{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "22d7077a",
   "metadata": {},
   "source": [
    "# 12 · Time Series Forecasting\n",
    "\n",
    "Forecasting is predicting the future of a quantity measured over time: electricity demand, sales, river\n",
    "flow, traffic. There is no single best method. This notebook runs seven techniques, from a one-line\n",
    "baseline to a Transformer, on **two problems chosen to have opposite winners**, and explains why each wins\n",
    "where it does.\n",
    "\n",
    "Running every model takes about 25 minutes on a laptop CPU (the neural networks take most of it); the\n",
    "saved results below can be read without running anything.\n",
    "\n",
    "**You will learn**\n",
    "1. The families of forecasting methods and how to evaluate them without fooling yourself\n",
    "2. Seasonal naive, SARIMA, Prophet, gradient boosting (XGBoost), a GRU in PyTorch, an LSTM in Keras and a Transformer, implemented on the same problem\n",
    "3. **Example 1, bike-sharing demand**: tabular data with strong known features, where gradient boosting wins\n",
    "4. **Example 2, river flow driven by rain**: hidden state and long, smooth responses, where recurrent neural networks win\n",
    "5. A decision guide for real projects"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "deae5b0e",
   "metadata": {},
   "source": [
    "## 1. The landscape\n",
    "\n",
    "| Family | Examples | Learns from | Strong when |\n",
    "|---|---|---|---|\n",
    "| Naive baselines | last value, **seasonal naive** | nothing | always the first thing to beat |\n",
    "| Classical statistical | ARIMA, **SARIMA**, ETS | one series' own past | short, stable, single series; uncertainty intervals |\n",
    "| Decomposable | **Prophet** | trend + seasonalities + holidays + regressors | business series with clear calendar effects, analysts who need interpretable components |\n",
    "| Machine learning on features | **XGBoost**, LightGBM, random forests | a table of engineered features (lags, calendar, covariates) | tabular problems with informative features and moderate data, most competition wins |\n",
    "| Recurrent networks | **GRU**, **LSTM** | raw sequences | long memory, hidden state, many related series |\n",
    "| Attention | **Transformers** (TFT, PatchTST, Informer) | raw sequences, all positions at once (often grouped into patches) | long contexts, lots of data |\n",
    "| Foundation models | Chronos, TimesFM, Moirai | pretrained on millions of series | zero-shot forecasts without training |\n",
    "\n",
    "**Evaluating forecasts honestly**\n",
    "- Split by **time**, never randomly: train on the past, test on the future.\n",
    "- Use **rolling origins**: forecast from many points in the test period, as the model would be used.\n",
    "- Every feature must be **known at forecast time**: yesterday's demand yes, tomorrow's actual demand no.\n",
    "  Weather for the next day comes from a weather forecast; here we use the observed weather as a stand-in,\n",
    "  which is common practice and slightly optimistic for every model alike.\n",
    "- Always report a **baseline**: a fancy model that cannot beat seasonal naive is not useful."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1033aab0",
   "metadata": {},
   "source": [
    "## 2. Example 1: hourly bike-sharing demand\n",
    "Two years (2011-2012) of hourly rentals from Washington D.C.'s Capital Bikeshare with the weather and the\n",
    "calendar: the UCI *Bike Sharing* dataset (Fanaee-T and Gama, 2013, licence CC BY 4.0), from OpenML. The\n",
    "copy on OpenML drops the date column; the rows are in time order, so the timestamps are rebuilt from the\n",
    "year, month, weekday and hour fields, and 165 missing hours (no rentals recorded) are filled.\n",
    "\n",
    "**Task:** every midnight, forecast the 24 hourly counts of the coming day. Train on January 2011 to September\n",
    "2012, test on the 92 days of October to December 2012."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "782db8ab",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-18T02:04:24.680640Z",
     "iopub.status.busy": "2026-10-18T02:04:24.680096Z",
     "iopub.status.idle": "2026-10-18T02:04:28.437450Z",
     "shell.execute_reply": "2026-10-18T02:04:28.435711Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(17544, 11) 2011-01-01 00:00:00 -> 2012-12-31 23:00:00\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>temp</th>\n",
       "      <th>feel_temp</th>\n",
       "      <th>humidity</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>weather</th>\n",
       "      <th>holiday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>hour</th>\n",
       "      <th>dow</th>\n",
       "      <th>month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2011-01-01 00:00:00</th>\n",
       "      <td>16.0</td>\n",
       "      <td>9.84</td>\n",
       "      <td>14.395</td>\n",
       "      <td>0.81</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-01 01:00:00</th>\n",
       "      <td>40.0</td>\n",
       "      <td>9.02</td>\n",
       "      <td>13.635</td>\n",
       "      <td>0.80</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-01 02:00:00</th>\n",
       "      <td>32.0</td>\n",
       "      <td>9.02</td>\n",
       "      <td>13.635</td>\n",
       "      <td>0.80</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     count  temp  feel_temp  humidity  windspeed  weather  \\\n",
       "2011-01-01 00:00:00   16.0  9.84     14.395      0.81        0.0        0   \n",
       "2011-01-01 01:00:00   40.0  9.02     13.635      0.80        0.0        0   \n",
       "2011-01-01 02:00:00   32.0  9.02     13.635      0.80        0.0        0   \n",
       "\n",
       "                     holiday  workingday  hour  dow  month  \n",
       "2011-01-01 00:00:00        0           0     0    5      1  \n",
       "2011-01-01 01:00:00        0           0     1    5      1  \n",
       "2011-01-01 02:00:00        0           0     2    5      1  "
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import os, time, warnings, logging\n",
    "os.environ.setdefault(\"TF_CPP_MIN_LOG_LEVEL\", \"3\")\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "import numpy as np, pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.datasets import fetch_openml\n",
    "\n",
    "raw = fetch_openml(data_id=42712, as_frame=True, parser=\"auto\").frame\n",
    "# a new day starts whenever the hour goes back down or the weekday changes\n",
    "day, days, prev_h, prev_wd = 0, [], None, None\n",
    "for h, wd in zip(raw[\"hour\"].astype(int), raw[\"weekday\"].astype(str)):\n",
    "    if prev_h is not None and (h <= prev_h or wd != prev_wd):\n",
    "        day += 1\n",
    "    days.append(day); prev_h, prev_wd = h, wd\n",
    "raw.index = pd.Timestamp(\"2011-01-01\") + pd.to_timedelta(days, \"D\") + pd.to_timedelta(raw[\"hour\"].astype(int), \"h\")\n",
    "assert (raw.index.dayofweek == (raw[\"weekday\"].astype(int) + 6) % 7).all()     # rebuilt dates match the weekdays\n",
    "\n",
    "WEATHER = [\"temp\", \"feel_temp\", \"humidity\", \"windspeed\"]\n",
    "bike = raw.reindex(pd.date_range(raw.index.min(), raw.index.max(), freq=\"h\"))\n",
    "bike[\"count\"] = bike[\"count\"].fillna(0)\n",
    "for c in WEATHER + [\"weather\", \"holiday\", \"workingday\"]:\n",
    "    bike[c] = bike[c].ffill()\n",
    "bike = pd.DataFrame({\n",
    "    \"count\": bike[\"count\"].astype(float),\n",
    "    **{c: bike[c].astype(float) for c in WEATHER},\n",
    "    \"weather\": bike[\"weather\"].astype(str).astype(\"category\").cat.codes,\n",
    "    \"holiday\": bike[\"holiday\"].astype(str).isin([\"True\", \"1\"]).astype(int),\n",
    "    \"workingday\": bike[\"workingday\"].astype(str).isin([\"True\", \"1\"]).astype(int),\n",
    "}, index=bike.index)\n",
    "bike[\"hour\"], bike[\"dow\"], bike[\"month\"] = bike.index.hour, bike.index.dayofweek, bike.index.month\n",
    "print(bike.shape, bike.index.min(), \"->\", bike.index.max())\n",
    "bike.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e9878a23",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-18T02:04:28.441734Z",
     "iopub.status.busy": "2026-10-18T02:04:28.441341Z",
     "iopub.status.idle": "2026-10-18T02:04:29.325481Z",
     "shell.execute_reply": "2026-10-18T02:04:29.324165Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1400x340 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 3, figsize=(14, 3.4))\n",
    "bike[\"count\"].resample(\"D\").sum().plot(ax=ax[0], title=\"daily rentals\", color=\"#4f46e5\")\n",
    "for wd, g in bike.groupby(\"workingday\"):\n",
    "    g.groupby(\"hour\")[\"count\"].mean().plot(ax=ax[1], label=\"working day\" if wd else \"weekend / holiday\")\n",
    "ax[1].legend(); ax[1].set_title(\"average by hour of day\")\n",
    "ax[2].scatter(bike[\"temp\"], bike[\"count\"], s=1, alpha=.15); ax[2].set_xlabel(\"temperature (normalised)\"); ax[2].set_title(\"rentals vs temperature\")\n",
    "plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cf9a5f75",
   "metadata": {},
   "source": [
    "The data has everything that makes forecasting with features easy: two strong daily patterns (commuting\n",
    "peaks on working days, a midday hump at weekends), growth from 2011 to 2012, and a strong dependence on\n",
    "weather. We model `log(1 + count)` so errors at night and at rush hour count proportionally, and score\n",
    "forecasts in bikes per hour."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "0a809335",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-18T02:04:29.330571Z",
     "iopub.status.busy": "2026-10-18T02:04:29.330223Z",
     "iopub.status.idle": "2026-10-18T02:04:29.343957Z",
     "shell.execute_reply": "2026-10-18T02:04:29.341798Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "92 test days, 2,208 hours\n"
     ]
    }
   ],
   "source": [
    "bike[\"y\"] = np.log1p(bike[\"count\"])\n",
    "TEST_START = pd.Timestamp(\"2012-10-01\")\n",
    "test_days = pd.date_range(TEST_START, bike.index.max().normalize(), freq=\"D\")\n",
    "y_true = bike.loc[bike.index >= TEST_START, \"count\"].to_numpy()\n",
    "\n",
    "results, forecasts = {}, {}\n",
    "def score(name, pred_log, seconds):\n",
    "    pred = np.clip(np.expm1(np.asarray(pred_log)), 0, None)\n",
    "    forecasts[name] = pred\n",
    "    results[name] = {\"MAE (bikes/h)\": np.mean(np.abs(pred - y_true)),\n",
    "                     \"RMSE (bikes/h)\": np.sqrt(np.mean((pred - y_true) ** 2)),\n",
    "                     \"seconds\": seconds}\n",
    "    print(f\"{name:<22} MAE {results[name]['MAE (bikes/h)']:6.1f}   RMSE {results[name]['RMSE (bikes/h)']:6.1f}   ({seconds:.0f} s)\")\n",
    "print(f\"{len(test_days)} test days, {len(y_true):,} hours\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eec5f8b2",
   "metadata": {},
   "source": [
    "### 2.1 Seasonal naive\n",
    "Tomorrow at 8:00 will look like the same day last week at 8:00. One line, no fitting."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0f90dad0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-18T02:04:29.347877Z",
     "iopub.status.busy": "2026-10-18T02:04:29.347504Z",
     "iopub.status.idle": "2026-10-18T02:04:29.355466Z",
     "shell.execute_reply": "2026-10-18T02:04:29.353569Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Seasonal naive (7 d)   MAE   75.9   RMSE  129.8   (0 s)\n"
     ]
    }
   ],
   "source": [
    "t0 = time.perf_counter()\n",
    "score(\"Seasonal naive (7 d)\", bike[\"y\"].shift(168).loc[bike.index >= TEST_START], time.perf_counter() - t0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "244a8d1c",
   "metadata": {},
   "source": [
    "### 2.2 SARIMA (statsmodels)\n",
    "A seasonal ARIMA with a 24-hour season and the weather as external regressors (SARIMAX). Fitting on two\n",
    "years of hourly data is slow, so it is fitted on the last eight weeks before the test period; each midnight\n",
    "it is updated with the actual day that just ended (no refit) and forecasts the next 24 hours."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ee1b6845",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-18T02:04:29.360460Z",
     "iopub.status.busy": "2026-10-18T02:04:29.360084Z",
     "iopub.status.idle": "2026-10-18T02:05:14.649820Z",
     "shell.execute_reply": "2026-10-18T02:05:14.647822Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/patito/Developments/academy/python/.venv/lib/python3.12/site-packages/statsmodels/tsa/statespace/mlemodel.py:737: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals\n",
      "  mlefit = super().fit(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SARIMA                 MAE   94.3   RMSE  140.6   (45 s)\n"
     ]
    }
   ],
   "source": [
    "from statsmodels.tsa.statespace.sarimax import SARIMAX\n",
    "EXOG = [\"temp\", \"humidity\", \"windspeed\", \"workingday\"]\n",
    "t0 = time.perf_counter()\n",
    "hist = bike.loc[TEST_START - pd.Timedelta(weeks=8): TEST_START - pd.Timedelta(hours=1)]\n",
    "res = SARIMAX(hist[\"y\"], exog=hist[EXOG], order=(2, 0, 1), seasonal_order=(1, 0, 1, 24),\n",
    "              enforce_stationarity=False, enforce_invertibility=False).fit(disp=False, maxiter=60)\n",
    "preds = []\n",
    "for i, d in enumerate(test_days):\n",
    "    day = bike.loc[d: d + pd.Timedelta(hours=23)]\n",
    "    if i > 0:\n",
    "        prev = bike.loc[d - pd.Timedelta(days=1): d - pd.Timedelta(hours=1)]\n",
    "        res = res.append(prev[\"y\"], exog=prev[EXOG], refit=False)\n",
    "    preds.append(res.forecast(len(day), exog=day[EXOG]).to_numpy())\n",
    "score(\"SARIMA\", np.concatenate(preds), time.perf_counter() - t0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "47abbd41",
   "metadata": {},
   "source": [
    "### 2.3 Prophet\n",
    "Meta's Prophet models a series as trend + yearly, weekly and daily seasonality + regressors, fitted once.\n",
    "It does not look at the last few days' values, so it cannot react to a recent surprise, but its components\n",
    "are easy to explain to non-specialists."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "32f057fe",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-18T02:05:14.655048Z",
     "iopub.status.busy": "2026-10-18T02:05:14.654300Z",
     "iopub.status.idle": "2026-10-18T02:05:22.431808Z",
     "shell.execute_reply": "2026-10-18T02:05:22.429719Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Importing plotly failed. Interactive plots will not work.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Prophet                MAE   84.9   RMSE  125.4   (8 s)\n"
     ]
    }
   ],
   "source": [
    "from prophet import Prophet\n",
    "logging.getLogger(\"cmdstanpy\").disabled = True\n",
    "logging.getLogger(\"prophet\").setLevel(logging.ERROR)\n",
    "train = bike.loc[bike.index < TEST_START]\n",
    "t0 = time.perf_counter()\n",
    "pdf = pd.DataFrame({\"ds\": train.index, \"y\": train[\"y\"].to_numpy(), **{c: train[c].to_numpy() for c in EXOG}})\n",
    "prophet = Prophet(daily_seasonality=True, weekly_seasonality=True, yearly_seasonality=True)\n",
    "for c in EXOG:\n",
    "    prophet.add_regressor(c)\n",
    "prophet.fit(pdf)\n",
    "test = bike.loc[bike.index >= TEST_START]\n",
    "fut = pd.DataFrame({\"ds\": test.index, **{c: test[c].to_numpy() for c in EXOG}})\n",
    "score(\"Prophet\", prophet.predict(fut)[\"yhat\"].to_numpy(), time.perf_counter() - t0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e9495e53",
   "metadata": {},
   "source": [
    "### 2.4 Gradient boosting (XGBoost)\n",
    "Turn forecasting into a table: one row per hour, with calendar features, the weather, and **lags that are\n",
    "known at midnight**: the same hour yesterday (24 h), two days ago (48 h) and last week (168 h), and\n",
    "yesterday's average. One model predicts every hour of the day directly."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c347bbb5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-18T02:05:22.435531Z",
     "iopub.status.busy": "2026-10-18T02:05:22.435165Z",
     "iopub.status.idle": "2026-10-18T02:05:25.091039Z",
     "shell.execute_reply": "2026-10-18T02:05:25.089039Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "XGBoost                MAE   44.6   RMSE   71.0   (3 s)\n"
     ]
    }
   ],
   "source": [
    "import xgboost as xgb\n",
    "feat = bike.copy()\n",
    "feat[\"lag24\"], feat[\"lag48\"], feat[\"lag168\"] = feat[\"y\"].shift(24), feat[\"y\"].shift(48), feat[\"y\"].shift(168)\n",
    "feat[\"prev_day_mean\"] = feat[\"y\"].shift(24).rolling(24).mean()     # ends at the forecast's midnight at the latest\n",
    "feat[\"trend\"] = np.arange(len(feat))\n",
    "FEATURES = [\"hour\", \"dow\", \"month\", \"workingday\", \"holiday\", \"weather\", *WEATHER,\n",
    "            \"lag24\", \"lag48\", \"lag168\", \"prev_day_mean\", \"trend\"]\n",
    "tr_rows = feat.loc[feat.index < TEST_START].dropna()\n",
    "te_rows = feat.loc[feat.index >= TEST_START]\n",
    "\n",
    "t0 = time.perf_counter()\n",
    "xgb_model = xgb.XGBRegressor(n_estimators=800, max_depth=7, learning_rate=0.03, subsample=0.8,\n",
    "                             colsample_bytree=0.8, n_jobs=4, random_state=0)\n",
    "xgb_model.fit(tr_rows[FEATURES], tr_rows[\"y\"])\n",
    "score(\"XGBoost\", xgb_model.predict(te_rows[FEATURES]), time.perf_counter() - t0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6cbd6f23",
   "metadata": {},
   "source": [
    "### 2.5 Neural networks: GRU (PyTorch), LSTM (Keras), Transformer (PyTorch)\n",
    "The sequence models get the raw history instead of hand-made lags: the last **7 days** (168 hours) of demand,\n",
    "weather and calendar, plus the weather and calendar of the **24 hours to forecast**, and output the 24\n",
    "values at once. Training uses every third hour of the training period as a forecast origin (about 5,000\n",
    "examples); the last four weeks of training data are held out to stop training at the best epoch."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "37f45e83",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-18T02:05:25.094579Z",
     "iopub.status.busy": "2026-10-18T02:05:25.094235Z",
     "iopub.status.idle": "2026-10-18T02:05:25.178148Z",
     "shell.execute_reply": "2026-10-18T02:05:25.176049Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train (4824, 168, 10) validation (28, 168, 10) test (92, 168, 10)\n"
     ]
    }
   ],
   "source": [
    "SEQ_IN = [\"y\", \"temp\", \"humidity\", \"windspeed\", \"workingday\", \"holiday\"]\n",
    "FUT_IN = [\"temp\", \"humidity\", \"windspeed\", \"workingday\", \"holiday\"]\n",
    "L, H = 168, 24\n",
    "arr = bike.assign(h_sin=np.sin(2 * np.pi * bike[\"hour\"] / 24), h_cos=np.cos(2 * np.pi * bike[\"hour\"] / 24),\n",
    "                  d_sin=np.sin(2 * np.pi * bike[\"dow\"] / 7), d_cos=np.cos(2 * np.pi * bike[\"dow\"] / 7))\n",
    "CAL = [\"h_sin\", \"h_cos\", \"d_sin\", \"d_cos\"]\n",
    "past = arr[SEQ_IN + CAL].to_numpy(np.float32)\n",
    "future = arr[FUT_IN + CAL].to_numpy(np.float32)\n",
    "target = arr[\"y\"].to_numpy(np.float32)\n",
    "mu, sd = past[: arr.index.get_loc(TEST_START)].mean(0), past[: arr.index.get_loc(TEST_START)].std(0) + 1e-6\n",
    "fmu, fsd = future[: arr.index.get_loc(TEST_START)].mean(0), future[: arr.index.get_loc(TEST_START)].std(0) + 1e-6\n",
    "past_n, fut_n = (past - mu) / sd, (future - fmu) / fsd\n",
    "y_mu, y_sd = mu[0], sd[0]\n",
    "\n",
    "def make(origins):\n",
    "    X = np.stack([past_n[o - L:o] for o in origins])\n",
    "    F = np.stack([fut_n[o:o + H] for o in origins])\n",
    "    Y = np.stack([(target[o:o + H] - y_mu) / y_sd for o in origins])\n",
    "    return X, F, Y\n",
    "\n",
    "test_o = [arr.index.get_loc(d) for d in test_days]\n",
    "val_start = arr.index.get_loc(TEST_START - pd.Timedelta(weeks=4))\n",
    "train_o = list(range(L, val_start - H, 3))\n",
    "val_o = [arr.index.get_loc(d) for d in pd.date_range(TEST_START - pd.Timedelta(weeks=4), TEST_START - pd.Timedelta(days=1), freq=\"D\")]\n",
    "(Xtr, Ftr, Ytr), (Xva, Fva, Yva), (Xte, Fte, _) = make(train_o), make(val_o), make(test_o)\n",
    "print(\"train\", Xtr.shape, \"validation\", Xva.shape, \"test\", Xte.shape)\n",
    "to_log = lambda p: p.reshape(-1) * y_sd + y_mu"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "08f7795e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-18T02:05:25.181957Z",
     "iopub.status.busy": "2026-10-18T02:05:25.181581Z",
     "iopub.status.idle": "2026-10-18T02:08:08.750445Z",
     "shell.execute_reply": "2026-10-18T02:08:08.747915Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "GRU (PyTorch)          MAE   46.4   RMSE   75.0   (161 s)\n",
      "   stopped after 18 epochs\n"
     ]
    }
   ],
   "source": [
    "import torch\n",
    "torch.manual_seed(0); torch.set_num_threads(4)\n",
    "\n",
    "def train_torch(model, epochs=30, lr=2e-3, batch=128, patience=5):\n",
    "    opt = torch.optim.Adam(model.parameters(), lr=lr)\n",
    "    t = lambda a: torch.tensor(a)\n",
    "    Xt, Ft, Yt, Xv, Fv, Yv = map(t, (Xtr, Ftr, Ytr, Xva, Fva, Yva))\n",
    "    best, best_state, bad = np.inf, None, 0\n",
    "    for ep in range(epochs):\n",
    "        model.train()\n",
    "        for i in torch.randperm(len(Xt)).split(batch):\n",
    "            opt.zero_grad()\n",
    "            loss = torch.nn.functional.mse_loss(model(Xt[i], Ft[i]), Yt[i]); loss.backward(); opt.step()\n",
    "        model.eval()\n",
    "        with torch.no_grad():\n",
