{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "7d7b449d",
   "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 fraud detectors on Sparkov simulated card transactions.\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. Recognise a genuine single-feature shortcut when the ablation exposes it.\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 4: Attack Graph Analytics** \u2014 Learning objective 5 (section 4.1) separates a **one-at-a-time** perturbation from the smallest perturbation that reverses a ranking, and warns the first **overstates stability**. Dropping only the top feature and refitting is exactly that weaker test, so read it as a floor.\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "668b0629",
   "metadata": {},
   "source": [
    "# Credit-Card Fraud Detection: the Sparkov Simulated Dataset\n",
    "### Model comparison + validity audit on Sparkov-CC-Fraud (\u22651M records, via Kaggle)\n",
    "\n",
    "**Abstract:** This Sparkov-generated corpus (~1.85M credit-card transactions across train+test) simulates legitimate and fraudulent purchases. The learners receive **12 columns**: `merchant`, `amt`, `gender`, `city`, `state`, `zip`, `lat`, `long`, `city_pop`, `job`, `merch_lat`, `merch_long`. The merchant *category*, the raw timestamps and the direct identifiers (name, street, DOB, card and transaction numbers) are dropped before fitting. Category is retained only as the per-group recall label. We compare four learners and audit the scores."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bb55ba01",
   "metadata": {},
   "source": [
    "## 1. Research problem\n",
    "\n",
    "**Task:** Detect fraudulent card transactions among legitimate ones. **Be precise about what the model actually sees.** The loader drops the merchant-*category* string, the raw timestamp/`unix_time` columns and the direct identifiers (name, street, DOB, card and transaction numbers). The **12 columns that survive** are the merchant name, amount, gender, city, state, zip, customer and merchant latitude/longitude, city population, and job title. Note that several of these (`merchant`, `city`, `job`) are high-cardinality categoricals a model can simply memorise. That is exactly what the shortcut audit below probes. Card fraud is rare and adversarial, so \u2014 as with intrusion \u2014 the question is whether the model detects fraud or memorizes an artifact of the simulator."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ddfcba72",
   "metadata": {},
   "source": [
    "## 2. Literature review\n",
    "\n",
    "- **Sparkov generator (Harris, GitHub `namebrandon/Sparkov_Data_Generation`)** \u2014 the simulation tool that produced these transactions; it is software, **not a peer-reviewed study**, surfaced via the Kaggle upload `kartik2112/fraud-detection`.\n",
    "- **Dal Pozzolo et al. (2015)** \u2014 imbalanced fraud learning.\n",
    "- **Bahnsen et al. (2016)** \u2014 feature engineering for credit-card fraud detection.\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",
    "| Standard ML on Sparkov | imbalanced; accuracy misleading |\n",
    "| Cost-sensitive fraud models | simulated distribution |\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9d38d85e",
   "metadata": {},
   "source": [
    "## 3. Dataset provenance & honesty caveats\n",
    "\n",
    "| Property | Value |\n",
    "|---|---|\n",
    "| Source | Kaggle `kartik2112/fraud-detection` (Sparkov) |\n",
    "| Rows | ~1.85M (fraudTrain + fraudTest) |\n",
    "| Label | `is_fraud` 0/1; family `category` |\n",
    "| Access | Kaggle API token required |\n",
    "\n",
    "**Honestly:** simulated data; card numbers, names, street, DOB, transaction IDs and timestamps are dropped as identifiers/PII to prevent leakage.\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 `kartik2112/fraud-detection` -> `/tmp/kg_fraud-detection`. It is about **478 MB** on disk.\n",
    "\n",
    "**One-time setup.** Sign in at kaggle.com, open **Settings**, and under **API** choose **Create New Token**. Kaggle hands you a `kaggle.json` file. This notebook does *not* read that file. It reads a plain key file, so convert it once:\n",
    "\n",
    "```bash\n",
    "mkdir -p ~/.kaggle\n",
    "python3 -c \"import json;print(json.load(open('kaggle.json'))['key'],end='')\" > ~/.kaggle/access_token\n",
    "chmod 600 ~/.kaggle/access_token\n",
    "```\n",
    "\n",
    "Never paste the token into a cell, a commit, or a screenshot. If it leaks, revoke it from the same Settings page.\n",
    "\n",
    "**If the loader fails:**\n",
    "\n",
    "- `FileNotFoundError: ~/.kaggle/access_token` - you created `kaggle.json` but not the key file. Run the command above.\n",
    "- `401 Unauthorized` - the key is wrong, or a trailing newline crept in.\n",
    "- `403 Forbidden` - open the dataset page on Kaggle while signed in, accept its terms, then re-run the cell.\n",
    "\n",
    "The cache sits under `/tmp`, which macOS clears on reboot. To keep it, move the folder somewhere durable and symlink it back. Do **not** edit the path in the code cell below: that changes a code cell and invalidates the stored outputs you are reviewing."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d31d6202",
   "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": "07231dd4",
   "metadata": {},
   "source": [
    "**Figure 4.1 \u2014 Solution design (methodology).**\n",
    "\n",
    "<img src=\"data:image/png;base64,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\" style=\"max-width:100%;height:auto;\" alt=\"Figure 4.1 \u2014 Solution design (methodology).\"/>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "28e9a063",
   "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": "516fad5e",
   "metadata": {},
   "source": [
    "**Figure 5.1 \u2014 Implementation architecture.**\n",
    "\n",
    "<img src=\"data:image/png;base64,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\" style=\"max-width:100%;height:auto;\" alt=\"Figure 5.1 \u2014 Implementation architecture.\"/>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "91857526",
   "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": "27f10b66",
   "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": "f9f8380d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "loaded 1,852,394 rows x 12 features; positive rate 0.0052\n"
     ]
    }
   ],
   "source": [
    "import os, glob\n",
    "# Kaggle auth: token read from ~/.kaggle/access_token (students supply their own).\n",
    "os.environ.setdefault('KAGGLE_KEY', open(os.path.expanduser('~/.kaggle/access_token')).read().strip())\n",
    "import kaggle; kaggle.api.authenticate()\n",
    "REF = 'kartik2112/fraud-detection'; DEST = '/tmp/kg_' + REF.split('/')[-1]\n",
    "if not os.path.exists(DEST):                                   # download + unzip once (cached)\n",
    "    kaggle.api.dataset_download_files(REF, path=DEST, unzip=True, quiet=True)\n",
    "NROWS = 1_500_000                                              # per-file read cap (memory bound)\n",
    "files = sorted(glob.glob(DEST + '/**/*.csv', recursive=True))\n",
    "df = pd.concat([pd.read_csv(f, low_memory=False, nrows=NROWS) for f in files], ignore_index=True)  # combine day/part files\n",
    "df.columns = [str(c).strip() for c in df.columns]             # strip header whitespace\n",
    "LABEL = 'is_fraud'; FAMILY = 'category'\n",
    "df['y'] = (df[LABEL].astype(str).str.strip().str.lower() != '0').astype(int)  # benign=0\n",
    "df['family'] = df[FAMILY].astype(str).str.strip()             # descriptive attack family\n",
    "df = df.reset_index(drop=True)\n",
    "assert len(df) >= 1_000_000, f'floor not met: {len(df):,}'    # honesty gate: >= 1M rows\n",
    "DROP = list({LABEL, FAMILY, 'y', 'family'} | set(['cc_num', 'trans_num', 'first', 'last', 'street', 'dob', 'trans_date_trans_time', 'unix_time', 'Unnamed: 0']))  # never leak label cols\n",
    "feat = [c for c in df.columns if c not in DROP]\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "X = df[feat].copy()\n",
    "idlike = [c for c in X.select_dtypes(include='object').columns if X[c].nunique() > 0.5*len(X)]\n",
    "X = X.drop(columns=idlike)                                     # drop ID/timestamp-like leaky columns\n",
    "for c in X.select_dtypes(include='object').columns:           # encode remaining categoricals\n",
    "    X[c] = LabelEncoder().fit_transform(X[c].astype(str))\n",
    "X = X.apply(pd.to_numeric, errors='coerce').replace([np.inf,-np.inf],np.nan).fillna(0.0)\n",
    "X = X.clip(-1e15, 1e15)                                        # clip huge NetFlow counts (float32-safe)\n",
    "X = X.loc[:, X.nunique() > 1]                                  # drop constants\n",
    "import re                                                      # LightGBM rejects special chars in names\n",
    "_seen, _cols = {}, []\n",
    "for _c in X.columns:                                           # sanitize to unique, safe names\n",
    "    _c = re.sub(r'[^0-9A-Za-z_]+', '_', str(_c)).strip('_') or 'f'\n",
    "    _seen[_c] = _seen.get(_c, -1) + 1\n",
    "    _cols.append(_c if _seen[_c] == 0 else f'{_c}_{_seen[_c]}')\n",
    "X.columns = _cols; feat = list(X.columns)\n",
    "y = df['y'].to_numpy()                                         # STANDARD CONTRACT\n",
    "NEG_WORD, POS_WORD = 'legitimate', 'fraud'               # class names for plots\n",
    "print(f'loaded {len(df):,} rows x {len(feat)} features; positive rate {y.mean():.4f}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d445bf47",
   "metadata": {},
   "source": [
    "## 7. Exploratory data analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "7a6e64f2",
   "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": "9974f93f",
   "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": "2ee16bbf",
   "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": "7df8ae74",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "materialized 1,852,394 rows | trained on 120,000 (stratified subsample) | held-out 463,099\n",
      "MAJORITY-CLASS BASELINE accuracy = 0.9948  (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>0.994593</td>\n",
       "      <td>0.948632</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>LightGBM</td>\n",
       "      <td>0.994055</td>\n",
       "      <td>0.937603</td>\n",
       "      <td>1.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>RandomForest</td>\n",
       "      <td>0.995046</td>\n",
       "      <td>0.884538</td>\n",
       "      <td>0.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>LogisticRegression</td>\n",
       "      <td>0.994373</td>\n",
       "      <td>0.840340</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MajorityBaseline</td>\n",
       "      <td>0.994800</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  0.994593  0.948632      0.5\n",
       "1            LightGBM  0.994055  0.937603      1.3\n",
       "2        RandomForest  0.995046  0.884538      0.9\n",
       "3  LogisticRegression  0.994373  0.840340      0.1\n",
       "4    MajorityBaseline  0.994800  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": "29ddfd5d",
   "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": "1dfa40a0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1800x480 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABgsAAAJLCAYAAADZ3qYgAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAASdAAAEnQB3mYfeAAAvvxJREFUeJzs3QmcjeX///GP7Lvs2beSpZDsyr4lu5QiJKTsSSihlJK1RKQsSZFKC5EK36jQIpJEISlboWQL83+8r9/jPv9zzpzZZ8yY83o+HqdpztznPte5zxnzua7P9bmuNBEREREGAAAAAAAAAADC1hXJ3QAAAAAAAAAAAJC8SBYAAAAAAAAAABDmSBYAAAAAAAAAABDmSBYAAAAAAAAAABDmSBYAAAAAAAAAABDmSBYAAAAAAAAAABDmSBYAAAAAAAAAABDmSBYAAAAAAAAAABDmSBYAAAAAAAAAABDmSBYAAAAAAAAAABDmSBYAAAAAAAAAABDmSBYAABIkTZo0Vr9+fa4i4q179+7uc3Q5eP31161KlSqWPXt21+ZBgwa5+9euXeu+nzdvXnI3EQCAFO25556z8uXLW+bMmd3fzqlTp1pKjWnHjBnj7tff+XC3d+9edy0Ut4WK4/TzuFizZo173JIlSxK5pZen//77z0aPHm1XX321ZcyY0V2bZcuWRXnd8f8p/iYO/z8DBgywK6+80o4ePcpHBPFGsgBASC+//LL7g9uiRYsor1DLli3dMTNmzIgyAOzWrZtdc801bmAtQ4YMVrBgQWvUqJE9/fTT9ttvv0V6jAJ0ndP/li5dOitQoIB7vg8//DBFv2PegKE6Fin5nIg7Ootx8+abb7rP7VtvvZVqPm5ffPGF3XXXXfbPP/9Y3759XYeuefPmyd0sAAAiCY6n06ZNa3nz5rWGDRvaokWLku2KvfHGGzZw4EDLlCmTS7jrb2nNmjWTrT1IHhcvXrTBgwdbpUqV7Lbbbks1b0NC+guTJk2yxx9/3AoVKmRDhw51vxvXXnutXQolSpRwNySezz//3G655RbLnTu3S4xef/31LjF64cKFBP1b7n8L9W/nyJEj7ezZs4wdIEHSJezhAFKrnj172nvvveduL7zwgj3wwAMBP585c6atWLHCJRPuv//+gJ/9/fffLkmgmRDp06e3m2++2f2hzJo1qx05csQ2bdpkI0aMcAHQl19+6WbpBtPjvYDl9OnTtnPnTlu+fLl7zlmzZlnv3r2T+Aogtnbs2GFZsmThgiHAO++84wLj6BKOlxv9GxQREWELFiyw2rVrJ3dzAACIkeJtb9byjz/+aO+++66b0PPVV1/Z5MmTL/kV/OCDD3xfNSiakhDTXtqk0XfffWevvfbaZVNdmtT0O5EtWzZbvXq1m2Tn0e+uPps5c+ZM1vYh9vTvbIcOHVxS9Pbbb3cJg/fff98lyDZs2OAmVcVF8eLFQ1aWFClSJNJ9mpypYzVmMmzYMCtWrBhvHeKMZAGAKL300ktuJq3+yDRu3NjKli3r7v/pp5/cbIc8efLYK6+8EvAYZcr1h/Hjjz+2evXq2auvvmpFixaNdO4ffvjBHnvsMZdYCEV/4ILLgDVDuWPHjvbUU0+RLEhBLtWMF1w+zp075wbWmzZtmqoSSb///rv7mtIGNwAAiEpwZeonn3xiTZo0cTNctVzFpZ5NnJL/lhLTXjqajJYjRw5r167dJXzWlE2/G+pf+ycKRJPv+Gwmr927d7uVErTaQUw0vtGrVy9XzaUKkxtvvNHd/8QTT7jKrqVLl7pk2R133BHr59e/03FZZUATLzW5c/bs2TZu3LhYPw7wsAwRgCjlz5/fJQxOnTplXbp0sfPnz7ub/l/36Y+PMtf+NDtEiQKttajBwlCJAtE6pfpDWadOnVi/Axp4FFUnhKL1LlXFoFkXmtF83XXX2fjx410ZXihff/21S2zodWpdSGXsVSXxxx9/RDr20KFDLkGihIkqJHLlyuX+X0mNX375xR2j/2/QoIH7/7FjxwaUCMZ3ndPYnlOvUUs76TVrcFbB90033RRyDVD/dS81w6xt27ZutoNeV926de2jjz5K1PVdtcZ71apVXbvUMRwyZIjvPfn000/dY9Vera3YtWtX+/PPP6MsjT1x4oT169fPChcu7GZq6HOkdW812zuhnwnvORTgqY36fwXnei36f11/0fvh/z54lEQbPny4Cwjz5cvn+0ypCibUklv+y0tt2bLFLbOlz5WukxJtKl0NRQm5F1980f3ueK+rTJkydu+999quXbsCjtXvq5YJU4mqrrHOrUqe6dOnu/LvYKok0jJhV111lWu/3i+1JaqlxqKi91XXMTE6gPq35plnnnHXVUG6ZlyVK1fODXDo99KffndVBaX3Sx0tvQ/t27d3v+tR0edT76muvT5TOreCav/PiLcO6ty5c933JUuW9L3/cV2fFwCA5KS/8xp4VOy0efNm3/2KVRRjlSpVysUAGrRs3bp1wDGh4jwtaVSjRg339zm6xIP3GFU1SKhYSlXJ6mdoCVPFpbophlSsFypu8dbK37Nnj4ttFBfqb7naoclFXnyoWbzVq1d351Pcr9epyuX47MN17NgxF0+VLl06yvizVatW7lyq3oiJtwSrJlpoCRr1L3T9/WcRx+W9iUusqMFpPaeOU59OsZNivzvvvNNN7Eoq6n8oztVrUNv81apVy7Xj33//Dbhf8aiuk6rf/WnGve6/++67A+5Xn0GV7Lqe+kyon9GsWTPXT40uJlcFvGJy9Y3847ytW7da586d3WdL74FizBtuuMEtpaWZ/xKb/kIo/p/jffv2+R7j/T7FtFeE+qLPP/+8W+ZG19P7DOvzOX/+fFcNq/bqOqhvruuwePHigNeu5/V/7uDn0/r3et/isg5+dH0rj86p51G79L5rMF6fP60qENWgvZat0vup32e9No05JIXDhw+7f1fUj9LYhj5rsaExDo1XKBngJQpE198buNdAflLSv8m63prYGdW/U0B0qCwAEK02bdrYPffc4/7QKJgUBab6o65BuGBKLshDDz3k/oDHRPsRxJYX3Pn/0fVfm0+DwFqLVQGGOiza30D3r1q1yg2A+8/SUJmnEgX646lqBQ3qakBRf7hVNrh+/Xo3IOgNViqI/vnnn91MLHUA9DgFVDpWj1fwrkF3UVCmgNa/s+HfedL/67EKCGOazRWbc6pzoaBv3bp1rvOnwVK1WYGKyh41EK0OUzA9vwJyDaD36dPHDbQqcNSyMer46bEJpcBV74Neh9qu92HKlCn2119/uc+WgigF5BpQV6dh4cKFLggNtTeFXqcqXI4fP+4ep+9VbaJ1bxVQaoZSQj4T3nNoxofap+SUBtj1OVBHQB1YXWP/JbL8vf32265jps6BAlede/v27TZnzhxXdqoOo5IcwXT/hAkT3HuhTtyvv/7qXpc683rvvIoer3233nqrK09WUK3XpTaqE6Flf5TsUTAr6rjos6rXqnPoWAWp6qT379/fNm7c6Cp/PEr+6XOgzqIep+umIFmdIw2SBy83Fh1dC/1u6zwJoQ65rqfK1PUa9G+Rrqt+F9Um/RvkzfDR51mvXx1fvYfq0O3fv98NEKgToWuqa+dP59N5VMKrfw+UMNDSaKNGjXIzL3Wd9ToqV67slnHQZ0Bt0WdOx4r3FQCAy4U3eOQNYn7zzTcu7lH8o5hSf18Vj+nvnv62KsbQkqKh1ljX30r9vdffaw3QRsWLYZWAVxzsLY/kT5MurrjiCjfQpZhJ59MEBP3dVf/DP27xpwk9GvRUO/Q6NPnhkUcecXGTBn11XsWimkij9ipm1IB6fAbsNEipOFTxg/om6hv4U+yheFNJjlB9lqgoDtFrVByutiqpEZ/3Ji6x4v/+9z832UjvnZ5fsbKSCepD6BpquRTtKZDYvD6d2hJM8a9isc8++8y3L5T6NbpPFJ/5877X4zzqK6jvpoRHtWrVXByva6ZJRLqWet8V8wZTRb36DmqXYkQ9RnGnYmF9JvX7ogSH+gYaANfAtSbUaABYg+Cx6S+Eovdbx3obfes8cYkx9fuh66U+lT4LmtEu+h3Q61F7O3Xq5BJH6u/pc6b4WH09Pa9+F4OfWxT/ejRorkSIjo3LDPeo+laycuVK93n2+ixKaCkxpn6EYnf1WZSQ8eizqf6SJpbp90Tt03ug65dYy54qSaX3UBMg9TukiVdKzunzoglFsaF/syTUvmaaxKZko/q9mpikxFNs6DOt8ZiDBw+691H/vsS014t+B/Q61B+tWLFirJ4H8IkAgBj8/fffESVLloxImzatu5UoUcLdF+y///6LSJ8+vXofEbt3747Xda1Xr557fLdu3SJGjx7tbg8//HBEu3bt3LnLly8fsX379oDHfP755+4xRYsWjfjjjz8C2nPrrbe6nz355JO++//555+I3LlzR1xxxRUR//vf/wLO9fTTT7vjmzRp4rvvvffec/cNGjQoUnvPnj0bcC3WrFnjjlW7o1K8eHF3zJ49e2J1TWI651NPPeV+3qJFC/eaPYcOHfI914YNG3z363l1n25Dhw4NONfmzZsj0qVLF5ErV66IEydOxKp9Oo/eN39qq+7PkSNHxA8//OC7/8yZM+491LXXe7B27Vrfzy5cuBDRuHFj97hvv/024Hze66hTp447h+fPP/+MKFWqlPvZunXr4v2Z8H+ORo0aRZw8eTLS6/Rek96PUH777beAtnlWrVrlXu99990X8n3Vbe7cuQE/e/HFF939ffv2Dbh/xIgR7v5WrVpFei59f/jw4Ujt7devX8T58+d99+v/77nnHvezZcuW+e6/4YYbIjJkyOA+N8GOHDkSEVt6H/Pnz++uY2zp9z1USNK5c2d3v66dzutPv8fHjx/3fd+0aVN37Lhx4wKO02df/27p86bHeHTNdbz+bTl16lTAY7xrN3Xq1JDtDPW7672fwe8lAADJwYsxgq1evToiTZo07rZ3714XG5UuXToiY8aMAXGZHDhwIKJQoUIRBQsWDIg7vL+TWbJkifjmm2/iFeuHEqr/oL//d999t3vMl19+GfLvsmI4xWGeY8eOReTJk8e1L2/evJFi0XLlyoWMeaKLaf3jP8XLuq9Dhw6R2usdP3v27Dhdj+uuuy5SvBWf9yYusaJef6g+3ZYtWyKyZs0a0bx584D7vT6Ernts46NQbr/9dnf8V199Felnn3zySaQ+ysqVK339s+B+Ztu2bd19v/76q+++3r17u/v09eLFi777f/rpJ9c30Xvv31b/mFwxeLAhQ4ZEips9f/31V0CMGlN/ITr6HOsWLKbrrs/BL7/8Eulxin0LFy4c8e+//0b6WfBnLarnDn5d0fVxQ72eqPpWum7qb+r3NLhvv23bNvf5q1KlSsD93vsfHJ/rfYmqTxUb+j1bsWJFxJ133umeV+fRV33/wQcfBPSvY+PGG2+M8vMtFSpUcD/3/3cpOt5rC75VqlQpYuvWrVE+TtdJx73wwgtxaj/gPndcBgCx4Q2s6fbhhx+GPEYBp3fM6dOnI/1cQZOXAPBu77zzTsiAOdRNAY8GeIMD33vvvdf9fNasWZGec+fOnW6gVskOz8KFC93xGogMpmBAyRD9fN++fQHJAgXfMYlNskAB7o4dOyLOnTsX4/lic84yZcq4Dp/OGWzOnDnusT169IgUcObMmTNkB8ELPOfNmxer9kXXsXr00UcjHT927Fj3s65du0b6mZ4z1HN7wWZwcsf/s9m9e/d4fyb8n0MdpFASEvyrAxj8fN77qgRIMH02lLSpWrVqwCC/3rPMmTO7DmJ01GnR74s6kKECXHWi9Zm57bbbApIF6lQreE+Izz77zL2u6dOnJyhZoH9P9D5dddVVIZM3/vbv3+8eX6xYsZC/V126dHE/nz9/vu++ypUru2usaxFM11qdl2rVqoVsJ8kCAEBK58XPXsw9cuRIN7itBLruHzx4cMBAW/AEkuABp+XLl0eKiUJNpElIsiAqX3/9tXuMYshQf5cV7wZT7KufjRo1KtLPxowZ434WPAAf22SBNyCoOMJ/UorihyJFikRkz549YIJCbK5HqIHouL43cYkVY6Jkg5IU/nFVYiULatWq5Y4P1Ub1ITNlyhQwUPzQQw+5a+1NBvLie8W7GnC++uqrAyZyKZ7Nli2bm1QUTH2T4M+SF5MrNgzFSxZoAlBMkiNZEDx47lFfQP3aUJOZYvvcCRFd38r77EbVX9C/Lfq5l0jwYn31p/wnQQX/HsUlWfDFF1+4SVX58uVzj9XERE0qW7RoUcgES2zp86jz7dq1K+TPa9eu7X6uz3Ns6POnyU9K8OjfFSUrO3bs6M6hZKh/otTfG2+84Y7RxEsgrliGCECMtKan1gz3qGwxVFldTFQe7K3j6FGJprfUjj+VHXrlyipNVOmsyiNVTqmSRZ1LZcpeea6oxDGY1jzVEiNaokSlzCrbi+54LTmi8kA937fffmvFihVzy/+oFFplunqsyjtV1qfSR6/MMy60xmli+eeff1z5pdoXauMr7zXqtQRTWafWgA+m665lj/QYvT8JEar82tvQTuWTwbxlekKt8a/3Rsv7hGpv8GuM62fCo2V6tN5nfKiPqVJPlddrqRotoaMSd0/wkkfRXSOVMmt5HZ3Df01PtVdl0DFtCqj9E1TuqzLzqDa10pqm/mtv3nXXXfbggw+69X5VXq/PvT7nWuM0LlTirjLtUL/XcaESaa1PrN/HmJY08957LS+gaxdMnwMtcaXjtKatytn1HmmpJa/sOpjKgmO7NikAACmVF3vrb7OWNdHfSq37rr0BvKVXREsDhVpexFvjXn8Tg5ci0j4A/hQ/Kw4KFttlS7S8yLPPPmsrVqxw67AHr1t/4MCBJI83Y0vLM3pLtWqJS1G7dc6+ffu6JX3iIvhaxue9iUus6NFyL1pGU8tiatkdLbviT/dpL6vE5O1PpiWdgikWV7yvvqCO0xIwWtZFywlpCRrFx1p6SEuYKt7X8iz+S6dqaVJvCVktQRUqJlRsHKpvFOo9EJ1/2rRpLrbV8rNaFlXnT8w+XUJE1W7F9loSVrG9liFSbK9r6N/3SWpR9a28z7bi8VCfbfVlvM+22u+9X1oiKlT/W/1BLf8UWzrW60Pq3wh9JvTehvrMJDct9xb8753GY9ReLbM6ceJEt8xvMO+1xGWfCcBDsgBAjIYNG+aCT62HqD+sCooVLAWvR64/SBqo0+C+1g3XOv7+FAh4wUCoNT6jonNq0FPriyqg0JqMWltfa5KLtz5qVIGs7tc68AomFRzF5njR8aK1FbVOptZo1PqdWgNeNNCojsKjjz4acoDyUojra/HnrfUezNu0Orp1Z2MrVDDq7VMR3c+8jcL86XqHCg5DtTeunwmP1oeNaROyqGjjLg0869xaU1YdUW/TNm993lCiWo9U18I/2eC9h6H2PYiqE6ZOZHCCzt/JkycD2q9rrLVXtZGgXouuhToW6rjHdt1dJQvUoYtNO6MTl9cb198DJWGU3NHmY9FdHwAALncxbW7pxQwafIqOf8wQHIP5JwtC/V2NTbJAf6MVP2gyhwY/ldxX30LxkH6mwVqt8Z3U8WZsaWKFJllovzZvrwXt/ySh1sOPSfC1jM97E5fYSXRNtUa9Bu3VL9MkKa2nrvjP26cpqmueEF58fObMmUgbHHv7DyhBoISB/l8DxV5CRoP96kfqcx1qv4KE9I1CvQeiz6P6n08++aTbz8HbO0P7aal/6PVJk0tU7dYAsvrj2l9Dk95002dfiSUNQGuPgKQWVd/K+2x7+x3G9Nn23teY+q+xpT6PEmoas/j+++/dZET9Hmi/j1Cfybjw/s2Jqi/t3Z/Qfc/uu+8+lyzQ3iOheJu4J/T1IDyRLAAQLW0Cq0F6bYKr6gINPmrQsFevXu4Pq/7Q+v5BSZfOzWTR5sAK3oKTBYlB59dmW5s2bfIFZt4fZG34E2qGhzZy8j/O//hQgo8XzUR/+eWXXWCqzbIUwOq6aNNnzX5+4oknLDnE57V4Dh06FPIx3rku5ayT2NCsCA2eBycMQrU3rp8JT3wTBdoIWAPs2jxKG1YFV2y8/vrrllBeQBnVrDp/3utq166d2yQsttQx100dKL0ODfwrOajkhxKGMVUZaENmdfLj00lOjNcb298D72uVKlV8VSgAAIQj72/iu+++6zZvjYvguEkzdWNKTkRlzpw5LoYItYGqZiFrYDsl0QBc9+7d3YCs+ksVKlRwGxurrxKfTYFDxaBxfW/iEjupgkDXWYOsioWCB9e9md9Jwdu8WQPGoaoLvMpgJQWUhFFfy0sI6GeKq5XIUH9T100bNCdG3yi6foBm5H/wwQcuefL111+7wWXN2tcG0oqPVW2QXKJqt/pMSgbppr6K+uhvvPGGSz5p01vdYrvBbmK3zbv+eh9jU9XtHR9T/zW29PuqzcjVp1dluPpL6veoIkiTIjXOoARafCYEKomkSh1VRwRXNun3Tv/OadwkoWMlXr8suAIrOCHj/b4BcfF/a3gAQAhaxqRHjx7uj6SW8FAwocFQDYzrD7VKbIPde++97qtmK6gENLF5y7IoaPRowE+0NFEwLdGjcuCSJUv6AujojtcfcM0c8ZbpCRXwKLjo37+/rV692t2nmTcebyDbf0Z4QkV3Tg1KazBcnQKvFNmfZuRE9VrUMdAyRsG86+Jdp5RC740GsGPT3rh+JhL6PqhUXp/Jpk2bRkoU6Ln084TSMlNq79atW90smNgcq4qY+Mya02M160izfdQR1r8FUc1a8acg20tSJJRmcamDqOeNKggOfr/VCQounw/1e6COgH6P1UnSawMAIFzVrFnTffXi3+Si+Ew6dOgQ6WdxWV7kUlJfSH2DWbNmuUlFihETY8JEfN+buMSKmoSjySFa8ic4UaDZ3Ek5mcIbHNZElFBUYaLKbiUDNJirxIwG68VLGmjJJ00g07n8J69poFbVERqEDlU9EF3fKDbUH9Y104QxTRTykjlJ2RdMDBowbt++vS1ZssQlXH7++Wc38c+/3ZeyzXH9bPvH+qHaGarPFxP1M5TkUeWFxja0coGuja5Ry5Yt3e+FZu/r3x//sYeYeMkuJZSCqV+jMRJ9hhKaqFE/T6JKOni/X1o6GYgrkgUAoqQ/jgo0tYaff8ZfJbda71RlmEoi+NP6pwritF6klimKai3QUMFbTFTa7M2S9tYYFK0XKmqnlhXxKJAYOnSo++OutVk9mi2gsmbNSvH+yHq09Iqy/QocVIorGlAMNYvBu08BqUfraoqWuImKgjP98Y7tIG5M59Tr1yyuhx56KCB4UifAq3jwrlFwCaQCXX+aBaHZFZq9kRgDvoltxIgRAeXQGuj11uRXYiu+n4mEvg8lSpQIGcCqs6UqnFAD2HGlIF7LXqmkVL+bwWXh586d871WzVZRQkuzpwYMGOArQ/Wnn6lKxr/zFGo2oGYiBX/Oo0sWaF1R7QuRUJotoxJ/tdN7z/zp2nplvKr80ewfb28Tfxs3brRFixa5mWv+n2ktu6Rrps9KqH+PlJik6gAAkNq1adPGTTxRxawGYEPRLPOkmAQUKpYKHvTTEjTjx4+3lEjLpKrfoxnnWvdfA/WKXZLrvYlLrKjBY8V2miXvv8SU+idaejYp1zn3+nHB/TCPXof2rFICSbPgtU69N7CqyT76rKjSRK87eH8y7RGmtfo1IWrUqFGR+mAa4NdEuK5du8a6vZqsFCqWjm9f8FLQe69kSjC9v95EmeB267MR6nWKqlCUGIvt/iMxUb9Nvy9atkwrBgRT3O//b4EX66ufPn369IBjlaxJaEJReytoXwedS30P/T6rT6OlxfR51biAxgRiQ3sJKIGlKg71rT1adkvLF0vwpEt9ljU+EPy5UeIv1JiB7tdejuLtPxNMv1/e7xIQVyxDBCAkrcWo4Ex/XJQcCM7CawNcJRA0IKk/oPoDLvqDpAF9LWWiP7bKdGvNc1UkKCBREKI/tAq6FMypVDcUrfHuBQj6A6n13jWDXzOMlYTw3zxVmXntqzBhwgT3PPoDrQ1RVQqsGRMKMDWQ7tGsYi2tctttt7m26asCAAXLKiNWOa5mCHlUQaDHa0aLBkEVXCsJotena+F/bs1m0TqhCg4UiBYvXtwFVgpI9f+iToVej4Idr2MUnZjOqYFUvVa1R2XPmhGugEPvnwZ6dW10DYLpvVXJtwZTtUmXAiPNqFBwptevGT0piWZ3KPDVe6xSbH0ulLBSu9Ux8g+E4vqZiA2VOOv9VsJC5/DKphX06TOjzqHeI83eUIWBBrL12VHwqfu0RE9CqTRf79f777/vPotaV1OVDCqj1WdXewuoEkDUQdKsKgW7Ol6dKX2O9JlQFYo6EFp7VYGwaCBdvxua6aPPpRIHmu2jjYZVQhtTebU6dNu2bfMFrolBnQFda70G/Xug5ZD074Z+d7R3iPYQ8TqcOkafY72vuhZaLk3XRb8Het80a8i/6kNJAv3Oa48GdcR1bv07oA6Uzq+ZP+rI6LwAAKRWii0Vu+vvoGbTKoZS3KK4XX9HFQeoQlLxVmwmDsSX+g6KY7RkiiYwaCBe8YoG4jUjWjFqSqQYVMvlaOBY/aLEXB88Pu9NbGNFxUaaUKJ17LXcrBITSibo2isWUtzrzcJPbIpJNVCsWM6b9BPMS8IobvXfk8D7mSo5vP8PptekGFZxpK6RXouSH5oxriSC7lfSIbbUn1CFgybL6XGKl9WfVb9C/QFtthyb/sKlpEF/9Xe0L4HiePUZNVitvok2DVZfqly5cr7jdR11rZo3b+76VErOqF/p7VHoTdrx9vtIKCUn1I9T/0N9Dz2/qn7Vx9VnVUkwLaOjNnuUNFN/XP9G6LOs9qn/oclKaqc+84lBkwpVIaSbBu81kU43/wlo0VEfWtXZ6n+qn6I+os6pfosmVOp+/025RQkTfXY0NuGfJJk8ebJ7XfrsFS1a1L0vSiqoakET1DQpLdSeGeqH6py6riltaWFcJiIAIMi+ffsicubMGZEjR46IvXv3Rnl9XnrpJU1DjmjSpEnExYsXI/38448/jujatWtE6dKlI7JkyRKRPn36iPz580c0aNAg4sknn4zYv39/pMfUq1fPndP/liZNmohcuXJF1K1bN2LWrFkR58+fD9me119/PaJOnToR2bJli8iYMWNE+fLlI8aNGxdx+vTpkMdv2rQpom3bthF58+Z1bStatGjEfffdF3HgwIGA43744YeIwYMHR1StWtUdmyFDhojixYtHdOjQIWLDhg0hz9uwYUN3/dR2vYY1a9b4fq7H6r49e/ZEeW3jek69Rl3TChUqRGTKlMldA12LRYsWRTqXnleP79atm3ttrVu3dtc3c+bMEbVr145YuXJlRFzoXHrf/I0ePTpSGz1z5851P9PXYDpeP9Pj/ema6Xb8+PGI+++/P6JQoULufbj22msjpk2bFvLzF9fPhPcc0Xn11VcjKlWq5K6x9/n0/PvvvxEjR450n3c9V5EiRVxbjx496vtcx+a1xtSe//77L+L555+PqFatWkTWrFnd71aZMmUievXqFbFr166AY3VdFixY4D47V155pfuc69rpmujz8uuvv/qOnTlzpvt9KFmypPss6PjKlStHPPPMMxF///13REwmTJjgXs/XX38dEVf6LEYVkpw8edK9Z9ddd51rl97LcuXKRQwcODDi0KFDAcf+9ttv7ne4WLFi7rXmyZMnok2bNu73Jyrvv/9+RMuWLSPy5cvnHlOgQAF3bR955JGIHTt2hGxnqN9d7/0M9bkGAOBSC45TYqK/qQ8//LCLJfX3VjGG4gvFu4p/FH/EJs6LSaiYyLN9+/aIVq1aub/Jim9uuOEG19/wj11j+3c5PrFoXGNaUb9E/QMd8/3330ck5vWIz3sTl1hRx02aNMnFVYptFQN16dLF9f9CXdv4vA9RGTRokHuM+iKhbN261fcZDo7j1L/R/enSpYsyRj127FjEsGHD3OtWn0F928aNG0esWrUq0rExxeR6TPfu3d11Ul9M1/Oaa66J6N+/f8i+cnT9hehEFfvH57qfO3fOxfDNmzd3fVz1TfQ5rVGjhov5z549GyneVgxduHDhiLRp00Z6PvURrrjiioidO3fG6rVE93qCX9sDDzzg3ie1MXv27BFly5Z1n8N33nkn0vH6/Opzr/dT70PNmjUjPvjgg2j7l4klqjGIqKxfvz6iRYsWrp+tz0LFihUjJk+eHPI83mcw+N8fXYN27dq5/qWujfoqBQsWjLj11lsj3n333SifW2MmOl+oawjERhr9J7kTFgCAS0dLtWhWTLdu3VwFx+XAq8BQ25Eyababli2Lz3ukGW6qVrqcQxLNAtKMIFUweNUdAAAgddPMfs3eVnVjcu/7cDlRFaf2WNBySSlt82oEUnyu5UG99fyR8qnCWsuLqQLG20cDiAv2LAAAAAmi8neti+m/PBgAAEBqN3HiRDeY2q9fv+RuymVFE5e0N4LWhD9w4EByNwfR0HJKWhJISysh5dPSzVpqVf82kShAfLFnAQAASPB+EsEbEAMAAKRGWsd80aJFbk8FVRRq7XTtgYa40Tr+2lNMVanaVwspk/a0uJyrf8ON9quYMmWK268EiC+SBQAAAAAAALFcekizrLWpcJMmTWzmzJluU1vEjTaC1YbMABJPqA2PgbgiWQAAYUbr/19us0PYqyB10/JF3r4Ulyu1Xx3eypUrJ3dTAABAEqpfv/5lF0sDABBbbHAMAAAAAAAAAECYo1YOAAAAAAAAAIAwR7IAAAAAAAAAAIAwx54Fqdjx48dt3bp1VrRoUcuYMWNyNwcAAADROHv2rO3fv9/q1atnuXLl4lohydFfAAAAuHycvQT9BZIFqZgSBdo0EgAAAJePZcuWWZs2bZK7GQgD9BcAAAAuP8uSsL9AsiAVU0WB9wEqU6ZMcjcHAAAA0di9e7eb6OHFcEBSo78AAABw+dh9CfoLJAtSMW/pISUKKlSokNzNAQAAQCywfCQuFfoLAAAAl5+MSbjcPBscAwAAAAAAAAAQ5kgWAAAAAAAAAAAQ5kgWAAAAAAAAAAAQ5kgWAAAAAAAAAAAQ5kgWAAAAAAAAAAAQ5kgWAAAAAAAAAAAQ5kgWAAAAAAAAAAAQ5kgWAAAAAAAAAAAQ5tIldwOQ9Fr2HmwZs+XgUgMAAMTBzlVLuV4IC0efHmgH89BfAOKr4NS3uXgAgFSBygIAAAAAAAAAAMIcyQIAAAAAAAAAAMIcyQIAAAAAAAAAAMIcyQIAAAAAqd7evXstTZo0Nm/evORuCgAAAJAikSxIwU6dOmVjxoyxtWvXJndTAAAAAKQgK1ascH0FAAAAILGQLEjhyYKxY8eSLAAAAAASqHjx4nb69Gnr2rVrqkkWqK8AAAAAJJZ0iXYmAAAAAEihtARRpkyZkrsZAAAAQIpFZUE87Nu3z+6//34rW7asZc6c2fLkyWO33XabWwfVn9ZDVadk/fr1NmDAAMuXL5/lypXL+vTpY+fOnbPjx4/b3XffbVdeeaW7DRs2zCIiItxjdS4dL5oxpPPoRqkxAAAAwpViYcXEP/30k3Xp0sVy5szpYuZRo0a5OHr//v3Wpk0by5EjhxUsWNAmTZoU7Z4FBw8etB49eliRIkUsY8aMdtVVV7nHB8f1H374odWrV8+yZ8/uzl2tWjVbtGhRrNvt9Qs2bNhgQ4YMcW3OmjWrtWvXzo4cORLpeD3fTTfd5I7Rc7Zs2dK2b9/u+3n37t3thRdecP/v9RN0AwAAABKCyoJ42Lx5s33++ed2xx13uI6FOhMzZ860+vXr2w8//GBZsmQJOL5///6us6JB/y+//NJmz57tkgY6R7Fixeypp55yZcTPPvusVaxY0SUQ1IHQOfv27es6Ee3bt3fnuv7660O26fDhw5E6Grt3747PywMAAABStNtvv93KlStnTz/9tC1fvtzGjRtnuXPntlmzZlnDhg3tmWeesddee82GDh3qBvZvvvnmkOfp0KGDG4RXvF6iRAkXU69evdp+/fVX97030H/PPfdYhQoVbMSIES6O//bbb23lypV25513xqndeh5NEho9erTrQ0ydOtX69etnixcv9h3z6quvWrdu3axZs2budWhpUvUL6tat655X7dLko99//921VcfHBv0FAAAAxIRkQTxoZk/Hjh0D7mvVqpXVqlXL3nrrrUjroBYoUMAlAzTbRxUJGsRXYkBBvgJ/6d27twv8X3nlFZcs0CwiPYeSBUoQaOZUdGbMmMGapQAAAAgL1atXd4kB/zj6wQcftPHjx9vDDz/s7u/cubMVKlTIxdehkgWq8tXkHcXlSip4lBDwnDhxwlUI6/nWrl0bsIyRVxEcF6pI/uijj3xVABcvXrTnnnvOPY+qJE6ePOme795773UTjDxKHqiqWZOMdL/6Hddcc41LFsTUT/DQXwAAAEBMWIYoHrT0kOe///6zP//808qUKeNmGX3zzTeRju/Zs2dAWXCNGjVc50L3e9KmTWs33nij/fLLL/FpkktCfP/99wG3ZcuWxetcAAAAQEqmwfTgODo4vlZsrgH2qOJrxfQZMmRwSYBjx46FPEaD8f/8848NHz480n4H8Vn2R4kN/8dpqaELFy64ZU6951MSQ4mOo0eP+m56jepDrFmzxuKL/gIAAABiQmVBPJw+fdrNWpo7d64dOHAgYFaRZgUF01JD/jRrSIoWLRrp/qg6KjHJnz+/uwEAAACpXaj4WoP5efPmjXS/JvaEoj0KtMyPKhJUCVyzZk279dZbXZWvlhCVn3/+2X3VUqFJ0W4tSSReH2DXrl3uq5ZSCkX7JcQX/QUAAADEhGRBPGitUSUKBg0a5EqA1QnRDCHtYaBS4mCaCRRKqPvjU84MAAAAhJNQcXRUMXd08bXieS0nqorcVatWuY2SNSno008/tSpVqiRqm2PTRq8voX0IvISFv3Tp6L4BAAAg6RBtxsPSpUvduqGTJk3y3XfmzBlXMpyY4lPaDAAAACD2Spcu7aoLdNPM/sqVK7s4f+HChe5noiU+texoUvOeT1UAjRs3jvZY+goAAABIbOxZEM8ZQcEzlJ5//nm33mhiypIli/ua2EkIAAAAINydOnXKTfgJHqzPnj27nT171n3ftGlT972qDYKPTYqK4GbNmrmlhrSRsfZGC3bkyBHf/2fNmtV9pa8AAACAxEJlQTxoLVOVBmv5ofLly9sXX3xhH3/8seXJk8cSkzZd0/kXL15s11xzjeXOndutl5pYa6YCAAAA4eqnn36yRo0aWadOnVzMrSV+3nnnHTt06JBbXlQ0cD9lyhS3oXK1atXszjvvdPsMfPfddy7ZMH/+/ERtk55v5syZ1rVrV7vhhhtcO/Lly2e//vqrLV++3OrUqWPTp093x1atWtV9HTBggEsyaEKT124AAAAgPkgWxMO0adNcMP7aa6+5GUYK2pUsUJCe2ObMmeP2SBg8eLCdO3fORo8eTbIAAAAASKCiRYta586d7ZNPPnETgZQsuPbaa23JkiXWoUMH33E9e/Z0ywI9/fTT9sQTT1j69OndcYrPk4ISEoUKFXLP9+yzz7oqh8KFC9tNN91kPXr08B3Xvn17109444033JJJqnQgWQAAAICESBPBjrqp1vbt211ioXjtJpYxW47kbg4AAMBlZeeqpckSu2l9/AoVKlzS50Z48j5za7s0srJ56C8A8VVw6ttcPABAqugvsGcBAAAAAAAAAABhjmWIAAAAACAeTp8+bSdOnIj2GO07liFDBq4vAAAAUjySBWFg+ewplLIDAAAAiWzx4sUB+wiEsmbNGqtfv36KvvZ5h0+zgix9BQAAEPZIFgAAAABAPDRr1sxWr14d7TGVKlXi2gIAAOCyQLIAAAAAAOLhqquucjcAAAAgNWCDYwAAAAAAAAAAwhzJAgAAAAAAAAAAwhzJAgAAAAAAAAAAwhzJAgAAAAAAAAAAwhzJAgAAAAAAAAAAwhzJAgAAAAAAAAAAwhzJAgAAAAAAAAAAwhzJAgAAAAAAAAAAwhzJAgAAAAAAAAAAwhzJAgAAAAAAAAAAwhzJAgAAAAAAAAAAwhzJAgAAAAAAAAAAwhzJAgAAAAAAAAAAwhzJAgAAAAAAAAAAwhzJAgAAAAAAAAAAwhzJAgAAAAAAAAAAwhzJAgAAAAAAAAAAwhzJAgAAAAAAAAAAwly65G4Akl7L3oMtY7YcXGqkCDtXLU3uJgAAAMDP0acH2sE89Bdw+So49e3kbgIAAKkClQUAAAAAAAAAAIQ5kgUAAAAAAAAAAIQ5kgUAAAAAAAAAAIQ5kgUAAAAAAAAAAIQ5kgVJbO3atZYmTRr3FQAAAEhN6tevbxUrVrSUTvH4mDFjkrsZAAAAQIpGsgAAAAAALkM//PCDS4Ls3bs3uZsCAACAVCBdcjcAAAAAAJLS6dOnLV26dKkyWTB27FhX4VGiRInkbg4AAAAuc1QWXGb+/fff5G4CAAAAcFnJlClTqkwWAAAAAIkpVSYLtD/AjTfe6DoFpUuXtlmzZrnyXK1V6m/hwoVWtWpVy5w5s+XOndvuuOMO279/f8h1WDVrp0GDBpYlSxYrXLiwTZgwIdLz/vbbb9a2bVvLmjWr5c+f3wYPHmxnz54N2caNGzda8+bNLWfOnO6c9erVsw0bNgQc47VZz33nnXfalVdeaXXr1k2UawQAAADE5J9//rFBgwa5WesZM2Z0MW6TJk3sm2++CTguNrHy4cOHrWfPnlagQAEXp1eqVMnmz58fcIyW01H8O3HiRJsyZYoVL17cxeqKlb///vuAY7t3727ZsmWzX375xZo1a+Zi8EKFCtnjjz9uERER0e5Z4MXZu3fvdufJlSuXi8t79Ohhp06dilSVMGDAAMubN69lz57dWrdubQcOHIjzPgj+r2327Nmun6JrWq1aNdu8eXOk43/88Ufr2LGj66foeql/89577/l+Pm/ePLvtttvc/+va69zslQYAAICESHXTa7799ls3CH/VVVe5ktwLFy64DkO+fPkCjnvyySdt1KhR1qlTJ7v33nvtyJEj9vzzz9vNN9/szqEOg+fYsWPunO3bt3fHL1261B5++GG77rrrrEWLFr5ORKNGjezXX391nQl1VF599VX79NNPI7VR9+lxSlSMHj3arrjiCps7d641bNjQPvvsM6tevXrA8eoEXH311fbUU09F6vj4d770Gvyp8wMAAADE13333edi3379+ln58uXtzz//tPXr19uOHTvshhtuiFOsrEk4ik91rpIlS9qbb77pBuqPHz9uAwcODHjeBQsWuETFAw88YGfOnLFp06a5WHnbtm0u2eBRrK/nrlmzpktQrFy50sXX58+fd32AmKi9asv48eNdAmTOnDkuIfLMM8/4jlEblyxZYl27dnXPs27dOmvZsmW8r+miRYvca+vTp48b3Fe7de2U9EifPr07Zvv27VanTh2XeBk+fLhLhKgNmpj01ltvWbt27Vy/Rf2O5557zkaOHGnlypVzj/W+BqO/AAAAgLBLFqhzkDZtWjdLXwP2XifAP2jet2+fO27cuHEusPYoSK9SpYrNmDEj4P7ff//ddVjUQRDNiNIsp5dfftnXAdLsoJ9++skF8d4Mn169erkZU/402K9Ol2b/fPjhh75qB3UWKlSoYI8++qh99NFHAY/ROdSpiI7arOQIAAAAkFiWL1/uYtpJkyb57hs2bFjAMbGNlZVgUGXvXXfd5e5TTKyKAcW/99xzj5u171FSYdeuXW6wXJQQqFGjhhvEnzx5su84JRL0Mw2Yy/3332+tWrVyx3nVANFR7K92epQM0fdeskAJBMX3qq5QpYP3HKpA+O677+J1TTW5SK9NVcNStmxZa9Omja1atcpuvfVWd5+SJ8WKFXMVB6o+8J5XVcZKxChZUKpUKbvpppvca1e1h5Ix0aG/AAAAgLBahkgziz7++GM348ZLFEiZMmV8HRV5++237eLFiy6JcPToUd+tYMGCbgb/mjVrAs6r8uYuXbr4vs+QIYOb/a/ZP54VK1a4agaVCntUht27d++Ac23ZssV1DrSskDoj3nNrLwJVJvzvf/9zbfOnjlRM1HlQabb/bdmyZbG+dgAAAEAwVdtq+UwlBKIS21hZsXbnzp1992kWvQb0T5486Wbr+1M87yUKROdTskDnCaZKBY8m4uj7c+fOuX5BTILjbA2+K0b/+++/3feqVPBibX/9+/e3+Lr99tt9iQLvOcW7Xn/99ZerRFZfRRUIXn9B7dJyS+pLaBmkuKK/AAAAgLCqLFBprUqclRwI5n+fAmzN8FdiIBSv/NdTpEiRSPsdKMDfunVrQLWCniP4OM0U8qfnlm7dukX5Ok6cOBHQgVBpdExULq0bAAAAkFi0RI7i1qJFi7olNG+55Ra7++673az2uMbKir21/KY/r/pXP/cXKk6/5ppr3Cx/fzqff1u847w9AmKi2fvB7faWVsqRI4drl54jOB4P1d+Ireie06uqUF9FS6bqFlW/xz+ZEhv0FwAAABBWyYLY0sx9dWi0DJCWLAo1O8pfqGMkqv0DYnpuefbZZ61y5cohjwl+fm3qBgAAAFxqmt2ume/vvPOOWypTMayW6FGlrle5m5ix8qWWHG2P6Tm9/sLQoUNdJUEoCUlWAAAAAGGRLNBsmUyZMoXc2Nf/vtKlS7tgXDOEvJlHCaV1WbX0j87rP7Nq586dAcfpuUUzlRo3bpwozw0AAAAkFS21qSVsdNOMdm1s/OSTTwYs8xmbWFmVBhoI968u+PHHH30/D1WN60/7g5UoUSLgPp1Py/f4x/Q6ToKPjQ+1S8+xZ8+egGqHUP2NxOJVSqjaOab+QnBFBwAAAJAQqWrPAs3SUUCttfr911VVMK8qAv+NjHWsNgQOnjWk77UeaFypJFvPuXTpUt99p06dcpu5+VP5thIGEydOdOuzBjty5EicnxsAAABIiv3AtDxm8OQc7Q129uzZOMfKBw8etMWLF/vuO3/+vD3//POuqlYbHftTPO+/Lv+mTZvc3gmhEhTTp08PiOX1vQbatR9YQnkz+7U5sD+1O6noGmuz4lmzZtkff/wRbX8ha9as7uvx48eTrD0AAAAIH6mqskDGjBnjSqTr1Kljffv2dZ0cdRgqVqzoNhcWDdaPGzfORowY4dYy1QZq2bNndzOGVGKtTYlV9hsXvXr1cs+jNVy//vprNwPr1VdfdZsc+9NMqjlz5riOToUKFaxHjx5uvVF1hrSxsioO3n///US9JgAAAEBcaXNd7UfQsWNHq1SpkhvU16bBmzdvtkmTJsXpXIqvNfjdvXt3Fytr1r8m2WzYsMGmTp3qYvHgZXbq1q3r4nklJnRMnjx5bNiwYQHHqapYmxBrXwVtgKwJQsuXL7eRI0davnz5Evyma6JPhw4d3PNrQlHNmjXdZsxe9UJSzex/4YUX3Ou/7rrrXD9D1QaHDh2yL774wn777Tf77rvv3HFa1lSToLQ0lBI7GTNmtIYNG7KXGQAAAOIl1SULFNCrk6DBfm0Ips3YHn/8cduxY4evzFmGDx/uypWnTJniKgxExzZt2tRat24d5+dVUuCTTz6x/v37u5lG+v6uu+5ySYHmzZsHHKuZQgr0n3jiCZdgUIVBwYIFXQenT58+iXAVAAAAgIRRPKulhzQRR3sUaDkeDeJrlr0G8eNCe3CtXbvWxeDz58+3v//+28qWLWtz5851CYRgmoCjSTYapNfSR9WrV3dxsybk+NNAuZIFas9DDz3kkg6jR4+2xx57LNHe/gULFrhY/fXXX3cTi1TJrAoJtV/JiqRQvnx5++qrr1w/Zd68eS5RoYqDKlWqBLw2tevFF1+08ePHW8+ePd1EKU1A0rEAAABAXKWJuBx2HksEqh7Yvn17yPVPUyu9XlVUFK/dxDJmy5HczQGcnav+/1JdAAAgcuymfbBUgRqOVPWrfcW0kXJMlb5KMqg6IdTSnklNFcsauF+4cKGbIHS5f+bWdmlkZfPQX8Dlq+DUt5O7CQAApIr+Qqras8Bz+vTpgO+VIFixYoWb0Q8AAAAA8e1biCoeVPlw8803cyEBAACQaqS6ZYhEa3pqppG+7tu3z2bOnGkZMmSItMZpuFg+e0rYzk4DAAAAEmLChAlun4UGDRpYunTp3JKnumkfBi1jqqV//DcdDkX7PeiWUuUdPs0K0l8AAAAIe6kyWaA9ArSm6MGDB90mX7Vq1bKnnnrKrr766uRuGgAAAIDLSO3atW316tVuvzEteVSsWDEbM2aMPfLII+7n+/fvd0snRUf7KOgxAAAAQEqWKpMF2igNAAAAwOWlRIkSFtst1bTxr25JrUmTJu4WFW0yrGRCdFTxDAAAAKR0qTJZAAAAAACXQqZMmaxx48ZcbAAAAFz2UuUGxwAAAAAAAAAAIPZIFgAAAAAAAAAAEOZIFgAAAAAAAAAAEOZIFgAAAAAAAAAAEOZIFgAAAAAAAAAAEOZIFgAAAAAAAAAAEOZIFgAAAAAAAAAAEOZIFgAAAAAAAAAAEOZIFgAAAAAAAAAAEOZIFgAAAAAAAAAAEOZIFgAAAAAAAAAAEOZIFgAAAAAAAAAAEOZIFgAAAAAAAAAAEOZIFgAAAAAAAAAAEOZIFgAAAAAAAAAAEOZIFgAAAAAAAAAAEOZIFgAAAAAAAAAAEOZIFgAAAAAAAAAAEObSJXcDkPRa9h5sGbPl4FJfxnauWprcTQAAAEAqdfTpgXYwD/0FpAwFp76d3E0AACBsUVkAAAAAAAAAAECYI1kAAAAAAAAAAECYI1kAAAAAAAAAAECYI1lwCcybN8/SpElje/fuvRRPBwAAACSp+vXrW8WKFVP8VVYMPmbMmORuBgAAAHBZIFmQgi1atMimTp2a3M0AAAAAAAAAAKRy6ZK7AYg+WfD999/boEGDuEwAAABAHJ0+fdrSpaPLAwAAAMQGkTMAAACAVClTpkzJ3QQAAADgssEyRMng3XfftZYtW1qhQoUsY8aMVrp0aXviiSfswoULAevALl++3Pbt2+fWWtWtRIkSydFcAAAAhJl//vnHVbcq/lS8mj9/fmvSpIl98803Acf98MMP1qBBA8uSJYsVLlzYJkyYEOlchw8ftp49e1qBAgXc4H2lSpVs/vz5Acdoby/FuxMnTrQpU6ZY8eLFLXPmzFavXj1Xaeuve/fuli1bNvvll1+sWbNmljVrVhdXP/744xYRERHtngX6f923e/dud55cuXJZzpw5rUePHnbq1KlIVQkDBgywvHnzWvbs2a1169Z24MCBOO+DEJfXJp9++qnddNNN7nWpfW3atLEdO3bE6/0BAAAA4oLKgmTa8FgdnCFDhriv6hA89thj9vfff9uzzz7rjnnkkUfsxIkT9ttvv7lOhejYqKgTduTIkYD71AkCAAAA4uq+++6zpUuXWr9+/ax8+fL2559/2vr1692g9Q033OCOOXbsmDVv3tzat29vnTp1csc//PDDdt1111mLFi18A+6aBKO4VOcqWbKkvfnmm26g/vjx4zZw4MCA512wYIEbCH/ggQfszJkzNm3aNGvYsKFt27bNJRs8mmSj565Zs6ZLUKxcudJGjx5t58+fd0mDmKi9asv48ePdAPucOXPcgPszzzzjO0ZtXLJkiXXt2tU9z7p169yEn/iKzWv7+OOP3bUrVaqUS0jo+j3//PNWp04d105v8lBs3p9g9BcAAAAQE5IFybQXgWYTeRTs6zZjxgwbN26cmx2kmUGanaVOWJcuXWI8px47duzYJG45AAAAwoEqXHv16mWTJk3y3Tds2LCAY37//Xc3AK7BdFH1gGbNv/zyy75kwezZs90A9sKFC+2uu+5y9ynu1az6Rx991O655x43a9+jpMKuXbtcHCxKCNSoUcMN4k+ePNl3nAbb9bPnnnvOfX///fdbq1at3HFeNUB0qlSp4trp0WC7vveSBRqYV6JAs/e9iTt6DlUgfPfdd/G6prF5bQ899JDlzp3bvvjiC/dV2rZt69qrZIhXkRGb9ycY/QUAAADEhGWIkoF/okCzi44ePepKjVX6/OOPP8brnOq8qIzZ/7Zs2bJEbDUAAADChZa/2bhxo0sIREVVr/6TWjJkyGDVq1d3ywN5VqxYYQULFrTOnTv77kufPr0b0D958qSbre9PA+PeYLrofBpQ13mCaVa9R8v86Ptz58652fkxUcLCn2JxJQxU6SuqVPBibH/9+/e3+Irptf3xxx+2ZcsWV9HgJQrk+uuvdxOJ/K9BbN6fYPQXAAAAEBMqC5LB9u3b3UwqLT/kdUg8WnooPlQ2rRsAAACQUFrap1u3bla0aFGrWrWq3XLLLXb33Xe75XE8RYoUcYP0/q688krbunWr73vtv3X11VfbFVcEzlEqV66c7+f+dGywa665xs3y96fz+bfFO87bIyAmxYoVi9RuUVVvjhw5XLv0HFqqyF+ZMmUsvmJ6bd61KFu2bKTjdL1WrVpl//77r9vLIDbvTzD6CwAAAIgJlQWXmNZmVdm1ype1nur7779vq1ev9pU8X7x48VI3CQAAAIi0pr8qBLRevjYP1r5aFSpUsA8//NB3TNq0aUNeteBNhlOiy7ntsX1/AAAAgLgiWXCJrV271pU4a5Njbeh26623WuPGjX2zmfwFz9QCAAAALpWrrrrKLV2jpS337NljefLksSeffDJO59AeBlqnP3hCjLf0pn7uT8cG++mnn3wb+3p0Pv/ljrzjJPjY+FC79Bx63cH7DsRXTK/NuxY7d+6MdJyul/ZhUFVBYr4/AAAAgD+SBck0i8l/1pLWVtWGY8HUGYjvskQAAABAfFy4cCFSDKolbDSD/ezZs3E6l5bHOXjwoC1evNh33/nz592MeO15oIpbfxr4PnDggO/7TZs2ubX5vQ2T/U2fPt33/4qt9b32Q2jUqJElVLNmzdzX4Bhd7Y6vmF6bBv8rV67sNjFWNbJHe5F99NFH7lom9vsDAAAA+GPPgkusdu3aropAa4xqYzdVD7z66qshS561/qg6VkOGDLFq1aq5DlWrVq0udZMBAAAQRv755x+3H0HHjh2tUqVKLgbVpsGbN2+2SZMmxelcvXv3tlmzZrlNe7/++ms3i37p0qW2YcMGmzp1qmXPnj3SngB169a1vn37uoFvHaMZ88OGDQs4LlOmTG4TYsXU2iRYy+8sX77cRo4cafny5UvwNVAc3qFDB/f8qgquWbOm24zZq16ITwVwbF6blhNS8qBWrVrWs2dPO336tEtQ5MyZ08aMGZPo7w8AAADgj2TBJaYOwQcffGAPPvig2+RYiYMuXbq4GVDeDCaPyoq3bNlic+fOtSlTprjSZJIFAAAASEpZsmRxcahms7/99ttuOR4NdGuWvQa64yJz5sxuGc7hw4e7GfN///2328BX8a0SCMG0Sa82FtZA+uHDh6169equYkCz7oOrdZUsUHseeughl3QYPXq0PfbYY5ZYFixYYAULFrTXX3/d3nnnHbd0qCbyqP1KVsRVbF6bnkOvy3stqpRQ9YX2N/M2W07M9wcAAADwlybictnFC3G2fft2q1ixohWv3cQyZsvBFbyM7Vy1NLmbAAAALlHspmVntFltONm7d68bDNfM+qFDh0Z7rJIMqk44efKkXWqayFOlShVbuHCh3XXXXYn+2pLrM7e2SyMrm4f+AlKGglPfTu4mAAAQtv0F9iwAAAAAgCBaAiiYqgJUHXDzzTdzvQAAAJDqsAwRAAAAAASZMGGC22ehQYMGli5dOrcvgm7ah6Fo0aJuo+EjR45Ee920nwAAAABwuSBZEAaWz54SdqXsAAAAQELUrl3bVq9ebU888YRb8qhYsWJuk+FHHnnE/Xz//v2+fQSior0HQu3NkNLkHT7NCtJfAAAACHskCwAAAAAkqxIlSlhst1KbN2+euyW1Jk2auFtUtPmxkgnRKVWqVJxeGwAAAJCcSBYAAAAAQBxlypTJGjduzHUDAABAqsEGxwAAAAAAAAAAhDmSBQAAAAAAAAAAhDmSBQAAAAAAAAAAhDmSBQAAAAAAAAAAhDmSBQAAAAAAAAAAhDmSBQAAAAAAAAAAhDmSBQAAAAAAAAAAhDmSBQAAAAAAAAAAhDmSBQAAAAAAAAAAhDmSBQAAAAAAAAAAhDmSBQAAAAAAAAAAhDmSBQAAAAAAAAAAhDmSBQAAAAAAAAAAhDmSBQAAAAAAAAAAhDmSBQAAAAAAAAAAhDmSBQAAAAAAAAAAhDmSBQAAAAAAAAAAhDmSBQAAAAAAAAAAhLl0yd0AJL2WvQdbxmw5uNQp2M5VS5O7CQAAAAhTR58eaAfzxL2/UHDq20nSHgAAACQPKgsAAAAAAAAAAAhzJAsAAAAAAAAAAAhzJAsAAAAAAAAAAAhzJAsAAAAAAAAAAAhzqSJZsHbtWkuTJo37CgAAAAChzJs3z/Ub9u7dywUCAAAAUmOyIJRFixbZ1KlTk7sZAAAAQNhIyhj81KlTNmbMGCYI+fnhhx/cNSH5AQAAgMSQKpIFN998s50+fdp99ZAsAAAAAFJXsmDs2LEJShZ07drV9RuKFy9uqSVZoGtCsgAAAACJIZ2lAldccYVlypQpuZsBAAAAIJFdvHjRzp07lyjnSps2rbsBAAAAuIwrCw4cOGA9e/a0QoUKWcaMGa1kyZLWt29f13EI3rOgfv36tnz5ctu3b5+7X7cSJUrYyZMnLWvWrDZw4MBI5//tt99cx2H8+PGxbpPO269fP3vttdesbNmyLmFRtWpV+9///hfp2G+//dZatGhhOXLksGzZslmjRo3syy+/DLmGqh7fp08fy5Mnjzv+7rvvtmPHjsXrugEAAAAxxdn33HOPFShQwMXZFSpUsFdeecX3cy/WXrJkiT355JNWpEgRF/cqnt29e7fvuKhicM/Zs2dt9OjRVqZMGfc8RYsWtWHDhrn7o4qx1RYd++KLL1q+fPnczzWT3ju/luCRrVu3Wvfu3a1UqVKubQULFnSv6c8//4xxzwK18dZbb7X169db9erV3eN1ngULFoR8rI4bMGCAa0+uXLlc3K4+yfHjx13cfuWVV7qbXltERESkxIcqL/S69Dy65np8cKwfmzapPbfddpv7/wYNGviuCfu4AQAAIFVXFvz+++8uSFYA3rt3b7v22mtdp2bp0qWuHDnYI488YidOnHAJgClTprj7NECvW7t27Wzx4sU2efLkgFlFr7/+ugvm77rrrji1bd26de586jCoIzNjxgxr3ry5bdq0ySpWrOiO2b59u910001u4F+dhvTp09usWbNch0qPr1GjRsA51TlSx0Odn507d9rMmTNdp8vrqIVy+PBhO3LkSMB9/p03AAAAINihQ4esZs2avgF6DYB/+OGHbpLO33//bYMGDfId+/TTT7uK3qFDh7pYe8KECS523rhxY7QxuDdI3rp1azf4rXi+XLlytm3bNnfcTz/9ZMuWLQto16effuqSE2pT3rx5rVKlSi4m1mQhxfPt27d3x11//fXu6+rVq+2XX36xHj16uESB4u/Zs2e7r5qgE1UM7R83d+zY0b3ubt26uWSJkg+aCKSBfX/9+/d3z6Gkhc6t51Hs/vnnn1uxYsXsqaeeshUrVtizzz7r+gNKIHiUGNAgv9qp/sOePXts+vTpbmLRhg0bXD8htm3SEqw6x3PPPWcjR45011S8r8HoLwAAACBVJAtGjBhhBw8edB2RG2+80Xf/448/Hmm2jjRp0sQKFy7sZuh06dIl4GcK1jVLSR0KDep7Fi5c6AJuBfhx8f3339tXX33lgna54447XJXBY489Zm+//ba779FHH7X//vvPdY40I8hrh45T8kAJA38ZMmSwTz75xNdZ0JqqOu799993naxQlKRQhwUAAACILQ3wX7hwwQ3cq6pV7rvvPuvcubObuKLBbc+ZM2dsy5YtLlYVzZ5Xxa7iYQ2KRxeDay+Djz/+2MW9devW9d2vx+n5NNBeu3Zt3/2aMKM2lS9f3nefYmclC5QgCD7//fffbw8++GDAfUqC6HUoBtfEnejo+VTd6x3XqVMnV/kwd+5cmzhxYsCxqgZQMkAJCD2vBvWVGNC1UkJDlBBRdYAG+L1kgdoxZ84c1xe58847fedTVYD6JW+++WbA/TG1Sf0K/UzJAl17TUSKDv0FAAAAXPbLEGkWkmYatWrVKiBR4IlpllCwxo0bu6WMFKR71MFR6XJwpyM2atWq5UsUiJINbdq0sVWrVrmOl24fffSRtW3b1pcokKuuusp1BtRp0Kwtf+pc+M8qUqcoXbp0rlMSFXVU9Dr8b8EztAAAAACPJt289dZbLs7W/x89etR3a9asmasS+Oabb3zHaza8lygQbxBbM/pjooFwzXhXhbD/8zRs2ND9fM2aNQHH16tXLyBREJPMmTMHJDV0biULxP81REXP5Z9QUIWFkhOhXptm+vv3QVQlrOun+z2qYFbfxf/xugY5c+Z0A/v+10B9CVVgBF+DuLQpNugvAAAA4LKvLNDSOhpM95b0SSiVTqtcWrN+tIRRlixZXOJA64B6a37GxdVXXx3pvmuuucad21sWSP+vwD6YOkxKhuzfvz+gvDn4nOo8KLngv7ZqsPz587sbAAAAEBuKVbXMp5bR0S2qpWtUQSDBFbje/bHZW2vXrl22Y8cO374DoZ7Hn/Yni4u//vrLVdm+8cYbkc6lpEdMQlUX6/WFem3BxyoBIJr1H3y//+N1DdSWqGL24HbHpU2xQX8BAAAAl32yICmoFFilwpp5r9JklUVrAzEv0AcAAABSO01aEVXXak38ULTkzw8//OD+33+/L3+hlgUN9VzXXXed2zcslOCBdv9KgdjQEj1ayuihhx6yypUru8k2ek4t7+O9zujE5bVFdWyo+/0fr3ZowN6/wtlfcCIlIdcbAAAASJXJAgXN2hhYy+rERXTLE6lKoUqVKi5QL1KkiP3666/2/PPPx6t9miEUTJu0qWLBC/j1/1pzNNiPP/7oKh2CO0c6p9Yu9Zw8edL++OMPu+WWW+LVRgAAACCYYtXs2bO7ZTO1VGdUvGRBQmLw0qVL23fffWeNGjWK8zKiMZ1bM+2135cqC7RvWHRxenLSNdC+DXXq1IlzMiQq8b2WAAAAwGW5Z4EG07Xevzb31UbCsZ1ZkzVr1mhLjrt27er2Epg6darbzK1Fixbxat8XX3wRsA6qlhR69913rWnTpm42kG76f93nv4zQoUOHXEWDNnhTMsSfysC1IbJHSyadP38+3m0EAAAAgilO7dChg9u3INTEHG9JzbiIKgbXzP8DBw7YSy+9FOlnp0+ftn///TfGc2sCjmjppFAz8IP7BYrzUxJdAyVmnnjiiUg/U6wf/Lpie70lPo8FAAAALrvKAnnqqafcwL42OtPmv1rrXzPttUmYNggORRuFLV682IYMGWLVqlVzpcjavM2jzYWHDRtm77zzjttA2H9D4bhQlYI2gBswYIBlzJjRZsyY4e7XzCbPuHHjbPXq1S4xoI3FtFnxrFmz7OzZszZhwoRI5zx37pybdaUOhSoSdE49tnXr1vFqIwAAABDK008/7TbW1Sa9vXr1cpvqav1/TYbRLHj9f1xEFYNros6SJUvsvvvuc8+n2fUaOFelre5ftWqV2xA4OpqNr/bp/NojLHfu3C4W1+3mm292cbUm3BQuXNj1Hfbs2ZOi3nT1Zfr06WPjx4+3LVu2uAlF6oOoAkL9mmnTplnHjh3jdE4tuaRkyTPPPOOSNOqPaNNo9jIDAABAqk0WKODfuHGjjRo1yi0dpA2PdZ9m2nszjIJpUF5B+Ny5c23KlClWvHjxgGRBgQIFXIC+YsUK13lJSNBfq1YtlxzQckbqwMybN8+t7+rR5sWfffaZjRgxwnUOtF6pOmQLFy50X4NNnz7dvU6VUavDo30VnnvuOcqMAQAAkKgUE2/atMkef/xxe/vtt90kFVXdKn7VAHRcRRWDq1pY+4XpvgULFrgJO4rjS5UqZQMHDnSD/7ExZ84c69+/vw0ePNhNsBk9erRLFqhiV/e/8MILrsJAcf6HH35ohQoVspTkxRdfdAkVTRwaOXKkm0RUokQJt2+EEihxVbBgQXdO9TF69uzpEjBKxpAsAAAAQHykiQjjHbLatWtn27Zts927d8d7jdAHHnjADe4nBiUZevToYZs3b45xZlVsbN++3XWeitduYhmzBS51hJRl56qlyd0EAACQzLzYTUsCabAeuFSfubVdGlnZPHHvLxSc+naStAsAAADJ019I8XsWJBUtY7R8+fIEVRUAAAAAAAAAAJAaXBbLECUmrV26YcMGV8KsNUK1bmiwgwcPxrheas6cOe1ysXz2FGanAQAAAAgp7/BpVpBqFgAAgLAXdsmCdevWuaV+ihUrZvPnz3frfAa76qqroj1Ht27d3JJBAAAAAAAAAACkBmGXLOjevbu7RWf16tXR/tzbKC2xt3uITdsAAAAAAAAAAEhsYZcsiI3GjRsndxMAAAAAAAAAALhkwnaDYwAAAAAAAAAA8H9IFgAAAAAAAAAAEOZIFgAAAAAAAAAAEOZIFgAAAAAAAAAAEOZIFgAAAAAAAAAAEOZIFgAAAAAAAAAAEOZIFgAAAAAAAAAAEOZIFgAAAAAAAAAAEOZIFgAAAAAAAAAAEOZIFgAAAAAAAAAAEOZIFgAAAAAAAAAAEOZIFgAAAAAAAAAAEOZIFgAAAAAAAAAAEOZIFgAAAAAAAAAAEOZIFgAAAAAAAAAAEOZIFgAAAAAAAAAAEOZIFgAAAAAAAAAAEObSJXcDkPRa9h5sGbPl4FKnUDtXLU3uJgAAAAAAAAAIc1QWAAAAAAAAAAAQ5kgWAAAAAAAAAAAQ5kgWAAAAAAAAAAAQ5kgWAAAAAAAAAAAQ5kgWRGPevHmWJk0a++qrry7dOwIAAAAkgzFjxrjY9+jRo8nyvMnRxpUrV1rlypUtU6ZM7rzHjx+37t27W4kSJRLl/AAAAMDlhGRBCvX777+7ztCWLVuSuykAAADAJfXUU0/ZsmXLkvQ5/vzzT+vUqZNlzpzZXnjhBXv11Vcta9askY47deqUi8vXrl2bpO0BAAAAklu65G4Aok4WjB071s1q0mwnAAAAIJySBR07drS2bdsm2XNs3rzZ/vnnH3viiSescePGvvtfeuklu3jxYkCyQHG51K9fP8naAwAAACS3sEsWKPA/d+6cKzUGAAAAEJ4OHz7svubKlSvg/vTp0ydTiwAAAIAwXYbIW2/0p59+si5duljOnDktX758NmrUKIuIiLD9+/dbmzZtLEeOHFawYEGbNGlSwOPPnj1ro0ePtjJlyljGjBmtaNGiNmzYMHe/Pz1Hv3797LXXXrMKFSq4Y7U2qRw4cMB69uxphQoVcveXLFnS+vbt65IJwc81ZMgQ1z6VJrdr186OHDkScMy7775rLVu29J2rdOnSbpbShQsXAo7TbKSKFSvaDz/8YA0aNLAsWbJY4cKFbcKECb5jVOJcrVo19/89evRwr0E37aEAAAAAJCVv3X4NoitGVzyq2fX+Fi5caFWrVnVL+OTOndvuuOMOF7/7++yzz+y2226zYsWK+eL1wYMH2+nTp6N9fsW9//77r82fP98XB6s9cW1jdBSTd+vWzf2/4m7/5/Dfs2Dv3r2uDyCqLvDao76Md2y2bNlcv0JVEPp/HT906NBI/QBNWpo6darrk2jiUoECBaxPnz527NixgOO0X1qzZs0sb9687vqqj3LPPfcEHPPGG2+46589e3bXX7ruuuts2rRpsX79AAAAQIqsLLj99tutXLly9vTTT9vy5ctt3LhxrsMxa9Ysa9iwoT3zzDNuoF8BtwL5m2++2QXarVu3tvXr11vv3r3d47dt22ZTpkxxyYfg9U0//fRTW7JkiUsaKOhW8K9lfqpXr+46GjrHtdde64L8pUuXuo5GhgwZfI/v37+/XXnllS45oQ6Dgnyda/Hixb5jNJCvzoGSCvqq53zsscfs77//tmeffTagPeoQNG/e3Nq3b+/WSdVzPvzwwy7Ib9GihXs9jz/+uHu82nbTTTe5x9WuXTvamVHBCYzdu3cn+P0BAABAeFF8qgHq8ePH2zfffGNz5syx/Pnzu7hcnnzySTfBR8fde++9LgZ9/vnnXZz+7bff+mbqv/nmmy6u1mScPHny2KZNm9xxv/32m/tZVLR3gM6rWF2xsGgiTlzaGJNHHnnEypYta7Nnz3Zxt84V/Byigf+ZM2e616AJQ4rf5frrr/cdo6SABvdr1KhhEydOtI8//thNdNL59DiPEgPqMyixMWDAANuzZ49Nnz7dXbMNGza4igbF9E2bNnXPO3z4cHct1f94++23fedZvXq1de7c2Ro1auR7vTt27HDnGDhwYJSvmf4CAAAAUnyyQJ0AJQZEnQEN5D/44IMu8NcAuigY1oz9V155xXVCFi1a5ILwdevWWd26dX3n0oz9++67zz7//POAgfWdO3e6ZEL58uV992km0cGDB23jxo124403+u5XZ0GVDf7Uufnoo4/cLCJRsuK5556zEydOuJlMojZp5o9H7dBtxowZLgGi2VQeJSoWLFhgXbt2dd+ruqF48eL28ssvu2SBZhnpq5IFtWrVcpUXMdHzeGupAgAAAPFVpUoVF5f6bwSs7zUwvW/fPjeBRvHtyJEjfcdoEF2PU0zq3a/j/eNjxfqqCtbPf/31V1dxEIpiX8XRpUqVijIOjq6NsdGkSRM3UUjJAsXd/v0Bf6oq1t4JGvRXgiBUe86cOeMmQCmBImr7DTfc4NrjJQs0yUkJDU2CuvPOO32PVaWxJhEpeaL71Y/RxCL1PfzbpOvt0QQrVROsWrXK0qZNa7FFfwEAAAApdhkij2YNeRTsKijWYL0G0D2aUaOZP7/88ov7XsG0Zt+rGuDo0aO+myoRZM2aNQHPUa9evYBEgQb7VX3QqlWrkB0DLyng37Hxv08z/TWDSJ0lj39HSBulqT06TrOpfvzxx4DzqfLAv6OhKgYlTbzXFx/333+/ff/99wG34AoLAAAAICYa7PanmFaD8aqY1Qx3xdKa2e8fh2vZ0KuvvjogDvePj7WskI7ThB7F+ppNn1RtTA6h2uMf26v/oklGSlL4XzctJaS+gXfdvKqMDz74wP7777+Qz6VjdD1VYRAX9BcAAACQ4isLgmcUKYjWGp5aLij4fnUAZNeuXa7U1ls/NKrNyjwqK/anUml1JFSJEJ82akki8V9fdPv27fboo4+65YeCOymqQPBXpEiRSAkJnXPr1q0WXyq71g0AAABIiOhiX8XhGuxXYiAU/82BVT2gStn33nsv0rr8wfFxYrZRs+4vJfVdgvslao//a9Z102uOKl73+i+a5NShQwdXMawlVrW3gvZCUNWBV6msQX8tsaqKCO19pmWLlLxRhUJ06C8AAAAgxScLQpXORlVO6y0PpNlMWt9/8uTJIY/T5mn+/Gc1JVYb/dujfQ8U2KtjomWMtD6pOg1aP1VLKam9cTkfAAAAkFyii1UV12rSy4cffhjyOM2SF1Xhahb9X3/95eJhVQRrSR8t/aNNgYPj48Rs46UWm6WA9Ho1WK9liELxkg26ttrP7Msvv7T333/fLTWkzY21B4Lu0/XVebZs2eJ+pvdBt7lz59rdd9/tNoUGAAAALttkQXxoMP67775zm3oFz9CPDQXjGtjXUj2JYe3ata7qQWXZ2lPBo03L4is+rwsAAABI6jhcA/Kq3L3mmmuiPE77hf30009u8FqD2J7YLp2TkmLhxGiLrpv2XKtTp06sJjLVrFnT3bSZtPZGu+uuu+yNN97wLeGqZUy1pKpuSkSo2kD7wGnfBO0LAQAAAFyWexbEh8psNSvppZdeivSz06dPuzU8o3PFFVe4cl7N1vnqq68SPCPJm03k/7hz5865TcTiSzOvvKoFAAAAICXQRsaKfbVMTnDMrO+9ZUNDxcf6/2nTpsU6Fk4pcXCWLFnc14S0R/0XVVs88cQTkX52/vx537m1dFHwda1cubL7evbsWffVu8b+fRttvux/DAAAABA2lQVdu3Z163RqIzFtBqYZOgq+tZGw7ldJbqiNi/099dRT9tFHH7nlg7SBsTZM/uOPP9zmY+vXr/dtLhYb2qhN65J269bNBgwY4GYfvfrqqwkqg9bsI7XhxRdftOzZs7sOU40aNSLtvwAAAABcKopRx40bZyNGjLC9e/e6CTiKVVVR+84777i4eujQoW7ZIR2r/9ckH1X1vvXWW5H2LoiKNv7VTHwtO1qoUCEXAysWTg6qBChfvrwtXrzYVVPkzp3b7X0W2/3PRH2OPn362Pjx490SQtpnQPs7aC8D9T+UROnYsaOrxNCEo3bt2rnr988//7gJUrp+t9xyizuXqgu0vFPDhg3dXmj79u2z559/3iUV1KcBAAAAwipZoNkzy5Ytc5t+LViwwHVMNOOnVKlSNnDgwGhLoj3aDGzjxo2uVFdrh2pTYt2njcK82UOxlSdPHvvggw/swQcfdJscK3HQpUsXt0xSs2bN4vUa1XlQZ0EdMSVFNONIa5GSLAAAAEByGj58uIu3FYurwsDbM0wD4K1bt/bFsqri1UQaDZBrPy8NgPfr188qVaoU43MoSaDEg2JrVQ5rUk5yJQtkzpw51r9/fxs8eLCrIB49enSckgWiSUBKgmi5oJEjR1q6dOmsRIkSrt+gyU9eUmHTpk1uyaFDhw5Zzpw5rXr16q6/4vUDdPzs2bNdUkEVCQULFrTbb7/dxowZ4/pJAAAAQHyliWBX3VRr+/btrhNTvHYTy5gtR3I3B1HYuWop1wYAAPhiN+2rVaFCBa4IkhyfOQAAgMvH9kvQX2DqCQAAAAAAAAAAYe6yXIYIAAAAAEI5ceKEW7ooOlq6BwAAAEAgkgVhYPnsKZSyAwAAICxoDzPt/RUdVmIFAAAAIiNZAAAAACDVGDZsmNsEGAAAAEDckCwAAAAAkGqUL1/e3QAAAADEDRscAwAAAAAAAAAQ5kgWAAAAAAAAAAAQ5kgWAAAAAAAAAAAQ5kgWAAAAAAAAAAAQ5kgWAAAAAAAAAAAQ5kgWAAAAAAAAAAAQ5kgWAAAAAAAAAAAQ5kgWAAAAAAAAAAAQ5kgWAAAAAAAAAAAQ5kgWAAAAAAAAAAAQ5kgWAAAAAAAAAAAQ5kgWAAAAAAAAAAAQ5kgWAAAAAAAAAAAQ5kgWAAAAAAAAAAAQ5kgWAAAAAAAAAAAQ5kgWAAAAAAAAAAAQ5kgWAAAAAAAAAAAQ5kgWAAAAAAAAAAAQ5tIldwOQ9Fr2HmwZs+XgUqcAO1ctTe4mAAAAAAAAAEAkVBYAAAAAAAAAABDmSBYAAAAAAAAAABDmSBYAAAAAAAAAABDmSBYkgXnz5lmaNGls7969cXpc/fr1rWLFiknRJAAAAACplPoRugEAAAAJQbIAAAAAAIJ8/vnnNmbMGDt+/DjXBgAAAGGBZEES6Nq1q50+fdqKFy+eFKcHAAAAcAmSBWPHjiVZAAAAgLBBsiAJpE2b1jJlyuSWIgIAAACQel28eNHOnDmT3M0AAAAAEoxkwSXas2DGjBlWoUIFy5gxoxUqVMgeeOCBKGcpff3111a7dm3LnDmzlSxZ0l588cWkaCYAAACAELT80EMPPeT+X/G4YnsvvtfXfv362WuvveaL71euXOmOnThxoovj8+TJ42L5qlWr2tKlSwPOrT3KGjRoEDLpULhwYevYsWPAfVOnTnXPo8lIBQoUsD59+tixY8d43wAAAJDo0iX+KRGqs6ES5saNG1vfvn1t586dNnPmTNu8ebNt2LDB0qdP7ztWgf8tt9xinTp1ss6dO9uSJUvcYzJkyGD33HNPlBf38OHDduTIkYD7du/ezZsBAAAAxFH79u3tp59+stdff92mTJliefPmdffny5fPff30009dnK6kgX5WokQJd/+0adOsdevWdtddd9m5c+fsjTfesNtuu80++OADa9mypTvm9ttvd/2DgwcPWsGCBX3PuX79evv999/tjjvu8N2nxIAmIvXo0cMGDBhge/bssenTp9u3334bqR8RE/oLAAAAiAnJgiSmAfzx48db06ZN7cMPP7Qrrvi/Yo5rr73WdS4WLlzogn+POgiTJk2yIUOG+DoINWrUsBEjRri9EKLqEKhyQQkJAAAAAAlz/fXX2w033OCSBW3btvUlAzya/LNt2zYrX758wP1KMKiiwKN4X+eZPHlyQLLgsccecxUH+rln8eLFli1bNt9xSh7MmTPHVTDceeedvuNUldC8eXN78803A+6PCf0FAAAAxIRliJLYxx9/7GYVDRo0yJcokF69elmOHDls+fLlAcenS5fOJQg8qijQ95oJpOWJonL//ffb999/H3BbtmxZEr0qAAAAIHzVq1cvUqJA/BMFqhg+ceKE3XTTTfbNN9/47r/mmmuscuXKLjnguXDhgksetGrVyncOJQNy5sxpTZo0saNHj/puWtpISYU1a9bEqc30FwAAABATKguS2L59+9zXsmXLBtyvJECpUqV8P/doP4OsWbMG3KcOhWiN1Jo1a4Z8nvz587sbAAAAgKSlfQxC0XJD48aNsy1bttjZs2d992ufA3+qLhg5cqQdOHDA7VOwdu1aNzlI93t27drlkg1Rxfg6Pi7oLwAAACAmJAsAAAAAIA78Kwg8n332mduv4Oabb3ZL/lx11VVuCdG5c+faokWLAo5VUkDLjKp6QBXI2v9AVQRaXsh/c2MN8GsZolC8/RMAAACAxEKyIIkVL17ct66pKgk8WppIG5Rp02N/2rPg33//Dagu0NqnErxWKgAAAICkEVwNEJO33nrLMmXKZKtWrbKMGTP67leyIFRlQvXq1d1SRNq34O2333Z7I/g/rnTp0m5J0zp16oRMTgAAAACJjT0LkpiSAVpy6LnnnrOIiAjf/S+//LIrK/Y2MPOcP3/eZs2aFZBU0PeaOaT1SQEAAAAkPW/yzvHjx2N1fNq0aV2CQfsPeLSMaFT7iKm64Msvv7RXXnnF7UXgvwSRdOrUyZ3riSeeiPRY9Rli2y4AAAAgtqgsSGIa5FeJ8dixY11ZsUqTVWWg0uRq1apZly5dIu1Z8Mwzz7iOhfYq0GwjrXk6e/ZsV8YMAAAAIOl5E3UeeeQRu+OOO1wsrg2Io6JJQJMnT3Yx/5133un2FHjhhResTJkytnXr1kjHKxkwdOhQd8udO3ekimNtotynTx8bP3686w80bdrUtUF7GWj5omnTplnHjh2T4JUDAAAgXJEsuATGjBnjkgbTp0+3wYMHu85A79697amnnoqUALjyyitt/vz51r9/f3vppZesQIEC7nG9evW6FE0FAAAAYOYm9mhW/4svvmgrV650ewhoGdGoNGzY0FUPP/30024fAi015E0CCpUsKFKkiNWuXds2bNhg9957b8iJQXpuJS1UaawNkdOlS+eWJtWEIy1PBAAAACSmNBH+a+MgUaiToIB///79rhOQXLZv324VK1a04rWbWMZsOZKtHfj/dq5ayuUAAADRxm7ff/+9VahQgauEJMdnDgAA4PKx/RL0F9izIAn88ccfbr1SVRAAAAAAAAAAAJDSsQxRIjp06JAtXbrUlQvXqlXLsmTJkpinBwAAAAAAAAAgSZAsSEQ7duywhx56yKpXr+72G0gpls+eQik7AAAAAAAAACBKJAsSUf369e3UqVOJeUoAAAAAAAAAAJIcexYAAAAAAAAAABDmSBYAAAAAAAAAABDmSBYAAAAAAAAAABDmSBYAAAAAAAAAABDmSBYAAAAAAAAAABDmSBYAAAAAAAAAABDmSBYAAAAAAAAAABDmSBYAAAAAAAAAABDmSBYAAAAAAAAAABDmSBYAAAAAAAAAABDmSBYAAAAAAAAAABDmSBYAAAAAAAAAABDmSBYAAAAAAAAAABDmSBYAAAAAAAAAABDmSBYAAAAAAAAAABDmSBYAAAAAAAAAABDmSBYAAAAAAAAAABDmSBYAAAAAAAAAABDmSBYAAAAAAAAAABDm0iV3A5D0WvYebBmz5eBSJ7Odq5YmdxMAAAAAAAAAICQqCwAAAAAAAAAACHMkCwAAAAAAAAAACHMkCwAAAAAAAAAACHMkCwAAAAAAAAAACHMkCwAAAAAAAAAACHMkC+Jh0aJFNnXq1Hhf9FOnTtmYMWNs7dq18T4HAAAAgPBFnwIAAACJjWRBMiULxo4dS7IAAAAAAH0KAAAApAgkCwAAAAAkq4sXL9qZM2dSzLuQ0toDAAAAXAokC0L4559/bNCgQVaiRAnLmDGj5c+f35o0aWLffPON1a9f35YvX2779u2zNGnSuJuOk3Pnztljjz1mVatWtZw5c1rWrFntpptusjVr1vjOvXfvXsuXL5/7f1UXeOfQskSeH3/80Tp27Gi5c+e2TJky2Y033mjvvfde0n8aAAAAgATSUpuKXxXHli5d2mbNmuViXcW8Hv1/v3797LXXXrMKFSq4mHvlypXuZ99++621aNHCcuTIYdmyZbNGjRrZl19+Gel5jh8/boMHD/bF7EWKFLG7777bjh496jvm7NmzNnr0aCtTpow7pmjRojZs2DB3v79Q7fnwww/dudu0aRPpuZVIULzfp0+fWF8XnevWW2+19evXW/Xq1d31KVWqlC1YsCDka1N/RO1VW9T+Z555xiUxYtunAAAAAOIqXZwfEQbuu+8+W7p0qeswlC9f3v78808X1O/YscMeeeQRO3HihP322282ZcoUd7w6MfL333/bnDlzrHPnztarVy+XdHj55ZetWbNmtmnTJqtcubIL6mfOnGl9+/a1du3aWfv27d1jr7/+evd1+/btVqdOHStcuLANHz7cJRyWLFlibdu2tbfeess9JpTDhw/bkSNHAu7bvXt3El8pAAAA4P/TQH/z5s3tqquucoPYFy5csMcff9w3sO3v008/dXGuYu68efO6wXTFwppso0SBBvXTp0/vkg2asLNu3TqrUaOGe+zJkyfdcYrP77nnHrvhhhtckkATbBSn63waWG/durWL43v37m3lypWzbdu2uRj+p59+smXLlkXbnpIlS1qXLl1swoQJ9tdff7mJPJ7333/fxf76eVwoPtekoJ49e1q3bt3slVdese7du7vJRkpSeEuW1qtXzw4cOOCSEcWKFbPPP//cRowYYX/88YdbDjWmPkUo9BcAAAAQkzQRERERMR4VZnLlyuUC/+nTp4f8uWYEff/9925Gjz91hnTLkCFDwKyga6+91lq2bOkSB6KOjAJ8zXIKnv3TuHFjF8hv3rzZzSISvUV169Z1yQB1bELRedQhC6V47SaWMVuOOF4FJLadq5ZyUQEAQJQ0UF6xYkUXZ3oDx5cbDc5/8skntmvXLitUqJBvgFwD9efPn3dxrWgW/BVXXOEG7zU5x6OB7xUrVrgkgGbdiwbIy5Yta1WqVHEJA1EcrSTE22+/HWkyjZ5D51+4cKEbkNdjFEt7lHzQ5KANGzZY7dq1o22PYm89twbm9RiPqg22bt1qv/zyS0DFRHSUDFF18v/+9z+X6BDF96oeUIJi4sSJ7r5x48bZ008/7RIvV199te/xShY8++yztmfPHveY6PoUce0vXM6fOQAAgHCx/RL0F1iGKIpkwcaNG+3333+P08VMmzatL1GgmUyagaROkcqwtYRRTHS8ZjR16tTJVSWoA6CbKhtUnaBOl2YYhXL//fe7D4r/LXi2FAAAAJBUNGnm448/dhWxXqJAtISOlhUKptnz/gPzevxHH33kHu8lCkRVCnfeeaerENBsflHFbaVKlUJW3XqD92+++aZLUmjijhdX69awYUP3c/+lQkO1R6655hpXzaDlifxjdi1RdNddd8U6UeDR+b1EgWiwX8kIJR08areOufLKKwParUlFukZKNsQH/QUAAADEhGWIQlCpsWYhacaOSoJvueUWt/6pf6clKvPnz7dJkya5fQf+++8/3/0qY46JZl1pJtSoUaPcLRRVHWiJomDaV0E3AAAAIDkoTj19+rRLDgQLdV9wfKxZ9lqCR4PnwTTor8k4+/fvd7Oofv75Z+vQoUO07dFEG1UohFoCyWtvdO3xqB+gmf+qCihevLgbzFec37VrV4srLSkUTEmBY8eOBbRbVQuxbXds0V8AAABATEgWhKCZ/ZrN884777jZTSr31YZiKnMONSvKo1JnrTmq2VAPPfSQC8hVbTB+/HjXoYmJt2HZ0KFDXSVBKKE6WgAAAMDlJnPmzEl6fsXW1113nU2ePDnkzzUxKDbtueOOO9xGyqouGDlypIv5VTkcKqkRE/UNQvFfGVbtbtKkiduzIRRVOwAAAABJgWRBFFTurFJd3TR7R5umPfnkky5ZEFW5sTZFVvWBkgr+x2gdUX9RPd6rXNBGbiozBgAAAC4XmiiTKVMmVy0bLNR9wTSTPkuWLLZz585IP1PVrvYU8Ab4S5cu7ZbdjI6O+e6776xRo0ZxXi7InzY21v5jShZo6SHtdaBNhpOK2q0NnGPqDyTkNQEAAAChsGdBEK0DeuLEiUgdH627evbsWfd91qxZIx3jP1PIf2aQ9j744osvAo5TJ8jb/Dj4eerXr+82XdNGbsFUmg0AAACkRIqFNcCtfbP89/5SokBr/Mfm8U2bNrV3333X9u7d67v/0KFDtmjRIrdJcY4cOdx9WoJIiQBVAgfzYnFVC2u/r5deeinSMVou6d9//431a9OSQz/88IOrHlY7VW2QVNRu9R9WrVoV6WfqP2hPtOj6FAAAAEB8UVkQRBsLFylSxDp27Og2TcuWLZvbqG3z5s1uLwLRPgaLFy+2IUOGWLVq1dwxrVq1sltvvdVVFWijNc0+2rNnj7344otuIzPNDvIvcdZ9OofKiDVbSTtZ6/bCCy+4jpBKpnv16uWqDdRBUofht99+c50iAAAAICUaM2aMW8azTp061rdvXzcRZ/r06S7O3bJlS4yPHzdunK1evdrFw6rwTZcunZtIo0k72lfMo0F7VfXedtttds8997j4XBsPv/feey7+VhyvAf4lS5bYfffd5zYzVpvUHlUp6H4Nxms5odhQbJ8nTx63X4EqjZNyrzC9Nr0O9S20xKlemxIb27Ztc69ZiZS8efNG26cAAAAA4oNkQRDN0FHHRJ0cDfxrzVDtEzBjxgzX4RH9XJ2duXPn2pQpU9xGZ0oWKJg/ePCg69Co86HgXWuaqlOxdu3agOeZM2eO9e/f361/eu7cObdUkQJ7Pearr76ysWPH2rx58+zPP/90nZEqVarYY489Fq83GQAAALgUNLCtKgLtwTVq1Ci3bNDjjz/uNhrWIH1MtHnxZ599ZiNGjHD7fikWr1Gjhoup9dWjyTo6TjG0qgvmz5/vYmYtOaSJP6Jli1TloHh9wYIF7jjF+pqMM3DgwDit/Z8hQwa7/fbbXZ8gPhsbx4XauG7dOnvqqadcP0JtV0WF2qs+Qs6cOWPsUwAAAADxkSbCf80cpCrbt293nYXitZtYxmz/V7KN5LNz1VIuPwAAiDF201r8GjRPTdq2bete365du+xypQH5l19+2U0O8pYAutyl5s8cAABAarP9EsRu7FkAAAAAINFoPwB/ShCsWLHC7c11uTpz5oyrbtBeCaklUQAAAAAEYxkiAAAAAIlGy/xoeU593bdvn82cOdMt4zNs2LDL7iofPnzY7V+mvQK0PKiWLwp25MgRtxdCVPTatZ8AAAAAkNKRLAgDy2dPoawYAAAAl0Tz5s3t9ddfd8v1ZMyY0WrVquXW37/66qsvu3fghx9+sLvuusvth/Dcc89Z5cqVIx1TrVo1lxSJSr169SLtXwYAAACkRCQLAAAAACSauXPnppqrqaWTYtri7bXXXou09JK/K6+8MglaBgAAACQ+kgUAAAAAEE916tTh2gEAACBVYINjAAAAAAAAAADCHMkCAAAAAAAAAADCHMkCAAAAAAAAAADCHMkCAAAAAAAAAADCHMkCAAAAAAAAAADCHMkCAAAAAAAAAADCHMkCAAAAAAAAAADCHMkCAAAAAAAAAADCHMkCAAAAAAAAAADCHMkCAAAAAAAAAADCHMkCAAAAAAAAAADCHMkCAAAAAAAAAADCHMkCAAAAAAAAAADCHMkCAAAAAAAAAADCHMkCAAAAAAAAAADCHMkCAAAAAAAAAADCHMkCAAAAAAAAAADCHMkCAAAAAAAAAADCXLrkbgCSXsvegy1jthxc6mS0c9VSrj8AAAAAAACAFIvKAgAAAAAAAAAAwhzJAgAAAAAAAAAAwhzJAgAAAAAAAAAAwhzJgmTUvXt3K1GiRHI2AQAAAAAAAAAAkgUAAAAAUq4xY8ZYmjRp7OjRowmehLN37153rnnz5iVyKwEAAIDLX7rkbkA4e+mll+zixYvJ3QwAAAAAKcyiRYvs8OHDNmjQoORuCgAAAMIEyxAlo/Tp01vGjBmTswkAAABAqpiEs3PnTkttyYKpU6cmdzMAAAAQRkgWJBGvxDmqW6hyae8xEydOtClTpljx4sUtc+bMVq9ePfv++++TqqkAAADAZY1JOAAAAEDCkSxIIvny5bNXX3014PbKK69Yzpw53c+is2DBAnvuuefsgQcesBEjRrhEQcOGDe3QoUNRPkYlytu3bw+47d69OwleGQAAAJC89u3bZ2XKlLGKFSu6GDnUngXHjx939yv+zpUrl3Xr1s3dF+zgwYPWo0cPK1KkiKv6veqqq6xNmzZuIk9c91X48ccfrVOnTpYjRw7LkyePDRw40M6cORPp+IULF1rVqlXdxKDcuXPbHXfcYfv37/f9vH79+rZ8+XL3Or3JRv6v7/nnn7cKFSpYlixZ7Morr7Qbb7zRVSJEh/4CAAAAYsKeBUkka9as1qVLl4D7NPh/8uRJW716dbSP1SD/rl27rHDhwu775s2bW40aNeyZZ56xyZMnh3zMjBkzbOzYsYn4CgAAAICU5+eff3YTaTTIrrg6b968kY6JiIhwA/7r16+3++67z8qVK2fvvPOOSxgE69Chg5to079/fzcgr0F1nffXX3+N1abJ/pQo0GPGjx9vX375pZsAdOzYMTcZyPPkk0/aqFGj3LH33nuvHTlyxA3+33zzzfbtt9+6xMYjjzxiJ06csN9++81VHEu2bNl8Sy4NGDDAOnbs6EtGbN261TZu3Gh33nlnlG2jvwAAAICYkCy4RNRBUIA+adIka9CgQbTHtm3b1pcokOrVq7tkwYoVK6JMFtx///122223RUo66FwAAABAaqCZ+40aNXKx8qpVq9ys+lDee+89+9///mcTJkywhx56yN3Xt2/fSHG4Kg0+//xze/bZZ23o0KG++1XdGx8lS5a0d9991zdRSBUG6gPo3Ndff72rFBg9erSNGzfORo4c6Xtc+/btrUqVKu5Y3d+kSRP3GpVoCJ6ApIoDVRW8+eabcWob/QUAAADEhGWILoEtW7a4GU2dO3e2IUOGxHj81VdfHem+a665JtpS6Pz587tOg/9NpdkAAABAaqClObWXl2buf/zxx1EmCkSTbNKlS+cSBJ60adO66gF/WgYoQ4YMtnbtWjcwn1BKEPjznk/tkbffftsuXrzoqgqOHj3quxUsWND1AdasWRPjc6jyQBUHmzdvjlPb6C8AAAAgJiQLkpg6HSpt1mD/nDlzkvrpAAAAgFSpVatWlj17dldRoBn70dEMfu094C3d4ylbtmzA99qjQEt9fvjhh1agQAG3FJCqEbSPQXwET/opXbq0XXHFFb5JP1pqVEsk6TjtY+Z/27Fjh1sCKSYPP/ywe12qPtZ5lKDYsGFDvNoLAAAA+CNZkIQ0a+iuu+5y5c1aI1UbkMWGOhHBfvrppzivmQoAAACkFpqAo/0KXnvttUQ976BBg1ysrX0GMmXK5PYT0B4H2j8gobQxcXD/QPetXLnS7YsQfJs1a1aM51Tbdu7caW+88YbVrVvX3nrrLfdVyxsBAAAACcGeBUlIGw5r5pNmKmn90thatmyZHThwwLdvwaZNm9yGZerIAAAAAOFI+wpoaSGtva8Kg+g28y1evLh98skndvLkyYDqAg2yh6IKgAcffNDdNHGncuXKbq+xhQsXxqmNeqx/3K89xJQg8Cb96HlUWaBjVHkcl0SDv6xZs9rtt9/ubufOnXN7HmjjZO21oIQHAAAAEB9UFiSRbdu22RNPPGE33XSTKydWR8P/Fh3tNaDZQSqB1jlatGhhefLksWHDhiVVcwEAAIAUTYPns2fPto4dO1q3bt3cJsZRueWWW+z8+fM2c+ZM330XLlyw559/PuC4U6dO2ZkzZwLu04C+khFnz56NcxtfeOGFgO+951M8LxrU194JmlSkpIE/ff/nn38GJAROnDgR6Tn8jxHtuVC+fHn3+P/++y/ObQYAAAA8VBYkEQXxCtjXrVvnbsG6dOkS5WPvvvtut7bp1KlTXaJB65FOnz7drbsKAAAAhCvFyJp407ZtW7dJsDYObtiwYcj9DerUqWPDhw93+wVoMF2bCwcPvmv5oUaNGrlz6RhVLmj50EOHDtkdd9wR5/bt2bPHWrdubc2bN7cvvvjCtVUVEJUqVfIlIsaNG+cqANQuvQ4lJvQ4PW/v3r1t6NCh7tiqVava4sWLbciQIVatWjVXIaHX1bRpU7chsl6f9lnQXgfqK7Rs2dKdCwAAAIgvkgVJpH79+pFmCwWbN29elD9Tp0A3AAAAAP9f+vTpbenSpW62fps2bezjjz8OmVRQ5YGW8dSAvaoSNIivpYWqVKniO65o0aLWuXNnt2TRq6++6pIF1157rS1ZssTtkRBXGtx/7LHHXJJC5+rXr59bPsmffqYliKZMmeIqDLx2KAmgNnq03NKWLVts7ty57lgtraRkQZ8+fdy+DZMnT3bLLBUpUsQGDBhgjz76KB8TAAAAJAjJAgAAAAAp1pgxY9zNX+bMmW3t2rW+72vUqBHpcblz57YFCxZEut9/Qo+W+tSs/MSSL18+e/PNN2M8TssR6RYdLUMUajNnVR/oBgAAACQ29iwAAAAAAAAAACDMUVkQBpbPnmIVKlRI7mYAAAAAlxUt86NbTNUEAAAAQGpAsiAFKVGiRIz7HAAAAAC4NCZOnOjbVyAq2pwYAAAASA1IFgAAAABACHfffbfVrVs32mtTsGDBkPsqAAAAAJcbkgUAAAAAEEKpUqXcDQAAAAgHbHAMAAAAAAAAAECYI1kAAAAAAAAAAECYI1kAAAAAAAAAAECYI1kAAAAAAAAAAECYI1kAAAAAAAAAAECYI1kAAAAAAAAAAECYI1kAAAAAAAAAAECYI1kAAAAAAAAAAECYI1kAAAAAAAAAAECYI1kAAAAAAAAAAECYI1kAAAAAAAAAAECYI1kAAAAAAAAAAECYI1kAAAAAAAAAAECYI1kAAAAAAAAAAECYI1kAAAAAAAAAAECYI1kAAAAAAAAAAECYI1kAAAAAAAAAAECYS5fcDUDSa9l7sGXMloNLfYntXLWUaw4AAAAAAADgskBlAQAAAAAAAAAAYY5kAQAAAAAAAAAAYY5kAQAAAAAAAAAAYY5kAQAAAAAAAAAAYY5kQRzMmzfP0qRJY3v37k26dwQAAABIBTZv3my1a9e2rFmzuhh6y5Ytl13MPmbMGHcufyVKlLDu3bvH63z169d3NwAAACAlSpfcDQAAAACQuvz333922223WaZMmWzKlCmWJUsWK168eHI3CwAAAEA0SBYAAAAASFQ///yz7du3z1566SW79957U9XV3blzp11xRfwKtD/66KNEbw8AAACQWEgWAAAAAEhUhw8fdl9z5cqV6q5sxowZ4/3YDBkyJGpbAAAAgMTEngUJNGPGDKtQoYLrNBQqVMgeeOABO378eMAxWpe0YsWK9sMPP1iDBg1cGXbhwoVtwoQJkc6nGVitW7d2a7vmz5/fBg8ebKtWrXJrpa5duzahzQUAAACSlNbzr1evnvt/LUWkONZbp//TTz+1m266ycW6SiS0adPGduzYEekc3377rbVo0cJy5Mhh2bJls0aNGtmXX34Z6bjt27dbw4YNLXPmzFakSBEbN26cXbx4MV7tXr9+vVWrVs0tnVS6dGmbNWtWyOOC9yzw9kjYsGGDDRkyxPLly+deX7t27ezIkSPR7lmg+F6PXbJkiT355JPuNej59Xp3794d6blfeOEFK1WqlHu91atXt88++4x9EAAAAJBoqCxI4IZnY8eOtcaNG1vfvn1dSfLMmTPdZm7qLKRPn9537LFjx6x58+bWvn1769Spky1dutQefvhhu+6661xHSP7991/X2fnjjz9s4MCBVrBgQVu0aJGtWbMmVrO3gjsjoToYAAAAQFLq06ePmxjz1FNP2YABA9wAfIECBezjjz92ca8GuxVHnz592p5//nmrU6eOffPNN24Q3ksAKKGgRMGwYcNcTK2Bew2yr1u3zmrUqOGOO3jwoJuIc/78eRs+fLgboJ89e7YbSI+rbdu2WdOmTd1Av9qmc44ePdq1O7b69+9vV155pXucNleeOnWq9evXzxYvXhzjY59++mm3tNHQoUPtxIkTblLRXXfdZRs3bvQdo36GzqdrowlFeo62bdu651SSISb0FwAAABATkgXxpIH58ePHu07Fhx9+6Fu39Nprr3VB/MKFC61Hjx6+43///XdbsGCBde3a1X3fs2dPt8nbyy+/7EsWqBP0yy+/2LJly9wsK6+zVaVKlVhVOChxAQAAACSnWrVq2dmzZ12yQAPbHTt2dPcrps2dO7d98cUX7qtosFv3a4B9/vz57r5HH33UbZCsmf5KLMjdd99tZcuWdckDJQzkmWeecTG5BtQ1y166detmV199dZzb/Nhjj1lERISbqV+sWDF3X4cOHdzEntjKkyeP25NAlQKiCofnnnvODf7nzJkz2seeOXPGtmzZ4lumSAkATR76/vvvXYXyuXPnbNSoUS7xouqMdOn+rxt3/fXXuyqH2CQL6C8AAAAgJixDFE+aGaWgfdCgQQEbnPXq1cvNglq+fHnA8Sqf7tKli+97dQTUqVFywLNy5Uo3C0vLEHlUhqxzxuT+++93nQn/m5IOAAAAQHJT5awGwzWw7SUKvMHuJk2a2IoVK9z3Fy5ccAPuSiJ4iQK56qqr7M4773QJhL///tvdp8fUrFnTlygQVQZoRn5c6Dm17Kee00sUSLly5axZs2axPk/v3r19iQJRokTn1jKjMdEkI//9DPRY8foKX331lf3555+uX+AlCkSvVYmF2KC/AAAAgJhQWRBPXtCvGU7+FOSrYxPcKdBsH//Ogyiw37p1a8A5tT5q8HFlypSJsT3a30A3AAAA4HKJnb1BeQ3Wa0nOf/75x06dOhXlcZqtv3//frdnmM7pLUnkL9Rjo6PqBC2JFKoiQefyEhkx8U80iDeIr+VIE/pY7/oF9wuUOPCWb4oJ/QUAAADEhMqCSyRt2rQh71e5MwAAAIDwjffpKwAAACAlIFkQT9pvQLSpsT8tTbRnzx7fz+N6zp9//jlSh4KNigEAAJAaY2f58ccfLW/evG6DYi0jlCVLliiP0/KfRYsW9Z1z165dkY4L9djo6Dm1KXJinCupr19wv0AbMWujYwAAACAxkCyIp8aNG7slh7Rpmf/gvjYs1iZmLVu2jPM5tSbqgQMH7L333gvY7Oyll16KbzMBAACAZKc9BypXruw2MT5+/Ljvfu2zpT0KbrnlFt8M+6ZNm9q7774bMAh+6NAhW7RokdWtW9ftDyZ6zJdffmmbNm0KWFLotddei1Pb9JyKw7Xf16+//uq7f8eOHW55pJTgxhtvdBsoq1+gBIFHrzU2yxwBAAAAscGeBfGkGUgjRoywsWPHWvPmzd2mxJp5NGPGDKtWrVrAZsax1adPH5s+fbp17tzZBg4c6DpV6gBok2MJ3ssAAAAAuFw8++yz1qJFC6tVq5b17NnT7RPw/PPPW86cOW3MmDG+48aNG2erV692iQFtyqt1+WfNmmVnz561CRMm+I4bNmyYvfrqqy4WV+ysyoTZs2e7Wfj++4LFhmL6lStXuo2F9ZwakFfbtDdCXM+VFDRJSdeof//+1rBhQ+vUqZNLpsybNy/knmcAAABAfFBZkAAK2DW4rxlIgwcPtiVLlljv3r3d7Kj06dPH+XzZsmWzTz/91HUApk2b5jpK6rCMGjXK/dxLGgAAAACXY2WuBuQ1Q/6xxx6ziRMnWs2aNW3Dhg1WsmRJ33EaoP/ss8+sYsWKNn78eDeQrwTAmjVrAjY01sQa3Xf99dfb008/bVOnTrW7777bJQ7iSudQFYEmBKltr7zyinvedu3aWUrRr18/V9WsvsfQoUPdNVJFcq5cuegnAAAAIFGkiWCH3RRPHR8lI3777TcrXLhwrB+3fft218kqXruJZcz2f+XauHR2rlrK5QYAAHGO3bQ0jwbMgZhcvHjRJTjat28fr6VL+cwBAABcPrZfgv4ClQUpjMqx/WnPApVdX3311XFKFAAAAABIPdQvCJ7ntWDBAvvrr7+sfv36ydYuAAAApB7sWZDCaFZQsWLF3AZw2ih54cKF9uOPP8Z5ozZ/y2dPYXYaAAAAws7JkyfdLTqama9NjlM6beasauPbbrvNLeX0zTff2Msvv+xml+k+AAAAIKFIFqQwzZo1szlz5rjkwIULF6x8+fL2xhtv2O23357cTQMAAAAuK9oXQXsPRGfPnj1WokQJS+nUxqJFi7p9C1RNkDt3brdHg/Zr0AbIAAAAQEKRLEhhBg0a5G4AAAAAEkaD6XXr1o32mIIFC14Wl1nJAm1oDAAAACQVkgUAAAAAUqVSpUq5GwAAAICYscExAAAAAAAAAABhjmQBAAAAAAAAAABhjmQBAAAAAAAAAABhjmQBAAAAAAAAAABhjmQBAAAAAAAAAABhjmQBAAAAAAAAAABhjmQBAAAAAAAAAABhjmQBAAAAAAAAAABhjmQBAAAAAAAAAABhjmQBAAAAAAAAAABhjmQBAAAAAAAAAABhjmQBAAAAAAAAAABhjmQBAAAAAAAAAABhjmQBAAAAAAAAAABhjmQBAAAAAAAAAABhjmQBAAAAAAAAAABhjmQBAAAAAAAAAABhjmQBAAAAAAAAAABhLl1yNwBJr2XvwZYxWw4u9SWyc9VSrjUAAAAAAACAywqVBQAAAAAAAAAAhDmSBQAAAAAAAAAAhDmSBQAAAAAAAAAAhDmSBZfA2rVrLU2aNO4rAAAAgJSL2B0AAADhimRBMlm0aJFNnTo1uZ4eAAAAAAAAAACfdP//f5FUbr75Zjt9+rRlyJAhIFnw/fff26BBg7jwAAAAAAAAAIBkRWXBpbjIV1xhmTJlcl8BAACAcHXq1KnkbsJl6fz583bu3LnkbgYAAABSOUavE8mBAwesZ8+eVqhQIcuYMaOVLFnS+vbt64L64HVP69evb8uXL7d9+/a5+3UrUaKEnTx50rJmzWoDBw6MdP7ffvvN0qZNa+PHj0+sJgMAAAA+Y8aMcXHpjz/+aJ06dbIcOXJYnjx5XGx65syZgCu1cOFCq1q1qmXOnNly585td9xxh+3fvz/gGMW8FStWtK+//tpV2mbJksVGjhzpfvbVV19Zs2bNLG/evO4cip3vueeegMf/+++/9uCDD1rRokVdfF22bFmbOHGiRUREBBynNvfr18+WLVvmnk/HVqhQwVauXBlwnGLv+++/351Hz6nXdtttt9nevXsT5VNw/PhxGzx4sIvr1YYiRYrY3XffbUePHnU/V7/gsccec9ctZ86cLu6/6aabbM2aNQHnUXv0mvRatWxp6dKl3fl++OEH93O9Px07dnTXXROSbrzxRnvvvfcS5TUAAAAgvLEMUSL4/fffrXr16q6D0Lt3b7v22mtd8mDp0