diff --git a/Copper Google Trend Analysis Weekly /.DS_Store b/Copper Google Trend Analysis Weekly /.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..aec97ad73faf528af84795a305207f2605a2b374 Binary files /dev/null and b/Copper Google Trend Analysis Weekly /.DS_Store differ diff --git a/Copper Google Trend Analysis Weekly /Copper Price Google Trends Analysis Weekly.ipynb b/Copper Google Trend Analysis Weekly /Copper Price Google Trends Analysis Weekly.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..f5990cfa5425dab3c0fa55003875a8eb4fefaadb --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Copper Price Google Trends Analysis Weekly.ipynb @@ -0,0 +1,2978 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "e51c7cf4", + "metadata": {}, + "source": [ + "## 0. Imports and Initial Setup" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4bef6b22", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/yanzhe0329/Desktop/Copper Weekly/.venv/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + } + ], + "source": [ + "import pathlib, os, warnings, numpy as np, pandas as pd, matplotlib.pyplot as plt\n", + "from typing import List\n", + "from statsmodels.tsa.stattools import adfuller, coint, grangercausalitytests\n", + "from sklearn.model_selection import TimeSeriesSplit, RandomizedSearchCV, KFold\n", + "from sklearn.linear_model import LinearRegression\n", + "from sklearn.svm import SVR\n", + "from sklearn.neural_network import MLPRegressor\n", + "from sklearn.ensemble import (RandomForestRegressor, ExtraTreesRegressor,\n", + " AdaBoostRegressor, GradientBoostingRegressor, StackingRegressor)\n", + "from xgboost import XGBRegressor\n", + "from sklearn.metrics import mean_squared_error, mean_absolute_percentage_error\n", + "from sklearn.inspection import permutation_importance\n", + "from scipy.stats import randint, uniform, loguniform\n", + "import tensorflow as tf\n", + "from tensorflow.keras import layers, models, callbacks\n", + "from IPython.display import display\n", + "import shap, matplotlib.pyplot as plt\n", + "from warnings import warn\n", + "\n", + "warnings.filterwarnings(\"ignore\")\n", + "pd.set_option(\"display.float_format\", \"{:,.4f}\".format)\n", + "\n", + "ROOT = pathlib.Path(\".\")\n", + "RESULTS_DIR, MODEL_DIR = ROOT/\"Statistical Testing Results\", ROOT/\"Model Results\"\n", + "RESULTS_DIR.mkdir(exist_ok=True); MODEL_DIR.mkdir(exist_ok=True)\n", + "\n", + "ALPHA_ADF, ALPHA_COINT, MAX_LAG_GC = 0.10, 0.10, 18\n", + "TIERS_TO_BUILD, LAG_GRID = [0.01, 0.05, 0.10], [1, 2, 3, 6, 12]\n", + "CV_SPLITS, TIER_FOR_PLOT = 5, 0.05 # Fig. 5 uses 5 % tier\n", + "\n", + "HP_SPACE = {\n", + " \"RF\":dict(n_estimators=(200,800), max_depth=(3,18),\n", + " min_samples_leaf=(1,10), min_samples_split=(2,15),\n", + " max_features=(0.3,1.0)),\n", + " \"ET\":dict(n_estimators=(200,800), max_depth=(3,18),\n", + " min_samples_leaf=(1,10), min_samples_split=(2,15),\n", + " max_features=(0.3,1.0)),\n", + " \"AdaBoost\":dict(n_estimators=(50,400), learning_rate=(0.01,1.0)),\n", + " \"GBDT\":dict(n_estimators=(100,600), max_depth=(2,8),\n", + " subsample=(0.4,1.0), learning_rate=(0.01,0.2)),\n", + " \"XGB\":dict(n_estimators=(200,800), max_depth=(2,10),\n", + " subsample=(0.4,1.0), colsample_bytree=(0.4,1.0),\n", + " learning_rate=(0.01,0.2), gamma=(0,5)),\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "5af390b9", + "metadata": {}, + "outputs": [], + "source": [ + "def save_and_show(df: pd.DataFrame, path: pathlib.Path, title: str):\n", + " print(f\"\\n{title}\"); display(df); df.to_csv(path)\n", + "\n", + "def paper_style(df_wide: pd.DataFrame, metric: str) -> pd.DataFrame:\n", + " def safe(k):\n", + " if k in df_wide: return df_wide[k]\n", + " return df_wide.get(k.rstrip(\"0\").rstrip(\".\"), pd.Series(np.nan,index=df_wide.index))\n", + " without, g05, g10 = df_wide[\"without\"], safe(\"0.05\"), safe(\"0.10\")\n", + " cols = pd.MultiIndex.from_tuples([\n", + " (\"Without Google Trends\", metric), (\"Without Google Trends\", \"No.\"),\n", + " (\"p-value ≤ 5%\", metric), (\"p-value ≤ 5%\", \"No.\"),\n", + " (\"p-value ≤ 10%\", metric), (\"p-value ≤ 10%\", \"No.\")\n", + " ])\n", + " out = pd.DataFrame(index=df_wide.index, columns=cols)\n", + " rank = lambda s: s.rank(method=\"min\", ascending=(metric!=\"Dstat\")).astype(\"Int64\")\n", + " out[(\"Without Google Trends\", metric)], out[(\"Without Google Trends\", \"No.\")] = without, rank(without)\n", + " out[(\"p-value ≤ 5%\", metric)], out[(\"p-value ≤ 5%\", \"No.\")] = g05, rank(g05)\n", + " out[(\"p-value ≤ 10%\", metric)], out[(\"p-value ≤ 10%\", \"No.\")] = g10, rank(g10)\n", + " mask = out.columns.get_level_values(1)==metric\n", + " fmt = lambda v,f:\"\" if pd.isna(v) else f.format(v)\n", + " out.loc[:,mask] = out.loc[:,mask].applymap(lambda v:fmt(v,\"{:.2f}%\") if metric==\"MAPE\"\n", + " else fmt(v,\"{:.2f}\"))\n", + " return out" + ] + }, + { + "cell_type": "markdown", + "id": "ce5f3103", + "metadata": {}, + "source": [ + "## 1. Data Loading" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "1454d6d8", + "metadata": {}, + "outputs": [], + "source": [ + "def load_copper():\n", + " df = (pd.read_csv(ROOT / \"Copper Prices.csv\")\n", + " .assign(Date=lambda d: pd.to_datetime(d[\"Date\"]))\n", + " .set_index(\"Date\").asfreq(\"W-SUN\")) # or \"W\" for generic weekly\n", + " return df[\"Price\"].rename(\"Copper_Price\")\n", + "\n", + "def load_trends():\n", + " def one_folder(folder):\n", + " frames = []\n", + " for fp in (ROOT / folder).glob(\"*.csv\"):\n", + " key = fp.stem.replace(\",\", \"\")\n", + " t = pd.read_csv(fp); t.columns = [c.strip() for c in t.columns]\n", + " val = t.columns[1]; t[val] = t[val].replace(\"<1\", 0).astype(float)\n", + " frames.append(t.assign(Date=lambda d: pd.to_datetime(d[t.columns[0]]))\n", + " .set_index(\"Date\").asfreq(\"W-SUN\")\n", + " .rename(columns={val: key}))\n", + " return pd.concat(frames, axis=1) if frames else pd.DataFrame()\n", + " folders = [\"Supply Factors\", \"Demand Factors\", \"Speculative Factors\", \"Sudden Factors\"]\n", + " return pd.concat([one_folder(f) for f in folders], axis=1).sort_index()\n", + "\n", + "copper, trends = load_copper(), load_trends()\n", + "data_raw = pd.concat([copper, trends], axis=1).dropna()\n" + ] + }, + { + "cell_type": "markdown", + "id": "b857df3b", + "metadata": {}, + "source": [ + "## 2. Statistical Testing" + ] + }, + { + "cell_type": "markdown", + "id": "a9afcc2b", + "metadata": {}, + "source": [ + "### 2.1 Cointegration Testing" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "d3a6a815", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Table 4 – ADF test\n" + ] + }, + { + "data": { + "text/html": [ + "
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Level pDiff p
Building construction copper0.00000.0000
US copper production0.00000.0000
Copper mining cost0.00000.0000
Commodity speculation0.00000.0000
Chile copper production0.00000.0000
.........
COVID0.79200.0000
Terrorist attack0.80970.0000
Electronics manufacturing0.87760.0000
China US trade tensions0.99890.0002
Copper tariff1.00000.0000
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" + ], + "text/plain": [ + " Level p Diff p\n", + "Building construction copper 0.0000 0.0000\n", + "US copper production 0.0000 0.0000\n", + "Copper mining cost 0.0000 0.0000\n", + "Commodity speculation 0.0000 0.0000\n", + "Chile copper production 0.0000 0.0000\n", + "... ... ...\n", + "COVID 0.7920 0.0000\n", + "Terrorist attack 0.8097 0.0000\n", + "Electronics manufacturing 0.8776 0.0000\n", + "China US trade tensions 0.9989 0.0002\n", + "Copper tariff 1.0000 0.0000\n", + "\n", + "[98 rows x 2 columns]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Table 5 – Cointegration\n" + ] + }, + { + "data": { + "text/html": [ + "
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tp
Series
Iran Iraq War-2.89430.1375
5G technology-2.81660.1605
Electronics manufacturing-2.79110.1685
Copper ore reserves-2.76750.1762
Currency exchange rates-2.70400.1981
Copper concentrate-2.65450.2164
Middle East conflicts-2.62400.2281
Mining sanctions-2.58740.2420
Yahoo finance-2.57750.2460
RMB exchange rate-2.57580.2467
Energy crisis-2.56180.2525
Scrap copper prices-2.55810.2541
Manufacturing PMI-2.55480.2554
COVID-2.54030.2616
Extreme weather-2.53260.2649
Euro exchange rate-2.52890.2665
Copper tariff-2.52630.2676
China US trade tensions-2.51210.2738
COVID copper-2.51160.2740
Electric vehicle demand-2.47230.2914
Bloomberg-2.39200.3286
Copper price forecast-2.36620.3410
Terrorist attack-2.32570.3608
Trade war-2.30100.3731
Global GDP growth-2.26840.3894
World GDP by country-2.25330.3970
Inflation expectations-2.23040.4087
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" + ], + "text/plain": [ + " t p\n", + "Series \n", + "Iran Iraq War -2.8943 0.1375\n", + "5G technology -2.8166 0.1605\n", + "Electronics manufacturing -2.7911 0.1685\n", + "Copper ore reserves -2.7675 0.1762\n", + "Currency exchange rates -2.7040 0.1981\n", + "Copper concentrate -2.6545 0.2164\n", + "Middle East conflicts -2.6240 0.2281\n", + "Mining sanctions -2.5874 0.2420\n", + "Yahoo finance -2.5775 0.2460\n", + "RMB exchange rate -2.5758 0.2467\n", + "Energy crisis -2.5618 0.2525\n", + "Scrap copper prices -2.5581 0.2541\n", + "Manufacturing PMI -2.5548 0.2554\n", + "COVID -2.5403 0.2616\n", + "Extreme weather -2.5326 0.2649\n", + "Euro exchange rate -2.5289 0.2665\n", + "Copper tariff -2.5263 0.2676\n", + "China US trade tensions -2.5121 0.2738\n", + "COVID copper -2.5116 0.2740\n", + "Electric vehicle demand -2.4723 0.2914\n", + "Bloomberg -2.3920 0.3286\n", + "Copper price forecast -2.3662 0.3410\n", + "Terrorist attack -2.3257 0.3608\n", + "Trade war -2.3010 0.3731\n", + "Global GDP growth -2.2684 0.3894\n", + "World GDP by country -2.2533 0.3970\n", + "Inflation expectations -2.2304 0.4087" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "adf_p = lambda s: adfuller(s.dropna(), autolag=\"AIC\")[1]\n", + "\n", + "# Table 4 – stationarity\n", + "tab4 = pd.DataFrame({\"Level p\": [adf_p(data_raw[c]) for c in data_raw.columns],\n", + " \"Diff p\" : [adf_p(data_raw[c].diff()) for c in data_raw.columns]},\n", + " index=data_raw.columns).sort_values(\"Level p\")\n", + "save_and_show(tab4, RESULTS_DIR/\"Table_4_ADF.csv\", \"Table 4 – ADF test\")\n", + "\n", + "i1 = tab4.index[(tab4[\"Level p\"]>ALPHA_ADF)&(tab4[\"Diff p\"]\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
SeriesLagp
245G technology10.9159
255G technology20.4953
265G technology30.4765
275G technology40.5444
285G technology50.3709
............
211Yahoo finance200.1242
212Yahoo finance210.1664
213Yahoo finance220.2101
214Yahoo finance230.2764
215Yahoo finance240.3186
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\n", + "" + ], + "text/plain": [ + " Series Lag p\n", + "24 5G technology 1 0.9159\n", + "25 5G technology 2 0.4953\n", + "26 5G technology 3 0.4765\n", + "27 5G technology 4 0.5444\n", + "28 5G technology 5 0.3709\n", + ".. ... ... ...\n", + "211 Yahoo finance 20 0.1242\n", + "212 Yahoo finance 21 0.1664\n", + "213 Yahoo finance 22 0.2101\n", + "214 Yahoo finance 23 0.2764\n", + "215 Yahoo finance 24 0.3186\n", + "\n", + "[648 rows x 3 columns]" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Table 6 – full Granger matrix\n", + "gc_rows=[]\n", + "for s in cointegrated:\n", + " for lag in range(1, MAX_LAG_GC+1):\n", + " p=grangercausalitytests(\n", + " np.column_stack([data_raw[\"Copper_Price\"],data_raw[s]]),\n", + " maxlag=lag, verbose=False)[lag][0][\"ssr_ftest\"][1]\n", + " gc_rows.append({\"Series\":s,\"Lag\":lag,\"p\":p})\n", + "df_gc=pd.DataFrame(gc_rows).sort_values([\"Series\",\"Lag\"])\n", + "save_and_show(df_gc, RESULTS_DIR/\"Table_6_Granger.csv\",\n", + "\"Table 6 – Granger causality (all lags)\")" + ] + }, + { + "cell_type": "markdown", + "id": "50fc80e7", + "metadata": {}, + "source": [ + "### 2.3 Feature Selection Results" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "3b94577a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Feature Selection Results:\n", + "\n", + "Features with p < 0.01: 6\n", + "['Copper ore reserves', 'Mining sanctions', 'Extreme weather', 'Euro exchange rate', 'Copper tariff', 'Terrorist attack']\n", + "\n", + "Features with p < 0.05: 12\n", + "['Iran Iraq War', 'Electronics manufacturing', 'Copper ore reserves', 'Mining sanctions', 'Yahoo finance', 'Scrap copper prices', 'Extreme weather', 'Euro exchange rate', 'Copper tariff', 'China US trade tensions', 'Terrorist attack', 'Trade war']\n", + "\n", + "Features with p < 0.10: 13\n", + "['Iran Iraq War', 'Electronics manufacturing', 'Copper ore reserves', 'Middle East conflicts', 'Mining sanctions', 'Yahoo finance', 'Scrap copper prices', 'Extreme weather', 'Euro exchange rate', 'Copper tariff', 'China US trade tensions', 'Terrorist attack', 'Trade war']\n" + ] + } + ], + "source": [ + "# tier dictionary & printed lists\n", + "tiers={a:[s for s in cointegrated if min(\n", + " df_gc.loc[df_gc[\"Series\"]==s,\"p\"])\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Min pBest Lagp<0.01p<0.05p<0.10
Series
Extreme weather0.00077TrueTrueTrue
Terrorist attack0.000815TrueTrueTrue
Euro exchange rate0.00249TrueTrueTrue
Copper tariff0.00406TrueTrueTrue
Copper ore reserves0.004421TrueTrueTrue
Mining sanctions0.005724TrueTrueTrue
Trade war0.01219FalseTrueTrue
Scrap copper prices0.019621FalseTrueTrue
China US trade tensions0.02631FalseTrueTrue
Yahoo finance0.035615FalseTrueTrue
Electronics manufacturing0.03712FalseTrueTrue
Iran Iraq War0.03946FalseTrueTrue
Middle East conflicts0.05808FalseFalseTrue
Copper concentrate0.117415FalseFalseFalse
COVID0.132523FalseFalseFalse
Currency exchange rates0.14201FalseFalseFalse
Global GDP growth0.169416FalseFalseFalse
COVID copper0.170723FalseFalseFalse
Inflation expectations0.27266FalseFalseFalse
RMB exchange rate0.277615FalseFalseFalse
Manufacturing PMI0.35991FalseFalseFalse
Bloomberg0.369817FalseFalseFalse
5G technology0.37095FalseFalseFalse
World GDP by country0.43473FalseFalseFalse
Energy crisis0.56805FalseFalseFalse
Copper price forecast0.75066FalseFalseFalse
Electric vehicle demand0.79062FalseFalseFalse
\n", + "" + ], + "text/plain": [ + " Min p Best Lag p<0.01 p<0.05 p<0.10\n", + "Series \n", + "Extreme weather 0.0007 7 True True True\n", + "Terrorist attack 0.0008 15 True True True\n", + "Euro exchange rate 0.0024 9 True True True\n", + "Copper tariff 0.0040 6 True True True\n", + "Copper ore reserves 0.0044 21 True True True\n", + "Mining sanctions 0.0057 24 True True True\n", + "Trade war 0.0121 9 False True True\n", + "Scrap copper prices 0.0196 21 False True True\n", + "China US trade tensions 0.0263 1 False True True\n", + "Yahoo finance 0.0356 15 False True True\n", + "Electronics manufacturing 0.0371 2 False True True\n", + "Iran Iraq War 0.0394 6 False True True\n", + "Middle East conflicts 0.0580 8 False False True\n", + "Copper concentrate 0.1174 15 False False False\n", + "COVID 0.1325 23 False False False\n", + "Currency exchange rates 0.1420 1 False False False\n", + "Global GDP growth 0.1694 16 False False False\n", + "COVID copper 0.1707 23 False False False\n", + "Inflation expectations 0.2726 6 False False False\n", + "RMB exchange rate 0.2776 15 False False False\n", + "Manufacturing PMI 0.3599 1 False False False\n", + "Bloomberg 0.3698 17 False False False\n", + "5G technology 0.3709 5 False False False\n", + "World GDP by country 0.4347 3 False False False\n", + "Energy crisis 0.5680 5 False False False\n", + "Copper price forecast 0.7506 6 False False False\n", + "Electric vehicle demand 0.7906 2 False False False" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Table 7 – Summary of Granger-causal Google-Trend series\n", + "summary_rows = []\n", + "for series in cointegrated:\n", + " # p-values by lag for this series\n", + " pvals = df_gc.loc[df_gc[\"Series\"] == series, [\"Lag\", \"p\"]]\n", + " best_row = pvals.loc[pvals[\"p\"].idxmin()] # row with min p\n", + " best_lag = int(best_row[\"Lag\"])\n", + " min_p = float(best_row[\"p\"])\n", + "\n", + " summary_rows.append({\n", + " \"Series\" : series,\n", + " \"Min p\" : min_p,\n", + " \"Best Lag\" : best_lag,\n", + " \"p<0.01\" : min_p < 0.01,\n", + " \"p<0.05\" : min_p < 0.05,\n", + " \"p<0.10\" : min_p < 0.10\n", + " })\n", + "\n", + "# build tidy dataframe\n", + "df_summary = (pd.DataFrame(summary_rows)\n", + " .set_index(\"Series\")\n", + " .sort_values(\"Min p\"))\n", + "\n", + "# save & show\n", + "save_and_show(df_summary,\n", + " RESULTS_DIR / \"Table_7_Summary.csv\",\n", + " \"Table 7 – Granger-causal summary\")\n" + ] + }, + { + "cell_type": "markdown", + "id": "797d3e4c", + "metadata": {}, + "source": [ + "## 3. Dataset construction" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "062553f7", + "metadata": {}, + "outputs": [], + "source": [ + "def lag_df(feats: List[str], lag: int):\n", + " out={\"Copper_Price\":data_raw[\"Copper_Price\"]}\n", + " out.update({f\"{f}_lag{lag}\":data_raw[f].shift(lag) for f in feats})\n", + " return pd.DataFrame(out).dropna()\n", + "\n", + "datasets={}\n", + "for a in TIERS_TO_BUILD:\n", + " if tiers[a]:\n", + " key=f\"{a:.2f}\" # keeps 0.10 instead of 0.1\n", + " datasets[key]=max([lag_df(tiers[a],lg) for lg in LAG_GRID], key=len)\n", + "\n", + "# copper-only baseline\n", + "datasets[\"without\"]=pd.concat(\n", + " [data_raw[\"Copper_Price\"],\n", + " data_raw[\"Copper_Price\"].shift(1).rename(\"Copper_Price_lag1\")],\n", + " axis=1).dropna()" + ] + }, + { + "cell_type": "markdown", + "id": "2b94ce19", + "metadata": {}, + "source": [ + "## 4. Model settings" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "afc5a526", + "metadata": {}, + "outputs": [], + "source": [ + "def _rs(model,space,X,y):\n", + " pdist={k:(uniform(lo,hi-lo) if k in (\"max_features\",\"subsample\",\"colsample_bytree\",\"gamma\",\"learning_rate\")\n", + " else loguniform(lo,hi) if k==\"learning_rate\" else randint(lo,hi))\n", + " for k,(lo,hi) in space.items()}\n", + " return RandomizedSearchCV(model,pdist,n_iter=40,\n", + " cv=TimeSeriesSplit(CV_SPLITS),\n", + " scoring=\"neg_root_mean_squared_error\",\n", + " n_jobs=-1,random_state=42).fit(X,y).best_estimator_\n", + "\n", + "def tune_trees(X,y):\n", + " base={\"RF\":RandomForestRegressor(random_state=42),\n", + " \"ET\":ExtraTreesRegressor(random_state=42),\n", + " \"AdaBoost\":AdaBoostRegressor(random_state=42),\n", + " \"GBDT\":GradientBoostingRegressor(random_state=42),\n", + " \"XGB\":XGBRegressor(random_state=42,objective=\"reg:squarederror\")}\n", + " return {n:_rs(cl,HP_SPACE[n],X,y) for n,cl in base.items()}\n", + "\n", + "def tune_others(X,y):\n", + " tuned={\"LR\":LinearRegression().fit(X,y)}\n", + " tuned[\"SVR\"]=RandomizedSearchCV(\n", + " SVR(),{\"C\":loguniform(1e-1,1e3),\"gamma\":loguniform(1e-4,1e-1),\n", + " \"epsilon\":uniform(0,0.2)}, n_iter=30,\n", + " cv=TimeSeriesSplit(CV_SPLITS),\n", + " scoring=\"neg_root_mean_squared_error\", n_jobs=-1,\n", + " random_state=42).fit(X,y).best_estimator_\n", + " tuned[\"MLP\"]=RandomizedSearchCV(\n", + " MLPRegressor(max_iter=1000,random_state=42),\n", + " {\"hidden_layer_sizes\":[(50,),(100,),(50,50)],\n", + " \"alpha\":loguniform(1e-5,1e-1),\n", + " \"learning_rate_init\":loguniform(1e-4,1e-2)},\n", + " n_iter=20, cv=TimeSeriesSplit(CV_SPLITS),\n", + " scoring=\"neg_root_mean_squared_error\").fit(X,y).best_estimator_\n", + " return tuned\n", + "\n", + "def build_seq(cell=\"LSTM\"):\n", + " m=models.Sequential([layers.Input(shape=(1,1)),\n", + " (layers.LSTM if cell==\"LSTM\" else layers.GRU)(32), layers.Dense(1)])\n", + " m.compile(optimizer=\"adam\",loss=\"mse\"); return m\n", + "\n", + "def fit_seq(fun,X,y):\n", + " m=fun()\n", + " m.fit(X.values.reshape(-1,1,1),y.values,\n", + " epochs=100,verbose=0,\n", + " callbacks=[callbacks.EarlyStopping(patience=10,restore_best_weights=True)])\n", + " return m\n", + "\n", + "def stack_one(name, est):\n", + " return StackingRegressor([(name,est)],LinearRegression(),\n", + " cv=KFold(CV_SPLITS,shuffle=False),passthrough=True,n_jobs=-1)\n", + "\n", + "def stack_combo(tree_dict):\n", + " return StackingRegressor(list(tree_dict.items()),LinearRegression(),\n", + " cv=KFold(CV_SPLITS,shuffle=False),passthrough=True,n_jobs=-1)\n" + ] + }, + { + "cell_type": "markdown", + "id": "9ab9ed3e", + "metadata": {}, + "source": [ + "## 5. Model Training & evaluation" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "6976b88e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 48ms/step\n", + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 53ms/step\n", + "WARNING:tensorflow:5 out of the last 5 calls to .one_step_on_data_distributed at 0x169b731a0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details.\n", + "\u001b[1m1/2\u001b[0m \u001b[32m━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 45ms/stepWARNING:tensorflow:6 out of the last 6 calls to .one_step_on_data_distributed at 0x169b731a0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details.\n", + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 47ms/step\n", + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 54ms/step\n", + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 50ms/step\n", + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 56ms/step\n", + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 52ms/step\n", + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 56ms/step\n", + "\n", + "Table 8 – RMSE\n" + ] + }, + { + "data": { + "text/html": [ + "
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Without Google Trendsp-value ≤ 5%p-value ≤ 10%
RMSENo.RMSENo.RMSENo.
Model
RF0.21110.5240.533
ET0.21120.5860.596
AdaBoost0.20100.4820.502
GBDT0.21130.4610.481
XGB0.22140.6280.628
LR0.1731.17151.2015
SVR0.1880.6270.585
MLP0.1891.80161.4616
RF_LR0.1711.07141.1014
ET_LR0.1770.93101.0012
AdaBoost_LR0.1760.8990.9410
GBDT_LR0.1741.04131.0813
XGB_LR0.1750.94110.9411
ET_AdaBoost_GBDT_Xgboost_RF_LR0.1721.02120.929
LSTM0.26150.5030.544
GRU0.33160.5750.597
\n", + "
" + ], + "text/plain": [ + " Without Google Trends p-value ≤ 5% \\\n", + " RMSE No. RMSE No. \n", + "Model \n", + "RF 0.21 11 0.52 4 \n", + "ET 0.21 12 0.58 6 \n", + "AdaBoost 0.20 10 0.48 2 \n", + "GBDT 0.21 13 0.46 1 \n", + "XGB 0.22 14 0.62 8 \n", + "LR 0.17 3 1.17 15 \n", + "SVR 0.18 8 0.62 7 \n", + "MLP 0.18 9 1.80 16 \n", + "RF_LR 0.17 1 1.07 14 \n", + "ET_LR 0.17 7 0.93 10 \n", + "AdaBoost_LR 0.17 6 0.89 9 \n", + "GBDT_LR 0.17 4 1.04 13 \n", + "XGB_LR 0.17 5 0.94 11 \n", + "ET_AdaBoost_GBDT_Xgboost_RF_LR 0.17 2 1.02 12 \n", + "LSTM 0.26 15 0.50 3 \n", + "GRU 0.33 16 0.57 5 \n", + "\n", + " p-value ≤ 10% \n", + " RMSE No. \n", + "Model \n", + "RF 0.53 3 \n", + "ET 0.59 6 \n", + "AdaBoost 0.50 2 \n", + "GBDT 0.48 1 \n", + "XGB 0.62 8 \n", + "LR 1.20 15 \n", + "SVR 0.58 5 \n", + "MLP 1.46 16 \n", + "RF_LR 1.10 14 \n", + "ET_LR 1.00 12 \n", + "AdaBoost_LR 0.94 10 \n", + "GBDT_LR 1.08 13 \n", + "XGB_LR 0.94 11 \n", + "ET_AdaBoost_GBDT_Xgboost_RF_LR 0.92 9 \n", + "LSTM 0.54 4 \n", + "GRU 0.59 7 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Table 9 – MAPE\n" + ] + }, + { + "data": { + "text/html": [ + "
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Without Google Trendsp-value ≤ 5%p-value ≤ 10%
MAPENo.MAPENo.MAPENo.
Model
RF3.39%119.38%49.51%4
ET3.42%1210.66%610.80%7
AdaBoost3.30%108.44%28.74%1
GBDT3.56%138.19%18.98%2
XGB3.62%1411.72%811.72%8
LR2.66%516.43%1516.83%15
SVR2.86%811.30%710.28%6
MLP2.87%925.00%1622.34%16
RF_LR2.66%614.41%1214.62%13
ET_LR2.65%113.06%913.45%9
AdaBoost_LR2.66%413.75%1113.94%10
GBDT_LR2.66%315.59%1415.31%14
XGB_LR2.65%213.69%1013.94%11
ET_AdaBoost_GBDT_Xgboost_RF_LR2.73%714.94%1314.17%12
LSTM4.44%158.90%39.43%3
GRU5.86%1610.08%510.15%5
\n", + "
" + ], + "text/plain": [ + " Without Google Trends p-value ≤ 5% \\\n", + " MAPE No. MAPE No. \n", + "Model \n", + "RF 3.39% 11 9.38% 4 \n", + "ET 3.42% 12 10.66% 6 \n", + "AdaBoost 3.30% 10 8.44% 2 \n", + "GBDT 3.56% 13 8.19% 1 \n", + "XGB 3.62% 14 11.72% 8 \n", + "LR 2.66% 5 16.43% 15 \n", + "SVR 2.86% 8 11.30% 7 \n", + "MLP 2.87% 9 25.00% 16 \n", + "RF_LR 2.66% 6 14.41% 12 \n", + "ET_LR 2.65% 1 13.06% 9 \n", + "AdaBoost_LR 2.66% 4 13.75% 11 \n", + "GBDT_LR 2.66% 3 15.59% 14 \n", + "XGB_LR 2.65% 2 13.69% 10 \n", + "ET_AdaBoost_GBDT_Xgboost_RF_LR 2.73% 7 14.94% 13 \n", + "LSTM 4.44% 15 8.90% 3 \n", + "GRU 5.86% 16 10.08% 5 \n", + "\n", + " p-value ≤ 10% \n", + " MAPE No. \n", + "Model \n", + "RF 9.51% 4 \n", + "ET 10.80% 7 \n", + "AdaBoost 8.74% 1 \n", + "GBDT 8.98% 2 \n", + "XGB 11.72% 8 \n", + "LR 16.83% 15 \n", + "SVR 10.28% 6 \n", + "MLP 22.34% 16 \n", + "RF_LR 14.62% 13 \n", + "ET_LR 13.45% 9 \n", + "AdaBoost_LR 13.94% 10 \n", + "GBDT_LR 15.31% 14 \n", + "XGB_LR 13.94% 11 \n", + "ET_AdaBoost_GBDT_Xgboost_RF_LR 14.17% 12 \n", + "LSTM 9.43% 3 \n", + "GRU 10.15% 5 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Table 10 – Dstat\n" + ] + }, + { + "data": { + "text/html": [ + "
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Without Google Trendsp-value ≤ 5%p-value ≤ 10%
DstatNo.DstatNo.DstatNo.
Model
RF0.41140.4840.574
ET0.5010.5020.574
AdaBoost0.39150.4840.527
GBDT0.43130.4580.574
XGB0.32160.07160.0716
LR0.5010.5020.509
SVR0.5010.25150.509
MLP0.5010.4580.4811
RF_LR0.5010.4580.527
ET_LR0.5010.5210.593
AdaBoost_LR0.5010.4580.4512
GBDT_LR0.5010.4580.4313
XGB_LR0.5010.4840.612
ET_AdaBoost_GBDT_Xgboost_RF_LR0.5010.4840.681
LSTM0.5010.32130.2715
GRU0.5010.32130.3014
\n", + "
" + ], + "text/plain": [ + " Without Google Trends p-value ≤ 5% \\\n", + " Dstat No. Dstat No. \n", + "Model \n", + "RF 0.41 14 0.48 4 \n", + "ET 0.50 1 0.50 2 \n", + "AdaBoost 0.39 15 0.48 4 \n", + "GBDT 0.43 13 0.45 8 \n", + "XGB 0.32 16 0.07 16 \n", + "LR 0.50 1 0.50 2 \n", + "SVR 0.50 1 0.25 15 \n", + "MLP 0.50 1 0.45 8 \n", + "RF_LR 0.50 1 0.45 8 \n", + "ET_LR 0.50 1 0.52 1 \n", + "AdaBoost_LR 0.50 1 0.45 8 \n", + "GBDT_LR 0.50 1 0.45 8 \n", + "XGB_LR 0.50 1 0.48 4 \n", + "ET_AdaBoost_GBDT_Xgboost_RF_LR 0.50 1 0.48 4 \n", + "LSTM 0.50 1 0.32 13 \n", + "GRU 0.50 1 0.32 13 \n", + "\n", + " p-value ≤ 10% \n", + " Dstat No. \n", + "Model \n", + "RF 0.57 4 \n", + "ET 0.57 4 \n", + "AdaBoost 0.52 7 \n", + "GBDT 0.57 4 \n", + "XGB 0.07 16 \n", + "LR 0.50 9 \n", + "SVR 0.50 9 \n", + "MLP 0.48 11 \n", + "RF_LR 0.52 7 \n", + "ET_LR 0.59 3 \n", + "AdaBoost_LR 0.45 12 \n", + "GBDT_LR 0.43 13 \n", + "XGB_LR 0.61 2 \n", + "ET_AdaBoost_GBDT_Xgboost_RF_LR 0.68 1 \n", + "LSTM 0.27 15 \n", + "GRU 0.30 14 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Table 11 – combined\n" + ] + }, + { + "data": { + "text/html": [ + "
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Dataset0.010.050.10without
ModelCriterion
AdaBoostDstat0.390.480.520.39
MAPE8.33%8.44%8.74%3.30%
RMSE0.490.480.500.20
AdaBoost_LRDstat0.500.450.450.50
MAPE13.46%13.75%13.94%2.66%
RMSE0.820.890.940.17
ETDstat0.390.500.570.50
MAPE11.79%10.66%10.80%3.42%
RMSE0.630.580.590.21
ET_AdaBoost_GBDT_Xgboost_RF_LRDstat0.410.480.680.50
MAPE11.73%14.94%14.17%2.73%
RMSE0.751.020.920.17
ET_LRDstat0.430.520.590.50
MAPE10.58%13.06%13.45%2.65%
RMSE0.630.931.000.17
GBDTDstat0.410.450.570.43
MAPE8.26%8.19%8.98%3.56%
RMSE0.460.460.480.21
GBDT_LRDstat0.450.450.430.50
MAPE14.96%15.59%15.31%2.66%
RMSE0.961.041.080.17
GRUDstat0.000.320.300.50
MAPE12.34%10.08%10.15%5.86%
RMSE0.700.570.590.33
LRDstat0.430.500.500.50
MAPE11.39%16.43%16.83%2.66%
RMSE0.671.171.200.17
LSTMDstat0.020.320.270.50
MAPE11.87%8.90%9.43%4.44%
RMSE0.630.500.540.26
MLPDstat0.590.450.480.50
MAPE31.59%25.00%22.34%2.87%
RMSE2.291.801.460.18
RFDstat0.570.480.570.41
MAPE10.53%9.38%9.51%3.39%
RMSE0.580.520.530.21
RF_LRDstat0.410.450.520.50
MAPE11.89%14.41%14.62%2.66%
RMSE0.711.071.100.17
SVRDstat0.570.250.500.50
MAPE9.75%11.30%10.28%2.86%
RMSE0.560.620.580.18
XGBDstat0.000.070.070.32
MAPE11.87%11.72%11.72%3.62%
RMSE0.630.620.620.22
XGB_LRDstat0.430.480.610.50
MAPE10.89%13.69%13.94%2.65%
RMSE0.650.940.940.17
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" + ], + "text/plain": [ + "Dataset 0.01 0.05 0.10 without\n", + "Model Criterion \n", + "AdaBoost Dstat 0.39 0.48 0.52 0.39\n", + " MAPE 8.33% 8.44% 8.74% 3.30%\n", + " RMSE 0.49 0.48 0.50 0.20\n", + "AdaBoost_LR Dstat 0.50 0.45 0.45 0.50\n", + " MAPE 13.46% 13.75% 13.94% 2.66%\n", + " RMSE 0.82 0.89 0.94 0.17\n", + "ET Dstat 0.39 0.50 0.57 0.50\n", + " MAPE 11.79% 10.66% 10.80% 3.42%\n", + " RMSE 0.63 0.58 0.59 0.21\n", + "ET_AdaBoost_GBDT_Xgboost_RF_LR Dstat 0.41 0.48 0.68 0.50\n", + " MAPE 11.73% 14.94% 14.17% 2.73%\n", + " RMSE 0.75 1.02 0.92 0.17\n", + "ET_LR Dstat 0.43 0.52 0.59 0.50\n", + " MAPE 10.58% 13.06% 13.45% 2.65%\n", + " RMSE 0.63 0.93 1.00 0.17\n", + "GBDT Dstat 0.41 0.45 0.57 0.43\n", + " MAPE 8.26% 8.19% 8.98% 3.56%\n", + " RMSE 0.46 0.46 0.48 0.21\n", + "GBDT_LR Dstat 0.45 0.45 0.43 0.50\n", + " MAPE 14.96% 15.59% 15.31% 2.66%\n", + " RMSE 0.96 1.04 1.08 0.17\n", + "GRU Dstat 0.00 0.32 0.30 0.50\n", + " MAPE 12.34% 10.08% 10.15% 5.86%\n", + " RMSE 0.70 0.57 0.59 0.33\n", + "LR Dstat 0.43 0.50 0.50 0.50\n", + " MAPE 11.39% 16.43% 16.83% 2.66%\n", + " RMSE 0.67 1.17 1.20 0.17\n", + "LSTM Dstat 0.02 0.32 0.27 0.50\n", + " MAPE 11.87% 8.90% 9.43% 4.44%\n", + " RMSE 0.63 0.50 0.54 0.26\n", + "MLP Dstat 0.59 0.45 0.48 0.50\n", + " MAPE 31.59% 25.00% 22.34% 2.87%\n", + " RMSE 2.29 1.80 1.46 0.18\n", + "RF Dstat 0.57 0.48 0.57 0.41\n", + " MAPE 10.53% 9.38% 9.51% 3.39%\n", + " RMSE 0.58 0.52 0.53 0.21\n", + "RF_LR Dstat 0.41 0.45 0.52 0.50\n", + " MAPE 11.89% 14.41% 14.62% 2.66%\n", + " RMSE 0.71 1.07 1.10 0.17\n", + "SVR Dstat 0.57 0.25 0.50 0.50\n", + " MAPE 9.75% 11.30% 10.28% 2.86%\n", + " RMSE 0.56 0.62 0.58 0.18\n", + "XGB Dstat 0.00 0.07 0.07 0.32\n", + " MAPE 11.87% 11.72% 11.72% 3.62%\n", + " RMSE 0.63 0.62 0.62 0.22\n", + "XGB_LR Dstat 0.43 0.48 0.61 0.50\n", + " MAPE 10.89% 13.69% 13.94% 2.65%\n", + " RMSE 0.65 0.94 0.94 0.17" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Table 12 – IR_Dstat (%)\n" + ] + }, + { + "data": { + "text/html": [ + "
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Tier0.01000.0500
Model
AdaBoost0.00%23.53%
AdaBoost_LR0.00%-9.09%
ET-22.73%0.00%
ET_AdaBoost_GBDT_Xgboost_RF_LR-18.18%-4.55%
ET_LR-13.64%4.55%
GBDT-5.26%5.26%
GBDT_LR-9.09%-9.09%
GRU-100.00%-36.36%
LR-13.64%0.00%
LSTM-95.45%-36.36%
MLP18.18%-9.09%
RF38.89%16.67%
RF_LR-18.18%-9.09%
SVR13.64%-50.00%
XGB-100.00%-78.57%
XGB_LR-13.64%-4.55%
\n", + "
" + ], + "text/plain": [ + "Tier 0.0100 0.0500\n", + "Model \n", + "AdaBoost 0.00% 23.53%\n", + "AdaBoost_LR 0.00% -9.09%\n", + "ET -22.73% 0.00%\n", + "ET_AdaBoost_GBDT_Xgboost_RF_LR -18.18% -4.55%\n", + "ET_LR -13.64% 4.55%\n", + "GBDT -5.26% 5.26%\n", + "GBDT_LR -9.09% -9.09%\n", + "GRU -100.00% -36.36%\n", + "LR -13.64% 0.00%\n", + "LSTM -95.45% -36.36%\n", + "MLP 18.18% -9.09%\n", + "RF 38.89% 16.67%\n", + "RF_LR -18.18% -9.09%\n", + "SVR 13.64% -50.00%\n", + "XGB -100.00% -78.57%\n", + "XGB_LR -13.64% -4.55%" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "results, preds, banks = {}, {}, {} # banks keeps (bank,X_te,y_te) per tier\n", + "for key, df in datasets.items():\n", + " X,y=df.drop(columns=\"Copper_Price\"),df[\"Copper_Price\"]\n", + " cut=int(len(X)*0.83)\n", + " X_tr,X_te,y_tr,y_te = X.iloc[:cut],X.iloc[cut:],y.iloc[:cut],y.iloc[cut:]\n", + "\n", + " trees, others = tune_trees(X_tr,y_tr), tune_others(X_tr,y_tr)\n", + " seq_col=\"Copper_Price_lag1\" if \"Copper_Price_lag1\" in X_tr else X_tr.columns[0]\n", + " lstm=fit_seq(lambda:build_seq(\"LSTM\"),X_tr[seq_col].to_frame(),y_tr)\n", + " gru =fit_seq(lambda:build_seq(\"GRU\" ),X_tr[seq_col].to_frame(),y_tr)\n", + " seq_wrap={\"LSTM\":lambda Xf:lstm.predict(Xf[seq_col].to_frame()\n", + " .values.reshape(-1,1,1)).ravel(),\n", + " \"GRU\" :lambda Xf: gru.predict(Xf[seq_col].to_frame()\n", + " .values.reshape(-1,1,1)).ravel()}\n", + " stacks={f\"{n}_LR\":stack_one(n,e).fit(X_tr,y_tr) for n,e in trees.items()}\n", + " combo=stack_combo(trees).fit(X_tr,y_tr)\n", + " bank={**trees,**others,**stacks,\n", + " \"ET_AdaBoost_GBDT_Xgboost_RF_LR\":combo,**seq_wrap}\n", + " banks[key]=(bank,X_te,y_te) # store for later importance plot\n", + "\n", + " rows,pred_col=[],{}\n", + " for n,mdl in bank.items():\n", + " pred=mdl(X_te) if callable(mdl) else mdl.predict(X_te)\n", + " rows.append(dict(Model=n,\n", + " RMSE=np.sqrt(mean_squared_error(y_te,pred)),\n", + " MAPE=mean_absolute_percentage_error(y_te,pred)*100,\n", + " Dstat=np.mean((np.diff(y_te)*np.diff(pred))>0)))\n", + " pred_col[n]=pd.Series(pred,index=y_te.index)\n", + " results[key]=pd.DataFrame(rows).set_index(\"Model\")\n", + " preds[key]=pd.DataFrame(pred_col)\n", + "\n", + "# Tables 8-10\n", + "save_and_show(paper_style(pd.concat({k:d[\"RMSE\"] for k,d in results.items()},axis=1),\"RMSE\"),\n", + " MODEL_DIR/\"Table_8_RMSE.csv\",\"Table 8 – RMSE\")\n", + "save_and_show(paper_style(pd.concat({k:d[\"MAPE\"] for k,d in results.items()},axis=1),\"MAPE\"),\n", + " MODEL_DIR/\"Table_9_MAPE.csv\",\"Table 9 – MAPE\")\n", + "save_and_show(paper_style(pd.concat({k:d[\"Dstat\"]for k,d in results.items()},axis=1),\"Dstat\"),\n", + " MODEL_DIR/\"Table_10_Dstat.csv\",\"Table 10 – Dstat\")\n", + "\n", + "# Table 11\n", + "rec=[]\n", + "for d,df in results.items():\n", + " for m,row in df.iterrows():\n", + " for c in (\"RMSE\",\"MAPE\",\"Dstat\"):\n", + " rec.append(dict(Model=m,Criterion=c,Dataset=d,Value=row[c]))\n", + "tbl11=pd.DataFrame(rec).pivot_table(index=[\"Model\",\"Criterion\"],\n", + " columns=\"Dataset\",values=\"Value\")\n", + "for c,f in {\"RMSE\":\"{:.2f}\",\"MAPE\":\"{:.2f}%\",\"Dstat\":\"{:.2f}\"}.items():\n", + " tbl11.loc[(slice(None),c),:]=tbl11.loc[(slice(None),c),:].applymap(lambda x:f.format(x))\n", + "save_and_show(tbl11, MODEL_DIR/\"Table_11_Comparison.csv\",\"Table 11 – combined\")\n", + "\n", + "# Table 12 (only IR_Dstat)\n", + "if \"without\" in results:\n", + " base=results[\"without\"]\n", + " rows=[]\n", + " for t in TIERS_TO_BUILD:\n", + " k=str(t)\n", + " if k not in results: continue\n", + " comp=results[k]\n", + " for mdl in comp.index.intersection(base.index):\n", + " b,c=base.loc[mdl,\"Dstat\"],comp.loc[mdl,\"Dstat\"]\n", + " rows.append(dict(Model=mdl,Tier=t,IR_Dstat=(c-b)/b*100))\n", + " tbl12=pd.DataFrame(rows).pivot(index=\"Model\",columns=\"Tier\",values=\"IR_Dstat\")\\\n", + " .applymap(\"{:.2f}%\".format).sort_index(axis=1)\n", + " save_and_show(tbl12, MODEL_DIR/\"Table_12_ImprovementRates.csv\",\n", + " \"Table 12 – IR_Dstat (%)\")\n" + ] + }, + { + "cell_type": "markdown", + "id": "2aa94a89", + "metadata": {}, + "source": [ + "## 6. Feature importance" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "78c02701", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "🏆 Best model = ET_AdaBoost_GBDT_Xgboost_RF_LR (tier 0.10) Dstat = 0.6818\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# ────────────────────────────────────────────────────────────────\n", + "# 1. Pick the (tier, model) pair with the highest Dstat overall\n", + "# ────────────────────────────────────────────────────────────────\n", + "best_tier, best_model, best_val = None, None, -np.inf\n", + "for tier, df in results.items(): # 'without', '0.05', '0.10'\n", + " mdl = df['Dstat'].idxmax()\n", + " val = df.loc[mdl, 'Dstat']\n", + " if val > best_val:\n", + " best_tier, best_model, best_val = tier, mdl, val\n", + "\n", + "print(f\"\\n🏆 Best model = {best_model} (tier {best_tier}) \"\n", + " f\"Dstat = {best_val:.4f}\")\n", + "\n", + "# ────────────────────────────────────────────────────────────────\n", + "# 2. SHAP global feature importance (skip AdaBoost; TreeSHAP only)\n", + "# ────────────────────────────────────────────────────────────────\n", + "bank, X_te, y_te = banks[best_tier]\n", + "X_sample = X_te.sample(n=min(1500, len(X_te)), random_state=42)\n", + "\n", + "tree_names = ['RF', 'ET', 'GBDT', 'XGB'] # AdaBoost unsupported\n", + "shap_vals = []\n", + "\n", + "for name in tree_names:\n", + " try:\n", + " explainer = shap.TreeExplainer(bank[name],\n", + " feature_perturbation=\"tree_path_dependent\")\n", + " phi = explainer.shap_values(X_sample) # (n_rows, n_feats)\n", + " shap_vals.append(np.abs(phi).mean(0))\n", + " except Exception as e:\n", + " warn(f\"SHAP failed for {name}: {e}\")\n", + "\n", + "if not shap_vals:\n", + " raise RuntimeError(\"No SHAP values could be computed.\")\n", + "\n", + "shap_global = (pd.DataFrame(shap_vals,\n", + " columns=X_te.columns,\n", + " index=tree_names)\n", + " .mean(axis=0)\n", + " .sort_values(ascending=False))\n", + "\n", + "topN = 15\n", + "top_shap = shap_global.head(topN)\\\n", + " .rename(lambda s: s.replace('_lag1','')\n", + " .replace('_lag',''))\n", + "\n", + "ax = top_shap.plot.barh(figsize=(8,6), color='indianred')\n", + "ax.invert_yaxis()\n", + "ax.set_title(f\"{best_model} – SHAP mean(|ϕ|) (tier {best_tier})\")\n", + "ax.set_xlabel(\"Mean |SHAP value| (↑ more influence)\")\n", + "plt.tight_layout()\n", + "plt.savefig(MODEL_DIR / f\"Fig_SHAP_importance_tier{best_tier}.png\", dpi=120)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "1298d37b", + "metadata": {}, + "source": [ + "## 7. Result Visualization" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "5740cae0", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# ────────────────────────────────────────────────────────────────\n", + "# 3. Figure 4 – Copper price vs. GT series for this tier\n", + "# ────────────────────────────────────────────────────────────────\n", + "if best_tier != 'without' and tiers[float(best_tier)]:\n", + " gt = tiers[float(best_tier)][:6]\n", + " half = max(1, len(gt)//2)\n", + " fig, axs = plt.subplots(2, 1, figsize=(14,10), sharex=True)\n", + " for ax, sub in zip(axs, (gt[:half], gt[half:])):\n", + " ax.plot(data_raw.index, data_raw['Copper_Price'], lw=2, color='navy')\n", + " axr = ax.twinx()\n", + " for g in sub:\n", + " axr.plot(data_raw.index, data_raw[g], '--', lw=1.5, label=g)\n", + " axr.legend(loc='upper left', bbox_to_anchor=(1.02,1))\n", + " axs[0].set_title(\"(a) Copper price & first GT subset\")\n", + " axs[1].set_title(\"(b) Copper price & remaining GT subset\")\n", + " plt.tight_layout()\n", + " plt.savefig(MODEL_DIR / f\"Fig4_Copper_vs_GTrends_tier{best_tier}.png\", dpi=120)\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "ce35f2ab", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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iCg8PP+g4X331Vddhhx3mMhgMroiICNeIESNcc+fOdeXn5x9yfnfffbdr9OjRrqioKJdGo3FlZma6rrnmGldhYaGrq3g+syeffPKQx+3atct19tlnu6Kjo116vd41YcIE16JFixod88svv8hzffLJJ82eY926da6zzjrLFRcXJ78Xffr0cZ177rmun376qdFxOTk5rosvvtiVkJAgj+vXr5/ruuuuc1ksFvm62Wx2/fOf/3SlpKTIz3jy5MmuVatWuY466ij58Pj3v//tmjp1qvd6/fv3d91+++2uqqqqRtd76KGHXGlpaS6lUinHLz4TMabTTz/dlZqa6tJqtfLr+eef79q+fXuLn6kYZ3x8vDyvP7vd7rrhhhvkvBQKhbyWh9i+//77Gx1fVFQk552RkSH/PCQnJ7uOOeYY+eertZ/5wXz++efyz5r4XNLT01333HOPy2q1NvvfW9P/nsRnLPY39xDj8bdv3z755yYyMtJlNBpdp5xyimvHjh0HjOe7776T72/uNSIiIqJgpxD/E+jgmIiIiCgUiFvdRe/QxYsXB3ooFIJEiwxRoSqqrA+2aBn5iLYYosJdVPcSERER9TTsaUtERETURuK2a9FP1t+SJUvw119/Ydq0aQEbF4W2W265Rbbf+OijjwI9lKAn2laIViTN9YImIiIi6glYaUtERETURnv37pWLcV144YVyYTKxsNIrr7wie8aKXp5xcXGBHiIREREREfVgXIiMiIiIqI1iYmLkAlBiIaySkhKEh4fLhZHEQk8MbImIiIiIqKNYaUtEREREREREREQURNjTloiIiIiIiIiIiCiIMLQlIiIiIiIiIiIi6s09bZ1OJ/Lz8xEREQGFQtHdlyciIiIiIiIiIiIKCNGptqamRi5orFQqgye0FYFtRkZGd1+WiIiIiIiIiIiIKCjs27cP6enpwRPaigpbz8AiIyO7+/JEREREREREREREAVFdXS0LWj0ZadCEtp6WCCKwZWhLREREREREREREvY2ihbaxXIiMiIiIiIiIiIiIKIgwtCUiIiIiIiIiIiIKIgxtiYiIiIiIiIiIiIIIQ1siIiIiIiIiIiKiIMLQloiIiIiIiIiIiCiIMLQlIiIiIiIiIiIiCiIMbYmIiIiIiIiIiIiCCENbIiIiIiIiIiIioiDC0JaIiIiIiIiIiIgoiDC0JSIiIiIiIiIiIgoiDG2JiIiIiIiIiIiIgghDWyIiIiIiIiIiIqIgwtCWiIiIiIiIiIiIKIgwtCUiIiIiIiIiIiIKIgxtiYiIiIiIiIiIiIIIQ1siIiIiIiIiIiKiIMLQlpqlUCjwxRdfBHoYREREREREREREvQ5D2yCwatUqqFQqzJgxo03v69u3L5599tkuGxcRERERERERERF1P4a2QeCNN97ADTfcgKVLlyI/Pz/QwyEiIiIiIiIiIqIAYmgbYLW1tfjPf/6Da665RlbaLly4sNHrX3/9NcaPHw+9Xo/4+HiceeaZcv+0adOQk5ODW265RbYyEA/hgQcewOjRoxudQ1TjiqpcjzVr1uC4446T54uKisJRRx2FP//8s1vmS0RERERERERERIfG0DbAPv74YwwePBiDBg3ChRdeiDfffBMul0u+9s0338iQ9uSTT8a6devw008/YcKECfK1zz77DOnp6Zg/fz4KCgrko7VqampwySWXYPny5fjtt98wYMAAeQ2xn4iIiIiIiIiIiAJLjRB16vPLUVJj6dZrJkTo8PUNU9rcGkGEtcKJJ56Iqqoq/Prrr7KS9pFHHsF5552HBx980Hv8qFGj5NfY2FjZBzciIgLJycltuubRRx/d6Pmrr76K6Ohoed1TTjmlTeciIiIiIiIiIiKizhWyoa0IbAurzQhm27Ztw+rVq/H555/L52q1GrNmzZJBrght169fjyuuuKLTr1tUVIR77rkHS5YsQXFxMRwOB+rr65Gbm9vp1yIiIiIiIiIiIqK2CdnQVlS9Bvs1RThrt9uRmprq3SdaI+h0OrzwwgswGAxtHoNSqfS2V/Cw2WyNnovWCGVlZXjuuefQp08feb2JEyfCarW2+XpERERERERERETUuUI2tG1rm4LuJsLad955B0899RSOP/74Rq+dccYZ+PDDDzFy5EjZx/bSSy9t9hxarVZWyfpLSEhAYWGhDG49i5OJil1/K1aswEsvvST72Ar79u1DaWlpJ8+QiIiIiIiIiIh6ClupCTVL9sEwOBaG4fGBHk6vF7KhbbBbtGgRKioqMGfOHERFRTV6bebMmbIK98knn8QxxxyD/v37y962Iuj99ttvcccdd8jj+vbti6VLl8rXRLVsfHy8bKtQUlKCBQsW4Oyzz8b333+P7777DpGRkd7zi4XH3n33XYwbNw7V1dW4/fbb21XVS0REREREREREoaHq2z0wby5D/Z9FSLpxLDTJ4YEeUq+mDPQAeisRyh577LEHBLae0Hbt2rVysbFPPvkEX331FUaPHi0XEBM9cD3mz5+PvXv3ylBXVNgKQ4YMkVW0L774oly0TBx/2223HXBtERiPHTsWF110EW688UYkJiZ2w6yJiIiIiIiIiCgY2Qrr3BtOoOLLnQe036TupXB183dAVHaKoLKqqqpR9ScRERERERERERF1P5fDibx7V8jA1iN21iCEjWGRX6CyUVbaEhERERERERER9WKOSkujwFao/HY3XLbGaylR92FoS0RERERERERE1IvZy83ebZcC+HVAGPTnDIRCowrouHozLkRGRERERERERETUi5lLTcgJU0AB4NkjY7AUNuxSmnFfoAfWizG0JSIiIiIiIiIi6sVKs4yYeaSx4ZlN/u+/9xdjZnIMhhkNAR1bb8X2CERERERERERERL1YvlbU2DbmcAG3bd0Hu9PZqH0CdQ+GtkRERERERERERL1Yrtnq3X4oOw0DwnRye11NPV76eAOKX14Pp9kewBH2PgxtiYiIiIiIiIiIerFck8W73T9MhwWDMrzPn4tzodBqR/WPuQEaXe/E0JaIiIiIiIiIiKiXclrs2FNU632eadBiYrQRF6TEyud1agX+b7AOtSvzYCusC+BIexeGtkRERERERERERL2UrbAee4pqvM/TdVr59d7+qYjTqOX2z8kaLI1ToeLLXXC5XAEba2/C0JaIiIiIiIiIiKiXcpSbkW9wL0SWBCX0KndcGKNRY352qve4BUP0qMytgumvkoCNtTdhaBtAs2fPhkKhkA+NRoOsrCzMnTsXZrNvRT7P6/6PKVOmBHTcREREREREREQUGmrK6lGuc0eEGQ2VtR5nJcXgqJgIuT2i0gGrEqj8ZjcXJesGjb8T1O1OPPFEvPXWW7DZbPjjjz9wySWXyGD2iSee8B4jXhfHeWi17jJ1IiIiIiIiIiKijsipMgHu9rXINOgavSYzqkHp2Flvweh9+2G2meG02eSiZNGn9AvMgHsJVtoGmE6nQ3JyMjIyMnDGGWfg2GOPxeLFixsdEx0dLY/xPGJjG/5LIiIiIiIiIiIi6oB9dRbvdmak4YDX+xp0ODYu0h3Sqt1RIhcl63oMbYPIpk2bsHLlSlbSEhERERERERFRtzhinwX/+6UWCzdYcH563EGPU8fqETk9Q247nIB5e0U3jrL3Ce32CCtfAFa92PJxKaOACz5qvO+D84CCv1p+78TrgEnXt3uIixYtgtFohN1uh8VigVKpxAsvvNDomPPPPx8qlcr7/L333pNVuURERERERERERO3ltDrgqrFCRLUpWj0Sm7RHaMp4ZBo+r6jCS0kKfD4+Ee5ut9QVQju0tdQANfktHxeVduC++tLWvVdcowOmT5+Ol19+GXV1dXjmmWegVqsxc+bMRseI/aJtgkdKSkqHrklEREREREREROQoNzeqpG3JG0XluDfOAdiBe3bk4c0RWV08wt4rtENbXQQQkdrycWHxze9rzXvFNTogPDwc2dnZcvvNN9/EqFGj8MYbb2DOnDneY0QfW88xREREREREREREncFe5hfaxrUc2p6THIN/5RahxGrHt6VV+L6kCicmRHXxKHun0A5tRduC9rYuaNouoRuI1gh33XUXbr31VlxwwQUwGA5s/kxERERERERERNRZ7RGeH6JHQp0DoyKVOK6F46M1ajyUnYarN+fI53ft2I/Ru2sR1ycamuTwbhlzb8GFyILMOeecI/vXvvhiK3rxEhERERERERERtZN9eCzeztTg/4bo8W+1r+r2UE5PjMb0WPed5/kWG57YnIeKL3bC5XJ18Wh7F4a2QUb0tL3++uuxYMEC2eeWiIiIiIiIiIioK+Sard7tzLBDL0LmoVAo8PjAdOiVCvn8P300+Ku8Fqb1JV02zt5I4ermGLy6uhpRUVGoqqpCZGRkd16aiIiIiIiIiIiIGnxTUok5m/bK7TuzknFz3+RWv/f5nCI8srtAbg+ucuCdv21I/+c4KPWh3Y21u7JRVtoSERERERERERH1Qrkmv0pbQ+sqbT2uzkjEkHD34mVbo1T4KBaoXuzudUsdx9CWiIiIiIiIiIiol7FXWbBtnbtSVsjQa9v0fo1SgScHZcDdJAF4v48WFb/lw1bIdp+dgaEtERERERERERFRL2Mvqcc+i837PLONoa0wLiocF6fG4VSXFu/8Vg+NA1yUrJMwtCUiIiIiIiIiIupl7GVm5BvcdbKiMUKitn29aB8dmI5XjxyMpAh3ewXr3mrUc1GyDmNoS0RERERERERE1MvYy03IN7ijwXS1Gjf/OAc3fzUZr626Ue6zOXxVuIeiUiig0CgRdVp/776qb3fDabZ30ch7B4a2REREREREREREvUxRpRkWlbvSNk1jx8/5a/BTRTW+yfkRi3b8FzM+n4G82rxWn88wKBb6oXGo1AI/j4oC2CGhe0Pbmpoa3HzzzejTpw8MBgMmTZqENWvWdGwURERERERERERE1G1MlWZML7JhULUDGYYa7/5dFhXmrXwQBXUFmLdsHuzO1lfMLpkSj3OPjcLt4Rb8ZbN20ch7hzaHtpdffjkWL16Md999Fxs3bsTxxx+PY489Fnl5rU/eiYiIiIiIiIiIKDDEQmEJhWY8ud6Mj7Y5MSPG1wphmtGGJH2k3F5XvA6vbXit1ectUgPlDqcssr192z7YnSy37ZbQ1mQy4dNPP8WCBQswdepUZGdn44EHHpBfX3755XYPgoiIiIiIiIiIiLqHs94Ol8Uht9Wx+kZtEFK1TlyXNQQqhUo+f2XDKzK8bY0r0xMwNFwvtzfVmvDa/hK4GNx2fWhrt9vhcDig17s/fA/RJmH58uXtGwERERERERERERF1G0e52bvdNLSNU7uQikJcM+oa+dzpcuLOpXeixuproXAwGqUC/zcoA+5OucCCXflY9+IfXJSsHdRtOTgiIgITJ07EQw89hCFDhiApKQkffvghVq1aJattm2OxWOTDo7q6Wn51Op3yISjEKnMKhSzNFg+PlvZ73t/e/Uql8oBzt3V/e8cu9s2ePRvvvPPOAZ+ZTqdr9Jk15+eff8b06dODbk6h+H3inDgnzolz4pw4J86Jc+KcOCfOiXPinDgnzolzCqU5WUvrZQsDEa4qY3WNQ1uVC3V1OzF79IVYmb8Sfxb/ify6fMxfNR+PT3lcnuNQYxwTGYZLUuOwML8MJgCPJgKv/ZiD6Bn9+H1y+vLQTg1tBdHL9rLLLkNaWhpUKhXGjh2L888/H3/88Uezxz/22GN48MEHD9hfUlICs9nsrdSNioqSga5oweARHh4ug+KKigpYrb7mxZGRkQgLC0N5ebms/vWIiYmRgac4t/8HFhcXJ8daXFzcaAyJiYmycrisrMy7T3yAIowW1xPX9X5QajXi4+Pl+DzBs6DVahEbG4va2lrU1dV597dmTmL+Inh99tlnYTQa5ZzEWMQ3zzN+cY65c+fKOYnjPPr37y+PC7Y5heL3iXPinDgnzolz4pw4J86Jc+KcOCfOiXPinDgnzimU5lSjMmPWMRFwOF0YqKpBbeVe+boKCkSqRBBpQ3HRX3j8yMdx1ldnodZWi+/3fo+RxpGYkTWjxTnNMarwjVKBEqcLyxPV+PKvYpyy3QB7lO+m/976far2u+6hKFxN4+ZWEhMQF0lJScGsWbPkpL755ptWVdpmZGTISYmJ9PZK28rKSnz++eeHHPull14qPy9xXLDPKRS/T5wT58Q5cU6cE+fEOXFOnBPnxDlxTpwT58Q5cU6hNCe704msZRthdwFDwnSo23EBTA474tVO3JPiLrIcPOhxpKWdg+/3fI/bl94u94Wpw/DJqZ8gMzKzxbF/U1KFKzbnyNfizU58uU+JvnNGyGN68/epurpahrhVVVXebLRTKm39E2XxEGHi//73P7k4WXNEiiweTYkPSDyam0BTB9vf9P3t2d/Wa3b2fvHwH9fBxt70uGCeU2vG2Nb9nBPn1J79nBPnxDlxTofazzlxTpwT53So/ZwT58Q5cU6H2s85cU49fU5FNocMbIV0rRXrHXZvawS9Pg3x8UfDaOwv952YdaJsk/D5zs+hV+tRXF8sQ9uWxn5KYjSOKyjH4ooalOqVeFZnxRMbyhA2JrFXf5+UB3mtw6GtCGhFgjxo0CDs3LkTt99+OwYPHiyrQYPN23+/jXc2H9gztqmhsUPx/DHPN9p3w083YHP55hbfe/HQi3HJsEvaPcZFixbJ1gj+7rrrLvkgIiIiIiIiIiLqbLkm3y39aToNkuOiUFhfhnQtMPGIn6FUNo4M75xwJ1RKFa4bfR3iDfGtuoYIMx8bnIEVv22BxuLE0CoHKr/dDf2QWCj17a4j7TXa/AmJ0t158+Zh//79stfDzJkz8cgjj0Cj0SDY1NnqZPrfkuTw5AP2lVvKW/VecY2OED1tX3755Ub7xOdKRERERERERETU2VwOJ/aW1nqfZ0cmYGCUBbYwK/S61AMCWyFME4b7J97f5mul67V4fUQW0r/bh7D8WoimAdWLcxB9qruKlzoxtD333HPloycI14QjMaxxyXVzYnWxze5rzXvFNTpCtJjIzs7u0DmIiIiIiIiIiIhaw15mxpYlOUC2u51pmhaw2crltk6f0urziDvxLQ6LbJlwKEfHRcJ+cn8Ubq0E7E7UrspH+PhkaJI7lqmFupCuRRZtC9rbuqBpuwQiIiIiIiIiIqKezl5mQp7B11c1SVGJioZtvT7Vu99iKZEtDrTaA9shVJorcf/K+6FUKPH0tKeb7evqTx2rR+T0DFllK8ptSxfvRcpFwzpxVqEnpEPbnsBisaCwsLDRPrVajfj41vUHISIiIiIiIiIiakulbX6YL2TVWnfD6QKUCsj2CBWVa7Bp0/WwWkuR1fdG9Ot3U6P3O11OzPlhDrZXbJfPP93xKc4eeHaL142Ymo79m4rx3BA9ahJ0eN/lajHs7c1at1wZdZnvv/8eKSkpjR5TpkwJ9LCIiIiIiIKOy+WUt2ISERFR+znKzchvqLSNUyoxd9XjuH2/AU8U6mWlrU6bKANboaZ28wHvF9W114661vt8wZoF2F21u+ULqxW4YaIRX2rs+LmyFl8WV3bmtEIOQ9sAWrhwofxHZ9PH1q1bDzjuiy++CNg4iYiIiIgCTdyiuXLV0Vj127Gw2Tw3cRIREVFb1ZfVo0TnrnDN0GlQZKqAAwpZbStCW4MhAyqVUb5eW7ul2XMc0+cYnDPwHLltsptw59I7YXVYD3ldUVV7W1ay9/m9O/NQZbN34sxCC0NbIiIiIiIKerv3PAuzeR9Mpr3YteupQA+HiIiox3KUW/DiWhPu2WLBBSlqWJ0OuT9O7YJOlwKFQgmjcbDcZzbnwWaravY8t4+/HVlRWXJ7S/kW/OvPf7V47ZMSonFifKTcLrHa8dDW/bCXmjpxdqGDoS0REREREQU9m813C2W4cWBAx0JERNRTuZwuKCrMmFDuwNkWNUYa6ryvDUmdgfDwfnI7ImKId//Bqm0NagMWTF0AjVIjn7+9+W2szFvZ4hgeGZCOcJU7knyvtBLL/8rv8LxCEUNbIiIiIiIKev4rV0dFjg7oWIiIiHoqR7UVsLv7w6tj9cirzfO+1jdmGJRKndyOMA717q85SGgrDI4djJvH3ux9fveKu1FuLj/kGNL0WtzRx90mQQtg35CoDswodDG0JSIiIiKioGez+X4A1GhiAzoWIiKinspe5mtFoI4zIL/WV+WaYEjxbhuNfpW2NQcuRubvwqEXYnLqZLldairFfSvua3Hh0DmZCZidFo+fJgzGRam+X8ySD0NbIiIiIiIKejarf2gbE9CxEBER9VSOcjPWxqqwJlaFghgN9tfs9752w7s5mPjYT5j/9WYU1KVhWd6kFittBaVCiYenPIxYvfuXqnq1HhaH5ZDvUSkUeHxgOgaE6ztlXqFIHegBEBERERERtcTqV2lbVbUWMTGToGzooUdEREStE3ZYEl5xVmJ9vRkKaxlOMO30vua0xqDAbMabK/bgvd9yYHeeiz4ROeij2Amn0wqlUjQzaF68IR4PT35YVtqekX0GFApFN80odLHSloiIiIiIgp7NVuHdXv/XZbBYCgM6HiIiop5IoVQg12aT2yk6DQrq3D1tNSIidBrktlGnhtXhhNOlxMLN58PhVMFk2tfiuY9MPxJnDjiTgW0nYWhLRERERERBTfTF8w9tBbPZt3AKERERtU6d3YFym0NuZ+hUKDa5/37VysDWHbY+efZIDEwyyu2c6kzsVn+B8PD+7buera7Txt7bMLQlIiIiIqKgZrfXwOWyN9rH0JaIiKjtcs1W73aGQY8XxpyC6xLMiKkd790/KDkCj88cCU/B7DM/7kROWdvD119yf8FJn56EpfuXds7gexmGtj3MAw88gNGjRwd6GERERERE3UahUGHgwPthNA717jOZfatdExERUcucZju2LM/1Pu9j0CESVRigd6KmaoTcp1EpkBEbhrGZMZg9qa/cZ7Y5Me+zjfLOl9ZaU7gGN/5yIyosFbhn+T0oqS/pghmFNoa2QWDVqlVQqVSYMWNGl5y/b9++sp+IeIjrpKamYs6cOaioaHyLWVdasmSJvH5lZWW3XZOIiIiIQoNaHY6M9IsxdMgT3n2stCUiImobe6kJu3f7sqBMvQ5mSwGcLgWK6hPc+2LDoFG548Lbjh+EtGh3n9uVu8rwydr9rb7WuKRxmJY+TW7L4HbFPXC6nJ08o9DG0DYIvPHGG7jhhhuwdOlS5Od3TcXA/PnzUVBQgNzcXLz//vvyWjfeeGOXXIuIiIiIqCvo9anebYa2REREbWMvNyPP4IsCM/RamM35KDfHwObUyn39E9y9bIVwnRp3nxDmff7wN3+juNrcqmuJwr35k+cjweAOg1fmr8R7m9/rxNmEPoa2AVZbW4v//Oc/uOaaa2Sl7cKFCxu9/vjjjyMpKQkRERGyOtZsbvwfx5o1a3DcccchPj4eUVFROOqoo/Dnn38ecB3x/uTkZKSlpWH69Om45JJLDjju008/xbBhw6DT6WR17lNPPdXodVGZe/HFFyMmJgZhYWE46aSTsGPHDu/rOTk5OPXUU+Xr4eHh8lzffvst9u7dK68piNfEf7izZ8/ulM+PiIiIiHoPtToKKlW43GZoS0RE1Db2MjPyDQ2NagHsLfkZS8rLsKY6ElC4e8f38wtthUGRyzExZbXcrjY78MDXf7f6ejH6GDw85WHv82f+fAZbyrZ0wkx6B4a2Afbxxx9j8ODBGDRoEC688EK8+eab3h4h4jXRw/bRRx/F2rVrkZKSgpdeeqnR+2tqamQAu3z5cvz2228YMGAATj75ZLn/YPLy8vD111/j8MMP9+77448/cO655+K8887Dxo0b5XXvvffeRiGyCFrFOL766ivZ0kGMU1zLZrPJ16+77jpYLBZZxSvO8cQTT8BoNCIjI0MGwsK2bdtkxe9zzz3X6Z8lEREREYUmi7UUJlMenE6Tt9rWbC6Ai7dZEhERtZqj3Iz8MHcUqAHw3Y4P8XGFDv+zFgMKh9zfP8H9y1EPY8RQzBr0OYyaWmREWzF7UlabrjkpdRJmD3MX7tmddtyx7A7U2+o7bU6hTOFqSxfhTlBdXS0rQquqqhAZGdml1yp7ayHKm1SuNkc/dCgyXm4chu675lqYN29u8b2xs2cj7tL2V41OnjxZhqU33XQT7Ha7DGY/+eQTTJs2DZMmTcKYMWPw4osveo8/4ogjZLXt+vXrmz2f0+lEdHQ0PvjgA5xyyilyn6iaFUGpRqOBw+GQ7xeB7ffffy+PFf7xj3+gpKQEP/zwg/dcc+fOxTfffIO///5bVtQOHDgQK1askOMSysrKZCD79ttv45xzzsHIkSMxc+ZM3H///c32tBXVtqJa13NNIiIiIqLW2LHzceTmvia3VaowOBzuH/amTF4FnS4xwKMjIiLqGUpe3YBZiTbsiFAizaCDcf81KDKVI0zhwj3Zc2DTn4MJWbFIj/G1RKiv34NVvx2L3Oo0jOgzHOPGNM7PWsPmsOEf3/4DW8rdVbZnDzwb9088MDvqLapbmY2GdKWts7YW9qKiFh+O8vID3iv2tea94hrtJapOV69ejfPPP18+V6vVmDVrluxxK2zZsqVRNawwceLERs+LiopwxRVXyApb8Q0X32zRckH0rvV3++23y6B3w4YN+Omnn+Q+0Y5BhLiea4kA2Z94LsJacYx4XYzPfzxxcXGyQli8JogeuQ8//LB8nwhuxbWIiIiIiDrKZvMtmhIRMVx+VSr1sFpLAzgqIiKintfT9p3f6rFqhRlfHZaFEpP779ckvQHjsjJx1tj0RoGtYDD0kb8wzYzMg8XU+tYI/jQqDZ6Y+gQMaveiZv/d/l/8lOPOpujg1AhhSqMR6qSkFo9TxcY2u6817xXXaC8Rzorq2tRU34IKovBZ9JR94YUXWnUO0RpBVLyKdgN9+vSR7xXBrtVqbXSc6HmbnZ0tt0XA++yzz8rjfvnlFxx77LHoDJdffjlOOOEEWZ0rKnYfe+wx2RdXLLJGRERERNReNquvyGLgwPuh0yZCo3GvlUBEREQtc9mdcFRZ5LYmVg+LpRROuG++H5A4FSkpM5t9n0KhhNE4GFVVf8Js3g+brRoaTSScTheKasxIiXIHsS3JisrCHePvwAOrHkCENoJ/h/f20Fa0LWhv64Km7RI6mwhr33nnHRlqHn/88Y1eO+OMM/Dhhx9iyJAh+P333+XiXx6ib60/0a5A9LkVvWWFffv2obS05YoDlUolv5pMJvlVXEucq+m5RUsEcax4XYxZjMe/PYKoFh46dKj3PaJdwtVXXy0f8+bNw2uvvSZDW63WvQqhp7KXiIiIiKi1rH6VtuFh/aFUik58RERE1Fr2CjMaMlqoY/XYU+db0DPNmHbI90YYh8nQVqit3YIy21Dc8elGlNdZ8d1NR0KvcWdMLTlrwFkoMZXgjOwzkBye3JHp9AohHdoGs0WLFsn+rnPmzJFtDfyJvrCiCve2226Ti3+NGzdOthx4//33ZX/Zfv36eY8VVbPvvvuuPEb0xBBtEAyGA3/LIRYmKywslJW8ItgV/WoTEhK8Aew///lPjB8/Hg899JBs0SAWGhPVvp6Fz8R1Tj/9dNmK4d///jciIiJw5513Ii0tTe4Xbr75Zpx00kky6BVzE1W8IuwVRBWw+C2KmLcImMUYxSJlREREREQtsdnclbZqdRQDWyIionawl5m92+o4A/JqfOs47SnU4qctRRiRFoXESP0B7zVGuLMdoaZ2M+79zoU/cty/UP3XTzsw98TBrRqDyIWuHnV1B2fSe4R0T9tgJkJZ0ZagaWDrCW3Xrl0rA897771XBqyHHXYYcnJycM011xxwHhGQjh07FhdddJHsK5uYeOBiDPfdd59c5Ey0YhALlIWHh8sWBqIvrSDe//HHH+Ojjz7C8OHD5fHz58+XobHHW2+9Jcch3i9aK4gA+Ntvv5ULnHmqaK+77jo57hNPPFGGt57QV4S7Dz74oAx6k5KScP3113f6Z0pEREREoR3aipYIRERE1HZKvQrvT4jCHYcb8WSEDTuqfGshfbvOijlvr8UX633Vt/4ijL7QtrZmC+afPgxalTtS/PfS3fg7v6pDY6uydOz9oUrhEslbEK6QRkRERERE5HTa8MsSdwVPVOQYjBv3X+zb9zbqTXvlvkEDe+/q00RERG1x/l+78Et5jdw+T/E+fsr5Xm7X7boVTmsiXr94HI4deuD6Tg6HGb8uHQmXywGjcSgOn/A1nvtxB575cbt8fXhaJL64djLUDUFua9VYa/Dcn89hYupEHJN5DHqL6lZmo6y0JSIiIqJeo7x8BXbtegoWa8trAFBwsPn1s9Vo3XeJ7dv/NvbvfwcFBZ/Ju7+IiIioZfvM7kXrDUolSur2e/c7be47WfonNt/GUqXSIzHxZKSlno+M9Ivkvmum9cfAJPfxm/Kq8eaKPW0ez3+2/QeXDL2kVwW2bcGetkRERETUK9jtNVi33r3Aq6jSHDH8+UAPidoa2ja0R9Dr02Ay5cDhqIXdLlaxPrDlGBEREfk4xRpHDaFthl6LVGcsitROlJhiAJcGGpUCGTEHrpHkMXzYs42ea9VKPD5zJGa+vBLi96dPL96OE4Ylo09ceKvHdPmIyzswo9DHSlsiIiIi6hXq630VIMXF3wZ0LNR61oZ+toJWE+sNbT3M5ub77xEREZGbuCul2GKDxem+OyXToMUdI2bijmQL6nffKveJsLWt7Q3GZsZg9qS+cttsc2LeZxt5B0wnYmhLRERERL2m0pZ6nuiocZg8aRkmjP8KaWn/kPv0+lTv6wxtiYiIDs1ZY8Wfz//hfZ6p18JszkeZKQY2p07u6xff+gpZf7cdPwhp0e4K3ZW7yvDJWl/bBeoYhrZERERE1CtYrWWBHgK1g1KpkSFtRMQwGAzuCluGtkRERK1nLzMjT4sDQtvCet+iY/0Smu9n25TVWo7q6o3e5+E6NR45c7j3+e7Sus4adq/HnrZERERE1CtYrSXe7djYIwM6FuqYxu0R8gM6FiIioh4R2hp8dZsZBi3MNfkorPOFtv0TWq60XbPmTFTXbIBaHYmpR/4JhUIh908blIjrp2fjyAHxOLyfe9FQ6jiGtkRERETUK1itpd7tPn2uCuhYqGMMfqGtiZW2REREh2QvNyHf4A5YhbV73sGLe5ajxhENhaYULlt8qyptNVp3b3mxCKj4pannDhjhthMGddHoey+2RyAiIiKiXsHiV2mr1cYHdCzUekXF32LfvoUoLPwKDodZ7tPpkgG4f/hkewQiIqJDs5ebke9XaVtauwf7zBZUaoqQHlGCMK2qVZW2EcYh3u3a2s1dNl5yY6UtEREREfUKWX2vQ1LiDFlx61+pScEtP+8jlFeskNtHTV0vmiNAqdRCp0uCxVLI0JaIiKgFjjIzTnHYMKDWCdNhCSjJcbcWUsCFJ6b9ionj/+ltdXAoxoih3u2a2i1ISDiu2eOcThfe/z0HueX1uHuG7z3UNgxtiYiIiKhXCAvLgsGQCZutEibTfnmLn44Vt0HPaiuXXxUKDVQq362bcbFTYbfXQG9Ig8vlhELBmwiJiIgO1h7hlDo7Tq9VImV2Fo782x3aJuhjkN33ulYFtgdU2tY0X2nrcrlw6cI1+HW7+w6nY4Yk4Qj2uW0X/ssmwAoLC3HTTTchOzsber0eSUlJmDx5Ml5++WXU19fLY/r27Sv/AxIPlUqF1NRUzJkzBxUVFd7zLFmyxHuMUqlEVFQUxowZg7lz56KgoMB7nP+5mnvMnj07IJ8DERERUXfdar9s+QT8vvokFBV+FejhUCvYbO5/82o0MY1+qBwy5DGMGPECBmTPY2BLRER0EE6zHc46u9xWxelRZ6tDpaVSPs+MykZi4omtPpfB0AcqVZi30rY54u/qowcnep/P+2wjzDZHB2fRO/FfNwG0e/duGaz+8MMPePTRR7Fu3TqsWrVKBq2LFi3Cjz/+6D12/vz5MnzNzc3F+++/j6VLl+LGG2884Jzbtm1Dfn4+1qxZgzvuuEOeY/jw4di4caN8XewX5xGPTz/91Psez77nnnuuGz8BIiIiou6l1fgqPay2soCOhVomqnVsDZW22obFT4iIiKht/Ww91LEG5NX62gqlGlPbdC7xS1KjcbDcNpv3w2arbva4C4/og7GZ0XJ7T2kd/vXTjnaOvndje4QAuvbaa6FWq7F27VqEh/saPvfr1w+nn366/EeqR0REBJKTxYILQFpaGi655BJ8+OGHB5wzMTER0dHR8tiBAwfK84hg+JprrsHy5cuRkJDgPTY2NrbRe4iIiIhCld1eh7KyX7y32gtWK0PbYOdw1MHptHorbYmIiKht7GVmVGoUcCiAiFgd8mp2e1/74S8b8nasxt0nD8GApIhWnc9oHIqqqj/ldm3tFsTEHH7AMSqlAk/MHIkZ/1oOq8OJfy/djRkjUzAsNaoTZxb6WGkbIGVlZbLC9rrrrmsU2Po7WE+RvLw8fP311zj88AP/w2jKYDDg6quvxooVK1BcXNzhcRMRERH1RCZTLjb9fRO2b3/Qu8/G0LbHtEY4VGgr+tk6HO62YkRERNSYrl8Uvjw9DSdMN2K0qhLLSnZ5X6uoNmLJthKoVQ3xoKUG2PAxULG3VX1ta2qb72sriBD4uunZctvhdOHOTzfC7nB2zqR6iZCutF3/Yy7W/7ivxeMSMiMw49qRjfZ989IGlOTWtPje0cdmYPSxmW0e286dO2Ul7aBBgxrtj4+Ph9nsLl0Xge4TTzwht0Wrg3vuuQcOh0O+LgLbp59+ulXXGjzYXbq+d+9eWVVLRERE1NtYraUH7mN7hB4W2jZuj2Ay5WHd+gthNhciKfFkDBv2VABGSEREFNxU4RrkhymBGsDkcqHe7Cvoc1ljoFEpkBFjcO/48QFgzeuAJhw4/0Og31EHnC8iYqj8qlCoWvwF+DXT+uObjfnYXlSLjXlVeHPFHlw5tX9nTzFkhXSlrdVkR12lpcWHqcZ9y5U/sa817xXX6EyrV6/G+vXrMWzYMFgsFu/+22+/Xe7fsGEDfvrpJ7lvxowZMsRtiafNQmtXAyQiIiIKNVZrSTP7GNoGO/92Ftomoa1GEy0rqF0uK8xmX38+IiIiaizX5Mu9asyF3m2nLRZ94sJ8lbbb/+f+aqsD3j8HyP39gHMZjYMwfvyXOGrqRvTvf9shr6tVK/H4zJHwxFFPL96OnLK6zplULxDSlbZagxrh0boWjzNEaJvd15r3imu0R3Z2tgxRxSJg/kQ/W3l9Q8NvOfwqcMV7hAEDBuDZZ5/FxIkT8csvv+DYY4895LW2bHGv6Ne3b992jZWIiIgoJCttGdoGPZvVF9pqtI3bI6jV4VCro2G3VzK0JSIiOoRcs7soMEGrxmXZlyC8ag2+3DsGLnsk+sUb3Qc5bECV393qaWOB5OEHnEup1CEy4sD9BzM2MwazJ/XFWyv2wmxz4qkftuNf54/phFmFvpAObUXbgva0LhCatkvobHFxcTjuuOPwwgsv4IYbbjhoX9uDUalU8qvJZDrkceL1V199FVOnTm20CBkRERFR7w1tRTWJE06nSfZCVanCAjgyOhTxvYmIGAabtQI67YFtvgz6NNTUVsJiLYLTaYdSGdI/3hAREbWJy+FE+Z/FKLK67xLP1GsxKq4vltniYCmeIff1S2gIbZv2sb3gY0DbtqzqYG47fhAWby7C1IEJuPMkdwtPahn/VRNAL730EiZPnoxx48bhgQcewMiRI6FUKrFmzRps3boVhx12mPfYmpoaFBYWylYH+/btw9y5c2UIO2nSpEbnFIuNiZ634vg//vgDCxYsQGlpKT777LMAzJCIiIgo+EJbo3EwahsWzhDVtgYDQ9tglZh4onwcjF6fiprav+FyOWCxFMFgSOvW8REREQUzR4UFW77fBUwJ94a2ZksBCuuTvMf0T2gIZkt3+N541B2APrLxyWxmQKNv1zjCdWp8f/NUGHWMIduCn1YA9e/fH+vWrcOjjz6KefPmYf/+/dDpdBg6dChuu+02XHvttd5j77vvPvkQRFg7fvx4/PDDD7Ji159Y2Ey0XTAajbLVwvHHH49bb70VycnJ3T4/IiIiomBh8etpazQObBLaZgRwZNQRer0vpBUtEhjaEhER+djLzcgz+NY3yjToYDHnorDOd/eKt9K2dLvvjXEDGp+otgRYOAMYdxlwxNVyodC8vP+gpnazbJXQp8+VLY6FgW3b8RMLsJSUFDz//PPycTB79zYpUW/GtGnTvAuOtVZ73kNERETUkxciE33Y+vf7J7L6Xg+NJg5qdUSgh0adGNoSERGRj73chHxDwyJjAKJcFfizcDX2m0RQ65Qto7yVtmV+lbbxfqGttQ549wygdBvw/R1ykTLn4Zdg1+4n5cs2a1mrQtumCqpMyK804bA+jRcaJR+GtkREREQU8jyLjmm1CfKWegoNDG2JiIgOzl5mbhTaFpYvw8ub3wYSAbUNiLCPRnSY1v1i6U7fG+OyfduaMGDQyUDRJvfzn+ZDZzNBq0mA1VaCmtotsiBQ3PXdGuLY937LwRPfb0O4ToXFtx6FSL2mk2YcWhjaEhEREVFIE/1OlUotFAo1tNr4QA+H2uCvDVfCYa+D3pCOoUOeOOB1/wCeoS0REdGBoa1/ewTR/93jpLQ1GNnnON/BU24BCjcCtUWArqFlgiDC2KPvBrRhwI8PuPctfRKD+mdjY6oLdnsVLJaCNv1S/Oetxai12OXjsW+34rGzRnR0qiGJoS0RERERhTSFQoUpk1fA5XLC4TAFejjUBpWVf8Bur4TBnNlypa2loBtHRkREFPwc5WY8VGzGtbutsFw1HP9dX+h97ejUjTh1yhDfwYNOdD8ORoS6our2u7nyaeKunRhUr8e27HDU1GxudWgrKnIfPnMEjn/6V9RZHfhwdS5OH52KI/o1XrOJGNoSERERUS+hUCihVofD4ahHYdHXsgebTpeClJQzAz00aobTaZfVO4JGG9PsMRpNDIYOWQCdPhVhhj7dPEIiIqLgJdoQiJ62OieQrdMhOT4K/6p135WiV+lxyrQVbe/tf/hVgMYAfHWjuALSC8xQOVyo6bsJCQnHtvo0adEGzD1xMO7/6m+EaVWyvy0diKEtEREREfW6dglbt94lt2NjpjC0DVKiwlb8QChoNLEHrdZJSZnZzSMjIiIKfs5aG1xWsdgYoIrVyxA3vzZfPk81pkKjiWzficdeDKgNcH1+FRQuB1KKLaj8+Q2g73WAqvW9aS88og/yKk246Ig+yIgNa99YQhxDWyIiIiLqVVQqIxQKLVwuK6w29wJlFHystgrvtlbTfKUtERERNc9ebvZuq+P0KDOXwexw79Mr4rG/ol5WvMoFxIo2uw+M7Qdo9C2ffOQ5gFoL5ycXQ+kCzKgDlG2LGFVKBe462a89Ax2AoS0RERERhTTRCqG09CdotQlIT7sAYWFZ0GpjYbEUwmplaBusbNaKRm0QiIiIqPVcVge2p+vxi96J/tEKpJbt9b62frcS01cvwZb5J0KtUgA/PwRs+xZQKIGbNwFRvp7xB6MYejp2jB+D8NzN2NoPiLPXtL96l5rF0JaIiIiIQlp11XoUFX0ttxMTTmgIbeNkaGuzlcsFykS/WwouNr9KW4324IuTWK3lqKn5G2ZzHqKixsBoHNRNIyQiIgpe+gEx2Knvg9d25gPOGlxVstv7mtMWg/RoJdSqhn//lO5wf1XpgIiUVl/D2X8qtur3ye3a2q2IiZnQybPo3RjaEhEREVFIs1pLvdui2lZ+1bhDQJdLLHZVDY0mOmDjo+b5t644VHuE8vLl+HvzLXI7O/tOhrZEREQNcs1W77bLVuK3HYvMRLv7icMGVOxxb8dlA8rW/yI7LnYKnE4rIoxDYDBkuHcWbAB+vB+Y+QYQ1nxPemodhrZEREREFNIsVt8PKVpt/AGVm6JFAkPbIK+0PURoq9enerdFtS0RERG55Zp8oa3aVd+o0jYrIdz9pGIv4GwIcOOz5Ze61auhHzgQquhD//soIeF4+fAq2Qa8ewZQXwa8fSpw0ReA0f0Lc2o73gcWIA6HA5MmTcJZZ53VaH9VVRUyMjJw9913e/d9+umnOProoxETEwODwYBBgwbhsssuw7p167zHLFy4UDaP9jyMRiMOO+wwfPbZZ906LyIiIqJgrbRVqcKgVrt/QBHtEXyvs69t8LdHOHiljl7v67tnNrtXxSYiIiJfpa1WocA9E27DTMMFqN15O5yWZAxMavi3UOl27/E2VRr233Ajci++BCUvvdT2CzodgELl3i7aBCw8Gajm383txdA2QFQqlQxav//+e7z//vve/TfccANiY2Nx//33y+d33HEHZs2ahdGjR+Orr77Ctm3b8MEHH6Bfv36YN29eo3NGRkaioKBAPkSge8IJJ+Dcc8+V7yEiIiLq7aGtp8rWvz1C09vwKXjEx01Hv6ybkZ5+MQz69IMep9MlQqFw30DISlsiIiLAaXGg8IV1yKkxy+fpei2UCgXyKtRw2eIAlxoDU1Ia97MVYrJQu3y53Kz44ENYdvv64LZK0lDg0u+AyDRfIPzWSUBFTifNrHdhaBtAAwcOxOOPPy6DWhG0fvnll/joo4/wzjvvQKvV4rfffsOCBQvw9NNPy8eRRx6JzMxMWUF7zz334Lvvvmt0PlFhm5ycLB8DBgzAww8/DKVSiQ0bNgRsjkRERESB5HRaYLdXNepn6972hbY2VtoGpdjYycjKugGDBt4PnS7poMcpFCrodO4fPBnaEhERAfZyM0qK6mBqSP0y9Vr5dX+VwXtMdmLUAaGtZtA4xM2Z03ASO4qfWNC669lrUFGx2v2LctFiQQS3MX197RfeOhko29VJs+s9GNoGmAhsR40ahYsuughXXnkl7rvvPvlc+PDDD2Wbg2uvvbbZ94qQ9lDtF95++225PXbs2C4aPREREVFw82994F9pq9MlIyysP6KjJxyyXyr1DJ6+tuKHRvEgIiLqzRxlJuSF+TKjTIMWDocZ+XXudkOROhOiw9xBLsrcoa3dooTTmIG4OZdBnZws99X++itql7krbw9m//738OvS0fhz3fkoK1vm3hnTxx3cxg90P6/e7664Ld7SFdMNWSG9ENnaRZ/jj2++aPG4xKz+OHPufY32fb5gPor3tPxbgMNmnIFxp5zZ7jGK4PXll1/GkCFDMGLECNx5553e17Zv3y7bIKjVvm+TqLgVwa5HXl4eoqKivP1wRcgrmEwmaDQavPrqq+jfv3+7x0dEREQUCq0RmlbaiirOiUf8EKBRUWcz6NNQ2bBtMuchwjg4wCMiIiIKbKVtvsFXpxlm34d//vI4TJFqKGsGIz0iwndwQ6Vt8aZkVE2aBl2/fog5bxZKnn1O7i964nGET/wCCr9syp/B0Me7XVsrQtmGjCwyFZj9rXthMtHftrbIXXF70edA6ugumnloCenQ1mqqR215y7e7RcT5qi48TNVVrXqvuEZHvfnmmwgLC8OePXuwf/9+9O3bUELeDLEA2WmnnYbff/8dF154IVwul/e1iIgI/Pnnn3K7vr4eP/74I66++mrExcXh1FNP7fA4iYiIiHoai7XEu63zq7Sl4Gcy5coqaJXKeMg7zA5cjIyhLRER9W5NQ1uXJQc/5S2FLh5QOnToEzPC/YK5WlQTujertIDdCsuuXYi95BLU/PILzH9tgHXnLlR8/DFiL7ig2WsZI4Z4t2tqNzd5MQG45GvgvZlA/p+Aqdz9laFtq4R0aKs1hMEY6+tXdjCGyKhm97XmveIaHbFy5Uo888wz+OGHH2QP2jlz5siwVfzDVPSlXb58OWw2m6yaFaKjo+VDhLtNif612dnZ3ucjR46U533iiScY2hIREVGvJHqhpqX9Q1bcGo2+HyoouDkcJqxcNV1ux8RMxNgx77UhtOUq1URE1LvZy0xIMDsxocyOolQDXDbfL7GvGvoFTh7aENrqI4G5u+GsLITlk2PlLlFpqzQYkDxvHvaed77cV/qv5xE1YwZUDXd6+xO/FNdqE2G1FqOmZossLmz0y9awWODiL4EPzgUGnQyMu6zL5x8qQjq0FW0L2tu6oGm7hK4gqmFnz56Na665BtOnT0dWVpZskfDKK6/Ifeeffz6ef/55vPTSS7jpppvadQ2VSiVbJRARERH1RpERwxE5aHigh0FtZLNVeLfV6gN/QGyup61SqZfhrVLZ0KOPiIioF1faziiz45QyF1JnHoZ7V3zofW1Q0lFIim38i2xLXpn4janc1g91v2YYPRqRp5yC6kWL4KisROlLLyNpnq+lp7+IiCEoKyuG3V4Ji6XA22veS4TDouJW5S5IpNYJ6dA22M2bN0/+BuLxxx+Xz0VbhP/7v//DbbfdhpNOOgkTJ07EP//5T/nIycnBWWedhYyMDBQUFOCNN96Qv7kQ1bUe4lyFhYVyWwS1ixcvxv/+979GPXCJiIiIyG3L1rtl7zWn04rDJywK9HDIj9VW7t3WtmKhOFGNO+2oTS22USAiIgp1LocLjgqL3FbH6eXfjXm1ed7Xp456Bkatez0kD8vWrd5t3WBfoJv4z1tR8+OPcJnNsOzeDZfTCYVfDuVhNA5FWdmvcrumdsuBoa3QXGC7+UtAoQSG8O7w5jC0DZBff/0VL774IpYsWSL72XpcddVV+Oyzz7xtEkSIO2HCBLlYmeh9K6pzk5KSMHXqVKxatQqRkZHe91ZXVyMlJUVu63Q69OnTB/Pnz8cdd9wRkDkSERERBbO62m2orv5LbovglhWawcNm9YW2Gq17petDUYgf+IiIiAiOKgvgdK9/pI7Vy6+e0DZKF3VAYCuYN4sFxNz0Q3yhrSYlBUl3zIU6KQnG6dMP+svRCL8WVLU1m5EQf0zLA93+A/DfOYDL6V6crN9RbZlmr8DQNkCOOuoo2O32Zl8T1bH+zj33XPk4FNFmQTyIiIiIyMfptECp1DX7mkYb1+h2fNH/loKvPYJYjIyIiIha38/WQxWnh81pQ1F9kfs1SwzeWL4Hc6ZkuQ/4/BpAY4B5zQbve/SDBzU6X8z57r62hxIRMdS7LSptW2XbN4DTBvSbBmQc3rr39DIMbYmIiIgoZP32+8lyYYwwQxYmTPiq0Wtav9DWai1jaBu07RFarrQlIiIiN3WcATtOSsd19mpk6Mw4Y89WOEU1K4DK6gj8vrvMHdo6bMDGj+Fy2GHZ617QU5OaClV0dJuvaTBkQqUKg8NRj9qaVoa2M54B4gcCh80GNO6KYGqsTfcRORwO3HvvvXLBLIPBgP79++Ohhx6SvVSJiIiIiIKN1Voqf4BwOOsPeE2raRzaUpC2R2hlaFtQ8Cn+2nAVVq8+DSZTbheOjoiIKHiJlgglg6JQrnThL5sV+X79bF22GEQqfnc/Kd8DOO2w1argtLpzPZ1fa4TmiPyv9tdfUf399432KxQqGMNFha4CCqVW3unUItEbd+J1gDa8XfPsDdpUafvEE0/I3qpvv/02hg0bhrVr1+LSSy9FVFQUbrzxxq4bJRERERFRGzkcJjgctXJbq0044PVGlbY2hrZB2x5B27r2CLV1O1Ba+qPcNpn2yaofIiKi3ijXZPVuaxy+f+M4bTHIiLa5n5TtkF8s1epm+9k25bJase+661G3bBlUMTEInzwZqogI7+vDhj0HrTZGVtxSAELblStX4vTTT8eMGTPk8759++LDDz/E6tWru2p8RERERETtrrL10GrjD93TlpW2Pb49gl7vvrVTMJt9VUVERES9Ta7ZV+k6NKYv0pWHY291OZzmJPSPb2hFUOoObSPSLBjwxp2wKAfKhccORqHVekNaR0UFSl9+BUlzb/e+bjD4/h6mAIS2kyZNwquvvort27dj4MCB+Ouvv7B8+XI8/fTTB32PxWKRD4/q6mr51el0yocgVp8TD1Fm7d9qoaX9nve3d79SqTzg3G3d396xc06cE+fEOXFOnBPnxDlxTl07J7O52Lut0cQ1ek2MXezzsFhK5evBPqeDfe5t3R/sc7L6tUdQq6Nb9Rnodane7XrTfv6swTlxTpwT58Q59bo5ieNtebXIqfPlcMelTcD7FcUw5Wvl8+xki/u8pduh8Iy7zwiEp4+V+w/1GcTfcgtqfvoJLosF5e++i+hzz4Em03dnC79PaNXYm77WKaHtnXfeKUPXwYMHQ6VSyR63jzzyCP7xj38c9D2PPfYYHnzwwQP2l5SUwGw2y23RH1e0WBDnNpl8q9yFh4cjIiICFRUVsFp9pd2RkZEICwtDeXk57Ha7d39MTAx0Op08t/8HFhcXJ8dbXOz7h7uQmJgo51BW5qusEB9gUlKSvJ64rveDUqsRHx8vx+cJngWtVovY2FjU1tairq7Ou59z4pw4J86Jc+KcOCfOiXMK7Jyqq3d5t21Wg/c1z5wUiPQdW5MnrxXscwrF71Nzc0pOug8J8RWIiFDA4VChtLS4xTk5HL5bNKsqd3uvESxzCsXvE+fEOXFOnBPnFFxzctbb4fj3buydGg4YlIhRq2AqL8PehmFGaGqQEJkp3+8q2Ax3jAuUIhqJ8pemLcxJo4bu3HNhfvdd0csI+Y8/DsMDD/D7ZG3bnPyveygKV9O4+RA++ugj3H777XjyySdlT9v169fj5ptvlpW2l1xySasrbTMyMuSkxETkIJjEc06cE+fEOXFOnBPnxDlxTp08p7y8D7B9x/1ye/CgR5GSck6jsYvq2uUrDpfP42KnYeTI14J+Tm39fhxsfyjOSfQvXrpsjNyOjj4cY0a/1+PnFIrfJ86Jc+KcOCfOqevmZN1Xg4JXNmDycUY4FQqMjDDgk6F9MWq+u+f7gOhd+PLG09193xdkQWGqgCsiFa5b/m71nJx1ddhz8gzYS0rk84y33kTY4e5/TxUWfYGK8hWorduOw8b+F0qlht+nZvaLbFSEuFVVVd5stMOVtiKwFdW25513nnw+YsQI5OTkyGrag4W2IkUWj6bEByQezU2gqYPtb/r+9uxv6zW7ej/nxDlxTpzTofZzTpwT58Q5HWo/59R4v81vcTGdLvGA94jFMvpkXiUXJAsL7+99PZjn1NljCaU5KZWRUKsjYbdXw2zO588anFOr93NOnFN79nNOnFMwzslZYUGRXiEDWyFDp8LmIl+P/+TwYuj1yVDUlwOmCpjKNKjcFgn9xx8jfMoUaNPTWxyLMiICCbfcgoK77pLPi59YgKxP/wuFSoXysl9RVLxI7jeb98JoHNThOYXi9+lgrx1wLNqgvr7+gBOLsuTW9mIgIiIiIuouVtuhFyJTKFTIzp6LzMw5iI+b1s2jo67gWYzMYimAy+UI9HCIiIi6lb3MjDyDL7eLdZXhyqUnwjhgPrQJ3yMtshZKpQ4ocy9CVlesQ+W6ahQ+8CBMf/zR6utEnXE69EOHym3L1q2o/OwzuW2McO8Tamo2d+LMeqc2hbannnqq7GH7zTffYO/evfj8889la4Qzzzyz60ZIRERERNQOVov7tj1Bq0sI6Fio9azWUuTmvomCgs9RU7OlXaGty2WHxdK43x0REVGos5eZkB/mi/rCXO67jhTqemRF5mJkckNPVmMiMHUuLI6+3mN1g4e0+joKpRJJd83zPi959jk4amsRYfSdo7a2bX+HUwdD2+effx5nn302rr32WgwZMgS33XYbrrrqKjz00ENtOQ01mD17Ns4444xmX+vbt6+3xFo0MBatKF5//fVuHyMRERFRT5WdfQdGj3oLQ4c8Ca0mLtDDoVaqr9+LHTsfweYtt6Gg8NM2vVevT/Vum815XTA6IiKi4GUvN2NSiR0L1plwX59kxCp8raKOTNqCEanuHrOI7QccfTfMdVHyqUKrha5fVpuuFTZuHCJOPFFuG0aNgrOuvnGlbS0rbTuqTT1txapozz77rHxQ15s/fz6uuOIK2Zbik08+kdtpaWk46aSTAj00IiIioqAXFpYlH4fidNpgs1XAaitHmKEPVCpDt42Pmie+Hx4aTUyb3hsXeySUCo0Mbz1Vt0RERL0ptE2yuJBSr0Bqv2Q8/YfvrqMjBt+NvinjvM/FgmLWvXvltm7AACg0GuzbXI7EvhHQhTWEuy1IvO02xJx7DsInTfLu02oTYLWWyLtlxAJdzfV7pS4Ibal7iZA8OTlZbt9xxx1YsGABFi9ezNCWiIiIqJPs2Pko9u9/R26PO+y/iIoaE+gh9XoiQPfQamLb9N74+KPlg4iIqLdx2RxwVlvltjpWL7/m1fjuOhmUfDQiIjK8z83bt4t+QnJbP3QIasrN+Opf6wEFMGRSCo6+qOV2Cdr0NPnwJ1oklJWXwG6vlD3m/e+CoS5sj0CBIRZ6+/TTT1FRUQGtVhvo4RARERGFDP+2CVar7xZCChyb1b/Stm2hLRERUW+usvVQx7nvHMqt3i+/KqBAUliS+0WHHSjdAcvmv73H6wYPRsHOSvcTFxAerYPT6cKmpXmwmu1tGkfjFgnsa9sRIV1pW7NsP2qXtdzLSpNmRPwlwxrtK337b9jyalt8r/HINEQcmY6uIKpr77nnHlgsFtjtdsTGxuLyyy/vkmsRERERhRKbrRJlZb9Cq42XLRIOVuWh1fqFtjaGtsHA5ldpq9EytCUiImoNR6UFFiWwLEGNAbFqDLPZsb+h0tZhi8S/ftqD204YBJTvBl4cD/Ma0YLIHe7qhwxB/pZKX9YVrcMXT/2Jgl1VKMurxVHnD2rx+qIVQs3//gf893fgPHeZaG3NZiTEH9OFsw5tIR3aOs0OOBpKww9FFW078L11tla9V1yjq9x+++1ysbKCggK5LRaAy87O7rLrEREREYWKurqd+HvzrXI7I+MyDBxwd4uhrY2VtkHYHqFtPW0Fl8sJq7VUVk5HRLR+JWwiIqKeTD8oFra5Y3Hnuh2ijBFnbN2JWnuVfM1pjUWsNgcuVzYUZeJ1wFyhcr9RoYBu4CDkf7VRPlUqFUjKisLyT9zHbfo1D/3HJCB98KF/kVr4wIOo/M9/5LahrxKmSU5W2nZQSLdHUOpVUEVqW3woww9ssCz2teq9+oY/5F0gPj5ehrRHHnmkXIjsxhtvxObNXH2PiIiIqCUWq2/hDVFtezAa/0pbhrY9fiEyYfXqU7B8xUSs/eMcWfVDRETUW+yz+1oZRMP3S1CXLQaOyqdlowTRGsHlBCxV7ixMm5kJi1ODisJ6+TyhTwTi042YeGZ/7/t/fndri20SImec7Lv2onBkp96GPpm8W7wjQrrSVrQtaG/rgqbtEgItIyMDs2bNwrx58/Dll18GejhEREREQU1UWnroDhHaNuppy/YIQcFm9fyQqYBGE93m92t1iUDdNjidJhkAa9ligYiIeolcs++OcYPT9+8apy0GfWJLoFAoG0JbBeKG1MASfQzU/QajYJevNUJqtvvv3hFHpWPXnyXI31GJmjIzVn62C9MuOHibhPAJExBx3HGoWbwYikoLDN+aEXXr2C6ba28Q0pW2PUFVVRXWr1/f6LFv375mj73pppvw9ddfY+3atd0+TiIiIqKexNqo0jbhoMc16mnLStugYG2otBWBrULR9rva/PsXm80tr29BREQUiqHtkWkToSu6DaZ9F0Fbn434yIZfYpbtgFLtQsLwWqS/+BKS77pLBrMeqQPcoa1CqcDRFw+BWuf+u/jvpXnYt9VXvducxNtvg0LjruAtX7gQ1v3uhdCofRjaBtiSJUswZsyYRo8HH3yw2WOHDh2K448/Hvfdd1+3j5OIiIioJ7FaWtceQaUyQqnUHrAAFgWOQZ8GvT4Den377pjT69O822ZzfieOjIiIKDi5nC6U/3c7duf6wtcUtQGl5fGw1w5DitYJva7hl5ql7l61iEgFdEa56Q1tFUBy/yjvOaISDJjk3ybhnS2wmg7eJkG0Woi95GL3mKxWFP/fU5070V4mpNsjBLuFCxfKR1t8//33XTYeIiIiolDh3+rgUJW2CoW4BT8OFksBK22DxNix73fo/Y1DW1baEhFR6HNUW1C/tgg5E8OASBVUCsBU7au6TQ4vdt+JUlcGmBp+SR0/QH6xmOwo218rt+NSjdA3Wfdp+NQ07PqzGHnbK1FbbsGKz3Zi+j8GH3QscVdfjcrPv4CjrAw133+Pol/GIGm6O8iltmGlLRERERGFcKWtssWepp4WCaLS1iVW5qAejaEtERH1NvYys/xaYHDHfGk6LXLK6ryvJ4cXuUPbsh0Qa3SaK9VwxbgraOurLIjPiIBC4WuN4K9pm4TNy/Kx/xBtElRGI+JuuNb7vOSJp+Fy8t9X7cFKWyIiIiIKOZaGnrYaTUyLfVGHDX0aSqVGVtzK+wKpx7dX8GBoS0REvYGjzIwaNVCjcf87JlOvxVd7PoQ6wganNRHJYcXQ6VKAwu2w16uw5/tEKH5cjOi/Hkbyvffg3LvGy7YHdlvz4WpkvAGTz+qPXz/cjhFHpSGxb+QhxxN7ziwUvPE4VPtsUO21oPKzTxFz9jldMvdQxtCWiIiIiEKKy+XytjrQ6Q7eGsEjPNzXq416Pq02UQb1LpeDPW2JiKhXsJebkddQZSukaCxYUvMODOmAvS7bV2lb8YusshVcdgeU4eHe92gNamgNB7/GsCPdYW1in0MHtoJCpQLmjAIeWIv6cQ4oRqd0dIq9EtsjEBEREVFIcTjqoNPGywXGDtXPloJPadkS/PHn+diw8VqUl69o1zmUSjV0umS5bWKlLRER9QL2chNqNQrEWtyVslEuX/uCw2L3IsFQBr0+BTj6XpiH/NP7mn7IwXvTNtcmoTWBrYdx4hQU32tF5WUOmIylrX4f+TC0JSIiIqKQolYbMXnyMkw7ajNGjngl0MOhNjDV56CycjVKSv4Hi6W4w31t7fYqOBz1nThCIiKi4OxpO67cgR9+rcOuScNxeLjJ+1pWZDiMYelQqcLECqww797nfU0zcFCHrltdapILmTUnwjgE9oYC29qazR26Tm/F9ghEREREFJIUCgVUKn2Lx4lb6EWFp81ahujowxETM6FbxkcHstkqvNsabUy7zzN40ENQKDTQ65OhVOo6aXRERETBvRCZKlqHcJ0a5aYC72tHDJ6HSf1meJ9btmyVXxVhYdi4Bdj6xkq5ANm4GX0RnRjWquu5nC5sWpqHlZ/vwoBxiTj6oiEHHGOMGOrdrqndIr86rVYotdoOzLR3YaUtEREREfVqdXU7sG3bvdi951lUVKwM9HB6NatfaKvVxLb7POHh2QgL68PAloiIQp6z3gaX2V3tqo51/7J6f81+7+tpRt8CnY6qKtjy3K2D9IMGoWBnFWrKzdj2eyGUqtYvxlpfbcWqL3bBbnFgy4oC5GxyryXgT7Sq8rSpqq3ejIpPP8WuY45F/Z/rOjDb3oWhLRERERH1ahptnHfbajvwhw7qPjabrwefpgOhLRERUW+rshXUce6VxNbl7/buc9ka7lzZtxrmd3z9bLWDh6JwV5XcNsboENnw3tYIj9Zh8sxs7/Nf3tsKS72t2RYJcly/VaPw7ntgLylB0WOPweV0996lQ2NoS0REREQhJS//P9i46QZs2/4gTCZfpcnBaDV+oa2VoW0g2az+oW372yMQERH1FgqtEobDEnHjlAjcG+/AO3mlyK9zV9O6nGo4bBHuA3NWwrzyW+/76tKGwW5zh6eiPUJbDZ2Sioyh7l+w1lVasPyTHQdtkWAa64SqX6rcNm/ciOqvv27PVHsdhrZEREREFFKqqv5EcfG32L//HTgcdS0er9X6KjoZ2gaWtaHSVrQ1kAumtJPDYUZ+/sfYtftp7N//fieOkIiIKLhoksLhPL0fVoYD/3WY8W1JJWodJfI1py0GpuK7UF29ESjdAUuFxvu+Cq2vbUJ7QluxdsD0CwdDq1fJ51tXFWLvxtJmK20NxkyEXXeqd3/xU0/DWc+FQlvC0DaASkpKcM011yAzMxM6nQ7Jyck44YQT8OuvvyI+Ph6PP/54s+976KGHkJSUBJvNhoULF8r/UMRDqVQiJSUFs2bNQm5ubrfPh4iIiCgYWK3uH1QETy+1QxEBoVrtrkKxsT1CUCxEJqpsxb9vO2LL1nnYu/dFFBZ90UmjIyIiCk65Jqt3O1ltgkvhfq60R8Jauxgulw0o2wFbvTtghUqF4ipNh0JbISJWj8nnDGjUJsFc52uTEB9/DI6auh6TJv6C9Bk3wzh9utxvLy5G2etvtOuavQlD2wCaOXMm1q1bh7fffhvbt2/HV199hWnTpqGqqgoXXngh3nrrrQPe43K5ZFB78cUXQ6Nx/wcWGRmJgoIC5OXl4dNPP8W2bdtwzjnnBGBGRERERIFntbirPBQKFTSa1v0QomlokcBK28AR/871hbYd62erUum931OzOb9TxkdERBSscs2+0DYGNjjq+8Bpi0A43Aty6vSpQOl29Dm6DAMuBDLefBMFu2vka4YIDaKT2n93y5BJKcgc5v57u77K2qhNgkpl8P5iXEicezugVsvtsjfegC2ff0cfCkPbAKmsrMSyZcvwxBNPYPr06ejTpw8mTJiAefPm4bTTTsOcOXNkkLt8+fJG7xNVuLt375ave4gqBFGlK6psJ02aJF9bvXo1qqurAzAzIiIiosCyWt2hrVYTD4Widf/c1TYsRma3V8Pp9P3gQ93Hbq+By+Ve/VrbCYuQGfTu2z4tliJ+T4mIKGS5bM5GlbbxzgTU51yDup13Y4AjGwqFGjq7EjC5fzGqzhgAc9oQWE3uv3NTsqM7dHeLt02CwR3GbvutEHs2NG6T4KHLykLsP/7hHrfFguKnn2n3dXsDhrYBYjQa5eOLL76AxWI54PURI0Zg/PjxePPNNxvtF9W3IpgdPHhws+ctLi7G559/DpVKJR9EREREvYnL5YTV1hDaauNb/T5PaOvfV5W6l/ihr3+/fyIj41IkJBzX4fPpG0JbwAWLpbDD5yMiIgrGwDbvvhXY+ptv4VV7ra89QUp4MXS6ZChKd/neFD8A+TuqvE9Ts9vXGsGfMUaPKedkN2zroNEePG6Mv/YaqKLd16xetAj169Z1+Pqhyh2Dh6iVK1di1apVLR4nKlQvuOCCRvs++OAD2XKgJRMnTpQhalup1WrZ5uCKK67AK6+8grFjx+Koo47Ceeedh5EjR8pjRMXsbbfdhn/9618y4K2pqcF///tf+dyfaKcgXhe3lNU3NHK+8cYbER4e3uZxEREREfVkNlslXC6H3NbqWh/a+t+Ob7OWQa9L7pLx0cGJ2yf79r22086nF7eCNjCZ82AwZHbauYmIiIKBvcIsfjeJPLXLu6+mylcYmBxWDL0uRfaz9YofiMJNVR3uZ9vU4IkpsJod8quuoepWqK3dhtx9b6K2ZgtS085DetoFiL/xBhTNf0i+Xvr888hsUrBIvaDSVlSwiqCzpYcn6PQn9rXmvc1Vybalp21+fr7sZXviiSdiyZIlMrwVYa5w/vnnw+Fw4OOPP5bP//Of/8jFxsRCY/4iIiKwfv16rF27Fk899ZQ8xyOPPNLucRERERH1lkXIPMIMmQgPH4iYmImh/k/kXsNXaSv62uYFdCxERERdwV5ull/zDO5/u0SolMgr82VcyeFF7l9ilm5H4R9RKPwjEpV/lODoiwdj5tzDMOmsbMSlGzvtjplRR2c0CmwFh6MeBQX/RU3t36ip3ij3xZx7LnQDByL6nHOQumBBp1w/FIV0pa1Op5OBZkvCwsKa3dea94prdIRer8dxxx0nH/feey8uv/xy3H///Zg9e7ZcYOzss8+WLREuu+wy+fXcc8+VVbX+RJCbne0uQx8yZAh27dqFa665Bu+++26HxkZERETUU/vZtrU9Qp8+V8kHhWpoy4VOiIgo9NjLTBD3FxXq3T1pMw1arDY/AEOmHS5rIuINZXIRMlfJGlTtMcBpV0JT8yOir70Hyf2i5KMriTvC9doBItKV7YpqarfI/Qq1Gn0/+RjKDmZqoS6kQ1vRtqA9rQuEpu0SusvQoUNln1sP0SJh2rRpWLRokWz38OSTT7Z4jjvvvBP9+/fHLbfcIqtuiYiIiHqL9oa2FHg2m1hE1wW1OrJDC6J4sNKWiIhCnaPcjBK9Ag6l++/NDJ0GZdo9UGvs0OvLoFY6ZaWtLXwknPYN8hjdsOHdMraacjOWvLcVunANIoZlob5+N+rqtsHptEOpVDOwbQXe+xUgZWVlOProo/Hee+9hw4YN2LNnDz755BMsWLAAp59+uve4qVOnyiraiy++WC4+1poQOiMjA2eeeSbuu+++Lp4FERERUXAxGPogPf1iJCaeDGP4oEAPh9pgb85LWLpsLH5ZMgiVlWs7fD6GtkREFOrsZWZoncCVOy04NzYKY8OtcLjs8rXscPfCqqKnrVl/mPc9+iFDunxcTocTnz/1J3I3l2PHmiKYi45273daZXhLrcPQNkBEi4PDDz8czzzzjAxmhw8fLtsjiIXJXnjhBe9xospAtEaoqKiQX1tLVNl+8803WL16dRfNgIiIiCj4REWNxqCB92PE8OcRG9u+O64oMGy2CvlVLCQnFiXrKI0mEhERwxAbMwVRUbz7jIiIQo+93IRYqwtX5tjw3Ii+mGI0eV/rn3AE+vS5BkbjIJi3bPXu/7N2MNb9kIviHHGHS9dQqpQ4/LR+3uc7fz0Mdou71WdtQ4sEapnCJRpMdKPq6mpERUWhqqpK9mwlIiIiIgo0u70OmzZdD6utTFboDh3acksq6lx/bbgSpaU/ye0pU36Hju0tiIiIDsrldCHvvhWA3QV1ogHJt47D17u+xl3L75Kvzx0/FxcNvUhu5155JeqWLoNZF4OVEx+W+9IGRuOMW7vul5oibvz25Y3Yu8HduioiYzXSJr6GzMzLMSB7Hnqz6lZmo6y0JSIiIqJeT6XSo6x8OWpq/kZt3Y5AD6dXslrdt3EKGnXXLoxCRETU0zlrrDKwFdSxBvn17+I93tfTjA1tgiw1sDRU2laljPC+njIgukvHJ+4cn/aPQdCFuZfTqtk3AdX7x6K2hpW2rcXQloiIiIhCqmK2PTeSKRQqaDQxcttmLeuCkVFLbDZ3aCsWIlMqNYEeDhERUdD3sxUKxUJkse5Fvb7Zstn7eow2yX3cx7fAXlIit2tSR3pfT+3i0FYIj9Jh6nkDvc+L/vgHKkpz2/Vvtd6IoS0RERERhYyVq6Zjya9DsXbt2W1+r1YbJ7+KFgn8YSJwPW094Xln4/eUiIhCiSbdiMTrRuPyaZEYFVGLo1dvRbWtyPt6epgGTqcN5q3bvPsqwvrIr0qlAslZ3XNXy4DxScga5W555LBEYv/qk2Cx+sZJB8fQloiIiIhCgljASgR/YmVisd3e0NbptMDhqOuCEdLBiB8q7Xb3gihaTWynnbey6g+sXnMali4bh5zcVzvtvERERIGm1KrgSgtHkcspn6sdLtiV7v6xCqcOG9aehO3bH4R5T77cZ9UYUWMPk9sJfSKg0am6ZZyiTcJRFwyC1uD+5WnNvvHI3WDvlmv3dAxtiYiIiCiEeqK6f3DRtmMRK60mzu9cbJHQnWy2Su+2Rtt5oa0CKtmnWIT5ZnNep52XiIgoGOSZbfDcRxJjdUChcf8CVO/Sy69hiEJ4XBXihtbAPGhYt7ZGaNom4agLfNcv3mPq1uv3VO5uwEREREREPZzV6u7X1t7QVtNQaSvYbCK0dd9CSN3Xz7az2yPo9Q2LsAAMbYmIKOTkmi3ebV29Heb8c6HUlGNo/HYABQg3uWCIs8nHNsORwJ7AhLbCgHFJKNhRhczhccga2fZ/p/VGDG2JiIiIKCRYre5bAttdaesX2rLSNjD9bDu7PYL4niqVWtkyg6EtERGFktqV+diltXmfK+pdsFePltsTMnbKr/o692JlQn5VSsOBQEr/7uln21ybBGo9hrZEREREFHqVtrqENr+f7RECJzJyNA6f8J0Mb3W6xE47r0KhhE6XCpNpL8zmfLkYmfihkYiIqCdzmu2o/GoXtg/QAv10cl99tdX7ekq4e6EvbbX7ThaLMwyl5e6WCXFpRujCNAEZt8NhQV3ddtTWbkFi4gyo1eEBGUdPwdCWiIiIiEJCp1bayvYI1F1UKj2MxoFdcm693h3aisXl7PYqaDTdf0soERFRZ7KXuSto8w2+parKKtz7VAoH4g3i3zEKOHfvgaVaDYQ5Me2sROTnKRCd6F6MLBC275iP/PyP5LbBkIXibenI216J6RcN5i9Vm8HQloiIiIhCgqVRaNv2Stvw8AHo2+daGd5GRR3WyaOjQGnc1zafoS0REfV49nL3Ql55Ye7QVuFyIb92J5RaBRJ1DqiUTuh0ySj/eRcqNydCoXKh/wVKDDt+aEDHHWH0XX/5R4XI/atGbqcPicHA8ckBHFlw8kXy1O1mz54tf5Nw9dVXH/DaddddJ18Tx3iOPeOMMw56rr59+8rjxSM8PBxjx47FJ5980qXjJyIiIgrW9gi6dlTahoX1Rf/+/0RGxmxERo7o5NFRoHAxMiIiCt1KW3d1aqJLCWXC5wjv/wxq0/8FqxMwaJJgLnQf53IooO0T+AVWIyKGeLcj09x9d6MSDYiMMwRwVMGLoW2AZWRk4KOPPoLJ5P4tiWA2m/HBBx8gMzOzTeeaP38+CgoKsG7dOowfPx6zZs3CypUru2DURERERKHXHoECp7T0Z+QX/Fd+dTp9K2F3BoM+1bvN0JaIiEKBo9yMehVQqXXHelkxYUiOq5fbYQoFxG6tNgWWOnfPWG1aIpThge8fGx4uFiJzB82GlF9xzCVDMOueCUju1/0Lo/UEDG0DTFTEiuD2s88+8+4T2yKwHTNmTJvOFRERgeTkZAwcOBAvvvgiDAYDvv766y4YNREREVHwGTzoIYwZ/Q6GDX0GKpUx0MOhNti3byG2bLkDf224Ak6nbyGVrmiPQERE1NPZy80wOIDFP9fi22H9cGdWHEpM7juOEjUO+VVXZoTLYkW9IQFVw06A1WwP8KghFx4TdzYJdXXbMPDwBGi0qkAPK2gxtA0Cl112Gd566y3v8zfffBOXXnpph86pVquh0WhgtXbuP3qJiIiIglVYWBZiYycjOfm0di9mIao8zeYC1NRs6fTx0cFZbe7VrRUKTacH7qJX8YAB92DkiJeRnn5hp56biIgoEOxlJlmvGqtSYWxiJJKV1d7XBqeehMmTliG2cqR8XpQ4HqusR+D1W5dhzwbfXUmBYjS6WySIX9LWm/YEejhBLaQXIsvNfQO5+95s8biIiGEYNfLVRvv+2nAlamr+bvG9mRmXITNzTofGeeGFF2LevHnIycmRz1esWCFbJixZsqRd5xNB7VNPPYWqqiocffTRHRobERERUW+y9o9ZqKnZKGsbjp6+FQoFqz+6g81WIb9qNDGdvnq0WFguM6NjBRFERETBwmV3wlHpbiWkjtPLr3m1vvY/6REZ0OtTUbXTva8yur/7fU4X4tIC3yJBLEZWXPyt3K6t2QJj+IBADylohXRoa7fXwmIpbPE4nS7lgH1Wa3mr3iuu0VEJCQmYMWMGFi5cCJfLJbfj49veh+2OO+7APffcI3viGo1GPP744/JcRERERNT6gM/NCZut0u85dRXx719bQ6WtVhMT6OEQEREFNbsIbF1oFNq+vHy19/U0o7stkPn3H+FUqFAV2U8+N8bqgmLBL6PfYmQ1tZuRjNMCOp5gFtKhrVpthE6X3OJxWm1ss/ta815xjc5qkXD99dfLbdGPtj1uv/12zJ49Wwa2SUlJnV6lQERERBSsLJZilJcvlwuQhYdnywqT9tBqfCGt1VrG0LYbOBz13j62mmb+XU5EREQ+LqsDmnQjPtHY4EhQIGN/KVbv3wVdQ+1fqjEVLqcTll25qInIglOlde/PjkYwEJW2HqLSlnppaCvaFrS3dUHTdgld7cQTT5RtDUTQesIJJ7TrHKI6Nzs7u9PHRkRERBTsRFurzVtul9tZfW9Ev343tes8/iGtp/qTupb/5yzaI3TNNSpRX78XZks+YqKPaLZog4iIqCfQphqRdP0YfLZ6KzbXmaH5Yw/Cte42Q4Kj/DsU5K6Gw6JAZaIvI0odEByhrVabAI0mDiqlDjpdUqCHE9RCOrTtSVQqFbZs2eLdbo7oUbt+/fpG++Li4pCRkdEtYyQiIiIKVlarb2ENrS6h3efRaBtX2lL39bMVNJquCVNzcl9HTs7Lcnv0qLcQFze1S65DRETUXa2Fcs3uu1RirS7