diff --git a/Copper Google Trend Analysis Weekly /.DS_Store b/Copper Google Trend Analysis Weekly /.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..73058198e4c51b9f4836f06126e5aa8e8ba3b3a0 Binary files /dev/null and b/Copper Google Trend Analysis Weekly /.DS_Store differ diff --git a/Copper Google Trend Analysis Weekly /Copper Google Trends Analysis Weekly.ipynb b/Copper Google Trend Analysis Weekly /Copper Google Trends Analysis Weekly.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..2634dc6ba30f71cf0df2c8e57c4095c26948ab58 --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Copper Google Trends Analysis Weekly.ipynb @@ -0,0 +1,2969 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "e51c7cf4", + "metadata": {}, + "source": [ + "## 0. Imports and Initial Setup" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "4bef6b22", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/yanzhe0329/Desktop/Copper Google Trend Analysis 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 = 0.01, 0.40, 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
185G technology10.9159
195G technology20.4953
205G technology30.4765
215G technology40.5444
225G technology50.3709
............
157Yahoo finance140.0428
158Yahoo finance150.0356
159Yahoo finance160.0436
160Yahoo finance170.0584
161Yahoo finance180.1156
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\n", + "" + ], + "text/plain": [ + " Series Lag p\n", + "18 5G technology 1 0.9159\n", + "19 5G technology 2 0.4953\n", + "20 5G technology 3 0.4765\n", + "21 5G technology 4 0.5444\n", + "22 5G technology 5 0.3709\n", + ".. ... ... ...\n", + "157 Yahoo finance 14 0.0428\n", + "158 Yahoo finance 15 0.0356\n", + "159 Yahoo finance 16 0.0436\n", + "160 Yahoo finance 17 0.0584\n", + "161 Yahoo finance 18 0.1156\n", + "\n", + "[468 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: 11\n", + "['Iran Iraq War', 'Electronics manufacturing', 'Copper ore reserves', 'Mining sanctions', 'Yahoo finance', '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", + "
Min pBest Lagp<0.01p<0.05p<0.10
Series
Extreme weather0.00077TrueTrueTrue
Terrorist attack0.000815TrueTrueTrue
Euro exchange rate0.00249TrueTrueTrue
Copper tariff0.00406TrueTrueTrue
Mining sanctions0.006114TrueTrueTrue
Copper ore reserves0.009216TrueTrueTrue
Trade war0.01219FalseTrueTrue
China US trade tensions0.02631FalseTrueTrue
Yahoo finance0.035615FalseTrueTrue
Electronics manufacturing0.03712FalseTrueTrue
Iran Iraq War0.03946FalseTrueTrue
Middle East conflicts0.05808FalseFalseTrue
Scrap copper prices0.087218FalseFalseTrue
Copper concentrate0.117415FalseFalseFalse
Currency exchange rates0.14201FalseFalseFalse
Global GDP growth0.169416FalseFalseFalse
RMB exchange rate0.277615FalseFalseFalse
Manufacturing PMI0.35991FalseFalseFalse
Bloomberg0.369817FalseFalseFalse
5G technology0.37095FalseFalseFalse
World GDP by country0.43473FalseFalseFalse
COVID copper0.46997FalseFalseFalse
Energy crisis0.56805FalseFalseFalse
COVID0.662714FalseFalseFalse
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", + "Mining sanctions 0.0061 14 True True True\n", + "Copper ore reserves 0.0092 16 True True True\n", + "Trade war 0.0121 9 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", + "Scrap copper prices 0.0872 18 False False True\n", + "Copper concentrate 0.1174 15 False False False\n", + "Currency exchange rates 0.1420 1 False False False\n", + "Global GDP growth 0.1694 16 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", + "COVID copper 0.4699 7 False False False\n", + "Energy crisis 0.5680 5 False False False\n", + "COVID 0.6627 14 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 51ms/step\n", + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 54ms/step\n", + "WARNING:tensorflow:5 out of the last 5 calls to .one_step_on_data_distributed at 0x15fc0f7e0> 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 110ms/stepWARNING:tensorflow:6 out of the last 6 calls to .one_step_on_data_distributed at 0x15fc0f7e0> 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 79ms/step\n", + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 63ms/step\n", + "\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", + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 45ms/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
RF0.21110.5120.534
ET0.21120.5760.597
AdaBoost0.20100.5230.502
GBDT0.21130.4610.481
XGB0.22140.6280.628
LR0.1731.21151.2015
SVR0.1890.6170.586
MLP0.1782.55161.9216
RF_LR0.1711.12131.1014
ET_LR0.1770.97111.0012
AdaBoost_LR0.1760.99120.9410
GBDT_LR0.1741.15141.0813
XGB_LR0.1750.96100.9411
ET_AdaBoost_GBDT_Xgboost_RF_LR0.1720.9590.929
LSTM0.27150.5550.535
GRU0.31160.5340.523
\n", + "
" + ], + "text/plain": [ + " Without Google Trends p-value ≤ 5% \\\n", + " RMSE No. RMSE No. \n", + "Model \n", + "RF 0.21 11 0.51 2 \n", + "ET 0.21 12 0.57 6 \n", + "AdaBoost 0.20 10 0.52 3 \n", + "GBDT 0.21 13 0.46 1 \n", + "XGB 0.22 14 0.62 8 \n", + "LR 0.17 3 1.21 15 \n", + "SVR 0.18 9 0.61 7 \n", + "MLP 0.17 8 2.55 16 \n", + "RF_LR 0.17 1 1.12 13 \n", + "ET_LR 0.17 7 0.97 11 \n", + "AdaBoost_LR 0.17 6 0.99 12 \n", + "GBDT_LR 0.17 4 1.15 14 \n", + "XGB_LR 0.17 5 0.96 10 \n", + "ET_AdaBoost_GBDT_Xgboost_RF_LR 0.17 2 0.95 9 \n", + "LSTM 0.27 15 0.55 5 \n", + "GRU 0.31 16 0.53 4 \n", + "\n", + " p-value ≤ 10% \n", + " RMSE No. \n", + "Model \n", + "RF 0.53 4 \n", + "ET 0.59 7 \n", + "AdaBoost 0.50 2 \n", + "GBDT 0.48 1 \n", + "XGB 0.62 8 \n", + "LR 1.20 15 \n", + "SVR 0.58 6 \n", + "MLP 1.92 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 0.53 5 \n", + "GRU 0.52 3 " + ] + }, + "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%118.96%29.51%4
ET3.42%1210.49%610.80%7
AdaBoost3.30%109.30%38.74%1
GBDT3.56%138.21%18.98%2
XGB3.62%1411.72%811.72%8
LR2.66%516.04%1516.83%15
SVR2.86%910.89%710.28%6
MLP2.70%728.71%1626.96%16
RF_LR2.66%614.52%1314.62%13
ET_LR2.65%113.04%913.45%9
AdaBoost_LR2.66%413.94%1213.94%10
GBDT_LR2.66%315.68%1415.31%14
XGB_LR2.65%213.93%1113.94%11
ET_AdaBoost_GBDT_Xgboost_RF_LR2.73%813.23%1014.17%12
LSTM4.80%159.58%59.31%3
GRU5.53%169.47%49.55%5
\n", + "
" + ], + "text/plain": [ + " Without Google Trends p-value ≤ 5% \\\n", + " MAPE No. MAPE No. \n", + "Model \n", + "RF 3.39% 11 8.96% 2 \n", + "ET 3.42% 12 10.49% 6 \n", + "AdaBoost 3.30% 10 9.30% 3 \n", + "GBDT 3.56% 13 8.21% 1 \n", + "XGB 3.62% 14 11.72% 8 \n", + "LR 2.66% 5 16.04% 15 \n", + "SVR 2.86% 9 10.89% 7 \n", + "MLP 2.70% 7 28.71% 16 \n", + "RF_LR 2.66% 6 14.52% 13 \n", + "ET_LR 2.65% 1 13.04% 9 \n", + "AdaBoost_LR 2.66% 4 13.94% 12 \n", + "GBDT_LR 2.66% 3 15.68% 14 \n", + "XGB_LR 2.65% 2 13.93% 11 \n", + "ET_AdaBoost_GBDT_Xgboost_RF_LR 2.73% 8 13.23% 10 \n", + "LSTM 4.80% 15 9.58% 5 \n", + "GRU 5.53% 16 9.47% 4 \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 26.96% 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 9.31% 3 \n", + "GRU 9.55% 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
RF0.41140.5240.574
ET0.5010.5070.574
AdaBoost0.39150.4890.527
GBDT0.43130.45120.574
XGB0.32160.07160.0716
LR0.5010.5240.509
SVR0.5010.34130.509
MLP0.5010.5710.4811
RF_LR0.5010.5070.527
ET_LR0.5010.5240.593
AdaBoost_LR0.5010.4890.4512
GBDT_LR0.5010.4890.4313
XGB_LR0.5010.5710.612
ET_AdaBoost_GBDT_Xgboost_RF_LR0.5010.5530.681
LSTM0.5010.30140.3014
GRU0.5010.30140.3014
\n", + "
" + ], + "text/plain": [ + " Without Google Trends p-value ≤ 5% \\\n", + " Dstat No. Dstat No. \n", + "Model \n", + "RF 0.41 14 0.52 4 \n", + "ET 0.50 1 0.50 7 \n", + "AdaBoost 0.39 15 0.48 9 \n", + "GBDT 0.43 13 0.45 12 \n", + "XGB 0.32 16 0.07 16 \n", + "LR 0.50 1 0.52 4 \n", + "SVR 0.50 1 0.34 13 \n", + "MLP 0.50 1 0.57 1 \n", + "RF_LR 0.50 1 0.50 7 \n", + "ET_LR 0.50 1 0.52 4 \n", + "AdaBoost_LR 0.50 1 0.48 9 \n", + "GBDT_LR 0.50 1 0.48 9 \n", + "XGB_LR 0.50 1 0.57 1 \n", + "ET_AdaBoost_GBDT_Xgboost_RF_LR 0.50 1 0.55 3 \n", + "LSTM 0.50 1 0.30 14 \n", + "GRU 0.50 1 0.30 14 \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 0.30 14 \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%9.30%8.74%3.30%
RMSE0.490.520.500.20
AdaBoost_LRDstat0.500.480.450.50
MAPE13.46%13.94%13.94%2.66%
RMSE0.820.990.940.17
ETDstat0.390.500.570.50
MAPE11.79%10.49%10.80%3.42%
RMSE0.630.570.590.21
ET_AdaBoost_GBDT_Xgboost_RF_LRDstat0.410.550.680.50
MAPE11.73%13.23%14.17%2.73%
RMSE0.750.950.920.17
ET_LRDstat0.430.520.590.50
MAPE10.58%13.04%13.45%2.65%
RMSE0.630.971.000.17
GBDTDstat0.410.450.570.43
MAPE8.26%8.21%8.98%3.56%
RMSE0.460.460.480.21
GBDT_LRDstat0.450.480.430.50
MAPE14.96%15.68%15.31%2.66%
RMSE0.961.151.080.17
GRUDstat0.000.300.300.50
MAPE12.27%9.47%9.55%5.53%
RMSE0.680.530.520.31
LRDstat0.430.520.500.50
MAPE11.39%16.04%16.83%2.66%
RMSE0.671.211.200.17
LSTMDstat0.000.300.300.50
MAPE12.77%9.58%9.31%4.80%
RMSE0.780.550.530.27
MLPDstat0.610.570.480.50
MAPE21.05%28.71%26.96%2.70%
RMSE1.732.551.920.17
RFDstat0.570.520.570.41
MAPE10.53%8.96%9.51%3.39%
RMSE0.580.510.530.21
RF_LRDstat0.410.500.520.50
MAPE11.89%14.52%14.62%2.66%
RMSE0.711.121.100.17
SVRDstat0.570.340.500.50
MAPE9.75%10.89%10.28%2.86%
RMSE0.560.610.580.18
XGBDstat0.000.070.070.32
MAPE11.87%11.72%11.72%3.62%
RMSE0.630.620.620.22
XGB_LRDstat0.430.570.610.50
MAPE10.89%13.93%13.94%2.65%
RMSE0.650.960.940.17
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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% 9.30% 8.74% 3.30%\n", + " RMSE 0.49 0.52 0.50 0.20\n", + "AdaBoost_LR Dstat 0.50 0.48 0.45 0.50\n", + " MAPE 13.46% 13.94% 13.94% 2.66%\n", + " RMSE 0.82 0.99 0.94 0.17\n", + "ET Dstat 0.39 0.50 0.57 0.50\n", + " MAPE 11.79% 10.49% 10.80% 3.42%\n", + " RMSE 0.63 0.57 0.59 0.21\n", + "ET_AdaBoost_GBDT_Xgboost_RF_LR Dstat 0.41 0.55 0.68 0.50\n", + " MAPE 11.73% 13.23% 14.17% 2.73%\n", + " RMSE 0.75 0.95 0.92 0.17\n", + "ET_LR Dstat 0.43 0.52 0.59 0.50\n", + " MAPE 10.58% 13.04% 13.45% 2.65%\n", + " RMSE 0.63 0.97 1.00 0.17\n", + "GBDT Dstat 0.41 0.45 0.57 0.43\n", + " MAPE 8.26% 8.21% 8.98% 3.56%\n", + " RMSE 0.46 0.46 0.48 0.21\n", + "GBDT_LR Dstat 0.45 0.48 0.43 0.50\n", + " MAPE 14.96% 15.68% 15.31% 2.66%\n", + " RMSE 0.96 1.15 1.08 0.17\n", + "GRU Dstat 0.00 0.30 0.30 0.50\n", + " MAPE 12.27% 9.47% 9.55% 5.53%\n", + " RMSE 0.68 0.53 0.52 0.31\n", + "LR Dstat 0.43 0.52 0.50 0.50\n", + " MAPE 11.39% 16.04% 16.83% 2.66%\n", + " RMSE 0.67 1.21 1.20 0.17\n", + "LSTM Dstat 0.00 0.30 0.30 0.50\n", + " MAPE 12.77% 9.58% 9.31% 4.80%\n", + " RMSE 0.78 0.55 0.53 0.27\n", + "MLP Dstat 0.61 0.57 0.48 0.50\n", + " MAPE 21.05% 28.71% 26.96% 2.70%\n", + " RMSE 1.73 2.55 1.92 0.17\n", + "RF Dstat 0.57 0.52 0.57 0.41\n", + " MAPE 10.53% 8.96% 9.51% 3.39%\n", + " RMSE 0.58 0.51 0.53 0.21\n", + "RF_LR Dstat 0.41 0.50 0.52 0.50\n", + " MAPE 11.89% 14.52% 14.62% 2.66%\n", + " RMSE 0.71 1.12 1.10 0.17\n", + "SVR Dstat 0.57 0.34 0.50 0.50\n", + " MAPE 9.75% 10.89% 10.28% 2.86%\n", + " RMSE 0.56 0.61 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 0.57 0.61 0.50\n", + " MAPE 10.89% 13.93% 13.94% 2.65%\n", + " RMSE 0.65 0.96 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%-4.55%
ET-22.73%0.00%
ET_AdaBoost_GBDT_Xgboost_RF_LR-18.18%9.09%
ET_LR-13.64%4.55%
GBDT-5.26%5.26%
GBDT_LR-9.09%-4.55%
GRU-100.00%-40.91%
LR-13.64%4.55%
LSTM-100.00%-40.91%
MLP22.73%13.64%
RF38.89%27.78%
RF_LR-18.18%0.00%
SVR13.64%-31.82%
XGB-100.00%-78.57%
XGB_LR-13.64%13.64%
\n", + "
" + ], + "text/plain": [ + "Tier 0.0100 0.0500\n", + "Model \n", + "AdaBoost 0.00% 23.53%\n", + "AdaBoost_LR 0.00% -4.55%\n", + "ET -22.73% 0.00%\n", + "ET_AdaBoost_GBDT_Xgboost_RF_LR -18.18% 9.09%\n", + "ET_LR -13.64% 4.55%\n", + "GBDT -5.26% 5.26%\n", + "GBDT_LR -9.09% -4.55%\n", + "GRU -100.00% -40.91%\n", + "LR -13.64% 4.55%\n", + "LSTM -100.00% -40.91%\n", + "MLP 22.73% 13.64%\n", + "RF 38.89% 27.78%\n", + "RF_LR -18.18% 0.00%\n", + "SVR 13.64% -31.82%\n", + "XGB -100.00% -78.57%\n", + "XGB_LR -13.64% 13.64%" + ] + }, + "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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33lJtNw8Hl/2VZURkltxWOVayfRGzDh48iHXr1pXhyEPlBMv6Zf9kvdIGaZdsqzTI8HYRgu+77z4lQkshKSk4Jd+tOCklM1WO46233ooXX3xRDZEXh6wcZ3H9SvEpObaeog3effdd9d1J4TZZjzi1Rcz/4osvEBcXpwRAOV9EAJe81PJEnKgS2SAubNmWuE+lfSJ8ase3TIvoKeeRZPmKa1yWF1HeFXLMROSUYm6SOSyuV9lHKeQljlWJlRCXqi+cxBJFIOLrRRddpJytIuB/+umnyq187rnnqmWkaNxll12m9ktuishykjXtLlPWm9+AN8ftwQcfVMXWJLv4uuuuU4Xq5FzasGGDurkg37lEoYhbWwrE/fDDD8rdK+e0/HsiD0IIIYQQQsqVIkIIIaSG88YbbxTVqlWrKDMz0+79zz//vKht27ZFYWFhRR06dCj68ssvi55++mmxBtotd+LEiaLQ0NCizz77zOttpqamFj311FNFXbt2LYqMjCwKDw8v6tKlS9Gjjz5alJiYaLfsDz/8UNSzZ0/Vjnr16hVdc801RQcPHrRbZvz48UVRUVFFu3btKjrrrLPUOuPi4lR7CwoKrMvt2bNHtf/VV18tev3114sSEhLUeocMGVK0bt06p3bK+saNG1fUqFGjopCQkKImTZoUjRkzpuinn36yLiPHRda5cuVKr/Z93rx5avnvvvtO7W/Dhg2LIiIiikaPHl20b98+u2WHDh1a1LlzZ5frkXnyMCPf4eOPP17UsmVL1V5p96WXXqr2w8wnn3xS1Lt3b7Xd2rVrq+/hoYceKjp8+HCx7V+/fn3RxRdfrL4L+d7lHJH9OH78eNHatWvVOrt3716UlpZW7DGYOnWq3fuuzi95feeddzqtQ74D+a7l+Ek7mjVrVnTrrbc6nT+ffvppUatWrYqCgoLUumTbxfHff/+p713WKeuWc6tbt25F999/f9HOnTtdfkbOKVm/nGPesGbNmqKrrrpKbUPOQdkPObdWrVplt1xycnLRJZdcos7punXrqn3cuHGj2paceyX9DXh73NLT09X32qZNG7Vc/fr1iwYNGlT02muvFeXm5lqXW7JkiTqXZBlpk2yPEEIIIYSQ8iZA/le+sjAhhBBSuYgDUVykr7zyCm688cYSf14covLZXbt2lVsxruIQN6A4AF0NaTcjDsGWLVvi1VdfVUXGKoP58+dj+PDhytnq64JdhBBCCCGEEOIPMNOWEEJIjUeGYEssgAiZkktaEqTolcQoPPHEE5Um2BJCCCGEEEII8S+YaUsIIcQvePjhh9WjpEge6v79+8ulTYQQQgghhBBCiCvotCWEEEIIIYQQQgghhJAqBDNtCSGEEEIIIYQQQgghpApBpy0hhBBCCCGEEEIIIYRUISjaEkIIIYQQQgghhBBCSBWiWhQiy8/Px3///Ye4uDgEBlJnJoQQQgghhBBCSPWgsLAQSUlJ6NmzJ4KDq4UMQwipAlSLfy1EsO3Xr19lN4MQQgghhBBCCCGkVKxYsQJ9+/at7GYQQqoJ1UK0FYet/gcuPj6+sptDCCGEEEIIIYQQ4hWJiYnKiKa1DUIIqTGirY5EEMG2adOmld0cQgghhBBCCCGEkBLBuEdCSEngvxiEEEIIIYQQQgghhBBShaBoSwghhBBCCCGEEEIIIVUIiraEEEIIIYQQQgghhBBShagWmbaEEEIIIYQQQgghpGQUFBQgLy+vsptBCLEQEhKCoKAgeANFW0IIIYQQQgghhJAaRFFREY4cOYITJ05UdlMIIQ7UqVMHjRo1QkBAADxB0ZYQQgghhBBCCCGkBqEF24YNGyIyMrJYcYgQUjE3UzIzM3H06FH1Oj4+3uPyFG0JIYQQQgghhBBCalAkghZsY2NjK7s5hBATERER6lmEW/mNeopKYCEyQgghhBBCCCGEkBqCzrAVhy0hpOqhf5vF5U1TtCWEEEIIIYQQQgipYTASgZDq/dukaEsIIYQQQgghhBBCCCFVCIq2hBBCCCGEEEIIIYQQUoWgaEsIIYQQQgghhBBCKp3rrrsOF154YaVse+/evWrY+tq1ayt827Nnz1bbPnLkiN378fHxaNGihct2zp07t4JbSSoairaEEEIIIYQQQgghpMqTm5tbadsuKipCfn5+uax78ODBCA4Oxvz5863vbdmyBVlZWUhNTVVCrWbevHkICwvDaaedVqptFVf8ilQdKNoSQgghhBBCCCGEVBEWLlyI8847D40bN1aOyl9++cVJPHzqqaeUCzMiIgIjR47Ejh077JYpLCzEgQMHsGbNGvz3339K9CsoKEB1Y9iwYbjrrrswYcIE1K9fH2effbZ6/4033kDXrl0RFRWFhIQE3HHHHTh16pT1c1999RXq1KmDOXPmoGPHjqhVqxbOOeccJCYmer1tEVDl+P/xxx/o3bu3Ekr//fdf7Nq1CxdccAHi4uLUevv27Yu///7b7rNHjx5V36F8Py1btsSUKVOUY/att95yuS29HrNoK9Mi5oo46/j+gAEDEB4erhy6sozsa2xsLMaMGaPa5+jK/eGHHzB06FD1GWkLqR5QtCWEEEIIIYQQQgipImRkZKB79+54//33Xc5/5ZVX8M477+Cjjz7C8uXLlXApYmZ2drZ1mWPHjqnX7dq1Q5s2bZCeno59+/YhMzff7SM7z17U9cWyvmDSpEkIDQ3F4sWL1T4LgYGB6hhs2rRJzf/nn3/w0EMP2bcpMxOvvfYaJk+erITw/fv344EHHijx9h955BG89NJLyvnarVs3JQ6fe+65Kp5ABHERg0WglfWbYx5ENBdX7E8//YQPPvhACbmeGD58uFpeI9MiWovYan5fRFtZVp8r9913H1atWqXaI8floosuUqK94z7cc889ah+08E2qPsGV3QBCCCGEEEIIIYQQVxw8mIY9e1IxZEhz+AujRo1SD1eIy1bcmk888YRyewpff/21cn2KI/fKK69UTksZVt+kSRPl4BSaNWum3LhnfLLF7XaHt2+AL6/vZ33de+LfyHIQZzX9W9bDD7cOtL4e/PI8HM9wji7Y+9JolJW2bdsqodqMOG814mB97rnncNtttylx1BwDICJv69at1Wtx7D777LMl3r585swzz7S+rlevnhLVNRMnTsT06dPx22+/qW1s375duXNXrFih3LPC559/rhy/nhAh9oUXXlBuYHFRL1iwAA8++KCKZPjwww/VMrt371bisBZtL7nkErt1fPHFF2jQoAE2b96MLl262B2viy++uMT7TioXOm0JIYQQQgghhBDike+2focft/1Y9hXl5wJzHgd224Z7m1my6xhemLUFOfkFWLbsIPr2/RTnnfcdtm07huqOuF3T0tKsj5ycnBKvY8+ePapYlUQiaGJiYtC/f38sXbpUvZZCWuK4jIyMtC4THR2N6opEEzgicQQjRoxQwnTt2rUxduxYpKSkKHetRvZfC7aCCKHFuV1d0adPH7vX4rQVx66IsBJLIMK4OFi101amJZ/W3O4OHTqoZT0xaNAg5SgWJ62IriK89+rVS20/OTlZffcyTyIXJB5BECH+qquuQqtWrdR3rIuWmV2/rvaBVA/otCWEEEIIIYQQQmoIubkFCA0N8uk6T2SfwAvLX1DT57c+H+HB4aVf2b7FwNL3gDWTgUfthSXh6k+Xq+fEHcfx6cPzkJNjOD3vuWc2Zs++FtWZTp062b1++umn8cwzz5RoHSLYCuKsNSOv9TyJRnCcL7mmIiQuuLuXcmK6IjAgwO716idtwnBxy/77sOH8LA8k/sGM5LRKduvtt9+O559/XjlfJWv2xhtvVIXKtFgdEhLidAzEqVzW7Ytg+9dff6noBYmeEBH10ksvLXORNGl3v379VBTC8ePHVVZtUFCQeoigK+/LQzJuRdwVJJahefPm+PTTT1UGssQiiMPWsS2O+0CqBxRtCSGEEEIIIYSQak5ycgZuvnkGZs3ageeeOwMPPVS6yvKuyC6wZaXmF5YxpzSynvEc4ln4/fr7jVbBdujQ5vjmm+o/tFvck+IM1Uhhq4omIiQIkaHeSUHeLlfSZcvK6tWrlTj5+uuvK0ex8OOPPnCBe4lk60pmrWTHauetCMlmV61EGkg7dTzCtm3bcOLEiWLXLbEH33//PVJTU1Wereb0009XLluJTJAYCEGcxbJeEWyHDBmi3hPxmtQcGI9ACCGEEEIIIYRUY+bN24Pu3T/Cr79uQ15eIT79dI1P1x8TFmPnViwTtSwO0IxkoNA+LzUjxyYIF5zKU8+33tobf/45FvXr24b6V1dkGL8MYdeP0oi2jRo1Us9JSUl278trPa9+/fpOhajEYSpCoqP7tDoi7lbJq3333XdVxqsUGtMFyioCydidNm2aiqFYt24drr76arvj3b59e1Wc7NZbb1WF4kS8vemmm5Qj1xvRViIP5syZowqQaWRaMouluJnOs61bty5iY2PxySefYOfOnaoYmxQlIzUHiraEEEIIIYQQQkg1pKCgEE8/PQ8jRnyNxMRT1vczMw3B01cEBdjiFgqL7MXAEpNlcRvKejJT7Gat3pJsnQ4oKMR7743Chx+O9nncQ3WmZcuWSpydO3eu9T3JxxVxcOBAozBYjx49lIhozneVZWrKMHkpAvbGG2/g5ZdfVlEAU6ZMwYsvvlhh25dti2AqkQUST3D22Wer7FkzX375pYorELFVCoDdcsstaNiwYbHrlu9QxHwR2c2ZuJJZLEK15Odq9664jMWVK6KwHId7770Xr776ajnsMaksAopKE+hRwRw8eBAJCQnqjkLTpk0ruzmEEEIIIYQQQkilM3HiAjz1lHNBr3r1IpCS8pDPtpNXmIdekw1R6t8r/7Vz3paYd3oCx3cb07ctBhrZKtz/tXAvLv7fTAQEBeDa/s3xwQejURMoqaYhw+3FOSn07NlTiYTirpTs1mbNmimx8qWXXsKkSZOUiPvkk09i/fr1Kn4hPDwc2dnZSsQVF6bMF9lHiliJYCsFq0jlIEXCJkyYoB7Ev8nOzla/Sfl9ym/WHcy0JYQQQgghhBBCqiGLFtkKeT333HB8++1GbN6cjOzsMubOOnAq1+biLZPvS+IQTpiKj52SIf420TYnLRen1h1T0/EXdoa/smrVKusQeEEPeR8/fjy++uorPPTQQ8jIyFDuTclJlYJVs2fPthN/JCJBilVJ5qlEWogzVIRjQkj1gaItIYQQQgghhBBSDTl8OF09h4UF4bHHhuCXX7ap1yLairha5vxZC9n5tkJk4cGeC4h55ORBwFzI7NRRu9nHjtmG89eEDNvSIgWoPInj8r0+++yz6uEOGTovIq0nFx8hpGpD0ZYQQgghhBBCCKmGHDpkiLZNmkQrIS883LjELyyUolOFCAnxTRZsIYwc2/Cg8LKJtql7bdNxXYDgULvZ6xNPouHlbUWVxIlQ3wjOhFQV9u41nf+EeAFFW0IIIYQQQgghpJohxcZOnDAcsI0b11bPWrTVblufibaW4mOBAWWsZa5F2zYjgWt/dpr978kMRLQ08nJzQ1k3nRDi3/BfQUIIIYQQQgghpJqRmGi4bD2Jtr5CD9XPzM9ETkFO2UXbui1dzk4vMMRhITLK3oVLCCH+BkVbQgghhBBCCCGkmkYjCE2alK9oW1BUYJ1OyUop/YpS9xjPdVs4zZJIh2yTQhEZFVL67RBCSA2A8QiEEEIIIYQQQkg1LULmzmmbk2MTWsuKuSiWWcAtMR3GAFENgJBw4L1+QHg0cNPfataxUzkoMhVOi4igaEsI8W/otCWEEEIIIYQQQqqxaGtz2gaVi9NWZ9o6CrglpuulwLmvAi2GAMe2Acd2WGcdOpFlt2hAEAuREUL8G4q2hBBCCCGEEEJINePQobQKy7RtGdPSpYBbamo1NJ6zTwD5RkbuYUtRNU1BYRnEYUIIqQFQtCWEEEIIIYQQL9iyJRm33/475s7dXdlNIQSHD59yEm3DwspHtA0KDEJMWEzZRNvM48Dh/4CsVCC8DhBkKTR26qh6OpSaabd4WQy9pGYTEBCAX375BdWVYcOGYcKECfBHtm7digEDBiA8PBw9evRAVaRFixZ46623UBWgaEsIIYQQQgghXvDgg3/ho49W45prppVtiDgh1cxpKwQFBJVNtN2zEPhkGDDlMlHdgFpxdqJt78YxODZrD47+vAPtNpzA+EHOxcpIzee6665Toqzj45xzzqkxIvC0adMwceJE+CNPP/00oqKisG3bNsydO7dKiqwrV67ELbfcgqoAC5ERQgghhBBCiBfs2pWqnpOSMpCenovo6LDKbhLxY3SmbUxMGKKiQstVtD106hCOZx9X04UopWibutd4rtvCFpFw8gBwKkm9rF0UgIwNKWo6bkBzhAbTY+aviED75Zdf2r0XFla5/97m5uYiNNTiDi8j9erVg7+ya9cujB49Gs2bN0dVI9fyHTdo0ABVBf4rSAghhBBCCCFecPKkLXPz2DH7odyEVCTi9NairXbZlqdom5JliKlCbHhsGUVbSz6u1Wmb5PSbql8/otRtJdUfEWgbNWpk96hbt67b5Q8cOIDLL78cderUUYLoBRdcgL17LeebhS+++AKdO3dW646Pj8ddd91ldWkKF110kXLc6tfPPPOMGr7/2WefoWXLlmo4v7B//361/lq1aiE6OlptNynJOIfNn5s8ebJaV0xMDK688kqkp6e7jUfIycnBww8/jISEBNW+Nm3a4PPPP1fzUlNTcc011yghMSIiAm3btnUStM3Iuu+++261fjlmcXFx+PTTT5GRkYHrr78etWvXVuv/448/rJ8pKCjAjTfeqPZTttG+fXu8/fbbTg7oCy+8EK+99po6frGxsbjzzjuRl5fn0bEs38lXX31lnb969Wo8++yzalqOlSD73q5dO0RGRqJVq1Z48skn7dYrzJgxA3379lXfQ/369dX3pfd33759uPfee62ubPP3YEbcuPr7Ne/T888/j8aNG6v9duXclXXKeSDblDbKd/Dbb7/ZrVtey/vSvuHDh2PSpEnqcydOnEBZoGhLCCGEEEIIIV5w8qRRMElISaFoSyqPEyeykZVliLJNmkSXu2irIxESaicgNqKsoq1FNKnfFojrCoREqpeztyQhvHlt1OpWH5uiAvDnpiO+aTyxJzfD/SMvuwTLZnm3bDkj4t7ZZ5+txMhFixZh8eLFSlAVt644J4UPP/xQCYwy5H3Dhg1KYBPhUg+FF0QITUxMtL4Wdu7ciZ9//lnFGaxduxaFhYVKsD1+/DgWLFiAv/76C7t378YVV1zh5CYV8fL3339XD1n2pZdecrsP48aNw3fffYd33nkHW7Zswccff6z2QRABc/PmzUpklXmyLyJaekIEQ1lmxYoVSsC9/fbbcdlll2HQoEFYs2YNzjrrLIwdOxaZmcbfMdmvpk2bYurUqWpbTz31FB577DH8+OOPduudN2+e2jd5lm2IGKsFWW+Q4yvC+f3336+mH3jgAfW+fHeyHtm2iMUiMr/55pvWz82cOVMJpueeey7+++8/FavQr18/NU++G2m7CMGyTnmUBFmXRDXIdynflTv+7//+Twn069evV+0QIV3OA2HPnj249NJLlQC8bt063HrrrXj88cfhCxiPQAghhBBCCCHFkJ9fiMxMm/MnJcVBsCCkAtEuW09O25wc34u2OtfWJ6Ltmc8aDxGY8wrw9Y4kxF3ZHhmbU7A9Px8bD6fhrM6Nyt54Ys8Ljd3Pa3sWcM1U2+tX2wB5bm5QNR8MXD/T9vqtrkCmzZFt5ZmTJW6iiGdatNSIiCgPR3744QclOooTUrssRYAVh+f8+fOVQPncc88pofCee+6xfk5cm4IeCi/Li6PXjIi+X3/9tXUZEfZE9BWRTlyxgswXIVLEXr1OaY+IkCJGCiKQijgojk5Htm/frsRRWffIkSPVe+I21Yizt2fPnujTp496bXaKuqN79+544okn1PSjjz6qBGMRcW+++Wb1noiyIv6KAClFwUJCQpQoqRHH7dKlS1W7RKjUiHP3vffeQ1BQEDp06KBiDmS/9HqLQ45vcHCw+m7Nx1q3Ve+fiLnff/89HnroIfWeHDdxK5vbKPsoiLNa2iPH2vH78wbJ15Vzp7joC3HlXnXVVWr6hRdeUAK7iOJyc0BEdnHpvvrqq2q+TG/cuNHl912uTluxFzuGQcsX5QlR6mUZsQh37doVs2bNKmubCSGEEEIIIaRCSUuzuWwFxiOQqiLaNmlS/vEIBUUF6nlv2l5k5JXCPVmQb+TXmkVbE4dPGDdBCnMKUGBxEBcWstifvyLDy8XZan7cdtttLpcVZ6M4YkW0EzFQHiLkZWdnK1fo0aNHcfjwYYwYMaLE7ZDcVXO+qThdRazVgq3QqVMnJfjKPLPwqAVbQeIEpB2ukH0T0XHo0KEu54tLVgRMGeovIuaSJUuKbXe3bt2s07JuiTIQPU4jkQmCuU3vv/8+evfurfZXjuEnn3yiBGMzIk7L+rzZr5Igwvtpp52mRFfZtoi45m2vXbu2VN+fN8hx8Sar2HxMReiVaAy97+LU1YK9RjuBK9xpK1/S33//bVtBsPtVyMkkSvSLL76IMWPG4Ntvv1V2YbFjd+nSpfStJoQQQgghhJBKyrMVGI9AKpNDh4p32vpStJUMXc2O1B3o0dA+K7JY0g4ChflAUBhQO95p9iGLaJufngtYNlVo2ibxIY8ddj/P0Un94E4Pyzp4ACdsgK8QUUzHFxTHqVOnlNg4ZcoUp3kiQAYGBpapHaVBnKtmxPAo7ltXSIasJ0aNGqUyW8UAKW5cES8l6kGyZUuyffN72pGs2ySisLhbX3/9dQwcOFAJzuIaXb58eYn2S16b/60QHLNpHRFHr0QNiItWYi4kA1jaI23x9hi5Qr53b9ri7Xdcku/Ul5RYtBWR1lvLsWRRiFX4wQcfVK8nTpyoTjKxU3/00Uclby0hhBBCCCGEVHKercB4BFIV4xHCwoLK1WlrjkooEaG1gLOeB3JPiZpivJe0GZg6HggOx+HehuBWkJYrG7Bsk6JtuRAaVfnL+pBevXopp2bDhg2V+9EV4nyVYfzi4HUnyEkxruLo2LGjKnomD+22lRxWKTYljtvSOj1F/JPcWx2P4Ep8Hj9+vHoMGTJEaWyeRNuSIjnAknd7xx13WN8Tl3JJkXaaM2V37Nhhzc31ZPYUR7M5A1ZEakeX69y5c1UhNVeIU9bx+5O2HDlyRAm3WqQWx255IHEIjqkC5mzkslDiWw5y0KWqmmRsiBruaJd2VMwdTzpRzuV9T0jlvLS0NOvDXGWPEEIIIYQQQirbact4BOJP8Qhmx1qpRNuo+sCgu4Bhj9jeC4kAjm0Hju3AoVSL0zYtF3pTjEfwX0QTEsHN/Dh27JjLZUWXkrxWKRAmhcgkb1aybP/3v//h4MGD1qhPcW5KDqloWjL6+91333USdWU7qampbtsl+paIrLJNWYdkmkoRMYk20JmzJUW2LWLsDTfcoIqX6fbrImCSP/vrr7+qCIhNmzapvF8Rj31J27ZtsWrVKsyZM0dl7Erxs9KIjmeccYYyaUqxMFmfRFo4OlRdbVt0RXHXilAs39H06dPtlnn66adVoTZ5lhgKyRV++eWX7Y7hwoULcejQIet5MmzYMCQnJ+OVV15R65X4BynmVh5I4bGtW7fi4YcftmYU6wJtWjCuENG2f//+asOzZ89WocVyMonK705UlRNeZ2Vo5LW87wmJUxBLtH6U9o4FIYQQQgghhJRHpi2dtsSf4hF6N+qNqJCo0ou2rqjV0HjOz0LK8RSraKtV24LyH3lMqiiiOUleqvkxePBgl8tGRkYqwa5Zs2a4+OKLlaB54403qkxb7bwVUfStt97CBx98oCI/Jb5TxFuNCLoyKlzcs1L0yx0iwImAKgW5Tj/9dCXiiqFRnL5lQfS1Sy+9VDldpSaUFPbKyMiwukilmJi4TWWbkikrAqevRUc5dldccYXS/VJSUuxct94ix1GOoeiEV199tYpckO/HE+effz7uvfde3HXXXSq3V5y3IhqbGTZsmKqX9dtvv6llRBwWwVzz7LPPYu/evWjdurU1g1jOA/m+RayVomWyvLSnPJDCbT/99BOmTZumvif5PrVzOCwsrEzrDihyDHkoAWIBFxvzG2+8oX4UjsjJNWnSJGuFNUEOmmRVJCUlebyrIg+NqOUi3IoFvWnTpqVtLiGEEEIIIYSUim++WY+xY23unzPOaIm5c8dVapuI/9K//2dYseIQxMSVk/MEQkKMWISVKw+hX7/P1PRdd/XFu++e67NtXvzbxSrP9tOzPsWA+AEl+/DBVUBQCBDbFgg1iTgvNAVy03Ffw88xbX8Ejv2+G1HxtRDRuyGuG9QCz5zfGTUBcXyKmFVRmoYIlmKyEzFJisITQiqW559/XsXCym++LL/REmfampEKee3atVM2bVdI9q2jOCuvi8vEFSXarEZLRAIhhBBCCCGEVBYsREaqEocOGdfIDRtGWQXb8nTaCoGWgbqlKr4z834gcS1w5XdAh3Pt3bbH03Fr79r4dvI+5Bw8hYZ5wLJpVyEytExyBSGEVBhiUO3bty9iY2NVRrAUchP3cFkpfRk9S5U+yYYQq7orpOqc5IKYEcu5vE8IIYQQQggh1QUWIiNVhYKCQhw5csopGsFRtM3JKb6wkrdsT92Obanb1HQhSiHapu4xnuu2sH+/lhGn2CYyA0eXJyL/ZC4a1IlAw9rhqBVG0ZYQUj2QuA3JVZaUgIkTJ+L+++9XWcplpUT/Ckr+w3nnnaciEQ4fPqxCgCVPQ8cfSABzkyZNVCatcM8996hAZsm1GD16tMrdkDDiTz75pMwNJ4QQQgghhJCKgoXISFUhOTkTBQVGymGTJkZmZ3k7bfen2QqQJ9ROKNmHczOA7JPGdExTl7m2WUcPWQuQxcZGlLG1hBBSsbz55pvq4WsCS5rDIgJt+/btcfnllyvb77Jly6xBv1LxLTEx0br8oEGD8O233yqRVoJ/JZhXquF16dLF5ztCCCGEEEIIIRVViEwEsczMvEprD/FfdDSC0LhxrQoRbXXxsV4Ne6F5dPOSfTjP5EoPtW8v6rdDXoMuWHogG2FNjHlBTaLw9K8b8ct/h8recEIIqcaUyGlbXIW6+fPnO7132WWXqQchhBBCCCGE1JR4BJ1rGxkZUyntIf7L4cPp1mnHeISwsPIVbYMCbfm5JRZtg0KBQAff2BmPY27DG3DbN2tQd/gpHPlmKwpjwjBp6T5k5Bbgwp5NfNF8QgiplpQp05YQQgghhBBC/FW0ZUQCqWzRtqLiEbRou/vEbqTn2rbvFfmW306w69iDQyeM6JH8tFz1XCsqxNhmoSUvgRBC/BSKtoQQQgghhBBSwkxbgcXISGVw6JB7p21ISCACAspBtLUUH0vJTsHSw0tL9uF8y+8kJNzl7KPpxm+r4JQRN1IrKtTYpg65JYQQP4WiLSGEkAonL68A1133Cy699Eekpzs7lwghhJDqEo9ASFWKRwgICLC6bcvDaes47RVRDYGR/wcMvtd53rGduHnt5fg79AEU5RvrrV3LEG0ttdYIIcRvKVGmLSGEEOIL5szZhUmT1qnps85qjVtu6V3ZTSKEEEJKVIhMYDwCqfx4BHvRVhDRNisrv+qItrXjgMETXM8LjUL9nP2oExCIgKIC9VatWoxHIIQQgU5bQgghFU5iou1i4+BBWwVkQgghpKrCeARS1eIRJAohNjbSaX55OG1HNBuBRlGN7KISfEJUfRQiAMEBhagXlKHeiq4VZmyH8QiEED+Hoi0hhJAKJz3dKDQhcGgpIYSQqo44/rTTNjDQEhjKv2Gkkp22Eo1gPh8dRducHMO56gtqh9ZG65jWpXPaZqQAh1YDx/c4zwsKQWZQjJqMCzFu5NeubYlHoNPWbzly5AjuvvtutGrVCmFhYUhISMB5552HuXPnVnbTCKlQGI9ACCGkwjl1yibaHj/u7FwihBBCqtrfLW36S0iIxr59J9X0sWN02pKKJScn3xrL4ZhnW55OWyEwILB0ou2uf4BpNwEthwLjf3OaHRTdCEg9gZhjibJXuGJAM5zbqwkiQylX+CN79+7Faaedhjp16uDVV19F165dkZeXhzlz5uDOO+/E1q1bUZUpKipCQUEBgoPLfv7m5uYiNDS0SrWpMtrvz9BpSwghpMIxFx87fpwXvIQQQqpPNELLlnWt03TakoomMfGUdboiRdv1yeux6NAiqwBUIvItfb3gcJezI+rGq+f6BSdQp0446tUOR/PYKDSobcQkEP/ijjvuUAX1VqxYgUsuuQTt2rVD586dcd9992HZsmXW5fbv348LLrgAtWrVQnR0NC6//HIkJSVZ5z/zzDPo0aMHPv74Y+XUjYyMVMucPGncdBOuu+46XHjhhfi///s/NGjQQK3ntttuU2KjprCwEC+++CJatmyJiIgIdO/eHT/99JN1/vz581V7//jjD/Tu3Vs5g//991+X+7ZhwwacccYZaj2xsbG45ZZbcOrUKaf2PP/882jcuDHat2+v3j9w4IBquwjZ9erVU/st4rY73LWpuH1JTU3FNddco46FzG/bti2+/PJL6/zi2uGq/Y899hj69+/v1EbZ9rPPPmt9/dlnn6Fjx44IDw9Hhw4d8MEHH1jnyfdx1113IT4+Xs1v3ry52g9/gLeuCCGEVDiMRyCEEFJdi5A1axajhqRLZAIzbUlVK0ImhIUZl/m5uQXqPHUVoVBSNh7baJ1uU6dNyT6cb/n9hLgWbVErTj01qpWB2NiI0jeSeEVmnvu+d1BgEMKCwrxaVpzX4SYh3t2ykSHOucvuOH78OGbPnq1Ev6ioKKf5IhYKIj5qwXbBggXIz89XLtwrrrhCCZaanTt34scff8SMGTOQlpaGG2+8UYnCU6ZMsS4jkQsiBMrnRIC8/vrrlaAqbRBEHPzmm2/w0UcfKRFz4cKFuPbaa5WwOXToUOt6HnnkEbz22msq0qFuXdvNPU1GRgbOPvtsDBw4ECtXrsTRo0dx0003KTHyq6++smuPiMd//fWXei0uY/25RYsWKbfsc889h3POOQfr16/36GR1bFNx+/Lkk09i8+bNSuytX7++On5ZWVklaodj+/Ux3LVrF1q3NiJWNm3apD7z888/q9fyfTz11FN477330LNnT/z333+4+eab1Tkwfvx4vPPOO/jtt9/Ud9msWTMlHsvDH6BoSwghpJLjEXjBSwghpGpz8qRNtK1bNxz16kWoIep6mDohFcWhQ2leO211nEJEREiZt6sjEUa1GIWuDbqW7MN52mnrWpA9ENQUKcfjkREYifr1I7Hp8EnMWJeIZvUicXX/ZmVuO7Gn/7fOrkfNkCZD8MFIm8Nx2I/DkKWd0g70ieuDL8+xuTDP+fkcpOakOi23YfwGr9smIqE4ucVp6QkRBsW1umfPHuWiFb7++mvlyBVBtG/fvuq97Oxs9X6TJk3U63fffRejR4/G66+/jkaNjMJ6IjZ+8cUXyokrnxf354MPPoiJEycqofKFF17A33//rcRKQQRQca2Kg9cs2srnzjzzTLdt/vbbb63t0YK0iJSS1fvyyy8jLs64eSHzxHWqRVARWUWklvfEPSuI+1UEbBGazzrrLLfbNLcpJyen2H0R97KIpn369FHzW7RoYV3XDz/84FU7HNuvXbWy/yIKa5FW3Ldt2hg3gJ5++mn1nVx88cXqtTiBRTz++OOPlWgr7RKRefDgwWrb4rT1FyjaEkIIqVSnLUVbQggh1SkeISYmTLkBRbDlaBFS0Rw6lF4i0VYiEnwp2mqxplRO22DXcQdPHTsL8yJ7ISVjH4Y2jsTOo6fw0YJdGNgqlqKtn+Ft9MaWLVuUWKsFW6FTp05KQJR5WrQVV6YWbAURK0V43LZtm1W0FUFRBFvzMhJZIE5Oec7MzHQSY2W4voibZrTQ6anNsi2zg1iye3V7tGgrGb5mwXPdunVKzK5d2/73LgKwuFc9YW6TrKO4fbn99ttVJMWaNWuUCCtRB4MGDSpROxzbL0jkggjjItrKd/zdd9+puAvtQJbPiwta3LUacU/HxMRYYxek3RK3IM7eMWPGeBSraxIUbQkhhFRqpq24l/LzCxEczJh1QgghVd9pGxMTrtyA27alqJuQMgQ9NDSoUttH/Id9+07YRXV4I9r6Ai3aHsk4gvTcdNQOdS0Yu0Q7NUNcO22zdBsLi9RvK8gS51BY0uxc4hXLr17uMR7BzPzLbVED7grTaWZfMrvMbRM3pdwYqCrFxnTe7MyZM+3EX0FyYs24inMoDY7rkTZILq050kEjsQbersubfRk1ahT27duHWbNmqXiDESNGqNgJiVjwth2ujsNVV12Fhx9+WInBErcggrhEWZjb9emnnzpl3wYFGedjr169lKtaYhvEKSy5uiNHjrTL462pULQlhBBSqfEIQmpqFho08E1HhxBCCCl/p63NlSVu2/j4EghYhJSBfftsRZSaNzfyPStEtIUh2q45uga/7foN13S8xmdO2+ycAvVcpEVbi5uXom35UJKM2fJa1h1S3EpyU99//33873//cxIAT5yQYnV1VMEqnWuq3bYynF7mi+NWI8PqDx8+rIpiCVLILDAw0FrgSztIRUiUwlt6GcnKlfVKe0TQlPWYoxBKg7RZsmvFWar3a/HixU7tcUQES4kmaNiwocqKLS1yXLzZFxFgJZJAHkOGDFFRESLalqUdTZs2VdsUwVeOtbhmZT2COIzl+9m9e7dy5LojOjpaCb3yuPTSS5XjVjKQ5TuqydDWRAghpFLjEQQWciGEEFJdCpFFRxvxCBr+DSMVyf79hmgrxcXcFSKzz7Q1BFFfOW2FgsISrrP1cOD0h4CWroWi+Kyd+Cf0Piwa/r76benCaQWFFG39ERFsCwoK0K9fP1WoaseOHSpaQIpR6SxWcVnKMHwR+cS9uWLFCowbN04Jg+ZIACkwJuKjCLNSPEuEYHFp6mgEHQ8gQ/NF9BWHqeSrSnEwEVMlCuCBBx7Avffei0mTJqlh/LI9ycaV1yVB2qrbs3HjRsybNw933303xo4da41GcPc5KQomhddkH8RxKhmysi8HDx70evve7IsUA/v1119VDIIUC/v999+V2OyLdsjnv//+e0ydOtVJnP2///s/VaxMvuPt27ervGLJy33jjTfUfHmWSAVxYMt8WYd8h7owXU2GTltCCCGVGo8gMNeWEEJIdYtH0LAYGakMp60ItiEhrmM5wsODyi0eQShCCcXUNiONhxtO5QWiVeARnKwVpn5bgRanbQE1W79EimOJmPj888/j/vvvR2JionJ/ytD8Dz/8UC0jEQoiLoroefrppyuBVZyXIkCakUJXUtzq3HPPVa5MyUL94ANboTVBIgAklkHWI8W6ZCj/M888Y50vBclk+yIqihtUhEJxnT722GMl2i/JzZ0zZw7uuecelbkrryU/VguTnj63cOFCFS8g+5Kenq7iDaTdJXW8FrcvkkX76KOPYu/evcp5LE5bEVp90Q5xx4oYLpEHkpVr5qabblLrf/XVV5WzV5zIIspPmDDBKji/8sorSsCXz8vxE4FdvveaTkCRt0nPlYio9mJNF+u72KoJIYRUb+rUecnuAnjGjKswZky7Sm0TIYQQ4o67756F995bqaaXLbsR8+fvxSOPzFWvf/rpMlxyiW04LiHlRUZGLmrVelFNDx7cDIsWXe9yuXvvnY233jJyS5cuvREDBpT9GvpY1jHc/OfN2HliJ+7tfS9u6HIDfMXZj0/FnJCb1PQvXRchunMcbvhqFbo1jcFvdw1GTaCiNQ0pDiVOyJYtWyp3pz8iwusvv/yCtWvXul1GClxJpIIsR0hF4u1vtObL0oQQQqoUcq/QOR6BLiVCCCHVx2lrn2nL0SKkYqMRhObNXRchE8LCfJ9pWz+iPrrU7+LkuvWK43uA5G1Adprr2fkRKCgy3LWNYnJtTlvGIxBC/BzGIxBCCKlQsrLyUejQCWc8AiGEkOoj2hpDuDWMRyCVU4TMvWhbHoXIhMCAwFKJtoUz7kPgnn/w4ZGbcOWLz6FuXVsmtNDoRAFS60WgflgmGkZlo2GLevjjniGIDHUd/0AIIf4CnbaEEEIqlFOn7F22AkVbQggh1aUQmeG0NRcio2hLKoZ9+05Yp5s1871ou3fvCbzzznIcPOjsiF15ZCWm7ZhWKtH26OHj6nneokTceecs5wUOZ+JomjE8uF54JmqFBaNjfDSax0aVaDuEOMYjeIpGEL766itGI5AqDUVbQgghlVqETODQUkIIIVWZkyez1XNQUAAiIoIZj0CqgNO2js9F28sum4p77pmNceOmO81bfGixdbpTrHOG81dfrUXHju9j8uR1TvNyszLUc1Z+ML77biOmT99iN1/c6scyjRshtYNOed1eQgip6VC0JYQQUqE45tkKdNoSQgipDvEI4rKVquWMRyBVOdO2NKLt0aMZWLXqsJpeuvSgU5RVIQx37bhO43B609OdPv/kk/OwdesxPPbYP07zCnONfl52vtGu226baf3drFx5CNtTM7A9pxHWJjdCUFgEDp/Iwjtzd2DSkr1etZ0QQmoqFG0JIYRUejwCXUqEEEKqg9NW8myFevXM8Qj8G0Yq3mnr63iEZcsO2n3myBF7x2thoSHaBgU458wWFBTi8OF0NS3RChkZ9n29gHzj95OVF2wViO+6axZ++mkzhg79CmGDG+O5Zvfj4bQXgPajkHgyC2/8tR1fLN7jVduJe/T3Rgipnr9NFiIjhBBS6fEIdNoSQgipqhQVFdk5bYXg4EAl4Mr7zLQlFZ1pK07vqKhQr0TbnBzvRNulSw/Yvd69OxWN42sBAQF2TtvUnFRk5GUgKsSWN5ucnGnnzN21KxXdusVZXwcXGb+f8FpR6oaH9Pt++GGTegh1Ldt48P6B6jlQb7PI3u1LvCc0NBSBgYE4fPgwGjRooF7LKAFCSOX3KXJzc5GcnKx+o/Lb9ARFW0IIIRUK4xEIIYRUJ8R1mJ9faOe0FSTXVkRbxiOQiiAvrwCHDqUXG41QWqetRCKY2bXrOAb/3dV4MfIZFIUaAuovO39B3fC6uK/3fdZlHV25O3akWEVbcamHBhptSGgZhxueGIVrrjEKmmlqx4Qh2+Rgt4q2NImWGhGDWrZsicTERCXcEkKqFpGRkWjWrJn6rXqCoi0hhJAqEI/AC15CCCFVE+2yFaKjbaKtuB3FjXjiRLYaHh4UxOQ5Un6IYKvdrJ6KkAlhYUElEm3lpsTKlfbC3p7dKYA2ZmamoCAk0s4pZiYpyV603bnzuG09e05g+soeiAnLQXSzJrjqqi4qFmH69K1q/vPPn4HfA3PRPm0pOv/0GNC0O4JOe1fNK3DI1SUlQxx8Igrl5+ejoKCgsptDCLEQFBSE4OBgr9zvFG0JIYRUejyCuG/FQRIS4pyTRgghhFSFPFtzPIIQG2u4AkW/Sk3NtitORkh5RSMIzZpF+9Rpu2FDEjIz8+zeS9ybCLTUrwJQWGSzvRYU2QuAjk5bs2grNzaeXWDEHjz3XHMlUnzzzcX4+ONV6NkzHsOGtcCvL/yt5oel7QVS6zAewYfI8Q4JCVEPQkj1g7eDCSGEVFo8QlCQ7e4iIxIIIYRUdaetYzyChhEJpLzZv99WhKw4p21JRVvHaAQh+UCi7UV+NsZ3Go9eDXu5cdpm2L3euTPVTrTVtGxZVz1HRobg3nsHKsFWKCgEUotqGwtlHoceLUzRlhDi71C0JYQQUmnxCE2a2JwiFG0JIYRUfaetOR7BcNoKjPkh5c2+fWbRNqbcRduTSUm2F9lpSIhOQJ9GfdRLs+u2OKft3j0paFMvFU1qp6NVS9dic0FhIY5Di7YpCLI4bRmPQAjxdxiPQAghpNLiEeSiQztHKNoSQgipiqSl5biJR7A5bVNS+DeMVFw8QsmctsVnmS5desCahSsFxCTftiDDtj3kpKmnwIBAr+IRDh5MQ1ZWHiIiQnBs/yHsuPtL9f7RVs+43P5D53RAfmYjYL5UXMtAQu0ATLtjEEKKKdBDCCE1Hf4rSAghpNLiEcwXHbzgJYQQUp0KkelMW4HxCKS6Om2TkzOwa5cRYdC7d2N07NhATdcJN9UgyE7DksNL8P3W772KRzDHIiQdTFbPWXnBaNAwymUbrurXDGOHdgUCjXaH551Er2Z10bWp5/0khJCaDkVbQgghlRaP0KKFrTNOpy0hhJDqFY9gdtpStCUVI9pGRYWgXj3bDYPiRNucHM+i7bJltmiEgQObolUr44b6iWzbuY7gMMzcPRMncgz3bbcG3Tw6bXVEQmFhEVKOGFEJeUXFVEqXeZGxxnRmisc2E0KIv8B4BEIIIVXCaUvRlhBCSNUvROY6HoFOW1KeiLNVx0lJ38mj+FlCp605z1ZE28zMPDW9YF8C3oyZrQqGCYWLHlXPD/R5ABe0ucBuHUlJrkXbw4fTEVhk9PvyA0wisAPLdqcgKDAAvRt2RmDtRsjMzcOUhbuVjnvTkFYe208IITUZiraEEEIqLdM2IcFWiIwuJUIIIdXJaWuOR2DEDylPkpMzreJrs2bFRwaUXrRNwN69tixbHZtgzrHVubaa3NwC6/kvmbg5OcZyO3Ycx549qYgIMbZfGGi74eHIVZ8ugyQurHz8ezSoHYaTJ7Pw/If/ICQogKItIcSvYTwCIX6KDGMqKLCv/EpIRcYjREaGoEEDW7YZnbaEEEKqUyEy+3gE/g0jFVWErHjRNizMO9E2P78QK1cesorBjRvXRqtWdZ1yac05tjkFOeqhOXrUlmfbr18TO6etfD482Nh+QKhr0VYiFHREbnCg4SAOtDiJCwrts3MJIcTfoGhLiB/yySerER//Ok4//SvVUSKkMuIRatcOpUuJEEJItS1EZhZtZRg4IVWhCJkQGBiAkJDAYkXbjRuPIiMjzxqNIMTFRakb65+dPwc/97oHeCYG+GwkCgqM/tvba97GM0uecRmN0KlTA9SpE24n2kZYRNugMNvvxUy+6VokKMhetOVlCiHE36FoS4gf8uOPm9TzkiUHsGFDUmU3h/hpPELt2mF2hTTMTttNm47irrtmYcUKw/1BCCGEVI1M2zA7N6OO+dmxg4WTSEU5bW31ALyJSPAk2i5desA6PWCAIdpKXq64beuFZyMi2BB0cXAliiyirTkqwbEIWaNGtdCmTT01LRm8W7emYP/JaLyzvAdyWo922QazmzZs7STg7R6otWii9T0aTAgh/gxFW0L8NBdLs2jR/kptS01DDx0jxccj1KoVqh7aCWIWbW+6aQbef38lRo78GsnJGRXXttxTmLJlCpIyeDODEEKIfaatmP/khqOZdu2MavepqdnMZidVxmnrrWi7YsVh67R22goi2tYJt92sEApMkQjm/q470VYW+eefPdiUXB/3zD4DtUc94rIN+YW2uLZA2UbqHgSl2cTkAvatCSF+DEVbQvwQc4Vjira+Qy7WevT4GD16fITUVA71d0VOTj7y8gqt8Qji5tBuWx2PIFWLtcNWohQmTlxY7Hq3bEnGsmUHsW3bMZWtlpdnc4CUhOeWP4eXVryE62ZfV6rPE0IIqblOWxFsZdi5K9FW2L6dbltSEaKt75y2ZgevRBtoWrd2Fm1vbz4apzc9XU0XFtmE1qQk2811iVZo06au0zWHiLkSueAKk2aLwCjj9xSYddz6HnNtCSH+DEVbQvwMuTNudi4uWrSP7lAf8euv27B+fRLWrUvCzz9vqezmVOk8W0G7lbRoq522cgzNQ+E+/HCVykVzx6efrkanTh9g4MDP0aHD+4iLew1RUS9g4sQFJW7fwoOGQHzwlK2SMiGEEP9GFyIzRyNoKNqSikCiBoTg4EDEx9cqkWibk+P+RvahQ+nWG+lmF7krp23HkDo4vYmzaOvotG3b1vabUOsOzUGf9oFAjm05t07bqPrqOcAk2hbyOoUQ4sdQtCXED0Uz7XQUEhNP2VWGJaXHPLz/4MG0Sm1LVY9GECQaQYiNjbTOy80twJo1iU6VjR97bK7L9Unhl/vv/9PpfTnHn3tukfpsieB1ASGEEDfxCOYiZJq2bY2h4AJFW1JeaEds06bRCAoK9InTVkwbhw4Z/dXGjWvbzTOLtqeKLHEMOWlqhJRnp60tHkFzS+8NmDHsGWDm/S7bEREahEdGdcCDZ7dHgMlpO+Wm/vj25v4I9XJ/CSGkJsJ/AQnx42gEDSMSfFtgS0hMZBXp4o6RuDoEx2JkZtFW591OnboZy5c7u1/vvXeO1b172mkJuPbabmjWzLi4EAF4z56S3ZDoGddTPTetZct1I4QQ4r9I3E5WliF6xcSEF+O0dT8qhJCy9J0kM7kkebaOoq2rUXXSf8rIMAqNNWliFNTTtG4VgxiLaJuUY4iwi5LX4tddv3p02hrxCPaibUSIRTQOcf79CJGhwbhtaGvcObwNEGn8ngIyU3Ba61gMal0fwRRtCSF+DP8FJMTPcFXUSSISiG9dpOJgJsXFI2inrb1ou3q1IdpKbuCLL46wznvwwb/sLjrmzNmJH3/cpKbr14/Er79eicmTL8L48d2ty2zZcqxE7Wtft7161plthBBC/BudZ+suHqFFizpqyLpApy2pKnm2QliYIdpK5JSrkUfaZSs0aWLvtG3eJAJz9zTDikNx2JMaDYTWxqRjK7E+eb2a36NhDyfRVvp1UVGhaNAg0trHE8KDLaJtsGvR1g6LaAspSJZbcYVoCSGkqkLRlhA/g07bihEkza4D4jkewey0lbiDjRuPqumOHevjf//rb3UxyXn6wguLkJGRi6ysPNx55yzr51599UxrzEKHDkYemrB1a8lE2wvaXIAPR36Iy9tfXup9JIQQUvOiEdw5bUNCgtRQckHy182Z7IT4gl27bA7uVq3qlNhp6y4iQfpcGsd4hPDatXHDvBvQ/7NrcNW0McBjB1FUO17Ne+X0V3Bj1xutyyYlnbJGIwgSoWB220YUI9pm5xVg3YET2Hw4DQiJBGLbAPE98PPy7Zi8dC+ycktXXJYQQmoCFG0J8TOSk51F2x07jlNk9AF02pY0HsG+EJmwcOE+qxukV694dTH80ks2t+0TT8xDQsKbOPfcb7FrlxF9MGRIMzt3rYi9pXXa1gqppR4BsK8OTgghxL+LkLlz2gr65mJmZp6dEEaILzAXY3WMHiiLaKuLkLly2gqtWxs3I44dy1K/Ax2JoHNt9Xq1G12KkLlqZ3hwgUfR9mBqFi54fzGu+nSZrBy4ezVw6wI8+Ecinvx1E9JzjAgHQgjxRyjaEuLHTlvdGRMYkeB7py3dNiWPR/jrr93W6d69DUfHhRd2wC239LK+L7lu8+fvVdMyJPXDD0fbXUCY8wVL6rSdf2A+xv4xFm+ufrOEe0YIIaSmxyO4KkQmtGvHYmSk/NA3qYXWrX0g2m6bDez826PTVtAOckGKFmvRNhCB1mntstV5tq5E26hQz5m2BZb+cnCg/Q3zQF30rIQ1ZQkhpCZB0ZYQP860veiiDl5FJMgdfnPuFSneRSpu0ZQUZ1ezv1NcPMKKFYes0+K0FUSQ/fjj87B27a247roe1uJkwv33D0Tnzg3ttiF5aroYmYi2ropvuGPDsQ12z4QQQvwb+3gEz05bgaItKU+nrdlwUSrRNv0I8N0VwDeX4Mgh23odC5Fh2x94v9kd+Pny3zCy1T7E/z0ehScMg8f9C+7HzX/erKbNI/XcOW3r1wn06LTNt6iyUsvAjH5dUIJ+XE2ioKAATz75JFq2bImIiAi0bt0aEydOtOvXyvRTTz2F+Ph4tczIkSOxY8eOSm03IcS3ULQlxI+dthdc0EGNQvIk2i5degBt276LVq3ewZ49tjv9xLMgKTBywrt4BJ1FK2h3spyXPXo0svts9+6N8OWXF2DfvgkqMkFybCdOHO5yOzoi4cSJbCQleV/I4s+9f6rnlGxedBNCCHEsROZadKJoSyrCaStObym86i3h4UHOou2Rjdb30o4aNQRcOm2zUhGBUyqPtn5kFuJOLUNhjs2Zq5223oi2O/M7Az2uBRp29M5pO3ci8HZ3XB34t7EtPx259vLLL+PDDz/Ee++9hy1btqjXr7zyCt59913rMvL6nXfewUcffYTly5cjKioKZ599NrKzbTebCCHVG4q2hPgZkktl7lB16xanptetO2LnJtH88cdO9ZybW4DZs41pUvzQf4G5tt7FI5idtuYLYC3qOhIfXxsPPzwYDzwwSGXeuqLUxcgYZUsIIaSETtu2bSnakpKTk5Ov+teeyMsrwL59J6wuW3McVEmctjk5lu0k9LO+l3nsiHU6Pt4muCqyT6qnE9lhOJlt9NcKCm0RC7Z4hAyX8Qjdu8dZ40TS218DXPg+0GqYR9E2SIu2OWlA6l7EBxi/pUI/ddouWbIEF1xwAUaPHo0WLVrg0ksvxVlnnYUVK1ZYXbZvvfUWnnjiCbVct27d8PXXX+Pw4cP45ZdfKrv5hBAfQdGWED+OR5AsUSniJEh/aMmSA07LHzhgi0XghYj3LlIhMZHFSEoaj+AYjVBaSi3a+ud1ASGEEK8Kkbl22opLMTIyxFrclZDi2LbtGOLiXkPz5m95HJm1b99JFBQUlbgImdt4hPBooF4rNZl70ugfNWwY5XwT3CLaFoZG42SOIb5es+cUTqs3wiunrfxWFi26HpMnX6RusnvCyWkbadwEqRuQbjff3xg0aBDmzp2L7du3q9fr1q3Dv//+i1GjRqnXe/bswZEjR1QkgiYmJgb9+/fH0qVLK63dhBDfQtGWED+NR6hTJ1x10IYMaW6d5yoi4cABo9MmbNtG0bYk8Qh02hbntNXxCL4XbXU8grBlS3KZ1kUIIcR/OXo0o1inrWRvtm1bz1qwSdyRvqAkmeykevHBBytV9IaInlOnbnK73K5dpcuzFcLC3BQiizDWU5RprLtJE+ciZFq0PffiPohu0EBND8jOwC8v56npQrgqRGbv1pXRfNde2w3hRemARCu4qSiW7+i01aIt0muk0zY9PR1paWnWR06OvelD88gjj+DKK69Ehw4dEBISgp49e2LChAm45ppr1HwRbIW4OGPUpEZe63mEkOoPRVtC/IzkZEO01ZlY2mkr/Pvvfo9OW4q2ni+smGlb0kxbw2kr7qTQ0KBydNryvCWEEFI6Vq9OtE47Fr50lWsrhUj37jWGs5eFTZuOIiHhTQwe/IVT/4JU/z7jjBmGe1JYvtxWhNVzEbIyOm3zsoC/ngYOrVbv1QnLcp1naxJt68bHYfKP49V0THgOMk8Z4m9GhtGfO3Ikw6XT1o4vzwVebArsXehydpM6EfjfiLa4doDFSBJp7GffhkX44ro+aBTjfHO/OtOpUyfliNWPF1980eVyP/74I6ZMmYJvv/0Wa9aswaRJk/Daa6+pZ0KI/2D7l5wQUuMR54cUZhIaNIi05oNKZ+3w4XQnUVY6lWanrVyESP6W+c49McjMzFMRE2botPUuHkHy2SQiwSxyl1W0laF+4iaX870kTtsWMS2w4dgGtKnTpkzbJ4QQUjP6TWvWGKJtq1Z1PRaBcixGZs65LQ3ffLMehw6lq8fkyetw++19y7Q+UnWQ2KY9e054JdrqImQ+iUc4ugVY/JZ6vb/rU1j63v5inbYIj0H9JkZh2GW1QlG3vxGllnTU6LOZ+27S93JJviUXOth1vEhCvUjcd2Y72xsWp22donSc0cHeRVoT2Lx5M5o0aWJ9HRbm2sH/4IMPWt22QteuXbFv3z4l8o4fPx6NGhnfS1JSEuLjbf1med2jR49y3w9CSMVApy0hfkRKiq0ImfnCo2XLOtYhgBkZNlHt+PEsZGWZig4UFtl1Hon7ImQCM229i0dwjEiQC2MRXMuCCME6IkHc4t66lJpFG87zC9tcWKbtE0IIqf5s2pRs7Qf162cTWbwRbcuK2cH45Zdry7w+UnX4/Xeby1a7aaXP7Qpzv7uk8QhOou2RDcaLVsOxLnQMtqUYInCTJtHOH67bAmjcE4huCoTWAgIC8XpsPUQPOoCC7CAkrqql1qnjEaTfZt6eHXmeRVsnLKItMmvmSKnatWsjOjra+nAn2mZmZiIw0F6uCQoKQqElZqJly5ZKuJXcW43ELSxfvhwDBw4s570ghFQUFG0J8cM8W2fR1tYJNA/p27/f5rI1F04gxRchE+i0dX+cpGMfHGz7E2QuRlZWl62riARvL6DHdhyLN4e9iWEJriscE0II8R+WLz9one7fv2JFW3OW7sqVh7Fx49Eyr5NUDX7/fYfTeytWHPIYjxAWFuRaXC2NaNuoqxphp3EZj3D288At84F2Z0loM/DkMRTGGqOQ9r0xGPu+6opff91qddq6jUYQ8rM8irbp2XnYeTQdh05YlousD9RphtSwxpi6cj+Omwwl/sR5552H559/HjNnzsTevXsxffp0vPHGG7jooousBgXJuH3uuefw22+/YcOGDRg3bhwaN26MCy+k+YCQmgJFW0L8iORk2wWAjkcwO211AQ1Xeba+vBCpibhyctJp6/446WgETWys7Xzs3dtZtP1i4xd4ZNEjWJO0plyLkbWMaYmE2gkoKPJNERlCCCHVF7OQVhKn7Y4dthxSX4i2wpdf/lfmdZLKJzU1C4sX7/d4g8A8wk33y2UUkhS884loG90YIYeWoF+TRPfxCI4EBqGwyFJIrNBox3vvrURGhlGYLC7OTTSCkG8xNoS4Fm0X70zByDcW4p7vLOd4dDwwYQPGZD6NB3/egP3HbaYTf+Ldd9/FpZdeijvuuAMdO3bEAw88gFtvvRUTJ060LvPQQw/h7rvvxi233IK+ffvi1KlTmD17NsLDyzZijRBSdaBoS4gf4d5paxNtzRlb5jxbDYuReR+PIB1ZFg9xfZx0ETJX8QiunLYrjqzAzN0zcSDdyFIreTEy7xzi65LX4dIZl+KBBQ94vR1CCCE1E501KiNDevY08iPdISNG9KgRXztthW++2aAydkn1Zs6cXSgoMIogXHhhB4+5tuKGVWJrKfJsHUXbnOxcIGmj8SLjGG4IfBIvnPGve6etC7Ro26hRbacCxm6dtlLwQQqgCcGuC4oVFBrHI8hBlNav9Xx/Q2IU3nrrLZVjm5WVhV27dilXbWiorQ8tbttnn30WR44cQXZ2Nv7++2+0a2fKByaEVHso2hLip6JtgwZRLuMR9uyh09ZX8QgC3bauj5M5z1a4+OKO6qJYnEpDhhi5smYWH1qsnucdmFcq0XbLFu9E27VHjdzA/WnOLpiawl/7/sKmlE2V3QxCCKnyf682bzZGaXTrFoeIiJBiP6PdttJ/kgKlpUUKwTqKtvJ61iznYfWk+ubZ3n13P6uJQlzd8r2b2bXreKnzbB1F24jsg0DuKSAoDEjop96LjTSyZp1iFyQz9eWWwFvdgExLG+a/hMJTR9Rk5E0z0PrZv+w+4tZpWyC/A8t+BbvObs23ZLS6E20LHSv9EkKIH0HRlhA/IjnZtdNWhly5dtraRFs9JItOW9eYHbXmrFbm2toQh1BOToHLeIRzz22LxMT7sWnTHR4vjAsKvXcZyc2I0NCgEjltJ2+erJ5zClyL8NUdEWvvm38frvzdqERMCCHENatXJyqToNCvX2OvPmOOSNBZpKXtU2iHZVSU7W8iC5JVb/LzC/HHHzvVdHR0mLpJrbOSpViwY7Ff+yJkZXPa1s3ZZUzEdQKijJva9SKyVT/JPNpJkZsOZB0HTuwDQizXC4fWoDA/23ZdEGrfH3PvtC0Eul0JdLrQti4HtChrJ9r+cgemZNyKIYHr/dZpSwghAkVbQvzWaWvrOEmWVUhIoMd4hD59GlvX4a7CrT9jjkcwi+B02roWth3jEfSNBLPg7ZISxLnJutq2rWfNF5SLJX9nz8k9ld0EQgipFpgzRovLs9W0a1fPJyOTzC7b0aPbWYevz5y5A0lJVftmsLT95EmbuEdsLFt20NqHPvvs1ggJCbIrcOeYa2sW/ksTjyDFyzRrsvuonFic9w4QYfRTYyOy1LklQ+ztyD5pKxymc2jDo2HuRUVE2tbtUbSVz1/8MXD5JCDYue8n5FviIoLNom3aYTQuOoL6OKmyfQkhxF+haEuIH+HOaRsUFIhmzWKs8Qh6eNb+/UanTTLaevWyZbkxIsFzPILZaaOr6hJ7YdsxHqG80BEJubkFdtEfhBBCiCdWrDhsne7fv6lXnzH//fd2hEdxom18fC2MG9dNTcvNx2++WY+qigzxj49/HS1avK0ESuI+GmHMmHZO55Zjrq2907Zs8QjZ2QVAnWZAfDdkBxp9/qjQfLRo6qJglRZtw43lFGHReCQlFVfUaqte1oq2HxUVF+dGtPUCW6atSZqIMOptxARkoIDxCIQQP4aiLSF+hLtMW3OurQhr4gIoKCjEoUOGSzQhIRrt29vyQbdtK/2FiD+4SLW7U2A8gvdO2/KgY8eSFyOryUS4KQJCCCHEWYDUf6/at7eJsZ7o3LmhdXr9+iSfiLYNG0bh+ut7Wl9/9dU6VFV++WWrckWeOJGN8877rkwRETVZtBVj66hRbZxc3Pqc0+jjFxQUgObNbUWDSyfaGnEbQuJxEUoNV2vbhEDvRNvwaJyZmYWLQoxzPCIiyC7qyq3TVmKtpBCZB+E13yramhtvEW2RwXgEQohfQ9GWED8iOdm4CJAoBEfRrGVLW2dQIhKSkjKsw8kTEmLs3CPMtfXsIqVoW7wb2THTtrwwFyOjaAu0q2s4eyKDXefKEUIIAQ4fTsfBg2nWeCgZkeQNIu5GRBhC2dq1RtEmX4i20gfr1Stevd648Siyskpf5Kw8MUc3iFHgnHO+sfY9/R2JHNu0yShsN2BAU6t5ok6dcOtNgf/+O4KcHENclVFvuhCZjIbTGf2lEW3rRWTh5pi3gYWvKvH00OEMHM8yHLat44u8dtoKAXmGAaQooAhjxxoO8MjIEPdO4KSNwPONgDc6um1nx/ho3DykJUZ2jHNy2l7QIRKd4h0KpRFCiB9hu/1GCPEbp610FB3zq+xF21TltNUYTlubaMt4BM8uUrPAzUxbd/EIJRNtG0Y0xNGso7iqw1WlFm23bCletK0bXhfpeenoWM/9xUV1pmmtplg/br1zfh0hhBCXjkdz5mhxiLjbtWuc+rxkqcvNytLEATmKtkLTptFYsyZRTZ88meOxaGdlcfSobUSXHt4vjtt//hmvhD1/Zu/eE27PKYlIEEOERDmtW5ek3Lcy6k2+59IWITOLtj0aJaNfrVXA2uPA6Q+qmxJT5g9S5tculzf12mm7MCIcm7ONc7CwqBCvvnqmytod0j0EMaGS1esiaiHfcsM+2P3voHfzuuph33jjuqRVVB4Q7WK9hBDiJ9BpS4ifIHfsdaatOc/WMR5BO20PHDAcJlq0lWFZulgZnbaeBUlxJuviD8y0de20LelFbN/4vujVsBdiw70boqoxx3rIBXRx1I8wlr+5282oiYhYS8GWEEJ8X4RM07NnozJHJLgSbcWRqZH4gaqIbrf8mdHF0ySn9YYbfoW/Yy7i69gPd1WMzL4IWcnzbO1F26PGG426qqdDh9Lw0aru+Hh1d9RrmuD8wdBaQOOeQP32tvfCYvBww/p4P/8IGkQ0QI8GPRC18k3cl3YO+i4aAaz9znUjJBpBKGk8k8Vpi2yb2E0IIf4IRVtC/MgJKnfw3Yu29k5bXYRMD8sKDg60Vq7dsSOFlVw9CpKh1mwvxiO4diOXNB7hpSEvYdKoSWhfz3QB4QWynQYNjPPdm0Jkt3a7Fc8Pfh6dYzujJvLf0f9wzs/n4I6/76jsphBCSJUhLS0Hq1cfRmZmnlMRspKKtj162ERbGe5eVseqTbQNq/KircQjjG67GyM7ncCsWVdbR9X88MMmu36lP5KSYhNtY2Pt++Hmc0wXI7MvQlZGp21csp1oK05bjRbX7eh0PnDLfOCcF2zvdb4IhSLmAph0ziS8OfxNYOdftvlbZ7puhBdO25NZeTiYmomTlt+folYcsmsl4EBOFBJP2o4dIYT4GxRtCfHLImTeOG1P2jlHza7FnJwCv+98ey6yFYb4+NrW467Fcn+nLPEIM3fPxDNLnsH8A/NLvF19bstFis6K8+ToFfdIfqHn5aorx7KO4dCpQ1h0aJFy3xNCiL8j+f3Dh09Cnz6fon79V3Dhhd9b4xGaNKmNJk2iSy3aljbXtjo6beVvSnTeAfx+9S/489Iv0L17IzzwwCDr/DlzdsKfMTtt69Wzd5126xZnHaG1dOlBdU7aO23LJtp2b2QRbeO00zYdCdFpGNZiP1rUtswrjqBgFMHoN6gRO9KHOGYUVlPsXwJkuBiJl2/Z7xD3Tttvlu3D4Jfn4cU/ttjebD8K42p9iiHbLsGafXTbEkL8F4q2hPgJOhrBndNWhFydN+YqHkFo187Wady2jUWdXAmS0o+V4xgfX8tlYQ5/pizxCOIQ/XnHz9icsrnE29Uucrm+2LfP882GxFOJGD19NC7//XLURHIKbN9BQRFvJhBCyIIFe61ZsVlZ+fj1123WG7ElddlqAS4wMMAnoq0UNYuKCnESbVNTq57zMCMjD82iTH3Dgjycc04b68s5c3bBn0lJsfXDY2PtBUwpMqYLze3enYpu3T7EjBk2QdRtkS9Nbibw3zfAPJMzVsytwYEICixEu1iLa7dhB+tN7HsHrsG88T+hcZL30RUFhUa/ISggCMhItmTfBgD12wFFhcD22aVy2uYXGGKw/t1oAi1KRQFvMhNC/BiKtoT4CcU5beWuuRa3pFiCFrdEhNQuE3M+KIuRuRYko6JCVadTxyMIzLUtezzCD9t+UM/bU02uDi9xjP7wxOqk1eo5I69mVrs2u2uliAghhPg7P/64ye3fpiFDmpV4fXLjVhck3bDhKPLyCkot2orLVueQV3WnrdygFoHQStYJ9O4db3WV/v33buUg9Vc8OW2F66/vYVc4ddUqW0RHq1bFiLZJG4Ff7wQWvGzndpVzp13DTIQHFyC7IBiISbA6bY9nGedTaL7NpGFl2q3AW92ATdNt72WlorDQiC846+ezcNbvlxnv120OdLnEmN42q1SZtgWFxnkR7CDaBlleM5KNEOLPULQlxE9ITs7w6LQ1DyOX4fy6eIaIj+IAENq3txWBYjEy14KkHvZvdtoy17bs8QiOLo+S4Bj94YlXV74Kf4FOW0KIvyMi4s8/b7GKrYcP34clS27Ao48OVo9bbuldqvXqYmTSn9q6tWQjkwoKCq032nU0glC3bkSVFm1FaK4bbhvNgazjCAoKxJlntlIvT57MsSvw5m94yrQVbr65NxYtuh6DBtkXBpN+uBgCPDLrQdOGdtjNalU/A7kFgdibFgsEBqmbt1KILCXTchMgy0WR1rRDwIl9gLnPFRCIItPN3hO5FrFXXLYdRhvTO+carl8zMU2BDmOAhL5um6+dtFqkVeRmYmLSXVgQOsEWsUAIIX4IRVtC/NJpa7sIcOdI1DmsOs9W0M4RLdpK5/v223/HwIGfY+bMkjsga6IgqYf960xbITHRVvDBnylLPEJZMDtUZNghMaDTlhDi78ybt8cqpo0Z0079bRo4MAEvvDBCPYoVy8qhGJm0RzsLzaJtVXfaimi79GA8Vh2Ow7aA/kBUA/U+IxK8c9oKgwc3w7//Xo/ffrsSnTsbx++667p7XrHKljUJteacWQBrUloj8vn/4eo/xlrFc4kB0U5bcUQ7kW15L9x2XYDQ2iiwuL7t+hAi2sZ1Aeo0M8TV3fPs19VmBHDlFGDI/W53Id9yvts5bYPD0SJvF5oHHkVQDutoEEL8FyOdnBACf8+0dRRtHfNs9efq1g1Hamq2GuYmD82TT87D6NHt4I+Ia0ELknpoJZ22zpw6lVfqeISyYB+PwGIWGjptCSH+jjka4fLLO/lsvY7FyMaNK0Z4K6YIWXUQbZOSMrA9pR76fnoNPv30PLSPNOognHVWazvR9tlnh8Mf0TcHZPSazil2hUQanHdee3UTQQwX7owWVtIOA+ZIJwfRVoqRFRQF4uAJ4/wRl61gFW0zXThtVVatfDjGLmD2yROZOII8fFonBgVSlEyybeu3NbLUhj4CBAYDzU9DSSlwlWkbGIjMwCjUKkxHcC5FW0KI/0KnLSF+QnGZto7DyF2JttKRNOfamvHn3NacnAJrh1MP+zdn2lZnp+2OHSl4+ul52LTpqI+dthUn2jZrFmO9ECgu09Zd/mtNoXaozQFeaMmQI4QQf0SyZqdN26qmRUQbNaptuYm2JcE70dYUQ1BFcNfuxo1ro2vXhmp65cpDdv1Rf3TaistW5xR7QpYpVrB1IdLauW4toq2QnZ1vLUImpGRZ3L5Zqd6JtnJjoyAMV6YZ/f2igEDg8SNAtyuMmT2vAbpfAUQ4GECkr1FMf8ql01b05ECjzxKsoxgIIcQPKZNo+9JLL6k/KBMmTHC7zFdffaWWMT/Cw22dDkJIxWDuJJfMaWvfYdPZZLpAhxaAZbiVv+Jq2L85HuHIkepb1Gr8+F/w7LMLcfXV00p8Mfzmm0txxhmT8MMPG11k2lZcPEJISBCaNo0usdO2JsYHDG061DpNpy0hxJ+ZO3ePVUgTZ6Nk2voKES1FrNTxCCW5CVh9nbanMKDpYdzYcwM65c0FkrdZ5+mIBDkM5lFa/kRKitEPj42N8PGKdxrPYdEuRdwvh3+ByRfNQnRQmrUImWCLRzjuLLJmp7kUbWUbgZZzWfWRgkOBkGL258/HgWfrAf8873aRvi3q4Zr+zdC9qf11SES0EcvWpV7N648RQki5xyOsXLkSH3/8Mbp161bsstHR0di2zfaH25u7i4SQyohHqOvSpWjmmWeGYdiwFmjePAatW9fDoEGfq3VnZuYpoU4EMn8tQmYe9m9UfDYuUKqr0zYtLQfLlhlFQzZuPKoKtgQHF3+vb8GCvbjzzlnYtClZvV60aL9yaOvjFBISaC1uV1L+1+t/pfqc3JDYv/+kukCX/YqOdi0ahwSFAHlAjwa2Ks41Cfn7u/zq5QgMCERYUMUJ54QQ4i/RCOZiZOJqFIFV/v40b+58Y7wkoq383dL9iqoo2h49molXRi7CkOaHgA1/AXXuB0Y8peadfXZrvPrqEmtEwpVXdoE/kZWVp3JkPeXZlhot0rY/F1j/PZC6F8jPAYLDVPRB/wY70b8BcOvvZ6qs5M2bjb5Z0qlIbGt6O9p3b2sItYGW/l2u9FmLnERbKQS7IiIMJyMMsbdI/isqsr+uP3EA2PgzEFUf6Hmt8V5eFiACb6D7ft/obvHq4UjtOvWB40B8qP8aQwghpFRO21OnTuGaaySv6FPUress8jgi/5g3atTI+oiLiyvNZgkhPnDaxsSEuRVW5YLAsTNpjkcQZJj5GWe0VIKtsT6b80PEMH/E3kFqiLYibuqLreqaabtq1WHriDbp6IuLxhMiiF577TQMGzbJKtgKIvbeeONvSE3NKrXLtlv9buhYryPqhRvnXUkx35DwFJEQEmg4rR7p9wiCPFxgVGciQyIRHhzOG6iEEL9Fiq1On77VerPVl9EIZS1G5k60lf6XvuFYNUXbDNSPtBXbMg+7lwJb2sk8Z87OGhk/5G0RsthY18aJMou2LQYDY6cDEzYAQaF2UQn7T9ZGZl4IcnLysW5dknovKz8Etc99HOh7o02wFfJzgcY9gfrtgRBbHz+nIAe3BB3Hgw3ro3VAOLoVBqNw4Sv2bRHB9u+ngT2LTOuzXBuIiFxSdNSCLoxGCCF+SKlE2zvvvBOjR4/GyJEjvRZ5mzdvjoSEBFxwwQXYtMl2Z5sQUjEkJ2d4dNm6i0hwjEdwRERgjb9GJJjjEcwFtnREguT96krQ1QntstXoIXWu2LIlGf36fYopUzZY3+vTpzE6dDAykNesScS+fSdLnWc7ZfQU/Hjej4iNMIbKlZRWrWzn9e7d7kXbCb0n4MkBTyK+lrPjoybw594/cdGvF+HlFS9XdlMIIaTSkCH6Wvi84IL21txPX1LaXFt3oq05IqEqirZyY9edaBsWFqxGaekb2Rs2lD0nv7qKtvXq+TgmsO9NwJD7gYT+QOszgJimRmEwk6C79Vg9a67tunVHrNcD5qK5Vmo1AG6ZD9y1wu5tcdZqvm96Iabs242gE/vtPxvd2HhOP2x7L99yrga7dxinZ+fheEYusvPsY5tSghogK6opjufwJjMhxH8psWj7/fffY82aNXjxxRe9Wr59+/b44osv8Ouvv+Kbb75RhU8GDRqEgwftxQAzOTk5SEtLsz7S06vn0GJCqgridExNNTpNxRU1aNXK5kgUt2hcXFQJRNuqdxFR0fEIZkFSFyOT46+zzKoTy5cfsnutKw47MmvWDgwY8Dl27TIu0OrWDcdHH43GsmU3YtKkC+2rATsI296yInGFEhp/3/07yu60de/YGN1yNIYnDEduQW6NzLQ9kXMCO0/sxDdbvsGxrGOV3RxCCKkC0Qidy2UbEo9gFm3l5q1kvF922VT8/PPmMou2Vc2teiw5HfUiTP3ATPus1HPOaW2dFretP5GSUo5O247nGTEUDdo5z7OKtkYfaO/eE0hKMs6v7t3jECB5uHsWAhnF9wfMOfhBOke3vsM2a1vO+bREF6Kte6ftk79sRK+Jf2Hy0n127z+Xdw06pryCnwPOKrZ9hBBSUymRaHvgwAHcc889mDJlitfFxAYOHIhx48ahR48eGDp0KKZNm4YGDRqoPFx3iCAcExNjfXTq5PucKUL8CbNgWBKnrRRvCgry/M+EOR7Bf522rgtsNWsW7ZW7syoiF4PeOG2l2NiYMd9aozHkImDt2ttw66191LnTr18TTJjQ3+4zpYlH2JSySQmNSw4ZmXglxXxee4pHyC/KxxlTz8CZP52JdJXrVrMwX3Rl5FXfAnmEEFLW+B8hLCwIZ51lExN9idws1Ddy//13P3r0+AhXXvkzfvppsyruaRZnzZjfd+yzadFW4h10RmpVQG5OF2ScQFBgkUunrXD22UYxMuHPP3f7sdPWx5m2ZpI2A/88Byz/xC4eQTttzTfjlRP81zuBSecB+xYXu2rzTYKAFGO9iHWIFamtnbYuRFsPBcvyLaPRghxu8gdaHMMFVewGBSGEVFnRdvXq1Th69Ch69eqF4OBg9ViwYAHeeecdNV1QUHwl6pCQEPTs2RM7d7q/w/roo4/i5MmT1sfmze7vRhNCvM+zFRo0iPTakeiYZ+sKczXj8nTayrC7Bx/8EzNn2lfFrcrxCJ07N7ROSyGv6oREGTheUDo6beWi9777/rTm3l5ySUcsXnyDU/G6iRPPsHNwlzQeQXLU3lj9hppOz0svV6ftmqQ1LgXOmoLZPSxFRQghxB+R2CKhcePa5RKNIMgoEx2RIE5LcySAiK6ffrra5ef0314ZteJYtLNuXZvwVZUiEiSCyy4awYVo27ZtPTRpYsRGrVhxqFrGRvnCPBEb60PRVkTZXfOAU5Zz6/guYOGrwLrvXMYjmG/Gy012RNRz/q4kl/atbsDM+932H0aFpODMhMbIrJPg2mmbewrIsfTX8op32hZaOpLBQfairfaN6PmEEOKPlEi0HTFiBDZs2IC1a9daH3369FFFyWQ6KKj4oi0i7Mo64uPd5wWGhYUhOjra+qhd2/gDTwgpHcnJpXPaFpdnW5GZtg899Ddee20pLr10qp1joSrHI3TpUn1F2+XLnSNsDh+2L0QmziHNXXf1xY8/XoaoKGdBVoqPfPbZedbXTZoUfzPAjJ24WMp+u0RViKOqONF2wrwJ1umaGI9gPpY1UZQmhJDiEMFUD1fXMUblhTkiQejdO94aN/rhh6uUQ9WdaOsYjeB4o7wqibbS5gbFiLZS/LJv3yZqWkbn7NiRAn+h3Jy2638AJl8IzHvePq5AxFz5ex8UgoKiQKtoK2K5Rt1QiKjrHGUhAvCJfU7xFuY+w5HgYPUoiDG+TythtYCwaPuIhCa9gFbDbS5cF+QXuHbatspcj99CH8eZmx7x9ogQQoh/i7Yinnbp0sXuERUVhdjYWDUtSBSCOGU1zz77LP7880/s3r1bZeFee+212LdvH2666Sbf7w0hpMxOW+lQ6+rEw4cbRSO8j0conwuIgoJC/P77dmsRhfXrjcq3VT0ewSzaVreiG47RCK6ctuaYAckEdMyuNTN8eEuVb3vddT3w1FOnl6gtvhAXpW0tWtSxtttdFqB5W8WJtpINN2zYV7j99t+rXLagO0qyf4QQUhMxjyIpb9H29tv7qoKcAwc2xYwZV2Hlyptx3nntrZFDv/661W75rKw8a5/CtWgbViVFW8lJ3XMiGrfPHIEZBTcCZ78InPuajKm3W65vX5twt3KlqVhVDafcMm0tTlqrWFu3JRAQBEi8k4ivdy7Hw2mTkXjKOJe2bDGya8XBrQrFRrpw2mYbRWMRbm/ccNXPKQx0YdjSbltdjOzs54FxvwDN7KOyzBRYXNfBDv3IYBSgW+Ae1DvlXxnIhBBSpkJkxbF//34kJtpybFJTU3HzzTejY8eOOPfcc1VhsSVLljCnlpBKEm2Lc9qKA2Dt2lvxzz/jcMMNPauE0/a//47YuRQ2b05GdYhHkAsuLZJXJaft1q3HMHXqJiWGu8OcexYSEugy03bv3pMu4wfcMW5cd3z55QVeLWvGV+KijmiQHEBdiMPTtorb7rvvLseCBfvw0Uerq83Fp1m0pdOWEOLP0QgVIdqKMLZly51YsuRGjBnTTrlNZWSK5r33VrodGVXdnLaH02vjo1XdsafBFcDAO4AeV4m91m65Pn0aO+UK+wPl5rS1ZNZaRdvgUKBeSztBN0TVobH/Hjp1aoCQkCAgoo6zaJth6WPreRaiQqLwYPMxeCAl1XM/6YIPgFsXAU37eb0bOtNWZ9hqcoMN125YvutCuIQQ4g+UWbSdP38+3nrrLbvXX331lfX1m2++qZy1OTk5OHLkCGbOnKkybQkhFYc4AjXx8cXHjYioJs5IT85JV07b8rqA+OuvXXavN22qOgKop3gEs9tWRELJfKtsUlOzcPrpX+Lyy3/Cgw/+5Xbo6Jo1idYMOu1QdXTa6vNKRN34+PK78PWVuOhNMbKSiJpbt9qGdlaXYZ5y0aWh05YQ4o9UpGjrihEjWqF9+1g1PX/+XrubumYXcHUTbT2125VoW11udvreaesj0VbiD1IsDtT6poJg1ogEQ7R1ldmss5ZdZtoetNxIaNTV7jORIZEY12IMxqele+4nJfQF4rsBod47it1l2uaEGKJteH7NKwxLCCGV5rQlhFQ9zBcEnTs38Om67Z225XMB4VhleNMm3zptFy/ejw8+WImMDJv46ot4BMeIhOLaLUPP8vLK1/04Y8Z2q5Pn449Xu7zoW7fuCHJyjHb079/UmkEr+6ldxdJWLXxK4bEgXS2iHLBzv6L0QqM3xcjstlXoeVu7d9sucjzl5FYlrupwFZrUMjLo6LQlhPgjlS3ayg3xO+80u21XVHvRVorFdmmYjKHND6BpTAaQuB7YPsdWIMvkMtWjXv77L9Flpm9NpFyctpI7W5ALBIcDMaaCYLFtjOdZDwCfjUTnYOeCd6oImaAzbbVoK8XDjmwwphMGOG8z3OgPBlpEVq+ioV5rD7yYABxzH3FwWpv6uLhnEzSrZy/0Dulq7EtwUS6QV7XqWRBCSEVB0ZYQP0CLhZJV27RpyYpAlSzT1vfxCCKkiqhqxpfxCHKBdOaZk3HnnbPw2mtLyuy0NccjCF27eleMTC4iExLeROvW72D79vJzbU6fbsvPy8zMw1dfrfUYjTBgQBNrtWfh8GHD7ZCamm0Vq0sad1CW4llPDXiq3Jy2cvGhRdthCcMQEeL+wkqqXpvXYXazV3W+G/0dFl6xEJ1iGVNECPE/Klu0FcaP72HtL0yevN4qwFZX0fbo0UzcN2AN5l83FW0z/wR+vxf49nKba9NFrq1EFVW1uKvyIiXFuFkeERGMiIgQ1wuJALrldyehu9hoBBFpzdmy2mkrHFyJ8JBC907bRt2AM54E+lpqzcj3Jf2gOs0AhyJjOQU5WJt5CBtDQ60CgssRO9Kuf98E1nxt+WCa8QhydvxqbhvaGm9c0QO9m1ucvxb6tG9uZPQKWdWnn0UIIb6Eoi0hNRwRFLWgJC5byVPzJeWdaSuZoXl59p1CcYr6Kmpg6dID6sJBWLXKlsddeqet63iE4kTbr79epzJjDxxIw/33/4nyQETaOXPsnQ7iMBYB0l0RMsNpaxNtda6tWaRs0cK+WIWvCQwIRKuYVmhbty3ioizukHJw2povPp4d9CzqR9R3uy6JitBu5Oom2tYNr6seIYFuLhwJIaQGUxVEW7mJPm5cN+vf5i+//K+ai7YZqB9pOCEj68fZClxlHnda1r4Yme0msT84bT26bHf9A/xwDfB2D6cCbp6LkJmiEYSOY4D//QdY4pAyIiwZt66ctvXbAKc/AHS52Hgt/YJWw4DWI5w+cyTjCMYuehA3xzdEm9w8tIlprfpnThzdAvz9DLB6krEf2iEbXAqHsVyz6IJo2dWnn0UIIb6Eoi0hNRyzi8HX0Qj6wqM84xHMebbNm8f4PCJh7doj1umDB9PKXIgsKspetO3c2TvRdsUK24XL779vx7//2ruLfcGff+6yCtSaHTuOO2UGa6et5KB16xaHxo3Noq1xjMwuU515W140iGyAXy/8FdPOn1am9dg7bZ07/3JD46G+D+GBPg+o7DZvoxHcra8q8t3W73D1zKvxzeZvKrsphBDit6KtcNdd/ewKkklx0Oocj2ATbeOdh937ca6tjOLRmbaxsR76Fvsso73yMoBdc4tfcftzgfPfA3qOtX9fjr30YWQ9AYHIqdXMbnZCQjTq1nUjoLYcAoz7FTjPVq/G8cZ2QHAEpvZ5AtMv/EX1z5yItny/6UeM+AZYBOhg+/gwM1m5BcjOK3AyERw4nolTkU2QF93Msi5CCPE/KNoS4ld5tjYB0VdIlqke4lceTludZysZcLff3sf6vq+G1P33n020dSy0VdJ4BBn2Fhwc6CRqS+ar/i7c5X+ZRVvhkUf+9i4rrJTRCDfdZCsI+f77tuGLx45lYudOwxnTq1c8QkODrJm27py25R2PIOxM3Yl31ryDn7b/VOp1yEWKvuB1FF0FcYyM7TQWl7a7FNn52cgvtBe4zezaZf/5/ftPqgvuqk7iqURsOLYBL698GbtP2GdFE0KIv4m2cXHui2aVNx07NsCZZ7ay/k367bdtxYq2ZrGtqjptg2rVN4m2zk5b6VvoQV+rVtV80Vac1FLgtVinba7tvMS/zqKpE7GtgV5jgTYj3Ltw67ZAaESk62gEQfqZkmG7ZyGQ71kU1X3SIImOku26o3a88XzqCJBnxEIoPEROXfbxEnR4cjYW7LDv23+/cj+6HHoUz7f5Hojv7rF9hBBSU6FoS0gNZ9Omoy6H6pdHRIKvnbYiompxtl+/Jhg0KMHlfvnKaSuxC9nZ7oW64uIRHIuQOR53EbW16Ol4ASmxCGYWLz6gHLe+QgqczZixzdLOULz11jnWfGPZjhZhzeJx//5Gnpl9PEKai3iE8nXaCnvS9uDTDZ9ixq4ZPnHbHjhw0m0BlPOnn4/B3w/G9lT3x3/XLvsLUVmXzvutypiLjyVmlC4OhBBCaoJoW7duOMLCLDmbkiO66RegoOR9gLJw7722Yk9vvrmsWjptRcwzi7aIjAUi6rl12kpfqUMHI35o/fok5ORU7DGvaLTLVoiN9SDanrRFU2HE02Xb6N//Z12njJpyGY2g+WQ4MOk84Ng2IONYsf0Hl5EIZmrJ+gMAufFt3acAICjU/bot3bHgQPsItyCLul/g4MAlhBB/gqItITUcc4xAecQjmIuR+dpp+9dfNieguFHMTmFfxCNIxti+fSft3iuN8KbjERyLkGm6dLEd9w0bkpzmmzPdzIXLHnvsH5+5Nxct2q+KhwnnnttWxTjcemtv9VrME1K9+ocfNuKhh/6yfmbAgKbq2ZXT1hwHUN6i7YG0A7hv/n1OomNp0K7ggoIiJdyaEWftf0f/w9Es44aAJ6fz7t3OcQjVISLBnNtb1mNJCCEVijgBD64CNk33iWhrF40w+WJg6nhg+UeoSM4+uw06dqxv/Tu9dKkhcsmoHbNAq5F+how8EvTf9MomLS0HBXm5qBuRYxJt67rNtBX69jVuCkvNgnXrnPtFNTHPtlin7ckDxvNV3wMJfT2vNOcUsGYysHu+6/m5FvE/ob+TaGvntBVRVOcPL30feLU1MOMej/0HEW2vmXUNzpt+Hg6kW9psRgqO1bL0ZY/vMZ6Dw41tuaGg0Fh3kINoq8/1Qh+PPCOEkOoERVtC/CQeQTqK5ZXdpi8sZAiYODrLQ7Q966zWdvvgi3gEs8u2LLm2Oh7BsQiZt8XIzO7Wp54aanW4yrJTpmyAL5g+fYt1+qKLOqjnm2/uhZAQ48/A668vxZVX/mwVw4OCAjBkiJGDFh9fy0nU1k7bsLCgcs8EzCqwXfC4rFTso1zbjLwMjPtjnFeipqPTtroUIzPvU0EhRVtCSDUi+yTw2Qhg6vW24kal+HudkZGnpu3+diVZ/tb+V7F53yJKmd22IoAKDRpEWgUrx+X16Kaq4rQVl229CKMthUUBQEQdmxDowmnrWIyspkckpKRkeue0HfsLcOsioNnA4ld6fDfw213Azze7nn/Vt0D/24GLPnbhtDWJtoIW2LfNMp7rtvAs2iIQ+9P2Y2/aXuS6y5nVEQkZR4EWQ4Dmnvcp3+KkDQ4MdHLajg+ag9u33wgsq9gbKoQQUlWgaEtIDUY69NoZKS5bKbRUHugLCPMFR1mRYgS6QJaIoVrI7NSpgTXKIDnZNoywskRbEalzcgq8ikcQNm50FptXrLBdsMh+vvTSSOvrp56a53YYv7eIY/SXX4xoBMmoHTXKqDQcF1cLl13W2Wn53r3jMWvWNYiPN2IRQkKCrMM05XyS9WmBsnnzOi4vLKuqO9RetLW/mHQUhD0JxI6ZttVFtDXvU1kFcEIIqVCi6gPh8m94kSFalUcRMu1QrECuvbYb6te3zx11FY3geKO8qoi2SUkZyMoLxm2/j8Dv2VcDgUFA457A2S8CA+9y+Rl/KkbmtdNWhO74boboffIQMOtBYOb9rpfVsQMxxogoJ+q1Aka9BMQ0UTfXzU7tVq0c6hDoKAu5KSK4EY0LYRFtAwOtEQlu+xG6GJksd93vwFjP7ngdfxDkoExI/7JBwAk0zdpW6t88IYRUdyjaElKDMee+llc0gjkewZcRCZJzJsKsMHx4SyUcOu5HWSMSzEXISiva6jxbT/EIUmxEC5uOTlsRQLXTVi4gJWd22LAW1uIkEt/gSlwuCeJi0fs1YkRLVRxN8/DDp1kdwiNHtsLff4/FypU3K2ezGZ1rm5iYrlw12qlUEXm2vnSHtm5tuTgBsGOHvVvWURB2JxDLhbK+CDO7ZqpDPIK5uBrjEQgh1YrEtbbCRrrQks9FW1MxqIog8zgi9v+N22834opKKtr6umBpaZA+QXpuGD5e3R2b6lxlK5I18A6g/TkuPyO5qrpwqzkiqkTI0Pt9S1C9Mm3txXm3pB0GVnwCrJ5kn3XrJNoahgZPmJ223brFOd9o105bISjMENxd0CCiAe7qcRfGdxqPAMmo9STajngKuO1foOtl8Ib8Ai3a2ksTgQEBOFlk+S1kV/0+FiGElAcUbQmpwZhFzfIqQubotPVVMbI5c3Zap7WA6SjamiMStm9PwaxZO5RDtyKdtjoawVM8gnSY27atZ22zOad2587jVreMFFvTbuhRo9rYCdhlYfr0rU7RCOYO/Natd2Hv3nvw119jMWJEK5eObJ1rK1mwy5cfculcLS8KLVlnvhAadfETYcuWY6Vy2kqVb43cUKhOTtuIYJvITKctIaRa8eeTgB6OfWyHb0Xb8b8bhZLanoUKZdmHwHdX4v6hW9RImJKItjIKR2KpKhtz8TQZweMNEREh1n6p/C0296W85uPTgS9HAfuXo9o7bRPXA7MeAtZ+a7yWTNvmg4HCPGDd9+7zb2NsBXrdIWYALZCffroRe+VWtBXBNtj1qLGGkQ1xa/dbcW2naxEUEOS5H9GwI9CoKxBmK2TrCZ1Z61SILBA4CctvIavq97EIIaQ8oGhLSA3G7Oo0F/EqX9HWN07bmTNtF2TnnGMTMO2LkRn7t3//SfTt+ylGj/4Wb7+9zKv1Z2XlYcuWZCe3pI6TKGkRMk+iraAvTrKz8+1EP3OerTnjTcRUX4m2M2YYjiTRYs8/v73T/MaNa6uYA09op62wePF+63RFO23LKjQ2axaDiAjDdaK/f3frdicQm/Nse/ZspCqQVxfR9uF+D6N/o/5qmk5bQki1InWvbdrXTtuWQ4Ank4GLP0aFYhGhYzK24uqru5ZItK0qEQlJSafQss4JDG1+AM1jLDe+5WbrgRXAttlAgWthWfd55Gb7f/8llmyjss4cy7a2/IZqn2mbuA5Y8TGw8Wfbe62HW1ZgMzF4HY9gokGDKEybdjmeeWYoHnlksPMCkSbRtpktX9kT+ua+jkxwy86/gZdbAt9c6nGxYe0b4pzOjRATEWL3fv+WsRjRs53xgk5bQoifQtGWED9x2lZcPELZLyBSU7OwZInhImjXLhZt2tiGtOtMW/P+TZy4wJqlu2yZd8Ps5LPiGtXVm7W5tCxOW3fxCJ6KkZlFW3HauhJty1JZWRweenu9ezf22gXjSbRdsuRgpYm2bw5/s0zrkmGB7dsbblsRz3NyXMcFnNvyXMSGx7pch1l0b926rvUYHDhwssz5wxXBi0NexJxL5mB4guWCkBBCqjr5ufbDxMsrHqGiETeicHQLHnhgoHUo+6BBCdVGtBWn7VVdt2H+dVPR7cQk403pVH1xDvDdFUCG/agWVzeqX355sRJ/vcZ8LkhMQhXm+PHs4p22rkTYei2db1Z4Wt4D553XHk8/Pcyuv26lzZm2aQ9F0DLzMrHt+DbsPbnX6rR1G8+RfgT4903gn+eArOPFxo68eHFXfDS2NxLq2cdHdE+og7N7W0aI0WlLCPFTKNoSUoPRYp04NuROe3Vx2v755y6roDp6tFE0y9zh1RdaEjUg8QJffrnWOt/bTr/Z1dGvX2PrOsuSaeuuEJkn0dZcgMNcmEO+r/j4WlanbWlz65YutQyhA3DaacUPo3OHjkdwzJ+rCNE2JDAEjaMao09cH7SKsUVllJaOHQ3RVs4xOX8cYxgkQuDl019G27r2556rImSSkduyZV3r+kp6/lQGDSIboHGtxogM8TJbjxBCKhs1HNz0d1DiEUzROWUSbQ+vNQo+rf5KVCi3zlCfk5MOxHUxppM2oXPHWKxZcwsWLboel1zSsRqJtpmoH2lEAITWaWgTbaWgliCinQuMegWB1tFVHTu+j88+W2ONuZJnGZ3ktijdoP8Z0weWG99btXDauvm760qErdvCZ6KtR1qeDlz4IdBrHJDQz+1im1I24dIZl+KeefegUVQjNKnVBMGBtrxcOzKPA38/Axz+z3gd7EIs9hZVfJBOW0KI/+LmX1pCSHUnOTnDmjNWnnm2gvnOvS8uIGbNsg0FO/dcZ+FMXMNy4SWFyu6++w+rwOuYreZtEbIePRqpzK/ExFOq0FZeXoG18Jmv4xGEDRsM0Va2s2aNIR5L5q2jA0PcttImccsePpxuJ5x6y+LFvhFtJUJBk5NTUKGZtt0adMOcS+f4bH3mXNutW49ZIzeiw6Jxd8+7rQ4Sd5hFW6nC3KJFjPW1RCRUhJBdWj5c+yFWJa3C1R2vxohmIyq7OYQQ4h3aTRnbFuh7I1BfhkwX+Ua0TdoErPzMmJ79KDD8MWDQ3Sh3Zj8CbLYM7ZcCa8d3o2NH1zcLzehInqoi2srN8vqxhmgbGWsbJYSIekBmCpBl+5tpRkZRTZ58EW6/fSZSU7PV4+abZ+CBB/5Ebm4BsrIMwfaaa7qq5ezy9iUr9YwngOUfA5nHgJRdQH1blFZFITfUp0zZoEZaXXihfc2AEmXausqorWtx2qYnAnlZQIjpsxd9ZHwm1gf7LMe1x9XGwwM6QiowIBCTRlkc1e6o3cj+dTGirQj0TgXSRPA+lYOkE0FoHxaDIC3eEkKIn0GnLSE1lIqKRvB1ITLpuP3xh5FnK53gIUOciyaYIxJmz7bP+kpKyihxETIRbbUgKmYN80Wdr+IR5OJEFxmZP3+vcmSKeKsFUHM0gi8jEuxFWxcFKEoRj6CRYZyecvd8ybGsY/hsw2eYsmWKz5y2jsXIYsJicEu3W3Bd5+uQW5CLgsICj/EI4naSCzCzSLtnj+uL06rCjhM7sOLICjyy8BGsPWpzqBNCSJUm1SLa1m8LDLgdaDMCCPTu5qoZ/fc9KCjAli8qop9GxFNXzsbyYP8yWy6ratx6rz5W9Zy2GVanbUhMQ+cCV25EW+GKK7qoYqjXXtvNbsSWFmwFEUVd9oGkYNbQh4Dz3wUibTFaFcnXX6/D2LHTcdFFP+C337a5XCYlJcvaRzQXmyvWOSvHL6qBcaPCMWKi1VCg57VAuO2mcXljFm2LRdpuFmpDPIu2nZ6ejZaPzsSB4zZXsjBnUxLOnbQXtzWZBty1opQtJ4SQ6g1FW0JqKLpIV8WItuE+i0dYteqwctAKI0e2QliY84AAT/sjjgZxsHqioKDQegEgTklpf9OmNlGyJEPcvY1HkMq9Z5/dWk3L/o0aNUXFQGhcibbdu5etGJkcB52ZK8Ki2S1bUly5fGWdds6XcuRo5lG8veZtfLHhizKvq2PHBnZOW0eum30den/TG/MPzHeaJ+4fKXyn82wFHY9QHYqRaSE6uyBbZdMRQki1QAup2n1YSrRoKzccg6Q0vZBhucmtBbCKyEg9lWwrMNXpQkvjNlR70RaRpix4LaTKUHkPyHchTtq//hqrRgRJ30JGJ0lNA83332+0/9DWmcDmX40h/fKoJNH2888tw/9VfYWFLqOstNPWrctWPuNKtJX+1QM7gLtXAXVKP1LKV+h980q0lbab3bbFOm2NwxAcZN+n1D9RHZlBCCH+CEVbQvzAaVv+8Qi+c9rOnGkrLuKYZ6vRw9k1cXFRSuDVaNHXHZJjmpmZZ3XZChKPUDrRNscrp63w6afnKZFY59o+9thclwU5XDltSyPaSgSEzoMrSzSCHo6pC6RUZDSCsDppNa6dda1TsbDSIlEUehie2WmbnZ+Nrce3Yl/aPrfb2rfvhPXiQX+XZqft3r2GoFtV0U4ZXx1LQgipEETYPOs5oMO5hsC1fiqwbXaJViH/duvROHZFyLSLsWlf47kinLYHlhnPDTsBLYcAIoRJlEBZRNtjO4G9/6IikRuZEmsQG5ntLNp64bQ1I/24f/+9AXv23IMNG25X2b7iiBZ++GGTvSC64GXgx3HAodWoLKT46KJF++1MB3Pn2gv+0mYt2ipnt5y7exbZr0jOvwLpS4rQ6dAXdHVjXMT9NZNtebEVhO4zBCAADy14CJfPuBwbjzmI6WbM+1KMaJtvyacOcohI0MaAwiqcWUwIIeUNRVtCaijmYleOIqevMV9AlMRpu2jRPtx0029YtuygyzzbUaNcZ3WZ4xGExx8fYicgFpdra86z7dnTWbQ9dCi9VPEInjJthbi4Wpg9+xrUr28UotB9UHHhavHYTPv29a1FOkoj2i5ebLuY8FSJ2huk4+wYkVBR2a0nc04irzDPSXQsLeLe1oKrOG21CLvn5B5cNuMypOakut2WjkYwO22rUzyCWaj1xbEkhJAKIaGvkTPbYjCwewEw7SZg2QclWoWIZ/n5hS5E22R70fbEfsBNPI5PoxGEZgOAblcCjx4yhvmXsM8lgqmV93oDX40Gkm03vyuifoJgc9rWs8+09VCIrDjEgTtiRCvrKBY9csjJeS0i5vJPgAzvRG9fIUKyIy+99K/TaCx9zimn7aE1RoEus9gsRdUe2gPc9i8Q7Lkfqdg+B/jtLmDFp6hIiiwZ0pL7v/PkTmw5vgXpuR76y9Hxtum6zd0uJn0wbaQNchCp9evrj70GfDzUOH6EEOJnULQlpAYid/a101aENnMHv6rEI8jQ/UsvnaqGlg0fPgl//71bDVsUp4Jjzqwj0vHVgllCQjRuvrm3XbaqFMXwxH//GcW/3Im25RGPoGnbNhYzZ16NyMgQO0dtRITttUayz7RALeKi2yrK5VyETOP4fVSUaFse7lBdjEwc1/r7dhQxXW3LXISsdet6Voe1FuKrejwCnbaEkGqPKkImzlIj/75MRcjMom2jbkBgCCA3CdOMvki5sX+p8dxsIBBWCwg1/oaUyWlbzzLiKHkLKgrDuVyEB/86Hb+kXwbUMhUiE1f02S8CHcaUev1XXNHZOSJB4hayLaNa6jQDpt0C/PEgsG8xKpLvvttoN+JLEKftypU2cTklxTbyKzY2Etj4k+GQlRsPGhEmRexu1MV5I7v+AT4ZBvx8s+09V1EKFZxpqwu2uoqDsFLbItoOvAsYfK/bxQpM6wgOtJcmtPO2ce5eIHEtkG4zXRBCiL9A0ZaQGohcmOjhWOXtsnV0mHobj7BgwT6rI1bEyPPO+w6PP26LCzj3XM8Vcb/55mLcfnsfzJhxlRq2rzvMxTltpYO5YoXtYqwi4xHM+bU//XSZddifp33VEQkFBUXYssUWeVEcsp9atI2ODvNJRIZjJm5FxSOUhzvUXIxM59o6ipiutrVrl80xpN26ZgFbXNoyXLSqQqctIaTakZMObP7NlvkqxciE9MPGvDKLtpZ4hNpxhghY3hEJuRlA4jqb07aEuBVt4ywCZwUKW0a/JACfrO6GTfXGGQK0RlzRA+8AEvqVev0XXdTBOuLoxx83GyNj9HdTq5EhdutjqN3LFcD27SlYs8YwAPTuHY+JE4db5734os1tq/viQr164YZIL3+HtWhfHCJoishrLlJXSaJts9rNcGOXGzGm9RgVkVDszd9+Nxvu4dMf9LjeAlNere4Xa3SUVUag5bzKrto3xgkhpDygaEtIDWTbNtsQsU6dbOJUeSHFPLRw663Tdto0eyeICLdffGGrZn/uua7zbDUDBjTFBx+MRvfuhuhq77TNcHvBdv7532P+fKPD36BBpFWINAuSJRFtT50yhu17E49gZtSotli16hZ8/vn5eOyxIW6XK22u7Z49J6wXqHKsrAVXykBlxSOUp9NW0GK4o4jpOh7BdsGg3d7mYyEXlJJzV1UJMlVbp9OWEFLuiOi06kvg4CrPy236xVhOHlJgypJxqUjeBvw4Fvj2CuN1RB2bo7MEblu3oq0IS3euNPJlWw8H2o8GQhyKRh1Y6b2QK9my+5e7n1+QC5w2Aeh4PhBjGQWz5mvgszOBZR+VXrTVRdoqIpPXwsqVtpvgffs6F1QtK3XrRuDss40b24cPp+Pff/ebohFaGM8ihJpzgiuA776zFY276qouGDeuO+LjjXNq+vSt1n5FSooh2p7Rcj8urj8TaNDB+JCcH/oc/+8bYNZDzlm3Qj3Td6odqZUk2raq0woTek/AVR2ushYj05EJLpHvp1FX4/fqpWgb7JBpq1+eCrD8XrMo2hJC/A+KtoTUQMy5m23aVExFXR2R4I3TVoQt6dQK4pIdM8Yy1NEUfyBCY0mQvFhP8QgiEnfp8gF+/92W9fb000OtRQ4knkAViSiD09abeAQz4vK94YaeLqMRXIm269Z5L9ouWeLbaITKFG3L22mri5F5I9pqp604f8zu7BYtLFXHq3hEwkcjP8IlbS9R03TaEkLKHRGafp8AfDnKGNbujgWvGMvJQwpMbZpmm+co0tlFJGwvu2grQ9MbtDOE2tGvA1d9CzTtY+/EnToe+GJU8RvZt9TIlpX9TXfzN1sKdI14Erhisq3QlEQ0HFwBHFxZ7CZkVI92IFpFW3EiL3nHmD5uXwyrPJGc2YZRGRjWYj/6tba5Sq2O4gMrylwc7corbREJP/ywEUjd4yDaWpy24l6WbZYzMpJJRyPI13fFFV1UVv5991nEYwCvvLLEzmn79NClODPoW2Dn30BIFJBz0hZjIRm1Kz4Gjm523piI+iKQ5mfbHNRW0dY3fbvSoOMRCorLfp5xD/BmV2DdD24XkWN4RoeGOL1dA6dCZO3iauN/Z7RBXJyl7gOdtoQQP4SiLSE1XLQ1D+EuT2Jiwrx22i5desB68XT22a3x88+X4/zz21vnn3NOmxI7Q81O26NHbRliwmefrcEll/xodTxIlILEKtx5p/2QPS3CyRB3XZyqJIXIvI1HKAndu5fOaevLImSuMm2jokKsOa7ljRYXI4Ij8NlZn/ncaesqHmFYwjDERcU5Xajp35YI1uZztGXLutVCtBVu7347frngF1zW7rLKbgohpCYy+SJDeD1xwN5deny3+8+0PN3IPhVnnrBpum2eFiHtRNu2vhNti0PEXBHMJI7BvE8uN2JxYMrfEylo5i2Sp2v+vAfkZrN221pF270ml2YFOW2lNoEUdh3W4iDmjf8JdRY+ZL+AuKA/PxP4+aYybUf6h3KDX5g6dTMKUxxEfBEvo5sAhfn2Bb7KibVrj1hHtA0Z0tzad7z11t6oW9f4Xr75Zr26ySuZtoMSDuH05odQgBAj31WK6gk6IsGTczYoxPa+fK+S5auLf8k+VyAZeRnYl7YPRzOPWg0PhfBw81cE9NVfASf3A/kOgr6JyNBgfHFdX3x9Qz+EOPT9RbS976z2aNPMcgyyqnaxV0IIKQ8o2hJSAzEXS6o40TbcWthJOvKe+PlnWzTCxRd3VAW3pk69DBMm9MeIES3tssG8xZxp6+i0NUcxSD7ahg23O7l7Bd3xlkq/nnJxXRUik32Qh68RB7EWpMVp67HogwmdZytunP79m/jcaSuipe60lzchgSGoG1YXQ5sORY+GPXw25FKfM45O2zZ12uDdM97FoMaD7D4j50RGRp5dETJXrmOJpqjKiBjduk5r1A2vmH8bCCF+RG6mUTxJIg5CIuWPEJDQ35h30oPgOeol4MopwAUfGK93zjXWZee0tQwV96XTNnk78Pt9wPKPbQvK31mzOBQaBcR39y43tf8ttulMW1SVFXEmbpvt7DrWYnXKDtt+e0CLg1bR1uyuNQ+lL0c2bjyqoq3qR1oEuchYZ0exD4Q2GcU0erQh0icnZ2JJ4MXA5ZOBzhcaC0hfpAJzbc0FyCQawdzOe+7pb+1HPvXUfOW0ffg0wz19MHYUEB1vi3PQbS0u7sAce6GXlWNdguJ1vmDBgQUYM30MHvv3McSExaBeeD3VP3OLJUJBke9ddJpbrOdS1e5fEUJIeUDRlpAaiHYDSj+2efM6Feq0FdLS3HfORHTUImpwcCDOO8+48BLB8803z8Hff48rldAsIpwuYOAouGrnozg1fvrpcjRoYBN4zZiHux86lFaieISS5NmWFB2RcOxYptu8XjNyEScXU9qpW9LYBnckJMS4dJaWN6NajsLCKxfi1aGv+nS9HTs2sJ4vcmHVOKoxbup6Ey5ue7HL5bW465hn6yjaVmWn7csrXsZdc+/CpmObKrsphJCaSMpO4zmiHhAVay9GacHJzG93A9NvB1J22cTLmGaGM2/3fPfxCO1HAVf/CJz9QtlEWxF9V30OrP/R8non8GJT4J1exuvsNKPYmVVoc1FA6uQhwwGpaTPSvWibtBH47grg7R72ub2S0RvVAJCbh0ftM/+tFOQbgm9Wqp3TVt3MNbtrpfBXrnNMVKmRdsoQfgfxVaIRBLeircROCDK03wshWpG43nYumLjySps4+tVv6UCn84GGHW0LOAqh5YSMwvr++43WPuyll3aym3/vvQOto5C+/XYDdi9bgvPb74YM3krpcLOlrRaBWXKe87KBjKOe4w70eS+xEHWaA+N+Bc6zRGFUIHo0UiAC8f6I97HgigU4venp7j9gzoUupdiakZOPHUnpOFYYBYTXAYLLr69NCCFVFYq2hNRg0VaGs+shZRXltC0uIkGG0u3bZ1zcnHFGSyW2+gJxlGpHqlnYlIsZvb3mzWOsOXDFibbe5trqeITyiEbQdOvW0Dq9bl3xVaGXLTtoNdn4Ks9WaNYsBuPHd1cF3P73v9JXgy4NOQU5+GbzN/h609c+y2Lt0CHWLiIhIToB9/S6B2M7jXVaNje3APff/6f1ddeutu+kOom2q5NWY8HBBXh++fNYfGhxZTeHEFLT0M5X7YS1E20Nkc8OceSu+9aIT9B3mzuMNlx6yVvdi7Yy3e5soE6zEou2ERHBthutmZabcSKYCrXjDMEz67ghxK6ZBLzSGtg1170oOPth4KsxRvatWbx0JdrqgmxNexsuZI3st3bbHlnvegdWfWEIvj+MtYq2BQVFyDiVA5zYZyxzzzpg/G9AmH0GfZmQfOFvLwc+PA04ZRTYMhchi41wI9qG1gICg71320oGsEQpyH46IMVp9Wgm6eM4IdEa434zcoLLkU2bjuLAAaN/OHJkK6eYqOjoMDzxhFFctlZoLm5v/KWanralLSITLAJv037AdTOB25cAaZbfRHCEzU3qiPyW6rU2nOthtYBWw4COY1DR6KJjgebz1lv0DRwXHEzNRPsn/kDviX85zVu59zjOfHMhxq9pCzyyD7jg/ZJvmxBCqjkUbQmpYYjLVRyZrtyAFeW01cXIZNjc3XfPwoMP/onUVKNT//PPtkILl1xickn4AC3ainNSxwjIsZDIBqE413FpRFsdj+ArN6srundv5FWurbT5hRcW4Y47ZlrfO+007y9oveGrry5EUtIDOPPM1qho0fbllS/j1VWvFl/4ooROW3OurfD4v4+j59c9lUisefLJf7BmTaI1D3fsWMtQWQuRkSHW868qxyNop8yGYxuwLLHiKm0TQvwEyTE1Z86aHYSO8QjiYNUOVXM+5+AJwAM7gSH3GcOqtbBVzxSPUAq0aCsu2wBzATAhypJzLmJnpGU6dR+wdRZQkAN0PM94T4pFmQVIye3c8ZchtOoMWy1eivDriC4mZY560FhFWze5tjssNw4DAq2irVrl4X2G6C0CaXTJirh6xT6jqJb6Hr65yOqa1E7bBlHZrkVbOcbWYe0eitBpJI/22DZg9wKnWfI3ViKa4qIycEn834bj2IzEDrQaakRZlCP799sc1f36NXa5zG239VEmgYnDF6NfkyQcywzHo3MHW4vdqliDFoONZ3M0grvIqUF3Af9bY/wuKhHd9xKnrddc+zPQ/zag51gP6y1CTn6hejiiC5PJMoQQ4q9QtCWkhrFnT8Xn2TqKtjpj7euv1+G991bitdeWolu3j7BgwV5Mm2Y4Z6RvesEFtuJjvsp/1VliqalGG7TLVmjRwja8v7jMVi3ayr48/vhczJzpnJtXUFBoFYTL12lrLkZmGUZnQkTqiy76Ac2bv4XHH//HKhrK0L2hQ5v7vD0VlWWr+WvfX7j5T8uwQoeCYb4qRrZlSzIy8zKx9+ReHMk4gvyifOt2/vlnD1591bhoDQkJxLffXqwuIF05kYXExHR1blRFzC5lXx1HQgjxzmnr4JDUztvwGCDcdtMUtRvZO/Mu/xo463lnUXDXPGDBK8DhtcU2S0ZL6GKkdkXIMhyctmZH78GVwAHLza3e1xluR3EbHlhpasM/xvB/cfw27mm817gX0PlioGFn54ZYRWLT9szFyER0FTelK0IsQm2H0Xaibdbh7TZxPMjibDVHL5SVkU/bhuOLoPzdlcg4cQKbNhn70qKh5W+J4/ejYzK8ddpqsVqL1y76eN3ikvF/p81F4V9PuV9PRgrwzSXAUYtT24eYIzbi4127mcPCgvHss8PxxD+nYfqW1jjnm4ux83hd1yPL9A0Jd3m2rpzpayYbNxQqyWkbFBCE11a+hvF/jC9+xI5EhYx6GQh2b2zItwiyrgbCBeqCZxWQ0UwIIVWVihk3TQip8GiEihdtneMRVq82hs5pEXT48EnWYftScVeLrL5COx21kFmvXoTdUHXzEPbinbbpyq17xRU/4c8/dyEsLAh7906wu9jTRanKO9O2Y8f6Kq9XhkHOmbNTuVv69TNcSdu2HcOoUVOc3J0SPfHww6e5vaioToiIujnF5tD2VTyCHFfN1q0pWHp4KSbMn2AnakrW7bhx063n7QsvjEDPnvEu1yexEYIsK59zl51cmZiFWl8dR0IIcXbamkRbGQ4+drqRx2nG6jIsJsZH8ktdseZrY+h+cDjQ2HORSnPWvWvR1vb3QDl6D60Cln9kZMzG9zBENclNzUmzFyC3zrQNz9c3NLtdZjxckelie5oulwBdL3W/E8dtMRF16tgUrtzk/Taxee13wN9PA62GAxebiquVBRHVe48HmvQCvhytcn0LPz8XgRiJQgShSZ1cD6KtpR/qWHjNFToWQo61CPEO36l8b3F5xo34nMgEuA3XmvMosPNvIGkTcMNs+1iNMpKYaBZt3fdhr7mmq7rZe/GPF1iNDXIj3UraYWDxO4aI/9AeIM/LzN9lHxq5ypd9BdT1/U15b/oPcuN+54mdWHN0DY5lHSv7ei2ibXBQoFvRtlZBGvD1BYaz/ca/3LuSCSGkBkKnLSE1jF27Kke0Nbs+dDyCdmFozDfKL764g8/bEBdnE8mSkoyOtVm0LWk8wqxZO5RgK+TkFGDhwn0ui5CVdzyCuDZEhNWVk0877Qu8/voS1Z6BAz+3Cray/888MxR79tyDuXPH4ayzKjbCoLxwFBd95RCV7zsqKsTqtHVcr2xXoiYOHUpXr+U7uO8+S7ETF5hFWvmeqrzT1kcxE4QQYv0jL4WCgkLt4xHENdv6DCDW4W+Sjktw5TI8vhv44hzggwH2nQczWhiW4l6lKULmzvmqRT7tGhZBVjj3FeCBHUD3K2yFwbZbhulLDq83uHL2ajwJUeZiY7vmoVvMTltqQsRI4JEDwIUfGI7GU0n2hcl8hThgr5mqslVrp2+Cbu3ORmOBM54EGrgYPdX3JuCcl4A4WyGxYp22C18Bvr/GefONotC6ntHfSQtyffNUIdtr0AFITwT+fBK+REbSaFzeFJciapt+QdCxrXjhhTOsb4uJwI6AIGD5h8DGn4HAoOKdtl9fCLzc0lYIrzxiMIpBx46J0zZQMqd9dPNXi7ZaoHUVj5BdFGLk/sa2Bdh3IYT4GRRtCalhVJ7T1pxpm6M6d5s3GxdDjRvXxksvjbC6DKQY2MUX+zbP1lG01a6affu8d9qK8CpFJLTY+8AD9kURFi+2uFks6GIUQp065SfaCl98cQEGDGhqjX+Qtg0d+pU1BqJ79zisXn0Lnn56WLH7Wd1wJab6AnGL6IgEEb5zcvPt5p9Iy8QPP2xS03XrhuPrry/0WMhOO20FnStd1TALtXTaEkJ8ioguN/8DPH4EqNeq+OXNeZ6O1IoDDv9niLcSgeCqiJnkggqSKSsCaqlEWxfOV0dnphZkJS/VLCyJgCauW4kASBhg/xn5t9aVu9QxQ9cdjvEGsq5ci2C4/EP0DFlsH0kl8RLRjW1t95Vou3cxMPsxYLslT7dZf+WaXpbW2zJYHogdOhY4/QGgjgvHtDiOB9wO1G/jeTuSk6uLqQlpB4ET9hnI8r21qmM4bY8V2BcDtSOyHjDmTfvCb+XgtLU7jzTb5wBTxwMLX8WYMe3UQ7jwQgejghS8U78Rh7gNd0gmsDkX2Ns4BR/Spk4bXN3hagxuMtgq2urIBJ84bV30r7T5NgNhwNXfAxd9aIsAIYQQP4GiLSE1jKoRj5CtLpC0oNilS0M8/PBgLF16I8aN645Jky5EQoLnfNmyxiMkJRmi7d69tkxbKQxRHNptK6KtuTiV8O+/9hcQ8+btsU7371++HWhp18KF16nIA0fOPrs1Fi68Hk2amDIBaxDl5bQVtGhbWFiEg4fsIyb27bf9lm65pXexx9dcRTo52TYUtyrBTFtCSLkjzkFH15wU9Jr/MnB0i+297BPuBSgRSMWdK8x/Adg2y3kZiSuQ4fciZuns2ZKKttfPBO5aZUQ4aOJMWbQigjZ0uMksjsOCPFs0QvtR9kKSZKk+Gwu829u5IadNAIY+YsnHdYEco1fbAEvftX/fQYRtVLTHqY6Atb3CqSNArg9uHu6eByx7H9g6w/ZeswG4+pcLkF8YhIiIYHTu7EFA9RaJMhBiJBu4lzG9f5mzaFvX6NMdynQRxWC3sCUXN/2wTZivCNFWtifUjlc3hqdNuxw7d96N118/y3lZLfRPucRJoHbCXLguMMS4qVHB9IrrhUf7P4pL2l1iFW190Y/QmbbaVeuqhgILkRFC/BmKtoTUUNFWhn2bnX8V7bTVLluhUydDGOvTp7ESbK+9tlu5tMGckavjEbTTVgpIeZPvao5IcBTj1q07glOnLNltqkCV7SJKxxeUJyEhQXjppZGYM+daq0B9yy29MGPGVVaHcE3EcRi/L4f19+plG2K5bbv9hd3+AzbB/7TTislcdHDaVtV4hNmXzMbdPe9W03TaEkJKlFWbuK70n1/1uSG+mp2Po18HnjgK9LvF9Wfan+tatNKIUNpulDGtBVQ3mG/C2oltIvpKlIO5+JcUFLtvqzHM/rR77AVoySF9vT2w7AOgzQigy6VG0TGnHNciw4Xr+Peq11hg+KNAtLvh/UWGG1dHM5hzZfvfDrQ3XL9183YhMMD4N3zE8f8Dfr/PECfFZSrLCmbnamnRkQVxXe1uSupYpt69G9tntboqCrZ/uW09xW2nURdDjBd0FICFuIYSj2D8Xd59opgRRWG1bW7v4rZdiniE2NgIhIYGOS+Qlmg8W75f6be1bl3PdQFXcS1rCmx9S5eY3d/iqA6s3Et4q9PWBwXCIkODMKBVPfRo5vydxkWH46bBLXFVv2Zl3g4hhFRXKNoSUoOQivU6w9VtJ7GCnLbmPFufuDBKUYhMOpP6eEieraeh7ZqmTe2FXRGYL73UcNlIIbDly43hnDk5+fj3XyMuISEhGq1bV5yrWbJq9++fgL1778HHH5+nLgpqMlpcbFKrCT4+82PEhPnOpX366bZCHlu3H7VOD4gfgMNbbOeLjqbwhH2mbdV02sq/CRe1uQjfj/4et3W/rbKbU62QjOtWrd7GXXfNUs5sQvwGEWbe6wN8fDqQnuR+ORlG/9EQYOM053naTasjETSSwSquWleIg1XjrpiUji7Y+rvb7NtJk9bijTeWOo2w8IiIbjKsv88N9u+LWCWZseICbXsmcOnnQNuR9suIcKooArJtN/+8QmcB64Ju1vfbAKNeAq6YrLI9gwuz0abeCdQKzUWnosWGKB5kZLT7NCLBKqbaRNtVq2xFZvv2bez581t+Bb44C5j3guflel4L3PAnMOQBm5jp4LRtGpuP6DBD3Nxx1ItCtrrNPhJtpU+pnbZuTQCSoyvU9pC5q2nSxzYdbRSXdYv5/C+ucF85kZmXieTMZKTnpvs007ZdXG18f8tAvH+1xWFtokmdCDwxphPuHF5MvAYhhNRgKNoSUoOQgkl5eYUVHo1QvNPWRcGNcsC+EFmGGjKYnp7rdTSCYB4CL8P+XnxxBE47zXaHf/FiYwjbsmUHkZ2db3XZVqRArouTFVdYraYgFwfhQeEYnjAcgxoPQqgUufERPXo0Qq1aoXZO29Obno73hn6I9d8av6E2berZCbLVOdNWaBDZAJ3rd0bjWsVcbBO7m0DXXjtNucvef38lXn7538puEiEVR75p+L0nt63MO7LeiA7wVrT1hOS+XvA+MPIZ95moEqEgBYryc4H0I06zv/56Ha6//lernnvvvQPQrl2srS2/3wv8+5b3bbK6QJc5585qRDzVbtfMFNv74rzdt8QoVuUOXVwteZtrEVqiJyzxDT0aJaOlJeNV5erqbfpKtBWXbNohp8iIFSts+cL9+hUjNta2/J1Jswm9LhGns4i1TXvbYgOObjaOmYX6TRuh58fX4vzvLsCBI8U4U4VWw4BOFzgXwCsl0qfMzTWc0/Hxtcou2oqr+KzngfPfBUJsxofiRduKz7MVftz2I86YegZeWvGS6pNFBEdYxVtCCCHlB5O8CamxebYVK+jZO21z7PLjKkq0NQtrIrJol63gbXEu68UcgAcfHKTiEsxD47Vo+88/eyo0GsGfubX7repRHsiwTvl+58zZhaQtobgi/hL0TuiM//47Yr04GzTIO1eLfaZt1RRtn1z8JLLzs/FAnwcQF1XxmXjVlXvvnWPN6BaeeGKeEitGjPCi2BIh1R1zNqoUiHKHHtKv3aJmtDvwpCW789RR4KcbDDFKRCt3Nz7FgemJ0Ejgtn+NofAOQ8YnT16H6677xap93n13P/tsURE1V31hVKQfPAFeEd/NEIklR3fLb4Yo6KrtkbGGy1aJtpbjcWgN8M3FQMPOwB1LXK9fZd0GGHm/8lldsCx5uzEt0QviID20Ct3jkpGTH+Qs6kkmrBQuiypj3ytpgy2aQgqdWVi5sgRO29KI9bpIlxShkyJd7YzvLC6+DtYeaageQ+JsfUy3iEva0Sntozxbl05bOdEc4hGKZdBd3i1Xz9TP7F8+/aHiKIRxkyIAAXh+yPN4AcW4p31AXkEhktKMv71N61Zc5BshhFQleHuMkBrErl22yrIV7bStXTvUZTxC48a1UadOMQ4CHyH5YnXrhludtqURbS+5pCPuuqsv7rtvAB57bIj1s9pVsXTpARVDYc6zHT7czbBN4lN+2/Wbcnqk5ab5dL1DhxoRCVm7YtH2wPm4rN1l6nvWDBzonavFPh6haoq2c/fNxey9s/H+2vfVNCme2bN34ttvDfFCR6xIPMJVV/2Mgwd9ey4SUiWJigUG3GFMu3OJiiMy46gH0dZBvEvdB+xdBOye716w9RZx4ToItvL33+ywlb/rb799jv2oGMmOVfvnRVyC2UVbyyKGTh1v5wR1Em0dnba6IJan7YkIXccicJtzbUXsfaWlkQlsGfbfo9FRa2EuO9FWBOjrfge6XooycWSjUzSCRARop229ehHF9zX19555DMjLcr2MnFOzHgI2/GTah3uB898D4rtb34oID7bm95uNAaVCxFUR0UuRZ+vWaStCe36W907bkhDd1Li5IM7y2MqJCtBRCL521y7eeQw9n/0TYz9f7jRvX0oGBr88D2Pe5egWQoj/QtGWkBrrtK1Y0TYoKNAq3O7YcRzHjxsd186dK8Zl65hrK07bfftsWXLexiNERITg3XfPxeuvn60iCAS5yNMRCRK3sHz5IRWPILRtWw8JCb7LWCXukSF5E5dNxLEs31WCdsy1XbhwPz5e9zG+qn034i5bXyKnrUSE6IIsVTUeQVd6nr5zOn7f/XtlN6fKk5GRi9tvtxU4+uSTMRg1qo1VmL/88qlWRzYhNRpr1qpDgSzNsZ224fBSBMqTaCtKqnbc+nKotxT9yjNceZI5Lzn0wtix3fDOO6OcY4y8EVFd0WyQ8SzilTW/1gvRNlNvr5h+kY5I0Mdaoh+02F23ucr6LRo/A3f+cxFa1zvh7MT0FSmW77SRrXis9O30TUmJFyo2GkoiG0It58NJW6yCHQdWACs+NlzPml7jjKJt4roVstOAmffjkaFr0S72uLox7xVyromjWpzH5vcmXwh8Ohw4vLaUTlsXom1wOHD5ZGD0G0BIBHyKFN27exUwdrqd67kmiLbZeQVIzcxDmiVyzEyg5fxijjwhxJ+haEtIDWL37hOVJtqaIxK0YFuR0QiauDijI33qVK5drq63Tlt3mCMSXnrpX+TnG51XRiOUP1O3T8Udf9+hil8Ihe5yBEtJnz6NER4ejMCwfCxcswnHs4+jMCQHgWEF6kaEtzce5OJVRyRU1UJk5qIhWsAl7vm//1tgdewPG9YCN9zQE5MnX2S9CbR06UFMnLigkltJSAWghUTtTnUkZYd7l6012zQAKMgxxFItQvpKtF3yLvBaO2D1V6rw1IA9DyA6LEfNGj26rWtx0eq0LWE/5ewXgJ5jgVvmu1+m+WlAl0vs98/b7SX0B1oONXJqhRNS9LQICIkyPhvdGAEtT0frzq3QypJpeyKgkfN6xNnqpjibV4x5E7hvK9D7Outbu3bZzAFy07pY5LhbBXvbCJbiip057cd3V6lia7d3WagiIdLScpCZ6SI72RH53NvdgS0zbO8lbzUewtopKI3TtlEjF6KtCLWdzgf63oiaiFm0/XrT17jt79vUyJ2ykm8RZINc/EStoi01W0KIH8NMW0JqoNNW+jhlFSlLgzgNDzrEllWW09Yxd62sRbvMou2MGTanEUXb8mdn6k4sOrSo3MRGcVRLBML6kD9R6+r1+NZyLYeAIpVbKi5yb5FiZDJsU5xIMoy0ogvUFYf52Pmi6nNNZtOmo9aK82FhQfj44zHq+4yNjcRPP12OgQM/VzdvfvhhEyZOPKOym0tI+bF3MTDvRSMfVIQ8j3m2FnHXkeBQYPwMoHYjI5fV16KtuP/EyfrfZGDR62hTcBRfX3gMa5Ma4PSTInp+7vwZq9O2QcnjIi54z/Myp/3Pxfa8jGMY+pDx0OiCYhKBYPqb0rt3POqlGM7izUeiYPH/GgXS3upq5A+L6OptvqpDf1JuWjZoEO82hqt1ay/NAfIdJ29xn2srxetcibZJm4Bd85RYq/Jtw6Lx0p4J2HfScLwmJZ1Cy5Z1i4/O2G4ShgVzLILEc/gq07aGYxZtd57YicWHFqNPXJ8yr7fAosgGO0ScCEGWSCK9DCGE+CN02hJSA0VbKZ6lh/ZXJK6yayveaWsTbTdsSFLPMmRdsnXLggwDjIwMcXpf3HekfHEUactDbFQRCYH2FwUBgUVeRyM45trKkHmJ0qhq0GnrPb/+us06vFryrc1FCsWdrf9tEyeu5FwTP2ffEqO4Vk1EnJ77/jVyaN0hkQiSudmwo/tlWg4xnLgy1NvXom37c43npI0qW3dvdjM8PX8gnh66DI0Sp9kPjy+r07a0lDaOIXWPc27tviW4ocnPeH1pb8S8dCfmbm9omyfilxxjs+ArQu6ehUZxNDfIjcY5c3Zi+PBJaN36HfVwzI7dudMs2nrhtBUk5mDUq4aD2Hmj7p22/zwH/Pm4IdhK9MDVPyAzppN1tle5tjrawSza9rwGuHuN7WaDFHnzRTzCwdXApunuc59rkGirIxJ80R/TgqwWaM1Yc+TL4hgnhJBqDkVbQmoIMlRM52hWRjSCOR6hMkVbs9NWCy4JCdHWrNHSEhISpFyXZrp2bWi3PVI+OF4UlJdo62SKDSzyugiZ2WmrqYq5tnTaeo/kYmtGjmzlNF//O5uXV8iCZP6OOFG/HAV8Mhw1khzLsHBXWbWaIfcbmZveDg23ZtqW7MaYWyTTNa6LMR3bBhNW34J1SQ2x9kgDBMi/ddtn+05E9ZaCfHuRtKTOXjnuktNrdtpq9i9F++Pf4cIOO5GWE4YVqx2y3vWyWvD99U5g0nnAn0+63NSff+5Cr16f4JxzpmD+/L24pON2TD53KnZP/8BuOXM8gtdO204XAP1vARq4cGGLeC8FvAKDgQYd7Oc1t3qHgSu+Ua/NsQRe5dpqIVjEfHO0UmxroPUIY3qbLbfcE2aR2KXTVqIWpl4HrPsONZH/Z+88wJo63yh+IEyRIaigiLgV3Lj3rtvWrbXaafdu7d7Ljn/31Nba2rrqtlpt3VvcW3ELLhBRpmz/z3u/++XeJDchhAQC+X4+PIQQk5Bxc+/5zntOVEgURjQcgZbVWjpEtPXQyEfgOq4ri7aXLl3CPffcg5CQEPj6+qJ58+bYs2ePwWLLW2+9hRo1aki/79u3L06dkuNqBAJBhUCItgJBBaEsS8jU8QhqyIlQpYqdyxiK4bS1VzQCp2tXw4PLXr2Ey7Y0MD4ocIRDtGPHWlIpuLHTls4vDjzT1hlzbUvjcaxIXL+uZHOHhJhux9SChVrIELggJ1ex7zSOXhHFhRx5UeLUGuDPUcCun227nkt7gY2fAEcWAQW59i8iGzAVaDUBmLQMx+OZ2vPPWVkoPKEhzN09D3hyL1DfAfEmcauB96sCf4xQzuvwCNDzVctuZM4PnYCpFCtwQlu0lR2kMTWZWLt3rxIHZXBZ/n+5MK3OdpU5ePAqBg+egwMHrurP6x55EXc2OYPCy3J0gaZoa6XT1hLcAUuCrYfhPiRa3wO0vBuYsBBo2E86Sy3aWuW0Jfe3zhvIzcD9w79Cty6/oH37n9Gq1U/4em0NZId3k0T+4mTaVq7sJX2ZkC4/fv7Fj6MoD/Sp3Qfvdn4Xg+sNtqtoyzNteX6tGp2ba8cj3LhxA126dIGnpydWrVqFY8eO4fPPP0eVKsr+x6effopvvvkGP/30E2JjY+Hn54f+/fsjO5tFpwgEgvKPyLQVCCoIzijaNm2qGtcr5SIyNfbK9+3SpbbBzyLPtuLEI1D0Ra0If7DaGkZgFe9iLzqonba8YdtZcIMbYu+Oxapzq/DOjneE07YI1IWKwcGmrwP1dpa2v2J74MLovAyFGxsyRMuF0zYvEzi9BvANAtpPVn5PblAScYrK8L64B9j4ERA1DHgiFsjPYQ5Le1G3O/tSCWyxN1sB2AacXgfkZgFeyjYaPoHsyxFI13sbuKWKZWgxxvr/7+WnjO9H3wUEhAO12pg4SJuEXMcLnfbg8x1tpb9Z7wA1Fm3b3g9s/wbIy2KOU1V+6E8/7dGXq1JO7r33tkTLffOln/deqoquGvEItECuKVxqkZfNxNms60DjAdoFdtwlrYayj4f/aHBWsUVbnQcKqkZBl3gA6af24rXWR+DrmY8X/uuBZ2eF4mTlQfh+8uBixSNoRiMQ6ZcrtGhrvD9B2GM/IsjXEy1rBaJuVVPTha+XDhM61NaMTnAFPvnkE0RERGDmzJn68+rWrWvgsv3qq6/wxhtv4M4775TOmzVrFkJDQ7F06VKMGzeuTO63QCCwL8JpKxBUEJxDtDWMR4iOdtDIoQW04grq1LHPQRmNyvNjUsrZ6tFDOG1LA35Q0KFGB3zV6yvUCXDM4x5Zhx3sFmR5IutUMCIqF98BxjNtnTEegUq0KnlWQs+Invi1/694ud3LZX2XnJrr15XnT0u8N3TaauRlClyH2p1MC7kqomjLR82N/8a4VcDHtYElj1m+Hu6q5Xm25Kx019n97mZm5uozxW/6NgQCawP5t4pVOlViKskZ2CRU2gIvdEs+BbQYDQz6FAhXibaVQ/UnxzWLk77v3XtF+T0Xbem5IYIi2eJCfrYSTSE/VnPmHJFO+/l5YsOGe/H4Y23QKozl/a47WtngslwoLZbLNuMqMKMv8Nckw4gCosszwIungN6vF3uayirRlozwaTWl7z3rJKBvvXj0rHMRaTlMcN68mUrqiiYrK0+KIbNYQsadthVt0UYmOz8bGbkZyC3IhU5+39pDtO0bHYplT3bFO8OamvzO38cTHw5vjvfu1BD1XYDly5ejbdu2GD16NKpXr47WrVvj55+VSYdz587h6tWrUiQCJzAwEB06dMCOHaxIVSAQlH+EaCsQVBCcQ7R1Bqet4+IRSJTu16++dHrAgAaaxWsC+8MPCrqFd5PG84J87PN8GlO7ToD0/eb22jj7YW+MrnVvsa/DmeMROCG+IWgX1g6NgxuX9V0pF/EI9D7XysRWixZnz94s1fsmcDJodLvRwIov2nLRMPm0YQxE0jEWoVCYVzzR1kGoC6Nq1gwAmgw2jUigYrK/nwU2fuxY0ZYybQvygJwMln1Mj501UGGbpdeTytV8JCnENCIhWM7hpucl7TITx4PrK0KwzMKFx/Ri5NixTeHv7w3dkb8Q4J2L7Hwd/tuvk4o1jfczGzQohmjrT6KpG1CQA2QZZe8SlasDQYaTTOYottOWnMQbq+OjLe2hc78NT10hUC0KgXVZodnRo0m4mXCOxVlYgDu3je+DQX5xRqLq7614fLP/G3Sa2wk/HPhBctpyt62g+KSnpyMtLU3/lZOjnvNSOHv2LH788Uc0bNgQ//77Lx577DE8/fTT+P3336Xfk2BLkLNWDf3MfycQCMo/QrQVCCoI6p1pq8shHO60Ld0SMvNOW/uJfAsWjMbKlXdj7tyRdrtOgWWmdpuKQ5MOYWL0RIfeTt9mHXBjc11knWYHwJ06Fb8gx5njEcgl8/rW1/HWtreQV5S4ItA7bbXybInatQP1zdbCaSuQGukHfALU6YYKh7S9cGNOW4ozoJgEEgI5vOQrsovl6+GlY5lJwIw7gO3fOeTuqgU2aZSdRFuKK/BWiW10//fOBHbPcMh9kCIkuKh16wZwLQ74bRAwi40wW+20jd8JXN4P3NJYGHrgX6TVvQuvrO1m6rSlzNtOT7LXJB/X1xCCZ8zYrz/90EMxwPEVwLInpZ+/3BmDnDx3nDp13SAaodj7mR5egH8YO61y+ZZ0H8+aIjISsr9ZHYzX13dFA66lNhmMrl2ZSBwZmIqgGa2AvyYC2WlWLQRoxiPQa5oWmN10jiu2c5IFdMqzfandSzh07yE8HfO0Q2+Txv9TMnORnJEjna4oREdHS45Y/jV16lTNyxUWFiImJgYfffSR5LJ9+OGHMXnyZCm/ViAQuA5CtBUIKphoSxljardf2TptS1+0pb/f19fDYaJtQIA3Bg1qKH0XlO5o//bL2/H3mb+RlJXkkNsY3KQ/6p4cjtSdtVGzpj+aNKlaongEZxNtcwpysPzMciw5vQTzTsyTsm0F2hQUFOLmTVbiERKivT318tJJwi0hishcGBISrhxigiUVTVVvggrH6N+At1KANvcDVeoaCn8kflLBGAmUjQdZvh7KKPWU308JscB1K12nxcREYIvsDEw5Awz8RLlQJhv/d5jARs5W+nt5REJxb4+LtiRyTu8JzJtgepnaHeE/6TdkewSbirbkxO3/IdDxUcWVq49cYHEKcXHJ2LIlXr/I3rF9GLD+feB2AQ669cHr61ia7fHjyRolZMU0B2i5rCnjmIrttn9r9dV4eur0+7jWOG1//nmf9N1bl48e4bLDuMlgdOnCFhDO3wzAtds1WTHe6bXWLwQYky4/9iROOyDyw9lEW9onsxdzYuPR5eP1eH/FMZPf3corQMz7a9D2g7XIzqs4OfxUKJaamqr/evXVVzUvV6NGDUngVRMVFYX4ePa+DQtjiyGJibLLW4Z+5r8TCATlHyHaCgQVABpdO3fupj4awZ47U7Y6bWmntrglTvaA/na1E4OccOHhZvLHBOWKb/Z9g9e2voa4FHbA6QhmzBiG8e95o+4ny/Dm9jdK5LR1tkxbdaHbp7s/xa9Hfi3T++PMkGDLTT1aJWTGUTR0+Rs3lOIyQQWE3JKXD5ien5kMTOsGfFqPCT8VFSquIjFKnbVKxP3DvtdqB/gbjuiaQPsmXLwj1KftiKHA5s/ut86TnXHyX+DwQsUd7EhXJL9uEm15LICflYvZlEmrLmnjGbUa+zwxMcxJe/lyumUhs819wGM7mPvWyGX74IOt4UaP0aRlQOencbbZu7gtO4WPHbtmMlFQrHgEA9H2kqFoS8V2F7bbFINFf6sl92VGRi5mzz4snZ7U5jS8bsvb6JqtVcWyblgTH2Uan2FxIUBjn5IWM8b+yYTyCopatLUnadl5uHTzFm5kmW4/3VXHMwUVyGnr7++PgIAA/Ze3t7YRpEuXLoiLM9znPXnyJCIjI/WlZCTOrlu3Tv97iluIjY1Fp06qrHWBQFCuEaKtQFABILcEb/4tC3erltO2LKIROKGhiguiVq0AyZkhKL/MODwDz298HsdTjtut+EKLW/m3EFbHE8NG10FqQQpSc1KLfR1qgc/ZMm2NHze1iCvQzrO1FI9gWkYm3LYVmt+HAtN7ABfJVaqCj3tTLidlux76C8h1rgUbu0Ij9t6BrNhLLXTx3NiiUAu1VuaYFheLo+yrXwUWPQjE/mRS6GV3GvQDmo0CvANUTlsr941IQG2mimEKNl/A2aaNUnxlkGtrTFAEEBoNePogL68Av/9+UDrb09MdEye2UJyid7yPJtGKS08RbdVO2+CSO20TDxsW3FkJz5TNzs7X5/FqMX/+EUm4JT7qt1tZXHBzk6Zp6tZlU1jTN8t/66k1hlnNKtRiuKbTtlIwEDUUaDocFRW+D0ELBf+c/QfPbXgOi08tLvH1FhSyx9xDjhsyK9rKl3MlnnvuOezcuVOKRzh9+jTmzJmD6dOn44knntA/F88++yw++OADqbTs8OHDmDRpEmrWrIm77rqrrO++QCCwE4YzxAKBoFxy+LAyLt68eemXf6ldZ+RsLSy8jY4dHeOgsQa10zYyko0vC8ov+5P2Y9PFTQ4XG7/e9zVmH5+N6r7Vbb4dWiCoUsUHN25kO108QkFhgUlWmsBynm1Roq269JEiatq2rZgFNC4PlUldlQWmY0uAWnIhl1qEorxWGvUmR+XDm4CarVBh+EsuZRwwFej1OtD3HeaapZzVc5vZ75oMse66+k8FfujgYKetBVckiXYB8vvUwwfo8BgcxoCPlNOH5rPvfnJBmTWMmM5eXxe2KbEUGrRpo2x3KCJh8GDZDW2BFStOIimJLSxOHBmOaje2AZXby1m8zElLBYxkCODxCDzTluKhLG0XLeYZqzNtr5ZMtOW5tsZ9Cpzp0/cpN9VrGqqmLQD6vK0/j9y2NKW2O0EWoGmhlkr3fFgpqbnXVD3vc8CaWUCNFobCegWHi7Y6Nx3OpJ7B2vi1qFap5AYNLsbqyM1vhE4l5NKxhavRrl07LFmyRIpPeO+99yRn7VdffYUJE5S4lJdeegmZmZlS3u3NmzfRtWtXrF69Gj4+oixZIKgoCNFWIChDaAfk8OFENGwYgkqV5NE9GzhyRC3aOtA1UgTh4QGYPXsEDh68ihdf7Fxm94OPztk7z1ZQNhiLp45y2vLr9ZTHaG29Hcq1JdHW2eIRhNPWVqdtJSudtqKMrMJCJVbtHwF2TQNyjMbP0y4pAqTOC4hPZtEBFUm0pQgEin644wNWKsUh4bbvu8DVQ0DVBtZdF8Ur6LyBghyHibYUE2DWFTliGsqE4jptOTfOW4xHMHba7tunyrXVYu/vwMXdWDObjVcTzwzOAOaMBsLbAJPX6xcgGzYMlgRbmuYiV2t8fKp+u1fsGC4q6Bv4GRDalP1ckAckHS+xaEsO2EaNTIVw2g/dtYu9N1u1CkPT3r0Btz4Gl+naNQJ//nkIWXmeyIEvvHELyEgyI9oqr6mwnAPAtq/YQgUXbU+vY4s7Ee0d9rp2pngEEm7V55WEfItOW/Xtu55oSwwZMkT6Mge9F0nQpS+BQFAxEfEIAkEZ8v77m9Cq1TS0bPmT3vFQUqdts2Zl57Qlxo1rhqlT+yIoyMcpnLZCtC3/lJbYyG/HQ84RtPV2eEkKjW3m5OTD1cRvV3baChxAfg7LIT2yGMgvw8xYErTUWa4mTttaLDpAXdJVUR5/ntVrLGaRmN35SeYItRZyIpNgS7mY/orYaE+4wObtrSvTfRGJgnwgN5NlHxdXtM3LVhYFLIi2FFXAy1ENysi0OLII2P8Hss+yuICIiAA0CzzLflfbMAOTx1zl5BRg48bzKCi4bVueLUGxDB0eBup0Ud4j9Lqi6IigSJsX5s1l+PICMmLy5BhNkVnJtQWu58iO7AzDQidjp62npxv8tr2vRINwIZHK1BbeD5zbgopKs6rNMLDOQNQLrKd/PO2xH8EdtGpXLYduhz91FSnTViAQCIqDEG0FgjIsD/vmm136kbMRI+bbLPCQW5fw9/cScQCS41cZh+SZZYLyS2mJjfx2PN2Z09ZSwUl5LCMTTlvrSUlRnLaWisjUuY4i09ZB7PgOmDOGCSI8R7U04dsBc4IsH/em8W99SVcFEm1pXJzjJTsclz4BfNsGuKwUWVlNmpy5StsjXg5mZ7jARtEIZVXMKrHzJ+D9EGDFc0DMJKDnq1IJltUk7FROVzIfq0CxVK1bs1zWixfTLJsA5Ndoo2A2GdCtWyTcE2LZ72p3NLhoVJRS0vb333GaEwY2o45GKOZzZOy0NYZybGfNYnm9NMU2YYK2k5dEaS7qv76hO26P/h2o1tjiQkBkuHoR4DZw/TQ7mX5FyQSuoIxpPAaf9vgUvWv3dojTVku0lc7nArFYZxYIBC6KEG0FgjJizZozBsLAtm0JePTRlcUWisjNd+FCqt5lW6YHKE7CmDFNpWxfypccOTK6rO+OoJw5bbloa+vtOKtoG145HBvHbMS3vb+VfhZO25LHI9ABPxd1hdPWQVw9wr4H1wdIKKAj98RjtgmGtnBsKTCth9Jwn5nEslw1nbaNtN24pU3eLSY2XzkIbPyEuSttJSdNEWzddcrIPolVa94GMq8X7/pCmzEBc3gx3LkyN27cwosv/ocZM/aZv7s5+fp9K83CqNLEW15AzroONL0L6PkKUD3K+v9fpzvQ7iFgyFdFCptWl5HJr9EmVZlo26KhFyvQIyIMRVt1oezff5+0vYSMc2kvey1mpbAoAS//YkcjmGbamoq2s2cfQno6c4eTYGsu85bE7s6dWdbub7G1cdqrG+BXVdoPP3o0CenprOSMStt4Rn2dcKVwVyJ+B/ueJou2PC+5gkMRCfbajwjx80LD6pVR3d/osZUZ3jocI2NqwcdTyBYCgcA1EZm2AkEZMXeufCCq4rffDqBZs2p44YXONubZlm00grNAmaIHDz4qBOwKAi/QGt1oNNqEtkHLai0dejtB3kFoVKURIvzl4hQb4xEIZyoj07nrEOIbIj2G3/f5Hr4exSyScSGsjUfgEQkkEiUkpEkTFF5esrAlsA9cFO37NuBdGdjzK3Mu1usFTFrq+NunEegrB4C63Zng5eUH3ErRFzah1QQWnUBinCxkSIImbU+4yFmaUObuH3cBkZ2BymHAxo+AxoNtL0ziTlsuQHLX8YWtwLlNwPr3gaFfWX99Og9gGFs4Ki7ff78bn3/ORDIqO23a1HSfR+28NCkhK224O5ZEW1ugYqbBn1t1UXUZ2TvvbEKHDrW0pwRkxzgXbTuGXwIuyYsilQ2jG6KilJ9p+8axKR6BWPIoc6FPWg50eARoNxnIzy721Vhy2pLgSq8TzuOPt7N4XZRr+88/bJFl69Z4KVLr/vuXYfbsw5JovXfvwwaLr3VqGB06x+9k7y0qMSMcFPnhDOQXsmlActm6wX7xCJO715O+zPHZaMfs8wkEAkF5QSxZCQRlQFZWHpYuPaF3av3xx3D976ZMWYNVq04VOxqhrEvInA0h2FYc+EFB55qdMbjeYNTyr+Xw21k0bBHe7yLn1tmwaMC5ds32rGpH4e/lj+61uqNdmOWDWVfGWqetelSYcvkuXFA5MB2ZMXpxrzK2X9FRO1mJWu3Z94u7WV6o1tj1LTOuZzo/8aj1t00Zuif/Y6epdOjJ3cDDG4FglcDQ7kFg0GdASH0gqLZSssVjE0oTem3Mn8AeGyqc4qIhH0W3l2gboiodizJfkGNvjh2Ty7woQnR7gsVoBKdw2vLHn1yY57cC15SIAXszcGAD/YIhFXD16PGbQXmWsdO2fpVUeLgXoJHvKc08W6Jx4xBNg6/N8Qj8Pczf0yRKe1nevmoRGqoWbQ0/Y2lqjfc8dOpUSyohswTPtY0ISEN67AK8f/97kmDLX29UVKYWhiNCdaaibfpVdtrTz/B9UsF4ZcsraP1Ha8w9MVcfj3CbIiIEAoFA4FCEaCsQlAErVpxEZmaedHrkyCjcc08LvP12D+lnOg6nmARybBXXaVvWJWQCgSOY0X8GYu+ORY8I9h5xFOTgHVh3IOoFmXd8FDcewZmctlczr+KDnR/g2/22udxcCXV0jTVO26JybcnJVaPG53j88ZUlv3MbPwZ+6c3ay4vg0qU0PP30KixbxhYJyx3UMM+zIikzliBHq3cgkJsBJBpNrJzbDPzUFVj8iPb1zR4D/NgZuLjHutsnNyk56PyqA7XaFn15ctYO+QK4+y+gkpIHWmqQUHt2IxOPJiwEGvVn56fGmxeyiyJX3oapxajAcMMR/lJCLZ7t3y8LZUaohcqyF21lR2rGVeC3wcDPfRx2U1Wq+GLdukn6ki7aN+zWbSbOnzdaSAqoiax8L3jqCiXhttqtQ5p5toSvr6fB9o2Xu4WHGxXS2Sra2ghtk3U6N02n7Q8/WO+yJdq1qwlPT3f0rRePp8O+R8fbhu79zz7bLm1HOeHV3JUSPnKbZt9UMqwDahQ7n7c8wRe2KRphQvQE7J6wG+90fsfht5udV4DMnHwUyNm3AoFA4GoI0VYgKONohPHjm0nf33qrB/r1Y2JRfHyqFJVgDdxRQIh4BEFFxEvnhUqelRCXEod1F9YhId0xDraxTcbi0+6fSi7UkqB22jpTpu317OuYHzcfs4/PxpJTS/D3mb/L+i45vdPWw8MdlSt7Wbys2nVmLtf2/fc3S+LCjz/uMdt2bjVbv2Df1xZ9sPzSS2vx7be7MG7cIikPtNwhlVbdZu5VLoKSMBrRXnG5qdn8Gft+6l8gL9s05/UiK//EgdnW3f6Jf9j3xgMNow64y5nyXCVnr0oYa30PE0spyqG04eJR+8lARDsW4UDuX6I4DmM1je4A3roB3LtCOa/JUDbaPnIG4GH5/WFP1C5a86KtE8YjcPwcK+S3aBGKrVsf0BfS0iJS9+4zpWIuPW5uOJnC7leb+jnwGP49MPQboH5vzetURyQQJOJSFqxN8IWXPTOAb2KA/9606Wp0OndUr+5nkmlLpxcuZPm85DoeNaroTgMSpila4moGW2wNq5wllZc1acKeq5Mnr2PatL36y4cFy397QC3g6f3AlDOKG70CRyMYi7aU/e/j4aPvACgJn/8Xh35fbMLcXfGav+84dR2avv0vziWX8LNTIBAIyilCtBUIHMzly+nYt++KvmDs5s1sfX4W5XL17FlHOk07wR9+qOw0f/jhliLdtnSdXLQlR0lRY7wCQXnm1yO/4tmNz2LbpW0OvZ39SfsxePFgPLHuCTtk2jpPPEKhXL2cmZeJt7a/hY9iPyrru+T0mbbk6CoqasXQactyItVkZuZizx6lGIhEAHtxu7BAKmWaMuU/pKZmm3w+/PffGel0dnY+Dh5UonTKDTTuT+VIlBlLo9Qc7grkJUAEvb75+HlkV6BAJVQRl1TlVTVjir5t+symPFsejcBL0b7vAPzYRRGHydm74F44BVnJpuJRWIuSRyQYj7FTLu3g/wHNR6E0US94HDqUiIKCQud22pIbUx4jLw3RlufNknDLRUfKol25UikRo33QO+cMht9HT+GSb0eWcdvmXkP3tIroaMP7bHMJmdppm5EIpJwBMhTTga25tomJmVI0DfHLL/uQl8deEw891Bo+PtZVt3TpEoGrGUwEruGfhX//vQeff36H/verVp3Wnw4J8WHvL8r/Da7LnLV1ugFjZwPdnoeriLb25EpqNk4lZeBmFptANMZd/gzWeLsLBAKBSyBEW4HAgfz++wHUrfs12rSZLjmd0tJypCxbLsaOGRMtOQY47dqFY9Cghnq3Lf1/S5CjhI/xijxbQUXlm33f4I2tb+Bc6jnp54Lb1kWHFJe8wjzpKzs/G/Hp8bicYaGBuxzGIxg/bo56HCuS09aahTC1iHH2rGmm7Y4dF5GfX4jm1a+hslcuTp0qoWhLo+8yzz4wEw899Df+978dkptXDeUxqp3e6vzzckO1RsCD/wIPrDI8n+dvktOWu16pmZ7EIO8AYOISwMdohDtBduVG3wnETCz6ti/vB9IvA16VWQkZ4VsFuHYCSI5j0Q3GebtEVgpwZDGw30o3rz3JTDYVB8Oal1y0dQJu3cqTBEd1N4DWAohTOW1JbIoaqvzsZ+hadRS1agXgs8/66X/eu1eOGKF1hlPXEZ8agKw8TzRqZOQEtsJpa3OerfH7RP3atAGea0vbVtoPpu/cEUsP+yOPWBFnIjN5cgxu6dh2PMz/Frp2DpcygrUixzwb9wFeOAFMWqacSbEIlO1sxq1cUeDmExJtY6/E4rUtr0mTOyWFi+4eZhzcimgr4hEEAoFrIkRbgcABkPvjxRf/w333LdMLtH/9dRRt206XRlU548eb7rDybFtr3LaGJWQiGkFQMdmQsAHLzizDjewbdmsr1uKFjS8g5o8YLDm9pES346zxCFyk5eOMjnocyzvkSiVByJo8WyI83F/KRDTntN28+QKGNzmFQ4/9gWlD1uD0adPLFCtfVH7ehmz9BN/8TrXvjGXLDEuONm26YPAzORMrDOExAL2OKSv0xnl23gl5fL9hP+2RfR6loFG4pInOE2g6Amg6HPD0YecF1GSiObWo0+3qRVs5goC4eQFYeD+w9m3D66Myqj2/wqFkXjMv2pLYbAskPi+4Dzi8EGWJVqyIVkSCWrStWdMJSqHG/A70eqPUnLactm1r6k+bc/rfXWcDsOtnIN38tiE62jlFW+605a+Nb7+NlVzFxODBjVCnTpDV19W4cVUcOv0GbsMNbvQ5mZUiTVi89FJni7crRa7Qe+PLZkCu80zVOHofwg1uuJB2AX+f/Rt7rlqZD26BfFmMNRe7wb0tha5SvikQCARGCNFWILAzNKI6bNg8fP75DoPiBuLUqRQpKoGoWzcIHTqYjqO1bx+OAQNYM/OFC6mYNeug2dsSebYCV4AfKFC2rSPFRn69JRU1KQ/P19fD6Zy2xn+fcNpaU0JWtNOWpiXq1q2iz7TlbiS1ePpQDHM53t08TvocsBmvSrhwz3F0WvoGVq4zFFpIDFYLwsairfrzotxg7iDd0xcY+AlwzyLAX26Hj5PzZ5sMBlIvAUeXsMgEgr4nxCrRCpR3ywu2zEGC0uiZwJ3fKeeR46tqAyU/VstpG9JQEVDJdUtQ5uXMAcCK54DYaXAYPV8B+r0PVG2snEej24/HAg/8Z9t1kuOYHksePeFUoq3iIDWOR6A8anVUTZmiF9NLx2nLxUVy3HKnLXczkmgb5JONn4asQc/cGcA/L1osBuMxC+r4BZsJCAd6v2En0VZZHH3rrQ14/nnl9f3UU3LmdTHw9PGBG88gJsc+gHHjmiEiIsDg7c8dvuw/+QIJu4HUBODf11jGdQWmEGx7qnPX6WOD7LEfUVCE01Yn35YQbQUCgasiRFuBwM7ce+9SfWYttdv+8MMgHDv2BGJiDAsKaGfQXFaisds2L097p4jagTlaY1wCQUWgtMRGezpRudvWmTJt9X8fOQiF07bIPFsiOFh2WBYBd59lZuYhKSnTwLUbG3sRT/6jjM2ePiWPsBthLPaaY+Kkpdh5MEsfxXH33YrwsWrVKf11bdokO1BVnxdcuCk3zB0PfNkciDOKRyDaPQg06MuEE4IE3IGfAvV6Ad+1ZQ44ijHgmaxP7gHG/MGchR/VBA4vML1Oeg4OLQAKLWxjqjayLNpSARmJU8TSx5hw6+0PtLybnbfqJeDAXDgEcgV3eZqNa3MoJqJ6E5ZDawu8ZIn+hjJE7aC1xmkbGupne2GWvUmXxWVeplfKbluK5uKxLCdPpuBWngceaaOKy6gh5x5rEBDgrRd/S5xp6+ENRMp50PQeqWT7dakdr0uWKC7yV1/tijvuqG/blVYONRBtPT11eP75Tgaf6x4HfgNm3KEsvvB87b2/AdeV7NuKSMuqLdGzVk+EVQqDTs5qtvZzyxL58uKazlw8gny+iEcQCASuihBtBQI7QuIqH1ENDPTGf/9NxGOPtZOKarZtewCPPdZW78R74IHWZq+nY8da6N+f7XSeP38Ts2drZ9Fx5xTt0BiPsAkEZQ7tzFPOJGU/mmuG56PNFigoLJ2xfn69Hu4eJRaHea4tZaM6i1DGi8jUj6M9Drgqap4tYW25o2EZGYvxIHbvvoScnAIkpPkjv5AdeKZfSTB43CmLsX//P1GjxudSlIIlcnLysWULNWzfxvzx63Bpym94/WlFoFi9+ozeTUcFPWpIUD53Trlv5QIpgiAekF32FgmqDXR4hAlBtdqaFpVVrg5ED2O/p/e2Vsbr+veBxQ8Bix4y7/Llou01M6KtdBnZbXtyNTBvAruuHi8BHR9n5y97HDj+N2yCbjOF5XuXCk4j2ioFY2rRVv1eomgqvmhS5nm2nFWvAMeXs0Ky2h1K9abbtq1hEpFA24acArWA78aiQCxA+6REcLBvsWIHNOHvuxK4bE1iCmTef78XPvqoj+1XSi5gWtjh5X1SoVmM9HcT0n52ylnm2ufvfS7aEurFkgrIY60ew7d9vkX7Gu2liAS1+7YkcDHWnGjLzxdOW4FA4KoI0VYgcNDBfvfukejdu67+Z2qx/eGHwTh69HEcP/5EkSNmb74pF58AWLDgmMnv6eCEimYIui5fX8s73QJBqRP7E/Bzb2DL56a/K8gHfu4D/NAZuJlgndNWPrDkIm55cNqSYHvjhrJdKEtiQmOweuRq/NDnB/15wm1r2WlrTaatcc4jRSQYRhTcRn6hTir/IWr6Jhu4BskR+99/ZySRdeLEJcjMzDV7O6nrfsDiMcswKvoU2tW+Ac/Mi4jyO6PP7tyw4Zzk7lVHIwQF+ZTPiAQ6QKexYy7IahG3GljzlhJDwInoaJhjq4YLMsai7fltyraKisfMTMLoBdmLu4A8WRjnzlpjYZdKzO74gF0Xfd3xIdDqHpZLvPAB4MwGFIv4WJafOa2HabwDPQYn/wOuHDL9f+c2A4sfBrZ9g2KTk+YUoq06HoHHz1CUCc8xJUiw5YtkNWqYinplgpef4gwPb1OqN22ca0sCN8+0LZAXkawpz/r88zswZUpnLF48Bl5ezGFpM5QDS47j6tF2FW3pPr7xhrLfbBNNBrGFncqKCaJyZS+sWjUBzz3XET/+OFjJrqX3NlGjlfL/K8tRLS4AlZHZa/IpxM8b4UG+qOytPQ3Qs1E1DG5eA4G+VizeCQQCQQVEiLYCgR1Rlw6Zy1KjlfratQOLvK7OnSOkghti/fpzUnOyGsoupINzQuTZCpyS1a+w7xunmv7u6iHWzE6ixw5VZqQG/KBgWP1heKvTW+heq4QHZmbgAmYlz0qo7V8b4ZVNM6etRf3+d5ZcWx8PH+lvahDUAP/r8T982fNLsxEtrkxJnbZ8MY0g5+zbPXbgwCOzUK9KKrtslVT9qDLBc86J+PhUvP/+ZrO3U3BuJ4ZHnUG9Kjdx2aOpdJ5b/E4MGMDctrdukWB73kC0feCBVprllU5PdiqQm6EtinLWvAls+xr4tC6wb5bijq1tJNoumgxs/AS4dUNx+CUeUTJvCcptJVqMA9reb/5+VWsChDZn19P3XaDLM0pRGaftg0DUUGDCQqCWSqijmIahXwNRw4CCXObCvViMIh9JxL4N5KQqgjaHROg5o5lL2BhaGDs0Hzj1XwmctsqIfFmgXujo1auuZq6t+jJOI9rynNSs0s87bdNGLdpekR6fjAy2KDTlxAtAs1HA8KIzlmmf9dNP+6FHjzolv1P03qQvS+8xK+jUKULan6bJNRJT1TEG9oa6Jr74oj/L983JMBTjydXf8Qmg95vaBYgVXLS1x7TOJ6NaYNsrvTG0pfJ6VfPunc3w/YQYNKjuJO9pgUAgKGWEaCsQlLJoay0kpgwaxBw9JM5u2GA4Ri5KyARODRUBqeEHOhy1A47EFhJTihBT24W1w+hGoxEVEgVHwB28jao0wsoRKzFzwMwSxyM4W64tdyz3r9MffSP76g+8BOaKyKxz2rZqpTispk3bK7mrKS5n+/YEdI+8hJZhSo5t3aBUg8KwffsMczmpxPLoUTOO2DQ2kkuu3YxgWQxMING2gSrX9rQ+z9bPzxP33aeItocOlSOnLR8/JtHLy8znqXo0ee/viju2VjuAXts3L7CioMN/AZs+AchFT0VhOm8mCN+QYwZIeDixkp1uNsLy/aoeBTy2FRj9G9D1WaDfexqXaQKM/ROI1BCSKFt25C/M4RgYDvgXY6S6+SjDeBlry664UE2LZcUVWZzQaTtoUAPNXFt1hILTxCP4ynECF7YbLhKUArQfyuMMaHHo+HFlQel2eDtg1AwDV2mpQO/ZcbPNu+ethBy/hw8/hsTEF/Hoo3Icij22ObR4c3qt+cvonbayaEvbnAEfAd1fREXngX8fQMwfMVgXv06/7yCmdQQCgcDxiKM1gcBBoq1atLEVLtoSvNxMyzElSsjszI0LRY7sC4qAN7kTExaZZuapsybv/gvwMZ+Tt3jYYmwYswH1g2wsFylGfACVbIRWkstISoD6/a/eLpQlJ2+cxOd7PsdfcX+V9V0pR0Vk1om2kZFBmDixhV70/eCDzZJIknMrGx1rMSfgnqjvUePzh/Hupk44dUot2ipOQZ5x+/jj/2g6mLyzmUAVn+oPj3qd2ZlXD6Nfj1Cp+JL4449DuHQpXT+xERVVDd7euvLntDWXF6umtkoUbTLYsHwrtBk7ve0rpWyJSsJINA2NNoxIuLyfOf89/YC6ShGow6BCJhJ171/FhFviwg5WuGb8tX+28lgQ9Xqy7+lGJVzcyelXVdsdTIJ1toZDtyj4gluZZ9qy+0Gv83796psRbZ3QaStnf0plZGUgcLVrx9yLWVl5+s4FolEj2QFcjqE+B4ovsBskrFOBIbn3zcHd/zwewYXIK8hDXiGb+qNF381jN+OrXvL21cHQ56HI4BcIBK6KjVWyAoHA0U5bok+fuvD0dEdeXiFWrjyFb7+9rR9njo1VnIzNm5dcZBKo8ta+ljMP37jmUuNudoW71siF1rCv4e9ox5s7be9fbepGIzfSrulAm/ukseMgWdC9kHYBl9IvoUblGqgbqIzH2otnYp6x23U5YzzCudRz+O3ob4ipHoMA7wCpmKxfZD99VrDA9ngE4sMPe2PhwmNSRMG33+6SxpBbhyWhkmc+st38Edx2IK5msKIwLtqmpyut7i1ahEp5tlRkRrEKs2YdxL33qvISCwsQgGS90zasYUPgfKTkJg1KPySNC2/dGm/gFO7RIxIeHu5o2rS6JA7T7VLUTrnIQOfiYmCE+cuonbZq0Vb6XSfmLD2xQvlZ7TwloZZE26Z3Kdsr2lYZRx2YI/EYiw4gAdgWQZOcetytR1A2L+XkalGlLjBpGVAlEvCXR4hJZLbWaUufYyTcJh4Grh4pnsvxhRNMqCJBuwzhLtrq1f2kHP+AAG+kpeUYxSM4o9NWiU6RFgxKGcq15b0I8+cfrVCird2hskIiI8l6p60LwV217nCHt85b+rIHUxYcRFxiOl4dGIVO9U1fl0O+3YIjl9Lw+wPt0aORKF0WCASuh3DaCgROLNr6+3tLhWbE+fM3ERfHDu7j4pLx77/s4J9yb9UlOIISUshygtWjyAIbaPsAy8trMsT0d7TjT7mOnZ8GarY2FGtJ0P3nRWD1y8B8uXVdZuHJhXhk7SNYfGqxQ+/6lYwrGLV8FCb+M7HERWTOFI/AD7ho4WfKpil4ecvLyMp3DkG5RJDgdnih6bi4XURb65y2REREIF54gQmDtNA2ffo+dK3N7lNejXaoHVlFWoQjeDzCwYOJ+pd4p0618P33g/TX9+KLa3DzZrZyAxlJ8HArQH6hG66k+0nuXr0Qqcq1VdOzZx2DCB0qaVJn7jo1JHZFdLDcMk9iZo+XgZ6vAtUaG/6u1Xhg5AwlU1Qt8JJbtcVYoKYsinMnq9b2Sgsq9PqxE/DrHSzexR5QpEJ4W+0vcgnzKBPeUG/stLUk2hpEJBgVsBWFuw7wCSwTwVFdvEolY1yMJYcljyShIjLujndKp23Dfqx8brBGIWcpl5Hxx5AQoq0GlWUDRIaFiQQPH+aydWXR1s6xSqeSMnDoYioyclT73yrcZLc6LxkUCAQCV0M4bQUCJxZteUTCunXn9BEJVITw5ZdKHugzz3SATifWX+wGOabIkXTtBHDjPBBcr6zvUfmEGpjpqyAfOPkvkBAL9HyNHfiTCEAtzfRFZKcBmz8DTq1hB7h7ZrCR0lZ3S3lxn+z6RBrJ42N59mgrtkR+YT7ibsShkkclO2XaOocwyh83D3flo9/Rj2WpQK8dck2OmwMEaBeZ2BqPUBynLfHSS13w88/7kJjIxJGutdlEROXoHnBzK8QPw2MRdPsqHvtviDTqqY5GiImpgf79G2D06GjJGUefJ6tWncL48c0NhMVLaZURFOzHxoIjOwOJR6U29oEDG+KNNzbor8/X1wPt2oWb5J5THrq6oMhpofxWdYarFjR50us17d/RghBtvxfJURQRKtG22Uj2xRkxDej3rvWOWYpf4FiKbygOw7617nKUgesbDKjexxKZcm6yX4h50fagnGtbzqD3QkHBbQMxtnXrMMmRziMS+vatZyTaOonTlj7v7vq+zG6etivG0LYhPLxsi+WcWrSljP38HBZjYsz9sivfBeH7CyTaxqXESVFL4f7heKDZAyW63kJ55dLDXbsYlRZppNsXoq1AIHBRSqT0fPzxx5Jj59lnn7V4uQULFqBJkybw8fFB8+bN8c8/qqxDgX25dhLIUrLyBBVDtOWQaEtOid9/Pyg7cb3w8MOqZmqBfagiNySnyCU1AtshRwY1t2/5nLW1a6HzAg7OA64dB7Z/w84b+hVzjG37GotOLsT8uPnIzs9WCsPIZXYz3rr7QOOM15QsP3OM+XsMWv/RGrFXY0tcsKF22jpLpi0vWvNw81CcK85aIpJ5HUg5a91lk06w7/PuZosEJYTHC5AoSmU3xZ2OeP/9XvJPt/WirRs5YnUeGNdwD0ZFn0Ko13VcvpxuItoSPBuXOHpUccUWZF5HVp6HFI0guWyJNveyUqwOD0vOQxod51BcAr//FL3AcYpcW8pWTT7t+NuhEjLcZo5c/yJihPzDrHfPVW1kf9HWWto9BLx8Dhgw1Yxoa8FpS9tjigCyFtrOUsbnP1PgLCVkYWGKaMvhEQk8HoG0/NBQ13NCahEU5IOGDYMNzmvYMEQvhAlUUBQTZT+rnesCPbdpWyqLtpczLuOvk39JpWQlJV9ekNGZeU3Kce16cVcgEAhcDZtF2927d2PatGlo0UI5uNBi+/btGD9+PB588EHs378fd911l/R15IiZg3eB7dAB0PftgB802ooF5Va0bdw4BHXrsgN0cpV88slWZGczYWLy5BgEBlqZvyewjuRTLKeQIKetoHiQO4Wcj+T+ox1sd3egdgf2O55ju+MH4Mx6dlmCMiQ7Pa5cB+XgUp7tv69LOY8FcmSFp3wwJf38S1+2rbOmMG75U8D37S03QtMIe2Ge5LLVuelKLGg6Y6aterSR/41cyHUq6HUzaxh7fq+fKfqyarfw9dN2i0ewtoTMmAceaC05W/0887DqVF2kuNfWj+GngAmz9aqkSvmyXLSl3FleKBkdrYhux48nK/qjT0f4ffQUBsweoW+EV0MizIABDQzybLVyzw8dspDXWFosegj4rg1wcY/5y9jjtZl2iYkwxtEJ/PppodvaxQE1IcpiKgJKWbSVc+1N6PI0cMcHQJiZ/XKKh3j1EjCxGPEyJFwdXQIcW4ayRCv2oHVrxUG6a9dlKUOaFkL49tfTs3gLLhUZdUQCIaIRzED7K/pcWydY3HJSpy0ZtnhEAmXjl/h6Cy2Ltu7yNk+ItgKBwFWxSbTNyMjAhAkT8PPPP6NKFctZml9//TUGDBiAKVOmICoqCu+//z5iYmLw3Xff2XqfBeaQXWjIuGqQAykofdGW2o3tJabSzhF321JO4hdf7NTfxjPPqMY9BfZhyxfAhW3stBBti8+5zcD6D4A/RyrbIZ4lGb+DucH+fRX4Y7hS6EG0m8zGlft/BHSRC8Fk8YEfKPDCrEKKSaCSIirH4c5cSxxZxL5v+swqUVN/OyUQbcndRO9RZ8q05Y8jCbb6Ay5ndNrSfSJXNn2mHfrL8mXpNVCQq/xc3LxO45u+fVvvtC1Onq0aiqv58cfB0Pn646UdI5H3yA79mG2uHxP46gfflByvPF+2adNq8PFh4+4kyHp7M8FJnT974cJNKTYkK88TkZGBhjeanyuN9N57b0v5Prhh5Mgo/a/JdcgjO8rcaUtu6FP/sdOb/2f+Mh/WAL5sVrLpIdr2NLwD6Pe+6e8WT2YL3d+0BmbdqSwiWUPlakC3F1gud1EO3tKCitg6PwUEmylppO2aVzEXk/kCpi1Fa3ZEq2AsKqqq/n1CBYD+/lOlfFv1ZQSMdu2MRVtD563AyjIy2i79OhD4cxSQoywkuAotqrZAh7AOCPIOUvYhUPJ9iHxZ+NUVGY9Q4psSCAQC1xFtn3jiCQwePBh9+xo1gmuwY8cOk8v1799fOl9gZ0JUJSTZdHAnKCvRlnIQ7Tl6po5I4Iwd2wy1axsduAvs11hOCNG2+PCm9saDmGuFUJUl6d221aKASqoDR+/KwKhfgU5PmBTnFMgjedxpW0gHCxOXsMvs/9OyqKMWYkZRVq4Voi139JYg75Xe/9xt6yzxCAZOW8pZdNZMW7pvQ75kp4twR5uMsJYwr5Pa6PPzC23Ks1XTpUttxMc/i4SE5xAaqhQi6arW0zttlyw5oc/pVOdOkuhL2eW8sCw3t0BfRskxcNpu/w74qKa0WNK7d13s3fswDh9+DE2bVjdY/ONuW8rbVRcSlT63gZbj2ckk2ZFvTPoVoCCHjefTyLKtkMN2/BygWiON3ymiNm7d1M6vtESft4A7NMRgR0OP1x8jgO/aA+kOFuCdRLTVikcgJ2379iyz2RjjOABXx9hp27gx274INKDs/bF/AjVjtBcJ47cDp9ewWCcX453O7+CX/r8gOiTargu/PKrWXKatTnbaFghDkkAgcFGKLdrOmzcP+/btw9SpRllaZrh69SpCQw1dCPQznW+OnJwcpKWl6b/S05UVdoEFPH1Z2zKRpuTkCUoPLs7YKxpB3QDOXVgc3lIusDM0TstzAa1tEnd1rhxkJWL0deIfxfWlLgQiIZSmAA7NY+fxyARLhDU38HAYiKn1ejEnbl4WsGu6+evgo8/eAUCA9gE+R+/olW+H8tvIeWkrfDtA8QgluR570b9OfywethgvtX/JuZ22XPQnLu2x/HnGczzt5LTl0Qh6py0t3GTYlm0YmHMeXkZdUZUjmHhYLygVmzaxEiXjfE51RAIJyCTcEjHn3sSSscsQXS3Z0GlL5TnkPpf/dhKAo6JMc00pssHdrRAtQ5Nw+JD5fTADKObE3o4ycnwO/py1sFMuddIx08vIpWtSsRxf/LE38qKQRHna1pOAQc9LcpzyeUXPERU+UiGfJeJWA7/0sz6j1klEW614BOKHHwbjnntaYODABujTpy66d4/EXXc1wbvv9iyje+qcUJSEOlVDxCNYoNEdQNRQbQc9nw6ifQQP1xNt1dhzHyLA1xPBfl7w8tDe1reqHYRejauhWuViLqwJBAJBBcHocMIyCQkJeOaZZ7BmzRqpVMxRkCD87rvvOuz6KyxHFrPGUyL9MhAaXdb3yKW4dSsPmZl5DhFtK1XyRK9edbBqFctrJDeVViOwoITQiFaqfBD80DqgipIJKbDA1i9Z7iGHBNI63QwXlEi4vbgLOP63ofvWEmHNoPaBdq7ZGWGVQlH/xmUmxnZ9Flj4ABD7ExsL1ioRSj7JvldtaD4LUoYffHjpvFDNt5p0UEJCLhV32V5Gdk3KoKZtAxVblSWB3oHSF/FmxzelvzfYx8kcaSTWHZjLRP9a7YCLu4G4f4B2DxbhtKXn9jYTLkkgL+K5NgePRiAiq+YBX7O4AbyTWrwrInFs7ljmEn3+uH4sPbh+NLCTxSMUqpqwjbfnNPrNOX78miTi1inYh+ZNMvDmhs6GTlsuPl49wrZhZkROKiN7s/tOvNNzJ9bsrQr0LWI/69wW4PchQN0ewL3LYVfovUoLLydXASdWAqFNtUXbwAg4DAPRVl4kKC8E1GCLYOREJlLOAHPGAJXDgBctlC6SuE/bYR6nVRQ5aco23cmctgTlQP9BUTsCi9BnDy3k8LgV4US2ES7aWltYWIGxp2i77IkuFn//8oAmJb4NgUAgKM8Uy76wd+9eJCUlSZm0Hh4e0temTZvwzTffSKcLCkzHLMPCwpCYaDi+RT/T+eZ49dVXkZqaqv86dkzDhSEwhYQLDt+RF5QaaoeWvUVbYty4ZvrTr7xieQdHYCNZyWwklwQgcngJrKNKHaBGK/ZF4iwViRm7UHiurbmftfAJRGFQbf2PLaq1wMSaPdB57VRWLEZZldQKT4tV+2ZpXwcXbS/tBRY/LLfJa8MPPiivbf2Y9Vg7ei083G0TbAmeIepMubacwfUGY2j9oajspQggTsHxFcCGD5gTkLu1SdQzBwm74+cB42YDVK5G7+ESfP5dv65EWURVUTl8i5N3en4bsOBe+UqGGOSI6qqyvNGwynQ7TLQlfbllS22nLSEJLbmZ8Ncx4So+NQCRkSrRNqQBc63mZQI3zpm9W82bVZMEW6J3lhVZ0Htnsu/nNtk3J59yiknUrtvNMFJFTRoXbR1Y8hUYDvR4mWXTVi9ni9z+NZUFevXiBU2IWCNUXzvBcpDLpdNW5NXawlNPtZeyrsePb1ai6JcKT9plZoIh57pWPIILi7ajlo9Cl7ldcCT5iPNP6wgEAkEFolhHo3369MHhw4ajh/fffz+aNGmCl19+GTqdaVNrp06dsG7dOjz77LP688ipS+ebw9vbW/riUESCwAq4M4UQ8Qiljjq3smpV2wpsLDFxYgupYZwKjvr1U+UXC+yfZ+tfgwlA9D6i3DI/MUpokb7vsC9LtJ/MCnJWPMce3yDrXMyeoc3x75nVKOj2Evw8/YB4OX6BBGISEqi0bMWzQEIs0PEx0yugsWF6Dqms6tB8ILQZENFO87ZaV2+N2tm1UdnTPkKmevGGtg9161ou7nQ0+5P2Y8flHWgS3AS9a/eGU8IFPBJsG/YD1r7Dyu2yUyURX7M0pvFAdppEfE8fIF9ZQCvJ4luVAHcgUxXDQCJfUdB4+pyxzMnYsD8w5CvD3wdG4N6DU/HHUiq5cdPnSxq7sNXxBseOJesnAFKzvSTXI30O6NF5MNHx8j6W6avOt1fRrLoS85BX6A6dBVeuhKf8+m06AnaDxN/VrzJx/e6/gKhhLJrA2B2dWgqiLdHrNZRL/MMM9/V4TEhRn1W03SXXLDloaUErTFkMtizaBjhFERm97o2jogTW8eijbaX9SD8/1x7rLxKa7lh4PxDRAWjU3/B3Lu60Tc9NR1pumhT3RIvo/478Vx8nJRAIBALHUaw9H39/fzRrZriD5+fnh5CQEP35kyZNQnh4uD7zluIUevTogc8//1wqL6NM3D179mD6dAsZhILiU5DHijsI+gClgzhBGYq29ncxUJHM3XerxjkF9kctFPz9FCu5orIZcmIJDCksADZ8CNTvw1yzcrGVWcgxS2U/BF3eyvF1954vo2aPKVJpUHJ2ChLOrEKgpwfqcacuFRpVawJEmlkI7Pcuew43fARs+Z/FzNNPun/CxKNrccyFVsLMOkOnbdmXke1L3IcfD/6IO+vfiUqelXAr7xbahLVBgFfZCjJ6qFDuwnZlXJ0c3F2fZ68XDysWwu6W85JLgNppW71SpiLaFuYX/Z+vnQT+HAnkpgORXYExv7P8VjXuOgTXqYfbUARUraibBtVvoUbALVxJ85XiEQpvJkijUfGp/obRCGoHpSTaHgaaao+L+55XnGM+unxkxh+BX50W5v+eDHlKql4Pm+MmNK+TBFtyaVGEirEoUtqibXmF4hEI7iq31mlLzyO9Vi5sY6+VokTbnq8CnZ603/NfwngEdTSCoPgIwdYKKCNcvf1T4+KibaHcMkAuW2+dN2pWts9E2n0zd+FWbgG+GNsK4UGmn/VPztmHtccT8e6wphjbTpm+EggEAlfB7spefHw83FXOjc6dO2POnDl444038Nprr6Fhw4ZYunSpifgrKCEk2NKICjnKXk90XHGHoMxEW0EpQG41Gu33DWYjckSK+XFjl+biHmDL58CuX4App4sWbQlyxZIbsjjUkDNFAaw9sxQfpu9F3ypB+JJn4pKz0pxgy6H7FtHeuqKqfbOQ9/fTeKBJDAr9a2L6HdOZw9fmTFvniUfgY4w6dx3e3PYmrmZexbwh89A0xChPtKygcVQqgyM3NAm2RN+3Lf8fKr+jxQAqtlNFadiKOtM22Ft2Gba+x7p86yUPA1nXmQt8/FyW5axBgwaGeZIxMUZxUbduwuuXrlgxMRBtvh+JEyeSpT60EH00gobjWJ9ra+H1HdoMR3Jb4VL8DXyyrR1eaa/DHfLDrAnf9vHnwh7w+xfS0CA2woTqUex5pSxqgSk0rWAQj5BsnWhLqEVbjC962+mrsUhQiqSn5+j7AtQlZAKBQ6DpDSIjyXQCgDKhaQLB2WKFSolCms5Q5dnai73nbyA9Jx+5+dpRC3kFhcjOK0RuQdkXugoEAkG5FG03btxo8Wdi9OjR0pfAgeiblsOFYFtGCNG2AkACQdVn2OmD89l3UksEpsStVJqWrXWkkgBQlLPLiKy8LPxw4AdpMbCWFxO7Csxl4haQG/K2qbtRLWrRSHDeLbOCGv5+WhpaP5CTDOQkI4+mGDxL7rRVbx/KCipV4wdcOor/oPPIMe2M0QjWsuM74OxGYPh0JtrSQSXlodoo4KrjEXIpQqJ5XeuEQ4pvuHKQnSbB1se8e7lL8EH8NepvrD0Xiel7W5g6bSliITsVYf4UE+WGnJwCXDx6jIm2af6oU09DRKNFCXLY1ulq/j5GDcGJmHoYPXWB9GP7zVdwxyAzgj09jjcvsNOHFrCSs85PosRQfINxCVjyafbcx0wCKsmCdlFxK64OZa5XClHEI71oqxTYmUUv8MvPhZMj8mwFpYqfLNrmZbEMW3Wec9RQ4HUyybimeKh22tKi75/H/pRy8R9t+WiJrjdfLuX0cNd29Ovk89XlnQKBQOBKCHWvoiBGCcsctZNOiLYVAO4uuyELFwIFOmChwqjiCmw2kJWfhd+P/Y6ZR2ZCR1lztONOQoWxOLHsCeDj2sCZDYaFUD91A/57gznTSOQg4TLpuOZt9VvQD51r18IlDw+TgxRbUG8HnCEeQe+0ddM5X4lIbhZwep32a+ryAZZtG89KtAxQi1UknNJr4KsWLMu4hKKtT902QIdHgPq9iz5Ip7zdl88D964ossSwduVkjG56Ct1rs8/tVq2MnLaJR6RvKZ5KNu35M0nIyvMw77QlR/ro34B2D1m87e7dFcfwhg0WFqSybyp/x4E/lVIyc5xeC3xYA3gnENj9S9FOW7Vo+9ckYO3bwKn/LN+GQIFeky+dBcb+YRiPUMlK0TYwwrr9xU2fAcufVhYkyjAagQgLc82xdEEp4l1ZWQwht60WZRwXUlbw/QXaf7iefV3aN1t0alGJr7dAFmO5OGuMu/x4F7qoWC4QCARCtC1v5GUD18+YL1CisogZ/YGvW8quM0FpIZy2FYDzW4Erh9j7jIu25NqzpmXblSC3asoZFsfSoG/pHCTcvg2dLOoVaI3r0r58XiaQoBL2ko4xNxltM3mWo4UR8vTcVKTr3CWnrZt8cFASUdPZ4hE0nbbyeWVOchzg7sHEpDCjnNW9vwFbv2RFcsaoszxJOKUDbnox0HNfwkxbqWF9yxfAJ3WZaFwUdPt1uxV5scC6UdL3elVSUbduEKpUMXJ9y6/PgmpN4elegHpVbuKBOTHw++gp/G97G+1M26I4uhS4mYDq1f3QtGk1DGt8GuOrzEH65Xjty5Pj9ZmDwAtx7Gd6D1kSwm/GM2casfFjlnltrWjLRfqDc4Ez61nkhZmFFYGFosc7PmTlSUVBAv9zR4DhPxV92bh/gH2/l2m5LS8hI4TTVlC6EQkaubYujFq0pX/q80pCwW3rRFsu7goEAoGrIUTb8sbKF4BvY1ibtprWE5nDhwp7yI1GI92ZZlaIBQ4hOfmWplgjKEcsuA+Y1o2JkrTTTuVHtEPKF0UEhmPsdXsYjg468iCBdugp55LO03Iy8rgEtRuTnkeCj7eTUEQOU17eY3xbctmUe0gD6ORG5JLEBxjGIyjbh7LCqZ22NVsDL50BJi4xdTE1GaJk3hqP8FOGLMGd1yUc/eZOW3d3NwQlbwUSYoFbKYo4bAd0IXWl7w1C0vDuuz3NCpvVq3rjzNMzsHzcMtxIIUHUDfmFOkRGmhFt6fEgcZXiBowL3hY+AHzVTMrq7tmzDt7usRPPdtyL0+vl97I5/MOAymFFC+F82oegx4oyr40h0ZcvOmuJthRz8cdwYPYo4IeOwJ+jLN83gULDfiy+onoT+15vjiyYOng7b63TVmTaCsq0jGzPTGD2aODAHLgiTas2RYtqLeDr4Wu3fYjbt28X6bTVxyMIp61AIHBRhGhbnqAPKxpTJDZMNfwdCUzk8KEDXzrIIsrQGeGKCKdtOYdyTrkwQ2OjJBzpIxJEGZkBJ1aWSjSC2gnqcfs23LNusPO8/cyLtpf2Avk5RqJtI/a92wvAa5eBni9r35bksQV0Az+zywGJ5NR0Uqct//tK5LSlsr6FDwK/DrT9OtSiuIe3dn5sRDv59i4Zuj1phF8W2vVj4dYUcllRRFalig/cF94HnFzNfmFJtCVn/szBzI3LX3uWkLcr1SplYuKY+qbXdY25W4O6jEeAdy6aVr+OIY3O6i+iGY9AbPuKLepu+thMwVtzKfKARNut8WzhI+uE0QKwFtYI4amXtBd21FCO9OM7gFEzFScbd362fZDdP/5F57UcJ/36yJEkvP76Ohw/bj/hvEKw9HHgu/ZAwi79Wbdu5WHNmjNIS8uxbp+SYkmcXLRVZ9qGhQnRVlAKdJ8CjJ0N8MJTTuJRFuOSomyPXYmf+v6E2YNmo2blmnYTbdXmWY8i4xFKdFMCgUBQbhGibXlCvReC1M8AAQAASURBVJNgqanduFVYUKqirbe3Dn5+NjYXCcoOEqAITz/Atwo73WIM0PkpVvAnYJBoJi0IuQGNB5VeWzGJqTcTzB8khDRgmbX52Ur+YvIpQ9GWnldzBWRqV2+1xtDJ29iSiJpeXjoEBno7Tabt3U3uxpxBczAhaoI+HoE/vsUidjpzHJGQc3QxEL9def8UV7BdPJmJnZYcNBQ7wN+TvBxLnWdLv+dleKHNSiTa8niEiFAdK6HR35YFwfDyPuDCVua+osiQojD39xDXjjOB1TcYvhHNMOc0G3dfPn4ZFoz+G5UqeZhfFDT3txsVvFGu7dZ4tk0LyTQjxP4zBfilHxC3WiXasqxdi05bKurht2n8nNJ7itzyzUYYnk8H5EO+AB7bqnw9shlozpy299yzGB99tBUTyYWt4dKaO/cwFiw4CpeD8tYpVuT6afY8XdyL++9fijvu+BMjRmhEiRjHZXxWn73/LJGT5lSirYhHEJQKDfpIxY16EwyHR8B4iWk6LtrSNrgk5BcWws9LBx9Pd2nCRYv61f3QoW4wagT6lOi2BAKBoLyitK0Iyg4aXSzINd05MIYOIElQotxG7iDjbPwE8A8Fmo9RrsfMCLDAsaItHVC7uWhJgVNDAh45aM2JdjwCgbtsiW7Pl979Ky9QZuhzR4FrJ9g2x8Fw0VR3G2iYdRNPNh+GmnV7m16QnjNyxZBYFL8DqB7NnJlc0C3ObcWtQkB+HjzdmeBaEigqJTU1xymctmF+YdIX8VCLh5CWk4Z6QfWK/nxSOyzJafTva+w0CXAkFNLvKZbCWIzTEpnUrvXDC4Eji1iWbfPRQGhTy+7UWzeAlHPK5dR5tvo/soVyPynXXWf9bk5+fqH0XBH1Q40y4blArAW93rjb29ptf5W6pn8PFz913nKUhxu25Q/GY9gi/WpU9Cm8dSTI/OcLF1dp/4AmB2hbZ1DwxhZZKNc22ZcuuxIN/S8j7VoyAqoZFVhd3s+ilmgRxBr3Mt9+tiF38r9skZkcwyUc1yfn6MGDbER5794rSE/Pgb+/8r5cvfo07r57sXR66VId7rzTzvEAzgzf17u0D9j9M257+GLVqmeks9atOye5xoODfc1nFlO0iKXnlN4/XKSivgSnKCITTltBGcIX8nhRmQvDP4dKmovv7aHD0fcGWLzM4z0bSF8CgUDgqginbVlDB1bft2df2bKjwRw0LjiFnGNuLGeJt5pSY/bGj4C/aWf9ttL4bIvzSWATtNKsFm0FTsb5bcB3bYF5dxftFLOmUdvVcXcHQqNL5aaUTNvbqJ+Xj0eyCjC0vuzms5RrS+4zPjZPAgVn61fAL32BuFUG//X2yTW4LbWZAW4Z17D23Fls82mGWv4lez3wXFsSA/PynKT0C8CAOgMwpvEYvYhrlt8GA7PuVL64YNvhMVZ6xMdH1VnCWtDnFX3Oqa9rPzXfuwEjfjYRbC9eTMPevZcVF48+quS8ciESjcfPA+74QDkvuB5b3CSxsZi5tjwagahbnZcPuimirTlHEf/bjUdpLUF/Dx34Gx/wklOVIjxG/Sr9WLNRA+y8GKYfDbVYQkYiHr3e6T3D82d3fA/k3zIpeIvu2BJnbwRC534bcWsN3wsSJCYTwXWV/0fvKS1nNjmm+f5GtSigXk/tiAQqKKP7Y66RXYPTp1MMfuYCLue//5Ri1p9+2guXIqCGYXGdTwjS0pTSzNhYVc6wOVc2Ob1pH1KLXKUAjBX8lW0RGU0xUWyJQOBwyPRCC4o8CoqTm+nSTtsBiwag74K+SMpK0k/rlNRpKxAIBIKiEaJtWbP/T+YWop1mazKSaEdh6NfApOWK84FnyfkGs9/r4xFEpm1pkZGRi9xcdvAtRFsn5OwG9j3jWvFEW9oZpZ13Pm7v6tDjUco76CSaLr1zKWa1nsIKqfq+Y/7CdboCDfqygjQ6uKJYBGNxOeUMcxBS9q2KwnMb0To7Gy10AfAi4c9YILQR9fZAnXtdFmy/tB0zj8zEgaQD1v0HctnyzxF6TKo3ZV/dXwL6fyS7mzsauk0tXRe/LL8eymAf+YuJQ5dcyU2afIe2bX/G0qUn2Jla+dIkxjceyL7UCwqtxgO9XmeCow3RCETtKtmG4hYJn/yAXQ2JmPGx8n+S/z5r6Pce8NJZIPpO09+RO1guVouKqoq75t2JJcfrY/j8YebzbAl6PtSu2L2/ARtkQbvrswYuYHWubeqRTaY5plnJyuNOz/3jO4EpZ9jjq+U+i2jP3MMkHEsxDG6GBY7k2tz6JRP9i1qgVnHypFw0J7Nvn+F+ze7dyuL0v/+elsR+l8G/poFomwVDN+yOHRZEW3rvkJDPXemW8mzJ+U1502XstCWXrZhiEpQKtM9H5Y2bPjU838VF28SsROmLhNqafjWx7M5lmDtkblnfLYFAIKjwiHiEsoQOYrZ/o/wsHRy30r4sjTiSK9cvBGhzr2WxKag22xkvw3E2V0OUkDk5vGylXg/zl9HHI8gHsjxS4ft2gJc/8GqC9aPPFRVyLs4ZBzTsCwz7tlRu0kvnhfpB9YHW9ZHZbAwS0hPglXcT9QI1xvpJBLxnkfLzk7tNRWbuGjQaC9YlxGLWlSRg+PtAtSaGbkM7OG15rm1ZZjKuiV+DhScX4vFWj8Nb542bOTfRsEpDVPU1Go1XCztTzgKp8YpoagwXKhOPMDHOx8znDo3JT1pm1f3cufMiMjPzpNMbNpzH8OFRQPuHgZhJhu9Pcwz+HLaQkKAIfuFBsus2uA7Ly6VMT3LvGjsOKYM2J5W5e6lAy1qCrPg7yBEbXQ2JmX4Y8RcTdz++34LTliDRlhap6PXd6m6WnUslX+0eMrgY5dq+MTUck1oeh1uyLIyrYywI+r+Uv8tdzeagy9z/j/Jz0xEs71pdNkaLJfT40eNUDDHdkmhLcRbqn+mtPmvWQbz2Wje4VDwCRWbR05Zb2WrRlkSXSwWRqIUE/PLh7+jzahTq1pVzljkBtYCXz2svVpQSNJ3A88BFNIKg1ODbLuOpAH08gmuKtvrJJzd3eOo8i45XsoLUrDw8NW8/PN3dMOM+uXTUiP/9G4c5u+LxYNe6eKKXiEkQCASuh3DaliXUfK0aV7TojD2zDvisHjB3fNFiE5V3PHcEGGS0QlwUVC5kbkxOYBEh2jo53DFpTngiWoxj7rf6vZTzaAGEj4mSU9AaaIzaUv5leYbGwKng0LgpvpTYn7Qfo/8ejVc2v2L9fzIW2rXyOWlB7PIBRYQMisRL1ULwUJAX4pNsK7RSZ9o6i9OWH3DRWOMnuz/Bw2sext7EIkbKyVlp6X1DcTz0PqHrJgeznYuH9AVudDvk+NSpSh7PbgIO/QVcV0bkSwKJxZyGNeRM28qhwOT1THCW3a8GcIdxRLti5ecaKI1cFKPt1I9dgOVP63/dpInhbUZGFiXa8kWJI0B4G+CxHUDvN0wuRrm2Rwo7oe7XD+KOX/ohLY1l+ervB0HOWVsg4Z6LHuRCPrcZOCqXiFEMhqUiVSNOnjTc7qpF2mPHruHWLcPs4ZkzD7jOuC6PwpK5km6YX0vxCAUFpnEW5EYeNmweZqxkj51b4mE0a/Yjvv56p+Hl6b1Pwn0ZRgYlJiqCsSghE5QatN0nMpMMI2HIbOPCmbZ8H8Kejvfs/AJsPnkNm06an4TLyi1ASmYuMnKMsuYFAoHARRCibVlCB4DjZrMCFkJqZIflzDzakaCRNSpwoWxGe2VxkgjzbRvgz5G2X4cLI0RbJ4ePVB+cZz7ruW43oMszQK22ynmePsoIqjWj8iS+kOjyUzcgTx6vrkjYkt1ZQq5mXsV3+7/Dn8f+1LcVF1l8QZEWF82IkTw7lUrKzmxQinwK81i0TFCk5Kbc61sJsb4+yCCHYAlQbw/KuoysgLJHZZcMz6PjB2ElIrIry1yXr18Taxc9VBmWRQrde2YAiycDp9ea/o6Eu7jVwO/DLMeimHEmVuk4Ehj4mXZ8gZr8HKBSiG3viTPrWdb2osns5yuHmGP5ihJfERjog/BwRayyGI9AUExBtxfZtoznnpo5wI7pEo3zNwMlTYKiBUy2l2qxnkbolzwGrHzR9IosiaQL7gN+HwpsnMouyuMmbHTaMqGWubB371YWj/ifSBm427apYhkqMrS9oteezIVrnoabwfRc6fFS8+uv+xEd/T1WrDiJA1dZgV+r0GvIysrDs8/+iy5dfsWZM9a/V0uzhKxGDdcUygRlAC+3LMxnhZGcJ3YCb6UAtdrD1VDvK9D+Q0ZuBr4/8L30VRLyKaxdWiMyLwTrZLWi0FUW5AQCgcAIIdo6A+SCoby4Loq7xqJYQqPeix4E1r3LTuudtuG234eTq9mIHTmlrDzAFSgI0daJoZ08Lrhe2sMazYuDVpamOUg8yrjK3Kgq4aXCPI7cVVic7M4SQvlp0w5Nw5/H/7ROaCRX3+eNgV96Az/3NhULacy9+Rh2et4E4OIe6e/KcHNDr6q+6LOwL/IK8qCT3YCFaRZyIW2IR3AWpy1/LPPpoFSLWzeBL5uxXL8CJpKZ5a4fgEc2A43uMH9dn9YFvohWokoscPmyGdF282fA4oeZKE9wR7uWA5bY9AlwbhOwaxr7mUTl9ETgwBzm0FVRWHhb77QlF2p4u+5Ah4eBut2VC2kdMHZ6gmW9dnkWxYZKw6jci8Rbely4+5u7wWWaNVNiBurVMxphN6ZKJNDnTaDJoCJvnnJtOWPGLECbNtPxySdbcSM1j7mnQ+obutEPzgGOaURcrH4V+DwK2PWz6e+qNpDKyRJyakqFau+ttODatkK0LSi4jcOHk0zybB96KEZ/eubM/XAJ6LmmXOQWY6UfT11ys7gQsX79OTz44HJJzCWuFEbisl9HpAQpAlRs7CWMHPkXcysn7GIFt7tnoKz4+2/l81rEIwhKDZro4AsiVPyshvYNtLK9Kzjq/S5a+L2Vfws/HfwJPx/S2O4XA9qmEx4WRFt3eVWOPqcFAoHAFXG9Tx1ngRqUeW4ciUKUF0dighZ0MMcFIBJL/EPZKrDUEH1c22n7x3Dgy+bWj41SgzAnx4WKPOyEEG2dGCr6y8uyHEOSkwGc+Mck51SC5y9aI9rSdXCKKmYqb9yMZ4+duwcbuy4DodEqp20NVS44lY3xTE41d37HGu5poYrKkeJ3osDNDcnIl1qRafTP3Z251gqsEBmtjUcoc6et/LjR4+guH3SaFcBJsKEFQYqNUEcSaFHUqCS5R6XL6QCvSsWMR1A9ZpLYOp8Jnfy9rXZFyezadQl/LTiGgs6ykLprOhA7DfhtCHtNLH0M2Pixwf+Ji0vGzZvMHd+pUy3D8c+17wKf1AG2ydMtxtBlyZVfXEicDazNSs54Dq10vio2CcCrr3ZFo0YhmDKlM0JD7Sdc9etXD63q5GDB6L+x88G5UvTAK6+sQ61R2Tg9ZJNhrEL1aIDefzQuTMK3ybbhsvbr4N6/kXHvZtT9bDw6zbgbU39L1ztliyIl5Zam03r//isGoi3d7Acf9EZAACvLmj//qFQO6jK0moDsnu9h8QEm7vv5eWpGfvz00x796UmTWmLVzjdQc8q/6PfpbGzefB9q12bbyoMHEyXHsuSupjI7LSe7HaH369ixCzF/vrydkNm06Tw++GCL3oU3dGgjh94PgUAzIsFYtHVR1PsK9PnIPyOLnHwqgnw5fkJnSbSVf6eR9iIQCAQugRBtywLKeKMG5R86WpchSweZ5IaiMW2esanPZTwEjJgO3LsCqKNyBN1MYOUx5kbBjeEHi0O+MnTXCKxCiLZODO1wq0v5tETb66eAeeO140H0Ttsi4hHIjUiOdY49xs6dCe72J1HUCuHNkSP9/DxNjIuwtPIzqQl97Gyg63PAyF8AT18UeCp/k+RElTM5Cxv1s5vT1lkybT3cPYp2Letd1cUY+yc3Jm+cV2PGQWqNaEuPmT6jlGes8vei3mmriLbLlp1Ahw6/SCLQjG01gZCG7HN21UtA/Hbg1L+G/1fDkUiiLU7+C1zYwWJO6KCURmSNp1AoGqEk45p00NtkMDt9YqXZx6lHjzqIi3sSn35asteiMRS9sGrD4xgefRYdal1Fw2A2Bkyj8v/9Z7TgS+/5ELkAxnhxS6vEUQXFGHA3VU5OgdXxBadOXdd0G5O4nJ2dj0OHmJgSFVVNckePG8eiT6jEbuHCY3AZ6vXAUf/R2H+ViUx33tkEnp7uBq9rEsCXLWOuVXqsfvllKKpUUTJwu3WLxOOPK9FA69adU97L5gwFdoBeayNGzMdffx3FuHGL8MIL/0q5uklJmRg/fpHeWffOOz3QunUNh90PgcAE/rnCy8hoAXfOWDZ9ku9Ci0IqGldpLJWXerh56BfRiZLkiPPIA0uirY47bUU8gkAgcFGEaFva0E7w6pfZ6WYjmQuMRkc3fQb8+3oR0QgdFSeLukyHhFzK46xczbRV2FK5GYc+BClLT8PhI7AOIdo6MfReeSUe6PCo+exoS7nQXLRNVmU+akELKFQu6B0IvHkd6PYCKhRlEI1gk9OWqNqYfVcJsSZ4Vwb6viMJthj7BwqfYhm4bvSPnLbWCMTFzrTNch6nbVGPZUJs8Z7v/94ApkYA+2bZQbRVhF8S+fSuSf5eTDnHCmFupRgcXJ84kYyJE+XCKwCrVp9Vsl2J1hOBPm/LV5xqcOC9Y4ciJHbqGM6iM2YOYG5efvDOnb3qv5kiH8gBbCtctD0wG+BRHDx3uRQIq1MLunpswXfJVD9NwVS5sPz8GUe/FJGrrxbEiXXrzhY7GmH06Gj97s++fVdx8OBV5OezbUPbtix3/P77WxsUkrkE5AL/rh2yd83Wn9WqVahe4KT3BAm28+YdQW4ue69PmNAcnp6qxazsNGk/tG9fpQl+7dqzpSLafvttLC5dUt7vX3yxE0OGzMWECYv1izd9+tTFa691c9h9EAg06fY8MG6OEpGTm8EW5o8sZhNHLoaXzgsLhy3E4mGLUcmzkn7ht6RuW55pazEeQf6dEG0FAoGrIkTb0oQcO3PHA5f3s0be7rzQ4zaw4QNgx3fa5UVajid9Q/Rhy63C1jhtyYmYlcxGHymmgQ6IK2KJkgNJTr6lPy1EWyeEjva5S0xrIcOS6FCrHdDqHrYDbwmKDHghjpUL2tIi7+wE1wNqtgbqdC3Vm82/zTJXaZzf6vKs8XOB+r2BSRr5m2ageASC34a9iroM4xHKVrR9otUTmHHHDPSK6GX57yMHKU14FMdpS/l/VOamFQtCCxpWirbkslOXDxksiqld71myoEefW75VkJqajTvvnKfP69SP0VPeJy2Q0qLN0K8BnyDlgJs+94yERQ8Pd7RtVon9LQQ5rs2JthRPJMUClGBXih5f2h/g0N+oFenhSGThuEH+TkQEpOHy89Nwv9ubpi5iHotC2ffq8kUunlst2p4rtmgbE1NDioggyGG7fbsisrdrx/Z3OnQIR5MmLN948+YLBuJ/hYXiKpJPIuTKKujc2HuZHgPJLS4TG3sRv/9+UP/zffepImRWPA98HAHs/hmtWoUhONhXn39bSGKuA0VbEpOnTt2qF2XovUesXn2aica0fhHqh9mzR0DHm4gEgtKCIpRo20hljly0Jbz8XDLT1hh1hFBJnLYFhbdBmizPrdUiLMAHLWoFomaQMh0gEAgEroT41CktaHSaRmrObwG8KgP3LFIOQOkg0sPHvKDUegJzCKkLUfjB78VdzGlxZJHh/9E7beXCFkvQDsjIGcx19ttg4JtW7HoFNjltQ0LEToXTNm0XKdpGaGfa3vU90Ki/FbcRxlzvBO3EljAP1amgosSHNwKNB5aZ07Z6pep4qPlDGN9kvOX/RBEv5LiMaF/s2+EHIl5uOnjCDbeXPFp0EZcFKF/Sx8fDKeIR6gfVR/sa7RHmF4Zh9YfhxbYvomW1lqYXvHIQyM9mRVnWxuVwcZcmQ9QHcORmTTphtWhLjxEfpVefZyLacgG1UggK4Y577lliUlp14UIqUtIKgFG/AgM/UQpkeMGMfB2UZXv0KDvdsmUoKhWkqD6bvdnjoBGpQGKZBEUw2Aot8DQaoPxcQ+P5cDSNWWmZV9Je9GqQiBr+mQhwu26aUctd1/QcyzmESL3EvlMEjYbYTAfzahczsXfvFdy4oSx0muPkSaVEkARbEm4JcozOmnXIRLSl9+6gQfLiHIBjx4pfqlruim5of5KEWve98HAv1MdFqEXbX389IOXGEiTMtmghZ3WqcztvnJeE0d69WQTJjRvZSLmSVCzRtrjCzdSpW5CamiOdvu++llizZqJeNCbo5Tdnzki75jgLBDZDC1T8mEkAd5WEUBKnbdOagTg7dTB2vtrH7GXu7lAby5/sikd7iPg+gUDgmgjRtjSgg5tlTwBxKwGdNzB+nmGRD+2ZWhKUyCVExTnVmyjnkWvQQ9653fqFabsv5d9K12eF01ZqUx/Fxkh56RKPZDAHZQQaH8C6MLwshwQaX98iSntcDcoDozzIsoJEt9ljmCPJbDxCgkWnWLGhRZTPGwMrnrPP9bkwXEylcf5Qv1A8E/MM7m92v91vhx90cAfqX0MXYF/8VXRIOqOI+sUlPxduN87r3fdlXUSmpnft3ri36b1oHCxHSZiLwiiqZIxDLmz6fCMhNEU1/p4cx1yrFBvCM9mtzLM1cSjrRdtzQFAEMH4+MPgLfPjhZqxYwQTUKlV8MGSIUlh04IDGwqWRc5aciBxJ7OLFM1zQ8uOi7TXDz0B+uaqKUGgT9PkbM4ll04/6DaVOYLj0/LnhNp7vwhyZcUn++vgBgwkfTz82ycMfiyK2nadOpeD69VsmwujGjeetdtrqdG6oWzdIL9qqn1dyZ7ZsGaboz42rajp1rYHcpVWrfio5tkviHCtVVGPaOQUe8PLSoU6dIHTsqDwf6nxfEkcN0L+nLuijCDjJl+TXtzoT3gzff78L/v5T8dxzq6167OLjU/Htt8wcQIta77zTEz171sHu3ZPRpk0N6Xn9/PM79CKyQFDqUOHi4YXAMXlix8VF27TcNAxePBhDlwyVYqPUmbYlnUhSRyAIBAKBwBQh2pYGBblM4KSd6zGzFCeeGkuirRbkGJqwAGj3kPYBEx/n0RKorHJLaYy4cmiHfMYdwLcxQJbihHFluBNMPQotoKPIDOCLKODbtiUr7CkJZzex8iFyw5Eoct8K08tQcR8REK59HXTfaVx8/QesbMmYTZ8Cvw8FTq1hP9O4Mwk6lt5H5QlyNpaRa7h19daYN3gePujygUNvh8q5mgQ3QaNgWfAjR2aVSOtK6Myx/ElpcmF087P67YRZJx9F3STsdmjByYb4DZh3Yh7OpRYxnk6vX3J8FicKgxyp4THs9Jn1qvN9gXaTgZZjrRKAtUbaTZy2tAhE4nrjAShsMhSffrpdf9A3f/4o3HVXY8OIBGP0Iux1jRKyCKVwTC6j04u8FKfAHaY847pyWMnjDBr0BYZ9y/YNymrsVo5IaBkcL30/kxKI8+dvGl5G5wlMOQU8vgPwlwVtnRcQ2UV57o1Qxxio3Z9FRSSQ8MdF17p1q0gZrGrRlkOuUe5kJxo3ll3UJDzHFU+0/fTTbZLDdPnyOBw8WE4a4/nCgkzDhsGS4Fm7diBq1DB0qNL5d99t5HbnC/XyNk6da5uWnGKV0zYnJx+vv75eKoD76qtY/PLLviLv9ttvb5Tyqomnn26PiAj2HqpXrwr27HkYKSkv4bnnilGCKBDYm2vHgUUPAhummsYjuCD5hfmIT4/H+bTzkmDr4+Ej7ZvNHzIf3rRgKxAIBAKHIUTb0sDTh7lrKV+xsWoM0hqR9eIe4OJeJn4ZI4m/bmZE21ps1JsfWFli7+/A2Y0sx5aPPybsYkUvWty8AFw7wZxGl4reOa/okAjDnUQiz9aIxCNAYT4TO7grrTQhgZW7zanch94zxuPeJMimyE3plkbB508ENn/GRGBjyIlxbrOSs0k5uORCoPeKNbnSzs7iR1ju4Yl/Sv2m/b380bRqU6mxOK8gDxfSLkhf9oYiAxYMXYDZg5RCH1QxFDSKRfIp4NB86WRkCBNiaeyfRvE12f4tMKMvsOVzOIo5J+bgw9gPcST5CBLSE3Ag6QASMzXel+T6fGQz0PGx4t1A1FD2PfYngBe4kQt18P+AQZ9ZdRWXL1sQbX0CgKf3A68nsiI5+Xe8qOyOO+qjX7/6Bi3z+/drOG17vAxMWMQyC01EWzNO29DmQJ1uLDZCHY1QtQTRCM5EkyFAeFv9j2dvBGqXkRkLFrRNvf8f4M7vNa9WHY3wyitdJdesNaItvQ6yslgsCc+ybd1acdQaRyNw+GWLK9rm5RVg61YmWNsarVAmtHsQmTV74LGVbLSYZ/pSVIS0AKFi8OCGpgvLfCGEpgnyc1G/fhVERjIBtefPg5D90A62qGCBf/89o485IJ5+ejWOHpUnWzQ4ciQJv//OiuKCgnyk14Ux/v5CBBKUMXz7zz8P9E5b14zrULtpWVmru7RvFh0SDR0ZiWwk7mo6HvljD95foUwEGDNvVzy6fLwe7/591ObbEQgEgvKMEG1LCw8vy64lc07bte8Av/QGjv+t/f/MFSjVagM8dwQY+6fl+0U7IX8/A8y6E8hJA6pHs1E4WlFOMvPhqI5OsNYZXIEhEYa754RoawSV2nHKwpV9Uz4Ip9e0uuzHWLQd9h3Q+00g2IxoSw5B3vJ+YoXp30jiNDn/Gt4h356/kt9ZVNSIs0OLOZf3MfG9msYofSlyMeMihiwZgvErisi0tQNf7v0ST7on44C3l22i7bav2feGd2BXoZKHbDbXVh1JUAr5wNMOTsPEVROx4qyG89xWSOylHNjrp4E42wR+7XiETMNCPPo8vbADODgf1+OY+EPUqsUcgU2bVtOXGmmKtpGdgYZ9pUVN2nbzeAQqPaLRchPRllzEj20FJi0FvCoZibZKFEO5hkpIJ6/DNa8o6cczkmhrYZttpSOcC+Ik1tKoe/v2bJrhxIlkXLokF11poI42aNQoWPpepYqvFJNgSbQNC6sMf38vk+soin37rkhO0XIn2nr5YX2Nz/DTHhZ7EBVVVdPZbFJAxiEXOUVeUCFuaoIkxnC37a3s29h6wkdxppth/nzDfcXs7HyMHbtQL7ob8+uv+/WDN6+91lV6XgUCp4Nv/6lokbZ3fNrIRZ226qgqe5KckYN/jyZi22nzkXsZOfm4dPMWUjIdN4kkEAgEzowQbZ0Fc6ItubXMHRjeugmcXGW+QMkaEmll8zbbOaFRUFot5eU98bHa/4ffJ8KcmEFisjmnbgVDLcII0dYILmy0fRAIjS792+evTxpzJ+H1+Apgw0fAFaXERhpHjh4GdH+RueLNwUXbk6sVFyHBxSkSgioxccGkmKksoMiHfMX9ZDNXDrCIF7/qTDArZc7ePIsZh2dg9bnV+rzZkpReWMv+pP3YlHsNyTpd8UVbclcfnMdOd5+CatWU7YJmri2VOdECA/19lHeufn3ZEf64ubu7650xJll0lEFtaxQGLVb0fgMY+jXQoB9bEKFpkWJcn8V4BDUH5wBLHobuxHL9WTVrMtHW29tDEm65OGhOPCKOH7+mdwmSM1Eqomt6FzDof0DUEMs5sLU7syzfCkTQbSZyn70RpO20pdcmRcGQ855e5zwuQoPU1GzJVcljDCpX9jLITKUMWetEW8U9q3ZRE+3aGUba0PPHc20p3oFG963BOGOXF9OVB44fV8QO7rQ1Fm2pIHXQIA1XOL3e1VnRRhEJa9eq8qk1oPfWsmUn9HnSvOSMHj/Kty3q/t5zT4si/z6BoEygBUh3uaOCMrxbjQfeTGYxdy6IsWhLETa0b/bL4V+QlWd7fFa+bHpxtxCfpJPzbgvKW1GkQCAQ2Akh2joLLcYAj8cCQ74yKjq5ar7oRFVAoW/DLi5XD5m2eusbos3kcfZ5E+j8NDutJWZQrueXTYENH8L1RFvhGDGgrN1o3OnLD0oPzAE2fQJcZAUoxYJyGym7knbeL+5W3MN7flXGi9UU9T5yJJcPAF81A+bawZHKRefilFLZkeMpx/HVvq+w8ORC/cGCPUovtMThgYsGYtKqSdLP/LYKVGKG1ez4npVv0Wsmoj3Cqnri/lZHEFMjUSnVUpMgP8Ykqv6vIRM6Hey01f99xgL4mreZILf7F9tupP1koM19bAGESqp+6QN8UgcoMC+cqrl82UIRGUHxJBTXsY8dOCdl+ZqItmpxj5y0hw8nmi5o7P9TijUxiUYgSDinv4MWYsxBefIPrAJiJqLCUJCHwmpRuHDTH+duBGg7bUnspwVjiomgbcN3bYHPo4ArrMBMza5dl/SOys6d2cJynz6KIGgpIsGcaBsTo0Qk+Pp6IDpazhtWwS9Pz/2ZM9aVYG7caBi5Um6ctvLChJZo27ZtTX3UwZNPtpdKyjShRcu2D+izm8kRPbHFMfw5/B/kHjYz5SWzcuVJvUN5xIgozJs3EpUqMaFr+vR9WLLkuMn/OX2ava5IxCdntEDglNCCPs8159MXlOvtok5bXjDoLksHtEBG+2Zf7/saWfm2i7YF8sKfhxydowUXdAvLS0GkQCAQ2Bkh2joLtGNQvQnL7OMUVXRCmX5dnweaDgdqaIy9LX0c+LIZcGqt+dul8htj0ZYcUp2eBFpPMP//Oj0BPL6TlacYQ3m4xNYv4AoIp60F9E7xMsp91Dtt6xhmR6dfNRSBKKuVmoItQTvrDfsrEQk56cDsUWwUnN6j1ACvJkIWbSk6Idv8GLBD4O9BctGXFMqvJmq0KHN3hyOdttkF2VL8wqWMS/rbk26ftrPkuLEWKsna+xs73eVZ6dtg79n49c7/8Gb3ndquUbUbm8QwvtjhKKetpceSxDeKwvA3HDu3CS7k0aINvX/s4bSlnOhD8xSRN1Vxx9eo4a8p7plEJNDn3rIncHvb12aLskxY+SLwcSSwewYqLDpPeE3+B81/fQLpud7m4xH4FMGF7UyYp9xwjfeIliBO30ls5aItFwKMOXkyxYxoW8NAmOcxGGoMy8jMj9xy8vMLDfJsubBIY/7lTbTlLmPuOKdSr02b7sObb3Y3fwU9XwGGfMnKBykpo7ofxrRNxIQWJ1Ap/RSuX8+yKhph3LhmiIqqhu++G6g/b9q0vSbZwefOMSG9QYNg5mwXCJwVvWhrPqPZVeD7Cur8WrXr1ubrLTR002pBJaOEhcEOgUAgqNAI0daZuW6F4NX3bWD0b9qN05nJ7IAqTTlwskq0rdkK6P+h5fIJ/zCWgcfz/dSoy2voPriaaLvwQeDL5sD3HYEji+DSkKhPOZf/TAHm3l0Gd+A24OWviLb0ujUu/KMCqHnjrcvg5BEJFLOQEMscrZSVS1mXxrl/JBCT+7bj4/aJKSgOJGwR1ZrY0S1dNnm26pF+Rzpt1S5U6fa4E3XoV8C9ygh+kVA0TEA4UL0p0LCfdNaV8NGgqb67mpxBYaKp80zvxibxn3CQaFtYqPyNetFWHcVA+cXJcfYR6cnJOv8e088XKzNtKVIiIMDbVLTl5XAyF5I9LTptpbuyX3m/b9sWjwee3s7+79HTmDmTZeKS+EfORIkTK1lmrvp9S87p7JvsM43Op5LDCgiJaA0bhujjBXJzNRZI+BQBLV5RdAq9VwJMRX5DQTxCLyR27VpbOn3xYppZYZg7bUngDQ8PMLgeKq8ihg7VnuAobhkZ5dnyMjsOuXSLk4lbVpBYwkXbiIgAyb2qhvZJunePhE5XvN39NjXZde6/Wg0bNmjHw6Sn52DlylN6obdnzzr67FyKStCKmbhwIVUqZOSirUBQbsrIaLqD9u+PFWN/oAJB+wy1/WsjvLISSWN2YscWp60F0VYnL+4UCKetQCBwUYRo6yzQB9Gmz4AVz7FYBHu0U3NXoVqgUkMH64mySyLMygP0jZ8Avw+z3CJPuZ5cLCJhqyJCY/E5Gdqi7Zl1QGo8cO04sOVL9ty6KrU7AG3uB1LOAJcMHTelwsBPgFcT2H0guHtQnR1dnAiHBn0AnTd7j4Y2A8bNBu5ZxBYwtKDf0wJIZdMRXrOvK3LJ8q+Le60eK9d0OIdoxKpoQePOWkVx9Nq1lKtdCqjFVO7wcITTVu1C5benvn2rIYGSphDodSEfaPhGRGPpCfZctMr8y/Dy9Fri22E+aq/ODeeQs7uEi2B6p4wqHsHg7yNXNblsaSGChOeScG6zctpK0ZYEKO60Jdcsn1wwiEfgCzAyZ656aIq2LVuG6tM8uNO2oKAQDzywHJv2sFzhapWUfOGOHckB6sneb/MmADMHsMecI4+OS/Eop9cBH9YA5oxFRaRhw2C9cHn27A3zoi3fjlImv5GTmv7vzp1KwZu6QEyda7tunWlmKrkx+e2SgMxdVgQJtjt3PojFi8fg+edlx68Fp601wqs6z1YqojMTkbB372X8/PNeZDpRGU5SUiZu3Mg2iUYoNvRa59udvGyE6i5LJw9crYY1a85o/pfly+P0buRRo6L0rmcS/slxy4V5Enc56pxk/joTCJwWioIbN5eZWCgW68hCZWHTxahRuQZWjliJJXcu0Z/HoxJK4rTlmbYWnbbyr3jps0AgELgaQrR1Fujocuf3LB+TSmnskQfKBao0+fqMuX4GyL8FeFYyLRii4hgaGz+61PD8M+uBc5uY4yh2OrD8KXY9HGpYTditiFhlkefpaDKuAV+1AGbdaSLaVqtCeX+qg9zEw+wA35XhIgvlM9tacFTS9xYf59LHI8hiA7nlqADK2vcZFS09vAF48RRz7TYeyPIv7QGJRdO6AzP6KV+/9Aam99QWVC1BkQwEla4V5fIll8P3HYBP6wK5RiVZJOB1nwK0vgcINnQ4lhZaI/2OcNsal2zoHSTciVqcgxKafOCvNck16odPtrWTTsd4bmFuXA5tf+9fxYqv6nTTdtrSbc8cCHwTo7xebeDVDq/iu97fITokWluUVk9elHRsucszyunQplb9l+vXbyEvj92fGjUq6wvcbty4JY2wSxg5OuMusvtJwh65/Tj+/t56J9/hw0nS/1+y5IQk4iVlsuv188pH/15huPvu5vjxR9lFLwnjt1kpnG+wtmgrPT/k4q+YeZxqMU2zjIyeg6BI5efAWtYVvMmoi65++WW/yQE/OXz58612zaojAIYPjzKb0cqdwtY6bdWi7aOPKtvzo0eVkWiKCOjV63c8/PAKfPCBakHCSfNsiwVFcU2txT5r6Lm4dhzuKEByli8up1fG0qVxyvtPxbx5htEIaqKiqmreR55nSwinrcDpqdMFaDKIFU/y/aMKut23Bf3iL2zfHyuwQrQNquSJhtUro4Y8ZSEQCASuhhBtnQm9C5A5HKRc2QEfA/V62nZ9IfXZ92tx5sW0yeuBEdMVUUtdUDZrGLB4spL/SaOzl/cpTptD89m4UNIx5f/RweyMvsDRJaZZjRWFuJVAbjpwaY8keKlF2zA/2Znl4QN0fIKd3volXBJy2lG2J4kc3nImcwkEJ7tAjjCCWs8JacHhNstjNI43MAcJUDpVCWBRkCP77MaiHbPkVHt0K9B4EBsBpy86OCABdvZovbO7SOh9yhdqspIV57456LXMCw8v7ze9T12eBu78HvBgo+qlDR/p93DzgI+HDyZETcDE6IklcnZowcVZLmby77fPb2Fi6capRV9J0gnNhQlyjO66VAPrz0XAw62AFZWpH2PanlLxFV84oCxmtdhOcRckqOakAtu/s/lvbF29NXpE9ECIbwg6h3fGE62ekL6biP3WTl4U9T7p8QrLXLdU6GUmz5Zcs9xpS091SoocR0CfVbR9lTkVz95XJNga55vyiARyA5JwNHXqVunnjFxPFLiz1/PqRQMwe/YINGtmVDhDWYbq2CFe9pl1vczd545GLXoWmWtrRrTVLHhT5dK2bh2mjyZYtizOQglZ8YU9iggID/e3ymmrzrMlRzCVaXGOHVPExrVrzyI9nTlsV6/Wdp6WW9FWev7cgNwM9vq+wgpqLxfSgqub5OZVC9t8IeXff1nvAj3WXbqwyAst0fb48WTN15Nw2grKFXrR1jWLyCyKtiUImx3aoiZOvD8AM+5lC9taDGhWA2ue74EP7rI+akkgEAgqEkK0dSaM8zbpQJ7yYc2NXhcFP/Cm0Vt1biHHw4u5BKOGmv6ObpuKlCivbucPiqBDP1PGkyQqyQ7KlHOmObw8B4oyP8vCXelISJgh2j8sHdQbxCN4pSrPJZW1uXsCF7Yy97GrcXA+8PczzK1dRXZl3TDfFm53Lu5hDlK6D8aiLTnFyWWrdrM7ohCF1KZvWjFXtnwgbBHfIGD8XOCZA+zrwTVsVJ0WCBY/bN1tphiNGxdVgqYWdR2UpWovp62vhy9eaf8KXmr3kkEZhiOctl/2+hL7J+7H8IAmLN6Dl2pZgorpPo5gsRYqgoN9JSfox1vlgxJazNByT9N2gzKY6W9Wb1fVi1+0UGaHrPDONTvj0ZaPomMNedTdXMZ5Sej1Kstct7qETFmYIKetutjRINe2Zoz07XbdHrh6NdMkGoHDhUHi00+3SQIhERNTE+7+3Dlr9FjywhleQGPWaVuGBYtl7bTlUTEWRNstW5QFus6dWZ4th1y3773XS//z229vNBh7NRRtTZ221sALueh1oxf8NaC8Yy7GUiZrvXpV4O2tM4lHINGWc/hwIrKybIitcQD8NW0slBYLTx/FwU4LRvJ2wCdSKbidN09e0JFZvPi43hU/ZkxTgwgLdl+qGbiuOcJpKyh3k3WHF7IvFxdtL6RdwKjlo/DQfw/Z1WlL2w4fT530JRAIBAJthGjrTGg125cEctp6+AJ5mYYCgLV0fY593/0ry7zkUQck6JLAxUVb2snncAcS5T+Rw6r7i0zoLQ7XTmqLzNaQnggUOLjxWf04UGxvAhPFyOUV6H5DcU3TOFULOfPwnxdsuy0SvMtrmZta2OCj9erXiqO5fppldKpFTJ9A4N4VwFP7WDatox1z9D4Jb2t7VEhoNDBhERBQy3Dc3BLGwiu5My2hzu3kop3658RjpV+kpqJP7T74tf+vksDoSLx0XogMiETNyky88HT3hIe7B9x4IZfxY2PMzQRW/EhCffUmJgclISG+WHM2EoeTa7BtB8WokPv6n5fYASFtt+j1QuVl0kKaykmsfu34hypFc8VkzYU1WHZ6Ga7fMiPE0Ta7+Rj7RX4UE7XTljJteTyCiWhL7wu4IaN6J32pUVGi7R9/KIsmr7zSBW6VqioirBq901ZeeDQWbUnULWl0kZOjFkrNOm1bjAEGfAJEdmGleypu3crDkiWscM/f30speFMxeHBDtGvHzj90KFESAbnzVe1ktV20VUckmP8MVTtIe/RghV3csUqCdU5OvuTqX7NG+Ryh15xaLC0rUlOzMWfOEX1hm7p8r9io9+foM8FNh8iO3eDnxxZc6PnhpXQksH/1VazZaARrnLbkhg4LE2PmAieH9iMXPQis/4A50V04HiE7PxtxN+Jw5qayff6h7w/4fcDvCK1k9HkpEAgEArsiRFtnjUcg4fLQAvPRBtZATjTKY6KcxDwjtysJC/++zjJ0zY1dN7wDqB7Nxqf3zFDcXnwsUlO0VQl15LDq+QpzD5qDxOS4VSxXk9+v+ROAte8U/++lcrTPGwGbPobDoIMZio4gQhrgduZ1vXOECkx0mVcNBXgaLaexw5Tzyt9IkMvOmnGieeOBr1vaJrqXJVKBlUrY0HqtOBr+mKnb5kkUq9uNLWjQ6HNpOOZ4aY8l0ZbeW9N7AbHTTH9Xqw3w9D5W6mYNlLP72HbrnbY0xj7iF21hcs1bwI+dWBRKGRHqF4p2Ye3QsEpDSTxJykrC1cyrds+0bVW9FVYMX4Ef+/5odAdkQYoiJzItjFrz0kUSeTWcOJRrS9uCPn+OAyYuYa9Bcl/vmgb8M0WJqBk9Exj7p+GEBV9coNzbJ/faLKp+secLvLHtDSSkJ0jCbVxKnPRY6qGIhpE/l5mD9PLldLNO22vXVHnLfd4C3kjE6bD7DC5vjJaIRSKgNALf7z3gnsVALaORTHU8ghr6mRzIQbWZU5+26zyCqIIRElIJVar4WBZtiY6PAvf/A7Q0LGSjuAPuXh01Kho+PqZxMlpuWxIFJ01agv/+Y6JAYKC3EltRTNRir6WIhI0blQUQctoSTZtW14uz9PdTKdqFC4aLX7GxqlzqMmLGjP3IyGCP86RJLaWSNpvhn5P0uTliGvDaZXi3GoE772QLUFR2xgvJli07gSNHkvTRF1x8VxMZGSQJyWrRlgrmKK+Yu2zVOccCgVPCPwdosc7FnbbG00g8cikmNEaKrrKVraeS8dz8A/h9u/njg00nr6HvF5ukywkEAoErIkRbZ3XanlwFLH4I2PRJya6TGszvW8GEBDU0pr7jO+byMjdmTKIWd/dRBiMVkKlFKL0QpxIUi+tAorzXueOAVVPYz5T9SddxQSU6WQsJnMTmz+DQkXsuFk3rjsyN3+sPmurXrwLkZzN3Mx/Dr9aYuY3p8ef5iHPHA5/VN80PNYbcjfR40Oo+ievlCXIHq4WN4PpM7CjNnV0uEBu1zRtAiwqjZrIcWUfBFzlImDWXw3r8b5YXfclwrF6POk+WxvWMC8OML0tCY4Qs8uYUIdoSdbszoXDkDMPznSy7M/92Pvos6IN+C/shnRaTHMjcE3Px0qaXsOXaAaWokYoFi3TgazfacwHyWqqbMlptPL1gjvtWMnd4y/HFy1O2cNC14OQCjPp7FKYd0lgoKCPU8QjqTFsTpy055j28DUReLact5dwan//SS50lNyXq9WAj/n4hZuIRjJ22VVnm9AA52zgoAvD0RUWF59omJKRKmcDFQe1qnjjRfD5y//719Xm3FEXQvv3PmDuXOUc9Pd3x558jpEK5kjttrxeZZ0uvFe6wjY5WXKJ0v9TRCJzYWDMFr6UE3fevv1bcrs8+q4o5sQXjhVWKTPD0xdixiot6/vyj0sLZ++8rRWxvvNFdU3yl6QIeUXHmTIokyJPwzQvNRDSCoFzAPwdoYpF/NgjR1q7XezopHUv2X8Ku8+YXCLNy8nE6KQMJKRUsbk8gEAisRIi2zoS6JMnR45fcNRseY/nAs9lIIDCClVOQIEn3MbS54U4+lUtRnAE5R41FHhLvjq/QjjsgcfrgXPl2RhnuINH1FKdoiPJJSwOjYrXMy8rBnCTakkD7+hWgr8op3PsNJpyrRTXa+TmhOk8LutwQucTMFhG7LOGvXxJq6fXV5l7g2cPMIVfWoi0J4es/BE6vZY7CZiOAag4UJWu2YlEMVAomFZ8ZQa/zEyvZ6SZyg705tnwBfNUM2DOz6NslYcs4/sAcNHJPI/k8e5ggYZjG/ctYtD2afBRzjs/Briu79OVghL2dtsYcSDqAVedX4VzqOSXj1VJEgn4SQVs8UY/6S65R2v7997r2/6HXhDoWxU1e/PCurCzoHJgL5OfalA9MjyN/LPWPI8Vg0HbX1mgaO2CYaUvxCMrB8bVrpgdrRYm2xhEJdJl77imiZI3G/snR3Gig9u+9/YFWE4AmGlnwFTDXll6KJLpZS2Jihr6gKiIiAD16mF80I7Hv/fcVt+3Bg4l6wXbRojEYMsT27Y7aaWtOtD1w4CrS0nL00QhcfIyOVvJYjx5Nwrp1ppMuu3aVrWhL8RPx8cz9O2hQQ9tLyDhmpmFIWCfHM7F06QkpJmH/fubOb9OmBgYObGD2KnlEAnMsXzfIRxYlZIJyAX3mesqfQw+sBl46B4SaxoG4lGirkg6WnFqC2cdnIyXb+s8IY+SEI+gsLFzzzOxCOxfQCgQCQXlBiLbOBGXDPR4L3LtcJX7aaUzVeESaO7y4G88cVCDT+SnmNKO4g+ePK04vKq7QeQGF+UxoplgHimFw92AHAHTw/3UrFneQdMz0uqngjPJuqfAsUnan0e3QKi7lcPJVbWs4K7uACXK6OuqDvU5XoP0jQGMmrhWmyKKW2jlCOx6WineaDGHfuVBnCe4ApSIqXlBXHnCGzEdzoi2JtZs/BU6vL537QeI7LY4QCYaiv0TSceZWJ2G3vqrcRwtqsKfFE3LJa+XM0ut+xXPA9m9ZCZ418Qjk8v1rkqkQTFlu/DYrld0B9rbL2zB111T8c+4fA4cHFyDtBYnCI5aPwOtbmZBqIGoWJdpS5jcVPhK0PdPAIJ/1WgbwSz/ll+r/Q+PJU2sB37TW3o7Reb8OAJY+Chz+y2anDH8sC7hIu/594Lu2wG45KqMMUIuwlHdp1mlrxpmrhTpP9YUXOsHbW/78oqzr/X+yeB41tdqymIgIM03W9Fq46wdgwEeoyKhFNUvxAsZQYRXPGSaB3Ligypjeveuie3dlsYgE24ULx2Do0MYoCRRX5OWls3j/Fy48ZhKNoI5HII4cuaYXbSl+oEsXVqpGrlESqMuKL75QPkuef76ELlv+um5zP1uE/7kPcHCedDa9X4YPZ1EtFHnxwAPLi3TZmsu1FSVkgnIdkUCf87QvZGWxZkVDXQrL+W7/d/h418dIzEy0/XrlqDgPC58VXNDlAq9AIBC4GkK0dSZ8AliBjXeAkmVbUtGLim7o4J8azdUiaHysxVFeA2hH/sk9rKRGvYNOsQqUnfnaZXlUtBIrJun2Atupod/TAbB0e0ZiFe38UMGZuvCMj+QFRRa/yZ7EiBBZ4B4x3XGiLeWhDvoU6PiY9KPnrcv6X9Wvb+VBCBUNkaCWHKeI81rQjgy1yfPMxbh/UG5w1Fg9Fc3t+6Poy1FOc8ZVbdGWO9rPrAe2f1c6LmZLubZcvK/fS3FSmqPlOKByGJB+BTikIdjR4glFaVAm9NCvgVfigQ5FFHiR2HhsGXBgDrDpM5al7UTRCMYHCiYOUTuRlpuGUzdOSXmv6tuTbr9mayCshWE+spqLu1lxGC06kWtZA4N81uRsoPlIQzc2hxbDaHKAYi0oX3XeBCaq888E2gbTtpjY+pV12dgaj6WOcrXVjyMXpMvQRcSLyChPlXJQzRaRmcnA1eKRR9pILkpquH/sMfnziH8GLnsC2DXd+ju4+GHg49qsOK6Cw+MRisy1NWLWLOuiETgk+n32WT/p+aavBQtGY9iwkgm2BEVgcGGQHJ4FBYbvExrXnznzgL5EdORIJUO6Xr0qesF31apTSEm5pReYO3dmom1Zum137EjAzp0sU7dFi1DpfpUY2vcc+hUr+aNFYtVi37hxSkQCdyZT1nBRz1NUlOJYPn78msHrSDhtBeUGPgHI885dlNtyOapatHWXY98KYfv+WH4hu16dBdGWp8tRCaJAIBC4IkK0dUYoioDngVIWaEkg8ZSPFPODcirTIcHQGqct4eFlPveWnMA834lWoKmYpNdrGnmeRmIVFZtRJiUVnVHhmcF1Niq+aNtkEPDUHuDN60D0MOUT3lEEshy+gEJqHmc7EQ0oHmHGHSyzVhZEzI6tk/hryW2bl81yb38fxorkLF1WCxKt/7qXlc1ZMx5vb7o9D9z7NxAzUTlvwf3A/xoBFywUclni1g22ALH8Sctj6rwRnsqaKJ7B2CXKRdtrx9l4OuU1O5rou4CBnwGdnjL9XZyV0QjctdvpCXZ629emgh1/z5C4WLkae60V9V7Ilgt2SBTc8IFSOlYaJW025Kjx7/YWbU3EYXmbJ91Og77Ao1uAXq9q/2cqDaMFq46Pm71+w1H/TLa4RSP4FJ+iziym03yhgYrKTv7LRHW1u6fNfey5vX5Kef1YAX/MdBs+go5eP3JOsLS94lEYYWUj2lJWJnfOctesYRGZbfEIFLOwceN9mD9/FHx9PQ0zavm2gkNiOS0KUd641sIfudvp/UKLIxUctaimHmu3BOW/7tt3RT86rxbtLNG+fTjOn38GFy48qy++sgc8IiEnpwAJCYYTB8uXxyEpiWWD33VXE4SGKqI/ibg8E/fWLSXPt0+fuujQIbzMc22//FJZBH/uuY72LfTin618ukAWq9XvReKNN7oV6aIWTltBhXLaLrgX+PtZx5lCnBxaMK/uWx3BPsp7l0clFBZj8dgYLsR66CyItvI2TsQjCAQCV0WIts4Gtcf/Jos35F71MtxRtgl+EM53xnnLedXGpiUs9obHHpBQxz9s6cB4p9zQTkVnxqISF4ksuVDNUYKSniKhkihyZZKgSm44uMHLPQ9VKzEXTt2abuyxJUcsuY4twQU6c0LslQPArRQWK0HlQwQVVWmNxGtBjoBjS1kEBUVYrHkbSCA3YClBggiVW5GYxaG/h+6XuriuOPhWARr1Z6dlwckswXWByeuBpzTK3qTnTkVpOEnJSdnhYeZmUpN6US6kczOfoWmMJcHOFncsF20p+kO9nXCGiAvV+D532PLv9o5HINFQSxy26nZoEYcWrGis3gyGmbZZLBv17nlAd7mEUQ1/zElAL8xjTh+1y5emMto9pJQ5WnkgoxemK4fBXV5skg62Eln5kzTlwLOQS5nU1Bx94RUJrURgoA908oGcpXgEEo+oSKpY6EVblSBJub60KDR7tPb/oeeMWPOm4f+rgNjitP3jj4PFctmqIdG02M9hscrIVBnRAKZP32vgxjZGHZHA6du3niQwa4m2dP39+v2Bd9/dCEdy4cJNLFp0XDodGuqH8ePtuMhC0Qhp8t9EZZYynp46AycyPa6jRkVb9Rri718SbfnryM/PU4o/EQjKBbRQTovuBPVw2HORpBzRoloLrBuzDn8MUqbd+IKRPZy2XJjVgrtwC4TTViAQuChCtHU2aOT52gn7iiXGeYxcjDFTmFNsIfPvZ4DNnwFnNjABikRNDrkdKeOW8m7PyY3D5FIityMVnFHRmTHS3+0mu42tgA60qTSJ54MeXQIkyY+hPaFR5JkDmRBKbjh5ZKp2YDrCw/3hmys7tnyDWcyDNVm1NFZNhUTGqFvlqSRr0jLg+ROGjjxr8lwDagG7ZwDbvgJmj1JyN8sCM0UnVpFxjYkkXZ9lPx9ZxLI/bRHxKXJCTVmKkvReIRcuOTnJGWsNkmA3WVuwU7tjafx7+VMsAsIa0VZaYHFjsRIUpUKxKFQcR+K7Ezpt9VmspRnDQHEzFO1iA+HhAfrTZ8/esHxhvnB1ZKGyHTA+oKHYCw8ftg0+v8Wq+/BB21fwWcQQhDYfC52ceVxICyka7rrSRivqgMRY7vCzFI9A4hWNwxcLv2qK05a/hxJVj4PWASRFVnDKMOe5NKD8Vr7QQIVd48YtRKtWP6FOna8wc+Z+TbfUn3+yx4+EuvHjy+61pC3aKiI7FautWXNWH4WgFS8QHW1Y7EWlauQ+rlUrQP/63L37kvR309fddy/G2rVn8c47myTHsaP4778zemfao4+2VTKa7cEPnQ0/Z1RMnhwj5Q0TH3zQ26r3G0VM8NioEyeScf78Tb3L1q7uYIHAkdDnL5+O45OFArvFVXEh1lKmbSUvHcKDfFE9oIhjK4FAIKigCNHW2QiQR7epkKjz0/a5TspiJPiBOQlf1IDa85WSXzeVY+39DTjxD7D0MWB6T8W1xXdwarRkp5fKo8PUgv7IZuCBf7UD/ZuPBl6/Agz/qejbp4PteXcDn9Zjbl4qYFpwH3BiRcn/NuPb0bfDM/dwTpNR+Gpna6Rme7FRPxKm1eP3liC3Z8cnWO6olivX6LZQr2fRQrAaLowG1wHa3AvUas9EcIpucHQ7PN02OXtJWLWXaEtC+f8asNcZvTdoB5HKuLQg5yAX8bUwfn5KS7SlxYq9vxvmYVZtAIz5HZgg58haCxfsrh4Brp9Rzle7Y+lx3jcLOL3GOtGWXpP03uTbino92Ag/f/+WEfqRfvng4K4Gd2FUo1GoVJSbvYS340YCttppS9uWj2oCGz40/I/0+NNIvfp50EDdSF+kqGMcSaGVPU4jm63vURaUrKB3ZgYGbP4BfsufRlTdfnjgZip6X7+kEm2L5450RJ6tcdQBF22lSAkVlFF69aphnEKxqCSLcuRk5u+BosRrL9XtuIDoxN225IKeP/8oDh5MlAq4nn56NW7eVC3OUo/d+nO4eJGJ2gMGNLC7a7Yk8QjGZWS//LJPf/rhh2M0x/zV71fusiWhkb46dKilf1zoev/666g+FoKIjWV5s45A/Xd07VrbvldOcUJmaNOmJmJjH8K2bQ9Y5bI1jkggF31+fqGJi1sgKBfwfUoh2hpgj7iqJ3o1wP43+2HKAPPROG0ig7Htld6Y9UB7uDIff/yx9Bn07LOygUXatmbjiSeeQEhICCpXroyRI0ciMdG185cFgoqIEG2dDX95dJuEEhJN7AE/AKVx6twsxSVkPCZuC1yIu3qIlSMRIQ0ML9PpSXY5tcORDngDlTFDAygSwtNXWyD+uiWw9Akly5NcyTRuT6IqxUBwQY7fF3tBt5GZxKIGqJSIhJfwJ/Hcv71w5kYV1Kc8W+6Y5cJ7UVD7OAmqRo4W6W/Ti7YabmhrRqG5MEqPO+1kTvgL8A4Ebl4ALu6BQyG3NTl7eQSG8WvFGoesMRQ5QTuFJGbx4jpqficHrjG0aDA1guUBa0FuZdllqBdOS4Pz24C/n2YCNL0P1Y7N4gpA5Mod9Svw7GHD+6+OR+CvK1WhjCbc0U5j8caufCdAylxVFV682uFVvN3pbVT1NXTC2dtp+3zb57F9/HY80uIRdgG/6kBBLhPK1VDECY3Ur3nL4vWT+Midi0WLtkYLCeayxzs/JWeW3zaccDAHj2NpPBgte7yJ525mYMi5vWzks4ydtjzqwLhUjIu2lC2alZWnP5/ySLnj0CbRlhbBuAibKY/OFyVe00InFUOO+AWuQP/+2pn6GRm5BvECxKefbtOfnjSpbBd6OI0bK9uI/fuvSkI/FZD9+qtSQHbffaoSwCJEW0779sq+09at8Xj99fUGl92zx3GZx+qoCrUobRfu+h6oGQNMXKL569ataxgUsVmDOteW06BBFZvvokBQ6tCU196Z7LSX68Z6HLx2EPf8cw/e3PamaTxCCURbH08dqvh5obI9pwYqILt378a0adPQooXh/slzzz2Hv//+GwsWLMCmTZtw+fJljBgxoszup0AgcAxiC+lsBDhAdKQxfhoFpTFQig+oZZrfZjNVItn3wnzltnyDDC/TbAT7KikJO5kYSbmCJOCQa/H8VsWJSudzYZgEXnvCRVQ6oJEdryalGmkntcfviwu5JUlIIyehWjygHFdy9A38mI3TWyva6vNg7wAOL2Au5NpWFNDZfP/N5KryTE5+33b9zB7X66fZc3efGXd08mkmzpPQ2rAf4B3AYjdoLDz2J6CPsgMpQddJApyWi5tDj+HKF4BKIaWX4ckf8ysHgfn3sEWAexYrJRfFxbi4jJwg3O1NQm5irulItxa8qM4niIl2FC9yfDkTyKkokPKByxBy1Xas0RG1KjN3m6Pw0fmgeqXqqOLNBAVfD6OFI7WgTQsrPIvb0gKLRk7mxo3nkZiYievXsxASYsYtTO8dcr1RxqTxdkANvb+fOWDRIacnNwurL22FWyVf9GjYDz70f2iq4dA8thhFiyHhMXAGpy3PtNUqcIuMDDIReW0SbXmuLRViZiUDhfUUQd6ceE058w+thavw8std0Lp1GAoKbqNJk6qS6Nm8+Y/SuuE338RKJViUd7pjR4JB3MCIEaos8zKEBP+QEF9cv34L27cnoE2b6Rg0qKG+gGz4cMMCMjX0mU5xAHl5TIxQRyhwpy1Bgi2/Ps6ePXbe/9Bw2vr4eEhRDXaFFqQf3mDXq9QqoxNOW0G5gswOZBJwcadtak6qJNzm0uK1zFsd30J2QTYaVSnb7oOKTkZGBiZMmICff/4ZH3zwgf781NRUzJgxA3PmzEHv3r2l82bOnImoqCjs3LkTHTvaIQZRIBA4BcJp62yQuEaQ88leY+y0EkrZsTH3Avt+A2YONh1dtxUS23g2oD1HzWnc99eBbBxeKzLg4DzmWjz8l6GAxd3D9hS9yRFJDe7SbSsfgGdOp6BqpSzUCUpluW38Nrlb2hpuJgA7fwLObTHNs63V1lB4JIcquaXNlZep4W5WdXmRvvxshWPbb9W5qmq4gExiJbXVb/qUZXZS6ZpU8MYK3UzgZVtUlEUCK72eSWCieACt1X11HrA5uFuCRMnSgjKcA8LZAseZdUyMtiUqQgu6HjqYePUS8MgWth2x1mlLZW2vJDB3PxcHSRCn2JG1b6OsqRdYD91rdUe9IOZ0y8jNwM3sm8jnC0V2YkDdAVg3eh0+6vaR9gXo9azzZiIfHcTpY1Pk11tE0TvH6pxMKuYxC01CkJszvC0Q2dlywaI1gi1xdgOmVA3Ai6HVkBEciay8LCS0HotEnY4J9uTaLemCk50zbYmqVRXxXJ1ra+7yxWLQ/9jCSbUmbJoiLxMgsd54WsRFobzUoUMb4667mkiiLS060M/EpUvpUiwA8d57m1UiZjfJweosPPOMskBJ8Q5Tp25VRSOYX8AmMbpXL/b52aNHpEFxVtu2NfXDEWrBlnKAeQYwOXrtDYnmfLGYRGWtWAdnQ8tpS9nAAkG5Qe6vkNCaAnQReFkrj5Ai2oa1RdfwrgikST4bWXbgEl5fchjrjpsf6T+ZmI5h323Fg7+VYqGyE0HxB4MHD0bfvoaGnb179yIvL8/g/CZNmqB27drYsUPeNxUIBBUC59mzFjBIiOLIY7p2YeAnwLBv2Aj/ha3aY+W2wsU4LaHOVkicjN/OYhe0xLhGA4BQ7oZyAxoPZCcdEY9wbhNwbKly2zKVL63BtSk/Ye7IlSwegQREOuC3Nh6B2DUdWP0ysP4DZbyZdhDJSWvspm0yhH0nIZvHQ5iDyqSMnxu6PnLUpZwFrsXBYfASOGMBnxzYoc2AOt1YdAKJtyRk0s4eOWPJBa4FF6nVztLGg4FnjwB9jURFa0W0qKHAwxuBvu+i1KCjfP76Idfw2D+BiBLmc+XnALPuAr5pzTJVvSsDNWThlRzJ1jhtyTFKAi8tENCCyGM7gFb3lH1JmxnuXHYnus3vhrgbDnwNA1h3YR3e2vYW/jkrLxzR41M9ynCMnl6bt1LYdtuK7N9i5dqSM3vyOuBuK/OOyZX7z0usLE2D28fVTnZ3rL2wDoM2P4M3mvcEnj3EFuDKEHPOWbXT1pxoa7PTtiFtZ/uwbRP/rKHn2F05KBUY8sILSr7y55/vwK5dl7B69Wnp58jIQEycWHa5yFq8+WYPbNlyv+QYVkOf2VoFZGrmzh0pfS1YMNrg/IAAbxMH6dixTTF4MNv/IcH2yJEk2BvKE+bOX7tHIzgIEvuNkSaTBILygtqYYubz1RUwLoW1F7vPp2B2bDwOXZSz5TXIziuQfn/iqvK5X95JT09HWlqa/isnJ0fzcvPmzcO+ffswdepUk99dvXoVXl5eCAoynHANDQ2VficQCCoOQrR1NqLvZKJWrzfsX3QiZaXGWj3Ka5toayeRh18Pd23SCDcXSkiMo4PsiYtZLELnJ5URc+60pUb0kjiVSQCjHCsSAUmIJfcsPS91lZzhQxe8pO+1A9OZ03boV6xAjRzN1hIzibk+Kfph0YNAQT7QZBBwzyKgyzOGl6X2WspgJEH2slKkosnTB4AX4phIyiFRpuV4ucTKGw6BYimkBnY3FmFgzGPbgIlLFYc0ufvCW5vPUU1PBBJ2sdONBxkKjZTrqiVckWDv7qF9+xxypdIoqD2jQqyh3UNM3Bv9GxOMSgo9jyQm0s40FWWp4U7b/GwgXxlnswiJvqHRzHXoJKLtvsR9WHJqCeJS4gzbiotauCghR68fxZLTS3Ao+ZB2RAJFs9B7lmh1N+DBtgd2E205PIbBEnQgSeL9rmnAMlXmt/73+Sg4uVr/Y8P63+HVl1kOZyG5sp3APWSYaWtaREZcu5ZVZHGZzdTrxVy3vV4v+XVVYLp1qy05TXlO7N13K1M7r73WTXKoOhtU2LV792T8/PNQfa70G290L9KpGhzsi3HjmhksHHA6dFAy+clZ/MEHvfWPi6NybdUlZI0alQ/h09/f2yDGwc/P08C1LBA4PfTZzhfBXfjzQUu03RC/AYtOLsKVDNuNMgVyNr2Hhe2xu3w8zC9bEYiOjkZgYKD+S0uUTUhIwDPPPIPZs2fDx6cYZdQCgaDCIURbZ4MOninbs8cU+183jaHnpLKMRLWY54xOW2PR9uJuJkzRKDAvMCOhdtIy4I4PDFfESdShy2aUwOkyZwzwWT0mzFAW7AvH2fNCJWkysbKhtKZ/JoIqyzsbtGNRHJcWPV7j57Kxa4otoEIjc2IUCXSU6UrQZS1B94NGnY2FJHJbk+vaUTmlVBjGox3MjVqTa5nG+SlPtvVEy+VXJ1exkiXKEjZXXHdxL3Bmg2GERo1WBs+V00Cj7o9sBqJk17Q96CK3yFJRxrwJLDOX4AcZlty2JIr/NQlY+aJ1ERdlwNLTS/HW9rew+eJmgwMGXhxmL1afW40J/0zADwd+MLwd9eIPj484uxGYO54J4uT6H/ipVbdhk2hrDSTc9/+ILVYcmg+seskwAiXpKAp54RytraTm4WJChkMeR1vhzllyMVaq5Kkp2pqPR7BRtL12kuWEn1nPFgLJdWuPxZQKDBXPPP+8KibozA3pe0REAO691zkKyLTQ6dzx0EMxSEh4DpcvP2+2gMxa1IVcjzzSRnKPlq5oWz6ctsYRCfQ48fIigaDcQNFWhJN8XpYFhTAVbacdmoZ3dryDkzfkfUYb4EKsTmeFaOvIaLdS5tixY1ImLf969dVXTS5D8QdJSUmIiYmBh4eH9EVlY9988410mhy1ubm5uHnzpmEfc2IiwsLKLu5KIBDYHyHaugokBP7cSylfsZSRWFw6PQmMmcXE07CWdhZtT8sOYVWerSVIMB36NRs9507D4kI7BakX2elA7fKj7Ox8HD6Tj1t5skCbVoIDtLrdmfOSxGbKMl54n/nMWX0urRW5tvaEnM65imBilqRj2iVZHPq7KK+YIMcvCatcCNMSbSkGYeg3QJenta+Pspl/6c1KxUhcsybPtqJBQnCt9oqYz6NP6L1AERIvX2ACuRYUUXFsGSse48StYqWFREjZi7ZcVOQHCnqnbQnairVIzErEoWuHEJ8eb/52ItoB0XcBLccykZSc9/TetVR6p6J6dT/JvWd30ZZoPAAYPo253Hf/zPKI6T1F27IaLVFArwVOoRv7csDjaCvcOWvsmuXOSF5Exrl82Q5FZJQtTQtl+2bZ9v9dlFGjoiWRVs0rr3SVMnCdHbqPNov8KiZNaokJE5pLTtwPP2QFMK1ahenduyURbW/ezMaMGftw8WJahRNtRQmZoFzCp/lKYgapgE5be+yP5VvhtNXJvyusQE5bf39/BAQE6L+8vU0nIPv06YPDhw/jwIED+q+2bdtKpWT8tKenJ9atW6f/P3FxcYiPj0enTkUcLwsEgnKF8+9hC+yDesS2elP7Xjc5lCjWwZ4ERbLcz/xbQNpFwDeY3W8SqIoiZqJVN5GengNfX0/T0pSs68xBR+IHj1sw4ty5G7h92w3xqQFoXPUGcHEPsOA+1i4+5o/iR1tQJMLwn4DFk5mItu5doO87ppcjpy09LuSEJJdYNY3x9cML2XVQBi6JS8ZQBAPlBdP1RFrxoZ6dCnzfgZUVUbyBJSfx4M+Bzk+bb9ilAjkpPkGOCiC40zbxCBPo1a9VikBoYyFuomF/dr9SzjDBksrK6P7WZwfRLoFUzPYsKw4zdsfS69ES9FgRVPDGUYvnFJdQxvCDAX5w4CinrXHJhubtUKTGmN+Vn1tNsC6+QIYcZuS23bo1XipySk3NRmCgHUfemo9iz+nK54FtX7MvcrPf+R0WrlbGF28XuklfzuK0zczMRWYmywoMDTXcdphz2nKRl9w5amHXpqzC5FPA2ndZdEnTu2y7LheCIhCo4OvFF9foRfMHHpBjblwELy8d/vxzhMF5lSt7SQLl0aPXcPhwkrS46+NTvN3snJx8dOs2U8rE7dixFnbseLACiLbKhEGDBnLZrkBQnqDPCOL8FqDFGLgitG9U2bMyfCkyToa75rkLtyROW+6m1bxteTersAI5ba0Vdps1M5yM9fPzQ0hIiP78Bx98EM8//zyCg4Ml8fepp56SBNuOHV3IvCIQuADCaetKjJoJRHQABv8PTg85gUPqs9MkUHZ8FHh8e/HyYi1ALpiwsM9Rv/43uH7dyEGamqAUgpnJfuUNzvGpsmOHMmkpfuLSPtuziGlH8M7vmYjZbKT2ZUhcazaCZeGaE08pSoKck0ms2duE2J+A34cCm60b6UbcapYTe+24ki9riSqRzM2tBZWhkSt0yFdApWDFzVk5jAliqhFuqyBRsf3D7PTWL9njNnomG3N2JRoNBFrezTKLKULEWrREW3JAU76nlSP/FcVpy2/HjRZrpIMEK26nGIItJzpaeW8cP54Mu9PuQWT3nopsn3Dk+1bHbe8AKUrg2ecoakTttIVp/EMZkZSkOGhDQytbEG1vmcQjUD4mjb7bBN9O0YLR1i+Ade/Zdj0uCEUNUMkUOUv/979+xRYnKyo8IiE/vxAHDxa/COaTT7bpS8x27rxokN186hTb7wgM9DZ4Xzg7Awc2gLc3254OHdq4rO+OQFB87vyWLepxs4EL0jeyL3bcvQM/9GURUqXptHWrgJm29uLLL7/EkCFDMHLkSHTv3l2KRVi8eHFZ3y2BQGBnxF62K0FiH32VF8gxKI3lKwf0VgmiKWeBywdYBhU1sGswZ85hZGXlIT4+FXPnHsGTT8rj5UQR0QjqHL/4NH9FKCX8a6BEtL6HfVlixHTLv6e8WOOsYTWNBwL/vQ6c2wzcusmc0tbk1BKUmWkOcvAWFbtBztmHmDtLD/2fF06YPrdbvmD5yyTEapWOcTo8wkq4Lu8Hzm1i5XSuBomHw380PX/Xz8w5S4sdWqVrWqItxYpMWgpnQe+0lUVUd1kotbdD1Ph2uHhr79sxzrUlN529HcM9pnhh1y7msvf390LlytNx41oeCn9ui1oR/gZOW2eIR0hMVIu25p22PB6BBDH+f0o06l7JaHGJu/4FRUIO8b17H5YmVoyFdlemXbua+P33g/rF4Q4drH9/x8Ul48MPtxicR6780aObSq7dCxdu6l225SkXNjIyCOfOPSPtc0mlrQJBeYMMB/QlMEDvtC3BfgSPPLC0+Oqlc0ewnxcCxOIgNm7caPAzFZR9//330pdAIKi4CKetwHkZ/Tvw/DGWY5ufY/3/O7IYWHg/sE81xmwEd6wQS5bIjWLFEG250/bf03VwufY9SklBQAlFW3tQlGhLDuaqjYHCfOD0WsvXlZetXGbyepbpqQU9P180AeaMA7KUx9ZqjA9AC/JY9u3ql1n0QVFuOXIeE0ufMJ8H7IpQPi29D64ZvcYtibZOnqPWPbw7htQbgqq+ZtzcTu7odVgZmczZszewa9cl/c/p6bm4ciUDt/N18DnTDL9PeRW47Ya8ZD8EnWuHAXUHwJmctpT7q4YibKhxXh2PQJfnB3o259mq4xE4QrQtFlQYJwRbQwzLyKxvVKfX88MPr0BuruEi0ZYtLGP7zJkU/UdbeYpG4NDiihBsBYKKBd9P4vFStvDR8ObY9kpv3NVKO46OiAiuhH1v9sPGKXI3i0AgELgYQrQVOC98/J/yGadGsDxUa+A5tBbKwU6dUrLhNm06j5SUWzY5bRccawzd4E+Aao3t47S1Fsp+pRzdi3tNz9eLtnXN/39eFEZRCSTMmoPcuLkZgH9NoIaFzMJzW1h5FbldKWPWVvh9Ob8VyEllokotM0Kxms5Psu+Uf2xBrHc5uBibY1hoU55EWz6+zw8Onm3zLKZ2m4pGVTTynO2YnTum8RisH70er3V4rVyJtvv2KUJRw4bBqFOHvR99fT3wxx/DpZF2IudKADw29cADzR6AM4u2arfttWtMtFWPjNesWQLR0Ligj5ciCgQ20qJFqD4nvzhlZDNn7sfmzRek05GRgfpCMy7altc8W4FAUDHYemkrJv83Gd/t/840tqAEE0lV/LwQHuQLfx/rCl0FAoHAFRGircC5odXb+J1AQQ4rJ7MGLpyma+fJ0WgtudE4BQW3sXLlSeUCVGZFuZ51upm9CXK9EOQAk0QGflulJdru/AH4pQ+wcarh+RmJrESNhCcLorMUweDlz2IdyJVMzlYtqNyLF6XRWPrNeODS3qIvV1yoVO3rlsC38gj/iZVKlIOl4jMO5bj2eQuo3dn+pXjlGYo6ILLLr2h7f7P78b8e/0OnGo5twvXSecHf019fslHJsxKqVaoGf3qf2BFyhgYEeDtMtN2/X9nuffZZP2ksOTX1FcRfeQoejeOx/8YuScA1LvZyZtG2WjV2Hi2uFRQU6vNsSxyPQNEsFMHCEU5bQQkhZ3izZtX1728q2SuKxMQMTJmixAZNnz5UEn8JysWlwkIh2goEgrIkMTMRO6/sRFxKnP68R1s8ii96foE2oRrxWwKBQCCwG0K0FTgvJCR+2Yw5OAkqqiqWaKvtcqEc27w8w5HnpUuVnRBJKBz4CdB4gFnR99w5li1Xv34VuGVdZ2Po6tt2NA37se+U4aoW5LjLlgRbnYVVa4pIGD8X0HmzzNoNH2lfrsszQL/3WMHV0aXAV82BlS+Yunt57i138BYXipWg+05O2cxkRbRtMsT66+j2AvDAKsBXtFPr8Q6w7LS940PglQT22Dkpraq3Qv86/RERECH9nF+Yj5yCHLsXaD3U/CFsv3s7Xmjr2MeCnCncbXvhQioyMooWdWwVbVu3ZtsjEolzdRl4av1TeGbDM8y5qivE9exkJN9yQBlaMSHRylymrdppSyPkN29mG4i2JYpHIDo/xb57+AD+YSW7LoFAikiooX+9HjhQdBnZp59uw40bbMrknnta4I476qNr1wj9uvWOHReFaCsQCMqUQrm9lEdIEW3D2qJfZD+E+dn+2fnHjvP4YMUxHLkkmwg0uJmVi7HTdmDMtB02345AIBCUZ4RoK3BeSHQkEY9w9wQ8fSxenA6Q9u+/gizPaoqLMDfLYjQCZ/Xq07h1y4zb1IiEhFRJuCWiG/oDn9UHsm+WbqZt1UZASAOgINcwlzYrmQmx5vJs1dTtBoyZBYS3BTo9YV7cJeG2VlsgsrNUzyRFIPAICYKct+TwJYGwTnfb/h5vfyC4Hju9/w8muHv6AXV72HZ9AiOnrZmdYXJF02Xo8S8nPPjvg2j7Z1usi1/n0Ns5kHQAU2OnYuHJhXa/7uhoJY/3xAn7iqa0DSSCg30RERGgGTNBIqhvnRsIeeMvTPxnIsqapKSsIpy26jKyLCmj126ibSATx6Ts9HJU7iQoH7m2u3cXHZGwcuUp6btO54b//Y8tyHbrpkwWbdlyASdPphjEnggEAkFpUlhoKtrag5WHr+CXredwLllVOm1EfuFtxJ5Lwa5zlO0teisEAoHrIURbQfmgZqsiL/L66+sQEzMdPe5YhNt85DXdtAhE7VjhY8rUarxmzVmgIB+4fACFGcm4fClNc+eAl5AREfVClTKbRzbbLloWFxIXuKv16BLl/KihwOtXgbF/Wnc95CZ+cA0r8yqKytWBiA7sNHcW007cju8U96+HF2yGjyZv/Fi+vr5FCvWCIvAuItO2HLDryi6sPr8aVzLYe1nn7piCMGNO3zyNOSfmYNPFTXa/bkfl2lLWa2IiO/CJialh0DDPM+dItJXiBgrZ7/IL7OtYdmSmLdGz52/4+ed99hNtKSrmmYNAfzPTBgJBicrILhe5CBwXx/ZJOnSopS9269q1tv4ylGvLF5vDwirD35/ttwgEAkFpO23V+xX7Evfhn7P/ID4t3vbrlXflPOQcby3cVbcpd5AKBAKBSyFEW4FzM+YPoGYMMHxakRedO/eIvrE5m7ttNUTbU6cU0fXRR5UcpqVLTwCpCcD0Hsj9pAnCa32B997bZLaEjGjQIFjJjk29ZFueq600H63kyaacM3VPWov6Pu/9Ddj+LZvJXPkicHA+kKcqaeNCMc+wPbMeOLaUZei2fbBkfw8XbSmTV+dVvGgEgW2Ztv+9CSx/CkhmTi9nZNqhaZiyaQr2J+03cHmUpPhCi3kn5uGh/x7CklNLDArJHCEOO0q0VZeQtW5tOK7I/w53d3dJBL0ti7Z5tFDlJPEIlLVbubKXxceLRGnDTNsSFJERdDBIkwmh0SW7HoFApnnzUHh5se0HRRtYcoZJi8Uy/frVM1iMqFePRf3s3HlRvxgjohEEAkFZYFzWSvx29De8vOVlxF6Ntfl682XVVmdBtNWpF6CFaisQCFwQIdoKnJvoYcDDG9iYfhEH/ZQPyVlwYwxzm1aLKkK0bSuViRHLl8ch6yoTP8/fICHADV99FYu8PENxaNMm1vBMREVVVYm2qsiA0oBEzgZ9AdqRIqG1pFzcC/z9DPDfG8Cat4DdPwPLnzQsKeOi7fmtwK0bzA074BPgrh+BOl1KdvuhsmhbPRp46SxzDQtKRuNBwDOHWAyGFseWAftmAbfkeA8nhIuzJDZK3+WPLXuLqefTziP2SiwS0hMcKg47UrQ1zLM1FG3VTtuqVX2B287ntCWXrdrFw5k4sQU+/bQv+vathypVFPd948Yh+pIygcBZIMG2c2cWu0Glp9u3s21KcURbols35rZVZ/A3aiSiEQQCQenD97nUn9FcwC1JZAEXYT10Fpy2KrWiUMQjCAQCF0SItoIKQWzsJYOf318YiNvk1PQzdaXwMUNydNWpE4SBAxtKP1+/fgsfvDhHOh2fyhyKVHqzcaNc7kWGxex8rFhxUp8Z2alTBJAmjz+umoJSp+tz7PulPQBlVs66C/hrEpBm6jAuklptWH4tsf0b9p0yZdWuXRLPSQgvzAdOyW3XHR8FWo4t8Z+id9pei5MzjH1Lfp2uDj13VSLNO6951q2PHKNQDtwdXLy1t5jKM1+5WMu/8xw3exIREahfLHKcaFtD22nrZui0zbdzoVtxKSgoRHJyltloBMLb2wNTpnTBmjUTcf36Szhz5mmsWjUBW7c+AHcL7hyBoKx44AEl0mn6dCXOwziHf+3as/qopvbtwzVFWzXCaSsQCMoKDzcPA6ctF3BLsj9GebXGEQjGqF24QrQVCASuiBBtBRWC2NiLJrmzR44kmVyOXLPnz9/URxvQDsfw4U30v3fPYOJvQqqSk7h48XH96XXrzurb3ocNawwPD3fAtwydL5FdgEnLgckbWazA2Q3MPWmr4Nn3XaDNfabOWjVNBsEhBNRkInHrCUCu+UICgZ0gMZJn3TqxaKt32soiqqNiC4zFYf3tyDlu9oSExqioanonnrUliNaWkJEgbFxWpH4cpYxYWbTlYnVZQYtl/BjMnGirhrbZNDY+YEADg6xbgcCZGDUqGkFBzBX+119HceOGKmZI5uDBq/oFi1696sDTUxFDjHNtOUK0FQgEZcHE6InYP2k/pnabqj9Pv7hdgv0xvdPWQrycWtAV8QgCgcAVEaKtoEI6bWv6p+PEop+Bk/8anH/u3E0UFNw2OPgZNKghE1+pQDyQZSV2HdIZPj4e0uklS05IbjBjAXfECFnsHfgJUL2pVbm7dod2ZOr1YLNDN+TYBp8gwDfI9usb/AXQbjIQ3gZoepfpZUjUpQgDddatPaDbvnc5MOxbTYe0wAbISUu5tZRPbExuBovWcHLRljtd9U5bB8UWGIvD9jgYsSYigQRLe7htSRSi7RvRsmUYdDrDj/cwvzC83uF1PNX6KSlSgDttHRH/YEueLREaKqIOBBUDX19PKdaDT+jMnn24WNEIfB+lWjXDhQkh2goEAmfBnqKtxUxbdzf4eLqjkpdOFJEJBAKXRIi2gnIPjRju3s0iCgIDWaty54grGI3PgC1faEYjENyJRm4Ycm0RkUFMtG3criX692c5ulQAQkUg+fmFWLYsTu9k69evvhIZ8Ph2oOU4lClJx9h3KtUpCe46YPD/gMnrAV9WhGJAUG3g8R1Am3tLdjsCx0MuSoq6oHxidTaxOhpB5w14KjmhzoaxmNqyWkv0juiNmn5KQ7tdnbbuRuKwg5yobdoo8QXqCBZbOXDAfJ4tEewTjHFNxuGuBndJDtWCLE/c2FwHNW8qZYxlmWdrrdNWICgvTJ4coz89ffpek9xHQ9G2vqarXO22JYc+LycTCASCiiDa/npfO6x9vjtaRpg3D3jq3HHi/YE49t4ABPqyaCmBQCBwJYRoKyj3xMUlIy0tRzrdq1dddOgQjktprFE8L+Wi2RIy9fjwtGlD8Prr3dCtubzSG1gLI0YoJWbksN2y5YI0yksMHtxI78R1Cq4eARY9yE77G2ZZClwYb1WWbbYchVCO8my1Ygseav4Qvu79NbqEl7D4rghxmK5/xfAV+KzHZ3AEd9yhiDT//aeIN44oITNGEm3TfHDp17YIPTIAZYkQbQUVlebNQ9GxIysqPXw4Cbt2KRNBFIlC+xRE7dqBJnEmWrm2kZGBUr6zQCAQlDarz6/G0+ufxvwT8/Xn2aMYNiK4EhpU90clL7FtEwgEAnOILaSgQkUjkGBLbpQfPmKuU7fMq2z+WM5DMnTaKmOGNWv644MPegOxjwMpZ4CqjTBkSBUpNoEcthSRkJNTYBqN4CxUbaScdmLXpKCU0XkAnn5AXiaQk2oYO1FORNsnWz+Jmzk30SCIueEdBYnCHu5KyYafp5/05SgaNw5BREQAEhLSsHnzBUnEoZFqR5SQEak5qTiRckL6m6pWVdz4166xTM2yQoi2gorMww/HSJM63G3boQMTcbdsidfvU1A0grqRXU23bpGa+ywCgUBQmpxLPYcNCRtQ1beq/rxRjUahU81OiApWTC4CgUAgsD/CaSuoUCVkJNpSsdjldOa09UA+kKW4a0+e1HbaKlfwMMuoDaiJ4GBfqRyEoKzImTMPSKe9vHRSDq5T4eEFjJ0NVIsCur1Q1vdG4Ez4BGg7bWt3Al5JAO5bCWemZ0RPaaQ/1C/UobfzXpf3sH/iftzbtHRiP0ik4W5byrzcujW+WJEwGzacw8mT101KyDw93dG0KcvLVROXEoeH/nsIb2x9AyEhvoDbbbj75OFamrJNLAsofoYTGsq22wJBRWHMmKYICGCxTfPmHdVPBa1Zc8Zini0nJqYGeveuK+13kAAsEAgEZQF30/JpJCImNAZD6w9Fgyq2L6r/uPEMvvgvDklp2RYvN3nWHkz6dRdSMlkZtEAgELgSQrQVVBinLRlV2ratKblRmjStgaRMX+n8pLOn9ZflTlvKvrWmeVwdkZCVlac/wPL3ZwdhTkXUEOCJnUBY87K+JwJnjEjIMRJtqbyOBF1/x4qh9uatbW+h5ayWmHlkpkNv50LaBXy19yv8eexPh92GYUSCIuIUBbXR9+49C1FR3+OPPw5K26bjx5Ol3zVtWl1zhFof/+DuLrXUB4cD0T8tQ8b9Pxlc7vTpFPz8816kplo+gLIXwmkrqMj4+XlhwgT2mUzv03vuWSwJtjwShfZb+vQxL9rS5NDatRNx48bLGDkyutTut0AgEBQl2tqDGVvP4Zv1p3G9CDF208lr2HzyGm7llW15qkAgEJQFQrQVlGvoIOjQoUS9WMHFVLXbdtfaPXo3W3w8GwknYdeNipnyVTsJ6VeBywcMnLl33tmYJytoCrkCQblx2uawkr3yxo7LO7D54mZpvJ+4jdvSwQMXIR3FpYxLmHFkBpacXuKw2+jTp65++1KcXFteXEaO23vvXYrnn/9XOm0pz5Y/Xh5uTNANruJncjBG19G37yw8/PAKPPDAcpQGQrQVuFIh2d9/n8Qdd/yp328hJ21RC8jkyq9USZTvCASCsoMXKfIIKeLkjZPYEL8BZ1Ntz+UvKGT7Hx7u2hExHJ28s8T3dQQCgcCVEKKtoFyzb98VFBTc1kcjqIVVXkZ2aOt+aWfj7NkbUrwt0bKJL/BlNPDbYIC3wx9bDkzvAfz9tP56atTwR6dOEQaul2HDGpfSXycQ2NFpaxyPcHQJsPwp4NgyODPv7ngXT6x7AufTzhscMJSk+EKL6Yem46l1T2HbpW0OvR01ISGVpOkAgkScK1esE9YvX1YuR9u0adP26n82J9oau2RCqihCUXYuW7xKSEjFhQup+vJFdfyCo0VbOh6zZvpBIChvUMb0e+/1lCZ8jLEUjSAQCATOAl/4Vedv/xX3F57e8DRWnVtl8/XmyyKsrijRVv59gRBtBQKBCyJEW0GFyrPltGgRimVJvXHnvGH45t9grFp12qCErGl9byDzGnBxF3BCzvRMTWDfAxWR1rh0rEePSCEsCMoXQ78CnjkENL3L8PyEXcC+WcClfXBmjB2iXHS0t9P2cPJhbLy4EVcyrzj0dixFJKxda51b5cqVDLO/0yohIwrkxSkuRlcNUVyt168z4fTUKcN822+/jUVpZdqSgE3FjwJBReTNN3vg6tUXsXDhaGkSiDJqKev23ntblfVdEwgEAqudtu4q6YDvJ5VkcbvAStGW/7qQu28EAoHAhRBHSIIKkWdLtG+viLa0Ejzg8clYHtcAiZl+eOON9QauseoNGwPdp7Aftn7J7GqpsgAcyNqdOePGNdMXiTzySBsH/0UCgZ0Jqg1UiQQ8WcaznmzmqIRPIJyZQnl0jh8c2OMgQfN25Ovjoib/zg9USifX9myxnLZhYZXxzjs9DCYBWrYMtc5pG6yItknJTARWL2wRVL5482Z2qThtRTSCoKLj4+Mh5dIuXjxWyqi9fPl5NGmiNLELBAKBs6Lfh6A+BBm+P1GS/SRrnba0f8PuhxBtBQKB62HaViIQlCN27WKiLeW9UaatGnKz0Kjw/v1Xpa8bNxTxgTJtEf0IsP1b4PI+4PwWs6JteHgAjh17XBIXzLnYBIJyRzkRbfUFWvLBARdTuXPUUaN/peW07dixFipX9kJGRq5UUER5bfzgRPN+FhTi6lUmsoaH++Ptt3siONgXn366HQ891NpsSaLx46h22l6TnbbGcQiZmXn49df9eP75TnAEmZm5+oJHIdoKXAmRUSsQCMoTz7V5Ds/EPAOodk/ssZ/EM2o9VGKwpUzbAsclVgkEAoHTIpy2gnJLYmKGPn+RciGNR2vdbhfi5+eBV7vGwtO9AOfP39T/rnH1dMC7MtB6ouK2NSPacuFWCLaCckn8TuC/N4GD88ulaGvsgHWY07awdG7HGBqT7tWrjj4q4PBhVlBkjmvXsvQHOZS5TTz1VAckJDwnCbjmaFilIV5o8wLGNh4r/VwthGV+E8nXMzTjEYhvv90lCcWOLiELDRWirUAgEAgEzojOXQdPnSc83ZUFJx6VYKvTlv5fcZy2pNsKp61AIHBFhNNWUK4gN9rOnRdx4kQyNm++oJlnq8fNHTEX3kWbPplYfLwh4q4HS2eHhPgicPFIIO0SMPo3YM+vwJn1yv8zyrQVCMo1Vw4C278Bmg4HWjLBzlC0DYIzo3eIyi6MuoF10blmZ9QOqG3X2zGOD9A7eh3stOURCdQqT/z33xm0bKldJmZcQlazpiK8FgU9bvTFqV7ND6mxtXC70A0prXIMRFtyAXbtWlu6L7TYtXx5HIYPj4Kj8myl+yOctgKBoBRJzshBVk4Bgvw8EeAjnM8CQXHh+2UlWdxe8VRXSYgNKmL6YNdrfQxK0AQCgcCVEKKtoNyQknIL0dHfGxzoWxZt3eBWtSFw5QCaVE3Ri7YtmlQG0mRXbd3uQLORwOG/2M86b6CSyJgTVCC8A9j37LQK4bQd03iM9GVvuDjLb+f/7N0HeFNlFwfwQ/feg0Ipsy17U/beSxEEUURAUcEJLsSFigO3+KngYCgyBJQpQ0D2HgXKKnt3Q/du8z3nTW96kyZt0qZN0vx/PpGsJjf73v8973kbeDWg1cNXi8qSyqbZ1/b117vqvG5MTHFoK1Xaloe/nxvdmtdJHE+draD8/EK6evW+ON2okQ9Nm9ZRhLZs7tzDlRLayittEdoCQFVasO8azdt1hZ7sWp/eG97U1IsDYNbWXFpDh2IO0YC6A6hv3b5qlbbl3bnNIWzz2vqtgyKwBQBrZlB7hHnz5lHLli3Jw8NDHDp37kybN2/Wef3FixeLL1n5wcnJyRjLDVZo8+ZLWgPbLl3q0NChYdr/yE95/pCI4uE03ZrkKo9wOOviQ9T9VaJBnxH1e5+o+yu867iSHgGACTgVhbY5lhnavt7hdXqr41vk46Tc6VJZNCttne2cKdwnnBp4NqDKFhrqQyEhytdh376bpQ41VK+01T+0TcpKotMJp+lGqnKEgp+fi+qyxMRMunEjWQS30vIMHNiIwsN9xendu29QZGQMGRtCWwAwlT0XE8S/C/dfM/WiAJi9qMQo2nRtE11KvqQ6r3dIb3q307s0sN5Aky4bAEB1Z1ClbXBwMM2ZM4dCQ0PFRuVvv/1GDz74IEVGRlKzZs20/g2Hu9HR0arT2FMGFZ10jL39dncaPJhDBT+18EFXaPtg1xo05Q/un0TUo2kOUUrxZRTQWHkAqI4c3bVX2k47rQxu3c27V/PI0JFVcj8LBy4Uwa0U2lYl/l0MC/OlmzdTKDs7n9LScsnDw9Gooe3u27tp1oFZ1DO4J33f93vl92YNBdWwUVBCYoZaP1sObbl/3EsvdaTnn98kzvv77/NG7+vNfckl6GkLAFUpNqV4cloAMGzHNmvl30ocyisnv4B+3XuNbGrUoKe71yc7W93rX7PWnaG41Bx6bWA4NQrQvzUUAIDVhbbDhw9XO/3xxx+L6ttDhw7pDG15Y7RmTd39+QD0dfToXdVxns2cZ0wvE7dH4EDA5i5t2/YB3bqVSr2DNxDtK74MwCraI2hW2nKFrZlX2WqzIGoB/RL1Cz3U6CGaETHDqJNs8H+S5Oxk+jP6T9Ee4cnmT1Jl06x81RXaxsQUB51BQW6G9wYu2uDy93elpvPXko1jAcWu86dLl4onYAwNVVbYShOksStXlK0TjAmVtgBgKpjOCKBioW1FZecW0hdblYVdHNqWZs+lRLqWmEFPlXE9AIDqqNzfvAUFBbRixQrKyMgQbRJ0SU9Pp7p161KdOnVEVe7Zs2fLvO2cnBxKTU1VHdLSiiuLwDrl5RXQiRMxqiowvQJbklXTJl6ivn3q08SJrcn23mX1ywCsoT2CZqWtheAeakdijlBeQZ44nVeYRxl5GZRdULlVUim5KfT9ye/pl9O/UFXw83NWC211KW+lbWGhem9gT09HUiiUI1/uJ2fSxYtJquvydyyrV694krpr15LJ2OLjix8nQlsAAADLCW3vpN8R62hXk6+W6zbzi9ZLmK1N6SNxpYsLCrG7BQCsj8GhbVRUFLm5uZGjoyNNmTKF1qxZQ02bam/gHx4eTgsXLqR169bRH3/8ITYau3TpQrdvF00CpcOnn35Knp6eqoOu2wfrERUVTzk5ykqxDh20TDqmi08DIl7ByEkhSo9XnpdY1I8JoS1YA8eiatq8DKKCfOXx+zeI1r9ItPsLMmfchufpf5+mp/59ilJzU9VCx4LC8k18ocs3x7+hN/a8QdH3otU2TMo7wUZFK211kSptuX2BIUFnviJfVVHMRJ95WWir3h5BWWnr7Gyvqua9dg2VtgBQfZTWOxwAdIS2sujgn6v/iHW038/9Xq7blAJYDmTLap8ohbqFCG0BwAoZHNpyEHvy5Ek6fPgwTZ06lSZMmEDnzp3Tel2uwH3iiSeodevW1LNnT/r777/J39+ffvrpp1LvY+bMmZSSkqI66Lp9sB5Hjxb3s42IqKX/H9o7ET26gmjqQSIXZRBBbccTtX6cKBA7A8AKOHsRPbuX6OVTyh0YLOUW0YnfiU7/SZawkSAPaysrTN13Zx9tvrZZTNglv7+q2rDXN7SVKm25B6xtKf3f9KmSqVG0CnA/JUsV2rq5Oaj1l61f31v8y5NAZmYqq52N3dPW2dlO3C8AQFVB9AOgv0IquQ4hHZevqxkivyiAtdNjAmjue8sKsLMFAKyQQT1tmYODAzVq1Egcb9euHR09epTmzp1bZhDL7O3tqU2bNnT5ctHwdB24ipcPEm6RANZNPgmZQZW2LExjVtNOU420VAAWgCsrg1qqn8cTkDEz72krD2ZtilbqpTC1vBsJZYaaRfdjjpW2BQWFFBubbnBrBPnjk54/qWKGN3+yc/Po2h1lJS1PiCaveKlf34sOHLgljl+/nkxNm/qTsSttucoWk5QCQFUa2yGE5u++Io7nFRSSvQE7wQCsjbYdvxVdT5IqbctqjaAW2qLSFgCsUIXXULjlAfeg1bcPLrdXCAoy79nKwXwnIbO1rUFt2mBiO4AKscDQtrIrbaXb07wfY4fDFQltExIyVUMDg4IMC201JyJTHi9qlWCjIKl4RepnKw9tJRVpkXDvXhaNHbuaXn11K+XnF4oAWnqcaI0AAFVten/lZLSuDraUlVc1O+cALNUHXT6g/Y/up9Hho1XnSa0SyjsiSQpg7fQIbVXtEVBpCwBWyKBKW25bMHjwYAoJCRGTgy1btox27dpFW7duFZdzK4TatWuLnrTsww8/pE6dOonK3OTkZPriiy/oxo0bNHny5Mp5NFAtpafn0tmzCeJ4y5aBos+iQZJvEp1dQ2RjRxQ2iIgnNOJet3YYjgtW4tgiovvXiNo8QeTXyGJCW3lgKoWNUk/WSqu0rWG+lbbqk5Ape83qq01AG5raaiqF+4SrzrOtYUPi0dUo3ggqGdoq2yNUdDKyN9/cTn/+qZyINDzcj0aMaKwKihHaAkBVc7C1oaufDBH9wQGgdM52zsT/yUkjZKTWCeVtj8AFOWWRPqeyucsAAKyGQaFtfHy8CGZjYmLEBGEtW7YUgW3//v3F5Tdv3lQNLWX379+np59+mmJjY8nb21u0Uzhw4AAmFgODnDgRo6ou69DBgH62kpTbRNveI/IKIUqIJjrxG1GP14n6vGP8hQUwR5FLiO4cJ6rTyaJCW22VtgEuASKArOdRz7j3VTSxmXQ/8jYCHOjKK1RNFdrGxBSHtoZW2vJzxge5mjlN6MzZm1SYbVdiEjJjVtry41my5LTq9Cef7KX27Yu/y+U9dAEAKhtXBt6+n0Wujnbk7WKP9iwA5aBqV1XOJLW2lzOtntKZ9Pn4/flMJ/Ev2pgAgDUyKLRdsGBBqZdz1a3cN998Iw4AxpuEzMB+tswvTPlv8i2imFNF5xVXmwFUe44eyn9zivqDW0hoK98QkELT/nX7i4PR70uj0tbNwY2WDF4iTtegyt+g9/UtDm2TkrL0qLQ1LLTVZkDhZNr0nXKkTGVW2v700zHKzs5Xnb5xI4W++uqg6jQqbQGgKnE7hO6f7xTHz304kFwcDJ7iA8CqLL+wnKLvRdMDDR+gtoFtjVJp6+xgS+3rqa9z6OJkX7wjHQDA2mAtBczekSPKfrblmoSMufgSOXsTZd0nijmpPM9P2csMwCo4FYW22ZYV2jraOdJr7V8Tgaq88rUySBsd0v3Y29hT64DWVFWcnOzI1dWeMjLy9GyPYFhom5iVSPez75O3kzf5OfuJ8/z9S4almpW2wcEeYuhiQYGiXKFtbm4B/fDDUXGct++klgjLlkWproPQFgCqUkZO8SiOZ5ccp5mDm1DTWkW/kwBQwoE7B2jX7V3U0r+lKrRtG9BWrKMZe+QTAACoQ2gLZu/IEWWlrYuLfflmLuekgKttbx0uPs+3kRGXEMBCKm1TbxNlJBIN/pyo15tEDob1RTVFD7UJzSZUyX2te3Ad5SvyycWuuOK1qnGLhIyMlFLaI6SrjgcFGfbaLTu/jH6J+oXGNRlHb0a8qbo/OS8vJ/L1Ve9ZZ2dnQyEhniKwLU97hJUrz6qW+6GHmlBqag5t335V7ToIbQGgKmXmFlf+772USE92y6amhNAWoKx2VfKRR018m4hDecWnZtOG0zHk5WxPo9oFl3rd+buvUHRsGj3eqS61q1s8AggAwBqgMQyYtYSEDLp+XVnd1a5dkAgQykVeWesRTORo3mEVgFFJFbX75xKteEz5/ucezy76DUszJ1uvb6XeK3vT67tfN+rtuti7kIeDB9nxhIVFPW5/P/s7LT6zmHILcqkqSCFqUlKmqo+3sSptpQ0ueW/e/yW/Ts1+/YtcG8erWiNo6+0otUhIScmh+/e1t27Q1Tfym28OqU5Pm9aR3nuvR4nrBQbi+xgATFNpy7Jyq2bCSQBLpRqNVDQZrDHcup9Jszeeo//9d6nM6+67lEhrIu/QrXvad2oDAFRnCG3BrB09Km+NUI5JyCTyHrZojQDWJmygskUIB5KV3GbAmHIKcuhk/Ek6m3hWdR4HqDzUPzmnfP1VDdlA+eLYF/TV8a8oK1//oNIYoS23IkhJydYZ2vIsyoZWp0o9e+VtJmrYFFINOwWRrUJrawTtk5Hp/7zv23dTTCQp7XTr1i2EunevS716qQ+lRKUtAJiq0pZl5KifBgDtcwzIK23vZd8T62hXkq+U6zbzCxSqdZqySNcp0LJDGwCgukNoC9V7EjLNycg0jwNYg/o9iGZcJ3oviejJzWQp4jPjafzm8TRp66SSsxUXhZDG8snhT2jWgVkiEJbfT2Xcly7ydgXaWiRIbQYCA13J1sAZlLVV2jrY24t/a9goN4LCwrRXXjdoIJ+MTP8WCd9+W9ySZtq0TqoqXs1qW4S2AFCVMjQqa3liMgDQv+8/231rt1hH++rYV+W6TSmAtdMjtLUtukqh1BgfAMCKILSF6j0JmaRuZ6IhXxJ1e4UofLBxFg4AKpUUlsqDRmlonhRCGsuGKxvo70t/U3pueolqEnMIbQsKCik2Nr1crRHE3xcWlNjgsrMtOm5j/Erb6OhEWrv2gqr/7pgxzVSXcaVtjx51xXF/fxdxAACoKpkalbWa7RIAoOz1Mel4edeRCooCWFubsuMIm6KdvghtAcAaYSIyMFvcD1GahIwnx5EHB+Xq6RnxtPEWDgAqnbbq0MqqtJXuS7p9rgrl++X7MYfQNiGhuM9tUJB7+R+frB9d8WOVQlvtlbZST1vNStv09Fz655+LIoCVLxN/d7/44mbV8r7wQgQ5OMjaMtSoQStXPkw//niUhg4NM7hqGACgImp7O9O4jiG09PBNcTpLo10CAFR+aJtftI6gzypAcXuEct0VAIBFQ2gLZov7N0rBRbt2tbROkAMA1b+Hml0NuxIbCcautFVtkMgqPqTQ1tj3VZ7QVn0SMjejbnCVt9KWg9nFi0+Sj48zHTr0lOrvV68+R9u2XRXHQ0I86eWXO2qdfOyDD3ob/DgAACqqZbCXOLg52dFPu69STj6SIIDSfNPrGzHPgKejZ8nQtqh1gqFy8pR/52hX9lwLtkXbgFJ1LgCANUFoC2YrKko5ozlr1SrQpMsCAGZWaVsU6Br7vuTtA/h4PuWbRaWtPLQtT6Vtl1pdyM3ejVr7t1adJz2v3NN2xIjG5OXlpPVvueesi4s9ZWbmqUJbrrJdseKMOH7vXhYNGbJMBLdcUTt9+lbV386dO4hcXR0MXl4AgMr22oBwmjGwsV4TIQFYM2+n4hE3xhr5lJWnrHB3ttcjtC36jPJIHgAAa4PQFszW6dNxquMtWgSYdFkAoOpJGwLyINXdwZ0a+zSmep71KuW+tFWimkOlbUyMvNLW8NC2X91+4iDXzK8ZOdg60Ne/P0H9GnfT+bc8yqFePS86dy5BtEfgtgebN1+i7OziIcWXL9+jESP+pDZtatKdO8plHTIklB58MNzgZQUAqEyp2Xnie8zV0Q6BLUA5SSMgyxvadm3kR0ueiiA3x7LjiE9HtaDZI5qTi6zVEgCAtUBoCxZRaduiBSptAayNtpYFbQPb0qrhqyrvvmSh7fd9vicFKcjf2Z/Mqz2C4aGtNm90eEPv63KLBA5tc3IKxIRof/11XnWZs7MdZWXl0759N8WBOTra0nffDUJbGwAwO99uu0QL91+jqb0a0oxBjU29OABmb/GZxRSXGUejw0ZTA68GajvUy1v9GuDuJA768HCyL9d9AABUBwhtwWxFRSkrbW1ta1CTJn6mXhwAqGL+Lv70fOvnycWuOMysDPIqEXlVb0RQBFUlnnBRkpSUpXZZTEy66nhQkOE9bROzEik7P5u8HL3IzcHwv5f3tT1/PoH++eeSOO7t7USbNo2jvn1/F+0TJDNndqOGDbVPbAYAYEqZRROPXYxNo+eXnqB6fi70+kCEtwC6bLq2ic7fO09da3dVhbb873Otn6Mg1yBTLx4AQLWG0BbMUl5egajqYuHhfuSox9AZAKheAlwCaEqrKZV+PzWoBu0cs5MKCgvIw8GDTMXXt/IqbT8/8jltvr6ZZnSYQY83fdzgv69fv7if3S+/nBA9bdmDDzamTp2CafnyUTRixArigpuGDb1pxgzd7RYAAEwpI1fZ8iYjN592XIinNiHFO6UAoJTRSFQ8GqmBZwOa2mpquW/z+I17dDEunZrV8hATA5bm7xO36fiN+zSgWU3qGVY1o58AAMxF8TcvgBm5eDGJ8opmFUU/WwCQnE06S0P+HkKTt0422m3yEH4/Zz8KdA0kW5viStsNVzbQnxf+pPvZ96kq8CReHh6OpYa23H+RJwYzxqRuM/bMoC7LutC6y+sMqrRdteqc6vjIkcrqtAceCKe1a8fShAmtaMOGR8nJCTvaAMA8ZeYoK2393JTft1lFIS4AaFdIym0yY7Y82ng6hmb+HUWbz8SWed1DV5No6eGbdOZOitHuHwDAUmCrCsy+n23LluhnC2CNMvMy6VbaLXK2c6YQjxBxXl5BnjivKnxz/BtKyEqglv4ttc6cXFl9bVNTc7RMRKZsjxAY6Eq2tjZGmdQtKz+L0vLSKKcgx6BKW57Ah7m5OVD//g1V53NwywcAAHPGFbby0FY6DQDaSX1r5esQGXkZdDvttpjQtL5nfYNvMztPubPExb7sycVsiyYMlNY/AACsCSptwSydPq3sZ8tQaQtgnU4nnqaHNzxML+98WXWeVCla3tmKteHQ8pPDn9BnRz6jvMK8kvdVVGFSlZOR3buXRQUFyvvlf3nyr4pMQqaqtJVN6mZnY6f3cymvtJUMHRqKiloAsDiZRZW1/u6otAUwZB1CXml7Kv6UWEd7Y4/+k5pq+xw6O5Qd2toU3W9BOSc9AwCwZAhtwewrbVu0QKUtgDUqLCxZHSodlzYgjBXaLr+wnP44/weRbHtAui9pOaoytOXtkvv3s8XxhIRMVXVJUFD5QlttlbZSKK3Pc+np6UQ+PsUTpbFRo5qUa1kAAEwpo6g9gn9Rpa0UHgFA6ZW28hZLUoBb3vWxrHKEtqi0BQBrhBIZMEtRUcpKW3d3B6pb19PUiwMAJqCtD6sqaCw03ka2PJTVel9GDIj1DW0Zt0jg0+qTkLmV63bzFfk6Q1t9q5a52pYrgBlX2A4eHFquZQEAMCWezOhuchY18HdVhbYcBnHPcADQb8evdFwKdA2VVdQewdmQ9gjIbAHACiG0BbOTkpJNN26kqKpsjdn0HgAsR0WrQ/Ulvy15aCtNSmbMVgxl8fMrrmaV+tpev56sOq+87RGkYFrt8UmVxHqHtt50/HiMOD5wYEPR0xYAwNLMGKScQDFT1ss2O7+AXBywWQSgzS8DfqHcglyq6VpTdZ60fVbedSSp0tYF7REAAEqFtRMwO2fOyFsjoJ8tgLWSqkPlfVgNDRr1Id0WB5rynUTmUGnLTp4snlm5efPyfSf2DuktJnOTTxZi6ONr1Kh4MrKRI9EaAQAsG1f4Rb0/QIS1UiUfAJRUy61WifMqOseA1JbESY9KW+njifYIAGCNENqCWfezbdkS/WwBrJW2SltHO0eq61GXPBw8KrUNg/x+q7bStmRoe+KEsrqVtW0bVK7bfbTxoyXO4+expX9L8nf21+s2Jk1qQ2vWXKCQEE8aM6ZZuZYDAMCUOPRJy84nF0dbsre1IXcne1MvEoBFqug60gcPNqOk9BxqVqvsNngv9GlEE7vWw+cVAKwSQlswO6dPK/vZMlTaAlgvbWFqHfc6tPGhjUa9H1WlrcbcnG9GvElZ+VkU5h1GpgxtIyOVlbZeXk5Ur56X0e7rmZbPiIO+wsJ86cKFF4x2/wAAVS0lK4/azN4mjl/6eLAIbgGgdL9G/UqZeZliB7C/i79R2iN0qOej93W9XBzEAQDAGiG0BbOutC3vUGAAsHz1PerTk82fpNputaskHJZ62Eo6BnWkqqYZ2sbGpqsmImvTpma5e3wnZyeLx8kVyva2qFQBAOuUUdTH1sHORgS2n2+5QLfuZ9HLfUOpUUD5JnoEqO6Wnl9KiVmJNLDeQFVoG+AcINbRvByNtzMZAABKQmgLZoVnII2KUlba1qnjQd7exZPyAIB1CfcJF4fKxhNrbHpoEynI9L3SfH2LQ9ukpCyKjKx4awT23I7nKCoxiv7X53/Uq06vCi8nAIAlkiY/ci2a/Oi/C/F0ITaNHmlfB6EtgB69/yVBbkE0vd30ct/mqmO3yNHelgY0DSyzr+2eiwni0LauNw1pUf51IQAAS4QxQWBWbt1KpZSUHHG8RQv0swUAdUlZSTRy/Uh6eP3DRrtNext7quNRR0zUJbfvzj5ad3kdxaQXB6dVXWkrtUaoaGirrdXEjyd/pL4r+4phjwAA1iBDNWO9sm7FuSi8lSpwAUC/OQYqoqBQQa+vPk0vLY9UTUhWmhM379Ov+67RvsuJRrl/AABLgkpbMCtSlS1DP1sA65aWmyaG9TvbO5Ofs59qw+HS/UtUgyp/pu/5p+bTqYRT9G3vb0VFSVXw8XFWC22NMQmZrg2u9Lx0is+Kp9Tc1HLfLgCAJcnMUYazro7K70LXovBWqsAFAN07fuUtmvIK8ig2M1asjwW7Bxt0e1l5xZ835zKqbJlt0f3yiEwAAGuDSlsw20nIWrZEpS2ANdt6fSsNWTOEPjjwgeo8qVKUWxkYa+U9ITOBvj7+dYmK04rOjFwednY25O3tVCK0dXGxp9BQ/Sft0KfSVvX4Cqvu8QEAmBIqbQEMJ61vyXf8Xk+9TkP+HkLjNo0z+PbkO0mc7MuOI2xsaqgqdAEArA1CWzDbSchQaQtg3bT1UJNvMEhBZEUlZSfRojOLaNn5ZWrnS/drrPsxtEXCrVspdO1asjjeunVNsq3ALOdSMCt//qTjVf34AABMJTNXvdLWpSi0RaUtgGGVttI6Unl2bEufN66y1WeCVVtVaGvwXQEAWDyEtmBWTp5U9m+0t7eh8HDlcGgAsO6NBFub4qDRxqb4Z8tYFbDaqlBNWYkqhbY5OcUhQtu2NY3+GCuywQUAYIlqejjR8Fa1qFN9X7WKW336agJYK22VthUKbYvaI0g7TcpSlNlSIdojAIAVQk9bMBsZGbl04UKiahIyBz1/yAHAeipt7WoU/2wZq0JUWxUqk6o/TFVpK9emTcV66qp62soCcOk4Km0BwFp0bOArDhIpNEJ7BADd/hjyh1iP8Hf2N0poK1W8O+nRz1Z5X8r1MYS2AGCNENqCWVXZSr/F7dpVzaQ/AGC+Cgp1V4dWaaVtFVeiagttKzIJGetXtx8lZiWSr1NxWIFKWwCwdtP7h9FLfUPJFYUCADqF+4SXOK8qK22L2yMgtAUA64PQFszG8ePGmSUdAKoHaUNAXl3L1aEBzgGiTYKxJiLTVtErP23q0JZHHTRtWlzdUh7T200vcR5XzIR5h1GAC/qHA4B1yMkvEDPR2xX1CHdzxKYQQHlUZB0pLNCdfnisLTna6depcUTr2tQ91I/cnewNvi8AAEuHNRUwy9AWlbYAoK0C1t7GnnaM2VHp98MmNZ9EwxsOp+Z+zcmUoW3z5gGV0i7m4bCHxQEAwFrM3niO/jh0k14pqrAFgNLxDvKfT/8s1pEeb/o4Ods5V3g0kp+bIw1tqf+2nrergzgAAFgjhLZgNk6cUIa2dnY2oqctAFi3Jr5N6NHGj1ILvxaVej+qfq8aPW071OxApqAZ2lZ0EjKWkZdBNagGOdk5lQinAQCsRWbRBI9O9srvwVO3kmnF0ZtU19eVpvRsaOKlAzA/ClLQ9ye/F8dHh41WhbYu9i5iHc3OBnECAEBlwrcsmIXMzDw6dy5BVVXm5IS3JoC161KrizhUNg6FVw9fTfa25jHsrmRoW/GRB4P/Gkz3c+7TmgfWUCPvRhW+PQAASyRNOObioFzPvH0/i5YfuUUR9XwQ2gJoIa+klSZoZR4OHvRWx7fKdZuX49PpQmwq1fVxpRbBnmVe/8ydFPr3bCzV83OlkW2Dy3WfAACWCuU2YBZOnYqlwqLm8saoKgOA6mvilon02D+PiYm1jIGrRXiSjQaeDdTOP5N4hrbd2EY3Um9QVfL1VVaxSNq0CTJeCwib4p/9DVc20LA1w2jOkTkVvn0AAEuQmav8LnR1VI6scCn6NzNPGeaCcV2OTxMtKf6345KpFwWMENoaa6TOjvNx9MKySFq0/5pe1z8fk0rf/XeZ1p+6S9bk008/pQ4dOpC7uzsFBATQiBEjKDo6Wu062dnZ9Pzzz5Ovry+5ubnRqFGjKC4uzmTLDADGh9AWzLCfbS2TLgsAmIf03HQRzGbmZZYIU6MSoyi3ILdS7//3s7/TK7teoT2395CpKm1tbGpQy5aBldICIi03TQTS8ZnxFb59AABLkJGjXmnrYm+rFuaCcSWk5dKCfddo7ck7pl4UMEJoK1+H4PN5HY3XIQydGDYrT/l5c9azX7+tjbLCt6i+x2rs3r1bBLKHDh2ibdu2UV5eHg0YMIAyMjJU15k+fTpt2LCBVq1aJa5/9+5dGjlypEmXGwCMC2PQwaz62TJMQgYAbMGZBfRr1K/0eJPHaUbEjBKVHlL1aEVdS7lGW65voSDXIBrRaETx/RRVpZZnkg1jhbZNmviRi4t9pUy2VpFJRAAALLrStii0dXW0U+t1C5XjTnKWqRcBjNwegXf89l7ZWxyPHB9JdjX0jxWyij6HLnqGtjZF9yuNyrQWW7ZsUTu9ePFiUXF7/Phx6tGjB6WkpNCCBQto2bJl1KdPH3GdRYsWUZMmTUTQ26lTJxMtOQAYEyptwawqbW1tjVNVBgCWT1vQWBlh49WUq/TjyR9p9cXVWu/HWOGwvnx8nKlr1zri+LhxxpmETVulrRRKV/XjAwAwdU9bqT2CVOmXWXQ+GNfCouHv2XmFlF1UXQnVoz2C/Hi5K22LKt3LwqOOWEE1CW3T0tIoNTVVdcjJydHr7zikZT4+PuJfDm+5+rZfv36q6zRu3JhCQkLo4MGDlbT0AFDVUGkLJpeVlUdnzyqH5zZrFkDOzuYxGRAAmFZhYcmgsTIqbbUFmvL7qepKVK5k2blzAl2/nkyNGilXzCsjAJeqYlBpCwDWolsjP4pNySZfV0e1Sj8pRALjkod5iek5FOytPtEmmL9CKju05XUMe7I3uNLWuajivSy2RZW2BQaGw+aqadOmaqdnzZpF77//fpnrxNOmTaOuXbtS8+bNxXmxsbHk4OBAXl5eatcNDAwUlwFA9YDQFkzu9Ok4KiiQJiFDawQA0LPStijUrSgptNR1PwWFVb8xb29vS6Ghvka7PW2P0djhNwCAuft0ZEu101Jv27wCBeXmF5KDHQYhGlNKVp7qeEIaQltL5GLnQksGLyEFKdRaIMjXJwzd+ZupqrTV7/NWVGhrcEWvuTp37hzVrl1bddrRUbkTqTTc2/bMmTO0b9++Sl46ADA3CG3B5NDPFgAMCVMrq9JW1/1Uh0rUgXUHUr4in5zsnEo+PiOF3wAAlsbd0Y72v9mHXB1syd62uF8nVE5oC5bHzsaOWge0LnG+WnsEMixMzVb1tLWzyvYI7u7u5OHhoff1X3jhBdq4cSPt2bOHgoODVefXrFmTcnNzKTk5Wa3aNi4uTlwGANUDQlswm362DKEtAEikUNbWRr1tgaejpwggjX0/OkNb2dBAS/V5z89LnOfu4E513OuQv4u/SZYJAKAqcZUeF+pJARDj47W9nE26XFYT2qYjtK1ObGRT4xi6E/2p7vVpYLOa1L6et17X71Tfl9Y935XcnOys7jvrxRdfpDVr1tCuXbuofv36ape3a9eO7O3taceOHTRq1ChxXnR0NN28eZM6d+5soqUGAGOzrm8+MOvQllecW7XCXkEAKD1MXTdinVHvR1dP22ENhlFT36bU2KexUe/PXPSq00scAACsQXxaDnX8ZIeorj39/gDRPxyqJrT9a2pnahWs3ncTLENmXqaYqJV3oI9rMs4oE5F1aehH1FD/63u62FMrF+t7/3BLhGXLltG6detEda7Up9bT05OcnZ3Fv0899RS98sorYnIyrt7lkJcD206dOpl68QHASBDagkllZ+fTmTPKSciaNvUnFxdMQgYASm0C2lB+YT419q7c0FTqWasZDvNwQG1DAi0Nb0xxMM2PDyEFAFirjBzlCA3+GpR/F37/3yW6m5JNU3o0pBBf9Fw1lpz8AsrOU+4UbeTvTna26BdsiVJzU+mLY1+INgmaoe2IRiPEDm++DIxv3rx54t9evdR3sC9atIgmTpwojn/zzTdkY2MjKm1zcnJo4MCB9OOPP5pkeQGgcuAbFkyKA9v8fOUKHSYhAwC5Bxo+IA6VrWednvTHkD/I3d6dqqPM/EzqtExZcXFk3BFytsNQYACwPplFfTRdHdU3f9ZE3qErCRk0vGUthLZGxO3Sn+pWX1TbulvZsPbqRNdoJN7xMbvr7HLd5q7oeNEFt31db3J3Krtg5/b9TNpwKoa8XexpbEQIWQt9KpidnJzohx9+EAcAqJ6wyxNMavv2q6rj6GcLAPp4Z9879OTWJyn6XrRRbs/HyYda+beiBl4N1M6/nnKd9t7eS1eSr5Alk/eak290HY87TqM3jKYZe2aYaMkAAKq+0tbZQT18kiZDysozXq90UD7P7w5rSs/3bkQfbzpPX/9rnN9sqFq6JmutiNdXn6ZJi47SrXtZel3/ZlImfbblAi3Yd81oywAAYCkQ2oLJbNgQTe+885/qdLdu1rPnFAD066OWnptOeYXFE5mwqMQoOhp7lFJyUir1/tdeXkvP7XhO9HKzZIVc7lREvtGVkZdBF+5doGsp2AgCACuqtNWYsd6lKMSVLgfjupeRK8K2vyPvmHpRoALVntpCW16PSMtNUwW7+soq+qxJn72ySO1MCg3snQsAUB0gtAWT2LXrOo0evYoKCpQ/vs8/3wHtEQBAzawDs6jz8s7054U/1c6XNhwMna1Yl3NJ5+i3s7/Rntt7tN6PoRsjllJpKx239McHAKCPjNx8rUERQtvKq2yOTckmj6LWCAlpOQZPWAVmNCmsltig5589qcvyLhSXEaf37fF7ICuvQGvVuy62NlJoq/fdAABUGwhtocodPXqHhg9fTjk5yh/sxx5rQd99N9jUiwUA5rqhoFHdYeywkdsEfHnsS9p4daP6/djYGjUcNhXpearB/8km3zF2+A0AYM4yc7T3tHUpOp1Z1D4BjOPfc7HU6dMdNPPvKHE6J7+Q0vAcW5xCKlqH0DKRaXnWI3ILCqmgKH3VP7RV/iv9HQCANUFoC1Xq/v0sGjJkGaWn54rTw4aF0eLFD5JN0R5UAICyJr8wdthY1v1YeiWq9DxpPj5U2gKANfF3d6SeYf7Uoran2vku9kWVtkXVf2AcKZnK1kaBHk7k7lhcbQuW2WJJcx1Cvp5kSAV1dm7xOodz0WevLDZojwAAVgxTeUKV2rTpEiUmZorjPXrUpZUrHyZ7PX+wAcBKK21tKrfSVtckG9Ul1NT5+Gyqx+MDANBH78YB4qBJqryV+myCcSRnKUNbD2d7EZhzlW1iWg419Hcz9aKBAWq51aKf+/+sPbQlw3eiS60R7G1rkL1UQqtvaItKWwCwQghtoUodOVI8CcE773QnZ2d7ky4PAJgvnRWwNsattNXVhqG6tA9wsHWgnsE9yc5G/Sdfel4t/fEBAFTE870b0VPd6pO3q4OpF6VaSSkKbT2d7cnP3ZGuJmZQQjoqbS2Ni70Lda7VufQJwopaKOgjs6i3tJMBRTtST9sCVNoCgBVCaAtV6siRu6rj7dvXMumyAIB50xWmOto6koON8Tauq3t7BD9nP/q+7/daw1y+zNvJ2yTLBQBgDrgKFCovtPVyUVbaMrRHqF6k9SZD2iP4ujrSnJEtDLqf+n6utOKZTuRoh86OAGB9ENqC0f3993l67bV/aeLE1vTeez1V5+fmFlBkZIw4HhrqQ97eziZcSgAwZwevJNGBKwlETiXD1IUDF1ZJONwpqBO9GfEmNfBsQNVRU9+mtHPMTlMvBgBAlZix+jRtPH2XXhsYTpO61jf14lR7qbJK23eHNqVZw5uSjwuqmS1NUlYS7bi5g9zs3WhIgyFaK20NGbHj6WJPYyNCDFoGbmHSqYGvQX8DAFBdILQFo+JeQy+/vIVu306l99/fRc8914H8/FzEZVFRcZRTNHNvRERtEy8pAJizp38/Rrlu9ckm10n0UzNFz1cONfkAAACWLz0nnzJyC1T9MSVn7qTQ+lN3KcTHhR7vVNdky1ed2yPU9HQy9eJAOd1Jv0OzD82mWq61SoS2fUP6Unpeugh0AQCgciC0BSEpKZNeemmLqICdNaunas+poXbtui4CW8YjZXbsuEqPPNK8RD9bhLYAUJpxnULop929ycHWhtoFtqvU+3qg4QPUNqAtBboEUnV08f5FGrtxLAW4BNCWUVtMvTgAACaRUdRL08VBffTGlYR0+nnPVerayBehrRH1axJIdX1dqZ6vq6kXBSphxzZ7r/N7Bt9efGo2XYhNEy0zmgR56L0DYG3kHdHbFp9RALA2CG1B+OijPbRsWZQ4PnRoKHXoUL5QdcmS02qnt269ogptjx4t7meL0BYAStO3cSD9tPsq1fIqWZ0z79Q8OpN4hh5v8rjOyTEMUce9jjhoSsxKpOsp18nL0YsaeTciS5VfmE95hXmUV6CsepJXz8zcO1NMMjK/33yTLR8AQFXILBrtxUOt5VwclKczii4H43i2Z0PV8ZtJmbT4wHVysLOhNwc3NulygWEUpNAZ2pbHwatJ9PKKk2InydLJnfT6m+TMXJq1/iy5OdohtAUAq4Nu3iCax69ff1F1+tSpuHLdTmZmHq1efU7tvH//vaJqTi9V2trZ2VDr1jUrtMwAUL0FevCkJQUUm5pZYoILDmz33N5DsRmxlboM/938jyZtnUT/i/wfVYsqGRv1n/ycghyKjI+kqATlDjsAAGustJVOZ+UitK0sqdl5tHD/NfrrxG1TLwoYqKBQe99/6TLeKWzIhK3S58zZXv1zWBqppUlBof4TngEAVBcIbYGio5Po6tX7stOJ5bqdtWsvUHp6rtp5d+6k0fnziZSWlkPnziWI81q1CiQnJxR5A4B2MSlZtO9yIrnUm0/2jd6kTVd2qF0ubTgYMvFFaTi4XBm9skR4KU2AZsjGiDmSnifNCd2qy+MDANBHZq6uSltbtVAXKo7DtdiUbBHQ8Y7XAHfeEUuUlJ6D4K0aVdoOXzuc2i5pS6cT1Eda6vM5dC6qcNeHjY004RneOwBgfRDaAv3zT3GVLbtwIanCrRFGjCge+rR162U6fjxG9LhlaI0AAKU5cu0evb3mDMeJ4nRqVn6lho3/Xv9XTLLx363/KjUcNrd+dNXl8QEA6CMjR1elrTI8QqWt8XA42+nTHdRs1hax/u/j6kBcLMl57b0M9QIPsNyettJ5UrCrj6w8qdJW/xjCtqjSlie8BgCwNghtgf7555La6QsXyq60zc7OF9WzktjYdNEKgdWt60mzZ/dWXfbvv1fVJiHr0KFyZ4IHAMt2JT5d/Gtjo1w593VzqtSwUdogqUHqEzDa2lSPSlRpaCMqbQHAmrUJ8aL2db3Jy8VB7XwpxJUqAKHieOIo5uFsL6ok7WxtyNdV+bwnyLYfwPxJ61raQltpvUlaz9CHtHNE2lmiD6m7UyEqbQHACmGMupVLScmmvXtvqp137dp9ysnJJ0eN4WOSpKRMatlyPiUkZNCMGV3p3Xd70vLlUaq9n48/3pKaNfOn2rXdRXuE3buvk61tcRiCSlsAKM2VhAzxr5+7PSXlErk5qm9gSxsOxgobVe0DikLa6laJikpbAACin8a313q+qqdtXoFYl5WGYkPFQ1tPZ3vVeX5ujpSYnksJ6QhtLUm4dzh92/tbcrV3LXGZtPO3PJW2Tgb0tBWfyBr5VKiwE+02ahRV3gIAWAOEtlZu27arlJ+vHnwUFCjoypX71LSpv9a/Wb8+mu7eTRPHP/poL61bF005shl3x49vKX5MBwxoSIsWnaSsrHzatElZzevm5kCNG/tV6mMCAMt2JUFZaSutz2tWiKrCRgMqO8oVahYNRrH0SlR3B3fqWLMj1XRVnwDSzsbOqM8jAGg37tdDlJadT5+ObEHNanmaenFAA1febpnWnVzs7cQQfqic0Nbf3ZEuxKah0tbC+Dr7Ut+Qvlovk8JTgyYiKwptNduUlOZ+TiK5hb9Lijxvyi8cRPa2+v8tAIClQ2hr5eStETp3DqaDB2+rJiPTFdrKWx2wqKh4tdYH4eHKUHbgQGVoy6TRLO3b1yJbW3TlAADteIKSq4nKSltFUU/b83fTqGNQ5Q3rl26nRDhsUz0qUZv4NqFfB/5a4nx+vFw5w2E1KlcAKs+ZO6kixLK3tRGVnIkZORTgrt72BUzH1qYGNa7pYerFqFaSM7WHtiw+LdtkywXGVZ4RO8NaBFEDP1dqW9db77+5nxdLNWooyM/dkWy1tGkAAKjOENpakT//PEMbN16i117rTK1a1RQbDlIFrIuLPT37bDtVaFtaX9vDh5WhLW/fN28eoBbacpWtpG/fBuI68vZDERHoZwsAut25n0W5+YXkYGdDOfnKSWM2n4mnie2KrzO762z6qOtHWvurGbNfW5h3GL3c9mUKcpUlxtWIt5M3HXrskKkXA6Bay84rUFUd8vDwV1edEpMtrprSmWp5OZt68azGrXuZNGTuXhH67Hytl6kXx6p62kreHNSYZg5uIiYlA8sRmxFLR2OPkq+TL3Wp3UV7ewQDes12aeQnDoaIz4wR/zbyCUH7EgCwOghtrcT58wn02GN/i6B2w4Zo2rZtvDg/Pl5Z0da3b30R5Eqio5O03k5WVh6dPh0njjdrFkDHjj1DH3+8h+bM2U916njQ+PGtVNf183Ohdu1q0bFjd1XnoZ8tAOjTGoGrMOp4taV9V69Qik3xRp98WL+x6Kq0beDZgBq0aGDU+wIA6xKXqqwqdC7q93LyVjLdSc6iCQuP0D8vdRc7qKDypefkUxrP16Cjj+aCfddEBejELvUoyBNhurFCWy9ZaBvggepyS3Q28Sy9te8tau3fukRo2y6wHQW6BoqdwJVpWINh1L12d8rMz6zU+wEAMEcIba3Eu+/uVE0UlpKSQ/37L6F+/YrDiKFDQykszFd1Wlel7YkTMaLnrVQ16+BgSx980JveeKMrOTnZlWh9wC0S5KFthw4IbQFAt7Yh3vTbkxFUUFhI/m6taNuefXSvaEhlZRnfdDz1C+lHDb0aUnW05/Yemrl3JrXyb0U/9vvR1IsDYFXiUpX9OwM9HEWF4R+TO9KD3++jS/HptO7kHRrdvo6pF9EqxBaF5746qjx/P3idbiRl0oCmgQhtjaBpLQ96uF0wtTNgCDyYp8KiVlXaRjfNiJhh8O1F3U6h3IJCahTgptY+ozTcvsnLyYv4PwAAa4Pd+1aAQ9O//jqvdh4Ht/LzhgwJFS0SQkI8VZW22oa6SK0RWMeOwarjrq4OWnvV8mRkksBAV1GNCwCgi6eLPfUM86c+jQNFyMES03Mov6C4f+2aS2votd2v0ZbrW4xyn419GlPvkN4U4hGidn56bjqdTTpLl+9fJkuWU5BDqbmplJGnHFkhySvIo2e3PUuT/51MWflZJls+AGsICwOLqgxreznT092VO83n776i2qEOletKvHIUR8MAV62XS5XQmbmW3cPcXAxsVpO+HN2KRrYt3lbgCvMPNpyl2RvPmXTZwDgtpMpr5prTNGreATpx475Rbg8AoLpDaGsF3nprh+r4Z5/1ox496qpd3rJlINWpowxrGzdW9hhKTs5WtU7QNQmZPq0OOnUKpuBgZVA7eHAoJroBAL35ujmKCWI400hMz1Wdf/7eedp6fStdul88kWJlOJVwisZuHEsz982k6rrBdeDuATocc5jyCpVDWQHAuOJS1ENb9ljHEHJ3sqMrCRm07byy5RRULn6uWUN/N62XuzoqBx9m5CC0rSyZOfm0aP91Wn1cOX8GWAapiMdYoW1W0Y4RZwftrUq0eXPvmzTnyBy6l33PKMsAAGBJENpWczt3XqNt266K4/Xre9G0aZ1o06bH1ILb4cPDVMfDw31L7WsrVdpyVS5PQlYWbp/w339P0K+/DqdvvhlY4ccDANUDV5c98/sxGvvzQTFRj+SHnZfFkGFeqR+wuh+5hL1NNg5xqmo1ee9ZqRdtRR2JOULrr6ynG6k3KjwrsjkqLNTes1e+ASZdBwCMy9Hehur5ulBdXxfVee5O9jS+k3I9bN6uKwZN4gMV65euK7R1KQqQuK8tVNy9jFzxOy5/b/sXtTrifrc5+Zb9u2pNStvxyyN12ixpQ9tvbNf79rLzCtU+c2XJzMukf67+Q0vPLzX6nAYAAJYAoW01xitKM2cWV9l+8EEvEaJyK4N//nmMpkxpRw8/3JRee624qbxUaautry1X3l6/niyOt2sXRHZ6Tp4RGupLTz3Vlry8MAEBACgdvJpE/56Lo0NX79GaSOXOoPsZufTF1mh6ecVJKlQoKKcwh6hGPnczo9iiarXKCFN5Q+DtfW/TkdgjauerwmELDzR1bXDJT1t6MA1grp7oXI92vd6bXh0Qrnb+pK71xSRkCWk5lJCu7HsLledqGaFti9rKEWdzNl+gEzfLN2wb4XuxMT8dpCbvbaGDV4oLQLh/qb2tcsSdfPQMWG6lbUFhAeUX5hu0DpGZm6/WkqQst9OVldkeDh7iAABgbRDaVmPr10erKmObNfOnxx5robrMzc2B5s0bRqtWjVYLU9UrbRMr1BoBAECXLg19qV+TQHH8p91XqKBQQVcTlRvVtTydxFBVKSz98MEW1LauV6WFqVLFro3GT2K1qbSVHp+N+uPjdjXSYzRW1TIA6IerDlc+25l2vd6LAtyxU7sy5RUUUtdGftSslgfV99fe0/blfqHUPdRP9LR9avFRSsvWr2VMbn4h3bqXSS+viKTBc/ciuC3C1bTMQzbRFP/m+Lspq215ZwVYBmkdSFuLu/KsQ2TlGdYe4XaaMrQNdi/ujwwAYE0MCm3nzZtHLVu2JA8PD3Ho3Lkzbd68udS/WbVqFTVu3JicnJyoRYsWtGnTpoouM+jp668PqY5//HEfrROFaVKvtFVvj3D4cHEPqo4dEdoCQPnxyv/csa3Jy8Weridl0pYzsXSlqI92wwA3tQ2FnqGBaqGGscPUsipRFWTZG+HSxpRme4TqFEwDWKLWdbzIXo91M6gYfo7njm1D/7zUndyKetdqcrSzpZ/Gt6NODXxo9ojmooWFPvZfSaTun++kdSfv0oXYNDpzJ9XIS2/ZoS1X18pJLRIQ2lqOdoHtaE73OTSp2aQSl0lBrr6hLbfGktoj6F1pK4W2bghtAcA6GbSmGBwcTHPmzKHjx4/TsWPHqE+fPvTggw/S2bNntV7/wIED9Oijj9JTTz1FkZGRNGLECHE4c+aMsZYfdMjJyVeFrA0aeNMDD6gPy9OlVi13UYWrvdL2ruo4Km0BoKKTUHA17YTO9cTxebsv02WN4au6KkSNXR2qCjVttPd85eF/lszL0Yta+LWgeh7K51rO2P2BAaAYV112++w/Gv6/fZRYSgsErgQ9fLXkPALmKjU7jx76cT99/W80VScuDna0/OlONKxlLb3/5th19YmR/j0XS9aO+9RzBTLzdNEe2qJ3sOWo416HhjYYSh2DOlZ4HSJb1suYP2/6uJV2S7UcAADWyKDQdvjw4TRkyBAKDQ2lsLAw+vjjj8nNzY0OHSqu6JSbO3cuDRo0iF5//XVq0qQJzZ49m9q2bUvff/+9sZYfdDh1Ko5yimbA7dq1jtYhLdrw9aQWCdeuJYvwV9ozKrVHCAx0pZAQZe8vAABDnI9JpYhPttPnWy6IQGNCl3qi2oKrk347cF1cp2HR8FWp+vO/8wm0KSpGdRtSuFrZlbbVJdDsHdKblg1dRq93eL3EZQ42DmJiD0t/jADmKDkzj27fz6KoOynk7mSnMwDt9cUuevSXQ3QjSTnawNytOXGHIm8m03f/XRaBs7lLycyjfD2XU76+zNWid5OzSr3+0evK/rdcocv+PRtH1k6qsrWpQeSmEcw1KNopK+9TD5bL0Epbmxo16K0hjWlav1By1HNuFKmnLdojAIC1KveYrIKCAlqxYgVlZGSINgnaHDx4kPr166d23sCBA8X5pcnJyaHU1FTVIS0trbyLabUOHSpuZdCpk2E/cuHhfqqg9vJlZQUB/5ucrFzB6tgxWO8QGABAbv7uK5SWnU8372WK7xEfVwcaG1GH3B3tKKeoMkez0va9defpm20XVbcxucVkOvTYIXqjwxuV2j4gwCWAnmn5DD3W5DGqrg48doAix0diYwigEsSmKteb+HuOh99r4+FkT6GBblSoIPp5z1WypMfFzt01/3YAr646RU3f20priya91Mcfh25Qu9nb6MtSqolz8gvo1C3lBL1vDGpMtjY1KDouja4nWkb4XhX9bG04uZWZ1LUeHXizT4mJ+cB83Uq9RdtvbKeohKgSl0lzAegb2jrZ29IzPRrStH5hJd4buiRlKUchYD0FAKyVwaFtVFSUqK51dHSkKVOm0Jo1a6hp06ZarxsbG0uBgcqJZiR8ms8vzaeffkqenp6qg67bB90OHix/aNu4cfFkZBcuJJboZxsRof+wMQAAyc2kTNpwStlmZUrPhqrzX+oTKibj4Q1eeU/bDjU7UHOftqQotFMLCRxtHcnV3pUcbJWtXCqr0jbQNZBebPMiTWg2wSj3AwDWJa7oeyugaEi4LlOLvg9XHb9tEcPGL8QUB7UFFjDxFk9ymVtQSH5Fk2DpIzTAjfILFbTjfLzOKl0eIcI7GzmUb1PHS1Vtu+2cdVfb6upny4I8namWl7MJlgrKa++dvTR913RadHZRicsa+zQWbRP8nIvnRDG2P4f9Sbsf2U1tAtpU2n0AAFSr0DY8PJxOnjxJhw8fpqlTp9KECRPo3LlzRl2omTNnUkpKiupg7Nu3pkpbZ2c7atlSPTjXt9KWRUcr924ePlxcncCVtgAAhlq4/5qoJuMZupvXLm6x4u3qQN4uDrTjlZ60YEJ7VcDxy4Bf6Of+vxIVuojq3MxcZbsWY5vaaqqYZKOlX0uqjlZdXEX9VvWjz458ZupFAbDK0LamZ/FEitpE1PehtiFeog/oov3KNjHm7FxRaPvX1M7UNsS7xOXc6mbAN7vpSlGfclPi9g28w5A1DFC23tFHu7reIozlAPKIRt9azX62fF0eOTKgaU1x2tr72nJY+3C7YBrQtPTtD31bVoBpSZOx8mik5MxcGr/gME1cdES0dnmp7Uv064BfqXtwd71uKy07j07eSjbou0GMynLyETvsAQCskcGhrYODAzVq1IjatWsnKmJbtWoletdqU7NmTYqLU9/bzKf5/NJwFa+Hh4fq4O7ubuhiWrXY2HS6fl05XKtDh9pkp2fPIEnjxn5qlbZ376bR7t03VOd16IBKWwAw3N5LCeLfJ4omH5PjYXL1/Fypb5NAtfYrPNO3i4NyWHFcqnIinwN3DtC7+9+l1RdXG2W5uEqEJ9kIcgtSOz+vII+uplylaynXyJKl56ZTXGYcpeSklLjsvf3v0Ys7XlTNzgwAxhObovzOqulRemjL33lTezUSx/84eEOEIeYqPSefuLiWv6bDa3povc6czRfoYlw6vbryFJnajaRMUTHLvyNlvQ5ydrY21LdxQKl9ao/dUPaz7VBPGVz3bxpIzWp5UI9Qf9Gz3VqFBbrTl6Nb0dtDtY+UvJOcJUK/Ad/ssernyVJIrQ8KC4kmLjpKey8l0q7oBJq8+JhqYll9nb2bSiN+2E/P/H6skpYWAKD6KXdPW0lhYaHoQasN97rdsWOH2nnbtm3T2QMXjEPeyqBTp9oG/31oqI9YGWcrVpyh2rW/pjNn4lWBrmcZFSMAAJq4SvZqUZ+/1nW89P47DjOkDW1p4pJLyZdo7eW1dCyuclf6efKLB9c+SOM2jSNLpqv9A9t/dz/tur2LUnPNvy8lgKWJK2p1EKhHWMgBIQ/JT8vJp2WHb5K54h1pR97uR8ff6S+OczsHrp6T+2tqF/EvV9SZenI1qaKPe6UbOh/DgGY1Ve0OtIWL/JoNbl6TOjdQFjvwsP9/XupOL/YNxdwPpfBxcaBDV5PEOoFUtQ3mH9oeuZ4sPtNeLvZiYkWuQJ+1/oxBtyWFvC4aE9Tp8t/N/+jF/16kldEry7HkAABWGNpy24I9e/bQ9evXRW9bPr1r1y4aN065QfvEE0+I8yQvv/wybdmyhb766iu6cOECvf/++3Ts2DF64YUXjP9IwCj9bJmzsz3VrasMVfLy1IcuPfFE9Rw+DACV60JsmqjO8nd3FIeyZOVnUZflXajbim7k76Hc+JV6PUoThhUUGlbhocvBuwfFJBuJWcoe3hLpfvSdYMNcSctvZ1NyI6m6PEYAc+TlbE/1/Vypjo9Lmdfl0QbPFvW25Wo0c8etA15cHkkRH++gzWfU2wE0reVBvcL9xXFTT65WHNrq3xpBwq18nO1tRWWottdkbEQIzXu8HbUILm73A0QZOfkinNNVRevsYCuqkUurYgbzIa0fJKTmkquDLS2eFEGLJnagJkEeVOi7Uqyr6RuqZuUp19v4c6WPs0lnadetXXTh3oUKPAIAAMum326uIvHx8SKYjYmJEROEtWzZkrZu3Ur9+/cXl9+8eZNsbIpz4C5dutCyZcvonXfeobfeeotCQ0Np7dq11Lx5c+M/EijRz7a8oS0bNiyUvv/+qDjerl0QDRkSSsOGhVFEhOGVuwAA/m6ONL1fmKqKvywcyKblponjbT140pJ0VaWtVDEqVZCWhjcav9txmRYduEb5Bdo3IBu1+ZmupFykef3m0f4oP1p17Da93C+UejerHoFmaZW2hjyXAGCYNwY1Fgd9Pdi6FjUKcFONRlgbeYfeWXtG9MT9ekwrahms/yiFqhDs7azq7TqmfR1V+wSuwOXJ1XgINU+uxt+nAe6mGaV1JT5DVWlrKJ7pvkeYH209G0f/notT68VeVmjJj71NiJdVTrr1xdZoWnzgOr3QuxG9NjBcZxUzP6d8mN4/rMqXEfQnrQO5ONjT9xPaq76f/nmxG725b4NYV8sp0D7qVlNmUaUtB/f6kFo31XFXfr8AAFgjg0LbBQsWlHo5V91qGj16tDhA1cjPL6SjR5Wzs9et60lBQeXrB/ztt4PoscdaUL16XuW+DQAACVea8Ya7vuQh4riO9WlYixBRvWVodSgX+iSkZ1Nypu4ekdLtcIDJ1UGJ6Tn07toz9FZBYLUIbeWPTxMqbQHMh72tjVr7GJ5Ei0PQy/HpNGHhEVr5bGcKDTTtOtljvxwiBzsbem9YU9HLdZ4IbZW9XXk5B8/dQz3D/OmXJ9qLydVO3EwWk6vNMCC8NiZexuz8AmqjZcI0fYzvVI+6h/qLfrVyR6/fEzsj6/q6lGiFwBM18ePmAJ5fM65KNrW7yVmi1RBXdFe21Czl7y0PodeFW0vwopyPSaVb9zL1qkYH05DWD4a0qEVdGhbPe8LvJWm94k5yJsWnZlNAGa1gDK205TZVLNgdk2ADgPUyKLQF88e9ZzOLwonyVtkyW1sb6twZezUBwDTkoW2Her5qgaM0okOf6lDeqJj9YHPqFRZAoYHaK61e2vuzKsB8qW8o5eQX0vIjN+mzLRfJpZHlV6FKbSSkgFZrpa2RWk0AgPEMal5ThI2vrjpFp24l0+MLDtPqKV1MFnBl5xWIXqSFCqLPRtlRuxAfcT73JuWdXf+ei6W8AoU4SJOrPf37MVpx5CZN6xdKjnb6BTXGxC0M+FBe3UL9xEHTa6tOiUnOfn8ygnqEKYf6S757tA2Nnn9QhNg84dbSyR3J3cmeTKWwUEEjfzxAClLQkqc6UoC7I3m5VF6QnFwU2no6637M3q4OFFHfhw5dvSeqbZ/qVr/SlgfK54edl6lDPR/qHtydvJ28qa5H3RLXkdYrFuy7QgX3r+qcfE6Sreppa1ilbbAbQlsAsF4VnogMql9rBAAAYyooVND2c3Gi0kffmaLllZ+aFaL6VIcevJJEufnKyzk86Nc0kOr6umo9yCtRuSLqk4ea06MRdahQoaxIKuApky2Yr7MvNfJqRP4u6sECQ6UtQOWIScmiDh9vp5E/7tf7e08TB31crbl4YgcKC3SjuNQcEdxyRZspXIxLE4Gtr6uDCP48XewpvKjy9/iN+6r+pAOaBaqqKV/pH0YbXuxmksC2svDzz4EtF9i2DinZsiLY20WEo/x7cvp2Ck3+7ZgIvE0l6k4KxaZmi/fPW39H0eC5e1W/j5UhpSi05QmrSjOgqTTRm3pPZDC9X/ZcFW0unlh4mDxs6tLDYQ9Th5odSlyvBinXk2rUUIgJFJMzc/Vqj+CkR2ibkZdB97LvieOotAUAa4ZK22qmopOQAVSXkPDF5SfIyc6WvhrTCrM4m9j1pAya/PsxMRzuzAcDybaGYdWhPDx454V48e+jESFqfVj7fLWLEtJK9lLj6/YK86f549uVGRZIgaUUYPL75aMRLSgx6x4dyidSUCEduZZEEfV9yRKNazJOHLQxpGrZXC3ef030T5w7tg21kg0tr672XUqkt9dG0RcPtxKVamCeYlKyxXeTg61NhX+DuCqRQ0Cu3uSw8ImFR0QQyu0UqtK5osm4uFWN9Jja1/Om6Lg0+ud0jJhZnvVvEqga6cCjF0yFAyT+Lajl6VyhtgAcQnJ/4Vnrz4oh/7yOwRrX9CAPHRW0HLZzFe6jPx+iw9fu0asrT9EP49qSKXAFNOvXJJBO306m+LQcWnfyDo0u6kNcWaGtRymVtoxbTvCyDWkRJE7za9X50x1q1+HPz5Pd6tPzvRtVyrJCSVwZ//Gm8+L4i31CS+3LbGujXG/yd3egO0kFtOTgDXqxlM98xwY+4juhpR79oaUqWy9HL3J3QKs+ALBeqLStppW2Dg621KaNcg82gLXhHmmbomLp78g7dPNepqkXx+pJG/qNg9zJVs8NZ3n1K28A8izls9adFRVrA+sNpJ1jdtLnPT6n9Ox8StNy4MK2mp7OZC+bHNOQibp4Ob8c1Z4CFP0pN6mHmGinOloxdAVFjo+kTkGdyBItPXyD3t9wjq4nZdLnW61jdmk/dwfxHv9gg/LzAOZJqoYN9HA0yu0FejiJYfYN/FzFJE7c77aqnYspCm2DlP3FGQ+fZutPKedT4Mm3dPW1zMzNp6q08XQMdftsJ03543iFboerZLnqkPFnT6oWHNy89PVsnrhswcQO4vfkn6gYirqdQqYgVUAPbxWkakMwf/cV0TahMkPb0tojMG7zseKZzvRE53qq8zR/y5MycsVzP2/XlUpZVlDHO19mrokSx5/t0YCe69WQbqTeoAN3DtC1lGs6K2071FfuMOUdqDw3gC6dGviK6nse/VSW+zn3ydnOGa0RAMDqodK2GklKyqSLF5PE8bZtg8jRES8vWCcepik5ev2+GAIPpqNtQ78sdjZ21NK/JdnVsBOTvbDcgkJ6bukJGt+5rmoyjFVTOquqnuR4ZuIgT/1m7ZaCL82er55ObrTxsS9o+/k4Gt6qFlVHDramnyCnvDgkemftGdXp/ZeTRN/P6l5t6+vqKHZWnM1IFRV8vBEM5ic2RQptS5+YxxAccu14tafJRo/IK20lXO39WMcQMTRaPuRds1XEu2vP0pWEdNr+Sk+9d95VFN8f48nCKoJfwwMz+1CibFQHT8ZWu5QKRPnz80CrWrT3UgLdTcmiFsFlVxga09WEdLoUn052NjWoV7hy8q/vd16mKwkZtO18HA1sVtNkoa0mF3tb+u/VnmrnbYqKoS//vUifbblAEfW9qV1djC6oLLui42nan5Fipze3iHpzcGPxXbP28lr6NepXerzJ4zQjYoba39RxryPW1brVa0DHvJ3p9v0sWnX8lloQX168M/nwY4cpMx/FFwBg3ZDqVSNHjtxRHe/UqbZJlwXAlHhWZwlXSD7cDnvpTUna0G9iQGjL/VeXDlmqOu3n5kCJ6bm0+UysGB6+b0Yf0U/RGIH89PbTKSM3g2q719Ya/soDW64US83Kp5qexgtiKtu8U/No09VNNLbxWJ1tEiwND/F95c+TYuNyfKe6lJGTL0LcU7erZ2i7/3KiqNT78IFm5O/uSGM6BNMfh26K6jOEtuYprijgM2Zoy0wV2HJVJo9i0dwBx0OnZw5uTKuO3RITkEn9bOU4vDt24x4lZ+bR5jMxNKxl1ewE42CSNfTXPgmlIbgNgq5WCGV5e2gTcnNsQU72Vd/Xd9s5ZZVt54a+qhD1ic516YedV+jHXVdoQNNAo76neCcqh9T8WnsbONkZt7BooPFavdAnlLLyCkS7q7Yh3kZbTlB39m6KqEjnz/CwlkGiRZT0vpBGPml7nzzV4ilxYFk9rtO7687ST7uvilZW2tq33EzKpNyCAvG9qM/kfHyfrvYovAAA64bQthrZvfuG0frZnrmTQtP+PCn6DvHKF1T/4VDvbzirNjFFPV8X0SOynp/lrSx9OrKFmADk94M31AJcMHGlraw6y1AB7k4itOUqoelDXemHqC+otlttmtBsQoWXb1C9QTorcOMy40T7hCDXIErLKqAnfztK9zNyaeWUzuRXVAFs7hIzE+l66nVKyUnRGuheS75G45uOpxb+LQy63QNXEunDDedoTPs6ouegHA/dfntNFF1LzBDfI6X1xCsLB+VPLDgiqsXmjWtLXRr5UbNanqIfI1/2wQPNKCY1m14dGF6i8i0+LVuEB2FFkyVZosib9+np34+JIdk8NH5y9wb0TPeGorJx98UEsbHNz4c2XHn8xurT9M9L3ciuaAP6zb9Oi50fuuyb0Vu1Mf3++rO0JrJ4h7CmbdN76BwKb+3iiiptK2MHD3837bqYQLujE2jW8KZ6hW78WXl5xUnxO//LE+1FpaghUrPzxPvsamIG1ddYL+D7f2doUzHhlbaA1MXBjiZ2qUffbr8kdjQMbRGkWmbuV85VlHz52IgQgz8br6w8JYb8P96pbomWBheKfnsaBlQ8tK0IU/5WSKEth7OSiV3q0697r4nvh0NX74lA11hEa6HRrciYXh/Y2Ki3x8Eyt5fh9+u3j7SuFqOxeLvttVWnRC/t5U93Uq1vLdh3jb7bcUnn3y2c2IHa1fUWPZh7hweIgPzrMa3VquE1+/7rwr/J/BkvVChEazL+LuBK6W+2XaTfn4oQo58+3HiWtp+PpzkjWxj8eQcAsFboaWtiBQWFdPjwbYqMjKlQbzq+naVLlT2IbG1rUK9eFRuW8tKKSLocn65a4YXqi8OVTzadFxOm8JA26XDqdgqN+/WwGNZoaThwmN4vjEa3C6ZnezRE30cT4tCM31u8fd64ZvmDM568god3fjaqJdUNzKHlF5bTthvbqDLlFeZR/9X9adBfg8Qsxpl5+WLIM4cWHCJKQ0DNnbaevZJDdw/R5uubKSYjxuDb3RwVSxdi0+jDjefo94PX1S7jiW447OP2JDzbfVJ6ycni9LX8yC06duO+eL7zi1ph8AblJw81p69GtxLVWRzWaga2KZl54nXiyZs4nLBEF2JTaeKioyKw7dbIT7QGYSG+LjS0qFqRq5q0uRiXRhMWHRGTRHH1lIRvS/5dr3mQf1tmGXBdUBdr5J62ctzn89klx0X/SP6MlSUnv0BcnwO8w9eSxPeyobxcHMTOqqNv91XtAJC4OdrRhC71Sg3rJnSuJyajPHs3lfZeShTnHbl2j57947j4Hnnz7yj663jxZLr6+HTzBbFjiNukrDx2S2295oVlkeJ7iCcOq8hvj7GrlbeciVX1O64KbwxqTJO71af+srYVolq/aBKyP48q21pYCh5VMfm3o3ToqrIdnKF4ffCtv6PETv3Im8ni90lqZWKpeHuNJyfkzxF/L3NoKv/sl/YdLrWX4glb//doG5r/eLsSO3RKq7SV40ryPyZ3pN2v91btvOGJE3mH6/yinsQcCkujmMry4o4X6eX/XqZbqcWfbQAAa4RKWxPIzS2grVsv09q1F2jDhouUkKDs1dOlSx2aM6cvde+uXi2gj+3br9Lt28qAdciQUAoMdKvQsNOrCRmioo37lEH1xkEYV6YuP3KTpvcPI5saNUSFCk/8dD0pQ/SHHday/FVypsKzbX9h5GoPMNz5mDTxL1dmcbWVvq6mXKWntz5Nvs6+tHL4SnpvWFPx/uThqTtvXlbbkKioA3cPiNtqG9CWXOyLex/KQ06+nKtEeIOEQ0CuHn5q8VFRPWLI4zKF0qpkpJmfy/NccoXrlrOxIpR/b51yVvWH2ihHeXCAytU+D88/KH5PODxc9nQng4cXc1Xgr3uVoST31+OZ6iW8AWlnW0NrWOloZyNGi/BGbIC7o8HDdM3BjaQMGl+0c4And/ppfDuxYS2Z0rMBbTh1lzaevkuvDQgXQa58COrjvx4WVcbNa3tQgWwjnodq8ygaXVxl7+dXB4TR0z0a6Lwuj2iQwqi0nHyDe1hWZ/x9wd97tb0q1k9VV+Umt/3haut5uy5TRP0IndfNLyikaStOqoJS/hwGe5d/mco7lJ5/k8dG1KFF+6+LSbB6hPlTPT8XUT3OE07dSc6iN/46TW5Odnr1WeV1Ew59JVxB7u5oR4Oa1xTV5dyLnMOnn8e312sYdlXgSkieIPXZng1o5uAmVXKf3FOXD5qe6dGAWgZ70oOtjddOjcPy3w5cFxWXlfVd8MPOy6JSkyuElz3dkVoGG9YOh3dy/HnsltjG4RE8t+5l0fgFh2nls53Fe9TS3Lqn/K6/l5FLLWp7ih0n8h7Oj3YI0dpnWiLf2ck7Y2Q/MSUnhtVS6zX/1HxadXEVjQ0fS0+3fLpEGyypKn/F0Vv0Yt9Q1SR+vAOnNAWFBbTv7j7KL8wv0UcXAMDaoNK2ivEe3t69f6MHHlhBCxeeVAW27MCBW9Sjx2IaNmwZnTkTb9Dt8m1JnnyyTYWWkVem2YjWtSu0Yg+WgTfAeONp3uPtxBBiHiLFMx4veSqC5o1rV2W954zl5z1X6NNN5yk6VhkWgmk1q+VBc8e2phf7NDLo73ILcik+K54SshJU71Mp8JOCRqmCtKJe2/0aTd0+lWIz1YeMy0NOaaOFN0D4s+HhZCeqP7l6jStZzJn0PEnPm5wUTOv7XMalZosQSPytTQ068lZfMayZvbbqNP2yp7jqs309HzGpjK+rA525k0qTFx8rdVZpbbhPLQ/35Mowvp+yAvKv/o2mAd/soaHf7RNVVBwcLHmqowg07yZn0e37ljGhCVd+8UgHDsS5SnDxxAhy1ZhclIeq9wzzp8Y1Peh+Zq7aazRuwSFRZRge6E5/PNVRVEJKuJcgf8/rOsiHxQaUcV3uWcjvhxl/naaxPx8S1c2g9NWYVrTztV5aAzNjeKZ7AxE87YxOUPWa1cRhOlewcjsMB1sb8V4ob19Qefuk8uLWHryj+MCVJDp5K1mEZn8+01lMrsYhNFf9vbgsUvRwLsvCfcqZ7HlEzSPt6xAXDHI/Ta7k498de9sa9ONjbY069L+ihrYMEv8uPXTT5CM1eFI7DlcNbZNRmvUn79JH/5ynET/sr7QRTrzDqXMDX0rPyacJC4/QpTjD1vX48/jFwy1pzqiWtHpqZ6rp4SQqQXnHYlq2ZX1/ccU8B85c1c/fx789GUHhNd3VeidzEF3ad7g+Fa+q0FbLaB0ehRSfGU9pudpfh4HNAqlVsCfl5CsDfWkdoKz75dvkwJYnpQ10KdknGwDAmph3eVA1dP16sghnJS4u9jRoUCO6cCGRzp1ThhP//HOJduy4Rlu3Pk49epRddZuUlCmqdllAgCsNHaq7gkafWWalXnfP9mwoKi5XHb9Nwd7OotcRWA8O7DVDe14JN9UkKPpaffw2XYxLp7ZFPbp4Y5aHs6M3c8Xx6z93xyXacT5eVGdzuK9PRVh5KnlKG9IvhanGqrTVVYkqf6/LQ02uJFk0KUJUt3D1WsTHO+jUrAFm+zkptdLWgOeSg8SH5x8Qgch3j7YRVZ/8OLkKmivl/jpxmz7edJ6CvJxUO3t4UhmuRuZA78j1e9Th4+10/N1+qorRt9ZE0eaoGNXG5UcPNhc9a8UyFSpUOxG5Z6U+k/hIgRRv0Ls62Ko2Yv84dEP0Z+UJVr4dq9+OzcT0HFGhyJV7mv0yteEWEdzPT1dYMaRFEH38UMm+wRxUzd6o7A0s9SFctP+amIWbe4vz88eT7mnDrwPvQJDeb13n/EdJGTmUnVcoqq14BwMPa69MCek5or8qB8yTFh8R1ejmXn1eHXC/eX5PbTwdQyN/PEBO9jZixnYekcB4B8WQuXspNTtfBPH8XukWqvxscWC45UyMeM9pflfx52TdyZJ9jO9n5omdVr9OaF/uib24qo9/D6Lu8IiudGpdx0v13uYel+nZ+aJ6n8O/Lg19xbJdL2p/wDv/fGW9YT8a0ZxCA93Edw0vl71dDRrXsa5473E4zNW6HEyaE16PDgt0E+so/FnlYJnx4/r1ifZGnUOAd1Jx/2CeGI5bq5T2m8Q7XjLzCso90Zrm97W295Wx8O/ALxPa07hfDok2XkP/t0981zP+Xeb3lK7HKLX14LBa8sfkCBrz0yExGsPOxrxqmf49G0vvrjuj2mHCOy//nd5Tdfn4X4/Q9aRMsY3GO2SkkQ/GVlpoK73Ounb88uVTezWkKX+cEKGttJOgrErb2+nKVik8d4G2Hc4AANbEvH6drMDFi8U9mCZObE2Jia/TX3+NodOnp9DChQ9QcLBygy07O5+GD19Op07pnixEsmxZlGi5wMaPb0n2FZid9uc9V8Vs3P2aBIgNXW5g/+7aM/Tl1ugq7wvKe2P3XExAP9JK9OTio/TF1guULKvS0oZfhzHzD9I+PapfTIkfB28MsfZ1venO/Swa9r999OrKk2IHBFQMB1J84Mk7uH8a91GrLIWFyo0Euxp2Fa4OrcgGia5Qkyfu4Ml8XBxsRUAo/96atPiomEndXJQWgOv7XPLQS+79x0EiV7FzSKu6DdFruIWoIuPKP83+gFwRumhiBzF0Wf5cscycfBEG8YHbKEz+/RiduKns0cnDm/k9xm0XxunZqqdXuL94bXiDkF8faQOe/+V+uBtOx4jhpGXhUIv74fLkS1zNqo9RbYPFjiLp8WgepGGhcvz7xoEU9yaVev1JAbbYEJ/cUVQj6sKVxPJwhCtuObDlcIw34qtikjBuA8DhMC/LiZvJFlF9Xl0837uRqKDl9w6/x+S/c7zqxIEtB4Ofj2opdj4wvk6fL3fRjL+i6LCsvYC8Z6i29y/jz28tz4q1S+IAh3+bNfvi8um5j7am3uH+5OfuoHpf5xYUinUProTkz6P8MzKtX5iqOpxnu5cPzTa3wFb6ruR++9JzKT23PDGbfEh7RfFkmVyFuuTQDZqzWVnUoct/F+Ko15e76LMyrleWHRfiRcUqf8+P61S5rdV45MDiSRHi9eZAU3oeC4rWGzStibxND3y/X+xY0tQowJ1WT+ksfi/0qTqtKrwzj3eCxqXmqB6fZnW2q6Mt1fJ0oqWTO1bKhIeSAfUG0IwOM6hb7W4lLpNaJpS245fbMzTwdxXfRzyhLCvrub6dpgxtg90qNrE2AEB1gFKIKhYdXRzadu8eQs5FPZ9sbW1o0qQ2NHZscxo5ciVt2XKZUlNzaODAP+jAgaeoQQNvvVojTJrUutzLxhvaXCklrVSzxyJC6Pv/LqsmjuBh9FWFJ5WYtf6sGFrDw/S/2hZND7SqLcJkqLij1+/Rfxfiad+lRDFBSGl2RseLKjmu2ugeWnXvAUNxjzvGK4dcueLjqhD9LHmYME9E1LGB+QyTtDQ8WQlX2TLeSLibohyWt2pKZ51tVDjAXHr4BjUN8hBDVA2pvNGr0lbHBpqhuHea/Hbl+P55WbRtkHDV2qG3+qpmiWerjt+iXdEJYkcHh42DmiuHw5qSj5OPqFZxd3AvV6UtDxmduEgZ0gd5OokgUXM2dA5cfnisrdio1NbLkFslHHyrL8UkZ5G9rJrpzcFNRPDEu+a42pR/ZyYuPEJ/PttZ9GPlKlKuctW3JyW/x7iXLodY8uXgqvDuoX7i9n/Ze5U+fLC5ztvg9y33K+a+xfw4pcnPOGDlIIyDF224fcF3Y9voHGIrfwwcnHHF2JwtF0Q/cb5JDsYlXKn2ZNf6Bg9dXv9CV7GMPBu6MYc9l4VbNCye1EG0dODn+OXlJ+n7x9qUCOasxYErifTS8pPUoZ63aD1UWTi0Ojizj+q9I6+q5jYY26b3ENV38gpVft8NblGT/jjE/XCviPcJ7zDh9gTstYHhot+pNrW8nCscbHHIeuDNvuTiWPJ2uAKfZ7PncEfCffblLVYWTDSfHrXlMbhFkHjNuKqYcb/per6uRqtM5TCYv685QOWh/zyxVGm37epgJ3bG8ai6l/uFlrqTSBf+buTeyuzxznUrVLGrLw7tN77Yja4lpovvPCati/BOoz+P3qLHO9YVO/+4dQ+HoLxdwb83mnhEiLnZfCZGTOLl5WJPyyZ3Ejtf5K1r2NyxbSjAw1Gt13ll6FCzgzhoI62jlbYOwb+ZU3o0FD2rJWVV2t5KU+74DnZHaAsAYJ1r02ZSaRseXjJA4hB39erR1KmT8kcqLi6DBgxYQrGx2ivaTpyIoZMnldW4HTvWpmbNyt/CgFegX+oTKkLSdnV91CaOYNKwp6rAkxlw1S/rFupP83ZfoR92XhEhEU+wAhXHG2tsVLvgMquxNPvQmStpFu0ORe9f3lDpUE95nPuPQvn1bhwgemu+2j+MNr7UnRr6u4peo08tPqaafVgTz1rP/e1eWnHS4A1S1ZB+I/Rh1fe+SguIdd0Xb5yGBhaHoeM71aUx7YNFf0UObfZeUra9MaU3I96kLaO20IhGIwx+LjlcnPzbMTp9O0WEP9wftrRe56VNPsPVUfxcyUNPrg7i87ifNk+0xVWyHNjwBFzdw/zowMy+NKVoJ6K+OITSthxTeypvhzfmufWBNly1xbPZ8/cFB8a/Pxkhhl7z0F/eifjhxnNqoz++/++SOEjnSY9H20GqhLocnyYqHZ9bepx+2q38neN2I/2bFvft4+e6PKErV43xfVVlYCtpE6KsPufKTx7izr1U+XmzRrwTnN9j8srQysKBrPQe4+HTEn4P8HnywFbyTPeGYkfB7osJoqKcJ8jidglS2KvrPazZV7m8uCUC90PWhn8r5J9fDnm5RQjvBOOdx10+/U+M/JF20loirk6XnlPe4SG1fsnMzadXV57SazSA7u/ro6JtgLeLvRj6X1bFMfd4bRviJb77eJK48q57cZU9v+cmdS29CMCYOMSUvvP4wDsU+Lt4ypLjYnJM/i5/YVmkWEfhnRLSb4Au3FKE24NE3U4hU1KG4Mp1dO7lzm1z+PFphsv82lZ2YFsWfUJb9mCbWmJCTf4c83pSWa0cpErbOu7FrSwAAKwVKm1NWGkbFlYytOUVNV5h6/VKe0p5P4fOn0ugK1fu09ixq2nXrolikqUNp2LowwebiQ2khQsjVX876omWNOang9Skpju9N7xZiT2ycrwX+u01Z2jnBeWEZ/97rA11aegnZvbUFtgtOXhDBHY8OUTXon6DlYlnw+aZhP3cHMQkE7wiyj3OOATiCVZWT+kiNiwMteVMLL29Jkp1um+TADGkrrI3cF/586TYONKGN1x4Nu/hevRc/XHXZbocl06fjGyhtb8jz6orTc7BuD/at4+0LrHSfvyGssqW3yLPljIzuGYfOq7Enr/rCs0fX3mVQ7yRn5iRU65qj2PXlUM95TPM8/F/omJEZTGUH78ea57rKvom8kY1V1vy8Mt3hzVVfdfwZ4s/YxKpD5vUp9MQpVXaNvdrTpse2kT2tsap5ikk3T1fR4WNEpNhuNjpN3SVn5tPR7YU1U6bomJp0qKjqgCCe0pK35/cM/LDDefU/pY/0y/0aUSPRqgPLeXnkZ9bDsm/eaS1WjAjVfXxBioPiZUmaplQNDlYWZxTHie3mP6UkdiYSDlqV23n2XNLT4gh1DzklQNMDlAqC/ei5Co77n/boraHeM+V9jtmKK725glRONDo/cUuEQr/OK74u6zH5ztFewFu/cBVQIsmdVC9d4/fvC+GGnM2y68dV/9xHClVOEbU99V7wqnVx++ISvW7UcrPyttDmtAjHSp3OHFV4fc3r0/w+4afJw4cpN7X7WZvU7tusI8LfT2mVbn7ozKuauZ1JnmA98XoltSncaDRQ5Rvtl8SVdFSED2lZ0N6uuj3kydD4vetRGp1EViO37GqwBPzcS9YnuiPv6t4Z0lVjqQylNRihVu0pOXki/CW2zhUNxwY8noWr6/wkH3NHeqHribRR/+cExOvjdcYIcXf1y8sO0GHrt4TO8h+f7KjCDT1+c3i9/IzS46LYomVR5UVjk92q6+1KlXaVpGvV36+RdlagYPR8qy7GRM/nhFtaos+29vOxYnzBjWrKXom6xolIfn634v0d+Qd0Ubhh3Ft1bZJPt10QWebLb4/XhdivKOGf1904TYlUm9zfs06fbJD9HHnFiZSFTv/1vMy8O9QWSPhqsK1lGt0P/s+1XKrRTVdlW1WDA1tOVzmdUi91SBytnNGewQAAFTamq7S1tvbifz8XEr04+QVUl4ZXX78NvV7s6Oqx+3u3Tfo243n6ZNNF0Q/SQ5LTt24T0uXKgNIZzd72pieQUeu3aPfDt6gt/6O0tkLlpvx8+QqPGFTUkauOOQVKEoN7Ea3V/5o8t7rM3cqdw80bxBJe5gndVVOPsND/rhnHvf8unUvS0wAJAUUhuDeaNJj5sPKY7fplZUndVYKGgtXjsnvV37gx9SnsX4V0rzieTkhnV5aHqmawV2OqzTkt80bsvyeik8tHr59MS6NnvrtmDjOk3PpO/HFlJ7KjdOt52LpSkLl9DLlx8QVPw/9cEBMomEIXpnmakAmVdfKj/NzUdmvsyXi2Yd1PS88xP+v48pqB8YbFFLFLFcKbX65h2piG8Yb//L3H29cM317gsrxynqYdxjV8yi5weJk50R1POqU2HgoD/6eLK3SlqtU3+n0Dnk76T/jOgeNHK7y55qH1kvPB3//SHgmZc3vAt5RNfPvKLV+uPzaTPszUgxd5b6O3Es4pai/JOP+r1wJy60LpNuR90aV44CR/17++c3JsaeYZBt6f/1FEUjJce9aDoQd7WxowcQOek08V1EccP/5bCf6bFRLowa2jN+704omaeL3prwvL+PfFCmw/fkJrvpV/x7hlgq8TNxbkJ9nKbDlHpX6BrbsjYHhov+tFLBLwV91wRNAfTm6Jf38RHu194zm+51b1oz/9bB435cHf+fzb9m/5+LUbjc33/jf81/9e5G+23FJBCnaPmc8xF2+DFL/4nayHYjmhgM5/mzzxIILJ3Qw+8njuMXKT+Pbi2XmthPc7qS6eXVAONXxcaab9zLFaAP5fANxqTyy5ahoE/HuurO07LD69zW/P7efjxfPD08W1yJY/+/rfk0CqUVtT/F7U/weztfZKqn3l7tEn1gJ79zi7019igCqAhcZ8ER1/H3Nfc65V7I+rVqeKVrP3XQmhq4lZqjO5yIZbk+gaz1evgOBN710XY8Pmn3d+bwNp+7S1KXHVTu6uQ3J3hm9aenTHcWIR1P7NepXmrBlAm26tqnEZX7OfmJdzd/FuDt9Pu/xOR1+7DD1qtPLqLcLAGCJaigsYJan27dvU506dejWrVsUHGy5e9wyM/PI1fUTVSuDQ4cmlwgreeglVwUmpeeI4bWtHBxo/ewD4vLZX/en7fk5YmOf98K629vShe9PUn5yjpiAbPAL7Wju9ksihOG/ndytvqjglA9L5vuY8ddpEQDwEEYOFrhyqra3s9gzX1qPPw6KOVDmCV3WPNel0maG3XE+TmyI8fLsf7OP2jA53rvPs5dzY36umFr6dKdSl5vf3ry3vVeYv1he7rcoTZLDVbs8QRUH1o9G1KFPHmphtMfE98v3JfWX4yFXGTnagxQeIqRZOSfHK3G8ssjLxgHKxEVHxXkj29amLx9uJYIgqeqWNyilIIFXuF9aESlC7vBAdxGEpGbli+ePe7zy68iTFxgy3PHp34+JygWu8vjs4ZZkLOdjUkVvPg5NRs07QFcTM0Rf2lXPdtY6tFMbDq3G/nxQHD/6dj/Va8lBcKsP/qWM3ALa/HJ3tYlKgOjheQfERgNXvHFgxRuCXBHKs3s//usREUxwxSHPel0WDto1gzCuzA3xcam07wtjfFZXRK8Qwe2o0FEiEDbmbfOGn7RTTP49y8FrrGxnCltx9KYYnsojDHa93lvMiM3f17xzib+veVghv1Yv9G4k+k7y5+aRnw6KnUIcYIjve6oh/p4/N3z/PHFcrP1yupJ6hu7f6U1XbtSl5rU9aMML3cRrwq/Zov3X6Je914hfIu7JKq/654ov3sjU5/W3FDEpWeK7kCeRk1eLcbUk/3ZyGwNdbR749/V+RnFo7uFsJ3ZglAcHMvIepNUd7wSQ8G8Y74y4kpAh2k+sfLZzqb+DWttYLDlGO6MTRBX49+Paiv6drJaXk+h5yu9/bufDgUtF/LT7Cn1aNEnTO0ObqPq6+7o5qHo7c4DM/SflNN9f5oh/c92c7HS2KjBH/LnhHYimHhZeWbgFmLSe1qpoPU363fh171Uxmoor9fn7mnua8s536Xl55vfjNKVXg3JVmmu+h+Xrpvxbw+2RNp+JFdW8/D35bM8GNHNwE1WgzO+hsoa8VzX+neXvaEPWPzgY50nVeLuAR81IeD2efwv5N1YT/15I7W84+C5tklb+HedQlvF31JrIO/TWmigxgeSwlkHiNTX2DsuKmrl3Jm28upFea/8aTWg2wdSLY9GqS6YBAFULoW0VOn06jlq1mi+OP/FEK/rttxE6w75/z8apGrbf332bUg/F0oABDemv9WPFCgEPw+OVqPyUHIpdeoE2//UI9e/fUNlG4NRdemO18m+5/6TU8oBvm/tLLth3TQyL52Gh0mzC+uAhP++uPSNW0ipzllIOkbifoHyFUI43rLkNBFc7dW3kK2bI1rVC9uXWaPp+52V6ujsH2MqhS3L/nI6hF5crV0B5Y4xbQRgDh+dcjbBkcke9h37y68PtDfj6PFGFtGH6zJJjYqP23aFNxdAuDk2n/HFcvA8GNA2kyFvJNP/xtmpVYdpW/rlnYstgT1G9wZNzrXimk8GBAVercqjKIfLeN/oY5X3AGyH8vpz9YDMx3I+rrkbPOyA2SrgCaPkznfSe1IKfw4T0kq0VuBcyT44j3QcUB3Kj5x8UgeDmad3poR/2iwCQh8lG3rwvAliukhV9Kk3QI1OX+Mx4Wnp+qajGndJqSqXeV2puqmiP4OHgQXY2lVuJxu/fz7ZEix0yoQFuGt/XbUVV/NJDN+m94U3F7OsPzz8o+mby0GYeiaBZKcftVD7fEk1e9RdRgVM0Zd0dTR75nUVAJrU5WHNpDUXGR9Ldu2G0/bi36F39+cMtaWRRJShAZYbnD887KEabcFVuaTtgNX31bzT977/LoqqQ+yxrVjrzZ2nO5gv0056r4rdPs+WIoTuR2YxBjVWTtAJUpotF67k8GWOXhr6ibYy0c57X/biNArdr4e9rHhUghbT8vjf2DlJuDcCj87gad8eFuEopdDAn3GaLf1vZBw8007vVUEVw+zTuRczPLf/2c4GBOU3iOGPPDFFl+3r71+mJZk+YenEsWnXJNACgapn3WKhqZMWRm/TR+rMU/HwrcfqIuwO1/2i7ON7Az5WWTI4QVQO8AsRB2pgOdURIyhvtXuE+lBaZQLt2XSdFbgF5ujvSvEdaU7dZ/5KdtxP5N/Wl3r3ri9vilTqedZrDFp6J+6ttF0UQyVUJPBz07F3l8PHPH25lUGDLODjjPcDyYbm8V1+XF3o3pIldlcvFATOHhbo81a2+2BjiSgF+3BwiPVX0t5q4Gf9vT0aIyt9xHeuqVhrfWcv9NJX9q5QUlJiurDoN8dXeAmBoyyBKy24hKo9Ht6ujqiru/vlOncvar0kAzRlVvPddeh213S/3H9M3tOUKhi//vSj2sHuvO6vqd8UhPt8OP1YOWniyGh56Ov3PU2JYKOOew9pCW+5bx71HD15JUm20rprSWVQmlafCi8Mhvp1ODXxENR/jodm6JidzdbSl3a/3Vp2W+q3JSRMC8eOU2nHwMnOYePZuKnX99D9ytLelxzqG0CtFQ5t14feCtn5qXJnI7y+uLmYcPGtWRUmCvZ1p7fPFfbe4Fcel+DTxuF/uG6q2kSL6HG67SH8eu0VaulWofQbO3U0VQ9PdHG3pzcGNaVBzZTAv4eF1r68+RUeuFfdm5HV2/jzz49a837k7lP0V+X4HN69Js0c0VwX9Xeb8J4I+bmvy2oBwnRtW8sno+H36/WNt6anfjoq2CIyHoPLM0+YU2DLurbbwzEIxLK+yQ9sH1z5IiVmJtHr4agr3Ca/U++LXid8b0mssVXvy9430fpFeZ66Q5yooPvAGvbahzWM7hNDfJ+7QnYIC8WPvbGdPvz+h3pf2WNwxWn9lPU1rO51c8pU9Ll9ZeUpMDFYV7RDAenGF8sopncnX1UEVSHH/9z2XEnX+zeG3+orfSF6v4Z1Oz/ZsqLU1BX+WpP6VXMXGgbBm33iumnt91SnVBJZyy57uKD4D3P5lSIuaFOLjisAWqgy/9xZPiqBxvxxSTQDbqYFyHgx+/3OYyP2c1568S19svUg9wwLE+ZURovK6Cbf54ckFGVeD8lwQ1TGwldpw8LouFynw5JNcNFHZ/Z555/i3j7Sh55edoEvx6dT43S10+v0BZtOyRKrv0tZCqjLsub2HvjvxHXWr3Y2mtZtWJfcJAGDOzOPXwArwEOP0/EKydVNuhGcpFJRVFFZxaMUTaXBgIscbJRy+frf9Ejn4OVPOnXTavv0qPfRQEzq8+wbFrrhINR8Np8ButUs01+cQND07X1RuSo3tOXTlEOD94U3FZAEVlV+g0DkDN8uU93srLOO6Rb2zOEjc8nIP0bpAcwIGuZbBXrR3Rh+1yhx+rjTvg9cp3xjYWMxUqsvYiBDxfMj3ape2rJqzQeu6Llc5c9BqSB/AB1vXonUn76rdJg8v5+BMHrQ81CZYvL68Qtkt1F8tRNa28s8HSUUmfWFctSSXkpWr8znIzlP/iuFgVtt1uapaPuEFz5DLs0WL3sWZeWKHg65JR3hlcv7uqzS0RZAIqbXpWLSxIx8SqmuZOWhWu25mrmjHwcPMuSJbHhxz643v/rtMhnwGEtM5vI6kX56wpd6yXsb8WvLEVZq4moz/9o1ByjCP8YQ43L9OwhtvctJj+2HnFfE55SBQcwOLd6RoTkbHGyY8PP7lFSepSZC76GMqfX9UtUMxh+ijQx9RE58m9EXPL8o18YU+uIqWK015ErJW/q3I1sa20u7LEPx6cb9TniyRJ+HR5F9ULc8hva6h/DxUlUciDF5JxJ+eZ3o0KhHESpOvKaiQvhrTSozW2HY+TgRiCG2hsvFOOs3f19J+fyX8nl/+dKdSgyPuHZyalUdLD9+k6X+eFOsL0ncuv8+f+f2YCMS04e9NxjvT//doW/E9CVCVeCfzLxPaix3jXFUrhbaM1/m/GM3f14VinoFTt5OpbQXbgOjCkyTy+vXHm85T38YB9PWY1mY3fN/YuE/5+IWHRZWzIf3KK4KLSDJyWtKbf5+mIS2CzCawLWtiWB6ts+DMAuoV3Ite6/CaUe7vavJVir4fTQ28zKNHMgCAqZnPL0I1x03xNyw4RRs3XhSnV60aTWFhxStguvqeTe8fRsFZhTTmc+XwPP57Dm1XrjxHBam5dOeXM/Tzlse0zoj6cr9QGtNBPZzlHrbGWhHgvog8hEcXeX86DhxLuy73hpPwY9Gn76jmUEoOtXgGXDkvF3u9+g3KA1seblnasnI/Kjlt1+UNSqlnlb54JZgrmaf1C1OboTbI00lrVSwP8+fZn/kxmrLi4YuHW+mc+IhnWJf7eEQLytCY3IKfz2Dvku9/Dqr2zegjJuRgUq807ss8+59zVNfHRVSxfv/fZVFR/tuB67TtlR6il2FZeENImvBBk2Zvv/892ka0pOCehhyUejjZqdpocK/k1weGiyoxXrnX5zMwf/cVEcxzi4vfn4xQBcpcEcsVFi/3baR6z3KgwBXz15MyRHDL7xFuJyEFtm8NaSz6K3rIQjseLsn3w9XZH2w4J4YH8+Was0Bzn0bGrTjkk9Hx6S4N/cTrUtZMy5UpIzeDbqTeIG/HkhuiUtAobUhURFZ+Fj259Ulx/Njjx8iWzCO0lWgLbCW6wlo5bmHSItiDIuN5B07J71Xp8RUUFoj3/k/j24khueYw+QlYn1nDm4nJmHSRfyWV9bvHl/PkcRw4cQU5f+dKrRS4vy6PFuK+0bzDXLPVD1fXSap7QAXmi3+LD73VV0zypYm/r+c93rZKvq95nYcnTzT1+mZV4Qp7rur3c3Ws0vUgHmXZp0kAeenx216VFKS70jYtN02sqyVkKUdoGcPtdOUkd8FuaB8AAMAQ2lYRDpzunkukvATlLMkDIoLJWc8f5eEDGpGLi72YyOyffy5RamoObdqkDG0C/FxoYB/deyI1A0tj7rnl29J3UicOtSp7Aiiu2NGs2ikPfUNjibEfl3xjsSzmEKzIA7+y6KqE1YWHgGs+v1wFyJM1seM3k8Wsu+yZHg30CmwNrTbmqt9ne7qJVhXcvoJblnCgydUnvPGiGYbqwhWr/Fi+HN1KVEnzRBfcK5GrxXiWZw4N1mpM8MfXb+jvKoJZDg64TzLfP3ttQBg906OhzvcvH7hajKtjvtgaLYJbqeKcJ/TbcDpGHJ+qsaODebrYm3VlhzxorCh5GKvtvowZEJuKougx2tWw0/n4pOeB33/m8L0C1snYE3fx9yZXkHMrBB5ZwJMMcZ90nuCJA1z+juysZYcbgLkorad/VX5fW9vvgrZWW1VBmtzQnEjrB6WtjxlzipxbabfEv3XclW3rAACsnXk1KqzG+McsOlo5DC8kxFPvwJY5OdlRv37KYDYuLoPef38XZRfN0P7ww03I1oya1QNUNp58bVJX5cQQUmDLvWaf7Ka9B7KxcDjLwTCb8VcUJekxhFcbro75YVxb6ljfRwQJ326/qFrZ1VbB0itc2auOK4N5UirGy6FPWPx0jwb0Yh/l9d5bd4Zy8pXB4z9RMaJyt3uon9kOgZc2EjTbFRg7SJXfhnS75lRpW1UbXJYcSgOU9Z3LE/lxhW16br7oL8461PNBYAsAUIahDYbSi21epOZ+yp76ctJ6qzHXIW6nFVXauqPSFgCAodK2iiQmZlJycrY4Hh5u+EbCsGGhtH59tDg+d+5h1fljxjQz4lICmD9eQXx3aFMxYdyKo7docrf6NK1faJXc78zBjUVvXe6RyBOAcO/o8uDK818ntBcTk+29nChaQNTVMVmehCcD46pcnvSMq2P1HaLIPXgzcgpo5bFboj8j4x623C/PkNnaq1q+Il930GhjvCDVGiptPRw9yMfJhxztSlbwSKG4JYfSAPp85y6Y0J6OXLtHfZsEmnpxAAAsRv+6/XVeVtwX3ziVtjyC6m66siADlbYAAErmu8VezUhVtkzey1ZfQ4YUh1Lc05MFBblRt24hRlpCAMvBLQB48jXuJ+tbhUPJOCj9+KEWIgit6P1yK4e/pnQRk7PpO+yQ7/O5Xvq1Y5Av83vDm9KT3eqpnSef1MSsK221VL8aM0gt7X6qS6XtvH7zdF6GSluwFvydi8AWAMB4jL2OFJsZK3ba29vYk7+zv1FuEwDA0iG0rSIXLxaHtuWptK1d24Patg2iEyeUfSjZww83RWsEsGpVGdhWxv1y+FxVfeK0TfZmzqR+tdqqX32dfWn18NU6g1ZDyHu5atO7Tm8xJNDXybxD7vKa0moKTWw2kVzt9e9NDQAAANaBJxrLzMukWm61yNPRs1J3/KbnplNDz4ZkZ2OntT0WAIA1QmhbRaKjEytUaSu1SJCHtmiNAADVlYu9i5g5OMAloMRlXIER7qN7hnlDSBsaugLgae2mUXXm4eAhDgAAAACaPj70MR2MOUifdv+UhjUYpnaZm4ObWFfzc/Yzyn3xut3aEWuNOrEZAIClQ2hbRS5evKc6Hh5evh+2YcPC6MMP94jjtWu7U5cu6PUDANXTwHoDxaGyuTu407S207RW9FYXb+x5g+Iy4uitjm8ZLewGAACA6k81mamW+csH1RskDsam77wNAADWAKFtFVfaOjraUp065atqateulghqDxy4Ra++2lkMrQYAsDY5BTm08MxCUYnxTMtnxDC68uIq06daPKXz8ryCPMorzCMHW4cK3Y8pnU08SzfTblJGXkaJy/bd2ScObQLaVElIDgAAAJajkArVJoE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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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", + "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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+ "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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index 0000000000000000000000000000000000000000..cdc8fe4cd578882786511f9ced2989df8d05d8a1 --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Copper Weekly updated/Supply Factors/US copper production.csv @@ -0,0 +1,263 @@ +Date,Interest +2020-07-05,0 +2020-07-12,0 +2020-07-19,13 +2020-07-26,0 +2020-08-02,0 +2020-08-09,0 +2020-08-16,0 +2020-08-23,0 +2020-08-30,0 +2020-09-06,0 +2020-09-13,0 +2020-09-20,0 +2020-09-27,0 +2020-10-04,0 +2020-10-11,0 +2020-10-18,0 +2020-10-25,0 +2020-11-01,0 +2020-11-08,0 +2020-11-15,0 +2020-11-22,0 +2020-11-29,0 +2020-12-06,0 +2020-12-13,0 +2020-12-20,0 +2020-12-27,0 +2021-01-03,0 +2021-01-10,0 +2021-01-17,0 +2021-01-24,0 +2021-01-31,0 +2021-02-07,0 +2021-02-14,0 +2021-02-21,0 +2021-02-28,0 +2021-03-07,0 +2021-03-14,0 +2021-03-21,0 +2021-03-28,0 +2021-04-04,0 +2021-04-11,0 +2021-04-18,0 +2021-04-25,0 +2021-05-02,0 +2021-05-09,0 +2021-05-16,0 +2021-05-23,0 +2021-05-30,0 +2021-06-06,0 +2021-06-13,0 +2021-06-20,0 +2021-06-27,0 +2021-07-04,12 +2021-07-11,0 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Processing.ipynb b/Copper Google Trend Analysis Weekly /Data Processing.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..6cab84733bda4d663eef9704b9b8b7f3d4638a23 --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Data Processing.ipynb @@ -0,0 +1,175 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "6f2fc4d8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Processed: Tariff/Tariff.csv\n" + ] + } + ], + "source": [ + "import os\n", + "import pandas as pd\n", + "\n", + "folder_path = \"Tariff\"\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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"execution_count": 5, + "id": "246e1b3f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "=== EXPANDING WINDOW VALIDATION ===\n", + "Minimum training size: 151 weeks\n", + "Total test points (unique union across folds): 110\n", + "Training window: 2020-07-05 to 2023-05-21\n", + "\n", + "Fold 1:\n", + " Test point: 2024-06-23\n", + " Training size: 151 observations\n", + " Training window: 2020-07-05 to 2023-05-21\n", + "\n", + "Fold 2:\n", + " Test point: 2024-09-22\n", + " Training size: 164 observations\n", + " Training window: 2020-07-05 to 2023-08-20\n", + "\n", + "Fold 3:\n", + " Test point: 2024-12-22\n", + " Training size: 177 observations\n", + " Training window: 2020-07-05 to 2023-11-19\n", + "\n", + "Fold 4:\n", + " Test point: 2025-03-23\n", + " Training size: 190 observations\n", + " Training window: 2020-07-05 to 2024-02-18\n", + "\n", + "Fold 5:\n", + " Test point: 2025-06-29\n", + " Training size: 204 observations\n", + " Training window: 2020-07-05 to 2024-05-26\n", + "\n", + "\n", + "── Accuracy per split (plus Avg & Max) ──\n" + ] + }, + { + "data": { + "text/html": [ + "
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Split12345AvgMax
ModelScenario
Decision Tree0.0557.89%49.12%61.40%56.14%52.63%55.44%61.40%
0.1059.65%57.89%59.65%56.14%56.14%57.89%59.65%
without56.14%42.11%47.37%47.37%49.12%48.42%56.14%
Logistic Regression0.0559.65%64.91%57.89%57.89%50.88%58.25%64.91%
0.1057.89%63.16%45.61%54.39%50.88%54.39%63.16%
without50.88%49.12%49.12%49.12%47.37%49.12%50.88%
Random Forest0.0549.12%43.86%61.40%57.89%56.14%53.68%61.40%
0.1050.88%49.12%54.39%54.39%47.37%51.23%54.39%
without49.12%49.12%54.39%43.86%52.63%49.82%54.39%
SVM0.0552.63%42.11%42.11%52.63%50.88%48.07%52.63%
0.1056.14%50.88%49.12%52.63%47.37%51.23%56.14%
without52.63%50.88%49.12%47.37%47.37%49.47%52.63%
XGBoost0.0557.89%45.61%56.14%52.63%45.61%51.58%57.89%
0.1054.39%42.11%61.40%52.63%50.88%52.28%61.40%
without49.12%50.88%47.37%45.61%47.37%48.07%50.88%
\n", + "
" + ], + "text/plain": [ + "Split 1 2 3 4 5 Avg \\\n", + "Model Scenario \n", + "Decision Tree 0.05 57.89% 49.12% 61.40% 56.14% 52.63% 55.44% \n", + " 0.10 59.65% 57.89% 59.65% 56.14% 56.14% 57.89% \n", + " without 56.14% 42.11% 47.37% 47.37% 49.12% 48.42% \n", + "Logistic Regression 0.05 59.65% 64.91% 57.89% 57.89% 50.88% 58.25% \n", + " 0.10 57.89% 63.16% 45.61% 54.39% 50.88% 54.39% \n", + " without 50.88% 49.12% 49.12% 49.12% 47.37% 49.12% \n", + "Random Forest 0.05 49.12% 43.86% 61.40% 57.89% 56.14% 53.68% \n", + " 0.10 50.88% 49.12% 54.39% 54.39% 47.37% 51.23% \n", + " without 49.12% 49.12% 54.39% 43.86% 52.63% 49.82% \n", + "SVM 0.05 52.63% 42.11% 42.11% 52.63% 50.88% 48.07% \n", + " 0.10 56.14% 50.88% 49.12% 52.63% 47.37% 51.23% \n", + " without 52.63% 50.88% 49.12% 47.37% 47.37% 49.47% \n", + "XGBoost 0.05 57.89% 45.61% 56.14% 52.63% 45.61% 51.58% \n", + " 0.10 54.39% 42.11% 61.40% 52.63% 50.88% 52.28% \n", + " without 49.12% 50.88% 47.37% 45.61% 47.37% 48.07% \n", + "\n", + "Split Max \n", + "Model Scenario \n", + "Decision Tree 0.05 61.40% \n", + " 0.10 59.65% \n", + " without 56.14% \n", + "Logistic Regression 0.05 64.91% \n", + " 0.10 63.16% \n", + " without 50.88% \n", + "Random Forest 0.05 61.40% \n", + " 0.10 54.39% \n", + " without 54.39% \n", + "SVM 0.05 52.63% \n", + " 0.10 56.14% \n", + " without 52.63% \n", + "XGBoost 0.05 57.89% \n", + " 0.10 61.40% \n", + " without 50.88% " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "── F1-score per split (plus Avg & Max) ──\n" + ] + }, + { + "data": { + "text/html": [ + "
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Split12345AvgMax
ModelScenario
Decision Tree0.0557.14%47.27%68.57%41.86%57.14%54.40%68.57%
0.1059.65%68.42%68.49%67.53%56.14%64.05%68.49%
without67.53%29.79%11.76%0.00%32.56%28.33%67.53%
Logistic Regression0.0567.61%68.75%62.50%50.00%44.00%58.57%68.75%
0.1068.42%69.57%45.61%48.00%44.00%55.12%69.57%
without61.11%49.12%32.56%12.12%0.00%30.98%61.11%
Random Forest0.0540.82%38.46%64.52%61.29%59.02%52.82%64.52%
0.1039.13%45.28%61.76%56.67%50.00%50.57%61.76%
without57.97%38.30%35.00%15.79%37.21%36.85%57.97%
SVM0.0568.97%15.38%32.65%47.06%33.33%39.48%68.97%
0.1054.55%51.72%40.82%68.97%21.05%47.42%68.97%
without68.97%51.72%32.56%0.00%0.00%30.65%68.97%
XGBoost0.0553.85%49.18%65.75%61.97%53.73%56.90%65.75%
0.1043.48%42.11%70.27%52.63%56.25%52.95%70.27%
without53.97%46.15%37.50%47.46%48.28%46.67%53.97%
\n", + "
" + ], + "text/plain": [ + "Split 1 2 3 4 5 Avg \\\n", + "Model Scenario \n", + "Decision Tree 0.05 57.14% 47.27% 68.57% 41.86% 57.14% 54.40% \n", + " 0.10 59.65% 68.42% 68.49% 67.53% 56.14% 64.05% \n", + " without 67.53% 29.79% 11.76% 0.00% 32.56% 28.33% \n", + "Logistic Regression 0.05 67.61% 68.75% 62.50% 50.00% 44.00% 58.57% \n", + " 0.10 68.42% 69.57% 45.61% 48.00% 44.00% 55.12% \n", + " without 61.11% 49.12% 32.56% 12.12% 0.00% 30.98% \n", + "Random Forest 0.05 40.82% 38.46% 64.52% 61.29% 59.02% 52.82% \n", + " 0.10 39.13% 45.28% 61.76% 56.67% 50.00% 50.57% \n", + " without 57.97% 38.30% 35.00% 15.79% 37.21% 36.85% \n", + "SVM 0.05 68.97% 15.38% 32.65% 47.06% 33.33% 39.48% \n", + " 0.10 54.55% 51.72% 40.82% 68.97% 21.05% 47.42% \n", + " without 68.97% 51.72% 32.56% 0.00% 0.00% 30.65% \n", + "XGBoost 0.05 53.85% 49.18% 65.75% 61.97% 53.73% 56.90% \n", + " 0.10 43.48% 42.11% 70.27% 52.63% 56.25% 52.95% \n", + " without 53.97% 46.15% 37.50% 47.46% 48.28% 46.67% \n", + "\n", + "Split Max \n", + "Model Scenario \n", + "Decision Tree 0.05 68.57% \n", + " 0.10 68.49% \n", + " without 67.53% \n", + "Logistic Regression 0.05 68.75% \n", + " 0.10 69.57% \n", + " without 61.11% \n", + "Random Forest 0.05 64.52% \n", + " 0.10 61.76% \n", + " without 57.97% \n", + "SVM 0.05 68.97% \n", + " 0.10 68.97% \n", + " without 68.97% \n", + "XGBoost 0.05 65.75% \n", + " 0.10 70.27% \n", + " without 53.97% " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "── AUC per split (plus Avg & Max) ──\n" + ] + }, + { + "data": { + "text/html": [ + "
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Split12345AvgMax
ModelScenario
Decision Tree0.050.57720.48650.64100.58890.51170.56100.6410
0.100.62530.55600.62380.55680.55190.58280.6253
without0.54940.47170.57820.48270.59510.53540.5951
Logistic Regression0.050.62470.65520.55540.61600.52100.59450.6552
0.100.59880.64290.54430.59750.47650.57200.6429
without0.58210.58810.65020.70990.60620.62730.7099
Random Forest0.050.54440.49260.63550.61480.60120.57770.6355
0.100.55430.49010.62810.60620.49880.55550.6281
without0.45930.49450.52280.45990.49320.48590.5228
SVM0.050.54440.58370.51970.38270.58020.52220.5837
0.100.52840.55540.51790.45060.50000.51050.5554
without0.50000.58870.34980.29010.60740.46720.6074
XGBoost0.050.58400.48890.63790.49750.53460.54860.6379
0.100.57160.44330.65760.55310.48150.54140.6576
without0.43270.46670.45380.48460.46540.46070.4846
\n", + "
" + ], + "text/plain": [ + "Split 1 2 3 4 5 Avg \\\n", + "Model Scenario \n", + "Decision Tree 0.05 0.5772 0.4865 0.6410 0.5889 0.5117 0.5610 \n", + " 0.10 0.6253 0.5560 0.6238 0.5568 0.5519 0.5828 \n", + " without 0.5494 0.4717 0.5782 0.4827 0.5951 0.5354 \n", + "Logistic Regression 0.05 0.6247 0.6552 0.5554 0.6160 0.5210 0.5945 \n", + " 0.10 0.5988 0.6429 0.5443 0.5975 0.4765 0.5720 \n", + " without 0.5821 0.5881 0.6502 0.7099 0.6062 0.6273 \n", + "Random Forest 0.05 0.5444 0.4926 0.6355 0.6148 0.6012 0.5777 \n", + " 0.10 0.5543 0.4901 0.6281 0.6062 0.4988 0.5555 \n", + " without 0.4593 0.4945 0.5228 0.4599 0.4932 0.4859 \n", + "SVM 0.05 0.5444 0.5837 0.5197 0.3827 0.5802 0.5222 \n", + " 0.10 0.5284 0.5554 0.5179 0.4506 0.5000 0.5105 \n", + " without 0.5000 0.5887 0.3498 0.2901 0.6074 0.4672 \n", + "XGBoost 0.05 0.5840 0.4889 0.6379 0.4975 0.5346 0.5486 \n", + " 0.10 0.5716 0.4433 0.6576 0.5531 0.4815 0.5414 \n", + " without 0.4327 0.4667 0.4538 0.4846 0.4654 0.4607 \n", + "\n", + "Split Max \n", + "Model Scenario \n", + "Decision Tree 0.05 0.6410 \n", + " 0.10 0.6253 \n", + " without 0.5951 \n", + "Logistic Regression 0.05 0.6552 \n", + " 0.10 0.6429 \n", + " without 0.7099 \n", + "Random Forest 0.05 0.6355 \n", + " 0.10 0.6281 \n", + " without 0.5228 \n", + "SVM 0.05 0.5837 \n", + " 0.10 0.5554 \n", + " without 0.6074 \n", + "XGBoost 0.05 0.6379 \n", + " 0.10 0.6576 \n", + " without 0.4846 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "── Combined out-of-sample metrics over ALL test periods ──\n" + ] + }, + { + "data": { + "text/html": [ + "
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Combined AccuracyCombined AUC
ModelScenario
Decision Tree0.0555.44%55.75%
0.1057.89%57.86%
without48.42%50.61%
Logistic Regression0.0558.25%59.03%
0.1054.39%56.46%
without49.12%60.62%
Random Forest0.0553.68%57.38%
0.1051.23%54.55%
without49.82%50.15%
SVM0.0548.07%51.18%
0.1051.23%50.52%
without49.47%48.97%
XGBoost0.0551.58%52.28%
0.1052.28%53.15%
without48.07%46.68%
\n", + "
" + ], + "text/plain": [ + " Combined Accuracy Combined AUC\n", + "Model Scenario \n", + "Decision Tree 0.05 55.44% 55.75%\n", + " 0.10 57.89% 57.86%\n", + " without 48.42% 50.61%\n", + "Logistic Regression 0.05 58.25% 59.03%\n", + " 0.10 54.39% 56.46%\n", + " without 49.12% 60.62%\n", + "Random Forest 0.05 53.68% 57.38%\n", + " 0.10 51.23% 54.55%\n", + " without 49.82% 50.15%\n", + "SVM 0.05 48.07% 51.18%\n", + " 0.10 51.23% 50.52%\n", + " without 49.47% 48.97%\n", + "XGBoost 0.05 51.58% 52.28%\n", + " 0.10 52.28% 53.15%\n", + " without 48.07% 46.68%" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# ================================================================\n", + "# Direction-of-Move Classification – full pipeline (nested CV)\n", + "# • Feature standardisation before model training\n", + "# • Nested TimeSeriesSplit for hyper-parameter tuning\n", + "# • Per-split Accuracy / AUC / F1 tables\n", + "# • Combined out-of-sample (OOS) Accuracy & AUC across all test windows\n", + "# • Expanding-window validation summary (requested output)\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 GridSearchCV, TimeSeriesSplit\n", + "from sklearn.preprocessing import StandardScaler\n", + "from sklearn.linear_model import LogisticRegression\n", + "from sklearn.tree import DecisionTreeClassifier\n", + "from sklearn.ensemble import RandomForestClassifier\n", + "from sklearn.svm import SVC\n", + "import xgboost as xgb\n", + "from sklearn.metrics import accuracy_score, f1_score, roc_auc_score\n", + "\n", + "warnings.filterwarnings(\"ignore\")\n", + "pd.set_option(\"display.float_format\", \"{:,.4f}\".format)\n", + "np.random.seed(42)\n", + "\n", + "# ─────────────── 1│ data (weekly) ───────────────────────────────\n", + "ROOT = pathlib.Path(\".\")\n", + "def load_copper():\n", + " return (pd.read_csv(ROOT / \"Copper Prices.csv\")\n", + " .assign(Date=lambda d: pd.to_datetime(d[\"Date\"]))\n", + " .set_index(\"Date\").asfreq(\"W-SUN\")\n", + " .rename(columns={\"Price\": \"Copper_Price\"})[\"Copper_Price\"])\n", + "\n", + "def load_trends():\n", + " def one(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", + " frames.append(\n", + " t.assign(Date=lambda d: pd.to_datetime(d[t.columns[0]]))\n", + " .set_index(\"Date\").asfreq(\"W-SUN\")\n", + " .rename(columns={t.columns[1]: key})\n", + " )\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(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│ statistical filters ─────────────────────────\n", + "def adf_p(s): return adfuller(s.dropna(), autolag=\"AIC\")[1]\n", + "ADF, COINT, MAX_LAG = 0.01, 0.5, 12\n", + "\n", + "i1 = [c for c in data_raw.columns\n", + " if adf_p(data_raw[c]) > ADF\n", + " and adf_p(data_raw[c].diff()) < ADF\n", + " and c != \"Copper_Price\"]\n", + "\n", + "cands = [s for s in i1\n", + " if coint(data_raw[\"Copper_Price\"], data_raw[s])[1] < COINT]\n", + "\n", + "minp = {s: min(grangercausalitytests(\n", + " data_raw[[\"Copper_Price\", s]].dropna().values,\n", + " maxlag=MAX_LAG, verbose=False)[lag][0][\"ssr_ftest\"][1]\n", + " for lag in range(1, MAX_LAG + 1))\n", + " for s in cands}\n", + "\n", + "TIERS = {0.05: [s for s, p in minp.items() if p < 0.05],\n", + " 0.10: [s for s, p in minp.items() if p < 0.10]}\n", + "\n", + "def lag_df(feats, lag=1):\n", + " out = {\"Copper_Price\": data_raw[\"Copper_Price\"],\n", + " f\"Copper_Price_lag{lag}\": data_raw[\"Copper_Price\"].shift(lag)}\n", + " out.update({f\"{f}_lag{lag}\": data_raw[f].shift(lag) for f in feats})\n", + " return pd.DataFrame(out).dropna()\n", + "\n", + "SCENS = {\"without\": lag_df([]),\n", + " \"0.05\" : lag_df(TIERS[0.05]),\n", + " \"0.10\" : lag_df(TIERS[0.10])}\n", + "\n", + "for k in SCENS:\n", + " SCENS[k][\"y\"] = (SCENS[k][\"Copper_Price\"].diff().shift(-1) > 0).astype(int)\n", + " SCENS[k].dropna(inplace=True)\n", + "\n", + "# ─────────────── 3│ model grids ────────────────────────────────\n", + "GRIDS = {\n", + " \"XGBoost\":[{\"n_estimators\":[400,600],\"max_depth\":[3,5],\n", + " \"learning_rate\":[0.03,0.07],\"subsample\":[0.8,1.0]}],\n", + " \"Logistic Regression\":[{\"C\":[0.1,1,10]}],\n", + " \"Decision Tree\":[{\"max_depth\":[3,5,8],\"min_samples_leaf\":[2,4,6]}],\n", + " \"Random Forest\":[{\"n_estimators\":[300,500],\"max_depth\":[4,6],\n", + " \"min_samples_leaf\":[3,5]}],\n", + " \"SVM\":[{\"C\":[0.1,1,10],\"gamma\":[0.01,0.1]}],\n", + "}\n", + "\n", + "# ─────────────── 4│ expanding-window generator ──────────────────\n", + "def expanding_splits(n_rows, test_frac=0.22, n_splits=5):\n", + " test_len = int(n_rows * test_frac)\n", + " for i in range(n_splits):\n", + " end = int(n_rows * (0.80 + i*0.05))\n", + " yield np.arange(end - test_len), np.arange(end - test_len, end)\n", + "\n", + "INNER_CV = TimeSeriesSplit(n_splits=4)\n", + "\n", + "# ─────────────── 4a│ expanding-window validation summary ───────\n", + "df_ref = SCENS[\"without\"]\n", + "idx = df_ref.index\n", + "n_rows = len(df_ref)\n", + "test_frac = 0.22\n", + "n_splits = 5\n", + "test_len = int(n_rows * test_frac)\n", + "first_end = int(n_rows * 0.80)\n", + "min_train_size = first_end - test_len # number of observations\n", + "first_train_start = idx[0]\n", + "first_train_end = idx[min_train_size - 1]\n", + "last_end = int(n_rows * (0.80 + (n_splits - 1)*0.05))\n", + "# union of all test indices (start of first test window to end of last)\n", + "union_test_points = last_end - (first_end - test_len)\n", + "\n", + "print(\"=== EXPANDING WINDOW VALIDATION ===\")\n", + "print(f\"Minimum training size: {min_train_size} weeks\")\n", + "print(f\"Total test points (unique union across folds): {union_test_points}\")\n", + "print(f\"Training window: {first_train_start.date()} to {first_train_end.date()}\\n\")\n", + "\n", + "for fold in range(1, n_splits + 1):\n", + " train_end = int(n_rows * (0.80 + (fold - 1)*0.05))\n", + " test_start = train_end - test_len\n", + " test_end = train_end - 1\n", + " train_size = test_start # because training indices are [0, test_start-1]\n", + " train_window_start = idx[0]\n", + " train_window_end = idx[test_start - 1]\n", + " test_point_date = idx[test_end] # chosen representative \"Test point\"\n", + " print(f\"Fold {fold}:\")\n", + " print(f\" Test point: {test_point_date.date()}\")\n", + " print(f\" Training size: {train_size} observations\")\n", + " print(f\" Training window: {train_window_start.date()} to {train_window_end.date()}\\n\")\n", + "\n", + "# containers\n", + "records = [] # per-split metrics\n", + "oos_pred_store = {} # raw predictions per (model, scenario)\n", + "\n", + "# ─────────────── 5│ nested CV loop ──────────────────────────────\n", + "for scen, df in SCENS.items():\n", + " X_full, y_full = df.drop(columns=[\"Copper_Price\",\"y\"]), df[\"y\"]\n", + " n = len(X_full)\n", + "\n", + " for split_idx, (tr_idx, te_idx) in enumerate(expanding_splits(n_rows=len(X_full),\n", + " test_frac=test_frac,\n", + " n_splits=n_splits), 1):\n", + " X_tr_raw, y_tr = X_full.iloc[tr_idx], y_full.iloc[tr_idx]\n", + " X_te_raw, y_te = X_full.iloc[te_idx], y_full.iloc[te_idx]\n", + "\n", + " scaler = StandardScaler().fit(X_tr_raw)\n", + " X_tr = pd.DataFrame(scaler.transform(X_tr_raw),\n", + " columns=X_tr_raw.columns, index=X_tr_raw.index)\n", + " X_te = pd.DataFrame(scaler.transform(X_te_raw),\n", + " columns=X_te_raw.columns, index=X_te_raw.index)\n", + "\n", + " counts = y_tr.value_counts()\n", + "\n", + " for mname, grid in GRIDS.items():\n", + " if mname == \"Logistic Regression\":\n", + " base = LogisticRegression(max_iter=1000, class_weight='balanced')\n", + " elif mname == \"Decision Tree\":\n", + " base = DecisionTreeClassifier(random_state=42, class_weight='balanced')\n", + " elif mname == \"Random Forest\":\n", + " base = RandomForestClassifier(random_state=42, class_weight='balanced')\n", + " elif mname == \"SVM\":\n", + " base = SVC(kernel=\"rbf\", probability=True,\n", + " class_weight='balanced', random_state=42)\n", + " elif mname == \"XGBoost\":\n", + " spw = counts.get(0,1) / counts.get(1,1) if len(counts)==2 else 1\n", + " base = xgb.XGBClassifier(random_state=42,\n", + " objective='binary:logistic',\n", + " eval_metric='logloss',\n", + " use_label_encoder=False,\n", + " scale_pos_weight=spw)\n", + "\n", + " best = (GridSearchCV(base, grid, cv=INNER_CV,\n", + " scoring=\"accuracy\", n_jobs=-1)\n", + " .fit(X_tr, y_tr)\n", + " .best_estimator_)\n", + "\n", + " y_hat = best.predict(X_te)\n", + " proba = best.predict_proba(X_te)[:,1] if hasattr(best,\"predict_proba\") else None\n", + "\n", + " records.append({\n", + " \"Model\": mname,\n", + " \"Scenario\": scen,\n", + " \"Split\": split_idx,\n", + " \"Accuracy\": accuracy_score(y_te, y_hat),\n", + " \"F1\": f1_score(y_te, y_hat, zero_division=0),\n", + " \"AUC\": roc_auc_score(y_te, proba) if proba is not None and len(np.unique(y_te))==2 else np.nan\n", + " })\n", + "\n", + " key = (mname, scen)\n", + " oos_pred_store.setdefault(key, []).append(\n", + " pd.DataFrame({\"y_true\": y_te.values,\n", + " \"y_pred\": y_hat,\n", + " \"proba\" : proba},\n", + " index=y_te.index)\n", + " )\n", + "\n", + "# ─────────────── 6│ per-split summary tables ───────────────────\n", + "tbl = pd.DataFrame(records)\n", + "\n", + "def metric_tbl(metric, fmt):\n", + " piv = tbl.pivot_table(index=[\"Model\",\"Scenario\"], columns=\"Split\", values=metric)\n", + " piv[\"Avg\"] = piv.mean(axis=1)\n", + " piv[\"Max\"] = piv[[1,2,3,4,5]].max(axis=1)\n", + " return piv.applymap(fmt)\n", + "\n", + "fmt_perc = lambda x: f\"{x:.2%}\"\n", + "fmt_auc = lambda x: f\"{x:.4f}\"\n", + "\n", + "print(\"\\n── Accuracy per split (plus Avg & Max) ──\")\n", + "display(metric_tbl(\"Accuracy\", fmt_perc))\n", + "print(\"\\n── F1-score per split (plus Avg & Max) ──\")\n", + "display(metric_tbl(\"F1\", fmt_perc))\n", + "print(\"\\n── AUC per split (plus Avg & Max) ──\")\n", + "display(metric_tbl(\"AUC\", fmt_auc))\n", + "\n", + "# ─────────────── 7│ combined OOS metrics across ALL tests ──────\n", + "combined_rows = []\n", + "for (model, scen), lst in oos_pred_store.items():\n", + " oos_df = pd.concat(lst)\n", + " y_true = oos_df[\"y_true\"]\n", + " y_pred = oos_df[\"y_pred\"]\n", + " proba = oos_df[\"proba\"] if not oos_df[\"proba\"].isna().all() else None\n", + " combined_rows.append({\n", + " \"Model\": model,\n", + " \"Scenario\": scen,\n", + " \"Combined Accuracy\": accuracy_score(y_true, y_pred),\n", + " \"Combined AUC\": roc_auc_score(y_true, proba) if proba is not None and len(np.unique(y_true))==2 else np.nan\n", + " })\n", + "\n", + "oos_summary = (pd.DataFrame(combined_rows)\n", + " .set_index([\"Model\",\"Scenario\"])\n", + " .sort_index())\n", + "\n", + "print(\"\\n── Combined out-of-sample metrics over ALL test periods ──\")\n", + "display(oos_summary.applymap(lambda x: f\"{x:.2%}\" if not np.isnan(x) else \"NA\"))\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 /Expanding Window.ipynb b/Copper Google Trend Analysis Weekly /Expanding Window.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..654ff86657dd2d933a4ce85d2ca561b964d09a10 --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Expanding Window.ipynb @@ -0,0 +1,3009 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "45d14117", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/yanzhe0329/Desktop/Copper Google Trend Analysis 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" + ] + }, + { + "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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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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SeriesLagp
185G technology10.9159
195G technology20.4953
205G technology30.4765
215G technology40.5444
225G technology50.3709
............
157Yahoo finance140.0428
158Yahoo finance150.0356
159Yahoo finance160.0436
160Yahoo finance170.0584
161Yahoo finance180.1156
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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
Mining sanctions0.006114TrueTrueTrue
Copper ore reserves0.009216TrueTrueTrue
Trade war0.01219FalseTrueTrue
China US trade tensions0.02631FalseTrueTrue
Yahoo finance0.035615FalseTrueTrue
Electronics manufacturing0.03712FalseTrueTrue
Iran Iraq War0.03946FalseTrueTrue
Middle East conflicts0.05808FalseFalseTrue
Scrap copper prices0.087218FalseFalseTrue
Copper concentrate0.117415FalseFalseFalse
Currency exchange rates0.14201FalseFalseFalse
Global GDP growth0.169416FalseFalseFalse
RMB exchange rate0.277615FalseFalseFalse
Manufacturing PMI0.35991FalseFalseFalse
Bloomberg0.369817FalseFalseFalse
5G technology0.37095FalseFalseFalse
World GDP by country0.43473FalseFalseFalse
COVID copper0.46997FalseFalseFalse
Energy crisis0.56805FalseFalseFalse
COVID0.662714FalseFalseFalse
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", + "Mining sanctions 0.0061 14 True True True\n", + "Copper ore reserves 0.0092 16 True True True\n", + "Trade war 0.0121 9 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", + "Scrap copper prices 0.0872 18 False False True\n", + "Copper concentrate 0.1174 15 False False False\n", + "Currency exchange rates 0.1420 1 False False False\n", + "Global GDP growth 0.1694 16 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", + "COVID copper 0.4699 7 False False False\n", + "Energy crisis 0.5680 5 False False False\n", + "COVID 0.6627 14 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": [ + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 51ms/step\n", + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 56ms/step\n", + "WARNING:tensorflow:5 out of the last 5 calls to .one_step_on_data_distributed at 0x310a13740> 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 47ms/stepWARNING:tensorflow:6 out of the last 6 calls to .one_step_on_data_distributed at 0x310a13740> 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 49ms/step\n", + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 57ms/step\n", + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 51ms/step\n", + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 55ms/step\n", + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 51ms/step\n", + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 58ms/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 51ms/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 49ms/step\n", + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 55ms/step\n", + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 51ms/step\n", + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 57ms/step\n", + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 62ms/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 51ms/step\n", + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 57ms/step\n", + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 80ms/step\n", + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 68ms/step\n", + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 59ms/step\n", + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 65ms/step\n", + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 51ms/step\n", + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 58ms/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 62ms/step\n", + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 68ms/step\n", + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 51ms/step\n", + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 57ms/step\n", + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 49ms/step\n", + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 55ms/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 58ms/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 66ms/step\n", + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 51ms/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-CV – RMSE (Expanding-Window)\n" + ] + }, + { + "data": { + "text/html": [ + "
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Without Google Trendsp-value ≤ 5%p-value ≤ 10%
RMSENo.RMSENo.RMSENo.
Model
LR0.1520.1810.191
RF_LR0.1530.1830.192
XGB_LR0.1510.1970.196
GBDT_LR0.1560.1950.194
AdaBoost_LR0.1570.1840.195
ET_LR0.1550.1990.209
GBDT0.19140.1820.2110
AdaBoost0.18110.1980.193
XGB0.16100.23120.2512
ET_AdaBoost_GBDT_Xgboost_RF_LR0.1690.22110.2411
ET0.18130.19100.208
RF0.18120.1960.207
GRU0.27150.30130.5214
LSTM0.42160.36140.3113
SVR0.1540.63150.9215
MLP0.1581.72161.2416
\n", + "
" + ], + "text/plain": [ + " Without Google Trends p-value ≤ 5% \\\n", + " RMSE No. RMSE No. \n", + "Model \n", + "LR 0.15 2 0.18 1 \n", + "RF_LR 0.15 3 0.18 3 \n", + "XGB_LR 0.15 1 0.19 7 \n", + "GBDT_LR 0.15 6 0.19 5 \n", + "AdaBoost_LR 0.15 7 0.18 4 \n", + "ET_LR 0.15 5 0.19 9 \n", + "GBDT 0.19 14 0.18 2 \n", + "AdaBoost 0.18 11 0.19 8 \n", + "XGB 0.16 10 0.23 12 \n", + "ET_AdaBoost_GBDT_Xgboost_RF_LR 0.16 9 0.22 11 \n", + "ET 0.18 13 0.19 10 \n", + "RF 0.18 12 0.19 6 \n", + "GRU 0.27 15 0.30 13 \n", + "LSTM 0.42 16 0.36 14 \n", + "SVR 0.15 4 0.63 15 \n", + "MLP 0.15 8 1.72 16 \n", + "\n", + " p-value ≤ 10% \n", + " RMSE No. \n", + "Model \n", + "LR 0.19 1 \n", + "RF_LR 0.19 2 \n", + "XGB_LR 0.19 6 \n", + "GBDT_LR 0.19 4 \n", + "AdaBoost_LR 0.19 5 \n", + "ET_LR 0.20 9 \n", + "GBDT 0.21 10 \n", + "AdaBoost 0.19 3 \n", + "XGB 0.25 12 \n", + "ET_AdaBoost_GBDT_Xgboost_RF_LR 0.24 11 \n", + "ET 0.20 8 \n", + "RF 0.20 7 \n", + "GRU 0.52 14 \n", + "LSTM 0.31 13 \n", + "SVR 0.92 15 \n", + "MLP 1.24 16 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Table 9-CV – MAPE (%) (Expanding-Window)\n" + ] + }, + { + "data": { + "text/html": [ + "
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Without Google Trendsp-value ≤ 5%p-value ≤ 10%
MAPENo.MAPENo.MAPENo.
Model
LR2.62%23.15%13.31%2
RF_LR2.64%33.16%23.32%3
XGB_LR2.61%13.20%43.40%6
GBDT_LR2.67%53.22%53.34%4
AdaBoost_LR2.69%73.20%33.35%5
ET_LR2.67%43.30%83.58%7
GBDT3.28%133.29%73.90%10
AdaBoost3.27%113.56%103.31%1
XGB2.93%104.09%124.48%12
ET_AdaBoost_GBDT_Xgboost_RF_LR2.78%93.82%114.24%11
ET3.28%123.32%93.61%8
RF3.29%143.22%63.66%9
GRU5.04%155.62%138.35%14
LSTM6.84%166.03%145.44%13
SVR2.69%610.59%1516.04%15
MLP2.73%823.95%1621.37%16
\n", + "
" + ], + "text/plain": [ + " Without Google Trends p-value ≤ 5% \\\n", + " MAPE No. MAPE No. \n", + "Model \n", + "LR 2.62% 2 3.15% 1 \n", + "RF_LR 2.64% 3 3.16% 2 \n", + "XGB_LR 2.61% 1 3.20% 4 \n", + "GBDT_LR 2.67% 5 3.22% 5 \n", + "AdaBoost_LR 2.69% 7 3.20% 3 \n", + "ET_LR 2.67% 4 3.30% 8 \n", + "GBDT 3.28% 13 3.29% 7 \n", + "AdaBoost 3.27% 11 3.56% 10 \n", + "XGB 2.93% 10 4.09% 12 \n", + "ET_AdaBoost_GBDT_Xgboost_RF_LR 2.78% 9 3.82% 11 \n", + "ET 3.28% 12 3.32% 9 \n", + "RF 3.29% 14 3.22% 6 \n", + "GRU 5.04% 15 5.62% 13 \n", + "LSTM 6.84% 16 6.03% 14 \n", + "SVR 2.69% 6 10.59% 15 \n", + "MLP 2.73% 8 23.95% 16 \n", + "\n", + " p-value ≤ 10% \n", + " MAPE No. \n", + "Model \n", + "LR 3.31% 2 \n", + "RF_LR 3.32% 3 \n", + "XGB_LR 3.40% 6 \n", + "GBDT_LR 3.34% 4 \n", + "AdaBoost_LR 3.35% 5 \n", + "ET_LR 3.58% 7 \n", + "GBDT 3.90% 10 \n", + "AdaBoost 3.31% 1 \n", + "XGB 4.48% 12 \n", + "ET_AdaBoost_GBDT_Xgboost_RF_LR 4.24% 11 \n", + "ET 3.61% 8 \n", + "RF 3.66% 9 \n", + "GRU 8.35% 14 \n", + "LSTM 5.44% 13 \n", + "SVR 16.04% 15 \n", + "MLP 21.37% 16 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Table 10-CV – Directional Stat (Expanding-Window)\n" + ] + }, + { + "data": { + "text/html": [ + "
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Without Google Trendsp-value ≤ 5%p-value ≤ 10%
DstatNo.DstatNo.DstatNo.
Model
LR0.4630.45110.485
RF_LR0.4630.45130.4710
XGB_LR0.4630.45130.485
GBDT_LR0.4630.4670.4710
AdaBoost_LR0.4630.4670.485
ET_LR0.4630.45130.485
GBDT0.45130.4750.522
AdaBoost0.39150.45110.4613
XGB0.36160.4830.4612
ET_AdaBoost_GBDT_Xgboost_RF_LR0.4720.4750.485
ET0.5010.4840.484
RF0.43140.5510.531
GRU0.4630.4670.4613
LSTM0.4630.4670.4613
SVR0.4630.4920.4613
MLP0.4630.43160.503
\n", + "
" + ], + "text/plain": [ + " Without Google Trends p-value ≤ 5% \\\n", + " Dstat No. Dstat No. \n", + "Model \n", + "LR 0.46 3 0.45 11 \n", + "RF_LR 0.46 3 0.45 13 \n", + "XGB_LR 0.46 3 0.45 13 \n", + "GBDT_LR 0.46 3 0.46 7 \n", + "AdaBoost_LR 0.46 3 0.46 7 \n", + "ET_LR 0.46 3 0.45 13 \n", + "GBDT 0.45 13 0.47 5 \n", + "AdaBoost 0.39 15 0.45 11 \n", + "XGB 0.36 16 0.48 3 \n", + "ET_AdaBoost_GBDT_Xgboost_RF_LR 0.47 2 0.47 5 \n", + "ET 0.50 1 0.48 4 \n", + "RF 0.43 14 0.55 1 \n", + "GRU 0.46 3 0.46 7 \n", + "LSTM 0.46 3 0.46 7 \n", + "SVR 0.46 3 0.49 2 \n", + "MLP 0.46 3 0.43 16 \n", + "\n", + " p-value ≤ 10% \n", + " Dstat No. \n", + "Model \n", + "LR 0.48 5 \n", + "RF_LR 0.47 10 \n", + "XGB_LR 0.48 5 \n", + "GBDT_LR 0.47 10 \n", + "AdaBoost_LR 0.48 5 \n", + "ET_LR 0.48 5 \n", + "GBDT 0.52 2 \n", + "AdaBoost 0.46 13 \n", + "XGB 0.46 12 \n", + "ET_AdaBoost_GBDT_Xgboost_RF_LR 0.48 5 \n", + "ET 0.48 4 \n", + "RF 0.53 1 \n", + "GRU 0.46 13 \n", + "LSTM 0.46 13 \n", + "SVR 0.46 13 \n", + "MLP 0.50 3 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step\n", + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step\n", + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step\n", + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step\n", + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step\n", + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step\n", + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step\n", + "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step\n", + "\n", + "Table 8-T – RMSE (Final Test Fold)\n" + ] + }, + { + "data": { + "text/html": [ + "
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Without Google Trendsp-value ≤ 5%p-value ≤ 10%
RMSENo.RMSENo.RMSENo.
Model
LR0.1820.2050.218
RF_LR0.1850.2160.216
AdaBoost_LR0.1830.2180.229
GBDT_LR0.1810.2170.215
XGB_LR0.1870.2190.2210
ET_LR0.1860.21100.217
ET_AdaBoost_GBDT_Xgboost_RF_LR0.1840.21110.2211
GBDT0.21130.2040.214
AdaBoost0.21110.2030.203
RF0.21120.1910.202
ET0.21100.1920.191
XGB0.22140.27120.2712
LSTM0.30150.30130.3013
GRU0.30160.30140.3014
SVR0.1880.49150.5715
MLP0.1892.73161.9516
\n", + "
" + ], + "text/plain": [ + " Without Google Trends p-value ≤ 5% \\\n", + " RMSE No. RMSE No. \n", + "Model \n", + "LR 0.18 2 0.20 5 \n", + "RF_LR 0.18 5 0.21 6 \n", + "AdaBoost_LR 0.18 3 0.21 8 \n", + "GBDT_LR 0.18 1 0.21 7 \n", + "XGB_LR 0.18 7 0.21 9 \n", + "ET_LR 0.18 6 0.21 10 \n", + "ET_AdaBoost_GBDT_Xgboost_RF_LR 0.18 4 0.21 11 \n", + "GBDT 0.21 13 0.20 4 \n", + "AdaBoost 0.21 11 0.20 3 \n", + "RF 0.21 12 0.19 1 \n", + "ET 0.21 10 0.19 2 \n", + "XGB 0.22 14 0.27 12 \n", + "LSTM 0.30 15 0.30 13 \n", + "GRU 0.30 16 0.30 14 \n", + "SVR 0.18 8 0.49 15 \n", + "MLP 0.18 9 2.73 16 \n", + "\n", + " p-value ≤ 10% \n", + " RMSE No. \n", + "Model \n", + "LR 0.21 8 \n", + "RF_LR 0.21 6 \n", + "AdaBoost_LR 0.22 9 \n", + "GBDT_LR 0.21 5 \n", + "XGB_LR 0.22 10 \n", + "ET_LR 0.21 7 \n", + "ET_AdaBoost_GBDT_Xgboost_RF_LR 0.22 11 \n", + "GBDT 0.21 4 \n", + "AdaBoost 0.20 3 \n", + "RF 0.20 2 \n", + "ET 0.19 1 \n", + "XGB 0.27 12 \n", + "LSTM 0.30 13 \n", + "GRU 0.30 14 \n", + "SVR 0.57 15 \n", + "MLP 1.95 16 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Table 9-T – MAPE (%) (Final Test Fold)\n" + ] + }, + { + "data": { + "text/html": [ + "
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Without Google Trendsp-value ≤ 5%p-value ≤ 10%
MAPENo.MAPENo.MAPENo.
Model
LR2.71%53.27%33.46%9
RF_LR2.71%33.29%43.46%6
AdaBoost_LR2.71%43.29%53.46%7
GBDT_LR2.71%63.31%73.45%5
XGB_LR2.70%13.30%63.46%8
ET_LR2.70%23.26%23.37%3
ET_AdaBoost_GBDT_Xgboost_RF_LR2.71%73.21%13.32%2
GBDT3.50%133.57%113.77%11
AdaBoost3.50%123.31%83.40%4
RF3.42%113.39%103.50%10
ET3.38%103.33%93.30%1
XGB3.59%144.27%124.24%12
LSTM5.41%155.41%135.41%13
GRU5.42%165.42%145.42%14
SVR2.78%87.70%1510.02%15
MLP2.81%935.30%1626.96%16
\n", + "
" + ], + "text/plain": [ + " Without Google Trends p-value ≤ 5% \\\n", + " MAPE No. MAPE No. \n", + "Model \n", + "LR 2.71% 5 3.27% 3 \n", + "RF_LR 2.71% 3 3.29% 4 \n", + "AdaBoost_LR 2.71% 4 3.29% 5 \n", + "GBDT_LR 2.71% 6 3.31% 7 \n", + "XGB_LR 2.70% 1 3.30% 6 \n", + "ET_LR 2.70% 2 3.26% 2 \n", + "ET_AdaBoost_GBDT_Xgboost_RF_LR 2.71% 7 3.21% 1 \n", + "GBDT 3.50% 13 3.57% 11 \n", + "AdaBoost 3.50% 12 3.31% 8 \n", + "RF 3.42% 11 3.39% 10 \n", + "ET 3.38% 10 3.33% 9 \n", + "XGB 3.59% 14 4.27% 12 \n", + "LSTM 5.41% 15 5.41% 13 \n", + "GRU 5.42% 16 5.42% 14 \n", + "SVR 2.78% 8 7.70% 15 \n", + "MLP 2.81% 9 35.30% 16 \n", + "\n", + " p-value ≤ 10% \n", + " MAPE No. \n", + "Model \n", + "LR 3.46% 9 \n", + "RF_LR 3.46% 6 \n", + "AdaBoost_LR 3.46% 7 \n", + "GBDT_LR 3.45% 5 \n", + "XGB_LR 3.46% 8 \n", + "ET_LR 3.37% 3 \n", + "ET_AdaBoost_GBDT_Xgboost_RF_LR 3.32% 2 \n", + "GBDT 3.77% 11 \n", + "AdaBoost 3.40% 4 \n", + "RF 3.50% 10 \n", + "ET 3.30% 1 \n", + "XGB 4.24% 12 \n", + "LSTM 5.41% 13 \n", + "GRU 5.42% 14 \n", + "SVR 10.02% 15 \n", + "MLP 26.96% 16 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Table 10-T – Directional Stat (Final Test Fold)\n" + ] + }, + { + "data": { + "text/html": [ + "
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Without Google Trendsp-value ≤ 5%p-value ≤ 10%
DstatNo.DstatNo.DstatNo.