    "            v = torch.nn.functional.mse_loss(model(Xv, Fv), Yv).item()\n",
    "        if v < best - 1e-4:\n",
    "            best, best_state, bad = v, {k: x.clone() for k, x in model.state_dict().items()}, 0\n",
    "        else:\n",
    "            bad += 1\n",
    "            if bad >= patience:\n",
    "                break\n",
    "    model.load_state_dict(best_state); model.eval()\n",
    "    with torch.no_grad():\n",
    "        return model(torch.tensor(Xte), torch.tensor(Fte)).numpy(), ep + 1\n",
    "\n",
    "class GRUForecaster(torch.nn.Module):\n",
    "    '''Encoder GRU reads the past week; a small network combines its final state with the next day's covariates.'''\n",
    "    def __init__(self, n_in, n_fut, hidden=64):\n",
    "        super().__init__()\n",
    "        self.gru = torch.nn.GRU(n_in, hidden, batch_first=True)\n",
    "        self.head = torch.nn.Sequential(torch.nn.Linear(hidden + n_fut * H, 128), torch.nn.ReLU(), torch.nn.Linear(128, H))\n",
    "    def forward(self, x, f):\n",
    "        _, h = self.gru(x)\n",
    "        return self.head(torch.cat([h[-1], f.flatten(1)], 1))\n",
    "\n",
    "t0 = time.perf_counter()\n",
    "p, ep = train_torch(GRUForecaster(Xtr.shape[2], Ftr.shape[2]))\n",
    "score(\"GRU (PyTorch)\", to_log(p), time.perf_counter() - t0); print(f\"   stopped after {ep} epochs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "91f20b05",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-18T02:08:08.754316Z",
     "iopub.status.busy": "2026-10-18T02:08:08.753674Z",
     "iopub.status.idle": "2026-10-18T02:10:35.675292Z",
     "shell.execute_reply": "2026-10-18T02:10:35.673155Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n",
      "I0000 00:00:1792289289.216665  881464 cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n",
      "I0000 00:00:1792289292.259200  881464 cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LSTM (Keras)           MAE   50.0   RMSE   81.4   (143 s)\n",
      "   stopped after 22 epochs\n"
     ]
    }
   ],
   "source": [
    "import tensorflow as tf\n",
    "tf.keras.utils.set_random_seed(0)\n",
    "inp_x = tf.keras.Input((L, Xtr.shape[2])); inp_f = tf.keras.Input((H, Ftr.shape[2]))\n",
    "z = tf.keras.layers.LSTM(64)(inp_x)\n",
    "z = tf.keras.layers.Concatenate()([z, tf.keras.layers.Flatten()(inp_f)])\n",
    "z = tf.keras.layers.Dense(128, activation=\"relu\")(z)\n",
    "lstm = tf.keras.Model([inp_x, inp_f], tf.keras.layers.Dense(H)(z))\n",
    "lstm.compile(optimizer=tf.keras.optimizers.Adam(2e-3), loss=\"mse\")\n",
    "t0 = time.perf_counter()\n",
    "hist_k = lstm.fit([Xtr, Ftr], Ytr, validation_data=([Xva, Fva], Yva), epochs=30, batch_size=128, verbose=0,\n",
    "                  callbacks=[tf.keras.callbacks.EarlyStopping(patience=5, restore_best_weights=True)])\n",
    "score(\"LSTM (Keras)\", to_log(lstm.predict([Xte, Fte], verbose=0)), time.perf_counter() - t0)\n",
    "print(f\"   stopped after {len(hist_k.history['loss'])} epochs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "b91acb98",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-18T02:10:35.680395Z",
     "iopub.status.busy": "2026-10-18T02:10:35.679498Z",
     "iopub.status.idle": "2026-10-18T02:11:04.708558Z",
     "shell.execute_reply": "2026-10-18T02:11:04.706830Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Transformer (PyTorch)  MAE   50.0   RMSE   83.0   (29 s)\n",
      "   stopped after 17 epochs\n"
     ]
    }
   ],
   "source": [
    "class PatchTransformer(torch.nn.Module):\n",
    "    '''PatchTST-style: the week is cut into 7 patches of 24 hours, each patch becomes one token, and\n",
    "    self-attention relates every day of the week to every other. 7 tokens instead of 168 makes attention\n",
    "    far cheaper, which is how modern forecasting Transformers handle long inputs.'''\n",
    "    def __init__(self, n_in, n_fut, d=64, heads=4, layers=2, patch=24):\n",
    "        super().__init__()\n",
    "        self.patch = patch\n",
    "        self.embed = torch.nn.Linear(n_in * patch, d)\n",
    "        self.pos = torch.nn.Parameter(torch.randn(1, L // patch, d) * 0.02)          # learned position per day\n",
    "        layer = torch.nn.TransformerEncoderLayer(d, heads, dim_feedforward=128, dropout=0.1, batch_first=True)\n",
    "        self.encoder = torch.nn.TransformerEncoder(layer, layers)\n",
    "        self.head = torch.nn.Sequential(torch.nn.Linear(d * (L // patch) + n_fut * H, 128), torch.nn.ReLU(), torch.nn.Linear(128, H))\n",
    "    def forward(self, x, f):\n",
    "        tokens = x.reshape(x.shape[0], L // self.patch, -1)                          # (batch, 7 days, 24 h x features)\n",
    "        z = self.encoder(self.embed(tokens) + self.pos)\n",
    "        return self.head(torch.cat([z.flatten(1), f.flatten(1)], 1))\n",
    "\n",
    "torch.manual_seed(0)\n",
    "t0 = time.perf_counter()\n",
    "p, ep = train_torch(PatchTransformer(Xtr.shape[2], Ftr.shape[2]), lr=1e-3)\n",
    "score(\"Transformer (PyTorch)\", to_log(p), time.perf_counter() - t0); print(f\"   stopped after {ep} epochs\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "41cd42e6",
   "metadata": {},
   "source": [
    "### 2.6 Results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "4148830e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-18T02:11:04.712903Z",
     "iopub.status.busy": "2026-10-18T02:11:04.712430Z",
     "iopub.status.idle": "2026-10-18T02:11:05.175770Z",
     "shell.execute_reply": "2026-10-18T02:11:05.174045Z"
    }
   },
   "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>MAE (bikes/h)</th>\n",
       "      <th>RMSE (bikes/h)</th>\n",
       "      <th>seconds</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>XGBoost</th>\n",
       "      <td>44.6</td>\n",
       "      <td>71.0</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GRU (PyTorch)</th>\n",
       "      <td>46.4</td>\n",
       "      <td>75.0</td>\n",
       "      <td>160.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LSTM (Keras)</th>\n",
       "      <td>50.0</td>\n",
       "      <td>81.4</td>\n",
       "      <td>142.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Transformer (PyTorch)</th>\n",
       "      <td>50.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>29.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Seasonal naive (7 d)</th>\n",
       "      <td>75.9</td>\n",
       "      <td>129.8</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Prophet</th>\n",
       "      <td>84.9</td>\n",
       "      <td>125.4</td>\n",
       "      <td>7.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SARIMA</th>\n",
       "      <td>94.3</td>\n",
       "      <td>140.6</td>\n",
       "      <td>44.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       MAE (bikes/h)  RMSE (bikes/h)  seconds\n",
       "XGBoost                         44.6            71.0      2.5\n",
       "GRU (PyTorch)                   46.4            75.0    160.8\n",
       "LSTM (Keras)                    50.0            81.4    142.9\n",
       "Transformer (PyTorch)           50.0            83.0     29.0\n",
       "Seasonal naive (7 d)            75.9           129.8      0.0\n",
       "Prophet                         84.9           125.4      7.7\n",
       "SARIMA                          94.3           140.6     44.5"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1300x380 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "table_a = pd.DataFrame(results).T.sort_values(\"MAE (bikes/h)\").round(1)\n",
    "display(table_a)\n",
    "\n",
    "week = slice(0, 24 * 7)\n",
    "idx = bike.index[bike.index >= TEST_START][week]\n",
    "plt.figure(figsize=(13, 3.8))\n",
    "plt.plot(idx, y_true[week], color=\"black\", lw=2, label=\"actual\")\n",
    "for name in [\"XGBoost\", \"GRU (PyTorch)\", \"Prophet\", \"Seasonal naive (7 d)\"]:\n",
    "    plt.plot(idx, forecasts[name][week], lw=1.2, label=name)\n",
    "plt.legend(ncol=5, fontsize=8); plt.title(\"First test week: day-ahead forecasts\"); plt.ylabel(\"bikes per hour\")\n",
    "plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "4eda5db1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-18T02:11:05.180928Z",
     "iopub.status.busy": "2026-10-18T02:11:05.180531Z",
     "iopub.status.idle": "2026-10-18T02:11:05.480591Z",
     "shell.execute_reply": "2026-10-18T02:11:05.478911Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 600x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "imp = pd.Series(xgb_model.get_booster().get_score(importance_type=\"gain\")).sort_values()\n",
    "imp.tail(10).plot.barh(figsize=(6, 3.6), color=\"#4f46e5\", title=\"XGBoost: what drives the forecast (gain)\")\n",
    "plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e2de2ee3",
   "metadata": {},
   "source": [
    "### Why gradient boosting wins here\n",
    "**XGBoost has the lowest error** (about 45 bikes per hour against 76 for seasonal naive) and trains in\n",
    "seconds. The GRU comes close, within a few percent, after minutes of training; the LSTM and the\n",
    "Transformer land a little further back. SARIMA and Prophet do worse than the one-line baseline: SARIMA's\n",
    "linear structure, fitted on recent weeks, cannot represent the switch between working-day and weekend\n",
    "patterns or the non-linear effect of weather, and Prophet never looks at the last few days, so it cannot\n",
    "adjust to the current level of demand.\n",
    "\n",
    "What makes this a gradient-boosting problem:\n",
    "1. **The information is in a few strong, known features.** Hour of day, working day and weather decide\n",
    "   most of the demand, and all of them are known when the forecast is made. A model that maps features to\n",
    "   demand needs no memory of the past beyond a few lags.\n",
    "2. **Sharp interactions.** \"Rush hour, but only on working days\" and \"rain drops demand sharply\" are\n",
    "   exactly the if-then splits trees are made of; a neural network has to approximate them with smooth\n",
    "   functions.\n",
    "3. **Little data.** 21 months of one city is about 5,000 training windows: plenty for trees, modest for\n",
    "   networks with tens of thousands of weights.\n",
    "4. **Mixed inputs.** Categories, binary flags and continuous values of different scales need no scaling or\n",
    "   embedding for trees.\n",
    "5. **Cost and clarity.** Seconds instead of minutes, and a feature-importance chart that explains the model.\n",
    "\n",
    "The networks were not useless: from the raw week of history they rediscovered most of the structure the\n",
    "lag features gave XGBoost for free. With far more data (many cities, many years) that advantage grows."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "22cd4fd8",
   "metadata": {},
   "source": [
    "## 3. Example 2: river flow driven by rain\n",
    "Hydrologists forecast river flow to warn of floods. The flow at a river gauge depends on the rain that\n",
    "fell on the catchment, but not in a simple way: rain first fills the soil, and only a wet soil produces\n",
    "runoff; water then reaches the river over hours to days along slow and fast paths, with a delay and a shape\n",
    "specific to each catchment. The soil moisture is a **hidden state** that is never measured directly.\n",
    "\n",
    "We simulate **24 catchments** with a standard conceptual model (a soil store with a non-linear runoff\n",
    "threshold, fast and slow reservoirs, and a catchment-specific routing delay), each with its own unknown\n",
    "parameters, so the true behaviour is known and no licensing issue arises. On large real datasets of this\n",
    "kind (for example CAMELS, 671 US catchments) LSTMs have outperformed both conceptual hydrology models and\n",
    "tree ensembles, which is what this example reproduces in miniature.\n",
    "\n",
    "**Task:** at each forecast origin, given the last 96 hours of rain and flow and the **rain forecast for the\n",
    "next 48 hours**, predict the flow for those 48 hours. One model for all catchments, without telling it\n",
    "which catchment it is looking at: it has to recognise the catchment's behaviour from the history."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "72083d55",
   "metadata": {},
   "source": [
    "### 3.1 Simulating the catchments"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "3c4eaaf5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-18T02:11:05.485122Z",
     "iopub.status.busy": "2026-10-18T02:11:05.484732Z",
     "iopub.status.idle": "2026-10-18T02:11:11.863747Z",
     "shell.execute_reply": "2026-10-18T02:11:11.862250Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "simulated 24 catchments x 17,520 hours in 2 s\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABQoAAAHCCAYAAACnqfSSAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjExLjIsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvgI3uAAAAAAlwSFlzAAAPYQAAD2EBqD+naQABAABJREFUeJzsnXeYE1UXxt9JdjfJ9kpvIgrSESkqfmAFOwIKFrAgFuwVEBVQmoh+qCgioiiCIojYKJ+FKr333sv23WTT23x/TO7kzmSSzRZ2Kef3PD6yk8lk6p173/uecwRRFEUQBEEQBEEQBEEQBEEQBHFRo6vuHSAIgiAIgiAIgiAIgiAIovohoZAgCIIgCIIgCIIgCIIgCBIKCYIgCIIgCIIgCIIgCIIgoZAgCIIgCIIgCIIgCIIgCJBQSBAEQRAEQRAEQRAEQRAESCgkCIIgCIIgCIIgCIIgCAIkFBIEQRAEQRAEQRAEQRAEARIKCYIgCIIgCIIgCIIgCIIACYUEQRAEQRAEQRAEQRAEQYCEQoIgCII46yQmJuLZZ5+t7t24aKhXrx4eeeSRKtnu2fotovzk5+dDEARMnDhRXrZ161YIgoB58+aFrHv//fejRo0aEAQBb775JgBg06ZN6NKlCxITEyEIAlatWlWlx0AQBEEQBFFdkFBIEARBEKWQmZmJxx9/vLp3o1opzzlYuXIlunbtioSEBKSmpqJXr144dOjQWdpDAqB7tawMGzYMa9aswcaNGyGKIkaPHg2fz4e+ffuiTp06yM7OhiiK6NKlS3XvalieffZZJCYmVvduEARBEARxgRBT3TtAEARBEMSFx+rVq3HTTTdh0KBBWLBgAaxWK5544gl06dIFW7ZsQa1atc7ab588efK82i5x9mnbti1EUQxZvnTpUnTt2hUNGjSQl504cQKHDh3Cu+++SwIcQRAEQRAXHeQoJAiCIAii0nn11VfRqFEjfPzxx0hLS0P9+vUxc+ZMFBcXY8yYMdW9ewQBAMjNzYXJZApZBiBkOUEQBEEQxMUACYUEQRDEBct3332Ha665BklJScjIyMDdd9+N7du3y59fddVVEAQBgiAgJiYGderUwYABA3Dq1CkAgNVqhSAIKCgowPTp0+V11WGIpf0OY/369bj66qthMplwySWX4PPPPw9Zh+UzXLlyJTp06ID4+HhcddVV2LBhAwBg+fLl6NixI0wmE5o1a4YlS5ZoHvvMmTPRsWNHxMfHIzExETfffDPWr1+v+VuR9ivac8Bz+vRprFmzBnfddRd0umBXIzMzE9dddx3mzp2rWH/kyJEQBAHLli0Lu03Gzz//jKuvvhqpqalIT09Ht27dsGjRIsU6WnkDK+O8RpuPsLT7Sr1P//77L6655hqYTCaMHj26XMcezXXyer0YO3YsmjZtCoPBgKysLPTr1w+HDx+Oar+WLVsGQRCwePFifPTRR2jYsCGSkpLQp08fFBcXAwAmTZqERo0awWQy4ZZbbsGJEycU2/Z6vRg1ahSaNm2K+Ph4NGjQAA8++CAOHDhQ6nnV4vDhw7j77ruRmJiIzMxMPP/883C5XCHrqXMUfv755xAEASUlJZg6dap8vgRBQKdOnQAA99xzDwRBQMuWLeXt2Gw2DBs2DE2aNEFcXBxq1qyJgQMHIi8vT16HP0+TJ0/GpZdeCr1ej61btwIAduzYgd69eyMzMxMGgwFXXHEFJk+erNjfxx9/HJmZmSgpKcEjjzyClJQUpKam4uGHH4bVapXXu+OOO/Dpp5/CZrMpjiGS+5Vtu6ioCAMGDEB6ejpatWolfz5jxgz5GUlKSsItt9yCjRs3KrYxb948dO7cGampqcjIyMANN9wQ8swYjUa8+OKLWLp0Ka688koYjUZcdtllmDJlSsg+eb1ejB49WnFvPvDAAzhy5IjmNteuXYvOnTvDaDSicePGmDZtWsg2o9nHyjxegiAIgrhgEAmCIAjiAuTVV18VY2NjxdGjR4vHjh0TCwsLxd9++0187LHHNNe32+3imjVrxPbt24vt27cXPR6P/FlGRoY4cODAcv9OQkKCeNttt4n33nuvuHfvXrGwsFB87bXXRADiihUrFNtLSEgQe/ToIfbr1088dOiQmJOTI/bs2VPMzMwUV61aJfbu3Vs8cOCAmJubK/bu3VtMSEgQCwoKFNsYOnSoGBcXJ3744Ydidna2ePr0afG5554TDQaDuGHDhnLtV6RzoGbx4sUiAHHatGkhnz3//PMiADE3N1deNmLECBGAuHTp0ojbXb16tajT6cQxY8aI+fn5osViEVeuXCnefvvtotPplNerW7eu+PDDDyu+WxnnVWu7Wst4It1XCQkJYvfu3cW77rpL3L17t3j8+HHx119/rdCxR7pO999/v2gymcQZM2aIRUVF4pYtW8SrrrpKzMzMFI8dO1bqfi1dulQEIPbu3VscP368mJ+fL27dulVs0KCB2Lt3b/HDDz8Ux4wZI+bl5Ynbt28XGzVqJN50002KfXjzzTfFlJQUcfHixaLNZhNPnz4t/vDDD+LgwYPDnsNw5Ofni3Xq1BHbtm0rbt68WSwuLhZnzJgh9uvXTwQgvv/++/K6W7ZsEQGIc+fOVWwjISFBfPLJJxXL1qxZIwIQf/75Z8Vyu90udujQQWzYsKG4cOFC0WKxiNu3bxc7deokNm/eXLTZbKIoivJ56tWrl/jWW2+JZ86cEZcuXSru2bNHXL16tWgymcR77rlH3LNnj2ixWMQ5c+aISUlJ4vDhw+XfGjhwoJieni4OGDBAXLRokWixWMSFCxeKiYmJ4jPPPKPYr2eeeUZMSEiI+ryxbd97773iH3/8IRYWFopfffWVKIpSe2YwGMSPPvpIzMnJEU+dOiUOHjxYNBqN4ubNm0VRFMUVK1aIgiDI94DZbBZXrFgh3nrrraLX65V/x2AwiD169BB79uwp7t+/X8zLyxPHjh0rCoIgfvjhh4p9uvfee8X4+Hjx22+/FYuLi8XNmzeL7dq1E2vUqCGeOHFCsc3bb79d7Nu3r7hv3z6xoKBAfPnll0UA4po1a+T1ot3HyjxegiAIgrhQIKGQIAiCuODYsWOHKAiC+Prrr5f5u6tWrRIBiGvXrpWXhRNfov2dhIQEMSMjQywpKZGXeTwesUaNGmL//v1D1s3MzBStVqu8bP/+/SIAsX79+qLFYpGXHzp0SAQgfvrpp/KyPXv2iIIgKEQHURRFv98vXnnllWL37t3LtV9lEQpnzZqlKcqIoii+/fbbIgBx9+7dUW2LZ/z48aIgCAphTItwQmFFzmu47ZYmFDK07quEhAQxMTFRLC4uLvX70R57uOu0fv16EYD4zjvvKJYfO3ZMjI2NVXwn3H4xAaxPnz6K5R9++KGo0+nEBx54QLH8o48+EgEoRMguXbqIN998c+SDjZK33npL1Ol04r59+xTL33zzzbMiFH7wwQchgpQoiuLRo0fFmJgY8ZNPPhFFMXiebr311pB9bteundisWTPR7XYrlo8fP16Mi4sTc3JyRFGUxDwA4vz58xXrPf3006LRaBR9Pp+8rDxCIQBx1qxZiuU7d+4UBUEQR4wYoVju9/vF1q1bi7fffrsoiqI4evRoUafTKURvLQwGg5iamqp4tkRRFPv06SMmJyfLz+Lq1atFAOLYsWMV6x05ckSMiYlRXB+DwSBmZWUpnmOXyyVmZGSIjz76qLwsmn2s7OMlCIIgiAsFCj0mCIIgLjgWLVoEURTxwAMPRFxv586duPfee1G7dm3ExMQoQjUPHjxYab8DAP/5z38UhRFiYmLQtGnTkLBPALjuuuuQkJAg/92kSRPExMSgbdu2SEpKkpc3btwYBoNBsY0//vgDoiji3nvvVWxTEATccMMNWL58ebn3q6wIglCuz8LRpk0biKKI+++/H8uXL9cMMY1ERc5rWSjLfdW1a1ekpKSUus2KHvvff/8NAOjVq5dieYMGDdCxY0f582j269Zbb1X83axZM/j9fnTt2lWx/IorrgAAxXls06YNli5dihEjRmDXrl2aBUai5e+//0bTpk1x+eWXK5b37Nmz3NuMxG+//YZ69eqhc+fOiuUNGzZEkyZNQp6tu+66S/H3qVOnsGXLFvTs2ROxsbGKz2666Sa43W6sWbNGXiYIQsi5btmyJZxOJ06fPl3h41Hv3++//x5V29GmTRv4/X7cf//9WLFiBdxud9jfuP766xXPFiBdH4vFIof3hrs3GzVqhPbt24fcm926dVM8x3Fxcbj88stD7rPS9vFsHC9BEARBXAiQUEgQBEFccLBiBHXr1g27zunTp3HttdeiuLgYixYtgsVigSiKch4xj8dTKb/DqF27dsiy5ORkObdbpHUFQUBCQoLmNhITExXbyM7OBgC0b98eMTEx0Ov10Ol00Ol0mDhxIpxOJ+x2e7n2K1oyMjIAAEVFRSGfse2mp6eXebs9evTA9OnTceDAAXTr1g0pKSm46aabsHDhwqi+X5HzGi1lva+iuXeAih97QUEBAGhWm65Vqxby8/Oj3i/1+WJCULjl/HkcP348nn/+eXzxxRdo2bIlatSogQEDBpQrR2FBQQFq1qwZslxrWWWQnZ2NkydPIiYmRvFsCYKAvXv3yueYoT6H7NmcMGGC/H22jauuuko+JkZaWhqMRqNiG8nJyQBQoeeTbUdd0ZntX5s2bULajkmTJsFqtcLtduOOO+7AF198gT179siC8i233ILFixeH/E6k68PuubLem9G0WdHs49k4XoIgCIK4ECChkCAIgrjgyMrKAoCQ4hE8CxYsgMViwaeffoq2bdsiPj4eAEKS51f0dxhlcdCFWzeabWRmZgIA9u3bB6/XC5/PB7/fD7/fD1FKOSIfa1n3K1pYYYR9+/aFfLZnzx7UrFkTNWrUKNe2H3vsMezYsQO5ubmYNWsWPB4Pbr/9dixdurTU71bkvEZLWe8rtbMsEhU5dibM5uTkhHyWk5Mj3zfR7FdFzmNiYiI++OADnD59Gvv27cOoUaPwzz//4LrrroPNZiv1+zwZGRlhj+dskJmZiWbNmsHr9SqeLfZc/fPPP4r11eeQneN33nlH/r56G4899pi8/tl4NsPtG79/hw4dCtt2xMXFAQAGDRqEnTt3IicnBzNnzoTD4cBtt92GlStXKrYZ6fqwCYWy3pvRnpfS9vFsHC9BEARBXAiQUEgQBEFccNx+++0QBAGzZ88udV2DwaD4+9tvvw1ZJyEhQTPUsyy/U1WwfZozZ06lbjfcOdCiTp066NSpE3799Vf4/X55eX5+PlauXIk+ffpUeH+ysrLQu3dvzJo1CwDOuQF7NPdVeYl07OGu04033ghAqpzMc/LkSaxfv17+vKoQBAGXX345Bg8ejDfffBM5OTmawnIkbrjhBuzbty/EjfjLL79U5q7K3Hnnndi3bx+2bdtWru83bNgQrVq1wvz58+H1eittvxISEiolHPaOO+4AgDK1HTVq1ECfPn0wc+ZMiKIY8hwuW7ZMUaUZkK5PUlISOnToACD8vXns2DFs2rSpwvdmuH08G8dLEARBEBcCJBQSBEEQFxwtWrTAyy+/jP/+978YO3YsTpw4geLiYvz+++8YOHAgAOCWW26B0WjEa6+9hpycHJw5cwZvvPEGYmJiQrbXsmVLrF+/PiQvWDS/U9W0bNkSQ4cOxahRo/Dee+/h+PHjcDgc2L17Nz744AMMHjy43NvVOgfhmDhxIo4cOYLnn38eRUVFOHnyJPr374/k5GQMHz5cse7IkSMhCAKWLVsWcZsjR47E22+/jW3btsFutyMvLw+ffvopBEEIyY9XXZTlvioL0R57uOvUsWNH3HfffRg7dixmzpwJs9mM7du3o3fv3khMTMSbb75Zof2LljvvvBNfffUVDh06BJfLhf3792POnDmoVasWmjVrJq931VVXhYTGqnn++edRs2ZN9O3bF1u3boXZbMbMmTNx6NChs7Lvzz33HDp27IiePXti/vz5yM/PR3FxMdauXYtnnnkmKjF46tSp2Lt3L+69915s2bIFdrsdJ06cwM8//4zrr7++zK5KQLrmHo8HixYtgs/nK8+hAZBCcF977TW8/fbbeP/99+W2Y9euXZg4cSKeffZZAMBbb72FESNGYPv27bDb7cjNzcVnn32m+Rx27NgRDz/8MA4ePIiCggJMmDABP/30E95++205z+A111yDXr16YfTo0Zg9ezbMZjO2bt2KPn36ICUlJaS9iIZo9vFsHC9BEARBXAiQUEgQBEFckEycOBHTpk3DggUL5IIHX375JV588UUAUiGLBQsW4NChQ7jkkkvQqVMnmEwmjBw5UnNbWVlZaNKkiaIwRTS/Ux2MHTsWs2bNwqJFi9CqVStkZmaib9++yM3NxRtvvFGubUY6B1p06dIFf/75J7Zv34569eqhRYsWMBqNWLVqlWaOsWh47rnnYDQa8eijjyIrKwstWrTAxo0bsXDhwnNmwF6W+6osRHvska7TrFmzMGzYMLz77rvIysrCDTfcgIYNG2LdunVo1KhRhfYvWsaPH4+1a9eie/fucp7FRo0aYdWqVYqQeKvVijp16kTcVlZWFlasWIG6devi2muvRePGjbF27VpMmDDhrOy7yWTCsmXL8Nhjj+Htt99G/fr1cemll+KVV15Bq1atQopiaHH11Vdj06ZNSExMxB133IHU1FRcd911mD17NkaOHKko0hEt999/Px599FH0798fsbGxEAQBJ0+eLM8hYsKECfjmm2/w+++/o2XLlsjMzES/fv1QUFCAYcOGAQBeeOEFxMXF4eGHH0ZWVhZatmyJrVu3YsmSJbj22msV22vWrBmefvpp9OnTB3Xr1sUXX3yBjz/+GK+++qpivR9++AGvvfYaRowYgaysLNx000249NJLsXbtWtSvX7/MxxHtPlb28RIEQRDEhYAgVqTcHEEQBEEQBEFUIjk5OahVqxa+/fZb9O/fv7p3hygnRqMRTz31FCZNmlTdu0IQBEEQRBkgRyFBEARBEARxzvD333+jRYsWePDBB6t7VwiCIAiCIC46SCgkCIIgCIIgzhkeeOAB7Ny5EzoddVMJgiAIgiCqGuqBEQRBEARBEARBEARBEARBOQoJgiAIgiAIgiAIgiAIgiBHIUEQBEEQBEEQBEEQBEEQIKGQIAiCIAiCIAiCIAiCIAgAMdW9A+cqXq8XW7ZsQc2aNSmZNkEQBEEQBEEQBEEQxAWA3+9HTk4O2rVrh5gYksXU0BkJw5YtW9CxY8fq3g2CIAiCIAiCIAiCIAiiklm/fj06dOhQ3btxzkFCYRhq1qwJQLpxateuXc17QxAEQRAEQRAEQRAEQVSUM2fOoGPHjrLuQyghoTAMLNy4du3aqFevXjXvDUEQBEEQBEEQBEEQBFFZUJo5beisEARBEARBEARBEARBEARBQiFBEARBEARBEARBEARBECQUEgRBEARBEARBEARBEAQBEgoJgiAIgiAIgiAIgiAIggAJhQRxTiGKIka+UYAxIwogimJ17w5BEARBEARBEARBEBcRVPWYIDRImZ0b9brmB2pU2u8WFfqxdZMLAGCzikhMEipt2wRBEARBEARBEARBEJEgoZAgziH8/uC/HQ4/EpPI9EsQBEEQBEEQBEEQ1UlBQQEmT56M/fv3o0GDBnj66afRoEGDsOsvW7YMkydPDln+3XffwWg0lnu7VQEJhQRxDuHxBMONbVYRWTWkcGRriYikZBINCYIgCIIgCIIgCKIqKSoqQseOHdGwYUPcf//9WLRoEdq1a4cNGzagcePGmt85evQoli5diqlTpyqWx8bGVmi7VQEJhQRxDuF2c0KhTbIXfjPdgt/m2zBsZDqu6mgM91WCIAiCIAiCIAiCICqZSZMmwel0YuHChTAajRg4cCCuuuoqvPPOO5gxY0bY75lMJvTp06fSt3u2IYsSQZxDeNxKRyEALJhrg88HjH6rED4fFTghCIIgCIIgCIIgiKpi4cKFuOOOO+SQYZ1Oh969e2PhwoURv2exWPD4449j0KBB+PTTT+F0Oitlu2cbEgoJ4hxC4Si0So7C5JTgY7putTPkOwRBEARBEARBEARBlI2SkhJYLBb5P5fLpbne4cOHQ/IGNmjQAHl5ebBarWG337lzZ7Rv3x4tW7bE5MmT0bZtW5jN5gpv92xDQiFBnEO4XaGhx14ub+H+ve4q3yeCIAiCIAiCIAiCuNBo3rw5UlJS5P/GjRunuZ7L5UJ8fLxiWWJiIgCEuAQZd999N/73v//h6aefxgsvvIC1a9fCbDZj/PjxFdpuVUA5CgniHMLtCf7bZhXhdouw24NCYfYZXzXsFUEQBEEQBEEQBEFcWOzevRt169aV/zYYDJrrpaSkoKioSLGsoKAAOp0OycnJmt9JS0sL2Ua3bt2wYcOGCm23KiChkCDOITyqYibmYr/i8+wz3qreJYIgCIIgCIIgCIK44EhKSopKkGvdujW2b9+uWLZ9+3Y0bdoUcXFxUf+e2WyGXq+v9O1WNhR6TBDnEOocheZipYMw+4wPoijC6xXx1VQzNm2gnIUEQRAEQRAEQRAEcbZ46KGHsGTJEuzatQsAcOrUKfzwww946KGH5HX+/vtv9OnTRw4Z/v777xU5D5ctW4Y///wTd999d5m2Wx2Qo5AgziEUQqFNRHHAUVivQQxOnfDC6RBhMfuxZpUTv8634df5NixYUqe6dpcgCIIgCIIgCIIgLmgeeOABLF++HFdffTU6dOiArVu34uqrr8Yrr7wir3PkyBH89NNPmDFjBgDgzJkzaNq0KZo0aQK73Y4tW7bgpZdewlNPPVWm7VYHJBQSxDmEJ8RRKAmFWVl6OOx+FOT7kX3Gh9wcylVIEARBEARBEARBEGcbQRDwxRdf4JVXXsG+ffvQoEEDtG3bVrHOTTfdhLlz58JkMgEAXn75ZQwcOBCbN2+GXq9H8+bNkZmZWebtVgfVLhTu2bMHU6dOxd69ezFhwgS0bt064vo2mw0zZszA6tWrERMTgy5duuCRRx5BbGysvM4nn3yCP/74Q/G9Ro0a4fPPPz8rx0AQlYXaUchCj1NSdajljkFBvhvZZ7zQUdIAgiAIgiAIgiAIgqgymjZtiqZNm2p+1qhRIzRq1EixLCUlBddff32FtlsdVKtQOGbMGHz33Xfo1asXlixZgqFDh0Zc3+/3o2XLlrjjjjtw++23w263Y+zYsZg3bx4WLVoEXUA92bVrF2w2G4YPHy5/Nykp6aweC0FUBm538N+8ozA1TQedDti1Q8pTKJBQSBAEQRAEQRAEQRBEJVOtQuHAgQMxfPhwnDx5EmPHji11fUEQsHHjRmRkZMjL2rRpg44dO2LDhg3o1KmTvLxmzZro0aPHWdlvgjhbhAs9TknVIzZWAACYi3xISg4qhT6fCL1eqNodJQiCIAiCIAiCIAjigqNahcJatWqVaX1BEBQiIQDUqFEDAGC1WhXLt27dil69eiElJQXXXXcdHnnkEdlxSBDnKnzosd0uoqiICYU6iKL0mcMhIiU1KAy6XSJM8SQUEgRBEARBEARBEARRMc575eyDDz5ARkaGwk0YFxeH7t27o1+/fmjdujXefPNN3HrrrbLQooXL5YLFYpH/KykpqYrdJwgFblfwHvX7gewzXgCSUGgySY+rw6G8j9V/EwRBEARBEARBEARBlIdqL2ZSEWbMmIHPPvsMP//8MxITE+XlY8eOVfx9yy23oHXr1pg/fz569+6tua1x48Zh1KhRZ32fCSISbo9S9MvLCRYzKbFI7kKH3a9wHrqcJBQSBEEQBEEQBEEQBFFxzltH4Q8//IAnnngCX3/9Ne68807FZ7xICAAtWrRAw4YNsXnz5rDbGzZsGMxms/zf7t27z8p+E0Qk+ByFgOQqBIDUVD1MJim82OEQ4eKchw4SCgmCIAiCIAiCIAiCqATOS0fhjz/+iIcffhjTpk1D//79S13f7/ejuLgYcXFxYdcxGAwwGAzy3xaLpVL2lSDKgtulvTwlRQdTfCD02K4UCl1Of1XsGkEQBEEQBEEQBEEQFzjnvKNw0qRJeOqpp+S/582bh/79++OLL77Aww8/HLK+x+PB1KlT4Q9YsURRxLvvvguz2YyePXtW1W4TRLlQhx4DQHyCgNg4QXYU2lWhx07KUUgQBEEQBEEQBEEQRCVQrY7CP//8Ex988AFcLslG9frrryM9PR0PPfQQHnroIQDAzp07sXbtWgCA2WzGAw88gJSUFHz//ff4/vvv5W299NJL6N69O/R6PXbu3Il69erh0ksvxcmTJ+FyufD999+jTZs2VX+QBFEGWOhxcooOFrMkdqemSno+H3rMFz2hYiYEQRAEQRAEQRAEQVQG1SoUNm/eHC+++CIAYMiQIfLyJk2ayP9+6aWXUFxcDACIj4/Hr7/+qrmtFi1aAAB0Oh0++eQTvPvuu9i1axfS0tLQpEmTiGHHBHGuwATAGjX1slCYkqoHADn02OlQhx6TUEgQBEEQBEEQBEEQRMWpVqGwbt26qFu3bsR1mAAIALGxsejRo0dU205NTcW1115bof0jiLPJ6VNefPe1BX36JaFxk1gUFvhgtUriYI2aehzc7wEgVTwGgPh4yVHo9wPWkmBeQipmQhAEQRAEQRAEQRBEZXBeFjMhiAuB8aMKcfyYFxvXOTH8nQy8+1YBvJI2iBq19PJ6LPTYYBTkZebioFDodFAxE4IgCIIgCIIgCIIgKs45X8yEIC5Ujh/zAgDcbmDE0KBICAA1awY1fOYo1OkEGAN5CouLguIghR4TBEEQBEEQBEEQBFEZkFBIEOcgvKOQ5SgEggVNXFTMhCAIgiAIgiAIgiCISoaEQoI4B6lRkws9Tgs+pqZ4IWRdchQSBEEQBEEQBEEQBFEZkFBIEOcgCQk6JCVJoiALPQYAkyn0kXWSUEgQBEEQBEEQBEEQRCVAQiFBnIPExgq4/uZ4NGocg8ZNYuXlLPSYh0KPCYIgCIIgCIIgCIKoDKjqMUGcg8TFAY89mRKyXDv0mKoeEwRBEARBEARBEARRcchRSBDnILFxoYIgAMTHU+gxQRAEQRAEQRAEQRBnBxIKCeIcoXadYAETnU5bKNQKPQ4nFO7e6cLrL+Th4H535ewgQRAEQRAEQRAEQRAXNCQUEkQ14HGHintXtIgr9XtGjdBjZ5gchW+8UoD9ez0YNbyw7DtIEARBEARBEARBEMRFB+UoJIhqwG4PzSvY5koDGjeJRY2a4R9LrarHBQU+2Gx+GAwCfD7AYFCKiSUWymFIEARBEARBEARBEETpkFBIENWA3R7qAjTF69D1hviI30tODgqFKak6JCXrcPK4F8v+cuDv/9mRl+PF59/UREICmYUJgiAIgiAIgiAIgigbpCYQRDVgt4W6/LTyD6pp3CRW/necQUC3G00AgGmfmXH4oAclJSLOnPIqvqOjp5wgCIIgCIIgCIIgiCggCYEgqgFtR2HpQuEllwaFQkuxH11vMEGvV67jUG1bp/qcIAiCIAiCIAiCIAhCCxIKCaKKWf6PHW+9XhCyXCv/oJq4uKCY6HKJyKoRg9HvZ+CxJ5Pl5er8h/owFZQJgiAIgiAIgiAIgiB4SCgkiCrmv+8Vay6PJvQYAFJSlI/tFS0MuKtXItpcaQAQ6lbUUyZSgiAIgiAIgiAIgiCigIRCgqhCPJ7QkGNGtELhTT2kgidqwTA+ELqsDj3W68lRSBAEQRAEQRAEQRBE6VS71+jMmTOYPn069u7di+HDh+OKK64o9TuHDh3CV199hZycHLRq1QpPPPEETCZTmdchiKrm2BFP2M8MxugEvX79k5CUpEP7jgbFciYU2u1+iGJQLKRiJgRBEARBEARBEARBREO1SgiTJk1Cp06dcOrUKcyaNQs5OTmlfmf79u1o164dDh8+jFatWuGrr75C165d4Xa7y7QOQVQHB/aFFwp1UeYSjI0V0PPeRNRvGKtYboqXHmeHXQR/q6uLnRAEQRAEQRAEQRAEQWhRrULhHXfcgUOHDmH48OFRf2fo0KG4+uqr8f333+OFF17An3/+iR07duCbb74p0zoEUR0c2Hf2xOpg6LEfDkewoIlAkccEQRAEQRAEQRAEQURBtYYeN2nSpEzru91u/PXXX5gyZYq8rEaNGrjhhhvw+++/Y9CgQVGtQxDVxZnTPgDAoMEpAIBf51uRk+2rlG3HBxyFdruoyFPo9VbK5gmCIAiCIAiCIAjiosTv92PRokXYv38/GjRogDvuuAMGg6H0LwIwm834/PPPUadOHfTv319evmPHDvzxxx8h67/yyiuIjY0NWV5VnFfZy44fPw6Px4OGDRsqljds2BCHDx+Oeh0tXC4XLBaL/F9JSUnlHwBx0eNySQJerTp63H53AkzxlWf3MyWwHIUiHI6gUOh2hy+gQhAEQRAEQRAEQRBEeNxuN7p3747Bgwdj7969eOutt9CpUycUFxdH9f0nnngCY8aMwaeffqpYvmnTJowdOxbFxcWK//iaA9VBtRczKQsOhwMAkJiYqFielJQkfxbNOlqMGzcOo0aNqszdJYgQmGgXFxcQCCvx+WdVkx12P5xc6LHbRUIhQRAEQRAEQRAEQZSHadOmYcOGDdi9ezfq1KkDi8WC1q1bY+zYsZgwYULE737xxRc4ffo0+vbtix07doR8npycjPHjx5+tXS8X55WjMCVFCtcsKipSLC8sLJQ/i2YdLYYNGwaz2Sz/t3v37srcdYIAAHhUQiErQFIZsNBjh0PpKPT5AJ+PxEKCIAiCIAiCIAiCKCtz587Fbbfdhjp16gCQxL1+/fph7ty5Eb+3a9cujBgxAt999x30YaqMOp1OfP7555g6dSrWrVtX6fteHs4robB+/fpITU3Fzp07Fct37NiBVq1aRb2OFgaDAcnJyfJ/SUlJlX8AxEWP2lE4+IUU1K6jxwuvpVZ42yyM2W73K3IUAuQqJAiCIAiCIAiCIAiekpISRQo6l8ulud6ePXvQtGlTxbKmTZvi6NGjcDqdmt9xOBzo27cvJk6cGJIaj8dgMGDDhg1YtWoVbrrpJvTu3Rs+X+XUMSgv57xQOH36dAwbNgwAIAgC+vXrh+nTp8s5BFevXo3169fjgQceiHodgqgu1EJh/YaxmPJ1TVx/U3yFty07Cu2iouoxALgoTyFBEARBEARBEARByDRv3hwpKSnyf+PGjdNcz2q1hkSopqamyp9p8eKLL6JVq1Z48MEHw/7+tddei4MHD2L69OmYOXMmNm3ahCVLluDjjz8u3wFVEtUqFK5cuRIPPfQQnn/+eQDAmDFj8NBDD2H+/PnyOmvWrMFvv/0m/z127FgkJSWhZcuWuO2229C9e3e89NJLuOWWW8q0DkFUByz0ODau8rcdz4qZ2MQQR6GHhEKCIAiCIAiCIAiCkNm9e7ciBR0zqalJSEiAxWJRLDObzfJnWtudNm0aGjZsiPHjx2P8+PHYunUrTp8+jfHjx+PkyZMAgMsuuwwmk0n+3uWXX46bb74Zf//9d2UdYrmo1mImdevWRY8ePQAAvXr1kpc3adJE/vfjjz+Onj17yn+npaVh7dq1+Pfff5GTk4MPP/wQzZo1U2w3mnUIoqoRRRFut/TvOEPlVTtmsHyHLpcIm03pKHS7AI9HxIfji9CytQG33x3amBEEQRAEQRAEQRDExUJSUhKSk5NLXe/yyy/HwYMHFcsOHjyIevXqKYQ+RkpKCl5//XUAkCsju1wu+Hw+FBcXRwwt1uv1ITU3qppqFQobN26Mxo0bR1ync+fOIcv0ej3+85//RPxeNOsQRFXi8QT/HRd7FoRCU3Cbc75T2p9dbhGrVzqwZpUTa1Y5SSgkCIIgCIIgCIIgiCi45557MHbsWBQUFCAjIwMOhwNz5sxRGN62b9+OhQsX4pVXXkHdunVDKhkXFxdj69atiuXbtm1DmzZt5L9PnDiBP//8Ey+++OJZP6ZIVKtQSBAXE3xBkbPhKIyNFaDTAX5/6GdulzIcWRRFCELl7wNBEARBEARBEARBXEgMHjwYc+fORZcuXXDXXXfhn3/+AQC8+eab8jrr16/HsGHD8OyzzyI2Njaq7X7yySc4ePAgOnfuDLvdjtmzZ+Oqq67Cq6++elaOI1pIKCSIKoIVMtHpgDCV0SuMlkjIfpv/TZtVRGISCYUEQRAEQRAEQRAEEQmTyYQVK1Zg7ty52LdvH5588kn07dsXSUlJ8jpt2rTBkCFDEBenXZCgR48eaN26tWLZl19+iXXr1mHFihWoUaMG5syZgxtvvPGsHks0kFBIEFWExxOseFwVbr4ml8fi9Ekv7HYRbpeoqHxsLvYjMemcL3pOEARBEARBEARBENVOXFxcxArGHTp0QIcOHcJ+ztfe4OnUqRM6depU0d2rVEgpIIgqgoUex8adPZGwx+3xSE7RYcrXNTDxkyw0vESyPLvdImwlQaGwuDh88lSCIAiCIAiCIAiCIC5OyFFIEFUECz0O40SuFJ56PhWDnhGh10tiJMuF6HYrKyGbi8PEKBMEQRAEQRAEQRAEcdFCjkKCqCKCQuHZDTtmIiEAGAK/5XaJsFlJKCQIgiAIgiAIgiAIIjzkKCSIs8zWTU74/YA+RhLtzmbosZrYgHvR7RZhtXI5Cs0kFBIEQRAEQRAEQRAEoYSEQoI4i3g8Ika+UQgAeOG1VABBl19VIIceqxyFFspRSBAEQRAEQRAEQRCECgo9JoiziJurNJyXK4lzVekoZKKkS5WjsJhCjwmCIAiCIAiCIAiCUEFCIUGcRVilYwCwBMJ9q1IoDDoKQaHHBEEQBEEQBEEQBEFEhIRCgjiL8I7CwgLJUViloceB3/J4qJgJQRAEQRAEQRAEQVwozJs3D506dcKQIUOwaNEilJSUVMp2y52jsKCgANu2bUNhYWHIZ3369KnQThHEhYJHQyhkBUaqAuYodDhEOOyco5CEQoIgCIIgCIIgCII4b7n22mtx6NAhLFu2DFOmTIHdbkf79u3RrVs3dOvWDV26dEFSUlKZt1suoXDBggV46KGH4HQ6kZiYGPI5CYUEIeF2B/9dUCCJc0y8qwqMRum3igp8EIM6Iawlfvh8IvT6qtsXgiAIgiAIgiAIgiAqh9q1a2PIkCEYMmQIfD4fNm7ciGXLlmHu3LmYMGEC+vbtix9++KHM2y2XUPj666/jjTfewOuvv46YGCqcTBDh4EOPiwKOwrjYqhPnTPHSb7FCKno94PMBogjYbCKSk0koJAiCIAiCIAiCIIjzlfz8fCxfvhxLly7FsmXLcODAAXTu3Bm33nprubZXLpXv9OnTeOGFF0gkJIhS4IVCr1f6f1U6Ck1GKQ1pfr4kFKak6uQw5BKLH8nJlKaUIAiCIAiCIAiCIM431qxZgyeffBL79u3DlVdeiW7duuGDDz5Aly5dkJCQUO7tlkslaNmyJfbv31/uHyWIiwVeKGTEVWExE2PAUcjyEyYk6JCUJD32JRbKU0gQBEEQBEEQBEEQ5yM5OTnYsWMHrrjiCtx444248cYbcd1111VIJATK6SgcMGAAHnzwQYwZMwZNmjSBICiFj5YtW1ZopwjiQsHtChUKY6tQKDSZlL+VmKRDnEFEbo6PhEKCIAiCIAiCIAiCOE/p2bMnsrOzsWzZMixbtgzPPfccjhw5gg4dOuD6669Hz549ceWVV5Z5u+USCp955hkAQK9evTQ/F8VQcSQcOTk5mD17NnJyctCqVSv07ds3YkjzkCFD4HK5QpZfffXV6Nu3LwBg7ty5+PfffxWfsySPBFGVeDxajsKq+31TvNI0nJAgyAVOSkpIKCQIgiAIgiAIgiCI85WaNWuib9++6Nu3L3w+HxYvXoyRI0fi3Xffxf79+6uumMmZM2fK87UQDhw4gGuvvRbt2rVDx44dMWLECHz99ddYsmQJ9Hq95ncaNmwIN1dKNjs7G++99x4uv/xyednff/+NtWvX4pFHHpGXZWZmVso+E0RZ0HIUVmXosdpRmJCok6sfW8wkFBIEQRAEQRAEQRDE+Yjf78fWrVuxbNkyLF26FCtWrIDVakXr1q3x4osv4t577y3XdsslFNaqVatcP6ZmyJAhaNasGRYtWgSdTodBgwahSZMmmD17Nvr376/5ncGDByv+HjduHEwmEx588EHF8iZNmuDFF1+slP0kiPLCadoyVSoUxocKhSxTAIUeEwRBEARBEARBEMT5ydy5c/HAAw+gdevW6NatGx5//HF07doVqampFdpu1ELh2rVrAQCdO3eW/x2Ozp07l7o9j8eDhQsXYtKkSdDppPDIBg0aoFu3bliwYEFYoVDNV199hfvuuw8pKSmK5YcOHcIbb7yBlJQUXHfddbjmmmui2h5BVCYejWImVZujUBV6nChAr6fQY4IgCIIgCIIgCII4n7nppptQUFBQYWFQTdRC4dVXXw1Ayj/I/h2OaHIUHj9+HC6XC5deeqli+aWXXhqSXzAcy5Ytw8GDBzFjxgzFckEQkJ6eDqPRiMOHD2PkyJF4/PHH8cknn4TdlsvlUuQ+LCkpiWofCCISrmquehwXB+h0gD+gCSYk6BAbGxAKyVFIEARBEARBEARBEOclGRkZZ2W7UQuFvHBWGSKa3W4HACQlJSmWJycny5+VxvTp03HFFVfg2muvVSwfOnQoGjZsKP/dr18/3HDDDbj77rtx0003aW5r3LhxGDVqVFkOgSBKRctRWJVCoSAIMJoE2G3SfiQm6eRiKiQUEgRBEARBEARBEMT5i8fjwZQpU/DDDz/g2LFjyMzMRJcuXfDWW2+VO22grvRVJBITE5GYmKj4d7j/ooEJhMXFxYrlRUVFIeKhFmazGT/99BMGDRoU8hkvEgLA9ddfj/r162PVqlVhtzds2DCYzWb5v927d0dxFAQRGXc1C4WAsqBJQoKApGTpsafQY4IgCIIgCIIgCII4f+nTpw9GjRqFTp06YdiwYejduzdWrVqFtm3bIjs7u1zbLFcxk8qgQYMGSExMxN69e9GjRw95+d69e9G8efNSvz979mz4/X4MGDAgqt9zu93weDxhPzcYDDAYDPLfFoslqu0SRCSYUHhTj3j8tVhyyqalR63PVwqmeB0ASRRMSNQhPoFCjwmCIAiCIAiCIAjifGbbtm1YuXIltm3bhvr168vLhw8fjttuuw1Tp07FiBEjyrzdcikWLpcL7777Llq3bo3U1NRyOQp1Oh169+6NGTNmwOl0AgC2b9+Of//9F/fdd5+83pw5c/Dee++FfH/69Om45557QmKyvV4vli9frlg2e/Zs5OTk4JZbbinroRJEhXC7JKGwTh09pnxVA2+MTEeDRrFVug+8ozAxUYekpICj0OKPKp8oQRAEQRAEQRAEQRDnFocOHULnzp0VIiEA6PV69OrVC4cOHSrXdsslFI4YMQI//PADXn75ZZjNZnz55Zd44okn4PP58MILL0S9nfHjx8PhcKBDhw4YMGAAbrjhBjz00EO4++675XX+/PNPzJw5U/G9bdu2YdOmTZphx4IgYOzYsbjmmmswaNAgdO/eHQMHDsS7776Lrl27ludwCaLcMBNrbJyA2nVj0PFqY5XvgyL0OFFAciD02OMBXC4SCgmCIAiCIAiCIAjifKN27drYsWMHrFZryGf//vsv6tSpU67tliv0+IcffsCCBQvQtm1bPProo+jbty/69euHDh06YMqUKVFvp1atWti6dSsWLVqEnJwcPPHEE+jSpYtinX79+qFbt26KZV6vF5988gmuv/76kG3q9XosWbIEmzdvxpYtW3Drrbdi+vTpqFevXnkOlSAqBBPi4gxVm5eQRwo9lkhI0MFoEuRKyDarCGPVa5cEQRAEQRAEQRAEQVSATp06oVatWujSpQueeeYZNG7cGIWFhZg3bx5+++03bNmypVzbLZdQeOLECbRq1QoAkJCQALPZjNTUVNx555147LHHyrQtk8mEXr16hf1cq0px+/bt0b59+4jbvfLKK3HllVeWaV8IorJhVY/jYqtRKAw4CgUBiE8QIAgCEhJ1KLH4YbP6kZGpr7Z9IwiCIAiCIAiCIAii7Oh0OixevBhvvvkmhgwZgqKiIhiNRlx99dVYuXIlmjZtWr7tludLfr8fer0kLlx66aX4559/AABbtmyJqmIxQVwsuD2SUBhbxZWOeYwBodAUL0Cnk/6dmCj932ajgiYEQRAEQRAEQRAEcT6SkZGBKVOmoLCwEGazGXa7Hf/880+p5rpIlMtRmJCQIP/7hRdewEMPPYTWrVtjx44dZcpRSBAXKm63iDFvF2DXdjeAag49NknzAQmJXAhyog6ADzYr5SgkCIIgCIIgCIIgiPOd5OTkStlOuYRCPlHiY489hksvvRRr1qzB0KFD0bNnz0rZMYI4n1m32oltW9zy33FVW+hYgSle6SIEgIQE6d9WKzkKCYIgCIIgCIIgCOJ8YO3atZg8eXJU61599dV45plnyvwb5RIKv/zySzz++OPy3127dqWKwgTB4XYrnXrV6yiUfjshQe0ohKaj0OcToddX3/4SBEEQBEEQBEEQBBHK0aNH8e+//0alwel05co2WD6hcPDgwXj00UflPIUEQShxu1RCYTXmKKxVW3rMa9cJPu6yUKjKUbhxnRMTxhTh2ZdS8J/r46tuJwmCIAiCIAiCIAiCKJVOnTphxowZZ2375ZIXr7jiinKXWSaIi4HiYp/i7+oUCtt3NGDMxAw89mQwX0ECK2aiCj0e/XYh3C4RH44vrspdJAiCIAiCIAiCIIhzmpMnT2Lp0qU4dOhQmb7n9XqxZMkSrF27tsLbFYSgtvDDDz+gX79+ZdqXaCiXUDho0CDcf//9+O6777B582bs3LlT8R9BXOyYi5UCXHVWPdbpBLRoZYApngs9TmCOQipmQhAEQRAEQRAEQRCReOWVV3DZZZdh6NChaNu2Lfr16wev1xvVd9966y3cfvvtePHFFyu83aysLOzfvx8ul6u8h1Iq5Qo9fu655wAA/fv31/xcFEl8IC5u1EKhoRpzFGrBQo+tJVTMhCAIgiCIs4soigoHBEEQBEGcT8ydOxeTJ0/G6tWr0b59exw5cgTt27fHRx99hFdeeSXid//66y/Mnz8f/fr1w8GDByu83WuvvRZutxtJSUmIjY2Fx+NBamqq5rq9e/fG9OnTy3y85RIKz5w5U56vEcRFQ3GRylEYe251jlnVY3WOQoIgCIIgiMqksMCH157Pww03x+PBR5JL/wJBEARBnGN88803uPnmm9G+fXsAwCWXXIJ+/fphxowZEYXC3NxcPProo5g3bx6+/vrrStmuwWDApk2bsG7dOixYsADr16/XdCoCQP369ct4pBLlEgpr1apVrh8jiIsFs1mdo7CadiQMiUnhqx4TBEEQBEFUFj/PtaIg34+531svCKHQ7xcx/p0imEwCXhqSVt27QxAEQVSAkpISWCwW+W+DwQCDwRCy3tatW/Hoo48qlrVr1w5Tp06Fx+NBbGxsyHdEUcSAAQPwxBNPoFOnTppCYXm2y/bzP//5D1JTU9GhQwf06dMnquONlvLVSiYIIiIhjsJqzFGoBctRePigB08+koPiIl8p3yAIgiAIgig7F1pGolMnvVi/xonl/zhgr2BkhscjYud2F7zeC+wkEQRBnCc0b94cKSkp8n/jxo3TXK+4uBjp6emKZRkZGfD7/Qqhkef9999HSUkJ3njjjbC/X57t8rRu3Rr3339/qeuVlXI5CgmCCI/HLcKuKhKi051jQmFicH9yzviw5A87+j6UVI17RBAEQRDEhciFlpqwsCAoDk7+bzGKi/x4e0w6jMay+y/mzi7Bj7OtuPOeBAx8KkXx2fffWqDTCdQ/IwiCOIvs3r0bdevWlf/WchMCQFxcHBwOh2KZ3W6XP1Nz9OhRvPXWW5g0aRL+/PNPAMCJEydgNpuxePFidO7cGampqWXeblVBQiFBVDJms9SB1OuB199Mk8N8zyWYo5CxbYuLOqIEQRAEQVQ6F5pQmJsdrES5eqUTAPDPnw5c3iwWC3+x4cFHkpGRqY9qWz/OtgIAfvvZphAKLWYf5sySPru9ZwISE8+9viRBEMSFQFJSEpKTS0+L0ahRI5w4cUKx7OTJk0hPT0dSUug42uPx4Prrr8cvv/wiL9u9ezcsFgsmTZqEDz74AKmpqWXeblVBQiFBVDLFxVIYb0qqDp2uMVXz3miToOpw7tnlpvBjgjhH8PlETPvUjJZtDOjS9dxsQwiCIKLlQhMKc7JD+0vHj3jwxWQzAMBuFzH07fSQdbS4vFks9u/1AAAsFj+Sk6X+WX5+0LVYmO8joZAgCKKa6dGjB2bNmiXnDRRFEfPnz0ePHj3kdU6ePImdO3fi5ptvxmWXXYbFixcrtvHUU09h69atiuXRbLc6oLcOQVQyhw5IHb7UtOhmk6sDg0HZaxdFYO9udzXtzbnL/r1uHD7oqe7dIC4y/l5ix+I/7Jg4tqi6d4UgCKLCCBfYaCM3J1QoPHI42FfIPu0N+Twc8VyEx9ZNTvnfhfnB3ygooIlcgiCI6uall16Cz+dDz5498f3332PAgAHYt28f3n77bXmdxYsX49Zbbw0JJa7odquDC+zVTRDVi8sl4sdZJQCA/3Q7t51AjzyejO63xePKq6Q8DCWW8Am59+xyYf/ei0tIdDj8eP2FfLz8TB48bkoyTlQdZ07ToJAgiAsHAcHJSfE8rmzi80n7npMdKgSySWIASE6JfnjlsAf7Xrt3BPtZvDhYkF+xgikEQRBExcnKysL69evRvHlzfP/990hJScGGDRvQtGlTeZ369euje/fuiInRDtxt0aIFrr766jJvtzqg0GOCqEQ2rHGiIN+PzCw9brs7obp3JyI9700EAHz0vuRa4is167g+rrnYh2EvFwAAflpYG3r9BRZDFAabNTiYKSz0oWYtai6JqsHlpEEhQRAXDnyfwucDwoyfzhlOHvdgzy43brglXu7znDrhxWvP5+GOngmajkIvpx2mpEYfUeJwBPsavDiocBTm0+QRQRDEuUCdOnXw/vvvh/28e/fu6N69e9jPn3vuuXJttzqo9ld1SUkJFixYgJycHLRq1SriiQWARYsWYdOmTYplNWrUwBNPPFGh7RLnDj6fiHeGF6BR41g8+kRK6V84h8gPdOaat4xDXNz5IaglsXw4ecGOqI7r4544Huz9OuwiEpPOj+OqKC4n13nPJ6FQC1EU8fUXFjRqHIsbbo6v7t0pF36/eM5UJXc6/fjfQjuOHY0+bI0geHbvdGHlMgf6P5qsCGkkiHMFj0dETMy50eaGY9oUC7ZtdqFGrRi0aSdFXWza4ITdLmLdGieKCiNP5pjioz8+hz3Y1+C3W1CgzFFIEOcjHo+IvFwf6tSlPjRBnG9Uay/y5MmTaNWqFT755BMcOnQIjz76KO69996IYQm//PILZs2aBafTKf/ncrkqvF0iPAcPuDHwwWws/dNeoe34fKIcthGJndvd2LbFjV9+skVcL/uMF4MH5mDJH5HXq0pY+C4T384HWFXm/DAd0ZwzweU228XjdHJwri4K+9Hm2BEvfp1vwzdfWqp7V8pFTrYXj/TLwawZ58b+/zjLiq+mWrBrx8UV5k9UHm+8UoBFv9nxw3cl1b0rESkq9OGZgbmY/+O5vZ9E5cA7Cs+HVB5FhVK/hy/ydvyYNIFz7EjpEzkeT/THyIces98FKEchcf6xbYsLJ44r83qPfrsQgx/LxaYNzjDfIgjiXKVa5f0hQ4YgKysL//77L2JjY/Hiiy+iRYsW+Omnn9CnT5+w32vRogVGjx5d6dsltPnkg2IU5Pvx0cRiXF9O15Aoinjt+Xz4fSI++DQrYvgqb+5xOf0wGLVFt6mfmHH6pA9TPjaj++3Rhfm63eJZdfqVlEgdvuTzUSjkHIVej3TNBEHAqZPBTrHddu538CsLJxcOxJ+b6mLPLhdq1Y5BWvq5UyTHapXu9xKLX75fomXpn3b4/cCN3avPiTh/jhUWsx9zv7fiwUeSq20/GDu3u0pfiSCi4PQppZiRk+1FeroeseeI033eD1acOunFt9NL0Ou+pLP6WznZXiQl6chhWY34ubk2z3lQH4y9//l+wIlj4Xf8ihZx2LMrOMFTmhi6aYMTe3e7cX//JEXocXGRX3a5K3MUVn8fhKcg3wenU0TdeuQSIyROnfRixFApTdGCJXXk5ds2S/2axb/b0L6DsVr2jSCI8lFtvSafz4cFCxZgwIABiI2NBQA0bdoU1113HebNmxfxuydOnMCHH36I6dOnY8+ePZW2XUKbypj9tdlEHD7owdEjXhSWMjPKh71aLOF/WytHTCT273XjgV5n8OPsEvh8Ika+UYBpn5nLtI3SOB8dhckBoTAvV3k+WWeeFwpXLXdgwVzrReHO5QcI1d1J37XDhWEvF+Dpx3IhiiJEUcSpk15s31q9whILmfL7AaczuntCFEU47NLEwycfFsNejS5VfQTN1Wbz4+CBqnX2mUyhIk40LmyCUMNr9gf3u/Hkw7l445X86tshFe4qcpVln/HiyYdz8fRjuRHX8/lEbNvsOiuu+RPHPfhoYhHOnLp4UwrwDruquvYVgYl37P+iKMqOQobRGHzIWFE4hjvCq9nvF/Hum4WYO9uKFUsd8HHdC58PsAT6kbyjsPAci2oY+GAOnhmYK+8rQeTmBJ8Pp0ae5XMlxQtBENFTbWrG8ePHYbfbcfnllyuWX3755di7d2/E77pcLhw9ehQLFy5E27ZtMXLkyApv1+VywWKxyP+VlFyc4TB/LrLhkw+KFINTXZTFK3KyvVgwz6oIo2B4FZ3EyNvhhUnm0NOirB2UGdMs8HqA2d+UIPu0D1s3ubDoNxv8/srrtJ6PQiHLOah2C7KOPS8U/jTHihlfWi64HGper4gd21yKAcy55CjctF4adTgdIl59Lh9vDy3AMwNz8faQAhw9XH32DDv3rPPFX8JhtfrxxMO5+GB8kbysLCFalU1MbPi27eOJxXj12fyoxcIlf9jwzpsFmh3kaDHFh7Yb3mo8P8S5SUG+r9QJPN7du+xvBwDgwP5zx8qlr6JX5NZNUttpLg4+lyUWf0i7uX6NEyOGFZyVNAqLfrNj6Z8OLFl07qRJqWr4Qh+VHXqck+3FmBEF2LWj8ibOnA7pfjlyyIOvvzDjwD6PIpcgANRvEHTTNWsRp/jMHaHd5qsjHz4YWim5qMAPl0tESUlwG2az/5wJ2eb7STlnLqy+IFF+YrixYm52aJ9Zd/4MiwiCCFBtj63VagUApKQoi1WkpqbKn2nx3HPPYevWrfj444/x008/Yc6cORg1ahT+/fffCm133LhxSElJkf9r3rx5uY7rfOfTSWb8/T+HPLAAgJgwrpslC234eW7wnP4424oZ0yxYsdQRsq7LFexYhHMQWQLhi7yQWBJBDIz0mRYGQ/AlxvLP+f2ANQqBI1qYsJl0HhX8SAwjanrcUk7J7NOhHcELLbH2/xbZ8dbrBfj5x+D9rMhRWM1CodcbvEcPHfBgx9bgQzLp/SIM6p9TLW4VfuAUjRPnn//ZkZfjw8Z1wQGd1wv8tcSO4a/mV7k7gU9DoHbunQnc92dORXftp3xsxuYNLvxvYflzufJtFKMqw/TmzCrBsJfzq6TqssPux/q1Tvh8kkN2/153uX/3wD438nIvjgHr1k1ODHwwB9OnRnbD84MyrfuquhGqqPfJu7WYE37CmEK8+HQeTp/yorjYh4W/2XDkkPSglTVSIRqYI70g7+J1X/HvsMqeHPpwfBE2rHVh+KsFlbI9r1eU293l/zjwy082vP5CqBu3NlecIauGsqPsdoU/xs0bgu+/A/ukHzIYBKRnBITCQp+cqzAuDggER6Gw8Nzod/F9+DJkGyGqiRKLH68+l4dffgo/Bq4M+KiSHBIKqxyfT8Syv+0wF58b7QRxYVBtj21CgpRTzmJRzt6azWb5My1atGih+Ltnz56oXbs2li5dWqHtDhs2DGazWf5v9+7d0R/MBQifi0WvUZ3O5xMx5SMzvvnSIg/QzIGkz8XFoZ1hfiZUK8/dhrVODLg3G19/YVF0sMoqBkaCr0LHu8XMRZXXqFrM55+jMCkpjFDoEZGb7VM4ARhmjWtclYiiiPfeLcRnHxVXyvaYGJqdzYVO8I7CahZGfRF+/uhhL/JyffhmugUOux9//GIrNby/slA6Cku/J7TW8XhETP6wGLt2uPHDt1VbVCSWcxSq941d/2hCo/lQfLXrpCxoDaCr0nH5/bcl2LPLjb//FzrZU9k8OygXY0cUYu2/Tvz9PwdefyEf494pUqwz74cSTPmoOGKqg1MnvHjt+XwM6h85tPRC4YNx0jla/HtkQZoflMVGEMSrC97xWJmufjX88bK+BSvQlZPtxbiRhfhishk/zpYG0cxJVpmwibXqTmFRnfDOaE85Mzp8OcWMsSMLQ+4X3qHHY7X6yzX5xL/7I5GcosPrb6Zh8AspqFU7Bq8MS5M/i+T+27wxWNThUMCxHp8gID2Qf7io0I/iImm/U9P0stOQ9S+rGysX6RNtyhGi+ti104WD+z34p4IFKUvDpRAKpb40/6xS6PHZZeZXFkyaUIypkysnpZbT6b9oJmCJ8FSbmtGgQQOYTCYcPHhQsfzAgQNo2rRpmbal0+lkt2B5t2swGJCcnCz/l5R0dpNrn2v4/aIiZK6oKPjvmBjleoB2R8FuZzldQjszvEtQy3k0Y5okEPw636YI2QgnFJZnsMPn/+JDSbWEzfIgimLQUXgBCIVuN5AXxklnruYOa/ZpH9ascuJ/C+1R5TvauM6Jk8fDW7OYuMOLPHwHuLjIr3BE2G1+LPvbXmX59Xze0o/R4RDxxWdmTPvMjHferBxnRam/yTsKNZy5R4948P6YQpw64ZX3UQ0vhOWXwXHz7woH3nwtv0KiqJdrR/gwLyB4/aNxSlq578bGRVixFLQGqGdbKPzjFxvW/qsUBiOlfKgMtm12yZXE9+1xY+GvUkgmCxMFpPb0u69LsGShHYcOhn929+29eCpEu5z+kPuUhxcneKdPXGzw3zbVRN3Rwx4smGdVtG9aTPvMjHGjCitFaLRa/Qoh0xXBfVVReIGK9VHY77ldIvbtUd5bWm1URWFOsKqawCkLLpeIX+dbK82R/tOcErw0OFfRRwRUocflaNP8fhG/L7Bh/Rqn7P7U2jZDFEUMuDcbA+7NLnM6CK0+rBbJKTpcc50Jt9wmmRCu62bCqPEZAABXmH5JXq5Xcc+xvrHJJCAtXXooCgt9KA64glLTdEhJlQTE6p6gZfBtSLSiKlF9lAT662db1HVy7ThzFPLioe7cqcMXFp9PxJdTzFi1/OxPllYmXq+IBfOkftTqlc5KySM/bmQhnnw4l8TCi5xqUzNiYmJw5513YubMmfAG3vKHDh3CihUr0KtXL3m9P/74A1988QUAqVDJ9u3bFdtZuHAhTp06hW7dupVpu0QQn0/Ke/bMwKAjgxfS+Fkg1tHmw3VdslAYeBlpOGp4l6Bd43N+1olfN9xsMN/hjtbOzncm+bx7ldX5cjpFeAP9v/NJKDTFC5rn0OMRw4bcVneHlb+D1AMSNfv3ujH67UI8Oygv7DpMDOLza/IdYFGEHAoESGGmkyYU49NJxWXb8XISzUBa9ItYHkgZcPRw1bzY+UG1VcMt+PaQAvy7winnJNRy2/GhtdEO0ADg/TFF2LndjS8+Lf/sKd/WhDoK2T1R+rnnq1OWloM1EtpCavm3Vxonj3sw7TMzxr9TpOm8Olv89nMwBMpgFDSLyvDPX6RrwIvoZ9OZdi6waYMyB5ta3HPwgzLuve3lmnF1ezl9qhkzplmwZWP4/G6iKOKPX2xYt9qJHRUsoLRutQMP9c7G7wuC+foq4sLVwlzsw6eTivH7AivyuSIQrO/BJpe02tXK3hefT0RRYaA4RYHvnCsE9v23Fnw11YJXnw//fiwLM78qwZFDXvzxqzIfI3+vRsrfFw6+bRSicCZ5vcFKy2yiKlqiFb+0JlnjAhNFTLQ/ftQjp1Rw2P1Y9Jvk6mreMg5xXEoAo0mHNM5RaGaOwlQ9UgKOwuqeoGXw78qzIaxr4fWKIZXcLwa2bXZh3KjCCk0ysHHU2X6v84I8Ewr58Z5YRbevxyNi/RqnZp+0NP5d4cDvC2yYOLao9JXPITaucyr+VhdeKg/Hj3nh9wOnT557E1xE1VGtasZ7772H48eP4/rrr8fLL7+M66+/Hj169MB9990nr/Pzzz/j448/BiB1VgcNGoS77roLw4YNw4MPPohevXrhhRdeQI8ePcq0XSJIYYEfhw96ZIcHAJw8Hmxk+MEX6yDwgw27yo2l1XFwKUKPQxtvP7eId4iFcxTyQqbfHzpg0oIfAJw+C0Ih29eYWGU1vHMdQRA0O7wetxg25La6c2Dw90hpQiHLARQJdm/YwzgKAcihQACwcpkkyP27QvlyLiv/W2jDxvWlbyMah5coKp+jqoB/lrWcdyxUiiVs1zoO3vETadDBqj2rORzBbVYa7jCFk3y+YK5UtQNLCz5nJ38/iqJU7T1aR4tWIaiz6SjkJ2L4queV5fA6eMCt+XzyTmWHXUSMRnoLvpOv5RrOy/XB7xcVYflV5W754xcbJv+3OCph8t8VDiz9q3JCvrJVhQP4NglQhs3y9w3v6lC/U9lkUKSwWF78PllG0UXNQY2CKpXtdPnlJxv+XGTHl1MsslsVCD5fbMCsdZ+Xti9rVjkw+LEcHNgX3YyAxeyX22W3O3zRp2++tODZQblVXgWe5YuNphhVWVC74L3cZS9PUQ7FRE4UX+f7hGW9vyK9h+rVD4bYaE0Is7y3breIJX/Y8PyTefhyipQWZPDAXMwP5EG+/mYTGjQMbssUL8hCYWGBT362U1J1SE49t0KPlY5CPxb9ZsOTD+ecVSFv4tgiDH4sF/+uOL+cXhVlxLACrFvtrFA4qaWKHIX8eyY3EHrMp6epqjD1ed+XYOzIQox+q+yRNaejzEl9rqF2xld0Qg/gK7+fG+0OUT1Uq1DYqFEj7Ny5E/3790daWho+/vhj/PLLL9Bx9qY77rgDTz75JADJLbh27Vo8++yzSE1NRdeuXbFp0yZMmjSpzNslpEHsot9s2LwhVKgwFwdzu/CdJtaZ5Adx7EUQbFQ0XDFufhtlEArDCCT8oBaIbqaMf2HxHZriCKKX3iPisnU+pGSXvn254nGSTpF/6XxAq8M7YmgBfpkndWr5/I5A6TPbDof/rAocijyWpYho0Qzm5XvYruwA86gH5RXl9CkvPvvIjNFvheZcUhNNrs6zZab6c7ENbw/Jx+GDHsz6xqIQl+ylhB4zmHBepJGMnb9PtNw8x496YC3xY9jL+Rj6Un7I81qR1AF8xzZc3qVoBu68o5C/HzdvdOHlZ/IwXpV7LxwOjY601yNizSoHliysWMXU06e8+GJysSKMhA+ZPnaED4fTmOxx+jH6rQIs+i26/di7y41Xn83H6y+GOpX4+9nhEBWOQiYG8/umvv/XrnZgUP8czJhmUVyrqnC3FBX6MO0zM/5abNcUvXjcbhH/fa8IH08s1rz31ZTmNlMfn9plwn/Ot5GuCHl/2fMTqU3n28Izpys2kNK6RloCeUXYuV17kGS3i/B6g+KytqMw8r68924RTp/y4fNPohu4q69RQRhn0M9zrTh53Iu/lpzdPGJqKnPwzt+/6oryymImZd82H8XCt09835Lvpyic6mV0iYZrR+LigEsvC8bxRxIKC/L9mPKxdI/8udiOvbvdsrM0JRCyrBAKTQIys6TtFeSpQo+Zo/AcKVLAvysdDhFTJ5uRk+3DzK/OXo7htf9K45QFc89uQY5zlYpUl2ZtvsupPdlaWfBtyelTXhw+qKwUXhVF0gBg6V+SmLx3d9kbGv5dd67k840G9i5jqcJ2bq9YSha/X5T7x5XtsifOL2JKX+XskpaWhieeeCLs5z179lT8LQgCbrnlFtxyyy0V2u7FyPGjHvwy34b7HkhEzVox2LzRFXGW6uRxD5q3NChcGlqOQoeNubGYYKiVo5DbBjcbuXWTE99+VaIQ/qIpZqIOJXG5RMSHr1UT2K/gdk9xVupIjsKG2/2ot1dEvb0+LH048uMiC4XnUdgxI1GjSjMvAjVoGKOYsbIEzll+ng/z55SgV98kZGZJo323W8RTD+fCGC9g6oyaZ2V/XWUQCvl+kSiKmiKuXXUPA6GDhUiCcnngBfPiIj/SM8IncIlGKIwmj6HNJiVJr1sv+qb/jwU2HD3ixcvPSILP8aNeDBuRDkA5qFZPAPCCIqu6Wlio4Zjj2ga18+7gAUlsijMIcrswYmgBxv83U17H7RLDXtfSUDpTeZGYFwqjcRQG95tvG/8ODPq3bnJFtY9aaRs8HhHvvSsJjS1bGVC3fuRrd/K4B3EGATVqKtcbN7IQJ457ceSwF+M+lM6f2Ry8p49w4eoulwi3W1RUhf7fIjs2rndh43oXbr2zlMYWkpgHaIetKN4fdr9CVHA6RJjiBcVklNqV+PUXwZy2996fKC+32/3IQPkTIVksfhzc50a7qwxhr9VSLiF8aQOJwoJgMaijhz2yY0iNzebHS0/noVWbODz3SprmOkCoY1ItPvKf821kOEehxyPK97dWG7Nrhws1a8UojvP40YrFwmsJcdGKVV6v0n267G87rCV+3NEzeA847P6wAq7d7lf0L9wav+vxBH/H4xYh6KDpeI1W3CwoUK5XmO9Dw0axYdbWdhD7/SJ+mFmCK1rEod1Vxqh+N1oqOnj3+0U5zJ0/tzGqZsrDhx5X0FHIf5+vBBzHtSO8U33PLjdKLH50u8kU1XsinIOmXoNYRf9OUyjUqDCu0wG7d0kD95at4/Da8DQkJOjQ8JJYAFI7aTLpkFVDOml5eT5k1ZTaipQ0nfz8njOhxzbtflJVRNVf4NklwhKpoF1psL6Y3y85eyuSRzkS/HvG7QZGDS/AMy+mysuqylHI91vKCi+KOeyi5tjoXIS97xs0isXhgx5N93FhgQ9nTnvRopUhqu2x57mq0gsQ5ybnn6JBlJs3XsnH30vsctXE0vK2sNlPvnG3ykIhN5C2i/C4g/n5tAa7/KCFd+iMfKMwJHQwmtDj7VuVsyXRhMrxHXu+QxtJKEyMzggEIPgyTj4PhUKWLDscDRoqBzbFgZfQqDcKsPA3OyaOlZLcz5phwV9L7DCb/cg546vUqtWMvFyvYrvWCMn9AaVbNZyTQe2KBYL3PRtXVLajkB8QqkMK1URzHvnzEG4s9PwTuXhmYG7Ewi5q1HlC168JOpAVbmOVoHaaa19sdj/8fhFFGm4a/poU5PuxYqkdeblefP5JMb75UhKE+Of12BEvpqrcPGqHcbS4OeMRL0wphMLAvXHsqAfPP5mLVcsdmP9jCfbsCn6Zdwnt3+vBD9+VwGr1o0at4HPFp3MIh9YAtcTChfNoJJUuKvThzdfysWKpHVarH88OysMTA3JDRKwTgd/fsyvYdvKdSb5AwPK/HXjgnjPYu5tbt4zPstEUbActnCDpcvoVoaxOh6gQudnv8MKA+v43cakdShSiY8U6tF9/YcY7bxbiu69Lwq7DV4QuLR8lH8575HD4Z27/Hjdyc3z4+3+OiOF7aqGwUCVChRMK+Xc4f77486oeWOzb48bwVwvw1CM5iu8fPeypkCtFK0dxNNft5HEPHuqdjVkzpDZBFEVMmlCML6dYFOds7243/H4gMVFD3LOJiv5FuH6D0yHC5xPxwlO5eOHJPPlZ4t2BMTECfppTErHtttv8ivZS2kYpDniNpmzlMgd+nG3FqOGFEb8biU8+KMILT+WGCIMVGbw7HH48/VguJo6V9ot3/akFOR93mrzliDbgxSn+GvJpaPgUN/z79ac5Vnw0sRib1kcXjhcuhUH9hjFI5NK0aKVsiY0Nve/8fmB1IE1Jl64mub/VoJEy9DizhrS8uMgvv9NSU/Xy+hUNPXa7Raxa7ig1XYsaURSxeqVDPtd89AD/zjJUQcqdcyzFZ5VRkbQyfDt/NgtHsbbkznsSEBMrja34ttlVRUJhRYRQXoyPppDduQLrIycFhE2t9A5PPZqL4a8WYNeO0ttBhWBKoccXNeefokGUG9aJY8JcabMubODMdySZGKDMUeiP6MQClB07rYGCct3gv/kXXPYZLxb/boPF4se+PeUQCsN0/oqLwosMAtc+dvjVi6b/hl+XDejPR0fhvQ8k4ooWcZpFBQBlhxYIiqtMfNi724Nf59sw93srvuBcqjnZZQ+XiDQI3bjeiUH9czFhdFDBtZYiYPBhveE6KnyeTbY+GyzUqq2sOKh2fGjt75aNzlJDNPn7MeeM8r7yeETs3+uGzycNWK1R5I/i72O+wjfD7xflPKTbt0UflqAeVPCHqww9Vq7HFwzyeqS/tapTqs/nh+OLMah/Lhb/bseOrdr7uexvZZ6i40fLF5bjCpMSge8YsWOc9qkZx496MXFsEb6dXoJhLwfz3/A5CkssfvwwswQzp1tktzUghYKsWu4IGxbJ50Uc/99M1G8gPXO8a0xroPjDzBLs3O7Gh+OLkZsdXDeSeHrfXWfw81yrYpJEq5Lojm1cFeIy9hX5CaHDBz3ydVZX7XU4RIXIzI6Rv+fV3