YNA2/AHUB9UUfoHxbLLRaJyqjgi+0FcWKkyctgUoVFuihBD2GtkEkMjLykK+LhcnGjBnTaN+cOXPw+uuvd/HIiIiIiIKb1Vri3e5IS4NG7RFsDG27g9Wv0lbbRaGtf7sMs9m3WAsREVFPVGl3oNbhlNvhJieqVCa5HaZQQa0AIlLDkX7GTvxa7O5na4jQIDopeEJSBratw9A2gMTCY4fyxRdfNDr2UMfv3bu3U8dGRERE1JNY/Cptddr2V9r6B76stO0eNqtfewRt17RHMOjdi7IIDG2JiKin81TZCoo6O+pybgOUJlw54Um5z2hyocKRCSvC5fOU7Giue9QDMbQlIiIiohCrtG1YiaOjPW0Z2nYLhUINg6GPbJPQdZW2/qFtfpdcg4iIqDvaIhQ9+yc2pWiAhnawlhoR4CqgRhgGGd0th/R1Zuyy+hb8CpZFyA42JwbKzWNoS0REREQ9nn9VbEdC20Y9bdkeoVskJ58mH13Jvz2CiZW2RETUQzlrbLAX1SPHIEJbvUg8UVlllq+lRdmhUrpbJuhqKqBRmBGnyUGZvU/Q9LP1t337Q6iqXgen04rDJywK9HCCEkNbIiIiIgqZSluVKrxDfdL8Kz3ZHiF0iD8TYpEzm62c7RGIiKjHspe7e9fmG5Tyq8LkgN3hktvpkXXyq3YnkPe5HbExa3H6mHwobl8OrSH44j8R2FZX/yWrhO32WqjVxkAPKegE33eNiIiIiKiNrA09bTtSZSsolVqMH/eFbJMgQj4KHaLaVoS2FksRnE4blEpNoIdERETUJvYyc+PQts4OTdQaKPX5MIc7UesAMnYC9cU6+dANiUd0eHD+fWc0DmkIbV2orduG6KjDAj2koOP+LhMRERER9VAOhwV2e7Xc1nZgETKPyMgRMuBTqfSdMDoKFr6+tk4Z3BIREfU09nJ3aJtncPeA1erV6JORA23sKmx3/Q6rSwFVni/q0w3x9bUNNhFG39hqa7YEdCzBipW2RERERNSj2R01MOgzYbGWdLjSlrrfpr9vhsNhkkH5oIH3d9l1Gi9GlgeDIb3LrkW9j8tqhWXPHuiys6FQqQI9HCIKUY4yd3uEYVVORMaHwRAVDl1eLYrK3VWZUSoXlIU62FUaqGGHbtZDCFbGiMHe7ZrazQEdS7BiaEtEREREPZpOG49Jk36R2+K2d+pZysuXw2argF6f0cWhbaq3GtvhqO+y61DvVPDAg6j67DOEHzUVGa+8wpXQiahLK23nbzIjbdZYKDQqTNrq7tUerwtDUuQEqApXYdW4u6DUqFDyRS6mnjcQwcgYPkj2s5XtEVhp2yyGtkREREQUMjqjT2l19UZUVa+HzVqGlJRzYDD4KjSpc7lcDthslXJbq+3aHsJpqechLfUCqFS6Lr0O9T4uux27Vu5Fzphbkb55CaK++gpRp58e6GERUQj3tFVGamVgW22tRo2tRu7LihmBgYZbsFV9BcwG951H5QW1CFZi4bHk5NOh1cQhInJEoIcTlBjaEhERERH5KS39CXv2Pi+3o6LGMLTtQu7A1r3qtUYT06XXUqkMXXp+6r2se/ZgW98zYdHHoiqqPxKeegzGY46BysiV0Imo8zgtdjjr3HcUqWP1sDmc2F6W4309LSINli1bUBmV7d2Xmh2NYDZs6FOBHkJQ40JkRERERER+NNo477bVWhbQsYQ60RbBo6tDW6KuUvnXVhnYeuzXDULpiy8FdExEFLpVtp7QdnN+Nc5781vvvtTwVJg3rUNltC+0TRkQ3KEtHRpD2wCaPXu27HUkHhqNBllZWZg7dy7MZt9/iJ7X/R9Tpkxp1fnFsV988UWzry1ZsqTRORMSEnDyySdj48aNnTY/IiIiou6Qm/smNmy8Flu33Q+LpajD59P6h7Y2hrZdyWot925rNV3bHoGoq9h3bEPWnq+9z/P6n4io888P6JiIKPSoIrWIOXsAnjo2Dicn23DL2t1QaCoaVdqaN23wVtoqFU4kZ0UFcMTUUQxtA+zEE09EQUEBdu/ejWeeeQb//ve/cf/9jRdgeOutt+QxnsdXX33Vadfftm2bPOf//vc/WCwWzJgxA1artdPOT0RERNTVKqvWoqTkf8jLe0/2SO0o0VvNg5W23Vlp2/Wh7f7972Pz5tuxbt3FcLmcXX496h3s2/9GVs73iCvbJJ+bEIb9JeydTESdS2XUInxcMnLjtNjrsGN7SS2UGt8vP4u3zUPV3kLUhyfL5wnxFmh0qgCOmDqKoW2A6XQ6JCcnIyMjA2eccQaOPfZYLF68uNEx0dHR8hjPIza28/5Bm5iYKM85duxY3Hzzzdi3bx+2bt3aaecnIiIi6mpWa2mzVbLt5X8OsRgZdR2bza/StosXIhNKy35GQeFnKK9YwUCeOo1lx075Na38J+++v37KDeCIiCiU5ZrdhXbaejuUfpW20QoTao9M9z5PzWIv956OoW0Q2bRpE1auXAmtVtvt166qqsJHH30ktwNxfSIiIqL2slpL5Fe1OhJKZcer2/wrPtkeoWtZ/ULb7uhpq9f7FpUzm/O6/HrUO/Rb/C1K7rABp/0NXdR+ua9wdzUK91TBWV8Pp8kU6CESUYiwO13It7hDW3W9A/a6bDiqR6K/XocIjQt1Yf29x6YOTQ3gSKkzqBHCXsktxr/3u/8RfygjjAa8M7Jfo30Xb9iNjbUt/+V6VXoCrs5MbPcYFy1aBKPRCLvdLtsTKJVKvPDCC42OOf/886FS+Ura33vvPVmV2xnS092/hamrq5NfTzvtNAwePLhTzk1ERETUHTwVk1ptQqecT6OJbqhtcLIaM8QWItPrUhuFtlFRo7v8mhTaHDYntq3LQV1sAjSZJYgJ/xGFa2fL19a+txqDfnoUUaedhsRbbwn0UImoh7PsrkK+XgGHC4DLBXutDU7nFPTRGHFLyk2w24GS2iENRzuRMjwrwCOmjgrp0LbG4UCBxdbicak6zQH7ymz2Vr1XXKMjpk+fjpdfflmGpqKnrVqtxsyZMxsdI/aLtgkeKSkp6CzLli1DWFgYfvvtNzz66KN45ZVXOu3cRERERF3N4aiHw+H+5bNWG98p51QolPJWfdF2gaFt14qNmQQFlDK89a+C7Sp6fePQlqijygvqsOSdYgCPIKrvciQd9j4qt14Kc60LxTsr0Le4FGVvvYWoM8+ALosBChG1j8vhRMnrG/BXtAoYHwaFyQGnU6S3QFacDnZ7DVxWDaqs7r/n4g1F0BnZW7tXhbZ9+/ZFTk7OAfuvvfZavPjiiwg2ESoVUpoJZJuK06ib3dea94prdER4eDiys90r+7355psYNWoU3njjDcyZM8d7jOg56zmms2VlZcmeuYMGDUJxcTFmzZqFpUuXdsm1iIiIiLq2n23nhLbyXJo4eW6brQwulwsKhaLTzk0+8fFHy0d30Rv82iNY8rvtuhS6SvbVeLd1UflQquwYebwL0bHDELH0Q1T8bhcFbyh69DFkvPpv/n8JEbWLo9Ii/78kz+D+/xBFnd37WmaMu5gwar0VF4XNRoUuC46+xwRsrBSg0HbNmjVw+FWWih6sxx13HM455xwEI9G2oL2tC5q2S+gOojXCXXfdhVtvvRUXXHABDIbubRp93XXX4bHHHsPnn3+OM888s1uvTURERNQeloZ+tp0d2oaHDwAUKrkomdNphUrFapVQ0LinLUNb6rjcz34W927KbV30Pvk1dVgR0tKOhnPolaj5+ivYCwpQt2wZan/5BRFHd98vKYgodNjLzfJrvkHpC20VNsClRHpkPZQVgHGhDjnQITylCJnHGwM8Yur2hcgSEhJk1afnIfqx9u/fH0cddVSnDIYgA3DRv7azKpf37NmD9evXN3p4+tc2JdokXHHFFbj//vtlRQkRERFRT6q01XVST1th+PDncPiErzFm9EIGtiFEp02EQuG+m47tEaijHFVVKMvz/WylbwhtPb9MUoaFIemOO7yvi2pbp9kdvBARtYW9rGloa4M2dgWMg+/Fwvz5KN7tuwtcF2kH4gcEbKwUoNDWn9VqlQtiXXbZZbzFoxOJnrbXX389FixYcNBwtS1E1e6YMWMaPdatW3fQ48W1t2zZgk8++aTD1yYiIiLqalaLf3uEzgttqXtYreVwuTq2RkRb+xXrde71IRjaUkeZtmxFrdFdva1X1EGlc//8ZrdXe4+JOOF4uCYeCxcUsO3fj7LX3wjYeImo57KXm+TXvIbQ1j4oCieM1kKhcKLcVolov5tH9FPPANLHB2qoFAwLkX3xxReorKzE7NnulTEPxmKxyIdHdbX7LzCn0ykfggh9xUNUd/pXeLa03/P+9u4X7Qianrut+9s7drFP9LD1fBb+Y5w7d658+L/Wnjn5t7Jobuzi9ab709LSZCDf3jmF4veJc+KcOCfOiXPinDin4J1TWNgApKdfCpu1FOHh2SExp5b2h8qcHA4Tli0XP1QqER8/HSNH/Ltb5qTTp8JkzpWLtoiHSmXk94lzatecytZvh13tDm21ul3yz9KUyb9DqdTK65Tuq8Wab/Zir+5MjEwsQXzxXyh77TVEnn4adBkZQTmnjn4/OCfOiXPqmjl5Km1v3mZG2cx+KNcq8Pd2X4sodVE/bBx2HKIrdyLuyKvhjMqAoqEnf7DOKRS/T60de9PXOj20FYtlnXTSSUhN9a3A2hzRI/XBBx88YH9JSQnMDbeGiN6tUVFRMtA1mdy/PfAs0hUREYGKigoZJHpERkbKW/nLy8tht/uaL8fExECn08lz+39gcXFxsuWAWGjLX2Jiogwuy8p8qwKLDzApKUleT1zXvwI2Pj5ejs8TPAtarRaxsbGora1tVBnLOXFOnBPnxDlxTpwT58Q5dcecMhEVeXmIzSkUv08HzslqK2zY64QCavn+7piTTnsYoqPjER6eKcfG7xPn1N455W3aL8pe5Gu6uH2IiBiH0tJK7/FlBRbs3eC+G2D/qHMQv/gvuCwW5D/yCLJeeSUo5xSK3yfOiXMKhTnZi9yLHo6scUEXrYbD6cDsqlz3eVR6WK0TUJIwRj6iShVwFhcH/ZxC8fvU2jn5X/dQFK6mcXMr5OTkoF+/fvjss89w+umnt7nSNiMjQ05KTEQOgkl8m8cuwnDxaM6RRx6Jb775psfNKRS/T5wT58Q5cU6cE+fEOfXMOVVXb8Ku3U/Cai1DasrZyMy8tMfPKdi+TzU1f2PtH2fI/Wmp52PQoId6/JzaO3bOqWfOafFFj2NnxBFyf+qElzFsyihkZ9/lO9gFfDh/NSqL6uXTI3a+hLD9f0MRZkD/RYugTkkJujmF4veJc+KcevqcxKPwwd/gsjqhitMj6Z+HwelyYsIHE2Bz2jDU0A+nf3oiKmIGyfdf+NARiIjTB/WcQvH71Jaxi2xUhLhVVVXebLTTKm3feustmWLPmDGjxWNFiiweTYkPSDyam0BTB9vf9P3t2d/Wa3b1/taO/ZprrsGsWbOaPVb8FiCY5tqbv0+H2s85cU7t2c85cU6cE+d0qP2cU+fNCbCjomKFfC5upQ+FOQXb98lu91UkarSxITGnYBk759T1c3LZbKi0hnn36eP2ISzs9APOP3J6OpZ+tF1uFx91BUZWLkbi3NuhSUrynitY5hSK3yfOiXMKhTk5aq0ysBXUsXqs21eJn3bskIGtMLIiGlWRWXLboKhDVKRDTCSo5xSK36e2jP1gr3U4tBWJsAhtL7nkEllSTIEhSrbFg4iIiKg3s9mqoFZHNvuP5Y7QauO826LaljqfzVbu3dZoYgI6FqK2suzYAZXdArW9Hk6VEhpjKerr92DXrqdgsRYju/9c+f8jgyem4PevdsNSb8feIi2mPvIINFEHFjURER2Mo9oKhUaJXVqgOkmD3zYW4MM/1iKsr/v1zPx4VKu0cjvJug5YXwAcfmVgB02dos2p648//ojc3FxcdtllnTMCIiIiIqJ2ELeiLV8xES6XA9HR4zF2zHuddm6Nxhfa2hjadgmrX2ir1XR/MYJYCM1ur4ZO5654JGoLy9atGLZloeiAgLIzw2BVuFBXtwPlDRX66Wn/kKGtRqfCsCNT8ef/cuG0u7BpaR4OP7VfoIdPRD2INtWI1PmT8PqW/Xi5qAya9WXQaXw9WnUFYWJNTylV9zcQPyVwg6VO1bp6XD/HH3+8/AfywIEDO3ckRERERERt4HDUwum0wOUSizx0bqWtShUGpVIvt602hrZdwWb1r7TtvtDW6bRj6bIJWPLrcGzYeE23XZdCi3nzFvlV/j9PZhUUChUio0Z7X7dYfIvkDD8qHQql+/+j/l6aB7vNIbcdNTWo/PyL7h46EfVA4o6ifU73olaKOjuUWt/foXWueO92ZuQmIJ55XahgfwMiIiIi6pGsVveq7IJOm9DpPxyJKjmzOY/tEbqIzearEtJou689glKphlLh/jFIfH+J2iNswgQ46+tQuuZL2DJc0OvT5MNDtEjwiIjVI3tsAnasLYapxobtq4uQXrMBhQ89DEdZGTQpKQg/4vAAzYSIeopcs1XcZgRFvR3KCHdoq3ApUK/rL1rxQ6+oQqyxHIhIDfRQKVCVtkREREREwcBiKfFua7W+KpPOom1okSDCRdGCgTqX1S+07e72CHp9qjf4dzgs3XptCg2RJxyP+AdvQ8ldFrjCxGLQfaDTJnpft/pV2gqjjsn0bm/4eR8cNbUysBWKHnlYLmxGRHQo+0xWKEwOKJyApfhEDMOduDbuWMDuXhQxTfs3FPHZjRYho56N30kiIiIi6pGsttIuDW013sXIXI2qQqnnL0TWqCLSkt+t16bQ8NW/1mPR81tQunGWKHyDwZAJnc4X2losRY2OT8qKRHK/KPn1sJP6IurMM6EfMcJ97I6dKH///W6fAxH1DOUfb8P+RbtQYXfI1giCyxGBMUmHoU+Vr6o2RbsZiB8QwJFSZ2N7BCIiIiLqkaxdXWnrDW1FRWZZl1yjNxs65AnZ91ME4iqVIWChrcmch7CwrG69PvVsDocTedsr5MJi0cmn4cgjbwVcTticvmMsVt//P3mccsMo6Ay+H8GT77sXe8+dJW93Ln3+BUTNmAF1Que2eiGins1pdaD+z2LsMCqByeHe0FboFx+OcPV69Bu4EcrcfkjXbgTiLgjoeKlzsdI2gGbPni37pTV96PX6Zvf7P5YsWXLIcy9cuBDR0dGturZGo0FWVhbmzp0Ls9ncBTMlIiIi6tqettpO7mnr3x7BfS32te1sojIxOnocEhKO6/Zr+4e27GtLbVX6114Z2AoJ6UbotPF4ZVkVRj20Fl/umtFsewTBP7AVDCNGIPrsmXLbWVeH4v97qlvGT0Q9h6PcndHkGdzxnaLO10qlX4IREQv/QtbiFRiz9zXEqnJZaRtiWGkbYCeeeCLeeuutRvtEkOoS99g0uOmmm1BdXd3ouNjY2E67ts1mwx9//IFLLrlEXvuJJ57o8LmJiIiIuje07fwq2NjYyVAqddBoYxEW1rfTz0+B4+lpKzC0pbba9cqHgHKi3I6NV8PpdOGVX3dhUv84pBndAYvF2rg9wsEk3Horqn9YDGdVFaq+/BLRs85F2NixXTp+Iuo57GXu/0/JD1PIr6LSVqEphTp8J4osamRutsFVr0GVXonE0TUMbUMMQ9sA0+l0SE5OPuQxBoMBFoulxeM6cu2MjAwce+yxWLx4MUNbIiIi6nmhrS6hS0Jb8aDQw0pb6ojychfQ8HuihAHx2FNWB5PNgWU7SmFOGYVxCT/J6nyn0w6l8sAfuUWBTv72Smz8dT+mXTAYCTfdiKL5D8nXCh96GFn//QQKlaq7p0VEQchebpJf8xsqbV2RWqRGFqI67Ass+P5zvFzvDnO1caI/iwKIyw7oeKlzsT0CSZs2bcLKlSuh1WoDPRQiIiKiVvH1jFRC280LWVHHiD62+fkfo6RkMerqdgc4tOVCZNR69tJSVKt8dz1WWV/D0k2Lvc+HpeoQF3cUUlPOgdNpafYcf/4vB188sw67/izB38vzEDNrFnRDhsjXLFu2oPLjj7thJkTUE9gb2iPYFYBOoYB9cBROGaeX+8bkjkBF9AA4lBqYJx8G3JUPaMMDPGLqTCFdafv6st14fdmeFo8bnhaJ1y8Z32jf5W+vwaa86hbfe/mRWbj8yH7tHuOiRYtgNBob7bvrrrvko6t5rm2322Ulr1KpxAsvvNDl1yUiIiLqDMOHPStXaLfZK6FQsCqtJ6mr24UtW+fJ7YyMSzFwwD3den21OhxqdTTs9kpW2lKbmDZvQW24O/TXoAolFa9j7Z5rALhD1+mjTsfogZfDbHNArW7+/5eyD0vEb1/uBlzAxl/2Y/SxmUi+9x7kXPAPKCMioNBounVORBS8bIV18uudWyx49qxRKNMq8czq/8h9WTVnYd3oOKjt9Th24G+ANizAo6XOFtKhbY3ZjsLqlhfWSol2/5bCX1mdtVXvFdfoiOnTp+Pll19utK8z+tW25dp1dXV45plnoFarMXOmuxE+ERERUbATfWa7utesw2GStzm7XDaEhWV16bV6W6WthyZAVdIjhv8Lak0UDH5Vt0QtqdiwAzat+/939Pr98uvuSl+P5JQoPR75ZjM+Xrsf3950JNKiDQecIyohDFkj47Hnr1LUVVmx849iDDp8LFIefgjGadOgju/8Ht1E1PO4nC7Y8mrltipaB3WEDkkACmrzYbTEQKVwL5hqrNmHtMmXBHi01BVCOrSN0KuRHHlgINtUXLi22X2tea+4RkeEh4cjOzswPUf8r/3mm29i1KhReOONNzBnzpyAjIeIiIgomDidNiz5dbjcjooai3GHfRLoIYUMq63cu63VdE/BQlPsV0ztUbKjGIA7tNXF7YPDqcTuigj5PCPWgEV/5eO1hrs9X/11Fx483f3/IU2NPjZDhrbChp/3YeCEJESffXa3zYOIgp+9pB4uq+hVC2jTjXLRQ6VSgf21+5FS3d97XEx9DnR9fM8pdIR0aCvaFrS3dUHTdgmhTrRGEC0Zbr31VlxwwQVy8TMiIiKi3kyp1ECtjoLdXiWrbanz2Kz+lbaBCW2J2qOs0AI0FIdr0/Yhvy4ZFrt7qZiR6dGYPTkLry/fg3qrAx+u2Yfrjs5GYsSBxUAp2dGIzzCidF8tinNqULCrCqnZ0d09HSIKYtZ97ipbQZMegRs+XId1+0pRk1yC4RXTvK8lunZA8eV1wLQ7gZg+ARotdQUuRBZgopdsYWFho0dpqW8l5I5wOBxYv359o8eWLVsOevw555wDlUqFF198sVOuT0RERNRVTKb9yM//BKWlv8BsLuiy62i17lsPGdp2Lptfpa1Gy9CWegZnXR3ity3G0M0LkVmzDPr43dhblel9fVR6FAzKQhyduUY+t9qdB11jRaFQYPQxGd7nf/20r9Hr9ooKFDzwACo/+7zL5kNEwU2TGo6I6Rn4Y2QUbjCYsGJ/BQrqCgCFC+lV7spahdOBZOV64K8PACX7+4cahrYB9v333yMlJaXRY8qUKZ1y7traWowZM6bR49RTTz3o8aKn7fXXX48FCxbIPrdEREREwaqq6k9s2Xon/tpwOYqLv+uy62g17tDW4aiFw9H8SvDU0fYIgelpa7NVoqj4W+TkvoaysmUBGQP1LObt22EwlyG5eA36Ri6G1liKPdW+0HZEWjRUqnAcnfYpNEqr3Pfebzkor3NvN5U9LglhUe5WfXvWl6C61CS37WVl2H3iSaj86D8o/r//g6OqqlvmR0TBRZtqRNQJfZE7OQn/q6tDRZUZSm059DYjwuzJ8piImhwYo+oBTRgQ4euvTaGBoW0ALVy4EC6X64DH1q1bDzjuiy++aNO5Z8+e3ey5d+7cechz3nnnnSguLpb9bomIiIiCldXquzNJq+26RXs0DZW2gs3GattQWojMZMrFpk03YOfOx1Fc8n1AxkA9i23fPlEiK7ctqe5Fq3Nr3AsUit0j0qPkn+dovQlT01fJ/aJNwpvLm6+2VamVGHFUutx2uURvW/fCZuq4OIRNmii3HeXlKHn+hW6YHREFq31mKxQmBxROQKmpaNTPNlm1BYYECxDXX/R1Cug4qfPxO0pEREREPU53hbae9gjuazK07Sw2q6fSVgGNJjB9PPX6NO+22ZwXkDFQzxJ12mkYtHYNMj94GzXDK+W++dMW45OrJ+KJs0bCqFNDoVBCq03AiX1/gkrhkMe8vXIvqky2Zs85bGoqVBr3j+XlBbWy0EZImjsXioZ1Rio++ADmJoU9RNR75JqsUNTZ5bbLpULfmlHe1wakr4Mu0gHEDwzgCKmrMLTtoYYNGwaj0djs4/333w/08IiIiIi6lNVa0j2hbUN7BHlNVtp2GmtDpa0IbBWKwPTgEwugKZXuBaLM5vyAjIF6lqK91di7ox418ZFwRLrD1ZjINIzvG4tzx/v60+p0SYjVV2Jy6m/yeY3FLoPb5hiMWkydNRAz5x6G024aI3vdCpqUFMRffbX7IKcThQ897A10iSj02UrqYSuuh8vpQq7ZF9raq8ZhmHVSw1FOpGgb1i2KGxC4wVKXUXfdqakrffvtt7DZmv9tbVJSUrePh4iIiChQlbY6XUK3VNraWGnbaTSaKNknuCsD95aIcExU29bX75KVtiIQ8wRmRM3ZsiIffy9zB/wTzr8Vuti/ER01/oDjdLpE+fXkrB+xIn8yHC7gzRV7cNmULFmN29TQKc33oYy9dDYqP/sUtpxcmP74A9WLFiHqEGuUEFHoqFmyH/V/FMGlU2H/9HAo6t2hLVxAbGYE6lELhSkPOmW9e388Q9tQxNC2h+rTp0+gh0BEREQUMJaG0FahUEOtjuqWnrZsj9B5Joz/Un51uZwBHYdenypDW6fTDJutvFFIT9RU6f5a7/aow6+CVt/8j9M6rbuIJiGsDCcPM2DVXieunJoFVRt/KaDUapF8993Yd+VV8nnRggUwTp8OldHYoXkQUfCz7q+RX0uULlhdLmhqG4r2FMC08S6Uh38B/b5FcJkbWm0ztA1JbI9ARERERD220lZUaooekl2F7RG6Vld+71ob2nqwry0dSvUvS1C6x93WIzJGIwPbx7/bKhcZ+zPXvd/pcuHTwnKote5KW+GGI21Yfsd0XDm1PwzalluBiIrv4pxq73Pj1KkwHn203HaUlKL0xZe6YHZEFEycVgfsxe4K2qJUd29rZUOlbVy4Fo5FX8H58BLUv21EfbHW/aa47MANmLoMK22JiIiIqEcR1Zm2hgC1qysjIyKGYcL4r2TFrVYT26XXokAvRpaPyMiRAR0PBa+iZX/BgRFyO8ZoR73VjleX7oLTBQxLjcQbVx2BG7fkYGlFLa6LHwRPx8kwVQn0mtb1bd67sRS/f7Ubpftqcc68cUjsEyn3J901D3XLl8NltaL83XcRfe450GVlddlciSiwbHm1sg2CUJSiB+xmKCxOKLXFUKR/hP9n7yygo7j6Nv6sezbubgQI7g6lUCh9W+ru7Vt371f3vnWj7i1VWupQ3N0hnhD3ZLNZ9+/cO1kJSYiQsEm4v3PmZHZmdubOzu5m57nPff5ZP2kR1bKtNMgGV0AMeGKFP5vM6COY05bBYDAYDAaDMaCw2TRwubiq7KRKe18iFCqocCuVRILPb3GzMAapaMuctoyOqS/m3LSE4BQlDlc0UcGWMDJWjWKTBZs1XHzCh/XBKATnerNYarp8DEOThQq2hP2ryzzLxbGxCLnxRggCAxH55BMQs6g8BuOUiEYgVAWKAD4PlklhmDdRAr69CYHlWrrOFehE2bAw8Cb+14+tZfQlTLRlMBgMBoPBYAwoHA4D5PIkCATKPhdtGb1PY+MWHDhwI7KyH4JGs7PfiLYmJtoyjhNZ0NjozV+us/8Pv6x/1PN4ZGwgJgcqcVcCl2VrBw8fi59B6rAPEB19oWe7iiYTnvjtMH7a7RVkfRkyKRJSpYjOF+6phV5j8awLufEGpKz4B0EXXggen93GMxiDGatPfvbECDVuig/HgtQwDOcLcPWeF3Fw1GOoDp8AcwJQlzEKmH63X9vL6DtYPAKDwWAwGAwGY0Ahk8VjyuTVdN7tuGUMHAzGQtQ3rKXzQYGTyC2p39oik8bQXGSpNBZSqXuwKYPRGntVFZpF3g4iSeBRHC3I9DwmTlvCvYmR2KDRYW+zEWU2Cd5sGoI3IuPpusomE2a/sg42hwuxQTIsHhMDkaC1+CoUC5A5Mwa7/y6G0+nCofXlmHJuCl3Hl0pJL8NJOmMGg9EvnLZCPk5LDsXclu+KN7ZuAQlbMSiiaEEy2bBMyMLm+bexjD6FddENMJ566imMHj3a381gMBgMBoPB6BfweF3LijwRGho2oLTscxQWvkYdd4wTw2Zt9MyLxMF+L0Q2Y/oOTBi/DAnxN/q1LYz+izknB3ol58oW8a0QyjQobubEWImQj4cra3B7Vgl+qdFgybAEKFoElu+qGvFHbROdjw6UYWpKKJ0v15jw2/7Kdo+VOSsGfAEpBQ8c2VQBm7XjjilbTdejFxgMxsDAabTB0WCm8+JoBXg+nTv2Cs6JTwhsKkDsjNuQmHCTX9rJODkw0bYfsG3bNggEAixatKhP9p+YmAgej0cncpzo6Ghcf/310Gi8uUx9zfr16+nxm5q4Hy1d4ZprrsHixYu7dF5yuRwjRozAJ5980kstZjAYDAaDweAoLf0M+fnPobhkCRwO75BFRs+w2ry/QVlxN8ZAoOlgHqySQDofoDLAZJehxhhOH6dGqrBLZ8TPNRosq2lEokyC59O8sRsP5Jahwmyl83ec5q3uvmRdARzuUFwfFGoJ0sZzMQsWox2526vbbGOvr0flQw+jcN58WEtK+uCMGQxGf4hGEMep6F8SqbLmSBUk9dz3kMTcCKlFA2mwC7Aa/NZWRt/DRNt+wKeffoo77rgDGzduRGVl+z2uJ8ozzzyDqqoqlJaW4ttvv6XHuvPOOzHQcZ/X4cOHccUVV+DGG2/EP//84+9mMRgMBoPBGET4ukGt1nq/tmUwYLP5OG1FQX5tC4PRFXT5xVBrCyFwWKCIbEZxc5xnXXCozDM/Xs1Vb784MhhnhXBRBk12B+7IKobD5cL4xGBMTua+T4rqDfj7UFW7xxs117v/A2vK4DpG3NUsXQrtb7/BZbWi9rXXe/lsGQyGv522fDmXZJoVKUGe3oT/W34Yj3++HwKnyOOyFUgA4a/nAa+kkawoP7ea0Vcw0dbP6PV6/PDDD7jllluo0/aLL75otf6ll15CREQEVCoVdceazZxN3s2uXbswb948hIaGQq1WY9asWdi7d2+b45DnR0ZGIiYmBnPmzMHVV1/dZrtly5Zh+PDhkEgk1MX62muvtVpPnLlXXXUVgoKCqLN14cKFyM/P96wvKSnBf/7zH7peoVDQff39998oLi6mxySQdcQZS1y0vYH7vJKTk/HQQw8hODgYq1at6pV9MxgMBoPB6J8UHX0bBw7ehOyc/4PNx7XZV4jFIZ55q7Whz4832PG9ZiLmtGUMAMTZuzBu3+uYvfcJxM7Y44lGINhV3uHK4wM40Zbc71zr+gAhrjr6eKvWiK8que+OO09L82z/7toCml17LGHxKkSncY66phojSo60/t4JueEGCEK5qAX9unVw6JnTjsEYLMhHhyPq8cmIfGA8nnYZMGvDEVjtTsQ6vFEpgdp8SAIt4JEklZAU8qXj1zYz+g4m2vqZH3/8ERkZGRgyZAh1in722WeerDSyjmTYvvDCC9i9ezeioqKwZMmSVs/X6XRUgN28eTO2b9+OtLQ0nHnmmXR5R1RUVOCPP/7ApEmk8APHnj17cNFFF+GSSy7BoUOH6HEff/zxViIyEVpJO37//Xca6UDaSY5ls9no+ttuuw0Wi4W6eMk+Xn75ZSiVSsTFxVFBmJCbm0udsW+99Vavvo5Op5MegwjLYrG4V/fNYDAYDAajf6Ft2o36+tWorPweoCU5+haxyEe0tTHRtrcybfl8MQQCub+bg9q6ldi793Js3ToHDQ0b/d0cRj/DodXC1jIaUpoxBFbnURzVekXbSplXLBkX4H0/h8oCcQveBs/lxIUhLlwUwbnKp6SEYGw8J8jm1uiwKrumS25bX/hyOQLmz6fzLpsNhs2beulsGQxGf4B0/FjUYhw2msAz2OmyWIe3g0dpKIA0kNNhnMGJfmsno+/hPNeDla3vAtve63y7qFHAZeRHvw9LLwGqDnT+3Cm3AVNvP6FoBCLWEhYsWACtVosNGzZg9uzZePPNN6m7lkyE5557DqtXr27ltj3ttNNa7e+jjz5CYGAg3cdZZ53lWU5cqI899hgcDgd9PhFsX3/dO5SGzM+dO5cKtYT09HRkZWXhlVdeoWItcdQSsXbLli2YOnUq3YbELBBBdvny5bjwwgtp9ML5559Ps2UJxP3qhjhgCeHh4bR9vYX7vIhYbLfb6XFuuOGGXts/g8FgMBiM/ofFyrnXeDwxhEIu760vYU7bvsm0JS5bcmPqb+w2LTRN2+m8yVTq7+Yw+iHhDz4Ic3Y2JGmpKDa9g1FhakhFUjQ6J+AQjwgqPAxRSKEWeW+vJeIIDEUWXsI9WBj5KBRCroOJvOfvOC0N136xy+O2nT8sos1nIXFkKAIj5AiJUbYScN2oTp9LYxIIutVrELBgQR+/CgwG42Syu9kIotMKDHbwXECMTUKXG0U6rLlbi0eOcEY9XtgwP7eU0ZcMbqetRQfoKjufjO1kk5FlXXkuOUYPIa7TnTt34tJLL6WPhUIhLr74YirkErKzs1u5YQlTpkxp9bimpobmuBKHLYlHCAgIoJELRED15YEHHsD+/ftx8OBBrFmzhi4jcQxExHUfa9q0aa2eQx4TsZZsQ9aT9vm2JyQkhDqEyToCycglwjJ53pNPPkmP1de4z2vt2rW0bW+88QZSU70B/wwGg8FgMAYf7lxZiTj0pIh+Ih/R1sZE2xOCjNRyxyP0l2gEqdRbNMpsrvBrWxj9D35AAEKuuxYxr/wPqmvOg8NhxPSYHXhwxmE8cdVYOMB9B433cdkSxJIw+jcW5bBYa1utmz0kDJkxAXT+UIUWG/Lq2h6Xz8PFj03Agv9mIipF3Wa9fMIE8FVcp5V+wwbquGUwGIOH7U1cQTKe0Y4wBw9SF9cpJImxY6RNC76Ic97yQr2RK4zBx+B22kpUgCq68+3koe0v68pzyTF6CBFniTs0Ojq61Q9Zkin77rvvdmkfJBqhoaGBxg0kJCTQ5xJh12rlKpS6IZm3bjGTCLzExUu2W7duHU4//XT0BsThesYZZ+Cvv/7Cv//+ixdffJHm4pIia32F+7zI9NNPP1GX7/jx4zFsGOttYjAYDAZjMOJ02j2in1sU6WtYPELv4XDo4XJx4pK4nxQhk0q9v8VNTLRlHENdqQ5/LzmI0DgV4kcZPctl8gRsaja0KULm67R1Y7V4IxBKTBaUma24fU4abv5mD6LUUphtznaPLRR1HP/CE4mgnDULzX/+CadOB+OuXVC0jIhkMBgDk+b1ZbDkaSCKU2F7KPe/kt9kRbCTDwdcEICHGeNGIqLAJ8eaibaDmsEt2pLYgp5GFxwbl9DLELH2q6++oqLm/JY8IjeLFy/Gd999h6FDh2LHjh20+JcbklvrC4krIDm3JFuWUFZWhvr6zqsaCwTcDwCTyUT/kmORfR27bxKTQLYl60mbSXvc8QhELCZuYV+BlMQl3HzzzXR65JFH8PHHH1PR1p0z63b29gXk2MSpTI7722+/9dlxGAwGg8Fg+A+bjeShcu4Ssbidjvc+gMUj9C4J8TfBamuEQpGC/oBE4hVtzWYuu5TBcFNfpodBa4VB24DYjBRMnbYRJlMx/f7ZVeQVTiYcK9pKwj3zFkstNef8XKPBI3nlEPF4WD0+HW9dMhoLM6MgFvZsACyJSCCirTsigYm2DMbAxlLYBEuRFvqjWuw7IwCwOcHX2ZAjBsRxMixZOAJCRSWkh3x0lRA20ngwM7hF237Mn3/+SYtmkbxaEmvgC8mFJS7c+++/n+bJEucoiRwgGbJHjhxplRVLXLNff/013aa5uZnGBchksjbHI4XJqqur6Y8FIuw++OCDCAsL8wiw9913HyZMmIBnn32WCp+k0Bhx+7oLn5HjnHPOOTSK4cMPP4RKpcLDDz+MmJgYupxw9913Y+HChVToJedGXLxE7CUQFzAZvkjOmwjMpI2kSFlnkIxfEn/gC4llIAJte9x1113IzMykBdPIa8JgMBgMBmNwYW3JsyUw0XbgQTKIU1MfRH9CIJDQ9xKJ3WDxCAxfXFYrqvcXex6HxgWgQidETOBkSEV87G4+TJcHCQVIkXF5k24kEq/T1h2PsKJeC72Dc9XenVuGH0algN+FiBeH3YmCPbXI21GNM28ZCYGIE3kV02dQxy2JRtCtWYOIxx/rFznRDAaj+xCtxlrORSLkRohhdrnA11g86xeIGmC6+XzwkkMhIfnZUXbYFWoIxa07jBiDi8GdaduPIaIsiSU4VrB1i7ZEdCSCJykMRgTWcePGoaSkBLfcckub/RCBdOzYsbjyyitpriwp9nUsTzzxBKKiomgUAylQplAoaIQBEUAJ5Pk//vgjvv/+eyp6ku2feeYZKhq7+fzzz2k7yPNJtAL5Uvn7778hEok8LtrbbruNtpsUVSPirVv0JeLu008/TYXeiIgI3H571xzQ69evx5gxY1pNZD8dQVy/xLlM2s9gMBgMBmPw5tkSxOKTE48gEMghlydBpcrsN+5QRt/k2lqttXA6vTfJjFMbc14+KjdzwiwhJEaBSz7ajsynVuKyj3fgi8wkPJESjZviwtqIpUKhGnw+N9rQaqml618dEocoCXfvtEmjx4dlbbNs22Pjd7lY/XkWSrMakbfLG7UgUCogn8rVPOFJJbDXdm1/DAaj/+FoMMNlIoUNgYPxnBGP3+j+f+RCbNN+2KurYdt6GC49J+XZA72Z7IzBCc9FlLeTCHGDEqGSOChJ0SwGg8FgMBgMBqOrVFb9jOzsh+h8evpTiIu90t9NYgwCDh2+A7W1f9P5KZPXQC5P9HeTGP2Axh9/wo//yuEQyiAX23HGMzMw9aW1dN2MtFB8fX3rotHHsmXrLJjN5RCJgjBzxm66bLNGhwv3F9KQFxKT8Pe4NIxQyVFcb8CanFpcPz2pzX6qi7RY9r89dD4kRkkLlLlFYnNWFnhiMcQpKcxly2AMYIz7a9H4fS6df3B+MNbybBCU6jGy2YXCumrcmfsk5h7g5LvohfVQq60wj/wPpOd94+eWM/pSG2XxCAwGg8FgMBiMAYNvPIHkJDltGb2Hw2EGjycEn9+/bkN8i5GRiAQm2jIIjYePwiHkItdCIiT4d8+3AKLo41GxgZ0+n+TakvcTec87nTbw+SJMD1Lh1vhwvFdaC5vLhVuzSnBGA/DZpiI4XcDExGCMiG09GjMiKQDhiQGoLW5GQ4UeFbkaxGYE03VSVoCZwRgUuKMRCAFyEdQ2JwQpavxflQTlPB6cB6fDwd8OvsuGPfMCIBA6MWHMPX5tM6PvYfEIDL9QWlpKM207msh6BoPBYDAYjGNRB4xCfPyNiIxcTCMLGAOLoqNvYt36IdiwcSy02n3ob/EIBFaMjOGm7miTZz4kRY2dBd6ohGOFVRgbgYM/AnpvRMGokZ9gzuwczJi+nQq2bh5KisRIJTf8Od9owV6bhQq2hHfW5rdpB3HQjp7rrelxYG15L50hg8HoL1jLdZ7590YkIXt6JlaMTUferlo0HLaiOXQxeC4ndKECuKSAXciHJHi4X9vM6Hv6Vxc345SBZOseW2Ds2PUMBoPBYDAYxxIUNJlOjIGJzaahf+12Lc0K7ikk4U1r0SJQ2rnbsSsEqscjKeluyKTRCAyc0Cv7ZAxsXE4nGptcQEuNn4A4O4pLvcLpIb4doVoDMlUySPh8uH66Fryj6+GKGQ/eDauJ0gqRqG39EoKYz8d7wxIwf3cuTE4XtipdiFSK0aS34t+sGuRUNyMjsvVw2eSxYVD+IoFeY0HxoXo01RgRGNH2M+S0WMCXtC6KxmAw+jcuhwu2Cs5pKwiSQKDgOnnkjVaYmq10PrApH3yXA/yhIzFp4jOwWGohEEj92m5G38Octgy/IBQKkZqa2uFE1jMYDAaDwWD0F6qrf8fevZdj+44F0DTt8ndzBrxoSxCJuOHd3UVn1eHe9ffi+n+vh8lu6pV2qVTDkJx0B6KizodMFt8r+2QMbGylpdBLIjyPZUG1KG7m3hsqmROvVtdj0d58PF3AObOt9QL6l1exG6jg8mePR5pCimfSWhzefB6M8d4K8O+tK2yzvUDAx4jZsdwDF3BwbZlnnctuR92SJTh63vkove76Hp8zg8HwD/Y6I1w2J50Xx6no34omEy0+6CZYk03/yoZmQqkcgpCQGX5qLeNkwkRbBoPBYDAYjG5AnA3FJR9Cp8/xd1MYJxGrtR6apu0wGPJhMVf5uzkDFpvVewMqEnXPJfvSzpfw8cGPMefHOVhduhp5mjw8t/056rplMHobc3Y2dEpOJBXyHaiyVMBo55ytgcHeqIPxagWcJjsMjZmeZa69X3XpGFdEhWBBaADCxEK8NX8oQhRiuvzPg5UorPPmW7oZNj0aQjF3C5+9rQpmg43O84RCNP/1Ny1KZtq7F/YGb/Y3g8Ho/1jLvNEI/Bglms02zHh5LZb9VeBZHqzhfneGNK4Gfr+Di2NhDHqYaMtgMBgMBoPRDXJyH0dh4f9w4MANTCzyk3jqcjlO+nHF4hBvG2xMEOkpVhsn2gqFAa0yPjvDaDNiafZSvL3vbQh4AsiEXB7o74W/4+f8n/usvYxTF3N2DkYe/hBDs7/CmJECHKps9qxzBHpdseMC5DDna2ByTIfTxb0vcehnwKKn+cgFBf/Dkaz7UFn5U7tZta9nxGPdhAwsjAzCDTOS6XLyr2VJO25bqUKEjClcITS71Ymszd78ZdVpp3EzLhf069b14ivBYDD6GmlGMIIvHQLtjCiMczXigrVHwHcCYRZuvcCugdxYQ+dDbQcB0jGUt9K/jWacFJhoy2AwGAwGg9EN6utX078WSxXsdm+RGkbf43RasWnzJKxdl4H9B244qccW+Yi2NisTbU80HkEkCurW8wqbCuEiY8IBnJF4Bp6e+rRn3Ys7XsSR+iMn3DaHwwSDoRANDZvgcnHDVBmnLsRpq9KXI6pmB8acMxRZNd5Ouho554gNFwsRLxXDnKuBCzIYHTPpcp7NAGQth92uR0nph6iuXo6mpp3tHidYJESomIuGu3JKAtQyrjNj+f4KlDUa22w/6jQuV5fHA/RNFq9oe/pcz7xuzdpeehUYDMbJQKASQz4qHNnjgmF0uZBVqkWMnQ8ReHR9UGM2nWtW8iGScv+fbIGRfm4142TARFsGg8FgMBiMboiGvlgs3irhjL7H6hFLnd1yafYGYpGP05aJtj3C6bTBbufciuJu5tnmN+V75tOC0rAwaSEuH3o5fWxz2mjGLSlMdiIcPnIXtu+Yj/0HroHFWntC+2IMfJzN3HtVEBgIYWQk6vVe0dag5ETWCWoFUfvBy/4OQl4ZjLwzvDvY+xUkPpm4JFqnM5QSIa6blkjnHU4X3t/Q1m1Lio/NuSIDVzw7BTMvTvcsl44YAWFYGNe+LVvgNBh6duIMBsNv7NByn1u+xoJEu1euWzM8F++fycfumd4igwYZJ+gyBjdMtGUwGAwGg8HoImSoqy9WKxNtTya+r7dYHOrHeARvLiuj69hsXme6SNxN0VbTWrQl3DfuPowKG0XnKw2VeHjTw3CegENWKon2zJvNFT3eD2NwkPjD90jfuQPxX3wOp9OCGzM/wFtzHsaZU/MBMVd0bFyAAvYjuxHkfB2RklsQoF4NhA/jdlC2A0JNFfh8TmSxWLmhzcej3mrH9kAeXAJOjNl5tBE2h7PdbNuA0JYohhZ4fD6Uc7mIBJfVCv2WLSf+IjAYjJPKjiYDYHeC12xDoo37niEW2/2JhVg3io867l8eRRDu84AxaGGiLYPBYDAYDEYXMZnL2x3qzTg5+DpcxWLOUXay8B3Oz5y2PcPmI3Z3Nx6hlWgbyIm2jmIDXpnxCoKlnAC8uWIzPjr4UY/bJ5X6iLYmJtqe6hzZVIGyEivsEUkwmcvoMqXICH0YV5zM7bS1H9zgecyLHQWMudL7eN/XEIvDuzwyo9FmxzaDEfb0AFhHBOH+K0ZBJOj6Lbtq7umeef2aNV1+HoPB8B+WkmYYD9ahrtaAPKMZfI0VCgcQ7uQ++2FxKmy5dgP+Oe8fXKX1jigRR07wY6sZJwsm2vqZ6upq3HXXXUhNTYVUKkVERASmTZuG999/H0Yjl2GUmJhIQ+rJJBAIEB0djeuvvx4ajfdGcf369Z5t+Hw+1Go1xowZgwcffBBVVd4Kx777am+65pprOm0z2W758uXtrvNtB5nCwsJw5pln4tChQ73yejEYDAaD4U/MJu7GnZCe/iQiIs7ya3tONfzptCVxDEJhIJ1nmbY9w7eTozuiLSn4l6fJo/PBAilC9n4DS34d6j8+BMFXNXh+2FPg87jbmiX7l2BH1Y4etU8qjenQVc84tXDYndj4fR7+eu8gfn97P+ByIiRkFuTyJOQ4uPeJmMfDCKUMvApvVq1g1Cxg5MWAgMu8xYHvIRVx31UkA93h8GbQtke6QoqnUmPgiFfCGS3HfXnlqLPajvscp8OJhgo9nZdPmgi+giuSplu/AS7b8Z/LYDD8j2FHFRqX5mDl1wc90QhGHvC5yoygqeEYOScWIr4IscoYxOu4EStmiQBiZbyfW844GTDR1o8UFRVRYfXff//FCy+8gH379mHbtm1UaP3zzz+xejVX6ITwzDPPUPG1tLQU3377LTZu3Ig777yzzT5zc3NRWVmJXbt24aGHHqL7yMzM9IimZDnZD5mWLVvmeY572VtvvdUr5+be58qVK2GxWLBo0SJYra1zABkMBoPBGGiQiveB6gmQSCKhkKf4uzmnHBYf0VZykkVb34gEq42Jtj1BpcrE+HE/YeTIjxAVeW6Xn9dgboDGwgm+6XoNsOoJOH/8L802tpbpkLhUiOull9L1c+PnYnjI8BMXbS3MaXsqo6k2wungMmxDY5VQKodg9KjPkD52BUptXCzBCJUMUgEfEkkuiDT6Ykgo/j6ch+KfimCRcwXJIA+G0sGJqARrF7KSr44OwfyQADrfYLPjruxS2nHRHrv/PoovH92KX1/bC7vNAb5YDOUs7thOrRbGPXtP/MVgMBh9irVcR//uD+HiEPiNFhqJUC9wYe68SASu+hj6TZvhaqqC0Gan25iVcvBaOisZgxsuQZ3hF2699VYIhULs3r0bipYeUUJycjLOOeecVv+cVSoVIiO56oAxMTG4+uqr8d1337XZZ3h4OAIDA+m26enpdD9EGL7llluwefNm6nx1Exwc3Oo5vYlvO+6++26cffbZyMnJwciRI3v1OAwGg8FgnEwiIhbRieEfrNZ6v8UjcMcMgdFYCIfDAIfDBIGgdaYk4/gIhUqo1WO7/Ty3y5aQ1uI6lDq2QBR6L2zkLeECFu+dgojwAJw15gLIRd7f1T132jLR9lQm78UlAMZ7RNu7v98HiVCA+Eglzg0PxO5mI8aTImTNleBpy3BYIsbSADlgfBWzm8fjceP5CL/uASBuEnj5zwHGzXRfFksNZLK44x6bjFZ8PSMec3bloM5qx9pGHV46WIpb0qIQKG9x8LagqTHCqOWMMYV76zBkUiSUc+ei+e9/iJ0dlqJCKCZP6rPXicFgnBhOix32OhOd3x8m8uTZElLDlZDt24mKpd9Bs/Q7BC6egygp9zxrQPdy4RkDFyba+omGhgaPw9ZXsD32H3Z7VFRU4I8//sCkSZ3/A5bJZLj55ptxzz33oLa2loqpJxOtVovvv/+ezovFrX9kMBgMBoPBYAwk0Za4Q4ODpkJEHbesavPJolWebYtoy7s/B+HiQOg2laN5TRn4dmBa7QholubCmF6LoHNSIAyRdVuU5/PFcDqtLB7hFMahN6C+pBloia5VR8vx18YjsDlcSA5TYO19s+lyu9MFZP1K57fJvO+1MYahsBri4IqaSO/nJJLwdkcLHI9QsRBvZ8Tjsu15EOZq8WFtBZqn6/HiWa1d5MOnRyNvB1fgLGtzJSfazpqFmNdfg2LGDAhUqhN/QRgMRp9hLdfTjkeTAMiR8cDT2cAX8OCyuzApKRh1//7s2bY23oSoFrO+I9DbycgY3Axq0fbLI1/iq6yvOt1uWPAwvDP3nVbL7lhzB7Iaszp97lXDrsLVw6/udtsKCgqok3bIkCGtloeGhsJsNtP52267DS+//DKdJ1EHjz32GBwOB11PBNvXX3+9S8fKyMigf4uLi0+aaBsby/3KMRgM9C9x2rrbwWAwGAzGQKei4juYqBPPhdSUB/zdnFMGq8V/mbaE6OiLTvoxGUBaUBr+EzIfRyv+RIbVCoc8HQJ5MJXNA+bEQz4qHE2/FcCcy0UoWPI0qH5jL0wzpKgaasDM+Jah6p1AhppKJNEwmYqp05b8Vu/IRNFXOBzOlhoVrFPAX1jycqFXeAURjQhUsCWMivWOThSSa1TG5SdvlUl9RFvunseutUAUKoNYEuFZZ7VwAmtXmBMSgEujQrBsM/ec73eU4t45qQhTSDzbRKUGIjBCjqYaIyrzm6CpNiAoUomAM8/s4dkzGIyTiY2ItgCyAwSw039qYlw5IRETDTxERKtg3LSNinYGCbAhhQeVTA650QFH5FB/N51xkhjUoq3BZkCtsfPcoEgFFzvgS6OlsUvPJcfoTXbu3Amn04nLL7+cZsG6eeCBB2iRMPLjsaysDI8++ijNiSXZtqQ42fFwxyyczB+dmzZtglwux/bt26mb+IMPPjhpx2YwGAwGo68pKf0YJlMJhEIVE21PIlY6Fh4QCJQQCLwiCWNg0Ni4BXa7HiJxMNQBo6irtStMjZ6KUTtqoKj6hD62R41ptV4o1iFkWiXME8ai6Y9COLRW7BNn4eWqz2Gps2HpoqVU+O0KMmkMFW0dDiMtHNWdgmk9xeV0oSy7EYfWl6P4cANCYpQ47/6xEEsH9a1av8WUlQ2dkhNtpWIHsjWcqEKIlOwCMNqTQ8k/sAFGPg+HJN738k8h/yLcFoybNZlUtFXIkxEjGgdXaCoUiq69D928MCoB/+4og75EB5fNidtXZOGH873vf3J/N2x6NLYuK6CPs7ZUYdr5qSf8GjAYjJObZztG48DWlETsFTthXnoUJXlalGyswkRXAJQwYF8KD0Oj03FUtIFunxE7wc8tZ5wsBvUvAYVIgXB5587SYElwu8u68lxyjJ6QmppK/8mSgl2+kDxbd6zBsQ5c8hxCWloa3nzzTUyZMgXr1q3D6aefftxjZWdn07+JiYk4WSQlJdFMW+IkJrEMF198MRWYGQwGg8EYqOj0OTiw/zpIZbFUsCXY7To4HGYmIJ4kSCEgi6WWZsoyBh4lJR+hUcNle86csa/Loi2lco93PsnnZlVTAny9GLymMsgu+wGSe2ejeXUJNhUuhZanAxzAvevvxXeLvoNSrOxyri2fL4XFUtenoq3FaEPOtmoq1mpbMg3lAWLEDwuGw+YE2NeKX2g6UgS7aBqdD4mQYGNJlWddlKrMM286XI4AUy52KaRw+phj/gjegCGmRNzYZAEKViNg3YsIqNgNXHkLEMztt6uQQmdvLRqO65Zsp87y3CN1MP7HDrnYexufMTkS25cX0sJpudurMPmcZAiE3gJFLocDvE5MPgwGw7+iLV/ER1KMGvFOJz49yi2TCqxQGLnvnwNDxFgQOhQ11vGwmCshlbbktzAGPYNatCWxBT2JLiAcG5fQ24SEhGDevHl49913cccdd3SYa9sRbnetycT9wOsIsv6jjz7CzJkzWxUhO5mQmIcXX3wRv/76K849t+uVghkMBoPB6E+YTaWwWGvo5IvVWtdpYRlG7yCTxdPJX5DRSw6HHlZrAy1CJvEZ9szoHKutkf7l8YTUpd4dBJoD3vn0yd4Vuz8FGou4+R+uBP/q3xG4aDye1L6M4o03ILsxG8XNxXhi6xN4PvZxOGpNUEyOAq+D+IHk5HuRkvIAFWv7apRafbkehzaUI29HNexWZ6t1wdEKjFuYCIlsUN+m9WvqipsANTcfnhaOg2VH6TyP58QjrnPwza5cPJUag7TcUpid47BFxnXi+VIqroZNYwbkeoAItoR9XwMpc7rdnrnxITh9RCTWHKpGk9GGb7eX4saZnNGHIFOJkTw6DAV7amHS2XD0QD1Sx4XDsHMntMt+gX79eiT+/BPEcez/FIPRn3DorXBouNHVohgleAIeqvO1sJNOOwBBjVm0s8ZO+mAmj0Vc1Dl0YpxaeLvgGCedJUuWwG63Y/z48fjhhx+oI5Y4b7/55hvk5OS0ij3Q6XSorq5GVVUVjVAgcQlEhJ06dWqrfRJXK9kuPz+fFgCbNm0a6uvr8f777/dq248ePYr9+/e3mtz5tcdCYhJuvPFGPPnkk56oBgaDwWAwBhomU7lnXihU+xSW6TxOiTE4aGrahQ0bR2Pb9rkoLf3U380ZcNhaRNvuCKJaixbNBi2ENm7kmBMy8CKHeTc47Qkg46yWAxiAby8A6nKhUAfgtdmvQSXmxOFVJavw6colaPq9ELXv7fe4m45FIgmDWBzcJ4Jt6ZEG/PLqHvzw3E5kbapsJdjGDAnCwptG4D93jGKCrR9x2WzQNHkfq+PUKKp30HmJwgaHQICDehNkFgcsVXI02J7EFgXXkSTkCzEuaCydNwnMqNJUAEPOBOQhLcMf/wCM3Geguzx8ejrcb8mPNhXBbOPa5IZEJLjJ2kzy1gHTvv3Q/vYbHFotdGvW9Oi4DAaj77BWeKNXxLEqvLeuAEu+P+JZFlSxj/7NiudhdPxYoDYbsHsjNBmnBky09SMpKSnYt28fjTd45JFHMGrUKCrgvvPOO7j//vvx7LPPerZ94oknEBUVhejoaJx11lnUmfvvv/9Sx64vJI6AbDNu3Di89NJLdN+HDx/GsGE+P257gXvvvRdjxoxpNZFz6Yjbb7+ditI//fRTr7aDwWAwGIyThclc6pkPVI/zzFstXM4qY/AjFnt/d1ltDX5ty0CDdNzbbFyhMLGobTRZR3yT/Q2m/TwdC+Ok2CcRwyEfBvB9hnoLhMD5nwKJM7jHJg3w9blAUxniVHF4cfqLnk0/VvyIw7IC2Cr0VLjV/FYAp9mOkwWJQKgq0HoeiyQCjJgVg0ufmITF94xB8pgw8AXs9syfWIqKIDI3Q9VcDD4caBS74HRxaqldzeVVyPh8JJVzox2rRPWoFHAdd2PCx2BExEjPvgp1hSRwGRh1KbfAYYXzwLc9aldahAoLM7k6LHU6Cz7eVoyV9d73UuyQIASEcu0ry9agud4E1elzPev1a9b26LgMBqPvICM+xEkBWBUrwqvBDvxyuAqCOq8oG6zJoX93p/Ew2S4AlkwGno8Eti3xY6sZJxvWjetniBBLRFoydURxcXGn+5k9e3a3Xaw9eQ6hs+e0tz4uLg42m63bx2IwGAwGoz86bdXqMahv4G6CmdP25GAwFKGpaQfE4jCoVMMhlUb5V7S1MtG2O5DCXk5nyzDQbuTE5mvy6d9qEQ8208uwTkmB6NiNRFLgkqXAl2cBVQeA5gpOuL1uBWbFzcKNI27Ex4c+hpPnxIvxn+KdgocR7FDDsK0KpsP1CFyUDNmosF5z15LfwlWFWppPGxgu9ywfMjkS25YXQhkowYjZsRgyKRLiDly1eo0FBXtqMHJOLBNyTyLm7GzEVG2mU8i99+J3Y4pnnUnNjbAYHSCDI4ez4+5TcA5wwpSoKYhQeCNTjppbYhPGXAlse5fOGjY/CfmEGyAQtq5f0hVum5OKvw9V0/nX1uYDDh1WTszAEIWUij/Ebbvv31L6PuMLeBAnJ0OcmAhrcTGMe/bArtFAGNT3hfUYDEbXkKYF0WnDwSKsqG1CYHkzIh3cd0OAvQ5iG+fEzRmqxFBTiyvX5QSUnddeYgwe2C8ABoPBYDAYjC5gNnOiLZ8vgVI1rFWmLaPv0TRtR07uYzh46CY0NPqnuKlQGEDzWAk2a8+GOZ+quF22BJE4uNuircQpQoQ1BYJUr5OxFdIA4PJlQHCLyNaQz0UlWHS4bfRtmBQ1iS5u5Gvxyohv4RRxJgOnzobG73NR/+lh2OqMdFlZ2RfIzXsG+fkvdO8cLQ4c2VSBH57bhV9f3UsFNF/EUiEuemQCLn1yEhVtOxJsd/11FF89ugVbfi5AaRZ7n51MLC0FnAnyYcNwuMLrZnUGcN0F41UKmHNJtrkDwxxpuCHzBgwPGY6p0VOREugVeStiW3IWwjNgDOZqi6gMDthK1/WobcOj1Zib0SLWmB2wVhpxa1YxLE4uZoO8p655eRpmXJQOZZCUdkJ43LZOJ/Tr1vfouAwGo+8gnXw7mw3gN9mQaPOOIgkcrsSfE3jYlcZDUsYkoM4bm1BpP+yn1jL8ARNtGa144YUXoFQq250WLlzo7+YxGAwGg+G3H9UmE1c1nFTslYi9biqrhYm2JwNfZ6tE7J/iqjweH6KWof0sHqFnebYE92vYGUabEWU67nOXok5ByLnpEMcoO36CMgy48ldA1eLCrtwHfH85BE47Xp7xMsLlnOC133IYBZdbIB3mdU5bCppQ8+ZeGPbVoqT0E5SXf4mq6l+61M6mWiM2/5SPLx7egvXf5qKhJaeQFBozG1qPNAuMkHfq6A2JUcI9cC1nG+esZJwcAhYtQti990K1cAGkw4biiskJOD/tH4SFa+BScaLtaCsPctsKREsuxiThB7grbDK+P+t7DA8djmR1Mni0dBBQIqz07Lc5zRupw9vXs4gEwu2npWJolAqhkyLgjJLhiN6MV45WezoFhCJB64/Ead6IBJZry2D0P/KNFjTaHOA3WpBIK45x1Gbo8NXpArxygYB2Orrqcz3rdGKrn1rL8AcsHoHRiptvvhkXXXRRu+tksu4P42EwGAwGYzBgtdbD6TTTeZksFmKJVzS0MKftScHX0SwWh/qtHSQiwWqtpSIyEfP7omDVYMTqI9qKuxiPUKQtggucepkekQHlpC5EYgQlAFf8Any+EDA3ASEpAF+IEFkIXpv1Gm5fezsen/w4TkucB2QApqwGWpzM0cRFN4hjlZCWxsBiqaLuYBLrIBB4Iw7cOJ0uWljs0PpylB5p64aNSAqgebUicWsRrSskjAiBTCWCSWfD0YN1VPiVKtqEQjD6AEnmCMhGet3cIxS10Cb9gx2YQXpt6LJhZSaI+dng88zgm3aTYErP9jKhDDHKGJTry1GoLYTT5QSfx4c1bRrsu1ZA6AREuWsAqwEQK7rdvjHxQfj7zhnINpixcE8eLE4Xvqyox32JkZC1E6MhGzUSgtBQOOrrYdiyBU6TCXx2T8dg+B2X3QkIeNih5Tr5qGjb4rTlC3lYPH0+4hqCsaNqB6ZFTwW/8QG6ziThQ6JM8GvbGScXJtoyWhEcHEwnBoPBYDAYXsxmzu1HkEnjqeikUmVS8VAdMNqvbTtV6D+iLXdsl8sGu10HkSjAb20ZSNis3Y9HcEcjENKqsoGjG4GkmZ0/MWIYcNmPQNF6YNaDHrFtdPhorDx/JRQir1gmGxYCSWogdGtLwRMJIAqTQ1YbA612N11vMpZDqUpvtfvmBhN+e2Mfmuu5jhw3AiEfaRPC6TD18ITuvy+cRiPMOTkQxcQifWIkDqwpg9PuQv6uGrpPRt+zYWkuyrIaERKrxKxL02HjlcAKEYqRTNenyCSQH2qChMfFKLgEEvCiRrXaR2pgKhVtTXYTqgxVVMQVKxNQGyZBdI0FfKsJyPoNGH1Zj9pIOoqGKWU4NzwI31c3Qudw0qJkiyO8nSEmnZW6tMn7UTVnDpp++gkusxmGrVuhmut13zIYDP/QvKoEht012DBaBshc4GutWC8TIFMgxsLhEQhRBWO+aj7mJ84H9HWAxUCfZ5QJIJWc/Ex/hv9goi2DwWAwGAxGJ7ijEQhSWSx4PAEmTvjNr206Fd3O7RUEO9mIRd5j22wNTLTtIi44IBKFUPdqVwuR5WnyPPNpBRuBiKldE20J8ZO46Rh8BVs3fLEA6gVJnsdSabRnvvrHTYgcoYJyovcmWRUk9QjB9HGwFJmzYjB0WhRkSnHXXxOrFaaDB2HYth2GHdthOnCQvKkgTkjAkPe/paItIWdbFRNtTxL1ZTroGs3QacyYd90wSATpEKZ8BHsR53Qep5YjaJEUwq+r8a9chiGhmYgXiFoCETjIUGYBT4AkWSL4BhegBMSScBRGSRFZY4EpJg2KIO/7radcEMmJtrA78XONxiPa5u+uwerPs+B0uGC3OTD09LlUtCXoVq9hoi2D0Q+wluvgNNiwRyAGX2sj/ySRI3bg9LB6jJXUwFYdDFFkpDejvQWjXACVz/8oxuCHibYMBoPBYDAYnRAYOBGZw9+i4m1Q0GR/N+eUxGrhRFuhUE2LwfkLX8GYRCTI5ScuvpwKREddQCeXy0mnrpDf5OO0tdrgjBhzYgU5qg5wObfjrvEsWl6wHAfqDuCJyU94oi6k0hj6l+TKllWbUXAwF6dFKyGOVdHlPD6PRh+QImFETE3IDAGf33lMhsvhgDk7B8bt22DYvgPGPXvgMplabRN+/30IvORSCJQKhMWrUFeqQ22JjubkkqxbRt9hPHwEDeU6Oq8Ok2FHmQZBcjGq+ENJWTG6fIJaAXHTFuh5PDwUHgo7rwaTVt2IT+Z/4tnPRQHnYPY3iYDTBekUM3AOyeEOR7NKiC2TgxEcNwvDE6accHulWhtU+xphsdixbgofdVYbwsQiRCaraXwHIWtLJcY8Pgl8uZxzcmdns1gXBsPPuJwuWMv1qJbyUCXjQ1DBxfMQpuVsRvXHq4Cnn0HCt99APm4cUJ/XSrQNY6LtKQUTbRkMBoPBYDA6QSqNglR6lr+bcUpjtXGirdhPRcjciI4RbRndL+ZGpu7EIwQ7HAhxuGATZ6DrPtZjOLoJ+O5SwKoDRHJg5EX4367/4eusr+nqocFDcdGQi1qJtvWHF6OhjAh2TgzfVYO4FtGWMGpuHEafHt/lw1uOHkXxJZfCqdV2uA1x2LrsDvBlUvo4Y0okFW3dbttpF6T18OQZXaH4va/hcM2n8yGhQjy87BAqmkwIkotw5KE52K83YbhSBhzaiV0yKewtwicpPuYLXyWmgi3BnZUskYRTd7ZVzIPFWnPCbSXC6xO/HYGt1kQ7Mmx6G36rbcINsWHU+R0/LIRmLusbLagoNCDymWfo+0uaOZwJtgyGn7E3mOCyOLA/SujJs6V/nQ4EHdxJk9ydMgmMqdGgier13g5Mg0wEsZgrqsk4NTihzmoGg8FgMBgMBqOvsdsNtCAUQeLHPFtCVORiTJz4F6ZP247QUDbMuK9oMjdBY9Z4XLZ2VxxEsRE932HJVk6wJSy/BchfhZFh3oJTL+18CYfrD3tE26bCGWjIXuRZX3SktUDfkfBlq6hA07Jl0G/Y0Gq5ODaWRh/4IgwPh/qcsxH14otIXbcWKStXIPTmm8ATcMVo0iZEgC/gjpO7swYOR9ccyoyeUV/JZUYSFHGBVLAlpIWrECIRYW5IACIlIqB0O7a2COuEKVGtXbMCItq2OK/doq1AoPQUtLNYTrx4JXn/nTeW61yg+680YXmNNzd6+HSvEy9rcyXUZy2CbEQmE2wZjH4AcdkS9gVy3/XqxADckhmL+6NscLV07O1IsOKqNddzT7AZW0pyAvbASPD5zHt5KsGuNoPBYDAYDEYPqKz8GaVln9Ab8MzhbyAkpItZm4wBW4SMIJFE0InRtwRKA7Ft+jso+uECuHiATXIaRMIT8JuQgmT6amD3Z4DTDvxwJRZc9RsODL0C32R/A5vThnvX34sfz/oRjQUyVO+93PPUYVI+UmwOOqSVRCP4Yq+vh2HHDhi374Bh+3bYyrgcWsWsmVDOmuXZjicSQTXvdDhNZiimTIZ80mSIkxKPK6KJLDokZgaj6EADTM1WlB1pROJI/77/Byt2jQZamzfvuEnqfa+lh1lgtTYCdWKYj1RCVXUA26O46yDkCTEhckKrfZH3iEAthlVjRLm+BGGu0eDz+NQdZzIVw0qctg4bkLcCUIS3m73cFf4zKhov/J1NTb1h9VZ8NcIb1ZIwMgTyADGMzVYUH6yHQWuBQu2/WBkGg+HFVsZ1IM6rtiNkWCh0uQ1Q7m+AC4GoDx6O0MYj2J3Kw8TIiXQ7x8IXsUW4HIHNNvADE/zcesbJhom2DAaDwWAwGMfB6bShoWEDZLI4SKWxEAq5G3uH0wSDgRuyZrHU+rmVgxun0wKFIo0K5KSgD2PgkZ3zKL2OUkk0UlLu69JzpIX7McJqpfP6iFEn1gAijp75KmDSAEd+BewmYOmFuPfqP6jDdn/dflQZqvDU7y9j6JYzABfngApN24i0urmAxQF7nRF8uRPGXbto8TDj9u2w5HuHrfpi2rUbLpuNirVuol9+uUtNJW7d+o8/hvbX5Yi/5WmYUmORMSUK0WmBJ/YaMDrEkpsLvdJb7O2ojXvfEeTm93D4sBjJNc/BunEN9AonisXcdSVubaW4bdbwh6E/4ffw1bDx7fizYTQSQpOQlvYoeOBDajTD9fpQ8Ax1QPoC4LIfetTmiAAppqWGYlN+PTTNFhyt0iM4gStGJhDwkTE1CntXlNB8WxKvMW5Boue5LNeWwfBvETLCeI0DZw+Pw7LVDeB+RfKg0pfBwQP2pvLwVBRXQ8FiqYJNzEddqAQRLM/2lIPFI/gJh8OBqVOn4rzzzmu1XKvVIi4uDv/3f//nWbZs2TKcdtppCAoKgkwmw5AhQ3Dddddh3759nm2++OIL+o/XPSmVSowbNw6//PJLl9s0e/Zs3H333R2u991/QEAAJkyYgN9+Y5WzGQwGgzG4MZsrcfDQTdix80xkZz/kWU4Ky7TnBGX0PkrlEEyetAKzZu5BWuqj/m4OowfU1f2L6urlqK75o8vPcZXs9D6IHY96qx1zdubQabOmJeqgO/AFwLkfAsmzucdmLUTfXoRXR9+NYGkwVOZgxGyaBLuFiyEISy1H5hg7XC0DUy0lzWhesQLlt94GzddftxFsiUArnzABoXfegbhPPgb4PbvVsjc0oOn7H+CyWCD97UOce+8YDJsWDbGM+W36CnNWNvQKLm5AInLiYIP3/bVTPR1rMRuNeY0Q8wuxTeqNRpgc3X5hSrlEQQVbQn5VDv0bFjoXoaFzoIydD56gxfWa/y/QXNnjdp8z2huRsHwfVyzNzbBpUZ75rC1VsDU0ouHTz1B82eVo+PDDHh+TwWD0HJfDCWtLFIsgRAqrE6htyS5X6sshsTYjJ45k1/I8Ln6RKATDh72BlJQHERF+pl/bzzj5dPuXREVFBa644gqEhIRQAXHEiBHYvXt337RuECMQCKjQumLFCnz77bee5XfccQeCg4Px5JNP0scPPfQQLr74YowePRq///47cnNzsXTpUiQnJ+ORRx5ptU8ipFZVVdGJCLpnnHEGLrroIvqc3uLzzz+n+yfXfNq0abjgggtw6NChXts/g8FgMBj9DbO53DMvlXmdWBKJtyCWxcqcticLf7vDiEOtqupXlJR+gvKKpX5ty0DB5XLAZmui82IR5wTsCrz6/S3PF0OQMgpLqxqQbTDT6YL9hXgyvwLm7ua8CiXAxd8CMeO4x/pqRPx8A17IfBSLcm6G3BZAFyvieJg3NBwpsXeBB+49Zy3RQTHZR6Tj8yEdMQIhN96IuE8/QfrOHUj4+iuE3Xor5GPHerJpu4ts5Egq/tJjHj0K/fr1PdoPo+s0ZRXCKlHT+eAIKQ5WNtN5ntCF7fKZeE07HtY6I/SOs7FOPcfzvKnRU9vdX7LSG1WQX5fftvNgTEv8hssJ7O/598gZwyMgFXG39H8erITN5/OgDpMjNoP7vDXXmVCR24jaV16Bae9e6P5d1eNjMhiMnmOrMQL2ls9ptBLvfHcI7sDaIA3XwbM7jY+0oDSESIPJP0CIRAGIjDwbiQk3ISyMK5bIOHXolmir0WioUCcSifDPP/8gKysLr732GnWAMrpPeno6XnrpJSrUEiGUuFa///57fPXVVxCLxdi+fTv+97//4fXXX6fTjBkzEB8fTx20jz32GL0Gx97EREZG0iktLQ3PPfcc+Hw+Dh482GttDgwMpPsnbX/22Wdht9uxbt26Xts/g8FgMBj9DZOJy6gkyGTeavFisVe0tVrrT3q7GP6B/N7KzXsCBQUvoqzsS383Z0DACbbcXalIHNzp9k6XE4+tfwBfSbXYK5HA6kqFKCYQo1VyyHwyZT8sr8P83Xk4pOOK1HUZiRK47CcgNJ0+dDUUoe7zMgSauKxiraQagt2Povq+e6D99QugpRiYtaQZothYhNxyM2Lfexfp27ch6acfEX7fvVBOmwa+TIbeIvj66zzzDZ982mv7ZbRPfTHXqUBQJAShTscVEHMESGi0RgrPAqUdcMCFfZKjdJ1KpMLwkOHt7i81ONUzX6gtbLvBaCLatryX931NMmB61G6VVIR5wyLpvMZow7XrsvF0gddxO8ynIFl+jgXS4Vx7zVlZsFX23OHLYDB6hq2lCNnmUAE2K4D8Q97fj8GN2fTv7jQeJkVOAsp3AW8MB/64Cyjf47c2MwaQaPvyyy/TofvEbTlx4kQkJSVh/vz5SElJ6bsWDnKIYDtq1ChceeWV+O9//4snnniCPiZ89913NObg1ltv7bbThMQvfPkldyMxduzYXm83EWs//ZT7AUkEZgaDwWAwBisms49oK/U6bUlRGTcs0/bUggxVJNhsDf5uyoDAZvNWtRd1wWlbrivHbyUr8HpwED4NGAojfx4EAWLMDFahcOZIPJ0aDUmLeJtnNOPMPfl4u6QGDpe7vnYXUIQAV/4KBMSCx+dj7HQlRBIBnEIjJu96D+OzORGv8YvPIZBx1bzt9SY4DTaE33UXVHPnQhDAuXL7AuXMmRCncvdYxBlp2LMXFXkarPkyCw0V3E0/o3dwms1Q5GzG+D0vI1O7FqYor/juVHP3OSMMXNRBgbQUzS5uKPOkqEkQdlDFPTk8FXwXd6tdZCymf+12HTSanaip+RPNQp03pkNTDJRs7nH7F4/2CrMbDtfg26oGjwM9eVQYYoYEYeYl6XRSnT7Xs61uzdoeH5PBYPQM+fgIBNw1GvePk+Puujok2rjvCb7ThkBtIcpCgZogHv1+4eJTKoA9XwC1Wf5uOsNPdCsYiQzPJ0PuL7zwQmzYsAExMTFUULzxxhvRH2n4/As0fvFFp9tJhw1D3PtLWi0ru+VW2gPZGcHXXIOQa6/pcRuJ8Pr+++9j6NChNGri4Ycf9qzLy8ujMQhCofcyEcctEXZ94yrUarUnD5eIvASTyUQd0R999FGviuqXXnopjXYg+3c6nUhMTKQRDAwGg8FgnBpO2zjPvEAggVAYALu9GVYWj9Cn5Oe/AIOxCGJxKNLTHvcUg/MXYnEIzOYyKkY6nXbwOxBuGBxWH9FWLOrcaZunyfPMx5omwxZ1gceswOfxcFNcOGYGqXBHdikO602wuVx4oagKq+qb8c6weCTKWvJCO0Mdywm39bmITZqHmfs+gPavvxGgb6SrBWSE2TNPwylLgavOCXFCAHgtQ9H7GiIkh1x3Paoe5TKc93+6BvudXKSDRC7C9AvTTko7TgVINrHAbkGArhRxiePwrcPaVrRt+TcgkIkwO3Y2dlbvxJToKR3uUxasQrQ1DOWSGpTYy+BwOqDTHcHefVwsQnz8DQgYeyVQ1DJice9XQNLMHrV/ZnoYguQi6rTlmR1otjnwb0Mzzg4PhEDEx+J7xni2dc2di7q33qbzujVrEHzlFT06JoPB6Bk8Pg+HpADpBgqvtULd0rkTpLajKEWE/eF2CHgCjI8YD/z1uOd5+ugktC15yDgV6NYvzKKiIiow3nvvvXj00Uexa9cu3HnnndRpefXVV7f7HIvFQic3zc1cPhAR/MhEcBe3IhlhZHLT2XL38zta7tDpYK+p6fS87JGRrfZFIgXsjY1deq5Dz/W0drftvsuJY1Uul+Po0aMoLS2lQqh7n27c7bvmmmtw1llnYefOndSdSxy17tdSpVJh79699HkGgwFr1qzBzTffTOMrzjnnnDZtcZ+r73L3fHttJ7zxxhuYO3cuCgsLcd999+HNN9/0xGP09Dp1tvzYNvZkeU/fY+yc2Dmxc2LnxM6JnZPZ5M605UEs9v5mIG0kEQlUtLXUt1re389poF0nTdMu6HQk7omHIenP0vX+PCeRj/BIhFsiJrPr1HHbyefDjbDFaXu8c8pr9Iq2qbIkiGMUbbYfqpThr7GpePVoNd4rqwNZu6vZgMV7C7B9cgbEPiPSjtv2sHSY6h2ovOBCuAoK4PbOSiePRfWFZSgX3YnIkHOQMe3Fk36dVGcuRN2bb8JeWwvVpu/BnzkOTgeQu6Mak88lxg4B+47ohXNyNDVBGBkJe3U1JBlDIOLzEBkgQXWzxSPajq4FVIIfMUlmx+yohbBOfxF2Hr/D+1l+oBhp0UNQ3lADK2wo05UhVBTWenRGxr1wyYLAM2ngyvodrgWN4MmDun1OIgEfL503AvVCF+6r4joQf65uxH/C1G2uhyQtDaL4ONhKy2DctQs2jQYCtXpAXKfB+N5j53RqntP2Jj3JAUJyg8Mz+D16ZiJuyyQdRgKMDBkOhbkZqOZiLpuVAuzKuhpJpnuRlHhrvzynwXidXH18Tseu6xXRlux0/PjxeOGFF+jjMWPG4PDhw/jggw86FG1ffPFFPP30022W19XVwWw203lS0Iy4RYmgSxycbhQKBRUiSZau1WptVXCLiJyNRFi1c0NVCEQ8lEgkdN/kBTPDBV5oKL0Y5IUhAqcvxDFKtnMoFKit5f7Bke0iIiLADwykz3VDlrsvqu+LayFB8qTnQ6+nQqmbrp4TEb6J8ElczK+++ioVZX/44Qd6vNjYWGzZsgU2m42eq/tNQM6f5Mq6X0eyH51OR59DnLnkPBsaGnD55Zfjzz//pNeLiLZkO3JcN8TBGxoaSttH2knWG41Gug0phnbsORHIccPDw+k5kPaSImmkKBk5bk+vkxtS3I5cE/e1cEOO5z4n3+tBrlNn5+SGdCy0d0599d5j58TOiZ0TOyd2ToPnnNzxCEJhGOrrta3OSSQivxUK4XAaUVV1FEKhckCc00C7TmYz106BQA273QlS38mf5+RwyD3rrLYGmM1idp2Oc04NjaWe5eQakt/SxzunwzWHPcvHX3EGZNJorC2pQLxYgAAB33NODosF1ysFGJsQjMcrtSi3OfBIchRsRiOaOjmniuxmWLQupDdsRd2bbxD1ndtYJELIJacheJwMReLtNIq3WVdM2+uP6yS98ALo31sCkc2IcF4lqhENs96GnF3lyJySwL4jeuOcpk1D4qp/UVdYBIuAj0tUKlw0XIIZB0oACR8BLgPijC7IxashaqwElv0M+125aDZa0YzmDs8pWh0HtLxMhyoPYWzAMM8xjcYqWhTPMmQxpPs/B89hgW7bZxBOvbVH5zQqlAeHCwiv46PW7sTaxmbUmMxAs7bNdZLPmg3t11+TPD1U/vEnFGcuHBjXaTC+99g5nZLntKlOA57WikSrd+SGOk6AK4OuxP7G/RitHg3L4T8hbVnXEMx1HvEwnO63P57TYLxOhj4+J9/jHg+e61i5+TgkJCRg3rx5+OSTTzzLiPOWFLwiw/S76rQlubjkpMiJnMpKPHkTkLxZEjnx9ttvo6SkhEYkkOJkt9xyC7Zt24bp06dTUZdk3/pC4ilOO+00+oYkxcG++OIL6oBuampqdUziyq2pqcGePXs6PSeyP5KnS47XXtvJB+PXX3/1uHYJCxYsQEZGBm3/YL1O7JzYObFzYufEzunUPSe73YBNm0fTebV6PMaO+a5VGw8fvhs1tX/Qx5Mm/gu5PKnfn9NAu07kB/jGjZlwuqxQKIZg0sS//H5OhUWvobT0A7puzOivEBQ09ZS/Tsdre3HJEhw9+gZdPiLzfYSHzz/uOZ3965ko0VdAwhdhx6XbAb4QmVuOoMnuwNRABX4aldLmnAwOB5bVNOHqGM504V5Ocm6FLQYO9/bVRVr8/tYBOGxOxFRsRHr+j+DBBcmQdERdPRnSgy/TxznJgVgfKkaBPQhzhj+JM5PPPOnXyanXo3DOaXAaDGgIG4kDw2+iy5NGheLMW0ay74heOKfmejOK9tUiJEaJsAQVpAoRDtbnYMER7gZ8orUQH6wTI1raEiUQOxGu6//ttI0rilfgoU0P0fnbR9+OG0fciI2bRsPhMEAuT8aUyavgqj4M3gfT6DauyBHATZtO6JyeK6rCkrI6Ov98agyujeHyt0mb6kp1yN5aDWdDHaKX/JcuV86fh5g33xwQ12kwvvfYOZ1a52TOboSxvBkTxc0wFzZj2iEj0mwCxIhFuPnVGZ7ahHT7H68EL+dPOr9rtBqumLEYP+6XfndOg/E68U7SORFtlIi4JObUrY2esNN22rRpyM3NbbWM5K4SMbcjiIpMpmMhLxCZ2juBY+lo+bHP78ny7h6zN5f/3//9H72wpMAbeUxiEYh79f7778eiRYvo600iCMhEBN3zzjuPCt5VVVX47LPP6HNID4H7taQ/Qqur6f6J+r9q1Sr8+++/ngzcrrSxvr4eBw4caLU+KiqK9k60t/0999yDc889Fw899BDNOB6M14mdEzsndk7snNg5nbrnZLVWtsqzPfY5UVHnIzBoIiTicEil4Z71/fmcBtp1cjoNVLAlSMShnm38eU4SiXc0ltXawK5TJ22327miXgSxOPi452RxWFCm5z53ySYDBFvfQvbY26GxcyPmVEJBu58zFZ+Pa2K9w8/dy+/PKYXd5cJzabEIEAqgrTXhn/cPU8GW4AqJAPJdCL7uOoTdfRf4B78BDnI3XvwyA95zkRspEwxH/8SCyPmwljRDFKmAMFjapdfgRF9ffkAAAi+5GLoVK5Fx1VkoOCKCodmGkkMNMOmskKnE7L13gudUmdeEbb8W0XmSFTxqbhz26IiTihtROUpuhyq1AWXVAkTaHRDFT+pSG9OCvLnD5fpyelyJJBxG41FP8UpeZCaQvgAISQVv7FVkByd0ThdGBmNJaS1gd+HnGg2uj+M+E3abA3++cxAWox1CER+RIVHgN1TBsHkL+RIDpNJ+f516sy3snNg5dXd5b7TFdLAOe4oaYJiigKjRgp1SO8QNe3D1lTNoRyGvZRQ37BagaD2dtYp4aFYJMTTm8lbt6i/n1JvLT7Vz4new7oREWyLQTZ06lQ63J8WnSK4qKXRFJkb3IE7Z9957D+vXr6e2aTc33XQTfvnlF1x//fVYvXo1FXEnTpxIHc1EqCXxBURAnTlzJnXi+iryRKknAiuBCOVETH/mmWeooNpVli5dSidfnn32WTz22GPtbk+ctklJSXj++eexZEnrYm4MBoPBYAx0SF6pUEiG5Gshk8W3WR8SMsMv7TqVsFq9eagkQ7g/IBZx7jV3PALj+KjVY+FwGOnnSSr1Vrpvj0JtIZwkk4CIXkRMih6L7VrvEMXJ6q6XYllRp8XSKq6o2NYmPV6LikDpp/kwG7gohJghQZj/nzPgqh8DxeTJ3JPGXwcYGoB1zyHNZkOY3Y46oRC7Knei5LlNELtEUC9KgmpGLE4WYbfeivB77gFPKMSQXwuwd2UpnE4X8nbWUIGRcWLUl3E1SgghsVyRwywb+a7h3jvzh54GleltXOEKR5VQgEmmPLzlcoLPO/4Nd4w5DG/FvYgEUxTiUjPoMrGYE20dDj0dyUGLKl72Q6+cB3lPrNtdgYDt9TC7XNg3lY8CoxmpcimEIgHSJ0bi0Ppy2G1OaCZfiJC/3obLbIb5yBHIx3FF7hgMRt9hLddjf5CA5tnym6zguZy4/dByOO78GgXRUUhdtQo8kv9UshWw6ulzGoLEEIoCEBGxyN/NZ/iJbom2EyZMoMPjH3nkESoGErGODKUn2amM7jFr1qxW2Ra+rFy5stVjIpCT6XiQLFwynQhEQD4ex9rJCaQ3ITs7+4SOy2AwGAxGfyUoaDJmzdwLm43kTrX9P8joe6xWbqgvQSz2iqX+xLcdNisTbTsjIvxMOnWFfE2+Zz7daoOuNBLbI7ibV8LkwK6LtmanE0oBH3qHE8EHjyD/g72wyGLouuBoBRbePAISmRBITW79xJn3A8Z68HZ8gKkmM35TKWFxWXFEVogxxgzqtsVJ7K/hKzghkZAxJYqKtoTsbVVMtD1BmletQvmaWkDIGV8e35APzWo7osMVeHh8JPbojBgbFIzqsq0oEovoNho+r1PBluAo0CP9XzVJsIU9xgBxhAISiXf0otVaC6EwqdfOhc/nYeXhalibrbS0EU9vw7JqDR5K5s5t2PRoKtoSSqXDMPy556GaOwfClqLSDAaj73Ca7LDXm7AvVgpesw08hwtDNGVQm7lOI0dqPPkQcxvnr/I8j+TZRkaeB4HAa/RjnFp0zY/rA8lIPXToEC0iRsS6G2+8sW9axmAwGAwGg9FPEIkCIBKRm2+GX522kn7itBWHQSqNQ0DA6H7j/h0s5DfkeOaTLAFwOhVcpW1S8EPAR6ZS1uV9LY4IwprRyXhs5XJct6rCI9iaZHykXzeEE2zbgwxxPONFGFLGYRop5tTCfvUe+tdS0tyumeFkEBSpQEQSN9KuoVyPOh+XKKP7mA4cRDM40VIhB3aUa7C/rAkHChtxd1Ikvh6ZDIXThm1ab2fC1LhZXdq3INAbEWjXcDVeJD7fF+6IhN7knNEx3uNXGbGt5bNDCI1Vet47mgYHrONOZ4Itg3GSsFboaNf//kABRDweQqIUOEtf4Fm/RLkLs3+cjdLmUrjKttNlJMSnIUiE2JjL/NhyxoATbRkDk02bNkGpVHY4MRgMBoPB6D4ulwMmUymamnajufmgv5tzCjht+4dAqlSmY9rU9Zgwfhni4q72d3MGFaNEgThbp8dQixUJlmRUhklRY+VGp01UKyDkt82M6whrcTEcN1yP2CMuNISOost4Tgt+G+vE4oISvFNSQwuVtQufD+EF3yBD7CCVm+miffIt4MEAp84GR4sId7KxFB1FVN0uz+Oj+72fD0b3acwph0PI5RPLI2QwWrns5JGxatiqDTAdroezdA+2SbwC/5ToKV3atzDQm3vsaOLEf1+nrcV6jGirqwE2vwEsv7XH5/OfUdEQtHxGIutt+HlUSqv1xG3rJmtz+4XEGQxG30QjGIRAus6JoToXrst2QiafiZrwcXDygL2pXKZ7tDIamvOewZ5RauSlKqAMmwKFItXfzWcMlHgExsBl/Pjx2L9/v7+bwWAwGAzGoMJu12Hrtjl0Pjh4BsaM/sLfTRp0WFpl2noLgDEGDk6nFXy+uEvbzrfxMb+eyxLV2M7BRrnLHS2KKV2MRiAu2Kaff0bNiy+hNGgiKtI4ZyQp9LJ5QQTyg/hkIzxfVIXVDc34ckQSAkVtb4sksmiYZ12MjN3/IlskRr4YcEpfBs/8DI1IaK8YWV9iyc9H0dnnQCWQIm7sNRj/xJWISgk8qW0YTJD3SX2FAWipqW0MlAEabj6Y9ycOH/gQorw4RNc2YHsSd62VfDEyQzO77LTVCvTYqtqPCm0jJhTNxjhFOHg8Ae2AIp1+rfh6MVCbxc3PuA8IaS24doUwlQTTU0OxIa8O9c0W7C1twsQkrvgfIXVcODb/mA+bxYG83bWYdmEaxFImCRAaNdtgMBQgOuoCCARdd/QzGF3BVqaD0g68t8eEnJRA5EIPszAAQrsJedGAVsHDrIjxEPKFqK1fiSa1iE6ZzGV7ysO+oU8RZDIZUlNZDw2DwWAwGN25oT946CbqjApQjUR09IVttiFFyng8MVwuaytHKKN3c4VJnjCJSZDLWtQVxoDB4TBh/YZMCARKhIbMRmbmW8d/QgUXQUCwCYdip83qeTxZ7c127Qi7RoOqxx+HfvUa+jjElYVymwYmURBOu3oYrp8UgVeOVuO90lo6VFXM5yFA2FKx+xhqdWYcsVwBuXAvST+lyzZKR2CWmYtIkI8Jx8lEnJoK6YgRwMGDSNv5PgKqx4GXOu2ktmEwYa+rQ7PLG3tTAR8RVVyMOtFmqEPGolRbBw0pDkRqvISOgojPZdt2Bl8hglasx9tRXJFnQxmwcMYLiJh9JhVu2zDqUmDV49z8vq+B05/q0XktHhNNRVvC8v0VrURbItCmTYxA1qZK2C0OHP5+K6KOroWlsAAJX3/dbvXzUwEyYmb//mvhctngsBuQmHizv5vEGIROWwJPLEBVCRdrw3PaENhUgBUjuQHwk6Im0b9D0p9CaMhpqK75HWFh8/3YakZ/gMUjMBgMBoPBYLSDzdaA+vo1qKhYitrav9vdhtzgSlrcn32RT8gAQoKnIzXlAQwb+jJkMlZ0aaBhs3HWRYdDD6er/SK8vrjKuaH/LpcQiMjEdq2BPpbyeRgVcPxCLIYdO1F09tkewZYQfdYsXPT8XJx2VQYt4iXh8/FYSjSWj0nFSKUMb2bEg98iVGkMVvx1sAqPLT+Eua+tx8Tn1+D+X+uxqeRSz/5ekmtwI/QwFGtbHdtkdcDp7NucW/J9E3L99Z7HjZ992qfHG+xYsrOhV3ozYA8ZTZ75T9V34EG8BbEpHFtC0z3LpybO6/L+eXwe4hVxELo4gbagqQB8vqh9wdYt2vJbPFX7lwKOzj8v7TF/WCRkIu4Y5P1ssTtg93lvDveNSNhajaYffoBp9x5YC7z5mqca5RXfUsGWYLFW+7s5jEGGQ2eFQ8tF6uSrhWiu5+JS1NoiCJxW7E7jtRJtyXdEaOgcZA5/o8ujVBiDF+a0ZTAYDAaDwWgHk6nMMy89jlgoloTDbKmk4pTTaaM35YzBT1HRm9BotsNqa8DECb+xys4dYLU1ej8rouMXPWrQFEGmKQJ5JW2uZFij1AgWuVBhBsYGKKjgejz4cjkcmiY6LwgMRNTzz0E1dy59PDSydYzApEAlVo5Pb+UsXJVdgwd/bptN7TDFw+WQgCewwKnIRyVxZNYY4TTbwW8ZWv7Mn0fwy94KxAfLkRAiR3ywgvsbIkdCsByxQXKIhSful1GdPheihHjYSkph2LoNpiNHIBs+nI4MOFVdkj3FnJ0DnTKWzouELuyt59xvTrkQEPER7yqGyBiB3eG5QEs9uikxU7t1DEmgArGWCBRLK1GsLYbNaevYqasMA4YsBLL/APQ1QP6/QMaZ3T4vhUSIM4ZHYPn+SmhNNiz85yASEgPx+Ygkuj4sXoXQOCXqy/SwywJhEyogshugW7MGkrQ0nIr4ZtLHxlzl17YwBh/Wch3sPIDnAv7QGJDcsjxYk43qYD4qQoBgaTDS6oqBPx8G0s8Ahp4NBET5ueWM/gATbRkMBoPBYDA6EW1lUu7Gvj28OasuKuBJJZEnoXUMf2MwFqJJy7lCrdZGyGRMtG0Pm7UlJJQIY52Itm/vfxe/JMYh1ubAaxWJiI8iwmo0dHYHGmyduw5lIzKhvOkuHDpkw2lPnQtpdOvPIhGwdhQ1YHtRI7YVNeDBM4ZgToY34mBEglfYJfrnyNhATEsJgVIqxN+Vs6AzW2GoS0IkeDQT17HiZfAnnw1EjkBJgxEWuxP5tXo6HQupDRWlluHyyfG4dXbryDKj1Q65uGu3ZTyBACHXXovqp56GXSDB3g9XozrWhJSx4Rh9enyX9sHgMGblIKgpDHpFDIRpSbCaOWXWpeZE1TTkwWVMwwHLEfo4RhmDeFX3XmOSaxtfGUVFW7vLjrLmMiQHuiWbdhhzFSfauiMSeiDaEs4ZE0NFW0J+QSPyVXw02uwIFgmpuD/lXC4vN0JlQtFKzs2uW7MWoTeferEApMOVFBMlyOVJUCiOc30YjB4gCJBgy/RQPCky4aw/G8gSujy4MQcbhrmILR+TIicBuX8ChWu4KTCBibYMChNtGQwGg8FgMNrBbC73zMtkHd+oSyRe0cdqqWWibS9C3IMWaw3EopB+52AmbXJDxHqZrGNh/1TG5uO0FYm92ZrtkW/khiWXiwQQma+BKJLLsFUJBXTyxeV0Qvv771CfdRZ4Qu6Wxmq2Y6t2JOr5evzzXSVmXBuAg7U6bCtsoCLtkcpmorV62FpY30q03WIxw5YaAFeACM4gMSqVUswYGksLoN2K1+g22j25qFq7CqH29RDtXwUUfQvcuBZxQXKkhJlRpjHBane2OTcyOr2iyQSLrfU6MnQ988mVCJKLPa7c+cMjceaIjm/W1YsXo+7td2A0CbDfOgIoaobV7MCouXHMbdsNrLlZGFZSCp5Uij23LQN+z6bLnQHccOQ05EArGY1IZSTKdGWYHDW526+vMFCChGLvtSQRCYLmNdDpsmC3NWH06M9bPyF1LqCKBnSVQN5KQFcNqLr/P2VGaihCFGI0mW1wCPiwOZ34rbYJ18ZwnYzxw7zfX5KhQ2lUhPnQIdiqqyGKPLX+h9XXrydXnc6HhnLOfAajNxHHKHHYoILxcDPirdyIC57TArFIg91p3OOJkRNg234HyLePSyACEqeS7kEGg4m2DAaDwWAwGJ3HIxzPaRvmmSfFshi9h93ehC1buEJL4eFnYkTmO+gviMRe0cNmJc4ZRufxCB2Ltk6XkwpahEhrKGSuAI9oeyy2qipUPvwIjDt2wFZegbDbb4PD4cTKjw6jvqXYS2FxE57833o003JjbSHaW52Oyxh0c31MKBSLhuHx/AroHU6Uma04b18B5ocGQM7no1l3CGZTCRaMXYMhRRpSuQporoDl24thnfohhg5LQgbpaDDZYNBZYWyZyLxBZ4NRZ0FEoLTVMX86WkcF3QaDlU77SpuoQ/LHm6a0KiDlC18qRdAVl8Px9jtQawuhVaegsdKAulIdwhMCOnyNGV4cej2NmCBIhqTjUJXXHe1UiyByWZHkKMMotRl/z34XZcKedRoJQ2VIkiZ6Hhc2FSLUuRmapu30sd2uh1Co9D6BLwDGXA5sfAVwObhs2xn3dv+4Aj4+uXo8HAohzjpYSJf9XN3oEW19IREiRLQl6NauRfBlp1a1+vqGtZ75oMDJ0BvyIZVEQyjsvPAhg9FVdjTpEVtuhqRFihUkB+Pdc0cgp2YnfTza5YLYxOVqNwVKEShm7z8GBytExmjF+vXraQ9yUxOXB8YY3Dz11FMYPXq0v5vBYDAY/RKT2TceoeNMW4mPaMuKkfUuFgtXAZ0g4LcWu/yN2Ee0tTLRttNCZATRcUTbCl0FTHbuhnVI1FCoz0/15MX60rxiBYrOWUwFW0LdBx/AWlWFDd/mojSLE4idIh6WSs1tBNuMSBWumZqID68ch32Pz8Obl4xptZ78Br40KgRrJgzBZDV3w0z2sLK+Gb/WNmGNKQ5bMB2VvEBUzroQUHPfC5Lq/Zi78UEsq27Astom/KkzYB1s2KHi4VC0BEVDVKgZHwzdnCicfoyDNldnoq5el6T1bdn//XmEOs07IujSS8GTyRBVzYl/hJytVR1uz2gNTyRC7JIlCL3zDgSeex7umz8Er102GvZkFVwqERJRhABdAFQlDwFvj0Hc7/cgLqD7hRDlo8Mx/kpv9XfSMSGRRHgeW63e7zgPY67wzpOIhOO8D47HmPggjA9RYZiC++7c02xEkbF1RwVBNfc0mCVcNIhvEb9TAafTioaGjZ7HBw7egB07FkDbvM+v7WIMLrQ2O7INZiRXe2N+0kaGIUwZjgBpII1eCcpZ6lnnTJ3VccFCxikHE239yDXXXEN/HB47SaXSdpf7TkRc7QomkwnBwcEIDQ2FxWI5KecREhKCBQsW4ODBtoUc+hJy7OXLl3frOVarFa+88grGjh0LhUIBtVqNUaNG4bHHHkNlJZcD1Z1z9N2G7C8tLY0+d8+ePR3u69gpMdHbG98eBoMBKSkpuPfe1r3uxcXFCAgIwMcff4zBLhyT18j9esnlcowYMQKffPJJux0Qx07k2p5o5wVps3t/AoEAcXFx+O9//4vGRq+biMFgDHxMJi4eQSgMgEikPm4hsuPegDN6jK9z2dfR3O/iEZho2yE2q288QseZtnkNWZ75ITFDsSFBhnFbj+D2rBLsbeYyN427dqHi7nvgbG6mj+tlgXh40g3YtEWH7BbBki/kIeHsBDQKXEgLV+KqKQl4//Kx2Pv4PKy4eyaeOns4zhgeiUB5xxW5E2QSLBuTisdToiEjYbQ+8BxalBgasKnyJ7gu/Q4Qq+jys+o34JGjrX+LtAf/mP2FhchhnRgGy+womOdGwanghOr8imaszq7pcD/CoCAEnn8+wmv3gu/kqt7n7aqB45j4BUb78CUSSKfPRNittyLokosRppJAEaWEPS0AEPKRjlwENfq4a0PTe3ysOFWcp/gYcdr6/s+wWNq5xkGJQNIsbp7EIzRwTtmeckGkt7Pk55rWv1VLjjRgxT8mbJ3yPAzySBh27oSj5fN1KqBp2gmHo20GtdlMbPQMxonjaLZiR7WWdsIJTQ5YWjoTx0+KwkszXsLGizfi8/kfQ3jU2wGnHNN9dz1j8MLiEfwMEf4+/7x1lhERgnx71u+66y40Nze32o4IsV1h2bJlGN5SUZYImhdffDH6+jyqq6upMHbWWWehtJQbdtQfISL2/PnzqfD69NNPY9q0aQgLC8PRo0fx3Xff4Z133sGLL77Y7XMk25BtzWYz8vLy8NFHH2HSpEn47LPPcNVVV+Gtt97CSy+95Nk+KirK8xwCEQGPBxGDyfZz587FueeeixkzZtDre+2119JzuPHGG3Eq8Mwzz9BzNRqN+Omnn+h8TEwMFi5c2Gq73NxcKma7USp9hqCdAORztXr1ajgcDmRnZ+O6666DVqvFDz/80Cv7ZzAY/sXptMNiqezUZdvaacuD3cGJS4y+EG3bDuvtN05bGxNtO8Lq47Q9XjxCfsFfnvk0ixmbmvSosNjwc40GiyM4sbfws288Ny8bo0findEXIMGlQs5qb/706dcMQ9yoUOyaHEOFuJ4i4PFwW3w4rokJQb2Vc0ftr9mJxzbcDlJ+TmK1YZ6oEcHnfgr8eAl4LifuLPsWl2ROgG7Epa08vr5GycBjsnkviwqh8QturjO6ULmNy/Z97K8szM2IaCP0ugm59hrIx49HdUUM8nbVwmK04+jBeqSO84qCjPZx2J345N6NUAZJkTwqFNMuSMPuls4Bd55tgNXhfUL8pB4fS8gXIkmdhDxNHkqaS8AXLup8dMb0u4Hh5wKZ5wPSE4u8OC8iCM/lVcBltmNZtQYPJEZ6snmbqo2oyONMCpVRU5FW+Av0GzdBfZa3jYOZ+vrVnvmoyPNRVb2MzpvNXvMOg3Ei6DaXY21VHXihPGwWWyGs3YfI8dMRECKj6/k8PgSNWxGg5UaamFVqSCPH+bnVjP4Ec9r6GYlEgsjIyFZTREREq8cymazNdmJxx+4AXz799FNcccUVdCLzx/L3338jPT2dHmPOnDnUrelLQ0MDLr30UiqGuR2NRNA83nkQ1+TDDz+MsrIy1NV5HUeHDh3CaaedRo9FnKrEmajX++RHOZ1UiIuNjaX7I/tZsWJFK1fs7bffTkVO4kZOSEjwiKpudyoRMbviViW88cYb2Lx5M9auXYs777wT48aNQ3x8PGbNmoUPPvgAL7zwQrfPkRAYGEi3IW0govDPP/+Myy+/nLZdo9FQN6/vtfR9DpmIcNwZM2fOxB133EGFWuK8JULw/v3727hNieuWuEDJtSOvzeuvv06PdSwffvihZ7uLLrqIio9dvS5dubbEuTpx4kQqOJPjE3G5pKQEX3zxBRXMDxw44HGukmVdQaVS0dcrOTkZDz30EO3IWLVqVZvtwsPDW73evSXaCoVCuj/y2Tj99NNx4YUXtnt8BoMxMLFYquAieYI0z/b4oq1SmYHp07ZhzuwcpKU+fJJaeGrg61zuz6Ity7TtYiEyUcdO2/zGXM98ujQC27Xc7wgiLU1UK+C0WODcuoku04lkeGX8ZRimDsFCs/c38dTzUpE2PgJSkeCEBFtfFAIBdd6SaW70GAh43O1TrlmAgg1vQXMwEbwFL3u2D1/5AFJqdiFVLvVMaQrvJDxGgA0VC5GhkHmm12emwxnAuTJrGkz4Ya9XkD4WUUwMAhacgYxp0Z5lOdtYREJXaKwywGl3obnOBGOzlS7brfWKtjMihuJtqREXRkfi9aBANEcMP6HjkSJms2Nn4+rhV4Pn8zkghRbbJeU0YPy1JyzY2h1OvPp7FqTrqyHa34gSsxW7fM5zyKRICITce7o6chKcPCEMW7bgVMFKRwKQexARYmIu8SxnTltGb2Et02NfkAD8RitStRV4aM9SXPXR7ah99VXPNvoDSzxFx1ykGCGD4QMTbQcxhYWF2LZtGxXhyLRp0yYqlLkhguN5552H//znP1Twu+GGG6gQ6QtxixIx86+//sLhw4epGHfllVdi504uMLs9iFj3zTffIDU1lQp4BCIsnnHGGQgKCsKuXbuoM5K4FImQ6YYIj6+99hpeffVV6n4l25999tnIz8+n699++238/vvv+PHHH6l78ttvv/WIs2SfBOJAraqq8jw+HkR8njdvHsaMaZ1n5uZ41WHbO8fjcc8990Cn0/WqqPf8889T4ZAI8o8++ih1BhMB0c2WLVtw8803U6c2ub7kXMlzjqWgoIC+pn/88QcVY/ft24dbb721y9els2trt9uxePFiKoaT55P3JHkfkdeXOL/vu+8+6lol141M3XWDE1GZOMqJIN7VzozehnR2rFy50m/HZzAYvQ+fL0Fiwq2IiDgbQUGTO9lWDIkkHHw+G8B0KjltffNZWTxCxwxJfwqjRn6CYUNfhUDAOYvaI9/EOQ7FThfk/AnI0pvp40ylDAFCAfSbNkFs4ZxIO2JGYPnV03C6RgBei4t1xKwYjJ7X/czR7qAUKzEqjIt0qrPzUaI8iOaaHGDSf4GJ/+U2IlEFP1wB1HNF1brL5CAVJkz0irCvrS84brYtITY9CMpgTqQuPdIAQ1PfRKINFlw2G8p+9+aYVvEcWLanHIEWJyLFQsRLxZia/hC2w4IciRjfqwMgC0zo8fGa/j6Kq7bOxSNbLsNdo+5EkMK7L6tPbndfQAqSFdbp4bQ7wdfbwdNx7nU3UqUIyWM4w4hNpITrqY8Q9dyzOFUYkfk2ZkzfjlEjP4RCkeZZzpy2jN7A5XRBX6VHlpqIthZMqTpMl5ORGYjmzFsGQyFk5VwhQIJ0xNV+ay+jfzKo7y72ry7F/tXeIiIdERavwqJbR7Za9teSg7QCa2eMPj0Oo0+P73Eb//zzzzbOPyLAkelEIcPxyVBxIqYRiLBGRE2Sx0l4//33aTYqEeQIQ4YMoY7Jl1/2ugWICHj//fd7HhN3JxGniMhHnJPtnQcR8Ygblizj87l+gaVLl1IB+KuvvqJuS8K7775LBWNyPOIuJqIgcUxecgnXy0mWr1u3Dm+++Sbee+89GkNAMmKnT59OBT/itHXjdqe6HatdgUQXzJ49u9Uy4kZ1C6sjR47E1q1bu3yOxyMjI4P+PdbJfCIQVysRVEmsArnORLz1hYi4ZLn7+hFHNTkf0mZf3NfFLfiS5y1atIi+L8hr2dl16ezaikQi6twlURLk/UYYOnSo5/jkNXW7VrsDaROJqCAxF0QYJk5b0vFwLMQh7AvpuOiK0N4Z5LNC2k7iEcj5E4iTmcFgDA6ICJuScp+/m3HKY/F12kr6V6YtyTrm8YRwuewsHuE4KJVD6HQ8LFY9SkFyWXlItrmwbq0WrlFc8aTJgdxvi4rl3t8vDeOnIy05EIWJASjP0SBpVCimX5x+3A733mJazDTsrd1L53PMAqQE/IU43UIIzngRaDwKFKwCFGGkN6fHx3hjWhpmHKqBUyHCvGkJnZ4Xj89DxuQo7P67mEYx5O6oxtgzei4yDnYsRUUo/3sbEHcaffxPWQO25ZZBJODh8NNnwOxyIa/gDzS0RJZNFAZBJPDJt+0mDo0ZtirO3erQWiCRdZJp2x5WA9DDavLnjonBvlIuAkFQZURDsrcYEmH49Gjk7+LaUVApRWYnUW2DDdIhGBIyy/O9brc3M9GW0SvY64w4IgVsfB4kPB4mV3uz2y9teg1JK9djfqAYizWc298pkoAfP9WPLWb0Rwa109ZqstOe5s4mk477kPhClnXlueQYJwKJJCAuSN+JuCNPFCIkffnll62EPDJPhp4TZyKB5HCSrFVfpkyZ0mY/zz77LI1FIKIYEamIaHtsjqvveRAXLhGIiWDodvaSY5ECX25Rj0CGyJO2ENcsyewlhb/IMl/IY/JcdwEvsn8iLpM4g3///Re9zZIlS+gxSD4pyUrtzjkeD7dDordvJkjkBYk0IAKib6QBgbyuvsI64djHBBIJ4evQJe+B7lyXzq4ted+Qa0deLyLkEqGZOGpPlAceeIBeCxJvQd7HJO6COJ+PhTjMfT9f7k6ME4W8D8n+iLuYCMjk/EinBoPBYDD6xmkr6WdOW64D+WakJN+PhISb/GB3mgwAAQAASURBVN2cAU1p8Xo4Wn4jJVtUOBDjjTaYHKiE02yGfdNGTzRC0rxZkMiEOOv2UZh0dhLmXT+8w9zX3mZatPc3Ua6ZD230FhiPVgICIXDBZ8D464EbVgHByT0+RrxMglcuGY3Vl0/Ei8M7F18dOh3Ufy/xOLj0Gq4zmdE+5qxs6JTeTv2DBu43f0aoEvwmK9QiIbYX/e1ZPyW0tbmnuwiCvO9ne5OFdgq6sVg7yLR1U3UQ+O024JU0oOpAj46/aESUJ5YjpsGOj4e1jpGLTg+EOpxzwVfkaqCta30PdCohlXL3RBZLtSciicHoKdZyPY6o+VAbHLinwIXm+MWoDRsDTXIoahV27KjegerGLdg5JhC5aYFwkSxrIRu5yTiFRFuxTAhFoKTTSaZq+8Egy7ryXHKME4EIXURo8p26WmTseBBhtaKigg41Jy5GMhGnJBEY16xZ0+X9vPLKK1RkI6IUcVcSkYqIUyRftqPzmDBhAs1WJW5UkqnaW4wdO5YWCSMisslkopEPF1xwQY/3R1y7RFT0hbhnO7oGJ3KOboEzKSkJvQUpeEVcs8Q9S/JdSQRDf4U4vEkswtSpU2m7iet3+3ZvhcyeEBoaSq8FKcRGIhmIkJ+V5e29dENec9/PV1ec0V2BRCGQ/WVmZtLCcqSAHMnnZTAYpya1dSuRX/ASjmTdB7u985E6jO6JtiRvUChUo7+RknwPEhNvQWTEf/zdlAFNWnMtthWX4evKalzYOBJ71V6n3yS1Ei67HevGLUShOhpbo0ZgdiYnrJAszvFnJkEkPnnOwKEhQxEo4eoD5JkFsAvMqKz6mVtJ8kfPeh2QnXgH8UVRIRii4NzGncFXKiGuLsSwrC8wddv/YXxK8wkffzBjzs6GXsm9h0QSFwwten+Gi4+SD35B+WsbsaWeG8ZMmJJ29gkdT6j2ira2RhNqTU0QClXHL0TmpmI3sO8bwGYA9n7do+OHKCWYmc6NVKhpNmNnsTdn2t0BNcwnFzlr8+DPRXY6be3Gjkil3OvgctlajfRgMHqCtVyHy0tseGWTHiInD40hw2GQR2B3Gs9ThGxM6FBYpAI4xlwMwawTH23NGHwM6ngEElvQ0+iCY+MSBhrEgUlE2v/7v/9rtZxkmpJ1JN+UDFEnGbG+HCukkVzUc845x+PYJe5JEiswbNiw4x6f/PMn4hgRVwnkWMTlS0ROtyOT7JtsQxyLAQEBiI6OpstI9qnv8X3doWQ7IkSTiQi2JBqgsbGRiqxkGD5xBncVUmCNDK8nGa4d5dp25xyPB4kSIG0nBat6g5qaGtx222147rnnqMuVvLZEECXFsIj7l0Be12OzfdvL+iWuaeKmJa+/+z3QnevS2bV1Q15jMj3yyCPUzUtiFSZPnkzFz+5ct/YgRdTIe4Ls+7fffoM/IO8lUoztlltu8byWDAZj4GK2VEMsCgGf37UhsXV1q1Bd/SudJ+5LZcsNOaN3CpGRol+8lgJQjIGDzaZFo2YLLUAmlyV4BJE2lO+B0uXCaIsVpfbxOCLiRoWly6W0UBfESoivvg7fHjgTTRYz7g7p2TDx3oDcZE+JmoJ/iv+B2cWDNm8BAtB6RFIrbCagcC2QseiEjlurM0MiEEAtF7X7mzTk+utgeeBB+rjhk08hnzDhhI43mGnKKYVdzo02dKhFgJVzJqcYDCiZ9gRsThf2lsvJC4sIhxNJiVyMQk8RBHHi+8vRn2Nb9kHYs+34ZsJ/qPtVJm0d49WGzPOBFY8CdhNw6Edg/rOAqONs6I5YPCYGa3M4gXj5vgpMTm4dFZYxJQo7fiuC0+lC1toiRP3xAiLuuhOyUaMwGKmqWoajxe8gNGQO4uKuhULBRbj5fkdZzJWQSroX38ZgHOu0JfKsw8j9TyOENGbj3ViuAN7Q4KGYMeF7mmtL4pYYjPZgv379DMnjrK6ubjXV13uHAvaEuro6WlTq6quvpi5A3+mqq67C8uXLqdBJYhhIMSkyzJw4TomIRsS3Y92oJOOVuDmJW/Smm26iguHxzoNsR4aJk2JdZDg84fLLL4dUKqVtIgXNiGuXbEOKmpE8WwJpB8lAJU5M0h5SFI04e0khLXdeKCkelpOTQ4Vj4q4kOagkx5ZAipIRFzFpAylK1RnEmUrEw7lz51I38d69e6mTl7iU//nnH+qc7M45umlqaqLbEFczee2IuExeW5Ih7G7riUIKeRGx9O6776aPiYBKXj+y3B2TQNr3999/09eNXOcPP/yQntexEQ3u63LgwAEaJUAcq8TF7M6Y7ey6dHZtyWtKxFTitCWvCYm1IO1x59qS60a2Ifsk733yOvcE0h7yvt+9ezd6CxI74RutQF6jjiDvJZKD/MILL/Ta8RkMhv/YufNsrFs/DLt2d21Eh0TszVu1duacYnSZ8eOWYfy4nzF8GJe/zxhYGAz5OHz4DuzbdwVKyz7reMOKPfSPyyXA7oA0uLty3Xm2hJtnpeA8owSXaWXY/fdROB3em+CTzdQYb+ZgvkEBR7kDLls77dHVAF8sAr6/DMjqWaeyzmzDSytyMO3ldbjrL6/781gCFiyAMDqKzus3bIClpWAsozXEXVlf6R3+Xyvx/t7/JlWG1ZiPYhMflpbfy1MFgeCR6IsTQBDoddpaXBY4XA6IIq5AxpBnkJDQUsCuI6RqYPhibt6sBbL/6FEb5g2NgKLFkf7XoSoYrXbUWEiONIc8QIyk0VwEjdkmQEmeAbrVqzFYqW9YSyMQKiq/g8PB5Q0TpBKvaMtybRkngsvuhK1SD6fLiToH5+oW2gyQyvUoa/nJOCmK6zwinQZyOcshZ7QPE239zIoVK+iQfN+JFNo6EdwFoYgYeSxkGSlg9c0339As02XLllERl7g1P/jggzaCE3EPklgCEolAinYRIW/x4sXHPQ+SL0ocnURUdRf6IrmrRAwlYjGJFiBCJmkLKVjlhoiF9957L+677z6aoUv2SZzARDgmkAiA//3vfxg/fjzdBynqRURJ93B3UjiLiKTEddkV5ywRGonIS6IfyPB98rq7hVCSyUpel+6co5trr72WbkOKjxHXJckBJhm4l112GXoDcn1Xr15N2+w71J8MzSeisDsmgZwDuaZEtCXXl7SfrCPn7QsZ4n/eeefhzDPPxPz586nwSLJ9u3pdOru2ZD0R2s8//3wai0CEZeISJh0ABLKcOKZJZjApKEeE+Z5A3N+k/U888QR6i5kzZ3ocwmQaN27ccbcnry+JzSgr67wAIoPB6L/Y7QbYaGEpJ3i8rg27FvtkFPrmsDJODJksFmr1GAQFTUZ/FYCIm9RgKGKxGO1gs3k70Ynbtl3MzUBdDre9KxF7g+WeVVMCvcV6GysNqC1uRnO9GQV768AX+O82Zmq0V7Tdq8wGHC5YK/VtNzzyq0eQxi83eee7QZXegg82FsFmd2L9vkoUNHgFJl94IhFCrvZWHa/79AsYtD3rCB/M2Coq0CzwxqDlmLnXyCXgoSBchUaEINvmFWmnTOJMCieCsEW0TbBwojqhsKmw6zsYe5V3fu9XPWqDTCzAGZmcIUNntmPC73txw+HWBZKHTecEyyBNDkQ2Itp2PVJvIOFwmNDYuJnOi8VhUKkyPesiIs/GxAm/Y+aMPQgPPzF3POPUxlZtoP8bjjiccPfpBWlyUTwimLr4CZNIv8nK/wOKNgD2tnWWGAwCz9VemEsfQgobqdVq6gYkQ68ZDMbJ48Ybb6QCKnHUMhgMBqN99Ppc7Nh5Jp2PjFzcJZdnTc2fOHyEu7lPTX0YCfE39nk7Gf6nuORDFBb+j86PyHwP4eEL/N2kfkVl5Y/IznmEzg8Z8ixiY9p2YGvzV+LVlTcjzWrDMMN4hAsfQf2tmdimNeDCiCBI16yCOCUFew7xsX811yk6/cI0jJobB39y0R8XQWIWYkxxCi5smIfAM5OhmnnMUHdym7X8FuBAS4e0MgK4YQ0Q2L22z/xyO0qzSUcSkJERghXXtN+J4TQYkDN3AQpCZqA6YhIihkXhnPvbFqE9lWletQorPjiIujDO4PGJygyNwAVnoBjWSWF4wPU8VlVnocLGBw88bLh4A4KkJ5ZRTG63K5/chq3ivXgm7kO67MYRN+LOsXd2dQfAu+OBhgLu8Z37elToblN+Ha78dCedd4RLYRsTgu2ThyJRxonKLqcLukYzNHf/F8aWkWvJf/8FSXLPi+r1R+rq1+DgQc7hHB19MYZmsFFyjN7HeKgOL+48CkORASkNnOQ2JPdbLF9YgA0RjRDxhdgszIA8t6XoIfnfEDvev41moD9qo8xpy2AMYl599VU6pL+goADvvPMOvvzySxpjwGAwGIyOMZnLPfMyadey8Ylbx43VwoqXnCqQ3GM3VisnqjG8WH2ctr6vlS95yiAsVynxSgj3VxahwFi1ArfFhyPUaUfF/z2GwsXnIftfrngsX8BD+iQuWsuffLfoO3w282Nc1DAfFmU5CpqfR17+c603Im6q/7wFxLc4c/U1wHeXAJbuubLfOSsTLiHnzMrOacDmsvZjwPgKBUIuOh91oaNhE6tQXqCDXsPltTI4LNnZGJrzNcbtfRVxiQY08TkxxUmybQHEOHNRbeN5is6dqGBLINFkJCKhPaet3a6nUyc7AMZc6X1MCpP1gKkpoQhTSaAOkMAZwBXi/rna+17i8XkICJVBebp3tOZgdNvW13ljH8JCe6feCINxLLLMUCwfIofIJ8820FqGzaHcb4UEoQWSghXcCnkIEN39GjuMUwMm2g5Qhg8fTofdtzd9++23/m5ev2CgvkbEBdtRu8nUHUgsAyk6R2INSFTC22+/jRtuuAH9GXJtOjp3ck17A1KsraNjsExaBoNhMpW2Gp7fFSQ+8Qis4nTvoNNlo7z8W9TWroTF0jZPvz9ACqS5sdJIDYYvNh8hu6N4hLwmb/ZqvHk4RFHeHFv9xk3kA4nG4GGw8LnYhMSRoZApOcHJnwj4AgjD5FCdHYPy6S+hUf4vKiq+g83W1HpDoQS4+BsgKIl7XHMY+Pl6wNn1IqyjQpQYN5ob2k7kxPv+6DjbNuTKyxFV58735yF7Y0kPzm7wYs7OgdBhgbr5KGqSAuFqKfVARMwYRy3CeXo8H23EW7NfxS2jbum14wqDJIiwhULs5MThvMZDWL9hJDZsHIWKiqWd72DUpYA7rmf/UsBh73YbBHwefrttGv6+ZwacKVyxzJ9rGqkT2BeVT8Sebs3gyrV1uZw0z5bA50sRFOSNOmEwepOjJiu0BitiWmqWNwlcKFlyLRwC7ktnJKwQuLPZU+eRHkk/tpbRn2El6gYoJMvVZvOGx/viLux1qjNQXyOS2UuKXvUGP/74IwYaZ599Ns0Mbg+RqGtV3DuD5M6aTC3/QY8hONibc8ZgME5NzCav01Yq64nTlhUi6w0aGzehoPBlOp+Z+Q4iwrnIin4r2jKn7fEzbcXti7b5Gq9omypLgjjaK9o2r/iH/q2KnOJZNnSK163ob4gzUT01GVF556O8/Cs4nWYaCdGmuJQiBLj8J+CTuVwxqfyVXI7hwpe6fKwlZw7H5EM1gMWJmtJmfJddhUuHtn0thGFhSB8TiKMtb8fs9SUYf3Z6m0K0pyoCtRqCkBC4LBaEpyVitLYM+8q0cKlFSHPlILjJhsxsPYTVHwKTb+214yomREKaEYyk8kTkGvNRaaiHOcgAEY909HXhf4YqAkhfAOT+BeiqgILVwJDux7FEB8ro3+lBSmzS6FFssmJPsxHj1d7PnTguDuL0IaiqF0BUpEVsbS1E4d6OyYFMs+6QJ3c+OHg6BILWtT4I9Q3raRFFMmomLe1RP7SSMRjYrtUjocwCAe1qA2yhYhRavXVPphh8RkGkz/dHExkDBCbaDlASElh1wcH6GpFCcaQ42KkKKThHpr4kJiamT/fPYDAGNiaz90e1TNo1p61AoACfL4PTaYKFFSLrFXwLuolFXFXz/obIZ8i/r6uU0V48QnCnou3WhROQLQWmaA0YJQR069bDKlKiLmSEp8J9/PD+1blKKoMbFdPQ7PgKAQKgvPxrxMVdBz7/mNus0DTOcfv1uYDTDux4HwhNBSZ0bQRUpFyCRZPj8dcGrnjUc/9k4+KMSPDbEWPjbrgUIc9vQYMwGjqTENVFzYhKUffOCQ9wol96kTpLnVothgQGoixYjO1FlXRdKg5DrbVBSNxvhWuAMZf36lBpQtqmIcgtyocTLtTYeIgVu7o+koAUJCOiLXFtO06saNEFEcFUtCX8VN3YSrRtqjViY8LNMEaLEVp/EOlr1yHokosx+KIR2hbtJpSUfISmph10PinpDgiFfXtfwhic7GwyIKbaWwwyakgQbprwICYLj2JL+RpMyTJyK4iDPuU0/zWU0e9h8QgMBoPBYDAYPphMnGjL44khkXRtZAZxsUkknNvW2hXXFKNboq37te1viMVeAZHFI7TFZmtsmeNBKGwrGjqPbkR+wxE6Hy2PxGfVBjxbWIkbjhRDv3EjYDajJmKCZ9jokEmR4Av6z+3LpvJNmPPjHFy1+h7kIIMuM1sqUV/fQQ5o0kzgrDe8j/NXcUWmusgrczMglHNisKHWhJd2HW13O0lSEkbf4BWkcrZVdfkYg53srZU4uLYcVTUuOOxO7G7Sc5mxPB7SkAt1s0/sQFz7Bd9OhJTAFM98tY3fvRz01NOBa/4C7tgLDDv7hNqxKEwNqckBnsaC32ubYHV6czcDQqSAmHOgNoQMR92aLRgsuKMRCCEhc9rdRib1mjvMZk7QZzC6g2F3NbaWNSIHDViJo1gps2DipGg6IsfetB6z+FaoTS0ROXGTANmJZ2czBi/951cPg8FgMBgMhp8hDixzSyEymSwGPF7XfyoFBU1BaOhchIefSXPzGCeGbzawWNw/nbYCgYy6rAksHqEtNivntCWCbRvnKYCKnN9hcnE3rrECNYwt+X6TA5XQrfwXRM6sivQKZxlT+080AiFaGY1GMydM5zZ6c3bLyr88vlty2l3AxP8CF3/LCYZdRC4W4Po5XtHv8y3FMDjaz8ZNGRMOkYQTu/N318Bm7XqG7mDm8IYKbP4pH7+9uY8TbfVcXJaK70S5rgoviwPwu1KB5sA4QN37I7NSA72j6eqdnDBqsXbRaSsQAonTSRjrCbXBbHPg6o93ABurITrSBI3NjjUNzZ71pGNk2Kw4Ou/iCVBYLoLT2OIKHMDYbFqYzdV0PiBgdIedgRJptGeeibaMnlBWqEGp0IUF+7fg5fWv4sH1TyO1Lh+VVT/D5bIipNHHKZ82z59NZQwAmGjLYDAYDAaD0YLN1gCHg7s5lXYxGsHN0IwXMGrkRxia8Xy3xF7G8Z22fL4EAkH3CnH6I9eWibZt4fGF4PFErRzJvuTX7PVuqxrqmZ8q5kO/fj2cfCEkhkrYeC6EJwYg2KdIWX8gWZ2MCDnnxj9kLAF0XLEwMrRap8vq+ImnPw2c+QonwnWTh6alICBcDmd6AK44M73D7YhgmzqOyyG1mR0o3MXEJ6fDiYYKA51XhcpQ6XSg3sY5a8cHqlHGH4u/lQr8X1gIaqK5SI7e7BC0ay0YZknFm5mvYOX5K3FuBNcJYbHUtikG1pdIRe6UTYBvsIOns+HnGm+UCWHoNCJccm2qG7UYPCmXhTuQEYnUmDF9B8aO+Q4pyfd2uB1z2jJOlJ06A3gGO6aUH6KPQ0xaSGJjaLFKQqivaJt+hr+ayRggsDsKBoPBYDAYDJ+M0unTtmHc2B+QnHS3v5tzSuMWbYnLtj8XURK35Nra7U1wOtsvgHqqMmXyKsyZnY2JE35ru9LpQL6uxPOwXON1t40/tA8usxkCpx3lplyUzQjGvGuHob9B3pdTo7nq81a+DTVVIz3rysq/Ot4T2y7TVQO29ouk+sLn8/D7zVOw6dKJeHJILBSCjiuOD5nMiciEA5+vR3/A5Tx54uSxHLnyNuquJRQ7bFj00jpMzTXig/Q43BgdiL2aXLouzG5Havzs3j24E6h+aSesnxxF5tYI6tKWtcTvkAJ2druu+/uszwcaCnvUnMVjvMKkotqMGIm4lXAcECJD/DDuu03XZENZjjvqZGBDHP9BQRMRHDytw21aO20rTlLLGIMFp9GGPUInwkprkN7EjdzSxSXhqr234tuqauQa+AjStox8CIgFwvvf/zZG/4KJtgwGg8FgMBitsmnDERg4Hmr1aH8355SFiJ+2liJWYnH/zLN1I2px2hLcbWa0/kwJBPK2K+pykc/3ikSFCm44drBIAOU6bybspphRmD08AoER7eyjHzA1hhNtCTkmIQQuzg1cU/MbrNYuCl1VB4CPZgO/3daljNtEuRQJMkmn20WlBEBu00BkbYa8MhvG/fvhL0g8w5af8/HxPRvx13sHYNaf3A4Op9mM+haXLaHQZoHB6kBJnQHnRAdDaS+EycW5bqeYzOAl9G6eLU/AgyCAu2aOJq5qvFjCOaG7FZFA0BQDny0A3h0PbHy1R+1ZNCIKQj7XeRBcb8WTKdFtOseGTfeKl1mbTx3HaSunreXUOW9G72At12N/IB+X5zpQkHwuNOpUOKePwhHNUWzSi7DNJETzmQ9zETljr+xWRA7j1ISJtgwGg8FgMBi9zMkc6jp4C1i5+nWerZvUlIcwadIKzJi+q9+3tV9RsRvTTGacqTcg2aKCTsa5QqcEKqFevBi7k8ehSh6MrLAUzEzvv8L9lKgp4LUMNt8nz0OQlisAJpFEevKxj4vVCHxzAaCrAg4vA9a/2O02lDUaYbb6FNBqgS8Q4PTZfEzb9n9ILfoVjZ99Dn9QntOI75/Zgf2ry2CzOFB8qAE/vbQLDZX6k9YGS14e9AqvGFfq5F6vNKMTDV9lYUvxZs+6KURPDh/e620QBHGirdNgh9PqgETsFW2tlm4UsFRGADUt8RtHfgXM2m63JUghxuwh3PFrdRZsL2ob75I4MhQylYjOHz1QD2Ozz5DuQfw/WSLxZmczpy2ju1jLdbg2ywKlVYXS+NNRHjsHR0d5I56GBwQhYOx9XETO7If92lbGwICJtn7kmmuuweLFi9tdd+DAAZx99tkIDw+HVCpFYmIiLr74YtTW1uKpp56iPaHHm9z7J/M333xzm/3fdtttdB3ZhsFgMBgMxomj1e7Htu3zsGHjaBQdfdPfzRkU0QiE/i6EKhTJUCrSaG4ryzLuBhV7cK7egJfrGnCp8VqAx+W7TlYrIZoxE9mL7sTDZz2OMUmhUMs44ag/opaoMTyUE/iKpZWw547DyMyPMWXyGgQEeOMSOkQsB85+m3gxuccbXgYO/NClYzfoLXjst8OY9ep6zP9lX7vCVMzFiyAObRnmvmoVrMXFOJlsW16I397cj+Z6zl3qhjxe9r89KD7k/az3JebsHOiVXtG2VsDFJAx18WEuasCG0p886yYHD+tR3nBnCAI50bZB2IRfDy/DN2XZyDPzPbm2XUYkA0ZexM3bTZzY3wPO9YlI+HVfW3FSIOQjoyViw+lwYc/rPTtOfyAn51Hs238Nysq/hsNx/BgSgUBKo5IILNOW0ROnbXy19z0Waq/AOpn3e/eSKd+0W5iTwegI9suyH1JXV4e5c+ciODgYK1euRHZ2Nj7//HNER0fDYDDg/vvvR1VVlWeKjY3FM88802qZm7i4OHz//fcwmbxfHGazGUuXLkV8fLyfzpDBYDAYjP5JecVSmkVZX7+u225ZPl8Eo7GIZhNarXV91sZTAZfLAaViCL1xlrTkPjIGFhrNdhw+cg/y8p6FVruv7Qble+gfl4uPf8OGeBZPDlTAYbAj9rAe12uk+K86CP2dadHefMyDqITaPrF7Av6QhcAZz3sf/357l7JKiUPym20lcDpdKDlSj+/L2gqgfLEYQVddyT1wudDwxRc4mUQkBnjmo1LVOOeeMQiNU3oKpP215CD2rSrt83aYsrKgU3IRHBA4YWjRyHXBYhzN0KDIzGXKDrFYERo/vU/aIAyU0r+FknI8dehZLCvdDU3AfzBx4l8IC5vfvZ2RYdVudnwIONo6rTtj7tBwKCWceLTicDUqjRbsb+YKcboZOt5bRLCgRAinoyWLcwDhdNpRW/cvGhs3obDwVfB4HedAu5G25NoSMZ1llTO667StNXk/R7GZodhXx0XTRCoikRCQ5MfWMQYiTLTth2zZsgVarRaffPIJxowZg6SkJMyZMwdvvPEGnVcqlYiMjPRMAoEAKpWq1TI3Y8eOpcLtL7/84llG5olgS/bNYDAYDAbDS0nJR8jLexpHsu7pdvErcauhrky0PRGIQ3HSpL8xc8ZOJCfd6e/mMHqA3pCHmprfUVb+BYzGo61XWg1A7RE6a3PFY3sIJ+KpBHwMU8qQu6OaRrvabU6o5GL0d6bFeEXbPYpsWEuau7+TybcC41pGwDmswPqXOn3K0KgATBrKRUfwbE48szoXJgfnIPUl6OKLwZfLYREHoGhtNuwNbYfC9xXJo8MwdGoUZl2ajnPvHYvYIUE47/5xSBnTEnnhAgxaS5+3ozm3BDaxis5rpXyPsfmbkUr8FpgDV8uCUcExwLBz+qQNbqdtgsU7/L7SYoVKmQGhkMtC7jJRo4DYidx8XQ6w7+tut0cqEmBhJnffqLfYMfm3vbglq7hVh2VQQggiUY6Yig0YfugjWI5wn9uBhFa7lxaKJISEzASf3/Y75djoB5VqOAICRiM8fEGnzlwGw42j2QKr1oIGvow+lprq0DwhDGYHN9JgoiwavP3fArpuZFgzTnmYaNsPIaKr3W7Hr7/+2iuZeNdddx116rr57LPPcO21157wfhkMBoPBGEwQN46lpeiIVNriyOoGZHi8+6eVxdqNoa6MAQ0pPlZZ9TNKSj6kDm0Gh83qLcomop8NH6oOoI4PWHiAxZWOW/OtWCyS4Yb6cuhX/IvsLd6h2hlTvGaE/kpmaCYUAgXUdiXUDiUsPqKtXp8Ho7ELkQSkk2jes4Cs5bU69JM3t/Q4/O+s4Z46NsbCZryR23Y4tyAgAHlzHsbWKc/hUPrVqPt6KXobcs+Ss60Ka77ManP/ctpVQ5E5Kxa8lsJXIokAZ9yYifGLEpGQGYKp56X2entatc3hQH21VxgucnFuUZdUAEgE0DkPeNaNHjIfiOibau7uTNtwezBkPE7UKWgq6PkO5z3jnV/3PGDh3MI9jUhwVRpx1GTF3mPctqfNlWFI/o9Q6cuhW+0tEjhQqK9f7ZkPCz29zfqKPA2+enQrdv11FA57S2xGxvOYMH4ZRmS+A5HI6xZnMI6HrlSHlQoXqTxIH6ub8vGX+B/P+sm1R7mCk6+lA1qWl8zoGoM6TGP3n79iz1/LO90uPCkF5z74RKtlv/7vGdQe7XxY0rhFizH+rHPRm0yePBmPPvooLrvsMppHO3HiRJx22mm46qqrEBHR/SGCV1xxBR555BGUlJR4nLwkMmH9+vW92m4Gg8FgMAYyFgtx93E38zJZ90VbMuRSLA6h0Qi+mayMwQ0ZPpud/RCdj4q6EKGhc/zdpH6BlRaT4xCLjhFtFeF4PG0ctplrEGutwKvFWvz3vEzUfP8OsncWomnsA3Sz6LRAqMPk6O+I+CL89J8fgVdLwLORTOZmmEwVyMl5BI2aLYiMXIzhw17rfEfSAGD6PcCqxzkLKhHiLvn2uE9JCFHgrHEx+GN3BXgOFz7eUIjrUyIQIWmdAywfkgLX3iY4hALkrsxCxH+N1H3bGzTXm7B+aS7KsrhrHj88BGnjj3/PQgTcSf9JptEO/BYx1w0pVkaE3d7CWlICoUGDiJqd0IcPQTk4wdQZIEKQ1Ym8Zu6eTwgXJkR5XdO9jbDFaUsK1yUiBtkoQIW+AkabEXJRD65FwhTOFZz1G2CoAza/AcxtfU/bGZOSQxATKINCLcFhNXcdfqrRYJza6/xVzZmDatIz4HJBt2YNwu+9BwOJ+oa1nv/RISGzWq2z2xxY900OFWt3/nEUqmApEkeEYvvvRRgxKwYhMd4CUozjQ6KhyKgK0pFptWnoX6UiHcHBffeZ6m9kBwqwS+CAezyzRWLEHm026bKhjydWtDjVQ9IAtbfDhME4ZUVbq8kIfWPnw39UIW0LXJiatV16LjlGX/D888/j3nvvxdq1a7Fjxw588MEHeOGFF7Bx40aMGDGiW/sKCwvDokWL8MUXX9CebzIfGtq/i3owGAwGg3GyMZm8uYoyaWyP9kGqgbtFW5fLyQpTnQKIxFzBGoLNR6g81fF9LUSiY3JpQ1ORz3fByQMahXYoIQNf7oRh4yZUJZ7v2Sx85DFibz8mTh2PxhEm6piVJARAJAxAs+4wXVdT8xdSUx6GRNISCXA8Jt4IbHsP0FcDOX/Sgm2IGXfcpzx+Rgb+3l8Jh90FZ6kejx8swUcTWrtXh5+egpy9XI5wRcBINC37BcFXXnEip0wF10PryqnAZbd4s06rCrUdirZOsxk8icQTP3OsYFtb0ow/3z2A2Zdn0GiF3sCclQ21rhjq7GLUZl6DHFsm1xa1GGP4IlyYmIydNXthdPIQqEpDX+GORyAk2GKQLeRctruKvkCqMggxMZd2f6enPwXk/A2Q3FXyvhl3LRDY9U5HAZ+HNffNgo0HjNhyGGanC7/VaPBMajTEfO7/lzA0FLIxY2DauxfWwkIY8gqhSE/BQMBgKPLEs6jV4yESBbZav/uvYmhrufiDyOQABEcr8O2T22E22NBYqce5943tdlTSYBh1ZLM3wWZtpN/jbgHWZm1omW+kIylSUh9AgIr7LBE0TTtx8OB/2+xv/LifoVafGrGMux1WxNaT94sLTrhQPD8cJVbucxQnlCHC3pI9nX6GfxvKGFAMatFWLJNDGez9Id0RsgB1u8u68lxyjL4iJCQEF154IZ2IYEsyaF999VV8+eWXPYpIuP322+n8e++91wetZTAYDAZjYGM2l3vmZbKeFesUS0IBPTEk2emNjVjMOkl7Qnb2IzBbqujrNzTjpX5daVkkJCIAd5NmtZ68rND+DrnJdyM6xmmrtWhRa+IiRBLNMRCFKmDYvBF2uws14ZxAaYULIyZzxYAGCsEXeQuqEWKiL0ZJ6UdwuWyoqPweyUl3dL4TkQyY9QDw132AQAJUH+5UtA1XSXH11CR8trEIPBfwz7ZSHMqIxgiV9z4lIikA6iAhtBo7moKGwBrhFRB7QmOlAWu/zkbNUW8UhCJQgtmXDUHiyNbfe3aNBrUvvQzj3r2wlZVBFBuLwIsuQuB551JB0A3Jtv17yUGYdDb888EhTF6cjLFnJJywaGbJIU43jgJ1NNAyEMIVIMKk0ACMKMzBmCYtmgNlkKCb2bLdgC8RgicTwmW2I8ER7bkT35r3JpwqIaKjL+n+uQYnA5NuAra9C9jNnOt2KnfP151sW1IibUGoGstrm6CxO7C2QYcFYd57ZNXcuTDu3YeS+NOx9Z1CXPJsLL3eAykaITT0tNbryvXY9y/XWcsX8DDniqEICJNCIhdS0baqQIu8nTVInxgxKIRb0pnc3HwIVltDiwirodm9ERGLPNuQzub1G4bT3zCdEWO6rJVoKz62c66F+oZ1p4xou7dci/EmLh6mWuACL/AvOFuqHk7x/W5Jm+evJjIGIP33F3AvQGILehpdcGxcgr8Ri8VISUmBwWDo0fMXLFgAq9VK/+GccQbr2WEwGAwG41hMpjLPvFTWM6etbzEyi7WeibY9pEm7B0ZjIQQCBYYPexX9GSIoEycpdSQx0dYDcWkRSNEfgaC1ySFPk+eZD0gcBkFiAprf+xx1oaPhEHJD17VhIgSo+n8RsvYgw92FfCFiY69ESekn/8/eWYA3df1v/I1r06Spu7cUWijFXTZkyMbc3d3tP9fffL/pby5sMDY2bDB8OBQvbaHubpGmcfk/59w2aaGFFgot5X6eJ0/OvblJ7k1u7s19z3veLwAnKit/RWTEPZ0WQTqB1JsBXQUw8q5uD6F9dFosFqWXwmxxgFtlwlP7i/DPFJJ3ywgG5H7Q5HDsWV5Ep8uswTidtGAyjPzgulLs/6cETrsnu3bIpBCMmRsOZ0k+TJk1kCR7xByeTAb9unVwmZliPLaKCtR/+CHqP/0UXhdNp4XSpKNHQyTh00iM/P2MoE/WlYjDU29KBF9w+nEJqhtvhDg5BeZjR3HTdTOx5Z9ibBI54FQKMSrcGz5bK+CjtQIVJuAiDSBiCpadDQIfGw6uTIBhNRxg42I6r8bGhdNpgd2uh0BwopnolEx6EqjJBCY+AUR3HP7fE64M9KGiLWFpbdNxou007PkjGyWRcwAbsPGHbMx/JNWdU9xfaWhgohEIfr7TO7jE/114jN4T0mZFUJctYeI18dTtTdjyWzoM3LVIG/klzvf/N3vSZ9L9rD0kuqW9aEtGB/H5im6NGiHib3vE4lCEhNxA43C4XBEKi5hzt17nyYweyDhcLjTlezorK4QOXKkoQZAUqOQmYOaxHOYBUhAxfFzfrSjLeceAFm3PB3Q6HQ4fPtxhXmZmJtatW4drr70W8fHxNNJg1apVWLNmTYeCYj2Bx+Ph2LFj7jYLCwsLCwtLR0xmj2grOY1CZASR0DOc12qpA+SJvbJuFxokYoJAMoLPB8h60iGjx13EXsiQYbRtLtsOLjVdJfIrdrsn19nV2Fyah+XbtqE66V73/PC03hkafy7ZVbUL3xz5BofrD+ODyR9gWvg0+PnNQH39WrpP19X9g8DAS0/9QnwhM+y9ByjEAjwyLRbv/JNLfd9Z2fVYn6zHTF+P8JYwOgjpK4pINCly91Rj5CWRPRLdLEYb/nr/IBVS3e/rxUGaTxFk6xei+L0MuEwmyKdNQ9gXnpF9HKEQkpQUmA7ug1BmhUVHLkE5xI6N5n/W0pswMpK6b6ddcxV8guVIX8mIy8TpqK0z4ZL7kmnu6mmh8oN06nQoZs6AXWNGob8QTgkHfBcwSKiDvNlGF7OKJRB6n96xv7vwFMw2xCo98RVEtCVYLLWnJ9pKVMAtK8943SYoZFBqbNDb7NjA5UBns8NbwMgF5PuJ929GlUULq0iJilwtjvxbgaHTz+7ndSZYrU20A5AglUZDKo1yP0ZiPepKmcJtqkAp0mZFuh8jxfGihvqiOKMBdpMXinZHIG0kzmsaG7edINgePyKiDZJB67C30M5IUkSSOGgFAjUEQlVr24fe+PyOnRsikT8SE5jieES/KK/4iR739M0ZF0RcVFaZBvX2OvwtciLQJYHDrwZSvhOJfODmoKvhtad1pEXMFOYYz8LSTVjRto8hxcBI7EF7pk6ditjYWDzxxBMoLy+HSCRCXFwcvv32W9x0002n/V4KBVv5koWFhYWFpStMpooOjpHTQdgus7JNeGTpGW2OM4KwnQjen2kb/u9wGOnteGfphQa5YG8TA07Is93/PfKPfkfUPjppF4ZiwuEDsHC9oFHG03karhPzJp5eRElfYnPYsL92P21vO7oZU4MmIyzsViraEsrLf0RAwPyzNtT6tnFRWHywEuVqPh4dH4WJqo6iilwlQtggH5QdbYK+wYyqfC1CEjof0twZPIsBcjSjCVxwXE6EV2xCZPFqcJw2tK/yQbJPXU4nOK2ZqITgZ+4B77fl4PIAq4EHrSYZ2hwHHI1MR4e1pAT1//0vlFdcjhGXREIVJMXGH47CbnWirkSPpf/Zj0vuS4FfeM9dsHl7a7B1US6UAVIMXRCNIgnz+Sdwq/HLvm8wlcfHIIcNFv9wCM/RMPgAaQDkAjkMNgOqSaAsHZ1RBzmY38C5xmCxY8p7W2A2WMCX8WHxE2NVvQ43Bns6zkKfehhJd7+Iw0MZ8WnXsgK6//iG9s9iXTod+S06adu3ncuWFM4jOcxtTL0xETxBR0FxwlVxKMmqhsshQN2xNDRUNMM39Ow5sM82JhNTkJwQHn4nFF4pVJAVi0702w8Z/PEZvx85xikUQ2k8BVOgrAQyWTQGMjuO1eGx375CQmUJjvjFIOM6ZuSVXJYAeZXn80fcjL5bSZbzEla07UNIYTByO1NKSkq6fP2TsXz58jN+bxYWFhYWloFWiEwkDACPZEmeBj6qcUhMfIsWJCNZcSw9p33EwPkSL9HeEUzcXZKzWPPgfMDhMNAcVwIZKtuByv3IF3pcRg5BGKYdXAm+w4yYopXIiJ6NKpUY4eqzly16thgZOBJ88GGHHbvKd8FaYYAycgTk8iQYDEehbz4Cvf5wz/MdLc3Akd+ZIlPthNDOskm3PDIRTXYnfIWdX+Yljguioi0hc0UGBILD8H/s0U6Fd2LJbS+8Nq9bj7ClH6J50K2ILfwLXgZPRxeBHxQEaVoapGnDSSl58sNwPyYYPA64bSXw83wI5Q74yw/D74Gv0FzrDc2S32HcsweK2bPB82acpjGp/lD4SrD64/1oaXHBoLHgr/cOYPqtSYhN88TQdIeGcrI/ApoaIwptzH5JUDoO4auKbfgqJAhv1TVgUuhwnCuIqDU2eCw0hgJ4WfPo+tHRGb0BebGc1Yw41E1Hn1zER4yfDA0GC7gtdnD0Niytaeog2pLIi/jrp8Pq4OJojpPGY2z4PhtXPTfijOIrzhbE5T5+3HYakeCtHOHer4mA31Y4b8jkEATFMsXJdKtWwZKXD/U9d0PhK0fo8CyU70sFXDxs++0YFjwx8rzNtjW2E23DQm+BWHz288K9W0VbAjnuDXTRNruhBlMqisCFC2qTDjH+zIiEkJDrwfn7K8+CsWyeLUvPYEVbFhYWFhYWlgsel8tBhRSziYxw6bzqeXeQyWLpjeXMiqW00dtOW3LB/p+9/8GOyh14eezLGBU0qvdFW1sjJKeZiTxQIENhyYUqKXQjl7crzuV0wlV5CAWBjGPNwfOF1OLCyKMZ4NvtkNen46vUi3Hn2NP/DfYlUoEUKdLBOGjMQLWwHoUFuUiKGoWwsFtw7Ngzbrdtj0TbrD+BNU8DxgZAqgYGX3bSxblcLnyFXQu7ZNi3UMKH1WRHSb4JIbt+hGLWTIji4mDOyYXp4AEY9x+A7vBRVM7/P0RP9Yik0hFpEFn1SM34hE6T50jShkOaNoIKtYLgUwhBJG/16p+B32+mk5wNz0HxwF4q1lqKi8E5LsJN7cPF8B2v4kjszdB5RcJuc2LDD9kIjFZAriKls05Ny549qMkkw+CZ195Z0ohLlUJolAIYKj0RdWPMZngPPrHyfW9jbzShZX8tHFoL3kh4Foakg8jMeoA+ZukN0ZYUrvv7MaBiLzDzLWAs89rdYUFqCNKLGUE/oMGKuSOU9JjZXqj0e+hBTLQ5UPufA2isNNCojN3LCjHx6r5xCJ8KIk6Ght7onjYbbNA3MtnKpJDa2Mti3MXy6j/6GLaqKur6Dv30E0SPakLNsTrYDP6oLjAgfx8pSnY6SdD9x2lLMrVFnbhrzwbEacvhCOHlNQhcXvd+r+crTrsTvIKDVLAl7AtKBPhb0GiUIgYRcNUcobE1CEwBFEF9vbos5xmsaMvCwsLCwsJywcPh8DA0pZ0TgqXPsLSLlehtp22uJheLchbR9ku7XsLaK5hh62eKUOARbW1sMTKay5mY8PqJDzQWoMphQAuXcVPahWEYd+QAFWwJO4JT4ORyMXXQ+SnaEsaHjsfBPKbwzq6qnUjCKAT4z0NBwTs097iufi3MlppOhyV3CilaQwRbwr9vAYPmkVL33V6f4oYWWtBNLRLQaeKIjBsZgJpDxfDd/xeNOSi/73449Xo4jUzIQb06Bbnx98Fa4ERFbS5CE1UQywQQRkdDfd+9NJ9WmpoKnpJxKPaIpEuBpMuAo8sBUxPwz1PAVT9CFOXJG21Dt2YNBLpaDDv0EXLjr0NN4BgkNW2EbV0dHHPngic/tRu76dfF0JhnkaIeMPMcWLK/HCTGd+fzYzHraC5dJtZqhR9XDAQm42zjaLGh+V8mP50j4kEU1b54Ze2Zv4HLAVTsY9pb3wGGXgdIj3O7d8Hs5CC8tCIbVocTglozbg1Sd+osJfvQxXck4Y+39tPCdEc2VyBisBrhg/t/BrnES4hrXhiJA/+Uwj/Ci3ZgEPgqFbwXLEDD55+jecMGtOzaBVlQEAKG/YaKHQ/TZXb+WYDIFF8IxfzzrhOtTbQVi8PPWbasUjkKUyYfpkXJBjpFVXoMLrKjOnAMfJqOwZzCwR4DD/V2YOnmh7Fz+kuQFv4LRE7s61VlOQ8Z2GnQLCwsLCwsLCws563TVtTLou36kvXudqWhEoXawl5zc0kkkfD2TrsgLlBPm8oDKBYw4iHBLghDdlQcmm+5HZVe/tgeMhReIj5GRHY/Z7W/MT52krudbjxAnYokbiUk5DqoVGORPOTzDgULT0ncxUDYGKbdkMvEJHSDKq0Jj/1+GNM+2IK0v/bjmMHkfmziNXG4+rXJCDdlgee0wV5TQwVbq8ALWUm3IzP5HlpsikAyZevLmYJNJCrB/5FH4DV1avcF25w1gMMTSUC55D1A0iokZi8DjnZeRIs4eFU33ACBVIxBOQsx7PB/4X/wL9S88goKJk1C9cuvwNxaaLkrmgpr4GiNu6ngMC64KKkImbX74HQxeadjTWYgJA3gefbNswVf6XEcEretUOjpoOgVp23QUGDY9UzbrAO2vtvtp3pLBJiWyIjI9c0W7CrsugNKHSzH2MsZlyph00/HYGq24nyAiM6j50cjamjH32F7p3jNm29BxA+APDgT8uDDEEgcGDU3CgJh/4uBOBUOhwn+/nPo+YlEFpwruFzBBXM+bMivhVM8DMcSb8L+tKdw96P3o97OSG0pfimQTnwCuPVvYAoz4oKFpSewoi0LCwsLCwsLSy9CCm5oNOk0R4+l51gtZ89pe2nspfARe1xnqwpX9crrBgVdgXFjN2FE2u+08jZLF1TuxwSTGTtKK5DKvQIW2URoVAGoD5+Lr658Ddk+kZgY7wsB7/y9RBnkOwhKF1P8N0OUA1MdI3hGRz2K4am/wM/vIurs7zbE6Tj9Rc/0lreIknrKpxXWG7DsYCWNN3Xm6fBiXgWTU0uCAnhccCUS+D74IJ0mc+tiL0L6+NdQ55/mfg3inLzu5dEIS+yeU/PEldgM/HYd8L+JQOkuz3y5PzC7nZi4+gnAyAzLb48oOgqBL76AuG1bEfzmGwgO8whARGTWLlmCrQ99isyHXun07R3NzdA2ez7rWj6z/QlmF3bX7XHPH0dE27DROBdw5QKAx3GLtiKRL/2ODA5y7OsFpy1h2guAoDVXe983QENBt596WWqIu738UGWXy9kbGuD9/fPwacym00IJD+aW48T5PoLs5wcP3Yj8/Leg1TKFAbuDaP58CFJSaNtaWAjnqqO0HZD2C8bfdgiDJ4aAQ2za5xl8vgyDk96n56ekpO6L+CzdR/zvEbi4jAPbX2LA4XYdwqODzs2xhWXgcv7+I2JhYWFhYWFh6YdkHLkLBw9dj6zsE4v7sJwaq+3sZdpGKCLw1/y/wOcwF1d/F/0Nh5MpSMPSu8NxO6XyAL1TOF3YFXgxHIJATK92omR7NaYUO/Dj2EQ8OaNdBu55CJfDxUgZU9DKxLPgYA4jDp7RkOTICUD0VKatLQMO/XzKp0yI9cWYaGa4OtfkwO6sOmxo1HdYxufGG+D36zLk3/4DskIXwAamaBWJQrjotiTMfTAFXj6nmUVJhGWSxUuoPwY0FXd8PPlKIH4207bo3ftGZ3ClUiivuAJRf/yOyD+XQnn11eBIpaj1G46C2Cux0z4BeftqTnieJTcXzXJPvnQdl9kvBwfKsbt6N20LXC6kmS2o5DOFKM82RPTjeTPis11rxv2bHsGzlVJ8UCeDUNSzAmtdoggGxjFD+uG0Axte6vZTpyb6QdE6/H9ddg12NzRjVZ32hOWI09qp02JQ7i8IK9+IWcOboArsH8UDDYYcaDS7UVb+HYpLPoPN4sD6b7PQVM0Uhmov7tZ/+hmsZWUw2B2YdagAd19yNVytkRCG71aCqwMEEh0cHE8hL5bTw+m0YKBSWer53xI1IhR7q/e6p1nRluVMYUVbFhYWFhYWlguerKxHsCd9Fg5n3Am7nXHGnS5tQqPD0QK7veNFIsup8VVPRWTkAwgOvgZiscf11VuoJWpMCJlA27XGWuyrbc1/ZOk1Cgvfw5atydi5axL0+iPMTJuZKZJEKokLImDgMwLP4FKPa3TQUH9E+8lxvkNybdvYVdnOYXomtHfbbnsfsHniDjqDZJE+OzvRPc0v0OPlnApYnc4OolXmURcqipgsWwLJu73+ldFIGB3YaZ5pt9nzOdCYz7RDR9FsVfLe+3Ut0NnsjIN47odA/Czgvl1MDEQ3kAwejKDXXkXs1i1omsgUmHK4uNjw3VHsWVEIl9NFRbiSG29E06+/wiD3HEPqeIzT9qPgRhqPQkhy2WCV89Dic5pu4tOAr2REW5fZgRZrCywuQGN3ITqhF12Q4x8G5K25ybmrgeLt3XqaiM/DnBSmUFKL1YEr1mfimbzyDvsNgcPnw//pp2lhurjCZdD890M4Lf1DlGto2Ohu+/pOR/qqIuTvr8OSN/ciN90j7jevW08zbIvmzsOur79DbosZRyNisGvSdPq4q8UIxQpGwLaYqzq8h8XE5HCznBybTYMjmQ9gx87xyD76FAYiTqsd9WBGV8DlRPT8kUivTqeTEq4QKRY7LcLJwnK6sKItCwsLCwsLywVPS0s+vTU17QCP1zqs9DRpn1dpbVdUi6V7qNWTERP9OAYlvgWRqHedtm3MjZnb6xEJLB6sNg0cDiPM5kpPpmFNJuBkhk/Xc+KQUqfHLX+vhbCKER9VQTL4R3phIDAhaYq7XWWoOsGF3NC4BYcP3waNtgcdBiRzNbF1v22uBvZ9e8qnDAtTYtZgJjOVY3WiLLcJP1V6ckq3/JqLozuraVumFGHO/SmYccdgWqzpjNBVAlvfY9rEYTznfXxX1YiUndmYezAfo/ccw8+VDXB6BQHXLwHUnmzU7sL38sKlr81E0nhPJXZSXGrt11lo+G0pTPsPoPmftTC0Om3tcEDPdcHFATiCHPdzwlTA/lQlRN5xOFfwWkVbQrQ40t0u1PVOxjZFKOso9K//v24LR5cN8wjdvCojmmwO/Nt0YmemfOJEyMYzHRS2qio0/cw4wB0OJ731FR2iiYzjcGRTa+E3cBAQyYhrDkMLat9+m7ZdViu2cEQQ7GuAaHM1Phg3Hy4503kk3cNFvOshxMczn6VRb8WmH49i8avpsJrPD+HWRYrT9RE8nhcaG7fCYqmBXs8UaBxoVKzejRYZcxzimOvx5pYvUGdi8qmHW20QfD8D+HAQYO8fnRos5x+saMvCwsLCwsJyQUPcZiZzBW0TZ2eP8iY7of0QVwsr2vYLSvWl+OLwFyjQFNDve0rYFHgJGIFwQ+kGGG0ep+Hpkpn1MPYfuAoZGXfhQoe4q9oQCFqLijVXo1SqwitqH2wR8PHm6rWYeNSTYzpobNCZOTv7EQHegXjV9Ah+zXsbTxbdBKfRk/VZX78eGRl3oLFpG8rLf+zZC0/9Pyo9UbZ/CJg7xh10xpMzE9AWw8kvbsZ7+VVoIk5XIupeFIbwwT70nmTXRqb0Toa0iwiEttZRBiNup8WxFHwetHZGPCL3T+dVYM6BfBxpPv3fHo/PxZQbEzHhqjhq3CUUHa7HpoJwmEQ+sPGlsIiY/a+WuGw5gMtLAB+Hp3hZgphZJ6kk4gy2+PRF2yhemLvdW4UR3Qy9DghMZtrVGcCRJd162shIHwwNU2J6WjDssYzIubTG85tuD3HbgstICo1ffY3G/Gose/8g9q48Lg7jHGGx1ELfzLj7pdLB2LmkkWYGE0bOjYQygOmUJQ5bey2TIcyfMBE/yWLAa7KAY3Oi2SzEnmtvcr+m/cudUHgNo+0df+QjZ08NWrQW7Pu7b7axp+zbv4A6XQ8dusWda32u4HL5UHgNoW2zuaJDodGBwop8T3xINccMje1v9/Rofes5zicK4F8YRdlYeh9WtGVhYWFhYWG5oLHZmmiUAUEi8VxAny6idsWzWKdt/+Cf4n/wZcaXWLByAZYVLIOIJ8KMyBn0MaVIifJmxol1Juh0B6DTHYS+ORMXOjZr44mibdJ8HLn8E/ypkOO//tloqdqDmkAm688FF1bptGghw0gHCNNCpsLH6Q1BsAyOZk8EhK/vNHeEChFwzccNuz4pAUlA8lVM22FlhLhTEOvvhSuGM25Tjt0FY74W7xczQ8RJBum8h4Zh/JVxEEmYYeBnQoHRjCW7/gInexkzQ6pmimIBmO3rDbWAj9HentzTQ81GzNqfh//Lq4CeCLpWI7Du/4CiLd1+TyL0D50ehrkPDoWwdRv0XB8cmvYGMOMKTMl+C4n8I9jeKs46FQIMDb4Yc6PnIlQsQ4iAEbEkknCcK/gqT05whMPjas3XtMZJ9BZcHjDjTc80cbt352lcDlY8MB7/u2IYfHwZkXN9o46JtTgOcUI8lFdcTttWkx1/fXgEtcV6HFxfisrczoXec+WyNRRdg8ZKA22rQ+UYdjHzHZtz89yuYI5IhK133AtehafzwOEvwVtpEyGIY9zXRNy1lTPniDGXRoMnYCSUI5sr0FTVvyOQiEhLiqMSp6vJXN4nHWMK76Hutm4Aum0ruZ7/fOkqBYwiz2c8mhQ5JMQx/zdYWE4HVrRlYWFhYWFhuaBpc9kSJGJP0ZrTRSj0OG2tFmaIHEv3cDrtVMTq7YIl60vXu9vjgsfR+5uTbsb3M7/H2ivWIsHnzItfCYVqdydAl4W4LqB4BAKf7wUuV+Cen69jqtjLTC7wTCq3C7KI78DK3DpIBGfmcu9PeE0NQ/ArYxHw8HAIAjxCJZcrREjIDa1TTlRULOzZC099Dhj7IPDIESBqYree8ujF8RDwGCGBV2rAT0W1yGtpFRPOkCqzFV+W1WHGvlxM3Z2J1B2veB686FVAwnzHcj4PGeMGY8XwOPw5LAZxUsZ1Rn4p31U2YMHWbTB8PhbY/Rmw8mHAwoht3SV8sBpXPpMGbz8JnTabXNhpHQvJp4uRGTMa5QLmN+nyFuLy6Nl4O3Q23glWu13I51K0be+0jTB54h0OlS1DXf263n2z6MnAxCeBOzcBs97q0VMFXA4u81fStsXpwt/1uk6X83v4YVoYju8wI6zoH2amC9j441GYWzwu83Mp2lqb/VGwq3XIOgeYdlMieDwuXE4nal59lWQ40MfU99yN73VccPXMesp9xJgX54cfhsYi8IX/g88dtyP6n38gjGCc2ApfCYbPZNpOpwvbluSec/dqT7DaGt2d0ufSTd4ehYJxKRP0usMYSDTb7FCVM8dSK1zgBJQh38z8f1GAiwRr6/4fP7MvV5PlPIcVbfuYmpoaPPLII4iNjYVYLEZAQADGjx+PL7/8EkYj0+MXGRlJe8XITSqVIjk5Gd9+2zHH6scff4RSyZxUj4c8b/ny5edke1hYWFhYWM43TCZP1XBxLzhthe1yWC0DcCjg2cRiqcbOXRPx75YkHO2loiXFumK3gy3FLwWBMqY4T7QyGiMDR4JLMjd7AaFA7c4PtNs7FzcuFIhwTRAIOhZ3avseRuS7UBPgqaidKXRgSoIfdfgNFHhyIbiizt2rISHXgcNhxOzKqiVwOE5eVKwDPtHAzDcBGbO/dYcQpQQ3j2WyUzlOgFPegq/LT38UgMZmx8KqBlx+qABpu4/i1cIqHDGYcGfln4g3ltJlCnyS4Rp2vfs5ROA6kl6BxTtLwGmyYN3wOLwQHQRJ69D6oxxvHEHrtYy2FNj8eo/XiziHr3x2BEISGKFYKOLDJ1CKQY02qAKlcKqEcHoLkeYlAn67ASmbdmDkQS1EwgDweIzYey7gqyUQxasgGxWIwMhweAkYN2uFuRnGlqLef0OSbRs64rSeemWg5zf8R40nzqQ9fD8/+N51J22Hl66H2sV0Vho0FmxdfO5ETfI7atLspHEItQfvgLPVGJwyPQz+EUzMg275CpgOHqRtIsT63H47Yuo9wvJLU+Pw9ZAoTPTxgnz0aPg98TDMnGo0Nm5DSwsTXzF8RjgUvoxbujJXi4