Model
LR0.5230.4880.4513
RF_LR0.5230.4880.4513
AdaBoost_LR0.5230.4880.489
GBDT_LR0.5230.4880.4513
XGB_LR0.5230.4880.489
ET_LR0.5230.45130.489
ET_AdaBoost_GBDT_Xgboost_RF_LR0.5510.5720.489
GBDT0.48130.5060.601
AdaBoost0.40150.43140.573
RF0.43140.5230.554
ET0.5510.6010.601
XGB0.31160.36160.3316
LSTM0.5230.5230.525
GRU0.5230.5230.525
SVR0.5230.5060.507
MLP0.5230.43140.507
\n", + "
" + ], + "text/plain": [ + " Without Google Trends p-value ≤ 5% \\\n", + " Dstat No. Dstat No. \n", + "Model \n", + "LR 0.52 3 0.48 8 \n", + "RF_LR 0.52 3 0.48 8 \n", + "AdaBoost_LR 0.52 3 0.48 8 \n", + "GBDT_LR 0.52 3 0.48 8 \n", + "XGB_LR 0.52 3 0.48 8 \n", + "ET_LR 0.52 3 0.45 13 \n", + "ET_AdaBoost_GBDT_Xgboost_RF_LR 0.55 1 0.57 2 \n", + "GBDT 0.48 13 0.50 6 \n", + "AdaBoost 0.40 15 0.43 14 \n", + "RF 0.43 14 0.52 3 \n", + "ET 0.55 1 0.60 1 \n", + "XGB 0.31 16 0.36 16 \n", + "LSTM 0.52 3 0.52 3 \n", + "GRU 0.52 3 0.52 3 \n", + "SVR 0.52 3 0.50 6 \n", + "MLP 0.52 3 0.43 14 \n", + "\n", + " p-value ≤ 10% \n", + " Dstat No. \n", + "Model \n", + "LR 0.45 13 \n", + "RF_LR 0.45 13 \n", + "AdaBoost_LR 0.48 9 \n", + "GBDT_LR 0.45 13 \n", + "XGB_LR 0.48 9 \n", + "ET_LR 0.48 9 \n", + "ET_AdaBoost_GBDT_Xgboost_RF_LR 0.48 9 \n", + "GBDT 0.60 1 \n", + "AdaBoost 0.57 3 \n", + "RF 0.55 4 \n", + "ET 0.60 1 \n", + "XGB 0.33 16 \n", + "LSTM 0.52 5 \n", + "GRU 0.52 5 \n", + "SVR 0.50 7 \n", + "MLP 0.50 7 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "🏆 Best model = RF (tier 0.05) Dstat = 0.5514\n" + ] + }, + { + "data": { + "image/png": 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", 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RbTcPB5ftlXlEZJbcVtlXsn4Rsw4cOIC1a9eWYs9D5QTL8mX7ZLnSBmmXrKskyPB2EYIfeOABJUJLISkpOCXHVpyUkpkq+/G2227DK6+8oobIi0NW9rO4fqX4lOxbT9EG77//vjp2UrhNliNObRHzv/jiCyQkJCgBUM4XEcAlL7UsESeqRDaIC1vWJe5TaZ8In9rxLa9F9JTzSLJ8xTUu84so7wrZZyJySjE3yRwW16tsoxTyEseqxEqISzUQTmKJIhDxdfTo0crZKgL+hAkTlFv53HPPVfNI0bhLL71UbZfcFJH5JGvaXaasL38Dvuy3hx9+WBVbk+zi66+/XhWqk3Np/fr16uaCHHOJQhG3thSI+/7775W7V85p+fdEHoQQQgghhJQpxYQQQkg156233iquVatWcVZWlt30zz//vLhdu3bFERERxR07diz+8ssvi5955hmxBtrNd/z48eLw8PDi//u///N5nWlpacVPP/10cbdu3Yqjo6OLIyMji7t27Vr8+OOPFyclJdnN+/333xf36tVLtaNevXrFV199dfGBAwfs5hk7dmxxTExM8c6dO4vPOusstcyEhATV3sLCQut8u3fvVu1//fXXi998883i5s2bq+WeeuqpxWvXrnVqpyzvuuuuK27UqFFxWFhYcdOmTYvPP//84h9//NE6j+wXWeby5ct92va5c+eq+b/99lu1vQ0bNiyOiooqPu+884r37t1rN+/pp59e3KVLF5fLkc/kYUaO4RNPPFGcmJio2ivtHjNmjNoOM5999llxnz591HpjY2PVcXjkkUeKDx065LX969atK7744ovVsZDjLueIbEdqamrxmjVr1DJ79OhRfOLECa/74IcffrCb7ur8kvd33nmn0zLkGMixlv0n7WjRokXxbbfd5nT+TJgwobh169bFISEhalmybm+sXr1aHXdZpixbzq3u3bsXP/jgg8U7duxw+R05p2T5co75wqpVq4qvvPJKtQ45B2U75NxasWKF3XwpKSnFl1xyiTqn69atq7Zxw4YNal1y7vn7N+DrfsvIyFDHtW3btmq++vXrFw8aNKj4jTfeKM7Ly7POt2jRInUuyTzSJlkfIYQQQgghZU2Q/K9sZWFCCCGkYhEHorhIx48fj5tuusnv74tDVL67c+fOMivG5Q1xA4oD0NWQdjPiEExMTMTrr7+uioxVBPPmzcOwYcOUszXQBbsIIYQQQgghpCbATFtCCCHVHhmCLbEAImRKLqk/SNEriVF48sknK0ywJYQQQgghhBBSs2CmLSGEkBrBo48+qh7+Inmo+/btK5M2EUIIIYQQQgghrqDTlhBCCCGEEEIIIYQQQioRzLQlhBBCCCGEEEIIIYSQSgSdtoQQQgghhBBCCCGEEFKJoGhLCCGEEEIIIYQQQgghlYgqUYisoKAAq1evRkJCAoKDqTMTQgghhBBCCCGkalBUVITk5GT06tULoaFVQoYhhFQCqsS/FiLY9u/fv6KbQQghhBBCCCGEEFIili1bhn79+lV0MwghVYQqIdqKw1b/A9e4ceOKbg4hhBBCCCGEEEKITyQlJSkjmtY2CCGk2oi2OhJBBNtmzZpVdHMIIYQQQgghhBBC/IJxj4QQf+C/GIQQQgghhBBCCCGEEFKJoGhLCCGEEEIIIYQQQgghlQiKtoQQQgghhBBCCCGEEFKJqBKZtoQQQgghhBBCCCHEPwoLC5Gfn1/RzSCEWAgLC0NISAh8gaItIYQQQgghhBBCSDWiuLgYhw8fxvHjxyu6KYQQB+rUqYNGjRohKCgInqBoSwghhBBCCCGEEFKN0IJtw4YNER0d7VUcIoSUz82UrKwsHDlyRL1v3Lixx/kp2hJCCCGEEEIIIYRUo0gELdjGx8dXdHMIISaioqLUswi38jfqKSqBhcgIIYQQQgghhBBCqgk6w1YctoSQyof+2/SWN03RlhBCCCGEEEIIIaSawUgEQqr23yZFW0IIIYQQQgghhBBCCKlEULQlhBBCCCGEEEIIIYSQSgRFW0IIIYQQQgghhBBS4Vx//fUYNWpUhax7z549atj6mjVryn3ds2bNUus+fPiw3fTGjRujVatWLtv5999/l3MrSXlD0ZYQQgghhBBCCCGEVHry8vIqbN3FxcUoKCgok2UPGTIEoaGhmDdvnnXa5s2bkZ2djbS0NCXUaubOnYuIiAgMHjy4ROvyVvyKVB4o2hJCCCGEEEIIIYRUEv79919ccMEFaNKkiXJUTps2zUk8fPrpp5ULMyoqCiNGjMD27dvt5ikqKsL+/fuxatUqrF69Wol+hYWFqGoMHToUd911F+677z7Ur18fI0eOVNPfeustdOvWDTExMWjevDnuuOMOnDx50vq9iRMnok6dOpg9ezY6deqEWrVq4eyzz0ZSUpLP6xYBVfb/H3/8gT59+iih9L///sPOnTtx0UUXISEhQS23X79++Ouvv+y+e+TIEXUM5fgkJiZiypQpyjH7zjvvuFyXXo5ZtJXXIuaKOOs4/ZRTTkFkZKRy6Mo8sq3x8fE4//zzVfscXbnff/89Tj/9dPUdaQupGlC0JYQQQgghhBBCCKkkZGZmokePHvjwww9dfj5+/Hi89957+OSTT7B06VIlXIqYmZOTY53n6NGj6n379u3Rtm1bZGRkYO/evcjKK3D7yMm3F3UDMW8gmDRpEsLDw7Fw4UK1zUJwcLDaBxs3blSf//PPP3jkkUfs25SVhTfeeANfffWVEsL37duHhx56yO/1P/bYY3j11VeV87V79+5KHD733HNVPIEI4iIGi0AryzfHPIhoLq7YH3/8ER999JEScj0xbNgwNb9GXotoLWKrebqItjKvPlceeOABrFixQrVH9svo0aOVaO+4Dffee6/aBi18k8pPaEU3gBBCCCGEEEIIIcQV+/enY+/edAwZ0gI1hXPOOUc9XCEuW3FrPvnkk8rtKUyePFm5PsWRe8UVVyinpQyrb9q0qXJwCi1atFBu3DM+2+x2vcM6NMCXN/S3vu/zwl/IdhBnNQMS6+H72wZa3w95bS5SM52jC/a8eh5KS7t27ZRQbUactxpxsL744ov43//+p8RRcwyAiLxt2rRR78Wx+/zzz/u9fvnOmWeeaX1fr149JaprXnjhBfzyyy+YMWOGWse2bduUO3fZsmXKPSt8/vnnyvHrCRFiX375ZeUGFhf1/Pnz8fDDD6tIho8//ljNs2vXLiUOa9H2kksusVvGF198gQYNGmDTpk3o2rWr3f66+OKL/d52UrHQaUsIIYQQQgghhBCfSc9Nx2vLXsOmY5tKv7BjO4HfHwaO73f6aOnSA+jXbwIuuOBbbN16FFUdcbueOHHC+sjNzfV7Gbt371bFqiQSQVO7dm0MGDAAixcvVu+lkJY4LqOjo63zxMXFoaoi0QSOSBzB8OHDlTAdGxuLa6+9FseOHVPuWo1svxZsBRFCvbldXdG3b1+79+K0FceuiLASSyDCuDhYtdNWXks+rbndHTt2VPN6YtCgQcpRLE5aEV1FeO/du7daf0pKijr28plELkg8giBC/JVXXonWrVurY6yLlpldv662gVQN6LQlhBBCCCGEEEKqCUVFxQgODirTdYxfPh4zds7A15u/xvqx60u3sK9GAcf3AckbgRt+t07+9tv1uPG2XxF7ZgsEpefhnntnYfasa1CV6dy5s937Z555Bs8++6xfyxDBVhBnrRl5rz+TaATHzyXXVITE+Xf3Vk5MVwQH2Z83K5+yCcPe5v3vUcP5WRZI/IMZyWmV7Nbbb78dL730knK+StbsTTfdpAqVabE6LCzMaR+IU7m06xfBds6cOSp6QaInREQdM2ZMqYukSbv79++vohBSU1NVVm1ISIh6iKAr0+UhGbci7goSy9CyZUtMmDBBZSBLLII4bB3b4rgNpGpA0ZYQQgghhBBCCKni7NiRiptumoF165IxdeoYnHmmzWEYaLambg3cwrTDdt8Sq+j83HPz8Pzz/yKsfhSi29VFcH4Rvhk3HFUdcU+KM1Qjha3Km6iwEESH+yYF+Tqfv/OWlpUrVypx8s0331SOYmHq1Knltn7J1pXMWsmO1c5bEZLNrlqJNJB26niErVu34vjx416XLbEH3333HdLS0lSerea0005TLluJTJAYCEGcxbJcEWxPPfVUNU3Ea1J9YDwCIYQQQgghhBBShZk6dSN69/4U//67F8eP5+DLL9eU6fpiwgLo2rvIUmyrtSFQ3X77b0qwFULjDDdhxxZ1EB9vG+pfVZFh/DKEXT9KIto2atRIPScnJ9tNl/f6s/r16zsVohKHqQiJju7Tqoi4WyWv9v3331cZr1JoTBcoKw8kY/fnn39WMRRr167FVVddZbe/O3TooIqT3XbbbapQnIi3N998s3Lk+iLaSuTB7NmzVQEyjbyWzGIpbqbzbOvWrYv4+Hh89tln2LFjhyrGJkXJSPWBoi0hhBBCCCGEEFIFyckpwB13zMTll/+IjAzbcOjMzPwyXe+Ilsaw+XMSXRfL8otYyzD+k0ewd+9xfPbZKvVWRt9fdoNR7KlpXe9iV00hMTFRibN///23dZrk44o4OHCgURisZ8+eSkQ057vKPNVlmLwUAXvrrbfw2muvqSiAKVOm4JVXXim39cu6RTCVyAKJJxg5cqTKnjXz5ZdfqrgCEVulANitt96Khg0bel22HEMR80VkN2fiSmaxCNWSn6vdu+IyFleuiMKyH+6//368/vrrZbDFpKJgPAIhhBBCCCGEEFIFGTt2mnLZuhJzy5KiYsNVGBxUSh+Y5IvW0qJtMg4cMIRF4X//64uWfRtj3rydaFqnZom2MtxenJMaKUAlrk7Jbm3RogXuu+8+vPjii8rxKSLuU089pQTCUaNGqfml+Jbk2h46dMgqAEphKvm+zkKtrEycONHuvUQCuEIESnmYkWJkGokvkIcZ2T+eMm2liJf5c4kncDW/zCeuVjN33nmn3XsR1n/77Te7aXKcvBEZGYmcnByn6XIcpTCZI1KQTmI3zJjb7LhNpGpB0ZYQQgghhBBCCKmCzJmzUz2Hh4fgrbfOwl13/VEuom2Heh1weYfL0SW+S+kWtGueUYhMyExB6tEM60dNmsTi0HFDpGpSJxI1iRUrVliHwAt6yPvYsWOVqPnII48gMzNTuTclJ1UKVs2aNUsJfhqJSBCBVjJPpQCXOEObN29eIdtDCCkZFG0JIYQQQgghhJAqRnZ2PtLSDEde//5Ncccd/ayibW5u2Yq2hUWFWJeyDoXFhRjdzijGVCLSdtteD7wTqfttTtv69aOx1ira1iynrTuHp0ZE2Oeff1493CFD50WkNQu5hJCqBUVbQgghhBBCCCGkipGUdNLOlSpCXkRECHJzC8vcaZuRl4HNqZtRK7xW6RaUtsd4HvA/YORLOPL6QutH8fFR+OjsbjiQloWW8VU/h5WQPXss5zshPkLRlhBCCCGEEEIIqWIcOmSOEjDE08jI0HIRbXMLc9XzyTybcFwiUi1O27qt1NPRo1l2TtsGsRHqQQghNZFSpoYTQgghhBBCCCGkYkXbWKtoK5S1aPvVpq/Us7htA+K0rd0MOHEIOWlHrB/Fx0eXbtmEEFLFoWhLCCGEEEIIIYRUI9FW3LZliUQxlBrJbNWi7YK3gLc6oQ/mWD8+GQy8NHMTflp5oPTrIoSQKghFW0IIIYQQQgghpIpRkU7bgJCdBuRaCo8176+eIguOWT9OysnDhAW7MXXF/opqISGEVCjMtCWEEEIIIYQQQqqBaBsRUYVEW8nDbT0MyMu0ZtrWQprxXCscR07mqddN60RVaDMJIaSioGhLCCGEEEIIIYRUM6dtcXFxYGIMXBAWHFb6hdRpAVw3zXi94Sf1VDskXT3Hx0fh4HGjKFnTuhRtCSE1E8YjEEIIIYQQQogXCgqKMGvWDuzde7yim0KInWgrrtTY2Ag70VbIzy8qs3X3Teirnsd2HhuYBdZKUE/1I41tql8/GoeO56jXTei0JQ7IzYhp0yyCfxVk6NChuO+++1AT2bJlC0455RRERkaiZ8+eqIy0atUK77zzDioDFG0JIYQQQgghxAvvvrsE55wzBf36TUBWVn5FN4cQq2irXbaOom1ZRiQUFRuCcHBQKSSFwnwn0bZRTKZJtM1Wryna1iyuv/56Jco6Ps4+++xqIwL//PPPeOGFF1ATeeaZZxATE4OtW7fi77//rpQi6/Lly3HrrbeiMsB4BEIIIYQQQgjxwuLFRgX7lJQsbN9+DD16NKroJpEaTEZGLjIy8pxE24iIEDvRNi7OcOAGmi71u+DCNheic/3OJV/IV6OBI5uA0Z9aC5HVjsxDVGg+4uOjsc4i2jatExmoZpMqggi0X375pd20iIiyOZd9JS8vD+Hh4QFZVr169VBT2blzJ8477zy0bNkSlY08yzFu0KABKgt02hJCCCGEEEKIF9LTc62vjx0zxCRCKoqkpJPW1xXhtG1duzUOZBzA3H1zS76QtD1A1jEgsjYQEYeUJhfijUV9EBpchNr1I5FhaX/j2nTa1jREoG3UqJHdo27dum7n379/Py677DLUqVNHCaIXXXQR9uzZYzfPF198gS5duqhlN27cGHfddZfVpSmMHj1aOW71+2effVYN3/+///s/JCYmquH8wr59+9Tya9Wqhbi4OLXe5ORk63r097766iu1rNq1a+OKK65ARkaG23iE3NxcPProo2jevLlqX9u2bfH555+rz9LS0nD11VcrITEqKgrt2rVzErTNyLLvvvtutXzZZwkJCZgwYQIyMzNxww03IDY2Vi3/jz/+sH6nsLAQN910k9pOWUeHDh3w7rvvOjmgR40ahTfeeEPtv/j4eNx5553Iz8/36FiWYzJx4kTr5ytXrsTzzz+vXsu+EmTb27dvj+joaLRu3RpPPfWU3XKFX3/9Ff369VPHoX79+up46e3du3cv7r//fqsr23wczIgbVx9f8za99NJLaNKkidpuV85dWaacB7JOaaMcgxkzZtgtW97LdGnfsGHDMGnSJPW948dLF6lE0ZYQQgghhBBCvJCebuRrCseOGQWSCKko7IuQ1Sp30TYzPxOrjqzCxmMbS7aAgjwg3XCvo24rUUWwtMlTeHjO6cjIi0BCvWgsGzcc0+4cjJgIDhAOKHmZ7h/5OX7M63Dzyt18ZYyIeyNHjlRi5IIFC7Bw4UIlqIpbV5yTwscff6wERhnyvn79eiWwiXCph8ILIoQmJSVZ3ws7duzATz/9pOIM1qxZg6KiIiXYpqamYv78+ZgzZw527dqFyy+/3MlNKuLlb7/9ph4y76uvvup2G6677jp8++23eO+997B582Z8+umnahsEETA3bdqkRFb5TLZFREtPiGAo8yxbtkwJuLfffjsuvfRSDBo0CKtWrcJZZ52Fa6+9FllZxm+ZbFezZs3www8/qHU9/fTTGDduHKZOnWq33Llz56ptk2dZh4ixWpD1Bdm/Ipw/+OCD6vVDDz2kpsuxk+XIukUsFpH57bfftn5v5syZSjA999xzsXr1ahWr0L+/4c6XYyNtFyFYlikPf5BlSVSDHEs5Vu547rnnlEC/bt061Q4R0uU8EHbv3o0xY8YoAXjt2rW47bbb8MQTTyAQ8F8/QgghhBBCCPHCiRN02pLKKtq6dtrm5padaFtYXKie8825tP5wfB+AYiAsBogxhiIfPWq7GdKgQQwaxkWqBwkwLzdx/1m7s4Crf7C9f70tkO/mJlXLIcANM23v3+lmOKcdeTbd7yaKeKZFS42IiPJw5Pvvv1eiozghtctSBFhxeM6bN08JlC+++KISCu+9917r98S1Keih8DK/OHrNiOg7efJk6zwi7InoKyKduGIF+VyESBF79TKlPSJCihgpiEAq4qA4Oh3Ztm2bEkdl2SNGjFDTxG2qEWdvr1690LevUfzP7BR1R48ePfDkk0+q148//rgSjEXEveWWW9Q0EWVF/BUBUoqChYWFKVFSI47bxYsXq3aJUKkR5+4HH3yAkJAQdOzYUcUcyHbp5XpD9m9oaKg6tuZ9rduqt0/E3O+++w6PPPKImib7TdzK5jbKNgrirJb2yL52PH6+IPm6cu54i74QV+6VV16pXr/88stKYBdRXG4OiMguLt3XX39dfS6vN2zY4PJ4l6nTVuzFjmHQcqA8IUq9zCMW4W7duuH3338vbZsJIYQQQgghpALjEei0JZVTtHXMtC0rxi8fb7Qj81DJoxFMLls16Wg6msZmoH50FuLjGYlQk5Hh5eJsNT/+97//uZxXnI3iiBXRTsRAeYiQl5OTo1yhR44cwaFDhzB8+HC/2yG5q+Z8U3G6ilirBVuhc+fOSvCVz8zCoxZsBYkTkHa4QrZNRMfTTz/d5efikhUBU4b6i4i5aNEir+3u3r279bUsW6IMRI/TSGSCYG7Thx9+iD59+qjtlX342WefKcHYjIjTsjxftssfRHgfPHiwEl1l3SLimte9Zs2aEh0/X5D94ktWsXmfitAr0Rh628WpqwV7jXYCl7vTVg7SX3/9ZVtAqPtFyMkkSvQrr7yC888/H998842yC4sdu2vXriVvNSGEEEIIIYSUI3TakqrmtC1L0bbUpO22ibYWBqZ/iAMPzMZz80/Bzvwr8NLMTTijYwIGtomvuHZWR8Z5ENqDbIKc4uEdHuZ18ADetx6BQkQxHV/gjZMnTyqxccqUKU6fiQAZHBxcqnaUBHGumhHDo7hvXSEZsp4455xzVGarGCDFjSvipUQ9SLasP+s3T9OOZN0mEYXF3frmm29i4MCBSnAW1+jSpUv92i55X1xcbDePYzatI+LolagBcdFKzIVkAEt7pC2+7iNXyHH3pS2+HmN/jmkg8fvsFZHWHAbtKUtDsijEKvzwww+jU6dOeOGFF9C7d29lpyaEEEIIIYSQqkB+fiGysmwXexRtSUVT9UVbk9PWQnKmMRy+Ua1MbM3IwYQFu7HuQOmK+BAXhMe4f4RF+jGvg5Dmbr4yRjSm7du3o2HDhkroNT9EABQBUpyvMozfkyAnxbi8IbqWFD2Th0ZyWKXYlDhuS+r0FPFPcm/dIeLz2LFj8fXXX6sCWeKCDSSSAyx5t3fccYeKYpB9Jy5lf5F2mjNl5bjo3FxPZk9xNEsGrERASDEvEakdXa5/ezh+4pR1PH7SlsOHD9sJt+LYLQskDmHFihV208zZyOUq2spOl6pqkrEharijXdpRMdeZHBpRzmU6IYQQQgghhFQ1l63AeARSmUTbxo3dZdp6F6EqjHqtgdZDgcZGLqVw6IQhAjaulYm0PENwblKHMQk1kdzcXCW4mR9Hjx51Oa/oUmImlAJhUohM8mYly/aee+7BgQMHrFGf4tyUHFLRtGT09/vvv29dhhZ1ZT1paWlu2yX6loissk5ZhmSaShExiTbQmbP+IusWQfbGG29Uxct0+3URMMmfnT59uoqA2Lhxo8r7FfE4kIhQKqLj7NmzVcauFD8rieh4xhlnKJOmFAuT5UmkhaND1dW6RVcUd60IxXKMfvnlF7t5nnnmGVWoTZ4lhkJyhV977TW7ffjvv//i4MGD1vNk6NChSElJwfjx49VyJf5BirmVBVJ4bMuWLXj00UetGcW6QJt2NZeLaDtgwAC14lmzZqnQYjmZTj31VGRk2H4wzMgJr7MyNPJepnv7Az1x4oT14W75hBBCCCGEEFL+oi2dtqRyiLZ16kQiOtomikRElI/TNgilEyLQ7ybguulAj8utk/alRlqdtilZeeo1RduaiWhOkpdqfgwZMsTlvNHR0Uqwa9GiBS6++GIlaN50000q01ZyRwURRcWh+tFHH6nIT4nvFPFWI4KuRA9IVq04Td0hApwIqFKQ67TTTlMirhgaJZO1NIi+NmbMGOV0lZpQUtgrMzPT6iKVYmLiNpV1SqasCJyBFh1l311++eVK9zt27Jhqi7/IfpR9KDrhVVddpSIX5Ph44sILL8T999+Pu+66S+X2ivNWRGMzQ4cOVfWyZsyYoeYRcVgEc83zzz+PPXv2oE2bNtYMYjkP5HiLWCtFy2R+aU9ZIIXbfvzxR/z888/qOMnxFOewEBERUaplBxU7hjz4gVjAxcb81ltvqT8KR+TkmjRpkrXCmiA7TbIqkpOT3S5X7oKYq8JpxILerFmzkjaXEEIIIYQQQvxmzZrD6NXrU+v7du3qYdu2uyu0TaTmIpfwMTEvIzu7AJ07N8DGjTZx5YMPluHuuw032VdfjcY119iK5wSSxxY8hpm7ZuKhvg9hbJexAVnmFUMex3cjPsL+E7EYGvkZCouKseTx4WhU22HIfhVEHJ8iZpWXpiGCpZjsREySovCEkPLlpZdewieffGIXpVGSv9GSJzKru3p10L59e2XTdoVk3jqKs/JepntC7iKkp6dbH5IRQgghhBBCCCEVAZ22pDKRnp6rBFvHPNvyzLTVBXhCHAtX+UJhPpB70mny9sNG2xNislBYVITQ4CA0iC2dS40QQsoDMahKpMSuXbvw1VdfqUJu4vAuLaUSbaVKn2RDiFXdFVJ1zjEsWCznMt0TYh8WG7t+SHA0IYQQQgghhFQE6ek5du/T0rJRWFj2VaMJ8acImXOmbdmJtt0adMOZLc9Ei7gW/n/50GrglabAp6fbuYe3HDDkifCQQtRGpnLYhgSXMoaBEELKAYnbkFxlKUj3wgsv4MEHH1QpAuUq2kr+g1S0k6wIyZkYPXq0ytPQ8QcSwCwuWc29996rskgk10JCeaXBEkYsWRWEEEIIIYQQUlWcjWYkYO74cXshl5CKEW1rVYjTdmSrkcgqyMJP237y/8snDhrPYVF2bvas3GB8trIbvj56lprGPFtCSFXh7bffxqFDh1TsgS7mFhpq+/e4pIT6m8MiAq2EEku4rwRBL1myxBr0KxXfgoNtOvCgQYPwzTff4Mknn8S4ceNUVTiphte1a9dSN5wQQgghhBBCKiIeQUckxMd7LrBCSHk7bSMiQspFtM0tzMXCgwsRFVoCYTXfEi8SbhOcjx7NUs+3/XYmLr+iK+a8fB6y8wsD1l5CCKmK+CXaeqtQN2/ePKdpl156qXoQQgghhBBCSHWIRxCOHRORKb5C2kNqNr7GI5SlaBsEI7agRHXNtWgbGuEyJ7p+fBQaxrF4FiGElCrTlhBCCCGEEEJqotNWOwMJqYmi7X1z7zPWUViCmJCCHKd4BP33FBZciNb1M4GTKQFqKSGEVF0o2hJCCCGEEEKIH5m2js5AQipnIbKyixcICipFgTAt2to5bQ3R9tURC/AAbsair5/FPss0QgipqVC0JYQQUq4cOHCiZEPpCCGEkEqVaUtBiVS8aNuokX0hsoiI8nHalop8Ldo6O20Pn4xRz0kH92BfKv/GCCE1G4q2hBBCyo2HH/4TzZu/jZtumlHRTSGEEEJ8hk5bUhlF2/r1o+1E2vKMRzDj9834+DZAu7OAhp2c/p60aNsA6QgJLoWblxBCqgEUbQkhhJQbP/64WT3/8MOmim4KIYQQEoBCZISULyKQatHWMRqhokTbouIi/77Q4wrg6h+Afje5cNpGq+cGQccp2hJCajwUbQkhhJQbGRmGU+nkyTzk5ZVdzhohhBBS9vEIdNqS8kfOu/z8Ip9E27LMtI0NN9b9+mmvIyQ4pNTLc3LaBtFpW5M5fPgw7r77brRu3RoRERFo3rw5LrjgAvz9998V3TRCyhX7sRSEEEJIGZKRkWd9nZaWjYQE+xw2QgghpDLHI0RHhyErK1+9pmhLKr4ImXM/KiIipFycttpdW6qCZCYcM23rIQMHUUkzeUmZsmfPHgwePBh16tTB66+/jm7duiE/Px+zZ8/GnXfeiS1btqCyu+ELCwsRGlp6uS0vLw/h4eGVqk0V0f6aDJ22hBBCygVx1prdtampvNglhBBStZy2UvRJi2KMRyAVL9pWXDxC9/rdMbjpYDSIauD/l6deB7yYAKyabJ2k/54yi2uhAMEIDipGRG5qIJtMqgh33HGHuhmwbNkyXHLJJWjfvj26dOmCBx54AEuWLLHOt2/fPlx00UWoVasW4uLicNlllyE5Odn6+bPPPouePXvi008/VU7d6OhoNU96erp1nuuvvx6jRo3Cc889hwYNGqjl/O9//1Nio6aoqAivvPIKEhMTERUVhR49euDHH3+0fj5v3jzV3j/++AN9+vRRzuD//vvP5batX78eZ5xxhlpOfHw8br31Vpw8edKpPS+99BKaNGmCDh06qOn79+9XbRchu169emq7Rdx2h7s2eduWtLQ0XH311WpfyOft2rXDl19+af3cWztctX/cuHEYMGCAUxtl3c8//7z1/f/93/+hU6dOiIyMRMeOHfHRRx9ZP5Pjcdddd6Fx48bq85YtW6rtqAnQaUsIIaRckEgEM3QoEUIIqQqIQ0ln2tauHYHc3GgcPJjB3zFSKUXb8PDycdre3etuPPLvI5i0cRI6x3dGZGik71/OywIKcoCgYCenbd16MfgpaCTS8kNxRmhYWTS9xpOV7/6Gk0RdRIRE+DRvcFCw3XF3N290mJFT7AupqamYNWuWEv1iYgzXtRkRCwURH7VgO3/+fBQUFCgX7uWXX64ES82OHTswdepU/Prrrzhx4gRuuukmJQpPmTLFOo9ELogQKN8TAfKGG25Qgqq0QRBx8Ouvv8Ynn3yiRMx///0X11xzjRI2Tz/9dOtyHnvsMbzxxhsq0qFu3bpObc/MzMTIkSMxcOBALF++HEeOHMHNN9+sxMiJEyfatUfE4zlz5qj34jLW31uwYIFyy7744os4++yzsW7dOo9OVsc2eduWp556Cps2bVJib/369dX+y87O9qsdju3X+3Dnzp1o06aNer9x40b1nZ9++km9l+Px9NNP44MPPkCvXr2wevVq3HLLLeocGDt2LN577z3MmDFDHcsWLVoo8VgeNQGKtoQQQipEtKXTlhBCSFVA4hAKC4vV69q1I9VrQ7TNUoJuoIaHExII0VbOR3HbimCbm1t2om0xivHXvr/U6/yifETCD9FWBFvBIvjJ35G+CVK/fjROvfdL5BcWoVFtP5ZJfGbAN86uR82pTU/FRyNsDsehU4ciu8B1n71vQl98ebbNhXn2T2cjLTfNab71Y9f73DYRCeV8EKelJ0QYFNfq7t27lYtWmDx5snLkiiDar18/NS0nJ0dNb9q0qXr//vvv47zzzsObb76JRo0aqWkiNn7xxRfKiSvfF/fnww8/jBdeeEEJlS+//DL++usvJVYKIoCKa1UcvGbRVr535plnum3zN998Y22PFqRFpJSs3tdeew0JCQlqmnwmrlMtgorIKiK1TNO/N+J+FQFbhOazzjrL7TrNbcrNzfW6LeJeFtG0b9++6vNWrVpZl/X999/71A7H9mtXrWy/iMJapBX3bdu2bdX7Z555Rh2Tiy++WL0XJ7CIx59++qkSbaVdIjIPGTJErVuctjUFiraEEELKtQiZhqItIYSQqlaELC4uAlqjlSJPIujGxDCvj1Qe0VbQom1ZOm3NNyt0vq3fom1YlFOB2vj4aDSpY0wnNQ8RbH1h8+bNSqzVgq3QuXNnJSDKZ1q0FVemFmwFEStFeNy6datVtBVBUQRb8zwSWSBOTnnOyspyEmNluL6Im2a00OmpzbIus4NYsnt1e7RoKxm+ZsFz7dq1SsyOjbX/excBWNyrnjC3SZbhbVtuv/12FUmxatUqJcJK1MGgQYP8aodj+wWJXBBhXERbOcbffvutirvQDmT5vrigxV2rEfd07dq1rbEL0m6JWxBn7/nnn+9RrK5OULQlhBBSLtBpSwghpCoXIdPxCObh5+IOpGhLypMDB054FW117nJZirbXz7q+9KJtqDEM3xw1Ik5b5OcAWUcNJ25M/QC1mGiWXrXUYzyCmXmX2aIGXMUjmJl1yaxSt03clHJDoLIUG9N5szNnzrQTfwXJiTXjKs6hJDguR9ogubTmSAeNxBr4uixftuWcc87B3r178fvvv6t4g+HDh6vYCYlY8LUdrvbDlVdeiUcffVSJwRK3IIK4RFmY2zVhwgSn7NuQEON87N27t3JVS2yDOIUlV3fEiBF2ebzVFYq2hBBCygWKtoQQQqq601ZE2+hoW86mRCS0aGE4gQgpD/btM4oohYYGq8J4rtDFyMpStM0tyC25aCuirBAaZZdnK8THR2HF53ej7+GpyDnlPkSe/VyAWkxKkjFbVvO6Q4pbSW7qhx9+iHvuucdJADx+/Lhy00rBKp1rqt22MpxePhfHrUaG1R86dEgVxRKkkFlwcLC1wJd2kIqQKIW39DySlSvLlfaIoCnLMUchlARps2TXirNUb9fChQud2uOICJYSTdCwYUOVFVtSZL/4si0iwEokgTxOPfVUFRUhom1p2tGsWTO1ThF8ZV+La1aWI4jDWI7Prl27lCPXHXFxcUrolceYMWOU41YykOUYVWfsb40QQgghZURGBkVbQgghVQ9dhEzHI4iopGExMlJRom3z5nEICQmuMNG2CEWlcNrm2mXamkVbcdouOGAMkS86eTQgbSVVCxFsCwsL0b9/f1Woavv27SpaQIpR6SxWcVnKMHwR+cS9uWzZMlx33XVKGDRHAkiBMREfRZiV4lkiBItLU0cj6HgAGZovoq84TCVfVYqDiZgqUQAPPfQQ7r//fkyaNEkN45f1STauvPcHaatuz4YNGzB37lzcfffduPbaa63RCO6+J0XBpPCabIM4TiVDVrblwIEDPq/fl22RYmDTp09XMQhSLOy3335TYnMg2iHf/+677/DDDz84ibPPPfecKlYmx3jbtm0qr1jyct966y31uTxLpII4sOVzWYYcQ12YrjpDpy0hhJBygU5bQgghVT8eIVI5HM1OW0LKsz5AWppxE8GTw1uLtpK7XB7Zo36Lts37AXWaA1F1nP6O5KZIyhHDQRySkxqo5pIqhBTHEjHxpZdewoMPPoikpCTl/pSh+R9//LGaRyIURFwU0fO0005TAqs4L0WANCOFrqS41bnnnqtcmZKF+tFHtkJrgkQASCyDLEeKdclQ/meffdb6uRQkk/WLqChuUBEKxXU6btw4v7ZLcnNnz56Ne++9V2XuynvJj9XCpKfv/fvvvypeQLYlIyNDxRtIu/11vHrbFsmiffzxx7Fnzx7lPBanrQitgWiHuGNFDJfIA8nKNXPzzTer5b/++uvK2StOZBHl77vvPqvgPH78eCXgy/dl/4nALse9uhNU7GvScwUiqr1Y08X6LrZqQgghVY+PP16OO+743fr+zDNb488/r63QNhFCCCHe+OKL1bjpphnq9ccfn4eoqFBcf/109f7DD8/FHXcYBW8IKWs2bjyCrl0N0eraa7tj8uTRLucbMOD/sGzZQfW6qOhpu6JhgeLCaRdid/pu9XrOmDloFGNzLvrLu+8uwX33zVavJ381Cos3/YiPwt9DfrNTEHazMb2qU96ahhSHEidkYmKicnfWRER4nTZtGtasWeN2HilwJZEKMh8h5Ymvf6PVX5YmhBBSKZ22HFJKCCGkqsUjSKatVLfX0GlLypO9e41oBKFlS+9OWyEvr2zcttr7NeGsCUiIdj+02xfMfcK69aKRBqPAWnA2nbaEkJoNRVtCCCHlAjNtCSGEVP1CZJHMtCUVnmfrazxCWebaFhYbYnBkSGSpnbzmTNu69aKQWmwRbbOOlbKVhBBStWGmLSGEkHKBmbaEEEKqeqatUYgs2qXYREh5irYtW9bxSbQtq1zbrvW7omF0Q9QKM/JnPZGWlo2LL56K2NhwTPzsTNT7oicQGgHcvwEIi7K7+VGnbqRVtEVOGlBUCASHlMk2kOofj2DOpnXFxIkTy609hJQEOm0JIYSUW/EMR+dSfn7ZFcgghBBCAu+0FdGWTltS8fEInpy2EREhJXLaLl16AK+8sgBHjmR6nXf8aePRpnYb/N+G/8ORrCMe5/3889WYN28Pfv11G5549HcgLwPIOgqERDjd/KhdNxLHEYupBaej+JQ7gaKycQoTQkhVgKItIYSQcuHkyXynaceP23ICCSGEkKrgtK1TR4aDG++ZaUsqymnbvHlcQOMRsrPzcc45UzBu3D947LG/fPrO7L2zMXPXTJzMO4mXX16Ali3fwY8/bnKab9s2W8zBb9PWGS9CwgFL5Xf9dxQWFoxG8dH4/f4z0O3OrxF01guGI5cQQmooFG0JIYRUiNNWYEQCIYSQqlWILBIhIcGoW9dw29JpS8qTvXuPq+f69aMRExMeUNF25cokpKUZ5/qyZQfdz1hgi7sKCTIcvfmF+XjuuflKVH7ppQVOX9m9+7itbaFGe4otLtsFC/ZaRV3ZrtCQYLRLiEWnxnGlzsolQFFRUUU3gRBSir9NZtoSQgipkExbgaItIYSQqhSPIJmcgkQkyG8YnbakvCgoKMLBgxleoxGcM219E22XLDlgfb1rVxqKi4vtRdMTh4B3e4rcCjyVgoumXYTUnFT1UWpaNvLyjMgrEWAdv7t7d5r1dZRFtD2RHYzfpqzDjTfOsH535Mi2tvXlZwOZR4HIOCDS8/YSZ8LDwxEcHIxDhw6hQYMG6j1FcEIqHvn3MS8vDykpKepvVP42PUHRlhBCSLmQkUHRlhBCSNWNR6hVK1y5bAUpRrZ9e6r6TMS00FAOYCRly6FDGSgqKlavW7b0LGKWJNPWLNpmZxcgOTkTjRqZioyF1wIKLTcw8nNwPNfmnk05asvAzcrKx+HDJ9G4sVFMrLCwyBrrIJEO9SOPqtdpGcW45ppfrN8bObIN3n33bKRn5ePzhbtx8eb70Sr1P+DCD4De1/q0DcSGiEGJiYlISkpSwi0hpHIRHR2NFi1aqL9VT1C0JYQQUmFOWw4rJYQQUlWctlKETGMuRiY3IBs2jKmQtpGaF43gr9O2JKKtdsfaibZ7F9le555AUbFtaG/KsZN23925M80q2oo7OD/fmLdPnya48YzawLHJyM63tfG22/rggw/OVTc/9hzNxHt/b0ebiBC0EmNoli0Pl/iHOPhEFCooKEBhIYv/ElJZCAkJQWhoqE/ud4q2hBBCygVm2hJCCKnKmbZShEwjTluNRCRQtCXlWYQs0KLtgQMnrNEL5oiEgQOb2yYc32t7nXMChcU2EfDYMZvTVtixIxVDhrRwikZITKyD80e3xYa3ErHusDEk+PXXz8SDDw60ihcFFjfx8SBLoTWKtqVC9mtYWJh6EEKqHhRtCSGElAvMtCWEEFLVkOiDzMx8axEyV05bjhoh5cHevTbR1ls8gn2mbaHfLlst2tqRk273WnIZNccc+nM7dxpZt45FyES0DWrWB82fWYIZHy7H3LubY+jQVnbfLbSItidEtJWXWbZlEUJITYPhS4QQQsoc6dhr0TYkxDYMhKItIYSQqjJKxF08AouRkarutHUt2trEVifRNjfdGo/w3fnfoeBgPbtZd+xIcyn+JibWtd4AGTfuVCfBViiwVFQ/EUynLSGEULQlhBBS5khRCm3IaNrU0gmnaEsIIaSKFCHzHI/A3zJSuUTbiIhAiLaOTluTiJtjy7StE1EHRw4bESK+OG29YdFsDaetQNGWEFKDoWhLCCGkzMnIyHM5pI+iLSGEkKpQhEyg05ZUhniEiIgQrxnK/jht8/IKsXJlknrdpk1d1K8f7T0eIToeneI7oXN8Z0SERCA5+aRTpq3GnGnbqlUdYNVXwBsdgJkPumyPdtpm0GlLCCEUbQkhhJRvnm2zZnEIDjYiEijaEkIIqQpFyAQ6bUlFxkxpp624bL1VHPdHtF23Ltk6zymnNEPr1kaEwcGDJ5CbW+As2l7yOZB4KiafMxnDmg/DB6s/wOE8e6duWlqOtY+nnbYiNMfEhBuO3ZOHgVz7wmeOmbYpIQ2BntcA3S/z2H5CCKnOsBAZIYSQcs0ElIveunUj1UUuRVtCCCFVJR7BXIhMuxEFOm1JWSMiqL4B3rKl94gB+0JkBT5HI4hoW1hYjGXLDqpYK3H3tm8fb5s5OBSItI2Y+nPvn9ieth1p+WdJD88pIiE6OgGHDhnirBaDkW+5ERJquwlipmPjOEy/czBCpQZCEwq2hJCaDUVbQggh5eq0rVUrHPXqRVG0JYQQUk3iEfhbRsozz9ZeHHWFRCj46rR1FG21yKojEqyi7dhfxfJrPCTCIDgY8p9wIkP+BuKcIhLM7nRrnm2BFm1tf0NmakWEokdz78I0IYTUBCjaEkIIKddM29hYQ7QVjh/PQWFhEUJCmNZDCCGk8sF4BFLVipD5G4+gRVv5TvfuCViz5rD1M6dc26WfAnOeRlHXS3B24U4kZRpZuMUwIg1CQoKUU1fYuTMNdepEuhdtw2yfuSUvC8g6CsQ0AMJci7yEEFKd4VUyIYSQCnHaCmLWEOGWEEIIqfxOW5vIJAJXdHSYes14BFLW7N1r5MKWJB7Bk2ibkpKpxFWhT5/GCA8PscUYuBJtQ0KBwlwU5aRbBVtFsCHU9urV2M5pq/NshcTEug5OW9ei7d5jmfhk/k5MW30Q+PQ04J1uwMGVXreZEEKqIxRtCakhfPPNeiQmvou3315c0U0hNTzTNjY2wiraCoxIIIQQUhUybc1OW3OubXJyZrm3i9QsSuO0zc0tdDufZNeaoxEEl6Jt7klg4vnAzAfV26K8E3bLCQoyRNtBg4xlCCIG796d5uy0zfcs2m5PPolX/9iCiYv2ANGWaIasY163mRBCqiMUbQmpIbz88gLs2XMcjz/+t9dhUoSUl9PWUbRdtGg//vxzJyqaf/b9g/8O/lfRzSCEEFJJM22FVq0MEero0Sy7+QgJNFIQTNOypXfRNiLCN6etY56t0KxZHEJDDZnA6pTNOQ7sWWCdtyjHXrTVTts2beqhUaNanp22cU2AhK5AbCOXbSooMpYVGhxE0ZYQUuOhaEtIDSEp6aT1bvvKlYcqujmkhuEu09Ys2q5bl4zBg7/AyJFfY+LENagojuccx71z78Xtf92OgiLe4CCEkJqM2WlrjkcQ2rWrZ329fTtFJVI+TlsRVQMVj7Bkic1pO2BAU/Usgq0WhsVpWyxZVjm29QtFuY5OW+M5ISEGbdoY4uzhwyexYcMR9To4OAjNm1vafcYTwO0LgZ5XuWxToUW0le8g2vI3RtGWEFJDoWhLSA2goKAIaWk2N+N//+2r0PZUNz79dAVuv/03lQtGSu60nTPH5rAdN+5vZGXloyLIyLNVTS4sdj+kkBBCSM0tRCa0b29xAQLYto2iEil70VZcrGYXbWlFW32zQfplZjFYu2LFQa76aU6ira2vdOq2x5GxznDNJiTUQtu2tpsZW7cayxfBNiwsxIctFadtkQunbapP3yWEkOoGRVtCagDS2ZKb5Jr//ttfkc2pVkjkxP/+NxOffLIS7767tKKbU6UzbVetOmznDH/33SUel/nww3+iQYPX0aLF2+jZ8xMMGzYJ99zzh90FdkmINGWshQeHl2pZhBBCqm88gr3TlqISKRtycwusI+Z8iUbwNdNWHLSHDhniqwi2Qdouq3Jt69jn2mrRtlYjJ9H2xP5wFOeHWEVl7bQ1Y87J9UaR5aIlhPEIhBAC77fpCCFVHslaM7Nw4T4UFRUbw45Iqdi/P93JTUCcOXky385pGx/vSrQ1VSEG8OqrC3HrrX0QH28UejEzc+Y2vPGGraje/v3GML158/agceNaePzxU0vc1qJiw+EREhRidwFDCCGk5sYjyJBxsxAmtGtnc9pStCVlxYEDJ/wqQuar0/bYsWzk5xt9niZNYu0+cyxG1q+DJZu2bkugXmsERcSgbUwBilBsV4hP4hHMTlunImTCt1cBKVuAC94FEp37awWFzLQlhBANnbaE1EDRNi0tB5s2pVRYe6rrsP+kJJvrgHhy2trHI8hFQ2ZmHrZuPerkbpICeo5kZ+fj7rv/sKveHR5uG3JnduyWRrQNDuJPJCGE1HS001Zcto438syOQsYjkMpShEwICwv2KtoePGgTg5s0MYqHuRNtrU7buKbAjX8g9uof8cuoabim8zU43GEOohJTVV+sTp1IVYzMEWsRMuH4XiB1J1CU7zHTVjltG3YEel0DtBvp03YTQkh1g1ekhNRA0VZgrm3gC2xJwQVSskzbtWuTrREe55zT1uoQ+eCD5di711Z5WHj11f+s1YiHDm2FI0ceQmbmOOsFypYt9uKvvxQUGxc3+UX5yMp3/tshhBBSc9CRO45FyISoqDCr85GFyEh5FCHz1WkrNxh0X8qdaKujEbw5bVWfqzAXCA4FIu3X//fev4E+axHROAMNG8ao9Xp12uZb6myY4qjMnNGxIb695RQ8cGYHoGkf4KIPgQG3+rTdhBBS3aBoS0gNgKJt+YiRFG19E7ddibarV9uiEc4/vz3uu2+Aep2XV4gnnvjHqFwMYMeOVLz22kLrUNUPPzxXXSDIaz1MVdxOhYWGW7YkRIXa2pZdYCvgRwghpGYhvz06HsGxCJljrq2MYjp2jDf6SOBRTlcLLVuaxE8vBEq0VesffC/w1FHg3NdtM6m+mcV9Hlys8mwF6eOJ49at07Yg16No2zAuEgPbxKNzE1thNEIIqalQtCWkBkDRtnyG/Wdm5tu9J87idlRUKEJCgu068yLamvNse/dujEcfHYK6dY15pkxZj549P8VXX61VsQi6oMb995+Czp0bWL/XsWN9q9ArBeJKSv2o+giyXIToqARCCCE1DxG7CgqKXBYhc1WMjBEJpCzYudMm2roq8uVNtJVCZu5E21rhebir/2okNrDvv9ataxNeraKxxIOEhAETz0fKy41x4Q9nYuGh/4yPgotVnq3G0W1r57TVN8TDbDfJ3SLCcF4mcHwfUOS6oBohhFRnKNoSUgNIScm0cznqfCxzES1SeqetQLeta7SYHRtrXPSahVvDaWvk0EpxvO7dE9RnL710hvX769Yl47rrpmHWrB3WKsdPP3263To6dowPWFE4KUImFBbzAoEQQmoq2mXryWnbvj2LkZHyc9qaHbDeiIgI8eq0/eS8v/D+OXMxKOk5p8+10CrxDPn5pv5QUQHyi3KxOzvZNi3IXrQ1i8siHmsXriLfiBxBqOu/qQ0H0zF58R4s2mGJu3q1BfBONyCjdDULqhqFhYV46qmnkJiYiKioKLRp0wYvvPCCdfSZIK+ffvppNG7cWM0zYsQIbN++vULbTQgJLBRtCakBHD1qG+IteaGahQv3V1CLquewfyEpiaKtJ3Fb3zQQdESCVB3esOGI1S0bHR2mXt9+ez/8/PNl6NevidPy3n57pN2yhA4dDKdtaXNtxV2rc23ptCWEkJqLLkLmLtNW0NE8AnNtSVmwc2eqNcJAcpQDF49wEld336Jexx1b5vS5FogLC4uR+fPDwHdXAwdWABFxcLqlHQQkJNRy6bRt1aqOfRG/Ai3aunbaLth+FE9P34hfVh803L3Rlr+xrJr19/Xaa6/h448/xgcffIDNmzer9+PHj8f7779vnUfev/fee/jkk0+wdOlSxMTEYOTIkcjJsexjQkiVh6ItITUsHmHUqI5eIxKkmux5532De+/9w+5uLnGGTlv/xO3YWGfRVi6K8/OLrNEIZkaP7oSlS2/Gv/9ej4su6qDiFW67rQ8uuaST0zp0PEJpRdvtaTaHAkVbQgipuegiZEJcnP2NQtfxCHTaksCPVEpJyfI7GsEX0Vb6+54wu3qD9y0EtvwGZKcBkXEo1lm2FiQeweymNbfVzh0sEQf12wN1W7mNRygsMvpeIcGWddRQ0XbRokW46KKLcN5556FVq1YYM2YMzjrrLCxbZgjsco32zjvv4Mknn1Tzde/eHZMnT8ahQ4cwbdq0im4+ISRAULQlpAaJtjL0/Nxz26lnT6LtJ5+swO+/b8d77y3D4sUHyrWtVd1pS9HWGcmYlYc7p62ZXr0aOU0Td8app7bEtGlXICvrCXzyyfn2jg0LHTrEB0S0NUciULQlhJCaizkewZ3TVgoshYQYv0l02pKyzbO1z4n1PdO20KUJ49ChE/hmfQfjTS3n/pdZbC3KsrQjsrZy2jr1jhziEcyjn9q2NYm2wSHAnUuAe9cCUa6LqhUUGW2t6aLtoEGD8Pfff2Pbtm3q/dq1a/Hff//hnHPOUe93796Nw4cPq0gETe3atTFgwAAsXry4wtpNCAksFG0JqUGibXy8UVSgR48Ea06o2UXiKpNND1snvjltk5JslXiJ8z7SmbbuRFtHp60/yAV148a1AhKPoGGmLSGE1Fzs4xFc52+Gh4eo4d+6/8QRSsQXxOX6yCNz8M8/u32KRiiJ0zYiwhBtBX3zXCMF9pKTszB+YT/LFOfzVl8vCEVZ6SbRNhZFpnvn2x4bieOLW9jFIwwc2AzXXtsdffo0xp139ver3UVOoq1FrM6qHk72jIwMnDhxwvrIzXVdxPixxx7DFVdcgY4dOyIsLAy9evXCfffdh6uvvlp9LoKtkJBgO076vf6MEFL1oWhLSA0SbevXj1bPQ4a0UM9yXeHKSbt/v224FCsh+xuPYCv6Rpz3kdlpKzcRHOnZ09np4Q86IkGGEkqBs5KghdogBKFZbLNStYcQQkh1iUdwLdqac23l944jbogv3HPPLLz++iKMGvWdU1/SvdO2ZPEIriISjhzJVOLotmN18ei2h4HrZzp9/5RTmuH663siCMWoHWEIi29/vAnFymlrCKohedHIOxyLoqxwO6etjIiaPHk0Vqy41a5Yny9Ud6dt586dlSNWP1555RWX802dOhVTpkzBN998g1WrVmHSpEl444031DMhpOZA0ZaQao500nRn0FG0FRYs2Ov0nQMHKNr6kzVmhk5bz/vIVaateRieOMFLgzkiYevWo6Vy2opgGxbse8EPQggh1QvzyCNzXqenXFvzd0rD33/vwtdfr7O6Dkn1ISsrX8WQ6ZitVauSfHTaliwewZVoe+hQBk5vuR/dEo4iu3ZnoH47p++L8Pr55xdi3EM9ERJsnIfjXliJiTPSEdy4B5qG1kLQyVo+/Y1YSd0NfNAf+PI8t7MUWs750Goq2m7atAnp6enWx+OPP+5yvocfftjqtu3WrRuuvfZa3H///VaRt1Ejw+iQnJxs9z15rz8jhFR9KNoSUoOKkGnRdvDg5tZpK1bYdxQLC4vsChNQtPUMC5GV3GnrKNq6yrM1k12QjR+3/YgjWe4jOwJRjKxQimSIwyMopETfJ4QQUj1YvvyQ9XW/fk3dzmd2EgYi13bHjlSMGPEVrr32F3z88fJSL49ULubN22Mnoi5bdtDtvLt2HQ+I01ZybR1F2zfPmo+lN3+LUxtvdbsMqYPx4hN9jGUUhCCnIBQ3vhmCXS0mYNbVi1H4Xx80vHgDanc55tuN99wM4OhW4Jit6Ks7p62uwYGmfYBe1wLNB6A6EBsbi7i4OOsjIsK1iz8rKwvBwfZyTUhICIoshdoSExOVOCu5txqJW1i6dCkGDhxYxltBCCkvbP+SE0JqjGjbpEmsEs9ETNu92zbsSouOhYXFdsOyJPcqNJT3eHwpRJaURNHW0z7y5LT1lmf7zsp38M2Wb9AophHmjJlTZqKtdtruObEHhzMPq/URQgipWYjDdfnyg1YHYdOmsT45bQNxs3vtWlse5ccfr8Add/RzWYCTVE1mzjQKS/ki2mqnrcRzuKoF4ImIiBC3TtukA6kY2dA4V9vWOgjMfRnofR1Q20UsVN5JIDgUhWHipDXOw4kT12DEiNbIarQdDfvvQPafMb6dowWW0Veh7gXeK/s3x+C28WhRz7huQYdzjEcN44ILLsBLL72EFi1aoEuXLli9ejXeeust3Hjjjepz2d+Scfviiy+iXbt2SsR96qmn0KRJE4waNaqim08ICRAUbQmpgaKt/MhL0QwpMrZ3b7q6MNF3s815toIItnv2HEfbtv4NyaqpTtuUlEyK3CV02noTbVvEGbEe3ep3czuPvWhbsgvnOpG2asYpWSkUbQkhpAYijtn0dENg6t+/qUdBSmfaBioeQfJGNRs3pmDlyiT07duk1MslFY8Uqps5c7tPom1+fiH27Uu3umz9Fe49xSPkJ21GRGgh0nPC0TZqITB/F9BykGvRtmEn4KmjCMk8ibrvfoS0tBz8/PNmHD+eg5zsQkhvrlasj3FSBdleRdu2DWPVo6bz/vvvKxH2jjvuwJEjR5QYe9ttt+Hpp5+2zvPII48gMzMTt956K44fP44hQ4Zg1qxZiIwsXdwYIaTyQFWBkBoo2gqJiXWs1WTNOazmPFsNIxJ8z7SV4m4i3BJ3mbYRJY5HCA7y/pPVvHltREWFlirTtn3d9mhaq6ldUTJCCCE1Nxqhf3/PgmnLlrURFhZcJqKtdjWS6sGmTSnKMGFG3icnO4/Ukul69Ju/ebbeRNvI45vV85rDDRBkzYz1cO4GBSGiViyuvLIr2sen4q/7P8HNU/ug7um71cc+i7b5luJ+YX6IitK5zj0JpDsXT67OSIzCO++8g7179yI7Oxs7d+5UrtrwcJsBQoT8559/HocPH0ZOTg7++usvtG/fvkLbTQgJLBRtCanhoq2we7ctL2v/fvuOpEDRFm4dEI4ZYQIjEvx32kpkR0KC5wIWOmNWZ866QhzjOltQoj3kGJUEvS4dlVDdSM9Nx0/bfkJGHgvnEUKIK8zuR095tkJISLBVVJM82tIWD0tJsfXdhG++WY/cXHvRjVRNzC5bcz/IfJPAdREy//JsvYm29fJ2qOc1yQ0RVtsi2mbbR6a5YuzYnsjOD0V0rRxsjbBJCTGxPg7gLcjx6rRdtjsVP6zYj62HLX2U9P3AK02B93oZAi4hhNQgKNoSUoNE2wYNbKKtxCNoJP5A4xiPUBrHYk2LRtCwGJlvmbaSEahjJGToqTf+2feP8bzfePYWkSAxFSLclgTt6q2uou398+7Hs4ufxbj/xlV0UwghpFJiFtF8iSbQubYijrkatVQap60MR//tN/scVFL1RdsHHxzoMSLB3IcprWjrKPo3C92rntenNER47QbGxGw3TttNM4DvrgaWf45+/ZogoWUTFFmybTUxMWEBE22/X74fD/+4DvO2WgrPRtcH+t4EDL4P8HDjnhBCqiMUbQmpsU5bW+fPXIzMlWi7bVvph/rVJNHWHDdB3Dttpcrwe++djfPPb4+XXjrD63J2pxtD8LxR2mJkc/fNVUXIqrNou/ywUY183v55Fd0UQgipdEh01OrVSeq1ZPr7UgBKj/LQebiBFG2FiRPXlmqZpOJJS8vGwoX7rCL/1Vd38yLamp22/scjuC1EVlyMdrHG+g4VJSIoynJNkG0zcdhxZDOw5Tfg8Ho1HP+SK/vBUTqNruWj0zYkDKjdHIh1H4lVWGT0vUIs9TYQHg2c/xZwxhNACEvyEEJqFhRtCanmmIfYmUVb905bWzyCVKoVGI/g3UFat67NMUCnrW+ZtsLtt/fDr79eic6dLS6PAFBa0dYs1DLTlhBCah5SqFXHH/kyEsTstA1Ev0mLttHRYWjePE69/uOP7exfVHH+/HOnNaP2vPPaoUWL2mjYMMYq2kqRsrJy2ppF29zcfIz+7gLcP/t0ZEa1BqLreY5HyLFcG0TWVk/XXNsTJ/PtnbUxMT6KqV1GA/dvAC7+zO0sll1kE20JIaQGQ9GWkBrqtDWLtuZMWz2kTzqRXbo0sE7LzHTtKq3JmB2k5srRvKjyzWnrL7UjjIsFf0TbrVv9v3A2C7XV1WnbKq6Veh7QeEBFN4UQQip5nq33aATHfkBpi5HpG+7SF7vuuh7qtYh9U6asQ2VmzZrDeP/9pTh+3DIEnriNRjjvvPbKtapvCkgEhuQhm9m1yxBRpchds2aGeB8I0TbpcBbm722Od5b0QYPGdYGoep4LkTmIttKW3CCLWSE7BDueGY5zG12MQKGdtqEUbQkhhKItITVFtA0PD3Eami4Ps9NWMkB1ES1xdpiH+jl2JIm9GCnDJzUsRGbPyZP5LjNt/eWUJqeo52s7X+uz26k0Ttv4yHj0atgL1ZHeCb3V84BGFG0JIcSR5cttoq2vTltzn2nz5pLXApC+2LFjzqKtjkhwdGNWpkiJs8/+GvfcMwvDhk2yG2VDRHQvwh9/GMW/pD9+2mkt1ev+/Zu4vFkgx1mLthJpJsXuSpdpa7shfehQhl0hWLQfCdz4J3DOa64XlHPcTrQVgqON4rGh6eHI2VsX7Zu2MIqEJW8C9i5GaSiwWG1DgilVEEII/yUkpIaItuKylTv6ZhITDbftvn3p6iJBOnG64nHz5rXtLkAYkeCM+YKkbVvbsDU6bd3vp9I4bYt0xlmQLaPNFTEx4WrIoRZt/b3A1U7btnXbIjrM5k6vToxpNwavnvoqhjUfVtFNIYSQSseyZUYRspCQIPTs6T5700zTprHWqKS1aw+XeN0i2OqfLRFtpS82aFBza2yDPCoj0odMTs60Om4vv/xH1bckBitWHLL2yc88s7UyUzjeFDCLtrIvMzPzSxyNIEREuHbahm38Dld124wG0VnqvFX5si0GAHUNIdmb01ao1bQjYvOKUZxlxCQkJNQC1v8AfDwQmP24+0Yt/RT4bBiw5BO3sxRarkVKoFMTQki1g/8UElKNEbHKLNo6oouRyZC7gwdP2OXZOjptKdp6dtrK/tUXa3Taut9Pjpm2JRFTg4OCfY5IkCGargq6+OK09SYOV2USYhLQPLY5IkJKfjwIIaS6/mZt2pSiXnfrlqByZX1BboxrgVf6Af7+9riqRdCwodF3O+ecttZp2n1Z2XDcXnGV3n3375XWGVzezJtnFDgVzj23nfV1v35NnW4WOBYha926ZKKtu3iE9kkTMOXiP9C5wTHDaesNq2hri1YbdMX3GLr7XWz/rhd6334Im7NXAa2Hyl8CcGg1kH7A9bLS9gKHVgEZRqE/VxRYRVtKFYQQwn8JCanmFx4yXE1o0MBZtG3VqrZdrq3Os9V5VfaiLeMRPBUiEzGyUaNaVqctL1Kc95M4lsyVjP1l0aFF6vmLDV94nbdjx/gSRyRocVjWtyPNGMpY3Zi2Yxqu/v1qfL7h84puCiGEVCpWrUqyjjoyD133hR49EqyvS+q2NYufDRoYRari46Os0yprXmxysvMN65UzfsPPr75dIe2pbGgXstCpky17v169KGus0+rVSdZ+e6mKkB3bCaz9DpERwc6ibfZx1C5KVi/XJjcwRNv8bMP5OvcVI+LAkbyTTk5b4cUXz8AD7zVD3oBFmL97FrBsglhGjA+3/uG6bQXZxnOorYCvI3ed0RYfXNULAxJtcVeEEFJToWhLSA0sQubotBV2707D/v0n7Jy25pxWOm29F9hq3NhwK2Rl5dt9VtPR+0KEbceIDn+4p9c96rl93fZ+FYTx15XUMKqh9fWO9Oop2m48ulE978vYV9FNIYSQSptna3ZB+oI5SkEiAkor2ko8gqBrEFRm0dbc7uHDE9Xzslu+xSW5z2HpH/+ippOaahErlQhv3yfXEQmSO7t+fbKT07ZNGz/Fy7+fB365DS0y51sn5eZaRNtk4/d/7/FYHM+JtDltZz0KzH8VyLVdC1i5exUw7hDQxD7nPzg4CI0SjO8XZR0F/h1v+3Dzr67bVmCJzApzL9r2a1UP53dvgub1qmdEFSGE+ANFW0KqMeYhdq5E21atbMOcpBiZfTxCbTUkUMRbgaKt96xW7bQVGJHgvJ9Kk2crhIeE+xxbYD63xUXuD4OaDkL/Rv3tcnSrG//s/0c9Lz+8vKKbQgghFYqMMvrii9VYsuSActiah6j7WoTMtWhriG/+kpJS9UXbO+/shxeeGWh9v+DXBajpHDuWbeeuNeMq17ZUTltLfyk2/6Cz0/boNvW0McW4ua1E27AoINTSpmwXN7rlhnt4DBBii1tY8fc4XD+hCz5Za2TTFunvNexsPO/5z/WyxNUr6PURQgjxCEVbQmq009Ze2HJ02go6IkEcAublEcesVnHa2kRbFiNz5bQtnWirxVqdOesJx3PbX3Ruro5KIIQQUv2QKKPzzvsGN900AwMHfo7mzd/GrFnGCIuoqFB07tzAr+V16tQAYWHBAYxHiK6Soq2IzQ/e0dH6fu2qgzU+NsrstNU1EFyJtrNm7UR+fqGdaOt3pm19Y0RSbO5eF6LtdvW05Wg9xMSEIS7Okm0fbXHzZvkWh5aal4GV4TYpoSjb0tdqP9IQbqX/tO1P907bUPeZ+gu2p2DmuiQcOVE5z3VCCClPKNoSUoNF25Yt7Z22OtNWbqjr4VIsRuZbpq2z0zajglpVuZCLNC3altZpKzmswta0rV7ndXSRl1QgLtbZbIQQQqody5cfwrp1NkfsoUMZOHHCEJX69GmC0FD/LpXCw0OsQq/kqWdn55dBPIJtlE9l4sgRcwG1GEQV2UZvzVwbh82b/cuXr66irdzADgsLcXJoa7F/xoyt6NLlI2zceES9l/54VJRvxfCsomg9I54iOmu3W6etiLaybGtsVZRFGHZ0x2YkA99dDfx6n93kIod4g+LcdJtg3PE84/V2V6KtRbwWd68b3pi9FXd+swrrD9rOIUIIqalQtCWkBou2IqJpF4fZaSvio+5QUrT11WkbQaetCyTfV5trZB+VhrUpa32eNybGfG77l2n7/ZbvsfDQQvW6sIhOW0IIqa788IOR76mLiJmLZY4YYQhf/qIjEgoLi7FxY0qpxU+hdu2q57RFltFn3HAkHmk5Ufjzz52oyWjR1jHPVoiMDMXDDw+yvt++PdVqDPA7GmHNFOCnm9TLiIxd1sJgOTlGf6YoxV60teJOtM08Amz5Ddgy025ykUO8QWHOCZto2/Nq4OqfgFEfObdPYhZkXfLshgJLIcCQ4JLXQSCEkOoCRVtCarBoay5GdvDgCWvlX8mz1VC0LZnTlqKt631UnuhzW5xT1gIcPpBbaHMx+RLFQAghpGqOBPnhh03qtThq//lnLFJSHsYPP1yKCRMuwKOPDinRcs25tiWJSDBn2uq+m9lpm55euUVbcRurIfdxTZHS4X+YtNbIOK3Joq2ca1q0dcyz1bz00nAsWXITTjutpd10c1Fgn7DEHwgh+RlIiDGuBXQ/aO/Qr3D216Ox+nBD30TbHIvbNdJ2beDSaZtvueao385w+rYb4ToC4fKvgUf3AJ0ucLsJhRbRNjSYUgUhhPBfQkJqiGirXYfuhpGLG1I7InWeraNou379EUyduhFnn/01WrZ8Bz//vBk1GcdMWxYi876PSkOEh/wzT7m2cl7v2+f7EDuzUFtdM23jwo2/8aHNh1Z0UwghpMKiEfbuNX4bhg9PVGKajAgZM6Yzbr65t3I/lgRx7GrWrDlcYvGzdu0IRESEWvN19fD5yu60FZetGnJfvx3qD7sWQZFxGNF6L+bN2+PXDdTqdgO7oKDIo2grDBjQDPPmjcWvv16J3r0bIyEhBrfe2se/lVniDzQd66faxSPsTa+N2TsTcTIv3LVo65hp6060tfTJ2hYCk/qOwy3HTwC1GjnNVxK0aEunLSGEACXrjRBCqgQpKb44bW3Zn5pmzeLsRF1xoEhn87fftqmH5u23l+DiizuhpguSwcFB6uKucWNb55dOW4OMjNyAOW3b1WmH3em78Xj/x32a37EYWbt2thsQntBCbds6bTG8xXBURzrW64hlh5fh3MRzK7ophBBS4dEIl15qqXgfAHr0sDlt16yx5eWWRPzUiAgqblvp11VG0baoqNjqELZr985/MP7UmfgqrhP+2tUSCxfuxxlnlCx2oroUIfMk2upjff757dVDHLrWzFlfscQfiHhanJ+DRrUy7URbGX2ksRNtB95lxBrUbeWjaGs4bRsVFKJ3p8uAxgOATFNuscQl/Ps6sG8JcOMsINg+x9cTVqdtCEVbQgih05aQGuK0dZWh5ViwSWN22opg6y5Py7z8mixIioNUOtVSDViGBVZ1p61ULX7uuXl4990lpa72HEinrXbA6iJh3jCf2/7k2ur1dG/QHfFRvgm9VY2xXcbimYHPoGt814puCiGEVGg0QkhIEEaN6hiwZYso16JFbWs8ggiavpKXV4j09Fwn8dMckVAZRdu0tGyV4WvX7uP7rIJffHR2jY5IsBdt7WMFPOG3YJuXBaTvM17fMhf5Dx/A9xs72kTbTdPRavfH6NckSU1r2tQk2jZoD7QYAMTanOKeRNvgiFqIKgYiImINQbZea6B5f9sMUmhs1STgwDLg8Drb9G+vBCaeD6RK3q7nTNtgf7efEEKqIaUSbV999VX1Y3LfffbVJM1MnDhRzWN+REb6/mNFCCk5WlQVh6O7YX6unLbmTFvhoos6qGcp0HHVVd2UOFmZc9XKCy1Iagep/PumIxKqstN24sQ1ePbZ+bjvvtlYsMDS+feRJUsO4Pzzv8HFF3+PY8eyApppqx2wwT5mnOlMW2HPnuP+ryeo+t7X7NWwF3o06AHweogQUgNZscIcjdDa7Y3tkqIjEuQ30J/fH3OebYMGrkVbEXX9EYIrpAiZMOcZYMEb6mW9KKO/OHs2RdtAn2t2HNthPEfVA+LbICwiDFr3zM0tVKLtoPwpOK3lQWenrTu0aBtlf71wYdexWHb9etxx4VeYsnkK/j3wr/33QsKA+HbG6/QDtun7FgN7FgCF+T5k2rKTQgghJb4iXb58OT799FN0797d67xxcXFISkqyPvbu3VvS1RJCSiDauotG8MVpK7z66gisWnUrDh9+CFOmXGzt5Gk3SE1FC5JmMVKLtnLhpfPLqhpz5+6xvt648YjPFyS33fYrBg36HDNnbscvv2zB3Xf/4eC09S+T1hGJRhCeX/x8ieIR/HXa/rjtR6xPWY/qyIIDC3DxjIvx3KLnKrophBBS7miXbaCjEVwVI/Mn19Ze/Ix2KdqKYGv+ba0MuGx3lq14bZM6BdZ9oYve1iTkJrav8QilQufZ1m9vNRPoXGTltLV8vuWoUdysdWvTSLr0g8CSj4EVX9ovU2IOBDdZtWuOrMGry17FL4tfA0469BnjGhvPJwxnr6LAcu3goU7Bk+d1wvgx3dG8XhkK3IQQUp1F25MnT+Lqq6/GhAkTULeu62HTZgz3WSPrIyHBYdgFISTgFBYWWe/sexJtW7b0nGmr/4Z79WpsvWCoXdt4zsrKV0Ppa+rQSn3RZBYjGzc2RFtJFTBfxFQlli41HBiO2WfumDJlHTp0+ACffbbKWsxO+PbbDfj++40Bc9q+OORF9RwV6tsFjwxP1Q4Tf0TbxjGNbTcok5ejOrL+qCFGH8uxXVQTQkhNoCyjEVyJthKRUJJaBI7xCLrvVRkjElw6bU0FrerH2Nr711/uh8VXV/zJtC0VtRoCXUYDbc4ACvKAH2/E0hsmITosH7k5ecBRw4m75WhdxMdH2Tttj+8FZj0GLHrPfpkjXwLGHQJOfcjlKoMsN7oLU7bYBFlNrKU/lXHIeJZOYr5lX3joy53TrTEu69sc9WJK128khJAaK9reeeedOO+88zBixAifRd6WLVuiefPmuOiii7Bxo+0inhBSNkiHXg+f8yTaSmyCudMmRbXMBbVcIRWNNebh7zWJ7OwC6/515bStqhEJ4hDetcuW/3rwYIbHGwP33z8L11zzi9XVLbm1V1/dzTrPzz9vDlimbWy4cV6GBvtWQ1PcJfrc9md46uh2ozGq7Sg712114+vNX6vnHcctQykJIaSGsHJlkvU3YdiwRI99pNLGI/hbjMwsfjrHI9j6XpUtnsq1aGu7KRgVlIngIOP39M8/KdqWGYmnAZdOBIY+CoSGA7vmoXvDZLSPT0O9kFSgIBu5BSHYc7w2undPsM/MlUgFIduhBoDMEx4DRNj6t8LcfXNx+6T++PK/Z9X7Ysm1jWvqRrS13LhQkQjFXp22hBBCSiHafvfdd1i1ahVeeeUVn+bv0KEDvvjiC0yfPh1ff/01ioqKMGjQIBw4YMq2cSA3NxcnTpywPjIyvDu9CCHui4R5uyAxRySIyCXFxzxhdntUtguH8sJdgS2zaJuUVPX+7Vq+3OKG8OK0PXEiFxde+B3eeWep3RDTzZvvxFdfjcaZZ7Z2+k5pnba6AJk/QqrOtZULyszMvDJdFyGEkMrPjz+WbTSC/u3RfQMdjyA5ujfdNF0V+fRL/LSgRztVCaetOCpNom0QitG0nhZtd5a6yGnVzrQtQ9HWEUtMQsf6qWgZY5yH21ProLA42O7GgiLKMno2+zhQ5H0U3cGTB/EfsrE/LEy9LxJh17HmQFwT4/mEpW9ZkG1fqMwNc7cewdwtR5CVZ8RqEEJITcYv0Xb//v249957MWXKFJ+LiQ0cOBDXXXcdevbsidNPPx0///wzGjRooPJw3SGCcO3ata2Pzp3LpkNFSHXGPMSuQYNon7M/HfNsvTlta2qubUZGrksx0rz/zI7VqsLSpQe8irZ79x7H4MFf4Pfft6v3IvJ/+un5mDr1UjRtGqecG598cj6iouwdsaXNtP1m8zfqOTPf99gJ8w0Jf9y2ugiZLkpGCCGkeiDiqWOh1UAjo5Z69DAiEvbtS8eFF36Lfv0m4Isv1qgin/Pn27Ljq5tom5BQC8jLBAot/aTRnwFjf0XvgW2to5A2bPAtL7+6cOxYOThti4qAtL3Gs6Z+O6to26rWEbs8W31+Oom24oTVxceEWeOAaXcCKdvsV+dwU7tQRFtHYi3r0JEI+fq8DQJC3N/Iv2vKKtwwcTlSTH1tQgipqfgl2q5cuRJHjhxB7969ERoaqh7z58/He++9p14XFnq/uA0LC0OvXr2wY4f7IZmPP/440tPTrY9Nm2x3xAkhZeu0dcyz9S7alt2Fg7g5X331v0qZf+bOadu5cwPr66p4UWLOs3UXj3D99dOt21a3biRmz74Gt97ax24eKW7xwgvDAuq0nX9gvt/fMd+Q8FW0/WD1B/hh2w/qNZ22hBBSvdDRRXJj0VEYDSQ9e9qcjL/+ai94ffjhcrcRRe5uuFdu0dYhi1e7bEMjge6XqWH7pw41BERh2TL7vkZ1p1ziEdL3Ae92B8Yn2oTb+sZNiU71U5EYe9RBtHVw2kqcQngt54iEzb8Ca74Gci0FySwU65gD/T7MxbVGy8HAk0eAm+cY74vygYjaQGScEbvghkKLEzsk2P08hBBSU/AtGNDC8OHDsX69fSXtG264AR07dsSjjz6KkBBjOKknRNiVZZx77rlu54mIiFAPjUQkEELKTrT112kbF1c+Tttnn52Ht99egoiIEOzff79TvltFYs7yNYuRXbo0tL7euDEFVQkZruh4ISUXGlJxWLKPhYKCIixYsNcaBfHvv9ejXbt4l8u7995TVDEyyQ/U85e2ff5iPrd9LUZ2Mt+WRVzowxBBQgghVU+0ld8ku0zPMixGpteXm1uAtLQc/PLLFjWSxa4QlCvxs8qItg5iszgqT33QyDC17ON+/Wx5p0ZURG/URNG2bt0yEm2PbrdFEuiYAlM8Qu9Pr8GvR0dg9YYTqgBfp042k4Fdrm3eSZtoK30gLcBH2hcu1iORQouLURAUhEJXcQchRnSCldrNgMf3ed2UQkvNiFDHuAVCCKmB+PUvYWxsLLp27Wr3iImJQXx8vHotSBSCOGU1zz//PP7880/s2rVLZeFec8012Lt3L26++ebAbw0hpESi7eDBLaw3vIcMaeF12eWVaTt9+lb1nJtbiFWrDOGvcjptI+wEbS18ixu1KuW27diRqi4mHTFHJBw4cAKFhcY2DRrU3K1gq2MTfvjhUlxySSe88spwn1zcnijJxbXZRb57t29xFWah1pXT9u+/d+Gii75TuXxVnbNbnV3RTSCEkHIjP7/QOlRdDeMvQy65pLMafSPC7PjxI7Bz5z24885+1hugEyasdCt+ys9dfHxVctpmWkdiSRFQ1GoIDH8aOOsFYM9CYPnn6NM8zdrXXLGicvXpyku0lZv84eHeTU4l4ug2u0gE82spRCY9t9+XAgczYtGxY33rzXg7oix9Ji3aHtkMSCSVOHDrtrKbVfePBmTn4OPDR3B/15sCtikFFtGWTltCCClBITJv7Nu3D0lJth/itLQ03HLLLejUqZNy14prdtGiRcypJaQSibbSeVuw4AbMmHEFLrqoY6XItJU8WHMm7KZNKZVWtHUc9q/dtrJv3BXyKm8KC4tUXq2nCz2zy9ZcjM68DeaIgVatavtUjOXHHy/DY48NQWmpLUPqZFjp8A/9LkTmj9NWX4j0b9QfY9qPcfr8zjt/x4wZW3HHHTNRVWkSYxQHua7zdRXdFEIIqRBHaGlHf3hDRNYNG27HwYMP4OGHByM6OkxFCUnerfDppyuViOwqHkGG0DsWhTXfMK+soq3LuInlE4CZDyAmebHqbwpr1x5WruOagr5RUKZFyKyireGuVdRpgcyCSOxKq434qBwUWcRQpzxbzXlvATf+CTTvb7zft9h4btYPCLEXebUpoVFhIYY0HYIubc5xvcy/ngMmXQgccL5J4Qppo/Y7ULQlhBA/4xFcMW/ePI/v3377bfUghJQv+/fbYkUSErzHCojb1lfMFw6SO1sWOObYVjbR1l0hMqFr1waYNWuH1W0rxbkqmnHj/sb48YvUcM3ly29xuhh0zLMdNqwV5swxjsHBgydcirYtW9oPlStrtJgaEuS7S0XcvTIMUNzBvmba6iF/Ito2i21m91leXiG2bTOGCu7cmaYuOpWrqIpxe8/bcTLvJBrXalzRTSGEkHKPRhAaNSr7yCXHESLNm9dWxc8kHiEp6aQaUTRmTGefxE+z07YyFYGV30UtIlvbnZFsODRjGhpD7oXsNPTp0wmbNx9Ffn6R6h/16WPcQKzOiLipnbZ+5dmm7gbSdgNtzvAvHsEs2gaH4Jr1b2PHkkV486z5WHKwMT5a3hPdu9uivOxobjjBrexbYjy3GOg0q860DZLYBPncMQpBc3AFsPtf4NgOI7ZBRFxxAJ/7usc8W4GiLSGElIHTlhBSOdi40SgUFRYWrIpCBZLyKESmBUPNpk1GAYVAOpFleLujy6W0hcgqY66tXFB98onhcFiz5jB+/dWInfAk2o4a1dGl03bvXrPTtnxFWy2mBgf5/tMl4rRcJJfEaetqPSL8mhMvzDdHqhLnJp6Loc2HIldX9yaEkBpAcrLNaVvW8QjuuOOOfi4LkmVl5SMzM98n0bYyOW3NxdOs7V72GfBeL+Dv54Boi2iblYq+fRvb5drWBKS/KHEYfou2P1wPfDUaWGcURi1RPAKA8Mhw9Gl8BNf22IzRHXd4dto6okXbls6i7a3db8X6setxyxUz8VOjRPyz7x/Xy4i1CPMZh4CTR4Bdc4EDrgvxmfNshVCKtoQQQtGWkOqICJHaDdihQ32EhQU2P8s+0za3TIby//PPbienbaDyYWXo1emnT8TIkV/j0Uf/CmghMqFrV5toK04STzz44Gz07PlJmVZSnj9/j50j+qOPVjjNI45REXSFDh3iVQ6f63iE9AoTbbPyjciPW+fcipyCHL+LkclFri8XulocnrptKpYftr+wMEd2CL66dysbW1K34Jyfz8FNswOXQUcIIVXLaVsxou3w4Ynqd1aYN2+P9Sa7S/GzCoi25sgJa7t18aroeCDKYhzIFtG2SY0Tbc1FyHwWbaW/m7TGeD17nPf5s1KBTItJIN5etJXsWilEJmw5ahyLHj0SXC8naR2w+CNg6ywgJx0IjwaCw4CmfdyuemvqVjy7+Fl8vv5z1zPEWYT6jMNAvmVfhLrfD+KufXFUVzx3YReEuxgVRgghNQ3+S0hINWT79lQ19Ewwi2+BQoptlaVou3r1YbtOrr5AMV9slYadO1OtcQtz5+4JaCEyoVMnI7PNm9N28+YUvPXWEqxdm4xrr/3F6sQINNOmbXGKntCivkbaII5coX//pnYVrQ8edJ1p27Kl90zbQDLhrAlOwqo/oq2vImuTWsZF5eHMw5i9Z3a1FG3XH11vJ4QTQkhNoDKIthKZYHbbfvzxCifxs0ED51oEMTFhKu6n6om2tngEiWjSmb4rVybVqDxbvzJtdSEwYeyvvom8Qx4Ael0DRNif151jd+GxIcYN6C1H66lzy+25v2cBMPtxYP0PQGRt4K7lwMM7gHD3USIhwSFuC7faOW1PHAL0DfdQ+36zmbCQYFxzSkuMHdRKvSaEkJoO/yUkpBqiXRtCly6BF23LOh5hzpydLl0Jgcq11Y5Sx7zWQGXaxsSEWyMp5Fjowg+e4ghERJ00yeKqCCDiTpbMPEc++cTebStFyjQDBtiLtq4KkdWtG2nnuC4PGkU3KqFoay5GZi+6uuLOnnfijp53uLwIqS6i7avLXlXPabne9wchhFQ6CvKADT8DmfY3IL2RnHzSe96/ZIlu/QNlyXXX9VCFyYRJk9aqvpRL8dNB7NVu28ov2qY6O22zUlX/SJsJ1q8/gpyc6l+MrERO2/T9xrNkAjf0XiAYMfHAiGeAi5wLtQaF2fpqItp2757glLVsxSqwp5qmuR5V9duu3/DAvAfw605DVC6CO9HW0nfLSLKJtmFlWJCNEEKqGRRtCamGmMXNshBty9pp+9dftmiEW2/tXaaibUpKVokqGJ88aeTOucq0Ne93yafbt88WKWBm+XL7SIRnn50f8AsYcbJop+ygQc0REWE4Ir78co3Kz9MsW2YbpihOWxGi9XHW3xcn8P796RUSjeCYMVtU5Lsr2dxWX3NtdbGz6iraEkJIlWbx+8CPNwDfXenX1w4ftgmMbt2GH/QDvr0C2F6y+CRfEPH12mu7W0fufPHFatUf8STaCvpmaZVy2upMW4t7VEckSJ9i3bpkVHdKJtpabqTXNhVDLSpZDYb0sObW19uO1XUfjSBYoyzSvK5vW9o2zNk7BzuO7/DstI3TTtskIF87bd3f9M8tKMTCHUexdJd/N2QIIaS6QtGWkGqIeUi+uShWoJCMXO0QCbTTVoTE//7bZxXbLrigQxmItvYXCWYnaSCctr7m2i5fbp/nduDACScHbCCjEa6/vgeuuKKr9YLvu+82ODltRdTVBSqaNo217h9x7MpzYaHhGm7ZsvxF2wnryycewSwQO66Hoi0hhFQCCi03OPcvLXE8gttCZEWWG5rb/0RZcs89A6yv33tvGZKSbH2RBg1ci7Zmp22gcv7LXLSVwliXTgJGf6om9elTs4qRlU60bQoc3QFMvQ745Tb388s86QddCq0hkbVww/SzcM8fQ7H/RJznImRaYE/dBbzaEph0IVDg2pyhz78wybz1GI9gOd7SnyrI9irapmbm4er/W4prP1/mvp2EEFKDoGhLSDUWbcPDQ9C2raUDVkYRCeYCV4FABFudrXrmma3tMnk3bToacKetFktLk2nrSrQ1O5zNcRUa2UbJkXXsxL/00gI7QThQoq2MhBMB3DFHT5wuX3+9TuUgC716NVbnjaAjEkRIF0e1WaBs1ap882yFH7bZKii7vTjwGo/gXWR9fvHzeHfVu07rkQsUiraEEFIJ6DbGVtDIj5EXOh5BRsjom892mJeVZxMjywLp34wc2cb6WzJx4lqvTlst2soNVPNomYrkyBEHh7CIeY6FyLqMAloOVJNqWjGyY8ey/Bdt248ExnwB9LvFEDo3TQc2/GSIqa6Yfgfwdmdgy29OH0khsolruuL9ZcbINYlH8Oq0lSJkeRnAiYNu82f1TW13I5PsnLZPpgAPbjFEZbkpbopscKTAYg6QgmSEEEIo2hJS7RAxUBeZkurEoWVUeVUP0Qt0PII5z3bEiNbqAkWLh4Fw2kp1ZkdnrbnQlq9kZOT54bR1brcMCdTi9HnntbM6YI8ezcLbby9BINixI9Uq4J9ySjM1FLRfvybo3bux9WIpMfFdVQRNM3CgbSieY66tvWhb/k5b8wWBP05b2W4dC+FLpm1KdorL9cixMR93vV/0cSSEEFJO1GlpVLUXQeuELZPdV6et22gEcwGoxkZ8QVly332nWF8f3X8A57UTUa7Yq2hbmSISnJy2hfnAkPuAPjfYnJsmZHi+LqgWMNFWBPYtM20O7ErqtI2Pdy4w55K6rYCulwCtTwcadQPanglIH2jR+77HKVjQ/R9BrgnMxXLdiraaFrbz053TNjQ41LNoK66BUEs/+bSHgKdTgXPfcLvcQksdiFCKtoQQoqBoS0g1Y/v2Y8o9KZhdqmXltBVXqLtCW6XJs5U+3hlnJNpth4hmIrqWBu1uDZTTVjrDEhfhSIcO9a0Vkl05bZcts+XZipD6/PNDrRcxb7yxSG1raZk+3RaNMGpUR1PV6r4ut33w4OZ44AHDCWOOR6iMoq0/yHHQcQ6yDd6GlJrXY87OdXTZCrIonfNbFbmg9QUV3QRCCPEP+Yd3xxxbjMHRbT59TTLj9Y1mt6JtlmVET2QdYICH4egB4qyz2qBjR0NEm3HFdPx21TTc3Hs9GjRwLe7VqRNRaUVb+a1VTlIR6IY/DVzwjs2lKYLq8s+BzKOIigqz3tiWG8sBcQzPfgL47ipg9jhUNlJTc/x32joy5H7jec03hihuRt5LkS+hti2/1uy01YhgGxFhe+88s0PfroWtT+iur9Subju8PfRtPNb/MV+2xOjgBzv3mzUFlmsK3YcmhJCaDkVbQqp1nm3Ziba6SJVcOwVqOL90/HV0gQzTr1/fuGjp3NnmCiit29YxGkE4eLDkom1srOthY9JJ1tEUmzcfRWFhkds82379mqJdu3jcdFMv9V7cnD/8sBGlZdq0rdbXF11kywa+8spudi4euWicN28sFiy4Ac2axbl02so+qmjRVrtep180HY1iPGSyeci1lcJwycmZPq3nrJZn4cZuN7oUbc0XQVUtIsEsSj/c7+EKbQshhPjNySNGoTDN0e1+RSN4zLOt1wa4bwNww+8oD0SYuvdeI9t2cAujX3Brn/WoWzeqyjltRWh2K7SJmDrzAeDYTruIBLnp76pf5jcrvzSelxm5uVU+03bVZGDL70Belk08lRzYghwgfb/9vCLYyu96SAQQ7eyiNfdXPObZCiGhwOVTfBJtdV8pPioeI1qOwMAm7ufFko+BSRcAG372vH46bQkhxAmKtoRUM8yiZlkUIXOMRwhkRMLff9uyuiTPVmOfa2sv2vpbiMO1aFvyQmSuohE02kki7h5Hl+by5QetQ9V69jQ60ddf39NjO/29iFq0yOjYi4tHnL8ayfH755/rMH78CKxYcQtmz74Gp5/eSrlwzTRtGufWaVsRhci061UXCfMHiQrRbN161Kf1DG0+FB3rGQ5lwXwMxZVcVUVb4b7e9+GeXvcgSvIgCSGkKpFmjMix4qPT1lyErFGjGPeiVZ3mQEIXowCTi8JOgebaa7ujbt1IXP3zOep9UEioW/Gzsom20gfToq31ZnD2cSN7Ncd0QzzKEpOQneqUa7tyZYBzbR2dqFVNtC3IA2bcA3x3pS1XOTjYiEwQ0va4L1om83k4Z3r29JBnq5EcYiGmIVDP1hd3RPe/feqTyY2V3f8C0+8Evrsa2DrLq2jLTFtCCDGgaEtINaO8nLY6HkFITw/MhcMff+ywc396Em3FuTp69PeoXftV/PabbxdsZjHUnPVbmngEKWbiDvP+37DhiN13xX0rdOvW0OqCMOfgrlvnHKngD7JPdGyF2WVra1tDPPzwYPTpY7twcsTeaZuBvXvTrcfefBFQXjgWvfAHPfxU2LLlqE9OVMcLEbNoq6M7qqJoK9t1Q9cbMLrdaGRIoRFCCKlKaNEqIg644F2gr21EhO+irRunrebT04EXE4DkDShrYmLCceutfbDmsNFn6FQvxW1xNfMN88og2kp/Rm5M24m2UgzrvV7Ajzc4Z6VaMoPti5FZhvaXFNlXkm+sSVqHyliITG7y60KvHpHiXyg2nLMxJuesV9HWOc9WOPvstsoIcdppLXHjjcaILo/sW2zLs3W4mW9G4hCWXb0Ml7a/FH/s/gN/7/vb/TLjjFoKyM8yzo/j+9zOSqctIYTYQ9GWkGqGzk+VjmGbNs4FIMpGtC2901YExlmzdlg7tkOGtHAj2hqC29SpGzFt2hYVJTBhwiqf1pGdnW8V7ERQ1Zlx/jptJTM4O7vAZ6eto5i+alWSVVCVPFuNRC3oYfzr1yeXKit47lxbp/6CC9qXaBlm0Xb//hPYty+9wqIRzGLqDbNvwP4Mh+GBfoi2W7daqlp7EYd/3fUrFh1aZJ2+a5dNnB02rJVJtK16mbbHc49j2NRhOOOHM/x2qxNCSIWSanHadhkF9LneKNTkA+ZoHLfxCJt/Bf58CkhaYwhnel1lzF23dcXO4/WRnR+CmLA8ZzdxJXXaOhUhE7KO2Ts2zaJtVqr1hnVYmHEZ+t9/+6w3wkuEZBuf9aKxjqumAg1tI2Qqk9PW52gEswhrFk0lqqD9OUAth4gDHZfgIs9W3xT4889rMX/+9W5jN+zIzzaOnYciZEJYSJgarZOcmYxH/n0Eryx9xf3MsY0dvuz+xn9C7Qg8cW4n3DGsrfe2EkJIDYCiLSHVCKliv317qnU4uNlNGmjMbo8TJ0ov2oqQmZJiuBGGD0+0cyNItV19MSBOWxFNn312vkv3jCdEOC0sNAQqiSTQw/9l6L8/Amlmpu3iwl2mrSenrY5G0Hm2Zrp3T7Bmr5bGwamjEaRQmuM6fKVx41p2bdYF7ipKtP3+gu/Vc3JWMrLErVFGTludl7vw4EJ8velr6/SdO42/rfj4KOtxqopO24KiAmxJ3eIkUhNCSJVAOw3r2kY8BMxpu/MfYNF7zusqY5rNGIkjz/6I4BBL3+fwOq+ibaCiqcpFtI2uZ+e0lWJYOl9VRrF06fIRfv/dt2xiJ6TY2Sn/Ax7dA7QfCYS7ib6oAOSmaKlEWzND7gOu+g7oeK799Gb9gcH3Au3ODEib1T7segnQ61qfZtejkjzeAHYUbSWf1w0NYyNxy2mtcc0pLX1sMCGEVG88lI8khFQ1tm07ZhXWyjLPtiziEcyd9XPPbef0ubht5eJALro+/HCZ2lZXFw2eMOfEimh77Fi2mib7TJbhdbikBXH3ajw5baW4mDhJ8vOL7Jy25iJk/fvbC6riPpk+3Sggtm5dMlq3trhT/ECKreih/CLY+jQczwVhYSHqIkz2TVKS7WK3okTb1rVbo2F0QxzJOuK30CjHVornyQ0Gb6LtK6e+ogpqPPHfE1Z3b25ugTVGQ46JOFfEqS03GqqaaJuZn4nb5tzmsjAZIYRUerQLVYaLH1wFHF4PtD7dNny8NKJtpuW3WlybIjCWh2h7IkmtJ07Er26jgO1zrOJm1Xba1nMRj2Dc/BRefXU4zj//WxWvICN5zjvvG1x8cSd07BivnLdy8zohIQbjxp2qfnMrK9KHDAkJcqoLIMg2SB+wZKKta+esE4mnGo9A0ayv8fDC1K1TsTZlreqbCUXw0JeIa+KzaEsIIcQeOm0JqbZFyMouz7YsCpGZ82zPOcd5SFTnzjan5OOP2+dmlVS0bdo0tkS5tuZhfJ5EWxFL27c3nCYiFOrvadE2KirULvpBMDs4JSKhJCxebOnwAxg0yHXGma+Y91FFi7bmPFt/hUa5mNJuWxFZJSrDF+eIFoclz1ebSLSQrouxiVNbXO5VBUfBm05bQkjVdNq2Av56Fvj1HmDPQj/jEdy4MTOP2tyLal3lEI+gM0QTugIXvg88ts9tTq/Poq3sI3ENV4hom+oiHsHeaSsMH94aGzbcrkZXaX7+eTNefvk/vPfeMnz++Wr1+qWXFnhuRPJG4OBKo/DZjr+AOc8AaXtRHrz//lKEhb2AsWOnuXSa6jxbl6KtzL/9LyDzmJu4Axf9N/mOzF8JYo1WH1mNGTtnYM+JPd77ZbGNfBZt07PzsWpfGrYlM3OfEEIEiraEVMM82/IQbcW1GCin7dGjWVi69IA1B7Z589pO85jFTZ0nq8nKyvcpD80s2vbokWAnSB486Ltom5FhE6k9FSITdKEvcWJcccWPdi7Y3r0bO0VYdOuWUOpiZDoaQRg0yEenhg+5thUp2srFwAerP0BSZlKJhUYt2qrrJEuMiK/isLkImRZt9X6QaI2SFLOrKBwvrOi0JYRUGeQf8JEvA2c8BcS3AepbMtuPei9IanbaWgVGd07bZv2M5/Jw2u5bYsssjagFBLu/PPNZtH2vN/DVaGD/MlSKeAQZun/ZZGDIA3bfl9oLc+Zci0mTRrl1on7zzXrPQ+8XvAlMOANYORH4901g4TvA7n9R1sjN2qefnqdef/XVOpXN64iORtDRSnYs/gCYcgkw8wHf4hEK8oBXWwKvt7YJ47Jf5BjLd9wUrysrdD8sNDjUe18isg4QFuNTpu26A8dx8UeLcO93kitNCCGEoi0h1QjzEPzyjUcondP2zz93Wk0Drly2gqMjVWjTpq7PblsR1tauNZyrLVvWVsUYmjUzMm39LUbmq9NWeOyxwdZ9NXPmdjUUUGMuQqZp27YeIiNDrfEIpRVtBw5sHnCnrey/8qawqBCfrvu0VEKj5DxrPEUkPDDvAVVUw3xR4lq0te2HqhSRIPvS7j2dtoSQqoIMQe82BjjtISCytkm03e6zaFu3bqTKVPUo2ja3iLbH9wOFnkdmBMxp66Xwk8+irfwbr/9d323L/y9/0dY2QkoJ7J0vAhp3dzkS5rrremDXrnswa9bV+Ouva7F48U0YOrSVdaTLsmW2WgAendd6H2ohvAyZM2en3TF47bWFHkVbJ1E6w2Ik2DTNXnAd8Sww5gsg8TT7+UPDgfBo+23OSQc+PxN4uwtQUL5xGVpIDw3yQbSVv9vH9toiTDw4bQssNSZCg53jJgghpCZC0ZaQaijaSvGpkmShljwewfeOooin+/en+xWN4Eq0PeusNnbZt95E292706xiq0QjCLoQmeCPU9KcaevNadupUwP88svl1irJK1bY8mxdFQgT563e1h07UpWL2B8ke1WvQwRgt26iKua0dRrS7yA8BrIY2d4TtmGVrpy2+maBeT9UJdHW8cKqJPuSEEIqBfXb+ey0lZEuHvNsxckoIpiQ0A1oOQTodingZ+FLv5Ah/ckbjNdacJw1znDK7pzrNLvcKNbRqW5FW4n3aT3MeF1oPzIp0Bw5Yts31v5Gz6uAPjcAdVr43a8cObKtik045ZRmuO46m8A7depG91/UAma9RMOtbBbCy5DvvrNvk9yYNxed9SrajnjOJl6m2IqDKmFbCoHVdVGISxff07Ed2pUrrmYt6JZzX8Inp60QEgbcvRp44jDQtI/b2XTB4BCKtoQQoqBoS0g1QcS67dsNd0OHDvWdht1XFqft1Vf/jBYt3sHFF3+v2iwi7qxZO6wC6ODBrjv5cjFg7vA+99xQO0HSm2jrmGcrlIfTVhg2LBETJ45ymu7KaWvOtZV9Y84p9oXVqw8jN7cwINEIrkRbicUwO33KC/PFgEQXuCr4ESjR1rwuz07bqinamgXw0W1HIyw4rELbQwipAZw4BKz4Elg5ySY0OXIyBVj1lTGffjg6JpPWAdtm25ahnbYiYnlwxOrCVh5FW+0QlXgcKZx1w0zg4k8NR6+ZPf/ZXJLeSN5k5K2648ByQH5z6rS0FWs6cRBI3QkcXuc0e3BwkPWmuXvRNghoNdh4fdx5yH6ZO21PfRC44B2gjqkPkp8NbPjZiDDwkVGjOlpveE+dukn1iVyK3vq4yT5sLlnEQcb+O1myiClfkFz86dNNQquF8ePt3bZS8NataBsSanIGL/JtxdqpqoVqd1EK5YDuKzWIboCXh7yMZwY+4/1LEv0RFgUEh3h12lK0JYQQA4q2hFQTtm07Zr07XdZ5to5O2xMnfBNtxc363XeGo+SXX7bg8st/xOLF+1WmrTBiRGtVvMsVItLddFMv9fr663sqF0ZpRdtAFCKLjbWJ15646qpueO21Edb3InyKE9YV3bo1LHExMvs829J34s1uZC1UlkQwDaTQuPTqpeiT4N6l4Q5xyEqFZ2+irV7X5R0uxz297lGvd+40RFu5GaLF/qoq2uoLrZiwGDw/+HnUCncjYBBCSKAQJ+xv9xlFw366xfU8/zwPzLjLmE8/vjzXvqjU6q+Bby4Dlk0w3ovQKVmZRQVA6m6f8mwTEtz8m1erIXD/RuC2+e5zZUUwnnge8O2V3rd5x9/Ap6cZ2yDioiti6gO9xxqRD5pG3SyNXu/yK/rGqccb5lZHZtlm8uq+kxRWjYnxcANQhu7/eAPw671AgW99RomxOvPMNtb1LFniQuzX2ydO08g4IKoOkNClzCMSZISYHnV1+eVdrILst99uwL596Z6dtpK3K+exOLutzmBLW9MPAks/c19Ezira7nYoWlb6m/Ql7UvEhsfigjYX4OzEsz1/Yf2PwMTzgf/e9rJciraEEGKGoi0h1QSzI7N8RFv/nbbTptm7EqZP34qLLvrO+t4cd+CK8ePPxNGjD+OLLy50qv6shz26QlySP/642Um0FdeodsqWtBCZL05bzcMPD8Kzz56uxOYXXhjmVvzUTtuS5NoGsgiZK6dtRUQjuHLalgTJMNQu2a1bj7l27ZjWdU7iORjQeIDKbdNOW9n+kBDjp7Nly6op2saFx+G27rfhhi43VHRTCCE1Bck31UP2U2y/x3Zc+D5w/e9A2xFAx/OBuKZGNuuWmbZ5tFglQ+EF+R31ISLB3Edo1MhNbJC4/8SxqEVTQdy72Wn2Tl/h0Cogz8PNYikO9d3VQFG+IVhmGEU0nWjcA7jwPWD407Zpjbr7JNqK09Zlga4NPwGrJpe5aCt9IT3CS+ooqD5NXhZwbCeQ7fCbGFHbiG0QzPvTC5dd1tlzRII1z9ZyPgjlkGurDQjCjTf2wl139bMWnX3rrcXuC5HJ8fr7eWD6nYZ46djWpLXAHw8b87hCn/f6RkZFOm1h9JWCfZUTxJ2+ZwHw17NArvvRbcy0JYQQeyjaElJN0E5AoX17U8XeMkIEMMnO9SfTVty1Gj3kzTx07OyzXefZmomPj7aKnd6ctnIx8+WXq9GjxydWZ6W4LXUhLVmOdtuKi8NjdWK3TlvfRVtZ3zPPDEVy8kO46y4Zwgevou369b4P75P2L1y43ypIuyreVtpCZObiWxXltC2paGuOSJCsYHfuap3xqtcjTnB9zM1Z0SLY62rQUiilqlAnsg7u6nUXru18LTLyMphpSwgpGzb/Bnw8BJj7MtCoK3DZZJtol+vmRqsM67/mJ+CKKcAgY6SDvWhrKjqlGfEMcN0MoNUQn5y2buMRHBHh88WGhjtUc/rDQGxj4/WBFe6/K/PouAMh0/3oDid0sS4RoSVWwI1om5dXiJwcF5m1sr90AbIWA+yLXAWQlSuTrEVkrXFPSWuA93sDE86wn1mcy5F1/BZtL7qoo3UE1g8/uIhIcHU+aPfqEQ85uKVA+gO//WbcIKhfPxpnnJGIu+8eoNzGwoQJq3DsWJZrp+3eRUYkRkgE0Od6oGlfI45D3xzwJsK6jUcof6ftq6e+ivmXz8eIliMwd99c/LPPjTvY7CrXeOhvF1rOVzptCSHEgKItIdUEKbSlKesiZBoRBn112koHdv78Pdb2/fbbVVbRV0cCmDNmfcFetM1y6lSPGfMDbrxxhp3gNnXqpXYOVz38X7LufI15MBci88dp68926W1buzbZZzFZhEN9YSrxEdoRWhpEJNcCe2Vx2t425zasObKmRMvxJddWr+uvvX9hwYEFDnm29tuv94cIwPn5VUv8HDZ1GAZ9OwiHTtqK4xFCSMBI3ggkrzeGfAsyfF0cl4K7XFszHc81no9sMhycIuZoh6FZpGtzBtD6dGNovLumJGd6j0fY/hfw55PA1lnG+5gGRt6so1u15WDvTk7Jc71xts01q3NXHXN+Je/WMYu3VoJt3ZKJ67hoU668y1xbHRNx+dfApRPdRz2UlF3z1fFbvtxyXM2ird5OiStwRHKC/RRtZVtHjjQiEg4dysDChQ4ZvW2GASNfAbpfZpvW7kzgrhXAtdNQFvz661ZkZxti+ZgxnVRskoi3OsJLbgp/8MEy15m2Ohqg19VAbAIQUQu4fwPw4BZj/3iLO6jXBmg3Euh0gSF8VqDTViKW6kXWQ15hHu6Zew/un3e/5y9o0V6QXFs3dGwUh/tHtMfoXs7FegkhpCZC0ZaQasKuXcfLXbTVuba+OG3FlaAzdy++uCPOOqsNfv75cquD4pprbFWCfcWT01aGp/38s20I5o039sSaNbehd2+LQ8ZCSYqR+VuIrCRot624PM0Xm+WZZ6uLnjRubHPbmiMBypPaEbXx3XnfKffr4qTFOJbj4gI4QKKtFNUQJm2ahDdXvOmyCJmjaCvuH39ykSuSnIIc7Dy+E1kFWU4uZkIICRg6rkDHF5jFJUfR9sgWYNKFwOwnbNPqtABu/BN4aBsQHm1EDBTmAlKtPs6/3zifnLYydHvR+8CuefZD7lP3WASyg4ZwbB3SbhsGb8Wc11qrgW17XYm2m2YYjlTJejUjN5atubbrXAqZMWF5CAsudC3aunKfBopDq4HJFwKfnIpDa21O4759fRBtoy05/lmpfq3yssu6uI9IkP008A6g/UjbNCkcJ+dcGeXvf/+9rQ1XXNHV+vrBBwdZc/PffnsJ0tKy7Zy29ff9AOyYY8REDLrbtkBxZOu2ehNhY+KBq6cCZ79ifKfvDcDge+0jPcqZYEvshfnmukvk79n6JcOV7IpOjeNw74h2uLh3+QvRhBBSGaFoS0g1QQtL0pmX4g3lgc61FYeqNzfozz/bohFGj+5kzbDduPEOTJ9+BR54wDKczQ9EMI2MDHUp2m7caMv4/frr0fj884tcFg0rSTEys9PW10Jk/lKSYmSBzrN1tY8qymkbFhyGLvW7oEeDHr5dHJRCtP363K/xxcgvrIKmL6JtVcq1FcF21PRR1vcl3ZeEEOKbaNvehWhr+71SpO40hvTL8HEzMrw/JMw+z1ZciCEm0UciBNZ8C/zzktth1z6JtjrCQA/j1iJTbrrhDp14LvBWJyDccsNYhrkXmuIJTqYAryUC315lFJnSLuA+NwDxLuKfMg65d1U27WO4dF04EqXv9eiQ5ch+4j3ELXvF/sMcaWuqTbQVkdlFxEKJ2bfUeM5OxaNNXkerOumIjg5Dp04NAuu0lczTTdOB1F248MIO1pFZUp+gsNCP36w9C4ElnyBQiEguRciExo1rYciQFnb9ASmUq0egjR+/0Craju29HWF/PGDMOOQBoF5r54WXxDnb4wrgzOeBeMONXJ58velrvLjkRWxO3exbfyKhs5HdfMG7ZSaoE0JIdYSiLSHVABmWvX+/kamZmFh+opp22oqDVuIF3JGZmYc//9xpvViSofuatm3rqQ65DC/zF4k50MXIHAuR7d1rCGjSL7z0UptLwxF7p+2JSue09acYmRZtZZsHDGgWcAFZKkPL8apItKOjpO7QDh3ivYq25jxbuQD5++/d1Uq0ddx3dNoSQgKOiIXHdjiLtqc9BFw33Sg0ZsabWCWCVuouNw7SIGD6HcC/44GTR3yIR3BTiCzTcrNXogkEcffWamTLiRUHa85xo+0y1FtE3ZOm3+dtfwD5mcCJg0CopW/Q/xbggneAxFO9i8RmzngS+N8CQ5RzQG7Ot6l7HCHBxcgocNgWHR8hhd+Wfw681Aj46zkEDIvztxhBaBSdgb+u/RFnnhJt68NpF6121ZqJskzTorInpCDX1OuA93ohLmWhteaBiO+LF1vOFRHMN/5iuH9d5fZKTMTXFwOzHgVWfIlAMH36FpUlrB3AjjFUTz99unUE2bvvLlV984iQArw0TDKGi4G+NxrH1owI/FK07o12QPIG30Rb2c/+5CSXAfP2z8P3W7/HgYwDvt8EPvVBI8vXA8dO5mLL4RNISg/gzQZCCKnCULQlpBqwf/8Ja/RAeUUjmJ22gjkPVqrnmp23s2btsBbLuOiiDmrIfaDQEQkSI2B2X+jCUDK0X3egXVEyp21uiQqRldxp670YmQjOWtzt1i3BmjccCJ59digee2ywirMI5HL9IT03Hf+3/v+wItkYjllUwsIqktHboEG0er116zGv4nBaehbmzjWGmjZpEqsqZFd10dbxoopOW0JIwBHhMj8LCA6zF1mb9wdaDzWiA8x4yvKUHNB3uwN5mcAlnwOn3GH/eVgkUKel8froVo9OW7mp2aCBj6KtUM8SkbD4A+O59TAjm/eBzcAdi4HaTe0LrwmdHARpd7hanw+IaNu6rtHHSTjyh33urXYjS7sjYo04CT0tEJz+qMrJXdHxA+xMrY029dIxfuCPts+3/uFeiO53E3DZV0YeqzeSTLEQv9yO4WfYzqEdO1Jt59gP1wOfn+V6GbIPTrndeP3b/cB6UztLyJIlNoFy9OiOTp+3aFEbd9zRV72W3FsZmZVbGIrbFv3PiEQ4901nl6kI/Ec2G+eD/M14Kyz217PA+ERg9jjD+ZxxGBWBvuEbaoo6CER/YvqaQzj7nQV45XfbCD1CCKnJULQlpBrgafh2eThtzbm227YdQ7Nmb6Ft2/fx99+GK+aXX2wdr4svNqIRAi3aikasCz6IQKwv0Fq2tBQ9cYMuRFaSTFvpd8uwwLKgc+cGVnHbndNWxHEpiDF69Pdo1epdq3AfqDxbjQjfr7wyQuUQVxSpOal4d9W7AXGH6ogEKWriqvjczbNvxnV/XGesN81W4O7zzy90ugFgL9oaF9GVHTptCSHlFo0gw7bNUQbu8OS0ldiB4/sM92W3MUB7FyJdgw7G82GLU9EB3ScQwdbtyB6r89UkomrBOWWLvSArLlzH4fw6C9fsIpbOSfZx18KaL6KtuEkdCpWZRdu6uduNWAlXeba67Y6F1EpD3ZZAl9GYtb05Rnw1Bgv3NcHWduPsi6gJMfY3OK2CfecLXUcDOHJ4ve31ycNoW9/WP7OOrNJitAj27oqtDX8G6HuT4XKdcY9R0K4UHD5sc2y3aeN65NHjj5+qRiaZyYpsBpz1ovt2trBEhLU6FRjzhedzIs5yo2Dd98AXZwE/3YyKQAu0gRZtC4uMvmxoAA0ehBBSlaFoS0g1YPdum2hbnvEIcXE2l6nkdwmTJ69VwxBFSD7zzK/w6KNzVBEy7cwdOjSwhTFcFSPbty/d58JZ5ngE7bTduTMV/ftPwKhR36noCXeZthKNIBENZUFUVBjatatnzecVgdaMCI4DBvwfLrzwO0ybtsX6eVhYMK68suIKUlQFd6g513brVufhhRuPbUSxXOAJQcbznXf2sw7PNCPuW41jREdlhU5bQkiZI0Jj/Q5AgkM8kQiYq74CFn/ou2jb8Tybi9NBwLTSaojxvG2W00cy8kf/++w2GkHI0qJtvP1yWwwyXssIjPZnOw9tF2F2x9+Gq1UEyQYmB6a057WWwLdXOq8vU+e/unClClPHAi83BrbPsZtcP7YQDWOyXbtSB94F3LfeGIKvXcIi2nqpO+Avy5cfwp7jtTHky8vRabClMJvQ9WKg1zVAx3NLtwKzaCsCaehW53xiLUbr7XSF9NHOfcPYxxJdIY7WUpCUZBOP3Z1L0i+9//5TEBxUhJ6NjqBBdBbq1bOZHFyii9sVFQJdL/Gc+aoL5Gk8uXKroGhbYBFtAzkqjxBCqjIUbQmpBlQmp+2mTbYCYHKNMH78Iquge/757T1GFQRKtNV5tr44beX72nUjTlu5uLv11t/UBcn06VvtXMKOTtuyyrN1zLWV/LRLLplqLWixceMRnHLK/2HVqiTrvFIQ4/HHh2DTpjtx2mmWYaLVCLMbVKILrKJqGRQjs3OeBhWr+cePP9PlssTxpKtFS0RHVcC8fee0Ogdx4bYbF4QQEhA6nA3ctcyIM3B0pM64C5jzjCFQ+SLaiqAlha0kT1aGhufnuFifRSTc859ToSvpg+TmFnouQibRC3poutnlKAJk54ss7RhoG/YvHZzJo4BXmxuOT8m81QKzWXDTBbl0gS6NfN/qtHUj2ooYVphncy1bSIg46l7gDA4xsnbFZStinuSzF+QEZgi9FPX6720UH1ih+khCnTpRaNPG1O+UDN+LPgQiXfS9MpKBDT/Z9pU7RAjXzuYuF6unhLz1zvnEZlexJ8Td2ri7XSZvSdGCcf360QgLc9+ffeihQejUrACrb/saBx/4DPXjvYi2LS03Bg6uBAqcRwDZ4bi9vhYtCzBFMATayJBIPHXKU3hm4DOqaGypl2u5wUCnLSGEGFC0JaQasHu3TaSsqExbLcxq0VaEUHF9mnGV/1VazE4H7aTReba+iLZyJ1+7JSUXVlzB//yz26m4l6tM29jYss13veWW3tbXM2ZsRa9en+Ljj5djyJAvVY6xHp4/Y8YV2Lfvfrz88vAKLxRWVmj3RoOoBlh73VqMajuqzETbgkLj4v7ItE448n0vTJlysdsYDDl/JCdXSEmpGqKtzgPuULcDxp8+Hi3ibNWvCSHEIyKo7JrvexEkR8dgbGNDSCzKtxUNE/FWO/REcHREhEgZNq6zZUXIdERiGBp2BuSm1LbZdh9ZnZmeRNvQKOD+TcCt84Fwh3m2/Gbv+NXbJSKvCKK7F9jW6VhgzSraOhTfku2VomwDbgdquYgSMBdwO7rdfnKwsd8On7RENIjAKUKnIyFhNkEvEBEJsh/+ehYnF39j3ad9+zbxfcTRkY3AjzcC/7zkeT7ZHjk/pNhbt0vVpFqpK52PpxQa80W0FRp1d+ng9Qe5qZ+UdNJ6o9ybqeGR241IqaSTMWiY4OXmqI6MELf2qsme560jztqgihdtLX0JEWov63AZxrQfgzA550pJgSXqK4SiLSGEKCjaElKNnLbSb5YiCBXltM3NLbAWiOjatSEWL77JKiKKuOpqeHlZO23NmaPeipGJ6Pbgg3/afeYo2kosgRaoPQ6zDABnntkGM2dehfj4KGvswx13/I7jxw2XUe/ejdU+vuCCDu4z+qoJ2h2qC4SVhg4dbENft2xxLkZWYHF/pf2biPvPvVrtZ0+I46YqOW0b12qM6zpfh/Nb+1gshxBCNFt/ByZfCHw2zPN87objS75tXBN7d62Isg9tA544bBM5HWlnGu0ghcBcoQVTB2HOHF3j9ndb3JhSVKxJT2ehWaIGJHbAUZDVQ9p3/wuc/rARndCsn/080ZYbqXkZ9g5K2WYRbc95FQh306b67YxnB6dtRHxjTF7bCZ+s6I6ThdGGwClCp+TfSr7p3y8A+Zb4hEDm2lr26/YTTWy1xfrZXnslqp5r17HTeixu2EbdrPs4JHU7mtfLc+O09RCPoGk73HIMSx7bIH0vGfnkUfw3cfm5xvamF9XD9df39DyznHPapbpnged5QyPshdoKdtoGol9mptAiBtNpSwghBj5UBiCEVBXRVvJZIyJCK8RpKwWdtm9PtRbDkkJaffo0werVtyn3qrgxYmLCy0W0NReE8pZp65hrK9tgZvXqw8jKyrc6LefOtblwyyOG4Nxz22HNmv/hyit/wn//7bNOFwH8hx8uLfOIhspCoUVIDRGHVikRIT8iIkQNl3VV5K1YHFBBYoQKwtixXi60TKKtnCfmc6Wyklg7EQ/3e1i5hgqKCtQFV6Avuggh1RSdr5pu+z1yQnJr3+4K1G8L3PgnEOrwOyUiU/p+49HcJHKGGTcoXdLjSkOkEyHPHf1uBnpfZ3Ei+um09YQIh1qgtZs+EFj4riEyjvkcGHS38zziFpXfLbnxKG7bOM83AV07bbcZIrhFTI5qPxhjp52jXo/qlYqetbcZgqqI2et/AEIigGFPGN9NPA2IqgPEWgqElRRZv0VMXbRL+lWZ/ou2WqzPPGJkE7tzZbY9E7h0IhAWbYjekhGcsgVndzmGCQsamwqR+RiPoPeDPEqBdtnqAq3eiMgxHNHdBnUHfBkFd8diw0l+xlPe55Vtlr+fCsy0/XD4h8gtzEW9yHpYkrREjYjqm9AX4SGl65cy05YQQuzhVRohVRwRS48dyy73aARnp22uXZ5t587GEHQRFa+4omuZDdsvbaat2WlrRl+ISIGv5csPWqfPnWtzqwwbFtiiap5E5blzx+Kpp05D8+ZxqsCFRCLUFMHWHI9wKPMQ7pt7H+btt1TpLgEhIcHqhoIgznDzBX1BQSEQbFwwNBuSjj1Ba70ur0EDWxXxquK2Fcb8Oga9vuqlLraId4dVTk5BRTeDkIontpHtdY4R0+PEsR2Gs1RyVB0FW7MzUDttfUGcqeJ41fmyLtuW4CTYCvPn7/Uu2kpe6+wngE3TfW9T8wE2UdVdXIQIra5ybWX+wxtsxchcIZEPcgdRsnx1/q0qAmu7Yb45zSICi2hrjQtoaTiHBXHzXjYZaHMGSoUIhDnpyg36+wrbzdN+/Zr6vgwpBiaCsvyenzAycd0exy6jgfYjjfciYl79E3YWGYK99Hnz8wqM7NyzXvJNtA0A9uK/DyOtMizbGOujsC3O6gvedZ9xbMYsQItDvAKoH1UfTWs1RVRoFG758xbcNuc2nMhz82+CH/RPrIfbTm+NwW182A+EEFIDoGhLSBVn925bwY3ExPIWbc2ZtjkOoq2pkEcZkpBguwA7ciTLLtNWYgV8cfc2bWo/1FJE5jvu6OcyIkGLtlJQbdCg8nM3SPzB888PU9m1b7010mMBjOpI2zpt8eXIL9GsVjP8ve9v7D1huwgvCaedZstNNDuYN21OQcEJ45ypNeY/PPTvQz47bauKaJuVn4VDJw8hPTc9YNWeqzPTpm1Bgwavo2vXj1TuNSE1GnN8wTH7rFUreji/dop6E22Xfw5MuhBY9VXg2ilOTgDPPz8fH3+8wqqf9u/vRuDav9RwOTrk4XpEXKB69MfWPzzM50K0lZiJTwYD0253/z1xHosA6xCREJJxAPXqGKOqvtjQD7h9MXDWC/45T0sYjVDcsCOWLD9iFcBd3fR2i46g8Few73Q+0G4EYuvbzr0jkiEv0wfdBYTbfoM9Ig5wyR92yAhWsRI7/3GdC2wiKSnDL6ettfibP+5qXznlduDcN4DTHnEfr1GO6FFQgehPDO3QEI+f0wkjOpfSHU4IIdUEiraEVJNoBKF1a+9RAIHE7PZwdtqWj2hrFsxkyJw4Y7Ww4ks0gmM8ggybf+WV4XaC7KJFB6yZsnp/n3JKM0RFVe5h8NWJWuG10LdRX/Rq2CsgFwannmqLtvj3X5sAvHTJQWy550JsffAcu1gGX522KSmWrL1KzL8H/8XIn0YiOcuIhqBo657U1Gzceuuv6t+VnTvTcMUVPyE/3/s5QUi1pf8ttqJg2tnpSMpW/0TbpLXA7vnACduolhKTkQx8PQZ4pzteeWkennnGNirj3XfPRrt2bjJztVPWF5ejY0SC8O/r7ufpdAHQ5wYgxtQv0s5Z8zR3UQGdR9miI+Q36b1eSL77DTSudRIbDkYDCZ2NqAF3Ga+SEaoFxJKSZEQjZER3QFpajv9FyHx1WUs7/3sb2OU8msbmki7G0b0lyOj9+zlg0vnAmin20xe9C3w1GpjruUCa3zEbJ/x02vpDRKzxt3iGJQajAvh8/ed4Y/kb2J+x33oesD9BCCGBh5m2hFRxdu+2RQFUdDzC9u2GiyQsLBht2pRNHIIrB6o4amW4nMQjiGCrc3V9iUYQevSw3c2X6AHJPJW8T71ccdrKe3OebXlFIxB7dPaqLkxWUkSUl2sMielbsMDmtF2yxLiQlDxbXy9AqprTVld81vgiTNdUHn10jipQaHZlP/HEPxg/3lQUiZCaxkUfAJG1gSg3fQ7tZHQn2krBrvi2QL3W9gJeIAoqiav1wHIVKfDHl1MQF9EAJ3Ij8OP4+rikxWRgbyHQcpDz93wVUR0Z/Qkw71XgtAfdz+NKWPNVJD7vDfv3sq+KClBUHILkzGiEFxgCqsKV0zY3A3i9LSDzjTtUcldm8gb1tP1kCYuQaeK0aGtf5NWKHLu/ngUadQf+ZyrItWs+rk74CcsaRWF0px3oOHcy0HoG0Kir7+vWecgWAdrK+h+N5w0/ASOedS5E5zLT1gfRttulQMPO/rWxCjFtxzTsObEHw1oMU07bAhSovnJpOXoyF9l5hagdHYa4SJojCCGEoi0h1chpW5HxCMeOZWHbNkO0bd8+Xomp5YXk2mrRds8e//JshU6dGuDnny/DoUMZuO22vmqauAZE2Pv1123Kbbd167EKybMlBjKcf+7+uSoaIRBujjp1ItGjRyOsWXMYa9ceVpmlMm3xYkM8CJH8RB/FYbNoaxb4KiuO20RnjGsWLNiL//u/1eq15EdLpq04bl9/fRGGDGmBCy/sUNFNJKRi8Db83hqP0M715yLOmgXaQIq2IaE42XQ4au38Cc8PW4QeCSn4q84TuKTDFmDV10Zxq0CKtpKhO+pD/9tZ0vVZhNnDufEoKg5W/y7lrvweEfvmAZumGfPUS7R3ZIZGGqKtfDehC0rEmC9UMbDf3toCYEvJRdu+NwIdz3NfUM4Sw6BEWzMrJ+LUoJ8xcVR9dE84Ckj6xcEVfoq23e3XIRzbCRzZZBOSpdha4x4BKUSG3teiOqP7DuZipqW9oS68NWcbvlm6Dw+c2R73DHfzbwghhNQgGI9ASLWKRyhf0TY6OgwhIYYjQcSv/Pyico1GcCxGlpmZj82bbcVAfI1HEEaP7oQ77+xvJzYPHmyLSFi4cJ9VtI2MDFXxCKT82Hl8J15d9ipO5p8M2IXBqacaubZiDBE3dVpaNrbsPIzEx+ah/bhFxmfynxfnSIMGMVXLaesg0gZiX1Y38vIK8b//zbS+l8iU11+3uWvHjp1mlydOiN3w7n1LUW2Z+RDwxdnAzrnus2TTdnt22pqRf1+tom1gcuI3FvZXz0NbHUDdqFxc2nYN0PF848MtM411BioewRdkfZKnai465s/6ZHSEHmpv2bfHg2wF4U6s/gNY+417UV2/105cac/eRZ6LoDkSGqHEzBVbbL8f3buXIHO0eT8ji1Zn9boVbbu5jKFQgq3UFwgZC/S53r91i+tVxMXMI0aMhiBZtmbk/AhUPEI1R/clgiz/CYFw2urRciHBfkZvEEJINYWiLSHVJB4hKioUCQnlW4xA3Kg6IiEjw1bAobxFW3MxsuXLbZl4EnNQGsy5tlOmrFeZtnp6RAQHKlSk0BgId+hpp7W0c1UuW3YQQaFFiOl4FMXxx3xeV5WLRyiDfVndePPNRdaMbsltvP32vrj33gG45JJOapo4s2+8cUYFt5JUSj4bCnxxFrB/GaolIqrtWwzMuNvIjpUiTmZyTgBtRwAJXYE4D07MdT8Ac18xXI75lixwT/P7wfrsrsjKN36jD0T2NSIMEk8HwmsZubmHDAe9HVkWETW6DETbJR8Br7UE/njYf9FWxN5XmgJvdQbysmzCax2bMLs13bLf2p0F3LvOiJ4wo523kkEsotofjwJfngPMuMvvTdm5M9V689ont6m/6OgCJ9H2FOvLV//rh+nHzvV/2VKwTO8bLQ73uxn433/AkAeAXtcAiad5LUQmhoXYWC9FbiWW4tAa23Guhui+g0QjWAuRofT9iYIiirZmDh48iGuuuQbx8fGIiopCt27dsGKFUVxRC+VPP/00GjdurD4fMWIEtm93UySSEFIloepASBWmqKjY6vaSaAS/C0IEKCJB4gPMlL/T1iaaLV9+yO94BHeIWCPOWxkSzWiEisXRDRqIHFbttBX+/XefEuKDgotdXpiEwFIh3GshsqwqtS+HNhuK+lFlIFJUYSQm5fnn/1Wvg4OD8Omn5yMkxLjH/fnnF6p/Y+QGzrx5e5CVla8u4AmxkpFkPG+eATQ3HJ/VitwTtqHk8ji+F4hvY/s8Jh646nvvy5FiU0c2AmGRtpgAXWyrlOw/nI/bZw5H3ybJaH/722gmLlFBxGSJEBA3ZdPeti+IkFnSuAJfc3aFLLPT1sf1SXawtD8/C0jdaRVtY1tKPIvxb/ni3XUxRP4ZP7LZtYPV7LTd/Cuw7FPj/dbfXa5y797jOHDghCX7PcjIet01D0UdLrAaBRIT66h/H/0mPwfYNsv4OznldvvPslKBExbXtWPsQaNuSOt6J155ex1eX9QXl9e3uV79QsRgie+QGIR2I4z8WpnmLq7BhdNWXLZe+9sHVwGTLwTqdwDuqp43cLRAK9EId/e+GwVFBagTUfqCyEUWt24oRVukpaVh8ODBGDZsGP744w80aNBACbJ169pGVo4fPx7vvfceJk2ahMTERDz11FMYOXIkNm3ahMhIW+0RQkjVhU5bQqow0oHMzS2skGgEV8XINBUVjyBs3JhSongEV0RFhaF378ZO0ynaVpyjo2t8V6y4ZgXu7HlnQBzakr+sHdpKmDeJtuMGjMNTpzzl9eIsPr5qOW214D28xXC8P/x99G1k5DgTAxFjJSdSEIet+d8A+ffO7NBmRAKxI8cYjaEQV2R1RByEZlK2lmw5Or82eZMhXAYoGkFnj05e2wX3/HEGGjQ19UfMEQmO3LceuO1foFYJhvyXRLQdeAdwyh22wlzukN8fHTMhYqO4ZUU47NzNWi/rtxUW16eI6CJ8OlI30RatIHmyXS62fZZt+zds3bpkXHnlT2jd+j0MGfIl3nxzsfHB9r+AVZNxcuti67+NJS42K7/lP4wFZj1muIjNaPeriMwiVjvsh7Czn8Xri/qpAfnJyRZ3tr9ocdaca+sDst1paTm+FyHTN29ibTEW1Q1d1FT6SFd2vBLXdr4WtSNKZ5YQ6LS18dprr6F58+b48ssv0b9/fyXKnnXWWWjTpo3VZfvOO+/gySefxEUXXYTu3btj8uTJOHToEKZNs2RcE0KqPBRtCak2ebalv7tdEuLibMXIBMm4bdeuhJ35AIi24j7WhYPq1i39HWZzrq0grrp+/ZqWermkZO7QiNAIRIREWAuFBcptK3nM//671+q0FeeIXIRc1uEyhAZ7HpQi54R2W6aklPBCshxpXac1Lm1/KQY1cVGMh6iiihpX2dXmf2vN/wYTguP7ba9lGH51RDttdbEmXXRMk5fpOjPWnWgrztCHdwA3zQlYE83Zo3YCW7szAfn3PGWzUYBKI+qnRDPINoWUwSDEaEufyCyoDr4XOPsVw5nsDV3QLWUb0GU00O1SRDXvio4djVESS1abhPS5L3t22spvpxQVi7VEKhzdoQq4XnDBt+jR4xN8990Gaz9q1qwddgLn/nzbDas2bUpoFJCIAi1i6yxjb3m2FqRfp39rk5NL6LRtNxI47y1gyP3Az7caD33jQUTIgyuBFV84fc28Pp/ybHUGcYAiPyqz01ZHIwSKQosYTKctMGPGDPTt2xeXXnopGjZsiF69emHChAnWz3fv3o3Dhw+rSARN7dq1MWDAACxebLnpQgip8jAegZAqjFkwkHiEikDiEcyI+6K8817Noq05GiEQcREyPPDtt5dY30vV+PDwwHZQiX/ZaYFEXJOff27LNzSLtv4gEQl796ZXCadtv0b91IO45tgxW9xLvXrOw7XNoxoo2hI7xFXX9yZgxedA+5GodogYq522TfsASWuBow7ZiVKk7Pg+4LLJQOvTvYu2WrgLoFgqTltBhu/b9Q+i6gCtTjUEdSkYZ451KEvMTlvZh/72TWSIvRbIL/3SOllGAUjxVSmcWBwUgiC5uenqZoGIvuIybtDB5N5tB2QcQlHKVpx/3XK7UUoaVdh11zwjd1hGMqWKa3Rv6URbfexlX8ixN8cg9L8FSDxVOWndIYKp/LtrFuZ9ccnefffvWLMmGfn5hWp/RQXPwZJLfkbY/7N3HuBRVG8XP6QHkhAIIfTQIfTee0dAQBBFBCxYUFREUVG/vxU7FixYsCAiXQREOtJ7772EmgQI6T18zzt37pTd2ZbsJrvJ/fms7G62zu7Mzpx77jklspiASyRdA37qwcrK6g8CgsLNvlP2O21vsH+DzWdrFRV+6/ebFIlQJbgKjt06hsycTNQrUw8lfdXZR3khWy4iy1P8hoeQlJSExER5AIwMCf7+0smU8+fPY8aMGZg0aRJef/117NmzB88//zz8/PwwduxYSbAlIiL0MwToMv+bQCDwfITTViDwYLRTc90lHqGgoxFMi8icFY1gVEZGiGiEwnXa7r6xG69teQ3LzjmnBEqbayvBRVt4Yc+NPdh5fSeyqA3dBryMjAQ/7lJydyZvmowWs1tg0elFhf1S3AptRndYmBBtBQ5ApVIDPwfeTgBaPYYiB+Wq8uJCEm1NnbYJV1lWKMVEhNe3/lg8DsHUbekEeGEUDabxPGqFB/4AJuwBqndUryN35eo3gMML4FLRNjudLUOKJCBXabK5UGqIEo+gF8i10S3Lyn8LNB4B9P/E/P7k9nxwDtDzf2aPGX3ooCLYkhg5fXo/tGnDZhNVLXEKd+eOBOj3t+FQHIn2c84+p/LZa5zpBGX3ktu5YhOLd+WFuxRVkJFhUoJngW++2Y2ZMw9g795rOHQoRhKja+TulwTbjKBI9btKYjI9P33HT6/UPYZWJLbLaUsCcBF32kaGRKJWaC1p9tPzG57HmJVjcDFR7X/IK93rl8eY9pGoF+GCojs3oUGDBpIjlp8+/PBDixEULVq0wAcffCC5bJ988kk88cQT+P777wv8NQsEgsJDiLYCgQdz/vwdNxBt9SPDDRoUfKmRJaetM6hUKRjVq6sCsBBtC4c2Fdrgu57foX3F9lhxfgWO3jzqlMelz7ZyZf2BgW8JPymG4bHVj+GJNU8gKcskw9GA8HD2HSTBNj5eX8znbqRlpyE+PV56X1m5WZJTRpBXp61JJqNAUJTJSgNKlQf8gvTxCDwOgRdbUQFbsI1sWO60vbgFmHUvcE2d8ZAfaBvM804rVjQQffwNBDd67h3fAMeXwiXQ8vKWBU9ymJ7fBHzfCVgw2r7783iEmCMs1iEn20y0XXM0BBj2ExBqZzZw55eAl07jf/+pMTmff94Xzz3XFk2bRqBx+TisHLUEJUhkrtkdGPoDzp1TB6nynGlr5LJ2AK1gGhtrO46IMj9nztyvXA4I8EHjSglYNOIf6fKJ3DZ657OF3GM+EGDxe2VKYtHPtNXCZyfR8s4vI9tUw7uDG6FV9YKNWitIqCQsISFBOU2ZMsXwdhUrVpQEXi1RUVGIjo6WzleowL5fMTExutvQZf43gUDg+QjRViDwYLQuL62wWLiibbhbiLbOXB7DhkVJ/9auXRYtWxZd14Q7U75keXSu0hnNyjfTxSXkF4rQ0BZL5cYHYcuwHdg+crt6nR3PxZ22hLtHJMw5MQdd5nfBtqvbdC5mgZHT1nyaJx2w+/uzmA7htC2mkDMzXZ3aqnBhC3DuPyA5VsoKVYSbouQknnwGeP0qEFZbncaeLg9enPxHL3xZQysuXthkXw6unZnU2dm5tqexk9t1+9fAkUXAxa3q+3MFJAo2Hcnc116+QEqcY88XGglEDWLL++sWwFJWxNm8uSrK7N/v4FTokIpIyC2NRYtOSBepA2DIEOY4jYoqh+YVY1E6IAMx/o2YS9fHXxFt6e3UqBHqBNFW47SlXNllzwEH/7R6V+60JewpI9u27TJOnWIFcF27RiIt7Q2s/kD9TV92RnYxc/h3l9bjjGTbTlsq9qTvD2U5GxaRFd19xh8P/4jvDn6HO+l3lOgqZ+2bFXWCg4MREhKinIyiEYiOHTvi1Cl92ePp06cRGcn2W6mYjMTZ9evXK3+n2IVdu3ahffv2Ln4XAoGgoBCirUBQBOIRSLSkgobiGo8QHOyniCjOdtoSH3zQE6tXP4xt2x6Dj4/YbLqDm8OZQqM2IqFJkwiUKsXWJX4QkkMHZTYoV051ZMbFubdoa3pQJQ6yjIvISJgwHZTiOXs8Q5xEW2c4iwQexKF5LPdy5avmf9vwPjB7CPBVU+CblsCBP1Bk8Q0EXjkPvHoRCCzDRFAuftYfYPv+lPU5apH5lPl8os0etTiN/fgy4POGwJo3gcWPA8eWsOuDbLiD88O904GBX0hiKVJusutK2bm/RHm/FOvQYoyuWIz2v2gwmTh06IYiVtsLlY6lpTHX7qhRjSUXKhEVFY7fDzXEvXOH4Ls7kwE/JpSeO8eK1KpUIZHJx7lO28u7gf2/s/XLzjgse8rItC7bceNaSP+G11OLzn7fwIrNFMpHAWVqADkZzAVuK9OW1vHfBgDzTVzT7ScA7Z5RS+CKID8f+RkzDs1AUmYSSsgDOM7YN7udkom4pAxkZIsB5RdffBE7d+6U4hHOnj2LP//8Ez/++COeffZZxXgwceJEvP/++1Jp2ZEjRzBmzBhUqlQJQ4YMKeyXLxAInIRQHwQCD4WKFa5eZdO18uV4yCdaUYNEjnr1Cj4egXZaTHNtnZVpS1DxWJ8+tQwdvYKC4fyd81hyZgn2xexzutDYs2dNZXakNv6CC8T2PBePR/AEp63pQZUQbY2dtmXKBJrnYZpEJNB22JFCHEER4N9X2L+HDByBXISi6eSmea9FkZJl1anlZ9YCFLUSHmVfwZeXtzrt39vfaS5X/TR2C6Jt9U5And6slIyfyGFJbtiCQHHaOjjIHS/nhWqEQB6RQOLryZOyGGwvmz7GkgeWomaZO3jssebK1eS0JVacqYkDJ9j2MCEhXYmOyXccV7X2TIQmEZtDWchEBVVQNUIrxNva9tJrXrDgmLKvymdN+bQajSVXOmHwvHtx7nyi7jsjfZ95OZpGVLbotOXxB/z1c9o/A/T7ECgl5xkXQe7irrIPrsQjyNflh6dn70Prqeuw4UQsijutW7fGkiVLMHfuXDRq1AjvvfcevvzyS4waNUq5zSuvvILnnntOyrul2ycnJ2PVqlUICNCbagQCgedSsBXvAoHAaXDHQ2Hm2RIhIf66SIKSJU1cCwUECarR0QkucdoKCh8qIJu6a6py2R73q73UrRuG338figMHruPRibUwft14lPEvIzlts5Bll3PEk+IRTEVaEY+ghwsTRnm2nJo11UEhctvalXEo8HzIVR1UHsiQf2uyMwEfeZYL5Yzy8qHaPYBTK4qeaEtZrBs/Aqq0Avq8p/+bEo1gh8uWw0Uxcl5qc0XzgVZcs7hektg8YhYKlNxc9r0hcStVFldLlnPsuxe900C0raAIk/v3X0ejRuXtergjR2LQMugQWlWKwebEjmjeXM7HTbiCql4xCC7ljaSUHKm0yzQKplatfO5zktApxT1ooGI2ooLlEjJH4xHmzlWdxA8/3ASBgfL+qY8f9pSfhGWnmDN8+/bLGDZMkxvKHdfJMWZOW5ppoRvAr9qWxVaQEJ8UYzvLuQjB98NoX0mZBeWEfbNsWlfkZS0ABg4cKJ0sQaL5u+++K50EAkHRRDhtBQIPhbf9FlYkgVE8QmG+Du1ONDljTZ23As/G1e5QOqCbNq0vvEtmYevVrdh5fadDxRrUUs6Ji7Ods1eYmB5UCaetSk5OLu7cSZfOh4VZE221ZWQi17bAoCnUXNwpDEhYnLBHvRx/QZ9hSesSZZZGdmLX3TzjtKzWfHPjKJAoi8p5hUTW6O1ALMtBxZW9wJwRLIu0w/Ps1HCo/Y/Hp8LfPgdnYVc8QmGw6lXg4+osR1eJRyjn2LKiKfsWnLZctLWXX389iJM32XZseDfNYPvh+fD6uQcWjFyrbN9oRoHTSsiMIJGOvp8OOm1txSMYRSNwOnSoqsu9NYs2eHob+9dkMID2NXUzMAJDgYiG7Hz0DvYvZVpfOwiksCzdokoucl3itM2RH8JHiLYCgUAgIURbgcBDOXpUnTbUuLF9zgpXoHW0tmypHjwUpmhbrVppMUJfxCgodyh/HjoAUTJti7DTtm2FtqhYqvDWW3cjPp4JtradtkK0LXCuHwJ+7q0vKiKxJ1kdwCww4bZSC7U8ycw1WpnFA3j5AFkp+RdKnQEN1JxYBvw+OH+PkyFPI/eXHaw5mcCZ1cD5jar7lk8tt4cYWagLcN7MGLviEQqDQFnoTL2Vt3iEEE2hlSZ7Ny+ibWZmDmbPPoyTN9lrahmpiQeQ3bxxfixKIDf3Ls6cuaWb3ZVvpy1xZh0TsG+dA+5cBDKTWEwGj8ywgHZA/sYNywOkNHNm3z62PFq1qoRmzdTSNqJ9ezlXV3ba6ihbg32PSZCVlwEXbc0GAnb/pH6PuROa1rUfuwLLVNG3KMIHtGlf6aH6D2FCswmoFJT/4rUc2WnrLfbjBQKBQELEIwgEhUBSUgaCg42bQvMi2to7Hc4VNGxYHp9+2hunT9/CxIntCu11lC+vimYiGqHowYXG3pG98b92/4Oft2uK97hASwchzzZ/Flk5WSgTUMahTFtPKSIb22AsXm79cmG/HLcsISPCwtRtinXR9o7LX5dAdooSe39hWZEXtgDzRwFlawFP/lcwwieJliTklKvLRGTN9GlVtK0KePuyMqNbZ1hEAgm5hUlWGrBvFpCewETuoPD8ibYBIexfWg7EnctAZirgZ3mdMWT4L8D694BOL8JZaIU8t4otKRmmiratxwF3opk4aC+Uu9vmKSC8Ls0b122naJ/n0qUEHDhwQxIYbQ1aL19+ShpcPCGLtv6JstOZxLLoXdLZzIptyNounaeIBO3glFMiubZ9yYq+SID28VdLwGjdsTsewbLT9uefDyjnx41T83q1y61+/XJSDjCJ3WlpWWp8gkHOOS95MxsIuLBZPc+dtkk31LK9IgzfXyKn7QP1H3Da42bLVlsfzfdcIBAIijNiaygQFDCjRy9BSMhHeOUVNvUsrxw5wkTbwEAfpcm8sHj55Q748cdBUnFPYaF1XwjRtugeHAT6BCI0IBQlfR0UB/LgtB0VNQqPNHoEpf1LFymnbVRYFAbVHIQGYZoMP4GuhIwoW9ZyiYd2myuctgUEF0WbPKBOEScRksTTzAKIJCEX3ae1gIWPAv0/At64AbR5QvP6Lqv5rFpBkyISCosr+9iy8Q9ip+w0ICYf8RIZiXqnLQmR0vbxLrD7B5br6whlawL3/wpUtJ5jmlenrVvFI1COLpF6G2j7FNB3qvpdsQcSsO75hAm+JnC3bXJypuSKtcXixSzegjttlRiPuBMsd9cvCGWjWiu3P3EizvnxCPy903oTf8muaASiVCk/BAX5WS0iIwH2jz9YMRj1LIwcafy4HTuyiISsrFzs3atxxNNntGUasGGq7e+UdttDZWQ0sJEoO55Diq5oq42N4rOSnEVOLntsodkKBAIBQ2wOBYIC5OzZ28qO5KefbseMGZpsPAdITc1SpqqR01VEAejjESIj1ZIgQdGAi6nOPjiw6LSlZnMHKFMmQOnRcXfRtn+N/vig8we4p+Y9hf1S3LaEzJbTlkQDvs0pNNE2J4tlispTSYs8CdGqk5UIrQqEVAFonaXlYHb7q2zqtREkOJCgSQ5Uezm5AsjNZq7AwDJqARmHCrgGfws0HckuN7oP6Poaiw0oDEhknjUQmH0fkJ6oCmI3nCHayk5b2ujxUrZ1bzPxtpDhmbZUklpYxahWnbY8z9aJOBqRwMvFLiSUwV3KIqXPlVzjl7azG1RpjfoNKuhuz0Xb0NAAq9ExdsPXYxqM6fg88Fo00ONNu+7K3baWisjmzz+GhASW/3v//Q10hbl25dpmpQLr3wW2fiFtX7U5yWZOW61oG9GIlZHxQsIi7rSdN3Ae5g6YiyC/IEQnRuPk7ZNIopiLfJIjC8LCaSsQCAQMsTUUCAqQ+fPl6Z0yzz+/Chs3XnT4ccj1wAe5CzMawZ3o37+2tCNPYsqIEXIphKDIwMuzjtw8gnd2vIM/T2hyLV3ktD11+xQOxR1CKh3A2YCKSbjI5+7xCJxvDnyDjnM74tuD3xb2S3FTp611YYLnOl67liQ5uwocyoOc2RPY8B6KBUr8gMadGNlenyXJyc4EfugM/NDFWCTb/zswswew5v/se276wT35jyrOGhFeD2j+MFCzK7vceDjQfQpQWV+AVGD8/QwTn8hh6xOgirbX2cCxUzJtiYpN2b8hlW1Obc8PWVk5+PPPI9i2TRbvLcDdl26VZ6sVbeMvss+AxD0noe0TsCXakkOSu3ErVwtHCXKs08wVGuTg61G19qhduyx8fNhh4uHDMYiOTnBenq3OaXtFzTUO1ufOWoK7Xak0MiPD3N39/ffqIM7TT1seNOFOW7NcW541nJsFpN/ROXotOm1Hzgee3gKUq606bYuwaEuRCA3DGqJRuUbw9fLFq5tfxf3L78f+GLX8La/0a1gBw1tWQXg+Y+QEAoGgqCBEW4GgAJk375juMmVkDR++ABcuxOcjzzaP2XRFDBLMLl2aiJiYl6WcMkHRgrJsp3WdhpYRLbHo9CJsu7bN5Y7eCRsm4OF/H8b5hPN23ZdHJLi70zYzJxPp2elIzU5FYmYi0hxxGxarTFvroq021/HixULItV3/Dvt36+cotqJtNTlHPVp2CHIoK5OyQzOT2VRnU1a+wv7d85N9zx1zDLhziYmftXowEXfpBOCnnqpA405QTMFt2WV87zfMFVyhSf6dtijBloFWtL1vJtD4fuCRFXAlv/56EKNG/YXu3WdZXN8oHoBObheNoBVtKaKCBhRmD3GJ05aiD2ggyRLkGk1JYYNMdeuGAePWA1OuAlVaakTbdvD19VYEWnLaUlau0/JsjUTbPMZhmbptqYBs166r0vmmTSPQtq3lPGl6/3w7T6ItCdrx8Wno3X8BbqXJ8TjJMSbldiY5ybSNIch9z0ni8Qj5L+XyFGig21klsa/0q4/P7m+KGuXUGXQCgUBQnBGirUBQQBw7FquIrbQT2a9fbWU67uDB85QDDU8qIXM3/P193Gs6pMBp1AytiT7V+6BJeBOnHRgY0bZiWxwecxiLBi1Sohjsfa7wcCba0rqcnu5gtmMB8sGuD9B6TmvMPj7bpcvS05221uIRzMvICiEiQSsSkLO0KEMiqaFoKzttL+/R56lSlAHR8hFW3GT6WH6y6DN2uX3Pzx+PBFu/UiwWgKaSX93LisaIg3OB8xv1nwVldZ5Zy0q6ChISrCVKAEHyPgJ32lI5Wl5fz/CfgTdjgGaj1Oto+Q6b6VipVh7Ys+eqkj+6aZPxDCWr4po7iLYNhqjREqWcN7hMImarVkwgvHDhDrp0+RWXLhkL21Qay6lTpyzL2qVp6LRe3PcjiyiQIz2iosxNAc5z2sou19jjwG8DgS32Dz5VqGC5jGzGDNVlO358K8kRagn6G49IoH1xEm579vwd69adx/Uk9hzZd67b57Sl7QKRFi+5c4u605ZKWmcemYlfjv6CrNwsRbTVZt0KBAKBwDkI0VYgKCAoY4vz0EONMXfuMOZykEvF3nrrP4dLyIjGjSOc/EoFAg9wc8hxCa6ADuQo05Y/F3ffFpUyMtN8YHvfX3HLtLUVj2CPaJuYmIHHHluKN9/coB7M0tRoZxRn8TK+fh8DBhnMO3ZctihueRw5mUCbJ4GGQ/XutfAoVoSVlaIWbFHG76l/2fn6A80fi4qPUm8CXj5AZTvzZk8uN49GUIrGTrNCtL+fBn4fzF4rZ2YvYM5wIO4ku0zfASpO4zEDroLeHxcK+XcjKIJN+6b1nYSy/GBFCHMV2lzRgwdvGN5GK665XTyCbwAwYhbQ7TX9FHwnMX/+cNSowfL8KX+2U6dfdQItR1tUxvdBlc+0ekegy2RFgIyKMheWnVJCRpSurHfGXz+YJ6et9jNPSEjHnDlsOxAc7IdRo2wX3Glzbfv2/QMHDrDv1o1ktgx2rd9vX6YtLbM/HwA+rg40vA9oP4FFPhRRMnMz8dX+r/DFvi+kfQhlfwn5359ITM9CSka24u4WCASC4o4QbQWCAoAO1ufNO6rsF1MxApU5LFv2IAIDfRR3QGxsikNOWyo/crsDE4HABVDBxaoLq3DuzrkCExoVp62dArGniLbcWUs5dNrLAlOnbf5F2y+/3ClN6546dQu2bo0GjixiU6NXvJy/F0quUj4Ft+EQM9F29+6r6NDhF3TrNgv//XcBHg+Vf/V5D7j/N3aeQw7B1o8zoYk7j68dYMuG3LQ1ugCJ14CsdPU+l3awfys2A/ysu6kl4k6xSAESJer2V68vV4f9e/OM6gKm10AZsmbC7hlVMP51APB9JyDJWHh0Cilx5sIg7XyM+B14/gBQqZBydvOBVpzjwpopWnHN7eIRTD+bks6NcaLt0ebNj6JePSbEXrmSiM6dfzWL3zJz2tJ3d8EYNuBggrFo6ySnLYmcI+cB5erpneAOFJGZxiPMnn1YKuolRo9uInUc2EKba8tjI2j//EYy2zbsWr/P+vfqpZPAS6dU5zBBTuW+UwtlcKOg0O43eNF/ToxH6PbpRjR8azXOxuld1AKBQFBcEaKtQOACTKcH0QHGmTMsV69r1+rKtL169crhqadaSufT0rIxbZpJLp8BlLd19WqSEo1gbeqXQFBU+OfcP5i8eTJWXljpUqHx6M2jmLRxEr4+8LU63c/ORnQej0DExTnBSekiuODtQ05D4bR1ktPWeCryhg0X9DMkePHVoXwW6WWlIKt2f8SXaoTEXHM3119/nVDOr1kjZ5sWVXq9xaZ0U6ESwQvD6vQGfh8CfB4FXNYUlUXLoi2Jpj92B9a9bf3xqWDsns+ANk8BpcKMnbZG0Q3SffltTsl/rwpEDWRlVPTajPJ2nQEvXzOdgh/ZAShbk4ndeWHOCOYmLIQcX61oS05bo2nY+ngENxRtyQXOBXwnO22JKlVCJOGWslwJMgJMmyZ/32X4vqjitCXH/vGlLNrjwB+6WQBG8QhOy7Ql6vVngyEEz1y2A61wyuMR6PtgbwGZFoqV8PX10i3D3bvHoQQ50+kjS4yRZi1w926pUiZCcEAIK1Dz9tFkbOuXeVFEu/7RcYgz4xGyc+TZQF7i+EYgEAgIIdoKBE5m6dKTqFr1C7Ro8YMyhW/+fOayJR58sKHu9pMnd4S/P3NJffvtHpsOvWPHZJeGyLMVFCNM3aGuEhpjUmOw9tJa7Lq+y2HniKc6bYVoa+609fYugZAQ683VlSoFw8/P26LTllrNd+5US3bOnr0NNLpPvUE+Dm5PXcpC3TfbouKUHvjxudeAla/qHm/z5kuGcToeS1IMa7e3x/XOp1lTNAKfgs0Llghy3hKVmgHX9gNXVKHHIm2eAPp9qL9O66IlBy1Ruprxba7Kjeo0yErT4ynrMu4E8Mcw10QlUNbv/bOATi867zHp+3V2HXB6FQoamiatdVQmJGTg0qUEs9vpp7G7WaYt8ecIdVDBiZm2WsqXL4W1a0crJk9eymXqtKX9zqpVS8uZtmwAD0uf1eUdm5a6krhJoqbToBJMngntkNPWPB6BZjLw/WNyz9obHRYY6ItBg5jbt3r1UGze/Ajq1AlDmX4voPGM0Xh/c1spR9ku9zbP2D6x3HUDMm6Cdr+IZiU5GidlDZ6K4CNEW4FAIJAQoq1A4CRodPmTT7Zh6ND5khOW3LXt2/+MX345oOTZkhAwbFgDswP/ceNaKFOzaDqtNUQJmcDjiD3JyjmMSE+0q83c1B3qKqetNu9VyXwld5QdhIerUzbj4txXtOXvsWJQRTQp1wSVgyy3axc3bt1KVVy2tmYxeHmVUDIkSbQ1dRjt3XsNGRk5etG2h+y01ZVFOca2bdFS9MHFi3eQe7cEnq06G9j1veLgo+nBe/ZcK1qi7fbpwBcNgLX/M/47CSSnVgHJscDDfwFPbQHq9jV2vo1aALx8Buj4Art847C5gH7toLkT1vT7wOMREq+wCAUjpy2/zfn/gCv72HlyBI/+Gwgsy0TjPx9k4pWj0HaJHjM7w/xvJFZTbEbtnvrrSZDb/BmweJx9ArgWeo18u+sfXODrZXa2fjt84IC529dqYZQ7QAIpxwVOW+1vEc+rPXw4BpmZ7HPLycmV8m6J2rXLStswiVxNiV+Q+rooXqBqVVWkrVGjDLy9nXjoeHi++p1yoLRL77RNkba9X3yxU1dA5gi//TYYK1Y8hMOHn5beI9H3ge5IDaqLhIwAywMB5NYnoXvtW+xypebq35Y9h6KMVpyl38r+NfpjXONxqBVaK9+PnS3vcwmnrUAgEDCEaCsQOAFyVD322DK8+uo63bEfNcg//vgyxRHSq1dNnRuP8+qrHZXpWdOn75IiECwhRFuBR0Gt7t+1BRY9Zvz3fyayfMdjf1t9GC7SdqrcCWuGrcH07tNd8WqV5yHXyIh6I/BMs2dQNViTVVcEnLb8YGtI7SGYM2AOnmjyRGG/JLeLRwgLsyPrVDNVmIRS00zyLVuidZcl0ZbKiILlIi2aIu8gixcfl9rNUxLInXkXWbne2HW1ok6YpKm8WoErOjpBKkTzaBQnq4V1ce5IYO4DwJm1TFyt2IQJi9z5RtshygHmBJVnmbbkNqcSsTuaz4p+xBc+woTW9e9aF+BoCjWJsFf3WRBtZactcXieer58fWD0X4BfMHBpK3u+HJanaRckaiwcC8zsAWz6xP77UR4wibZHFgK3Hcw6VhzBJZSiqoJCK8ZaKyOzWhjlDlAxHCe8vkufiqb9EyTY8v1G2hZwAZfcpAo8V9Zg/dJGJDgtz5ZzSRMJ5kDUlzbTlj7ziRNXYcmSk0oW+fDhenOELYKD/XHPPXWkfzkkTk+aJA/6WPpO0SARRUocktdtbd62i5zU7gIfpOQO2/vq3IcXWryA+mXz/73Oka22QrQVCAQChhBtBQIn7LgMGPAnfvtNbb59++2uePppllWr5cEHGxk+Bk1Re/TRZtL5pKRMfPXVLovPp3VNNWzoOqeGQOAUtn3J/j23QZeVJ0FOr6OL2XkSIKxMF+dCY0mfkpJDNCxQc8DpRLirlly2JNqObzoeVUOKlmhL7tpe1XrZLUYXF0jMSE7OtCvP1p4yMm1EARGQeBo5d64BZWuwKxwUzVatOov7718ouXe/6LcRaW98jYnt9mFrtD4CwPR5TQf7PBJLmbEc7qi9tE1/fXgUa3DPSmGOWi0+fkw8JbRuf4pXiL8A+JYCer9j/XW9eAx44RDg7Wf8+kKrsYgCcvX2+0j/N3LlPTQf8AkALmwGYtUcYpusfwc4sYydv7DJ/O8kXlNOqWn2LBXWRcgRTabLw17R1j+kwAuWjEXbGIuZtjQIbu86XChO2+ajgXK1XfpULVuqztV9+66ZlZDVratx/T7wB9BgCDBmqdUyMqfm2RK93gaiBgFjlzt0N4o04PE1FIswffpu6Tx9Lb/8sh/8/eW4h/yQdgdP1N+ILwfusOze5vs02kEMWoZR9wJdX0NRRjvA7WyyhWgrEAgEOoRoKxDkE3JTrV/PDr4DAnwwf/5wvPVWN8yYMRC//z4EgYFs57FkSV8MGWJ5BPq11zpJ8QkEibYJCZq2a41AzA++acTfXjeYQFAokAh7/ZB6WetmI2KPq+dDKqtZk1ZEW1ccIDjrQERfROa+ou0jjR7BF92/kFzLAvM8W+7Wyo9oS9OQt22T3aEyX/dZA+8vo5g7896vgaqtJcHhuef+xZkztqMSqGSHj2u0b1ACAT7ZyEQgtkYzR93daOZa27w52mCwz1zgKlqireyoPTgH+Ospdeo/FW5V5REJO1mG7OyhqkjLy4+0ou3JFexfihYgwdca3iwXGr3eAe79BqjS2liY6v0uE0xNqd6RCWYUl0DuYHtpfL963igeYdPHwIIxwFWDvF6eHeqwaJuoFi8VMEairbV4BBLX3LKklTttCyDvtGXLShrR9rpxCZm2MG/ELCDMfGq71hxQp45G6HUGIZXY979GF4fvqnXbEvRx//LLYDz8sAPrkTVyc+C3ZSpeaLkDvl5se1K5crBt0bZmN+CB2UCI/XEPnkjZgLL4te+v+LH3j9LluNQ4XEy4iMRMeTuRj/xq/jvnk9fCRIFAIChiiK2hQJBPLl9WyzDefbcbRoxQi8ZGj26KvXufxMSJbfH33w8gNFTNxjKFcrTGjGkqnb9zJx2LF58wPCDhwoK9JQuCPHLzLJv6Jsg7JArwac2vXwfKR+n/zsuB6ECW3Gq8NMiKmHo1+So+2fMJfj7ys0tesiIOe3nhStIVnLp9yu6DEE9x2nKWnVuGXgt74Z0dNtyExVC0za/TlnIktZEEAT5ZaF1Zns7d839AizHILR2JESMW4ptv9rDIgxTm8rXEhQt3pH99fLzQNJLdNqxGXey4UkkqbikRfxEZNy8r5Wdazcqjc21JlEyOsR6PULWNev7yLr1Ayl24FHdwfhNz/XORxZpoS0Vm9lKtLdBiNBCaB/d6nd7s/pxrB4CT/wKnVpqfuBu3QiPgsdXsfJK5eImUOMu5qYpoaztL3NhpW/AFX9rYA87ly4lKBjWRlZWjDJa5ZQkZ4Sv/RsSo5bSuonnzCso2gPK1TZ22ungEKzzwQCO0aVMZzZpVwKhRThJEnYC2jIwMD3/8cR8eeYTNWHMKgWWUgraB3ctI4rXZbLlMeZ3wc8MoDhfj5+2HVhVaoXUFNlD1/s73MejvQVh9Ud4u5RHSawc1rYQBjSvC30fIFAKBQECIraFAkE+04gyVipnSoEE4vviiH3r3th3O/8QTrJCMWLnyrI08WxGN4DJoSuk3LYEv7W8zFhigFT/8DFzhvByo7dOqY01LvDrNe1idYXi/4/uoV7YeZh+fLQmOLhVt4YU3tr6B4cuHY8c1TYmRFUqV8lOc9XFxJlEQbphFl5aVhpjUGMSnWyiJK2ZoBaC8OG15wY9pni39BrSuFAM/71ykeIWxDFTp9rcVMYoEqPff32z1uS5dYqItFQOVSGSN8PXaNkVihj8Ox7DfgwubV0lZ6sSAAXWLRjyC/F4lwUtb5KRFez053bSQY7b1EyxDNDdLzqGVIyrI3RoaCQRXYJdvnWMzAKiEsG4f26+NRNRf+gG/DoBToJkJfwwH5lFG74PmJ8rP5ITVVgXabBPBP+WmFdHWQKi2VzynKIdCEG21TlsSIzmHDsXoCqncOs9Wyx3zCBNnQ/ms9eqVUwZtKP7FotPWChRDsGvXOBw48JRhJ0Nh0apVRWUQa9684XjoISfvr5HLsxTrjfhrVlccPfqMFGVm02lbTOGzk+wtbrUERSJ8PbI5vh3VAqWcEXMhEAgERQAh2goEThRt87tDS24G7vBau/acWVuyKCErYJEgO11TviJwmLQ7rOiHO9ZILNTm1pI7JSBUndpMRTzkgiMoj/HrFsCemdLFZuWbYXDtwUrJhba52JkMqjUIux7ahWndpsFbdus58lx8G+DOTtsn1j6BJrOaYPWl1ToXc3Enr05b7mZbvfqckomrFW0fe6wZOlVj25SzmXWBnEzgwhbc2vi77rGmTduBkydlsc0EistJSGDO3QY1/ZWp6u36MhfpFjnXNu6oXIgFYOjQ+op4RaINF+s9OhrB2pT3hxaw2IBecpM7p2JTYMBnatQBOW/540R2ACYeBgZ+zi6f+pf9W70Tc9rZgoRkGnyiMjFtqVJeuXmGibGVWxmftPEQgWXZ9pXKzFI18RpZaUBmsnnxFSeCSppKMPdykgOxGSRivxkDPLoShSna9u9f2zAiQXsbs+xRd6HRMKDJAyxKowAwLSPjTtugID+zeAFP4+23u+G77+7Bnj1POFw8ZjdUWEhYmnVVjEXbhIwEzDkxB4tPL9aLtnDNvplAIBAUZ4RoKxA4qW3cGaIttdX26cMcuXSATi3gWoRoW0BUacUOiE3cngIHuecT4JXzQIPBwJLxwKe19Bm3904HXrnAhJPMVCbSUt7kjm+BRY8Dudns9hqxlwrCXCk0+nj5oKRvSQT6BCoHIY48l1a0dVeRjETou7gLnxI+LhXACxRa1p/UAt4uDWz6NN/bcnvzwkn8GDo0ShGNpk3bLn3uvAyMXGr0dy7a7ompxgaCZg1EmyvvwN+buWKJrKxcPPvsv4bfm0uX1BieZjWy2JnAsqhVv4rU6P7x1tao8tV4vLZajQno0iVSidEhQdpoirlHEFSBFXmR2GWNun2BYTMti608jqVaB8uPQS7ScnXtj0bQxjXQNiu/NB4OPL4aeGK98andeL0T8LVLwOtX9PmZ3GVLgq5RJi8JTOXqsL/fPu/4azTK5i1Q0baOYRkZLyFza6ctzSi570cWpVEAaMvItm+/jIsX7yguW7fM/HWA0qUDMH58aym2wWWQK5/g8Sym8MGRYhiPcCv9Fj7a/RE+3/e5XrTN5/4E/f5l5+S67f6TQCAQFAZCtC1qUBt1kpybJygQtI46ZxSDaV0kphEJ2lxCmnIrcCHyFGbEXyzsV+LZUGkNRSPQFF5yg3HhRCs8kAhAt6E2dWL162waM7VZl64GTG+Go1umYuPljbiRekM9MCBH2Q0HsgHjTjFx2E64QOzIwUN4OHPc5OTclbKp3ZEcuaSJMunc3mlLgyb2ZEunJwCpslh1lDl/CsJpS3z4YU9pii7x6afbJZdtbCxzYHXsWBWRVYPQsSrLlFxzsjxzP/oFwavEXVQPZY7Z8uXZ92bDhguYP/+YxWgEon4l+Xsluy779q2Fq0nBuHonUBJmuGhFYm7jxuXdOyKB3PXXD+sd+KZQSRIVeXV5Oe/PQ9uKs2v1Gbda6Plp29DyEWDCHqC1nQKstignqxDc9UYOP22erSVhbvQS4PVrQKQ8y8HN4QMOpUr5SjOSfH3Zcj94UN3f1Q5KuG2mbQGjFW0XLToulTy5pFCsqGLLadt2PDDpBCsbLGbw/SIu1jpLtL2dkonab6xEjSn/Kt9XgUAgKO4I0bYoQW2005sB0+pZPwASuG08Aj8ANxJtKf+Ql0nQDjflZwpcBK0/ZeXMw/gLhf1qPBPu9uJwoYTn2JLIZkqnF9XztXsD9/3EIiriL+LnK+vx3IbnsP3qdlVoXPs/4PuO+pxHS5xdD3zbBvhb41QzYPu17VKW7YJTC/LltHXniAR+UOVLTjsnZNC5DBqAnNEBmNkLyFEdqTa/b+QeJDGwADJtuWvtqadaspeRkoWRIxfr3K7et06idEAmkjJ8sXK/v1QadlceFKpZ5o70XDNnDlLuM2nSal2JmanTNrRCBBA1CKjZVbrcr5860Kd9XnLSaWdkHDniwFT4gmL718APnYEdLp4uflyTgR1hUiZ08E/g4+rAipfy5yY1LVosLJQ8W5ZnaggJ/j4O7kPs/QX480Hg8AIUltOWYg/8/LyVQesTJ+KQlpZl5sZ1W6dtAdO8eUVFt+fuf0fybIs9tpy2NNgcUgkIKn4mCr5f5GzRNkcRg2lMzLPd4AKBQOAshGhblNA6KtJVV47AtXBhxt/fW3KBOKMRt0WLioqLhE/5mz59l6LFO7UhV2DO3JGqW084bR0nOQ74rC7wYzfV2cpza0m0pS/yz32BzxsCV/er9yOnbbcpQPPRwIjfmaggN53nyCIvd4dKQuPuH9n9lj5rW9TjotDxv63e7Nydc1LJ2d6YvYrT1pGDkPBwVbTlTeZuL9q6azzCpW1s+imV9lw2cWhbchcSORksG7SAnLbEW291RXAw+25eu6ZO0+7cuZokkH124VG8+V9HJKfmSn9PD2Qu2VplEyRhZdCgehg0qK7iGPz2290WnbaBdTsBD/wB9Hlfuty9ew3Jefhgo5NYOWoxnmp5SBJtCa3TVjtTw21Y/w77d82blm8TexJIuArIDvE80eg+5qK992vA26TchnK1aZ/p0J9AVh7c8Y+vBer2BwZ/iwLn6F/AnBHArh/0Gb60/ez+unOfi4rLTq/MW6RCPqBiPT5rgWfV8inxNKPh2LE4s3gEt820LWAovqV+fSbea70cwmlrJ60eBcbvAHpY2T4VU1zltM2R3bU+2lkMAoFAUMwRW8SiBOW40cEHISISCgyeg0gOO2dlhGkjElatOisdsPz88wHpMrXTc1eXwEVo3bVCtHWc06sAcmHQzjs5UYjKLViGIjlWru0H4k4AiVeA0Gr6+3Z7DRj8jXo/WbTNlbPjuNAouTxevw7IBwq2xFhl29j7Pas34wccJNgWVactfz+hAaGoHVoblYNZiZVblvbU6sHOn1xhv2hL3DhcIJm22liMKVM66a6jgTypCCiwDK6W7Yfpu1pI1589exvX0piQUrNMAlq0qKDELHB27ZLLEA2ctpGR8ndZI8x06lQNkaUT0a/2JXSJvKKItuRI5D9Lbifams4I4oVjpsx/GPiiARPx85MlOugroMUY87/J2xiJD6sAiWxGi91UbQM8NA8IU2fJFBgJl4Ezq4Ere9XrgiNYjni9/pbvl50J/P0s8EMXtUzJFryU0z8EBYneQctiD5o3V3NMeUSCiEcwpmVLVkamRTht7YQc6VTcF6jf5irs/RVYNQW4vAfFDb6v5CVLCe0rtceoqFGICsvfjIPsHLm/QLhsBQKBwDmi7UcffSSJVBMnTrR6u4ULF6J+/foICAhA48aN8e+/cjuvwPnQNB3C0YMOQZ5Hmrkw44w8W0u5tj/9tE+adstdts58LoGBkMDFg66vFcusModJuwOcXQecWctOh+ay67VlPr6Bambttq/Yv2F1rE/hJcrUkPI/c+QDhBqla2Dp4KWY3X82E3bJmUts/cJ6LAx3XobXs3vKX89qPfFow0dRtwxzQDoq2sbF2SmGFNLBVufKnbFk8BK800F2O7ojreRs0ZP/WP98eZ6t1hWYD6etWTwCfX/oe26FiRPboUoVVdBq164K/P2Zq7N2bdXZRqLtqVjmBKwZypy2RFRUuDQoR5w4cdOiaFs1XC3m08bqHLzBpui2rHxLmT4eGOirPPfx43HIyZFdUHR/Wkb2xkjcOgeksOZ5p0Fq8quaosdTK61vj+UMX6ejfVzK0g7WlHq5O8HyPl/SdcfuR7MYKOOXih5jjtt3n/REtaytkETbChVYhq+2fOrAgetmt4uIMMj6Laa0amX+fa5TR4i2TuHUv8DO74Cbp1BsRVvZETuw5kC81uY1tKtokBmeB6etEG0FAoHACaLtnj178MMPP6BJkyZWb7d9+3aMHDkSjz/+OA4cOIAhQ4ZIp6NHHSiPEdgHiSaxx/O2Ay/IE8nJmcjMzHFani2nbdsqCA0NkM6vWXMO06fv1gkDAhdC02R5I3CniXoXlsAYypRd9BgwZzg7cUecaQM7L705vlR/2Rp0QBDRCHzCXaBPIGqG1kTVYFloafMEa26OOcq2gUZQlMItWbQNrmB1JoLWaTu49mBMajUJTcObIi/xCO7qtKX307FSR5QNdOMpslyUJKetTyBwJ5p9xrZyPOVIi/w4bSkzs2RJX32B3TetgBkdrd6fBNKpU2VnMJm6e9cETvwjDSi0jLimE233nvNXMm25a5Dy++rVK6dkmPPfFm08AmV1+v/cBZhagRV4yVCu7cEbLAqhdplb8MpWBejGjSOUaebnzsWzK/fPAr7vBGz+zPaCIdH06xYsP9rZkIONu99JmDfK6ufvJcRFjnDtDJma3S2Xd7kjIRXN9/nObwSO/Q3cYaV0FuG/bfauK4rTtjBFWzbY0bSpKtquWnUO7723CWfO3Fb2xXx985BJXEyctjQg5Wj8S7ElIxnY/Clz0xrBXepGhYDFzGnrLHimrRBtBQKBQCVPW9rk5GSMGjUKP/30E8qUKWP1tl999RX69euHyZMnIyoqCu+99x5atGiBb75xcelEcWTfLPW8EG09soSMQ03kffqwqZYJCRm4coU5XCjzUExrczH8QJeat8kdKrBNhwnAyPlAxWbqqd0z5sU81TsDVTWDDjzn1hYVGiNHFlJ4ZAF+7g38NhBIimFZldxta2kKMRWaETQdeJ1lZ2mOnJupPI+DeEI8whvt3sD3vb9Hw7CGcFsWjwNm3cuEWnsiEujz9fJRb3v7Qp6LyEjU0EXdUNwHQXEeNhg9ugm+/LIvXnqpPSbflwEsehRY9zaistbrRNtle/zx5PJemPxfH53rLSqqnJLVeebMLUVsjYlh4kDN6sFA0jX2fnmzuSxiPfpcH9zKCIZ3ibtA7Anlb/pcW7lQZ/kL7N9NH9leMJd2qPsVrig5rT8AoAGE0EiDyITLaiGQDxO6XcLY5azcbej38Ci4KzhR89lQudvCscCFzXaKtkc8TrSlQe0aNdiU9fPn4/G//21UnPKihEwPuZK1mzPhsnWQDe8zNy0JuKbwAX4aOC5mRJaOxIxeM/BeRzbolpyZjNjUWOlf52TaCtFWIBAIOHk6Kn322WcxYMAA9OrVy+Ztd+zYYXa7vn37StdbIiMjA4mJicopKUktFxBYQZsHRzvwApejzUAsV865Ap82IoFDQoDAxWin4l7aDuz6Ebh5trBflftDrtmnNqmnfh+aO9bq9AbGLAXkMjFUs9M1Xrklcv3ZQVFKVgq+3v0Zvk0+DVzcwrK82z8LlKvHMlDJVWuKaSmVFZFC67SNT4/H5aTLSMyUpwXbmW3q7kVknH0x+zBoySC8sEEW8NwFKoMiofTCJsDLm4l6FJPBc4mN6Pk/4P9usgKm5/YDLzjutOWij5kLTVusQlmgViCx94UX2uGz50vD768xQE6mlC9aatjn0mAcsWfPNew7mY2f9jdBUlgbXUM2F221EQmXL6vRCE1rUjRCLsuHLqWKscSHH/ZCWIM2Zu7JRo3U2x09GgskxxpPe7dE2m3VOe9MF+rGj4BVr7OIhslngXunmz++q6MRODW6sHI3cuJ7omiblQJkJOrznWng0amibWKhZNpqC8a0WbUjRzYyvL3kcBfoMq8peoUjBv4dgPY7uCBLefymFGOnbYhfCDpV7oQ2Fdlvzlf7v0LPhT0x67jGQJQHAn290SsqAp3r2IjOEggEgmKESYWubebNm4f9+/dL8Qj2cOPGDUREsKl5HLpM11viww8/xDvvuHHGnieItgEFu1NdXNE66ZydM0vTXbW0aFFRKZcRuBCtSLBlGptyP2g6UM5cRBfIRW3kkLNXzKESMhKyyDlHQpw9NBuJ0WUroE9qDCJDIvHezvfgVzoEz3qFsdId4tldll9D+frAwC+ZWLXxAyDuJBPfKNfRQqZtiew0fLrjPSyPXotJLSfh0UaPFhmnLSc9Ox0XEy/C39uFDsa8QGItuXUor7NSC+bcbvaQ7e8Y/Z1yjvNQCJWWloW0tGzjbTkXamlQwOA7YwaJYHPuB7JSgdq9gPtmwsfHV3IG0hTu6GhVhNUWKhFaceXEiTizPNtGVTPYmdKVWXSIkRB3br1OiNM7bWOBU5pyxU6TbOfa8jLGsnaur/ZC2df02PX6sXXU6va4qnOfu6hA3/eA0kB6Ahusp/M8e9hWXngFOd4s5hhAMwxogMQatN12E6ct8f77PXD//Q2l7HCKEqFT6dIBYj/JgJYtK0qZ1kSdOm4ci+OO0IyG28lMtDX9bSnGoq0pfHYSH/jOK1XLlsTMsa2c9KoEAoGgGIq2ly9fxgsvvIC1a9dKpWKuYsqUKZg0aZJy+erVq2jQoIHLnq9IQM6kFNk988oFoKTYKfPkeAR+cEIH9AcOsAGOSZPa6afsClwDZSxWaQNENFbXKS5aCMwdel+3YrmKT26yb7tTMgxo+zSLnnDg+9y9Wnfp3xspbH3IpbtW66DewNpjkQDf6lE2fZimOVJuMQm3Fc0z2R9r9BgerDEQ/tNb4mMacAzwVoRce9C6NN3VaTt06VBcS76GJ5o8IV125P0VCDzblBy29LnynFoXoi0hM3PacueiPYMM9B1b+CiQkcDiP0bMVoReKgTjuZtEk4g4jKhzALheRfkuap22J0/ESs5xnmcrPUZ4KpBoRcQk0ZaEO028Bz2vv783MjJymGh7chP7Q4//A7q8bPs98agJyg0+vwmo2RX5hkRGvl2NaKQuu+sHgfAowDdAH4/gaqetJ0ODGzTDgLZrtAwVp60N0bZsTcC3FHPpUtFcuI3CxZdosCuDubwLkBs3UgxFW9of0haSCSzTqVM1zJ7N3PdimTkIDTDfPm/DaVv84hHiUuOw5eoWlPYrjZ6RPZ0m2goEAoEgn6Ltvn37EBsbK2XScnJycrB582Ypo5ZiDby99QdXFSpUQEyM/oeOLtP1lvD395dOHIpIENgg8Sr717ckmy4s8HjRlnjjjc4YPnwhunWrLjlKBAVAkxHsRGyXs7fjHc/HLBacWcPa1n0C7B8oCq8H9P84b8+XnQHvLCau5RjFK5Ar78IWoEx145IzEgBJ1KJYBZo+biDalvQtiZJxZ4HcbPZcAUG460COJ02BJ9GPREB3ddqmZqUiNTvVPQ+yyPF3aqUq2po6Xulzq2LgwpkzAvD2Be75jGW+7viWxQf0/8jhqBvKtNXBB2/o4N0WJDJS6R3l6z74J3NCasRTLRPaHECX+NnASS/lu0h5k97eJaRM24DYvcCHL6BtJhXhse961ZBEWbS1IGI2GMIcwZpBDG9vLzRoEC4NAFKebnr3qQigOIB699ixZDSDVuSMvXEUGL/VjuVwlYkcldX9RR30OJDFZ77t+KUvcHkXy8cm9y1Ri4rBvFh8gcCYJzeqIjcNpOXIbuySNkRbctZWaMTE+FTZnWsLV+YK23Da0le6fHnhaMwLjzzSDCdP3pQKFu+5p05hvxzPgmeHm8bK0H5BMXbank84j7e2v4XaobWFaCsQCATuJNr27NkTR47os68effRR1K9fH6+++qqZYEu0b98e69evx8SJE5XryKlL1wtcNKVbuDELDF5c4yrRdtiwBsjIeFPKPOR5iIIChMQ/QjhtjeHFUKbimgs4/O/zSD+yEOHNxkiX75YogbtV20G3tdvzM7D1c6DZw3rR9tA85pIkAYmmBEuirZUcRxKOSNOQxVpHnai0LXBn0Tb7LosB8JUdc251kHVlD3MK+pcGqndSr0+LB75swmITXj4LlNLkMuZkswEE3AUGfsEKY44uZrEddoq2Vp229/3E3J8U20DlejU6W36gtDusbI8OYE0GMkxF20sJZcy2L35+3qhVqyxOn76F0PQzkgsyM1V9beF+8eyMJdHW23i3rnHjCEm0zc29i4PRJdGuw3Pq66VlXqOrcfQDrQPa7V/cCea2tCTe0ayfnd8C699lsRaUb20EX/94ripRsSlb904uV0Vbipegk8AyXLAluMuWnH+aAQOLPPKvxe+Mu8AzbSkvXOwH5Q3arnz+ed/CfhmeCR+sM3LaTjzMhFtbAyRFEL7fwMVa/q8jg9xG7L5wG6Nm7kTt8sFY+YKV31qBQCAoRji09xMcHIxGjRrpTqVKlUJYWJh0nhgzZowUb8ChOIVVq1Zh2rRpOHnyJN5++23s3bsXEyZMcP67KQ5Q9lzcacuibUhl4Jd+wLQoIPFagb+84oarnbZ8Z1scqBQg2iIrnuEoRFtzSLg5s1YtKHIx7ycexuMVyuHE6WXKdTllZVGdQ9PRiWhN0WXqbWDJU8AvfdhrtlG+s/bSWrwf/Q/+KxkIb7/gPIma4eFsW5CYmIGMDCaQuhP8/fh5+TknHoGWa8xx50Yj1O3LnLMcmkFCgyj02k/LTlxdURYdKJYAAsuqn/GdS0yUdHAAzsxpSwLlrbPstWkKvgwhx+zjq4FH/zX7k6lomxlUzXD7wiMSGoaxKJCM9AwsHrEM41ocRqlaLYGoQUwQtYXm4Ll9e1Xk3bz5kvr3r1sCc4Zbfl/Z6UDTB4Ca3ZgQmJvNokUsEXuMCbYERR1os/YNRVuN250P/pDT+twGdrqw2fb7FKiQa9aeaASOvYItOaf/fBBYrhowCgISgLjTVhuNIBAUvNPWRLQlgwwNntHsITcf+CgI0ZbHt+V3fyI7NxdZOXeRY1QqKxAIBMUUpytB0dHRuH79unK5Q4cO+PPPP/Hjjz+iadOmWLRoEf7++29F5BU4CB0MfdsaOL5Ufz0d4I7+G+j6KnDnMpseKkRbl3PzppUptQLPHBSZWgH4sjFz9pFTj6Dzdoo/xQaKIchMAoIqsLIoF5MjO/t86bOQyZWEOg1VWzPh7vY5dSrjzTPs35AqrAm6SmugxRig6UjD59l/Yw/ml0jGYX8/eMluv7w4bY2m3bvbwZavt5OctiQ6zh4CnPsv/y+uckvmrGw4xPxvfHDg9Cr99dxdSM5WOnimf3nmK5Us5ddpS5QK1z+XLQxmvJiKtkFV6xjGr3DRtlkF9lxeWSm4L+ospnTeh4D2jwIP/AFEWRko2fsr8FUzVTwF0LVrJHy9cjB32Ar4Hp3HtnX0Gqu2MR/o0ELZ04O+AsYsBSo1Z9dZc6mbirTcjW8KF4m1TtvIjkBAKJuqP3soO81/2PJzCRgXt7Liu1WvA2G1gRG/A73Vz94uSMC35pCjiBAaLJEc7QVHfHw6srLY9kmItoJCgWbujN8B9Jla2K/EreD7DSXk+U7ecvZ8fvcncnLZdsjbqGhTIBAIiin53iJu3LgRX375pe7yb7/9prvN/fffj1OnTkmZt0ePHsU999iZoyYwZ/t09u+/k/XXk6uCst9oSjCVAhFJqngu8FynraAAoYEOygNMimHTs0nk42KNcNtaKIu6x7jF3snkeDNXqK9GVzATU8mNWV4urYzeyf69Kc9MKCcLZOVqA/d+DbQYbfw8JGbRj2PZ2vAODMvTQYh2W0DN5u4GX24lfUqiclBlVCiVz2KaIwvZenJ6df5fXMOhwMOLjSM3JFEe5rNNFHehvK4SNhzV1jNtNdtymvq65Glg1wzboi1FA1CmqAWqVw+Vom6UlxjVWHVwZaq/JVFR4ZLA2jCc5Yw+vawbbqUGoGZovPmArSEUaXBB556tX78chjSLw4ONTuGhiMXIuSu/Dp4LzdcXa3BXrEOirbyd0EIOKv6ZaUVbGkQgsZGeh4og6cTXZ4Fl6DtHYioJ7xQb0mAwO9kDfRa/DQQ+qmY8/ZuTwSIK4M9mHxQU3GVLCNFWUCjQMVVEA1ZSa7q/uPoNYJt8XFbM4PtFXKxtFNYIw+oMQ9NwymDPO9mKaOuEFykQCARFhOI3n8OT4Qc53P1iiWD5ADxRiLauhk+pDQjwkQoeBEUlG7qyKkQOmQH4hwDlbDRrFyfoQP/UvwUWjUBwebbU3VzMa/kGvCo2Vab366CBK5qiTSJUg3s1oq19n18ulfPQAUPDoWjhE4LsSt3QpJx5YZk98QiEO+ba5srTDuuVrYdVw0xcq45EItA0ecohDa8PbP5UH2fgCCm3gEvb2OdlT8Y0xR7Qe+DrqOK01UwJJzGQvqN2irYWnbZJN1gBl9HvsCnnNwLzRjLBmdywBlE3kZGlceECc+03aFkX2FoaSE9g74nycmWnbf1yt+Hvk4Pk7EAcvF4W03c3xzvddjCRgMrGrA2UcHH1uira0tTVxzuy2Td/n6yJVodi0bJlJX2kCDktTR3C9H6paJAGsOwRwvk2lCIcTiwHLm5jESXafF967ZOOs4HlYHmQmdNyLDsJ7Cc/A/X0WdD6k5HIPle+/+gmoi3PsyUqVhSircCNoG3djm/Y71LH51Hc4xGojIxO+X5c4bQVCAQCM8QW0R2gAxp7BFa6XXAl9UCSylc4O78HDvzBpnErtxHxCK6GCzLkrON5TgI3hQSJ2BP69caiaCtPrSbq9AaqtbWv1KXYcBcY+j3Q9mmgeucCPUDwuXsXDVMSERUWBW9ZYLWaa8vjEbjTlsjOZILW9UMWXaheaXfQ+6/n8ca+ZeherXuenbbuKNo2Ld8ULcq3QKCPA5Eu5G4lUZKfFj8O/NwHOL1GdWvSMqUSMFvr4bWD6uNQpMKcYcCC0cD+2dbvS+sluXooZ1XrCjTK8VQERvPP2KFMW9PGcGtOW0n4zGVT/C3QrBkTxQIDfdC0aYRh2SG5Ynk0wv5r9J5K4JvdzdTf9XflAjNLkDuVDqRpSjvNGiByc9GxHBNb/z5ZG5s2ybm2lI1LoixFEvB1RQuJxB9WBnZ8qxdtLeUN3olm/1bvApRvCND6ZDSlnn4vQyqJ4lRnwIVvWicotubYEuC2PnLDKsrnaiWvWRFtQ1CQCKetoNDJSgM2fQqseFm/3aNSTIKyvotzPIKTt+HcaeujmZUiEAgExR3htC1syK00oyPbIaYWUpO2aR3hdYEXjwEfVpEapaVilPL12UHwurfYgWxkB43rgpWYCFxXkMEFGZFn6wEcmA0sew7o/ibQ1SRehJNw2Vy0FZhDYmmtHuxUQChiKv1v1WtA2yeNb8gFRBIgaMq5kdN27y/AqleBuv2Bh+ap19+9i9x4JmZ5821x+h02GEbRC3ZCLeecuDj3E21n9JKn+tsL5cLS75RphjBFVlCGLJWx0DpD68/Vvay0yhInlgELxphfXzJMzVe1BDl56bnIlUrT//lvXXYaey26eATZbUoZn3Zw+3a6sdOWi8MkFtN30Kpou1M/cGDARx/1QmhoAAYNqovgYH+g19ssh7mSWixG198tGYblp2pi9zUm8t5OC8Ql7+aIzDlg+83QABO9b/ruS+7JCODA7wjKvYWkDF9suFAVfpsuYdKk9oCPH1C5FXBpKxOdaT9DC8/bJWGQCnf6fiAv27s2Br6qMMcxud4p17bpg7ZftyBv0Peefz//+wCI3g70+whoN95+0ZYiTqw5qHnsh4hHEBQ3vHyA/yjP9i7Q7TV1cJCicwg/9fe+ONGoXCNM6zoNpSlKjBZHTibSc9LhU8IHJX1LOiHTVoi2AoFAwBGibWFzaJ7qiKUDLC44WIKmi9w7HQiKAELl5mlyyJBgS4RUVp22oojMpSQlZSoFGSLP1gPg7fYkwllCKzhwaD0i0YGca60fd/GLFNjMT6vaDj9Xa4acwz/i4aiHzQ8O6LN7aAErRyNxmTsYtaJtRQvZnLfOIef8f0BwEEp4+SC1VHmkpt+Ef+xxBFNJUhFx2nKuJl/Fi/+9KDluZ/WfZfmGZ9exA1ZykNJvDBcGu7yiCvf023XkMhMurYm25AQkSpVXRVYSyPtOZaKgLUiIys3Wr6OdXgQ6TmTlWhz6fZywV++wttNpq2Z8Ow4AAQAASURBVBdtZadtREM2EJAcZznP9tp+dt7K73jdumH45RdN3qiFgY+Y4Pa4d16E7rrDdaciEt8Dje6zT4iTRFsavEgG/nlRuvr7Q22RmeODLVsuSdNQpYxder2SaLvTPJqArz/kCCbRvP2z1p9Xuw2lz5PWO5qtoGXxOObI7j6FxWtYID09G0899Y9kxv3hh4Hw9xe7rIbQdo5iDRKvIiP6AKTKRu0Ahi3sib2g+ARCiLaC4gZt92hQMfUmG8QToq1ERKkI9CnVR7k869gsTD8wXcq1fbsDDUbmjTIl/dCxdhjqRRSsq18gEAjcGbEHXJjk5gDbvlIvW3PG0nReOvCig9vGw43dgSTkUsM6HSzRAZZpVpzAqWgP8oVo6wGQO48oW8Mx0Zacl/++DIRGCtGWTxXc/BlzE5LgVEC5Y082eRJJmUmoUGsQpi/sKYm4Q2sPNXZ01O3L/iURb/RfbFaCNquRBDgi8Yo+bzN6O3J5E7K3H34pVw4/eAXggWO/4M08irbuWETGyc7NxonbJ1DK18ZBJ02hbzEGqNYBaDbS+Db0fSC3Ho+lsESrx1ipS4WmQJWWjr9oS+5BUvbINaq9bKdgqy0io9iCwEBfc6dtlVYsp1YbwaCFBNucTCZGl62J/EK5tmvXntddV7FWDaCVjQgJrRB3dDFwZQ+w+ycW29BiDHYcpu/xKcTHp+PIkRg0bVoBaDiEbfNMo07Iqc7fP49xsAbN+mn7FItIINGcinvCapnfhuISKMe3++tWH27+/KP4/XcWb9GlSyQee6y57u+7d1/Fd9/twaOPNkPXrna8viJMbqkIeCVehT/kbGYSmeyFCt+IW+eYmE75xaZwgaqA4xGuX1dFW5FpKyg06PiKi7Z8/0GJRyieoq0pPCbBrCDWQdrXCpNOAoFAIFARom1hQgctVOBy+5ztEonLu4BZA5mDacxS60JT9Y7AC/bl+JmVwZCbytJBqUCH1kEnRFsPQOsYswQVAdF6qZ1SzW9P6xmJgPaULZE7j6bUWYs78VSu7ge2fAYEVQBeOllgTzu8rjpYRcUXJNraPDigz4q2mabOz4DS7HOl7wS5y2p2ZddH78Tk2/F4ps79CKk7DHOOLJAOzO5yl1meisjUgit3oev8riiBEvi6x9c6F7NFaPnwZWQJHglweQ/LjabYBCNIsKVTQUIDL7T+0m+jjSKysDCTbTkXLSl/tUyk5efgYjW5Vh3N+Lu8m826oe8plbFlpqBlXRoMoWmi6mNRiZndVGrOTiTe9noH2PuzFG3Q9cIeLFlySrrJxo0XmWhLt+FuS6NtJq0vfFtG+cFn1zOBusVo/e3pfXd9xfxxSKil95iTwQZJaBvr5cv2f6xw9KiaJ7xnz1Uz0XbcuGU4ciQWK1acwZUrLxZrJ25SiTAg3Q+lAzKly3dLldN8c2wQFM4G+WkflKJQKMPdlF5vsanhZDYoQITTVuAWBJVnUS/ajHPFaVs8v5c0U+dw3GGEB4ajVYVW8KaIFnv2JwQCgUDgMKKIrDChg6CRfwLNRtkWbXlWXmBZ5nQ7NB9Y/x47GDJyBzoKOXl/6MJyC+nxBQ6JtiLT1kNKyIj5oy1/x/u8B4xbC0RqMiklB3sAywvkrnZrpN0BvmsP/NjVeumZp8LFKVpGhVQiZPPggByCGz8C5oyw/Blwkergn+z7QUTvQJncXFSp2QshfiHwou0tOUdIZHIAd45HoGV2O/02bqXfUorccpwhxJAAN/xX4Lm9lgVbO9i+/TLmzj2CrKwcyznwVHh2YbN63cJHgHmjmFPQlHMbgOnNgSVP6+MT6DOndTXllpRPzmdOmG3LuWhL2wFr8N9oypV3FBJBSVQ9PJ9dPr8RY+JGYP2YRcpNyAHs0OAgCcBPbmRuVsqp7f+xNI2+Wzd10EopI3NkoIsiF5Y8CWz62L7XQcLG1s+BuQ8AswYBC+X4BYpO0DqjDThz5rZyfv9+/UykO3fIKRyrrGP//CNnVxdT1pf9H8p+8gxyctk2+fJt68vWjJrdgdq9WQyQJWgmVwEXcnLRNiDAByEhUvCDQFDw8O2/tgCzmMcj7I/Zj1c2v4KfjvykDKYTQrQVCAQC5yNEW3eADqooe6/rq3a4eGQx6e/xzO1GkQpGjfeOEneCTRVOvgFc3Zf3xylGCKetByG5I2RhLivVsZI+mv5v0PBukdOr2DQ6miIcYyUj0FOxo2zJFRy9eVRydaRnpysHBxadtiSy7/wOOLMaWPOmcb53y0eYQHF4HrD2/4CkGOA2TUcvAVRpLd3EWxZtczPl5nQ7CQryg7+/t1vGI2iXmS+5HW0dZJHzjn4TbA1A0HpCWavkSLXEtYPAvt/UARQTLl9OQNeuv+Ghh/7CrFkWZovQfX/oDCzSRJWcWQec/EcV37XQ95RK5BKigWNL1OspmujjSGDNG0hJyVLyyXV5tgRFIlABaIPBLGbg72eBKwa/kY2GAY1HADW6wGGosIuLtzTgIGeLXrqjTkWPjAx1Skt348YRKFMmQDq/eTPLtVVm2uyZqY9s4iVkZTSRMnxqMA1gkWtWS+J14OYZ9h6062LcaebMD49iJ5qOTznENjh9mmb/MA4fjkF2tvo93b9fP8ht8ftSTDhx6g7KBqbD24t9ntsP2h4sUj57YugM4OFFQFW27XMXuGhLLltnt9QLBA45bQmt07bt08AzO1meejGE7zfw/TGavaO9Pq8s2HMZTd5ejUkLDjrhVQoEAkHRQIi2hcXO75mowx2ylL1nabSWXFA0tZBPvfQNVEt1qGTEqPF+4aPAtCi19MUWN47qD7IEdmcgEkK0dXO4+MAxcrWTKGXJcchF29smj2PEqX/NBc6igum2qAB5cs2TGPXvKNxIuWHbaUsCYlX59e2aAVzZa36b2r2AQdPV6d/ywNjSSnUw7djPOBR3CF5y2WNOOTsKsjSQuMC3Ce7mtNW6av28mRvPaszEtunATz2AzZ/k/8lPLAOWvwDsnGH45wMHbijC3L59Foo0eSZ1SizL3yTXPBfVjaJ96PeS5+Bu/QI4soi5dfltU+Jw4UK8cvOICJOprjwnnr4jp1cDB/8AYuVSQy1NHwSG/aSKmo5Aru/S1YDsNICK8GTR9nRSpbxFI1iBisc6d45UfsOOH5eL1W6dAVa8BGyepjqSKS6mxVh9WRqPFjEqriJB/ptWwOopmif0Bu77AXh2p3oav9U8m9+EnJxcnDsXryslO3XqpnJ571799+Pff88gJkadSl/cOHnyFsqXYtuam6kB2LHL8sBkSkomXnhhJYKDP0Tfvn/g3DkT8d0Imtn111Ns4KWAyMzMUfazRJ6twO2ctjRbkraRofkwzBQh0ZbP3KGZK/khPTsHienZyJAHUgUCgUAgRNvCgVw6q14FvmnDpmfagpxOdFBKBRD8gFBp+z0M9HkfGP03UK+/eh9y+iVdk9qE7YIffLV7lhWuCGwinLYehKlD1sh5eXYt8H554M8HzP9mr9OWGuTJ9UdUacMyJYsSJFZlJAB+wUD5PIhT+YALiyTYKk5ba9P6tbmMfJDLFMrkfGoL0GUyyw0nbSI4GL8d+w2n40/DW3bX5IY4XuqoFW3zexDjTLRCt58XE23v4q5lAZzP8qhqkHNpSnoisGUac8EavWf+O2OUnyqVDiXZzgIm0ZCcs7xckDJWCXIN09+MaD2OfWfp+7v4cWDuSBY1RKTEYefOK2pPWisrn3WpcOU+ToUchNxte3IF+12nsaWS6ve2WjXniLZE165qNu+mTfI2jdzl9P5o/b64lV1HYu2904GWcqQBR9n/MBFtnRHVJBMdnSCJdqaiviXRNifnLubMKYIzG+wk/cpx/DiQ/fY8t7IHdu403vfbsOECGjeegenTdyM1NQtr1pyTLn/55U5JKFemfJtCsxZoVgLtWxYQWhFe5NkKCpUmI4BndgH3fFbYr8T9RFvonbb5LSLLzrmrDDAKBAKBgCFE24KGnEErJ7PzDYeyduWMJJa/SC4XowNd7tar2oa5VkwPmsgNVqu7viQluJJlccoI+SDR0sG0wBwh2noQdfoAY5cDIZUtO21JcMjNZgVilkRb7o63xIVNQFYKW/8eX1PgblSXo2yLWucrtzRfBwheXorT1urBQYWm5u5MIyo2Yf+SG3PIDOTK0/t14nAeDkLCw9nMCZp2n5iYAbeMR/D2RdmAslKRiOF7pN8PEkZpOciREVYh5y79lh1dJEdNWBJt5WVupSneqkNZ63znIhI5Zy1Nn6bf2daPqZcpwoA7p1Ju6UTbdu00gmNaPHMXrv0f+21W3LkmwhW5z+m90aBNXokayP6lQjJ5O+NVqbHTnbamoi2VeKWlZbF9i3r3sCspasIa/PO7bhJJYDTrhwzWJ+Jw6ZIdA9QW8mw5Bw5cNxNtfX3V3djffjvoVgMkBQW95wsXbqNjtWtISPfDvKP1cfDgDWRkqJEm5GAfP/4f9Oz5Oy5c0H8WaWnZmPbWIiT+XxXkflLLeD+U9lMJMg8UEKKETOA20ABu+frst4Rz4A/2e6edqViMyIXeaVs9pDr6V++P5uXzZ1bIkWNbfIRoKxAIBApCtC1I6IBu/iiWDxgQCnSVxVsSiTZ+yPLkjFrKta3UtpwuHO4Msye7k3bQlYPpRvKBsB3T5Yo5+iIyIdq6NTSNjYQaGiixtF5YEBwk6vYFHv4LuI8VLlikYlOg30dAp4mFVtLlUq4dKJQ8W1On7dc9v8bv/X9H5SBZhDeCBrJoanfPt9gUd1vQ4Fezh5DjH6wciNQKrYXBVXuiVYlStgV7Dykj0zpqQ/1DsemBTdgwYoOSb2v420O/NwF2iDW+AUClFsbRIMlx8mBJCSCigR1OW2uibQ3V+c4FVKNoBC0dXmDO0d7vsvVTE4/ARVsfHy+0aFFRL1qTu5AOzml9tuS0XTEJ+L4TizbIKxTnQe5fLp6HVkOdxjWVP9epEwZn0axZBaXUaeXKswgP/xQPPbQYuxKbsRuc/JdFoVB+sDafllNZ/oyvyFEpVpy2GzdeRIMG36FevW9w5oyaUWsLo9typy2VxnHhsU2bymjfnj0fFZORWFncoMGO09fZ51k6IBOlfDMll7LWmTxt2nZ8/72axdy5czXs3/8kJkxggzExySVR2jcFXhTRoc3tNBNt2faxIFi4UI0hEfEIAreDiiPp2C3uJIojfICMi7YdKnfAJ10/wcMNHs7X4+bIj+stRFuBQCBQEKJtQUF5mTQt8/xGwC+ICUBla6qZeyTi8iIPU6gApfnDQM0e5k4XcjOtfgM4vEB/H+60pYgEW9DB2YBpQIfnWCP09GbA0cV5fKPFB5Fp64EEV7TsQLc2tZfW1do9bbadI7gCc2y2fYoN0lzaXrRcGPd+w4o3mo0q1Py0puFNJTdHSV8r6x05B2lqd+dJeXoeEoc7VOqA929cx4j1nwNn1jr0OOHh6muLi3Mf0ZbydhuGNURU2SjFsezU0rlI+bbR241nc9C6ZEH4cdhpS1nVXEAtFY7du69i5sz9Uv6pGaXCgNFLgI4vyJdl0TYnA5fPXlXEzMBAjXjN8wu5K9dItM3NBW6etR7DYQ/kXNdGHFVogrFjm2HgwLoYMaIhBg92LFfZ6lN5e2HsWNWJTkVsc+ceRddHLiADAWy/gbK5v2sHfFTNPOubol/oQJ1EcyrwI+hA22AbumDBMenfjIwcLFpkkAVsRwkZh0RIEgr27VP3k1q1qoRHHmmmc9sWNyjrNylTHZjqVp19DnwwgpbZzJlswI3GHr7+uj82bnwEzZtXxNdf34NNmx5BaFgwLiew9TL12hn9E9BnS9EnLhBt//vvAgYO/BN//CFvH2RWrz6LTz/drrip77svyqnPKxA4BOV8b/oUWPEyy0QneJSIpT6SIg4fSHd2QaBw2goEAoE5QrQtCOigbumzbMqhtz8wci5QpaWxmGQksjYcAgz+Vn8fOgDlU713fANs+sRcPLIkAhsdLFJeE2XjcjGYO6wsQTstCXbm5RZRuKgQGOiDkiUNXGoCFRpcyM4svOennM39s5lb0L804G3wed257LQ8RglyYPzaH9j1PYoMVPBFxRulrThcXXyAwF0dBfY8iqvTjhI6DdqBnORrF1g0jhsQ4heCeQPnYcGgBbYPtoxmediCC7ymTlsbebZGoq3Fqe7ajOmsVCmW4VpiANq3/xlPPLFcchXahA60fdnBNi9watfO5HvNHYe8OVwRbTXxCIlXWIEYRUOEaiKK8sI9nwKPrgLaPQPUHyi5YZcvH4n584fD39+5cSRffdUPa9eOxuOPN0eZMqx8NCPHB1uuy8Lzjm/V7SGPZeLQdnTUQuClU0Awj5m4KQngkpOaDxrTw+xQoyfWr7+Qp3gE7n6+cycdly4l6PJsSbQlUdvfn71GyrU1zcIt6pw8qY/reLnDXp1oS/+ePcuWZ48eNTBhQhtdXmSXLpGSKHounpkHzuxWHbnK/l5ultNFW4qNGTFikRTRMXr0EkycuErK1SXHPV3mfPRRLzRsKK+DAkFhQDMiydSy5yf1d6GYi7ZtK7bF1E5TMbL+SOky/V5n5WZJJ2dk2gqnrUAgEKgI0bYgyMlkzhxyNY2YxaZpW4ozsEdk5YyYDXR/01hoknMZDbM7rcEPzi/tMM414yx7HviiAYt6KOairXDZ2uD8JmB6czZwURjQ9N717wLLJkhCCKZEA/f9aCUewYJoS6WB5Gr/uQ8biDHlwBxg/+9SRqZV8UqQryn95A5ddm4ZZh+fjdjUWJc9Fz1Pdm42UktXQhqJm7ZK6Ezg24VmFWLR/fBQYO6DcDfo/Y1dORaj/x2N5EwTUTk9gZVgOuq0pex14tZZfaQEF215hrCNeATK4LSYBUyvp/d7QPtnpZKxiw+fRou3myBXduisXWuQp2tEkxHYi36SWEm0b28SjWLmtFUjFRRunmb/lq2V/5xnOvgnp3K/D4Fm7EDYVZBg36tXTcyceS9u3HgZVaqw+Iv5h2owgeLqfut50LV7qYPDRIL8WdN18oyElJRMHD6stq1v23bZ2AVtxWkbFOSH/v1r63JtTUXb0NAADB0apcyAWbFC/kyKqWgbmxqsE21nzVKzh8eM0WR9a+jZswbOx7Pc5JgTR823BRyaKeYkPv98h85R/9VXuzBo0FyMGvWXMjvhnnvqYOLEIpYNL/A8aB+A/w4I0VaiZumauLfWvWhdgUWs0H5Zi9kt8PyG5/P1uBEh/mheLRTVyopjK4FAIOAI0bYgoJy/kfOAscv00x8N4wxMRNbrh1mOpFGjLzlvuZhhJNqSGynMQqmEFmqrvrCZOcEqt2QHbOT4tZThSIIV5fwR279GcYRGlPnBhsiztcHmT9m/R0wiPAoKKlIiqFmesm2NoO8+X/d4bIkpNBWf3LqXdwFX9uj/RusYvc9lzwGXtpqIV2fMi4s8kf8+BBY/AUTvKpSnn9BsAp5p+gwCfQLxw6Ef8MmeT3A12flu/5xc1Wm7/NxytD3zE14qX85h0ZbHI7zddQe8kQVUaWX7TvGXgB+6sMGBAihUove4P3Y/DsYdNHfH0Pd97D9Av4/14pwtAsuoA5M7vlOv7/8JMGYp0PA+w7uR4BoTo/+dsxiREF4X6Pi8lFFLJVr3DVuAmJuqk59yTe0qpBr0Jf63+15cSQw2LyEzctqSy3ziEeD5A5oXKU8lL1cHnoqfnzfq1WOZuX/sq4bb446y5at1NduCXMjdXgdaP65ctWfPNUVIJ0iw1Za+WSIrKwcXL7LM2jp1yupyhvfvvy49Lhd069Zlr/uRR5oaZqEWB06dYgL30PmDkFG5IxYmsAEiciXTcpw/nw2+0IwgSzED3bvXUJy2GTHn9H8kNzllXlPut6nrOo/ExqZg2jTm5Pf2LiHlSfOM5f/+Y9vaSpWC8dtvg0WLvMA94L8DfDCP5zw7cSDDk+Gzk/JbBvlgm2pY8kxHPNW1lpNemUAgEHg+QrQtKMh5Ur2T5b8rxWEmoi1Nx/mxGytCMcJSeRKJti8cAsYut12I9O8rwKxBLHOQRoypTMmaQ5A7i4rxzgo5wMgJRginrQ0Ku82bi23WxAeaYt14BFCjq2Vhl9bhun2M29Vjj7Pp8xR/Uqsnu44eJzyq6Lhtjy9lwnuK892t9hwMPNX0KYxvNh4BPgHKwQEXWJ3JB50/wOJ7F6N9pfbK8+RyQdWB7zJtF+qG3cagerIA0uQB23ei78n1Q+xfFxXZ3Ui5gb6L+mLo0qG6qAkeC6FAESLVOwLtnnb8STpOBHwC9DEkFOlTs5tF5yaVS/Ftqr1ZwHRwOH78Cl3hEpGQkKGIfrbuz0VEEtlr1NA0gxs5banQjoQrv5Lmv4f5ybN1A2rXZtu99GxfnLmcwwpJrW03ad2jgao/hrG8U1ou3V4FusgFqxqnp5YNG2xHJFDJWI48RZZE2ebN1UGDVavO4coVlq/asmVFRdDr2bOmIvwdO2ZSFFdMnLb/XW8Ev3ErUKt5I+Vvb765QYqVIIYNi5KEbkvbq9yQatL50Ls3pPVRgQbzX78GPLLCaa/5gw+2IDmZDbQ8+WRLKaqjbNlA5e/0uc6Zcx/Cw4uni1HghihOW/l3oZg7baMTo7Hx8kacvM2K2Hjcktm+hEAgEAjyjRBt3QVLGbTKAaGBi4eKjg7Mlu8v70w4Supt5qIgIhqaTOu2kGvLC2Wk12vB6UbOQjfJcHQFooTMAUgQ5XEehYGp+LB4HDCjIxB3Su+gGPYTc8Nbg+IVuGirFfDIrU7U6g74BxmUMtnIiHZ3aDsRd8LxqfIughdoaWMTnEXloMqoW6Yugv2CVdGWjkUyEtlysBMSGyZ32AvSlA6kNmcuTYKXmBjBvycUJeCiMsjMnExcS7mG6ynXXbcsa/UAXjwO9HnP7rto82ztKiOLO40107/CqJz/w18jlqJ1tTs6FyG5bW1x5vQt3E27gzIBaZLL1izj11S0NUJx2nq2aEuOVl2erDLYZSEegRyXNPPg7DrzmQcGebaOiLbaEjJ6XdWrh0oRCIRpNAKHBNtatcrIr/+WzuFrD5Mnr0GFCp9h8WLPcummpmZJjlqifv1y0ndY6xinjF9b0Qic8IYtsPpsJDZfqqy4XXWDliTMG0AZ0rTsvvzSvsFJGlCZMWOv4v79v//rgm7dqmPXrnFo2jRC+iw/+6y3dJ1A4H5O21jW0cBnpxRT0XbtpbV4bsNz+OP4H7p9ifw6bQUCgUBgjhBt3YUGQ4EJe/VZm9RWSgVOlg4Iqfgkv45XnjNIghZNH7cni5NKy4b/ys6T+8wUEp6/agr8OQJFFa2YUK6c6g4RmEA7b4UtapiKD7EngJijavGYI9Tuydy0tF5y0Zfa0ynLVivqcmwNgLg6yzfphnOczlyUCauj5noWIOSoPXX7FM7En5HERS8qRCsAR4ciaNJnTjgQkVA+4A7GNGUC0J+Xe7Pv3e9DgAVjLd+Jb3Op0GmvvI11cdGaIkxrRVv67Vn5GnD0LyDHvgxSHSR+krOWc2YtsPZ/wIUtduXZ2iXarnoNfePfQu9a0RgadQ7vv90Bo0apJWem7lsj0v99C/Gvfoe3uu1E+/YGWdYP/wVMOqGPNdo2Hfj7GSBGFvc6TwJ6vaPGoXgodeqon9f5MzeAq3ttFzNq9xVoXyLutDIooXUxk+DKReFdu64qDktLkOjKIactCZHNmplHdGhFW35bIi0tG1evMjeuPdy4kYzPPtshxXN89NE2eBLaZUWiLdG2rXlRJGUWd+9uXQRt2L0b+s0Zhjc3dML69fblQickpOP11zdIy+7FF1dj9eqzNu/z1lsblbK4iRPbomLFYMXtfeDAU7h5czJefLHwBwcFAotOW4qRG78DeHwd4M/ywIsbd8ELw7yd6rT9fM0ptPtgPX7YZBLTIhAIBMUYIdq6C3SAS25arUuPHIK52azhOsSgrZ2Ei97vAnX6mItFBOUiTqsP7PvN8vMaNXrTgVj7CUAPueTMiLr9gOf2A88YCLvJNwAqtbm0TS1lKmJoxQSrmbYumL7tUVDcR2YSK+GjrEsHnIpOg2ILtE7bYB5Fojq2JOeEPeIUNWfTFG/utk2LB2YPZTEl5EJqcK9xsR9NeTfKpXYllFM9rR7wS7/8PxYJjjZKpFxJclYyhi8fjvuW3ScdELjSabvg1ALMODhDmvqniMNlIoH7fgLoXzsJO/Mr/LxzseliZWy9WIENsp3fCJxeqQp+ltzMpjE0ToQvM58SrDSLL0vdgRY9964ZrHBSE6GQJ6iscvlEYNtXwNm1TnPaZofoP4s+Q9vqhD17nLanZCNo+ZKp5nm2BMU7UNQQrfccWu8PzmFFa9xV3Gmi5cIuD4tHIE6dTQa6vgY0GwVUbGb5TtqZBJTn/W1r4Ox6JeKAcksJWrZUekZQBMbWrRby8g2dtkyI1UYkcFq3NhZtTR/DFps3q4PPJ07EOezSdZcSMp5LTCJoZKQ8CC/z8MON4e1tfV3u3DlSiZhYv17+3SRH4Y/dgb+fZQOBJixbdkoRYImxY/9GTIzlWVZHj8Zi9mxWjFamTAAmT+6o+zsJP6VLM1e1QOBWBGtFWy8gogFQtbXTcp49DR5PVQJMrPWSJYX87pfdScvCjcR0pGi2KwKBQFDcEaKtO6ONRrCUb9jxBWDUQlZ2ZkpWGhPNEq7YIdo20QvIfacCUQZCMIcy/ajkTG6J1lGpORBen52/XASyPG06bU1E20vbgfkPA+9HADN7Fn6ma2FCgk+H5wEShKbVBXZ9X/iZtkp+tEbU+X0w8EFF4KJcImaN+gNU8Wb9e0DsMebAGP236lbnUNb0PZ8Bj61hGZ+Fsf0oXdl5j1WuHgoDraBIIqOSaesCpy2Jtt8d+g5Xkq6o4jCVLNEMA3tdxhnJ8D7A3Ncfbm3Dthe0vWwwmP1925fm97m8Wz+oQAeGabZzWR0lmwYCjZy2VDBpNJgnC9d54tRK4KceagSP9ncmn07bBG+1nEqiZDlpGn1IiL/dou3+U+z7Uz4ozcy1aRH6LhApRSs3tWbNMspuhuTe7D4FGPKd9c+fO22v7FVjaGRnrjbPtl27yujRo4bdEQlSPIOJEKstI+PuXXrNzhBtN21SHfQpKVm4fJnFDXiaaMudtkTbtvpBiNGjrUcjEJR3Sy7dIL9MXL90gy2HuJPAtf3s987XfFYRLznjkOP2kUeWWhS+f/hhr7JLNGVKJyX2QiBwexoMAZ7dDQz+trBfiVuQy9L+lf0kZw2mZ8vbDm8X5foLBAKBJyJEW3dik9w+z5vm81twwsUp05xco3xardPWGif+YQIXnw5uCe4w9PQsTwvE30xExaBkY9GWnGUnlgPZ6cC1A8Dp1SjWWc2Ua9nrbXaZH9gXJA8vBsYsY4MJ0mvi64XstCW3ALnmcjKtTwXm0FTp4EpApRZAr7eYEEeCLYlyptBOZ5sngCot7XdjkOOSBDx+IkGE3E6Owrcf5NLXCnKWoEEeS9sK/ljhhRNxoT0IIJHRlU5bJT7Ayyvv4jDNmHh0JX441hmrz1VXxUdyZBJHFplHLURvZ//W6a1+R7mbU8ud6Hw5+Pky48swyC8IQb5BylRHnWibX2c1uVBLyTmANkVbx5y2sVnhqkZ+118aSKTyIsrEJC5fTtSXKZmQkpKJ/SfZelW1bCaCg+UIDK37/q8ngXXv6K/nwj39TtNyOr7ModgMdyUgwAdVq7JBp7Nn7ZwRQfsmgWWB7DQgXR5gkLehO3ao8TPt21fV5ZPaEm254ErFVLycytRpSyK7aQZx3kVbfczT8eOeI8ifOmUej8CFcu2yatBAXV+s8XXP5Uia8g0ea36UfU7aARyT5R0fn4Y1a9gU5goVghARwbI9V606i6++Mh6wP35cFZkfe0z+TRYIPAHa9ofXAwJDWbzWpk9sHwsVYfi+BN8OlytZDt2qdkOLiBb5e1xZtPXxFqKtQCAQcIRo607s/YXtAPCc2PxmgZKwZK0sjIrMeC6nqWhLf6OpvLt+1DtFL2xi18ccY8LDkqeBU6v096VcO/54lnJxPZw28d/i2ks/omPVq+airanwtfWLAn1tbgl3uRaGuEGxBTW7sh1tXTyC/DnducQEW3LCkjPWnjKKSceBgZ8zZ+2I39k0OWdA4uz3nYCfe6sncmt/3xFIdlBI4NuP7dOBBOvTkSWoBf7z+sAtoxyxEizDrZByifk0PC40vtL6FfzQ6wc0CXd+XINW1KxQsgL6RPZB2/BmwJl1TKCzl4pNMOvqUGnZUXt7VlYOGzio2Z05z7d/o789j8Eh9yIvnjSNSDi3AfiyMfDPi/l+fzz6Yf3967HjoR2oJjfHK3EejgzmWcLHH2j+sHrZaGAjj6LtlWR1On+al7xum4h71ty2VGh1I5ltuyOC1GJJBYo8OTyfnSw5bY8sBBaMBnYUDecVz52Nj0+3Kngr0ME6H6Dl32GKwZGctup+R5s2laXfSS6o799/HbdvGyxzKY+WnK6JZuVo9eqVk4RlTqtWJk5rM9HWPuGZvmPHjum3rSdOqMKipzhtvb1LoFYtdXn161dbGsQgnnmmld2PVy6SxY7UKnOHRSQoA/vm29qlS08hK4ttTx58sCF+/522d4xXX11nuP7xAQES461GSwkE7gz1Gvw3FdjxHYorpgPATcOb4useX+PFlnnfP9E5beXtl0AgEAiEaOteKNO2ZQdgy0eAPlNZ+VFeCKvN/qXpbUaQCPP4GmDQdPPM3IwkYM4IYOVkNt2fw52zdKBGguyhucDlXerfSeCl6bArXmKXyWlqkIPm6bT3Xin92yQizly05Z8fxQJQjiVFRGiXYXHixlHmWCtM0dYUyqjUirZc3KT1xV43rCPTtkiIPTgX+GeS7dxc2gnu9hqLlaBlRuVpfsFMvPtjqP3T5aUCOHlAhki3o5SHMqiJA6wJWMe4tcAbN4DwKLjDwUGz8s3QoXIHlA0o67LnIpdtw3INMa3bNDxXpTcwZxibCeFA3Il223DrVppaXEUcmK0X4ru9ygYDmjyoiuOmou3umezf/bPy7Fr39fZFzdI1ERlsIZ+X3p9R1nle6fwSEHUvK+uysn5RGZQjou25+BC9OCxjb67tjh1XEJvCXJzB3knmbnTabmnLZ4xE28IuWXQyWpFUG1FgFa1oSy7bEiUk4ZUve3J48inwPCKBvmLaSAIt587FG4qwlLXapIn6WRjFWVSsGIRSpXwdctpu2WJepuopTltypHGnLUVF+Pmp61dUVDi2bHkUS5Y8gEcesZJLbELFBmydr1kmQRJt71qZjbVggRqNMGJEQ/TpUwsvv8wiM0jM/eorzb4h/QylZyvRE9oMZYHAI6DfCHLX0vENxRcRfsxdXhzR7is5kxzutBWirUAgECgI0dadUByA8oFmtbZAhwlA5TxONZHcfyWYOGXk0vP2Aaq0AlqONRehgsKB5qPY+a2fs3/TE5jDlqjaTi1e4UVPpsVTJcNYkRrFBRQlaFqUNBpcArMONURYmEnOG//8yFXX7KHi7bb9cwTwWR21kC4lVsr7LDAubgM2vK+U4yjrmX9pJoaaZke7AhKqVr4K7P0ZiDlq/baUTd1iDPBWPPDCIeCFg8CTG5lQREIalTnZQ+otVpLGybAh2mqFSJp+bwSVMuUn3zQf8HgC3lJcIM8lC8QSlNFNg1w0BdxaRjhBMxCWPiu5YrWibVycXERXvTNQuSWLTzEqiaRlrIi2sijI0Q56bP/a8TdHQliZulg6ZClm9pUFYFPo/dH7pPfLs8nzA0VFPDBbjYawkWlLAh/PpbUm2l66rkZEBJTIsCDaxqhxCrEpeOaZFejffw7atp2Jjz/ehpupbNvtRdl82vWF4AflZqKtJh7B1duOAkYrpNkdkdD6CWDgl7pohH37rkuFY0T79mrkjD25tvoSMr2w1707G/wjcbJDB/NZETRNlwu9Fy7E6wqy7I1G8CTR9urVRKSmZplFI3BoGQ0ZUt8sRsIaPuGsMK5WmQRcu5aI3GvGoi05sdeuPS+dr1attFLk98473ZXdSSod00KfCf+pEaKtwOOg32b63d0zU40uKsaibfeq3fFm2zfRO7K3Ux+XO229RKatQCAQKKhzzQTu4wDkWZv5hRqvy9YEbp8DYo4AQT0cuz85RUlUOLsOuH6YCW40skoOQHIFG7kn+UEsCbpNRzLR1tEiJJqeTQfKdLDvKGmy2JCX+9qL7Dbef708UrN8zaf48c+PPk9ahhR5cWYNyyet2sbx50uKYVP7NW4yj4Dc2jyagwYeaNosCSMURxDRsGBeA0V5bP4UaPmo6ling88pGmEyv9nRtiChkT73s2uZO72S/a4n9rpqs8zcPT8B3V+37z6mDk1bTttMWVC0Jtq6kaNjy5UtiEmNQesKrREZEunS56LLuV7e8CEBk0R3Es9DrcRonFwBHPsLCK2OcIpVkFEESDoQ6fF/TBylcjOC1gsaSOCieNQgoGIzvRhIt4k9zs7TtrXLZKe83ylbpuBm2k280fYNVC9dXR2Yo/dbQNucu3fvKvEI5JbMyMhBYmKGVdGWbj/mQD+kZvng/d9fB5eXGzYsD19fL8npd+CAGlXz7LP/YtEiefkpeGPeicZ4YHQbuf/aZLvL41CMnLa0bePrSpFx2qrOVqmMzB6olJQPVBrk2XIxj+jSJVKaxp+TcxcbNhg7bbXPq3XaaourqJSsYkV50M0Eus+BAzek5yCRkGIV7BFtabWkKfvkiKd4BPpOasXOU6duSoMJlp63sEvI6tXTL6s8I+/X1SiTILltvbOS2YwhyvLU8PffJxVh/v77GyjLqmRJX9SoUQbnz8dLr0+7HLUDAbVr60vkBAKPgH4PaBCc4hEIPxcea7g5FE+ljajaeX0nxq8bjzqhdbBg0II8P26l0gGoXyEYYUEGRdcCgUBQTBFOW3crbeJuVRJCj/7F8mHzQ43OQI0uTMg0Zdt0Jsry4jNTSHhteJ982y/VfFreGM1FW+00Xe100S4vs6neJBxbgrIqqbSLTxsnG8bGD1mWZ15Ewm/bAD90yVdRj72i7Z30APSpe106SFGg188PYOnzlBrjh5gLZzT1lucJW4PiJT6PApa/AI+DOxFI5ChZtnAiErgLnLvCCdPR+4KY4mxPMV/McWDnDDXTWkuFRsCgr5jb1R5KlgPaT7DfaUvbh1aPs/PBJs5Ccir/2B04vBCFRbBfMB5v9DgejmL5qLOPz8Y7O97B4TjZBeYip+2u67vQ9PemuH/5/arTjEcHGEHrP/+MI9vrnLY6AbJWd6DFaFUUpcKrT2sBJ/9VB3xopgWtNxwa9KGyMIrxGPq9GqeTT/bH7JcOtpJohgRRty8w8SgwpOCy+pKSMhXHIIlifLlR7mlOTq5F0Xb24QZYfKIuwmuo6ze5MHnpEolGNFWf3JuLFx/XbQJI/COh6+6QGShB+dSlwuxz2lZpzZbP/b+xbGI6aOezZIqU09bEeWwN+j53fwOod49Znq3WaUuiJ481IDfrkSOqE9rYaav/TEqXDsBrr3WSpuFbwpEyMsqaPnSI/V43bVpBeW10vTauY+3ac6hf/1vUqjVdmd7vziVk+aJ0Vdwt4Y0Anxw0jYjDlbRwoHwDs9+eBQuO66IRtERFsdeSnJyJq1fl7YqZaCuctgIPhP8eKKJt8XXaGpGdm42sXPZbnlem3BOFVRO7YHAzBw0/AoFAUIQRoq07oRSHXWPu1kWPAmv/L3+PSULP2OVMuNWSncHEGBIDTaeFauFTWo8tAQ7+aSza0lRa/hiOThclwXb+w8DPvZjgkZXKyl3IUZZq5/RMzunV7ECbnMWUN+gqZPG6T61LWDx8sX5qOb3mHHmqLj+Qp4NZKvHgIgvlm35WF1g1xb5yOhIGKDuYRGlPwlQMJfG6zVPm+cmuhAvE/LtqRP0BQMOhzsnvtARfZ+i7YykT9cgCYNVrwLq3bbtiSdzlkRNGhNcF+k5lWaL2OG0plmHANOCtO8ADf5gPHFzbD2Rp3LgFTJmAMpjYciImNJ+gK9HiAqsz+abHN5hzzxzUKF1DcdtKz6OItlaEYnKR06Cbly9QqQXCw9UDuri4VMuZxxTjkXbbuhBL603b8UDTB/XXO5CxSxyKO4TBfw/GxP/Ytl33HhVFsypQsSkKCh6NwJ22XLSlt2apsIrfh0Rackhq4REJ5LakkqnPPtuuLKapU3sgK+v/EB//Kk6enICRIy2s98kWnLa+gWz5UFEZ/60rItM4KReVvxW7nbZ8UKrrK0C9fpKzkjttSaSlbFUtI0c2Us6/884ms4fSZumaxiPYg9Zxaku03bo1WvledOlSTREbTSMSfvuNFfOlpWVjxQqTyBI3cdo6TbSl2Cx5JgHFh1SfNgZxg5fqbkJRL+vXM9GqevVQtG6tzxfWvhbtaxSircDj4b8H3KxSjEXbiwkXpYHty0lse+8lSwr0GyAQCAQC5yJEW7csIruhEbxclJV37SATF8mRxwvLjCChonZvFotA00EpB5QLULSzUqq8Xhzj7lEu1FGWLgmzcg6sDvph51mv9Bx0tEiPGVLFOM/RHtGW46yICVO0U5Rp/803k2X9csgZ91o08Owe1UVH09uf3qJGAlCOMDnmLmzW39cIKonjIf8k5HsSpgI+DQDc84nj8QD5ge9Ym4q2q98AvusAnFoFdHiOueZMpn86FYqHICEv+YZlpzFNq+cisjXmjWLi7u4fbD9vgFzWlGGHO4zWPyPxydXxEXmA583yKANnUq9sPWnKX0nfkrqIBLtEWz4bgb7jfiUtO221+bfvhzNBnBybERoBkbabNLATvUt1W/f/SI1FuLIP+GMYmwXhACmZKTifcB5Xkq7ocoJdsSzthUcjmIq2hKWIhGvXkpTbm2Z2anNtV648g1mzDiki4rPPtoa3t5e+XIYG20xL/iwVkbnxepFfAgJ8pHxSLp7m5eA7OjpB+Tzbtq0ML5MymSefbIkKFdiU4sWLT+Dw4RhD0ZZuExzseDyHI05bbRla167VFYc2QREJBC0Dbf7u7t2qi7iw0QrLtmIgHKFEg8HYld0b8en+0sDHX0vlWTMyS5aclK4nRoxQoxFsi7aqQUCItgKPhP8e0CBrMRdt556ci3FrxmHJmSXGA8ACgUAgcBpCtHUnaNrlhH3AExucf0BIYmOOZsoKn8JLDhlbLiFqOychdcDnwGuX9EKyJIaVABLl7EBFbJYFsL+fZk7aUyuN80avHwR8AoG2T6nX88c3zeW0Br03rWjLIwqcTWYq0qIexMoz1REnN4/rioloWQaUZk5HS9D7o8+VphCdWWv9+ejx+DR3Lup5Cq4QNUhEoAEAe8QEcian3jQWbekziz1WcFEN5M6jYjqtsKeFYlBoeZGwW8dGNAgVBxK7frBc6kaCHjlx6TnrD7QeUULQ+ntmHYtoIHi8SGaqOuBSiOJURk4GohOjcT35eoEeHHBxOIeWBxdtKcfUVOAz2q7SIjMqIjMSBrmwTy43zvFlwM7vgEvbjJ+Lvi80kLPjOyDL2I1qBF9m0jJMuKJfljSIRIMCGz9iYmahOG2DER5uXbSlginKHuW3N6V5c1W0/eCDrUoh1fjxraQp9jpWTgY+qQHs+FZ//aP/ApNOALUMsuA3fQqc+w/o/S7Lyy5CcDGNIgIsuZyt8ddfJ5TznTpVM/t7YKAvXn21o3L53XdVty1FEvBYgry4bNn9tKLtbbtLyChvVyvackGUxFttVIK7iLYkjm/ezF5/5cpqpIhT6P0ufO/7Gkdjy5lFIZCI/cMP+yxGIxBax/KJE3FmTlsaPHHq6xUICtppW7Mb8NgaoLUcK1UMMc3/5//eJVNKPnhpwSH0+Gwj1h03j88RCASC4ooQbd0JGrElVyaVaDkzZ/PHbsDH1fUOMdN8WmvQbajFnnZOyJWlFXlpKvWbMUD9e5iQ1v5ZoMUYVXi1luW59XNVhOKN3ITSnO6AaEsuYF54NvYfILIDXELpyjgU+X+458/7EJ0giwV8mqwjcDelPUIsiW7E6TVsKrWnYPQdpsEDXnSUF2h5fdlI/e7Y47KlAjQS0o1K/67uYyJcQQhUfF0w+l6f/If9W7Or+Ws1hSIPytZisST7Z5n/PSsdmNkT+LQmu+2Dc4BGw6w/Jrm+5wwDZrQHvmrKolkIihqhHXBahiWdVHSTB87eOYsBSwZg9MrReqetCz63P47/gV+P/oqEjAS905aWwX0zgSc3Wi4fucRFW7b90YuPaZYFeOnGvErLdDt4hn1H6TMiEZ3TeDgbTKOCSB5d48CBljcJz180hHdagnr9jaPsu3jgD7UUzQ2dtloRrVIlc9GW8kk56enZSozCCy+0NX9ymm1CmEbqUIYnbSeMSi2PLgYubmEREpF2/IZ6EFqxVBtVYC9//HHEqqBHPPWU3m1LubIkEPfvP0e5TdOmFhzONqCs4vLlSynlYZZISsrA/v1sEKhhw3DpO6eNcuCiLY8B0F5P9y1svv12t+J2feKJFk5//Ob1/JA45TtsHDsfWzefQ0wMW+dWrz6nLDcaHKFSOFP0TlvmdqaBk4sX7ygDA6buXIHAo5y2NMBOufO2BsSLMMq+hLw/pttfygfX7qTh/M0UpGYJx65AIBBwhGjrjlBmpZKX5wTRNiBUX6BDQsdlB0Rb2rm2VIBEpUU8BoBu12ECcO/XQGCoSZbnDr07kpyAJEJQARIJvVoUp60D8QjkpHxmB/DKBVa+xp/fBVArMqGKtlf0B/PLJ+pdv9aEWHLaUr6wEVQSRy5lcotSDAVNcSehwF4oi5TcmFf2sssFnTNFn2u7Z4EIOcOQhCcaPPiha96L4kKrsWWx/l3bOa38+86f36j0j3Jkv2wMrHkDLocc0y+fBXq9lfdoBIIGTjrKxXTbvzH//nChlcRf3nRvCx7TQcIkuY+vHzaJO6lXqLmdXJw1PThwhdP2u4Pf4fN9nyM+PV512vLnaXI/cy9rHbFasVyiBFCViYM2p/nTQN3wX9jt+WdqNOOAtiuzBgFLNDMSaJtM0R7E9ulqmaO9Tltyf/uHwEuelSBdz9cZV+Y723Dakphna7nxaAQu8hoJd5S1qWXs2KaGrlxlwJC78u2B38dSiacHo5227lCureyq5IIelXpZylklt+1rr6lu29deW48+fWbj4MEbihA/ebL697xGJNBggCWBdfv2y4roSS5bgrKRIyJKmYi2mqJV+WeUv8fCIiUlEz/+uF8ZjHj6aYpcci4lruxGsF8GqoQkIzPbSxLXialT1X2QN97obCi+hoWp0TA8HuHSpTvIzWXLW0QjCDwWKlt8djcwbCaKO7lg+2V8G+As0TZH3k74mETrCAQCQXFGiLbuxu6fgF9ZA7PkbNO2h+cV09ZzEgHI8ehbEqjYBC6lkpzlSeU8JNpxtslZto3vZ0Kclrw4bTnOWF6WIHHs2kGcP8sO5qITQ8ydtiRE7/sVuMoOqKwuFyoqo8Z2uo8R5KylXMtb55iT2b80W472QoLwylfY6yERec79Dk2jzjfNHwb6faBmNVOREon0FAuR18xhEmC5IE/vyxrNHgImHgH6fWS59I8TZrmN3GnQAEdQuHE0wVVZWJfb121CZVRBFYCka8DhBZZjKWhnmlQGWw5tLtpGykJJ/AUmirs6WzsvU/pdnGnLn4uew6GDECpzm7AbeOU8UCpMmQbs6+tlOR6BIBf042uA0nKWt5HTVnHwmgyy0awG+p0gof343w69Px//EGlAj5akD7xYfqki2rr4d8GEGzfUZUPCqi3R1rS4zAhtRAKtBi+/3MF+AfbcBmD+aGD/bOP7yDnAOKg6Q4sK2ngBbXGUPcyZo7psH37YuvBP2bb8s1u16iz27buuiPYbNoxRsnXzQt26tt3C2miErl2ZaEvwiAQqDoyNTcHGjeYROoUdkfD774ek+ArioYcaIyLCgvM/r5Djfi4rPDx4gy2PBQuOSXEMVN7GIxCGDo2y+BA8IoEGWBIS0k1KyMo49/UKBAUFHWNQ/8GZNSyaiPbPiyk885zvJwX7BaNtxbZoVj5/vRU58uN6C9FWIBAIFIRo626cWMZyXp2ZIclbwPkBecxRtRDLkoPWXhKuAn8/Ayx8hOVh0s6+4jgjG0hJtXjq6CLmBiMBifI2CVN3GX/f3v7MhWbP9GcSoPm0YXK97vnZoenCdkNC7I9dMS7jactOW56la60FnqCpx1ygI2HWFNpp4ZESFPXQ8y3glXNMCLUXHg9AbsslTwNn1wILxuqzjQsSEjq4QJ+XLFlaJrTcOrLWeymDUvtdM4WUGno+KnAyxfTz4RnMhQHFlnj7sUxr7gC2BbnbuUN921d657I2V5qK1t4rB/xmw8FLUQsETfUjcZ2gGAtyY9J1plP3C2saniyWjWkwBl92+xJdq3R12XN5eXlJByFdqnRB+0qyWEqFVXtmAhs/tmvgiBwoXIC0VKhlEVrudDBEDvszq/URG9rta1u2PcLWL+1y0ysCOA2gdHweC67dwIH4XHSs0Ba4cajQnbb2xCNo4xSM4hFMy8juuy9KV1Clg7vRtfEIJJLTbzGfkWJKUowq7hYx8hqPQC5KLtp6e5fAgw8abHfN3LaddNdRnMj69WPyXaplTxkZTfPXlpBxtLm2f/xxGAkJGWbX797toqJTO5fzV1/J5YSAceRHfgmtqpy9XYL9VpJg+/LLa5Trp0zpZFYyp0Xrsj516paJaCuctoIiYLBZPQWIVTO8ixumg+k1StfAzD4z8VFnA6OEA2QLp61AIBCYIURbd4M7AGm6bOeXnPOYitP2KBN3KAuRYgQGyG7X/EA/1uQ2otKcDe8B33cE9v6ivw0XGmhKe0Yi4OMHPLYSeGYXUN7AqUHC1RvXgae32JeruP1r4JOaTLwil+GKSew6ZyOLqCfjmRiw8WJVZHR+A2g2Sr0Nd5CaOjmNIJfckBlAr7fN/0bCG7XTUkkbud5ICHJUYOfCKLlTKXvYJ4CJP1umweWQgE+t96aFTWVqyK9NP+XULqggidzC5eszYTE5Bjg0N2+vj1zOWgqqZItE1N8HA/99oF5Xty9zZw753rHHavUoizOg5cGdsrpIgzpMdM3NZuudNfj9KVJB68zvNBF4/gCLPXGjg4PG4Y3RM7InqoZUdanTtkpwFXzb81tM7TRVLbdb8RKw+VNz97KFASYuQJJzjztT7IKcu6GqAxC+pYwdsK3HsYzdmCPA2fU2HzbAOwAV4YNycWeBqm1YpivNgjg8D4g9WUiiLRNhAwN9zEqKjLKA9fEIxqLtsGFR0tTxkiV98dZbVsR9I9HWluPYlTM6CpkaNcooSSiOOG0pboBnlvbuXcsu9ydlsVapwmashIUFYsOGsTpx1FWiLcUw8IiDli0rKvm6piVa3367Rzn/zDOtUKqUb6E7bVevPiuJoES3btV1gxNOQ5OrXqFeA+lf2nTt2cP2byh6xJYorxVtKTZDiLaCIgMVUV7Zzc6TuaSYYlpE5ixy5H0pa4NCxZWPPvpIMgNMnDhRk9ufjmeffRZhYWEICgrCsGHDEBMjStwEgqKGEG3dDe4ApNxEWy3y9hJWm4l/WSmq+5IOOqn0LL+QwEpiIAkd3HVkKoA1exgo35CV5mh/3ElsMoKOGPn0U1MWjwOWPa++D54Hmp3GhFIuluZ1+r015PK2DWdZEcHV3Jrw7/kKULunehseX2CPY5IcyDSF30gA4C5bckOTyM2hIyd7cxS5MEpCafWOwD2fscs0nd7V+bbUev9LH2DnDPPsYSOnLYlhySZFQKaiIk1Ho5NfsJrlaeoy5ZxaCcx9yDw6wEi0JZcrbwR2NeRoPb+RrStakc8/2PH1ke7z/EEmyGu/Q9p4hAA5wiM9L6Kt7Lp0A7RCaqEeiJBzm5YRRXzclMVxgmJHPqnBcmfpu6whPLyUUsSTnOxgkaB2WyrNjDDI0qXPvtsUYNB0ludtg25lGmLNhQv49NxhFq3QTnbqLn2WvS+KYTGNrCkgpy0JsFp3cn7iERo2LI/Ll1/EpUsT0bhxhG3RltYBLsTbEm0HTAMqtwRGzkdRIyDAR4kmIKetvQMN5Eq1NxpB67Zdu3Y03nuvO3bvfgKNGjlnO2xLtP3pp33K+XHj9CVeWtGY59cTffrUknJ6iejoBKWYq6D58kvVZTtxogtctpwe/wfU6IJaw54x+9Orr3aEr6/1bbFW/KZc27Nn1WUpRFuBR7P7B/W8pVLSYkD/Gv3xcquX0TqitVMfN1vOGhdOWz179uzBDz/8gCZN9PslL774IpYvX46FCxdi06ZNuHbtGu67775Ce50CgcA1CNHW3eBikjNFRxJAIxqoU7GdCQmsXIjLTjfOvyRx9pntwKRj+SsIowiEY0uA/bPYeyLha/UbQNxJlpVKIjcXS0kcc2Z+q6a8bcVRdlBXq5bJgYcU+yALj9Q6nh+4aKudDn39EPBVU+DX/rbvT++dC8hlZXdrg8FMoKSiKu7GdBWWslD5a+GiO7my/30F+LAK8J/sZrSUz0uCEolY4XWZSzmwLBOmjy81vz05Dk+tsJwtTNPK75+lCjMFVbLFP08qiftzBJtilx9M1yf6nt46y87TsqLcUsKm0/aOWlrIRVv6vhV0eZ2NIjIupB69eRT/nP8Hp+PzkHvtoKtXB31PuJDHhT2Cvme0DOl7b3IQZ7OMzBr3fALU7Ga7NJKc0C3HqqWQ1ji9khXVVWwm5eh+E1gCz1eogAP+8uAQff4FWDqXnp6N+Ph0nQBbpkyA8hLyGo9AlC9fSrf8DaHvfIMhzLGck8kiMBLlyJuIhhYeOAp4YgNQrx+KIjzXlnJTb92y/TuakZEtZZ4S5EYdMsT+OBVyZL75ZhfUrOm8nFP6bebfH1PRNjU1S4lxIBc2ZcJqMXL6Vq0aIgmNbdpU1hxAq/to9B2dO/cI4uNdmxl/7Fgs1qxhsQ41aoRi4EAXzhDp8jIwdjkaNK2uWya0jj7yiO3MSq3T9uRJNR6BlrnW2SwQeBxBmkHAYuy07VS5E8Y2HCvNfCIuJFxAh7kd0G9x/n4XK4UGolrZkijp5/pBek8hOTkZo0aNwk8//YQyZdTfyoSEBPz888/4/PPP0aNHD7Rs2RK//vortm/fjp07LcQ7CQQCj0SItu66M0B5es7MHo26F2j5KBNtfxtoHmGQH7hoS5DrtrQTpiyf+Af4vhOwXJN5S2VNNNWbpsaTKPnnA8COb9jfqndmAha54KhgzZnCNwlGp/6VnFg53iVxSC7mqFWrDJtOTIVh5NKi6foECaPkYLMHckBSlMOix/UCmZFoS8uZ3hM5KeNsiFW89I1EO5pCT5DrsoY8TfjkP3ApWrenJactiV7/vKi6FrQimCnkpibqD1B3lNs/AzQabhyxIbuizTJADYXlAopGIGi6O7nB6XtMGcNr/o/lQucXWp47v2eP2+c9lnNaJlKd5pqZbOxI5rQdD/SZytzfJEqS0z8jGfi4OvDXUyhsKpSqgIfqPyQ5O4i/zvyFKVumYH207TgAR9AWjpGr90rSFbT6oxU6ztU02Sui9mHj9dVE8ORt9MTVq3oXrk1ofeFFJ9a+y1psCe20bSXqD5T+2X/7OP4L9MONOt2BCfuA+39DQXLjRrJZ1IG3txfKlg20KNryeAQfHy+pqT5fUATPiFnMPesfpA5s0gwF7lQvZmiLomg6/uLFx/HJJ9uwdq1x6c7KlWcV4Z3KqUqV0swOKSS3cGRkqCLaat3CCxceU3JqH3igoRTHYSr08+8ep2fPmpIDXCva8ogEGnRo3/5nPPTQX3jqqX9cXkDGef75ttJ6UhDQcuJQoR8tX1vQ8ue3O3o0FhcuMKctid+8bV4g8Ei0M7OKsWhryl3cRVJmEpKz8jcL4ZdHWmPzK93RMlI48jkUfzBgwAD06tVLd/2+ffuQlZWlu75+/fqoVq0aduyQ90sFAkGRwPael6Bg4YIj4cycIMqmJP6dDFzcYtlBlBd4TikRVse+HFqbyE3m5KA1EuJIaGvzpCraRjEBQhJMyK1MblIqBQurlf+XQu6r+Sy39lbJRsi566WKttSwTG7PR1cCXnLmLLl97T0oodutfw/IyQAaDmXvgxzFpcqz11+ljXpbEuBqdAHOyS5ScpxagjtZSbjTvhZ6fBILSQQlJ40rSI5lebw8mkML5eu2foI5v6k4iSCRkIQSKr4iYdE0GiM7gzltNUKTROeXjZczCei8bM+a0EWREZ0mMYGyoKDXS6/p2F/s+0LRBqVVISBPkDPw27bM6U4ZpeQY5HCnLXfbcgHflPpyKR7nyY2sGZmKNrIcdIe6gJqhNTGl7RTlMnfBakVWZ1ACJfBL31+kxw3yC0JqdioyaN3Uos38JUjcPvqXRTesttiJsh07dXIgeoDEJvqO0LaPiupssf93tl71ed/8M5VeaxLWX9+BnypFoE2JeEzSLMsccq87IzLHQSxFHZBDllyecXEpBvdhB4Xk2HN67p0SjVCwub7u6LQlHn54iXKelvWOHY/rxMu8RiO4GopIoIxdEmgpT5rEWOKnn/brMnVNIUGRpvZv23ZZua5nT7aPYyTazpixR3GRrlhxBtnZudJggis4elSNEBo+XJ49VQCQUEvLMjjYDxMmaPZJrEDflXr1wnDoUIzIsxUULXikTjGPR7iYcBGJmYmoFFQJ5QLLwUv2gfGZUQLrJCUlITFRnQXn7+8vnUyZN28e9u/fL8UjmHLjxg34+fkhNFQ/6y4iIkL6m0AgKDoIp627QVNha/VgYpKlXNf8YOTgdKbT1nQ6fF7h7kdyQ3KXjPLa2zPxi4SJjhPZ5UbD1PvyaAIeD5AXstKBnGz1Mrkjy1TH9mxVCJGmc5auwi4kXGGZk69dBh6RXaH25pLStGZi0WPA+U1s6v64tcBr0eZOL+405W45a4Lk42uBfiYt9/XuATo8D/TLX7urVbjAGtGYvRfTeIQBnwE1uzPhkrj3a1ayRLnE3FWo5cJmIDMJCKoAVNIcZFsSxi/Tjs1dNphgLVs4sgPQ6y2gwb0oUEhUrdiUORrr6EfN8wRlmtL0bmKrSbkg5SGT+92eXFt73dJugCI0WnMP5wESbFpXaI22FdvC18tXydDlkQlmoi05/ueNBGIp+qUMEDXI7DG1U4tPnLjp6Ati7mfKnSUXqC0odoMGrBY+wtYbU86ux60SuTjm74/oHCbG8/fobAHcXrRRB9pp0zzWICkpU5p+z8nKylGEXGvRCA5BB5k0+EHrCA36ePtbzrMtBjRsaFwGlpt7F9Om6d07V64kYtmyU4qrnFyp7kDduqo4yCMSjh+PU8RYeo/t2sm/3yaYRiT06FFDiUng4i+JtgkJ6Zg6dYsueoHyW13FmTO3lIiBypWd9N23A3q+X34ZjK++6i+V+9mLNiLByMUtEHgkWqG2GDttpx+YjlH/jsK6S+v0g+kQoq09NGjQAKVLl1ZOH374odltLl++jBdeeAFz5sxBQIC8Ly8QCIolQrR1N0hkGb2EiUmucEByF1FVV4m2ThJ4SHAjMYGmdZP4SgLq5d16wZkEjd7vAI+t0jsIuVCXn3iEfb8B74ezeAZqcX/pBPDCIay7XE+5iZRpy6MgEi6z10Miq6MlPn0/ZA5ScvTNHQlc2cuuN8qn5KItRUUkXrcuBpPrksRb02ldNH2+mgsLTHiUAXc/G7F9OkAiUe1eTJTizm+jzGUe5UDOQSMX982zwNIJ6nKL3m47A7Qwoc/kqc3Wl4+jdHxBjVU5OJe5PzmU9UzfL0uDQDQocnYdW37agQruVnYD0TY9Ox1xqXFIyEgoUKHR0NFbrh5zSdNr+bkPE0fpIO7hxYZZ1lFR+RBtHaX/p8bbEs7JFcgxeW+uEsCd4bTlaHNVY2JSlHE8SyVkDrPkKVYkR3npPd4EXr8KtBuP4krv3rUwfnwrtG5dCSNHNsK773ZTxEqKSqAiLs6nn25DVhZbPx5/vLnLXKb5KSN7773NUqnYzJl6l62lafpa0ZZct3xwQBuRQHEQ48evMMv83bfPBSWo8mAFL0Yj974nRAxoy8g4wmkr8HhoBhtBpZ325MgXUfg+g+m+RH73y0b/vAsDpm/B2VgH46Q8jOPHj0uZtPw0ZYo6m0wbfxAbG4sWLVrAx8dHOlHZ2PTp06Xz5KjNzMzEnTtyL4VMTEwMKlSwoxBbIBB4DO6xdy0oGD7TuGBD5MIzZ0DOYBKae77FBCJnide8tIocf+RkIwGXpnuXtzEtkJykj/wLNB2Z9+cnEZZ2PEymPp07pzYgS/EIWqdtXqFG+OG/MJd1Vgrw2wDghiyYmUKCNJ8mTTm7BUnKLeZIswZFO1BBnFZgNhJZeaYyOcqNppxrqdqWZRZTLrMR274ADswGtnxuf55tUYPiJurKBXV/Pw2cWK7+jabXPzhH/a6akpkC/DEMmNmTRYEQx5cBV/Y41z2fDzZd2YQeC3vghf9ecGk8QlZOFv488Sfmn5yP7Nxs3fMouZi0bXp8DTD5PBBen7kyR84DKrc0fEwSFnluJjn9XAptS4b9zLKraXtJnyutjzzjumob5MqDSlz4LmynrVGmLREeblzgphV5nea0LSWLS7xI0tvXPmdzEYWmtn/33QDs3v0E/vxzGP7v/7rimWdaSX/LybmLr7/eJZ2PiUnGjz/uV9yYEye6zza3bVt1e0flXQ0afIsff9wnXfb398bo0U0t3rdxYzWzslcvvXO4TRt1YGbuXPPf6X378jHDxwoUT0DL3jS+wp0xdtoK0Vbg4VCvRiGUdrob3FHrbNH25I0kHLuWiMxs9yjCdRXBwcEICQlRTkbRCD179sSRI0dw8OBB5dSqVSuplIyf9/X1xfr1ar/DqVOnEB0djfbt3dS4IhAI8oQQbYsTNAXdNI/JGZCIQcJt50ksIsBZaCMSaOoq5aOSe9RWbETFJszNGBSeP9GWMBG6zp27rTRkS84jrWi7/Rtg+UQgmh3QOgSN1j/4J1C5FcsmndlL75bUwsVQ7mg1ggTM3T8xodUUEp/OrGOvNU0Voa1Ct/+0JvDfVOu38w0EnvwP6PsBy681YsFofUSBLdG22UPAI/8AtbobP14HEvJKsJzf2BOsCI5O7uq0dRW0/nEcEVppOjhB7lH6/Ezbkd3AacsPAkyFRl1sgRNIy0nDh7s/xPu73pdEWv482tcgUbkFUCoMGPoD8MR6oEZni49Jjjju3COHYnKyLIy7CpoZQNsSGtxJvwPMHgqsf5f9rc0TyJEdpGZOWycvy7zEI1hy2upFW+Pb5wteHGm0vRRIjB/fWhI7CRJqk5IypKgEKuIinn66JcLD3WeqMDli584dpkRuZGTkICWFlbsOG9bArGxMS/fuNTB6dBN06FAVkyd3MHtcU8iNzNm71zVO2zNnbhtGP7gzQrQVFElohtize4CRf6I4wweynb0vQTE8hI938RXEtcJuo0aNdKdSpUohLCxMOk+xCo8//jgmTZqE//77T3LmPvroo5Jg266d+wyiCgSC/CNE2+IETd+l0qVRi+ARKKLtaSbYPbcPeHBuwTw3d85qRNucnFzJ7cKjEaTpiVrR9vQqYN+vqqvNUSgb6+FFQJ0+QJMRlp1e5Dht9TjQ8Xnjv5MbdtPHwL8vsyncptDrXvMme608f9YW/7zI/t3yGSsLswQ9dvkooP2zlh0I/T9m2bTjNqi3ITdts4f12cT2QoVsPGpg21fAmL9ZtrAbOEQLFBrQaDueTY+v2Ez/N9q5tuSS5qItFd3xz4MGXxrfD7Sf4BaOQ34Q4GxHhynaAg16Dv48FnPaKK7DjsIq7TRhV2ZeKtBnNmohc19TFnRAaUlko6ns5y7cciunrV6EDbYp2l67po1TcJbTVh7gO/gHMKMT244IdNAg5ahR7LuemJiBzz7bju++Y258EnOprMrdePDBRjh1agJefrm9LrbhySfNC8hMnca//z4U27Y9hqpVS+v+1rq1XrQlh/Hnn/dlGff0FTp4QyojczY8l9eTnLYUUaHdDaDvSeXKJjn9AoGnERjK9jtpn6kYY7pf5ufth6bhTaVTfsiWRVtvZ5eMFlG++OILDBw4EMOGDUOXLl2kWIS//pI7QwQCQZHBp7BfgKAAiWzPWuE9BYpBoPxI7oLirl5bkCv36GLWes+zPp0g2l6+nKhk90nRCNLf5UzbO5eBbLll3lr5lS0om5fEFmuE1QIGylEARiTHMLcuiTH89Rm5deNOsLxYEoitQWVLvNSNRDxJ3MlHSV6NLsyNazq9f8i35kLjkUVAza4si9canV5kkQBHFgLdX3c8V7io0N+gYO7vZ4DD81n5XJsnrIu2HHKzD5sJd8HUadu3el/UCq2FmqWdW3qkdYjQgQiVkVExmXRQko+Zevoysji0amWefet0aFvy0DzFuXJf3z+wbt15VBpyBmWH0AERW5afdPkEd3EXPl6FszvA4w5IVNMKtZadtq6IR9DMyog5AiR3dc7jFjEo/uCXXw5K5999Vy26GzeuhfMEdCdD0SSfftoHjz/eAl99tRMNG5ZH166aHH4HIYcuuUXPnmXO1xdfbCe5eVu2rChlzqalZUsDM40a2fjNymMJGc+09QQCA31RvXooLlxQB7tJEBcIBEXPaVs2oCz+uOePfD9uDnfaim2FIRs36o/jqaDs22+/lU4CgaDoIpy2Avel6QPAhN1MkNMWJNkiI4m5TDe8z4Q/RyHxlYRPQiN68mgEnWgbWhXo+T9gwDQg8Sq7zqCMqECJv6AKzpTNaAR3plLsQVa69cc7vxHIzQJCqgB93rf8mJd2AIseA06thFOIOwX8NQ74sgkTjq1BeaKU45mbzWIqBCpkdaLlwsVZe0RbNy+8iAqLwqBag9CwnFxg52RxmJ6HnPQlfUvil76/YGafmfC19L23A63T1uVlZAZ8//1eSbAlMlKBYJ8QlJLjcuh9kUNG6youDKdtREQpnaBToPEIppFBFfPnFCqqNG4cYZbxSmL7K6+YFF666VT9GTMGYsKENvl+rOHDo6R/q1QJUeITtAMxrohI0McjeIbT1rSIUUQjCARFB+3+kjPJlmc8eRXjvGCBQCAwRYi2Avfn2BLg40hglXmzpiHBcskalSql5iGjkIuvPgE6l6++hEw++KAM0M4vAfX6MXer9vldCe3UXNoOrPk/1eHLib/I/uVFbkbQ9HkqU6DiM14KZgly43J3rrWdqON/M4fzCfn2jpKdyTJtY47pn5fyQnnWqjVI3Cd2/8CczwK14ZjISPRY0dbUaVtQ0/2chdZp6/IyMhPIETh5shqDcmtNHXwSORevtXkNhQ1FzsTGpkjnefZo4cQjmGRv2hF5UVwhZ6mWsWObolo19912uIK33+6G1asfxt69T6B06QDpOnLacvbtu5Zn59orr6xFu3YzcfiwPHBsEo9QurS/bt1wd+rXV/ehateWB7sFAoHHQwPnzzR9BnXLOLf3gKdUiUxbgUAgUBGircD9IXGSmtDtnb5LEQol5YNwPq1fbl+mHD6tY9aYEizP00SkNHTachKvq8KXXwEdUJGrdft04II6TVUn2paxMgWU3pdcSITVrwOH5hvfjhyO3DlLy4NK4ajk7NY5/e3I0cyL0XhRmqPsmgF83wnY/Cm77Ojj1ewGtBjDMn8LQjj3FALkDMF0zxVtTcXUS4mXsD56PY7fOu4R4nBkZCgCA30K3GlLoujYsX8jNZUVMBmJoItOL8Krm1/Ff9EmkSUFwO3baUrpiL2iLXfaenuXQHi4k7a1FL9SoQk7T78zYcUsD9sB+vWrrRRMkTN6ypROKG74+/ugT59aiIhQv7MtWqi/OXv3qvsdjjBr1iF8+ul27Np1FW++uUG5nsreqMSQ59lKefoe5M42ct0KBALPF23HNxuviLZJmUnoubAneizogawc/T6HI5QL8kO5IH/4UGeAQCAQCCREpq3AvaECrP2z2Plq7e2/X0hFIPUmE1Nl19To0UuwdWs0fv/9EA4detrygQ85VA3yPLVOW146IhF/SX2NBSUW0s5MvXuAvT8zR2qd3urfbl+wLdryfFoqTdv9I7BiEmvELWUy7ZLcw62fYMJwZAdg3kPAmTUAiWhdJqu3u3EYSLgM+JZkpXF5gbvbrtNjXQWu7WcCOpUp2QN9nvd+nbfnLsr4h1h32lZrB/SZat2ZXcjUKF0DQ2sPRf2y9aXL6y6tw5f7v8TgWoPxfqf3XSYOk4jbdX5X6fp/h/6L0IDQPD0uiVv16pWTSorI+ZqRkS0JP87mt98OYvPmS1LmZZMmEdi9+yq2bzd3nWtF0MNxh/HvhX9RO7Q2ulfL47qbR7jLlhddabGVaUuCmbe3kw7qqASSZkwsHMu2Q95i18jad3n+/OF4662NuP/+Buqsk2JOmTKB0mAu7SccOsTKyLTlZ7ag7/jLL69RLtO+Cg1o0PKmrFye9ORJ0QjEAw80xD//nJaWx8iRjQr75QgEAhdRAiUQmxprubjVTrZP6enEVyUQCARFA3FkInBvUjSutKpt7b8fiac01T6JTVOkA4Zdu1i52JEjsdIUZSokcQQu2pLDSzcddOd3wK7v1ectKMiBKom2/wIDPmflUTqnbQ3bIme/j5mbtuEQc8GWixndp7CT9JwDmWhLLlitaMsjEWr3tC/KwIgIWbS9fR44soCdr9oGCFadOoI8wB20lpy2FZuwkxtDZWB04nAnLHfGOotygeXwbc9vpYMPgv69k8FKdLLvOpCrbSEigURbEmIon9LZRUVUcPbYY0sNY7xpVacSqS++2IkyXc9jbu77CDo5Ag/Wf1ARqLUlbO4g2lKBFIletO2Oi0tVnMMxMSnOzbPl0O8FIaIRbEIDAkuWPFDYL8PtaNmykrSfQGVktD5qXaa2oAiTW7fU7Pb4+HTpMWg/hUcjeFIJmbaMbNEiG2WnAoHA44hOjEZ6TjoqlaqEIL8gXayUs/fNBAKBoLgj5h4I3BvtlG0jUdESXDyVYwsuX05AVpa6E7F06SnL902LNys+o6w5crvwqc6+vprp01T4RdTtBwz9AQVG9c7MRZkSyyIkOA/OAR5bw/5uj2N34OdAjS7mgVJG1CPXawng2gEg4YoqrB+aq4q6eSUoXP7c7gKbPsn/4wn08QiWnLYeiKuExkCfQHSp0gWdq7B1h9z4WtdtftCXkTk/15YctZZ6FydNao8hQ5hL2S8iGbH+Z3Al6YpLBfD8ira07Lnbljtt6fY8TqFSJSfl2WrXE4pFECVkgjzSqpU2IsH+XNtNmy5KLnlTyG1LnDnjuaKtQCAomry+9XUMWzYMu2/sli4L0VYgEAhchxBtBe5N9zeAKq0dF0NDKukybbXNyzZFW8qKfT+clWrJkAMmMTHDOM+Wi7ZpdwrWFUrZvQ2HsvM7vtXnM1Zr65jIzYk9AczoANw4yhy7x5cBmSn6x+aOZ551S8uLohFKV2WRDfmBu9yyUvOXjyvQrwsk4Fdqbvx3iqO4spcNVrgpGTkZSM5MRiaVC5LQKLvKC+LAwFmiravLyMjFy3nzzc549dWOGDCgDp57rg3ef7+HIoCW8GKip5ecF+euTltCK9rSwBnPs3WJ07bjC8Bze4HW45z7uIJi5bTl7NtnX64tRaU8/fQKXbEbZ+vWy2b7L54WjyAQCIomfJ+I70M4Q7RNy8zBfd9tw/3fb0dGdsHvkwgEAoG7IuIRBO4NZdOOW+f4/Zo8wNyjckSA1qlCUNYjtZAburXIQUo7HLzMzFYJGYmV/H4FTYfngf2/A6dXAjHHgYgG+Xu8de8AcSeA2UNZxu2hP5nbldy7HBJSL+8ETiwH2jwB9J0KLHkauH+W6urMj2hL8Qv0nFQGF1Yrf48nACq3BB6R4yuMWPMGyyy+bybQ5H64I38c/0PKsL231r2Y2mmqy4TGhIwEbIjegEDfQPSr3k9xomYjO9/PpXfaOr+M7MCBGzpnLWVsGmbEyqItd9gWpABuTbQ1KhXjr5mKmKhMjbbZnIoVney0FQjyibaMzF7RlspRT55k24O2bSvj++8HYv78Y9J3fts25rTVxyMI0VYgEBRN0TYzJxf7o1kklZcHFS4KBAKBqxFOW0HRhEqVqDiLRF9AKv8xZflyA7ctzS/m4it30JqUkJkVr/DbJV4BYk+iQClXG2hwLxOOk28wx+TqN5hDNi8MncGyZSlygQRbJRJBA3e/XtzK3JkktD61hb2W/MKdtolXWc6uwPWkJ5hHkbgZ/ABAERpdNKX/esp1/G/7//DJ7k+c7rStXbusUkzkbKctRQYcOhQjnY+MLG0m2BJlywbqnbYlPMdpy922vITMJfEIAkE+CQ0NkNZz7nynPGZb6+1XX+1SsvJ/+GEgAgJ8JPGWuHDhDq5eTVSctrQ+0HMIBAJBURRtc+T4I8JbiLYCgUCgIERbgUezYcMFfPnlTqSlZVm9nWk8gsWIBBIh+dT8EHbgZNNpW0pTKEQxAQXNgC+A5w8AtXoA0TuBHd8Ax/7K22MFlgFG/wWEyQIs7YTVNRFtyf1arh7Q/GG1KE6eap1vqrQBev6PnQTOhQYkjEJPPUC05YKiq4VG0+dxpkBMOdg8j5Kcc1Sq5Sxo+5SczKIjmjc3LkMkwbhMmQCghInTlr8/a1nWLiI2NtWqaKt135KT+MqVRNfFIwgETqBlS7b+kVPW1uDM4cMxSsnegAF10bRpBel8p07VlNusXn1OcZiLaASBQOB2oq0sJVBxa90ydVG/bH3dPpQjZMv7IV4l6LBCiLYCgUDAEfEIAo+FHCj9+89BZmYO4uJSMHVqT/WPVCS271eWadv1NcVpGxjog7CwktLB//r1F5CUlIHgYH/pbzQV0efmUbTlQqxvgH1OWxIs2z3D2sdrdEWBo82upRxaQo6FyBOUWzv6b5ZVW7WNcTZu11eAnd8Bwewg02mUrgx0fsm5j1ncyckCptUD0hOByWeYMO/hTtsWES3wv/b/Q+VSlZ37PLn65yEalWuE1OxU+Hr55vvxo6LCpWiEjIwcyUXHXXnOzLNt1sxyrjY59VJMnLbjm47HuMbj4O/NtoOFF49g3Wk7dOh83d9EPILAHWnVqpIUb0Ds23cNTZpYXh/XrTuvnO/du6ZyXivaagvKRAmZQCBwF5RBbtm0QeWhi+9dnL/HlJ223kKwFQgEAh3CaSvwWDZvviQJtsScOUekohoFymmkmIAt05B95xrOn2eiK4kk995bVzpP9yUXCzF9+i506vQrPnx1rlk0gqlTt2ZNE9GL6Pchyw2lcrDCFOf2/MTOl6mev8cKrQqMW8vyao1oPBx4YgPgL4QTt8fbl5XJ5WYx4VYLrTMeINqaOmBrlq6J++vejw6VO7j0eYif+vyEOffMQaUgtWQorzRooObaOjMiQZtna8lpy0XQu7leyM30grc8ZlvStyRK+5dGgE9AoYm2NOXbz08Vyjldu0ZavK+IRxC4s9OW2LjxktXbrl2rira9eqmibfv2VcBnBm/ZwnJtCSHaCgQCd4Efc3GnrTMQoq1AIBAYI0RbgcdCZWKcS5cSlExHCTrikV2gsefOICsrVxFtBw+ur4tImDPnMF54YZV0uVrpRDPR9vbtNOzadUWJRggKKkRh1hoLH9Fn+goEHH+5IC7DRLTNTGale0RgKNzeaSuXZnnq85DTlnPihGtE22bNKlgVba/Pbo7jT96Heys8iMKGi7ZG0QhEz541sX//k/joo54YPrwBqldn39F77qkj4hEEbkm7dlUQEsJc64sWHUdiYobh7Sg+YcsWJupWrhyMevXUGS2lSwegcWNzh66IRxAIBO7C0DpD8WijR1GxlOWB4ryKtj7OilwTCASCIoKIRxB4LLt3X9NdXrLkhF6wCK4I3LmEuHPMTcudKt26VZcOquhg6q+/TmDevKPK38/eDsX84w0wtFcHcGn2n39OIyeH7UgMHlwPbkvTB4GT/zjHaSsoWgSEsHI5U6ctd9l6+wGF4LTMqwP2ZtpNnI4/jRC/ECm+wNnPQ9lsrqBBA1W0PX5czoN2YjwClY1VrSoL9AaYFntFRARh85XN2BC9QYqcuLfWvSgoSLTigpYl0ZY7h7XuYbqfv7+3NBVTIHA3AgN9MWpUY8yYsRepqVnS/sWTT7Y0u92OHZeRlpatuGxNv8+dOlWVMm+11KkjRFuBQOAejG041uy6YcuGIS07Db/0/QUVSjken0bm3ZAAH5TyF/KEQCAQaBFDWQKPJCsrB/v3X9ddt2TJSf2NQtiBfuJVOedVdtrSNNz+/VnRFh1U8YZnKulZebYmHlzYD6tu91Du8/ff6uMOHRoFt6XeAKDhfexUumphvxqBJzht/UoBfd4Hur3G3OluSr0y9dCvej9ElWXr396YvXhq7VOYtneaS7NziVH/jkLPhT1x6rZBcaGDkJuOL2ZnOW1v3EiWTkTz5hWsipmmoi1x8vZJLD6zGPtj9qMgoRxyjjXR1pSAAB8h2ArcmnHjWijnZ87cbzPPVhuNYJRry3FWBrZAIBC4gitJV3A56TKyKI4rD1QvVwqH3+6LHVM0HSUCgUAgEKKtwDM5ciRWclyZXkct6grBLIMy6zaLNtA6VUwdsyNGNMSsWUPMBGASdVetOqsIC5Q157bQdKL7f2UnIWoITJ22hKnTlkrJOjzn9uVvA2oOwKddP8WgWoOkyz4lfHQiq7OoHVobn3X9DC+3flm57mbqTcSmxiIjx3ias6MuvBo1yiiZtjT45NwSMuvOFhJtyw04icgXt2LbjS06gTo7V789LcgSsvLlVTFZIPB0WrQgdzhbF/fsuYZDh9R1lLNu3QWHRFvKcHbbaCaBQFDsuJZ8TRJpM3Mylev4bChn75sJBAJBcUeItgKPz7ONjCxt7LaVM229kq+bFXlQJmJ4eCBK+mZJrc2//z4EvXvXQt0K6fAukYvly09JDtw1a84pUxipwMzbW6wygiLktPVQ+IFB9l3nCo1hgWHoW70vOlXu5LKDkLZtK0v/pqRk6bZjeeXAAXX7xoUia6JtYPV4BDe9gWtJ13WibUEfZOlFW/udtgKBJ/DEE6rb9uefD+j+Fh+fhr17WbxTo0blUaGCeT5z1aqldVEnooRMIBC4E4+segT9/+ovRVVxhGgrEAgErkEoUAKPRCt2vPNON8MoA4Qwp22pHJYdGRjog4oVg5Wij9NfRiPhjR/x74914e/vgwCfHJx66jtkvPkV7qbextat0ToR2K2jEQQCa0Q0AiI7AaXK6a9PvA5c2QskqG50d4RcoHTibcWK0Jjr+gMDXkrG827zCw0SGbXH55WDB2McctqW8GLLMCU5S3eQ5az3Zy9CtBUUZUaObCztcxCzZx9GWpo6XXjjxovIlQt3evWyXBqqddsK0VYgELgTXJjVxhXx/Qm+r+YoZ2OTMWrmTkxacNBJr1IgEAiKBkK0FXi0aOvj4yVFG/CCn+3bLyMmhuU7onpn5Dy8HEPn9lfy4Ly81J2L0Ohl8LmbAZ8FD7ErEpnzJTPHC7fTArBw4THJcUvQtMSePS0fXAkEbk23V4FHVwANh+qvP7EMmNkTWPMm3JkPdn2A5rOb4/tD37tUaIxJicGqC6uw6/oulzlHtFOhnSHacqctZb3Wq2ciyhtl2nLRNilbJ0oLp61A4DxCQwNw//0NpfN37qTrBoBt5dkaiba21m2BQCAoSIw6APK7b5aQloVtZ29h36V4J71KgUAgKBoI0VbgcSQlZUh5kESTJhFSTuSQISyjlgZ3ly6VC4OCIxDt3RhX7wQal3g8uRGgHYzUm8D1w4rb8HIiTUksgZ9+2o/4+HQlToHcuAJBkSI9gf0boEaMuPPBAT8gcNWU/qO3jmLy5smYfmC6cp2zn4umPVMhGbFr1xUkJLBtjD0kJmbgt98OKtndtC08e5adb9y4vDSIZa/TNlkWbYXTViBwDePGNTcsJOODNbS+dukSafH+Dz/cBG3aVJYGpem8QCAQuJ3TFuZO27zuL+XIMxC8NQYbgUAgEAjRVuCB7Nt3XRJniTZtKplFF2gdLWfO3LY8vbBsTdV5uO1LRbRN9o6Q/s3KUnc6hg6t74q3IhAULh4i2nJBkbtCvbxcIzSaxi+4StTkEQk5OXelqdL28tpr6/Doo0vRpMn32LDhAg4fjlG2hbbybE2dtslJWbr3GhuXjC++2CGVLxYEsbGpynkh2gqKIuSUrVuXDdD8999FjB//DxYvPq7sl7RrVwXBwf4W7x8S4o9du8bh2LFnDHNvBQKBwJ2ctlWDq6J6SHX4evnm6TGz5cgrb1GmLBAIBDqEaCvw6DxbcqEQLVtWVEo71q8/LznSiPRjq/BRr83oVj1a77TNSqNATKDTi+zysSXARdamXrJidd3z+fl5S05bgcBjOb4U+KQWMFeOAuGk3/FIpy0dFExuNRmPNXrMqc/DhVn+PERkSCTqlKmDQB/m2HcGVHqYl4iEHTvYwBIJqwMG/Ikvv9xld54tn7KtOG0TmTg7sOZALOy1HH+Pr4BJk9bgpZdWoyAQTltBUYeyHrWFZN9/vw/Dhy9ULlvLsxUIBAJ3Jhf6/TLi9/6/Y/nQ5agZajn2xRrCaSsQCATGCNFWUCREWzo4GjKkvuKQnTfvqHQ+LPY/vNpxL3rVjEadOszxIrHtK+CDisDxZUDt3gCJQgfnSH+q3LAhtIO8lGVLjheBwHMpwWJA6OTJTlvZ0VGhVAWMaTgGg2oNcrlz5PNun+Ove/9C8/LqVOf80q1bdXh7l3BYtL1+PUk5n56ejUWLjiuXmzevaPP+lOnt68d+9pNk0bakb0ncOAOk3GLv+bffDuHWLdUF62rRlpZDmTLOE8QFAnfimWda47HHmimlZFqs5dkKCpbP155Gs3fXSP8KBALHB9OdARdtfeT9I4FAIBAwhGgr8FjRlsrB6tdXyzm0mW8ffLAFmZk5OBYTKl2uH3ZbH49w8zSQnQ74BwGdJ+keP7hyTWnaIoeLwQKBxxLAXOhIT9Rfn8adtmw9cVdyc51/cGCv09YV0CAQ38acPn0L0dGyeG6F7OxcnTtVCw0yUaatPXgvHoKjjw5DzGbVmXvmzC2dGKzN33QV/L2Eh5fSFUQKBEWJkiV98fPPgxET8zJmzRoiCbW0vlKWrXY/Q1C4ZOfk4k5qFhLTCiYeRiDwdIbXGY4H6z2IYL9gpz2m6rQV8oRAIBBoEVtFgUdBTrPLl5nw1KpVJXh7e+lct/3715bOX7qUgF9/PYDd59m026jy8ahYMVgv2hLl6gLV2gP3zwJ6vgU0vh+IaIjx41tJfw4PL4lhw9S8XIHAI/GXRduMRI922nIxNTUrFQdjD+LoTeaod6XT1lXwXFti7dpzNm8fE5Os5NcOGFAHI0c2Uv5Gg1elSvnZ9bxSru3dEpLTNiMjG8dvHceypF9Qtof6Gr79do8kErsKyg7moq2IRhAUByi7dsyYpli7djTS0t7Af/+N1e2/CAqXkn5sm5+WWbCFjAKBpzKp1SS80e4NhAWqsxif2/Achi0bhpO31W4RR6B9HF/vEvAVA7kCgUCgQ+wxCjyKPXuuKed5CZmWd97pppx///0t2HiUheHXKXsHXrxIiFx7N8+qoi3ZXhoOYY7bYTOBSs0l1+6RI+Nx/PizCAsr6fL3JRC4FC7KcpGW0+YJoMtkIIwNdrgrDcIaoGuVrlLJBXEh4QJGrxyNFzfKmdROIifX3Gk7ZcsUDFwyEFuvbnXqc2lzbdetu2Dz9tevJyvnKb979uyheOml9qhePVS33bNLtJW5dSsNFxMu4mLYZoS0Ynm5BA2MLV2at4Mue6DMcZoJQQjRVlDc8Pf3Ee5yN+OzNWwgf8WR64X9UgQCj4X2J07Hn0ZKlvGsIFv0ahCBM1PvwaLxHZz+2gQCgcCTMQ/ZEgg8LM9WS+vWlTFoUF0sX34aV64kogSCkJrlg5K+2cCdS0BYLSDhMpCdBnj7AaGRhs9DGbmNGtk33Vgg8BinbWYyQMKkl+wkbTEGnsDjjR/XXeaiKo9NcBYtI1ri/Y7vo3xJdd2/kXIDlxIvIZmWnROh7VdwsB+SkjKxbt155ObetSrkaPNsadYAufQ++6yPdHKElFabULXSBcT9Uw83b6bCK4QtS15Qxvn6690YNqwBXIE25oFmMwgEAoE7kJEtnLYCgT3EpcZJx0pl/MvAW96nVPbN5FlLAoFAIHAOwmkrcHtoWjBNH/7661264p22bY3z4LSus7sogVM3y+gjEW6eYf+WrQV4i3ELQTHKtDWKSPBA+IEBj01wFtVCqmFw7cFoX6m9ch2PSnD2c/n4eKF7d9YeT+LpoUM3rN7+2jWtaBuU5+dNKXcepdtcgU/pDCbaQhbwve6ibt0wJSd806ZLNl+TM0Rb4bQVCATuQgkq7RQIBDbps6gPui/ojlvpt8z2zSgCSSAQCATOQ4i2AreGcmkrV/4cffr8geefX4VTp9jOQYUKQahc2Tj8nlrUhw5Vy8NO3iyrF2uVPNs6rn75AoF74OMPVG4JRHYCcrLZdTlZwJW9bL3wsB1sVwmpRrjSOaLPtT1vdzxCpUp5L/7w9mGixN3cEpJomxCfqThtSbR97rk2OretKxCirUAgEAgEnotRcSs5b7V/c5RtZ29i3Ky9+Hq9fLwmEAgEAsdF2xkzZqBJkyYICQmRTu3bt8fKlSst3v63336TNuDaU0BAgCNPKSjmfPfdXuTk6AUlmkI8eXIHZefAiLffVt22r2/ohB3tVgPtJ7ArykQCUYOA6p1d98IFAnfjiQ3AoyuAoHB2OekGMLMnMMP9s8OeWfcMWs5uiRXnV0iXveRmYWeLtpeTLmPT5U04ceuEch1/LleLtps3X7J6W9N4hLzi5SNvT2XRNua6LKB63UWdOmWlsqSQEH/pqjlzjki3cTZCtBUIBO5Is2qhhf0SBAK3h5y09J+pO50PqOfVaXslPhXrTsTg0JU7TnqlAoFAUAxF2ypVquCjjz7Cvn37sHfvXvTo0QODBw/GsWPHLN6HxN3r168rp0uXrB+YCgQcajbn03PJWTZz5iBs3foo4uImY9IkdfqyEU2aRGDEiIbS+WupZVGnVRNSX9gf6w8AHvgDaPuk69+EQOCu8FIyKimzMgDiDmTmZkon0wMDZwupGy9vxIQNE/Dr0V9d/lxEnTphSo7tjRvJdjtt8xOPwOOMudP2+rUUxWlbu3ZZBAX54fHHm0vXpadnY9myU3A2QrQVCATuAuWJc74b1aJQX4tA4Alo94f4PpJWwM1F3vaXsuV10VsUNQoEAoEOhwI9Bw0apLs8depUyX27c+dONGzIBDJTyA1ZoUIFR55GIJA4ciQWWVnsh79Hjxp4/HHHdqZ//HEg6tcPQ7t2VXSN6QKBwES09ZADBH5w4KrIAv543F2rfS5XRDGQYBsWFoi4uFSbjlaeaUv3yY/QKb01eiuyaJt0NwWorjptib59a+GLL3ZK58+cUfPqnIUQbQUCgbuQlqVu20v5iZ4DgcAWWlFWO+uxbGBZlA8sDx+vvK1HOUK0FQgEAkPyvHeSk5ODhQsXIiUlRYpJsERycjIiIyOllu8WLVrggw8+sCjwcjIyMqQTJylJnRYqKD7s2XNVOd+6dSWH71+6dADeeac7y+vcMBWIOwn0/5j9Mbii27sLBQKnsmQ8cGYNWwcaD/co0TYnV5+dVtq/NCY0mwA/bz/nPo8szGqdI+GB4agSVAUlfVwz8EMDSvaIttxpGxFRCt7e+Yij974LZKlO29TrpXH6+764m+mN2nuZaFujhlzeCODiRfl74kTo/XKEaCsQCAoTcve1rxmG1KwcBPiKqg+BwBbaAXNtpu33vb7P1+Oqoq1YDwUCgSBfou2RI0ckkTY9PR1BQUFYsmQJGjRoYHjbevXq4ZdffpFycBMSEvDZZ5+hQ4cOUpwCRS1Y4sMPP8Q777zj6EsTFDH27LmWL9FWgcTZw/OBO5eAyi2AdW8DYXWA5/b+P3t3Ad7U2cUB/NTdjdJS3N3dfYxhAyYMGRszZmxjHzPmjDkzGBs2bMMZMhjOcHcoDi201N3bfM9505vepEmbtEmTtP/fnoxYkxu/93/Pe14CqDJyUoky4ogyE5WnrbjS1tPRk55r+ZzJ7ke+EfJB5w/IlPz8lGFwenquaEfg7Fz8Zzk/v4AePEgrdz9bZmOj3tOWw+CcaA9ycLClsDDle6FmzaL3xK1bhe8XI0KlLQBYCi8XB5r3VFt6aM5/1PbTnXT83X6o9AMoQ3uE8pJCW3t8/gAA1Bi8K4uD2DNnztDRo0fphRdeoAkTJtClS5e0XpfD3fHjx1OrVq2oZ8+etG7dOgoICKBff/21xPuYMWOGCHmlg67bh6oR2trb21KrVuVsseHfQPnvFeVERuQVUt7FA7AuTl7qYa0VhrbyMNWUFb3G3Agpjbx1S3y89mpbDlelCRnL08+WbRr5N4W/NIIyb/uI8PTGjQRxfp06PqoKXicne9FHnN2+nWSy0NbFxZ7c3ByMfvsAAIZwsrele0mZlJCeQxk5eeZeHACLxutII+uPpOH1hpe5FYI26GkLAKCdwd+0jo6OVK9ePXG8bdu2dPz4cZozZ06pQSxzcHCg1q1b0/Xr10u8npOTkzhIUlJSDF1MsHLp6Tl06VKsON6sWSC5uDiUP7S9voMo8njRaYCqxNlT+W92itWFtqq2BYWzaOUV5NGNpBvi/Ma+jdV6qhmjT5upw2E5f38XtXA2JKTwddLSz9YYoa2zvTP5eXhRdHoaXbkSRwVuqRQ4+CYF1lIfzVC7tre43wcP0ikjI5dcXR2MHtpyla2xXjsAgPKEtpwTcWaUkZNPHs7YmQSgC7em+qhL8RGxnx35jC4lXKKXW79MnYI7lb09AtYLAADUlHvLlHvVyvvPltYHl9srBAcHl/duoZI7fTpaNaNvuVojSPzra5xGaAtVjFNhGJgaTZSVQlSzC1GPt4jqDyBL18y/GXWo1oF8nJS9VtNy0ujRTY/S2M1jjTpBmLaK3p/P/ExjNo2hjdc3kinbI7D4+MwS+9kyqQLWGNW92dn5ZO+dSYGPXKHMhqfVrlOrlrfqeHmqbfPyCuj774/Q33+Hq1o9SP170RoBAMztv2ux1OaTHSKwZRzaAoDhbiTfoHOx5ygpq2zrDC/0rEvXPhtMnwxvZvRlAwCoMpW23LZg8ODBFBYWJiYHW7FiBe3du5e2b98uLudWCCEhIaInLfv444+pU6dOojI3KSmJvvrqK7pz5w4988wzpnk0UCknIWvXzgihbUDDkkNcgMpOqqjl/s6+dYh6/Y+odneyBu91ek/ttK1skgp5b7Xy6hnak/yc/aiud13VeffT7tPlhMsUlxlHpm6PoGsysqgoeaVt+ULbT498Sk7DLpB9ZC3KS3IRE5IxewebYpW28tC2SZOAMt3fhx/upc8++08c37dvIjVq5C/mhmQIbQHA3FKz8igxI1d1Oj0b7REASsLrXRm5GWIHt4u9i2rEjLTDu6zrZba2NmRLqLIFAChXaBsTEyOC2aioKPLy8hITjHFg279/f3H53bt31TamExMT6dlnn6Xo6Gjy8fER7RQOHTqkc+IyAKNPQqarshaVtlDV1OlF5B5ElBFPVIHD/01B3nPWmJW2XNHLB233ZcxwWM7PT709QmmVtuVtj7D11lbKrp9Ktk6Fk4EWhraabenklbZlnYyM29z88kthSxoi+uST/fTddwNVpxHaAoC5aYa0mbmotAUoSWJWIvVa1UscPzf+nOp828IBvMZcLwMAAAND2wULFpR4OVfdyn333XfiAFDW0JZnUueetuXm6qd+2gMtOqCKCWpC9OZVqgzk7QtMFaZq3pep7keficiMWWkrTbYmhbWKAuXjK2wXrFK7trIVRXnaIyxffp4SE7NUp3fuvKlqk8AQ2gKAuWm2Q0B7BICSKUg5XMaG/5P1n5UKt6TLDbXxzD3adTmG+jYOpGGtMGE0AIDEusutoFJKTMyk69eVM5q3alWNHByMMJM7r1RM3kHUeSpRpxeVpwHAKnDv2q4ru4peaczepmh/ozErOu6k3KFjUccoIjWiwipt9WmPcP++8XraSo9DobBRC2/JtkBne4RbtwwPbRUKBf3ww9Fi58+adUB1HKEtAJhbek5RpW3zEC8xKRkAlL7zVz7qSa3SVto5bKAL95Lp77P36VIUJiAHAChzpS1ARTh5Msq4rREkNTooDwBgVVKyUyglJ0XrRGE8Gaax/HnlT1p2eRlNbjaZXmv7mtp9mWq4n34TkSkrbXlfU1BQ+YJO1eNQVdraaH18oaGeor8cTwhZlkrbXbtu0cWLseJ4p06hdO9eCkVEpFBaWo7qOghtAcDcMrKV330Tu9SiDx9pau7FAbCeSluNAhgpxC1rpW1e4WyAdiisAQBQg93JYNGTkBk1tAUAqyQFivaFjVfloa0xw1TptuS3b2dr/kpbqactX7e8Iw9UlbZShW3hv5qPj++nRg3PMlfazplTVGU7bVonevvtrsWug9AWACyl0tbV0QijugCqAG070JmLgwt5OHqo1tUMlZ2nvF0ne3wWAQDkUGkLFj0JWbt2CG0BqjrNMJWrO55p/ozop+Zs72z0DREpqGXuDu7k5+wnZkg2BW9vZ1VFq7bQltsMSJW25e1nK38updA2N8GFOl59jaa/2b3YdXkysjt3kikhIZNSUrLJ09NJr/vg9jZbtij7J3PwO2JEY8rNzadPP/2PoqOLWj0gtAUAcwvydBZtEUJ8TPMdD1DZaNvBzb7s8WW5bjersJ+0iyNqygAA5PCtCBYb2np4OFLDhv7mXhwAMDNVmCrrn/Zqm1fplTavkJuDm0k3RKa2nkp7x+6lZ1s8S6bAga2vr4vO9gh8Xm6u8vEHB7uX677Uqmml9gh5dtQmpAU18GlQ7PplnYzsxx+PkqJwdORLL7Une3tbcnFxoLfe6qJ2vYCAoipjAABzeL5nXdr0cjdKTM+h7l/upvn7b5h7kQAsGu9M1hbalpc0CaCLI2rKAADkENqCReEqrMhIZQP6tm2ri0ADAKo2XUPxTHU/mpNrmJrUIkFbpa1UZWuMSci4Mnn/2P30R+eNlJ/uqDq/fn1frdevVctLdfzWrUS97oMrchctOiOOu7jY07PPtlVd9txzbcnPTxlQc5AbEIBKWwCwDKlZeRSRkEmxqdnmXhQAi8YjjwbXGkz9wvoZ9XYzcwtDW2NMQA0AUIlgVxZYlBMnilojoJ8tAMgrYOVhakRqBOUV5FGoeyg52DlYVTisSQoyeZKu7Ow8cnKyL9bP1hiVttxWwsfZhxyquxEplDvEbBzz6JTjFrp51omea/lcuSttP/tsP6WmKicbGzeuhaqKmLm5OdL8+UNp2rTtNGlSK3JED0kAsBCuhdV96YXVfgCgXYBrAH3Zs3grhN/P/05Ho47SmIZjqH/N/mUObdFfGgBAHUJbsCgnT6KfLQCoa+rXlFJzUtX6147ZNIbSctNo84jNVNOzpskqbdddW0cbrm+gvmF9aULTCWTqyci4HYK8olZeaWuMnrbMzc2BnJzsKDs7n5zdFbTs9m/i/CktpqjNBl27trfquHwysvnzT9K77+6myZNb06xZfVV/c+VKHH377RFxnANZbZOPjRzZWBwAACzBuN+P0p2EdGpUTTnxYiZCW4AyuZ50nY5EHaFuId3K9PdLJ3egrJwCcnLAQGAAADmEtmBRzp+PUR1v1aqaWZcFACzDr/1/LXaeVA0rVeEaw6Bag6iedz1qF9ROdV50ejSdjjlN9b3rk6nIQ1tukSAPbe/fTzVapW1WXhZ9dfwr8dw1ae5Hp0/EUKuW1Um6B34u7W3s1SYi0wxteUKxt9/eSUlJWTR79kHy8nKiGTO6ix53L7/8D+UVzv48fXoXqltXe9sFAABLcT8pU7RFaBOmHFmQnp1n7kUCsGj8e8/rC7wuIR+ZJO3wlnreGsrJ3k4cAABAHUJbsMjQ1tnZnurWLRqaCwAgJ20cFBTIJtcqp+6h3cVBTtogKSDj3Y+u9ggsPl69r628PUJ5e9pm52fTqqurxPHli/6ltauv0PCxdWj88bnFJyorvD8HB1sxEZrUHmHfvjsisJW8885uql/fTxzfufOm+LdmTS8R5AIAWLr0HGVI6+/upDZEGwC0C08Mp9GbRlOASwDtHrNbrW++sXemAwAAQluwIJmZuXT9eoI43qRJANnZYXgMAGhnikrbEsNhjUDTlJW2cuo9bcsX2sqfq2ZNg6hFs2DKyM0gOl78csbfwWFhXnTjRqKYiIyrZ9avv1zsdp96aj15exe1rvjuu4Hk6mqcPsMAAKYkzVgvhbaotAUoW/9/6bSCylZp++7681SgIHq9f30K9ChapwAAqOqQioHFuHw5jgr415qImjcPNPfiAICFGLBmAPVb3Y/iMuNMGqbeSr5F52LPUXxmfPFwuCDfTKFtUXuEatXK1x5Beq64GkZ6XHa2RUMRtT2X0mRkPLkY99tdv/6KOM09cR97rJk4npWVR9HRynB54MC6NHx4o3ItJwBAReAdUVJoG+LjQrX93SjYu2jkAwAYHtqWdX1p7alIWnnsLmXnmm4nOQCANUKlLViM8+cfqI4jtAUASVR6VLHzbG2NX2n73cnvaE/EHnq/0/ti9uOKqrT181OfiExO6mnr4+Ms2saUh7QhJZ9oTb7RlVdQvMKsVi0v1fFVqy6qKn8HDKhLixcPo3v3Uui//+6K87iVwg8/DFabzAwAwFJl5xVQfmGxQO+GAfRIS0yAC1De0LYs7aS4aCerMKx1cURfWwAAOVTagsW4cKFoErJmzRDaAoB6WCoPG6XjxgxtpfvSFmqasg2DrkpbrgKTQtLy9rPVtaElf6wlVdqy7747ojo+YkQjcnKyp/Xrx6q+rz/+uDc1aKDsbwsAYOmkKlvm6og6FoDyhLa8PmFva6/qbWuIrLyiz6KLA0JbAAA5rKGAxU1Cxpo3DzLrsgCAZZCHpfINhGH1hlFKdgr5u/gb/b7k9+Nk50RuDm7i34oObZOTs0XrAWP0s5U/PnlLBH6siwctFhtb7o7F2y/Uru2tOi71HLe1taGhQxuqqoRPnHhWtEeoWbPougAAli6voICahXhSXr6C7GwxQgCgrDu42bud3hWHssiU7UBBaAsAoA6hLVhcaOvr60LBweXr3QgAlbvS9oWWL5jsvuSh5thGY8XBlPz8XLS2R5D3szXGd6Ku6pi2QW11/k2tWsWD2J49a6oFzVxxi8AWAKwNT3a0+eXu4nhSRg49Nv8IZeXm0+43eomdUwCgewewMVshSVXvzg62+OwBAGhAaAsWISEhU9W7kYfaoiciAGhOaKEZNhqbrlDT1Ly9ncVGCvd0k1faSq0RjBXaBrsH0/ZR2w2a2VneHkHeGgEAoDJxsLOlK9GpqqHaaJcAoJ2Xkxf1DO1JQa7GGxXJO0sYqmwBAIrDGglYXD9bTEIGAForbWUVsAlZCZSTn0PeTt7kbO9s0iF/pmZnZysmGuMqW3loK+3IMlZPWwdbB6ruXnyinT+v/EnZ+dk0sv5I8nBUv5+gIDcxAZrUpoENH47QFgAqF3lYxFV/CG0BtGvg04B+6vtTsfM3XN9Au+7uoj41+tCI+iPKVGmLzx0AQHGYiAwswvnzD1THEdoCgISr7nkDoZ53PbUK2Od2PEf91/Snkw9OmrSn7aF7h+j5Hc/Tj6d/JFOS2g3Ex2foaI9Q/tBWl+9Ofkdfn/iakrKStD7/8hYJ7dpVpxo1vEy2LAAAFWVveAz1/GoPTVt1Rox2kIJbeX9NANDPzaSbtDdiL91IumHw3zat7kmn3u9P617sYpJlAwCwZtidBRY3CZk0EzkAAE8CtvaRtcXOl4JV+URl5TWi3gjqUK2DCIglMZkxdPD+QZO3bOHQNjw8nlJTcygnJ58cHe3EaUlYWPmD0uj0aFp6aakY2jilxRTV+VJlsa7nkkPbK1fixPGRI1FlCwCVQ2JGDt2Jz6AwX+VOM1dHO8rMzaf0nKKRBQCgn/Ksl9nb2ZKvm6MJlgoAwPqh0hYsrj0CQlsAKI0UNMrbJ5TXsHrD6MVWL1Jd77omvR9t/PyKJvaSqm1Pn44W/3JebIwRCPGZ8fTHpT9oVfgqtfNtbW1LfIxt2lQrvJ4NjRrVpNzLAQBgCdKzleGSW+GQbFcnO7Wh2gBQ3H+R/1GbpW1owj8TtIa2hvTNBwCA0qHSFsxOoVCoQluuJvPyMk5/SgCovExRaWvO+/H3d1Ed5762XHkrfS82bOhPbkaoQJEeg2bP3tIqbd98s4sIbNu0CaYGDfzKvRwAAJYgPTtPLax1dVBuFmUUhrkAUByvK+QW5FJeQZ7W9aWy7OQ+fjuBNpy+R81DvOixDmFGW1YAgMoAoS2YXURECiUnZ4vjqLIFALmYjBiatG0SOdk70bpH1pm0AvZOyh3Kzc8Vk3W5OrhWaKWt1NNWCm0vX44TbRJY69bKStfykh6DvGev/LSux+jj40KffNLHKMsAAGAp0gu/Y90KK21DfFwoKy+fCgcfAIAW0rqCZtuo8oS2V6JTafnRuzSoaTWEtgAAGhDagkW1RsAkZAAgl5OfQ3dT75KznbPJK2Df2PsGhSeG07x+86hrSFf1+ynIr8D2CJl0926y6rSxQlvpubK3tTdLNTEAgCXJ0Ki0XTixvZmXCMDy6doBLIW4ZQltMwv7SLs4qo8EAgAAhLZgAc6ff6A6jtAWAPTZOFBVwBYYrwJWCi3l92WuSltp4i/WunWwSZ9Lexv7CgmmAQAsudIWAIywXlam0Fb5NwhtAQCKw1oKmN358/JK2yCzLgsAWBZdfVi7h3anUI9QquFRw2j3JW1oyO+LN0ps+D+NYYDG5uen3tNWmoTMFJW2mhtan3X7TPSnq+VVyyj3AwBgDXxcHaiWnyv5uzuZe1EArEYBaQ9tn272NE1qNolsyzDPeWaucv3ExQGhLQCAJoS2YDHtEezsbKhhQ0xyAwBaglRb9RX5CU0nmOy+5BsivcN607kJ58jU5JW2sbHpdOaMMrStUcNTrXVCeUhVyZoBeLtq7Yxy+wAA1mT6oEbiIJm37wb9feY+Pd6hBj3VGTuxAEpal9AMZzVbL5WlPYIrKm0BAIpBaAtmlZubLybckWZId3LCWxIASq8OrciAuCLIQ9vjx+9TSkq2UVsjsFaBrWjjsI3l2rACAKisYlOz6VJUCt1LyjL3ogBYLF8XX+pYrSM18i3a4VFeUqWtMyptAQCKwZYbmNW1awmqGdLRzxYA9GlZwDLzMsUkZc72zuRk52R1AbEmeTXtsWP3jN4agbk6uFId7zrFzt95ZyclZCVQj9AeVM3NePcHAGBNpCq/jMKqPzA+hUJh8nZDYFqdgjuJg6b/Iv+jTTc3UauAVvRE4ycMus2Mwm1BtEcAACiu4rdMAWSkIcAMoS0AaOJJssI8wqi6e3W182f8N4O6/dmNNlzbYNKA+GriVXptz2s06+gsMiUfH2eStmPz8xUmCW11mXt2Ln1y5BO6mXzT5PcFAGApJi46Rg/N+Y8u3EsWp10LJySTAiQwrvTsPOr+5R567c/T5l4UMIE7KXfon1v/0JmYMwb/7WfDm9N/03vTqDahJlk2AABrhtAWzOrUqSjV8TZtjDcMGAAqh3o+9WjLyC207KFlaudL1bBSdawxjGk4hiY2nUj+Lv6q85KykmjX3V10JOoImZKdnS35+hZNRiZp1cp4oe31xOv00+mfaP219Uab8RkAwFpde5Am2iHkFyjUKm0zEdqaxK4rMRSZmEkbztw396KACUgV1NJEZYbwcnWgGr6u4l8oMmvWLGrfvj15eHhQYGAgDR8+nMLDw9Wuk5WVRS+99BL5+fmRu7s7jRo1ih48eGC2ZQYA40NoC2aF0BYAysIUQeMzzZ+hN9q9odYiQAqHKyLQ1JxwjKtvw8K8jHb715Ov06/nfqWNNzaqnV+RjxEAwFKkF7ZBcHOyUwttpfPBuORD37nqFqzTxusbqcvKLmLEkxx2ABvfvn37RCB75MgR2rFjB+Xm5tKAAQMoPT1ddZ3XX3+dNm3aRKtXrxbXv3//Po0cOdKsyw0AxoWetmDWvlZSaFu9ugcFBbmbe5EAwEqYotJWG2lSMlPfjzQZ2dWr8arTPAmZMXv/STM+a/YHlk7nF6C6DACqjozsfLW2CG6Fk+GiPYJp9G8SJIJxfn550jfp+Qbrkp2fTak5qWJuAWPtAP55z3VKycylJzvWpDCNHdhV2bZt29ROL168WFTcnjx5knr06EHJycm0YMECWrFiBfXp00dcZ9GiRdS4cWMR9HbqVLz3MABYH1TagtncupVEycnKGdJRZQsA2lyMu0iP/v0oTds7zeQVHZGpkeKQW5Brpkpb9fYIxu5nq2uiNVTaAkBVk5NXQDn5yu88t8LQ1sPZnvzcHMkDYaLJBHgoJw6NTVOu/4P1kdYVNNclVO0RyrAusepEBP26/ybFpmVRVZCamkopKSmqQ3a2fp8HDmmZr6+v+JfDW66+7devn+o6jRo1orCwMDp8+LCJlh4AKhpCWzCb06flrREwYzkAFJeWm0bhieF0K/mW6XvabhpDg9cNFsFtsSrUCqq0NWVoq22itYqsWgYAsBTyvrUuhW0RutcPoJPv96cFE9ubcckqtwD3wtA2FaFtZQtty7MzXapud5a10KjMmjRpQl5eXqoD967VZ7TUa6+9Rl27dqVmzZqJ86Kjo8nR0ZG8vb3VrhsUFCQuA4DKAbuSwWzQzxYAylodKrUtMGZ1qHRf8lBTVYVa2FqgYkPbYNOEtoXPnSmfSwAASyb1rXW0syVHe9SwVISFB27RiTuJ4riXCyacsvrQVqP2y4bKXmmblaPeqqSyu3TpEoWEhKhOOzkpd2aUhHvbXrhwgQ4cOGDipQMAS1M1vhnBIp06VbQHEKEtABhSHdrCvwVl5WVRXe+6RrsvBSmKBcSqypEyzIZcnvYILi721LChX4UE4FNbTaWk7CRq4tfEqPcHAGCp8vIVFObrSvZ2xusbDiW7eD9F/Pv2oEbUtZ6/uRcHyhva2qqvSwypM4T61uxLDrYOBs9xkpGbX2yyusrMw8ODPD099b7+1KlTafPmzbR//34KDQ1VnV+tWjXKycmhpKQktWrbBw8eiMsAoHJAaAtmwT/QJ0/eV1WXhYbq/8MFAFWHrmF4oxqMEgdjkibikgfE9X3q04lxJ4rdv6krbVu0CCI7O9sKCcDbBLUx6v0AAFg6nuxo//TeauclpufQc8tOUnZeAW18qavZlq2ySs5U9otHlW3lrLR1tHMUB0Pl5isov0Ch1qoEiraXX375ZVq/fj3t3buXateurXZ527ZtycHBgXbt2kWjRinXicPDw+nu3bvUuXNnMy01ABgbQlswi/v3Uyk2NkNVZWvMGdIBoPLIK8jTGjRWVEDMx53sSh+2Zgzy0NbY/WxZv5r9RDWth6OH0W8bAMDa2dra0LFbCaqJytA2wbhSZKFtbn4BORh5xyRUDD8XPzHaqYZnDeP3l64ilbb64pYIK1asoI0bN4rqXKlPLffBdXFxEf9OnjyZpk2bJiYn4+pdDnk5sO3UqZO5Fx8AjAShLVhAP1sM3wAAwyptuSqWh/vzDh9Dh+KV2tNWo+drRenRoyb5+rpQYmImPflkC6Pfvq+zrzhoOhF9gqLSo6hFQAuq6VnT6PcLAGANXGVVfhwkIbQ1TaXtSytOUfMQL9r0cjdzLxKUwdC6Q8VB08W4i7Tq6iqxHvF0s6f1vr3MwtYI9rY2+MxpmDt3rvi3V69eaucvWrSIJk6cKI5/9913olUFV9pmZ2fTwIED6ZdffjHL8gKAaSC0BbPAJGQAoA8eahfgEkDezuoz43538jtacmkJTWo6iaa1m2aUIWjaetrGZ8bT1ye+FsHwx10/JlPy8XGh27dfpYyMXAoKcqeKsvTSUtodsZve7/Q+QlsAqBJ2X3lA3+64Sh1q+dEHQ5X9vLnykycmy8kvEBOVebliGL8xJWXmqI7HpmabdVnA+CLTImndtXXUNqitQaGtv7sj7XurF2XlYjJUbeumpXF2dqaff/5ZHACgckJoC2aBScgAQB89QnvQ7jG7i50vTYAhVceWFwe2TzR6Qtyes52z6vzMvEzafHOzOM/UoS3z8HASB1M4G3tWVNU28GlA3UO7q86XKovLMuMzAIA1epCSTRfupVA1z6IJIKWemjmZBZSRo2zNA8avtGVxadlUUKAQLSmgcpB2eBu6LmFvZ0s1/dxMtFQAANYPYxDArJW2Xl5OVKeOj7kXBwCsjNTj1lhBI29szOg4g97r9B65OrgWux9jhcPmdDz6OH1/6nvafnu71g2tyvAYAQD0kZ6tDGXdnNTb4bgVtkjIkPXZhPLjHsEOhTtbWV6BgpJkIS5YjyUXl1C/1f3oh1M/GCW0BQCAkiG0hQoXE5NOkZEp4njr1piEDAAMZ0M2FRI0VqaNEOkxaPbsrUyPEQBAH1Io6+akPuhQmr0+PRuhrTFxr9LzHw2k658NJp/CthNokWCdUnNS6UHGA0rLTVM737YwVtBnSL/c9Zg0mr3tCq08dteoywkAUFkgtIUKd/o0JiEDAP3sj9xPT219ir498a3a+cYe0s+3E5cZRwlZCWobHNL9VIYqVOkxaE7qZuyqZQAAS8c9a+WVtRJfN0cRKhYYGDyB/kPhAz2ULYhiUrPMvThgxAliy7q+dCM2jebuvUGrTkQYcSkBACoP9LSFCodJyABAX7EZsXQm9gx5O3mbdEg/V4z0XtVbHD857qSYAE1+P9KGiuZGilVW2haGtBK0RwCAqiajsJLW1VF9U2j1813MtERVR4CHE4U/SEWlrZWvS0gjniTSaUN3AGflSp9F9XUTAABQQmgLFQ6TkAGApVWHyqtr5fclDzitPbTNL0ClLQCAWqWtRk9bMI0TtxPoh93XqUWIF7UJ8yYHOxvycVPuHIXKsQNYOs0Tuxois7BViYsDPosAANogtIUKlZdXQMeO3RPHXV0dqEEDP3MvEgBYYR/WWp61qHeN3tTQp6FR7kdeZSrfENGstK2MG1qjGoyijsEdjfZcAgBYOmcHO9EKwdNZ2V8VTOtuQgbtvxpLBQUKWvZMR3MvDpigPULbam1p56M7VSOVDO0v7aJR9Q4AAEr4doQKw5Vszz+/me7eTRan27WrTnZ21lu1BgDmq7QdUGuAOJhiuJ98ckQ3Bzf6b+x/ZGtrSw62DpUytG0Z0FIcAACqis9HNBcHTYsO3qLtF6Pp0bY16NG2oWZZtsooOTNX/OtVOAkZWK8CKlxf0phI2snOiYLcggy+vczC9gguDtgmBADQBqEtVJgZM3bRggWnxXEHB1v6+ONe5l4kALBgKVm59OPuq0TuxUNbU7UO0Nbv1dtZvZ+utRrTcAx1D+1OQa6Gb1QBAFQFd+Iz6MjNBGpX09fci1I5Q1uXotA2J6+AHO0R1Fkbfxd/qu9TnwJcAoxye2iPAABQMoS2UCG++uogzZ59UBznHbPLl4+knj1rmXuxAMCCrT91j+LTs8jZvXiYWlHD/SqTUI9QcdB0LfEa3U25S2GeYWJDDACgqnIpnAxJ6nkLxg9tT95JoAkLj1OwlzPtmNbT3IsGBnq62dPioCkiNYJWXF5BXk5e9HzL5w2vtEV7BAAArSrv1ilYjFWrLtL06TtVp3/5ZQiNHt3UrMsEAJYvPj2HSGFHinwncrB1VrtsVfgqavVHK3pj7xtGbcOg2TuXw9yPD39MHx76kDJyM6gy2nB9A7229zXadHOTuRcFAKBCPPvHCXps/mG6HpOmdr5bYWgrVf+B8UNbD2cHSsvOo9i0bHMvFhhRfGY8Lbu8jDbdMGxd4rmedWjLK91ofOeaJls2AABrhl1aYHKzZh1QHf/kk970/PPtzLo8AGAdhrWqTj/s6kq5iV1p0iO9tAat8gnEysPF3oWG1xtO9rbqP4vc43b11dXi+MutXyZXB1eyVseijtH1pOvUIqAFNfNvpjpfqmIuKLDuidYAAPR1+m4ixaXlUH6B+kz3UrVfOkJbo0rOKAptA9ydxPGkjFzKzssnJ3sMi68MpB63hq6XBXo4iwMAAGiHSlswqYyMXDp//oE43qxZIL37bndzLxIAWIm6Ae5U299NHI9OzlK7TGpjYKzQ1s/Fjz7p+gnN7Dyz2EYI/ydvoWCttt7aSrOOzaID94p2pJniuQQAsHTp2crvO9fCytrilbZoj2BMOfkFqtCWDw52yt/V+LQcMy8ZGOqHUz/Q0PVDxYgnOWkHME88DQAAxoNKWzCp06ejKD9f+ePdsWNIsZlGAQBKEuTpRLfi0ikmVT20VVWHVkCQyveVp8iz+lBTeq60TbYmvxwAoDLj6lqpj6abk732nraFoS4Yx9LJHSmvMLi1tbUhf3cnikrOotjUbKru7WLuxQMDxGXG0e2U25SSk2KUSts1JyPpQUoWDWwaRPUCPYy6rAAAlQFCWyg33qM6d+4JiovLoBkzupGDbPbP48fvq463b1/dTEsIANYmNSuXtp6PIp+gs9TG/zA9UCQQ0VMmqw7NL8inzLxM0dOWWyXIiftSWH+oKT1XmpOtSX18rT2UBgDQR4asilaz0tbV0Z4c7WzJzhZFBsZmb1f02xPgURTagnWR1oWkUUjlrbT96/hdOn47UYysQmgLAFAcQlsot61br9FLL20Vx/39XenFF9vrCG1DzLJ8AGB9wqNT6e2158mvRjjluJ+iDrmNtVeHGqkP67WkazR602jyd/GnPWP2FA81C6w/1ESlLQAAh7bSxJM25GSvvhOrX+NAuvrZYDMtWdUh9bXFZGTWR8F7sbXsAJZCXEPXlaSqd6nKHQAA1KGnbRV29Wo8/f13OOUW/liW1eLFZ1XHN226qnbZ8eP3xL9OTnbUvHlgue4HAKqOG7HKGb29Xe21V4cauT2CdDua9yM/z9r7tOmstK3AVhMAAOaWnp2nqrLVbNuFNl7Gl5WbT+MXHqOXV54Wx1nrMG/q3TBAFd5C5VmXkEJdQ3eiuMhGagIAQBFU2lZRCQmZ1KnT75SYmEVffNGX3n67W5luJykpizZtCled3rfvNmVn55GTk7247No1HtJM1KpVNbW2CQAAJbkRmy7+dXawIconuhOXqXZ5gGsAdQruRI191StwjV2FWpkm6lI9xsJ2CJLuId3J19mXanvVNtOSAVQtMSlZtOZUJL3Qsy5CQjPIzVeQj6sDuTtjM6gipGTm0v6rscQdJ+aMbSXOm9qnvrkXC4y8kzvMM4w2j9isdT2qJFmFoa1mqxIAAFDC2koVbmnAgS3btetWmUPbtWsvUbZssobMzDw6eDCC+vSpTSdOoJ8tAJTNjRhlpa3oS0BER28mql3evlp7cTB15Qhb98g6MezPz8WPrBn37WWaG1SN/RqLAwCYHlcajp1/REywmJaVR9MHNTL3IlU5Dat50OkPBmi9LCE9h6avOUe5+QW05OkOFb5slVFSZq7418vFQUxCBpUztHW0c6SanjUNvr0MqT0CinsAALRCaFuFQ1tJeHh8mW9n2bLzxc7bseOGCG2l1ggM/WwBoCztEap5OdHdBB7OqhDtCUxVlVZSpW01t2pUGUxpMYVG1B9B9bzrmXtRAKqkWVsv09YLUeTp7CBO/7L3Bnk4O9ALveqae9FAZuflB+Lf/AIFJiQzgmRZaKspOy+fnOwR1lkTHpkT4h5CHo7GmTQsU2qPgEpbAACt0NO2CsrPL6Bt266rTt+9m0wZGcoVKkPw3+3de1scDw31VJ3/7783tUxChkpbANC/Eu1uQoY4HujpKP7NL1BWQJm6ClVbpW1lwdW0PUJ7UHV39e/j6PRoOnjvIF1JuGK2ZQOoCvh7LSIhk0a3DaUZg5UVtrO3XaFNZ4vWl8C85EO0M3KUvW+hfJIzioe25yOTqekH26j/t/vNuGRQFu90fIe2jdpGj9R9RO385OxkmnNqDv10+ie9b4t3jGTnKXeao9IWAEC7yrt1CjodPXpP1RpBcu2a4dW2K1cWVdlOmdJG9K1lp09HUWxsuiq09fBwpIYN/cu93ABQNdyJz6ACBZGHsz25O9kTKfinypaiU4q+tw7dP0SdV3SmCf9MMHml7byz82j2sdkUlRZFldHuu7vp+Z3P0/xz8829KACVmvQdFuTpTM/1rEvPdlf2kf52x1URXkDFWHnsLo2Zd5iWH71T7DIne1vRe1VeAQhGao/gqtwJK467OFB6Tj7FpmZb/SSfoJSem06/n/+dllxcovff8Edt09Ru9NeUTlorsQEAAKEtVfXWCPq2SOD+tE8/vZHWrbssTvMK1tKl51SXP/lkC+rfv07hZUTLl5+nyMgUcbpt2+roYQUAeqvh60LLn+lIs0Y2p3c7vUthKT9RTlw/iknJLrqSgigtN40y8pQVueXl4+xDg2oNoq4hXYtdtu7aOlp2eRnFZcaRNTtw7wCtv7aeIlIj1M63t7VXC64BwDQeJBeGtl7O4t/X+jUQQQX3t91+MdrMS1d1nItMpmO3Eyi68PWQ4xY8ro7K70QOFcE07RH8PZQBbmZuPqVlo6K5MpBGKhmyLsHbh81DvahjHT+yt0MsAQCgDb4dqyDtoW3JYcSzz26iRYvO0KhRq2js2DW0e/ctungxVlzWpUsNqlPHRxXasq+/PqQ6jtYIAGAI3mDuWs+fHm6h/O6o5qkMOOSVtra2yp+vvALjbOzV96lPX/X8it5q/5bODRFpsjJrtfjiYvrg0Ad0LrZoh1tlenwAlqygQEExqdlq32luTvY0oUstcfyv4+o7U8D0PdPrBriX2CIB7RGMI7PwefRysVf7nRcjaYhEtS1Yj8+Pfk5jNo2hPXf3qJ3PE7Yy7AAGADAuhLZVTFRUKp0+razm8PZWbjSUVmmbnJxFZ84UVYCsWnWR+vVbqjo9blxz8W+3bmHk7KxcAbt3L1V1OUJbANDl1303qPfXe1Ub0doESqGtrCpKamNQERsHFXlfpqSrBURleXwAliw+PYfyCngyRaIADyfV+RO71KJPhzejX59qa9blq0pu6hna3oxNN/i2f//vJg34bh9FJhpnFEhlMLVPfbr+2WB6b0gTtfOlzwFCW+tyN/UuXU64TCk5yhGVEjvbwnUJ0n9dgl/7X/Zep7+O3zX6cgIAVBYIbSs5niwsRza8Sz4B2eTJrcXGQ2mhLbdG0MXe3pbGjGkqjru4OFD37mHFrtO+fUhZFx8AKjFeWZ/1zxUxNPijTZdU5y8+eIvWnoykpIwc0RvtvtMv9PKQbBrROqRcw/BKwrfDk5Fp661XWSpRdU22VlkeH4Ale1A4UsDPzYkcZMOAfd0caVynmuSMSXgqBP+uxKUpJ7WsE+Cm9TrNQ73F61LbX/vlJfl0y2W6+iCNZm3FxI5yPPRd8z0e4F4Y2qYhtLUm0nqS5rpEWSpt7ydl0pfbwumHXUXbpwAAoA6hbSU2Z84Rqlnze2refC5FRCSL87ZuLfpRHDWqMdWs6a1qj6BrIgBpQjE2e3Y/evjhBqrTQ4c2ID8/V9VpeYsE5u/vSjVrehnxUQFAZfHPhaKJvQ5ci6Xbcenie+jL7eH0xuqzYsP6YtxFOhV3gIL8MqiWbANaqg41VtC4N2IvtVraisb9M67YZdJ9WftkKboqbVUBeAEqbQFMpUChoFY1vKl5iKfu6xQoRKgIpiON6gj2chbtKbThyuc1z3emZiGGr79+N7al+PdSlHoVIhSHSlvrJK136doBbEhwm1FYWORSWN0OAADFIbStpGJj0+m995S9hq5ejac+ff6gO3eS6N9/b4jzfH1dqEOHEGrY0E+cTk3Noeho7cOTjx27pzr+yCMN6e+/H6O//nqU3nijM/3000Nq1+3fv67aab4PntQBAEDTU51q0p9TOpGHsz3xxOnz/7sp+tbySry9rQ3V9HNVbRxofo+YotJW3K6Wn0Wpf661V6KqHqPGhhbaIwCYXotQb9rwUldaNKmD1suP3Uqgft/to7fXqvecBuO6EaNseVAvUHtrBGnCrDqy1glnIpIoTs9q0D4Ng8jO1kaMIOEdkUD0yeZL9PLK03TpvnqQ3bKGF/VpFCgCdLD+StuyhLZZuYWhLUYaAADohNC2kpo9+yClFQ7/YtevJ1DbtvMppXD29YED65Kdna0qtC2pRYIU2np6OlGDBn4iPOGWCF9/PYCqV/dQu26LFkEUGFhUDYd+tgCgC3+XdKrjRwsmtBen15yIpMM3lN9DYX6uYgixtOJ/JSqNlh25o/pbdwd3ahXQipr4qffIM3blSGUKNaXHKPWdkzT2a0zT20+nxxo9ZqYlAwBfNwfRQ3X7xQd0PaZoXgBLd+BanOhLfuJ2AlkD7ivME8Hp6mer6dCNOHp8/hGavOSEXqMtvFwdqFMdX3F8x6UH5V7eymBveAxtOnufkjNz1c6f0qMuLZzYngY1CzbbsoHx1pd4vWz10NW0ZuiaYiN6dEGlLQBA6bSPCwKrdv9+Kv3883FxnCcGCw52p1u3kig+PlN1nYceqi/+bdjQX3Uet0jo1Us5i7Hk3r0U1aRiHMDa2pZcNcuX9+tXh1asOK/6GwAAuey8fMrKKRAbt6xDbV9qV9OHrkSn0t9nle1YpA1qaePgz2P3KDfpAo1uF0pO9nZUx7sOLX2oaEJEo7UO0Ag02Xe9vqO8gjwKdA0kayY9RqnvnKS2V21xAADzqRfoQQOaBNG/lx7Qr/tu0lejlcPsLd2Ly09SSlYerTwWQe1qKcNKS/ZExzBx4FYU+uCAlwd6nI1IovP3kkXFtC6j5x0idyd7qh/oQQevx9O/l6Lp2R7qbcOqouTMPFUFM1TeSltef2rk28ig28pEpS0AQKlQaVsJffrpfsrKUq4gvfRSe9qzZ4JaX1le+eRKWyavtOU2CiX1s+VWB/rgtgncy7ZLlxrF2iUAAKw5GUldvthFv+5TtmthXz7agg7+rw+F+bqqhbZFYary5yqmcLSAsZVUaRvqEUq1vGqRq0NR/25rNK3dNPq659cGb1QBQPlN+eMEdZu9m3Zd1l19+UIv5TrT+tP3xAQ91sCvcDKp4a2tayd9aUUIEm6T0Luhcofd9ovROq/HvYiP306kPeGx9GjbUHHeiTuJerdVqMwBX0phha20o1Zbn+GYVOVEfWD5PJ08yc/Zj5zslJ/98sjMUW6vuqLSFgBAJ4S2lcytW4n022+nxHF3d0d6++2uYrIxDm5r1FBOfjF4cH0KKJwxV73SNr7Efrb6Vs22aRNMDx68SQcPPk2O+BEGAJm8/AJRRZaek682gzpvGHMVjjRJTN3C7ygpTPV0dlSbgb2iJumqTDoFd6KBtQZSgGuA2vnJ2cl0OuY0XY6/bLZlA6js7iZkUGRiJtnLvvc0tQ7zoc51/MQQ/t//u0WWLi07j27HK/u2Ng7WPcGatRvQNEj8++9F3YH7yTuJ4t86AW5iArPH2tegGYMbif7sVRlXUubkF+istJ2x7hz1/WYfrT4RaYalg7L4sc+PtHfsXuoR2kPtfB6RNP/cfJp3dh5l5+u3swKVtgAApUNoW8l89NE+ystTrhy99lpHVThbu7YPnTv3Aq1ZM5qWLRuhun5IiAe5uTnoFdrqW2lrSAUDAFQt3K+RwwsfVwd6rEONYpfn5inIyd5WNQmMFKZ6uygrOniiMhaREkF9VvWhoeuHGmW58gt0V9quvbqW5pyaQ1cTr1JldDb2LI3/ZzzNPDTT3IsCUGlJO5x4uH1JpGrblcfuUkJ60dwElig8OoV4pHSQpxMVKBTFqoO5BcHzS0/S04uPix125nbtQSp1/HynqHo2RK+GgSJ8vRaTRjcLdyxq4ipb1r6mskXEF6NaiJ6t3q7KHY5VldTHlidnc9NSyNE8RNlu4t8SqpjBsnta9/1mr2htpSAF/Xj6R/r5zM96h7aPtAyhlc92oik90UYEAMAooe3cuXOpRYsW5OnpKQ6dO3emf/75p8S/Wb16NTVq1IicnZ2pefPmtHXrVkPuEgzAPWmXLlXOOuzt7UxvvNFF7XI+b9SoJuTj46I2ERBPLiZV6eYUNoSXVrZPnFC2R+AJx0JCKm8VBQBUjAPXY8W/o9vVIFfH4m3VG1bzID83R2pSWLX1S99f6NS4U1TPtac4HZ2sDD4KqIBiM2MpLjPOKMsV5BZEPUN7Ugv/FsUu23RzE/1+/ne6mXyTrNm+iH207fY2SsxShguVbaI1AEvFM6QnZuTqFdp2r+9PTat7igq0LeeKWlRZoov3U8S/D1KyqcNnu+iXvdfVLj93L5m2XYym3VdiaMv5KDI3HsnBy2roiA2uEO1c16/EycWkidja17b8vr7mCG29XRzENoemfk0ClT2DI5MpKtk6WoJA0Xt+8pLjomdxp9q+ZCuLFQoK9FufqOblLD5bjaphGxMAwCihbWhoKH3xxRd08uRJOnHiBPXp04eGDRtGFy9e1Hr9Q4cO0eOPP06TJ0+m06dP0/Dhw8XhwoULhtwt6OnPPy+oJlZ4660uIqTVh9QiIT9fQTduFM3+e+1aPCUnZxtcZQsAoMulwo38VjW0T+by/sNNaP/03qqZhHliCwc7Bwr2UvaTlTa2pYpYqX1CeXWp3oV+6vsTvdDqhWKXqUJNPTdCLNWsY7PorX1v0Z2UO2rnS5OvGeu5BAB1Ui9uHkXg6VLyHMAcbPH34IpnOtK4TjXJGr7PpXY2JwqrTSXy6sm5e2+oJjAylxux6Wo90w0xoGk1naEth/LnIpPF8fa1fFTnJ6bniB7uUqBbFaVllTwJWaCHM7UJUz5nO3UE4mBZ3jvwHj268UmatGItZecVUONgD9GvWD5SiXesAwCAGULboUOH0kMPPUT169enBg0a0GeffUbu7u505MgRrdefM2cODRo0iN566y1q3LgxffLJJ9SmTRv66aefjLT4IHfkSFErg8cfb6b338knI5O3SFBvjWBdE0wAgOXh4bFXolPFcamSVpOjva3Wno9SdRpXScmDVKmtgSkZOyA2F119e1FpC2BaUlsXrirTVm2oqVMdP+pSz1+v65oT9+hl4zvXEv+GP0il5MKKYnZP1i6Bv/v3hMeQOV2PKeyZHmh4aDuwaRB99WgLmj++XbHLOLDlvq0BHk6qyTTZ3H036M3VZ2npEfUdZVVJu1q+dP2zwbRhaled1xnQpLBnMEJbq3Am5gKFJ52jjPx0sZNi/lPtyMleWq+wMWh9Ym94DC09fJsuRyl3AAEAQHEl7+4vQX5+vmh9kJ6eLtokaHP48GGaNm2a2nkDBw6kDRs2lPVuQQeuXjh6VNnEPyDAlWrV0l7FVnpoG6djEjJU2gJA+dyKSxdVGdzXTr5hWxLujXY35S71CX6U5o1ro+p1KwWp+m4YHL+dQG+vOUcxqcX7rL3/cGMa2z5MHD9yM56eWaLsd9ixti99/1grVajJ/dqsmRQ629qqh+KGPpcAYBhphEBQKa0RtHlozn+iDzjjDPeRltXp42HNRI9Qc1s6uYP4TnVzsqfFh26L7/hTdxOpd6NAcfmcx1rTOw81pp/3XKc/Dt8Rk1D2aaQM6MyhaKJLw0Nbrgjltj661sF5Arlgb/VQnsPI+ftv0u7LMRSflk1+7sre7JaAl/lmXHqZngtD8Y5YzxIm4OMq5ln/XKHDN+JF6M9Vm2CZIhMzKCIhnciBqJavOy2Y2F41Mmrr+WhSKGzIxkZBp+4m0ADZZNe6rD4ZSVvORdHMoU0q9WSGAAAVGtqeP39ehLRZWVmiynb9+vXUpEkTrdeNjo6moCD1lTM+zeeXJDs7WxwkqanKyizQ7dq1BEpMVG4UdOoUalB1htQeoXilbVEvtXbtUGkLAOXj6eJAbw9qJHo16jtZ4aF7h+hc3DkaVGsQ9a4frDpfVWmrR/UrTz7z9KLjlJqtHKapKTdfQSsur6BvTnxDbfx6UVp2H3H+risxNHnJCfKtY1NhVb3mrLS19kpiAEvFM6O3DvPWOcKgJPx9mSb77lp+9C7l5hfQ7FEtzF6Jy/cvBdHtavqI0JZ3kEmhLePLp/auR/a2tjS5e22zhpQ3Citt6wUq2zkYS8c6frRySlEBhKR1mA/V9ncTz8v4hcdo5ZRO5OnsYBF9Zp9acFRUPx94u7cIpM2Jn6P6ge5iorfd4Q9oROtQsy4PaJeTVyDex7keBcRrDTMeaqz2fh7crBrNOG1LCiqgX/ddowENG5R6m1mFc6m4apmkDgAAyhjaNmzYkM6cOUPJycm0Zs0amjBhAu3bt09ncFsWs2bNoo8++shot1cVSFW2rGNHw6pipYnI5KFtdnYenTkTrarE1bc/LgCALrzxLs2Mri8pSJT6rmpWh3L1K2+MlxRe1PB1FRvVqVm5NGtk82IVaj5ujrT+Ri7lFOSQl6sd7XurF91LzKTnlp6kY7cSKNQpVYz4s/ZKVGn55X3n5Ket/fEBWKp+TYLEoSyWPdNRtJZhXMX6xqqztOpEJHk4O9B7QxqbPbiVtK/lK6rmpL62GTl5qskmAz2d6YOhxttOKAturZOeky++/8N8yxba8uvAFcW7LsfQ/PFtxWtQEr6vBRPa0eh5h8WkbZMXH6c/nu6oqkw0F09ne3KwsxUh3MIDt+l/gxuZ7L7WnowUbTG4mparxHV5Y0BDsre1oW71S6/OBPPg9lWv92tA758g4jUzH1f1bUPeGe9ga0c5BXniu4oPUr/iknZKMWcHhLYAAEbpacscHR2pXr161LZtWxGutmzZUvSu1aZatWr04IF6fyI+zeeXZMaMGSIUlg6XLl0ydDGrnCNHikJbrrQ1hLu7I4WEeKi1Rzh37gHlFO79xCRkAGAuUpBoQza09XwULTxwi9Kz88TkZA19GlJj38alho28MTB3XBtaOLG9aK9Q089N7cCVItJtONrZi/O4nyQP+3N2sKW4NGWPxjwrr7RVBeAalbbV3KrRy61fpolNJ5ppyQBAlxBvF9V3FVcgfvloS3H+qhMRdD9ZOcLKHHhisWeWHKddl5Xr+e1r+4p/z0QmUURCBrX6aIeyKq8wcJaTQuiKxNXKHWr7Uusa3iJ8KgsOYVccvUuHb8bTvqux4ryUrFwx4Zgu/Jvzx+QO5OFsT8dvJ9Jzy06KsNRcpJ2cL/RU7kBdduSOqLw1lbORSbT5XJQY8VKSQc2qiR0bCO8s29CW1am6j7PWHcBs4aAF1MnpQ1Lke9C8vTdKvb0MVaVtmTs2AgBUeuX+huTZtOWtDOS4jcKuXbvotddeU523Y8cOnT1wJU5OTuIgSUlBc/LSHD2q7D/LBRdl6T/LLRLu3Uul+PhM2rfvNi1ceEZ1GUJbsEa8gcZVLdyXdNqAhuZenCqPNxS3XYimRsGeVNPXVe/2CPJK23fWn6ekjFxRidMgyJPWPLKGZm68QK0+3qn1b3s1DKQfHmslNlC5qogPpd2PfCOEN/DnjWtLU1bGUWZ8P6rWtT1ZM/691rahFegaSFNaTCFrVlCgoA83XRShyJJJ7UVlX2W3/nQkfb/zmuhv2rNBgLkXB0pQ2mgAQzzaNlQEoc1DvESgay4Hr8fRgetx1K+xsoK4lp8rTe5WWywXTyjFE3OlZOaqfe9ycDd72xVyd7Kn7x9rXaHLWy/QnVY9V/L2R2n4NeSK0Xn7btC0v87SjHXnKTVL2bpibLsaNPvRFlr/rml1L1o8qT2N+/2YaNEQl5ZN1c302i08eFt8dzzdtTY1DPIQk8dxcPtS73omuT8pEPZy0a8txLnIJHry96M6L+ff9TljW+m9DgHlk5WbTx9vvkQv96lHwV7K96xCx6gd1jKgJb3dpy7tPLtPfA9cj0mleoEeJd4+Q3sEAADdDNrVzBWw+/fvp9u3b4vetnx679699OSTT4rLx48fL86TvPrqq7Rt2zb65ptv6MqVK/Thhx/SiRMnaOrUqYbcLZQiMzOXzp5VVjo0aRJAnp6GT3Qgn4ysV68l9McfZ1Wn27dHP1uwPutPRdLRWwn0w+7rlJ1n3RWSlQEPTX1h+Snq9+0+sTFflj6s1QqDuGhZdVlWboHYaNZ22HT2vpgAx6D70WjDwBuI34/qRz8/OpR61jNfP0ZjeL/z+/RJ108owCWg0gViH/x9QUx0xDNQ/7r/JlV2e67EiGHyd+Iz6LMtl0RoDZar/3f7qesXu+nSfeMUITzeIYyahXiROT9zlwpne29S3VMVaL7/cBMa3jpEVYU6oKl6SwieiHLn5Rj6++x9uhuvnFzN2oxoHUIOdjbid0wKbFmLGiW/Hm1r+tKiSe1pzQudzRbYsn8vRtOFeyliB+jzveqI8xYdvKUKz0wV2nJPe33kFyh0/qbzoV/jQAS2FYQr4l9ZeVpUl09ceFy8NszFwYVc7V3J3sZe5w6SgU2Uo2rn7r2pV6UtKqwBAIxUaRsTEyOC2aioKPLy8qIWLVrQ9u3bqX///uLyu3fvqs1K3aVLF1qxYgW999579M4771D9+vVpw4YN1KxZM0PuFkpx6lQU5RUOtTK0n6220FZu6NAGZarcBTA3ntBCwhsobWuW3FcLTOtSVLL4t26Am0Er5/IKWK6e5IlT7sSnE5EyeHxjYAN6rqdyw1ObMF9Xg+9H00PNiyZA0+zVaE0G1x6s9fzs/Gy6mXRThC6NfE3X29BUvtoeTsuO3FWdrojZ0M2tZQ1vEdqdi0ymqw/SaPeVmDL3TAXTB5x3EzLEkHgeIm/s2z5yM0FU3vaowGpr3gmXkJ4j2gU0CFKvouN2AYdvKFttDWyq3g6N37O8nPuvxtJv/92kT4ZX3PYAP0cljbbQV8NqHnTsnX6UmFHUEoF71EpViCXpVEf7unZF4deMJ4pj/ZsEUTUvZ/p6+1W6l5RJq09E0FOda5m90rZxsCftfqOn1svyChTF3m9gGrwjcPqac6JaltuJzHykiWo+gHWPrNP5d6vCV1FmXiaN69pL/B1X3+vT0xaVtgAAuhm09rhgwYISL+eqW02jR48WBzB9awTWsWPZZlwdMaIxzZp1gBITs6h371r08MMNaMiQ+lS7NoIusE7SZCjK4wkIbc1MqjAzdPZ09Upb5Ur9+xsvUquaHvS/I+NF2Lpm6Bpyd3Qvd/gh3Y+mfRH76GriVeoQ3IF87erTuAVHaVKXWjSxq3VX3krupd2jMZvHkIejBx16/BBZE+6r+Uth37zPRjSj0W1rlLlfpTXxdXOklc92ou93XqXf/rtFv+y9Tn0bB1rMpFRQhCsapR6mAR6Gj4QqydpT9+jN1WepToAb7Xi9Z7FJFk29E65egLvaTjiuxPv236uUm6+gOv5uWnegcC9VDm25J+8rfesb/TnRpeeXe8TnY8nT7Uscrq0PnrySD+WpYNx6IVqsl1RkiwvuP8zFkvw7zBN0sik96tDMvy+KCmhLCG35/cR9gEvzICWL/jzG76F6+N4zMl4f4vfEutP3xHfKz0+0oS519Zsg7uczP1NCVgKtf6Qr/fB46S1Qfnq8taiglt6PAABQnPWVCoFRJyGThIV5UUTE68S5haOjHcWkZNGzS09S74YB9Fq/BkZcWrDUFTQearvrSozqPF4HHtS0mqiEMUZ1SkXiDSJpdmZHO9sK25AF3XjmbPlQWn399fBflFeQR64OrrTTvWhSi7Un7tPdVGV1JV9eXtXdq1OHah2olmfxjdZ/7/xLf9/4m163fZ3yEzzEkPQPN10id2cH0V/SWuyN2CsmdOtUvRM52RUFJVJQXdqEbrq+O7gFxdbz0fTpiGbFZoqOTMyg1/48I4ZLlve7JDY1W1QqSiFRZk6+6I/JZgxuRE92rEmV2YV7yeLwWIcwcdrNyZ6e7V6Hlhy+Q6fuJol+vtyHWZ8dKI//dkTn5c92r01T+9QXx2/FpdPwnw/qvO64TmH01kDrq86uSNEpynYuPq4ORh8CzJM3fbzpIt2MTacdl6JpUDP1UQGmcvGe9u/zAoWCFh+6raqY1KZTHV9qHeZNp+8miWH50wc1Un2X/LT7Ov1zQft3SWm4UpR7zXKP5671/IsFfNKkbQHu5u93zRWMHIhN7FKLPnykaYXd7/aLD4pVQI9pV0NU3PYv7E1sTPyacnWvIaGtPrjl1WPzj4jvp9SsXHp3SONyBbf/nI8S/cF51M7INtbzm66vWVsv05/HI3RevuWVbhTqowxNv9txlRYevCWCVH5Kvx3TUlRl64vXMeSjlxj3TOYRMZLu9f3px8dbi9eso57V59KOdQT0AFAVWVcSAyVW2rq5OVDTpmUfHufgYCcCW/b9rmt0NiJJtbIFlRv3fuUNCK6IkA5cHcQreTzRhrWxt7OltS90oYsfDaSrnw2mZ7rrHj4PFUPqf8gTshjCzcGNvJy8yMHWQTW0dFir6vTekKINXfnGQVkNrzecFgxcQOOajCt2mdQygUPNZ7rXFhO4sOlrztK2C1FkDXiD5+XdL9PU3VMpNSdV5+MzFAe2X/97Vby+ExceEz1lJTGpWTTu96N04k6i+C7hoKI8vVc/2XyJus3eLXoyMqfCitpX+tSj5wpnQpd22vBEOxvPKH8buXdmfJr2CVOtxfWYNBq/8Bj9b9151eNi3DJE2nEwX0cvXw7OuQeuPFiTf9drHrhPdFmum5yRKyYRAioWGLIgE0yOxxN6TehSS1V1LgUbJeF1uwPXlO0LykrVz1YjmOWdMvx+dHGwo9f6KYN/TRy6cLUtW3r4jminwDiw/WaH9u+S0vAOnFn/XKEbsen0zJIT4jHK35cTFh4TxxtV8yAvV+OFh2UlBYN/Hr9bYevZ3Nbnv2vFew3zDm4OcU3RJ5Yfm7eLgxj9EOJjvIpiJ3s7eqGX8j30+4Fb9ONu/XrXa7P7ygN6eeVpMSHbG6vP0uZz98naLThwi+4nZaq1ICjpe1z+tZGVly8CW3tbG/pkWDMa1qp4i7w39r5Bz+94XozS0SStTyio6EZ5pIH8/jafi6L/DPwOyi3IpQUXFtDv538v07oKAIA1Q6WtlYuKSqW7d5XD1Lj3rJ0RKiJ5JWv9KeUPsTQrMFRu3COU+0lx787nCzemLt5PpvfWX6CHW1RM5Y4pcCUamB9XwnB1aknVV/rgXohnZw5QVexwRQdvGJh6BV5eicqBw3tDGovHtPpkJL2y8gwtmGhP3etb9uRe8udIswWENJlIfkG+wT0i919VbnjxEF/ui/jUgmO0+vnOVNvfTbzmManZFOTpRPFpObT+9D1yc7ITG4KGVsvwdxRvTHPmK238800cfadvsTBsw5n7Ysh4sJczta7hI6pKOZhYOrmDCILuJWXRU52spyo3IiFDhN/829wsxJN6NwpUu3xK9zriMyHtTNCsTua/jUjMFENcuTKTq553TtPeM1KqCJWE+riUeF3ps8ih+LgFxygyIYNWTulk1kmyLDW05WpGU+BqTe4PezYymQ7diC9WZSoXHp1KExYdo4zsfPpjcgdRKXsrNl30SDYEj17hYFbbyInZo1rQR480LfH3l9ct+X3IOyP+OhZB9nY2IrDV9V1Smr9k4WejYA+q5af8m/TsPJq4+Jjohc5tGOaNa0uWoGs9P2oe4kXn7yWLyuRp/U0/oo2/q3kiuBq+LiK81oYnI+PvDGMNVfdzd6Jdb/QS1f2ezsYNy7lCOC0rjz7efIm+3XFV7MB4upT+qZqO3IynF5adEr1ypfcdt9Z6uIX1TsDMrXK+3BZOCw/cou2v9xDPy9Q+9Wh8Ca0v5L+hPHqD2wzx7wC/ftociz5GSdlJlJVXNClsSTuBR7YJUfXcXnDgJq08FiF2MvHIkDUnI8X2B0/wV9J6gaOdIz3T/Bk9nwUAgMoFiUal6mdrnAnDlhy6LfbK8sYhD2GBym9s+zAa0KQa5SsU5F+4ksYbVD0bBJC3a9n7tpkLD53jSgwJV/el5eQZfaMB9MMbzIxDNO7FaYivjn9F6bnp9HzL56maWzW1IZZ2tnaiNYIxKm1LIm2EqCYrs7WhL0a1oPScPNEWYMofJ0Ug2K5W6UPTzUW+AaU52VpZK225qm7J0x1o+8VoESQ+Pv+IqJLjkJDDlva1fGnZMx3Jz82RzkQk0Wt/nREThvHnUBoSrS+uIuXAlr+TpGpt3sDTVr3IO5q4bUJUchYN+eE/Ss3OE8HPyTuJNHXFaRE2Pdw8uFw9KSsKtyriHso8xJ6/k/94umOx77Fa/m70tpbnkysMn1pwlG7HZ4hAomXh7PY8RJ9vSx/8ParPdXliPg8ne/Fcc0Xwquc6630flV10srLKO8jDNKEtBytj29UQbTI4CNEV2vKOD34v8SiaVjW8RXVd11m7ydXJjvZP7632m1man55oo5pJXlugW9oOU/4OfWtgQ/H+7tUwkAZ9v1+cz9W5k7rWFkPfs3P5d9xWr51H3NeZvftQY3qiY5i4fw4gpyw9Idow8O8Gf0fzZ8USiGrjXnXpxeWnxDr3cz3qmHwnc6CnEz3Ssrp4DrSFY4duxNErK0+L78rVz3cx2v3y+6F5qGl24nBIy5Xa3NqAw1t3Z3sR5uqDRwVwVTYH2X0bBdIv49rQvxcfWHWhwtLDt0VgyyZ0qSkCWxbo4Uz6tnHmbQBpO0AXaV1B28St2tYneDtC2pbg1jurT0TS4ZvxtDc8ht7bcEFU9VbGthQAAMaC0NbKGaOfrRxXJUj9yF7oWY9SsvJELyLuC/psDwwxr8y0BRjywJZ7h/FKrrahUpaEh2G1+XiHmMiCAyVeKfzw74uisufbsa3MvXiVAg89/3XfTXq9f4Nis4NrUz/QneY+2UY1S7AhNt/cLCa1eKLxEyK0leOK0TzKM0ql7Q+nfqBVV1fRU42foudaPlfqRghviH4/tjWlZ5+gfVdj6VpMmphUhjeGefj6ulP3aM5jrSxmp4c82NastOXwW/M6Jbkdl64KP7iCdXhr5XcCV+6NmXeYbseni6CkureLqi9lTT83SsvOo3fXX6BtF6NFYOHh7ECHb8TTi8tPqt0+T1405/HWqgl6uM0CVzUzaUhsSTiUfKZbbTFcmkPE6l7OIjzmf+dWvyH6Ky85fNsk/dr5++e9DedpxyVl70hN+6b31mvnEe946vT5LvGZ4RYEXPG6bHLHUnd6cGg3f7+y9zOHERk5+aLCcPkzHfWa3b6s+H2wYGI7euK3o6J6UAruMbkMkb+HI7UJ86YGOqobjYHXz5YdvUsHrseJdiBhfsrn/bMtl0QlG+P3Ar8nuMpy8aT24jXjwPZBSjZtPH2fxrRXhl0cxn606aIYwqyt3QL3zZ01snm5e8XLfzv+mNxR/Fa/2re++A7lgJVJ4RFPuMfhJl8m+vg+0lS0QWKbzt4XFZJ83ac611T1DeZKfx6KzVV8/HgbVSv7KA9T4MfPk7XdjEsXn/VpAxqIwNpU+Lu4pD7B/L2bkpknemMfv50gdrqVx8HrcdSulo9BOwPKgt8zPJyfWwJwCx5e15O+JxPTcygxI0frxGbcO5l/kzrX8aOfn2wjlnNoS/UKW/4sWMqcCLxzgkNmblmzdHJH1fm8w0Oq5k/MULYamdq7Hk3pUfpvZVkZGtrK8e86rzPw99Kuy8q2PbwjtTSRqcrvMV4PtLdFfAEAVQt62lo5Y1farjx2V6zk8p52XjHmDWpuHv/D7mtiOHBF4yoMiT692sAw3Ovw2K2EUq/HK4Sj5x2mjzddEr3jLNmF+8mUnpMvHhsP7+INOd75cPxO6Y8TSrflXJSYtI6rZ6euOCU2tEvDweXg5sFlqqSQgkRpCH9JFbDlwdW8ydnJlJ1fvPepFHJqtg/gPn083JY3+qp5Oquqlzgc4SB3wqLjYqPQWiptudVEad+z3BNxwHf76evt4cWuy581Dkd/faodDdFSrcQThX31aAtRhcmBLcsrKBAbmvID98Dl0I+H6bJFB28rd8aEeVNHPSbaYlxtx69JoIdymXhDUapuY7xzkns86vPdx7+D8jC1pOfo862XadWJyGKPSTrI/zQquajnIN8mVyPL8fU5sOWwmUNXfYbXc8gr3Re/D/3dHSuswpBfU95RxhW2XBnMVZ3y3/Cqit/3617sSpMNHLptCJ5EaGxh6MrVhhJ+D0jvBw5s6wa4iZ0r/J3MIdUz3ZQ74+ftv6GqnL0Wk0qrTkSIdgPa3sP6fG4MxTu83hjQUPUdqlntJ72veZlWHL1L09cW9ceWCg2e7lZLbaK303cTReuH3ye0o9YGTmpWETgMfLWw7y/vXJL3h+bvBp500Bj4N4gLMkrDoxZGtVVuR8zbWzTpZ1lwVTdX+ff4co+o+DclqWURf+czu8L3EH/3jJ1/WOxI4hYzmqYPbEifDGtKv01oV2yCQG4jMnnxcXp77TmyFNweiNcruKWIHG+zSZ9Nxm1y3hhg2nYb5QltpaB9+2s9aGJXZcsGaeLgkvxy5hcavG4wLb64uBxLDgBgnbCryorl5xfQ8ePK0DYszIuCg8tXxcEbxb8XDjHjoVq8QjmgSRDVCXATMxPzirJ8shdT45W+vt/so76NA2nOY61p5saL1CzUy6p6EVq6n/fcEEE9z5g7Y3Bjndfj4c3ODrYUmZhJq09GlNgby9xO3FaGszxUnVfmeZZqLpSISMik6OQsk/UVrAr2hMfQa3+dVvYVLez/9vyyk2LItj6z1pdFQYHujYNanrUoMy+zWOVoWahaHxi4EcIbGyue7SgCEQlPzuPt6iAmw3l2yQlaNKm90WeNL1elbWFlrcTF3kX0iuPHycGtNPuzppN3EkQriJz8AroRmybeB3YaV+XqWj7oMlpj6CpXfu14vYfqNO9weWn5KVHZz8PsOXBcdviOuOyFXvX07oXLAeLuN3uqhu5LBjcLppp+4aIKj/vqlRSkcUDE4TFf99fxbUXlGb+eTat76pytnDeY91+Lpdf7NdDaN1IarsqTqU1deVqEBjyc94t/rtD8/27SZ8Obi/DBwdZW9bxw1aS+1WrjO9ekobLAnMM8fTaIjYUr3Lgi+NF5h8Tzxn1J/3quk8VUnFdmnw5rJirMPWWhLYcj3PNWwjvkpQpV9njHMPppz3WxjsfvSd65xhWp/Bry69dCy7B2eShcUThcfrRNqNgp++bqc2IkA1eszxzahBZMaE9/HL5N4zTWDfm75uGW1VWfOUvEI5d4XSUjO0/VP5QDRm4PweE47+CqH1T2dXtuEcHfWTy51KKJ7Uv9HD7Xoy79dTyCdl2JoSvRKWWuTv61sJ0N97CviInf+Lv48xHN6cVedVXvT36f804yaQfS6uc6i7Yc/L7hHa78N0/pWJflnQT8HPCwfR5RJI36MBfeQcGjKLTNNcI79KQdLq5O9hWyrCWFtp92/ZRyCnKojrfu0ZnSCAxpfV2f36jINGWlbagH2igAQNWDSlsrdvp0NKWn5xqtypYriLiXEw/XGtFGeXu8giNNTMUztPIKYEXhlT6eHIDD5H8vPaC/TkTQBxsv0IbTxWcrBcNxFcLawmGTpU04xyu/HOQzHhbPw7QsFQ/tY+1r+ajCG2nyqxOoti3X98O7685Tbr5CDCHc9UZP6t0wQGwAyfvMauL3ys97rovAV1cPRH3CRm3B7Kqhq2jTiE1U3b260TZCtN3PE42eoCWDltCYhmO0/i1v/MlDWZ7UZ8mkDuTmaCf6tnFFsrk/MyVV2nJo+2qbV+nl1i9r3QiTJiacuOi42JjlCUW+f6yVUYaNch9HDiWkA/fa5I1QrpAd2y5UTBTDVWjcYoP7DhqCw1p5YMt4mTmYYL//d1P8vmjDI0t4xnlue8FBZL0AdzHcl1/PkmYr54CVK4j4MyJ/XNJBes5ORySJ+/7fuvOizy7/3nHAID2l/Nsr/Y0hw4u5OlF+fxUZ2Ep4x5j0GvLzyD1Uq7KKGiXE7xkeBi4PZQM9ndXeD/LLGAeaEzorw05uJyItKweJo9qGan0Pm7LNhi7c4oPve0TrUPpmdEsxCSFX2PIEVHwZV+lqth3hz5olB7YSDtn4sUlD+nmHn5+7o6ic5LBRW5WoPvg3h397+Dvr2oM0sZO1NFyRz8F9eapted1yzYnCdjYVWOgh7aSSvmPFDqRnOoqJ16QdSNx3/bmlJ0rdluHfoS51/cQ2yG/7b5K57b4SQ1cfpIm+4W8Naqh2GX/mpc9mRYXLJa0vtQlqQ52CO5GnY+mBv9QyKz279G3LiNQI8W8ND/16FgMAVCaWvzZTCd24kUDx8ZnUsmUQOWmsUHIlIFeycTXEx8OaiYle5LjadfnRO6IqcvXSs6rz+/SpLXo38UQvvMLHs/eWVNnFK+bc9oD7BPIe3K9HtxQTybz3cBOa8VBjtY3x4a1C6LsdV8WkLksP36mQ3rZqK3296okAjvfI/nH4Dr2x+qzY0O/fpOSgURsOALiKS75x+dWjLbXOgGwsPKv2k7Khvtpse62H2PAoDQdfX20Lp1f61hftKzRf09f/OkP/XVPO5i6FSTxr6/8GNRIbdHLc8oIr5trV9NGrdxlXrczZdU2s+PMwLd54MoV3158XM81/PaalwRtc/F6WV9pK+PFxH8vjtxKselZgc+LgiIc+czX+pyOU301zx7VVm2mah9TO/ueK2t9x/zXe+OSNjbMzB5S9osPW1myVIzU8a4iDITi4/X1Ce5q46BjtvBxDbT/ZIYYvvzukiWpIY5+v92r92wZBHqIfLgcuctxnkHtN8mdPs0KUA/FPNl8Sn03eSSHvecec7Z3p/U7vixBcvqHFwy2n/XVGHA/xcRG/BXz/clxVO37BMdE3kL8v5o1T9v8zFQ4OeKeA1EKhfqCHeL40v8PKiocAc49M/k3j9jDdCifc/HHXNdVQa66c5mHFyg3/DuI9zocPHm6imq2cr8tLxAHAV6Nb0kOFYYfm77Y2PDSXw0we6bDlfJQ4j4f4PtZBOcTX2nEPYw5u5ZVfc3ZeExWRmjyc7cXnoiy/6fLfP945xOsIDat5FHv/G9Opu4n0zrrzohL72Lv9VOdPW3WG9oXHFgvOuD0PPwdbX+1e4g4uc5nQpRb9sPs63U3IEN9V5XkdKgL3w+QdOe9vuCB2PHMVbkVUc1YU0WZkUgca8+thsdPoycL+0JqTLvLIhw//vkTDWlWnZ7rXKbYu9Obqs+L15MncuEWENIFjaTho5TZIG87cpyEtqqu9H3hHE1epasPtEC7dTxHX4XVLbmdjqhE4+uLnbPnkTjT610MU/kA5ISr/jsWn55QacHIrnUM34unP43fFOrcUqnPrrdf+PCNGg8i92Lue6neZ2ys88duREidQe6l3PdWowpG/HFJdxt8R7w9tQr0bBqq+237Zq9xJOK5zTYuYUJfXk/iga1SOvn7cpXxccWm6t48Yj6iKy1Ru24S6o9IWAKoeVNpWANGr7kw0zZy5h1q0mEv16v1IHTv+To0b/0wrV55X9eXijVLeq37kZoIYtskrXNJljCtM31l/XoRPz/5xglbuVP7YOTnZ0chHG4twgDfAN565L4JJXZVdvDxcUfHL3hsicOGVF17BkmhWT/EKmtQHcNY/l8XKnKkt5B6GhYEir/Rx+Pjh0KY0snWICCdeWnGKDl0vCif1lZevEI9XOvBzOX7hUboZq94jyph4yBtXK8vvV/OgbyVOs+peYqgXD0nfc0W9lyg/R1wZI62Q8oFXhHjWdQ4Z5Pcxb98NMYs7e7mvsqdaaXgngDRJBg/Tkr83jYlD1Z2XH9CUP0qvhtB0My5NBITcyoGfK4kUSktVuKAbT6LFEz9J8mTfDVzJMfvRFqpQit8T8omGeLZvzfe21GeNqzPLErqVVGlrksoRjdYB5dG5rh/NFQGnrQhu0uTVJArS+X3AlVEz/76odlvc3/DpRcfpwr0UEc5ygKu6KYVCTH7FIWJcWg6lZBZVNvJn6Kfd18hG4SAqhR9v9LjahlZuXgHFp2dTQu49uhBzjZ78/bCYyEjCO2me+v2oWC5uC7BwUvti1aumIAW2jEM4Y278c+A8tY9yg5mrsCQZsvcvB7a8A/QP0aPVQ21j+43+DUSlX0LhdbmlA+8wNeR3hL+vPx3eTPymScPYNYMXa6dZ+ZWRW/TbJD/cjs8Qk9Fp9mo0BAe2X/97lWJSs9Xe//w68kSUxurJz6HUxIXHRE9vfv3l5L+90oE/94y/A3jHlSXidRQeVs5MuS5kTNwmi4fDr36hS6UKbOUTw3KVaJivqwjTORDlwgz578HEhcfFpH+fbrlMCw8oW5tJvwfvb7wgtgV4eD/3Xe9Ux0/v+24W4iVaozEb2W3+sIt/H47onNeAt2H4Pc+BOuOJHvVtZ2NKPPqB233wKAQujuCdcPpUpHar50/NQ7xEr2FpZx6vG3HLHO67rvlZl6+vcq/2ktb55X2heZtGfhlPTPf80pOqXuq8Y/HU3SSxLTapsAesuR0fd5zOjj9LQW7Fd/DsuLODVoWvouj06FJvh1tP8OOSt3ApaRIyD0cP8nLSb+cDAEBlYqOwgtmdIiMjqUaNGhQREUGhoda1hy0lJZtatZpHt26pTzAi17ZtMH35ZX/q1auWqKLacj6akjJyxLCcJzuGiQ07XvHhIVK8x53DWK4QKsjKo+iV4TSqT11auXKUqMD99t+rYiOFq4R4eOb3Y4sPYeUNeN64YR8ObUKd6/pTdW9ntY1kTfw24cCYw2SeZOSfV7vrVU1UFrzi1/WL3eJxLJjQjvrKhu5zgPTi8lOiXQLPCMyVPKVNMMETyUgVCjwZA/dlFbdVUCBmmuXglid64ZV/Uw0t4qHlvFde115p7hvMzyc/zzxxCFcSa8Mrdy8sOykeP28EcqDQUWNl/NqDVNFLjB27nSCqURhXCkzr30C8T3gGd/a/wY1U7S8MfW1+H9+O+pmgIof7gHKFAgch3LaBQy9932tctTZj3XnqVMeX/pzSWe090PHzXWLo8ZmZAyyiUsGS8EYBDwdceypSPH/ci/OvKZ0phYeILzomvoO61FVWI5aENyo5NNHEzzsP4SvLcPpWf7QSwe2u0bso0FV9ePyUf6dQbGYsfdPzmxL7p+nj3QPv0t83/qbX275OTzd7Wu2ys7Fn6VzsOWrg04A6Bhtewcff5zxDO1fQSD2V+bOsLaTi55x3ivCEXVKPw+sxqTTm1yMiJOLvqic71RQhC/8uSDvheOcMP71fjGxBHev4ikpHvuzpxcdpT3isaH3DvcEP3YgTQ/vnP9VW9DfkMOtOQio9vkPZ/zU1/AOq4e1Ha57vIr43eYZn3oHI31HcX1E+OZA14+eG+1wHeTmpqoZ5gzyxsOUQC/Vx0fldzKNi+PtQwpMealZGG/L+qAo9XzWfX8mcXVdFdTcH12UJeRYfvEUfbrokjr81sKF4r/P7n/H7n4cWc+jPv5fl6S3Nv+Gj5x0SO0Z44iz+XpRa70gVeLqG+db0czV7X+uS8E5YDoz0GfEDFYfX+7k/NP9+tAz1ouXPdhLfPVyFy78HwV7OYnuAffloC1V/bN4xzx+lHx5rLbYFDMXr2vx+598r3jbgdaj+3+4TOyF4B+xv49vS5ahUcrCzUVXwcsWoNJmap4u9WdpolEQKVQ35HG49HyW2Ofi3+9D/+ojiGN75zzv7+LmV78DkSR+l32y+L27JoAtX7UqfNd4+uB2nvC73lP96+1VRuMDtlVY820mMcOPvMN4e/GxEc7J0o/4eRVcTr9Kv/X6lLiFdSr0+r/PwDq2Svvv33N1Dr+x5hZr4NaG/Hv6LrJk1ZxoAYD6Wudu/EvH0dBIHOe4/6+LiQHv3KvfcnjwZRX37/kFz5gyiD1/uICofeUjOq3+epuVH74oVJg7XuKLt76ldxV7Jdm9soQw3ewoa04AG9WmgmqGYV85O3k4Ulbibzt4Xw8s/H6EMfaWNGymw5aGYEwsrJ/WrCmouVjQmdK5lssCWLTtyR4SCDYM8VMODJNyP7YfHW9PkJcfp4PV48Tj3T++ts/KLA0AOup/tXode6VtPbIBz1ZaEh3vzyi9PwvHN9nD6dmwro61ov7vhggheOPjgUKC0CR04xOHqCK6g4DBaCtF5CNyZiGQx7IpDr5+fbEPPLT0pVuImLzlBDzWvJiaIqxvgLq4vn7SCHyuHE1xpxGEPV95+vuWyuOyl3nUNCmwZr7g+2SlMzOZ+p4x91rQ9bg7PeUObW3SoDyt/QG+tPkvfjmmlV5VmDR9X8RngjRs5fg0eaVldbDhztTWQWtDAITn3n+R2B7whwVVk4xcdEyEsV/nM2nqFNr7UtdTXgKuD+GBMOx7dIUJbP+filUK3Um6Jag4eOldePLlFc//mFOASUOyyg/cO0tyzc2lsw7FlCm05kNMM5fizLP8ukms/saiqVNpZxxvoPCmQ/LuB/cQBbGHPPQ5sxxTOIC99b/PQ5wPX42jz+bv0IPc8XYhMp8zUmjR33w3RZkf0fK5W9Hmp4etMEXGZopqIQ9pH24aK3xxuUVNZAlvpueEKLLlAD2dx0AeHGcaa1LAqBLYlPb8/Pd6mzK0veKeCFNhy6CsNOZbwjkpui8M7pniH569PtdM5vLskXHHOnwkObHmiwYUT2xdrdcD9NK0VP/8IbC0Pr/dzlSivp3L/T67QXHr4tvg9aBbiKUI9buvy23+3xG8Fr+OtOans/cmVyGUJbKV1bfm6JK9D8YSa434/RvuvxtKzf5wU69fc/ujPKZ1EcCvtKLFUZdlpMrBpNTHPB1e/cvun9x9uItZX5z/Vrtjvh+Z96fp918TbB/Lr/vREa5q06LgYcfPZlsv0zZiWoqCEt2OsgTQqqoD06+OvTxGF1M8WrREAoKpCpW0F+Pzz/2jDuShKr+NBTs52qt6MOTl5lJqaQ5kPMujBX1f5xRAVs2PHNlP1r+XqVh6iw5O+SBvM0dFpVKPO9+Q/pgE5VXOjL0Y0o8c6qs+ay4HtK3+eFhObnPmgv9go5L25vCIgAuG+9cWwlPLgnk0cJujCw3ikDSgebjtyblHPJk2Pd6ghJpLgt+OGM/fo9b/Oiiph7l2mDVfMcmDLKzEc9LEvt12hVYV9cOV7cLm/Vuc6fvTH5A5aw+ao5ExRofzRsKaq8Lfb7N2qigFNbWt6iw0/CVcfSEPA5cvHK9g8cc6Cie1J343Ch3/4T9X/06lwBZOHenKriG/HtKSRbUJVe/E51ORWGizI04n2vtlb56QzXNHHFdKMh1VzGMp9bstS1cRBXm5BgWrjmwPhzSW0zOAZ0KUgj9trrD2pPpEcVzxzb0eunP5vem9VpcLuK9wi4aSoOOcqNg7wjRWqT19zlnZfUe89KHfg7d6qFfyZGy+I6ndHOxsxNFpb7zh+XDwUUbNjxMCmQarKCK5c6TRrtzju7mQndsQMalY0yzvjDTLeIJBeV8ZZBn8OtPUl5omUFhy4JVbo17xQVNEw9tfDdCM2XbUMHz3StNgENBJ+/XjoH3/P8HBM/lyPnX9YNXkQD8/U1k/PEgxaO4jupd2j5Q8tpxYBLUx2P/POzqOfz/xMoxuMpg86f0AViSdN2X7xgZiIi0NUeSh+PymTunyxW7UTTtfwem5p88qaneRa90tSFDhQG8U8USklVZjy926LP5TP3/IBW2nKoquiAnfpMx2pTSkjGQCMib8DecIgXVVq3KpJ6hvJk+MN+eGAan2D+w1r+03jwJbbIPFvulRxrln1z712eZJNHqXE+LebW8FIav1vi/iXA5xVz1eeinOwDtyWg6tq+fufd3Rz9SVPIMfrS/z9za3RehUWOXCLC16HeKKj8ftj/3ctliYvPqFqqcZ9a7l/tK4RCZXBP+ejKC49h0a3DRXrhbzOZ6z+6rpw4QoHtjxyQOqlaynyC/Jp2t5poqftZ90+I1cH9fB67OaxdCn+Ev3c92fqEdrDKPd5JuYM7Y/cT/W869FDdR4ia2btmQYAmEfl/ZW1IO+8052CD96ijzZdovQMjSDQyY6cwzzIf0gtitt0i8aP30ABAW5iYjFe4eLwjycM49BN2khYtuwc5WXmU8yqa9Tslda04ngEjW4fprYRwnvX+W+52lOqBuENdB9XR3qmW216rZ9+fUxLwmFbSc3j+f4l+QpFidflFRTGG1w8DJsDRt640oVXELniTL6Bxven7T54GONvE9rprA7mIVw8iYwcT4QlzWqqSXMmbB5SqNnbjtXyczVoKBMHb3883VH0NeZht1JfMNaxtq/axGO84sjVqOMXHBU9zd55qHGJs4RLga3U31Wficd00ayk5GC8pNdWnmOmZWl/jRztbMUESFJgy/o0ChIh7Rurzoggm+9Hwi1CuCJZao3Bp/n10rftQUqm9uXQhvsUStfl3nH8npNCA1HFvOmimPxG19/KSbcTl0Zixvj5423F42S8U4UrqOUTyUm4kpLfx1z1IQ9seXmY5mvP71Hpvrhan3vQ8fOruaHBk+TxJBtM6lvNFR+LJ3UQ7y33ws+ZJQa28knDpH601n4/mnhIKo8o4IkpOVDX/OytLtxJ9Xq/BiX2Qx3SIpgiUhvQz9eVVTC/PlkU2DJ+T/Nj5MdXzYt7/nUU36dc9Q5QkXho98k7unuPZ8p6QUoea1+D3h+iPbBl3BqB+3ryjl7ewcjfa7NGNlddf+mRO/TBRvUe0vLfGwkPieYdGQhsoaLJJ8vldX2uIJfw+1gKbBm3IuKDKXSvHyBGu72y8jQ1qOZOiyZ2qNSBLRtcOMGkxNSBLZO+oywRryfsjlDuLP5Y8bHuSlsjri+1CmwlDgAAVRUqbSsIh3q8Aa4NvwRfztxHS34/LU57eDjSvn0TqXXrYFVlI0+IIvUvbNZsLl26pKwSvHT5Jape00vnjMTcQy7A3Um1ccJhoLFmL+ZqT83ZU+X83BxVPf44kOIWBLrwnmQpGOIAjg+GTnbDfb4SM9TDU165rRfgbvBK1pXoFFGlrA1XhMqHgV19kCoqH7QFpWVpI8FhCQ9Jl/BEEnxb2jZIeY8/b1yac3gtV/vJeztq4gpBqcqTq5o1Q2/Gr72uagIOFrlPKq/E8lBBft/xRHscbvIQVZ7s6fW/zohZlpdO7qDXBjUPI5R2FGjDrTmk9wxXQHO1M/c2416g7MtRymHo/Lpz+4b1Z+6J/oaaVYmeLg6qPsn82eW2A4x7lv599r7oS8wtOniSEN4xw73rsnMLxEYR99NkHGDwTgRu7yG9B/46fpfeXnteHH+lTz0a1jpE1R5DqrThijF+H7+5+pxYzvGda4qKW/n76Jt/w8Vj4mH33P5Afhk/P9yvTh7uVbTcglz6+vjXIlB8re1r5GSn/toOXT+UbqfcpsWDFlPboLYmW47fz/9Oc07NoeH1htMnXT+hisSfbxcHO53fJfzbok8lzs3kmzRswzAxkcehx4uPemi9tDXlFeSJdhTV3Ip2DgBUJP5Nux6bpvU3lUmTCTH+LeD1Kn2HZXPF+csrT4kREfy9OW1AQzHB6+urzojf++d61FGN7vFwtldrd3A5KkV8x5altQJAZZOckUvuzvZl6lMP1i0rL4vaL1eOIDzyxBFyc1D//n1y65NiDoA5vedQn7A+ZlpKy1UZMg0AqHiVe/eoBeGN6pI2rH+f+zDFR6fT5s1XRcuEhx5aQZcvv0Te3srhUJITJ+6rAtuuXWtQ40YlTw6k2T/OWIGtVO0pn4SjJBz86HtdDifKEnYas8dgaf1n5XgCFWPiqgV9nysOFs3dD7G6t4s46IOrmg2dnIKrb+UVuBxi84YzD8/jyqkeDfzF8HE+/0pUKnWrX3poy+Gvvjh05QNPzsUVq78fuEX/W3dObLA81DxYVLA+1iGs1NntORCVXlfuUcbDgHdejqFnlpygFc92pBah3mL4e2xqNnWtV/S51nwvcNj7v3XKwHZKjzqizYlmoC9V2fDf2trYiJntuRqYg4i3BjZShbJLCmdEfqGnclIrOQ7JzS03P5dWXFkhjr/c+mUiO+0VsDxcr7xmHpopetdyOPxwnYdNXjmir9Kqx/UdOllQUKD2WDTZ29hTHuWJ/sEA5sK/afr+pvI6iCF9NLniPD27BX31b7ionuMdrm+sPisCWx5qzi1rdFXr6vubDFAVeLliMteqSr4eJK2DyUnrGMaqCeP7OxF9Qsw7EOwWXKa2bgAA1g4lAxbC3t6W/vrrUercOVTVt3b9euXQZ7lFi86ojk+ahKEiUPVw1S73eO5e31+0RODAltfhvhvbirrVL3knRnnwiuK7QxqLobhcqfXtjquiIpxDhtICW028U+KnJ9qIXsscnnKfacZhhTyw1VbdwsMSeV348Q5hNKOEkEEyrFUIfTKsmaoqU1qRfn/DBTETdJ0AN7W2C5a6cWBnWzxsVIW2RggaEzIT6EHGA1FFYsr7MRdp2bVtZMnPl8JdgMqIR0jsfqOnCGF5FMjr/erTyDYhNHOo+igEAAAoTiFreqZtfcKGbIy6vhSTEUOT/51MQ9YNsep1MACA8jB/KRWouLo60NdfD6CuXReK01u2XKNJk1qrLs/Jyac//7wgjru42NPo0U3NtqwA5sSV278+1VZMrHfiTiJ9NrxZmWdJNgRv1HOfYq5+n9SlVpkqwuVVYtxrecelaBrRWr8hUpvP3xf/Dm9VXbRj0DdkGNeppghnOSSW/kZq28CTElZEj7aykK+ga9s48Hfxp9ScVHKwdTDafWmrRFVV2lpxoCkF4LoqbR9r9JhoR+HmaNkzgAOUl0dh9Tp/F07tU1/syEJgCwBg4HqZltqvV9u8SsnZydTU3zjbqBGpEeLfYPdgsrdFbAEAVRO+/SxMx44h5OfnQvHxmfTvvzdEUOtYOMnQzp03KTFRWQU2fHgj8vTEZBhQdXHP45XPdqKkzNwKnV2Xe7i9PUjZYqC8uAWBvoEte7JjTRrUtJpauwh98QR/ctzjdnS7UIOGF5tz40Bb2PjbgN+MHmpqC4e5L1sdrzrk72q6Sm5TK+nxsdfbvl7BSwRgGRDYAgDoR972QNv6RJugNka9v8hU5YSrNTxqGPV2AQCsCUJbC2NnZ0uDBtWj5cvPi962Bw7cpT59lDPVr159SXW9MWNQZQvAFaIVGdhagrIEttpIkwRac+80U9yXtvup7l5dHKxZkFsQvdnuTXKxN6ynNAAAAEBFr5fJK21D3TFpFwBUXQhtLdCQIfVFaMu2bLkqQluuuN2w4Yo4z93dkQYOrGvmpQQAMC1pgjFdQ/orsn2AteNWEhOaTtB5eVxmnJj4ja/nYIdJZgAAAECdt5M3nRp3SoyE0jZK4VjUMTE/QKuAVlTDs/zVsZFpqLQFAMBEZBZo4MB6qh6T3NeW7dp1k5KSlK0Rhg5tQC4u2KgGgMqttCH9nx75lJ7Y8gQdjTpqvIm6bIvf1+3k27T26lo6cO8AVVZjN4+lAWsH0NWkq+ZeFAAAALBAHNTyjl1ne+2jtRZdXETvHHiHTsacNMr93Uu9J/4N9UClLQBUXai0tUC+vi7UuXMoHTwYQeHh8XTjRgKtWVPUGmH06CZmXT4AgIrAPWS3jNiiNhxP7kbSDTofd54SsxPLfV8h7iGUlJ1Eng6exS47E3uGPjz8IXUL6SYO1ognbOPny9XBlRr4NKiUk60BAACA+UjrEvLet8Zoj4BKWwCoyhDaWnCLBA5t2caN4bRhQ7iqNQL3vAUAqOwcbB0ozDNM5+XGDBo/7fapzsukSl9jbYSYw8X4i/Tsv89SPe96tH7Yep2PUT75GwAAAIAkMSuRvjj2BTnZOdHHXT8udrnUMsEY6xK8zvVqm1dFiwSEtgBQlaE9goUaMqSoEurzz/+jhIRMcfzhh9EaAQCgIoPGyhBoSsG2rp69qgBcR1UzAAAAVG3puem09dZW2nZ7m9bLbQujBWOsS3AAPKrBKBHc8ighAICqCqGthWrePJBCQ5XDdOPjlYEtQ2sEAKgqeHKs709+T7+d+03r5VL/WVMHjZUh0FT17NXRH7gyBNMAAABgOtKIIxsqPgkZs7O1/vUlS/Tzzz9TrVq1yNnZmTp27EjHjh0z9yIBQAVCaGuheO8it0iQc3NzoMGD0RoBAKqGhKwEWnBhAS27vMzkYeoru1+hRzY8QqcenKqUgaa07Ki0BQAAAFOsS0hhrjHWJa4mXqXj0ccpPjOeqrK//vqLpk2bRjNnzqRTp05Ry5YtaeDAgRQTE2PuRQOACoLQ1oJphrZojQAAVYm00q9r48CYYeq9tHt0K/kWZeVn6byfSlFpW1idrKs6Jr/AeoNpAAAAMJ0CKlDrXWvK9aVV4avo6e1P0/LLy6kq+/bbb+nZZ5+lSZMmUZMmTWjevHnk6upKCxcuNPeiAUAFwURkFWT9tfU07+y8EifBaV+tvTj+z61/xJDgAoWCGn6dTNLUN5EB+2jgmt/o/c7vq2Yw33N3j2gIr8v09tOpb82+4vih+4foo0Mf6bzuy21epofrPCyOc7XZjP9m6LzulBZTRJ8hdin+Er2+53Wd1x3fdDw92fhJcfxm0k16YecLOq87puEYmtx8sipEeXrb0zqvO6zeMHqx1YviOO+FfWLLEzqvO7D2QJrWdpqqH9PIjSN1XrdnjZ70Tsd3xPG8gjwasm6Izut2qt6JPupS9Jw+vP5hys3P1XrdVoGtaHaP2arTo/4eRWk5aVqv28i3Ec3pM0d1+sktT4qh4trU9qpN8/oXvbcmb59MkamRWq8b7B5MiwctVp1+ceeLYkZ5bXycfejPh/9UnZ62dxpdjLuo9brca0o+udE7/71DJx+c1LlC98+of1SnPzr8ER26d4h02TRiEznaOYrjs4/Npt13d+u87upHVpOno7KtyJxTc2jrza06r7vsoWUU4BogjvNnkz+juvw+4Heq4amcBGHxhcW08spKndf9qe9PVN9HucPlzyt/0qILi3Re95te31Az/2Zl/o7QpbJ8R+QU5JQ4pN/dwV283va2yp+yBecXiJV8Xeb2n0t1vOqI47wR8MfFP1SXxWTE6AyI+f49HDyogU9Rr/FXd79KVxKuaF8uR3da+8ha1em3979NZ2LOaL2ug50DbR6xWXV65qGZdOT+EZ2PYcvILarH+/nRz2lfxD6d1103bB25ObiJ49L7RVcA3q9mP2oZ0JICXQPF6UFrB+mceK1dtXb0WbfPVKdHbBxBGbkZWq/b1L8pfdvrW9XpxzY/JiYy0aaud136pd8vqtMT/plA0enRWq/Lk5L8PvB31enndzwvQndt/F39aflDy8v02k3fP53OxpzVel3+XuLvJ31fu60jt6rCcUNeu29PfEvbb2/Xed2VD68kX2dfcfyXM7/QxusbdV530aBFVN29un6fl35zqY639s+Lpu97f0+N/RqL42uvrqX55+brvO4XPb6g1oGtxfHNNzfTj6d+1HndmV1mUpfqXcTxnXd20lfHv9J53RkdZ1CvGr3E8QP3DtAnhz/Red3X275Og2oPEse5kuu9A+/pvO7zLZ+nEfVHiOPnY8/Tm/ve1Hndp5s9TWMbjRXHryVeo6m7puq87hONn6AJTSeI4xEpEfTMv8/ovC7fPy+H9F311NandF53SJ0h9EqbV8TxlJwUGv33aJ3X7RPWh97u8LY4npOfQ0PXD9V53S4hXWhm55mq0/iOUMJ3BL4jqtJ3xDPbnylxXYKXuXeN3uK1Ts5OpjGbxui8bV7veKv9W+J4Vl4WDdswrNhoK1YZJyFLTU2llJQU1WknJydx0JSTk0MnT56kGTOK1rd553u/fv3o8OHDFba8AGBeCG0rSEZeBt1Pv6/zcv4hVF03t+i6Dv5F10lWZFByuvKHTZKZl1ni7fL9SrLzsku+rmyFOju/5Oum5aapLXuJ15UFk7kFuSVeNzUnVXWcK75Kui6vDEh4j66+1+WNjJKum5SVpHa6pOsmZCaoXzftvniM2tTIUl/p4A0NXlnStQGhdt2MaFWopMnNUbnSLuHr6VpmaWNAwkGwrutKgZk+15U2HCTxWfG6l0FjRY83zkp6jtWum13ydeUbkEnZSSVeV16dya9DSdfNU+TpfV3568+fE70/92X8jtCmsn1H8I4JbWZ1n6V2utTXsSBP7btG87r83tS2cVDbs7b4nP2vw/9U58Vl6f48eOYqdxzo83lwsHUo9p2i7+eBv6v0/Ty0CGhBt1Nu63wuX2ipvjMtKj1KZ6WM5lBFvi7vDNOmmlu1Yt97/Hxo4+Xkpfd3mbQjR3XdTN3X1azELum7TPO1K+n1cLR1LPNrV9r3niHfZfLXiX/rSvzek1VSG/Jdpu3zouv3orTvPf7u0Pe7jL+T9P0u48vl34F6f++V8l0mvy4/zhLXYXJT9V7fkf/+5yr0v25p6zv8ftF7fUd+XSr5uppBKr4jlPAdoYTviKrxHRGbGSuO1/KqpfX6HLZLgXtp72F9vn+43QLvUK5suGJWjlsffPjhh8WuFxcXR/n5+RQUFKR2Pp++ckX7jiUAqHxsFLp2k1uQyMhIqlGjBkVERFBoaChZI14BjEqL0nk5//h5OHqoVnY5/GMJCRn096ar1KljCDVqpKwKDPMMU6248kZ7RGqEztsN9QgVFZPSitrdlLs6r8t71v1c/FQrX7eTb+u8Lq9kS1WKvCLO1XG6cOVWkFuQaoXpeuJ1ndfl25RW4Hkl6WrCVZ3X5WWVqgG4ulVXVQTj54CfC2mFlCv/dOHnlp9jxh+PC3EXdF6XXzP5igtfV9dHikMfqcqPXYy/qJrRXVvlKleUSC7HX1YLnOSc7J3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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import pathlib, os, warnings, numpy as np, pandas as pd, matplotlib.pyplot as plt\n", + "import re\n", + "from typing import List, Dict\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 (\n", + " RandomForestRegressor, ExtraTreesRegressor,\n", + " AdaBoostRegressor, GradientBoostingRegressor, StackingRegressor\n", + ")\n", + "from xgboost import XGBRegressor\n", + "from sklearn.metrics import mean_squared_error, mean_absolute_percentage_error\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\n", + "from warnings import warn\n", + "\n", + "warnings.filterwarnings(\"ignore\")\n", + "pd.set_option(\"display.float_format\", \"{:.4f}\".format)\n", + "\n", + "# ────────────────────────────────────────────────────────────────\n", + "# 0. File & folder setup\n", + "# ────────────────────────────────────────────────────────────────\n", + "ROOT = pathlib.Path(\".