXRQXYc8///ziIMv2228fB6tJAGFBMACmSoA+n2zEnHmhXU9mKyICA99//30M7vBYqg66d++edh8qDRh0Zz62tqE1E4GdCy64IJZJp35f+Fw4R7k2pqZqhM8qmbAkLZcIMmTDpmqpbZmS72RNOYccG6XYyR4kqahIYaJU1W2lJEmSVDf2LSBYQNVxghaoVLiyvwB7GSS3Mb4ky//9999Pe6558+aFH3/8caGNP6kgoKJgxIgRcf8y5mdPPvlk3DNBkiSpLqmSYAEDJ/YkoAw0yTp/4oknst436UNZHRupJighpWKAxflXXnkl7TYGp0cddVSsfijPprFsjMtAMhObY3EuspXTZmKzL9rOjB07Nj4fOAYW+clqyWzzA9o7UZWQDwbpLGzTl59zkHkhY4YB8Jdffln8GKoeCFqwWRcBA0pwMzPKKfGl9ye3J+XEmbJlqNdEbMxNC6lkQzUcccQRscpi8ODB4aOPPkq7P0EEzifvL9kULZkA8RhKmDMrEqheIIuKIEuCCRLZSqNHj46Bquo+h8mxZfs8aVeVeh9JkiQpW8IU8waSYRj7plYWECjYaKON4riSJJ0ksNCtW7f458iRI9Oei0X7JLmnqpEolalDhw7xz9IqjSVJkgpyzwIWhNlvgKxjMjwIFNCXniyPyZMnFy8k77777jF4QBY6i+AMAinlpJUNG/hmZqcvTPSknzhxYswWYWDKYi+DWbJVyJ5/7bXXYlsaevaXpw0TPfPJLud56av59ddfhzvuuCNu6DVw4MDY9qYsLEjfddddcYBMMINBNYNoNsui0oGgAa1uaAdEJg7nnF77+WCgTgVArkE2bZBOP/30uHdCsqkYG+4SMOC8ILMFUYLj/fjjj8OAAQPi4/l8WSxnrwCCFHzu1RkgyhcL4OwRwISEvSdoLURLKb4vnDcmNfQvJdhEQIfADpn2tC5KnQDxHRs+fHjo27dv/L4TiOF52C/i5ptvjlUcbEycijZIbHTN+eY4ktZDvA4/O1SYLKwFeiZEvE/eF5ldBDLAzzoBP25r3779QjkWSZIk1T6MhxkHU4FLcIBkmlSMnWmFiiRYwPiS8TMJNMzNqPp96aWXYnIUY2QqpKvasGHD4ribsT9zXOZ0JE7RujM5TkmSpLpigYMFSfY0g79ll1029t1noZgF99TNXcmoJkOahW8y1cmKpg8li9Fkb9OLvzrRh55FfBbkWXAfM2ZMbCFD0IC/lzeYwUI454GFVAaTBFIInLDwTJb6oYcemtfz8PpsJnzdddeFIUOGxA23yGxnoM1gmtZJ33zzTVzEZ+Ga4+7du3eZz8ueA7TRYVDO55YNx0qAh0XrJFiQBAgIFrDvAMGQbKg+ePTRR2M7Ki5sTkY7JzYiY9DPOWHgXxucdNJJoV+/fjG4wp+gtz/9SmlRxHmkpRSfDeeTxf9sEwcCO+zbwLngwv4FTDKOO+64cOaZZ5bosUpwZcaMGWHUqFFxM/Bzzjkn7m1AkInvBcdD0GFh4Tj4+eb98V1MvudXXnllDKRIkiRJpWGMTLAgaTuUispa5jfMIVOTUJhHMm8kKWfSpEkxCYuxaHmqvhcECVRUYzMGJvGJsThBC8bmySbJkiRJdUW9otrSD0ZSwZo1a1YMXrXq2DU0aNykug9HkiRVotlTJi6UccTMmTNDu3btqvS1pHy/j22HnRwatmjmCZMkSXn7Y87c8NFZl1TpuLbKNjiWJEmSJEmSJEm1Q/X2/qkgNvbNtrlvKtq90I+/KtD2599//815e9KSqTqxERebKefCueEc1QS16VglSZIkSZIkqS6qlcECNoqlR2Rp2Fy3devWVfL67Bfw6aef5rydHpZsNlydevXqFaZPn57zdjbnovdmTVCbjlXV66HRl9s+QJIkSbXe5F59HNdKkqTytzM865JQlWplsKBPnz5ZN5BNxcZXVYWNZdmcNpemTZuG6sbmYD/88EPO2zM3061OtelYJUmSJEmSJKkuqpXBgrZt28ZLdenUqVOo6TbeeONQW9SmY5UkSZIkSZKkusgNjiVJkiRJkiRJKnAGCyRJkiRJkiRJKnAGCyRJkiRJkiRJKnAGCyRJkiRJkiRJKnAGCyRJkiRJkiRJKnAGCyRJkiRJkiRJKnAGCyRJkiRJkiRJKnAGCyRJkiRJkiRJKnAGCyRJkiRJkiRJKnAGCyRJkiRJkiRJKnAGCyRJkiRJkiRJKnAGCyRJkiRJkiRJKnAGCyRJkiRJkiRJKnAGCyRJkiRJkiRJKnAGCyRJkiRJkiRJKnAGCyRJkiRJkiRJKnAGCyRJkiRJkiRJKnAGCyRJkiRJkiRJKnD1q/sAJClfu/YfFBo0buIJk6QaZPaUidV9CJJU6/S4d1xo+GKz6j4MSZJUi/wxZ26Vv4aVBZIkSZIkSZIkFTiDBZIkSZIkSZIkFTiDBZIkSZIkSZIkFTiDBZIkSZIkSZIkFTiDBZIkSZIkSZIkFTiDBarVxo4dG+rVq1d8adiwYWjevHnYaaedwpVXXhl++eWXtPv369cvNG7cOOfzcRv3SUybNi3t+RdddNGw4oorhr322iu88847OZ/n4YcfjvfnWP7777/i6zt37pz2fLkuZ599drx/69atw2677Vbi+X/77bdw7rnnhg022CAsscQSYemllw5bb711GDduXCgqKipx/+R5L7vsspzn8JVXXgn5+uSTT+Jjhg8fnvVcvfrqqyUeU9a5lyRJkqpyrsCFsfx2220XHnnkkQo95wUXXBDuu+8+PyhJklQn1a/uA5Aqw7Bhw0KbNm3C33//Hb766qu4cD1w4MAwYsSIMHny5LioviCOO+64sOmmm8bnf+utt8L1118fX2PmzJlh5ZVXLnH/22+/PS70s6j+5JNPhi5dusTrTz/99HDYYYcV3+/ll1+OQY3TTjstrLPOOsXXl3a88+bNCzvssEMMVuy3337h2GOPDX/88Ue45557Qt++fWOggtcnsJHp0ksvDUcddVQMMFQlgh0PPPBAlb6GJEmSVJ65Akk1jKUJInTr1i2OV7Ml5pQVLCBxaI899vDkS5KkOsdggeqEXXbZJWyyySbFfx8yZEhcpGfw36NHj7iw3qhRowo/P1n7TAoSa621Vlx0J5P/5JNPLpH1f//994cLL7wwjBkzJi7cJ8GCrl27pt2XSgiCBVxP1UE+CAjwfiZNmhTfW2pAY/DgwTHbf8MNNwynnHJK2uM6dOgQ3njjjRjoOOGEE0JV4XUefPDB8Nprr4WNNtqoyl5HkiRJqshc4dBDDw0rrbRSuOOOO8odLJAkSarLbEOkOmv77bcPZ555Zvj000/DbbfdVqnPTfAAH374YYnbWMSfP39+2HvvvWPm/7333hsz/yvDCy+8EKZMmRJb+qQGChIEKNZYY41w8cUXx2NI1alTp3hOLrnkkhK3VaYBAwaEpk2bFrdSkiRJkmqSZZZZJiYS1a9fPy3h58QTTwwtW7YMDRo0iMlBJOGktvikjRH3u+WWW4rbGqW2MJUkSartDBaoTjvooIPin4899lilPi/thcCieCYqCeiDSnsiggXsm1BZLXmS5+nTp0/W25nwHHDAAeGHH34Izz33XInbWcCn9Pq6664LVaVJkyZh0KBB8VipLiivr7/+OsyaNSvt8sEHH1TJsUqSJKnu++mnn8K3334bvvnmmzi2pEL4119/Db179463ExAgEefyyy8PO++8c2xlSrCAqt3Uitxbb701BhJIHOL/uRxxxBE5X9dxrSRJqm1sQ6Q6bZVVVomb/2arACgPFvyZYCR7FrAfAplEe+65Z4kJweOPP168GL/qqquGLbfcMgYQqDRYUG+//Xb8s3379jnvk9xGq6Kk/VGCiQ2BjGTvggVpzVQaWiIx2TrnnHNiS6byuPbaa+PjJEmSpMqQOSZmwf/mm28ubhHKHme0MD3vvPPiHmM45phj4vj9iiuuiHuErbbaajG4cOSRR4a2bdsWBxpK47hWkiTVNlYWqM5r3LhxXOxfEIccckhYYYUVQvPmzWO2EdlJZBKx6XGqCRMmhEUWWSQtiLD//vuHRx55JGb7L6jkfSy11FI575Pc9vPPP2e9neoCNoFm74KqQoCGgAoTr9dff71cjz366KPjxtGpl/vuu6/KjlWSJEl12zXXXBOmTp0aL7QnJXnmsMMOi+1C8fDDD4dFF100Jrykoi0RVQeM5SvCca0kSaptrCxQnUeJ8Yorrpj3/akYyHTWWWfFrHyeiz0JkqBAJiYfm222Wfjuu+/iBWw2/Ndff4W777479O/ff4HeSxIIIGhAr9WKBBS22WabOEFi7wIyo6rK8ccfH6sLCE6Up7qAz6o8n5ckSZJUGsbnqRsck8zDGJ2KATY4Zo8zkoIyx8/rrLNO/JPbK8JxrSRJqm2sLFCd9sUXX8QqgNVXXz3+vWHDhuHPP/9M26gswXVsRMx9Mq2//vqxfHmPPfaIG5rR0/Twww8Pn3/+efF93n///fDyyy+HZ599Nm4ynFy22mqreDutiBZUMmGhFVIuyW3rrrtuzvsMHTo0VheMGjUq1MTqAkmSJKmqkPRD8szcuXPjGF6SJEn/j8EC1Wm0CsJOO+0U/2zVqlX4559/su5hwCa6//77b7xPWS666KIYWDj//POLryMYsNhii8WqA6oIUi9k2T/zzDPhs88+W6D3Q+YTxo0bl/V2jn/8+PFx4+VOnTrlfJ5tt902dO7cOVx88cVh/vz5oaoQLKACwj0IJEmSVJMwJwCVw4z/v/zyyxKtS9999934Z+r8IFsVsiRJUl1hsEB1FpuUnXvuuaFNmzbhwAMPjNftsssu8c+rr746ay/T1PuUhg3O2Jdg7NixMUM/CRbQqmjfffcNe+21V9pl8ODB8T533HHHAr2njh07xgqHMWPGhAcffLDE7WzI9t5774WTTz65zM2Lk70LRo8eHaq6uoA2RG+88UaVvY4kSZKUr7///js89thjYfHFF4+Vu926dYtJN5lzBFpqEhxInR8sueSS4ccff/RkS5KkOsk9C1QnsOkYmT9kCM2bNy8GCtjAjCwg2uAkrYU6dOgQNzO74oorYslx165d4/Xcl43NuK19+/Z5vSYBgLvuuiuMHDky9OzZM1Ym0Pc0mxYtWoSNNtooBhROOeWUBXqvVBXssMMOYffddw8HHHBADFDQWokN2qZNmxaDFUlwojRUF3CZPn16qErJ3gVvvvlmnFxJkiRJ1TFXwNdffx0rcZkLnHrqqaFJkyahe/fusS0RiTeffPJJnA8QTCDhhcQXEoUSG2+8cXj88cfDiBEj4j4HJCZtvvnmfqCSJKlOMFigOoENiEF20LLLLhv3GGAR/+CDDy6xURl9+rn95ptvDkOGDInXrbXWWuHKK68MxxxzTN6vySZptPK57rrrYoACTDRy4Tay+dlTYIMNNqjgOw2hWbNm4aWXXgqXXXZZbHF0zz33hPr168fnpNKhT58+eZdHczxMjKoSbYiYZNmKSJIkSdU5VwBJRGuvvXYcwx9xxBHFexiQYMT97rzzzljF27p163DppZeGE088Me25CBL0798/nHHGGbGdZ9++fQ0WSJKkOqNeUbadXiWpBpk1a1ZYb731QquOXUODxk2q+3AkSSlmT5no+VCtGEfMnDkztGvXrroPRwUu+T62HXZyaNiiWXUfjiRJqkX+mDM3fHTWJVU6rnXPAkmSJEmSJEmSCpxtiCQV++uvv8L3339f5qbFZW2eXFUeGn25GYGSJEmq9Sb36uO4VpIklb9C8axLQlUyWCCp2IwZM8rcw4Aerv369fOsSZIkSZIkSXWIwQJJxdq3bx+mTp1a6hmx168kSZIkSZJU9xgskFSsadOmoUuXLp4RSZIkSZIkqcC4wbEkSZIkSZIkSQXOYIEkSZIkSZIkSQXOYIEkSZIkSZIkSQXOYIEkSZIkSZIkSQXOYIEkSZIkSZIkSQXOYIEkSZIkSZIkSQXOYIEkSZIkSZIkSQXOYIEkSZIkSZIkSQXOYIEkSZIkSZIkSQXOYIEkSZIkSZIkSQXOYIEkSZIkSZIkSQXOYIEkSZIkSZIkSQXOYIEkSZIkSZIkSQXOYIEkSZIkSZIkSQXOYIEkSZIkSZIkSQXOYIEkSZIkSZIkSQXOYIEkSZIkSZIkSQXOYIEkSZIkSZIkSQWufnUfgCTla9f+g0KDxk08YTnMnjLRcyNJklQL9Lh3XGj4YrPqPgxJklSL/DFnbpW/hpUFkiRJkiRJkiQVOIMFkiRJkiRJkiQVOIMFkiRJkiRJkiQVOIMFkiRJkqRaYezYsaFevXrhk08+qfTn5jl5bl5DkiSpEBkskKpg8vLKK6/Ev5999tnx7yuttFL4/fffS9y/devWYbfddivXa/Tr1y8+Z3KpX79+aNmyZdhvv/3C22+/He9z0UUXxdumTJmS9Tm6desWll566bDjjjumPVeuC6+Jzp0757zP2muvnfYa//vf/8Jee+0VWrVqFRo2bBhatGgRunbtGq666qpyvV9JkiTVXNdee20cC26++ebVfSiSJElaQPUX9Akkle3rr78O1113XTjxxBMr5XQ1aNAg3HjjjfH///nnn/Dhhx+G66+/Pjz66KMxYMDrjB8/Phx99NFh5syZoVGjRsWPvfvuu8MjjzwSrrnmmrDhhhuGPn36FN/28ccfh7POOiv0798/bL311sXXr7baasX/v8oqq4QLL7ywxDERfEjMmDEjbLfddmHVVVcNhx9+eFh55ZXD559/Hl544YVwxRVXhAEDBlTKeZAkSVL1uv3222MCzEsvvRQ++OCDsPrqq9faj4Qkl/nz54fFFlusug9FkiSpWhgskBaCDh06hEsvvTQu3qcu3FcU1QS9e/dOu26LLbaIVQoPPfRQXKAfPXp06NSpUzj33HPDBRdcEO/zyy+/hIEDB8b7HnnkkWGRRRYJW265ZfFzUBFBsIDrMp8/NSiQ67bE+eefH+/38ssvh2WWWaZE4ESSJEm1H4kmJInce++94YgjjoiBg6FDh4baigoJKmIlSZIKlW2IpIWABfh58+bF6oKqQvZ+EkhAEhAYPnx4cXuiM844Iy7WE0ggUFBVqHRo165diUABVlxxxSp7XUmSJC08BAeaNm0adt1119h+kr9n2wOA8SjjT6pVqZDddNNNY1JJqrfeeiu2vmzbtm1csGdse8ghh4Tvvvuu1GPo27dvWH755cPff/9d4jZabq611lrFf586dWrYaqut4hi1cePG8bbTTjut1D0Lvvrqq3DwwQfH6lqOvVmzZmH33Xevkj0TJEmSqpuVBdJCQEuf7bffPlxyySXhqKOOqpTqgm+//Tb++e+//4aPPvoonHLKKWG55ZZL2wOBdkH33XdfzPQaOXJkbD00ePDgsP7661f4dXm95LVT8Z6WXHLJ4hLu559/PrZAWm+99cr1/AQzvvnmm7TrKGmXJElSzUJwoFevXmHxxRcP+++/f0yMIQhAMCAV7TGpcGVMymI8Y2Iexxg2afnDQj5/Z2GeQMGsWbNigIE/aWXJ47I56KCDwrhx4+JeXanjYBb5n3zyyeJKB56H2zfYYIMwbNiwuPDPGPO5554r9T3uueee8bG00aTdEmNVjvWzzz6Lfy+N41pJklTbGCyQFhImKttuu23cW2DQoEEL9Fy//fZbWGGFFdKuYwPhxx57LO36Jk2ahCuvvDJmepFZxSI+VQ4L4t133y3x2mDyx3vDSSedFHbZZZfYfmmzzTaLwZIddtgh7mNQVg9YNsk755xzFugYJUmSVLVeffXVOC686qqr4t/J2Cf7ngBCZrCAhfX3338/ViGAjH6y81MX+GnXmbm/F5WyBCGeffbZtP20UpGQw+vedtttacGCO+64I/z333/F7TNZ4P/rr7/i3l1UIuTjxx9/jG2WaCfK+DYxZMiQvB7vuFaSJNU2tiGSFpJtttkmLpaTScXGaQuC0mwmPFyYZI0aNSqWUnfr1i289957JbKhuP7777+PlQULWtVABlXy2qkX9kJIdO3aNVYW9OjRI7z55pvxPe+0004xoDF58uRSnz/ZlDn1QnWEJEmSag6CAiuttFIc34LM/3333TdMmDAhVqKm4vokUIBk4Z9KgkTqGPWPP/6IlawEC/Daa6/lPA5aax544IFxjEn1QurxdezYMbRp0yb+PWmPef/998cgQj44Jqompk2bFn744YdQXo5rJUlSbWOwQFqIzj777FgSnWTgV9Siiy4aunTpEi9UDPTv3z88/vjj4aeffsqa6ZRkd22yySZhQdFqKHnt1Mvaa69d4jXZ7I6J1UsvvRSPiwkcVQ7JHgrZsKcB+x2kXlZfffUFPm5JkiRVDoIBBAUIFLDJMe18uGy++eZxn64nnngi7f6rrrpq2t+TwEHqAjyJLccff3wMQLBITyVrstDPGLc0ffr0ick4kyZNin+fPXt2rHygRVFqwKJTp07hsMMOi6+x3377hbvuuqvUwAGtii6++OJYjcBjSP4hCYbxfD4c10qSpNrGYIG0EDHB6Ny5c6VUF2Si/JqS7qeffjrUJGRjETi44IILYh9bNp+7++67q/uwJEmSVEHsBTB37twYMFhjjTWKL/vss0+8PXOjYxJdsikqKir+fx57ww03hCOPPDImnNBe89FHH423lVUJsO6664aNN944tiICfzIGTY4HBCAYJ5NgQxCBDZUJIFARm1kJkYrqWSp32QuM6t4zzzwzrLPOOuH111/P61xJkiTVJgYLpGqqLqB1UGX7559/wq+//hpqqqSygcmlJEmSaieCAWTNkwCSeWGPATL8y5MYQ4UB1Qinnnpq3LuqZ8+ecRG/bdu2eT8H1QVJEIMNlXfddde01kdJyyL20RoxYkSsdD3//PPjY5566qlSn3u11VaL+ykQwKBFJnsfXHbZZXkfmyRJUm3hBsfSQsYmx1QXUNKcmk21oMh4ouSarKrqxoSL90jv2lQPP/xw/JMKCEmSJNU+BAHI/N97771je8lMzZs3j5sLs4cAbYnykVQeZI6NR44cmfdxEaRgQZ9WRuyFwKbEqWhztOyyy6Zd16FDh/jnn3/+mfU5f//99xhgoKIgNXCw1FJL5XyMJElSbWawQKoGQ4cOLd4MrqIVBEmZNWXZn3zySdwHgf/nuasSPWOT187Uu3fv+OeAAQPi5IqsMPYyIPtqxowZ4c4774wbJB988MFVeoySJEmqGslGwj169Mh6O5sSs98A1Qf5BguaNGlSvB8ALStbtGgRs/jZDyFfvObOO+8cqxvYzJjKglTDhg2LbYi4vlWrVuHrr78O1157bWzludVWW+VMxqESgXZGtDqqX79+rJpgXwb2PJAkSaprDBZI1YCseyoMpk+fXqHHk8mUumEbEyz2Bbj11lvjhKYqffHFF2mvnS1YMHz48DhRo5Jg9OjRMVjAxnZHH310OOOMM+IETpIkSbUPQQAy7WkTlA2Z+CzIc7/vvvsu7+eldRAJJ9dcc02sMNhxxx3jxsJUKpSnFdGDDz4YF/fZnDgVwQ0SbG6++ebw7bffhuWXXz6Ox2l7tPTSS2d9vpYtW8aKBVokMc4mWEAiDBsj77nnnnkflyRJUm1Rr6gy+6BIUhWYNWtWWG+99UKrjl1Dg8ZNPMc5zJ4y0XMjSVKOcQS95tu1a+f5qcPuv//+sMcee8QKgq233jrU5O9j22Enh4YtmlX34UiSpFrkjzlzw0dnXVKl41o3OJYkSZIk1Xo33HBD3BQ5V1shSZIklc42RFINwaZrtOspbeM3erFKkiRJ+j8TJkwIb731VnjooYfCFVdcEerVq+fpkSRJqgCDBVIN0atXr1L3MGAjNvqsFrKHRl9u+wBJkiSlYV+Bxo0bh0MPPTTukVUbTO7Vx3GtJEkqfzvDsy4JVclggVRDXHbZZeGHH37IeXujRo0W6vFIkiRJtYHb8EmSJFUOgwVSDbHxxhtX9yFIkiRJkiRJKlBucCxJkiRJkiRJUoEzWCBJkiRJkiRJUoEzWCBJkiRJkiRJUoEzWCBJkiRJkiRJUoEzWCBJkiRJkiRJUoEzWCBJkiRJkiRJUoEzWCBJkiRJkiRJUoEzWCBJkiRJkiRJUoEzWCBJkiRJkiRJUoEzWCBJkiRJkiRJUoEzWCBJkiRJkiRJUoEzWCBJkiRJkiRJUoEzWCBJkiRJkiRJUoEzWCBJkiRJkiRJUoEzWCBJkiRJkiRJUoEzWCBJkiRJkiRJUoEzWCBJkiRJkiRJUoEzWCBJkiRJkiRJUoGrX90HIEn52rX/oNCgcRNP2P9v9pSJngtJkqRaqMe940LDF5tV92FIkqQaYNYhA0NNYWWBJEmSJEmSJEkFzmCBJEmSJEmSJEkFzmCBJEmSJEmSJEkFzmCBJEmSJEmSJEkFzmCBJEmSJKlOGjt2bKhXr1745JNPqvtQJEmSajyDBaowBt35XKZNmxbv//PPP4dzzjkntG/fPjRu3Dg0atQorLfeeuGUU04JX375ZfHz9uvXL+3xTZo0iY+57LLLwp9//pnXsX399dfxsccff3yJ27iO24YOHVritj59+oTFFlss/P7778XHwrGm6ty5c3x89+7dSzyeSQi3DR8+PJRH69at4+O6dOmS9fYbbrih+Hy88sorWe9z8sknx9v33XffrLffeOON8fZbbrmlxG3PP/98WGSRRcJJJ51U7olX6vGcffbZ8bqVVlqp+Bxmvs/ddtst79eQJEmSJEmStHDUX0ivozro1ltvTfv7uHHjwtSpU0tcv84664SPPvooLoR/9tlnYe+99w79+/cPiy++eHjrrbfCTTfdFCZNmhTee++94sc0aNAgLm7jxx9/DPfcc09cyH755ZfDhAkTyjy2FVdcMayxxhrh2WefLXHbc889F+rXrx//zHbbhhtuGJZYYokyX+PBBx8Mr776ath4441DZWjYsGF46qmnwldffRVWXnnltNtuv/32ePsff/yR9bFFRUXhjjvuiIvxDzzwQPjll1/CUkstlXafQw89NAYKOI8s2C+33HLx+r///jt+Hi1btozBnMpAsOa6664LJ554YqU8nyRJklQRBx10UNhvv/3i/EKSJEmlM1igCuvdu3fa31944YUYLMi8/p9//gk77bRTmDdvXqwy2GqrrdJuP//888PFF1+c/sWsXz/teY4++uiw+eabhzvvvDOMGDEiNG/evMzj43UIYPz666/F1QG//fZbePPNN8M+++wTJk+eHP7999+w6KKLxtvmzp0bgxq77757mc+96qqrxgV5Ftd5nsrQqVOnGAzhPaZWRHzxxRfhmWeeCT179oxBk2w4r9zvySefjOf63nvvDX379k27Dxn/o0aNCh06dIgBgzFjxsTrqdiYOXNmfB9LLrlkpbwXXuPSSy+NnxsVJJIkSVJ1YKyfjPclSZJUOtsQqcqxwM0C/emnn14iUADaDBEwKA0tcmj/g3z7jfJaBAMIYiRefPHFGLxgsZwgwhtvvFF8W1JpkO0YM5G1P2jQoJjF/9prr4XKQOVAr169wvjx49Oup2KgadOmMQiQC5UH6667bthuu+1iBQd/z4b7DB48OLYQmj59evj444/DsGHD4utma6tUUWeddVYMDlFdIEmSpNqLBJmBAwfGClay86ng7dq1a9oYmDF2t27d4piV5JMNNtggXHHFFcW3U01Me8+2bdvGMS9VtIccckj47rvv0l4raWn5wQcfxPsvs8wyYemllw4HH3xwiRaX3O/YY48N9913X2xtyrG1a9cuPProo2XuWZC0xqQKebPNNovHxLGRaJSJY992221jAswqq6wSzjvvvJh04z4IkiSpLrKyQFUuybynBHhBfPjhh/HPpH1OWZJFfyYByV4ABATWXHPN2GqIwT5/T9oIlSdYALL/L7/88jipqazqggMOOCDsuOOO8b2uttpq8TqCB3vttVfcSyEb9nEgIJO0/Nl///3jhCpbOyOcccYZsZXTEUccEVq1ahWrOK688spQmbbeeuuw/fbbh0suuSQcddRR5aouoIXRN998k3YdE0ZJkiQtfEceeWSYOHFiXJgn8YQFfsbX77zzTthoo41iZTEL782aNYvjY8af3EbLzqRalvtQwcsYldtnzZoVRo8eHf8ksYeF91RUAbdp0yZceOGFMShBe1KCFJnVyBwHFbVUs5LMw5h2zz33jK1Py5ozML5kjE2rTipyb7755higYG5A0AFz5syJyTgc35AhQ2IghGPJt6WR41pJklTbGCxQlWOyQEYQPfHL49tvv41//vTTT+Guu+6KWUNkKa211lp5PZ6gAJOK1H0LCAjQ7gcdO3aMtx133HHx7/w/+xzwmHxQEUGWFRslM4lhsrSgWGBnAkU1AYv6nDuqH8jMYoKVDRMx9nWgFyv22GOPuAcBAQGOLxML92T8U6kwe/bsMHLkyNCiRYtQ2TgvZGFdf/31sQojX9dee22l7Z0gSZKkBfPQQw+Fww8/PLauTJx88snxT6p4SUAhUMCYlUqA1D21EizmZ+5ltcUWW8QkF8bgJJqkIrGHfc0SBCj4e2awgLHy22+/XZxkw8J++/bt41ia4EZpGAc//fTTxa9NgIL5ClUDw4cPj9fxej/88EMc69NmEwQ8mDPkw3GtJEmqbWxDpCr3888/l9hstyzsLbDCCivEy+qrrx5OO+20sOWWW8aNkMuDwABl0Uxk/vvvv5i5RJAguS2pJqCsmQlOvlUFCbKlKLeurMVt+qkyUWGCA9oJMWnJnECl4j6bbLJJPE/gXO+66645WxFh2WWXja2dQCVDVdhmm23ihI3qgvnz5+f9OCaT7KGQeiFQJEmSpIWPAADj6S+//LLEba+//npsa0mCSmqgAKnVAqlVpn/88UdMCiJYgGwtPalmSMVYmIAB84pUVA8ngQKQWERCT64km1RUSaSOsZl3kJSU+lhaGjEHSQIFyTj6wAMPDPlwXCtJkmobgwWqcgzY6XVaHvQNpVyZCxk/n3/+eVzYp5doebD4n+xNwKIzVQqplQVMeuhfmuxlUN5gARUTTI5oQ8RkqbJaEZEhxT4PtCCiYiCzNDtBRcHDDz8cM/gppU4uvMdXXnklvPfeeyUeQ+CEygM2iWZSl1RWVAVaNNEOieqCfFHZQel36iUJhEiSJGnhIvGDcTQJLPT3Z3yXLKgnbULZM6A033//fUyyWWmllWLggIV52gyB8XmmVVddNe3vJOeALP/S7pfcN/N+2eTz2E8//TTrODTfsanjWkmSVNsYLFCVW3vtteMkgAX/8mTYkynEhYwf9heoiNR9Cwg2kAnE8YAMoSWWWCLelrQqKm+wAEx8WHSvrOqCzTffPGZIEYQgU4vgQS5333133LOAsnDKoZPLCSecEG/PVl1ASyMCG1dffXXcWPrxxx8vsalyZVYXsDF1easLJEmSVDNQ9Upw4KqrrorJJpdeemlM5njkkUfK9Rw33HBDrBhgj4HHHnuseCNiqn+zzQWySW1tVJ77ZbMgj5UkSaqrDBaoynXv3j3+edttty30s80+AklAgGABZcRJlj4b+2666abxei5k/rDPQXkl1QX3339/pVUX0L912rRpYZ111kkre85EMIBMLoIGmRcCLZlBAAI27CWw++67xwsTNjLECC5ky+qqzOqCUaNGVcnzS5IkqWqxJwEtdWgNSTILmweTdJK0AKLyIBcy9Z944olw6qmnxuSanj17hq5du5a7Yrg6tGrVKlbtZsp2nSRJUl1gsEBVbq+99grrr79+nFA8//zzJW6nRdHpp59eJa9NQIBM/SQgkOxXkODvtDliL4OkPVFFJH1ahw0bVglHHcJhhx0WF/VTN5LLxMI/x06mFuc488Lma0xkaLGUGDBgQMyWIjMM7FtAiyD6xrIvRFWgRRLVBWwQR49aSZIk1Q60r8xMKCHBhgoDqltJzKGd0MiRI2N7zGwZ+kkGf2bGPo+p6Xbaaac4f6GlaWpLpdL2BpMkSarN6lf3AajuW2yxxWK5MZnutKVhcZuFea6fNWtWzH6nPyjBhKpAa6Gnnnoq/n9mQIBgwYUXXlh8v4qiuoB2RJXViogsJjLyS8N5Y9LVo0ePrLd369YtBkuYzBAwYXNoqh8IQNBzNrHhhhuGY445JrYl6tevX6y2qGwEPtjsWJIkSbUHST20AyURpX379qFx48axheXLL78cx5Qknlx33XWxkphqWJJVqEJ499134zh/ypQpcf8y5gC0pfz7779DixYtYhsiKhRqupNPPjlWR1MJQdLNkksuGW688ca43wFBg1z7ikmSJNVWVhZooWATMDJyyF7/3//+FwYPHhw31qUkmSz66dOnV9lrJ0GApO1QZrAgGeQvSLAgqS4gaLCwEARgosLELRsqHXhPd955Z9zkmfPNJI6gRqbzzjsvrLzyyrEtERlklY3KAioMJEmSVHvQzpP2Q4zjSf4YNGhQmD17drj22muL98gi+57EHNp5EkDgesb4SSvSJMmF+11zzTVhyJAhMWmoPHseVBcSbHhvtAa94IILYjVE3759wyGHHBJvb9iwYXUfoiRJUqWqV+QOTpJqODLT2JuhVceuoUHjJtV9ODXG7CkTq/sQJEmqNeMI+uqzMa+0oEgSYj8uEnJybZRc1vex7bCTQ8MWzfwwJElSmHXIwBozrrWyQJIkSZKkLObPn5/29++++y7ceuutsYK3vIECSZKkms49C1Tr/PXXX7FHaGloB9SoUaNQ3b766qtSb+cYF2bronyQIcWlNCussEK1TI4eGn25GYGSJElaaLbccsvYUpNWRPPmzQs33XRT+Pnnn8OZZ565QM87uVcfx7WSJKnGMVigWmfGjBllbpY7ZsyYuFlvdWODt9LQ83Ts2LGhJhk+fHiZGzWzIV3r1q0X2jFJkiRJ1aFbt25h4sSJYfTo0XGvs4022igGDNi0WZIkqa4xWKBahw19p06dWup9ako/2rKOs3nz5qGm6dOnT5mbPbMZsiRJklTXsbExF0mSpEJgsEC1TtOmTUOXLl1CbVBbjjNV27Zt40WSJEmSJElS4XCDY0mSJEmSJEmSCpzBAkmSJEmSJEmSCpzBAkmSJEmSJEmSCpzBAkmSJEmSJEmSCpzBAkmSJEmSJEmSCpzBAkmSJEmSJEmSCpzBAkmSJEmSJEmSCpzBAkmSJEmSJEmSCpzBAkmSJEmSJEmSCpzBAkmSJEmSJEmSCpzBAkmSJEmSJEmSCpzBAkmSJEmSJEmSCpzBAkmSJEmSJEmSCpzBAkmSJEmSJEmSCpzBAkmSJEmSJEmSCpzBAkmSJEmSJEmSCpzBAkmSJEmSJEmSClz96j4AScrXrv0HhQaNm9SpEzZ7ysTqPgRJkiQtZD3uHRcavtjM8y5JUh0x65CBoS6wskCSJEmSJEmSpAJnsECSJEmSJEmSpAJnsECSJEmSJEmSpAJnsECSJEmSJEmSpAJnsECSJEmSVOv069cvtG7dukKP5XE8XpIkSf/HYIEUQqhXr15el2nTpsXz9fPPP4dzzjkntG/fPjRu3Dg0atQorLfeeuGUU04JX375ZfE5ZQKS+vgmTZrEx1x22WXhzz//zPvcf/LJJzmPaYsttkh7PY4nXz/++GNo2LBhfJ533nkn5/3++++/MG7cuNC1a9ew/PLLh8UWWyysuOKKYccddwyjR48u8V5+/fXXMHTo0HhOllxyybDccsuFDh06hOOPPz7t/EiSJKn2Gzt2bKlj6BdeeCHUdG+//XY4++yz47hbkiSpUNWv7gOQaoJbb7017e8sjE+dOrXE9euss0746KOPQpcuXcJnn30W9t5779C/f/+w+OKLh7feeivcdNNNYdKkSeG9994rfkyDBg3CjTfeWLw4f88994STTjopvPzyy2HChAnlOs79998/dOvWLe26FVZYIVTU3XffHSdwK6+8crj99tvDeeedV+I+8+fPDz179gxTpkwJHTt2jMe+0korhe+//z5Mnz49HH300eHFF1+M7x1///132GabbcK7774b+vbtGwYMGBCDB7NmzQrjx4+Pz9W8efMKH7MkSZJqpmHDhoU2bdqUuH711VcPNc3s2bPDIosskhYsIBmoc+fOFa5WkCRJqu0MFkghhN69e6edB7KfCBZkXv/PP/+EnXbaKcybNy9WGWy11VZpt59//vnh4osvTv8hq18/7XlYXN98883DnXfeGUaMGFGuhfONNtqoxDEtiNtuuy0GH1q1ahUX8rMFCwYNGhQDBSNHjoyVAalOPPHE8P7778dzlbjvvvvC66+/HoMPBxxwQNr9//jjj/DXX39V2vFLkiSp5thll13CJptsEmoDEnokSZKUzjZEUjlQFfDmm2+G008/vUSgALQZImBQGjKYyFhCdZY5UxnxzDPPhP322y9ePv744zBjxoy0+3z++eexKmLnnXcuEShIrLHGGjEAkvjwww/jn506dSpxX1oecY4kSZJUWGhRyTj4iSeeSLs+qdJljA0Scqh8JbHmtNNOixWwtLXs0aNHHJuW5bfffosJLS1btowBgbXWWisMHz48FBUV5dyzgDZKVAxju+22K9GC9JVXXokJQ7TjpP0o1ROHHHJIpZ0bSZKkmsLKAqkcJk+eHP886KCDFui8JQvq9PIvj99//z18++23adctvfTScQ+B8rrjjjvixGu33XaLk57VVlstVgPQaijxyCOPhH///bdc1QxUKSStnM4444w40SqPr7/+OnzzzTdp133wwQfleg5JkiQtfD/99FOJsSpjQca8jAsfeOCBcOihh4b//e9/YamllorVqzfccEM499xz475eqUjA4bHsCcb4kCpXWoG+8cYbceyaDQEBggpPPfVUfB32zOI1Bg8eHObMmRMuv/zyrI+jheZxxx0XrrzyyhigoPUo+JPXZp8uWn+eeuqpYZlllokJP/fee2+Z58NxrSRJqm0MFkjlwCbALM6TqVQeyaSJCdRdd90VW/VssMEGMdOpvBlZXFIxGUoqFcqDwMDuu+9ePNnad99942bFV1xxRWydBPYdABsVp6KVEJs8Z04Csccee8T3ddZZZ8V9DMjO2nrrrWNQgk2Ry3LttdfGfrGSJEmqXVjMz0R2P60oSW4hmWTjjTcOJ5xwQrj00kvjgj5ti1iEz8T+WIy9CSok7Tj32WefGFxgYT9XYs+TTz4ZW2tSCYxjjjkmVg0wxj322GNjgkymtm3bxvEqwYKuXbumja0Zt//www/hscceS2uxlK19ZybHtZIkqbYxWCCVAwvkyYQlX5RCZ25CTPZ+5ubJ+aBMOymRTmRmYeWDzZjJ6LrwwgvTNk++4IILYvbVrrvuGq9LAgKNGzdOe/zDDz8cNypOUKHAJsYg+MCGx2SDERihrJsLZee0K6IMvLQesdwn8z1SWUAQQpIkSTXXNddcE9Zcc8206xZddNHi/ycBhaSQIUOGxPEoCTUswieJKqn69OmTNu7ea6+9QrNmzeI4NFewgNt4vczbaUs0ceLEWDVLwKA8qCTAgw8+GMfd5anodVwrSZJqG4MFUjnQb/+jjz4q1zmjTz8l12CRnB6nq6yySoXOO/sDZMvYqsjGxizwk0WVtPjhOOndSsVBEixIJmhJICDBfgTJpsZkhT333HNpt1N9cckll8TLp59+GnvTEiS4+uqr422lZWJRfZBPBYIkSZJqls0226zMDY5pCTRhwoTw0ksvxUSVddddN+e4NxWVrKuvvnqpe34x7mzevHmJ5J6krRC3l9e2224b9txzzxjkoI0RVQcksRxwwAFlbpLsuFaSJNU2bnAslcPaa68dWwnls7laguwmFvi5UN5c0UBBZaGXK/sVUPHA5IyJWHJh8nX//fcXBwd4v5g5c2bac1ApkbwnMrzK2sOADeAIKJCZRTBCkiRJhYnEm/fffz/+P5WuNR1BCqoSnn/++ViVwN4HjG1pp5SZUCNJklTbGSyQyqF79+7Fmfm11fTp08MXX3wRhg0bFu6+++60C3sWsIkyvVmxyy67xGBHZSzwN23aNPaInTt3biW8C0mSJNU2//33X+jXr1+s1mUjYRJYcm0UnAQUUhNeqIilEra0JJUvv/wy/PLLL2nXJ/twcXtpQYHSbLHFFrHN5iuvvBLHxrNmzYoVEpIkSXWJwQKpHOiVuv7668eJAtlFmZiYJJup1VRJCyJKwHk/qZfDDz88VhgkwYFVV101Zk7R35UWQtkwcUv15ptvFm/onIqy77fffrvcmzpLkiSpbhgxYkSYMWNGTFA599xz4z5eRx11VNaxI5shpy76k91P0gnJLLl069Yt/PvvvyXGrbQPIhhQ2mMZH+PHH39Mu57NjTPHux06dIh//vnnn2W+Z0mSpNrEPQukcmBDM7KfaL+zzTbbhH322Sf27+d6sovGjx8fM+gJJlSXv//+O+ueAMsuu2w49NBDwz333BO6du0a9yjIpkePHuGKK64IX3/9deyzOnLkyPDxxx+HAQMGxOwpqiu4nkkdrYXYjyE1AMBeBkOHDo3PQwYWmyNTbn7zzTfHCdXZZ59dpe9fkiRJ1YMEkySLPxVBAcaBZ555ZqwsSKp1x44dGxfe2Qj4rrvuKjF23WqrrcLBBx8c5s2bF8ek7FlAcksuPO92220Xk3dor8mGxGygTJvNgQMHxirXXDgOKmovvvji2HaU/Qi23377OL6/9tprQ8+ePePjCWDccMMNsTqC4IQkSVJdYrBAKicmKW+88UbMUJo0aVJs2UNJNdcfdthh4bjjjqvWc/rXX3/FiVgmJjcrr7xyzJZKJmjZcNtll10WAwO8lyWWWCI8+uij4dZbb40XNi3++eef4/4DTMCYPPXt27f48WwAxySKidmTTz4Zvv/++xhAYcO7E088MU7gJEmSVPecddZZWa+/8cYbw6hRo8Lyyy8fF/0TVLReeOGF4fjjj4/BAhJxErQpeuutt+LtjC132GGHOO5kbJrLIossEiZPnhyP48477wxjxoyJbYsuvfTSOA4tDePk66+/Pr4eCTZUKDz11FNxg2M2Y2ZsTNBi6aWXjuNaKnHbtGlTofMkSZJUU9UryqyplKQahqqN9dZbL7Tq2DU0aNwk1CWzp0ys7kOQJKkgxhEzZ84M7dq1q+7DURmmTZsWk0vYT4s2mXX1+9h22MmhYYtm1X04kiSpksw6ZGCdGNe6Z4EkSZIkSZIkSQXONkRSNbcMok1PaSh1btSo0UI7JkmSJEmSJEmFx2CBVI1mzJhRZg9/eq2yEZxCeGj05bYPkCRJUq03uVcfx7WSJKnGMVggVSM2CJ46dWqp97G3riRJkgpF586dg9vqSZIkVQ+DBVI1atq0aejSpYufgSRJkiRJkqRq5QbHkiRJkiRJkiQVOIMFkiRJkiRJkiQVOIMFkiRJkiRJkiQVOIMFkiRJkiRJkiQVOIMFkiRJkiRJkiQVOIMFkiRJkiRJkiQVOIMFkiRJkiRJkiQVOIMFkiRJkiRJkiQVOIMFkiRJkiRJkiQVOIMFkiRJkiRJkiQVOIMFkiRJkiRJkiQVOIMFkiRJkiRJkiQVOIMFkiRJkiRJkiQVOIMFkiRJkiRJkiQVOIMFkiRJkiRJkiQVOIMFkiRJkiRJkiQVOIMFkiRJkiRJkiQVOIMFkiRJkiRJkiQVuPrVfQCSlK9d+w8KDRo3qTEnbPaUidV9CJIkSaqFetw7LjR8sVl1H4YkScrTrEMGFsS5srJAkiRJkiRJkqQCZ7BAkiRJkiRJkqQCZ7BAkiRJkiRJkqQCZ7BAkiRJkiRJkqQCZ7BAkiRJklQpxo4dG+rVq5f1cuqpp3qWJUmSarCCDxaUNpjdYostct6Wejn77LPjyWzdunXa9SuuuGLYeuutw6RJkyr04Xz44YfhiCOOCG3btg0NGzYMTZo0CZ06dQpXXHFFmD9/ftp9//7773DllVeGTTfdNCy11FKhcePG8f+5jtsyJcfapUuXrK99ww03FL+PV155pfh63ivXLbLIIuHzzz8v8biff/45NGrUKN7n2GOPzfrc77zzTryd9/Tjjz9mvU/nzp3jfbp3717itk8++STeNnz48OLrpk2blnbuGzRoEFZaaaX4PBdccEH45ptvQkVkftZ8Bttuu2146KGHyvVd4vLCCy+Efv365fWd4n417buSfO7LLLNMWH/99UP//v3Diy++mNd5S70ceeSR5XpvkiRJqn2GDRsWbr311rTLfvvtV92HJUmSpFLUL+3GQhvMtmnTJu26uXPnpi14v/zyy3FB9bTTTgvrrLNO8fUbbLBB8f936NAhnHjiifH/v/zyyzBq1KjQq1evcN1115VrkZTF6L333jsuevfp0yest9564a+//grPPvtsGDx4cJg1a1YYPXp0vO9vv/0Wdt111zB9+vSw2267xYVmFnUfffTRcPzxx4d77703Pt+SSy6Z9hosKj/11FPhq6++CiuvvHLabbfffnu8/Y8//sh6fBzXHXfcEU4++eS063mtstx2223x9X744YcwceLEcNhhh+W874MPPhheffXVsPHGG4d8HHfccXHh+99//40BghkzZoShQ4eGESNGhLvuuitsv/32oby6du0aP4OioqLw6aefxs+SIMYjjzwSdtppp7y+S1h99dXjgn5qgObjjz8OZ511Vlx4J7CUWG211WrUdyX1e/3LL7/EgM/dd98dg0qDBg2K5zfXecu05ppr5v3eJEmSVDvtsssuYZNNNgm1GWPnzHGxJElSXWawoByDWRbPCRawCErGejYtWrQIvXv3Lv47i6UsEl9++eV5BwtYQCbrplWrVuHJJ58MzZo1K77tmGOOCR988EFaZvsJJ5wQF3+vuuqqtODGUUcdFa655pp43UknnRQXuVOReU4A5M4774wLxYkvvvgiPPPMM6Fnz57hnnvuyXqM3bp1yxosGD9+fFyMzvU4Fty5zwEHHBDfJ0GJXMGCVVddNS5Mn3POOWHy5MkhHyy477XXXmnXvfnmm2HHHXcMe+65Z3j77bfTzmc+WNxO/Ux5nnXXXTdm7WcLFpT2XVp++eXDlltuWfx3qjYIFnBd6mvka2F9VzK/17j44ovj58h3e4011ojPUdp5kyRJkqg0JZknqc5OrWZljkW1bnK/0sbAVBtvt912WW9nbMztCZJ8qDZ+7bXXYqLMNttsEy655JLQrl274vuQREMiE3OHAQMGxPnQDjvsEO67777w/vvvxxZKzz33XKyMZky/1VZbxcSwpZde2g9VkiTVGQXfhqiqkUFPFQID2nwxcP3111/DTTfdlHVhm+BDsrjPwj73I2M+W9sfFowZRN94443xvpnBD6oeWLxPRRCgadOmWRfCEywSv/HGG+Hdd98tvo4KBRasuS0XBtgM3Fng5vL000+XOK4ELXLIWn/ggQfiwL6i2rdvH0aOHBkH9ldffXVYUHyeTBBo/VPdFtZ3JRvaTVFOvuyyy4bzzz8/BoIqw9dffx2rIVIvBD0kSZJUe/z000/h22+/TbuUR2YLIy4EARiD0kaTMXnm7STELLbYYrEdbOrzkMzEY0h2OfPMM2MCEYv9qQEF/PPPP3EOxONpeUqSEBW7XEdLUYIIJNhQFfzRRx/lbKmacFwrSZJqGysLMgazqVgQXlD0gKe3/3LLLZf3Y1gcp/d8x44dy7wvWTK03MnW7iXBbbQbotVMZhY/C/tk3bPwnbS+IXhAdj4D7VzIxllllVXifWm7AyoUGIQzGM+FSgJeh1ZBtMtZYoklYnCCdjnZsNBN5jqZR/lWF2TD+zn00EPDY489Fhe2F/S7QgulXK2Csn2XyIwqz3egJn5XsuHzpgKFIASTrtTsLFpYZZsUsp/C4osvnvM5r7322lhNIkmSpNor295o5UkuyaxQvfTSS2NL0HHjxhXP01Lvw3P36NEjtuZMqhNIqqFNKePapC0n+vbtG9Zaa61YbZB6/Z9//hnbe1544YXF15EgReIXLThTK5ipDi6L41pJklTbWFmQMphdYYUV0i4VDQ4kmTNvvfVWXHydN29eHHTmgw2C58yZEzeQzQcLtEn2fC7JbfSZz0SWOdUPLNgn92FAXFp1QLL4TWVA8rgkEEClAgP0XOeGQXaysRlZQQzoeVwuLCwPHDhwgasLCHzQFqci1QDJojd7ILB/AsfPontmu6PSvku08alsC/u7kgtBH2SeWwIImeeBS1n7Whx99NFh5syZaRfKvyVJklR7kIE/derUtEtFkcwyZMiQmNl/0EEHZb3PueeeG/c7I1BAy1DwmmT/77///mkVDosuumjYfPPN4/NmymytmbQZmjJlSvj999/LddyOayVJUm1jZUHKYLYyNl4lcz010MBAlAEtJa/5LgAnLXjyQU//su6f3JY8dyqOb5999omL/meccUZcuG/ZsmXs/U9pbWkIKFCey74HtC3iT7JzSsts/+677+JgPcH/s1kwrWZSs9IzqwtoI0S2+f333x8qiiz45HyVB4veXFIDD+zVQP//fL9LnOfKtrC/K6Wd19TnT+y+++5Z2x2VFdyg7Du1dFySJEm1z2abbVYpGxzTHnPfffeN+62NGDEi632oimWuQECB1kEJ9hpIEqRyJSalql+/fqyeTtWmTZs47ue1mSsxTyLhiaqGsvYrcFwrSZJqG4MFlTyYJUPlvPPOi5n3tNihl+YyyyyT9+OTAWu+i9rJ4m5p9y9rkZhFfzZuZjMv2gqROV/ahmKJDTfcMKy99trxMbxHKhRyDcRx2223xcE2lQdJD3pa+XCeGHjnCjQwCKe6gI3QXn/99RiYqAjKkPNdWM+26E2/0iQgQlYRm6NV5XepJn5Xcp3XbI9hopWt/FySJEnKROVuJsbfVPMyf7jrrrviYn4mWgQdeOCBoWvXrnEeluq///4r3reAuUqmzOfjdbKN8S+77LK4ATKJSySH0dqIVkXsY5AZXJAkSarNDBZUMvpnLsgCKQvAzZs3j61X8kEwArQ86tChQ9b7cBuSctxsAQ4W7VmQZ7BdVguiVNz3uuuuiwvFZPzkWkAnU51WQrT0WWONNUrcTsCBvQRyBSmSvQvIGKLKoLxogfTee+8Vt8wpj9RF727dusXPmOABmwHTdqm6VMd3JZvk9dlMWZIkSSoNiT+ZGwMTFJg7d26J+7IoT4vUp59+Oqy00kolbp8/f34cj5O4RKV05lwk2WOMDP8FTWKhOpYL1dgzZsyIlQ7XX399iQCFJElSbeaeBTXQbrvtFvu/P//882Xed5dddoktbsiWyYVNwMia2XnnnXPeh3ZA06ZNiwvKuRaScwULGNizEF9akIE+9QQKCCywb0HqhQE2m5U999xzOR+fVBeQzUN1QXlNnDgxTiZ22mmnsKCOOOKIOPFgolCeTdrqyncls6pg0qRJsXVVEoyQJEmScmEczeJ/KjYZzqwsGDNmTBg1alRs8UnlbjZHHnlknIcwHs1WfczYnwQbKoNJHsrEnmRlIenpn3/+SbuOoAGBCTZEliRJqkusLKiB6IdPW57DDjssPPnkkyWyaFgcZvMusu1ZpD344IPDjTfeGBfiMzfkItuF52CBu7QSWV4r2eirvIN9Mv1ZiM81iE9aELVt2zYO6DMxyL7ooovie95qq61yPgfBAl5r2LBh5TpG2ivxWCYQxxxzTFhQLKafeOKJccMyghd77LFHKKTvSoLPnP04vv/++zgBy6d1lSRJkgob41bmBOwtQOsgxupsHkz1boJNiBlrU+1KayDmEql69uwZE51IdOF5qI5NKmSTPbUYoxMoYNzLmHWjjTaK7VbZX+6zzz4LDz30UKwOuPrqq0s9XsbHVBXvvffecV8yAgck3zB3St0fQZIkqS4wWFADsQBPWx7a+pCt3adPn9g+h/JcSl7JxqdnZoL2PO+++24cULO5V5IVzqCbxextt9029tksTatWrcLZZ59doeNlIbo0X375ZXjqqadiGXE2TADI+uF9sXcCGwjnqi7gtWhFlMszzzwTKxjITGIzZaoVJk+eHB9LxlG2XqUVwfk/66yz4sbVmcECNnLm88jUsWPHGDCpjd+VOXPmFE/SqCZ4++2343N/9dVXMXBCgCETWV6ZEzsQ0GBiKEmSpMJz+OGHx9anN910UxyPsmHw1KlTww477FB8H8abjOkZc7LQn4nHJ1UB99xzT7xkzm2SMTrVz7TuJDnp0ksvjYlKLVq0iK9LIk1Z2rdvH+cqtFRlTMx+a1zHmH+LLbaohDMiSZJUcxgsqKF69OgRs2MY0LKIS0YMi+obbLBBXMxlkJ2aOfPEE0+Ea6+9Ni7ODh48OLbHYfNhMvFZGM61AL8wTJgwIW4u1r1795z34TYG+Qy6ee9lVRf89NNPWW8n2ADeL71LWUAnuMD5IouosjRq1ChmGBFgIaupc+fOxbcRRMiGUurKDhYsrO8KvWKZqFE9wP4UVCnwmZEZlquihEkfl0wEJAwWSJIk1U0kqqQmq2SifQ8L91xSffLJJ8X/37p16zLbfZb1OqkYq6eO17MZO3ZsvGRq06ZNDGxIkiQVgnpF1d10XZLKMGvWrFgx0apj19CgcZMac75mT5lY3YcgSZLyHEfMnDkztGvXzvOlGvF9bDvs5NCwRTM/DUmSaolZhwwsiHGtGxxLkiRJkiRJklTgbEO0ENF7k0tpaJXDZlmqOuxnkPQ4zYV2PVyqi9+V7B4afbkZgZIkSar1Jvfq47hWkiTVOAYLFqLhw4eXujlvslkXPTpVdT7//PPYe7Q0Q4cOrfCGz5XB74okSZIkSZKkhclgwULUp0+fsNVWW5V6n5VXXnmhHU+h4hxn23g3VVVsRFweflckSZIkSZIkLUwGCxYiFqCrexFaITRs2DB06dKlRp8KvyuSJEmSJEmSFiY3OJYkSZIkSZIkqcAZLJAkSZIkSZIkqcAZLJAkSZIkSZIkqcAZLJAkSZIkSZIkqcAZLJAkSZIkSZIkqcAZLJAkSZIkSZIkqcAZLJAkSZIkSZIkqcAZLJAkSZIkSZIkqcAZLJAkSZIkSZIkqcAZLJAkSZIkSZIkqcAZLJAkSZIkSZIkqcAZLJAkSZIkSZIkqcAZLJAkSZIkSZIkqcAZLJAkSZIkSZIkqcAZLJAkSZIkSZIkqcAZLJAkSZIkSZIkqcAZLJAkSZIkSZIkqcDVr+4DkKR87dp/UGjQuMlCOWGzp0xcKK8jSZKkwtPj3nGh4YvNqvswJElSFrMOGViw58XKAkmSJEmSJEmSCpzBAkmSJEmSJEmSCpzBAkmSJEmSJEmSCpzBAkmSJEmSJEmSCpzBAkmSJElSXurVqxeOPfbYSjtbn3zySXzOsWPHFl939tlnx+sWts6dO8eLJElSoTJYoKwYrDNATy4NGzYMzZs3DzvttFO48sorwy+//JJ2/2RAv9JKK4Xff/+9xPO1bt067LbbbmnX/frrr2Ho0KFhvfXWC0suuWRYbrnlQocOHcLxxx8fvvzyy7w+GQbzqceZ65Lv/XgfuY53QTz88MPx+TmH//33X9b78JrcZ8CAASVumzZtWrxt4sSJadf/73//C3vttVdo1apV/IxatGgRunbtGq666qri+6y77rqhffv2JZ5z0qRJ8Tm33XbbErfdfPPN8bbHHnss6/ch8/LCCy8UPzbztiZNmsTXeOihh8p51iRJkrQw5TO2lCRJUt1Vv7oPQDXbsGHDQps2bcLff/