{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "from sklearn.preprocessing import LabelEncoder\n", "from sklearn.preprocessing import OneHotEncoder\n", "from sklearn.linear_model import LinearRegression\n", "from sklearn import metrics\n", "import statsmodels.api as sm\n", "from collections import OrderedDict, defaultdict\n", "from sklearn.ensemble import RandomForestRegressor, GradientBoostingRegressor\n", "from sklearn.model_selection import RandomizedSearchCV" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Multiple Regression of House Prices\n", "\n", "Kaggle Account: [mkivenson](https://www.kaggle.com/mkivenson/competitions)\n", "\n", "Score: 0.13507" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Load Train and Test Data\n", "\n", "Loan the train and test datasets, saved from Kaggle to Github." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "#data\n", "train = pd.read_csv(\"https://raw.githubusercontent.com/mkivenson/Computational-Mathematics/master/Final%20Project/train.csv\")\n", "train_copy = pd.read_csv(\"https://raw.githubusercontent.com/mkivenson/Computational-Mathematics/master/Final%20Project/train.csv\")\n", "\n", "test = pd.read_csv(\"https://raw.githubusercontent.com/mkivenson/Computational-Mathematics/master/Final%20Project/test.csv\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The following is a summary of each of the features of the training dataset for house prices." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
IdMSSubClassLotFrontageLotAreaOverallQualOverallCondYearBuiltYearRemodAddMasVnrAreaBsmtFinSF1...WoodDeckSFOpenPorchSFEnclosedPorch3SsnPorchScreenPorchPoolAreaMiscValMoSoldYrSoldSalePrice
count1460.0000001460.0000001201.0000001460.0000001460.0000001460.0000001460.0000001460.0000001452.0000001460.000000...1460.0000001460.0000001460.0000001460.0000001460.0000001460.0000001460.0000001460.0000001460.0000001460.000000
mean730.50000056.89726070.04995810516.8280826.0993155.5753421971.2678081984.865753103.685262443.639726...94.24452146.66027421.9541103.40958915.0609592.75890443.4890416.3219182007.815753180921.195890
std421.61000942.30057124.2847529981.2649321.3829971.11279930.20290420.645407181.066207456.098091...125.33879466.25602861.11914929.31733155.75741540.177307496.1230242.7036261.32809579442.502883
min1.00000020.00000021.0000001300.0000001.0000001.0000001872.0000001950.0000000.0000000.000000...0.0000000.0000000.0000000.0000000.0000000.0000000.0000001.0000002006.00000034900.000000
25%365.75000020.00000059.0000007553.5000005.0000005.0000001954.0000001967.0000000.0000000.000000...0.0000000.0000000.0000000.0000000.0000000.0000000.0000005.0000002007.000000129975.000000
50%730.50000050.00000069.0000009478.5000006.0000005.0000001973.0000001994.0000000.000000383.500000...0.00000025.0000000.0000000.0000000.0000000.0000000.0000006.0000002008.000000163000.000000
75%1095.25000070.00000080.00000011601.5000007.0000006.0000002000.0000002004.000000166.000000712.250000...168.00000068.0000000.0000000.0000000.0000000.0000000.0000008.0000002009.000000214000.000000
max1460.000000190.000000313.000000215245.00000010.0000009.0000002010.0000002010.0000001600.0000005644.000000...857.000000547.000000552.000000508.000000480.000000738.00000015500.00000012.0000002010.000000755000.000000
\n", "

8 rows × 38 columns

\n", "
" ], "text/plain": [ " Id MSSubClass LotFrontage LotArea OverallQual \\\n", "count 1460.000000 1460.000000 1201.000000 1460.000000 1460.000000 \n", "mean 730.500000 56.897260 70.049958 10516.828082 6.099315 \n", "std 421.610009 42.300571 24.284752 9981.264932 1.382997 \n", "min 1.000000 20.000000 21.000000 1300.000000 1.000000 \n", "25% 365.750000 20.000000 59.000000 7553.500000 5.000000 \n", "50% 730.500000 50.000000 69.000000 9478.500000 6.000000 \n", "75% 1095.250000 70.000000 80.000000 11601.500000 7.000000 \n", "max 1460.000000 190.000000 313.000000 215245.000000 10.000000 \n", "\n", " OverallCond YearBuilt YearRemodAdd MasVnrArea BsmtFinSF1 ... \\\n", "count 1460.000000 1460.000000 1460.000000 1452.000000 1460.000000 ... \n", "mean 5.575342 1971.267808 1984.865753 103.685262 443.639726 ... \n", "std 1.112799 30.202904 20.645407 181.066207 456.098091 ... \n", "min 1.000000 1872.000000 1950.000000 0.000000 0.000000 ... \n", "25% 5.000000 1954.000000 1967.000000 0.000000 0.000000 ... \n", "50% 5.000000 1973.000000 1994.000000 0.000000 383.500000 ... \n", "75% 6.000000 2000.000000 2004.000000 166.000000 712.250000 ... \n", "max 9.000000 2010.000000 2010.000000 1600.000000 5644.000000 ... \n", "\n", " WoodDeckSF OpenPorchSF EnclosedPorch 3SsnPorch ScreenPorch \\\n", "count 1460.000000 1460.000000 1460.000000 1460.000000 1460.000000 \n", "mean 94.244521 46.660274 21.954110 3.409589 15.060959 \n", "std 125.338794 66.256028 61.119149 29.317331 55.757415 \n", "min 0.000000 0.000000 0.000000 0.000000 0.000000 \n", "25% 0.000000 0.000000 0.000000 0.000000 0.000000 \n", "50% 0.000000 25.000000 0.000000 0.000000 0.000000 \n", "75% 168.000000 68.000000 0.000000 0.000000 0.000000 \n", "max 857.000000 547.000000 552.000000 508.000000 480.000000 \n", "\n", " PoolArea MiscVal MoSold YrSold SalePrice \n", "count 1460.000000 1460.000000 1460.000000 1460.000000 1460.000000 \n", "mean 2.758904 43.489041 6.321918 2007.815753 180921.195890 \n", "std 40.177307 496.123024 2.703626 1.328095 79442.502883 \n", "min 0.000000 0.000000 1.000000 2006.000000 34900.000000 \n", "25% 0.000000 0.000000 5.000000 2007.000000 129975.000000 \n", "50% 0.000000 0.000000 6.000000 2008.000000 163000.000000 \n", "75% 0.000000 0.000000 8.000000 2009.000000 214000.000000 \n", "max 738.000000 15500.000000 12.000000 2010.000000 755000.000000 \n", "\n", "[8 rows x 38 columns]" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "train.describe()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Data Preprocessing\n", "### Columns With NaN\n", "\n", "The following columns have columns with NaN values." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
LotFrontageAlleyMasVnrTypeMasVnrAreaBsmtQualBsmtCondBsmtExposureBsmtFinType1BsmtFinType2ElectricalFireplaceQuGarageTypeGarageYrBltGarageFinishGarageQualGarageCondPoolQCFenceMiscFeature
065.0NaNBrkFace196.0GdTANoGLQUnfSBrkrNaNAttchd2003.0RFnTATANaNNaNNaN
180.0NaNNone0.0GdTAGdALQUnfSBrkrTAAttchd1976.0RFnTATANaNNaNNaN
268.0NaNBrkFace162.0GdTAMnGLQUnfSBrkrTAAttchd2001.0RFnTATANaNNaNNaN
360.0NaNNone0.0TAGdNoALQUnfSBrkrGdDetchd1998.0UnfTATANaNNaNNaN
484.0NaNBrkFace350.0GdTAAvGLQUnfSBrkrTAAttchd2000.0RFnTATANaNNaNNaN
............................................................
145562.0NaNNone0.0GdTANoUnfUnfSBrkrTAAttchd1999.0RFnTATANaNNaNNaN
145685.0NaNStone119.0GdTANoALQRecSBrkrTAAttchd1978.0UnfTATANaNMnPrvNaN
145766.0NaNNone0.0TAGdNoGLQUnfSBrkrGdAttchd1941.0RFnTATANaNGdPrvShed
145868.0NaNNone0.0TATAMnGLQRecFuseANaNAttchd1950.0UnfTATANaNNaNNaN
145975.0NaNNone0.0TATANoBLQLwQSBrkrNaNAttchd1965.0FinTATANaNNaNNaN
\n", "

1460 rows × 19 columns

\n", "
" ], "text/plain": [ " LotFrontage Alley MasVnrType MasVnrArea BsmtQual BsmtCond BsmtExposure \\\n", "0 65.0 NaN BrkFace 196.0 Gd TA No \n", "1 80.0 NaN None 0.0 Gd TA Gd \n", "2 68.0 NaN BrkFace 162.0 Gd TA Mn \n", "3 60.0 NaN None 0.0 TA Gd No \n", "4 84.0 NaN BrkFace 350.0 Gd TA Av \n", "... ... ... ... ... ... ... ... \n", "1455 62.0 NaN None 0.0 Gd TA No \n", "1456 85.0 NaN Stone 119.0 Gd TA No \n", "1457 66.0 NaN None 0.0 TA Gd No \n", "1458 68.0 NaN None 0.0 TA TA Mn \n", "1459 75.0 NaN None 0.0 TA TA No \n", "\n", " BsmtFinType1 BsmtFinType2 Electrical FireplaceQu GarageType GarageYrBlt \\\n", "0 GLQ Unf SBrkr NaN Attchd 2003.0 \n", "1 ALQ Unf SBrkr TA Attchd 1976.0 \n", "2 GLQ Unf SBrkr TA Attchd 2001.0 \n", "3 ALQ Unf SBrkr Gd Detchd 1998.0 \n", "4 GLQ Unf SBrkr TA Attchd 2000.0 \n", "... ... ... ... ... ... ... \n", "1455 Unf Unf SBrkr TA Attchd 1999.0 \n", "1456 ALQ Rec SBrkr TA Attchd 1978.0 \n", "1457 GLQ Unf SBrkr Gd Attchd 1941.0 \n", "1458 GLQ Rec FuseA NaN Attchd 1950.0 \n", "1459 BLQ LwQ SBrkr NaN Attchd 1965.0 \n", "\n", " GarageFinish GarageQual GarageCond PoolQC Fence MiscFeature \n", "0 RFn TA TA NaN NaN NaN \n", "1 RFn TA TA NaN NaN NaN \n", "2 RFn TA TA NaN NaN NaN \n", "3 Unf TA TA NaN NaN NaN \n", "4 RFn TA TA NaN NaN NaN \n", "... ... ... ... ... ... ... \n", "1455 RFn TA TA NaN NaN NaN \n", "1456 Unf TA TA NaN MnPrv NaN \n", "1457 RFn TA TA NaN GdPrv Shed \n", "1458 Unf TA TA NaN NaN NaN \n", "1459 Fin TA TA NaN NaN NaN \n", "\n", "[1460 rows x 19 columns]" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "train.loc[:, train.isna().any()]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To handle the NaN values, I filled them with either the mean value of a column, 'None', or 0. I determined how to fill NaN values using the data dictionary provided on Kaggle." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "def removena(data):\n", " #LotFrontage: Linear feet of street connected to property. Fill with mean lot frontage in dataset\n", " data['LotFrontage'] = data['LotFrontage'].fillna(np.mean(data['LotFrontage']))\n", "\n", " #Alley: Type of alley access. Fill NaN with None (assume no alley access)\n", " data['Alley'] = data['Alley'].fillna('None')\n", "\n", " #MasVnrType: Masonry veneer type. Fill NaN with None (assume no veneer)\n", " data['MasVnrType'] = data['Alley'].fillna('None')\n", "\n", " #MasVnrArea: Masonry veneer area in square feet. Fill NaN with 0 (assume no veneer)\n", " data['MasVnrArea'] = data['Alley'].fillna(0)\n", "\n", " #BsmtQual: Height of the basement - assume no basement\n", " data['BsmtQual'] = data['BsmtQual'].fillna('None')\n", "\n", " #BsmtCond: General condition of the basement - assume no basement\n", " data['BsmtCond'] = data['BsmtCond'].fillna('None')\n", "\n", " #BsmtExposure: Walkout or garden level basement walls - assume no basement\n", " data['BsmtExposure'] = data['BsmtExposure'].fillna('None')\n", "\n", " #BsmtFinType1: Quality of basement finished area - assume no basement\n", " data['BsmtFinType1'] = data['BsmtFinType1'].fillna('None')\n", "\n", " #BsmtFinType2: Quality of second finished area (if present) - assume no basement\n", " data['BsmtFinType2'] = data['BsmtFinType2'].fillna('None')\n", " \n", " #BsmtFinSF1\n", " data['BsmtFinSF1'] = data['BsmtFinSF1'].fillna(0)\n", " \n", " #BsmtFinSF2\n", " data['BsmtFinSF2'] = data['BsmtFinSF2'].fillna(0)\n", " \n", " #BsmtUnfSF\n", " data['BsmtUnfSF'] = data['BsmtUnfSF'].fillna(0)\n", " \n", " #TotalBsmtSF\n", " data['TotalBsmtSF'] = data['TotalBsmtSF'].fillna(0)\n", " \n", " #BsmtFullBath\n", " data['BsmtFullBath'] = data['BsmtFullBath'].fillna(0)\n", " \n", " #BsmtHalfBath\n", " data['BsmtHalfBath'] = data['BsmtHalfBath'].fillna(0)\n", "\n", " #Electrical: Electrical system - only one house with NaN for this field, set to SBrkr (most common)\n", " data['Electrical'] = data['Electrical'].fillna('SBrkr')\n", "\n", " #FireplaceQu: Fireplace quality - assume no fireplace, set none\n", " data['FireplaceQu'] = data['FireplaceQu'].fillna('None')\n", "\n", " #GarageType: Garage location - set to None, assume no garage \n", " data['GarageType'] = data['GarageType'].fillna('None')\n", "\n", " #GarageYrBlt: Year garage was built - set to None, assume no garage \n", " data['GarageYrBlt'] = data['GarageYrBlt'].fillna('None')\n", "\n", " #GarageFinish: Interior finish of the garage - set to None, assume no garage \n", " data['GarageFinish'] = data['GarageFinish'].fillna('None')\n", "\n", " #GarageQual: Garage quality - set to None, assume no garage \n", " data['GarageQual'] = data['GarageQual'].fillna('None')\n", "\n", " #GarageCond: Garage condition - set to None, assume no garage \n", " data['GarageCond'] = data['GarageCond'].fillna('None')\n", " \n", " #GarageCars\n", " data['GarageCars'] = data['GarageCars'].fillna(0)\n", " \n", " #GarageArea\n", " data['GarageArea'] = data['GarageArea'].fillna(0)\n", "\n", " #PoolQC: Pool quality - set to None, assume no pool\n", " data['PoolQC'] = data['PoolQC'].fillna('None')\n", "\n", " #Fence: Fence quality - set to None, assume no fence\n", " data['Fence'] = data['Fence'].fillna('None')\n", "\n", " #MiscFeature: Miscellaneous feature not covered in other categories, assume no feature\n", " data['MiscFeature'] = data['MiscFeature'].fillna('None')\n", " return data \n", "train = removena(train)\n", "train_copy = removena(train_copy)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Encoding" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Some of the categorical columns must be encoded to be used for regression. The following columns are categorical." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
MSZoningStreetAlleyLotShapeLandContourUtilitiesLotConfigLandSlopeNeighborhoodCondition1...GarageYrBltGarageFinishGarageQualGarageCondPavedDrivePoolQCFenceMiscFeatureSaleTypeSaleCondition
0RLPaveNoneRegLvlAllPubInsideGtlCollgCrNorm...2003RFnTATAYNoneNoneNoneWDNormal
1RLPaveNoneRegLvlAllPubFR2GtlVeenkerFeedr...1976RFnTATAYNoneNoneNoneWDNormal
2RLPaveNoneIR1LvlAllPubInsideGtlCollgCrNorm...2001RFnTATAYNoneNoneNoneWDNormal
3RLPaveNoneIR1LvlAllPubCornerGtlCrawforNorm...1998UnfTATAYNoneNoneNoneWDAbnorml
4RLPaveNoneIR1LvlAllPubFR2GtlNoRidgeNorm...2000RFnTATAYNoneNoneNoneWDNormal
..................................................................