\")\n", + "RESULTS_DIR = ROOT / \"Statistical Testing Results\"\n", + "MODEL_DIR = ROOT / \"Model Results\"\n", + "RESULTS_DIR.mkdir(exist_ok=True)\n", + "MODEL_DIR.mkdir(exist_ok=True)\n", + "\n", + "# ────────────────────────────────────────────────────────────────\n", + "# 1. Global constants\n", + "# ────────────────────────────────────────────────────────────────\n", + "ALPHA_ADF, ALPHA_COINT, MAX_LAG_GC = 0.01, 0.40, 18\n", + "TIERS_TO_BUILD = [0.01, 0.05, 0.10]\n", + "LAG_GRID = [1, 2, 3, 6, 12]\n", + "CV_FOLDS = 5 # expanding-window CV\n", + "def _find_feat_column(base: str, df: pd.DataFrame) -> str:\n", + " \"\"\"\n", + " Return the column in *df* that corresponds to the feature *base*.\n", + " • If the raw name exists, use it.\n", + " • Otherwise look for _lag1, _lag2, ... in ascending order.\n", + " Raise KeyError if nothing matches.\n", + " \"\"\"\n", + " if base in df.columns:\n", + " return base\n", + " for l in LAG_GRID: # [1, 2, 3, 6, 12]\n", + " cand = f\"{base}_lag{l}\"\n", + " if cand in df.columns:\n", + " return cand\n", + " raise KeyError(base)\n", + "\n", + "HP_SPACE: Dict[str, Dict[str, tuple]] = {\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", + "}\n", + "\n", + "# ────────────────────────────────────────────────────────────────\n", + "# 2. Utility helpers\n", + "# ────────────────────────────────────────────────────────────────\n", + "\n", + "def save_and_show(df: pd.DataFrame, path: pathlib.Path, title: str):\n", + " print(f\"\\n{title}\")\n", + " display(df)\n", + " df.to_csv(path)\n", + "\n", + "\n", + "def paper_style(df_wide: pd.DataFrame, metric: str) -> pd.DataFrame:\n", + " def safe(k):\n", + " if k in df_wide:\n", + " return df_wide[k]\n", + " return df_wide.get(k.rstrip(\"0\").rstrip(\".\"), pd.Series(np.nan, index=df_wide.index))\n", + "\n", + " without = df_wide[\"without\"]\n", + " g05 = safe(\"0.05\")\n", + " g10 = safe(\"0.10\")\n", + "\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", + "\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", + "\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\" else fmt(v, \"{:.2f}\"))\n", + "\n", + " return out\n", + "\n", + "# ────────────────────────────────────────────────────────────────\n", + "# 3. Data loading\n", + "# ────────────────────────────────────────────────────────────────\n", + "\n", + "def load_copper() -> pd.Series:\n", + " df = (\n", + " pd.read_csv(ROOT / \"Copper Prices.csv\")\n", + " .assign(Date=lambda d: pd.to_datetime(d[\"Date\"]))\n", + " .set_index(\"Date\")\n", + " .asfreq(\"W-SUN\")\n", + " )\n", + " return df[\"Price\"].rename(\"Copper_Price\")\n", + "\n", + "\n", + "def load_trends() -> pd.DataFrame:\n", + " def one_folder(folder: str) -> pd.DataFrame:\n", + " frames = []\n", + " for fp in (ROOT / folder).glob(\"*.csv\"):\n", + " key = fp.stem.replace(\",\", \"\")\n", + " t = pd.read_csv(fp)\n", + " t.columns = [c.strip() for c in t.columns]\n", + " val = t.columns[1]\n", + " t[val] = t[val].replace(\"<1\", 0).astype(float)\n", + " frames.append(\n", + " 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", + " )\n", + " return pd.concat(frames, axis=1) if frames else pd.DataFrame()\n", + "\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", + "# ────────────────────────────────────────────────────────────────\n", + "# 4. Pre-screening (ADF, cointegration, Granger)\n", + "# ────────────────────────────────────────────────────────────────\n", + "\n", + "def adf_p(series: pd.Series) -> float:\n", + " return adfuller(series.dropna(), autolag=\"AIC\")[1]\n", + "\n", + "\n", + "def feature_screening(data_raw: pd.DataFrame):\n", + " tab4 = pd.DataFrame({\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", + " }, index=data_raw.columns).sort_values(\"Level p\")\n", + "\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\"] < ALPHA_ADF)]\n", + "\n", + " rows = []\n", + " for s in i1:\n", + " if s == \"Copper_Price\":\n", + " continue\n", + " t, p, *_ = coint(data_raw[\"Copper_Price\"], data_raw[s])\n", + " rows.append({\"Series\": s, \"t\": t, \"p\": p})\n", + "\n", + " df_coint = pd.DataFrame(rows).set_index(\"Series\").sort_values(\"p\")\n", + " save_and_show(df_coint, RESULTS_DIR / \"Table_5_Cointegration.csv\", \"Table 5 – Cointegration\")\n", + " cointegrated = df_coint.index[df_coint[\"p\"] < ALPHA_COINT]\n", + "\n", + " gc_rows = []\n", + " for s in cointegrated:\n", + " if data_raw[s].dropna().nunique() <= 1:\n", + " continue\n", + " for lag in range(1, MAX_LAG_GC + 1):\n", + " try:\n", + " p = grangercausalitytests(\n", + " np.column_stack([data_raw[\"Copper_Price\"], data_raw[s]]),\n", + " maxlag=lag, verbose=False\n", + " )[lag][0][\"ssr_ftest\"][1]\n", + " gc_rows.append({\"Series\": s, \"Lag\": lag, \"p\": p})\n", + " except Exception:\n", + " continue\n", + "\n", + " df_gc = pd.DataFrame(gc_rows).sort_values([\"Series\", \"Lag\"])\n", + " save_and_show(df_gc, RESULTS_DIR / \"Table_6_Granger.csv\", \"Table 6 – Granger causality (all lags)\")\n", + "\n", + " # tier dictionary\n", + " tiers = {a: [s for s in cointegrated if df_gc.loc[df_gc[\"Series\"] == s, \"p\"].min() < a]\n", + " for a in TIERS_TO_BUILD}\n", + "\n", + " # summary table (Table 7)\n", + " summary_rows = []\n", + " for series in cointegrated:\n", + " pvals = df_gc.loc[df_gc[\"Series\"] == series, [\"Lag\", \"p\"]]\n", + " best_row = pvals.loc[pvals[\"p\"].idxmin()]\n", + " summary_rows.append({\n", + " \"Series\": series,\n", + " \"Min p\": float(best_row[\"p\"]),\n", + " \"Best Lag\": int(best_row[\"Lag\"]),\n", + " \"p<0.01\": float(best_row[\"p\"]) < 0.01,\n", + " \"p<0.05\": float(best_row[\"p\"]) < 0.05,\n", + " \"p<0.10\": float(best_row[\"p\"]) < 0.10,\n", + " })\n", + "\n", + " df_summary = pd.DataFrame(summary_rows).set_index(\"Series\").sort_values(\"Min p\")\n", + " save_and_show(df_summary, RESULTS_DIR / \"Table_7_Summary.csv\", \"Table 7 – Granger-causal summary\")\n", + "\n", + " return tiers, df_gc\n", + "\n", + "# ────────────────────────────────────────────────────────────────\n", + "# 5. Dataset construction (lags + baseline)\n", + "# ────────────────────────────────────────────────────────────────\n", + "\n", + "def lag_df(feats: List[str], lag: int, data_raw: pd.DataFrame) -> pd.DataFrame:\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", + "\n", + "def build_datasets(data_raw: pd.DataFrame, tiers: Dict[float, List[str]]):\n", + " datasets = {}\n", + " for a in TIERS_TO_BUILD:\n", + " if tiers[a]:\n", + " key = f\"{a:.2f}\"\n", + " datasets[key] = max([lag_df(tiers[a], lg, data_raw) 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()\n", + " # ── inside build_datasets() – add just before the return\n", + " for df in datasets.values():\n", + " if \"Copper_Price_lag1\" not in df.columns:\n", + " df[\"Copper_Price_lag1\"] = data_raw[\"Copper_Price\"].shift(1)\n", + "\n", + " return datasets\n", + "\n", + "# ────────────────────────────────────────────────────────────────\n", + "# 6. Hyper‑parameter tuning helpers\n", + "# ────────────────────────────────────────────────────────────────\n", + "\n", + "def _rs(model, space, X, y):\n", + " pdist = {\n", + " k: (uniform(lo, hi - lo) if k in (\"max_features\", \"subsample\", \"colsample_bytree\", \"gamma\")\n", + " else loguniform(lo, hi) if k == \"learning_rate\"\n", + " else randint(lo, hi))\n", + " for k, (lo, hi) in space.items()\n", + " }\n", + " return (\n", + " RandomizedSearchCV(\n", + " model, pdist, n_iter=40, cv=TimeSeriesSplit(CV_FOLDS),\n", + " scoring=\"neg_root_mean_squared_error\", n_jobs=-1, random_state=42\n", + " )\n", + " .fit(X, y)\n", + " .best_estimator_\n", + " )\n", + "\n", + "\n", + "def tune_trees(X, y):\n", + " base = {\n", + " \"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", + " }\n", + " return {n: _rs(cl, HP_SPACE[n], X, y) for n, cl in base.items()}\n", + "\n", + "\n", + "def tune_others(X, y):\n", + " tuned = {\"LR\": LinearRegression().fit(X, y)}\n", + "\n", + " tuned[\"SVR\"] = RandomizedSearchCV(\n", + " SVR(),\n", + " {\n", + " \"C\": loguniform(1e-1, 1e3),\n", + " \"gamma\": loguniform(1e-4, 1e-1),\n", + " \"epsilon\": uniform(0, 0.2),\n", + " },\n", + " n_iter=30, cv=TimeSeriesSplit(CV_FOLDS), scoring=\"neg_root_mean_squared_error\",\n", + " n_jobs=-1, random_state=42,\n", + " ).fit(X, y).best_estimator_\n", + "\n", + " tuned[\"MLP\"] = RandomizedSearchCV(\n", + " MLPRegressor(max_iter=1000, random_state=42),\n", + " {\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", + " n_iter=20, cv=TimeSeriesSplit(CV_FOLDS), scoring=\"neg_root_mean_squared_error\",\n", + " ).fit(X, y).best_estimator_\n", + "\n", + " return tuned\n", + "\n", + "# ────────────────────────────────────────────────────────────────\n", + "# 7. Sequence (LSTM / GRU) helpers\n", + "# ────────────────────────────────────────────────────────────────\n", + "\n", + "def build_seq(cell: str = \"LSTM\"):\n", + " m = models.Sequential([\n", + " layers.Input(shape=(1, 1)),\n", + " (layers.LSTM if cell == \"LSTM\" else layers.GRU)(32),\n", + " layers.Dense(1),\n", + " ])\n", + " m.compile(optimizer=\"adam\", loss=\"mse\")\n", + " return m\n", + "\n", + "\n", + "def fit_seq(builder, X, y):\n", + " m = builder()\n", + " m.fit(\n", + " X.values.reshape(-1, 1, 1), y.values,\n", + " epochs=100, verbose=0,\n", + " callbacks=[callbacks.EarlyStopping(patience=10, restore_best_weights=True)],\n", + " )\n", + " return m\n", + "\n", + "# ────────────────────────────────────────────────────────────────\n", + "# 8. Stacking helpers\n", + "# ────────────────────────────────────────────────────────────────\n", + "\n", + "def stack_one(name: str, est):\n", + " return StackingRegressor(\n", + " [(name, est)], LinearRegression(),\n", + " cv=KFold(CV_FOLDS, shuffle=False), passthrough=True, n_jobs=-1,\n", + " )\n", + "\n", + "\n", + "def stack_combo(tree_dict: Dict[str, object]):\n", + " return StackingRegressor(\n", + " list(tree_dict.items()), LinearRegression(),\n", + " cv=KFold(CV_FOLDS, shuffle=False), passthrough=True, n_jobs=-1,\n", + " )\n", + "\n", + "# ────────────────────────────────────────────────────────────────\n", + "# 9. Expanding‑window CV loop (core of the new pipeline)\n", + "# ────────────────────────────────────────────────────────────────\n", + "\n", + "def expanding_window_cv(datasets: Dict[str, pd.DataFrame]):\n", + " results_cv, preds_cv, banks_cv = {}, {}, {}\n", + " tscv = TimeSeriesSplit(n_splits=CV_FOLDS)\n", + "\n", + " for key, df in datasets.items():\n", + " X_full, y_full = df.drop(columns=\"Copper_Price\"), df[\"Copper_Price\"]\n", + "\n", + " # per‑model predictions across folds\n", + " pred_bank: Dict[str, List[pd.Series]] = {}\n", + " y_all_blocks = []\n", + "\n", + " banks_cv[key] = [] # list of (bank, X_te, y_te) per fold\n", + "\n", + " for train_idx, test_idx in tscv.split(X_full):\n", + " X_tr, X_te = X_full.iloc[train_idx], X_full.iloc[test_idx]\n", + " y_tr, y_te = y_full.iloc[train_idx], y_full.iloc[test_idx]\n", + "\n", + " # tune models\n", + " trees = tune_trees(X_tr, y_tr)\n", + " others = tune_others(X_tr, y_tr)\n", + "\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]], y_tr)\n", + " gru = fit_seq(lambda: build_seq(\"GRU\" ), X_tr[[seq_col]], y_tr)\n", + " seq_wrap = {\n", + " \"LSTM\": lambda Xf: lstm.predict(Xf[[seq_col]].values.reshape(-1, 1, 1)).ravel(),\n", + " \"GRU\" : lambda Xf: gru.predict(Xf[[seq_col]].values.reshape(-1, 1, 1)).ravel(),\n", + " }\n", + "\n", + " stacks = {f\"{n}_LR\": stack_one(n, est).fit(X_tr, y_tr) for n, est in trees.items()}\n", + " combo = stack_combo(trees).fit(X_tr, y_tr)\n", + "\n", + " bank = {**trees, **others, **stacks,\n", + " \"ET_AdaBoost_GBDT_Xgboost_RF_LR\": combo, **seq_wrap}\n", + "\n", + " banks_cv[key].append((bank, X_te, y_te))\n", + "\n", + " # make predictions\n", + " for name, mdl in bank.items():\n", + " pred = mdl(X_te) if callable(mdl) else mdl.predict(X_te)\n", + " pred_bank.setdefault(name, []).append(pd.Series(pred, index=y_te.index))\n", + "\n", + " y_all_blocks.append(y_te)\n", + "\n", + " # join blocks & score\n", + " y_all = pd.concat(y_all_blocks).sort_index()\n", + " rows, pred_cols = [], {}\n", + "\n", + " for name, series_list in pred_bank.items():\n", + " y_pred = pd.concat(series_list).sort_index().loc[y_all.index]\n", + " pred_cols[name] = y_pred\n", + "\n", + " rows.append({\n", + " \"Model\": name,\n", + " \"RMSE\" : np.sqrt(mean_squared_error(y_all, y_pred)),\n", + " \"MAPE\" : mean_absolute_percentage_error(y_all, y_pred) * 100,\n", + " \"Dstat\": np.mean((np.diff(y_all) * np.diff(y_pred)) > 0),\n", + " })\n", + "\n", + " results_cv[key] = pd.DataFrame(rows).set_index(\"Model\").sort_values(\"RMSE\")\n", + " preds_cv [key] = pd.DataFrame(pred_cols)\n", + "\n", + " return results_cv, preds_cv, banks_cv\n", + "\n", + "# ────────────────────────────────────────────────────────────────\n", + "# 10. Metrics tables & best‑model selection\n", + "# ────────────────────────────────────────────────────────────────\n", + "\n", + "def build_metric_tables(results_cv: Dict[str, pd.DataFrame]):\n", + " save_and_show(\n", + " paper_style(pd.concat({k: d[\"RMSE\"] for k, d in results_cv.items()}, axis=1), \"RMSE\"),\n", + " MODEL_DIR / \"Table_8_CV_RMSE.csv\",\n", + " \"Table 8-CV – RMSE (Expanding-Window)\",\n", + " )\n", + "\n", + " save_and_show(\n", + " paper_style(pd.concat({k: d[\"MAPE\"] for k, d in results_cv.items()}, axis=1), \"MAPE\"),\n", + " MODEL_DIR / \"Table_9_CV_MAPE.csv\",\n", + " \"Table 9-CV – MAPE (%) (Expanding-Window)\",\n", + " )\n", + "\n", + " save_and_show(\n", + " paper_style(pd.concat({k: d[\"Dstat\"] for k, d in results_cv.items()}, axis=1), \"Dstat\"),\n", + " MODEL_DIR / \"Table_10_CV_Dstat.csv\",\n", + " \"Table 10-CV – Directional Stat (Expanding-Window)\",\n", + " )\n", + "# ────────────────────────────────────────────────────────────────\n", + "# 10-bis. Final-fold (hold-out) metric tables\n", + "# ────────────────────────────────────────────────────────────────\n", + "def final_fold_metric_tables(banks_cv, save_dir=MODEL_DIR):\n", + " \"\"\"\n", + " Build RMSE / MAPE / Dstat tables for the *last* expanding-window fold.\n", + " Mirrors build_metric_tables(), but uses the final (hold-out) test block.\n", + " \"\"\"\n", + " metric_cols = {\"RMSE\": [], \"MAPE\": [], \"Dstat\": []}\n", + " tier_keys = [] # to preserve column order\n", + "\n", + " for tier, fold_list in banks_cv.items():\n", + " bank, X_te, y_te = fold_list[-1] # 5/5th fold\n", + " tier_keys.append(tier)\n", + "\n", + " rows = []\n", + " for name, mdl in bank.items():\n", + " # Either a normal estimator or a wrapper λ that returns preds\n", + " y_pred = mdl(X_te) if callable(mdl) else mdl.predict(X_te)\n", + "\n", + " rows.append({\n", + " \"Model\": name,\n", + " \"RMSE\" : np.sqrt(mean_squared_error(y_te, y_pred)),\n", + " \"MAPE\" : mean_absolute_percentage_error(y_te, y_pred) * 100,\n", + " \"Dstat\": np.mean((np.diff(y_te) * np.diff(y_pred)) > 0),\n", + " })\n", + "\n", + " df = pd.DataFrame(rows).set_index(\"Model\").sort_values(\"RMSE\")\n", + "\n", + " # Collect the metric columns for later paper-style formatting\n", + " for m in metric_cols:\n", + " metric_cols[m].append(df[m])\n", + "\n", + " # Also save the raw per-model table in case you want it\n", + " df.to_csv(save_dir / f\"Raw_Fold5_{tier}_metrics.csv\")\n", + "\n", + " # ---- paper-style summary tables (same as build_metric_tables) ----\n", + " save_and_show(\n", + " paper_style(pd.concat(dict(zip(tier_keys, metric_cols[\"RMSE\"])), axis=1), \"RMSE\"),\n", + " save_dir / \"Table_8T_Test_RMSE.csv\",\n", + " \"Table 8-T – RMSE (Final Test Fold)\",\n", + " )\n", + "\n", + " save_and_show(\n", + " paper_style(pd.concat(dict(zip(tier_keys, metric_cols[\"MAPE\"])), axis=1), \"MAPE\"),\n", + " save_dir / \"Table_9T_Test_MAPE.csv\",\n", + " \"Table 9-T – MAPE (%) (Final Test Fold)\",\n", + " )\n", + "\n", + " save_and_show(\n", + " paper_style(pd.concat(dict(zip(tier_keys, metric_cols[\"Dstat\"])), axis=1), \"Dstat\"),\n", + " save_dir / \"Table_10T_Test_Dstat.csv\",\n", + " \"Table 10-T – Directional Stat (Final Test Fold)\",\n", + " )\n", + "\n", + "\n", + "def pick_best_model(results_cv: Dict[str, pd.DataFrame]):\n", + " best_tier, best_model, best_val = None, None, -np.inf\n", + " for tier, df in results_cv.items():\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", + " print(f\"\\n🏆 Best model = {best_model} (tier {best_tier}) Dstat = {best_val:.4f}\")\n", + " return best_tier, best_model\n", + "\n", + "# ────────────────────────────────────────────────────────────────\n", + "# 11. SHAP & visualisations (last fold of best tier)\n", + "# ────────────────────────────────────────────────────────────────\n", + "\n", + "def visualisations(best_tier: str, best_model: str,\n", + " banks_cv, preds_cv, datasets, tiers):\n", + "\n", + " # Use the *last* fold bank for SHAP explanations\n", + " bank_last, X_te_last, _ = banks_cv[best_tier][-1]\n", + " X_sample = X_te_last.sample(n=min(1500, len(X_te_last)), random_state=42)\n", + "\n", + " tree_names = [\n", + " \"RF\", \"ET\", \"GBDT\", \"XGB\", # TreeSHAP supported\n", + " ]\n", + " shap_vals = []\n", + " for name in tree_names:\n", + " if name not in bank_last:\n", + " continue\n", + " try:\n", + " explainer = shap.TreeExplainer(bank_last[name], feature_perturbation=\"tree_path_dependent\")\n", + " phi = explainer.shap_values(X_sample)\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 shap_vals:\n", + " shap_global = (\n", + " pd.DataFrame(shap_vals, columns=X_te_last.columns, index=tree_names[:len(shap_vals)])\n", + " .mean(axis=0)\n", + " .sort_values(ascending=False)\n", + " )\n", + " topN = min(15, len(shap_global))\n", + " ax = shap_global.head(topN).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()\n", + "\n", + " # Figure 4 – copper & Google Trends (max 6 series)\n", + " if best_tier != \"without\" and tiers[float(best_tier)]:\n", + " gt = tiers[float(best_tier)][:6] # top-6 GT strings\n", + " df = datasets[best_tier] # lagged dataset\n", + " half = max(1, len(gt) // 2)\n", + "\n", + " fig, axs = plt.subplots(2, 1, figsize=(14, 10), sharex=True)\n", + " for ax, subset in zip(axs, (gt[:half], gt[half:])):\n", + " # Copper price on left axis\n", + " ax.plot(df.index, df[\"Copper_Price\"], lw=2, color=\"navy\")\n", + "\n", + " # Google-Trends series on right axis\n", + " axr = ax.twinx()\n", + " for g in subset:\n", + " col = _find_feat_column(g, df) # ← new line\n", + " axr.plot(df.index, df[col], \"--\", lw=1.5, label=g)\n", + " axr.legend(loc=\"upper left\", bbox_to_anchor=(1.02, 1))\n", + "\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()\n", + "\n", + "\n", + " # Figure 5 – Actual vs. all model forecasts\n", + " if best_tier in preds_cv:\n", + " plt.figure(figsize=(14, 7))\n", + " actual = datasets[best_tier][\"Copper_Price\"].loc[preds_cv[best_tier].index]\n", + " plt.plot(actual.index, actual, lw=2, label=\"Actual\")\n", + " for mdl in preds_cv[best_tier]:\n", + " plt.plot(preds_cv[best_tier].index, preds_cv[best_tier][mdl], \"--\", 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), 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", + "\n", + " # Figure 6 – top‑4 models by Dstat\n", + " if best_tier in preds_cv:\n", + " top4 = (\n", + " results_cv[best_tier][\"Dstat\"].sort_values(ascending=False).head(4).index.tolist()\n", + " )\n", + " plt.figure(figsize=(14, 7))\n", + " actual = datasets[best_tier][\"Copper_Price\"].loc[preds_cv[best_tier].index]\n", + " plt.plot(actual.index, actual, lw=2, color=\"black\", label=\"Actual\")\n", + " for mdl in top4:\n", + " plt.plot(preds_cv[best_tier].index, preds_cv[best_tier][mdl], \"--\", 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), 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()\n", + "\n", + "# ────────────────────────────────────────────────────────────────\n", + "# 12. Main execution block\n", + "# ────────────────────────────────────────────────────────────────\n", + "\n", + "def main():\n", + " # 12-1 Data\n", + " copper = load_copper()\n", + " trends = load_trends()\n", + " data_raw = pd.concat([copper, trends], axis=1).dropna()\n", + "\n", + " # 12-2 Screening → tiers\n", + " tiers, _ = feature_screening(data_raw)\n", + "\n", + " # 12-3 Lagged datasets\n", + " datasets = build_datasets(data_raw, tiers)\n", + "\n", + " # 12-4 Expanding‑window CV and scoring\n", + " global results_cv # used later in visualisations\n", + " results_cv, preds_cv, banks_cv = expanding_window_cv(datasets)\n", + "\n", + " # 12-5 Metric tables\n", + " build_metric_tables(results_cv)\n", + " final_fold_metric_tables(banks_cv)\n", + "\n", + " # 12-6 Best model selection\n", + " best_tier, best_model = pick_best_model(results_cv)\n", + "\n", + " # 12-7 SHAP + plots\n", + " visualisations(best_tier, best_model, banks_cv, preds_cv, datasets, tiers)\n", + "\n", + "\n", + "\n", + "if __name__ == \"__main__\":\n", + " main()\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 /Horizon expansion and Direction classification.docx b/Copper Google Trend Analysis Weekly /Horizon expansion and Direction classification.docx new file mode 100644 index 0000000000000000000000000000000000000000..93a8b0e741407e1b68f4eb66c350e3bdb801a446 --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Horizon expansion and Direction classification.docx @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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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 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/dev/null and b/Copper Google Trend Analysis Weekly /Model Results/Horizon_52w/Fig_SHAP_importance_tier0.01.png differ 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/Raw_Fold5_0.01_metrics.csv b/Copper Google Trend Analysis Weekly /Model Results/Raw_Fold5_0.01_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..bbc8e43016f5f291440febb2471a3e0bc765b5ca --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Model Results/Raw_Fold5_0.01_metrics.csv @@ -0,0 +1,17 @@ +Model,RMSE,MAPE,Dstat +LR,0.17734257196428652,2.7124832929729648,0.5 +RF_LR,0.17784646347557156,2.7166740156658156,0.5 +AdaBoost_LR,0.17809034145833674,2.7067466449705213,0.5 +GBDT_LR,0.17926722799002653,2.733248360228985,0.5 +XGB_LR,0.17946003512744876,2.6699351652382193,0.5 +ET_LR,0.17966708570127154,2.748536681525216,0.5476190476190477 +ET_AdaBoost_GBDT_Xgboost_RF_LR,0.18459964435188542,2.7264526623993612,0.5476190476190477 +GBDT,0.18561283533315937,3.1465528945999894,0.5714285714285714 +AdaBoost,0.18847191849775313,3.160998412782013,0.47619047619047616 +RF,0.19466588842040597,3.2016109577991303,0.5 +ET,0.19560426741517564,3.1403654935043006,0.47619047619047616 +XGB,0.2016485186535589,3.5562232324494985,0.47619047619047616 +LSTM,0.3048109910543903,5.412308537027557,0.5238095238095238 +GRU,0.30484119306809093,5.419084991683231,0.5238095238095238 +SVR,0.74306413448764,10.674804831162934,0.5714285714285714 +MLP,1.4194874936419384,16.054094726831092,0.5238095238095238 diff --git a/Copper Google Trend Analysis Weekly /Model Results/Raw_Fold5_0.05_metrics.csv b/Copper Google Trend Analysis Weekly /Model Results/Raw_Fold5_0.05_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..e444507718c2ea058ca33903619464ac6a7dd662 --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Model Results/Raw_Fold5_0.05_metrics.csv @@ -0,0 +1,17 @@ +Model,RMSE,MAPE,Dstat +RF,0.1925050830938236,3.3863018601088717,0.5238095238095238 +ET,0.1948285615634574,3.333027491771089,0.5952380952380952 +AdaBoost,0.19795935592126826,3.312030652877971,0.42857142857142855 +GBDT,0.20052859913588048,3.5735084390447787,0.5 +LR,0.20400797232195797,3.266825456088972,0.47619047619047616 +RF_LR,0.2058991482730966,3.285944211084768,0.47619047619047616 +GBDT_LR,0.20657290768589673,3.310198375976501,0.47619047619047616 +AdaBoost_LR,0.20721365970339595,3.291377053958152,0.47619047619047616 +XGB_LR,0.20782048007998657,3.2960209200469985,0.47619047619047616 +ET_LR,0.21009800097255424,3.2588618382711108,0.4523809523809524 +ET_AdaBoost_GBDT_Xgboost_RF_LR,0.21062330031467236,3.205531105576409,0.5714285714285714 +XGB,0.26516527872336576,4.266488793004498,0.35714285714285715 +LSTM,0.3048109910543903,5.412308537027557,0.5238095238095238 +GRU,0.30484119306809093,5.419084991683231,0.5238095238095238 +SVR,0.49459094824614364,7.702824949084343,0.5 +MLP,2.72504521788916,35.29753462887904,0.42857142857142855 diff --git a/Copper Google Trend Analysis Weekly /Model Results/Raw_Fold5_0.10_metrics.csv b/Copper Google Trend Analysis Weekly /Model Results/Raw_Fold5_0.10_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..314b7564565c69a08a167391a150aa3c59a47714 --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Model Results/Raw_Fold5_0.10_metrics.csv @@ -0,0 +1,17 @@ +Model,RMSE,MAPE,Dstat +ET,0.19286092720745954,3.2961553290577177,0.5952380952380952 +RF,0.19843176292794762,3.504561271782785,0.5476190476190477 +AdaBoost,0.2020335627454334,3.403603079031549,0.5714285714285714 +GBDT,0.21174689996758728,3.768910070459864,0.5952380952380952 +GBDT_LR,0.21393821845791317,3.4498290068871276,0.4523809523809524 +RF_LR,0.21427491195417717,3.4578602743343607,0.4523809523809524 +ET_LR,0.21463773109957496,3.36553844197549,0.47619047619047616 +LR,0.21466781036717314,3.4615154999850524,0.4523809523809524 +AdaBoost_LR,0.21560955028415513,3.459969616715412,0.47619047619047616 +XGB_LR,0.21591973850832374,3.4604650096266365,0.47619047619047616 +ET_AdaBoost_GBDT_Xgboost_RF_LR,0.21646471033106315,3.319811111755116,0.47619047619047616 +XGB,0.26540962786344563,4.236032730338566,0.3333333333333333 +LSTM,0.3048109910543903,5.412308537027557,0.5238095238095238 +GRU,0.30484119306809093,5.419084991683231,0.5238095238095238 +SVR,0.5688322274034011,10.019681010956436,0.5 +MLP,1.9487797523320456,26.962669130723878,0.5 diff --git a/Copper Google Trend Analysis Weekly /Model Results/Raw_Fold5_without_metrics.csv b/Copper Google Trend Analysis Weekly /Model Results/Raw_Fold5_without_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..d8a3b05658a51efc836e428ddeb288e74f6fd40e --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Model Results/Raw_Fold5_without_metrics.csv @@ -0,0 +1,17 @@ +Model,RMSE,MAPE,Dstat +GBDT_LR,0.17684354761845136,2.7059469995780114,0.5238095238095238 +LR,0.17689063477361572,2.705531819389199,0.5238095238095238 +AdaBoost_LR,0.1769042303436083,2.7054441020667634,0.5238095238095238 +ET_AdaBoost_GBDT_Xgboost_RF_LR,0.17693562174512018,2.713763895045098,0.5476190476190477 +RF_LR,0.17695297791623868,2.705290676861164,0.5238095238095238 +ET_LR,0.17710705317645145,2.70305471939107,0.5238095238095238 +XGB_LR,0.17722632041379005,2.702146246484358,0.5238095238095238 +SVR,0.17885690480963626,2.77593215501041,0.5238095238095238 +MLP,0.18023279861418984,2.812930531742415,0.5238095238095238 +ET,0.20642462397094627,3.3786929661535674,0.5476190476190477 +AdaBoost,0.20993084410132462,3.497070708075673,0.40476190476190477 +RF,0.2100644523760708,3.419075875403372,0.42857142857142855 +GBDT,0.21384648444520843,3.497138843088992,0.47619047619047616 +XGB,0.21623331220412068,3.593984898157813,0.30952380952380953 +LSTM,0.3048109910543903,5.412308537027557,0.5238095238095238 +GRU,0.30484119306809093,5.419084991683231,0.5238095238095238 diff --git a/Copper Google Trend Analysis Weekly /Model Results/Table_10T_Test_Dstat.csv b/Copper Google Trend Analysis Weekly /Model Results/Table_10T_Test_Dstat.csv new file mode 100644 index 0000000000000000000000000000000000000000..4c1b8fd889f93e2aba62bd754c24e6524f86a35c --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Model Results/Table_10T_Test_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,,,,,, +LR,0.52,3,0.48,8,0.45,13 +RF_LR,0.52,3,0.48,8,0.45,13 +AdaBoost_LR,0.52,3,0.48,8,0.48,9 +GBDT_LR,0.52,3,0.48,8,0.45,13 +XGB_LR,0.52,3,0.48,8,0.48,9 +ET_LR,0.52,3,0.45,13,0.48,9 +ET_AdaBoost_GBDT_Xgboost_RF_LR,0.55,1,0.57,2,0.48,9 +GBDT,0.48,13,0.50,6,0.60,1 +AdaBoost,0.40,15,0.43,14,0.57,3 +RF,0.43,14,0.52,3,0.55,4 +ET,0.55,1,0.60,1,0.60,1 +XGB,0.31,16,0.36,16,0.33,16 +LSTM,0.52,3,0.52,3,0.52,5 +GRU,0.52,3,0.52,3,0.52,5 +SVR,0.52,3,0.50,6,0.50,7 +MLP,0.52,3,0.43,14,0.50,7 diff --git a/Copper Google Trend Analysis Weekly /Model Results/Table_10_CV_Dstat.csv b/Copper Google Trend Analysis Weekly /Model Results/Table_10_CV_Dstat.csv new file mode 100644 index 0000000000000000000000000000000000000000..c0b40e178f9dde7af6fa8225df0b0b15edc4fa1d --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Model Results/Table_10_CV_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,,,,,, +LR,0.46,3,0.45,11,0.48,5 +RF_LR,0.46,3,0.45,13,0.47,10 +XGB_LR,0.46,3,0.45,13,0.48,5 +GBDT_LR,0.46,3,0.46,7,0.47,10 +AdaBoost_LR,0.46,3,0.46,7,0.48,5 +ET_LR,0.46,3,0.45,13,0.48,5 +GBDT,0.45,13,0.47,5,0.52,2 +AdaBoost,0.39,15,0.45,11,0.46,13 +XGB,0.36,16,0.48,3,0.46,12 +ET_AdaBoost_GBDT_Xgboost_RF_LR,0.47,2,0.47,5,0.48,5 +ET,0.50,1,0.48,4,0.48,4 +RF,0.43,14,0.55,1,0.53,1 +GRU,0.46,3,0.46,7,0.46,13 +LSTM,0.46,3,0.46,7,0.46,13 +SVR,0.46,3,0.49,2,0.46,13 +MLP,0.46,3,0.43,16,0.50,3 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..05485063e9265674b61953ec3aa20beb122f1474 --- /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,0.41,14,0.52,4,0.57,4 +ET,0.50,1,0.50,7,0.57,4 +AdaBoost,0.39,15,0.48,9,0.52,7 +GBDT,0.43,13,0.45,12,0.57,4 +XGB,0.32,16,0.07,16,0.07,16 +LR,0.50,1,0.52,4,0.50,9 +SVR,0.50,1,0.34,13,0.50,9 +MLP,0.50,1,0.57,1,0.48,11 +RF_LR,0.50,1,0.50,7,0.52,7 +ET_LR,0.50,1,0.52,4,0.59,3 +AdaBoost_LR,0.50,1,0.48,9,0.45,12 +GBDT_LR,0.50,1,0.48,9,0.43,13 +XGB_LR,0.50,1,0.57,1,0.61,2 +ET_AdaBoost_GBDT_Xgboost_RF_LR,0.50,1,0.55,3,0.68,1 +LSTM,0.50,1,0.30,14,0.30,14 +GRU,0.50,1,0.30,14,0.30,14 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..d3c977e6caaee50f554e76ab9710ddd64a337b4b --- /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%,9.30%,8.74%,3.30% +AdaBoost,RMSE,0.49,0.52,0.50,0.20 +AdaBoost_LR,Dstat,0.50,0.48,0.45,0.50 +AdaBoost_LR,MAPE,13.46%,13.94%,13.94%,2.66% +AdaBoost_LR,RMSE,0.82,0.99,0.94,0.17 +ET,Dstat,0.39,0.50,0.57,0.50 +ET,MAPE,11.79%,10.49%,10.80%,3.42% +ET,RMSE,0.63,0.57,0.59,0.21 +ET_AdaBoost_GBDT_Xgboost_RF_LR,Dstat,0.41,0.55,0.68,0.50 +ET_AdaBoost_GBDT_Xgboost_RF_LR,MAPE,11.73%,13.23%,14.17%,2.73% +ET_AdaBoost_GBDT_Xgboost_RF_LR,RMSE,0.75,0.95,0.92,0.17 +ET_LR,Dstat,0.43,0.52,0.59,0.50 +ET_LR,MAPE,10.58%,13.04%,13.45%,2.65% +ET_LR,RMSE,0.63,0.97,1.00,0.17 +GBDT,Dstat,0.41,0.45,0.57,0.43 +GBDT,MAPE,8.26%,8.21%,8.98%,3.56% +GBDT,RMSE,0.46,0.46,0.48,0.21 +GBDT_LR,Dstat,0.45,0.48,0.43,0.50 +GBDT_LR,MAPE,14.96%,15.68%,15.31%,2.66% +GBDT_LR,RMSE,0.96,1.15,1.08,0.17 +GRU,Dstat,0.00,0.30,0.30,0.50 +GRU,MAPE,12.27%,9.47%,9.55%,5.53% +GRU,RMSE,0.68,0.53,0.52,0.31 +LR,Dstat,0.43,0.52,0.50,0.50 +LR,MAPE,11.39%,16.04%,16.83%,2.66% +LR,RMSE,0.67,1.21,1.20,0.17 +LSTM,Dstat,0.00,0.30,0.30,0.50 +LSTM,MAPE,12.77%,9.58%,9.31%,4.80% +LSTM,RMSE,0.78,0.55,0.53,0.27 +MLP,Dstat,0.61,0.57,0.48,0.50 +MLP,MAPE,21.05%,28.71%,26.96%,2.70% +MLP,RMSE,1.73,2.55,1.92,0.17 +RF,Dstat,0.57,0.52,0.57,0.41 +RF,MAPE,10.53%,8.96%,9.51%,3.39% +RF,RMSE,0.58,0.51,0.53,0.21 +RF_LR,Dstat,0.41,0.50,0.52,0.50 +RF_LR,MAPE,11.89%,14.52%,14.62%,2.66% +RF_LR,RMSE,0.71,1.12,1.10,0.17 +SVR,Dstat,0.57,0.34,0.50,0.50 +SVR,MAPE,9.75%,10.89%,10.28%,2.86% +SVR,RMSE,0.56,0.61,0.58,0.18 +XGB,Dstat,0.00,0.07,0.07,0.32 +XGB,MAPE,11.87%,11.72%,11.72%,3.62% +XGB,RMSE,0.63,0.62,0.62,0.22 +XGB_LR,Dstat,0.43,0.57,0.61,0.50 +XGB_LR,MAPE,10.89%,13.93%,13.94%,2.65% +XGB_LR,RMSE,0.65,0.96,0.94,0.17 diff --git a/Copper Google Trend Analysis Weekly /Model Results/Table_12_ImprovementRates.csv b/Copper Google Trend Analysis Weekly /Model Results/Table_12_ImprovementRates.csv new file mode 100644 index 0000000000000000000000000000000000000000..2fdaac7ab2859b2f065d099edfa9d1624dd9f49b --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Model Results/Table_12_ImprovementRates.csv @@ -0,0 +1,17 @@ +Model,0.01,0.05 +AdaBoost,0.00%,23.53% +AdaBoost_LR,0.00%,-4.55% +ET,-22.73%,0.00% +ET_AdaBoost_GBDT_Xgboost_RF_LR,-18.18%,9.09% +ET_LR,-13.64%,4.55% +GBDT,-5.26%,5.26% +GBDT_LR,-9.09%,-4.55% +GRU,-100.00%,-40.91% +LR,-13.64%,4.55% +LSTM,-100.00%,-40.91% +MLP,22.73%,13.64% +RF,38.89%,27.78% +RF_LR,-18.18%,0.00% +SVR,13.64%,-31.82% +XGB,-100.00%,-78.57% +XGB_LR,-13.64%,13.64% diff --git a/Copper Google Trend Analysis Weekly /Model Results/Table_8T_Test_RMSE.csv b/Copper Google Trend Analysis Weekly /Model Results/Table_8T_Test_RMSE.csv new file mode 100644 index 0000000000000000000000000000000000000000..617c5be168eabf7f962af63fc725d5d9d695eb3d --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Model Results/Table_8T_Test_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,,,,,, +LR,0.18,2,0.20,5,0.21,8 +RF_LR,0.18,5,0.21,6,0.21,6 +AdaBoost_LR,0.18,3,0.21,8,0.22,9 +GBDT_LR,0.18,1,0.21,7,0.21,5 +XGB_LR,0.18,7,0.21,9,0.22,10 +ET_LR,0.18,6,0.21,10,0.21,7 +ET_AdaBoost_GBDT_Xgboost_RF_LR,0.18,4,0.21,11,0.22,11 +GBDT,0.21,13,0.20,4,0.21,4 +AdaBoost,0.21,11,0.20,3,0.20,3 +RF,0.21,12,0.19,1,0.20,2 +ET,0.21,10,0.19,2,0.19,1 +XGB,0.22,14,0.27,12,0.27,12 +LSTM,0.30,15,0.30,13,0.30,13 +GRU,0.30,16,0.30,14,0.30,14 +SVR,0.18,8,0.49,15,0.57,15 +MLP,0.18,9,2.73,16,1.95,16 diff --git a/Copper Google Trend Analysis Weekly /Model Results/Table_8_CV_RMSE.csv b/Copper Google Trend Analysis Weekly /Model Results/Table_8_CV_RMSE.csv new file mode 100644 index 0000000000000000000000000000000000000000..85fb09333d9a1b86240098853b7b9bbda033c72d --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Model Results/Table_8_CV_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,,,,,, +LR,0.15,2,0.18,1,0.19,1 +RF_LR,0.15,3,0.18,3,0.19,2 +XGB_LR,0.15,1,0.19,7,0.19,6 +GBDT_LR,0.15,6,0.19,5,0.19,4 +AdaBoost_LR,0.15,7,0.18,4,0.19,5 +ET_LR,0.15,5,0.19,9,0.20,9 +GBDT,0.19,14,0.18,2,0.21,10 +AdaBoost,0.18,11,0.19,8,0.19,3 +XGB,0.16,10,0.23,12,0.25,12 +ET_AdaBoost_GBDT_Xgboost_RF_LR,0.16,9,0.22,11,0.24,11 +ET,0.18,13,0.19,10,0.20,8 +RF,0.18,12,0.19,6,0.20,7 +GRU,0.27,15,0.30,13,0.52,14 +LSTM,0.42,16,0.36,14,0.31,13 +SVR,0.15,4,0.63,15,0.92,15 +MLP,0.15,8,1.72,16,1.24,16 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..1333c00bc66291c5c6f5e9b4ee81026786263866 --- /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,0.21,11,0.51,2,0.53,4 +ET,0.21,12,0.57,6,0.59,7 +AdaBoost,0.20,10,0.52,3,0.50,2 +GBDT,0.21,13,0.46,1,0.48,1 +XGB,0.22,14,0.62,8,0.62,8 +LR,0.17,3,1.21,15,1.20,15 +SVR,0.18,9,0.61,7,0.58,6 +MLP,0.17,8,2.55,16,1.92,16 +RF_LR,0.17,1,1.12,13,1.10,14 +ET_LR,0.17,7,0.97,11,1.00,12 +AdaBoost_LR,0.17,6,0.99,12,0.94,10 +GBDT_LR,0.17,4,1.15,14,1.08,13 +XGB_LR,0.17,5,0.96,10,0.94,11 +ET_AdaBoost_GBDT_Xgboost_RF_LR,0.17,2,0.95,9,0.92,9 +LSTM,0.27,15,0.55,5,0.53,5 +GRU,0.31,16,0.53,4,0.52,3 diff --git a/Copper Google Trend Analysis Weekly /Model Results/Table_9T_Test_MAPE.csv b/Copper Google Trend Analysis Weekly /Model Results/Table_9T_Test_MAPE.csv new file mode 100644 index 0000000000000000000000000000000000000000..d52bbc5884804cda9cd01202e846b55db16a3222 --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Model Results/Table_9T_Test_MAPE.csv @@ -0,0 +1,19 @@ +,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,,,,,, +LR,2.71%,5,3.27%,3,3.46%,9 +RF_LR,2.71%,3,3.29%,4,3.46%,6 +AdaBoost_LR,2.71%,4,3.29%,5,3.46%,7 +GBDT_LR,2.71%,6,3.31%,7,3.45%,5 +XGB_LR,2.70%,1,3.30%,6,3.46%,8 +ET_LR,2.70%,2,3.26%,2,3.37%,3 +ET_AdaBoost_GBDT_Xgboost_RF_LR,2.71%,7,3.21%,1,3.32%,2 +GBDT,3.50%,13,3.57%,11,3.77%,11 +AdaBoost,3.50%,12,3.31%,8,3.40%,4 +RF,3.42%,11,3.39%,10,3.50%,10 +ET,3.38%,10,3.33%,9,3.30%,1 +XGB,3.59%,14,4.27%,12,4.24%,12 +LSTM,5.41%,15,5.41%,13,5.41%,13 +GRU,5.42%,16,5.42%,14,5.42%,14 +SVR,2.78%,8,7.70%,15,10.02%,15 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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..1b99236fce1e80453e4b420ec70c6368890abdbc --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Statistical Testing Results/Table_6_Granger.csv @@ -0,0 +1,469 @@ +,Series,Lag,p +18,5G technology,1,0.9159165818619813 +19,5G technology,2,0.49529548102489795 +20,5G technology,3,0.47653991660109074 +21,5G technology,4,0.5444024578289668 +22,5G technology,5,0.3708997537317965 +23,5G technology,6,0.4893787092378994 +24,5G technology,7,0.5591337906220196 +25,5G technology,8,0.6000526502149184 +26,5G technology,9,0.6043697614947844 +27,5G technology,10,0.6905494567454805 +28,5G technology,11,0.749599885797955 +29,5G technology,12,0.7549690623918324 +30,5G technology,13,0.853803202648366 +31,5G technology,14,0.8606441560772671 +32,5G technology,15,0.9026168712084071 +33,5G technology,16,0.8610985216853357 +34,5G technology,17,0.9083208128855281 +35,5G technology,18,0.9430712371842558 +360,Bloomberg,1,0.9373725690876789 +361,Bloomberg,2,0.9382834417266552 +362,Bloomberg,3,0.851908826221972 +363,Bloomberg,4,0.9094769836137252 +364,Bloomberg,5,0.820888217569458 +365,Bloomberg,6,0.7215005361772231 +366,Bloomberg,7,0.5095108281818437 +367,Bloomberg,8,0.6050363856059027 +368,Bloomberg,9,0.675076980063749 +369,Bloomberg,10,0.6975553200286212 +370,Bloomberg,11,0.7239184653286467 +371,Bloomberg,12,0.6148853666895242 +372,Bloomberg,13,0.3936548211673645 +373,Bloomberg,14,0.3794899695327453 +374,Bloomberg,15,0.4224832110432197 +375,Bloomberg,16,0.4291678238735117 +376,Bloomberg,17,0.3698402737270585 +377,Bloomberg,18,0.4222881130399857 +234,COVID,1,0.7731600909856159 +235,COVID,2,0.9241024497223467 +236,COVID,3,0.7945411342024373 +237,COVID,4,0.7222368981542331 +238,COVID,5,0.7062625175485184 +239,COVID,6,0.7780920373818488 +240,COVID,7,0.8417319663765315 +241,COVID,8,0.8932148389323299 +242,COVID,9,0.8944000977742255 +243,COVID,10,0.9290825197815045 +244,COVID,11,0.8791808734756489 +245,COVID,12,0.9453051019188792 +246,COVID,13,0.9595875709840815 +247,COVID,14,0.6627056770644102 +248,COVID,15,0.6924122019785477 +249,COVID,16,0.725922272214791 +250,COVID,17,0.6907523173531827 +251,COVID,18,0.7615166384457455 +324,COVID copper,1,0.9327014049186207 +325,COVID copper,2,0.90924996008464 +326,COVID copper,3,0.9588734681082619 +327,COVID copper,4,0.9047301684477952 +328,COVID copper,5,0.9575888945210115 +329,COVID copper,6,0.8123293850743405 +330,COVID copper,7,0.46987414843855513 +331,COVID copper,8,0.5607381228463013 +332,COVID copper,9,0.6060352885545855 +333,COVID copper,10,0.7021396026948946 +334,COVID copper,11,0.7206468491947282 +335,COVID copper,12,0.7786172845667545 +336,COVID copper,13,0.820747040873617 +337,COVID copper,14,0.7345127290003379 +338,COVID copper,15,0.7393189633529477 +339,COVID copper,16,0.8108885882162604 +340,COVID copper,17,0.8419403023583193 +341,COVID copper,18,0.8958810054955321 +306,China US trade tensions,1,0.02629490201442455 +307,China US trade tensions,2,0.06539373364930076 +308,China US trade tensions,3,0.12926853137453465 +309,China US trade tensions,4,0.20572259661203243 +310,China US trade tensions,5,0.029613873185664313 +311,China US trade tensions,6,0.0440509270595246 +312,China US trade tensions,7,0.08414109710330413 +313,China US trade tensions,8,0.06064395937593849 +314,China US trade tensions,9,0.16408666484594467 +315,China US trade tensions,10,0.21673185463124697 +316,China US trade tensions,11,0.20058416694125564 +317,China US trade tensions,12,0.35281292891739613 +318,China US trade tensions,13,0.13101256465916714 +319,China US trade tensions,14,0.1321945339217454 +320,China US trade tensions,15,0.17690410118235927 +321,China US trade tensions,16,0.2203593395662829 +322,China US trade tensions,17,0.28265201113020716 +323,China US trade tensions,18,0.22849387573669988 +90,Copper concentrate,1,0.8765381411186132 +91,Copper concentrate,2,0.707962969755842 +92,Copper concentrate,3,0.4333232653576077 +93,Copper concentrate,4,0.46768296275521815 +94,Copper concentrate,5,0.3196170019538358 +95,Copper concentrate,6,0.19577823515995063 +96,Copper concentrate,7,0.2669073121712213 +97,Copper concentrate,8,0.18010139541052328 +98,Copper concentrate,9,0.33050877702695836 +99,Copper concentrate,10,0.4510275585254798 +100,Copper concentrate,11,0.5509749319664994 +101,Copper concentrate,12,0.42133303292864327 +102,Copper concentrate,13,0.3159393086930207 +103,Copper concentrate,14,0.15150873213497085 +104,Copper concentrate,15,0.1173620496559654 +105,Copper concentrate,16,0.13719909095666152 +106,Copper concentrate,17,0.19442896852313424 +107,Copper concentrate,18,0.2633893203429227 +54,Copper ore reserves,1,0.4244620230585562 +55,Copper ore reserves,2,0.16825582757047985 +56,Copper ore reserves,3,0.3155181283114864 +57,Copper ore reserves,4,0.38435497562971416 +58,Copper ore reserves,5,0.2715333779914897 +59,Copper ore reserves,6,0.12953013970287353 +60,Copper ore reserves,7,0.23173288769875203 +61,Copper ore reserves,8,0.3228516286120197 +62,Copper ore reserves,9,0.0956135554464416 +63,Copper ore reserves,10,0.03237720433598934 +64,Copper ore reserves,11,0.03677145380393085 +65,Copper ore reserves,12,0.012234082970865336 +66,Copper ore reserves,13,0.01701745495324831 +67,Copper ore reserves,14,0.021351429295337548 +68,Copper ore reserves,15,0.031682535700065254 +69,Copper ore reserves,16,0.009196495563352362 +70,Copper ore reserves,17,0.013003753841617666 +71,Copper ore reserves,18,0.017589982493530065 +378,Copper price forecast,1,0.9635539120194619 +379,Copper price forecast,2,0.9818931213487152 +380,Copper price forecast,3,0.9400638869796488 +381,Copper price forecast,4,0.864460910802699 +382,Copper price forecast,5,0.9228424345678325 +383,Copper price forecast,6,0.7506427290877643 +384,Copper price forecast,7,0.8862282887640157 +385,Copper price forecast,8,0.8426795539485948 +386,Copper price forecast,9,0.9329028894543528 +387,Copper price forecast,10,0.9543651890126326 +388,Copper price forecast,11,0.9679767745187506 +389,Copper price forecast,12,0.9698072415152257 +390,Copper price forecast,13,0.9735639469100901 +391,Copper price forecast,14,0.9570419963362877 +392,Copper price forecast,15,0.9754526025024647 +393,Copper price forecast,16,0.9808454897879619 +394,Copper price forecast,17,0.9902099652982405 +395,Copper price forecast,18,0.9869152474875532 +288,Copper tariff,1,0.030812899648414733 +289,Copper tariff,2,0.04466304062249766 +290,Copper tariff,3,0.06384408986329058 +291,Copper tariff,4,0.015730077867489367 +292,Copper tariff,5,0.029881140979751995 +293,Copper tariff,6,0.003966605153590163 +294,Copper tariff,7,0.009512947186392333 +295,Copper tariff,8,0.01823934479119159 +296,Copper tariff,9,0.005632154472539084 +297,Copper tariff,10,0.008428170503328442 +298,Copper tariff,11,0.013759661780448199 +299,Copper tariff,12,0.009124012299402415 +300,Copper tariff,13,0.014000270811958156 +301,Copper tariff,14,0.02003522791277708 +302,Copper tariff,15,0.017145610474362385 +303,Copper tariff,16,0.025920003926609213 +304,Copper tariff,17,0.0396456282663128 +305,Copper tariff,18,0.04995495207960125 +72,Currency exchange rates,1,0.1419918430297246 +73,Currency exchange rates,2,0.26115679033801414 +74,Currency exchange rates,3,0.23916779807238778 +75,Currency exchange rates,4,0.21922394135345274 +76,Currency exchange rates,5,0.29746889193571324 +77,Currency exchange rates,6,0.3584598935734976 +78,Currency exchange rates,7,0.16259713893780173 +79,Currency exchange rates,8,0.2279750555642921 +80,Currency exchange rates,9,0.23477906746659463 +81,Currency exchange rates,10,0.21807699154276144 +82,Currency exchange rates,11,0.28921396535403154 +83,Currency exchange rates,12,0.40026136675718976 +84,Currency exchange rates,13,0.4528254267450095 +85,Currency exchange rates,14,0.4561878085130855 +86,Currency exchange rates,15,0.5353733819466852 +87,Currency exchange rates,16,0.3936272696249288 +88,Currency exchange rates,17,0.48222939872812787 +89,Currency exchange rates,18,0.48216457965100135 +342,Electric vehicle demand,1,0.8976785774288921 +343,Electric vehicle demand,2,0.7906151901384746 +344,Electric vehicle demand,3,0.9368715837496564 +345,Electric vehicle demand,4,0.9811372261017929 +346,Electric vehicle demand,5,0.9958503167925286 +347,Electric vehicle demand,6,0.993935659331438 +348,Electric vehicle demand,7,0.9898882701543672 +349,Electric vehicle demand,8,0.9733401574005699 +350,Electric vehicle demand,9,0.9735533819190786 +351,Electric vehicle demand,10,0.9517311584293493 +352,Electric vehicle demand,11,0.9625531710300501 +353,Electric vehicle demand,12,0.9438884560350119 +354,Electric vehicle demand,13,0.9742902227680363 +355,Electric vehicle demand,14,0.9874532004179745 +356,Electric vehicle demand,15,0.9928523320084212 +357,Electric vehicle demand,16,0.9947126689254747 +358,Electric vehicle demand,17,0.9961262082700303 +359,Electric vehicle demand,18,0.9773254969809411 +36,Electronics manufacturing,1,0.3316885833519133 +37,Electronics manufacturing,2,0.03706742005836293 +38,Electronics manufacturing,3,0.07781132393760386 +39,Electronics manufacturing,4,0.16042678025357537 +40,Electronics manufacturing,5,0.24049737475980512 +41,Electronics manufacturing,6,0.13278676701888797 +42,Electronics manufacturing,7,0.1777065557945776 +43,Electronics manufacturing,8,0.24454941814322892 +44,Electronics manufacturing,9,0.3090918286977282 +45,Electronics manufacturing,10,0.31131479888170616 +46,Electronics manufacturing,11,0.32789590777872046 +47,Electronics manufacturing,12,0.2073724752034057 +48,Electronics manufacturing,13,0.10759761881593831 +49,Electronics manufacturing,14,0.12756505055234513 +50,Electronics manufacturing,15,0.17205429175461726 +51,Electronics manufacturing,16,0.1960301698264288 +52,Electronics manufacturing,17,0.25268314458943464 +53,Electronics manufacturing,18,0.32072928067566386 +180,Energy crisis,1,0.9521676816304123 +181,Energy crisis,2,0.9600307736395036 +182,Energy crisis,3,0.9970436891835525 +183,Energy crisis,4,0.9501388560778845 +184,Energy crisis,5,0.5679643504770043 +185,Energy crisis,6,0.673591024304699 +186,Energy crisis,7,0.8023652029556971 +187,Energy crisis,8,0.8390353339334176 +188,Energy crisis,9,0.905387135527101 +189,Energy crisis,10,0.8952303325061479 +190,Energy crisis,11,0.9351118237821794 +191,Energy crisis,12,0.9734723502842226 +192,Energy crisis,13,0.990820780286884 +193,Energy crisis,14,0.9882523799476532 +194,Energy crisis,15,0.910692537638235 +195,Energy crisis,16,0.9228896555286099 +196,Energy crisis,17,0.946961492243023 +197,Energy crisis,18,0.9362997549517835 +270,Euro exchange rate,1,0.061473675321994235 +271,Euro exchange rate,2,0.1371360737479601 +272,Euro exchange rate,3,0.03491123402628923 +273,Euro exchange rate,4,0.060300883578437506 +274,Euro exchange rate,5,0.11926971978410036 +275,Euro exchange rate,6,0.16390674551256387 +276,Euro exchange rate,7,0.01660279583071963 +277,Euro exchange rate,8,0.014947095442888195 +278,Euro exchange rate,9,0.0024234948205200976 +279,Euro exchange rate,10,0.005903534025931635 +280,Euro exchange rate,11,0.004634334031450184 +281,Euro exchange rate,12,0.0294320399360707 +282,Euro exchange rate,13,0.0411014926752419 +283,Euro exchange rate,14,0.054769310197870305 +284,Euro exchange rate,15,0.0801883283046008 +285,Euro exchange rate,16,0.08984560527108484 +286,Euro exchange rate,17,0.13005297392167567 +287,Euro exchange rate,18,0.13392826642750866 +252,Extreme weather,1,0.35394222706158585 +253,Extreme weather,2,0.0087324091530471 +254,Extreme weather,3,0.020591337500341138 +255,Extreme weather,4,0.03657530456855579 +256,Extreme weather,5,0.06700786570444998 +257,Extreme weather,6,0.001187568867877637 +258,Extreme weather,7,0.0006772250750413494 +259,Extreme weather,8,0.001195129844746407 +260,Extreme weather,9,0.0028237443228702154 +261,Extreme weather,10,0.0018897461936836358 +262,Extreme weather,11,0.0038116637841055646 +263,Extreme weather,12,0.009743404072725304 +264,Extreme weather,13,0.020376376589088245 +265,Extreme weather,14,0.009097855107612752 +266,Extreme weather,15,0.010835318172283968 +267,Extreme weather,16,0.016634667114658174 +268,Extreme weather,17,0.022100438466853785 +269,Extreme weather,18,0.038665337328662154 +432,Global GDP growth,1,0.20735222360435202 +433,Global GDP growth,2,0.4743237735856993 +434,Global GDP growth,3,0.6433153985151694 +435,Global GDP growth,4,0.8032072342204077 +436,Global GDP growth,5,0.8367194029206297 +437,Global GDP growth,6,0.8237698848558651 +438,Global GDP growth,7,0.8469785100503591 +439,Global GDP growth,8,0.6872655187237889 +440,Global GDP growth,9,0.3244915686132239 +441,Global GDP growth,10,0.43018745172289063 +442,Global GDP growth,11,0.3807624115540826 +443,Global GDP growth,12,0.34571869387231213 +444,Global GDP growth,13,0.49012018048982153 +445,Global GDP growth,14,0.4784838353048402 +446,Global GDP growth,15,0.49689352527453856 +447,Global GDP growth,16,0.16939949990243458 +448,Global GDP growth,17,0.2295661976719711 +449,Global GDP growth,18,0.24834059274354903 +0,Iran Iraq War,1,0.049123155935223144 +1,Iran Iraq War,2,0.07462473397723732 +2,Iran Iraq War,3,0.15217185969149172 +3,Iran Iraq War,4,0.14624994744893294 +4,Iran Iraq War,5,0.0439428906994743 +5,Iran Iraq War,6,0.03937282637555698 +6,Iran Iraq War,7,0.060403377490978294 +7,Iran Iraq 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 +216,Manufacturing PMI,1,0.3598745882754598 +217,Manufacturing PMI,2,0.6423537537715641 +218,Manufacturing PMI,3,0.5093139482701086 +219,Manufacturing PMI,4,0.5780038415213586 +220,Manufacturing PMI,5,0.7037432316655365 +221,Manufacturing PMI,6,0.8169149023708406 +222,Manufacturing PMI,7,0.45398466159243633 +223,Manufacturing PMI,8,0.5229732832549099 +224,Manufacturing PMI,9,0.5931132885373239 +225,Manufacturing PMI,10,0.6824729357387911 +226,Manufacturing PMI,11,0.6314443892324761 +227,Manufacturing PMI,12,0.5358750364967648 +228,Manufacturing PMI,13,0.6375742444946709 +229,Manufacturing PMI,14,0.6973634771585226 +230,Manufacturing PMI,15,0.7212187551463602 +231,Manufacturing PMI,16,0.772025830365107 +232,Manufacturing PMI,17,0.6866386779704192 +233,Manufacturing PMI,18,0.723810553429872 +108,Middle East conflicts,1,0.17312723759518492 +109,Middle East conflicts,2,0.3018580268740306 +110,Middle East conflicts,3,0.4454858722298709 +111,Middle East conflicts,4,0.509899610084638 +112,Middle East conflicts,5,0.3008056057913095 +113,Middle East conflicts,6,0.3208141472856209 +114,Middle East conflicts,7,0.3236872420662032 +115,Middle East conflicts,8,0.05801213929878935 +116,Middle East conflicts,9,0.08987463805969403 +117,Middle East conflicts,10,0.15859983798755078 +118,Middle East conflicts,11,0.21167687421941803 +119,Middle East conflicts,12,0.1327957202953728 +120,Middle East conflicts,13,0.15763712686294892 +121,Middle East conflicts,14,0.18746676154420774 +122,Middle East conflicts,15,0.237724092707773 +123,Middle East conflicts,16,0.18732438262856344 +124,Middle East conflicts,17,0.23246419612791774 +125,Middle East conflicts,18,0.33109326324132365 +126,Mining sanctions,1,0.05708937781365619 +127,Mining sanctions,2,0.1672174308510578 +128,Mining sanctions,3,0.03234145213352448 +129,Mining sanctions,4,0.03263973183401893 +130,Mining sanctions,5,0.0578390385474427 +131,Mining sanctions,6,0.08333863020092151 +132,Mining sanctions,7,0.0769704765598627 +133,Mining sanctions,8,0.10958126205652778 +134,Mining sanctions,9,0.14543940478017164 +135,Mining sanctions,10,0.05307488863640703 +136,Mining sanctions,11,0.04837374636896882 +137,Mining sanctions,12,0.016535795025892912 +138,Mining sanctions,13,0.03002834658481318 +139,Mining sanctions,14,0.0061395866661793416 +140,Mining sanctions,15,0.010897819089317537 +141,Mining sanctions,16,0.016606421298310525 +142,Mining sanctions,17,0.01657943212710057 +143,Mining sanctions,18,0.0306162439307639 +162,RMB exchange rate,1,0.6187184424199019 +163,RMB exchange rate,2,0.5530261263648777 +164,RMB exchange rate,3,0.5252282543398799 +165,RMB exchange rate,4,0.6024697603879936 +166,RMB exchange rate,5,0.7220700401855528 +167,RMB exchange rate,6,0.7968823894189948 +168,RMB exchange rate,7,0.3897085475803788 +169,RMB exchange rate,8,0.49178024319018054 +170,RMB exchange rate,9,0.39515042639839326 +171,RMB exchange rate,10,0.5608195763921615 +172,RMB exchange rate,11,0.6599275057410863 +173,RMB exchange rate,12,0.677730896760367 +174,RMB exchange rate,13,0.3306881867823586 +175,RMB exchange rate,14,0.38735460916418096 +176,RMB exchange rate,15,0.2776350820166843 +177,RMB exchange rate,16,0.33309833559742785 +178,RMB exchange rate,17,0.3935007964146492 +179,RMB exchange rate,18,0.517225016858466 +198,Scrap copper prices,1,0.4446837933331351 +199,Scrap copper prices,2,0.5952248720455857 +200,Scrap copper prices,3,0.13705050915493383 +201,Scrap copper prices,4,0.14711837737746583 +202,Scrap copper prices,5,0.14276066900618192 +203,Scrap copper prices,6,0.19150437928406638 +204,Scrap copper prices,7,0.26472513744231874 +205,Scrap copper prices,8,0.33113866411476334 +206,Scrap copper prices,9,0.203993745091993 +207,Scrap copper prices,10,0.15844320540681228 +208,Scrap copper prices,11,0.21316334261799563 +209,Scrap copper prices,12,0.1402216301444148 +210,Scrap copper prices,13,0.12027362613076727 +211,Scrap copper prices,14,0.1274971495190501 +212,Scrap copper prices,15,0.1083325969635566 +213,Scrap copper prices,16,0.15217098115345168 +214,Scrap copper prices,17,0.10991161352061225 +215,Scrap copper prices,18,0.08719843512658462 +396,Terrorist attack,1,0.697469331938274 +397,Terrorist attack,2,0.6235696955791828 +398,Terrorist attack,3,0.7964934061825578 +399,Terrorist attack,4,0.22702194126647127 +400,Terrorist attack,5,0.2916394286411639 +401,Terrorist attack,6,0.1713838827878537 +402,Terrorist attack,7,0.2614975260256462 +403,Terrorist attack,8,0.359098598991027 +404,Terrorist attack,9,0.10197853838407137 +405,Terrorist attack,10,0.0869719053447491 +406,Terrorist attack,11,0.10196302646204394 +407,Terrorist attack,12,0.09901628233466207 +408,Terrorist attack,13,0.002875532182095716 +409,Terrorist attack,14,0.002010362598092303 +410,Terrorist attack,15,0.0008197081703671321 +411,Terrorist attack,16,0.001217100924856332 +412,Terrorist attack,17,0.0009071989107351268 +413,Terrorist attack,18,0.0010516542742840707 +414,Trade war,1,0.01290009388442104 +415,Trade war,2,0.030157466244185242 +416,Trade war,3,0.036214478178312665 +417,Trade war,4,0.09605159176523902 +418,Trade war,5,0.0718612526197444 +419,Trade war,6,0.03354657167593109 +420,Trade war,7,0.06659356820627206 +421,Trade war,8,0.012377456074679724 +422,Trade war,9,0.012138896687902767 +423,Trade war,10,0.034772336886755656 +424,Trade war,11,0.023004237497195833 +425,Trade war,12,0.04542422432725075 +426,Trade war,13,0.030853755400152574 +427,Trade war,14,0.02865650448470147 +428,Trade 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0000000000000000000000000000000000000000..7cbea2ebfae866285e49bb2e157eab23c9da63cc --- /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 +Mining sanctions,0.0061395866661793416,14,True,True,True +Copper ore reserves,0.009196495563352362,16,True,True,True +Trade war,0.012138896687902767,9,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 +Scrap copper 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--git a/Copper Google Trend Analysis Weekly /Sudden Factors/Iran Iraq War.csv b/Copper Google Trend Analysis Weekly /Sudden Factors/Iran Iraq War.csv new file mode 100644 index 0000000000000000000000000000000000000000..99751c153cb01d7514ecdeb9da455c685d44f889 --- /dev/null +++ b/Copper Google Trend Analysis Weekly /Sudden Factors/Iran Iraq War.csv @@ -0,0 +1,263 @@ +Date,Interest +2020-06-28,4 +2020-07-05,4 +2020-07-12,4 +2020-07-19,5 +2020-07-26,4 +2020-08-02,5 +2020-08-09,4 +2020-08-16,5 +2020-08-23,4 +2020-08-30,4 +2020-09-06,5 +2020-09-13,5 +2020-09-20,7 +2020-09-27,5 +2020-10-04,4 +2020-10-11,4 +2020-10-18,4 +2020-10-25,4 +2020-11-01,4 +2020-11-08,4 +2020-11-15,4 +2020-11-22,6 +2020-11-29,5 +2020-12-06,4 +2020-12-13,4 +2020-12-20,4 +2020-12-27,5 +2021-01-03,5 +2021-01-10,4 +2021-01-17,4 +2021-01-24,4 +2021-01-31,4 +2021-02-07,4 +2021-02-14,4 +2021-02-21,5 +2021-02-28,5 +2021-03-07,5 +2021-03-14,4 +2021-03-21,4 +2021-03-28,5 +2021-04-04,4 +2021-04-11,5 +2021-04-18,5 +2021-04-25,4 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