{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "8d73958f",
   "metadata": {},
   "source": [
    "# End-to-End XGBoost Credit Model\n",
    "\n",
    "Companion notebook to [Module 10 — Modern Data Science in Credit](https://rodoslay.com/credit-models/10-modern-data-science-in-credit) at **rodoslay.com**.\n",
    "\n",
    "The full pipeline, honestly evaluated: a synthetic bureau-style dataset with real structure\n",
    "(non-linearities, an interaction, a proxy variable), a **scorecard baseline**, XGBoost **with and\n",
    "without monotonic constraints**, out-of-time evaluation, **isotonic calibration**, **TreeSHAP**\n",
    "explanations down to adverse-action reason codes, and a closing **disparate-impact** test.\n",
    "\n",
    "Dependencies: `numpy`, `pandas`, `scikit-learn`, `xgboost`, `shap`, `matplotlib`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "51cf5808",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-14T02:06:10.750587Z",
     "iopub.status.busy": "2026-07-14T02:06:10.750404Z",
     "iopub.status.idle": "2026-07-14T02:06:12.897367Z",
     "shell.execute_reply": "2026-07-14T02:06:12.896678Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.11/dist-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import xgboost as xgb\n",
    "import shap\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.isotonic import IsotonicRegression\n",
    "from sklearn.metrics import roc_auc_score\n",
    "\n",
    "rng = np.random.default_rng(7)\n",
    "plt.rcParams[\"figure.figsize\"] = (10, 4.5)\n",
    "plt.rcParams[\"axes.grid\"] = True\n",
    "plt.rcParams[\"grid.alpha\"] = 0.3"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9ed2e326",
   "metadata": {},
   "source": [
    "## 1. A synthetic bureau dataset with real structure\n",
    "\n",
    "30,000 loans across 24 monthly vintages. The true default process contains a non-linearity\n",
    "(utilization hurts convexly), an **interaction** (thin files with high utilization are extra risky —\n",
    "invisible to an additive model), mild **concept drift** across vintages, and a `region` field that\n",
    "partially proxies an unobserved group label (for the fair-lending test at the end)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "fe8a6b5d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-14T02:06:12.899747Z",
     "iopub.status.busy": "2026-07-14T02:06:12.899336Z",
     "iopub.status.idle": "2026-07-14T02:06:12.925939Z",
     "shell.execute_reply": "2026-07-14T02:06:12.924924Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "default rate: 3.21%   train n = 22,426   OOT n = 7,574\n",
      "default rate by group — A: 2.51%   B: 4.84%\n"
     ]
    }
   ],
   "source": [
    "N = 30_000\n",
    "vintage = rng.integers(0, 24, N)                              # month 0..23\n",
    "group = rng.random(N) < 0.30                                  # unobserved protected-class label\n",
    "\n",
    "# an UNOBSERVED risk driver (think income volatility) that correlates with group membership —\n",
    "# this is what makes 'region' a proxy: region correlates with group, group with volatility.\n",
    "volatility = 0.9 * group + rng.normal(0, 0.7, N)\n",
    "\n",
    "util = np.clip(rng.beta(2, 3, N) + 0.06 * group, 0, 1.2)\n",
    "hist_years = rng.gamma(3, 2.2, N)\n",
    "dti = np.clip(rng.normal(0.30, 0.12, N), 0, 0.8)\n",
    "inquiries = rng.poisson(1.2, N)\n",
    "income = rng.lognormal(10.5, 0.5, N)\n",
    "region = np.where(group, rng.integers(0, 8, N), rng.integers(4, 20, N))   # region proxies group\n",
    "\n",
    "thin = (hist_years < 2).astype(float)\n",
    "drift = 0.05 * (vintage - 12) / 12                            # mild concept drift\n",
    "logit = (-3.9 + 5.0 * np.maximum(util - 0.3, 0) ** 1.5        # convex utilization effect\n",
    "         + 3.2 * (dti - 0.3) + 0.30 * inquiries\n",
    "         - 0.55 * np.log1p(hist_years)\n",
    "         + 1.4 * thin * (util > 0.6)                          # the interaction\n",
    "         - 0.45 * (np.log(income) - 10.5)\n",
    "         + 0.65 * volatility + drift)                         # unobserved driver — region's proxy target\n",
    "y = (rng.random(N) < 1 / (1 + np.exp(-logit))).astype(int)\n",
    "\n",
    "df = pd.DataFrame({\"vintage\": vintage, \"util\": util, \"hist_years\": hist_years, \"dti\": dti,\n",
    "                   \"inquiries\": inquiries, \"log_income\": np.log(income), \"region\": region, \"y\": y})\n",
    "FEATURES = [\"util\", \"hist_years\", \"dti\", \"inquiries\", \"log_income\", \"region\"]\n",
    "oot = df[\"vintage\"] >= 18                                     # last 6 months = out-of-time\n",
    "print(f\"default rate: {y.mean():.2%}   train n = {(~oot).sum():,}   OOT n = {oot.sum():,}\")\n",
    "print(f\"default rate by group — A: {y[~group].mean():.2%}   B: {y[group].mean():.2%}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "356fd886",
   "metadata": {},
   "source": [
    "## 2. The scorecard baseline\n",
    "\n",
    "Logistic regression on WOE-binned features — [credit Module 2's](https://rodoslay.com/credit-models/02-retail-credit-scoring)\n",
    "construction, mechanized. This is the incumbent every challenger must beat *out-of-time*."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b6525bf3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-14T02:06:12.928040Z",
     "iopub.status.busy": "2026-07-14T02:06:12.927819Z",
     "iopub.status.idle": "2026-07-14T02:06:12.990823Z",
     "shell.execute_reply": "2026-07-14T02:06:12.990188Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "scorecard OOT AUC: 0.7505   (Gini 0.501)\n"
     ]
    }
   ],
   "source": [
    "def woe_encode(x_train, y_train, x_all, n_bins=6, smooth=20):\n",
    "    edges = np.unique(np.quantile(x_train, np.linspace(0, 1, n_bins + 1)))\n",
    "    if len(edges) < 3:\n",
    "        edges = np.array([-np.inf, np.inf])\n",
    "    else:\n",
    "        edges[0], edges[-1] = -np.inf, np.inf\n",
    "    bins_tr = np.digitize(x_train, edges[1:-1])\n",
    "    prior = (y_train == 0).sum() / max((y_train == 1).sum(), 1)\n",
    "    woe = np.zeros(len(edges) - 1)\n",
    "    for b in range(len(edges) - 1):\n",
    "        m = bins_tr == b\n",
    "        g, bd = (y_train[m] == 0).sum(), (y_train[m] == 1).sum()\n",
    "        woe[b] = np.log(((g + smooth) / (bd + smooth / prior)) / prior)\n",
    "    return woe[np.digitize(x_all, edges[1:-1])]\n",
    "\n",
    "Xtr_raw = df.loc[~oot, FEATURES]; ytr = df.loc[~oot, \"y\"].values\n",
    "Xall_woe = np.column_stack([woe_encode(Xtr_raw[c].values, ytr, df[c].values) for c in FEATURES])\n",
    "scorecard = LogisticRegression(max_iter=2000).fit(Xall_woe[~oot], ytr)\n",
    "p_card = scorecard.predict_proba(Xall_woe)[:, 1]\n",
    "auc_card = roc_auc_score(df.loc[oot, \"y\"], p_card[oot])\n",
    "print(f\"scorecard OOT AUC: {auc_card:.4f}   (Gini {2*auc_card-1:.3f})\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9881989c",
   "metadata": {},
   "source": [
    "## 3. XGBoost — with and without monotonic constraints\n",
    "\n",
    "Constraints encode domain knowledge: higher utilization, DTI, inquiries ⇒ never lower risk;\n",
    "longer history, higher income ⇒ never higher risk. Region is left unconstrained (and watch it)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "120c03eb",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-14T02:06:12.993889Z",
     "iopub.status.busy": "2026-07-14T02:06:12.993141Z",
     "iopub.status.idle": "2026-07-14T02:06:13.648725Z",
     "shell.execute_reply": "2026-07-14T02:06:13.647410Z"
    }
   },
   "outputs": [
    {
     "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>OOT AUC</th>\n",
       "      <th>OOT Gini</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>scorecard (WOE + logistic)</td>\n",
       "      <td>0.7505</td>\n",
       "      <td>0.5009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>XGBoost unconstrained</td>\n",
       "      <td>0.7347</td>\n",
       "      <td>0.4693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>XGBoost monotonic</td>\n",
       "      <td>0.7662</td>\n",
       "      <td>0.5324</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        model  OOT AUC  OOT Gini\n",
       "0  scorecard (WOE + logistic)   0.7505    0.5009\n",
       "1       XGBoost unconstrained   0.7347    0.4693\n",
       "2           XGBoost monotonic   0.7662    0.5324"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "params = dict(n_estimators=300, max_depth=4, learning_rate=0.06, subsample=0.8,\n",
    "              colsample_bytree=0.8, eval_metric=\"auc\", random_state=7)\n",
    "mono = {\"util\": 1, \"hist_years\": -1, \"dti\": 1, \"inquiries\": 1, \"log_income\": -1, \"region\": 0}\n",
    "\n",
    "Xtr, Xoot = df.loc[~oot, FEATURES], df.loc[oot, FEATURES]\n",
    "yoot = df.loc[oot, \"y\"].values\n",
    "\n",
    "bst_free = xgb.XGBClassifier(**params).fit(Xtr, ytr)\n",
    "bst_mono = xgb.XGBClassifier(**params,\n",
    "    monotone_constraints=tuple(mono[c] for c in FEATURES)).fit(Xtr, ytr)\n",
    "\n",
    "p_free = bst_free.predict_proba(Xoot)[:, 1]\n",
    "p_mono = bst_mono.predict_proba(Xoot)[:, 1]\n",
    "res = pd.DataFrame({\n",
    "    \"model\": [\"scorecard (WOE + logistic)\", \"XGBoost unconstrained\", \"XGBoost monotonic\"],\n",
    "    \"OOT AUC\": [auc_card, roc_auc_score(yoot, p_free), roc_auc_score(yoot, p_mono)],\n",
    "})\n",
    "res[\"OOT Gini\"] = 2 * res[\"OOT AUC\"] - 1\n",
    "res.round(4)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7e1fed46",
   "metadata": {},
   "source": [
    "Look carefully at the ordering — it's more instructive than the marketing version. The\n",
    "**unconstrained** XGBoost actually *loses* to the scorecard out-of-time: freed to fit any shape, it\n",
    "memorized training-period wiggles that didn't survive the regime drift. The **monotonic** version\n",
    "wins — it found the thin-file × utilization interaction the additive scorecard cannot represent,\n",
    "while the constraints stopped it from learning noise. Monotonic constraints aren't a compliance\n",
    "tax; on drifting data they are *regularization with an economic justification*. (Re-run with other\n",
    "seeds: the constrained model beats the unconstrained one far more often than not.)\n",
    "\n",
    "## 4. Calibration — before the PDs go anywhere near pricing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "995c2e70",
   "metadata": {
    "execution": {
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     "iopub.status.idle": "2026-07-14T02:06:13.878606Z",
     "shell.execute_reply": "2026-07-14T02:06:13.876589Z"
    }
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   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "p_oot_raw = bst_mono.predict_proba(Xoot)[:, 1]\n",
    "# isotonic fitted on a slice of train-period holdout (never OOT)\n",
    "holdout = (~oot) & (df[\"vintage\"] >= 15)\n",
    "p_hold = bst_mono.predict_proba(df.loc[holdout, FEATURES])[:, 1]\n",
    "iso = IsotonicRegression(out_of_bounds=\"clip\").fit(p_hold, df.loc[holdout, \"y\"])\n",
    "p_oot_cal = iso.predict(p_oot_raw)\n",
    "\n",
    "def reliability(p, y, bins=10):\n",
    "    q = np.quantile(p, np.linspace(0, 1, bins + 1))\n",
    "    q[0], q[-1] = 0, 1\n",
    "    idx = np.digitize(p, q[1:-1])\n",
    "    return np.array([[p[idx == b].mean(), y[idx == b].mean()] for b in range(bins) if (idx == b).any()])\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(6, 5))\n",
    "for probs, label, color in [(p_oot_raw, \"raw\", \"#b3541e\"), (p_oot_cal, \"isotonic-calibrated\", \"#1f4d3a\")]:\n",
    "    r = reliability(probs, yoot)\n",
    "    ax.plot(r[:, 0], r[:, 1], \"o-\", label=label, color=color)\n",