8dvvrqq7hoPXDgwDBixIgwefLksMEGG6Td/+uvvw7XXXddOPHEE0t9Xp5vm222Ce+++27o27dvXCAneDBr1qwwfvz40LNnz7iwXpbTTz89HHbYYcV/f/nll2Mw47TTTgvrrLNO8fXfffddXvfLfD+V5fbbb4/BADKnnnzyydClS5ec973hhhvCkCFDynz/M2bMCNttt11YddVVw+GHHx5WXnnl8Pnnn8eF+yuuuKI46LDVVluFm266Kfz0009h6aWXLn78c889F+rXrx/PBZ/HYostlnbboosuGrbccsus34dMq6++etrfmVT26dMnFBUVhU8//TR+J7p37x4eeeSRGHCSJElSzZLv2FKSJEl1l8EClWqXXXYJm2yySfHfWcRmsZus+x49eoR33nknNGrUqPh2KgMuvfTScPTRR6ddn+m+++4Lr7/+elxEP+CAA9Ju++OPP8Jff/2V1yfDonQqMqAIAnB9aSXE+d6vMvz222/h/vvvDxdeeGEYM2ZMfM+5ggXt2rULs2fPDhdddFE8vtKcf/75cfGfxf5lllmmRNAmQbCAAAQTQD7P1IDAPvvsE4Mzr776athiiy2Kb3v22Wdj4GSppZYq9fuQy5prrhl69+5d/Pc999wzVjgw0TRYIEmSVPPkO7aUJElS3WUbIpXb9ttvH84888yYMX7bbbel3XbWWWeFefPmxUzy0nz44Yfxz06dOmVdyKd1TV1Bu5/58+eHvffeO+y3337h3nvvjQGRbKg+ICOfxf2yWjFxDgkuZE7msOKKK6YFC5LgQILXf+2110KvXr1C27Zt02775ptvwnvvvVf8uMpA9cbyyy9f/LlLkiSpZsl3bJma/EM70QYNGsTHPfrooyXuM2fOnHDIIYfEVqXJ/Wh3WVHMPTbbbLOwxBJLhKZNm8ZK5aRtZuLaa6+Nr8PrUal7zDHHhB9//LHEc40ePTqsttpqMcGJ53zmmWeyvuaff/4ZW6dSSctztmzZMpx88snxekmSpLrGYIEq5KCDDop/Zg7Ot9566xhMuOSSS+ICeS70QcW4ceNiq5q6jEoCSrop5SZYwH4PDzzwQKmtlf75559YXVAaziEVATNnziz1fgQDmChRLZAgY4zqjY4dO8ZLarCACgRkCxbQyujbb79Nu9DiqSw87ocffoiTurKQuUY7qtTLBx98UObjJEmSVHH5ji3BuJJKYsa2jPtJRKGSNHVcSAIRlauPP/543BCZClMW3A899NAwcuTIch/fOeecE+cgtM6kNSZ/Z+GequcE+48RHGDse9lll8VjGjVqVNhxxx1j280ELTqPOOKIOD7n+Elgomqatkup2GuM64cPHx5barJ3wx577BEuv/zysO+++5Z5zI5rJUlSbWMbIlXIKqusEsuUs2WKk3nDhrbXX399GDRoUNbHM8hea621YiUCg3UW0wk00N4oW+ZSbcUEgQlSUmlBD1j2ASCAQKVBrsV9JkLJ3gXNmjXLer+TTjoptgWi9RPZUJy/HXbYIZ7L1P0HwATowQcfLN6bgOAAew/w3AQLko2dkQQVsgULsrVPIsMqs1KCvxNIIBD02WefhTPOOCP8+++/ccO8spANxuRPkiRJC095xpa0In377bdjZj64T/v27cMdd9wRAwNJAgzjPzZNXm655eJ1Rx55ZNh///3j2JPF+tLalqYicYQAAfuaTZw4MSyyyP/lvCWJR1TH0vaTwAD7ZCX3WXvtteMxUZVw8MEHx/Ew+5bxPp966qmw+OKLx/vRMrN///4xAJGgXSdj+enTp6eNjamo4L2QZMNYOhfHtZIkqbaxskAV1rhx45gln4lyYCYMpVUXMDF48cUXw+DBg+Pfx44dG7OMWLxm87S6UtY7YcKEOFEhqynBBIkJDJn2ubC4XlZ1AfstPP/88zHb6c0334znm/0AWrRoETefTsXkhs+CbDEQLEgmNgQSCGq8//77xbcRSMi2wfI111wTpk6dmnbhvWQiALTCCivEwA97HDzxxBOxXPuEE04o85yRpUZGW+qFMndJkiRVnfKMLUkgSQIFYK8r2oh+9NFHxQv499xzT8zG5/9Tq1J5TqpOaYmZL8aCZPmTaJQaKEC9evXinyzqUzk7cODAtPuwWTPH9tBDD8W/v/LKK3Hsy2J/EihAv379YjJUqrvvvju20yTgkPoeqKQGwYbSOK6VJEm1jZUFqrBff/01ZxUA2UJlVRcwGGcSwoX9D1hQpsT36quvjredd955tf7TSfqqUpKdlGVvuOGGcSLD5IPspdKqC+ileuqpp+Z8/k033TTugcDzMaljfwTKosngf+ONN2KGVOa+BZtvvnnMgkrOL5lRTKC4jUwqAgq5yqp5L/lscLz77rvHDC6Oi5ZHF1xwQfj9999LTO6y4TtVl6pLJEmSaot8x5ZUy2ai3WSSDEOWP/sEMJblkk15Nk2mmplxZPL62TCfANXLqQgIMLZObk/+XGONNdLuR/UE90tFMg1VFCTBVOQ9OK6VJEm1jcECVcgXX3wRM4LoO5oN1QWdO3eOgQCydvLpkcrmZ5QWM0inTU9tDxYwuWChPNtkBLzHXMGCpHT71ltvDRdffHFs21QaJkFM7risueaascSaYAQtoUBZ+FJLLRVbDHXr1i18//33xZUFTLwIIHAbGWJMDhd0c2PaVCUti3g9NjcmeEDFCZsqS5IkqeYqa2y56KKLZn1c0hKIKgD07t079O3bN+t9qUao6Xgf66+/fhgxYkTW21NbFkmSJNUFBgtUISxigzLiXKguIGDApmL5IiOJBet8Nlar6QgGkKHEucqcULEwf+WVV8Z+/tkys8B5YILF+WMxP19J5v/cuXOLr+P12WCO6gFem0oCJj4JAgd33nlncfBnQYMFmehJS1Ya7ZUICCXl4pIkSarZso0ty0ImPokq7FmQbc+r8mJczMI9+ySw10Cu5CPMnj07rUKARJiPP/64+DiS+5HYk7QTAnsZcD+SbFJflwoL9m5w/CpJkgqBexao3J588slw7rnnxr72Bx54YM770YaIYAGZ8Zkb4DLopt9nJsqCmQRklg/X1mABG8PR0ofS7dRLslcDm8CVhsV1Ji5UaGSiR2qSvZXq4Ycfjn9mnkMCAJSEjxkzJgYfUlsCESxgYnX//ffHDejozVqZ6tevH0488cRYxs1rSJIkqWYp79iyNCSqsGcX+xZkSwJiTFoeVNkydmWT46RqIZEcM8EAKiJIyEl9H+ylRUX0rrvuWhz8IJhBu1QCCQn2UKN1Uqp99tknzJkzJ9xwww0ljon9wH777bdyvQ9JkqSazsoClYrNa99999242e68efNioIBNbcnIYaOzhg0blvp4SpVpPZOJ5+A2NlAj453NktkQ7eabb46bG1OVUN0++OCDrK2Q2HMgmWzkwubNPJ7WO9mwUdxGG20UAwqnnHJKzudJqgtuueWWErexETT7AJCpz6ZrTHbYi4AKgdatW8dy8VRJtQAb12WeXz4DsqVeeOGFuBFdrsyp5PuQiWBDZo/XTGwax6Z0+bRVkiRJ0sJV3rFlWS666KIYgCBJhU2G2W+AVphsbMxmxPx/vqh+pUUnCUsk49DWskGDBrHlZ/PmzcOFF14YAwBDhgwJ55xzTth5553jPINkmGuvvTa2U2JMDSp/GeNT+UplAYk9VBSQUJM5nmUPsbvuuiu2VeW9dOrUKVZLMB7m+ilTpuS1n5ckSVJtYbBApWJxF2TpLLvssrF1zciRI+NkgdLislBZQIXB9OnT064n0+iXX34Jjz32WAxAMFmgBREb6JKBni3AsLAxuTjzzDNLXH/ooYeWGSwgCAAW3nPhNhbt33rrrVJ7tlJdwEbJTExSsRk0vWPJ9mLjOCZ0tDQ6+uij42OWWWaZEgEBMvwJ/CT7FSRoS8RGxxxLaS2Iku9DpmyTq0yNGjWKwRPe87Rp0+J3Q5IkSTVDeceWZVlppZXCSy+9FKsB2DSZRXsqWNu1axeTR8qL56Gy+aqrroqBgyWWWCKOoVnQTzDOJGhw9dVXh0GDBsX5C3uEXXDBBTFIkOA6xtaXXnpprPhljkMiVObYn2qG++67L7bTHDduXNzwmddl3Hv88cfH/RwkSZLqknpF2WpNJakGmTVrVgxmtOrYNTRo3GShvObsKRMXyutIkqSFM46gHQ4L1VJN+D62HXZyaNiimR+GJEk10KxDBoZCHde6Z4EkSZIkSZIkSQXONkSqsSh9LquX6dJLLx3b2yxMbGbGJmmloeSZ1k2SJEmSJEmSVBsYLFCNxYZqZe1dQK98Ns5dmNjkrawN3tgAzZ78le+h0ZfbPkCSJEm13uRefRzXSpKkGsdggWqs9u3bh6lTp5Z6n+roO7vTTjuVeVwcuyRJkiRJkiTVFgYLVGM1bdo0dOnSJdQ0zZo1ixdJkiRJkiRJqivc4FiSJEmSJEmSpAJnsECSJEmSJEmSpAJnsECSJEmSJEmSpAJnsECSJEmSJEmSpAJnsECSJEmSJEmSpAJnsECSJEmSJEmSpAJnsECSJEmSJEmSpAJnsECSJEmSJEmSpAJnsECSJEmSJEmSpAJnsECSJEmSJEmSpAJnsECSJEmSJEmSpAJnsECSJEmSJEmSpAJnsECSJEmSJEmSpAJnsECSJEmSJEmSpAJnsECSJEmSJEmSpAJnsECSJEmSJEmSpAJnsECSJEmSJEmSpAJnsECSJEmSJEmSpAJXv7oPQJLytWv/QaFB4yZVesJmT5lYpc8vSZIk9bh3XGj4YjNPhCRJNcSsQwZW9yHUCFYWSJIkSZIkSZJU4AwWSJIkSZIkSZJU4AwWSJIkSZIkSZJU4AwWSJIkSZIqRevWrUO/fv08m5IkSbWQwQLVWmPHjg316tULr7zySl73f/bZZ+P9uXz77bfleq1p06YVP5ZLgwYNwkorrRQ6d+4cLrjggvDNN99kfdz//ve/sNdee4VWrVqFhg0bhhYtWoSuXbuGq666Kt5+9tlnpz1vrguvU5HjXGyxxULbtm1Dnz59wkcffVTi/t99910YPHhwWGutteLxLbvssmGnnXYKDz74YIn7fvLJJ2nPvcgii8T777LLLuH5559P+0zKujCJlCRJqq0yxzz169eP4zwWyefMmVPdhydJkiRVSP2KPUyqXf77778wYMCAsOSSS4bffvutws9z3HHHhU033TT8+++/MUAwY8aMMHTo0DBixIhw1113he233774vty23XbbhVVXXTUcfvjhYeWVVw6ff/55eOGFF8IVV1wRj6dXr15h9dVXL37Mr7/+Go466qjQs2fPeFuCwERFjvPvv/8Or732Whg9enR46KGHYvCiefPm8T6zZ88OO+ywQ3wfBx98cNhkk03Cjz/+GG6//fbQvXv3cNJJJ4VLL720xHPvv//+oVu3bvEcvPfee+Haa6+N7/Pll18O22yzTbj11lvT7n/YYYeFzTbbLPTv37/4usaNG5fr/UiSJNVEw4YNC23atAl//PFHHOMRRCBBZebMmTERoxAxxiSpRJIkSbWPwQIVBBbLWahn4ZqF+oraeuutY6VAqjfffDPsuOOOYc899wxvv/12aNasWbz+/PPPD0svvXRcRF9mmWXSHvP111/HPzfYYIN4SVDxQLCA63r37l0px0kgYM0114wBhFtuuSUMGTIkBhG4/YcffghPP/102HzzzYsfO2jQoHDggQeG4cOHxwDCvvvum/bcG220Udqx8VpUF1x33XUxcEAlQ6ojjzwyXrcg70eSJKkmYgzEeAmMM5dffvlw8cUXh8mTJ4d99tknFCIqcCVJklQ7mfKhOu/7778PZ5xxRsz8yly0rwzt27cPI0eOjFn5V199dfH1H374YWjXrl3W11xxxRXDwpRUPHz88cfxz3vuuSdmvJ166qlpgQIsuuiiYdSoUfG4aZNUFoIFyfuVJEkqZNnGRe+++25M0qB9I9UGBBcIJmRiLEnSBu0aWXBfZZVVYivJ1PaZJJwceuihseqU52IcSjJIttaRJH6QMLPaaqvF56PqlCSWVLRNouKT1kl77LFH/P8VVlghVphSRZqK5+vYsWNYbrnlQqNGjcLGG28cJk6cWOaeBSSpnHPOOWGNNdaIx8zjt9pqqzB16tTi+3z11VcxwYX3zLGSfLP77rvH95K4//77w6677hqrZLkP7+vcc88tcZy071xvvfViEg/Vr0sssURsEXXJJZeUOFYqQhjvkljDsfG6VPemfn5UKDPWZ1zPfTj3RxxxREy6kSRJqmusLFCdd+aZZ8YWQAzqmVBUBSaATNwee+yxWFEA9imglz+L8kxYqlMy4WFyhgceeCD+yQQ0GyoimKAx+fzggw/SWiVlSiZxTZs2rZRjZRKcuQcExyBJklTTZY6LZs2aFTp16hQXq0nSoCUmrStZmCd5g9aTSStKAg3vvPNOOOSQQ2IlJ0ECggpffPFFrFiYP39+XAhnXHTsscfG9kd33313XJgn0HD88cenHcv48ePDL7/8EsfABA9YLGchnH2s2NcqwWI7e1aRQEJA4PHHHw+XXXZZXIyn4jVBdW6PHj1iBepff/0VJkyYEPbee++41xWL+LmwGH/hhRcWt6b8+eef455jtMpkLy9Qocu5ok0nwQbGgwQTPvvss+K9rmjxRDDjhBNOiH8++eST4ayzzorPl9k6k4X8nXfeOb5fKjwIapxyyilh/fXXj9UgyfvebbfdwhNPPBH222+/eP44X7wu43fePzh/vDbBDCp1Sb4hQej1118Pzz33XNq5zOS4VpIk1TYGC1SnvfXWWzFL/uGHH44Z81WFSQIZSalZSGRkMRnp0KFDnBgxAWSPADKcSptUVAYmOkwwyeRiIsPkh0kiEzGQaUVAgIBGLmSqgUlrarDg999/j8/NBOv999+PEzZktmeqKFoZkX0mSZJU0/30009xXESG+osvvhjHMGS9swgNxmDsX0VGf9Ke5+ijj46Z9SxeJ8ECFrtZoL733nuLrwPVsUVFRfH/qRJgXHbbbbfFBfuk3eO2224b70eQYamllip+LAvtjNWSwMVaa60Vk0GmTJlSfHzg2Gk7SYJN8pwEK2666aa0YAF7VVFRkCBgwf3Yu6u0YAH7ZrHfFcefDYEO9vriHDB+TtA6MzP4kfr6HCcXxo7nnXdeWvujL7/8MowbNy4cdNBB8e8k9TDu5T0lwQJuJ1DA8VPRkSCok5xz9p+48cYb455eBxxwQPF9GM8TjCBYk3p9Jse1kiSptrENkeo0sn+YELCnQFUjw4lF+gSZUlQWkIHFvgZkc5G1RWZZttLzysRkkRJyyrSZvLGpM1UCSU9djjN1MplNcjvZWqnY0JnnplojyYAj+6yyggVMoJksp17uu+++SnluSZKkytSlS5c4LmrZsmUcC1E5wDiPdjq0wiT7ncz2JJGDy3fffRfHhCzk0/4HVBmQqJEaKEiQ8AGSXxh/7b///sW3kYDCeJfKhOnTp6c9jgBAauVn0iKJyoJMLLqn4r6Z90tdqCdzn0AJ96NCoDS0tqRqgPebDc+7+OKLh2nTppXa2if19ZPzyeuTyEKrp8xxeep+WTw/yTup74lzTsUG1Qy5zjnBABJsGNcnnx8XWjDxGk899VSp791xrSRJqm2sLFCddeedd8YsJRabFwYmaZkL8PSGJUOMUm0CBpMmTQqXX355nEy+8cYbYd11162SY6Ekm8kT1RRMgtZZZ51Qv/7//bhznKn9b7NJAh+Z76l///6x5JwsNCbAV155ZYlesQuC/RwW9p4OkiRJFXHNNdfE6lIWzm+++ebw9NNPF2e40y6IDHUy9pOs/WxtakgkoTo1qQDN5dNPP419/xdZJD3fi3FecnsqKhpSJYGDzAV5+vAT8Mi8b+b9aDdEBj9j2D///LPEwnou7BtGRQPnidacZOST8b/BBhvE2zlfbAp94oknxv0Atthii1j5QLtMgiMJAg5UUDD+zExm4fynIliTeVy8J6qOE5xzqi1Sx8iZCHDw3LnGpnx+pXFcK0mSahuDBaqzBg8eHBe1ySRK+sdS5ozPP/88LuCTeV8ZaPdDaXauvQk4BgIHXJgo0fOUTCWy9KsC/VjJdMuFSSUTPcrTMyeSiWQylRnQYJKaPDcTOQISlGtTjp1ULkiSJBUCstWT8Q/7ENBeiLY0s2fPjhvjgtY6VBJkU9q+UAsqVwvOpMVOWfdL9cwzz8Rq2W222Sa21mEjYKoaxowZE9sDlYbHsDDPBsXs70VbH5Jnrr/++riPAQYOHBi6d+8eq0lpk0RwhX0OCAxsuOGGcQxPu6UmTZrE4AP7CRDkoKqBdk7JuS7vey8Lz8uCP22IsskMskiSJNV2BgtUZxEQYPKSbQJDf1VKvVkwrwxsmsamc7kmgqmSCeXcuXNDdWGR/4477oi9WsnQykS2FhO6tddeu8xJ7Omnnx5uuOGG+DyPPvpoFR61JElSzcUCNQvcJFCwAS5tIcGiemlJHGDxu6xqWHruk8zBAnZqdUHSgqe0vagWFC17WJxnIT91bwCCBflYdtllY7IMF6pxCSCw8XESLEjOAdUFXMjoZ98vWl2yRwMtimjfRMUuj02w2XBF8XrsM0HST679xLgPGz6zSXVqGyRJkqS6yj0LVGfR8ifzQu9WsEhORlNloL0Q2VCUNh9zzDHF19PDNFv2Ev1mQdlzdaENEhUDF110UXjllVfSbmMCymZ2lJ7nU/lAH9ojjjgiTh4rK/giSZJUG3Xu3DlWG4wcOTJmwfP3UaNGZU0S+eabb4r/nxZEScvKTMl4kk2Cv/rqq9hqM/HPP/+Eq666KvbPJ/O+KgMhtPVJbT1J5W4++0qxyJ+KYyUZJWllxJ4DtLfMXKSnFWZyn6RSIHVsTZUwVQ4VxTmnLSeBnUzJ67DfBO/53HPPLXEfzn1StSxJklRXWFmgWo/+sNky2o8//vgS/faTxWw2PaaXf3lRgs1khkkDE5/nnnsubmLHxmdM7lL7qrJZGpMfNqojQ58JDXsoMMFr3bp1zKyqLrRFohpihx12iOXyHAsVD0x4qMSgpJusrv322y+v5+NcMykm+DBhwoQqP35JkqSa3gpz7NixcU8Dxlq0iDz88MND27Ztw7x588Lzzz8fvvjiixggSB7D2IzHUZHABrpskMw4k3Y9VMSybxSBh379+oVXX301jid5DONRxmGZ497KtOuuu4YRI0bE/QZos0Svft4bi/6p+wBkQ4IKQRPeExUGJKpw3Mcee2y8nVaejElZmOe+7CHAuJrzlIxFO3bsGBNz+vbtGzd0JnBx6623lrutUCr2RCCB6IQTTggvvfRS3O/rt99+i5UEbEzMPgsEYEiKoWKEecSOO+4YqxCofKCl6BVXXBGTcCRJkuoKgwWq9a677rqs1zORquxJE5v5gkkCGfX0/j/nnHPi5C+zZ+nw4cPjJIJKgtGjR8dgAfsDMPmgZQ+Pr04cOxNUFviZiFJGTnk1QQP+Tt/YfLH3AxNHJm30pCUbTJIkqRD16tUrjoUYCzJGZHGc8SLBA5JN6IFPH/6zzjorLduepBSqOlkov+WWW+L9WERns14wTqMdD3tFcTttI6lUZQzHuLcqbb/99uGmm26K40Yqatu0aRM3Jaa6oKxgAYv7jC3Zr4BKAdolsVEyARK0bNky7L///uGJJ56IY0mCBSTa3HXXXcWbPi+33HJxg2WSWRhHEzjo3bt3PD/5tAHNhmoFxunnn39+TJah1RKvkwR3EgRrCHQQqDnttNPi8RGo4fVpTyRJklSX1CtakHQMSVoIZs2aFTePbtWxa2jQuEmVvtbsKROr9PklSVL1jCPYE6Bdu3aeftWI72PbYSeHhi2a+WlIklRDzDpkYKjpFsa41j0LJEmSJEmSJEkqcLYhUkGbP39++Omnn0q9D71V6fFfnWrLcUqSJEmSJEmqnQwWqKCx2XBZGw0/9dRTcVO26lRbjrOqPTT6ctsHSJIkqdab3KuP41pJklTjGCxQQWNDtKlTp5Z6n/bt24fqVluOU5IkSZIkSVLtZLBABa1Zs2bxUtPVluOUJEmSJEmSVDu5wbEkSZIkSZIkSQXOYIEkSZIkSZIkSQXOYIEkSZIkSZIkSQXOYIEkSZIkSZIkSQXOYIEkSZIkSZIkSQXOYIEkSZIkSZIkSQXOYIEkSZIkSZIkSQXOYIEkSZIkSZIkSQXOYIEkSZIkSZIkSQXOYIEkSZIkSZIkSQXOYIEkSZIkSZIkSQXOYIEkSZIkSZIkSQXOYIEkSZIkSZIkSQXOYIEkSZIkSZIkSQXOYIEkSZIkSZIkSQXOYIEkSZIkSZIkSQXOYIEkSZIkSZIkSQXOYIEkSZIkSZIkSQWufnUfgCTla9f+g0KDxk2q9ITNnjKxSp9fkiRJ6nHvuNDwxWaeCElSnTTrkIHVfQiqICsLJEmSJEmSJEkqcAYLJEmSJEmSJEkqcAYLJEmSJEmSJEkqcAYLJEmSJEmSJEkqcAYLJEmSJEmSJEkqcAYLapH//e9/Ya+99gqtWrUKDRs2DC1atAhdu3YNV111VfF9WrduHXbbbbesj582bVqoV69emDhxYonbZs2aFXr37h2fs0GDBqF58+bhwAMPjNdnGjt2bHye5FK/fv34uH79+oU5c+bE+/D/qffJdeF+6Ny5c877rL322uU6D2effXZer81r5iM5b9ku++23X/H9eL711luvzOf77rvvwuDBg8Naa60Vj3/ZZZcNO+20U3jwwQfT7vf111/H1zj++ONLPAfXcdvQoUNL3NanT5+w2GKLhd9//71C74/Htm3bNj7PRx99VHy/Tz75JN4+fPjwtMcXFRWFI444Iq9znlx4LkmSJEmSJEk1R/3qPgDlZ8aMGWG77bYLq666ajj88MPDyiuvHD7//PPwwgsvhCuuuCIMGDCgwqfy3nvvDfvvv39ctD700ENDmzZt4mLuTTfdFAMLEyZMCD179izxuGHDhsX7/vHHH/E4CCI8++yzYebMmXHxuEuXLsX3/fjjj8NZZ50V+vfvH7beeuvi61dbbbXi/19llVXChRdeWOJ1ll566XKdh169eoXVV1+9+DG//vprOOqoo+J74LbESiutVK7zdNxxx4VNN9007TqCM+Uxe/bssMMOO4RvvvkmHHzwwWGTTTYJP/74Y7j99ttD9+7dw0knnRQuvfTSeN8VV1wxrLHGGvGcZnruuedikIY/s9224YYbhiWWWKJC7+/vv/8Or732Whg9enR46KGHYnCG4FE2BAqOPvroeF+OvX379mm3X3bZZeGLL74Il19+edr1K6ywQrmOTZIkSZIkSVLVMlhQS5x//vlx0fzll18OyyyzTIkM9Ir68MMPw0EHHRQzyZ9++um0RVyy11nY5/a33nor3ifVLrvsEhe7cdhhh4Xll18+XHzxxWHy5Mlhn332CVtuuWXxfV955ZUYLOA6Khiy4f3luq0852GDDTaIl8S3334bgwVcV9bzl4ZzQUVDRbEIz+N/+OGHeK4333zz4tsGDRoUKznI2uec7rvvvvH6rbbaKowbNy4GPBo3bhyv++2338Kbb74ZzzHn+t9//w2LLrpovG3u3LmxGmD33XdfoPdHIGPNNdeMAYRbbrklDBkyJOtjCM5cf/314fTTTw/nnXdeidsJNPF+F+S8S5IkKTfGhksuuaSnqBL9888/4b///guLL76451WSJBUU2xDVEizqt2vXrsQCeZKBXlFksdOuhszwzGxvFv9HjRoVJyCXXHJJmc+VVAxwrLXtPCwM99xzT6y6OPXUU9MCBWCxn3PN+6KNUoJgAcEAKicSL774YpzAkMlPEOGNN94ovi2pNOBxC2r77bcvrgrJhmDSNddcEwMJ2QIFkiRJqlxJu8233347HHDAAaFp06Zx3EdiD+0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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 = 0.0201  (6,641 benign flagged of 330,990)\n",
      "worst per-family recalls: {'Infilteration': 0.168, 'Theft': 0.667, 'mitm': 0.703, 'ransomware': 0.837, 'Reconnaissance': 0.921, 'Shellcode': 0.926}\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": "e42fbd0f",
   "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": "5a423c59",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "best single-feature AUC = 0.8743  (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": {
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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": "05ecb393",
   "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": "d0c959ec",
   "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>0.998721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>de-duplicated (0% rows removed)</td>\n",
       "      <td>0.998716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>shortcut feature dropped (DURATION_IN)</td>\n",
       "      <td>0.998701</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                  setting  held_out_auc\n",
       "0                        headline (as-is)      0.998721\n",
       "1         de-duplicated (0% rows removed)      0.998716\n",
       "2  shortcut feature dropped (DURATION_IN)      0.998701"
      ]
     },
     "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": "13e4644e",
   "metadata": {},
   "source": [
    "## 12. Reproducibility & robustness"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "afbd4124",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "seed=0 | numpy 2.3.5 | sklearn 1.9.0 | xgboost 1.6.2 | lightgbm 4.7.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "XGBoost 3-fold CV ROC-AUC = 0.9981 +/- 0.0002  (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": "eb642559",
   "metadata": {},
   "source": [
    "## 13. Scientific conclusion\n",
    "\n",
    "The value of the merged set is the question it forces: a model trained on the union must cope with four different attack distributions at once. Read the headline against the majority baseline and the contamination grade printed below \u2014 not on its own. Treat cross-environment transfer as the open question. A single pooled split cannot measure that transfer (Sarhan et al., 2022; Sommer & Paxson, 2010).\n",
    "\n",
    "**Validity ledger \u2014 read the headline against these printed numbers:** Majority-class baseline **accuracy**: **0.6690**. The accuracy column must clear that bar to mean anything. For ROC-AUC the trivial baseline is 0.5, not that figure. Winning learner: **XGBoost** (3-fold CV ROC-AUC **0.9981**). Strongest *single* feature: `DURATION_IN` at AUC **0.8743**. The ablation refutes a single-feature story. Dropping that feature barely moves the AUC: **0.998721 \u2192 0.998701**. 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 0.000005 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 0.8743 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: **0.0201**. Worst per-group recalls, exactly as printed: {`Infilteration`: 0.168, `Theft`: 0.667, `mitm`: 0.703, `ransomware`: 0.837, `Reconnaissance`: 0.921, `Shellcode`: 0.926}. The weakest group sits at **0.168**, 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": "37bbd887",
   "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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