L9/bdz1mQscbcl0r4Rbb0VHqftQMu13ZnXADmpJAignO9EvF8l7k65DxODx2GKoQW0G1IRAvgn9fWqspzHnPk4GJbTpqioiAq0RGx96623qBgrEomQmZmJr7/+GiEhIZg/fz5d9rXXXsNdd91Fhdw//viDtsnjs2fP7uvNYGFhYRkQNDbtoFVf1epJfb0qLOcYs6md07ZX4hHaFSJjnbY9on2cBI/fO0WpSGZtGzMizt4QRYHQI25YrY2eWIALDKfTBrtdf1LRdnSuDA3BzIW8xWVHocCJRxM8DvWBQkZ9Bv4u/Bu7qnbho6kfIV4V745QCQiYg5qa5VTgr6lZgZCQa8/qutw/JQbb8uuhDZXg9lERuCPs9Ir8/VLViOfyKmDrRIiL4tvh4PDBdTkQe+WndHj+9vx6LNlXjl0FDWhql+2rlgkxY3AA3gvyxh8ltdgaKMRK78cwVnc3OLDAlf4V7P4zwR82FZxWl3B3EMsEmPfwUOxcWoDY4X6QOlyIBxeNQ7xg5XEQKRHCjxT8sjD7qFnMPediFt9HDL/bmZxPQnRJGDIac6FzcNFkLIenNFnfE+ziIKDKhAanE3sAlJksCJecmM3pc+ut0Py2hEYJpIkOYwtvNqwmBxU0I4eokTDG4yg+WzQ17aSjNHTFE9BSG03neanFGD2PaTu0WtS9954nbeTFF6Gxc5Cew3SuKqUCzG8twma2OfDb3jJMjypCXs7ddF5U5EOIjn4UfCEPE6+Ox+ovmOzcnUvzEZGshlDc/6QVk4npRCFI+shpKxIF0RFIVmsdjUcgI1E4vdRZ2tfk1VRiqz8Q0+RAocCBmxJiceWQ23CrIBDY+ZsnGmGA5LWz9A3978hyAXH//feDz+dj//79kMk8w6aio6Nx6aWXduiV9PLyQmAg4wx55pln8O6772LDhg2saMvCwsLSS3/0Dx++hbaHp/4KlWpMX68SyzmE5Lz1bjxCe6ctK9r2hPaF29pnA/eWaHtxxMVdLlfTUuN24Z6J07ZNtJXJYnEhYmvnMha2Cde7PoUufz1qUUujEQKMKdC3xiZkilzg8jiYGN8733d/IrM+E7/lMhfuOyt2ukVbQljorVS0JZRX/Ijg4GtOL2/S2ASU7QESLznpYmq5COsfnURGrYPbzfexOp1wuAAJzyOwJMnFHQTbGIkICwJUWBCghC/nbbh0t4NTthMITqWPF9QZ8PeR6hNeu7HFisV7y7EY5SDdM1NzRbjO6Qud4yYoBd+CQ9Z0xYNYteULjPXygTBcAa9pYeAKTx2hQYbBT7rG81k3PpoCa2YROE4TIp15aCluRNuVl1YhOKfRCJ0Rq4yloi2hUFeK4WfzzZwO4PAi5vsJ9AjHnaFpsWL8O//C7nSBJ+XBESLFX7UaPBp54nGSK5Eg6PXXwJXLIR0+HNhfi/XfZtPHtv6Wh6BYJY0WOJs0Nm6B0yZC3ZEr3fOm3JAAgYjZZ+o++hgODRPd4jV7FuQTxuOnfwtgdTDRGdeMCINYwHQ0PPlHBmr1FuimqTGkVTExVxSg/p/P4Xv//bRoX2SyGiWZjWjRWbF/dQnGXdH/jvnGdqKtVNI33QHkuEbctvUNG+BwGGA0Fg2I86Ndo8H0B29CkkyNNRFjkBU/ARcNncs8mNcu5oSNRmA5QwZGF8d5SGNjI9avX48HHnigg2Dbns7+uDmdTvz555/QaDQQCoXnYE1ZWFhYBj45OUyhFEJF5a8YaJBOQL0+s2cFby4gTKbyXnXaEoclGfrM4fDJh3/Gr3chQcTOzsTv06VMX4acphzaHqIegmB58AnLbKvYhtvW3oaLl16M3CZGODmTTNu2HMELlQ5FyNrcx0VbUVCVTpuj8lwIqd6D5KyvYDVVIkvkwIhIFRRiT/btQGGUkBEuCduPdSyupVAkw9ubkedaWvKh0ezu+Rvs+gz471Dg95sBjUec6QpybXEqwdbpcmG31oCnc8sxdGc2fq3uuC+nekkxxluGe8P8sHpYLN738wPydHjihwNIfW09DpoCgVF3uZefGMeI8TIOByNE9UgK+RWD4/dALPQUtWomn4eXCEFBXjBw5sPiZDKmBdxKlCl/w/3eVuQdqgaH3/HS1VrRDGuVAS6iLJ+EA63FgATmbGTnv44JuV9ioYJx8usU/D7L+mwjzmewu13aXHv23khTAnw1GVj5ILDuuVOen1QyIUZFMb9hrtEBjs6GpbWaLuMO5JMmMYIt2aYRAUgcw4i7NrMDG74/CmerOHq2iIt7EcNHfInUS/OhDJAgYXQgwpM8x2Wvi6ZDEB4OrlSKgGefhd3hxK97mN8N+VncOIbZD4K8xahvZnJJP9mhgcbmDekOLvDgZjR8+hma/2FyeydcHQ9e6z6Zsam8XxYlM7XGlfSl0/b4XFudfmDk2uq2bgXX5UKIoQEqSzMSfLRQeoUyv6v81s5ingiIYkfwsZwZA9pp27y9AobtladcThAih+8tnpMloeGnbNhaq02eDPnEEHhN7Lkrp6CggJ7wEhI6Fr7w9fWF2cz8sSCC7jvvvON2177wwguwWCyw2+3w8fHBnXcy2UEsLCwsLGdGSspXSN/LjFyw28nl48Cirm4NsrIfpiJidNRjiIi4CxzOwCn401vxCDyeHHx+5/nwPYEIIxMn7Aaf7z1ghgCeK6wWj9NW2AtO2/YFyGZEdh6NUG2oxv7a/bS9snAlnvI5vSxdQXvRtp1weaFhay1CRqAREeQCtvIA8oWMKDv2mAtclxN+DUewNmky6nk+uCtx4EUjECLE4fCzqVAv0OCwKRMmuwkSvqSD21anY/I1yyt+go8PUySv25ia3MP8sfVd4LLPe/T0onoDLBIegkQClJut1EW5ok6LKosnxoDMuzOU6UAh1y65tc2Y28LDjoxK3FiUCZONKejUxo78erfQR4jxk+OPG9Lg+2sungxainIJEZEyETRkB6b63Yz66hRszqnHpTNi4Z8cBJfdCdux/8H11wxwXDbcV74Eq8PH4Kq0FDxWVod7w/0gas3B1a0rgSVfC46QC2GYF3XjCiMUtM2TCdxO3wadBT58HqzmLDrPDhfCbTa4eEKEjvwQXt7J6CucFjsmB0+BJuAj+HH1CJb1bhHGDngFefaX4m2MGzBh1kmfctmwEOwqZI5n8VoHXp7ExAd0h4nXxKOqQAt9gxk1RTocWFuKkXOiuv188pzaYj0SxwZCJD11pw6PJ4JaPRnq6ZMxYpIDDntHcVk+cSKiV62E+ehRCAIC8NiWXFTpmOvuqQn+CPNhsoVj/b0QHqNCSYEGDqsTC8tuwVOKT8GxMq9X++57kE+ZAm8/KYbPDMe+1SU0s/noripMuDIO/dNpy4VE0v3vrrdReLfPtT2C4CCPG/p8pWrdBreYtidoCFJiRDhcdxiDHRwI9K2xW5ETAGHnBj0Wlu4yoEVbp9kBh956yuV4yhOrWjpbbN16LnmP3mTv3r3UTXvDDTdQgbaNp556Crfeeiuqq6tpm0QrkOJlLCwsLCxnjkwWRwU7OmyrtdDEQIIMSSO4SHZk0XtobNqGwUnvQyw+0XV4IZKY+Aa9sHE6zKc3PLkTLtQ80zPFamvoVdG2fTTCRREXdbrMrKhZ+M++/8DutGNN8Ro8lvYY+Fz+GcUjtHebXmjI5YkYNvQHWG1NkEmjgaYiKi7mqVWQG10YUsoIHxovH+SqmGHp0waoaCsMkiPNlIS1gp2wwYYDtQcwIWSC+3E/vxkQiQJhsdTAYTfQPGBua2xEtxj3ELDvW8CsAzIWARMeBXxPLRoVN7TgrbU52JBVA9tIX3j5S6G1n3hNQ4qERYiFNCbhg3W5+PNAJRoMHUXFG3kb4I0WfOOYg8gAFXxkHUcCkmNqQp0VeyTFyKOCLUODqQF/lH1IIyO+uOtxjA0KYJbncyFMHo7cnAeRkP0ReHDi45L3MLfgLbyfpcFP4Qr8Z3wsLg5QwlrOdLK6rE5YCnX01gbfVwJhuBfebmjEpjINVFIBggblgATW8F0ujDRbwAkbi6CQvhGPmrdVQP9vOVwmO/zuTsZInyAYDDrYrPVUHO+tc1EH+CLg4leBP25lpje8CMROB3hd73OzkgPxwoosWO1OGCoMmKiUd2vdXE4nTOtXY3SwBRub/OByumCzdP+6uUVrwYqPDsFuc+Lozipc+mgqpIrujzLlC3jgd7JZXJEI0tRUmB1OrCxrgIvLAcfpwg2tLts2nro4HvcXpoPjAo6UxKBhghSywVaIszmw19Sg4auv4f/Yoxg+MwLlx5owZFII4keffrzO2S60KhYHgcs9MYv4XKHwSkFC/KtQKIbSc8T5jtNigSa7DiKvcDitTchVhyHZOw83/fMmZHwJPhw8G+NK9rPRCCy9woAWbbliHnjdOLhzW3tij5/XreeKT8+pRARXcsLLze04DI/k2RIkEskJDlzyHHIjhchI0bIRI0YgKYmpRKhQKNDS0kIFX25r7zNBq9XSe29v79NaTxYWFpYLAXI8lssToNMdgNlSBZtND4GAqTQ8EDAYmOHhbWi16UjfOweJiW8iwP/kOYgXAj4+4+GD8X29Giy97LQtby7H0cajtD3IZxDCvDqPvvAWeWNy6GRsKttEhaQ91Xs6CGvdhY1HYBAIlB0LOh75g97lC4Ww8oAv53AxtmAIih1+dExyqEpC3ZgDEVJAa7QkDWuxk07vKN7eYd8iAm1iwhsQiQLg5XUa1cUlKmDcw8Dm12khTfz7JnDVj6d82oFSDRVsCbw8HbQqobtQDt/hxDCXALenhGKmWgEZn7nW0ZvsJwi2g+RGvOBcArHTiMf8D4B/3w5AyLgV2yACpPFwHVb4/OueR4TaPE0ebZP7hzbfh9ULViNM4fmNHgq7CY7s5UhCMRK4FbiWsxkL62agqc6Muw7UwT9YjtsSlJht40Fc2QKHrqPZxt5gorcsPjNk3c5pQJ2RGYE51GyBlDjAw0ejz+ByqGBL101rgUjoDwNy4HLZqFtd2K6wYa+SdBkQNhooTwca8oADP3aIszgeElty8aAArM6spjnEO/IbMPUUnSwuux2lN9wIU0YGOBIJxr7yK3zjAxA2qPvbdGx3NRVsCSR2YNkHB6lwK1d1LjxW5WsQFKMEh9tRUHaaTOCIxScIzZua9GgJkwEBEow0cjA1vmMczyXhaiiiFGgu0sPl4GBJyeW458qFEOdKyZAsNH3/PZSXL4AwIgKXP5V2dkT2M8Rm09JCh30djUDg82UIDb0RAwVjejqKw+bC4BUGl8uMr8fI8YMlkz7WYjch+rKPAYk/4DzRHMjC0lMGtGhLYgtOJ7qAcHxcQm+jVqtx8cUX47PPPsNDDz3UZa5tZ4SFheGaa67Bc889hxUrVtB5JGaBxCYcPnwYw1uzhAgHDzJDruLjPWH8LCwsLCwnQnr+iWhLMLTkQqUciYGAw2GhRR8IxNHFAZcK06S6e1bWQ9CHHUZc3PN9vZosLBSrtaFTEfR08JX44r3J72FDyQYM8/fk6XXGvJh5VLRti0g4HdFWLA5BePid1HHrpei74db9jkomeuKiFiPMgjmQCJOxc3w8dugMgM1BXbb9UfDoLUaHjgW35lM4OS7sqmTE2/b4+k49wze4F0j/H9BSD2QvAyY8DgSlnPQpC1JD8PW2QuTVGsDV2cArMSCUz4dQY0VVbQuyXS5MGZfgFmwJE2J9sfJwJcZEqzE+1pdm1cbueBycTCN9nB898QTBlkDi5qo0ldgRy+RY+oh9sHjOYmTUZ+D9/e/TjpVLYy/tINgSrh0TA1vYT7D/MBsb/W7CmtopgJER8Yj7sb7SgHcrDfhRLcHe56bBrrPAWqqHtayZua8yoNHhQG2rgzg4qBxtqe7jWjNuEdZ3RUf5So/46NBaIGx1GrcVsDxroi35rc14E/iudeTBv28ByVcBkq6jgS5LDaGiLWH54cpTirYcPh/i5GQq2rpMJgTs/QXBl77Zo9UcNj0MDpsT+9eU0GltrRHLPjiASx9LhULd0dxUkp2P1Z+WwyfMhmk3DUZAuOf6v/rFl2BvaEDgSy9C1GqOIvxZ0xrjIuTiiZHR4B4n9pJj0u2To/FxSQZ14u4pT8PlEasQc/10GH5eBZfNhtq3/4Ow/33Zb49fPJ4MI0b8RXNt+fyB2THWV9Rv3AGDF3P8EHBdSAkLR1Y2I9pGKCI8RU370N3MMnBgg9b6kC+++IIKrcQxu2TJEhw7dow6b3/55Rfk5OSAx+vaxfvII49g1apV2L+f+SM8ePBgzJgxA7fffjs2bdqE4uJirF27lsYoEIE3JKTvMmxYWFhY+iuNjduQmfUw6urWdqiqazAcw0DBbtdCpRwLgUANlWosRo1aDX//Oe7HVaq+u2gdyGh1B5Cf/xaysh+FTneor1fnvMHSKtqSbGEu98wKrpLs0FmRs/DBlA9wU9JNJ112Usgk6rgl/Fv2LwzWU9c1OB4iMsfFPoeIiLvhoxp72us94KhkOsNu0TcjrGk+ohsjkVxgxfIrh2PhHaPcxX8GKn5RwYg3MeeXYnMpaloYh2uvIZIDE5/wTBO37SngcTl4aqZniLIgT4/ao00orzbA4XTRGOJdhZ4OFMLFSQE4/PIMfHfrSNw+IQpxpiPgZP7ucfxOf7nT9zIeqoOd48CE5mHggYtrE66FkCfEyMCRVLx9a8JbeHDYgx2eQ6JKFucshiMgAfwnjmLWPe9g7wuzsPiu0Rg7NBAQea6RfEKZgmJ8bxGkKX5Qzo3G7vF+ED6RhqrZ4Z5tluW722NbRdtGqblDIcpzCU8l7iDa6p0S7G/hYZVWgJz6s3zOCBsJDLnSk4u8/YOTLj453g/K1kzZddk1+LmsHo8cK+uyIBnB94H7wfVqLfb21zKYj3X8X2W3njwqgS/kYfT8aNz05lgofJnPimTjEsetrp7pKCAQYXfrIqZjuqlcgKPp292PtexJh/7vv2Hcswelt9wCp5VxY2ttdmxsZLJ9/YR8TFAy63k8t0YHABGMscrl5GJF0WwIrhsDvj8jWhu2bIFh69YTnleR0wRNTd8XJSNOfm/FUAQGzoev77S+Xp0BA9nvyzOYTgxCJF+EbEkR7C7GOT86sA8d/P0YUvhPZ7ShQmNEbk0zHfGxLa8eazKr8fv+cvywsxjf7yju69Xslwxop21/JyYmBocOHcJbb71FXbMVFRUQiUQ08uDJJ5+kgmtXkGWISPvSSy9hzZo1dB4Rfl9++WXcc889qKqqQmhoKBYsWIAXX3zxHG4VCwsLy/lDTe1K1NWtprfIiPu6jBM4nyHDblNTf6Jtp9NCM82GDP4vatRT0dKSd8H/kdc3Z9EsSYkknH5WvVWgzWDIRVn5d7RNxHJvb08VeZauL4TanLYiUcehqmcbAU9ABd4luUtgdphpFu6CuAXndB0GCqSwlsNhgkDgA5k4AtzqI3R+sWgQIssYkUcg5iF6iC9ieQPfP0KKY6W1DEKOlLkY3V21u8t9i/wGSHyNUjmqZ0UM024Ddn0K6CuBvLVA+V4gbNRJn3LRIH8MD1fiYBkTpdZGjJ8ME+P8EKnuOApQyG+3Pg47sMZTsM8x9UW0cL1g1JlhtNphtDrQYrHDaLYj8kAtgm1+eLr6TvwRy4OuVoSsSh2GhHiDy+FSl/vx/Jn3J95KfwvfZ32Ph1MfxpzoOeBxuRgb40tv9WYbntxbgJ059XhtYtwJeb2P/HaYGkp95W0uNyeqbEwRMgW4GOTkokXCw+H8JxCgm4shQ/6Lcw2vndOWxCNkm3n4pYmZN8KgwVkf63PRy8CxVYDDwji1R94BqDyd18d/93OSg/BrehnMNiee3Z4PZ7AUNwWrMcK789GifJUKvvfei7r33qPFCGvffRfh339PH8vcUoGDa0tx5bMjIG8nXncGcdUueCINKz4+RN22hiYLlr1/kDpuVYEy7F9bAkMjIyiLfYqRNpOJOnJZrah57TX36/g99BC4QqYj8LucalhJAT0+Fwv8VeAf57JtQyXgY8bIUKwvzwXH7sLOytEoNNRjyNNPo+rJJ+kyNW+9heixY+lrmw02bP0tFwX76xCaqML8R4b1WxduX+B02qHV7oVenwEOV4CI8POzqLolPx/1nCD3dICXGBtb9rinR6mHYKBgsZNjuQMGsx0Gix0tVrunbWHuO7YdnraZWZ5MN5vtsNiZkRInw0vMp52CLB1hRds+JigoCJ9++im9dUVJCTMs5HiIk7Y9SqUS//3vf+mNhYWFheXkEAGzoWEjbZMiZGFht6Ok9Eu34DYQaStCQS4igoIWdCoYFBd/gqCgKyCRnF680PlGWdl3qK1dSdtjRq+DTNY7RT5FQr9Oc1pZTs7YMeupcEuK5p1r5sfMp6ItYVXRKla0PU2Kiv6LJs0O2p4c8wO4RBQiGaVFk9E2iCwhUQXuBSDYErgSPkaKUvErGJPFnsrORdv6hk0oKHgXRmMBLeTWIRf4VAjEwOSngVWPMNObXgNu/fukTyHngY+uGYbn/mKG9Mb6yxGplkLA58FosWP90VqsOFyJFquDTtN7egHuwIzmv3C/OZs+L8sVjfl/+cP51/oT3oNIZFdAiIshQKXTic+2Mu7GX3Y1YOtTU6B2i6oebA4bvjryFW0TV/LzO57HL8d+wZMjnqTuXFQehJ9Qjp8mDYJmbBwV1trz7m7GdUlMoPXNzL7HFVfA4WKcj6MjpkM7axZyDtxNpyXSvnF6c6V8cARcuGxOODRmpITMBLKY40+ZsaOQflZQhgNj7wd2fAQ4rMDGV06ah0wiNYhoS+DVmalo+2NlQ5eiLUF1043QLF4MW0UFjLv3UFdqviUKu5cxBV83/ngUlz6SekIO7fGQHNvLHk/Fyv8epvm2LTorddxOu2UQFX8pHDsixq+Fl9ftdLLxx59gLWL2BfHQFCivvNL9P+ebv3MgMtjgCJFi/rCTn/Nvjw7AmohKCAqbabRETg0wbs4l0P72G4z798NWWoamH3+C7913gS/koraY2ccrcjQoOFCHuBGe2AsWIOPI3XA6TTRO6HwVbZu3bEWTD5NB7nTZ8T8J0FSz1/34qN/vBqKXANf/hvMR8hv5YWcJPvu3AE0tHbPCzzZE4D1rhRjPY1jRloWFhYXlgqSpaRfsdqbytJ/vRTQ/zs9vJgR8b1rd9kKkqvp3FJd8grLy75GY8DodUjfQMbcbGisW955QLRR5Mv8sVla07Q7kT7pYHExvZ8rnhz9HoioR40PGQ8z3OLnIxYD5h1fBrdoGzqxXIBzhEcaSfZMRqYhEib4E+2r2ocpQhWB5z9bF5XLQ4i9WayNksphec26fT1htTfSew+GDV8OMWqi08qE3DQFaYxWTJl1YsV0pwcNwbcksDGtJwMRxnR9XSUcFEWwJ5RU/9Uy0JQy7AdjxMaApBmqzAF0l4N3151zWaMTLK7Oxq5Apmtd2fyr8oMWNol+B1mvqF6y3wtlF4h653F8MK721DzshLqxvdxTjmVmJnbrev5nxDT7Y/wG2VzJD3Unu7e3rbscUcRAeLziEqIChwO3rThBs6602bOTZYI/2gqzeDEszUwSIp2JEQsK44HEwWithaS0mTUZZ9NXxjrht7fUmGo8Q4z3I/Vih1rO+ZxWSf3xwIRORIPYGnA6A2/kxKy1ChbHRakxPCsD79mZoXU6srNPi5dhg+AlPLOpNIO5T/yefQOWjj9Hpuvfex6BFf1CnrUFjQWWuFoc2lmH4DI9wvnt5IZobzRgyKQRBsd5u8Ubm7RFuG8oNUIfKse/vYjgdjHtfnbgOYXHJdHlbZSUavviidSW4CHr5ZXBaC3X/nVsLs85Kd1+pwY405cnryozxliE80QfldhfskXJMGX8RfY+AF/4PxZdfAX5gAEQx0e5Ih4lXx2HNl0xHyM6lBYgYooZQ3DeSS03NSvD4Mhr/Rc5HfQ2Xy4dCkUzdtmZzJSyW+nM+qqY3qKlpgFXIfJ5VXCsq+BaUNTHnukSLFSq7tcvfUX/HbHPg+WWZ+OsgU7TxTCAOdrmYD5mQTx20MhFz86L3vHbt1vmty5ION1az7Qgr2rKwsLCwXJDU1f3jbvv7z6b3Kcmtf/IHCG15c93psSZiU3k547JxOAzIPvoYGhu3IiHhFfD5nee9DQRMZka0FQr9wOOdfJjmaTttrXW99rosp4a48/6X8T+3ELtoziL3Y/asg5CUfUTbjr9vhCtmOziqCPfvZG70XCr4jg4ajWYr06nTEzIzH0B9wwbanjB+F43cuNCwtYq2AoEKnEFzaYGjhd8vhJe8VUC0NuL5fcWYZmjBtSPDLghHjTRShVv2tYq1FWag44h+iq96OnWfETGjsXELzcLuUawKTwBc/CpQe5RxUBIRrovhrl9tLcLn/xZ0a7jq8TwrWAwFx0Tbf/MugjkgFWkiPqRCHr3JhHxIyQW5kA+9Kx9WTh2GqqbCWyIGl8PBE79nwOpw4uddJbhnUjSU0hOzq2OUMfjioi9olAQRb3M1zOiXLeZq7AgJwFX6Aty380OoJnoiGgir63VolnCBOAV0sV7gtNjB1VoBaSAiOLGobS7A2OCxMFR9635O+zz7c02baEvctt5OL1qkrcnchAItI96fdcQK4LIvAO9QIODkRbjJ73Tx3UwGflVBFb4or4PV5cLi6iY8HNH1cc5r5kxIUlNhOnQI1sJCmNcsx/RbZ9G4A7iA9BVFCEv0gV+4F825zd5WCYvRjqJD9bj1P+MhlnsEYYlciEsfTcW+1cWQ+4ixaynzOQm9aqBO+ht+vkz8Qs1bb8NlZnKLVTfcAHES44okfLqdcd8SpqYGn/L4Qx6/KcIfr9ntVOjdpTUgRiqGODERoV98Dtno0eBKPIXRIlN8qVBbmtWIFq0FB/4pwdgFvTOCp6fk5b9Oj8ekCO2E8ScWQewLiCmCiLYEvf4w/PwuxvlGVlQi2qoaHhPzERZZgVIr8397VOt+h/iZON+o0Zlxzy8HkFHucfqTCB1viaCDqOpudxBhGSHWSyRwC7IiPveCOL+fC1jRloWFhYXlgsPptLqFFRKN4OMzEQMRi6Ua6XsvgVyWiIDA+QgNub7LZYkjcETa78jNfQU1tcvpPHKv1e3H4KQPoFSOwECD5G62ZahKJB0rl58pQqGvu83GI5xbNpYysSeEiSEdf9uOnT+hTQLgQQfnwuvBuW8jIGAuuq9OuJpWsndXfu4hgnYV34nb9kITbUlHkc2mcYu2UATDNngB/OqOwqxgljkktGPjsVqUNRlx3ai+cTmea0QxSnjPiYIwQgFhsLxLF1pY2G3Iz3+DTmcffQKjRq4Cn39yJ2AHki5lbl2wI78BL63IQlGDp0hSoEKMBcND3BfkVHgVHXffOl9efwjSha2FnsTemPvQV5gr8xzrjufeDf/FzqqdOND8C36Y9QOivKOwp6iRDrMncQvf7yzB4xfHd/l8IrAumbsEKwtX4rNDn6HORIqacbDY2wtr83/E2vjZkAZ48iNvDfFFpESI5/IqUGyywiUXwEFuuAhfjHwAvjwjfCRqHDa1DqnvQ6ctga8Uw9KuGBkRq5tqmqhwqzFroBKrzv5KnIa4dEuIGl+W1xHNFT9VNuCBcH/wuhBnqCv1madRcu11dLr+088Qs34eUi8Ox6H1ZdQpu+H7bFz1/EgUHqijgi0hJs2vg2DbhlgmwLCLwrH41XT3vMC0hRAIxVAqR6J5878wbNpE5/P8fOH38EPu5Wr1ZuQVMccnl5CLp8Z2Lzvz6kAf6O0OXBfkgwiJJ9LDa8qUTrd3wtVxKM9pgtPuwuEN5UgcG0Tzd88lZCRZWwdaX+7jx+OtGOZu6/QZ56VoW53PR9teUMx3IlhVAtQy06NbixwibgbOJw6WaXDvwgOoa42UkQh4eP+qoZiT4snuZek7LowwKRYWFhYWlnZoNLthtzO5Y6QQF493Yq7eQKDZcIz+cdfq9sFsqjjl8sRRO3jwBxic9BEVswlmcwUOHLwORUUf0yISAwmT2fOZSMS9K9pyuUJGtGLjEboNcRaWl/+E2trVdNjk6UKKiLUxI9Jz4eSy2yGoWdVhWW5TFvA3M3SXQESS0xVsCUKBuoNoe6HhcBhpXjhBKGAE7PzCQ7BL0mib47Rim4Jx7k9N9ESIDHT4ShG8JoZCFK4Ap31Br+MIDbkJCgXjrjWZSpFf8FavvH+d3oyHFh/Cjd+luwVbHpeDOydEYeMTk2lMwf1TYnHLuEhcNSIMlyQHYUqCP0ZG+mBwsDcifWXwV4ghDRsKTHoK4AmBaS8CJxFss7alU8GWQCJKwr0Y4ei+KTHuwk+kWrjezEQYdAWPy6MZwKsWrML9w+6HpDVyZLahBdI1T5Ne2A7LT/FR4N+RiXg6KhCi1vcJFQsQayyBzydpwKJrICk+TOdzuRI6yqKvaF+MzKE1Q2ZiivYRzpnb9jQgwuU0HwV1MlearNjYyPyf6grJsGFQXDKbjnmWT5oEl82G0fOj4RvG/M/Q1Bix688CZG3zDMkeMim0y46hrYtzYbM46LQyeiuk/nloqRmCiiMNqH3zTfeyAc88C56XZ6TQIpLJyxgikTTIF7Fyj0P2ZPgK+Xg2Osgt2JJ4j6UHKrpcP6W/1B354HS6sO23PPfIp3OFycTkDxMkkr7Jbe6M9vFjxGl7vmE0GCCol9J2E9eJFgEQ7xuAIIk/+C4X0swWIGgo4HX6/yPONWRfvvarPW7BNkQpwdL7xrKCbT+CFW1ZWFhYWC44attFIwS0RiO0x2bTw2DIw/mOofmYuy2Xn5gd2BUky3b0qNXw9k5zV94uLvkUBw5e2+FC4HynvZAtPguF19rctiQe4VxfsJ2PNDT+i7z815CV/TAMBs++2xPqjHU4VHeItqO9o6lzrQ1b+hrwwDiPrM44uAQygC8BYqb34nfeTrS1XXiibZvLtr3rOHPJLtjJZ02EKWcRrK1C2rQLSLRto9JQiSU5S/DI5kegt+o7ddsOTnofPB4jClRV/UYLlJ0uDn0NVq1ZhekfbMWqjKoOQ15XPTgBL8xNglzUg4GXQikw7QXgwX3AiNu7ft9mKxYe/Mk9fV3idVR8JYSqpLh8OBOVQSqKk5iE7iAVSHHf0Puw+tIVuMYM3KvVAaU7gf3f0cctDgsO1zEikJjHxeORgdg2KhGvxARjcUoMuOXpgEkD5K0FT89E1kgl4X06fFeS7Av1zUnwfzgVojgVQiUeN2aBpg9EW4cNSP8K2OeJj+iMap0JnKwmCHfWgldlxA8VzIiVk+H/5JOI+nMpgv/zNvgqFXh8Li6+fTD4AkaOyNpa6S7iRfJqA6NbrfnHQZy5chUTZSSSWeGX8idtNxUOxr43F9M8W4J0zBgo5lzifp7V7sSiva2F1Lgc/HBJMnpCQ+MW5Oa9go+Wv4GJ72zEk39kYFehZ7utpaUov+deaBYxcTzDZ0XAy0fsLkpWePDcdt4a27nJpf1ItBWLgyASMiNQ9PpMGs11vuByOlFVsQ/ZIXy0cFzUZTs8QoVHRzyEdTG3YG15FWTkv9554rK1O5x4bdVRui+TyBrC6CgfrHxwPO2sY+k/sKItCwsLC8sFhdNpQ319WzSCDD4+nmIvRFjbkz4L27anIuPIXTjfMRiYwggEuZenyEl3kEhCMTx1EaKjHnUXU9LrD6G4+FMMFDo4UcS9P3xQJPR3x3G0Fb1j6Zr2MRKn634j0QiuVitVe5ctZd8v7qZz9KPgXPkdcMd6IOWqTl/L4XRgV9UuWs2+uwjaiba2C9Bp2zYcl+Dd1AIcWwVbrmcofrqXkd4rxHwqHF5o/Jz9M95IfwObyzdjX/W+TpeRSiMRF/t/7uljx55zx7h0G4cNtX8+A9uHKRi850kYLYyDSikV4J0rkrH03nFICu5cFOsWqsiTFtqpOViETd7M8HUJR4LL4y7v8Dhx9bZq9/huRzGtGN5d/Lwj8MLFn0HV5rDd8DKgKcWiY4tw0z834fEtj6Ncz2SVE2fkpT4OxMnEQJlnOL3Wi9svho0L/KWQJKlpZAZXyEOk3NORka/JPrcrYzMDX44H/nka2Pgq0NL1PlepMWFHZi04LoBf2IwtDXoUGduCHjpHEBzcIVuW4BMkw/grT8x7JUXIuhLTidg75foELHhiOELH/gme0ASXiwtDTTJq1Kk4nPoIOOExCHzpxQ6vsS67BvWtTsIZSQEI9Bb3eCRIRcVCGAxZ0BgZofH9dblMJExtHYrmzYdh61bUf/Ip7BoNBEIejUloY+fSfFjN5260ksnYLgJE2n9EW4LCe6i7fkJLyzkqutcLmLOyYL72EYzY+z/ssWRgu8SGCTFM5zynYD0CHK0CdFz/z7PVGq249Yd9+H5nsXveTWMi8Mudo6GWD8zRhxeMaPvKK6/Qg1/7W2Ji9507LCwsLCwsfQ3JaLXbmZB9X/XUDsWnyHmN3y4W4HwX2kg8QttQfamke9ltx7u+oqIeQtrwJVTUJMUs4uI8YsKAikc4G07bdlWR2WJkp6a9MNU+E/h0oxEujvBk5bmsFvC0u2nb4fKCcMoCIGE2EJTS6eusKVqDGUtn4J4N92BH5Y5uv/+FHo9gbSfaqvOyYP/pZqQeWIhRe9+Ab81q7JQwQ0YnxfuBz7uwvCMupwujBJ7CYm3RAZ0RHHwNfNXTaNtma8SxnOe77dbXGW34vxXHUJSxDSQxNZpbgyt423D1iFBsfmIKrhkZDm6bYtpdWnq2L/+ZsxQWrpW2Lw2fBy9hx2KWJG7h0mGM21ZjtOGXPR6BqVtETwbSbmPathZoVj6Ib4584z4GzF8xH+/sfQe5TbmY8ecMXPLXJfi5dhd93MXlo9mL3y/FrGiFR0Qu0OSf2zcXiIFwptAYLHpgy9tdLjoi0sftlOeYHeCXt2CP1nBabzt4UgjCkjxZ4HwhF/GjTp0FHhynxKRLnkds7HMIDb0J0SnMf5wm73hsjnkcpY2MW72Nhbs9+9hNYzv53u1W4JcrgfcTgHKmUFZ7xOJgNEOOqqAocOVMh8XBMi0259RBEOAPxWxm1JZTp0P9Rx/TdtRQX4QPZs4JygAprKZz5yrtr05bgqJdrq1en4HzBcOWreCZbRifdxj+Rg1sHGBCpIrZdwq3MAtJ1UDIcPRn8mqbcennO7GjgPnPReJq3lqQjNcvGwLBBXZePl/o8bcyePBgVFdXu287dnT/jywLCwsLC0tfo1KOwahRqxEZ+SCCg68+4fH2MQIGA1Ox+nzNliSZiASZLJ4KsKcLqWA+atQqDBv6PQSCju6481nYNpsYNxZB3MuZtgRvRSr8/GYgJORGcLk9c/Vc2KItF8J2Bb26S4OpAQdqD9B2pCIScUqPy8lSYkSN+Vs02R6B2f9ucGWeYci22haYC1qrJeesoY4zuVBOix4RVhV1zME9GRd8PIK1NR7B5YK4oQrNFWJwXRzIjdUoUG2Ey6m8YKMR4HAh4i8B+E7mWExc3F0JsdQYM+htCAQ+4HAEUNKompOLtuS1/jxQgWkfbMGve8vxns1zfntduRrvXpYIH5mw5+tNBKyPkoDNbwBWxil9Mkw1eiznrWe2w8XBjcNv7nS5B6bGkohTyjfbi2C29VDQuvg1QMEIv17F2/C4/zioxczvz+6045djv+Cav69hNqG5HC1mpkPBHhAHqWIwzW3vT1mfBB9ZKEIFTsSLHEhW9YELeOr/AcLWQnn7fwDqPKN1jufJGQnutm+5EfPV3R9OTfLFNb/9hoqHmCJhwXGe55KiXUIxv9NOj+ORSqMQEX4nEhNeolELCWOYTiHys9rw/VEc21VNp49V67G3hPn+w3ylGBPVyfnl2EqgYANgqAH+uI15kXaIxSGwg48VnCthjvWs73vrcmlurf+TT7jPK9o//oApK5v+jideE4eZdw3B/EeGQa46dw7Gtv9//cFRfjze7XJtdedRrm3z1n/d7f0BiZBzgahQAVC2G7C2/heOveikoxD6mvXZNVjw+U6UNjLHcrVMiEV3jcH1o/vXPsJyhqItn89HYGCg++bre3pOCBYWFhYWlr6A/In2kiciJvox+PiMP4Vo2/UFS3+HEZyZiw65vGfRCJ3B58shl3su0ggWSx127Z6OwsL3aezE+QbJUuNw+PQmFvd+0YjQ0BuRkvwlEhNePStO3oFGW8E2UsCtLZKjJ2wq3eSORiAu2/ZDY/n+EnhdlAirz3xwJ99P57nsTtR/l4najw5C89cxuP55BvjtOmD14xgXNBY+YubCfkv5Fugsup6Ltheg09bpNFNnv9jiBM/cDE2Zp9DP7hjiniMj9YDJ8X1X/Kmv4Ai4UASrMdgU4863LWvuOiNcJPTFkMEfY+SIvxARcQ84nK4v2/Jrm3Ht13vwxB8ZaGxhHK45gkEoU09gXqulihHheorTAax+ArCbgW3vAZm/n/Ipa9NXol7AiPfjZKMQoehcGI31l9OCZ4QGgxWLW/NGu41YAcz7L23yA1Nw5eCbsfry1bg75W6IW0fQONrlZY5treouiLoYo0etwuRJhxEcdGLH7bnGWmmAMaMOzTsrIRIF4MlAM+73t+CGyJHnfmW8AoAJjzJt8tlteLHLRUm8xryhwbStNdrw/Q7PMOtTUfnYY6h55VU0b9gI/bp1yEuv7RCNcDw2qwO/v70PmVsqThBvHQYDdCtX0uPK9JsHIWkis07kVLD552O0uJlSLgQ33hsuMQ8VAUKYO+v/yFjsaesrgFxP7QOCWBQMFbQYjv1w+ovhVAjo/JyaZqzOrAbfzw++DzzQ+t4u1L7xBs1AJUXJYtP8z3l2cls8gkCghtMuQUlmA3b9VYB/Fx6j9wfXlSJvX023xPHexssrGXJZAoKCroJa7Yko68/Y6+uhKWqAnSdGoTIYDRIlUvyMmPL7JFx76B0sC239n91P82xJp96nm/Jx98IDaLEyx8XBwQqsfGgCRnXWicHSr+ix7SY/Px/BJJNGLMbYsWPx9ttvIzy8a2XeYrHQWxt6PRMw7nQ66Y3QFrVAdqb2Pc6nmt/2/NOdz+VyT3jtns4/3XVnt4ndJnab2G1it6l/bpNU5hEmm1tF2/Nxm5rbFyGTJfT6OZdcER099jQdultS+iUam3YiadAHkMmizpt9Lzn5KyrcWq31cLnIBZWL/T310Ta1d9qSPFuyXj1d9/WljLuPcFH4Re7HyTryvEWQTwuDbGoovZgnj3H5XLd5kaMpBvb/yEwc/hW84FRcEnkJfsn5BTanDetK1uHqhKtPuU08HnFgMfsSybQdaN/Tqfa9oKBrEBh4NVyZS2BzPgrdCBPWN4oRWQvky8IAAzAsVEkz886XberN70kQ7oW0o4OQIWNGceyo2IGwxLAul1cqx7p/H52to8nmwCeb8vHt9mLY24kts4cE4sW5gxDYEgh8M5l5/vb3wRl+E5yk+F53t2n/90DNEeb5AUPgGno9dfx09X04HU78Vvcn0GrovXEY47Lt6vN9cGoMVh9h3JBfbS3EdaPCIBbwu/89xV4EzrWL4STFBHkCkC17YOgDuDLuSnx2+DOsKlxFO3LUXBGGWBgxm0QAeLaVyxwL+nDf064ogLWMcekJHvaIJ2ZzTYfv5JwdI0bfD87+H8DRVwL564HCzXBFT+103R+7KA5rMqvhcLrw9bYi3Dg6HD5y0Sl/T4rLLqOCLaHuvQ/AnfAybQfFekMVJG19PuCwO2iG7d6VRWgoN2Dbb3nQ1hox/ipPDm79J59A8/NCaJYsQeDrb2DStXHg8TjI3MIUJNu6KBdOaziMUXIgQoYr/JWQ8o77DJqrwSncTI/cbbi2vQtX3ExwuFy67iIR08EwFRuxnzMa9jgFhAeYjrkPN+RhZpI/lNdfB+3SpbAWFcF0+DC0K1bA+9JLz873dJJ9zGIyoKnMBy1142BpSkPW4u2dirHeagGik5XgCpkfLHmN1V8eQVW+FmKZACIpn96L5QJIZAII26ZlfKjD5PAN8TqtbeJyJRg58u8Oj/X3Y7lh23bkxl8LrTIOZq4eM0KliI+rQGaNE9mGcjSOegTOq+cCQhn5g9Gvzk/kPPH00kzaudDG3OQgvHfVUIgFzDFwoJ5z+/s2nXht1Qui7ejRo/Hjjz8iISGBRiO8+uqrmDhxIrKysuDl1TGrqA0i6pLljqe+vh5mM9PjKZFI4O3tTQVdk8nkXkYmk9HX1Wg0sFqt7XJQFJBKpWhqaoLd7gn0VqlUEIlE9LXbf2BqtRo8Hg91dR3z5Pz9/eFwONDY6HFCkA8wICCAvh95X/cHxedTVzFZvzbhmSAUCuHj4wODgQRpewotsNvEbhO7Tew2sdt0fm6Tyahyz9fpmEIg5+M2NTZ6hpzZbIHu9+it70mp9IZKNRZNTSQn0IHm5iPYt28+YmNfQHDwVXRbz599j8gQdX2+7w3E31N3t0ksdsLlanNre9H16uk2PZb6GDaVb0JGTQZUNpV72/z9fKmo0Nk2iUb5wVKghd0VBo30Cfg0v8kssPZZTL7obbSVLlueu5yKtt3ZJiLcOhxaGo8w0L6n7u57XsX7sLf5duTZhyAr4QCWTNoOZwMjekyKU9MLlfNtm3rje3IqXRjeMgjfYzmd3lKyBdN9pvdom2y2eggEfkivMOLdjSWo1Hq2J8RbiP+bFY9LUiPoutfxAuEdPQuSorXgtNQD6V+hadDN3dsmsQv8za+7haymMc/D1tB00u8pLzsTOQKmsFCkMxQJSsZ91tU2hcq5mByjxNZCLWr0FizcUYC7pib27HtKvARNDQ0dtslH5YM3J7yJ2f6zsb12O2YfXe2+6HWGjOhX+55D6pEKW+o9bmp9c0WH9Tx3x4hmiEc8CuXmp5gH170Aww1r0NLqVG6/TWqhA3OT1FiR1QCDxY6PN+TgkTmDwTHoT/p7ciUlgZ+aCvuhQ7BXVmCM+iAMl8yl/V1kO0QcGf5dmAe5Px9hQxTI2MREGXH5HCSOD0Bh4XIYTVmQ10XC+suv9DFz9lE06rTg1UsQN1kBm8OKnO3M/5B/LAaARNxyOZitYATKDt+Twwmved9Alr+cFk+kn1XVIWgO/AnBoNn0e9LrTeDxlEhxHIYaTWhUq+BUCcHVWFHc0IKftuVg3mBf+Dz9FGruvY++Ru2778GckgKOTOb+njJ2FCJ/VyPGXR9O83vPxr6XtbkE5dseb7c3nCjYUopykD/sbnBUKnD9fCEMCkazcBZsNgVsZgeaTzJYJGGCGpOvSXLve06HC6s/yINQwoNMIYZIxgd4DqjDpIhKU1Jx7Hw+lpu27IDWeyZcHB74XC/MMwrxj9OTxxsnikMdSRwwtoDPt5y1bSrP1IHjFGDEzOhubVOVzoLn15Qgp5bJnCZHm3vHBePmkYEQ8Tn0+QP5nNvft6n9+54Mjut4ubkHaLVaRERE4MMPP8Qdd9zRbadtWFgY3SiyIXQlWCWe3SZ2m9htYreJ3aazvE1Opx1HMu+Aj2oc/PxmdciyO34dd++ZSguR8XgyOoSS/M3pj9t0svkHD14Dnf4gbU8Yvx8CgfdZ+Z50uiPIPvo4TCbP0Ejy+SbEv94h//ZC3vcITqcVfL54QG1TV/NPZ92NxiLsSWeGFQYEXIakQe/1zjYRV8/Xk+EKJC7BG4DI8Sc4A2s/PABHIyNIBI5aBf6Rr2jbKfPD5TGJKGxmhpmuWbAGoV6hp9ym5uYsGidCiqnx+V7n9HuCxYKmn3+m1cx9brsNgpDgPvk92b+dhx8P3QebSworz4UvL67Gu/tlqB2biOkjQhEb4NVv9r1z+Xty6K2o/k86box7Hhq+HhK+BNuv3g4BT3DKbXI4LCgu/hRl5d9ibfXL+P0Icx1FEPI4uGdSNO6bEgOJkN9xmxrywPlyLDguJyD2hvPhDHp/ym1a9TA4hxbStivlWrgu+/KU30fTX/koPpiNv322YsjQkVgw9dpTfk9HKrS49HOmSFiIUoItT02hhXFO+3ty2MCxm8CRKJn5djM470SA47DC5RMDzsMH+9W+p11TBMM2xhUqv8UPB6rn0LbaZzpiyOgVgezcH8tdTnC+u4gKlwTXvE/gSr2p022q0hox9YNtsNqdVBS96PJ4fJMWc8rvyXz0GEqvuoo5RisUiF77D3hKJY1C+PWldJj0jPjh5SNCcxOjJYyeH4202RHIzHwA9XXr4PsBH8JiRuj2ffQRqO++2/365P0PrClFncGC+4KssLlc8BfycXBsEvgn+/6yl4Pzxy3Ma4SOAm5fR922ZNl9+xeguTkTf+Jq/MW5BhyNBaK9zAiRIG8xNj8xiTrFKx9+2O0kVt16K/yffoq+9oF/SpG+sojOT50ZjjGXRp/W92S3OVBbokdVngYVuVpMvDoOvqHMuYbcqgu0WP6hp+NeFShFcLwSIQkqcNI3oe7n32ATyMFzWKBuOtrh9bMG3QaDPBQ2kRx2oZzsCp2SElCLIckCCAKDwPP3g1Wmxi+vd15UbPa9QxCZ4nveHstdNht2X3IXMuJupdMRQg5GDvPBldIHobVoaaHFrVdtBa9dlu3Z2Ka9q4rpPkQGX8x5YCjCklQnXff0okY8sOgQmoxMh7hcxMNH1wzD9NZM+QvhnNvft4loo0TE1el0bm20M06/Kgl12SgRHx+PgoKCLpchKjK5HQ/5gMitsw04nq7mH//805nf0/c82/PZbWK3id0mdptONp/dptPfJq12PzSaXfTW3JyN5OTPulye5NoS0dbhaIHJVA6pNKJfbtPJ5iclvY9mw1GYTWUQiVRn/Ppdrbu3dwpGj1qJvPw3UFW1hM6rr18Lvf4wBid9CJVqdK9tU2/PP9vfE8n3TN87h8YvKBRDMTz1l/N+m87WfPIZtSESMRd3vbFNzvztQG0mOOTWXANET+y4LI8L+bhg6FYxF9LNrtugisoBireC21KP+RpffNT6b5kUJLt/2P2n3Cbymzj+sdNZ91PNP/5zNB89iopHHoWtnHGl6VesgP8zT0NJhJFz+Xty2FFcLKaCLSE7XIRYRyJGuMwImZkADoml6Ef7Xre26Qzmt39trlIMgY8Uww2J2KTcC5PdhCONRzAycOQp16W88neUljHC6VCv/2I572lYHSKMj1Xj9UuHINqvtYDU8a/jnwikXAtkLALMOnD3fA5Me+Hk616+D2gVbCFSgDPjdSpcnWwdSUa0KbMBAXY17tRciaAJY9yvebLPfWiYClMS/LAlt566hpcdrMTVI8NO73uqOgyseBBQRwNX/8zMJ/EODkYAdIYOw949F9FOW1/f6QgNuf6Ur3225/NVniKV/GY57C4OPq8TorYyHYnVD+Kn2T91vq1dfQa9so5cYOZbwA+zmfn/vgnOkMsBUceRtWTZEJWMFjH6cWcJ4HRhw6EqNKZEwlfIP+k6SocMptEBuuXL4dTr0fi//yHw+echEnMxfEY4di5l9IU2wdYnWIbUGeFwuaxo0uyAdDfXLdgKo6Kgvv32Ez4DR5I3Fu0vgb3FBUj5WOCvooLtST+DQfMBv0FA/TFwKvYCJduB6Ml0WbE4mIq2U7AJy3ENnCoRBP4S2OpMMJjtyK1twbAwJfyfeZYOp3dZLND88gvUN98EQXAwzbbdt6YYTrsLGRvLkTQuGMoA6Sm/D9K5WF9mQCUVaTVUlLVbPUJQZa6WirZty/sHChGjaoI4/W9EXzIC4U8+6F7WLE2FSmKFvaYGttpa2GuEzD1xLDocGHKMyb4WDx6MyD/+gNVsh7mF3Gwoe+0dGArKYRNIIdpfiJolFe7XNYnVkAx7BDahHHZuR+2nYH8doocxQuHx22qz6dHSUgkvr0H99ljecugwGqRR7ukAARcVYVpoq5gCpiMDRkLAF5y1dW+b3/YY0QXXf5uFK54ZAZ8gWafrvnBPKV5dme2OzYnyleGbm9MQ6+91QZ1z+/s2dfXYCcviDCCW4cLCQgQFMcOdWFhYWFhY+it19Z6iEv7+s066bIdiZC3nZzEyIjQH+M+mBWzONjyeFIMS30Jy8hfg8xl3rcVSg4wjd/fbYkzVNcuRmfUQCgrehbG1YEdvw+WKYbHUwuEwuvNaWbqCFAgcDJEwACJR7xWFc2z3CB4mYecFQmRpAeCIGIeM8XATnHO+BryZeg2XVOW5h4fTfMzTH6B21uGTYYHthto5W1pQ89LLKL/zLtiqPVl2Z5O8/DdRsu9hZDUyOaqEjCgRhmscEPhJ3YLthYwoQoHhLUnu6Z2VO0/5nN2Fjbh7aTCKdMx+GSirxy2DV+GT61Lxyx2jTxBsT2DKMwC3VVTIXsYUGOsK8tiaJzzTU58H5IzgclI4HPhcFQ9Jii8kQ/3Abf1NdYeHpsW5259vKYDd0b2cvw7YLcCiq2knDY6uALKZCAoQt+QDe4F5n8AYPwFGYzEaG7egxZCH/gBP6RG4HDoHRg5fiGauH4xOJwq0BX13zIkYBwyax+w3Q65klKIueHhaHJQqMWxDlLBEe2Fx9anP+06nC9yr7wRHzIjWmkWLYSlmRuwMnRaG0MR2nc0cYOpNiTTfVqNJh0vXAsVyz/4V+NKL7lzW9ny3owi7DtVAuL2WumKvCFShpkiH3ctO8rkSEWXSk4A8AJjxJhA6wv2QWMwUSVOjERMUzD5qiJFj1qhQbHt6KhVsCcLQEKjvuAPCiAiEffE5FWwJRKBNvYj5DZM4gW1L8k76/R7dUYW/P8/Ad09sx9J39mP3skKUH23qINgSGiuZoe/ktXR/r0bJ/HmIWPYiAqrSYfz5G1grKtyfuSgxEerbbkXAc88i9OOPEPnbYsT9uxmJRzIQu3UrIn9fgpBP/kuLqnG4HIikAnj7SRAQqYC6PhOBdfsQVrkVXgaPYEuQmBsxds9LmLTtcVw5+BhufWc8zcQllGQ2Undwe6hzdN9l2LY9FRlH7kR/pnnrNjT6DKZtl8uJf0QG7BZ6HMqjczcDW/5zVt6bZBGbDYxTdtTcKEQPY4p4Ws0OrP7iiPuxNojj/fllmXhxeZZbsJ0U74fl948/QbBlOX/o0T+nJ598Elu3bkVJSQl27dqFBQsW0CyJ66677uytIQsLCwsLyxlCik3V1a2jbS5XBLV6aofHnS4Xvimvx9fldfSPpEe05cJiPjdix9nE5nThf2V1+KeecQWcLfz9ZmLM6DVQejOuMYfDgMbGreiP6LT7UVe3BqVlX8Fu152V9yA97iIhI3ZYLB1zt1g6QhzZo0atxIQJuxAedluPnru1fCu+z/oe5XrGYerGZgKvfA1tOl0ScNMW0HapyUJ/C9a2QmViPhVuCS6bE4YsG3DtLwBfjECHA6Nbs8sqDBU4XO8Zctrf4Pv6IuCZZyAZkQbvyy5zz2/ZuRNF8+bTAjlnWwCqqVkGTdYO1HCH0GmJsRZja2owpsEBQSeOoAsRYYQXzbUd1TwEj/nehyvir+hy2fpmCx5fchjXfbMHeXVmfJt5MywORpwaE7gN40JyO3X2nIAqEhj/CHDx68A924nFvOtlD/wIVLcOc/YfDIy865Qvb3PYYIcdkiQ11NcPguoKjwjbHdIiVNQxTChtNGLVkSr0GL6IcYe2seZJwNjEiHB+CUDaLTCoPZE9EknXhbTPJTylx2nr0FrgoxqLOBVTEFVv1aPB1IcdfuTzfCAdmPUWIO566K6PTIhlD42HM0RGIxJ+qmqA4xTHmtKsRvz5dSlqE1o70e121H3wAW0SsXD6LUmQtubPpl4cjsAoJtKjvmETvFbwwG1h9nvFnDmQjR17wuuXNxmx6VjreVfMQ0yQFwIabVj1aQYOriujBcpcVjPwx61MR4bNk9mLwQuARzKAcQ8yhaVa8VYMg7//JQgPvxPXBzDzXQohrHEKqGQdRWP1PXcjatVKyCdN6jA/bXYk5D6MUE8E2KLDTFanvsF04jYca0JpZiMV6Noj8xYifnQAFbJvemMspt08CKbsbJTecCOqnnySumgpfD5UN9wAnrc3jSGZ9N6/GPLyOjzw60GsOFwJvdkj+HF4PAgC/CFJSYFixgx4Tev4P5kQtXIF4nbtRNRffyL0iy8Q+PJLUN9zD3VMS8eMgTAykorwoqAAyLxFiBrqS59nszjotraHHLdIh39bJz/p4O6vNBXWwCxhtqWKZ8cPTuCQiYkOIYxuqgLISJ6zQEWeBj88uwNrv85CXVkzpt86COpQppNOX2/C2q8z4Wjt5GowWHDDt3uwKL3M/fy7J0Xjh1tHwlt6ohOY5fyhR/EIFRUVVKAlwb5+fn6YMGEC9uzZQ9ssLCwsLCz9Fa12H2w2xvmhVk8Gn99RPPi+sgEvFjCZckoBHwvU4zByxDLIZKQKccdK2+cjn5bV4t1i5g/lLynRuEjd9cXXmSISBSA29hmUlX0HH58J9NYfIbEXbYjFoWftfYQiX5jMZVQYdjottNOApXdZnLuYuhU/OvARls5bigQfRvBwHl4BrospImHmT4IkJhBamx1zDuSjwWbHWKUMvyRHQ8bn0YgEw+4qWq+lZXc1vCaOBGf+p8Bfd2GewYhjIjFmJ1wNH7GnuntXECefRrsXNmsjHYItlzPr05sQ52z9xx/D/9lnwVd5HGneCy6D92WX0qHsitmzUP3Sy7DX1sJpMKD6hRehX7ceQa+/BkFg77mZ23eO2WxaVFYyQ6oJPs0HkNcihcCYBJVYDU+i8IWLMFwBpcMLr1bcD4nKF2qvsBOWIYXzFu0tw3trc6A3ewqYBKrj4Rv8JJprGXHyWM6zGD1qDYRCRvA8KdNfPPUyRGg7vMgzfcl7AO/Ul4skOuSzQ5/hmoRraME+lfjESJ7uuG13FjDn6c82F2D+0BDwuN0QpNsz5Aog6y8gdzWp6kULCuLyr90PG02eURUSqSfXvi/hq9o5bbWMcBijjMHu6t20Tdy2ftI+utZWdl/YjpKKMdXHC5ubmlFhtmFTox4zfD3ZyceTtZX5z3XMayL8ldsAbRMMGzehZe9eyEaNglwlwjUvjKJiZkAU85+FiJvaPWvhvZPpdODKZDQCpjN+TS9zl9+yh0pxZZAPtLUmOtyfkL29Cj7aTUipX8aItiSz99LW2CzSqcE98b9fQMAceqPb63QhoDQbJqcToWIhXbf2HSjcTuIhCQIRDxOuisPar7Lo9L+/5FAB2WK0486PJkEg9HSokAzaggN1kHgJaDskXoXQBBW8/SXu97I3NqL6xbegXfpnBze0I1UJ0b3TETD5aWw8WouHFh+CqdXtujqzmt4EPA7Gxvhi5uAAzEgKhJ/Xyf+fkPfk+/jQmzjJM1qgPbRjsLVDNDrVDzm7mf+eBfuqETW0435MRHCtNp22dfrDtOO/P6JfcD2wguncLxBykCjj4kgDI9r62+2IttmBuM5H8pwpx3ZW0ziNwoN1NF6DOJ7n3J+CP97eB1OzDZV5Wmz/LQ/qyYG4Z+EBVOmYY4iQz8U7VyRjQerZ+3/L0k9F299+++3srQkLCwsLC8tZoq5urbvt7+cRFAhGhxMv5DMXD4QfKhpwdWA8BIKOuZTnE2ToP5fDh1w+CBJJFH6v8TgcXsivwARlIsS8szdM2ds7tdPM4P6EycyItjyeHAJBzwWG7iJsddoSLJYGSCTM8EqW3kFn0SG9irnoC5IFIV4V737Mmb7QPaTMEXcVdW/9XN5IBVvCbm0LrjtShF9TouHlK4E4wQfmnCY4dBaYcxohSbmaZmTOrkjH7AU/QNBNAUOj2YOcXCYzlBQj603R1uV0QrN4Meo/+BBOo5FY0hD8n7fdj9ML+daLefnkyYhetRK1/3kHur/+ovNatm+HtajorIi2RLAl1+vVta25wS4nsnx2oTK4GQWVQlSVhGI8el/APt8QBMqYW5AM4oQTjz1ZlTr837JMZFR4RgAoxHw8MzsR144MB5czDhn23Whs/JfGruTk/B+Sk7/snuP2VJDXuG0NsOtTQFfeoXBfVxCRZuHRhag31eOzw59hXPC40xJtx0SrMSrSB3tLmlBY34J/sqoxNyW45+s/5wOgdAfN78WRJcDgy4FWN6fJVNbvnLbE6U/iWVwWB+xaJr81VhnrfrxQW4ixwSc6SfsM8iPvYl+7LcSXiraEL3OruhRtdfUmlB1lBHppgBIBMx9D7SuvQHXttRDFeVzaxGnb5rYlNGuzIF1IRgwxR3a/Rx6BwP/E6A6zzYEl+5jv2sUBHKEyLAhQISJSRA6Z2PjDMTrs3Kv8L0DcTvDvwXaTYnnk3BEtFUPa7v9UU4uVulqnJPif8DuxFhdDFB1Nh7iHJflQ96mlxdMpU1OoQ9ggT8dgzHA/BMV609zSzn7f5FxQR84FBiYegSCIjEDNJYWwDKmDlzQLv+8vx7N/HiFxw8zjPA5sDmaC3G/Lq6c3u8OFW8ZF4kyh68ljhGfxpsXg26MhMdbB20xypTv+r1Z4D3W39bqMfivaHj1CHNuMoF0scGDC0BZs1DDi6FiTGRyeiOYe9zYkR7joEJP3L5YJEJXCuH29fMS45L4ULPvwIBV0SQfE1kOlqOIz+1KAQoSvbxqBoa1xHSznP2dUiIyFhYWFheW8iEaoZ0RbLlcIX99pHR7/obLj0MMjBiMarPZOi2icLxQVfQyzuRw8ngyq1F0oMTFFWAik/WV5HR6L7H3R5nzaJ8xmZvitRBLaO2JHF4iEfh2KbbGibe/yb/m/sLuYC5WLIy72fJf6avAamIr0dpc/RBNmwuxw4psKT8Ezwl5dC67NKMSilGjIJwTDZXNAPi4E4rYL54tfg8DlYIZed5P2rsfezHS2FBSg+sWXYDp0qEP0gV2j6eC2bQ9PoUDwW29CMXMGfa586lTIxo3D2cBm08BYHw+rk7mw9NHkYPUokrHLgdMSgGmjmAiKCx3SeRDw6PBOh3N/tDEPyw5VdogPvWJ4KJ67JBG+cs8+OCjxbaTvvQQ2WxPqGzagunopgoOZgnPdRlMKcPmA93HHJLKvk0zPbpJek07doIShvilI9kvG6fLQ9Fjc9N1et9v2kiFB4PbUbasIAma+Day4n5lefA1wxXdA/Kx2oi0HEnH/EG3b3La2GiONR2hpKYHS4ckLbfts+xybCdjzBVC+F7jut06F22lqBYLtHNRnN+JgjQl/+6kxN/5EUTV7eyUd1UAYPDEYqotHQz5yBB1efzLqq9bDFuaCoALgxgRAdX3nEY1/H6mGxsgM/R+T6IeRCSGIkDC/n/iRgTQbd/t3OxEhOkjnmbj+EIZOQKehIdoyYMfHgLERuLpjUbghXszw/ja+2FKAL/4tpE55knHb5lwlx+6aN9+E6eAhRK3+G06lP5Inh9B8XZvZAaGYh+B4FfiCjp3pErmQ3rrCYTC4BVuuXE5zaEULxqL04CV0nlQSgTiFnLouzTYn5g0Npu7LjHId1mXXYMPRWlr8j3BxUsAJnUek42Tm4EAkh3if1v8kxfgxGPvdvRDYTZB7EVFz1glO2zb0+tZIln6G3epAS5mAdhM0c1yo57rgq9KCq+HACRcVbRE5oUOMRm+Rt7cWDjvjWk4YHQheu/0jMNobU65PxOafj9HpiQY+amVO+MQo8NWNafBXeGJXWM5/zt8rUhYWFhYWlm6g1R10V6b38ZkEPt9TsMVgd+DzMiZHa37dZlpwKHbUde7CQ+cjdnszFWwJclk8VtV7ChO18UlpLa4M9EGYuOuLgYEMyU5zuWynFY3QNgSS3Dv0VnB4HPBOclElFLUXbdlc264gReGIU1MsCkRS0nvdft6G0g3u9oxIz/BEx95F4IG52DGLZkAW4oWFVY2otzIC7yhvGfJbzNDYHTigN2KrxoD5sSqIY48TP+nQcH63nWYEQXvRtjWW5UxwWq1o/OprNHz9NVFG3fOVV10F/6eepMLsqWhz3R4/1J3sx8R9K5s48Yw7L6w2DfS5HmemtGUfyn3Je3DhtPpjasqF21HUFTanDVtL9uHrvRtxKDMN7Wv1xPnL8cZlQzA6+sToA5HID4MS38SRzPvodF7+6zQXulvuUZLz+u9bTHYtcRde/tUZbcPCIz+72/PKW13Wp8mEWF9azOlwuRY5Nc3YcKyWikY9Ztj1QNafQOEmZvrPO4Bb18DUGo9AYnx4xB3XT+CpxHAa7bQoWVP9DpgqPyG/ILfTtl+w6BqguDWjPudvpkjZcfA4HKTZedhQwwiBb/xzDHPi/DocWxw2J47tYmoFcHkcDBoXTPNUTyXYEhqN29F8kwPGsU6kjHgFHH7nUsbC3SXu9tNTYpEW0THWJibVH6qpeeBmMueIbP1E1HxzFLPuGQK+oJ10S4b5/zQP0LS+Hsl6DhpKi1GRDhMykqI9dXoLDBbmHPPuX1m4xk8No84C4apv4X1wD52fft1TyBzcMSf60seHwz+850WifG65Bbqlf0I6aiR1HZNc84aGf92Pk+PBkHAVPrk2FQfLtHh6ZgLtBBkbo6a3l+clIbtKj4NlGgQrJR3OC0sPVuDHnSX4/N9C+HqJkBanRnKsGsHBcoxTeSFQ5MlIPWYw4bOyOhgcDjTbnfS+xe6E0SbBl95yeDeaYOikg5H8DknhUZJpq2/OpB3qHE73CxieC5o1LdAqHPDRcKnLVizk4smxt+MhZyP2pX+MNLPl7EUj7PJkew8aH9ThMZJH/H5eBWwiG0ZbBDBzgImJfnjxtlSI+P3rM2Q5c1jRloWFhYVlQEOKTbXh798xGuHbino02Ry4onY9Ps95k5mZHAsI58NkqkRd3d8wGHLh5zcD/v4dHQL9FbK+bcjkg7Cijik+xuMAC/xVWFqrwRC5FJbWzLGzicNhpnnC5EI5NPRG9Mc8254MkbWWN0O7ugicBDnWHfobg5oiEDd9OBRTw7vltLVY+7CgTD9Hpz0Ai7W2Q5zEqWi2NmNXFeOmDZAGINk32SOqHvLkcrqSr6XyLXGYt/FabAgEXA6uPlyIxyMDMN+/e8MINbpS/LPyTsyKXwCf0a1OvuMQCnrPaWs8eAjVL74Ia6FHuCEVyQNfew2y0aN69FqkGM3xaH//AzUvv0xF3cDXXoUg4PTdsDZrE4QaC7gOK7hOOzICM6i47TT7IcJHgRg/T4cZC6BpseKGVfej3MLEezj4QYAjGN4SAR6YGoNbx0VRh1xXkPNSUNBVqK7+AxJJBJxOzzDrk0LctUTQdNqY+IAJjwLackAVwRTs6gGl+lJsr9nBrI9NhYtjz2x4MxH3Hp4ei9t/3E+nP92cjxlJAT3vUCDLz/sv8DFTEA88EewBcbAVaegk+bz6E+qbk9zbWN/QCAkXUPKc0Dq4VLQ9Pi+1Txh1t0e03fIfIHFup51Xr0+Jx/p9leAY7aipNmBTXj0uahcVUHCwzl3xPma4f4f4g/a4bDZwBB5h0GypQXNzJm0Lhw2C9/ApnT6PCP5t0SJJQQoMD+9kFILLBZ/aFe7JXNNUaLMasfrzI3TYOcmdpXC5cI2+H5y1TG5uy99v4mAsF1bnIcDFh7VgMVp0VloobNbzaRgy1B/ifWXU1bospwY+ezRQuLjgSadgjGArRLZm+NUfhqopBxofpuDtiDmRpxRsHc3NaPjiS3B4XPg/6XHBc4VCRC1fBq7EI7jW60rhdHHA5bjcuc0zBgdSJ+3qeh2ONBthcDiRppDiikAfDAnxpjfCmD1HobU5qOjKPVTjjhdqaLZg3cEqenMJOBgb54fb0sIwKc4PEiEPGpsDf9Yyv63jWZM2BtetX0ULzen/+Qc+11/f4XGFYhjq69fC4WhBS0vBWcmAP10MW7ei7v23YAlLxp+8FDSIfTE6ypeKoqLiHZhubC0eF3dxr793fVkzGsoZF7V/pALqEM/5s7ihBXf+tI/GyHDETGfJhNmReHJGXN8fJ1jOCmcv0I6FhYWFhaWPIRc6ba4DDkcIP9/p7sd0Nju+LK8H1+XAE6U/ep50kHENmc2VKCh8FzW1K9CkYQqCnA80G5ihUgSbZAjirbX4LvsFPNGSjrei1Ph8UDhW+jYgtnWo4Nlk3/7LcDjjVuTlvwG7nSkI1e9E2246bWkBlNVFMJdo8dixp/GO+lu8GP4ZzGUnOpnbI2wfj2BhnbadQVxLVlvDCSL3qdhSvgV2pycagUvCCgnGRrhMzMWUxZkE8Zg0VFts4LdezExQyjFMIcVguQQ7RifijtCu35MWVWll+bHFmLZsLt521uCfXf9hhgmfIh6BFCM7Xeo+/hilN9zgEWz5fFqpO2rF8h4Ltp1BXE91777rvjgtmjcf2mXLO2xzTyDOs9SMRZiw6zmkZH6J3YOY78ZpCcTUBH/2YrIV4sT7ZFM+Jr37L0pKPWKWxLsQD0+LxfZnpuLuSTEnFWzbiI97ATHRT2HkiD8hk0V3bwXECkaopbiAdc8Dy+4BvhwHrH/RXUSoOyw6tgiu1nHuczWToUg9czc12VeGhDDu8axKPbbkdow06TbKMODGv4CwMcCc92G0e46/ZNh4f6L9b6PtGBgoYD7XZlsz6oz94NyROAcIGcG0a7OAoi2dLhYoESItzbMffLQ+t8Mxpa0AGWHIpJDORxZ89x0KZsyEvYE5L5DnC/hKJA/5AkGBlyMo8LIuV/Pndi7bW8ZFdH7cqTkC1GXTpsV3OFr4TMdrRY4Glbke8bE8pwnf/ByBFgcj/Moq18FeUgdw7ADXjJKjJagt1uO3QBdSd2bjseIqXDuG2bfsLmC3mDkGOvgSFEZf6n7dweV/IXG0H5KnhmLE7I4OY7KtbZ+Xy+GA5o8/UDhzFpp++AGNP/4ES7sOPEJ7wZZErNzzhxx/5M2n01KJ57W/rWjAndkl+KSsjhbf3abx5OC2QcRXrd1B1906yg+2JCUcviKaC9wGx+bCnqN1tOhV6uvrsXBPKeTHHavIlFdrzu/GkczoC7JF5at3Q1tr7LCst2Jor0QkkEiKnQUNWJtVjQOlTShrNMJkbTd04TQg50Vnfhlu2LwaAc3V0HNdGKOUAdYWoIxxTkMVCahj0Nsc3elx2Sa1c9luzavHpZ/toIItQSEV4M4Hh+OOmfHsOXYAwzptWVhYWFgGLOQPzOhRq1Bfv5GKsHy+x82QaTDB4XJhfv2/iDZVkpo5JOYOnMLNgKEecjnjgiAY2gmh/Z326xqujMWv3C1Aw3bMadgOyDS4wlAH7P8OmPMhMPKOs7ouSuVItLTk0ygCrXYvfH2noj8VISNIJCdWbu8Mc3YjrCV6bPDegwxZHp1XLqpFYV0e/NHq5jpFPIKlNaaD5cQsVDIs8njB81SsL13vbhPR1v16Rilqjf+DkJMDvp8IPn5SEGl+66hEbGzUQy3w/P1VtWu7X7deh8R6KyR7aiEK94LiIuYifHDgCNhbr4n+lolxw5KbgHu2Al4dhSpS3I7kZzud1jOKRxCGR7irgYuTkxH0xusQJ/SeC4kMUw1+7z1Uv/wSHPUNcOr1qH7uOTSvW4fAV4nrtvuuZ4Klugz2agH4MEPMLUCFn9At2k5L7NlrDURIcaRf9pTiiy2FtFjRK5AgzpWKe7GKPj4isR6Pz+jZ90vifiIj7+35yoy8C9j9OWCoBcg5rw19JXUXdtfpvjx/OW2LnALMl88CX+0RkM7kvP3g1Djc+8sBOv3J5nxMSeg4xL7bxE5nbuS4X7vaPbu/OW3bQ4aMEwL5TuS0pqwSt22ALKBP9929xU2oE12GK8G4oJ27PwM3pvNz+pfTB+HmfB1ya5qRXanHuuxazBoSiIYKA81xJfgEy2iRreNp+OxzNJIoGOI2/ORTBLzwfyi7+RZ4L1gAv6uuhL9/125um8OJ9CKm8CpfyIUzUEJHFYmO36cPe0ZiiMbcjPmXDMOqTzMwdkEMIluLPbUVf7I5hTjUcikmKJjO/di6WuS17j4CaRMsVjlEPC4srcdqRZwSXvv4aDbbkSV24IWbkzAoQgmJfBIqbsqEKSMDQk0lhuEA1NfcesI2ZGwqp5/TqIQWNL73H5iPHnU/RmIkyLQo5kSRMLNCh9t+3IcGgwRl2ukIkNZjwnhmRbc06fFygUcsJxA37fFESIQw2J2Q87iQKbmQB6sg43EhcgCaagOqyvQoK9PBamuNHrI5EaaSIF4qxu7Rgxjx1u6CxWJHqEqKyXtzkBsagZzI4WgKuBRmiS8aVxzDtLvTOjht29DpDyM4+Gr0BPKdkxzw/20pRFHDieYALxGfZguTiAdy7ycXwV/B3NPp1ptaJgKvXX42Ec4NWxhnuY3LwyF/pkDe5GGBQMlOZqQCIaZjnYzeytElebYEnpALeZwCebXN2HSsDu+ty3EXlYsPkOObm0cgQt0xT5cU2SvNbkRkcsf4DpbzF1a0ZWFhYWEZ0BChNihowQnzJ6i8sHdMIuyf30YF25KNvrAZeYi8qAG6w79jc8x1CBUFw2ypopED/WJ4YjcwGHLcbbksAch80POg3B/Y0lppfu2zQEgaXEFDz9p2+fhMQGUlc3HU2LSt34i2ZpOnyIu4G6Kty+6E7p9iaHnN+Dbgrw6PZTpyMKrZCp5X50M8iaNr0KB3IBL6Qyo988rMAxFru9iI9s7kk2GwGrCrkolG8JP4YZi/58KP5y2Cz3WJMB5WQxDriT3gcjhdVjNvY3W9FndnlSCkxYn/lRoRWGWA15QwcPhcxKniMEiViGOaHGSJRCiyVCH691uAW1YRhcD9GuT3JBCoYbFUn1E8gveCy9C8aRNko0ZCdeON9IK9M8ixSVdnQnWhFtUFOiqKWIx2KoqoQ+XwC/OiRUw6w2vaVEiHr0LNW29Bv5IRDw1btqBo3jwE/t/zUMyf3+3jg30jI+YQjiaQIijMhT3fHoxRUR0zJS8kiKiw9EAFdddW65iK4wQDXAi3BsDf6oM6YRMyGw/BaDNCKuhY3KinOBwW6mvj8U5SiEYoBSY9BaxpV3BMKAdmvNHt91mWvwxGB+Oam64bjcAxUegtSCRCQoAXcmubcahMi50FjZgQd2YChEIxFIkJb9JiZCrVmTvVzxbk2EG8iiNkdgxShmLWiK8R7nXui6YRp+KWvDrqdN5d2AiTzQEeIjBG5ItQTgO4BRuxcuNmzJg8GeL2ObAkrkYspPmpd/zEHBM+WJ9Lh+dnbevosu3s2OJzy83Q/PornC0t0C5dCpfFAtPhw/RmzjmGoJdf7nKdBTwu1jw2CanL9lOX5UvF1bgs+LiOQLsVyPyDaZNc48ELECjxxo2vjzmh6JdcKaLHUL3iOli1yyF0ahFqqkCFUQmjlI8Zd/shJHwKZlmtGJ/O/Pf6S6PDXROj8eGGPCquLcypxqetDvSAF15AydVX0864hs8+g/fcOeD7ec555Nh9cNE+RBUsR2Wd53hK8Jo1i0YjCENPdCdvzqnFA78eot8RfR9pLZL9y2jmbqHRjLuySlqPxgCv1AAfjQ3hQ8RoiLR0KHC4fsRJOo1SmDuL3YFdhY1Yn12L9KJGmo1LROsoKfM6fxwpx1NLj9DiZYHBMuSJHdg+NBFxTYx7vvhII5xOl7vAoEIxhObYkvMYqcnQk46E3/eX46utRe5iap3RbLHTW2eCbnvI6qjlHjE3zliHS2sbabdJpm80zHwRlFwOXjv6EGIdTkxWqHCxXnOCaEu2g3wPBjPzvi0Wu7tN7lusdiroG457jLZbp/2a7JhkYjoaMlxW/OfjbZ0eIz+8Zhjkoo5yns3iwKYfj6LwUD2m3JCAwRPZ4rcDAVa0ZWFhYWG5YPEpWAvoCuBwcCCaIIbzqARbtcNxtzkN5pwyLFIOByxVcDgM1KkrkfSsaNW5hrgV2zJtSVYrv7EUqGt1aYSNBkbcDtTnAelfAg4rTEtuxk1jfsDHqckIPQtFyXxU41r/jDvQ1MTkHvYHiHhMxHziuO1OPIJhTzXsjWZ4QYZbnVfiM56n8M5RSSGsFc2QDOrcIUreJzjoyl5d/wEt2rZzJp+MrRVbYXVaafuiiIs80Qg0548H6VB/euvRejideLOwGuSyt0zGxd2jpPjfPiO8j9RDNpxxuc2LnY9j+5iL87/lMjxcvgdY9xww54MOr0Ucw0S0JZEBJP6B0279OhVdly2ngkTg88+75xNBI/SzT7sUTYmT5uj2KirWmpo9BcraMOqtdLivwk9ygmhbktlAiwCRnDyZUomQd9+FYtYsVL/8stt1W/XMs9CvJa7bVyDw9z9l/p5XcjTEI3eguUyCTUlkODFzAZ7sDKUX9RcaRJj4O7MaH23IoxmE7Zk/NBhzQ9TgrClFWksS/hHuoEXJDtQewMTQ0y/m1WzIwdHsx6FUjkJCwisnX3j4LcCuTwBtGTM9+WlAEdyt93E4Hfj12K+e7dFOgyS5+9Emp4IIOg9Oi8VDiw+53bZnKtqS83dIyLXojzgtDmiXF8CuNUPgL4XQzxehqINIaES0dzdjL84QIoLtKWqkIi0Zgn38Pksgsu339tl4SbCQTrds+QQT9jhw2/go3DgmguYxt0Hc9WkRKhwo1SC/zoDlhyoxergfLcxVmaftsiOJr1ZDfffdqP/oIxrVoVvRmj3L40F17am/v606A4wBTIfFHD8lJMcfe8gx29jamTZoLiBhOvaOF2zpPC8hrn2hVeDf/giw6VVaqDayzISjiV7gCOrB43MRwxdjnFKOXVoDCowWDBkSBPWuEjS2WLEqowr3TY5BUrACkuQhUF55BbR/LKWidN0HHyL4P0xHutNshv6HrzFqz0Lw2lychLAYhL/5EmSjOu9oWJRehheWZ7rdl7HKIjw07GsE+kRAb3fg8n35aG6NPOHWmsDP0dEj8w+1hfh1azEuTw3BHROiEBfQvUJoJM+VRJiQW2dmhvVHGYdoZqUOqNRBQgqfzZ0H58eb0eA3DGY7H9UFWoTEM5ETPJ4UI9KWQiaLpe1TQYRNMmLh2+3FaDCQDioPY6PV9DhB5tc1W1DfbKF5vOSeCKMng3x+ZDlyQzXgm78FRwfdAoMsBFXedgTGSBBZXonsxkyQYI018jT8y52B4k1iNK7d2kF8bfsuTheujYs6rgD+Ti4yic35OB6eHodHp8e5he/2lGY1UsGWsG1xHrz9pQhN6CTXmeW8ghVtWVhYWFguTMhQtm1Mlfpsvhz5WVfRYl1hh9fAfjUXLh6wjzMOafjbHTvQ30Vbo7EUTifj5LJJU+E68ge9wHDaOajP8odg0SKornoVnIp9QOV+SHSluO3Ay3hF/gm+Te79C0MiWCoUqdDp9sNoLKLF3SSSvu/1DwiYS2/dwWm0Qb+JETV44OK2WffiEu9rcclfl9B52dIiWCsMXYq2LD112nZPmJkQMgFvjH8DG0o3YFZkuyKBzbWAl2cYcbHRQoeBJnud+mJQyOViybAYXHmoAKVmKyqkXNwzUopv9lYhNZXJZJ0dNRsf7P8ADpcDf8vleFCjA3fft0DQMGD4Te22g9kfSIeF3a6DQND5RZO1rIwKpcbdTD4eKQgmH89kABLIe1pMdurACorxhlDs+etuaDKj6PCJkRtEjBVK+O5iP76hJxYAS19Z5C5yIvES0GXUIWHwefVHuP5eBNc/S2jet+Hff9EQGHBSdxsRJ1d/ngFry3QQXW1K9P+Q0SryuhwiTEEAOJ1cXA5UiJCxOYcMY81FTk1H59hFg/zx+MUJVMCxN5pQQ0XbQfhHxXRqkcJ6pyva2u0GHDx4Hex2PQwtubRzSq2e3PUTiDt83ifAn3cAoSOB0fd1+70sDgumek/CMv1yDDJFIyEqCTyZR7DrDS5JDsJHG/NQVN9Ch+YTV9/o6IF5nOUIuDBm1FPlyGV2QBTqB6u1jkbqkGMI6fw8GxBhdksu46Ylgq3F3nmesb+XCJPj/TA5wQ8+/EEw/vEnpC4jLuftwPuGq/HeOisdnn7DmAjcPiES/l5ieux6amYCrv2aObZ9sCEXW56ciksSfWA12zscyzp12y75Dfaqavc80eXjwI85dafCn7VMPALhysBOjrtRk4AH9wMZi086tJ0I6dy2gmSEUXcxnRwmDQLqLCiKkMJs9uSO3hispqIt4a9GHe6fGovX/2Y6zT/ckItvbxlJ236PPQb9uvW0Y0y3fDmU11wNaWoqdCtXwvHH962BGICVL0NR9DxUBY1HYo4XJg1zQCDkdTjuvr8+l8attDEzSYEFQZ9BwLODww/HpI2ZqBUzx15Osw1BxUaMTg6kcRUkA9Zqd+K3feX0RiJIiEN4XIy626MrOltuRIQKVVoTsqv07vU8phVimpcObWf6vE25CIkf436OQtFq4z0JWqMVP+wswY+7SqAzdeykJB0ED0yNpZ0EXUGc1x4x1+wWaOsNrffNHqHX7nRhZG0uNInT4OCLIXe6cBGkSG+NxiI0a2OxqIlcE5DOY6YD+Uwhp0mZiA+jNx+7RTwEuHiI8pYiRSKATMiHl1hAHevE3dwVsWn+qCkKozEb5LNf+3Umrnp2BLz9zmwEB0vfwoq2LCwsLCwDkqLiT2E2lcPffzYdps/lMheUmxr1SFVI4UPcFxMeg3Pru1hYezEigybRx6WmOow/cgBb0sZiqyUSae1iB/z8er9C7NnIs3WCg4e1V2HdgVtBvCz1mQo05R4A/jkAl8UK9VU/wvnVRHBNGpp1m374W2wLeQ6TfLrntOgJap8JVLQlNDVt77dOp67Qby6Hy8Q4NKSp/hCGeiEMXkj1GYZDTYdRI2xATWU5vNF/MxL7O+2zfrsr2nqLvHFp7KX05sbYxFSLDxoKjLoHSLkK75fU0KrWk1VeeD8xDGGncJSTx5elxuLKwwUoMllRKeXi9nAnfi9sQnysGr4SX4wLHoftldtRzefhgFiEkWYLsPpxwD8JCE1zO92l0hgq3jqcFhwvZ7nsdjT99DPqP/0ULrNnyLxx9264BqVRJ1J1oY7GHTRWGWgVl3kPD0V4kudiLSiGcYiJpHwERnvTfEgyzz/CC3whDy06CxorDRAcN3zS4XCiqdrjoiMu3fJjGnpjGA/OlHGQmWoRV7cZ8Y89dtLPrPxYE62gTi4rjDwVzQa3ysZDpq+F1MjB5JALJxqBDCMnmYMHy7Qd5o+J9sFTMxM7iAo8HzG4cgGGtiSA6+LCyXFiZ9XO035vkm8bE/0EcvMYgf3osWcwetQaCIUn+fxJJunTRT1+LxLhcLf2KlxeMArNvBZIr+r9zGKSL/ng1Fg8/jtTnOjTzQUDV7TlcsDzFsKhscChs0AkDEAz9fM5YbU2QdTNEQingghXu4sasDW3Hlvy6lHa2LEoVPvPnuyrRKglYl5SkKKjQDfmdmD3ZxBxbLiJvxEf26+gLsP/bS3E9zuLcVVaKO6eFI1qGRcuXxE4DRZUac1Yk1mNy1JDTirYErhiMfwfewxVTz1Npx1KDkrGbEL5romYOGGf+/9ce0hONIRcbG5kOkoChQKMVZ7YYUXxjQOmv9TpQyQPtHlLOQy7qxHwUCp4itZzhsgLGHM/8O+btNBWZLkRTeEe0fYSX2+o+Dxo7A6sqtfihZGJ+HZ7EY1EIceDRoOFDr/n+/jA76GHUPvmm/R5Ldt3UNFWefnl0CxcCEtRMZTXXofcgBmoOshsS86uatSV6DHr7iFQBcpoRMHTS49gxWHP+5PP+4npQWhsfAPHKo7i0eJk1Pq0fmdWB2aaePjo4YlQyYRUVCXi5+L0MrcDlQj35DYoSIE7J0Rh3tDgbhVDPJ57JsfQG+kQmPHRVtgcLvq93zN7GI7864QLXJSW2Onn3J3OvLpmM77bXkzdtS3tCouR3fGSIUG4f2oMBgefPPaIIBHyEOYjpbeTQYROTV0Tcrd9g0Y+49iO5nBxeZENuwaVMBXVSFE6xyC0HeWlQh6NKZCL+TRDlwivbdPyztpdPC4R8HolrmzcFbHQ1BhRlt0IS4sdqz8/giueGQGRhJX+zlfYb46FhYWFZUA6naqrfqd5tDW1KzBxQjq4XCXqLDbcmVUMHoeDR0LVuPqfQuxR3IvIOk9eXI3/SFyxZz0VbQ8aRdBABRU07tiB/gwZWqZUjsaBZhsiNPkINNfAaQc0pUSMZRw0de+/D8mQwZAu+ApYxBR8eLHof3hw7zCMmXEldRv2Jj7qSSgq/pi2G88z0ZY44Qy7q9DE18EHKihmejJphwenUdGWcLgxA/Gu8V3+2SYOY5OphDpKfX0vAp/fsWjEhU57p21b5fTTwZX5JzgOK1CxD67Q0SiPm4/ldYwQmWkwwue43MWuCBYL8VdqHK7Yk4NCpwM1Ei6uKinHX8EyxEjFmBczj4q2hJWRwzEyZzeNG8GSG5nCZHJ/JMR3PTTdlJ2NmhdfcheYMciCoQ8fDvOoS7C3UQjD80xW7/EQEbe9aKsKlOLaF0fBJ0jW6cWvzFtEbyd8Tk4Xpt6YSIvdNJJbpeGEeAWXiwODOBB+D9wHnoLJIiTUlzdj56Js+MWo4RvmRR26x9pVuR4k2YRKkT/q/W7CI9UmzKq2Q5F86gvq852Mci11vW3P9+zLhKGh3lSsHR97onuNTIsiFJBn25BoisRRaRGKdcWoNlQjSO6pFt4TQkJuQEPjZjQ2boXVWo+c3BeQPOTzXs8tJznfpqwGSJ1iyAQySAadHWGexEj8d1M+FRd3FDTgYJkGw8N7PtSXFAXUavdBIomEWBx41pyrZwJPKaKirdNoh5DPHAcb7RysLlqOKrMF1yZeSzuNevpfiFSZJ3EHxFGbXtxE3ZWdEagQu0Xa8XG+UIhP4pwefS+w50uAL8atIyNQawnHnwcqYHU46ev/ml6GxXvLMDk1GLZYBfgmDbyTVJg7tPv7tWLOHBj37kNz+g40XF4Gl4QUNx3dqWBbVG/AjI+2IS5SCbsvD1CJsCBASf/rdZf677PA4XFgKdDC1Vpoq+n3XPjePsRzfB11N1y7PoEFLdB7CWhsVhtiHpc6e7+paICFRKM06fH0rASUNZqo+5i4JNtQXXctTIcOQnn1NZCNGU3ncfh8BL31FrgSCUSxsSCfVFB6Dbb8mgO71Ymmqhb8/vZ+TLk+Ab9UN7gFW7KJr8wbjFvGRdLogE92J+C3fVI4/MSAwkntm0+o1Xiq3f+XYKUEz18yCA9Ni8Xv+yvw/Y5idy7ssWo9nvgjA++szaGvecPocCilPYvPIucY1e4ajA9WYku5BjV6M0pHTUZ4fTkdvk86+WpL9LSzsSsqNEaaV7tkf3mHfZbP5VDh/74pMYjx60KUPwNI5IDg8D40Kj3FiAMEXAgipGjh5QF2QC1W499nb6GOXJKV376AWX+AbMOMOwfjz3f2U/GW3NZ/m405D6R0GqnA0v9hRVsWFhYWlgGHXp9BBdu2XFWBgHGkfVJWCxMNm3LB77dFaPz5e+hTHwFa/zdKTbUYfvgjcF02fJP+Aj5Juhn7vCZghmsVDC2eAl/9FTIcltyW5VXg8lwmG7O5QgKXud1FmsMBzZLfIX3/PbjGPwbOzo8gcDnw0qHnsTA6BXfEe/6o9gYKryHg85Ww27XQaHbB6bSDy+27vx+k0IXLZafrdCohQ7e2BKW8KjwU9TbmymfgKWkKvMCIYKn+qZC6JEhsiYTYyIdDZwVfeaJARigu+QTV1Utpmzjf5PKeVYgf6BBxqadO285w7fuFxoEQdFVj8HVFPRytrpjbQnwh66KQV2cEigRYNjIeCzZno1DGRS0PWHAgH0uHx2Fq2FTIBXIYbAZscGjxfPhoSMrSgYixgLBrQd5pMqHu08+g+X/2rgK6jSvtXjFYsmWZmdlJHGbmBgpJKWVm3i1st/275d0ybrfdYlJuisGGmR3H7JjZlsXM+s97I1l2YidO4kC7uueMNRqBBaOZ9+53v3s//5z+DilYLFRNeBA6RxDQSF5sb48+souSIByioPV5AHbfxmY8aU8VXB4H2eNiehE7xP/WR+LSy1YjnejFTsrv9diOkla01pvpciyE0CGRdwjrpJPo9QIN8x550X/eIgVJ9CYhS6TduCdIqvcjc7JoWMyJjjP8pGBYylQYYcqlpK3PImFJ5pLTej3kf+Vkv4x9+y+Cw6FBV9d6dHT8iJiY03u+fv8Pl43IewtgPqygyjPWAAsipwouh427p6XhsZUl9Po7m6rx6U2nHiJmtjTicNH1dD066hLk5fX2oL4QwJUJYQfTUs73REMkTMRBjRtr979Nt5GwRWILczIQT02i+PaFiLVo+g5pIuTXqORQTMuKpEQtCX4bMLkvSwCuXA4kTYBMFAriyvrQrAx8vNOviCRDrS2FbcCIMNgnRqKLxcIGhQ7z+7Is6AMsNhsxzz0LU+2rsDf+m26LCJ/V532X722kBFpFnQZsbjBcoQIsjZb3bYvVx3t0212w1WhobZuo31kiLtx6OyVwjTtaIZ3qtcYSycC64Tccqr0bVocCfO8404drYsMoaUuwok2FLaOz+vxMCUEb9/rrx20XDRnS6zrx/Y1IlGL9R6WUtHXaXDiwqh53PjgUmyo6oTbb8fZVwzEnL5raW/zl+yPd3zeny4oxnS4smpSEG5P7VsITIpn42d4wPokewz7aUYeiZkY/SqwCiMXLu5trcPmoeNw8MQXJ4Sc/lntcHmhWHoW5UIHJbCe2ere/tqcO0RE8ZHqv1xYqepG2bW3fQa3ZA62hGT83P0U9kMl36gNR/V45KoEqik+mlj1TGLdug1qey7wfeFAp0kIXq4dZw5z3xtkcYB1eDt4I5pgyWCDnXrfLTb/zMy20EVUtIWm/f/kgVdsS1e3uH2swaWnGoL3eAM4dAqRtAAEEEEAAfzooutZ2r0dGMt6jbVY7lrcx4RPZ7S0Y9vVydEaMgD6EGUJaRXrM7iyGyxsAMf7QYbSFRePbkEWY4/oNZnMDXC7zgIISzifcHg/WdaqwXsEMlTvrpfCABRY8aAkDDmSysPCRZSDOsqwZf4exYTckrfsQZ+uCfNNTaE/6EjGCwQslI4omuXwCFIo11GvRYChGSMgInC+0d/yMo0efAYcjQW7OvxAZObff+4onxeBd29/hYDvxk3kN4ipSccewO+htE+MmYm301zBvbaN+hESV2x9p21M9arMpAqTtMYiKXAiRKImStwKB34+2L1icFrxy4BXMTJyJMTFjwPOprrqOgq1klM92dyqMQ0bhyzaGDCZBKDfHnbqCN1IswAq+DNcbNKiWcqBwunBNcR12jc3G7KTZ+KnmJ5icJmwZ9wAuylvKeB72MdFSNOpRubUejVtK4HTFYpyXsBVkZCDm+eegKBNC501V5/LZiErxWR2EIDolhPrTnk2QyaFPlZuU51fyuhxucHjsXuRu6y+bAFZOn88T0XwQWo0I9ZkpiHcA0VZmws2L+fORtk0qM97ceBQ/FbVSHsiHBLkID8/OxOJhcQNSXxHSlmCkMQcbI/djcsZUpIemn9FrEwgikZ31AkpK76bXq44+S4PJRKIEnCmUFiV+qv4JSzOXIjQiFCFz/Oq9s4VLh8fj7U01VAm4paoLJS06DIk/NfW2xdzYvT4Yn8PZUtr6EMe7FmkT7kdXzS9Yq/w73Varre2TtCW/yxqFkWlvP6rAgXoNVbz2hdgQIaZmRVJFLVF/91R/njKyF/S6GhksxBMX5eDuaelYsa+RqjdJEJe40QgjUX0CeGZrDbhDEjAzJ2rAij+lcqN3jYWw8OnH3W62O/HDoRa67mEDrrggZAUJkRvE/M9udJQC310PDLsaKLgaCPFnFDhaDL5mJIhywyAaGgHlxyW0IKFb3wAB8ROP99pHxQ6HoC2OkrakS8TlsoHDYb677CARRgcH4YDehEqTFYV6M0aGnNnxj3RSLH18FLZ/cxTV+zsx9/Z8RIQF0eIFee/EzoB45xJbCt+xKIjPwd8X5uKq0QkDIv9IcWTB0BhcNCSaqtk/2l6P9eUd9PksDhe+2NNIifHZOVG4bUoq9a3t63mJAl/9TSUspcxYe5KHAz6bBbvbg72VXWCPj8RfyMM8oGFZpI3f9zy1TT/Bbt5P1zeWlsLplnVbD5CQO2LZQPaxsw3ye1IdLIMxnbFD62S78aqLi0vdhd33maCoB46uBwaZtD2wuh51h7toofaiO4cgOFx0Rs9HfGzn3z4Ev75VRG0fjmxspvtT7sSBBU4GcOEgQNoGEEAAAQTwpwIZcCkUa7sJw4gIRpnxVmMnbVkbpy7CS/95E043GzXpl3U/7kiUDYXcAjxZ8TNV63U2BOFixSb8I+0ucCOuQUpIMg0EudCxX2dCUtchhDl1sOk5UFsyUDbuJoj1B/D+rP1YPPQauErlcEW6weFwIbnycxjfm4ASYQKeSbkD42va8EHe4E7Ew+RTqL1EmHwyVbieTxCfYwKXywguz9/23RfW2jejlLTDETJGmoAb8m7ovo3L5iJ4TBykBdHgRohpW2V/4PcgbUm4TAB9K8QHgp2tO/H90e/pcnX21fjbWEZR7in6ultla/bMwjcyDyxGZhZ+dUwYwvinN+RNHBePf7/ehnuGi1AvYePV9DhqIUIsEqo11ViYthDjkubAaQGcVVVwdinhVCrh7OqC7PKlqD1qw6bPK2i7KITMRMkuDkXc7dcj7OabweLzkSHWQhYlpkQtmaxxjk07P0/oSdgSkMn1+MsyEPvCv6B3BtFUbaMkDkZpPPg2PZKafod0thVdejdua9BADw5ChFxw+rBo+KOiU2/FO5ur8c3+5l4qMBLURBK9rxiVcEo+kHyilOaykGVNxhedLyHm+lNXkfYFUoyKiV6C9o6V9FhXVv4XjBzx1RnbAnxf9T3eP/I+/lP8H7w46UXMSZ6Dsw3yed45LQ1P/VxKr5PP/8PrR53Sc1gsTJikz2/6QidtnVpGcZ8u8xP4NdqaXvcnvqZE2frl3qbu1vZjweOwMCZF7rU9iERGpGTQrTKORYiYR0OhiDLz+0PN2P5LHXYaXdBKOGiM4uGWlUVIEwtw34wM6pvKO8HxjnxvJlM1XQ8OLoCgj06Mnw+3wWBlfFldMWLqa7s0qg9SkQSPqWuBLc9TxSwtsnlha/QHBvITgyFMl1F1rWFrCw2HU39dicj7h4Pt9QdPSyNeu24IhbHH2TVcEyuH3uXCdbFh9H0ee/wgQVf5cadWdDjYrMWYK9Ixcm4SPVcQZEVLUdyixeK3duCo0gQPh4XwFAOGsYT4v4unICn81DMKyGc2MkmOkdfJ0agy0eCv7w42w2x3UQL39/JOuhDbl1snp2J+fjQlfH1qZdWKCtiOer3ROSwkXp2D6YcbqIqXZXfDZnZCHc2DvN0Bg8oKRY0KLXwO3ttSA5kzBAu8ebipIY2oNUTgxgnJdCE+vOcK5DNg/+0t4Lt6er2O56bhcO0cxs6IYJzFyviBDyJIt0vDEUalbdHbIQkdnPNmXFYoplydia1fMhZvpdtakT0+JmCT8AdDgLQNIIAAAgjgTwWDoaTbZyyUWiOEotlqx1ftTKLwk7/9G+i0oTFlMWwCpk2vTdaM7dpwsCWNKElmYWiDB2wDB9JWDSZpClGVcS+mJgx+0MpggtgOkAn5rwotdoWOwNRRn+H9Xz9BR9RIWIVhsArnIaduBMzlEdjtrKUelhMuS4dHEgXXTWtw+1Erulws/KzQ4tpYAyaFDl4oWUzMUsTGXo4LARYrQ9oSkPbT/qCyqPDaQX8L7d/H/R1CbyiFD1z5wFQffIF/37H18G8N4NTxe8Pv3evTEqYxK24XcPhruurxsGFOX4xPOhmlD+HS70w4PZ9cYmcAthux2eH494EuNGRKMT7TibYnn0SUUokXu+xwdv0HneqX0OmzO+iBI5oaVNYTUss/OZJ4tAh/72OEj/erVWMzZHT5IyBk7hzkjhmNzueeg36Nv6OBwBXjxq7sePzI3QvE78Rycxp+5Dx11kmicwGNyU5Dlkh4j62Hv6JMzKPt+9eNS6ZBN6djM8CPk8LepAeLy6HEB/s0nqcvZGY+BY12H6zWFhoG2dj4EZKT7zzt57O77Pi26lu67nQ7MSS8dyv32QQJtnp3czU69TZKGhHfTaIwPC3SVnxhhkZyQ/3nE5eXtE0JSeneRpS2PuyqUeKpX0pR1+UPFPQhTiaidgeEpJ2QFkZDkc46LFqgZiMwZGn3JvJ7uHZsErCqDZZaGzYNE4Olt9NuhHqlmQbMvfb7UdruToodff1+upSbutcjwmf2WaT/Yk9D93VXIqNqvSTqGAsGlwMoZvZdcPhAfm+7EHsjY0tBwE9ixj7Bs5NgrdXB0WyAU2WF9pdayK9gumRCQ73FFVUtsOEBYMbTgIQ5z1weLceV0fJexz1CsJP3+vnuBiSHBWHNA5MH7IP67YEm/O2nUkxMD8fHNzDFCofLTYP5/k2sC/Q8JHB4+H2CFK1RscjwbEBz7cdICv8VZ4KksCA8szgPD83KxFf7m/DZ7nr6+yM40qLDfV8fpvvaTROTcfmQGNi+OQp7A/M5ku6jsOtyIcwMxRUcF8IFXKzjO9EazIGkZQc4nhyEq0rw3/dr8JGA9H0BBRH+3+XVww2YP2EGDeg6H6iv8hfX63luDEvkoULDkLbpdjsiyfk+bcag/s+qfR1UDUuQNS4a7EEs3uZNjoOqzUSJ8tk35wYI2z8gAqRtAAEEEEAAfyr4VLYEkZHz6eWbDR1weDyYd3QbpPt1MIqi0JTATABcLCfWkvAtMg83x+Ng9khwRPkQWtXg1X+LJYqNWK6YitsvcNK2pXU56urfx0/uNwg1hAZJCmx1RnQmMVYELpYDlZ4Q5DOCFBz+vQnhXC04/3kG8W++gcfSE/GXKobQfKamDRtGZQ4a2XIhkTYWr9KWxeLSQJpj4SFtpSwWXjn4CvR2ZgKyIHUBJsRO6Pc5XW4XvW+oMPSk9gh2W0Bpe7qwOq3Y1rKNrssEMoyOHs3cUL8dLHM7cx/3SPyakwC1ifHlWxwhQ6LoeMWKrb4ejpaWXspYp7ILri7fuhJukwlhd9yB0Gtvh2RKPHJjJfDY7dCt/PGkr7U5fjqq6/3WG3mTYzHu4jQIJWfQjjxAtNvsMDjdyBALzspvjxsaSv0YpXPmouPZZ+FSMwUx02g3vnBPBIvDhLSFgv2Ht0bQmu2UqP3vjnoa8uMDaT8mSrNbJqecOLBpAAhdmgGOhA/2INtgcLlS5OW+hkOFV9P9wIMz6xRZ17AOKitTDJkqHI8Im4ycas4JhDwO7piShmdXMcTJu1tq8N6ygdvsmC1+Yo9YsVzoSluXxkovxTwx4iRxaDW2UtK2Q2fBC2sq8dsRv5cq4V8IoecLESPhTOf0nLvzTWD7K4DdCERkA9F+H2zio0mIogIDC9uGiIFWM9gm/++IKIT/79cyvL2pmpJ/pPhBlLoEVmsbFJ2ru+8bHn48SXagQYPKDkYlOzxRhjfmDMNurREJwmOUmTWbAJPXOz1rPiCW9yJ+SdGEgC3mguttSWdx2Ai7Kgudbx2Gx+6iHq2EhBQXeMeCR74Bfr6LpG4BolBg9rN0c1/hZ3wOm4bAkYJPVacBq4rbcHEBQ1b2B/K63thwFG9vZhTW24924dsDzVQ5/fB3RSht1WOqhYs4Fwc12SI4opjXvRcTcT3f7xN/piDfBwn9It63q0vaqHVCebu++/t7e3UlUtc0IdPDkO4sAQfhN+VBkMyoiQsOqZBVZgAyBPg4hItNw6Lwz/ceB9vjhE6bD4y9kd7P7PHbRhGl7fkibImnbHOlkRZbLSwP2jlujE1UolrFFOvGE5VtaDIg98qCBwHku+4V6Dnh9IIoT4RJS9Pp2DZA2P4xESBtAwgggAAC+NOADHw6e1ojhM9Gg8WGbzrUYLtceOjLT+Fxs+jAxYFGcJGG0vAqqB3M4Ivn4SDBej06ozjg2vVgWVdisWoHhNFS+twXEvl4LIyGCpQ4Y6BhMbPoGWEh+PyKccgsZK6LhFaoeVxsEzoww8pMaLb+0obRLSq03Hc/rvz+O6yQiiHhsPFSogSsbf8EpvwVYF94KdunC/Id+khboSC2z1Zh48427CjdjNUSZrIYzA/GX0f9tc/nMzlMeGTbIziiOIJhEcPwwewPTmqPYOsRuhUA0Nz8GXj8MERFXnTS1u1dbbuopy3BjMQZ3X62Pa0RjJzZ+MTpV5/dk9h3saXzpZdg2s6QiycCIXB5EX4fa2JnwJHJ4NJq4WazoQkOgSwqCiHRUeBEhIMjD0dVTReq3X5VWMyQw5i6bPo5OX6QfXzhoWq02hyIE/CwMEKGRZEyjAgW05TrwUTwvLkQjxkN5fv/hlFViY7pxSgrlQNeG74htrg/bAhZs9pMW88JSUI8HXu26pPQnjunpiFMMjjtqz33LwK1VY1yVfmAQqdOBplsFDIznqSt5SEhBWe0X60oX9F9/aKKsVC2liP6oZE4V7h6TCLe31oDpdGONSXtqFEYkB4pPSWlLYcTBD7P79t8oZK2Dq0VJaX3w2ZrRyTbDNI7ZHaaMevtn2E0+RXGIxJleO6SfOTFnlq7/aCCJ2YIW4I97wGXMqFhBKVer26x3YPZQhHWprrAaTWD5SJO+9TaFMF8PSIF7Xjtdyv+vbUW14xLogShQbECOv1h+nihMAFBQb4IKz96qmyvH5+EZJGALseh6Ev/esE1vW5yKi1wm51wwY2XEv+L2h//gZcnv0yD37hhIsguSYPmO8YmSfNTDbVPoF02KVMAEqrqsgMHPgYmPtiLDO4Jcux/dG4WrvnvPnr99Q1HcdGQmH6tIexONx5fWYwfDzOfH8HNE5Nhsjmw8J2d9HYCLRcoi+Jhe76XaPa4cR/eQIZkOAYb5NhH/KUvKYjDnjoVLWQdqezCGxAj1UvYauHGTwlCLOJ44DvasIN49Iue1ebAxyl8FObkQRMUhDCjDqM7K5ArBW6cO5Q+74F9b9AQYdIxR+zIztTO5XSg67JQ6xs2WGjguuBhAcvy5+FGlRV7djzLkLZD/NZqg4HOej0N/iQgNkmhZ+G82Zdy12F3gcNlB4jcPwAuDNOsAAIIIIAAAhgEGIxlsHrb30Nl48Dny/FaQwdNkL9v9efgK5jWLgGvAzuG/oCt6SswdPI4BAu5kAfxYWMDtXwmiMzJD8YXo4aC6zThYs0euFwm6HSFdPJ6IcJorMQ++NWgowSd4Db4CSsXOwh/mZCKQwIXqrmM0sXBk6As92ZYG5vQ+bcn8dXQFHwfaUDG8jnA1peArS8P+uu02jqg1R3C+YDTqaP+jv2F0bhMDnRtrcGb/M+6tz0y6hGEifqe5Iu5YlR2VcDoMKKotRDGir4JWYGgp6dtgLT1wW5Xo6b2VZSVPYj9Bxaf1DO6pzUCCQKjsBmAcqYN1O0Jwo6hc9BkY37D00KlyJf2HRzIjejfMoEtkYCfnAzx6NH08lgkffUVqn9ehVnvLMfSF9/Dpfdej1euiYHx4etRl7IQJT0I2zGSrzFW9MFZIWwdbg/2a71kiRfk/1zqbQ0mxO1/WrqwsLAao/aU4+nqVhzQmWhY4WCBK5cj+u9PoubuhbjT/TF0Hnv3bSNHj4Ewq28S40IFCbm696tCTH1lC1XY+ghb0sq8bGwitv11Gp5ckDtohO2xeHTbo5j27TTctfEulCnLBuU5ExJuPCPClqBQUYgKdQVdz7AkIteSCvHwc9t9Qtrnb5vMFFjJLvzeFr9dwMmsg3yWScTP9mwWT4waK2oLFbBZ/GrSgYLYYkgmxiJ4bhKCJydApz1Ixxxy+P1WLWDUeKFiHv65ZAh+uHPC+SVsCQqWAULvayj5HjB00FW90oJGbyAV8ee8KyccEHDgSmIKyeQoNCnuMN6Y9nf8ZdR7CBepYLK78OH2Okz+5xasqvAfu2NiLjvue1PorVhXyvyvsCA+JUH7hFkNHF3HrAdFAmm9bRbsXj/bYvFRbGftp6rm69deT4uy9CEjoiAuYM4XxJ+bhG253TaoHDUwZo7zPokR2Osnq30oNZjxWFUzvSRqaGJXQdCoMneHpx0LvdWBGz/d303Ykrd934x0qqx9aW1VN2GbHinBDXcVYM0EP4l/FVagAIVoKRfSIMmzAfI9TEgLxyc3jsb3SwqQ5CVWlXDjXpjxcY0Cl7y3C5d/sJt+P/u8h8p0oxsRJhctdm4ew4xVeW4Xlqebur3Ag73HKRL6a/R6GZ9L6Netg/nV/0ND3Hb8KDHggMBJFb/DE8IwTFGLO7V6DLPZgdTB9bPtrbI9NyFh5Fj14yuHsPfngR1HAzi/CChtAwgggAAC+NNApdzayxrB6HRhi8qACLUKF6/3JhCzPIgaPgmvt1wH1Rw2hs8YjWUT7VCbbLj6o32osDuQ6eUdIjWjsVm6GxN2/wP7FYzacuKEHTR84kKC2+2gA1ypYxg2Fd+ENZEzMCfuSqzTMJ6DJrYdJqkATy/Iwq8taqxrUCHa4obUEQxdSBrqkxcibcOvEC3/AqxZOYDOO5kgLY+JY4F0JsztTODxuHHg4KUwGEqpynXChO3nXLnc09dQKPInR/tg2NSErySr0O5tLRwROQKXpF/S7/OR1z8saAg227fBxLKgsroEo3KOb+HkcMTgcCSUMLYF7BG60dz8KdxuRjlL0u1PpKqxuWzd1ghE/Tw2Zixzg1kNh2AEeKY9MLumYH5uIr6M4OG9JgXuTeqfVJJMmwZuZCS44eGUwOWGR4AbEU6vs0X9JzaToo3HJcP0SAGmWIG9zWsgVH+ILbQtlo8Fuou77zte+hlGBP0CkN3uyLfAsCtP52M67v8XGSz4oUNN/adVDicOjs9FfI924KXRodijNeKIwQynl59tsznwYUsXXWKoAjcEy2LCkCM5s3Rqip1vQthSiOmakTgsZGwqCPLyhoPbQz14oYL4CG472oX/bK/F3jrG6sEHIY+NK0cl4JZJqUgM67sAMFgwamzg6STwUDoLuHn9zfjXlH9hasLUQf9fLpcVHM7Ak9h7qmwvUc8ACyx/m/g5BEmR//e2WmjNDvxS1IoHZmYgOfzEqjSbrQ0ej/OshpCREKHCdY0o2d4Ct9OD6NQQXPbXEad8jpMtSute5+yLAOydiOIQBR7z+2YLOnFF3mw8Ojf7nIYznRACCTDqZmDnG4DbAez/CJj5FMp2toHNsSJmzKcIie2EoagNE3A/kpJqsb5pEsxOMXa1DsPcpGjESjqwbIQD/97HpqSk3eXGisJgTIydR1Xiu83jIak5CqmQ61142FDe2R0GuHBoDJwuD/icPjqiSlcyaliCoVcAnN70h88aIdHut0siv8E3D72JJ8c9Sa/LLkkHRy5E8PQEsHgcOJ0GFB25CUKpCxNYLLBIFWHff4AJ93YT2CRf4PYyRglMXuW/ssT4y9wsXPb+brqNWEJcOjyOWn/40Ka14KZPD1ALBfrRctlYMiKeqv5JGBgBeXu3TEzBDdNTccmRWli9RbiJtjos4P9C1xsKeVCWH8Lc2/IR7LV7OBtIHR0Ls4AHzdp6HMyRwljcAhjt3dYVBxoOUYXgSkgo6ZRZZYAWLmwcNRGXb14LJ0eA2rVFCLvyCvqY4OBhUCjW0HW9rghSSTbOJfTr1sOwbh1uJQX7yZGoDUvBrDAJE7ZWR87y5AtgMyrrQYLd6kT1QWZcyBNykD7y7B9XicJ25b8O0XOOstkIeWwQsscNviVDAIOHAGkbQAABBBDAnwbJyfdALp9EB30REbPB53Kwd1wOVpbqEDdOjY5DwQhJccMhuxI8mQgFU5hQB6KyJctlI+Lw3611sLFcEHg4SFUPw/cxcszpaAI3SQYnj00VrRcaaWs218HjseOBro+RbTIht6YOpZY0sD3MgLeC58Ej45JoKv1Llw3Fgrd34NcgPa7SBYHj4aAxaS5kuhrgtdchzPsEQTOfBjb+H51quFbeDs6dO4CQE/uvnQwsFhs8LjOZIe1v5DUHBfknqOcCFqtf2SIS9lbaOrrM0O1tRVkCozrgsrh4evzTYJMB+rGo28YkUeddiuHxI7FZw5CJRYrDGIUZ/aptzWYj7IEgMgqHQ4/mli/oOovFQ1KiP8m7L+xp29OtfJqeML3bGsEtjodC/yTYThXYYiAqIxQzOWzMDDtxSFHw7Nl0ORXYW41Qf1sJp8ICyaQ4fD4/BTe4JqNM/TFYcOH3xjVYeNEdSLO7EZ8dComyGihmHuv57X6wIrKA2NNTPJIwxR87NPi+U40aM9Mx4MN37SrM4IpQ1KShATFHmrWU9FiSLockKRi1HDd26UzU15ug3ebARy1K5ASJBoe0PfAxpumaMAbrMDpmGN3EZnGQGjJ4nn9nAyQc6Jci4tFYh2pFb8UyUe7dMIF4bCadE3LMVqdF03dHcalmDA6l7kersJG2w9+3+T7cnnoP7pl0+6AUuYjqtLHpP2hr+xZjRv8KHu/kAXhEebi5eTNdlztCMFk/AoLUkPNCyJNQLUJYvbbhKAhfR+wS/rWU2ef6g7lHsU48yH62RFFbtKEJRZua4bS5ukOExixKOe3vixQRvjnQjK4mNvLDgBi+vwNh1jAPXpo7FBcK7HYVjMYqWOJDEMti0/Z8HPwYrnEPUvWg2ymAOKocbjbj0XsP3gJ4ADvFipXVi0Ga0Fc3XYtn5ygxJmYCrpmWhk93NWDFnkYoLWH4pfYi739q7Pc1kKPah04T/rt8N/iNRkg5HErqEnKXqCT/pfkIviPRfw3jYNlUzdwm5NHbM6s1lBKXu2RYPv1H3LZ9GawuK76p+gbzUuZhZNRIsIVchMxJ7uUXTQqxVqERilg5olpVgE0H7PsQmMoU+GfIpRBz2DC73PixU4P/S4vFiMRQzMqJxMYKBdp1Vny5r4laQRCUt+lx02f7u8O+ZCIeUiKCaAiYD/GhIrx6+TAMTw7F0sO1tJuCYGSwGE/wtkDnHV44jJFQdBrw7QsHMPP6HKQOP70wzoFAPDQCotww3Mpl49r5mbSYQqwTfMdUovfdBAeq4MKhLicIRV0TH4uSIcugko2Gm8NHSkkDIoYkIyTYf37U648gLu4qnCt4HA6Ydu5k/rcwCJVy5lgxPjIY0LUCXZXMHeNGAaLBCw4lynyH99iRMSoKPMHZt4Tg8TkYMTcJ279hbD+2rKiELFJMi00BXJgIkLYBBBBAAAH8aUAmSaQNtGcrqITLwQ11X0AbG4wi0V8wTNgOAQSInJVEk7t74vKRCWhSmRHR5YG+Sg++SwiTdgRqlRthUMehKioGacbKPgMxzicIkUwQpbDRTIzaNZE4MiIUdHRMJlZ8NnKnMCRlVrQUNw+JxYdHPNgZ3IKpOmZgWp59PUYfehmtjzyClB++h65mB8IbNoJjUcHzw81g3bgK4JxZ4I48bDLUml10Xa3ecc5JW6vXz7YvewTd2gZw3Cy83PggtowrgzONjzRZH6+PEHFfLGbWK1Zh5E2/ACXM1WJrOTxuD1h9+IPx+ZGwWFrB44XA5bKBw7nwFYhnOzjPZ1URE33pSQshPa0R5iTP6V5n8dmIvGsYzEcUtL2YhMf0p6Ahk7LghQuOI1OcLjejpBmA56RTzUyoTQc6EDw7EV8MH4qZzaOg0+0D26XFbYVr8J/LFiE/PATFxcPQqqhFXIcNLKcV+PY64PatQNDAPDUNThd+69Li+w419miPT4nneIAQvQPv/FCGt1W9iVyClgOtwIFW8DiknTUM4ekytItZOGC0wA0P5kX0nqARq4VfFFrqgTsmJGhgHrhGBaBjSIVCdzJYXpV6cnAS+CSl/QKEzuLAV/ua8OmueigMvT+31PAgGjBGCng9FXBn/TXV6hCstSGYFYT7qh/AxnlrsbF1A1X8/afuXbTYGvHc9H+Ad4bH4Nq6V9HU9BFdr6x6Cvl5b5+UXPy64mu4yYmFKBo1U8AD95xbI/TEDROT8eGOOhisTvxY2Ir7ZmQgQd6/CtphV4PF4tPC5mApbYlSrWRLCwrXN8Jm9lshcHlsSMOEkIQOXMXcE6WtOvz951IUNWtxXY4UCAOiuB4EcSTICc/G2Lg8nE8Qgra9fSUdcxhNVb2KkOwIHmKIBZVFA93mT2ExkEAyFtjOZLAF9QgKyoAkKAsSSRYezs3C9v+a0WV0YG9LIqziqyGVykAcih+bl02Dr1bsbcQnO+uph3F/8LBZsI8NhyeYD5eUB3edAXqHE3or852ks1qQKqii6yXuZDx/kBznGaLKhxSwkQ8OIjxsfPL+UfDlsyCIWkVvu3/DE3go9wPkRocjNSKo1zFBKIyDyVSFujgOIts4YBF7n73vAePuBARSOva8NFKGL9vVMLrc+KVLS7sbHpmTRUlbgve31OCq0Qm0GPHJrvpuwjZcwofV4cbhJiZQk+DqMQnUmoWEID5U2YwDeuacQDonPslPQcOReu89uRAHxUFnssNucaKtWjtopK2tUQ9HiwGSib2L+L6xNPl8rhydSO0OSPcCIaWJ7cGcjCjErazCBjDfC6fTgqOxUQi1MeeIip8PUtJWKs2jHTfEKomQtucS5sLDcBuZMcnB2Gy4vQX7zqiN+OxAM8bzeMh0OMBKG9zxf8Uuf3dKzsRzp3bNnxoHVZsJZdtbaXfAmn8X4/InRkNK/JoDuOAQIG0DCCCAAAL4c0NdR33WfjM/Br0rHZtM6SiS2CBv6MSj2bJe3oTEI+zf145Ec4Uav1YV0W0XF46Asr4Ydyx6A0loxBwjo6q8kGAwVkBgdSFU74ShTQidKxo6ThS9rYvtxozUULC9icwEt8pDsApt2I9IJEhakGqMh4MvRXP8TGTUrkTLQw/jsbsfwevtJYi3dYLVvBfY9Cww57kzep1y+WQAjE+uSr2Dei2eS/hCyAiEPUhbonKzljPeezypENdfdAclAPtEeIZ/3W5AttUMAfiwwY4yYQ2cKstxwUIEBcM+BpstvKDD7M4VnE4TtUZgwEZS0p0nvL/dZcfWZsb6RMKTYFzMuF6FGn6cBJ4YMQTsvolXp0aDjn/8Ay6NBrqffkT8+++DLWQmJrVdRtquOjMnEnPzojElI4J6Z/YFThCPehuaD3bCY3PBsL8DB2r1eDTvCjypYwJmOIYduKV0CD7KT0YiPwxV6RJITC6EGJwMufnDjcC1Px3XotsXSGvtFrXfz7L7Patt4LSZ6cTX7PM/OCapnOxmJKmcwOHyYN9RJUAWQkxGSZCZHYaKRi1GJ8vppJrg+04Nlrep8HGrElF8LhZ4Q8wIgdtXIjrFPn/43nZuAlhshhBJRSJcOhv1gLxQQJLOCQn0zf4m6p3ZE6OSQnH7lFTMyok6L6EspZUa+GKWsqJDMW/GK3jow2ewRfQz3ba69Te0rmnB27PfQqiQ8Sw+HSQm3IS2tu+ovzfpSOkIm4GYmEv7vb/LTRTkTMGE5+FivnYSaUOAKD8c5wvBQh5umpCMtzfX0Pb4D7bV4oVLGSugvhAdvRhRUQtgs3XSILIzgcvppgrSA2saYNb5yUQ2h4W8SbEYeVEygk5jnyeFhNd/r8LyvY0QeBgi0W5jiip8NvDbvOcREd7bi/Vcg1hqFB6+Fg5HbwsRH5riRQxpS8719Z/hmme2o2xnOxLT30V8JvES7n1cvW9mA57+hfFtfmV9FZbfMrbXd3z3tHTcOikV9UoTjDYHJWKNVicl68l1sl7otGOjiPktx1rcSIgNobcbbOR+DmS5WmDyCBDEsmGlq++W9nq46eKDXT0BXGkxOOIm6F3t+NuW12Hvmg9yWEgOC0JGlAQjpCLku8WADDAL3XDnLQKn9GdKWNNQskkP0ue6JjaMkrYEX7apGEuamGAsGhaL3460QWWy0+LRvTMy8Pwl+ahRGNGgNPUiqiOlAvxzyVBMz2YKJSq7E7u8XuYiNgufDUlBJJ+LCgujRhaJ4nHFE+OweXklDGorxl82OMVxa40Gqi/K4bG7AS4bkrH9E4zkvDwtK5IuPlufkM2tCNJYQKhmUZcNi6+eiB2fddLbGxu8ZC5HhMSEW2h4a0jI4IepnQjG7dtQmXk1bIIQ1CeFgpUkxph2G35r/47mFshSMrEt/Wawks88ILInRi1IRvnOduoBHZV84g6hwQT5jiZfmQFtpwmtVVpYDA6sfr8Yl/1lBPjCAEV4oSHwjQQQQAABBPCnQ6PFBoHHA8mhg5CkS1Envgz69tH0NhNPhx1B7bAetNPJwHd3jj/u8XFZoRCKObCaXVDL85BbycWYsiPYM2wUavQ/oP/p4flBi74RMV3MoLeuQQJzUDS4TjOcXDGO8l24f24PohFAxMwkPF7Ujvs1GvzOCcZ1fB3qZfuQX/gbvd1aVIS/b/wdt418Br8U3Qc+8QPc/TaQOB7I9rUrnjqIyoYoTu12BTSafTTMg80+d6RORsbfKVFMyNsgcTrdRpSx2tU+hQoQMiepN2FLlITicKAnITjneeD3v9NVXssB5AqycNhWAgVPjZa6eqREHK+GIpORABi0tX0Dh0ND16OjFkMsPnHLMpfNxfuz3qfkEbGtoApO0upfuwlImUoV4PdVNEFpd+LexEhMl0t7keOK116jhC2Bji1EopewJVhf1kEJE6LYI4uIx8HUzAjMzY/CjOwohIh6Kxulk+Ioaev0eLD+x1p0WVwQV4gRm5WMNk4DBJaDMLrMuKW0Hs+HZyGBzUJJrhQTSjxgm7VA/XbGGy/Db81AJrSlRgtS+HzaIkvsDYjSrtRiBtKY0B6WyUGJWnabBWxrb8KRKMAK4mUoSJRhWLyMkgIkbIwkfG+uUGBzpYISlj40dhrpsmFbI20PnpwRjmlZEfjdxng7EnTanfikVUmXSB+BGyHDWFkPArfkB2DHa3TVBTY2ckkhhCFtY6ulsKcbILoASNuyNh0NN1pV3A6X1wOTgLyNubnRuG1KKkYmnT4ReqboqNOhokyNlBAueCwWxFYntWV59Yb/w/P/jsSvoZ/AxXaiSH0YV69ahvdnv3fa1hMCQRSys59Hael99HrV0Weon7RI1Lf9DYfNwY+Lf8QPu79Cx8FayFxSiIaEgS06v1PImyelUJ9PQr5/f7CFqm2jQ/pXiBHCcDBsjfb+UkftEPxPDGSNjcaYhSl9eocSq4MTFQHIb//nola8sLoSSqMNU8DFi2CKfm0x6d0RZIRwPt9Qq7f3Imx5PDlVzfrUsxJJNjzqx8Fq2AWoayHTbsfEpX2PF0gwV1EwCxwxFy6zEzuqlShu0WJofO+2c1JQIt1B/eG64jpAxRy33p6ShUmhve/rcM2FyfAQVGW/4uqYaZgPKYw2Qvo6e5DADtQaD8Hu4IBlT4JC70RN1+VgJ7wJFtsFftgOOA1D4LbGo05pQqPShFshATsnFFbvy328PRv/JKpieGDb8TYak5YhOSYcw6Vi5AYJUW6y4pDejAqjhVrSPDQrA2tKmOPRr0faKEG9q0aJJrUZWgtjeUBAyN1nF+f1smgJ43OxbmQmbitrwPWxYRgmFcNm66LhXQTkfMoXcTH3tjw4rC5wjukoa63SwOl00+Mf8aYmprPkfEmvk12VxaIt+hEJ/s/SUq6C6ssK0FRf0rlyqBO2eCktVhDQx3ufh/xvYVDv8ybZLiuIxOQtWqyDA3aHGx3SMIQ4S6DjRkLPi4SyqBrhBRlIT38M5wOGbdvQFXkbFTDEWYDMCCnuDTfhbjNDkI+Lmwj2GOJ2O7hIzA2ji9tFvpNzWzAklmnzbhuC7/95EPouC1QtRmz6rALzbs/vs2MsgPOHAGkbQAABBBDAHx4GYyWqqp5CZORFNIDsqWozIr/5Erf8+BX4c+ZjA3dp9333xO6AVcckvz44uzeZ6QOZZGWOi0Hx5hZ42Dx0RQzH/D3bKGm7zRqPxacY4nK28V99Lv6m2AuH2QRuKw/hnlJkFz+Bl6c9gfz8bMhTQ49rZZu3bAjueW8fprAksMg78G3aBrSJWXhuOUOSJeTlIjtrHP6hvwsv1L7DPPDnO4E7dgChp+cLSAakYfJJaO/4kQZQabWHIJczKcLnAuQ7CwpKp4sP5iNd+Nj+NUaKclEQMhTikYxCGW43UPg5sOFpYPazwKib/E+UOb+btEXTHgyPGo3DrYxHQmHzQaSMPb8trBcyiDVEo7c9myAp+cQqWwJCYBVEFtClG837gRVLKKGumvQoVtnGUq1UlclKg7lE3smk+dAh6H5YSdedQhFuCJqEyd8cxpMX5SAyWAibw02JSzKJJ7A4XFhX1kEXLpuF8WlhVIE7JzeK3p8XHQRWohR7yjRQeyewZGI8TT4LX+n+C5bHDr75IGTy6cgQ8UCcHG0CDtSzbkP4hg+Axe9QwpZM1ne1avBFUxd2WizQcgDhISWg9LfrezgsKsjltJvB0jnI9Jq2zRbkhKEgQYZhCTIMjZMhpIeKviemZ0XS5VmPh/oLEvKWkLiHmjTd5CV532tLO+ji4bKQmiUHOy4IjWwXHF5+U2F34tNWJV0i+Fw8nxGHix31wC/3dP+vf8TfgUY2vHQTkGKLAy/mzFSNZwJChhEiiJC1O2t6+0iTcJ+lI+OpDULKSUKszsXr3PMT46OtdnoQxWPBbXTApbaCHybC47feAcnbYVgZ9R7MfD00Bi1YjjOzbYiKvAjK6E3o6PiZWpSUV/wFI4av6DcIUMKXYHHHFJiVOfT6+QggOxYyMR/XjU+mKlvi30wun1l89o+7Q6bFoXhzM9wuD205J961YbFMYaUnbGYHSre3UguFSx4eAVnU8d0X1Z0GaoWwr95PhOrJcctbk4lEWDdpa78AAiwVinXd60OGvI+I8DnHk0zj7wcIaUtw4L/9FnlfqGunXQTsVCnSFHY8tyAXQ+IG5qf53cFmamOSHCPFFjVD2MYKeJggO/574HHYkMnkwMQbidNEv1j6699RZaqCiCvC1ju3QsiZhFf2GbDi6IdgsdyISv0Vodq/olZhoR0Mb8GKv1r8z2h0urHaNRaLOHvRZuHinvd/Qh0rAclhYnBTgwEZQ5y+W9uBN/KSkBohwa2TUxAhEeDiglg8/mMxvjvo99yXiXlUebtwaN+FBkLc/lCQ1m1hY7N1gM3mw+0mFiDM+MxHoPaEssWI3949ApfDryzu8/njgnDVU4zymVgPqb89CmoiTTzRHW4cLFbDXby/z8cWzE7ExCX+MRaB1eSAeFgEZm6po6QtASmiXZkfiiKvVWyTgo/zpd+3t7RC1emAI54hqkmx9Z/FVmyfWAkwXDjGxx4v8BhMsAdg0XQ2IJTwsODuoVj5z4OwW12oK+rC/lX1GLv43HjSE+EEKTITAjmA/hEgbQMI4ATYVNFJB/xkEkfUNqFiPj2RksEiMYgn62QbmTCR62Q9WMQDJ1CdCiCAcwrS5qnTFdKl3CZFZakIj/z6Pb3taKUbrlRGpdAmrUGxnQxo2VgwJAYT0voeIlodLijk/gmsNiQN40u+gkyvw17pBJhMRxEcfGGEgRitXVAbQpFnqkNVYwjYHub4syVPiAq2FE9P7Jtg5SdIcduUNBi3twDWWNxhvRrvxHyO9xew4YoLx/uXX4onnSxMVFyB8bpiLFRuA6w6oOhLYPrfzsgigZC2BGr1znNK2vY1WNy8dRW+Dl9Ll+tjr8Zf2SMAVS3w6/1AIxNKQYnbzLlAsHcCFZYGBEUApi6gaR9Gjr0bn7QupzcVaY9gyXl7Rxc+2tt/gN3O+J5GRMyDJKjvwslJQYLgCMxKbFTb4PZyb7fFh0PkHfx77HZ0PPNM90M+yZ4HtSgEq4vbqTKP5Is8NDsTd09Pw+4aFVXdkkRy0rJKQFqvCfFHlu1Hu/Dh9aNgMdqxo93STdgSv9jFDxSgQxKCr9b+l25Lc+3HBwW3IcrlQhfupIo0A28sCmcvwZ56BzYX7UetwAOnjM9Im3ze09Ei8HuQtmI2G0OsHBQMS6AKWqKkjQ05dYsNcv/MKCld7pyaBp3ZgW3VXdhc0YmtR7ugNTOTaJbTg7YyFVCmogoqeaIUQclStPPhdSIEuuxOxNtVwLfLAOLTC+CHmAX4MPVKSDhsrDgwAw2WemS5UsA5TV/PMwFJnl9V3EbHbpUdva0lQsU8XD8+GdeNT0J4D1uc84mmMjX1nCQwk5ZUl7vbO5IbJoI4mI877rgUwjek+DX2Q4xrXIxSgwaJdyccp6A7FWRlPgOt9gCs1lZotftRXvEoxOJURITPoqpJH2x2Jdpav4fB0gxPshssHhtOcRlYhKEn6N4XWYiPWwYOx09O6vXF0OoOeW/13488RiiIpR6nxFuchFSeDgjp9dnueur9+fX+Jvo7jpQO3j7XUqmG3eLq5QcaHCbC5CszEZEoPWErc9nONuz9uY6uF21swrRrmFBQApPNibc3V+PjHfX0GOPD3LwoPDUjE3iH8fJk64KBoOOVtg6X44y9jU8HCYk3gy+IhEa9G+Fh0/s8DrnSZoGdMg2stOnAyP7tj26KC6ekrTtWhLh8fxv9yaC3OvDMr2Uw211IjJHCOURK96dLo0IH5sF9zPnfsKUZ5mgXqjSM721KSArEPGYffnjMndjftRVHNUeRGibDm0vzIBeGo0VjxtFOIzSHvGwjgCuEBvzLeRk2uEZitXscXOSg7vGgtssEj8YMTIsBOCys7NRg3fcVSJUzNgs8NhuXvLe7VyfE9KwIaodAioQ9/c2FbDZ4PeaXPd9vcPAQTJtaxuwn/XwOxId5/UelJyVsKbzPYdzfDu1PNUzaG6mV2t04bHb5rp7oob0KGN+9cADxOaEYGxGMYJUNercbGys68bfbJ6Lo+QP0fnWHuzBizuAGBZ6KNYJKntt9PZrLRrjdgwMOv6/u+JizS9qeT8hjgjDntnysfvcIbWI6uKaBdhzGZ4WecVGSeH4bNVYY1TZ6adDYYFRbYSSXZLvGhmnXZCFnwoUV8HyhIUDaBhBAP4TNi2sq8MWe/tNKT3SyIl5MlNylxC7/uPVjiV6yjTzmfPioBRDAHx1kUKBQrPVeY+EzXTYe++IJ8J0OWAUy1KfOp7e44cb2qINwKS+GkMfG3xYwqqG+QMIfHtlQiXFCLqY17UBO5Uo65fzhx/tx/9KnUK6uw7gLhLTdZ+RhbtceGkBmqBXROZ6bBayPn4gEaRDGpsj7fWzwrERYy5RwqqyYXzsGRaOOQjVFh7+lPoftX1Rj+nXZeCw1Bg/ZHkWGuRHrUy7HPVMf93FMpwW5fCIzcYeH+tqm41GcL9jcNrwX9x3gnS+lJ2YAO14Htr4MuHoEFOUsArjC3gf6xHFAxW80MXq4IAgsDwselgcNjmZ4XB6wvEpPHyyWFjQ1f0IJS7l8EuJir8T/IizUd4/5/lOS7z69J3FY4Sn9kT6LyyPEM/yRdDNJ6r4hzl+IUX32OWzVNXS9MzoFvyQxk66bJiZT/2ofBFwO9QskywuXenCwQY31ZZ2UxPVNpona1qS14Ze3iqDpYra5WR4kiFiQB3ERFTEMidJENBmaoNQdQTC0CAkeBhuycM9Xh7HX2AFXjBjuKCEQ3SOgi8yQWCywNTbEu9iYMTqBKmiJkjYjUjKggDT6kbjc6NBZ0aKxIEIq6PX+fN69xPqBFJaDRVwsHhZLF6K4LWrWUBXupgpFN9HJcnlgrtfThcNhgRslgjQlGFyRG3m/3gIYmPAUS/xYPJzyIH0PY4KDEKYUIQy54CdKz2l7JWlxJsTdJzsb0KFnyGQfksLEVFW7dER8v37F5wOENNrzM6OyJYibGAuQIhohnxv1CBrBqP5DIkRYdvd0CF8LhsPiQlO5Gps+r8Dsm3JhdVtpZwSPfWokHpcrRW7Oqyg8vIz+FonqloCQqT7S1uQwwWXrQF39q0APLqXL7ybTCzHRl/QibdXqXTT47EQgPt8kMX7EiC9xqiDE+zVjk6hNAlE/EhL0iYt6n9cJ6VxV9TTEoiSEho5DWNjUkz5vZ70ee3+pRUulhpLmCXlymrbuQ/6Uvq0keoL42xLig6jwK/d0YMyiVIikPHpM+cdv5WjX+ffRRLkY/1icR48/ZJ9o5bIApwdsTRDg5TE6TK3417qbUKutxaS4SXhx8os41wiW5tPlRKjc04lDVY8hLyoWuS4x+jMFmhkWjAQhH81WO7ZqjKg325AiPnkh5cdDLZSwJTCKaT8+XV8SdQy5ZDcDJBhM0L+1gqPTDP2GRuyQFgLxzLax0X5fXUKMPzvhWRzqPIRrcq6hViEESWFBdNFGTcChI28zn41Qgw+G34jKPBkyOw20s4EQu+S4SwpJ7A4L3HFigMeGPUKI6nYjvU9PkICxpxbm4srRpJDhP3YSYv/W0gbYPW78Ny+Fqmz7Ail+CIX9+8ySkDyigO1qNtDTDhk7w3tJVskfMo4kq2S/N+xoga6HdZQlTgJbqBA55MzrfYz/sf718AT/uYds2/ZVFfXWJYFb7RFCTMuMwK+VnfR7/FtFE/LD+RAo7fR3R+5HgrCIf7LBUEoD7+Ljr8XZhnHbNqjlo7qvOwRm2GKkKFEzHVTJXAliFFVAUHS/pPipYv9vdZBFi5FaEAHuOQy97A9JeWGYuDQDO7+vxoi5iYjN6G1V0hfsxGLES76S831Cdu/5xrfPH4Cqtfd+3hfIcwRwYgRI2wACOAZHOw2476vDqOo8PvxjICAnLOKPR5ZToXzJOcCn5s2MklB/NbLkxYac0wTjAAL4o4GoXs1mRtHSJrkEUT/8hNwGhqipzb8aHjCT2bLonWg1jKHr90xLR5ysf49RQnQmhomxV21GS2w6ppYz24UVJizp+B2rY6djXDIuCPym0OFhxUZ0KYQQmXhwcPkoSbJDiSm4Z0T8CYtBxLs1dEkmuj4spm3ckqJFSIuJxO51TJqsRC7EDYtSsGfbLswa/hF9bkmbCjfHn34SMZ8fRhOCmQF5OZ1UC/hnvynOZKqlimwSQCYLGUFTxD8s/hCtllZ6+8iQLFyy5S2ggxmkU8gSgUVvAX2lBRN/X0LaEp/T9iN4lvsIYqskiHFEwNllpm30PeFymdDS8jldJ8TG/yppm5HxN8TGXgWVaivdD06Gz8s+p6TUrMRZiAryWldUrQHLpqOrxUGToOExn/V1MWEI5TFDW3tLC5Tvv0/XPWw2ns++mKZBE0Lz/pn9q3tJp8zY1DC6PLUwB2Vtekq0jI0Kxo+vFVLfN3o/ARsf881QczyIe38X5o+Oxwj5TDQZPoUHHqxvWI/x4Zfhpk8PoEVngXNcBE0474lbWn7FZdq9aJn1EWZNiKIJ4idCs9pMfbgJkdyqsdBLovoi64So9In27piSehx5teTfu7sVteSQIBUy5K1UwFySwnF+XAj+MicLnQYrtlQqqK0AUTESAhdtZhjazMhlNcDOPwohC9Dyo1E59m2MsAN79VYMd2vg5OnBdQQft/+fLbTrLPh0VwO+3tdEw4d6ghDf5LOYkxd9QXZAHT3QST0ECSKTpEiaEY/2HS2UALE39h6DhsdLsPDuYfj17SKqlKs+0AmhhIufo/4DnU2H16e9jhDBwNrLfQgNHYPkpLvQ0Mj8Tii8hESNpgbL1izDnPgJyHWwEMU7kbau+8E4VbjdVrjcx0/Yi0vuhtXaRpX4Qd1LJvWl7Uloke+XhHcRYoxc3jE1DfIe/p9mcz26utbTdZfbekLSlpAL+36tQ/0Rv52GWW9H1d6OARG1PSEQ8yhxW7SxmYaX7VhTh68temytYroMfH6td01Nw13T0rrH+YT44MqEcCotQJcACfE3QiCIBE+YgsLyv8LtcaNGy4xvLjQQgq5kWysl3ojKmPh0iiS9j3k+EF9s4sdKbBIIPm9T4pn0OPocpNOhLyU8ue2Lvf6ZVXs0c5+cICFyJceM54q/AdY/yRRcJz8CRPjV4z7YmxhrhSNBjMqWYEwMM0b0IS88jy59QRgU7ydWRSpwCrswZWgk5s7wn1+cLjf1qV3VosaLWsYGQ5wohUdho7YePcecr14+DAny4200/lHbim0a5nhwbXEd1ozMOC3vU/KY5KHhdDkRyOds2NTUi7CVTIlD3PwUZJzG/03IlaO+RAWnzQVtlxVCrblbQb6htAPGaDGmen9yRG07bGYCikvuhFq9g24LD595QjL6TOG2WqE7UAzd6MvpdSXbjZvgxmJRGVyE+CcqW1U78NsDwAN+5e2ZwKSz4eDaRlqkCYuT4Kqneu935wtDZ8TTc1FMup+w1Xaa0VmvYxSyPnWsVylLVLQ+RCYHI+Hx3qQtOUedCAIxF5JQAb0M4MQIfEIBBNDjJLViXxOeX1XenbhMfM/+vjAXy8YkUrN6rcUOjdkBrdlOJz/00uLotU5u13nXCXFLK5AD+v/wPo+DTsqIyseXAp0fF9xN4o5ICh3U9q8AAvijw6+yBba0jMEDvz1P19WyTHR6VSEWrgG7g1vgVoxGglxEg2dOBEJ0Xj4yHq9tOIoWSQQ6w6MRpeyAQ8/DrMotuCXrClwIsLvdKG8uQ7hdg6KGYDjD8lGaexM8nGZ8YQ1D5tCTTzQFqSHgj4nGsv01aHKyEV+vxjIXMxk6uLYB4qKNePirNyC55Cp8Pfdi/LO+A4sjQxFO1B5eleDpWCQYjUcRKhtNA6nOBWmr0x9GXf2bdD0z4ynYJJPwaemn9DoXLDxdvh0su5c8IO264+5mbCD4/ZBPhLT1oWkP5uS9DFuQDnwSziE9fqJK0pB98NkD/K8iKCiVLieDw+3ARyUfUVLqncPvYMeVO5i24CPfdN/nzWRGSU/EabcnRHSfzzuefRYeK6Nm25ozFTUyZoL9xPxsSlgOdJJLiMx4Lg+/vHm4Ww0iDROiMkMAdSXJwQZabQ78d2c9WLwIBMeMxOjw2TAqRuGy73bBYHPBMSS0m7ANYrGwMDwETzR8iOja9+i2kS3/gSHlKVR26CkBS9SypOOHEFA9QdqCN1We3NuypUerre/zIInqPrh7FJe7ZeZezM6NoupFspDX8PmeBry0xt8GXO5JxiX2Z/EW7108argD5V/W0kNAwdhmZLrfgzp1EiKrlmFtpw7Vv5VRMkrI5UDAY0PIZUNArtN13zZyyaHjLXpfHpsqn+l9eBzqK9wXQVHRrsdHO+rwa1FbrxZzglk5UbhjaipGkQTwcxzscirQKsz0syOH0fGXpoEj5FEfYEebCY4OExyk+BPhJ3GI8mnubflY+0EJPUftCPkVGxo30NuWrV6Gd2a+c8oBZampDyM8fDocDlIE8UAiYcj+FRUrYHFa8EvDJiTkXo3ZyZPpdlKQ8PdGe/zbqHq3t7o7PGIWhKJ45g32gMfjgNncAJOpGkZTdS87Bh/0+iPUp9Ng6FFEowWvIK8vOUPkkjb9q0Yn0M44otz7ZGc9/jI36xhlPwNSqOsLui4LDqyqR9X+jh7vDQiOEGHsohSkj/IWi04RhHw6Qnzx3R6UbmvFrmBrN689JTOCBkwl9+GpzJEJGNLW7kF6/ONgez2rE6XvoEHfgHpdPSVvidf3hQSilOwuQiQHUwsJCpcT1Jz7GCyLCcOrDR2wuT34pl2N2Wwh3tpwFJ16KzY+PJX60fbErhoV6rqYY25cjAS1EuZzuexYlS1B0VeAwwwUfwuMv7fP10vU7ARHxEx4Igm5HBE54qTvkxxPyXGFkOlcbjC4rlBwrcxr0HxfBf4DI8Ehx/vOcnBNXUhNnYr7woPQXs3GrLBgTJNL4VnsQaPaTH2NQ0R8Str2VWD/qk2Fj1oYRpOEFP5feu+ixdkA8dQ27mnrvh48OwnSGb3VvwMFeQxpeyck4IaPy6BoNCDBwYLYDZjZAFtpQ/nIEEwtZc5DZV9tx9DJl1NFt4+0JceCs0nasgQCcP/vPWAtY1NTz2OIWmd4PXym0hMsViDv0kH7n5V72ulxgSBl2Ply8u37++pJ2BI0lCix64eTF4oIkXssolJC6H4tCRVScpYIQeil9zqfWAIFMCACn1bCAAEAAElEQVQEPqkAAiDkjsmOx1YWUy87H7KipHj76uHdqaXEzoAsSSdysj8GpO2QtOwRIlbjI3J964TcpSSvlwCm5K8dXQZbd+sPAanEFjZp6fLRDqbqSUinkYl+Epe81oG2UAYQwJ8Nii4mHKPcnYcFHy6ntghkKFTbY4C1N3E1DGomfOypBbkDUq8vGRmP1zcepfPNX/KCcfu2DqrU66pzI1LVjBqzFeni81tA2a4xopgfi8m5n+Lzb/6C8pwxNDgNnlRIoiUIixyY2i38ohTMOtKCT2xmtHDdqI7iIr3DSSewexqiMIYfjFt//Q5VSWkozRmCAzoj5mv2A3veAZZ9B/D6Vy33haTEW5GSfA84nFN73JnAavGHfHA9UXhyzz/g9DBE1i0aLVJ9hG1kHhMWFc+03PeL6KEAUXg6TNTXVrw0EuLh/fvy8XgysFg8SliQpOcATo4DHQcoYUswOW4yQ9gaFfDUbKTch54dgd/DmUk28TSMEzLEqGH97zBtZyZ8Npkc7ybPpOvknHnp8FNTzPm8LX2ELQkUuvjBAhjZQNJ3HmxW6HHQaKGh2h6HHLqmy7GxCdgIZpLDghupbBvyZFJcEp+ADBYXWysUWKvLxXXggEtSh3a9hce3eKgXog9iPge3T0ntNVGOC+3790KUhaRzgCzxoSIMT+xNYhBSk1gDED9IshACV28h68xlT9KTKG59IMfJ9Ijjw33qPLFYZH/B71TqAapLTfh3TBzmeTSYwdXhm0YTihv9Y5nTBeExhL1IXQ7dRrwie4IUuC8bEUdtEI61hrhQMXZRKjJGRaG2UIF4b1upICWEkrak8MPqw8ohZWg4Zl6fTSe9XaEy/L5lFdRWNbXluHb1tXh12quYEDtwn3Cyf4WE9CaqNFYNVtWtousSngTXFjyOIK+a/VRAVLID8aymbdrHhBWy2YJuG5Xet5koiUMWAj5PjjunzqfWGA6XBysPFGNxxg6EybLp/7aY/aStWJR8vNptTQPKd7bRYDEfgkL4GLUgBTkTY84oHOegQo+6IA9SDIDQw8IQOwdtETz836JczMuP7pcEI6StD06tDXwvaZsmS6OkrdVlRauhFQnBCTgX0GoP0s+bhLwSpXN/IMS0D1SZrK4H9n3AdKTcsx8Q9P5dkjb/xZEyfN+hgdbpwtNry1HbrO8OGyOFo574Yk+D//nzI9DJccLoch9P2iqrgRbGJxVR+UDM0H5JWyVXixYBM/cbEjGk28+2PxQpivDP/f/EK1NfQbw0HlMmF9Ltqi/KYYUabpMT6m9LEC59HazKVUBoMnDvIbA4XLyU6VfmEn/btAgJXfrDPq0Rjx31j1tezozHuD7C1sjvp6z8YUoiS6X5iI5ahDMBR8pH+M1D0PVRCbXQkk469XMmTCpAeRRQ1wLyVMiSJuCyR0fS4sihdY0Ya+PBEcTGxkmhsAk54Hh0EJqMkHUVwrAjBsFD/aGjOn0RIiPn4WyB/A7bdOTc6iVtuW7wOSw0eJiCEdfjwWhSAO6r4+o0QL6vit2Mwpwge/zZI6QHA+RccyyI531P8pVckmL2sRh/Se/CcwCnjwBpG8D/PHbXKvHQt0Xo1Pvbs24Yn0RbC8/UloC04zE+tnwk+3pBTgK324OaLiMONWroUtioQZ2y9+SkWW2hy89Fbd0+SCSghBC5hMQlEzZitRBAAH92EJUOUeuQ6ZZ+ayZmNaym2/nBbjRmfgiz+jrwXAKUcHjwOGVU3UKUZANBrEyESenh2F+lRKd4GfaNsiBcVYa42t+wpGUdflXMx8PJ0Tif+KVTRS9D1CVoiAqCMoxRFgtYQOrsvlVFfYEt5OLB64djyw+HUa8x4yeLAY/EiMFu98DBl6Is5yYMP/I2nvv0HYR+8x1S674D1v6VefDaRxmS8xRACMxzDYuluXt91da9OOwpouuJkjjc1mUDOBZgyqPAxAcAbt8tnb1AlEPzXgKkMUDCyVvbiN8csYYg6jG7/fwngZ9LeDxuWlyJCJ8N9il4b/pUhASzk2YzK8XfgeVtWfwuag48XrXZ3Ql+wlw8cgSCFy6EftUqvJ27GGYeCe8C9Y08HbVQ/tR4WIwO1BZ20dAx4vdHps633zoSd7BYtOBK/GCJjQLxhu1Jgs5M3I1lUd9BaI7FxIgd2FKlwPOrK0hzOuo51+JZHmOZ8QrvP6ixx6LKw/xuSfGWFHRDe7R6T8uKoBYKPnKWLOQ4Je7H49AHolj759Kh/U4giQUCJXQtjuOIYdKu+8jEUHQ4JNDbXLQQTe5HXpvSZIPJ5qIF6qDgYrRyW/ExWpHJ70Sdc3COjeSjJJ8FU8xm7B16gox1rhuXhOsnJP0hu5BIAIx8QUr3denUeFhrtJAvzQQ3pG+Pz6xxzCQ/DqH4esHXuG/zfTQsyeAw4O6Nd+OxMY/h6uyrT/s1/XD0B9i8nt5zLZNgXdkM9vBICDPPjnL52OfkcASYMH4zXC4LTOZamIzMed6nzLVa/cdyorYNDhZh6ch4fL2/GRHCOjQ3fAj/PVj9Km0L1zf2IhoFQVyMnJuMIdPiwD0D7+M2rQXP/laOdWUdCAcLKWD2y+kQ4cYHx0MqPvH5hduDtHVpbUCspJu03dS0ia4Ti4RzRdq2tn2Djo6fUF3zIkYM/5J6Ax8Lq9GBmkPMeY20OmeMigTW3g8cXsHcgQSYjr3juMfdFBtOSVsCe3ow4CVt395UjSUj4rvnYcQKhgRXEUQFC/DutGwajnhQZ+ou1vVS2fpQQDybj4fLaKde/sXBPawRok98Hv+94Xf8ZdtfqLL8H3v+gQ9nf9i974YuzUTnW4VwG+zgJ8iBTq+Pp6YBKPkeKDi13yPx+r25tAEOb0Hj1vhwXBPbt2rI6dSis/NXui4PnXjGpC0BP06C6L+OAifoJOdrEtpKyFlClPe8tDBWEAxYwI2rwUmeiHEXpyGBdAx8UQ6BGyh1s9BBgr+zdHj2w3/Se+tXARGTn+x+tK9Ac7ZAzoGNpUwhnUg+iHBhVCpQbmyi24babAgCG/B2G5wp2mu00CkYZTEJ+yKe5RcyiF3CpMszIJH7SVoxKSpegJZDf2YESNsA/mdBQjve2HAU/95W2925RZKFX1k6DLMGSOqcDZA2Al/K89VjEruVwIS8PdTEELlHmrXdFg4EJruLtg2RxQefL+4IryI3JTzogm4TDCCA04FCwahs6zuysPDn3+k6+TnHjlFhkVuNV5M/RRNHhEfT3sZH+5R4emHuKf0OrhiVgMIqJcZbwmGSsGDli7Epcw2WmvZhpOz8EgQ2txtrlYwKsT2kCMvnjsKUBua0niDhQpx3ai1XwWkyvLh0KK7+aC8dY3/hUeAKPh9iewi0oZmoT74IqQ2rwXriUbhf+zvYRJFC2g8LvwASJ5zypORcw+Kd6NvMbnzsXAtfmtrfx/wfBCMcgCSqT9+7E2LkDb2u7mvfh91tu1GuKse/Z/2berH2hIAf6SVt1fB4XGCx/jf8ypXKjSgtvQ9CYRy1poiI8BKwJ4DT7cTmps10XcgR0vAdAs+Rr7ppmE/jGfXNTHkwcnp4GnIjIhD36iv4NHYcNncyBAixOSJWB6eLURclo2B2Yq9AIt+xhBRmFxfEYl+9qhdhS9Q6U5PJlBSwO1R0chjfw0v7C9ccDGPXYwlnO8QsG76UvI3vhn+B8IhoSsiKBb33jxnZUXQZTJD3QMK5yBLVI63ch0yJDZk1dwBJE4ClbwG84+9TXfsB/rr/AGrt3qAeXhK+uW80HafYHC56SawWrE4XbA7fOrnN7d/mdNHtvscQItlGtzH39z2H75KQy9ePS8LloxJO6gX8RwInWICoB0YcNyF2211gcdnHbY+VxGL5/OW4+6cHcMiyl3owvrjvRRpYRcjbUw0oI5Yk31Qy9iNER72gYQIsji44uywQZfUfank2QDox+gq/crnMMJlqKIlLSFuCu6am47uDLYiT+BVsDHy/RzZExKqhB0bOS6YqW/IbGDYrAQWzEiEQnd6+RAQXhU0arCpupypRX8eckuOBKpiNML0bbIsLbSVqZI09cUGjl9JWY6UWQjabAilSv+KxVleL6WC6h84m3G4bPX7T18WRIDh4eJ/3I8pB4t1LkD0hhiG9x93jJ233vg+MvpVI9Ho9bniwGEOlIhQbLKjmezAlIwz7q1VUSEOUtbdPYZR6X+5t7PbsXjYmiRaiyJ49WX5M0JjbxVgiEJDz6xDGp/RY2JuYvveiIMYagWBsjD+ErC8QBTvxVe8wdWBv+178XPMzLs1gOroIuRl2VRYN8hKS9vKGR4H6rcwDd7wKDL3iuPdO7K347OOV3CanCzcU10HlYDqBpoRK8Exa/2pXcw81uUjcW508EHgcbhj3tUMyIbbX8aWbsLXqAGUNE+x2bIH6swXdoZT0uYgdkVgEuYCPYTa7f2vJd0AyCaEF4nLD0JEohbPJgNmdTixP4WP30Hw4QmTg6bQwbt6CGPtzdLxgtbZCry+B2+0E+5jx1GBB026GRc981k1cN1wsYHJqAq4Kewi7dzzPvI+4kYBocMQG5bv8n1fuxAtbZUsQHC6iVi8BnF/8eUY5AQRwCmhUmXD/N0WU/PRhYnoYXr+ioM9Jy/kGaX0kRLKPTCaBC8TP7ZCPyG3QHJeWTFJLyUKUBz5C2menQBS5Q+Nl1DOO+GZxw0SBilkAf0iQYCmCTaLZYOUewsTiQ5DlOiAOd2CYlY1/Nf0F2jFxyJ05DNdPcx/nkXYyEFXuk2IumsxuJDs5cPHDUZKRCh6rDP9q3wHIzlzRcLrYpjbA7HSB5bGCb6tGpvLu7tsUaUFgcU79Nz0+LYwqln441IIuqwRHM1UYWioBGxw0JM2DTFsD+ZFiKD75CdEXvwH85FXOrHoIiBkGROWe8v8k5CWZlPLPsq+tS1uPIRV6vM6WwhTEqBzmy2ZhfEIPb9ozxPdHv6cBVASVzWXITxrW63a+IMLrkeaG3a6i7Yx/dhCisr6BCToiEzAWa2BDT5LYTdq+CSbHT2baVjtKwOoso9s0rCxEeBJRC+DepOM/R0L4lUpiAYUaMjGPBmwNFM3lakpA9AxsIcROT8K2J4j69O4vC7Gj2pumwrLj0klqGLh74RCoyNdNyQ/S2k2Uq29cOQzxoWKqmI0SzQA+mw+0FyHc0Ya71S8D8747boJ/XuC0A99eB+iagOImhrAlwXzHwONSod3JHFvlkCAmPRHyMyDI/8wgwVZEkZg3ORYcbt/no2PHY8T7UP1lBcBlQ35FFtg9yHwa/rSuA6M2XwlPihSF0Yw6/duqb9Gob8SrU189pYCyDQ0boLAwislJgrGIcTC/AXHBhXOsIkGOwcFD6eIDCQ69pCAOOyoKoLdLcUm+DRnyLqrMdTjUELiWonynslegGFHME4/gqORgiPrwIT8ZyGdf3KLDb0fasLqkHe263uPwcAkff7soB2OCxPjlDaaz4/CGJmSOiTph8ZjToyDcYvoEbTs+o+sRSU93bz9XYWRq9W44nQzBGRE+k6qgjwX17N3RwxphsvczJuMB0lJeu5lRnFauBnIX93os+RxuigvHQ5XNSBbxsWBiFA7UkAIX8P7WWipeIYFt3x5g5jLE4/rqMScgkOq3AXrva8mYA0giT+hnW+z1sxVwBBga0Xc3gg8SvgRPjXsK92y6h15/5eArtJgYIWa81AWpPUg9QlAmTQQadwGqGqDsJ2DIUrg8Hqzu0uHLNhVV7H5XkN7rf7g9HtxX0YRyE7MvpYj4+E9eMn3f/aG3b/OpkbZumwuqL8pgq9XA1VqHkJF2sLpVs17lrJEpPCJhHHALM77pRnhGN2m7TyjA26EyFAsFGAoBVsjGgXV4OXD1t7AmTwK/hw+zZEQktE0GzOpwUNLWxeHi8NiJGPP7anhsNhg2bERwxjA6ZnC7LbRAI5X2DtccDOjXrIG7uQW6CTbsrc6B0RusNTM7GTkdxbi0yyuGGj441gg2ixO1PRTpqQWnH+obwP8WAqRtAP9z+OlwC576uQxGb8owORE+MieLJtAeawJPBmQmcw1Ewvhz6r14MpABzLAEGV1uRkp3O1a3pUKThiZek5ZFH0hA2sYKBV3oc7BYeFUoxQgLYIkSIf72oRD1aMMcDNjMZiibGtDVWI+upnpEp2ViyIw5g/o/AvjfBUmWJmobgvvi96H01bdQ9eHzWOBhWuPM7qnw8OKQNWs0vX6qhC0Bac27ZHgcDm1toaQtQbpyJDYk16Npz/NIJMnE5wlOmxlH9i7F1tBRMAUlw2RkjgVdbDdGTe6tKDoVPHlRDjZXdEJtdmBDSxiis+sQXZlBw7nKcm/EmIMvQfPV12APeQmdGZdjSPX3gNMCfH8DcNuW43zr+gNpfS2veJROCslgfMRwryLnNNFld0DAZiOYewzZ5fHAfehjjNhdDZ7Lg1t4ejSzZagX8PHY7L9jMJFrSYVvSnOgfPfxpO0xYWT/C6QtCRPxhQlJJLkIC5t2ytYIc5K85w1hCGwx14Hb9hvgmIkVYZFoGRqKLLEQHpcLboMBHBkzcSZhVl/fNg6/FbdTFVxPm4ETof5IF9Z9VMqoDO8ZioScE6sL23UW3PHJASR1WvE5gvAy24bp82xY7g29Y4VGItn7kyBEvVichEuHH/P7vHIF8OFUwKwCajYCW14AZvoJmvMCwpqseQRo2s1cl0QDUx/r864KcwfMbmb8lBGVDvm8zHP5Sv9QOLi6HiXbWnFkUxPm3JKPqJTgkz5Gt64B1iqmhbzrgyMIuyEXXC+xR74mZbMRLLAxpn4hwp0x2JzwFfXrJmrAdw+/iyfH+VuNTwYSQObDxW1TmBUWIB524ZML90xPo2N8RVsEqrR8fLtkOCwKHWr3t8OosUMgrkXG6KheatrkIadWLCTzgvJ2PVXUri5uR5PafNx9iL/yVWMS6NyC2HeQx5BgLk2HiR5PSEGIewL7NX6CFJH3D6c2Ce2aNrR5O/gjeMQKlUPV1ERJfa6DXomnbV9orlBD38UUQhNyQqnvdzfG38OQtgR73juOtCW4JDIUkXwepsulYLNYKCqIw0+HW6kFC8nyyI0JhsrEqDan5UZC5PX47RMDsEYgsDXpYWc5MMKUg9LQRsQGx1Li9mSYEj8FC1MXUs9ng92A/9v5F9weJYDN1o7EhJsQE3NZjzv/FVi+i1nf/iqQdxklqV+sa0ODhXk/DRYbkkX+//tVuxprvB1UUg4bXwxJRSjvxHSN2cK08ROIT0baOm0AUayyOXATi5vPysBr/R5hgo/ArrABxLmnP6iqj9+WvxRHItLwjqUW+4x+z+Fi2HBgzPWInPYXfFX5FVatfBavT38d42IYaw1Rfjg0v9TAo7cjpNQBEzxYXjCGkrYmcRSqvtqM0OfyADDCDL2+6KyQtppvvoV5/34QvfSqOY+jTRwOmYCDbJJns8u73xIMkp9t9YFOOB2MIj1zdNQZ2bAE8L+FAGkbwP8MiBLm6V/K6EDAh6QwMd6+ajglP/tCY9OHqK39F51oD8l/FzLZKFyoIL52ZFk0jAkJMNudVAHg88UlilwyAPLhbo+AErYEok4L1j+/C79nSzEjPxozsiOpuneg8Ljd0Co6oGxsgKKxHsqmekrU6hT+YDcCk1Z7HGlbc3AfIpNTEBz+5ycvAhhckECMyZP2oKtrA3h8OcZLpfhOPwrfusZikvRjtLCWUG86EqpwJrh8ZAK+2d0Ip8UDLlhIVw7HnqSfsF7fhttI25jw/CjKLtLsgcugwcKOLdgacg3qvNvbRB6MyT393xMhtx6KDcNTNYy6YoM6DvPDGxGuTIKdL4Y+OAURyiNo+7//w0MP/x1fyo4gVutVZax6ELjsIyKfOen/YbOF0OuLqR+bVnuItrwSBdWpYoNSh7cbFTigZ7y/w3lcpIkFSBULMNzRgYv2Po3w1j3EkYwi2c3Cm02XQXXVIoSJTyFZsj9oGoH67UDTHoxMuAzwHvaK1Mf7sAl6kLak3VUqJZOSPzfqG97rXk9OvntA9iQutwsbG5mWXDKRJkpbClkiNIYb4bQtBdguxAwJR7b3XKX+6mso338fkY89ipCLL6b/hyyLvefEgU6oNnxa7k119tCE5xORtqTj5aZPD2Cs3oW/ginsvpURi5RJ2VjV9iY0Ng0OaZVYLAbEbMDhIKqdPibVsgTg8s+ALy5hWlB3vMYo13MvxnnDvv8w1icEhMy46isguO/Psq5He2xGaICw7Q+6LjPKdjBZBGaDo8/glr5A2q1N+9vhsbrgaDdB8W4Rwq7LhSApmIoN5tyah9/eLkJ7jQ6pzSMR5o7C2vSPEC4Ox4MjHxzw6zvSdQQlSqbAkinJQG4Fs68K0mXgBA9uUf9sQO5h49owOQwNRiRq2Vj3TnGv221mJ5rKVDT87VRR3WmgilpC1h6bM+ETgEzOCMfCobGYnRfVK9CPHIdm3ZhDlb2CExGOXhAlNd/rYyuw+F+rx6lGYnAi6nX1dCHHSc5ZVOS73XZ0KZniGYcTBLm8b0/P0u09A8iOKUilzQQicoCuCqB5L9ByEIjvPZcScdiYGeYvXjw4K4N+1sRq5uMdddj+6HR8d8d4fL6nAZoYIYbsKsWc8BA8nx6HSEGPz5OMxyqYAD2IQoHMuX2+Xo/LDXuzEXwPDw/Zb0bM0tGwkMLzAPHo6EepDRLpBNnRXog0uw0FYhdM5rpe6mNjawb47mwI2JXM+69cBXbuYlwTE4YX6phjJlHcPpnmP65eER2KQr0J37Sr8UFeMjKCTn6MsFga+vVt7obNAOz9gAmPvWktXEEZUH5cSo8nHLYEbJY/16UXxOFAeCajqCULsZ/w7nNV6iq8qz2IrV1eGwgv0mXpuHf4vRgdPRq/N/6Oryu/pttXHl3ZTdpyJHzw00PxVHUzbK0eksuG+nEp2DP+GVgEEZCry+H53I4or5OSTn8EcXGDa8HlMhhgLmSC5FrlkWgTMePBcQIhWKQaVruFuaMgmLFHGARU7GKO/wQ5Ewc+NgkggABpG8D/BA43afDAN0W9KuIkZfjZi/Mh6ccLjVTGdbrCbkVU4eFrkJHxd8THXfuH8IYlwSTjUsPo4ns/ZKBJSFz3vg5Mau7dxjXKw4WuQo9HidE/CxiVJKet4cSSgfjh+mC3mMEX9SZWtnzxEQ6v/e2kr4mQuT1Bnmv12/+C025H0pACSuimjRoHLi8QohbAyUGUdRwLr3sgV/Lp11DZmba5daZb8bJYhktUavxNH43IM7A9yY8LxqMLcxBapEdHmRoipxRjajNhbyjFzwfWYMjIS5EmPve2Kp6S76CtF6OzKAStEyYCfEIzeZA3IvKMj1FXX56PX/6pxEG3Ex12Flh50eiw12NX0kp4tA2YpQQEdjvu++ZzXH7vU9hefBc4diMTuEFaAkfddNL/QV5jmHwyWtu+hsdjh0azD+Hhp+7Rd0Bn6iZsCZQOJzRaK0aWfo/LGz6ByO3zVQPaIwXo4lyKWOGlyB6ahwqjBWIOG/FCPjin+5kRcmsvQ0zmpM2F0C2AlW1Dsb2cHnd7fhf8Hspacl75s0Oj2Q+d7iBdF4vTERnR9yT6WBQqCqGyMm2JE2Mn9kquj7x7GCylKjjVVjrxI3B0dqLrzTfhNpnQ/vgTEGZlQZhzaqqc8l1t2LKistsCk7Qwz7yh/+fYfrSLWiKQrh3ipn03S4ggDwviWh3YZg/mp8ynCiOHx40jZg7GS1xUadsvUqYAc54H1j8BBMdTgvq8gSjjyOvw4eJ3gfj+J62NJCnciyz5n78QcbrY92s9VX0TFMxMoCTeQEACwCLvLoDq8zIanuQ2OtD1YTFCl2QgaEQUte246K6h+Pn1QqhaTQhpjcc1nMdp63/P387JsKLcr7Jd4pxL1eYE4uEXdlHdYXfhm+f2U7UnoTijfIblPZA0JAxjF6ciIuEYD9QToF5pwiovUVvVyVgE9ARpzpuQRojaGMzNiz6hmj80euDfQ08I+H7S1m5TUEKMELYkKK7F2IKk4FP3MB0oNJo9cDoZG4Hw8BngcI4f55BznEQuBI8QzSIukoceUwgl5z+itv31Xub6nneZAtUJkBQWRJXKK/Y20cwOYpPw1MJc5CWGYMiuMlhdHmoPdVxXTdnPTNcPAfGy5fatnPXYXAgaFUUtEngxzPci4g68mzJUGIonxj6Bv25jwlh/0PCRIbDQVn4fbLVa6NbUQ8i+Emzuc9A7hND/9Ab0LVyMFQjBZcnh9ADfdKjxaEoM9n+/AsrmJgRHROKa8AhcJJEhX6eAhQ8IJdITjuksPT1tjyVt7SZg/4fArre7w8FcjeXo2mGhPtX0uigFHkkqWNHZXnKWkLSZQFg6ID6+aNmga8D7Re9jXcM6Oub0IUGagHsK7sG85HndxYQZCTMgF8opwU1C9DQWNUJFzHNKCiIxvboD38EOlodw7jZYRFJqJ6SRZSG2bDs8MzlgsV3QaRl7kcGEaddukuJG1/cn5XeLDeKT2rCzdDlGWjVMKZacm0nw7BlC12WBopE5joQnSBCROPBjUQABBEjbAP7UIPYAH2yrpYFjvnAQQtK+cGk+Li7o39SdgJwghw55H7t2T6HBMR6PE0ePPgODvhhZWc/1OXi5kEHeT1qEBLEqO1QtfsJWmSNDSKUWPA8wEzwY4MGrHiv216tQVV2Pb75XIoNnQBpbD7FJAau6C3d9uALiEL86OTz++EEjTyBEeGISIpJSEJGYQi/DE5N73adqz044bUx1t7H4MF3I4CRn0jTkT5+NyOTUs/qZBPDHhuqzz6D89DPEPfsPcEdPwt5D/n3yh6xvwFbNxy8lwK1T086ItCW/nVsnp6JO0oW1Zcygd27pSORVluLxUVWYEKfBY6nnOEzArIb76Eao60KhC06FzesHS0IUHlzABLOcCUhq+bOzs3DV+nJcAz6WNUuw+3odfj7UjE9ns5HeCciCkvCPGx9AZ1AEXs5/Ek8WekmetY8BscOB2IKT/h95GEPaEqjUO05K2jZabJByOZD3aBe8KT4c7zcrkCoSIozPAa+zBE+WvoRhRn/ASJEoGitSL8b8sJWIKk9AyGWMlcRfq5pxUG+mdjFJIj6j0BUJqUo3VSSg1yP53BOT4Enju0lbfvtB5LjScJhdDiVbgzZdC+KIitILEpoTGXkR9e8Vi//8x7eGXirbu8Dy+tmdkjVCcu/ujNc7VRiaKsKs0X4yo/PFlyhhS9A6aS66OOHwNnYPCMVbmrHjW3/rZ+7kWEy7Oqtfr3cSNPS3H0u6xxWZCTIEx0XCtbcDZCZu2teBxcMWU9KW4ICZe3LSlmDcXYDLDgy/Fgg6ux7P/YIEznx/I5GKMdcnPcSE6JwATWY/oZUpzz7br/APia4mA1VyEwglPAyffWqkPC9SjMh7CqD6sgK2Wh3g8kDz3VE4O80InpsMYRAPi+4rwMpXDsGgssLVJMLhz5VIuD++uwWXBCgR3+27ht11XEgiwfDI4VRpS1SH46uYggWLx4boFEMtzxaIelHRZIDN5EBinp8cJKT1sX7TJpYHDVwXRoyNwbLFWQMmyJvVZupPS5SexGbsWJBTwZhkORYOi8X8/GiES07eUn8mEBAfdC9s9k5cmXUHtYtJk6UhTnLiecyZonMA1gjk3DjlykyMuzgV2k4z2H3ZUJHjx6ZnAZMCKP+F6U4J7Z9srjZZMXdsAvXWJ0GEy/c24u5padhmMsPsYo5LCyNCIDz2fxHf87AMpo1/WP+qTLaYh9BLGC9Zpqvi1DE3aS7WJKzBluYtMLpZ+FnLx3WOZhxq+Bn6LgX0SgXU6mYYDSrY3UwAF0Xx+4jNzMHcK++m3rZddic2qHTQlRaj7Whvb4IjPeZT0vAISujmTpmBnIlTe93PZGJIW4Eg2m/l57AABz8Bdr4BmPwFYg+LDcOGajgNTBgeJ4SP0FsXgxVx1YDf+8v7X8autl3+fUMcSY8pF6dffFzwIY/Dw+KUi/BZxQoacvjrhkdww+JP6W2ivDDMWMnDd97CeoGZhZzhEag4ZICHzQHPZoZVGw8OzwJzexTaIzWISQvFYMG4bRsaEmfDyRWjKi0PbpkQIpUFFUFr8e3hIvBSkrE+dDIiUgYn8C8kQoRrnxtHQ/tOt4gTwP8uAqRtAH9adOiseOjbIuyp80+SChJk1A6BBBYMBCTZe8L4baitewVNTf+l29o7foTRdBRDh/ybtmf/0SBIlIKfFAx7gx7SmYmIn50ES6UanZ8dQb2+GDGOLtzo6oTA3AW+h6lA+uCjel9csRlTp0/EpPRwmjgdnZ6J9NHjEJ6YgkhCziYlQxYZDVYfqag9kTxsBCZccQ3Ktm7stlKwGg04vO43ukQmpyF/+ixkT5oGkSRQkQzAD1tdHTrfehtsux3N99yL2ns+hd3JTJ6qIvahlc2G25JIQyzOJDG+J5Lyw8AXcWC3uKCMGAbXUR7m7ivBV+O1eDQl+pwp8K0uN4xHfkSDlo8gPRfuUD64lk44RVGwR/IRKzt1i4G+kDMtCatqdGDX6gG9A7OPjsC+pNmUUHthqQeXFExCKCcenRYb3pFOwJK8G5Bd9jnAFfaaJJwI8tAJ9DhLwsiI92lfIEqefToTPmzuwjqlDg8mR1Flig8xAj42jMpCdpAQLLcTeOsSwNjCPBYsHMy+Dve76uCx7UKOXoaM5GzwIpjPqM7CFI3sHg+qzTa6AL0n6kEcNp7LiMOyGD9JQMg6k8uFEEIeJ/YIMmvag2GiqTjsLKdXD1bvQ9xoP2kbKhtNl/8FkHZGtWYnXRcJExEVuXDAj7196O1UUUaUOVPjpwIWDVC4HA0ZF+O1Bg3V9kwOleD7gnQ68TKsZ5yEPbJQPBQyEYZP9mPJiHi8dkVvT+G+cGhdA/b+7G9rJSnJE5em9/l7JvsiKQK/vdkfAkQ6Usi4gmd0oGNfB1XqGve2I2fKKKSGpKJOV4c6GwcqJ4sGIp0Q5H9OGng7+6DDogW+vpJpMybInA/MOLm3bouNsV4in1joJhdwYo73fxJ7fvZ7kI6an0xViacKQjaF35wP7a+1tDBAYNjWAofCDPlVWQiSCbD4/gL8+OohWAwOapew/r9lmH9HPqxuK+7ffD8q1BUoU5bhlamvQMrvPa5alrMMV2ZdierDxeAdNtJtwrywXsFn5xomrQ1N5Wo0l6vQXKGB1eRASKQI1z7bO0AyZVg4hBIuEnPDYI/g46pvC+kOebhZgevEuSedL6wqZhS1RT0CintiRKKMWh8sGBpzxoHF5D2UbmtBxuhoSuT0BVujno7THVozWMFcKhyx2bowNmYszgXcbge1niIgtkVh8t5E4bHgC7mITOrHn5koXsfcxnh1k2IQ6U6Z92KfvvR3lTVip9ZI/W1vmJCMw41a/HVeFsIkAqys9StZl0T1YVsz9HIa9kVCHRFz4qKx3q6H0+2kKtATwe1ywahReYnYrm5Cllw+esfDONhxEAaHAYVmDia3qKHey8wVT/i/lQpcGxNGSVuCm0sb8LSq/zGTw2aFurWZLgm5Q3rdZtJ14OAHkeAHhUIkE8Fw+FUE29sQ3LkDwW4FpFwbgnkskmEIe+RF0CguhcNH2IYJEXHrEHBDT21/JmpaQtqSz+7WIbfiiqwrTugHfFnsVEraEqxUHsT1bjedH7KFXIzMikB0hRkdxI6oUYu4a8ai4hBja2IMSYZ5y0SYXYwgo3lXEUYvSMbIeUl9FwdOAcTWz7B9O9oyHoBVGIYRamD7ZBm+K+TgRkMpvU9UUAwiFr2DwURIhBjjLk4b1OcM4H8DAdI2gD8lfi/rwKMri7s9XMk86J5p6XhgVsYphxGx2VxkpD8BqTQfFRVP0BRLg6EU+w9cjPy8tyCXT8AfCWTQH3HLEJgKOxE0hjlxi7LlCFuahZ9efQNujxv90aN2Fhcqfhj2HVVgRfNBCHlsTM6IwOycKMy486+nrDiQhoVj/JKrMe7SK9FcXorSrRtQvXcXnA6m6qpoqMXmT2tRvGk9bnjl3TN+7wH8eWwRqh+4Chw7s5/8PP0qhJQxKjsbx4K9ib/B1no99ZT7y5zB81fk8NhIGxGJil3tcHEEUIYPxcSSYrzepUKFyYpcybkJK9yk1kO2dzm66iXIIsSnphIHuZtwWHoZnrroxOnHpwJCWsUuyULnm4fgsbth3t+JJ256CBWqClw67DLk109HZJ0WjxVw4GGzcGXUDdjPdUEw9RFAPjAVKZcrRXBwAXS6QzCb62CxtEIkYtRDdkUVdrU24Pf2diiMOkhcFlzvsoDTaoezLghchxlwmID02cjJYQhBh5MN3ryXgO+uAyJzwVr8DurU1TAeZjzXfuiKwnVXL+wmXom3HCFu68w21FtssPahujG53Ag5pg2z0mTBrINHcWt8OJ7PiPere9oOY/i4u/CZ1+KzsPUQLh69FP+LaGh4v3s9KekOei4dKMJF4XQiSBaKAx8DG55C4sb/w7XpD2F57GJMCZXCbbGg49nnuh/3w+jLYCBqK9KmH33iQDxaDPilDofW+VtLRy1IxpiFKX0StnanG4+vLMaPPXzxb5yQTNt2OUSRK+dAmBsGa5kKboOdXi5KW4S3Ct+i9z1o4mCYXYlThsvJJKKnz8RZx8ZnmKRzgshcYMlHZBB0wocQ4kPhJN+tHbH2CAjEZ1d5+EdEcyUhHRnCnvjY5k85fYUki8NG6KUZ4EUHQftbLW0ltpIgqM3NkM1PoSFQRHH70+uFcFhdaChWYucPNeBNVqFay6jJCeFy7Zpr8e6Md5EQ7C8qEZC25ohKISwwnhdrBKfDRclmH1FL7B6OhU5hgV5pQXC4/5xLrA96YlZJJA3ebddZsfJQK5aN7a1s7jLYsLa0HauOtONAo5oGuh2LofEh1PpgwdBYxMkG5/zeVK7C2g9K4CTnVL0DU67qe4xiKVXCuIM51vDmh8Hu6oTN1jsn4mxCo9lL/eYJwsKmn3l34aibGa9u4iMvZzpdjgXpoGmwMoXULWoDnp2chcfnCenxmBC6WzVMQTVOwMM4WT9KRXLsJp0+J8Gq2lV4af9LyArNwmNjHqP+qwREQLLruxXd5KxRraIEX1+YavLgL6P/gk8LX8AVITqIbFqo4S+aE2JSEiKH0CJEKK8FAm4CwqfNgjw3FYlyKeKFPLRYmXnq85fdh0+TZMhzWLpJYXrpJYoNyi46NwoO7x0IqGgtBtws2A182A0u6Jp9/rKMUYgPYqkUi4aRYEnGJpAbJaZzwRN5VetsOnxW9hlV4JMANh+GRAzBK1NeodvE3vPtiZASPw4jIcQhWFHPAQ6XrMCIYdfT24KGR2JGRRu+gp00D+Cg0QSR0AOLlQV1RD4uf2IUtn1VhY46PVVF7/+tnh5LZ92U2+v3f6qwlpXDYOFSwpZAzmXhpRIrWhPb4PRaJkyI/WPN7wP4cyNA2gbwp4LV4cILqytoK40P0cFCvHFlAcanDSxwhlSySdI1GaT0nLhFRy2ira0lxXfBYm2iipnDRTcgO+vZQTdHP5uwGA0oXPMLtSHYXj8Gy1tVuCwmFH8bGQt5fCKUzYyhfUhkFFXOElsDYWQcKh1SbGtzYXuNirYrEZDLDeWddCEf1YjEUMYHNycK6ZEDS5D3DWwS84fSxXbznajctZ0SuB01THtz9jGtQAQGtRJS+YXRshfAuUXnf98Ep5ppx20iiu7QaYCKGWQdTFgLvTUFbmsCHlnMqDMGCxa7C2VcJxNo5XHBIgxHlNOB2Qd24tfctHNG2m5rqMJ9mjIE1TCDd6OAhW3y+RAGcTB32ODaNHDlQoTMTYb2N0aJWP5jM96/6Usc/a0Nhw8xicW3hoVieZQV165cjn/ecBOe7knY1u8Ajq5jfNXIQohW4n1LrzPrw61K6Pk2FBbIqNpWFLmUHpcm/XwbpmuPoM/GNC+vRIS11nYnrAc0MNfWY51qPKKSI5E/4gskzZ0HtduAt7bf3/2wxxIeAl8i7A6O6RkA4vZ40GZzUAK3lhK5VtR6yVxik9ATJUbGC+6/LUo8lBSNMGKRQEhbtxMjpFyw21hwszw4omdCff7XYLV1QKXa2t2yGRNDspnPAEe+oRdsjxuHpdmQcNi4IS4cyrfegqOVITZMeQX4RMy05qdFBOHGCX0TAz5oOsw4vMGfuj3+0jSMmNt3y67O4sBdKw5hdy3TuUPOd39fkItbJvX+H9KJsZSsJTDuasOCGxbg7cK3qe8fsUi4xuoPIRkQiFfsDzcxpC0JAstegLOKmU8DmnqgvRi4+mtAcPIOF7vLjqtDL0NFQymiHGHgZQfaPo8tDuz9qbYXuUgKgGcKyfhYcMNFUH1ZCW6YEMEz/aQk8Uq86M4h+O3dI9Q2IW9SLMJiM/Hh7A/x8NaHobVpqQL86jVX441pb3QTVvT1uj1wKpnjGzuIB2H64LUjnwxdzQb8+K9D3enqx4In5CA+K5RaI5xMqXzfjAxK2hK8v7UGl4+Kh9HqxLqyDmp9sLdOhb4640lqPAn0XTAkBsk98hwGCz3VqCSUaPTCZIi83tw9wZX5zzk8hMGOThpkSBSw7GNa0M8GgoOHIDvrBSgUaxEd1XeXRM0hBRJyQgcUrkbtXm5aA0QPJRXwPu9CfOVviA33h3R1qPFMOlPg+FWhpaQewaVRoWCfZmeTy+qAtqUNJbs2Y0SdDJ2hjZBO8h/neEIhKnZ4A6hOAkKqXjriUqSY10Ot2gh7tAmzbr+Z/taIlYEkNAxsDgf6Lc3Qr2fmVpx6PqIW59PXT4rG/6xnFPNuDgex0TGIl4r7PY5Y9DpwBceMad18BEeLYdZa4LT2b/VgNhggG5kE7aEqiPPDELIoDVaHER6NEZLQ3mpjs8OMLyu+xKeln1IVcWZoJibFTQK7h73RvJR5OBUsSZqLQ42/0PWV5V90k7bCbDlmS8T4ysiIMIg1yZ3jElCytQVulwfqdhMufWQEDq5txMHV9bS40l6rw7avq2hx6nRBOnTUcr8CP4FNQoZd+DyrCvA2xIyP7a3mPxMcm28QQACnigBpG8CfBpUdetz/9WEc7WTUAQRzcqPwzyVDTxgOcCwam/6D5uZPESwdipyclyGREC0bA6kkG6NH/4yy8oegUm2j/nyEyL2Q4XG4oF1TD94YGYq2raG2A3aLBQ6BGO9dGw0HT4B3m7ugtbtw7/W3gMcXUC9agTiIGbwrzFTRQSJIrvES47tqlJSoJQNipZGpipMTKQk5I8vLayuRGh5EQ8wIiUvIXKpEGgDI/x02ez5dlE0NlLzNmzKj131Urc347OG7aJsQ8b7NGDuBej4F8OeHra4emvcYPyw3i4Xv592P4U0MYasStaEkahdsdQ/Sidc1xyhrzhQ8DgsrajsRLnLCbW3C601MS/YjGz7B05OHwnMOLBJIS76s8mfsbw9Grte9ZGtaAuwcIa4oiIWQN/htrEHjY6EqUuD9ZiW+19kxdXkpnl88BLWFCvq7j96nwZuNK5BVtweVzQ0o/nIFhoZ7J/qkTZEEj5wA5BXzWRwYIMXTTR5srimDxe3Bl+zjf9M2HRcdqkRUO6ZC3lkCUXsr4NkMYDM6IkfBljsJTTVmNNVIId51AO1xFWDxBYDIgMVpizF14kX9vg4yiSKBZGSZ0m+/AYOv2/1t7vt1RswnFgmFX9DrIdZKpNjiUStsRp27CQa74bg2ZDKAd7lM4HIHXtz6I0EoiMb4cRvR2PQhJJIcsNmCM/NYbdlPV8uDUlEqycDd0XLw62rR+ilzLACPh2dSF3YHiTyzOA980g96AshjgjD31nys/28pJl2egSHTjkk996JVa8FNn+7vHlsIuGy8dVUB5uUfXyDhp4TQ86WjwwR7swER6lSMih6FAx0HoHSy4Ym+89Tee/lPDGFL8OMdwG2bgYjB6x44DiR05pqVDHEbmjywh/DEuNVzFYwtDCHNixkce5Y/C2oLu7rDZ8LiJMjs4cV8phBmhCLynmFg8TlgH+PpGp8tx/w7htD93KdII+TsVwu+wn2b7kOtrpYq6W77/TaEicLw0eyPkCpLpT7OkfcPh6PVCJfWBhaJdR9k2MwOtFRqqLdvXKafFJYTn8ee/44FRCZKKUmbkCtHVEowOAPslhuWIMOUzAgaGNiiseCS93ahqsPQ7UPdE6TIQ4haYn9wKoKD0wEh0XMnxaJ4cwslp0u2tlJ1/7HgyPznP54ztPtzIQGWXQ4XKtWVqNHW4LYht/XpT3ym4PFkiIu7ii59gZBp6z8qBZfHxvC5SX2+h+MQ13+YoQ9Xx4ThlfoOaln0TTsT0kXCQld2arrvsyQq9PhzhMcFRPjnawQupxOqliYoGupo556ivg6Kulo47FYQyUc4QlCfLKSkpA/i4BBIwsJhVCmpuCU4PBLBERHey8juS+IxK5IG0zFfkCie8nx8iROJIxIQKsvv9TqkU+Nhq9bAVqeDS2eHemU1wq7NwbWxYVjRpoLa4cQ7OUkY0g9hS0D+T88sEbhdgKoWyTlTcd29w2ApUUJf3AqYPoTZ2YUu21jY4iJgC7JCr+qCzWSCJDEc4qdDu48Vuz/6EmXbNiF/+hyMWbwEAnkIvq/6Hh+VfESDw3wgwXdkf8sNO7HNyIkwe8xDeLn+J+jZbKy3deBRUydCgqLoa5n6t/FIem0bGlVmamkYMi4I+T2On5mjo+n+FZclwqbPamE1OTH16t7f9anCuH07VPLJ3ddDvXWE/Y7D9JINFsZIBrBPDwB6lQW/vHEYWWOjkT0hBsFh50bgEcCfCwHSNoDTBpl0Hj16FDt37oRUKsWcOXMgk8nOy+sgytrnV1fQ9kUC0rZPWhaXjUk8JRLFZlOgtZUJDiG+tTze8V5HPF4Ihg39CHX1b9FUV5lsFC5UENK1dXkhjuxdh5pvCuF0M204BGyHFfHtjahPzCQmmVjRrgInLhwvZ8XTz8zjckOzshrm4i5E3JwPQSrz3RJSaGZOFF1ICnJRixYbvWrbaoWfMK9TmvDh9jq6yIP4mJEdSRW4UzLDIeYP7NBDgsumXX/bcduJBy5Bc3kJXTZ98gGyJ0yhBC7x1w1UM/+8tgjtf/sbkXbR6z9OW4SCdr8SZlfKSti1o+FxhFPShnuGnlfHgjzfZaPi8e+ttYAgDtYILoRdTjjUHBQc/BilY6edcNA9GNikMmBOx3qoqwRwcEW0tcuTewWihQJcPrJ3m+tggUzigxal4vf320knLraoDCi1WzF6YQptVSMenp0xi5HSXILsxjrsefofyH/vDUYJc6LWOXIbTwwPPwg2lgI82LHVmgALeUKPB9t5I+DIyEK+PBxyXhhqWiNRstMJrZixdYk1yZHtYULMfAEbAqsGNiEzoTPr7AjRpWEZnkKnrA4LWclwDreBF3TmBZ57EiOxv6Seru/VmhjS1vd5tezFbEzGEFUHcq2p4DjYQI+64eGiG6HVEhKShWlTS/+0xyuRKAHZWX7rgoGgTFWGX2p+oUE7pCWTJlAf8X/H30XNAxcs3JYQgY5bbu5Ofq6YfilKOcw5am5eFLXtGQhSh0fgmn+M67fNsrRVh5s+O0BbqQnIueyj60dhZFLf6kPyXUomxtJzp09tu3j0YkraEmxr2YaCyFNQB426BWjYBZT9CNgNwDfLGOJW2I935GCApGSTBPFTgKPd38JOSOsA/CChYGwuC26nB+MuYUjRwYTPn7snnCoLTIc6kTQr6bj/RxLel1+0HH/d/lfsat0Fl8cFhVmBi3+5GLfk34IHRz5I92N+vBQgyyDAbnVSdVxrlYYuJJSNFPyID21P0pYokDNGRdFxPfGmjc8J7VOFOlDcPyOdkrYEx4aKJYWJqfUBIWpJkbdPD2unE26jES6jEW6DAS6DAW6jCZJpU3tlNuh//x2G9b/DZWRu9zgckF+zDCEXX9zn6yK+2YSsJWP0ki0tGD4n8bggNU4PpS3XFgp4T1s2exfeLPwCvzf+Tq/PTZ5LvbPPNcq2Mx0OhHjmCwevWBzO52JxpAw/dGqgdbrwi0KDcSESFOqZtv7cICFyju1q2vEqc56IHQEs/ZjaM21d/jGK1v1GidsTIc4c0ktBSnD1s/+ihC1fODByrWe+icHchN9aK6i1j5D4+3vHUPIrs9D5ViHcZiftxjBv3o2ImROxZ1wOLMSCqUe46gnhdsNT9jM8G18EjAp0uj+Fy8L8RjikBM65HVIOB2Qoypc7EX7TeLCF/jGPfs1v0K9aDfaEcXQuRT6fI7+vxpGNa9Cc6MD+pE4YgpjPjHwuF6ddjDuH3YlYyZlluAjFYVgkjMeX9jbYWCys3vsals38F/N/2Gz6W3xvSy09Lvym0SJTyAbf6kZTqQq1Rz+BUvMDjKZqXPLXTTB2BR93znY53APuYHCqVDCVVUI78WbmM2G5cQVXj8VBHtQZmHFdvtWK4PfGAI81DKjj5ESo3NMBvdKKA6sbwOawMOqiwSGDA/jfQoC0DeC0oFQqsW7dOtTU+MM4yPq8efMwfPjwczYJVZvsePSHI90tUARk8PXO1cOREXXqB9mGxg/gdjOTs/i4a3qltvYECc5JS334uO0ejxt6QwlCgk8efnI24Xa5UX+kEUVffI3mjgNwefxkrZvNQXH2COwbPgVmsQwjyw0oVZrgDuLiS5cHN8SFIVcqhnFPO8yFzOeq/LwcEbcPBT+utwKBzWZRFS1ZHp2XjQalCRsrGAL3QIO6u/WMfE8kBZYsRK1IvEYJ+Svmc2iQGVkX+Zae1/lsekmvk/t6txs9QRCFR8OiZNqK7BYzijeto4s8LgFDps+mCau9qtIB/OGh/mI5LEVFdL0lIhpbxi7C0n1mGkpUHXYIHdIG2GuuooqZcakDs0M5VVw+0kvakjau5OFY0sWQMRHF5fi1U3PWSdsNLY2YoLWiQAG0xI7G0cwrEa0GvpiXhIz4wQlc6wvhiSF4vCABjxUx7eTPrCrH+genoLCoEs5mAZy8YJTm3ojhR97D+M3roVn5I8KWLgGyLmK8MflB3kUC8MWwsIUoMtkwXiahAqLW7bdDdnAznm5+G9wGIK+5AVyXB4L//IojBxRoKlPTIhGV5XrRFVGAIZ6DEOfnozM2DSUOCS4P0qBl1wF0DFmIxjoL2B7mAVHaVBzYDRzevhEZomaMnJcIyZQp4EhPbzA+OsRPTO3VGYH0TEASDRg7gOb9WJb9IkyNKvBigsC3sIEePBYJXfOdZ1wuI/X1DYDBmro1+Lrya7q8OOlFLEpZABR/S29zgY0fI2fhMnEQ5B1taKz1tpzHJ+BJ0YhuFSyxLTgV9EfYbqlU4J6vCmH2FolSwoPw6Y2jT9oyLS6IhG5dPdwWF1UpzkyYCc8ED0ZGjaSE2SmBjKUufhfoqgIUZYwFx093AFd+eVKv2QGBpLivewJY9CYgOT3v0i7lFjQEfwp+cgxCTOPBOQOS7c8IQsiljYjA0QOdNMzybMNtdUL5RTmcnWaqlpVfnU0Df+htLje2fX0UyUPCqJ/tawdfwwpvQBBBfnhvheDpwmF3ocNH0h7VQNFgYI7fx6ClSgOXy91LPTvj+hwMFkYlyzEtMxx1B0sht+qRwHdjXLQAw0J5SF8wE8L09O77Wo8eRfvfn6LkrI+o9VgYm4hjkbl/HzjB/sKJraYG+tWre92nrbiYkr6yJUuOezxR2qWPjET1gU4aSla5u/04pT831E/ahisWI/3y+yEQRILDkdCQRh9pW6utPeekrcPmQuVeZvxNiLLs8adhy6SuA8p/BSY+0N0h4cPNceGUtCX4tEWJRoXfC/xingfaosNQqZVQGXRQ1FVBVXQU1yazwO6qhrVJDbQYwdbp+iRsxbxgmMUsFEU0QhVix7Kpd1BvdNO+fUzLoLeN3SESwSUUgiUUUtKTJRKBLRCALZWCxelNUguFjIVDi52F13e9jSazGiqrCg+NfKj7PpwQAUKXZEK/4heEiL+CcMcBIHMD+AljwD/JsZy21pOVytXA1pfA6iztFqSLHT/D4E1+9LjscHaUwNl6EM7OEsBlR8jc1RCk9tg/XG6Ydu6Efc9uJEWFoj5Sxvg5uz1IaOAiriEWDTFmBE/Jx+0zH0ZKyOARjEuG3IwvDz2PKKcT/NZDvW4jxRNC2hKwVDaUxYkwvNZGiwItD++A84EqOv6z2EsRm3HRcUWhH14+SH9Toy5KPmlIGfk+2Q+9APdBRl5bz3PD5uFBF17ZfZ/xFiujDD9DwpYUZsjvm74vFk7vt+KF22SCbtVqODs76D5BJ9l0n3XTS4/vutsN2dIlEGT4i6+2+nqoP/+ciiwo8e99TM/n8D1n7MsvgcXtTREG7B3OPwKk7TnCnj17wOVyKaFJLv+oID/aDRs2YO/evXAfY8xut9vx66+/ory8HIsWLUJIyNkjEAhIi/5D3xZB4VXA+EJBHp+ffVotwsSDr62NUfSw2SIkJt0Ou9uNnzq1yJUIB0TG1Ne/g/qGdyihm5R014AOcORzM5lMMJvN9NJqtSIyMhLR0YyarD/Q9lqtFi6lEk6lEpYOJVpqzWjuYKOhqwwOaxE88A9YWGCjIT4da6cthkEiQ7DRgNdefwb/TVoMVkg0OBYXQrco0KqXIHdpJiTjY2g7j7VKA4/NBeUnpYi4c2ifqg4fyGT21smpdNGY7NhSpaAE7rajXd0TX4fLA5WJ8S46fQQBkksQw+tAjqESGaYa8D3MeyXpqttWfIItKz5DWfR41MeP634U325EkJUZCJLzVs/gCXqy8m5zsblQi4naw3sbaW+yqCFwMZV+en7r43EETqEEMQkJyIkJpktuTDDEmiaa3HoyEMKZtGb5YDOb0NXIVH37A08oQkRSMthEkfYnt0XoevPNbluEf113B2aF7kRD5s9wdl2OvUm/wKKaBiE7BH+7iPG1PBtIjZBgVFIoDjZq8E3EQizkFoLr5iC3wo4txd/Dk/bAWRvYmJwurNJ7kF5PBpF6dESPodsNbkA+LOKsD6iuuDIfq80Wqlwi4S6vbziKyZeJcOh9DYIcIdCG5qAxcQ6Sm9aj67nnEJSbA2FuLhDsH6QqbA58XteKwu07kVhbg0iDAu6yMnAVCsjBwxiUwCSOQl38IigiR8D1ScVxr0MmtiMjX4qc+cPRxZ2Bf6yrxPqyTiTIRXjgjisRewfwxv7X8bXsB2R2jcaQrsmQWJiuCSdXDEt1Hdo2vE1b6oPGjoV05gxIZswAL2rgbcskMCU7SIhKkxUlBguMLjckxNe27Cfq0xtcYIJs0QSw+lB+CPiRvTzULxTSlnSq1CiM1Gqool1PbQEipUIkysV0Icq0+FAxLaD1B4dDBzZbCM4JkqRPOL5oZNLKuSwuE3zSuBPQNdNtW+Wj0cWX4968OAikYqSuXYPOf/4L/+ZnwuJgxlV3TUtDgrx/T0DSzks8MfOmxJ3w9/LVviY89UspXF6iiShricKWKG1PBvKdE6KMFykGJ5j5HC7NOANPX1LsuGoF8OF0wKoFqtYA218Bpj2GM4LNyCh3O0uB9iPAdT8e1158MhDvw4P1q8GJ2AVOJCDpOHvH3j8ySGFg1PyB2U2cKWyNeji7GLKRjN8U7x9B+A25YAULsO6jUhpMVrWvA4vvL6ABTGmyNOq7TMOGIiYNymuo2ttBw4P6gzw2CPHZoVRNezbPWoR4fWbfZ7Bs84Uz+WFNiOxF2pJBnLWYSa0/GQix25O05Uj6PoYTEpglECJk4YI+yXxC2hIUbWxC3uTYXmQTS8QFi8+mIaAcZQiCgvyJ8+Q784FYJMxOmj2g1z2g9+Z2oqb2nwgPmw6ZbEyfAZLVBzthtzBj7ozRUdTy4ZQDD3eS8ZwHSBgLkHNnDwwPFmOoRIRiowXVXUrkbfoVF4kFEFhNYNVV4OPjBtRiqG0i8BVitF11Hd3ikYoRFBuGYIsNIRY7vQy2uSGf/yaeTvoARRIdvd+E7OlwqtRoufOuAb30lJ9/gjA7u5fKWv356wgZEQGbU4C2SA3prcdnJZ9ixJpaZLFiwBYJwQmVI+zmm8Aea4GgiCn2u1Y/Deuw/6PkvlOpglPZBRe9ZOZ15HV5XCGImBeJEOFBxm6qB2zuHJgRC3vrAbhaC7uJ2p5wdil7kbacUEbZzne5kd2mwprROli5IchpkELg5FBbgFTSwfZtPYrrvoL4sisRldrjd3IGyMi9HJ9ueR7DVW3gsDoAfXv3+JAIru6YkIwqpx3rQoByhRMjakwIV5aAr1CAU8mCLc8Dva4IUZG9Sdtd31dTj3qiZG2uUGP2zXknDCljBwVBKSWWGC30ej2XmZ+6ohrI0NpP2hb0tuY7HRAbGIPaStcTcsMgCT39Ti/18hXd86CTQTx2TC/S1qnogvYbpgB+MsS8+EKv47Jp7z50vfUWop/5PwizzsyWIoDTxx+XPfwDgRBxmzdvhsPhwK5duzB16lQMHToUnGMqdX8EkEkOeT8+wjY4OBgzZ85EQ0MDDh8+3K24/eSTT3D//feflffocLnx2u9H8Z/tTBsFAZlIvXr5UMzIPn2vsMYGorJlTnbx8deCzwvDLaUNWKPU0YPXvYmR1FuJ109rm053GPUNb9P12rrXoFQeQkHBW708C3///XcoFIpeJK0vpbInhmZkYF5ODnjx8eBFMhN8rVYLoUKB9r896T2Zq8gMGW3R4ym5oZFlwMNmFEBCFht2L2HLYXERLh+B9Lh45G74EquyFiBS3IFXPvoXEjvbcZvuRzwz/laYuXxoPC48tq8GHAkXM+alQn5NDpQfl8LeqIfb5KDrEXcNAzfk5BNy4iN82Yh4uhAfXOJTRGwUiOetye6koU50cbj6DIM4KVgstAtj6LIjbBLSTbXINVQg1sZU/9lwo9ktoR5JPuTpKzFZ5fUHPAEMHAk+S2QGfj6M6tyJdDMTxnQilElysNku7g6sIbiz4SPwvKTyibDooceROc4/aVI2NeLbZx4/6eOE0mAseeIfiE67sP2VzwT2pkZKssFmw4/T5qIkPQs/lb+JVksN3kj4NwQcOZ7NvwVOmRQxIWfXL+qKUQmortNirFOGPRNeRkr9eiQ1b0T6ge9QPPt2DDtLatsNKj0c1qPYnW1EkC0KtmBGAREazEN4j3CTs3n8f+GSfMx+YxsNIfx8TwMuHT4RrJlfwrNOSgtDdSkLEaKrRaiuBi33P4CkFcvBEghQyRXgw5Yu/NypRbBGhe/feIE+Z1/lGzs/GO2xE3ttC5IJkDkminqCEV9Iot5/bVM1Vuxt7PYoHJ0kp+eHen0NPq/4Ai6+C0ditmG3pQCTDRqMszoBUQpiOvYwT+pwUMWJ8kA5Gr6pRXKQAklzRyHsBiYg42QYGxJESVtyNjyoN2Fa+iyGCEsaD05YDNBPqx5f4A9QtNsVCAo6962tCoMVFe0GVLYzBG1lh4EStn35PR6LSKmgm8hNDPNeehdV2ytQKjchKfFWxMUtA4cz8N9iqbIU7SZGkTI2dixCBCFAUW9rhBkOLjK9vy+uXI6S6x7AihWF9Hp8qAh3TvWTGceifGcb9ccjS0e9HrNuPF6RS9SAr/xe1a2mJ7hoSDRev6LglIrBx4Y3ORx6KJUbaHunJCgTMTGX4ZRAwv1I2++XlzOqmq0vAjHDgKxTC4PpBhnDEcUuIWwJuILTUtru79iPR8vXQ8ASYZHMgXxZgLQ93xBlyRF+Sz5UKyrgsThpLoHivSLIl2WDJ+B0txKvfr+YBvwszVyKJf/P3lWAN3m23RP3uruXGlLcXTZgGzDmzJW5u9s3d3cXNjZguLsUSqEtlLq7xj3/dT9v0iRtgcIY2/d/O9f1kDQJ0Vee59znPid5ATu+N715ABDwIR8Swmw+jlfYsFntaKpUdytph8+O97I5iEzx7nLyD5Oz+yNT/RGR7Af5CRLrzxTMtbWoveUWmErcHYGeIDWtJwRKbq7OVyrZEKjoUtXndZ7c+xzve95cZplAKkyBQoGmV19Fx9ffMCK4/sEHwROL4DNjhtf/CY5WMZ/emiPtrHW67GALs4Zwgb578rWl38/aafJSupHS1gVS2p5JkHVPTc3nbISHzUd6+ite99P7KNjKWSMQMidwKtNTQjAdJ5znGvK870Ha0ue8uLEKtRYerv3pbfDggEuHbOlDASHg2dFlkULaSmIXzg4jRKNHyDG99+MCk2DjAwVybpsIlgUj3iceVud5pz+g+YwnbO3tcByogeIAQDOy+WN5+HmCgAWRviLZghe/tEFoB4QR4Yy0lcy9Eaj4EOiqhqBxN5q/ugLGDo/9gSeAIHgAhJHZUKUJ4Sv7BZKO5V6v6QgfgqYD6eiqakPtg5+CZwRkhWKEbIyDMCgIgqAgdklDFOGt7FRMmoj4pb9CvWYt1GvW4MKd1bj/+k7YBZ2YlquCVuIHs5A7TpTm7EZLVTmufevjMyMM4fMxLOMSYNvL3HksfwkwlguKtdTrsGhPBw758LBmpAIVIUK0ZLdi8hufsvv1+/gwZdjQpT7k/V04HFAGSJkFBSlNG8vV+Om5fYy4jRt4/LDqamdgqA0OVInsUEh4KDFxzy232zHQZAIS+ozBPSUc2eUOH00f++eCggNvuJ5T9f/xx8kf3ENYd0rVMY//6zCb0fjMMzCXl6Ni/gIELFqEoNtug0D5rw3S2ca/pO1ZwLFjxxhh6yLeli1bxnxgJ02ahIyMDObl8t+EadOmoaSkBMOHD8fYsWMhFosxaNAgpKWlYcWKFdBoNJg8efIZJ2xpkU7tikQUHK7lKqSEcUlBeP2iQQjxOf3qldFYj7p6rgIlEMgRG3MDlrd0QrtuHZb8/CV+njYH2+ctxAPxQE1NDcrLy7uJVxf5qtfrEBAwBNExB1kLRJd6C3L2L8DArA+6F+VVVVWocyZdnwii739grZ9hzz4D/4ULmfr2zTffhEwigZ+/PwIddgTCgYC2djQGpaCDhUdwlW4/8ssJGoH1dQWIVaZj8LTzEH1xNnT79uFNw0WwlxshEdkRdd/DqPGpxR/7PsTckpewWnkP1GIF2gUO3LmpCG9KBZAOCsCoK9PQ+kk+LI16FkrBiNubBkJwCpV1WuxOTg1hoyfohGu22WE02xmBy4aTzDU6r+vpuvM21/3GXo+NRKNlLBo6mxFQdwgBHeXQh6bAz86dqehfubF/2ySFpoX5SNnv6DrPyToEgPf8r09I+iBq+stJN3YZkWh39Du0zQWzXo+ACO+JM4UvUHElKDr2/0VLi2rSJOR+8DbqPvoWn15wCW7u+hXK1qOgmu/bDT6oiH0dqbPOTGvnyXDuwHC89lshBmmEsPOFKI8dji/Gb0JNVBdu4pHy/68hbSk9WabZgCOxfMh5IzDMeShJGX3mgm1OBlIx3jk1BS+tKWJFswc+z8HSB6/Fk2VvI75kOJm3IT/rOoza+zxQW4vSSZOxa9ZcPHr+Zd3P0eoXgDZfP6j0VjSFDIOcp0N0tACyzCxIszKRmJmJkncqYNJbWVtxysgwtuAnOxba7z/cWob3NpVCY3IXQoJVEoxMCGA+uvk1h8CjnY4HmNsmwW4JwdYggMo1EpsZA4ZeiFENhRjXVIggXQcawkehIXwMaNlWsEeNQVE1SBkZ2u2leLy2MLJ2+Kq+rdvXdtKQKwAaHmjUNSK3KRdZwVndrfHeSlu3tc9fAZPVxqlnGzTd5CwpaVudSc2nA+puoUFqc0/4STrxn/FLIOJbcaT4DXxzKAMRAaFMoUuELql0T0R8ulS2BPK0ZQT4ES5tukugxNrAsfg+0tuyKCVUhYkpwaybg2wRjvf86lYDdv7iJm+ojbKv7+q+JYdZsrwLN05IwEOzBrBt78/AalXjyNEH2PWgoGmnTtqyNz0NmPoEp1IjLL0BuGEzEHQaKqjNzwNFzoUfkeOX/gjI+vbpPRFo2yaYHDz4OIRQhPzr1Ucwai04srMeWZOjenmVng1IE/0QeutgtH5VyFS35KPZ+nkhRs9NgElnQfWRdqaUXPF2HhY8MJSp0swNOjbPIxiEfKjGuecUZKtAYWpE0BJRS/60VrN7YR+W0O5F2vqFyplva0icit2u6Eeh/0xCf+AAam+7HbYO7hjF9/WF/0ULwffxYZY4RMDKMjO8/o8wIgIDjhR6edX2FwI/PzZcCH34YThMZnT+9BN54KDu3vvAf/cdKCdO7KW2JdKWcHBdNTsueZ5ryNeWSFtY7Uw44bIeifaJZuFjVrv1jJO2zS1ruq8HBk7sfX+lhnkSE4JjVAiNO42CccZ87jimaWAt/+b6I6iq7YRQJEbsgAw0PvMssv9YCcsL70InV0Kp516PIOLx4SeRISg0HLGTRiFk290IkBggCEpCa+IlEA5s56xjaP5OXrXsOo+RejZDOPLtlTDyuQ7NEeEj2PdN20XQHbc7f3si/2xwGE1wmIywG4ywGw1wsEujl8LaBSLzyWKBfusLdjuwN9WBqlAeG8tH8TB/lwN8lz+uQASMuwtYyVnsBWVoUX84CzypP0SRQyEMHwyeWAGFYCX8RR94v1BYFjD5UfBSZkG5YweEsnbUqvfDIQV8Zp+LxPtfO+5Xfqz9GN448AbmJ8/HjPQZrAsq+O67EHX0KD5d9wMC9uyDpboaVn4XagJ8UBkfCYPZhOHnXcgIW1d3p9Cp1D1tDHKStoTWY15e6Hy5EFmdFoQY7WiW8vFVQgouVqng0GggOyxEl8kGjaYAdrsFfOeal34/KhpFpwVg/eeFrABiNtqw8oPDGHV+ArJn9l4DdbXo0dXMdSPUC+ww84DxCb5ITZiN3Ye/QpTZBJHEp1/BeSc7D5TncUUECl08EYncH5AtR/jzz0E5fhyEwcGc3wLPvX2zv53bsCTB+1wsy8hgZD23Pzj3D+e+0fNvnthdRLA0NblJXJsN7V9+CfXq1ewYp5o54//F+vK/Bf+StmcB2dnZrN198+bNKHN6sLW1teHXX3/F9u3bMWXKFKSmpv7jNnwiXzds2ICYmBgMHeo+cFHo2F133cXIWk+kpKRg8eLFOHToECNxPUFqUiJxT+Uz0gmCFpvkV7vxaBNyqzu8FJlCPg/3z0zFDeMT/vSCirxsHQ6nyjZyEbQ8X3z5x1I89cW7cPB42D9yHH7IiGUqW1IV02/ZFzSaTKjV/hiQth1CoQV6fSly9s9DRvprCA6eBoVC4U4Blcu7h0wggCM3F8LaWgisNoQ1cmpRsj4gRcPB3VyLsMFkgiEyAg2REeCZTRC3NUDUuRN2NEKqykaCrwpZpkAILArMib4FW0eHIGQup3z5QuuPT6xcrbrFwseuwBB8XP4IjCFGHAwBIlqfh7jzOrRaEqHhO3Dz+kJo2wOxeFA0Hr4mEy0fHYat3cgmkG1fFiLo+izwnaqNUwWpBkj5IY5QQBShZEMRqYSPv+QM7Qfnse3nmR7P1VASi+K9J/e5lSqUeHzeVK/bjmzjoaW68qT/d25SCp7OGMZUbESS0KgxD4OaFHknYW+/X1sP3Y41SA1VIT3CBylyC6ImnsuU5OLjeDR1NTcyVlgs8yYK9/72M47u2MISbhOGDEP8kOGIyRwIkeTPhzD9XRgZcgRfLAQmlqhxq829sFBbL0b8rFMI9/mTUEqEGD8kHPVbWhBh48MhjEJDcCQ0ggbsOvgO5o1/4oy/ptZqQ05THSySFEhMFUht5awR7HDAkPjXq2w9cf34ePy2sxLFGiOOGcz44sciLL52IT7/zwaEdyWhRdkFi68fxK2cksmn2O0TFgg+rtSL0TD1CRzuEMPh4DHl1bh7OU9SF85drGILfxfhQQrIZXl1eHnNMda27wJ5XN80MYGdBxQSbkozuWggwssfwU+B6zA1ZBG2hmzG4XoRKrriYBIIcSg4mY2PHOcjsasecy3BcJWgNA4f7FhSgl2/lSJuUBAyhgfBdN+VUI4eDdW0qZCPGsV87Qgj/Tx8bTu9VVuE30p+wxO7uG3h/mH348oMTsErFruJR7PZ7dX3Z0DHOwrLOtroJGfZsUeDspb+qWfpfJoYrMSAcBWzdaFWxbhABVq0JtatUN2uR007d0l/t2rdtkQuzIzbxAhbwrrKsVhaSoS2u+OAEOrjUukqnEpdGbuM9pd3ezQKeAJMjp7MkYoWLuBKZx+H66rsSMz7Dtawa7sXjmRX8uU1wxmBTLYlfX43dgc2fnWU+TAS0saGIy7Le/HUqTfjxm8OYF8FR6DQlILCDK8c/edb2h0WO+zFIhSZZCgxWGFW5+L9gaf5ZGPvAuoPcmS2Sc0tfud/fGrPkf8LF9xDoMXaws+BYHd6+qlgfxPX5ksYYA2F+N8QMoYDayqRt6EGhzfVYMb1GYhI/pNEx2lAGCRDyK2D0fZ9EUzFHcyrsGtZGcaMDIdJb0FTpQZ6tRnL38rD/PuHwnzQXUCSD+aOUUV7GlCS04yG0s7u/acvdDrJXhdoHjdu4d/T+aPPPYiqq69hnRQEcXw8oj94H+K4E+/LbO55htZh9FxhTz4Bh9GIrmXL2HsxHjnSi7Qlq5agaCVaa7ToajGw0DrPtm6hnwR0pHXwbKir+gk2hRpCoQ+ioxYhzieOWSNUqithsVsgcpJYfwbkt97SspZd5/MlCAzsrTQs2Ma1lBMyJ56GypYgFKM9+QpUbPgO5doA1N77AOOFIlLTEXntYmjWroXUYsY5u7eiJSEDMcH+GDVoEMLjE+EbEuom1rf8B5A6t73BlyFo/OITvix5PR9qcns4jwwb2a2yDl584v97PPhfcgkbdA6260ywm4x4vr0AV+66FXbY8dtEKRZOeR5+fH90rauEw2iDXT8advtzcFj5sAfLoZhCBV3vwobBNg5KwVKY7NmA3BeCYeeDnzQGfLkIvC4T5MNHQ6feCDibJWSyvrdvKhy/e/BdLC9bDgccqNZUs/OrSCBi2ymRtyPSn4XjTgfbRjVr1kK2di0mPf0KSitKWD4IwXTsGCoWXAjb8GwclAsw6pIrkTR+0qmv2QITgTlvAgkTUS+WoqO1EBlBGcz/XZYVBN3uBkxtsuKHWDH0QiHaJk5GwB/LwTM5ID3Mh2G4ETpdMZSyVJira2AuL2P5BGEJvrj40RHY9PVRplqnddGe38vRWqvFlEVp3V0GZGdhhxBBc81Ys1eKVg239p+UEolFUTOAVS+AHTkGzOFCOf8Eju1rZAGUBOoSE/THJ69HtwD52JIlAW1fNYWHEZM56LgBhycCWUIwu7JThDg6GvHLl6H9s8/Q+uFHcJhMsDY1oe6uu6AYPx5hjz0KcWzsKT/vvzh1/EvaniVERUVh0aJFjPAjq4Tqai7MhVrlf/zxR0RERDAFa4KnWfjfBCJY9+7di61btzK/VVLVpqenQyZzTyQ8CVt9bi7zyJHEx7PHjBrl9hB1gRS4pBadM2cOI32PB2ptzaloZ0QtBVrRArEvJAQp8OYlgzEw6s8HTZHKtr7+Z3ZdIFBAoZiHu39egfvffw1iqxUaXz8s96E2Gu6ESsRraEMj6oNDYJVIILFRxY/PbicCllS1Ou1Q+Pp+B/DqWdDM4fybEB93O+bMuQZC4QWQkgm6c9Kh3bkT9ffd360IoBZwyeSZaFUloawjFfX3bYfO1g6xIgAWsRqwaiFubYSoq421DBH4mgq0hyrRbhUi3TIRDp4Qr432xxI/C3KO1SCt2YJX1xV3f+bHZqfh+jEJSIl+Fbdtuo3d1hBgA4I+RZB6DFobpsNik0K8vw0fWOzgDwMeuDaDEbd2jQXmGg3avj2CoKsywDvJSchU0cUWDwKVR+WunpJ4zTAeo+FWa/GkQg8iV8GCz4TB8tNKW+5rIhGenMrG6cA1cekvyAuSFGAMlwxhCsGSJi0jVI44yVy61FDLticsdhyq7WKDA3cyJL9O8sf19MqlduC+PqfdbkNFHmfyr2ltwaH1q9kQiESIzhjISNyE7OHwDTmxb/LfjZ4KR03nTqQXhiC8WIBV/Psww+91KIR68DLm9ArJ+6tBFgkv7mpAhDO1N7l1KPbF/IGfKlf+JaRtu8mI7TlXokIcgkO8+dCZOI/WOrEVN6WfXoDQ6UIk4OPZaam45LdD7Aj0blE95o6PxeBLQ7B6+Xrsj16N/GABrlkXCotIiuKYBIzuBGY1OcAr6oDFaEOzxwKlvqQTuk4TxAoTamq/Qnv7NiiV6QgWP939mAd/PYwlB9yLRTok0G9w9/QUhHp0WZjrtCxAMQbheKDzOoTfMBDBhx/EuVEVsDlU8I3fyEIS91V24EBlO8r8IvE+gJ/OTUHZ9ho01XCEME20yw+0sCGNvAHh+3YjYtmDkAotUI4fzwjckAkTECsVo8poxkGNHkabHVKP4kqizh0sc6Bin5u09Qi4NJmbT1s9221v0EgkrabfXuGBCnE3Mcsuw1VIClFC4myJ7OlTPjyO29Y8oTdbUdNucJK4OjR21GO4fBe7z2wTYX11322FTWoTGzmV3ipdvrQWinhOOi63peLlVTWIU6RgSvgDiKlbAaFlCq46tBHt675D15IlCH/pP0x936206eM9unB4cy3bxgiqACnGXehNJhEZfdUX+1DewhHEUhEf71yajenpf17BrtvXiK61FbDrrFg2UIwGC5mIGKA1dUApOQ0ijwWTvQ+0FHMqoNnHV1b1CQp/WXar++8Zz3MK3tMA+dkeaeMKyiFCO6IiBkIU+tcGMf43gPwL87dw27JRb4VP0N/3nVAAWdDVGehaVQHtDu49GfY2MFXZRoMVHU0GRhYuf+sgxrl6gvg8yAZyx6imCnV3G7EnlP4Sp92BH7s8kX/k2YYsKxPyoUOh37MHijFjEPnmG32qI/9qELFIqjiHxQxJWhqCbrih92N4PIycm8D8OMnTVizzXpazIMsYFfh+YhxuuonlVCiVAxhpSxYJRNqS2rZaXe3lc3u66OzM6S4kkspWKFT0Co4r3sv58ErkQuZn219YLRbUHi1ARW4Oyg/moLORelu833NDcRFsgQHse6t/9DE8PXoQ/OfO7fsJieXN+975Bw8YePEJX5919VWp0anUQODgw8azM6Wt12Osdti6iHi1QRzhPafUkY9vnYYjXY1WNtzXbXBQ548dEA0TInPeMFzVdRW+KPwCJocFkgI5DIwK5PzZOfQtNOBRGHNaAORZabBVPYHO7bGcz+omGvne7xcyJAnfh11ogDTRey3WXlCHg/t3YV/HflihxSTBMOj4BsjsCtTWVyI+OrnXtkhqTBrB99zN/h7owUmQlQIpLQvqqtAcoMLy916D3wdvIXv4WGReeQ1EQf1XkeoHXYx7ttyDXfW7kBGYgR/mcDZI8kHBaNldD0W1DqJWNexBUqzMHoXLVq1Ch/8AyPcVwjDchLL/3AjJck13YSZhxXLm30r7z8wbM7H74504eJCbD5Xub0Znkx7n3JzFAgBb33mHWaaki4V4/OIXYSaZLdVDE4KA4l/ZdVb+SPxzfra0vR3d6bbdoGLxqeZ4VF9zDRwWC7MZyy/MY3ktA6fNwuSrboSwh3DurwRfLEbQLbfAZ84cND73HHRbt7Hbddu3o3zueQi88UZm3eASNPyLvwb/krZnGXFxcbjmmmuY4pbI2/p6rg2PLqlt/u8mbYuLi7F27VqmBHaBWqybmprYe+8LbR9/Au3WrfBbuJC1WvRsnSB7CFLfEoisPvfcc5GZmdlNxpDCZcuxFkbSUotjLxLLicRgBaalhWJqWiiyY/wgPEk6ZH/R0roRDgd34NdpR+Lp71bi4pUr4a/l3MgNYYnwG85VYwlxoaGQHjwIm06HjROnY8Rdt2F0ckIv8sxqXYSjRQ+huXkV+5sCytSaAmRmvMEIW4fNhtYPPkTre+91p1hpEkagdtR1aGy0wdHmANq4lgQxfCFss8NmqoXNXMR5ATnh4PNh9udIm0CpH2wWIR4apsA2J5/9294a/FHMfRalWY9nzHmYHsKdrCdGT8Tz457HxjUf4dwfyvH6fKA+cCf8VQXQ1M2BVZMJUV473pUKIcji4e5rMtH6cT4cRitsajObrBwvKdraZkDX6goYCtqgGBEG//nuCQK16hFBS8/jCfrbVN7FhivQJeLpMV6PodflU0DDcfwi/6mgtt2sKF82PE/qpBr0VOXSqPTw4XWBCBIaFLjkgkoixKBoP9w1LZmlJLtgt9ow+sJLUZ6bg9oj+d0JujaLBZV5B9jY9MVHLPhsytU3IXbg2VOpngoo6dRcVoaQBx5gLY3RQW9iV+l+dl+Xww95Cj1W6ebCYdHjnbOcbDo8zh/qQAvstSIW3JDeko190StRaNejsGEfMnosBv4sYhr3or3AgARxJSr8AI5eAsSxGohPsXp/JjByZBQW7q7Cz42diAYfDasrMP+W87BPvQv2ChuORNnw7PXRGK+/HfHlJkxb2+4Ri+he+KeMCGMKBPKspRTxysr3WdeDydQEh+Op7t903pDIbtKWiiEPnzsAA8K8F+K0P3WtdPtO+0yNAU8mgMHAkRU+ynCMTAhkg2C12VnhpLhJiyFDozBkQhQ6GnU4srMBB7bUQGDhjstGWRAq4udCamxHeNM+pgKiAaEQT1x4CXIXXcP8bbtrSzYr0JSP+A4j5DYp9AIjDnUe7i5CeNojmM1c69zJcKCqHd/uqcaRevUpqWeJjHWTs1TwUSFY+ec7GuRiIVLDVGwQSsuWoqqKWyQlxFyOdfeej2oPhW5Vu/t6X9YMQlWB+5zclIofjnGLWylGQ4YJsGub0LnpXbaYMqs1ePlAB+T6o4jwk7ER6Rw+dG7w+Gz0e+7+3d0+POWqNC9i5FBNJ677Kqf7PQUpxfjsquHsuHomQEFCRNgSUvn+aEAz7OAhp3YdJieemGQ4LiRK4Lq1ALVvnsrvSKEvP1wGWLlQFGblMap/4Tt9Ib81HzYHp75MkNjhG5kF3mmEwP5/w74V5axDijBwchQ7zv2doKK335wERqh3/F4K2ByQxvti7oUpWPrKAWg7TOA16QElt19IU/277a+IkCX/UpmPGFEpfsyTlm7zDem7YPxPAE8kQtSbb6D9u+8QdNNNvVLQz+p7EQoR8eqrJ7RcoJbpuOMo75WjI9ggSHaGwGiq77bU6RlGdiZI2+ZmdwdTSPA5ve4vPdDMul4Ip2L9QQrB315+Fhaju0vGEz4iIxIGJCFh9vUQy2SQnXMO5MOHM0/W46J6N9BZxV1PnAz4nlj1S52CZDFxi+4i3CS8HF1JNii2mdHWeZRZv1EHIIlJqHZBthThD3nP4YxH22Doo4DRE631myHX+2Dx4MXYWL2RKVv1fANU9uN1IdD5gY4XYvhMCoBq6oDu46hBeC6wvfC4r8UDDwKrnA2ZL3cuttgs+Ln4Z2jWVmFOy3ikYk7v/3isEU3hGsgygyDLDIQo1Pu99bVvk4e8IDoaGpl77tFpt2LT3q3Yt3U90n2DkH7uefCdOfOkFgpykRztxnam/C1oK2DWDSl+yRDH+KBDJcS3FPSnB3hmOwr9grFjzEuwCaUYmP8u+JpD0MubIXGGjxJMZeXdoVuW2loEfX4fsoQxOJJ2Nft/pGSnYsOgQaJuj+vKyAiYdPQNAiE8HuIoIKzMo4v2T5K2ZCHSVsd1YIXG+yCwRxHgRDAeK0b1tdfC5uRiCp5+EtvM3Lr48IY1SB09niluCbVHChCRmgb+WchJItVt9IcfQrN+PZpeeBHWxkbmedv67ruw1NUh4sUX/vL38L+Mf0nbvwF0MExKSkJiYiIjNKnVXqvVYuRINzHoIkvPlt8tkbRr1qxhqlpPkC0C2Te42vodTl8TzwlI0K23QrtlCzp//hnqtWsRfOcd8L/4Yua9wh7L47H/T76vBoOB2ULk5B2GKXwQNpdpWDCVK6HZE+TrOSIuAFPTQhhZS4qfvwJSySxo1G0wmZbhSGkoxuzfhfiGWqY5ODLwSjQFjETpkzmYcHEKkoaFwL7iD/DUarbzzNy0Boadm7FiwcWYeddtkPi4VcRUoc7MeBvVqiyUlpGRvx0mUwN4PAGrnNXcfAt0O3dy3yt4qJ9wE4oFWXDUe1MbQnEXRIKD6Gg42E3uEiRyBYaccx4GzjgXnRotamtroRWIsFgvRb4z9EpcqQW/WI0gQycuKN2GOVW7ILFasa08D9Vz5zAFeIxQhMXfdsDeATz3jQ0vXihASVQXZFHfwapJg1ZwKRwqId6sagI/Drjz6nSoN1Qj8LIBrE2nJ+x6C9Sba6Al83Ub9351OY0s1MI1MVAMC4V8aAhsHSamujXXa5kJPV3a1WYvlUFPlW3H0hIYi9tZMrfLWsGlziVVyX8TaN8gn0canqourcmKY42kxHWTuaSkI+9eT5Cn547SVuwsa8WN4xOY6pDIYarAZp9zHhtmowHVBYe71Q3adveks72uBtIeyne9uovt5wq/s9/O6YmulSvR8sabrBVHs2MnEpYvx/afS7vrFbmRG/BJFA+GihhcH6o66wtIFsp1oQJHfiiEoSkDUnMgZuXFYFRhGb7oeBWv3PnTGX1P9v0/ouWwDyw2MZrHZLCztxkOTJ3y9ymcHrlmKKLe3IvzDDwIa/XQ72/C46Mex+GWw6jT1kFgrkd0nhbO7jDuc4isMMa0QB/fgLqQdhyhGIgSB2zFFAfhQFtnIBTWLoyVmjHEUAm5nPPl2tT6IRKz8hkp55AJ8FyuHXaHe9DrjVONxk0V50IMEYSBUihHhTvJX+6YIpNxnrIuUOGPujU8Ozb8wxQYuyAJWyVm5O1pQEynHXFWPiOn8qV8yMVy+Jq5oope5I+I31Zgxs3XQRTkLMY0FgCfzwTMWigGXII0QwIOKI+gzdaBWk0t8yL0skcwnZi0pWPBy2uK8PVu5+L0JOpZImWJzKbriSGKPtWzZxoWSxdqa79h13k8MWJjr4dUKmOBgC6C3BM6k5URuC4St6S1Ceu6ctnSlewyrBrOa9LuK8aTXQb86jDh3kPfIMTOndeWJk7ANy1ioKV3MKRCLOBIXH8ZInykiDygZt0LhIQxYQhNchfN1h9pwu0/5LJQPVdh+MtrRjDf5jMFWhTzVRWMDEjTRGCLmCNcchp2nT5pS5C6P0c3aH5wvGOOxQD8eBmg5ayXEDMamP36n2oHd/nZEhIkNigU/3+DMPuLtnotju1p7FYikp/iPwWK4WEQBsqgP9TMFbT4PMy9YzCWvnoAUR5zcAohcyEmIwCXPjmSBYn9U0laIgvser1XUjr5ywbf6qEo/xvRF2Gr27sPAh8VpGlp/X4esSSUkbYWSzsLTT7TYWRkjeDys+XzxQgK6k1aTbw0BTKViBFS5CPaV5dXY2kxW58ERsV03x4YHQuLyej1nUQOSEdsZAiSSl9BoEQPnqwWyHobEHLrihMStoRulS35pF4Gh80Bm8YMW6eRI2E7TFAMD+0WllhaDFxIhQPg11ngXwdo4e7e8focxt5WICQ06QUBD3ypgN1n5bVDb6uEWdHAOjhVqgw8NeYpXLv2WrwX9hMEQgHuH/sggv1D2VqFBu/gR+Bteowdhh0OISB9GDxRhpfPq/+FKU5VL6foZddN3KW2rZjdRtSjQpHJfOHfPPAmI4rvsLhzBPqChTysG3QwHG1D6G1DTp6FeeWV8F+0CFEFBTj603fIO3oYnU7BgFYqxj6TGgU/foGMzesx9r0PIXD+jj1hbW9nYVrnqGNxFFynxuevXIa7ZRcg7InHkTokHMnbulACO/hqCzpDBIx4JbQEDUF4bj7MqQ5OWZuYCElCAsQe/q0C/wDIhgxB8JYtGJb7Cg5n3gS/ACGyp41H5y9Luh+3LX4oeM71xBBfE5q0lQiv3sPd4B8HBPw5f/bOZj3EUgHz100b03+VrSG/ADXXXw9bF0fSOtIGIEfigMPIvdmR8y7qJmxpTff7y88ibuAQzLnrwV42eX8F6DxAoYrKsWPR8t77TFxDPrmktP0Xfy3+uxiO/2egDX/AgAHMC7ajo6OXR+y6devY7RTqFRb217Qxm0wmbNu2Dbt372YksQvkY3vOOecgPJw70BCJo9mwAa3vvY+gW26GzyyPxGKnibtdrYa9qwtNzzyLzp+XMJ8T+bBh7PPddPMt+P7XZWis5Ejh6rISGEsr0GSJhc3uVgj6SIWYlBqCaemhTE3lK/vzHk3HQ2trK7OAyM93tZtMREh5DYYf5f4uTp7HCFuXmXjRtjpG2vpffhm6tDpov/kaYpMJMpMJyd9/jcMrfkfATTch/sorWCsB99XwEBt7Izt5Fx17HFmZ77OgMwjA/LUYacvnI/j2O1AjGgvHfm5B5xMkRfzgYMRm+GLFa3dBq+GUsi6/1ezZ52PIrLnsOkHl5w9TYDDuPFSOaidBoajRIWx/CS4s3YKp1QcgcipiCDFVVcirqYG6XIhKbThCYhYg2fAblIY2PPWjA6+d70BuMh9C1VFk+CxFHu9e9v9eryTiNgz3XudWSrvgsNmh29MA9cZqpqR1ga8UwXdGHLM58AT9f2GAlA1a2LpAky6OyNVBoOz9+9N9VJSmwAwWmpHrbi8WBEpZSxNZK8jSe1eP/1tAnqlDYwPYcIEKG9SG7KnKza/rYoFAtFb/aFs5NhU1s5RzTzWvWCpD0rCRbDDfy6oKVBzcz1S4mrZWhMR5q/vzN67Fjp++QVhCEvPBJRuF0PjE0wrnOB3Q4qvx+efR9evS7tuWpw9G28YqRB3jWpzVklbkRWxCsDYEOmEybp9yGkE8ZwBD4jNRH/sZI20JY8uGIbWmDI27j2D75U2YEHyGjtsWA1Zu3YwkixBtwVmwCTmitk6uxo0p3v7hZxN+vlLceNlAFk5IoBbc0AFD8fKEl/HsnmfxwrgXUKjWstZ0WvxXhhzC55o3YRVYOKlwRd/P6zBE41jHuRg/aBtiYriJc2FrIZqtR9BMeSTuTBIvrGpbi0PxB/Fy1d1IPieNWbcYtO5FmVTqtis4GR6Zkw7H7DTUdhiwO78JR462YVvyVXirWY309kosKN0Klf8IqFWxCF62ElE3Xef2a7Nyfq+8lv1It87EARxhfx9sOcgFyAhVzC/QbjfBdAKl7eZjzXh0aT7qu4y91LOeBC3ZG5Ady9+FmtqvmQ0QgQK2pNITL1DIe9hl80I42mbC9rUOaCzA2IjReHHhPOxu6sJ1VXUIAh9jd+5ECNkB0KJNEYDvBkw/7nPrzDaUNGvZGGUUItLInUPa+Xa8UVgB+2MVLGQy1FfKVLYurmpEfAA+XjQUfvIz23JI2yAVD9TrqzBQmwYE5LHb81q5beKMobUE+H0xMO9DbhvsCb6Qs1OozwV8o4GLvgGEf04BeqCZs+AhJErs/5K25G39e3l3bZ0IW+kpBLaeDUgSfNlwISBcgfNuHQTzx4e5G0R8yNLc8w6xVIiA8H/uUlF/8CALHKO23LglP0MY2LtI9E+Ddvt27j3L5Yj9+isvsplgcHpsyjwsxQgSiWeHRitT1qrEKkbeBsu9AxpPB52dB7o7PwICJkAoVB7XzoHUtq4sEYNWg6pDuSg/uJ91cRk0atbCPf0GznqNIPfxReLQEWzNEj9kGGIHDoH1QC7q738Akiw7eHRqplCywt+AQSexObDaoTvQBJt+AWyyIbBqHLCtioHtxx2cYNUDklhVN2krGxCAwEXpaPu672MvXyWCwE/KfIQFfQTnqSZFsWM5Typwkq4COiF3r4UaGn5F7VEuYCvIyOXADA8bjotSLsLSkqW4Lus6hGTGQizw+F3HXA807Qc6KsHLvhIYssjrNem9CIcd34KieNetMBrrmM9xvPBCrKtcxwhbws+Ba2FIFWB+9Pnw5/m57RwMVpgqu2Cp5c7Znusv9v06HEyYI03ygzjWx0s4w/JYsrIwNOs/GGK3o2TF79i7/Be0ODtT9RIRcjqbUHTHjVj4xPPwD4uATatD0wsvwFxdBXNpGQszIwyU2yG9VQSjkIdtSUZcu6MEYU6LhCnbylDC3JyBEXk7IcBA2CBEa9AgJOwTQj/Ripjfvu9zGxUoFYh67100v/Y68PnnGJb7MngOB2pv4QoSjSHD4ODxcShuMOwGAfgGGxyRezFjxROISxqAl81ypIWenMQ+GVKGhyF+UDDKcpuRMKh/+yfZTdbceBPsWu63EQ/Kwv7UOOiOcdss5ZKMuehydt1s0GP1u68zfobs8H566mHMe/AJKAPOzjGQPHJDH7if+esaC/IZee4Jc20dRGGhf2unw/83/PtN/gNAatrAHhONrq4u5OTkwGazMTUu2QlMmjQJQafgGdMfEGm5axfnQ0cgv9kZM2Z02xd4krVkQk6gdn7VjBndJA4lsCb8sQItr72GrmXL2W2moiJUXbEI6rFT8fvI+VjVYEWXwQ+x/ESMFlVByrOyMVlchmahGuEZYzBtYAyGxfkzv8SzgZaWFg/CFhhQXYNB+7jvoipqMuoi3T5vFjiQ19SGET8eQ+DMOCTedw9Mi67A5ldeR+SqPyC026DUqGF+9RUUfPM1Yu66C77nze1WGwcEjMWokevAp4WTEyEPPgBDeyWCL7qOhdxMMlhZC0fqyFBkz4rrnhCRWnLnz99CqlRh2Jx5GDxzDiRyjgDV5zVDGCJHnhy4Kr8CHVaOmB15rBRzfv4ZY+oLwHf5lNFBVAhsGshDU/YIyHQS8Owm8B1ytPoPQdvIgQhv2I24qjV48JcOfDPFgdXD+Jh5YDpC/XVYm80RoK8drmHbxf2JEd0neEN+KzpXlHOtRS5Q+vD4SDbR4TsDgvoD8r4VpAZAmtrbo5CIYUmSHyNuLZSo22OCZmszwkAjv5VN1DxJW0NROzp/81aS9wVqSwq7b5jXbZ1k85B3cu9Jes+eNhAEClyzqXuH9vSE76x4L4WLtdWAlk+cCykniKqjuCZXZJODr4JaLsfDRg0O2q2MqJj3/k7cOjkJt01J6rUv0T5NJC0NqtZazeZe5DuRubTqbCwrYWP3L99D7uvHJtrkhRs7MLt7+zvTMBYVoe6ee2Eudyvo6idPw/uzL8b1693k1s64pbDyrahsugxvzE/rDqA62yDFpH9cJRoPmOCwSdAUko3k0iUYfZSPP+rVZ4y03bDnY1iLna2rxnbU29UI4augis2FXH4e/k5Ik/0hHxbKVLak/iAlfNbVWfhpzk/MAibgIhNbfMp9xHg/byeshzgrmhPB7uChrCseKw7txa1Osc7xuk4otIqlP4MPgZWHLH0yQqOjIM3gzqlGg9tDrqfS9mSg5yXVZfTEeIAGnTc05MfajjVLYpDWKIOdL0LL1qWIusn5n0QyIDIbqNkLXlspBoXdCE6DCuTWHcB5ieex581If4MtOCSS3ttIh86MZ/84gqUH69zvXSTAvTNSsGh07FlRz/YXVqsWNTVfsuvURRIX6/oi+o+0wDR8MuMTPLrjUTwy6hEEdBYgYMe7GOEzCUeE8Zj1h+sbBJquvg2mOm5BnRKqxHXj4tHQZUR9p4FZzdR3GtmlzWJHltkZYgcHVsnNsDpVVkSCexLh5w2KwCsLB/5l3yvtH0TaRqhTERBsR7uNjyJ1M2tjpTCYP42aHODb+Vww2Y+XA9dv4CwUPEGvM/tVIDQDiBoGKP8cyUPBR6SoJ/gJ7AgWyCC0BJCfxf8s6ks7UXmY8wMluxeyRvhvgCi/Ba6Zm3xg8FmxuLCYTWz+4SosCzwW9mTnRB1CJwMlmHc8Q56xFtDMt+mllxDy7DPMO/Vk4PMFveYxJr3OS7xyPFAnk0jsJvVoPmzUuwyLTgz6rG2ffc46iGwmE8qvvRaRH30IUUwMI2vz1lWjeF8jBowJx8jz3cUXUlKKRR5e6KYmRIhSsGHOmu45HJGnfb5foQgiqfeO2ddja6tWwGrkzrN+iinsMSKJBCa9Awonien6bahji+aKFQdzUH+sCA4PyzYCEbg9MwkuuP9x7vuy2dDyzjto+/Aj9nfbMQVUUc7jccGvcGRdxOzViFQ012pYyzwRed3g89C5rIzadsh0hruts28/d1LbetKv1L1Hx2NGzLLhJmlPZrkm6iE86QmJlFsTEUhp68LdQ+/GRakXITWgjzwNmi9c9BVOB1T0NRo5z1SZLJZ913dk34EN1RswJGQI7h16Lwv4Oh6snUZmX0cCF0+Q+lazsZoNEt3IMgIhywhixR7PDBOak6WePx8p581DzZF87P7mc9RWlHbvIxQYR9Dt2I6OpUthda1HnJdCMw8zO4xY7auAGXzsilIjRquBJEyOGf5KfNTBrZuOxg/GJJkPKvJaYBYIoBaPwLABj8NidMDiUcGn90MKbwKtvYlQlCQmouGpp8hQmRNJ8XioGvYIdIoIzK0Ajl3ghwcPdWKd7BgTElRZ1Ai7ZAUgOTP2SGQfMmBU/1S2uj17UHPLYjgM3LGPRG9V0yeidtXv7G+FfwDOvf1+duwikKr2/Hsfxe+vPguTTofmyjJ8/9h9mP/QkwiK+fMBqv2FNDWFDU/YTSZUX3ct+HIFwp98ArLB/0wLvv82/Eva/kNBClsKtdJouANSQUEBCgsLMWjQIEycOBH+J/GL6S/GjRuH3NxcWCwWjBkzBuPHj2eKX5qEqNetZwStqdgdYEXgyeTMZ0UY7D6JikJCEPHSSzDMPA/t/3kRymquVcdn50ZcuHcHLKnT8HvieFQhAC1mFWb51sPHyJFgIdYWSEs3YMCk6/9SwpYIcIGH50t4uBGhoSHQaLSY4O8P3184A/LGkOEoS7qw+3FamR3ficxQ8x3YcqgCj+Y3YcjISOji/TDmoSdRfPXVyHnlNYzeu4P7Lpqa0PDww9A3NCBiMecXZ1OrWSqnwhnSRgvKtsZONF/aiE7Rh8i0DIBE5o/RF4gQPzjOa6Iz5Jy5LEBq0PRzvFofjMUdaP/5GDZGiPF4hoRNuv3UXXjx6w8woJDzEHbBIOVjdbYDq4fyERSZhC9mvQY5T46KigpseKsGPIcADp4A9RHj0BA2ChENO3HxjrWYcqgLPrylkA26Aw4esD5BBGleEd4uaYZ0Hg+3J4aj7bsiGAu8E9ApedhnVhyEfmd2BccT8BFwUWp3IrelSceChywue4UGHeD0kiO7BE/Q421d5n55EPaEw2Dt1/8lv6yeYO1a/fm/ZluvxPP+/D/6lP+5Ohv3rCtCYb2aeV3u2liOuF1NGDgsAlFpgce1juhpZE+TbKrkku9YS3Vl9+36rk4UbtnABm2LaeMmYejsCxAUfWZaP+l1O777Hs0vv8z8kQg8uRy+jzyCC0KSMfKgFr4G7net8itElX8hLF3DkB06gBEufxdoP/X1j4cy4hA0NSNgFSnR7p+GoPZCtK1dB/vAZPD/ZEtpl8WKNTu/xXVOwahB2ILv/IWQQ4u3s8sYUfZ3w+/ceBiPteOIxohXjtXgyQ1ymOo3Im/tSqgCA1lXQObk6WzhMj12Ovg8fvfIq+7CB1vKcayRFr30XfEAOx8To3YiUrwJdvujTJX66bRP2f5uq9HBXKWFrVoLv3MSGMnggrXLBPXaSuYB6DqG+vuPZjY1BmMt/P16h2SeKoJVEkyICkC9NgAmPtdRoJ55AyoNJuzp1GKUnxJxMaMYaUsYKreCb+fDzrMjt9HdTh4SMrPP/WBVfiOeXF7g5fs6NikQL84biJjAf17IU13d97BaOeVMaOh5kMncLbGnAlpc/nrerxDwBdBtfgOjy3/FcvyKpWVTIO7kQstEk6fgqRaa+9hYOyl1FWRG+vb5PVIoW1WDBgUrq2AQAOfEyVDXqWekLhG8dD89x+JJibh3emp3kfSvgMBHDL5cCJE+CIlioN0AWBx2FLYVYnDIGVjMhAwAVOEcadtyFFi2GFj4Vd/WB8Ou+fOvB6CorQgGK7e4TLUFQlWXCDsRJ6r/zSAS2ub2/OZuUR8xJx7Cfvp9/p0gOyv9AXdBWj7kzys2T/Qdkcf+gVXLUX5gXzfRt+DhpxE3mFMmEmoKDuHXF5/s13Oe6yRo5aNGIeyRR7D9p29wYOWyk/4/Unpe+OizXrf98Pj9aKvlVIonwsRF1zEBhQvajnZ8vPjqfr3fq159D1HvvI3qa66FsaAANTYTVj39YK/HHVjODRdkIhXGTYsDYtwBlts+W4PivZzF2omQOXkGZt58h9dtn952LcxOcsgb3Py6gJUav0H6xGtRVxaEc28eiIhkPzSVl7Dv6XgQSWWsVTs+exhbR7qEKy5YW1tRd9/9LCTOBcHAC6EL94NFkg2zNgyWp3ezAnD3Z9davEhbUn4S4UoetS7Q8dWLhPXnSFkifF3QWXSYt3EeskOz2TxkasxUnEnIpJF9krZKsbJvwvZPoNXQinf2vwypjocRCkAucwYWq6LZeTTeJ/6kdia0PlON6+0D7Onba9daoNvbyAZZQJAKnzxwpSn+3cUdep2YjIGI+c+bqC8uwt7ffkLKqHHd5KJ69Rpmn7AjtXfR3D8HcJk4UOrB+9ddips+/BpJ2eFI29iBo7BDVLIHRR3u7SVHCuTcfVev5yKi8qpX3vW6zW/BfIhjY1B7+x0s7Nso9mWELUEk5uGiOiuGG014X1faXUD2l559azjKBaL36Fr/UICi6fqrkfPWS+xvEsmR/UFP27qo9Exc+syrWPqfp6BuaYKmrQU/PPEAzr/v0W4Lhb8DbZ98CksVdyytvPQylnkUcs/dzLbmX5w+/iVt/6Gg0K877rgD+/fvx/bt26HX69mEJy8vD4cPH0Z2djYmTJgAn1NIRCXf3MbGRuan6wIRwwsWLGBK34CAAI6sXbuuT7JWOnAggm+7FYrx47tPBvSecqs7sa6wkQWJlbXowB9yE2b678XVR1bDx6KH3GrCOVX7YD5/IaZkRWFSKmd7QET0ypUrYTQSeRoKv79oZyZFLVlAkBXEZZdxpwe9vhK5By/GwIGxiE+4Fz6lStRJJGjxScHRdC7hm5Ai4WO/Dw96s4MpdMpgxw12La7aVYGoLWJYbA6MuiAR8z/5AK+v3YKELz7FyCOHoJPKcE/KUCyz22E7ehR1d90Na0sL4n7+CUbfKKz7rBDiqLehiuL8fPblXAA0XIo9P//ByNkp197cfcKjyuHw8xZ4fSbyfm379igLT/05XNCtkhgcHY4MdTtTHRBsfv7YPFaK75M6MKBtOiY0x+HOqxd0n5TIniPk2XCU7m7DoY01zHvHwReiLnIiGsLHILJuO4Jr1mNg3a+w2Odjb2s7BHFfgcc3Y8naS3HZldeBJ/SeGPieEw/VxL9eYUJVcXGUig0XyNPK2qpn1go9U6zp8bR4Punz9rHQoslKf/5vXx6/fGpx60doEL/H67KJaT9ek545JTUIvyWNxbubS/He5lIMtQsxnObj2+vRsr2e8WDCIBnEkUqI2HemhChcCb6kx2vyeBh78SI21K0tnI3CwRxUFxyC1WTqDjMr2LyeEbZngrS1dnSg4bHHod24sfs2SXoaIl97DW86pBAU1GP0MW5ybuNZmcrW4RDB2jodT9/S26bjbEOpTEOeQMAykA0OS7f31oSta7D/xqsxwq//4QN9YXllISIK3SqeZVGTGBmTFlKAyOCzV00/2XZfMjoEN66jKTbw2OZiPDNIDrvNiq7mJmz5+lPs/Pk7ZE6ahiGz5sA/PBKlzRo8v7oIG44SYUD7DXf8n5wajIWpf0Bi/In9XbdxNaRViTBXa+DoUdigJGhP0lboK+ku6rhArfpS6ewz9lmNOgtWvJMHk4cFzMH8Tlwcwx3Ln06KwE0xY4Cdb7G/fXnFSDRGoURWjQpDJbpMXfCV9CYam9RGPP57AdYd8QgalArx2Ow0XDQs+m/fzo+H0LDzGIFQX/8T4mL7F2qlNWuxrGwZLhtwmdfnIsKWrCX4hVwBtaNNgbScInadWom/GDwPugruOHTZiJg+CVsCPWeQUoKgZAmG3hXECmA9vdENZhvMVjt8+zhmn2kwK6BQBewVVqTABzngWh/3N+49M6StRAVc8j3wyWSOuD2yDNj5JpA8k06KQFgWzjQoRCZEFoJmQzOGNcxEWOcECC/++/y1/25U5rehoYzzICT/1wGj/xpLs7/i2O13fiLU6yohjiPrhDM/DydFbdHOrchdtcyrGHym4HfxxcyOjQLI/htAoaoxn36CqquuBlrc5N4JYXdAoHbPdV1hZH81SvY3QyD2w/K38nDFs30XPel8npA9jNlpRaVlHNfLVJ+TwzqpaC1EEKeeA0nGeYBdgI5uq6TeCmBLbe/bKFiPJ+BB4C9lKtmec9m+cKDpABp0DVhZvhIqkeqMk7Zc1wzXzkHewydCvbYe4YrwUz6v6y16fH3ka3xR8AX0Vj18BSIMltkgk7vn4gm+fy7QnIhcWi8YClphKu5gghcCeerqDzazQesp2aBgBFzorbCMSBmAeQ8+ybgBF4JuXQzHnHOAT9/p93sgkn76fiWOdrmtAU8XpFgl65SKBReiXZ7efXsSj4c5xSb8pnQHvY2J8A6+Ph2QnSJtBv21xjHX1KDmttspHID9rZw8GcpHH8LyJ9zFkQmXX4OoAX2rpgOjonHZc6/it5eeRlN5KbNN+PWFJ1mhJn3CnwtTO10oxo5hXdrUdU2dm5R5ROFlIfffD995F/xj57P/dPxL2v6DIRKJMHr0aEbQ7tu3Dzt37mQEJ7XvEJl78OBBprol8vZEsFqt7P+TFQLh9ttvh1LpJhKSnX5KJGevvPgSbifzgHQQkbW3QTFuXPeORqnbqwoa8fG2MhTUeR9U7Tw+VsePRkXmKNxavgGJe9cj+5VnMXWyd9BaVlYWI6fXrl2LadOmnfGd2EXWEjnsOoFQWBeFb1VUvstM942mcrTpyxExfjFkr32Jgh8b4ACntIyT8jFAysf4KwfiPBkP9/6Uh6ImLSNES412BDorwTt+LkHp/mbcecUobBqejYdXrIVPawvOTY6F7uclzMvHVT07+Mh7yI+cD4vJBplhDBShheCLulCXp0HN1j/YYw6tX43EoSNZO3pfIDVZ25eFsBtNsLcW423DOFwl5yNTLME7g+Khvf56tH36KXyvvQqPqjagrlSP84puho+Js9YwlAkAj6TagCBfjJjri4FTopG3vhqHNtfCSib3fBFqoqegLmIcBhz7HkPCDyJb1oZqgQ5qoQ4dog8w4/vd+Hz2cwiplnZXvbvWV0IUpYQ08exX1GgSR5YIfXnZkp+V7BHvbfBUlIQ0Tgeht57eopwmTeH9eL+uFjSxkId7pqdgWloI6sifzlOk6wCsLQY2kOe0GeBxgSM9SS4XfIKCWQGBBi26qP2p7MA+FO3Ywo5BpJzsGWBGk/VTtU7Q793rRdj6X7kIIffdhwKTFZ/klmBurh4CZ+ddXsRGqGWtsLROxKVDs5AR0TdpczahVKZCrczBD0oTavk2/GLiKvbpZWXYtmMtRszxLricKnbtew1XF3DHL5sA2BDNbRNjI/dCqVyIvxvkX3d441pkjRqPlO1iFBnMKLfbcEjlnhwTSL19cM0KHFz7B0SxGfjFlIBqSUS3GpD8TR89Nw3jkoNQuiwXVc71aWv1RgSX9vbookUDedudTdBx+493D6G93rsVVqS1wVdnQ5dCgL2dOtyU6E6dFqhzkW4ewkhbwqGWQ5gQNcFr//15fw2eW3kUGqObCJ6RHopnL8hEqM8/u99cKglDSvJjSIi/q09/uZ4gtdMtG25BXkseKrsq8cjIR7zO/bqjK6Ewq1ngYGVuCKROXzv9FdfjOydh6ycX4b4Z/Vcu9SRsCTKxgI2zBVGYHOaKLgzUpuI7wYFuEuGMRXcEJQHzPwF+cPpBbnga2PMBYNIC8z8C0ubiTGJi9ESsj1yP3BdWQG4QM1Xbqdgg/X+DrtMEoZgPq9mOUecngn+WbL7OBBRDQ9k40yAF6qH1q9ic1qDmCG0XyHcxOJabU8l8vM/j9Hdf81+yFDAUFHT7PdIkJvTRR+F/xeXdx5CAyOjjzp09QT79PUGEo0+w26LqeHC1fbtA3Uf9eU2XPQL7P35+iPn8MzRecxWC1dz5hC+TQ5SehfpKHReWJeIjKsUP1kYdBDoBhCb3nNpsakJIfCKzmXChpx2BC8ExvYvrzFPWuS7pC1SUbKroAo/HzeeGz4mD0l8Kk47zpBWKxEzlR9fJt7Qn6L3YukzM4sBUq4F+bxG6fn0McIZ4CkNC4H/JRdD3YZdEJCytIUhkIA4TQ6TeDKz+lQtfHHUzUL4VMrKaS5xBLWkAn+YBJz6Wa3fWYWvZ6u6/R4af3lrgRKDwNok4BCZzE/OZ7QtkifNpwaf4+PDHeGn8S5gRN6Nfz221W7GsdBney3sPLQa3VZiFp4As9l6EhU44c59DJoRiSAgb1AFoPNYBQ2ErjEfbuxXQROT2Nf+ix5MAxXM7lKakwMfP57j7SF31TpTxueeNkoey/UnkL8fFtwzD2//ZBLXIB3U+8QgGH1I995phCT6Q9CBFfYK990tdZwcTDJAIShoZyTxY2/zd89JQp+DogIwruBNGhv757SJvQzXyNtYgYXAwRp2fAJ+gExczxdHRCL7jdrS89jpUs2Yh8pWX8fvrLzDLA0LyiDGss/FEIAXuxU/+B3+89RKzLSHBxOr3XkdXSxNGzb/krJOk8iFDEP/LErR/+y1a336HZZWQ0rnhkUfQufRXhD3xBNsu/sWpgefwLIecBajVavj6+jLP1lNRif63gszan1hegOnpYRiXFATBn2jBMxgM2LNnDwsNMztPthQWNnLk8Q8yJSUlWLNmDdra3O0Ow4cPx+zZfSuPau++G5rVa45L1urNVvyUU4PPdlSwgBZP0EfLjvHH1LRQRhxRWAr9P3N1NcQx3i2TlBypXrUKgTfcAL6s9wGtrKyMKYpnzZoFWR/3nypZS6DnmTt3LuLiZNi9h06UdkAQgBdkXyFOJsXMtR1oKeUmluUyO2ZclIyxPBGUo7gJCalySMn4/uZS8GwOTDSIMIRMYl2fnw8MGhyM0IsT8GVdC2784n1oV6xg91n5YsZN8G0WNIYOR0XcbEjjYjDpqiAc3nMfjiy3gPkPkGpyciRm3/gu+PzeVToykm9+Zx/0+9bBXLoODkMH4n79DT9opHh99TF8dtUwjIj2gcVhxUNrnwJ/VzjiO9wMLbWAjp6fiMHTjt/CWlVWi6IdLajY2w6bnSJN7RiR8yL8AmPAH7YIudIyPBP3tsebkuK69FtxRfkIGA9x2xlPIkDwDVleKth/cfZgMFrw5fIiFOY2IBUCNpLAh5ipANxQjotkigUXWFDZx/kQUqAbmzSrWHqtp9cX+Zk1V5QhKi3T67k2fPo+ju7YjMxJ01k7vF9Y/9NS6x9+BNrNmxH+4gtQTJqED2ta8GJ5AysOjSkyYlKhBjqhBj8NfgFyGGGtfQpr7j0f/oozGxp0OtBoCvHLxlvw9B6uxfH9sg8Qn8+1ya4fLcel761FsLy3F3lVVRUrpEkkEkyZMgXBHnYzLrSYjPjPY8Nw/QobDNIAtMePRPXYedgZaMVTMzoQ6D8Ucg+FxdkEtZHmrl6OI9s2w2o2Ydjc+fAbcz7mfbKHCcslQj7W3jkOKlMnDq5ZjsJtm7rV2i60igJQEDIOV112DuZlR3WfH1vX5OKQmCOkJepYxO15GnwfMSSxPiwYgy4pbJDsUs4WbFY7Vr1/GNVH2tnfMh8xVMFSNJdxRcsN0XzsHuOHAJEAhWMzwftgDNB8hAVe/Cx7FK8E/4AB5gQsnns3U3OYTC0obziEH/bkYk1xMJr1HFkQpBTj6fMycW5W2P87NQKphIiwzW3mbCJIcbxkzhKEK93HivLP5iOhZiMLc/ql4ypkbdsDcXwUbp9wBwqbuEXMcxdk4opRvbd7i9mGHUtKMPxcjmD4J0G7px6dv5fBAQeuyHwM7bYOKEVK7LhkB6cwPlPY8hKw5QXv2yKyOZ/bM/k6zPbJhIYX9rHrkhR/BF/rfU74X4Ouy4RjexoxZEbM/7t993Sw5LnHUJ3PBe+5EJ6ciuxzz2dEhKeP7clgOHQINbfeBlsrZ8XFVyoR+cbrUI4fj/9mWJqaUbVoESzVXFFPkpyEY7OeRnk+Zzkz6fJUROks0GypgUlZg8oxnC9seNgCpKe/jJKOEryc8zJKO0uxIHkBbhviDv86XahbDfjlpf0wUDIkdeSNCceURQOOu03TvNGuNsNMHrR1GljqyItW28suTL/9ZdjaSiEfPQqRr74Km0aItu+LOHLW1QUWqWS5FmjIBwqWALlfAwbOHofh3hLgi5lAezmgCAZG3Ahsfh6g7hVFIEBzLXmg87rzb0UQWnZE4wbRiyiT1jB/4G0Xb4Of9MwLS3L2Xwi1+iC7PmniEQgE3nYxW2q24PZNt7PrAdIALDt/2QnfB3232+u2440Db7Df2NPL/8KUC3HzoJsRJDuzWTfHfS9WO4xlnTAWtMFwpBV+FyRDnuV+bbvJhobn97K1A4WbkRduX4FuPdG54zVMKf0CFh4PfnwxNl62uzusbf77O1k3LyE5zh8X5HHioIQROsRmbETCoAf7DD5VtzTjl+cfQ0dDPTvmzL3sOlQvWIjtY19mQb5Gng0rQusxwRSEdQkvQCdWQ2a3Y2O1BuLr1kESNeC0viO7zY6vH9kFXZeZFYuvenFMtx/0yaBevx6qyZNZcBcRzivfehma9lZc8eKb3V69J399GzZ98RErlhFEEimzZOlZaDqbsDQ1oenF/0CzhuOWGIRCBFx1JYIXL2Zk+v861P3kRv93y+JnCbvL2/Dtnmo2Iv1kuHBoFBYOi0KU/6l70xHpOHnyZIwYMYKpbimgbOhQtw8UQafTQUg7vE7HFKz0GE+QapfUuWSDoN2yBcoJE7yS/WgHsjY0snYGT7KWwle+3l2Jr3dXocvgfSLOjPTBlaPjMC0tFAF9kCg9CVs6CVE6vH73HnT+/jtCH3gQqpkzul+L1MTLli1jG3F5eTnOO++8bjXw6ZK1Y8eOZWQ1ESSFhfcyIlJSxMOmMY+isNOMQp0ZXWOVOEdnRlGLFr+LzVi16ig+vTEUn655FCn+Kbh1yK1MyUgKqPuWHMKGRg2KxDbM0ovgT56FduBgbgt881uxoGMHtPs55axGGQV1cBoiK9azv8Ob9iGsJRd+iRfD2DABx1bSl8J99qDMdsiSj+LgwUXIzHwLEon7QGtta0fpg29Cd2A15AaX0gA4+MZ7eDZ4FlvkXv1FDpYvHo2ff/8RMfmTIbK7f4/IVD9MuCSVpQUfz/OXtqstW7awg8ZVT1+Hg98dAK+qDSHDr4bAP45V/0cbBuCyo3fgl/hvYZa2A3wjPit6DUulqXhtwPUIL1KwamzrFwUIvnmQ27x/4zNA0xFA38q1ayZMBuInALJ/PW7ONGRSEW65KAs5IyLZtlrVpmMH+wTwMTvYFwsi/CFqNUIc402qkzKC1GA0KFiKgc9jKjEi4EU0uY5WIbJHmw4FVhRu28hIOSLyctesYEnB2eecj+iMLK/Jvq2rCwJfb2UNtTba7roT7X4BuO5QGbZ1OLdvPg9NWZ0o4D+NMlswrAIzkpsTMHXGiH8EYUuQy5MQ69uIaFUtajRReDNyNt4oeAt8Bw9D8/V459D3eGb0HV42NevXr8ehQ27f6aJjx5CSlY2M7NEQikSM2CF8VL4K4w5zyoKGsDGoDD0HwgorrhyeiE6HLzraHUB7Z3daOcF11fMY6FmZjfKXIUR1eoQWS6k9dAC5q5aj6jC3MHGBLDNuvmQRrh4Tj893VrAi11u/FOLlK7KRMecqDB0yB/mb1qEwfwv0Jq44FmRpxyM2GYbFeRc0FXFxkJbFwyirgMmnBoH3JEMaHHrKRIjdbkZr22bIpNEshEwoPP0iEimPNM5gDLFMiPPuGIQuvQVrXudIicml9YjS78CSaXNQojchhXxtm4+A57BjiswHI4+9BiEECFcOhc3uwG97fkKw7Q1MDAGqWi9mpO387Eg8Pjv9H7NtnwjHU3WdiLC9deOt3YStj9gHn0z/xIuwNaqbEV27hV1vkAQhMnABwl++BWt1bSjcy20zGRE+uHRE30XHPb+X4cj2etb5Mv3adMR5LCj/brDuDz4gCpJjrt9M2EKEGBo6FHbYITiJSuyUMOF+oCEPOMYt2qAMAy757owTtoSu2iOwCwzg22QQhfzz/JbPNmhxnj3z7ymi/d0gsoCOB66AYsLgmbMZacsXCJjHJYXqEoFCNlaWRh2sFm+7GxfIf5+KxZ7Q5RwD7H4QBPhBEBKC0PvuhSgqEqZKbwUvtcuTTY4n0URhVv0B8/73UN9THgEFYp0MVDykeZEnKCiX/IJPBr5CidgvPkflokWw1jfAVFKKqIDf0amczO4vX1eFiJHcOkBoCIRv51iIFUGQd2XCpjUzcmtPA+f3ebAmF63yWqjILuUkEEf7sM40z1AqW6eJdZNs//4YZHorZAIegqKVGDMmnFkRsc8qFkDskRdB32/DyzmMtD0ZhFHp8L94OoJuvZV53QoCHIjw7CajOcvej4AdrwNat02QF9pKOMKWEJIGmJ1zRZpT0HDd5wGHg4dW25coT+KCAVL9Uzmi9KcrgI5KL3KXux4IyPwBsYILCgtMBnzCvd+n3QYIelMoRCC6SFuTqR5yuXeH3sSoiZgcPRmbazYzi5lX9r+C58c93+dHLWwtxGsHXkNOY47X7WTrcGf2nYj3Pb3uv9MFhZDJUgPY8LuAbBa9NX/G4nZmYWUq72Kjc3kZW2NQiBnbP/h9799+gxfh0pw/oOXJMNEmhKVCDYfTYuOKqEBYq7n9l2e1gVwwSOxbu8uMqI/WouOXqQiw9VYZW3lmmPScqruh5BhW//AF0i5dDFs9JwIrFzpQaQyCr6yNEbaEoUYTxDYLfvmoFecs1h13rXwiUFGfCFtCbGbgcQlbc20txFHeNoI+06d7KWcvfOw5Rt52E7aGTmDXO0DuV4BJA5DanAaFjLLrIvAn3Iep193CSNodP36Dubcshu+KK52PEbDH9L7ufJ5JDwE+Hqr5hkPAsTXcY6Q+gCyA2y/kdBnAXYrkfXvne0AUGoqoN9+AdvsCND77LFegslrR8c238L/oIoj/JW37jX9J278YKw65fW0o0fitjSV4e1MJU91ePDwa09NDTzmxWKFQYMaMGZg6dapXsBZh48aNOHr0KFPiEgnnAlkCnHvuuQgPC4Nm3XpUkGdtSQnCX3wRfvPcsntJcjLifvyh++/yFi0+2V6BX3Nr2SLcExNSgnHzhASMTgw8pcUbva5+P9ceSJOUurvuYpXXsEcfhSQpCU1NTcx/lkBBbN999x2GDBmCmTNnQtojAdUFIms3b958QrKWoNOVobFpORRb+PBdIoQydz2El1wDu1CI6wP98LC9ElqFFTYe8MTcdKQFKyERSPB90ffYWL0RT495GmMjx2L5bePw7qYSvLelDF8KTLhF6gtpE3eg7rI4sEs5FomTBkHRXoj8oBGo8QU0Q0Jw+dpl8NVpwbNbUfX7L9ibvws25yQ3blg8/IZyldTOrhzs3TcHqdbXIaj1gbnsEDTbVgPtlZAb3YStJnsUnuMP6CZtrkwIxa73D8OvxU1yi5Q8TLo4DcnDTkx60H2lpaWs9b2zsxM5W7YjOzAOxkYBPONXLW1FiJIm4uqDT+BQ0AHkJvwMi8CEDuMx3ID7cWWkBFc1R8Oguwetn3HELQUDoHgd0JTPPUltDrD/c+pb5VRAiZM5EjdqOKVj4b8R9L2Rop22WaqYkUdzz/3zbGN4XABW3zke/1ldxAouxbCjuKUDn6g1eGJOOhb2IDWYfQJtjp67ut3BQt5ouECtsEHXZHTbUNitVqSPm4wj2znVJW2QZfv3shEcE4ch556HtLGTYNi+HQ2PPIqwJ5+Az7nndj8fVVpp1Kv12NXJbd+0pd4UocSU0tsR1daBdwNacMQiwSVJj2H6cUibvwOkpJDLEzA+cg++L7oQxdIYaOJCoKjWIEBrROO671AYtwjlzTocOZQHXWUe+HZ3G7yLDD2cdxBP7bXCxPxdOYTH/ISbqonC5aHB2c5nsdmxeGU+dH9CZDogTIXxyUEYlxyMEXEBJ20TJ3X1ka2bGCHf0VDXK3gka/J0DJ41B3yeAHckhiAypxlDzTwEVVmw/vmdeA1GfA4FEjAAceEpqNMX41jXfljtJkRJY9mCUORsIaMgC/LJThp+Lxx2CwICxkIs7m2P0B9Qi2J+/mJ2PTRkDiuEnS7kPmLMvzcbaz7Ox4i5CQiKUiHQ4YBRYIfUxodQFIS5277AkqmzWSBZCvna0jGOFiXBVZANm8OKHqUaEx78Zj/sBj3uzOaeO9pXjy+nD8ek1JO35v4TYLdbkZt7CYKCpiIq6oqTkuEUWHXHpjuwv2k/+5v8BD+e8TEL/fBE/u6vMZw8WMnvVTkV2Q18SEbE4/X33fOop8/L6LNjqfZYBw5vqu1WRfsG/7P8VSkQJ/KZsWzhex/610p9WqD5xLwPgSVXA111nDWC50LsDBL2hY23wDy1BRJ1DIaEuueN/+J/B0atFvmb1jLbmxk33OYVKEaF23GXXMl8FVWBQTCWdqB9STGMR9tg9/AE7wlJkh+Cr/f2YbZqEiGf8ED3351/UFeXu4PQBd9z46Ga4CZDiDht+fBwvz5L6F3Z4HuQSRSu2fFLyUn/H+UWRDzq3fGo3lAFw2HvgN6+IB8aioCFKYj98ktUXbEI1vZ2+EdPw3ir8xhnsUG3gzv+CWxyhO27ofv/muSdiMqKgkwoY8fYrvoWGHdVwB3PdXxEPDEKPKefd13dD3DsUwF7uWI6iy9SOemBTiPaPs13n++jVV6WX3Q8Iz/Zno3yPJmAEcNMRUsZCpEqQDAEQpWb8O1ejxABSufKfR8Drd5ZKiDFZcY8YKDT9uUw53XPMPhyjsiKGsGJQfRtgNGbxCdYHdE4LKuGg8ctlEaEO+2Lmo8CbW716nEx6z/AKA+/9q5a4M1M7r0RqUvElXNIQ/WcPb8DMK27F/Ip73kRvrzmo3hMmoD9/F3Q2E1YXrYc58hjMC54CEcG03+kS5EMSyp/9yJsB/om4d7Yucgmz9rWSqC1wvl/CFzuCvvHLwYI9rAPosccW+1+brqk4Epae3kUWU4FHOHP6+27HCiFrc29BVIWAQ1PSBJ8EXyjh0efMgSLum6H1ch1m3V86rYroF9qBJz7ZC2wPUAEfnMrgutzwNOIoN6xFbZDfn0GSl9w0UP49ftnmc1ATfFR6KPFcDhSwePxUSnittiQqBq4aP7RBiNqzVno7DTj99dzsei5MRD1wyvZE0d3NnRfTx/bd7ch2Re2vPU2ot57lwnnjgcqdtFxkynCqJCx6+0+t28vWPRsv6IcHCqU+YpNwFp3iNsJMfpW77/rcnt37fQEKckDEoBbe7xG4e9AZ5UX0atMDULCD5+i7fvf0PbJZwi86UaIY/83i5yni39J278Yz5yfyYK3yFJga3ELaxulY+b2klY2/OUizBsSxQjc1LBTUwH1JISIMCKfW0/iUqVSYfr06cjMyIB2/XpU3HQzI01daP3gA/jOneOltiUcqGrHR1vLsf5ok5eKS8jnsbT2GyYkMA9CT+PtlhoNAiIUbHF7InKQfEwSli1D0/PPQ7eTSz4l1W35BfMQcPnliLrtVixevBjLly9nNgkE+lx0/fzzz0diYm8vqoiIiO7P3RdZ60JF5TuQFDrg84sQVoEU0/fswuYhwzF44mS8/2UeOohM4QGzs8JxyfBo1pYzyyZELl+MJn0Tbt5wM2tJuW/YfbhnRipmZIThw61luO2iQSh78Tvsrw2Ghidh584KKDE1bixUdgeei5dge/IcrBo3BRet/wOzd6xDbkxwN2GbYPPHKNtMSDMvR2HJvTCZGmGva4fhQAmEAiJg46EYwZEPDosBnQ4tDBGB+LXVDAVs8IcdF2ZEwGdnuzPihLyF7QgaxseCy8YzZZgXLEageA1w6EegehdwzsvgD7qEfb+ff/ApMg1RSD2ggNFjUuywtlPvKlqDIqG2JIIPHoa0DsPw9hQURGzAjojdTAn5jcqI2dpSKLrAKvetn+Uz4lbgH+smbbuf1A7U7efGtlcAkQI45yUgexH+yaBtjYjt+vp61NXVscv6+jqYzW5lxYIR0chKjACCUoDARKZ+p8cFBgTAV+KAQKIAKLTqL26jlIuF7Dg0Iz0MD/xyCPVdRmhNVjzw62GsKWzEf+ZnIcTpmylN9kfk02NgbtAxLzJSqJjrtLA2672K6rTgEgbIvKrCUy65EWMXXoH8reuRt/YPaNu5bYeCR9Z9+Da2fvI+ouubkahWo+GJJ1mwYc9K8xAfOR5U+KNwZz0uuyIDkUffgqRWgyirFa83t6JBcjnCrhnRp0fl34mszPcQHCfHtiN5GKcT4kDsU0gx/YiI+u0Ir9Piis/ew1izGEF8vUtsAJNDgIPWSEh5VmQJGpBrjfIibHmKZmgVZbjjJgGmF6RBJQxgt1cK7X+KsCUUUZdAo4YV5MRCPobH+WN8cjArJqaH+zAbFRco2GDJc492+2u54BsahiEz5yJj3BQ4akwwbG1DfVEVHAYrZnooBzfAwgIc18KCcyEGn8dHTFAmkoeOAWLF8BkQ4RUauPXbz1F/7AjCUwYwZVZw0On7FhsM7iRwqax3cvGpQqoU4fy7h3Sf3+hSEu8DlGpZgKMEwUitKsfesABcSUpbgioconA/OIaH4f0tXFAgBVjGqtzn+4uz5cj6LyFsCc3NK9GlPsiGWn0IAwd+eNzHmmwm3LnpTuxt3Mv+JksAImwzAjN6HVN9Cn+GzcyDQOxAgGYyI2+kflIsuXk0nlt5BAqxEMPiuP3AE2aDFZu+ci/0Rl+QCP8eSr2/Gz0XufR5zeZWSCS9bVH+NMj7cdFv+Kvw+M7HUdZZgmBzJ2aQAMcmhbBH8Of/AkwGKw5tqMagqdGQnIVAu38S2upqcHD1iu4OG8KB1cu9SFsK0x0576Luv4nE1B84joKyB6iQ6ana/f8O6kiM+fILZien3iKCw3p8UtsTZK1CqsvX9r92Wq/rcNhRUfkelK3DEYT5p/UckkQ/1gZP5KwwSISO7z+Cfu9OhC79FUJ/z7T747SJk3iDbBB6ErakdF28F/BznrstBq4Yxe5Tcj7d9BjyuXXBZgH07RyJq+OIXFOhFYfqt/X2s3UpDHsU0XuBiFlP0Ptgr2XmhgeRFt3BRxQfkJjs4Ds2AhO9LaFQuQMh657EfUoFngzmitHPHHwTv9U2QOG52A4egMXXrMCqilUIlgWz33j61vfAW3Y3u5sox4pYOeRGG5RaK1Q6D9X6qFuBWT3Ith8v7f25/GKBQZdwhHhg73X1qUI+KASygcGwNumhz2+FsbAVlkZO7Xoy8IjY60e1oSBajPEDdIh9dhn727z1EBR+5/d6nMNsh21DBy6YfD+WrvsPLGYj2moOQSC2QiifgQoh930ZQyu6az9E2jaruXDfsRcmnzJhq1ebUeks1BAPQkpbr/fkcKD13fdY0Duh9vY7kPDHCuZpS6rg7d9/ibGXLIJM2YMLouNgxTb3dkYKWVpXUoGbtnfafmnQddofnGCWCB7Kc9q8drXGIEXVimBpH78L7QueONl+QbCZuNETVFxxdft4vgRt2qy45gOh4QNgi4ZT+NLLGQwssMxvZDj4A/rn9fy/hn9J278YtCCelRnORkOXAb/sr8XPB2pQ084d9Dv0FtZKSmNwtB8jb+cOioDyNAIdiMTNzMxEfn4+u04hZuPHjYNpyxZUPvooa7vxBOdZezv9x27/XSJpP95WjgNVHh5CtNCSCHHpiGhcMzYe4b7SXqRsXUkH1nxUwK5L5EJG3lJrAbuMULLrdBBzQZIQj+hPP2EBROR1YqmrY3L59q++QtfKlQi5915cftllOJiXx2weSDlMdgnffPMNCy8jD8gYD9sFInJTUlLYbX2RtQStrgRtB/9A0GdC2HliHMq6BS3+IdCkJ4K3sgqHnQeocIkIL8zPAs+sA74+DyNbjmBwcAB2O711fyn+Bbvrd+OZMc9gROQIvHsZJ5eKOycdjquvQ3XKJSgLGYEumQNkBRrI5+P1cgtW+MvxcrACSydNg6yjDAoDR4KkCxKQGX0+bJ1imL6ox8h7/kDhkfvAK20GT68Eehy/eSIZ/CGDfytwOziyrTBUghlXDMIqTT47aYQn+mLU2BCEZoaALxW4j9g1ezmitnCpd8XOogcO/wxpgRaX6ocAdvckhSc2w2+EA+KsVOh+iUHLtwcRFhOFxrCRbLJltftgQO18pDZMxZ6ojRghXY0IoQTaAAls7SYIg+Vcy9nM5xk5zJKuq3cDZZuB8s1Ai0fwnUUH+HoTeVDXcyeshEmA6u9NZCYF+JIlSxj5qne23hwPAfteAvY1ARMfAiY/jJqaGvz444/sPj5s8IMagehEAF+LAIEegSITAsRWUDeNQCzlJoqzXgJCPLyVmgq5ZPDu6r6M8/UilbLoxC3vFPC05u4JeHbFESw5wCnSNhU1Y/ob21jgERVjCDyRAJIYHzY8vaosDZxPmbG4AwK50MvnltC5rBTG0k4kpWYi48bxqNUUI3fdMtaaxL47mxV1fiokN3ZAMWYMS1Au1RsRJ5WwYhChtqgd0u8qkWW0ActK0Gr8AsNbuZmcHVL4Tr/Hq6XvbINZu6iNKG3WslHWwl2WNuvQqjUh2MFDNKWF0TExcSien7cLbT48+Oh2IajZHU5VagtCi08KYkIDmIep1aRDtliBoR5k6Q7zdnQYgWZ/HpqCzoeKs/VCUtYx3BUpg9qWBiu438jzG+mrYOa6idryD9V04nBdV3cxjjoodpa2sUEIVIgxNimIKXGJyA2KjvVKg45Oz2KehBHKJOj3N6Pt1cPd6cKeoKNpIazYAStSRSIkDQhFwMAwRri3fXMExqJ2CFtl0BuFzPuM7DeaK8sYYUtoKC7CyuIiKAODMGTmHGRNndl7MnsSGAzcdk6QSXscV/qB8rwWRA3wh1gqPO73O2hkOA6XcoXQ1sAsTN2/C7+lpMKRlgHeXfmAbzTyarvw4Ds7cKyJFCeUMGOCL7WtO2G39VaM/VNBi/zKqg+6/46OvubEhO3mO7G7YTf7WyFS4MPpHyIzqLf3KSmQktqKUb46BLZwCWJSfCCfyRGa0QFyfLRoGFOZ94Wdv5RA4wzCjEj2w8DJJ/6t7Tod1OvWw1JbC7+LL4Io5OwS5oVH7kVLywbY7UZMmpjPAmzOJAxaMyzbNsDS2AS/ixZCoFSiLLcZR3Y2wCdQClWQFD6BMvgESaEKlLKU61PpliICvlHXCDFPiNm+Foi1Ef+T9ggH11bhwJoqHN5Si+nXZiA24/Q6Av5bQOe/qkO5jJytzOO65TzB5/Nh7tTBXKyGsbAN/helQuARFkTHed2+RqaCk6YGQODfN4nHE1lYKHLQLTdDNYVLP6egNLIDOBmIOPR6LrEAygmR/fp8/B7EO3US9ef/9hXAJ00LZB1JJ32/pEB1QpKQwIbdXMnOqUV7GpivLM20Ep3zeIGvGLJB3HGR5taEy9MuZy3zP+z9Bks1G2EnMYTrM/BFrKNhcPBg9vt0Q8hdV6sPw2RqgMCvDI1BOdDUZrNzdFJ2CJQBvd9/Xx6l/qxVnuuirL3zNpjLOaKo/qGHEP3hh97HFlLVVu3krNFcoPvJm3b5bUDsWI4IpW48WoNVbAWGXME9rmglYHIGX6df4EVQud+gCFCFcsMJ89Fi5Ck+4e6GANkhzhaXW/dy6yJaC5FK1zWI7DV2cuQsrY3CPFShBGotp0BYuo+C1VyPs+gh7RnuRvN0T9DjAMzT6rBKqcBemRQNQiEWhwXjfI0O87XO4rjDgRB5CD6d8SnSAtIgos+13X3eNUn5qIzlnju4xYSBRz3VrD2iio53bCcl5NaXuBE9iiNwMxdwrfCnCfqtyfrAl8b0WFhaDTAeafPadz0FHy7IR8XDtukD7vcISQcSJnSTr7o9DWiU8LAuXIhDAQK0xA3DXVIeeEYH+DktkD8RAr7Ive9aW43sNRkKDbhgyN1YkfsujBYNbOZC6AQS6Hkj4CsXwF+ugKQV8LFZkWSxwJ6zA+kyI/w2pcEx7AFm49FfkJ858SiEAaPDvMIo6djZ/MqraP+c674iBC1ezAhbum/th2+iZO8uVOQdwPn3PISQ+CTv323qE8BnM4BBlwITHwBIBNUf+McDj7cBdgv2r/gNe376Hrm6ATjvlpsRm5LkTfj2XHunzOKIfVdhwkDFkHaPyw5u+PYhiKD7TwCxVA1o1ZzNgxOtH36Eto8+QkewHDG/Dj7r87L/BvxL2p5FhPvKcPvUZNw6OYl53ZL6lpRuLtuBvJpONp794win9BwRzYK9+juZpnbsBQsWMGWtgM+HbccO1C1c2IuslQ0ahCAWMDaWPbfRYsPS3Dp8ur0c5a3eaqpQHwkjai8bGQOxDSja3YAtO+ox+9ZBXu2Hnmna5P3XUNrFRk+VUliCL2Yv5k6A9NqqadOYd27bZ5+h7eNPWDosBQ00PPww9Dk5GPrC84yQJY/biooK9v8qKyuxevVq3HTTTd3PTc912WWXnfD7qch7DQEfCAGTAIUZ16LLLwliB3Dhug685tAw5oMOz3fMFcHG0wACBRCQiPDGfHzU2IIlKiVeDQ6BwWFFnbYO1627DpcNuIxVQOUiOeTDhiH8/ntg4PvgiUIzWhx2rOdZ8ahDimQIcM7+TqSPDMErvjKYxDIoDXqkhJ+LLKl7AcuTxULI88WggZ/AmqZFwXlXgGcU4NDQqWiLGYh0ixBJeh6kPVrLotPtbKI2/qJklliZnBmIxhf2omF5JXgSHkSyLohM+RBaCiHiVUPEF7CJYPem9QdXveXZxgL2h7nrMKJMUIQu3i7M3b8K2A+oBH4I8hFAduxbxFWvQ0XcOWgKHc4ezbP5YnTVfGik83Fpuhzzx0VifoUJsumRWFu7DjPjZrq35ZSZ3HCRsuVbuFG9B4gZ7f3DUVvPynu46+xkPpmzU4gd0+ekjU6AxR3F6DB1oNPYyZQIYyPGst+ov4F/LgUtefsOTo0F1A1AaDrEYjG7nR7TEz7QIAKN8EcXuuCDADhZNieZ2t7uPomRi2E7/NlgJXMaJNLVA3Lo8QA+4h5oNXb7NVMhxrc+HwKaYPUEVampVWzoNVyK+HHgIxXhlYWDMDMjDA8tzWdEI3lU3/HDQawtaGTkbV++1NT+JonzZUM1LtJLzc8+DyXMFnewhQapaWgohXxMVpyDFrMZx0ylqFHyEdepQ/hTT8H3ooX4vL4Nz5ZV4nZbF+6ZOBalB1qw8aujsNu4565t1CNJJQbf+VJq/SSIHN7FpL8KRA5Vtem7idkyImadlzpz3z58hBa+Ay18O4LtfOgEyfAV+KINaqjlNdCLByFIFo6xk6fjkcxUVtA7ES5bNhQ1iiRI1TsR3cURfGY4kBD1OZSyLmRlvY+Q4DGn9fk6dGbsKmvDjtIWbCtuZdY9fIcNydpS+HV0YbluBJY7rX2SQ5SYnDAaEdBgyoL5iEnmEl+71lWyhbknKIBQOiCALc55Cb5Yt68aTwXIMGtgRLd6t/MPd+Xf2mqAdmstGyxobIAfzr3wLuTsW4aWau54r21rZQqE3b/8gPQJk5n6NjCqtz0GbZO0X9I+Sr7uBIOxpvt+8rQ9FRTva8T6z48gNN4Hc24dxM5ffWH0qAisWXIU4wp/R2jbIQQ3OPDB/MtRbTAjRB6J11YeZUVZO08PWdTPEMirESPPwE/zP8CuHfezBZbZ1Iz/FrS0rIdOx5HUvr5D4efnLkb0xCs5r2BnHddNIxfK8eG0DzEomDXf9sbRFWjNV8FqEADlVphMP0CW4TxHOCHqI3iuMr+VkZHsfokAU69K61OJz7aPvDx0/vorNKtWszRjgrmmGpEvv4yzCYfDBptNi04rD78d+wZjY2YjTPHnC5IOuwP7lpcif20psnc9D5mpHZpNGxH7zTdortagusf+6gJ9b0TeUso1pXIPncWpjfpCvbaeEbaEWLEdFMAts8Yyn8L/tdCxQxu54wv5gPr/P1YaW0xGFjhJ9jjtde5jqivoZtDYczAgahR4NVY0v5TbzRmRDYJiWJiXIjPwynRIk/1YcbgvGPILUEvZGi0tqLvvfsT98D2kqalelgenAtou/c51h62eCsiHs6dXbX+hGBIC0DgN+M7g9j//IDmOfp+PBFM+eH6j4KBitoDf5+eh48fdU+5H48hGfJr/KX4t+RVWpxCFSL+fZi/ocy3Z3Myp4fSBhQiIPB/HfgAmXpSCqDH9D5IldC1bhoannobDOTemoDi/+R6vSSTOwW+BnE85svD6jUCUh01M1oVAxBAgLBOoyQE+m8bdvvs9bm5Lz5P3nfvxg0+83vNEQ001agK5YxZ1eChJpesCPS/latDor9qUHnfdur7vs1kBq8FJ5tKEvkchh9Y9yhDwLHo8qWvEgupfYHDYkCuVokLmg+kZU6EiJaWS23YGBnsQxkSohg9m71kPmp9xOSny4OFACLcOY5/H83v1JP24D8yRupU7uDWXi+Cv2cMNWn/9CdK2J8j2StSPfVc1MQ5Iugj2oFTsay/Amoqv8eioR1nRwdqiR3BZF76LE6NNzINUa8RtoyIh2lILvs4Ei2MbQs+9wetcT0Rv54pyZtnAb7ZjVta1+D2XArQdkBpyMaxLiIjBc/H22Odh3BmHWj6YlMaucSBMk4P2r3JgqqhA5GuvMYHJoU01iB8YxM6RfYFe8+gut41T2pgIr66BpueeQ8f3bguh0EceRsCVV7LruauWMcKWYNJ0QPLLpcD5zwKp57hfgH7TuwtO3eqItgeBELSsKjnAFdrMBgOWvvU2Ztx0BzImTj3+/yWFu0vlfqogkVZXjTe524vwbedER7QW6Ohgoj2CwEcOYR/BzP/iX9L2bwEtXknJRKNTb8bvB+vwY04Na1cl6M02poSjkRisYOrbeUMiESThw240skHkpoNdN8FhMsJhsUAxmiO7iGgik+vqe++jdClvsvb226EYO4adSOm1v9ldha92V6K1RwU7JVSJG8YnMPVdR40WOT+WoORAM2xORVXh9jqMme8mh8KT/DBoSjTaG7SMwHUZcXuCLBSMfVTKN3xXBr15DPzuGA1h7hYI9m+CQlcP3/PP7yajr7zySuzfvx/r1q2DxWJBQ0MDI3Hj4/tnxG7QVMP+whaI2vg4OuBytAZxJ0KbkIdVVh0czj3hmqFyvFvyGD6tkOKVCa8g+8IvgGd+Z6e5izRajDYY8HjiIBwwcy0Q5HW7o24HHhn4BKSloci+8kqU5NSg/WgBI+JKHTbcwNPharEcg/UCVK2rx91jw3HginsxfFUZ4uE+oWuDTUi9hfO8szsceLlGiz+uuB5NAUHQy+Q4188OY9EruC/vckzXizHMLgIvToa0SB2eqnwBqduz8Pz455E2Jhym8k73CcNEpIAPzBhLTR/dt/N4OohQhUDxixDwODJMxt8JMa8QQl4TRKKfUcfLxjGkIhVHkYIKCGydiJ4A1O/1A6qbkXH0K8RVrUXd9DtR28Wd6FVG4JxcPbZoKlExOhRhhZ/jw8Pv4+fin/HEqCcQ59tjQUgnIZqA0SAy0DnJM9vM6DB2oLN0FTqkEnQKBOg0VKOj6Bt0Fn+PTqEQnXJ/jArIwDVDb+cmM86wlUtXXgqL3W1VEKWMwuuTXu/loUjK2cbGxm6Lg7raGnR0uosNscJWDP79G86z546DbL8hKw56bKSwCxGaXESiCREiDVQRKdx7CE7h1ATWsdykjZQDTl/pcVSgaGpAe1UB2i1iWBy9Fy5+8KiYO4nmNWvWMHsQ4iL8cRUjhGmQUjccTYg2NAK73+UGKRiIvCUfsOMUfKalh2J9rD8eX1aAPw5zhMfK/AbsrWjDi/MHMq/tE6Hn5J+C56gtysurzuqArUuCgNSLMMphx3B9LRQXpsAyIwOL8iuxsV0N/85W8H58E+984w84MiEQZ4HHl0IUb8R7IQ9BaePhNrMckzU2LCsPwoirr0HwXXci8LrrzkjrJJGX5a1EzOpQzgZH0hJha3VWzPsDUssmBCuREKxA+c5GBDv9C2bVD8T7yTvYPNl3nBL3jr21Xz7HXZ2deCn/UShgwO+2RTA4uOfr9FMzwpagUnpvy6cCCrqaPTCcDQo62LpiBY5tWgO7Xg07eChUpUMrVCISPAxrNmMI0vECjHj+y1IMjW1jCtxJwQqQcQFfKYIsPRDSjEBIE/3Y8cuFG6f0LiAox0UyhZWhoA1mCpFxfs0UZGLY1wwVJJiqvAz2c/nY37Qa5bn72WPIK/nwhjVsUAvuBfc/xhTAFOx2+PBh5OXlobm5mdnj3EZFSYUCBsPpkbZVBW3Y+CXXbt9UocaxvY2sBbovCEUC2CaGofFwE+KM7ZAZgYGlRfjQIMHOI82obufIQblDComiCla+AVpHKaQiMUSiAFgsbTCZW/DfAFqYVFZxrX2E+LhbT1hUvj7retaV0mJowfvT3sfgELcXogv1RjMipGIYgmajveQrpxJZiOYZVyBSQEWs48Oos2Dzt+5OjbEXJvVaVFlbW9G1bDk6ly6F2Wm35II4Ph5hjz2GswVzvZalwDsccmxXCvFrJ6Wkv4knBD5YmLLwzz230Yr1Hx9C5RE6PkiQn3kjhh58lXVT0W+kc4bo9QUiHWneRoPSr4fO8r6f/P3ICkAVIMVR333dtydIuPmg0t/DP/F/BDkrK2F1zoczJ0QedzH/3wRLQwMEgYHgi70Lt+11tdjwqXu/J0SEpmDwgBnwMwfBVmGApaK3sorCiDxJWxZklH58NbJ6zRrUP/QwW9sQWGv9X2wfdcZAZJ2mAVDXcYMUZPETgYDTD4sKLFqPEev+A77DDsd5yQDfD22KtajNeREmczOyMt+Fr+/gXuTtY6Mew3WZ1zHydmnpUiwevLjXcVpn0bFCWnMLl+jO4wmROXwBktOkUPr3P6jUbjKh6fkXWFuzC5IBAxD11pucX2VjPhculr+kW4TAQP61nuQidY0RYUuIHs751NbuY2GeKNvEhY4RyUgg9V9PccdxYNNZcNDo9jQeGeHtPXzGQeFkAhXXUdgX6HPQoI8J4PYjsXg5hysadjos2J02DTPijtMa7lIc05q29lugmCNtZQMuASKcnr/Hw/h7e/9Nghn6XfJ+AFqOcqS5Z2cfgb5zEoWQ2viv3hcjh+KFPc/hp2Ocb/H4yPGYGjuVKctLytoRnt8FjcEE08AAHJswHYm7l8Ek9YdwxUqEXuAmbWlbV46OgChcgbbvjsLW1gbLD88iNc4Px5yq+NEd+xAkHAlUtUBqsyCJqJJh8xGWMQaNTz/DOn9127aj8pJLYbz1JexY3oT9Kysx68ZMRKZ6Wn6ge57Y4bSCCE/yhZ+ziOew2dDw+BPoWrrU9eYQ9tRT8L+Ys42pKzqCbd990f085wQdhC+RmpueA5JnensO/wlveoFQiIWPP4+V77zCskYoOHLN+29A3dKMUQsuOeWQ35OC9u2+igfHAR3rqUBH5Hbo7Vee+ffz/wT/krZnAVRl6fjue0auukhWdkmkq8mIaUYTphiN0Kh1WDNuIb5skUJj4ogP34JcDPv8TjTZLGjt2fLgCT4fAwoLujd08or0Pe88dP32G2SDB3PKWidZW9Oux2c7KpjS19AjvXVkfABumpiAMTEBLIH595cPoLXGHXzlgtrZsuxCVKo/G56LqY4GHdpp0GKgQYe2+r7TGOuLOxjJy8XbDAaGcJOQA0vNCNh9EIFkrxChQFJoJBJvvBF7cnIYkUvkWb++f4cDHc+9D1EZD6WJ89AYxnkN2vjAEaUVRU4L/eF+EhTKPoa6TQ21WY3vjn6H7NBs4KkuYPtrwMZnEG214fNjufhcFIP3Qx2wiHio1lTj5582IqVmFLOAuHRMDEu4vm/JIRQ3aYm7wgqdAf5abiLUtKcRCwqEkPK4yauFB7w6QIKitCCsE/KYWuaO/Eosbe8CIjlF2S2RvpjUeBX21UzHtV0ySMBDJxwQtehxY9AjMEr1KK+sxeiI0ZiXPA98pRjK8ZGwHDkEa5sdNvSu+DscCpiRCr7ABAy5hlWPef5xCFbFgRcchwP55+LYHyvZY5eLzsfiiHzIm3PBM3QgfFQnzDoBjG0SKPSNSFn2MISJc1ERxalp7Txgv58D21flQJn0MSOtyFB//vL5uEJ+IdKzs9Fp6mRq2C5TF1MJPzLyEa9JwSM7HsHayrXcH+HHIxGN8K3ZBuT+xpGUC79kr+8v8Uezwa1eq9XW4opVV+ChkQ/hwuQLUVhYiK1bt6K1tbWXatQTDVYftnXwyReIAg9kfli4cCGz3+CRKrhzEDfRoco7X4Ddv5WhbFkzJl0+wGt/oNcg6w5PSw+6jULLSIFLgzyp6TIwcBww+R2uWu8kbek+AvGIbQhgwxPDeAWY7VjPtcmTlQQtIDLnn5S4I2uPmRn1jLzt1FtY8eaGr/djQXYUC+LzlfXPp0+gErMwDUqF1mwrRPs3a8FXJYNPkz02T+FDqIiBKdeIG3xKcFDCfedDD3Nt01Y9FQ22w2rYDWNgBFYr9kLNN0PNF+LVAH/U6lIx5shWRoa3vPY6DPsPIPw/L/bwS+sb1MlQ1aZjXQQuYpa7rmX2NP0FEzD4y5AUrERSCDcSndf95GJUVn2PY8dW4bfQVKCcI+qVnaMgdGxnVe5t5avxwNgH+pUULy/fi5bfHJDG2yENjYBL1+0bxS1aBAIFpKfR7u+J5spyppwq2rkVNov7ewgQB+NzsrMxBMBP61b0T4AQ39nM2FPezsYrZJ0mkSAoXo5xURKMD5Uh8iTqYQKFEqrGRrJBLXPGo+0wFLbBWNIB9kXRvmGwQqkKw8yFV2HL2h/RUhCAjuIAwEKKAe49HS0qxoGDeagsL/UOoFT5Q2cXQE4hYd1KWz4kkv4phxrKurDmo/zuNreM8REYOOXE3zUFiP0YORijGjlrhwu27cDhlCg06/TMxItU1e/FhOAbfQJylIXoMHegSl0FiSSEkbbkbeoKd/ono619KzSaQnZdpcpEQMDxQzRcBMIXs75gnSlDQoZ43WdzOPBGZRPermrCUp4Wfi884w5VSZ2NOwx8iF7dikdnpzHLqL6w7cdi6J0F4piMQKSPcz9Ou3UrOpYsgXbLVrYA8wSFHspHjYLfggUQ+Jw5VdFJYXOwLgRhSDCiAtwtzLlNuX+KtO1q0WPlWwfQ0ercjx12hDXlQDV+DBSjOJJi6tVpGLMgCeo2AzStRnapbjNC02aEutXA7CXsVgezTeiJlhot8w2mueDehBzAeTpOlHDzx405ciiLchCbFYiRc09P1fjfhM4mPY44w6FEUgGGnXN8ZfLZBvkCWtvaYWtvg7WtDbb2dlhb25x/u25vh8+smQi65Rbv5PNrr4OpqgqIiYIqPhHihHhIEhKhSohHZHIq6kqOISotEyMD50BY5wCqSZ3m3XUkDJaxtHjqthD1sCo4HpjX4wcfoPXtd7pvk2VnI+qdtyEM/AdYTlARXtMIaBsZseSFra8A+z8DtE1u1aILPAHnF0oE2Qk6oI4H2YBUCMQiJtIx7P8JsmHDIR0lR1PXIXY/ZV8cD+HKcDw++nHcOPBG1mbvCTre3LrxViyIn4ZUfR3kfMDffzREIj+ITj6l6gb579bedRdMR9x+4n4LL0ToQw+AX7Ee+PwmzgqtJxKnAllur+M+MeY24Ocr3WrbuHHu75cEHv0s2pur1RivHopIcyiOZjRgUqxTwfsXoqHxd+j15bDbjEhOfuSEj6VuTbIRatA24KLUi5Aa0L8CmN5Q1X1dLjvNMCciAcfeCYy5A2g8DJh6rPXpfLzqfs5rmLocqTU/a6FXsNqZxuToyd2k7S8lvzDSVp4ZhLzfjqK0zcA6REUNepQ3jETz6GGQ6Zswcu9zsHV1QeDrnX9AnYG+0+SoveNJOIxdEMjCsT1sJMbX70C+Kh1PJmYBZaS+dSJxCvzT5kIcE4u6O+5gz2kqK8f+n/IAWTjjNZa9lYdxC5ORNSnSa752ZKdbZZs+lpuHkJiu/sGHoF7l9Hbl8xHxnxcZN0PQd3bgj9eeZgQqYURgDRJVzuIXrZ1Ijao4c8c/kVSK8+59BJu//ITljhB2LfkOXc1NmH7jbYzY/TshTUtD7Hceavp/0Qv/krZnAzweml54wSPlsW/QweimW27A4tHjsCq/gZGq5mYeZOQncjJQuiAtvD0q5EG3LobP7NndZG1BXRc+2lbOnpu8DbtflweckxmOGyckIEYkYgnMX39YBAu14niAvGoHjApHxoSIk4Z8kEcaqW9peMLWw5POYrZ1L457ghZjNGqLOBXoIP0WRHQdxqTHH2NWBCa9BRWHWxESo4LiBN5RbZ98ylp3qmJmoCaaawUgUjFgkB/GVHRiB7N34iNt7B78Vl7Qrcx8csyT7iehSZfEB1h1H/udrrdUY8QBJR5KToRDEIrkGm5hlLu2GqkjwzAwyg8rbh+HtzeW4OMtJYjVHMAG2TBcaVcgWyaAy5bT7HDgowQx/ogU4TedFDxSbtgd4JV2AgE89lrPJUdillGIjRsehrzZ43OK9NgSvBJGHjdpXmCw4YIgbkJJ/nJ+sxOA4WZgyVWwp18GS+gcWHUKWJr0sFTWwlrXBh7PBN6VS7gJkROu01D20GE4WnQMpaWl0Fp4WON7BeZf/SuXnFp1AI5dVB12t6snlK2AsqsaBWnX4GiUDLoKNXhWH+hrFkEV9gvi1IngOwT4MuhHOLZ5J01LBVI8krgQqNzOhXMJxPDTu9XCJ0KXa/JGHlNOLEhZALPVCHnJFvxh7kQFOmC2m/HM7mdwsOkg5vvMZ5YDPSGEFWFoRgSaOAWtoBO8sBFA5BDO14feq9SpQogdzQ0naorakbuWm0jJerRSlx9swdYfjnEez2EK+Lv8nsMVzKOZRi9Qtd6JrKwsRjC7iF1rDxJivyMT/OhhOEf7M3gdZcCwa72fi449pRs4awlSAniACJGRCQF4+Nd8bCziiO5fc2uxq6wVL184kKkq+wvym5VlhMBctBS29g4II9PgO38xbHoflihbruB3E7ahPAEm8tIQ4qeCnGdBra4Y7eYGSNuqMW97OGqDDVCGtCHLGoKwaS8gwn89Wj/4kH0WImQqFixA1BtvsA4CWvS1aEycYrZV60XOUpHqFESzjGBLCFIgkYjZYGX3JalopX20dNrtdhaUWFX1AVQ+9bggOwfHatMhNPtDbY3GPRuDkXC0EftS2rFx4kbMiu8hY+sBUoh3fvUhLDoh6o9FoCMwle2UWp4dQwZwkz+12gelpWVITqaQwv7Dbreh7MA+HFy1HDVHuFBAHngIkkQiSpGKOP9MSMjPmu0a3tvY1EAVdsDAVMgu7KEAmvxG/JHPLR7pOxrP/HCDMSox8Lje7PR7UUeJxmaHOkYBTYgY2uwA8CrVUFRpEdhowHKDAcVrgZFKf0SNbUL4QDOSd72KFlMtyto7sXLJMhh4znOjwwFxawM0PiH4rVaK15/fCLlYgJfHVYIyGI0mJd766nekZg5CenwkIv1lfbbat9VpsfK9Q90KusTsEEy4NPWkZCr5Rd8flQljnoipNsYc2geHYh6sUhGmxKzAPEU+JB31OMC/kJG2hIPNBxEnDnK+fQsslg6Ixb1Dtv5RKttKt9ouLq63eovacW0OGySUKOwEEQY9SYMWswW3HqmCz+EVuGvLMSh2bWXuMARxfAK+mXEe2shX32jBH4fr+yRtSdlSktPUPTeZsmiA1/tp//576La6w2cING/wXbAAPjNngC/vreGlluz2b75F8O23gefhkXemIHT6vkq0kYgW2yHiOWBx8HCgqbc/aH9B5521H+TBmQUFoVWPrNpfMOT1eyAb6G6tpe9GphRC/ebbiL5wAaTD072eh4rFFKTSlwpXqhDCauLmao0qTq3Md9ojWE1KGDrkMHRomOL0fwF7lpWz74swZHoMZKoz60nsCVJqEXlAarFu0rW1DVYK+iT7x7vv8no8WQpQVsTJYB7graizGvSoULehMjEcNp4D4zdvBm/LNggCk2BrPYZYmQQJfr4IFddDmSSAoc59fiBylkhaImtP1duYOgcbHnnUTWxQcfKCCxD2zNO9FL9/GaiVnZSGXU6VLM1xSYXIrtdxCloK/SE81gwIPebhNC+k+/sC/Z9D3wOHf+Q8Wylk9xSgGDkCUe++y9lF1B+AZvkBOGKGAM5d12Q6eahbqKK34OH9Q+9Da9Hiq+LfIeXJMFFlxQ1kOXYK0GzcyFTRdg3XGcaTShH25JPwI/ekD4f3/k5o/UQ2B8Ov7x+BPWAOp6glK4WyjdxwgbxX+wlzlQZkBpdsjMHIATMgD/zr266rqj6CTlfMvMqTkh5iooXjgezbqCPlVGHwIG1lp0vaukDnzfA+bIvqc93hcKR4Xv84sOFJbh1BBO6A2YD4zNrCkPAoQhGBel09s1YiMpsKEDOSgvBaSQ1oL+Q1GdEJOagkZJCHQi8Jg3rtWvhf1LsQoM/ZDnsXF0i7OSUTB81ZMIQG4Cp5AsIjVMCuTc7vQADEje/e7+J+/gk1tyxm/szDq79G6exnUUOBs3YHtv9UjNZaDSZekgqBM9sjJNYHjeVqaDuMbN7Ivj5PwlYoROSrr7JiGcFeuRsrX36e2boSouWdGBtcyRWFpjzOZbj8BUV8Coeccs1NLKRs6zefsdsKt26AtqMNc+9+GJI+5kX/4p+Df0nbswCaLPMkku6WnxOBFLhKsQALhkaxUZopRFv5arRYyMNGCJNABLNAxF3yRQgIUCIpOgjxEQFMh+u5i5PaVhQZia3FLSxcjDwMPSEV8XHRsGhcPy4BMYHcjlqyvwkF2zjNqwvk6ZcxPhJJw0IgokCpPwFBj4UyPd+1r4xniwVPVW57vZZdmnTuiaH4yB6YtDWoumIRJGlpaAvMxD7hJO6zCC0IUNkQFCpG1ORBCI7xgcJPzL7zzl9/QV34WJQnuBMm20f5Y95RqiqKkC4SYc+0BnxUzlX3RA4HXku+Aj5iH6+Jc+teE8x7/BExooOFnQ4M1eKtZgn+0FzBiI/4QUGYcmUaMx/fXL0ZYyPH4t5pyQjL+QnN5fvhx5NhuJ/bg7LNakeOzoakg1a8XWlGsE2Dxp1NEAZIcX+NFl0DpZjVZkd4RTN+o0Arj+RVYex2fB2yCmohR6DM0urweEsbeAVLvNtgqNVl8R7wKeXc6xkSmIegwzcViPBevHlut3PnzsX7778PpVKJESNGcCcRv2jw/aIR9Xk2KhZc2D1pYy/XeghZR7+AQ3AjSlIVKGvTwKZLhabsfozRiqCwyjGkbgZ2x/6OGn93dd5oM0JzdDdUGzlvXUKGUoGpchn87Hb42Wzwt9m56yIV/C77malpffVdUNXsA3a8Dmx4ijPUF0iwWChBnVmFSH0BKGv25YAA/OTLqT5WlK9AgaoAyeJkJPsnIqJpIyLRiAh+O0LCIiGIJPXsBE5BG5Tai+Q8HqGxd5nbq5NUSZ6gbZkCJeqOdbLhCfLKZKF94QqExKm8vJBcmDqVKzZQorCpshJt+floLi5BbVMjclUqOHg85NSaMPiGPxBhLPEisOFS3353IaCKALKv5Iave4EdopLi06uG4ZcDtXhmxRGm9G/oMmLRZ/twxagYPHxOGhT9DEck83iqJhPBGvHKK6jyD8QthZXQN/Hhb+IWujPkcszeqkZrfQCSfELgK+AhzW8UdFY16vUljMDltdTA0SJDvViKCRECBE+4A4KswWh86EE0280o8BMDTz8InVQJE0/QqyZGNHgkT4hvo729z8a270KKtpQVTuh4RCFoAj6v+zIoMhoTZl+F8OSTKx7IWmPlypUsZC4h0YeRtiK+FTGDrKjP4R6j6hiNAO1vGHfEgR0N+Sclbe/ZcCcW7Sxi+YNNIUO5ySRNToP0EPA5MrGrS4XvvvsO2dnZOM9Zte9Px8f3j96HpnLOj9SFUWHnIUbmXMD3EAqJY1RsMS7NCEJUkAwUCVPdpsf20hZsL27FzrJWaIzubZ0jy3X4ancV+z6HxPjBXy5mj1EbLV6XnoXDniC6zJ7fxSbo/LQkTIpuhr86AyKeABHSWEQgltm+NPO6UMxvR66+EarWeohaGxDp40BFwGg47BrIhJzXutEgQ1dVIfZVFWK5XYUSezCsqghEB6rYuS82QI4IkRCNS6thdtp7UADZ9GvSu714TwRddQ0CSYUcNxlRDhki6nfCv6MIgwMzMN+vHpLag+xxA/nucwqRtqn+bjLTbG75R5O2nZ170dWVy64rFMkIDprei7B9ePvDrEvlrclvQUrFtz6wp1OLm/MrcO+y5zFyfS5sJvecQpqZCcvDT+HbX7kFqUTIx2Oz+z4/0bzknJuzsOXbo8hO1ECu8J5bkJ8ikbbkjUYkkN+C+RD3VRzzII9qbr0NxsOHYcg/jKg33+yl3PmzIG9wQYAUoo4QCB0CxIntKDEJ0KBrYF6xEcr+tz/SOYcK7Dt/KYbDwW2jcl0jhmnXYsDnL0LURydS+xdfoOP779G5ZAnz1PO7xN0WST7AfRW/ye920XNjmG1CXXMzPlzHEUVRYhskfLItiYYyQAqBkI/U0d6+vKTepffZl3r3vwmkRKK20gGjxyMyfTILdSNIFHYcWP4kclec/DnmPfQUQuLcKuSSfbuw6fMP+3wsKbRsWi2zNxNarJhwzNtH9khEIBr8lGw+JjrG7ZMu2NQa2NM5Eie0S4fMOs7Ky4XtKVEwCwXg1xRBcLNTyej0OTRHBUPAEyJMFg/eiJlQBmWAJ1ZAt+V5+BF5ZmiGvqEZ/tfcCrvel1ni0PnBXFaIpufvhpiCtBITWOGFLkWxsSckXi3Nzai97Xa2zzHweAi59x4EkP3R6RAWRLBSeBURqZRobqVL5yCrKk0ToK4F0s4HojwUs0TYfsIFnp0UROSSXZYL5PmoCOHmUz7OQddJtUgWABRoRQpR5Yktp44H5fhxiHzrTRQ/8ByqIyZCml8GsYu0PQ1bHYvNgmhlNHIc+2Hn2WB08LBWLcLOnR9iUYcOV6R7r3085w+ellTWltbuuT8dVyPfegvS1BRurulJ2AYPAEbcwCmOj2cZ0BfI6mzULcAaLlkekcO4HAsi1P37r2yXDw1h4W3mKjUksWenq0IqjWCkrd1uhtncBonkzBPFBgNHRBIxLJGc3rZ1UgQmAXPe4MKrKcSaQNuyi0QXq4D084HBlwIxY7zUz3TcJ4EJZdBUV1ezvAHKGiB7sJ6XEydOZFkE7PM4HJirt7FUDwcc+Hj3x7gs7jJYoq3IKnEgj1bbRhsGZfqgrZlTpTYHD0bQ8mV9krbabdvQ6ZsIvs2MNdGjwSt14Fp5EsZChJJ3t2FtdCqm+3YgSxkPPvkaO0HWHnE//YiGRx5B4M03Y0BaOvb8XoaD67jv/ejOBtZNPOumLCh8JaxgSV1ZdM6jcybBZ+4cqNetY/tN5NtvQTVpEndM+ukK7NpZhOo2rvNSITRh9iAH+LN+4Hxs/+KOKzq2DpszDz5BwVj17mus067q8EH8+OQDmP/QU1AFcmKCf/HPw7+k7VkCkRh0QONLpeBJpOBLJawyyac2a3abxHmf96Q5adxwJG1Zx4JxNhc14+f9NSzxved611ctwrw1Jcz/Ni3ch7UErzhUj0+2l3d75bpA6eBXjo7DBUkh8JEK4e8kbAkUYiVTiWAx25EyIhSZ4yMRHONxoiWfproDXKt4xgXeb2LLS0DJWiCYPHsGuC9pEnOSgxDZCtDo2VLuInObcorh1+wHyxFu8mo6ehQt5JfktIsyWkWo76ABHC7iFGQyHzFC4u2wxcxHLd9tMJ/GP4aUo0TIcEoaQWQZvq16t/v+B9s6kF66DRh4OfubWszq778ful3U5iNDuyIJ6ZkHIeBZobFGQMpTYdwlKcicyLVL7KrfhTs234FkvyRcXDEYzfkce6PRHkCV71DE8iTYzbdDbefByWGhtt0Kq5CHgQ4zZFoLBA4Hbj5oQL7Rji6ahDoRFGRBXPiPuFu5DxqmdQHSpDYsVFpg1UggoHaKnqDvvuEwEJbl/TukzfUi+fuCr68v8xMOCQmBqIfySBwTg4iXXmIqgO6XEovBn3MpeJXA+cdsaFVIsVqhh69WCoWV27YDDGGYXXQzBIpWBPq2w88uh69NgfajQdDzXoNcsAtKwVKWrkqj95sKBFxhNjQHo89FnldFf3R7ZpUiBvWQgWhJmgo81t6OYSYjngwKgJ7PR4WmAnPPnYsbBt8AFIazwDnmM0UJraeBysOtTPlFCIxUsMC9nqD9iojbvrye60s62Qiv8+1F2uZ8sw+GvFzI6osgLsmFSNvCfjeiREivIIiLw/7hwzChsQkhpAKOmNj7De53JpZq6oGt/wG2vQyknAMMu4a1BNEEmbbdhcOiMSYpCA/+chg7SrnF3rd7qllY1asLB2FEfG9SSbdrF6Tp6RD4uSc8ygkToBg/HjldOly8/xgMdMBSCiBW8fBcUgQuE9rwa3UupLwQ+HhwLQqhD5J9hrJhshlQry9Fi7EGv/5YjJ/4NahWGxE06jbcXvAtpPIw+EtOHPRhhQAXB/hAH61k6llSgho2HYXtcAikgh4VZdoXbYC2rB3fP34fhs6+AJMWXdfn8xqNRmzevBn79u3rbs3Xad3HrsyxBjQe4DFlWkP4aKSU/g6l0YHRNSduHa5WV0O9fRtUzi41H2EJdkksSLcIMH6qrptU1em414qOPoWQAAcPQweeizXl74IMU/zDI1moV7zvQGh+r+Qew+dBkuDLqabSA/tMiiaS8/LAWFw+MhZWmx2H67qwo6QV20tacLC6s9sLmC5zKk8vOM4GO6SwQA8JCtvSMCmaQhp4MIi6ILNw+xYVykIdfgi1+WG8JAGdEUmo1RdDoTmEwNgENPm7pzcGg/scFsbXsGHUV6NUE4g/yoJhtclwmVYCfzu3MbaIHNgi0GHL0sOICZAjlojdQDliAhQIlAvBd/oS02//e14dtr75DS7S8mGPPp86hiG2aBHUlo/2wAwcq4uGS+84iK9lZJ2VZ2Ok7ZVhE8Hny9iizm4/vufoPwEVnirbWFLZundcm92GR3c8ijWVnD/ifVvvwztT3vEiXsin/f3qZrxUXov/HHgFQ1flwWbnvke+TIKge+6F/6WXYtGX+7u3oVsmJSI6QN53qNjBPEiX/oqRWzeD90c7tKnvQzXFrRZTTZ6EqA8/gHLcOPD60fZnzM9n8wqCfvce5mUX/dGH7Dx3JiEKlcPWboRYF44ESRMjbQmktu0vaUvZAlt+OIaiXUSOcN9xYFs+RgSUIvaD9yFQ9hHQabNBs34Dd91iYb59un37EP7ssxAoT97GTsXoYgunEickOv1sYwcMxczzxzIFUs8AOFrklh5oZu2iQ8+Jg9L/+B1R/1QQWUXef9ZqHQRRQHFeEaJF3NwtYXoUtnzh9nINlyVAIuiboLYe1ULXxhHe5LVoNZuh7eD+Lx98xPT0KHf+JAKbHcJod4HV1lQAi0AAk4jbpgUaK0KkHucBWThNUxmCYvwQuCAdfIUSAl8VFINDsOX5R2FSdzELpSC97P/YOws4Ocuz6//HfVZm3XeTjbsSI4QQCATX4l6gFGgpdSi00JYWLRWgUNyLEyRoAiEJcd9kN1nNuu+4f7/7fmZ2djYbo7Rv3/fjhIeRnWfm0VvOda5zYdUp/bZGpyXbXkquqRStOplotS68gFD9x/irq6Xi1zxhGPZjExP7vt278e3cKZckqNXoCgowFBegz3NgzEslZUaRtBqIOttouOcz/C1KZ6cym8m/54/YUurhyRMh5FcqmkvydeDzGCErPE0vfTv5954/B9oS1+gBYctNJm3tB7G/MWcoaeSisrqYy2gGkdDxIPhQmH2DUnhLFNASxOVACAJZWCrkDig0dQAYZh3Nupm/JBxWYbLkU8yXh620HQydRsfxrRdhq05h14RH+cqtkT72Qnn78JaHeW7nc1w06kLO0c5Au3Mv3q3b8G7dgnH0GHl+4kg981Q8H78Gaj059z+aaHOEWjF7nEKsCnWxqLHwdUko4eH62e/BUaYcy8FzzsPZ30yzXJj19f1AjxRGY+J+9fmbvnHSNhqN9Ctthcr2YErefwnGFCVrTyydexXyVqjGexTikoATNj8H21+DH1clkfLbt2/ntddeO6yfmTdPUbhKqDUs6vbwWEqUiErFB/VvE/lSXKEqLNoMCCmT/pe3b+Y4lL65PXMyGtsXUtTy1LPPyholwkKxzOGgZNs29kz+EX32Ui7cruLVo62M2eCRY/20kJ2za66kfcJ3eHL1a5xcvYfssoQKXBQgK/hzwrJF1PHJKLTy6dMVhENRqaz95+/Xy+BxdoldjncGBihtCxbECplZscyOCba0eqrbonwVI2xVRDn5gtOxnHjdYVt+fFMYcdRcLKnpvHnvXficfQR93v9xi4RvcXB8e3b+Q7AvPri66lAQqZzHj82RS2ufTyriBIEbT1UVFeCfWlUrl/H5KTJVuKUvWdlb4jBz5ZxSpumMVH7ZzNJXGyibnMmJ14zv/4xQS5x03QSZvm0wakB4eW5eqhjCC0WjSJEQkTYxeBncgYpUCkHoimVwWkzmSCXiKhYRLc2fcsh9Fg2giGCJpXDUUUQveJGeV1+j8/HHCTY2ktZdSVjzIU5bEU5rEaGY/2cc3r4AIetf6S2cBU1KY1jY8DHdniq8ox2Y7Ln0taznV+mP4zYpfz/R5ebc1DFwyp/kxGbv4hOl4iHS20tIY6ByxHm0ZM6kunszxYaNVFiu5eybxpEZqzAr1EZ3rr5TEkCpqzrZV6sQtmqNltN/8nNc6jwef2c3p1wwgdFpFj5/aTd7NyrR8pZQlKxghFKDRhZs2GvSEulTzq9KE2Gu7VnSDO9ymTETZ+zWHaYPc7nDj1OtZ+2cXMaPP51kQwoxG3wKlv4Q5v8UjolFrY8A+fkHTnkUk2THNdfQ+eij/SlS0y89it43WiWRKQoyXaBN5a3cMC+1+Jjr01IQViapYXcGTn8mZQY12bEUk2B0JB5rMbb50xQCVigkxGMo/uhXqrwOhhhQC8+lkI8qbzoveWejJkID+cxhPcXsY7Hbw8hAgJuzMsgPhbly7XOgsiteuNqvn4YnJqsiXTKOmaeW7Td5nb6kVC5eV4DuZo+iJm929/s+x30ZTZ3VBOozk4iCbRtdeL0jIGUETDsVbdCDxdMsVVVWTzOp3Q2c9O67OEpKk4jTJIhJhZj0VL6v3L9i2f2usqQWwdTLYPLFsmJtfqqJZ66YwfNf1fG793ZJ32tRTOm8v6/mqrml/Oj4kdImIBoI0PrAg3Q/+SSaoxcQ+NXv6POH6POGcPqC9PlCdPsCcv4oCsLbglGmNHaRtuIBtP63OS0thYfdt3F9/ruURzM4vmcKI7yj0MWCEWLyW2obLxdc8AgKKd5hSuXp0Uu4JeBkQnrC1uNAOMZsJfv8hJ/m5zscpGaUkK49sDqh299CwKX4Sw8+l0JV+9JLL+F2JwIKDoeDo4+eQUur4t8WjOykcMxkWdAqorHQm1JGau9enKIYwXlnHfB3X9r9Egs3J+Sun+eV8KUpRGCUlTOzt9IUE7BMn3YGVVVhJk5MTmkLh8P9hc4EsRUKBtCqdLg3tuJcsQ9bl5E5R59H5uwRlEycIhUAEU+QYJVTkrSm0emozYcfuNBq1EwpSpPLjQvL5XkXfrcrq9r5oqpD2lP0f1atwm7SYTNqsRsHPcbeNwadBNqq6Wvciy3NwcJTz8Wim0r19qfoy/8CV0E1aaF7KQykE9zdS6gtYdWQasiSS7l9Cob6f3LiJedRVZtGKNRN3vD59Gom0VFbQdSnBDGNqhDjtK1yiQZSMOvywJ9JhzrCyyY/3kYf6xoTRQkFUvwufrXuadZNOo6uGUdLxfDq6k6+31rDzNZq1mQqA/N2x3j8OgtOo4qqjhFMiNmS2cJbGOYrZLepltq+WlJz/8Gwsh/913vZRqNh7PYJ9PVtRa93kJV1UhJhe9uXt/FejZIGqFVrpTffwH3qDoa4qaKez9vaeWTXnSxxfUH7aBsdO2xYp5RiPOaX6PILWVbRzpd7lIwg4R997fxhQxQVe4ue116XaYsC8WlOz+uvJZG2IoAolS2HCfP06RQ9/TT7vv996QMaqKmh9tzzKPjLn6WtwjcFXbZF+jgb3HkMSxU+eLp+0vaUYacc1nfsq+yOEbYKiuuWMXVuCjk/exDVAQodiveLnnmatnvvpfuZZ+V7zvc/kESbsJkRgbdDQXhhDi5CxnYrCAeXQe2kyJqqFPYVUWT2VsWqZqlGmrK4WAbo/7dg6yfLsDVZmZO7BGrAgZ9SixbRMpTMymPD2wlCZrx5PmnaoQOJkRW9dMu1wH5cEdoUg6JoikbQRtTMTDv5wBsxQMBsCD1LmreLXmdIpIqQZy5jsk1JuR0KgRi/ojKGSDu9BKsjA41OOf4jjDMo1It89qGhMmgwjkrHMnUcxhEKMRnu6UEtFOhBn0I6utoItzYqhIOwaUva6QjB+nq5COjtQVKalfGuuFqyRhloaM9Cm51F4d/+hlFYNnzym6F9UAdDjAUH43DHcUKtORCigvm0K5PJWfFcPOoOvyjXfjDaYd7NMOcH+xMyKx+Arx6GkSfB0T8+6JxIb9IyclYeDauaMUcSF4Nrz/p+q4TDhahwL2y8CsZXMTE9wHF2FWuDU/m4Y5cMljqDTh7e9gjPeB/mnifCZMTSt6M+v+LtKxSXO99GtfVl8nK7oHgGqoFBItHuX/1psoXE14UgAa9bCSmFX5v4fWL7E7JmxsycmYzNGIv630VwDoDRkCCIfb5GUuxDWA/8CxBexkLF+41YIxwuRN2OY38Jx/xc3p/RzS/QvmMFdcE0ai2zmNrYTllZgrQtiCZn7B4Mg4vzhjKOYV7fK6wwm3BpA7SYWsj15lKk6WZ1qJgIanaTwiKrj6jLiNuSh+1X98vgbCAQkPZxwk7Oum4dBRozfTblGGnUImPTzy5riJTwPsa4ytCiIXerHV9kGm/87tec8+vf4cg/sBiifHIGvkffZx2z8WntuHv8vHHvRlmgrGiUfb/MAvvMUfsFhWp0om6P0sbNu+ByCpaczf8U8keN4fzf3MP7f72PE6+/GXPKAeaQ3+K/At+Stv8LkW03cv2C4Vw3fxhf1XTx8rp63t/egj+kDJi2DZpoihTVKyYXktEWZNeb+/h0gG9ZzZYOXN3+hAKidx85jS/DmnUKUetJtlToR9z3SQxw4higCE2Cvw/2ie+L5QsfdX3yAEUo1dY+BhnlitpRpBEN0UGLSYeouCgWoX4QqTliACmWUHc3vc19dPstuMw5tDV46HVVYMvfzHu5YxizdheFm5zs89Xwx5mXMcEb4gpviJfHVFCbrXTiJYEgv/BacJ/2JBatQU7cBDncf6zGnEeLQ0k73xeYhHXqYs45bwR6Y+I20qo03H/M/Tz88M84tnM8LdoanKEequZoCBXaGJeWzZgxWf0pt4u/O569m9r49PndBIxqplw9jlBFF+ssKv70XgUXo6dKF8Yw3MPZvW9zWW42bbFI2GhdGvfN+B51zQ/hD7QSCrvRam3Jx3X57xXLAAHxXKTNH6F31WAIYkh4qwr1rUDmjTfg27ZVKpEjfX003/IjFv39cd7+S4DW6h7sTfu4wFjCWyVaXtzXx/iAhgVenSym5g1FWRMKM6zEzDi9Gto8mGaMhFmJ1FtBPnU+tQNdrhXTJAe6fOv+CuGYV9ju3bt55ZVXCMt/GrSjT6Lw7CdQudtksYjS9U/yQlOrLP6mjrTDG9+F2s/htL/iCXowDyL+DwdiYiomqPGU3ZIJB04t0RMk1VmNcd8uHLt24xcKlaoqAoEoHnMOmrAPz0xdP2krfJu9yXU+ZHCiN2WYXOIY3ruK0Tcdl5S+JlL3M602RQExfKGyiPTBjc8oi1DdCoiouZgoffY75ThOv0penxfPKpHepKKg3vq6bnk5PfZFDW9saiTX3cnVK56kvEuZjIU//4w7f/l3vsodu98+Ryxa0vKiXFX9Kteq38YiCt/pxX9dnJb2E9415bG7vYwvvQWcWv4Mxxm9WNumoG+bhjGaGMwJgm94loWyDOEvO5LsFj9s2b9i9aFw9IWX09a3RabLHQhphhyog96l1aSemkwcCYJW+NgKiPSuo48+mtmzhW94iJZWcfwjuFy7qDFHZRS9XhOh2JpCai/kbd2IZ18j5oL9AyHi+vt042vcu0dRGapMEZ7MPFE+P2daEU5X3E5ExaRJS5g6df9r9a233pL358yJE1j7wjOUmMaRFyoj4ky0+eU500mbnPDCFSRtxsVHOPM7AGxGHYvGZMtFQAQPhcJSnDthxzMUOelyudi2bRubN2+mpTWhHOpubSTfHCEtLYfOlIkyNT8SbWTUvAKZfsgSCLZ7ZBEzsQQbFDJ2d+96enpb2PzWFk66YT2hkFByRTl2po1o9ETq6urYsGEDO3fulMdKHlF9L4GQETXZVA0zYHOC15lMChT1tXDHmifI9XQx/NMn+WnAyK50ZTLwTtkcrKNHYvG5cEet9KQO528nmtGHdVzz4TBCER1adRB9aBtjPadL0lZga8d2pm7xSNLCNHasLJD13wiVSsPwYT+muOi7eH0NqNVKHyQmw7evul1azsQJ2weOeYCjCxIFyrY6PfzhtXfZlpHGy5V3MLNPyYRJH+dFN/cyPN5T8FcH6K2t405L4pgLWwQZHAqFlBTH116nY/UWemylZLdW9/cB4pjZTzpJFsD5V2GeMlnxsrv2WgJ79sqxRf3lV5B7152knJawV/pXlbYCelceJVli+hmVSreNbclp7gdD8ViHJD+3ftLA/DMLyOmaKe0fDgUxocz5xS8kCd38y1vlGCpYVy9VxdIu4bzzDhpAEOrwOI5b8wcM5l4sObF0p0EQ9lSiQNeWTxqkL244FGHLpw3sWNnI+GMKmHJ8sbQG+m+Gs6uDva+tZEb6/qILYQlhSbHz3b8lKn+3/XUzgVg7dFBULKXc9AblRZVE3L14ulLpYeisjsGwmzdzgnU3xLhiT9hPV/DApG0/RNB71Z+5+DszwewAUzpdK1R4ticPMNQWnQzgCesDo/8zVO6NUNsC2wRB24LG1aYU5RJp/zFknvM0jus3Eayrk4V7AptX4v/sGQJ9Wvx9WqKi6q/UbyTbRllz/OTffSfmWfPQZsTGTQP8sOVzQf4JdatYBCkr3hPPB1oUxCGqrWfGMqaS1ot9T9zGIGMQUS3GTSffz78NgwlbobLdELtudr+nLMMXwfyfQOGMIb9i4qxcyreLctR2KsM60ATxuRqlxYSwpDoc7NvdzfLndsvn3XuOpWh0OdbIO4y5fQsna1W8MUvN8gkqImoVRe3giA+RNGo09BH5wyjU/kSBX+ncJOaJbRXK3C2Ob4KwjUOICr4mxNxBKIfbve2YtCa+/M6XMmPg3w05PonB50sUqPqm8I0UITtCiDGvqAMi7A7q6hqpqyvBHYw1Qr1gr6qirCx2TwbcpL1zBeNV88nKyKB44lzSR80hHPATCngJ+72E/B5pkRVKKZbj6H7s/ZTU9EzOaPRK0lbAlVXN3GAGfpeGLZ0edoateNCjzjcSVi5nKX6atnc+jt4JhFR2OqN2cpua6UofJSKK8jNRGpm9o4Y1OicfF3zM5W2ncXaXMtcU4pAUfSbv/u4PnH7Hr7BnDn1Ptf/pIXQr32Ga7jO2T7yOHmsJerOWVHuY2u98h5QlJ+O48groa4Yv7oUNT8MZj8D4xPjk2Ot/gaP8XfZV7GDaqQcWcfynkJ6XzwV33bdf3x8Ohb5V3v6X4duz8R+Cr7IbjV2P7hAFvI4EgliZNcwhl197gry1pVEWL9vRpPS0x43K4rzCTAK7eql7Zg/1gywV7Olaxs3OkNVv++FuVwicoSAavuyxUDBDGVgIBe1AXLZUIW7bd0P7LqUjl4+7IGYELiEsEwZCGP6//+PEa2OqMgAQqtyBjyIa3u+/ppZ+c9JzTtgkCMJARI0iERp/9CNy29vpuUbDiuB43tacxdtHRTn5WCtr3p8I/jBbTVpep5Lt2Uq0yxCJ8PtWD+82/5aeuyox2WpwZOrIy5+ArbMSy9w5LLjlMl57eC8BX5j5F4yUBceSUL8G3v8pvozvcm7zYkoyxtHtb+XO9D9RYa1n7dJzuX7S9Vw29jKlEpogEvuaKNE38ZEjREW3ng+eXsr5ptXc0XMigSg8bvdxzMRc7jl9GD2PZGE2pkHYRWlKKY8sfop0YzrZhcexY+ctZGctwWqN+XAKVeXSH8Cm5xLbJ9KLSodInT8CiOjlG2+8Ib2Kvve972Gz2SSZnnfvvdSceRahlha8GzbQ/dCDLLnhZtZc+FMyqz5hh/dypt54CpuDAba1+ajVRTghoKfUp3Sme2udtKYZMM7IwGJVMd8XlASQQKjVg293t1ycyxvQpBowjcvANM6Bvsjer/DZtWuXJGzjhNrYsWM588wzlSiuqHZ67K0w7xZM21/DJBQOLQp5wKSLWNeyjpuX38xvZv+GBYWHbwAvCuutfSehsj3qtLIDTnprL7gQ78ahJ+ZiT1P6auRz/65d/e9rDRrO/PEU2tbtxhm10d0RkASxCLQMRHXaHKbkjyXeuoi0/ffee49JO3cyd+FxpF96ibRfkROWBT9XlB3CykTYJuwRBR6iEAlBbnKF95IMCy9fM4t/rKzm3g8rpe3KuIo13LDlNcwxpUtQpeGJsUtYkzuG0HAbmmYv6gFe1Gp3kAcqX2d3YBbbMz9kZkAQedDalM4z+T9gTGAKN3nAX/gRnaXLEVPetjwvXuM55PYFSQtBhlXPF7PyUQ/w1A7scxIoTVgSRLw+Ov/+d8LdPRgnjCdlyRJUBr2chA6GbV4+4cn7p6xFQ1E8m9oINiopm+ap2XLgL87pxvfeQmcyMe6YRSxatIjKykoWL14s07BiZwuzuRSPZy8udxXT5+Zy5a5G3GqYld4LQowUhYqnHiP/h9eSY0luP5ZWL2XGBheaWDvdNSwDr9qESadh8bhMNnxV2a+s0Ay2dhDXV20tW7dsxtbZhe2TvUy2zcfgMxEhQdgaylMxTfr3F+KII9M29ORNkKXi+Amitqqqqv+ejUPcs6NHj+4nVdPT5/X7qXZ1rSQv79xE6uMxZuzHFBLq8OLc20b1o4o/YsXK5YyeewylkxMqSXEe44X/TjzxRPn7gsAVQahxYyYyZ/FEfhDro3ucHtZu2UHEnodz9RpGPPw39D5F2evUmwkJzz0ZRDXwy4tPllkwX762h80f1ctUvvwuNduLNXh0elpD5eTrd6LVdDPOm8nrse3Z1LKRvF+9QFREZtRqDMOHy2vXNH4CpgnjMZSXH1Zq/5HCv3cv4d4+Is4+wk4XEZeTsNNJpM9J2OUk4nQRdvaR8d3vYp6aSCNW+7WE3t5Cr70WVYqNP/a+yltdy+XftCot986/l2NE+xlDqKsL3V2/49b33kU1Uc2o0YrCLaqz4M67G9duQfgFpHfdP1QBmmJE+bzyDE4YGyP+H/qzvK9FCKRiwvV0p4+mPWMik00VZJ59Mvbjhy4q9nUhagGUvPgijT/4Ie4vv+yvAO2vqSHzxhuTAmNfB9oYaWtw5yPilEX6CLUBDTW9NXR6O3GYDlwtWqhi1SYT+uwUjpoVYnSRhtTxQg04oLDP7g9g9V/A3aFkVAjPTVHQJ624/9E+dxpG4fV/84/wbd8usyZa7vg1nrVryfnNbw5ol/CXhX+RhTwra3aSWpEBvRmYxw6ddmww62TWyYRjC9i0rJ5ty/fJAn+hQET6Agr17cRjC5l0XKH87H8bRLu/5uHnmWpPVJu3HJUrInrSCqkoVmxmwApYZ9qJlLiUsZ0gF0UB04H49C7wdKFv3wPqKnzdWpq+yiTgMpKz+BG0xlixq+HHwaiEmp2OKljzsHyqVSWnxOtVe0jVJqxLWPwH0A44nruXyb5eJQpLfvhR0rrm8Hj02gKFfXOUoTv1FvQizTeumr7354qa9lBwtcqAgGivxMKsseD/q8zciVoyCUUc+D1m1ClZMHEs2HIUcYbegn1w3QChTBWLCAwdqbpSjG3+N0CknR9/l6K2FQIYgT0fKYso8iTIW5GROABppSki4Qg1KjT+VMLmdsg1H5SwlTUQ9uzBu2UrbZsqWdE1hYhaUQ6PPmo8Rx17Ft7Nx1DrOh/R2l77foQzVsObi2wcHx5O9hInpugOjOZOVFp4XWfhhIAKq4jgq3WKn+nMa5Q52n8hdm3YJAlbgSnZU6Q1xH8CyaTt4StODxdqlY70tLmSvDWZD9/f9+tgx44dMqgugt3Cl/ZAEJYE/ahYCkE3Z/GeUtT242dAceZJhuiPfhDzs45j7ePk735XXo9ZIbsUKe1QNTOx9W9khiME1HP4Yfh6+dG3TAZORhkzCPHTNBo5O6TUbPBHtFS3ZLFzWGI8EjAodl2txlYiqgj/yH6DEWPGM2FNLoSipBtymKM9hQ/v/BOLbv8hKUN4u4rgqPPjj6Gmhkkb7qdqxDmMHltO5/fvloHetp0VqBs+IU37cb9dnxTEjDm9v50T49BJJ5zMxOOXfCNZVr3+XrwhrywCKzKfxKMIqIvMX/Eo34+GZR2YIntyEGRl40r8YX/ic5HYusEATU+9j744C9sxE5iRO4Oy1LKkgsnid216W1Lh2W/x78W/NBu4++67+fnPf85NN93Egw8++M1t1f8xiBTb7terCPf40RfbsczIwTQ+I4mA+FeRYtZJn1qxiGrpUX+Y5X/ZRuWaBKEkoFJFKXXUMk7/NgXhFahSbgPTAJWV8CLSmkQpWTClQcF0haAVRK1Qxx7KSF5vUT43ONVHeOG2VyqG/yWDUprFewMhIvgiPWpwipQpHa4VqTIDVGot2xXTe0H0GlPoePp12j9dQ0StQ/Prdp742X0gDrMgS1Y14vIrg+Ljih3cqlnPpvZOfudI42cdvVS2/pSesPLdwnt0nzPIUY8/JtWTcSy+1ozRrCM1NvHqh/CMff5cKtpy0aKnxDZOvp1myGZs3iwqeF82cg9ufJBP1z7AXa1tlAaUzmZDZCTrA7cRUUfZ5kllm0dR1wkcPSGHB78zSaYhZ/xwJ0+E3Ny1+i5unnazJGzlIddnMGmi8CyNNf6iAMI/L1MGgMpZhxN+B7MU71nRKIsGPr6IBls0vOL79IP9ugbh888/7++c33nnHc4//3zZ6WjT0yn404PUXnQxBIP0vPYa+rJScsQEUhTg2fE4i5rziJ4yh8d2NtHV7uNFvZrxAS3Hb/ZgCEGvM8BTO5qoWetD99Y26Z+6cFQ2s4JqbGLXYmSWuI9cKxvlorbppf9mvb2Ht1a+10/+jBs3jjPOOGO/tBuZ6jb5Qph0gXJ97X6Pjszh/Pidc+jx90gv4suzZnFDUw26mddJ39+D+dwKM/q+DqVjzh+RgmnN29Te+TFqi5miv/896bMHUtFJz7dRIzGOHCUfTeMH2JVo1OQOSyV3WHJhMVHorLvFI1PddnzRxLCpWVhjRWSampokYSuwecwYVEuXMubFF8m86SZSTj1FSZ8VgwdR+VUs3bVKNLhl6/737abn0dSs4KoJFzN/cpgdT73E6KqE/UlHShZLT/8evcNGYEtT0aGFjGGp/MBoJ92kk0UVd3+5gb0bLpKdzQc9P6Za9xFvhE/gqT9exJ0qFe2PV+Kng5Zhb/Z/79H2OdjDH4LFpZDJQgG9xQg6k7JoTejTS9EflSgWJpR4vk1vyefB2hX4t78nr0k5iRwEQfofCNY5efj39ODb20Nldy0r3lzBaScs4vPnnyRXPwznpw2MvHwRU76zfzqjCJoI0jYaDTA2r5fsLIu0CGgoSGfUtj3yXnQvfYUfTNjJS6e+kkQQvLTzBW7cqly/PbZiOvO+wzPHjaY1VYdZFyQn53Rcrt1YzEP74rbu2M3czgyGmeejG+BJKAgx87gMbMcUoi84gkIg/yb4/X4eeuihJHuJgVYskyZNkvevyZTwBnOkz6Om5k/yeWfXF/2k7UBoM0ykZRRzjOcqlj2ifPajx/7KZff9Fb1pf1LPbDZLhfSsWbPYt28fBQUFSQPoPbt3surjdzGJtPKdO/Hr1Oh9yCKYU//yF540pdLlDjAyxyYVoQIl4x2StBUYWeVhW4mBnmEGzPYpUK/4PU4aUJB0V9MWTopPhCIR/JWVcul9VfGCU+m1GIscmIodpC8Yji7VpPhvjz4FX20zgbo6hWyNkaziUWagCEufvj75aJ0zm6xbbtkvgCQsfw4F+4knJpG2oZZmWu+8S1orP36Cmo+nKASmOhLlxjf9FPz55+yx21Hb7dhPPlmSrcR+J7otTKBAgzbVSkfw1wQkYavgnxkaXuzw99to3H7K2P5zYV+yRH5PY95cSdgKeMqmUfTrG/81sk8QD2JcIsh3QUCIdj72m8LLTvjZtvz2t/S8+JJ8r/ORR+Xxzr/nnn+JSJf+imowdY+kqPYnzBvdRG2lQuMLte2i4kXKdq15RAbRI65OVlWMwtK1F9Mny9GZwpQsakejjypWSPmrlGB6HMLXvvaLxOuOmBRpEPRmB8XP7aTt/vv77RL63nsfrV1P9i9+NWRVcDFGWFi8kJlNo+lhbxIJfSCYrHpmnzWciccVsvGDOrZ/0UgkFCXoC7P+vVrqd3Zxzs++OfuJbwqVH31BWc8oNLGJtmGSg9TThqEKB0kb44GOr+CLSujco5CqHZWYB6hPyZsCZ32W/KV7WmHPx5JL79hhpX2HPeZTHqanspXiB36JSqhARWp+0mQ+DxbPAm+Xkv02YNF6urHGX4ustrmDlHedO6Dm/SH30agRgetY8Dr9GBjsxW/N2p+0FfMDW7aQySp/FwSssKYaCGErcFu74pUfC0of9p36bybW4mSGIChEvxsnOOKPA5fBHtNtnja6fF39fx+8jnwdiZBiSJGp+AeEGIcKj1thWyX8br+4H3pjxeaqP1MW4Q0ryFvxKIpZq1VyvIszgDZG2oaiTsJhPxqNQbFDEqKJLVvxbt2qFFTcsUMGBINaC+un3ELQrBC2xeMczD1bCfSI/swydy7G8eMwTZhA+YQJHONwyOAC95Yr4y9glcnIHZkO7s/M4tKceVww62dYxXn+L8bnqz6E2CU9I3toBbNAIByQ87P4o1jEedSoNWhUGvmoU+swa82HRfwmedr+G5S2qanTmDz56W/0O8X+trW1kZOTLCYQYyMhiBkMg8FAcXGxXEQQPGk9MY8QGbXbXlGEYEdkcaLMY0Sre5rLzWOpKYRVKj4zmznX6eI49Ub0BAigZ2dTH1PTzeR2helocNFRNgqbtxlDhp5wTS/RoIqudKVtCqtCVFhMlAXsOG3r+3+urP1Rso++mH2fpqDDgUFjZobpeF79ye2oS7WUZugpzkknv7AYfUYJ+qKjZIEyGdRdtYqRu18isluEnmObb4pg7vsA4lkFeiuMO1Mqi7XmZKHbwQhbQYg2OBv6F1HvQjzaDXZZL2AgfrP6N3xY9yGHwunDT+fOOXcmvfeTFT+RlihJiMK8LQ6GNVnx1bSwsWoV+qu1SaStCDKf9baiEhb3hlVnxaq39j9adBZsOpt8vGHKDUnFDRtdjbS6W5XP6G3K57UWeZ99i4Pja488161bx6OPPsqECYc2Uf//Hf6qbkk0CYiUXLH0vFONZUqWJHAPpr4Vhbg6G1343EH8npDy6A7iZTa2ygABAABJREFU84TkY/w94UV77i+my3Vk4Y6+ZkwaV7/3qUXdyVjzh4wxfYRF060MFEV70RCzLIhDdEjnPq2kHonKkd+U154ge4Xx/0Dz/zjEgO/UPyuKXEHgisd46vZACBWvGCAOhFAKrv+HfNpbZ6JpfQGbJ91MSGeiY+RqWjXKoCt/ZxeNbcpkWRSU+fOcFkyvP0AJUWZ5faRM+zFNM48ht1VFe1OQ9nqXJMYcBcnnJqc0RRnMVK9VFMIiSi7SIDr30NAzAb32BmwxFVwk6ifjwon8bOwMbJtyeGrHU5JA2apVcXeanUdblc5shno3r+tv55bgNeyJJuwmFo528Nuzhks/Ywm1RjZ8S8qWSGXoQOJVLCK9Wu3u5KJNb1HoUopICUFvx9HnknnUNWxv38blyy6XJO2BIBrcNGMaf1/0dwpsiW3Z27OXiq4K0ielY6gy4Pf6pVJuy5YtkmQRME2cSPbPfyYnuaJSpj4/H8/6DfS9845U/LTefgff//73+e6VV/FGWw+vtHSz2eOjOkfHyevcVGZqqNmnTHqC4aj0Noz7Gw5zWJiXZuEoL4xq8qGNEbgi7bt3zT6WGVbLyKmAaJNOP/101AdTRInrWigZimdjCDhlFP6jOoXkfrJtNVtCPv74xlVkf5gD06+EKZeBRVFAiYFdt68bbUTP+ncVdaxA3rJ7aavbrGy/Qctzq3+LUWfCoDXISGRJPqSV5xMoyyd/0mwyJkzDMHKkVDW5Ai5ZQVx8zqtRYfT3SgJdvB7Kg0t4nIlggjDFF77URWMS6qy8vDyOmTeP5V8oE/dNU6egXree0M9/TtfTT5P141uwzpmT+DJRMOK424cmNb56BOeG3TT9agWRkJqBpVJSTphP+XUX0ORX84teDe5wBEegh6sbX2H82Plk1y3nyU3FOFoSg+UWYw/PqE7EGM5i5/2LKVTfQMhfSGf5UiJ6hcTLcdmwf64MLCJRoSsRStdBaQICM66BkwYWxjgD9XvX0/yVXW6r8LysOeMUcuZESR0TJ3sF8WuGRb+GggFEgSiyICwjdGZUBhuuiI33ajupXqNcjx+99LxMFRqfPQ970EHfI5W05e9g2CXz0aclSAurdRRtbQph7nbt4uxpY/jjB7t5xXgsp+d8gbvFSGZPFDbvYPvs7YzLUII761vXY9xSRXZszt86bA6NgSJ4tZZTbpgobU9Gj/rd/sdAEvgeVr70LA3LN7Mw94L+98Ukco+mmS3aeopMwzg+pVAW5fuXIfylBxEHyjKAUJh+FRTPUibFogK6uBdX3geOcgzC2iIrk+oa5XxbrVbpzSvakczMoVXAwk9Vq7UTCvXR1fWl9FgVKftDYewxx1Hx5Qrqt23G5Daz4y/vMfnHidQ0sU1C6Td8ahb2DJMcOA9V0E0ocAW84TC7R46US67XxayJaehW/5rCrt0Uikl34RX966QX2/CpIhijakZ0BvnDn+4mOkJNWs+7/Z/Ji27nJ42XMzxYwOTvzafy/lvwORtgXy+2x72yYFz/tgZCePe0yiXd/BlYYkq8svl0PfMsvW+8ccjTpR/CikO0OYdD2nq8NXRWP0BR4WXodGmE+/pk7OyJ4wcRtm9FOGq3SPN3sk9vJKexor+ol/yMLkLWxD5hakmr54+Eo7nK/gW9+Le/wuy2bTx57C04dWauTnMyPCuh9BQVyQ2XfI/qxrGyeIjAsZePO3LCVgQzhd9+3KpJLIPtn8Q1df1ayBguidmcX/0Kg76H1mc+kBMZ7b5PUD02X1EBirGSIHvFREM8t+XB6QMUjwKiCFHrzsTnIyFU7g602lMg4EBbWc7Mjjv5Z04GE7KnYtTE/DMFq/fZXfgiFj7s+RENgcmoIhOYYq6XGRnCCzh7cix3WShqB8KSkSDXBEQAfigY7DL7YqBdgtYQJDP4CPzuYSWVfIA6d+BjsCW4n93DoSBqE8w7bwSTjy9i/ft1VHzZRCQcZeLCgxSB+ndB9G1CBeXrU4hOscjnTvm8o85JdGU+Bq2SydGt9jLunFHKJFtk6Xz0q0P/hiBzxe8MHEPPvA6/YyFNj76Hb5dCeguIcUDO3b9HNWxQMbKBENYAYvw7eAx8KAgPyqmXDmqjB7TVcSJ4sGWAgKiDEPITsmQQMDsImlKxWnP7iWyBdk+7nIQHmtcSiAQIhoPysZ8Ai70WY8szys9I+vrnK55nT8+efnVYnEwVr0PRUL/q69iiY6VP9sA2/Jx3zulXkB1s/QcWPMDsvNmSlBJel+va1nHtJ9ce1qHbesnWJGJFjOGf3akEOA6GWbmz+PvxyUH7Hy3/kSRdMs2ZZJoyE49ZpWRd8ByZtatIX/0w2niRJxF4EcEAoUSMEVmGTBN+ZwC9PzWmL4RAoA2TqVCq8Buu/q60dRuMnaMvxWtWFLkpeg/HX3W0YhPg60Nd9SFFi3xgb4YFNyVWMqcrRcRELZPy43lU3QauevoI8+eW5Ty1dAO/POqX0gpHEC9xiPNe1aNkzwwmxAeS3OLczMydmWRJJoigzW2bD7hO/JoSZM+lYy/dz7t2e8f2/s8YPBoCKldSvYCXd7/MycNO5obJNyStO/P5mfJ6ORTum38fx5cc3/9abOuVy66UtkCCcBLZJuK5GO/ckgYaFVS0ruQ3b5/Fsyc+m7Svb+99m/dr3u9fZ+B1Fi9uK+aLZSll3DjlxqTt+MPaP8hrKf6ZwevE3ztt2GmcWJoQATkDTplRKKCKqjB6jBj7jOh6dWj7tKhCKiJzI2gtWq4Yd4WcAwpCdvXq1egNelRpKkxZJsxZZsxpZimKaVG30OHtQFOnkfth0piYXzgfFv8OFv1G2h00bH2eLk8b0ZhdSUSjIyoWg41oyzq57eKfw+hguCiOXL5I9pdnLvspnU4XZznd9B3zMz6zpEtB1tgVajaJ3Q9HqcjUSNJWYMPnkylzqxj+yccEN2+gt/cJAjGysF4XYaWrgE0EsZraJAeSHg4zon4d6rIT2Gb4mEz/6RSSRYN7Fz2uOkJ7rNQFyqHFj3pzBXl8zqjjIsydO5fCvz9K6+/vpvv55/uPr84comhBJ3pbWMm0EIGZuT+ko8vNa7fcyHFXXsewqckCnIF+8S/uerGfpO0LDG3fJtSygyECC4cDcQ8NxpDzZBV0pgQoaxL5TSqGN1qpueMp7lc/g1anR6vXE9GqOMOfx8qJHbSnBej2d8slvVdPRo2dgDpCmyZKWB1lfXUOFpNNrieWL1pWsazxI2pzEzUpBNJDFuwqKwtGHs/Nc35yWPv0/xu+FmkrPOguvPBCHnvsMe66665vfqv+j0FbYGPZ0ZlY6pzMqfNJrjTqC+Fa1SQXt15Di1ZNUyjKcVcniloJNFZ28+Hjh66GqokVcurHZ3cxztfEHv0cxpqXUWJYjzpGakkIawNBWpQOqNoYx4iD+2OJTlGoEgVxJVJ8RVQ5DnfQzdrmtf0d2MBIZfxRvq/SUJxSLCM0UlUw5RJF9RnyK5/1u9B27kXTUYm6bTeqjl2KPcPgSIxPmXh6O3Q0rM9my/jv4YmlHbt6lshBs77dTWejr/+C/9NZEzG1CZWb0rHliBTcr+5mGGJREE234dEVon1MpZivC0ViHDWfwz8TAwbRVzrDZ6FSXYIhpuwMhNvJNd7BjsB19O4bIZWxYuD5y4+uoz3oZLI2hVvKsnFrdbjVatzCYzX8CvaWo3B2TkBrreCr6Btc9eEwnjnxGRmJikMUfRGN42AUBYM80tJOYUgZfAQ1KraOtdMT/YT0zZdjyLuesD9AplNPep+etNhjilsrO/A4OlL8mE9Knogt/d2deBoVL6uwJRXylAH+m6+9ygcP/Bp1OCgbd93s4dz46j9RG5RBZvqvbmXrulWUtCiT446//IV9rzwPJXmcrVbRkp7DtmHjeXPGGDwGE+psDRO8KlzNblq7vMzyaVljDLG30y2Xp6SVRYCbXBVM1+eTZSiS19PiwCTeM21i5PjRnHbaaXz6xMMyPTpNl01fsJOwSA0cAuUzZrP4ez+UgzExgbhv/b2EomE2Go2cm5/D3W0dzPrkNwQ/uoudzkzW9+TSFlCIfPui6QxPncveHpWs3E3LDj4cV9pPlqv//CV+Ff2Da0nRiwIsHe3Mm11O0chEAGPpq49Q8+6nQ26jasD/PSkqfvO3pf1/E8GaZZ/fT9vjlUQzzJBtQ5udii4zFfMIM55KpVPcMH0a6kiEsl27aLjyKqmsEORtfZY4aypJDotF5xbxaw3mzBzUwnetpx5DSkiSoHGo9RFyJvdCxjtcv6Wct7IWkhHo5OaGl7i8+S10YS9PBrewp+YcinsSQb1V2WtYFSrlGKq43PIn0v3XEvQXEjS2012sEOZRlZYaVzqV1jZM/nQ6mn6GK+xgmHG1DDqtS6unWadUO454a4hsfCihmAkHiEzUYyoOcMwHWnRdWqIhFc0rVLgaunj0eK20HIkEIbLlISJVjsS6rhYiTZuIRjXM7xzBnvAkIlKiH7snqGfkCLAFlAGTTm1A12yg+e61UOwlb1w3uuw0bJHEOsLX9qwpx3Pvst00RjKpLpuGo70KbdjPgi1ROYGIk7YvVLwgC354DGAI6mhKVQZ2wromt3zowgDRYJjqrRv45B8P4+xUAkDtvn2kG3IJDtOyKriX6nZlAijS20SQZcGCBUyfPj2hQI+EcXU0EehrI+zuIuwRS4+ymLMJFc0hEArg8rnQ2/Vo3r+MPncLpkiUif4Qq5hKCI30j15lNNOn1hFCTajuSUI8hVqo5MM2KkdtJ7utkuxwmAUeL1M8xZj0E5iUGaWsOA+1oxWVvw58eiV1dPA9oNJQkH+RfJ7uEH6pBw4misnPoqu/x2e3/ZmpaSeg7tTQu6qelNlKWpgowrLmzWq2ftrAKTdNwpG3fyp4eOtSJq9ahk6dwr6CAiKx49VssvJ6ZZAPSGESVqambcMxgPs3GbR4dB0YA1loVFqGt/ppEW2PEteSMKi3s8h5FvoyB3qbgy7LFsJGN+a8XEZ21+Dr1uHt1OHr0svHoFuLxhhGa44xliKrJKUQjf0wVNNajWKVMwjCnzXidqEWntd2m3xU26xohEpWvGezSrXs7sY7aal9i4aGJ5k44TFsRcNw/P43tPcJP8YG1FEVP26cyNFZZkK6Hiq8AYqq9/QXBxOwn7SYrOzVRN1WOgJ3ECGVdiKkte3Ct+kZot4uKYb6/qbXMIQDzLMGiN6SKGQWiUTZpJ1NKKz09aKY1cAg1eHA3/AVbc8soVWjpk2joUet5gJPYkIvsNJk5EuTEU3F02jNjv6JuG6im4wTPGRW6tg8o48sZxsLPclE6AaDAbc9F23jKmWMI9ZVadDtfhtt/SppeaKNRkmLhEmJRLFG3ES1WtSqOsyhIA8JJfb4qyTptLxhOaFwEI9+JM1NPyAUipN0ajymTApzm8g8fRS7bVY+wUOo6VNC3RvkupK0CgcILbyekEolq4ybUXNryenQU6dkVfTU8Un3TnbrDWi3/l0hGfK1mP94KbqvnmKr1oyWKNqoi7z2LUxoWJfEO25ONeDPOQZT8XAsHRNoMuSi7etDV/WhvDbDRAkRwaGzYxUkhQw6qnCH/ex01hNML0FztIaycVG6NkfZa15B5fo2QkIBGQ3j79QzyjuZidOtaMW4VqVmXVcFq7t2EjJaFUIutq+CYFUHfWgiITkGyVbrudRankTAvutpoDlzOJr8KTIAKs6L+Kzmw1uln7A4N9FQKmnOclSeUTQFxtHprGdGih6rNo3eYC9rQib6WlbLvjKsCRMxGeXxFSNqoQKb4fWRLlSZGcMl+dlgy2IlHiI7n5PHQxKJoSA5S9dT+vIq1EHlXo6qVNKCJOP67/UXsHln7zusbVmbRFhJ9yLxLxqR/ZV4HJ85nqvGXxW7R5Sx/a1f3Eqbr01m98WJLkmHxEgR+R1EJCEjyCfxfjAYlAHjmz67ifCrpyQI1xjZKlWH4rvE/EEFH539kRz3i98Uy3t73+O+Dfcd9P6LqqKU2Ev6SVu5PdEoK+tXsrZxLZqoBk1EozxGNWijWvnap/XRbeimJCWRAv7ZZ5/JNG1rlTWxzhDrbnZsptnSrFwngkPv7OSvf1WCKqepTiOsCiuLWnkMqUL9rzdmbMSv8cvjL8aXQm0o0sPDzWGKncX9n+tfJ/Y6qAri1yqpxoNR2V0pi08K8cOBIEixH425jEt3fQFde2HuD/AR5e3dr0iCt9hkloFXW/Ms9rWWoLPnojs6Vdb46Hn5lf0IW11eHsaJE5g6LJ2V1SqiGg0zr9Sxde130LT04K+twI1okyJMU1sVy4YYIS/Ue40OO660+bhCXfT4XPLeEcdEQKjzfvbFz7hl2i1JBKpQI39n6Xc4HLx9+tvS6i0OIUa5c82dGP1q0vr0pMs5ik7OUyy+BF2xYwRJvykC6p13v0FmbNsECk0j+NusmKVUSM/8NzTSWqLn9FoY4FpSs3kD5y3LjSfyHfQa1ixInn/ufuM9zv586IK2oXN1aGxB0oIB8j7pQn1S8hy96sEXKepKBE7l74uGVrSXclGhCgWomdYMMdJWeMruq6km/I9t5MjPKp+PDl5PtIl9HdRdXQEx0vbtt9+mbm8lBS12+Zmo3qgEEwdhw64N1NvqObP8zH7S9tprr2W9ez0/X/lzpH/ZQWy7hbDoy/O/VF6Ia2nE8TzStoK3925ETsMGTsXE9yxb0f/y5LKT+f283/e/Lmjdwa+FhYggqtf9iedSFAJWw3CG585n+9j5VHgiHFPlJ923E3N3A6HOZmnR1zUig4dHGJkZi4HsiZ26YeZGaiJK/32U10efOQ2GzecUvYWOpvU07nSwYZ+S5av1ujDt24u3cDgRlYZ95JDSrBQAlUHd227F0PM5Wzf5MOt9ZE/spdOciWrUElTTLidscdDSUMOqhx7C39nNm3+8k7ZFWVRmdsv9LLOWycwzMdZp7Wnl072fKu21uNZi8w9VNEqKS0uqU4c+qKZ1tKgF45UezQLLn3mMnI8quSSauI9UQzyJlqYxet6spHP1zI+/z5ktGUTJGGI9FVFtBEKJe0q0M0G/Ty4CQpu8eG0uUXFpyz5GMsPoIsnX+qaa/cUF88lg9rbku04TVqGJqghvWA8DdEXf4l8kba+//nqWLFnCcccd9y1pexjwaOC3Kg+eUTqKMlVcWuVnSY8YDCi3iCUQZlggTG4kilcocgeQtiIV/1DQqgIYzBbCwUiCvC2YwWjzjYw2x4ggR7licxC3OsgcKQlQMQAODGgA4nhq+1PSCyhOzopHkRYkHgUxG8c98+9hcUmiSEOzq1mmmB8O4oO/OF7Z/Qr3rr/3APuoRY0azfMzGJ46nBeWvKD8YewZBFU57Lh7KZWjv4vTrgzu3MYIr85JgUAE89Y+4gmpM4dvoF1E+466Fj68jWgkwI8z0tGoRGMhOgPRWIImGkVNM9pQFHXNW/i6N3L5uMsV9WksJWiFycgf0nO5rO0yZjsTBFxfZBsjTXehUbsZ/e7P+XF+MQuv2sKkrEm8eu4n7Oyq4K09b7FszxsweD7teBur4+3+lyJifeWHV/LIcY9IBayAOFf7kbbRKHe2d/UTti0aDRVzFhFB+EBG6Or+kmjHZq7Z5sDdfHBfZUNUR4o+mTgJBfzo48Rdbx9eSyehFIfslIOZJZgaqqQicl9vQz9hKyD8/3Zmp+JVwejmWFXwtm4yu/pot5nIsLWRsa+aeSuX4r3mMvaNnsJNxVmMtZp4+u6PcNdpGRdQ8a45TJ1OGQiHUeHqXMPnRNCq9OTah5M9/Rzml57JjAXlMnLY5eog7AsyN0tMElS0+xpo9dXR5q2jO5BI91tZ9zmL+aHsNC8ac5GcCH339UvxGMN0aTRck5PFdT29fLenj4kprXKpd6ewqTuP6GufU1T1ChmmTHn8xSQupDGi0qQJRg1dxC+iM3KLB0M/IH1dHt9gIHF8D4ZAMvkcDUVwVu3D2OgFsaAc47AqSo8tSDCjAItBIavWzZguiduSujrcK1dS8+WXrJls4smjfEyqhZm7okyojfLuDBXPL1DSwQxFuRgKc7lvu4dcVS+2Qi+WbD+vZ07m5lG/JCWq5o69f+WSprcwR/xsMuj5fcYwRlZdQbGrtD8t6cO0ejr9efzd/CLVjhr29l1BmVu5Z5pHvAxqZb8+6YWlwXZUGZl8p+JmUsKKUr7Sd4xcvL5ONmV+TmXmOnyuXbBtUNqWGNSlgOpSE2d/FKBnu0KZO6stzH4dHjhNQ3OGkJ8rBXXUETWTOidhCjswh07FHDJTGU10iyn0UqRfxR15HjmQKfD8mqvrljA1OkWScjLCXW+lqc7EKts6To4+S1a5H5s7RNqW+/lc9yQzuIVJfSXs0F/H2JwnsXSup9sG71a/y4m2EYQjQT6t/4TIRDVfjE1l/p4rKe9WtiGjsIO9G/8KuROVlFSxzfuC6L/sJtzazZsVj/Vvq1bIOrLX4xihY5+6nenhEOk6C1s7Cwj4A3Jw+MEHH9BZ+xaW7g9wBlws6W7nZc6hgaHSHEWxLKVglkBFSgU70yNgy2K618cjLV18OnBk5VN8xYeCs83P3lhRidxQiAWeXYwL7JI+v94mFfOL8skOhSWpmz1iCdmpZWSbs8m2ZJODlmxDOmWlPzxsP1Fjqpr0Eh/qPmXg61xajyHLzt5mtyRsBdy9AdpWfICjoA7m/Shp/caf34Vtby9iiOs36Oicl8vOjJF0oljSeDCzimms2gG3nOiSauE4dKLiXJuiaupwjKe86nX+OPF7XKr6J9m0o1a384p1J+kaFxcZF6LXZ+L1uvFH+nir+Bc0pQVRDVOKtkniUhhAhyMsNxrQaVRMKLAxWfhnLliANisLtc2GZuPfUHfvRKOPoNZFpbJVo4tI4ahK9SI8+CXkTFB81SacI4tHHgoeTx2t7UqASKXSYbONQ6u1kH3GOTwaOpkffPYDOck6ZdgpdHz+OXtvu52y1pb+9UMFBZT95tdYZs8m2t1C69+20xTQ8RBuqXZ5KbeVFNt0wr29hPt6WdjTTlQVwTz1aKI+H6qYPcbmj+tpqVYmt/YMI7POTC4MKCEIusaNNNV8yltNn9OWmk+ryS4JhFZPKx6PB1vGOGxBG7XWWnkvnxPSocsexzpnJu91FhH1RpFzOWHxzUDyI4f61Etxz3HzYdaHTPAHWegNQDTMS+GTqdKUEvSriArB6+OD09BF1fCJVNuq2erYyo1dPVzd24dV+z6/53uEKCEQPAa2AFsUhb6Y+QhyUB1dAo4q7D06rE4943Y8TvmFx+M65Q7uevbZ/tRutouJjyLRF+vFrkI5uH+z5E0sBgu3zvstFE7nq6++YsM+M62+dDr8HUTqNkmySRBygniK6MYQVo3EpXOx176Xs5rc2D9SkTGjhzuG5VPm11LnUHNC1gZcWRvoiHq5/Z2/KuuqFIIwqA4S1AT5fVsHJ7s9BNCyl2JqNQb+muaQxJo6qk48fqjpf74zbSfHVF1ET7efbR83kpuyjDq9jjaNjm6NHnXE2U/OiUWFCC6b8Wq8vF/0PiP8AS5tUpRP/+QkdlJOhBzYo0pqyxQohKfan0pG90TiV244WE/Qv41VbdsZkzaXHWl++qwR9j02cIKpKDW/yvqKRksjTyz8G+kF82hoaOCJJ54gijumfBOWOPRPvhujOWw4QykYN3P5mzy5RMPLP/yBfL18+XJWrFgh11PH/mnRDjinCjoNnSzPWy7J1zjEbwpiUY+eAg6sXN6ZupOKtAo5lpe3jd8vbe4EJg2MLA2Bz3I/o8vYJQldgYqKCv75z3/K52dy4CJ4gsh8u+RtSf7GIQikTZs2kU02p3DKAdett9SzLmtdP/Eaz/IU93MJB/fyzDXkYk4x96vXBTkdhyB2xSKx//AMW4ENtUGd5Bf/sfCxBKZxYCsPjU1D2rFpSVlqTz75JPX19UyJTkH8OxB2pe6S179N1J1YeB+Bra/z+7crYNkf+klgcSWoDCroE82EEXq6WX/XvWSkdTL3k69In3UUpgkT2ZefxzsVFf1kvbDuwK4QmKo1mykq2o7gaXZ1Hc0jpu3M83iZ5ozKoM7SNbtklon4zZwhjrFL62J95np5LcSLE8YJVGGT2Nvby5nRgxdF3OTYRI29pn+/RK0MQaiLINNZg9cVPJ09IX6w7N1GNJSYg4o2TYxrosOSj+16fS9OrfK5NL+DcNEEjNU70AwYe7/wwgtUVVYSHa5kqR4Iuu42DG0NkjiP4ze/+Y0SLDnAuj3uIPqgl1BXGJ0IKsQER9XV1TzzzDOQPoLYcELB4KxW0cfv2iDbjf59Wr9e7i+5AzzMh4DG1YteEPgDmixxDXb2usA09ChNFQqi8jqZ0Gkk25yG9pSYLYzBIK0PwnuGuFGGgAgCDsbA+/dgiCuE+zHxfMX3GTjV5e4nba91TmNx71ROGBWly6bhodPMPL7pb2SsUlbrfWcpPd8/ncLuROZCjSAgRdZo1tL+oPJsr49lGhWLRGZNwQxZ2zHzLPjqw3txP/2pnJNp3X2khwIY9Bk0R11sDW2lfn09qYZU6Q87f7iPFdb5ktSN7QSIuEzFa/IcGhur0TmV+Xq3LcQy9XrCPVEZwOmt6uX99xNjhgO1haqAD9veHaRb8znr+NtQNwV5YeUbUoghUSbGGQe+do2tDQy3DZPjNYE777xTXrtRUZCy7MABcNO+PWhdvWSVDENrMOBxOensaEclxqTRCKpIBF/hCCLGhMhL29uJrnlwXzsE1Fr8w5P7HGNTLZq+zm9tEr5J0vall15i48aNsuM8HIhBgVji6OtTJN/xKK1AfHISj77Gcaj3BxcvOdL3Bbkz+LuP9P3D2fY3OnrwGMRvq6l3aLnToeWpjiDn7vJzUl+EFDHZFhHKSASzu5uCSKIlV9kDZM1Ro9H60Aca0Xqr0Tsr0Hlq0aud6DVutIL5O+H3RNViihnbxpJ5VMy4nEqbgx5LOj1RJaW7p2cj3a2fSPJVLMI3RaRP/H5uIroltvuZnc/0G7gfDN3e7v5CPTJqP4Sq50AQ6s6B50QQyAeCTF0RhzeCjDKJ9cT5CBUeQ/3PHqe68OJ+v7uwLsCz8zPoNauxr23DF1bOS7FpLzv0r3Pz8n9ywcjz+fGJf5BK3WXVwg/2IGhbLZfji48n35qPKr2M6OybiESD/HzVREr9CcLjuYx3eTN9KX9uCzHdB5ZolPsb6wjv+gDViOMxaIxMzpzMx3UfD0lMiyIkIlIpSFmRciJQ1V0lU8imZU+Tx/jq8VdLiwORamMS6ffoiXa4cNqq8O24D29Ezwf7JnHm1IcJhnazs+KHBALtqDRuhp/spmV9Jq2bREMd8wzMyEJnNPZfv6NKyuREIX5exbHOyi2mM1Tfn4am9jWD1SZTXcLWFHqz04i6W9FbM5LPqc+HhhBVuWa6bFFmVXXJYkyGUJiCbhcOl4edBXo5YCmL7ONXY8+Qv+nu9eNrUhpuS1TLuW4tm3I0LLeFCWgNvDPqLMr3rCG3tZpm1Sbq1UtY9XEbhRuaOHZUFoGwkZK0YrSxAVquuUwuAr6Ih8ZgHY2BGvp0DTJ9W1xL4nfHO8ZzQmUpXxY00JbulxHsv6WlstFg5A/tHaRHIhRZeikw9/JVlTKgNfo6cc84lebyhRj3RZKbVU0FKs06ReUSU8mowotpWKqhN3WHTPHVGzVouspRpXmJEiCCUGr4CNEhvVETSpkIQZs26fgGml2crb2CqvQNbO1eQSSmNBDRSkefnmhfG/5sA8H0bHmM1846Cl2Knfyt2+R3jtvp4+FNEXlO4hDk7fPHRPu9vYQereEvdzLZMozwpue4L5jHC/rR3Fr3Ehc3v40pokzinrXbeNgynCUV15DqUwjGgDrIWxYfC2dO4+bjx2A2XsoXz75NWYPSxjlTKvHmKP5SrjB83KcEqabuO4GU3v1T1k0eB7PrzmBm/Sl8UfpPdmWvSRzqiAZTyIQpbMKdfTy7v38Undu20bFzJx4x4DCbuWBTDX89ehs+MfGRiugIRe4iSQAMhGiSZxfAvIwIH7kzIKiE6/eZ27l99FMM61zKlXWLGWeYKlW3gryd5zqKXo4ib+tK0nV/kJYOGxwmWlO2YetWCOzuEZP5asQXPJ9uk5LfazYp9g4pETW96ii96cei8SQKBTyifY7m3Xsw7Y4yxjWW8zpPYLxHePSq0JKOLjOXYHszRZZuFuXsIdX/Obt36TinQEk/xwD6bD3jusZR6iqlzdjGz3xfCJ4DzEaO6RET2MMbjMcj/wJ95lQ0k04AxQ3koAhoA1ixEK85nZ0zmaixW6Z+qkJeqXz0qtXU6tXUCufDhk+UZRD00SgvBlMpd4yRvo/RjBHUGq3sJUi2LU8GAEX7Kdout7uO0FFv073LRlr9Ikl8tj+xiQ09cV8gKEt9nt66d/i8QUMgf6y880T/FYwG0R9fwLBHe4iIWjjzezh2lJkFjl7q9Fms7jCwu8nVn51w19q7MJvM0u9OtMnBYRBuE8E/FR0Z4ynf80+MzT18lneULKbVQC6eoB5DUGlbhSe511tLOOymR5tCu/BoHwpu5T6ra+ujJvA6Z599NuaZM5V2e3gAVcMa6UutEun4g8Y6QjEvlqjou8YlqhVLEmDFH4iIQjIiMCBS4FUq2R7W1T0qbSgECgsuRa1WSFTxewa1gb8d+zfZZu52eXjjwxWcFiNswxo1u047jRN/eSsWi1l+PmDN4LWxufz5qzp8sp9R8+SkU/njWRMOOJYKhoLU1Dax5q14GnmUrqO2c/vad2jrq6PV2ciP9YUc3VatFD2NRmjQp/Fq+jBs3S7sQTXZwWyGB4ZjjMRsB4T1iKkVr9ZLy7Wfk28rILp+PVHpAa5KUggPRvx8awtnEr36Kbw7tuP8y98I54iAcsJzfSgIQlIgOOViImOvQGXNJHTPQ2g0TnJSWzCbe+nqLMDpHGAPErOEMXrbmbT5eUw/ugDH+dfhrK3t7wMEsXcoiHFF/PNOp1P6Fop7JFNOUYdGu7GdWssejl2Rja+rh8925vHhZLE9QcZEExO0zT4fC/sWJq27JX0Le1L2yCCmgAcTL3OqJMemDXJyGIxmQwcl3Ur2gTuSwTbfsbgMVXLcZ9tfvLgfBrbi4l4T9OehDL4M4cS1IaDV5eBJz0Hb1cIGQz1BQ2ZStksSYuc8NOAYx8dRg8lWqW4b8NavLlITNCZUp3ISfaB1h0B8DnUkhWzE98ZTaQf+3uFgjGOMDIgOvJ4OByKD5+65d0svxvi+Hu7vLshfwANnPiCtouL7qtMdWMgi2i3xd7H8cOoPpe1OfAwrskuEalCQt4MXYZsQL3opcNe8uyRZJSDWHUj4HgzZtmyunnR1UjsWP86HOqfFtmJUDhV5ljwiQjE59nSibyk+6APXHXgNxf/2mnE7f/+uj40X/1320x27dhHduf+64oLNyKhTnkWFP3we5G/HmTOWyNWvSiFPNFpx0O21hWwy0P1p/qf91k6+kE8KEeL7fKh9nds7nIU9eVIcEj8+yjUhFKMHXRVjRhrHj1mw/30z6D5oEynwMWT6slDrdKTnF3L8+Ev6ryVlXD0EYTr4Ny02MgpLmJA5Yf9r+ADrVlYqAe1MTzcnThghz0vSPXeo+1alIkVYnU06rf/3xDWs03mZOu1tvF4bHR3FNO7b3ztZazSSmpfPySPP6t9X7UAfdjkPCaFxO9F4lEUdULKAhaSnrHC0VMYPvM9tW3r4RfQijLkONNmpqKyGfksSaUUSDcvxU/xeHciZCLsQkdYv8/rE+CJm+Sb7/Ng/8d5Ix8jkY+sopyutCHXIT2/RVG4qP4awCjLzbYg6XwvaQrxZoMepN/HVhIks0W9BHYC+ZcuwfvdCcl1KgLdTF6U3VuFXa+zsD3cJpe3vHemcpbcn7asrTcUn09o4bl0We0bCj/zHYPGaeMmxjJc9ywjsUMZikzInUTbjDiLvfH5AwjRO2EbVGlZN6CSsicp7pc/fR2p06Cw6AU1UTWbUTnYkhZyIneyiheg1RnrfrsYyJze5DT3ItWS02kjXFmJNdyTN6Ye6ZwbD5sjEnGpn6smnM2rOfBlweO65AcXNh0DInobLbCXP2S6vs6MvvFyKCtev/YpdwjJLXI8yWBNTig9A2GyRWTMjS8f9r+H3ot8QZ3m4feoRkbYiiiyKjn300UcYRSXyw8Dvf/97fv3rX+/3vpD5+2IFOUTBkZSUFEnoDqxOaLFYZHX67u5uAoFEBWy73S6LiIgK9qKzjSMtLU12tOK7Bx4wh8MhGzsxWB2IrKws2VGLtJk4xAHMzs6Wvyd+Nw7R4GVkiMmVt594FtDr9aSnp0vLiIGFVQbu0yJNiOBfriOg1VCfN4a6vCnsy87nb9Ny+GukjTGtqzmnNYs30z/lCtu15LUpkbCoN0j4iZ20W9fyfupKao1NIOZN/aJYcQ5i52H7n3g393gKcgqUfQqaed5o5p3qRLGbA6HT05l0bMQ+pRpTk0hb0agKMlGoPW1am1zsOjspkRS57/HzFHVHuaL8CiWtSK+VvklOt1M25nH/KZ1e+MAJpZObqCtxnnLNuczLn4fXF6uCGFvUWrXsGPxBJe0oW58tz3FWRgb7fnQLW6OTac9SoqxRdYDn5qXSnqpFW+sk0KNcHw61C0/R44Rj10Wfx0nHmCvQGrRwKNI2hqaOJrypXswWB51TbsRbuYKAs4pSfT5ejZ83xq6kNq2HWdpFvFOoI3XXR5R3VmMUN/ArF9J77D34hisVga8YewXfGfEd/H1+nqx6kqX7lsqOzxV0Mc4xTips45Oy2ybfxvSc6VJd0NPdRXl7Jt37GuhrqaS9uYmOfXVEYvdBjX4krpABfyRE0+5KUotKKS15gn2Nv8btXi+zZ3JntJM3KYV06w2k548hIztH3k8i2h2/n8T1MPB+WnSpogYZeD+JqG+84JUheyTnXnobJqup/1qK+gM4v/99TqiqI6JW8eTVpWycY+ScpVYyO2vRRALsLsnkrfnKZP96i15eQ+5f3kpYrWLKiFG8U68hx61Upp3cEqasV83SGTaqcjKoKp2IOtSB3rka/Ubl3mvo9vL0ajEoHYc6dQSvaxtYFLZxdMRObmxwYFSbGWYYLZejQ8gU96wfTEZr0sttn3vldYwL9LC+Yz3LGpdJRcsmawoNJd/BvutttL21uBqNaNzZ7Jl6PC2OSQQCapCF0ZMn0aPnzmPSCefLNkJMmHu6+nj797tp2e2lhYEptg4MLEi8VMGCK4eRZlcTbfISbfTSXu1hS2+IF+9cg86gRmvQyEd9IEqaaSqLMiaxvnkH3f46omGRItkto/SG1gbZOWqMNorq6jE0NcuBqugurb7kjsJl1dE8LIUJxmzc+pAkbUOEMGKkTZVJxfArSF9xN6ub7sIYTbTJfjHAbMnlDO8PMAeVaLhLHeLD1A5uOWsc80eUYTHp6ahsorRCUYyL4fLOcTuxqQxoon76DEdz6YipaPx6ohvKlG1Uw7yLi3H1+NizqYWOll6iqhAGfwbnTzsDY/YZchJav6mexqpE9Vpfi4/lKFXtyU6krwVGj+bJxb8kw5Eh+x+Py8N7r76Hy+mS17TNbpP9wpTJU0hNTZV6u+HRXu727qGjr4Mebw/ukBtPkYcvJnSwefPLTN1TykjbNAyaGKmVko0q52hCfa249H20W1fQW7+ElIiGpugETnGqeW6gwkJc20xgRfoi1M48SoSnhiBY1AFa7dUc55zM9b2LMDqTVS+t2k72lviZZq3lbEPDAcdfAU2AjZkbqbXVShXcwElRd844Cj1ajBEXaq2eerWfTcFW+V06jQaNVi8Lb5j0JkodpQxPGY5FYyHblE17/mLOHt4hxwKy7454pX+zMaLGXFdP4Ks1eDdvwZKejvE7V+GdOJKoNUq6Pp1Wt0j5jaB2NdPasorSfa/QEujDO0A9tt9+qFQ4mnegalQK54jd+Nxu415HwuNLEAoCk0w+LnJA28gX6OzNYnjvRFQRLTMtUb5whRhtepP7ylZSZYhdG1/8OPnHUmHG6RoaHSpOnPVDssvOl+1esSCYG3Zx3ycXU+wqJteTy6q6VYRiSnGB0r5SSvXF6Px+TqsS/a+KsoYGKsqPwdunTP4FnbTStYrHnn+MHK2fm7JERWio92wjokmXBKFQug8c/MXTpAV6rD28UfUGva5e2S/KvjJrJJqCMYzPGM04jwZ16za0HTvRdezkvlAD/mgYj6uSwMc390+21PgI135BeLfIWlTxfVeA8bYRaIom02JQMj58YTVXf/Uyhg0fYDbE/NrDwqBERYd+HFWmJajnn8iklcvJ0PQyfmINI2wfsWztSN4OrqSzM43dVZNwexLZGwa9nyrvUq5f9iiF1kI5Zhg43rty+ZXU9NVy+rYfkBlWgjebcz9lTefbwqtEBlmEQnRf8x5UfS76sPAXLiUQMDAvIfYdEudlnUd+QT4BZ5B2X7v8XaEkEsdREPbiGIu2SbQH0lNTTHCIYjVa+cWkX1DgKKC3oYGWa7+HubCQVIOekM2ML93Sn5IuEJ8giQu10FFIRl4GjpSJtIWs2CM6Oc40GFopKFRSSYXPn9tVQDAUwhBR2hJtyEN5w1LabzuDGcefK/snMc4U3s9ysqwKJZ2P+CQ4PkH/++y/yzGYWC/+niC0DkVCieD0D0quIlUvCon2UJErCC2F7CvTJ8gtj2f/SedIdSrDdXk4Smfi0qahUhsgUbvyoLjAkopl5usYa2bT0JaHSpDd8poX5KsKrV6DWq+WBTrF+VEHnagjQbJ0Oh5xnIBBb6N7XClBdRqqbV1Y2zrx+yPSJkd+izWCzqYIBPqJEL8edbafMTl2MkfmYB9u4r0P6vH3dOHTBWVhPHF84yowSTDEgryiaJwxw4glYJHHWLwvPOW9AS+ekGJNJG2jAiF0Da1EdVqCWelETUZun/nb/eYa4ryGRS6RWpn49QtbYudWnEORaXbtUdfKib/4TTHXEN8jPVvDiXZIfFZewyFlXwWOGXkMM2bM6B/vifmMKP4Y/7zY/vhcK76OuF7Eb5875lw5jsENbe422e4XFRUlXUtiHTF/iPvHxr93ZspMOX8SY1jRV4jPiG0WfxPbEieexWuxiH0S96VYvD1exD8B8fqcc86RYynxW/HPi7GqmBeK4zhwTij2ZeCccPHixQecE4ptFt8jxgU9PT392yQeRWFMse9CRSq+X+yz+D5xbMQxFPsl3o+3XwPnhCILQ5xXcWzl+QgrbUoc8jpWqxkxbASjRiljXbFd4riIa8kX9MmaB2J+oHG7SQ0qfVaf2k2Lvl1elfF2oK91B9GOTtoazVj1qXiNTroCXWgiYdQizdrci9ms5Lb3urJQWVK4svxKckw5tHV0ymMpxj2iPRS2SHEyLb7t0qc2HJYBnyZtE7tCu6Tw57mtz3Fy3sny+IlzK8iaSChIwOuVWXqhQEBaGPQf6842Ih4n/i4fbdrEfdPX2Y63r0/xvtTp0RuN6AxGogMybBZffDGlpaXyeIu5u9yezMz++0MWZBPexaqv+tcZaxtLcU4xxx57bP/xFdsprgNxLQ0k7Ic6T8OGDWNOrA5EnI8Q48Q4kSoFRKFQEu8Qf3/69NPl8Yxfa2Ibxb4OvE4FxPbEj7F4FMuxx14t708hfItfV5On5KPTBdDpOklLm8KI8gX9nxfXujgHYjvE9SO2Jt5GXHrppfKaFNse9zGN+ry4O1qpr9hJR30tPU0NuDo7yC0ux6g1Js0Jqz5ZjitmwyVgsNpIyy+US+HI0WSXDiOk1aHWaPv3Nc6xHGU7Si7x+0nc+/F9GtheDWwj+n/nnLfRZ2Syu+I13t37JsfmHcusMQuIrKnluBaFtBVB+VXGuSycuBHzOo3069cu307x+GIqd/dQE5PTZ9m1LD1pKd0vHU9FoI2sSJSLTnhUqoNbW1v7z1+6Kp3ycdPZWdjNnIZJ2FqV7NQLOk+k1J/HvXlP49H4MGEiaMljypQpcvvFsfqk/hMpurK5opS2JfYvXFrMBb4xsnbB5BNOY+rIE9i8ebO8loXdQPPuCrJUDorUeWSrHDhIQzOwnsmAiKR7TxfGIqO8roa69sS2iOMs3i8rK+uvOyNei+tEnJeBbZBox+L3TRxi/SVLLpe/Ic6TOKfi3Ih1xffH24LB9038/SVn3Cjfi3Nhtd19pAX2b/eS2sPMTHm9n3r66UnX3n8zv+f9hjjLgb97MKiiRxBqffPNN/eryC4OioycqNXyJhxcrX0opa0o+iF2SuzI/w9K24beerrnLkY/RIZApz2VfVk5NDlMtNkaOemi65k7QymaIvxu+5YmCh1VmKolefu5fSN+EU4ahPUXrpeT5vi2/HXzX/n7tmQz/DhEUQAh7xck7PiM8fx0+k+Ttl2kvIjvEJ8RiyBstRrtf9V56n3lFb58egN1xYpnj2jfthyfwlspyjV4fqWb5hoXXxFgyYh7WCEKsAklafoonln8jFQACLR4WuQgPu7dJSdqMf+wuHeaSLEqtBViM9jkNjq7Onnl1z+jt6WFGfknM/qqE3CMSY5MEg6gevM6VDteV1Qfpz8ME87bb59WNa3ijtV3yDTOwfjZmJs5f+ql/Z8P+Hz89fLzpAJqfGorFb2ZhAapBAXMKaksvPI6hk9XPGzE5+vqHqam9qF+eYhen83kSc9hsZR+7fP0zjvvyDQ3AaFiuOSSS5I+237/A3Q9/rh8rsnMpOTVf9LSqWHpgxtI7a1GZbFx8r1nYbALXZoKlcdL1azZomFRtluobyacRpXjWMID0tY3lhn4aJKZgE4lcm/Q7POQ1xeiu9VDSKRuDIEMg5o7slKZ3B4l6kt0NtocM9k3TUnaV+/WDsEAscm/hlsr7+Hm6bcoqSXRCFUvvsCWlWHaGVSlWYRQtF6Ky7WyoFUgoKJ8kp3hkx2odCaiWiNOJzz7y4Q69GBYkG3E7k9sZ0MgwkbPwVWRZrXStzsjIoPKwqzT02irraa9tppQYxvFL7683zohk4qQyObOiWJIC2HQhlAbxQAQ6YHWOPa3TD7xVDRi0h8J0fOnaaQ766Q1lUZrIjjiLFper8e1eS8fzrsKnWYSEZUP00lFXHriaDRqVVIb4a3opPvF3dhPLME6Swxee2loeIaiomtQC49rcW+3eXn78dW4rbW4Al1ysBCHWqVhYsoSTrkxkVqzbNkyJW3sABD9kkWlonziRGntM/D+E5266IRFp/p12viu5kY+fexRZow6Ge3eKBmXj0WfY5XXUqe3ky5nB18+2ow3JqCcZ3uMB4atZ71JCbid7Enn+rY28qLNvOW9iqbekyQhmZLRxSStnhRfcuGBHqubrcP2ste2iahGxSlZM5iYMlySrlG1lhZ/L4/Vv9fvd6YypvSLAMX2i7YsxZiiFDUsXZJcRCQSkJO0OGE4eF8P1UaIytUNV1whK1YPhnH8eDK+dx2W+fP3+5s47uI7RKEM0Q7Kxd0qA4ct1R9LVWVnyM2LDQ34TWq60nTYXCH+rrXybCxlbiBOsAc5MUUhE96sLeWailtJjY1NvNE+Sssf5UJjBzvDTjnBnLonysbhQgm3P/P9vYnf45oJ1/Tvq8guOfoV4at7YPjbTiDQcQz/+Phu8tydUjlVvvxTXnh/He41CvH5xtgHaLUraWQ/y/GSo4vyp1YDNQENGaYMPjn7k6Rr76ef/5QNFRvI8eTIVPsD4ZwR53DrzFuT3pv5wkx84bhJ0IHxQGs7x3m8dKXo2DRRIVkfb9ezfYCfYHFrlOFNat489lJ8NkVlaQ57eGntT5nuF4V7xCFVsVNzPadrDQT7BhYfjaBLW4Mh80NUGmV7JmVO5OnFz8QIR4h2VHHOp9dh2TORGQ1KOp9b30Vl/jKsYYu0OKiyV1GTuo3runu51OkmkjmG37UfR3iwDC02kBaTerGIgXl5ebkkJv6V8V4kHKb9wT/R9VjCnsQybx5599+H2mI5rLYj6g3RVb+ZLU3fIRSFJ1vy2OMNkOrN5oztN1JWs5RybRUFD/8NQ1HRNzqGjSs74gpDsQxUHYpJnJjcRINB2u65h595X2BDuTKB/Fl6mByLn4jfiq/lNlSZRrlOfOI4duzYfvJJQHy3aJtFGxwn2cQifiNOLMbfExMkMYkR39Na08tX79TQUNGVpNxLyzUzfUkJZZMyJbkp9snj9NNY2UOTWKp66GpKTLAGInd4CmfeMjXp2ITDEcL1Tjqe2IHapCX94tHoYxZlX2cMK7/T5Uq6DsQ29i5bJq1CBr//36j6+b+oZPq/sE+hdg9tD2ySAQSd4QOM1kdwipoYfug2pTK1tx1f9mJerfm+DBAWjU3nhKvHoVv3kLSQ2Zvppq7zNfldI0bcTkH+xV97n3Z17eK8d5X5jOiv3j39XUn01W/fwmu/vY3DwcV//AsZhUrbJpZgwC9Jv4GE+dc5T+7qTo5dsViKadJIYcUlSlHe/wvXXnPza+za/TP5vLz8NgryL/lG98nndhEOBLA5ElmTfo+Hv115aJ9iMUc44Xs3M3LW3CPap4O9L7ZPWAmc+uap8rVQAL956pv0vVfL+1/WcWtmlHBfAOal8NSOq9G/VI7V1Yg+6MJ0zlnMGX8i5g09BFVw7rQC7j4uHfWDSjZHtGA6XPnRQc+T6L9cnzfi/LAukVmRqqL2eC/m3BSZARvfdsEL7Ny5lt7qOio++lAGK4bC9FPOYvZJ56NO1fd7xf7jxqsYnzafwvDQ1hdqqw59iR19sV15zLcmbWP8nvm/2O79/7BPfX19ksQVgcE4N/ovK20XLlwoC5oMxOWXXy4HaD/96U/3I2wFxAAsnmYy+AANrloX34HBOND7B6oOfyTvH+lvfp33O/ZVYTqApYujr0cuE2PWV4FpHaiPim2nP0Kor45Q9ReordmUW7IYYV3E9eazqKeGPZGd9EY7+yfkqvOTt2VYrYnv7piuFJror2oZq1Q5YBCcVZqOembysWl/4wu6m5v23+CocEszEBQOQyqYeNxiRs+LKQTDglT08OY9SuX3Q+H4a24kPS9hLVC7eQNr3ji0MthgsXDGT35FXdpM6oqz+jfMYt3K5B297B0xgz5TJt+vi6DDxIuOB3kuRthaIxHun/wjaSsQx1d/fUx2SoeC5eRz0dtLoUDPG3ffQU+LwsJsaF9G3fOVCqk1CCoymMZoio6/BN2k8xPeYp9/ytZPlvW/vkg9gY8cO9lqS6gFZ+xII7W3A/X0RCqJwWQiPS+XqZHPJGlbau3my+hxZJYMJ7O4lKziUjJLyrCkDq4wqaas7EZSU6exY6ewS+jAZMrHbC7sv26/zv10wgknyJQJ0dCIiJxofAam4WT94CZ827fjWbOGcHs7zT+6haInn2DErEJ2f6UQdKtf38vxVymdqLe2AvWAyuZiy/K2vkWa8Qt2jbyQ7jRlMjil2s/oJj9vzLSxN0dHuMTKDSMKON2RwsqqDj6paOOz3W10xVKKBTr8ESaeP5G8VBPBRhe+vT1s2N7KFn2UefU9jM9PQa9V9rXvgxrCPQGKo3b+qrmRvNTxBOglmGLks6+KCBLs19SqtSpKi/2M7LyHIsMmNN0DiFUh9owJPsW+2IxpfPehvQS8Ibn4xeOqZ/BVbcPrNhKIWAhEzfijZrKCmzFqRRkTA1H0hMKTUWuHEQ6rkwrHDYQnIrT3fZzS+kd6g2GuT/ORKrzJdEswj00j26DH6A/gy7Pjy25DXeTHag8yVnjqDv6ysFBwqXjm/aVMP1UU2hPV1fQYj/kRf/nidt43p1JedQorV5dztWsPumG52Fs+JJxvwJLRjHr9CirMxzJh4QlJ3r1vv3wPepWRwDIfJG4B1qJU5Bb6jg609AnVpGLVmARhAeHsfplXfp0goHvQoBWxwWAYdTCKPWUKJaNzGT2tmOy8DHZ+uozqDWtxr1/JK+tX9q8XbGmRFdQ1MRKnYPQ45n7n4qS2/J0H7sbds3/hv4GQAZXSCIVnzUSlEZ2wnz2bPuCjR55llGMuxzOVPluUKl9YevOe51zO7qiB/E6YvK4PV1WU5sIUnMOU+2CiSUNxKDupaEOXv5ndnjWEtBrUu9SU45AD68knXt3/GbHVlc89wYiqgX3uYAJDtHVdjJg5m5TRyd7Vb915hyxicygcfeFlZKY6JDmrLy6mrWYvy595XKY+eQscchCqbJBk8GI/2wn33sX8Pz9E5rXXYTvuOOlRu3nZu+xaNXR6mWjF0hjOaIaTXTac3u+Vsnn7NfJv+Ywi730NV+zwEYyECBrMBGLKhJFTGiFFuXhGbcpkpXMlx2ZMway1YVLZ6dLexdytDzAzFMTc2ou+x8NRDXaC2UoKn1r2oYq6b+7saUltYGdFFT+qOlZJvI4VewpLhaXIDFGCfXURNS+pVSzPn8wFlR+jjkZwfvghukA9PncNw02jWOgexQsx0rbGryZHF+boPSmMbLTgKTAm/aa4Hm3v1DDFJc5wK3kkFz/R24cRDvQR9rUT1XehnjVge/c1sHBV+kHth+LwjxTnbZ8kxQU+6NX2E7aGQJTr39Exo8pHRBVlzbQR1NogI9DFPzfewOjAPnkBRqM6Pgj+kJ/4JsmJUv+5DLUw1fsJaT1tUCOuO+XaC2XvQr0pH/QWNvmLqQjmMT48lajKjt/Qjt6fQcBWS4E3MVaY2prD6XUaFp57Bqqpi9EYrJQ9/zxeZx+eZuHtKVpM0XJG0Li84OrAWVMh656IMLhQcp39yzuTju/6pW+wd/2BAz9xxNuI7B/djKG0lObbb2djXjr+pr2oLz8fQ/lwVPr9x7wC004+g+HTFcVR22Pb8Lc44TgVWlWUtkgPfh20a2pR+/5Bm8NH77DRrH/ib/LzJ//gp1jTEhL9yjUr2fj+O4fcXtFGLLnxx0n7uvLFp2mu2n3IdUUbMekXP6fy2bdE6hc2b5Rsc0yE0WslVLMdf21ygGbr9vVsjbUReSNGy+tYVNtu2VultBGHgXNv/x05ZamcdtNkmvf08OFjL9G5TwkOi0P2Qa2GzKJEsKm33SstldSabHTmY5K+K+hZhlbnxGDS4mzV8dLtyWNMU8TChOAcdOiJuIL4tnZgLE6R19Jb9/72sLZ38XU/IDUnl2BbGy2/up1GZze1w4XNzaB+etWn+6Wunv7jW5P6m1X/fEESX4dC6aSpzDzj3P7X4jve+MOvpbrxUJh11vkUT5iU1EZ89NhfOByc8dPbMZjN/b8pxrLbPv3wkOul5xdw/HdvSNrXj//xsFT4HQpjjt5/HPHab5XxwqGw8Ipr5dg4joad2/jy5YOn+PINtRFHOo4Y3EYIuLo6eO/P9/XbrMzmJIJaJ5XzxfgnjUCTnt6PlUJCo/L8LNtxAt6QErDsbdnG6797IZaGHCVt+odozUqXvPrp9UQCOw7YRnz+/JMHbSMCHjfFmRbqst3kmHPo9HdSqC+Uc5D9jqVOT0ZxSWyOUibnKJlFxehNyQWPdQdoN4907u7f18d1reexxbwbR2leEgl8JN/zTfERQjQjiqn+K/sUf9/ni1XWEsFSU/E3zmuYbQnCKP7dBrOJS+/5C+11NbTV1SiPtdV4+xKF1ASEmjolpiqPo2HHNpY98idsjoQl31CwZ2Zx0vd/lLQty5/9By17FN/Wotx06k1dksC974/XMsZTxqdMIdIucoSgdHeEHXvvQTXRyIjKlyho+oLdW9eiyl/UPw5JF9ae295kZuz1joYIjj2V5JaP7N/m5j27WfHs/tm3qdoMRgYmo1MZ0PZEKX1FS+YFpahzE/v6wV/vo377/gF1MY5M0WeSaSwgw1BAbkURLdvXkXPLNLQZJnGgufqvT+Lb1UXn04qtiXhfkLMGuaSgcRiHPHdhZ4DO5ypIObFEfu6/mQv7v8jvqb6hfTrQ3/4l0lbIfkWayGAVg5AnD37/WyQwZdxxPDhpGG6dE5fFiTbqJ7c7Sk5XlNxuSB0wpzbZEgVNrMcW0r6+geCngye0KnLNDvKt2QSMFlrUThrVPWgGnXSrT0ugro2hYz0J9KdKiIqzzgChXj+RGh/mLiNmjQ2T1oZZa5fPjVqrTEd+q/4v+MJuSicrUaZAk4uOx7ehn5xOR2UN/sihSdB4BcI4PH29NO5SBhEHg8kem+wJc5sYHDn7aKxQfBDvaM4lNc2OsBGu0D3Ly5kN/Z3F5a5yCgsSAyIBMTARA/SDIUWXgeoDNx3enWxWfS47rThENK1lz4EHN/twcN2PLhRujf1wdnbst69T0Eo1UFWhi8JWM+WNVtrDid+R8Ls4q2Q3ti5FlVtu66D8kgugbH/12lBIT5/NjOlLqaz8NeXlv+hXNgpEIiGFqBiYknEIiBQ5ob6PK20HQ1TYzL/vXmrOPItQayue9etpe+BB5lx3E3XbO/G5g1Stb2PkUZ0Uj3NgmjCBEau+xLdtG64vVsqCWd5t2zD5upi05c805c1lT9kZhLVGTD74Y3omO4dbeKOtm1MyhXpQx0njc+WypsvJJSt3U+6FaJcfrztIQZpJNqZCSSOW1R4Xf/+8mgcfbsWgVTMpz8bYjnrGunPIDalpD0RpDqYz4+N6slbsI6KCmXoVjxW8Q2bnROYtmMjcoydirF0KH3fAQMJ2CAgqwfV+DSmLirGkxBQ364Sn65uKmdQQuNORxlqjkVp9zGVfVCKP6NCHTejDRuzeDEY3lzGusxiPppSU9l24K7rRFvqpOlr50jO3jiLNXcTKWRPpMtVTn15Ns62aVlstAa2XDxoayR9QJfQdi5mnU1IxoaYtYx++j39CWno+Vr2Vt+rfojbNJgvxNDmCdPc4WFYwlzndsclM9/v0xeYmhWPGEfEJ5W6sq4lED3iPR1Vq/Jl5BNOzYhXHFQgFrOhj1KEgTds3ow4GaOntRDWIhEqEYbSoAoupaw/TsLKGkglOvL01B29bWpRgiWnAgLX/T3sr6WtPTr0ZCu55CyRh63TtYu3a06h6Ow9/n5U8e5mIdGHXqJhq0eIOj0a95Ts8uvljPLoQpkCYaERUjy3BGVH8bHdHvBTHLohWbx0VPWto9degNYQIVSXu2bTc/QuIde6rP6x2NKtE8XgeiMaKnZKEPBTqbvsVvVt3YD9xMfn334/f7U78pnnoiVcc/i27aH/oIUnaCvS2tx7W9oqgWKrjQlQq4Z0XoNPoIsw4Ij11aNBLhbkxZq9g0SeyewJdvajUXr5ofZVjcy+QHsSBXb2M6hsjfaBF9+u2msAXFIax+/1utl6ZEMfh6+ujsyruszo0HDRjKJ7FioJJkrQVcL77Hlkzh5Nm3MLYlF1YA4uJldOk2q9hljVMZlSFqttIyejkPkrA1hHF7N3flipoS8NnzkVnzkXrzGKadaCyFYI+L5md4po5dFHTBVetElUv6Np0Dp92NvNBnxLKmVYZ4dr3wO5V+mxBQn/no3d49ayTeGPjD8hEueEjUQv1gdv4RTQfZ6x71of9zOr+inHOncJxP2HpFMMETVAY/wl2jRbGUqkaFhuZhuhLrUATMhPWxcYTwlIj4Cfg8dPY2otf+NgblDHThRdeSNVXq3j7s3dlfc+htZYKRFGNwehpbjq88ceANiL1zDPQFeTz2R9ux6uNTcqrE8WnBmP03AShqMs2E2x2o/NkE7S0UGYI0e7VElFH2WtuJ9dnhKpEocXwIEsDV3fXYW3vv9pGCD99Z1QhAkf5RP+pPO9s9dO4W/EjHwo+l3BDTyCpjTgC5A5PpWS8no7axqR6nI2DalAKSCdp4XlYZCN/ZBr5I9L47MnX5P76kzdHwqA2cVzexeh0ynXuS/OTe0JxPwFxuNsb8HnpffddWn9zpyys50yz0Rga4gcHYf/gOnQ17Tus303NThTxjaO5cpdUyh0KHmfvfm3E4e5rZFC/29fRdljrDqU6E+Popt0KSXEwiHFE8kYceBwxGH5v8lzE53Qe1rrfVBtxpOOIgW1E/LgN/M3X1ZUEIz4mzFPJopPCkrnRq8yJPvPdTGdIGYenZJkon2Jl5YvK8TWm+ciMWSO4W0w0bFUKcv4rbcTkzhQWZcznxiV3J0i/lFRGzj5aknBxEUlabh7q/2BxoWi9j0W9R8kl+7wDF3/7d8Lnb2HLlqvx+ZrIcMxn7Nj7v5Hv9XgVT2IBk2n/bL9/B8S5yygqkUtcpCUVzT3dMotPErkio6++Vn5mINpq99LX3iqXg2GoOXhnQ13/NVjcp6I+FmdaFdmGprKZOYXj+DgutHEHUAWUsUVb5mRJ2q6cPBJ1Z3wsGCW3tYoU+454vJhtdSGOGtRe+l2uIa970fvUajczJ+sM0gzZQiZC1wu7pADIfkKJzPoQQQlB2ooixemGXEnS5qWWk6rOSq6bEWtC/bV9CmkbF2WVpuC4aLQkazXW/WQ0+yHc56f90a2EOn10PLWDzO9OQJ+X4JC+xf89HHEhsm/xNdC8BaPGgj5sI60PfLowu8rcvDvPg8cUwhiIktkDw5u0XJCaUFLcW9tCamsfRxuHMKuOhIj0NaLtQ9aKTdcrXj4DYVq5htGNHdJLNyDUj3oLamMKWmMqWoODjlArnYFE0ZNwt4+We5RB+HjVbDHzPCAEgStI2zhcXzQS8YTwfdnGKYXXUevewe7edTiDCT+Rw4LwqYpE0YfC+y/hsCxg1V5klMTypDm5mHQiNShER+062ajWG/MpDPZQGAjiUW3nifztpISUgfHsNig1HyvXFRAp4GrhaRuD9DvV7N/giYZ3WsZiNG4lWl3iH8luVmG0WvebmAyN/SMumZ0rmZ9VzYq20qS/F7ab5SIMwDOnlpJdOlyeVzkgcrXDC+dg61IUJ6IIGGc8ctiEbRwGQybjx++vqmhpeYO6+scpKb6G7OxTkgjdg2EosnYgtA4H+Q8+QN0ll4oSvnSJ6sqBAFNGTGfVJuX4r3hhN+ffPhOdQYNKo8E0aZJcMm/4Pl99/DHbX3iBnOYWcpvXM6NrJ5VTrkE/eiyzFhUzR63i6sJMWu76LXW7d8s0VevcObymstBn07JBCHKytBhVcNHWGo512FjosFNiMrC2JlEl3B+KUF3ThyngkKqylgHk1ZZAmEU6tSzYVZG+iS9yPoOcz1jarudnjT/j7DFnoxp9KlR9BPWriAY8RPpcRPqcRJwuoh63LLoUdttxr27GODId06jYvR6N0KnWsM2gx6lWcYrbI5UQkZCKSEBNdYaeWuEDHUNeV5QFW31Y3GHKPB3ktu7D5FKiuxGVlpBWGbhEm/WYghGCaiMZbmVQrkZPhnc4GY1KCo4obtZlbuERUahJE2ZPoYHI6GwMNS+wzxAjYQ2tvN70AQwQ3guvwXnV51LcOZkXzMJP8QDn3q+l5b4N2I7OxzZPqais1ofJmdJB22YHoQFp12JrQra0fsLWaNCz4NiFTJ06Vaq3JSHzqVLN/mAQg6c4IpEo1ZvbCboPrx2KDgokHQm6X36Z2ieeJdDbRuC7EHDqZBrjps6PGZ06S7YjAhZR5azgTAwZCzHv/Rh0FiLd1XTnKerJcLCaHudH7LBOptlbTae/CZPDR/niZva8858ZpB8Kgepq2Va7lq8gMsD+6HCRcc21UmV7pNBozKSmTqW7ezU+3z60seKCg6G3KQRXyKshElKTkpNJ0fhCVq18m3nZZ8nrXhzXfxcEOVkWaqbWWszWkuMp6KkjffNmssoDTMxXlCOmwES0Ea30w60RntjifjEr0mqLbv8Ijk6t7S90rkaDQaOolNSWTNTRGMFgzWHX5haKsrcxYuQI+dbgcYFWpZfE9VCIOEN4dSHqutx80ZmOw+Pkig8jTK+K+XnqbYQ1WirzstgzazwfrL8Vo0pNCAfhaDpdoR+RNrWIX+nc/HB1kJGu3czpWo0l7MWkSa5aHRFemcEgNtsIQum5EHST5Tej9quIREOyMIra70Pnb8EUiqLy+1EH/Ym2RnyfO9Lfnw/VBunVRjSq/fsxUaAyvp5cNzbxGwgxZhuqNJkunLyuadJUtJmZ0K30JWIdse5QUPtUSlA8FKGzJyADTQZXviRth5vCbHVZsERMeNP0mHoHHS9nkJDBv18bN5CAVMc8nZPex5y0vWr9/uTJ4HMThzaoZXv1ZjKCyhh08qTJEHlXPvd1G6RVjUGdUMv5wx4i/Vfpfx6OAivfueNo9KYB47ohjpWAmFjPzT4Lq04ZH3b7W1m+9SUuaBuBoyBRDPJw0HbPvWg++az/tXqA+OJbfItvEsGIuJdVBD1aDClBdJZEOk6js0TUEsNg0XLy9ROp3pjwIE0dphC2Aj17D5x+e7gQ/fewtGGMtE/aT1V28k0/4X8SugwToSyzTJvXZpn/Z7ZBa8flUghzQdx+U/D2k7bCL3R/sv0/BXHOReaHWOLirQOJs4Qv8WCR1pHiJm0Nm8NWnBo1tbluZuxMI8u1C0vqGBmgdfX2obX4CLmz6Ekbyd6cYt6ZejzqL5WxYIm+i2cnfMw+v5qzQzpKvBGavUP3eweCO9TLJ83PST6gxKoUgHOu2Eeo04vjojGUTppOb2sbY9umYYyNzyQGJa+p9Br0xTbU5uT+WohbTOOSRQIHg9qsQ5NulKStsPzreGI7WddO7CeCv8X/PRyRp+03AeHbIAx8D+Xb8H8KIT8Nt66S9b4PBeGnZR6bQXcwxIxVO5heuZw/7j28SGHenbNR6zQE2zy4VjbS/uCNhNsOknqk06N1pOP47tWkX3AB0WCExtu+JBoOEtq3DpXwb40veitquwWNXY8mRY9tYRG6PIscEAtlZverVXg2tckI+EDoR6RinpqC2hYi0t1NWCydXWgcDuwLj03q7KvPPIvAnj2S0BsI8Y0+o0OmxmfnjCK1ZEZ/CVXDiDQ2HeciWvdLLPbLufpVB0+EzRRGDk0IpCwpwzYvv98gP9zjp+3ejQddp9vfwsq2NwjpQpx7++/JKDw8EkWtEQqQeE7GG0RfvUJWUIxMupjoSffJqq1xiM+Jzyehcy88dxZ0x5S3hhT4zvNQOo9vAiJ9Z81XJ+DxKN9vNOZTVHQ1ebnnoNEcXtHBgRA+1oNtUbqee57Wu+5K/KY4FKfeR1uf8v2TFhUx+9Ri6QenTVMmUqtWreLDDxOpd/PmzmV2QQERpxPNmEkYLcqEXDRje49bRGMgi/SunWjDfrypaawaNY51I8biNFsIabSENBp2F5fhNlsoNemZqtKS/eU22NqB1lCIXbX/vnpVUSI5Bk7S69B3+3Hqu/hdweNUmhIRb+F3e9tRtxHd7sK9uolgq4eoXxQAiUgFmQwJ6C2IciaVBNkyqg/7utfw9zSj83ZhCfixeKNYvWpsbiPWgA9NjDT+6vqp/CllOyWmInY15jO/xcxNb7439HlUqQgMK8M4bDLrM8ezoqiI9SkRhq1tJ8sN+UEDqeEDR3Cds9L56SUTeWjDgzyx40mIqImqIkRjlcwFtGE9x1VcS4lTqcxqStNz4W3TZZGYgQi7g3T+fTvhTmWwlnr6MCwzc6na8wcaGh5Do7EwetQ9pNqO4bV7NkgfQm1uHx3aCo6aOVOm1BpNicFH9AgqbLq6g1R82UTFqmY8fYGYejSKWqPikt/OxmRTKh33vPAirffeK4MJAsImIev73ycaChLu6EBlNpP+3e8mfXfdxZfgjfk4D4S4u+OtWevtAQLpKlrX59K+TRSGiMi0qDGps8gdgmgM9zZQp/kL77hmkuNVihDK7RHeklOayRzfjr7PRHnVRZjGj8Mwbjy6PCXtb7Ati/DbPJxuXfGDHHTOYm1hoLGJnhdfwPnJpwQbGobcV2P5cKzHHYfj8ssVS5PDODfS0/irr7DOmiWDM3J7I2E823fQ9OMfk3HVVdhPPhnVEBXC4+1iXd2j7Nn7R/ne8GHC0+2i5P2PBPh85QR5vm22CVh8f6J4fCZ6Izx9y/Wke7PoDXSQv3crBV1ONOnp5D/0J8yxYg0HbbuP4Dp86/M6ml6pk8cqo2MrE7Y/Ss7PbyStRvGj84ancVmejZ1mRbV7Z56H8ryzGDXyd0P2AQMLuQQanHQ+up3DQe6vZgr2sv+189MGXJ/KqokHxb5oNYb37sY4QOBpXXIXKl3ckujAsB1bSPUIGxMKFElLxB+m9c61h7W9qjOKyJ6SSGn1bu+k56XKQ6+n15B3x1FJ56bnjb14Nxxa3WYan0Ha+SOSrEFa/7iBiPDKOwTSzizHOCWDcG8PjT+4Gd+ufdgW7l9890BoH/4aXWXv0BVSsXX7Eq5pU2oaHAzaLJMsnjlwe7ue3om/KllBORSsc/Kwn1SS1EY037r6sLZ177wVhExPyueOv9rImnwtEVeiernKoMG2qAjzjGw0Wk1SYOZI2u/B95xoIw7HtuVQ901iW6L0vFKFb7sSzPOEnHzc9CwTTj1JprXLzwjv3wGFVoaC67NPab7jN0Q6O/vbftuJi8m+9VbUKcmpqgfC126/D3Nfh4IspPZfcG6+bl91OOfmm9jX/c7NN3wd/iv7umnzBfT2KRX+dr36EFE5rlOj0ao59aZJUmU+cHvXrl+Cx6NkAcya+TmGeBHOA+3rIc7NUOOH/zZEAuEhg1T/KXz+xTSCwW45n5oze2gLqCOBOB+ffzGZUMiJ0VjAnNkr+N+Aw71fD3YNqpb9nD/u/SfPpyhE68+m/ZSzUk7hB3/5ig9kbg38wLYDXUOCQK7N1PLPCQbSOruZ69vA8rSX5PvfH30ZVzmmQfGcI2ofxLZ8/Phf2bH8Y8rtU5mUfqysAeG4eDSmsQmytfmRDYRrB9ThsOmkdYFid5CCLscis/K+qWtcZDkH6pWgjCbNIIlbTcrBM96+xX8XDpcb/VZp+5+A1kBYiukPjfhgqM4bwBbahSooGvrDI23j67rXNONe24LaUopu6kJ8W1+MEUeDEAwQamnp9xxU6dSYJ2US9nTS8c5T+3+/2SzJNEG4+r5Kl5PdzJtuQpedRfo5I7AfX0zbA0/hWv4xUW8v0YCL6NtOOiP7D1Ysc+eSctzCQdsTlISt2BqvMYOe1HK6U0fQkzocvTldphaniIZuwDjCH45w3V5BJP0C29ImvEFBi4nO4fBVXPGOIqo9eKdS69zO+s5lqHQazvrZb2S1zK+FgLt/gK/e/KxUGHHGo8JEa+jP79sAL5wLng7ltS0PLnoNssd8vd8fapMCXeh0QlqtkLY+XyOVlXdQU/Nnigovp6DgIrTaQ0clRWe3du1ali9fzhVXXCErOMaRduEFBBvq6Xr6GflaHIO5Jzh46w0v4VCEPetbGV/YR+MlF6LLz6d+6hQ+j3mnCcyfP59jjjlmaF+fnh66zUVsH34BBn8Po3c/R3r3bhau+UIuA3HDLXewfdhIarwBMir7GLU7BZUxOU1RFQmR0bmdnNa1ODp3oCJCSGPio7l/JNWSzh2l93P2zvu4dOsXHLUrSlj9Jqt175FNNjqfmmjATSToQRW774LDZ/LOGbnsNNWwxV+JShXkmc9DSYRI7AjGPEcTOKHwNM4/5R9SIScGDcGKCmoHkrZaLfoZM9k3Zx6fjpvMx1Ede73J6sfeuQWsnjoKrxqaml007e2hbk8PwYY+rH7Fu1MgL1eZkN007YfcMPUmPnprOzuWtdGk89JkcNJq6GV2byE5wZjKT6Ni7hnDMQxKiRckTfezu/oJW0EymMZn4vc309j4tHJMgj5CoRzWvFlLd7NPen6lqAs473sLSUvfP7tADKwGW8AcCCmZWo46fRjTTymlblsnO75oon5nJ8OmZGFNS1xTGZdeQlf6GPx/vgtt/W6iPT1JgQVdQQGZ3/te0nfrs7KEo/cBoUlJwdDrI5ztJG9WE3NP+zVfPP26TB37vPWfpOmzGZU6l0LzsISftC2H7d2TkgjbonETmX3hieyqvVQ5hnv89Dz1dL/NryYtDeOE8ZjGjcc0Ybws9KVNT98/4HMEiLeFKlFB+ynlPA084saJE6StgViEn2fSuod5bmxzlSIVcYiJX/ff/064rp7W235F1yOP4rj6alLOPAO1qEQ9COnp8yBG2vb0fElx8WVJf/d7BMmsdBImUyFjpydUc7PGTmHZ8g/kc2eeg0JHFmUPP4q+4PAVK4d7HZ5xTBlPfaAEDbqzxlGy7CNMRflwz72yLddrdjHGc24/adtnXURG5oL9Ji7e7R3oi+wyYNp/zI7gHFft2cOoCYm+4nC9s7J7FMcIgV57KiW3/gL1vsL+ycFBoVIxuSSRqqM6AvHlmlfrmaw3UzY584i2d6hzM1RfcSBIAmLATx3BqvKcaRwZlPzjcZruuFckTxw2DK48+ZiujWLVGr729g60lDnkul+zjbAHu+mKxdGG/eZ5tOosOp9O+BSIQKUonutaUYFlsgZ9YaZUIYtsGxGIOdw24pD7egQYqtZA7we1/YRtMBKQ1inG7BSOOlMprCQwVEAsjnBfH62//R29b72lfDbW7ufc/ivsJ53Ev4Jvov0+UhxJ3/pNnpuvu68HOzf/rfv6tbf3APtqMGZDLKNcZ3IRdCvt5YKLRknCduD2utxV/YRtSspUzJb8f8u5WdeyThZfXVy6mP8p1PbWUtdXx9TsqdLO638SRkOeJG39/hZpP6dW/2uUSyjUIwnbuJ/t/xZ83fs16RqcfAFnbX6yn7R9fe8bnH/yBRyfYuWDXsWeqSFlFmUNiUlVnjdKilnLkt40erJqiXG7zCk7AU3GuK/VPhx/zQ0EvV4qv/qSnkAbWdZipljyMZEgbe1T8glkOWXRMOFJK9SwRzIWORKIoETGZWNpEzYJrR7C3X7aheL2mglSifst/m/hW9L2PwBRDKnJH0BzkJtWpNGKoV/tjhbmjnEwyW7mGM1a2vxG9kS6FLWb+KcS4jcDep2JNL1e+nCKoimoVYTCYbRRcG9UlCWGCedJFaw2fwoRz15hPCvkb0T9TqLePiKeXsJ9PWgzlM5eIP07o6SHaMdQ2+jxEBRLY8JbLPPGG/qfa1MMaFO9hFsOrQAKdyXS0gVc3T6aixfQlnYCXaYifKpEeuFwg5pRRnXi+KlBW2aVj+9HOlG7VKiq3Pi69aTSQ5p+K9qImqAatpuNlGaOJ9OaK1cNDkjlDegD9HUk0oeEvYN2hNIhiA4m3mE4uzpYv+kd6tw75Xun3fxzCkYl1CVHjMkXSasKXrsaIkHY8ToEXHDuM2L0lfzZymXwz8sSpHvWGLjwVUj5ZtNihGXCtKkv092zjrq6h+nsVCK4wWAne6vvpbbuEQoKLqao8DL0gzweB2LdunV88IFCirz55ptceeWV/QUKRaeV/fOfk37lldKzVlxnGbPGMy3Qhrvbz1FnDMP9T8XlUVxjaR0d2BcsoC81hXHbtlO8YQPNH36Ecfw4TOMnSMVhHEIhWX3UtdDgwm9MZ/PEG8lvW82w3f+UqluBKKI6vIaLC7N5I8XCuj43jQ5RqTbRQdt7qyVRm922EV1okCtibCY+5oQS9mSq8X92KvbWRnK74/6WQpXVEHPVTE7X1RVpeEm7VA4a4j/nMrEfaRs06lHb0zCmp6FLS0WTkoo9txiDJj6ZV6EuLaHomafl36p1Bm5ucbLZH0pUIhtEKWpDUfKcUbq6vYwemUFeIEo0xYTh9JGyWvjzz75IY1WX9I50blxL8/gMcnNzZQSZbg2GqJrSgEUuOBM+enqjhhOvm0DByGTCOxqO0PVCBcF9inWI2q4n44pxaCw6Nq6/UyohBRobR1K/dzO+TYXKdurUnHDVONLSD2Du+zWg0ahllXGx9HV6iYgy7QMQCoT5/DMPgWE3klXWRNa2d3B0bZeenfLvHR0Je5IYLHNmo0lLle2mNiMDbVbsMSMDTUaGJBpFsKO65kH5eXOmlwt//6AsYvLly8/THWhlddtrbNelM1UzmtS+HuwpS3nRcRMnOxsxm00suOQqxs5fSEvLm4nzuC+5/xBZC+4Vn8slDkEY5N+vFC05FCIej/SNdn78sbyX0i9JVCE2jChHV1Qk70PzjOn9RK0uO1md801ABuoGFIIUv9lyxx10PPIIjiuvJPWcs2WxuDis1lGyDRLFFLu61+DsdhIOagj6w2z9tIFh07WUltyA19sgCy/K34hEpI+u5pFHyS/MojHdJlX3VXNnMKYgH/e6Fowj09DYvzl1glAilYx3sPPLZsIRNddv6OQnGQ5GFR0Fu5aiwcV4n41XY59vVpWRnXVi//oRb4iet/fKDBaxbY7Lxkq/yqDPR9gX6O+rkooZaLUyYt/c3KxUFI5E+PylDxmxdQTHLToOjUZL0JTo5+KI93eiiNqqxi/Jq/dg72zHq9Owetxk/n7GBZycm89NYS1qg5W6DjfWbsX3bWu0jIhKw5zhGaSYdFJRFjKF+vtWn8/HpnUbsaiDiQJ1sQmZIyNT+lX7PSF6Wj24e704PW7WvbuNjIJxkjkN4d1/XzWapEmguEfDkWBSfy6PYSr776tOl0QECzVaJF2137rqEjMqb/L1oBuUPSL21a/xER6wruXKS3G/VdVf3FDZQOEjGqFzn0tatsjvD3uxqXyEu1MIuGLF3gxuVpkVFf/krEnY9HapWBUV1ZOUQMbofttLlhAG2PYrppSkigyHCNki+607+BiJdcS63qCHLxqVwo0OXRoFgTL0e2cS1rlwh6IYCnz960YDEcK1Sp8ZcRrp+8SDb8u9hPatledRBJkkgZuZifXoo0m/RFG0DiwKKY7ZwHv93wFxrzuXK9kDIgNiddvbcvJ93jV/kPt8KAjCtvrU0xTBQwzWBQvI/c2vFZuMb/Et/o0I7HPi3tBKREzfY7ftmPkGKj7VMPWkEkbNUuY6AyEIvkkTn6C17X1SU755j9dQJMT3Pv4eq5tXk2pIZV7BvCEtfv4TWFq9lEe3Piprr/xpwZ+YX3hk9nHfJIzGPJyuHTKTMRBok6//FXg8A/1sj8zC5X89cidRnjqcCb4uthoNVHZXsqNzBwuOLcH+Th99oTDvt7q5fkBJ5eE2A0u/8OBXhbl47Db5XoohhdHCC/9rQgRCTrzhFumVXbd1E+2+Bnb8dCVXPPhovze0ZUaOXP5TEORs5pXjaHtkK+EunyRvO57cQcZV41Eb/rvV8N/iyPAtafsfgIooq5seiqnoDo7h7msBhRD8yfQf8/i2f7Ch7rHD+p0bIq+BXov+Eh/du7Zg+HIKmrCYPOrQWEfhK5iOfm4+aYVWbGnGA3p9abOzyf7VbdLGINzdRUg8dnUR6lIehaoxrs4VatukdeOvxaQqLQ212U40LIhIM5rUNGwLR6FJS0eXr3ReInVHbEfNlg42hyaKj/XDrIYpZg2OAX5zIauKFdXP0bE3kd4pjthAxDWIYx09nHDLM6jTE+nIf7n8PPyeGBk3oHL9YCy56SeMmn20fJ4ejVL7XCV171Zw4vd/dFD/nsPG2DNARIFfvghCPqj6EJ47G85/EYwxabw4xuufSBC2xXMVSwTTEB7H3xDSUqfLxencIYnatrb35YwzHHZJMnffvmeZO2flAVW3U6ZMkUrbzs5Ompqa+PLLLzn6aOU4xqHLykK3cCG2hYrSeuri4kRl1LQ0TFOn4tu5E6PXy4LPPmNfQQHD9+6VVKS/ag+9b7whCaXhHyZOoFh/0TkFrHinmaZYimhj1ix6SmczIbuNbpeG2g4LI237uGDSaC7Nzpad/PL2brwfLSM92kGRuQOLvo96Y4SNqcPRiiBIJIQuHMYkimlF9bjzDIybn0d3TSfzyjMIbsvBqW+UxQU1EeHHrGyPS6+jT5tCyGxl7KhCjBOmYNJuwxvyYtdmkaUfyZar0phUMJZJw6didGSgsdulGikcjbLPF6Da45eKWfFYs2Uvez1+fl6WyxnZaVhmzJC/o/f42FyXXJFYq4IpdgtzUq3MMBoJftLM3NOGY7briQbDdL20m1CHB9uCIuzHFnLBRd/h+eefp66uDnzwzDPPcNlll5GdnY3FqpfrCbXgQFhSDZxyw0Qc+clKBkGedL9WhW+3sk0qo4bMK8bRF/Gw4o1HsKcoVhfB4P9j7z6g46iuPoD/t3ettJJWXbK6JVly7x1MMc3GNNNbqAFCQkJ6gCSEQCrkoyUQQm+mdwwYXHDvVdXqvW/v33lvpF2tii3L6rq/c/ZodrbNaHdnZ+7cd68cFeW5EDuboBfFQuSTYNHl6TDEDt2Ofkh4zzpPxXsbeMCIqUMs6nJvg1ruxvzpbiRkhUMa2fMERdjlgY7dfWGBxU5m8zFERZ2Puasvw6QZ8/D3h/4Eo7kCJlczJO0vQScxoTIlBjX2eFROuxSP3nEhb+bBH2sJZLFN+snfobpEC/uBg7AdOsj/8m1xF7LYmB7vR9nV10A+aZKQjZudDUdxCQ/UsiZ/vo6TWM7i4qCgLfs+sQZjbDvdWapksJia7bwBIQuy8ovdA9cP/gjLsjK0bd4GW0UNPBIlL3PifvhhNP77WYTfdDPUF63BO/88zB8TlpMOXUIjvF4r1v39FVgbMv3PX7hTjLN/cDVypgUCKD6bDeavhc7tWdWNaIwMg8PjRvGenTj+n02QFQOyOC0iWXbCIA6nnDQ1kgdtGVGRGVvnWjA5cT4P2jLT7YGa6Pub9vmn7YUtaFlXAE+b8L1j36ctf38B23e+5//t7Y41CGHdl9knNtJkwkcffYSqj9+C0uNGefFe/Pcj1m28d+xx7PHvFr6LB77/F+Y1STFZEgdkTwK8LbjunSf5/V7u5bEf596BX148E8nZUfxzs/29t7D5X8JoihMJi01C1qSfYPvOWpibhc+hw/QmfO4qsL5m/7mr78fOWX0ZFl8pZKB3Nut5/No1gFBu9YRYWaOE7MBJ16Kd2/DBX/8I9Bxc1CPYe+8r7wXN++q5p7D/sd5L1QQ9Vp4KmWZV0MlBk/0d2NhnjX08jqV33FKGCggH5hWHhW3lmTfdgWnnnO9/bEtNFV689zb4o/0ncPPj/0FodGCbsPfzj/DN08+e9HHsMeyxDdYGtBbIsbt+N/I2inDwnUAPhN0Qynx0Fa9KxtzQs3nfBJFMDdWsH8AVMx2O/a8K+47NzXDk5/ORNN2VnH8BvBYLxCEh/uBuj4sxEsrJk/lv5UB5utT33dP0NWpsxZh69vn9PhHPXlu7dCla33yTl4WJ+vWvoV+9asgyqQjpipVxY30RRJOU/qBt+lwZFl3Ud3BSLJYjPHwpvwwFqViKcJUwsqLV0YrXjr6GW/JuwUjYXi30YvD4PMg0BPYLRoKiS5CW1bU93aBtoJ4toFKPnUzbQcG2r1PX4tJtj/GgLfNO4Tt4cMGDWFnRiDd3VcDq8uBYkhyTy4T9pjieqgMcV5XD3NGDZ270XEhOs6yHVCbDqvt+jbcf/g1v/si8/cff4Ma/PQ3ZEJ907AtLOGDHWvXP7IfX7BJKaL1yBBHX5/Ras5+MTRS0HQahKpbt4OvrWCuIMSwQWIjWRCPEmwMX+ldvTCxl9WVFUEcl4UDpD1AnXotM22JEsaxOdtav0gTzq0ex2erhDY/0UWqERat5plzO4rigoBqrcdsXn9vNO+SyHfDuw1f1ay6B/qKL+I53Z50YNmS+YXc9aspMKGpzonpfC1bMyOH7G6zjoUQrg7GzKRPPDhEjJiUEuSYnZJaOVEQRoF0Sj5AViYh+fjcaN5y8Jh9SlgUFbAeK/U+XXnMTshYuRVSK0MBpUKSfJZQ5eG0t61oElG0GXlolzFMbhB+pS54H/nc+YEjuKKEwPHVqdLoc5E75F69xW1b2b9TUvgefzwVj5NknLJMgk8lw8cUX4/nnn+cBI1YmISMjA9HRfZ917DzYYffXrFwJ/YUX8s8YCy7ZDx5A9MFDsCsUsBcUsPFB/L6q3Nwez9N6/w+RVV4Bw7Q1OKqYDY9PAovFh60lgeBNuSkcizqyBUOkElwUEwE8e3XQ87xSUoP/K69Dt6RMv7f3FOAMgw43rc7C4hv+jSM17dhSXIN1pU+gHpt5UEXiyMJ0+X3Ijg3BuWdn8nV8qnYWkkKSEKnumY3zRFkddldX8AAtK43i7GNjUWgNLuafqJRDJhJhskaJhWFaLA7TYa5eA21nJ3Pm2kDQzbytBu564SSA6ety2PObYbgiE1dddRVeeeUVVFRUwGaz+QO3iy5Lx8JL09DeaENNURtqitt4pticC5KhM/TcOWn/vBTWjkx/Fj1WX56Cr/ZuxM6dO5AzJRBkb2iYh3jZAliqVLw0Q+r0SGQvOr0d2oFg2745FybjyJZqf+DI6pTi6+1STAsJx7yZyQM6GO8etO0UlZgA4+U/wlcffoIV7u2YllWNEvtc7HHfgffWzIAyXgN1x/Av4bH5/ml97Bwoko3QLRO6S/NSGVVVsB84AFtHIFc1Y2bQcrB6tLY9e/il7d13+1xeZ2Ul36azIb6dVFP6F8TgdWpNLMvRxi9tDcLf9kY7FGopzruD1ZcN+PK5w6gt6aP2pngqkDSVT0o8dkQ0H4anoRH1jz4KPPcC2nIf4LdJq7KhSxB+F9XRh4OCtmx5WNZ20NNqNEh45mmUrr0SUbfcghWpSfjkiccgEyvhKjBBJtHxLsDNrx9D+LXZfZ7QPFXxk8Mgkorgc/uQUeHA9hYTbmCZtj5h8x6FIiQ4olChqMPRpqOwWs1wrK/lB+Vd64QWYC/27GAn0PpHp9PhyiuvxL++fB8uW/9qKTKr01bzDKVnrE9gcuD48ITW3TEf4eHBJ2/7o7XOhj1fBL8IGzU0cm2shk7XzXlMzVZkFryBzbMzgdNszjLU2G/VHdPu4NPv7X0IJTzC3LdK23E4VB/hrJhL4GkRzsDL4mZCJK6Eq3wPH7nAymB1z0hlWf8sYMun29vhZJfizhEswRKefYYHTTu1r1+Put//4aTrItaHIPXjjxGyIgk1dcWo2LQHRaY9ULm9iH3xdRT+7/U+H6tdcSZiHhC2PYzxZz/jIwTYSDNZTM/MRkKGiiRUOAaQ2gPJGw7nyet2D7Xb8m7Dp8c/5aM1/nf4f7hy8pXDXp7AbDbhYMMBfryYII3jx9AjSaUMHFcPRjOysLAFyMt9GlZbGQxhCzDh5F2Bc775PR71euFgDVDZSFWWZJUXw4O2zOcyJ2KSlTD4juMDtx0LpEYcjA78lixorODN4REj7GcOFAvOrvn5g3jzoV+gsbwUpsYGFO/Z4U/2GgmsAVnEzbloePYAfHY3HIWtsGyvgXbhyDWsI4OLgrbDQGRvQYauIVDUndW1CYkBQuIBrdE/Xtrp9iJ5SvCQh1IWrFKn8jJK7DBSLHJBLG2HRGqGGF7exd1nj4FapuZp+01ONxq8RsA6GbXFB1HjOYCM8KuQq4uDlHV7lIiwWCtBocOL/EozH67Hnrdr0Jb5+sUjkCmkPKgb2hHcZdl1LIAhkkp5jTJ26U6i1QgNfuqsqC5sRVUBu7TA2pEx1InNM2plcBQIGXm+3XXIi9cgcVEs4hbGQiqTwHG8DQ3/PgBJmBKGyzN4AW9mxQ/uxPaGFlRYbRA3OyFyCemNOmUjQvQeTInIgVQkQfSUno1l0mbPCyqR0BddePBBBR/aP5gB206TFgHXfyA0GbO1ANV7gBfOA657H9BFAwotcN0HgCKEnS7HcFOrk5GV9QiSk+9BecV/ERcbqPnGeDwO5Of/lte8DQkRgjPx8fFYuHAhNm/ezAP27733Hm655RZIT1DTiH1mNmzYgOPHj+PiCy5D6b4WTD87HcrMDIReKjRmYV3qHUePwnbwEOSTgs8ye202OAoL2QLB+P3L0Ck/xdHMa9AaJnRQZ0ReDySN5TAfzoc2p+8z8L9IicEPE43Y3GLCV43t+KKqBY2SwFF3hd2JF6ubUGl3YXl4CPLiQ/nljqVP47OSz7C1ZjtmRk3HqrQ5aHa5safdyjNmj1vjUNxkgVpswz+zgr/nG5tN2NwayLrrjVYihqt7oz+xGEcXTQkO0p7oORbE8WGs7V+X8cR/VsKg/om90J+XzAO3L7/8Ms+QtlgsePHFF3HjjTfy4cv6SDW/9Db0rpNpcxXvpMp4RF4UT7Nh+wcv8KZ0BgMbql7HbxOJopCuvx+7N9fwbY82TIFl10wekUwltk2bfX4yZq6chIojzdj7ZRnfZjH71pej8lgzzropB4aYU8sAZk0iJBItz1DvGrRlLp2VgH9tmIzjSEY0PGj3roG3Xo+Nzx3B6p9MB7ocZ+TlPgOLpZBf5PKe2yR5fDy/9FVH0Xn8OB/1wL4X3bFSDizbnZU90MydA1E/hgZ3Kj3QyAPdLDDLArQs+7U3vWVOy5T9+6xqVq2B7ogDpo5GhPKocCi1Mh6QlYKNdnheeI3kfBhUUZApJLxrfPrsKEQm6HqUtWDZfamff8YDuGE+H45u+RZ1xYUQn6OHaJOI1+O0H21G2yclCL1wgPXKu2HLWin3Ic4NaF1A6rOvo+jw10iYroNSZ4JcfBjL265Aa4gVK6aei9YnD8HbFKiZokgLRYnqMPZ8KARspXIFUthIj16+K9GpgW0dw9Y9c95COKzWHt8ts9nMn0KjEQ6qdR0lkmpr1mFxeAL+m/Y7HCv/DDKfC0saD0CDdjggw/feHFihhEEjx5TYEOiUMmhVwSdvDLHxyJi3CJWVlbypAvuSh+pDERkZyU/qlR5shMfFRtgI2ZIsQJ6QZUDm3CjUFS9Ea22g/FJfIhInBa+rWMRfsz/UIcENolj36/48trcaj8bkVKTPXQi72QWFhpVdCPyfLW0OfqKLkUkMiKvaiKj6XQi1lCHmjw8hra0e7cU1cNUI231ZvA7SMAU2VHwLp8fJhxcviluI0KjgwINMqer3unbP+gmNju3XYzWhPbPr4ybnwF1shs/tZQWsocpmgfrA+ppbmtHeWI/Vv38YIRGRsB5sQOt7RVDlRSJs9V/9pR3YyaGujV/4fKcTunPPhbuhwX9h2fG96R7w9dkd/P4nI+locGtpbcH6r5+FoyNInFNeB5HJihOd2vC2m3rs58Y+8qeTviYhQxW0lTgDQVunY+SDtpP0k3hD3g+LP0S7sx2vHH0Ft0/tPg5yaO04+j3f92RmiHqvWTpymbZVp/98ikhERp6NCSskBurkZfh79RZkOJyIWCbs9y5IDUeYWoYWqwsOpxtPzFNh5t4aHG7NAuvMMEN1xD/Qef6xr4Cca087aMsotVpc9ps/YscHb8MQlziiAdtO8hgNIm7IRuPzh6CeGQXN/OFPhiFDh4K2w6GxEBdkNAKWrjuWh4SNCPvhzb4ImHIJMGkxOzIIeuiff3AOilctxJHqNuwvK8KhyloUN4nR5lBBqjsCiaYIjtrzcfmsBH5Q8X/Hq/C/o29ixRY7JvOyBEBB06s4GBKNc2XnweiK5AdwGUoJomQi7LR4eFC2K9YUKn97XY8uqVKFBGFRgSAu+8syiVTawMH+9+8WIX9bbY/h1N2fx+P0wt1sh1gt5bVk2TIlm53A56Vo2lcP7aJ43hQt9Ip0WLVWf8CW2dhmw1OLVkNSbILM144oNMOtboU76Vt44cWOEAvevvBtKKU9MwHPvfPHGHXiZgI3fAq8vBow1wFtFYCpRgjaMkNYDqG/lMoYZKT/usf8mpp1qKl9h18MYQuRlHQ7wsLm84ZhBQUFqK+vR11dHTZt2oTly5f3+twsuPL111/zIC/zzL+eR0hjHvRGFVKnBxqZiRUKqKZN45fuPO0m6M44A7ZDh+CuqYHK3oTp+59AdcwC3mgqrCUfMd5SxN12AzTpwQ2UeqOTSrAyMpRf/jo5AXtr2rG+rg27RE5sa7XA5fNheXhwxjELqD7WmIxU/WTsanPhF5sOosXdM5hlkPU8+E9RK3jQVsHqYKoUSFUp+LyUjr+pagUiZKz+bs9gTX8Dtozd6sK2UhMyzp4E5a46uBtt8Lm8aP2gGIqjYbhq9eV45d03UFtbywM7bIg1y7g9Ga/VBdM35f7rYRem4ujeD3jAViTyIiVFqNPIxIXfh6/fFuoBstU56+YcKDUjWzCfBVuSpoQjMduA/d9UYOv7xbz+bWOFGW//aSfOuWUKJuX1Xcu5O/Y+abWZaGvbDbujGi5XG2QyYRuWFK7BvBQD9hc14+PWW7HILqy71qBAbFrwd10iUSIkJJdfBoJlpGXu3gX70aO8jrT9WD6vx8uCtaqpUyHqCESx7yALPLWxDNkGm/C3y/QlP5sJbVhge2puZSU7eqt8How1qusuKSccIeFKHmQVLlIeyPVf75jWhiqgDZvHM+ybnnkWIeetxM0rFvufZ/eeuUC9GcaM1YhfmR0osWKvRvvGXWh57n88u1bcpZkhC9gy7L5n33o3JFIZ3/G2J7XwGmDw+mDeUg2pQTko2QnsdZRJGuCoECDKLmyBu7oabQmJUOoOQypqxNVNM2FCI9Tvq+Dt6JTBmoLqVyZDMy8GBu9kVJYdQW1RAS7+xQOIzeh/PbZzbv9Rj3lWqxVPPfUU/37PzsjFWWedBblcDrfTgvz8B1Dqi8F26d8Rs/QMvLvvZ0hWlvLHWXwKfCW5GGedfwXWzIjz/7/Zibljx44hPT2d1y9Pn7sAKbPm4fC2Muz5/hDOv2EeD9h22vhmAQ5uqIRxUggy5kQhfVYUL8HCZMwJrnPaX+x9vPDHPYfr90d0WsYpP5btG9Ueb0drYzKaajV8f+fsm3P4CYNOHpcXm94q4A3VYuMVaPjbX+EoDkXkPb/j5W3O7CiD0fjfQ5CGq6BbFg/NrGgYqpYgRhODZH3vWf4syDzQdU2eNpNfBmLKsrmI3h4KsVfBu2CzDtVdsYAsC4hqDcLJfHVuJN9vY5niQU1eQkPhqrFA0iV2zubF//Mfwd3GLRa46wNB3M6LLDb4IFSsUkLarSxM8B1kEKmMEIuFwKu5uQkKtZYHbSeFRSJWZwV0wYH87lipL0JGA7FGxn8fumbaulzBZZK6yi94CCG6XERErIBMNvCyIv1xe97t+KTkE16a4KUjL+GqrKsQIh/a1+xqe3lgVOqcaKGE2KjJtHWcfqYtATD1Siwo/lqY3v8aMGkhpBIxHjlrMl6oL8Z3IWF8P+5QczYvTamT2FDiExr8TnK6EMsOyVisZZCwUmbLrhuZUiB9Yb+7xnum88xbKtszvoh8/vTP4cGaZOj1ep6BEXIadanGHI8bKN0EHHoHOPohYO9leKjGCNy10x+kY29Ne/s+1NV/ivr6T3kHyk5tDh0qzbGoNCeiwTkdq+acjQXZ8Zi77QgUVb+BzFmKuUfCkFUW+B8fSm5HcuRsXNtwAWSQwiw1I/SGedCGq3m2G/Pcjl9AZQ5F61v9+8G7+L7piE0P7NB++1o+Dm+s6hGkjU3T846msemhiEzS8QZBjNfpgXlrNR+qzTIAu3KrvdjS/D5a2qpxxUOPIjJxEgosdqzaU4jWNjvkW+oxCbV4XvUAbk40olkkHPDeMfUO3DktuOP7mNBcIpRKuODvQgbuGLBr9+U8MNVVSMhUTEq6HU5nNp5//r/8oJ79cLBs29huB1zsM75+/Xp8//33/nna9lSorHHQ6OW48sF5UKhO7dwSO7Bj2bj2Q6zZ2SGe2cOCVIZrrwkK4AyUxe3hAdapOjWiFYFg49ZWMy7eK3ToPREWxzq2KJcHhjuxGrZsQxynkAmNBYcAC8K9/eddPDjHvu9rfzkL1g0VQUOx2UkUxXnxeHPHR7yR0fXXX9/v7bSr3tpxdtcI/dmTkJ+fjzfeeAOzZ1uhUAoFGPX6GWg98CA/KcTMviCZl1oYbRoqTFj//GG01Fqh0Eix9jdz/dvI/jqW/wCqql6BQh6FadNe4EHcTi+9cACt2xsg6ZKpNuPcJMxfPTgZnv3hsLmx4aWj/kCt0973wHSWAdzZkZopP9KEj57Yz4OyunAl9BEqhESqEBKh6phW8mm5cujOC1t270H51Vfz73TY1VfDcOMNvKb6t19NgQc2yEpFSN53LuKfeKJHZl+vz7ezltdj5kRA+HXZUGX1HE1yqj7aVo7y/wnbBY25CnN3/QlSgwZpZxXykxbmyf9G677AdrFNZIHm/FxMWhQ44HPabTzYxLJYT9fGjRvxzTdCfV8mNCwUOWfkIHPDd2he/zZeu/Q8vJJwDdbvvgU5FmFYYZtYj1dS/4qrL16NULXcv+0uLCzkz8VO8lx44YWIC0tDwfZaFO6q53WLWQbsDX9e6A/KMp0NAbufLB7t2PqykziFO+tQuLvOX06lU/LUiB6lQE76nCxrlWWE93Iib6RVtFfA6rYiPSydN6Xc8f0amGwHILNFIsf1HMIvPnn5FNY0b/cn72P2qkt4YJ0xb69B6/tF0C6K478TLAA1VFhwvemVo0IZoEszoO44CcyWa9t7b2Lm+at7ZF4TMtrV/m0XXI0muEOaEf/TcyCT9V6GgJU327ptBZ/W62di1sy3hnzZfrfld3iv6L0RORa75H8XoUB0nE9/veILGDt6p4wUh7MRmzfP5dOsnjBrBkdOk9MK/DVDKCko1wE/LQDkal7Ldb2tCfdNM0DU4oBih5BUMC+jEocl/8en17ab8Gt1BnCzMHpromHNbcWneDxNRldslN694cK6/6YuFy7n/w0o/kYI4B77FHB1NMbSxwdlVTY0folju2+HSyYKGg4pEsmRGjcXC4znISLiDH+NUYvHg7vidXihLgQejwHbslphU3gxo0B4zinHQ1Do3I170w/jp7U34Hl5Gb5/AXj3zgWYEqaA3W3H40c/4fX2lLPeR6gtCmG2KMS4EhDhiIfWGg6ZRQORL7AsoVHBw1/jMkL5QVtMWiifjs0IRWRiIEjbnfN4G8ybq/0BW0mYAp4WB2xuMzYWvs27+jIf/f0R3PC3p/BlY5uQvaiWIj2zFs8cfxR/Nqr8Adu5MXN5baUxidXfvXNrj2zr0WzG9JdRU/Muysr/DZtNyLRsb9+PAwfvgEaTjkWLlmDTJjt8PjEvk3Dbbbf5yySwg+AvvvgC27Zt8z/feeedh/qdCpQdbIKlzYnt7xdjyZWn1kyADZ/UnbGcX4aCRirBORE9D/RYPVq5SOSvR8sCsCxLNpllznbJmk1UKiDrVjMzXtn/oekDxYJrkQlaVBxtgbnFga0fHceyqydDNdmA5nWF8JqcPOvd9m4Zrr7zCoj1cl4b82Sqqqp44P3ss89G1D3TeeCXYbWM7777bjidm1FY9C2czkakp/0KuunZPGBTmd+CWStHZzMFNrz+sl/NxvfvFPHRBKcasGWSJ92JlOQfQS7vWe9z3vRorN8enKmaOXfo6q+xgL1EJoZGH1gPmVzMs2U7u9n3hWVBdzZr68S279f9aQEvL9F1SPhwav7Pf/z1MJv+8x80v/IKFHNy4blCGFYtcrPfSjF8LhdEipO/f+pZUWgvqYVnr4n/BrL6tpG3TYW8W7O9U7VsWgwekxQg2iOGRRsHm8IAVXMzbPK5UC88E9qcaWi1HoevUIHG1A+wr1QOfOjEtXOjeZkgRq5UDUrAllm0aBEUCgX/zrrdbux17cVbm5/Dk897oXSIce2jX0L6I60/YOsLnQTN1e/gh5GB8kClpaV8dASrgS1xq6C2JWHr/+ohcrX1CJoV76lH7rL4EzYEHM1Yqad8HoiuQ1t9zyH7EqmYZ+lnzA1k2fZX9wYh7DfR47FCKh2ZzutdvXbsNT7EWSfX4ekzn4bVXszSPOATuaEwnnz0j8ftxkf/eATH9+1GVcFRXPTjX0JkBy8/wr5f5k1VvMEeq6l+ut+xvrR9ehz2I018uuX9IigywiDRyHjZiK6N7AgZayUS3A02yNqMEDsVQB8DlYRGwoLhGlZ/a96t+Kj4I7h9brx85GVcnXU19IqhPzHSZmtDIYRRIcnOeESeKPt+mMhl4chI/x1vQMZKzZ0Oj8eGxsavoVIlQa2edMLeIuOaXA3kXQ5Y6oGpV4GluxQ2HUbS1EjM/7Cd30XSFDihqo4sA5qF6QU2O5B7BiYiZ5UZjS8cgv6cSdDMHtlaz2TgKGg7ElgzqcyVwsVpha/gC7j3vQBv0hx0PbQMD1uEWfvZRsiLukg17OkLEZq2FpGRZ/W6wdZIJLgvNQV3J7+Mra0WfNbQjM+SytCi/g7L923ndXHTq7SQW2X4YfabsJrm8iyP1Ehhh7m8cj/OaVmAL0K/h11mQa2sBLUhJTjapRGa2CuB3h6B32f/GSH2SKh0wt7C3vq9eGb/M8gIyUT6XelID49Cij4GcknvwSiWYct23i3bA9nDIqUUirOTsNFSi/wX/g2pU6h3q1TreHdrli21WC8sq8FtwmvNv8W6MCm2q4QdgkhlOP68+M+n3RlyRI2xZReLFYiLuxIxMZehvuEzlJU946/hyepwAoWYO0+PI4fnwenUo7W1FREREfzg9LPPPsOOHTv8z3XBBRdg1qxZaE+14fX87XA7vTi4sQoZc6MRnTK82TDFe+t5lmXe8vh+ZwteHRuO1VGhqHG4YCn/K2Q+E69tqlLG8r/solBoRizIxbKdWZD29T/sgNvhweFN1UibFYX4TAOi7p3Bs59sBxsRcmYiQuJ7Zhi6XC5e7kCrFb6DDZX1+Pb773D4yGF+nQWBrrvuOv9wHPbXYGABy4v4yaXGpg3Q66fz22adl4wZ504asf9Ff8jkEizt5YSBw+rC/m8qMfOcJB4I7YtC0XcQJy03Auu7ztBJe9TNrah8GR63BVrdZF56RCw+9RISNrMTuz8rw8HvKpExJxpnXhcYWi+WiKENV8LUZIfOoIC+I1OWZ8t2Tkeqes10Z/8bmWFkt1XRv/0NGmOi0bbuHR6YZTUwTcWBE0Ca8MmIe/yf/cqyZVmsXz3/NEp278AVZ/wGvhIHP5HIGmUafzgN0o46ggPB6r7aouSoqnMAlnJIpXLAAbR7l0C97Of8PrKzSrFP/wccamgBilmAswLb3ovHostnYLCJxWLMnTsXaWlpePP9N/Gx6GNc8xUL2ArB+2/mzsedTW/47y9a/RSkHQFbdoKGBWtLikugtMYi1D4NMlfPrAD2vWCZp5lzopGQc+pNykYTFqzd9akQDOjUWYc3fbYRyVMjT3k0SHc+nwd79l7DGw+yA/LZs/puGjhcdtcJI2hMThOilSo0Qqi9q7DEQZp58izphtISlB8+wKdL9+3G23/4NVbf/zveCKzti1LW3p03xax/ch//zdEtS4Col3IqA8VGcJk3d4z6EgOGqybzgC0hY500VMl+QjhPq6PPz3Vdl6CtMfLcYVm2eF08VqWtwjuF78DsMvMyCXdPv3vIX3d70ffwiYTfsJny3FExLJwtQ0LC4JwcslpLcOiwUO6IHW9lZ/0ZExZLfBOJ8K+9/8Jb7z4Cj9eDL8/7DPKPgGxPAYqaAqPCfj7vbhz/6jC2NR3AbBa0TRmaZJ7RzN1q5/2BWN+GlncLebatakr/y72R0YOCtiOEBa3M5qOoq/8E9e2fwhZbjihDKrqWTpfU5UPd0fk5udwMlH8BHKwEppQAU9YImZm9YM2Jlhp0/PJIRiIOzJ6FLzZsgOeNf0Pi8SCpxYUfHE9B+cxlsInkUMkleKWqEbGf+HBv7TU4s/1M/EGzGc2KWt70TCxrhUhi4UNGvWIPWtR1iEuvR3osawYjONhwEN9Xf88v/uUXiZGoi0WKLg4puhgkayORFTkDCbY8NL+VD09ToHNykcGBP0fbUL9xI1bvfBsal9Dh3izXYH38Ijz78j5YnIW4dFocfioV4cYDf0e+yoNnooUDQjHEeGzpXxGhog3RSBCLpYiOuhBRxgvQ1PQtSsueQlvbHn6bXG5FRuZCnLXiUp7hxcolfPrpp9i1a5f/8RdddBFmzJjhz8Sae1EKtqwr4hk53756jGc99pWtPdg8Hi+2vluMtgYbDnxTgSt+PYdnFPZ2oN3SIgSJDIaF/hMnaWoJNjd9FlTOpJNIJIFCEQOlMg4qZTxiYy9HaGjgezTUWCBuwcWp2PhGAb++4eWjWPvbuZBpZPygljViUmYGB1l8Hh9cDifeWPcmTCYTLr/8cuzcuh279uyGlxd1ELBhHaxepqajbmhXUqmWfz66Gs0B2xNtt1kJmKJd9SjZ24Czbs5GeOypZ4mxgGnSrEiU7RLqnM88I6HHfaqqXuUnPkQiGZYtFYIf/cUag7HavHu/KPOXPcjfWoNpZyYgvEtW25qfzoBKK+PLM9awxmKso7vh1ptQse5R2NdthDsikGERNuvcfgVsmaObv0XxLuG7/E3hKzg7+Ua4ys08iORzsN/ggQdtmYylcfjTZ8ewRhWNsOW/gn3vy2j//HNE/fIXvLHn502H8N4xKxYejIWYZ+qbsPvTd5F3Rhb/zg4F1mDQnGtGxCY7VuwVvsdehQ/p6ccQ3zHCxZqwHOpJC3ltclYGgdWu5USA0m4MDtiKgPjMMJ4xnjItkjeFG0vY6IOi3XU82MyaLnZKm2nEjo+O8/WLSw/ldWtZndqutfxPF/tdsNtr4Ha3wWIpwuHGw9hQsYEHTh9a8BASQ4IbVw41s9OM/JZ8Ps3KI0hdQjkbRm6Og8yo6Vet4Et/9Qe8/5c/wGG1oKYon3favuRXv0dUxnS+D+iqtvD6g+3ry2A/1oywyzMg6/K/HyjbsWa0fhjoGO6drcLHb/0NZ91yF0KjRz4Dj5DBaEbGeFrtQC+Z6lZrKczmI3w6RJcHlWpwRmr0N9v2g+IP4Pa6UdBS0KMp6FDYVho49pwdOfL1bAeb1Vbmn1arRucItWHT8Vmqs9Sh1SHUc/668VvMTE5G2vYqlJiEnjqTwhXIDI9CZvkBnGtrFhp6sx4yE4xEr+DZtfwkpg9oev0YIm7IgbJLaUsyNoytveoxjv1wWSwFqKv7mNeptdmCszfY0AePx86bz3BeD5C8BDi+iT1amFd/GPiGXf4AxM4QGpjlXAzoe2+awn4oWe3NqRedj/KUBLz3lz/AbbfBVXMcd2SJkTpTCJTtOFyH+yuEEgO51hg8Z70Uf4MNX/t76rohkpogkrVDLG3F3W+pcOPCclwxWziY2FP6Uo/X9vi8ON5eyS+sbLjUJ8G1dWZc2uKFuKOWo00CPJHqwPsmJxJ3V+Kyus8g9wnL0SQLwwdRF8DiCuyQtDk9+F3lKzBLN+KXxmj4Ojbed8+4G7Oihy/4RdDn5y0iYjnCw5ehtXUnysqe5gHKyZOv5rezgO0nn3yC2tqXERmpQktLLC644ApM69ZcjGW4FuyoQ0O5CU1VFuxbX46Z5wZ3DB8qx76v4QFbxhCrDQrYsu+wyXQQtXUf8u+x09nAa/h2Bm2FdXTC4Qgc5HYP9NrtlfzSiu0whAcXxGeZVvv3/wBKFcvMjfMHd/lfFcvUjYZYfHrBgilL4nj2GOts3t5ox/YPS7DosnT+3qmye2bYmjaU4+Pt61HiquTXn3zyyaDbVVIFlp99JmbOnMkbEXXndnnw5XOHMeOcpGHPmB6KodLH9wllDZqqzHj7kV1YeEkapiwNNGbqr+WXZeCzJgcvPzDzjOCgjMfj4JkVjEaT2u/33Ovx4uj3Ndjx8XFY2wLNIKUyMfLOTOhR5qFruYSxqKFhPQ7l3wtvjh0pZ94FaWExWiBkF6lU/Q90zThvFY5t2Yj60mLUl5egdGYB0vR5CL0wFZIu9VgH6ozEMOihwsKOup7KqVfB8s2DsO7YAXnKVCi/bsPiA4ETjmJZJiSKpfzE1crbB9aE7mRK2krw+rHX8dNvvJB07F5YVrgxzyEEKJlj2fdCu7sKH732DUzaYv/80NBQZKZFo2SzFREJWp7FzRqKDaSMyEiymZy8fAOrwVtd1Mp3s9gJj9nnB4ayhkVrcOYNWUiYbOj15N1gDFtkB1MyRSTsIRXweCzYWP4Fnj34Ar99V92uYQ/a7m/YD6+vowu7cUbHqBmBSpQMcccIq5OJz56CKx78M9750+94k7Lmqgq8/ruf8WCu8c5paP+mHKYNFfz/7qwwof6Jvf4GfCybeSCc1WY0v3bMv8usXhSN9758DK11NXjxZ3fhyj/8BcZJvSc8EDKWgrYWwxGYGzcCx2xITr47aHRPff3n/mmjceWwLl+sNhb3zbwPGWEZmBMzPAHUKHMY0mwJKFVWY276fIw3NmsgaKtST/CgbYdLMy7lJwcYltl9xrRH8eU7gVHIuSo1ULsfYAFbhsVTWKnKCYYdm+jPS+YNo6176vkol6aXjyDyljzIEyZomY0xauJ9ekeA3VGL6qo3eKDWag2c/Q8QIyxsHqKM5weCs0zCbOD6jwBTLXD4faEGbmVgODmq9wiX7x4FflYMsGGXJ5A4JQ9rH/wz3n3kAcy7ZC1SZwo/pma3Bx8rPaicocJvD9sR6fAhBCI8BDUWKzx4Anawnhs+dxi/eJGEYyYrLI5A45obE9IQ2qbCy8XLIVbUQqKshVhRA7GiASKRBwqvDH8r/SlSHYGMsv2hYjwwRQVL2x8xtb4VS+oiIOmol1uj1uHj2MWwe9RQSBzQya3I1Thxe8urUJg+wZ0xRjR3BIgWxy3GTVNuGvD7Q4bmRyIsbA6/eL2BepgsaGsyNSNp0j5IJOzzI4LLXYCSkiUID1+CkJA8nnXEMv+WXZ2JdX/exSp4YOcnpTzjqWsG1FBgAUb2Wp3mrRIO7iyWEtTVfcSDtd1PtrAaviyrgQ1rZViAbcniPbDbqzoulbB1/GXXbbYquN3C2WEWkO3KZqvgXWb77jQrhkJh5KUWZkx/iZenOFXsYPiMa7Pwxh938A7nLCOT/W97C6iyA2l2YD3Nl4hKeQOsokAmo9QnRp4kGWfechE0UcGPNZmOoLziv0hN+Ql2fmDmtVNLDzbx9zR74cg2hzgdLIBz2S9n4cvnD6O52sL/fyxruexwE/+fdm24xDQ1bUJD43o+qiI7669Qd9nZZgHTS3/e+4kmdnKPBfgZrXbySZeLnUwo2deAbe+X8MByJxZHzloYy4NQYy2g1h9qdSq8XmHERqtjL9STU4COEdGnklkkkUpx9u334NVf/Rg+rxdbP3odaY8uGJSArfVgA9TvFWFhl8KDruo98LntaP34ExwRfYrKon3+244nmzHdsxp2k4u/p+WHm5CYc/oN0bp/Xh7b8Riyi52YUSzsc7jDfKhPD8fMGiHD8iP3jWh4Twpbez6UYLV466E0+LB06VJMnz4dbocPc85wDCjTfKSx0RQbXy/gJzhY3d2uWKOxWedNCjoJM3ne0GVnsiGL1r31kKZHAR2Jy1m6QAYMy7Zdk74GI1EagZkZNRMWy0b/9bhLzj6lE1SRSck8ULru4d+itbYG5qZGvPHA/bj45w8g9uzJUE42oOWtArgbbfC5vDxD1ufyQLe05+iDk/G0OdD0v8PwOYVtpyo3AgdbNvGALWNMTuUNbQkZy2TRGqjyItASUYx6zztANRAVvSo4aNvw6YgFbZlrsq8Z1tdbVbME59fPhlXigOHq0VOz0+02wWIp5vv+Ol32gGvbUqZtT1PDJiNVGYliewMv0Vg7vR1rIMO7EBK/zmTJDqx/UKfUiVnPtvO4L+ySDHjtHl7nnZf/euEQIm/Lg6xbbyIyelHQdhi4nM04XvqvbnNFCA2dg6ioC2CMPBty+QmG9euigXm3C5eWMuDwe0IAt7ZjyCyrjds9YFu6GYibBcg6snY7RCWn4sa/PwNlR11KRiuV4ODCHGxsNuGNjBZM2ViH5dXCRm+FQ4KpCi3+mCPDVrEHK8QKNNZbcay2HbMmBQ4sNJo0TAqTwGPJ5Bfh0YyHB25tilocFjnBeqO74UPFPCNuCbEhQuZDaEU9lu5jw0KFA4EKoxXfTi+HTHIIWokCqaGpyNAk4OptL2Oy2Q4rCwh6hCyQaE00/rToT7y7MRm9pRM6sSZkK1Yk4OChzoC/D+3t+/jleOkTkEr1PGs13LAU4dGLkbc8gQcVWXDsu9fyceE904Z0mNWh76pgaRUCk5OmqeCUrsOOnR/CZDrU476sIWBE+NKOneXgg3qZLIRfdLpADdHuO3J2ezVvKtAVa0Ijk4XB5RLqOffk5WUXWFOCgQRsO7FGYHMuTOZlINh5om9eOsrLQHSv0SqSi/lQ2JBa4HznDHwu2wezyI4MTwxmStOQfOvcHj/4vKt80Z/Q0rIVdbWfovTAvWyQMS+HEDWp766YYwUrL3DZL2Zh63vFOLBByD5mjfPe+MN2nHl9Nm9K1ImVCGFlDhgWuO0atD2RzrrQjFbb+2eoK5bJXLRbGNLeiQ1Rn7c6hQeaxyt2AKRUxPKTHK1tO+H1BU4QKZWnFvRhv42zLlyDnR+s402Uvnj2cax96FGIO+qM+zxeOIrboMzo35AyltXAAlDWfUIJDKbJ58VzbisuqTuGSLcDm3dvQmVo4DuxJ6MFB1LbcXVaGPa8IryfG98swJW/nXvC+smn6rvK7/B95Wb85Rvhd5RpXCXB/7VfjcedCtwt+hKVrRfB5w1ka2dEzcLqO+ZDLhf2NVg/SZYlPhYDtuz7wsqbdN8mstIH6bOMw1oPURql9teK7ZQgc0IhUcDhcQQFUIfLnnqhtFFnpm350eeCTpScKr0xGmsfegzvPvIgz2a3m014+4+/5s3JkqfPgvGe6Wj77DgsW2v4iRLNnFMPknsdHl6D2tMufGbliTo4Z0mw+4H3Aydmbru73yVTCBmtWOO+8KuyYC5PR32RMM/ZZXQXawpsMgm9BnS6KVCpTv0EyFjidbjhbhRO3upjwiHqaOA5GtQ3fIGjR4Xa9awp2UCDtrYuQdtTGUU0noneuhaX1BXgsXBhn+y9ig9wa9hSNLa0IhLAvuh3oTy+E/PEYoR6vRM6aMuwcl/hV07mwVpHSRtvPN34/CFE3jEV0rDgWBEZnShoOwzYQbdKNYlvdENDZ8NoPI8XhVco2GblFIUlAYvuFS6NhcChd4FJi4Lv4zABr1wKyDXArBuBWTcDIYGd4K4B204lG79GdrgRK6dNgztvEg5trYT2i3IonV6eefv4YSfejZfhquunIEKngNnhhkomQb7FjianG47QW3E4pgn61Co0wssK68LHDjL53xj8NfcCrDGGwfJuEUJWJMJgVGGDw4VIsRX/kq5GlfUgEnbYURRnxpbcJvg69qvZQcuRpiP8smrSfCB/A9SKEPxj6r14JVSPPONUhCpP3smYjB7h4QsxbeqLaG7eiKbmTTyrsBOr6Vdf/ym/MHPO3YjifQpeV3XKkvghPZh22t3Y/XnHjpEImLkyHkeKb4CvSyCI3cCy4qOjLkJk5DmQyQY23J81EtRqeza5io6+iF/cbrM/U9efpWtj00K2rrJbkJjJL/g9ZFI9Jk26s19Nq1h90+Ld9agvM/GmawU7a5G1IDgLlgVkjXdNQ9uXZcCmSlzqnAcffDz4HnldLs/46I7VNGYBW8ZpCYG9RQhULrw0Laie6lgmlUuw+IoMngH59UtHYWt3wmZy4eP/24/c5fG8bjC7T9csWZP5KIzG/jUDYfftpOtH0HZSbrg/aBuTpseCNWljvhRFf/Bmd+GLUV39Ji9L0tq6nc8Xi5UnPhHah/mXXomiHd+jpaYaNQXHsO+LTzFj5YXw2t1oevUoHEWtCL8666RNHOwFLWhZV+APIDGmJC2+PtqCyU4F8jMuQ7myAg0hwvdHBB9ap7XhQKzQ/bgtrhIxqZGoKW5DW72Nn7hi5UUGg9PjxGM7H8MZB3xI7IhbticpcH3aExDvMvHrW1w/RGJHPJfVpl2yNgNpM4yDGjgeDQFbiVSMqWfG82At2zaNRPMa1kRIrJNDbg5se522UuRF5mFn7U5UmatQa6nlJ6iHA/t8sB4FTJw2Dka1EUctQmSIjfCQSgd2EkgTGobLH3gEH/7tjyg/dABuhwMHvv6CB23FcgnCVqUJ5XnEIt4opSuWDX2ycgmuKhNcDcIoA4lBidCrMvHGwz+Dr6PMw7xLrkR43PgOXpGJRSEPZNY6HIGTtvVBDciGP8u2O3Yif1PVJuSE5yBcNbijRhixQorYB+fzkWGsRvZowk4qd+p7BF3/yyPIZOG9NiKfkCZfgAuLv8I/DKFwiUT4qPgj3HHZjfjTc8dQrK/GXaaP8A4rTzXjfDweOhMwDCxgPp6IZGKEX5eNhv8chKvKzPdReeD2tjxIdINXp58MDQraDgN2IJCT/RcoWBd5xSDueEekAx3dp4Pkfw64bcJl41+Azf8Q6t7OvQOI71mEu3D791j/7P/xDITz7r4PmfMXY9rCBHhyjWheVwhHgZD1t6bSBXVpO5AbCa1C+Og8X9mAl6qbAk+WpmW/0Py+Dq8I6yPkmKXXIEav4o07VNdl87uxTUOIlJ0NVeKB+Q8A84GSfbsgTTGi8PhXKCj4CIURk1DYWoSy9jIeKEpf9HMgbhEw5xaIlHpcO3j/STKMJBIFwsMX8Us625Gx16C5eROamjaiuWUL3G4hcKFWp0EXEofz7wyBLlzoYl9d/TY8XjvCDYv95QhOF6sj3dj0DYr2lMBuFj6frD5jdFICalsXo6lpA89WYIFaY9T5g/sd7gNr3MWCur0FdhkWoOqquXkLKitf9NfGzs7+S5+P7cRKUJxxXRY+fHwfFqxJRcbc3tdLJBUj9LxkqCaHoeW9InjMLhguTYeil6AgK4VRVPyo/3r9/jXweWW8uQ+r+zresKzatb+Zg29ePsqzbZmDGyp5RjFryNQ1aNs1e/bUMm2DyyO0N9n4b4rOEDgznj4nGmWHmvh7yJZpNHROHi7hhiU8aNsVyywayP9AJlfg7Fvv4Q2TmM2vv4i0WXMhLnLDUSiUNGl+Mx+RekWftcAsO2p5h95OIqUQkIqdGoGy5w6jeE8DHM4ymDsCthKRF+fHHsP2mMBJ3D11O3DL2h/j7T/t5KVLMuYEDs5P9+D5+d0voLalHL/dGMiyfW3lWvjKhfExUW4REs2Bxzhtbt6QMSknfEwHbdm6f/XfI0EB2/PuzEViL3W8h5ssWg1FSeDgntWQnWFcxoO2DMu2PT+Flc8aeoebDsPZ8fvCSiM4HDXweIQPhEbDfrEHTqFW4+JfPITP/vVXmFtb+P5mV701RmElDxqeO8hr3fZWc93/3CmhvEZfy9sF/KB0z4aP0FAulDJiJRFmX3TJaS07IaONvEvij6OjeeRQ17P1Oj18BAnL1NOfOwnqvBMnHxW1FOGB7x/AgcYDuD77evx09k8x2DpPailTR18CD+tH0YmNrhsINrLO4RQyqfs7WmtCyFmN0M/uxwqLFZ9pNbwp2WbRLpzzmxX4rOAFYL9wtwVpFwKTrxjppR01xEopIm7MQcOzB+BusPHSRPb8FmhmDc5+Jhk6FLQdJnq90PBrWBizgJw1wJEP2JhOgNUUPfi2cImfI5RZyLoIkAjZePnbNvNsBDb88+PHH4O1vQ3Tz7kAkhAF/2Kzg9C2T0p4V/muGUZenw+fN7YFvXSk3YtHj7mQV+eEVybGP8/Jga5bHVK3y4WqY4eRlBvcfCrFKAE++QUS8z/BmWzGmueA5f+AzW1DaVsp9OFZQML4KzA/0SmVMYiNvZxfWNCv3bSfB3DlMgO/PSI+EBwpr3je3xSFDRFiZRRYpl1Y6LxTygBir8OH79d9iPqGL/lBqcenBUR/gUgk46UDmNSU+5Ce9kveDGo06d6Yiv1PWC1gVgfVZD6MHTtXISX5HiQm3hpUnqI7ll127cPzIe3HcDJ2UBx93yy+nRBJeg/e1NS87X9/bI0pMFXO5M17WL3X8RpIZHVsz78zj5fW2PJOERKyDP4gGwseSiRqXvaCNZnrb3CJlVJg5HIj5HIhUGE3u7Dr81Ic/LYSyXkROPfWQIMqVnri7B9MwUQUFsZ+E9jnMRCEZBmBA8WaJ+WtOBcHvvocLocd6597ktffdJabeO1RVnez8cXDvJGStEvg3P/aWQaINVJ4LW4o0kIRdlkGpB0N39j7xoK2EkU2ZDFWuCu3YnXUbiRo2iCtnAUkCO/7/sbDiJynw1UPzUOo8fTqeLMGW6wuLmvqWF/ejk9iN8BlEOGfqyS45+NIiNQxqAsPh+KwGW6fFGe5AmVXZAoJb8zFsvHf/dserPrRtCFpxjUc2PYniWWk76mHRDJ6AradIxochUpIbeFwq5pgsRZhZmogoDmcQduu5RhYaQSr9bj/uqhQD2+mmx/0DZRUJsP5994Pl90BmUJ50m1h8zuF/MCy6aUjUM+KQugFKX2+viIpBFE/mYmW2ipsfed1YZlFYpx9+494eQRCxhO5zOifdnbJtM3J+Qcfls9GsQ12kI/Vi3YUt8LT4uAnMKXhKl6uoS8hihDktwj7Pm/mv4kbptyACNWpj4LpS7W5Gue8cw4fFbA2cy1//tFEqYw+7aAtK3fRiUojdKHUA5PPx6VFH/OgLfNOwTtYmbwS2+qEUVfM/FiKG3Qn0coRcfMUHrjVLU+ggO0YQXsx41H0FOCyF4C2KmDnc8Du/wW6J7JGZut2ACFxwOL7gNk347y77uM7z4c2fMmzZL/57zOwtrVhwWVX8QMd7dwYKNNCIVJKgwIvHh/wsDESX7rtUInFuLDeg+Qd1YBNqFcqdnmB/BagS9DWabPig7/9CRWHDuDC+36J9NnzgcpdwHePAYVfBK/HnheBvMugkqqQxQK2ZNxjAcZQ/Ux+6Y7t8HTtYs12ZCqrXuYXFmhlj2HNzAzhS6HVZPYIErIDQNY0jDUTq6//BE5nY9DtEoUZmqijSEo/xx8o6asm7WiTkHAD9PqZOHL0Z/x/5PO5UFzyNzQ0rOdZt6zmdF/6E7Dtqq+ALSvpUHL8n/7r9fsv452wzroxG0rt2Kt9eSrYZy13WTxiM0Kh1sn9nz0WMNBoMtHevhd2ewWvZXyyoW0ss60z21ynnQyX08MzHfd8XganXdi2ssBf7fE2RCeP/xIIJ8NKlOhDpqKtfS+/PmXKv3o0+DtVS66+ESW7d8Dc0syzbz0uJ8IuSYe71Q7n8XZ4zS5eP9N4x9QeQ7nZELOwNel82JlmbkzQsG5dZii8IkDsA9o9c3H7b5ZD/9oKfluMox5J9hiUKWuQ35wPq8va74At27aZmuxorDAjeVpE0LaPNQHctz5w0Hdu/i0oMexDi7oO+6afDW1KDV4pvgeV8kg8ab0LMQ4h+K+PVOGcW6fwkh/WNidaaix496+7sere6QiJUGEsYg3F2H9GFSIfNQFbRtZZ19Ycx4O2bDsxNTQGUpEUbp8be+oCNWaHGvssGZQGNNubMSNqBgz6ZGTu/g+snlLIoIdIcfr1IlmdaJZ121V7Yz32fv4xFl95PcQdTWZZs5Su3x/rrjpeooSdCGFZdez7KA3tHvj14ctnn4DHJWSOz7xgNaJTTy9DmJDRpuWDIph2HQeWC9cdXWraslFok5JuG7Jgj2ZmFNq/KucHgc2vHYXx7ul9nkhh5VUuz7wcLx95GXaPHc8ffB4/n9PLCNEB2lErNOdmZWRYgs9ow3pPyOWRcDobTiNo27WeLTVSDDL1Ksw+9A4SXS6Uy2TYXrud7z+xxmQMC+Yn6KgsTm/Yb2f0T2aOqhrQ5MQoaDue6eOAFQ8AS+8HDrwFbH8GqD8i3NZeBViEYYJsB5k1aNCEhmL7e2/xedveeR229laccdPtfAebnU3tzn2kCdNfL8TSMxPhqrPAtj/Q2IPVaAu7NB2qTCFbkmEZvKwRRV2JEHj78sm/IXGJG4ryDcFPrIsBFv0YmHHdkPxbyNjEmn1NyXwHeze9D69sF5SGIh6cZNjfltZt/ILixzBt6v8QHr7YP7SotOwZnlXb9Yx1J4lEC7FzEUq358DeOBmzfzQ2d4pCQnIxZ/YHKDn+BMrK/s0zD9tNB7Bj54VISf4xEhNv5tm4J1N6sBEh4SoYYk+tdmFZ+X/8gfD2ihmwNaXxLuxxmf1r3DQehMf2knHiZJ8nYQeSZduGhs7qdz1be2sCXv3tVljaAuUw2BD1qWfEn3YG5nhiCF/iD9p63BaEhOSd1vMp1Bqcc/uP4HTYkTF3oX9+xLXZqH9qPx9O5q63ovGlw0I9zsszeW3STqqc4Eyi2qIC3nxp0rSZaDTKYaxzQtvmgUWTCb02Gt62WsjFx5BjW82Dth6fhw8nnRczL+h5HDY3pDIxzC0OnjnbUN7Os2AbKkxwWITa29f+cX5QUNWYGDhJwBqHRSbpMDNhNSITdQg1O3Bw1xOQwotEUQOSbIGDm/kXpyIyQYc1P52JDx/fi/ZGO7+8+9c9uOhH02CIGf0N7lgAsvvJu8x5p97kariakcktsbBECg1mPY5KZIdn889BcVsxD6KyYOpQuyXvFvwg9wcobS/FpJBJvMEXmmRQI5039xqKERNs33Ddw79DS3UlWmqqcP6P7ucnS8QKCcKvz+bB2taPSniWn6fVgcb/HIR6ZhRsBxqgXRCLkHMm+YO75YcPoOqYsJ8bGhXDkw8IGW9EcgnELiVEbiV8UntQeYTB1r2mtG5ZAmyHmuCqtcDdZOdlswxreyZKdLppyk14O/9tHrR9K/8t3DjlRh7MHQzbjn/vn56pnorRiJVIYEFbp7MeXq/jlJsIsxJubNQVe7y6W/PiCS9lGUTaKKwxmfGyPgSrc67jPXBcXuHYcL40DKLWcqEfEOmht4Cts8oMWYzmpHXkyfCjoO1EIFMBM68XgqDHNwrB2+JvgFk3+e/CfmwXnbcCans1Nny2mc/bv/4z2NrbsfLun/IhbV15zE60vFfIz7S2syZFXajyIhC6Ki3oILatvg7v/Ol3fIecYSVxVxu3QVEuND7h9AlCg7Vp1wAy6mRIgrHP6PZ3gIojS1guHGaeZ0Tq/Fo0sYZmTRt5JiPDdohYw7+upQRqqt/214QSnkuOiIjlvE5tePhyXmd31lwnakvaoB3DXTTZuqel/gyREStw5Oj9sFpLeP1bVme2oeFL5OX9G3J57wf+LCC08Y18FGyvQ1RyCNb8bCYfdt8fdkctysuFDuM+rwQNBy9BdEoIZp8/NgPgg8Xa7sTx3TqE5wjX9274DovOnw6ZvO/guVwWDq38ArQ0HULBAZ0/YMuOhyYviMGcC5LH9Gd0KIQbFuH48cf5NNsexMZedtrPyQKs3YnVMkTckIP6p/fx8gcs65Zp/aCId/PuTemBvfjwrw/zAOJlv/0jKsVudB6ufv/G95i7JRzWIiDtwjrk2nRYHyZDrjFQ+qLzoDl/ey2+fjEQ0O8LC+Z2Ddqykybn3jaFB2lVIhukoaG8fr3P7cXOZ/6J5abv+P2qvXFAWDjQ6OZN7FKmR/ozbi++TwjcsoaFllYH3vvbHlx0zzT+nKO56dhXLxzhtXgnzx99gdreMm1DauZDJ5uC2DVnQaVKwoyo7Txoy+yt24szk3jhqGH5rU3WCyWCXPVCcy9GOkQniupLitBWV8uni3dtxzsP/w6r7/8tlBqhOZxmdjQUqaFofjvf/52z7hZ+z03fVUKiV/DgLcPKbl3yq9/jq+eexFm33n3SEgyEjEXSjjI1UkcoXNLaoEZkg4WXatpcxetdst891t+AYX/Dr81C3RN74XN4eMKOJUXPR2X2hpVDWDt5Lf53+H+8XjbLtv3l3F8OyvLtqBfqfiu8MqTVxQIZGHWUyli0t+/j03Z77SmXrAg0KLbw0VukC4kUyLscV239P1zXZoJsSjgeaw2MyFyQvwEIeQ1Yfvqft4nAur8ezW8WQDsvBvoLU8ZtWbuxioK2Ewn78qUsFS7WZkDdLXiz49+YUfoPqNKz8XlxBLxeHwq2b4HdYsJF9/0maDgbGwrDdqTZDjM6mnWKVFKErU6FemrwGdTG8lIesGVDTRmtXo9Lwr9FhKKj20loklCqYeqVrC37UP8XyBi28JI0vHVsJ/9s7v2iARmz5mNy5gq+82azlfLgrdPVDIkkcKDGskujoi5AecV/ef3L6KhViIw8GzJZSI/apCnTTtxUYazQ66djzuyPUFLyd77e7EsqEkkhk/XdqEEiEaG+VDiJUne8nQ/Jn7aif/WzSkr+Aa/Xzqcjw9eizZiOs27K5s3OJjK2f921kVhT4yHeXOqsm3N4FmNvdr4nR/62VQDYRcAauc1blXrK2c8ThU6XB6k0BDKZAeohHD7ItjPSCBXCr83mzZHgFn78XHVWeG3uHqUSjm35Dp89+Q94PUIW7M4P34Us6RygRgg8NRaYYD7KGn2KYapUYunkCuS6LkXCvOUwhAWybJtrLfj6pb4DtiqdDJGJITAm6RAare6xXSs1HESdTYnY+5+Cz+VC1C9+Dq8zBhrXy/77HZ9/LW46cwHq8luh0QdKfDDaMAUu/ukMfPTEfh4UZvWV3//7Hlx4zzQe4B2NAdv1zx9B8Z56FO0WghmjOXDLup9LwhRQtiRBVCiBWp3K//9L4pfwIb+zombxUgUjoWvQtjO4PNjYCZI1v3gQH/ztYbjsNt7z4K0Hf4E1v/o9tGHCfiqrH80ajZm3VKHti1L/d08+KYTviwY939QZuPEfz1IdWzJuSboGbTW1vC9DZdVrcNhrePMxrfb0+giw3gWs4Zhlu3AypeX9Il4iqPM52ejLsEsz0Pyq8LvU+lExb84p7220EYAbcm7gNW3Z9mxdwTqebcuah52OclM5GtzC6K4caxq0k0ZPyZvuQdtOdnvVgOsMn0rfjgll6pVQff8vYXrfa9gaJRzniH0+zLHbgdQzRnb5xghWbqj5rQLWsAjm76shVksRsoIylEcT2qOZqLoHbJ1WYNcLfDJLegTKuDB8WJUFt1eC2qJ8Xm+MdeDtxM606s9NhjIrHO1flvI6fqy7L8t46IrtfL/36ENwWIUd/7CYOFz66z8gZOOvgapdwJKfAbmX+ZuiEXIirHHW9LMTsfvzMng9Pnz76jFcfN8MPoxDrU7ml96w0gCJiT+AQjE4Q7LGAha4Tk//FQ9Q5xc8iKysR094ll4ql+CMayfzhkPsRMz2D0owiWXN9yO7yhC2EC3N38PtMSF7yo+RNy2UztCyYJpWjrOuWYmNm37Fryv0VajbbcW6R3dh/upUTD0joccQpJSpkcjfJhwosYDYgjWpiEkbfV2RR1st7Pnzvu4zi3wwgrWF27dgxwfv4LLfPgzFJD0vldC+oQKKFD1ClidCJAv+bu357CNsePHfvE48kzZ7Ps6/52cQFTdj/45DMHjFcIsMcEnVkLmtaC9XQTHnazSm7IS0uhkG3mAtUHZj9vnJ2PXJcah0cl7igGW5stIHLFirCQ0OsnZlcprw+22/R/q+Rty3R2jWVvOb30KxeClynCX8eoUiClnL7oJaIeXN0vr6LK/68XR88uR+1BS18TrVul4asY2mgC3Dmo6xGrajnXZhHP+ssKZk/ES4CJgdPZtfhovX54W4y28EG0FR1PxHiBPDoGrJRISxY8jAEEjKm4bLf/cnvPvIA7CZ2tFQXorXf/szXPrr3/P9RoZtK3WL46HMCEPbl2UQSUR8VFf37x5DAVsynkk6ajkr25Ih0SmgjU9GRcV/eePA0rKnMH/eV33uD58MOwHZ9NpROApbA6/X7diOUedGwDE/BpatNfwkSvNrx2C8exo/CdVduCocV06+Ev899F+ebfvcwefwm3m/wenYXhNoNjXVPpkP6R6NlIouQVvHwOrakhOIygGi84DaA6iv248ihfB7McXhhF6mA+J6jpoivde4Zf0YWt4u4NdZ3WqWiMD3TcioQHs1RCBVAmv+DWx7Cij5FsnaFlyeeBAfVmZhpfEgIjf/HJh7O68fwzN2u3TrZdkPPfh8KP7oGXz8+sdws84rLACRmo6Lf/Eg1CF64LzHALlOGNpAyClgdVJZ9lRbgw01xW04sqUaOYtP/KOiUPTsjNlUbUbBjjpMPyuR13ocr1gNVZZ12z2o09q6C2bzMcTFsYaDwkEvCw6yhloHN1TC7fLi21eO8cZDJ6ptxAJabOgWCw6bLfmQySZODdv+YBndsbFr4XOF4dhRIQvF6/Zhy7oiHNlcjWVXT0ZseiAoyxpJTZ4XzYens6A5Bb/7Z6gCtsyO99/G5jde4tObXnsBK37wQygzDfzS2/fh+7dfxbZ33vDPyz3zHKz4wZ28PvzKDCPeVXhhsIkhggitqQsRmb8eljoF4BIaqbD6d92xshhs29ffkiWdntn/DNrNTbhmgxCwZXQrb4TP/Af/9Y8yLsOd6pMf8CpUUp5du/H1fB5E1nRke40W3u4BW6kYK+/I5SUSRjvdopE9MGKf2/PePQ9R6igsilvEa9uaTUfQKPkMmAwYSi6ANOrSIV0Gto+49vd/wTt/+i3aG+rR3lCH1393Py755UOISgk002SBbXbSpGtN3ON7dyF7yRm0vSQTgjRM2PYaC6+AwquHbmkEtnwv9HFgjXgHGrB1N9vR+L9DcNd3NPWSiHhGrWZ67wkPoeenwFlugqvKzGu9t/L6toHRRd2zbd849gasbiveLXwXN0+5GTHagY+A2F6xzT89SzvNX75hNNa0ZVhdWp9PaCZLBtm8O9nQJRTGTkb0wadQa2/GNIcDSF5CcYZTwJoMeq1utH0inNBnteRZWTB1H99/MrxG5xaODD+xGMg4B7juA+DObcDMGxCjc+Pm1J1I1LQCBZ8DL68GnpoPNBb1/TxeL3DkQzieXIzPX3/fH7BNmhSFy373JyFgy6jCaENKBoRlhC69OtN//ft3i2Fpc5zy8+z48Dj2fF6GV367ldeyHc+6H8h6PFYcOfoz5Bc8gL37rofNJtSaZuatSoEuXMjiqCpoxeHNJ84MYP//Le8UAT459CGjsxHESMua/DCyc3+KVbfeyk8SdGI1QresC9TfcrvNfJjjmTdkI3lqJAUgRomsRcv8tTFZrffKI4d6vZ/X68FX/3kyKGA7b80VOOuWu3jAlpFJxGiJVcAm8uGwzA1TRsfBtU+E6rYwf9CWBdGsrsDQdOZUA7YlbSV47ehrWLnbh6iOpCn13LkQN5cjyinUov/c/gMY9Ofz1+sPVo/5zOuzg+rm8sX39u/xQxmw/XKMBmy7Ys0y6+o+RknJP+F0CiWlhkOFqYJ3YN9Tvwe763bzeWZLYNuksMf3mm032Ayxcbjy939BRIIwLNPW3oa3fv9LlB/a3+djvn3xP/j8qX9g3cO/RXtjzxMehIw3rESdSCH8prDmfPUNX/hvizSuHNBzOsraUf/kPn/AVqyRIvKW3D4Dtv76tldO5ssiUkqg7NaEs6swZRiuzrqaT7NGURsqujWhPsVRATvrhHq2Go8K2Qmn13x0KIWHL8HyZUeweNFWxMVecUqPtVrLsHvPlThy9BdoaFg/ZMs45k27kjdet6jDUG9nJaeAlWYrlUYYAN3iOOjOCDSlZbXk2z4/DtOmKtgLhf9tV64GKz/Zw3odeZ2efu9LklNHUTPSkzELuPBx4MwHIN3zIrDjP0C7ENTxmRuw8ZNvkDLbhoTsLs1SvB7gyAfAxr8A9UfAdu0vjNfj3YopSItwY+WNl0OiDD7II2SgEiYbkDkvmg8jd9rc2Px2Ic75wZR+P76utB0l+4SDO4lMjPD43utwjVeNjRt4cIBpafke23ecx0spxMZcDrlSiuXXTMaHjwuNE75/twhJU8J7DIVmP8zlR5qxb73wPLXFbVjzU6FUBekd+6wtuCQNCTkGfP3CEd5krL7MhMpjzYifbEBd3Uc4lv8bKJUJyMz4HSIiaIdzNAiJNGLRlddhw//+za9/+e8ncO1j/+Id7ju5nU58+q+/onBHoJv18htuw4yVF/Z4vtRpkXiy8TiL00Iam4Q7Ouar98hQt9CJF8qrUFm6HHNi5uCxJY8NaJnZ9/OxHY9BZXHhki0dWbYiEbRnXgtd0b38lH2TKxFFredBtM6OL0oO4dxbgxug9Zfb5cGnTx3gmeF5ywM7+8OaYfvfQMBWLBWNyYAtU1H5Mh/mzISGzoHBsACNtkbsqdsDuUSOZQnLhuR1OwO1TGf9XHN7vn+eWpk2bCeRtIZwXPHgo3jvsd+jOv8InDYbKo4cROKUnicFWYbt0c3f+huaUVkEMpHq2rrrrHCzoG3dZ/75UQMI2lr31aN5XYG/VrQ0UsWbj7HatSfD67xfnQVpuPKk978+53ocbzuOm6bchNzIgf3eMEWtRWhxC2cic63p0CSN3hFerBnyQLFmwq2tO/iFlXeLjDxrUJdtvDkj8Qz8xBcKY0MhpjidQOrykV6kMSnkrCSecWvZVgN4AdO3lXw+y7hVpgd/1xqe3s/v6ycCRDIJRAoxRHIJxHIJ/xuyIjHosZ52B8zbayFmJ3zkgftKwlWQj9JSJyONMm3JieveLvox8KMDwGX/AxLmYqvoLOz69EPeWKxw51bhfp//Cnh8KrDuRh6w7ZSYlowrb70C5z/+GSSTzxm59SDj0sJL0/xlDYp21aPsUFO/H7v9g2L/9OzzJvHssYkkKup8TJv2IhQKYWgay+48duxX2L//JtjtNUjIMiBroXCby+7Bt6/m9zh7WlryOvbvvwMyrdDFO22mkQK2p3DSYe1v52LGOYmYc2EyIjqakpnMx/hfu70CEgnttIwm0845HzHpQoZ/S001tq17Pej2upIiFO8WauyJJVKcd8/Peg3YMmvz4njAlvnaooM8NZVPywpc0LYBR20eNNmbsK9eOHEyEN9Vfoct1Vtw2SYv1B0DEfSXrEHYEh0kYuEk7OemO3iJBsaYFNyYsb9YU8gvnzuMiqMt2PRmIXZ9WjqsmRadAdvOhmMsYHve7XljMmDrtbuhsAfKJFisRWiyNWH5W8tx33f38XqQQ4Vl2HaaYRSCtpZ2obYd+7Bq9ekYTkqtltezTZkxG7lnnI0FlwkZel05bVas/8+T/utLr/sBNKGjN3hDyGCShgkn0l3SZrS1CyddNJp0aDSBUiL9YTvchOY38v0BW0WqHsY7pvYrYNuJ1Znuz/31Cj3+sfwfpxWwZSraK6D0CSdNp1oyIE/qvbHrWGe1lfqn1SpqCnUyUpcd15cfwUqLFQibBBhSRnqRxiR2gjb0olSoZwRn2bPgandeZ6D0FucDfE4PvCYXPE12uGoscJa18/2brtwtDpi+Lkfbp8fR+n4xWt4qQNMrR2HZSnWf+0JBW3JyrIxBzsXw3vAZat3CF9jjcuGjvz2Cg5+8Bex4Fp7WShxpixR6rsTPBq5eB9z6LaLOuB4iycQKiJHhwRrjsMBtp7LD/QvaVua38AADExKhRNbCQJOAiSTcsAjz5n6GmJjL/POamjdi+46VqKl5lzfAYl3kmfLDTcjv6CLMuJxmFBX9HZro3Ug55wFMmuFG3hnxI7IeY4XX64LZXICWVmFIH2vkNP/iNF4btPPkg9ksdGJmtNre68KRkcHKG5xz+4/8mXw7P3oXdccDJ3/iJmfjnDvuhUypwsU//x2yFi7t87lmG0MgDRW+WyzbWnxGIHtGu1uMJHlHwzBLDWotge9dfzk9Tjy28zHENfpw1l7hQFykViPynnvgS5yNK+WP4jXbVWh1Cp8xbZgCecsH9v1lyZesQWSn7R+WYOu7xcMWuG2ps/pP2PkDtlPGXsCWYUOTnR8HDoAslkLewCdRJ5RUOdR4CHa3fUhem2XyMjKxjAdUfD4vrK7jfJ5SEg/dnEBZl+HCSpJcdN+veQ3p3rJ8N73+IkxNwoiZpLzpyFl65rAvIyEjmmkrb0XJ0h/75xkjTz3LVpkZBvkk4aSdZk40Im6awutYni7HEJYdOyNuOd4q+iv+WnoflknnQ6Id/c0mB8JmE8oYMSoK2p7cgTcAr0uYjp8z0kszprEkHMPlmTDeMx3h12fDcGUmNLOig+7D9vPU0yKhyouAcrKBN+aVxWshNap4OSWxWsrrYjMsizbosc7e6zuzjFvSOxpHRPpNLJFg1f2/wxfPPI6jmzbwnfovX3oJ5ogY1Np1KDGHozXrRiy4+VdBzcoIGSqsRELlsRbetCllWuRJ789+YLpm2bLmPqz24UQlleqQnfVnGCPPwbFjv4bDWQe328Tr3UZEfI6FV/4EXz5TjYRsQ1CzrJ0b/wGxTAh82xqnYsWVy6j+6kk+d5s2z4Pb3QqVKhEL5ves5ca2p2Zzvr/bsEzWUf+bjBrh8YmYe/EVvNGYz+vFl88+gasf/jv/bWSyFy/HpKkzArXb+8C+K3fOTMQTXxdB5gO26mZgmjCqDJHfeZE204NCh/Cce+v3YmXyqR2Iv3zkZV6j9OffeCHpiJ1G3PIDyIxGvLynAjvaYjHZnIzO9ozzVqfyWuEDwdZl7kUpvKwKK6XCl3l9OZx2N5ZcmXnKdXhPVXisFhfePRWfPn0QZ96QNWYDtowsSg35scBJRItF+H/OjJqJclM5rwN5sPEgZkfPHtTXZeUX2PMzUyKmQCFR8FqKXq8QINYZJvOmsyOht3IHrKb03i8/QcG2zfy6VKHAWbf0HtglZLzSzouBYooaxcJXlzMOoDQCr0t7bTZshxp50PZ0v0dehwetHxTBuqdeaGI2K6rv+/q8ONJ0hG93ToWz2gyZW4IcdyrUk0d/k6Sa2vfR3LwZdns1cqc8Abm879q/XdmsXYK26klDuITjRGWgzA+yV43kkowb8lgtwC69YNsKw6UZJ30On8fbIy4ki9Ui/MYcHrz1ObxCdq7TA/kEK1d4KiZutIIMeAd65