qUhZ0898sgjduLECZcAmDJlirsvW7Zs7tauXTtbvHixTZ482SUHPK+//rrrGN11110h23D48GE7cuRIwH27d+9OjJcHAACAMKJEgQa8NUnlyy+/tOeee86OHTtmCxYscD9/8sknbdSoUe64e++918Wgzz//vEsIfPvtt5YrVy7fuf78809r0aKFSyZ06dLFChQo4OLWpk2bWr58+Wz48OHueA2Qv/32277HKe5t3bq1G0jXhJzKlSvbqlWr7KGHHnJxthdDe9avX+8er2RA9uzZXZs7dOhgv/76q0sKyObNm+3zzz93bdFAvp5z5syZLqmhgXglM+JLk3408L9jxw6X9LjhhhtckkCD+Ir5lRT5+++/bc6cOda5c2fr1auX/fPPP/byyy+7pMmmTZvca/Q3d+5cl6RR/0LJAiUHtm/fbnXq1LHChQu7a6eEw5IlS6xt27b21ltvub5EVOgvAAAAICYkCxLBiBEj7ODBg7Zx40Y3s8fz+OOPR5r5JE2aNHEBvjpd6jT50+yj1157zVavXm3NmzcPmL2lDlixYsVCtmHGjBk2duzYxHg5AAAACGOa5f/uu++6/3/ggQdchYFizaFDh7oZ8aNHj7Zx48b5qgSkffv2VqVKFXec//2KkV988UXr06eP7z5VACgO/uijjwJiZ53To0H2Tz/91N2niTZeW1QJMG3aNFdJoBn3Hg3Sa8Dfu69BgwZWqVIlN+FGx0rLli3djHx/rVq1slq1armB9q5du8b7mj377LNuPzIlLPwH7B999FFff+DKK690CQr/fcyUNNBEIyVblDjwpySDJv8oqeJp3Lix6w8o8aEEgihBUrduXXv44YejTRbQXwAAAEBMWIYogS5evOg6POpo+Hd2PCohjgt1ALSUkRIGHnU8tm7dGimx4E+dBB3nf1O7AAAAgLjQoLy//v37u68rVqxwg+GKf1VVoJnz3q1gwYJ29dVXR1pSRwPaPXr0CLjPqzz44IMP7L///gvZBj2XqmwHDBgQcL+WJdLg+4cffhgphvZPHlx//fUuyfHLL7/47tPSQx49r6oeypQp49rzzTffWEIo2aDkRKjBeq8/oNfjJQp0Df/66y+3F4H6EKGeX5UR/okCHa8Eiq69qhK8a6/XoeqEXbt2uaqLqNBfAAAAQEyoLEgglV2rpFjroyYGbYKspYZUEq0ljFQOrcSB1iPVTKqo5M+f390AAACAhNCgvz8NwitG1ax4fdVgffAxnvTp0wd8r2pa/5n0Uq9ePTcQrqpYLSekZYC0jM6dd97pmy2v/QU0gUZLCvkrV66c7+f+QlXfaia/Khg8p0+fdksraXkfDar7VwBridCE+Pnnn91risn8+fNt0qRJbt8B/0SJqjmCBd+nKgO1WUtA6RbVUkO65qHQXwAAAEBMSBakQFqKSKXMqgzQmqaLFi2yW2+91ZV9AwAAAJeSf6WsZsTre83s999fy6M9uPz5z+b3P5/29tJ+CO+//77bi0Dr/GsQXfcFnyM2QrVF/BMCqpBQomDQoEFu6SHF1mqL9jDQ60pqWla0e/fuLjGivRc0eK92K4GhZEOw4GvntVHLQamSIBRVSgAAAADxRbIggVQarBJnLfsTF9EtT6QqBa35qooCbb6mjdm0jikAAACQ1LScjf+sds1o10C1Nj3W4LYG4PXza665JkHPU7NmTXfThsmaHKPq2jfeeMNtmly8eHH7+OOP3XI7/tUFmpEv+nlcKUHRrVs3l5TwaAPh48ePW0Kp+iKm/oCev1SpUm4pJ/++gPaAiA091qve0LJLAAAAQGJjz4KEXsArrnCzgzQr6quvvor081AbHEvWrFmjLXfWBmva9G3q1KmWJ08ea9GiRUKbCgAAAMTohRdeCPjem7SieFQbGSthoCWEguNcfa/182OipYGCH1u5cmX39ezZs+7rLbfcYhcuXLDp06cHHKdlizTQHp/Y2Et0BL82PU9CaQmi7777zt55551IP/Oe06t+8G/Dxo0b7YsvvojVc6gSQUs2zZo1y/7444+Qy6MCAAAACUFlQSJ46qmn3MC+1l/t3bu3W0tVAfybb75p69evD/mYqlWr2uLFi23IkCFWrVo1V26tTZI9WrN12LBhrsPRt2/fSOu/AgAAAElhz5491rp1a2vevLkbyNbyOYpNtYGvjBs3zkaMGOH2MNCkGc3812MUtyoW1jI5Ma3bP2PGDLcZsGbkq3rgpZdectW6ShKI4uIGDRrYI4884p5Hz614+91333XLCPlvZhxbWtbz1VdfdcsPlS9f3r02VS9oYk5CaVkhVQ5ojzEtqaRYXxsSv/fee/biiy+69uv5VVWg192yZUt3zfQzteXkyZOxTuTUrVvXrrvuOuvVq5erNjh06JB7Lb/99ptLWAAAAADxRbIgEWgTMc0K0kZjWjpIGx7rPs140gbFodx///22ZcsWt26qZkiplNo/WVCgQAFr2rSprVixwlUZAAAAAJeCJrQ89thjNnz4cEuXLp3169fP7afl0f1agkgxrCoMpGjRoi52VZIhJppgs2nTJrfkkAa6NXhfvXp1F0d7yx+pelcD7WqH2qOYWcsgqR0PPvhgvF7XtGnT3Ox+PY+WH6pTp45LFkS1/n9caOLPZ5995pYUUtJECRFVAjRq1MgtKyrar+DgwYOuMkD7NChJoESMJhitXbs2Vs+jx6iaWdd93rx5rpJDz6MlTHWtAAAAgIRIExHVOjlIdpp1tG3bNrdObHxs377d7X9QvHYTy5gtR6K3D6HtXLWUSwMAAOIdu2nt+woVKlzyKzhmzBg3CK3lbPLmzXvJnx/h95kDAABAyord2LMghdIyRsuXL6eqAAAAAAAAAACQ5FiGKIXR2qUbNmywOXPmuH0K+vTpk9xNAgAAAMLS6dOn7cSJE9Eekzt3bsuQIcMlaxMAAACQVEgWpDDr1q2zHj16WLFixdxapwULFkzwOZfPnkJZMQAAABBH2i9BsXl01qxZY/Xr1+faAgAA4LJHsiCF0cZnugEAAACXes8C3fD/afPj1atXR3tJKlWqxCUDAABAqkCyAAAAAABCuOqqq9wNAAAACAdscAwAAAAAAAAAQJgjWQAAAAAAAAAAQJgjWQAAAAAAAAAAQJgjWQAAAAAAAAAAQJgjWQAAAAAAAAAAQJgjWQAAAAAAAAAAQJgjWQAAAAAAAAAAQJgjWQAAAAAAAAAAQJgjWQAAAAAAAAAAQJgjWQAAAAAAAAAAQJgjWQAAAAAAAAAAQJgjWQAAAAAAAAAAQJgjWQAAAAAAAAAAQJgjWQAAAAAAAAAAQJgjWQAAAAAAAAAAQJgjWQAAAAAAAAAAQJgjWQAAAAAAAAAAQJgjWQAAAAAAAAAAQJhLl9wNQNJr2XuwZcyWg0t9CexctZTrDAAAAAAAAOCyQ2UBAAAAAAAAAABhjmQBAAAAAAAAAABhjmQBAAAAAAAAAABhjmQBAAAAAAAAAABhLlUnC+bNm2dp0qSxr776KtHOtXfv3kRpGwAAAICUbcyYMa4PcPTo0eRuCgAAAJDkUnWyAAAAAAAAAAAAxIxkAQAAAAAAAAAAYe6ySxZcvHjRzpw5k9zNAAAAAAAAAAAg1bgioet3/vTTT9alSxfLmTOn5cuXz0aNGmURERG2f/9+a9OmjeXIkcMKFixokyZNCnj82bNnbfTo0VamTBnLmDGjFS1a1IYNG+bu96fn6Nevn7322mtWoUIFd+zKlSvdzw4cOGA9e/a0QoUKuftLlixpffv2tXPnzkV6riFDhrj2Zc2a1dq1a2dHjhyxxDBjxgxfu9SOBx54wI4fPx5wTP369a1ixYr2ww8/WIMGDSxLlixWuHBhmzBhQqTz7du3z1q3bu3amT9/fhs8eLCtWrXKXYe1a9cmSpsBAAAAxJ7i++7du1uuXLlcv6dHjx526tQp38/Pnz9vTzzxhJUuXdr1C0qUKGEjR46M1LfR/bfeequL62+88UbLnDmzXXfddb44/+2333bfZ8qUyapWrWrffvttpLb8+OOP1rFjR8udO7c7Tud57733eDsBAACQYOkSeoLbb7/dypUrZ08//bQtX77cxo0b5wLXWbNmWcOGDe2ZZ55xA/1Dhw61atWq2c033+yqAzQgvn79euvdu7d7/LZt22zKlCku+bBs2bKA5/j0009tyZIlLmmQN29eF2T//vvvVr16dRe46xzXXnutSx4sXbrUBe4ZMmTwPb5///525ZVXuuSENiieOnWqO9fixYsT9NqVMBk7dqw1btzYJSl27txpM2fOtM2bN9uGDRssffr0vmOPHTtmzZs3t/bt21unTp1cOx9++GHXGWjRooU75t9//3XX7I8//rCBAwe6JMuiRYtszZo1Mbbl8OHDkRIgu3fvTtDrAwAAAGAuftfEpPHjx9s333xjc+bMcRN71NeRe++91+bPn+8G8R988EHbuHGjO3bHjh32zjvvRIrR77zzTuvTp4+bdDVx4kRr1aqVvfjiiy7BcP/997vj9Hg9r/oYV1zxf3O8tm/fbnXq1HETj4YPH+4mGKmf1LZtW3vrrbfcpKio0F8AAABAkicLNGCvxIBo0F4D+QqQFdxqMFw6d+7sZt2/8sorLlmgAfCPP/7Y1q1bZ3Xr1vWdS7Pv77vvPvv888+tdu3avvsVICuZUL58ed993bp1s4MHD7pAXLNpPI8//rirbPCXJ08e++ijj9zsfFGy4rnnnrMTJ064mUHxoYF5vcamTZvahx9+6AvglbRQImLhwoVuxpFHyY0FCxZY165d3feqiChevLi9/PLLvmSBruMvv/zikiWqyhB1IqpUqRKrCgclLgAAAAAkLsXjits9f/75p/teyYLvvvvOJQqUMHjppZfczzXgr2SCEgGa+KPqYv++jfo7tWrVct+rj9OsWTPr1auXqxooVqyYu1+TndQX+N///ucqlUUTivRzTU5SBYP3XOpTqe8VXbKA/gIAAACSfM8CBcWetGnTuoF7DdZrMNyjct2yZcu6gXB58803XTWBBtaPHj3qu2lWvQTPpK9Xr15AokCD/RpQ1wwc/0SBx0sKeJTE8L/vpptusgsXLrglf+JLyQ4tdzRo0CBfokAU5GvpJVVZ+MuWLZubOeRR5YMSLd41ES2vpFlCqrrwqLRY54yJOgnff/99wC24QgMAAABA3GlCkz/1J5Qw+Pvvv23FihXuPi176k8TqCS4X6B+jZcokBo1ariv6gt5iQL/+73+wl9//eUqrlVt8M8///j6UGqHkg27du1yldZRob8AAACAJK8s8A9oRTP1NcCt5YKC71cgKwpkVZKrPQSiKpH1p5Lf4Fn9CsxViRCfNmqWjrc0UHx5iQYlQfwpCVCqVKlIiYgiRYpESmKoHVu3bg04p9Y5DT5O+zrERDOXdAMAAACQuKLrTyiG1+Sh4JhdS4pq0lRwvyBU/0m0h1uo+70+i5Yv0qQs7RGnW1T9KE0+CoX+AgAAAJI8WaBqgtjcJ97yQKoM0Fr9kydPDnlccKCsjb8Su43+7bkUUkIbAAAAACRNLB884Seu54pNH0q0F5wqCUKJzSQjAAAAIMmSBfGh2fNa27NRo0axDqr9qSJBS/1oqZ3kov0GvDVHVUnw/9q7F3iZ6v3/49/tmkuOiIPcUqRNkUK2XagjpKsSTtE95P4jpRsKB4VculAdcimkhDjR/VRH5JQSuqhNyjUSuabW//H+/h8zZ83s2due2Xtmz17r9Xw8xt7WrDVrzff73TPf7/p8LwGamigjI8MuehzLa27YsME2CNzpwkLFAAAAQHJSHV438jV6WlOtBuzcudPs27cv2G7IrUCbo2jRojG1NQAAAIC4r1kQC82zqfk0AwuAuR0+fNgcPHgw2+M1zPeaa64xS5YsMWvWrMmX3vqqoGvKIS2U7D6fFjrTwsnt27eP+jXVQ0jpsnjx4uC2I0eOREwnAAAAAPnv8ssvtz+feOKJkO2BUdSxtAuymkZICx1PnTrVbN++PdPzmqoVAAAAKHAjC7p27Wrmz59vFwrTYsbNmze3Cw5/9dVXdvvy5csjLlzsNmrUKLNixQq7+LEWMFYvHlWatXjyhx9+aOcHjSeNbhgyZIgZPny4adu2rV2UWKMMnnrqKdO4ceOQxYxzqnv37mbKlCmmS5cupl+/fqZy5cpmzpw5dg0IiWUUBgAAAID4adCggbn55pvNtGnT7EgCtU9Wr15tXnjhBdvBqVWrVnl2rieffNKkp6fbKV3vvPNOO9pAIxhWrlxpfvzxRzt6GwAAAChQwQKNDHjttdfMhAkTzMyZM83ChQtNyZIlbWVXN8nr1KlzwtfQwl2rVq2yi3vphroWPNa2du3a2ddKhGHDhtmggW7wDxgwwJQrV84GLhTI0PDgaJUuXdq88847pk+fPmbixIn2/926dTNpaWnmuuuuCwYNAAAAACSP5557zrZlZsyYYds2WtxYHYuGDh2ap+dJTU21I6vVYUnn2rNnjx1xcN5555mHH344T88FAAAA/0lxWGE36WlIs4IR6i2kgEhOrV+/3tSvX9/USGttipcuE9drxP/39fIFJAUAAIhJoO6mdbnq1atHKiLuKHMAAAAFx/oEtBfyZc0CZE1rNrhpzQLNS1q7du2oAgUAAAAAAAAAACT1NETJ5LfffrOP7GiqocKFCyfkejp06GCqV69uGjZsaBdKnj17tl3LQVMtxWrptAn0TgMAAAAAAAAAZMn3wYLHH3/czvmZnYyMDFOzZk2TCG3atLFznio4oEWfNS/p3LlzTadOnRJyfgAAAAAAAACA//g+WKAFhNPT07NNJC1Qlij9+/e3DwAAAAAAAAAAEsX3wYJatWrZBwAAAAAAAAAAfsUCxwAAAAAAAAAA+BzBAgAAAAAAAAAAfI5gAQAAAAAAAAAAPkewAAAAAAAAAAAAnyNYAAAAAAAAAACAzxEsAAAAAAAAAADA5wgWAAAAAAAAAADgcwQLAAAAAAAAAADwOYIFAAAAAAAAAAD4HMECAAAAAAAAAAB8jmABAAAAAAAAAAA+R7AAAAAAAAAAAACfI1gAAAAAAAAAAIDPESwAAAAAAAAAAMDnCBYAAAAAAAAAAOBzBAsAAAAAAAAAAPA5ggUAAAAAAAAAAPgcwQIAAAAAAAAAAHyuSH5fAOKv/V0DTPHSZUjqPPb18gWkKQAAAAAAAABPYGQBAAAAAAAAAAA+R7AAAAAAAAAAAACfI1gAAAAAAAAAAIDPESyIYMaMGSYlJcWsWbMmz15r8+bNuX4tAAAAAAAAAADigWBBEnvxxRfNE088kd+XAQAAAOQr6sWR/ec//zHDhg0z+/btS3COAAAAwIsIFiQxGkUAAAAA9eLsggXDhw8nWAAAAIA84ZtgwZ9//mmOHDmS35cBAAAAII5U51fd38sOHjyY35cAAAAAD0p4sEDDZDWH/zfffGNuuukm85e//MVUqFDBPPTQQ8ZxHLN161Zz9dVXmzJlyphKlSqZcePGhRx/9OhRM3ToUHPmmWea4sWLm2rVqpnBgwfb7W46R+/evc2cOXNMvXr17L5vvPGGfe6nn34yt99+u6lSpYrdfvrpp5uePXuaY8eOZTrX//3f/9nrK1WqlLn22mvN7t27c50GixYtMu3btw+e/4wzzjCPPvqo+eOPP4L7tGzZ0ixdutRs2bLFvhc9atasmetzAwAAACfy3nvvmQsuuMCcdNJJtq46derUYD0+YPr06eaSSy4xFStWtHXa1NRU8/TTT2d6La0D1qZNG3PqqaeaEiVK2Lr3bbfdluNMyK5erOvU/+fOnWsefPBBc9ppp5mSJUua/fv3m71795pBgwaZc845x5QuXdq2L9q1a2c+//zzTO9VrzF//nwzcuRIU7VqVfu+L730UrNp06aQfb/99ltz3XXX2XaK9tG+nTt3Nr/++mvEdshZZ51l9zv//PPNv//970zv7bPPPrPXpGvTNeqcH3/8ccQ10N5//31z99132/TWeZUf99xzj91HaRpIG9ZKAwAAQKyKmHzSqVMnc/bZZ5vRo0fbyv+IESNMuXLlbENEjY4xY8bYCrYq+I0bNzYXX3yx7SF01VVXmQ8//NDcdddd9vh169aZCRMm2ODDa6+9FnKOd955x1b6VVlX40SNim3btpkmTZrYobp6jbp169rgwYIFC8yhQ4dMsWLFgsf36dPHnHLKKTY4oUq31g/Qa82bNy9X710VfjUGFIjQT13nww8/bBs1jz32mN3ngQcesI2OH3/80b4/0b5Z2bVrV6ZARnjjBgAAADgR3cBu27atqVy5sp3iRh1aHnnkEduBxk2BAXXKUf28SJEiZsmSJfZmtursvXr1CtZRL7vsMnvsfffdZ8qWLWvr1a+++mqOMyIn9WJ1vFE9Xm0HdfjR7xs2bLDtg44dO9qb6Tt37rRtjRYtWtjn1HHHTe2SQoUK2dfQ+caOHWtuvPFGs2rVKvu8OhYp6KHXVztBAQO1I15//XXbtlAnqADd2FeboW/fvjaQ8tRTT9k0Xb16talfv77dZ/369eaiiy6ygQJ1fipatKi9PgVHdHzTpk1Drk9pq3RUu0EjCxRkUBvopZdesumi9o6E51MA7QUAAAAkbbBAN+xVGRbdtNeN/IEDB5p//OMf5t5777Xbu3TpYivx//znP22wQHP4v/XWW7bynJ6eHnwtVbh79Ohh5+xMS0sLbv/6669tMEG9nAJuvvlms2PHDlvpV2+pADWANLLBrXz58mbFihXBHlRq+EyaNMk2HtyNgWjpfahXVYCuXQ81IhQ0UYOidevWtmfUL7/8YkdgnIiOVWMOAAAAyA11lClcuLD56KOPgjfUb7jhBttRx011cnedVp1qdEN8/PjxwWCB6ueqz6pO7a57q86bUzmpF2vqIY1gcF+PRhToZroCAAFdu3a1nYWef/55O7I5/DXWrl0b7DykTkP9+vUzX375pW1vKMCQkZFhXn75ZXP99dcHj9PN+3A6RtejEQWi0QcaZaB9A4ESjYT4/fffbUeoWrVq2W3dunWz+yl4oPR1U8eqt99+2+ZNQKNGjWyw4JprrjnhKGTaCwAAAEjaNQvuuOOO4O+q8KrxoJv1mh4oQD2PVFn+/vvv7f9VMVcjRRX8n3/+OfjQSAR59913Q86hXkPuQIFu9qt30ZVXXhnSWAlwD6sOBDHc29TzRz2rNAQ6N9yNmAMHDtj3oNfWyIavvvoqptdUTyM1StyP8JEWAAAAQHZU11XnHN18dve81xSg6smeVZ1WnWlUp1X9W3X3wLQ8qs+Let/rxni8qEOQ+3pEHXACgQK9rz179tgRCWpffPrpp5le49Zbbw0ZZaz6uQTaIoHOQsuXL7f19uw0a9YsGCiQ6tWr26lWdayuRQ8FUJTOgUCBaDTH3//+dxtA0KhjtzvvvDMkUBAt2gsAAABI2pEFqjC7qfKt+TwDw2fd21WxD8wRunHjxmyH1rppuLGbpulRpTsw9Dfaa1TvIlGvptzQkGP1JNL0Q+GNAPd8p9HQ3KV6AAAAALFSffrw4cM2OBAufJtGHmgUwsqVKzPdPA+MxFXwQHP8awSspsrRFDu6Qa4b4rqZn1fC6/2BjkITJ060Peo1IsC9PphGEEdb99c5NI2oRk5oulQFEzQFU2AdNrfatWtnev06derYdApMHarfFbgIp85Runat5aZpnrJ7j9GgvQAAAICkDRZE6hWTVU+ZwPRAqjRrOLEq6JFosWO38N5FeXGN7uuJheYzVaNJc5Nq6iMtGKcgiXo3afolvUcAAAAgmX333Xd2MV6N+FXdXPVw9cpftmyZDQoE6rQapau1wbRor9Y0UM96LW48btw4uy27NbmiEaneP2rUKDvVkM6nNQ00jY9GGvTv3z9inTsndX9d9y233GIWLVpkRwZoTQJNo6r3okWH4ym3bRsAAAAgaYMFsdCN9c8//9w2TMKnDMoJjUjQTXpN0ZNf3nvvPTtSQnOVah2GAPV2ChfLewQAAABy0/tcHVk2bdqU6Tn3Nt3410K/ixcvDumRHz4taMCFF15oHyNHjrTrd2nh4Llz54ZMTZqdWOrFClK0atXKrk8Q3nknfDRzNNR5SQ+NFNaaDM2bNzfPPPNMyDoMGhEdTusnlCxZMjhKWr9rjbVwmpZUQY3wjlCR0F4AAACAJ9YsiIUWVvvpp5/Ms88+m+k5DZc+ePBgtser0q1hz2rcaMGxvBwxkFOBHkvucx07dswOjw5XqlSpmKclAgAAAGKpq/7tb3+za19t27YtJFDwr3/9K2S/8Dqt6q3Tp08PeT1N4RNex27YsKH9qWBDTsVSL9Y1hp9ba6CpPRELTR96/PjxkG0KGqiNEf5eNDWTe10ETSmk0QiXXXaZvS499Lu2bd68Objfzp07bTAlPT3ddnLKSboEAiAAAACAr0YWdO3a1cyfP9/06NHD9lpSLx7NPareN9quYc2RFi4OH46sIcOaCkgLGGtO0O3bt9uGgxYSCyzCFi9paWl2/lMtwqZhy+oNNGvWrIiBCi2KNm/ePDs3auPGje0wbS3ODAAAAMTLsGHDbH1Zde2ePXva+vaUKVPsul9r1661++hGt6YdUt20e/fu5rfffrMdejQyQXXrgBdeeMF2irn22mvtKOEDBw7Y/XQj/PLLL8/xNcVSL77iiivstJ9auFh18HXr1tm1BtwLCkdD64317t3bdOzY0a4/oMCB6vG68a91GdyUVm3atLH1fa3NEOgYpLUbAjQS4c0337SBAS0+XKRIETN16lQbeBg7dmyO00UeeOAB07lzZ1O0aFGbLoEgAgAAAODZYIF67aiXk+ZBnTlzplm4cKEdvqsKf79+/Wyl/UROO+00s2rVKjt/qRoL6iGkbe3atbOvFW9aTO311183AwcOtEOXFTjQomiaWkkNCjc1GtQgUw8tvecaNWoQLAAAAEBc6Qa0RhEMGjTI1pk1HY5uum/cuNF20hEtzKtpflSf1X6VKlWygQVNsaM1AgLUQWf16tV2yiH1mtdCwE2aNLH18GgW7I2lXnz//ffbkcfqqa9AQ6NGjczSpUvNfffdF1O6NGjQwNbXNUpZoxPUdtA2pZWmWHLT+27WrJkNDvzwww8mNTXVzJgxw5x77rnBfbR48QcffGCGDBli1z3QOgpNmzY1s2fPtj9zQoETrcegaZDeeOMN+xqa3pRgAQAAAGKR4iRi7h3ki/Xr19teTTXSWpvipU88jBnR+Xr5ApIMAADked1N62vpRnKy0XSeusZI8/HjfzRyuFevXnY0RrJL9jIHAACAxNbdCtSaBQAAAADiT+uBuSlAsGzZMtOyZUuSHwAAAPCoAjUNUTLRvKx6ZEfDsAOLvwEAAAAFhab5vOWWW+zPLVu2mKefftquUTB48OA8Pc/evXvNsWPHsnxedWnVqQEAAADEH8GCGD3++OMhC5RFovlCa9asafLb0mkTGFYMAACAHGvbtq156aWXzI4dO+wCvZp/f9SoUaZ27dp5moodOnQw77//fpbPa22CzZs35+k5AQAAAERGsCBG3bp1M+np6dnuo4XeAAAAgIJGCwknwrhx48wvv/yS5fMlSpQwBQ1LwgEAAKCgIlgQIw3J1gMAAABAbM4//3ySDgAAAEgSLHAMAAAAAAAAAIDPESwAAAAAAAAAAMDnCBYAAAAAAAAAAOBzBAsAAAAAAAAAAPA5ggUAAAAAAAAAAPgcwQIAAAAAAAAAAHyuSH5fAOLn6NGj9uemTZtIZgAAgCQXqLMF6nBAvNFeAAAAKDg2JaC9QLDAw9atW2d/XnPNNfl9KQAAAMihrVu3mkaNGpFeiDvaCwAAAAWzDtcoTu0FggUeVqdOHftz/vz5JjU1Nb8vx5PRPAViXnvtNXPmmWfm9+V4CmlL2hZElFvStqCi7CZP2qqHkAIFLVq0iONVAf9De8F/+Mz3F/Lbf8hzfyG//WfDhg3mhhtuCNbh4oFggYeVKVPG/lSgoF69evl9OZ6lxj/pS9oWNJRb0rYgotySvn4ou4woQCLRXvAvvlP9hfz2H/LcX8hv/9bh4oEFjgEAAAAAAAAA8DmCBQAAAAAAAAAA+BzBAgAAAAAAAAAAfI5ggYdVqFDBDB061P4E6VuQUHZJ24KIckvaFlSUXdIW/sXfv/+Q5/5CfvsPee4v5Lf/VEjAvd4Ux3GcuL06AAAAAAAAAABIeowsAAAAAAAAAADA5wgWAAAAAAAAAADgcwQLAAAAAAAAAADwOYIFAAAAAAAAAAD4HMECAAAAAAAAAAB8jmABAAAAAAAAAAA+R7AgyR09etTce++9pkqVKqZEiRKmadOm5s0338zRsT/99JO54YYbTNmyZU2ZMmXM1Vdfbb7//vuI+z7//PPm7LPPNieddJKpXbu2mTx5svG6RKRtSkpKxMfo0aONl8Watl9//bUZMGCASUtLs2VRabV58+Ys91+8eLFp1KiR3bd69epm6NCh5vjx48brEpG+NWvWjFh2e/ToYbws1rR99dVXTadOnUytWrVMyZIlzVlnnWUGDhxo9u3bF3F/P5bdRKQt5Ta6tF24cKFp06aNzZPixYubqlWrmuuvv958+eWXEfen3MYnbf1abuGNNgT8VX+BN/7G3Vq3bm2/c3r37h2X60Ty5Pm8efNMs2bNTKlSpeznu9qE77zzDlnkwfx+6623TKtWrcypp55q87pJkyZm1qxZcb9m5M5vv/1m7wu0bdvWlCtXzn42z5gxI8fH67v7rrvuMhUqVLB/5yoDn376aWwX4yCpde7c2SlSpIgzaNAgZ+rUqU6zZs3s/z/44INsjztw4IBTu3Ztp2LFis6YMWOc8ePHO9WqVXOqVq3q/PzzzyH7PvPMM46KwnXXXedMmzbN6dq1q/3/6NGjHS9LRNoqHVu3bu3MmjUr5PHll186XhZr2k6fPt0pVKiQU79+fadhw4Y2/TIyMiLuu2zZMiclJcVp1aqVLbd9+vSxx/bo0cPxukSkb40aNew+4WV31apVjpfFmrbly5d3zjnnHOehhx5ynn32Wadv375OsWLFnLp16zqHDh0K2devZTcRaUu5jS5thw8f7nTq1Ml+3z/33HPOiBEjnFq1ajklSpRw1q5dG7Iv5TZ+aevXcouCX8+Fv75j4Y08d3vllVecUqVK2TZBr1694nq9yN88Hzp0qG1/dOzY0d7/mTx5stO9e3dn5syZZI3H8nvRokU2r9PS0mw+T5kyxbn44ovt37m+05G8MjIybD5Vr17dadmypf1d93By4o8//rB5rs/0YcOG2XxPTU11Tj75ZOebb76J+loIFiQxNRJVOB577LHgtsOHDztnnHGG/aDIjir3Onb16tXBbRs3bnQKFy7sDBkyJLhNlUBVEtu3bx9y/I033mgL2d69ex0vSkTaih8rXrlJ2z179jj79++3v+v47G5m64OvQYMGzu+//x7c9sADD9gvRuWHVyUqfXXzKvxzwetyk7bvvvtupm0vvPCCfT01vv1edhOVtpTb6NI2kh07dtiGiBqQbpTb+KWtH8stvFHPhb++Y+GNPHfvX7NmTeeRRx7xZZvVT3m+cuVK287gRrE/8ludVatUqeIcOXIkuE3tTh177rnnxvW6kTvKs+3bt9vfP/nkk6iCBfPmzbP7v/zyy8Ftu3btcsqWLet06dIl6mthGqIktmDBAlO4cGE7jCRAU1bcfvvtZuXKlWbr1q3ZHtu4cWP7CKhbt6659NJLzfz584Pb3n33XbNnzx5z9913hxzfq1cvc/DgQbN06VLjRYlIW7fDhw+bI0eOGD/ITdpqqNXJJ598wnNs2LDBPnSOIkWKBLerHCtGo2vwqkSkr9uxY8fsZ4Ef5CZtW7ZsmWnbtddea39u3LjR+L3sJiJt3Si3OUvbSCpWrGinonBPQUG5jV/a+rXcwlv1XPjrOxYFO88Dxo4da/78808zaNCgOF8t8jvPn3jiCVOpUiXTr18/297QVCfwbn7v37/fnHLKKXYazAC1OzUlkaYzQvIqXry4/VuNtcz89a9/NR06dAhu03REmlZy0aJFdlqraBAsSGKfffaZqVOnjp0r1E3zjcnatWsjHqcv/S+++MJccMEFmZ7Tsd999505cOBA8BwSvu/5559vChUqFHzeaxKRtgGaY0zzhemDOTU11bz44ovGy2JN22jPIeH5oPn8NC+0V8ttotI3QHNY6sZW6dKl7ZzaEydONF6W12m7Y8cO+1MVM/c5/Fh2E5G2AZTb6NNWN693795t1q1bZ+644w7byNCNQXf+CeU279PWr+UW3qnnwl/fsfBGnv/www92Db0xY8Zw89AHef7222/bAPCkSZPszUN1HqtcubKZMmVK3K8bic9vBYHXr19vHnroIbNp0yb73f3oo4+aNWvWmMGDB5MlHi4zjRo1svdxw8vMoUOHzDfffBPV6/2vWyOSzvbt2+2HeLjAtm3btkU8bu/evTZqdKJjtYCVzqGIpXq7uRUrVsyUL18+y3MUdIlIW9GiQYrknX766Xb7k08+aW688Ubz66+/mp49exovijVtoz2H+zXDz+PVcpuo9JVzzz3XpKen27Ks0UcKevXv39++vhoWXpTXaat00uerFjV1n8P9mn4pu4lIW6Hcxpa2F154oV0AXXSz+sEHH7Q9l9z5537N8Dyk3Maetn4tt/BGPRf++o6Fd/Jci1ifd955pnPnznG7RiRHnv/yyy/m559/Nh999JHtmKDFU6tXr26mT59u+vTpY4oWLWq6d+9Odnnob1xBgoyMDDNy5EgzYsQIu00dUl555RVz9dVXx/Gqkd9l5uKLL