    "ax.plot([0, 0.4], [0, 0.4], \"k--\", lw=0.8)\n",
    "ax.set_xlabel(\"predicted PD\"); ax.set_ylabel(\"realized default rate\")\n",
    "ax.set_title(\"Reliability, out-of-time\"); ax.legend(); plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "424cc18a",
   "metadata": {},
   "source": [
    "## 5. TreeSHAP: global importance, shapes, and one applicant's waterfall"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "95016ddf",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-14T02:06:13.881067Z",
     "iopub.status.busy": "2026-07-14T02:06:13.880814Z",
     "iopub.status.idle": "2026-07-14T02:06:14.707301Z",
     "shell.execute_reply": "2026-07-14T02:06:14.706410Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x390 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "explainer = shap.TreeExplainer(bst_mono)\n",
    "sv = explainer(Xoot.iloc[:2000])\n",
    "shap.summary_plot(sv, Xoot.iloc[:2000], show=False)\n",
    "plt.title(\"Global feature importance and direction\"); plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "067d122d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-14T02:06:14.709732Z",
     "iopub.status.busy": "2026-07-14T02:06:14.709485Z",
     "iopub.status.idle": "2026-07-14T02:06:14.917713Z",
     "shell.execute_reply": "2026-07-14T02:06:14.916935Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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++iiaprF48WKn8m7dutGoUSPHbU3TmD9/PoMHD0bTNKd+79u3LykpKY7X4++//05YWBi33HKLY38PDw/HaE9x3XvvvU6377//fkf9AL6+vgwdOpTvvvvOkaJht9uZO3euI7XiSho1auT41QZyR/zq169/2de2r68vAEuWLHH5Sf9K7HY7S5cuZdiwYdSpU8dRHhYWxu233866detITU112mfixIku+Y9jxowhOzvbKc1p7ty52Gw2p/dqcezYsYNDhw5x++23k5CQ4HheLRYLvXr1Ys2aNU4/jwNMnjzZ6XaXLl1ISEhwtD0vHWDKlClO2+U9hyXRu3dvpxHCZs2a4ePj4/IcaZpWJsuwXel4JXkvlNSkSZOcPpu6dOmC3W4v9Kf3gn744Qe6dOmCv7+/U5t69+6N3W5nzZo1TtvffPPNTiPckJtrm5fXq6oqiYmJ2Gw2Wrdu7fSY5s+fj6IojrS0S5Xms/VanZOKcuutt7J161aOHDniKJs7dy5ms5mhQ4cWuZ+fnx8Wi4Vly5aV+JgGg4F77rnHcdtkMnHPPfcQFxfH1q1bC90nMTGRFStWMHLkSNLS0hzPcUJCAn379uXQoUOcOXOmxG2pjiS9oQjXKjh66qmnWLFiBYsWLXL5CWjhwoW88MIL7NixwykvsrRty/sArV+/vlO5yWSiTp06Lh+wkZGRLsfy9/fnn3/+uexxDh06hKZpxMbGFnp/aSYFlKTevA+w4qyHWFwpKSlkZmaWal9fX1+nLzCXOnLkCDqdzinQLKikz1vBfcPDw/H29nYqb9iwoVPdeaKjo51ux8fHk5yczKeffupYTq6gvMmIJ06cICYmxuU1U7DdV1Lw+a1bty46nc4pD3DMmDHMnTuXtWvX0rVrV5YvX86FCxcYPXp0sY5Rq1YtlzJ/f39HDl9hoqOjeeSRR3jrrbf45ptv6NKlC0OGDOHOO+90BMRFiY+PJyMjo9C+aNiwIaqqcurUKafUioLPBUCDBg1o06YN33zzDXfffTeQm9rQvn17l5SpKzl06BAAY8eOLXKblJQUp594C/Zb3n1JSUn4+Phw4sQJdDqdS9tL2rbCjpV3vMs9R1fjSscryXvhao99ab9eyaFDh/jnn39cAtmi2lTY6wrgyy+/5M0332T//v3k5OQUuv2RI0cIDw8nICDgiu0qjmt1TirKiBEjeOSRR5g7dy7/+9//0DSNH374wZF3X5QpU6Ywb948+vfvT0REBH369GHkyJH069fviscMDw93+WJer149IDfvun379i77HD58GE3TePrpp3n66acLrTcuLo6IiIgrHr+6q5ZBb96MyqKCmIyMjGsy63LBggW8+uqrPP/88y5vlrVr1zJkyBC6du3Khx9+SFhYGEajkdmzZ/Ptt9+We9uAImfZ5o2uFUVVVRRFYfHixYXW4eXlVar2lFe9xfHggw/y5Zdflmrf2bNnV5oF6QsG53kjfXfeeWeRwVGzZs3KtU2Ffcnr27cvISEhzJkzh65duzJnzhxCQ0Pp3bt3seos7Wv7zTffZNy4cfzyyy8sXbqUBx54wJF7HBkZWaxjF1dRX5TGjBnDgw8+yOnTp8nOzmbjxo28//77Ja4/77l9/fXXi7z4S8H3VGn7rTSu5bGKc7zyfC9czWNVVZUbb7yRxx9/vND78wKqPIW9rubMmcO4ceMYNmwYjz32GMHBwej1el5++WWnUdCKVtavifDwcLp06cK8efP43//+x8aNGzl58qRTjnphgoOD2bFjB0uWLGHx4sUsXryY2bNnM2bMmFKfJy4n77X3n//8p8iJuqX5YlkdVcugN2+NwAMHDlCzZk2n+zIyMjh16pRjAhGUz6jvwYMHGTt2LMOGDeN///ufy/3z58/Hzc2NJUuWOC1zM3v2bJdti9u+Sx/3pT+xWq1Wjh07VuyA4Urq1q2LpmlER0e7fOBei3rzRsx379592cdUkuf18ccfL/HPx3mKmhgFuW1VVZW9e/cWGXhczfMWFRXF8uXLSUtLcxrt3b9/v1PdRQkKCsLb2xu73X7F10dUVBS7d+9G0zSnvi3p+paHDh1yGl06fPgwqqo6zZ7W6/XcfvvtfPHFF7z66qssWLCg0HSA8tC0aVOaNm3KU089xYYNG+jUqRMff/wxL7zwAlD46yooKAgPD49C+2L//v3odDqXz6KijBo1ikceeYTvvvuOzMxMjEYjt956a4kfR977xMfHp8ze+1FRUaiqyrFjx5xG7A8fPuyy7bVONbra45XkvVAeimp/3bp1SU9Pv6o2/fjjj9SpU4effvrJ6TgF0xjq1q3LkiVLSExMvOxo7/V2TrqcW2+9lSlTpnDgwAHmzp2Lh4cHgwcPvuJ+JpOJwYMHM3jwYFRVZcqUKXzyySc8/fTTlw1Az54967IE4cGDBwGKXAkqr2+MRmOFvPaqkmqZ09urVy9MJhMfffSRS87ap59+is1mc5oJmvfiLKtFzdPT0xk+fDgRERGOZV0K0uv1KIqC3W53lB0/frzQBb89PT2L1bbevXtjMpl49913nb4Zz5o1i5SUFJcZ1qV10003odfrmT59uss3cE3TSEhIKNd6b7jhBqKjo5kxY4ZLv1y6X0me10aNGtG7d+9S/YWFhRVZ77Bhw9DpdDz33HMur8W8tl7N8zZgwADsdrvLSODbb7+NoihXnPGs1+u5+eabmT9/Prt373a5/9JllQYMGMDZs2ed8k0zMjKK/Cm4KHlLyeV57733AFzaOnr0aJKSkrjnnntIT08v9ZeS4kpNTcVmszmVNW3aFJ1O55R+VNj7Ua/X06dPH3755RenNI0LFy7w7bff0rlz58v+nHqpwMBA+vfvz5w5c/jmm2/o16+fYzWCkmjVqhV169bljTfeID093eX+S5/b4sobhfrwww+dyvOew0uV1edqcZYsK4vjleS9UB6K+pwfOXIkf/31F0uWLHG5Lzk52eU1W5i8L4uXfr5s2rTJZQm8m2++GU3TCr2oT8HP1uvpnHQ5N998M3q9nu+++44ffviBQYMGXXFeQMFzmE6nc4zyX2mJRpvNxieffOK4bbVa+eSTTwgKCqJVq1aF7hMcHEz37t355JNPOHfunMv95f3aq0qq5UhvcHAwzzzzDE899RRdu3ZlyJAheHh4sGHDBr777jv69Onj9E2vbt26+Pn58fHHH+Pt7Y2npyft2rUrMjfqSqZPn87evXt56qmn+OWXX5zuy1t2aODAgbz11lv069eP22+/nbi4OD744ANiYmJc8pdatWrF8uXLeeuttwgPDyc6Otpl+SPIHamYOnUq06dPp1+/fgwZMoQDBw7w4Ycf0qZNmzILGurWrcsLL7zA1KlTOX78OMOGDcPb25tjx47x888/M2nSJP7zn/+UW706nY6PPvqIwYMH06JFC8aPH09YWBj79+9nz549jpND3gfMAw88QN++fdHr9YwaNapM+qC4YmJiePLJJ3n++efp0qULN910E2azmb///pvw8HBefvnlq3reBg8eTI8ePXjyySc5fvw4zZs3Z+nSpfzyyy889NBDl11KKM8rr7zCypUradeuHRMnTqRRo0YkJiaybds2li9fTmJiIpA7+eT9999nzJgxbN26lbCwML7++ms8PDxK1CfHjh1jyJAh9OvXj7/++os5c+Zw++23u6zN27JlS5o0acIPP/xAw4YNueGGG0p0nJJasWIF9913HyNGjKBevXrYbDa+/vprRzCUp6j34wsvvMCyZcvo3LkzU6ZMwWAw8Mknn5CdnV3itUbHjBnjmDD4/PPPl+rx6HQ6PvvsM/r370/jxo0ZP348ERERnDlzhpUrV+Lj48Nvv/1WojpbtWrFzTffzIwZM0hISHAsWZY3knXpF/y899+TTz7JqFGjMBqNDB48uMQX4SjOkmVldbzivhfKQ6tWrfjoo4944YUXiImJITg4mJ49e/LYY4/x66+/MmjQIMeyexaLhV27dvHjjz9y/PjxK34pGjRoED/99BPDhw9n4MCBHDt2jI8//phGjRo5fSHq0aMHo0eP5t133+XQoUP069cPVVVZu3YtPXr04L777nO0tSLPSXnLABYn7SE4OJgePXrw1ltvkZaWVqxfTSZMmEBiYiI9e/YkMjKSEydO8N5779GiRQvHfImihIeH8+qrr3L8+HHq1avH3Llz2bFjB59++ull57t88MEHdO7cmaZNmzJx4kTq1KnDhQsX+Ouvvzh9+jQ7d+68YrsF1XPJsjxz5szR2rdvr3l6empms1lr0KCBNn36dKclQfL88ssvWqNGjTSDweC0lEhpliwbO3asBhT6d+kyL7NmzdJiY2MdbZs9e7Zj6aBL7d+/X+vatavm7u7uVEdRS6W9//77WoMGDTSj0aiFhIRo//d//+eytFe3bt20xo0bu/RDYY+3KPPnz9c6d+6seXp6ap6enlqDBg20e++9Vztw4IBjm5IsWVaSejVN09atW6fdeOONmre3t+bp6ak1a9bMafkhm82m3X///VpQUJCmKEqFLl/2+eefay1bttTMZrPm7++vdevWTVu2bJnTNsV53gp7ftLS0rSHH35YCw8P14xGoxYbG6u9/vrrTksMaVru6/bee+8ttH0XLlzQ7r33Xq1mzZqa0WjUQkNDtV69emmffvqp03YnTpzQhgwZonl4eGiBgYHagw8+qP3xxx8lWrJs79692i233KJ5e3tr/v7+2n333adlZmYWus9rr72mAdpLL7102bovFRUVpQ0cONClvFu3bk5LQhVccujo0aPaXXfdpdWtW1dzc3PTAgICtB49emjLly93qqeo96Omadq2bdu0vn37al5eXpqHh4fWo0cPbcOGDU77571v//777yIfQ3Z2tubv76/5+voW2TcFFbaEkqblLsV20003aTVq1NDMZrMWFRWljRw5Uvvzzz8d2xT1Pi3sM8ZisWj33nuvFhAQoHl5eWnDhg3TDhw4oAHaK6+84rT/888/r0VERGg6nc6pnqJeiwWX/MrbtjhLlpXV8Yr7XihMUUuWFXyuC3uuzp8/rw0cOFDz9vZ2ecxpaWna1KlTtZiYGM1kMmmBgYFax44dtTfeeMNlGazXX3/dpV2qqmovvfSSFhUVpZnNZq1ly5bawoULC/08sdls2uuvv641aNBAM5lMWlBQkNa/f39t69atjm0q+pzUqlUrLTQ01GXbosycOVMDNG9v70LfTwWP8eOPP2p9+vTRgoODNZPJpNWqVUu75557tHPnzjm2KWrJssaNG2tbtmzROnTooLm5uWlRUVHa+++/73S8wpYs0zRNO3LkiDZmzBgtNDRUMxqNWkREhDZo0CDtxx9/LPZjre4UTSunWQFCCFHO3nnnHR5++GGOHz9e6Oz7qspmsxEeHs7gwYOZNWtWRTfninbs2EHLli2ZM2cOd9xxR0U3R1RhaWlpBAQEMGPGDJflD4Woljm9QojKT9M0Zs2aRbdu3apVwAu5K7/Ex8czZsyYim6Ki8JWxZkxYwY6nY6uXbtWQItEdbJmzRoiIiKYOHFiRTdFXIeqZU6vEKLyslgs/Prrr6xcuZJdu3a55MVXZZs2beKff/7h+eefp2XLlnTr1q2im+TitddeY+vWrfTo0QODweBY0mnSpEnFXqFCiNIaOHDgNZkAJyonSW8QQlQqx48fJzo6Gj8/P6ZMmcKLL75Y0U26ZsaNG8ecOXNo0aIFX3zxRZlegKWsLFu2zDFZNz09nVq1ajF69GiefPJJDAYZZxFCVBwJeoUQQgghRJUnOb1CCCGEEKLKk6BXCCGEEEJUeRL0lgNN00hPTy+3a8QLIYQQQoiSkaC3HFgsFrp3747FYil1Haqqcv78eZdL04ryJf1+7UmfVwzp94oh/V4xqm2/Kze5/lVjEvQKIYQQQogqT9aPEUIIIYSokpSKbsB1RYJeIYQQQogqSYLeS0l6gxBCCCGEqPJkpFcIIYQQokqSkd5LyUivEEIIIYSo8mSkVwghhBCiSpKR3kvJSK8QQgghhKjyJOgVQgghhBBVnqQ3CCGEEEJUSZLecCkJeoUQQgghqiQJei8l6Q1CCCGEEKLKk5FeIYQQQogqSUZ6LyVBrxBCCCFElSRB76UkvUEIIYQQldKZFJVlB20kWLSKboqoBGSkVwghhBCVzqursnlyiRW7Cm4GmHmzG3feYKzoZl1nZKT3UjLSK4QQQohK5Viiyv/+yA14AbJsMGVBFunZMuLrTCnkr/qSoFcIIYQQlcq2M3bUAvFtWjYcvKhWTINEpSDpDUIIIYSoVFpH6tEpOAW+PmaoHyRjeZfSChnZrc5jvRL0FrBu3Tq++uorjh49isViITg4mG7dujFp0iS8vLwqunlCCCHEde9kqsbMf1RSsmFUAx0dI8o21Iry1/H6ADNT/8jGagdPE3x6sxuepuoc0okrkaC3gNTUVBo3bsytt96Kr68vR44c4dNPP+XIkSN88MEHFd08IYQQ4rp2IkWj1Rw7CZm5t9/fbmfuYB0j6pftKOwjXU3ceYOBfXEqLcL0+LpLwCsuT4LeAgYMGOB0u3Xr1phMJl588UXi4+MJCgqqoJYJIYQQ17+Pd6qOgBdAA17epJZ50AsQ7KUj2EtSGoomXwQuJa+UYvD19QUgJyenglsihBBCXN8Ss1zLLg2ChagoEvQWwW63k52dzf79+/nss8/o2rUr4eHhFd0sIYQQ4rp2awPX0cVRhZSJ8qehuPxVZ5LeUITBgwcTFxcHQMeOHXnxxReL3NZqtWK1Wh23LRYLAKqqoqqlWz5FVVU0TSv1/qJ0pN+vPenziiH9XjGqQ793j4Qv+8Frm1WSs+G2BgrTOyoV+pgrqt91uooeW6zeQW5BiqZpspJzIQ4dOkRmZiZHjx5l1qxZRERE8MEHH6DX6122/eSTT5g5c6ZL+bx58/Dw8CjV8VVVJSUlBV9f3+vgTVN9SL9fe9LnFUP6vWJIv1eMiur30NDQa3aswqjKOJcynfbFNW/H9UJGeosQGxsLQLNmzWjUqBG33347K1eupHfv3i7bjh8/njvuuMNx22KxMHDgQAIDA0u9zJmqqiiKQlBQkHwwXkPS79ee9HnFkH6vGNLvFaP69ruM9F5Kgt5iiI2NxWAwcPr06ULvN5lMmEwml3KdTndVby5FUa66DlFy0u/XnvR5xZB+rxjS7xWjOvZ7dc/hLaj6PPNXYffu3dhsNiIiIiq6KUIIIYQQohRkpLeAxx57jIYNGxIbG4vZbObgwYN8/fXXxMbG0r1794punhBCCCFEMclI76Uk6C2gcePGLF26lC+//BJVVQkLC2P48OHceeedGI3Gim6eEEIIIYQoBQl6Cxg3bhzjxo2r6GYIIYQQQlwVWZ7LmQS9QgghhBBVkqQ3XEomsgkhhBBCiCpPRnqFEEIIIaogWbLMmQS9QgghhBBVkgS9l5L0BiGEEEIIUeXJSK8QQgghRBUk6Q3OZKRXCCGEEBUiI0dj2wWN1GxZXKt8KIX8VV8y0iuEEEKIa27BIZXxf6gkZ4OnEWb00DGhmYzFifIjry4hhBBCXFMZORrj/g14ASw5MGW5yrl0GfEtSxqKy191JkGvEEIIIa6pPRchJdu5LEeFzecl6BXlR4JeIYQQQlxTsf7gXiDBUgGaBlbvkUhRviToFUIIIcQ15eem8GZ3Hfp/Y1wFeKaDQh0/CXrLkqQ3OJOJbEIIIYS45v6vhY7BdRU2n9NoFqQQ41+9AzJR/iToFUIIIUSFiPRWiPSWYLf8SN9eSoJeIYQQQogqqLqnMxQkQa8QQgghnGTmaLy6WeXPkxr1AxSebKcjWvJtRSUnQa8QQgghnIxdrPLDwdzlw9ad0Vh8zM7Bu/R4miTwrVzk+bqUrN4ghBBCCIeLGRrzDzmvl3s2HX47KmvoVjayeoMzCXqFEEIIcUXVO1wSVYEEvUIIIYRwCPRQuKWec4gb4QWD60rYKyo3yekVQgghhJMv++toEqix/IRKgwCFqe10eBgl6K1sqns6Q0ES9AohhBDCiZtB4ekOCk93kB+ERdUhr2YhhBBCiCpJKeSvZA4fPszkyZNp0aIFBoOBJk2aON2fmprKtGnTaNu2LX5+foSEhDB48GB27dpVFg+gTEnQK4QQQghRBZXF6g179uxh0aJFxMTE0KhRI5f7T548ySeffEKfPn2YN28eM2fOJCUlhfbt27Nv376yeBhlRtIbhBBCCCFEoQYPHszQoUMBGDduHFu2bHG6Pzo6miNHjuDh4eEo69mzJ1FRUXz44Ye8995717S9lyNBrxBCCCFEFVQWE9l0ussnBXh6erqUeXl5ERMTw9mzZ6/6+GVJ0huEEEIIIUSZSU5OZvfu3TRs2LCim+JERnqFEEIIIaqJ7OxssrOzncrMZjNms7nMjvH444+jKAqTJ08uszrLgoz0CiGEEEJUQYVNZHv55Zfx9fV1+nv55ZfL7JizZ89m5syZfPDBB0RGRpZZvWVBRnqFEEIIIaqJqVOn8sgjjziVldUo7+LFi5k0aRJPP/00Y8eOLZM6y5IEvUIIIYQQVZLrRLayTmXIs3HjRm655RbGjh3Lc889V+b1lwUJeoUQQgghqqBrdRnivXv3MnDgQHr27MnHH398TY5ZGhL0CiGEEMLJP3Eaj62080+8RqcIhbd66anlc20CKHF9ycjI4PfffwfgxIkTpKam8uOPPwLQrVs3NE2jb9++uLu78/DDDzut4+vj41PoBS0qigS9QgghhHDIyNG4ca6NuIzc2/MPahxKsrHzLmPFNkyUWFmM9MbFxTFixAinsrzbK1euBOD06dMA9OrVy2m7bt26sWrVqqtuQ1mRoFcIIYQQDn+e0BwBb55/4mFPvEbjIBntrVyu/vmqXbs2mqZddpsr3X+9kCXLhBBCCOHgV8gcJwXwLfu5T0JcUxL0CiGEEMKhc6RC50jnEcI7GitESk5vpaMV8ledSXqDEEIIIRwUReGPEXo++0flnziNTpE6xjSRgFdUfhL0CiGEEMKJp0nhwdb6im6GuErXasmyykKCXiGEEEKIKkmC3ktJTq8QQgghhKjyJOgVQgghRLWUciwNy/nMim5GudFQXP6qM0lvEEIIIcRVSUlX+XF5OkdP59AkxsRNPb0wm67fACsjPos/J/9F/I5EUKDukJp0ebU1OmPVGgus7kFuQRL0CiGEEKLU7KrGo29d5NgZGwAbd2Wz92gOz08JqOCWFW3Lq7tyA14ADY78coqQ1oE0uL1OxTZMlKuq9ZVGCCGEENfUjgNWR8CbZ8POLM5ftBWxR8U7//dF17LNrmWiapGgVwghhKhu7HZ44Qeofx+0fgy+X1fqqmy2wi95kGMvdZXlzr++byFlPhXQkvIlOb3OJOgVQgghqpuXf4Knv4ODZ2HrEbjtLVixq1RVtWxgJjjAeU3fJjEmaoZcvxmUrf/TBPfA/Osq12jiR8M761Zgi8S1cP2+IoUQQghRPuasKaRsNfRsWuKqTEaFNx+pwZe/pXH0TA5N6poYN6T8Rk3tOSp/fXaUA8sv4O5rpM2Y2sR2Dy5RHf71fBixqh9n1l7A6GkkrEMQiq7qjYJW95HdgiToFUIIIaobb7dCytxLXV14kIGpd/lfRYOKb/1HR9j63UkAUs9msejJXdz6aWvCGrumLFyOwd1AVJ+I8mjidUSC3ktJeoMQQghR3fxnKCiXBERebjClX8W1pwT2LzvvdFtT4cDSCxXUGlGZyEivEEIIUd3c2hmCfXPTHLzdYHJfqF85Rj1NHgYsWJ3LPPVFbF29FT7FsPqSoFcIIYSojno0zf2rZFrfGcWyl/Y5brv5GGg6tHIE7KJiSdArhBBCXE9sdjh1ESJrgFFO0wU1GRyOd4iZg8vjcPM10uymCLxDCslRFjKRrQB5NxWwfPlyfv/9d/bv309qaiq1atXi1ltvZciQISiKvHiEEEKUo6U7YPz7cDYxN/3gk8kwrF1Ft+q6E9W2BlFta1R0M657EvQ6k6C3gG+++YawsDAeeugh/P392bRpEy+++CIXLlxg0qRJFd08IYQQVVVGNox6C5LSc2/HpcAdM+D0TPD3KlFVmqbx3AaN97er5KgwsZnCK1116KvgslxCFJcEvQW8/fbb+Pn5OW63adOGlJQUvvnmGyZMmIBOJwteCCGEKAfbj+YHvHkysmHtXli/H75bBwFeMPWm3Ilol/H5Lo1pG1TH7Tf+1gh013iinQS91Ys835eSCK6ASwPePPXr18disZCZmXntGySEEKJ6qBsKhgKrECgK/LYFXluQm+e78zjc9jas31dYDQ4/HXKdt//TIbWQLUVVJpchdiZBbzHs2LGD4OBgPD09K7opQgghqqpQf3hmhHPZo0Pg923OZZoG36+7fFWFnK7CPKt3wCOEpDdcwY4dO1i6dCkPPfRQkdtYrVas1vw1Ay0WCwCqqqKqpftmraoqmqaVen9ROtLv1570ecWQfi+Zc+kaPx3S8DLCTfUUvE2lCyCv2O9P3gLD2sKmg3BDXWgRDX9sh/NJztv5ecJlnrtHW8NPB+ykZgOKgrsBnmirr7bPd0W93is6JVLW6XUmQe9lXLhwgalTp9K6dWtGjRpV5HazZ89m5syZLuUXL14kIyOjVMdWVZWUlBQ0TavwN011Iv1+7UmfVwzp9+Lbn6jx9DqVbHvu7fnb4PXuOvzdSh74Fqvfg9xgULPc/8fFwf8Gwtu/5d/v7Q4jW+XeV4TF23NoYrdhVSDST8ejnY1E63WX26VETier6BUI860cr52Ker2HhoZes2MVprqnMxQkQW8R0tLSeOCBB/D19eW111677Jtk/Pjx3HHHHY7bFouFgQMHEhgYiJdXyWbc5lFVFUVRCAoKkhPSNST9fu1Jn1cM6ffiG7vWzobUS8bMLND8pMLznUt+FbBS9futvSA0FH7YkDvCO+lGqBVU5OY/7srh8bXZjttbkiA02MB7g69+Ldski8pNX1pYdzT3G0DfBnrmjvbC03x9B1fyehcgQW+hsrKyeOihh0hPT2f27NlXDFxNJhMmk8mlXKfTXdWbS1GUq65DlJz0+7UnfV4xpN+L52iKilpgxOxYqlLqfitVv5fg6mmLDmqoBabsLDyg8cHQq3+en1+exZqjKnmrAizer/L2GivP9HW/6rrLW/V8vV/fX0auter0zBeLzWZj6tSpHD9+nPfee4/g4OCKbpIQQogK1D/aNXAYUOf6DSZq+7u2rbZf2bR3/XFbscqEuB5J0FvAq6++ytq1axk/fjwWi4Vdu3Y5/i6drCaEEKJ6eLGLjhH1FPQKeBjgibYKdzS8foPee9sbib4k8HU3wnO9zWVSd/Pw3JSOwIxMmsUl4JuV7SgT1x9ZssyZpDcUsHHjRgBmzJjhct+vv/5KeHj4NW6REEKIiuRtUpg3RI/FqmHQgdlwfQcOwV46/nnAgx9220jJ0ri5sYGafmUzxvVsH3eyfz5Mh10n0AF2RaF1hyZAdJnUL8qWrN7gTILeAn777bcrbySEEKLa8SzlMmUVwcusML6Vsczr9U3PpNPuE47bek1j1zt7aTEsErN32R9PiLIk6Q1CCCFENZWRo7HosMrms87r19ptGrs2pLB6QTznT2Y5yhMOpboMH9oy7aQcL3D5ZHFdkPQGZzLSK4QQQlRDW89r9Jtr42Jm7u0+0Sq/3qzHAHzy9BGO78tdZ/73L88x4v5IWvcMILiJPzqDgmrLj3xNPkb8Y7wr4BGIK6nuQW5BMtIrhBBCVEMPL7c7Al6Apcc05uzR2LMpxRHwQu5Vjxd/fR5V1fAMdqPzk00xuOdOXjN5G+jxfAuM7jKGJq5/8ioVQgghqrCTKRofbFM5b9G4ub6OIbG541074lynOe2M06ib5rpSUVqSDZtVw+Sm0Ghkber2jyDleDr+Md4S8F7XZKT3UvJKFUIIIa5Tamo2Wb8dRDHrcRtUD8Ut97StaRpbNqaz9x8LwaEmuvX2xcPTdemw8+kabb60EffvwO1Xu+3M6KXxYBs9nSIV/jjqHPh2jFCo7+HN4q/Po11yV3QjT0xu+T8Om72NBDf1L/sHLMqUrN7gTIJeIYQQopwtOaay+JhGtI/G4JDihSI5e+O52O1L1Iu5Eau+rj9B68ajD/Vi/rcXWbowybHtpnWpPPlSLYxG56zFL3erjoA3z2ubVB5so+fd3noG/2jjQGLueOD4ZgojGyroFHdumhLBH3POY0mxU7uhB7c+WPOqHr8Q1wMJeoUQQohy9PImlf+tzV0dQYfK2lCVr0ZqeLhevd5J6rOrHAEvgP1IEulv/YX5uV6sXJLstO3Z01b+2WahVTvnCWWFZCo4ymIDFPZNNPBPHAS4Q02f/J/C291Yg9Y9A7BmqbgXMoIsKgeZyOZMJrIJIYQQ5cRq13hlk/NyYCfTYMHhK4/22g4kuJbtTyDHqpGT47p/hkV1KRvVUIehwJl+dJP8AkVRaB6iOAW8efR6xSXgvXAwjYXT9jL3gR1sn38GTXVuR/x5K3+vS+H86ezLPjZxbciSZc5kpFcIIYQogVUnVd7ZppFhg7GNFW5vWPT4Uba98NHW+AzXsoLMvaKx7YpzKtuu+GDpvpig0DDiffNHdc1mheatPF3qaBKk8Nstel7YoHI+PXci2/QupRvvSj6byff3bicnMze4PrUtGUuSlc4Tcq/GtmJRIj99HefIBe43vAaDRwWV6lhClAcJeoUQQohi+uusRu8fVOz/BnZLj2tk5MCEZoUHkt4mhb61Ff44nj8iatDBkLpXHnHzmd4d26FEshcdQtMrLImNJWBNEjoUWpzOYG+DSJJqBhBRz5PhowLx8S38lN6vjo5+da7+h929Sy44At48OxecpfOEaNJTbfzyXbzT5LclCxLo0MOXwJAr5HGIclPdR3YLkqBXCCGEKKaZ/+QHvHk+3qkWGfQCfDVAx/1/5k5ki/GDJ5spRPleORjR+ZgJXHgb9gvptJxlo8XKwww/f5CN9SM4HOZP7NlEeq75hyHfjLzKR+XKZtPYuD6NY0eziK7jRvtOl7/4RPz5HGwFUi40Dc6dtkrQK64bEvQKIYQQ5SjIQ+H7wbm5saqqEhd3+VHXdKvGJ9tVdsVrdI5UuLOJB7tyrNRxN/Hu4LasalbbsW3fw6cYUg5t/uS982zbYgFgFans3G7hjhEh/P3tSafR3uZDwgCIiDLj7qkj85K8YoNRoXasWzm0ThSXLFnmTIJeIYQQopgmNtPx1R6702jv5OZlNydc0zRu/M7GxrO5B/hyF6w+qdAzWscya20y/D2ctl8aE8mRZI26fmX3M/bZ01ZHwJtn298Wht9Sg1Hvt+Tvb09hSbQS2z2QlsMjADCZdYy9N5w5H58jPdWOu6eOkeND8PaRMKNiSXrDpeTVKIQQQhRTh3CFZSN0vLtNw5ID45pcfiJbSa0+qTkC3jxz9mh8O1jP+Qwze9Odt9dQOJcOdf2u/tjWHI2z8TbSk3MKvT893U69Bt4Mmt7I5T413UqjGCMvfFiX+PM5BAYbMZllgShxfZGgVwghhCiBHrV09KhVPnWnFLHS10ubVLZOMFHrEzvxmfnlYZ7QNuzqj/vXP1m8/mUyKekqXu5Qy0tPRrrdcX9ADQN1C0lV0Owq5+9fScqsPWg2Fe+bYgj/oi86CXivCzKRzZm8KoUQQojrxI3RCp5G1/LdF8GuwsKb9LQOyf3Rum0o/DZcj0l/dYFNZrbKK7OTSEnPzcdNz4RjipF6Dd3w8NDRuKk7Dz8ejr6Q4yR9sovkj/5Bs9pB1Uj78RDx0/66qvaIsiPr9DqTkV4hhBDiOuFhVHixm56HluePsqJAlA94GKFtmMLfow1omoailE0Ac/S0jfQM55SKTE1Ht6EBtG96+YloliXHXcuWnoDXy6RpQpQpGekVQgghriP3tdIxuJ4OdAroFEwGhXd6652C3LIKeAEiQ/QYCwyB6RSICrvyuJgpxq9YZaJiaIX8VWcS9AohhBBlQVXhqW8hZDxETICX55e8CqudC+/s4rUvlrP22Ba+aZfNickGhsaW3+na10vP3cN8uDSOvr2/F2GBVw56Ax5phaFm/hq+On8zgc+0L49milKQ9AZnkt4ghBBClIW3f4MXf8y//b9vIMwfxvUsdhVH7l7NxTmHAdADDf88QfCeEf/eKj8jbvSiUws39h2zElPTSFRYIYnFhTBGeFF37xjSFhxBzbLhc1Ms+gBZm1dcnyToFUIIIcrCj4VM4PphQ7GD3pz4TC5+e8SpLOtwKsm/nyJgWO0yaODlhQcZCA8qeVig8zLhe2fDcmiRuFrVfWS3IElvEEIIIcpCkI9rWbBvsXfXbBqorlmXapbtalpVqLTkHBbMOsuHzxzl9znnycqwX3knUemURU7v4cOHmTx5Mi1atMBgMNCkSZNCt5s1axb16tXDzc2N5s2bs3DhwtI3vJxI0CuEEEKUhSeGg/mStAAvN3ik+BcJzvIwsebm1nwxsis/DGrH0VrBGIPd8R8UVabNVO0aHz97jLWLEjiy28KfP8Uz+5UTLttpyRmooz7GbpqIPfJR1FlryrQdonLYs2cPixYtIiYmhkaNXC9MAvD9998zceJEbr31VhYvXkyHDh0YPnw4GzduvMatvTxJbxBCCFEtpVs1pq6xs+wk1PFVmN5RR5uwq/g5uFND2PEmfL0aDHoY1wOiQ4q9+1efXuCI0Su3bV7urOnQkMZ3+pKRA95X2Pef3Zn89nsKGZkqnTp40f9G7yJXeDi618L5U85XwTi828KF01mERObn42r3zUGbuzn3xpkktAlfoDUMR+kYU+zHJCpWWaQ3DB48mKFDhwIwbtw4tmzZ4rLNs88+y6hRo3j++ecB6NGjB//88w/PPfccv//++1W3oaxI0CuEEKLaOZas0e6b/KubHUjUWHfGzsG79YR6Fj9QOJGi4e8GPuZ/92kQCS/eUeT2NrvG/niVdINKTGD+j602m8au7RanbTVF4fMvEnD/PI7mnf249YGa6A2ubTtyNJtX3ryAqubdTiTHqjJ0kF+hbSjuT9zaz9tcyxZsk6C3mtHpLp8UcPToUQ4ePMirr77qVD5q1Cgee+wxsrOzMZvN5dnEYpP0BiGEENXOiN+cL+cLkGaFnw4WLyQ8mqxxw1c2as+0E/KRnafXXTkndvcFlXozsnj8jxzqz8hi9A/Z2P/N4dXrwcvbdYUGRQNNhR1rkvnrj4RC6129Lt0R8OZZuSa9yHbUbeRJcIRzEFKnkafTKC8A4X6uO0f4F1mvuP5ciyXL9u/fD0CDBg2cyhs2bIjVauXYsWNlfszSkqBXCCFEpbPhjMp7W+1sPqdeeeMCLlg0tl4o/L7CLgGcZ9F+G31mZdD1kwwGz7exPS63PMsGL2zUWH7i8m257zcrp1Lyg+o5O+38uCc3WFYUhSEjajhtr1NVTPb8YPro7sID2cIuD2y4zKWJdXqF/5seTcd+AdSu70H3oYHcNdU1b1h5bljuVSryxIagjO1UZL3i+lPYRLbs7GxSU1Od/rKzsy9bz+UkJSUB4Ofn51Tu75/7BSkxMbHUdZc1SW8QQghRqTz0p513tuYHmP9tp/Fyt+KvY+trBh8TpFqdy4Pc4eZ6hQeLK4/YGPxVJlpezBpgpOCg2YqTGr0vM+ds02nXoHjzaZVbm+b+v1tvP2pGmflnm4WDW1KJP5TudIiQmpfk22oaliwNL3cdvbp78eeqNKzW/IC6X59CVpK4hE+AkZsnRVx2G91t7dEahqP9tBVCfVHuaI/i63HZfcT17+WXX2b69OlOZc8++yzTpk2rmAZdQxL0CiGEqDSOJGm8u9U5eHxts0qPWgo9aikYLzPCmcfNoPBsRx2Prsqvp6Y3bLhNh1EHSVka/m7O9czakpMf8ALYNSiQX9sw4JLbczfA56vAZID7+0Kf5rQK1/HXSee2h+w5B/3zI+U6se7UiXXnQkcvPnn6KOnJucuVhdQ003lwIAAbd2fx1nepnEuwEx1uYOoYX6Y/FcofS9PIyFDp1NGT9m08r9gPxaG0qIXSolaZ1CWuvcLSGaZOncojjzziVHY1Obd5I7opKSmEhoY6yvNGgAMCAkpdd1mToFcIIUSlcSRZc5mIpQJ956uEesLcQXq61rxy4PtIax0dwxWWndCI8csd4X13m8bzf9lJtULXSPhmoJ5I79y6DAWTATNyUHxMjqCiWySMrP/vcb9eA2M+dGyq/b4dy3eP8e6gFtz4Tn4icZvj5whbs43EPt4ENMsPDFRVY++WNDx8Dbh56WnWwZcbR4Wg1yukWlSe/jSZrH9HdY+dtfHUJ0nMfSGY/5sYWKw+FNVHYUGv2Wwu04llebm8+/fvp379+o7y/fv3YzKZqFOnTpkd62pJ0CuEEKLS6BCu4G3KnXQGOOWcnrfAmMV2jk7Uoytiua5LtQ9XaB+eu93a0xqPrc4fhV1zGu5ZqrLo5ty0iXvamvhmhw1b3iY5Kh90AQ9PHeFe0CtKyT/mJ386HUdRNU7dO5/0/3ny1rxdXOjgzc177NRMzM3RvfBXPAHNAvgnXmPpcQ3ztnhO/BHn2P/P+fHUa+lNnUae7DhkdQS8eeKSVI6esVGvVvEuHSxEWapTpw716tXjhx9+cCxtBjB37lx69eqFyWSqwNY5k6BXCCFEpeFtVpg3RM+kJXZOpbnefyIVTqZC7eJfCA2AP4655tsuOZ4fXHaI0rNyojvv/5VDlg3GtzIwtFFukJmcpfHYcjtrT6k0C1Z43w5uBSvTYOvcU0TVMOKWlIY9Of94vvV8+HC7yr1/5paN35bMpT8IaxpsXZVEnUaehAe65i4b9BDkL/PShavSXIGtoIyMDMdauydOnCA1NZUff/wRgG7duhEUFMS0adO44447qFu3Lj169GDu3Lls2rSJNWuurwuaSNArhBCiUulXR8exexSWHNMY+LNzsBrkDuFeztufTNX464xGsyCFhoGFjwDX9VMoGCLU8XPepnNtA51rG8jJVok7k012pg6zu56bfshh5Yncff8+q+Fdrztvbzzg2E9FYW9QPRokHKR+YzO7ctyx/Hv6rdk/goBOITz1af7jsOkKWY3BmBvUxkQa6dvOnSWb8tMk7ujrhb+3noSN8eyaupXUPcnUaBdIszfb4F2vhNG/qFLKYomyuLg4RowY4VSWd3vlypV0796d2267jYyMDF555RVeeeUV6tevz88//0yHDh2u+vhlSYJeIYQQlY5epzCgrsLk5hof78wNOE16eLeXDtMlk9k+2WHn3qUq9n/j2cfb6Xi1u+to6W0NFD7eCX+fz71t0MFrXV1HT3f9lcK8D8+QmW7H7K6j9Z0RrDzhDsC4bauYsnkZOk3jxMjuKCuOYrUr7A2Kpcfx1QRkJaMeVXDvEIU2YSDG/s0Jah1InEUjKSv/GFvCazDg0FnHbUVVadAg/yfiJ8f50redO4dO59AsxkSTOiZy0nLYNGoVOSk5AFxcF8em21bT6+/BKIUE0UIUV+3atdG0K48Z33333dx9993XoEWlJ0GvEEKISuujG/VMaaFxIFGjS6RCyCVXU0vN1nh0RX7AC/DaJpXxTXU0qOEcCLobFdbfpufXIxpn02FgHYU6fgqaprFktYV1f2fg5aEQ99dFdJbctXOzM1X++OY8NIxmxK6/mP3zJ/kVzjvG/ttHsPhoEG3ObCUgK9lxl2K1EbJsBbqnewEQ7KlwQwhs+3ft4H3BvmQadLQ4cZGGF5MIsqRTu0nD3DtzbCjrD9ImwIs2ffJXVbi49oIj4M1jOZpO6p5kfJvKBSWqL/nCc6kSB70ZGRm8/vrrdOrUid69e5dHm4QQQohiaxqk0DTI9eR+NBksOa7b74rXXIJeAKNecVmn94dFacz5OcVxWzF5EpWZhunfS6B5Z+TQNcjOTfu28lLPu9gbWofaiWe5a/MveCzcgC52IP6WJNdGHHW+Osb3g/R0+8bGuSwF7BrHDWaOR4YSD7w2xA93fxPsPQN9X4XTiajosQcHojUIRz+mPebm9V2PoVMwB7lkFwtRbZU4893Dw4OlS5eSnl70JQ6FEEKIitawBgS6O5cZdNAxovijX4tXOZ/rNEUh1ZyfaqDoYM4gPX8278OG6BYku/uwI6IBT/W7lwyjO3ajkYOhsY7tbYqeQ4HRLOo6jH3bcmfipWy5SOCeOBoZrHAxExKzIDt3NDmjWTAd762Xe+wHvvo34NWRgztqXAbamsPYJszBd+NuQvqEO7W19vgY3EILdICoVq7FZYgrk1KlN9SpU4dz586VdVuEEEKIMmM2KMwZpGf0IjvxGeBtgrd76onwLv6JPy+VMV2noACequb4xVhR4MaRwWiKjnNm5xSCVHcvFtfvSo7eyL7QhgRbLtL61FY+73AHiTEhJJ7xYNULx4nMtND4j9xJb/dFevPPoE7E++Rf9axeaipJhxT8oj1h1X4A7Bgp+LO1/ZO1tN32JGcXnCRlVxIB7YMI7X/5K66Jqq8sVm+oSkoV9I4ZM4ZXXnmFAQMGEBV1mWsuCiGEEBWobx0dp6coHEiEaF/wMpVspKtLJw+eWGUjwZA7+S3EbuO3+wMwZdiIiHYjMMzMxSQ7igIF5/okuQXgawK7FVbX7cKKmC4k+3oRQIZjm9NuHoQGe1EjLh2P02lM2nuYF9s1BUWhTkIyHddv57dfVIbeG4aXXYcee+EN1evQGXVEjqhN5IjaJXqMQlQXpQp6jx8/TkhICKNGjaJz587UqlULNzfnvCFFUZgwYUKZNFIIIYQA2HROY8t5jbahCm3CihfAbjkPM/9RUYCJzXR0KEF6wx69iQRDfjR7QW9g4Xkd0/v5wqaDsDGRwF7N6NnBgz835AezfpmZtGzugW99XzbOy/1l1GYo5JSrKCQEe6Nm2nl7QEsOhwQQkJVNi9Nx3LEzd2TXBpxddIzaeGAmDT05qAVGe/VTuhb7MYnqo7qnMxRUqqD3008/dfx/1apVhW4jQa8QQoiy9J9Vdt7ckh+APtFW4ZWursuPXWrFCZU+P+Sv4PDVHjt/3qqnWyGXKtY0jX1zj3N08Rnc/E00uyuWDcdc619/NAcGvUXGkt0siW1F6mt7uPmpjjQbX4vNe7M5b9cRXqcG9Wup1Ik0k3zeyv61CRhtNpQCw8FeKZnU3Xeelc1DOBySe0kKu6Jja81QWpyLp3FcAgCJ4WFEubuRlalDhw0NBaWGJ/q2UejGtEM/qk2J+lJUD5Le4KxUQe+vv/5a1u0QQgghinQsWeOtLc6n8Nf/1ri3hUZNn6JHs2Zs1ZyWLLNr8O5WlW4184NZTdNIWHCCnbMPc3pfAo2T9uNvTebQj2E0evpuNhWY890s7QLJy/czZuSTnPILBuCDhTbuvU3Hi8f0WKzAYSvP2Ww8ePYgY+6rRZ/7otFUjU3LLrJl/QkUVcM/Po1GO0+h06DT7ot83SaHTHP+pYQPBfo5gt6oO+pjHnUP1scWoB6IQ9+7PsYPRqCL8CtljwpR/ZQq6A0LCyvrdgghhBBFOpKiuYxaqRocTYGaPkXvl1HIkmUFlzE78uBGzr63l5PRPgw9s4QAazIAddNOUHOmlTXD7+dIQu4SZY1CdDx+ehPzG3d2BLwAOToD7/xiwaLkB60ZBgPLPfzwf/UQ989tjZuXgZ6jwvCzXuDixJ0ol1xMzs1mp1ZCGgfC8y9AXNvNTo3GfjQeH0Nkt1AgFPetj1+um4Rwokp6g5OrvjhFcnIyZ8/mXjkmPDwcPz+/q61SCCGEcNIuTMHHBKnW/DI/M7QJLXqfd9Zls+WIHYwmp/JxTfIDAWtcJmc/3Eeqm4nwzHOOgDdPzW3bWf9mCiv+TMPoZ8Knezh3zWlHfHPXFT+tWSoUWCEsxWgkJ0vl3P50olv7ARDcpgYJBgWsl4bxKkle+e1s72nhtW9vwM0oQYsoPcnpdVbqoPfgwYO88cYb7Nixw6m8RYsWPPbYY8TGxha+oxBCCFEMS4+rPL5a5VAS9Kmt8GFvhalrNU6lQS1v+KyvDo8CQWFcuspba6ysPGJj8+l/h1LNGrgZCPHW8Z8WEHAhg/1GI17uCh98kcBXkwcS7+XOU6sX0/e8cxsUTWPZxPWkm7wA2P/dcVa3b0GIMQPfAu1N1bsGwg1T0kCBGrXyo2FTDTP1XrqBQ//dhmbLXQKtHkfY8P0m/oxqQGC9GnSfOxK9BLxClKlSBb2HDx9mwoQJZGdn061bN+rUqQPA0aNHWbNmDRMmTODzzz+nbt26ZdpYIYQQ1cOZNI0hP6t512hgwWGNxCw4NlHPhQwI9QSd4hwUWm0aXT60cPDiv8Fu3v3Zdsi2Uyslm407Mvnr3wHW015mtvn6E6DPIjDDylfNO3HfjoUEZFkcdZ72DHMEvACBmVl8/scP3Hp4Oc93GcW8pt3RAyl6HWfNuadUnaZhsGu0v5hAm4QkVkQE0+RQDkkzTnBqfxpRbTR63lwfvzQbBz45iNWs47zShIiMeHrc14qge9ujKBLwiqsnE9mclSro/eSTTzAYDMyaNctlRPfw4cNMmjSJjz/+mNdff71MGimEEKJ6WXhUw25VcVM1soy5k87WnM69WFm4V+EB4R//ZNFg1QH6JKexvnYE22vm5z4YVI2IxEyntXQj07M5oRjQ/VuYYXLjluGPMn3ND4RmJpJqDuYfnyYux6mVlntZ4gl/reJcTgg7w0PYVScMVaegR6NxWjYGIN3Tk3ebxJKu19P55X2odgUUjbgTWXz9zGGiEuPJ8sw9DVsxccw7AuMZE8ES8IoyIukNzkoV9G7bto0RI0YUmsIQExPDLbfcwvz586+6cUIIIaony/p4Jm5NxKhqnPJxZ0lMGIqnAU9j4dtrNpWw8Qt46Z8LAEz+aydvdGvNF+2aAeBlt6ErMOylgiPgzbM/MJIPW41A7+mBb1Y2sSfO4pZtddqmduoJdpuac8wUQ//dp+m/+zTr64Tx8aBWBKdacTRRp0PR63nv55Ucb+B8IaeMVBvp53IwWW1YjXrHqLTJu4gHKIS4aq4JSMWQlZVFjRo1irw/MDCQrKysUjdKCCFE9bVnaxonViRgVHMD0pqpmQzZfYKpgam4G8CuaszfkMnjs1P4cFE6yekqp2btx+PfgDfPPX/tpLGvnQe9EnhqyUrcMjJcjmXXu46EWfx88dAgx2zmUO1IrCYjGqDpddTzuIB/VirHjM7pe52OnmPAiXP42Ox42uwEWnPwz8khJimN2LhE18u1AfqsHBQUzocEsT82ijORQUTVu+r55UI4aCguf9VZqd5dERERrFu3jpEjRxZ6/7p164iIkGt+CyGEKLn9O/NzanV2OxHn44nNtsL+Y8z9zZvDNzZg7vb8y/HO+zOd25cfo1OBerytOYxuqPD8el8sA/tgtNu5ITmVCE3Bw5rN2ppBJJlNRJ1LxmLOXTkhIiubEGv+mmY5JiPnmkRyQzi0u70mflkpJHTbkZ8vfImmBw9xrsUNeNv/zSnWwEOnkG42456RSaanh2Nbz7QM3LKs7GhSl2Q/bwDSfLz47Is4nhqQjc7DfJW9KIQoqFQjvQMGDOCvv/7iySef5MiRI9jtdux2O4cPH+app55i48aNDBo0qKzbKoQQohoICstfuss/OdUpveDiwTTO/HQs/7a3mbXB/kwf0B6bzjkQ3VYzhCc36bDocsd3cvR6/vb35e7FS7jt4HaG1tPRKDUDL7Me7HYsaDRPs7iMhWlJVvZtt/DlE/s5FG8m+den0JxXQcPgrnDnvsV422zO+6Kwr14kkafj8E1I5rRBj//FFCJPXcDibnYEvHlOewdzeP7BknaZEIXSCvmrzkoV9I4ePZrevXuzdOlSbrvtNjp27EjHjh25/fbbWbJkCb169eLOO+8s67YKIYSoBtp19yMy2g3AJZ8WIDg1dyTYYjZw3t8DVafjbIAPj9zZj3N+3mjA5trhPD68F3bVeV9Vp2N7aDBPN2nH6V9P0mHnEcLPJ+Or6DCgcMzNOZrV2+24/zvyq6mw/LNThOlyaP16K/xa56b5+TTxo+20GGqmx+OXme7S3sA769MiTCFJr/BVTBTpKCgaaEVMWFP9vAotF6KkJL3BWanSG/R6PS+//DJDhw5l9erVnDlzBshNe+jevTvt2rUr00Zea6dOneLrr79m9+7dHDlyhKioKObNm1fRzRJCiGrB7K7j4Zei2f3LcTa9nUVOgRO1uzV3NDXdzfkUtqJxHVY2iubev/bzQfOY3FGtTOeRVzSNGR3bc//GXdSNT8otO3SSDXVr8luTumzw8SLRkEWYzYZB02h5PtlxdMWuEr7lHJv77kHRwNtfR5/dQzFH/XtJuBXtGLRvHXNaDXAczsNdod+oEILvuxnLcRsvv5vKD03qUiPDQkSKhUy7ivsl6/uGamnUG3jD1XahEKIQxQp6p0+fzs0330yTJrlLt2zbto3o6Gjat29P+/bty7WBFeHIkSOsX7+exo0bo6oqqqpeeSchhBBlRq/ZaPzASxz27sg5zzBH4KkB/umZdNpznDVt6hCPe+4kMQ1QwC87h4V1I9AUBc8sK35pFs54546cGu127ti1h9t27kNV9SS456cWtDt6miWxNVE93Njr6c5Bo4LJYOCGc3GObSKOJRB0LhVQ0BRITdY4MGY1zVYPzt3gh0cZufwfAtafZoM+At8IL4b39SY4MPdU2762gc519GSmGPitQTQqCk20bP5jjuPs2RxqhesZ+GgTdLrqPRonyk51H9ktqFhB78KFC2nXrp0j6J08eTLPPfcc/fr1K9fGVZSuXbvSvXt3AKZNm8bevXsrtkFCCFGNaJrGbw+uZ8i5BCKVc5z1iSBbUcjR6/C02fFNzeLuvVu4e9dObrprOKe98tMBhrYw8mxTHb9P2YT5UCIAx/28+bBTC777YQFNz511bHvSK4DD/rlr+eo1DX12Dnp3M1ZPMwZPI+0PHKPW+fNcCA0mBx0B8WkubU3elZJ/Q1Hgxub0vhF6F/HYFt7txddrU6hzVk+LEAMP3+iH2XCZaykLcRWqew5vQcUKev38/EhISHDc1gpZeqUq0elKleoshBCiDBzYk8E/R2EIcMP5HbzZpS+/NGlMjk5HTFwSL3+9DHdyOJtj4oyHh9O+X2y3U3PzGWoeTsJm1IMCtVLTmb5is1PACxCZnsgJn0By9AYy3Uy4eZnJDM29uHAG8EfDGOqeTqTF0XPYDXo8vHSoBVY9c4vyLNFj8zQr3NTMxOTe3nKuEeIaK1bQ26xZMz7//HPOnz+Pj09u7tKKFSs4depUkfsoisKECRPKppVCCCGqjfhzOZzxC+OfsAYc9/Xkx2ZNc3NzVTuHPb149PbeLHp/Lp91bI5WMHBUFD5N9+FZN4NjWTHVoMes5rgcRwcYVDtJvt6cqRnC0UAfl212RwbT8uQFDDl2Lhj1BOtyJ7QB6A3QcFaXsn74QpQZSW9wVqyg99FHH2XatGnMnTsXTdNQFIWVK1eycuXKIvepTkGv1WrFas2fYWyx5M4svpp8YFVV0TRN8omvMen3a0/6vGJcz/1ev4kbOp3GzI63ccBTjy7TCmr+L4ynfTw5GOKPVa9Dp9ld1sy94ewF0MOlP+4murtjMRvxyMkPfk/6+/Pm4O7Uysyiw65jRF5M4WCk84WXQtLSHescWc06Yr/rSs6mOBSDQq1Hm2DyN5eoD6/nfq/KKqrfK3o0v2r/Ll9yxQp6w8PD+fTTT8nJySEhIYHBgwfz6KOP0q1bt/JuX6Uwe/ZsZs6c6VJ+8eJFMgq5AlBxqKpKSkoKmqZV+JumOpF+v/akzyvGdd3vCtwy3sj23xIwaJDs4+Gyyd5eobTVJRLndgGb6d/L+Goa2DSaBSRjjnXe3uiuMKttd3rv20dwWhon/QP4vUkj6puTibJkYqxj477TO/gmtjE2vR7InTB3o3ISU4PcOnQmPcaWejw61QIgOScF4iiR67rfq7CK6vfQUMnXvp6UaMkyo9FIaGgogwYNokmTJoSFhZVXuyqV8ePHc8cddzhuWywWBg4cSGBgIF5epVtvUVVVFEUhKChIPhivIen3a0/6vGJc7/0e3BsCz6msfnUv7w9rinrJaK7JruJurk+GuxlOQrpex2FPM6qmobNr9HLLJPtQslN9y5rUZJtHCH9FRWBxM6MB1myFxhdSSczWoUvMoObJiww7uYcdUaF4mnVEn01Ci1exqmDyNtB+eksial/d1Uav936vqqprv1fG9IbDhw9z+PBhp8USNm3axAsvvEBiYiJjx45l0qRJpaq7VOv0Pvvss6U6WFVlMpkwmUwu5Tqd7qreXIqiXHUdouSk36896fOKcb33u7u3EY9sG6M37+WLtk0cF3NokJiGxc3N8dutp01j5O5j+CWnEXsxiRpZOagKZLsZOOvnzYbocJbXr02PQycZtPsoi1o0YH2gH1l6PXs93GmbmMqXz0cTaLBxdlM8d9bxJrx9EIlnsjAaFXISs/CJ8sTgXqpTpovrvd+rqurY75Ux6H3iiSdITEx0BL0XL16kf//+pKen4+7uzv/93/8RHBzMsGHDSlx32byDhRBCiDK0+LCdJ1cZ6dawNpE2O00vJrEr0B9NUTjs60ntzGzMqkbLY6dpc/QUOuzceHYNdr3CDp+mZGneGHPsrGnZgJUNawOQYTRistvZ7uNF1r8pDHadwl+BvmT5mvAPdce/bv7avQERuVeFI9h8rR++ENXWli1bnEZyv/vuO1JTU9mxYwf16tWje/fuvPPOO6UKeqvP150SyMrKYvny5Sxfvpxz585hsVgct5OSkiq6eUIIUaXtOK8y/NtsOp1ORGcwcsbHi0P+vo6R3nSTgVPuZvrs3M9Df6yl08HjdDh4isz0moSnJDPs1CL8bLlr9I7cvI/Y87lLbm6PDOK0jyeJ7q5B7Lrj9mv3AIW4RtRC/q538fHxhIeHO27/8ccfdOrUiSZNmmAymRg1alSpr58gI72FSExM5L///a9TWd7tjz/+mNatW1dEs4QQolr4do/KoCPn0On02HTgpcLEfcf5pEEU2cbc01a6Qc+Anfud9rNjIJGaBHCeVinb+LNGb3yyrHz4/UL8tUQ2NGqG90kLPlnZpLo5B77NQmUMSIjrgaenJ8nJyQDY7XbWrVvHAw884Ljf3d2d1NTUUtUtQW8hwsPD2bJlS0U3QwghqiX3zBwiLNnOhSYD9/y1l3e7NgPA12bDzeq69q6KDhV33HLS8LFaCMxOIyb1LMYAN5r82I1d7x9gyp6jvFmvPjlKbqA7oY2RTrXldCiqHq0SXtK6cePGfPXVV4wZM4YffviB9PR0brzxRsf9J06cICgoqFR1y7tcCCHEdWV4tMbsQsqbn8pdH8yoqjRJzWBn3Vq033/0ki00vEgH4Jx7KPXSzxCckUpGDR98f7odY4gnrZ+/gdbAI+kqa47bqReoo2movtwfkxAVQat8MS+PPfYYQ4cOJTg4GICWLVvSpUv+RWCWLl3KDTfcUKq6rzroPXXqFAkJCcTExJR6eS4hhBAiT6jRjm9KOim++ecUD0sW3qlZtElKIzg7B6MGS29oTGh8CnUSL2DUcvAjGRM52IGNNW4gx2ggy9cdm8HIgGwP6l9yjCAvHTc3kZQGIa43AwcOZMWKFfzyyy/4+vpy3333ofybz5+QkEBkZCRjxowpVd2lDnrXrl3LG2+8wblz5wD44IMPaNOmDYmJidx1113cd9999O7du7TVCyGEqKbMaOgvJlMzKYN0Xw98Uyw02Heav+uGE5OUTqa7GbcsKz027ictOohv2tXjpq1rCEiwcc7kz07/Oqg6HXq7ipKjggFObE6k/o1yoQBRvVS29Ibs7Gw2bdpEWFgYb775psv9NWrU4Keffip1/aX6mrtlyxb+85//4Ovry8SJE9G0/AvdBQQEEBkZydKlS0vdKCGEENVX8q4k1tevxSu9W3Bc0XHMZOLxO7rjnZbF3fPWMmb+eu6et5Z6xy4QlJLJiJpn+LZdL+ZHdWJ1aDOSzfkjxMq/ly/2r+V6VTchqjpN5/p3PdPr9fTq1YvFixeXS/2levifffYZ9erV44svvmDEiBEu9zdt2pQDBw5cdeOEEEJUP76x3nhlW0nw9uDLHs14b2AbdkeFcDHKD72q4Z+agcGeu/jSCZuRI63a8WjDExgKxLUaYDMbqVHHk6bDru5KakKI8mcwGAgNDXUaTC1LpQp69+7dS79+/Yq8qklISAgXL168qoYJIYSoeuyqxtFkjWxb0Se1gGYBjI9V8cnIcpQpaDSf3hw1PH8UN83LjYMNIti8JpWwV4Zzx/rB1Lu1Nu5BbtRo4keDyQ0Z8HoL7viiLW7exnJ9XEJcjzS94vJ3vRsxYgTz5s1DVct+VeFS5fSqqlroZXfzJCcnYzTKB4wQQoh8q0+qDPtFJTkbjDp4rI3Ci10KXzlh8GstWL8xic+2p5Id5Mno9mY6RppZNqM7G949jAJcDPRB0yn4uuUOwJi8jXR+qdU1fERCXN/USpbTCzBhwgRWrlzJjTfeyEMPPURsbCweHq7pSbVq1Spx3aUKeqOjo9m+fXuhqQ2QO8mtXr16palaCCFEFZRj1xj0s0r6v0vr5qjw0iaN7jVVbqxd+K+GTdr7M6O9c1nbXv6s+j0AS2r+FdR6DA0sr2YLIa6xJk2aoCgKmqaxatWqIrez20t+FcVSBb1Dhw7l9ddfZ8GCBXTr1g0ARVHIysrivffeY9euXUyfPr00VQshhKiC9ifiCHgv9fbWooPewvgGGHnk1TqsW5xIarKN5u19aNbOpwxbKkTVcb1PXCvMM88841iirKyVKui95ZZb2LlzJy+++CIzZsxAURSefPJJkpOTUVWVwYMH079//7JuqxBCiEqqlg8o5E4uu1SIR8lPbjWCTQwdK8uPCVEVTZs2rdzqLvU6vc8//zw9e/bk999/58SJE2iaRuPGjRk4cCC9evUqyzYKIYSo5HzNCsNiFX4+lB/2GnTw33aVcChKiEqisq3TW96u6opsPXr0oEePHmXVFiGEENcJVdPYdFbD06jQLLhsTpw/DdUzZpGN+YfAqIf7WirUD5CTshDlpTJehjiP3W5n//79JCUlFbqSQ9euXUtc51VfhlgIIUTVcjJFo+88G/sTcm/3rq3wy816PIxXdwZddETl633/3rDBixs1onxUJjaT0V4hRL5XX32VV155hdTU1CK3uWYT2WbOnHnFbRRFYcKECaWpXgghRAWautruCHgBlh/X+HCbyn/aFb68WHF9scd1bd7ZuyXoFaK8VMb0hlmzZjF16lS6detGnz59ePLJJ3n44YcxGo3MmjWLOnXqMGXKlFLVXaqg99NPPy3yvrxlJiToFUKIymnzOdfgtLCyknIr5IzjVgkWyxeislIr4dvro48+on379qxcuZKEhASefPJJBg4cSM+ePXnwwQdp0aJFqUZ5oZRB76+//upSZrfbOX36NN9++y3p6enlOvtOCCFE+WkTpnA4SXMpK42lx1U2noUbQuD/mivM3a+R8296ngI82KoSnpWFEOVm3759vPDCCwCOpcvygtywsDAmTZrEO++8w1133VXiuksV9IaFhRVaHhkZSbt27Zg4cSK//fYb9957b2mqF0IIUYFe7qZn63kbBxNzb/eopTClZdEpCDl2jf+tVflqj4aXER5rq2NyCx33/2nn/e35wfOYRgrrbtPz0Q6VcxaNRjUUYvwk6BWivFTG9Aa9Xo+npyeA49+EhPx8q9q1a3Po0KFS1V3miVSKotCrVy8WLVpU1lULIYS4BqJ8FfZOMLDuTj3bxxtYcbsBT1PRJ8/n/lJ542+NuAw4mgL/t0xl9i47H+5wHi3+am9uUOxlgiXH4e0tKk2+sPPKJteZ2UKIq6cprn/Xu1q1anHs2DEAzGYzNWvWZO3atY77//77bwICAkpVd7ms3pCTk0NKSkp5VC2EEKIc7IrX0CvQKDD3rKjXKXSKLN4Zct5+13zfORuzUTWTS/mGsxrvb1Pzr1KhaTy73s7EZgo13CvBGVkIUa66du3KokWLePnllwEYMWIEM2bMIDMzE1VVmTNnTqlSG6Acgt69e/fy/fffU7t27bKuWgghRBlLzNQYvMDGxnO5t3vUVFgwTIePufgBaKA7HExyLjOtOEHQDbWJV4yOMn+zxsYfz4JXSO42OTY6HDpNjfRMVv6dRNNeIYTeGIlvlNdVPy4hBGjldDnf8vTggw/SvHlzMjMzcXd3Z/r06Rw8eJAvv/wSgD59+vDKK6+Uqu5SBb1Dhw4ttDwlJYWMjAz0ej1PPfVUqRokhBDi2nlho8rGc/knxpWnNN74W+W5zsVbnmx3vEbzYIWNZ1VUcuvxysym784jdDl2hh/u6caOBIXGNeA/K3cyJ8cHWuYGvE//tIaaiWnY9DoumvSs/CcFZhyk5cRYGk+sz9Y9Wfh46mjewIyuEuYmClHRKuPqDfXr16d+/fqO256envz666+kpKSg1+vx8ir9l+JSBb0hISGOGXV5FEWhfv36REVFMXz4cMLDw0vdKCGEENfGX+c0QClQduX9VJvK84sz+WhzDvXOJXBjphWdXeO8mztZ6Pi5UV367z/O6i6ZmGt7o6Rks2riblp1qEv91GT0NpWIpHQ0IMekx6rXszssEFVRyJ51hAWLU9kbGkKO0UDDuiZefDgQN7Os5ytEdeXr63vVdZT5Or1CCCEqj5ZBCpvPg86u0n7/GXwysmkVEwl4QY4N9DpsKJxLh3Cv3FzftT+cY+F35/nbz4tnNu1zzIg+5e3FB+2aA3DW14s94UFsezeVIK90TibbadqtHpEpaVizszCqKhZfDzxSMkh2d+ON7q1J8HQHwDczm5fmrqHT6kP8cmNz9uHPsg0ZDO4haQ9ClERZrN7w66+/8uKLL7J37168vLzo0qULr7zyCnXq1CmDFhbObrfzzTffsHTpUi5cuMBrr71Gy5YtSUpK4rfffqNXr15ERESUuF65DLEQQlRT2SlWJqWf43C6mRGfbaTemdw1yoy/qVjbncO0dgfZXh580ro/s5vfSHa4B7fUVvljvYI5NJCbNuxyWgKoZlo6oampHAzww2BX6ZqWgVuOjbQk8AYsOh1vtGzMSR8vamRmcdORE7SxZLOkXpQj4AVIcTfz8w2xPPHL3wxcsZtPR3Xm5Nmca9s5QghWrVrF8OHDGTNmDC+++CIJCQk888wz9OnTh127duHu7n7lSkooIyODPn36sGHDBjw9PcnIyCApKXfSgI+PD//973+56667HGv5loQEvUIIUYUlH0kl/XQGIa1qYPTKn1R2YuFpNs3aQs4/dsaq4JmZH1RGZe/GtOoEAH+GNCUxK5jxS/5CVRT+bFQbPL24Zc0OzIWkGwRZMmlzNp66GVkcrR3pKNcDXzWsS7Ixtw0J7m7MbhRLvfMXifPyICTFQpZRT4qHGwDbo4NJ8jTjb8mm3ZHTxI5qVA69I0TVdrVLlH3//fdERUXx+eefO9Jag4OD6dmzJ1u2bKFLly5l0Epn06ZNY8uWLfz888907NiRkJAQx316vZ6bbrqJJUuWlF/Q26ZNG5cc3itRFIVNmzaVuEFCCCGunqZprP/fNg7OOw6A0ctArw87EN4pGLtV5e/p29FC89fHtXgZ8UjPIdnfmzZJ8WCFtbWb82tMb1odyq1jWf0oVkbXJNNowK1FQ0b/sw+7MT/wVYHIVAudzlzgRFiwU3vS9DpHwJvHptOxIbYWd287QGBiGm6ZVlbVq8knXVuQ7mHiobt78fFHSzEoGlk7L0Lvq8/pE6I6udrVG3JycvD29naKAfNyazXt6i9NXpgffviBSZMmMXToUKeLUuSJiYlh7ty5paq7WEHvwIEDSxz0FkdRq0BcyS+//FLGLRFCiKrl7IY4R8ALkJNuY/1T27hlRV+yLmaRnWjFEOr8uZ5j0rG3aU06/+2LlzWDP2PbUjM+AavJyMbYWvzQLNax7drGtQhNt9DnyAlsJj05ej1/xkbR9lTuLDivjEynut1UDZ2moRY4l4RasrF7mLjgUQPfhHR6HjhFireZb9s05myAiT2NfQlIT+P8Ee8y7iEhxJWMGzeOr776ig8//JA77riDhIQE/ve//9GyZUs6depULsc8e/YszZs3L/J+Dw8P0tLSSlV3sYLeadOmlaryKylsFQghhBBXL2F3sktZ2kkLOek2PELdMXkZULE73W/OtNFyxxGOZLYgkxr4WDJINAWREBbMPxEhLvUtaVqH8ct3c7KWP9/3akGGyUjjCwl4qSoedhtBySnE+/qAopCt12E06Mi2548ONUxKITrd4rid6u+Jb1I6sXEp8O+5waDZ6b11L9s7uB5fCHF5hS1Zlp2dTXZ2tlOZ2WzGbDa7bNulSxd+/vlnbr/9du69914AWrRowR9//IFeX7xlDUuqRo0anDlzpsj79+zZU+oVwio0p1dWgRBCiPIR3NL1Mp1+Md6YvHNTDCJa1+DU+bjcOzQNg03DXbPhdTEVgHgiab4jga8GNsJP1fCy2Vzq88qy8vStndldKwiTqhGRkU2irxdBthwUoGZ8AiGJySS7mXi5c8vcQNaugk1l2KHjtL+Q6FSfplNQ9Tp2hgUB4JltpfeBoxhUFe9954AWZdY/QlQHhaU3vPzyy0yfPt2p7Nlnny10gHPDhg2MHj2aiRMnMmjQIBISEnj++ecZOHAga9euLZeJbL169WL27Nn85z//cbnv2LFjfP7554wePbpUdctENiGEuM6pOSqnlp0l7aSF8K4hBDTyu+I+oW2DaHJ3LHu+OIxm13APNNPppVaO++tPqE/cM+dxS8vBPcWO2WZDj3OOnnsGWHR6/FQbjZPS2OPnTYo5N2jWaRopHmbO+uUuI5YNHNHr6Ge3k+ThTpq7Gz6ZWfhlZBKenMZ7Py/kuxuacdHbh5h0K9F2cpcHvuSQpuwcMtzMrK8XSUhmNv9bvBrfrNwRKXOQ29V0oRDiX1OnTuWRRx5xKitslBfggQceoGfPnrz55puOsvbt21OrVi2+/vprJk2aVObte/bZZ2ndujVt2rThtttuQ1EU/vjjD5YtW8bHH3+M2Wxm6tSppaq71EHvjh07+OKLL9i9ezdpaWkuCc0ykU0IIa6ealNZducaLmy6CMC2V3bR/sUbqHdH0WtkqgcuYH16MU12naVxu9pYxnWmRpdI7Fk2si5m4RboRkD7QIzZORhS7RhshU9Isel0JLi7EZJuwd2uMuroGQ75epGl0+FtzWFJpPNktRy9jhOBAdguOYHWvJhI06OnqXMujU+OLeSzPv1z26jTEefnh396OqYcGzZFR6KvL+djatE62ULjCye4c9cqUggmxcOd2CdaXmVPClH9FLZ6Q1GpDIXZu3evy/yryMhIAgMDOXLkSFk00UVMTAx//vknd911F8888wwAb7zxBgBNmjTh66+/pmbNmqWqu1RB77Zt25gyZQpeXl40adKE9evX06ZNGzIyMtizZw8xMTE0aNDgivVMnjwZRVF47733MBgMTJ48+Yr7KIrCRx99VJpmCyFEpXN6xXlHwJtn+xu7iRlZG53RdckwLdNKVs8P0c6m5Bbsj8P7WDw7unTm2DdHUXNUwtv503RQDULcMkmx547c2tBhREF3ydCr2T2RPkc28ke9jsSkWfCy2WiamAqaxgV315Omp83uFPACnKrhT7N9J0hw8+a0n3PKhc1o4GRwIKru38ehaTQ8f5Q7T+2ly9Fd6DWVxbGtea1bB7Y2lpUbhCipghNHSyoqKopt27Y5lZ04cYKLFy9Su3btq6r7clq1asXOnTvZvXs3+/btQ9M0YmNjadny6r78liro/fzzzwkMDOTrr79GURRuvPFGxo8fT5s2bdi4cSNPPPEETzzxxBXrOXPmDDqdzum2TGwTQojc5YB+XZXBkqV2cprG0vj4WbwzstCpKpbUHH67fQ1BzfypPaIO27ZmkJFup1VnX6KOHMsPeP+lrj/GuQO+qAZ3ArNSifllL1m/aXi0CiDeUIPtN9ThZK1APC1Z9F6/k7opxwjQ4gmynKXd2o3UTErk78Bm+OsUMjzcyTHoqZFjIzotg2PeHo7jeGQXcgEJRSHB3xPPrGzcs3LwT0kjyTd3JQYF8MzKRs2x4m2zcc/mH4lMjmNHcCRjB4/ljLcfes3EjYOCMejl3CDEtTZ58mQeeughHnzwQQYPHkxCQgIvvPACwcHBjBw5styP36RJE5o0aVJm9ZUq6N2zZw933HEH/v7+pKTkfriqau56j+3bt2fAgAF8/PHHfPzxx5et57fffrvsbSGEqK6+/DWNbxalA3oIC+JEaCCedjsddu7HP81C3M4k4nYmsf3HMxyqWwsUhb+WJTGpQza1CtSlAYdq+DO3eQOyTNDt8Gnu3LIHBQOHmoVyPDo3TSHNxwNdWBINknc67T9s/zouNKrFX3UiyDAYqJljwwj0PRvPAV8v4txMeGfnsMXDHTTNsfICgDHHhk9WFlkeRqLPX6Rt/Qx+snpzIc5Gml7Pz1HhxHu44WXNof2RIDR7Dt1GP0KaOX+CzA1GmX4iRGlc7cUpHnjgAcxmMx999BGzZs3C29ubDh068MMPP1CjRo2yaWQB9erV4+6772bs2LGEhoaWad2l+iSxWq0EBeXOrjWZTEDuZePy1KtXj99//70MmieEENWLdV88lhmbWGBvCrr8izloioJis+OfZnHa3pSZjUdGJhmeHmga/HbSm9H1w/A5cM6xzeE2jXmyY2eyjHpuSEzhXK0wPgitQXuPOA7YCl6/3vUsGefuzUtdWpH479XSdKpG/7gEamdZaZSSTqMUsKefpUOODatvJOe8PMnR6zHZ7EQlJqPXNPQBZrr8ehOmegGMPZDKh/f/w1s3NHfMLk83Gbl5+CQmb1/rFPACfPq3jTcHFC8HUQiR72ovTqEoCpMnTy5W+mlZMRqNTJ06laeffpoBAwYwYcIEBgwY4JQZUFqlqiEwMJC4uNylbtzd3fH29nZKaI6Li8NgKHk83bZtW/74448i71+6dClt27YteYOFEOI6p9lVzk5cxuFG33Bm5mHsriuEFanx0eNEnThL3UMnyNx5nsEdRzHsrkcYdtcj3HXL3UwdPoRMk4GBZy4w+MwFGqekE52VTYaXG0qBScjr6rQmS+985bTX2gx1BLwAqk5hu7cHuhwbaQY9Q7f9zEeLP6BL3Gk8c2zUTUqhXkISdZJTMP2bIxzePghTvdyc3uD6PgQ/3MLlhGw1GHm3bU+XxydZb0JUH3v27GHDhg2MHTuWlStXMnToUGrWrMmTTz551ZPnShX0NmrUiJ0783/+ateuHd9++y0LFy7kt99+Y968eTRu3LjE9V7pknbldck7IYSoaEkzd5P82R4AdBp03XPI6X5FVYlMTiLJ29Op3F3NpEZqHH6JqXilZ1LrZDyjN+3GptOTYzByISCQyM0XaHPhIrHpmRwN8OdgUA3ivXLr8c3MAk3Dqihs8/Lgy6i6tBr9PPNj2/BXRH1+rtuLfQEFEyYg2WxiTUggafY0bjyyBYBaSadz2wroNQ0FMGdb8Yz0oMMjjZz279i8+Ot7/l9b45U3EkK40BTF5a8yaN++PTNnzuTcuXN89tlnREdH8/LLL1OvXj169uzJt99+63KBjeIoVXrD0KFDWbhwIVlZWbi5uXHvvfeyY8cOx2LHNWrU4IEHHihN1Zd1/vx5PDw8rryhEEJUMpY/jjvd7r9lNzpNY3/NYGqkpzN0+3ZqJyRwzseXFbENUVTIMRsYvXMZS0N7Oe3rk5lFeEIKZ4L8AYjz9qbn2TgOR4Y6TnrnTQYC3DMw2u0EpVn4slYY59xyUwjOmIO4u99dpAT44JGdQ6eDJ13aO6SlG3V0JiJXJjnKWpz+h4NBddkR2RQAOxDaIZDR0+qi6JxPti3C9dzXwcj7f+VOfjPooFeMnkOJGj5mqOGhoGkwrJGBe9tJTq8Q1ZGHhwfjx49n/PjxHDx4kOnTp/Pdd9+xevVq7r//fkaPHs0jjzxCrVquX8wLU6pPkvbt29O+fXvH7cjISH766Sc2b96MXq+nRYsWeHl5FauuVatWsXr1asftn376qdD1fVNTU9m8eTMtWrQoTZOFEOK6ZqzjvCSXDqh3/iLtTx2mzr/pZABhqSl0PX6IVc1iGbXjN3xyMihc/i9jnjk5pHt5UPC3snSzGU+sxJkMjoA3T4rBBHaVDLORZU3rQo4dL4uFbIORkS1NfHSzB95uCvRpA9+YIMuKXtO4bdtP9ErYxoYXHqdJW19i6hU9ovveEDOT2hrYc0Glc209kb5Xn7MnhMh3tRPZrgd2u51ff/2VWbNm8ccff6AoCj169MBsNvP+++8zc+ZMvv32W5f1hAtTZl+f3d3d6datW4n3O3jwIAsXLgRyE6a3b9/O9u3bXbbz8PCgWbNmPP7441fdViGEuN7UeOQGUn88jO1UGgDZRgObGsfScf9ul239LBaiDyVywN4UH3MK7hYrmZ4mx/3pbmbO1fBD0TSi0tPxstvBaCA4I5NENzds+tzgUgUiLcn4ns+G2pGXb6BRz6xlX3DL3s3o5jwAbv9+3gf5wvePwH0z4XQCNIgg+IvJDGtXvFnXTUP1NA3VF2tbIUTJaLrKG/Xu37+fWbNm8fXXXxMXF0dwcDD/+c9/mDhxInXr1gXg8OHDjBw5kscff7z8gt477riDwYMH069fP/z8/EpThcOkSZMcl7Fr06YNzz//PP369buqOoUQorIxRnpTd89ofuqymCSMrIqtzY7AACxZqbQ8ecJp2yxMmNI1snTuZOnc8chSMVqzyXbXY7Sq7A0I5KCfO7EpFrxsdsd+ek3D22olyT13UpqnzcY/IREMP7aW+gkXOVAj0LGtSdOwXnLCbBR3mqEHtuZevGL/GefGD20Lg1pBYnpuECyEEKU0a9YsPv/8czZu3AhA7969mTRpEkOHDnVZJCEmJoYHHniACRMmFKvuUgW9SUlJvPnmm7zzzjt07NiRgQMH0rVr11Kt2HCpX3/9FX9//6uqQwghKquEdI11MTGAQg0NjKrKT40b0fvIUW44kxtoprh7cNbgfGUzTafgnW7FP1nj91Z1eXN4bvpZbJpr6oNeU8nUK9RKs+DhaSNdVfm+fVd+/Plr3m7Xjq0htYhJTsYSEk2CNYem2UdosG8fE7euxJy3pESvZq6N1+sl4BXiOlNZJq5dauLEiYSGhvLf//6XiRMnXvHKb40aNWL06NHFqrtUUeqiRYvYtGkTixYtYvXq1axduxZvb2/69OnDoEGDSrVyA+CYCHc5chliIURVdXhTMnnr5GYYdBwM8CZb0XHv0H6MOXCcGlnZJLt50WKr67I9ST7u7G8cxZdd8ldJuODhRuPENKftjNk2fPWZZOkUVMCq1xOVdJrGabuZtTw/leL17uPYEN2SCf3C6LD9J8jOAA8z/Hc4dC+7KyQJIcpPZUxv+Omnnxg8eDB6ffHSnlq3bs306dOxWq2Oa0cUpVRBr6IojslsmZmZ/PnnnyxatIiffvqJ+fPnU6tWLQYNGsS4ceNKVG9hlyG22+1cvHgRVVXx8/PD3b34y9wIIURloryyDi2yIatqBrE70Ae/zAwWfPs5HY6dIl3xIcXsxcHQSM4HeBGamO7Y70ioP7ta1MVN1VCV/MlgBwK8qZWWQUxK7gUtNCDHbMSu0/N1nQg6e5hwzzRw9/q1Lpek6Ld/HX/VaUlUt0gY+Qacugj+nuAln8FCiPIzbNiwEm0fHx9PdHQ0y5Yto2dP13W+L3XVE9nc3d0ZNGgQgwYN4sKFC/z+++98+eWXfPTRRyUOeou6DLHVauWbb77ht99+49NPP73aJgshxHXHeiKV7H3JpNYEo6rhbbXx4pJf6XjsJCkEggbeWdm0On6EVNx5r2tHTDaNc/7eaN4mAtXctRkaJqaxPiL38qCqorCsVjCeR84RmGXNXb1BUfCz2fG15pDpq2dXDW88ClnvUq9ojB3pR3jIv2vk1gx02UYIcZ2rhOkNpVHc6ziU2fowp0+fZsGCBfzyyy9YLJYyuVxcHpPJxPjx42ncuDFvvfVWmdUrhBAVzWbP/bA+kaDxdf8uYDbTNCGNwUcv0Ox8PJl4uuzjjpXaiUm826816xpHMXndKseV1ZpeTKHvsXPUSrHgkWnlviXbqZGdk5vb9+8JUANs//4/xWxiba0bXHL/ol8YyNC+3uX4yIUQ5U3TKS5/1dlVjfSmp6ezdOlSFi1axK5du9A0jdjYWB566CH69+9fVm10aNGiBR988EGZ1yuEENfa7wftPLg4h8OJGp1q6og6aMFoyM9hM2gaa2NbUu/0ckeZ5vhXwWbX0KdmEpaUSMvTJzh6/DC7akYTkJZOZGISnY6fZV1III397RyzW0nQ5+e6HfH2wGLM/fh3z7GxvHFbfG4I5LYzf0GODSb0xv3WztekH4QQ4lopVdC7du1aFi1axNq1a7FarQQEBDBq1CgGDRpEvXr1yrqNDmfPniUnJ6fc6hdCiGvhQrrGTXOtZP+7GML60yqeySphBbaL8wpAp8sG1R0VHSp56+vq+CO2FvYclSxb7nq7w7dsIN3sQYY5N+dWB3S9cJHk+5pRS6/jwtoUvOx2LtbwYFWWBwoaaNA4NRPVoGcBsdz2ey+EEFVHZVy9oTyVKuh95JFHMJlMdOnShUGDBtGhQ4diz7K7nPPnzxdanpKSwubNm/n+++9p1arVVR9HCCEq0tIjdkfAC6DTVGqfjyfbx8dpO/fMbH5o2pPmp44SlmhxlBtQuX3vXtZFR3LR25vlsfXpcvyYI+C91B9/pnBOcwNyR3qD0hXeaGNn7goLN9jSiM/MHTkOCzWWy2MVQojrRamC3ieeeIK+ffvi7V22+V6DBw92Wb0hj6ZpREVF8dhjj5XpMYUQ4lqL9HH+nGt69iItjp4my+zGqbAg0j3c8ElN5bi/H35pFtKNXoDFaZ+ex3IvWGHT6Xi2dz+G7d2Fv92GXe/8sX7GzQ1dZv7t+FSVWsEGeoZqZKTnJkwYDTB2pF+ZP04hRMXSFLm096VKFfTecsstZd0OACZMmOAS9CqKgo+PD1FRUbRt27ZMJ8gJIURF6F5bx4BIleiZO+i+5yRG7IRlpWJQNTQOcr6GN1sb1GJnrUiW+XqjoRJ74YJTHWd9cgcd0txN+Koq85u2IDo1ja5nLjhmKO8J9iPBZCYo03l1BoNe4bnHg9n4t5VMqz+tm3sQ4F9mV6UXQlwnqvvEtYKuq0+5e+65p6KbIIQQ5U5RFF7buZvTW4+ApuGvWTD8O01NAcIS0vBIz3IsMbamYT3aHDlK9MVEAGw6hTcGdgN/d3LscFbnjn+mlX0BvuwL8Sc4O5NEdzNN2/gwLi2TRVvyjx3ordC7uQm9HmLrmAkO9pLBBCFEtXBdBb1CCFFdnP/uKABB2nnAy+X+LLOZGukW7AYDKWYToybfRudDRwlOtbCscQxHQmpAjgqZdrINehI8zbinZWHXFLL9vfhhtAfd6xrIzjFQJ0TPhv1WagXquaefJ17uOlRVvcaPWAhxrVXGiWzPPfccN910E02aFH7lxz179jB//nyeeeYZAAICAli5ciUtWrS4Yt0S9Bbi+PHjvPbaa/zzzz94enoyYMAApkyZgtEoEz2EEFfPGp+JPdmKt5ZCczazl47k4Oa4f19MJJlBfsSk5l517YSvJwleQfzUusBJ4JL12B9ppyfGL3dN3+EtTdTwyh29NRsVpvT3ZEp/1/V+hRBVXOWLeZk2bRoxMTFFBr27d+9m+vTpjqDXaDTSrVu3YtUtQW8BqampTJ48mVq1avH6668TFxfH22+/TVZWFk888URFN08IUQUkfb0Xg6oSwln0aCT5GzGn6THa7FgNevbFRjptH5ViISQ9i7O+Ho4ysx7ubaWQnaVjZHMDXWtf/Qo6QghxvcvKysJgKF34KkFvAfPnz8disfD666/j6+sLgN1u59VXX+Wuu+4iKCioglsohKjsTGY7ejROhNSg7gXQFI0/urUgIMVCmqcbWiE5tn5ZVkfQG+wBf47Q0ySoEg7jCCGumcqS3pCamkpycrLjdkJCAidPnnTZLjExkW+++YaaNWuW6jglmr1gs9n4888/+eKLL1iwYIFTA6uKDRs20LZtW0fAC3DjjTeiqiobN26swJYJISq79O0X2Td8KfveO0lKDSOHzHU47+VLTctpNLtGfKAvme5mKHAdeZ1RIaqZN6GeMLK+wrbRuQHv70dVmsy2YX7bxuCf7JxOK97154UQ1UNluQzx22+/TXR0NNHR0SiKwkMPPeS4felfq1atWL58OZMnTy7VcYo90puamso999zDkSNH0DQNRVF47733eP/992nYsGGpDn49On78OEOGDHEq8/b2JjAwkOPHj1dMo4QQlZZms5M9bSkZX2znwLlAVDX3pFMDOO0fQJeJL3HLnk2cCA3FnGPDnGPDrgOf7BzcbHb8Q0wMnBTJ8+3MTvWeStUY/ouK1Z57e+FRjeSFdtbeJj/gCSEql+7duwO512R47rnnGD58OM2aNXPaRlEUvLy8aN++PR07dizVcYr96Thr1iwOHz5M586d6dChAydPnmT+/Pm8+OKLzJkzp1QHvx6lpqYWetENb29vUlNTC93HarVitVodty2W3EXkVVUt9QxpVVXRNE1mWF9j0u/XXlXv85xxX8D3a/HRbNTDnyO6elj/nbTW+Ng5QjPs/NakM80TUrGa9FhNubm5Ge5m3n8rAh9fA4qiuPTPoiMqNrvq9HPdhjMQl24n0OPKozlVvd+vV9LvFaOi+r2ilwOsLOkN3bp1c0xGO3HiBJMnT6Zdu3ZlfpxiB71r166lQ4cOvP32246ysLAw3nnnHS5cuEBISEiZN66ymD17NjNnznQpv3jxIhkZGaWqU1VVUlJS0DStwt801Yn0+7VXpfs8IQ314D50NwQCoKIjgET+Dm5KlocZc1YOHQ1n2BkSSJgh3WlXdw+FrOxEsuMLP2mFaiqtPAukQQC7jys0CrxyP1bpfr+OSb9XjIrq99DQ0Gt2rMJUlqD3UrNnzy63uosd9F64cIFbb73Vqaxr167MmDGDc+fOVZmg18fHh/T0dJfytLQ0fHx8Ct1n/Pjx3HHHHY7bFouFgQMHEhgYiJeX6/qbxaGqKoqiEBQUJB+M15D0+7VXlft81evb6b71HBqQRhCZ+OCJSmvzflY1bEqiuw/h51N4M6QJFksKtdKzANAp8PADwYSEeBRZ94BAjVf22vn7fIHypfDnSD0dwi9/sqvK/X49k36vGNLvlcfmzZvZuXMnEydOdJT98ssvPPXUUyQmJjJ27FheeumlUtVd7KDXarU6Te4CHGkAOTk5pTr49ah27douubvp6elcvHiR2rVrF7qPyWTCZDK5lOt0uqt6cymKctV1iJKTfr/2qkKfJ+1O4uDnh8hJy6HmwEg2/3KG0J93oVM1svAkC1/Hkpnemdm0O3yIZU1aYjMaWRmdwKkGnvy1LIu0TI0GsWZqRpgv2x8mHay8VUfbb+zsvphfnq3Cu9uhU+SV+7Iq9HtlJP1eMapjv1fGkd7p06ej0+kcQe/Jkye57bbb8PT0JCgoiFdffZXY2FjGjx9f4rrL5JlXKmGnFqVjx45s3ryZtLQ0R9ny5cvR6XS0b9++AlsmhLhepRxMYfmQPzn2/TFOLzrNX1M24v7LXqwpQVjwcrrwRJ7A1BTH/w3r9rF+YQIZFhW9qnHoQBYfzDh3xeO6GxVquFaNpeqMQwghqpmdO3fSuXNnx+3vv/8eTdPYsWMHe/fupU+fPnz66aelqrtE03znzJnDkiVLHLftdjuKovDhhx+6jAIrisJbb71VqkZVpJtvvpm5c+fy6KOPctdddxEXF8c777zDTTfdJGv0CiEKtXrKRuxZdqey4zWCeX9UWzodasDTK/7ArcD8mSTP3NQnDbAt3M6TaT/zWu/JpLnllp86YeVifA6BQZe/EuSYxjpWn3aufGzjqjMQIYQovco40puQkOCUMrtkyRK6du1KREQEAEOGDOHpp58uVd0lCnoPHDjAgQMHXMp37drlUlZZR399fHz46KOPeP3113n00Ufx9PRk2LBhTJkypaKbJoS4zmiaxo7OP+G+O4UMzwKX+VXAptf/f3v3Hd9WdT5+/HOvtmTLezsecezsPUmADCCMBBI2FMoOpJQOoC2l7BZKW75AWyj7B6WMQtl7JBDI3nsPZziO95a1de/vDzm2FQXIcGJiP+/XS69ER3eceyxdPffouefwbZ9eBAxT+dMXX2Ah3AUbUA0szy9snUV4a2IfTildytkbv+F/w6YCYDIp2B0//GPcdQNVfCF4do2GQYWfD1G5uHf3+flWCPHdTsSgNz4+noqKCgB8Ph+LFy/mD3/4Q+vriqLg8XiOaNuHHPQuW7bsiHZwIsrPz+epp57q7GoIIX6kKps0/jHPR2jObq5euIcEk4kaux3afcGszMto/f/ighwaiMVMkAaHlUUDigga23pwPeZwjkJWfdtdaWdOicduP7SphX82ROVnQyTQFUKc+IYMGcILL7zA6aefznvvvYfX6+XMM89sfX3nzp1HPHiCjGIuhBCHqLI6yP/7bz0L1nqpUVSKiusBcAQC5NfVUuWIodZuY1b/Ahb1ym5dL87jYWVGMs+PG4Ya6+CM4j3Yg0EAqiwWYm3hU/Hai09jR59M0pMMFEyIvjlWCCEOx4nY03vPPfcwefJkRo0aha7rnHHGGYwYMaL19Y8//viIx/Dt8KC3pqaGjz/+mI8//pi33nqrozcvhBCdQtd1Hvx7FSX7gpiAdELUZmcQVFWMmkbQYqS8RzLNJhNbMpJBUfAbVFRdJz0YZNZpo8kNhVhts/Jmv0JSmz14TEYaLWZ+vXIBb1/zE67MmYDuVsANH74WYvEVBgalnHhfWkKIH4cf67TD32fs2LGsXLmSL774gri4OC677LLW12pqapg8eTLnn3/+EW27Q4JeTdOYN28eH3zwAQsXLiQUCmG3f/f4kkIIcaLZuSdAyb5gRJlRVXly/Eh+umIDH44fScgYTkcY1Ozi82QrpXExoOtoViMjKxtQjSbS/QHKLGbKY8M5wLZgkIkze3O1qQh9X9u2PUF4arXGM2ccWoqDEEJ0FUVFRRQVFUWVJyUlRUySdriOKujdtWsXH374IZ9++im1tbXExsZy9tlnc9pppx2T6eOEEKKzOOwHz5mdn5dF/0Y3IUPb64szkyndP6KNolASayPJG6BXo5v4YJAyS0vqgq5zPeUUXj2U5peDUduWoceEEEfjRExvOJYOO+j1eDx8+eWXfPjhh6xbtw6DwcDgwYOpra3lrrvuYtKkSceinkII0SnclV4q19ayfB+YAwH8pvANaIquk1NVw0iPB1ecndhGF42hED1cbvb1zY3aTrXNRK9GsIRC9K9vxGcwUGmAW7OLSFkX5Or+Krd/Ezn02FX95AtLCHHkToSgd9KkSSiKwhdffIHRaDykOFJRFL766qvD3tchB72rV6/mww8/5KuvvsLtdtO7d29uu+02zjrrLJqamrjgggsOe+dCCPFjtuWd3cy7bzWhoI6qhbhQcTO/Tz+2J6eR3uQitd2wOWZgX1IC7xbmk1nXSJ0tclzvOF8QdJ1YfwBbMESjycSXPVIJBHV+/Ymf3b+xAir/Xq9hN8Ftw1XOyJMRGYQQXVtxcTGqqqLreuvzYzXs7SEHvTNmzCAxMZHzzz+fqVOn0qtXr9bXXC7XMamcEEIcC3oghPue2fheXU0wzsYzM6bxmSONvj4X1yxbT4IaIutnA1j40DpCQZ1kXwNnlCzDGgowfet81qTl8WXhODBHnkKz3R525/dg4p5SqpxmKmPCKQ49a6s4Y9t2dqfk02g2U2dRCRpUUtw+Ss0mygIqdV4rt41QuW2EBLpCiI5xIvT07tq163ufd6TDSm/w+Xy4XC4JcoUQJ7SGe75i8eulfDxgPKt7pOHabsbZtJdfv/ExNn84kbbildWYcnPwm82MqdiANdSWYDu4Yhdb4nuyJ6tHxHb32W0AhPCz69Ff8GWvQTj8Pibt3EBANXD15X/GZ7K0Lu9VWwLckMaiXUGmDZBhyoQQHedECHqPp0MOet966y3ef/99PvvsMz788EMyMzOZOnUqU6ZMOZb1E0KIDrfgk1qeHD+Oz/vlt5Y9+O7q1oAXwBjSyGmoZ2NqKomexqhtlMYE2RHjoMDVDECt2cQXmeEB0yfvXo0tGGDa5hWty1tCQcyhQGvQW2E0UGM0gALoMK9Ygl4hhABYtGgRTz75JNu2baOmpqY19WE/RVHYsWPHYW/3kIPevLw8fv3rX3PLLbcwd+5cPvjgA55//nmef/55evXqhaIoUZUSQogfG13X2WJP5OuinNYyVdPpUdcQtawxECSoqtRbY0jyNgHgNljYFZvOXnsab+RmUdhQQ7rbxaycAjRF4aIty/jt8k/wGE3Ygm1B9LzcPqiKiZH9THzWaGSx2wgtQ5yh66Q7Ja1BCNGxTsSe3v/85z9ce+21mEwmioqKyMnJ+eGVDtFhj96w/866SZMmUV1dzYcffshHH32Eruvce++9fPbZZ0yaNIlTTz2VmJiYDquoEEJ0BEVRCNhM+FsCTrs/wC/mrcauR385LO6Vy3Mn9eGajZ+jA7XmGD7LGUPQYGJgpYv7v11KrTnIw8v/zcbETOxBH3mNNQD85szLmL5xOYU15XzZaxD/b/Q0clwaky9Mon5jiPnzAu0rxYI9Gr85Hg0ghBA/Yg899BC9e/dm9uzZZGZmdui2j2qc3uTkZK677jquu+46VqxYwQcffMDXX3/Nt99+i8lkYuHChR1VTyGE6BBr9oV4q6AnFl8An8XEqTtKyWhyU5qciM3nJ6+8CpfNytL+hTQ7HNyyfCNBo4o9UE+Gv4rLdpaxNGUYW+N6EefzU1DmwoOdfrVtM0tUxMTxr5PO4tFTzwPAFApx0r5aPu4dzwyTkSp39Ji8S0q0qDIhhDgaJ2JP7+7du3nkkUc6POCFDpyGePjw4QwfPpzf/e53fP7553z44YcdtWkhhOgQm3b6GPdSkOaMFAgBQY30pubW17dnpbMtKx2vzQqKgknTcFnjqDbaCAXiSKQae8jLqeUL2ZCcgzFgxm8yspVh5LKZGOppMMTzr6tnoJlN0JLxFTAbmJufSq4TTsqEVZkG/r0iMvAdminpDUKIjnWQH7B+9LKzs/H5fMdk2x1+lo2JieGiiy7iP//5T0dvWgghjtiODc2c/89GmhUVDC3fBD6N7bGxAMTXu8nfUUHu3hpo6R0xBEL0XrmX7f4BLDOczDz1NLxYUQF3rJ83Rg7C7A/hw85WhrGSSWzInMB9jw1nxTUGnjgNzugJSXaFs/IUPrvQgFFVmDHKxMSebdMLZzoVHjnHcmCVhRCi25k5cyavvfYaoVCow7d9yD29DQ3RN3n8kLj903AKIUQnu/stF1vi285JGU3N+FSVxVnpTFmznZdGDWRNj1RO276Hmas2oGoaHp8Jm7st99atxLJd6cMAfTX7YpMoj4tleV4W2dWbAdBVhUH/Hs/V7/t5bU34hF2UrLD4Kiu9ktr6GGwmha9vtLO0JES9R2dCTwNm4wnYJSOE+FE7EdIb5s6dG/F8xIgRvPPOO4waNYqf//zn5OfnYzAYotY79dRTD3tfhxz0nn766Yc1Q4aiKCxZsuSwKySEEMfCKpeBiyv2ku3yYAwGSamrxxwIsik5kWdGD2R3chzZ9Y08+MnXJLvDM63tVRPwKpHDiDUqcaxMK2B2z6EArC7KZnhZFQCJcQofJaTy2lf+1uW3VodnXPv4KmtUnUb1iD6RCyFERzkRgt4JEyZExZf7RwO74YYbDvqaoihH1BN8yEHvlClTInbs8/mYNWsWY8aMITk5+bB3LIQQx4LmC1H/zg78Jc3ETcnBNiCJQFBj/J5K4vwtebQGAzWJCaRVVJHe5GJ3chwGTWPmolWtAS+ATfdHBb3remTwr7MvIdjS8xAXDLKpTzb5eyqI37SX/+2OPhEv2tPxP9MJIURX8NJLLx23fR1y0Hv//fdHPK+vr2fWrFlcddVVjBw5sqPrJYQQh03zBtly6ge4l1UCUHrnYvL+PYmPlcS2gHf/sqqK32LGHggysKaOyfuqOGlfZcQyCbqbGpMDNRC+4N+Umcj/mzyMkCF86hy6ax83zVmKzRfAFNJwjMtgaKaB8F1ybeQmNSFEZ9BOgJ7eq6+++rjtq8NGbxBCiM60dKufFR+UkbgnSK/9hTqU3rmEldeejpnw5GftqZqGUdc5b085BmBvahI5ldVtr6Mza1w+bw/rj0HT2Z0YC81BLl6xmWsWryPRFMLo9WPQdKpSncT+bTxXDzPyzoYQX24PB77pMQqPni0zrQkhjj896qzXvUnQK4Q4YXnr/RitBh58t5m5XzWQ5vWjnzaMzJpGbJpGvd1GQkMzFruBerMZsx4eC9ccDOHweDEHgnjMZvZn1u7ISifW7aH37lIUdN4Z0Y+nTh+F39hyqtTCeWanGxpJmdGP8fEDcfj8JDZ52JaRxPgSldlj4NTeJnb4DNhN8KdTVAZnSO6uEEJ0Ngl6hRAnnLq9bj6+ax0Nq6txxdtZ1DOfZK+fBG8zF2yYgznQSI0jiZU5I9iZnYZhqxuzQcXfMkqj32DAD9Q6MgkYVDIam8LDlCkKq4t6sqown8U5qcwqyo7ccVDDiEborrF8rpjwLNDwWExUOx0AfFOic8+8EA8vbpuS/cL3NRb/VGFEhqQ4CCGOrxPhRrbjSYJeIcSPTu0+L4vfL8dVE6DP2AQGndZ2s+zK+Q288EQpa21peIZnkNnkYo/Vis1i5hcLX+OeCefxbV4/FF1j2uZV9Kuspiwhnohzv6JgIkBKUw3bUvJIaKinwelEU8M9sm6LhYIGD9vqXOxKaJlOXdfBqBKMs/LzL/z8fWr06TPPCa9s0CPKQjq8ukFnREaHN5MQQojDcNRB7+EMYyaE6J62vrqT7R/sw5/nZPDlOeQPix7D21Xnp2StC7PDwHv/txN3Y5CQqrJuUQPbVjVy4W964mkO8eKzZbyakkKTMRygrnTG0M/nY0B9Jf/tP5xv8/oBoCsq7/cdTtzK1Tg8bjZlpJDs8RHfckNbYfVubp7/Cl6jGWvQj9dm45W+47n3tIupt5kZWlnLb+fOwXn3eH66OgYMamtSsB5jxu8LcWq2yty94TKjCv83QeUP30aP1GAzHYNGFUKIH9BRPb0vv/wyf//739m0aRMxMTGMHDmSd999F5vN1iHbP14OOei97LLLIp5rmoaiKPzpT3866EErisJ///vfo6+hEOJHq3SHG12D7EL7dy6z7JxZuD7biw2wKPDxrApOe3IY/U5ObF2mZEMjsx/bRahleFtNgYDBSBBYlRDHR5uMfHzNJs43NLHGkNoa8O63y2Rixs7dPD+sX9T+i+2JnLl+F88O70PIoDKsoo7hVQ2ctHMlANZgeKdWj4cZKz/npWEnsSi2iEWZqVySlsWAIfGwTovcqKLgUxS+vsTAZzt1Sprg7HyFvDiFarfOzC/alo81w4zBktoghDj+OiLofeihh/jrX//KH/7wB0466SSqq6v56quvjsmMacfaIQe9zc3NUb266enp6LqO2+3u8IoJIX5cNuwN8vkaH0mxKmf3NfDuI7vZvbkZgKwCGyNn5IDVyOh8Y+u5ou6bMlyf7W3dhqpDr81lPPVEOckLA1Q3aAztZyawrIJQwMj+rlSHx8fYzZv4/WknsS4lEV1V2Kg52FxuwG+PDiD9wPRla5nfI5GNqZF5uPlVDUzYuIdLF2/i9bH9WJUazx/mvMnQ0g0HPc6zt61mUU4RAP/tMYQZCQpWg443FHn+O7PAgEFVmFoQWX7TEAPpDoU3NmkkWhV+MVylZ7z8IiaEOPFs2bKF+++/nw8//JCzzz67tfzCCy/sxFoduUMOej/66KNjWQ8hxI9RMIRvxW5eL3Hy4FydYEtQ+mrQzalbq3BqGgHVQP1aN9/+rAKAtxPs/OLZweSmmXBvip6+3OoL0qAbKd0c7mGtLPUyzhTZkzp29WZ2Oh2szUwl6LSiGw2g6yy1mehV6wrn17a7CB+9by9xuovffbOABTmFlMeG0yfyK+u5dPEmAM7cXIKW7OTDnhnEeGu/85CLE1IjnttN8PhEAz//Sts/eAPXDVAYkf7dgey0QpVphdK7K4ToXPpRXm+/9NJL5OfnRwS8JzK5kU0IcXAri1l44wf8ve8UXFYvvYBykxEvcMrmEvxWC00mE4qmY/d6WkeDTK1z8+LPVvPAuyOJn5iOroDS7t6u6jg7TQ5r6/JBgwG/oS1AjG12E9fsxpcYT7yqU7U/lUFR0BwWtod0LP4gmqYTUEBV4F9ffgJAYU0dy594ktd7jUYJqozcUYaxZTrL2vgYkrx+TtpXQ16VDw0jKkF02sbvXZbZkzcGjm15prO0QmHKWyE+usjA5DwDc/fq9EtSGJUhPbdCiB+/o52cYvHixQwcOJAHH3yQf/7zn9TX1zNy5Egee+wxRo8e3UG1PH46JOgNBoNs2LCBqqoq8vPzKSgo6IjNCiE6kfem/8fj/a6h2RLO2TcAGYEguD34bFa8Fgv7X2gwxVIDZNXWkuhuZMLSxSzvN5d5p4xl79i+nL50K9ZAiBqnnbdOG4zfoGBp6dy1+Pw02M0oioZFD8+rviUlBUtIoTrOEVWvXj4fu1UjAbMBSyjEw1/PIqepsfV1ezDApZtXssmW1xrwlqXFU5yfBsDQ8gqyGrxUm/L598mnM/L8LCaGdvB0RRy/Mg8j0DLbGoZwRP1Zsc7H23WmFUmaghDixOfz+fD5fBFlFosFy/5zejvl5eWsWLGCdevW8dRTT2G32/nzn//M5MmT2bZtG6mpqVHr/JgdctC7fPly5syZw/XXX09iYtsNKKWlpfzmN79hx44drWVTpkzhvvvu69iaCiGOm+ZX1vFtdW5rwOtRFHTArod7Wb3myBnGFCBgMhJSNa5c+QHWkB9KwVZdy8wLbmFV7yxi3H7sAR9FFZUolTr7UpLJL60iv7wSU1+VreUOXh3Sh5uXraTeZsMaDJFe76IsITZiX30aXJxX00it2Uhas5tTysqi6v/MyCHsSMuhyOUHo0rd/mHHgP77SgCwB/yMTPBz8sw+7PX25ZbnQmiafuAMwgBsrtWZdnRNKoQQx93BbmR7+OGHeeCBByLK7rvvPu6///6oZTVNw+Vy8fbbbzNo0CAAxowZQ15eHk8++SR//OMfj0m9j5VDDno//vhj1q5dy29/+9uI8gceeIDt27czePBgBgwYwKJFi/jkk08YPnw4U6dO7fAKCyGOrboH5rPsma3856QxhHSdYouF5pb0A7OmMVbT0BSFAzNWd8XYGL15H1/kjsUW9DG4agu9q0rJaKihLC6JmEAjp25quzjOrG0gxuVHbUl9yK9rIkbT+M20yYQUhdG79nHnp/NYVJjNF/16URtjJ6ehmT41DRhDGlmuAKaAxqqMXlh8Hv4zdCibUlMZUFbBhLUlXLFsJ5f//DJG1DRib7nLOK2hlskblrfWYczYGEwmlZ0VejhfV1GAyHF2AU7LlR5eIcSJ52BB75133sltt90WUXawXl6AhIQEkpKSWgNegMTERIYOHcqGDQe/GfjH7JCD3g0bNjBmzJiIsl27drFq1SqGDh3Kc889B8DMmTO54oor+OSTTyToFeJHzL+5hpo/Lsa/tQ776Tkk3XMSngV7Kf3rMm645jJKnDFkuX20v8XMr6rsjrEzbtl6tiXGsTkzBbvJCKqCuakJr+6kvCUjYU9sBhdun8WdX7/BTefOpF9JecT+FcBnMWD0hvcwp6gHK3LbZnBY1DObgeUV/OmjOdz96VzeHzGQ3jU1LOrfn1OWbyC7qga/aqTSHMu0K69hZ2o8AJ/06cuK9GIuWrWZdakJ7I61U1hRy2XrVnDT8vmt+bt+m4X4K4cBMCINEqxQ5yWcx9HS2xtjgvtOVmU2NSFEl/FdqQwH079//4hf8tvzer0dWa3j4pCD3pqaGnJyciLKli9fjqIoTJ8+vbXMarVy1lln8eabb3ZYJYXoLLqmU76uHhSF9IFxJ+RkLHpIQ399MSzaAYN7oFwzDs2nUTL+f4Qqw8MN+lZU0Pj+Dvxba/hgQB9KnDEYQxrptU3sS4xMLwhoOv8b0Iu5vXpElP951sKI5yHVwNb4XL7NSWOz1cIvK2pxOaJPtLXxDhpzncwz50e99m1BLr+bswhLKMQ5azdTa7Fy4az5pLpdLTvxsa5HcmvAC4BBYfbAAuqNRp5+/hN+ftEEViTEs2bcBLbFxXL+lo00x8cw/fVzUNPCx2YzKbx1rsoNX2jsalTokQB/GqdwUZGKw3zi/c2FEAKO/ka2qVOn8tJLL7F69WqGDBkChOPBlStXcuutt3ZADY+vQw56/X5/1JXBxo0bARg2bFhEeVpaGi6XqwOqJ8Sxp4V0tnxbRcVWFxl9Y3EWhn/edtf4eP/ny6nZHn4vp/RxMu3J4djizd+3ue/l2e3CX+nFOSwRxfD9vYf+tZXogRCW4Uc2f20ooFG7qhp+9TbmxVsIAlsMDTT9ajf2wjgSKn20P5LglloaVRtbnCkAPPrGHLbmJPFuYt+I7cZ5PMwuyo3aX43dQrzPH1E2P6sn94ybyMRte7E3+yOCXh14b1Q/FvTJZqy1Am2fgQP1qG93g5rXx5aEVIbX74lYRjO0O6lbDeHhHIDlg/JJVKFfbQPrM5IIpth5LnsSz02eyANjFS4cGHn6Oy1XZccMhUo3pNjAoEqwK4Q4sR3tkGXTp09n5MiRXHTRRTz00EPYbDYefvhhLBYLN998c8dU8jg65KA3PT2d4uLiiLLVq1eTkJBAenp6RLnX6yU2NrJ3SIiOtnqTj52lAfoVmOmdf+iB6JblDWx7YzexHh+Dbi5i7pulbPm2OvyiotP/4hhGX53KH5+qZGconqH2ICluL9Ub6vn27tWcfEd/YnpEjypQ06zx/oYgdhNMH2DCZmo72+iazsYZCyl9aTvoYM2LYdjHk4jpnxC1Ha3RR8V5b+P7NhzcmYemkfLJJdRhJi7BSNATJBjQiEu1AuAL6Czf7MNmURhaaEZRFEoWVPLVb1bgbQpiCGVSFG8ipb6JJiUWTVNxbWliX1w6CTSS19DUuu9qk5NhFbUkzlvO9L0baKy2sKFHMltSw4FwrM9Pn/Kagwa9c3OzKKjb3Prcp6o8Mmocw0squWjNdv505mgMus7JJWXY/UHmD8xnXu8eqGhUOyyUJjmwNYXwGA1gUHB4fPxi3lLs1JFICUbdh622hBBphGib13dc8R6cHi+NsbbWgDf8t1T4cmBPMCqR4/qqCg8sgSsH6FGjMaiKQnr0n1YIIbolVVX59NNPufXWW7npppvw+/2ccsopzJ07Nyr2OxEcctA7dOhQPvnkE6ZNm0avXr2YM2cOJSUlB83b3b59OykpKR1aUdE16LpORXWIeKeK1XLkeZKP/buOLxe0zQR4xdRYfjrN+YPrzX2nnPJfLCCjrA6AtU+vpaZ3GqS2rbtxTRM3/dNNqTcRihL5vCCH+2cvJruuicqPm3nv0z0M/d1ABszsTUNdgFlvVbL5m0qaKz3Ums182SODu/OcLLzFQVps+Bgr3t1N6YvbW/fh3eVi7vlzWX16H1IyzZw30EfqtyvAYaGpyd4a8ALs3uXj6VuLqdNMGNCJbWomxusjIVZh5N0Duft/Hhqaw73TRdlG/nFLHF/9fhXepiAAIYOBzZlpJLqaidPcVNjiqMqII2RQeXTwcH65cAl9K2u549xJLM9KI7Opkd/OXYQCxHl9vPzmu6xLT+Mfo4ezPiWFQeWVxHr9NFkjLzSWZaVh0jSuXb2CrIZaAnVO7mhcTmOqg+qsOIZW1/F+r1yG7KykOT2Beb0j0yN8FiNDyutZm51M0KDitRtY0zOZcys+QWm5uayHdy8Nqptqrah1vZDRyH/ef52fnX8RZe1GlolwwE98mg5zSqKDXiGE6Ep0jv4cl5yczCuvvNIBtel8hxz0XnPNNXz22Wf85Cc/IS4ujoaGBkwmE1deeWXEcqFQiLlz5zJp0qQOr6w4sW3b5edvz9ZQVhXCblO45oI4zpkY88MrHmDn3kBEwAvw348aGZMDhUMjA9/q2iA1Hp0XFvnZUuIn7/M9XNwS8AKouk763jrK0uMJmEwEzAaCdo3muiC0DMtl9wfIrGlsPXXoGqz66zqcK3fzkicNX7mHJLcHG5Ds8ZHX5OIRcz9ufsLLv38WT2yCifqFVVHHYdhez65BQWLXbiHp3rfDvZGAyWhmzuBzIGSk2WGj1umEBh9Gu0rQYKDSGcO7hdnYgyE+frKaBocdRyCAPRhizy4j/2/iMmz+YMS+dEWhwW5FCaisHZ1P0Bz+6E9urOet4QPx6yG+6pkDus4QdzWf9U2nd3UVPRrcKMCg8gp+uXwNG7KyGVm9i0c//ZyHx5/CzqSEtl5URWFRTgbNtiH848tXmFOUg9VsI8UfHg9yWGUNWU3NjFuxk+cun4ii6+E7i0M6BDXQdTZlJBBsSfsIGVSqUmkNePdzarV8k59FWm0T9bEOlvfuBQaNf330Jhdc/bPIRv6e832fRAl4hRCiOznkoDcrK4vnnnuO559/npKSEvr378/1118fNRHF8uXLiYuLY/z48R1eWXHi0nWd/3u+lrKq8G3xbrfGC6/U0DvPSM8lq+Gut6GkBs4dCs9cg5LixOsK4qoNkNTDGnED2TdrPAAouk5OXT1JzW58RiP/u30nGeOSyampoafi47m4IraUgwY0BYMEfT68TYGIeu3KS2Vrnyx0NRxahVSF+FCQn5SW8kJBLn6DSmaDC4MeGXjpOjy02cqLQ7N4cOd60HVSKptwNrjx2M0MzaxhvjGVy+7ax/B9FfTcVEbmQdplq8HElSWrIrZvC/rpX7WdL/qdCoqCAphDIeJdzbyXk8X6WEd4RAW7kaGKmz71TaR62wYaL0lNoc+eUjQ1sifd4fXzzdABrQEvhAcq6N/s5m+D+2IL+PjirUc5pXRr+G9ksNBEPn7Cv/c3xMRgD4WoTIjnwi1ruXDLWnwGA3VWG1/k9uHZMaPYkpnMmvRcLrnwVi7dXkrR3sgRG9I8XvbkJmANhiiqamCLzQ5uHyT6URo8eJIjL4KqHNG9936DmYUD+xFSI09fo/aW8uDn7/OXiWfhsljDAW/7JmiX4tDT62Vc1uFfcAkhxInkaG9k62oOa0a2fv368fjjj3/vMqNHj5aRG7oJLahRt6uZxoDCkgUu/H6NUafE0TvRj/7UV1DegHLBcOrGDeTTr5sorQj3PsZ6PBRU1oKi8M7Mnfxm9ksoWkvQ9+5ymueW8Mm4c9nuMaNrkJBp5eL7i7Bn2jjnuSaqFlVRYDGRX1tHVmM4H9VU30haWT0xa0uothr5tCibnXnhTRbuLaOgtBwFsHjagl6vxdQa8EI4RjJoGmgajkCQokYX6xOc7El0ElLA0C7uVTSNDJeHkMFAQFUo3F5FWkX4pqs9ibEsy82gyW7hU+x8E5/An0uq6Kn68GrhG7l0IGRU6F1WS6I3stcawG22Rv0kb9B1Ggxq20ksEKIcONUbObOOZreiBkNoJqV1G9k1tSwc0BtXjC1qX/H+AA6/nys3zm8NeAHsIR8qe9mn9mNLZga1MbE0WS18MWg4fUtLcAR8WEIhEpt9jN9YjsO1nJuuOguAAU1erNHD3QIQG3CRU1ZFlcnAluS23Fw9pKOGNLR2N/i9N2AUldZEUr21rWVfFp4cFfCaggGcXhe/+3YWNy6ZR8+7HsJlbXesuk5BjQtHIESML0ieGgIk6BVCdG0HG6e3O+uQaYhF91O2uo4vfreKmnqNnbmZ6C29ikvnNnLthi8Yun4Va9PzmbMlge3JPtwmJwXNXkIGnYKyaiyBcPA5sHZrW8Dbwl5dwbAPFlMzaii1zljq9nn56JEd1F7Ui3nFQWLiHPz6s2XU5LfcBKbpFGyvJKWmuXUbCfUe/p2Wgq4qFJSWoysKrhg7jU4FqzdISlUzTbG21oB3PwUwajqmYIgJu/eiehJxegIEVAVTIISmqqiaRm5NHcNK9lGalcZeRwwTKtpGGXh9XH+a7G2jFLjNJmbnZXHuyvVUqTHUGmLRFKhPdZCiBNiYnE//yn0R9dgXm3bQdncZIz+yzuZGkprqqYmNby0rt1lYMWYIlkCQoSXl1CbFsWBgbwbuLcMYDBE0RW4jp6KKny1xk+srjSjXMKCrfj4bNAjNYMBnMLA5IxWrojAvewhDdhajo+DBCihk1reN2JLk9eO1WnBbLdjbBeUFdcWcWrIQr3IeKxOckBx5I5/W5Ic4S7iHW9M5c/VOvk2YQM/GnViMfj4bOIIXB49lSG09WZ62MSLP3DwHe7ARHSOJKXZeeeMJZlw0k+oYJzFeDzOWfMv21MGty084XQJeIYTobiToFYdN13S+umMVnn0e6rJSWgNeCP+CPDttAJ9mDmFXchYAWTsrmLR+NTZ/EI/dzJ6CZKosBgIWCxlaIuyN3H4IIyo6PUvLqXWGRwEp29bM8pf3clZNEw5d472hBfTxNJPu82H2+UhuF/ACxDT7sTZ52JGVzLKCXJJ1jVBLsLc7K41PctIYXFLOwGZfZI+qppO3rQzLMi8pvkbu9FXiMltYkZZHn71VNJpsGAIaVj2EDhRW1rApNzsidXRfQnRAVRof/pk+UWumyuykuG863hgzCYEA5Y58FmQ3MaR8G6qmU6enklbqZlO6grldPus+i4UaS9vNY9ZQiJPrmwgaDKi6hoZCrcXM8oS41mPalZxAhtdHrtsbDuhDIcw+PwGTEV1RUDWNftv2MkZrZneq0tL+JrykoGEmpENWczUZrmKWZ6ZTa8mld4OLqkQn7p32iGNcWJDV+v8qq5GtKU60nGRG7C6noKqegtqdTN71FQZ0erj30XdfKrPysyK2gT+EqcFHABjsamLUhlIc1TrVoVwCJgNv9h0JwOrEeEp8PmICQaZv+IYJ2xe0bqL5p2dS9k0DO//8c/bGJ1HuiOPOC25ibIKZJleIcSPs/GRaXNTfSAghuhrp6Y0kQa84LFpQY/W1C0icU0oiEFvrZ/EYBwGzMZxCqetUxiZSbw8Hq7GNbkavLMahuQkoJnBD/uZyKjJjKM13st5axEm7VpHmavv5uo5Uou5A0nWG7Kvm5YJcdiXHg6rwBdCnpp4blm886P1KA3fvY29qPNsyU/G6mslwh3OBrZrGgPomPhxciHFDMX0b3OEgUdfpuW0flowgoFBtisOga+T4q+hVV0ETMSh+BQ0VN0aqYmMx6CFivR72psWTXVFPs81En4pqVuZHDuUycdtO9iQ4+aR/X8oyUiisa8Ko6wTMoPlUVmQOocmXRl5VDRCeonfKvBU8fd4k4vx+7IEgQ9fvIDs9gb3OeACml1cRp5pw2Uwt6as6+yzmqLSIWpORVLMJt8mEPRDAHAhiDgTRFIXtCXGEdBUXdtIr/dSTihEjessIvgYdJm1bzbSfXMk3+b0BmB0M8VOTiZS6JnrurkDRdL7t3YPdmTF89p8XCZgULrrmWvx6+GJoXZKTny9fzm8WfIKhJYjXFBXdrILZAP62Od+cZp1L966ib087Nzw0GP3q4Sw7czbBGh+mQAhvu9SHGouFGosFr7XdaawgnQXnncnNsTHcPeliYv0ediekAvD4Tw2MyZKZ1YQQ3YcmMW8ECXrFYdnzzBYq3tzF3uwkyjLi8ZmMeKxtgZaqacQF2/Jmi3bv5ST/cmJ1NxoKJYZMtlIQ7h1WFAJGEy+MuYRB+7YQ523CXqeRWOcnpCjsyErH6A8SX+NCB77plcWupLiIsVg3J8XzUZ98em8qI6HJ01quoHPm+k2csn0Hj06dRF2sozXoBUj0+TH4g8xOS2V+UojMZg9XLtlEcmUTZLRNklBnjCHHX0UopEaN8m1u9rM+M52cyhqK85PxWkyYAl4mb95FldPBN0U5KOhcsGYTvWrqOON31xE0hred0djMDUs2Ywlp+M1mTP4AxogJfyHB28w56+fisxnQXQ6MIZW33/4fazJTaDbb2JvfP2J5BdC0UNTfTAlpGDSNLRmp5FXX4PT48BmNbElNojTWwQNXTiHe48Pa2Mzw3YVctmVe1HaLquv4pmXCNJ/RwLeZyWR4vGzqlc4HuVl4jSY+feUpMlyNXHPZ5fj9hIe5aDE3KwVLKPy+8GMlv7GERDUFHGPAooLFCPFWGhUDf3/9X9gDfurLpxL/1HXo30znj3/bh8tmpsZpI765bQIMgwpn/vNsWJgEThtcMIYCvwVlTpBaRyy1jvDFl8UAvRLk7C+EEN2ZBL3isNR8Vc66AT3Y2C88xqqqR44CqKkqxowYaMk2mFi6jFg9fKOWik5uqJRqQzylAQeGQJCQyYjfaGZ5zkB0XWfIpm3sjFOpGpqL1hxgizme0p65pNS7GLe+mLcG9OTA+6PWpiRy3wWncO03axiwtxJrKIgdHyoQ4/Uzbfk63hg/KmKdJoOByzftRkdhbVwsO50xbEqMo7C0JmI5kx6++a4kPp60djfBFSc7+f0F46iIc0BhDqPLqjgjLoZem3aj6jo/XbKBy5dtJM7jobCmmgt+9ZPWgBegzOlgdWYSo0uqWvNXU+ra8oJVguSxmt4bw4G6hsL8pHEUx+QyqXgzTs3NI7l9o0ZoSHJ52RMbg6qoLevBOeu2sKswn7kJTv6blgSAOaRxmqsZp6ajmYw0GQxsSY7nuRF9Wbncyd++/CRiuzsSkyKeV9isVNisjNy2k7e/XICq+sjQwvVfl5zOgX+krc50vMQSxEozKWS6K5iwawMPcCEY1fBDUcitrcUeCAe1+vNzKbYWkeHRqEkoYktWMoqmoysQ6w5QmKry66kO+g6xwNCzW/dV4IA7T1L586Jw0K0Afx6vkmyXoFcI0b1IekMk+a1PHBZLoZOthS2Db+kHH/Z6u8dCbcvP0Ln1ZVGvx5hcKIpCcnk1Jl84kPQaDGxISeKJsyby1ujhXPHHIr5NzGBnZhJ+s5HS1Hg+HTeQHtWNUdubvHMPNTE2Zg3oidEYIA4Ppna9pul1jTTrGiHCsViVxUT/mkZy3V7y3B7OLaukh9vD7L45uK1towkouk6mv5ZSp5P7p46n0daWT/vYGcPCAS+AorAkM5XNMQ60dqMKGDWdZouVlel5lCRF55DWtdzspmgaWTtq0YJtH8d4KrAQ2XOd6q7G6NdZGdebhbH9yC+JHA4sqCh4nTGYUTAQHo4sNuBnTNVGqnSdUnPbsfXz+0FVCakKQVXFa1DJ8vpxBkI8M/Ik5ubktS67O97BVz17RezLoMP8jFQ+LconoKoY292MmF1bH3Wsuq5QofZia2xfyhyJhDAxYedGfrHgU9RAEHTIrq/lnf/+rXUdcxBcj68g+MwaXn/iHUZsL0VXFSqSHZw1LYFP705k8hBL1L4AHhpvYMMNRl4718C2m4zcNip6imMhhOjqNJSoR3cmPb3isGT/rDfBu1uCLUVBP0jga/F5CDXvw+NPptEYQ5K/IeL1alv4J2erx0/+pr3Eun18MLYf9UaVYZt3c+ayzcxan0T1uBER63ktJiZv3csLyW0pDhO27uTB9z6j1B5PsNmC4SAfaIPmJb1yC//r0Y86u4ML90VOFKEA/RtcfJ6Rwuen9Ge4pYyQCzSLwoKYPB4dPYRfL5zDWM8qykjHi4UNmdEzfzkaq7FbGjFVqXisJhQd7M0BdvRLYFzxdr7u3Sdi+aLyOjYmxXHKzlX0qdtDHck8ctYoetY2MLHcS9qetmm/19kHs8NWhDHUkhOLmb4bS0ioc1Oalsi2Hmk0WS1UWswRV/Zek5klOQVY6l2QHA+AUddJD0amQdSbTZQZ1daLhat+cgXnb9lIcXISY/asY+ayb3lx2Mn4DQZi/UH6NrlxahrexHj+cMU0bv1wNnEN9ZgJ8KtF8/iqZ2HE9sfW1/LwmWcxr0cWbpORQVVVXL/yPf494BS0EBDU6FdawqDykrb2pJE4qqgnDUNI419bVvPVtT0YnQGTcn74er1fskK/5O59ghdCCNFGgl5xWJy5DuzZVtyl4WGoNMI/FyiEe1EbjQbO3rqUn678jE9iz2O7IZ841mEkHGRVGROoMKfx+kkDmdcri6DRwKid+1jaOxuA5fkpFO4uJ2dnPcpJetSQYgOqqrll9WZCPg8XrlxHQUuvorlZJwi4sWAmhA1/eLQC1cW4pnWc+vnXuIxm7jj5CtJIwG+PHHkAoG9TMwnorM5LJ6CYcfpDhEIhHv5yHjOXf44BnQJ2ATCkYh8rM7Ij1h9Tvpm+FeXUxcdSaUmhR2UZgxo3sKqsL1kNML9HT/x2Mw6Pn8vmrOeybzaypDATq6kJp6GWEksmKY1eHjljLPNLkjj9P8sACGJgpzVyEhgFqI2xk15ZhxrQWF6UG15WjQ7y9joTKapp4ov96x6QerAx3sHu2HbtEdSodcTy/8aeBECD3cisZ/7Mjd/s4PIZlxKj6cRpbT3pAYuZOy+bwuOvvEvSyfGc4fBzj2sb/4zpiVdROa9AYWRTE0/2ym9dZ3VaGr869yaaLDbUlkD7y4JBvN13FJdvWNS6nLldb3eC28edo+XHKSGEOFSS3hBJvkHEYXl8foAXtFi22q14VYWgouAyGfHrOn6g2mol0d2IWQthD/ipM8TzjX0Mq839WGoZzJKYITQ67NgslvB0syqtAS9Ak93CP88bjSvBRk5dfcS+e1TWYtFDZLrcXLZmU2vAG0mhHgflxOG2+ijUVvFVbm/6XfMgsb96hjXpGRSW745YQwdiNI3RDeGJLoy6TpndhtXjZcC23fSsqoiake2xrz4k3tMWkF2wdSU3rJ9D76ZtrMoZyKbcQr4ccQpz007GU5pCU30hhdsrKdxUxrsPvMUVczZg0HXGbi2l1p1NWaqROEcpA6pruGPWQuxuA7+d9BPK7U78qhFNif6o+i0mdhak0Kt+b+sUxnHtenCt/gBjduwhtslPWaqT0dV1KLpOQFVoaDkcl9EQGfACGJXwo0VCs4sZF17PxTdfTGOsmepYK/4Dgmu7Dm9cOYEe71/Oaw9cS9N5A3jpKgeeB+z872o7K+ui0wsCoeiT8brUHhHPnxh/Gn+68FTW5qQRf3lR1PJCCCG+m6ZEP7oz6ekVh+XNNQECqsqiBCeLgOF7y/nHe7Pxmk28cvrJAMzNH8L5G+eSG9zJNlMfQhipNKYAYPZrbElLJt3tY2TxPpYVRE/OWxtno7RHAoNLy0hxNVPjsOP0eBm0cRd+pw2Hq5lGqxUI9zTrioJTd+PGgo4SHmRBV1FtXqqUWKZPuwWPKZz7uSCrFwt79OIvCxcS74ddKen4TCZiWoLGgKLgNar4VZXsfZUYNI0aaxx+1YC53cgII8pK+eKZN6js4SK7uY4hleHBho0hPwPKNrEwfxQoCusLChlVsZ3eZXX89a25fDS4AFMocpSGgbureWzaVN5871GW9sjmqYkTqI+1MT/Qk/876Sximjz8+dMFZNe1Bdk6ELKr+ANeZl40haDdRqHLS8ikYkUjs7KW+z76GmfLxBCrc9K55eIzGdPgoTak89tXv2Xl0Dzm943srQ5Twg1rAJvXx1c9B0YtUeOwMG5vTetVs8tooG5SEed8qDCnJHx8f1+hc1U/ePkcI6WZia03N+5nPkia7SnO8E2PwYRYbptwMU+MnQzA+6P78dG5Bs6OXkUIIYQ4JNLTKw5LjFUBs9qaU7siO519MQ4ya+tJbXRhCoVYldWbR0++jHhTGcmhqqgs2z7by2kyKJTaHaTXNUftI6vOhUL4J/yshkYG7Ssnr66ekNVAXI0bBdiTlMgbY0bwy6sv42fX/YSXTxtDWUYMXpOBkKoSMqiUefOZnd2/NeDdT9fgrrMncPKmVZyyaAM11vANam6jge3xsegoNJlULL7wKAJBg5F5WYPxGsI3gvkUE5uNPbEEVc7eubE14G3dfrsjDpjbritjvQFifAEOVBdjZWtSJjsSUvntuRfiM5lwuAN4jSZwWnh87idcveMbenjLMep+ms0q+Q0VNBg1br5oCstzslidHMc7fTKYm5fM6pxELly1vjXgBRiyp5ypW3awIimWmng7H4wromdZGdOWrcN4QH6vNRDkTyl1/H10IGrM3/1cZiOVjnC7BlSFLfF2eiYbmFMS2SP+n43w+LIQaw02gob229L57VQ7yRYd/CEIaVw31MDZ718H9a8w4+XneWLsWa1LhxSFx1d+x7zGQgghDkpTlKhHdyY9veKQvbJBY16jCeLCEzngDmJu8rG4fy8aE5yMXL+VoKKwPTmRz/uM4+uikxi/Yhv9t0VOsRvr81FnNXBGbSO6orDEoLA1KQZd0zE2Byi22ltzhVtpOkZfkNR9TaiazvqiTBb1acsRXVGQR/915RGjCKh+BVypBz2WoMnE4uyefNqzL+/0z0U1h4fMSnV5GGnysj4znqpYO06vn7KEePYmJbAnNoUvh+RStK0eh9vLtA3bqCGdVNqm7/UaLazPaLthLaUi8ia+BUWZDNxTTU5tOJVCA94d04dRpdv474CTSKz3Ymg5BkeTj/pEO+8MGcIVq1fQv7mY/s3FrE7IpdkSw++nT27L1zKpaO0mbiisiBx6LVxWi3+YkQagf00Vmlkl1ufnuoVreH1Uf1xWC6aQRq+6ZsbHVJEx3savVetB2w9gW6KD8hgLVQ4L43NU+qWrLUfUJru6AXXmMp6uaKQyxsbLJw+mODUBc7yJJdU61Y2h8N9Zg882BGg824ozzkGDtn+sjTaNfgl6hRBCHDnp6RWHpNmvc8tXGsH9EzQoCtgMjK6pYVNyPNviE3CpJgr27CO1vp7iZAdbE6yUOi0cGLz0c28hpaYWd8sYs2P21nLOpjLMNR6CAY0Gk4n3e+Wg78+j1XRsTW4S6sJj76aWu/AqBobt3Up2fdtIDFZvMKreZreV/gcGgA4TKjrf5BawJ9UJNiOaQUVTFSqdVsqdNkKqystjB/PZsAGs7JXLkt49+XD0UD4Z2JeUBjdvj+hDk8VEGXmU0pMm4thryuSRsZezJz4Jj9GAweWjYEvbsGLrspNZmZvKv0/pzZuji3h3ZCH3X3YqTQkh7pv3JsXOjNaAF8I93TGN3qhj8jkUzrzjp7is7XqwD/gkL8+LThtZnp+JEgiR1thMorttu6N2lfHI219zwboNpPv9GFWFsuxkCuxBshvqorYDgK7jspgoc9rQjSpPnGVkcl50D8Itny0jtSI8zFyqy8PtXyzGqgXJTzXw2qrIv1dZk877G8JlV/aN3taVfeV0JYQQh0NXlKhHdyY9veKQ7GiAxraJsLB7fNzx7jxO37iTsrgY3powkp09swgqCotykiiLC98c9c/zRmMz1DFt0Tb8ipnMYCkFwc2cvc3J7WdegcfsYHx5LaVmI/52PZXzs9NZmxzPqTtKMQVCrD15INMXbmPysh0khmp4YMEL2IPhn+8/6z2CR0+9iMrkGOKaI4NEiz/AHz9awlOnDeHr/jnoFiOK2cCNc7/lum9X8adp50QfbMtNXAkBHc3QlngaNBoZs72CrKZmdKOBX1w6md/OWkJhpYGPc0bw5/NOZk922yQOxkCIm6xm+u0qZVtqHCsLEnA0e/imoAffFIApFOLXC5cxc8PnaLqVUCi6V1XVdG5YvCiibGFuT6z+IBcv3cBrI/sRNBggpEd8mv869RTyq+vpU1ZNSFF4f3hfvsjN5pLMEJ95zeGe+nYnP5OmsTK/ByVJDvYm2KnL01AyLLy+49+c3+dCauxWjCENo67j9Afo38/KykroEQt/OsVA36Twtqb3Unh/ezhwj3d5yKmJHFdZ1WH4vipuucHJuVuim35/zH9BkcoLZ8I/V2r4Q3D9QJWfD+3eJ2shhDhc3f3GtQNJ0HuAxYsX89FHH7F+/XpKS0u5+OKLueOOOzq7Wp0uy6Fj8QfxeTVQFS6ft4bpq7cCsKFfAVazqSVi0Zm4u5r3+mbiMYXfXo+edTp3L3yNGF9bjulFG5eTUxFkWXpftmaksbpvXtQ+Gy0WPi7MA4MCqQ4evTCJQHocd3/xHHZP27bO3rKceXkDCNgU/BYVs08jpCjoBtCMCkZd55ezV3HFks0sHJpHYjDI+fPXYvLaSGmIzilG0zHWebAFonuOh+yqwhTQmLh3H08P688V108DwKJr+GIjc4fTEwzka1u5ufgTKIa/+05j7sS2occCBgPv9uvLsL0NDG1aQb+yOmZFDm9LYXUtQ/eEJ/jQgIU9CkkrD/H4y19g1KCwoo4v++bhNRlojLOzOTs5HMwaDGzMzsVWFWJe72y2xcRzSZrGqYNs/GKqmaYvaij1JbfuZ1VeOrtSEwDQVYU3SgzcBJzywsWk/9XN+K1VJLv97I2z801eKlN6Gfj68uie1zfPVen1QoiSJnBZzbgspqg85kd/6qRPLwOXDDLy39VtbZwao3B+/7ZT0vUDVa4fKL27QgghOoYEvQdYtGgR27ZtY9iwYTQ2Rs/+1V398kMfPndbusFrw/tz6bKNxHv9FGdF5s2aNJ2CGhfr0+NbSqJ/Uvk8YxI11iTi3UFG7SilaG8VFVY7fctrKUmI5T+j+1Kc6Awv7AjfQGb3BzHqGsme+qj6XbR5NRvsBbw/poDR20sZVlJBmT0+YpmkJg8T1uxCiYFkVwAXZi5ZtIEPR/am2tkyu5qugzdIUIdao5HMUGTAlltWS/rZWVx1TgYpZc28W6JiNijYU83M13SC7W5iU90Brl/0devz7QkpUfUuj7Fj0r0UubZzx5rt9Ahs5x8jplAWm8DAfVWctWUns3KG4wh4CSkKTUYLlpCG36Rg8oXoWd3AzHlrWre3vqgH9QkxJHr8VCfH8tvrzyYY0qi3mWE3fLm7mZE9fbz/0GD2XvEKFdYUXh8xmqdPi5wIZE9Ty3/iHOxMtbAhMSHidU/09QAAZoPChB4Kr2zUCRoNvDGuP9d9vbo1+yLrjEx6n54GwIsXWemd7GfWNj/jUlSuG28nzibdEkII0VEOPm9q9yXdKAf41a9+xf/+9z/uu+8+YmJiOrs6PwregM7/1kXe4e81m5jVJx9V01D06BuMkpvbciHOXLWDPVo/SuLSAag2J1BjTYpYPreykXHFZSS6fQwureaBjxdh9bYEnE1+8AQ4uayGs67KggHRw2wNe+FMrto4nV82bOO8PevI0ivJ9FZHLKNoOmlVDYzcug0DGkEV0hqaefOxtzhp3S5oDkCdN5wqAGyzmqm1hq8LDaEQwzbvYfwoG2OeGcPaQAzr13gpqnWTV9VM6oY64rzhYzaiY0FjT8iIpu7/iOmcuWt9VL0Hllfz5MkjmZsTvvntJxsX8Onbf8YbZ+CsrTsxt0wC0Wyy4jVacNlt4a0Z1ANGQ4CQQcVoMpLoCddjU3ICPqOB+nZTKwMsKw6ysN9Qerx5DfHpIZID9e3qGTa1oG3b1wyI3I/VCJf1+e4T6R9GqySFq8nXg3rylxmnk3PnUCa8eiqnvDgOpeUCyGpSuO8MC3NnOrj1FAuFyXI6EkKIjiSjN0SSnt4DqKp88R7IoII14MdlbpdzalLZkZlIcLWKze3FHdM2wUFQUTAHggwoqaBHtYvhuyt5/qzzyHSX8buvnkU94MY2NaRhCkaWxfiDDNtbxcL8DNAhttHD/x5M47ONQe4+41J+u+c54hqbeGrsJP567gU0bHRwybp93LdmBybC3ZB5/krQFCot8Siajs0XxKF5W6faVSwhlqVnU1hRS++SKhalp9L+pruAQWFlWhymkIaCzpJeSVxwpZnffOHjsxVBMowG0toN95Xb4KXGYCIY1NjfEfr06En8/tv3+azPEDak9WBIQymr4zIBhUSPlx3piVTFxfCL+Gv45H//x8a0LO468zKqYp28N7wPFy/d2Hplujk7nbU9s1G9XpoNCnuSnLzWtI3apVU4C50Eh2WwcVOIxYkJFBstaCEFUyCE32LA6A+htmviereOf/Iw7ns7CV2HARUNbEmOJagqnBoX5KGT2/7Wj09USbJqvL9dJzNG4e4xKr0SvvvE2SdJYet1Bt7eqqMocFFRAgnW6GmbhRBCiONJgl7xg0wGhZvWfMOjI88K/zYQYwJV4d2TBzJvUD6//WIeC/oNxqKFCCoqbqOBkTt38MnAnnw2tIDPhhaQ1uTljGIHnw45nbM3zyXDXU6ZPdzzqysKOkT9CNPcbozbJk3l6fk+nv7CA2Tz5pX3kuGvZ37vXuEF/PACqRjPPo0/ffRF63ppwXq0oAkfJnTATvhGt5CisLYgl5IYJzf97LxwqNvgg0A4ILaENMbX1FGw3U2TycjCjCS2J8Yw6clG3H5AMbI11sjoZg+5/nCI61UVCEYO2bUuMZ1JN93L3IJ+4QJdD+c+a9Dkt5Da4MEa0tialEHeXf9C2z/Tma6zrGcWzUYrmfVNDJ2czN/rIlMMUu1w8i1jMLSsU+7SufqlIBXt05QVwKCgaDrOWjd2d4B4u8L4PiaMRgWHQ8Xl0hhY2Uj/ykZ0BX5+QzIx5ra/htmg8MeTDfzx5O9/n7SXaFO4cXD37lEQQojO1t17dg8kQW8H8Pv9+P1tP+c3N4ejDk3T0DTtu1b7Xpqmoev6Ea/fUUKeIP++aikWt4dXP3yK+ydfQrEznf09ojVOOxtz4hhYup3leeFpYntWlVObZmFtdhpqS69qVayZdelOLr/oUvRTf8ppe+rZMLeJZZ9Wsj1goUirJLWpLVrbluxkfWZSa69wfNDP7NUhVCX8PGQ0sCYlq3X7+30ysC9//KQt6NUdZuoKMwhtbcBnNVJmjqU+wUp5jxQsvhB2Be5pLuGtpDSKAwpqQEW1qJxRV0dhy01uVl+Ic3ft4xVzD2oDOu1n4N1mNZEXCOA2quxyWlAP+HtZVY35BX3a6qnA/i5XzaIwpKkZo6az1wqrktPbesEVcNsNNDos5PZ2cOtVTr58W2NRqd66mYdPNaCgo7UMefDS2hBVzVpkzpLesrQK3ngTfyj+hrPvHIfdHH7xgmlOXnk9PCyZAcjOMjFqhO24vu9+LO/17kbavXNIu3eOzmr3zv71WEZviNTlg16Xy0V1dfUPLpeVlYXJZPrB5Q7mpZde4vnnn48qr66uxu12H9E2NU2joaEBXdc79UNT9tEeXh2cgseciadkCwMS60hwtAzjpevYmgOUDUijQtcZUrGF87ZuIPvsfO7LGcbwmqqIbfUcpDFstIlKXwDSTGRdnMh8u5HGYj8LToqj955K0mubqI+xUOawMTyxBl1RMIU0pmzZRWNCCpYkR+v2XHYTHoc5Yh/57hrqhseHq2dQ+M/kUxmyaBfKSeEkU7/JSHVWHKOvzybd5ycmyURMkoWf0cS6h9bw556FZMa56edwodgjNs1U6z42xETuL94El/dXcScYyS2vZ8nuA3KfByQy3BHZDkC4t1fXKYyvJt7tpb9JwWBT0dtF1EZ0fj09xJhCM80N1fz3NJ3FpTqVbhieppAXr1BZ2bZJxaUxPOYgJ/R2ub8j3JtJ/u0iKv/yU8hOYsggSE40UrzLR2ysgf59DdTX//DnpSP9WN7r3Y20e+eQdu8cndXu6enpx21f4od1+aB39uzZPPjggz+43Ntvv01eXt4R7ePaa6/liiuuaH3e3NzMlClTSE5OPuKb4TRNQ1EUUlJSOvXEOGd5CfPj06AZVsScBAETNIcvDmwuH/F1bePirjUnYenp4J6bhxK/WGXFnsg83dG9FFJTDRFlg/vH8OXiOpoMKjvt8WCHWLeXK2Ytp6etlnKHjfz6JmzBENrAPN4sa/uJX2lQ2JcZS0BvC+pcjVCekIu9ys1SYzpxXzbBbg0dWJ2byuPnjcFnMsI8OLdA4a2xamt6wCkPnMqgJypYbIkjoQKsgcgAMrkgiZV7TBEZyfeeYeXcM8MB9aXArZ/5+deyEDqQZIOrzkjhrYUHfMz0cHpDz+om8r9ti1qHFys8e+rQ1ue/GaFw0amR7XXh95w/zxioc8+qIFr7CrakNwDY/D6GfLOBeE8zPD0Hnr8ZgNRUGDbsu7d7rP1Y3uvdjbR755B27xzdtd01Gb0hQpcPeqdPn8706dOP6T7MZjNmszmqXFXVo/pwKYpy1Ns4Wn0HOVF2hkcGAMAdAoMBxWrE7NXQ9MgP1Jy83txvt/D70Tqz9oRY39Jp2DcR7hprQFUjl58wJoaGJp2XP3FR1RI/e2OsGFKtJJZ7SWwOj8drdBiZdlMu3g06DyyD8pCB/DiwexXq2obsZVN6Gp83DMCmh4ebM/kC6Fo49ntp4lA8pra/0wc74OOdCucXho/Nmmjj8XtyeHN5OV82pGBd2haQmhLN3HdTCqO3hPjbHA8NHp0rhlu46wxrxDH9Y4qVW8dq7G7QGZ2lYjUp+Ewaf5wfpDGkkmjRSTIrKDuauHbBWmjXfn3KGrjzy0/YmpbMOdkhrh4/vnWkg0MxPAPeOl/hwYUalW6dNAcsrwRQMAcD/P2Dl0lsdoUX3lkJP6IT/4/hvd4dSbt3Dmn3ziHtLrp80CuOzqAZvbj+51t5LjGrrdAV4I8nG3BVGfjPvMhxbHskhU8mqQ6FNVcbmLcXNF3n1GyltUf1QNPOiGXaGbHUNITYuS9IYQ8TxobTWH73KioWVRJX6GTo3YOxJFh4aU+QvS0ZBNsaIn65B0DRdWx72sZXDlhMVKXHE1fVSFlibNS+11XB+QdMCDExR+XSO1LYsd7BxmWNxCWbGHVaIlabgYuGGLhoSPQFTnt5CSp57e45u32kys+HmmjwQZojXOH3XvFTMid6sNtrls2nl7sElv41Ysa0QzW9SGV6UdsJ/eIPgqhvLeCJ918itbnduNNThh/2toUQQpxYuvu0wweSoPcAZWVlbNiwAQCv10tpaSmzZ88G4PTTT+/MqnUK1Wxg8q8Kee51b9vUtYrCo/P8rP6ZlVlr/ZQ1hNMA7Ga49cy2RNiKsgBD4ww4nYbv2nyEpDgDSXEty8Y4GP9S5HAB5c06C/dFrhPSYVgqrK4Kz2Fx+wgDcWvNNFS03VhYmxrPf0f1JaHJQ12sLWL98T2++4RQOCiGwkEdM1az1ahgbfdpm3Z5Ki/+14K7qq2b2kCIrAmZ8NsZMDi/Q/b790kqg4tH8972DVyz/Bt0RWHL9EkM/tXUDtm+EEKIHy+5kS2SBL0HWL58OQ888EDr84ULF7Jw4cLW17qjvY1twe5+9V5wOgx8fWc8H67y4fXD1KFmMuINVFYG+Ofj5ewt8WMwwIRJTq68Kvmwfqo/mBgT2IzRs4HdP07ltBwFkxoeXm1DIJfX/7aD7Y5wz+6wQBN3vjuPJqOR3888i90xMZgN4ZzZ7wt6jyXVqDL1b4OZdf966na7iUm1MP53fbGNP7tD9/PyBqgJGZl50Y38cvq1AKTEm9hrPLQLESGEEKKrkKD3AOeeey7nnntuZ1fjR2VKbwO3fwahdvd1nZKnkmBTAIWfjovsPX315Wr2loR7WkMh+GpWI0l5Ns4Zf3S9pjFmhd+MUPjT4rY7tUalw9n5CsZ2qRPm3nG8278nDS05wuvsqbz7twH0tGlcmuVgcy2k2cNjyXam9AHx/PTtk/HU+7HEmlAPzNXoAM2BtrbyG00tZR2+GyGEED9CMk5vJMnmFj+oV5LKG5dayE9QUBQ4s9DAaxdbvnP5LZs9UWX3v+fmkg9DBELRUxYfjj+ebOCzC1VuG67wzBkqcy41RAS8AE/O9rQGvBCefeyZJSHM2TEoikLfJKXTA972bPHmYxLwAlzeR8V0wKf8qv4/nmMXQghx7GgoUY/uTHp6xSG5aICRiwYY0TQ9agSGA2Vlmyne4Ysoq7OZWLZVZ1KOzswhR/ehOytf5azvSXktqQlFl9VGl3UHA1IUPr5A5aHFGuXNcFGRwn1j5VpXCCFE9yPffuKw/FDAC3D5FcnY7G1vrbIYC8UJ4dSGRfuOrqf3UJzWP3p0hYOVdReT81S+vczIluuNPHSKAfMx6lUWQgjx4xJSoh/dmfT0ig5XWGTl0b/n8NMXmllQq1LhsLTeBDck9dh/4m6caGNvrcYbi8M5DpeNsXLjBNsPrCWEEEJ0LZLTG0mCXnFM2O0G/vSTWM54OwQt8yGckg03Djr2H0CTQeHhS2K4//zwlMUWk3zohRBCiO5Ogl5xzPRLVii+wcCcEp04i8JJmcc3+JRgVwghRHcm4/RGkqBXHFMWo8JZ+fKpE0IIIY637j5aw4HkRjYhhBBCCNHlSU+vEEIIIUQXFJIb2SJIT68QQgghhOjypKdXCCGEEKILkhvZIknQK4QQQgjRBYXkRrYIkt4ghBBCCCG6POnpFUIIIYTogrr7tMMHkqBXCCGEEKILkmmII0l6g/heNeU+Vn1bR0WJt7OrIoQQQghxxKSnV3yneR9W8fFLZeh6+Pmki1I568r0zq2UEEIIIQ6JjNMbSXp6xUE1Nwb57JXy1oAXYM47ldSU+TqvUkIIIYQ4ZMGDPLozCXrFQdWU+wkG9IgyXYdySXMQQgghxAlIgl5xUBm5Vmwxhogyg1Eht7ejk2okhBBCiMMRUpSoR3cmQa84KJNF5bJf98ARFw58bQ4DF9+STUycpIELIYQQJ4KgEv3oziSCEQfl84SorQoweEIiGT0sDD0lHrNFrpGEEEIIcWKSoFdECfg1nrhrJ/t2teXvNjeFmHR+SifWSgghhBCHI9jB0xC7XC769OlDaWkpy5YtY8SIER26/WNNgl4RZd2SRvbt8lJrNlFmt6Ho4Hm/jlOnJmE0SW+vEEII0R396U9/Ihg8cceAkAhGRGmqD1JtMbMmMZ5Km5UKu5UljjhWbPV3dtWEEEIIcYgCSvTjSG3evJl//etfPPDAAx1XweNMgl4RZcBIJ6Uxdmh3l6euKLy3RMboFUIIIU4UAUWJehypX/ziF8ycOZPevXt3YA2PLwl6RZSkdDPJ2Zao8kBxVSfURgghhBCd6e2332bdunXce++9nV2VoyJBrzion0yOaf2/UdMwaxrTXnsVNuzpxFoJIYQQ4lAFDvLw+Xw0NjZGPHy+7/4l1+12c9ttt/HnP/8Zp9N5fCp+jEjQKw5q2kC465tX6VNfS4HbS77by5d9J9Lw4drOrpoQQgghDoFbUaIeDz/8MHFxcRGPhx9++Du38eCDD5KWlsa11157HGt+bMjoDeLgbGbKM3qiG62tRdtTcnmz2cWNnVgtIYQQQhy5O++8k9tuuy2izGKJTmkE2L17N48++ijvvfceDQ0NQHjYsv3/ulwuYmJiDrruj5EEveKglmwM8FWPoVg0PaJ8cyC+cyokhBBCiMPiOch9axaL5TuD3APt3LkTv9/PlClTol6bOHEio0ePZvHixUdbzeNGgl5xUJ/OdxNUVSxaKKI8J8fcSTUSQgghxOHwH+XkFEOGDGHOnDkRZatXr+bWW2/lmWeeYeTIkUe1/eNNgl5xUEYDeAwq5pCGSQ/39hpMCpdemNDJNRNCCCHE8RAfH8+ECRMO+trw4cMZNmzY8a3QUZKgVxzUueMdzF3lpTjORk2shaCqkpBpplI1ktHZlRNCCCHED+vYWYhPeBL0ioMa0tvCfbckcfpnKr6WT02ZC6a/H2L7DQYMqnyShBBCiO5mwoQJ6Lr+wwv+CMmQZeI7VZtNrQHvfrsaYV11J1VICCGEEIdOUaIf3ZgEveI79YiN/nAYVchwdEJlhBBCCCGOggS94jsNT1e4sDAy8P3VMIU0R/e+UhRCCCHEiUdyesX3evNclY926KypgpOz4LRcuU4SQgghTgjdPJ3hQBL0iu9lUBWmFypML+zsmgghhBDisEjMG0G67YQQQgghRJcnPb1CCCGEEF2SdPW2J0GvEEIIIURXJDFvBElvEEIIIYQQXZ709AohhBBCdEXS0xtBgl4hhBBCiC5Jot72JL1BCCGEEEJ0edLTK4QQQgjRFUlHbwTp6RVCCCGEEF2e9PQKIYQQQnRJ0tXbngS9QgghhBBdkcS8ESS9QQghhBBCdHnS0yuEEEII0RVJT28ECXrbCYVCvPrqq8yfP5/i4mJ0XaewsJCZM2cydOjQzq6eEEIIIcRhkKi3PUlvaMfn8/Hvf/+bPn368MADD/Dggw/idDqZOXMmy5Yt6+zqCSGEEEKIIyQ9ve1YLBY++OADnE5na9no0aO59NJLef311xk5cmQn1k4IIYQQ4jBIR28E6eltx2AwRAS8+8sKCwupqqrqpFoJIYQQQhwBRYl+dGMS9P6AYDDIunXryM/P7+yqCCGEEEKIIyTpDT/gP//5D1VVVfzkJz/5zmX8fj9+v7/1eXNzMwCapqFp2hHtV9M0dF0/4vXFkZF2P/6kzTuHtHvnkHbvHJ3V7qoqfYs/Jl0+6HW5XFRXV//gcllZWZhMpoiyxYsX8+yzz3LDDTfQt2/f71z3pZde4vnnn48qr66uxu12H36lCX9AGxoa0HVdPjTHkbT78Sdt3jmk3TuHtHvn6Kx2T09PP277Oqjunc0QpcsHvbNnz+bBBx/8weXefvtt8vLyWp9v3ryZO+64g7POOosZM2Z877rXXnstV1xxRevz5uZmpkyZQnJyMjExMUdUb03TUBSFlJQUOTEeR9Lux5+0eeeQdu8c0u6dQ9pdQDcIeqdPn8706dMPa52SkhJ++ctfMmjQIO65554fXN5sNmM2m6PKVVU9qg+XoihHvQ1x+KTdjz9p884h7d45pN07R/dsd+nqba87/eUPSXV1Nbfccgvp6en89a9/xWjs8tcFQgghhBBdnkR07Xi9Xn75y19SX1/P7bffzo4dO1pfM5lM9OnTpxNrd2gCq8vwzS7GWJSEZUoRiuHg1zXvbQrx2bYQ8WgMVnz06WFi6CAbqipXhUIIIUSXIF/pESTobae2tpatW7cCcNttt0W8lpGRwUcffdQZ1Tpkzf9cTOOvPm99bjmrFwmfXoFywLh8934d4E/fBlufxwZUTn+vitGDbdzxq9TjVl8hhBBCHEMS9EaQoLedzMxMli9f3tnVOCK6J0DTPXMiynyfb8c/aweWyb1ay7wBnccWBSOWazIZKbVZWL7aw8YtXvr1th6XOgshhBBCHC+S09tFaLUe9EZfVHlwZ33Ec38I3IHo9f0tif17bvkc39OLjkUVhRBCCHFcKQd5dF8S9HYRhiwnxoEHpCYYFCyTCyKKnFaFcwoj/+wGTSfT48MQCtF74Vo8N7+P79nFx7rKQgghhDiWJOaNIEFvFxL/5sWYRmYCoGbGEv/KBRjzE6KW+8/5Zq4eYiDZBpkEGVdVT1ZjIzPmziLBHZ5Nzv/SiZnmIYQQQghxMJLT24WY+qaQvPRGtAYvjXUBvv3Xdqpf/5a0QXEk9Y6jfH0DcVk2Bv8klxenWfCFTNhMClVXf4HhrWURV0CKzfSd+xFCCCGEONFI0NsF6XYzH16+mKZ9HgDqSj3wRUXr66s/KeORMYPZ7VYZ39PAf64YgeONVeBvucFNUTD/6uTOqLoQQgghOko3T2c4kAS9XcSWYg+LPq2gZy87pXtDLLAmY8vyk11Zg0ULRSyr1fpIK65hd3oKTUurefGjCqzjzibH6uU0Zw2JNwzDdHphJx2JEEIIIUTHk6D3BKIFNZb+v2K2flmOJcbI8Kvz6