Z0/xszzV/vnfd84iQdsmR0bd6GtQRguTchQYz8YK27M7lfAlik72ITaknY+HRajQfqc4LOGE1VExHLMnfsZoqMD3+vm5k2ITZdi1Y+n86BISMfQt6riYli8r/Fpn1eC7Cm/gko3PrMcBvNzqu7Y4Wa1hN1uS4/72O2VvEwFo9VlDfsykv6Zs/pSf5Ok+uPF2P9VoJYgc7KAbaczJkdhqUOGe9pVaNnjgiu1o7miV4RplkBjRRa0PRUN1gb8+8C/Ed/gw8zijvqE0dEIXXsNP3nw968LkOOSIMoj7P5FJuqQMbvvg+r+mn52IpaxBpEd++WHN1XjqxeOwMN21odYTFoorn14Pibl9u9AeLSSRmkgcWsgsYcGBW07a8x2rz07JPVsO0sjdGlCxoZcjxYNZcfx/l/+gIKtm9iZLj5v0RXXQm+k33IysciiNVCnxUKhED77UmkItNqTB1Bc9VZ+6UqikUE7N2ZQTnw4ilp4wJZhwVtXXc/9HWZj5UZc+tGluObTa1De3iXy3A9SvQL6C1Kgyo3gmcKjXVvbbtTWvofW1u2w2QONf0/G2pFpy8plyWVj94TksFnxIJCyHJh2DZA5sIZ8ZPCJJOIe5fPYNkeVaYA6N5Kf2NEuiEXIsgQo00b/93mkUNCWnDKRWIyl196MxVfdEDRfrlJhzS8eop1nMiqx7ubbPijxX593UcqQZ4GNJSyzMyf7b8jLfQYyWThSUn7Ca6PFZ4b5d+RZ9tyerX+CWOoUHuM6H6m500d4yccGrbYjKMcDIh21IrswUWmEMUEileHs2++BSCTsPnVtRnYq8uL0uPu8TIg7MmGtZ1yJlPPqkXJuA2Y47f5as6da15ZlY06Pmo7KSBG+fvBcqGfPRvitP0TzP97CJy/thKnRjkW2QPYiK4MyWLWocxbH4aybsv3PV7izDp8/e4g3KhvMGrYFO2t7lF9gmb5jnSxazf8qLEJdW5erGU5nI8+07V7GYDB1fc7OAPFoDdo2VVXAaRe62zPRaRmY3kftaEImguysvyAm+hLMmP7qSe/Lur/XP7UPjf87DI+lYxj5IFPlRPCMXcbn8qLp1WM8g647lmFb2FIIj8+DZw88e0qvwYZe6xbF8QZo6mmjP9NWqQjUKmfZtv0tqWXvCPCy0gg0kqAfdFHAde8Dq59kw4NHemkIGVQUtCUDwn485qy6lNf4YzX8QiKjcPkDf0bilLyRXjQygbEDedaQ5uj3PXeK2PymKiGT0ZikQ/K0sZ2VNVRYd9r5875AYsJNQfM9Hgc2f/Z3qKK/49e9bhXmLPvVCC3l2NM1ENs1QNvJbDrW5b6UaTuaxaRlYv5lV/Lpo1u+46USThU7YZQxPXCwWeVIgiJEaNQQ1wIkeoVsy/yWfFhcvWcq9SZWG4unz3wa/3fG/+Ga1Q8g8aUXAV8CIkS/xdySy3GDqxwhPmHXLyFbh/jJBgymjNnRWHl7rr/sTOmBRnz8f/v5CZ/BCNiy7N31zx8Z1rq5w0UWJTQflJuDSyTEa+NhVAuflX0N+3hgfiiakLETBdONwkk4s0ko1cIo3cNfz7Yvkxcsweqf/RYKjQYqXQjOveNeXm+akInKYFiA7OzHoNNln/B+5u01aHzhEHx2DzzNdrR/EWhyNdhCL0zxn4Ry11vR2qUsWadrsq5BiFwou/Jxycc43ibU0D6Z+769D3d/fTcvAzTY28KholQGtumdgdiTYcFdn0/43aQmZIQQCtqS0zJl+Vm4498v4+Yn/o2oZKEDNiEjgR3Qs7qGX/znEO9ibmoObtjCsr0UrCg6y7JdlUpnrU9AJmPZtcEHwiXH/wGf/lmIOlIDE+Jvg0rVv7IUJDgQ21m7tquuTch0lGk76s2/5Er88L9v4NJf/4GPPhmI/5ja0BgqfM/qKqywhAmNM7QWB3Jbs/w1//Y37D+l52XbtqUJSxGqDIW7zgrZ0WchFlmg9XlgsHXUxRMBCy8dmpMDyXkRuODuqZAqOrchIog7mlGcbsC2cJcw7Hb/NxVoqQke4jvWScOVvGmHwhIctGXvZ2e2rc1tw7GmwAme08VOCBS0CJn/mYZM6ORCF/YQyQzoauZAYUqA+/vRlcWcMmM2bnv6Rdz69Iu8zjQhExXLnGXBWHMviQpdR5m1flKC1veKgI7zi8osA/TnpwzZcolkEhiuyvJ3m7furoNlT3DpPK1cixtybvD/zvUn29blcfGyCt9WfosXD78IqWh0bZv6F7TtX6YtK6XVSaWmoC0hEx0FbcmgdPilTAcy0sQSMTR6obaqy+HBxjcKgjKxshbE4tqHF/C6i/FZVDPnVLDAQXn5c/7rElE00jNvGdFlGmu0msxeA7SdTGYhECORqKlL8Bih1GhP6+SPTCzCsZiOLt0+oEzWWYPNixmtgd2zUymRYDt4CD53IKvV9OlOaCUf8WmLT40KiXDUnr0whjfxGiqsrMqqe6chMScc592RC6lMcnoB2/8d9QdsWQB45W25MMQKmanjqe6bLFLdI9OWmWmc2SMzdjBoZBp8delX+MvSv+CW3MA2PcJ5LmIP3olJW/8AuVE/Kvc7pbLT73BPyFjW8k4hD8a2fxVoWNUVK0vQ9MpRmDcFsju1rKzAtdkQ+0+qDQ2ZUY3Q1Wn+663vF/WopXtV1lUIVQijSj4t+RQlrYESZr050HgAdo+QkDEnavaYSb4YSKatraOeLcMa2BJCJjYK2hJCxo35F6dCHSL3D8st2dsQdLtCJeV1F8fKjt5ooVanIif775BK2c61GDlTHoJEohzpxRpTZLIQKBWx/kzbricUWGOyzh15jSbTXy+VjG/z9BoU+QLDO481Z6LxsBYln0Viysdb/Y2WWO2/EzE5Tbj202vx7a63UXbNNTh+8RqYt2yBs8IEecnTEImEGtTrEpfgxUUGuK5IxJwLhy7LqlN0sp43MTyderP+gO3OuqCA7aS88VneRhqt5jVtJU4d9OpZ/gyrrnVtd9XtGtTXjFRH4txJ5+LsSWf757nqrEHBF0LI6CMJE2qqe61ueB3BdWM9bQ40PLMf9iNNwgwxEHpxGkIvSBm0OuYno5kRBfVModGlz+lF82tH4etS45ydNOrMtvXBh2f2P3PC59tRs8M/nb7VAEeZ0Fh4tJPLjf7Raw57Tb8eE6KfhpTkHyMmeg10upwhXkJCyGg3NsYVEEJIPyjUMiy6PB1fPneYX9/4ZgHisww8WEsGjgW5o6MvQmTk2fB4zJDLx2fAZDjq2tod1fx/yIK0KlU8ny+VarB0yT7eoMzbUcOMjH9TQ9SoDxHDInJD4xOhpkYFU4MWznYWtHfgwYo1mPLD65AWGshW6s2z+5/ltU4Lnt+NKIcPjsJCWDZvgVPfhjDJl/w+ZokaTyRdzTqnYXr4fyFX38+2mBhuljYH1v/3CJZdlYnQKPUpB2zPHccB2866tpJ9WqR9+y8YrsyEOkGoZZsSmgKjyoh4XTymRU4b8uUICtqe5H0ihIwMaagSTgiBS0+rHeKOutjOKjMaXzwMb7twwk6kkCD8miwo04d/lFnoqlR+ApHVtnXVWtG2vhyh5yX7b79y8pV46chLaLY34/PSz3Fr3q1IC+v9N2977Xb/9FRTxpg5oSQWS6GQR/H9P1s/M21DdFP4hRBCGErnIYSMK2kzjUjKDefT1jYnnvvxRlg7dlzJ6WHZtRSwHZxmZN1LJLDArV4/HWGhs0dgychIUIjFyEoOQ7GsI/PIA5jSA3Vmpx8wIyMsA5ITlB8qaSvBq0dfRWq1D4sPC5m5ktBQaM+9EsoqlmUrlEN4Kv4KNMtCkefbC7R+BqlUqF06nOwWFz58fB+q8lvw7l93o7HS1Od9vV5frwFbVi93POsMkLIMOp87kI0vFonxxaVf4MWVL+Lm3JuHdBmczmY4G9r4tEgmhiSMRlUQMhpJQgMn3jytDv+043ibP2DLtiXGO6eOSMCWEcslCL96Mt+WKDLCoFsSF3S7WqbGjTk3+rNtn97/dK/Pw+p5d9Z3j3VGIjY8HuIxlJChVArr7Xa38tFVhBByKihoSwgZd1mhS9ZmQNrRAIF54f7NKNwV3ASBkJEK2spkBrjdfQesyMSxLNGAInUgOFcZPgPoaPbnrtrOopd9PpaV2Hhs52Nwe124/uvAkNOIu34Ix7fboJZs5BUWPmn7Ob7BJbzcwjJ8A0PYwh6NBoeD1+PzNySzmVx4/+97UVsiBAe72/pu0YQL2DIssBL70ALE/HwONB3DijtJxYMboDjcdBgPb3sYnx//nGe5dSrIfwhHp16H4wt+CV+MddiGUhNCBh60dXcJ2moXxkIzJxryRB2MP5zGM/hHEnt9thwRN+RAohVKmHV1xeQrEK4Uki2+Kv8KNeaeJQT21u+F2yuMRJpqyYQiKQRjSde6tg5H/0okEEJIJwraEkLGnZBwFeZeFFyzMTJh+DPLCOkqPHwZFi3chsWLdiAmZs1ILw4ZBeaH6VASJ4cLPtRJvGiN1MGbLhyYeprbYN21u8/Hsi7aW6q2YG6+D5MrhXny5GSopp8NVaNQG7DYsQCltnm4cLsLl+xoxnTshsGwCCOB1Rtf/ePpiE4RDrYdVjc+eHwfKo4FAoadcpfFQ2dQCgHbW6dMiIAtw7LRujcI8nYEKgYb++y8kf8GfrbxZ/iu4jv/fHN7ASD2wqmuh9IQPSSvTQg5fdI+Mm1Z8gIrSxB5S16vQdKRIIvW9HkCSCVV8REEZyWdhbcvfBsx2pgT1rOdasngAemxJMywALExl/M6tScb6eLxWGE2F8DT0XSNEEIoaEsIGZfylscjLlMYDjbj3KST1k8kZKixEggKRWRQIzyfz4MjR3+OsvLn0NY2eF3hydgwK0QNV5QSz4TY8ZLOgc3hkWhbEPh8FL/zIh8uev939wc1r3N6nDzLVur24eoNgWxc4/0/gzLaDqXsEDw+KTabrvffdkbC05DCPWJB28664xfeMw3xk4Vts9vhwcf/tx8l+4KbRoZEqLD6J9Nx3h15SJ4aiYnGai3F7j1XYeOmOSgsejjoNvY5KGsvC/o8DMSeusD2prPRGQsQWx3H+bTcGgV5lNDZnRAy+nQtXWLZHpy9KZKI+Umg0cpjdsK8rdp//Zqsa/D3ZX/nJYF6s6M2ELTNs2ZAPsYybWNjLkVW1iNITr4LCkXwKIru2tr2YfuOlfj2uxyUlDw+bMtICBm9Ru/WnBBCToNYIsaF90zFdX9agHmrhr5TOiEDYbWWoaZmHYqKHuGBWzKxaKQSZCeGwdYx8n17RQhsuV545R0lEr7eiGd3P4nPSj9DtSVwgPvykZdRbirHubt9iG4V5qnnz4N22TKIwhNhu2s3Xrb+CBaP0MhKFlEMffReqNXJ/gZ4I0WulOL8H7JgrJA963X78NmzB3H0+8D6dQZuk6YIQ2YnGpaJ1dq6HS5XEyyWIv/8/xz4D5a9tQwXvHcBKk0d6dUD4PF6ePM6JkIVgQRdAp+22crgg4tPK8xxY6bRDyETkUQfyLT1Wt1w1Y6NWqmOkjbUPbEXre8Xw3pAOGHX9WR2dyaniZdzYSbZYxGuMEAaocJ4xbbDnaiPBCGEoaAtIWTckkjEfIjtiXYGCRlJXRuSabWBJlRk4pgfoYPXIBx8N1kkqHDFwpErZM+qLG7klvr8Nf2Yems9/n3g39BZfbhkS0eWrUiEqJ//3L+te2O/HY3mhf7XiJv+GrsLDIbFGA2kMgnOuXUKMuZ2ZBz5gG9eOgabmZpGOitNML/fCIlbyCTrGrRljXo668/uqts14NfIb8mHxSUEeGYYZ/g/NxZLof8+CkcCpDRChZBRi5VS6fyOijVSeB2B2uajmbvR5m+U1vJOIb/e4z5eN1rsLXxaK9Pi3SVv4u6aK7Gm+UzIE0PG9X69zVbun1apEkd0WQghowMFbQkhhJBhwuqU5Rc8hN17rkRt7YdBQVtdR6MyMrHcHBeBe2YlCVd8wPGymRClyvy3LzwiBG331QuZkf/a+y9Y3VZMKfNB5RIOXPVrLoYiNZ1Puzxe7P6sDCqfcJs6pRHKMOEgMHyUBG07T6qtuD4bU7p0E//21fzTHvY/1rGMOeueesjbhbqOTmc9XK62oDIGzO66vusdn0pphBlRM/zT5i5B2+jzlkMaHhh+TQgZfSKuzYb+whQY75kxZppzqWdHQT1NKHvjc3jQ9NpR+Fxe/yiAj0s+xuoPVuN3W37H57EAbXRjGM5rXYyz2uaPudII3evV2u3Bo0q6s3bJtFWrO/YNCCETGgVtCSGEkGHicjWjsvIltLbuQFv7HpjMx/y3UabtxJSoUuCK3DgkucS4zaKE8chFkFhzIZZ5AYkIHokQfN1TLwTabp96O2/YcnhqKIzrXoXu7LMR8cO70fi3t9H85h6882URMtqF53aLfHg2OwJuSCASyRAaOhejCWtMs+TKDCy6LJ3Xuc1ZHDuuM6j6QxYtZM4pLIFgdmcG7JSIKZCL5acftO34LHUPBFssBf5prTZjwr8XhIx2rEyAbmEcpF1KJYx2vFHaxWn+EgeuagtaPy3h0x6fB4/veZzX7f628lscajzU8Sif//5jrQlZp63bVuDb73Kxe8/afpVHEImkUChih2npCCGjGQVtCSGEkGGi7ZJNazbn+zNtWQ1LpTIQpCETS2K4Gv+4bgZC3EKQrNQ1C4lLm5B6kRvfXJDG5xW1FKHd2Y44bRxv2PLB6g8QmT0d8U88DkexDWHWB6A/chGavvgeUgjPsz1JjnhtIaTwQK+fwZvhjcYD+KlnJmDVvdORmD0xa9h2JdbJIVJKITcHDtY7SyQoJAoeuGUqzZWos9Sd8vOzTObOgC8bdpwemt4jOMwC/CoVZXgRQoaGWCGF4arJgLSjNMvWGlgPNkAukeOW3Fv893ty35P8r2ZWNKJ/Ogsxv5k7ZjKKu5OIhRNyDkctb0Lb1/aZ9TpglMp4iMUdBe8JIRMaBW0JIYSQYSKThUKhiObTLNuW7bwzWs1kymqb4KbnGaENE7Klqpy5kBgkkCvqkGOL9dczPdBwwH9/1kCK8To98Gx4DlJxLZrcRsAu1MCzin3YMl2De/LWYs7sD5GW+tMRWS9yath2gGXbyi1dgrbWol4zY7tmzPYXy2DrrIs7zTgNErGET3u9LlitpXxao06BWBwo0UEIIYNNHqtF6IWp/ust6wrhbrLh4rSLEasRtn+bqzbj5i9uxtbqrbC77ZBo5RBJx2b4QqEUSt6wgK3D0fsJN6ezAV6vUOOXSiMQQjqNza0eIYQQMg6ybf3zdFTPdiKrc7jw2PFaHIkRAmVenwwVzml8OrfZGwjS1exC6zvvwOcMNOwybyyGzvMqn1aK21Eja+XTm1LlMIYosSgsBDpdDs+0JWODLEoNRS+ZtsysqFn+6YGUSOirNAJrfuPzufi0pDYSzmrzgJadEEL6SzMnGqq8iEB929ePQeqT4Na8W/332VG7A7euv/W0SsKMBl1HU/VV17ZrPVsa7UAI6URBW0IIIWSkg7YaCtpOZB6fD/8oq8Mm4diVO26fw//OtDdD7vIhvM2Hotf+g5pf/wbFF1wIy7Zt8Nrc8G1+ChJRR5ft9NlovzQHL6QAu/I0WBttgJgyuMccWbQGEqceYqcmqGwBM9U4FWKRsPs+kCBGTngOH37MArZdA8AaTSqm1L6KhJ2/QOjhMyGS0SECIWToRxaErUn3Nz10VZphO9iIi9Iu4qWAuppunI6xTKmMPWnQ1tZRGoFRU9CWENKBCqUQQgghw0iryew5T0dNyCayWKUciUo5KnxWOEU+yH0ilDlmwuWQQLb7CJ6v8aEwBohr8vH7u8rLIZJIYPrmCHS+t8BK2PrYefhzH8D2Yg8qZxt4VdvLYwwjvWpkgJm2Ioh4MzKbvICXUXG7Tbz2tUamQZYhC4ebDqOotQit9laEKkP7/dyZhkx+6Y2vTgZ1y2TeAE9qEJr+EELIUBIrWX3bLDQ8dxCh56dAPd3I57OTSw9ufZBPp7oT4Pi4CqoLUsfsCaX+ZNraHYH5lGlLCOk0Nrd6hBBCyBjVPUDLMm+1mowRWx4yOswL1cDr9eG4VCiHYPeFoAEZsDe4oHD5MKXchzCLcF/dWWdBMXkqxDuegFhkgc8H+LIuxzZZPMrsQumE2cpW1B+5AaWlT8HpbBzJVSOnSBolZNgaSlcisfYnmDvnU4jFqh5lDXQyHUrbhTq0p8vn8cLdKNRSZF3aRRLK0CaEDA95nBYxv5gNzawo/7xVaauwJG4JFF4Zbqi+CLajzf7GZWM+09ZR1et9UpLvwZLFuzFr1rvQ6wPlawghExtl2hJCCCHDSK1Khkgkh8/nhFqdirlzPhnpRSKjwDy9Fm9FKlEsMyHTJTSHKnXOQmriB2jO1wbuKJPB+NP7YF6/Bzp8CKdXifdb/ojc8Pl4vToQnF0q2oDW1u38Eh29eiRWiQyQRCODWCeDtmE6xBYpNJqMoEaFazPX4qLUi5AWmuZvJHa63E12VqfDn+lLCCHDSawIDktIxVL8PftR1H+1Rxh5MEU3phu29ifTtrNhrV7W/9EThJDxj4K2hBBCyDASi6XQatJhMh+G1XocHo8dEolQz41MXPNCtYBCgqIwMbxWVuxAhFL7HExPeiMoaGu4+mqI9dGQ7P0lxBIH9prXosGVim/W1cOU1ALM00EvESPHto7fX61OC8rwIWODdmGcv74tWCy1S6wiISRhQM+5t34v9HI9kvXsxFHgCb1eB/KLHoQvQQVVWypCjImnvwKEEHIarAcbYfqmnAdsGXlSCMYyucwAsVgOr9cJu733TFtCCOkNBW0JIYSQYRYTswbhrmUdTcnGbuYIGTzJKjki5VK0RClRXetAlEcEpbIZ0nN+DEXBBjhKqyDR6xFxx+0Qy13QqL6HxRaGfdZV/PEe+JCaEYY7Ewzw2Esgq7fz+eGGRSO8ZmQgQpYNLDB7In/Y9gcUthQiQhWBLy75AnKJnM+3WktRZ38HyAJ0NfMQG7Vy0F+bEEL6q/XjEpg3Bwc2x3rQViQSQ6GIhc1WyjNtfT7fmM4cJoQMHwraEkIIIcMsIeGGkV4EMsqwgzdWIuHjSCs+UZthEfswLykMa86+F3FpV6L17XXQr17FA7fcvXuw5R+fwO0TsrQPq7x47LxM6FUyHDv2FDoPdw0UtB3TWDa+2VzAG9QkJtw44Odpc7ShqKWIT0eqIv0BW8ZsKfBPK8xxkHXU1CWEkJEgDVN0myGCPLZLmaAxKjvrUYglSqi6lEroZLEUoaLyZahVSQgzLICOn9QnhBAK2hJCCCGEjApzQzX4SC9Dm1IEkcuHPdV6ON1eKFJSEPXz+4Pu29QiR0FFHM/TdsCH5CWxPGDLsneamjfx+7DayWFhc0dobchgOHLkZ2hr38unY2Muh1QqBFQbbY1YV7AOe+r2YE7MHPwg9wcnfJ599fvg43UWAo3MOlkshf5puTUe0nAq10IIGTmaBbFwlLTBdriJX5fH6SCSjv3+6aGhs/q8zWQ6jKqqV/h0WtovKWhLCPEb+1s/QgghhJBxYD6raysSwRshZBnZ3DLsKGmEs9oM64EG+Dxe/303riv0F9bYqfbgpjNThcfYymC3V/Lp0NCZkEioqdRY5XV6oMIk/3Wrtdg/7fF68OS+J7G1Zis2V20+6XPtrt/tn54RNSPoNos5ELRVy1IhktDhASFkZEeehF2aAVmMcJJKOy8G453VVuafZtm2hBDSiTJtCSGEEEJGgckaJW6Nj0R13Sf4qmYan/fpm4cRZ66DTloDe3wmoA1DW/okVB9t4be3ibwozlDhzZY2XKaQwN0cCOAZDItHbF3I6av75x54tEpgciAjNiQkj09HaaIQr41HpbkSBxsOwulxBpU86I5l5HaabpwedFtneQQR5IhYGBzQJYSQkSBWSWG8azp8DjfEahnGO3bCtZNKRc0gCSEBdCqdEEIIIWQUkIhE+H16HK5K2AeN14tVFhkSq+0ocOTDIP0LNDV/hL5wDba+utX/mM0qNyriVXi4pAa/Kaz0l0ZgqAnZ2CYzqqGwxPqvm7uUMeha5sDpdeJQ46E+n8fmtuFw42E+PSlkEm9E1snjccBmK+fTWm06NNPHf0YbIWRsEElE4ypg63abUFf3CcrK/4OGhvVBt9msFLQlhPSOgraEEEIIIaOIQavHbTOfwWQ44PEpUO6YAR8cUIgPo9AxBy2uUH6/WokXDWlq+DTCwKm1UaFoadnGp2UyA7TarBFdD3J6ZFFqyM2xQY1quupam3Z3XaD8QXcsE9ftc/daGkEouSCU3dBo0gdt2QkhhARzOptw6PA9KCr6M2rrPuq1PIJCEQ2JRDVCS0gIGY0oaEsIIYQQMooo5JHIiTwGbcxBft3p06DaKQRgE+T7YdXUwgsfvlW6UB0vNI2KUciwPCIU8+d9hezsvyEl+V6IRLSbN5ZJozWQOgwQu5WnFbQNqmdr7FbPtkv2LgVtCSFk6CgUgZEMdnt1UAauy9XMp1VUz5YQ0g3tzRNCCCGEjCImaRy2Yz4Oxmr980odc/hfpSEO8247E7tzVJCmaOHRCXVML4828PIKCkUkYqJXIz7+6hFbfjJ45RFErNJsR7at3V4Bj8fqvz1Bl4BIVSSf3lu/F26vkE17onq2XQO93UsuKL0ULCCEkKEikSgglwvbbEeXoC01ISOEnAgFbQkhhBBCRpFH2pfhCdFP8WbMInQmy5Y6ZsHnA8QX/B6LM6Lwwl3z4Zxm8D9mbXRgmowPMqOKdQeD3BLnn2exsHIGgQ7rnUFYq9uK/Jb8Xp8nTBEGnVwHo9qIOG3guRitOhPa+lmQm2Pg/MQ3ZOtCCCEEUCqFk3AOZz28Xmcv9WwpaEsICSYUQSOEEEIIIaPCAkM4trbXwWlzo1knQVibB+2eaDQl3oSItDP4ffa0W1HsdPHpeXoNktWKEV5qMthEMgmk4SooutW1DQnJ9V9nQdvPSz/n07trdyMnPKfH8zy29DF4fV7UW+t5oLerCNkKuPcJNZJVU8KHcG0IIYQolXFob98PsEr1jlredMzWJdNWpaagLSEkGGXaEkIIIYSMIvP0QlkEkcODPU6bf/5HBZfA4xGyIV+vEerfMWtjDGhq2oj8/AfR0PAV3G7LCCw1GbJmZJZYiF0qhKin9WhQ07Wx2Inq2opFYkRronvMd9UFyi1IjepBW25CCCE9KbvUtbXZq/hftToVRuP50OmmQKNOGcGlI4SMRpRpSwghhBAyiszQqyEVAW6DAsVyL87siNta25x4962jWHl5Jt6vb+HzNBIxLowMRXnhZ6iueQuVVS9j2tT/ITx88ciuBBm0ZmSaw7lI2/AUIq7JhsoYEXR7Wmga1mauRV5kXo96tf3hqrcGBYgJIYQMbaZtp866tkbjOfxCCCG9oaAtIYQQQsgoohaLka104YBPhuYIOarNXsR6xDCJfPjn/lLUpKjRkXCLVcZQqCViNDVv4tfFYjlCQ2eP7AqQQcMCqSKIIdEr4HN7e82g/fW8X/f6WJ/PB7fPDZlY1uvtbrcZrvp2/3WpUTOIS04IIaSvmraMrUszMkII6QsFbQkhhBBCRhFWdzTJvh4HcB68kUp81NCOyU4J8mUeRIYqccfsJNzk8+HD+lbk6VSwWkvgcNTwx4bq50AiUY70KpBBopxsQOyD8yFWnvou+/G241j7yVrkReThkoxLsDJ5ZdDtpaVPoTz8ecjmRyPm8C2QRSwcxCUnhBDSn0xbQgg5EappSwghhBAyyuTK6vhfb4QS7WIfdijdaJP4cMuSFMgkYmilElwVG44pOjWaO7JsGUP4ohFcajLYxHJJj4Aty6Dtj931u2Fz27C9djtqLEJQvyuzpQA+sRtOXSXk2nCIZHRYQAghQ51pK5cbERIyDUpVPLxeJ7xe90gvFiFkFKNMW0IIIYSQUWaq0gSRwwufRgp5iBzOdicMGjmumJ3Q475NzZv90wYD1bIdj5qbt6Cs7FlYLEVIS/s5oqNXBd3eam/Fnvo9ONp8FHdOvZNna++p2+O/fYYx0LCsk8VUyP+K3EqoQhOHYS0IIWRik8lCsXjRVv/1+oYvcOjQPTwDNyX5Rz227YQQQkFbQgghhJBRJlwZgoS2cpRjEsy5objZp8IVsxLgFYuC7uf1OtDSso1Py+WR0GoyR2iJyVDyeO1obtnCpy0WIdja1f0b78fWGiEQcFHqRUjQJfiDtkqJEjnhOcHP57HC7qzk0wpLLORRVM+WEEKGm81aBp/PDZutjJ1CG+nFIYSMQqc0Durpp59GXl4eQkJC+GX+/Pn47LPPhm7pCCGEEEImIIXciCnYj0zfEdySKsa9505GvUKEvO8P496j5ThqtvH7tbXthdcrTBsMi3iGJRlfnBUmeDYFmomxbNvuZkbN9E+zYG2tpRbVFqFeYl5kHmSS4GZkXZ9DYY2HzKgeoqUnhBDSFysP1grU6kkjuiyEkHGQaRsfH48///nPSE9P5/W0XnzxRaxatQp79+5FTk7wGXxCCCGEEDIwcnkErsajfHpK+BMIl8/E6zXNsHq8eKO2GedEhCBLqwoqjRBOpRHGJY/JCdd2H0RnyuGTOGGx9gzazogKlD/YXbcbUrG019s6dc3WjVy0EKr4yCFZdkIIIX0TMmwFKlXSiC4LIWQcBG0vvPDCoOsPP/wwz77dtm0bBW0JIYQQQgaJXGH0Tzuc9Wh2ufFFYxu/HiGTYkW4nk93bUIWZlg4AktKhposSg0RxJBbYuAIKYPVWsbLYojFCv99ciNyIRPL4PK6eG1bNn2ierbmLkFbrTYDIgllaBNCyHBobPwGZeXPwWGvgc1ezudJpXrIZMLvOiGEDEpNW4/Hg7fffhsWi4WXSeiLw+Hgl07t7e38r9fr5ReGDeVjF5a927Uj7snmdz5+oPPFYnGP5z7V+QNddlonWidaJ1onWidaJ1onWqe+llEui/BPOxwN+KK2Gc6O2y+NDoNUJOxLpab8As3NG+Fw1EAhjxjV6zQe36fhWCdJmBIimRhycywP2gJeWKzHef3izueWi+WYEjEFe+v3oqy9DG0OIcAvEUmQG57Lp7sui9lc4H8NtTot6HXpfaJ1onWidaJ1Grp1crra0Nq6Peh2lmXb9TFjbZ1Otoy0TrROtE4953e/bdCCtgcPHuRBWrvdDq1Wi/feew/Z2dl93v+RRx7BQw891GN+Q0MDfw5GpVJBr9fzgK7NJtRlYzQaDXQ6HVpaWuB0Ov3zWT1dtVqN5uZmuN1u//ywsDAoFAr+3F3/YeHh4ZBIJKivrw9aBqPRyIPPTU1N/nnsHxgVFcVfj71uJ6lUioiICL58nYFnRi6Xw2AwwGw28wB2J1onWidaJ1onWidaJ1onWqeBrhMQqDHa1lqOh81CfVJmbYyhyzolQ6dLRlxcCL9tNK/TeHyfhmudfAYZbxhm6phvNhVAqUgNWqfJ2sk8aMu0Olr53zRdGuwmO7QKbdA6mUzH+F+JRAuXS4u2tsD/jN4nWidaJ1onWqehWyebVYXuxKIo//qOxXUaj+8TrROtk2WI16nr656IyNc93HwSbEHKy8vR1taGdevW4bnnnsN3333XZ+C2t0zbhIQEvlJsRfhCUCSe1onWidaJ1onWidaJ1onWyT/f7W7F1m0rUCCZi986b/PPn6FT49NZGWNyncbj+zRc69T0Vj7qKz5H9fQn+PxJk+5CSvK9Qc+9pWoL7vzmzqDHX5t1LX4666dB6+R2m7Fp83R+u9qeiWnJL0ORGTbs6zQe3ydaJ1onWidap5PNt9ursHXbsqDbk5J+yLfpY3WdTraMtE60TrROPeez2CgL4rLYamdsdFCCtt2tWLECqampePbZZ/t1f7ZgLEJ9sgUjhBBCCJnoSm0OzNt21H/9L5nxuDY2UDqBTAymjZVo+HYrji/6Bb8eGXku8nKfDLqP2WnGwjcWwuvzQifX4Vdzf4VUfSqywrOC7sd2/Zs3HkDj9m38evxZF0MzPVBDmRBCyNDxet3Y8C3bLgeCOdlZf0FMzJoRXS5CyPDqb2xUfLovxCLEXTNpCSGEEELI4EhSymGUB6pZrTIKGZE2WwUqK1/lTanI+CeL1kBmi4TII3wWLJaiHvfRyrXIDMv0B3AXxy3uEbD1Z3nUq6BpzuYXmTFQioMQQsjQEoulUCiiguap1EkjtjyEkNHtlGra/vKXv8TKlSuRmJgIk8mE1157Dd9++y2++OKLoVtCQgghhJAJigXY/pQejyfK6nBjfARCpBI+v6HxKxQW/pFPZ2b+AfFxV43wkpKhJItSQ+STIKLwMqgiohG98oxe7zc3Zi6kYilmRs2Ey+vq8/lc9VZhQgRII3vWVySEEDJ0lMo43kCUych4AFpNxkgvEiFkPARtWaHf6667DjU1NTyNNy8vjwdszzrrrKFbQkIIIYSQCewCYyi/dNXctNE/HaqfNQJLRYaTOEQOkVIKQ/k5kLQpoNP13kviJzN/wgP9J8LKI7jrhKCtJEwJsVw4EUAIIWR4KJWxaGsTpg1hCyGV6kZ6kQgh4yFo+/zzzw/dkhBCCCGEEL+a2vdRV/cRnM4GZGU9Bp12Mp/v8TjQ0rqDTyvkUdBo0kd4SclQY4FY7cJYiCQiyKI0PPDaW3D2ZAFbpujoX+Aw2qFoT0KYkQL+hBAyEpm2nez2amg0qSO6PISQcRK0JYQQQgghw8NmK0dT07d82mGv9gdt29p2weu182mDYVG/AnVk7NOfdfo1D12udpTXPgtkA6qWDESqlwzKshFCCDm1TNtOdnvViC4LIWR0o6AtIYQQQsgopJBH+qcdjnr/dHPzZv+0IXzxsC8XGTksw5YF8y3WIsDnQWTk2af0eIu10D8tN8dCNomakBFCyHAL1c9ESvK9PHgbGjp7pBeHEDKKUdCWEEIIIWQUkncN2job/NNN/qCtiNfCIxOHz+fBtu3nwOdzQaPJOPWgrTkQtFWY43iDM0IIIcNLq83kF0IIORnxSe9BCCGEEEKGnUJh9E+zuraMw9kIs/kIn9bpciCXG0Zs+cjwE3nFUMmFMglW63F4va5TerzF0iXT1hIHaSQFbQkhhBBCRisK2hJCCCGEjPJMW2dHeYSW5i3+eQYDlUaYaGof2wlJqRCoZ9m2rFTCQIO2EbPmQqyQDPoyEkIIIYSQwUFBW0IIIYSQUUguD+9RHqGpeZN/Xrhh0YgsFxk5UqOaZ8h2sliKTunx5o6grUwWBsPyqYO+fIQQQgghZPBQ0JYQQgghZBQSi+WQyQxB5REMYQsQEX4G5PII6PXTR3gJyXBjNWgVltheM2dPxuVqg9MpZGxrNOkQiURDsoyEEEIIIWRwUCMyQgghhJBRSiGPhMvVDIejAT6fDzExa/jF5/NCJKJz7xONLEoD+b6BBW273pcFbQkhhBBCyOhGe/uEEEIIIaO8rq3P54Tb3e6fTwHbiUkapYbcGgV4hVq0Fmv/yyOYLQX+aRUmwef1DckyEkIIIYSQwUGZtoQQQggho5Qx6jzoQnKhkEdAJKKmURMdK48g8kl54NaprYbVWgKv1w2x+OS79EpFNEJMc2ATl8Hxvhe+H3kgUtKhACGEEELIaEV7aoQQQggho1Rc7BX8r8djR7vpIPQh0yAWy0Z6scgIESulkIQqIDfH8qCt1+uE3V4BtTr5pI8ND18Ox14VfHY3JHoFfy5CCCGEEDJ60dg6QgghhJBRrrV1J/bsWYuNm2aiouLFkV4cMuLNyOIgciuhU+fC7bH063Fek4sHbDvLLBBCCCGEkNGNTrETQgghhIxyzc2b+F+PxwK5QqhzSyYmabQGhk3nI7x4NSJunAKVztCvx7nqA8FdmZGCtoQQQgghox0FbQkhhBBCRjGv14Xqmnc6rolgCFswwktERjrTVuyVQ6yTwWf39OsxXq8DrlpT0HMQQgghhJDRjYK2hBBCCCGjlNVahq3bzvBfDwnJg0wWOqLLREaWKiccyt/Og0TT/9rG1dXrUOD4I+TzohFZcAUijVOHdBkJIYQQQsjpo6AtIYQQQsgoJZeHB103GBaN2LKQ0UGskAKKU3uMxVIIn8gJR0g5RF4plUcghBBCCBkDKGhLCCGEEDJKSSSaoOsGw+IRWxYyutTUvIO6+k9gsRRh+rSXoVYn9Xlfs6XAP60SJUOsokMAQgghhJDRTjzSC0AIIYQQQnonEokglYb4r+tDpo3o8pDRw2otRVPTd7Dbq2CxFp3wvhazELSVOPRQRhiHaQkJIYQQQsjpoKAtIYQQQsgolpP9N+j1M5GT80+Ixf2vY0rGL0d5O3BU579uMRf2eV+nsxEudwufVljiqDQCIYQQQsgYQWOjCCGEEEJGsYiIM/iFkE6eVgd8+zTAAuG6xdp30NZsCdxmyJ2NkORJw7GIhBBCCCHkNFGmLSGEEEIIIWOILEoNuTUa8In4dVbX9kRNyDpptekQyyXDsoyEEEIIIeT0UNCWEEIIIYSQMUQaroJYpIDMKtSntViK4fN5Txq01WjSh20ZCSGEEELI6aGgLSGEEEIIIWOISCqGNEIFhSWWX/d6bbDbq3u9b9d6txpNxrAtIyGEEEIIOT0UtCWEEEIIIWSMkUVrIDfH9ZpR28nn88FsLuDTUrcBzr3WYV1GQgghhBAycNSIjBBCCCGEkLFY1/agkGnbGbSNiFje437TY15DzQdfwyu1w5lihmaYl5MQQgghhAwMBW0JIYQQQggZY2RRGii2dg3a9mxGJhKJIG4OgaYpT3jMfArZEkIIIYSMFRS0JYQQQgghZCxm2lpiEHZ8JbShGYidc06v93PVBUoiyIzqYVxCQgghhBByOihoSwghhBBCyBgjMSghkahgLLyCNyXTajN7vZ+7S9BWGkVBW0IIIYSQsYKCtoQQQgghhIwxIrEImvmxEMvFvClZbyoqXoQJNZCFxEDjzYREIxv25SSEEEIIIQNDQVtCCCGEEELGoNDzkvu8zefzobjkH/CkmSCNMyC76vlhXTZCCCGEEHJ6KGhLCCGEEELIGOXzeWG318BiLYRcZkBIiNB0zOGsg8dj4tMKSxykVM+WEEIIIWRMoaAtIYQQQgghY5TJdAg7d13Mp2NjLvcHbS3mQv995OY4yLIoaEsIIYQQMpaIR3oBCCGEEEIIIQOjUgZKJJgtgUCtpcu0wkyZtoQQQgghYw0FbQkhhBBCCBmDWN3ahkcPQ2oL9wdq2bzO6U6hadP6bFZGCCGEEEJGJwraEkIIIYQQMgaJRCJII1Q8k5bxeMy8li1jthT47xd19lJINLIRW05CCCGEEHLqKGhLCCGEEELIGCWLUkNuifVft1iKeLYt+8solXGQSinLlhBCCCFkrKGgLSGEEEIIIWM4aNuZadtZFsHhqOFZt4xGkz6CS0cIIYQQQgZKOuBHEkIIIYQQQkaUNFrTLdO2EGZ1oDmZSprCM29ZKQVCCCGEEDJ2UKYtIYQQQgghY7k8gjm4PIJErIbePRcyWwTcX0ngKG4d0WUkhBBCCCGnjjJtCSGEEEIIGaMkWjlkqhBI7Qa4lc08aBsaOhtJFb+Eo7AVPvggM1JNW0IIIYSQsYYybQkhhBBCCBkH2bYijxxKeRw8Hgvc9VZ+m1glg1gnG+lFJIQQQgghp4gybQkhhBBCCBnDZFEaxO64A2K3CpG3TIXYrYSnzSncZlRTPVtCCCGEkDGIgraEEEIIIYSMYdJoNSRuDcRqKTwWO5x1wVm4hBBCCCFk7KGgLSGEEEIIIWOYOi8SqqxwiLUyNDVtwMED90A+NxqG0pXQG9eO9OIRQgghhJABoKAtIYQQQgghY5hYKQWUwrTZUggvbLDrj8MrdlOmLSGEEELIGEWNyAghhBBCCBkHysqeRXHxY/7rCnMcr2lLCCGEEELGHgraEkIIIYQQMg40N28Juq7wxEMcIh+x5SGEEEIIIQNHQVtCCCGEEELGOEd5OyR1EUHzFBGhEIlEI7ZMhBBCCCFk4ChoSwghhBBCyBjnbrDBU+UKmhd+XfaILQ8hhBBCCDk9FLQlhBBCCCFkjJNFa6Ctm+W/PinpTki0VBqBEEIIIWSsko70AhBCCCGEEEJOjzRSBZUpBcaj18BjbEXSkltHepEIIYQQQshpoKAtIYQQQgghY5xYLoHUoERYxQqIasWQXKId6UUihBBCCCGngcojEEIIIYQQMg5IozT8r8/lRcu7hSO9OIQQQggh5DRQ0JYQQgghhJBxgGXadrLuqhvRZSGEEEIIIaeHgraEEEIIIYSMAxKdzD8tUlEVNEIIIYSQsYyCtoQQQgghhIwD6plRECkkfNpwacZILw4hhBBCCDkNdAqeEEIIIYSQcUCilSP6p7Pgtbog66hvSwghhBBCxiYK2hJCCCGEEDJOSHRyfiGEEEIIIWMblUcghBBCCCGEEEIIIYSQUYSCtoQQQgghhBBCCCGEEDKKUNCWEEIIIYQQQgghhBBCRhEK2hJCCCGEEEIIIYQQQsgoQkFbQgghhBBCCCGEEEIIGUUoaEsIIYQQQgghhBBCCCGjCAVtCSGEEEIIIYQQQgghZBShoC0hhBBCCCGEEEIIIYSMIhS0JYQQQgghhBBCCCGEkLEatH3kkUcwe/Zs6HQ6GI1GrF69Gvn5+UO3dIQQQgghhBBCCCGEEDLBnFLQ9rvvvsMPf/hDbNu2DevXr4fL5cLZZ58Ni8UydEtICCGEEEIIIYQQQgghE4jI5/P5BvrghoYGnnHLgrlLlizp12Pa29uh1+vR1taGkJCQgb40IYQQQgghhBBCCCGEjCn9jY2eVk1b9uSMwWA4nachhBBCCCGEEEIIIYQQ0kGKAfJ6vbj33nuxcOFCTJkypc/7ORwOfukaTe58PLswIpGIX1jSb9fE35PN73z8QOeLxeIez32q8we67LROtE60TrROtE60TrROtE60TrROtE60TrROtE60TrROtE60TrROE2udvN1uG/SgLatte+jQIWzevPmkzcseeuihXksr2O12Pq1SqXhaMAvo2mw2/300Gg1vetbS0gKn0+mfz1KH1Wo1mpub4Xa7/fPDwsKgUCj4c3f9h4WHh0MikaC+vj5oGVhpB4/Hg6amJv889g+Miorir8det5NUKkVERARfvs7AMyOXy3mmsdlsDqrtS+tE60TrROtE60TrROtE60TrROtE60TrROtE60TrROtE60TrROtE6xTWZZ26vu6g17S966678MEHH2Djxo1ITk4+4X17y7RNSEjgK9VZt4Ei8bROtE60TrROtE60TrROtE60TrROtE60TrROtE60TrROtE60TrRO432d2tvbeRD3ZDVtTyloy+56991347333sO3336L9PR0nCpqREYIIYQQQgghhBBCCJmI2vsZG5WeakmE1157jWfZshTg2tpaPp+9EEsXJoQQQgghhBBCCCGEEHJ6TinTlqXx9uaFF17ADTfc0K/noExbQgghhBBCCCGEEELIRNQ+FJm2pxDfJYQQQgghhBBCCCGEEDIA4oE8iBBCCCGEEEIIIYQQQsjQoKAtIYQQQgghhBBCCCGEjCIUtCWEEEIIIYQQQgghhJBRhIK2hBBCCCGEEEIIIYQQMoqcUiOywdDZzIx1SiOEEEIIIYQQQgghhJCJor0jJtoZIx01QVuTycT/JiQkDPdLE0IIIYQQQgghhBBCyIhjMVK9Xt/n7SLfycK6g8zr9aK6uho6nQ4ikWg4X3pCRexZULyiogIhISEjvThkkNH7O3HQez2+0fs7sdD7PXHQez220fs3sdD7PX7Rezux0Ps9vrWPw/eXhWJZwDY2NhZisXj0ZNqyhYmPjx/ul52Q2Id5vHygSU/0/k4c9F6Pb/T+Tiz0fk8c9F6PbfT+TSz0fo9f9N5OLPR+j28h4+z9PVGGbSdqREYIIYQQQgghhBBCCCGjCAVtCSGEEEIIIYQQQgghZBShoO04pFAo8MADD/C/ZPyh93fioPd6fKP3d2Kh93vioPd6bKP3b2Kh93v8ovd2YqH3e3xTTOD3d9gbkRFCyP+3d99BUhRtHMf7QI4gSFABOSUrYAAtFeS0Sg4wlVVgohQV1MJAMFtgwgCWSFIK4Q9BAVEsERRExRIDHKiAJQgi0QM5FUUpogSR1G/9+n13372wsBe8m575fqoG7nbnunvn2d2ZeaanGwAAAAAAAMnR0xYAAAAAAAAAAoSkLQAAAAAAAAAECElbAAAAAAAAAAgQkrYAAAAAAAAAECAkbcvICy+8YC688EJTo0YNU7duXXPNNdeYdevW5Vln//79pl+/fubEE0801atXN9dff735888/489///33pnv37ua0004zVatWNa1atTKjR49OWufXX39tjjvuOHPuueces32aj+7pp582p5xyiiu7c+fOJicnJ8863333nbnssstMrVq1XBvvvvtus2fPnmJtj7AJenxnzJhhLr/8cld3WlqaWb58eYF1jtU+hCfW48ePNx06dDAnnHCCW2fnzp1F3g5h5Xt8t2/fbu677z7TokULV3fDhg3N/fffb3bt2lWs7RF2ZRXv7OxsF6/8yx9//FHiffPzzz9vMjMzTbVq1dz+GeGNd25urunVq5dp0qSJe75Zs2ZuJuUDBw6YsPM9dtKlSxf3nVylShW3Xo8ePczvv/9eKtsnbMIQ75h//vnH7d+THZNFURji27hx4wLlDh06tFS2T5iEIdYye/Zs065dO7dO7dq13euA//HNTlKulm+//dYEBUnbMjJ//nz3Zl28eLH57LPPzMGDB92J9969e+PrPPTQQ+bDDz8006dPd+vrQO66666LP7906VL3YZgyZYpZtWqVefLJJ83jjz9uxo4dW6A+JWF69uxpOnXqlFL7hg8fbl5++WXzyiuvmG+++cYcf/zx5oorrnAfMlFb9CZv3ry5e/6TTz5xbbj99ttLZfv4LujxVTsuueQSM2zYsKTrHKt9CE+s9+3bZ6688krzxBNPFPn1h53v8VVbtIwcOdKsXLnSvP766+77WokelH+8dSC7efPm+KK/K8m+WZSw69atm+nTp0+pbZew8j3ea9euNUeOHDHjxo1zdY8aNcqtG4Xvct9jJ1lZWWbatGmu7Pfee89s2LDB3HDDDaW2jcIkDPXjWkwAAAkpSURBVPGOGTBggGnQoEGJt0mYhCW+gwcPzlOuLpojfLHW97Uust1xxx0uwajOFjfffHOpbSOf+R7fzMzMPOVpufPOO93F8QsuuMAEhkW52LJli9Xmnz9/vvt9586dtlKlSnb69OnxddasWePWWbRoUdJy+vbta7Oysgo8fuONN9qBAwfaZ555xrZp0+aobTly5IitX7++HTFiRPwxtady5cr27bffdr+PGzfO1q1b1x4+fDi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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# ────────────────────────────────────────────────────────────────\n", + "# 4. Figure 5 – Actual vs. all model forecasts for this tier\n", + "# ────────────────────────────────────────────────────────────────\n", + "if best_tier in preds:\n", + " plt.figure(figsize=(14,7))\n", + " actual = datasets[best_tier]['Copper_Price'].loc[preds[best_tier].index]\n", + " plt.plot(actual.index, actual, lw=2, label='Actual')\n", + " for mdl in preds[best_tier]:\n", + " plt.plot(preds[best_tier].index, preds[best_tier][mdl],\n", + " '--', lw=2, label=mdl)\n", + " plt.title(f\"Figure 5 – Forecasts (tier {best_tier})\")\n", + " plt.grid(True, axis='y', linestyle='--', alpha=0.3)\n", + " plt.legend(loc='upper left', bbox_to_anchor=(0.01,0.99),\n", + " frameon=False, ncol=1)\n", + " plt.tight_layout()\n", + " plt.savefig(MODEL_DIR / f\"Fig5_Forecasts_tier{best_tier}.png\", dpi=120)\n", + " plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "3f87b71e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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iYqUtS62AgrRutrTxp8bvA0C7EhMao9iwbvKUR0juSA3v1UUhBGw7Ba4yAAAAAAC16BMXqXl/m6rXLtpPF0+uv35tbbqGddXUflOddk5xjn7c/GPjdxIULB1wVcXr7x5scn8AtA8PHvKgHtjvHeWv/KvzelRKbKC7hFZCeQQAAAAAAGrh2rJECd36KKF/3G7v67RhpykuIk4nDj5Rg7sPrnW7otJyffnbVr2zIE2XHTJYoysHacaeLs36h1SQIa36QiovderuAui4FqfmKMwjJboyNDppRKC7g1ZC0BYAAAAAgJpYQPTJgyRPuTTgIGnGe1qwdYFCg0M1oOsARYVGNWp3ExInOI/6vP1Lqm5881en3bt7ZNWgbUiYNOBgafHrUmmBlLZA6rNX48cGoN1Yn1Woka71ejv873J/Fi4VXSNN3rUuNjoWyiMAAAAAAFCTbeu8AVsTFe883TfvPp3+/una96V9VVha2CKHPWJ0L4UGu5z2e4vSVO721tT1s0nIfNbPaZE+AGg7bj5ulJ6f3t1pB5UXS2Exge4SWgFBWwAAAAAAapK50t/cFNxbHo9Hq3NWO697RvdsdKZtdbY/e1TXLSpMBw9NdNpbcov1w9qs2oO26wjaAh3Vayte0x8//aNu/u5mZW5fVLEiYUggu4VWQtAWAAAAAIAalGas8LdfXRuhzB2ZyivJc14Pim36pGRZO7I0c/FMHff2cfou7bsat5k+PtnffndBWtWV8YOlmJ7e9obvpfKyJvcFQNu1JHOJ5qbP1Rsr39CObWur/g1Ah0fQFgAAAACAGhSk/uZvu+IH+bNszcBuA5u8X6uLe//8+7Uud53eXPlmjdtMHdFTUWHBTvvDX9NVXLazTIPTGVdFtm1JvpS+sMl9AdB2rdq+yt/us23njzdBoVK3foHrFFoNQVsAAAAAAGrgrlQeITJpuFZvrwja7k6m7UF9DlJcRJzT/mLjF8ouyt5lm8iwYE0b1ctp5xaV6avlGVU3sKBtSIR3gjQ3mbZAR1PuLtfy7OVOOzooUVGZO//+xA2QgkMC2zm0CoK2AAAAAADUICLHezvyVk839U7qqTXb1/jXDerW9KBtaFCojht0nNMuc5fp/dXvN75EwtjTpRs3SDPek/ru0+S+AGib1uasVVF5kdMu3t5NIe5i74p46tl2FgRtAQAAAACorihHUaXeCcDWenppQEJ0lfIIA2IH7NbuTxhygr/91qq3apyQbP/BCYqPDnPany/boryi0oqVYVFSSPhu9QFA27U0e6m/3aM4smJFfNN/MEL7QtAWAAAAAIDqMitqSa52J6l/fLQ/07ZHZA/Fhsfu1u4Hxg7UhMQJ/rqVv2b+uss2ocFBOnpsktMuLnPr21XeIDKAjm9Z1jJ/e+DOJFtHApm2nQVFMAAAAAAAqC5ng7+ZGd5XxZ5cbSvettuTkFV2wuAT9MvWX5y2TUg2tsfYXbY5ZWIfdY0I1XHjkzW0Z5ead+R2S0XbpShvnVwA7d/SrIpM27HFhRVpl5RH6DTItAUAAAAAoJrtA47WyKJndHTxP/VbwuHKKMxQr+heuz0JWWXT+k9TVEiU0/543ccqLC3cZZsxvWP1p2nDag7YFuVKr5wp3TNQeuuiZukTgLYxCdmybG+mrbukm+4pOVffHfe19Pu3pF6jA909tBIybQEAAAAAqGZtZoEKFaElnv4a16uvhsUN02cnf6b8knyVuEua5RhRoVE6csCRemPlGyooLdCn6z/V8YOPb/gOwrtIG3+QdmyTNsyVysuYVR7oANbnrdeOsh1Ou7woRR4FaciQEVIX6lh3JmTaAgAAAABQQz3ZI0f30vBeXZyHT0xYjOIimq8MgW9CsojgCGXuyGzcm10uqf8B3nZxrrR5UbP1C0DgJEYm6t6D7pM7+1CV5Y5VSrdI9SBg2+nwExwAAAAAANWMTonV42dNbPHjjE0YqzsOvEMH9z5YXcJqqVkraWN2od5ZkKp3F6bp6Rl7qU+ct6yC+u0vLXnL217/rZSyR4v3GUDLsh+Heofvo4Itpc7rCWO7BbpLCAAybQEAAAAAqCxvs/T2pdLs+6WNP7booVwul44ZeEydAVvz3qI03fvpCq3Yku8Ebv36H1jRXjenBXsKoDUt2LjdeZ7oWq4/Fs2U5j8nba+YIBEdH0FbAAAAAAAq27pMWvCCNOsWadm7yinO0VkfnqWbvrtJn6z7JCBdOnZssr/99i+p8ng83hc9hklRCd72+u8kd3lA+gegee3Rt7uuPHSIfpe4XmM3PC+9d4WU+nOgu4VWRNAWAAAAAIBKPJkrK17ED9aanDVamLFQb658Uz9t/qlFj11YWqi0/EqZtDtZOYQ9+3V32iu35uu3zXmV6truX6mu7a8t2j8ALctqW3+w5gNFRGXpyqmDdVK/ooqVCUMC2TW0MoK2AAAAAABUUpj+m7/95vpIrd6+2v96ULdBLXLMvJI83fzdzZry6hT984d/1rjN9Akp/vY7CyiRAHRE9sPQjbNv1HFvH6f//PofKcv3I5JLihsY4N6hNRG0BQAAAACgkpKtK/ztda6UqkHb2JYJ2kaFROnbtG9VWFao2amztaVgyy7bHD0mSSFBLqf93sI0ud07SyT0P6BiI4K2QLu2NGupvz28+zApa5X3RWwfKTQycB1DqyNoCwAAAABAJaHbvEHaXE+kEnv1dsoj+Azs1jKZbsFBwTp+8PFO2+1x693V7+6yTVx0mA4c4q1fm7p9h+at3+Zd0WO4FBXvbVtWnq/eLYB2Z1nWMn97WERPqSjH+yJhcOA6hYAgaAsAAAAAgE/pDkXvSHeaazxJGtgjxp9pGxseq/iIncHRFmBBW5fdAi3prVVvOcHb6qaPryiR8PaC1Iq6tic8JV3yg3TZPO9rAO2OTTC4NNubaesu7aI/PVJp4sN4gradDUFbAAAAAAB8stfKJW+m6hpPshK7ebSlcIu/NIKrBQOiKTEp2idpH6e9MW+j5m+Zv8s2h43sqYhQ7z/lP1m8WeW+EglDpkqJwwnYAu3YprxNTn1r4y5K0eCgSrWr45mErLMhaAsAAAAAgI9/0h9pkytZ+eWpLV4aobITh5zob7+58s1d1keHh+jgoT2cdm5RqVZtzW/xPgFoHb4sW1NelKK9umRXrKQ8QqdD0BYAAAAAgJ3KMyomISvoMkBrc9e2+CRklR3S9xCnDIP5bP1nyi3J3WWb8/YfoIfOmKCf/+8wDevVpcX7BKD1JyGzoO2ooA0VK8m07XQI2gIAAAAAsFNG1BC9UX6gfnYPVnnCMH89WzMwtuUzbcODw3XMwGOcdnF5sT5c8+Eu2+wzMF7HjUtWl4jQqis2L5a+uF2aeZS0+dcW7yuAlpuEzMojlA46XBpyuJQwTIrtHdC+ofWFBOCYAAAAAAC0SUu77KdrS73B0MtTBuvQfoOczNdV21dpSPfWyXQ7YfAJenHZi/4SCacPP71hb1z/rfTN3d722tlSrzEt2EsALTYJWVmMPGVd1WPqKVLktbaSetWdEEFbAAAAAAB2WpNR4G8PSIjW+MRhGp84vlX7MCxumEbFj9L24u06tO+hKnOXKSSoAf9877d/1QDufpe0aD8BNJ+C0gIN6z5cP6QucrJsB/WIUWzkzmx6AradEkFbAAAAAAB2OnGP3hqR1FVrMwu0V/+4gPXjkUMfUVxEnIJctVc1/HTJZn28ZLPStxfp5T/uKyWOlCK7Szu2SevmSG63FERVRKA9iAmL0SXD79GsL7+Vgoo1YUL3QHcJAUbQFgAAAAAAU1KouFBp/8EJziOQEiLrP/6jX67Swk05TntDVqH6xkd5s21/e18q2i5tXUKJBKAdWbBxu6XVKsgdpkO7bpLKR0nBhO46K35yAwAAAIAA+3Ftti5/+Rc9PGtloLvSuS1+Q/pnkvTAaGnZe0rNT9Xy7OXOhGBt0eGjevnbny7d7G30P6Big3XfBqBXAJqqrNyt+OgwDXdt0JFzfyfd1U/6+p5AdwsBQtAWAAAAAAIkv7hMM575Uac+OVfvLUzTfZ+t0Pz12YHuVueVtTNonrNRCo3Ua8tf08nvnay9X9xbP6T/ELBurctZp1eXv7rL8mmVgrafLKkpaDu7VfoHYPcnIbPHhQcP0ry/TdWLh5V5V5TkS+FdAt09BAg51gAAAAAQINFhwSoo3vmP850+XbpFE/sFrpZqZ1a0eYUidrZzIvtp9YZ3nLbb41bvLr0D0qe/zvmr3l39rtPeL2k/9enax79ucGKMBvWI1uqMAs1bv02Z+cVKSBwlRXTzlkewycioawu0eVsKt+jEd07UiPgROnrg0Tox46eKlf0rTTCIToW/3AAAAADQSjLyip1sKh+Xy6XrjxiulG6RCto5OfisZVsD18FOrnTrCue52BOqF5e7tWb7Gud1ZEikkqKTAtKnAbED/O23Vr1Va4kE+1h9vnSLN0BrdW2NTUiWsaz1OgugSZZkLVFeaZ5+3PyjNuVtlNZ/510REeudYBCdEkFbAAAAAGhhWfnF+sd7S7X/nV/o21VZVdbtPSBOX103WRP7eWcKX7U1X+uzCgLU006svExR+eud5lpPL/WOD9em/E3+wGmQKzD/fJ4+aLqCXcFO+53V76jcXd7IEglzWqmnAJpqWVbFjysjQmKlwp3/neg7SQryfv/R+RC0BQAAAIAWkldUqvs/W6GD7v5Sz3y7ViXlbt3zyW9Vsm1NaHCQDhne0//6c7JtW1/OBgV7yvxB27DILKcsghkUOyhg3eoR1UMHphzotLcWbtW3aVUnFxubEqteXb1FHewHAfvMadAh0p7nSSc/I40+KSD9BtBwS7OW+tsZ85dXrOg3KTAdQptA0BYAAAAAmllRabn+/c0aJ1j70KyVKijxZkeGhwRp30HxTvC2uqkjEv3tWcu2tGp/ISlzlb+5xpOkYle6//XAbgMVSCcOOdHffmtl1RIJQUEuHT7KG/C3z9XXKzKkxOHSMQ94A7bRCa3eXwANZz/i+YK2nrIoxW9cWLGSeradGhORAQAAAEAzKS1367V5m5xA7ebcIv/ykCCXTturj644dIh67syKrM4mleobF6UN2YX6cW22cotK1TUitBV737l5MldoZ1lhbYvsJ3f+Wv+6QGbamgN7H6iEyARl7sjUVxu/cp7tdeUSCc/P9ZZ2mLs6S8eMTQ5gbwE0RsaODGUVecshlBclax/XzqBtWIzUa1xgO4eAImgLAAAAAM0gp7BUxz/2rdZmVtSjdbmk6eOSdfVhQ9UvPrrO99ukZIeOSHSCb1bfNjOvmKBtKyreslK+cHppt8Fas70i221Qt8AGbUOCQnTcoOP0zOJnVOYp0/ur39c5o8+pUhfZfhCwbO0xKbEB7SuAppdGiCnupm7lO+vZ9tlHCiZs15lx9QEAAACgGcRGhapPXJQ/aGsBtGsPH6YRSV0bvI+LJw/SVYcOdfaF1lWyZbk/aBvec6hW57zptMOCwpQSk6JAO2HwCU7Q1ry56k3NGDXDCfT7aiJfc9jQXd+UnyGtnyMV5UoTZ7R2lwE0MmibUBSl4qgkhRemUxoBBG0BAAAAoCkWbdruZDX6Amfm+mnDVFJWruumDdPEfnGN3mdil5pLJ6DlfTHuPj27/nP1dW3V2J6JKtjsDb4PiB2g4DYwe3v/2P7aI3EP/bz1Z63NWauFGQs1PnF87W9wu6VHJkpFOVJUvLTH2d7UbwBtyrKsZf72yuJ95b72QalwkxQSGdB+IfAI2gIAAABAIyxOzdG9ny7XV8sz9MRZE3XE6F7+daNTYvXKH/cLaP/QNCtygrXAM9h5nJDYVbMOnKXtRdu1rXib2oqTh56siJAInTDkBI2MH1n3xkFBUt9J0oqPpMIsKeM3KXFEa3UVQAMtzlriPHvKIzQ0vp8iw0Ok8P6B7hbaAIK2AAAAANAAazLydf9nK/T+onT/svs+Xa7DRvZUcNBuZjDmbZbWzZF6DJN6jXEWud0ebc0rVq9Ysm9bQ3R4iAYmRDsTwdmz6RbRzXm0FccOOtZ51CZ1+w69vzBNnyzZrL8ePVIT+x/gDdoa+3wRtAXanCtG3K/r3vtQrqAdmjCse6C7gzaEoC0AAAAA1CE9Z4ce/HylXpu/SeVuj395cmyELjhwYNN3vH2jtOw9aek70sYfLM9KCo2S56Jv9ZevC/TZ0i2KjQzRrGsnN89AUKdLpwx2HqXlbgW30zICc1dn6Y6PfnPaFridOL5STcx1s6W9Lwhc5wDUKC0zRmW545z/BkzoS9AWFQjaAgAAAEANsgtK9NiXq/T89+tVUub2L4+LDnOCe2fu01cRocGNz6hd+Io3UJv2867rSwvlWviSVm09RJn5xc5jXWaB+u/M/EQLWf6xlLVKShii0H6TpPAuao8OHZ7oZH3bjwsWtP3ztAPlCu8qFedK676VPB7q2gJtzC8btjvPt4c8o2N+yJayDpAOuEaKanxddHQsQYHuAAAAAAC0NQs3btfke77Uf+as9Qdsu4SH6JrDhuqb66fo/AMGND5gayww+PlNuwZsE4ZJrp3/PFv0Px06vId/1efLtuzeYFC/X1+TPv2r9NKpUk6q/jrnr/rH3H/o1eWvqi0qLC3UFxu+cPqYU5zjX949Okx79/cGetZnFWpFxg7JgtDOmzKljOWB6jKAWtx2/Gg9fuYeOipmuSK2/iL98KQUyiRkIGgLAAAAALuwbNrhvbo67fCQIF140EAnWHvFoUMUY5PE1MWyGTf/Kn1xm7Tkrarr+u4nRe8MyFrt2il/ky79UbrsR2nQIVJ4rPN82OAY/1tmLdva/ANEVVkrvc+uIJV166MP136o11a8ppd/e1lt0WMLHtOVX17p9HFu2twq66aN6ulvW7at+lUrkQCgzfj3on9r0bZvNK7HFnUv2uRdmDKRoC0clEcAAAAAgGr6xEXp5T/uq5d+WK/DRvaqfzIwC9Sm/iwte0da+q60ba13+YCDpVEnVGwXFCyd8IQUN9D7qOzYB6WoBCk0QgM9HvWNi3ImxfppXbZydpQqNjK0BUYKu3alW1fKzm5GSC/NX7taZe4yZ9WgboPUFu2fsr+eW/qc056dOltHDDjCv+7wUb1083tL/UHbK046oOKN67+lri3QRmTtyNJDvzzktCfG9NOzvhW+7Hh0egRtAQAAAKAGVhv09/v1r30Dt9s7gdiyd70TiuVs3HWb9d9JRblShDdr1zF4as37i+3tb7pcLh06IlEzv12nMrdHX6/I0HHjkndrPKhF3maFlhc6zcVFPbQmZ41/1aDYthm0ndhzoiJDIrWjbIe+Tf1Wbo9bQTvLayR3i9SYlFj9mpqjJWm52hQxTr39dW3nUNcWaCOWZS/zt0eWVUxyWSU7Hp0a5REAAAAAYOfEY/nF3gzLelnw6/4R0swjpO8fqxqwteDZgIOko+6Vrl5cNWDbCFNHVNzmPou6ti1fGkHSGk+yipTqfz2wW7Vs6DYiLDhM+/Tax2lnFWVVCf5UL5Hw6bIs7+fRSnNMPEcqK271/gLY1dIsb0a8GZad7m24gqU+eweuU2hTyLQFAAAA0Ol5PB5d8+oCrcko0AOnjdPEfpVm7S4rkUoLpchuFcustEH+5orXQaHSwIOlkdOlYUdL0fG716Ed27R36Y/O5Gd5xWX6anmGysrdCgkm76bZ2eRwO20KSlHBjvVtPtPWHJBygL7a9JXTnrNpjkbFj/Kvmzaql+79dIW/RMJ5f3yB7FqgjVmSWRG0HZO98+9O8ngpvEvgOoU2hf/iAwAAAOj0Xvh+vRMYtRqyl774i4pLy6RVs6S3LpLuHSx9fXfVN3RNlvof6A3QnvCkdN0q6aw3pD3O3v2A7Uc3SvcOVeirZ+qYQcHOIqtpO2/9tt3bL2pUnlGRaVvcbYC/PEKwK1j9uvZTW3VA74patXNS51RZNzgxRgMSop32Lxu2O4F/AG3LoowlznOQO1j97L85hnq2qIRMWwAAAACd2qqt+br9w4rby+88YaTCP7lemvd0xUZWs3ba7VWzFWe81zLZi2FRUnmJ0zwj6ge9rPGKjw5TRh63tbeEovTf5A1vSq74wVqbM9Np9+3aV6HBbXfyt5SYFA2MHegEmRdlLlJOcY5iw2P9NZEvmzJY5R6PU2ajS0TbHQfQGW0v2q7MIu/dGr2Kw+T9ec6CtpUmDkSn1+hM29TUVJ111lmKj49XZGSkxowZo3nz5rVM7wAAAACgBZWUuXXV/35RUanbeX3+Pj01ecG1VQO2NolT332l4ryqb26p283Hnu5vjtr6kd64eJJ+/OtUHctEZC3Clb3aeS7whCu0R4RK3CVtvjRC5RIJxiYim5s2t8q6kyb21ql79lFcdFjFQpuELHOlVJjd2l0FUMnS7IrSCGOLd+xsubz/rQGakmm7bds27b///poyZYo++ugj9ejRQytXrlT37t0bsxsAAAAAaBMenLVCi1NznfYe8WX6a8b1Utr8ijq1R90jjf+dFBLeep3qMVRKmSilzlfw1l81MTxVCuLfXC3C49GmmNEqznWpUBEKj8ps85OQVQ/aPr/0eac9O3W2jhhwRO0b//ah9N6VUsFW6ZgHpD3Pa72OAqh1ErJZRdNVesq+Ct2+umrtdHR6jQra3nXXXerTp49mzvTeLmIGDBjQEv0CAAAAgBb107psPf6VN8tyYNBWvRz8LwWlravIrj3tv9LAyYHp3LgznKCtY9ErUq/bAtOPjs7l0jM9btQr6zY6Lx/rlaJu3S7R6pzVGt9jvNq6iT0nalyPcdqr116a0mdK3RvH9PQGbM26OQRtgQBasGWxv50cO16ho44JaH/QAYK27777rqZNm6ZTTjlFX3/9tVJSUnTJJZfoggsuqPU9xcXFzsMnN9f7K7bb7XYevno79rAZW+3hU99y3/ubujwoKGiXfTd2eVP7zpgYE2NiTIyJMTEmxsSYGBNjCtyY8ovLdPX/FsjtkYa6Nurt6DsVnrtzoq8uSXL/7lWp52j7h0tgxjTyeLk+/rNc7lJ5Fr0mzyE3SUHB2lFSrqjwkE5znVpjTGsyC/yvJ/UZoSMix/r73pBzEMgxhQWH6fkjvJm2xrap3Meycre+W52lT5ZuUXRoqP4aFiNXSb48676Vp7zcCVq3tTF1ps8eY+q8Y4pRP5UV9ldQWKb2ShlW5bjtdUy7s7yzjcldbV2zBG3XrFmjxx9/XNdcc43+8pe/6KefftIVV1yhsLAwzZgxo8b33HHHHbrlllt2WZ6RkaGioiKnbbVxY2NjnYDujh2+Wh5SdHS0unTp4pRlKCnx1hUyXbt2VVRUlLKzs1VWVjELppVpCA8Pd/Zd+YRZ/d3g4GBt3brzV8WdEhMTVV5erqysLP8yO4E9e/Z0jmfH9Z+okBAlJCQ4/fMFno2NPS4uTvn5+SooqPiPPWNiTIyJMTEmxsSYGBNjYkyMqe2O6Y4vNmnTNu/r+J59FRqUKGVvkzthmIJ+/6aySyNUVqmfgRhTXP/JClvzmVz5m/XpO//VU+mDtTg9X59fvo/69IrvFNepNcZ0+eSB+rlvlLbml6oob5uK89v/mHzXqbTcrcteWqT8knJ1iQjRjQP2UsjaL53PVObKH+VKGNLuxtSRPnuMqfOOKTL3IO1YP9RqtGjEqMgqx22vY+qI16mlxlT5uHVxeaqHm+tgA9hzzz313Xff+ZdZ0NaCt3PnVi16XlemrZVYsEHZQJxOEIlnTIyJMTEmxsSYGBNjYkyMiTG10pjs+bm563Xnx8sVFhykD6/YX71DcuT6/Canhq0rsnvbGNNv78n16tlOe1Hc4Tou7Ryn/eBp4zV9QkqHv06tMibb987PRIcZU7U+XvW/BXp3YbrT/mKfnzVw4b1O2330A9LEc9rlmJqynDExprY0prOf+VE/r0rV/4X8V9OOOkHdRkyRYnu36zHtzvLONiaLjVoQNycnxx8b3e2gbb9+/XTYYYfpP//5j3+ZZd7edtttSk1NbdA+rGMWoa6vYwAAAADQIuyfQMW5Wr49SBuzCzV1ZE+1SWXF0r1DpaLtKg+O0NiCR1WgSB03LlkPnTEh0L3rGJ49RspNleKHqOCkfyt9R4b6de2n0OBQtTcbcjc4k5EdM/AYxYbH+pd/+Gu6LnnxZ6d945g8XbTyQu+K0SdLJz8dqO4CndqjX65S7uJP9Oesv3gXWI1pmyAQnUJuA2OjjSqPsP/++2v58uVVlq1YscIJ5gIAAABAm1dWIr13hbRliYad+6GG9WqjAVsTEi6NPkna9KM05nTFfBaigiLpq+VbndveQ4ODAt3D9m/rMqkwUyop1PzMhbp01qUKcYXoyj2u1DmjvZnN7cGTC5/UIwsecdpxEXE6csCR/nUHD+2hsJAglZS59dzabrowNFqu0gJp/bfeHzBcrgD2HOh8cktydcnkQXK5s6TZOxf22z/AvUJb1Kj/yl999dX6/vvv9c9//lOrVq3SSy+9pKeeekqXXnppy/UQAAAAAJpBRmaG9NKp0sKXpc2LpNfO9Qat2rIj7pAumqPg/S/T3sO8yTK5RWWat66iPh+aaMc2b8BWUmn3QVqzfY3TLvOUKT4yXu3J2B5j/e05qXOqrIsOD9GBgxOcdnp+uXITJ3pX5KVL2d4xA2g9Z7x/hia/OllXbXzPKc/iIGiL3Q3a7rXXXnrrrbf08ssva/To0br11lv1r3/9S2eeeWZjdgMAAAAArWr1mpXKfPhQac2X3gXB4dIev2/7WYaWbbvT1BGJ/vasZVsC1KEOJGu1v/nq2gj9svk3/+uB3QaqPZnYc6IiQyL9QVu3p2otxWmjevnbPweNrlixzpfmB6A15JXkaUPeBmUXZWtrSa6c/wLFDZS6JgW6a2iDGn0/zTHHHKNff/1VRUVFWrZsmS644IKW6RkAAAAANIOS9CWKeeFIjXCtd14XhcRKM96VRk5XezJ5aKKCg7xB5lm/VZ05G02QudLfXKte2lq0wf96QNcBak/CgsO0T699nLYFg5ZlL6uy/tARidr50dHrmTvLG0bESsX5rd5XoDP7Lbvix6GRxcXeBlm2qAVFkAAAAAB0XOu+Vfl/pqmnO8N5me5KlOv8T6S++6pd8XgUm7NU/4z7yF5obWaBVmcQcNsdnkpB25zoflqb6y0VkBKToqjQKLU3B/Y+0N+es6lqiYT4mHDt2T/OaX+yLUnrT/lEun6tNOmyVu8n0Jkt3LrY3x5ZXOJtELRFLQjaAgAAAOiYlrwl9/PHK7I8z3m52DNAuWd+qPCkEWp33rlMevIgnZb/vMa6vMFFSiTsnpKtK/ztHXE9VWCTc1lphNj2VRrB54CUA/zt2am7lj3wlUgoU4g+zOghBQW3av8ASHM3LfK3R5TsDNr2J2iLmhG0BQAAANDxrJ0tvXaOgtzefxR/XT5WPxz0vIYNHqJ2qa/31ndzYrA3ILcuqzCAHWr/yjO8QdsST7Dc8SH+5YO6DVJ7lByT7A84/5r5q3KKc6qsnzaqp84/YIBevXA//fGg9hmYBtq7Fdu8pUtCPR4NLimVYvtK3foGultoowjaAgAAAOh4+k3Swi4HO81Xyw7Wkyn/1DlTxqjdsvq7IRFO84yoH/XjDQfqnye04/EEmtutsJx1TnODp6dCIrP8q9prpm3lbFubiOy7tO+qrOvdPUr/d8xI7T0gzl8b2eHxz18PoAVZNv/2sjSnPbSkRKHW6Dcp0N1CG0bQFgAAAECH896vW3Rqxrm6ofQC3Rp8ie4+bWLVQFU9PB6P1uSs0ertq1XqLlXA2aRRw492muEl25W4pWrNUjRSzkaFuL2TAK3xJKkkKL3dZ9pWL5EwJ7Wez8jcR6Xnp0uP7EXgFmgFy7Isy9b7XSsv7iPPgMnSoEMC3S20YRX3gAAAAABAe1WYLeWlSz1HKT1nh/761q8qVpj+Vz5F/zp5jJNl2FDvr3lfj/zyiFLzU53XIUEh6t+1v4Z0G6LB3QdrcLfBTjulS4qCXK2YBzP2dGnxG972wpel4Ue13rE7mpieujv5X8pcv0RbPd0kz4YOkWk7sedExUfEa0yPMdoveb+6N175mbTmK29721oprv2OG2gPfkj91d/Oj5om14zrA9oftH0EbQEAAAC0b9vWSy+eLO3YJp3/mUo9PTUgIVoLN+XomLFJmj4+uda3lpSXyCWXQoOdG1UdYUFh/oCtKXOXadX2Vc5D3jvqHV1Cu+ib079xgro+haWFigyJlMvV8KzeBrOMrOgeUkGGtOJjJ1DtiezurGqR43VkoRH6LH+gVpYnKiwkSEun/UU5Jdu0Pne9YsJi1F6FBYdp1imzFFzHJGObc4r06dLNiszqp1N8C9d9S9AWaGE/pS32t8f3HB3QvqB9IGgLAAAAoP1KXyi9eIqUv8X7+u1L1PfcD/X6xZP079lrdObe/XYJaFpgdXbqbM3aMEuzN83WzZNu1rT+06rcYh4dGq2xCWPVLbybVuWs0tqctU7wtrLEqMQqAVvz9+/+ru9Sv/Nn5Pof3QcrLiJu98YaHCKNOVX6/lGpvETvv/yY7sycpLtPHqtJgxJ2b9+djJW/KPd4ZB+N/vFRCgkOUnxkvPNo7+oK2Jpnvl2rp75Zo4mufjolfOfCdXOkPX7fKv0DOqtBrnP0zZqRCopI1eQ9qUmO+hG0BQAAANA+rfpcenWGVJLvfR0/RDrhcUs7VWiwS5dMHuzfdFvRNn218St9seELZ4KmEneJf50FbysHbaNCo/TVqV8pYufEX8bq2m7I3aCV21dq1TZv1m1yzK4ZvFYDN680T79s/cV5VGZBW1+JhcP6Hebcyt5o4073Bm0lJa1/W5tKJmjWsq0EbRvJAvlfXDtZRaXlyi6o+Cx0BtNG9XSCtos8g1TsCle4p9gbtLW6tmRsAy1m0aY8jSjZIXdJgvbsy99s1I+gLQAAAID255cXpfeukHZmv7p7762SU15SRGwP/yZbCrbo8w2fO4Ha+Vvmq9xTvstuuoR1UWxY7C7LKwdsTWhQqDNBlTNJVf/aszf7dOnjzBCeXlAxsZVPdlG2ftj8g/Ow7SoHbXNLcvWfX/+jQ/ocovGJ42sfd68xUuIoaesSTQxaqf6udM1aFqW/HT2CEgmN8fN/pa7JiugxTMndeqsjKi0v1c9bf9bI+JHO59xnQp/uSogJV2a+NL98iCYFLZZyN0nb10vda/lwA9gtbrdHG7ILdVvIGzos+Gfp0Tuli7+TYjvm3x80D4K2AAAAANoPywb85h7py9srlg0/RvdEX6vPnl6qf502XqNTvEHY11e+ricWPrHLLhIiE3Ro30N1SN9DtFevvZyAbHOwoOlDhzzktPNK8pysW18tXMvOtSxdC9way7itbOW2lZq5eKb+u/S/evO4NzUgdkBtB5EmzpA2fK870sZrU3oPlWUVanVGgQYntt9arK2qpFB69zJvO2VPvXjAeU4t20Gxg3T0wKPbdU1bn7dWvqU7f7xThWWFuuege3TEgCP864KCXDpsZE+9/OMGfVc+whu0NZZtS9AWaBH2vZt7/WR57jlPKrYFIVLXlEB3C20cQVsAAAAA7UN5mfTBNdLPz/kXefb6o15JOk5Pf/msSrdP1GlP7tB3Nx6q2KhQJzDrC9paZuvUvlOdQO3YHmMV5Apq0a5aZqNlzFbPms3akeUEc0cljKqy3Eo2GKub+/JvL+sv+/yl9p3vc6HzSPhmjcrSlzmLZi3bQtC2obLXVLQThujz9Z9r3pZ5zsvKwc32LCkmyQnYGqvfXH1cViLBgrbfu0dULLSg7YSzWrurQKfw4rIXlZu1UiOCSjTJJg3sN4lyJKgXQVsAAAAA7cPar5yArRU5+DkiXF8MP1SfFS7Qll8/VriVB3SH6+p9D3QCtmZY92H6055/0n7J+zmZrW2hfEBtk10dN+g4PbXoKaf9zqp3dMWEK+rN+Dx0RKJu/9AXtN2qCw8e1EK97mCyVvqb323vptXF3oB5j8geig3ftVRGe7RH4h6KDInUjrIdmpM6R26Pu8oPFVYDuUt4iBYVD1KRQhWhUmndtwHtM9CRvbHyDeeOipCeCfp+/Uap3/6B7hLagZb9eRkAAAAAmsm8mG66acwUHdI3Recl9dQLOYu1pXCzf323hOU6b/+KsgIWpJ0xaoaGdh/aJgK2denXtZ9OGXqK07YMyXdXv1vvewb2iNHAhGinPW99trYXdq4JtZosc5W/+dLGIG0r3ua0B3YbqI4iLDhM+yTt47StJMey7GVV14cEacrwRJUoVPPLh3oX5myQtm8MRHeBDq2orEhrtnsz/AeVlCrcY3/0CdqifgRtAQAAALR5P23+Sed+cq7ezF+t7OBg/3KPJ1hl+UOlzJP17FGPOXUD26vTh5/ub1uJBMuOrFPpDl2euFCPhz6gUE+Jvlqe0fKd7ADKMysybXPjKibospq2HcmBKQf623M2zdll/eGjejrPz5QfoTf6/Z901WKpW59W7SPQGcxPX+KfCHNESYlkGf09q5bIAWpC0BYAAABAm/fFhi/8bbvt+4CkQ6Stv1P+iv/Tjo3n6Y7DLtDInu17Fm7LCLaJ0cy63HX6Pv37ut/w8Y06Yc3fdWTwT5oa9LM+X7aldTrazpVsWe48uz0uFcdWBPkHdetYQdsDUg7wt61EQnWThyU6Gbez3BN17+YJ8jCLPdAiZq352d8eWVwi9dtPCqr48RGoDUFbAAAAAG3egq0L/O0Pjv9Q2WtPV17WWMkdoRMmpOiYscnqCM4Yfoa//fKyl+veePRJ/uaJwbP1y4btcrvtvlvUyuNRyLbVTjNN8VKktzSCGRjbccojmOSYZP+YFmUuUk5xTpX1MeEhuuiggbp1+ii9dcn+bb6ECNBeLdy62N8eaZm2lEZAAzERGQAAAIC27aendf+OUP3S5zitj+2hN+fl6Ie12c6qlG6RumV6x7nNdEqfKeoZ1VNbCrfo601fa1PeJvXuUksGZL8DpK69pdxNOiRkkQ68aGS7Lg/RKgoyFVr6/+ydBXhT1xvG3yZt6m5QKNSAFivu7s5w2cbQDRuMucufORuDCcyAYRsOG+7uXqBQoAql1N2b5P985zZJCy0UaJu0/X597pNzJcm5afQ973m/VNEMUVVHltG9Suu01bhtQ5JDRNTGyXsn0cezT6H9r/eqp7e+MUxV4U76LcAIkKnVqJuTy6ItU2LYacswDMMwDMMwjGET+C+qX/sX/Y78jGkeA8UmY5kRyBg4f6Q/bMxMUFkwlhljVL1Roq2G+tEFyWQyoPFI0TRSK6G4vqm8ullxidfl2YaoqyMhRyq85WDmAHsze1Q2CkYkHI08WvyB2anAjR3ArveBm7vLp3MMU0WKkGUiUrRr56pgZmIJVPfXd7eYCgI7bRmGYRiGYRiGMVxyM4GI/GxX21qAgxde6WyEtt6OOBeWiNZejqhsDK0zVBReG1lvJLq4d3n0wf6jgWPzpXbAGqDt9HLpY4UlLxvhxh6olhuJG0ZOSMq5USmjETQ0d20uMqCdzJ1Qw6pG8QdGXQbW5EdzZCUDdXuXWx8ZpjJzODQAMJKKSqaadITRjI8BOUtxTMngZwrDMAzDMAzDMIZLxElAmS21vbtA2GsBNK5pJ5bKiKO5I37v9XvJDnauB7g1A+5dkIS36EDAtX5Zd7Hi4t0VQ9XfITE7C6422Xi5cX2EJIWgnkPljAlQyBXYMXSHEG2LQ6lS43yuF5oZKWCszgHCHuHIZRjmiTgUpstjr2vvB9g+YvCEYR6ARVuGYRiGYRiGYQwW5e0DWGBvh8bZ2Wjq3hzFS09VGHLbkmgLYOfqBbjf+j1MaO+p714ZJMkZuYhPzxFJgbUca+DVpsNR2XmUYEvcS8rEyCUX8Y+JD9rKA4GkcCDpDmDnXm59ZJjKSnKyA3IS20BuFon2jZrpuztMBYMzbRmGYRiGYRiGMVhuhe3HX3Y2eN3VGTOCjyIqORNVEaVKWfzOhsOglkl+nKbJe7Ar4G75dayiYQS829cXo1u6o7ufi757YxC4O1jAr7oNTqt9dRvDj+uzSwxTabgTVQ243w+Z4TPwXP22+u4OU8Fg0ZZhGIZhGIZhGMMkPR4X0iK0qxeCXdD520PIyMlDVUClVuF45HHM2D8D7x19r/gDLZ1gVKeXaFYzSkTenXNIFG5S5kFszU0wtbM3vh7WGC938kZVIy4zDhm5GQ9t71XfFadUBWI1OCKBYZ6ZrFwlkqJCEGA6Gf9ZfA6b62v13SWmgsGiLcMwDMMwDMMwhknoIVw0M9WuKjM90NrLARaKqpHylqfKw/vH3seRu0ewJ3wPotOjiz+45WQcc5uILtnf47yqLg4GxZRnVysGCSHAL62BNc8DAetxJ+WOeIyrAkfvHsXIrSPRdV1XHL57+KH9vRtUw0WVD7LVJtKGsGPl30mGqYQsaJsOU6M8NFJS9MgdfXeHqWCwaMswDMMwDMMwjEGiDj6IC/mirUxlDFVWdfTwc0VVgYpIDa8rZa4q1Uqsv7m++IN9ukPR8yOEqauL1f3XWbR9iNibQOwN4MY2pEVfQb/N/dBqdSt8cOwDVHZM5Ca4nnBdtI9FPizI+lW3houDLS6p893HiWFAMsdsMMyzkJwTB0+lrhAZPNrrsztMBYRFW4ZhGIZhGIZhDA+1GlFhhxFjLLlq8zJqAZBXuRzSEXVHQG4kF20SbXOUxcceNKtlBzsLySl5+GYscvJU5dbPCkH8bW0zxNJWXOaqcmEiy3eXVmKauTSDubG5VrSl6I2CGBkZoVf9ag9EJHCuLcM8C78F/IbOySfQw90Nt03NgRot9N0lpoLBoi3DMAzDMAzDMAbJhQ5Tte3cTE/4VrNGTXsLVCWqWVZD91rdRTshK0HEJBSHsVyGLnWdRTstOxdnQhPKrZ8VAXXcLW3768uR2ra3nXeVcG23rt5a+zzSuG4fjEg4pfLTbeBcW4Z5Jq7HBojLaGNjVHNpBCiq1ucX8+ywaMswDMMwDMMwjOFhZIRLuYnaVWWGR5WKRijIGN8x2vY/N/555LEDauVitnwjDijewJnLV8qhdxWH3Jib2naCmVLb9rat/KIt0bFGx0IZtw/SvLY9ws3q47yqDpaoBiKnwYhy7iHDVB7i0tIRlCi5+z1ycmFVu4O+u8RUQFi0ZRiGYRiGYRjGILkQc0FcqtUyKLNqoUf9qinaNndtjrr2dUU7IDYA1+KuFXtsh4x9mGOyEV6y+zAP2gi1Wl2OPa0Y8QixahsoTXUDAl52XqgKdKihE42KyrWVy4zQqUEtDMv5DHNzxuBQdr1y7iHDVB7+u34RuZAGh/xycjjPlnkqWLRlGIZhGIZhGMbgSMlJwe18lxIVIHO2tEHjGlIOaVWD8kYLum3/vvF3sceaNdMd1z37AEJj08q8fxWCrBQoMqXibKHq6sjEPdG2NLGEq0XVGAxws3KDl60kUF+Ju4Lk7OSHjhnUxA3Pt66FFRNboUu9qpUfzTClyck7UjQC4ZeTB7hL8SQM8ySwaMswDMMwDMMwjGERcwN5J35CX/tuUGbUhjLDG919XSCTGaGq0t+rP6wV1qK9K3SXyCUtEgdPJDg2F826skh45emKb1VpChQhu6F2RXJutDYagUTxqoLGbUuFyE7cO/HQ/nbeTvhiSCN0qusMhTHLBQzztIQkXNK261nWBEyl92+GeRL4XZhhGIZhGIZhGMPixjY4HPoW31xYhj8cuqKV7ThRJKkqY25sjqE+Q0W7gVMDJGQWX2TMod043crlNeXRPcMnPljbDDCxrXLRCBo61uz4yIgELRSrkRgGXN1YPh1jmEpEnlKFDKUuQ7uhO+fZMk+H8VNej2EYhmEYhmEYpmwIOaRttu85FO0dPPXaHUPhxfovop9XP9R3rP/oA+s/B+x4G1BmA1c2AL0+B+QmqNLE39I2Q81Mq1wRMg3NXJqJAYBcZS6y6flRHOvGAdf/k9q12gI2buXWR4ap6FyPSkKqIhnk4bdVWcOmaYGBNIZ5Ali0ZRiGYRiGYRjGcMhJB+6cltr2HmK6PyPhaukqlsdibgf49gOubQYy4oDb+4F6fVCVyfMdhP/tj4UH7iHZ2rTKOm0VcgV+7/k7fOx8YKWwKva4DFsfWOS31WHHYNR4ZLn1kWEqOvuDr8JIlifaLtaNgWoN9d0lpoLC8QgMwzAMwzAMwxgO4ScRr85DhLEx1J6d9d2bCouq0Wht+/ru31HVuWPiiRV5PfC/vHGoYz0R+4bvE+Klv7M/qhpNXJo8UrAlfgrRDQ4kBB4sh14xTOXhwr3bUKvlot3UlQVb5ulh0ZZhGIZhGIZhGMMh5CC2WVmiv7sbOiWfwdG7x/XdI4NErVbjTNQZ3Em5U+R+lVdXxEPKbvWKP4KctETok9SsXGy+eBcR8Rl6uf87Cbr79XK2Eo7ltm5tYWuqy7dldHg06YqcfNHJKOwR2bcMwzxEVJQ30oI+Q1bYqxjXWMoiZ5ingUVbhmEYhmEYhmEMh5BDuJCfOZqkSseCXff13SOD42biTQz9bygm7ZmEv679VeQxxgpTXHXoJdq5kCPokv7E71vRqRj40zHMWXsZvRccwdmw4ouolRWd6jrj6me9se3VDhjdsla537+holKrkKvKfWh710a1cVkt5f06ZEUAqfw6ZJiSkJyZiw7x6zFXvgJTrOJQ25wHhpinh0VbhmEYhmEYhmEMg7QYqKOv4mK+aKtWmqNjbZ5a+iBulm64l3ZPtLeGbEVKTkqRx6maj8esnBlokb0YGxP0kw18KCgGQxadQFi+wzYzV4kJy87i0p2k8utEciQQehRWOXFo6GYDdwdNWmvVJTA+EO8dfQ9d13XFvvB9D+13sTZDhHVT7Xr0lf3l3EOGqZgkpudgjMUZvGi8D2+nfgPk6Gd2AVM5YNGWYRiGYRiGYRjDIOQwwkyMkSiXpmUrM2qjR/1q+u6VwUF5pAO9B4p2Zl4m/r39b5HHNW/eGjvQAVkwxf4b0SJSobxxsjJFnkol2mYm0s/PtOw8jFtyGtfuJZdPJ27uBJYPAL6vh7NHv8C3Z7/FxpsbcT+96rpHk7OTsS1kGxKyEnAssuj4A7M6ukzpOBZtGaZEeFirUTfvtmgrHesCVs767hJTgWHRlmEYhmEYhmEYwyDkEC6ZSi5bwkLtgwZuNnrtkqEy1nestr3mxhoxzf1BbMxM0NrLQbTvJGTiVkwaypuGNWzx7XB/DGhcHSfe7Y42+f1JycrDi0vOiOiEMidOElCIU8oUrAxciU9PfoobCTdQVWnu2hzmxuaiTaJtUc+fRm16ITc/19Y25nS595FhKiIHLy/B6872+NPWBvfcm+m7O0wFh0VbhmEYhmEYhmEMg3p9ccyxjna1VfVmMDIy0muXDBUvOy+0rt5atCNSI3A8sujM2u6+rtr24SvBVMGsTPt1LykTecrCAuAgfzf8NKYpHCwVWPJSSzSrZSe2J6Tn4Pk/TyMsLr1M+6SMvaltn0+J17a9baXM1qqIQq5A62rS84fcttcTrj90TK1qzrhlLL0eayrvIjYqotz7yTAVjTN3DmOvpQUWOtjhjrOXvrvDVHBYtGUYhmEYhmEYxjDwG4BjcoVoqlVyDGnQVt89qjBu239u/FPkMd39XOBvdBsLTX7GuGO9gDtl55g8cTsO/X88ii93POxg1YjvlqbG+GtiKzSqIRXnycpVisI9ZYky7pa4TFOb4UbyHdE2lZvCzcoNVZmONTtq28fuFh2RkFqtDdLVpjik9MeJayGozGTk5GHJsVDcuF90RjTDPA6lSo1rqeHadb+6g/TaH6biw6ItwzAMwzAMwzAGQUx6HDLU+Tmj2TXRyae6vrtk0HSu2VkUJdNMcY9IedgJWdvREm1tEzFYfgKmyEbWuVWl3g/Kyl12PBQvLj2DxIxcLD0eim0BUqG0oqDYhhUTW6GdtyP+ntIG/u6S87ZMyMuGScpd0byproYMdbRoe9p6Qi6Tpv5XVTrU6KBtF5dra93jLfhn/4Hxue9gQ7gUp1CZCI5NEwMHAXeT0OGbg5i7LRA/H9DFaTDMk7Dtwm3cUGeJdjUlYO/sp+8uMRUcFm0ZhmEYhmEYhjEItlzXTfGvYV4fZiZVW1R7HCQ6jvIdJdpqqLEmaE2Rxxk3HCjckoQscAuQK4kKpUF2nhJvbwjAZ1sDhcuM6FrPGR3rPLr4jr2lQgi2lHlbpiSEwAhSXMNZE2eo89tetjxtmZzGmschIC5AFCd7ED+PGujVqCY+6OeHz59riMoExXhMWXEOnb49iJPButiM7VeiEBJb/vnPTMXn9o3tyJRJMpu33F7f3WEqASzaMgzDMAzDMAyjX5R5QNBOXAi7BbVSEhc7uLfUd68qBEN9hoqp/sSWW1uQmZf50DE9/b1xw76raCvyUoGbu0rlvqNTsjDqt1NYf15yshLTu3jjz5dawtbc5Kkcu78fCUZSRg5KjXida/KasZW27W1XdfNsi3LbUiGyE/dOFBlrsej55pjSyUu4tisT/12+h5DYdMSkZmP/9RhM7ugptlPs86+Hg/XdPaYCEp+gc6w3cq5cgxyMfmDRlmEYhmEYhmEY/XLvAvDPaCy69hV+yG4P85i38VLT7vruVYXAzswOg70Ho79Xf/za81eYGz88hZ3iB5oPmqbbcLloR+6TcDEiEQN/OoZLd5LEupmJDD+OaYq3+/hCLntE8bjMxCKLoalUary/+arIwx239AxSskop5zY/z5YIVRhr21W5CNmTRiQUGlzJetiNWxHJVaqwcL/uuTGnZ1282KY2rM2k58imC5GITHp4AIRhioNiNjLVutznxl78GcY8OyzaMgzDMAzDMAyjX0IOiQuZOg89WzfH6TdfQC17B333qsLwYZsP8XXHr9HYuXHxB3l0BGxqSO3be4G02Ke+v/Xn7giHLTkUiRp25tgwtR0G+Rco7JWZ9PB9kFi7YjCwrB8QerTQLrqtfdelvNmAu8mYsOws0rPzUJpO2yQLKRqB8LLjeASiuWtzrdB/I+HhAnKCpAhg9UjgW09g36dCnKrobL4QifD4DNGmbOW23o6wNjPB+HYeYlueSo0/jlTuwmtM6RIYlYITCt3nVv3aXfTaH6ZywKItwzAMwzAMwzD6Jfigru3VRUzJZkpOiR4vKrrVeKTUVuUBVzc+dQ7o6tMRyFFKAmgrTwf8O7M9GrrZALFBwPEfgWX9gW+9gBM/Fr5y0A4g6jIQcQJYPgD4awAQLk3Jr2ZrhtWTW8PeQopVOB+eKPJGn1UgzMlKR65aykbONpNySo1lxnC3dn+m260sKOQK/K/d/7BmwBqsH7i+6IPMHYDgA0B2CtIvbsDoXw5o84srIjl5hV22r/esq21PaO8J8/ws7TVnIxCXJg1MMMzjuBCegHRTaeaBtbETHM0d9d0lphLAoi3DMAzDMAzDMPojOw24e0ZqO3gDdrX03aNKS3KdYdq2+vI/T3UbxnIZfnuxOVysTTG+VXX83TUdTkc/Bn5sAvzSCtj7ERB+DFArgVt7HriyKeBYR7cedhRY1ldy30acRl1Xa6yc1Bo2+VPUTwTHY+qq86LY2dNytd0C+GUvQ6fsH+Bu1gZdanZB2+pthXDLSPTx7IMGjg0gMypGHjC1AhpKzx1LZQoaxm7HunN3UFGhvmuiDzrVdUYLD5070sFSgbGtpfegrFwVlh4L1Vs/mYrFyTs3YSSXRP66dr767g5TSWDRlmEYhmEYhmEY/RF+XDg/33R2xBRHayy+vBg5ylIsRFWFyMrLwuZbmzF622hEpUU9tH/mvgwEqKRiS0ZRl4CYYqbDF5E3WxDXpMs46rEEn14fAOO/hwGnfwUSwwpfydEH8O4OKAtk0/r0AGacBob8Djh4FY7HWNoLWDkUDdW3sHxiK1gqJLfjoaBYzPrnosggfRpCY9ORB2NEqF3Rz30Cfur+Exb1WPRUt1WlaTtD25wo34n5u68jtbRyh8sRcm7/cvB2kS5bDVM6ekEhl6SSlSfDkZxZ8c6TKX+u381F1v3BUKW0RD9672OYUoBFW4ZhGIZhGIZh9EfIIZCP8riFOU7lJeCvK3/DRCZNkWeejBWBK/DxiY9xLf4a1t1c99D+br4u2KTsKNoJFp5A+uNzbXcGRGLoz4cLC1dZSTC9tQPITddtI+eqZyeg95fAzPPAq+eBPl8CcpOHYxr8RwEzzgLPLQbspQxRQfB+4M/uaBr6J5aObymKmxG7r0XjjXWXn2pKvpudOYY2q4Em7nao52r9xNdn8qneWPr/UoKJ7D78M09j8aFgVDTWnIlAVHKWaPfwcxHPiwehqI5hzWuKdq5KpS22xzDFEZucji7Jh1A7yR0NjCdjpO9wfXeJqSTwnBCGYRiGYRiGYfRHyCHcNjFBmkwS6OrZNeZM26dkiM8QLL60GHnqPGy8uRFT/afCVG6q3d/DzxUDtnbAOVVdmDg3xWbPDkXfUHYaVMEHce3QOjSLPgKv3NF4bY0F/nypJeQyI6mombEZoLAC6vQC6vYGvLsCZrYl76zcGGgyFmg0AqCohsPzgOQIaV/dXmhd3RF/jmuJicvPigzS/y7fg7uDOd7q/WTTjqnAFC3Mo7mffh/bQrbhWOQxjPUdi14evR4+qO1MIPSIaE423oFxx1piTKtacHewQEWAHONLj+sc4a/1yHfZKvOA/14Foq9ILnDX+pja2Qt2FiaY1METTla61xDDFEXIlZP40mSJaF9WDqTydvruElNJYNGWYRiGYRiGYRj9kHofiAnERWsr7aautVvptUsVGWcLZ/T06ImdoTuRmJ2IXaG7MNhnsHY/iWuurtVwNdoKRneTRZElrSBF8QY3d4tFHXYUMmUOGtF2I6Cb/CL2W4xBnkoFOTllFRbAK0cBR2/JOfsskBO32Tig8Wjg0mog+hpQ3V/s6lDHCYufb4bfV62Gla0DXmzzhFOOz/whxW84+iCx0XDYOtUtPre1ihOWEoaFFxaKdg2rGkWLtj49pUzi+FtoI7uOurm38c0uV/w8thkqAjKZETZMbYtFh4KRkJ6DhjXyBxlu7gQu/y21t78BTNyJ2o6WeKcP55IyJaMFArVtp7r8GcaUHizaMgzDMAzDMAyjH0IOi4sLZjonW8vqzfXYoYoPuSRJtCX+vvE3BnkPKuRc7u7nipvRaVCrgbPnTqNv7j5JrI3V5dsW9DlnqhWo5+aI/iP9CzugnR/OAn0mjBVAiwkPbe5ezwltHFfBMiUY2HMI6Pwu4FJCMS30MHB9q2i+nHwGYelRqGNfB6v6rWLx9gGauTSDubE5MvMyhdtWpVY9/BiRG77tdGDbHLE6yXgn5gR4YUL7BDSvrSvmZci42Jjh00ENoKYXgIZ6/XXtiBNAxCmgVhu99I+pmKRGHEWQmSn8cnJQo0lPfXeHqUTwJxXDMAzDMAzDMPpBboL7FnVxKV+0NTEyRT2HevruVYXG39kffg5+oh0YH4iAuIBC+ynHU8PWCFNApSwk2BJ31U5YmdcD0/Euzo+6gDrT/tFfZEXgFkmwJa5tBha1ATZMQl7044uoqeJuiUulXIHQ9HvIUmYhNSeVBdsiUMgVaF29tWgnZCXgevz1og8kR7S5JNAOkJ1CNcTjf9uuP1SsztAp9HwmMZrylTUc++Gh46noWuC9lHLqHVOhUKlwOuYCJld3Rfva7lgec1rfPWIqEfxpxTAMwzAMwzCMfmg4FKOM30OUsTQBsJFzYy5CVgpi1BjfMdr1f278U2h/E3d7OFgq0MzoJmYEvwKc/BlqIxmibJtgXt4o9M7+Gh2yF2KFwyy8PXMWOtR3h16p108qbmbpnL9BDVzdANnitghaPAaIL6YYFonR8SGieVrmimxltmh723mXV88rHB1rSEXqiKORR4s+iKIxWk6C2sEbi82nIAlWuHwnCQeDYmCoZOTkCdH1kVC2so1UfAw3d0kxHfk5uPP3BKH91wcwbfV55ClV5dBjpkIRE4jrRrrnVy2b2nrtDlO5YNGWYRiGYRiGYRi9EBKbhsgsnaOvZbWKkY1p6PT17As7UzvR3h22G3GZcdp9VEisaz0XXFV7YnVeN1xv+z0ODzqBttFv45e8wQhS10Kv+tWweUZ7eDhZQu+YmANtZwCzLwM950JtIRUVk0GFetE7oPq5JbBlOpAQWvh6SRGQqXJE85TMXrvZy9arfPtfgehQQ1eYjiISiqXjGzCaeQ5Nhr4Je1tbLBjVRDynDJU/j4ai47cHsfhQMNKz83Q7MpMKZyu3e1W3fmyBNgf34p0kpGTlITw+A9uvRJVn15kKwO2zuxFoqtCu13esr9f+MJULFm0ZhmEYhmEYhtEL+6/HQG4eXihXk3l2zIzNMLTOUNHOU+Vhw80ND0Uk5MAEfyu745+sNujcxBcDGlcX+2Z3r4NfX2gOK1MDK3+isATaz4LR7ACc8nwViWqpeJ1MrZQKmB34vPDxBRy41xXm2jY7bYvHzcpNK2pfibuC5Ozk4oV0mQyd6jrj0Ftd8FzTGkLcNESSM3Pxx9EQJGXk4rs9QYhNlRzXItR5+UBgWT8g+KC0TgXx8gcFcHWjVJwPwPQuPtrbW3QwuMJFQTBlS/qtwwhUSKKtrbENXCwMdwCDqXiwaMswDMMwDMMwTPmTFou916Mht5CEERlkaOzcWN+9qjSMqjdKZLfKjeRIzEostK9jXWe08nDAW73rYVxbDxGpMG+4P5ZPbIU5PesarAAnMLVCm5c+x+o2WzEvdySS1RZQqY2w13lc4ePipTxbIsJEdz4s2pYsIoEKkZ24d+Kxx5say2HILDkagtQsyV07rFkNnXv81l7gfgAQfhzY96ku+qH1VKlNgwHHfxTNNl4OaFZLcq4HRadi/w3DjYJgyhm1GoqMACTLpddBA+dG+sv/ZiolLNoyDMMwDMMwDFO+KHOBH5viz8TJeD2tGqxTX8TUJlNhpZDck0zpuCa/6PAFdg/bjfdav1doH7lo101tixldfeDjIj3m5go5OtfV5MYaPjP6NEVu+9fRMXshpufOxiu70rA9oMDU9QNfaJuJplJMghGM4GHjoY/uVhg61CxhRIKG6EDg3xnAjR1iNTQuHYZCYnoOlh6XBoWMZUZ4tVsdaQe5ao98qzuw01sUBi21W04GNO9DF1cBaTFChJvZTee2/fngbajpNpgqT3rUdUQqsrTrDZ0b6LU/TOXDwOa8MAzDMAzDMAxT6Yk8D+SkwgapmFynLV4c/IbBO/YqIgO8BqCyQkLae319kZWrxIqTknty9pqLMDWWoUc9B/H8IqhsVLZpimjXtK4poiOY4qGIEnNjc2TmZQqnLYmTxToH754H/uwmmln3g/DaWVfsDryPrTM7oGENW+ib34+GIC0/w3ZkS3e4O1hIO0IPA3fPSm2X+kj26AAzZTZM5aaAhQPQfDxw+jepOJlKuj5l9vpVt8H1qBRReO1EcDza+zjp7dwYw+DWvURsM6HCYxlinfNsmdKGnbYMwzAMwzAMw5QvlCGpwasLC7bMU0Fi4qcDG2Bki5piPU+lxvTVF3Dx7FGojCWB7rjMHSojyWnrbcvRCI9DIVdgRpMZwqW9fuD6R0/1rtEMcPYVTbOos7gfeEyYWOduC9S7EzUuLRt/5btsFXIZZnbVOWVxeJ6u3elNLAlcis5rO+Pdo+8iMi0S6DAHmH0JeO4XwMZNHEaPw4yuuufPzwdul+PZMIbK8VRX7FZI7z9EfQcWbZnShUVbhmEYhmEYhmHKl5BDurZXF332pMqQo8zB5djLqGxQ/u5XQxtjkL8kruUoVfjphjWO9DuAmTmvYpbRKO2xXnZSkS3m0bzU4CUM8h4EJ/PHOElJ0G07Q7s6y2KPuDwdmoDd16KhT349FIzMXKVoj2nlDje7/GJ04SeA8PzYB8c6UPsNxp6wPUjPTceu0F3CZQxLJ8BWJ8Rp6NuwOjzzM3FPhsTjfHjhrGim6nExIhEys0jRtjGxQzXLavruElPJYNGWYRiGYRiGYZjyIysF6rtnkQvgBzdPHEy+9VChLKZ0WXp1KXpu6InJuycjOTsZlQ25zAjfj/RH7wauIpd30fPNcCvNFNtUbZGY3gSv+/6FRd0XYaDXQH13tfLRaCRgKWUhd1GdRA3EivZXO68jO08STcubmJQsrDwVLtoUlzG9oMv2SAGXbcc3EJgYJLlrKc62Wks4mDkgLSdNFGIr6nk2rbPObbvkWEiZngdj2JCb/OLd+1DnWQFqIzR0rs9FyJhSh0VbhmEYhmEYhmHKj/DjMFIrcd1UgaWmSsw6OAvfnP1G372q1MRmxCIhKwFZyixsvrUZlRETuQw/jWmG38c1h5mJHCHaglgyNHXzRseaHeFjX0C8Y0oHEzOg5RTRlKmVeM/xsGiHx2dgxQlJOC1vfj8Sguw8SXR9oU1tuNqY6TJ4gw9IbbvaQKPh2B2+W3s9Pwc/zD05F93WdxN5voLcTODMH8DVjWL1uaY1UL+6DV7rUQdfDmlU3qfGGBBRUXeRmqpERugcNFb+jM/afabvLjGVEBZtGYZhGIZhGIYpN9T5oslFU1PttqbOTfXYo8rPqHq6iIA1QWugVOnHAamJaTgReaJIJ+OzojCWafOR3+3ri03T2+H7Ef6o42JV6vdV2cnIzcChO4fw+anPceTukUcf3HISQEW8KEIgZw+sjaSiTD8euIX4tGyUNzO6+mBaF284WSnEZdEu29ehlhmLaARCbiRHbZvaWHdznSjCtubGGiAjAVjQCNjxJrDvM0CZJ55j22d1wGs96sLOQlHu58YYDspdHyLAdDL+NvkcnV3A0QhMmcCiLcMwDMMwDMMw5UbOLakI2QUzM51o68qibVniYeuB9m7tRZumgh+NPFqm90ei8JmoM/j6zNfIVVIQho494Xvwyr5XMGDzACy7uqzMojFszU3QrJY9hjWvCUtT4zK5j8oM5R+/euBVrA1ai91hOjdqkVAGrP9o0ZTnpuHL2pdEOzUrDwv23UJ5Y2+pwDt9fHH83W5wstINDqHdTClD26YG4D8GgfGB2miEVtVaYbDPYK3wRkL1XWUGUC3fTZsUDgRuEU2eAs8QLonnYWaUi+by26jn7anv7jCVFBZtGYZhGIZhGIYpH5IjYZp4C1RX/qyZVBjI2sQaPnY8bb2sGes3Vtv+58Y/ZSLUnr1/VjgzaXr5pD2TsPr6apyKOlXouHVB68TlndQ7mH9+Pnqs74H3jr6HSzGXREZkaRKfGY/55+Zjy+0tCEnm/NEnoblrc6koF4Bjkcce74xuM13b7JfxL6zzTah/n4nArehU6AON61qLRwdg3L/AK0cBY9NCYnRvj94wlhljRN0RYl0NtXDdosPruusf+4GCTB+6H31l9zJ6JPkuTFPviKapR2t0ru+u7x4xlRQWbRmGYRiGYRiGKR/igpBpZIYIY2Ok5usp/i7+kBnxz5Kyhpy2Na1qijbldYYmh5aaUPvFqS/QfX13TNw9UTgzKT9Xw97wvdo2ibLj6o9Dm+pttNtyVDnYFrINL+58EcO3DheibnquJo/22QhKDMKya8vw0fGPKm2Wb1mhkCvQunpr0ab/5/WE64++gosv4NNTNOXGCrzZykK0lSo1tlyS3KxlTVZuCcVTS0fxXCTXtyYaoVutbqI9tM5QId4S9JzJdm8J1GghXS/6KnBLug4Rk5olCq61/nI/7iVllvr5MAZM+AnEyOUYWKM63rEs/D7HMKUJfztiGIZhGIZhGKZciHNtD/+s3zHFeLh2WzOXZnrtU1VBLpNjtK80hZ0QmZ3PwG+Xf0OPDT2EUEs5ufFZ8dp9pnJT9KjVA/M6zcO7rd7Vbqdp5T1q98Afvf7AtiHbhIBro7DR7r+ZeBNzT80VAvCBiPyCUc9ASJLOXetl6/XMt1fV6Fijo7Z97O6xx1+h63vA6H+AmecwqncntPdxxO8vNsebveqVbUcBhMWlC/F0/p4gJGcWjuQoimvx17TRCCRO25vZi7aTuRN61e4l2knZSdhNwm6HOYXdtvmsPBmO3w6HICkjVxQ/Y6oQYccQqFAgTGGCHRnhuBJ3Rd89YiopLNoyDMMwDMMwDFMuHLgRgxy1McLNc7Tbmrpwnm158ZzPc9op7/8G/1tiR2tRsQWpOamIy4zTritkCnSv1R3fdvoWR0YdwQ9df0Afzz6wMJEclw9CRZ/eavkW9o/Yj8/bf47Gzo0LFcGq5/DsQl9wcrC27W1XoCAVUyI61OigbZcoB7lGc8C3HyCTwcxEjtWT26BXg2rlkgH74/5bQqz98cBtrDwZptsRHwws6QUE7SoUbUBZyhrnOUUjFGSM75jCgxv1+gFO+c/HiJNA+EnRHN/OA+Ym0pSBNWcjEKeHomuMfsgNOYZAU10huvqO9fXaH6bywqItwzAMwzAMwzDlwv7r0eJSbh4uLmkackOnhnruVdXB1tQW/b36izYJtv8F/1fssZRhSjmz35z5Br029sL99PuF9pPQRUJtN/du+KbjNzgy+ggWdF2Avp59ixVqi8LM2EwUgFrdbzXWDViH4XWHo5dHL9SwqlHouFWBq0Q+7Z0UKUeyJAQn6URbdto+OW5WbtrHjZyEydnJMERux6RpIxioAN1L7TwKO2PvnAb+GQWcW6rd3LFmR+wYugNrBqwR7u+C+Dv7o559Pe15X6NoiA6vFb5NAI5WphjTqpZoZ+WqsPTYs0eOMBWA1GiYJAXjusJEu6m+A4u2TNnAoi3DMAzDMAzDMOWSN3nkZhyM5GmQm8Zq3Ukk2jHlB7kI7UztMLHhRHSu2blIofbbs9+i14ZeImd21fVVQrDdF76v0LEkth8edRgLuy1EP69+sDSxfOa++Tn64ZO2n4hYhYLkqfJENi0t/Tb3w9S9U7E/Yr/Y/ih3sEa0dbVwhZXC6pn7V5XdtvTcoCzkJyI6EEi5p/1/HAyKKVF0wZOycP8tqPJNtC938oK1Wb6YlhQBXM4vumdqCzTSxbIQ5ABu4NigUESHZnuhKJGgNUCjEYCN5MzFrd3A/auiOaWTJ0zkRtq4hLI4P8bACD8uLjROWysTa7hbcyEypmxg0ZZhGIZhGIZhmLJnw0Sst12IceaH4SnvjcZOjdGqWit996rKUde+Lg6MOIA5zecIJyWJaQGxAZh3dh56b+wthNqVgSsRnSG5ojWO6IJRCBphq6yE0Aen0wclBInp7BqO3zuO1w6+hj4b+2Dx5cWIyYh56DYoYzclJ0W0ORqhdCISjkWWINdWE0mwcgiwuC1wfCHC49MxbukZTFh2FosO3i7V/gXdT8W2AEkYdrRUiMgCLccXAhphv/UrgJltiW+3n2c/WJtYw83STXLdyk2Adq9KO+WmQNQl0axua47hzSUxNzU7r3A0A1MpyQo+iji5DDHGUsG6+o5+5RIBwlRNpGcZwzAMwzAMwzBMWZGXA7OQPWiYm4EGViFIHhIAO0tTffeqymJCAlQ+7xx9BztDdz50DAm17dzaiRiELu5dHnIjlicNnBpg7/C92HJ7C9bfXK8tIEXC8qJLi0RRtG61umFE3RGiqJTMSMbRCKVEc9fmIgc5My9TiLbkuKXH95GY22tzX3FhJYybvobToQliddnxMDzfujZqOZY8QuNRLNh3UxtVO7WzNyxN8yWOlChx3wIaXGgzTTRpkCIqPUoMWDwKivhY2W8lPGw8RBE/QbNxQEY80HISYF1Ne+wrnbyx9uwd4fZdejwMEzt4wkLBUktlJf1+sChCpsHPwU+v/WEqN/xOwjAMwzAMwzBM2XL3LJCbIZpGXl1YsDUgWri20Iq2xkbGaOvWVivUUgauoeBo7ohJjSZhQsMJYpr+2qC1OHL3iBARlWol9obvxal7p7BvxD4huBUUbdlp+/Qo5AqRM0wifscaHUt2JQsHoMlY4NwSIDcdNYLXYXKH3lh0KBg5ShW+2nkdi19o/sx9u3YvGTuvSlnLztameKFNbd3OEz8ByvzCYCSyUp/yM2qf3/E8Gjk1EhEhD+bZFuSh543CAuj2wUPHeThZYkBjN/x3+R4S0nOw5swdIdwylZPlnvOwKoByjaWYBC5CVpi8vDwkJSWJJTExUbsUXC+qbWZmhqtXpdgRRgeLtgzDMAzDMAzDlC0hB3Vtry767AnzACRaHbxzEL1q9xJu1ScRanNycpCcnKxdUlJSCq0/uGRlZeH555/HqFGjnrq/5PKkKfu0RKVFYcOtDdh0a5OIbxjkM0hbBC0kOUR7HRZtn423W7795FdqMz2/8JcaOP0bpk99GevO3UVcWrYQWk+HxKO1l+Mz9euHvbe07eldvGGuyHfEpsXqio4ZmwNt82MNAOwJ26MVb1NzUlFaTO/qLURb4vcjIXi+TS2YGuf3h6lUXIhIQoZZIjTzFSqjaJudnY2EhIQnEl017dTUp3tdmZubl/p5VAZYtGUYhmEYhmEYpkzJCtoPKjcWJ5Mhp5ofqqvVnAFoANCP67ioOEy0nYjk8GTsC9hXpNhanBhLIuyTsmPHDrRv3x41a+YXdXoGqltVx6tNX8VU/6k4GHEQvg6+hbJ729doLxy3HI+gB5x8gHp9gaAdQEokrG5vw5u9WuPdTVfE7s+3X8e/M9pDJnu694HLd5Kw77qUu1zNxgxjWtXS7Tz1C5CXKbWbjwesnLXRCHvC92hd5TRIUVLCU8Jx9v5Z4TrWkp0GRF8FarWBbzUb9PBzxcWIRIxrV1sb2cBULpQqNS7dSYLcXYpooQKMtWwKPPcqAT/++CM++OADpKWllcv90XcBOzs72NvbIzc3FyYmuvgehkVbhmEYhmEYhmHKkqxkmERLRXuW29bEX7tfhKuFK77q+BVaVmup795VSZRKJT777DN88803wi1b3vf9119/4cMPPyy12zSRmaCXR69C20bWGykWRo+0nSGJtsTJnzBi8jAsPxmO61EpuBKZjE0XI7VFvJ4UL2dLvNmrrnC1zujmAzOTfFdrRgJw5g+pLVcA7Wdpr0PuWsqzJdq4tSmxq/zj4x9j8+3NMIIR2lRvg5rWNYGj84ETPwIqJTDnqihy9sWQhrAxM9E5fplKx83oVKRl50IeOQoNvVLRr4Hj4zOeKxA//PADXn/99Se+nkKhEKIrLRoBtqj1otrW1taQySrPY1jasGjLMAzDMAzDMEyZkRS4H3ZQifYJM2vyd4oCUi4WLvruWpUkNjYWY8eOxb59+57KEWVjYwNbW9uHluK2a5bMzEy0bdtWuB2XLFmC999/n3+oVzASshJEFAVdligyoXZ7oLo/EHVZLPI7J/BRfz+M/fO02D1v9w30a1TtqYp2WZuZYGa3OnixrQfMNYItkZ0KeHQAbu4Cmr4A2OgKju0O261tUxxISXG3dheXaqix7uY6vN78dSAxFMhMlA44uwTo+DpcbWg+AVNpUebCce0gfGLsgsPZ/ujgMQaT/SuPi/+nn34qJNj26tULbm5ujxVdaaE8Wp49UzawaMswDMMwDMMwTJkRc2k37AAh20aYSa5OBzMH1LKuXFNKKwInTpzAyJEjERkpTe2Vy+UYPnw4nJ2dHyu60n4rK6tnElpJBNi9ezfCwsJw4MAB9OhRfBEoxrCggm+jt40WTlWKFpjQYAKcLaTYgWIhEYfyZDdNltZP/oJ2Y/4RMQIUbRCdko1fD4fg9Z51n7pftuYPTKW2rw2MXSsJxRZO2s2FohFkTxaNMLTOUCy6vAh5qjxsvrUZM5rMgGn714ALK6XM3lOLgTbTABPO5KzU3A+AS9JFTDAGHJSpcK89HZWFX3/9FbNm6VzpNBPj448/1mufGAkWbRmGYRiGYRiGKTNs7h0TlzeNFciCVM29qUtTduWUIyRYLViwAG+//bao7E1Uq1YNa9asQefOncutH5MnTxaiLUFuWxZtKw40BXyA1wD8ceUP5KnzsOHmBkxrMu3xV2zwHLD3YyD1HhC0E4gPxvv9fHEoKAZ5KjVCYtPE87Ok7wclPpYcvgUIiAvA/fT7ok0RB09ScM/R3FE4c3eE7kBSdpJw7A7yHgTUHwwEbgHSY4BLq4GW+eI0gHtJmfjjaAg61XFGV1+eVVApiDilbTZt3wfV3Er+HDJk6L142jTda5mia1iwNRx4PgrDMAzDMAzDMGVCZlwEquXdFe3tFtIUY41oy5QPVERsxIgRYtqrRrAlofbixYvlKtgSgwYNgpOT5H7ctGkT4uPjy/X+mWeDMoI1+Z3rb65Hrir38VeSmwCtXwE8OgJj1gD2nvBytsJ7/fywalJr/Dy22RMJti8tO4vPtwUiLk0aACopBaMRenv0xpMyxneMtr3mxhqp0WGO7oDjPwJK6fVFmb2d5x3EsuNhWLD/lug3UwmIOEW+aqyxtkJ87RpQoXzzwMuC5cuXY8qUKdp1Gtj73//+p9c+MYVh0ZZhGIZhGIZhmDLhWLQCXbK/x4e5E3DWXheH0MylmV77VVUICAhAixYtsHHjRu22d999V+TZktO2vKFiNePGjRNtKoC2atWqcu8D8/RUs6yGru5dRTs2Mxb7I/aX7IrtZgHjtwH1+gD58RqTOniiQx1dfEFJOH47HkduxuLPY6EYv+xMYTH0ygbg6iapMFgR0Q57w/dqoxE05/Ak+Dv7w9fBV7qruCu4FncNcGsCeOfHLCSFA9c2i6ZvNWt4O1uJ9uU7STgRzIMTFR56rkWcQrRcji+cHDDuzGeYfXA2KjJ///03JkyYoH0dzZkzB19//TXPgjEwWLRlGIZhGIZhGKZM2Hc9BmHq6lil7Ikos3SxzUxuBl9HSfxgytZB1aZNG9y6dUusU9GY//77D1999RWMjfWXkjdp0iRt+88//2QXYgWjSMfp4yiFgnP0PJm/N0i7PqWjl05cys0Cdr8PbJgALG4H5GQUum5Kdgq87bxFFm/b6m2fKBpBA93XqHqjtOtrgjRuW13hJhz7QYh7dOz0rj7azb8cvP3E98cYGFR4Lj0GAaYK7aYGjg1QUVm3bh1efPFF7fvvq6++iu+//54FWwOERVuGYRiGYRiGYUodlUqN/TdiRNvMLAUJOVKeZCPnRjCRPVA8iCk1srKyxHTX8ePHIzMzU2xr1qwZzp8/j4EDB+q7e6hfvz7atWsn2levXsXZs2f13SXmCWhVrRW8bL1E+3z0edxMvPl0N1RArCfhaHtAFA4GSe8XRXHoZiwuRCSJdh0XKwxo7KbbeXElkBYttZ3qAgqLQte1M7PDrz1+xaFRh/BOq3eerr8A+nn2g7WJtWjvDN2JpKwkwKMDUKOFdEDMNeCWVOysf6Pq8HCU+kFO2wsRiU99v4zh5NleMTXVbmrs3BgVkc2bN2Ps2LFQqag8KDB16lQsXLiQBdvKINp++umn4h9ZcPH15VFyhmEYhmEYhmEKExCZrM2d9PNM0G7nPNuyIzg4WAii5GDV8Morr+D48ePw8pKENkPgQbctU3F4yHFaUretRqi9tQ9Y8RwQsFZsSs3KxcjfTmLG3xfw0ZaryMp9ON6ARN0f9urE4Tk960IuyxeY8nKAYwt0B3d6q9i7J4dtbZvaeFosTCww2GewaGcrs7E9dDs9IEDHAm7bk7+IC+rftC7e2s2L2G1boVGGS6JtgJnOadvIqREqGlu3bsWoUaOgVCq178W//PILC7aVyWnboEEDREVFaZdjx6RqsAzDMAzDMAzDMBosbmzCt3ab0FZ2Dd7OeTA3NhfbWbQtG/799180b95cFBgjzM3NsWLFCvz6668wMzODITFy5EhYWUmZn//88w/S0tL03SXmCRjkPQgWxpKLdFvINqTkpJTsivcuAKuHASEHgRM/CxHXytQYCmNJlribmCmKdxUVsxJwN1m0/arboE+DAnnMl/8BUqRih6jbB6hetu5HEqxbVmuJ7zt/LwqzSffbF3BvA3R6Gxi+VHvskKY1Ud3WTHsOVKCMqZjkhh4HlZkLVEiibQ2rGnA0d0RFYufOnRg+fDhyc6UCgpQv/vvvv0NWCvElTNnxxP8dyj+i0HrNoqn+yTAMwzAMwzAMo6Hu/W0YmbUB/yi+wKeNe+DEmBNYM2ANFyErZfLy8kTF7+eeew7JyZKwVbduXZw+fVpkFhoiJNiOGSNlo5JgS/mKTMXBSmGFgd5S1IYRjHAj/kbJrujWTBclEH0FCD0iHH4f9q8PjXGW8l81Dn1NzMr8gi7bHnUg0xyszAOOzX+kyzY8JRx5KpLbSgcPWw8s7b0UvTx66WJeSPSauAvo9gFgqdNHSIx+uZPO4b7oUDD0AT2Gl+4k4cCNaFEY7V5SJnLypKnxTAnISIBZ0m3cUpggK1/grGgu2z179mDIkCGiACRB8QhLly5lwbYC8MQJ9BRk7+bmJkZr27ZtK4Lsa9XSVYJ9kOzsbLFoSEmRRpcoP0OToaGJWqBpDwWD6B+3XXP9p91OT9AHb/tJtz9t3/mc+Jz4nPic+Jz4nPic+Jz4nPicKu05KXNgFH5CtNXWbrCoTpFqRqjvUL/inpMB/p/u3bsnxM8jR45o940YMQJ//PEHrK2tH/q9ZUjnRNNyqZ/EkiVLRBXzyvp/qoznNNZ3rMi2HeA5QIi4dEyJzqnNdMg2TpTaJ3+ByqMj6rlaYWQLd6w5ewdp2XlCpP18sFTkaceVKK1DtXENW3T3ddbd1pV1kCVKzly1V1eoSRTO30fnpFQpMXH3ROQoc9Dbozfeb/V+qf7/Hvp/5O8ruH1k85r4+cBtxKfnYHvAPbzW3QeeTpZl/n/KU6lxOjQBu6/ex57AaMSk6jQZDbbmJnCyUmDFxJZws7PQ9j0kLh0R8Rlin4uNGRytTCF/YPZ8lXo9mVhgkduXuJa8jfzgYltDx4bisiKc08GDBzF48GCtLkefEVSokvr5LP8/g/s/ySrWc+/BfaUi2rZu3Rp//fUX6tWrJ6IRPvvsM3Ts2FEEyNOXgqIgUZeOe5DY2FgRkq+ZumNraysEXU1YPmFpaSluNzExUTsiQNjY2MDCwgIJCQliZFmDvb09TE1NxW0XfMAcHR0hl8sRE1M42NzFxUVkecTHx2u30QPo6uoq7o/uV/tAGRsLVzH1TyM8EwqFAg4ODmKEOD1dqojL58TnxOfE58TnxOfE58TnxOfE51SVz8kh5RoUedL1s6q3RnJsbIU/J0P7P1EMAmUTau6XbuOLL77AW2+9JW67YH8M8Zz8/PxEfZQbN27gxIkTOHPmjPi9Wdn+T5XxuUfn5GjkiG723ZCRlAH6K/E5ObaGs5Ub5Gn3gFu7kXDzJPLsvPFiE3v8dzkSGTkqrDkTgX51rODpYIbvd+tcvLO6eYnHQKBSwunQt9qpwwkNJyG3wGuBzunM3TOIyZC2hSeEIykpqUz+TxrButD/KS8bkEtT6ce3rYXv992Go4UJroZGwVJlU+b/pwv3sjB93TUUxVvGa5CotkZEtgvCs1yRHV8DmaY1tOe07uQd/H7yXqHr2Jkbw8GCFhOx1HS0Rr3qNujsrst4JZydJVG9sr2eVsb7ItHiLEzyRVt3Y3dxaejnFBgYKApQarS3vn374vvvvxeCJV2/sv2flBXovbzg/T4KI/WDcvMTQG96tWvXxvz58wuFyT/Oaevu7i5Oik5EdIKVeD4nPic+Jz4nPic+Jz4nPic+Jz6nSnNO6Ts/gfXZH0VbNeQ3oNHICn9OhvJ/ovuZN28ePvzwQ+191qxZE2vWrBFFyCrSOVHF8jlz5ojtdEm/KyvL/+lZtlf6czr5C2R7PxRNdbOXoB4gFRJbfDgY83ZLUQgdfByx5KUWWHkqHIsPhaCWowU2Tm2ru41rm7WOXXXtdlC/tP2hc/r6zNdYfX21WP+83ecY5DOo1M5JDTVORJ7A2qC18Lbzxqyms6Tj0+OgPrUIOP8X1JP3A/YeSM3Ow84r9zG4SXWYGstL9f9Et30oKBYu1qZo7emg3Z6rVKPF53uRk50JGJuhUx0n+Fa3QUpqOj650g0yFL5ttZUrjOw9obb3wIEYS/wXYYqjqsZIgKTZFEUbLwf8Pbl1oW1DF5/E3URy6ZqipYc9PurvB2O5zHCee0+x/X5KNtp9fQAWXvMhN42BsZExjo8+DguFhUGfEw2G9enTRys+DhgwAOvXrxfCpMG/R1TG9z0U3k7aKIm4FGuk0UZLXbQlWrZsiR49eghHbUmgjpFC/biOMQzDMAzDMAzzBKiUwMWVQMo9oPVUwEL3A748oWrwIV+2hr9Mym98vf3zyJYZiQJk4xuMh7HsiRPamHzI+ELFY7Zto2m6Ej179sTq1auFw62iQY4oit4jhxK5niIjI4WgwFQ8krOThWhhZ2b3+IOzUoD59YGcVCEoYs41kQWblatE9+8PIzJJcrItHd8C3XxdkZGTh7jUHCHcatn3GXDsB5IbgRc3A97dCt2FSq1Cz/U9EZMZI7JnD406BBtF6ekPCVkJ6LG+B3JVubAztcO+EftgKjcFDs8DDn4uHdRiEjCgQOZuKUGZv3sDo7Hr6n2cCI4TAm0PP1f8+VJ+XjCRmYSwv6bA1BiwefFvWJrl5+/G3QZ+bl6i+1nsvRjnVXXF/cWmZsMl7QZ64QTC1a5iqePbCP97oRcg0wnR7b7aj3vJkquTWDCqCZ5rWgMVmW0B9zDz7/Mwq74eDo5RqGXnKPLZDRnKNKfPhtTUVK3DdvPmzcLlyRgGJdVGn+kbE1mGg4ODDTbgnmEYhmEYhmGqBJlJwKYpwK090vqV9cDYdYBTnXLvyslrwehhFCLad828cCzmHDLzMnEz8SYmN5pc7v2pLJw/f15U/g4LkzI8ya3z8ccf46OPPhJTRSsiNM2ViuOsXbsWcXFx+O+//8Q5MhWH6PRoLL68GNtDtmOs31jMaS45px+JmQ3Q/CXg5M9AXhZwbinQ+W2Ymcjxbl9fvPrPRXHY59uvo2MdZ1gojFHL8QHposcngP9o4OpGwKvrQ3dxKeaSEGyJdm7tSlWwJRzMHEQxMjrvpOwk7A7bjUHeg4BWk4HjC4CcNODiKqDzO4C16zPfH7lXd1+LFhm1Z8MT8KD17sitWKRn58GSVNqI08DGSfBIviPtvLoKaDFBatvWBCbtBRJCgcTQwpfphaebTxvSA7By0a6rT92E0a6tugPobf4LBWBXC7D3BBw8McUEuGjliv/S/MQhR2/FVWzRNu42lOc3wcPIAWFRI/FFn1Zo71OCgQk9cu7cOfTu3Vsr2JJ4u2nTJhZsKyhPVCruzTffxOHDh8UXBbJa0wcsfUHQVP5kGIZhGIZhGEYPZKcCked16wkhwJ/dgeCD5d6Vexd3Q2YkKQpB7k2FYEuQ05Z5csi9+Ntvv4noA41gS2Lnzp078emnn1ZYwVbD5Mk6If/PP//Ua1+YJ0cuk+Pf4H+RpczCplubkK18uOBVkbR+BTDKlyPO/A7kSu7MAY2ro3lte9Fu4GaLjGxl8bfhXA/o+j6NYDy0a094/gAWIIqQlQWj643WttfcyHdemtvrBFJ6LE4vfuh6VORrz7X7JbqPCxGJGPDTUXT45iDmbgvEmbDCgq2brRkmtPfAyomtYEZvBeT0XdYX0Ai25Hy2LODCNzED3FsB/qOALu8CQ38DJu0B3roFvBcJTD0OjFoF9Pqi8PVooCi/6FshlDlA/G3g9l7xf5yQ9jsWOG6GmYn0vyUn8DNO7tYvN7ZicPgXOGT6BobLj6CZuz0U+VnFhsilS5fQq1cv4d4kunbtii1btsDMzEzfXWOekidy2t69e1cItDSNhabfdOjQAadOnaqQU3EYhmEYhmEYptJg5w6MWA5smCjFIsTeALKSgVXDgH7zgJZF158obZQqNSzvHtWu33GrDkRI7WYuzcqlD5UJyiKcNm0aVq5cqd3Wpk0brFu3TtQJqQx069YNHh4eQpDes2cPwsPDRd0UpmLgZO6EnrV7YmfozsKO08dB7sz6g0U2LZx9gfRY8T5GDvK5gxsiM1epFW+fFIpG2BMmibYUjdDFvQvKAn9nf/g6+OJGwg1cibuCa3HX0MCpAdBmBnD6N0nQPLsE6DAHMLMV4uW7G69gw4W7sDCR49i7jrA1Nyk0QJOdpxKOYw0OFgpcjSxcsMjb2RJ9GlZDnwbV0bCGjXjMkBwJrBwHhB/THVirHTD0d/G4hiSHIC0nDQ2dGkKmEcsfxNQKqNZQWoqi/SygTs8CDt0wnVM3N0N7mMzBEy0VDsJlG5WchdC4dHg5W6FCQq7lfLybdIGthe7/ZWhcuXJFRJdqCm517NgRW7duFQWxmCoi2lK4PcMwDMMwDMMweoaKW5CLy8Rct82zIzD7MqBWAhsnAzd3Se3trwOxQUDvLwF52ebJkiuspSpAzOfLgzEC1NL0TIKdtk9GUFAQhg0bhmvXdBXgZ82aJYqQVabcVyoGQ0WtKeaBRKu//voLn3zyib67xTwBY3zHCNFW4zgtkWhLdHkfaP8a4Nak0Ob6bsVEGZBj8+ZuwKfHI9/LLsZcRGxmrGi3d2sPa4U1ygISS8lt++nJT8X6mqA1mOs0F7CpDviPAS4sB7JTJOG24+v5RYikwS0qILbqVDimdvbG2bAEkU9L7tuhzWrizd71tPfh4WQJ32rWMJHLhFDbu4ErfFweOJ8b24F/ZwCZklgnHMwUy9DxTfE40f/m3aPvCjG7plVNDKs7DM/5PCcE9yfCxk1aivq/pEXrBFwrV7S76yREW+JEcHzFFG3pc/bOKVGyLdPCAdOG94WhEhgYiO7duwuDJUEzM7Zv3w5LS0t9d40pz3gEhmEYhmEYhmH0DDlo14yVMmwfnHaqsABMrYHRfwPtXtVtP/Mb8PdIKUahDNkXeB9f5o3FiryeuFOzHy7EBojtViZW8LHzKdP7rkyQk7ZFixZawdbKykrkvi5cuLBSCbYaxo8fL8RbYunSpVAqHzElnjE4mjg3EY5TghynV+OuluyKznUfEmwfSdgx4J9RUiGt6wWyVR9A47IlKHe2LOnn1Q/WJpKIKtzGWUnSjvazdfEPpxYBuVJMDIm0svw0h8WHgtHyi30Y/fsp/HUiTBTw2lVEbMKm6e2w9dUOmNHVp7Bgq8wDtr8pfR5oBFubmsD47VL0gdwYJ+6dwPvH3heCLXE37S4WXliIK7FXSu9BICXauhpQuy3QZCzg0x3tfRy1uykioUISf0s8rveM5WjraoVhW4dj9fXVMMQBPpqxEBsrDVS0atVKxOdYW5fNYAVTvrBoyzAMwzAMwzAVhdibwB/dgZs7JdHi6HdFH0fVvHt9Dgz6GZDlT+dU5UmV2suQfddjsEfVEp8qJyB1wKeIz5JcP/4u/iL7knk0OTk5mD17NkaNGiWKPhMNGjTA2bNnMXLkSFRWatasiT59+oh2REQE9u3bp+8uMU/hONXwz41/yuaOjnwrXdK0/PwM3OKKhLmYu5RpNIIGc2NzDPYZLNqU57vl9hZph6O3FP9AUPQDFSXLd84OaCy5VdOy85CQnqO9LRO5EWramyMjJ6/QfVAhtiKh99SCxcN8BwBTjwK124lVEs9fO/ga8ui9n+7bxkNc0mPTsWbHQjcVnBSMqLQolBYNFDH40Gwddijeg+ntXVCpKmCubcRJcXHF1BQkeVMxzcSsfHHcQLh9+7YQbKOjo8V68+bNsXv3btjYlG7hPUZ/sGjLMAzDMAzDMBWBGzuAP7pJ7h9NwZsazR99nWYvAuO2AO6tgZHLAXnZ5fGFxaUjODZdutta9ghN07ntOM/28YSEhKBz58748ccftdteeOEFnD59Gr6+kouxMsMFySo2wnGaH0OwK3TXk4tbNGvg1j4g7nbx2aKhR6S2gxfQYEixN/WK/yvYO2Iv1g9cX2bRCAUZ7asTrNcGrdW6WkWWrYYTP0rOWAAzu/nAPD+3li77NaqGhaOb4PxHPfHXhFbFi7RFOVwHLgQc6wD950sFxCjTHEBociim75uuLQTZvVZ3bBm8BTuH7sTnHT6HsazwfXx/7nv03tgb0/ZNw/7w/chV5T7TYyJPCsVkbEF9WTiG214XcRAVDXXEKXEZYKqb3dDYuTEMhdDQUCHY3rt3T6z7+/uLXHA7Ozt9d40pRco21IphGIZhGIZhmGfP1SOH2aGvdNtcGgCjVwMOno+/vkcHYOLuhyusZyYB5qX3427fdcnpQ3T3c8XFGN0UZc6zLR6KAvj555/x/vvvIyNDKuZDEQgk3r788stSkaEqwIABA+Di4oKYmBj8+++/YqovF7yuOJDjdIjPEKwIXIEcVQ423dqESY1KWAAx5jqwfrxUQLHpC8DgXx4+5sg8XbvjG4/N56ZiW9523igPatvURju3diKKgFy+8ZnxcLZwBqr7A97dgahLQNNxAAmhcmPUdbXGjtkdEZWUiWa17QsVHnskFIEQHwLULDBYR4N3008WGpCLTo/G1L1TkZgtCectXFvgm07fiNkONa1riqUg99Pv4/i941BDjWORx8TiaOYocm+H1hmKWja1nvxB8egAtdwURspstFddBMwqnvSUF3YS9KgGmOpmqFAhN0OACjZ27doVd+7cEesNGzYUMxQcHCTRnqk8sNOWYRiGYRiGYQyVrBRg7QuFBVtymE3eWzLBVsODwl9aDPBrB2DPh4CqdPJDZclhGKk4AScko2d9F1EMiDA2MjaYH7qGxo0bN9CpUye89tprWsHW09MTJ06cwCuvvFJlBFvCxMQEL730kmjn5uZi5cqV+u4S84SMqjdK214XtA7Kkr632LoDKflT8wPWAam6ASDBvYvA7b35x9YCGuvux1CY3Ww21gxYg9X9V0uCrYZBPwKvXQE6v1WocKSnkyXa+TiVXLANPwEs7gD8PUL3WGl4YAbFtpBtuJcuuS/r2dfDj91+hKnctNibNpObYbr/dLhZ6oqMUbTNkqtL0H9zf0zaPQk7QnYgR6mLcngsCksY5cc0IOWuVAyzIpEaDZPkMJDfODA/R5yKuJEor2/u3r0rHLYk3BJ+fn7Yv38/nJyesLAcUyFg0ZZhGIZhGIZhDJG4W8Cf3YGg7fkbjIAenwLDl4kfxE8NTdFd8zyQfAc48ZPULoUCZRPtAvCt7GecM5sG76gdWNB1AT5r9xle9n9ZuPAYHXl5efjmm2/QpEkTIdBqmDlzJgICAkQuYVVk0qRJhSIS1A8W2mMMGnJktq/RXohbY/3GQqkuoWhragW0GC+1SRg8+0A8xpEC2d0dXis25oUco3GZ+il6Vd+xPho4Nnh4h23NZ3+/PvQ18Fd/SfzMiAd2vv3Iq0xsOBHTm0wX/4fFPRY/NiLCzsxORErsHLYTv/X4DT1r9xSDbRrO3D+Dd46+g+7ru+sKrZWEOj11bY3oXlG4I0Uj3FKYIDdfNWvk3Ei/faLxi3v3hMOW4nSIunXrCsGWZikwlRMWbRmGYRiGYRjGECGhIu6m1DazBV7YIGUkPqv7kqYV+48GjPIdXlTUbElvICni2W435KC2aVSjOTxtPcXU2mn+057tdisZJMq2adMG7777LrKzs8U2Hx8fHD58GD/99BOsrKxQValXrx46dpQKJF2/fh0nT0qFgJiKw1cdvsL2odvxUoOXoJDrskAfS6tXAE3OKom2uVIWK+5fBW5sk9rW1YEmzxd7E0uuLEG3dd0wYdcEhKdILsQKTdIdYPlAaaaFJie3dgegz9ePvBo59Ol9d8OgDYVdv4+BIiXa1WiH+V3mY9+IfXi9+esi+kEDvaeTwFuQRw6s+OhEW+XNPUjOeLac3HLF1BpnjJvjbAHBu7GTfvNsqdgYOWyp+Bjh7e2NAwcOoHr16nrtF1O2sGjLMAzDMAzDMIZI/+8Ap3qAsx8w5SDg06P0brvlJODFTZIYTMRck4qc3TnzdLdHAkv4Sd1UZ6qczhQiJycHn376qXDRnj9/XmyTyWR48803cfnyZRGTwBR22y5ZskSvfWF00ACDJj/zUdib2Qvx74mxrQE0GCq1MxOAy2uk9tHvdce0nw2Y6PJFC0JRDHvD94pc1oDYAJHJqi9IyDwffR5ZeVmFd1CsAUXS5Be4eiSB/0kRNhH5TnwaZOv6IfDSf9Jj9cD93Ul9+H9jafL0Dl9Hc0dMaDgBW5/biqW9l6K/V3+Mrjf6ofsds30M5p6ci8D4wIdvxKkOcqyk/Fxl6AmsPlrEMc8I9WHVqlVo0KCBEC9bt26NESNGiPdVygXfsmULLl68iPj4+Cdy7qfW6IjR6W/gKxPd+7I+nbaU8U2CbVBQkDZG5+DBg6hRo/Bzgal8VLw0aIZhGIZhGIapCphaS+5acwdp+nAJICdTanYuatiZPz4P1asLMHk/8PcoICEYSI+VpuBSEaDGI0vcTaVKLX6QK5SSaxRenZ/dDVzJOHfuHCZOnIgrV65ot9WvXx9Lly4VIgOjY/jw4Zg1axZSUlKwZs0a/PDDD7CxsdF3t6okKpUKR48exerVq7F+/XokJSWhZ8+eQgzz9fUt/TtsOx24sk5qn1oE1OsHXN8qrVs4Ac2kzOOiuBBzQeSwEh1qdICVQj+O9VNRp/DNmW9wO+k2Pm//OQb7DJZ23DkL/NVPin+gfNfn1xd9AzkZwO73gfPLdNtoIGzYn0CtNkVeZcGFBVhzYw0WdluINtUfPoaK+82ZMwfp6el455130LZt2xKfD32OtKzWUiwPci76HK7FXxPLupvr4Ofgh+F1h6OfZz/p8TcyQo5nNyiurIDCKA+pNw4Avf1RWtD76YwZM8RzVMP9+/dx5kzRg48WFhaoVasWateuLS41i2adBFAqAklcvpMMlRqQmUtiuLHMGL4OZfCcz4cEZXrPS0xMLHJZsWIFAgMl0Zv6Sg5bd3f3MusPYziwaMswDMMwDMMw+iY+GNg6Gxjyq5SBqMHu8VW7I+Iz8N/lSBwMisXFiETxQ9PRUiGqkjevbY8Wte3RsIZt0QVvnOoAk/cB618CQo9IgsKmKZKo0PUDsoI+9v5Ph8bj2qrlmJJ/aLZHR/x24Uc0dWkKfxd/2CiqruCWmZmJzz77DPPmzRMCGCGXy/Hee+/hww8/hKlp8cWBqiqWlpYYO3Ysfv31V1Gcbe3atZgyZYq+u1WlIDGM3Iv//PPPQ+7avXv3olGjRpg9ezY+/vjjRwrqIUkh2HBrA2Y2mQkLE4vH37FbU2n6f/gxKRom6hIw8wxw7Adp1oGi+NvYHbZb2+7l0Qv6gop6kWBLrA1aqxNt3ZoAVq5SlvitPcD9K0C1B5yb5ARdOUSbpyqoPxgYuBAwty/y/lZcW4GlV5eK9sz9M7Fz6M5CkQgUM9K/f3+EhoaK9X///RejRo3CV199Jdyaz0JESoTIK8/Mk6Isridcx9xTc/Hdue/Q26M3xvqOhV+DPsCVFWJ/zbjjyMyZBXNFCYuvFQOJm5988omIk1EqdbnJzs7OwpFaHPR+QsUfaSlOoCa3Lom4skb9AUc/yBRSRnIts1rISMmAwk5R7IAoCa9paWlaoTUhIaFIAbao7TQgUvBcioOEZRJsPTw8SvBIMZUBI3U5p7vTC8zW1hbJyck8YsowDMMYBvRDOvIcELQDoB8VnR9d4IFhGKZUubkH2DgZyE4GqjcBJu4qVGX8cfx7KRKz11x65DEKuQwNa9hg9eQ2Rf9gVuYCO94Ezv+l2zZ2PVD38eLH3G2BGHxmLBrLJFHgwvjNeOnwbNEe7D0Yn3f4HFWR48ePC3ftzZv5ucSAKDxG7tqmTZvqtW+GDsVHtGjRQrTJiXzqVAmmkzPPREREhBBpyVVb0BFeUEyn3+9RUVHabdWqVRMF9V544QUR9VGQZVeXYf75+aL9cduPMaLuiJJ15MYOYM0Yqe3ZCXgp32n7CCgagYpkkdNWIVPgyOgjzxQN8CyQvDJy20jcSJCEwTX916CBU36BstO/6YqINRwODC8i/uPaZmD9eICKN/b9Bmg2rtiZC1uDt+L9Y+9r1z9s/SFG+Y7SrpO4N3ToUKG9PAg5Sl977TW8//77Qp95WtJy0rAjdAc23tr4UEQCxWSs6bUEdX7rDWN1HoJV1RH5wlF0qlvynN0HH9u///5bRB+Qo1YDZYKTgNunTx8R4xEZGYnw8HDxnNYsBddpMO1ROFsYwbj/R1B4tQJkmUjcPweqzCSkXUmDtbW1cLpqXK4FRVgSXqnIZFlB90lFx+rUqVNm98EYnjbKTluGYRiGocyx5YMAcgqQC6LjmyVylzEMwzwT5J2gvMYDJGqqde9HGQkPZRaGxqXj4I0YHAyKwfh2Huju56rd17muM2RGEA7bOi5WcLMzx6U7SUjO1BV9yVGqEJuW/ZBgu+nCXWTkKNHCwx51+v0AOeXn7n4PaDGpRIIt/Yg+E3gLHxiFiXWlS0NcSJWqWhPNXZujqkFTkEkIIRFB448hgYScYW+99RZMTIqufM/oaNasGfz9/UXW7+nTp4WISO5OpnQhoYliD0ioPXLkyEP7yRXeu3dvPP/88xg8eLBwGJJISwuJYyScvfTSS8IVTc93ymvW0Kp6K22bpu4PrzP88ZEtRN0+gIO3FNlC7n+ahfCYjOyC0Qgda3bUm2BL0DmOqjcKn538TKz/c+Mf3cBV0xeBw98AGfHAtU1Atw8AB6/CN9BgiHTOfgMB53rF3s/Ru0fx8fGPtevT/acXEmxpcOiVV17Riog0YDRu3DjhsCU3KmVsf/vtt+I4mg3w8ssvw9j4yeUhikEYWW+kWK7HXxfi7faQ7UjLTYNKrcLeeyegavgGfjifhxOqBhgXHP9Uou3Vq1dFFELB56m5uTk++OADIeJqZi3QpZeXl1iKgt6TKd/2QVG3oLC7vEcq2nsvxkXVPrycNB7hZ+5qr5+amopr166JpTSeKyTa2dvbaxcHB4dC65rF0dER7dq1g5lZ0ZnOTOWFnbYMwzBM1SUvB1DlAgpL4J8xktOWmHwAqFn1hAaGYcqR7DRgyzTg+n+6bfQj/bnFIss2O0+JM6EJOHgjVgi1JNpqGNXCHd8ML1zFentAFBrXtIW7gzR9WKVSIyQuDefCEnE+XFr83e3ww6gmha7X/8ejuHYvRbStTY3RpJYdBtjfRY0G7dHEwwlWpo/+EX87JhXzF3yLRYofpQ3tXsVMeRIO3z0sVv977j9RcbyqQM62yZMna6cia5yiJIxQhi1Tcn7++We8+uqrok1T8RcsWKDvLlUKsrKysG3bNiHUbt++Hbm5usEdDZR5SkLtyJEjxZTzB6Hn9xtvvIHNmzcXEqDouf/FF19or/P8judFUTDirz5/lXwQ5/xyIPw40HYGUP3xGaifn/pcRBEQ33T8Bv28+kGfZORmoMf6HkjNTYWp3BT7hu+DnZmdtPPwPOBgvojr3Q1wbQj0mvtEt3859jKm7JmijSUgkfiD1h+I/wHFsFD0ComzGigegfKhrayshA5D++j1RMK7Bsoo/u6779CvX7+SieuPIDo9Gj02SIUzGzg2wM9dlqPF5/vEOn1O/TezwxPpRyQqL1y4sFB8wHPPPSfyrks9JkClhOrrWpDlpCEOdnhB/j3aqq495NYt+Ng9KLw+ToDVbCc9jAZGmKpJSgm1URZtGYZhmKrL6d+hPvodopvOQjUbc2D769J2ctp2/wiVhvtXAZf67B5mGEMhIQRY8zwQo5lKaiQcV9H+M3AgKE44ao/djhMO2KJoWssOm6e3f+K7zVOqYCzXvQ+kZeeh8ae7hUO3KMi961vNRuTiTnG5gVo2RkDDYYWO+fVwMGz2voGxxgfFuur59eh47jOk5KTA3tQeh0cdfmYBoCJAv23efvtt/P7779pt5IgiAYsER/5h/nQuUMqXJHGERI579+5xBvBTQmLX4cOHRU7txo0bxW/yB6lXr54QailP2Nv70c7Wgvm2VDSuYEaonZ0d/ve//2HatGnYGb5TO32/j0cfzOs8D6UNRSN0W98NCVkJQiCl9xx9Om01UDGyVddXifYbzd/A+IbjpR2ZicAPDYGcNN3BQ34H/HUu2UdBOcHjdo1DMsXpAOhZuyfmdZoHuUwupv2T85nc0xro/zN//vyH3oPCwsJEtjaJuQXp3r07vv/+e+F0fxZIVHY0d0R7t/YY6D0QfRYcwY37qSLp4dJHvWBr8egZByRTUVwHuWgLRnLQc5MK4ZG4XCZEBQC/dZTa9Qcjb9hfhT43NX2Li4sTkSD0fOf3d6YstVH+9cYwDMNUXZfbkW9hlBaNakc/wLenM6Em4YQI2olKQ3oc1L91RMbXPri5rhIJ0QxTUbm9D/i9i06wNbUBxq4FOr2Flafu4L1NV7AnMLqQYCuXGaG1pwPe7euLPXM6YdO0dk911w/+8DQzlmHjtHb4sL8f+jasBmfrwoIYibmBUSk4f/owahx4FdgwETj0tYh1iE/LFhEMewOjcU3tidMqX6hMLBFi5yYEW6KJS5MqIdju2LEDDRs2LCTYdurUCQEBAXj99df5B/1TQk604cOHizZlRm7ZskXfXapQkLB08eJFIXpRBieJccuWLSsk2FIm7Zw5c3Du3DlRsOqjjz4qsWBL9OzZUzzPSeSjrE+Ccj1JKKSIC7MIMziYOYjt+8L3ITaj+CJRT8v56PNCsCU61tBvNEJByP2qgVzAFBUgoIJiLSYUPjhwixSX8xjup9/Hy3tf1gq2rau1xtcdvxaCbUxMDLp166YVbElQJHGTHKpFvQeRQ5VE0ZMnTwpntQbKTKXM7UmTJhUSS5+UP3r9IfpGgi3R1ttRXNJpngqVoiyKg6IHunbtKgYRNH2gQTAaDKCYhDITbIk7p8VFlFyOj0wysen2BlFwrSD0uUZucoos4Pd3pqxh0ZZhGIapmpxaDKRLPx62Kdtg0V1PxNrm5+XFXAMSpXzGCk/QThipVbDIicf+gFAcOX8F+HemEHMZhiln4m5BvXoEkCX94M6x9wGmHADq9hbrXX1dtIc6WiowtFkN/Dy2KS581BNrX2mLqZ29UdfVutSEUBJxm9ayx+SOXlj8QnOceb87jr7dFT+M8scLbWrBtxrdFzBQfhLyvAzpSoe+AjZOwoEr4Xjul+MidmG1sgfet/0GsndCcSFBV4immUszVGZISKSMSJp6fPfuXW2xpl9++QUHDx7kYjGlAAlHGv7880+99qWiQNEF5PBu0KCBEE5JUCWXsgYSV8mNuWfPHvG8JRcmZdE+7fsKZTTT4AQV3KPb1UA5xL269YLsqiQ55KnzsOHWBpQ21O8Wri1gBCP08nh8Dnd54WHrgbbVJTH0btpdHI88rtvZbhZgUwOQmQDdPgJGrSq22FhBLsVeQmym9N3Vz8EPC7ougEKuEIJ7mzZttAX76H3ov//+08aLPAq6HhVNXLduHTw9PbWCP0W60HvY3LlzkZGR//7/DHSpKccQ2VEsNPkZURd3F3kM5cXSIAPl75IzXAPlKQcGBopBhTLPdI04KS4umZliS8oNzD01F9tCtpXtfTLMI+B4BIZhGKbqkR4P/NgEyE5BnlqGnjnzEKqujunyf/G2iZSJhj7fAG2mosLz9yjg5i7RnJc7EjMU22ChzgD8xwBDftV37xim0kNftWlK6AEqInYjBj0jf8ErxtuwR9kc97svxLguuuJKSpUavxy8jY51nOBf0w4yyifQM6lZubgRlYKWkSuBfZ9qC6ZFmPthWOJMxMJerL/SyQvv9fPD+0ffx9YQqdr7qn6r4O/8bFNsDZVNmzZh+vTpiI6OLuQ6JLdtqWcsVmEon7Nu3boIDg4W6yEhIVphidFBhZVIdKOcWhLgihJW+/btK5yLAwcOFAWcygpybpJYeP78eem+HUxQ97u6MJIZwcnMCXtG7IEJiZWlDLl4rRXWMDM2nEJNByIOYPbB2aLdqWYn/NL9l8J1FSiT1sz2iW5zf8R+/HLpF/zR8w8RP0DO2GHDhgl9hahRo4bILCbh80mhKBIqKPf5559rb09zm19++SVeeOEF4eB9GjIub4bFZiki4oDtEHSb81ehz8m1a9eKnOSCAwxUTIzcwjQwVl6o59eHUUokvnFyxipr6XWyqPsiUeCOYUoTjkdgGIZhmOI4Nl8ItsQ6ZRch2M7q5oO9qgIFMjRFySoy2WlQB0s5k9FqO3Gu5qb5P5Qu/yNVZWYYpsxITU7AzEVb0HfhUczbHYRz4Yn4Jm80Xs+Zildy5+BwWFah4ykGYVb3OsL9agiCLWFtZoKWno5Ah9eA0auB/KnHtTKvY4/Vp+hhd18UOCO3rqaKO0HZkvUdKl/hLZqCTMWZSCTRCLb0o4tcabt372bBtpQhgaig25YeZ0YnsJHQRSIsxRzQIMKDgm2HDh2wePFiMcX833//Fc/dshRsCZpqf+bMGfzxxx9wcnJCbkIuUi+min1xWXGYt3meEOlKG2cLZ4MSbDVCbS3rWujn2Q+TG00uvNNY8cSCLdG9VnesH7BeCLZLlixBnz59tAIrCbWnT59+KsGWoMxocrrevn0bM2fO1E79j4yMFC7qli1b4tChQ090m+m56Th05xDSajWGykgqbNlNflm7nxy0FN0xZswYrWBLbloqPkYxCeUp2CLpjhBsiVMKK+3mRk66wVWGKW/YacswDMNULZLvAj82A5TZyFKboHP2D5A5GWPXzIEYuPAMVqa/gtqyGKhlxjB6Kxgwz6/2WxG5tgVYL01VXJnXA3Gdv8Ic+2PAtjnSfkcfYNoJwJgLuzDME6NSAekx0ntKUoR0mXwnf/0O1MkRMMpKRqTaEe2zf9JezdvZEl3ruaCbrwtaeDhAYVzBPBT3rwB/jwZSpDgAwciVQP1BhSqGU5V4qhZfWdAUxaGsTnI1aiDB7Ndff4Wbm5te+1eZISHH3d1duG7J8UcV3Kt6jiQJXSNGjBCXD0KxCOSoJRFM34MIVEzuk08+wV8H/0LtN2uLbcmnk9EgtIHIWiUXdWUnV5X71M5iysENiA0Q+eCFtqtU+OCDD/D1119rtw0YMEC8R1lZ6cTGZ4UKzFGBxa1bpdkTBeMKvv3228f+/7YGb8XHxz8W0RgftP4Ao0+uAMKlgYW0iUfxv59X4YcffkBeXl6h99QFCxYIl225c2WDiP/JBdCydm0oZWohum8fur38+8JUelLYacswDMMwRUBFdJTZovmXsg+iYQ+LmmvQf0sfuNQ+gt2qpmKfkSpPKhhUkbmxDckyI0yu5oJVtlZoUDsPaDYeqNlK2h9/Gzi2QN+9ZBjDJC8biA8GQg4DF1cBqbpp8IKrG4Hv6wF/dgc2TAD2fgSc+V1y6UdfEYItUQ0JcDQzwqcD6+PIW12x/40u+HBAfbTzcap4gi1RrZGUw1uzpW7buhdFTrgaaoz1HSuyFiljsrJALjMSKUgI0wi2VIDm77//Fu5FFmzLFnp8NW47+l+Qo7kqQxEI5HgsKNiSmP3WW2/h0qVLIkv2vffe07tgqykmR9Pbj60+BtObpgj/MRx3fruDXbt2ieJ977zzjsgxfRryVHm4GHNRV+DLQHlawZYGir4/9z3G7RyH1ddXa7dnZmZi9OjRhQRbGkyiQn2lKdgSvr6+IhuXIhgKunfpfY8GB2bPnl1oEOtBfOx8hGBLnLh3AvCRBvWIryf3wLx587SCLcWe0H3RohfBtkCe7U2FQgi2RCNndtky+oWdtgzDMEzVIfYmsKg1oFYhRW2BjtkLIHeKQa6zVPG7pkVdmF1oj5HyI8ir0xsvjnkJUFigQpKXA/U8b+w0zsM7Lk5iUx+PPmL6YFbKPXx0bAWM1EpAbgpMPwk4lrxaNMNUGuhrcNDOfJdshHDIah2zaQ+ItGPXaQuGCcJPAsv6FH2zMmPcUzngjsoRUWonuI39Ca39KlkOZ24W8N9M4IpUqRxD/wAaj9Tupp8YpVUwTV+Qm23ZsmUiZ7FgviNNMafcRxcXXeE4pmwhIYeEc2LIkCEiU7iqkZWVhddeew2//fabdlujRo2EK7Fz584G7z6m94T169eL15OmcB9RvXp14dqkQZEnec84HXUak/dMhouFC15t+iqe83kOlYmlV5fih/M/iLbMSIbNgzbDKsdKvA40BccoPoQcyxRlUNYolUqsWLFCOHwpbkODnZ0dPv74Y8yYMQMKhaLQdUhQ77quKxKyEmBlYoWVHm/DZ4+Ua7v9Zi4G/JMpIhneffddIeCXdXTH41AtHwxZ6CGstrbG105SXvu7rd7F837P67VfTOWEnbYMwzAM8yBHvhWCLfFr3kAkwwrONU9od09vOhnXZH54L28KfrtfD2oT/X55fCbCjsIoOwWHLHTnsCtsF1YGrsT6uwfwDbpJG8l1THEJ5TuGyzCGAQkEm6cCO98CTvwEBG4BIs89LNgSJOQWxMETqNMbaDEJ6PEpMGwJMHEPMCcQRh/GwOi1AHzmOA9ZAxdVPsGWMDGThNqRK4DBi4BGIwrtruiCLYki7dq1w+TJk7WCraurKzZu3ChyRFmwLV/69esnxD2CpmoXLABXFaBCbPR8LCjYTpgwQTxPu3XrZvCCreY9gQY8aMr9hx9+KMQ6ggTAF198ER07dsTFixdLfHu7wyTHdUxGjMFl2RZFVl4Wttzegk9OfPLYY+k4jWBLfNzmY2Tdy0Lr1q21gq2lpaUYzCgPwZag5xg9527evCkiLywsJFNDUlISXn/9ddSvX1+8Pxb0BJLY3Lpaa9FOy01Ds0kv4V6G9Fzt5mOBvs+NELm1n376qd4FWyKw+3J0yF6AP010ruLGTo312ieGYdGWYRiGqTr0/goZTSfjrtoJy5S9YW0biXvZV8UuDxsP9PXqifpeCZBbBuFuYiZC4tJRYbmxTWRyHcv/Emwms8R0/+n5O9VYaWcqHgdB6GEgYJ3++sow+sS25sPbrKpJ0/8bDAHazQL6zgNqdyh8jHU14Pl1wID5QIc5QKPhQK3WgG0NQCaHm505/p3RHmNa1UKlhYTZ+oOBps9L7UrAnTt3hOOPiilRQR8N48aNE9PRhw4dqtf+VVWMjY1FISSCplOT46+qQNPemzdvrhU0qUgTFWSjRSOcVSRIbJw7dy4uXrmIQYMGabdTETU6z2nTpj1yyr0mGmFfuBRhZSY3Q6canWDozNw/Ex8d/wibbm3CtbhrxR5HRbs+PfGpdp1cxHZ37IRoHxYWpo3DOHbsWPkW6cqHIhhIZCXxdvz48doBOhpYGD58ODp16oSzZ8+KbSTgmtzTxUOY+5pjf0I1qS3LxZuThsDb23Bmel24k4S7ahdEm2Vooy3qOdTTd7eYKg6LtgzDMEzVwcoZ5oO+Q8ioQ2jk4QZ3T8mtQNDUp94beyPY+GuYuUoFFw4HxaLCYm6Pk5ZOSJVLH/Xta3TAi/VfhK2pVKnYyPYK3sYw3fG73wfyMzgZplJC7p9D3wAxNwpv7/i65BQd9x8w6yLwYQzwZhAweR8w4i+g11yg9cuAi+8jbz49Ow9KVWHHeoXMrH1K4jLjhOOtopKeni7cY/Xq1RNZtRrIPUYZqsuXL4eDg4Ne+1jVmThxorb9559/FnL0VUZyc3Px5ptvijgIjdu7Tp06YjCBHI8VlaN3j2L6vul499q7QpDeuXOntqAV/U+psB+d56JFi8SU/KI4F30OidmJot2xZkdYmBi+eN3Xs6+2vSZoTZHHXIi+gDcPvwklxVdRKo/vWMjOytCnTx/tc6Bp06biOVAwY1YfkHBM8THnz59H165dtdtJTG7VqhVeeOEF9OrVC9/O+Fa7z7qhNbKqS85bwijYsGpHnA9PBGQZkJtK3/99HXyhkBeOfGCY8qbqfJNkGIZhmPzpeZ3qu+Or0S64ky05AVzMXTC0zlBRIZaQmcbBRhGO3Iv/ANter5jRAd0/xqnOL2tXe3p0hZXCCi/Vl5xKRkZqXHC4j53KlkiWOwD9vgVMOWueqcSEHQUOfQksagPs07mYhEOWnKJenQEHL8BYmrL7JOQpVZi66jxeWXkeadm6KthViXVB69B9fXf02dgHl2IuoSLl1q5atUqItf/73/9EkR9NobFffvkFly9fFsIDo39IyOvSpYtok8uPxKHKCmW+khD2/fffa7eNGDEC586dQ+PGjSt8VuvRyKMISQ7BqahTQpCk4mmUa6sppJWYmCgyUimzd+zYsSICgHJTKb+XXNZ/HP5De3tt7dsKgdvQ6efVD9Ym1qK9M3QnkrKSCu2/mXgTMw/MRHZ+sdy+Hn2RvCUZUyZP0RbrGjhwII4cOSIEU0OBRGQqVEbFyTTiu6Zg3r59+5CXmCeiHQhLH0sMf/0zKNWSO9cz8YRBDb4I0ZaSw+L6oqt7V3Ss0VHfXWIYGOu7AwzDMAxTptCXwewUwExymBb80aBhXINxYiS9i3sX4d4gRjuvwCvx1wGaoddyEuDaABUJ+hJ8+O4R0ZYbydGhhjS1e6zfWCwPXI7k7GSY2F7CB/FTkJfuil9MO6FjJZnezDBFQi5bgRpwKd3X8/+2BeLorTjRfmXlOaye3AblSU5Ojsg5pB/IBw4cQHZ2tph2TDmR5VVBnqq4E5FpkaLgYUWAHjMq7FQwBoGm4WsEInt7qRANYzhQxvChQ4dEe8mSJSIHtbKxd+9eIVTGxUnvKSYmJkK8pedlRc+KJsb4jtF+11pzYw3aurUVBazeeustEU1CRalWrlwp9l+/fl0shZABvgt8YWxjDFW2CqNajYI6Rw1ra2vhhtcsNPBScL24RZOtW9aYG5tjsM9grLq+SgizlFs7vqFUlOte2j1M2zsNqTmpYr21a2uELgrFhnUbtNefPXu2eB4YYn4xPS/pM6dv377CKU3xCQkJCWJf7dq10dWjK07mnIQKKlxIvQXYDG4iKr4AANu5SURBVML5BFMcVjXB99Gp8K2mZ9OAMhc5ywbhxVR7HEFj5FoNwY/d2uq3TwyTD4u2DMMwTOUm8F9g62yo2s+BjKY4KywQlRaFHSE7xG4bhQ2G1x0u2iTafnfuO9EOcrWRBFuxsqPCibahKaGISI0Q7aYuTbWxCJYmlhjfYDwWXlgIGKmR4XQWWfdG4ZP/rmHX7E5Vajo3U4UIOwaE57vyHOsADYciIzejVKbUrjgZhhUnw0VbIZfhtR46p1FZDspcvXpViDsk1B4+fBgZGVIGnwZy5JHwSFXlKY+VsgYfVZ34WaB8ycuxl0WbKrm7WbrB0HNrSRgqGINADBgwAN99951w3TKGCWUKa6ptr1u3DgsXLhTrlQGKAqCsV3J8a9yHtWrVEudJBagqC11rdRUznGIyY3Do7iHxnay6lVRkzs3NTThpX3nlFcyZM0ebjVoQS19LIdgSqZdThWAr2qmpYgkPl96PSwrlAmsE3GrVqolcXZreTwv1pzQZ7TtaiLbE2qC1wjRAxbooXiZTKbn869nWw5XPr+DM8TNiXSaTied5eRUcexZogOHVV18V0QhUNI8Ecfpfno0/i5MHTopjTt47ieqtP8OibYFi/cTteP2LtlEBUNw9gVeMAVdlIoJqP6ff/jBMAVi0ZRiGYSovyjzgwFwgKwmy/Z/gywtytO87GqeSViBPnad1fJCQSdS2qQ1PW0+EJofiUmY0EmUy2KtUQNBOoNNbqBBkJCAnT4V9YQe1m0iMLgid8/Jry5GUnQQTm0vIjuuGkFhg6fFQTO3sDSSGAfbl485jmHLhsMZlC+m1LJPjjQNvID4zXgza9PPsJ+JDnpQjN2Px2Vbphyfx5dBGaOnhUGZCIwm0tNBU1Ojo6BJdjwRdWugHP2VjkoDbo0ePUnVrBSUGITNPEhyauTQzWDcg5dbSFOx58+ZpYxCIBg0aYP78+RyDUAGgCvMkCFF0Bf0P//nnH0ydOhUVnZiYGOEypde3BioyRQJmZctSpuJOI+qNwC+XfoFKrcK6m+swu9nsQse0b98eZ86cQVJSknBsFlw2pW3CdUju2ybmTeA/wP+hYzRxAiWBBrxooUiKgIAA7NmzR7uPRFuNgNuyZUu0aNECdnZ2T33u9D2znVs7nLh3AnfT7uJ45HGRydvYuTGW91mOjw9+jFMfnEJYoFRwjOIi1qxZo5eCY88CzVKggTENLUxaiP+7l60X3K3d0drRUbvvRHAcJnbwhF65o6tx0bhtHzRuXkSBUobRE0bqcg4RSUlJ0Y6OltVoP8MwDMMIzi8Hts4SzQtG9TE08wMhJvw7qwmO3N+Mzbc3Y/3A9XAw0/0gmn9+PpZdXSbaX2SbY9C9IGnHG0FStXhD58g8qA5+heGutXDLXCpksW3INvFDoSB/XvlTctuSSy65KTLvjYKHIhm76m6DWdgBYMYpFm6ZykH4SWBZH6lNmbUzzuJeZozIXlVTVEL+tFUSbknAbeDYoESi4+2YNAxZdBypWZI4QAMe7/Z9dLGyJ4HECpoGTiIOOWopw7M4qlevLoRYWrp37y4ce5QnSMWzgoKCijyehC8ScBs2bPjMfV19fTW+PvO1aL/X6j0Rw2JoubXkqiURITIyUrudpk+Tq/Hll18WsQhMxeDSpUsiR5MgVyS5yisylM07atQo3Lt3T+us/OKLL/D222+LdmWEnKU9N/QULn17U3vsHbEXpvLHxxTkqnLRbV03MehM79uHRx0WlwUheSMtLe0hIfdxS3x8vIiWeRzkxNeIuHTp7+8PMzOzEp/7gYgDmH1QEqk71eyEX7r/Itr0Xk8zIjQFxyi3dvv27eL2KwMpOSlidhuhUqnR8ot9iE/PgbWpMS5+3BPG+YVz9cLaF4DrW5EsM8LdUctR16cfTOQm+usPUyVIKaE2yqItwzAMUznJzQR+bAakSj+ChmZ/igvquujbsBoWv9BcbKMfC8Yy44dyGcftHCfaPcxr4ofAE9KOgQuB5lL2mEHzW2cg6hJi5TL0M5mApo1N8Xu/rx46LD03XYhWlHfrhgE4cdEP39luwPDsTdIBPj2B59dTUFn5nwPDlCYrBgMhUgYmnlsMNBmLa3HXMPfUXFyLv/bQ4fXs6wnxtr9Xf1grpKIxD5KYnoPnFh1HeLwUSdCrvit+faE5ZLKnf72QWHDy5Emtm5amBZPYWBTkvqIiRRqh1s/Pr0ihmb7m0+2QW48ciZqMwYI0a9ZMiLdjxoyBi4vLU/X9jUNvYE+45E5bN2Ad/Bz9YCjQY0q5teTa08C5tRUfEmsvXLgg2hcvXkSTJk1Q0aDXJ8VxvPfee2KghaDp+eSspFiTys7bh9/GzrCdov1lhy8x0HvgY69Defw/nP8B+yP2o3X11viusxRpVVqQ25beM+n9gi5pIf3icZEAVByuoCPX19e32NkMSpUSfTf1RVR6lPgORgPru9buwrRp07QOYRqU2Lp1q0EVHCttXl19DiFXT6Gz7DIGDXsBvs309JwnOey7OkB6LHbYOeEdewsoZAq83/p9DKs7TD99YqoEKSzaMgzDMFWa4wuBvR+L5lF5S7yYPke0t87sgEY1i8+/oy/TXdd1RWJ2IoxUxjgbEQJT+qSs2wcYuxYGTdIdYIHkmruq8sBQ5dfCvWBpWrSD7GrcVXjbeSMnxxhbA+5hjL895Itaa4VujPgLaDCkPM+AYUqXiNPAUmnK+zknD9SddAg25jqR7nr8dWy8tRHbQraJgYyCmMnN0MezDz5u+7GY1qmB4kdeXHIap0MlAdSvug02TG1b7OusOEiQpYrpGpGWKoI/mEtbUGRs06aNVqQlYYCEgicVhXfs2CEE3G3btj00fZjug4rIkIBL2a4ldY7RT4nu67sjNjNWRM0cG33socEwfUBxEu+8844QqwvCubWVg8WLF2P69OmiTQL8Tz/9hIpEYmIixo8fj//++0+7rUuXLuL5SsJtVaDgIHljp8ZY3X91ia9Ljlsq2lVwplRZQO/TNMtBI+TSQk5vKv74KGhgjaIUCjpy3d3dtYNrmtlOfT36QrlHiflfztded+DAgWJmAN1GZebYv3+gw8U3RftizRfRdPLP+ulIfDDwUzPR/MbLH6vUiaK9uMdibRFfhikLWLRlmFKAnqd//fWXaLu6uhZaKF/KUDPbGKbKk5kELPQXWbZqGKF39te4qXZHhzoOWDXp8dVgPzz2If4N/le0v4zKwMCsOMDYDHg7BFBI+bcGyalfgV3viOb3ucNxyetlrJz0hMVLAv8D1r0ota2qATPPAGaVo8gLUwVZORQI3o90IyP08q4DpUyO5/2ex6tNXy10GBUl2x22GxtubkBAXIB2O+WzLu+7vNCxP+2/he/3SlEFTlam+G9me7jZFZ6eWxwRERHauAPKpY2NjS32WMpZ7dmzpxBpO3XqJCqjlxZUlZ7cfCTgFlXohzIbR48eLQRcEosf9X3nbupd4RojKKvxt56/QZ9wbm3VgOJDKG+U/sf0fKVoAcq7rQicP38eI0aMQGhoqHbb+++/j88++6xKxXSQDDFi6wiRiU2s6b8GDZwMv+grDYDRgJtGxKXlxo0b2uJxxUG/HzUCbsMWDfFH2h+ITI7Era9vITNYeq+aPXs2vv/++1LNHDdE6HMDqSq4/e4PGVRQOftCNuO0fjpzcTXwrzQA9JynP4IhibY0AKkp4ssw+tRGq86nAsM8IZR51qdPH1GduSjI4ULTCB8Uc4taKDOtsmZSMYxBcuJHIdgS+0y64maWO2CUhxibL7HwQg8h2jiZOxV79a7uXXE08iiS4nxwK+c+fXUD8rKkKda+BlwM4sY2bXO3qiVG13uKqc5+AyVX8c1dQNp94MDnQL95pdtPhikPslKA5LuiucHFHSnKLEAJ3E+n13RhLEwsMKTOELEEJQQJ8ZbctxST8FBWotVmtKtfC+du2uCPcc0fK9hS3ubSpUuFWHvr1q1ijyMBSiPSUi4t5c6WFU5OTsKdSEtgYCBWrlwpFk3eKwliv/76q1jq1KkjxFvKwPXw8CjSLaehqYuUM6oPyBFHOb6UW6vJBiU4t7ZyQkItCZ808EDP182bN2PsWMPKUn4Qev+g1xTFdWicmmQCoddev379UNWgwSAqjPrpyU/FAJmmQKyhY2pqKly0tGjc3iS+kBivEXFpMIzc/gWh4pE0y4EWDUbGRlDnqcXvxB9//BEzZsxAZWbjzY1YcnUJ7qTewT/9/0HNms2Bu2chi70hfV7b1tRbEbJcACGqZEAmFYxjwZYxFNhpyzBFQKOlvXv3Fo6Y0oBGS52dnUsk8NJxlX10lWHKlNT7wI9NgdwMqGQm6JT5He6qneHtdQ0xpivFIT1r98T8LrqpaA9CWbcyIxneXB+AhEvb8JciX7Rs+gIwWCoYYXBkJADzfHBJIcdaCyesS3kZu16ZgDouJatyfC/tnpiu90L9F5AVmQGv9d1gpqaCHEbAlP1ADSkHmGEqFColcq5uRN+rCxGTK+US/jv4X3jZeT32qpl5mSJvUCFXaLediTqDSXsmiXZNSw+MrT8Sg7wHFfvjjorIDB48WJtXWRByzlIurUaopen6TzODh1zCVIW8rn3dQtsvRF/A3vC9sDezh52pnVioTX2lwj+0XrDQCvXx4MGDQgTbuHFjkVENNH2bBNxhw4Zpv8f/dfUv/HzpZ2Qrs/Fnrz9FzqSh5Na++uqr+Oijjzi3tpJCkSKa7Fd6LR04cACGChXGeuWVV8S0dw2tW7fGunXrUKtWLVRV6H02IiUC9RweH1dC72kU6VRRxLSoqChtLq5GzKUBhgehGIS1a9dWCeF+XdA6kSdPzGo6C1MS4oFDX+m1doT655YwiruJiwozjKshmR0GeA3AVx0frgfBMKUJO20Z5ik5deoU+vfvry3W4enpKb7w0zqNkD64xMTEFPljrCC0//79+2J5HDTSSkVByOVL2XL0hY5FXIZ5Ao7/KARbYrtpP9zNcCblBmrbg0CWdMhLDV565E1o8hg713XG2xca4KSyPrJrd0aXdhNgsATtBNRK7LK0wTZbY1jYLUVwhh/qoM9jr3o88jhmHpgpxOqgmDicONUbU2RD8b4JZUGqga2zgSmHADl/bWAqGDI5tprJtYJtN/duJRJsiQcrkhP/BevyJ++mh+Hbs99iwfkF6OnRE8PrDEdz1+Za4fX48ePCCaj5jkAzdNq2bavNpaVpsiV1fqrUKuEQDk0ORVhKmPYyLDkM0RnR4pgzz58p1OcrcVew6vqqR94uZdDWd6yPpb2Xiu8amr4Ne38YDp0+hDOHz+DyqcvIS82DMk2Jw8cO49ChQ8INNnToUCHgvtj9RTF7ITAhUBRxM5TcWppiXLduYSGbqVx07NhROMHJwU4DDrdv34aPjw8MjWvXrmH48OHCFKJh1qxZIsJDodANClVF6D2rJIItZdjOOjgL6Tnp6FqrK77v/L3Bx9TRbIlBgwaJhSCvHD1HC4q49L5LecwVsZDe09DWTRdRdjLqJKY0mKETbW/tLX/RNj1eCLbEHgXNbpE+rxs7Ny7ffjDMI+BfXwxTACrQQV+qNBlo9AG6c+fORxYEoOl4xQm6tJBQW1Dgzc2lyRd45O3RVEpaPv/8c+EOIRcOCbgk5FaV4gQM89R0fgswNkXOuRX4NFESLGu7hyA2S5om3bJaS/g7+5fopjrWcUaOkQJjcj+Eb5o1ujgbcOGaG9tIXsUhC0m0MYIc7d3al+iqNKXZysQKSdlJuJp0GDbWLbE0pS+GyI/DTxYB3L8CnPkNaFu5p+0xlQ8qLLjs2jLt+uRGk5/4NuLSsvHOhgB8OqgBPmzzoXCSUnzChRipcn2OKgfbQ7aLxcPGQ0Qq1MmtI4RDzfeJUaNG4c8//3xsYRn6UV9QiCAH2pxDc8RlFsU7PILwlHD4Ovhq1xOzpFy+R0HF17Io+uUBNoVuwgVcADoDnp09C+1TZiqhTFXiZNpJ7PhyB8wnmIvvKDRd3cLCApaWloWWR22jDNKniY/i3FqGoNfK5MmThXBPUAzJl19+CUOCog+mTp2qda6Tw37JkiViQIcpOWejziI5O1m0aQaEoQu2RUF9pkEGWgw9yqOscLd2FwvFI1C0TkaXejA1c4A8KwHZNw/AVJkLFJgBUuYoLHC61Y+4fGI3DpvGUIiFtjAewxgKLNoyTD7Lly/HpEmTtI6Ybt26iXysx8V40I8NyoajhX4sPO7HGFWLLU7gpYWKEtCIvAY6nqZO0aIRkunHES1UHORJq0czTKWHKsP3+AQ3fabCb18Yjt2OhZnzYSD/d/2khtLU5pLgYKlAg5omuJ4YgBv3/XA/OQvVbEtWUb1cyUkHgg/gtokJIk2kj/a6tv6wVpSscBHleY5vMB4LLiygchCo73sap8/0xfu5k7DR9FPISA6OPF/GJ8EwpUTsTSAvE6juj70Re4WYSbSu1hqNnBs90U1l5ykxdeV5nAtPxKU7SVg2oSUGeg8US0hSCDbc2iDctxoxgdyv3537Dllns7TTYElApMgBjaOOhGSKIwlNCRVOWeGYzXfN0utwXAOpmjphZ2aHm4mSC6goaJowCcW0KGSFHXvkfu3s3hlJWUliQCYxO1FcatbFtqxE1LR+OEOQ9hWH3FwuFoWLAinnU0R+LIlQT0tBUbckoi8JH5QL+mBu7dy5czFlyhTOra1ikNubinjR93cqHkz5xYbwHMjKyhJu2j/++EO7rXHjxli/fj07wB/xO+n0/dOwNLZ86L16d/hubbu3R2899I4pLdpWbytEW5rddS72AnLzGqE7DsNUlYGM4OOwqNul/DpjYo4duc2xPM8JlmbzKM5WfJY+GDfEMPpE/59oDGMAXxDIqaEZpSdGjhwpfmBR0HxpQj80qOAALX5+fsUeRz9Edu/eLVy+VGG6YP7RpUuXxPLVV1+JDBSaxqhx4daoUaNU+8swFZmGHq5YNdkVfwfsw1cXpeI/5EKj6uYl5fNTnyPCaj0srFRIu/UujtyMxciW7jDIHN9qjXA4VarATAzw6f5EN0HFQJZfWy6EneupR1DPvTMu3qmDn/KGoFGzdug25MkdigyjF/Z9AgTtgLpOHyy1lIr9EJMalXzARvP94L1NV4RgSxjLjeBirRu0oZiFt1u+jdnNZmNf+D5svLURZ++fFfsid0kFvahKOOXDbgrZhFNRp4QwG5EaIab6FgUJuQWxUdjA1cJVDKwIcdbWA542nuKS1imjtjicLZzF8jS80/IdEbugEXtJlCaBt6DYS9sa+TTCUeOjyMt7+gJC5ECkJTY29omvy7m1DM1AGzhwILZs2SIyROm7M63rk+DgYDFzj76vayBjCE2DJ3c58zAU//LK3lcQkhwiZgn92vNX7T56v9wfsV8bp9ChRgc99pQpjYiEdTclM9LJeyfhU6MzEH5YrMdc2AaP8hRtAZyPSATk6ZAp4sW6n6Nfobx3htE3LNoyVRqKInjjjTewYMEC7TaqpLxw4cKnmq5XWlAF6QkTJoiFfgidPn1afAndtWuXqEyqgUKr6ccgLUSjRo20Am779u2rfE4WU8XITALMHy66deD+Gm2bXLZPMqXO0dwRaqhE29g6EMFXTID0vwH/UYD9w1XU9YajNzB5Hw5tHQUkBIpN3Wt3faKbEG7bhuPxw/kfoIYatb1PIOhOD/yQNxzWl41xoGcOnK1LdyCLYUqdqMtCsCVOxF/B9TwpE55yW9tUb/NEN/Xr4RBsuiCJr2YmMvw5rmWRTntTuSn6e/VHJ+dO6DykM+4o7iAzOBO+vr6iEBlFIlCUgkZ0KA4HM4eH3LLEnuF7RGHE8qRdjccPbpFjWPWiCmmfpCEsLExEFhRcSIgtybYHt1O7JHWSObeW0UARCSTaEhRDok/RdtOmTeL7OxWYIUikXbx4MV566dFZ+lUdZ3NnUcyQOH7vuJghUdumtrYApGY2Q5eaXWBmbIAznpgS06p6K/GZRlntJNq2aPwlVGFzITNSwyz8ULn2JSMnD9ejUiEzSYJcaQ+lPBGNnJ5sRg7DlDUs2jJVlpycHIwfP75Q8YovvvgC7733nkHlJJGLhARYWijjliIUyIVLAi5dagqmEVeuXBEL5bxRZlb37t21Im5VrkzLVAHCTwCrhgNtpwPtXgXMpMrCV+Ou4nTUadGmDK2etXs+0c12de+KRZcWiba37XG8F/EzEEFzpyyBdjNhSMRnxiMg4bpo+9j5iPN9UkbXGy0qwZOz7lT0fvRr1gs7LqiQmp2Hb3bdwHcjSpYFzDB64/C32ubfbt5Aepg2y/ZJPtt3X7uPb3frigbNH9kEjWoWX7E8Ozsbzz33HC4euCjWa9asKT6jKTqJIHcsYSIzQS3rWpJj1tZT656ly+Iqope3YFtS5DI56I8crqXpciXBlnJqHyX6ent7i6KtDEP07t1bzDaLjIwUAyXkuKUiUOUFPWdPnDghTB8Uf6CBBhQ2bNggTBXM499PRtUbhfnn54v1tUFrxUwGYncYRyNUJmgGSUOnhgiIDUBwcjBqd7TFEVVjJMIKN43a4B0atCuP3+JxtxF58TCqq+W4m+2Gvna/4PU+1YSYzDCGBIu2TJUkNTUVw4YNE9EDBLlqf//9dzF1ydBxdXUV+V20UH4XVSAlAZecuNTWuFPoHMl1oHEe1K9fXyvgUrXd0o5+YBi9Qc/5fZ8BuenAkXk4EG0Jlf9YdPdzwZIrupzFCQ0niB8FTwJVQq9mWU1M24u2SEaakRGs6P6CdhqcaHvk7hHhkCU61+z8VLfxoNtW4XQANmY9kJKVhw3n72JMq1ponnEciL8FdJhTymfAMM/I/auiIJ/Aujq+6rsU60L+xbHIY+heq+RxIVcjk/HamkvirYV4o2dd9GtUvABEn8UvvPACDhw4INYpAokE24KDpVScbIDXALhZuT3x+1BVg8R1yrGlRSN6M8zjDA5kxCDzBb0eqU7Fu+++Wy65tWvWrMGPP/6IixelARsNVHyQ8mzJRMGUjCE+Q/DLpV+E43bLrS2Y2WSmmKaumaVgYWyB9jVKVmCVMfxcWxJtiWuJ57DE9UsE3E0GEoBJ6TlwsiqH36nX/0Od45/hmCkwJ2camtdu8tSRQgxTlhjm0D3DlCExMTHo2rWrVrA1MzMTBccqgmD7IHK5XBQj+/TTT0WEArlwV69eLX48OjsX/tAJDAwU0wh79uwpflDS1LFFixaJwmcMU6G5uRu4c0o0cx3qYNoVH0xecQ6jfj8ppkTbm9rDydwJg7wHPZV4QFPxiDx1Hk4450ciRJwEMnQud72SEgW1SoXDd6U8MKKL+9PngZHblh4z4sCd3RjfxSJ/jxrpq8cBa58H9s8FoqQv2wxjMBzRuWzR/jXYWDoLh+1fff4qsVs1JiULU1acQ2auVJR0cBM3zOzmU+zxNFA6Y8YM4aYjSGgkpx8NlBaEfgi627izYMswZcTEiRO1bYpIKEnExtNy584dUfzM3d1dRCEUFGzp+zd9v6aZfCzYPhlUeLGvZ1/RTs1NxY7QHWK2VEqOFDVBhRU5GqFyoKkvQRnF8VnxaOvtqN13KkTKli1z7kgz8Qi7Om3Q0oNz0RnDhEVbpkoREhIiYgY0ubA0nW/fvn0YNOjJxRxDhL4ojh07FitXrsT9+/eF85aq6LZr165QRi9NL9y2bZv4oenl5YWWLVuKvK2CBc8YpkKgUgL7P9OubrSbiGyV9Fxv4+WEKY2nYPfw3fil+y8id/JpoIgEDYcc8912aiVwSxr40SsqFfBHVyTOa4AjYQfFJluF/TPlcZHbllzJBLmMW/sYw6+6DZq426Nuo1a689/2mvT4M4whEB0IBP4rta1cgeZPnh+ZlavElJXnEZWcJdabuNvhm2GNHxmrQIOmv/32m9btRxnzNJjKMEz5Qt9nKRZMUwjs8GHdQGZpQCLwkSNHRIExT09PURA4Li5Ou79FixbC4RsREYFp06YZVNRaRWK072hte82NNdgVuku73rs2RyNUFho5N8KSXktwbPQxTGw4Ee29dbMqjt+OL5/vzxGS4QMWjvhk/GDUdrQs+/tlmKeARVumykAVXEm8vH37tjZv7ujRo0LErYyQSEtfIKmi8vHjx0VVZprCRdPHqNJuQc6dO4fp06eL/C/NFE8q0sYwBs+V9UCMVHgrt1ozfHJTcsJaKOSY0M5DO4pPjtunpUW1FrA0kb7IHclLhLZGen6xI71y7yKQGgWbzHuYEmWJnIT26OA64JndfJQr92nbT7F9yHa0r9kWyye2xKZp7VCt7zuAUz3poMjzwLmlpXMeDFOKLtustjMAkyev0K6Qy9C5jvTD0c3WDL+Paw4zk+JfSz///LMYGNVAgg1FEDEMo7+CZAXdtqUBGR3otpo0aYLOnTuLgRmKYNAM1JBZ4uTJkzhz5oyILqMZfMzT08CxARo7NRbtoMQgKNVKNHRsKL6HcTRC5YHy3akgmUIuFd9s4WEPE7kRLJEJo6DtIm+2TIm7CWRJZqVdbr4Ys30svjj1BYISgsr2fhnmKWDRlqkSHDx4EJ06dRLxAYSfn58oGNCgQQNUFSgSgfK1li1bJgo1XLhwAV9++WWhQh6UzUXxCuRU8PHxwdy5c8UUMIYxSPKygYNfaFc3OkxCdp40HZKyV+0tH67C/jTQF0rNNK7kvHQcNbWTdtzeL/VBn9zYqg2oD0tvB0XyEHze+c1nvlly2w6rO0xkyREu1maQyYwAYwUw4Afdgfv/B6Tef+b7Y5hnIuYGcE3Kb4+0dkG38DX45sw3Iov6SaDn+Ou96mHh6Cb486WW4nlfHDT1edasWdp1KkBE4g3DMPqDigFqiuKRuJqYmPjUtxUeHo533nlHRCBMmTIFAQEBhepLfPLJJ8JVS9+byV3PztqycdsqVUr8M+Af7Bq6i6MRKjEWCmNMcLmNi6Yv48vsr5ByekXZ3iHFnOVzwcoaV+OvYk3QGlHUl2EMDRZtmUoPVXEl5wsV5iLatm2LY8eOiS9hVRVy4TZt2hTvvfeeiIogFzL9+CRhVwNl3X788ceoXbu2ePzWrVsnqmMzjMFw/i8gKUI08zy74otrUo6ziUkGYL8N0enSIE1pUDAiYY15DamRkwqEHYNeuS4VXVKqjbBP2Qyd6jrDWF7GH+0e7aHyf15qZ6cAu8q+2AvDPJKAtSJzmfjLuxlSc9Ow6voqbL61+alubnCTGqjvZlPsfioyRo46TWbmhx9+WEjAZRhGP5DL9cUXX9QaEf7+++8nuj69psnoMWTIEBG38O233yIhQZdf37p1ayHSklhL0Sg0Q40pfXp59IKDmfSbZG/4XiGkUd4tU3lRqVXwaNgWCiPJxW4RIUV+lUee7WVVhrbd0Llh2d4vwzwFLNoylZpffvlFuEtzcnLE+oABA0SGbUFxkgH8/f2FS+jevXtCnO3du7fWMUBfYOkHKj2Obm5umD17diG3AcPohexU4LBuOvRmh0lIzZaCCxrVv4p1t1eiz6Y+2B6yvVTurmONjpAbGUOd5Y6YbG/djqCd0BuxQUD8LdE8p66HeNiiWz2XMrmrsOQwkS1HnAlNwOjQvkgxyhe1rm0Gbu0rk/tlmBLR/WNgzBrEeXXG5rRgbSzKWL/HO18D7ibhbFjJiwpS0c9hw4YhL096v3n55ZcLRSQwDKNfChYWLmlEQnp6usimbty4Mbp164YtW7ZoY8JMTEyEEEzxB6dOnRKOeoWidGbyMEVDNQjIbTvQayBW9F0BR3NdkSqmckHf02cdmIVu67phWJfGQDUpGsM4OgBILT3zRXFO2xS1CQJTpFmlHjYesFEUP2DLMPqCRVumUkJCI2W5zpw5U+uEoequmzdvFpWdmaIxNTXFiBEjsGvXLjEtjH6IenhIuaAEuQ1+/PFHIfJSXi5Vx+XiZYxeOLsEyJAKgCj9nsM3l6UpczJZDu6rJQGRXvtNXJqUyt2Rw+PwqENoZ/4/3EwcjGy1sU60LcMK1Y/khuSy3WVpgcVWbpCZJKNzPcltXJp8e/ZbDP53ML48/SVuJdzGx/9exZkYGT7LLiCIbX8dyNE5FRimXKFBxnp98XfDHshWSjNCRtQdAVtT20deLSo5E5OXn8Pzf5zGhvN3H3s3169fR//+/YXAQwwdOlR8DvK0aIYxHEh4pQK7BM0koziwRxUofvPNN0Wdi6lTp+Lq1avafeSipe/BFBO2YsUK7W0y5cM0/2n4suOXomAVU3k5HXUaB+8cRHxWPC5EXwB8euh2Bh8omzulWK/EMNHcrvAA8t29jZ0lwZhhDA0WbZlKB7lfyPny+eefa7dRDMCSJUtEwQCmZFB8BAnfVIF3//79eP755wsVV6BYhRkzZogvtbSPi5cx5UqrKUC3jwBzB/znOAFxaZKbvrFfEFJzU0S7r2df1LDKjzIoBUgA6lLPBekwx25VS9xw7gP0+h+gVuk1GmG5rTXOu96Gpc9XUMukcy9NXMxdxLQ1NdT448rv+HSQlAW+UdURZ5GfC54UDhybD30RHp+OxYeCcSgoRjtQx1Qt0nLStG5wY5kxxtUf98jjM3LyMGXFOcSkZiNHqcK6s3egVBX/3CHhhmahxMdLeXddu3YV06Tl8mcr+scwTPkWJKPPiL1792LQoEGifsP3339fyIBARYupcC+ZF+h7MOXXMgxTNmhqRhAn750E6vTU7by9t2zuNOKUtnlYIRUfJRo58QABY5iwaMtUKjIzM8W0Rc0XNHK/0LR/KrjFTpinz7+lqWKrVq1CVFSUcBWRy1aDJjOMipd5e3sLVwJlfTFMmaKwBDq9Cbx+HWdTNdPm8pBkovuCN6HhhFK/2051pS93s3JfxQey2UDDYYBMD6JNciRw7wJi5TJcNTUVmxyMa8PZovSdtiPrjdRmy+0K2wUn+0QM8nejd1i8mz0eeUbGgO8AoPl4lDcXw+Px+ZJ1WPHD23DZPxvnVryP8Qu3YPe1+1A9QoBjKgnxUhQCsTZoLVJzpez6Qd6D4GpZvNBCz43X117G1UhpkMPdwRy/vtgcciq2V9TdxMcLwVZTmJMKeNL0aa4SzzCGyejRo7Uz62hwJSMjA2lpaeI7LBUh7tWrF7Zu3aod5KOZZuPHjxeGhOPHj4tIMIpFYBimbGldvTWMIH32now6CdRsBbWpFFGQd2s/oJJcsKWKwgrhtq2QpjbDdTPdd3h2dTOGCou2TKWBKsTSl7D//vtPrNOXrQerOzPPhp2dHaZNm4azZ8+KKWeUb1swHzgsLExU06VIBfqBu3btWi5expQtJmb4ckgj7JjVEYM7RCM+O0Zs7lyzM+ra1y31u6tpbwFvF0vITKNw8W4UkjNyoReCdoiLI+bm2k0da3Ypk7uyMLHAhAaSAE5u298CfsMH/f1gqZAjWF0DvbK/QUCHXwDbmigvzl6+ghNfD4T70ib48M4UfGS8CsPkR/GmyXosTZwAkzWj8Pl33+LQ9chy6xOjB8H25xbA8kHICj2KlYErxWb68ad5vhbH/L03sevafdG2NjXG0pdawsGy6IxKEnooEoGiEQhy5u3cuRM2Npx7xzCGCr0+SXglUlJSRGGxGjVqiBlimtcyQbEIZOygAZlly5aJARmGYcoPezN7+Dr4ivaNhBu4dD8KuzOldePsJCCy+HiTp6ZOD3xg/Tn8s/9AnFmaNke5LH43MExpwKItUym4e/cuOnbsiGPHpEruVlZW2LFjh/YLG1M0NxNvYu7JuVKG0BNCubYLFizQFi/r06dPoeJle/bsEU4HKl5GwjmJvAzzzGQWnaHsW90KoXlSXAAxuZFuamRpcjDiINKc/wdLr4WQWV3D0dux0As56VCb2eKQhU60HeHXq8zurqDbdnfYbqQq72J2jzpiPURVHR//e63snK0pUUBCSKFNt1NkaJl5HE5GD8dByI3U6Ca/hI8zvkTrzR2AuNtl0y9Gvxz9XoomCT2Mf68tF3l4RM/aPeFhq8tif5Br95LxyyHpOUHG2h/HNkUdV+sij6UipsOHDxfFxwiKA6LPNheXsin4xzBM2RQko9ctibcaOnXqhPXr1yM0NFREqDk7l/4sFYZhnjwi4W7WZZyS6wZPVLf2lPr9URTSpTtJUMmzIFNIhUj9HPxgImN3PWOYsGjLVHhoxJzyp65duybW6cfU4cOH0aNHgSBz5iGi0qIwefdkrLu5DlP2TMHFmIvPVLyMnEeU/zV37lx4enoWKl72008/oWnTpmjevLloU6Ezmn4WEBAgikDExsaKmAXOomQeSWwQMN8P2PUekC4VISsopoYmh4p2M5dmpVaArChHQIZKEmqNrQJxMjAcCPwPCDmMcqXDa8iecw0nraVCS1bG9mjk3LDM7q4ot+2E9p7wcbES2+jLr7aQU1YKkCF9CX4q6Lr0mG5/E/i5JTDfF5l7dBnlxHOtfXHNyAfpsECka1fk9foSmLQX6i7vIdOCohskzEzNAAfd+xE5o/OUnL1d4SER/7KUX5tnZotlWVJsATGpkU6oKYqvd97Q1g58o1c9dK1XtABLGe00XXr37t3amSbULvj5xjCM4UK/DerXr69dpzgTEnLJREC/E2hAhmtdMIz+aevWVts+FXUKWbW7atezrpe+aHszOhVp2XmQmem+O3A0AmPI8CcVU6E5efIkBgwYIIRBwsvLS4ymU7Yq82jORZ9DYnaiaOeocvDqgVexsu9KeNp6PlPxsg8//BDvv/+++EK8dOlSbNiwQQiyBFXwfVQVXyroYm1tLZzSdFmwXdS2x+2nPDPK5H0aNAIyXT5uKXgcxXKQkM2UAQfmArkZwKlFUFu64IjrC+jo4yQKxy+5uqTEos2zQEUK7E3txWvHxOom3rs5ELiRC/j0BLw6ozw5HXMB2SopnqGXZ1fIjMp2HJbctsuuLUNCVoJw277S+BV8NqgBnv9TciF+vfM6+hufgeWBDwDPzsDQ30p2wznpQMRJSfgOPQJEXRbScEFybx+EOb3W8t385go5HMf/A/OatWAqM8KSK0uw/OhrIse0S/eX0dnIGj6Bh2BVy79Q5vBnW69h4M334F7DHbV7ToOJe9PSfIiY8uLofEAt5dypWk/FGJcaWH5tOerY10F9x/rFX+1WLI7ekgZ8atqbY3LHoj/v6L38tddeExFLGrGH8i8bNeIfdQxTUaDZXxs3bsQ333wjxNuJEyfC0VGTgc8wjKHQ1KUpzORmyFJmiVzbl+pOwvWQWlDBCNkWzdCswPe/ZyYjARfCk0VTmemBQdU+QjWXaLSp3qZ0bp9hygAWbZkKy/bt24XDk4qPEeTkJLfn/9k7C/Cori0Kr7HMxN0TAiEEC+7u7tJCS/F6qbu9eqm70ZYapUop7lBcgrsmBCLEXUfft8/NWBIgQBT2D+ebM1dm7p2ZXFln77X9ucprpRjVeBQ81B54cOOD4nlOSQ4e2PAAfh3+K3wcrZU0rwcSSqmyNjWKrKUqvPPnz8e+ffuuuJ7BYBAVfG2r+N7oBbtjqefn5UTWy4mwN/KerVu3Ro8ePSytQYMGXAjvRknYD5xcLvVdArDLZyKm/xCNcF9nPDTQF5cKLolZ5EfVK7hXtW2GQq5A75DeWBqzFJDrcNDDD70yE0WKNkryAbUUeVoTbE7YbOn3rSY/27LRtrOiZuGDfR9Yom3f7/M+RrQKxMqjl2AqzobDqicBXS5w5A+g7Z1XF7KP/AUseRAoFZ/LojfJcdjUGLtLonBbVg78vDws80IbNsbF3It4fvvzOJJ2REzLy87DuexzoFKUZOfQTxmBV0wm8fcXl16A/YcP4SOHnQDVSpz/JzLcmsGt+2yo2twOOFpf+1aFfB0pC2Lnzp04e/asOHZR0R5zo/NrrR/Lsi4AhyUxFWp3OHR9ENMdPXBHszuQVSwNRFYEHdspytbMU4ObQq2suIggeVzSucs8mEgWQD179qzqPWEYpppp1qyZ8KplGKbu4qBwQIeADtiRuAOphaloEJCPsdrXUQIH9DL6YEFVXncsmoVxcXsRqIrAHN0jmNh8ENo18Ky612eYaoBFW6Ze8tNPP+Huu+8WIh8xYMAALF68mAuDXCO9Qnph1x27MGPNDJzOOo3E/ETM2TgHPwz5QQg0VQGllN5///2ikR3Cxo0bhShLxV3y8vJEM/fLTqN2IyIqrUsVg2sSes/Dhw+LRlWKCSp+YSvikh8wp+RdA/Qb2PCK9XmfZ/D5NqnAVGxaATSyplgzYQ2WxSyDv1P1i0r9QvtJoi2ALX5hkmhr0AIxm4AWo6v1vaHXAoYSmBxcsDV+q6V4QtegmokQuC3yNvxw7AcRbUvHjCJ9kShKRmlmzw/vBVVCAbDiMWnhlU8A9+8AFA5AylEpkjZyKOBrU+jBO6KcYHvCGIadxhbYYYzCXmNTGB1cMalzKGQqR7u/s0VnF+H9ve+LbSAo0lgMvJRG6dI20jHN/HvQGYwYF5iB1AwN/CBF/3vnngLWPA39upcgazkWig7TgbDuVRfRUYfR6XQiTZgEWnMjf/grQYUnKWLNVsilRrZENSbmkpetUS/1uz5gEdvppo8irS8Hbd+Lw5tj7upTMJpMGN3GaqNhy7x580TGiBkacBw1alRV7wXDMAzDMKV0C+wmRFsiVXcSnm7eSM4txt64TGj1RjgoqyCbzKAHEvbCyZiPVsqL0Jsc0TJIshljmLqMzFTDJpJkAu/u7o6cnBwW2Jhrhn6u7733Hp577jnLtNtvvx2//PJL9aSkk7fi7q8A/5ZAi7H1/kaexA1HpVX4MJNSkIIpq6YgpTBFPO8T0gef9PsESnntCovkKUii6+VE3auJvvRoFm3phr1su9z0G1kuPT0dR48eFdt+OZydndG1a1eLiEt9Ph5eARJDF4yT+p6NcGDMOoz/Zq94Gu7jjPVP9IGCKgrVEIW6QvT6o5ewFfFzcMeG00ch3r3NncC4r6v3zU+uABbNxBaftpjjlCwmdQ/siXmDq/l9bVgeI0U8D2s0rPwxgn73Pw4F4iXLBAS2BbIvAEWlEZADXgF6PWEnHOZ+3hs7C0OxprApdhlbIBPS34KvqxozujfEXV3C4O6kKnfMGrVklEWwDXUNxds93xaPWxO2YkvCFuxM2olH2z+KKc2nWNbTG/Xo9XsfOJbI0D0nF5OKLqGlVmtn8G/0agw5ibfdH6n3x3xbMjIyhKWQWaCNjo62ZKrcKJRyTOJtWUG3ygt2ZV8EPmsvCf1qN+CxI4DjtUXIUMG8jAKt+H2Vhex86JrCfGn8/vvv46mnnqqyzWcYhmEYpjzxefHYnrhdiLdhbmF48q/DWHxQCtD4896u6BJeBdYmZL81r7fUbzkOOSO/g7sjFx9jao/KaqMs2jL1Aor+IWGWImwpZdPMww8/jE8++eS6fUuviNEAzB8MJJam9EcMBEZ9CriHoD6SXpSOO1feKVJIZ7ScUS4q6kzWGUxfPR35unzx/PbI2/FS15dqPxW2HkLHOao2TmnG1Hbv3i1E5MtBv1/ySiQBl1JwzZYKTKkI+F0/4NIh6fmE+bj7QENsOCkNMLw7oRUmdar5z+rBDQ9iW+I20f8jNQctC3IARy/g6XN2HqpVzr8PAId/Q4ZcjqmaUTjvkodHutyOBzrcgTpDynHpotgcDWlLeD9g2hK7Cr4DP9qC8+kFlmlU3OzeXuEY0y7osunrxKIzi/DartdE9O9THZ8qlx1QYiiBwWiwm74/Zb/ILLDFWa9Av8ICDCrKQ9eiYjjRZVHDXsCMFaiv0KDR6dOnLQItHYfo+ZUgL3AaQKLiPdTomHTx4kVR5NO2JSZKN1GVwcfHxyLg2gq6112pfcXjwL4fRPdglxlY6emLmVEzEewSjBtl06ZNGDZsGLRarXj+zDPPCC9MhmEYhmFqFipu+9TfVOMAeLm7I2b3awG4BtzYi+75Flj9tOge6fM4YkPborVPazR0b1jtdSEY5ka0Uc7PZeosVLxqyZIlwotq/fr15dLkyXOOIm6rTVTcO98q2BLnNgBfdQOGvAW0m1qvIrB0Rh2e3vK08P38aP9H0Bq0uK/NfUBeiuTF2bi/8AKl6Nr7N9wvotES8hNEJCGlXjPXBh10Bw0aJBqh1+uFNYRZxKVmm4ZMAktZS4WQkBA7SwXyyb0lLRVOLrUKtgGtcNpnEDac3C6e+nsWo2uT2rnI6hva1yLa/ugQgg9ItC3KBOKjgTBrFdwqhdK6zqwWXbVBjXOZ4+FrdMP97a1VdusCWu/mOBY2C+3PfytN0LhLImh4X2T4dYVtrARFSM/u2QgvLTmGLo28cF+fcPSN9IO8TOR0vjZfXFDbCrATmkwQhafa+LapcDvEsUtR/lhIxeSOph+1TCtQGrDCTSOa0gh0Ky5C3wYtMc6og0qusg4e7PxMRGbAMwx1jYKCAuzdu9ci0FJEbVbW5f1diUaNGlkEWjrGREVFCf9WW4KCgoSQawvZ25w4cUI0WzE3KSmp3HtQ5gEVpaRmC4m2FYm5JPJeFjpfHVgg9R1c8J28ENtO/ynE+/lD5qODf4cKV6O0SpXCmg1REfv378eYMWMsgu3MmTPxzjvvXH5bGIZhGIapNro39kZ72Rl8qPoajQ6kAO4vCnu0G4KK3pay3JSDP3a8LPrfDvoW3YKq6dqdYaoAjrRl6hT0c6QbTxJqqXhVRQWpqLjV448/Xv0ec8W5wPqXgQO/AM6+QL4U2WeNuv0McL/x6J6a4L2972HBCelm18/RD38OWwCfI38DW94DtPmAayDw0B4hrlDq897kvXi528tWwYKpciiCzVbEJVH3SpYK5ig4W0sFV1dX3NQYdMCXXYDMGOn5lEV4bL8PlhySxKFunTfhZP5GDG80HI93eBy+TtcZvXcdUHr+wEUDRd+12A07Lx2TZlBK/eA3qudNyRP2F8kzd7mhKx7WPYIpXRrgrXG1W9H+dOZpYbvSwK0BjiXm4NE/DiImLR+vts7FjL7NgYDWOJiQi++2xWLt8RSseqQXmgZYf7vFOgNOJ+ehTWjFhcD2Je/DSzteQs/gniL6vypIK0wTNgpUzG130m5RsdgWP0dfbLhtoxD6TiXn4tjWpZh4Yg5dNgnxGe2nAc1GAEp1rRUMMwu09EjetGaP94pQqVTo0KGDRaSlFhgYWKXbRCJxWSGXWnKyZONRGcgzNzIyslyLiIiAs5OTNMi4+V2cDmyGiakbxDpBzkFYMX7FZc9X7645hT2xGXhheHN0bOhVbj5l79AxNS0tTTwfPXq0qDh/Sw6SMQzDMEwdYdJ7f+PPwrtF3xTSGbK711//i5Hk9VELIC8JUDljcuteOJ55AjLIsOOOHXB1uMnvqZg6CdsjMPUKuqlbsGCBsD+gm76yNGzYEDNmzMC0adNEdFCNkhEDOHkBa14QackW1O7A0LeBtlPqdNTtqthVeHbbs6JP/pM/tnwIbXd8A2RYbSYw4iOg0+za20hGHBvJRsHWUoGi565kqUDRt/3798ezzz5b9d6RdYFDvwNL7pf6YT1wcdTf6PfRFpFS7+FaCFmDt0VUuIvKBesmrqvxC67bl0/CibRYyPMbIzpzLTQwAt5NgIdtIvSrklXPANHzRPdh7RwsN3bH/OkdMaD55YsvVbflytt73sb6C+sxOGwwPuz7IRKyCoXdQbHOKKJoXx3VAssPX0J0XKZlvQntQ/Dh7RVHx9pCGQFfHPoCPx37yVJc7KsBX4kCilVJsb4Y0cnR2By/GVvityC1KBUTIyfilW5S8buHFh7A4FMvYkvgGbgZjOhbWIQuxcVw1HgCA18BOtjbLVQHJIj++uuv2L59e6UKhlEkq61A27FjR2g0GtQGmZmZFYq5KSk2A6GVgLIPmjRpgsjIJrjUPgmx6jgx/ZkOz2Bq1NQK17mUU4S+729GCRUxUcix8/n+8HGxCu0UHUyCbVyc9FpkT7Nu3To4Opb3fmcYhmEYpnqhwKFdSbuQVpSGZzu+ApfvewBppwCyL3i69J78ej3xP5GCHHYr2+C+0DwYoUe4eziWjpWKCzNMTcP2CEydp6SkBCtWrBBRtWvWrCkXJeTk5ISJEyeKNMXevXtXj2/tVdh/IROvLb+EVsGFeGH453BuORZY9giQnwyU5ABb3pXSZR2cURehCLhXdkrCA/G8zA9tlz1pv5BPJNDuriu+TmphqkhPDvcIr65NveWhA/XgwYNFK2upQEINPdp6SVJULkXXUaOosJUrV4r04puKqPFASS6w9X1RwGretlgh2BItmx3GkXzJM3VS00m1MkL+Sb+P8fQf57EjKRuHHc6ji/yUNBiSfhbwaVK1b0bjq6dWiu4iF1f8V+AFBx3QrXEVFGa4TpxVzjiQckD0111Yh7NZZ4VdwUN9I/Dh+jPiu3p56XG7dUgwi/R3ueprk8f289ueF49m2vu1RyP3qh+00yg16B3SWzRTVxNOZp60FGxMyyvB+hMpiMY4lDh9DpMM+MfNBRqjUfjfzt7wAtq2HA9oqm8Q+sCBAxg7dqyIrq0Iigamv31bq4PGjRvXGT9yip4lMZRa2cJotiLuyZMnRdTr5faThGpqO47vQJMuTUR0jD5Xj1mdZ+GNkDcqjND9dFeGEGyJad3C7ARbEsKHDBliEWzJw3f58uUs2DIMwzBMLTE3eq64nqRzPNUrENmtJNqajEDsf0DUhOt74YulBXIBLIU/jJAspMgyi2HqOizaMjUKBXYfPHhQRNQuXLhQROCUpVevXiKq9rbbbqv59O/0c4DSAfCQChs19nWBv5sGC/dcxP4LWfhuWi+EPrQbWPM8cPh3YPQXdVawzSnJweObH7ek/Y7NL8JtabutC4R2AYa9BwS1veLrnMs6hwc3Pigi3RYOXwg/p5sworMOQqm57du3F40K7tHfTkWWCjT9woULQqz566+/hAhx00Cp513uA9pPR65BgX8OSOnQzpoSnC2WUqQc5A64q8WVBx2qiyCXIPSNLMaOc9lYb+iACDcjvNuPqZ5jQtJBIDcBhTIZ3vL2hMz3J3iYQuHkMAK1BQmbs6Jm4f1974vnXx/+Gh/1/Qj39A7HogMJuJBRaFm2sa8z7u0djjFtg6FRXb64mNFkFFYunx74VPjPmjMEHm73MKa3mA5FdRZ5KxVAW3i3sDz3dVVj01N98MbGpdiRp4RMJg0UFMvl2OzshEMaNTbFboGqRfXY9ZBN0KxZs1BUVGSZ5uzsbFcwjPoeHhVbS9RlvL29xYAsNVsKCwtx7tw5nDlzRrSYM6dw8sxZnDlzVgi9PsN8ICv1PM5YlwF9kV6IvdRo8MqMyqcBAmd+AZlcDoVBi+ydf+LnjHAh5lKhx0mTJuHYMcnWhDJ41q5dWy8/R4ZhGIa5WegW2E2ItnTfuefSHgwm0XbXF9LMsxtuQLS1+tnuV1uv01v7tr7hbWaY6oZFW6ZGIK84Su0ksZaEprKEhoZi+vTpopF3Xa35Z/4zW7JDGPKmEIpKjDnId/4HDm7uOJXcCqO/2I6vpnRAt3HfAN0fBvzLRDbmJEjpG25BqE1I+KAotfg8KWKpZUkJXkpPIzdGwMUfGPQ60HpSxbYOJ5YCifuBga+J+eSHSwXMiAc3PIifhv4EF4erR8oxVS8mhYWFiXbnnXeKaRR5S8VzqIgOpVeMGDECX3zxBe6/v9RSoD5SmFk+9UmlgZsKWD6nJ77eEoNU+UocLpAEwbERY+HjeIXiRdVMn6a+eGvVScw3DMMZrxn4pX/n6nmj0ijbXY4a6EuTDpq4135k9W1Nb8MPx35ARnGGsEmgyFgqavjZ5HZ49p8jIrJxZo+G6Ne0fHGxslzKv4QXd7woUuPMRHhE4J1e76CpV1PUFiGeTpg38Q6czxiKuf8tw/akrVA7H4JeqUW2QoETp5agTRWLtpR58tJLL9kVwyJx9vPPP0fbtm1var9VyrIh6xdqgtXPAUnJQJ8/cUYTgkmbJkNv0kNpVKK3W2/EtI0R4i6JvbZ49JkhBFsifdtCfLjnnwrfj6xlyBKhqj1+GYZhGIa5Nqgg2C8nfhH9XZd2YXCn5wAqQqsrhOncBsio/sf1ZN+mS5lbepMcSeoS6Z6YI22ZekLtlN1mbgl0Oh2WLl2KcePGiQrUTzzxhJ1gS/56JD7RzdL58+fxxhtv1J5gS+z4RKpSr80Ddn0Fk74Ez21/BsfyV0AdvBAO3huRVajD1Pl7sGD3hfKCLZ1E/r0f+LIrcOg3KZ25lvjuyHeWyvaeMhU+TkmHWqaUhOY5+7BG0QcJ2dbILSI+sxCLv/kfTH9NB3Z8ahnVfLvX2wh2kQqunc46jSc2P2GJgGNql+DgYFGVnVKnzULPAw88IP7WrlSUqM5y6YhUeIx+fxXQxN8Vb41viov6teK5XCbHjKjq9xO9Ek38XBDoroFJpseeC7GiqFa1cGqFeNjsZE3dHtd0EGobc7StmW8OfyMeqajYmsd649e7uwjP3asJthTRP37ZeItgS2lxM1rOwB8j/6hVwdaWRt6e+HbidGye8SVCIBWEIw5ciq7S9yFfKyqGZSvYkk3Q5s2bhTftzSzYliMvBdj/IxC/B/hjClbELxKCLTG19VQsWrhIZO/k5+cL64RNmzbhm2++wdQnX4dThDSAos9LR97+5RW+PGXzkD1TrV57MAzDMAwj6ODfwVJYlLxt153Owm6TdM8tK0gFUo5e3wtPX45Jqi/wkO5RwEkqaKxRaBDhyed/pu7Doi1T5Rw9elSIRiQokZi0ZMkS4c9pGy00b948XLp0SVgkDBo0CApF9aa8XpXkY6IiNWGSKZA55FOsS9yCfSnWgkKtvbuLRz35NC45hhf+PQptqVee4OACIG6b5HW75AHgt0lArhShWmMU5wB6LQaGDURDt4ZC1Hqv93sIbDYGeGAXtP1fx2vr43H/rwcw57eDlu2nFPsXlxzDrvgiyEoL/mDdS8DRRSKK8euBX8OdCq+Vjnq+tvM1sQ5T+1CqNHnaPv3005ZpH3/8McaPHy+EjHpD3HbgpxEAXZCt/x9w/N8KF1t8djGySiQfqiENhyDUNRS1CRVKcAr9CS6Rr0PmtRq7YjOq/k2KcwG5isqcYZNjaZS7SYWRkfZp5bUZbeutkbx1zdG21wp51ZrF2UDnQMwfMh9PdnwSaoXVg7Su4OemwYgW/SzPj8oKgczzVfLap0+fRpcuXbBq1SrxnM6Nn376KebPnw+1uu59FtXOzs8AvWTxk9NhKv6MXWaxRZnafKpdJgJdc/Tr1w/33nsvchr1t8x7f1ofnDl5XFgn0LGRBrYGDBggrCVWr16Ndu3a1cKOMQzDMAxTUTAA1TAgEvMTka27hBVFUdYFzkr2aNdKUk4x9uR5YZ2sOWQqyZ6xuXdzi0DMMHUZFm2ZKoG8aSktm6KAKKWRbozIEsEMpR1ShXsqNLJr1y5xU1VnvOPIFoFE1tLo0Z9kYzDor0y8tes9yyLjm4zHnzMmCE9GM7/tuYi7vt+D9PwSaULzUZLlgJmza4GvugCHfq/+qFuK8j2wAPi8g6gu39ijMX4b8Zvwl+zacCBw249IUIbgtnm78OMOqejKofhsLD8sjTQmZhfhaEI2/jb0xcc6q1eQ6d8HgPPbhKDyef/PxY0ysTRmqfCvZOoGVKTvvffew7fffmuJwlu2bJnwh75alfk6AaX+LygtOmb2W27UR3RpYEFvkAYXKML75+M/W1abHTUbtY2H2gM5pjOQyfVQuJzCf6eSJW/sk1JkbJVARa4e2I6jU/9EbmmQZYRre1FAq65cYM9uNbtctO21QF61b/V8CxOaTMA/o/9Bp4BOqMuMbN5epOcTe1z9YXILueHXJAGRBFsSbs0FvMhn9ZFHHqkzRcVqlPxUYO98qa/UIL7FSMvg4ZiIMfB18q1wtVVHk3E4Plv0m/q74vZOYSKSdvjw4Xjsscfw1VdfYcOGDcIXnIq2MQzDMAxTtywSzBQpT2KHqY115rmN1/WaBy5KAR9yR2uxU7ZGYOoLLNoyNwSJsFTMg0RZKpZE3ppmHBwccPvtt4uIISqgRKmezZo1Q51j20dAsmTbkKBqiLmFY5CnXo8sbaqY1iO4B17t9ioUchleGN4cH93eBg5KE+TqRETHZWLMFzuQklss+XCO/xaY/LvkG2uOfF1yP/D75OqLuk3YD8wfCCybAxSkSRHDeclwdXDFgAYDxCIbT6ZgxGfbLTeyDgo53hwbhfHtgy2ejRue6IOxbYPwqWE8ftdLUWQyoxYlCydDn3QU7fzaYW6vuSJtmSDR9t+zFUdDMrXDPffcI1J93d0lYePQoUNCBKLq83UWGmz48y7AUDr40WQwMHWJxdeWrEj6f7gFC/dcwKqYtRZ/5V7BvepE2ryDwkEcIwi5shBtTt8NfNEBWHwvoJMiBKuKLTnWCNa7Wg1DXeK2yNss3sJXi7Yt0hfhrd1v4VDqIbvpZMPyavdXxbGrrhPi4YJOwZKwLFcpkKkrHXC4DihrgQZdyJOarBGIqKgo7N27V0SE3rLs/BzQl9r4dJiJqLA+WDl+pRD3Z0bNrHAVg9GED9ZJojfx7LCm4tzNMAzDMEz9E20PpO6Bd2hTxBgDUWBSo9jBUwpWukYOXJDugWF0QAv3zmIQuJUvi7ZM/YBFW+a6I2sfffRRtGrVSlSs12q1lnkUbUtRt2R/8Oeff2LYsGF114OPPDS3ShG1RpkC9+ffDZ0yH2rvLWKaUqbEM52esYtyGt8+BCP77YVzo6+gdN+LtqEe8HO1SVttNhx4cDfQ6nbrtDNrpKjbw39UXdRtfhqw9CHg+/4wJe7HYhdniG+hcT/Le1CE4jurT2H2z/uQUyRFEod6OWLxg91xV9cwu/3ydlHjk8nt8NPMzvja+SFsNEgpo2p9PrK/G4OTp09hcMPBeKrjU5Z1Xtv1GnYk7qia/WGqBBJ5KJqdqqETSUlJIuKW/KXrFPQb3f6xNNhgKr34okj1yb8BDk6WKNvvtsbiYmYhXvz3GMKdu+H17q8L6w/byM7aZmCYNVX+fKin1NEVSHYpVciWBOm4RPQJlSKR6woU9Wvrbbv0XMW/t6NpR3H78tvxx+k/RLHEQp198aj6xOMdHsfSsUuxddJWeDtK9hDXChXPmjJlishEMVvOkA88/Q2Hh1szO245CtKBvd9LfbLI6PGo6FIa4+jGoy9ri0IC7ceT2qJLIy/RqAAewzAMU//QJSXh0quvInb8eFycNQtJzz6H1A8/QuaCX5G7dh0KDx6Esci+Pgdzc9DMqxk81dL1dHRyNLqGe2C27im0K/kWq1q8d22FyPRa4OfRaH7iY3SRnYShsDHmDf4a2yZtw8AGA6tvJximCqmjStrNxYsvvohRo0YJL9f6DnnTUpGPV155RQi3ttWXp06diunTpwsht15AB/ElDwJGyW/3G/0oHDOFQ+O/EJBL0+5sfifC3e1vnDde3Ij1CYupUg4cg/5BaIQzjKY2UMhsfHkpSnDCd0DLscDyxySfToq6/fc+wKcJENzhxuwc6Gb2v7mSfy6AX9xc8YG3J/4J74APh7yPAOcAEf378G8HRTSwmcEt/PH+bW3g7nh5/56+Tf2w+ol++Gy1F3wO3I028lj4mDKQsXAifuj9K2YNnCaiHX89+SsMJgP2p+y3RBoydYPmzZtjz549wlN6586dQhgiIeiDDz7A448/Xvup1jRCvv5lS7E7QdeHgMFv2l2I/XswAckUxU7CaHM/tAryRiuME6nR5ojvukDvkN7i75/+HrbItbAMa5xeBTS5wWJhJfmA2gVJ+UmW6FVK5zJHtda1aNvtidvFY/8GVk9Rs7XF90e+x7wj88TnRKQXpeNY+jF0DpQKRtU3yAvtRqAMFPq7tI2Ef+211/DSSy8Jy5NbGoqyNQv6HWYAboGVXpUGUv+4tyvySvS1f6xjGIZhrglDdjbSv/4GWb/9BpNOCjgpzcUqR6N/F0PT3HouLtgTjZylS6H084XS1xdKPz+o/PzEo9LHBzIV+5fWB6gmS9fArlgdtxr5unwE+KchziRdB+w4lyECqCoNZdOe34LbaGBX2RPpHh3h4eRgCc5imPoA/1Krme3bt+Ptt98WjSLgXn75ZfTpU7cipCrLunXrhOBz4sQJyzQnJycRIfTUU0+Jfr1i24eWCpQxsjB8ohsHhVMMVG7SNC+NF+5vc3+51fqE9MEdze7A76d+F88XnvoFCfkX8G7vd+GscsbxpByEeTvDRa0Emo0AGnQDVj8DHP0baHfXjQm257cCq54B0k5aJkW7euFjb0onNuFIXhxOZZ6CRuaFEZ9tQ3q+FAGtlMvw/PDmmNWjYaVuYp3VSjw/tgOOtfgbSX+MRJDxEprK4+Fz7iVgwHIRbZtamCosE+5qcdf17w9Tbfj6+mLjxo2YNWsWfv/9dxHF9+STT+LMmTP4/PPPoarNC9cNr9gLtgNeAXo+TtWE7NKcv9kSa3n+YL8Iu4u5ugSlWNHfAhUujCtOx3m1ExqVFAKnVwMjPrLbr2vmr6lAdjz+dJcip4newXXzHELRtvMGzSs3PS4nDi9sfwFH060Vf6O8o/B2r7eFX3a9xmSCIfU0co+thadPANDGxtf8KtcGEyZMQGqqZMPj4uKCBQsWiIGWW56CDCD6O6mvcMChZoPgmXsBYW5hlX4JOs+5afjmnGEYpr5hLC5GFl23lgq2V4LEWFuKjx9HzuLFl11e4eUl1tE0a4agd+bazdMmJECmcoDS2wuyupohegtBxYbd1G7oFthNXGO/qdqBYp0Ru2LSxT1NpQdlL+6ydFt1G4Jnw+qgVWMlyN+yBRk//gRjbq40+KBSikepOVj6bkMGw3WgNYLYWFKCjHnfQmazPCzrlTal9OjUsQMUbm6WdQ15eTAWFEDp5QWZgyR0M7UDH5GqGSoMZIYEFGqUqkyRNIMGDaoXUSBUFIVE2RUr7Avr3HXXXZg7dy5CQm68AEutENwBJtdAGPNS8EjxvdBChaCg48grnf1o+0cr9FZUypV4ocsLIgL3neh3pOi6hC2YunoqXmj/Pu75IQa+rmp8P60TGng7lUbdfg9ETQDCutu/GKXDFmYCzpVMrT23wU6wTW49EU+VnIZBK0Xc3tv6XvQN7Sv6NAr57dZYBLpr8MWd7dEhrDRt+xqIioyA7oEVKPp2AEwGPbyHPicEKIoq/KDPB/Xi93sro9FosHDhQkRGRooIPmLevHk4f/68sDUxe9/WOO2nAYcWAkVZwMhPgA7T7WbTxdhbK0/ifHqBeN4l3APtG1z777cmob87Em2JzSHN0ShmP5B3Cbh0CAiSrEYMBoM4npL3N7WDBw8iK0sqjGBOjbd9dFUZsW10ElRyIConE1qXvlC6nMInT32Hj+M/srx3RetW9EjQb+G2224TEZ5U6Ko6off96/Rf+GDfByg2SBHTdOyg49Q9re+5KSr2vvnHf3jp9DjQr9MU1AGySoi2dF0wZ84c6EpvSMkGgexLyMeWAbD7S8lehG422k3FK0e+QFxuHAaFDcKbPd6ssABfoVYPtVLB/rUMwzD1HFVAADynTBGRtl7TpsJ79mxx76FPTYUuNRX61DTo09LEc4Wn/bUhTbsShsxM0WTq8gLUpedfQOHevaIvU6shd3Yu05zEo/vIkXC18Zs3abXIXbOm/PJOTpZHmcImG5OpFAPCBohmplNDL2w7m46knGLEpWajkYdKZKJdlYu7Ld3ANt0RHlhxEdO6jC45GfFzHgYqMZChbhxuL9oWFiL9q68q9T4N//4bjq2s16L5m7cg6emnRV/h7g6Frw+U3j4ial3p4w2FT+lzXx+49Op1XfvGVA6ZyfZurgbIzc0VQgEV23CzUfJvVsjrlaJnKNI2NtYaNUZ07txZiLcjR46sk+JXdnY2Xn/9dRGVR7YIZqiw0SeffHJT2D0s3nkUa1b8g3XGTnDVKLHi4R44nL0J6+LW4bP+n101om9X0i48ueVJ5GklqVdhckXuhbtgLAqDh5MKX93ZHt0jfK5chGndS8Dw94FWt109Iq8kD/i8I+AWhJIhb2PG0c9wLOOYmEUWBV/2/1JUYSd0BiM+XHcG9/YOh5fzDY6OJe6HSekImX8LyyQRufnXYfRp6ovRbYLEb/h05mkROUfFmZi6BYm3FHVr9p9u0aKFGIgxe9/WOIn7gdwkoPmocrPmbYnB3NWnRJ80mO7dlyLIzQOzWs0SPld1kQu5FzDy35GiH6TzxtqEg6J/2GMofjgfIERaKgxXUCCJUZXhzlZKLBwvZTD8oB+K1/XToE05h0s/PXbD20uR1jRwSIUkx4wZU+UCPh0fvjn8Db46bL1QpEjJt3u+jda+rXGzMHPhcjRIex7xmhLMzslFj4dPWorolYX+9h577DF8/fXXlmkDBw4U3u/VLaDXK+L3ApvnisySjbd9hcei3xCT2/u1x8/Dfq5wlRf/PYr9F7Lw3LBm6BPpWyevqRiGYRgrJoMBOcuWi6jasB9/EAKnGUNODozFJVD5X5svOUUG6pIuCfFWtDSzyGsv+Lr264uQzz+3WzdmyFBoL1y46nv4Pf2UJCSXQq97rveVM6Bkjo5i/2g/1U2aWKYX7t+P7EX/SEE8QpIxSQPtplIrsdJpJI4FvPCC3WumfzMPRceO2i9rMtErlPal6S79+8FryhT7zym/AAoX6+ddH/hq8zksWbsBTyn/Qj+Hk1D1e0bK0rsS9Dm8HwEUpgMad7zZ514si12Glt4tRY2MULeK/fHrImlffIn0L74AaADAINmMVdXv00yjpUugaWot8pz97xJcev75q65Hgm7knt322/v5Fyg6eAAKG5GXHsVzEn+p7+Fxyw9o5FZSG+VI22rGwcEBs2fPFl6vf/zxB9566y2cOiWJEdHR0Rg9ejTatGkjxNvx48fXCR87Emi///57YeWQnp5umR4cHIx3330Xd9xxR53YzhslNbcYL6xOQLFRqgD+zvjWCPN2QZj3aFHopLLVLRcOX4iHNz0sRBuDLA/OYd+hKGk8snPbY+oP0fjfyBaY1s2+6JcgJxFY+wJQkgssvgc4sVRKpXb1l04ylFpNkXqdbAouqV2BWasBj4aYu/t1i2DrowlEb/fHLIItoVLIxQ1sRdABvOjgIZFCYUvRkSMoOnoUTh07Qd0kAjLz9xzcoZyD6NJDSVh8MFG0fw8mYmTXTLy7/2X0C+2Hd3q/U+dS2Kv7wrP45CkU7tkjLvg0LVvCc5JNIToardyxQ1xASSPvTtJj6Sg8jehXt8hAxY7CwsJE+nVGRoawOaEBGIrw69bNWqW1WshPBTQegNJGzCebkAqsQhYfSLAItsQjw5ww//wuHM4EjqQfwcpxK+1+53UBOmbmXcyDs8EbBYoMJCkzkSmXw8tohPHkSnz27eWFWkdHR8t3X/ZxYpT1N7HWIB2njInHxMnd9vdyufXLTiPRkC4KCIryXLVqlWhqtVoUjCQBlwYRKVX/RjmRcQKH0w9bnk9qOglPdHgCTqp6ZqNzFYJ9c7FYT5+xBm1KStAjdjMQNb7ccmSDQBHOW7dutUwjAff999+vu4U6a4vQTsDUxTBlXcD8ndabhcsVH4xJy8cfe+OFpcpDCw9gx3P9LX51DMMwTN2CRMn8TZuQ+vHH0J6LEdMyf/kFPg88YFlGRPVdx1iywtUViqauQNPIy7+/0QhTsZT9Y4tLv37QxseLSFxKCbdttlYNtuIyQfOvhqmoCIaionKeuiVnziDn33+vur6qQQOgjGhbdOgQ8jdvvuq6DmEN7LfFZMKFaVOhcHGF9z13w7lnz3ox0NmjsQ/+hAqDFfsB0izPbby6aJsRIwm2RGgXHM04iiJ9kajH4qmpuxl8NLAgd3eH3MaSwOfee6COaAzXIUOkCTodTHq9+G3aNlt7A/PfUuj338Ok09othwrWJR9oWxxCguEycAAM6RnQp6eLVtHfDg0qlKX42DEU7LRaU1SIXC6i6gNetP9tM+XhO4Uagm7KyE6ABM/FixfjzTffxJEjR8S8w4cPi5s5inyjomW33357rd3EkX0D3UgeOyaJgeYU62eeeUY05zInqnoHWRE4eoqIVj83Dd6d0FpUpR/dNggjWle+0IktFFlKwu2Tm5/EnuQ9gEwPn6B9SM5tC4NRjleWHcfJS7l4fUwUHJQ2QialeEYMBI6Xei+dWgFc2AH0exE4s0ayQlA6SoWMPGxOuF7hWHRmEf45+4/0MjIHxJ+6Ha8ePY82wYFoGXT5q5yS2Fhk/PADcpcuE88d220QBv1mcleuQubPUiQTnSycOnSAU8eOcOrUURj9WzyeKHV79/sYLnfFKmNXbD4Xh314DzJ5iTCND3QJFJXVb1bogq/k9GkU7NmDwj3RKNy3D8Y8s7EGxAm1rGh76aWXob90qeIXlMstIq7f00/DfZQUsWkW2NM//1xKr7IRes3L0/enad3aKrBfgZ49e4oCZSNGjBBp+mlpaejXrx9+/vlnIdhVC3TBtGAsENIZGP/dFSu+bjubhmcWScdF4slBkYg3lXpbApjecnqtC7Yk0J48edJicWCOoC0qKkLAHaHwGeIOQ4kftpr0GItEtAtUINRNhvhcExo2bIgOHTpYWvv27eFTwYWOQFcEvNdYpInnKdyxzyTdgKz49l10bGj9TK4FulCnwUKK7CR7jMTERDG9pKQES5YsEY1EZBJu6fcwfPhw8fx6iM2JxY7EHfB19MVr3V9Dr5CbM21qZNPuWFr6Z31AowZiNpYTbckGgwZLqPCYeTCXbEpmzJhRG5tcb4guTrb4IDf1bIpewRX/ht5fc1oItsR9fRqzYMswDFNHKYiORtqHH6HosHVQlyg+IxVarQnoepmup8vi/9yzl12HLBAMQsAthMLN3jqPogX9X3yxnNBrLJQepfWkdeVlBsUrI/hKG1BBYnQlhdaySdWFu3ah5IRktVcYHQ11ZCS8754Nt2HD6mShtsziTOxO2g290YhXZ4yCcfXnkGefl7xqi3MBzRUyt+Ot0Z/RiMTpzJWiTxaHLg43HqBQ1dB3lfPvEqS88w687roLvo88bJlHnrJuQ4daF3ZwqJTPrFythkvP6ysY7tSpk2i220e/Y0OGJODqhZibBrmmvG0VRctfFaOxwnWZ8rA9Qi1hNBpFavIbb7yBffskH0QzEREReOGFF4TIW1PFgs6dOyeKFC1bJol5Zkhkfuedd9CARvjqO/oS4Nu+gHsoMOpTSzXq7XHHIFcVonvwjVUwp+roc/fMxbbEbfh12G/4cWsGvtkijSATHcM88fVdHYTfrR0UYbviCetIYFn6vgD0tV5IHEk7ghlrZoj3I4oSJ0GfK3lm3t4xBO9NbFPuJQoPHEDG/B+Qv3Gj3XTve+6B35NPWJ6fnzBRmPhXBF3gOLVtC6cO7eGCPdCkLYVB7oAH5S9jbX5jKFxOwDFkAWQy6ZDyUpeXMKlZNQmBtUTepk1iRLwweu8VT0bu48YhaO7bdtNOd+kKYyVOYEHvvQv30dZI76LjxxE3YeIV11E3bw7fh+eIKIHKjJaTjyoVQfrvv/8s0+hYRINGVTrannQI+HWC9bdd5rdcloSsQkz/IRoxaQW4q2sD3NvfHaOWjILRZBSFAddMWANHGsioQYGWIpJtBVoaZCOBtiKUnkr4TXwRKq9OeFixGE+qFonpJ8Nnw2/Ei/D2rqR3NUGR9r9PFsEEbzp3xI/Z98FD7YH9Lw2qEt9OOgft3LlTCLh///03UlJSyi1DEbeUDUIC7pAhQ0RE7rWQXpQOdwd3qBR17yagqjAaTWj7Q1+YVJlwMJqwM8sI9ePHLTdT9PnOnDnT8psJDAzEv//+K6LcmStz77p7seuSFKXxXu/3MKzRsHLLkCXChK93ij6dW7c83RdODhyPwDAMU5coPnECqR9/goJt2+ymO7ZpA98nnoBzlxu7B6uvGLKzoc/IKL1mkEn/KbiBnpsbZKKIlMrfv9y6Rq1Wum6nZl7PnGVV2kjYsxXG8rdtQ8pbb0MbF2f3esrAQHjPmA6PiRPLRRPXFhQV2/337tAb9Wjo1hDLxy0HVj0NRJfWDJr0a4U2axaWPgQc/FV0R8rvw4Ww1aI/NmIs3ughWS/VFXSJibj0yqso2L5dmqBUotE/i+zsCuoTQuDNz4c+Lb2MyJsOfUY6DGn0mAHPOybDY8IE3KrkVlIbZdG2lqGPf926dUIw2UHp0zZQKvNzzz0nbviu9Wa5stD3QFG/n376qaUoCtGpUyfhW9u9e5nCWfWZja8D2z6U+g17ATNWiM//7nV3Izo5WlSpJKHRg9K4rxN6veySbEvKxZKDiXj2nyMo0RvF8yB3Db6d1hFRwWWiYQvSgVVPAcdtUmTcQoAhbwItxtqNpj679VmsOr9K9LWZ3VGSMlrMfrhfBB4dGGkRdCgaNP+//5Dx/XwUHZT8Nc3IXV3hOXkSPO+aaucXRQIhmfAX7d+Pwr37xAVBRXj3aQC/QGn00qR2x2cNP8c3+/TQ+x6CJnCJmC6DHO/3/ghDGllN5OsL9D1qY2Ph0LChnddO+rxvkfbxx+WWp0IITp07w6lzJzhGRQm/HkopsSXjhx9hyMuFqbBQmMLTSKXR0i+w9ANeexWufaVicgR9HxemTqvUdjf6d7GIiK4MlCr/4IMPYv78+ZZp06ZNE0WSquR4E7sF+GMKUOr3DP8o4K5/ANeAK66WVaDFjzvOi9/y23vexF9n/hLTH2n3iCheVV3Q51E2gpYE2uIK0oDKQoWkzNGzCR5tsPy8Ac1lF7Dc6XUomwwAOs4CIq7x76D0QvOg2gHTggJgMsnQUDEKK6a+haqGCqRR2j4JjIsWLRL2GWWh8zYVLyMBd8CAATU2oFgf6PfzfUiHJBwuSEpG29nbYPBuIiyGqFinGRJqKdMmKCioFre2jlKUDfx5F9DlPqDpCBzPOonJKyaLWSEuIeJGjYqAlj1O3z5vF/bGScX83hoXhSldwmpl8xmGYZjy6FJSkfruu8hdJd23mCELNt/HHoNL//71IjX/ZkPcI27ahIzvvi8X9UyZliSkUaQn+Y7WNtNXT8eB1AOiv3bCWgQlHQV+K81m7DBDCsS6HFQHJuMstCYF2jjPhtJ/jZj8cteXcXtT+4zI2vwuyNc59cOPxD2iGbdRo+D/wvNQlim2x9xcsGhbz6CvYcuWLUK83bRpk908usEja4J77rkHThWkc1zvTTqJNeSlSynSZigKiCJrKcr3ZvCttSt69P0gMh+FUaaC/L7/gIBWWH9hPZ7Y/ITlxnDJ2CVQK6pWIN91Ph73r38EeUlDYCwOxVdT2mN4q8tYMVDU7f6fhO8Ouj8MODiX+53M33EOH+77CFAnoOjCPfBydsTHk9qK4itmctetQ9rHn0B7/rzd+kp/f3hNnw6P22+D4iq+lXQSIeGSUv9JwKVHfWk0XshXX8A16SvJwoEELwTj3F8yXPQKxcFAE85EJuBUiAz5jg74btB8dA2WIoHrtEgbFydZHUTvQQFF0qano+GiRXCMamnnHxU3+Q5xQePcmVJGOsOpSxd7/98qhoRcbXyClGZVVuTNL0De2rUiOtqlTx+EzvvmmvebPDWffdYa/dqrVy8RCXhNUaEV/Y7/uRswSEXP0KAbcMcfgGPlB0QOpx3GrDWzoDVq4axyxrqJ6+DmUDXnjLy8PCHIkq0Bpa5TO378uKVI25Vo3LhxOYsDT5sLqgMXszD+KxLwTBjdwgufTbuOgS+DHvgwEijMwAdePvjZXTrujwt5Aq8PmInqhAbv6BxEAi79DqggZVnot0Ee7CTg9u3bF4pbvIjAoyu/xqZ0qeDaE5lZmNz2cdz24X9YuVJKwyPI1/6bb74RdkNMBWx+F9hcmp3Q51k8IUsX5+cr3VytP5GCe36RMpXCfZ2x7rHeUCpuousWhmHqNIb8fFHHQHfxIrQXLkKmUcObbW/s0GdmImbgIHHNSqiCguDzyMNwHzXqli9AVBeg+4Aiysb8fr4I9LHFbfgwBH/0EWobKmr75aEvRf/Vbq9iQsNhwLsNAUOJFOD0+LGKrSIoIOr9xqJ7wBiBKb7NoHSTLNj+HvV3nShsXHL+PC69/DKK9u23u1cvG8DD3LywaFuPoZRVin5dvVoK4Tfj5+cnLAweeOABuLra++lcC5s3bxa+tSRamKHIuqeeekpE9lZFEZo6ha4Y+LYPkCYVN/pQNxEp7R7Bc8Mb445VE5BUkCSmf9LvEwxoULVRoWRh8MCGB7Dn0h7ITCr09nwIX4ypuJjK1cgt1uHZRUew+liyNEGmR8cGvvj8znYIdLdPGc/6408kv/qq5TmJil6zZ8N9+PBK+d9UBB0qdAkJQsB1HTQQCgcZ8NNw4NJhZMc64lJ0+ZHAiz7A+UaOGDzmMYT2GlIutae2EPsSHy950kbvFQXEqMpsWchf1nv2LOt6ej1Kzp6FumnTahNpr6ugw3//QRUcbJdCQ6I7+ei6jx4lhOUrRTJQ9B8N1JhTuMmihQSnyMjLF3K4LPt+BFY+QRsgPY8cBtz2I6Aqb2uQX6LHZxvP4vGBkXB0UFj258/Tf+Ldve+KdChiZsuZeKKj1cbjWqC0f7MwaxZpyQ6mMqc++hzKCrQeHlcWnslbs8Ob65FdqIOroxYHXhojigJeE3HbgZ9GiO6gkHAkq/Qi0nbZ6PUI96q5vyESsSkThARcKlhHYndZ6Lw0ceJEIeCSZ3JNDPaRsEzRwFQokx7NfRKYaeCxZcuWaN68+XX78V4rq04dxLN7pGj4fgWFmHgoD32+kwZDSdD+8MMP8cgjj3A0UUXQ32H0d1JRTrL8kSkQO2Mpxm5+SFTA9nH0EbYoZQdT9QYjhn66DedS88Xzb+7qgKFRV47iZxiGuR50SUko3H8A2otWgVZ78aIoWGWLQ1gYGq+VIvnMGPILoHCpG6nmNVWYt6wYS1XkKZLQ5/774TF5kl1xJabuQPc3lBWYs2KFKHLV8O+/4NiqlWU+XTfXxnUMBXHcteou0aes2H6eTyJ8zVQ0L9wrLfDgHsCvAgFWW4CiE6vxx6K/EGcKwNKIwzDIM4XN2s47dpbL3qlJ6H4y86efxN+GqaTEMt3j9tvh9/RToqAec2uQy6Jt/YfSc0m8peIwtnh5eQnR9eGHH76qgGBLbGwsnn76aSHQ2EKFz9577z1hx3BTsuFVYLuU0n7U2BDjtK8j0MsVEwacxPxjUmRi18Cu+HbQt1V+MsrT5uHhTQ+LKpVm7m9zPx5o8wDkMkncKNYZoFFdebSZPD3v+j4aO2Osacv39g7H00OaAqkp4saXRq8tyxcX49yAgVCHhwtzeefevavnRJuXAswfhJxDqcg46YKSHNVVvVcbLf7Hbluy/10iTlhyRw1kao39o0YjfJjokapfVpVZedykyeXSgWwhLyfHjh2Ex47b4MGoj+SuWYPEx6RicGQiT2b2tmbyZdm7d6/wL01OlgYFKHqUjhUUSVkp6FSy7QNg05vWaW2nAKM+AxTlL4y0eiNm/bQX28+lo30DD8yf3gmezg5iNJ1G1c108O+ALwd8KaJtr+bRSsc42+hZ6l+6XPE3G0hobNq0Kdq1aycaCbT0eC3HV1tGLngZsUU7IZMX48cBy9C50TVGLZP/1qqnEW/SYnio9HetMYRj76ylqC1I0F+zZo0QcJcvX45CmxQuM8HBwaKoJgm4ZAVQmWMOva6t8FqRGFt2Gl1HVOY7pajoqKgoIeLSIzUaiKhqawetXo/2v3SHTFEET4MBq2MS4P1uHpzcPEXBt4EDB1bp+900aAuA5Y8BRyULFEGnu/GRfzB+PP6jeEoFLWdFWQfOzPwRfRHPLZaKlHUI88Si+7uxKM4wzDVDt8EkvkpCLImy8SI13LaKevaiRWIQ/KoolWh26KClaC8JmHG33Q5VSIhIc1YF3LwDSxRJm7ngV2T/9Zfw4aTiXLbzTEbTLSVe12d0ycnI27gRXlOm2E3PWbYM2X8vqt77ygqgAI7ef/YW99Tuane0N30K32M/4GWV5FWLwW9K2akVsP1sOu6avwcyRR5cIiV7sfZ+7fHzMKnodm2R+dtvSHnd6qmrCg1F4BtvwLkr1zu41chl0fbm4ciRI3j77bfFzZ/t10WfHwm3JOBetgJ56WdO63/88cd26b8kTJBvLUVH3bQk7BOiIkX9kZ/NKO1biJGF4ZuZjfH8nrtQbCiGQqbAP6P/QWMPKYWiqtEZdHhj9xv495zVr5ZGCskAfcmBNMzffh7fT+uIhj4VX8ycyTojfGynRTyHpxdmwMlBgQ9ua4Peylxk/jAfOStXwX3kSAS9Y/VOJMjcW3kjKe6VJf2c9BkXZUJfIkORc38UKrsgb1+0KDygKA24JPLbdML8kY/i9bEt4ecqCbBn+/eHPunqwlrAK/+D5x13WJ5r4+NxYfp0yDWOIiWNHuUaNWRlHhVe3vCd85DdayU+9TRyaSTZtsha+/bCl5aKIWhatrRcdNdXEh5+BHnrpfRiM87du8FnzsNwal+xXQVVtx85ciSOHpXEEBK3yOO2UlXuKVqOfJnN0AXUoDcqTFmi4k2P/XkIyw5LUe7ujir880B3RPi54HzOedyx8g4U6AowrcU0PNbhMajk9iIbHceoQFhZgbaiSNCyUHp6q1atLAItNXpeVdYzxPjFs3E2L1r0R3q/i7lDBwDntwHhfSsUsCtEV4Qft76GjxKkFPue3tPw9cinURcoKCgQhTRJwF21ahVKbKIEzNAgIA0IhoaGXlGMrUj8rU7oN00Cva2QS61Ro0bXbfNA5+X2X4+H3vmceN7u9yScuOSPPxcvF8IxUwEZMZKHbeoJ67Ruc4CBr0IvkwlrBIq4/6L/F+UqPFOUbe/3/kNSjuQ3TYJtx4ZeNb0HDMPUI0hApTRwrU2krBBpL1wUllO2NPhhPpxtanoUREfj4rTpdstQCrNDgwZQhTWAQ4Mw0XcIawB1ZKQl0pREzJS3JKFI7uQkbAHIJ7S+X1/aYtLphKid9tVXorAQQaKe31M214NMvYeuc86PGYuSM2fEc3WTJvCaPeuGMjivhcf/exwbLkqWfLMbfYLlq2OwUV16TdyoDzDdvpC6Gcrm+2j9GVEs2yn0FzFtRssZeLLjk6hNqIDc+fHjoY2Jhde0afB99BFxjGBuPXJZtL35OHXqlChqsnDhQuFJa8bZ2VlYJpB1QoDNKC4t89NPP4mK8LaVwWkZEnHJY6+qUlkLDxxE/tYtcGzdWqRS2I5Q16otwrxeQLp0gnlPdzu+MozFC8Ob4azpG6yJk1KYpjSfguc6P1etm0J/Zr+c+AUf7vtQpHwSDV2b4tShidBpXYVo9cWd7dCrif3nlqvNFcVY4vPiRXrotIZvYVSRBoq/FtpXYFUqEbFhfe2N4sdHAz+PAvSlRZv6vwT0fhpJKTH48Od7cZe2PVxPXMKPphAsDOsFfzc1vp/WCa1C3HGmW3cYsqRCMlcicO5ceIwba3lefOoUzo8dd/VtUyrRdM9uu0qoOUuXiiYVD+sCx1ZRkN1khZXoBiV31Wqkf/lluQqxzr16wffhOeLvtSwkfFKkpK09ywsvvCD8tq94vKBCQpTSn3IMGPQ60OPRyy765ooT+H675LesUcmx8O4u6BBmFV02XdwkvGyHNhxq8Z+1FWcr6z9L0cIkyrZt29Yi0JJgp6zmG6b5h3/DJ4ekQZTO+eGYn7MP0OYDM1YCDSs/SHb32ruxJ3mP6P87+l9EeEagrkHn9GXLlgkBd+3atXYFLasSiuigLBMaoCRP3bKP1Oja4sKFCzh27JhoJOybLT8qI+a3aNHCTsglYZdE5ytFk9Dr33333dio3wff4dKNi99BPyx5Y8kN2Rjd1JxcASx5ACgpjZgmUXbMl0BL6/H9apxOzsN7a05BLpfhu2kdq29bGYapFqGP/GBNWq3ItKLsMFOJFiatTb+kGCaDEe4jJasg2ywisiqg9WgZIy1L69C6Nn26tgt4+SXrexqNON22nXjPqxHw6ivwnCwVQiT0WVnIWfyvEGVVJM6GhkJeCfud3NWrkfzmWzDYFPdUN2uGwNdehWObNqjP0OdJ15hpn30mLCMsyOXiswv4XyUik5l6VVDu4owZ5WulBARItVJuu61aI6n/Ov2XCIAipjd7AF/82wDb1Y8iRJYO+DQFHtwFyMsPvE//IRpbzqTBwWcj1L5SIMuHfT7E4IY1m0WpT08vV9St6NhxmHRaOLWr23VfmOqFRdubGEoBpmJhJMja3iDTTee9994rLBDOnz+PRx99VIgctr61TzzxBJ5//vnrupnUpaaiYPsOlJw+Bf/nn7ebl/rRx8j49lvLc2VgoBBvHVu3giaKWsurFr6qcta9DOz8THQPG8MxXvsaekYGYM4wGWatk9ItPdQeWDFuhUi3qAm2xG/BM1ufQaFeii6TG92Rd2EqjMUhkMuAF0e0wKweDYVP3487YpHt9i22JW6F3GjC+MQg3HXQFdrjJ8pX+bzzDnhPn26XjlTjnFopRU55RwBTFgGekt2GwWiAQq7A/guZuPeX/cgo0FrEuo9ub4ueiUdgLMiXLtSLi20eS2AqLrI80kikbXo/RfFevO8+mIqli3zyX7ocod99B5deN3FE+VV8k8ifKv3Lr4SPry0uffvC75mnhY2GLXq9XhwrPv/8c8s08i395ZdfruwTmpcs+bG2mnhZC4PP15/Ax/9dEM9lMKJboy1oW+CHnIycCiMxK2NvQJC4ZhZmzSJtgwYNaiVlOqUgBQMXSSnxTdT+WHxqrzWScIgUdXM1KA2s9x+9oTfpEewSjNXjV9f59O+srCxh50MC7oYNG+wGF20h0dwstF5JhLWdRlYV1zrISO8fFxdnEXGpkeBPA6CVFZfpOsUclWsbnUtevgkJCRg3bpywMtI00MCztyeGtxmOuQ/Mha9zHRi4rIsc/gP49z7rc7rZmvQr4Hsd/tmVtBdimPokhNF5uvj0aZGlovL1FUEQCl/feuMDSreVxtxc4QMrWmIS3EYMt8v8ytuwAQlzKk5ntoUi+JodsbeyuvTaa8j+/Y+rrkvXN6HffG03LWbkSGjPxVgnKBSiHoCIki2NlCVRlrKtVH5+qAoMOTlI/fhjZP/5l2QjJXZMBo9Jt8Pv8ceF9Vd9gr5fChqh+76SU1KtEDOugweLiEE1Z5jctMen/E2bRNEyKsxsi9zNTWRDet01pVoCtyh4afji4aLfKaATzh2eiuDsvciQeWPp/6bDUV0mGCMjBsakQxj8jxbnit3g7eKApY82x7H0Y+gS2AWemvJ1WKoDY1ER0j77HFm//SY8gjXXUyuEualh0fYWgFKZqfL7d999Z5eeSjfEJLrYMmHCBLEspYBWFhqNpgjagh3bkb9tu93JufGGDXAICbZuy6xZKNi56/IvJpPBoXE43EeNhs9996LaoZ813Rge+RMlJiVGaN9GjktjrHikOx76bxpOZ52+YlXq6oTsDh7e+LClAJocDsiLmQOjVrpA7NfUF7tjM2FwXwsnr/UYcMiEMXsB3ywbn4HSCqxeM2bAY8J4uyjSWuXEMimS0KniVNX0/BLM/nUtThUvhS6nA4xFDfDkoKaY0z/ihgUpEifLCr3GIor8NYl0NbnavpDNrRjZQn5U6V99DV1iomV6o6VLoWla8UUEibZkv0JiK9G5c2cRVenv7w9DXhqyMjOQXoRK+5EW+beC94jSgmLyQigc3oVToxJkbc1C4g/WbboSJNw1a9bMLnqW+iTu1SUoQv54xnHRXx+fjAC9FvBsBDxysOIqt2b0JYBSjTXn1+DprU/XWDZAVZOWlob169cL4bSsIEvn/toUoEmwPXv2rEXENQu6VKDO/Fu/GrQvdJ6l4mfmjJcFCxYIEZe5AkVZwLw+QPYFoOU4YPQXgNrFklni5sDXhcytCWXHnO3Vu1xxKzMk7in9fKHw8YHn7bfDbdgwu3Up5Z/m0/VgTRxf6Zorl7IrSsVZsrky98vZDfz0I5y7drU8z9+2DfH3VO5eoNmJ43aFX1PeeVcU8Lkscrmog+DSoztCbAaeiSyymdPqhDgrrA2Cgmosy4pErkuvvmZ3L6Xw9ob/s8/AbdSoOj8oS2gTEpH4+OMoLrXQMuPUtSv8nni8wuwt5uakcP9+Id5SIWRbyG6uyX+bqmUwYtg/w5CQnyAKiA10moe/90oFXxfM7lwuUxXbPgQ2vi66j2jnoKT5OMybWrNZOWSrcunll4UFC6Fp3RoNf/+tXKE+5tYmt5La6M1jqnMLQlFkJKpQ6jJVp/7666+FP6CtYNumTRt8+umn6NOnT6VeU5uQIEZQSaQt3L1bmMdXRMGOHXCYZBU7A996C0VHjqL46BHp8dgx+3VNJjG6bci0pghJk01I++hjqJtEQNOqlai8antxdt3IZNjf4V3M3x8IL+QgBiH4dVJbqFTFcFNLfxDNvJphQpMJqGkiPSPx24jf8Nh/j+FQ2iEMazQYXv5d8dXmWDH/v9NpULichJPvBhhNwLB9RvjauAeoWzSH96zZcBs6pO75YrUYfcXZPi5qDOqSgNgj0XDwjIaxxAefH+iAoylD8dlt/W4oYoo+C4WLEuBCBxVCNyZUWM191ChR/C39m2/g2LZNOcGWRoXNaX/kmU2enGSXkJ+fj+joaFHIqYG7HH+O0qFIB/T7uQB5V882hKZhO/gNfUT05epEqH2+gdJNinb06OmB9HXpKEkoscscIGGMiluRKGsWaavaf7a66Bva1yLabg5pgclxh4Cs85Jdi2/TilfKjAW+7glEDMDfsB7H+4RU7vhdl/D19cWdd96Jugj52pIVArWyVgcUhWsr5FIjy4Wy0ECEGRoMXbp0qfhtWqx5Lu4CNO5AcPvq36H6hKMnMGkBcGEn0OV+ywBGoa4QIxaPQDu/dri71d1o7Vv+5j+7UAtntRIqRdXYOjFMTUHZQOQFWXzipMgSKj55UlzvBn/wvmUZupFXBQZeVrSliE1qOHsOrv36283Tp6UhdrgUhSZzdBSRbpbm42P33KlD+yt6J9IALxUioghZIcJekh4dW7eBp811P4mjl557Xix/Nei1bKFtcu7TG3IHNWRqqkGglvpUeFbtALmaHqlWgdoanVqK511T4DZsqLQeLVP6KArYqh2uKMKS2F1bOLZti0aL/kbWwoVI+/QzcY9EtglJzz0vInvrQ3Sqys/XbtCfttvvySfs/H+ZWwOnDh1EKzl3Dhk//Iic5ctFxqNr375XFGwpWteSVVlEwTXWABvK0LWFiqGVnD0r5lMgziNxKuTnuyNA7gF1ySfolJgNjV6LtJLewMf/s1s3+dt/gSx3OLjpERnuDn9vSXOoicERsn5J/eADZP/xp13WgCsVpa3ZWEnmJoIjbW8iKLKJCot9+eWXQtR4/fXXMXPmzEoXVyFT7DOdu4iDaTlkMmiiokSKuXPPXsL24EqCoRj1j40VAm7R0SMoPnpMpHsFvfOOnT8VXRie69vPLr3CMSoKmtZkrdBavOf1pCjRz3rcVztxKF6KgprTLwJPDWlqmUdFTvyc/NDWry1qixJDCX4+/rMotqTMLcSmjQfw94rdOODrgZIWP0OmkL6Ht7P6I+KbdXDu0QPes2fBqVs9qpKtLQRWPgn0fNyS/jph2QQRbWyLySSDk6EpHu16B8ZFDoWTqu6LcvUd+ns35udD6eVlFzkTO2o0NM2bweehhyw3EVQMkQqUxcfHo6m3HOumOgnhlvjtqA5TFl/ZN9S9QXN4THwDUGmgdN8Px4DFgFxKndeYNJjgMAEd/TraRWPWB2H2SpzOPI2JyyWbiB5Oofjm+A5pxsBXpb+HitjxGbBe8oF70GMANqtLIFenYdedW+GqkQr3MTUP+SqTP25ZmwWy7hg6dCh+/fVX8ZuNTcvHlu1bcOfhmVCjBIiaCEycj1sWurw8uABoMgRw9b/ior8c/wXv75MErFHho/B2r7fLLTPntwM4npSLp4c0xbCogPpzHqxG6HrGkJ0NfWoq9Ckp0KWkQJ8i9U0mI9SNGokBcefOnWt7U28ZDPkFKD5xHCUnSwXaEydREhtLfi12y1FafsRGqbCOmdSPPxEiiKZZM8hUSuhT04QgS36I4jEtTXi5Bn/yMdyGDrWsV3T0KOJuq5wgSe9J720md+065CxeDEOppQH9lioSFlyHDEHIp5/YTTs3ZIgliowgwVQZFCgiWK0tGE6dOsIhJKRS23crQPc+KW/PRd66dfCcOhUBL76AunZ9mLd2nfAv9X3E3sYi9cOPkL99O3zuuw+uQwbzcZgR0Lkn85df4D5iBDQ2A+Ki4NbYcWKAQvKrLl+41uyN22SzfdRuwmOPI2+NVH/mSuxr1h1Tl8yXjlsymdAgzrRrCaNWVi4KWN2wIRzCw+EQ3gjq8MZw6tihnNfsjZC/dSsuvfIq9DbWbo7t2yPwzTehDq98tjNz65DL9gi3LhRpSyfRisRa+rq1MTHihEsjXD4PPGA3/+K996Jg6zZL2o5Lzx5CpHXu0d1O3LkejHSgNpkgtxEfctetQ+Ijly9YZD6Q0+hbwOuvQel5FQ+a0gM2kZpXjCf+PCw87/64tyuUtRydI1WqjYcu/iK08QnWx4sX7aKSPxorx+7m0rYOChuE97vNhS42FprmzVGvKMwEfrsdSNhLqh1w93rANUBEVFEF0KXnliI6Obrcak5KJwxpOAR3Nr9TREMzNQdF4F4y+1XLZHAbORI+Dz4gbvxJoPr4ybvwbOg+eJfa2iYVa/Bhak+YPMIu60tKzSBT4MHforEr+wc4eEqFtYhWPq3wUd+PEOBcSwX0qhE61g5eNATJhZcghwI74uLgQsen0C7A7HUVrzR/MBAvfT79Sj7EeVMgOoc74697+9bsxjOVori4WHjFm29at51Nw8yf1+JDtxfgCi36wwl46pyISLvloAG7FY8DR/4AwnoA05YCiooj4DbHb8YL215Ani7vskX3DsdnY8yX0sCHl7MDtj7TDy5lPexuMuhm1yzGUqQRXY/ZkvTss8hds/ayN8FmXAYOQOgXX9hNy/rjTyg8PaGOaCzSxG+2Qpw1hT4jA3IXFzv7paw//kDyq69deUWyDGvYEI3+XWx3TVwpv9i8PBG1ZbseCb3p38yzCLsk8pKvbEU0PXLYzh839dNPkfH1N1d9bwqioEhRW3JWrhTHPxJnldR8fKomW+4WgWwiHNu1s6v5QZHLVGjNuWuXGt8e7YULwkKCiq6JAsEKBSI2bYLK3xo8Iwq5qVQs1jKVInvxv7j0wtUHJSg6N3LPbrtpFIWes2TJFdfTy+RIa+CJPmMBRbspQNcHoD+1C2fHSrVrrkbIF59LEbCl6C5dEhoJ1fogcfequoN5O7KykPrOO8hZusxOJCbfas8pd/JxkaldewQqhkVFrajgFUV4MnWDspXRDXl5KNi1CwXbtosDkXn0hy40ve++2+5i3WPiRDi17wDnXj2FSFiVB5mKPEUppSZ0/vfCH0lE5R45AoNN2imhT05GfnY2FGWKp1FEAnlE0Y2H0ssTClcXKM7+DUXrQVC2Hgo3Ly/8MLIhCh1da0Swpc+ZhFldfALkTo5w6d3bbn7cnVPK7VtF+EvBwWjk3ghv9HgDCpUaivom2BJ0g64vjdrOuQgsvA2YuQpOaleMbjxatMT8RMw/tAiLTi+BSSl9NlSk7d9z/wqjeRZtaxgZoPDyktIzTSbkLl+O3JUr4d63A3yaZ+O9yP3WZQNaIWjKP/jwKhF0xKX8SzC6fgLP4hMooDcBcHvk7Xi287MoXL4KaQmJMOTmwJiTK6J9DHm5lj6NmFMqJ1Uj9p410y7FKvmNN8Q80RxLH52p72iZLnN0gkODylV6rkrohiZY3QHJhStghAFrPcIwISsOiI8G8tMAlzL+W3kp0jy66XcOx/niQNEf2CwU9Q2zsKBPz4DS26veFVqpNHFxKMjIkCqga3UIzcnA0KK52JzvirBiPdpk5cH0/qtQNesA9zFj7FZNef996BISpXV1utLXsO8bdVr43H9/uZTe9HnfCrGNojcqe0NRo5DNx59TgZRj0vMLO4Cz64FmUvq2Gb1Rjy8OfoH5x6zRyIPDBpcTbOn39M5qqw/kI/0jbkiwpWMKRafaFkYiKBuIjn10TWTXHKSUa0vTaK5JaLuqJdWuXZboWF2qNVJWiCalKHx9ELlNGlC3IruqYEuoG5f5PA0GpLz9tiS+EEqlSNUXN6kRjUX0kbpxOBwaNarx42ZdhX6D+qQkFJ04URpBK0XRkqje4If5dunhtlFmAqUS6ogIcU1N8zQtmkPdtNl1VVoXARkV3NTR69taLRAU1SYidM3Rumlp4jxbtqCZ7XUpnf/to2SDoAq29stCUXXM9ePSq1e5aZkLfkXqe+/BdehQUfTZVjCtDuick/fffyKVu2DnTvuZBgPy1q6F17Splkl0PGSYykLnN7JlkTk5Qq6hphEWLuI63VEDWek0uVv5Aumed90lornFsub1bNZ/a2Mstu3ZjfXqZ4AUSNcZXR+AMv8kmoxLhjZXCW3oRPx9/hgcEzMQnGFCQI6cqiJb3oOEWVsKDxxA8stWqwUq8G0bmSs9hotsBVtv2sRHH0NhtDUQybl7NwS8/oZd/R+GuRGu+6p37969mDdvHlqz6Xidg8QMuqAs2L5NiLRFBw+VS8siKDW66OgxOLVvZ5nmNnhwjW4rjS679OghmuXCODnZ6o9LtgpHj0JNqWJlxGi6YC7cY43as7CJIgGs0QBUofXzoUr0a9APPYN7immX/veKEK0Vnh4igpiEXyH+0qOXF+SurhWOIuszM1Fy9hx0CfH2UbMXL0peY6U4de5cTrSl1LCisqKtUikuiB1CG0AVGoIlhbtxxCsezipnfNLvE/FYb1G7AlMWAd8PkkTb5CPAX9OAO/+yRFwFuwTjfz0fxX2t78Xvh7ciW7ELa+PWwgQTBjQYYPdyR9OO4lz2OQxuOLh+fy51GI+xY8UxgKqcUoEBEjbo4iZn017k/GeCeyM3eIQXwrF9Z8ju/F3y7Cw12y/YsdMqvOblWfra3Gzoc7LxvAE4EQrMne6Ml7q+hLERY8W6ib8uFB7YV8JQeryyxVhYVKkK0kTYrwvg1NFagCBv82ZxUSYuIp2cbYRfx9JiL36lzRcuffpc9+DVhGZDsH/XCpiMKuxSBGIC4oRvF86uBdrdZb/w6VXSPABb5NYIm35Nq/eG7bpTsW2EAI+JE+wEsJx//sGllySbB0IVEiK876TWAo4tW4oL4foC+ZNpz8fBsVWU3fT0efOQt9o+de8hS0+OVLgDh/+GU9f4cqItDaKSx+VV39vmvGKO7Ev7+GPLc3WTJiL1mH7fjh07VlnF8+vm9Gpg8X1ASel207F6zBflBNv0onQ8s/UZ7E3ea5k2sMFAvNa9fITi5jNp2BUr+eGHeTvhzi5h15W6WbBdGrgu3LlL/BZJbLMlY9485K5afdXXch83DkFz7e0bzg0cJESycoKvTSP7mYD/vQxNU6undfGx43Y3iJfDkJ4hxBXbQXYSVakegNLPH0p/an5Q0aN47icOJ9rYGCHo2X0WCQlWwZbQ60UGFjWsX2+dLpOhwc8/2VkrUIEpusYsO4he76yByB82O9viEysVrioTyfzCi+I6UyyTnS2y0yqC/GltRVsqfOpxx2RJoG3eAurIJuWE0pqAxA267ryaLUHAq6/C99FHRQEzFulrF11qKtJKo+IpLZxqjNB343nnHVVew4KsMLIXLUL234vEedwOlUpcC3pOniTOKwxzvQS//951r+sY1RIAtfLXomSz17apAQGeA6CLDoSq4BIQt13K8rm4G0q1EUpfLfS33YEvdzwCg0mBJp5NsGjI7yKiXBt7HiWxMeWOjzTdFjr2Fx04IJotZAPTZNMmy3Pfxx/DhTunCG3B/7ln4T5+PEejM1XKdZ0BqCDNlClT8N133+HNN9+s2i1ibhjyIIqbKHkploVGSJ06dRKRtDTCW3aEqbYRaVaBgaK5DRlsjYopc+NKUCRXZYiX5+CvMxvx15m/MKnpJLzQ7mlk//XXlVeiolaeHgj5+GM7sSfr99+R/rl9mmFFaOPjy01zGzFC3FyrQkJF5J+KhNoAf7sLscnFWfC7uAldArsgxPUm8P9yDQDuWiSlfRdnAzGbgGUPA2O/tthYEP5ujnis1xAAQ0T0JZ2Mydf234MJGN4qEGqlAr+e/BWrzq/C3Oi5QtAdEzEGnQM6Qy7jlJOqhMRLisD3mHwHsh7tjYy9+TBq5YBJhpxYZ9EiX/0RilLBlqCLGRI8Lof5F+6hVWHBsAVo7m2NHK8oaoigwiJinkoJU2FRuVF4Y6F9deorQaPyduvm5pa/SaloPY0GTQ/aX6hl/PgTCvfvE+KYEHZ9/STBxM9XTJO7u1su1IY27oH31t6H+KQQnJedBxy2W4WtsqLtqRXiIV0ux7eFFL1sQoinEyL8rGmT1QUdY0kQso0eJAEq5Z13oE+zeilS1BYVmigLFbaxFW3JWqesSESNInbMUJQCpdsGf/hBnSqoSH6UJSdPoOjYcRQflxqdU+mc0HT/PruMERKfy4q2FWEnkF0tWkmptEZ2OqjKZahQxWZbqEgHtazffhfPVWENxDnLqWMnUayyxkQYowH4721g2wfWad5NgEm/An72GRP7kvcJwTatSPobVMqUeLzD45jaYmq5mxyD0YR3baJsyc/WQSmvlB1T4d59Qqgt2LFdDLbaUrhvn13RRaIyBZWIiqwESEy/nKhnC/0d2Iq2Qlwti1JZejyxF2Pp79T2vX3uv0+0q9/02kMD0+SJWlIq1JbExIrfeLnfqckkrBNsyVm1SojMdOxzaBwuReWSxUJ4Y3E9I6xAZHIRQVU2kpnSR0WEU+kgmBgMo+9bPJdJlwRyufTbtzkmCBe3Uusr298Hba9ZdDULsGKQzWZdKo6T/c/i0uWyYcjOgamCArtUJKqsaEufSckp62+vLDS4T9GzFEVmN12jQeArr6C+QNFiVenpyFw/9FsKePllEWlLkfY0SEJR8ZQiHvDaq+UKNd0ICY8/juLDR+ymqUJDRbE5Gpgq+/fLMHWBuJw4zFgzAxnFGRgZPhJz+8wFcgYDB34GDCWScEuFYGlAzaRC998PQxZqsFiy0TWVJjJStIpwHTxIBHFRXR7yIqdH4fNdBocQ+yw4p3btRFF2qj9T3dHxzK3Jdd0pPfTQQxgxYgQGDhzIom0tQj6o+du2ixs7137WYl7CgyUoEPokyQaBfLOce/USRcRIsK1vI+nigrICP92w338TF9/61CQYvp8AQ1oy9CVybNF1QePILvA2FEGbkY6fTdab3K6BXaXowauh18OQli6EI1vK3sBIGygTvrsOoSTEhoioWYew8st5TS0j0lSAp8YTEyIn4KbCtylw55/Az6OlE+rh34H8FKDtFKDpMMDBPmrWUemINr5tsGBXHF5eehwLd1/Eh5ObYuPFjWJ+kb4IK2JXiEZeqFS0hgTcMLdrj75iSilIB06tBNpPs4jplLrp8+DD8PzncWRmtEHmvhwYCyS7C0ORFraO2VRAsCIKVY5w8vaA0t0FibJsRLTsgTAbwZYgz1yv6dMgd3WDwt1NCLX0ehXZqdii9PBAw38WiWMAHQtFBdqC0r54bu0rfexvqummXhkYKM0vKBB/7xW+h59fORGp6OBB5G+QfosVQYIbrec+erQo4DGkUX98n3geB00RyMnxgcbdGUq3CLvPD8U5QOwW0V3iGYh4t8Vw1m1ES/cHxfsLUdWcOq/XS48ijb70kcQmvc4iPth9B/v3Qxt3wZJ2LyJl06yRsrq0VBgyMuE1Ywb8n3nabj8oAqeiLI2ylBXA6VhIqWEKTy9Rabr41KlyBS5FBWoSYcoItuQHSdtojsy9US/1q0FiDt0Qm0VaIdBWZPWv14vIWNubZpe+fWEoKBBRdGahdc2FA9iVvR46BTC4qACDSrRQ3mONv7X1UaP3sQq0pY9XKRzq3LWrWJcESRIeKcrPNtWPigLlUFu2XIi2dvuany+i6ao8+qMgA/hnNhBrU0Sk+WhgzJeAxv7YkFaYhvvW3wetURII/Rz98EHfD9DOz5rxY8u/BxNxKlkaoG0T4o4RrSTbkMtBAnbKe++jcO/eiouqloptzt26ie/e9nrIdfAQIT5a/r50pX9zZRpFUpaFMmZocKnc8mWEUBJ3baE0S4p0tEbJ+glRtTr97yhK1raIFUHHGBKUScAtiTkHbUys+Bsl0dgWmi72Q0Tbp6Jwl70Hoe3fRug3X9tNi7t9EnQVDGiXxf/ll+A1ZYrlOWUyxQyx2V6z0FvBsanJju12YhPZTBTurngbbanoulDYuqhUUHi4iz7ZA5ijZyljQKTHciQVU4XQ78lj3Fi49O2DtI8+RvbfUtYgRXzT34/nHZPh+9hjlx3svhx03BHHFZvfK9nuXCLRVqGAa/9+8Jg0WZy32XuTqcsEuwaL+0BiV9IuMagnazJIEm2Jg78A2VJxxEOmCJQ4JMAcjkCi7dWgQVXbgVVrttX5UiFXeiSbm7J4jB934zvIMFUl2v7xxx84cOCAsEeoDCUlJaLZmu0SRqNRNIJOIuLG1GSSRtRLudp08/rXO10ul5d77Wudfr3bfr37RBeW+Zs3I3/DBpGOTH5mmtat4dynj2UbCa+77xaPNOJDN9C22277HnVhn27ke4KTE1Qnv4WD6gIQBOwzRuJF3IclD/aCv48zvj/6PVYekqLbugR0Qf/Q/uJGquGypWIUmz5PY1YW9JnUMqVpNo1G22y3R928uRCYlCEhIlLWITQEyuBgKEqL0dguS/2b6bd3I9+TKbQLTOO/g+zv6eTCJ0XcxmyCqfkomG77pdxrZxWU4N01UoTLvgtZuGPeIfxv7Gc4lLUBa+LWIE8r3cQnFyTju6PfidbWt60QcIc2HApXtWuNHyNi0wvw0844nEjKxaL7u9m9NqX2JmQWwsNJBQ8nB3g6quDp7CD6Crmsdr4nmn5xF2T7fwROLoPMoIXJrzlMwTapcC0nQNG4P3zcQ+GRkyPsCErOnbVESpm30bl3b4R8/z2UHu54P/oIFp1LQ74hHCqVEr/O7oyODb3QpHSfbLeHto+iAivaduKK+0Q+gaVez5X5nmxfy234cLgOG2ZZXgiiVNWWBoGyskSKIgkSMrlCuiC0+T5o3pWg1yLxw1CQL96zd6QPvt9+HkaTDPFrHaEw6oA//oL85ZWSKKxRw5SXAVO2J2AEWsmABpNNuOiXgz6NI8VrULRY8nOlBeKuAB2vInZst/u8sv78E7nLll91Xdovu32lCwRvbynCgHwUvbxENBZFAglhydcHKooy9vMV5yDbz9ehcWM0+OEHyzQSmkXUmvCBLI1gPXkK6hbNxTK231PWX3+j5MQJy2vRgBgJJeqW5AXZUkQOqnx9r/n4RhfdRSdPiptdshSwTNfrkTL3nct+LiSkqps1Fe9NUei2+6kKD4ffo4/avWdUSlfMXSeJ+rJCJcanZMHokmVZz7yvChsbA9ttL/v3UXafZGQpNGCAKJwh7ITy8lB86BAK9+1H0f59KD5yVJzjNBRhqVbbnYcuvfw/YSnk2KF9aTRuR1Gl3lRGeLqm81NRFuTf9gFyJDHOJFPANPBVyLrNETf/ZZf3cfTBnHZz8NH+j8Q5eW7PufB29C73d0aU6Az4aN1py7rPDm1qmS+OA2TDUlxsFyVInw+lFNt/iTJoWrcS10PUNK1alYvkpOY6YjhcK3nOLfs9NV6xosLlxevr9SIln7aDojAt20/fjasr3G+/ze71abo4Ppd53+q8jqBjujI0VDTnvn0uu6+qkGA4duwA7bmYKw+Am/fPdtsrXfe4zLWUwX6/xetcZjBJR9dtpeKU+JzN4hZlT3l4WARYhbuHyIoQfQ93qAICyn02wZ9+IgZTyn6Odt9TJc7Rt9z1Hu/TDU+n32rgG6/DbewYJL/2OrRkpUPnx99+R+669fB7/jm4DRt2xX2i1yveu1cMhOZt2CisTqjomXnbyTOXbGPcxo0TA0bidfh74n2q4/ukgAIdAzpia8JWEW17OvM0Ihv2gkyuhMyoB05ar3dJE3BxS4I5LCPKO6rCa6yr7RMVFFO3bCkG7W23pex1HX9PvE+m69insvOqRLSNj48XRcfWr18PTSWLMMydOxevvVbeoywtLU1UXiYcHR1F1TQSdIts0sucnZ3h6uqKrKwsaG2iFaiympOTEzIzM6G3iZDypEq4arV4bdsPjKqXKxQKpJa52fbz84PBYECGTeQDfYD+/v7i/eh9bYt7UUV02j6z8Ew4ODjAy8tLWEYUUMRWKeX2iVIH5Yrr2id5dg6S/v0X2q1boT90yC6qhig+cgTJx49D7utr2Sdd//5iHl1Sy9LSqmef6sD3pDu3GQ7R30qfg0mFp3X34dWJrRHkosDxi8eFmEcoZAqRdk/7I/aJLuTd3ODYrBk8Syv2GYqKxB+E0mafaNu1NtvjFhQkCgOkp6ejUK+HSLLLzq7bv7068D2JffLuAs2A9+G6+30oCsgxHtBGDEeWzes4KACvghgovaLwxfgmeHpZDNIKdEjKLsbzv+kwd/RUzOg9A7vSdmFd4jrsS98HIyldNKKadkg0f5k/OoV2qrFjxJGkfCzcn4KtMdlC6PJ2drB7Hfqe/tobjyWHklARrhoF3NVKuGkU6N3YAw/1i7D7nuh11Uo5grzdEeDlCmNxHhxk0s3wde2TqwNMh3+Hae98KLNi7OYZo+cjrUeDMr+9BigqLEQuHa/HjRV/H/n02yu1yhG/PRJAIhrjnT0rsQFfwRTuCMQ9jDeGtUGoo04sVy+O5UFBKHZ1RSFFapUKwuaqnua/J80H70OdmQV1YQEc8vORcz4OupRkGNMzYMxIh4xSGtPSoXV2EdsZ5mSERimHQ0EeFHQeMH/WBQVSVKd1y6TPBCY46Ej89cHIplHiNbQVpPNWBBWuKvvbu2JVeIUCMjrHeHlB5+FR7ntyevcdyJxd4B7WAM7u7uK4Z/6e6FtxLv2eUlJSYLJ53wq/J3d3+I0ZDeeRI8T3pKbo4cJC8R2bv6fMlJRyPq+iECU1G+8wEo3dSCzt0b3C414hDbqdOwf96dOQxcRAf+aMFCFI6d6jRsH5yScsv71ckwlyf38YU1JEVB35TzpGtYK2QSgUkZFQNGwoPsPK/vZ84Qq50QVGeT4Ok2hKuuaxlcjz7FB9x3KK/IyMhN/990EjlyN52zYYtNbfAv090XvkR0fDlJmJ/PUbRCPIf03esiVUrVtD2aY1FE2bwj84+Nr+niKHAHu/h8HRB9mDPoYuqDMcsrMvu08zWs6AC1zQ3bs7DHkGpOalVnh++nVfMpJypOvEHo080MhRi6QtW6Cj/Th4ECVHj0E9fhycHrJGMnv7+MAhIgK67GyoOneCqlMnKDt0QEBEhGWf8qjQYk2ec6lIqfm4l5tb945717JPY8ag4V13iW0vTk2FIS4OxgsXobiUBBlZixQXw0iWVk0jxfba7pOsbRuoKFvJZIKKbEBImBf3ASbAKFkgOFC0uY+P3b4aC/JFBgHd2Ogpq6DULoEEVQ0N4Li4QE/FadxckVWihSYry7JPJV26wGPVKsBRIz5zc4Vm233S2F7vlT0/yWTi861331NtX+/xPlXJPhWFhcHpqy+h+Gcxin78ESguFoXjsvbuRXGHDhXuE/k1a9euRcnyFTDaRLYn//wznEujw2mf9EolDOPHQ+xVaip/T7xP9Waf2nu2F6Itsfb0OiQ4jkCkU0s0yD8sppU4+sNUmIl9xqaQa9ZJn4PSEZ5GT7vtrEv7dDN+T7xPqNQ+2b7vlZCZysrNV2DJkiUYN26c+IDM0IdCHwSp1BRRazvvcpG2oaGhYqdoR24VJV42r6ck3Pq3hMw/CiZqfi0A10ARkVDRNpIHW/L//ofiw9JBqCwKHx+49O8P10EDReErurGsb6MLlZl+2W3XFcL0dXfIsi+I56/rpiKz1Wx8PElKD35u63NYFUfFfYA7mt6BF7q+UPf36Wb8nspONxmBC7sgP/EvTINeh0nlZH3ts2sh+30yTG7BQMvxSG80GrPWlOBoknRAI53y+WHNMLtHQ7ENVMyGfG6XxCxBTHYMwt3DsXjUYvGe5m08mHoQSrkSLb1bQiFXVMk+USTQ+hPJ+HZrLPZftI82CvNywn9P9bF77Rk/7sWWM1f3UL2jcyjeHtfK7nuKenUdCrX2UUUOChncSyN2/d016BHhg2Et/RHqZfNZlo1wStwP2YGfIDu2GChNLTJjcvSCrN1dMLWfDpNX+DX/9qgK/MNr38LO9MWWZdp7jMCPo96uW7+9a9inG51uPjcSE3/+GfHpqzHh6CkMdOwC32KtZE9A0a1UXMikg0xmQIlShiylDB+NUyAvcAg2TP9AvDalwWd8+aUQFeWqUiFWpRTRguYiRyJFX+MIn0cfsduWwui90MZJnqwypUpYT5DflvDfpWJgNqmQtf09kdijjYsTkbbFx09IjydOSBYWZQj5dh6ce0qFJQntuXNImTtXFGwir86yg5tmKAI17K+/7LaRKmZTZBMVbCJbjhvdp6G/341Leikb6Z+ES2ji2gCmOftq9VhO1iGJTz2Jov0HrugHTz7OQe/MheuQIZbXJusRihZVUvGp0ve1+wyMepjWvgBTz8ela5rS9xT7f/Yf5JbkCqH2WvapRG9Az3c3w5Seho5pp/GYeyYUB/YKQcIWsoNqtMIaWSP+9rKyILPxlr7c537LnHN5n3ifeJ/q/T5R4bDUue+Ic2KjZUuF1Y0txYcOS1G1a9aUs2Uhn3kqjufz4IN1ap9uxu+J96n69ykuNw5jlkrFXbsEdMXWbeMxy7QEz6mk4sR7mj2Huw61gEmRB8fId8W0jv4dMX/w/Dq7Tzfj98T7hEptO2mjJOLSgLJZG73hSNsBAwbg6NGjdtNmzpyJZs2a4dlnny0n2BKkIlMrC31A5lT+sjtQlstNL7v+9Uy/1ve8run6EiD1FJmGAWmngGP/iAgDsbSjFxBAAm5LGD2aQh41HHCV0lQc/P3KVVWnKtyugwYJodaxTZsK/e9qZJ/qwve04VWLYBttbIrNHuOxrFTwIqHOLNh6qD3wULuH6sc+3YzfU7npciC8l2iWvwMzRxdJy+cmArs+h++uz7HUuwlWBvXEB5da4YIpAG+vOoWY1AK8MTYKfs5+mBE1A9NbTseJzBNCHLA9DtE2vrfvPZzIOAFvjTd6h/RGn5A+6BbUTRQ6u9Z9KtYZsPhAIr7fFivsEGzxd1NjZo9GuLNLg3Kvc0+vcAxs4Y/sAi2yCnXILqRH274OucU6eDk7WN6LHrUGYznBltAaTEjLKxHtTGo+tp1Nh6eTCmE+5YtWiW1Z/z9gx6fl5qFBd6DjLMiajwJUmvLfRwWfQdnplJ5075rHcDbXOrgU4dgH34x4pdLH+Jvx78n2dxjsl4Oz8pNYOACI9WiKb8c8BeQkAnKldLynE3zaaTyy8zX8lyMd8yeH9LW8tkvnzqJdD85dOot2LdTW96RQKuEYESEaRo8W0ylNnCr9kohrLgxGN62OUVF2r08ZJ5fz1ySxW9OkifDIpYg92/VEmqiN+FsV+9TOvx0uJUqi7Q7XQERGDJTS9pQOtXYsJ4/qBt98I7xLyffV7IlLzWATjUA2IeTdbvva2UuWIOWNN4VgK3dyhNzRAQpPH8hdXCF3dYFCPLpClbgKPvfeI9Yhz7k3d7+J/XuWQm2QIarEB+0b94LCxUV8H1fbJ/32LVi4+zOYYqwFxMrK8CTYOvfsARml4dvYHVzOB7muHSNuxuMe7xPvE+9T9eyTOiQEoV9+IazcxABaKSQQJD76GPLWSRGFtjh17QrPyZPg2r9/ueKXdWGfbsbv6Xqn8z5Vfnoj90bwd/JHSmEKDqUdRLsG07DlfBs8B0m0dYnfDB1aQ+lozXBs5duqTu/T9U7nfUK936fLzbsh0ZbCfqOiouymUTgwhSeXnc7YUJAKUFQtCbbkZwhrwGHRxXzk7TyEvIRTcPYvQeAX4RbRliJ/nNq3hiEtRfjXuY4YC3WzZhX+GG45CjOhPbIIdAlSZHLAC4YH8NmdHeCiVsJgNGDunrmWRee0nQN3tbXSPVOHaTEaKMkDYjYCJHLQAS3jLEbhLEapgUPGxlhq6I4V+7oiLqMA39zVQXjD0t8ERdKW5WzWWSHYEiQu/nvuX9FUchU6B3SWRNzQPgh2Cb7qplEV82GfbsP5MmJtpL+LEGXHtA2+bFXznk18RLva6+vLjMSRlvfSiOYWgTenUFdG7NWiWGeEXJ2MFqEtRcQrRRXTijtjMjB/+3n0beaHoQG94YtS0Zb+FtpMBjrOBPzKG+lfC4dSD+GRTY8jqyS9dHvlaO04Db9OfLzSJ6FbgTuihmDzZmmE/1T6BuCbpUDyEaD300D/l4QYpvNpjH2F0iCUm4MbnulrXyjoVoU89tSNGonmPnKERcgtWyyl2GyrQF7HTcjiQCpkpmkZBXXTSBGJXFOMaNIdqxIl254jUcOA/u+hrkADveRjS42KY9INv/Z8HAr37RUCbgl5DZcpwmHMy5c6FA1Nxf4KCqFPL+9nSp87ibZU3fmJLU+I4++L641oE2cCfngWZ83boFYLkZcEXHqUuzjDfcQIeEycaN1OlcpOsLUUEOvaFc69esKFKjQHX/24zTAMczNRdlCKCgbmb5VSxQnyavYYNw4et98OdXijWthChqle6J6ve1B3cT9XYihBo5AU/BHbACkmD/jLstGg4AiU0MPBOcGyTmuf1rW6zQxT44XImOvAowHwwHZAr4Up+QQKNq5E3pYdyDt8EYYCaxRdXqIMAb4t7CLdQu/tCfnG54H8fcDy74HolkBAK8A/SkTowqepJXrnViJF74QpuvfxlGEedhubY8rwvogKloRZOoifzDwp+pGekZgYab0RZOo4LcZIjaqRn1wqRd5e2GGZ3VYeI1qALBM/Z86GnnzwroCfkx9e7fYqtiRswe5Luy0VR3VGHXYk7RBtbvRcRHhE4MM+HyLcw94awBYqGDawuR++2yb5kHYN98J9vRujb1PfKhlIodcn+wZbNCoF7u4VLoQVKrp2OO2w2Kf2/l0ty5CIPG3dGNy59hMoIIOPSYYAlyBkaEMQm6nC1i3ueE3vjpecOsPVvy/Cus9A2/BAKBXXL6rS9vx5+k+8G/0u9CZJXDfq3NBaNQcLbpsMuZwHlmzpHtYcGlMgimWXkK1MQmZivPAExunVkmgL4EDKAeTppLT1nsE9oVJcwYv2Fqei6tbkNe49+25RVIgsDmqTbqGthfBOx5W2/uUHk+oSdOyiG3tqVE28IlQB/nBuFghD6gUYdTIYdXIYDEqYdGVSzFxdsS5uHf63838o0EmDWy5aOhbYL0cFVA3U0qXBHoIyh2xx6tRRKv4REQGXnj2EFYZj69Z2EbUMwzC3OtmLFokMCSoyJqJqhwwRBQ8Z5maGMibpfp8wOdKgfRu8q5uMIH8//HSpAfRQoplzR/SPaoijaUfRyqdVbW8yw9wQN3z1u3nz5ht9iZseY2Eh8rdtR96GDcjfvLliPzmFHJqIBjCUyKC0Zr1Anm2tnIzCdOD8FqlZFlBKwm2TQcCg8gXfblYW7U/AuUIn3I/HMLCZH17p3tAyj3xrKIKSTMqf6/xcOSGMqQc4e4u0fdGy44Hji4GjfwPJkj3LPpf++H5aJ/i6loozecnAxV1A5FBA5Wh5GYqwnhA5QbRifTH2Ju8VAi41EkHNXMy9iADnAMvzowk5+Gr7XrwwtB1CPbwt08n+IDm3BPf0aoTWIR7Vtvs0ckwRwodTDwuhllpakeSJOzJ8JNr7t7csG2aMR75OMmE3wIQUmQkpBTS6nAAH66bjQ4pKTzRCP/8Q3B2Po3ekLzqEA0nGjWjoEQR/Z3/xGQQ4BcBLI1Xfvhyv7XpNeFWa0Rc0QjP5g/hx+iAhPjPlubPVMPxw7AeYYMK24OYYE38cSDkGZF0APMOwOd56Lu0b2rdWt7U+Qr9X8uqtC1Ak/5ZJW6So9/pOYSbc836Ge9v91mnNRgJjv4ZJ4Sj8hg35+dDmZGHB6YX4asuTlsUauzdG5ISecE3NhzE/H4b8PBG1W7ZPEbyK0nTflNxiuDuqRLHbyG1by/k2MgzDMFb8HnsMPvfdB7mj9dqXYW52ugR2sfRj8w7CRd0Bi0t6A5esy/Rq0BlPdGhWOxvIMFXMNRUiqwrMlbivZrZ7M1F44AAu3Dml3HRKEaQ0P2F90LevsEMox9kNQOx/0s198jFJuK2I5qOBSQvsp/08qtQzMQhwC5QKhLgFWR+dfOyK0NQJqFhbQRqQdwnIvQTkJUmCnG3/7g2ieNUfe+NFIajFD3QXKfJlIdGrhXeLWtkNpppIOw2cXQd95wehVNqI8Ts/B9a9BJODi+TP2moi0KgvoKhYNKHD3pmsM0LYJwGXxN0v+n+BzWfS8O2WWOyKzYAm6Heo3Y+hU0BHi41CmFtYte0a+TBTlBoJtBQpTlYHFREq12CVvJH0d1KQhuLcBHzk6YFkpQLJSiVSlApkVuB1TRReuAeGwsaW5wrn03Bq8GO55RzkDkLEJc8oIeQ6B+DBtg8KMYpYdGaREG6J6S2mI0x+GwY3D4K7E0eHXun7nbZ6mugPdGqAj49vt8wz9Xke/ZM3IF2bAqVMiS2Tt4hITeYmgs5hMrnF/qhekHgA+GsakFNagZy2f+CrQPdHhKWHGRoAe3rL0ziUdsgybUT4CPyv6/8q9A63hawujIVFkCnkQnSY9kM0zqbk4fFBkZjQPoQHgRiGYRiGKcfty2/HpYJLIuo2PXY8Np2y+vMT303riEEt6tE1F3NLkltJbZRF2xqAbkpOUaGTzCyRPujSt68oJObSsyfkTle+oSlHXgqQchRIOS6JuCTmpp8Bej8D9H3WupxBD7zpKxnnXg4SYFwDgNGfA437WacXZgKpJ6zirk3k4g1BXqVm8dWzodTMpJ8DfhktibJUsO1KzNkP+ESIrs5ghOoG0ryZmwPTN70hS7YWwhLQoETLcUDLsYCLP0Dp5s5+gIP935xWb8SSQ/GYv+0CTqeYo+ANcIl8AzJFsd2yDd0aikJmJOC29WtrETGvOYr24E9oaVLCoSgTKEgX4uvP+efwgSyrwnWcVc6I8olCG40/2u76Hj2LissXDFNqpP3tOAslga2RWpiG5MJkIaiQWX9cdiIaq8Zgf6wRW8+kIbdYD5VHNDSBi6+6zY5KR+y5c49d9O070e+gnV87DGk45Jo/g1sR8tru91c/ZJVkwVGhxraYs1CXnn0L5Ur08h6CEsdz0BhDsXf2IvYuvwmgqNHTB7Ygau8L8Co4B/R5Fuj3AuoFx/4B/r0fMJRWIXf2BSb+ADTqXW7RWWtniSwGgo6JlOFyW+Rt1/wb3nEuHVO+3yP6wR6O2PhkH2ERwzAMwzAMY0taYRq8Hb0hl8lFgeg3V0rWiP8b2QLDWwWKrB1HB76GYOo2ldVGb4Lcvfrhv/fbIAdclKlgaBeOVoHeaOtnQjvkww/XKNpSlA61iIHWafoS642VGRKDFA6A3l50soOKolEETVlRNn4P8Ptk63ONh02EbqBN5G4QEDnELuIG5zYAGTFALkXFXrKJmL0EaEuLmRCD3gB6PGLzHu5AbuJVd9+kUENG+1aKWbClsQfyKXWgfWZuLUwm/OQ8C076fzFMEQ03WaE0naLS934nNTMTfwSixotubrEOG9etwKgDszHSpMQQKKBVK6GFCvlKFf4sUWOXRoYEuXVcKy43DnEn4vDziZ/hqtCgp9wVdzs1RqTaS/p7E78/k0WINeWn4FJQKxxpMcxic2COol2QlIy2Jda/2zZqByBIsmhoqNWhTUkJ2kSMRJsuD4s0Y2HzkZMAbPqidA0Z4OQNeIQCrW4D2twBOEkFKsg0ItQtVLSyzOwK6A1G7L+QhTWnfNCv1WBklqQJcZfawaQ4nM1IgFyVYxGtHWXeuJBRiAZeTnh1+XGMahMkhBmm8tD3RxHbS2OWoshQgr0ajRDfCZNXC2TEUzaGAZ1aOLFge5Mw9ssdMOSkYJmz5IONcxvrh2hblA0se8R6XRHSGbj9Z+k6oAJe6voSJq+YDE+1Jz7s+6EYYLpWjEYT5q6WbriIJwdHsmDLMAzDMEyF+Dr5Wvo9IqzFnnfGpKNzswLo5O4IUYXwNTVzU8CibQ2QVZyFJeGlIfvZx3E4+zh+PfmreOoo84GfQ1MEaZojzLklJrXphAg/qaAWUVCix8XMQjg7KOGkVsDJQQFHlcL+AKRUS80WFz/gxWSgKMveaqCiR4q2tYUEV1uKs6VG0be2kND63EX7af/NBRL3Xf1DoYhaW0h8cguGTuOFVHjhTKELjuQ4IdHogRSTF5JNnkgxeeLzWf3RK7S8byGluFPk31Mdn8KABgP4AH0rIZPBveVAPHfKHy+XzERf+SHc6RSN3qb9kBvKDFqUivp7YjMw++d9aKGNwTi1AUpZmehuA/C/FKl8znmVEpudHLGlaT8cSj8CY2n0ep6hGKsNxZh9/Aig01lWjVUpsdXREYc1ahxWOyAtPQ3YuqncZh9Wq+1E2+ZaLb5Ky0ZrpQfcnYMAL18gbDDgGWldySUAeGCXFPVGAu11+jVTEbIu4d6ileW+Bftw+HyK9EReArkyGwVyHfoe2Qw/VzVS80rw5954fHZHOwxpWebYwVwRhxIqhLBU9Jf4NEPPeCmdfL9Tr9IlFBjWvGktbiFTlXiFrkWc3zYMVgRh14UEOCcdkDJZSgdX6iwnl1sHWcluZsIPVyx4Gu4eji8HfCkKf5LVzPWw/EgSjiXmSm8Z6IaxbYOvb9sZhmEYhrmlaOrvCm9nB2QUaLEnNhOv7PwOZ7JOw1vjjfUT13NxX6bew6JtDUDp0PrsTpA5XoBCLRUMMlNkSseFEmo7sCsH8HT9EBF+gy3zjyZkY/J3UrqgGdIjSbh1clDCWS2JuM5qJRbe3cUuMoXElQKtGmG+LSC/lgrWtGy3OdZoWfNj2WheirQtC0Xglg2YJU87Wz9dEoltUiwpPf3HHeexzvF7HLiYRYGT5XDVKNG/mR88nMpXBdcatHhv73tIzE/E45sfx3eDv0PXwK6V31+m3jO+fYiIAr1vwX6sK+iEdfmdEKjR4ufuaYgsOVEajV4CuEtCQIsgN2EvUAwHHDE2gpca8HEENHIDYNCVLq+DzKBFuK4E4Tl5mDXkR+ToC7AtcRu2xm/F9gvr4awrRqSNYEtscHLC516XL1LWyL0R2ijcERkWDvh3kgRYF1+onX3Ry8HFPnK9LOTR61+9Ps2fTGqHXbHp2HQqFf+dSkNittrumGK2JWGunbHN+uKvi+9AJtdjj9wN8AoHHL3weV4fSpkQy/Rpao0cYOo33q7ARUM+TJDhiNoB3YpLpEKiZGNSl2l3F+DVCNj1JTDwNTvB9kjaEXx/9Hu83+d9qBXWY0OngE7X9VbnUvMxf/t5LD5AxRMlnh/WDHL2smUYhmEYphKUGIsxtLUnikqU6NTIBe+cPCumk30CC7bMzQCLtjWAt8YPDtmTUZRqQCHyoHCMh4IEXNHiIZNLoo/JJEdTD3tBZk3CP3Bq9DcMRWEwFDUQjyatDwq1BtHSbRwHynq7/rUvHh+sOwMXtVKIVC2D3BAV5I6WwW6I8HUR0XYV0qCr1GwhJZUihGyjdMlDsywdZgJNh0vCrNlGQe12RSFKpZBhwe4LSMgqspse4KbB4Jb+GNwiAJ0becFBWfH2LjixAPF5UqGUjv4d0SXAWlGSuXXo2NALSx7qgbt/3ie8aS8VO2DY5hA81K+viBC9q6u1iJirRoWZPRshLS8Izr1mIcTX5fIvTL99KpAnV4gospHhI0XT5SXjUvpJyDRektBLgxr6Emw5/CGQd0Gs6qJyQSufVmjt2xptfNuIx+uNRKspyP+pfzN/0UTBtpT8UgE3FfsvSp67b42N4ijb66BVkB+ccqYgPdMLJcYAFL08GDFZCdj72QFhakHHaH+3Co6rTL2kT4POOJi9WvQPajSSaEsWCXVdtKXzdcOeUiuFjgW/nfoNH+z7QNi7vBv9Lv7X7X/X/RZHErLx6Yaz2HjKfiC7T6QvekfywAXDMAzDMFfmaNpRfHLgE1Hs98mOT2JK8ynYl7wPxhNScAndgzHMzQCLtjUAiamHXxlsiVCTBFe9eMwtKsGZrFM4mXUUGcUZaB1sf7OSVHQSCk2KaPCMFtPkJheodI2A4obQFzZAUX4QZFCVq7J8PElKNcwv0SP6fKZoZtRKOZoFSkIu3SRdVYChmzhnb6kFXOEAGDGgwskUTbs7NgPrTiQjJbdEVHS0vrRMCLM/7DiPSH8X0SextlWw+1VtDlILU/HtkW+lz0UmFz6bbI1w6xLq5YR/HuyOR38/KMQAg9GEzzaehUYlF6b0Xs7WiLEnBtnYDlwJ+j1RhGsZVK4BaFDGWoTEjNYZ0RjnMUOItJQ2LLxo6yn0t9Q0wFW0B/o2Fj7A9Lfs41I+4p2p3Oc5oMEQ/J58EVqYsPt8Jr4+8S5cmuyCoTAc3cJtikky9Z6hEd3wyRGpv19DYnwOEPOfNBBUj85TBboCvLrzVayJW2OZFpMdg2J9MTQVDd5WAhqktRVsaXB5cqdQPFbZ4zLDMAzDMLc0VMsmOlnSR3Yl7RKi7dH0o5b5FCzDMDcDLNrWgoDr7kjNHKrvgnYNepCFdoXLaxyMUMgUMJisnptGWT5KHI4C1NwAJ5kS01vOADDMbt1ujb2hN5pwPDEHSTn23p4leiMOx2eLRhE0ZUXbP/deRGNfF+EtR9YL10NesQ5bzqRh3fEUEaWXVyKl/xLJOcUIcLfe7M3q2RBTu4WhkY/zNb3HJ/s/QaFeKjxF1aqberEf5K0O3fx/O60j3l1zCt9ujRXTinVGLNofj3t7N67W91bKlXi2880rvLlpOMXoRqFBst+jJS/wTaeTcCZvH2RyA+SaRAxpXr2/T6ZmCXIJggM8oUUWDqnVwgBDmZsApJ8BfOvguaokH3BwthOUz2WdE7ZDVITRzMyWM/Fw+4ehklfueECDPTmFOjGoZoauOUK9HGEwmDCzRyNM6hzKxxeGYRiGYSoNeemTby0FvpF4qzPo7ERbjrRlbhZYtK3jfNb/MxTqCnE84zgOpR7CobRD4jFXK0XREnqTHr5O1qqJYppRj0uKPzG1fzd0CuiOohIFjifliEIf9EhRuOfTC8SyLYPs07WzC7V49h/pgEf3biSkClsFslcIlh49nCouSpKaV4wNJ1JFRO3OcxnQVuB9STYHtA22om2Ip/VmrrIcTjuM5bHLRd/NwQ1z2s655tdgbk4o6vyF4c3ROsQdG06kYEBzfwyL4nR+pvbpHuENpVwmBtTWxe6EwUsaUFMUN0f7BuULwzH1O7K6oUsUzuRvg1YOnHZQoaVWJ1kk1EXRdtFMoDBD8rRvMQbLz6/CG7vfQJG+yGL38mbPN0Wxz8qQkFWIH3fEicKFXRp5Yf6MTnbH6F9mdUGIp2M5ayeGYRiGYZjKXGd1C+qGFbErxLUKaQPkvU84KZ1ExiPD3AywaFsPcFI5iSIf5kIfVL2eol6EiFsq5Lb1a2u3Dh20fj35q2gOcgd0DOiInsE9MbRdT9zfp504yFEk7MlLeQjzdqrQVoGgLM7YtALRlh1OskwP9nBEVLAb3hgTBb9SD0ayYejxziboDKYKC4kNaOaHwS0DhF8dRUPeCPQZvLPnHcvzOe3mwENz+eJPzK3JyNZBojFMXYGiCVuFAcfzNqDQa4NlekuPbuUsbpj6T7egDjhzZpvoH9KoJdE2ZhPQ7UHUKdJOA2fXSf31/8M3umR8eeRry+ymnk3xcd+PEeoWetWXogye77bFYvWxZGFRQ5AVwrnUPET4uVqWu9bMGoZhGIZhGFvMoi2xLGYZUgpTRD/KJ6peW9QxjC0s2tZDyLuVRo6ojW8yvsJldiTusPS1Ri12Ju0U7b297yHYJVgIuL1DeqNTaCc4lvGkI1uEt8ZFWaJyTyXnCR9LWxKzi5CcW4xPJ1vTGUmI7dTQCztjMsTzQHcNBrWQCol1Cfeq0miapeeW4ljGMdFv4tlEWCMwDMPUB9o1UuHcJatgazIpMLZZv1rdJqZ6GNakG34+84no71K74k6FFjK6iahrvra7vrR0MztMx7yj31me03XG852fv6J/rdFowoaTKfh+23lEx1n9880e+uPbh8DRgS85GYZhGIapOroFdrP0/z33r6XP1gjMzQRfQd+kzG41Gy19WmJbwjZsT9xuGXUiEvMT8efpP0ULcwvDinHS6JQZsi2Y0iXM8pyKp51LzcexRMlWgYTcE0m5wtJAo7IfwbqjcwO0b+Ap/OooErc6ioIZjAbMOzLP8vy5Ts8JL1GGYZj6wPiWnfD3Jevz1r4tMbYN+9nejDT1ioQCGhhQjP2u3iievgeOLvaWRLVOfhpw+A+pr3ZDWuQANM3dL2yZJjedjBe7vnhFsXZh9EX8sP28xXLJjLezg/Cqn9o1DN5cvJBhGIZhmCrG18kXER4ROJd9zm46i7bMzQQrXTcpzipn4TtHjQqN0YGMxFtqB1IPCM9boqN/x3Lrzj86H409GqNzQGdhzUARslSQjNptNjdqmYXacuuOahOEUW2qd98o1eGHIT/gw30fwgQTOgd2rt43ZBiGqULIR1xZ3Bp6jeS71Te0D9RKTuG6GaEBxc6B7bDr0i7IlCYUKvRwRB1j7/eAoUTqt5+GpgHt8cfIP0QRMhcHlyuuKpfL8O+BBDvBtrGvM+7uFY5x7YLLDewyDMMwDMNUtUVCOdHWl0Vb5uZBZiJFrwbJzc2Fu7s7cnJy4ObmVpNvzZRSoCvA7ku7hYA7KGwQugd1t8zLKs5Cnz/7CDGUKkN38O8grBR6BfdCI/dG1RI5WxEkKmcWZyK9KF20tMI0MW1Ss0l2y1GVSJWCK04zDFO/iM2Ow93rZsFd7Y6fhv4kHpmbk+Ppx4V4S5Egdc5fTVcEfNxSKkAmUwCPHgY8Lu9bS+JsQ28nu2uB1Ucv4YGFB9At3Bv39G6EvpF+QsxlGIZhGIapbkjTeGDDA6I/ockETGs5jYuQMfWCymqjLNoydqyMXYnntj1X4bwg5yAh4FLrEthFROFeK1TZkW5eSRA2cyz9mLBqSCtKQ3qhJNKSYEvCsS1uDm7YcYfVq5dhGKY+QwUVZfSvLnmbMjWD0QhQxovSoXa3Y9+PwIrHpH7URGDi/HKL0GUiedVTcbHNp9Pw291d0D3CxzKfio2dSs4VEeQMwzAMwzA1CekLPX7vAZ1RJwLNvhr4VW1vEsNUChZtmeuiUFeIPZf2WKwUkgqSKlxOo9Bgy6QtFuGWxIfY7FhJeKXI2NJHEmEt/aJ05OvyRVQZRfCa2Ry/GQ9verhS27fvrn1QK9gbj2EYhqlf0OVW/PFdCDj+LRzitgBD5wJtJteucPxlZyDjrHiqm70epzSOouIyDSRQAdIVR5JEcbETl3Itq/Vr6osfZ7ItEcMwDMMwdQPSLSI9I+Hn5Ffbm8IwVa6NsqctYweJsP0a9BONbjDP55zHtkSpmNn+lP1iBIto5tXMLtKWlp2wfIIQb68Gibe2+Dr6WvpKmRLejt5imo+jD3ycfKx9Rx/IIa/S/WUYhmGY6mbZ4SS8uuw4IgoP4y91aXXjcxtrV7Q9u84i2CKsB7aZ8vHoqtkipXBgwEws3OSK5Nxiu1WCPRzRq4mvOOdzhDjDMAzDMHUBygRmmJsVFm2Zy0I3ZOEe4aJNbzldROFGJ0dbRrJsIZ8+b423iKqtCCelk6juSMIr9W2homf/jP5HzPNQe0AuY2GWYRiGuXnQy5KR77gKx7zisK3ADb0Kc4GYTVK0q7yWznmuAUDT4cDp1UC3OVgWs0xMjs2JxTen4lCQ28SyaJtQD9zTqxGGtgyAUsHnaIZhGIZhGIapCVi0ZSoNRdb2De0rWkVMiJwgCoOROGuOljVHyV7J/1aj1JQTgRmGYRjmZkHllAK17wbRX2YMlkTbwnQg5SgQ2KZ2NiqoLXDH70BGDDId3bEl+kUx2VnhieRsqYBHhzBPPDesGTqGeXJkLcMwDMMwDMPUMCzaMlXGQ20fqu1NYBiGYZg6R5cgq4/7XqW1EKewSKgt0daMd2OsPrkQepNePNXltKf8GdF/d0JrRPi51O72MQzDMAzDMMwtCue4MQzDMAzDVCNUGMNZLhXHyNDkQXKHh2SRUAdYem6ppe9h6CYe+zb1ZcGWYRiGYRiGYWoRjrRlGIZhGIapZpp7tsa+jA2A3IDdzkHoVZAEXNwNlOQD6hoUR/fOBxw9gOZjAIUSpzNP42TmSTGrlU8rLJx2O3bFZsBVbRMRzDAMwzAMwzBMjcORtgzDMAzDMNVM34adLf0V6hCpY9QBcdtrbiNK8oANrwGLZgFfdQUMOiyNsUbZjm48WnjXdm/sg1Yh7jW3XQzDMAzDMAzDlINFW4ZhGIZhmGqme3BHS3+XwubyK2ZjzW3EgQVASY7Ub9AVOhmwMnaleKqSqzCs0bCa2xaGYRiGYRiGYa4Ii7YMwzAMwzDVTGOPxlDJnEU/U5MNg0wq9oVLR2pmAwx6YPfX1ufd5mB7wnZkFmeKp+18esJdzdG1DMMwDMMwDFNXYNGWYRiGYRimmpHL5Gjs2lL0ZcpCrGz1NHD/dmDWmprZgJPLgJyLUj9iEODXDAHOARgRPgIKOGDzvjBM+HonTiXn1sz2MAzDMAzDMAxzRVi0ZRiGYRiGqQH6hll9bQ2tmgEBrQCZrPrf2GQCdn1hfd59jnho7t0c/+vyJowXXoGhoAmOJGTDy8mh+reHYRiGYRiGYZirorz6IgzDMAzDMMyN0jesJzJKUtDOrx26BnatuTe+uBtI3C/1/aOARn0ss/45kIjcQsmqYVSbIPi5aWpuuxiGYRiGYRiGuSws2jIMwzAMw9QALb1bomU3ySKhRrGNsu02xxLdazSa8OP285ZZs3s2qvltYxiGYRiGYRimQli0ZRiGYRiGqQVM6WchO74EiNkIDHoDCO1U9W+SEQOcWin1XQOBqAmIy4nD0fSjUBW3Rmx6gZjVNdwLLYO4EBnDMAzDMAzD1BVYtGUYhmEYhqkh9AYjvvjvHKLPZ2Jg8XrMyvhAmnFuffWItue3Wvud7wWUDvj7zN/45cQvkJvUUDhNhaEwArN6cJQtwzAMwzAMw9QluBAZwzAMwzBMDaFUyPHn/lPYk7IN3+UZrTNiNlXPG3acCTy8H+h8n+jrjDqsiF0hZhlMehiKgxDm7YQBzf2r5/0ZhmEYhmEYhrkuONKWYRiGYRimhsgpyUF+wItwon5hAxSVRMIx+4xUKKwoC3D0rPo39W4MDH9PdHfEb0Zmcabo6/NbAEYnzOzeEAq55HPLMAzDMAzDMEzdgCNtGYZhGIZhagh3tTu8HIJFX+6YiKMu7aUZJiMQu7na33/puaWWvi67A1w1StzWMbTa35dhGIZhGIZhmGuDRVuGYRiGYZgapL1fO/Eokxnwt96neiwSsi4ABr39pOIsbE6QhGE3lRd6h/bAnZ0bwFnNiVcMwzAMwzAMU9fgq3SGYRiGYZgapHeDztiQIPnKri8qhkmhhsxQApzbBJhMpObe2BvQa/x+B1CSC3S5H+j6ACBXYNX5VdAbJSF3QuQYPNGxK4xGU1XsEsMwDMMwDMMwVQxH2jIMwzAMw9Qg7UojbYkShwsoCOgsPclNANLP3PgbxP4HpB4HcuKBE0uEYFvWGmF049HiUc5etgzDMAzDMAxTJ2HRlmEYhmEYpgYJcwuDo8Jd9BWOF3DMsWPVWiTs/MLa7zZHPJzOPI2TmSdFP8o7ChGeETf+PgzDMAzDMAzDVBss2jIMwzAMw9QgMpkMUV5tpL6iGH8X+1pnntt4Yy+ecgKIKX0NjzCg+SjRXRazzLJIhFNf6A3GG3sfhmEYhmEYhmGqFRZtGYZhGIZhapheDTpZ+hty02HqdA8wYT4w7psbe+FdX1r7XR+0WCNMaT4FIRgLQ4kfFmzwwvoTKTf2PgzDMAzDMAzDVCtciIxhGIZhGKaGae9v9bXt37YAsv4f3PiL5qUAR/+S+hp3oN1dllklxe44daorTKauCHTXYGAL/xt/P4ZhGIZhGIZhqg0WbRmGYRiGYWqYFl4t4KJyQbh7OFr5NauaF43+FjBopX6HmYDaxTLrpx3nYTJJ/WndGkKl4GQrhmEYhmEYhqnLsGjLMAzDMAxTw6gUKmydtFU8VgnaAmDffKkvVwKd77XMyinS4e/9CaLvqFLgzs4NquY9GYZhGIZhGIapNli0ZRiGYRiGqQXKCbbFOcD5rVIxsr7PA67XYGFw6DegKEvqR00A3INFd3nMciw+ehBFpjAAPpjYIQTuTlUkFDMMwzAMwzAMU22waMswDMMwDFNLZBZoEX0+A3vOZ+IJ+Z9w3fupNKNBV6DN5Mq/UMQAgIqZHVoIdJtjmbzgxAKczDkJlwgg/9zTmNGjTzXsBcMwDMMwDMMwVQ0bmjEMwzAMw9QSC3ZdwP2/7sdPe47ggKq9dQZF214LXuHAiA+AJ08Dga3FpNOZp3Ey86ToG4pC0K9xczT2tfrcMgzDMAzDMAxTd+FIW4ZhGIZhmFoiQbYIzhErIVPmYWXWV+jj4AJo84HY/wCjEZBf4/i6xs3SXRazzNLX5XTA7IGNqnLTGYZhGIZhGIapRjjSlmEYhmEYppZw0mghV+VAJjNiR/IxoFFvaUZBGpBy9LpfV2fUYXnMCtE3GRVoqOmO7o29q2qzGYZhGIZhGIapZli0ZRiGYRiGqSU6BlgtEdJ0p5AX3OvaLBLWvADs/FwqYmbDjsQdyCrJFP0eQb3xztiukMlkVbjlDMMwDMMwDMNUJyzaMgzDMAzD1BLt/NpZ+grHC9irtD5HzKYrr5x9EdjzDbDuJeDbvpKdQilLzy219Ke0nIgOYV5VvOUMwzAMwzAMw1QnLNoyDMMwDMPUEsEuwXBXeVtE200pjoBHmDTz4m6gJP/yK+/+BjAZpH7ryRb/26ziLGxO2Cz63hpvdA/qXt27wTAMwzAMwzBMFcOiLcMwDMMwTC1BlgUdSi0SZAotdiYcByIGSDONOuDCjopXJDuEA79IfaUG6DTbMmvJ2RXQG/WiP6rxKCjlXHeWYRiGYRiGYeobLNoyDMMwDMPUIp0DO1j68YXHURBSWozsSr62+38GtHlSv81kwNnHMuvvk6st/WCljUcuwzAMwzAMwzD1Bg69YBiGYRiGqUO+ttGYhX7BHYDwvkDTEeVXMOgkL1szXR+ydI1GEwovzkRRyT4onOLQ2q9ZtW8/wzAMwzAMwzBVD4u2DMMwDMMwtUikZyQc5BpojcVw84xHcIAfcM8VipAdXwLkJpauPBTwjbTM2nQqFXHpWjK5RWe/fmgR5FYDe8AwDMMwDMMwTFXD9ggMwzAMwzC1CHnOtvdvKz2RF8PbXXf5hU0mYNfn1ufd5tjN/mHHeUt/ds9GVb+xDMMwDMMwDMPUCBxpyzAMwzAMU8s83O5hPN7hcRF1e8XCYVSY7NJhqR/YBmjY0zLreGIOdsZkiH4jH2f0a+pX7dvNMAzDMAzDMEz1wKItwzAMwzB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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# ────────────────────────────────────────────────────────────────\n", + "# 5. Figure 6 – Actual vs. *top-4* models by Dstat for this tier\n", + "# ────────────────────────────────────────────────────────────────\n", + "if best_tier in preds:\n", + " top4 = (results[best_tier]['Dstat']\n", + " .sort_values(ascending=False)\n", + " .head(4).index.tolist())\n", + "\n", + " plt.figure(figsize=(14,7))\n", + " actual = datasets[best_tier]['Copper_Price'].loc[preds[best_tier].index]\n", + " plt.plot(actual.index, actual, lw=2, color='black', label='Actual')\n", + " for mdl in top4:\n", + " plt.plot(preds[best_tier].index, preds[best_tier][mdl],\n", + " '--', lw=2, label=mdl)\n", + " plt.title(f\"Figure 6 – Forecasts (top-4 by Dstat, tier {best_tier})\")\n", + " plt.grid(True, axis='y', linestyle='--', alpha=0.3)\n", + " plt.legend(loc='upper left', bbox_to_anchor=(0.01,0.99),\n", + " frameon=False, ncol=1)\n", + " plt.tight_layout()\n", + " plt.savefig(MODEL_DIR / f\"Fig6_Top4Forecasts_tier{best_tier}.png\", dpi=120)\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "119eb092", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Training rows: 262 | Predicting 2025-07-13\n", + "Forecasted copper price for 2025-07-13: 5.46 USD/t\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# ADD NEW WEEK (2025-07-06) → FORECAST WEEK (2025-07-13)\n", + "# ============================================================================\n", + "\n", + "# ---------------------------------------------------------------------------\n", + "# 0) paths & helpers\n", + "# ---------------------------------------------------------------------------\n", + "UPDATED_DIR = ROOT / \"Copper Weekly updated\" # new folder the user mentioned\n", + "forecast_dt = pd.Timestamp(\"2025-07-13\")\n", + "lag_use = 1\n", + "tier_use = 0.10 # p-value ≤ 10 % feature set\n", + "\n", + "def read_last_row(csv_path: pathlib.Path, col_name_fix=lambda x: x):\n", + " \"\"\"Read *only* the last data row from a trends CSV (or Copper Price CSV).