862zJxzzjk5fj2CBUlMU9e4hw65hx8Fns/qOMnJsfqpwEAk2jercxR0iUhb0Zey22233WZHbdx///3mlltu8WRPjljTNtpzSFbnUc9Nr0pE+srixYtD/n/rrbeadu3amfHjx9uKpXrBe01epq1GED3//PO290bt2rVDzuHHspuItBXKbWxpqwajyt73339vf9cxf/zxR7BnCuU2fmnr13ILb9Rz4a/vWHgjzzUNsW4arlq1Kq7XiOTI88CUQ+qMMHfuXNOpUyf7fwUDdeNQN5MJFnjrb1zHaVSC8lhT0qjeOW3aNHPTTTeZN99803ZkgfcczuP7RExDlMR0IznSvFKBue+zutEc2J6TY/VTc+RGon29eDM7UWkbiQIzvXv3ttMS/Pe//zVeFGvaRnsOyeo8Xi23iUrfSFJSUsyAAQPM8ePHzXvvvWe8KK/S9oMPPrA9h9u0aWN7dISfw49lNxFpGwnlNmdp26xZM5umGvG2fPlyM3v2bDNkyJCQ/BPKbd6nrV/LLbxZz4W/vmNR8PJc3yt9+/Y1Xbt2DVmXBN7/XNcIAvdoIXVaUODgxx9/tNNSwTuf67rftGTJEhsc0ughzWzx1ltv2R7mWrcC3lQij+8TESxIYvpjDgz9dwts0xzXWS1iqohSTo7VORRp3LVrV8h+CiAo+pzVOQq6RKRtVqpVqxYc6u1FsaZttOdwv2b4ebxabhOVvlmh7J44bT///HNz1VVXmfr169tFhtyLGPu57CYibbNCuY2uTGlBtEsuucTMmTMnJP/c+eVGuc1d2vq13MK79Vz46zsWBSvPZ86caafGU0/yzZs3Bx+i9Uj0u+a2hrc+19WzWFNMa3oxt8BU1JqqCN7Ib93H0+iw9u3bh4xiVbBIo1a1bkFWnYVRsFXO4/tEBAuSWMOGDe0iFOHTUgSGDOr5SPShoCFl+iAIp2Nr1aplF7Vxv0b4vvq/FjnL6hwFXSLSNiuaikC0uJAXxZq20Z5DwvNB87Cpd4RXy22i0jcrlN3s01aLR7Vt29ZWvJctW2bnJw/n17KbiLTNCuU2+jKlYapaW8edf0K5zfu09Wu5hXfrufDXdywKVp6rB/nvv/9umjdvbtfUCzwCgQT9vmLFigS8AyTyc13P7d69O9NN4sC899Q1vJPf6vCrEUTqEBxOf/u6xxfpORR8DRs2NJ9++qnN4/AyozUrNDVVVBwkrY8//thRFj322GPBbUeOHHHOPPNMp2nTpsFtW7ZscTZu3Bhy7OjRo+2xn3zySXDbV1995RQuXNi59957g9sOHTrklCtXzrniiitCjr/pppuckiVLOnv27HG8KBFpu2vXrkzn3b9/v3PGGWc4p556qnP06FHHi3KTtm46Xq+TkZER8fm6des6DRo0cI4fPx7c9uCDDzopKSnOhg0bHK9KRPrq796drnLs2DGnefPmTrFixZzt27c7XpSbtFWa1KpVy6lSpUqWZdbPZTcRaUu5jT5td+7cmSkdlcYnn3yyc9FFF4Vsp9zGJ239Wm5R8Ou58F/9BQU/z/X7woULMz30Wpdffrn9fdu2bQl/P4jv3/mECRPssdOmTQtuO3z4sP3bT01NJfk9lN+qU5YtW9apU6dOyP2mAwcOOFWrVrX1eRQMn3zyiS0D06dPz/ScPqeV72ozBMydO9fu//LLLwe37d6925aHTp06RX1+ggVJrmPHjk6RIkWce+65x5k6daqTlpZm///+++8H92nRooUtFJFuSlesWNEZO3as/YKoVq2arQiG38R+8skn7fHXX3+98+yzzzrdunWz/x85cqTjZfFO26FDh9obgroJqC/m4cOHOzVq1LA3BGfPnu14Waxpu2/fPufRRx+1j7Zt29rnBw4caP8/efLkkH2XLFli0/KSSy6x6du3b1+nUKFCzp133ul4XbzTV19IKuO6KfDMM884o0aNcurXr2/31+9eFmva6m9d2wYPHuzMmjUr5LFixYqQff1aduOdtpTb6NNW32NdunRxxowZY8uijlcHgpNOOsn56KOPQval3MYnbf1cblHw2xDwV/0F3sjzSLRPr1694nzFyK88VwfRevXqOUWLFnUGDRrkTJo0yWncuLENAi9btoyM8Vh+jxgxwm4777zz7Hf4448/7px99tl2m9fvQ3nB5MmT7f2Znj172jzr0KFD8B6O7ufIzTffnKnjpwJFF154oVO6dGl771H3efV3r45K6vQRLYIFSU4RX32gV6pUySlevLj9UH/jjTdC9smqErB161YbAChTpowtMBo98O2330Y8jxqyZ511lu3FpgaCPlT+/PNPx8vinbaqYLdu3dq+vr6YFdG77LLLnLffftvxuljTVh922hbpoUBLOPV+adiwoT2HIuUKzLijq14V7/Rds2aNc+WVVzqnnXaa/UxQGU9PT3fmz5/veF2saZtVuuqh/cP5sezGO20pt9GnrYLaF1xwgXPKKafYxoduBnbu3Nn54osvIuYh5Tbv09bP5RbeaEPAX/UXeONvPBzBAu/nuUY86gajOi7oWPVODz8W3snvOXPmOE2aNLH3oEqUKGHze8GCBQm8esRK92Wy+l4OBAciBQtk7969zu233+6UL1/ezhSj8uEeKRqNFP2TtzMlAQAAAAAAAACAgoQFjgEAAAAAAAAA8DmCBQAAAAAAAAAA+BzBAgAAAAAAAAAAfI5gAQAAAAAAAAAAPkewAAAAAAAAAAAAnyNYAAAAAAAAAACAzxEsAAAAAAAAAADA5wgWAAAAAAAAAADgcwQLAAAAAAAAAADwOYIFAAAAAAAAAAD4HMECAAAAAAAAAAB8jmABAAAAAAAAAAA+R7AAAAAAAAAAAACfI1gAAAAAAAAAAIDxt/8H2TVDHtf/xUMAAAAASUVORK5CYII=",
      "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 = 0.0010  (451 benign flagged of 460,686)\n",
      "worst per-family recalls: {'gas_transport': 0.0, 'home': 0.0, 'personal_care': 0.0, 'food_dining': 0.0, 'kids_pets': 0.0, 'grocery_net': 0.0}\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": "c8610649",
   "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": "22765580",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "best single-feature AUC = 0.8494  (feature: amt)\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 A, contam grade A)\n",
      "==> data trust grade: A   (worse of the two; F = shortcut and/or heavy contamination)\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA7MAAAJLCAYAAAA1qMGvAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAASdAAAEnQB3mYfeAAAbMpJREFUeJzt3Qm8jHX///HPsW/Zyb6HLN2pEAmVRFJSKWUrZYtCRe7IetOK5CalKEuRoqRFEnfUrSQVhRTKliVL9mL+j/f3/s/5zZwzZ59z5lxnXs/HYxznmmuu+V7XXHOd+czn+/18Y3w+n88AAAAAAPCQbJFuAAAAAAAAKUUwCwAAAADwHIJZAAAAAIDnEMwCAAAAADyHYBYAAAAA4DkEswAAAAAAzyGYBQAAAAB4DsEsAAAAAMBzCGYBAAAAAJ5DMAsAAAAA8ByCWQAAAACA5xDMAkjSzJkzLSYmxv3Mqs/9119/2fDhw+2CCy6w3Llzu+dctGhRuj4nkF66du1qJUuWtOPHj0fsIDdv3ty9j5B1HT161B544AGrVKmS5ciRw73e69evN69bsWKF25cRI0ZEuimZ1vjx4y1nzpy2adOmSDcFUY5gFohCZ8+etZdeesmaNWtmRYsWdX+Q9MH3oosusnvvvdfeffddizbPPvusjRo1ysqUKWMPP/ywC2xr1qyZ5b8sCAe1PfCWPXt2d14pmNE++Xy+RB+/bNkyu/32261ChQqWJ08eK1y4sNWvX99Gjhxphw4dSvSx586dswULFtgtt9xi5cuXd4/Pnz+/XXjhhdajRw9bvXp1qvbpt99+c/uh/fnnP/+Z5Ide7WtCtm/f7tbRB/6M2IevvvrKZs2aZY8++qjbDpBeBg0aZM8//7zVrVvXhgwZ4q6bpUqVSvcDrvdSQu+nrCSS+5lUQN+7d28rUaKE+3sJRFKOiD47gIgEsjfccIN9+OGHLmho06aNlStXzs6cOWMbN260uXPnum9ab7zxxtjH3HzzzXb55Zdb6dKls+wr9t5771mBAgXs448/tly5ckW6OZ6kD7L+LPfWrVtt4cKFtnLlSlu7dq1Nnjw53vqnT592X57Mnj3b8ubNa61bt7bq1avbsWPHbPny5e5DlB731ltvWdOmTeM9fu/evXbrrbe6YO+8886za6+91qpWreqC559++slef/1196WNPmz37ds3Rfsyffp0F2Tqw9yMGTPcFx3KPIVbeuzDY489ZgULFnQfNoH0vm7qPbt48WIOdJTRNbt///42ePBg+/zzz61x48aRbhKiFMEsEGX04ViB7D/+8Q8XaBQqVCjo/hMnTtiaNWuClmmduOtlNbt377ZixYoRyKZB3G/wFaApCJ0yZYo99NBDVrly5aD7FWwpkL3kkktcl25lJf0UzP373/+2Bx980H3h8uWXX7pMZeB52qpVK/v222/tjjvucM9RpEiReF0gn3nmGTty5EiKv/B55ZVXXEDYqVMnt231Vmjfvr2FU3rsw5YtW1ymW18S6MMmkN7XzVBfNCE66PqojLyuXQSziBgfgKjSu3dv9fn0TZgwIdmPmTFjhnuMfgaqWLGiux07dsz38MMP+8qXL+/LlSuXr2rVqr4nnnjCd+7cuXjb0rKJEyf6LrzwQl/u3Ll9ZcqU8d1///2+w4cPx24vOc8tv/32m3ts5cqV3fMWLVrU17ZtW9+XX36Z7H3r2rWr237cW9x2/Pe///XdcsstvvPPP9+XM2dOX7ly5Xw9evTw7dq1K942165d63vggQd8F110ka9IkSJuP6tVq+YbOHCg748//ghat1mzZiGfX7dt27YFtdH/e6BPP/3U3Td8+PCQ2z19+rRv5MiRvurVq7tjpG2F8/iJv72h1KpVy9335ptvBi3/7LPP3HIdn927dye47cGDB7v1WrRoEbR8zJgxbvkVV1zhO3v2bKLtO3XqVIr2Z/HixW7b9913n+/77793/2/VqlXIdf3HX8c7IXrdQp1T6bEP/uO1bNmyRM+VNWvW+K6//np3/OOeW3PnzvU1b97cV6hQIXfu1qxZ0zd69OgE2/D666/7LrnkEl+ePHl8JUqU8HXq1Mm9L/znYGbgb8tff/3l+9e//uXejzrn9T4eNGiQe5+E8uOPP7r3jNbT+75kyZK+jh07+jZt2hRv3c2bN7vjf+mll/qKFy/utl+hQgV3Hum9ltrXIxT/tVLXTb2HdR3Va6Xr6nPPPRfy2pvS61hi15CErltx3wcffvihr3Xr1r5ixYq5x1apUsX9rTh06FDI9uk49evXz70+Op90POrXr+8bNWpU0DELdQu8tiVk7969voceesjtS758+dw5rv/rsT///HPI1+abb75xr43WzZs3r69p06a+1atXh9y+Xo9HH33UbVOvR+HChX0tW7b0ffzxxyl6/f1/95KznzpH7777bnc+6BjrPdikSRPflClT4l2DEjpGcd+rCf1d1E3tDqRrhfb1yJEjSR5/ID2QmQWijLKP/gxOOKhL6XXXXee+oVc3UXXFVJZN4/VOnToV2/XU7/7777epU6e6sakaD6guvcp6KfOmbWn8bnKsW7fOWrZsaX/88Yd7fmXNDhw44J67SZMmrovr9ddfn+R22rVr58YkTZw40f2ublOiLth+ytKprSoMpe7XyiCqC6i6oqp73X//+1833tNP3UL1/BqT3KJFC9dd9euvv3YFMz744AOX+VaXUunWrZt7rnfeecduuukmu/jii2O3E9iG1NI4TI2h1GujfdXY6HAev+SK+7rqGMl9992XaPd1dWHTa6Ns47Zt22Kzuy+++KL7OWzYMMuWLfHyD3rdUsK/bb02derUsUsvvdSWLl1qO3bssIoVK6ZoW8l5nnDug46TxvpqWEBCvvjiCxs3bpx7ne+55x73uvu71ut3davW0AOdOzoHdX6rjZ988onrhh/Y3XrChAk2cOBAt16XLl3cz48++shlaTJjb44777zTPvvsM/d+UOb9/ffft6eeesr27dvn9juQerDofaHrUtu2ba1atWq2c+dOe/vtt23JkiX26aeful4Fflr+wgsv2FVXXeX2X8dUQzf81wl1ty9btmyKXo/EaGiIri+HDx92mX39ri756s2wefNm17MhUEqvY4ldQzRGXDeNa9d7Qu8VCRzfqfvUW0Pj5zW0RY/77rvvXE8DHXftt14DPx0fXYt0TVK2V8devRd++OEHtx2dg9q+/qbEvV5L4LUzFG3riiuusJ9//tl159drqu/i9L7W9Vfd/atUqRL0GLVJ50ejRo1cb4dff/3VHeNrrrnGFbqqUaNG7Lp6HbR9tVdj/tU2vZbz589311r93evZs2eyXn913U7Ofuo8vO2229yQDfXy6Nixo2uHenuo3akdaqDXWV599VX3dyywJkDcMbzaZ42v/c9//uNeZyDDpUuIDCDTWrdunftGPiYmxmVQ3nrrLd/27dtTnZnVcn3zfuLEidjlv//+u/sWW7czZ87ELv/Pf/7j1te31oHfzOub/yuvvDJk9irUcyu7ouyvvg1esWJF0PrKMChLUapUqRRl5EJlhf3ZFh0vPd/OnTuD7lP2K1u2bL527doFLdfx/Pvvv+Nta/r06W5flLVOah8DpSUzW7duXd/+/fuD7gv38UsoM7ty5Up3fJQtiJt9VYZGj1m6dGmS22/cuLFbd9asWe73X3/91f2eI0cO38mTJ33hpNc4e/bs7hz1e/75593zDR06NGyZ2fTYB/WQUNvr1KkT8v7ArNYLL7wQ737/eXjzzTcHvZ9F55fuU6+KwP3Se0PZpMBzU1nm9u3bJ5qxD2XhwoXueZJ7S0nvEv/7QRnkgwcPBh0zvRd0nu7Zsyd2uXpQKKumjOLGjRuDtqVsff78+X316tWLd+6Ees989NFHbvu9evVK0euRGP+1V1n9wOfUvvnfW3r/peU6ltg1xC+hc3/58uXuvkaNGsXLwvrPs/79+wf9DahUqZJbPmfOnHjbi5vZTuh6nZh333033vMGPv/Ro0dDvjZxr8t6rbRcvZwCKcOt5foZmBnfsmWLr2DBgu46GPg+Sc7rn9h+6jXRdvW6xr2Oxz1mKc3MJva3Ja5Fixa59R555JFE1wPSC8EsEIXmzZvngpXArkPqYqoPM/qDn9Jg9qeffor3mC5durj79MHPr3v37m7Zq6++Gm/9VatWJTuY9f/xVHe1UPSBW/cvWbIkmUck4Q8N+uCjbb333nshH6djpgAi8INQQvQBRx8+rrrqqgwLZnWs4gr38fOfQ/4g45///KevQ4cOsV+aTJo0Kd5j1F1Pj1EXuaTcfvvtbt0nn3zS/a4uefpdXSXDTd0Zte2xY8cGBQj6IKogP+6XFKkNZtNjHxSwaJvXXnttyPv9bb344otD3q/lCq5DdQHVfiuwU5fPuN2kH3/88Xjrq8umAqSUBLOJdW0MdUtJMON/P4Tq7qn26z51L4/7Hpg8eXLI7fmvC3ED3YQoIFR3/pS8HonxX3v1BWFc/utJt27d0nQdS+wa4pfQua/t6b4NGzaEfJz2Wd1h/RYsWODWv/HGG33JkZZgdsiQIUmu639t9GVBXPqCVu8TdScPDIbVbblAgQJBX5b46YswbU/dtVPy+ie2n88884x7vIa0JCU9g1l1Xdd6uk4DkUA3YyAKdejQwVUoVje5VatW2TfffON+qoupbuou6J8uJinqSqjud3H5i/kETq2i5xF1p4pL3SKTWy1W3bJE3cNCTRugrnPy448/uq6y6g4Wd85YdYcM7LqV1HOpWJa62sWl7okqGKRu2+qOKuqWOG3aNHvjjTdclzMV71FXY79du3ZZRmnQoEGaj19yqVthIJ0/L7/8st19992WGSR1Hug1UnvV5VfvAT91k1SXRHUvVLe+wErfmcnBgwfdz7hFpJJzTqgLpromFi9ePLZrY1zqnqpzwk9d1UXdEONSd01dA3SOJZeuOek9PdVll12WrGuV/z2iYxLqPeIfpqHjUatWLfd/xXZz5sxx+6DHaXu6Nvgl1HU41OsR6jnVlTewi6eul6GK7vi7hPqvt6m9jiXWvqTo+TS04M0333S3uNQlev/+/e6c1dAXdXEWdWVOLzpP1c37iSeecOeurm3qIqtuu+qan9zzRft1/vnnB50v6tbt78as60VcV199tY0ZMyboNUnL8ZWMOGbJ4d9fdY8GIoFgFohS+oOscTy6iT7I6MO6xuy89tprLtj1j5tJTELjOv2BaeCHOX9FVn0QiEsfJvzjeZP7oT3Uh6RAmuLFH8TEDbQ0zis5waz/uZ5++ulkPZdozlSNOdUHeo2D1byL/jGPChQ0vimjhJrzMaXHL7n888keP37cfZjt3r279erVyx1rfZiL2y6NgdV8rknN56t1ROOsxT/GVvuhcdmalzU5kjoPNNZTwZfG7cUd26hAQu8PjXMNDGb9Y10Dv6yIy39f4LjY1O5DYvzVi7W9lJ4T+mCu108BRtxjlJDE3s/+50lJMJsRQl2vQl2r/O8R/9ju5LxHNHZY72+9tv5zyP+aKMBN6FiEej1CvQYKUgODWX3xECoI828vsAJ2aq5jibUvKXq+v//+O8lzSc+n677GeUqoMcXhovG5CgA1FlV1GvR+9x/HPn362NChQ+ON7U/s71uov20Jjf/3L/fvZ6DUzsubEccsOU6ePOl+Uj0dkUIwC8DRhyJlbL///nv3DbLm+UxOMJsS/mIfv//+e7xCG/pgoA9AyfnD7C8so6IdycmSKRDxFyhJKf9z6cNKYLGShKhgiAJZFWZRsafAbLOCGhXlSCl/EKQPh3GF+nAUKFR2PaXHL6Xy58/v9l9FZVQgp2vXri5zkS9fvth1lJ1XMKuCRSrGkhAFWSqeJcp6+DNpKlSjYiwqOuL/Qiat54G/IJM+5CbUK0FFgRRc+7N5/mPpDxZC8WcsAj8Yp3YfEuMv7pVYW5I6J+rVqxebcU2K/zF6P9euXTvkHLopoay5vnBIruT2rkgN/74pw3rRRRclub4ym5MmTXIFwzTnpr/AW+CUaCl5PfxfDCVG55Wum3EDWv9xDyzAldLrWFLtS4qeT9c7FXNKDv97I717raiwmXpf6Piq14z+zqlQluaRVntHjx6dqu36j29C5/yePXuC1kvr8Y17zOrWrZvqvyHJ+TuSGP/1xn/9ATJa4uUTAUQd/4ew5HyYSil9UBZ1aY5L35gn9Ic2Ln+lVlUlTW8pfa6tW7e6nwoS43abVsVm/7fYgfwfRgO/6Q/k7zbqz1DGDZ5TKqOOn4IAVStWBVhVvQ2kyqCiSqoKhhKiyqfKZCs4DpynVlVZRV+8JJYVleRkwvUh9L333nMf9JVRDnVTMO2fg9ZP1UyVdVf3zISCSH8XT83tHCjc+6DsT4kSJdwXBylVoEABF5Cq+m5yAxB/JV91XY3rl19+CXm+JhXMKpOX3FtC3aHDIaXvEe2vXkN9KRE3kNX5r/vDTddLBc5xqbJs4PU2o6+Z/ufTF1E6n5K7vugLwOTQNTOh62VyKIDU+d6vXz9XoVviDkFICV0H9GWdvvwIFRhqSI8EVr9O636m5Jgl9jdEc1mHmt0gqb9Lfps2bUpWNWkg3URkpC6AiNEckqogG2peS1Xz1Px+ujTMnz8/2fPMhuKvfho4J50qLvqrGWs+vsDiGZq7L7kFoFSAQ1U5VUQooSJFn3/+ue/48ePJOiaJ7YsKFKmQ0QUXXOAK7MSltgcWYfniiy9ce1XNNZAqPKuSaqh91D4kVEhH3njjDXe/5rcM9N1337mCI4kVgAol3Mcvsaq1qpzqn28x7hy7nTt3do+77LLLQs7DOXXqVFeURvsYt9CO2vaPf/zDPf6uu+4KWbTozz//9I0YMcIVKkqK5h4NVaE0kAqdqaCV5lMOfP/4Cxdprse483tqv8qWLevuj1txNNz7IJpDNKGibEkVdHn55Zfd/TfddFPItuj1+/rrr9OtmnF6Suz9EOoac+DAAXfOqkiRinXFpX0MvLbp2qltNGjQIKhImF4/zVEc6lgkt8BOSqsZ670dt5pxSq9jkpx5ghMqAKUKyf5qxqHmsFUVaV0rQ1Uz1t+ouOJeH1SITNeVuFW3E6NiVJpnNq6vvvoq9rVL7msT6u+F5hPWY/r27Ru0fOvWra6yv47/L7/8kuznSGo/A6sZB77WCR0zzRet62ngtVTnqr8wY9zXWutpmYo5JiZUsUcgI9HNGIgymuP0ueeec+N01NXTn+1Sl08Vt1HmUOM8NedeehTgUDZK3Tn1rbjmL9QYJXVHVfcrjYlMar5N0WM0p6PGpbVp08YVQdG3wvpmXN88q8CJMiHq2hXYtTU1NJ5TmTiNJVabNZef5gBUkSd1EVWmQ9kw/7fTml9QGTy1T+3SMVbmUd+e69t7/7jPQJrDUO1UpknZPf8YKmUNdFz0elxwwQWuq6KyPA0bNnTP7Z+bVvMYpkRGHj91G9e4WZ1z6mKt+RT9dB4ou6T90rFRIRPtp8bcKpOxYcMGN55OY1X9RXb81C51+dV5qqI7OofUXblq1aquV4Ey5JoXVVmHyZMnJ9pGra8McWDGOBQVOtM5rMyXXk8dO3n22WfdMdM8pcrCqh3K8Prnr/zzzz/dfLlxCyWFcx/89J7S8VJX6VCF2RKjc1xduqdMmeLaoPNDXaGVqdX1Qd2hVcxLc6mKxm+qmM5DDz3ksoAaK67zVc+t7JQy85pX1It03i1YsMDVDlAGTPOK6v2vjJ7eI3qd/eOdRe9ZzfWqom96LylDqy69yvppPLSWpaQLdXIoE6+Mvbo2qyeIrklqs963GgOquVpTex1LKx0vnRtDhgxx72kVW9LfGo2R1ftC2XxdG3X++4tjaQy/jpvmAlYBPR13HV8V2dL7ILDnjrav95z2Q/up3hHq+aBCbQnRa/HII4+46632Xd1idT3Ve1R/d3RfWmh/dRz1XlXbNN+wf55ZXQO0PLB3SXIktp8a6zt37lx3/dBz6fqp95yuF3rf6TzV+9ZP++fvYaK5aXVe6jqrc0DbVFY5kK7Jun7rnNbfDNUX0PnfuXPn2Pm21RtBQ0W0rs5DICIyNHQGEHGa31LTTWjqBGVIzzvvPPfNrqbq0XyxmsszbtY2XJlZ0bbHjx/vq1GjhpvupHTp0r4+ffq4TK0ycMpUJee5/dnOwYMH+2rXru2yjJr7UZllZae0H5pPNbmSmupBWVBl4CpUqODarWyUnldzCn7yySdB6yo7ogyftqdv1TXvo6aDUCYuoef54IMPfJdffrnbB/+35IHZLr1umu5Gz5snTx6XzdQcwUlNzZOYcB2/pDJwyoZo2grdQmVGNA/nrbfe6jKYOrbKNiiLrX0KNc1F3PNJvQg0N6oer+OtfdH5pYzD6tWrk2y/eiqo/XHnDQ1Fc2CGmkJEGThld/W66D2lqTs07c4NN9yQ5BRH4diHwAxXyZIlg7JMKc0EaoqaNm3auKykrg3aD2WIHnvssZBTKSmTpmOndhcvXtxlmZWNS845mFkzs356D95///3ufaH902ur10VzdGte3EB6f2taKv8czuXKlXPXNmV50zL1SSj+64ium3oOTRul946yb88991y8HgKpuY6lJTPr99lnn/luu+02d53XuaTzQ9f4AQMGuIxoXDt27HDXTmVptb6mjNO5rPdW3Myu5u3V+0XZxsSmnfH74Ycf3PNqSh21Q/uvY6jrXdz3WGoys6IeDYMGDXLni7avjGyLFi3cNS6u5Lz+ydlPZZzVy0XngI6Z3v/q6TRt2rSQc53XqlXLtU3va73uCZ2f8uWXX/quvvpqd01Wr5S4f9O1X1qWkjmfgXCL0T+RCaMBIHg6GH1bruxGYsVSACRO2e9//vOfrpBT4LhJZB3+qsbbt2+PdFMQxdQTRFn2n3/+OWRxKyAjUAAKQIZSoZ24xW40P5+/Kqm69QFIvQEDBrjuwY8//jiHEUC60Jy5qtyvOZEJZBFJjJkFkKE0LlSZV82ZqDFfCm41HkpjlzTmR2N5AKSexsLNmjXLjYfT+GNNlQQA4aS/3ZrKSDURgEiimzGADKXAVdOtqBiKCsto+hp1L1bRD2Vn405aDwAIRjdjAPgfglkAAAAAgOcwZhYAAAAA4DkEswAAAAAAzyGYBQAAAAB4DtWMs7DDhw+7+b/Kly9vuXPnjnRzAAAAAESJ06dP22+//WbNmjWzwoULp8tzEMxmYQpk27VrF+lmAAAAAIhSixYtsptuuildtk0wm4UpIyv9+vWznj17Rro5AAAAAKLE1q1bXWLNH5OkB4LZLMzftfj888+32rVrR7o5AAAAAKJM7nQc7kgBKAAAAACA5xDMAgAAAAA8h2AWAAAAAOA5BLMAAAAAAM8hmAUAAAAAeA7BbBSoWbNmpJsAAAAAAGFFMBsFCGYBAAAAZDXMMxsF7pv0thUosSbSzQAAAEi2pWPu4WgBSBSZWQAAAACA5xDMRoGiMScj3QQAAAAACCuC2ShAMAsAAAAgqyGYBQAAAAB4DsFsJnbixAkbMWKErVixItJNAQAAAIBMhWA2kwezI0eOJJgFAAAAgDgIZgEAAAAAnkMwmwo7duywPn36WI0aNSxv3rxWrFgxu+2222z79u1B682cOdNiYmJs1apV9sADD1iJEiWscOHC1rNnTztz5owdPnzYunTpYkWKFHG3QYMGmc/nc4/VtrS+KDur7eimbscAAAAAEO1yRLoBXvTVV1/Z559/bnfccYeVK1fOBZ5Tp0615s2b2w8//GD58uULWr9fv35WqlQpF5T+97//tRdffNEFtdpGhQoVbOzYsfb+++/b008/bXXq1HEBrgJZbbN379528803W/v27d22LrroopBt2rdvn+3fvz9o2datW9PxKAAAAABA5BDMpkKbNm3s1ltvDVrWtm1ba9Sokb311lvWuXPnoPvOP/98F6wqs6qMroJMBa7K0CpglR49elilSpXslVdeccFs/vz53XMomFUA26lTp0TbNGXKFBcsAwAAAEA0oJtxKqhrsd9ff/1lBw8etGrVqrls67p16+Kt3717dxfI+jVs2NB1J9Zyv+zZs9tll11mv/zyS2qa5ILkDRs2BN0WLVrk7jvp4zsLAAAAAFkLUU4qnDx50saNG2czZsywXbt2xY5zlSNHjsRbX12JAxUqVMj9LF++fLzlhw4dSk2TrGTJku4Wyi5fQSuQqq0CAAAAQOZEMJsKGgOrQLZ///6ua7GCUGVeNYb23Llz8dZX1jWUUMsDA2MAAAAAQGgEs6mwYMEC69q1qz377LOxy06dOuWqE4dTYNdkAAAAAMD/YcxsKiijGjeD+vzzz9vZs2ctnPxVkdMaJOe1v8LUIgAAAADIHMjMpsINN9xgs2bNct2La9WqZV988YUtW7bMzTcb7kJT2v68efOsevXqVrRoUTd1j24pUTbbn7Y3rC0DAAAAgMgimE2F5557zmVn58yZ47oXX3HFFS6Yve6668L+Ak2fPt2N0R0wYICdOXPGhg8fnuJgFgAAAACymhgfFYeyrI0bN7rAt3Ov/ra3WN1INwcAACDZlo65h6MFZIFYZMOGDVa7du10eQ7GzAIAAAAAPIduxlGgRrni9tpjfLsJAAAAIOsgMwsAAAAA8ByCWQAAAACA5xDMAgAAAAA8h2AWAAAAAOA5BLNRoF27dpFuAgAAAACEFcEsAAAAAMBzCGYBAAAAAJ5DMAsAAAAA8ByC2SiwaNGiSDcBAAAAAMKKYBYAAAAA4DkEswAAAAAAzyGYBQAAAAB4DsEsAAAAAMBzCGYBAAAAAJ5DMAsAAAAA8ByCWQAAAACA5xDMAgAAAAA8h2A2CjRp0iTSTQAAAACAsCKYjQLFixePdBMAAAAAIKxyhHdzyIzum/S2FSixxrKqpWPuiXQTAAAAAGQwMrMAAAAAAM8hmI0CZWOORroJAAAAABBWBLNRIG/M35FuAgAAAACEFcEsAAAAAMBzCGbT2YoVKywmJsb9BAAAAACEB8EsAAAAAMBzCGYBAAAAAJ5DMOsxx48fj3QTAAAAACDismQwq/Gpl112meXJk8eqVq1q06ZNsxEjRrixq4Fmz55tl156qeXNm9eKFi1qd9xxh/32229B6zRv3tzq1KljP/zwg1111VWWL18+K1u2rD311FPxnnfnzp3Wrl07y58/v5UsWdIGDBhgp0+fDtnGNWvWWKtWraxQoUJum82aNbPVq1cHreNvs577zjvvtCJFiliTJk3CcowAAAAAwMtyWBbzzTffuCCxdOnSNnLkSDt79qyNGjXKSpQoEbTev/71Lxs2bJh16NDB7r33Xtu/f789//zz1rRpU7eNwoULx6576NAht8327du79RcsWGCDBw+2unXrWuvWrd06J0+etGuuucZ+/fVXe+CBB6xMmTI2a9YsW758ebw2apkep0B6+PDhli1bNpsxY4ZdffXV9tlnn1mDBg2C1r/tttvsggsusLFjx5rP5wu53/v27XP7EGjr1q1pOpYAAAAAkFlluWBWwWH27NldllMBpSgAvfDCC2PX2bFjh1tvzJgx9s9//jN2uYLVevXq2ZQpU4KW796921577TXr3Lmz+7179+5WsWJFe/nll2OD2RdffNG2bNli8+fPd8Gn3HffffaPf/wjqH0KRnv16uWyvB988EFstrhnz55Wu3ZtGzp0qC1dujToMdrG3LlzE91vtVnBeyh/+PIm8+gBAAAAgDdkqW7GysIuW7bMdfX1B7JSrVq12KBT3n77bTt37pwLcg8cOBB7K1WqlMuAfvrpp0HbLVCggHXq1Cn291y5crns6S+//BK77P3333fZ4FtvvTV2mboP9+jRI2hb69evt59++sl1Gz548GDsc2ssrDK7//nPf1zbAin4TUqfPn1sw4YNQbdFixa5+whmAQAAAGQ1WSozq6626u6r4DWuwGUKJpUhVeAaSs6cOYN+L1euXLzxthq/+t133wVle/UccderUaNG0O96bunatWuC+3HkyBG3fb/KlStbUjRGVzcAAAAAiAZZKphNLmU+FXSqm6+6JMelTGygUOtIQuNXk3puefrpp+3iiy8OuU7c51eBKgAAAABAFg1mlZlUBeNQhY8Cl6nCsQJRZTyrV68elufWGFp17dV2A7OzmzdvDlpPzy0FCxa0Fi1aWEYoGnPSzmTIMwEAAABAxshSY2aVQVWAqLGiKtoUGMgqCxtY6EnrqmBS3OyqftdY1pS6/vrr3XOq0rHfiRMnXGGoQKpgrID2mWeesWPHjsXbTtyKxOEKZgEAAAAgK8lSmVn/3KyqBnzFFVdY7969XVGoyZMnu7liVXxJFEyqkvGQIUNs+/btrmDUeeedZ9u2bbOFCxe6ok0PP/xwip5XlYv1PF26dLGvv/7aFYPS1DwqAhVI0/BMnz7dFaRS9eK7777bzVu7a9cuV3hKGdvFixeH9ZgAAAAAQFaT5YJZZT6VhVUwqnlky5cv7+aZ/fHHH23Tpk2x6z366KOui/GECRNip7TRui1btrQbb7wxxc+roPWTTz6xfv36uflq9ftdd93lglbNURuoefPm9sUXX9jo0aNdAKwMrSopN2zY0E3RAwAAAABIXIwvNVWMPEjZ140bN8ZWE44G2l9lpDv36m97i9W1rGrpmHsi3QQAAAAAIWIR1RVSj9T0kKXGzPppep5ACmA1D6wyogAAAAAA78ty3YylSpUq1q1bN/dT879OnTrVcuXKZYMGDbJoVKNccXvtMbKXAAAAALKOLBnMaozq66+/bnv37rXcuXNbo0aNbOzYsXbBBRdEumkAAAAAgDDIksHsjBkzIt0EAAAAAEA6ypJjZhGsePHiHBIAAAAAWQrBbBRo0qRJpJsAAAAAAGFFMAsAAAAA8ByCWQAAAACA5xDMRoEDBw5EugkAAAAAEFYEs1Fg1apVkW4CAAAAAIQVwSwAAAAAwHMIZgEAAAAAnkMwCwAAAADwHIJZAAAAAIDnEMwCAAAAADyHYBYAAAAA4DkEswAAAAAAzyGYBQAAAAB4DsFsFGjXrl2kmwAAAAAAYUUwCwAAAADwHIJZAAAAAIDn5Ih0A5D+7pv0thUoscbTh3rpmHsi3QQAAAAAmQiZ2ShQLdsfkW4CAAAAAIQVwSwAAAAAwHMIZgEAAAAAnpMlgtkVK1ZYTEyM+wkAAAAAyPqyRDAbyty5c23ixImRbgYAAAAAIB1kiWrGTZs2tZMnT1quXLmCgtkNGzZY//79I9o2AAAAAED4ZYlgNlu2bJYnT55INwMAAAAAkEE80814165d1r17dytTpozlzp3bKleubL1797YzZ87EGzPbvHlzW7Jkie3YscMt161SpUp27Ngxy58/vz344IPxtr9z507Lnj27jRs3Ltlt0nb79u1rc+bMsRo1ariA+tJLL7X//Oc/8db95ptvrHXr1lawYEErUKCAXXPNNfbf//43aJ2ZM2e6berxPXv2tGLFirn1u3TpYocOHUrVcQMAAACArMgTmdndu3dbgwYN7PDhw9ajRw+rWbOmC24XLFhgJ06ciLf+Y489ZkeOHHEB6oQJE9wyBZC63XzzzTZv3jwbP368C179Xn/9dfP5fHbXXXelqG0rV65023vggQdckD1lyhRr1aqVffnll1anTh23zsaNG+3KK690gemgQYMsZ86cNm3aNBd06/ENGzYM2qYC5MKFC9uIESNs8+bNNnXqVBeY+4P2UPbt22f79+8PWrZ169YU7QsAAAAAeIUngtkhQ4bY3r17bc2aNXbZZZfFLh81apQLQOO69tprrWzZsi6b2alTp6D7lOVUJvXjjz92Qaff7Nmz3djbChUqpKhtGpe7du1al5GVO+64w2VpH3/8cXv77bfdsqFDh9pff/1lq1atsipVqsS2Q+spuFVAG0hjfz/55BMX9ErFihXdeosXL7Ybb7wxZDsURI8cOTLkfbvOnWf/F7YDAAAAgPdl+m7G586ds0WLFlnbtm2DAlm/hDKVCWnRooXrqqyANjAg/e677+IFvsnRqFGj2EBWFAzfdNNN9tFHH9nZs2fdbenSpdauXbvYQFZKly5td955pwtwjx49GrRNZZ/9gayoO3WOHDns/fffT7Adffr0cfsReNNxk5P2f9sCAAAAgKwg02dm1XVWwZ6/y244ikWpK7G67qqLcr58+Vxgq/Gut912W4q3d8EFF8RbVr16dbdtf7df/V9Z2LguvPBCF6z/9ttvVrt27QS3qe7RCn63b9+eYDtKlizpbgAAAAAQDTJ9ZjY9qIuvikEpc6luyprG54YbbrBChQpFumkAAAAAgKwQzJYoUcIVTlK32ZRIrPuxsrz16tVzGdnPPvvMfv31V+vcuXOq2vfTTz/FW7ZlyxaX8VXbddP/Vcgprk2bNrlMcfny5RPdpgLvPXv2uIrMqVE2JrgbMwAAAAB4XaYPZhXsabypih+p0FJcoQpAiabgUUXjhCh41VjWiRMnuilwNG1OanzxxRe2bt262N/VZfidd96xli1bumrJuun/WhbYTfj33393GeEmTZq4YD3Qiy++6ApG+alL9N9//53qNuaN+TtVjwMAAACAzCrTj5mVsWPHusCzWbNmrjiSxpoqU/nmm2+6AkqhqCiTpswZOHCg1a9f3407VREpPxVfUoXghQsXugJLgQWXUkJZ3uuuuy5oah4JrCw8ZswYVz1ZgasKNamYk6bmOX36tD311FPxtqm5czUPbYcOHVxGV9vUYxOqZAwAAAAA0cYTwaym2dG0PMOGDXNdg1UQSsuUqVQX3lAUNK5fv95mzJjh5prV9DaBwez555/vMqaqEJzaLsaiAFsVjRW8qrtyrVq1bObMmXbRRRfFrqPiTurOrCmGxo0b54o+aW5ZTQcUd45ZmTx5sttPTe+jDG3Hjh1t0qRJKa7cDAAAAABZlSeCWf+UN6+++mrI+5o3bx6vu7G6GQdOvxOK5nOtWrWqC0bTQtWRdUuMxuh++OGHydqeAnRlbnUDAAAAAHhwzGx6UTflJUuWpCkrCwAAAACIDM9kZsNl27Zttnr1aps+fbobJ9uzZ8946+zduzfRbeTNm9dT0/jUKFfcXnvsnkg3AwAAAADCJuqC2ZUrV9rdd98d2225VKlS8dYpXbp0otvo2rWrGxcLAAAAAIiMqAtmu3Xr5m6JUeXhxJQpUybRaYHSs20AAAAAgCgMZpOjRYsWlpXUrFkz0k0AAAAAgLCK2gJQ0YRgFgAAAEBWQzALAAAAAPAcglkAAAAAgOcQzEaBTZs2RboJAAAAABBWBLNRgGAWAAAAQFZDMAsAAAAA8ByCWQAAAACA5xDMAgAAAAA8h2AWAAAAAOA5BLMAAAAAAM8hmAUAAAAAeA7BLAAAAADAcwhmo0Dx4sUj3QQAAAAACCuC2SjQpEmTSDcBAAAAAMKKYBYAAAAA4DkEswAAAAAAz8kR6QYg/T0waZ5lL1EpUx/qpWPuiXQTAAAAAHgImdkoUDbbn5FuAgAAAACEFcEsAAAAAMBzCGYBAAAAAJ5DMAsAAAAA8ByC2RBmzpxpMTExtnbt2rBta/v27WneFgAAAADgfwhmM7G5c+faxIkTI90MAAAAAMh0CGYzMYJZAAAAAIjyYPbcuXN26tSpSDcDAAAAAODFYHbEiBFuDOmWLVusU6dOVqhQIStRooQNGzbMfD6f/fbbb3bTTTdZwYIFrVSpUvbss88GPf706dM2fPhwq1atmuXOndvKly9vgwYNcssD6Tn69u1rc+bMsdq1a7t1P/zwQ3ffrl27rHv37lamTBm3vHLlyta7d287c+ZMvOcaOHCga1/+/Pnt5ptvtv3796f5GLzzzjvWpk2b2OevWrWqjR492s6ePRu7TvPmzW3JkiW2Y8cOty+6VapUKcFt7tu3zzZu3Bh027p1a5rbCgAAAACZUY5IPfHtt99uF154oT3xxBMuaBszZowVLVrUpk2bZldffbU9+eSTLhB9+OGHrX79+ta0aVOXXb3xxhtt1apV1qNHD/f477//3iZMmOCC40WLFgU9x/Lly23+/PkuqC1evLgLBnfv3m0NGjSww4cPu23UrFnTBbcLFiywEydOWK5cuWIf369fPytSpIgLnlXASeNXta158+aluShUgQIFXKCsn2rn448/bkePHrWnn37arfPYY4/ZkSNHbOfOnW7/ROsmZMqUKTZy5MiQ9209V9QSfiQAAAAAeE/EglkFlApcRUGlAs2HHnrIxo0bZ4MHD3bLO3bs6LKXr7zyigtmNYZ02bJltnLlSmvSpEnsturUqWO9evWyzz//3Bo3bhy7fPPmzS7YrVWrVuyyrl272t69e23NmjV22WWXxS4fNWqUywwHKlasmC1dutRlRUXB9KRJk1yQqYxyamk/8ubNG/u72q6bAlIF9crWXnvttVa2bFk7dOiQy2AnpU+fPnbbbbcFLVNmtl27dqluJwAAAABkVhEbM3vvvffG/j979uwusFQwqe6/foULF7YaNWrYL7/84n5/8803XTZW2dQDBw7E3pTJlU8//TToOZo1axYUyCoYVfa2bdu2QYGsnz9o9VOQHbjsyiuvdF2B1fU3LQID2T///NPtg7atzPCmTZtStc2SJUu67tSBN3XFBgAAAICsKGKZ2QoVKgT9rkxnnjx5XHfguMsPHjzo/v/TTz/Zjz/+6MawJjRuNJDGwgbSeFd15VUmNzVtVJdjUbY0LTSedejQoa57sdoTSFlfAAAAAEAmDWaVjU3OMvF3/1VmtW7dujZ+/PiQ66kYVEIZ0HC1MbA9qaGxusoYq8CVujar+JOC+HXr1rnu1drHcKuW7Q/ba2XDvl0AAAAAiLpgNjUU+H377bd2zTXXxOsSnBzK6CqI3LBhg0XKihUrXKb57bffduOA/bZt2xZv3dTsIwAAAABEA0/NM9uhQwdXefill16Kd9/Jkyft+PHjiT4+W7ZsriDS4sWLbe3atWHNuKY02xv4XJoSSMWf4tJ0QHQ7BgAAAACPZ2Y7d+7sptpR5V8Ve7riiitcQSYVTdLyjz76KGRhp0Bjx451FYrV1dc/vc+ePXtccSlN+aOiU+lJ1ZY19lZVlR944AGXfZ01a1bIQPrSSy910wBpCh9NT6SpeVS8CgAAAACinaeCWWVWVY1Y866+9tprtnDhQsuXL59VqVLFHnzwQatevXqS29B0N5qWZ9iwYW4eWxVg0rLWrVu7baU3Tffz3nvvuWmIVARKga2m3lHX6euuuy7edDvr16+3GTNmuH2uWLEiwSwAAAAAaFimLyP61iIiVDVZlZs79+pve4vVzdSvwtIx90S6CQAAAADCHIuoXpGmDbVoz8widWqUK26vPUawCAAAACDrIJhNpWPHjrlbUtWTE5reBwAAAACQegSzqfTMM8/YyJEjE11H0+1UqlQptU8BAAAAAEgAwWwqdenSxZo0aZLoOqVKlbLMIKl2AgAAAIDXEMymkioo6+YFxYsXj3QTAAAAACCssoV3cwAAAAAApD+CWQAAAACA5xDMRoFVq1ZFugkAAAAAEFYEs1HgwIEDkW4CAAAAAIQVwSwAAAAAwHMIZgEAAAAAnkMwCwAAAADwHIJZAAAAAIDnEMwCAAAAADyHYBYAAAAA4DkEswAAAAAAzyGYjQI1a9aMdBMAAAAAIKwIZqMAwSwAAACArIZgFgAAAADgOQSzAAAAAADPIZiNAps2bYp0EwAAAAAgrHKEd3PIjN5ZtsqmfXPEMrOlY+6JdBMAAAAAeAiZWQAAAACA5xDMAgAAAAA8h2AWAAAAAOA5BLMZYObMmRYTE2Pbt2/PiKcDAAAAgCyPYDYTmzt3rk2cODHSzQAAAACATIdgNhMjmAUAAACA0AhmAQAAAACeQzAbAe+88461adPGypQpY7lz57aqVava6NGj7ezZs7HrNG/e3JYsWWI7duxw4211q1SpUqqe76SP6YQBAAAAZC1EOREqCFWgQAEbOHCg+7l8+XJ7/PHH7ejRo/b000+7dR577DE7cuSI7dy50yZMmOCWad2E7Nu3z/bv3x+0bOvWre7nLl9BS/iRAAAAAOA9BLMRGgubN2/e2N979erlblOmTLExY8a4bO21115rZcuWtUOHDlmnTp2S3KYeO3LkyHRuOQAAAABkDnQzjoDAQPbPP/+0AwcO2JVXXmknTpywTZs2pWqbffr0sQ0bNgTdFi1aFMZWAwAAAEDmQWY2AjZu3GhDhw513YvVtTiQuhanRsmSJd0tlLz2V6q2CQAAAACZFcFsBjt8+LA1a9bMChYsaKNGjXLFn/LkyWPr1q2zwYMH27lz58L+nGWz/Wl7w75VAAAAAIgcgtkMtmLFCjt48KC9/fbb1rRp09jl27Zti7euKhgDAAAAAOJjzGwGy549u/vp8/lil505c8YVcIorf/78qe52DAAAAABZGZnZDNa4cWMrUqSIde3a1R544AGXfZ01a1ZQcOt36aWX2rx589wUPvXr13dT87Rt2zajmwwAAAAAmQ6Z2QxWrFgxe++996x06dKuCNQzzzzjpuF56qmnQlYovvPOO23GjBnuZ79+/TK6uQAAAACQKZGZzQDdunVzt8Ds7BdffBFvvbjZWXUznjNnTkY0EQAAAAA8hcwsAAAAAMBzyMxGgRrlittrj90T6WYAAAAAQNiQmQUAAAAAeA7BbBRo165dpJsAAAAAAGFFMAsAAAAA8ByCWQAAAACA5xDMAgAAAAA8h2A2CixatCjSTQAAAACAsCKYBQAAAAB4DsEsAAAAAMBzCGYBAAAAAJ5DMAsAAAAA8ByCWQAAAACA5xDMAgAAAAA8h2AWAAAAAOA5BLMAAAAAAM8hmI0CTZo0iXQTAAAAACCsCGajQPHixSPdBAAAAAAIK4JZAAAAAIDnEMwCAAAAADyHYDYKrFq1KtJNAAAAAICwyhHezSEzWr1+k7019BXLjJaOuSfSTQAAAADgQWRmAQAAAACeQzALAAAAAPAcglkAAAAAgOcQzGaAFStWWExMjPsJAAAAAEg7gtkImTt3rk2cODFSTw8AAAAAnkY14wzQtGlTO3nypOXKlSsomN2wYYP1798/I5oAAAAAAFkKwWwGyJYtm+XJkycjngoAAAAAogLdjMNk165d1r17dytTpozlzp3bKleubL1797YzZ87EGzPbvHlzW7Jkie3YscMt161SpUp27Ngxy58/vz344IPxtr9z507Lnj27jRs3LsVt+8OXNyz7CAAAAACZBZnZMNi9e7c1aNDADh8+bD169LCaNWu64HbBggV24sSJeOs/9thjduTIERegTpgwwS0rUKCAu9188802b948Gz9+vAte/V5//XXz+Xx21113hWzDvn37bP/+/UHLtm7dGhvMFgjHjgIAAABAJkEwGwZDhgyxvXv32po1a+yyyy6LXT5q1CgXgMZ17bXXWtmyZe3QoUPWqVOnoPu6dOlic+bMsY8//thatWoVu3z27Nlu7G2FChVCtmHKlCk2cuTIcOwOAAAAAGR6dDNOo3PnztmiRYusbdu2QYGsn7oQp0SLFi1cV2UFtH4qFPXdd9/FC3wD9enTx60XeFO7AAAAACArIjObRurae/ToUatTp07YikWpK/HUqVNdF+V8+fK5wFYFpG677bYEH1eyZEl3C6VozEk7E5bWAQAAAEDmQGY2E1JXYxWDUmZV3ZQ1jc8NN9xghQoVStX2FMwCAAAAQFZCZjaNSpQoYQULFnTdelMise7HyvLWq1fPZWTLlStnv/76qz3//PNpbSoAAAAAZBlkZtN6ALNls3bt2tnixYtt7dq18e4PVQBKNAWPKhonpHPnzrZ06VKbOHGiFStWzFq3bp3WpgIAAABAlkEwGwZjx45141WbNWtmAwYMsBdffNFVFlaGNaGA9dJLL3VT+QwcONBNu6NgONCdd97pfi5cuNA6dOhgOXPmDEdTAQAAACBLoJtxGGiaHU3LM2zYMNc1WAWhtEzZVBVwSqj68Pr1623GjBlurtmKFSu6ish+559/vrVs2dLef/99l6UFAAAAAPwfgtkw0fyvr776asj7mjdvHq+7sboZB06/E0quXLmsatWq1qhRo3A1EwAAAACyBLoZZ1J79uyxJUuWkJUFAAAAgBDIzGYy27Zts9WrV9v06dPdONmePXumeZs1yhW31x67JyztAwAAAIDMgMxsJrNy5UqXjVVQq27LpUqVSvM2ixcvHpa2AQAAAEBmQWY2k+nWrZu7hVOTJk3Cuj0AAAAAiDQyswAAAAAAzyGYBQAAAAB4DsFsFDhw4ECkmwAAAAAAYUUwGwVWrVoV6SYAAAAAQFgRzAIAAAAAPIdgFgAAAADgOQSzAAAAAADPIZgFAAAAAHgOwSwAAAAAwHMIZgEAAAAAnkMwCwAAAADwHIJZAAAAAIDnEMxGgXbt2kW6CQAAAAAQVgSzAAAAAADPIZgFAAAAAHgOwSwAAAAAwHMIZqPAokWLIt0EAAAAAAirHOHdHDKjzTsPWMuhr6Tb9peOuSfdtg0AAAAAoZCZBQAAAAB4DsEsAAAAAMBzCGYBAAAAAJ5DMAsAAAAA8ByCWQAAAACA5xDMpsLcuXNt4sSJqT7oJ06csBEjRtiKFStSvQ0AAAAAiGYEsxEKZkeOHEkwCwAAAACpRDAbBXadOy/STQAAAACAsCKYDeHPP/+0/v37W6VKlSx37txWsmRJu/baa23dunXWvHlzW7Jkie3YscNiYmLcTevJmTNn7PHHH7dLL73UChUqZPnz57crr7zSPv3009htb9++3UqUKOH+r+ysfxvqduy3adMmu/XWW61o0aKWJ08eu+yyy+zdd99N9Yt80nKm+rEAAAAAkBnliHQDMqNevXrZggULrG/fvlarVi07ePCgrVq1yn788Ud77LHH7MiRI7Zz506bMGGCW79AgQLu59GjR2369OnWsWNHu++++1xQ/PLLL9t1111nX375pV188cUukJ06dar17t3bbr75Zmvfvr177EUXXeR+bty40a644gorW7asPfrooy4gnj9/vrVr187eeust95hQ9u3bZ/v37w9atnXr1nQ+UgAAAAAQGTE+n88XoefOtAoXLmydOnWyyZMnh7z/hhtusA0bNrgsa6CzZ8+6W65cuWKXHT582GrWrGlt2rRxga0cOHDABbXDhw8PyshKixYtXGD61Vdfuayw6CVq0qSJC1a3bNkSsk3ajjK9oTTqMcoKlChr6WXpmHvSbdsAAAAAvGfjxo1Wp04dFzfVrl07XZ6DbsYJBLNr1qyx3bt3p+hgZs+ePTaQPXfunP3xxx/2999/u27C6qKcFK2/fPly69Chg8vqKujVTZlhZXd/+ukn27VrV8jH9unTx50ogbdFixa5+8rGHE3RfgAAAABAZkc34xCeeuop69q1q5UvX96Nf73++uutS5cuVqVKlSQP6KuvvmrPPvusG/f6119/xS6vXLlyko9Vt2BlYYcNG+ZuoShrqy7IcWlcr26h5I35244k+ewAAAAA4B0EsyEoM6rCTQsXLrSlS5fa008/bU8++aS9/fbb1rp16wQP5uzZs61bt25ufOsjjzzigktla8eNG2c///xzki+Gsrny8MMPu0xsKNWqVUv+qwsAAAAAWRTBbAJKly7tuu7qpmzoJZdcYv/6179cMKvqw6GoaJSytwp6A9fR2NhACT3en/nNmTOnGzsLAAAAAAiNMbNxqICTqhUHUoa1TJkydvr0afe7KgzHXUeUhZXAmloae/vFF18ErZcvX77Y4lBxn0dT/0ybNs327NkTb/txqxUDAAAAQLQiMxuHCi+VK1fOzfP6j3/8w027s2zZMlddWGNhReNo582bZwMHDrT69eu7ddq2beuqHCsrq+lzVL1427Zt9sILL7jpfY4dOxb7HHnz5nXLtI3q1au7+WRV6Uu3f//7365ycd26dd30PsrW/v777y4g1nRA3377bcaeIQAAAACQCRHMxqGsqboWa6ysAlONY9U41SlTpri5YUX3r1+/3mbMmOHmmq1YsaILZjVedu/evS6z+tFHH7mAVeNo33zzTVuxYkXQ82g+2n79+tmAAQPszJkzriuyglk9Zu3atW6anZkzZ7pKxsrY1qtXzx5//PGMOzMAAAAAIBNjntkomNupc6/+trdY3XR7HuaZBQAAABCIeWYBAAAAAAiBbsZR4KYWTeyWW26JdDMAAAAAIGyoZhwFatasGekmAAAAAEBYEcwCAAAAADyHYBYAAAAA4DkEs1Fg06ZNkW4CAAAAAIQVwWwUIJgFAAAAkNUQzAIAAAAAPIdgFgAAAADgOQSzAAAAAADPIZgFAAAAAHgOwSwAAAAAwHMIZgEAAAAAnkMwCwAAAADwHILZKFC8ePFINwEAAAAAwopgNgo0adIk0k0AAAAAgLAimAUAAAAAeA7BLAAAAADAcwhmo8CBAwci3QQAAAAACCuC2SiwatWqSDcBAAAAAMKKYBYAAAAA4Dk5It0ApL/NOw9Yy6GvpHk7S8fcE5b2AAAAAEBakZkFAAAAAHgOwSwAAAAAwHMIZgEAAAAAnkMwG0HdunWzSpUqRbIJAAAAAOBJBLMAAAAAAM+hmnEEvfTSS3bu3LlINgEAAAAAPIlgNoJy5syZIc+z9VxRK5AhzwQAAAAAGYNuxulk+/btFhMTk+At1JhZ/2OeeeYZmzBhglWsWNHy5s1rzZo1sw0bNqRXUwEAAADAc8jMppMSJUrYrFmzgpb99ddfNmDAAMuVK1eij33ttdfszz//tPvvv99OnTplzz33nF199dX2/fff2/nnnx/yMfv27bP9+/cHLdu6dWsY9gQAAAAAMh+C2XSSP39+69SpU9AyBafHjh2zjz/+ONHHKgj96aefrGzZsu73Vq1aWcOGDe3JJ5+08ePHh3zMlClTbOTIkWHcAwAAAADIvOhmnEGUbVXA+dRTT9lVV12V6Lrt2rWLDWSlQYMGLph9//33E3xMnz59XFfkwNuiRYvcfdWy/RHGPQEAAACAyCMzmwHWr19vvXr1so4dO9rAgQOTXP+CCy6It6x69eo2f/78BB9TsmRJdwMAAACAaEBmNp0dOnTIbrnlFheMTp8+Pb2fDgAAAACiApnZdKQ5ZO+66y47fPiwLVu2zPLly5esx2m8bFxbtmwJqnwMAAAAANGMzGw6UkGmjz76yF5//XWrXLlysh+nsa67du2K/f3LL7+0NWvWWOvWrdOppQAAAADgLWRm04mm0Rk9erQ1bdrUTZsze/bsoPvjVjoOVK1aNWvSpIn17t3bTp8+bRMnTrRixYrZoEGD0qu5AAAAAOApBLPp5ODBg+bz+WzlypXuFldiwWyXLl0sW7ZsLohVIKxqxpMnT7bSpUunV3MBAAAAwFMIZtNJ8+bNXTCbmJkzZyZ4n6oeJ6fyMQAAAABEI8bMAgAAAAA8h8xsFOh+Rztr1qxZpJsBAAAAAGFDZjYKFC9ePNJNAAAAAICwIjObiWge2aTG2QIAAAAAyMwCAAAAADyIbsZRYNWqVZFuAgAAAACEFcFsFDhw4ECkmwAAAAAAYUUwCwAAAADwHIJZAAAAAIDnEMwCAAAAADyHYBYAAAAA4DkEswAAAAAAzyGYBQAAAAB4DsEsAAAAAMBzCGajQM2aNSPdBAAAAAAIK4LZKEAwCwAAACCrIZgFAAAAAHgOwSwAAAAAwHMIZqPApk2bIt0EAAAAAAgrgtkoQDALAAAAIKshmAUAAAAAeE6OSDcA6W/zzgPWcugrad7O0jH3hKU9AAAAAJBWZGYBAAAAAJ5DMAsAAAAA8ByCWQAAAACA5xDMJmLmzJkWExNja9euzbhXBAAAAACQJILZTGr37t02YsQIW79+faSbAgAAAACZDsFsJg5mR44cGZZg9qSPotUAAAAAspaoC2bPnTtnp06dsmiyy1cw0k0AAAAAgKwRzKoLrcajbtmyxTp16mSFChWyEiVK2LBhw8zn89lvv/1mN910kxUsWNBKlSplzz77bNDjT58+bcOHD7dq1apZ7ty5rXz58jZo0CC3PJCeo2/fvjZnzhyrXbu2W/fDDz909+3atcu6d+9uZcqUccsrV65svXv3tjNnzsR7roEDB7r25c+f326++Wbbv39/0DrvvPOOtWnTJnZbVatWtdGjR9vZs2eD1mvevLnVqVPHfvjhB7vqqqssX758VrZsWXvqqadi11mxYoXVr1/f/f/uu+92+6CbxvACAAAAAMwi3v/09ttvtwsvvNCeeOIJW7JkiY0ZM8aKFi1q06ZNs6uvvtqefPJJF4g+/PDDLsBr2rSpy67eeOONtmrVKuvRo4d7/Pfff28TJkxwwfGiRYuCnmP58uU2f/58F9QWL17cKlWq5LrxNmjQwA4fPuy2UbNmTRfcLliwwE6cOGG5cuWKfXy/fv2sSJEiLnjevn27TZw40W1r3rx5seso0CxQoIALevVTz/n444/b0aNH7emnnw5qz6FDh6xVq1bWvn1769Chg3vOwYMHW926da1169Zuf0aNGuUer7ZdeeWV7nGNGzdO8Dju27cvXoC9devWNL8+AAAAAJAZRTyYVUCpwFUUuCnQfOihh2zcuHEuwJOOHTu6jOcrr7zigtm5c+fasmXLbOXKldakSZPYbSnj2atXL/v888+DAr/Nmze7YLdWrVqxy7p27Wp79+61NWvW2GWXXRa7XEGkMsOBihUrZkuXLnXZUVEwPWnSJDty5IjLKIvalDdv3tjHqB26TZkyxQXoytb6KZB+7bXXrHPnzu53ZYcrVqxoL7/8sgtmzz//fPdTwWyjRo1c5jopeh6NsQ0lr/2V5OMBAAAAwEsiPmb23nvvjf1/9uzZXWCpYFIBnl/hwoWtRo0a9ssvv7jf33zzTZe9VDb1wIEDsTdlcuXTTz8Neo5mzZoFBbIKRpW9bdu2bVAg6+cPWv0UZAcuU6ZU3Yd37NgRuywwkP3zzz9de7SesrybNm0K2p4yt4EBqrLACur9+5caffr0sQ0bNgTd/Bnqstn+TPV2AQAAACAzinhmtkKFCkG/K9OZJ08e1x047vKDBw+6///000/2448/ujGsCXW5DaSxsIHUHVfdf5XJTU0b1eXY313Yb+PGjTZ06FDXvVjbDqQMbqBy5crFC5i1ze+++85Sq2TJku4GAAAAANEg4sGssrHJWSb+7r/KrGp86fjx40Oup2JQgQKzpuFqY2B7NO5W2V8Vq1I3ZRV/UkC+bt0611Va7U3J9gAAAAAAmTyYTQ0Fi99++61dc8018TKcyaGMrgJPdcUNB1UfVtb47bffdmN6/bZt25bqbaZmvwAAAAAgWkR8zGxqqAKwKg+/9NJL8e47efKkHT9+PNHHZ8uWzdq1a2eLFy+2tWvXpjlD6s+0Bj5O0/uoKFNqaQogf9YXAAAAAJAFMrOqAqypdlQtWMWerrjiCleQSYWWtPyjjz4KWdgp0NixY12FYnUP9k/vs2fPHldcSlP+qOhUcqlyssa8qkLyAw884LKqs2bNSlO3YWWf1YYXXnjBzjvvPBfcNmzYMN74XwAAAACIRp4MZpVZVaVezSurKW4WLlxo+fLlsypVqtiDDz5o1atXT3IbZcuWddPyDBs2zM1jq6JNWqYpcbStlNDUPe+9956bUkhFoBTYqlqxukFfd911qdrHnDlz2quvvmpDhgxxQfvff/9tM2bMIJgFAAAAAA3N9FF1KMtShWVVbO7cq7/tLVY3zdtbOuaesLQLAAAAQHTEIhs2bLDatWuny3N4cswsAAAAACC6ebKbMVJmcN970+3bEAAAAACIBDKzAAAAAADPIZgFAAAAAHgOwSwAAAAAwHMIZqOApjECAAAAgKyEYBYAAAAA4DkEswAAAAAAzyGYBQAAAAB4DsEsAAAAAMBzCGYBAAAAAJ5DMAsAAAAA8ByCWQAAAACA5xDMAgAAAAA8h2A2CjRp0iTSTQAAAACAsCKYjQLFixePdBMAAAAAIKwIZgEAAAAAnkMwCwAAAADwHILZKLBq1apINwEAAAAAwopgNgocOHAg0k0AAAAAgLAimAUAAAAAeA7BLAAAAADAc3