zHFB9tY/jgrOvO99E/pvvppjnZ4m88nKu7r0nKt8aLQsSPh71HeJTP4sdywOQ3VHXa1o9DBiUB8Wxcu9Ji//mq3EqtA7fUqhZOSElGRz5ghiiI2b3CWWiFR6xpFk1uShZnP/V66Nny/hD8Pu3ZID1GHq40hKTPsdlHptAzTb3A4xMAg14dTJ71yntvD3DNy/JgXM78qwei3guLd3l1uxcTn1MlSiDqPVugxL+prOaYqmhcSkATuY0e8WLtaKVzyEzWiKGLmVxYs/j269ALr1ziRc8aHVcudKCzw4dCB4MbU59ZbUUch1wbwE0e8GM+HVno1dPnDh6KbINMSrlu3jcNtdyYo+kjJyaHvWS1HIRB8Hza9Iqhi8M7S+HgBSUmC7L5n5zI1TYdkOfS4YgP2PxfZMXFsEb6fGX4iRIt//ufAhNFFeC1Q8IYXUEq4dsNUJULhxakUViQMlu83nE1XH3vnZGTqER94R/OTK1q/LYoipk4uxk9zynZPRqIijkK+PansvK1nE9amJiRK512r6jprN7dujkIoLGNUDXHhcv4pGkSFieWSLUfCVuKXBq9cp4yJBrz7xmEXFYKBZuhxhOqiIeuGyVE49KV8fP6JGWPeLoDfLwk4LDwjmpmqcI1dpM6XwPXaE4uAOgfD/w4TxSKFkJ6rNLksDuM+zMTc32ujTbvQ6Ti1o9DtEhX5cvR6YMPa0FyX2WfK5vR6f0whXn0uX7M4jcctKgZljNJCjz2c1qQ1MPT7RVVuwoBQ6GRCoSTYMCFO7SzU6kyMGl6IqZPNCkeWGn5wrHalfPGpGa+/kI/5c6ywWf1RzaLzworWYIUf3CdrOCG0ULu/1ChCj1Wzr8dUIYrhisqUZYa7Tl09Lrk0NPT2YGBQ5feL+GuJXQ6P9HjEiLkyw+W6VDol/Yr/q1m32oGNGk6VrVtcChfe1MlmTBxbhLEjtHNS8r956WWxiE8IhGtzHW2tKuR8waFDB4IX6wRX9U49yHC7RHzzpUUxgMjNCd02Lzzy92A0g5YiLsx85BuFGPpSPjZtcGLe98oBgd3uV4iK7JxZwzjfAGWI+v69wfuqornuGl4SvLfUwikQ+g4p7R0araNQ/f765INizQI4rM2oGXCqslD+CaML8dbr+Yr9U4Yel+4iLLH4ceKYB++8WYD9e92Ke1R9Xvfvle4zp9OP/y20wW7zY88uN955sxCD+ucCAP5aYsfvv4QKrlrXKJxjITfHix9nl8Bi8Yc4lvk2mz/uo4HzfFnTOGRlKd/F6tDj8I5Cv+LZZeL+EY3CSUzEs1j8GPpyPl5+Jk8+d8v/CS28wE8qnDjuQV6uT3H9tdp6XvQqj2DAiyuRHI2HDnjw0xwrPv/EHFVIMj/wf+yBHIwdGXw/q+9pfpIo2mImdpsfLz6di1kzLIr2l2/T+feaKAYnmrXafUMYEU+N+n40xQt4571MNL0iTuHsMhjD5yjUwmgSFJOuaek62QFkMkm5rbMCrkL2O6mpukqrenziWEDwLmMBsJXLpfuYtel825zNvSN0+ioQCi9Sc1NFHIWWKnYUGo2CPFnN91+0fvvYUS8W/WbHzK9KKk0E5l290eQo51EKhdGddFa0LlJBsLONS3YUSm1FpLz9URSNV7SBrG+6a4cLg/rnaI71iAsXEgovQlgjWprAYrWKIZ091llTOwr5QW6pxUxKmZ1QiooiTh73ICfbKws0LFde63YGueNX2svP5xPDrhOp8yVofEXHOqCiqBASWeer8aXh8w+d6+h0gmboDBNkebZsCoojfn9wgMajdhS63SK2bXZpDkL8fhH/rnDi0AEPpn9uxvh3ChWDyk0aRXeA0Pt472433nglHwcDoonCZaNV5VJ1vzLRmw3Ua9YOhgOdPuWVQ98YaqGZ7+yciBDiyz8nfGcbkGb+AWDWNyWK0NNo0Rok8SEg7ihCvxb+apOTsathxxiumMmKpXb8vkDpSmHigpqyzFYaTTrUrhMqFM7/0YoXn8rFlI/MmPxhMZ5/Mg+iKOKVZ/MweGCu5sBU3SbYSslRGB8f+rr0+UR8ML5Yc1/jYgXNkHG7XVSEyzGY8BETK7XRLG8fn9dR63tnTgev6zJOmODvPXVBBUZpoWzZ3PPLD1RKc+6Johjidjt0wIP3Rxdh8R9Kh5V6oontky1CjkJe7FAURqlg6DFfrX7DutD2xq4SuWw2f8RQXP68nzrhDSuQqN+zfr/2BBY773XqBt2m+Xk+rF7pxI5tbkUb7HKJcDr9+GuJXSEC84NGPkeludiHcaMKsXmDC0NfylcIO+o8e7t3Ss/ypAnF+OwjMz7/xIyjnGPSYvZh8ofF+PIzS4jDUOsahbuf3h5SgNnflODT/xZrnnsGnz/2WEAgb9goBimpymfWYRcVTotwbY/DISruK1ZBMpLYy0+cOR2Ss40Xpm642RTYV2m7Fosfzw3Kw6D+ytBurVyz/MRZtINXHn6yh99P9X3L3yfRuO8iPW+FhT6sW+2Q30V8uDFzMX45xYy3XteeGASAf/604+hhL+Z+b1W0AXwfUd3OsL6F1jajyeMLhPYJ+HahNC0jVtX9M3Lu/g6djNBzYpogCGgQcBUy9ysLP2akpOrl+9hc7EderlTwprRicaIohogkOYF+Bu+K3rHNVeq1tpWonz2u78K9f86mCMU413IUetzB6I+zSXmFQq9XVPTNzmb4L2vHDEZBvu95IV/LUcinWihtbBgtvFhfWgQbj9crKiY4owk9djj8eOOVArz8TB5GDC17leXKQg49DkS0qdsHvj0UolAKtUKP3x5SgLxcH8aMCDVsEBcuJBRehLCOTLg8JWyG02b1hzTsWlWPHXZRIejYbSL+/p9dmZdK0TmP3lEIAM8OysMzA3ND1rukcWzUQmGkga3DLuLMKW9IODOgDD1mxAX0saZr/PjPdz78d0IRXE6/LBTyVfHOR2I1ZsSZu4lnIzeQFkXtF7LaUTjv+xKMGFaAxx/KCcmTwXfOF/1mx9p/nVjwU9CREs6dqL6PRw0vwO6dbrw9RHpp8zkzte6TUKeKX7E/QUehH2NHFIaEvaqLnERbbZF/ZiJVtCtPERWtzuAZTigsLdRPFEV88ak55FgZ1hIxxInJD2D/+MUGvx/odqMJV3aQEidv3RSuEmn0PWCTSVAIhcwB5naJOHrEiz+5ML+SEhHHj3qRl+PD0SPKgdDWTU482Ctb4awoCVP12GH3QxRFzbB8a0nQoTRocIriM0EXFGUefjxZUXTjzKnQa8qq7bHwLSbY8wPh/DxpneNHPZj2mRmnTnoVxUJ2bdd2FOZka99DatenGt5RyLfLkZx7Sxba8HDfHM2qe/x5ZTnkHA5RcQ8wgYZ/x5QE3O15uT74fGJYgVOZWF/KqzXlo+KonyG+fdByb6rbik//a8aLT+dh9UqlqOhyiRjyYh5+nR8Uy30+4MQJLxx2P7ZtdikGlux3O19rREam1C3TEplloTBQjKiwwKcQ4Hmhx+USMWOaBZM/LFZUKubvc16MLLFIobaANCjlB0nqMHbWdrNKpCuWOmDg3hu8w1Y9EadZ9ThMe8Ta/C0bnSHvF77tKQ4M7uw2P/IC56BBw1iFSAOEOgrDVUxXC4V7drnhcYsKUV4NP5C32aTvs+v642+10b6jVISEnfNcToTnhRutc8HvS3kmjvhKnrwjXn1O+RBn5gBfv8aJjyYWaaZoCTcBAUh5TseNKsKyv6U2WR167POJ+H2BDTu2ueVwcTWKYlOKqsfBddTvf9bGaAlp6hQG4VBfAx03UmKCb/uO2gUBBEFAHBeUUZ8rPnXLbfEh69/UPR516urR5kppe7wLNiZGKjTHHIVul4hnBuZi8ofFinedFh+MK8KTj+QqnmPWPljMkmM2L9eHt14vwMuD8yK6uawqcdrO/a0Qgqogl1lVOQp9PhFbNzlLFYsmTyrG6y/k45efzm415vIKkernw+U6eyeQifRGoyCL63yxIa2qy37u78rKae7jNlOWfJxFhcronWhCj/fudst5n0+e8FZbpWT2rkkM4ygs6wSTwvwTeE9UpKAOcf5CQuFFAt94sQFouCIQNQPCiFVTKGSOQk74s/tDZuY/+aAYc2YFX5x80QDWOQ3nrmCdwy5dg9X9tHKb1a0fIwuFNqsfI4YVYOLYQs0OT2lOk6cfy8WQF/NDws10Gm1r7f1+1DzkR+ZxETpR6hB/OcUCu11EbCxQr0G1FxOvELyjsOsNJnz4aRYSNNxU27aUnudOHVJ7KCDMlJSIckVYhtZsYj43QA03KFE7Ctm1Zvekg6/EpiGgqUWPY0e98HrFoFBYhzkKfZq5otTOH170iPRy5sW6cEIOAAx/teyzlF5vqKOCdxSqQ6vMxVJBjP8ttIXsmxbqcDlAeaxsQHJHzwTUCLhRwwm9ZXMUCnLOSABoEkGUP7BPW0ABpGJI6raN71DyAx6vVxqYajmwmYBiihdw+93KSsBFBcFiPm3aGfDgI8no0FkaDJ7SKFjBOmbGwLPGqobyM9wszPj5J/Pwxy82jBkR/t44wRVPUefAZGjlmuNhwhygnOAJ156uWu7AlI/MUSXdZy7lEotfEVop5yjk3jElJX5MmlCMQf1zsGq5I6yrh3/2vpluwYTRRViy0I4fNHJyiaKI0W8X4J3hBbLzhk9TUFioIRSGeZ4X/6F0z+7e4VJUiWccO+zBt19ZMGJYAVYuC4rwvBODOQK0Bk3svmShxyUWUTHBxbe3bldoG6veLn+d1CkGeEEpL0fa7uXNpOft6GGvQnyNiVWee76AhyVC+8j4/tsS/Dg7fI4qQRDgUA3Y7QpHYUBAP8bSf+iQlKyD0RjqKFQWMtN+LhwOv+I8ud2Sm1frOWJiJN8e2mzBYhRp6TrExQlBV1hgApUfiPFtFX9cZ0578dpzeYoJm/IMpvm2jhd91c8p3/9hQuFXU81Y+qcDzzyeGzLRFk2oHQvX9vChxx5RcX+FC5PTcQVRcnOCGygq9MnnTN2PdclCYej2ohUN1O8/HefAqVEzBrPm18LwUelhv887mtpdFRQUW7YOTety/c3x+OyrmnK+Qt5RmJIqhSMbTYI8wc+e071cUSqtPu+q5U7k5fjk8HdRFBXu3tMnvDh5gpsoi3BfqXMkhxPPzpZbjT++qkpR+L+Fdox8oxDvDI/c/1oeeDZZ7tSzRXkdhepnnLUFK5c5MOe7ygv35bdtNApyMTO+gJ3fH/pc8vdMuHuwrOHDipQyZWgv1e0Zu89Xr3Tgq6lmTRFQnYqoonlEy4tbHXqsep/zz3A0gr6jlLoDxMUDCYUXCfwAJyYmcugxG4hbrWJIhylY9Tj43Q1rXZpWZF5UcaschaIohq2iyX6z0zUmdLvRFPaY6tYLCoXbt7iwbbMLq5Y75bAoHtboJSYKYSvCAqHhkTEaWlijHSKar/LLzkIA8uxuo0ti5fN7vsI7Cu+5LxGNm8QiNk6QHUBXtJA6u9G8gNUDK97VxodUAtoDSL5/EE4oLK3zH64SqPy7KqFq4tgiTJpQFJKjMFxBEbUrhS9gESkfFP/yLSr0lzpzbSxjonD14IsXCk+d8OLPRTb5ufx1vg07t7vx2UdmeL1iiINATV6uN8SNYg8UgvG4g+EbWTX0qKEKpVIXxilLXjmjUUAtzlGYlKLDbXeGujQAYDfnUlFXHNa6d0+f8sr7ou4Y2W1+zQ4gE3i1ql+WlATPQ1Ig6T0LGeWfA59PRGGBTxbfWG4fLUdhQZ5P0VllbsJmzUMF05PHvXIHuzxFhQCpY69V6TJcOM+61aHhuplZ2jlba9TUnlCZ94MVX3xqDql6zIQ1VglbC3YOd+1wYcHcoHi3/B+HRiEQPzauc2HzRhdOBxxdfEj+8WNefP2FWQ7n9fvFsG54tctF7URgLvMjhz3yvci/p1i7ZDQEhUKt9yO7L1keM2uJX5GjkRfjtQZlQOQCJuHWyw2IS7XrxKBOXT1EEVgwLzgwFqB0HfFCYRE3kBJFMazIPPub8INWnV55z3m9ynB19owwhywTXbQchS6FUBi+D6I+/7m5Ps373uWU3HHK5O9BoZDd/3z4KKDskynybHLbmfzfYhzYr7yIljJWrGX7yODF5EhC4f6AEMfuKZtVxLrVjsAx+CCKYlRC4emAm1UZeiwqBMvZ31rw/JO5Idvj04ac5lyX836w4rXn87FtiyukH8ve21qVlUtLtyP/rqqt0Kma94QEnUI8VMP3oTpeY8Trb6bh8xk1QipBa8G3l91ulN5tgiAgLV3ZjqZnSDt1+pQXjz2Qg/lzgs8Pf4+zydbiImW+4ZMnvYr+CXOra8Hfqx53+OJqjnIIhXabHwt/s0UsKsj3ZfwVFLaOHPLIfa0fvivB9M/NmkLUP39KfXqtCR8ttKqVVyb+cjrV1O0Yuzc+GCcVtYn2+NQs/cuO++48jRFD82UB2sVNeLF+jFqwUk/QhstJz9i8wYkHemVj+T+RHbQ8/P1fFkehOvKA3fcTRhfh1/k2rFgaGmFjLlL3K6rHdicXM0kK1iDg36f8M1yaUzIv16foM1eFU5g4dyGh8CKBHxC43CKOHPKEbdBq1pIGcDarX3NwBYSGImjBh27xLwOvV3rxh3OdsMFYXBzw4utpuOY6o+Z66Rk6GALiCR/qpFVtlnW+4xN0suClRZxBwOGDHjRf4YPBKiK29OJQijCT8z3sGABiuP4oC3kBgGnf1cR382rJg1TGZU3DH3N+nk++9j6fqHDOqe8/LbcOP4saTnQrsYiY/rkZg/rnaHY2eSFKUyjUEKpWLXfKv51VQx8yUOAxq36TH+hpVbhkqF+++zlnkDrMtV//pJDQ1tJQHysf7vrPnw58OsmMOd9JLh4+THXHNlepIVp5eT75vLHCKX6/NMBmrre4OCA5RYd2Vymf3+YtlK6KsuSlMZp0snALSALdg48mo+PVoW0EL8SonaBaIozPB+zYzoo0hLoltdorJsAlllIcJjkg/jChkBdtZ0yz4LEHcuSceKFCoVLY0ZoIadwkLqRdczpFWZRgg/0bbjah6RWxaNxE+cyqn2meMSMKceaUFzbFDLP2s8iS5fNMm1kDPfskhCyP9JsLf7UpxFxezGfnpU7d0O+zZ2/WDOm+vrlHPGrX0cNhl/KfAlKYp8vpVwgVxwJVs/kBac4ZH375yYbZ35TA5fTj6cdyMW5Ukeb+qu9gtRuRhd8fO+KRHQh8YQx+gJUcwVGoFgqdTqWjMJrqwUWFfjlELJLzk29LWTiv0SigQ2fpWeOFWI9HKcbz7Ta/Hbc7sjMmnIjo84qK7zmdSqGQ3eessjSbjOjZJxE6XTDdit0uqvL1ae+Mwy6GnH8moqWlK591UZTuT4Wj0CrKLmZ2rVJS9fJnHo+oGBTzjkKHQ0rdMqh/jiKVAEO9XwX5Piz/xx4x5I1vzwoL/HI0h1oo5oXmnDO+kAkGi8WPLZuceLhvDr750hKSu1ILNinCR4UwhybjyCEvjh/1hlQb58OsT2uka1iz0lGm0OPyOgq10k5EgncUJiTocM11JsV7KxJt2hlQs5Yet92VgAcfSZKXd75W+Y5jg/3vvy1BUaEf335Vgmcez8VbQ/Jx7Ag/eSCdeHXUwskTHkXKk7xcL3bvdOHX+VaFwOBw+JVh9XZ/WGd1eRyF0z8344vJZox+O9RsIG+XFwpL0WE2bXBiwVyr5qTD7p0uvDQ4D688kweX048fZpbgt59tWLMqdIJLPcnAcDr9mm1zONeb3eaParxUGr5ybkLdxqvDf9kz4feLWPuv5JyLZmJxw1on3G4psmjaZ9LknTzhZdSFndhW5yd3leL+G/12IZwOEf99r7jUfWLwhcCinRwAQp97dd9Uq8BZsVl5QxYVhv89rTZaFEPDsYuLfVj4my2qHIkMdTETUQy2uQcPuBU5lyNt1+sVMah/jsIhW9Hcz8T5DQmFFwn8yyIvx4eXBufJnWo1bNBrLfHLL37WUcrL8UIUxag6XHm5PrkBVOcdtNnCC4WscWYChDohOSCF5QmCIDsK+Q7/mlVOOBx+bN3kxOT/FsNh98uiRnx80LEBhLq0/H5g6Mv5qHlERNM1fsSUMtlWkgZ0Dcz61qytR897EyN/4TyAf3Hz58pk0iExSadYBgC97ktEjzviMfaDjBCxwu8HVgZm4XKzfYocF2rhTysElXfwhBPdCvJ9+O1nG/JyfVix1KGo+CuKomKQpC0URn4JGo1CyODwsqaxuK5bIDm9akaRFx55h0RhgQ+T/1ssV+RVu9b2cKFE6qrFTZvFysnOo4U/1sOHPIo8WIxlf9shiiL2cNWZ/13hDElerubMqaADLiVVJw/EbTa/7GDIrKGHIAho1Fg5QKrXMLyjUKtoDo/JJMg53ABJ2ElI0KHXfaHPHX8+1ceu7pCykOBvv7Tg6GFPSIcxP8+nmf4gV3YURp58YNUx1Y5Cj0fEbz9Lggsr/mIKhB6zc6oe7zCnA09SsqCZ8oANUJgr7prrTHhvUha6q3JlMXeKFsePejH3+5JSQ499PhEnNe4xQRA03YMpqTrFJIuaQ2Eqc7LnuW79mJDzzgRMJgzfdlcCrr9ZOtaN65zYu8uNZwbmYtgrBYpwdHZ+tNJhHDnswfFj3rDh2wBClEK1+/nKQPihFLIbELWOeuSBA3tWDUYByYHJGfX70e8PilHpGXrZGV+ekLQzgWOJFCbFO6WZqGo0CfjP9dou/3CVVPmBU2nu4XBRBmpXisOudHcWBcRIVvX7kkBBsbr1YvDdvFoY8la6/D2FOynM7jidYsgAk90jNWvp8cqwNMXkkbVEOalqs/llIYylXkhMFOTvWMx+RcgsnwJgx1YXPvmgOCQvJEPddr3xSj7++14x/vgldIKUPx6GKAYdouH6YEyEV+eodTtFLJgrDSAXzLMpKjiHIy/XB49HVKTC8HpERVoRhnoCorSoBb8YbOPYuWXPUkVCj0NzFJbt3avnmruExLINszKz9Jj6TU088UyK4nd73KGcbGH3p1PhuvRhx1Y3Xn8hX17G8vPyoduAFFWQw7WB+XlSUYavplrw849WfPe1BU5nMOcno7jQHzZXWTQTFUDAWRy41quWSwLGwf3hO9t8X6a0SvOTPyzGjC8tOHLYK/8Wg+WSzT7jU4hAWsKiyRS8brzo/PwTeeh/b3aI2KJldMzJ9uKJATl4JkxBtdLghaXyhh6rnyGXUxkpxsZ2C+ZZMf4dyTk3+5vQNBCnTnoVEVf8O27jOify83yaxUzUhDgKSxEKoz1uUQy+E5ThzNGfd610Ovw1UE+seNxiyDs0nAFn2xYX+t19Bku4NCWiKOLN1wvw+gv5it8ZP6oQX0yWCvNFCzuP/KQ1ywU7YmgB5s4OCn+RxjxaURPq9lA9PiEubEgovEiIJmdUqzZxqF1Hj9ZtpdEbX8ykfmBwX1Iiwmz2a3bC1LhcIkpKRCxZaMP2LUprHkumrAWbrWSzsmwmnodVjjNozFr5fNLAfuQbhfhrsR3zf7QGw/ridYqGtEYt5ba3bXbJDW7G6dJfMM5EAU8MTsGYiRmYPK1G1LPG5zL8S0ErjDpZJRQ2aBiLp55LRfOWBjkvCRDsuC+YZ4XfH0wEz0SJEovkbGAWea1ZLpakXhRFRa4THr6D5nQqK03abGIUocfhnw2DQYBeL6DpFUFFo31HA97/OAst20jLQsKluJcwP5D6ZroFfy2246VA4nB2ni+5VLpn9uxyw2r149QJb0iHpW79GMRHEArv6JmAjp2NmDQlS3aBulzS4Gz4q/l4eXCe5vccdhEnj3sVHbTtW1ylzoBv3eSSBa7UFJ08GLJZRXkQmlVDOi5BEGQ3hE6n7IADwYmBmrX0mPZtzYhiodEoKAZP6RnSupHODSAJR/yMv7pD2jHgkjp5wovhr+WHtE2nuWIQ/P4xlwZrU958Nx3XXGdUhALzYlbtgFCYfcaHk8c92L411LKsdhSqWfdvqPshKVmHuvVDnb22EqmyMxPOmIDStn0wb1ZWTT0SEoLXJCFRwI23mHBHz+DAdOd2d0jo8YTRhRjUPwczv7JIz/cpL7we6RrVqae8hlruwaQknSyKsv3g3ePhBgisY56WrpePh+GwS+0Je99lZunRNlAkYMc2F5b+JYmshw96FANnVs1WaxCal6udm5TH6xWxZ5dLHlDykyD3909C40tjodNJAw1277ndQUFTHmAZBNkRoBaqXC5RbuviE4SIzvhwsArukyYUYfY3FjlHn5Zgy7djTBgwGgU0bhIrPwNp6To5FQVfMIWHdxSW5kywmKUq0iuXOSLmznI6/cpiJkV+eDyiLFZe3ix4QPEJOiQEzpXd5lcUVgvHN19asPRPpUh2RBYKY3BdNxNm/xx015dwk6rS7/COQumZ1+n4PIX+sKJVaQnjVy5zYBvXn2Jt0Krl2oWngNDBORMxLRo5GtPSdeh8rSQGqyclXC5RUUwqmuT2fr9UrMunKmaSryEyxuiV93S4PiJD9AfFv4xAyK4rgqMw+tBjtVAY1ddk+P5xgkYhuPJQp26MPDkJBN9hpUXinjnlg8Phl+9HFtp86oRXUayKz1/47VclmPeDFZMmFMvvc8Zpjfy6DK2qtsHt+2R347RPzeh/bzaOHvaEdWse3O+Wnbb8s6UWI7ducsr77rD75YmJM6e8+HOxDf37ZMv5HGO41wXvijyw34OZX5Vg2Mv5yMn2Ii/Xp7jmTBRzu4PP9QFVmiL1+8rnEzH+nUJYrZKYFK5wkpptm13YslF6x/Ph8+UOPdbIUcgLRez+OXIoeF35SVbGiKEFeOOVfPm+Y+c5JkY69r+X2OXrZDQKIf08hrpvW94wYTXffV2Ch/pkY/9et0J8LMs2tYp38vdJMScC7trhwv33nJHfE2ziTp1SiTFiaAE8HmDKx+bg9m0idm1348A+j8JwsHe31ICona4upz/EkSl/FjjmhASdvC9ul5TWRh1qHGnMo1lsLFDQj2GIMMFLXHiQUHiRUJpQKAjAO+9lYPKXNeRcKDZbMJ9QerpeHpgc3Bd9TouN65yY8pE5xI6dm+sLm5OEvcRkoTAl9DZtFRBpeFEoI1OH+g1YNcjg75057eWEQkEhFNZUCYVaOSgi4UyS8tG0aGUIO7A/3ygtH4XaUZjEXR8TN4t4V68EGAwCThz34uRxL04HhMLLmsbJHbajRzx4pF82Jo4t0nQUsvxWNmswZIwvZqEm+7RXMUDYtd2lDLvX6MhGml1LDIg8rCIhEAzNrxkYLKtDehQVXEtE+cXOxHKfTyqmwV7IVwZCc3dsc+Ph+7LxzOO5IZ3OzCw94hPCN9e33BqPN0alo1HjWMQZg8n1Tx73KipK3nmP0pVgt4vYG3ATMnEnP88Xtr24vJkkeJw66cXKZQ7o9UC/AUmy0GS1Bh2FvDg0+MVUXH+zCe9OyFDcI0DQZcTyOqWlhT9O5qp8e3Q67uiZgBtuiQ8sj/wqc7tEbOGqLqsHjB2uNsr3lc0q4pRKGMoO3Lu160hiJktKnxMQm9gzcVVHI15/Mx2NOQErmXs+MjJ1uOzyWPj9wFtDCjSLTbCZ+Jgw7YnW/ZqUpJOdS2w/Ael6HD/qgd8vtaNMpK9ZKwZTvqqBW26Lx0OPJCncqtf+x4TnXklD/8eSMfTtNABSMRjegVeQ58PqlU7k5frw0xwrjh72yoUk6jeIwYuvSY4r5vRUT8gA0uCCvxcyMnR4/c103NRD6XZUu3kZyck63HmP0knqsPvlQV2cQUBikoBLL4tFfLwAm1WU9xFQVnQ+eliqVshco7EqzXXr5sg5KPbt8WDYywX4+gspBIvtw8tDU9H3oSQYjDqFwMJgwhYb2BgM4R2FbIAsCNJ6pYW7a3FJ42Axkh9nW+VwTl5Yi4TRJBVXeOaFFHS90YQJH2XhksaRJ8f27/VgW+D8lZYU3WLx44NxRfhgXBH27Q7fzygu9CueYbtNxIF9bng8kjDP7n8Gax8cdlGzoFUk2KCLRWCwPoPRqJPfD9YSZeE3i8UvOxD5dpD1ZczFvnIPig8d8GDE0AJFnlMgfEEQIPSdzgaKWrnm0tKDFXjVLlqXW4S+HDmYT59WOrIPH/JoplBQt8ulOQqdTlEW5TIzg+H4QGgxLyBY+MRi9mHWN5aQYmvh9qOsQiEv8Oj1ldcvfOG1VAx5S2qTD+z34P0xhdi+NXJROVEENq5zyX1wZgTIPqOcAGEOPJ61/zpDHIXsO+p+IBC+7+jzSeGMTz2SC4fDj4W/2eH1SEK0llDosPvx6nP5eO35fOza4cLC34LvSScXOrt7pwsj3yjEkw/nAlD2xXKyvfj0v2ZYrSI+CTizYrl7Vy3czf/Rij273Hjy4VwM6p8jV3QHgsI6P2axloiKyUd1n+3QAY9CfAsn8CiO2yEVZRw1vBAOhzKnZHkrzmrlKOSFIjY5xh9bbo5P4Rj0+UQ5qqKwUIoUY5/f3Vt6B2/f5pL3sWyOwuC/K1L1eO9uN/x+aUJHEc4cpp09edyDX+dbsW+PG68+l4cnH8nBmlXS+I9NLNlsfkUbyadm2LjOpWjT2KRlWXIUKqvZRz52h92PQQNyMfTl/JAwd69XDJ57gyD3pXlhm0c91rKW+DH81XwsWWjTjuyyKyOz+BysxIUPCYUXCZGEwo+mZuGr2TUhCJJ7irmD/P5gSI/RJMguAjbbpNVRUMOLFDwTxxRi+ufhk9ID2qHHKSk63NQjHoNfTAWgFArrNYiVB8J82I4+RpDDHEwmZegxE33UeKNMNegoh6vjXKe0wRx//nQ65Yw5LzikZ+hl8Sk3xyfnyKtTN0YWo+d+b4XdJuUP08oVmJ/nw7fTLXKS+qRknUJ4aXSJ8vqdOulVzDiPG1WkCA1wuTRs9RHC4djse+u2QaEwNS0otrBjU+T0UQk5BQV+WMw+hVj+y09WuVN9WdNY+XfCdQZ1OgGZWaG5Ep99ORUfTc1Cg0bBG5Y9Ey6XspMw9O00NGseKgiwCrzt2hvl2WFeUOGpVTtGIdQOfDoF7TsYgx0rq59zFAbXS07W4YVX09CilSEkhJoJX0ycSQ04iFu0jsPo9zPkSQEAchXTKzsY8fjTKbI4Hx+Fa+P9MUUoLJCulbpTlpKiw+czasrHpnaQMTcsu/eYaJsbppgJy+MGQJHAXhAEvDU6HZlZehQV+uVQKB7m2FVPPERqb5OSdEjkQtyYaFhS4sfhQF6dS5rEKvaldt0YDH4hFV1viFeI0GyCxmAQ0PlaE+rVD20jjx5Riji5OV45z2X9hjG4vFkcZv1UC/0fk3Js1aihDykiZYoXFPcC2wd1qHq43JzxCVK+vFHjMvDEs9I6DkewwEJmpk5+p7UICLu8U0IZdudTTC6pheetm5RCoVpIZCz81Yb77jyNnYHccszxCkiuYDVMKGThg8YIVY/lqtgmAYKgFAojhXDz1G8Yug9Go6DZLmjBUnW0bW/ES6+nIauGXlFcSIvcHB9GDCvArh0uzTaep6jQJ6cJ2LsnvADy1pACOVSfsX6t9Cxd1jQupGgEe0dZLH78NCd8dWUt1CI332dI5Nyf/EDqx1klyD7jQ1KSgOYtg+eWtR/vjynC8lImJfs+GDmNybw5ynBJLbe8/JnaKRMYDGo5S5JTJJeo1j3ldoqlXkMtTp/wKoSUnDM+zVB1tTu/tMEzE0H0+uB7Wavq8c2ByQeXS4psWPyHHXNnWzFXo9J2TrYXeTlKR1nDxmXLPV1aeGx5iYkR5PvP7ZL6TZEEYsZnHxXLxWBq142B0STA71eeX3UhPwafPxOAPIlWt16owucMsy98PkreDZuapoNOQ0jl37/DXy3Awl+Dz7rfH0xFwMYXfr8UdZKdrT0R5GVuPO6n1BO8kWD7ryjwlBNa0I1/HnduU74zwp0bURSxfo3kiuTD8UssfsWkt89X9uq/QKhQOGtGCd4aUiD/zdqNIlUKnb1cOhq+T2u3+QN5VqW/WXTCIS503MgVM2GwCT+1UMj3yfnc2KIohq1KrwVz/jkdyjy04YTCZwfl4aupFgx/NR8H93uQc8YnO/kyMtiksTIfZ25OMOf6cVU+ZjYW0cpRyOd8rM+liCmLUHjqpBcWsx9HDnnliTcG3wbEGQTZ8ed2i4rngHHyhBffTrfIURW//2LDrh1uTPnIrJl/2u9Xmm/KmoqBOL8hofAiIVJ1w4aNYhUV1QwGQR4IsRek0SjIITRsJriBxqBDjbqTwWbj1TmHtIiLDRUKW7WNw7MvpcoDMF4orFNXj/TArPLB/cEfEP3BmfP4eJ3iBaZ2FDKOt4ju0fBegBbs0mbA+dDjhESdYn3+3JpMwXsmN9cnJ92v3zAG6YFOA9+BtIYpoDH/Rys+/W8xAClsmc8r2btfEm7uES/fB+HymjG0BlORimkwsYsXx7ICol5mQPxwuZR5StRCa2GBTxYO2HO1ZaMLJwLJ/03xOoz7MAND3krTFGUY6Rl6jJmYgdffTJOXpaXr5AqfDF4oZB2Ua64zovO1Js1Z3mMBJ0GdujGyYBku31hiooCuN8TL/2a57phIZbOJyA+EAYUrVqEOSWGDVSaMpQbujdRUHVq2NiCT2064WepIFaF7901Eo0ti4HSI2LzRBYddDBFkmbDAjl/daWMiN0uDwEKd2Yyy2t3Fh/aqZ5iTU/S4qqMB4bjscqlRiVGNTetr5CBkJCXrcG1XI4xGAa3axMn7Y7P65aIZl0QY7PKh2wZ1fkwNEemYSijMz/PhYCA/HBOtTfE6+bya4nV4/OkUPPJ4Ml4akoobbzGhS1eT4l5g+8Dv53XdTLjmOhNuvCU0L158QMxrc6VBfm7sdlFuU3iRjk8dwGCOL8aGtUHRVj3QV+chSk0L72rm3238PqjDsQHIIi4TN+IMwWIm/ADP4xGxa7s0OGBtLC9ON7xEeW3DFVetoyHq1akXo3CjRkLr+eOPEQi9bxnr1zhLDT0+fNAjC0paieMjsTyQT++yZqE7kJmlx7X/MUIUUWqhJjU1VeeGr0qbJOdzVqa4YMcwYGCyom1g7YddlRJDi7t6J2Lu77Ux9ZsayKqhl1NUMJb9ZVdMBEUSp7SKMwHa777kZB3iAlESalxupWhQq7YeTz+vLeTzqAfV4VDn9ixt8MyEhMSkYL+Aie7M1fef6014+oUUWfh7+tFcOc8imxDjBZiN66Tn7IqWcRj/30zc1CMeA59Mjmr/GdGk5ikvScmR+2d8Dt+bb41Hg0YxcNiDjnqjUdDsZ4R7Nv9RheCzfgvr2wFBB7vXo+3k5J1YG9YGRQ6nQ1Q4CpnrLtxEZfB70nr8u8ps9itEkWzu3yyknT9GtSM3EkFHYfB+zMn2hRR14YXD7duUgxzWxudkezH9czPeGV6A157PwzfTLRg7shBPPZKrCPO2logh4fNfTDYj+4zkfp/5lQWbN4RONDrsfuzd5UZOthdfTjHLAl4qF6nBHwfbLxZWyybVeKGQnxyw24NuwqQkQXbSsTYmJkYStNV9MvaO2bbZpcjXyL8v+Xfed1+X4OG+OSHHFw42xlO3Geoc4oDkKGZo5Z5m40ibTVSk4RHF4KTx8aPKLzZqHN5RyBtmfFxbwx9vaWkR+ONaslAZicK3/XFxQcefxw1NRyEgjaueGJCLgweUodrhIqzyuFQtZ2sihDg3IaHwIqGslm7WuWUzXEajIDf0zJURzeBC3ZjWrRd9Dj/ZUcg5yNSuGj5HYZ26MUgPCJ779wZ7auZinzybWquOXlGRLpyjsKBedDMmlqwLb2blyedSULuOHi++nqr5OX8N1PkK+RyFRlMwHHLfHjcO7vdAEKTE/kyY5p2ffI4cNSxELiNDr3D7GIwCnnkpFdNn1QQgdVQjwYTCv5bY8dbr+fhqqlkuLqIFGxQKgoAxEzPQ96FE/OcGSbSIjRWQkakMPxbFUMfFrh1uTP9cyktyy20JaNk6Tq6UCQQF1au7mNDpGmVlw/QMHYaNCAqDV7QwKPKyaQlkbNn7o4uwYJ40IGLXQT3LC0i52wDp2WCu4SOHtc9JQpIOd/dJwIMPJ+GDT7NkkTiYo9CP/LxgfjgtwjoKA88lEzNYqCYvJmntPyCJ2+HEwpRUHdp3lM7rts2uiLm8MlT7zCYpWOeQ/a0OA1e3S4IgYOTYdCQmChgwMHSQ2YpzqLa50qBwr1x+hXR91Y7C0oTC1FQ9ps+uiRFjM2Th1sqF26qdejz88ajzvl7RIlRkU1cgzT4TFMN5ByjP7XcnoOe9ieh6QzyeeyUNsbFKRyF751zWNA5XtIhD52uNeO6VVACSc/bloamqfQ6doJBCj5U5y4DQdgoIDiBYXkR2X+j1pVfvTNUosKUFHzZdt25MyPIjhzwQRZGrFinIqRxKFIMmCz6dJLUhTKxLDCMUZtXQo8ll2mpdTY20DfXqhxcK1c+U1jPGCxOAthgJSKKollth4uRM+Rrs2xNsd8oqFDInRzMNUVgQBLz6RlrEokPhUPcR+IlLvvCbVn62Ll2VArdWYTYt9Hop11RsrOQgmzazZkg74vMB/3JtmcXsD4R12kIEN7UoySZntPICs7ZMmW4jMMHrEmUH/s094jHxkyw57yoAXNXJEFJRHYDsNi6NosJg8QC3W4yY8w4IDoKTknRyu5WfK7l+mFAYEyM5YPh7l71zTp30wlrix+MP5eCjiUUAgE3rJfHlqo5GNGsuTUwnp5St7LFXIz9iZVFaJE+bdsHrlp6hkwtoMYxGQeFujmbCHwi2t8ztxxfAandVsN+idc1Y6g4AWL86eM9arSJ83K3BwoFPHI/87LPf4O/fnDM+hSCZy7m42OQF76A9czr0noyNBV4bnhaynPVTizmHW05OaPoAFrnlcYvYEzBUxMQo9/n7b6VKy5s3unBgn0euHu/zKV2QJSX+kAIoi/+w4903C7FquQM/zbHinTcLQ/Z15BsFGPpyPp58OBe/L7DJ1ysrTH/M5ZLy+jKhrX0H6f45zRUmsyschUGhMC1Dj8REneI9x55DflIpPkGQJ/Z++9mGoS/ny+5hZeGR4PlUV0CX1vXj9wVWOeckD7sX1GPdA3vdIdWGt2+J7FRh/fqCfB/mfKd0HWef9sJu84cUm7pEFgql39+43olpn5kVuXMBKPIF8vt65JAHOzRyVrNj480+UsXpgHPaLcoGiTiDFG3AxrhulxhSxEjNDzNLFP2wcAXOFJNSUbiYiQsHEgovEmJiUKbk5yznGJsVq1UnJsQhlJmllwceL7yWih53KHNLaaEOv+KdN2pYY5fMFTNhoYcMhaOwXozsbuAb5qIiv9zxqN8gVjEAVw9yGB4jsL9j+Mdjw516bLxdD0cps7vnI40uicWUr2ui243a15Of0U5W5Y/khRzJhSpdj39XSJ3Dy5vFIjVNLzsK+RdluGT4PClpSkeoIS44aI5mEMjyU835rgQ7trnx63ybnOPnuZdT0VAVysy72Vq0MuD+/skKByUbQB094sHLz+Sh921nFNXFAKljWJDvR736Mbjn3kTc2F15XvmXdBrX+W50SQy+ml0Lna5RDjb5AY9WwmjeUciqadYIDHaNGuuzGdXadWLk6rTqgSVzVCYl6WA06nDvA0mKATQL7bPZRDldQbjccmnpernzDATdN+y57HFnPF4dloZ7Avnt1PdUOPjzqBagmNi1cpkDn31kDruNDJU7inUYmQORCU7q4ila+eLatjdi5rxauP6m0OeI5TgEgDbt4hRheeyZCREKuQGdOm8rGzwmJOgQEyMoBAzWqQ8n3KqPJ06Vfyac8AcEB0FrVjngsItITtGFFBiJBD8zfXWggEJcnIBxH2Zi6Nvp8r4IghAizvJ/s0GIMvQ4eLzh8vnpdJKACQSd8nEGAY8MkkQZVq1YTWqYe1sN/3zW4SbJWrY2IDZWGnTlZPvkwZKimIklmED8l59sIdvkj4kXka9oEadZ5AuQ2nZ1m123fgyyNKpSA1JaBJ5oHIW162pva98ej2YFyiaXxcmuaP69XZqriMGH9ur1QDMNYRuQ7iE+coInUg46tYjKnz/ZUWj1h+RnS0nRhYSwqwesgHYfRKtSLt/2XfufgLi9Iugo8niAj94vxheTzRg3SikghDgKI4UeB9qStpxQyK6piyuE0OFqIxKTlMXhBg1OwegJGSHbZC40nqs6GRTueEB6FzCxRWtymy/mIe2/tC+JSUEhcOFvdkyaUCS7+lg7quWUsdtE/LnYjsICP5b+6YDPJ2JnwP1zZYfwfdPSKG+F2mgwGATF+1MN38dOTtaHvDMNRgG1uEia+x5IKrUYGAB58kEu9pepR5euRqSl69D3wUTZGehySjnw+DDcM1wuSN7Ra7P6FY4tc7H091GNfIk8LGqDFzWyz3gV4iA/mcX6bPw9kK1RxT4jUx/SBwCChgnenZab7Q3J8fn0o7lYt9qB8e8WwuUSkZauQ5PLpfPG2ngmUKrT5gBKF5+1RLto5KmT3rAuMUA52cITrkicyyXK+QljYoMTI7zb2KFwFAYLxrD2lHeoGmWhUJkyihdVDx3wyJPnfB+AuerCVYjesM6FL6dYMDkQYcTw+YL59JlLLyZWyjVot4s4dCB4Thb+ZsPEcUWa22c0bBSDq7sY4fcHC4swrCWiZnvGxsJFRdJExei3CvHHLzb88z+74j61cc8G38bN/d6Kt4YUhKR1OX7UgwH3ZmPShOAxs4KdADBxXBHeDQjGrO8vC4Ue7RyFPJs3uBT7p87PzeCFUVaAkrg4IKHwIuG5V9Lw3U+1Q8JX1InjGSznGOsUtGxtCBUKa+jx4adZmPpNDVx/Uzyeei4Vt94pbS+cAFePG9Bc2cGAkWNDO5UMliOHFzjVjROfVLVOnRjN3y3M98mNX/0GMYrQqHAhZB4DcOoKHdbfpcfR1txMdDJQWFuANQ0oybzwRMJo4N056txsvEBjNAWFQub0Y7nbtAZsWjO8ahITdYrBKi8UR1NxWqocGhSzGDod0KWrER99XkO+h4Hws7AMlr/q959tirA5Lfo+lITMLH2IQ4sXv9O58xKuQIfi+DUEgThD6DLZURhGQNDpJIGqhuoZf+bFFMycW0sOPw0Xqs8GtsWFPnnwlhbm2UpO1mH0+5no2UdZWIWlGjAadejSzSRPVvDHq3Yj8sRz56seJ8okJuo0Q0+1yMhUC4XKa8DaRXVOxHAitTpXGiMlVY9WbeIQGxusuKz+Dp8Hz2gUFMJsRpZeHtzpdKHCJdtPa0mwU68WdHgUjkLV/RPOdQ1I4XkAZEG6TTtDmfLX8KFgrdtFvkZqN6lWblSHXZQ7tPy1TAhTCCg9Q3oeeeE1LlbAnfck4MNPszB0RLpmPsLU1Mjtgha8syclVSeHaB8+6JGFHKMxmIPV7dZOlWCUQ4+Dx89f2y7dTJoVXwHpOk+eloUJH2XKy+rVD50EZDRvpbwmJmPoeVS35bXrKovqXHpZLGJiWEGh0FA5QFkQKxJauUh551uTy2PDVtuU9lX7szvvScDjTyfjk2lZaN/RgD79gvkB1SIzLxRGchTWqhN6TutpVCavoxFloTWpe8mlscjI1KFte4MsmKlTRLACDAdUBefYfcQEURYyKbfV3Hlh16LhJcH+FBM1XO7ggJy1OXx7kZyiU7yT2PXScpk9/HgyrrkuNKVAQWBiQyuvdqerjSHLAOk68L+7brVTFh1KS7zPpz/Zs0sKw4szaIfnngsIghASLnlZ01jc2D0erw1PU0wIJafoQsR9g0FQiPmdrjWGTAhooT4f6Rl6vDIsDV9+VxMpqXr5/K9f48QDvbIx7/vghGl2mEng/DyfIg3I0cMePPZATkhOWDVODaEwJ9sXNu8gG8fwwjhzOfLv+IxMvWKyVt7PfI0chbk+TTF73KgibFrvQpxBwAuvpsqCGRMKmXDTul2oEM3crEBojkKeGK4oS7RhoOEmCiWhMCD8penl96pDFW4s/9smorCQpfeQjo0Xp9l9wPc1k1N0uP7meMQZBLmg3vq1TpRY/MrCIxYWeq4tdu7eId0XZ057FSHuvKjJhEKTSUpdAwBvvJqP9WucKCr04cvPwk8UM0wmAa+/maZZSJMViFOTkalHRqYOXg/w56JgaHBBvk+Ra9HrCYZba4Ubq93XP3xXopm7nBUZWrc6eM+wMTMbA7hdYkjVcp4rWkiT1It+C05EqvNzM/jt+P2lR28RFw7n5puQOGvwDc5Xs2sq8lbwSAKa1BLEJwhoeElMSCc9M0uPhASdYhD22BMpuKaLCQlJOrw8OC9ku3xnQ6sKJA/r4PEDT7UQw89S1ail12x42axfbKy0Du/UUbsrAKkj5Q+8iG1pAsTjAgBpG+t6Bl624ZJAXQQYjDrExUkvO/UATx0majIpOydMFMnUGJiqq211vtaoqDwHSKIPP+iI4zoj9RrE4EAgH8sVLeLwzvgMPPN4rmJGzeUSYbOJIS+5eg1iYAgMglM4ESCSCwsIiihaM4x6vfJ5YwJrjZp6xMQGX7S8+MU/jwlhCnQYDIK8ba11tMRDlmcrnNCWVVN6LtTumZRUPZKSdRj4ZDK6/McU1mXB9oMVImCzueFo1jxOkeCZfUcLhfisIVQweLGsbv3gvZCQKBWIEAQpx0wkMrKC29frpf3kcyqxkF618FSeCrTDRqTDavWjRs0YPPpEMr7+woKnXwjm++LbqbR0neLeSE3TwVqig93uQ1KSLkSQZAJ+Xq5P7oinR3DBKXIUatw/aek6zSTdLVoZsIOrusm7kKJhwMBkfDXVjKeeTQ0rqjLUzhhe3GTHK4rBQivp3AAwIYyQW6OmHjqdgIwsvRzaE2cQoNMJcghl/YaxIYJMuPcmAFx2eSwysvQhogb/HYdDRONLY3HogAdr/3XKbVqcUXJGsfb19EkfGl6ive/K3HdSntOcbB86djZi0ntBx0S9BjE4ybVPySl6JCTqYDAIcLlE1GsQE+IiZVzRPA5ZNfXyoERzYiJOcjgx8YIPPX5teDoaN4nFpAlFWPa3Q87/xmADTa3QcC1q1Y4JuRa8O7e0wiqpYRyFGZl63NFTEgffeleavGzdzoDkZJ1cSAuQ2hJ+kM6qHhcX+SGoDkFr4qr77fHweEQs+8uOo4EqyvXqxyieIUBb2DYadZj6TU3o9ZKrJZr2jMEcWBmZeuTl+uSBNQvXS8/Qy883uxaCIGDYyHScOuEN3B82KfSYKwwHSGJwu/YGJCRK9y7/HGdk6CGKPs38dywNzfgPM3HwgBvL/nbg4H4Pvp5qwbCR6XJfrl6DGAx4LBkpqbqwhceY053h80FO+M/cd/36J+GXn6wh+8LfT6y/Ub9BTKVWKz6bPP1CCjp0MsqTBTu3B5+x5BSdRvoAHa7qFIeTx71oc6UBsbECLr8iDttU4ZgJiYIiTFLtck3PYMWipL9NJgF2m5Q7DwBmfVOCex+QilmFqy6tnhzevNEVVVgjc+/ywt3pk165TxEbq8wTye4lheAV+He9BrEoyJfOWUamXnMSu7DAjzmzShQFlLyeyCHSbdrFoW17Ixb/IYlGTqcIj1uUnzN1bmlAWYW8pCS8UMjn1DQX+xT5IsMRLr2EyynKefVS03Tye9XGnSuHjT9vfvkZYhPbvAGEhb7z/bbkFB1uuysBt9wWj5gYATu2uXD0sBcrlzsU19vpkM6RVgVuANgXSCnl80l9GzaGtHHjvpLAe9xoFNCqbRzWrXbC6wGmfFyMO+9JkMeQ3W40Ydnf2mloDIF2rEYtfUh+f6vVj4L80Oui1wvo0y8JUyebMWuGRbEt9TZsVj8MBr2m0KxOwRROCM7N9