\"\"\"\n", + " df = pd.read_csv(csv_path)\n", + " df.columns = [c.strip() for c in df.columns]\n", + " date_col, val_col = df.columns[0], df.columns[1]\n", + " df[val_col] = df[val_col].replace(\"<1\", 0).astype(float)\n", + " last = df.tail(1).copy()\n", + " last.loc[:, date_col] = pd.to_datetime(last[date_col])\n", + " last = last.set_index(date_col)\n", + " last.columns = [col_name_fix(val_col)]\n", + " return last\n", + "\n", + "def grab_new_rows():\n", + " frames = []\n", + "\n", + " # ---- copper price ------------------------------------------------------\n", + " frames.append(read_last_row(UPDATED_DIR / \"Copper Prices.csv\",\n", + " col_name_fix=lambda _: \"Copper_Price\"))\n", + "\n", + " # ---- four Google-Trend folders ----------------------------------------\n", + " for folder in [\"Supply Factors\", \"Demand Factors\",\n", + " \"Speculative Factors\", \"Sudden Factors\"]:\n", + " for fp in (UPDATED_DIR / folder).glob(\"*.csv\"):\n", + " key = fp.stem.replace(\",\", \"\")\n", + " frames.append(read_last_row(fp, col_name_fix=lambda _: key))\n", + "\n", + " return pd.concat(frames, axis=1)\n", + "\n", + "new_row = grab_new_rows()\n", + "assert new_row.index[0] == pd.Timestamp(\"2025-07-06\"), \\\n", + " \"Updated CSVs must contain 2025-07-06 as their last row.\"\n", + "\n", + "# ---------------------------------------------------------------------------\n", + "# 1) append the new row to the old weekly dataframe --------------------------\n", + "data_raw = pd.concat([data_raw, new_row]).sort_index()\n", + "data_raw = data_raw.loc[~data_raw.index.duplicated(keep=\"last\")]\n", + "\n", + "# ---------------------------------------------------------------------------\n", + "# 2) build lag-1 features & train / predict sets ----------------------------\n", + "feat_pool = tiers[tier_use] # GT series selected earlier\n", + "last_dt = new_row.index[0] # 2025-07-06\n", + "\n", + "# ---------- lagged frame for history (through 07-06) ------------------------\n", + "df_hist = pd.DataFrame(\n", + " {\n", + " \"Copper_Price\": data_raw[\"Copper_Price\"],\n", + " **{f\"{s}_lag{lag_use}\": data_raw[s].shift(lag_use) for s in feat_pool},\n", + " \"Copper_Price_lag1\": data_raw[\"Copper_Price\"].shift(1),\n", + " }\n", + ").loc[: last_dt] # history ends at 07-06\n", + "\n", + "# keep rows with no missing predictors\n", + "X_train = df_hist.drop(columns=\"Copper_Price\").dropna()\n", + "y_train = df_hist.loc[X_train.index, \"Copper_Price\"]\n", + "\n", + "# ---------- single prediction row for 07-13 --------------------------------\n", + "row_pred = {\n", + " f\"{s}_lag{lag_use}\": data_raw.at[last_dt, s] for s in feat_pool\n", + "}\n", + "row_pred[\"Copper_Price_lag1\"] = data_raw.at[last_dt, \"Copper_Price\"]\n", + "X_pred = pd.DataFrame(row_pred, index=[forecast_dt])\n", + "\n", + "if X_pred.isna().any().any():\n", + " raise ValueError(\"One or more GT series lack a 2025-06-29 / 07-06 value.\")\n", + "\n", + "print(f\"Training rows: {len(X_train):,} | Predicting {forecast_dt.date()}\")\n", + "\n", + "# ---------------------------------------------------------------------------\n", + "# 3) fit the full stack on ALL history --------------------------------------\n", + "trees_full = tune_trees(X_train, y_train) # n_iter=40 each, same HP_SPACE\n", + "combo_full = stack_combo(trees_full).fit(X_train, y_train)\n", + "\n", + "# ---------------------------------------------------------------------------\n", + "# 4) forecast ---------------------------------------------------------------\n", + "pred_0713 = combo_full.predict(X_pred)[0]\n", + "print(f\"Forecasted copper price for {forecast_dt.date()}: {pred_0713:,.2f} USD/t\")\n", + "\n", + "# optional: persist\n", + "pd.Series({\"Forecast\": pred_0713}, name=forecast_dt).to_csv(\n", + " MODEL_DIR / \"Forecast_2025-07-13.csv\"\n", + ")\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "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": "3.12.11" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/Copper Google Trend Analysis Weekly /Copper Prices.csv b/Copper Google Trend Analysis Weekly /Copper Prices.csv new file mode 100644 index 0000000000000000000000000000000000000000..18f6eb3d28b14bced55776c0bf21b9accccbde13 --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Copper Prices.csv @@ -0,0 +1,263 @@ +Date,Price +6/28/20,2.7485 +7/5/20,2.8975 +7/12/20,2.9045 +7/19/20,2.8925 +7/26/20,2.868 +8/2/20,2.7925 +8/9/20,2.859 +8/16/20,2.9175 +8/23/20,3.0195 +8/30/20,3.062 +9/6/20,3.0395 +9/13/20,3.116 +9/20/20,2.971 +9/27/20,2.9775 +10/4/20,3.0825 +10/11/20,3.0675 +10/18/20,3.129 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0000000000000000000000000000000000000000..e0b247bd9eaae08f17dad91f2964aa9871f0abc1 --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Data Processing.ipynb @@ -0,0 +1,199 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 9, + "id": "6f2fc4d8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Processed: Sudden Factors/Earthquake copper.csv\n", + "Processed: Sudden Factors/Brexit.csv\n", + "Processed: Sudden Factors/Copper trade war.csv\n", + "Processed: Sudden Factors/Trade war.csv\n", + "Processed: Sudden Factors/Mining sanctions.csv\n", + "Processed: Sudden Factors/Volatility index.csv\n", + "Processed: Sudden Factors/Extreme weather.csv\n", + "Processed: Sudden Factors/Energy crisis.csv\n", + "Processed: Sudden Factors/Hurricane copper.csv\n", + "Processed: Sudden Factors/Banking crisis.csv\n", + "Processed: Sudden Factors/Middle East conflicts.csv\n", + "Processed: Sudden Factors/Mining natural disaster.csv\n", + "Processed: Sudden Factors/Conflicts.csv\n", + "Processed: Sudden Factors/Iran Iraq War.csv\n", + "Processed: Sudden Factors/COVID.csv\n", + "Processed: Sudden Factors/Resource nationalism.csv\n", + "Processed: Sudden Factors/Pandemic copper.csv\n", + "Processed: Sudden Factors/COVID copper.csv\n", + "Processed: Sudden Factors/Transportation disruption.csv\n", + "Processed: Sudden Factors/Copper tariff.csv\n", + "Processed: Sudden Factors/2008 crisis.csv\n", + "Processed: Sudden Factors/Mining accidents.csv\n", + "Processed: Sudden Factors/Climate change mining.csv\n", + "Processed: Sudden Factors/Terrorist attack.csv\n", + "Processed: Sudden Factors/China US trade tensions.csv\n" + ] + } + ], + "source": [ + "import os\n", + "import pandas as pd\n", + "\n", + "folder_path = \"Sudden Factors\"\n", + "\n", + "for filename in os.listdir(folder_path):\n", + " if filename.endswith('.csv'):\n", + " file_path = os.path.join(folder_path, filename)\n", + " \n", + " # Read CSV, skip first two rows, use the third row as header\n", + " df = pd.read_csv(file_path, skiprows=2)\n", + " \n", + " # Convert the first column (assumed to be 'Week') to datetime\n", + " first_col = df.columns[0]\n", + " df[first_col] = pd.to_datetime(df[first_col], errors='coerce')\n", + " \n", + " # Rename columns: first column to 'date', second to 'Interest'\n", + " if len(df.columns) > 1:\n", + " df.rename(columns={first_col: 'Date', df.columns[1]: 'Interest'}, inplace=True)\n", + " \n", + " # Save back to CSV\n", + " df.to_csv(file_path, index=False)\n", + " print(f\"Processed: {file_path}\")\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "269c0e76", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Processed: ./Copper Prices.csv\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/6b/p92_dgbd07ldpbpq29vbpd_m0000gn/T/ipykernel_13497/813422496.py:15: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", + " df[first_col] = pd.to_datetime(df[first_col], errors='coerce')\n" + ] + } + ], + "source": [ + "import os\n", + "import pandas as pd\n", + "\n", + "folder_path = \".\"\n", + "\n", + "for filename in os.listdir(folder_path):\n", + " if filename.endswith('.csv'):\n", + " file_path = os.path.join(folder_path, filename)\n", + " \n", + " # Read CSV, skip first two rows, use the third row as header\n", + " df = pd.read_csv(file_path)\n", + " \n", + " # Convert the first column (assumed to be 'Week') to datetime\n", + " first_col = df.columns[0]\n", + " df[first_col] = pd.to_datetime(df[first_col], errors='coerce')\n", + " \n", + " # Save back to CSV\n", + " df.to_csv(file_path, index=False)\n", + " print(f\"Processed: {file_path}\")\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "8f7d0600", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Processed: Supply Factors/Copper mining.csv\n", + "Processed: Supply Factors/Peru copper mining.csv\n", + "Processed: Supply Factors/Copper ore production.csv\n", + "Processed: Supply Factors/Scrap copper prices.csv\n", + "Processed: Supply Factors/Copper project.csv\n", + "Processed: Supply Factors/Copper mine accident.csv\n", + "Processed: Supply Factors/Aluminum production.csv\n", + "Processed: Supply Factors/Recycled copper.csv\n", + "Processed: Supply Factors/Copper smelter.csv\n", + "Processed: Supply Factors/China copper production.csv\n", + "Processed: Supply Factors/Peru copper production.csv\n", + "Processed: Supply Factors/Copper refinery.csv\n", + "Processed: Supply Factors/Copper reserves by country.csv\n", + "Processed: Supply Factors/Chile copper production.csv\n", + "Processed: Supply Factors/Copper mine strike.csv\n", + "Processed: Supply Factors/Global copper production.csv\n", + "Processed: Supply Factors/Copper mining cost.csv\n", + "Processed: Supply Factors/US copper production.csv\n", + "Processed: Supply Factors/Congo copper.csv\n", + "Processed: Supply Factors/Copper mine production.csv\n", + "Processed: Supply Factors/Copper concentrate.csv\n", + "Processed: Supply Factors/Copper ore reserves.csv\n", + "Processed: Supply Factors/Copper production by country.csv\n", + "Processed: Supply Factors/Steel production.csv\n", + "Processed: Supply Factors/Copper mining companies.csv\n", + "Processed: Supply Factors/Copper cathode production.csv\n", + "Processed: Supply Factors/Copper resource.csv\n" + ] + } + ], + "source": [ + "import os\n", + "import pandas as pd\n", + "\n", + "folder_path = \"Supply Factors\"\n", + "\n", + "for filename in os.listdir(folder_path):\n", + " if filename.endswith('.csv'):\n", + " file_path = os.path.join(folder_path, filename)\n", + " \n", + " # Read CSV, skip first two rows, use the third row as header\n", + " df = pd.read_csv(file_path)\n", + " first_col = df.columns[0]\n", + " \n", + " # Rename columns: first column to 'date', second to 'Interest'\n", + " if len(df.columns) > 1:\n", + " df.rename(columns={first_col: 'Date', df.columns[1]: 'Interest'}, inplace=True)\n", + " \n", + " # Save back to CSV\n", + " df.to_csv(file_path, index=False)\n", + " print(f\"Processed: {file_path}\")\n", + "\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "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": "3.12.11" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/Copper Google Trend Analysis Weekly /Demand Factors/.DS_Store b/Copper Google Trend Analysis Weekly /Demand Factors/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..5008ddfcf53c02e82d7eee2e57c38e5672ef89f6 Binary files /dev/null and b/Copper Google Trend Analysis Weekly /Demand Factors/.DS_Store differ diff --git a/Copper Google Trend Analysis Weekly /Demand Factors/5G infrastructure.csv b/Copper Google Trend Analysis Weekly /Demand Factors/5G infrastructure.csv new file mode 100644 index 0000000000000000000000000000000000000000..f58c4d9750009d61ac99b73949192370efa66ec4 --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Demand Factors/5G infrastructure.csv @@ -0,0 +1,263 @@ +Date,Interest +2020-06-28,48 +2020-07-05,53 +2020-07-12,91 +2020-07-19,52 +2020-07-26,66 +2020-08-02,50 +2020-08-09,54 +2020-08-16,62 +2020-08-23,58 +2020-08-30,58 +2020-09-06,51 +2020-09-13,48 +2020-09-20,52 +2020-09-27,53 +2020-10-04,42 +2020-10-11,44 +2020-10-18,58 +2020-10-25,29 +2020-11-01,31 +2020-11-08,35 +2020-11-15,47 +2020-11-22,53 +2020-11-29,35 +2020-12-06,26 +2020-12-13,44 +2020-12-20,39 +2020-12-27,34 +2021-01-03,41 +2021-01-10,45 +2021-01-17,50 +2021-01-24,68 +2021-01-31,50 +2021-02-07,38 +2021-02-14,39 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100644 index 0000000000000000000000000000000000000000..fa19c10914b51b088f14c7076fd409046c9e66e2 --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Demand Factors/Renewable energy.csv @@ -0,0 +1,263 @@ +Date,Interest +2020-06-28,40 +2020-07-05,44 +2020-07-12,46 +2020-07-19,42 +2020-07-26,40 +2020-08-02,38 +2020-08-09,41 +2020-08-16,49 +2020-08-23,47 +2020-08-30,51 +2020-09-06,54 +2020-09-13,58 +2020-09-20,60 +2020-09-27,55 +2020-10-04,63 +2020-10-11,64 +2020-10-18,59 +2020-10-25,56 +2020-11-01,55 +2020-11-08,59 +2020-11-15,59 +2020-11-22,55 +2020-11-29,61 +2020-12-06,62 +2020-12-13,60 +2020-12-20,36 +2020-12-27,32 +2021-01-03,60 +2021-01-10,62 +2021-01-17,69 +2021-01-24,74 +2021-01-31,73 +2021-02-07,68 +2021-02-14,72 +2021-02-21,69 +2021-02-28,64 +2021-03-07,61 +2021-03-14,65 +2021-03-21,60 +2021-03-28,50 +2021-04-04,54 +2021-04-11,57 +2021-04-18,67 +2021-04-25,64 +2021-05-02,63 +2021-05-09,66 +2021-05-16,62 +2021-05-23,61 +2021-05-30,58 +2021-06-06,55 +2021-06-13,57 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Level pDiff p
Building construction copper0.00000.0000
US copper production0.00000.0000
Copper mining cost0.00000.0000
Commodity speculation0.00000.0000
Chile copper production0.00000.0000
.........
COVID0.79200.0000
Terrorist attack0.80970.0000
Electronics manufacturing0.87760.0000
China US trade tensions0.99890.0002
Copper tariff1.00000.0000
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" + ], + "text/plain": [ + " Level p Diff p\n", + "Building construction copper 0.0000 0.0000\n", + "US copper production 0.0000 0.0000\n", + "Copper mining cost 0.0000 0.0000\n", + "Commodity speculation 0.0000 0.0000\n", + "Chile copper production 0.0000 0.0000\n", + "... ... ...\n", + "COVID 0.7920 0.0000\n", + "Terrorist attack 0.8097 0.0000\n", + "Electronics manufacturing 0.8776 0.0000\n", + "China US trade tensions 0.9989 0.0002\n", + "Copper tariff 1.0000 0.0000\n", + "\n", + "[98 rows x 2 columns]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Table 5 – Cointegration\n" + ] + }, + { + "data": { + "text/html": [ + "
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tp
Series
Iran Iraq War-2.89430.1375
5G technology-2.81660.1605
Electronics manufacturing-2.79110.1685
Copper ore reserves-2.76750.1762
Currency exchange rates-2.70400.1981
Copper concentrate-2.65450.2164
Middle East conflicts-2.62400.2281
Mining sanctions-2.58740.2420
Yahoo finance-2.57750.2460
RMB exchange rate-2.57580.2467
Energy crisis-2.56180.2525
Scrap copper prices-2.55810.2541
Manufacturing PMI-2.55480.2554
COVID-2.54030.2616
Extreme weather-2.53260.2649
Euro exchange rate-2.52890.2665
Copper tariff-2.52630.2676
China US trade tensions-2.51210.2738
COVID copper-2.51160.2740
Electric vehicle demand-2.47230.2914
Bloomberg-2.39200.3286
Copper price forecast-2.36620.3410
Terrorist attack-2.32570.3608
Trade war-2.30100.3731
Global GDP growth-2.26840.3894
World GDP by country-2.25330.3970
Inflation expectations-2.23040.4087
\n", + "
" + ], + "text/plain": [ + " t p\n", + "Series \n", + "Iran Iraq War -2.8943 0.1375\n", + "5G technology -2.8166 0.1605\n", + "Electronics manufacturing -2.7911 0.1685\n", + "Copper ore reserves -2.7675 0.1762\n", + "Currency exchange rates -2.7040 0.1981\n", + "Copper concentrate -2.6545 0.2164\n", + "Middle East conflicts -2.6240 0.2281\n", + "Mining sanctions -2.5874 0.2420\n", + "Yahoo finance -2.5775 0.2460\n", + "RMB exchange rate -2.5758 0.2467\n", + "Energy crisis -2.5618 0.2525\n", + "Scrap copper prices -2.5581 0.2541\n", + "Manufacturing PMI -2.5548 0.2554\n", + "COVID -2.5403 0.2616\n", + "Extreme weather -2.5326 0.2649\n", + "Euro exchange rate -2.5289 0.2665\n", + "Copper tariff -2.5263 0.2676\n", + "China US trade tensions -2.5121 0.2738\n", + "COVID copper -2.5116 0.2740\n", + "Electric vehicle demand -2.4723 0.2914\n", + "Bloomberg -2.3920 0.3286\n", + "Copper price forecast -2.3662 0.3410\n", + "Terrorist attack -2.3257 0.3608\n", + "Trade war -2.3010 0.3731\n", + "Global GDP growth -2.2684 0.3894\n", + "World GDP by country -2.2533 0.3970\n", + "Inflation expectations -2.2304 0.4087" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Table 6 – Granger causality (all lags)\n" + ] + }, + { + "data": { + "text/html": [ + "
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SeriesLagp
245G technology10.9159
255G technology20.4953
265G technology30.4765
275G technology40.5444
285G technology50.3709
............
211Yahoo finance200.1242
212Yahoo finance210.1664
213Yahoo finance220.2101
214Yahoo finance230.2764
215Yahoo finance240.3186
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648 rows × 3 columns

\n", + "
" + ], + "text/plain": [ + " Series Lag p\n", + "24 5G technology 1 0.9159\n", + "25 5G technology 2 0.4953\n", + "26 5G technology 3 0.4765\n", + "27 5G technology 4 0.5444\n", + "28 5G technology 5 0.3709\n", + ".. ... ... ...\n", + "211 Yahoo finance 20 0.1242\n", + "212 Yahoo finance 21 0.1664\n", + "213 Yahoo finance 22 0.2101\n", + "214 Yahoo finance 23 0.2764\n", + "215 Yahoo finance 24 0.3186\n", + "\n", + "[648 rows x 3 columns]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Feature Selection Results:\n", + "\n", + "p-value < 0.01: 6 series\n", + "['Copper ore reserves', 'Mining sanctions', 'Extreme weather', 'Euro exchange rate', 'Copper tariff', 'Terrorist attack']\n", + "\n", + "p-value < 0.05: 12 series\n", + "['Iran Iraq War', 'Electronics manufacturing', 'Copper ore reserves', 'Mining sanctions', 'Yahoo finance', 'Scrap copper prices', 'Extreme weather', 'Euro exchange rate', 'Copper tariff', 'China US trade tensions', 'Terrorist attack', 'Trade war']\n", + "\n", + "p-value < 0.10: 13 series\n", + "['Iran Iraq War', 'Electronics manufacturing', 'Copper ore reserves', 'Middle East conflicts', 'Mining sanctions', 'Yahoo finance', 'Scrap copper prices', 'Extreme weather', 'Euro exchange rate', 'Copper tariff', 'China US trade tensions', 'Terrorist attack', 'Trade war']\n", + "\n", + "Table 7 – Granger-causal summary\n" + ] + }, + { + "data": { + "text/html": [ + "
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Min pBest Lagp<0.01p<0.05p<0.10
Series
Extreme weather0.00077TrueTrueTrue
Terrorist attack0.000815TrueTrueTrue
Euro exchange rate0.00249TrueTrueTrue
Copper tariff0.00406TrueTrueTrue
Copper ore reserves0.004421TrueTrueTrue
Mining sanctions0.005724TrueTrueTrue
Trade war0.01219FalseTrueTrue
Scrap copper prices0.019621FalseTrueTrue
China US trade tensions0.02631FalseTrueTrue
Yahoo finance0.035615FalseTrueTrue
Electronics manufacturing0.03712FalseTrueTrue
Iran Iraq War0.03946FalseTrueTrue
Middle East conflicts0.05808FalseFalseTrue
Copper concentrate0.117415FalseFalseFalse
COVID0.132523FalseFalseFalse
Currency exchange rates0.14201FalseFalseFalse
Global GDP growth0.169416FalseFalseFalse
COVID copper0.170723FalseFalseFalse
Inflation expectations0.27266FalseFalseFalse
RMB exchange rate0.277615FalseFalseFalse
Manufacturing PMI0.35991FalseFalseFalse
Bloomberg0.369817FalseFalseFalse
5G technology0.37095FalseFalseFalse
World GDP by country0.43473FalseFalseFalse
Energy crisis0.56805FalseFalseFalse
Copper price forecast0.75066FalseFalseFalse
Electric vehicle demand0.79062FalseFalseFalse
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" + ], + "text/plain": [ + " Min p Best Lag p<0.01 p<0.05 p<0.10\n", + "Series \n", + "Extreme weather 0.0007 7 True True True\n", + "Terrorist attack 0.0008 15 True True True\n", + "Euro exchange rate 0.0024 9 True True True\n", + "Copper tariff 0.0040 6 True True True\n", + "Copper ore reserves 0.0044 21 True True True\n", + "Mining sanctions 0.0057 24 True True True\n", + "Trade war 0.0121 9 False True True\n", + "Scrap copper prices 0.0196 21 False True True\n", + "China US trade tensions 0.0263 1 False True True\n", + "Yahoo finance 0.0356 15 False True True\n", + "Electronics manufacturing 0.0371 2 False True True\n", + "Iran Iraq War 0.0394 6 False True True\n", + "Middle East conflicts 0.0580 8 False False True\n", + "Copper concentrate 0.1174 15 False False False\n", + "COVID 0.1325 23 False False False\n", + "Currency exchange rates 0.1420 1 False False False\n", + "Global GDP growth 0.1694 16 False False False\n", + "COVID copper 0.1707 23 False False False\n", + "Inflation expectations 0.2726 6 False False False\n", + "RMB exchange rate 0.2776 15 False False False\n", + "Manufacturing PMI 0.3599 1 False False False\n", + "Bloomberg 0.3698 17 False False False\n", + "5G technology 0.3709 5 False False False\n", + "World GDP by country 0.4347 3 False False False\n", + "Energy crisis 0.5680 5 False False False\n", + "Copper price forecast 0.7506 6 False False False\n", + "Electric vehicle demand 0.7906 2 False False False" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Accuracy comparison – direction prediction\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Scenario0.050.10without
Model
DecTree46.67%57.78%46.67%
HMM55.56%55.56%55.56%
LogReg44.44%48.89%51.11%
RandForest46.67%44.44%46.67%
SVM51.11%48.89%62.22%
Stack44.44%40.00%55.56%
Voting48.89%48.89%46.67%
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" + ], + "text/plain": [ + "Scenario 0.05 0.10 without\n", + "Model \n", + "DecTree 46.67% 57.78% 46.67%\n", + "HMM 55.56% 55.56% 55.56%\n", + "LogReg 44.44% 48.89% 51.11%\n", + "RandForest 46.67% 44.44% 46.67%\n", + "SVM 51.11% 48.89% 62.22%\n", + "Stack 44.44% 40.00% 55.56%\n", + "Voting 48.89% 48.89% 46.67%" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# ================================================================\n", + "# Copper-Price Direction-of-Move Classification\n", + "# • Baseline (“without”), tier 0·05, tier 0·10\n", + "# • Models: LogReg, DecisionTree, RandomForest, SVM, HMM\n", + "# + Ensembles: Voting, Stacking\n", + "# ================================================================\n", + "import pathlib, warnings, numpy as np, pandas as pd\n", + "from statsmodels.tsa.stattools import adfuller, coint, grangercausalitytests\n", + "from sklearn.model_selection import TimeSeriesSplit, KFold\n", + "from sklearn.preprocessing import StandardScaler\n", + "from sklearn.pipeline import make_pipeline\n", + "from sklearn.linear_model import LogisticRegression\n", + "from sklearn.tree import DecisionTreeClassifier\n", + "from sklearn.ensemble import (RandomForestClassifier, VotingClassifier,\n", + " StackingClassifier)\n", + "from sklearn.svm import SVC\n", + "from hmmlearn.hmm import GaussianHMM\n", + "from sklearn.metrics import accuracy_score\n", + "\n", + "warnings.filterwarnings(\"ignore\")\n", + "pd.set_option(\"display.float_format\", \"{:,.4f}\".format)\n", + "np.random.seed(42)\n", + "\n", + "# ── 1. Load copper price and Google-Trends data ------------------\n", + "ROOT = pathlib.Path(\".\")\n", + "def load_copper(fp=ROOT / \"Copper Prices.csv\"):\n", + " df = (pd.read_csv(fp)\n", + " .assign(Date=lambda d: pd.to_datetime(d[\"Date\"]))\n", + " .set_index(\"Date\")\n", + " .asfreq(\"W-SUN\"))\n", + " return df[\"Price\"].rename(\"Copper_Price\")\n", + "\n", + "def load_trends():\n", + " def one_folder(folder):\n", + " frames = []\n", + " for fp in (ROOT / folder).glob(\"*.csv\"):\n", + " key = fp.stem.replace(\",\", \"\")\n", + " t = pd.read_csv(fp); t.columns = [c.strip() for c in t.columns]\n", + " val = t.columns[1]\n", + " frames.append(t.assign(Date=lambda d: pd.to_datetime(d[t.columns[0]]))\n", + " .set_index(\"Date\")\n", + " .asfreq(\"W-SUN\")\n", + " .rename(columns={val: key}))\n", + " return pd.concat(frames, axis=1) if frames else pd.DataFrame()\n", + " cats = [\"Supply Factors\", \"Demand Factors\",\n", + " \"Speculative Factors\", \"Sudden Factors\"]\n", + " return pd.concat([one_folder(c) for c in cats], axis=1).sort_index()\n", + "\n", + "copper, trends = load_copper(), load_trends()\n", + "data_raw = pd.concat([copper, trends], axis=1).dropna()\n", + "\n", + "# ── 2. ADF to find I(1) series -----------------------------------\n", + "ALPHA_ADF, ALPHA_COINT, MAX_LAG_GC = 0.01, 0.50, 24\n", + "adf_p = lambda s: adfuller(s.dropna(), autolag=\"AIC\")[1]\n", + "i1 = [c for c in data_raw.columns\n", + " if adf_p(data_raw[c]) > ALPHA_ADF and\n", + " adf_p(data_raw[c].diff()) < ALPHA_ADF and\n", + " c != \"Copper_Price\"]\n", + "\n", + "# ── 3. Cointegration filter --------------------------------------\n", + "cands = [s for s in i1\n", + " if coint(data_raw[\"Copper_Price\"], data_raw[s])[1] < ALPHA_COINT]\n", + "\n", + "# ── 4. Granger causality tiers -----------------------------------\n", + "gc_rows = []\n", + "for s in cands:\n", + " if data_raw[s].nunique() <= 1: continue\n", + " for lag in range(1, MAX_LAG_GC + 1):\n", + " try:\n", + " p = grangercausalitytests(\n", + " data_raw[[\"Copper_Price\", s]].dropna().values,\n", + " maxlag=lag, verbose=False)[lag][0][\"ssr_ftest\"][1]\n", + " gc_rows.append({\"Series\": s, \"Lag\": lag, \"p\": p})\n", + " except Exception:\n", + " continue\n", + "df_gc = pd.DataFrame(gc_rows)\n", + "\n", + "TIERS = {0.05: [s for s in cands if df_gc.loc[df_gc[\"Series\"] == s, \"p\"].min() < 0.05],\n", + " 0.10: [s for s in cands if df_gc.loc[df_gc[\"Series\"] == s, \"p\"].min() < 0.10]}\n", + "\n", + "# ────────────────────────────────────────────────────────────────\n", + "# Tables 4 → 7 + Feature Selection Results (no CSV, no .style)\n", + "# ────────────────────────────────────────────────────────────────\n", + "from IPython.display import display\n", + "from statsmodels.tools.sm_exceptions import InfeasibleTestError\n", + "\n", + "# ── Table 4 – Augmented Dickey-Fuller ----------------------------\n", + "tab4 = pd.DataFrame(\n", + " {\n", + " \"Level p\": [adf_p(data_raw[c]) for c in data_raw.columns],\n", + " \"Diff p\": [adf_p(data_raw[c].diff()) for c in data_raw.columns],\n", + " },\n", + " index=data_raw.columns,\n", + ").sort_values(\"Level p\")\n", + "\n", + "print(\"\\nTable 4 – Augmented Dickey-Fuller\")\n", + "display(tab4)\n", + "\n", + "# Identify I(1) candidates\n", + "i1 = tab4.index[\n", + " (tab4[\"Level p\"] > ALPHA_ADF) & (tab4[\"Diff p\"] < ALPHA_ADF)\n", + "]\n", + "\n", + "# ── Table 5 – Engle-Granger cointegration ------------------------\n", + "rows = []\n", + "for s in i1:\n", + " if s == \"Copper_Price\":\n", + " continue\n", + " t_stat, p_val, *_ = coint(data_raw[\"Copper_Price\"], data_raw[s])\n", + " rows.append({\"Series\": s, \"t\": t_stat, \"p\": p_val})\n", + "\n", + "df_coint = pd.DataFrame(rows).set_index(\"Series\").sort_values(\"p\")\n", + "\n", + "print(\"\\nTable 5 – Cointegration\")\n", + "display(df_coint)\n", + "\n", + "cointegrated = df_coint.index[df_coint[\"p\"] < ALPHA_COINT]\n", + "\n", + "# ── Table 6 – full Granger matrix --------------------------------\n", + "gc_records = []\n", + "for s in cointegrated:\n", + " if data_raw[s].nunique() <= 1:\n", + " continue\n", + " for lag in range(1, MAX_LAG_GC + 1):\n", + " try:\n", + " p = grangercausalitytests(\n", + " data_raw[[\"Copper_Price\", s]].dropna().values,\n", + " maxlag=lag,\n", + " verbose=False,\n", + " )[lag][0][\"ssr_ftest\"][1]\n", + " gc_records.append({\"Series\": s, \"Lag\": lag, \"p\": p})\n", + " except InfeasibleTestError:\n", + " continue\n", + "\n", + "df_gc = pd.DataFrame(gc_records).sort_values([\"Series\", \"Lag\"])\n", + "\n", + "print(\"\\nTable 6 – Granger causality (all lags)\")\n", + "display(df_gc)\n", + "\n", + "# ── Feature Selection Results ------------------------------------\n", + "tiers = {\n", + " a: [\n", + " s\n", + " for s in cointegrated\n", + " if df_gc.loc[df_gc[\"Series\"] == s, \"p\"].min() < a\n", + " ]\n", + " for a in TIERS_TO_BUILD\n", + "}\n", + "\n", + "print(\"\\nFeature Selection Results:\")\n", + "for a in TIERS_TO_BUILD:\n", + " print(f\"\\np-value < {a:.2f}: {len(tiers[a])} series\")\n", + " print(tiers[a])\n", + "\n", + "# ── Table 7 – Granger-causal summary -----------------------------\n", + "summary_rows = []\n", + "for series in cointegrated:\n", + " subset = df_gc.loc[df_gc[\"Series\"] == series, [\"Lag\", \"p\"]]\n", + " best = subset.loc[subset[\"p\"].idxmin()]\n", + " summary_rows.append(\n", + " {\n", + " \"Series\": series,\n", + " \"Min p\": float(best[\"p\"]),\n", + " \"Best Lag\":int(best[\"Lag\"]),\n", + " \"p<0.01\": best[\"p\"] < 0.01,\n", + " \"p<0.05\": best[\"p\"] < 0.05,\n", + " \"p<0.10\": best[\"p\"] < 0.10,\n", + " }\n", + " )\n", + "\n", + "df_summary = pd.DataFrame(summary_rows).set_index(\"Series\").sort_values(\"Min p\")\n", + "\n", + "print(\"\\nTable 7 – Granger-causal summary\")\n", + "display(df_summary)\n", + "\n", + "\n", + "# ── 5. Helper: build lag-1 feature frame --------------------------\n", + "def lag_df(feats, lag=1):\n", + " base = {\"Copper_Price\": data_raw[\"Copper_Price\"]}\n", + " base.update({f\"{f}_lag{lag}\": data_raw[f].shift(lag) for f in feats})\n", + " return pd.DataFrame(base).dropna()\n", + "\n", + "# ── 6. Scenarios --------------------------------------------------\n", + "SCENARIOS = {\n", + " \"without\": [], # copper-only baseline\n", + " \"0.05\" : TIERS[0.05],\n", + " \"0.10\" : TIERS[0.10],\n", + "}\n", + "\n", + "# ── 7. Model factories -------------------------------------------\n", + "MODEL_FNS = {\n", + " \"LogReg\" : lambda: make_pipeline(StandardScaler(),\n", + " LogisticRegression(max_iter=1000,\n", + " random_state=42)),\n", + " \"DecTree\" : lambda: DecisionTreeClassifier(random_state=42),\n", + " \"RandForest\":lambda: RandomForestClassifier(n_estimators=500,\n", + " random_state=42),\n", + " \"SVM\" : lambda: make_pipeline(StandardScaler(),\n", + " SVC(kernel=\"rbf\",\n", + " probability=True,\n", + " random_state=42)),\n", + "}\n", + "\n", + "records = []\n", + "\n", + "# ── 8. Run classification for each scenario ----------------------\n", + "for scen, feats in SCENARIOS.items():\n", + " # A. dataset\n", + " if scen == \"without\":\n", + " df = (pd.concat([data_raw[\"Copper_Price\"],\n", + " data_raw[\"Copper_Price\"].shift(1)\n", + " .rename(\"Copper_Price_lag1\")],\n", + " axis=1)\n", + " .dropna())\n", + " else:\n", + " df = lag_df(feats, lag=1)\n", + " # label\n", + " df[\"y\"] = (df[\"Copper_Price\"].diff().shift(-1) > 0).astype(int)\n", + " df.dropna(inplace=True)\n", + "\n", + " X, y = df.drop(columns=[\"Copper_Price\", \"y\"]), df[\"y\"]\n", + " cut = int(len(X) * 0.83)\n", + " X_tr, X_te, y_tr, y_te = X.iloc[:cut], X.iloc[cut:], y.iloc[:cut], y.iloc[cut:]\n", + "\n", + " # B. supervised models\n", + " fitted = {n: fn() for n, fn in MODEL_FNS.items()}\n", + " for n, clf in fitted.items():\n", + " clf.fit(X_tr, y_tr)\n", + "\n", + " # C. HMM\n", + " rets = df[\"Copper_Price\"].pct_change().dropna().values.reshape(-1, 1)\n", + " split_pt = cut - 1\n", + " hmm = GaussianHMM(n_components=2, covariance_type=\"full\",\n", + " n_iter=100, random_state=42).fit(rets[:split_pt])\n", + " states = hmm.predict(rets[split_pt:]) # length == len(y_te)\n", + " state_map = {s: int(mu > 0) for s, mu in enumerate(hmm.means_.flatten())}\n", + " y_pred_hmm = pd.Series([state_map[s] for s in states[:len(y_te)]],\n", + " index=y_te.index)\n", + "\n", + " # D. ensembles (use KFold to satisfy cross_val_predict)\n", + " kf = KFold(n_splits=5, shuffle=False)\n", + " voting = VotingClassifier([(n, c) for n, c in fitted.items()],\n", + " voting=\"hard\").fit(X_tr, y_tr)\n", + " stack = StackingClassifier([(n, c) for n, c in fitted.items()],\n", + " final_estimator=LogisticRegression(max_iter=1000,\n", + " random_state=42),\n", + " cv=kf, n_jobs=-1).fit(X_tr, y_tr)\n", + "\n", + " # E. accuracy scores\n", + " scores = {n: accuracy_score(y_te, c.predict(X_te)) for n, c in fitted.items()}\n", + " scores[\"HMM\"] = accuracy_score(y_te, y_pred_hmm)\n", + " scores[\"Voting\"] = accuracy_score(y_te, voting.predict(X_te))\n", + " scores[\"Stack\"] = accuracy_score(y_te, stack.predict(X_te))\n", + "\n", + " for mdl, acc in scores.items():\n", + " records.append({\"Model\": mdl, \"Scenario\": scen, \"Accuracy\": acc})\n", + "\n", + "# ── 9. Show comparison table -------------------------------------\n", + "acc_df = (pd.DataFrame(records)\n", + " .pivot_table(index=\"Model\", columns=\"Scenario\", values=\"Accuracy\")\n", + " .applymap(\"{:.2%}\".format)\n", + " .sort_index())\n", + "\n", + "print(\"\\nAccuracy comparison – direction prediction\")\n", + "display(acc_df)\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "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": "3.12.11" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/Copper Google Trend Analysis Weekly /Model Results/Fig4_Copper_vs_GTrends_split.png b/Copper Google Trend Analysis Weekly /Model Results/Fig4_Copper_vs_GTrends_split.png new file mode 100644 index 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sha256:c6385f656d6468aae440f7acf2a06d6364e6f424149085d3b5d883bf584f4c8c +size 18913 diff --git a/Copper Google Trend Analysis Weekly /Model Results/Horizon_4w/Table_10_Dstat.csv b/Copper Google Trend Analysis Weekly /Model Results/Horizon_4w/Table_10_Dstat.csv new file mode 100644 index 0000000000000000000000000000000000000000..43212848d3684643e542957aabca2a67015d4018 --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Model Results/Horizon_4w/Table_10_Dstat.csv @@ -0,0 +1,17 @@ +,Without Google Trends,Without Google Trends,p-value ≤ 5%,p-value ≤ 5%,p-value ≤ 10%,p-value ≤ 10% +,Dstat,No.,Dstat,No.,Dstat,No. +Model,,,,,, +RF,0.50,11,0.45,9,0.36,13 +ET,0.57,3,0.50,3,0.48,4 +AdaBoost,0.50,11,0.52,1,0.52,1 +GBDT,0.43,13,0.50,3,0.45,7 +XGB,0.34,14,0.02,14,0.02,14 +LR,0.57,3,0.45,9,0.48,4 +SVR,0.57,3,0.45,9,0.48,4 +MLP,0.57,3,0.50,3,0.52,1 +RF_LR,0.57,3,0.48,8,0.45,7 +ET_LR,0.59,1,0.50,3,0.45,7 +AdaBoost_LR,0.57,3,0.45,9,0.43,10 +GBDT_LR,0.59,1,0.52,1,0.52,1 +XGB_LR,0.57,3,0.45,9,0.43,10 +ET_AdaBoost_GBDT_Xgboost_RF_LR,0.57,3,0.50,3,0.43,10 diff --git a/Copper Google Trend Analysis Weekly /Model Results/Horizon_4w/Table_11_Comparison.csv b/Copper Google Trend Analysis Weekly /Model Results/Horizon_4w/Table_11_Comparison.csv new file mode 100644 index 0000000000000000000000000000000000000000..ee5673a7edb00a3d9b4a8dfe1971ac89e3cba021 --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Model Results/Horizon_4w/Table_11_Comparison.csv @@ -0,0 +1,43 @@ +Model,Criterion,0.01,0.05,0.10,without +AdaBoost,Dstat,0.34,0.52,0.52,0.50 +AdaBoost,MAPE,8.56%,8.05%,8.46%,5.70% +AdaBoost,RMSE,0.52,0.49,0.51,0.35 +AdaBoost_LR,Dstat,0.45,0.45,0.43,0.57 +AdaBoost_LR,MAPE,9.78%,9.83%,9.67%,5.39% +AdaBoost_LR,RMSE,0.59,0.56,0.55,0.31 +ET,Dstat,0.41,0.50,0.48,0.57 +ET,MAPE,9.94%,10.63%,10.83%,5.62% +ET,RMSE,0.58,0.61,0.62,0.35 +ET_AdaBoost_GBDT_Xgboost_RF_LR,Dstat,0.41,0.50,0.43,0.57 +ET_AdaBoost_GBDT_Xgboost_RF_LR,MAPE,8.64%,8.31%,7.63%,5.33% +ET_AdaBoost_GBDT_Xgboost_RF_LR,RMSE,0.50,0.47,0.44,0.31 +ET_LR,Dstat,0.43,0.50,0.45,0.59 +ET_LR,MAPE,8.78%,8.25%,7.98%,5.40% +ET_LR,RMSE,0.52,0.47,0.46,0.32 +GBDT,Dstat,0.45,0.50,0.45,0.43 +GBDT,MAPE,9.18%,8.92%,8.23%,5.74% +GBDT,RMSE,0.54,0.52,0.48,0.35 +GBDT_LR,Dstat,0.34,0.52,0.52,0.59 +GBDT_LR,MAPE,10.42%,10.02%,13.96%,5.49% +GBDT_LR,RMSE,0.62,0.57,0.81,0.32 +LR,Dstat,0.41,0.45,0.48,0.57 +LR,MAPE,8.72%,11.15%,12.12%,5.23% +LR,RMSE,0.53,0.72,0.80,0.31 +MLP,Dstat,0.39,0.50,0.52,0.57 +MLP,MAPE,25.06%,43.10%,21.73%,5.37% +MLP,RMSE,1.74,3.72,1.39,0.31 +RF,Dstat,0.45,0.45,0.36,0.50 +RF,MAPE,10.64%,9.06%,9.33%,5.61% +RF,RMSE,0.61,0.53,0.55,0.34 +RF_LR,Dstat,0.45,0.48,0.45,0.57 +RF_LR,MAPE,9.74%,8.62%,8.41%,5.44% +RF_LR,RMSE,0.57,0.49,0.48,0.32 +SVR,Dstat,0.34,0.45,0.48,0.57 +SVR,MAPE,8.65%,10.11%,10.02%,5.39% +SVR,RMSE,0.53,0.60,0.59,0.33 +XGB,Dstat,0.36,0.02,0.02,0.34 +XGB,MAPE,8.69%,11.91%,11.91%,5.72% +XGB,RMSE,0.52,0.66,0.66,0.35 +XGB_LR,Dstat,0.41,0.45,0.43,0.57 +XGB_LR,MAPE,10.08%,8.24%,8.19%,5.46% +XGB_LR,RMSE,0.60,0.48,0.48,0.32 diff --git a/Copper Google Trend Analysis Weekly /Model Results/Horizon_4w/Table_12_ImprovementRates.csv b/Copper Google Trend Analysis Weekly /Model Results/Horizon_4w/Table_12_ImprovementRates.csv new file mode 100644 index 0000000000000000000000000000000000000000..7f0d8b932234001a4298fed21ca1fc736ba6ca55 --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Model Results/Horizon_4w/Table_12_ImprovementRates.csv @@ -0,0 +1,15 @@ +Model,0.01,0.05,0.1 +AdaBoost,-31.82%,4.55%,4.55% +AdaBoost_LR,-20.00%,-20.00%,-24.00% +ET,-28.00%,-12.00%,-16.00% +ET_AdaBoost_GBDT_Xgboost_RF_LR,-28.00%,-12.00%,-24.00% +ET_LR,-26.92%,-15.38%,-23.08% +GBDT,5.26%,15.79%,5.26% +GBDT_LR,-42.31%,-11.54%,-11.54% +LR,-28.00%,-20.00%,-16.00% +MLP,-32.00%,-12.00%,-8.00% +RF,-9.09%,-9.09%,-27.27% +RF_LR,-20.00%,-16.00%,-20.00% +SVR,-40.00%,-20.00%,-16.00% +XGB,6.67%,-93.33%,-93.33% +XGB_LR,-28.00%,-20.00%,-24.00% diff --git a/Copper Google Trend Analysis Weekly /Model Results/Horizon_4w/Table_8_RMSE.csv b/Copper Google Trend Analysis Weekly /Model Results/Horizon_4w/Table_8_RMSE.csv new file mode 100644 index 0000000000000000000000000000000000000000..0e3f60f1500ec6d1a75bf0a8f5a86406b72a5d35 --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Model Results/Horizon_4w/Table_8_RMSE.csv @@ -0,0 +1,17 @@ +,Without Google Trends,Without Google Trends,p-value ≤ 5%,p-value ≤ 5%,p-value ≤ 10%,p-value ≤ 10% +,RMSE,No.,RMSE,No.,RMSE,No. +Model,,,,,, +RF,0.34,10,0.53,7,0.55,7 +ET,0.35,11,0.61,11,0.62,10 +AdaBoost,0.35,12,0.49,5,0.51,6 +GBDT,0.35,14,0.52,6,0.48,4 +XGB,0.35,13,0.66,12,0.66,11 +LR,0.31,1,0.72,13,0.80,12 +SVR,0.33,9,0.60,10,0.59,9 +MLP,0.31,2,3.72,14,1.39,14 +RF_LR,0.32,6,0.49,4,0.48,3 +ET_LR,0.32,5,0.47,1,0.46,2 +AdaBoost_LR,0.31,4,0.56,8,0.55,8 +GBDT_LR,0.32,8,0.57,9,0.81,13 +XGB_LR,0.32,7,0.48,3,0.48,5 +ET_AdaBoost_GBDT_Xgboost_RF_LR,0.31,3,0.47,2,0.44,1 diff --git a/Copper Google Trend Analysis Weekly /Model Results/Horizon_4w/Table_9_MAPE.csv b/Copper Google Trend Analysis Weekly /Model Results/Horizon_4w/Table_9_MAPE.csv new file mode 100644 index 0000000000000000000000000000000000000000..8bc983deb9daf4f35d10b94f219a9c65996d83f0 --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Model Results/Horizon_4w/Table_9_MAPE.csv @@ -0,0 +1,17 @@ +,Without Google Trends,Without Google Trends,p-value ≤ 5%,p-value ≤ 5%,p-value ≤ 10%,p-value ≤ 10% +,MAPE,No.,MAPE,No.,MAPE,No. +Model,,,,,, +RF,5.61%,10,9.06%,7,9.33%,7 +ET,5.62%,11,10.63%,11,10.83%,10 +AdaBoost,5.70%,12,8.05%,1,8.46%,6 +GBDT,5.74%,14,8.92%,6,8.23%,4 +XGB,5.72%,13,11.91%,13,11.91%,11 +LR,5.23%,1,11.15%,12,12.12%,12 +SVR,5.39%,4,10.11%,10,10.02%,9 +MLP,5.37%,3,43.10%,14,21.73%,14 +RF_LR,5.44%,7,8.62%,5,8.41%,5 +ET_LR,5.40%,6,8.25%,3,7.98%,2 +AdaBoost_LR,5.39%,5,9.83%,8,9.67%,8 +GBDT_LR,5.49%,9,10.02%,9,13.96%,13 +XGB_LR,5.46%,8,8.24%,2,8.19%,3 +ET_AdaBoost_GBDT_Xgboost_RF_LR,5.33%,2,8.31%,4,7.63%,1 diff --git a/Copper Google Trend Analysis Weekly /Model Results/Horizon_52w/Fig4_Copper_vs_GTrends_tier0.01.png b/Copper Google Trend Analysis Weekly /Model Results/Horizon_52w/Fig4_Copper_vs_GTrends_tier0.01.png new file mode 100644 index 0000000000000000000000000000000000000000..08c6600814003015caa90d82604466d7efae585c --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Model Results/Horizon_52w/Fig4_Copper_vs_GTrends_tier0.01.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1a93e9b18b9abe8a404cfd9ec4d9310f9ef5e08c39cab316c1cee53de683f865 +size 348042 diff --git a/Copper Google Trend Analysis Weekly /Model Results/Horizon_52w/Fig5_Forecasts_tier0.01.png b/Copper Google Trend Analysis Weekly /Model Results/Horizon_52w/Fig5_Forecasts_tier0.01.png new file mode 100644 index 0000000000000000000000000000000000000000..8a7c2740783907eb02ae1d0c375159714f27aa09 --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Model Results/Horizon_52w/Fig5_Forecasts_tier0.01.png @@ -0,0 +1,3 @@ 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0000000000000000000000000000000000000000..79787a11306f563e2d170dcd93b825d60f238467 --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Model Results/Horizon_52w/Fig_SHAP_importance_tier0.01.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d32d93b28eab043f7afe83286d4d0e68042a9379507d968771460e17332dcc88 +size 32220 diff --git a/Copper Google Trend Analysis Weekly /Model Results/Horizon_52w/Table_10_Dstat.csv b/Copper Google Trend Analysis Weekly /Model Results/Horizon_52w/Table_10_Dstat.csv new file mode 100644 index 0000000000000000000000000000000000000000..c9b1501a49a0bcd067e91a634e13a2ba133ebeed --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Model Results/Horizon_52w/Table_10_Dstat.csv @@ -0,0 +1,17 @@ +,Without Google Trends,Without Google Trends,p-value ≤ 5%,p-value ≤ 5%,p-value ≤ 10%,p-value ≤ 10% +,Dstat,No.,Dstat,No.,Dstat,No. +Model,,,,,, +RF,0.49,5,0.57,3,0.57,1 +ET,0.46,7,0.51,5,0.57,1 +AdaBoost,0.40,13,0.60,2,0.57,1 +GBDT,0.43,10,0.54,4,0.51,6 +XGB,0.03,14,0.14,14,0.31,14 +LR,0.54,1,0.43,10,0.43,10 +SVR,0.54,1,0.63,1,0.57,1 +MLP,0.43,10,0.40,13,0.43,10 +RF_LR,0.49,5,0.43,10,0.43,10 +ET_LR,0.46,7,0.51,5,0.49,7 +AdaBoost_LR,0.51,3,0.49,7,0.40,13 +GBDT_LR,0.43,10,0.49,7,0.46,8 +XGB_LR,0.51,3,0.46,9,0.46,8 +ET_AdaBoost_GBDT_Xgboost_RF_LR,0.46,7,0.43,10,0.54,5 diff --git a/Copper Google Trend Analysis Weekly /Model Results/Horizon_52w/Table_11_Comparison.csv b/Copper Google Trend Analysis Weekly /Model Results/Horizon_52w/Table_11_Comparison.csv new file mode 100644 index 0000000000000000000000000000000000000000..566b41b419659ff823115f4f40464dd75ec23a3f --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Model Results/Horizon_52w/Table_11_Comparison.csv @@ -0,0 +1,43 @@ +Model,Criterion,0.01,0.05,0.10,without +AdaBoost,Dstat,0.57,0.60,0.57,0.40 +AdaBoost,MAPE,12.32%,8.24%,7.67%,11.29% +AdaBoost,RMSE,0.69,0.50,0.48,0.68 +AdaBoost_LR,Dstat,0.40,0.49,0.40,0.51 +AdaBoost_LR,MAPE,9.93%,12.01%,15.34%,12.22% +AdaBoost_LR,RMSE,0.59,0.70,0.89,0.72 +ET,Dstat,0.57,0.51,0.57,0.46 +ET,MAPE,10.95%,8.29%,7.10%,11.04% +ET,RMSE,0.64,0.51,0.46,0.67 +ET_AdaBoost_GBDT_Xgboost_RF_LR,Dstat,0.43,0.43,0.54,0.46 +ET_AdaBoost_GBDT_Xgboost_RF_LR,MAPE,10.06%,17.04%,15.55%,10.04% +ET_AdaBoost_GBDT_Xgboost_RF_LR,RMSE,0.59,0.91,0.89,0.61 +ET_LR,Dstat,0.40,0.51,0.49,0.46 +ET_LR,MAPE,9.75%,15.12%,16.63%,12.60% +ET_LR,RMSE,0.58,0.85,0.97,0.72 +GBDT,Dstat,0.63,0.54,0.51,0.43 +GBDT,MAPE,11.84%,7.09%,6.57%,10.74% +GBDT,RMSE,0.66,0.46,0.43,0.65 +GBDT_LR,Dstat,0.34,0.49,0.46,0.43 +GBDT_LR,MAPE,9.81%,11.57%,14.56%,12.45% +GBDT_LR,RMSE,0.59,0.69,0.87,0.73 +LR,Dstat,0.51,0.43,0.43,0.54 +LR,MAPE,10.38%,9.15%,11.54%,11.82% +LR,RMSE,0.61,0.57,0.69,0.71 +MLP,Dstat,0.54,0.40,0.43,0.43 +MLP,MAPE,11.35%,9.64%,11.14%,11.76% +MLP,RMSE,0.67,0.61,0.63,0.70 +RF,Dstat,0.54,0.57,0.57,0.49 +RF,MAPE,11.33%,7.83%,7.15%,10.69% +RF,RMSE,0.65,0.49,0.46,0.65 +RF_LR,Dstat,0.43,0.43,0.43,0.49 +RF_LR,MAPE,9.61%,13.78%,16.64%,12.27% +RF_LR,RMSE,0.58,0.78,0.96,0.72 +SVR,Dstat,0.57,0.63,0.57,0.54 +SVR,MAPE,11.26%,10.32%,9.62%,12.00% +SVR,RMSE,0.65,0.62,0.56,0.71 +XGB,Dstat,0.57,0.14,0.31,0.03 +XGB,MAPE,11.88%,9.44%,9.84%,10.55% +XGB,RMSE,0.67,0.57,0.59,0.63 +XGB_LR,Dstat,0.43,0.46,0.46,0.51 +XGB_LR,MAPE,9.83%,16.03%,15.25%,11.10% +XGB_LR,RMSE,0.58,0.87,0.84,0.66 diff --git a/Copper Google Trend Analysis Weekly /Model Results/Horizon_52w/Table_12_ImprovementRates.csv b/Copper Google Trend Analysis Weekly /Model Results/Horizon_52w/Table_12_ImprovementRates.csv new file mode 100644 index 0000000000000000000000000000000000000000..2325801265b552de61b384052b83c90bf88f6ad8 --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Model Results/Horizon_52w/Table_12_ImprovementRates.csv @@ -0,0 +1,15 @@ +Model,0.01,0.05,0.1 +AdaBoost,42.86%,50.00%,42.86% +AdaBoost_LR,-22.22%,-5.56%,-22.22% +ET,25.00%,12.50%,25.00% +ET_AdaBoost_GBDT_Xgboost_RF_LR,-6.25%,-6.25%,18.75% +ET_LR,-12.50%,12.50%,6.25% +GBDT,46.67%,26.67%,20.00% +GBDT_LR,-20.00%,13.33%,6.67% +LR,-5.26%,-21.05%,-21.05% +MLP,26.67%,-6.67%,0.00% +RF,11.76%,17.65%,17.65% +RF_LR,-11.76%,-11.76%,-11.76% +SVR,5.26%,15.79%,5.26% +XGB,1900.00%,400.00%,1000.00% +XGB_LR,-16.67%,-11.11%,-11.11% diff --git a/Copper Google Trend Analysis Weekly /Model Results/Horizon_52w/Table_8_RMSE.csv b/Copper Google Trend Analysis Weekly /Model Results/Horizon_52w/Table_8_RMSE.csv new file mode 100644 index 0000000000000000000000000000000000000000..6e1e07ab7fcd915d173d75df4a8775c753b8703d --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Model Results/Horizon_52w/Table_8_RMSE.csv @@ -0,0 +1,17 @@ +,Without Google Trends,Without Google Trends,p-value ≤ 5%,p-value ≤ 5%,p-value ≤ 10%,p-value ≤ 10% +,RMSE,No.,RMSE,No.,RMSE,No. +Model,,,,,, +RF,0.65,3,0.49,2,0.46,3 +ET,0.67,6,0.51,4,0.46,2 +AdaBoost,0.68,7,0.50,3,0.48,4 +GBDT,0.65,4,0.46,1,0.43,1 +XGB,0.63,2,0.57,6,0.59,6 +LR,0.71,9,0.57,5,0.69,8 +SVR,0.71,10,0.62,8,0.56,5 +MLP,0.70,8,0.61,7,0.63,7 +RF_LR,0.72,13,0.78,11,0.96,13 +ET_LR,0.72,12,0.85,12,0.97,14 +AdaBoost_LR,0.72,11,0.70,10,0.89,11 +GBDT_LR,0.73,14,0.69,9,0.87,10 +XGB_LR,0.66,5,0.87,13,0.84,9 +ET_AdaBoost_GBDT_Xgboost_RF_LR,0.61,1,0.91,14,0.89,12 diff --git a/Copper Google Trend Analysis Weekly /Model Results/Horizon_52w/Table_9_MAPE.csv b/Copper Google Trend Analysis Weekly /Model Results/Horizon_52w/Table_9_MAPE.csv new file mode 100644 index 0000000000000000000000000000000000000000..a0b134b31dd915af98d6a1da359d9ed14bfe33d6 --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Model Results/Horizon_52w/Table_9_MAPE.csv @@ -0,0 +1,17 @@ +,Without Google Trends,Without Google Trends,p-value ≤ 5%,p-value ≤ 5%,p-value ≤ 10%,p-value ≤ 10% +,MAPE,No.,MAPE,No.,MAPE,No. +Model,,,,,, +RF,10.69%,3,7.83%,2,7.15%,3 +ET,11.04%,5,8.29%,4,7.10%,2 +AdaBoost,11.29%,7,8.24%,3,7.67%,4 +GBDT,10.74%,4,7.09%,1,6.57%,1 +XGB,10.55%,2,9.44%,6,9.84%,6 +LR,11.82%,9,9.15%,5,11.54%,8 +SVR,12.00%,10,10.32%,8,9.62%,5 +MLP,11.76%,8,9.64%,7,11.14%,7 +RF_LR,12.27%,12,13.78%,11,16.64%,14 +ET_LR,12.60%,14,15.12%,12,16.63%,13 +AdaBoost_LR,12.22%,11,12.01%,10,15.34%,11 +GBDT_LR,12.45%,13,11.57%,9,14.56%,9 +XGB_LR,11.10%,6,16.03%,13,15.25%,10 +ET_AdaBoost_GBDT_Xgboost_RF_LR,10.04%,1,17.04%,14,15.55%,12 diff --git a/Copper Google Trend Analysis Weekly /Model Results/Table_10_Dstat.csv b/Copper Google Trend Analysis Weekly /Model Results/Table_10_Dstat.csv new file mode 100644 index 0000000000000000000000000000000000000000..fe6aa0c707f7723b55e00cbaeb057b700c75cb79 --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Model Results/Table_10_Dstat.csv @@ -0,0 +1,19 @@ +,Without Google Trends,Without Google Trends,p-value ≤ 5%,p-value ≤ 5%,p-value ≤ 10%,p-value ≤ 10% +,Dstat,No.,Dstat,No.,Dstat,No. +Model,,,,,, +RF,0.41,14,0.48,4,0.57,4 +ET,0.50,1,0.50,2,0.57,4 +AdaBoost,0.39,15,0.48,4,0.52,7 +GBDT,0.43,13,0.45,8,0.57,4 +XGB,0.32,16,0.07,16,0.07,16 +LR,0.50,1,0.50,2,0.50,9 +SVR,0.50,1,0.25,15,0.50,9 +MLP,0.50,1,0.43,12,0.45,11 +RF_LR,0.50,1,0.45,8,0.52,7 +ET_LR,0.50,1,0.52,1,0.59,3 +AdaBoost_LR,0.50,1,0.45,8,0.45,11 +GBDT_LR,0.50,1,0.45,8,0.43,13 +XGB_LR,0.50,1,0.48,4,0.61,2 +ET_AdaBoost_GBDT_Xgboost_RF_LR,0.50,1,0.48,4,0.68,1 +LSTM,0.50,1,0.34,13,0.30,15 +GRU,0.50,1,0.30,14,0.32,14 diff --git a/Copper Google Trend Analysis Weekly /Model Results/Table_11_Comparison.csv b/Copper Google Trend Analysis Weekly /Model Results/Table_11_Comparison.csv new file mode 100644 index 0000000000000000000000000000000000000000..ee334141fe6639d01eacc0d5db6239784e4ce227 --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Model Results/Table_11_Comparison.csv @@ -0,0 +1,49 @@ +Model,Criterion,0.01,0.05,0.10,without +AdaBoost,Dstat,0.39,0.48,0.52,0.39 +AdaBoost,MAPE,8.33%,8.44%,8.74%,3.30% +AdaBoost,RMSE,0.49,0.48,0.50,0.20 +AdaBoost_LR,Dstat,0.50,0.45,0.45,0.50 +AdaBoost_LR,MAPE,13.46%,13.75%,13.94%,2.66% +AdaBoost_LR,RMSE,0.82,0.89,0.94,0.17 +ET,Dstat,0.39,0.50,0.57,0.50 +ET,MAPE,11.79%,10.66%,10.80%,3.42% +ET,RMSE,0.63,0.58,0.59,0.21 +ET_AdaBoost_GBDT_Xgboost_RF_LR,Dstat,0.41,0.48,0.68,0.50 +ET_AdaBoost_GBDT_Xgboost_RF_LR,MAPE,11.73%,14.94%,14.17%,2.73% +ET_AdaBoost_GBDT_Xgboost_RF_LR,RMSE,0.75,1.02,0.92,0.17 +ET_LR,Dstat,0.43,0.52,0.59,0.50 +ET_LR,MAPE,10.58%,13.06%,13.45%,2.65% +ET_LR,RMSE,0.63,0.93,1.00,0.17 +GBDT,Dstat,0.41,0.45,0.57,0.43 +GBDT,MAPE,8.26%,8.19%,8.98%,3.56% +GBDT,RMSE,0.46,0.46,0.48,0.21 +GBDT_LR,Dstat,0.45,0.45,0.43,0.50 +GBDT_LR,MAPE,14.96%,15.59%,15.31%,2.66% +GBDT_LR,RMSE,0.96,1.04,1.08,0.17 +GRU,Dstat,0.02,0.30,0.32,0.50 +GRU,MAPE,11.70%,9.91%,9.52%,5.60% +GRU,RMSE,0.62,0.55,0.52,0.32 +LR,Dstat,0.43,0.50,0.50,0.50 +LR,MAPE,11.39%,16.43%,16.83%,2.66% +LR,RMSE,0.67,1.17,1.20,0.17 +LSTM,Dstat,0.00,0.34,0.30,0.50 +LSTM,MAPE,12.23%,8.64%,9.59%,4.98% +LSTM,RMSE,0.68,0.49,0.55,0.28 +MLP,Dstat,0.66,0.43,0.45,0.50 +MLP,MAPE,21.32%,41.78%,21.38%,3.00% +MLP,RMSE,1.48,3.23,1.30,0.19 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+ET_AdaBoost_GBDT_Xgboost_RF_LR,-18.18%,-4.55% +ET_LR,-13.64%,4.55% +GBDT,-5.26%,5.26% +GBDT_LR,-9.09%,-9.09% +GRU,-95.45%,-40.91% +LR,-13.64%,0.00% +LSTM,-100.00%,-31.82% +MLP,31.82%,-13.64% +RF,38.89%,16.67% +RF_LR,-18.18%,-9.09% +SVR,13.64%,-50.00% +XGB,-100.00%,-78.57% +XGB_LR,-13.64%,-4.55% diff --git a/Copper Google Trend Analysis Weekly /Model Results/Table_8_RMSE.csv b/Copper Google Trend Analysis Weekly /Model Results/Table_8_RMSE.csv new file mode 100644 index 0000000000000000000000000000000000000000..30ab582c8ca2d10e5a1353376c30ae10e498f80c --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Model Results/Table_8_RMSE.csv @@ -0,0 +1,19 @@ +,Without Google Trends,Without Google Trends,p-value ≤ 5%,p-value ≤ 5%,p-value ≤ 10%,p-value ≤ 10% +,RMSE,No.,RMSE,No.,RMSE,No. +Model,,,,,, +RF,0.21,11,0.52,4,0.53,4 +ET,0.21,12,0.58,6,0.59,7 +AdaBoost,0.20,10,0.48,2,0.50,2 +GBDT,0.21,13,0.46,1,0.48,1 +XGB,0.22,14,0.62,8,0.62,8 +LR,0.17,3,1.17,15,1.20,15 +SVR,0.18,8,0.62,7,0.58,6 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+2025-06-15,41 +2025-06-22,45 +2025-06-29,39 diff --git a/Copper Google Trend Analysis Weekly /Statistical Testing Results/Table_4_ADF.csv b/Copper Google Trend Analysis Weekly /Statistical Testing Results/Table_4_ADF.csv new file mode 100644 index 0000000000000000000000000000000000000000..97cdca9e6e1435a5e51dd9ed7520866ef86cb157 --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Statistical Testing Results/Table_4_ADF.csv @@ -0,0 +1,99 @@ +,Level p,Diff p +Building construction copper,1.7900994795384209e-29,2.613017235800325e-09 +US copper production,2.4462066601848264e-29,2.2104998936196234e-12 +Copper mining cost,2.4657491606627865e-29,1.4500005493453985e-11 +Commodity speculation,2.7737072362646724e-29,7.116474556468111e-12 +Chile copper production,3.3018384941508634e-29,7.956667669747819e-12 +Emerging market currencies,3.4864944941538416e-29,3.584331772768369e-15 +Copper mine accident,3.9222576314039177e-29,1.3585710664016375e-13 +Interest rates copper,4.1530634641286686e-29,1.8417897532865004e-17 +Copper cathode production,4.17221249031441e-29,1.0668121500201482e-14 +Long term government bond yield,4.250318804230253e-29,2.771343564201219e-16 +China copper production,4.4134572621868425e-29,3.9713136801112317e-13 +Copper reserves by country,4.4812722198411576e-29,4.3712865853708226e-16 +China copper demand,4.500218710788096e-29,1.7324317434604483e-13 +Copper trade war,4.7205448532983467e-29,9.858786961814458e-15 +Copper refinery,5.060432539734853e-29,2.327966197318743e-14 +Peru copper production,6.187074533022583e-29,1.1753751903145045e-14 +Copper futures prices,1.5828312999189299e-28,9.776265564350618e-13 +Copper mine production,1.8221017235402402e-28,3.882547557743128e-13 +Power grid expansion,2.615238713721099e-28,7.103428340794723e-15 +Peru copper mining,4.0041135689047706e-28,1.1105076575371897e-13 +Copper derivative,6.744361324681462e-28,5.139462314550649e-11 +Mining natural disaster,1.2809629441424412e-27,4.334784067715868e-18 +Resource nationalism,3.4144050189230896e-27,7.680277288771378e-18 +Global copper production,6.601760617637897e-27,3.709125120203371e-10 +Mining accidents,2.3854272585719555e-26,1.7901178979018092e-09 +Copper ore production,1.8817390616169976e-24,7.122897221558996e-19 +Recycled copper,1.162169693466569e-18,1.1415692236687244e-24 +Transportation disruption,1.51665635965065e-17,1.0615457811697849e-11 +Copper production by country,5.552461642590537e-15,4.559517104903404e-11 +Copper smelter,1.3914405882257057e-13,1.9750355202452977e-17 +Copper mining companies,4.0310316006762824e-11,3.3053001750112064e-15 +Hurricane copper,5.348263501636269e-11,1.173059278146315e-12 +LME copper prices,6.441585088988688e-11,2.893385460021808e-11 +Copper project,9.571722012189106e-11,3.648465192271327e-13 +Copper mine strike,4.015711451541247e-10,1.0282681623834933e-14 +Infrastructure spending,6.402190400735146e-10,1.30695538212036e-10 +Expected return,1.9643532806310002e-08,2.537006112704631e-11 +Climate change mining,3.019451318600465e-08,1.6387668377430907e-09 +2008 crisis,4.84114923123151e-08,4.28894981875116e-23 +Federal Reserve policy,2.00437088857327e-07,3.0730760594618163e-12 +London Metal Exchange,2.395433349131788e-07,5.891879671544649e-10 +Foreign exchange rates,4.892651629561081e-07,4.019549984872856e-22 +Income,6.454059974003861e-07,2.2863138520118477e-09 +Copper price news,1.2938405778780872e-06,1.7985184085248084e-13 +Congo copper,2.3459471318136683e-05,5.685652952475439e-14 +Volatility index,2.7816878821769903e-05,1.7104437051458865e-14 +Central bank policies,2.8894225820878132e-05,2.7159303268211775e-27 +Earthquake copper,2.8897950431390356e-05,1.8404883571182982e-10 +Construction activity,4.9956283201007507e-05,1.844792594941711e-24 +Copper mining,6.679424406329246e-05,7.666105735569878e-17 +US dollar index,6.98106239887082e-05,4.772783805517793e-12 +5G infrastructure,0.0001224252912754453,2.217040145998398e-11 +Copper option,0.00014308910473962908,1.433732753255895e-07 +Copper fund,0.00017021013191093065,5.010228237759472e-12 +Copper ETF,0.00018323541508762276,1.570701465687855e-17 +Banking crisis,0.00022281867187815533,2.1542657452686944e-20 +Conflicts,0.00029449527232080754,1.3554467478148782e-09 +Copper resource,0.000411659012715035,1.1002664719334481e-13 +Renewable energy,0.0005101469120745104,2.0615863096245765e-14 +Dollar index,0.0010714327158826483,1.1935217761160405e-20 +Developing country GDP,0.0010987426360325393,1.3487192652607449e-25 +Brexit,0.0016230638646641338,1.689339016765087e-17 +Economy recession,0.001862359030606582,6.369394509481804e-24 +Economy,0.002815268754988244,5.918748561660785e-08 +Aluminum production,0.002817921924070365,1.0448234719681573e-28 +Commodity index funds,0.0033707320662841682,3.0718559937353824e-14 +Steel production,0.004866487505314306,1.2169859934516e-18 +Pandemic copper,0.006989641238202687,3.435829455422064e-23 +Copper futures,0.007642007797963991,5.47133270908945e-13 +Stock returns,0.00894975416321023,2.6928777426035046e-29 +Extreme weather,0.012797959996432014,4.3711664428868503e-20 +Trade war,0.01348452809160951,1.7730148920157684e-05 +Middle East conflicts,0.014029157066090238,8.015690486746416e-13 +Inflation expectations,0.028262178046573362,1.04695332078044e-06 +World GDP by country,0.03675003479623199,1.1608317394410255e-25 +Scrap copper prices,0.04030192991149787,1.302767385303855e-08 +Global GDP growth,0.043068109090173445,1.460715915243294e-21 +Copper price forecast,0.04673797015477211,5.961304965966882e-16 +Mining sanctions,0.04830779342653216,2.5910472639500765e-14 +Currency exchange rates,0.06721111271836093,4.0349791918068915e-28 +Copper_Price,0.10655862272911154,5.6881541310149384e-30 +Copper ore reserves,0.10976320312282828,8.081185090647021e-13 +COVID copper,0.11076872680314043,1.099043292672123e-26 +Iran Iraq War,0.12476443599498493,1.0394498803849675e-13 +Euro exchange rate,0.12851977932176717,0.0011731600611113702 +RMB exchange rate,0.16926595882474887,1.672854376290198e-17 +Bloomberg,0.26525826024245186,2.5005434611470045e-15 +Electric vehicle demand,0.284318640940755,1.3666966087833417e-17 +Energy crisis,0.29815380970858535,4.066738444600167e-10 +Copper concentrate,0.3440711408486846,2.147667353471477e-17 +Yahoo finance,0.4570873001621981,7.22965466591471e-11 +5G technology,0.7197734353616684,6.991469843898078e-08 +Manufacturing PMI,0.7804012350390088,5.897409985133309e-14 +COVID,0.7919955777467805,9.780157855791148e-09 +Terrorist attack,0.8096868814344933,2.8199277865595175e-12 +Electronics manufacturing,0.8776329090452168,9.378599885398105e-13 +China US trade tensions,0.9988526940662933,0.00020607671374853247 +Copper tariff,1.0,4.3211948276153256e-05 diff --git a/Copper Google Trend Analysis Weekly /Statistical Testing Results/Table_5_Cointegration.csv b/Copper Google Trend Analysis Weekly /Statistical Testing Results/Table_5_Cointegration.csv new file mode 100644 index 0000000000000000000000000000000000000000..f49f2e3fb018a20d16d168b3b2c779d6600bc5a9 --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Statistical Testing Results/Table_5_Cointegration.csv @@ -0,0 +1,28 @@ +Series,t,p +Iran Iraq War,-2.894294324111501,0.13751636229180708 +5G technology,-2.8165617032554713,0.16047197093136695 +Electronics manufacturing,-2.7910860623444664,0.16853738820369363 +Copper ore reserves,-2.7674923212912765,0.17624732794240355 +Currency exchange rates,-2.704030226535582,0.19813250779342778 +Copper concentrate,-2.6545468726369275,0.2163503665295065 +Middle East conflicts,-2.6240316576458453,0.22808167063135615 +Mining sanctions,-2.5873638055657415,0.24195437128960257 +Yahoo finance,-2.577471156617216,0.24601033398582578 +RMB exchange rate,-2.5757800198456327,0.24670755169355418 +Energy crisis,-2.56178690092065,0.2525194268463863 +Scrap copper prices,-2.5581111472347673,0.25405869476936493 +Manufacturing PMI,-2.554802761582544,0.2554485669941774 +COVID,-2.54031015716684,0.26158621062051735 +Extreme weather,-2.5326184467996367,0.26487588716255545 +Euro exchange rate,-2.528876100214743,0.26648444993943765 +Copper tariff,-2.5263401605893967,0.2675774226773063 +China US trade tensions,-2.512061996624816,0.2737753887698511 +COVID copper,-2.511617855111627,0.2739693784899463 +Electric vehicle demand,-2.4722957980387723,0.2914221856980035 +Bloomberg,-2.3920358862280486,0.3286362058196973 +Copper price forecast,-2.3661544508480743,0.3410478887157834 +Terrorist attack,-2.325684766827224,0.3608087691721615 +Trade war,-2.3009525278015572,0.37307757709479317 +Global GDP growth,-2.268394022518218,0.3894253143941389 +World GDP by country,-2.253344285155069,0.3970496892004519 +Inflation expectations,-2.2304071050460643,0.4087430896629993 diff --git a/Copper Google Trend Analysis Weekly /Statistical Testing Results/Table_6_Granger.csv b/Copper Google Trend Analysis Weekly /Statistical Testing Results/Table_6_Granger.csv new file mode 100644 index 0000000000000000000000000000000000000000..635c8165974a44eb86c133a5a56bfaff9b3ea808 --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Statistical Testing Results/Table_6_Granger.csv @@ -0,0 +1,625 @@ +,Series,Lag,p +24,5G technology,1,0.9159165818619813 +25,5G technology,2,0.49529548102489795 +26,5G technology,3,0.47653991660109074 +27,5G technology,4,0.5444024578289668 +28,5G technology,5,0.3708997537317965 +29,5G technology,6,0.4893787092378994 +30,5G technology,7,0.5591337906220196 +31,5G technology,8,0.6000526502149184 +32,5G technology,9,0.6043697614947844 +33,5G technology,10,0.6905494567454805 +34,5G technology,11,0.749599885797955 +35,5G technology,12,0.7549690623918324 +36,5G technology,13,0.853803202648366 +37,5G technology,14,0.8606441560772671 +38,5G technology,15,0.9026168712084071 +39,5G technology,16,0.8610985216853357 +40,5G 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trade tensions,1,0.02629490201442455 +409,China US trade tensions,2,0.06539373364930076 +410,China US trade tensions,3,0.12926853137453465 +411,China US trade tensions,4,0.20572259661203243 +412,China US trade tensions,5,0.029613873185664313 +413,China US trade tensions,6,0.0440509270595246 +414,China US trade tensions,7,0.08414109710330413 +415,China US trade tensions,8,0.06064395937593849 +416,China US trade tensions,9,0.16408666484594467 +417,China US trade tensions,10,0.21673185463124697 +418,China US trade tensions,11,0.20058416694125564 +419,China US trade tensions,12,0.35281292891739613 +420,China US trade tensions,13,0.13101256465916714 +421,China US trade tensions,14,0.1321945339217454 +422,China US trade tensions,15,0.17690410118235927 +423,China US trade tensions,16,0.2203593395662829 +424,China US trade tensions,17,0.28265201113020716 +425,China US trade tensions,18,0.22849387573669988 +426,China US trade tensions,19,0.30428952257305064 +427,China US trade 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tariff,8,0.01823934479119159 +392,Copper tariff,9,0.005632154472539084 +393,Copper tariff,10,0.008428170503328442 +394,Copper tariff,11,0.013759661780448199 +395,Copper tariff,12,0.009124012299402415 +396,Copper tariff,13,0.014000270811958156 +397,Copper tariff,14,0.02003522791277708 +398,Copper tariff,15,0.017145610474362385 +399,Copper tariff,16,0.025920003926609213 +400,Copper tariff,17,0.0396456282663128 +401,Copper tariff,18,0.04995495207960125 +402,Copper tariff,19,0.08638716426631432 +403,Copper tariff,20,0.11261310539858088 +404,Copper tariff,21,0.14279424695692994 +405,Copper tariff,22,0.18171893582682985 +406,Copper tariff,23,0.18652746370429701 +407,Copper tariff,24,0.16896715694644596 +96,Currency exchange rates,1,0.1419918430297246 +97,Currency exchange rates,2,0.26115679033801414 +98,Currency exchange rates,3,0.23916779807238778 +99,Currency exchange rates,4,0.21922394135345274 +100,Currency exchange rates,5,0.29746889193571324 +101,Currency exchange 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demand,21,0.9496660011749217 +477,Electric vehicle demand,22,0.964115798427689 +478,Electric vehicle demand,23,0.9790033905085147 +479,Electric vehicle demand,24,0.9716528904965362 +48,Electronics manufacturing,1,0.3316885833519133 +49,Electronics manufacturing,2,0.03706742005836293 +50,Electronics manufacturing,3,0.07781132393760386 +51,Electronics manufacturing,4,0.16042678025357537 +52,Electronics manufacturing,5,0.24049737475980512 +53,Electronics manufacturing,6,0.13278676701888797 +54,Electronics manufacturing,7,0.1777065557945776 +55,Electronics manufacturing,8,0.24454941814322892 +56,Electronics manufacturing,9,0.3090918286977282 +57,Electronics manufacturing,10,0.31131479888170616 +58,Electronics manufacturing,11,0.32789590777872046 +59,Electronics manufacturing,12,0.2073724752034057 +60,Electronics manufacturing,13,0.10759761881593831 +61,Electronics manufacturing,14,0.12756505055234513 +62,Electronics manufacturing,15,0.17205429175461726 +63,Electronics 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War,8,0.09582091552752459 +8,Iran Iraq War,9,0.13531675034960947 +9,Iran Iraq War,10,0.20825042924730022 +10,Iran Iraq War,11,0.18396394077187736 +11,Iran Iraq War,12,0.13030112452194487 +12,Iran Iraq War,13,0.09688981025254757 +13,Iran Iraq War,14,0.13732695024832772 +14,Iran Iraq War,15,0.17349052458079367 +15,Iran Iraq War,16,0.1828423118219051 +16,Iran Iraq War,17,0.17876620493521955 +17,Iran Iraq War,18,0.09508149017541684 +18,Iran Iraq War,19,0.1590542800319109 +19,Iran Iraq War,20,0.17944413571814077 +20,Iran Iraq War,21,0.10123374494612199 +21,Iran Iraq War,22,0.08472433658525731 +22,Iran Iraq War,23,0.09488370584795776 +23,Iran Iraq War,24,0.1590588609767373 +288,Manufacturing PMI,1,0.3598745882754598 +289,Manufacturing PMI,2,0.6423537537715641 +290,Manufacturing PMI,3,0.5093139482701086 +291,Manufacturing PMI,4,0.5780038415213586 +292,Manufacturing PMI,5,0.7037432316655365 +293,Manufacturing PMI,6,0.8169149023708406 +294,Manufacturing PMI,7,0.45398466159243633 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sanctions,2,0.1672174308510578 +170,Mining sanctions,3,0.03234145213352448 +171,Mining sanctions,4,0.03263973183401893 +172,Mining sanctions,5,0.0578390385474427 +173,Mining sanctions,6,0.08333863020092151 +174,Mining sanctions,7,0.0769704765598627 +175,Mining sanctions,8,0.10958126205652778 +176,Mining sanctions,9,0.14543940478017164 +177,Mining sanctions,10,0.05307488863640703 +178,Mining sanctions,11,0.04837374636896882 +179,Mining sanctions,12,0.016535795025892912 +180,Mining sanctions,13,0.03002834658481318 +181,Mining sanctions,14,0.0061395866661793416 +182,Mining sanctions,15,0.010897819089317537 +183,Mining sanctions,16,0.016606421298310525 +184,Mining sanctions,17,0.01657943212710057 +185,Mining sanctions,18,0.0306162439307639 +186,Mining sanctions,19,0.036664519636591494 +187,Mining sanctions,20,0.05564263491881682 +188,Mining sanctions,21,0.016278851015739636 +189,Mining sanctions,22,0.01797548453669681 +190,Mining sanctions,23,0.020828116301985555 +191,Mining 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rate,22,0.36976977763050295 +238,RMB exchange rate,23,0.4431538052852091 +239,RMB exchange rate,24,0.5838218826139714 +264,Scrap copper prices,1,0.4446837933331351 +265,Scrap copper prices,2,0.5952248720455857 +266,Scrap copper prices,3,0.13705050915493383 +267,Scrap copper prices,4,0.14711837737746583 +268,Scrap copper prices,5,0.14276066900618192 +269,Scrap copper prices,6,0.19150437928406638 +270,Scrap copper prices,7,0.26472513744231874 +271,Scrap copper prices,8,0.33113866411476334 +272,Scrap copper prices,9,0.203993745091993 +273,Scrap copper prices,10,0.15844320540681228 +274,Scrap copper prices,11,0.21316334261799563 +275,Scrap copper prices,12,0.1402216301444148 +276,Scrap copper prices,13,0.12027362613076727 +277,Scrap copper prices,14,0.1274971495190501 +278,Scrap copper prices,15,0.1083325969635566 +279,Scrap copper prices,16,0.15217098115345168 +280,Scrap copper prices,17,0.10991161352061225 +281,Scrap copper prices,18,0.08719843512658462 +282,Scrap copper prices,19,0.08765253970412304 +283,Scrap copper prices,20,0.05827197625923966 +284,Scrap copper prices,21,0.01963677816681799 +285,Scrap copper prices,22,0.020175282978768732 +286,Scrap copper prices,23,0.02461249477366409 +287,Scrap copper prices,24,0.059328637168100946 +528,Terrorist attack,1,0.697469331938274 +529,Terrorist attack,2,0.6235696955791828 +530,Terrorist attack,3,0.7964934061825578 +531,Terrorist attack,4,0.22702194126647127 +532,Terrorist attack,5,0.2916394286411639 +533,Terrorist attack,6,0.1713838827878537 +534,Terrorist attack,7,0.2614975260256462 +535,Terrorist attack,8,0.359098598991027 +536,Terrorist attack,9,0.10197853838407137 +537,Terrorist attack,10,0.0869719053447491 +538,Terrorist attack,11,0.10196302646204394 +539,Terrorist attack,12,0.09901628233466207 +540,Terrorist attack,13,0.002875532182095716 +541,Terrorist attack,14,0.002010362598092303 +542,Terrorist attack,15,0.0008197081703671321 +543,Terrorist attack,16,0.001217100924856332 +544,Terrorist 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country,16,0.49126324717705605 +616,World GDP by country,17,0.5322431573131913 +617,World GDP by country,18,0.5028568550010066 +618,World GDP by country,19,0.6500217875240173 +619,World GDP by country,20,0.6315491362621182 +620,World GDP by country,21,0.7275852332381553 +621,World GDP by country,22,0.7531219618476317 +622,World GDP by country,23,0.7774624233450608 +623,World GDP by country,24,0.7893680874648614 +192,Yahoo finance,1,0.29908507191658285 +193,Yahoo finance,2,0.3347507677793473 +194,Yahoo finance,3,0.14326188529591014 +195,Yahoo finance,4,0.17566182006881859 +196,Yahoo finance,5,0.24992241446839616 +197,Yahoo finance,6,0.292249470460213 +198,Yahoo finance,7,0.3132007389531121 +199,Yahoo finance,8,0.3840441242744473 +200,Yahoo finance,9,0.480340779193676 +201,Yahoo finance,10,0.4750195175795302 +202,Yahoo finance,11,0.49524402290324354 +203,Yahoo finance,12,0.5660209157374063 +204,Yahoo finance,13,0.6500988144046367 +205,Yahoo finance,14,0.042787847445578835 +206,Yahoo finance,15,0.035581948044135246 +207,Yahoo finance,16,0.04358600831118159 +208,Yahoo finance,17,0.05840599936229356 +209,Yahoo finance,18,0.11557096573593657 +210,Yahoo finance,19,0.102347939892537 +211,Yahoo finance,20,0.12421306041544754 +212,Yahoo finance,21,0.16636689133195268 +213,Yahoo finance,22,0.210107920168907 +214,Yahoo finance,23,0.2764064458101298 +215,Yahoo finance,24,0.31859393126112506 diff --git a/Copper Google Trend Analysis Weekly /Statistical Testing Results/Table_7_Summary.csv b/Copper Google Trend Analysis Weekly /Statistical Testing Results/Table_7_Summary.csv new file mode 100644 index 0000000000000000000000000000000000000000..a30fe103a8e37da371e3d5879f64ab4bd194ea8a --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Statistical Testing Results/Table_7_Summary.csv @@ -0,0 +1,27 @@ +Series,Min p,Best Lag,p<0.01,p<0.05,p<0.10 +Extreme weather,0.0006772250750413494,7,True,True,True +Terrorist attack,0.0008197081703671321,15,True,True,True +Euro exchange rate,0.0024234948205200976,9,True,True,True +Copper tariff,0.003966605153590163,6,True,True,True +Copper ore reserves,0.004358080698869869,21,True,True,True +Mining sanctions,0.005735471427986908,24,True,True,True +Trade war,0.012138896687902767,9,False,True,True +Scrap copper prices,0.01963677816681799,21,False,True,True +China US trade tensions,0.02629490201442455,1,False,True,True +Yahoo finance,0.035581948044135246,15,False,True,True +Electronics manufacturing,0.03706742005836293,2,False,True,True +Iran Iraq War,0.03937282637555698,6,False,True,True +Middle East conflicts,0.05801213929878935,8,False,False,True +Copper concentrate,0.1173620496559654,15,False,False,False +COVID,0.13248634037927978,23,False,False,False +Currency exchange rates,0.1419918430297246,1,False,False,False +Global GDP growth,0.16939949990243458,16,False,False,False +COVID copper,0.17073272133577047,23,False,False,False +RMB exchange rate,0.2776350820166843,15,False,False,False +Manufacturing PMI,0.3598745882754598,1,False,False,False +Bloomberg,0.3698402737270585,17,False,False,False +5G technology,0.3708997537317965,5,False,False,False +World GDP by country,0.4347337801741724,3,False,False,False +Energy crisis,0.5679643504770043,5,False,False,False +Copper price forecast,0.7506427290877643,6,False,False,False +Electric vehicle demand,0.7906151901384746,2,False,False,False diff --git a/Copper Google Trend Analysis Weekly /Sudden Factors/.DS_Store b/Copper Google Trend Analysis Weekly /Sudden Factors/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..5008ddfcf53c02e82d7eee2e57c38e5672ef89f6 Binary files /dev/null and b/Copper Google Trend Analysis Weekly /Sudden Factors/.DS_Store differ diff --git a/Copper Google Trend Analysis Weekly /Sudden Factors/2008 crisis.csv b/Copper Google Trend Analysis Weekly /Sudden Factors/2008 crisis.csv new file mode 100644 index 0000000000000000000000000000000000000000..f16bc7e972a8f18c7083aea43d2db640f86adf5e --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Sudden Factors/2008 crisis.csv @@ -0,0 +1,263 @@ +Date,Interest +2020-06-28,33 +2020-07-05,33 +2020-07-12,32 +2020-07-19,33 +2020-07-26,33 +2020-08-02,29 +2020-08-09,34 +2020-08-16,34 +2020-08-23,33 +2020-08-30,38 +2020-09-06,38 +2020-09-13,38 +2020-09-20,38 +2020-09-27,38 +2020-10-04,36 +2020-10-11,35 +2020-10-18,35 +2020-10-25,32 +2020-11-01,33 +2020-11-08,34 +2020-11-15,37 +2020-11-22,31 +2020-11-29,39 +2020-12-06,36 +2020-12-13,28 +2020-12-20,21 +2020-12-27,23 +2021-01-03,24 +2021-01-10,27 +2021-01-17,30 +2021-01-24,51 +2021-01-31,44 +2021-02-07,31 +2021-02-14,31 +2021-02-21,33 +2021-02-28,34 +2021-03-07,30 +2021-03-14,33 +2021-03-21,32 +2021-03-28,30 +2021-04-04,35 +2021-04-11,36 +2021-04-18,41 +2021-04-25,39 +2021-05-02,35 +2021-05-09,37 +2021-05-16,35 +2021-05-23,34 +2021-05-30,29 +2021-06-06,30 +2021-06-13,29 +2021-06-20,25 +2021-06-27,23 +2021-07-04,22 +2021-07-11,21 +2021-07-18,24 +2021-07-25,21 +2021-08-01,20 +2021-08-08,20 +2021-08-15,23 +2021-08-22,24 +2021-08-29,34 +2021-09-05,23 +2021-09-12,32 +2021-09-19,39 +2021-09-26,33 +2021-10-03,33 +2021-10-10,33 +2021-10-17,31 +2021-10-24,30 +2021-10-31,34 +2021-11-07,36 +2021-11-14,34 +2021-11-21,31 +2021-11-28,33 +2021-12-05,32 +2021-12-12,29 +2021-12-19,21 +2021-12-26,21 +2022-01-02,30 +2022-01-09,30 +2022-01-16,32 +2022-01-23,39 +2022-01-30,34 +2022-02-06,40 +2022-02-13,43 +2022-02-20,46 +2022-02-27,40 +2022-03-06,52 +2022-03-13,51 +2022-03-20,49 +2022-03-27,50 +2022-04-03,50 +2022-04-10,40 +2022-04-17,49 +2022-04-24,49 +2022-05-01,52 +2022-05-08,52 +2022-05-15,44 +2022-05-22,42 +2022-05-29,36 +2022-06-05,38 +2022-06-12,42 +2022-06-19,35 +2022-06-26,31 +2022-07-03,29 +2022-07-10,29 +2022-07-17,28 +2022-07-24,28 +2022-07-31,26 +2022-08-07,28 +2022-08-14,26 +2022-08-21,27 +2022-08-28,35 +2022-09-04,33 +2022-09-11,35 +2022-09-18,40 +2022-09-25,45 +2022-10-02,48 +2022-10-09,50 +2022-10-16,45 +2022-10-23,45 +2022-10-30,55 +2022-11-06,45 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