JEugFIf5t3HrCWQ19J0zaWjrknbO0BAAAAgLQiMwsAAAAA8ByCWQAAAACA5xDMAgAAAAA8h2A2HcycOdNiYmJs+/btKXpc8+bNrU6dOunRJAAAAADIUghmo8AfvryRbgIAAAAAhBXBbDro3LmznTx50ipWrGiZAcEsAAAAgKyGqXnSQfbs2d0NAAAAAJA+yMxm0JjZKVOmWO3atS137txWpkwZu//+++3w4cMhH//1119b48aNLW/evFa5cmV74YUX0qOZAAAAAOBZZGYzwIgRI2zkyJHWokUL6927t23evNmmTp1qX331la1evdpy5swZu+6hQ4fs+uuvtw4dOljHjh1t/vz57jG5cuWye+65J8Hn2Ldvn+3fvz9o2datW93PojEn7Uw67h8AAAAAZDSC2XSmAHPcuHHWsmVL++CDDyxbtv8lw2vWrGl9+/a12bNn29133x27/u7du+3ZZ5+1gQMHut979uxpDRs2tCFDhrixuIGBbyBlfhUwh6Jgdm+67B0AAAAARAbdjNPZsmXL7MyZM9a/f//YQFbuu+8+K1iwoC1ZsiRo/Rw5crgA1k8ZWf2uzKu6HyekT58+tmHDhqDbokWL0mmvAAAAACCyyMymsx07drifNWrUCFquILVKlSqx9/tpPG3+/PmDllWvXt391Bjcyy+/POTzlCxZ0t0AAAAAIBqQmQUAAAAAeA7BbDrzzzWrok+B1PV427Zt8eai1ZjZ48ePBy3bsmWL+1mpUqX0bi4AAAAAeALBbDpTBWN1KZ40aZL5fL7Y5S+//LIdOXLE2rRpE7T+33//bdOmTQsKevV7iRIl7NJLL03v5gIAAACAJzBmNp0pCFUlYlUabtWqld14440uS6vqw/Xr17dOnTrFGzP75JNPuvGxGis7b948W79+vb344osJVjIGAAAAgGhDZjaD5pmdPHmy/frrrzZgwAA3d2yPHj1s6dKl8QLUIkWK2Pvvv29r1661Rx55xH777Tf3WFU/BgAAAAD8D5nZdHD27Nn/Hdwc/3d477//fndLzIoVK2L///nnn4etPSd9vMwAAAAAshYys+lgz549FhMTY0WLFrXMYJevYKSbAAAAAABhRcoujH7//XdbsGCBvfDCC9aoUSPLly+fZQYvPdDeateuHelmAAAAAEDYkJkNox9//NGNc61WrZrNnDkznJsGAAAAAAQgMxtGzZs3txMnTlhmc+DAgUg3AQAAAADCisxsFFi1alWkmwAAAAAAYUUwCwAAAADwHIJZAAAAAIDnEMwCAAAAADyHYBYAAAAA4DkEswAAAAAAzyGYBQAAAAB4DsEsAAAAAMBzCGYBAAAAAJ5DMBsF2rVrF+kmAAAAAEBYEcwCAAAAADyHYBYAAAAA4DkEswAAAAAAzyGYjQKLFi2KdBMAAAAAIKwIZgEAAAAAnkMwCwAAAADwHIJZAAAAAIDn5Ih0A5D+Nu88YC2HvpLoOkvH3MNLAQAAAMAzyMwCAAAAADyHYBYAAAAA4DkEswAAAAAAzyGYTYGZM2daTEyMbd++Pf1eEQAAAABAkghmo8Cuc+dFugkAAAAAEFYEs1HgpOWMdBMAAAAAIKwIZgEAAAAAnkMwm0ZTpkyx2rVrW+7cua1MmTJ2//332+HDh4PWad68udWpU8d++OEHu+qqqyxfvnxWtmxZe+qpp+Jtb8eOHXbjjTda/vz5rWTJkjZgwAD76KOP3FjdFStWpLW5AAAAAJAl5Ih0A7xsxIgRNnLkSGvRooX17t3bNm/ebFOnTrWvvvrKVq9ebTlz/l/33kOHDlmrVq2sffv21qFDB1uwYIENHjzY6tata61bt3brHD9+3K6++mrbs2ePPfjgg1aqVCmbO3euffrpp0m2Zd++fbZ///6gZVu3bnU/y8YctSNWNuz7DwAAAACRQjCbSgocx40bZy1btrQPPvjAsmX7X5K7Zs2a1rdvX5s9e7bdfffdsevv3r3bXnvtNevcubP7vXv37laxYkV7+eWXY4PZadOm2S+//GKLFi2ym266yS3r2bOn1atXL1kZYgXWoeSN+duOpHZHAQAAACAToptxKi1btszOnDlj/fv3jw1k5b777rOCBQvakiVLgtYvUKCAderUKfb3XLlyWYMGDVzw6vfhhx+67sfqZuyXJ08et82k9OnTxzZs2BB0U1AMAAAAAFkRmdlU0thWqVGjRtByBalVqlSJvd+vXLlybtxroCJFith3330XtM2qVavGW69atWpJtkfja3UDAAAAgGhAZjaDZM+ePeRyn8+XUU0AAAAAgCyDYDaVNN5VVPQpkLoeb9u2Lfb+lG7z559/jhfg+gs5AQAAAAD+h2A2lVTBWF2KJ02aFBR8qqDTkSNHrE2bNine5nXXXWe7du2yd999N3bZqVOn7KWXXkptMwEAAAAgS2LMbCqVKFHChgwZ4ioIa8odFW1SllZVhevXrx9U7Cm5VLl48uTJ1rFjRzc1T+nSpW3OnDmuCJTEHUsLAAAAANGKYDaN88wqqFUAOmDAACtatKj16NHDxo4dGzTHbHKp4vHy5cutX79+9txzz7nfu3TpYo0bN7ZbbrklNqgFAAAAgGgX46MCUaY3ceJEFyzv3LnTTd2TXBs3brQ6depYm55D7EzxxCsiLx1zTxhaCgAAAAAWG4toytDatWunyyFhzGwmc/LkyaDfNWZ22rRpdsEFF6QokA30hy9vmFoHAAAAAJkD3Ywzmfbt21uFChXs4osvdoWkZs+ebZs2bXJjZ1PrpQfap9u3IQAAAAAQCQSzmYwqGk+fPt0Fr2fPnrVatWrZG2+8YbfffnukmwYAAAAAmQbBbCbTv39/dwsnZXbJzAIAAADIShgzGwUUzAIAAABAVkIwCwAAAADwHIJZAAAAAIDnEMwCAAAAADyHYBYAAAAA4DkEswAAAAAAzyGYBQAAAAB4DsEsAAAAAMBzCGajQPHixSPdBAAAAAAIK4LZKNCkSZNINwEAAAAAwopgFgAAAADgOQSzAAAAAADPIZiNAgcOHIh0EwAAAAAgrAhmo8CqVasi3QQAAAAACCuCWQAAAACA5xDMAgAAAAA8h2AWAAAAAOA5OSLdAKS/zTsPWMuhryR4/9Ix9/AyAAAAAPAUMrMAAAAAAM8hmAUAAAAAeA7BLAAAAADAcwhmAQAAAACek6WD2ZkzZ1pMTIytXbs2bNvavn27ec3Wc0Uj3QQAAAAACKssHcwCAAAAALImglkAAAAAgOd4Lpg9d+6cnTp1KtLNAAAAAAB4MZgdMWKEG0O6ZcsW69SpkxUqVMhKlChhw4YNM5/PZ7/99pvddNNNVrBgQStVqpQ9++yzQY8/ffq0DR8+3KpVq2a5c+e28uXL26BBg9zyQHqOvn372pw5c6x27dpu3Q8//NDdt2vXLuvevbuVKVPGLa9cubL17t3bzpw5E++5Bg4c6NqXP39+u/nmm23//v0WDlOmTIltl9px//332+HDh4PWad68udWpU8d++OEHu+qqqyxfvnxWtmxZe+qpp+Jtb8eOHXbjjTe6dpYsWdIGDBhgH330kTsOK1asSLAd+/bts40bNwbdtm7d6u6rlu2PsOwrAAAAAGQWOdK6gdtvv90uvPBCe+KJJ2zJkiU2ZswYK1q0qE2bNs2uvvpqe/LJJ10g+vDDD1v9+vWtadOmLruqgG3VqlXWo0cP9/jvv//eJkyY4ILjRYsWBT3H8uXLbf78+S6oLV68uFWqVMl2795tDRo0cIGjtlGzZk0X3C5YsMBOnDhhuXLlin18v379rEiRIi54VgGniRMnum3NmzcvTfuugH7kyJHWokULF0Rv3rzZpk6dal999ZWtXr3acubMGbvuoUOHrFWrVta+fXvr0KGDa+fgwYOtbt261rp1a7fO8ePH3THbs2ePPfjgg+5LgLlz59qnn36arKBabQEAAACAaJDmYFYBpQJXUVCpQPOhhx6ycePGuWBNOnbs6LKWr7zyigtmFaAtW7bMVq5caU2aNIndlrKXvXr1ss8//9waN24cu1xBooLdWrVqxS7r2rWr7d2719asWWOXXXZZ7PJRo0a5zHCgYsWK2dKlS112UxRMT5o0yY4cOeIyyqmhzK72sWXLlvbBBx9Ytmz/S3IrqFagPHv2bLv77rtj11fw/dprr1nnzp3d78ooV6xY0V5++eXYYFbH8ZdffnHBvLLa0rNnT6tXr16S7enTp4/ddtttQcuUmW3Xrl2q9g8AAAAAsvSY2XvvvTf2/9mzZ3eBpYJJBWt+hQsXtho1arhATd58802XjVXgd+DAgdibspISNxPZrFmzoEBWwagCvrZt2wYFsn7+oNVPQXbgsiuvvNLOnj3ruvSmloJxdWfu379/bCAr9913n+tarSx1oAIFCrju2H7KHOuLAP8xEXWfVvdjZa398uTJ47aZFHVJVnfnwJu6cAMAAABAVpTmzGyFChWCflemUwGYugPHXX7w4EH3/59++sl+/PFHN4Y1ofGfgTQWNm5W9OjRoy6Tm5o2qsuxv+tvavkDYQXpgRSkVqlSJV6gXK5cuXhBttrx3XffBW2zatWq8dYjKAUAAACAMAezysYmZ5n4u/8qs6qxouPHjw+5nopBBcqbN2/Y2xjYnoyQGdoAAAAAAFlFmoPZ1FD28dtvv7VrrrkmXhYyOZTRVVfeDRs2WKRovKt/PK8ysX7qerxt2zZXFCo121TFYwW4gcfFX5UYAAAAABDBeWZVzVeVh1966aV49508edJV9U2MxqiqsNHixYtt7dq1Ecl2KlhVl2IVkgp8PhV0UmGpNm3apHib1113nTsu7777buwyzakb6jgBAAAAQDSLSGZWFX011Y4qF6vY0xVXXOEKMm3atMkt17yqoQo7BRo7dqyrUKziUP7pfTSljYpLacofFZ1KT8oODxkyxE2Hoyl3VLRJWVpNkaMpiAKLPSWXKhdPnjzZVX/W1DylS5d20xppDLKkJosNAAAAAFlRRIJZZVZVjVjzymq6moULF1q+fPlcd10FcdWrV09yG6r6q2l5hg0b5gI+FYTSMk1zo21lBM0zq6BWAeiAAQPc/LoKrBVoB84xm1yqeKw5dTUv7nPPPed+79Kli5um6JZbbokNalNq17nzLPSIXQAAAADwphgfFYgyvYkTJ7pgeefOnS5gT66NGze6is+NeoyyAiUSftzSMfeEqaUAAAAAYLGxiOocadrQLDNmFgnTmOFAGjM7bdo0u+CCC1IUyAIAAABAVhaRbsaZybFjx9wtMepKnNDUOuHWvn17Ny/uxRdf7ApJzZ49240lVlfq1Hrpgfbp9m0IAAAAAERC1AezzzzzjCvilBhNtVOpUqUMeUFU0Xj69OkueFVRrFq1atkbb7xht99+e6q3qYJYBLMAAAAAspKoD2ZVYKlJkyaJHqRSpUpl2AvSv39/dwunAwcOhHV7AAAAABBpUR/MqoKybgAAAAAA76AAFAAAAADAcwhmAQAAAACeQzALAAAAAPAcglkAAAAAgOcQzAIAAAAAPCfqqxlnZadPn3Y/f//9d9u4cWOkmwMAAAAgSmzdujUoJkkPBLNZ2Pfff+9+Pv/88+4GAAAAABkdk1xyySXpsm2C2SysevXq7uf8+fOtVq1akW4OovQbuXbt2tmiRYusWrVqkW4OogznHyKNcxCcf4hmP/zwg3Xo0CE2JkkPBLNZWMGCBd1PBbK1a9eOdHMQxRTIcg6C8w/RimsgOP8QzQr+/5gkPVAACgAAAADgOQSzAAAAAADPIZgFAAAAAHgOwWwWVqJECRs+fLj7CXAOItpwDUSkcQ6C8w/RrEQGxCIxPp/Pl25bBwAAAAAgHZCZBQAAAAB4DsEsAAAAAMBzCGYBAAAAAJ5DMAsAAAAA8ByCWQAAAACA5xDMetDp06dt8ODBVqZMGcubN681bNjQPv744yQfN2LECIuJiYl3y5MnT4a0G1lHas9Bv3nz5lmjRo0sf/78VrhwYWvcuLEtX748XduMrCO151+lSpVCXgN1u+CCCzKk7cga0nINXLZsmV111VVWvHhxd/1r0KCBzZo1K93bjKwjLeffG2+8YZdccon77KfpUrp3724HDhxI9zYjazl27JibcqdVq1ZWtGhR93d05syZyX784cOHrUePHu4c1GdBXRPXrVuXqrbkSNWjEFHdunWzBQsWWP/+/d0HMJ08119/vX366afWpEmTJB8/depUK1CgQOzv2bNnT+cWI6tJyzmoL1VGjRplt956q9vOX3/9ZRs2bLBdu3ZlWPsRneffxIkT3R/gQDt27LChQ4day5YtM6DliPZz8N1337V27dq5L/P8XzDPnz/funTp4gKKAQMGZOh+ILrOP33+69Onj11zzTU2fvx427lzpz333HO2du1aW7NmDckNJJuuV/osV6FCBfvHP/5hK1asSPZjz507Z23atLFvv/3WHnnkEffF3pQpU6x58+b29ddfp/zLZc0zC+9Ys2aN5gX2Pf3007HLTp486atataqvUaNGiT52+PDh7rH79+/PgJYiq0rLOfjFF1/4YmJifOPHj8+AliIrSsv5F8ro0aPd9lavXh3mliKrSss5eO211/rKlCnjO3XqVOyyv/76yz32oosuStd2I7rPv9OnT/sKFy7sa9q0qe/cuXOxyxcvXuy2N2nSpHRvO7KOU6dO+fbs2eP+/9VXX7lzaMaMGcl67Lx589z6b775Zuyyffv2ufOzY8eOKW4L3Yw9Rt/EKZOq1Lyfuoqom8gXX3xhv/32W5Lb8Pl8dvToUfcTyMhzUJmxUqVK2YMPPujOv7hZMiA9z79Q5s6da5UrV3Zd3YH0Pgf1t7dIkSKWO3fu2GU5cuRwmQl1FwXS6/xTDyh17bz99ttdjwC/G264wfXWU/djILl0DdPnudSew+eff761b98+dpm6G3fo0MHeeecd140+JQhmPeabb76x6tWrW8GCBYOWa8yNrF+/PsltVKlSxQoVKmTnnXeederUyX7//fd0ay+ynrScg5988onVr1/fJk2a5C5cOgdLly5tkydPTvd2I2sIxzUwcFs//vij3XnnnWFvJ7KutJyD6ka3ceNGGzZsmG3dutV+/vlnGz16tOvmOWjQoHRvO6L3/PMHCKG+NNEybVfdP4H0pnNN47azZcsW7xw+ceKEbdmyJUXbY8ysx+zZs8d9+I/Lv2z37t0JPlbfBvft29eN1dE3Kp999pn9+9//ti+//NL9IY17YQTCeQ4eOnTIjbFYvXq1K/akwgEaazFjxgzr16+f5cyZ03r27MlBR7pdA+OaM2eO+3nXXXdx1JEh56CC2G3bttm//vUvGzNmjFuWL18+e+utt+ymm27iVUC6nX8ah6iMrP4G33333bHLN2/ebPv374/9O12sWDFeBaT7Ody0adNEz+G6desme3sEsx5z8uTJoO5Jfv6KxLo/IeraGeiWW25x34Log5wGXj/66KPp0GJkNak9B/1dig8ePOi6M6mrk6gQlC5a+mBHMIv0Ov/iUgZC52G9evXswgsv5MAjQ85BPU5ZNV331MXu7Nmz9uKLL7peUqpGe/nll/NKIF3OP3VlVzfOV1991V3zbr75Zld40f9lsooxJvf6CWSGv+N+dDP2GHUFCdWX/NSpU7H3p4S616nPu6YKANLzHPQv1x9NfZDzUzcTBbaqqvjrr7/yIiBdzr+4Vq5c6T7IkZVFRp6D6h21ePFi90XKHXfc4c4//f1VRiLuF85AuM+/adOmuarHDz/8sFWtWtVlx/Rlctu2bd39gTNdAF6JZQhmPUZ/8JSej8u/THOOpVT58uXtjz/+CEv7kPWl9hzUPGT61k1dmOJOB1WyZMnYLk5Aepx/oboY64uUjh07csCRIefgmTNn7OWXX3ZTUgSOFdMXfK1bt3bDfbQOkB7nn6heigrsaEoyfaG3fft2N8exHqs6Fpr3GPBaLEMw6zEXX3yxGxitioiBND+Y//6UUEVZXcx0EQPS8xzUhzfdp7E5cT+w+cf4cB4ivc6/QPpGWGMUVYwnNV8AIrql9hzUEIu///7bdS2OS1081fU91H1AOM6/QKpXoaxsxYoVXYVjze3ZokULDjQyhM7RdevWxSs4pnNYNQQ0FCMlCGY9Rt0z/WNsAj+YqYhOw4YNXZZV1F1z06ZNQY/1D/CPO4G2lrdq1SoDWo9oPwfVnViP1ZidwG4lypLVqlWLwALpev75vf/+++4DHF2MkZHnoHqgKPO1cOHCoC/0VE9AXY9r1qzJ9DxIt/MvIUOGDHFfsgwYMICjj7BTtlXnob6wCzyHNZPK22+/HbtMBULffPNN1+U91HjaRKV4ZlpE3G233ebLkSOH75FHHvFNmzbN17hxY/f7ypUrY9dp1qyZm5A4UN68eX3dunXzPfvss75///vfbmLimJgY38UXX+w7fvx4BPYE0XYOnjhxwle7dm1fzpw5fQ8//LCbpL1+/fq+7Nmz+95///0I7Ami6fzzu+WWW3y5c+f2HT58OANbjawktefgmDFj3LJ69er5JkyY4HvmmWd8F154oVs2e/bsCOwJoun8GzdunO+uu+5yf3unTJnia9mypVtH5yWQUs8//7xv9OjRvt69e7vzqH379u533fx/X7t27eru27ZtW+zj/v77b9/ll1/uK1CggG/kyJEuJtFnw/POO8+3adOmFLeDYNaDTp486QKBUqVKuQ9kCgY+/PDDoHVCXcTuvfdeX61atdzJomCiWrVqvsGDB/uOHj2awXuAaD0H5ffff3cXt6JFi7rHNmzYMN5jgfQ6/44cOeLLkyeP+6MLROIcnDNnjq9Bgwa+woULuy+ZdQ1csGABLwbS/fx777333Lmnz4H58uVzAcX8+fM58kiVihUrunMs1M0fvIYKZuWPP/7wde/e3VesWDF3Lup8/eqrr1LVjhj9E850MgAAAAAA6Y0xswAAAAAAzyGYBQAAAAB4DsEsAAAAAMBzCGYBAAAAAJ5DMAsAAAAA8ByCWQAAAACA5xDMAgAAAAA8h2AWAAAAAOA5BLMAAAAAAM8hmAUAAAAAeA7BLAAASJNKlSpZt27dOIoAgAxFMAsAQIRNmTLFYmJirGHDhiHv3759u7v/mWeeCXm/lut+rRfXwoULrXXr1la8eHHLlSuXlSlTxjp06GDLly8P+34AAJCRCGYBAIiwOXPmuOzml19+aVu3bg3LNn0+n919993Wvn17+/33323gwIH2wgsv2P3332+//PKLXXPNNfb555+H5bkAAIiEHBF5VgAA4Gzbts0FlW+//bb17NnTBbbDhw9P89F59tlnbebMmda/f38bP368y9z6PfbYYzZr1izLkYOPAQAA7yIzCwBABCl4LVKkiLVp08ZuvfVW93tanTx50saNG2c1a9aM7YIcV+fOna1BgwaJbkePbdy4sRUrVszy5s1rl156qS1YsCBZbVD297bbbrOiRYtavnz57PLLL7clS5YErbNixQrXtvnz59u//vUvK1eunOXJk8dljUNlqNesWWOtWrWyQoUKuW02a9bMVq9enaz2AACyHoJZAAAiSMGrugJrPGvHjh3tp59+sq+++ipN21y1apX98ccfduedd1r27NlTvZ3nnnvO6tWrZ6NGjbKxY8e6TK4C1LhBaVzq1qwg+KOPPrI+ffq4QPXUqVN24403ujG8cT3xxBNu+cMPP2xDhgyx//73v3bXXXcFraMxvk2bNrWjR4+6zLXac/jwYbv66qtd92wAQPShfxEAABHy9ddf26ZNm+z55593vzdp0sRlJxXg1q9fP9Xb/fHHH93PunXrpql9W7ZscRlZv759+9oll1ziui0rk5wQBacKaD/77DO3T3LffffZRRdd5Mbu3nTTTZYt2/99n65Ad/369S6gF2WqH3zwQduwYYPVqVPHjf/t1auXXXXVVfbBBx/EZprVLbt27do2dOhQW7p0aZr2FQDgPWRmAQCIEAWt559/vgvSREHa7bffbm+88YadPXs21dtV9lLOO++8NLUvMJA9dOiQHTlyxK688kpbt25doo97//33XRdmfyArBQoUsB49eriKyz/88EPQ+ipU5Q9kRc/h76osCnSVsVam+eDBg3bgwAF3O378uOuS/J///MfOnTuXpn0FAHgPmVkAACJAwaqCVgWyKgLlp+l5VLzpk08+sZYtW6Zom/6MZcGCBd3PP//8M01tfO+992zMmDEumDx9+nS850nIjh07Qk4zdOGFF8ber4yrX4UKFYLWU2bWH0CLAlnp2rVrgs+pQNv/OABAdCCYBQAgAjQGdM+ePS6g1S1U1tYfzKookr+wUygnTpwIWk+Fn+T777+3du3apap96iKsMa4ap6p5cEuXLm05c+a0GTNm2Ny5cy2cEhrXq+7F4s+6Pv3003bxxReHXFeZXwBAdCGYBQAgAhSslixZ0v7973/Hu0/T9KggkuaFVVffEiVKuOq9mzdvDrktLdf9xYsXd7+re6+ylK+//rr985//TFURqLfeessFxyrilDt37tjlCmaTUrFixZBt1fhg//0pUbVq1diMc4sWLVL0WABA1sWYWQAAMpgyrApYb7jhBjcdT9ybCi2pi/C7777r1lcwqizt4sWL7ddffw3aln7Xct3vD1oV2A4ePNgVgtJPf4Yz0OzZsxOtAqxtqTtx4NhdjXddtGhRkvt3/fXXu21/8cUXscs0vvXFF1+0SpUqWa1atSwlNCWQAlpNFXTs2LF49+/fvz9F2wMAZA1kZgEAyGAKUhWsqhtvKJqTVdlYZW9VEEo0FY2Wq5qwCikpKFRwqQBRQafuD/TII4/Yxo0b3fjbTz/91AXJpUqVsr1797qAVMHm559/nmAbVa1YVYs1r6sKL+3bt89lkatVq2bfffddovv36KOPuqxw69at7YEHHnBzzb766qtubLAyvoGVjJND60+fPt1tT9WLVTCqbNmytmvXLrdvytgqoAcARBeCWQAAMpiCVHXhvfbaaxMM3hRMaj1V7y1WrJgrnrRmzRobMWKEvfzyy24eWQWJ2obmXfWPkw3cxmuvveamwVHAq6ymqhwrSNY42KeeesoaNWqUYBs1f6ueR9Ps9O/f3ypXrmxPPvmkC6CTCmZVoVmBsrLCmnZIU+9oWh4FnIlN6ZOY5s2bu0zv6NGjbfLkyS5Dq+BchaY0RQ8AIPrE+EL1PQIAAAAAIBNjzCwAAAAAwHMIZgEAAAAAnkMwCwAAAADwHIJZAAAAAIDnEMwCAAAAADyHYBYAAAAA4DkEswAAAAAAzyGYBQAAAAB4DsEsAAAAAMBzCGYBAAAAAJ5DMAsAAAAA8ByCWQAAAACA5xDMAgAAAAA8h2AWAAAAAGBe8/8ABfK+f5mwx/0AAAAASUVORK5CYII=",
      "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": "2c76fc41",
   "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": "3ff708a7",
   "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>0.948632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>de-duplicated (0% rows removed)</td>\n",
       "      <td>0.948632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>shortcut feature dropped (amt)</td>\n",
       "      <td>0.574302</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           setting  held_out_auc\n",
       "0                 headline (as-is)      0.948632\n",
       "1  de-duplicated (0% rows removed)      0.948632\n",
       "2   shortcut feature dropped (amt)      0.574302"
      ]
     },
     "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": "894fe848",
   "metadata": {},
   "source": [
    "## 12. Reproducibility & robustness"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "24bfaf81",
   "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 = 0.9261 +/- 0.0221  (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": "751eecfc",
   "metadata": {},
   "source": [
    "## 13. Scientific conclusion\n",
    "\n",
    "Fraud is a small minority, so the honest signal is per-merchant-category recall and PR-AUC, not accuracy.\n",
    "\n",
    "**Validity ledger \u2014 read the headline against these printed numbers:** Majority-class baseline **accuracy**: **0.9948**. 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 **0.9261**). Strongest *single* feature: `amt` at AUC **0.8494**. The ablation settles it, and it settles it against that feature. Dropping it collapses the held-out AUC: **0.948632 \u2192 0.574302**. So this is a genuine single-feature shortcut. Do not read the headline as broad detection capability. De-duplication changed nothing. There are no exact duplicates to remove. The 0.000000 difference is re-split noise, not a de-duplication effect. Data-trust grade: **A**. It is the worse of two independent sub-checks. Single-feature AUC 0.8494 scores **A**. Train/test exact-row overlap 0.000 scores **A**. Neither check flags a problem, so nothing here explains the score away. **The grade understates the problem here.** It is only a threshold on the single-feature AUC. The drop-the-feature ablation above is the stronger test, and it disagrees. Trust the ablation, not the letter grade. Operational false-positive rate at threshold 0.5: **0.0010**. Worst per-group recalls, exactly as printed: {`gas_transport`: 0.0, `home`: 0.0, `personal_care`: 0.0, `food_dining`: 0.0, `kids_pets`: 0.0, `grocery_net`: 0.0}. The weakest group sits at **0.000**, 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": "ac1ac230",
   "metadata": {},
   "source": [
    "## References\n",
    "\n",
    "1. Harris, B. *Sparkov Data Generation* (software). GitHub: `namebrandon/Sparkov_Data_Generation`; distributed on Kaggle as `kartik2112/fraud-detection`. Not a peer-reviewed publication.\n",
    "2. Dal Pozzolo, A. et al. (2015). Calibrating probability with undersampling. *IEEE SSCI*.\n",
    "3. Bahnsen, A.C. et al. (2016). Feature engineering strategies for credit card fraud detection. *Expert Systems with Applications*."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "seas8414-phase-notebooks",
   "language": "python",
   "name": "seas8414-phase-notebooks"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}