QJQ9rfYpA3rO04YUxT2edLpgI5XG7Fnl1sxTgnnKNyvKi7mcotU/fgiododhW63G4sWLcKMGTOwadOmqL5z/PhxzJ07Fz///DNOnToV8vnKlSvx+eefK/778ccfK3vXz0t4S3d6hj6s+6PH7UFXVa3aUqepVu0YRUJ2LbdVbJyAVm0NqF8/RjOch3dMhRNCAOlFr7VvancL3wnS64WIrpm69aXj6BzIA1czIBpedrnyhR0iHvK9cUG4qEVCBgt1DM1RqBQceKdKzVp6OXxSnXxfiz73Jyry8wHSgN8UpvBCI64IQnyCgNg4IcRB4nKJMBex4hnB5fzgjxdNwjltGPVUbhA+Mbf6u0xU1emUghzvlEqLwlGo0wkY+HQK7u+fpOmIVTvCgGAn0aj4reD22TlRh6cwsS85RY8OnY1hB09sEMFmI9PS9KUKP+rQ2nBiBe9iClfMBFB2TPlcqGzf3hiZjqs6RRay+HDVZs3jQtoTti214BpNBXg18Qk6OdT7jp4JmPJ1Ddxya7DdjYlV3hf8tU5L18tCkdZvs/1kAnZ8vCAL4eH2haF1HXrdp12BtUVLpeOsfYQiLVq0bmvApCk1woaL8qjD5nkHaWycILuwcs6Ehh6HcxSy54J/F8WqdkUrRCwljFDY98FEjBibgaFvp+P6m5Vuff55SM/QodO10ntoxVKH7OhgQsuVHaTPFv1uUziegKAThhcKU1N1uKKFQU4XMWBgMgwGASPGpGu2B3q9gMEvpuD+AUkRc5TVrB2DK7hiNtEUE+LbENZ+PPJEsqK96XlvAp5/NRXvf5wFIPrnp5ZGjsXUNL38vF9/Y6hDjSctzHXTEhhbtzWgUeNYRTusdpiwvFQ7trnkSZLgNkP3NSZGQM8+iYoq01oTpglhJh5iYqT7IylZF5ImIxKsSAQTZm1yjkJRsRxQ9n+aXBaHrjfEK9JZ2GVHYfB9NmJsBl59Iz2kzY+JVR5ffIKAe+5NxOtvpsn9u2Yt4nBHz0T5fblrhxtL/rDhcCBcMD1dh45XG9H0ijhNtzwgtXfqaBPW9rH3TL+HkjDrp1oh3+Wr/TKhMNq8feEYHJjweeq50gu9VJTutyUo3lOKYjvJupB202CUKsE/9GgyWrWR2uumzULb30SVMKh+56nd92wSgc/DefqUV6pGHMZRyFdSBcLnRlbDJlZ4oXDNKifcbqnNUac0spZI4Z5aofZ82ob0TJ3m+89i9uP7b0tCls/5LjSPHoOJd+y8uJzBQltxBkEzX6x6n8OF4PITP/w5iFQVOdzYyO0SFaHErP/r4M6VjXcX2oLpPZj7smNnI+o1iMFdvRIw8CnpnjcqHIXSb7N+drdAQbzN650hrnmbzR82Py0fQnzimFcW0fhclcxRaDAIuPY6k9xmFxX6sfh3SbR95qUU3N07fFV5NumgFUFjLfHLAvcDDyfhyg4GOa/lTd3jYYoXFIK03xfqjraHyacIQM7xzQh3D+Rzk8AM1j7yjkJAatOvuc6oGHekpes037vq9xjLH6xODUV5Ci8eqtVRmJeXhxtuuAFutxutW7fGSy+9hL59++Lzzz/XXF8URTzwwANYt24drrrqKtjtdjz44IMYO3YsXnzxRXm9WbNm4c8//8TNN98sL6tbt+7ZPpzzgmht6u2uMuKqTgZsXOfCTVxOteYtDTh9UmpsI7mtYuME1KylD2lc4gwC2rSTZi/VAyn193lGjEnHpg0u3HKb8jvdborH/n0eWQCI5PRo0FDq1NdrEIup39SQOzRjP8zE8aMevPJsPgA2aFGJg6BGkScpWYeCfH9IBT5lPjkpjC7OIMDtEtGhs1EeSNSvHxPiuGPcPyAJOh1waZPYkNn/xEQd/L7gi5Tv1DXixEcmDEjCW7BzsWGtCxvW5gKQ7t/YWAHHj3nxn+uDA0w+pKG0AWyna4xo3ERyHKWk6ND2KoNcfTOrpl6RB4cXVWvWjMHpk9JnvPgWyfXFc9udCWE/0xIGmEikrBIegyta6LB6pRO3BrZXr36MwqkSrVOOnW/W4Yz0HDJiVEKhWjhkKHIPRhAKebGLD4VhA54OnY3o0NmInt1Ph90G35lu1dYQ6hwMbIv/LUEIHVSVFb1eCBEMeCE7LV2nKKCRnq5Dbk4gBFXjHmXXjXVQI02gAJGrHgOSkMlCyVl+H71eWWE2I1MXsRpwRVFfe7XDPTVND6s12MnlB7Lhrg/rOCuEUtV9KE1AKJ0H4UKPu9+eEPGZGT4qHSuXOdCzTyISEnTo/1gSZn4VHICyc3/nPQlY+68Ty/+2KxxzQDDMmz8f6uetxx0JuPnWeOj1Ag7s9+DQAU+IyMWql0ciq4YeTa+Iw4qljpDf5DGadLBapfaMF3CZ0zM1VY8RYzLw81wr3G4R3W9NUIQ/hkw4GQXNcFUtUS0+XsA772XgzGmvHGoWjnA5Ci/XqJTMb1/eT9U5bHJ5HFq0jsOu7W5ZoGZESoXBbyddY5/UBSi0aNXGIOdyi08QQhz5Xq8oD8zZuZSeCQ/sNqloCAvh5M+LlruTDTydzqCbKFIaCEaMXhJEmGsvNlbAw49rVxDu+2AS1qyShLrs0z65yBaflzDcZFJSki5s1V7+PaPTCbjyKgM2bwy67vg+CBNyGmi4vcrCLbcl4NquprATFGcTPsdeQkJokS+t9l3r/k9I1GHUuFSMe6cQz76UGlK4Q33fSuKKT+GK27Teif9cbyq1KA2DPUPXdTPh6i5GTBitnUtu9043vppqCYkWAYAWLQ1o1jxWEQng80luNa08lXyUU2Zm6LOodicC0oTQT3OsmhVzGSyNi5E9O1wYaI0a+pCcu2qk0GPtzw5zQhqfN9ERoZJ6uPzOLheXV5pzFNrtUpoeQRCUjkKbXw7xZhOdNWrGYPK0GsrfU+Uo5KkTOOdFRf6Q9sZa4le4YsMxdmQhateR0l/x96aFiwxIS9djxpya6Ht3dqCwh7Tf115nUoyFjSZBkZebibu8MaVmLT1ysn2wlog4E8h/2bRZHO4LuGYBadxap26MQtAsKfHLYi6LJGITNBYtoVAVKqweQzdqHIOjh72YM8saUvCFPdsGVTs55v0M1G8YC79fRK9bzwCQ+oSR6hZc182EW26LR7PmcfD5ihQhzgBVPr6YqFahcNiwYQCALVu2ID4+Hps2bUKHDh1w55134vbbbw9ZXxRF3H333Zg1axZ0AbvazJkz8cgjj+DOO+/EpZdeKq/brl27sILjxYzbXfo6jNffTMeu7S5FLo1WbeLw12JJKCztRZeaFioUxsYJGP5OBqwl/oiDV3Vnpt1VRkVlNUZcnIBnX0qV/46JEXDpZVJIV81a+kCyZKlBa8I5B/kXQGys0okoNZ7BRvDU5QLq7gVyG5GTkCGF53oVYbqA0gVnMknuh0sax2DfHo88MwUg4PbTh7hlAOkFxQZKWkINP4vGh8LxVV2Zs+/2uxNCwpcZqWl6vP5mGrZscqHrDcHByKVNggPzUl1xcQLenZCB2d+UoO2VBrn6GMA6UcEHjh8chsv1x7u+tPKTRQP/7Fx/kwnX/id4bPzxxMQALw9NQ5euTjnPV2qaHp2vNcoDtmgFMHWYcTRCoTr3W7gwBr6DG9FRaGJhF+o8YsrvXHJpDI4c0u7h826I5i3jQlzRLISVFw86XWNUOFIrC36bael62TVntYpITdPLIow6TygQet3C5WZjRKp6DEj3TZduJpzgcgfd92CSItyPd0mdDdQilfrvlDQdTp6Q/q3XK6+lVm47IFjkh/9c7Vq6NJDEPzMr2F6Fu7/D/Q6DidUMydETKhQ2bxmHyy6PxYH9Hvz3vWLFNu69X3JC8AKHljjJJiDuuTcRaek6RTVULV4akoqpk80KwYm9T+X9CzPYVDgKOSc1LyY1ahyLl4YoHeIM/nnteLURcXHAquWh7bZW1WBTvACjURficNIibKqVCDkneeFTq/rt3b0TsWt7aPXRSPvT7ioDfgwUveKPqUtXI0pKRDwwICncV2VatTHgt5+lUMhuN5iw8De74nOLOdjHYoNg9rfNKiquM++0DJeOBfg/e/cd31S9/gH8c7LTpE13obSl7L33HiIyFRkCorhFxXWdoCKgCAjOq173Ty8oFwU3igNlKojsvWcLdO+RZpzfH6dJkzRpkzSdfN6vV1/Qk3NOvklzkpznPN/nAXIdspc8Zbw7ksmdm9tU1IQjsbkS9z9iwLtv5mDzRmlKYpBOwCCHi3iePiOiY+To2EWF3f8Y0bGzCt9/XTZFVOlyn48/E4YtfxQhSCeUO7ZsEhKrfmpUnUHCMeOD8NMPhbjdTdBVqRJwzwMG5OdbEdNI4VXn8hCDvFypF71eQJfuaqz+tjEAYPMfZa+viEhZub+Fbb+OWVIH9hnRrYKGhZ7ExskrTERw/Pu66thF5fSeZZOba3WbURgaLrN/rro7ZsMj5OVqH/YbpIXZXNaZt2kzBc6fdf5OYatfbXvPzMm22GvsRUbLK7zoCUjlBTxNPXa8L8eMQtdgriNPyYZGo4hs2wXecJn9M8xqlS4waLUCCh0yCgsKRFxKlu4/1k3WtI3jdzXX74e2wGFujrXcud7OHcU4f9ZsTzCoyOVLFnz9Zb7TbCLb1GLb61EQBERGyewX5sPCpWCoWiNCJpPWj23iXNLCtq1jBl6jxtLrIDfXiiulU9zdZY03jpU7BQpTrljsY4qNVeDCebO9Rqy7jELXafquzUhatFLZLxC5BqptF1IcZ0V07qpCfGmSjEwmoHdfDXbuKMaUm4M91iwHgDbtlPaM4znPh+HieTOMRhEvPJuBvDzR7/OThiYvLw96vb7Sc0VHhYWFCAoqf6HWaDQiL6985nJkZGS5ZTWp1gKFVqsVX375JRYsWGB/wnr06IH+/ftj9erVbgOFMpkM06ZNc1p23XXXwWq14vjx406BwtTUVKxYsQIGgwG9evVCbGxs9T6gesKXdGGVSigXnBs4RItzZ8xefZFyWz9NJe23sgwXT1eOvbFgcQQyMy2IT1Bg1m2p9kyH68Z6zsJyyihx+eAyaQX8eZOcU44dTLxJj/BwWbk6XI5fQm1fkP71dBhSLlvQvqPzF0ZDqMxtoNDxZNv1C4ZeL3NqROL4JcMxaGkrPt2pixpvvh+Fy8lmLH3B+eq0IVSGsHA5hrtktnbupsJjc0K9mh4NSCcE9zwgTbdwnALh2BhEoxWcXtNde6rttWs88feD2OzQWXPWQwaPdf3kCqnelmtB+fE36soChd5mFLoEprzJLHPNIHTXNAIoCzYIgvtsiLL1SrP9gmROGTmu2zy/KAKb/5AypD79MBc9HabLyuUCHnosFBkZFnTqoipXK8cWgHNs1HLHve4zZKrK8fmxTQ20Zc2Fhcvsz7lrIBQof9z4klHomlHnKC5BgQmTdYiKVmDM9dJxc+MUPbZtLsLt91TvNDvX92XX0hROGZeRzmU15HIBQS5TggDHqcfO05gdte+owv2PGNCilRIF+SIUCs8Bs4pen+641o1SO5zc3DPbgKcfTbdn944eH4Sh1wTZT4JtDXo0GqHCBjJKpYBrR3n+7LMZMjwIg4ZqsWRhplM2Tqs2ytLGO+Wzk2wcTwrDI+SY/1I4NFrB6y/PIQZpGlRerhV33BMCs0V0Gyh0fN4bx8oRn6D06Tl3l73nqRGRjeMJvbvi9i3dBCUA5/IHrtp1UGPeonA0aqRwer8eOUaHzl29C6y076Syn+i2aa8qFyjMyrTYj3ujU0ahdPL5wrMZAMofV+4uPNieY9tFV7m8rHB+RRRKwalmpWsWuStbZqPte2qvvhqnzy9P3wvjExWIilbgtXeikJVpcQokud6nTifD6PE6HDvs+ap5VaceV7c77zNg+HVBaO6hw7ytkztQ/uKap/euOc+HIzPDgjtvTgFQ/rPf8dgfe3359xN37w1XLlnKdQYGpA6xrhm4jsIj5F5dbLSZdmswVq+UTrA7dFK5bUSTnWV1myihC5KhWQslDh0ocZqV4jgW10BhaJgMI8cE2QOFnbuq8cpbUXjy4TR7EMd2wcT2vKx3OD6jouXlGpBNuzUYUdFyXLlkxpr/5VdYo9DpcTk0yqgoUCj38BXAaBRx5bIU2IqOUUCtFuzvK08/ko5h1wY5fW5eSjajuEgKssVUkDXt+HpwPW5tFyNycqzlLv58+bn0nA69Rotff6r4OzIAfPdVPmbcXv47mOPnQmSk3B4otGV6y+UCDKFS7eXoGDnOnSlrRmg7RqIdLujHNFYAe0tw/qwJZpOUHegumO2a9X4pqSzr2xAqA86XZRS6CxS6Tv111aKlEr//4v42tcvUY6D8hZ8nng3D5UtmNE1UOmWmunK8ECQIgj3LWq2RIS/PctVPPf7ss8/w1FNPIT09HXq9Hs888wyeeOIJj+snJyfjxRdfxNq1a1FYWIjg4GDcd999WLBggf170v/+9z/cddddCAtzvqB6/vx56HSVf4erLrX2aXjx4kXk5eWhffv2Tsvbt2+PXbt2eb2fdevWQS6Xo3Pnzk7Lz58/j59//hnJycnYuXMnXn75ZTz88MMe92M0GmE0ln05dhfVbQh69Fbjr63FTnU5fCGXe5464spdJ0N3V4RHjw9y+hAFKs4cqvR+Q8pqL8y4XfoC8ciToRWeUDh+6XWbHcQgoZMu3dRuM1RsQR2FsizQ0aixwu00LHfZIQqF80l7kEvWgi7Y+aTY08mKY1OVpolK+xU8R56+iAqCgMHDKp+W547j43Ss1eU6vaJPPw3uf9jgdTDSF45ZHxU1/1B4qDfYvqMa9z9sgFIleH0S7hoo9FQLzFH5QKGnbKXSadOaigMPti/emiDpQsSS1yKg0ZRv9BEWLseEyXqIoohOXcquttpc41BqwfXLvC1Q2LiJAg89HoroaHmFXYGrwnnqsfRaGjkmCFs2FqFjF7W96HS0m/t3Pdn3JaPQWkGHBEEQygUEb7s7xOvPhKqorLmAY3A6wk3nSp1eav7iyF2NQtdpO4Ig4Loxzl/S3HU9tK3rC9f3QMeMq9ZtVZg8XY81pZlnTeIUTt27I6PkeO/T6CpPe3ckk0l/34z0LEycImUuyuUCXlxW8RVtKSBV9py4y/6viFIpSJ2YxbIMtOkzg/HtWufmExaHc6h/vx/tczH1UDfHQWX1MbUOrw130/zDwssawwBSfbqoaHmlGY49SutQZjtc+KooSO/K1s396OESNI5VoHVbJU4cK/sbZGVZsW1zERo1ltunfjrWIrQ3e9IJMDpMI3P3nLoGE7VeBoEVcucTZ2UlmdeupTdcT7o9BQp7bc+C9R/pNplZxBCH257el49bi8sHHI4OCXe7r74DNJU2MattCoWAlq28y+AuN/W4giwix+Cga6DQ8WLTaDelT9x9Z09LtSDfzXevmBg5Uq9Y7BdB2rRT4vjRstduuEtN3sqMu0GH39YXQBskQ2JzpdvPCtfMLBudXoY588ORlWGxv/c0aiyVjZHJnLsiA1JNw5AQGWShAhKbKXDurBnde0pNYaKi5fZAob0utLvmYGGyct9tmyYq0G+gFgf3Ge2BQm+mdzpnFHpev0s3Na4bE4TLl8w44NA86fRJE7KzrJDLgV591BAE6aJafr6IC+fN+O9HubhmZNnFZFt9RFsDPE8cz6Ncj1vbBZcSo1iufp/tvWrYCC06dlbh/bdzEBevcHp9OCopcd+p1/F1HuFwPDvWuQ0NkwKFYeFS0x9bQFTjYeoxUDbVu1Ej9w2PGruUjbBlX4aGll3c/eXHAjRvqUSem7+Xu3JMjtxly9rYLoo4fo64fmapVIK9kU5FfQI8ZbyqSk/7ruapx3/99Rduv/12fPzxx7jlllvw66+/YsKECYiPj8fUqVPdbvPTTz9h4MCBWLZsGUJCQrBlyxaMGTMGUVFRePDBB+3rNW7cGElJSTX1ULxSa4HC3NxcAEBoaKjT8rCwMPttlTl69Cgee+wxPPbYY4iLi7Mvv+OOO/D2229DUfqt+5NPPsHdd9+NAQMGoEePHm73tWTJEixcuNCPR1K/3P9wKFq2KsBgL+oTVdW0W6SaMy1aKXH4gPTB5C7z4Y57DejRS4PNfxRh6yYp08fdlX9/DL0myF7gvSKOX3o9XXmjytk+XCpKabe5aXow9vxjdKpH1aO3xunLh+tUPp1O5jQd1PVkZd6icHzzZT5uv8c5cOEu4FUd9dQcpyI41gpyvaonCILHDNe77gvBl6vy3U4r8obrFy9PPHUZBirOvnWn3NRjL47fcoFCDyeBcQnSSbCtC60ntqCe7TXYrkPFmTmCIKBFJSdbruUVHKdSXjOyet9DHZ8P2/vh9RP1uH6iFMAZe4NO6q7bv3xQRhtUlhUAVJ5R6Bhw97aTal3jmFHoLkjjmrEqnQSWr1HoTfCpohMkXwiC89/J9f1sxm0haNRIgb+3F5fL/AUqroPnryZxUmaWL+66LwSXks0YP8H/q96uQaGpM4IxZbreXlMJkGrk2fjTcdGxFt/gYVqcP2fCfQ+FVriNc9Oc8rcLgoDGsXJ7F+PuvXwLNDmeyJV4kUHk6MlnpSlhrdoo8dwL4fjx+wLs3mnEqRMm7NpRbM9at2U3uTsugoJkKKmkhpzr56e2kmm1tmnzI0bp0LhJ2X1WNPUYKP+Z7Jpx6ylQaHUISljlgFUAZKUPSfTwp3D9TB57gw5Dr9GiVZvqLaFQ07ypUWijUgn2mnyuFyBatlbigUcMaN5S6XbaubtlxcWi247HIQYZdDrBnm3Yuq0Kp06Y7EGS8AipqUhcggKpKZVnL+mDZXj7o2jI5YI9eLNwSQQ2/VGIM6dMOH+2rCOyQik9TtvUe51egE4nc7pA/cyCcHz8fi6m3xKMv7aV1ad9dmE4uvVU289jlr4RidMnTWhf2tTL1uBRpRbsry93TcQSmiqhVAn2mnVA2fuM7f0gP89zjUJHtsBVUaHVbRdmhUI6x5LJBNz/SCj27zHiwL6Mctt366m2l1YI0pXVnAVQrmsv4NzdvjKux5o2qOyxp5XW5AuPkDk1t4mMkqNdBzUGDdVi/Q+FOH40B4B0Ieb/PsiFTifAYpHGn+FmZpJTRqFToLBs3GFhcpyFGaFhcqcmJLZtHRt2ugbOHd/XnJa7TEe2vaYNoXJ7YO7QgRI89kCaX1l57pqr2diCd04ZhRXUWa9oxpDrRXIb23NzNWcUvvPOO+jbty9uu+02AMDo0aNx44034t///rfHQOE999zj9PvgwYPRuXNnHDhwoNy6RqMRgiBA5U3afg2o+Uq7pbRa6Uuva+Zebm6u27nbrs6cOYORI0dizJgxWLp0qdNtffr0sQcJASlwGBkZiV9//dXj/ubOnYucnBz7z5EjR3x5OPVGcIgME6cG18gV05hGCny2thFeWh6JmXcF45EnQ92up1IJ6NlH4/SFOdxNRkhNqWx6DHnWqLHU7dr1qpo7bTuo8P5/ozFvUdmV/WEjnE+GXa/Y6YNlFdb+6dFLg0XLI8sVg3d3Yu9uGllVGQwydO8lFdNu6lAzsaIrd67G36jHii9j0MzDtKLKTCjNBHJs0OLI9kVm4JCKO4T6wvVv4l1GYcW/ly0XsOzNqEpP6B2nHgeK65elyrLaAknp1PW4/GMK0skw/Nogt8eDIDh3HPfUxMFx/WtGatGmnbLaaw0GgrtkJscMYXcBEZnL384xI8KpRqE3gcIqlMZw5S6z2tE11wXhmQXhlQZ7a1NMI6mYva8XGCojkwnoUNrMJSpGXuUMbMf34ZFjgvDme9GVZv45vi95em04Zo97mp7tiVwu2Kc/N2vu2+MLj5CjS3cpCyjEIMf0W0Psz9HB/WVZQ7YaY+5OGnV6odLvg67BJU8nkTYvvByBZW9GYuAQDUIMZXXPKvtuFRomczq2ywcKy29T7nNDEGB2WM/q4fDS6QSnwGWPXuoGFyQEnGcVKBQeZsw4sJe0cLn4JwgCRo7RoWVr989RZKT7J9pWD9jxNaMPljnNQmjRSunUBdj2Xrf09Ui8+39lTTJcawYDUmkEQJpF4nh8dumuxiNPhNkDQ7bpwyEhMqe6ie6+LyQkKrFwSQTadlA5fXYmJCqcnj+NRoYOndT2CzxRtuYe0XL7Mtf3g8nT9Og7UFPuvm0XIW3Bm+wsKz54O8d+u1wOTJpavlNvTrYFFouIZ5/MwEfvOifZdO6qwv++aew0Fd3dTC9AavBh43qB/uKF8sFeb77j335PCAYO0aC3S4kiQRDs379tFyZdP99sQUtBENB/sAbXjNTi+UXhGDlGh7c+iMLr/4myv6bclTByzCh0bFLj+DqzlW9o217l9N3O9jdTqgQMGa5Fy9ZKdO3ufOHZXWOtipaHGJxf87YMdE/fez1Ra2S4/xEDbrq5/GvBln3veBx4+nsDtsxw97d56kFg27fxKs4o3LFjBwYOHOi0bMiQIdi9ezcsFaSEiqKI9PR0JCUl4dNPP8Xhw4cxY8YMp3UuX76MsLAw6PV6dOrUCevWrauWx+CLWssobNq0KVQqFc6ePeu0/OzZs2jZsmWF2549exZDhw5F//79sXLlSntjk4poNBpkZbnvoAUAarUaanXZG4G3WY1UMduH6sSbKi/O7fglMNyLwuTVxZtsOHIvPEKOtz6IdlsQ3Z2YRgpog2T2rJoevSuesqZSCejRW42+AzQVpuC7cjceX2rgeEsQBDy/KAKiKNqzhADfA0y+TmF01LGzGv+3Ksbj41v2ZhQunC+7Ch4ISqXgVAw9zItsTdeTxqrUJQXKAqCOU0uqqjqalPijskCfO/c/bMCCZ6QmC7Eern47eujxsErXqSvcfeQbHF5z7gIfjtvcO9uAps0cA/mOddAqv39363jxNcQtW50kcu9fT4Xh+6/zMeZ6HWIayfHIE6F+X0QRBAFTZ+hx7qwZ7SqZcuy4jY2nTFLH47OiqZ2efPhZDIqLRbdTm31lu0jjWLusoDRzy93YtEEyjJ2gR2qqxW12MuB+6nFFtEEytG5b9vzGNlHg1AlTpRmFCoUAfbDMXrvLNVDoLkDvLtBrUQIorSRk9fDWJwVXy7KYXMtnNBSOU4K9eW3qdDJkZ1mh87I+sY0tSGZjm5Z77oyp9Ha5vQlHcLDMqf5etx5q/LyuAJdQGswz2IKVMugd4iFKpeBUu3nIcG2lZS9sgbeUy7aApQydu6rx5xbpu0plDagcb60soG7L9nJsrOf4nKvUAm65o2y82iABuTll/wfc10y9ZqQW9z0UiqJisVyn2+xsK/7ZUezUjMMmxFC+6YynC+SOgT/X4Km7epKxcZV/p5gwuXwwyz6OUDky0ss+96RZE9Jj0Gidy96Ehsqdvp9ERStK15MBsLgPFDpsH+Eho3DytGCMGa9DkE4GweEhO77f2RpwGYudP6M9le/ydOHPECpzG3xr3lKJW+8MQXqaBZt+L8K+3eU7Pvfqq3aqG2wrhZKaYsG2zUX2piZFpReEHL9LV5RRKJMJTpm9UdFye4an56nHpYFCLzuZ1yd5eXlOsR/XuJBNWloaoqKcZ11ERUXBaDQiNze3XI1Bx/23bdsWBQUFMJlMeOmllzBkSFmhjOjoaHz55ZcYN24crFYrli9fjhtuuAFbtmzBgAEDAvQofVdrn4xKpRKjRo3C6tWrIZZeUrh06RI2btyI66+/3r7e5s2b8eWXX9p/P3fuHIYOHYp+/frh888/h9xlnqjFYsG5c+eclm3btg0XLlxA//79q+8BUZU5fgmPqIXsiem3BiMiUobJ0ysPapJnTeIVPp3whITI8O/3o/DRZzFeTemTywXMeT4cU3z4O4WGyfHCyxFO2YvVeWIgCIJTcFCo4Xfa8Ai5xwYHwSHOV8ED5aHHQ5HYXIHgYAFxXhSD97ZGobe6dFfj5Tci7Y1lAs3fQJC/HE+k3DUsqUzXHhq8+0k0nnshvNIp1vWNu+PJqZmJm88Px8NhzPU6dOhU9gWwomYm7rhbx9+SFa6d48lZZJQcd84yoFFjBQRBwLBrg5y6XPpq+swQzJ0f7tPFG1vWR5fu7ssZOGb8+vM+ptHIKuy87AtbHcYCN00k3J38FRZInUfveygU3Xq4DxQqFILT69vXrG1blo2vF15cg4DuPtPcBSMcMwrFCobqeFLvS9Z/feIYqPIm29UWpKsowOCOYwa7SiV9DwSAs6dtjTLKbg8OcZ5magiVO011dj02bYG3UeOcZ5sNHaGtNNPaVlvOVpcvSCdgyDVaNG2mQM8+6krfB+IdGjdWtm7XHmq8+HIEZj0Yal/m+Jy7PqeOWZa2utrupiorVQKUKsHt3yQz3YJv1uSXWw6479Lu6e/q+B5WWfAUAOLjq5bd7Xrx3nEWWWVZ9ja29zPXJmWA89R5x+8GrheSbcE7ucNduvs7q9SCU7meZh5K4QiCgDvuDUGnLs7fuQwGmVM9Wps27VTo2FmNodcEOY3T0ZTpwbj97hAsWh7htPzhJ0Lx6ReN7L8XFfk29RiwBVsltuxcwHNXe1sN54ZYo7B9+/YwGAz2nyVLlrhdTxCEcpmD5tJobUWJayEhIUhPT0dhYSE2bNiAJUuWYNmyZfbbx4wZg0mTJkGtVkOr1eL5559Hr1698P777wfg0fmvVlt7vfzyy+jfvz9uuOEG9O3bFytWrECfPn1wyy232NdZuXIlduzYgZtuugnFxcUYNmwYiouLMXjwYHz00Uf29YYOHYq2bdtCFEWMHz8evXr1QocOHXDhwgV8/PHHmDFjBm644YbaeJjkJaeaXLUQKJx6SzBumuFbm3MKjLiEwDf1cNW5q9p+UQKo/OpwIF0NLymdToZX346C2SS6/bLrqtzU4ypmFAqC4NTsob5r216FXn3VaJqo9Ps9qXGswuNUmPrMXcDAMYM20oupx458nXrsbp2KOg9XpG17JfbvKZ9FQHXHhytjkJlhtReBd2XLcKkLPNV31mgFtxfwMjMqqZ5fSqUW7FPbfG02Z8tolnsRKHS8QFJRYGbqDD3adVChczc1sLrA6TazSgAg7cdTRiHgfBLtaapdfecYHPamOdlNM/TYvq0Y3Xt6133bJtohUKjTyxBdmmFom1khHSPS+5xOJ0NEpAwZ6VZ0LC0t0KmrGrt2un8ffPn1SKSlWpCTY8V3X5X9rSsqQ2Mz5nod/vi1EFdKs+L0wTJoNDK88W6UV5+r3Xuqce+DBrSopEYyIH0H6eTStdwxUOsaHHMMuDsGDe9+IAQf/acss8nx4oPBILPXDNRoBOTliR4bfbibSaNUCXjquTCcP2fCF5+VBRgd3ze8eV6rOiPFNbMxzOGcz1PAzFVF70OO73VxCQqoVFLwy1MQsrLXgiAI9nqSgFRn0pMbJukx5nodpowrq68bESlHbJwCP69zbqzkWOrFXbMtQJry7pihbSOTCU4lAmzPh2Mt3cqSNhwvADVrocRfW6VMW62H8hIqe43CCndbLx05cgRNmjSx/+4umxAAYmNjkZKS4rQsJSUFOp0OISGV15YXBAFDhw7FHXfcgRUrVuCpp57yuG6rVq1w5swZLx9B9ajVbzdt27bFgQMHsGLFCqSkpOCJJ57AzJkzneoLDh06FE2bNgUgZQted911AICDBw867atTp04AAIVCgT179mDNmjXYu3cvYmJisH79egwaNKiGHhX5y/HDMNxDvZPqxiBhwyYIApa+HomsTEu5OobVyd8gQn3jWEy8MoHOKKxuNZ1RKJcLeHZhROUrXoXcHU5OXY+j3NVt9Lw/x+xibwKF7l7jMj+vO0yaGoyCfBF9+vnWKZhqTmhYxV1YBw3RYN23CrRxczJX0zxdAIttoijt4B2EX34qO1mtrMumjdohUOhrUK1FaV07d93IXZm9bOgSYpCjq4cMSLPDObynGoWA88Wphjr12DFQ5c3U4249NB4zSyvi+rqLcpk27phRqFACz74QgQ3rC3DzbdKJ9dgbdCguEtG1R/mTc7VGhrgEGcxnnQNi3gS09KVdjT9+NwdyhYCJN0kZqN5+1xcEAWPcdHn2lqaCQKFjENcx6DXuBj0y0qz2TEHH70YhDoHCrj3U9nIvtsArALTroMKVy2anWoyO+g/Som17lT1QGBwsOB0LnoJENs1bKqt8YbfCjEI3mZDuVJQh63gRQKOR4aPPG0Gp8Px393XWT2XfE5RKASqV1JUZAFq3UyGhqQJyOXD+rNk+hdwpUOghq1xTyYX3ZxeG4/NPc/Hwk9KUV5XS82vOleP3Wsdp2Z6eW3szkwaYURgcHOxVoG/w4MHYsGGD07Jff/0VAwYMsL++jEYj8vLyEBkZCUCqT+j62svKynIKRrquY7VasWfPHnTr1s3vxxQItX4ZNC4uDs8884zH2x2zC3U6Hd57771K96lUKnHzzTfj5ptvDsgYqWY4XtmojanHdHWoyWYN9u6P11V/l/H6pnygsJYG4qWaDhRSeaFhUv2szl3LnwCpVAJuulmP/HzRbbCkopMKx4xCf5tZyf18fahUAu6+v3qmy1PNUGtkeOPd6MpXrAGeAoW2Gq6zHjJg+m3BOHygBO++mY1Hngj1ar+O2Wi+lkLo1Ueaktnci7rCLVopcfyoyWPDlLBwqaZn916eM96cmplUcOHKcSp0HWkwGXCOf7fKAg5V4Rg4KioUnTIMAeeprXKZgOYtlLjXYYquQiFg6i0Vl5Nx7cTszRRZAEhspsSLyyK9WjfQ1BVMA7VN79RohXIXkx0DZ44ZYiGhMuCC9P9efcrqQt88MwRvvZYNQMqCnHJzxY/XcXqqa8OLygKwgbio5RjAEgTnutbeTj12nDbryjWTrrIpuL58v/O2YVVJWT8pNE1UQC4XMHhYEJJamPDVF/nQ6QWn2XPumtZ5o1dfDXr1LfubOF78qexxO1707NBJeqHJZJ6zuW0B0qu56/G//vUvdO/eHXPnzsWdd96JH3/8Eb/88otT8HDlypW45557kJeXB71ejylTpmDSpEno1asXrFYrfvjhB3z22WdO04pvuukm+wzbwsJCLF++HKdPn8bKlStr42Ha1XqgkMimIL+sZom3zTCI6rIXXo5AcrLZq2krVxtFgKceVzdmG9e+Ja9G4vdfCzH+RvcZHrbsFHfufdCAeU9lYMr08jXNdA5TwCxm/74Ax3kobk5Uk0LDZFAoYC9wb2PLoJfJBISGyjFgsBb9B2m8fl9zzKCJ9bGcgbspmZ786+kw/G9FnsdGCP/5v2jk51krnO5tcfhsqahGoePFqob6/i6TSY0hjEaxXFOa6lJcLCI2zvnv45ix2bS5f++VrgHq+jBdvOKpx9Jt7mqHOgaQHF+n140JwuEDJUgsrbFoC0T2G6jBd18pcOG8GT36VB7IcwxgugYG3R0K2iAB028NxsnjJkyY4rlJibccpx6rVIJTENjXGoXu+NoYyptJP7ami45BOW85Bt7iEpR47Z2ocq8Hx4xCjVaA1QrMetD3i4iOjUYqKwPkGCANj5DjnY+iK5zSbW9mchUHCtu2bYtff/0V8+bNw3//+18kJCTgq6++wtChQ+3raDQaRERE2D9XXnnlFSxevBgLFy6E1WpF69atsW7dOowaNcq+zSuvvIKXXnoJL774IuRyObp06YI9e/agffv2Nf0QnfCbLdUZtk53gO9dYqnh6tBZJX0x8vPLZW3SBsnQsoE1kggUQZCKQ9vqvtTVqcdN4hRITjKjV1/fajZR4DVuonDqGumLpolK/PeLGLcBAccgtcnHQGFicwViGilw5yz/xkUUSDKZlKWSmuI8p9hdqQ1fgmOOAQ9bo4rq0Kixwt5p1B2tVmZv/OCJc0ah5/X8bUBU32i0UqDQ20yoQIhpJHf6fNfrZXjrgyhkZloR72dNatcai/UhC9TxOQ926SStLc2IdNccyDG7zDFIP2ioFgaDHM1aKBBikGP5vyMhlwsI0smw9PVIZKRbEF9B/Twbxw7krgFXd0Ggu+8z4JoAzowJdaiJaDSK0Ok9B1Q9cQ0U2gJ5gB+BQi/OOZe+Hok/fiv0+TuIrRu2o+ZukgccaxT2G6DBg4+F+nUuXOTSobkiriVTKntvVzXgZia+GDhwIDZu3Ojx9ltuucVpRmxiYiI++OCDCvfZtGnTStepDfXvzJsaLH1w3b86SDXv8Tlh+HldAa4d7X+dGKqbIiPl9iLjNXkS44sFSyKwdVMhRvL1V+95Exgxu68L71H7jmrcO5tTh6nuiIwqHyhsXMWavI6HTk3W9/WHWenQzKSCr5Vt2qmw6feimhlULdJoBOSg+j9j+/TX4O+/itF/kAZyuYDYWCnDDQD0egFxCUrEN/V//67v3/UhC9TxOXcNdNoChO5qAjpmFCpcMl8du68nODRYCtLJvM6ydHzuXDt+FztkpE2doYchTB7QICEAdO2uhiFUhpxsK2IayZ0yTr0NFDpmvslk0vNkmxIbEuLba8ObwGLrtiq3TUU8mX5rML76Mh+PPOn5wocjxyYucoX39b5d9eytwRef5Xs1ldnX+2BG4dWnbn/a01Xlhsl6pFyxYNBQbW0PheqQ8Ah5hVMKqf56cVkEfl1fiOIi0e0V1rogKlqOiTdVXDuJGg6Tj1fK68G5Kl1lHDuA27hOBfWVY3dkd/uvSxwzCsUKsgZHjglCSYmITl0adra4LaBS3VOPH34iFNu3FaPvAGlqZmxcWaCwoTaLqYzjc67SuAYKS6ceuwkUhjlk3FV3PTjXqcfDr9Xit/WFaNNOiekzq+e7t0ol4L1Po/HV6ny0aqP0uaEY4FxzUx8sQ25OWSZdZVNuXd33oAEvv5iJG2+q+rRqm6m3BGPydL3XwTjHYGVxkfdZga5atVHhjfeiPNardeRtnU+bhtzMhNxjoJDqDJ1OVuGUEyJqWKKiFZjBIDDVId5OWYqMkiM9zYL+g9itmOoWx8ylxrFSx+bKitpXxtZRFaj7mVxOU48reNhyuYAbJgUuMFBX2bLaqjujUKeTOTVui4gsC1RcrYFCx2NF7RIAa1Ra69Ox26x9XYdjOD/P/6CRNxyn/QJAuw5q/Of/or0KNFWFVitzO43X29epY4BVpxOQm+P/WBo3UeCN9wLfkMqXjD3HhjZFRVULxCU28+7C+6zZBrzwXCYmTfXufdAW+L6am5lcbRgoJCIioqvaE8+EYcvGIq8zCt58PwopVyxo3qJuZsLS1cux5ubbH0VfdR3bLQ5nNhXVKLxa2AIvrlNfq5tj5qm3WWINWas2zp8VPXqp8fIbkUhIrPhUvKpBI0/i4hVIumjG4GHlpxXXRnmBMeODcP68GZ27eZfh6xhQlJqhWDyvXM8UFdZMIC4uQYkPVsR4vX6Xrmo88mQoYhrxjfVqwUAhERERXdUGDtFi4BDvy17odDI0b3GVRWCoXohzKEgfqMZw7TqocPRwiX1aaV3mGBysqOvx1cI2DVNdw3WAO3auB91GasA7H0UjM9PiVE8QkLIN27Tz/BxNvEmPX38qwPgbq6c+8vK3IpGZYUWTKpYlCJR7Hwz1aX3HZiZBDSxjVV43/iTlNIlXVGszK6p7+NcmIiIiImoARo/T4VKSGd17By6o9+SzYdi2uSjgTQ2qg9UhOMqMQiAiUgqiODbIqAntOqjxxNwwxDS+uv8I/gZXZt4Vghm3Bwcs2O9Kq5WhSVz9DbA5NjPR6xtGxuqjT4Xiy1V5uOf+utMgzbAqtdyynJsDP02b6iYGComIiIiIGgClSsB9D4cGdJ/hEXJcP7F+1PMzOsQyxYYRP6iSabcEo10HFfoOqPlGgQMD3Jxw6gw9vvg8v9qy7Oqa6goSNgRabVmQ07EGZn0utTD0miAMvabuX4yhqwcDhUREREREVO8Z9QKODJTBogTbkgMwhMrd1qGrj26aEYze/TRIbM7asFc754xCh3qYNVyLk6ghq8dxdyIiIiIiojIpLWRIT+ApTkMjlwto0UrFTDtyChTq9ALufdAAmQx46tmwWhwVUcPCjEIiIiIiIiIiqvO0Ll2Prxurw4jrgthhmyiAeLmNiIiIiIiIiOo8lVqw1yPU6aT/MEhIFFjMKCQiIiKiWueuw6INOy0SEREACIIAjUZAYaEIXTADhETVgRmFRERERERERFQv2Lodh4QwnEFUHZhRSERERERERET1wm13h+DUyRI0a8Eu2ETVgYFCIiIiIiIiIqoXBg7RYuAQbW0Pg6jBqvVAoSiK2LVrF1JSUtCxY0ckJiYGZBt/9ktERERERERERHS1qtVJ/bm5uRg0aBCuv/56vPrqq+jQoQOee+65Km/jz36JiIiIiIiIiIiuZrWaUfjcc88hJSUFR48eRWhoKDZv3oyhQ4di+PDhGD58uN/b+LNfIiIiIiIiIiKiq1mtZRSKoojPPvsMd911F0JDQwEAQ4YMQa9evfDZZ5/5vY0/+yUiIiIiIiIiIrra1VpGYVJSErKystC5c2en5Z07d8a+ffv83saf/QKA0WiE0Wi0/56TkwMAuHz5spePiBoSa0a61+smJZVU40iIiIiuDhV99vKzltzx5fuaDV9LRESVc/f+2pDeP21xHqvVWssjqZtqLVBoC8SFhYU5LY+IiEB2drbf2/izXwBYsmQJFi5cWG557969PW5DBADxD9f2CIiIiBo2ftZSoPC1RETkn4b4/pmSkoKEhITaHkadU2uBQrVaDQAoLCx0Wp6fnw+NRuP3Nv7sFwDmzp2Lxx57zP672WzG0aNHER8fD5msVnu+BEReXh7at2+PI0eOIDg4uLaHQ9Qg8Tgjqn48zoiqF48xourH44yoelV2jFmtVqSkpKBbt261MLq6r9YChfHx8VAoFLhw4YLT8gsXLqB58+Z+b+PPfgEpwGgLMtoMGDDA68dT1+Xm5gIAmjRpgpCQkFoeDVHDxOOMqPrxOCOqXjzGiKofjzOi6uXNMcZMQs9qLVVOo9Fg2LBhWLt2rX1ZRkYGfv/9d4wePdq+bPfu3fjtt9+83sbb/RIREREREREREVEZQRRFsbbufM+ePRg0aBBuuukm9OvXDx9++CFMJhP+/vtve3bf3XffjR07duDQoUNeb+PNOleb3NxcGAwG5OTk8KoVUTXhcUZU/XicEVUvHmNE1Y/HGVH14jFWNbVafK979+7YvXs3wsLCsHnzZkyaNAlbt251Cub17NkTI0eO9Gkbb9a52qjVasyfP/+qfg6IqhuPM6Lqx+OMqHrxGCOqfjzOiKoXj7GqqdWMQiIiIiIiIiIiIqob6n87XyIiIiIiIiIiIqoyBgqJiIiIiIiIiIiIgUIiIiIiIiIiIiJioJCIiIiIiIiIiIjAQCERERERERERERGBgUIiIiIiIiIiIiICA4VEREREREREREQEBgqJiIiIiIiIiIgIDBQSERERERERERERGCgkIiIiIiIiIiIiMFBIREREREREREREYKCQiIiIiIiIiIiIwEAhERERERERERERgYFCIiIiIiIiIiIiAgOFREREREREREREBAYKiYiIiIiIiIiICAwUEhERERERERERERgoJCIiqnZ6vR4PPvhgbQ/jqhEXF4fbb7+9RvZbXfdF/ktPT4cgCHjllVfsy/bt2wdBELB27dpy606fPh3R0dEQBAHPPfccAGD37t0YOHAg9Ho9BEHAtm3bavQxEBEREdUWBgqJiIgqERkZibvvvru2h1GrfH0OJk+eDEEQyv1ERkZW4yiJr1XfzJ07F9u3b8euXbsgiiIWLVoEi8WCqVOnIjY2FleuXIEoihg4cGBtD9WjBx98EHq9vraHQURERA2EorYHQERERA1T06ZNce7cuRq/36SkpHq1X6p+Xbt2hSiK5ZZv3LgRQ4YMQUJCgn3ZxYsXcfr0abz44osMwBEREdFVhxmFRERERHRVSk1NhVarLbcMQLnlRERERFcDBgqJiKjB+uyzz9C/f38EBwcjIiICN9xwAw4cOGC/vWfPnvYpsQqFArGxsZg5cyaSk5MBAPn5+RAEARkZGfj444/t67pOQ6zsfmx27tyJfv36QavVolmzZnjvvffKrWOrZ7h161b06tULQUFB6NmzJ/755x8AwObNm9G7d29otVq0bdsWv/zyi9vHvnLlSvTu3RtBQUHQ6/W49tprsXPnTrf3VdG4vH0OqmLBggUQBAGbNm2qdN1vvvkG/fr1Q2hoKMLDwzF06FCsX7/eaR13dQMD8bx6W4+wsteV65j+/PNP9O/fH1qtFosWLfLrsXvzdzKbzVi8eDHatGkDtVqNqKgoTJs2DWfOnPFqXJs2bYIgCPj555/x5ptvomnTpggODsbkyZORnZ0NAHjjjTeQmJgIrVaLkSNH4uLFi077NpvNWLhwIdq0aYOgoCAkJCRgxowZOHnyZKXPqztnzpzBDTfcAL1ej8jISDz88MMwGo3l1nOtUfjee+9BEATk5eXh/fffd5oe36dPHwDAjTfeCEEQ0LFjR/t+CgoKMHfuXLRs2RIqlQoxMTG46667kJaWZl/H8Xl6++230aJFC8jlcuzbtw8AcPDgQUyaNAmRkZFQq9Vo164d3n77bafx3n333YiMjEReXh5uv/12GAwGhIaG4rbbbkN+fr59vXHjxuGdd95BQUGB02OoKPvVtu+srCzMnDkT4eHh6NSpk/32Tz/91H6MBAcHY+TIkdi1a5fTPtauXYu+ffsiNDQUERERGD58eLljRqPR4NFHH8XGjRvRvXt3aDQatGrVCu+++265MZnNZixatMjptXnzzTfj7Nmzbve5Y8cO9O3bFxqNBs2bN8eHH35Ybp/ejDGQj5eIiKjBEImIiBqgJ554QlQqleKiRYvE8+fPi5mZmeIPP/wg3nnnnW7XLywsFLdv3y726NFD7NGjh2gymey3RUREiHfddZff96PT6cQxY8aIU6ZMEY8dOyZmZmaKTz75pAhA3LJli9P+dDqdOGrUKHHatGni6dOnxZSUFHHChAliZGSkuG3bNnHSpEniyZMnxdTUVHHSpEmiTqcTMzIynPYxZ84cUaVSia+99pp45coV8dKlS+JDDz0kqtVq8Z9//vFrXBU9B+5MmjRJVCqVYnh4uKhUKsWmTZuK999/v5iSklJu3fnz54sAxI0bN1a4z7/++kuUyWTiSy+9JKanp4u5ubni1q1bxbFjx4rFxcX29Zo0aSLedtttTtsG4nl1t193yxxV9LrS6XTiddddJ15//fXikSNHxAsXLojff/99lR57RX+n6dOni1qtVvz000/FrKwsce/evWLPnj3FyMhI8fz585WOa+PGjSIAcdKkSeLSpUvF9PR0cd++fWJCQoI4adIk8bXXXhNfeuklMS0tTTxw4ICYmJgojhgxwmkMzz33nGgwGMSff/5ZLCgoEC9duiSuXr1afOCBBzw+h56kp6eLsbGxYteuXcU9e/aI2dnZ4qeffipOmzZNBCAuX77cvu7evXtFAOKaNWuc9qHT6cRZs2Y5Ldu+fbsIQPzmm2+clhcWFoq9evUSmzZtKv70009ibm6ueODAAbFPnz5i+/btxYKCAlEURfvzNHHiRHHevHni5cuXxY0bN4pHjx4V//rrL1Gr1Yo33nijePToUTE3N1f84osvxODgYPHZZ5+139ddd90lhoeHizNnzhTXr18v5ubmij/99JOo1+vF2bNnO41r9uzZok6n8/p5s+17ypQp4o8//ihmZmaK//d//yeKovR+plarxTfffFNMSUkRk5OTxQceeEDUaDTinj17RFEUxS1btoiCINhfAzk5OeKWLVvE0aNHi2az2X4/arVaHDVqlDhhwgTxxIkTYlpamrh48WJREATxtddecxrTlClTxKCgIHHFihVidna2uGfPHrFbt25idHS0ePHiRad9jh07Vpw6dap4/PhxMSMjQ3zsscdEAOL27dvt63k7xkA+XiIiooaCgUIiImpwDh48KAqCID711FM+b7tt2zYRgLhjxw77Mk/BF2/vR6fTiREREWJeXp59mclkEqOjo8Vbb7213LqRkZFifn6+fdmJEydEAGJ8fLyYm5trX3769GkRgPjOO+/Ylx09elQUBMEp6CCKomi1WsXu3buL1113nV/j8jVQOGfOHHHVqlVicnKymJGRIX755Zdi48aNxYSEBLfBQm8sXbpUFATBKTDmjqdAYVWeV0/7rSxQaOPudaXT6US9Xi9mZ2dXur23j93T32nnzp0iAPGFF15wWn7+/HlRqVQ6beNpXLYA2OTJk52Wv/baa6JMJhNvvvlmp+VvvvmmCMApCDlw4EDx2muvrfjBemnevHmiTCYTjx8/7rT8ueeeq5ZA4auvvlouICWKonju3DlRoVCIb731liiKZc/T6NGjy425W7duYtu2bcWSkhKn5UuXLhVVKpX92LjrrrtEAOLXX3/ttN79998vajQa0WKx2Jf5EygEIH7++edOyw8dOiQKgiDOnz/fabnVahU7d+4sjh07VhRFUVy0aJEok8mcgt7uqNVqMTQ01OnYEkVRnDx5shgSEmI/Fv/66y8RgLh48WKn9c6ePSsqFAqnv49arRajoqKcjmOj0ShGRESId9xxh32ZN2MM9OMlIiJqKDj1mIiIGpz169dDFEXcfPPNFa536NAhTJkyBY0bN4ZCoXCaqnnq1KmA3Q8ADB482KkxgkKhQJs2bcpN+wSAQYMGQafT2X9v2bIlFAoFunbtiuDgYPvy5s2bQ61WO+3jxx9/hCiKmDJlitM+BUHA8OHDsXnzZr/H5YslS5Zg+vTpiI2NRXh4OKZMmYLVq1fjwoULWLZsmV/77NKlC0RRxPTp07F582a3U0wrUpXn1Re+vK6GDBkCg8FQ6T6r+th///13AMDEiROdlickJKB37972270Z1+jRo51+b9u2LaxWK4YMGeK0vF27dgDg9Dx26dIFGzduxPz583H48GG3DUa89fvvv6NNmzZo3bq10/IJEyb4vc+K/PDDD4iLi0Pfvn2dljdt2hQtW7Ysd2xdf/31Tr8nJydj7969mDBhApRKpdNtI0aMQElJCbZv325fJghCuee6Y8eOKC4uxqVLl6r8eFzHt27dOq/eO7p06QKr1Yrp06djy5YtKCkp8Xgfw4YNczq2AOnvk5uba5/e6+m1mZiYiB49epR7bQ4dOtTpOFapVGjdunW511llY6yOx0tERNQQMFBIREQNjq0ZQZMmTTyuc+nSJQwYMADZ2dlYv349cnNzIYqivY6YyWQKyP3YNG7cuNyykJAQe223itYVBAE6nc7tPvR6vdM+rly5AgDo0aMHFAoF5HI5ZDIZZDIZXnnlFRQXF6OwsNCvcVXV4MGDER4ejm3btvm1/ahRo/Dxxx/j5MmTGDp0KAwGA0aMGIGffvrJq+2r8rx6y9fXlTevHaDqjz0jIwMA0KhRo3K3NWrUCOnp6V6Py/X5sgWCPC13fB6XLl2Khx9+GB988AE6duyI6OhozJw5068ahRkZGYiJiSm33N2yQLhy5QqSkpKgUCicji1BEHDs2DH7c2zj+hzajs1ly5bZt7fto2fPnvbHZBMWFgaNRuO0j5CQEACo8vEZEhJSrqOzbXxdunQp997xxhtvID8/HyUlJRg3bhw++OADHD161B5QHjlyJH7++edy91PR38f2mvP1tenNe5Y3Y6yOx0tERNQQMFBIREQNTlRUFACUax7h6Ntvv0Vubi7eeecddO3aFUFBQQBQrnh+Ve/HRhAEr/fraV1v9hEZGQkAOH78OMxmMywWC6xWK6xWK0Sp5Ij9sfo6rrrgzjvvxMGDB5GamorPP/8cJpMJY8eOxcaNGyvdtirPq7d8fV25ZpZVpCqPPTw8HACQkpJS7raUlBT768abcVXledTr9Xj11Vdx6dIlHD9+HAsXLsQff/yBQYMGoaCgoNLtHUVERHh8PNUhMjISbdu2hdlsdjq2bMfVH3/84bS+63Noe45feOEF+/au+7jzzjvt61fnsenu72sb3+nTpz2+d6hUKgDAPffcg0OHDiElJQUrV65EUVERxowZg61btzrts6K/T0REBADfX5vePi+VjbE6Hi8REVFDwEAhERE1OGPHjoUgCFi1alWl66rVaqffV6xYUW4dnU7ndqqnL/dTU2xj+uKLLwK6X0/PgS+2bt2KzMxMDBgwoMrjiYqKwqRJk/D555/b912XePO68ldFj93T3+maa64BIHVOdpSUlISdO3fab68pgiCgdevWeOCBB/Dcc88hJSUFx48f92kfw4cPx/Hjx8tlI3733XeBHKrd+PHjcfz4cezfv9+v7Zs2bYpOnTrh66+/htlsDti4dDpdQKbDjhs3DgB8eu+Ijo7G5MmTsXLlSoiiWO443LRpk1OXZkD6+wQHB6NXr14APL82z58/j927d1f5telpjNXxeImIiBoCBgqJiKjB6dChAx577DG8/vrrWLx4MS5evIjs7GysW7cOd911FwBg5MiR0Gg0ePLJJ5GSkoLLly/jmWeegUKhKLe/jh07YufOneXqgnlzPzWtY8eOmDNnDhYuXIiXX34ZFy5cQFFREY4cOYJXX30VDzzwgN/7dfccuHPw4EHcdNNN2Lx5M9LT05GVlYWvvvoK06dPR3x8PJ566imn9RcsWABBELBp06YK97tgwQI8//zz2L9/PwoLC5GWloZ33nkHgiCUq49XW3x5XfnC28fu6e/Uu3dv3HTTTVi8eDFWrlyJnJwcHDhwAJMmTYJer8dzzz1XpfF5a/z48fi///s/nD59GkajESdOnMAXX3yBRo0aoW3btvb1evbsWW5qrKuHH34YMTExmDp1Kvbt24ecnBysXLkSp0+frpaxP/TQQ+jduzcmTJiAr7/+Gunp6cjOzsaOHTswe/Zsr4LB77//Po4dO4YpU6Zg7969KCwsxMWLF/HNN99g2LBhPmdVAtLf3GQyYf369bBYLP48NADSFNwnn3wSzz//PJYvX25/7zh8+DBeeeUVPPjggwCAefPmYf78+Thw4AAKCwuRmpqK//znP26Pw969e+O2227DqVOnkJGRgWXLluGrr77C888/b68z2L9/f0ycOBGLFi3CqlWrkJOTg3379mHy5MkwGAx49tlnfX4s3oyxOh4vERFRQ8BAIRERNUivvPIKPvzwQ3z77bf2hgcfffQRHn30UQBSI4tvv/0Wp0+fRrNmzdCnTx9otVosWLDA7b6ioqLQsmVLp8YU3txPbVi8eDE+//xzrF+/Hp06dUJkZCSmTp2K1NRUPPPMM37ts6LnwFWHDh0wY8YMLFmyBB06dECjRo3w9NNPY9KkSdi1a5ffNeQeeughaDQa3HHHHYiKikKHDh2wa9cu/PTTT3XmhN2X15UvvH3sFf2dPv/8c8ydOxcvvvgioqKiMHz4cDRt2hR///03EhMTqzQ+by1duhQ7duzAddddZ6+zmJiYiG3btjlNic/Pz0dsbGyF+4qKisKWLVvQpEkTDBgwAM2bN8eOHTv8bpZTGa1Wi02bNuHOO+/E888/j/j4eLRo0QKPP/44OnXqVK4phjv9+vXD7t27odfrMW7cOISGhmLQoEFYtWoVFixY4NSkw1vTp0/HHXfcgVtvvRVKpRKCICApKcmfh4hly5bhv//9L9atW4eOHTsiMjIS06ZNQ0ZGBubOnQsAeOSRR6BSqXDbbbchKioKHTt2xL59+/DLL7+UyxZu27Yt7r//fkyePBlNmjTBBx98gH//+9944oknnNZbvXo1nnzyScyfPx9RUVEYMWIEWrRogR07diA+Pt7nx+HtGAP9eImIiBoCQaxKuzkiIiIiogBKSUlBo0aNsGLFCtx66621PRzyk0ajwX333Yc33nijtodCREREPmBGIRERERHVGb///rs9K5WIiIiIahYDhURERERUZ9x88804dOgQZDJ+TSUiIiKqafwGRkRERERERERERKxRSERERERERERERMwoJCIiIiIiIiIiIjBQSERERERERERERAAUtT2AuspsNmPv3r2IiYlhMW0iIiIiIiIiogbAarUiJSUF3bp1g0LBsJgrPiMe7N27F717967tYRARERERERERUYDt3LkTvXr1qu1h1DkMFHoQExMDQHrhNG7cuJZHQ0REREREREREVXX58mX07t3bHvchZwwUemCbbty4cWPExcXV8miIiIiIiIiIiChQWGbOPT4rRERERERERERExEAhERERERERERERMVBIREREREREREREYKCQiIiIiIiIiIiIwEAhEREREREREQXAe29l418PpKK42FrbQyEiPzFQSERERERERHSVM6xKhWFVapX28fO6Qpw9bca2zcVISzXj+6/zUVTIoCFRfaKo7QEQERERERERUf0miqL9/xlpFjzxUDpysq3Iy7Nixm0htTgyIvIFMwqJiIiIiIiIqEpKjGWBwuxsC3KypUzC40dKamtIROQHBgqJiIiIiIiIqEoKC8sChUcPlQUHY5twIiNRfcJAIRERERERERFViWOg8NxZs/3/ZkttjIaI/MVAIRERERERERFVSVGR+6YlhQVsZkJUnzBQSERERERERERVUlQgul9e6H45EdVNDBQSERERERERUZUUFnrIKPSwnIjqJgYKiYiIiIiIiKhKHGsUXjsqCHOeD5OWe8g0JKK6iYFCIiIiIiIiIqqSoiIpINhvoAaz/xWKyGg5AGYUEtU3DBQSERERERERUZUUlQYEg4KE0n9lpcuZUUhUnzBQSERERERERERVYptirC0NENoChkVFIqxWBguJ6gsGComIiIiIiIioSsplFOqkcIMoAsVFDBQS1ReK2h4AEREREREREdVvthqFtinHSiWgUABmM3DkUAm69VRDLhdqc4hEfjObzfj++++xdetWjBs3Dtdcc02l2+zfvx8bNmxAbm4uunTpggkTJkAmK8vX27lzJ1atWlVuu2XLlkGlUgV0/L5gRiERERERERERVYmt67G2NKNQEAT7NORFz2fivx/l1trYiKrir7/+QosWLbBixQp88skn+OeffyrdZtasWbjjjjtw6dIlCIKAJ598EgMHDkRxcbF9nSNHjuDTTz9FYmKi048g1G5AnRmFRERERERERFQltu7GtkAhIE1DziuND37/dQHunGWojaERVUnjxo2xfft2xMbGIi4uzqtt7rvvPrz//vv23++//34kJiZi5cqVuOeee+zL9Xo9Hn300UAPuUoYKCQiIiIiIiKiKrF1N7ZNPQaAIB2nGlP916xZM5+36datm9PvMTExiI6ORnJystPygoICLFiwAIIgoGvXrrj++utrPaOQU4+JiIiIiIiIqErcZRRqNGUhB7m8xodEVKG8vDzk5ubaf4xGY7Xd18aNG3HhwgUMHjzYaXlcXBxMJhPy8/Mxa9YsDB482Gl6cm1goJCIiIiIiIiIqqTIXqOwLMyQn2e1/1+nZ/iB6pb27dvDYDDYf5YsWVIt93Px4kXMmDEDt9xyC4YPH25fPmLECOzbtw8vvfQSli9fjj179uDQoUN49dVXq2Uc3qoTU48vX76M06dPo1OnTjAY3NcsuHjxIlJSUtC6dWuEhIR4tV9/tiEiIiIiIiIi35RNPS7LKExLs9j/X1hghSiKtT6tksjmyJEjaNKkif13tVod8Pu4dOkShg8fju7du+Pjjz92us213mFsbCyuvfZabN26NeDj8EWthvR37dqFyZMno0uXLhg0aBD27t1bbp3i4mJMmjQJbdq0wa233opGjRrhrbfeqnC//mxDRERERERERL7LybaguFgKFIaElIUZiotE+//NZuffiWpbcHAwQkJC7D+BDhRevnwZw4YNQ6tWrfDVV19BpVJVuk1JSQlMJlNAx+GrWg0UHjp0CFOnTsXff//tcZ2FCxdi586dOH36NI4ePYpVq1bh4YcfDvg2REREREREROS7o4dLAAAJiQoE6crCDI/PDYNCWbZebq7VdVOiBmHHjh149NFHUVIiHQtXrlzBsGHD0LJlS3zzzTdug5B//PEHRLEseH748GH8+uuvGDlyZI2N251anXp8++23AwCSkpI8rvPJJ5/g/vvvR+PGjQEAEyZMQMeOHfHJJ5+gT58+AduGiIiIiIiIiHx35JAUHGnfwTljatBQLfoN1GDWbSnISLciL9eKmEa1MUIi/6WmpmLx4sUAgJycHKxbtw5XrlxBu3btMGvWLABSItybb76JRYsWQaVSYfLkyThz5gyGDRuGp59+2r6vfv36YerUqQCAX375BY888gh69OiBwsJCrFu3DhMmTMCjjz5a44/RUZ2oUejJpUuXkJKSgh49ejgt7927t9tpyv5uAwBGo9Gpw01eXl4VRk5ERERERER0dbAFCtt1LD+1UqEQEBwiswcKieobpVKJxMREAMCLL75oXx4TE2P/f79+/fD666/bMwfvvvtuTJ48udy+IiIi7P9/+eWXMWvWLPz555+Qy+WYP38+OnToUE2Pwnt1OlCYmZkJwPmJtP1uuy0Q2wDAkiVLsHDhwqoMl4iIiIiIiOiqYiy24swpqaZa+47ua7wFl9Yt5NRjqo/CwsIqzfLr0KGDU5DPNoO2Ms2bN0fz5s2rMLrAq9P9yZVKqZhBcXGx0/KioiKPRSD92QYA5s6di5ycHPvPkSNHqjJ0IiIiIiIiogYvPc0KqxXQBgmIipa7XSc4WAo9MKOQqO6r0xmF8fHxkMlkSE5OdlqenJyMhISEgG0DSG2wHYtL5ubmVmHkRERERERERA1fZqYFABAW7jkPKcTAQCFRfVGnMwqDgoLQv39/fP/99/ZlBQUF2LBhA6699lr7slOnTtnrD3q7DRERERERERFVTVZpoDA83H02IcCpx0T1Sa1mFKampuLEiRNIS0sDABw8eBAKhQIJCQn27L9Fixbh2muvxdy5c9GvXz+89dZbiI6Oxr333mvfz9KlS7Fjxw4cOnTI622IiIiIiIiIqGoyM6TgX1hFgcLSqcdpqZYaGRMR+a9WMwp3796NOXPm4NVXX8WAAQPwxRdfYM6cOdiwYYN9nSFDhmDjxo04f/483nzzTXTo0AHbtm2DXq+3r9OqVSt0797dp22IiIiIiIiIqGqyvJh63Ky51Etg199GfP91fo2Mi4j8U6sZhaNHj8bo0aMrXW/AgAEYMGCAx9uffvppn7chIiIiIiIioqrJypQyCiuaetypqxo33azHl6vyseGXQlw/kUk8RHVVna5RSERERERERER1lz2jMKLi8EL/QVoAQE4W6xQS1WUMFBIRERERERGRX7ypUQgAhtCyhiYWi1jt4yIi/zBQSERERERERER+8aZGIQCEGGQQBEAUgTx2PyaqsxgoJCIiIiIiIiKfGYutKCyUsgPDIyrOKJTLBYSESCGIbE4/JqqzGCgkIiIiIiIiIp9lljYyUakFBAUJla5vCLMFCi3VOi4i8h8DhURERERERETks/Q0KeAXESGDIFQeKAwtrVOYnc2MQqK6ioFCIiIiIiIiIvJZWqoUKIyKrnjasU1omLQepx4T1V0MFBIRERERERGRz9JSSgOFMQqv1jfYMwo59ZiormKgkIiIiIiIiIh8llY69Tja64xCKQSRw6nHRHUWA4VERERERERE5LO0FDMAICrGy0BhqLReDqceE9VZDBQSERERERERkc98rVFo73rMjEKiOouBQiIiIiIiIiLyidUq2gOF0V5mFIaVBgozM1ijkKiu8q7iKBERERERERFRqdwcK0wmQBCAiEjvAoUxjaQQRHaWFcZiK9Qa5i5R/WC1WvHzzz9j69atGDVqFIYMGVLpNiUlJVizZg1OnDiBhIQETJ06FXq93ud1ahqPSiIiIiIiIiLySWppx+PwCBkUCsGrbfTBMuj00ropV5hVSPXD33//jVatWuHf//43/vOf/2D79u2VblNUVIQhQ4Zg0aJFKC4uxnvvvYdu3bohLS3Np3VqAzMKiYiIiIiIiMgnmZlSoM/bbEKbmEYKnDllwpUrFiQkKqtjaEQBFRERgQ0bNqBZs2aIi4vzapt3330XJ06cwPHjxxEZGYmioiJ07twZixYtwptvvun1OrWBGYVERERERERE5BNb5+LQMN8ChY0aS+unXDYHfExE1aFly5Zo1qyZT9t8/fXXGDt2LCIjIwEAWq0WU6dOxddff+3TOrWBgUIiIiIiIiIi8kmWPVDoW1ghulFpoJBTj6mW5eXlITc31/5jNBoDtu8TJ06gZcuWTstatmyJpKQkFBUVeb1ObWCgkIiIiIiIiIh8kp0lBfpCQ30LKzQqbWiScoUZhVS72rdvD4PBYP9ZsmRJwPZdUFCAkJAQp2UGg8F+m7fr1AbWKCQiIiIiIiIin2TbMgrDfaxRaJ96zIxCql1HjhxBkyZN7L+r1eqA7Vuv1yMnJ8dpWXZ2tv02b9epDQwUEhEREREREZFP/M4obCyFIS5dMiMn2wJDqG+BRqJACQ4OLpfRFyjt2rXD8ePHnZYdP34ciYmJ0Gg0Xq9TGzj1mIiIiIiIiIh8YqtRGBbua6BQjpatlTCbgO++qr3plUSB9M8//2DOnDkoKSkBAEyZMgU//fQTLl26BADIzc3F6tWrMWXKFPs23qxTGxgoJCIiIiIiIiKf2Lse+5gRKAgCbpoRDAD46fsCmErEgI+NKJDS0tIwZ84czJkzB7m5ufj5558xZ84cfPLJJ/Z19u/fj5dfftkeKLznnnvQq1cv9O/fH7NmzULfvn1hMBjwzDPP2LfxZp3awKnHREREREREROS1oiIrioulAJ+vXY8BoFcfNTRaAcVFIlJTLGgSz9AE1V1yuRyhoaEA4BTE0+l09v/37t0bS5Yssdc5VKlU+OWXX7B+/XocP34c1157LcaPH+9UB9GbdWpDnT8aR48e7bYt9Pjx4/H444+73ea1117D999/77SsWbNmTtFeIiIiIiIiIvKdrZGJWi1AoxV83l4QBETHyHHhnBmpKWYGCqlOCw8Px5w5cypcp3PnzujcubPTMplMhrFjx2Ls2LEet/NmnZpW54/GZ555BhZLWTekY8eO4f7778f999/vcZsTJ05AFEUsXLjQvswx0ktERERERERE/rE3MgmTQRB8DxQCQEwjKVCYcoXdj4nqkjofKBw0aJDT7+vWrUNERARuvPHGCreLiorC0KFDq3FkRERERERERFcfW0ahP9OObaJjFACMSE1hoJCoLqnzgUJHJpMJK1euxG233QaVSlXhurt378aYMWNgMBgwaNAg3HvvvVAo6tXDJSIiIiIiIqpzMtKl4F54hG+NTBxFx0jbpqaYAzImIgqMehU5++GHH5Camoq77767wvU0Gg0mTpyIIUOGIDk5GUuXLsWaNWvw+++/QyZzf8XDaDTCaDTaf8/Lywvo2ImIiIiIiIgagvQ0KVAYGRWIQCEzConqknoVKPz4448xcOBAtGvXrsL1Fi9ejKCgIPvvw4cPR/v27bF27VrcdNNNbrdZsmSJU01DIiIiIiIiIirPFiiMimagkKih8b+gQA1LTk7GL7/8gnvuuafSdR2DhADQpk0bJCYmYt++fR63mTt3LnJycuw/R44cqeqQiYiIiIiohlw4Z7I3WCCi6hWIjMKYRlLeUnaWFcZia0DGRURVV28yCj/55BPo9XpMmTLF520tFgsyMzOh0Wg8rqNWq6FWq+2/5+bm+jVOIiIiIiKqWZeSzXh4VhrCwmX45H+Nans4RA1eWmrVA4U6vYCgIAGFhSJSUy2IT6g3eUxEDVq9OBJFUcQnn3yCW265BVqtttzty5cvxx133AFAanjy5ptvwmyWCqJarVbMmzcPeXl5mDhxYo2Om4iIiIiIqt8/O4oBAFmZVlgsYi2Phqhhs1hEZGVKGYBVCRQKgsDpx0R1UL3IKNy4cSPOnDnjcdrx8ePH8c8//wAA5HI5kpKSEBsbi6ZNmyI5ORlKpRJfffUVOnbsWJPDJiIiIiKiGpDlMOU4O8uKiEj/gxdEVLHMDCusVkAuBwyhVcs9io5R4NxZM1KvMFBI5Ku1a9di+fLlGDp0KIYOHYqBAwciODi4yvv1O1CYkZGB/fv3IzMzs9xtkydPrtKgXDVv3hxbt25Fly5d3N7+5JNP2qcKy2QyLF++HAsXLsTRo0cRFhaGpk2bQi7nlwUiIiIioobowlmz/f8Z6RYGComqUUZpfcKISDnkcqFK+4puJB2rKSnmStYkIlcDBgzA6dOnsWnTJrz77rsoLCxEjx49qhw49CtQ+O233+KWW25BcXEx9Hp9udsDHShMTExEYmKix9vbtGlTbllQUBB69OgR0HEQEREREVHdc/aMyf7/9DQLWretxcEQNXCBaGRiY596zIxCIp81btwYTz/9NJ5++mlYLBbs2rULmzZtwpo1a7Bs2TJMnToVq1ev9nm/fgUKn3rqKTzzzDN46qmnoFDUi9nLRERERETUAGVlWuz10oCyIAYRVY+MjLKMwqqyZRSmsUYhkd/S09OxefNmbNy4EZs2bcLJkyfRt29fjB492q/9+RXlu3TpEh555BEGCYmIiIiIqFbt3W10+p2BQqLqZasJGhZe9d6o0TFSTIHNTIh8t337dsyaNQvHjx9H9+7dMXToULz66qsYOHAgdDqd3/v168ju2LEjTpw44fedEhERERERVZXFIuKr1fkAgNAw6dQmI92CggIrcnOtFW1KRH7KLs3gtR1zVWGbepyTY0VxMY9ZIl+kpKTg4MGDaNeuHa655hpcc801GDRoUJWChICfgcKZM2dixowZ+Oabb3Dw4EEcOnTI6YeIiIiIiKi67dtjRHKSGXq9gFvvCAEA/LmlGHdMT8H9d6QgO5tZSkSBlp0tBfTCwqo+9VivlyFIJzVEYZ1CIt9MmDABV65cwdy5c5GRkYGHHnoI4eHhGDRoEJ5//nns2bPHr/36NXd49uzZAICJEye6vV0URb8GQ0RERERE5K2zp6UmJj36aBDftOzUpsQoosQIHDlYgv6DtLU1PKIGKTtTCugFIqMQAOLiFThxzIRzZ01ISFQGZJ9EV4uYmBhMnToVU6dOhcViwc8//4wFCxbgxRdfxIkTJ2qumcnly5f92YyIiIiIiChgLiWZAQCxTRT2KYyOzpwy1alA4ddf5uHgvhI8+WwYgnSBCbIQ1TRbRqEhABmFANC6rQonjplw/KgJg4cFZJdEVwWr1Yp9+/Zh06ZN2LhxI7Zs2YL8/Hx07twZjz76KKZMmeLXfv0KFDZq1MivOyMiIiIiIgqUy5ekzKbYJgqEhsnx4GOhUCqBwgIR77+dg9MnTbU8QklBgRXpaRas+DgPALD5jyKMHl+1GlJEtcFiEZGbY5t6HJhgd5t2Kqz7tgAnjpYEZH9EV4s1a9bg5ptvRufOnTF06FDcfffdGDJkCEJDQ6u0X68DhTt27AAA9O3b1/5/T/r27VulQREREREREVXmUrKUUdi4iZTZNOK6IADAiWNSwOH0KRN+W1+AlZ/kYcGSCDRvUfPTGlNTzHj60XRkZZY1aji438hAIdVLeblWWK2AIAAhhsAEClu3lY7LM6dNMBpFqNVCQPZLFEhmsxnfffcdTpw4gYSEBNx4440ICgryuP6KFStw5syZcsujo6PxwAMPAAD27duHb7/9ttw6zzzzDFQqVaVjGjFiBDIyMqocGHTldaCwX79+AKT6g7b/e8IahUREREREVJ0KCqzIKZ0CGRvrfFqT2FwJmQzIzbHinTdyAABffp6HOc+H1+gYLRYRyxZlOQUJAWDfbiMsFhFyOQMiVL9kZ0mv5RCDLGCv3+gYOULDZMjOsuLMqRK066AOyH6JAsVoNGLkyJFITk7G2LFjsXr1arz00kvYtm0bwsO9/1x5+eWXccMNNzgFCl977TU89thjfo0rIiLCr+0q43WgMC8vz+3/iYiIiIiIatrl0mzC0DBZuXp/KpWAZi2UTlOPdfqarwl49rQJp06YoNEIuHGKHtogAWtW5SEvT8RD96ZiweIIRMf4VQ2KqFZkZQW2kQkACIKA5i2U2LPLiKSLZgYKqc557733cODAARw7dgwxMTEoKChAp06d8NJLL+HVV191u83MmTOdfv/zzz+xcOFC3HPPPU7LQ0JCsGDBAr/HZjKZ8O6772L16tU4f/48IiMjMXDgQMybN8/vsoFeH916vR56vd7p/55+iIiIiIiIqpN92nGs+0DbuAnOU3tLjDU/6+noYWkKdIfOKky9JRjXT9RjVOmU40tJFmz+vajGx0RUFbaMwtAANTKxiYqW9peWYgnofokC4auvvsLYsWMRExMDANDpdJg2bRrWrl3r9T4+/vhjNG/eHMOHD3daXlRUhDfeeANvvvkmNm/e7PPYJk+ejIULF6JPnz6YO3cuJk2ahG3btqFr1664cuWKz/sDfAgUEhERERER1RWXkksbmcS5DxQOHqaFRlM2NTInu+YDELZAYdv2ZbWmZtwWgvE3SsHCs2fqRrMVIm+VBQoDG0qIKu1anpbKQCHVnLy8POTm5tp/jEaj2/WOHz+OVq1aOS1r1aoVLly4gKKiyi/45OXl4csvv8Tdd98NQXCesh8SEoKTJ0/i0KFDuOGGGzB27FiYTN59Nuzfvx9bt27Fvn378Prrr+PBBx/E888/jz179qBLly54//33vdqPK7+ObqPRiBdffBGdO3dGaGgoMwqJiIiIiKhG2aYexzZxn9kklwt49e0o9OorTWPMybG6Xa+6iKJoDxS27+hclL57L2lM584yUEj1S7Zt6nFoYAOF0aWBwlRmFFINat++PQwGg/1nyZIlbtfLz8+HwWBwWmZrIFJQUFDp/axevRpGoxG333670/LBgwfj2LFjeOedd/Dhhx9iz5492LJlC958802vxn/69Gn07dsX8fHxTsvlcjkmTpyI06dPe7UfV34d3fPnz8fq1avx2GOPIScnBx999BHuvfdeWCwWPPLII34NhIiIiIiIyFuVTT0GgCbxCkyfGQIA9sYnNSU1xYKsTCsUCqBla+dAYbPmUpfXy8kWFBfX7LiIqsKWURgW4KnH0dHScZzKjEKqQUeOHEFOTo79Z+7cuW7X0+v1yMnJcVqWnZ0NQJqGXJmPP/4Y48aNQ+PGjZ2WN2/eHGq12un3kSNHYuPGjV6Nv3Hjxjh48CDy8/PL3fbnn38iNjbWq/248qty7urVq/Htt9+ia9euuOOOOzB16lRMmzYNvXr1wrvvvuvXQIiIiIiIiLwhiqI9UBjbpOJTGlvmU26OFVarCJmsZjoNXzgnjS8uQQG12vk+Q8PKuryeP2tGm3Yqd7sgqnNsGYWGapp6nJFmYUdwqjHBwcEICQmpdL02bdrg5MmTTstOnjyJhIQEaLXaCrc9fPgw/v77b/z4449ejUkURRQWFnq1bp8+fdCoUSMMHDgQs2fPRvPmzZGZmYm1a9fihx9+wN69e73ajyu/ju6LFy+iU6dOAKToqdLjlYoAAF0mSURBVC2yOn78ePzzzz9+DYSIiIiIiMgbeblWFORLzUkax1ac2RQcIp3yWK1Afl7NZe8lJ0mBwiYeaigmlmYVnmOdQqpHsrNtGYWBDRSGhcugUEjHaWYGswqpbpk0aRJ+/PFHpKamApCmG69evRqTJk2yr7Nnzx4sWLAAJSUlTtt+/PHHiI+Px6hRo8rt1zV+dvbsWWzYsAHDhg3zalwymQw///wz+vXrh6effhojRozAzJkzkZaWhq1bt6JNmza+PlRpv/5sZLVaIZdLH8gtWrTAH3/8AQDYu3cvgoOD/RoIERERERGRN2yNTCIiZVBrKj6lUSoF6PVSdlJNTj+uNFDYTFp+vjTzkKg+yM6snq7HMpmAyCjWKaS66b777kOnTp3Qv39/PPLII+jfvz80Gg2ee+45+zp79uzBwoULnQKFJSUlWLlyJe68807IZOU/qz755BP069cPjz76KO69915069YNAwcOxOOPP+712CIiIvDuu+8iMzMTOTk5KCwsxB9//IEePXr4/Xj9mnrsOAf7kUcewS233ILOnTvj4MGDrFFIRERERETV6rKX045tDKFy5OebkZ1lRXzT6hxZmUu2QGG8+zHGJ0gZhUkXmFFI9YPFIiI3tzRQGB7YjEJAmn585bIFqSkWdOgU8N0T+U2tVuOPP/7Ad999h+PHj+PJJ5/ExIkTERQUZF+ne/fumD9/PlSqslISKSkpmD17Nu699163+/3Pf/6D/fv3Y8uWLZDL5bjtttswYMAAv8fpzTRqb/gVKHQslHjnnXeiRYsW2L59O+bMmYMJEyYEZGBERERERETu2LoFN/YyUBgaJkNyEjDv6Qz86+lQDBkeVPlGVVRZRmF8U2n5xQvMKKT6ISfbClEEZDIgODjwgcLoaCmjMI0NTagOUigUTlONXXXv3h3du3d3WhYfH48FCxZUuN8uXbqgS5cuXo9jx44dePvtt71at1+/fpg9e7bX+7bx6+j+6KOPnH4fMmQIg4RERERERFTtrFYR2zYXAQC6dFNXsnYph74Ia1aV7w4ZSNlZFjzzeLq9O6ynrEdbpmFWphVJF0ywWMRqHRdRVdnqE4YYZNXSbCQqRjom0jj1mMijc+fO4c8//4RCoaj0x910Z2/4lVH4wAMP4I477rDXKSQiIiIiIqoJB/eXICPdCp1eQK++Gq+2iY6W43Dp/0tKqjcg9/f2Yhw5JNWoUiiBIJ37EzWdToaISBky0q148J403DhFj9vuDsy0MaLqkJ0pBfBCA9zIxCY6xlajkFm2RBXp06cPPv3002rbv19HeLt27fxus0xEREREROSvHX9K2YQDBmuhUnmX1TRpqh5dukvZh+lpFphM1RcszEgry4a6dlTFU5wbNS7L2/hmTfVmOhJVlS2jMNCNTGyiOPWYqFKCUPa5t3r1akybNi3g9+FXRuE999yD6dOnY/78+Wjfvr1TsUYA6NixY0AGBwBHjhzBhQsXnJYFBwd7VeDx6NGjSElJQbt27RATExOwMRERERERUe2wTUts1Vrp9TZxCUosWByO6ROuoLhYRMplM+ISvN/eFxnp0vim3RqMabcEV7hucIhz3obRKEKtDvyUTqJAsGUUhlVzRmFaqgVWqwiZjMcCkauoqCicOHECRqOx2u7Dr0DhQw89BAC49dZb3d4uioG7Qvfvf/8b3377Lbp27WpflpiYWGGgsKCgABMnTsTOnTvRsmVLHDp0CPPnz8ecOXMCNi4iIiIiIvKeYVVqhbfn3Bzt1X4yM/3LahIEAbFxCpw5ZUJSUjUGCjOk8dmyoypy083BSLlixtnT0lTLi+dNaNlaVclWRLXDllFoqKZAYUSkHDIZYDJJjVPCwlnqjMjVgAEDUFJSguDgYCiVSphMJoSGhrpdd9KkSfj44499vg+/AoWXL1/2ZzO/DRw4EGvXrvV6/eeffx4nTpzAyZMnERkZiV9++QWjRo3CwIEDMXDgwGocKRERERERVafsrNKspgjfgxVx8VKg8NLF6quBllmaURjhxfiat1Ti9f9EY/6cdOzfW4KzpxkopLorqzRIH1ZNU48VCgHhEXKkp1mQmmJhoJDIDbVajd27d+Pvv//Gt99+i507d+LRRx91u258fLxf9+FXoLBRo0Z+3Zm/CgoKsGXLFhgMBrRp0wYaTcVFi1esWIFHHnkEkZGRAIDrrrsO3bp1w3//+18GComIiIiI6imrVbR3E/YnWNEkTjr9uViNgcKMjNJAYZT342vWUon9e0tw5rSpuoZFVGXZ2dXbzASQMnHT0yxIS7GgTbtquxuiek2tVmPw4MEIDQ1Fr169MHny5IDu369AYU3bsmULcnJycOnSJRQWFuLdd9/FpEmT3K6blJSE9PR0dOvWzWl5t27dsH//fo/3YTQaneZ45+XlBWbwREREREQUEHm5VlilOCEMob4HK5q3lKYbH9hrrJYaaMXFVhTkS2WYIiK8DxS2aKkCUICD+0sgiqJTsXqiuiInq3qbmQBSncKjh4HkZHY+JqpM586d0blz54Dvt/ouBQTI9ddfj0uXLuGvv/7C2bNnMXv2bMyYMQPHjx93u352djYAIDw83Gl5REQEsrKyPN7PkiVLYDAY7D/t27cP2GMgIiIiIqKqs019DDHIoFD4Hkzr0l0NbZCAjHQrTh4PfPZeRro0Po1WQJDO+1Otbj3V0GgEJF0w49D+koCPiygQsuyBwuoLI7TrIE2937qxKKC9D4jIe3U+UDhmzBgYDAYAUgHiefPmISgoCOvWrXO7vq0Dc1FRkdPywsLCct2ZHc2dOxc5OTn2nyNHjgToERARERERUSBk2eoThvt3GqNSCejVRypj9OeWokrW9p2tPmFkpG8ZV3q9DMOu1QIAvvs6P+DjIqoqs1lEXm5poNCPbF5vDR6mlYLmF804cohBc6LaUOcDha5kMhlCQ0M9NlSJj4+HXC7HxYsXnZYnJSUhMTHR437VajVCQkLsP8HBwYEcNhERERERVVG2nx2PHfUfLAUKN/1eBGOxNSDjsrHVJwz3o9HKuBv0kMmAXX8bceiAsfINiGpQTmnHY5kMCA6pvjBCkE6GQUOloPmWPwIfzCeiytXpQKHVakVubq7TssOHD+P8+fPo2rWr07I///wTAKDVajF48GB8++239ttzcnKwYcMGjBo1qiaGTURERERE1cCeUViFqY+9+mgQ00iO3Bwrfvu5MFBDAwCcPilNZ46K9qPRSrwCI8cEAQA+/TC3krWJapat27ghVBbw2p6uuvVUAwCOH2NGIVFtqNOBQovFgt69e+OFF17AV199hddffx0jR47EwIEDMXXqVPt6r7/+OmbNmmX/ffHixVi/fj0eeughrFq1CuPGjUN8fDzuuuuu2ngYREREREQUALYahWHh/mcUyuUCJt6kBwD8/GPgAoUlJSI2/S5lQPUbqPVrH9NukWY1nTphQn5+YLMdiarCVp+wKseet1q3lUqGXThnRnGAs37rkr+2FuH/3s+BxcJajFS31OlAoVKpxF9//QWFQoHVq1fj6NGjWLp0KTZu3AilUmlfr2PHjhg4cKD99759+2L79u0wGo344osvMGTIEPz5558ICgqqjYdBREREREQBkG0PVlTtNKZPf2n6cfJFM4zGwJyk//1XMfJyrYiIlNkzonwVGiZHVIwUiDl3JvDNVoj8Ze94XI31CW0io+QIj5DBai3L0m1o8vOtWLYoC99/XYDVK/Pw6pIsLHwmA1s3sYkL1T5FbQ+gMuHh4XjmmWcqXOfRRx8tt6xbt2744IMPqmlURERERERU09LTSmsAVjGryRAqQ3CIDHm5ViRdMKFFK89ND711uLSu4KChWsjl/k/NbNZcibQUC86eNqFjZ/8CjkSBZpv2X50djx21bqvCjj+LcfKYCR06NbzjYIND2YM1/ytrYLR3txE52SEYN0FfG8MiAlDHMwqJiIiIiIhs0lKlYIUt685fgiAgIVHKmbhw3lzlcQFAaoo0tibxVcvFaNZC2v7s6YaZSUX1ky2btyqNhHzRpp0UvF+7Oq/BNfe5nGzGt2vLdzdv216aNWkrYUBUWxgoJCIiIiKiOs9sFpFZ2lU4uoqBQgBIaCoF5C4GKlBYGsSMjq5qoFAKFpzl1GOqI6xWEefPSa/HmsoovHZ0EFq2ViI/X8Tnn+bVyH3WBItFxAvPZSA7ywqVQyJzTGM5nnouHIBUo/SO6Vfw9RcN53FT/cJAIRERERER1XkZ6RZYrYBSKU0drqr4plJA7sK5qgfkRFG0ZxRWNYjZrLk0rovnzTCZWKuMat//VuTh4L4SCALQrkPVp+l7Q6+X4b6HDACAK5cDE8yvC86eNuHyJQuCggR8sCLGvjwuXoHwCDniE6QLDVmZVqz4vzwUFjTcZi5Ud9X5GoVERERERES2QFxUjBwymf81AG1sGYWBmHqcm2NFSWlTlMioqgUKo2Pk0OkFFOSLuHjBjOYtlJVvRFSN/twiTYW9Z7YBrdrUTKAQAKKipWMpK9MKU4kIparqx31tO7i/BADQobMKoWFyTJiiw8/rCnH73SEAgJZtlLh4oew9acvGIowap6uVsZIzq9WK9evX48SJE0hISMC4ceOgVnuun3nw4EH8+OOP5ZY//vjjTs15fd1vTWBGIRERERER1Xn2QGEVp/baNE1U2vebm2Op0r5stRPDI2RVDmYIgmDPKmSdQqptFouIlCvS67tXH02N3neIQQaVWjqeMjKqdozWFQf3S/UWO3WRAkG3323A/75pZM9wnjBZj8goOWIaSUHSr77Ix+XkhpNRWV+VlJTguuuuwwMPPIBjx45h3rx56NOnD7Kzsz1us3v3bixevBjZ2dlOP45drf3Zb01gRiEREREREdV5tmBcIOoTAkBwiAxx8QokXTTj2BETevfzf79lQczAjK1ZCyUOHShhoJBqXXqaBRaLNOU/IrJm84wEQUBUlBzJSWakpVjQqHH9Dl+YzSKOHJIyCjt2KcsYE4SyiwtNE5X46LMY5Odb8fiDaUi5bMGL8zLwzsfRTutRzfrwww/xzz//4MiRI4iNjUVubi46d+6MxYsXY9myZR63CwkJwdKlSwO+3+rGjEIiIiIiIqrzUq9IWTXRAQrGAUDb0nprx46UVGk/ZfUJAxPIYEMTqits2WwxjRUBmfLvq8jS4z0trf5nFF5ONqO4SIQ2SEBis4rfK/R6GZa+FgmNRsClZAtOn+J7QW1as2YNxowZg9jYWABSAHDatGlYs2ZNhdsVFxfjvffew/vvv4+///47YPutbgwUEhERERFRnWfLKIwKUEYhALRtLwUKjx6uWqAw+WJpEDNAY3Oceuw4TY2ougkWEa8uycJnn+QCAC5fko67xrGBO+58YcvStR3/9dnly7bn0ruga1i4HF17SJmH/+wortaxXa3y8vKQm5tr/zEajW7XO3r0KNq0aeO0rE2bNjh37hyKiz3/bdRqNf755x9s27YNI0aMwKRJk2CxlL2W/d1vdWOgkIiIiIiI6ryk0mBc49jATT9sVxooPHWixO8Ow2dOmfDHb4UAygKPVRWXoIBCCRQWiPZADVFNiLwoYuumIqxdnY/UFLO943BtTfttSIHCK5dsz6X3Qdfe/aS6kP/scB/Aoqpp3749DAaD/WfJkiVu18vPz4fBYHBaFhoaar/NnQEDBuDUqVP4+OOPsXLlSuzevRu//PIL/v3vf1dpvzWBgUIiIiIiIqrTsrMtyMq0QhCAppVM2fNFbJwcQToBJhOcOo364ovP82CxAH0HaNCzT2A6VSqVAtq0lYKO+/cwQECBVVRkRdKFsqmsoihi185iKIwiGp8qC5hv21zkkFHIQGFVXb7k+8WOHr3UEATpgkR2dv1/DuqaI0eOICcnx/4zd+5ct+vpdDrk5uY6LcvJybHf5k6rVq2g1Wrtv7du3RrXXnstfv/99yrttyYwUEhERERERHXa+TO2E2w5NJrAncIIglBWD9DPxiFJpQHG0eN1AW020LW7FHTcx0AhBdj7b+XgwXvSsGunNLXxp+8LsWheJjr9YUF4clmgcO3/8u1TXmtr6rFtOv+FcyZYLPV7Gv6V0qBrIx+eS0OoHAmJUmDxWBVLJFB5wcHBCAkJsf+o1e4v9rRu3RqnTp1yWnbq1CnExcU5BQMrI5fLnTIFA7XfQGOgkIiIiIiI6rRzZ6UgXtNmyoDvu3kVAoVWq4jUlNJmD40CG0jpUhooPLjPWO8DJFS3bPq9CADw4X9yYLWK+PA/UgZTaCogAGjWQgGNVkBhoQhRlLodB2pava9at1VBrxeQlWnFwX31O2juT0YhALQrbbpk65hMNe/GG2/Ejz/+iIyMDABAUVERvvjiC0ycONG+zoEDB7B06VKYTNJnyf79+532cfHiRfz2228YMmSIT/utDQwUEhERERFRnXautPtvYvPABwptGYVn/Ogqmp1lhckEyGRAZFRgA4UtWimh10vBGnY/pkBxDDqnXLZgp5smGeNv1OOFpRHo0FmFVm2UWPxqJLRBtRM6UKkEDBomZVb98VtRrYwhEMxm0T592t9A4VEGCmvNAw88gFatWmHgwIF4+umnMXjwYADAc889Z19n586dmDt3rr0hyltvvYWhQ4dizpw5ePjhh9GtWzf07NkTTzzxhE/7rQ0MFBIRERERUZ1myyhMDGB9Qht7RuEZE6xW3zL3Uq5IGUIRUXIoFIGbdgwAcrlgz6C0dVUmqqqsTKvT70sXZjn9blYA/Qdp0LqtCi8tj8Tyf0chplHt1Ce0GTYiCACwc0exz8doXZFy2QKLBVCpgLBw38Iw7TtKgcKTJ0x4dUmW342XyH9arRZbtmzBc889B7VajVmzZmHPnj2Iioqyr9OlSxc8/fTTUKmkv9dHH32El19+GREREUhMTMQXX3yB33//HcHBwT7ttzbU7hFPRERERERUAVEs6/wbFx/4jMK4BAWUSqCoUMSlJDPiEry/j5Qr0rhiYqqnflvjJgocPljCzscUMLap8o6at1TiiWfCcMuTqUhpJgtoHdBAaNFKCaUSKC4SkZpiqbUOzFVh64zeqq0KMplvFxWiohXo0EmFwwdLsHVTEQYO0aBP/9qrX3e1UqlUmDFjhsfbe/XqhV69ejkt69OnD/r06VOl/daGuvUOQERERERE5KCgQERxkZRBExkV+NMXhUJA29KpfXt3+1YDzR4oDHB9QpvYJtJ+LyUxo5ACw/aabd9RhTnPh2HarcF4flE4YpsosHucAkkd6l6IQC4XEN9UCuDbsovrk6IiK37+sQAAcP2N/nWyfeHlCPTuqwEAfPJBLl5floW8XGslWxH5p+69CxAREREREZVKT5MCG8HBAtTVlOnUo6d0Ar53l2+BwtQUaWzR1TQ1M7aJtN/LyQwUUmDYXrONmyjQd4AW024JRmhY7XQ09oWt7ICtA3p9sn+vEQX5ImIay9GrNNjnK7lcwKhx0hTsK5ct2Px7EdZ9m1/JVkT+YaCQiIiIiIjqLFugMCLAzUIcdesldRg+dMAIo9H7+l+pV6qn47FN49JA4ckTJvz9VxFEkbXJqGpsgcLqes1WF1u9zvqYUXj+rPQ+0b6j79OOHXXorHb6/dBBNjeh6sFAIRERERER1VkZpYHCQHcVdpTQVIGISBlKSoDDB7zPKrx4QQoA2DL/As2xFtuShVn449f62/WVat/FCyb8/otUKy+6mupqVpfE0kDh+XoYKLxwThpz06ZVq7GqVgsYNTbI/vuJoyU+Xdgg8hYDhUREREREVGel10CgUBAEdO8lTQnc4+X046xMC7KzrBAEICGxegKFarVz9tGv6wuq5X6obrJlkAYik7SgwIq5/0q3/56QGPjGQNUpsbl0jF1KtuDQASPM5voTILtwTrqgEIj3ifseDsXaHxsjIlIGk0nKgiYKNAYKiYiIiIiozqqJQCEAdO8pTevbs6vYq/XPnZGyhGKbKKq1S+y4CWXND44fNSEttf7VaCPfpFwxY9miTNw88Qrefj0bMyZewddf5gEAcrItKCryvYnFT98XID9fhEYrYN6icDRvUb8ChYZQOYaNkDr9PvdkBu6YnoKc7LrfDdxUIiI5yRYoDMxzrlAI6F5aV/WNZdn29yKiQGGgkIiIiIiI6qyaChR27qaGXA5cSrJ4VQftbOnJuS3Tqbrcfb8Ba39sjA6dpc7MO/70LpBJ9Ysoivjuq3zMfSwds+9KxV9bi1FUKGLDz4UoLBSx4uM8HD9aggfuSsXzT2X4tG9TiYh130jZqPc9ZECPXv411Khtd91nQFS09D6Ql2vF0cN1v0ZfcpIZVisQpBMQERm48MuMO4LRsrUSeblWfLkqL2D7JQIYKCQiIiIiojqspgKFOp0MnbtKWYULn8lAWmrF2UpnT0tZQs1qIDNLoRDQsTRQeP4cMwobEotFxLyn0nHjqMv45INcHD1cArMZaNNOiS7dVE7rznsqHQX5Ik6eMCEzw/tsun/+LkZOjhXhETIMGqoN9EOoMfpgGd54LwqdukjPy7mzdf9Y2LVTCuw3TVRCEPxvZOIqNFSOWQ8aAEjlEkpK6s9UbKr7qvfyVwBcuXIF77zzDv766y8oFAoMHDgQjz76KIKDgz1u89JLL2HNmjVOy1q2bIm1a9dW93CJiIiIiChALBaxxgKFAPDQ46F4fk4Gki6YsXFDIW662fM5hy2jsCYChQAQFy/dT/LFuh8cIe/t/seIg/vLMuOGX6tF1x5q9B+khUIhICfbgtQUC558OB0lDgl0J46VoO8A74J+f/wmNTAZNiIIcnngglW1QaeToWcfDQ7uL6nzU26Tk8z44jMp2++a64IqWdt3LVopEREpQ0a6FQf2GtGzT/3MFKW6p04HCi0WC/r374+77roLzz77LAoLC/Hcc8/hxx9/xNatW6FUuv9QvnjxIqKiorB8+XL7Mq22/l45ISIiIiK6GqVescBkAlQq2KccVqfwCDlGjQ3CR+/m4vhRz9MajUYRl0rrjjVrXjOBwibx0qlb0gUTRFEMaHYS1Z5ff5SmBLdtr8TdDxjQspVzFqEhVA5DqByDhmqxdVNZ1+vjR01eBQp3/FWEPf9IDS9sNf7qu/rSAXnLH4UwmYDOXVW4ZmTgn3uZTEDvfhqs/6EQX3+Zj87d1FCp+L5AVVenA4VyuRxHjhyBRlMWGW/WrBk6duyInTt3YsCAAR63NRgM6Nq1aw2MkoiIiIiIqsOF81IgIC5BWWOZUG3aSYGa40dKYLWKkMnK3++FcyZYrYDBIENYeM1Uc2rSRA5BAPLyROTmWGEIrf7AKVWvX34qwO7SIN5Dj4ehSZzn0/Nb7gjGieMlyMqwoKQEOHG88vp8aakWvPJSFqxWKUgYl1C/Gph40rS0LuiVyxYUF1urtZlQVdjKBPTso6m2wP6Y8Tps3FCEI4dK8NG7OXjgkdBquR+6utTNI8qBY5AQANRqqW6I2Vxxyv2OHTvQv39/jB49GosXL0ZRUVGF6xMRERERUd1y4bz0nT++ac3lNzRroYRKLSA/vyxr0NU5h0YmNZXZp9bI7FmVSZx+XO+dOFaCd9/MgSgCY8YHVRgkBICYRgq8/2kMXnkrCgBw6rgJRmPFdekO7jfCbAaat1TiwcdCAzX0WhcaKochVAZRBE4er7tZhRdr4P0rvqkSTz0bBgDYtKEQ+fm+d8QmclXnA4WuFi5ciLi4OPTp08fjOsHBwZg1axaWLl2KmTNnYsWKFRgyZEiFwUWj0Yjc3Fz7T14eOwcREREREdWmC6UZOQk1GChUKAS0bCVlXh055D5r6+zpmq1PaBNXOv34/bdykJXpfTMLqnu+XZsPABg0VIt7Zhu83i4uQYGoGDmMRhGvLc3Cmv/lweTQyCIvtyxQdPyI9Prt3FVV72sTuuraQ0og+uSDXJjNda+Rh6lExOVLtvev6n2f6NZTjfgEBUpKgD83M0GKqq5eBQqXL1+ONWvW4PPPPy+Xaeho8eLFmDdvHgYPHozp06dj/fr12LNnD7744guP2yxZsgQGg8H+0759++p4CERERERE5KWLpVOP46v5RNuVLQix7rsCWK3lgxBnz9Rcx2NHcQlSoPDCeTPeeT27Ru+bAufKZTN2/Cl1w508Xe9TVqpMJmDkaKkxxt9/FePzT/OwZGEmjEYR677Lx61TruC39VLdQ1udTdt0+obk9rtDEBws4MwpE/74tbC2h1NOcpIZVisQpBMQHlG9YRdBEHDNSOk1seq/efZOy0T+qjeBwrfeegvz5s3D119/jcGDB1e4rmuTk2bNmiExMREHDx70uM3cuXORk5Nj/zly5EhAxk1ERERERL6zWEQkJdV8RiEg1f0K0gm4cM6M39Y7ByFysi04c8o29bhmA4XjJujsQcxdO41I9jA1muq2NavyYLUC3Xqo0TTR99fQiOuCoCg9JGQyYM8uI55+NA0f/ScXAPCfN3NQVGi1T91viIHCsHA5Jk2VupL/ur7uBQpt9VUTmtZMeYIRo4KQkKhATo4VyxdlISebGcfkv3oRKHznnXfw5JNP4quvvsKYMWN83t5kMiE1NRXBwcEe11Gr1QgJCbH/VLQuERERERFVr9QrFphLOx5Hx9Rs4w59sAw3TtEDAN57KwfbHLrNfvJBLoxGEYnNFIhPqNkAZnSMAgsWR6BnHylY+O2a/Bq9f6q65CQzNm6QXk/TZ/p3zhkWLsec+eF46PFQLFoeAW2QgHNnyoLGogjMfSwdVqvULTw8omE2vhk+UguFEjh1woTJ4y7h4D5jbQ/Jzvb3iK+hBjL6YBlefSsKLVopYTSK+O6rghq5X2qY6nyg8N1338Xjjz+Or776CmPHjnW7zgsvvIDJkycDAEpKSrBw4UIUFhbaf//Xv/4Fo9GIKVOm1Ni4iYiIiIjIf8nJ0ol2bBOF287D1W3iTXpcOzoIogh8uUqqX751UxE2/V4EQQAeeDS0VsYFABMmS0HM334uxF9bWZOsPrBYRJw4VoIlCzJhtQI9+6jRuq3/mX49e2twzcggtO+oxpJXI9Gzjxph4TKEGKRT/HNnzVCrBdx2d0igHkKdE2KQY8BgLQDAbAI++TAXolj79QpFUcTff0nTfzt0rrlsTqVKwLRbpODzTz8UVNrshsiTOh0ozMrKwuzZs6HRaPDss8+ia9eu9p9vvvnGvt6FCxdw7NgxANK0Y4VCgaZNm6JVq1aIjIzExo0bsX79erRu3bq2HgoREREREfnA1nE4tpJusNVFLpeCLAqlVBNw8x+F9rqAk6fpqxTkqaqOndWYMFkHAFi1gk0Y64Pv1ubjqUfSkXTRDJVawF33ed/ApDKJzZV47oUIfPK/Rnh+UTgaNZbjmuuC8O4n0Rg4RBuw+6mL7nnAgLsfkIKhZ06ZcGi/+wZENencGTOSk8xQKoHefT33VqgOPfuoERUtR3GRiP17606GJdUvtfOp66WQkBDs2bPH7W0JCQn2/8+fP9+eQSgIAp599lnMnTsXZ8+eRVhYGMLDw2tkvEREREREFBiXHDIKa4teL0P3nhrs3F6M11/OBiB1kJ12a+2XKZp4kx7fri1A0gUz8vOt0OvrdA7IVW/3P2VBm7vuC0Hj2Op5XbdsrcJ7n8ZUy77rIr1ehnE36JF0wYyf1xXipx8K0KmrulbHtK2083CP3hoE6Wr2uBQEAb37afDjdwX4+6/iGg9UNmSiKOKPP/7AiRMnkJCQgJEjR5brj+EqNTUVW7duRW5uLrp06YLu3bs73X7kyBH8+uuv5babPXt2pfuuTnU6UCiXy9G1a9dK14uPjy+3TCaToUWLFtUwKiIiIiIiqm7JtZxRaDNshBY7t0vTCJs2U+CpeeGQy2tnyrGjEIMcMY3lSLlswYmjJejWU10jTRPId2aziJMnpOYWb30YVWN1664mI0fr8PO6Quz6uxjnzpjw4X9yEJ+gwD2zDTV6vIqiiG1bpEDhwMG1k81pDxT+WYSoaDnMJhEDBmtrvEt7Q2I2mzFhwgTs3bsXI0aMwKuvvorw8HBs2LABISHup/cvWLAAn376KXr06IHg4GA89thjuO6667Bq1SrIZFIAeefOnZg3bx7uuusup21rewp9nQ4UEhERERHR1ck+9bgWMwoBoO8ADZ5fFA5BBnTopIZKVXeCca3bqJByuQgvPJeJRo3lePiJULTvWLvZVFTeuTMmlBhF6PUCmtRy4LuhatZCgSZxCiQnmfHo/WkAgMMHS2CxArMfDa2xcZw+aULKZQtUagE9+tTOsdihkwqNY+W4fMmC1Sul0gRrV+fjhkk69OyjQfuOqjpxsaM++eijj7BlyxYcPnwY8fHxyMrKQufOnbFkyRIsWbLE7Ta9evXC3LlzoVZLr4OTJ0+iQ4cO+N///ocZM2bY1zMYDHjjjTdq4mF4jfnpRERERERUpxQXW5GRbgVQ+xmFgiCgey8NuvXQ1KkgIQC0alOWIXTlsgULn8lEdralFkdErvLzrPjo3RwAQOt2qlprgNPQCYKAQcPKMvhiGskhkwG/rS/ExfOmgN6XYVVquR8b27Tjnr3V0GprJ9yiUAhY8lokpkzXY8hwLXr3k6Yff/dVAeY9lYFV/2VdU199+eWXGDNmjH02a1hYGKZPn44vv/zS4zZjx461BwkBoFWrVoiLi8Px48ed1jMajfj000/x3//+F/v376+eB+AjBgqJiIiIiKhOuXBOyiYMMcgQEsJTFk8cA4UAYDSK+GtLcS2NhlylpZrx+ENpOHZEClS1bV97DXCuBuNu0GHYtVrMvDMYb7wXZQ+Q/fh9AS4lm/HX1iJYrdUzpdNiEZGfb8Wm36VA4eBhtdtEJjRMjhm3h+BfT4dh7vwwTL1Fb7/t+6/zkZZqdrtdQYEVF8+ban3qa03Jy8tDbm6u/cdodN8A5siRI2jbtq3TsrZt2+LMmTMoLvbuPXf//v04d+4cevbs6bRcEAT89ttvWLduHfr164cZM2bAarX694AChHnPRERERERUp5w4LnUudQ2EkbO27VWYPE2PxrEKFBRY8X/v52LLxkKMuV4HU4kIEahzWZBXA4tFhCAASxZmIeWyBUE6Af0GanHdmKDaHlqDpg+W4ZEnwuy/j71ehx1/FuPndYX4eZ3U/HTCZB1umKRHTrYVTZspnOp67ttdDH2wDC1b+xbQVReI+NcDafYLHGHhMvTsU3eaiAiCgOm3hmDaLcF47qkMHD5QghUf5yEqWo6tm4sQHSNH+w4qmMwiNqwvRH6+iKbNFJjzfHi1Nd2pK9q3b+/0+/z587FgwYJy6+Xl5SE0NNRpWViY9FrLz8+HRlPx3zs7OxvTpk3DiBEjMH78ePvyvn374syZM9DrpUDu4cOH0atXL7zzzjt46KGH/HhEgdGw/+pERERERFTvnDgqZWC1bluzGViOUwg9ybk5ugZG4h1BEHDLHVIh/cwMCz75IBfHjphw201XkJNjhVwOPPdCOLr1rDtBi4bIahXtU4otFhFzH0vHiWPSazgoSMCb70UjKlpem0O8KnXsokKHziocPlBiX/bt2gJ8u7YAADBugg46vYCfvitAYnMlDu4vgUoFvP6faDRuIseVyxYkXzQjL8+Kdh1U9qCZqkBEuz+tKAoG8iIENNtnxYWisvsdMSoICkXdC9ALgoDb7grBU4+kY+umsgGnpVicniMAOH/WjJfmZ2L8BB0++SAXsXEKDByswcSptd/xPZCOHDmCJk2a2H93nCrsKCgoCHl5zlO2c3Nz7bdVJDc3F6NGjYJer8eaNWucgtOuWYodOnTAyJEj8dtvvzFQSEREREREZHPimHTS2rotMwq9FR4hx00367Hmf/nIyZGmrVkswKr/5qFrD3ZEri4njpXghWcz0Ka9Cg/+KxTHj5bYg4QAMHGqnkHCWiIIAubMC8eCZzKQmWFBn34abPilEObSWbfrvi2wr3twv/SeU1ICPPVoGoKCZEhLda73OfxaLVq0UqHHegs0BQAuA4A0RTc+QYG2HVQ4daIEY8brauDR+ad1WxX6DdRg+zZpuuxDj4dKwdBcK06eKIHZDDz4aCiWL85E0gUz3v23VF/zzCkTYps0vNdxcHCwx67Fjlq3bo3Tp087LTt9+jRiY2MrDBTm5eVh1KhRMJvN2LBhAwwGQ6X3pVKpkJKSUvngqxEDhUREREREVGfkZFtw5bJ0gt6qDWu6+WL6zBCMHq9DaooFQUECHr0/DSdPmHBgXwm6dPO/A6ttKm1NNuLIz7fiwjkT2nVQlQtynjtrQl6uFWq1AGOxCKsIJDZTIDhEhqOHS3ApyYyh1wRBrgB27zTCECpDi1ZKFBWJWLMqD6II9OilQUaGBXHxChw6YMT5s2ZEN5IjP8+K3v00aNVGhf97LwcxjRW4eN6ErCwrevRU49CBEowcG4Sjh0owaqwOH72bg/x8Ebt3GvHIfWmwWMpquw25RovxE+pu0OhqEBwiwytvRcJkkqbhz3rIAIsF+PzTPHyzJh8xjeTQ6WU4c6osuFuQL6Ig3wKVCmgSr4BaLeDYERP++K0If/xWBMf83OIg4FIbGb58IareTPO/6z4DzGYRw0YEof8g97UU570YgefnZCA3x4omcQpMmqZHdEzDCxR664YbbsDy5cuRnZ2N0NBQGI1GfPnll5gwYYJ9ncOHD+O3337D7NmzoVQqkZ+fj1GjRqGkpAS//fZbuanLAHD06FG0a9fO/vvly5fx22+/4YEHHqiBR+WZIF4tVSp9lJSUhPj4eFy8eBFxcXG1PRwiIiIionqtsmm9tim9/+woxkvzMxGXoMDbH9bsNN/6NvW4Mu+/nY31PxQiNEyG+x4y4O/txUhoqsSocUFuO7IWFVlx5pQJ0TEKexZcRroFTz6chugYOSZPC0ZJiYj+g7QwlYhIumhGYnMFsjKt+OyTXISEyjB6nA5WixSg0QfLYDSK+OGbfFw4Z0a3nmoMHqaFySRi04YihEfKsWF9IcxmESPHBOHwQSmr69Y7Q/DEg2m4cN6MUWOD0Ke/Bts2F8FoFKHWyPD7L4Xlxq7RCGjRWmmfQjlhig6iVer0CgC9+2pw4bzJHoQONI1GQHGxdGotCMB7n0YjplH9ysuxvf7r02vcX6Io4vxZM5rEKXDlshlPPpKOlq2UeOKZMOzbY4RSKaBnHw3Uain4t+67fHz2f3lo2VqJX4tMuNRahrxwAAIAQWiQz9mlZDP+3FKEkaODYAhtWEFCX+M9hYWFGDRoEEwmE2688UZs2LABycnJ2LFjBxo1agQA+Oijj3DPPfcgLy8Per0e48aNw6+//opnnnnGKUjYsWNHjBgxAgAwc+ZMpKamom/fvigsLMSKFSvQokUL/PTTT15lH1YXBgo9YKCQiIiIiChwvA0Ufv5pLtb8Lx/Dr9XiYYfGBDWhoQUKCwqsePbxdJw769zhNDhEhmEjtOjURY227VX4dm0+/t5ejPQ0C4qLpNPDCVN09oy5XX87dwIdMSoIx4+U4OIFMxISFQgKEuydfUMMMuTlWqHVCpgwRY8NPxciNaUsOGebTu44PdcfUTFyQASUKiAr04qiQu9Oa8PCZRBFIDfHirh4BdLSLGjXQYXWbVVIS7UgJ8uCXTvddz4FAJkMsFrLAoOCANw724BuPdVYvCATggDcOEWPodfUv8YlV1Og0FV+npShqvQiK9Dd+8TV+JzVZ/7Ee4qLi/H555/j+PHjSEhIwC233OIUANyxYwdWr16NZcuWQaVS4aWXXkJaWlq5/fTr1w9Tp061/75lyxZs3rwZcrkcXbp0wZgxY2q9VAQDhR4wUEhEREREFDjeBgrnz0nH/r0luP9hA64bW7PTNhtaoBAAsrMs+O9Hudi724iWrZW4lGTGpWTPWXWGUBlysq1Oy2zBMX9FRMowcIgWv60vRKFLQC+xuQIaTVmg0VHvfhqkXjEjNcWCAUO0KCkRsfn3InTtoca8F8Mhl0sn00VFVsx9LB0Xzpnxr6fD8MM3+fZA5PSZwTh6uAT7dkvBv7vvD8E11wWhuEhEWLj7LKnUFDOSk8xo3kKJzz7Jg1wBtOugwvmzZlw7KghHDpWg70ANTh4rQdNmSo/7qW+u5kChLxgorP8Y76lY/cqFJiIiIiKiBstiEXHieO10PG6oQsPkeOTJssxMi0XEjj+LcXCfEdu3FSMnx4roGDlumhGM5i2USGyuwM8/FuLDd3IgV0hNGm6coocgCJDJpO7Kv/9SCKsI3HlvCBY8kwlAWu/JZ8Ow7KUstGmrxKmTJhQXS3XQJkzWQaORYdwEPZYtysTJ4yZMmKLDmPE6RETKYbEAn3yQg4hIOYoKRZw7a8LAIVoMvUZbLrPm9rtDEGKQ2YOEAKDVyvDKW1HIybYiIlKOxOYKrF2dj0FDtejZW4O//yrCvt1GaLQChl8rTbvWui/NBgCIjlEgOkY6VZ79r9BytzduIt3WtQe7SRNRw8OMQg8YYSYiIiIiChxvMgovnDPh4Vlp0GgEfP51I6dgUE1oiBmFFbFYRJQYRWiDytcrzMu1IkgnVPo3OHLIiM//m4eZd4agTbvKg7tms4gL581o1lxRY9PrRFHET98XIi5BUaWmLnWFp9dpVV+bzCj0DjMK6z/GeyrGjEIiuuoUFVmRl2tFVLQcJSWwFykmIiKi2vX39mIAQKu2yhoPEl6N5HIB2iD3z3NwSPngoTvtO6rx0nLvg28KhYDmLZRerx8IgiBg7A3sPkxE5A0GComoQRJFEZcvWRDTSO50omEyiXjm8XScPW1GaJhUbPvp58PRu680daSwwAptkFDrBWSJiIiuNhaLiF9/krrZDh9R/xpBEBERNQQMFJJbhQVWHD9agrYdVNBqZbicbMZH7+Wg7wANrh3l/mqc1SqiqEiETlf+6qOpRIRMjkqvDFssImQyBDxIYyoRsWtnMTp1UUMf7Dw+i0WE1QoolXU/MJSdbYHBIGMQy4O0VAu2bytCn/4arPpvHjb/UYSERAV69NJAFEVkZ1mx6fci+/rZWVJV7sXzMzFshBYFBSJ2/V2MxOZK9OqjRlGRiLbtVYiNUyA91YLuvdSQyfjc++tSshnhETJoNN5lKBAR0dVl+9ZipKVaEBwsYMCQCgrIERERUbVhoPAqYrGI+OfvYvy2vhDHjpQgLl6BXn01GDRUi/AIObZtKkJqigUtWiux9n95OHbEBIUSCA2VIz1N6oy2e6cRa1blo217FcxmESUlInr11SA9zYKf1xUiP08qhhwRKcfwkUHY/EchQkPl2Le7GAqlgJtnBkOlFnBwfwkax8oRHi5Hy9ZKXL5sQXGRFe+8ngOdXkCnLmoYjSIio+SIjpEj+aIZrdupMPQaLeRyAbv+LsZnn+SifSc1OnVRISvTiqSLZshkQKNYOfbtMiI5yYwh1wQhJESGjb8V4uQJ6fG066BCfLwC2iAZ8vOs2LmjGKYSEWNv0CG6kQLBwTKoNQKMRhFyOfDl53lo10GFKTcH44O3c5CaYkFcvAIJiQp076nB+XMmaIME/PJjIQwGGSZO1SOmkQJpqWZ8+E4ulCqgUxc1rCLQtp0KzVsqYSoRceiAESYT0KWbCmqNDCaTFCR1DKZaLCLMJhFqjQzff52P/3s/FwlNFRg7QYcOHVVo3EQBmQz4528jSopF9B+sgUwmwGoVIQhAepoFkVFyCIKA7GwLSowiLGZApRYQFi6zB72+WZOP77/OR7ceagy7NggdO6vKBSOPHDIiP09Etx5qCDJp2oi3Ll4w4dQJEwYN1SIj3YL16wrQb4C2XB2bixdMuJRkRvOWSkRFu397OnWiBFHRcgQFyfDd1/kwFkuvwewsKz5+Pwcply345INc2KqvXjhnxoVz+eX2M31mMJq1UOKDt3OQnmbBxg1lAcQzp0w4c0oqpP791wX25e07qjBmvA5XrpjRq68GTROV9ufa9fk6fbJEKhCebUVouAw3TtYjqDSIXlRohUot4FKyGTqdDOERUqe8/63IxfY/izF3fjgaxyqQdMGEX34qxKChWuz+pxjBITK076hGXq4VWq2AVm2U5e7XZBLx19YitO+ocnoOjcVWlJQAuTlW7NlVDG2QDH36aXD5khlN4hUIcsmiFEURx4+akJVpQbsOKuTlSsfKwCFa6PQy/PB1Pnr01jgVmi8qtGLvbiOKCqXXolZbFhDc8VcRXn4hC63bKrFoWSS2bJKe72491Ei5YkbjWAVCw+T2+3Ycy5XLZmi0AkJD5chItyA7y4I9u4w4ecyE2+4OgdEoomkz6bHK5QJOnSjBubPS6yg4WMDF82YEh8hw4ZwZR4+UYNotwYiMqlp3wqJCK377uRBarYAh1wRBAKBUOT9/Z06ZEN9UCZXK87Fy4lgJ9u0xYsx4HfTBsnKP3dX+PUZs+qMQN88MQVS082PIzbVCqxHs47BaxSoFtkVRRMoVKStXEAQUFFixYE4GYhrL8dicsFoJmlssYoOdimixSG9aDfXx/X97dx4fVX0vfPxzzqzZJxshZCFhDWFHMCxa2UTAFkHUuvVSiuLyaJ9an3rrxdZ77aLWLs9jb12uArXVFlQEBFcqgmyCrAYIGCDJEAwJ2ddZz+/545iBMQkECwXC9/168Xoxv/M9M2cm5zfnzPe3CXEmthbFS8/VATB9RtRpvzuFEEIIcf7IYiYd6EqTWyql+OCdZlYua6Tsy2Cb7bpuJo48Lac/Faw2CPjP11F2jtUGugY+34U9jjMZMNDO4UJfu8c5YqSD42UBvjxm/i1c8Tr9+tvZtcODAnqkWUnPsBIVrbNru5eqyiBDhtk5sN+P1xv+N0pM0umWYqVgn/lCvfrYcDg0jhzyk5llpfCgn+zeVhISLez8zMuptT0+QWfEKCcOh8Z7q5rCtg0cbGfy1Ehi43TeWtpI6dEAdbVGaLvdDoOGOKiuCtKrjy2UlNE0iIrWSM+wsX5tM2XHgqSkWig8YH4Wyd0sBIOK6ioDTYNrp0UyZKgDixU8HsXzz9bh85qJt1GjnaSlW/H7Ffl7zGP3+1ToHLbbT38eJCVb+PYNUfz9rw0kp1jIybXjcunYbOZcPN+ZFYWmabiL/axc1khEpM6RQ35S06xs3+ohIVEnu5eNdR+1YBjtn/8jRjnYn+/DZoPMLBvxCTop3a00NphJJOPkR8YVVzpITLJQeNBH0eEAkVEazU0Kux2GDHdwvCxIqTsAQM9sK1ePj2Dpqw34/WYdPfW5Tv37u+It1NUaOCM0cgfZqakO8tmnXjQNBg+1Exmlk5FpZf1asyHgVK3Pa7GAUpDd23wPNptG0WE/x8uCbWKtNuiWYuHLUnNbQqIeSvC5S/yhzygiUiMt3crocU4MA95Z2RR2Dn2d1QZDhjk4cshPc5PB8JFOEhJ1qioNtm/1oOvmXEk11R0/h6aB1Qr+U/5OFgsEv/a1l5ikc/0NURws8JOTa8dmg5Zmhc2u0S3Fwq4dXr4sDZDd28buHV4GDLSzL9/LhGsjOVjgo6HeoKQ4EPadabfD6HERWCxmEr34iJ/CL/xERmokp1iorgzSvYcVr8d8nauviaDoiJ8N68zzq1+OjbyxTla80ciU6VEkd7PgStBZ+WYTwaDiljtiyMm18+DdFdRUGyQm6cy7N45jRwPs3O4FzKRjnEtnxqxoNn7SQl2twQ03RVFXY5CUbKG6KkhEpM7H/2hm4CA7I/Oc9Olno7rKYG++l+7drVRUBFn/UTPJ3SwcLwuGEvw/esTFqrea+PPL9aH3PGq0gwmTI8nJteP3KzwesyEiIkJj314fWb2spKVb2bi+BXdxAE2DOJdOXa2Bx6OYMSsKnx/+9ko9Y66KoF+OjeWvN5KYZGHad6I46g5w5JAfiwWionWOuv28+3Yz18+IYuhwO8kp5nP3SLNyvCxAU5PB6DERZPW2UldrYLFo7Nnp5ehRP3v3+Bg01M74SZH85eV6MrOtfG9uLNVVQXZt91JRHiQt3crwkQ5c8RZ8PoWnxeBggZ8e6VYCAcXGdS001BsUHfHT2KD44f9x0dRocNQdIDZOJ+A3FwNYvaKRlO5WbvxuND2zzIahw4V+HE6N7N42iov87N/r41vjI2hpMSjY52PrZg/bt3rp3sPCDx92ERGpsy/fbJzJzLJyYJ+Pqd82VwYFQg0UJcUB/D5FeqaViAidjetb2LyhhX+bF0v3VCuGoUINc62rd/r9Zi/61rlZ6+sNdu/w4Iq30DPLys7PvKRlWFn3j2YaGhTDRzqYMPnkqqNer8Jd7KdXH3P+uOYmI9QI0hGlFMuWNvLBO83c9m8xTLy27ZDSY6UB6uuC5OS2bag6k/YS7CcqgiQk6hQe9JOQqIfefyCg8LQoIqM0GuoN4lydbzRQSlFXZ+BynWzU+Hy3j2NHAwSDin459g4XcqgoD1B+PEiffjYiIszGwaLDfuJc5nXjYtfaEDR8pCOsEehsxb1Wbv6n9e+lFDFVEF2tyNxnEFlvXgN/+2xyWOPLv9LltpiJuDTJYiYXlixmcunrSvme80EShR3oaifOL39exfatXqKiNaZeH0XeWCdFh/1s3tDCnl1mtiU+QWfIMAebN7Tg98N9P4xj2BUOjroD7Pvcx/jJERwp9KMwEwI2q4bDqbFlowef1/wh29xssGp5UyjhAZDd28rYqyLQLfDq4gaUMhNpKd0tuEvMH4LxCWYCYNAQs+fe/r1mr6TdO7w0NyuGXeFgy8YWmhpPnq6ZWVZ6pFmpqQ4SG6eTnmEjGFR8vstLIAhjxjkp/MKP16MoPOjj5ttjqKkKkpxi9pDUMBMPPdKt+P3w+S4vjQ3mIhctHoUyzB8uVhtYLRoej/naw65w0D/Hxvurm6mrM3A6zW29+tioOB6g8ZRj7NvfhmFAY6NB91Qre3Z6Q9ti48weje0lgDqSk2tj7NURrF3TzPEvg6FjsljModOtjzuiaeaPQ59PtXndsVc7iYrW+WRtS5uE5LkWF6dTV3cWb/w0z2Oza1RXBYmJNT/PBx92oRSMvNJJTKyO12sm487mh+epPzrdxX5aWhTxCTovP1fP57u99O5nY9/nZ85W5411YrdrbFjXcsbYjnw9IeqK14mM0qiuNM749+5I/wE2aqoNKsqD2B0avg7+3k6nRrfuFo6WBFAKUlItlJe1bWw4VfdUCwrajYuJ0WhoMF8rMkpDKTNBd6ak76l03UwatTQbBAIdx8XG6dR/dY6lpVvxeAxqa4w2ScN/RvdUCzXVxnmvL+dTRKSG19P2++DrEpN0vB4V9v32z7LaICqy/e+CjpLjnXG6c/pUzoi2DWS6bibMjxzy88/eHVkscOUYJwcLfFRX/fPfdwDR0RoeryLgb5sEP/UzS0m1cOsdMWza0ML2reZ1x2qDrGwbx78MYBhmA4XHY15nzyQxSScqSicu3ky8eVoUySkWUlIs7P3cR480cyRBRqaVI4f9OJw6I0Y6UAb0z7WxankTmzeYC1RoGgwaaqd7qpmAzexpNlA8///q8HoVAwfbSUi04PcrRuY5+XRTC2XHggweZmfwUAf1deZ3lzNCIyfXzj/eb2bzhhaSulkYMdKB3w9VJ4Ls2uElMclsbLBaYeAQBxERGoUHfdTWGGav7aMBJkyOoGe2jd07vbhcOlWVQfr0s5PZ07y/SEm1snuHlwP7fdTWmvcIQ4aZieqjJX6+OBDegjTtO5EMH+nky6MBc4TEMAdr3mtm2dLG0Gc5Ks/Jpg0eGuoNdB1m3RzNjBuj+HSzh03rWxg8zEF0tM6wK8z3++7bTRz6wk9qDwtXT4jAbtfonmolLcNK4UEfRtD8mwcCsPz1RnqkW+nTz0ZqDytxcTr/95kaDhX6sdk0c+RIHxtxLp2JUyLp1s1CcZGftHQrR90B4hN0Bg12sOMzD0VHzH0SkywsW9pIqTtAYpLO1OujGDLcEZYULTsWoLo6SEKChZYWM8FttWocKw2wankjERHmaI3FbzXgj4D8CRZ8EZD7iUFK8cnKFp+g84unE0nP/NcudHEqSRSKS4EkCi8sSRRe+rpavudck0RhB7raiXOwwEfhFz4mTYls0xJcfjyAz6tITTNv6sqPm63eg4eefat+q8OFPp75VQ3TZ0Qx48bosOOoqzNCC0eAOdxK06DosJ+e2bawIa2tp6emadTWBCk86KdHmpWoaC3Ui6kzzjScryM11UFc8TplXwb5w9M1ZPa08sCPXWiaRmOjQWWF2WOupChAvxwbhQf9/P7pGnJy7dx4SzSZPa1hr7txfYs5B162jWunR9JQb7D0tQaSkixcOcZJbJzOUXeAUncAj0fRI81Cr942NqxvoehQgDl3x5KWbvY88PkU2zZ78HgVAwbaiYzU2Li+hZYWRUKihfzdXiZfF4m7JMCxo35G5jkZMcr83P1+xc7PPBQdCdDcZOBwatx0awwOh8aJigCrljdxuNDPsdIA/XLs5I1xkt3bRkamlYYGA3ex2VvK9dWPxuxeNoqP+ImO0WluNnAXB+jew8qEyeZQY6dTo7bW4J0VTYwY5WD2d2M4VOjj9dcaQz1jmpsU/QbYufv+OErdfnbv9FJ8JMCB/T6mTIvEatNY8WYjo746d2JjdWbdHI3zq2HiEZEaLc2qzRyU51rrubQv38s7K5vIG+skI9NGSbHf7GlW5EfTNb41IYIhw8wVAJ96oppPN3nIzLLy3Tti6D/ATmVFEFeCOSy+rs7sYen3m8mnVW81ERunM+urc+hXj1czflIkc+6KDR2Hx2NwuNBPY4NBfIKF2lqDPTu9FB70MWV6FEcKfUTF6DidGstfb8Rm1/hfD7mIjNQYMNCOz2cO4+7X305NTZDqSoMVyxpxuXQOH/Jjt2v86BEXyd2sNNQbNDYY5rD+HV4++rCZb02IZNcODwkJFrJ721DKHPafnmHFMMwh3wf2+9i53UNsrE5KqpUp08weecGg2XuwdV7TpGQLv3q8mp2fefn2zCiuuNLBJx+3EBurY7VqDBpiJz7BQnOzQa8+ttAchxXlATZv8NAtxcIH7zZjt0P+Hh+Dh9r56c8TKDriJ+CDnIEnf8zm7/by2iv1RETo9OpjY9cOLzExGt1SrHg8ij27zKRJrz42Dh300bOXDV0Hd1GAujqDntlWZsyKJquXlezeNpqbFfV1BicqghzY58Nmh+IjAbZt8XDD7Ci8PkV6ho3efWwUHvThcGocLwtSUuQnKdnCVdeYjSgLn68P9QyG8GTX4GF2St2BUG/Km2+Lpr7O4ECBj+6pVqKjNXbv9NK3v51uKRa+OOAjIkLn0FfnR9/+Zk9jm01j53YvKakWkpMtHCs9+ZzdUy2hHqS9+9q4ZqI5N5jNpvHKwvpQQi02TufaqZEEAuYQ4M0bWjheZiacI5waaFBXa5CZZaXUbSakUntYyBtr9ixtbDCw2zVKigNh77fVoCF2gkEo2OdD12HYCAfOCI19n5vXjohIDb9PEecyE0DdU81zPyZWJzvbxvZtHgzDTEYpZSbFU3tY6dvfzpr3miguMhcxqq8zQr1pe/W2mX/vQj+HC8OTPt2+aliyWMxGIl3XaGwwOFYaoLbGICXV/I5ubfQp2OcjLd1KnEtn7ymNCa3H055efWwMHe5g2AgHr/+tgYJ9PqxWM2FpBKHwi4678tsdGpGRWmi+VTB71Z4uid6R1ga71l6fKakWRuU5+fC95k4lXs/EYoFBQx1hDWZdgd0OI0Y5CfgV27f9a99b69/sdFobM89Ge0n09lxxpTkVxomKYJvjsDs04uJ0amqC7Y5G8URCU7xG4jHzdWq6a7TEwMpHk0lNu7A9LCVRKC4Fkii8sCRReOnravmec00ShR2QE0eIi883TfheaF6PwWefehkxynHGIXrng9+nCBrqol5ExDAUVZXBDuem7CyfT2GzffMFkYJBhRE05xs89XxTSlFSHCAt3dqphY++ybnq8ymsVtj5mZee2VYaGxQxsTpJyRYMw+z5VV1tMPHaiE7ND+j3KerrjdBwVTDPRcdX50EwqPjH+83EuXRGj4vg000tlBQFuPGW6LAhf16v4sA+Hwf2+xg63BGWeIW2cyH6/QqbzWxMMYLme/j6Z6GUYtN6D5s3tvDdO2PI7Gn27G6dk6zosDmnbMZXvYpamg2OlwXJ7n2yl9GJigDxCRaUARYr6LrZe6m6MkjfHBvNTSo0/2frce7L99Ezy0pdnYGnRdEzO3wOyZJiPwf2+xg0xEFCok5EhE5zk4HVpoXFBYOKhoaTQ1BP/axaezDv2uFh2xYPsXE6M2+KZvcOL9u3ebnhxigcTo13325i9DgnAwY62nyeYL4fpRQ+n/m8n3zcTK/e5vytdrtZFhen43Dq1NcF2b7NS12twdirnby/2pyLuKXFYNbN0Qy/wkFjo2LrZg8WC+za7qXyRJBhVzioqzWYc1csrnizN11ikoWK4+b8tja7Rl1tkLJjQTweg3ffbqaoyM///mrY9fGyIBYrvL2sif4DzKkPkrtZOPSFn8ZGg4xMKyXFZnL27vvjGDjYzuFDfo4WBzh+PICuaez4zMPxMnPI8a13xnBgv4/GRoOCveb8nROvjWBknpMN61qoqTaIidFJTrFQX2ew46vE8AMPuagoN4fh9+lnIypaZ+BgOzu2eenb30bRYT8ej8IVbyEyUiPOZTZy9Ui3su6jZmw2jSFDHbS0GFRVGWz4uAW7HYZd4aSiPGD2rk6xsm+vl+/MjKa+3sBigehonRGjHKFhzXt2evn7X+upqjTIybVTeSLIwQIfNpvGnXNjmHBtJKveaqSxUTEg186Yq518ttXD6681cuSQPzQFg9OpUVdrsC/fh8OhMfoqJ1dfE8Fnn3ooLTWHm7f2ZHQ6NRKSdMrLggSD0CPd7N1ZVRnk+JdBc8oIK8y6JZrefWykdLfiLjGT4h992IwGpPawcviQn5hYM4mulNnzcfhIJ16PovJEkN59bWT1svHq4noSEi2heXxb6brZ472+3mwMaG46+fOiVx+zsaShwWDZCS8JxxQRJ6f/5cgwnZKh5vfSxfBDWxKF4lIgicILSxKFlz7J95yeJAo7ICeOEEIIIcTZ62iRp7N1amK7PT6fwu9XRJ3jBpjGRgObTQvN4/jPMAyFUmdepKal2UDTCWvQaWw0F65qb9/tWz0cLPAx48ZoYmJ1AgFFY4PZI/TU+SRLivzExOhn7KXn9yksVjNJ7/UqcnLtp22QcBf72b7NQ1SUTp9+NhKTLbhcFpQy3295WZCGBoOoaJ0eaZbQMcX9rQI9oMjYr4iuVjQkaRzN1VBfvVbd7d1Om6j7V/wQl0ShuBRIovDCkkThpU/yPad38c+eLIQQQgghLhnnakXs0yUJweyBej5Wxo2OPneJx85+FhGRbV/zdMcxMs/JyLyT07hYrW2nZHE4tLCV6U+ntRdx776di8/MspGZ1XYeQU3T0DRITbOS2sG+hlWjZMilNzpACCGEuFxcEolCpRTbt2+nvLycQYMGkZWVdV72EUIIIYQQQgghTqczPU9PJb3NhBCXkos+UVhfX8/06dM5fPgwOTk5bNu2jYceeohf/vKX53QfIcSFJTdcQgghhBBCCCHEhXXRJwofe+wxysvLKSgowOVysX79esaPH8/EiROZOHHiOdtHCCGEEEIIIYQQQojL2cW7BCbm8OFXX32VefPm4XK5ALjmmmsYNWoUr7766jnbRwghhBBCCCGEEEKIy91F3aOwtLSUmpoahgwZElY+ZMgQdu/efc72AfB6vXi93tDjuro6AMrKyr7ZwQshzopRVXlW8aWlvvN0JEIIIYQ4H850rS8t9Z025l9x7e/M/Yjcg4gLfd/a0ev/s6/T+rxyjp9ee5+/fGaXltY8j2EYF/hILk4XdaKwNVkXHx8fVp6YmEhtbe052wfgySef5L/+67/alF955ZVnccRCiH+VjB9e6CMQQgghxLl0pmv7xXLtv1iOQ1w6/lXnzLl6HTnHz558Zpem8vJyMjMzL/RhXHQu6kShw+EAoLm5Oay8sbERp9N5zvYBePTRR/nxj38cehwIBCgoKCAjIwNdv6hHaHdKQ0MDubm57N+/n5iYmAt9OEJ0SVLPhDj/pJ4JcX5JHRPi/JN6JsT5daY6ZhgG5eXlDB8+/AIc3cXvok4UZmRkYLVacbvdYeVut5tevXqds33ATDC2JhlbjRs37hse+cWnvr4egLS0NGJjYy/w0QjRNUk9E+L8k3omxPkldUyI80/qmRDnV2fqmPQk7NhF3VXO6XQyYcIE3nzzzVBZVVUVH330EdOmTQuV7dixgzVr1pzVPkIIIYQQQgghhBBCiJMu6h6FAE899RRXX301c+fOZcyYMbz00kv069ePH/zgB6GY559/nk8//ZS9e/d2eh8hhBBCCCGEEEIIIcRJF3WPQoARI0awY8cO4uPjWb9+PbNnz2bDhg1hw4RHjhzJlClTzmqfy43D4eDxxx+/rD8DIc43qWdCnH9Sz4Q4v6SOCXH+ST0T4vySOvbP0ZRS6kIfhBBCCCGEEEIIIYQQ4sK66HsUCiGEEEIIIYQQQgghzj9JFAohhBBCCCGEEEIIISRRKIQQQgghhBBCCCGEuARWPRamgoIC9uzZ0+62mTNn4nQ6AVBKkZ+fT0lJCVlZWQwePLjdfY4fP862bduIjo5m3Lhx7U7y2ZkYIbqSt99+m+bm5jblGRkZjBs3rk15ZWUl//jHP8jOziYvLy9sm1KK7du3U1payoABA8jJyWmzf2dihOhKSktL2bhxY7vbJk+eTFJSUljZgQMHOHjwILm5ufTt27fNPrW1tWzatAmLxcJVV11FdHT0N4oRoitZu3YtFRUVbcrj4+O57rrrQo8Nw2D79u18+eWXdOvWjVGjRmGz2drst3fvXgoLC+nZsycjRoxo9zU7EyNEV3PixAl2796Nz+djwIAB9OrVq01MS0sLGzduxOPxMGbMmDbXuXMZI0RXtGfPHoqLi3G5XIwcOZKoqKiw7X6/n927d1NRUUH//v3p06dPu89z5MgRPv/8c7p160ZeXh4Wi+UbxVwuJFF4iSgsLGTFihVhZZ9++ik1NTXMnDkTgHXr1vHggw+i6zqZmZls27aNnJwcVq5cicvlCu23aNEiHnzwQUaNGkVZWRk+n481a9aEVarOxAjR1XzwwQdUVVWFHvv9ft566y0eeuihNolCpRR33HEH69at47bbbgtLFDY3N/Od73yHffv2MXToULZs2cKdd97Jc889d1YxQnQ1x44da3Mt27t3L/v376eoqCj0w6e+vp7bb7+dLVu2cNVVV+F2uxk/fjx/+MMfQvt9+OGH3HLLLeTk5ODz+XC73axcuTKsrnYmRoiuZuPGjezfvz+sbPny5Vx33XWhRKHb7WbKlCl4PB6GDRvG/v378Xg8vPvuuwwaNAgwE4lz585l5cqV5OXlsXPnTvLy8li2bFmo8bgzMUJ0Rc8++yw//elPufLKK4mKimLdunXceuutvPzyy2iaBsDnn3/OtGnTiI+Px+VysXv3bhYvXszNN98cep5zFSNEV1NfX8/06dMpLCxk9OjRuN1u3G43S5Ys4dprrwVg6dKlLFiwgISEBJKTk9m4cSNTp07l1VdfDWv4evzxx/ntb3/L2LFjOXDgACkpKXzwwQckJiaeVcxlRYlLUiAQUGlpaeree+8Nlb3//vtq//79occ1NTWqV69e6r777guVFRcXK7vdrl566aXQ80yaNEmNHz/+rGKEuBy88cYbClD5+flttj399NPq+uuvV9dcc42aM2dO2LYFCxao9PR0VVFRoZRSaufOncpqtao333zzrGKEuByMGzdOTZ48Oaxs1qxZauDAgaqqqipUtnLlytD/m5qaVHJysvr3f//3UNm8efNUVlaW8vv9nY4R4nKwa9cuBagVK1aEyubPn69ycnKU1+tVSikVDAbV2LFj1YwZM0IxixcvVlFRUerAgQNKKaWOHj2qEhMT1VNPPXVWMUJ0NfX19cpisahnn302VLZlyxYFqLVr14bKhg4dqm666SZlGIZSSqknn3xSRUdHqxMnTpzzGCG6mt/85jfK5XKF3QveeeedKjc3N/T4jTfeUKWlpaHHRUVFKi4uTv3ud78LlW3YsCGsbtbX16ucnBx11113nVXM5UYShZeo1atXK0Dt2LHjtHF33323GjNmTOjxM888o+Lj48N+JL399tsKUEePHu10jBCXg6lTp4bVn1Zbt25VaWlpqry8vN1EYc+ePdWjjz4aVjZlyhQ1c+bMs4oRoqs7cOCAAtTSpUtDZQUFBQpQb7/9dof7LV++XGmapsrKykJl+/fvV4Bat25dp2OEuBw88MADKjU1Ney+bs6cOWrixIlhcbfddpuaOnVq6PGkSZPUzTffHBZz//33q0GDBp1VjBBdTWVlpdJ1Pew6VV5ergD1/vvvK6WUys/PV4DatGlTKKa+vl45HA718ssvn9MYIbqiX/ziF6pnz56hBLlSSv3sZz9Tffr0Oe1+EyZMUN/73vdCj++55x41fPjwsJjf//73Kjo6OnRd7EzM5UYWM7lELVy4kBEjRpx2HphAIMD69etDQ0gA8vPzycnJwWo9Oeq8dR7DvXv3djpGiK6utLSUDz/8kLvvvjusvK6ujttuu40XX3yRbt26tdmvoaGBkpKSsHoHZh3Kz8/vdIwQl4OFCxeSlJQUmkID4JNPPsFisTBhwgQ2bdrEO++8Q3Fxcdh++fn5JCUl0b1791DZgAEDsNlsoTrUmRghujqv18trr73G3Llzw+7rFixYQFlZGQ888ACvvPIKjzzyCNu2bePJJ58MxeTn57d7nSooKCAQCHQ6RoiuJjExkaeffppHHnmEZ599lpdeeolZs2YxZ84cpkyZAhC6zpxaP2JiYsjKygq7Tp2LGCG6ovvuu4/09HRuu+02/vznP/PEE0/w17/+lT/+8Y8d7lNTU8POnTvb5D/au041NjaG7i87E3O5kTkKL0EVFRWsXr2aZ5999rRxP/nJTygvL+fRRx8NldXV1ZGQkBAW1zruvra2ttMxQnR1ixcvJjo6mltuuSWsfP78+UydOpXrr7++3f3q6uoA2q1Dp9axM8UI0dUFAgH+8pe/MGfOHOx2e6i8oqKCmJgYZs+eTV1dHfHx8axfv5677rordN1r7zoF5mINp7uWfT1GiK7urbfeora2lnnz5oWVJycnk5eXx+rVq3G73RQUFDBs2DBSU1NDMR3dDwaDQRobG3G5XJ2KEaIrGjx4MLqu8+abbxIVFcWxY8e44447QvMT1tXVYbFYiI2NDdvv6/eD5yJGiK4oJiaGMWPGsHTpUpqamnC73fTs2ZPs7Ox24w3D4Pvf/z7x8fHce++9oXLJf3wzkii8BP3lL3/BZrNx++23dxjz61//mv/5n//hnXfeCatMDoejzcne2NgIEFo5uTMxQnRlSikWL17M7bffHray1vvvv8+qVav405/+xJIlSwAzqaGUYsmSJdx4442hydtb60yrxsbGsDp2phghurrVq1dTXl7OXXfdFVbudDqpra1l3Lhx/PznPwfMxbvGjh3Lddddx/XXX4/D4WhTf6BtPTtTjBBd3cKFC5k0aVKb1Vjnz59PSUkJBw8exOFwEAwGmTFjBrfeeisff/wx0H4dau+e8UwxQnQ1xcXFzJgxgxdeeIG5c+cC5oIjI0eOJC0tjRtuuCFUrzweT1hd+Pp16lzECNEV/ed//idLlixhz549oSTeAw88wLRp0/jiiy/Ceskrpbj77rvZunUr69atC0usy7Xsm5Ghx5egRYsW8d3vfrdNy1Krp556il/+8pesWrWK8ePHh23r3bs3brc7rKykpAQgdBPZmRghurK1a9dSVFTUZthxdHQ0M2bM4IMPPmDFihWsWLGCyspK3G43K1aswOv1kpSURGxsbLt1qLX+dCZGiK5u4cKFXH311eTk5ISV9+7dG4DZs2eHykaPHk1aWho7duwIxZw4cQKPxxOKqayspLm5OexadqYYIbqy4uJi1q5d2+ZaBrB+/XpmzJgRariyWCzMmjWLTz75hGAwCHR8P5iamhr64dSZGCG6mi1btuDz+cJGnQwZMoR+/fqFEu2t17JT64dhGJSWloZdp85FjBBd0fr165k8eXJYT7+bbrqJoqKisOHASinuueceVq9ezdq1a9u9r2zvOqXrOllZWZ2OudxIovASs3nzZgoKCtq96QP4zW9+wxNPPMGqVauYOHFim+3Tp0+nqKgo9GMLzGXFMzMzQ/MQdiZGiK6sozlAr7rqKpYsWRL2Lzc3l2uuuYYlS5YQExODpmlMmzaNN998E6UUYM5J+N5774WGK3cmRoiu7Msvv+S9995r91o2adIkIiMjOXDgQKisqqqKEydOkJGRAcCUKVMwDIOVK1eGYpYuXUpERETo2teZGCG6skWLFpGYmBg2B2irjIwMCgoKwsoKCgpITU3FYrEA5v3gqlWrQsn2YDDIsmXLwq5TnYkRoqtpvRadWocaGhooLS0lPT0dMBu4EhISeOONN0Ixa9asobq6munTp5/TGCG6ooyMjLB7QTDrnK7r9OjRAzCThPfeey8rV65k7dq15Obmtnme6dOn88knn1BRUREqW7p0Kd/61reIjo7udMxl5wIupCK+gR/84Adq4MCB7W5buHChAtT8+fPV3//+99C/r68cecstt6jMzEz1hz/8QT388MPKYrGoZcuWnXWMEF1RdXW1cjqd6vnnn+9UfHurHh88eFC5XC41e/Zs9dxzz6kxY8aonJwcVV9ff1YxQnRVv/71r5XL5VLNzc3tbv/jH/+okpKS1FNPPaVeeOEFNWLECDV06NCw+P/4j/9QcXFx6sknn1RPPPGEioiIUM8880zY83QmRoiuKBgMqoyMDPXwww+3u/2tt95SFotFzZ8/Xy1atEj96Ec/UjabTb344ouhmKqqKpWdna3Gjx+vnnvuOfXtb39bJScnq5KSkrOKEaKrCQaDatKkSSozM1P97ne/Uy+88ILKy8tTGRkZqrKyMhS3aNEiZbPZ1IIFC9Rvf/tb1a1bN3XPPfeEPde5ihGiq9m+fbtyOp1q9uzZauHChepnP/uZiomJUT/5yU9CMY8++qgC1GOPPRaW//j4449DMT6fT+Xl5akhQ4ao//7v/1bf//73VUREhNq6detZxVxuNKW+6s4iLnpKKebPn891113HTTfd1Gb7woULWbNmTZvy5OTksNWBgsEgr7zyChs2bCA6Opo77riD0aNHh+3TmRghuqKNGzfypz/9iRdffLHD4f2neuKJJ0hOTua+++4LKy8pKeHFF1/k2LFj5OTkcP/99xMXF3fWMUJ0RQsWLCA1NZUHHnigw5i1a9eybNky/H4/w4cPZ+7cuW2GMi5fvpx3330XXdeZOXMm06ZNa/M8nYkRoqs5dOgQjz32GL/4xS/o27dvuzH5+fksXbqUY8eOkZKSwqxZs8jLywuLqaqq4vnnn6ewsJDMzEzuvfde0tLSzjpGiK4mEAjwt7/9jW3btuHz+RgwYADz5s1rc++4bt06Xn/9dbxeLxMnTuT2228PLXhyrmOE6Grcbjd//vOfKS4uJj4+nsmTJ4fdx/3qV79qd/XvwYMHs2DBgtDjlpYWXnjhBXbv3k1ycjLz5s1jwIABYft0JuZyIolCIYQQQgghhBBCCCGEzFEohBBCCCGEEEIIIYSQRKEQQgghhBBCCCGEEAJJFAohhBBCCCGEEEIIIZBEoRBCCCGEEEIIIYQQAkkUCiGEEEIIIYQQQgghkEShEEIIIYQQQgghhBACSRQKIYQQQgghhBBCCCGQRKEQQgghhBBCCCGEEAJJFAohhBBCCCGEEEIIIZBEoRBCCCGEEEIIIYQQAkkUCiGEEEIIIYQQQgghkEShEEIIIYQQQgghhBAC+P93lfQaWkHI9wAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1300x460 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rng = np.random.default_rng(0)\n",