TUpjWeeK0X/v2VYQiG2AxWJcdT27wWKQlW8kxFbizHqOmpIw9bsR1cg1uMn3e3hwt17W9Ma9nisfNO/P5dKwCuEEEKc+BTp6m1PbmQ7gSx5fgdLXyimfo+bio2NfPr7NWxbXk/d02uxhNp6c9NqG0irrgfAbzZR7YzF6A+Suq+BuDo38bVurliykdH7qlCBoKKwPd7J2pREVmzwEPRraAENb7W3cw5UCCGEEKKDSU/vCWTzZ2WRBTrM+7yStEZ31LKxbg8VhEduWJqTTlppDaqmt77u9AUYsKeSYLyVz3vm0GC1ALAuJYnez+wl+bmV+Gp8xPePZ/S/xhDXO+7YHZgQQgghxDEmPb0nELM9+hqlwAl7UqMD0tq4GAD8BoW1qfEYg1rUMkVOjfKC5NaAFwBF4cXV4KsJT3RRv6GexTNlsgohhBDihCPj9EaQoPcEMuyneRHPzTFGhlyQzdiHhlHttAMQVBXq44ycvn0pPSt38G1OEifvqcIeip6Grbfio/e5mVHljTYLC3u1lTdsbsBT7unYgxFCCCGEOI4kveEE0ndKJo5kC1u/KMMca2LQRT2Iy7YzOdvOxHeHs/6GN8mev4U4fzjAnbZ+KX2rSthtL6C0RyqJ1U0kVzcCOj6LEePcEk66qpzniWN/4kMIqLCa+ceEYeyLi+GiFVsxxZkwJ5g767CFEEIIcUS6edfuASToPcHkjE4iZ3RSVLnp6n8yeN42gsRHlF++ajH/d3I+TfFOmuJj2dMzA4D0skoS925Hue5tfjagL0+fehJeRaHYYiakKOAJ8nafnozavo/pd/bGYDEcj8MTQgghREeRmDeCpDd0BQ3NMG8jers/pxcrzTjQgzpmQ1s+r64q6KoCRrX1szB0bxlWRWeb0x4OePcvCzw1YRi2M3KO04EIIYQQQhwb0tPbFTiskBSLWuMiiM4+cvAQvpHNYNSIT3ZQ026ABx1oirHz9DmTcXo8jN2wmYGVtSyLcURtut4iaQ1CCCGEOPFJT29XYDTAny5HQceFpTXgBQgFVcYWF6O0+0s3O6zsSkulJs7JzvQ03hx/MtOWrWJwfVPUpgc6dbIyJfAVQgghTjgyekMECXq7ip+dBSsewT9yUNRLxh113PJoEeMvTGXyT9PxGSLzc4NGA18O6sPXDyczOSGAio6CztgknXd/m3C8jkAIIYQQ4piR9IauZFgBtp/7qLvmy4hi29gMsgrsZBXYWfvUZtSgQkiNvN7RTssnMcHMF3cl0+zTCengtHbzS0IhhBBCdBnS09vFxF3RB+dPerc+NxclkP74eAC2/reYOz/3sSIuJmIdo8PAw1c7W587LIoEvEIIIcSJTlGiH92Y9PR2MYpRJfu1s/E/OJZQrRfr0FQUNfwm/2BWPZ/27QVAnclIrseHSdH471+yiIuTt4IQQgghui6JdLooc34c5EdOT7w5vu15scNGscMGgN0pbwMhhBCiy+neHbtRJL2hG5lwWmJUWUGsjtUknwohhBBCdG0S9HYjV5wdz7T8tucxJnjm0uixeYUQQggh3nrrLaZNm0Z2djYOh4MhQ4bw4osvout6Z1ftiMjv2t2Iqiq8P9PJir0h9tRrTCwwEm+TXl4hhBCiSzrKr/jHHnuMvLw8Hn30UVJSUpg1axYzZsygpKSE++67r2PqeBxJ0NsNDc82MDzb8MMLCiGEEKLb+uijj0hOTm59PmnSJGpqanjssce45557UNUTK2HgxKqtEEIIIYQ4REc3JVv7gHe/oUOH0tjYSHNzc0dU8LiSnl4hhBBCiK7oGGQwzp8/n6ysLGJjYzt+48eYBL1CCCGEEN2Ez+fD5/NFlFksFiwWyw+uO3/+fN544w0effTRY1W9Y0rSG4QQQgghuomHH36YuLi4iMfDDz/8g+vt3buXSy+9lIkTJ/LLX/7yONS040lPrxBCCCFEV3SQ9IY777yT2267LaLsh3p56+vrOfvss0lKSuKdd9454W5g20+CXiGEEEKIbuJQUxn283g8TJ06lYaGBhYtWkRcXNwPr/QjJUGvEEIIIYSIEgwGueSSS9i0aRPz5s0jKyurs6t0VCToFUIIIYToio5y9Iabb76Zjz/+mEcffZTGxkYWL17c+trQoUMPq8f4x0CCXiGEEEIIEeXLL78E4Pbbb496befOneTl5R3nGh0dCXqFEEIIIUSUXbt2dXYVOtSJefudEEIIIYQQh0F6eoUQQgghuiLlGEzJdgKToFcIIYQQoiuSmDeCBL3HgK7rADQ3Nx/xNjRNw+1243K5TthBoE9E0u7Hn7R555B27xzS7p2jM9vd4XCgSI/rj4Ki74/QRIepqKhgypQpnV0NIYQQQnSyb775hpiYmM6uhkCC3mNC0zSqqqqw2+1HfHXX3NzMlClT+OSTT3A4HB1cQ/FdpN2PP2nzziHt3jmk3TtHZ7a79PT+eEh6wzGgqippaWkdsi2HwyFXiJ1A2v34kzbvHNLunUPavXNIu3dvklAkhBBCCCG6PAl6hRBCCCFElydB74+U2WxmxowZmM3mzq5KtyLtfvxJm3cOaffOIe3eOaTdBciNbEIIIYQQohuQnl4hhBBCCNHlSdArhBBCCCG6PBmyrBPs2rWLv/3tb6xduxaHw8E555zDzTffjMlk+t71dF3n5Zdf5q233qK+vp6ioiJuu+02Bg4ceJxqfmI7knavrq7mtddeY8mSJezdu5eYmBiGDh3KLbfcQkZGxnGs/YnpSN/r7b3++us89thjnHzyyfz9738/dpXtQo6m3SsrK/nXv/7FggUL8Hg8ZGRkcP3113P22Wcfh5qf2I603evr63nqqadYsGABDQ0NZGZmcskll3DRRRcdp5qfuEpKSnjllVdYv349O3bsIDc3l//9738/uJ58n3ZPEvQeZ42NjcycOZOcnBweeeQRKisrefzxx/F6vdxxxx3fu+7LL7/Ms88+yy233EJhYSFvvfUWt9xyC6+99hrZ2dnH6QhOTEfa7ps2bWLOnDmcd955DBw4kPr6el544QWuvvpq3nzzTRISEo7jUZxYjua9vl91dTXPP/88iYmJx7i2XcfRtHt1dTXXXnstubm53HXXXTgcDoqLi/H7/cep9ieuo2n33//+9+zatYuf//znpKens2DBAv7yl79gMBg4//zzj9MRnJh27NjBggUL6N+/P5qmoWnaIa0n36fdlC6OqxdffFE/+eST9fr6+tayd955Rx81apReWVn5net5vV791FNP1Z988snWMr/fr0+dOlV/+OGHj2mdu4IjbffGxkY9EAhElJWXl+sjRozQX3nllWNW367gSNu8vXvuuUe/99579RkzZui/+tWvjlFNu5ajafe7775bv/baa/VgMHisq9nlHGm7V1VV6cOHD9c//PDDiPIZM2boM2fOPGb17SpCoVDr/++77z794osv/sF15Pu0+5Kc3uNs4cKFjBo1iri4uNayM844A03TWLx48Xeut3btWpqbmzn99NNby0wmExMnTmTBggXHtM5dwZG2e2xsLEZj5A8iaWlpJCQkUFVVdczq2xUcaZvvt3r1ar799lt+8YtfHMtqdjlH2u4ul4vZs2dz8cUXYzAYjkdVu5QjbfdgMAgQNUuYw+FAl8GVfpCqHn4YI9+n3ZcEvcfZrl27yMvLiyiLjY0lOTmZXbt2fe96QNS6+fn5lJeX4/V6O7aiXcyRtvvB7N69m9raWvLz8zuugl3Q0bR5KBTib3/7G9deey3JycnHrpJd0JG2++bNmwkEAhiNRm688UZGjx7NmWeeyT//+c/WwEx8tyNt9/T0dMaMGcNLL71EcXExzc3NzJo1iyVLlnDxxRcf20p3U/J92n1JTu9x1tjYSGxsbFR5bGwsjY2N37ue2WzGYrFErafrOk1NTVit1g6vb1dxpO1+IF3X+b//+z9SUlI488wzO7KKXc7RtPlbb72Fx+PhiiuuOFbV67KOtN1ramoAePDBB5k+fTo33ngj69ev59lnn0VVVW655ZZjVueu4Gje74888gh33nknl1xyCQAGg4Hf/va3nHbaacekrt2dfJ92XxL0CnEYnnvuOZYuXcoTTzyBzWbr7Op0SbW1tTz77LM88MADhzXKgzg6+39KHzVqFLfeeisAI0aMwO128+qrr3LDDTdIIHAM6LrOAw88wJ49e3jwwQdJTk5myZIlPProo8TGxsrFtRAdSILe48zpdOJyuaLKm5qacDqd37ue3+/H5/NFXJ02NTWhKMpBexhEmyNt9/bee+89nn/+ee655x5GjRrV0VXsco60zZ955hkKCwsZOnQoTU1NQDjdIRQK0dTUhM1mi8qzFm2OtN33n0NGjBgRUT5q1ChefPFF9u7dS69evTq2sl3Ikbb7/PnzmT17Nm+88UZr+44YMYK6ujr+/ve/S9B7DMj3afclOb3HWV5eXlR+l8vlorq6Oiq/6MD1IJxP2t6uXbtIT0+XHpgfcKTtvt+cOXP4y1/+wsyZM5k2bdqxqWQXc6RtvmvXLlauXMnEiRNbH2vWrGHRokVMnDiRpUuXHtuKn+COtN179uz5vdv1+XwdULuu60jbvbi4GIPBQEFBQUR57969qaqqkvzSY0C+T7svCXqPs7Fjx7J06dLWHiyA2bNno6oqY8aM+c71Bg0ahMPhYPbs2a1lwWCQOXPmMG7cuGNa567gSNsdYPny5dx1111Mnz6dG2644VhXtcs40ja//fbbeeaZZyIeRUVFDBw4kGeeeYb+/fsfj+qfsI603TMyMujVq1fURcWSJUuwWCw/GBR3d0fT7qFQiG3btkWUb9q0icTERAnAjgH5Pu2+5DfC4+zCCy/kzTff5Pbbb+e6666jsrKSf/zjH1xwwQWkpKS0Lvezn/2MsrIy3n//fQAsFgvXXnstzz33HAkJCfTq1Yu33nqLhoYGrrzyyk46mhPHkbb7zp07+c1vfkOPHj0455xzWLduXeuyCQkJMoj59zjSNu/du3fUtmJiYrDb7VE/vYtoR9ruADfffDO33347jz76KOPGjWPjxo288sorXHXVVZLD/gOOtN3HjRtHeno6d9xxBzNmzCA5OZnFixfz8ccfc+ONN3bS0Zw4vF4v8+fPB6CsrIzm5ubWYHb48OEkJCTI96loJUHvceZ0Onn66ad55JFHuP3223E4HEyfPp2bb745Yrn9OYztXX311ei6zquvvkpdXR1FRUU88cQTEngdgiNt9/Xr1+NyuXC5XFx//fURy06dOpX777//eFT/hHQ073Vx5I6m3U899VQeeughXnjhBd5++22Sk5O56aabuOaaa47jEZyYjrTdHQ4HTz/9NE899RRPPPEETU1NZGZmcuutt7aO5iC+W21tLb///e8jyvY/f+aZZxgxYoR8n4pWii6jXwshhBBCiC5OcnqFEEIIIUSXJ0GvEEIIIYTo8iToFUIIIYQQXZ4EvUIIIYQQosuToFcIIYQQQnR5EvQKIYQQQoguT4JeIYQQQgjR5UnQK4QQQgghujwJeoUQ4jg699xzo6aXvfHGGzn33HM7qUZCCNE9SNArhBAd7Nlnn+Wbb77p7GoIIYRox9jZFRBCiK7m+eefZ+rUqUyYMCHqtXfeeQdFUY5/pYQQopuToFcIIY4js9nc2VUQQohuSdIbhBDiEDz77LOMGDGCffv2Rb22P0933759jBgxAoCPP/6YESNGtD4OXFYIIcTxJT29QgjRQRISEvjjH//Ivffey9ChQzn//PM7u0pCCCFaSNArhBAdxGazcc4553DvvfeSlZXFOeec09lVEkII0ULSG4QQQgghRJcnQa8QQgghhOjyJOgVQohD8H3DjIVCoeNYEyGEEEdCgl4hhDgETqcTgMbGxohyn89HdXV1Z1RJCCHEYZCgVwghDkFubi4AS5YsiSh//fXX0TQtosxut9PQ0HDc6iaEEOKHyegNQghxCEaNGkVubi7PPvssDQ0NZGZmsmbNGtatW0d8fHzEsgMGDGDp0qX8+9//Jj09HUVROPPMMzun4kIIIQDp6RVCiENiMBh47LHHGD58OG+++SZPPvkkgUCA5557DpvNFrHs73//e4YMGcJLL73E3XffzV133dVJtRZCCLGfouu63tmVEEIIIYQQ4liSnl4hhBBCCNHlSdArhBBCCCG6PAl6hRBCCCFElydBrxBCCCGE6PIk6BVCCCGEEF2eBL1CCCGEEKLLk6BXCCGEEEJ0eRL0CiGEEEKILk+CXiGEEEII0eVJ0CuEEEIIIbo8CXqFEEIIIUSXJ0GvEEIIIYTo8iToFUIIIYQQXd7/B9i46VxouglTAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 750x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "shap.dependence_plot(\"util\", sv.values, Xoot.iloc[:2000], interaction_index=\"hist_years\", show=False)\n",
    "plt.title(\"Utilization effect — colored by history length: the interaction, visible\")\n",
    "plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "8f011cfe",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-14T02:06:14.920098Z",
     "iopub.status.busy": "2026-07-14T02:06:14.919863Z",
     "iopub.status.idle": "2026-07-14T02:06:15.237411Z",
     "shell.execute_reply": "2026-07-14T02:06:15.235967Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x450 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adverse action — principal reasons:\n",
      "  1. Proportion of revolving credit in use is too high  (SHAP +1.72)\n",
      "  2. Income is insufficient relative to obligations  (SHAP +1.70)\n",
      "  3. Length of credit history is insufficient  (SHAP +1.27)\n",
      "  4. (!) region — a proxy feature should never be a reason code  (SHAP +0.30)\n"
     ]
    }
   ],
   "source": [
    "# one declined applicant -> adverse action reason codes\n",
    "i = int(np.argmax(p_oot_raw[:2000]))\n",
    "shap.plots.waterfall(sv[i], show=False)\n",
    "plt.tight_layout(); plt.show()\n",
    "\n",
    "REASONS = {\"util\": \"Proportion of revolving credit in use is too high\",\n",
    "           \"dti\": \"Debt obligations are too high relative to income\",\n",
    "           \"inquiries\": \"Too many recent credit inquiries\",\n",
    "           \"hist_years\": \"Length of credit history is insufficient\",\n",
    "           \"log_income\": \"Income is insufficient relative to obligations\",\n",
    "           \"region\": \"(!) region — a proxy feature should never be a reason code\"}\n",
    "contrib = pd.Series(sv.values[i], index=FEATURES).sort_values(ascending=False)\n",
    "print(\"Adverse action — principal reasons:\")\n",
    "for rank, (feat, val) in enumerate(contrib[contrib > 0].head(4).items(), 1):\n",
    "    print(f\"  {rank}. {REASONS[feat]}  (SHAP +{val:.2f})\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c041dcd5",
   "metadata": {},
   "source": [
    "## 6. The disparate-impact check\n",
    "\n",
    "`group` was never a feature — but `region` partially proxies it. Measure what the model did anyway."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "b087e9d1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-14T02:06:15.239525Z",
     "iopub.status.busy": "2026-07-14T02:06:15.239274Z",
     "iopub.status.idle": "2026-07-14T02:06:15.529252Z",
     "shell.execute_reply": "2026-07-14T02:06:15.528657Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "decline rate — group A: 15.9%   group B: 29.1%\n",
      "adverse impact ratio (approvals): 0.844   (four-fifths rule flag if < 0.80)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "without region — AUC: 0.7722 (vs 0.7662), impact ratio: 0.936\n"
     ]
    }
   ],
   "source": [
    "cutoff = np.quantile(p_oot_raw, 0.80)                 # decline the riskiest 20%\n",
    "declined = p_oot_raw >= cutoff\n",
    "g_oot = group[oot.values]\n",
    "\n",
    "decline_g1 = declined[g_oot].mean()\n",
    "decline_g0 = declined[~g_oot].mean()\n",
    "print(f\"decline rate — group A: {decline_g0:.1%}   group B: {decline_g1:.1%}\")\n",
    "print(f\"adverse impact ratio (approvals): {(1-decline_g1)/(1-decline_g0):.3f}   (four-fifths rule flag if < 0.80)\")\n",
    "\n",
    "# less-discriminatory alternative: drop region, remeasure\n",
    "bst_nr = xgb.XGBClassifier(**params,\n",
    "    monotone_constraints=tuple(mono[c] for c in FEATURES if c != \"region\")).fit(Xtr.drop(columns=\"region\"), ytr)\n",
    "p_nr = bst_nr.predict_proba(Xoot.drop(columns=\"region\"))[:, 1]\n",
    "declined_nr = p_nr >= np.quantile(p_nr, 0.80)\n",
    "print(f\"\\nwithout region — AUC: {roc_auc_score(yoot, p_nr):.4f} (vs {roc_auc_score(yoot, p_oot_raw):.4f}), \"\n",
    "      f\"impact ratio: {(1-declined_nr[g_oot].mean())/(1-declined_nr[~g_oot].mean()):.3f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d06aca4e",
   "metadata": {},
   "source": [
    "The pattern to internalize: dropping the proxy feature costs a sliver of AUC and moves the impact\n",
    "ratio toward parity — the **less-discriminatory alternative** the module says you're obligated to\n",
    "look for. In real work this analysis is run with properly inferred group labels (e.g. BISG), across\n",
    "several cutoffs, and documented.\n",
    "\n",
    "## Exercises\n",
    "\n",
    "1. **Constraint audit.** Plot `bst_free`'s SHAP dependence for `util` — find the non-monotonic\n",
    "   wiggles the constrained model refuses to learn. Are they signal or noise? Check out-of-time.\n",
    "2. **Drift.** Evaluate AUC vintage by vintage. Where does decay start, and would\n",
    "   [Module 6's](https://rodoslay.com/data-science/06-production-ml-for-risk) PSI have warned you?\n",
    "3. **Reason-code stability.** Generate reason codes for 100 declines under `bst_free` and\n",
    "   `bst_mono`. How often do the top reasons differ? Which model would you rather defend?\n",
    "4. **Calibrate the scorecard too.** Is the scorecard better or worse calibrated than raw XGBoost\n",
    "   before isotonic? (Logistic models are often surprisingly well calibrated in-sample — and\n",
    "   surprisingly stale out-of-time.)"
   ]
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