    "HOURS = 24 * 365 * 2                                  # two years per catchment: year 1 to train, year 2 to test\n",
    "\n",
    "def simulate_catchment(p, rng):\n",
    "    t = np.arange(HOURS)\n",
    "    season = 1 + 0.6 * np.sin(2 * np.pi * t / (24 * 365))\n",
    "    rain = np.zeros(HOURS)\n",
    "    for s in np.where(rng.random(HOURS) < 0.015 * season)[0]:          # storms: random starts, more in winter\n",
    "        dur = rng.integers(2, 14)\n",
    "        rain[s:s + dur] += rng.gamma(1.4, 7) / dur\n",
    "    S, fast, slow, q = p[\"Smax\"] * 0.4, 0.0, 0.0, np.zeros(HOURS)\n",
    "    pet = 0.06 * (1 + 0.8 * np.sin(2 * np.pi * (t - 24 * 80) / (24 * 365)))   # evaporation, higher in summer\n",
    "    for i in range(HOURS):\n",
    "        runoff = rain[i] * (S / p[\"Smax\"]) ** p[\"b\"]                    # wet soil -> more of the rain runs off\n",
    "        S = max(0.0, min(p[\"Smax\"], S + rain[i] - runoff) - pet[i] * S / p[\"Smax\"])\n",
    "        fast += runoff; slow += 0.004 * S                               # fast surface path, slow groundwater path\n",
    "        out = p[\"kf\"] * fast + p[\"ks\"] * slow\n",
    "        fast -= p[\"kf\"] * fast; slow -= p[\"ks\"] * slow\n",
    "        q[i] = out\n",
    "    k = np.arange(48)\n",
    "    uh = k ** (p[\"shape\"] - 1) * np.exp(-k / p[\"scale\"]); uh /= uh.sum()   # routing delay, unique per catchment\n",
    "    flow = np.convolve(q, uh)[:HOURS]\n",
    "    return rain, flow * (1 + 0.03 * rng.standard_normal(HOURS))       # 3% measurement noise\n",
    "\n",
    "t0 = time.perf_counter()\n",
    "catchments = []\n",
    "for c in range(24):\n",
    "    p = dict(Smax=rng.uniform(40, 220), b=rng.uniform(1.5, 4.5), kf=rng.uniform(0.1, 0.4),\n",
    "             ks=rng.uniform(0.004, 0.02), shape=rng.uniform(1.5, 6), scale=rng.uniform(1.5, 5))\n",
    "    catchments.append(simulate_catchment(p, rng))\n",
    "print(f\"simulated {len(catchments)} catchments x {HOURS:,} hours in {time.perf_counter() - t0:.0f} s\")\n",
    "\n",
    "fig, axes = plt.subplots(2, 1, figsize=(13, 4.6), sharex=True)\n",
    "for ax, c in zip(axes, [0, 5]):\n",
    "    rain, flow = catchments[c]\n",
    "    sl = slice(24 * 300, 24 * 340)\n",
    "    ax.bar(np.arange(sl.start, sl.stop), rain[sl], color=\"#0ea5e9\", width=1, label=\"rain\")\n",
    "    ax2 = ax.twinx(); ax2.plot(np.arange(sl.start, sl.stop), flow[sl], color=\"#4f46e5\", label=\"river flow\")\n",
    "    ax.set_ylabel(\"rain\"); ax2.set_ylabel(\"flow\"); ax.set_title(f\"catchment {c}: similar storms, different responses\")\n",
    "plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "87d7a4c7",
   "metadata": {},
   "source": [
    "Look at how differently the two catchments answer similar storms: the size of the response depends on how\n",
    "wet the soil already was, and the delay and shape of the flood wave depend on the catchment."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "e41ee682",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-18T02:11:11.868530Z",
     "iopub.status.busy": "2026-10-18T02:11:11.868152Z",
     "iopub.status.idle": "2026-10-18T02:11:12.166020Z",
     "shell.execute_reply": "2026-10-18T02:11:12.164523Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train (11880, 72, 2) validation (672, 72, 2) test (8712, 72, 2)\n",
      "Persistence (last flow)            MAE 0.1186  RMSE 0.2649  top-5% flows MAE 0.6219  (0 s)\n"
     ]
    }
   ],
   "source": [
    "L2, H2 = 72, 48\n",
    "def windows(rain, flow, start, end, stride):\n",
    "    X, R, Y = [], [], []\n",
    "    for o in range(max(start, L2), end - H2, stride):\n",
    "        X.append(np.stack([rain[o - L2:o], flow[o - L2:o]], 1)); R.append(rain[o:o + H2]); Y.append(flow[o:o + H2])\n",
    "    return np.array(X, np.float32), np.array(R, np.float32), np.array(Y, np.float32)\n",
    "\n",
    "YEAR = 24 * 365\n",
    "tr = [windows(r, f, 0, YEAR - 24 * 30, 16) for r, f in catchments]             # training, last month held out\n",
    "va = [windows(r, f, YEAR - 24 * 30, YEAR, 24) for r, f in catchments]          # validation for early stopping\n",
    "te = [windows(r, f, YEAR, HOURS, 24) for r, f in catchments]                    # one forecast a day in year 2\n",
    "stack = lambda parts, k: np.concatenate([p[k] for p in parts])\n",
    "Xtr2, Rtr2, Ytr2 = (stack(tr, k) for k in range(3))\n",
    "Xva2, Rva2, Yva2 = (stack(va, k) for k in range(3))\n",
    "Xte2, Rte2, Yte2 = (stack(te, k) for k in range(3))\n",
    "print(\"train\", Xtr2.shape, \"validation\", Xva2.shape, \"test\", Xte2.shape)\n",
    "\n",
    "results2, preds2 = {}, {}\n",
    "def score2(name, pred, seconds):\n",
    "    preds2[name] = pred\n",
    "    results2[name] = {\"MAE\": float(np.mean(np.abs(pred - Yte2))), \"RMSE\": float(np.sqrt(np.mean((pred - Yte2) ** 2))),\n",
    "                      \"peak-hour MAE\": float(np.mean(np.abs(pred - Yte2)[Yte2 > np.quantile(Yte2, 0.95)])), \"seconds\": seconds}\n",
    "    r = results2[name]\n",
    "    print(f\"{name:<34} MAE {r['MAE']:.4f}  RMSE {r['RMSE']:.4f}  top-5% flows MAE {r['peak-hour MAE']:.4f}  ({seconds:.0f} s)\")\n",
    "\n",
    "score2(\"Persistence (last flow)\", np.repeat(Xte2[:, -1:, 1], H2, 1), 0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "228005fa",
   "metadata": {},
   "source": [
    "Seasonal naive, SARIMA and Prophet are left out here on purpose: river flow has no reliable daily or weekly\n",
    "cycle, and its driver (rain) enters through a non-linear, state-dependent response that those models cannot\n",
    "express. Persistence is the honest baseline.\n",
    "\n",
    "### 3.2 Gradient boosting with the best features we can give it\n",
    "The same recipe that won example 1: a table with the recent flow and rain, totals over the window, and the\n",
    "forecast rain for each of the next 48 hours with its running total. One model for all lead times, with the\n",
    "lead time as a feature."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "50812389",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-18T02:11:12.171517Z",
     "iopub.status.busy": "2026-10-18T02:11:12.171032Z",
     "iopub.status.idle": "2026-10-18T02:16:22.783503Z",
     "shell.execute_reply": "2026-10-18T02:16:22.781855Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "XGBoost (engineered features)      MAE 0.0561  RMSE 0.1228  top-5% flows MAE 0.2991  (311 s)\n"
     ]
    }
   ],
   "source": [
    "def table(X, R):\n",
    "    rain, flow = X[:, :, 0], X[:, :, 1]\n",
    "    base = np.concatenate([flow[:, -24:], rain[:, -24:], rain.sum(1, keepdims=True), flow.mean(1, keepdims=True),\n",
    "                           flow.max(1, keepdims=True), R, np.cumsum(R, 1)], 1)\n",
    "    n = len(base)\n",
    "    lead = np.tile(np.arange(H2), n)[:, None]\n",
    "    return np.concatenate([np.repeat(base, H2, 0), lead], 1).astype(np.float32)\n",
    "\n",
    "t0 = time.perf_counter()\n",
    "gbm2 = xgb.XGBRegressor(n_estimators=500, max_depth=8, learning_rate=0.05, subsample=0.5, colsample_bytree=0.8,\n",
    "                        tree_method=\"hist\", n_jobs=4, random_state=0)\n",
    "gbm2.fit(table(Xtr2, Rtr2), Ytr2.reshape(-1))\n",
    "score2(\"XGBoost (engineered features)\", gbm2.predict(table(Xte2, Rte2)).reshape(-1, H2), time.perf_counter() - t0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5fc56e40",
   "metadata": {},
   "source": [
    "### 3.3 Recurrent networks: encoder-decoder GRU (PyTorch) and LSTM (Keras)\n",
    "An **encoder** reads the 72 past hours of rain and flow; its final hidden state is the network's own\n",
    "estimate of the catchment's condition (how wet, how fast it responds). A **decoder** then walks through\n",
    "the 48 forecast hours, reading the forecast rain one hour at a time and updating that state, exactly the way\n",
    "the water moves through the catchment. No features are engineered."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "43b14cbe",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-18T02:16:22.788930Z",
     "iopub.status.busy": "2026-10-18T02:16:22.788330Z",
     "iopub.status.idle": "2026-10-18T02:23:10.526436Z",
     "shell.execute_reply": "2026-10-18T02:23:10.524608Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "GRU encoder-decoder (PyTorch)      MAE 0.0342  RMSE 0.0816  top-5% flows MAE 0.1799  (408 s)\n",
      "   30 epochs\n"
     ]
    }
   ],
   "source": [
    "r_sd, f_sd = Xtr2[:, :, 0].std(), Ytr2.std()\n",
    "def norm(X, R):\n",
    "    return np.concatenate([X[:, :, :1] / r_sd, X[:, :, 1:] / f_sd], 2).astype(np.float32), (R / r_sd)[..., None].astype(np.float32)\n",
    "(Xtr_n, Rtr_n), (Xva_n, Rva_n), (Xte_n, Rte_n) = norm(Xtr2, Rtr2), norm(Xva2, Rva2), norm(Xte2, Rte2)\n",
    "\n",
    "class Seq2SeqGRU(torch.nn.Module):\n",
    "    def __init__(self, hidden=64):\n",
    "        super().__init__()\n",
    "        self.encoder = torch.nn.GRU(2, hidden, batch_first=True)\n",
    "        self.decoder = torch.nn.GRU(1, hidden, batch_first=True)\n",
    "        self.out = torch.nn.Linear(hidden, 1)\n",
    "    def forward(self, x, r):\n",
    "        _, state = self.encoder(x)                 # the learned \"state of the catchment\"\n",
    "        y, _ = self.decoder(r, state)              # carried forward through the forecast rain\n",
    "        return self.out(y).squeeze(-1)\n",
    "\n",
    "torch.manual_seed(0)\n",
    "net = Seq2SeqGRU(); opt = torch.optim.Adam(net.parameters(), lr=2e-3)\n",
    "T = lambda a: torch.tensor(a)\n",
    "xt, rt, yt = T(Xtr_n), T(Rtr_n), T(Ytr2 / f_sd)\n",
    "xv, rv, yv = T(Xva_n), T(Rva_n), T(Yva2 / f_sd)\n",
    "best, best_state, bad, t0 = np.inf, None, 0, time.perf_counter()\n",
    "for ep in range(30):\n",
    "    net.train()\n",
    "    for i in torch.randperm(len(xt)).split(128):\n",
    "        opt.zero_grad(); loss = torch.nn.functional.l1_loss(net(xt[i], rt[i]), yt[i]); loss.backward(); opt.step()\n",
    "    net.eval()\n",
    "    with torch.no_grad():\n",
    "        v = torch.nn.functional.l1_loss(net(xv, rv), yv).item()\n",
    "    if v < best:\n",
    "        best, best_state, bad = v, {k: x.clone() for k, x in net.state_dict().items()}, 0\n",
    "    else:\n",
    "        bad += 1\n",
    "        if bad >= 6:\n",
    "            break\n",
    "net.load_state_dict(best_state); net.eval()\n",
    "with torch.no_grad():\n",
    "    p = net(T(Xte_n), T(Rte_n)).numpy() * f_sd\n",
    "score2(\"GRU encoder-decoder (PyTorch)\", p, time.perf_counter() - t0); print(f\"   {ep + 1} epochs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "d2775c4a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-18T02:23:10.531357Z",
     "iopub.status.busy": "2026-10-18T02:23:10.530996Z",
     "iopub.status.idle": "2026-10-18T02:27:50.822605Z",
     "shell.execute_reply": "2026-10-18T02:27:50.820777Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LSTM encoder-decoder (Keras)       MAE 0.0379  RMSE 0.0915  top-5% flows MAE 0.2097  (280 s)\n",
      "   23 epochs\n"
     ]
    }
   ],
   "source": [
    "tf.keras.utils.set_random_seed(0)\n",
    "enc_in = tf.keras.Input((L2, 2)); dec_in = tf.keras.Input((H2, 1))\n",
    "_, h, c = tf.keras.layers.LSTM(64, return_state=True)(enc_in)\n",
    "dec = tf.keras.layers.LSTM(64, return_sequences=True)(dec_in, initial_state=[h, c])\n",
    "lstm2 = tf.keras.Model([enc_in, dec_in], tf.keras.layers.Dense(1)(dec))\n",
    "lstm2.compile(optimizer=tf.keras.optimizers.Adam(2e-3), loss=\"mae\")\n",
    "t0 = time.perf_counter()\n",
    "h2 = lstm2.fit([Xtr_n, Rtr_n], (Ytr2 / f_sd)[..., None], validation_data=([Xva_n, Rva_n], (Yva2 / f_sd)[..., None]),\n",
    "               epochs=30, batch_size=128, verbose=0,\n",
    "               callbacks=[tf.keras.callbacks.EarlyStopping(patience=6, restore_best_weights=True)])\n",
    "score2(\"LSTM encoder-decoder (Keras)\", lstm2.predict([Xte_n, Rte_n], verbose=0)[..., 0] * f_sd, time.perf_counter() - t0)\n",
    "print(f\"   {len(h2.history['loss'])} epochs\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "49cf59ec",
   "metadata": {},
   "source": [
    "### 3.4 Results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "811b8eb6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-18T02:27:50.827476Z",
     "iopub.status.busy": "2026-10-18T02:27:50.826970Z",
     "iopub.status.idle": "2026-10-18T02:27:51.583078Z",
     "shell.execute_reply": "2026-10-18T02:27:51.581883Z"
    }
   },
   "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>MAE</th>\n",
       "      <th>RMSE</th>\n",
       "      <th>peak-hour MAE</th>\n",
       "      <th>seconds</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>GRU encoder-decoder (PyTorch)</th>\n",
       "      <td>0.0342</td>\n",
       "      <td>0.0816</td>\n",
       "      <td>0.1799</td>\n",
       "      <td>407.6815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LSTM encoder-decoder (Keras)</th>\n",
       "      <td>0.0379</td>\n",
       "      <td>0.0915</td>\n",
       "      <td>0.2097</td>\n",
       "      <td>280.1415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>XGBoost (engineered features)</th>\n",
       "      <td>0.0561</td>\n",
       "      <td>0.1228</td>\n",
       "      <td>0.2991</td>\n",
       "      <td>310.5952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Persistence (last flow)</th>\n",
       "      <td>0.1186</td>\n",
       "      <td>0.2649</td>\n",
       "      <td>0.6219</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                  MAE    RMSE  peak-hour MAE   seconds\n",
       "GRU encoder-decoder (PyTorch)  0.0342  0.0816         0.1799  407.6815\n",
       "LSTM encoder-decoder (Keras)   0.0379  0.0915         0.2097  280.1415\n",
       "XGBoost (engineered features)  0.0561  0.1228         0.2991  310.5952\n",
       "Persistence (last flow)        0.1186  0.2649         0.6219    0.0000"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1300x380 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "table_b = pd.DataFrame(results2).T.sort_values(\"MAE\").round(4)\n",
    "display(table_b)\n",
    "\n",
    "fig, ax = plt.subplots(1, 2, figsize=(13, 3.8))\n",
    "for name in preds2:\n",
    "    ax[0].plot(range(1, H2 + 1), np.mean(np.abs(preds2[name] - Yte2), 0), label=name)\n",
    "ax[0].set_xlabel(\"hours ahead\"); ax[0].set_ylabel(\"MAE\"); ax[0].set_title(\"error by lead time\"); ax[0].legend(fontsize=7)\n",
    "i = int(np.argmax(Rte2.sum(1)))                                   # the forecast window with the most rain\n",
    "ax[1].bar(range(H2), Rte2[i] / Rte2[i].max() * Yte2[i].max() * 0.4, color=\"#bae6fd\", label=\"forecast rain (scaled)\")\n",
    "ax[1].plot(Yte2[i], color=\"black\", lw=2, label=\"actual flow\")\n",
    "for name in [\"XGBoost (engineered features)\", \"GRU encoder-decoder (PyTorch)\"]:\n",
    "    ax[1].plot(preds2[name][i], label=name)\n",
    "ax[1].set_title(\"the wettest forecast window of the test year\"); ax[1].legend(fontsize=7)\n",
    "plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "16b39674",
   "metadata": {},
   "source": [
    "### Why recurrent networks win here\n",
    "The **GRU cuts the error by about 40% compared with XGBoost**, and by a similar margin on the top 5% of\n",
    "flows, the floods a warning service exists for. The LSTM is close behind. The error-by-lead-time chart shows\n",
    "where: the gap opens from the first hour and widens until about 12 hours ahead, as the forecast depends more\n",
    "and more on how the catchment turns future rain into flow, then stays roughly constant.\n",
    "\n",
    "Single storms vary, and the wettest window of the year (right-hand chart) is a hard case for both: XGBoost\n",
    "raises the flow before any rain has fallen, while the GRU gets the timing of the rise roughly right but\n",
    "overestimates the peak. The averages over 8,700 forecasts above are what decide between models; individual\n",
    "storms are where you look for what to improve next.\n",
    "\n",
    "What makes this a neural-network problem:\n",
    "1. **A hidden state.** Flow depends on how wet the soil is, which is never measured and summarises weeks\n",
    "   of history. The encoder's final hidden state is a learned estimate of that condition; a tree sees only the\n",
    "   fixed columns it is given.\n",
    "2. **A smooth, repeated response.** Each hour of forecast rain adds a delayed, catchment-specific pulse of\n",
    "   flow. The decoder applies the same update rule hour by hour (the same weights at every step), so it learns\n",
    "   the response once; a tree must learn separate splits for every combination of rain hour and lead time.\n",
    "3. **Behaviour to infer.** The model is not told which catchment it sees. The recurrent state carries what\n",
    "   it inferred from the history (fast or slow, delayed or immediate) into the forecast.\n",
    "4. **Enough shared data.** 24 catchments train one model, so patterns learned on one help the others.\n",
    "\n",
    "The comparison is fair to XGBoost but not exhaustive: a hydrologist would engineer a soil-moisture feature\n",
    "(an antecedent precipitation index) and narrow the gap; exercise 2 measures how much. The network learns that\n",
    "feature by itself, which is the real advantage when the right features are not known in advance."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "60b388b0",
   "metadata": {},
   "source": [
    "## 4. A decision guide\n",
    "\n",
    "| Your problem looks like... | Start with | Then try |\n",
    "|---|---|---|\n",
    "| one or a few series, stable seasonality, few years of data | seasonal naive, ETS/SARIMA | Prophet if you need explainable components and holidays |\n",
    "| a table of strong drivers known at forecast time (calendar, weather, prices, promotions) | **gradient boosting** (XGBoost, LightGBM) with lag features | a blend of boosting and a linear model |\n",
    "| many related series (thousands of products, sensors, catchments) | a global gradient boosting model | a global RNN or Transformer |\n",
    "| hidden state, long memory, smooth responses to inputs spread over time (hydrology, physiology, energy storage) | **recurrent networks** (GRU/LSTM encoder-decoder) | Transformers, or physics-based features for boosting |\n",
    "| very long histories, lots of data, high frequency | Transformers (PatchTST, TFT) | foundation models (Chronos, TimesFM) as zero-shot baselines |\n",
    "| little data and no time | seasonal naive, then a foundation model zero-shot | |\n",
    "\n",
    "Whatever you choose: split by time, compare against a naive baseline, look at errors by lead time and on\n",
    "the events that matter (peaks, rush hours), and prefer the simplest model that is clearly better.\n",
    "\n",
    "## Exercises\n",
    "1. In example 1, drop the weather columns from XGBoost. How much worse does it get, and does a neural network close the gap?\n",
    "2. In example 2, add an *antecedent precipitation index* (an exponentially weighted sum of past rain, the hydrologist's proxy for soil moisture) to the XGBoost table. How much of the gap to the GRU does one well-chosen feature close?\n",
    "3. Train the example 2 GRU on only 6 catchments and test on the other 18. Does it still beat XGBoost on catchments it has never seen?\n",
    "4. Use `pip install chronos-forecasting` to add a zero-shot foundation model to example 1."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