1455RLPaveNoneRegLvlAllPubInsideGtlGilbertNorm...1999RFnTATAYNoneNoneNoneWDNormal
1456RLPaveNoneRegLvlAllPubInsideGtlNWAmesNorm...1978UnfTATAYNoneMnPrvNoneWDNormal
1457RLPaveNoneRegLvlAllPubInsideGtlCrawforNorm...1941RFnTATAYNoneGdPrvShedWDNormal
1458RLPaveNoneRegLvlAllPubInsideGtlNAmesNorm...1950UnfTATAYNoneNoneNoneWDNormal
1459RLPaveNoneRegLvlAllPubInsideGtlEdwardsNorm...1965FinTATAYNoneNoneNoneWDNormal
\n", "

1460 rows × 45 columns

\n", "
" ], "text/plain": [ " MSZoning Street Alley LotShape LandContour Utilities LotConfig LandSlope \\\n", "0 RL Pave None Reg Lvl AllPub Inside Gtl \n", "1 RL Pave None Reg Lvl AllPub FR2 Gtl \n", "2 RL Pave None IR1 Lvl AllPub Inside Gtl \n", "3 RL Pave None IR1 Lvl AllPub Corner Gtl \n", "4 RL Pave None IR1 Lvl AllPub FR2 Gtl \n", "... ... ... ... ... ... ... ... ... \n", "1455 RL Pave None Reg Lvl AllPub Inside Gtl \n", "1456 RL Pave None Reg Lvl AllPub Inside Gtl \n", "1457 RL Pave None Reg Lvl AllPub Inside Gtl \n", "1458 RL Pave None Reg Lvl AllPub Inside Gtl \n", "1459 RL Pave None Reg Lvl AllPub Inside Gtl \n", "\n", " Neighborhood Condition1 ... GarageYrBlt GarageFinish GarageQual \\\n", "0 CollgCr Norm ... 2003 RFn TA \n", "1 Veenker Feedr ... 1976 RFn TA \n", "2 CollgCr Norm ... 2001 RFn TA \n", "3 Crawfor Norm ... 1998 Unf TA \n", "4 NoRidge Norm ... 2000 RFn TA \n", "... ... ... ... ... ... ... \n", "1455 Gilbert Norm ... 1999 RFn TA \n", "1456 NWAmes Norm ... 1978 Unf TA \n", "1457 Crawfor Norm ... 1941 RFn TA \n", "1458 NAmes Norm ... 1950 Unf TA \n", "1459 Edwards Norm ... 1965 Fin TA \n", "\n", " GarageCond PavedDrive PoolQC Fence MiscFeature SaleType SaleCondition \n", "0 TA Y None None None WD Normal \n", "1 TA Y None None None WD Normal \n", "2 TA Y None None None WD Normal \n", "3 TA Y None None None WD Abnorml \n", "4 TA Y None None None WD Normal \n", "... ... ... ... ... ... ... ... \n", "1455 TA Y None None None WD Normal \n", "1456 TA Y None MnPrv None WD Normal \n", "1457 TA Y None GdPrv Shed WD Normal \n", "1458 TA Y None None None WD Normal \n", "1459 TA Y None None None WD Normal \n", "\n", "[1460 rows x 45 columns]" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "train.select_dtypes(include = ['object'])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Instead of using one hot encoder or label encoder, I created a custom dictionary for encoding. The dictionary for mapping categorical values to integers was created by sorting values in descending mean values." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "def encode_train():\n", " # integer encode\n", " label_encoder = LabelEncoder()\n", " for col in train.select_dtypes(include = ['object']):\n", " \n", " #label_encoder.fit(list(code))\n", " #data[col] = label_encoder.transform(data[col].astype(str))\n", " \n", " #instead of using label encoder, which codes strings alphabetically or one hot encoder, I made a custom dict\n", " di = (train[[col, 'SalePrice']]\n", " .groupby(col)\n", " .mean()\n", " .sort_values('SalePrice')\n", " .reset_index()\n", " .reset_index()[col]\n", " .to_dict(into=OrderedDict))\n", " di = {v: k for k, v in di.items()}\n", " train[col] = train[col].map(di)\n", " return train\n", "\n", "def encode_test():\n", " # integer encode\n", " label_encoder = LabelEncoder()\n", " for col in test.select_dtypes(include = ['object']):\n", " di = (train_copy[[col, 'SalePrice']]\n", " .groupby(col)\n", " .mean()\n", " .sort_values('SalePrice')\n", " .reset_index()\n", " .reset_index()[col]\n", " .to_dict(into=OrderedDict))\n", " di = {v: k for k, v in di.items()}\n", " test[col] = test[col].map(di)\n", " return test\n", " \n", "train = encode_train()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Visualize Features " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The following charts show a visualization of a scatter plot of all the features and Sales Price, as well as a histogram of feature value distributions. I attemped to implement log and exp transformations on some variables, however this increased the RMSE." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAABI0AAAY0CAYAAABkkv2gAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nOzde5wcVZn/8c+TyYATwAw3lUyAIGIQDBKIgKK7iK5BUBhBVxAVvOF1V8VfNFFcguKCxkXc9ba6ICLIHccgaEQQXVEuYQNmI2QN12QSIBAmIgQJk+f3xzmd1PR09XT39KWq+/t+veY13aeqq6qrnj516tSpc8zdERERERERERERSZrQ6g0QEREREREREZHsUaWRiIiIiIiIiIiMokojEREREREREREZRZVGIiIiIiIiIiIyiiqNRERERERERERkFFUaiYiIiIiIiIjIKKo0ygkzczN7Sas+L/lhZg+Y2RsqnFdx0eHM7K1mttLM/mpmM+u87PlmdlE9lyliZoeZ2apWb4c0R7XH28y+a2ZfaOQ2yUh5KUuY2bS4rRNbvS0i0loqS1RHlUYVihfiz5rZTkXpd8YT0DQzm2pmV5nZY2a23syWmtnJiXnfb2b3mNmTZvaImV1rZtvVaft2MbPzzGxNXP49ZnaGmW1Tj+VLfVRToVOn9fWa2flm9nCMi/8zs882a/1SPzF2NsTKnYfN7AIz27YOi/4a8HF339bdl5jZa8zs9zEPW2dmN5vZK+M2nGxmv6vDOqVBiuLkiXie2bXO6yhZGWhms83stzGvWWtmvzGzo+u5bmkcM3unmS2OsbPGzH5uZq8Z5zIbVnFsZjfFGN86me7uH3b3LzVine2kGXlFq8SLQTezz9R5ubuY2ffNbHXcb/fFc/He9VxPOzCz483sVjN7ysweja8/ambW6m0rZmYHmdl1ZjYUyz23mdl7W71dMlJRnvWImf2gTuXg4vWUPLd0OlUaVed+4ITCGzObAfQkpv8IWAnsDuwIvAd4JM7798C/Aie4+3bAy4DL67FRZrYD8Ie4La+Ky/8HoBfYsx7rkNz6OrAtId4mA0cD97Z0i2Q83uLu2wL7AzOBeXVY5u7AMgAzez7wM+A/gB2APuAM4G91WI80TyFOdiGcg/6j0Ss0s7cBVwAXAlOBFwL/Aryl0euW8TOzU4FzCeWUFwK7Ad8Gjmnwes3Mqi6Lmtk04LWAE85rlX5OLUxGanheYWZd9V5mBU4C1sX/dWFmOwK/ByYRYm874ADgN4Qyd6nPdGS8mdmngW8AC4AXEfKUDwOHAltVuayG7kMzexVwI+E4voRw/fYR4E01LKum/EyqUsizDgBeCZxWz4VXc25pUd7WOu6uvwr+gAcIgXl7Iu1rwOcJgTUN+Cuwf8rn/x8wUGb5NwEfSLw/Gfhd4r0D/wzcBzxGyIgnxGlnAksL71OW78BL4uujgCXAXwiVXPMT8z0PuAh4HBgCbgdemNim+4AnCRVoJ7b6uOTtL8bRG4rStidcqK8FnoivpxbFxpeAm+O+/yWwU2L6u4EH4zH7fHIdwP8C/RXGxWTCBd/auLzTEjF2clz/fwDrgXuA1yeWMxk4D1gDDMaY7Gr1/m6nv+LYAb4KXFvBsZsQ3z8IPBrnmwxsHfMsB54iVCbOAoZS1v8y4BlgOH5uiHDCfgSYmJjvOODO+Ho+cFFi2iGEQvcQcBdwWKv3a7v9lYiTI4H/S7z+U8xHBoH/F9MPA1YBn4kxsgboL3yWcPH1uTjvEcCzwMYYB3cBBjwEzCmzXSXjME6bFuPwpLicx4DPJz7bA1xAyB//BMwBVrV6X7fLX8wP/gq8vcyxmxvziMcJN7x2GOvYlYqVmH4T8GXCOWUD4ULtvcDdMTbvAz6UWP9hxcebUCF5M3AO8LOiaRcAZxbF9meBh4EftXp/Z+VvjLxia0IZ9yFCHv9doCcx75yYT6wG3sfIssQFwHeA6wjnljdQwzmqKL7eSyivPkGofHgl8EfCueSbRd9rUoyj42P8zUpMKyzvlLjta4BPx2lTYjzukJh/ZozpbkK55i7Kl7ULy39/3He/bfVxbkFcTY7H/bgy85S7Dim5Dwk3JR4mlEF/C+yb+MyOwDVxebfHY5W8htobuJ5wLlsO/GNi2u+Ab5XZ1krK6MX52cnoeqkRsfUAI/OsBfF4TAEWxuO7AvhgYp6tCTdEVse/c4Gt47TDqP7cUpy3peaVY8VO3v5avgF5+SsEasxsXgZ0saVVUaHS6Fcx0I4Hdiv6/GtjZnIGoaZ966LpNzF2pdGvCXf/dyMU5D8Qp90CnDHG9idP6IcBMwgn6v1ikPfHaR8iZLyT4nc8EHg+sA0hM54e59uFRIatv+riqChtR8KF9iTCnasrSFQwxti4F3gp4eLpJuDsOG0fQmH872LGdQ7wHFsqjf6L0IrkvcBeY8TFhcBP4zZMizH2/kQ8Pgd8ilB4egfhxF24cBgA/jPGyQuA20gU+vVX39ghtORYCnyjgmP3PsJJ9MWEVmdXk7hwKoqB5xMuCn9IuMu2fdE2nEwiX4ppfwLelHj/E7YUwucTK40IrZYeJ1yYTCDcmX0c2LnV+7ad/oriZFI8lhfG92uA18bX2wMHxNeHxd/3v8Tf9wcJhZwfx5jal1Bh+OLi4xrf7x3jaI8y25Uah2y5SPg+IY97BaF128vi9LOB/yac/3YlVIar0qh+MXNEPP4TU6Z/klDOmEo4z/wncEmFx25ErMS0mwgF7H2BiTHmjiK0jDbg74Gni+KzuGC/AvgooYyykXhzK067gJGVRs8BX4nb3jOefdVOf2PkFecSLsJ2iHnANcBZiXh5BHg54Zz/Y0ZXGq0nlHUnEG5G1nSOSsTXd+Ny3kjIiwYIZY0+QkXT3ye+17sJeV1X3O5/T0wrLO+SuO0zCHldYT/cyMgLzgXAd+PrW0hUbqTs08LyL4zL77h4Y4z8JM5zGOnXISX3YYyT7dhSCXBnYnmXxr9JhHLxSmJZJS5jJaEcPJHQQuUxQv4ziXAj7HVltrWSMnoyP5uMrpcaFVsPJH6ruxKub75EaCX27ZhH7B9/06+P830x/nZfAOxMuHH5pUQcVntuKc7byuWVZWMnb38t34C8/LGl0ug04KyYKV4fM4hCpdH2hMLtspgJ3Qm8MrGMN8VgGiJc6J9DbI1BZZVGRyTefxS4Ib7+M/DhMbZ/8wm9xLRzga/H1++LP6j9iubZJm73cXTgSbDecTTGPPsDTyTe3wScVnTsfxFf/wtwadFxejaRqfYAnwPuiJnfCkZe4DvhrkgXoaC/T2Lah4CbEvG4GrDE9NsIhbMXxs8m70KeAPy61fu7nf5i7PyVcOfKgRsIj6COdexuAD6amDY9xsLEZAwkpr+McGJcRSj4LWRka8PiSqPPAhfH1zsQLvZ2ie/ns6XS6LMU3eUHFgEntXrfttNfIk6G4vFbDcyI0x6KsfH8os8cRripUTgfbRfj4uDEPHewpVC/+bjG94fG+Z9XZrtS45AtFwnJu7e3AcfH1/cx8vx3Cqo0qmfMnAg8XGb63YxsWbpLFcduRKzEtJuAL46xTQPAJxLxuSox7TVx/TvF9/cAn0pMv4CRlUbPlovNTv1LyysIFXdPAXsm5n0VcH98fT7xxlV8/1JGVxpdmJhe8zkqEV99iemPA+9IvL8K+GTi/a+Ac+PrEwgXkN3xfWF5eyfm/ypwXnz9AeDG+NoIlQ1/F9+vIFHWJjy6MkRsAV60/Be3+vi2MK7eRVF+wpYWxhsK+7NoevI6ZMx9SCj7OKGCpivGy/TE9M0tjQg3Of+76PP/CZxOqHQcEQ8VfL9SZfQvJt7reqlxsfUAW/KsBwkVRbsSrrm3S8x3FnBBfH0vcGRi2mzggfj6MKo/tyTztrJ55Vixk7c/PXdZvR8B7yRcPF2YnODuT7j7XHffl3AhfScwUOj0zd1/7u5vIVxYHROX8YEq1r0y8fpBQnM8CCfQXSpdiJkdbGa/jh2Vric09S108P0jwoXcpbGjv6+aWbe7P0XIeD8MrIkdJqrjvzows0lm9p9m9qCZ/YXQ7La36FnZhxOvnybcjYMQA5vjIh6nxxPvN7j7v7r7gYQa78uBK2I/WEk7EZ4zfzCR9iDhhFow6DHXS0yfQmht102IiyEzGyKckF9Q2R6QKvR76LPsMELrjp0Y+9hNKTFtIiGPGsXd73b3k919KuFO8hRCgS7NRcBbYmeE/0gonK0pMd/uwNsLMRLj5DVUkXdJxfrdvZdwR/bjwG/M7EWEQuyRwIOxk+pXJT7zuLsPx9cb4v9HEtM3sCXfKVbIc8ody0risKJ8rmg5Mn6PAzuV6Ttkd+Anid/t3YRCeiXHLk3yeGJmbzKzW2IntEOEON2p9Ec5iXCR/lh8/2PK912z1t2fGWN7OtWovIJwETYJuCNxzH9BuEsPlf0ek9PrcY4qzotK5k2xI+/XARfHaT8ltAY4qsz2JcvTVwKvMrMphBbcTmjlCEVlbXdfGPfdpxjdT89KOteo/MTdXx331ePAhDGuQwo270Mz6zKzs83s3lhOfiBO2okQlxMZuc+Tr3cHDi4qe5xI6GvpCWATZc5dFZbRi8vhul5qnH5373X33d39o4Tf7jp3fzIxz1j5yxRKq+TckoytnSmTV1YYO7mhSqMqufuDhOdTjyQ0oU2b7zHCM45TCJVEyWmb3P0GQjPYl8fkpwiBV/CiEotNjmqxG+GuEIS7Km+tovO1HxNaD+zq7pMJzX4LFVsb3f0Md98HeDXwZkKH3rj7Inf/B0Lmeg+hObqM36cJd9YOdvfnEwoqEI/JGNaQiAszm0SoHBrF3f9C6OR0G2CPosmPEWrXd0+k7Ubo96Sgr2jUi0IMriTcRdwpZuS97v78WHkqDeDuvyHc8fgaYx+71SWmPcfIQnfaeu6J6ynkU15inkFCR/xvJbQ8+1HK4lYSWhr1Jv62cfezx9oOqY27D7v71YQL/Ne4++3ufgyhQneA2gdjKI6D5YTje1yZz9QchxTlc/GzUj9/IDzy058yfSWhhWryt/u8+Nsfy6g8ozg9jlBzFSE/e2G8uLyOEudAM+shVE7/vYVRJB8mXLS/wsxeUeU2SFSUVxxCqIjZN3G8J3vofBYq+z0m93nDzlElvJtwbXNNjI37CJVG7ymar2R52t2HCP1G/iPhBvEliZtlNwD9FZa1Oznm/kAoE5brRD/1OiQhuQ/fGZdX6B9rWkw3Qkuy5wiPzxYkj+9K4DdF+de27v4Rd386bm+5c1clZfQRx1vXS021GtjBRo5GPlb+spoiVZxbivO2cnnleK7vMkeVRrV5P3B4rE3ezMy+YmYvN7OJMXg/Aqxw98fN7BgLw09uH3vXP4jw3P4t8eN3AsfGWsmXxHUUmxM/vyvwCeCymH4OoS+SH5rZ7nFb+szsHDPbr8RytiPUyj4Tt+Odie/wOjObEWtB/0I40Q+b2QvN7Ggz24ZwMvgroXAh1es2s+cV/giPNW4AhmILoNOrWNaVwJstDJO+FeHZ3c2/azP7gpm90sy2iuv6BKFZ5/LkQmILg8uBL5vZdjGOTiW0Iil4AfDPZtZtZm8nPMZ0XWxV8kvg38zs+WY2wcz2tDBioDTOuYR+gWZQ/thdAnzKzPaIrYH+FbjM3Z8rXqCZ7W1mnzazqfH9roTm/YV86hFgaoy1pAsJnSjPIPRpVEqhRdLseNfweRaGRZ6aMr+MUzzXHEPIY/5sZiea2WR330jI32vNwx8BphUunuJF1anAF8zsvYl84DVm9r34mYrjsITLgXnx/DcV+Kcat1tKcPf1hEedv2Vm/bEc0m2h9c9XCRd0X06UL3aOcVWJEbGSYitCS5e1wHNm9iZC3zWl9BPidh9CU//9Ceei/2Z0xYBUqCivWEa4yP26mb0gTu8zs9lx9suBk81sn3ijqmyZpYLyxXjyhmLvIfQdun/i7zjgKAujnxV8Icb5voS+bi5LTPtxXM5x8XXBOYT986NYxrFY1t+/hu1sW7Hi7Qzg22b2NjPbNp4P9ifctIQy1yEptiNcezxOuMH+r4n1DRNu4s+Px3RvRuYFPwNeambvjvladywXvyxO/wwhnucUYsTMXmFmlybWXXEZXddLzeXuKwmPP54Vy5X7Ea6hC60NLwFOi+etnQjnuotKLKrqc4u7b6J8XllV7GSdKo1q4O73uvviEpMmES6Yhgh3N3Zny3B9TxA6F/0zobB+EbDA3QtB/XXCc/ePEDojvJjRfkroV+JO4FrCaFW4+zpCq6CNwK1m9iThjsh6wjPYxT4KfDHO9y+MvNv8IkJFxF8ITdB/E7d1AqHGdDWhd/q/j8uR6l1HyEQKf72EvoceI1yc/6LSBbn7MuBjhILNGkKcrUrOAvwgLns1oZLhKHf/a4nF/ROhxdt9hNEkfkzou6DgVmCvuKwvA29z98JjKe8hFPz/FLfhSvTYUUO5+1pCZc0XKH/szie0/vktoZXkM6RfdD8JHEzIR54ixOP/En77EFpHLgMeNrPHEp/7CfERluLK9MT2riTcKfwc4eJwJWEEHp2H6u8aM/srIR//MqF59d2Eu/APWGgm/WFC3xO1uCL+f9zM/gfA3a8kNMl/HyGveYTQr8RP47zVxGGxMwhNyu8nVFCntWaTGrn7OYQL+dPY8vv8OKFF2jcIrQJ+GcsNtxDyiUqMipUS636SMDrs5YTzxzvj+ko5CfiBuz/k7g8X/oBvAidahw5xPg6j8opYrvgsofx4S8wvfkW4Y467/5xw0+LGOM+NFaynXueoVGZ2CKEFyreSseHuC+N2npCY/Tcx7Qbga+7+y8S0hYSyziPuflchMT5BcEjcvt8Rzpd3Ei4MP1Lt9rYzd/8qIT8pjMj5CKHbgs8SLvDLXYeUciHhHDBIKGfeUjT944QWSA8TYukSQoVNIX95I2GQotVxnkLH+Lj774HD4999ZrYO+B6hrA4h1qspo+t6qflOIPz2VxPKo6e7+/Vx2pnAYsJoi0uB/4lpxWo9t6TmlVQfO5lm7p3cglJEKmFmJxM6an9Nq7dFssnM7iWMmPerVm+LiIiIdCYz+wrwIncv19eZiFRBd3hFRGRczOw4Qqu2Su44i4iIiNRFfLR+v/jI4EGEx5PSHpUXkRqoGa+IiNTMzG4iPAP+7vh8t4iIiEizbEd4JG0K4XG4f2PLo9EiUgd6PE1EREREREREREap6PE0M/uUmS0zs/81s0ti7+R7mNmtZvZnM7usMJqOmW0d36+I06clljMvpi9P9CyOmR0R01aY2dxEesl1iIiIiIiIiIhIY43Z0sjM+gijBOzj7hvM7HJCj/JHAle7+6Vm9l3gLnf/jpl9FNjP3T9sZscDb3X3d5jZPoSmgwcRmg/+CnhpXM3/EUZ1WgXcDpzg7n+K6xq1jnLbu9NOO/m0adNq2ReSIXfcccdj7r5zM9almGkPzYoZxUv7UMxINXRekmopZqRaOi9JtRQzUo1a46XSPo0mAj1mtpEwrPwawtCE74zTfwjMB75DGFJ5fky/EvimmVlMv9Td/wbcb2YrCBVIACvc/T4AM7sUOMbM7i6zjlTTpk1j8eLFFX4tySoze7BZ61LMtIdmxYzipX0oZqQaOi9JtRQzUi2dl6RaihmpRq3xMubjae4+CHwNeIhQWbQeuAMYcvfn4myrgL74ug9YGT/7XJx/x2R60WfS0ncss44RzOwUM1tsZovXrl071lcSUcxIVRQvUi3FjFRLMSPVUsxINRQvUi3FjBSMWWlkZtsTWgntQXisbBvgTSVmLTznZinT6pU+OtH9e+4+y91n7bxzU1oBS84pZqQaiheplmJGqqWYkWopZqQaiheplmJGCirpCPsNwP3uvtbdNwJXA68Ges2s8HjbVGB1fL0K2BUgTp8MrEumF30mLf2xMusQEREREREREZEGqqTS6CHgEDObFPsmej3wJ+DXwNviPCcBP42vF8b3xOk3euhteyFwfBxdbQ9gL+A2QsfXe8WR0rYCjgcWxs+krUNERERERERERBpozI6w3f1WM7sS+B/gOWAJ8D3gWuBSMzszpp0XP3Ie8KPY0fU6QiUQ7r4sjob2p7icj7n7MICZfRxYBHQB57v7srisz6asIxMGlgyyYNFyVg9tYEpvD3NmT6d/ZslulyRHdFyl1RSDIiPpNyFZonhsLu1vyaJOjstO/u6dqqLR09z9dOD0ouT72DL6WXLeZ4C3pyzny8CXS6RfB1xXIr3kOrJgYMkg865eyoaNwwAMDm1g3tVLAfSjyTEdV2k1xaDISPpNSJYoHptL+1uyqJPjspO/eyer5PE0KWHBouWbfywFGzYOs2DR8hZtkdSDjqu0WqfG4MCSQQ49+0b2mHsth559IwNLBlu9SZIRnfqbkGxSPDaX9rdkUSfHZSd/9/HKc1m3opZGMtrg0Iaq0iUfdFyl1VanxFpaejvQXSspR/myZInisbm0vyWLOjkuO7GcWg95L+uqpVGNusyqSpd80HGVVpvS21NVejvQXSspR/myZInisbm0vyWLOjkuO7GcWg95L+uq0qhGw+5VpUs+6LhKq82ZPZ2e7q4RaT3dXcyZPb1FW9R4umsl5ShflixRPDaX9rdkUSfHZSeWU+sh72VdVRrVqC+lNjUtXfJBx1VarX9mH2cdO4O+3h6MEHtnHTsjF01Xa6W7VlKO8mXJEsVjc2l/SxZ1clx2Yjm1HvJe1lWlUY1Uy9qedFwlC/pn9nHz3MO5/+yjuHnu4W1/ItbvTspRfEiWKB6bS/tbsqjT47LTyqn1kPeYUUfYNSr8OBYsWs7qoQ1M6e1hzuzp+tHknI6rSPPpdyflKD4kSxSPzaX9LVmkuJRq5T1mVGk0Dv0z+3JzoKVyOq4izaffnZSj+JAsUTw2l/a3ZJHiUqqV55jR42kiIiIiIiIiIjKKKo1ERERERERERGQUVRqJiIiIiIiIiMgoqjQSEREREREREZFRVGkkIiIiIiIiIiKjqNJIRERERERERERGUaWRiIiIiIiIiIiMokojEREREREREREZRZVGIiIiIiIiIiIyiiqNRERERERERERklImt3oA8G1gyyIJFy1k9tIEpvT3MmT2d/pl9rd4sGScdV5Hm0+9OylF8SJYoHptL+1uyqJPjspO/e6dSpVGNBpYMMu/qpWzYOAzA4NAG5l29FEA/mhzTcRVpPv3upBzFh2SJ4rG5tL8lizo5Ljv5u3eytn48bWDJIIeefSN7zL2WQ8++kYElg3Vb9oJFyzf/WAo2bBxmwaLldVuHNJ+Oq0jz6Xcn5Sg+JEsUj1s0spxdoP0tWdTJcdnJ372TVVRpZGa9Znalmd1jZneb2avMbAczu97M/hz/bx/nNTP7dzNbYWZ/NLMDEss5Kc7/ZzM7KZF+oJktjZ/5dzOzmF5yHZUo1IIODm3A2VILWq8T2uqhDVWlSz4Mphy/tHQRGT/97qQcxYdkieIxaHQ5u0DlbcmiTs4HOvm7d7JKWxp9A/iFu+8NvAK4G5gL3ODuewE3xPcAbwL2in+nAN+BUAEEnA4cDBwEnJ6oBPpOnLfwuSNieto6xtToWtApvT1VpUs+dIX6yorTRWT89LuTchQfkiWKx6BZrQ1U3pYs6uR8oJO/eycbs9LIzJ4P/B1wHoC7P+vuQ8AxwA/jbD8E+uPrY4ALPbgF6DWzXYDZwPXuvs7dnwCuB46I057v7n9wdwcuLFpWqXWMqdF3JubMnk5Pd9eItJ7uLubMnl6X5UtrDLtXlS4i46ffnZSj+JAsUTwGzWoBpPK2ZFEn5wOd/N07WSUtjV4MrAV+YGZLzOy/zGwb4IXuvgYg/n9BnL8PWJn4/KqYVi59VYl0yqxjBDM7xcwWm9nitWvXAo2/M9E/s4/jDuzbXKvaZcZxB/apA7CcKBUzAH0p8ZGWLp0hLV6kPtrxd6eYqZ92jI9SFDP5kKV4bGXMNKsFkMrb9aM8pn6ylA80UqmY6ZTvLiNVUmk0ETgA+I67zwSeovxjYqXapnkN6RVz9++5+yx3n7XzzjsDjb8zMbBkkKvuGNxcqzrszlV3DDakE0Cpv1IxA/C6vXcuOX9aunSGtHiR+mjH351ipn7aMT5KUczkQ5bisZUx06wWQCpv14/ymPrJUj7QSKViplO+u4xUSaXRKmCVu98a319JqER6JD5aRvz/aGL+XROfnwqsHiN9aol0yqxjTP0z+zjr2Bn09fZghNrPs46dUbc7E+o5vj39+p7Sd17S0kVk/PS7k3IUH5Iliseg0eXsApW3JYs6OR/o5O/eySaONYO7P2xmK81sursvB14P/Cn+nQScHf//NH5kIfBxM7uU0On1endfY2aLgH9NdH79RmCeu68zsyfN7BDgVuA9wH8kllVqHRXpn9m45qsazaE96biKNJ9+d1KO4kOyRPG4RSPL2QXa35JFnRyXnfzdO9mYlUbRPwEXm9lWwH3AewmtlC43s/cDDwFvj/NeBxwJrACejvMSK4e+BNwe5/uiu6+Lrz8CXAD0AD+PfxAqi0qtoyIDSwZZsGg5q4c2MKW3hzmzp9ft5Dalt6fk0IIazSHfdFxFmk+/OylH8SFZonjcopHl7ALtb8miTo7LTv7unayiSiN3vxOYVWLS60vM68DHUpZzPnB+ifTFwMtLpD9eah2VGFgyyLyrl25u0jo4tIF5Vy8FqMsJ7XV778xFtzxUMl3ya9qOpTPCaTsqIxRpFP3upBzFh2SJ4jFodDm7QOVtyaJOzgc6+bt3skr6NMqlRj8Drec529Mt9z1RVbqIjJ9+d1KO4kOyRPEYNKuvIZW3JYs6OR/o5O/eySp9PC13Gv28pZ7nbE+F0TkqTc+6ZjQdFxmvdvvdSX0pPiRLFI9Bs8rBKm9LFnVyPtDJ372TtW1Lo7TnKuv1vGXvpO6q0iUfusyqSs+yQtPxwaENOFuajmuYWsmatJ9XDn920gCKD8kSxWPQ6HJ2gcrbkkWdnA908nfvZG1baTRn9nR6urtGpPV0dzFn9vS6LD+tMlWVrPl2wsG7VpWeZRqmVvKiZ2LpU1FaunQWxYdkieIxaHQ5u0DlbcmiTs4HOvm7d7K2fTyt8AhOox7NWb9hY1Xpkg9n9s8A4JJbVxDuH3UAACAASURBVDLsTpcZJxy86+b0PFGTbsmLDRs3VZUunUXxIVmieAwaXc4uUHlbsqiT84FO/u6drG0rjSCc0BrVf4uGG2xfZ/bPyGUlUTHFqOSFYlXKUXxIliget2hkObtA+1uyqJPjspO/eydr63ZkA0sGOfTsG9lj7rUcevaNde3LpVnNcqX5Ghk3zaQYlbyYM3s63V0jH4bv7jLFqgCKD8mWdo3HrJZ9VJaRLGrXfKASnfzdO1nbtjQqdAJc6NOl0AkwUJe7Is1qlivN1ei4aSbFqORKcf8U6q9CkhQfkiVtFo9ZLvuoLCOZ1Wb5QFU6+bt3qLatNCrXCXC9TjTNaJYrzdWMuGkmxajkwYJFy9m4aWSJY+Mmz+3vTupL8SFZ0o7xmPWyj8oykjXtmA9UqpO/eydr20qjZnQCPLBkUHc+2ow6jxZpPv3upBzFh2RJO8Zj1r+TytuSNVn/zTRSJ3/3Tta2lUaN7qSrmqa8Otnlx+SeboZKjMgxuae7BVsjnarT8gz97qQcxYdkSTvGY5Y7th1YMsicK+9i43Bo2TA4tIE5V94FtP7ROelc7ZgPVKqTv3sna9uOsOfMnk73hKJOuibUr5Ouck15kwqVS4NDG3C2VC5lpYNBGWnjcOnhItPSReqtE/MMs+rSpbMoX5Ysacd4rLWz6WZ0nn3GNcs2VxgVbBx2zrhmWd3XJVKpdswHKtXJ372TtW2lEUBx6NYzlCttmldp5ZJkw1PPDleVLlJvnZhnPPH06DtW5dKlszQrX87q6FGSLe1YTuif2cdZx86gr7cHA/p6ezjr2BllW/IUWgAlb3DMufKuuv9udH6QLGrHfKBSnfzdO1nbPp52xjXLGC7qpGt4U7gzUY/mrJU25dVznyJSjVL5Srn0dtBlxrCPHnqjS02NpEmyPHqUSDNU29l0uRZA+s2IiLSXtm1p1Og7E3NmT6er6PG3rhKPv6U9D56F58RFJHvSKkrauQKlVIVRuXSReuvEFn4i41FrOfu0gaXsOe86ps29lj3nXcdpA0vLzt+b0k9KWrqIiNRf21YaNdriB9eVbMm0+MF1I9JqfU5cRDpTJ1agbD+pdOE/LV06y9YTSxdV0tJroVbBIo132sBSLrrloc3ns2F3LrrlobIVR/OP3rdkH6Xzj963odsqIiJbtG2l0aTu0l8tLb1al9y6sqL0Wp4TF5HONSGlQVFaejtIqw9r43oyqcLfnivdI2Faei3UKlikOrWUsystOyf1z+zjHQfturm1bZcZ7zhoV5WjRUSaqG37NNpqYhdPbxxdoNxqYleJuatXTWuAap8TF5HOtSmloiQtvR2UGrq1XLpIvc2ZPX1En0agVsEi5dRSzq6lJe3AkkEuu23liNZJl922klm776CytaQaWDLIgkXLWT20gSm9PcyZPV3xIjIObVtppIsQERERqUThYkIXGdKpqr3IXp9Snk5Lr9X8hcvYWHTXZOMmZ/5CdbgtpWlgA5H6a9tKIwNK3bdo4yc8REREpEZqFSydqpaL7EpHER4v3QSWapUb2EB5vEht2rZPo7SGrrU84TGwZJBDz76RPeZey6Fn38jAksHxbJqIiIiISCbUMnqgBnqRrNLABiL1V3GlkZl1mdkSM/tZfL+Hmd1qZn82s8vMbKuYvnV8vyJOn5ZYxryYvtzMZifSj4hpK8xsbiK95DqaqXD3ZXBoA87Iuy8iIiLSHnSDSDpVLRfZtQz0ktbaX08BSD1pYAOR+qumpdEngLsT778CfN3d9wKeAN4f098PPOHuLwG+HufDzPYBjgf2BY4Avh0rorqAbwFvAvYBTojzlltH06TdfREREZH2kHaDSBVH0gmadZFdz6cARNKoFZxI/VVUaWRmU4GjgP+K7w04HLgyzvJDoD++Pia+J05/fZz/GOBSd/+bu98PrAAOin8r3P0+d38WuBQ4Zox1NE3emjLqTqkkKR5ERMZWy+M5Iu3idXvvXFU6hPLFp6+4a0RF66evuEvlDGm5/pl9HLDb5BFpB+w2Wf0ZiYxDpS2NzgU+AxTG1twRGHL35+L7VUDhl9gHrASI09fH+TenF30mLb3cOkYws1PMbLGZLV67dm2FX6kyeWrKqDullWtkzGTFwJJB5hQV6OaoQFeTTogXqS/FTL5koQ8MxYxUKy1mqr1h9Ot7SsdbWjrA53+ylOGiUc2GNzmf/4m6cMiqTsljThtYys33rhuRdvO96zhtQLFZrU6JGRnbmJVGZvZm4FF3vyOZXGJWH2NavdJHJ7p/z91nufusnXdOvytSi3J3WbJGd0or18iYyYpyw9TmTatbTHVCvEh9KWbyJQt9YChmpFqlYqaWG4i1VJo+9WzprhrS0qX1OiWPueTWlVWlS7pOiRkZWyUtjQ4FjjazBwiPjh1OaHnUa2YT4zxTgdXx9SpgV4A4fTKwLple9Jm09MfKrKNpyt1lyZos3CmV7GiXYWrVgk5EGk19YEi7qOUGYhYqTdOo82yp1rCX7iUrLV1ExjZmpZG7z3P3qe4+jdCR9Y3ufiLwa+BtcbaTgJ/G1wvje+L0G93dY/rxcXS1PYC9gNuA24G94khpW8V1LIyfSVtH0+SpwmVyT3dV6SJ5oBZ0ItJo/TP7OO7AProsXIp2mXHcgX3qA0Nyp5YbiLX0adQs6jxbRKT1qhk9rdhngVPNbAWh/6HzYvp5wI4x/VRgLoC7LwMuB/4E/AL4mLsPxz6LPg4sIozOdnmct9w6mqbauyyFOx+teJzGUm67pKVLe9t+UunKwrT0rFILOhFptIElg1x1x+DmO9HD7lx1x6BaNEru1NJqqJY+jZpFZVsRkdarqtLI3W9y9zfH1/e5+0Hu/hJ3f7u7/y2mPxPfvyROvy/x+S+7+57uPt3df55Iv87dXxqnfTmRXnIdzZTWZL0r5WS11cQJLXucZujplMeRUtKlvR213y5VpWdVlpvNi0h7UItGaRe1PGqZ5ZszaRcq47nrLe2tN+UJi7R0ERmb8twx9M/s46xjZ9DX24MBfb09nHXsDIZT2sX+7blNZQufjWyBpItrScryncNqqK8REWm0LF80i1Qjrdxa7lHLLJcf08rbaekiap0mUn8Tx55F+meO7tfgk5fdmTp/WiGz0OKoUKFUeF9Yx3jNmT19xPJBF9edrF0uggq/jQWLlrN6aANTenuYM3u6+hoRkbrpndTNEyVa5fbm7HFeEShdbi2nlvLj1hMn8LfnNpVMF2mlUnl5uXQRGZsqjRpgSm8PgyUuzLvMUlsg1eMCuH9mH4sfXMclt65k2F0deXa4yT3dJUdKy2PH6NUWgEVEqpE2qI4G25FOUMvNmWdLVBiVSxcRkfzS7YAGKPU4jZE+1GO9Wn4MLBnkkttWjujI85LbVqojzw717HPDVaWLiHSq9SUq2Muli3S6rI/Y24oBaURE2pVaGlVgYMngqLsv5RS3+IHyQ4PW65nxz/9kKcObRq5peJPz+Z8sVSuNDvT0xtJ3+9LSRUQ61fO6J7ChRN74vG7dW5P2N7BkkDlX3MXGWIYcHNrAnCvuAtK7T3j62eeqSm+mwoA0jeoOQkSk06g0NIaBJYPMufKuESOhzbnyrjE/kxy6t5x69jn01LOlW5CkpYuIiAg8k1KZnpYu0k7mL1y2ucKoYOMmZ/7CZamfeTalJ+q09GbSaIgiIvWllkZjOOOaZWwsOgEWvy9W6mRVSp869BWpSKnWfvrdiEi9pJ3VW3/5K9J4pfo/LJeedaX6FS2XLiIi5anSaAy19LRfSR9Ffb093Dz38Fo2SaSjqJm5iIiIVKrLrGRr/y6NuS4iUhM9ntYAlfRR9Lq9d677erfZqquqdGlvaYWjvBWa1MxcRESkcbafVLrz6rT0rEvrHqKSbiNERGQ0VRqNobeGUSBKjZ5W7Nf3rK11k1J9+a0zmFBUHzDBQrp0nhMO3rWq9KxKa7lXr1EHRURE2km1I4cdtd8uVaVnXV/Kzdu0dBERKU+VRmN48yuqP2H2z+zjrGNnlD05DQ5tYM9513HawNLxbN4oRf0YjnovnWPW7jtUlZ5VaS336jXqoNRGwxlLO0kbJE2Dp0neFB7pTg7gMu/qpWXz6LQbmY24wdkMpW7e1nPgGRGRLGtEGV3FoTFc+8c1DVv2sDsX3fJQ3SqOPnnZnVWlS3v79OWlj3taelalPcrZiEc8pTJpo0qq4kjy6rmUQdLS0kWyqpZHutut4+jkzVsjtDA669gZ6gcxA3TDSaSxarlxUAl1hJ1QaoSmWjrCHlgyyKevuIvhCpv5XHLrSs7s1yNkUl9pg/xlYDTcqmT9DmgeRnar9zamjSp5xjXLMvXd83Bs8q5d9nFeRk9rl/0tjVPLI93t2HF0/8w+/TYypnDDqVB+KNxwAg1sUo7yfalGuRsH44kbVRpF5UZoqtbnf7K04gojUMd8IuVk+Q5oHkZ2a8Q2plWm11LJ3ih5ODZ5p33cXNrfUonJPd0MbRidF08u00dnO3YcrQvt7MnLDacsUb4v1WpUX7B6PC1Kq5WrxVPPVve5PN/JEWm0LI8Cl4eR3fKwjY3Qqd+7mbSPm0v7WyqRdmosd8rM8nm2FgNLBplzRdEj1FfoEepWy8MNp6xRvp9frXoUs1F9warSKGrlSEx5G81KpJmyfAc0DyO7NWIb0y4jsnR5kYdjk3fax82l/S2VGEq5AE9Lh2yfZ2sxf+EyNha1+N+4yZm/cFmLtkikNsr386lR/QpVolEDAajSKGrVSEwTyNdoVurATppt+0mlm9SnpTdTHkZ2603ZT2nplchD/y95ODZ5p33cXNrfUola4mSbrbqqSs+6Uo/nlUsXySrl+/l0xjXLWtZCrFEDAajSKEqrlWu0TZCbJob1rjVVBZRUIu1GZxZugOZhZLcs779G0pDLjad93Fx5yG+k9Wr5XaZ1q1BtdwsiUl86z+bPwJLB1Ecum9VCrH9mHzfPPZz7zz6Km+ceXpf+r1RpFKXVyjVDXpoY1vO52lY225N8yfIdw6yP7AawPmU/paW3Cw253Hjax82Vh/xGWk+/S5H2od9z/pS7Ls5zCzGNnpZQanjOT152Z8PXm5cAqudztY0aDlDaT5aHAs7Ds+ZTentKjjSXl3xnPDTkcuNpHzdPHvIbyYZO/10apR+Xbn2pQaR6nf57zpty5+Q8txBTS6MWKzQxzMOjWvV8rlaFX6lUljvozMOz5o1o2tzTXfrUkZYuIuPXiP7JRAAmpeTdaelZ9+o9S/cVmpYukmV5uEaULdKuAXp7unNd+Tfm2cDMdjWzX5vZ3Wa2zMw+EdN3MLPrzezP8f/2Md3M7N/NbIWZ/dHMDkgs66Q4/5/N7KRE+oFmtjR+5t/NQhOCtHW0i+QjcHkYGrSe/Snk4WJbsqEvJSbS0pspD32MNKJp81nH7jfq5DEhpktnUWG2eTq1fzJpvGMPnFpVetY98HjpG5Bp6QXNyM+ymmeeNrCUPeddx7S517LnvOs4bWBpqzdJCPGSh2tE2SLtZu38o/dt0RbVRyW3EJ4DPu3uLwMOAT5mZvsAc4Eb3H0v4Ib4HuBNwF7x7xTgOxAqgIDTgYOBg4DTE5VA34nzFj53RExPW0dbWLN+A/Ou/iOfvOzOXAwNWs/+FPJwsS3ZkOVOAPPSx0i9O8Trn9nHOe/Yf0RF1Dnv2D/Xd1DaUaMvTtQ3XXNluX83ybef3bWmqvSsq6U1ezPys6zmmacNLOWiWx7a3IJ72J2LbnlIFUcZMH/hslxcI8oW7doP1Zh9Grn7GmBNfP2kmd0N9AHHAIfF2X4I3AR8NqZf6O4O3GJmvWa2S5z3endfB2Bm1wNHmNlNwPPd/Q8x/UKgH/h5mXVkmllld/42OWzYuCl1etYKgvV8pCwvF9vSeoVMdsGi5awe2sCU3h7mzJ6eicw3L49ZDiwZrPv+y8Mz9o343nlRuDgp9B1XuDgB6rYP1Dddc2W5fzfJt3arkJzc011y2yf3pD/K2Yz8LKt55iW3rkxNP7O/OYMCSWnt9tvsFHkoI1erqoeVzWwaMBO4FXhhrFAqVCy9IM7WByRzn1UxrVz6qhLplFlH8XadYmaLzWzx2rWtr3Ro16bi7dSnUdZiRspb/OA6Hl7/DA48vP4ZFj+4rqnrT4uXPDxm2ag7m1lvyt7qO7qtzmPqOdplmlIdrJdLl/LGipks9+8mrdHqfCarNg6XviGblg7NKZdmteyrvEXSKI/Jhiw81lpxpZGZbQtcBXzS3f9SbtYSaV5DesXc/XvuPsvdZ+28sx5vapR26tNIMZMfWWg2nRYveXjMshGVB1k4JmNpRqVJOa3OY1p9cSLVGytmsty/m7RGq/OZrHrq2eGq0qE55dKsln3TWiuqFWPrbZ8y0EFaer0pj2m9Vt8ELaio0sjMugkVRhe7+9Ux+ZH42Bnx/6MxfRWwa+LjU4HVY6RPLZFebh3SAhfd8lBV6eXMmT2d7gkjT0bdEywT/dRItpRrNt1qeXjMshGtQbJ8TAo6vdKk1RcnUn86b4o0TjP6T8xqH42HvLj0OENp6dI8p79lX7qK8v2uCcbpb8l3p8pSeeuhVt8ELahk9DQDzgPudvdzEpMWAoUR0E4CfppIf08cRe0QYH18tGwR8EYz2z52gP1GYFGc9qSZHRLX9Z6iZZVax7hkoYmXULJjN5FiWW42nYeKiUbcQczyMSno9EqTPLSCk+rpvCkytkndpS9v0tKhOZ3XZrWD3FpHm5PmKDVarWRLtXUL1bQeysq1xpgdYQOHAu8GlprZnTHtc8DZwOVm9n7gIeDtcdp1wJHACuBp4L0A7r7OzL4E3B7n+2KhU2zgI8AFQA+hA+yfx/S0dYzLnCvu2lzQKgxdCPXrHFTG9pkr70pN13GQJKP086pZaDTdO6mbJ54e3Rlhb5OaDVciDxU8jTBn9vQRHUFDNu7oNkseWsFJdXTeFKlMLX0aQXM6r81iB7nqny67FixaXvJmQas7T5ctahl4pJpO8af09pT8LTb7Jmglo6f9jvTrs9eXmN+Bj6Us63zg/BLpi4GXl0h/vNQ6xqvc0IXFI+3I+JUawejZ4dIXrGnp0rkmbdVVsh+CSVt1lZi7udLqXbJUH9OXcrJp935QsjzqXjNk5c6U1I/OmyKVSRuYuMyAxR1NIzNml87l2VfLqIjVHNes3AStpKVRRxjasDG1llBqN7BkkFMvu5PCeXpwaAOnXnZn2c+IJD2d0nFlWnozrU8Z8jQtvRVet/fOJfsdG89jSnmpiMriHd1mycqdKRFpvtMGlnLJrSsZdqfLjBMO3lVDp1fgxO//gZvv3TI666F77sDFH3xVC7eoOTq1RXIe6FyefbVU7FVzXLNyE1SPRSaUqiWU8Zl39R8pvrGjGz1SjbRHvbLwCFge+s1pxGNK6i8n+yZtldKnR0q6iLSHPIxumUXFFUYAN9+7jhO//4cWbZFIdjtPly1quRao9rj2z+zj5rmHc//ZR3Hz3MNbckNUpUdpqA1qCyzj9ExK5W1aejPlofKkEX0VqL+c7Pvzo09VlS4i7SEPo1tmUXGF0VjpIs2Q1c7TZYtaKvbyeFz1eJqIZFpaxWMWKiTzUHnSiL4K1GmmiEg26VEjEZHmqfXxsbx1oaBKI2moCQYaEVjaVR4qT3QBISLSOdSpsUj7qGVkLmm+vFUA1UKPp0lDvfPg3Vq9CZJz26f0XZSW3kxphfAsFc7TOqfOWqfVIiIyficcvGtV6e0o7QycnTOz5N02KSP4pqXXqtzIXCLNpEqjhOLnEWuhE9JIZ/bP4F2H7Lb5IrrLjHcdoookqdxR++1SVXoz5aEVz5zZ0+nuGpkzdXfZuDpRzENlmYhIJ5q1+w5MKMqKJ1hITzOpO6Xj/JT0rEs7A2fnzCx591TKCL5p6bWqZWQukUbI59mgQQodUo3HiS2sEOlKuV5LS2+WM/tncO9ZR/LA2Udx71lHathXqUqW+w1KqyPJXN1JcUl5nCVn3ckWEcmmBYuWj+oWYJNTtmXCsQdOrSpdpNM1qzVbHkbplc6gSqOEwnB2lSrVgqaVFSInpDwKlpbeLKcNLGXPedcxbe617DnvOg37KlXJ8l2WtAZFGWpoxIJFy9lYdAWxcZOPq2lzWgtCVQhLXvX2lH7cNS1dJKtqOWdm+eZMs2T5UXjJnma1ZqtlZC6RRlBH2ONwZv+MTF0kZfGkf9rAUi665aHN74fdR7wXGcuU3p6SHUvrLktlGlXpNmv3Hfj1PWtZPbSBF01+XtlHH0Sybv7R+zLnirtGVLB2TzDmH71vC7dKpHq1nDPzMKhDo53+ln2Zc+VdbBxO5AFdxulvUR4grVPryFwi9aZKo4SBJYNN71isp7trVAdntcpiiwxVEMl4zZk9fcTIEZCduyzbbNVV8vn1eneEOB6NqHTTaB7SblQwl3aR5XNms5iVbvFb7tFx5QGSVZ0wMpdknyqNEopPso3WF09In7zszrosTy0ypB1luSDX3TUBGJ1nhPRsaMQFRLnRPLJwXLKucIMia/Hc6VQwl3aQ5XNms9T66LjyABGR0lRplFCvCqO0OxwFh+65Axd/8FWb39er0kh3lyQpD61g8m79ho1VpbdCIy4gstiqMS8GlgyOeARicGgDc668C1ArLRGpD1V+iIhIPanSqAHKVRg9cPZRo9ImAJtKzFttW4V2uLuUuVGncuzplGE/09KzKsuPQuWldV+9LyDy8r2z6Ixrlo3oMwNg47BzxjXLWh7PIiJZ0z0BNpYoJHeXKST39nQzVOLmjTq2l3rZflI3Tzw9OsbUcbq0q+w8Q9FG+lIunNLSz3nH/lWll1MYAe7+s4/i5rmH1/UipCulQictfaxppbz6xepMt156U05caelZVe5RqFbr1FEtOvV710OpQma5dBGRTrbt80qXWdLSIXRs3z1hZAFUHdtLPZ3+ln3pLrrIUcfp0s5UaZRQfBFUTrm6kDmzp5fMSNIuqPpn9nHuO/anr7cHI1QunfuO/TN31/nf/rF0JVZaerlpaTXxDzyux1vq5ZmUxy3T0rMqy49C9c/s47gD+0YMPX/cge3/WED/zD7OOnbGiDzrrGNntP33zpOulGabaekiIlk0lFKhnpYO4Ry14O2vGHGOWvD2V+gc1SHSznL1PPv1z+xjwduKYuxtijFpX3o8LeGsY2dsfrSrd1I37pRs3gpw4iG7lV9Y8SNqbdD5Xi2Pv6V95lMp/ThloSKgXWwo1Z67THpWZflRqIElg1x1xyDD8ZnUYXeuumOQWbvvkPnf83jlIc/KomY9NjGc8px0WrqISBbVWgbQOapzpZ3l6n32U4xJJ2nbSqMug+Eqc4dSP/6BJYOcevmdbEosa4LBrN3TH6NasGg5GzcV9VmxydtiZKFaMshSn1mwaHlmKwIkW7LcwbtGEauPLrOSlRnt2Cpm/tH7MueKu0acIxrx2IT6WxCRSr1wu6145MlnS6bXk1H6wn2s1vtZLQNINvWlVDSmdRMiImNr28fT6tWWYsGi5RTV/7DJKdufSpYfp8kK9YnSeGnX23m7Ds/yo1D6rdfHCQfvWlV6njXrsYlah5yuxrtSWtympYu0g2r7rcyDx/5aulV9WnqtamkBkuUygGSTrjFE6q9tWxrVq2Bcy0Vhlh+nyYp2GOkt65px0dgsWW0CrN96fZzZPwOAS25dybA7XWaccPCum9PbTTPieX3Ko9Vp6bXotOMmAu3Z8qVZj7PW2gIkq2UAySZdY4jUX9tWGqU97pAm7YRVy0VhOxYoGkGFgMZS89zG02+9fs7sn6HKhjpqVoWmjpt0mna8IK3lEeFaPqNzZmdr5mPTusYQqa/MP55mZkeY2XIzW2Fmcyv9XNpjDYfuuUNVTRZraeKoprT5deiepfuqSkvPMjXPbbxG/Nb3esE2VaWLlNJOv/92ypfHQ3lDdvTP7OPmuYdz/9lHcfPcw3NfvqvlEeFaPqPycTY1K4/VMPXtQeeizpTplkZm1gV8C/gHYBVwu5ktdPc/jfXZcs3mB5YMVnyHqNY7SqrhzqeLP/gqTvz+H7j53nWb0w7dcwcu/uCrWrhVtWnHu6FZVO/f+vWnHsY/nHMTf370qc1pe71gG64/9bC6rUPaXzv9/tspXx4P5Q3SKLU8alrr46kqH2dPs/LYdjovdTKdizqTeYY7ODGzVwHz3X12fD8PwN3PSvvMrFmzfPHixU3aQmkUM7vD3Wc1Y12KmfbQrJhRvLQPxYxUQ+clqZZiRqql85JUSzEj1ag1XrL+eFofsDLxflVMG8HMTjGzxWa2eO3atU3bOMkvxYxUQ/Ei1VLMSLUUM1ItxYxUQ/Ei1VLMSEHWK41K9aY3qmmUu3/P3We5+6ydd965CZsleaeYkWooXqRaihmplmJGqqWYkWooXqRaihkpyHql0Sog2aPeVGB1i7ZFRERERERERKRjZL3S6HZgLzPbw8y2Ao4HFrZ4m0RERERERERE2l6mO8IGMLMjgXOBLuB8d//yGPOvBR5s0ObsBDzWoGVndd2tWu/u7t6UdpBlYqaVx7ve2uW7lPseTYmZnMeLtnEkxUz9dMJ3ycJ5qaAd9ncnfIdWx0w77OPxyts+0Hmpvtrp+7T03KQ8pmpZ3Tc1xUvmK42yxMwWN2sUjKysu5XfudXa6bu3y3fJ8vfI8rYVaBuzpZ2+q75Lc+VhG8ei79B4Wd++ZtA+qE677a92+j5Z/C5Z3KasaLd9k/XH00REREREREREpAVUaSQiIiIiIiIiIqOo0qg63+vAdbfyO7daO333dvkuWf4eWd62Am1jtrTTd9V3aa48bONY9B0aL+vb1wzaB9Vpt/3VTt8ni98li9uUFW21b9SnkYiIiIiIiIiIjKKWRiIiIiIiIiIiMooqjUREREREREREZBRVGpVhZg+Y2VIzu9PMFse0HczsejP7c/y/fZ3Wdb6ZPWpm/5tIK7kuC/7dzFaY2R/Nm4t2/AAAIABJREFU7IA6r3e+mQ3G732nmR2ZmDYvrne5mc2udb1ZZ2ZHxO+4wszmtnp7alXq+OaRme1qZr82s7vNbJmZfaLV25SU9XjJ+v5LMrMuM1tiZj9r9bY0UtZjplJ5iq1KZSUGx4oRM9vazC6L0281s2nN38qxVfA9TjaztYkyxwdasZ1pxjqP1rNMVk/tksfUqlQZXsprl5jReak52iVealVNPUFWzxPVUKXR2F7n7vu7+6z4fi5wg7vvBdwQ39fDBcARRWlp63oTsFf8OwX4Tp3XC/D1+L33d/frAMxsH+B4YN/4mW+bWdc41p1J8Tt9i7Cf9wFOiN89jy6g9PHNm+eAT7v7y4BDgI9l5ZjkJF4yu/9K+ARwd6s3opFyEjOVylNsVarlMVhhjLwfeMLdXwJ8HfhKc7dybFXE+mWJMsd/NXUjx3YB5c+j9SyT1UWb5THjUVyGlxRtFjM6LzVYm8XLeFRaT5C580S1VGlUvWOAH8bXPwT667FQd/8tsK7CdR0DXOjBLUCvme1Sx/WmOQa41N3/5u73AyuAg2pZb8YdBKxw9/vc/VngUsJ3z50qj29mufsad/+f+PpJwomzr7VbtVnm4yXj+28zM5sKHAVk7aKx3jIfM5XKS2xVKkMxWEmMJMsIVwKvNzNr4jZWIvexXsF5tG5lsjrK/X6XpmubmNF5qSnaJl7qrOHX7q2iSqPyHPilmd1hZqfEtBe6+xoImRLwggauP21dfcDKxHyrqH9m+PHYfO582/IIXjPWmwWd8j1zKT6CMRO4tbVbslmu4iWD+y/pXOAzwKZWb0iD5SpmKpXx2KpUVmKwkhjZPI+7PwesB3ZsytZVrtJYPy6WOa40s12bs2l1k8Xfcxa3qdlKleElXVvGjM5LDdOW8VKlauoJcr+/VGlU3qHufgChSdnHzOzvWr1BUak7iV7H5X8H2BPYH1gD/FuT1psVnfI9c8fMtgWuAj7p7n9p9fZEuYmXjO4/AMzszcCj7n5Hq7elCXITM5XKcmxVKmMxWEmM5CGOKtnGa4Bp7r4f8Cu23KXNiywehyxuU7NltQyfVW0XMzovNVTbxUsNqsljcr+/VGlUhruvjv8fBX5CaIr3SKE5Wfz/aAM3IW1dq4DknbipwOp6rdTdH3H3YXffBHyfLY+gNXS9GdIp3zNXzKybcPK/2N2vbvX2JOQiXjK8/woOBY42swcIzZwPN7OLWrtJDZOLmKlUDmKrUlmKwUpiZPM8ZjYRmEz2Hkce83u4++Pu/rf49vvAgU3atnrJ4u85i9vUVClleEnXVjGj81LDtVW81KLKeoLc7y9VGqUws23MbLvCa+CNwP8CC4GT4mwnAT9t4GakrWsh8J7YE/shwPpCU7h6KHrG8q2E711Y7/EWRmzZg9CZ1231Wm+G3A7sZWZ7mNlWhM6/F7Z4mzpa7KfjPOBudz+n1dtTJPPxkvH9B4C7z3P3qe4+jbAPb3T3d7V4sxol8zFTqTzEVqUyFoOVxEiyjPA2wvZm7c7lmN+jqMxxNBnq7LVCDS2T1aht8phalCnDS7q2iRmdl5qibeKlFjXUE2TxPFGVia3egAx7IfCT2KfkRODH7v4LM7sduNzM3g88BLy9Hiszs0uAw4CdzGwVcDpwdsq6rgOOJHRE/TTw3jqv9zAz25/QbO4B4EMA7r7MzC4H/kQYmeBj7j5c67qzyt2fM7OPA4uALuB8d1/W4s2qSanj6+7ntXaranIo8G5gqZndGdM+VxjZr5VyEi+Z3X+dKCcxUynFVgOkxYiZfRFY7O4LCRdFPzKzFYQWRse3botLq/B7/LOZHU0oV6wDTm7ZBpeQUk7qBnD371LHMlm9tFkeU4uSZfjWblK2tVnM6LzUYG0WL7Wotp4gc+eJaln2bkqJiIiIiIiIiEir6fG0NmZmu5nZX82sq9XbIqWZ2XfN7AsVznuBmZ1ZZrqb2UvqtF3T4vIa3hrRzG4ysw80ej1Snpm91cxWxjxjZgPXc7KZ/a5RyxeRxmjmb9fMTjSzX9ZhOXU7L3ay8ZQnzWx+q/pgGavcJCKSZGaHxRalUkSVRuNkZg+Y2bNmtlNR+p2xsDLNzKaa2VVm9piZrTezpWZ2cpzvu/FEnPx7On52XCM9uPtD7r5tOz5CliUxBh6Jz7QW0j5gZjeN9Vl3/7C7f6mhGyhtJcbbhphXPBwLxdvWYdFfAz4e84wlleRtFWxr0yof21XR8X7CzK61Og9JXuqiLlbmPlN0brqmnuuVbCqKucLfN+u07IryBHe/2N3fWI91SuXisX9D4v3xZvYEsEeyPJm1mz1xe54ws63rvNzjzexWM3vKzB6Nrz9q8ZkUSZe3fRfPg25m6jA9R4rOV4+Y2Q/qVCZOruPkeO3+dCx3f9vMJhfN81IzuyJxrf9HMzu1lor2rFKlUX3cD5xQeGNmM4CexPQfASuB3YEdgfcAj8DmSoNtk3+E3v5/DdzcpO2X8ZsIfKLVG1EPusDPhbfEvGJ/YCYwrw7L3B0ofh59rLxNmqNwvHchnDv+o0nr/XjR+ektTVrvuCgPq4u3FB37jzdrxTp+2WBmJwHfAo5y99+0envSxBsYryX0w3l0HZf7aeAbwALgRYQ+TD5M6C9nq5TPtM0F4njUsu/KLKsZLd6N0AfSOrZ0Ytyy7ZGqFcpIBwCvBE6r14JjLH8FmEMYofQQYBrwSwsj9GFmewK3Eq71Z7j7ZEJfRrOA7eq1La2mSqP6+BGhIqjgJODCxPtXAhe4+1Pu/py7L3H3n5dakJl9BDgcOCFxR+fVZnZ7rLm83cxenZj/JjP7kpndbGZPmtkvCy0Diu/olZs3Tn+PmT1oZo+b2ReK7zhJWQuA/2dmvcUTzGxvM7vezNaZ2XIz+8fEtBFNp83sM2a2xsxWW2itVNy0fvvY0uDJeNdmz6LVHWlm98Wa7gVmNiEud4KZnRaP76NmdmGhljwRJ+83s4eAGxPLO9HMHorL+3xiO7c2s3Pjdq6Or7dOTP+gma2I33mhmU1JTPsHM7snxvM3gUzedcoDd3+Y0Anh/gBmNjke27XxWJ82VgzEY/lXQkeGd5nZvYlVjJW3YWZHmdkSM/uLhcfb5icm/zb+H7JwF+hVdd0BHcbdnwGuBPYBMLMjzexPMT8YNLP/F9MPM7NVMT95NOYp/XH+/4u/y8/FeY8APge8Ix6ju8baDjP7rJndkji3fMTMlpnZ8xL5ySkxb1hjodBV+Gxq3mFmO5nZz8xsKG7jfyfid0RemMw7E9/3s2b2MPCDmP5mCy3jhszs92a2Xx0Og0RW/tzWY2b/FvOb9Wb2OzProUSeYOEu7s1m9nUzWwfMt6JH4cxs38S6HknE70Fm9od4jNeY2TctjOQj42BmpwD/Bsx2998nftcTzezLhEqab1qiFVraMYq2iuecJ2NeMSuxrikWWuOvNbP7zeyfE9Pmm9nlaZ+N3gPcAlxA6Qv+neJ2PWlmvzGz3eOyv2tmXyv63j+10DpgMvBF4KPufqW7P+nBEnc/0d3/Fue/wMy+Y2bXmdlTwOtq2d/tpJJ9Z2XKDZZSJrXQiuPhmJ/81sz2TXxmRzO7Ji7vdjM7syj/SM2rotcCUwg3f49P5iGl8qeY/j4zu9tCC7dFhbiK074Rv9dfzOwOM3tt/fawpHH3QeDnwMtjvrIwHvMVZvbBwnw2xjVMYr7nA2cA/+Tuv3D3je7+APCPwB7AO+OsZwC/d/dTCyOiuftyd3+nuw819ls3kbvrbxx/hNHF3gAsB15GuPAqtCpyQm3krwitho4HdiuzrFnAX4HXJNJ2AJ4g1IBPJNz1fwLYMU6/CbgXeCmhBcBNwNlx2rS4DRMrmHefwroJdwG+BmwE3tDqfZz1v0QMXA2cGdM+EPfvNjEe3huP3wHAY8C+cb4LEp85AngY2BeYRLhgd+AliXnXAQfFZV0MXJrYDie0UNsB2A34P+ADcdr7CD32vxjYNm7rj4ri5MK4vT2JtO/H968A/ga8LH7mi4RC2guAnYHfA1+K0w6P3/EAYGtCq4jfxmk7AX8hDA/dDXyKMGLOB1p9HPPyV4i3+HoqsBT4Rnx/IWF4z+3iMfw/4P1jxUAifl5SIq5T87Y432HADMJNiP0ILWH6i2JrYmK5JwO/a/V+zMtf0fGeBPwQuDC+XwO8Nr7eHjggcUyeA/4l/s4+CKwFfhxjY1/gGeDFcf75wEVF670p7XcZj/Vv4+f2IpyTZhYd80sI+cmMuO7CdyiXd5wFfDduczehIF8YsKM4Pi9gS95Z+L5fIeQ5PYT851Hg4Bi7J8V9uXWrj2nW/5IxV5S++bfL2Oe2b8UY6ov7/9Xx2KTlCc8B/xSX1VO0ru1irH8aeF58f3CcdiDhzu/EuOy7gU8mlj0ibvRX0bG/ipCPvyKRPuK4FecPYxyj+YT85sgYC2cBt8RpE4A7CHnVVoTz032Eyqqyn02sewXw0RgLG4EXJqZdADwJ/F2Mv28k4urvYgwX8pjtgQ2EyoMjYkxOHGN/XQCsJ7SgmQA8r9XHsNV/lew7Kis3bC6TxvT3xbjaGjgXuDOxvEvj3yTC9cxKKsyr4jznAZcTzjuPA8cmpp3M6PypP8bdy2LaaYRKg8Jn3kV4smRi/E08rNhoWLw9wJbyxa6EFvNfAn4DfJuQH+1PKIe8Ps5XrhxyGLBqrFgmlMUujq8fBt7b6n3R8H3d6g3I+x9bLqxOI5zMjgCujxlFodJoe+DsGMjDwJ3AK4uWs0Nc1qlF6e8GbitK+wNwcnx9E3BaYtpHgV/E14WMd2IF8/4LcEli2iTgWVRpVE0MvJxQeNiZLZVG7wD+u2j+/wROj68vYMuFz/nAWYn5XsLoSqP/Skw/Ergn8d6BI4qO7w3x9Q2Euz6FadMJhatCQduJF5BFsTM1kXYbcHx8fS9wZGLabOCB+Po84KuJadvGdU0j3hFMTDNgFao0qjbe/kooCHs8tr2EAvXfgH0S834IuGmsGEjET6lKo9S8LWX7zgW+XhRHqjQa//EeIhReVhOaP0MYzvVDwPOLPnMY4eKnK77fLh6HgxPz3MGWQvp8SlcaPR3XW/j7UmL6NEIl9t3AvKJ0B/ZOpH0VOC++Lpd3fJFQ6TnqIr9EfF7AyEqjZ0kUyoHvJLc3pi0H/r7VxzTrf0UxV/j7ICMrclLPbYQLwQ0kKh1KxEdxnvBQ0XzJdZ0ALKlw2z8J/CQtbvRX0bH/S/wdTkg7boyuNEo9RjF/+VXi/T7Ahvj64BLHfh7wg7E+G9+/hnAe2+n/s3fv8XJV9d3HP78cDnCCkMMlXjhcgkpDxQhUNCjWKlaDIJKHekNU9PHR1spjURoNlkqwINHUa6v2sUq9gNzhNAgaqKBt0SCBJMYoqcgl4YRLIAkiOcBJ8nv+WHuSPXP2ntlz37Pn+3698sqZNbNn79nz22utWXtdosd3AR+NPf9tym+uPYtQDz+QUP9YC7w6eu4DwM3R3+8CHqo4rp9F18J4bJtvEzXi69+O85Tp3FU8n1RveH6VfQxHr5lGqPtMADNjz5+fJa+K/p4axfzc2HP/HnttUv70Q6IbctHjKYTy8uCU491EQn6ofy2Jt/vYWV7dT2goOjC6zveMve5CwqgfqF4PeQ07G40mxXJsm4XAjdHfE8R+fxX1n4antc73CN3U3kvF8A133+Tu8939cMK43hXAqFmYDC76/2LgDnf/QsX77k+4COLuJ9y9K3ko9vcWQqGYJu21+xNa4kvHvIXQ2i4ZufuvgB8A82PJBwOzo67zm81sM3AaYYx3pbLvoOLvklrfdXyb+6P3LL33/RXP7UKIx0b2l/R+ifty9z8QYmmEyXHmKfuV6ua6+56Ewu0wQg+u/Qh3aiu/l1JekSUGkqTmbQBmNtvMbomGFjxOmLdgv8rXSVPmuvsw4Q7rGcBPzey5wF8QGo/vj4ZdxIf/PeY7F0EYj/5/OPb8ONXLCoCPuPtw7N+OlR49dNG+hVDB/2rCtvXkRaXnFhHu3t5oYZhtPC+tZYOH4XslBwNnVeS9B8b2JdXNrfju/7Xi+Wpl236Eu7u/I7tq5cCBae9lYfLRH0TDVn4PfAblP836K0KP9G+W6qkZpH5Hkcq6xO4WhrceDOxfEUefpLxcStsWQg/CG9390ejx95k8RC1e5/gDobF7/6j+cRk75+17J6EHN4Q6y36x/eDur4zy4ccon95DdZhyNc9dxnrDjvNqZgNmttDMfhdd5/dFT+1HuFG7C+n151r18P9FuCFzQ/T4EuCNZjY95f1K7/nl2PttJDRCjkTHe1Y0dO3x6PlpCZ9PWqdUXh3s7n9NKOc3uvsTsdfUqg8n1Q0epSKWY55H6L0EIa6f18wH6AVqNGoRd7+fMGnsCYRhH2mve5Qw9Gt/Qu8iCHfyX0joOllpPSFzijsIGGvykCs9SBjqAoT5CAhdK6U+5xLuVpUypnXATysq389y9w8lbFv2HRAqYfWKb3MQIX5gchwdRCgk4z8ivY79JL1f4r4srCq3LyFmH4wfY1QhbelKUP3Ew+Sk3ybkKY8S7nZUfi+lvCJLDCTto1be9n1gMXCgh8n//oWd81TVE1NSg7tvc/drCHfQXuXut7v7yYQu1qOE7vUNvXW9G5jZCcArCD3YFiW8pJ68aD2Ah7kvznL35wMnAR8zs9dFr9tCuCNcUtnwXvkZ1gEXVOS9U9390myfUGqoVrY9ShhSVDnnHqTHWrUYXJfyXhB6lN0FHOruexEaHDRPXnMeAV5HGB76tZTXJF1vad9RNeuAeyviaE93P6HWhlE99W3An0WNhg8RhrwfYWZHxF4ar3M8i1D3LuVHlwJvieajmU0YmgehR//TwMkZPoPKuXJZzl21ekNJ/Ly+M3q/Pyc0wMyI0o3ww30r6fXnWvXw0wk3UNZGMXQlYZjaqbH3SIr3v6x4zyEP83/9KfAJQmzuHTWWPZ7w+aR91gP7mFl8Eupa9eH1TFaK5VPiidHvmjcShsBBmIbmL5o/7HxTo1FrvR84zt2fjCea2WfN7MUWJhDcE/gQcLe7P2ZhoumPA3/h7r9PeM8bgD8ys3dG27+d0D33By0+9quAkyxMur0rYVIvZXB1cve7gcuB0kSOPyB8f+82s8Ho38vM7I8TNr8CeJ+Z/bGZTSUMGazXPDPb28KS3H8THQuEitFHzeyQqNL0GeByd9/awD5K73eOmU23MJn6pwi95SBUBt5nZkdGE8t9Brgt6plwPXC4mZ0Stdx/hOReV5Ldl4DXE+YHuAK4wMz2jCrBH2Pn99JMDCTmbZE9CXd0nrKwVO07Y89tALYT5qmQJllwMmHI82/N7DQzm+buE4Tu9duqv0Oqh4EZFk06neE49iMMQ/0/hAr3SVEjUtzfm9lUC5OVvo/yvCgx77AwcfULo8bk0ucpfaYVwDujO87HA39W4zD/Ffir6I62mdkeFiZfLcxKJl2WWra5+3bCcOsvWJiMdMDChNe70Vie8APguWZ2poUJTPc0s9nRc3sSYuUPZnYYoX4lTXL39YT5CY83sy8mvORhyr/Dat9RNb8Afm9hEvuhKFZebGYvy7DtXEL+8CLCnCVHEuaY+S/KF3A4wcxeFdVt/4FQH1kXfc7lhJj8JrDEo0lro//PA75mZm8xs2dZWEziSMIcOZIi47mrVm9Isifhx/tjhJsHn4ntbxvhhtaCqMw5jPLvPzWvMrMRQgPpm9gZQ0cQ5ser7LEW9y/A2VH5VlqE5K2xY91KiKtdzOxTwF41Pp+0UHR9/wy40MICHS8h1GNLPQmr/YaJv8/jhFj+JzM7PoqdGYSGxUdj73cu8EoLCxA9FyCqy1xsCQsk9So1GrWQu//O3ZclPDUVuJYw3vIeQutmaVnQTxImVfu5hVUo4v9Oc/fHCJnZWYTM8uPAm2JdcVt17KsJk7xdRugN8gThbtPTrdxPn/g0UcEYdY18A2ES9PWEbtalyVrLeFhR7yuEIR93E1q4ob7v4N8Jc5WsIDTQfCtKv4gwzOg/Cb1GniJ83406H1gG/JIwEfOdURru/mPg7wl37B4k3H18R/Tco4RlKBcS4vlQwiTx0iB330AYNvb3hO/0SUI+89+EBryLopc2HANV8jYIc2d92syeIBS8V8S22wJcANxqoRv3MfV9OolcZ2GFu98TzufphLmE3g3cZ6G7/l8Rxt834sro/8fM7M5Y+j9XlEl3ROnfIMz5cENURr2fMJQl3jv1p4R87MfAP7r7jVF6at5ByA/+gzA/wc+Br7n7T6Ln/obQ+6g0tGC02geK4vUDwD8T5pO4mzDEUrK5ruK7vzb+ZIay7W8J3+/thKEbnyXMkVN3nhDt6/WE7/8h4LfsXKXqbwk/OJ8gNBRenvQeUr/oh9dxhIUrLqx4+suEHjqbzOwrNb6javvYFm1zJKFcepTQgDMtwyGeTpj7aK27P1T6R7jmT7OdQ0q+T/hRt5EwWfZpFe9zKaEHy/crju1zhBsvHyfUhx8mzHfzCcIPUkmR4dyl1htSfJcwhGgM+DVhEuO4Mwgx8xChnnMpUd25Rl71bsKE2jdWxNBXgJeY2YtTPt+10XtcFpW/vyL0PIGwou0PCQuR3E+oa2kIY+edSuiRtp7wG/xcd78peq5aPaRMFMufJPTof4KQT00lzPn7ZPSa3xF6Xs8AVlsYcnl1tI8nEt62J5VWDBApE/VE2Ezo8n1vt4+nH1nojfQrwmo/jfYIEhHpmOgu3L3AoPItERHpNDP7LPBcd6/WW0ikbmb2vwm9j45197XdPp5OUk8j2cHMToq6du5BaFFdxc7J5qQDzOx/mdmuZrY34S7GdfrhJSIiIiIymZkdZmYviYYiv5zQ+/XaWtuJ1MvdLyL0PHplt4+l09RoJHEnE7rxrScME3iHqytap/0lYRz07whj9TU/g4iIiIhIsj0J8xo9SRjq9nnCdA0iLefu33P3y7p9HJ2WaXiamX2UMOGlE3qfvI+wtNxlhFUI7gTe7e7PRBMdfpcwbvgx4O3RBLiY2dmE1t9thKV8l0TpxxPGRw8A33T3hVH6IUn7aMknFxERERERERGRVDV7GkUzy38EONrdX0xo2HkHYejMF939UMIkk++PNnk/sMndXwh8MXodZvaiaLvDgeMJs+oPmNkA8FXCBGIvAk6NXkuVfYiIiIiIiIiISBvtUvslO143ZGYThBnDHySsqFBaIvE7wALg64QhTgui9KsIq69YlH6Zuz8N3GtmdwMvj153t7vfA2BmlwEnm9lvquwj1X777eczZszI+LEkr+64445H3X16J/almCmGTsWM4qU4FDNSD5VLUi/FjNRL5ZLUSzEj9Wg0Xmo2Grn7mJn9I7AWGAduJCzpvTk2Qe8DwEj09wjR0oLuvjVadm7fKD2+RGJ8m3UV6bOjbdL2kWrGjBksW5a2MrT0CjO7v1P7UswUQ6diRvFSHIoZqYfKJamXYkbqpXJJ6qWYkXo0Gi9ZhqftTegldAiwP7AHYShZpdLkSJbyXKvSk47xg2a2zMyWbdiwIeklImUUM1IPxYvUSzEj9VLMSL0UM1IPxYvUSzEjJVlWT/tz4F533+DuE4TZ6V8JDJtZqafSAYQVtyD0CDoQIHp+GrAxnl6xTVr6o1X2Ucbdv+HuR7v70dOnd6QXsPQ4xYzUQ/Ei9VLMSL0UM1IvxYzUQ/Ei9VLMSEmWRqO1wDFmNjWam+h1wK+BW4C3RK85nZ1LGy6OHhM9f3O0bPti4B1mtlu0KtqhwC+A24FDzewQM9uVMFn24mibtH2IiIiIiIiIiEgbZZnT6DYzu4qw5P1WYDnwDeB64DIzOz9K+1a0ybeA70UTXW8kNALh7qvN7ApCg9NW4MPuvg3AzM4AlhBWZrvI3VdH7/WJlH1IG40uH2PRkjWs3zzO/sNDzJszk7lH1ZxOSqStFJdSL8WM1EPxIvVSzNSmcyR5pdhsjs5ff8m0epq7nwucW5F8DztXP4u/9ingrSnvcwFwQUL6DcANCemJ+5D2GV0+xtnXrGJ8YhsAY5vHOfuaVQDKCKRrFJdSL8WM1EPxIvVSzNSmcyR5pdhsjs5f/8kyPE36yKIla3ZkACXjE9tYtGRNl45IRHFZaXT5GMcuvJlD5l/PsQtvZnT5WLcPKXcUM8XS7phXvEi9FDO16RxJHo0uH+OsK1YqNpugazu/2lVfytTTSPrH2ObxutJFOkFxuZPu7mSzPiU20tIlvzoR84oXqZfKpdp0jiRvSuXJNk9ckFt5fkYqM/OpnfUl9TSSMgNmdaWLdILicifd3clm/+GhutIlvzoR84oXqZfKpdp0jiRvksqTOOX52ajMzKd21pfUaCRl0lre09JFOkFxuZPu7mQzb85MhgYHytKGBgeYN2dml45IGtWJmFe8SL1ULtWmcyR5U63cUJ6fncrMfGpnfUmNRlJmJKWFOC1dpBMUlzvp7k42c48a4cJTZjEyPIQRYuXCU2ZpCF8P6kTMK16kXiqXatM5krxJKzcGzJTn10FlZj61s76kOY2kzLw5M8vGQoJajqX7FJc76VxkN/eoEVVgCqBTMa94kXooL65N50jyJi0m1eBRP5WZ+dPOPFeNRlKmdPEvWrKG9ZvH2X94iHlzZipTkK5SXO6kcyH9RjEveaS4rE3nSPJGMSlF1s74VqORTKKWY8kjxeVOOhfSbxTzkkeKy9p0jiRvFJNSZO2Kb81pJCIiIiIiIiIik6jRSEREREREREREJlGjkYiIiIiIiIiITKJGIxERERERERERmUSNRiIiIiIiIiIiMokajUREREREREREZBI1GomIiIiIiIiIyCRqNBIRERERERERkUnUaCQiIiIiIiIiIpOo0UhERERERERERCbZpdsHIPkzunyMRUvWsH7zOPsPDzFvzkzmHjXS7cOSPqe43EnnQqT1dF1JvRQztekcSd4oJltD57G/qNFIyowuH+Psa1YxPrENgLG+elsLAAAgAElEQVTN45x9zSoAZQTSNYrLnXQuRFpP15XUSzFTm86R5I1isjV0HvuPhqdJmUVL1uzIAErGJ7axaMmaLh2R9KvR5WMcu/BmDpl/PWddsVJxGdE1KtJ6uq6kXoqZ2nSOJG/SYvK861Z36Yh6k67t/pOp0cjMhs3sKjO7y8x+Y2avMLN9zOwmM/tt9P/e0WvNzL5iZneb2S/N7E9i73N69PrfmtnpsfSXmtmqaJuvmJlF6Yn7kPYZ2zxeV7pIO5TuYIxtHseBbe6Jr1vfh3Gpa1Sk9XRdSb0UM7XpHEnepNUbN22ZYHT5WIePpnfp2u4/WXsafRn4kbsfBhwB/AaYD/zY3Q8Ffhw9BngjcGj074PA1yE0AAHnArOBlwPnxhqBvh69trTd8VF62j6kTQZCe13mdJF2SLqDkWT/4aEOHE2+6BoVaT1dV1IvxUxtOkeSN9Xqjeolk52u7f5Ts9HIzPYCXg18C8Ddn3H3zcDJwHeil30HmBv9fTLwXQ+WAsNm9jxgDnCTu290903ATcDx0XN7ufvP3d2B71a8V9I+pE3SenSkpYu0Q5YeREODA8ybM7MDR5MvukZFWk/XldRLMVObzpHkTbV6Yz/2Xm+Uru3+k6Wn0fOBDcC/mdlyM/umme0BPMfdHwSI/n929PoRYF1s+weitGrpDySkU2Uf0iYjKS3waeki7ZB2J2jADCPE44WnzOrLyfZ0jYq0nq4rqZdipjadI8mbuUeNMDw0mPhclt7r8fk2j114c98OadO13X+yNBrtAvwJ8HV3Pwp4kurDxJL6pXkD6ZmZ2QfNbJmZLduwYUM9m0qF1x42va70XqWYybe0eDt19oHcu/BEbp1/XEcbjPIUL/1yjfa6PMWM1JaH60ox01sUM7Xl4RzJTnmPl05Z8ObDGRocKEvL0nu9cr7N0ophRW44SosZXdv9J0uj0QPAA+5+W/T4KkIj0sPR0DKi/x+Jvf7A2PYHAOtrpB+QkE6VfZRx92+4+9HufvT06QrWZtxyV3IhkpbeqxQz+Za3OMxTvOTt3EiyPMWM1JaH60ox01sUM7Xl4RzJTnmPl06Ze9QIF54yi5Hhobp6r/fjimFpMaNru//sUusF7v6Qma0zs5nuvgZ4HfDr6N/pwMLo/3+PNlkMnGFmlxEmvX7c3R80syXAZ2KTX78BONvdN5rZE2Z2DHAb8B7gn2LvlbQPaZO08bwa5yudpDhMp3Mj0nq6rqReipnadI4kr+YeNVJ3j3XF8046F/2nZqNR5P8Cl5jZrsA9wPsIvZSuMLP3A2uBt0avvQE4Abgb2BK9lqhx6B+A26PXfdrdN0Z/fwj4NjAE/DD6B6GxKGkf0ib7Dw8lLpfYj6tUSWeNLh9j0ZI1rN88zhSzxMn0FIe6RqU/xfOH/YeHmDdnZkuHqOq6knopZmrTOZJOipcT04YGMYPNWyZaVmYonnfSueg/mRqN3H0FcHTCU69LeK0DH055n4uAixLSlwEvTkh/LGkf0j4z9k3OBGbsq0xA2qc0TrzU7Tdt9QWNldY1Kv2nMn8ozSMBtKzh6LWHTefipWsT00WSKC+uTedIOqWynNg8PrHjuVaVGfPmzCzbB/TvSr66tvtPljmNpI8svWdTXekirZA0TjyJxkrrGpX+04l5JDQ/g9RLeXFtOkfSKbXqka0oMxqdC6mIdG33n6zD06RPpPXwSEsXaYWsY6A1VlrXqPSfTsydoPkZpF7Ki2vTOZJOyZJXV76mkWHPjcyFVES6tvuPehpJGbP60kVaYXjqYKbXaay0rlHpP2nXfSvzg2lDyXlQWrqI8uLadI6kU7KUB/HXlIazjW0ex9k5hG10+Vgbj7I4dG33HzUaSZmhXZJDIi1dpBWy3Jjo13HjlXSNSr+ZN2cmQ4MDZWmtzg9UAZZ6KS+uTedIOiWpnIirLDM6Mey5yHRt9x8NT5My4xPb60oXaYXHYxMWVjJoy2pJvUrXqPSb0nXfztXTNm9JzoPS0kWUF9emcySdUllO1Fo9TUOSm6Nru/+o0UjKaAlF6Ya0uBsZHuLW+cd14YjyS9eo9KN2zyOh60rqpZipTedIOqmeckKx2Rydv/6jPmRSZt6cmQwOlPfHHxwwDQuStlLcZadzJVmNLh/j2IU3c8j86zl24c2aq6GKTgyBk2JRXlybzpHkVSfy/CKXwbq2+496GslklfPLaCJ86QTFXXY6V1JDaZLP0pwNpUk+AQ3zTNCJIXBSQMqLa9M5khxqd57fF2Wwru2+okYjKbNoyRomtpdf9RPbnUVL1hQnk5PcUdxlp3MlWVSb5FNxkkxLKUs9lBfXpnMkedbOPL/oZbCu7f6jRiMpo4nhpBvS4mts8ziHzL9ed/1jdI1KFooTkfbSNVabzpHk1ejysbb2LC167Bf988lkajRqgXZnPJ00bWiQzQkrWU0bGuzC0RRDkeKjXdIm1IPQ27WQ3XobpGs0u36+9joVJ/18jqW/KS+uTedI8ihp6NhHL1/Bsvs3cv7cWS3ZR9Enita13X80EXaTShnP2Obxsh+3vTrZmVl96VJd0eKjXZImJKxU6tbb73SNZtPv114n4qTfz7H0t4ltyUtLp6X3I50jyaOkoWMOXLJ0bcvKr6IvrqBru/+o0ahJ1cas9qLNWya3GldLl+qKFh/tMveoES48ZRYjw0NU+01bGq5WtFUo6qFrNJt+v/Y6ESdFO8fnjK7iBWffwIz51/OCs2/gnNFV3T4kybEnn9lWV3o/0jmSPKrWs33B4tUt2UdlvXZkeIgLT5lVmJ64urb7j4anNaloYzp3H5zC+MTkVuLdB9W+2IiixUc7xSckPPK8GxO7vYKGq+kazabfr71OdI0v0jk+Z3QVFy9du+PxNvcdj1s1XEFERLprdPkYRvpCX5vHJxhdPtaSuqUWV5Ai0a+MJqVVwHt1zOrTW5O7FaalS3VFi49OyTKEppd7NDRD12g2/X7tdaJrfJHO8aW3rasrXUREes+iJWtqrgzfj3VLkVrUaNSkoo1Z3Z6Sk6alS3VFi49O2ZRxCE0v9mholq7RbPr92utE1/hOnuPR5WMcu/Dmtg1P3ebJF1BauoiI9J4s9cZ+rFuK1KLhaU0qVcC1eowkUXxkF1+FKate7NEgnaFrr/06dY6TVrrp1+GpIiJSrnIVz9ceNp1b7tqQWC5VW613B4ND5l+veoNIjBqNWkBjVqUaxUdtlT8KsxgcsL7pNSKN6edrb3T5GPOuXMlE1AVtbPM4865cCbS2oaUT57jahNv9+v2KiPSTyoahUmNO0k2F+Px0lTcZ5s2ZWbO+WepgqhsUIjup0UhEqkorqFu5TdKPwpo0akQk1YLFq3c0GJVMbHcWLF7d0spvI/lDvYo04baIiNSnWm/TLPXH+E2GUvl01hUrMw0/rnaDolpDlno5S9Go0UhEUjUyLKSRbRr58Tex3dXTQCRF2uqDaemN6NSwseGpg4nznA1PHWzZPkREJJ+q9TbNWn8c2zy+Y1W0Uvl05uUrMm2btI+08m/Z/Ru5+o4xDaeWwtFE2CKSqlpB3cptGp2bSD0NRLqnkWu9EWk3gzVHtYhI8VXrbVpP/XHeVSt3LKIw96gRhgaz/QxO2kda+Xfpbes6Ui6KdJoajUQkVSPDQhrZJmkVpiymDamngUiSvVN64aSlN6JTw8Y60WtKRETyKa1hqDT0a3CKZXqfiW3Oedet3rEa5/jE9prbDE5Jnj8zrZxLG/Kmm5zS6zI3GpnZgJktN7MfRI8PMbPbzOy3Zna5me0ape8WPb47en5G7D3OjtLXmNmcWPrxUdrdZjY/lp64DxHpjGoFdSu3qVwePKu650ES6RP7PSu5uExLb0Qj17qIiEg9km4sDk4xtjyzlY9eviLT3EQlm7ZMcPY1q2qvoFaSUilNK+cGLHkDlYvS6+rpafQ3wG9ijz8LfNHdDwU2Ae+P0t8PbHL3FwJfjF6Hmb0IeAdwOHA88LWoIWoA+CrwRuBFwKnRa6vtI1dKLdaHzL+eYxfevKPro0ivq1ZQp8V70jZDgwM1Vzpbdv9GHnr8qbrmt356a+27RCL96LePPFlXeiMavdbzaDil12JauoiItEfl7yqAC0+ZVZYfT2x3Nm2ZwIHtdQ5VrueG48Q2Txxallb+nTr7wMKUiyJxmRqNzOwA4ETgm9FjA44Drope8h1gbvT3ydFjoudfF73+ZOAyd3/a3e8F7gZeHv27293vcfdngMuAk2vsIzdKE6GNbR7H2TnhmRqOpAjmHjXCX7x0ZMedEwO2w46COineK3sNjQwP8RcvHWHRkjWpDU3njK7i4qVr67pbJFKLGvTbK+lav/CUWT052eebjnheXekiItJ6ab+rlt2/sWs3Csc2j0+qS6SVf+fPnZVaLqpOIr0s6+ppXwI+DuwZPd4X2OzuW6PHDwClWuIIsA7A3bea2ePR60eApbH3jG+zriJ9do19lDGzDwIfBDjooIMyfqTWqDYRaC9WnPtFN2MmT2otCzq6fIyr7xjb0ZjjwLaKWzpJ8R5fnSJthYkrl61l6T2bmmooqmcoWzMUL72nUyt7pVHM9JZr70yuvF975xjnz53VkWNQzEi9FDNSj16Il7TfVRcvXdulIwp1zdJwtrHN43z08hWcefkKRhLqzVBeBy7pdp2kUb0QM9IZNXsamdmbgEfc/Y54csJLvcZzrUqfnOj+DXc/2t2Pnj59etJL2qZTE4EWTbdb27sZM3mRpZdcUuGdpHJsePz7PeuKlYkVgFt/t7HpnkWnHdOZAkzx0ns6tbJXmm7HzLEv2Keu9EaMLh/jrCtXluUhZ125sifvnj75THI+l5beDt2OGek9ihmpRy/ESx5/P1XWVEuP6xld0u06SaN6IWakM7IMTzsWeLOZ3UcYOnYcoefRsJmVeiodAKyP/n4AOBAgen4asDGeXrFNWvqjVfaRG5oItH4a0pcPWQqwrIV3fOK/yu+3HUPOBsx41zEHdawHgPSefm/Qv+QDr+A5e5ZPev2cPXflkg+8omX7+LtrV03qebhtu/N3165q2T5ERKR/DLdwhc9OGJ/YxpmXr6h5A7zf6yTS+2o2Grn72e5+gLvPIExkfbO7nwbcArwletnpwL9Hfy+OHhM9f7O7e5T+jmh1tUOAQ4FfALcDh0Yrpe0a7WNxtE3aPnKjSBOBdkqvtrYXTZYCLGvjZ7xhKGvvpEbdt/BEfnfhCWowkqr6vUH/nNFVPPzEM2VpDz/xDOeMtq5BJw+9c0REpLdUG21Qz33G0u3KvdvY0JS2GlqlWjfA+71OIr2vntXTKn0C+JiZ3U2Yf+hbUfq3gH2j9I8B8wHcfTVwBfBr4EfAh919WzRn0RnAEsLqbFdEr622j9wo0kSgnaLW9nzIUoAlNYomiRfY7f4eNYGgZNHvDfqX3raurvQ8mzqYXFVJSxcRkXyqNdrg8fGJqtsPmO34vfXFtx/JfQtPZOquWaforV/Samhpqt0A7/c6ifS+uq4yd/8J8JPo73sIK59VvuYp4K0p218AXJCQfgNwQ0J64j7yJmnCM0m3//DQpDlwSumSXa1JrGuZN2dm2aR8MLkAK71faT+QPLFY/M5Q2vc7YMZ2d/YfHmLDE0/xzLbGhq2VKhnzrlxZdowicZWx28g10svShoX24gqFp7z0gMRJUE956QFdOBoREWlUrQWE0uqQJXsN7cK5Jx1eVpa362blFIPz587i6IP3YdGSNYxtHsdImWC3xrH0e51Eel/7mmZFUsybM5OzrlxZNhfGwBRTa3sdWrEKQ9YCLN4oesj86xPfK35nKO37/fxbjyhbUe3My1dkOs40E9udBYtXq8CVVGrQL4brf/lgarqGqYqI9I5aow2SbmjGbdoywZmXr+Dvrl3F4MAUNtfomZSmVuMPwDtnh8VW4vXlsc3jDJil3oCZNpQ+VE51EullajSSjlt2/8bEyVOX3b9RmWlGte7UZFVvATZtaDCxgI4Xklm/38EBY6LB3kYljVYWRKR5Q4NTGJ/YnpjeSpu2JF/naekiIpJPtUYbVDbQpAlz5zU+f16W2mfppkTljdpt7gxOCQ1HFdVdnnxmK6PLx/R7RgpHjUYt0OwwoX5zScIwg1J6Ee8atyM+ujUvVNp8gBPbtnPswptZH41RT3Lx0rVcsnQt+w8PseWZrU03GIlIdz29dXKDUbV0ERHpb7WmRijVmbMMBeuUpBu1E9s9sU48sc3rvoEr0gvUaNSkVgwT6jdpBUAeCoZWiDcSDU8d5A9PbWUiuhXRqvjIOi/UOaOruPS2dWxzZ8CMU2cfWNYwV2+D1uaUO/tPPrONJ5+p3WBVmo9IRHpf5R3WWukiItLf0qZGADjyvBvLepB3uyh5/tnXVy3P0qYI1MI+UkRqNGpSq4YJSTFUNiImDZ9oRXxkmcT6nNFVZZPHbnPf8fj8ubMyN3jGG5bM6lsOVUSKK+0ucLYFikVEpB9VTo1wzugqLlm6tuuNRJVq3QBJm9tIC/tIEWm92iZp+fj67TqQ/JMiLb2XJDUiJmk2PuYeNcKFp8xiZHhox9KjF54yq6wQrrXkdrUGz5LR5WPMu2rljqVR1YNAREqK3mtURETaa3T5WC4bjGoZGhzg1NkHMjQ4MCldC/tIEamnUZO0fHz9Bgem8My2yQ0rgwO934aZtTGoFfFRaxLraktuHzL/+tQCOv4ZzrtuteYeEhEREZGWW7RkTU81GBmUTedw9MH7aF5b6QtqNGrSaw+bXjYEKJ4uycKKB9nTe0laI2KlTsRHtaFk1QroeIOWVicSERERkXbopZEZI8ND3Dr/uLK0elchFulVvd+1o8tuuWtDXelSbPPmzJzUVTVJJ+JjaJf6L291q5V2GV0+xrELb+aQ+ddz7MKbGV0+1u1DkiYVeaixiIi0X6+MzFD9WPqdeho1SXMa1W94aLBsdYR4eq+be9QIy+7fuGPFsjSdiI/xiezLXld2txVJUu9qe/HturHKZK3VA6U5e+y2C88k9EbcYzdVLUREJF2pPtErK+ru1sCNWOmMRuumUh/V7Jo0LaUBZFoBGkDaZcGbD+djV6wom1R5ioX0Xje6fIyr7xir2mAE7bmzUplp7jIFsrQbWdoSSCIxzTT8dGOVyVqrB0rz0oavaliriIikqaxP9ILN4xM76jyAGilyols3JfuRGo2aZCm98NPSJahchasoq3JlWT1tcIq1pItrvJFoeOogf3hqKxPRiaznzk2pfauU0S67fyO33LVBveWkTDMNP93okVlt9UA1GomIiLRell4fWVcazpvxiW2cd91qnprYXtZIceblK1iweDUL3ny4Gio6rBs3JfuVGo2apDut9TvrihWp6b1+gWf5EVyrF1IWlS3rrYq38YltPbn0qbRfWkNklgbKbqwyWW31QBEREWlOZQPRaw+bztV3jNXs9dHLNyXT6tvxnki9/luml2iamM7RAM0mqadR/dJWcC/Cyu5ZfgRvd1iweHVT+2nnXZoCfA3SBlNS8rS09Li01QLbuYrgQEomnJYuIiIi2YwuH2PelSsZ2zyOExqILl66NrXXR1yvTH5dr6TP2gwtIFJbWix1I8aK/n2p0ahJqUua65d3X5o3ZyaDGVYOSpoHqx5qQZdOSxtCmmVoaTdWmTx19oF1pYuIiEg2Cxav3jElQi2lOmvpR3WvTH6dZGiw+k/nVtXPSyMK4o1yZ1+zqnANEc1KWrW6Gyvd9cP3peFpIi22rQNdpqZYMXpmSX9oZmhbo6tilOYt0uppIv1JK+qItE89Nz/3Hx7qycmvk+w+OMBTE9tTe+W3qoeL5urJpnQuup3X5+n7alfZp0ajJu2x6wBPPjM5A9xj14GEV0vRLVi8miwL3e89tbnV9dRgJJ1mltyDMstorwGzxLmEag0Va3ZVjPPnzlIjkUgf0oo6Ivnx5NNbOe+61T3fYASwectE1WkcWtXDRXP1ZDf3qJGu5+t5+b7aWfZpeFqTBgeST2FauhRPfAxrljsvgwPGuScd3oEjE2mdZobiNjopdbU7NyIiaZR3iLRXtZuflXMdbh6fKMwCQfsPDzGS0pto76mDLWu8yNNcPVJbXr6vdpZ9atlo0uMpjQRp6VIslWNYqzFgZHiIRW85oust4kWRZRJmaY20SlJaelxa5bJWj7u83LkRkd6ivEOkvc496fDUOTwzTnXUcwanGPPmzEydR6eVN4TzMlePZJOX76udZZ+GpzWpG0tJS35kXcVsisE9F57YgSPqL694/j7dPoS+MW/OzEnzEWQtEBvtpaT8VUQaobxDpL3ic8n08sTWWRmw6K3lN33bOY9OXubqkWzy8n21s+xTo1GT5s2ZyccuX1E2j80UWjemVfIta0FZ1Lsu3XbfY8WvqORFMwVioz0ym2moEpH+NWPf5IrzjH3VaNSvNDF665Xmkjlk/vU1e9sXQTxeOjGPTh7m6pHs8vB9tbPeXLPRyMwOBL4LPBfYDnzD3b9sZvsAlwMzgPuAt7n7JjMz4MvACcAW4L3ufmf0XqcD50Rvfb67fydKfynwbWAIuAH4G3f3tH00/albaNn9GydNfLw9Sm914KjA610DZhwy//rM39s5o6u06lMGGmrQWY0WiI3e+cjLnZtWU14u0l5L70muKqalS7GNLh/jzMtX7Hg8tnl8x2PlvUEz9c7hqYOFmbMozZQ66/Ei3dDOenOWnkZbgbPc/U4z2xO4w8xuAt4L/NjdF5rZfGA+8AngjcCh0b/ZwNeB2VED0LnA0YBH77M4agT6OvBBYCmh0eh44IfReybtIze+f9va1PRW/sjXSiC9rTThb+l7W3b/Rm65a0PiBX3O6CouXrq2bNvSYzUcldNQg94wb85M5l25kolYl7vS3AC15OHOTSuNLh8rOxdjm8eZd+VKQHm5SKs0Ovm+FNO8K1ekpivfba7eObp8jMcL3mAEk+vxoDJb8qld9eaaE2G7+4OlnkLu/gTwG2AEOBn4TvSy7wBzo79PBr7rwVJg2MyeB8wBbnL3jVFD0U3A8dFze7n7z93dCb2a4u+VtI/cSBt21OrhSFoJpDjGJ7ZxydK1OybPLhVAo8vHALhkaXJDZFp6P3vtYdO7fQh9Jb5S4LELb94Rs5lUzpfZp5OYL1i8uqzxDGBiu7Ng8eouHZGISLFNVA4JqJHeby69bV1d6XELFq+eNOKiCPbYdQAjjBSoND6xjfOuU5kt/aWu1dPMbAZwFHAb8Bx3fxBCwxLw7OhlI0A8l3kgSquW/kBCOlX2UXlcHzSzZWa2bMOGDfV8pJ6hlUBaq9sxU9mmGG8ATGtv1P3RyW65qzPfXbfjpZUabfipXCmwsrGzmkVL1jCxraKhZJsXutE7LWY2p8zjlJYu/aNI+Yx0hmJG6pEWL830zCtq2fXMtu188e1Hsj3lHGzaMlHfjbMepTwmu6ZurPaAzI1GZvYs4GrgTHf/fbWXJqR5A+mZufs33P1odz96+vTO9jxIO4F1tcZlMG0oeWnqtHSpLmvM1MoABlv4RffD6hOt1qlG027mMa3UbMNPo70du9Xo3c0CvCgxI53TLzFT9Ip1J/VLzEhrpMVLQmeaqun9YGKb88lrfll1GoQi3/gq6YU8Jg9lSjP1616R6SevmQ0SGowucfdrouSHo6FlRP8/EqU/ABwY2/wAYH2N9AMS0qvtIzc61StEGXrnZckA1LW5uzSnUX261fCT9j218/vLawG+x64DdaWLFEler0uRfja0S/LPwbT0kqJft1smtledBqFdN77y0AjSK/JSpvTDNDI1G42i1dC+BfzG3b8Qe2oxcHr09+nAv8fS32PBMcDj0dCyJcAbzGxvM9sbeAOwJHruCTM7JtrXeyreK2kfudGpRqPNKZPMpaVL8/ohA+hlRVh6vdMVg2YafqamNGqkpcfNmzOTocHy17X7+8vr9Ts4kFzspqWLFEler0uRfjaecgc0LR12/lgvulvu2sBwyqiOdtz4SmoEmXflSo769I1qREqQlzKlH6aRybJ62rHAu4FVZlZafuCTwELgCjN7P7AWeGv03A3ACcDdwBbgfQDuvtHM/gG4PXrdp919Y/T3h4BvA0OEVdN+GKWn7aPvTN11gCef2ZaYLq0TXwo7reGvnRnAIfOvr/r8jBrP9wODQix52o0VEfcfHkocBpml4rMlIf+plh7XziVA0+S1AH88Zf6HtHSRIsnrdSnSz6YNDSbOTVRtCozzrls96cd6rzLSb/aPbR7nXcccxNV3jJV93nbd+EpqBJnY7myKOglo9bZyaVN7dHrKj2bq172iZqORu/836evcvC7h9Q58OOW9LgIuSkhfBrw4If2xpH30o2Z+sEk2lT/i07RzHilNdl2dAfcuPLHbh9ES1e6OtKsiMG/OzEkxnrXi02yvynYtAZomrwV4Xo9LpBMU/yL5M7EtuUdRWvro8rEdjRhFYAbV5vy+/PZ1vP1lB3LLXRvafuMrSwN6u+uKvWTALHHC9qRV79qpmfp1r8jS00hyQCtqtV/Sj/gkz2xVQ1237N7KmcdbJN47rZ6KRDfuuDfT4yftTlxep1XLawE+Y9/kH80z9tWPZumuRvOyerz2sOlcvHRtYrqIdEfSSIZq6UUbTrq9xo+piW3OLXdt4Nb5x7X9WNIa1iupd2bQzMp/rdSNHvWdVvhGo05UgqQYsmbAWzT7dduUGiDSsvqncnbumxli1q077o32+Om1IbJ5LcB/9ruNdaWLdEKnhstec8cDqennz53Vsv2ISPv0Y4NFpz5z0g2vJOqdGYyk1KVHunB+Ot2jvtPyd9u+hfIyo7r0hnp+/L7g7Bs0v1CDBszYdSC5f8q0oUHuXXhiamaft0KymQn4ujE5dDPqvROZB3OPGuHW+cdx78ITuXX+cbkozNVrVPKoU5OJpt100c2Y1tMKTNIueauLdUKnPvPco0a48JRZjAwPYcDw0CCDFXXmPNcVO1cxKQQAACAASURBVK3X6tK9rNCNRnmZUV16Qz0/fjvd7bHT2jUW+L6FJ/K7C09gYlvy+StNBtwrhUAzQ8wqKwYjw0NceMqsXDRsJEmLiLwOTxOR7DRBdbHopqm0U97qYu02MMU6+pnjN7xWnPsGFr3liJ6pK3Zar9Wle1mhh6epEpRPx75gH25NGIpx7Av26cLRSKXhoUFWnPsGoLWrtR367D12/F1raFZehxZVanaIWS91ZVUPGZHi0gTVxdKNhRYkmyJMmzH3qBHOvHxF7RcWRLd7WPRSXbEbdH46o9vXQVulVXZUCequSz7wikkNRMe+YB8u+cArunREUjI4xVjw5sNb/r6HPnsPbvrYa3Y8ztKTKI9Diyr1So8oEZFqlJcVi26a5tPo8jHmXbmyrAfYvCtXqgdYzk1sdxYsXt3twxDpqkL3NNIqNfmVxwaitNWhimyKwV67D/L4+ETL73i965iDUic27ZWeRLUU5XNksffUwcQldveeOtiFoxGRVuqnvKwfqOdYPi1YvJqJiqW6Sg0Suta6K23p9pLN4xOMLh/T9yR9q9CNRkvv2VRXuvS3fmowMmjpj4LddpnC1m3ONncGzDh19oE1V8IpSnfSonyOWs496XDmXbWybD6qwQHj3JNa3zNNRDqvX/KyfpC0ApN6jnXf5vHJN16qpedVr/aMmjo4BccmXRcXnjKLj2YYbqfhndLPCt1olNZiXPRJjKV31ertVOtOSKtl3d+AwZoLT+jAEUm3zD1qhGX3b+TS29btaBx8+8sOVAVKpCCKMNeKBOo5Ju0yunyMeVet7PZh1G1wwDjlpQfwg5UP7mg02nvqIOeedDhzjxph0ZI1ib3z4jS8U/pZoRuNphhsT/i9O6UHl/sp0meRdPcuPJHnn3196nf9u6hhptkJquOrqQCpFclTZx/IxUvX1nw/LZdcfKPLx7j6jrEdjYjb3Ln6jjGOPngf/RCRntfvZWxpta3Sj6ks5YPkm3qO5U8Rhnmfd93q1BVw82rvqYOc+JLncfUdY2W9jJ6K1V2TeudVatXwTjXQSy8q9ETYAymVvbT0XNPSRX0j6YdLtfRmlFZTSXP+3Fm865iDGLBevGiklaqtxiPS6zqZ7+aRrm+R9jv3pMMZrPgR0mvDvJMavfJu+afewC13baiax8WXbofQ8z+uVcM7Sw308cnQz75mVc8O+ZP+UeieRmmdH3qxU0TaIffgR5EaRlImsBxp0wSWtbrbnj931o75iY4878bEsffDQ71zl0wao9V4pMg6ne/Wq913ptOGZdQariEi2WnYYHvsPXWQqbvuUjUPz1KHiffOa1eeW62BXnEgeVboRiORXjRvzszECYfbNYFlPd1tF7z5cOZdubJs9Y/BKcaCN/fOXTJpjFbjkSKbN2dmYt6Wh4mDOzF0LG3+OvUyFWmtXh82ODw0mKuJu6cYO3pqVZv8vd46TLu+J92Ak15V6OFpaVWdXqwCpc2r0C/zLfSDssp5Zd294vG7jjmoJfust7vt3KNGWPTWIxgZHsIId3AWvfWInq4ASTbz5sxkaHCgLE2r8fS3tPaEnm1nqDzunHyOTgwd08IhUmTHvmCfutIl3YI3H85gTn58DA8N8oW3Hbmjgac0vKxUP73wlFk76qd5qcOkNVLpBpzkXaF7GhVpGqB3zj4ocULid85uTeOBwK4DxjNdnNyvVDlftGRN2d1ugIntXtZ1tTRcLL6S1THP35v7Hhvf0ZX2tYdN5/Lb15X1WJpiMG1okM1bJhrubtvrd8mkMepW3xp77DrAk89Mnmhzj10HEl6db6ellEuntbhcSsubd23hBIWLlqyZNLnrxDbPxZCBTtyZzvvwPJFmvPXog/j5PRvL5iibYiFd6lPKD8+7bnVL5zcaieqtt9y1gfXRfD/V3LfwxMRjS8uv81KHSZpwWzfgpBcUutGoSJIaCU6dfeCOdGne595yBB+9fEWmRsVSYdXsKmZx9Yy7hvK5htIcffA+XS8gpTjUYNi8wYEpwORGo5DeWzpVLqWt1NPKFXzyPGSgE0ND9UNGimzRkjWTJrXf7uSiUbgXleoCraoDjwwPcev848rSqr13o43ZeajD5KXxSqRehW40GpySPOn1YO/VzYFsjQTSuMqMvJN9jpoZd11NHgpIEdkpbS6IPM0RUY9OlEvTUubQmNbCCfjzPGdXJxp0OvVDxkju7Z2PwS5SVHluFO5le08dbLq3kUFiXpbW+zHt9b1EdXPpRT3afJLN1pSlxdLSReYeNcKt84/j3oRur0kanbtjipH7cdci0nppEwtrwuF0nZg7Kc/5bq25Olq5n1L5d+v849ryo2b3lLt2aekiraB5ZNrj3JMOZ7CJYcIGnHbMQYl5TVKeXO31ItJehe5pVKQ5jSSfGp0jdLszqStuibquihSXJhyu3+aUO9lp6Y3Ie75blDvTTyV1/66SLtIKGn7ZHs300B+pkcfmPU8W6TeFbjTqhKJNHlm0z9Nu1c7XrfOP49iFNzd0PovyA0FEyimPrV+nho4p322/PA8DrNeAWWJjr3oN5o8aINonnm+m1XkrJc1hVOu9RaS7Ct0feGpKd+e09EbkuUt7I4r2eZqRJX5qnS+dT2m1tNyr0Jl5gXQqT+hE+dcpykeLo1Pf5XDKfFdp6Y04dfaBdaX3ozyVV50YftmrhlLKhbT0NEnX9+T3VN5dBHm6tqUzcv/dmtnxZrbGzO42s/n1bPuZU17ClIobPlMspLdKp+Ya6JSifZ5mZImfWudL51Na7QtvP7KudMmXTuUJnSj/OkX5aHF06rtc8ObDGay4AAanGAvefHjL9nH+3Fm865iDdvQsGjDjXcccpAVLYlRe9YYLT3nJpB+EU6L0eiRd3+865iDl3QWka7v/5Hp4mpkNAF8FXg88ANxuZovd/ddZtu9Ud9SidZ8s2udpVNb4qXW+dD6lldTNvvd1Ik8oWpwoHy2OIsW/VrWtrmj5UFG18ntSXt0fdG33n1w3GgEvB+5293sAzOwy4GQgU6MRKPOS5ih+JI8Ul5KF4kT6meI/H/Q99AZ9T1IvxUx/yfvwtBFgXezxA1FaGTP7oJktM7NlGzZs6NjBSe9SzEg9FC9SL8WM1EsxI/VSzEg9FC9SL8WMlOS90ShpCYpJS1W4+zfc/Wh3P3r69OkdOCzpdYoZqYfiReqlmJF6KWakXooZqYfiReqlmJGSvDcaPQDEl6E4AFjfpWMREREREREREekb5j6p405umNkuwP8ArwPGgNuBd7r76irbbADuT3hqP+DRdhxnF/TDZznY3TvSpJ0SM710jnWsQUdipk/ymHbK03lSzLROP3yWbpdL0B/nuRcpZnpH3s+HyqX8y9s5UszkS97PR0PxkutGIwAzOwH4EjAAXOTuFzT4Psvc/eiWHlyX6LO0X16PK4mONR+K/NlaSedppyKdC32WzsjzsdVLn6Uz8nxs3aDzUZ3OT206R+V0PsoV9XzkffU03P0G4IZuH4eIiIiIiIiISD/J+5xGIiIiIiIiIiLSBf3UaPSNbh9AC+mztF9ejyuJjjUfivzZWknnaacinQt9ls7I87HVS5+lM/J8bN2g81Gdzk9tOkfldD7KFfJ85H5OIxERERERERER6bx+6mkkIiIiIiIiIiIZqdFIREREREREREQmKXyjkZkdb2ZrzOxuM5vf7eNplJkdaGa3mNlvzGy1mf1Nt4+pWWY2YGbLzewH3T6WkrzHi5ldZGaPmNmvYmn7mNlNZvbb6P+9u3mMJWkxm9fjbVTeYyYvzOw+M1tlZivMbFm3j6fbihI3Kps6oyjxAoqZTilSzDSriDHXav0cL/XUrS34SnSefmlmfxLb5vTo9b81s9O78Vk6rZ/jplLR85lCz2lkZgPA/wCvBx4AbgdOdfdfd/XAGmBmzwOe5+53mtmewB3A3F78LCVm9jHgaGAvd39TDo4n9/FiZq8G/gB8191fHKV9Dtjo7gujDHtvd/9EN48zOq7EmAXeSw6PtxG9EDN5YWb3AUe7+6PdPpZuK1LcqGzqyPEUJl5AMdOh4ylUzDSriDHXSv0eL/XUrc3sBOD/AicAs4Evu/tsM9sHWEbIB5wQYy91901d+Egd0e9xU6no+UzRexq9HLjb3e9x92eAy4CTu3xMDXH3B939zujvJ4DfACPdParGmdkBwInAN7t9LDG5jxd3/09gY0XyycB3or+/Q2iY6boqMZvL421Q7mNGcqkwcaOyqSMKEy+gmOmQQsVMs4oWc23Q1/FSZ936ZELjkrv7UmA4aiyYA9zk7hujhqKbgOPbf/Rd1ddxU6no+UzRG41GgHWxxw9QgC/PzGYARwG3dfdImvIl4OPA9m4fSEyvxstz3P1BCBkW8OwuH88kFTGb++OtQ6/GTDc4cKOZ3WFmH+z2wXRZIeNGZVPbFDJeQDHTRoWNmWYVJOZaTfEyWVpdNe1c9eM57MfPnEkR85miNxpZQlpPj8czs2cBVwNnuvvvu308jTCzNwGPuPsd3T6WCoWLlzwoQsxWoZjJ7lh3/xPgjcCHo+7g/apwcVOE61xlU2cpZtqqkDHTrCLEXJsoXrJLO1f9eA778TPXVNR8puiNRg8AB8YeHwCs79KxNM3MBglBeIm7X9Pt42nCscCbozlOLgOOM7OLu3tIQO/Gy8NR19jSeNpHunw8O6TEbG6PtwG9GjMd5+7ro/8fAa4ldGvuV4WKG5VNbVeoeAHFTAcULmaaVaCYawfFy2RpddW0c9WP57AfP3NVRc5nit5odDtwqJkdYma7Au8AFnf5mBpiZgZ8C/iNu3+h28fTDHc/290PcPcZhO/kZnd/V5cPC3o3XhYDpVUaTgf+vYvHskOVmM3l8TaoV2Omo8xsj2hSQMxsD+ANwK+qb1VohYkblU0dUZh4AcVMhxQqZppVpJhrE8XLZGl11cXAe6JV1I4BHo+Gry0B3mBme1tYae0NUVqRKW5iip7P7NLtA2gnd99qZmcQLtoB4CJ3X93lw2rUscC7gVVmtiJK+6S739DFYyqUXogXM7sUeA2wn5k9AJwLLASuMLP3A2uBt3bvCMskxiz5Pd669ULM5MRzgGtDecouwPfd/UfdPaTuKVjcqGxqs4LFCyhm2q6AMdMsxVwV/R4vddatbyCsnHY3sAV4H4C7bzSzfyA0pAB82t0rJ9culH6PmwSFzmfMve+HHoqIiIiIiIiISIWiD08T6Ttm9l4z++/Y4z+Y2fOrvH61mb2mIwcnuWdmB0UxM9DtY5F8qpWniGRVWV5Jb2imnDCzBTmZ96luilepl5nNMDM3s0KP7pHiU6NRRmZ2n5n9eZ3buJm9MPb4NWa2PSpoS/+ua/3Rgpl928zOb8d7S+PM7J1mtiz67h80sx+a2avauU93f5a73xPtf1JcuPvh7v6TZvdjZq81s1vM7PFoUlBpQpTnjFfkF/9cY5vXRF2rG+bua6OY2dbI9mb2YjNbYmaPmlnmrqy9/EOinSriYJOZXW9mB9besq59TDr3ZvYTM3uqIv5eAeV5SpX3PKhiWzezJ2OP/7SVn6Fi30eY2Y1m9piZbW3XfvqBmZ0RlVlPm9m3M25TVl+K/WiKx8PKOo7hZDNbYWa/j/KVH1tYzrgUuxMV7/3xOj+mpEj4Lt9hZpuAQ+LlRJRf/J+uHWhM1LCzysy2mNlDZvY1M5vW7ePqN1Gs3Bbl+49Ef/+1mSWtuNVVZvZKM7vZzJ6I6rCLzeywbh+X1C+l7rx/t4+rCNRo1Hnro4K29O+kpBepRbp4zOxjwJeAzxDmeDkI+BpwcjePq4WeBC4C5nX7QArkpIr84ox27qzZfCfafgK4Anh/Sw5KIIoD4HnAw8A/dWi/Z1TE38+zbhhrfHxWdOwAR8TS/qtNxwzwDGElqw+0cR/9Yj1wPiFvb9Zw7Ps/otaLzWyX6Mbbd4GzgGnAIYRyc3vspZdXxOnnWnCsUsHMTge+Cpzo7j/t9vEkMbOzgM8S6iHTgGOAGcCNFlY1kg6IvocvA4uA5xLqvH9FmPNl1zrfq62/h6KbITcSJrren5DH/BK4tdQ4LT2nsu7c1yu6tYoajZpkZh8ws7vNbGPUMr1/lP6f0UtWRq2cb6/xPgvM7Cozu9jMfg+818x2M7Mvmdn66N+XzGy36PWvMbMHzOysqAX/QTN7X/TcB4HTgI9brDeTmc03s99FLem/NrP/Fdv/gJl9PrqLd290d3FHd0ozm2Zm34r2M2Zm55uGr2QW3eX6NPBhd7/G3Z909wl3v87d5zX6XUfP7xvF3u/N7BfACyr27Wb2wipxseNOYjPH4e6/cPfvAVV7IEhzzOzrZnZV7PFnLdx53wP4IbB//O6KmU2JXfuPmdkVZrZPtG2pB8D7zWwtcLNVdKWO3mNxlMfdbWYfiO17Ur7l7mvc/VtA4mSIZvaJKA95wszWmNnrzOx4wiTpb7c6eyH0E3d/CrgKeBGAmZ0Q5eVPROf0b6P00rX68di1Ojd6/f9E3+Uno9fWfe4t1ovWQu/Fr1roAfWEhbvJL8jwHq+I8pgpsbS3m9my6O/zzexyM7syet9lZjYr9toDzOxaM9sQlVkfjp2n37j7RcCvM51YSRWVV6PAY/F0M9vPzH5gZpujePqvKK/5HuGGyHXWQK+fKLY+bGa/BX4LHAnc6+4/9uAJd7/a3de26jNKbVH94fPAHHf/WbycMLMLgD8F/tliPWLN7HAzuymKj4dLeU5kVzP7bnRtrzazo2P72t/Mro5d2x+JPbcgKsMmbWtmewHnAf/X3X8U1bHuA95GaAh4Z/S6sh7XVtFD16rUlaU221nf/Wt3vyq6Zt3dl7v7ae7+tJmdaGbLLdRb15nZgtj2k+olUfqVFnqOPW5m/2lmh8e22dfMrove7/ao/IhP03BYLBbXmNnbYof8OeC77v7l6Fg3uvs5wC8IE2InDkusKAdTP4/kg5kdY2Y/i8qslRablsNCT8l/MLNbo+v+RjPbL/b8q2LbrjOz90bpu5nZP5rZ2iiP+xczG+r8p+sMNRo1wcyOAy4kFEjPA+4n3N3E3V8dvax0Z/XyDG95MuEHwTBwCfB3hLskRwJHAC8Hzom9/rmEOykjhLv6XzWzvd39G9H2n6vozfQ7QsE+jVCwXmxmz4ue+wDwxmhffwLMrTi27wBbgRcCRxGWksxFV+Qe8Qpgd+DalOcb+q6j574KPEWIwf8d/ZukSly06jikM84CXhJVYv6U8D2c7u5PEq7heG/G9cBHCNfznxHuom0ixEzcnwF/DMxJ2N+lwAPRtm8BPmNmr4s9X5lvpTKzmcAZwMvcfc9of/dFK6l9hp09Bmr2QuhHZjYVeDuwNEr6FvCX0bl8MVHlOvJcQp4zAnwK+FfgXcBLCeXAp8zs+S0696cSypS9CSvKXFBrg6jX0hNAPJbeBXwv9vgU4PvAPoQYuzb6kToA/ICwSs0I8HpgXkVcSnudRcgXphN6EXwScHd/N2GlodKd3kZ6/cwFZhMaR+8EDjOzL1oYAv2s6ptKG3wI+Afgde6+rPJJd/874L/Y2TPxDDPbE/gP4EeEsuOFwI9jm72ZUF8eJizRXWpomgJcB6wkXNuvA840szm1tgVeScjzrqk4vj8Qbqi8IePnrVZXltpeAezGziXqkzwJvIfwHZ4IfMjMKn93VNZLfggcCjybkC/E6xtfjd7zucDp0T8ALNxQu4lQljybUF59LWrUnEqImysTjvEKssdMls8jXWJmI8D1hF6z+wB/C1xtZtNjL3snYSW8ZxN6w5Vuwh1EiL1/IpR3RwKlldE+C/xRlPZCdta3CkmNRs05jbC84J3u/jRwNvAKq96dcf+opbL0L97a/XN3H3X37e4+Hr3/p939EXffQCi83h17/UT0/ES0nN8fgJlpO3b3K919ffT+lxPu4r08evptwJfd/QF330RYahIAM3sO4cfomVEPmUeALwLvqH2KJLIv8Ki7p82v0dB3Hf14+gvgU9F38ytCA1+jWhpz0rTRivziA+6+hfDj+gvAxYS7qtXmMfpL4O+ia/tpYAHwFivv8r0gip/x+IYW5s55FfAJd3/K3VcA36Q8JirzrWq2ESqTLzKzQXe/z91/V/s09L1RM9sM/J7QQLIoSp8gnMu93H2Tu98Z22YCuMDdJwg/sPYj5PFPeFgSdzXwkhr7/Uos9u6s8rprop6GWwkV+SMzfq7vEmKZ6K7e6wiNlCW3ufu10WdYBOwFvIzQsL2Xu3/G3Z9x97sJDWgqkzpngnCj4uCoPPgv95rL8T4ai6e/rfK6C6O7/eMe5s56DaEyfkX0Ht+uaDx6W0U+qfkrWuv1hIbqVXVs8ybgIXf/fFR2POHut8We/293v8HDnEjfI9ykgnB9T3f3T0fX9j2EBu93ZNh2P9LrWQ8SfvDVVKOuLLVN+h5ivTTGzezV7v4Td18VneNfEvL9P6t4n7J6ibtfFMVRqR5zhIVREKV68LnuvsXdf015PfhNhJtT/+buW6Ny8mrCTbB9CL+FH0z4HPXETJbPI50TrzuPEuoZN0T5xnZ3vwlYBpwQ2+bf3P1/oni7gp31mNOA/3D3S6Oy7jF3X2FmRuhw8dGovHqCcAOusPUQNRo1Z39C7yJgx92MxwiVmzTr3X049u+K2HPrqr1/9He8MvRYReG4BUi9C2dm77EwmeTm6AfIiwmZe2lf8f3H/z4YGAQejG37/witsZLNY8B+lj42u9HvejqwC+XfV/x96tXSmJOmza3IL/4VwlBAwjBAIxRu1RxM6KFRunZ/Q2i8eU7sNZV5T8n+QKkwLLmf8jwubdtJoh/3ZxIqfI+Y2WX6gZfJXHcfJjS4nQH81MyeS6gonwDcb2Y/tWii6shjvnMy81Jj3sOx58epfe1+JBZ7f1LldQ/F/q4nT/geMDe62/sO4JbopkTJjtiKPssYISYPBg6KNxQAHyfcZZbOWEToVXajmd1jZvMzbLNfLJ7+scrryvIUd1/q7m9z9+mEHiCvJvSKLbmiIp/U/BWt9VeEu+nfjH4oZXEgocdOmso8Y/eofnQwFTdXCb3YnpNh20dJr2c9D9iQ5cBr1JWltkn1XXd/ZVSGPQZMMbPZFhZO2WBmjxNirPIc78gHLEyhsdDCsMHfA/dFT+1Hcj248jfM7IqYOo1QXmwizI+W1JOsnpjJ8nmkc+J157mEGHhrRQy8ivLvPa0ek5aXTQemAnfE3vNHZGxo7EVqNGrOekIgAju6QO5LqNg2ovIuXdn7E+YJyFoZKnsvMzuYcLfmDGDfKPP+FeFHJ4QW9QNim8RX51kHPE15hW8vdz8cyernhCFkad1VG/2uNxCGDca/r4OqvL7WneBmYk46xML8LbsRvpv4nCFJ3+864I0VP6p2d/exGtsRvf8+0VCDkoMoz+Myr5AG4O7fd/dXEeLMCd17636ffuTu29z9GkKj36vc/XZ3P5nQgD9K7QbE1Ldu1THWtdMwL80ywhDHd1M+NA1i+Vo0bGWEEJPrgN9WxPSenrKwhLRedMf/LHd/PnAS8LHY8MBm4yl1e3e/nTD86MVN7kOye4TQC/BPCZOQJ6n8ztZRMb9iRusIc1hVXtsn1Nwy1LOeJgxr3SGqm78RKE3e/SThx17Jc2OvrVVXltpK30O1RV6+TxhaeKC7TwP+hcnnOB5T74ze788JwwZnROnGznpwtd8wP62IqWe5+4c8DOv/OfDWhGN8GykxE920qffzSPesA75XEQN7uPvCmlum52WPEm6+HR57z2m+c+GPwlGjUX0GzWz30j9CBf19ZnakhcmCP0PoTn9f9PqHgec3sb9LgXPMbHrUdf9ThOEoWVTuew9CBrwBwMIExvFK1xXA35jZiJkNA58oPeHuDxJWFvi8me1lYbLLF5iZul5m5O6PE76/r1qYkHaqmQ2a2RvN7HM0+F1Hd9+vARZE7/kiYmO5E9SKyYZjLoqL3Qm90iy6TupaJUNqM7M/IozLfhfhh/bHzazUjfZhYF8rX174X4ALosow0XebacU+d18H/Ay4MPo+X0KYQyl17iILdidaISXarjSZ+kwzOy56/BShwC31hnkYmGGxiZGlXHRuTybMHfRbMzvNzKZ5GL71e3aey3p189x/lzC0+zAmz4HxcgvLrQ8S5hd4gjCP0c+BZyxMyr97dBd6lpm9FFJjUHlRAyzMIbU7MAAMROdyFzN7k4UFFoydsRe/lpup+8T3/yoLC448O3p8GGFOm6XVt5RWinpvHQccb2ZfTHhJ5Xf+A+C5Znamhcli9zSz2Rl29Qvg9xYWTBiKru0Xm9nLMhzj44Qh9f9kZsdHdawZhPlqHmVnubUCOMHM9ol+/J8Ze5tadWWpwd03E76Hr5nZW8zsWVH98EjC+QXYk9CL+SkzeznRJOVV7EloiHqM0Hjzmdj+KuvBhxHmFyr5AfBHZvbuKCYGzexlZvbH0fPzgdPN7CNRnO5tYaL0VxPmrYUwx9bh0e+93Qm9pSuPr57PI511MXCSmc2J8pTdLUyAf0DNLUO+8edm9rao7NvXzI509+2EBuYvxsqnESuff61QVDmvzw2EHzmlf38K/D1hbOyDhJbI+FjGBcB3bPLcRVmdT7gL+0vCWPI7o7QsvkWY62KzmY1GY3w/T6hsPwzMAm6Nvf5fCQ1DvwSWEz7rVnZWAt9DqID/mtCd8yqSu3NKCnf/AvAxwsTSGwit12cQegg0812fQehG+RDwbeDfqry2LC4Snm/mOF5NuC5uIPRGGSfElDSutAJR6d+1hMLvs+6+0t1/S+i6/z0z283d7yI0/N1jO+f2+DLhDtiNZvYE4cdWlsp7yamEu3rrCRO5nxuNB09zMOG7L62eNg6sif7ejTBf2qOEeH12dPywcyLKx6z6/Dn96Doz+wPhx/kFhIbh3xAaDe+z0F3/r4jmB2pAN8/91YQfm1f55DmxriV8po2ECcBPieak2EoYlvdywjCFqksFYAAAIABJREFURwlDpveKtnsBIe5WEho7xtFKao06h3D+5hO+i/Eo7VDCRMd/INQrvubuP4m2uZBw86HW3EVZbCY0Eq2KroEfEeKikQm2pQnRTYTjCHPBXFjx9JcJc+VtMrOvREOaX0/ohfYQYV6g12bYx7ZomyOBewnX9jcJvUuyHOPnCGXKPxIame8lNDL8edSrBEKPxpWEvONG4PLY9rXqypJB9D18jNAT+hHCufx/hBvSPwP+Gvh0VCf5FLV7yX6XMDR+jJCXVzYan0GIkYcI3++lhEYmolh8A+H32froNZ8l1Edw9/8mTLZ9CuG33EZCGXucu6+KXvM/hBXh/oMQy2UrqTXweaSDorzrZELeUPr9NY8M7SBRj+gTCIs/bCQ0OpfmUfsEYZj20qge9h8UeJ5X85rzFsr/Z+/cw6yorrT/LppGGzU2KEZpQYwxGBlUIiMYZjKRJOIlasdLlGiik4xOLn4zuUwbnI8ZMKORSGZi8iXRMaMTEw3iLR28DXGCThInEEEgBJVIUIHGCxEaL7TaNOv7Y+9qqk9X1ak6p+qcXXXe3/P00+fsuu1TtWrvtddee61GREROBXCjqh5WdmdCCCGkAqynyrMALvEZHWBneg9V1UvqVDVCSM4RkU/DeL1Ms4M/0gCIyDcAHKyqUZ73YcceC5OJ9BOqujj1yhGSU+hpRAAA1g34NOt61wZgDsLTwxNCCCFp8HGYGeH/KbcjIYQkQVVvgfEueH+960KyQ0SOEpFj7NLkE2CW0Vc0hlHV1TDxRydKePIaQhoOvgzEQ2BmYxbCuJ8/AONiSQghhKSOiPwaZpnThUq3Z0JIBqhqaYB9Ujz2g1mSNhpmOdy/YnCMvNio6q8A/CqdqhFSDLg8jRBCCCGEEEIIIYQMItbyNBH5koisFZHfi8gCG3X8cBFZJiLPiMhCLzOJzZKwUETW2+3jfOe50pav80cXt1kO1tlts3zlgdcghBBCCCGEEEIIIdlS1tPIxrf5NYCjVbVHRO6EyY50GoB7VfUOEbkRwGpVvUFEPg/gGFX9rIhcAOBjqnq+mFTgC2CynYyGiTD+HnuZP8BkWdgMk053pqo+aa816BpR9T3wwAN13LhxldwL4hArVqz4k6qOqsW1KDPFoFYyQ3kpDpQZkgT2SyQplBmSFPZLJCmUGZKESuUlbkyjoQBaRKQXJnXlCzBpNz9ht98Kk17+BpiUdnNt+d0Avmuzo5wF4A5VfQvAsyKyHsaABADrVXUDAIjIHQDOEpGnIq4Ryrhx47B8+fKYP4u4iog8X6trUWaKQa1khvJSHCgzJAnsl0hSKDMkKeyXSFIoMyQJlcpL2eVpqtoF4JsANsIYi3YAWAGgW1V32d02A2izn9sAbLLH7rL7H+AvLzkmrPyAiGsMQEQuE5HlIrJ869at5X4SIZQZkgjKC0kKZYYkhTJDkkKZIUmgvJCkUGaIR1mjkYiMgPESOhxmWdk+AE4N2NVb5yYh29IqH1yoepOqTlbVyaNG1cQLmOQcygxJAuWFJIUyQ5JCmSFJocyQJFBeSFIoM8QjTiDsDwN4VlW3qmovgHsBvB9Aq4h4y9sOBbDFft4MYAwA2O37A9jmLy85Jqz8TxHXIIQQQgghhBBCCCEZEsdotBHAVBEZbmMTfQjAkwAeAXCu3ediAD+znxfZ77Dbl6iJtr0IwAU2u9rhAI4E8FuYwNdH2kxpwwBcAGCRPSbsGoQQQgghhBBCCCEkQ8oGwlbVZSJyN4AnAOwCsBLATQAeAHCHiFxty262h9wM4Mc20PU2GCMQVHWtzYb2pD3PF1S1DwBE5HIAiwE0AbhFVdfac3015BpO07myC/MXr8OW7h6Mbm1Bx4zxaJ8UGI6JkEyhLJI0oTyRokMZzw7eW0L4HrgGnwcpIlnIdazsaao6B8CckuIN2JP9zL/vmwDOCznPNQCuCSh/EMCDAeWB13CZzpVduPLeNejp7QMAdHX34Mp71wBARQ+LjRmplM6VXei4azV6d5tQYF3dPei4azWAymSR5Ics2o202zZCXINtZnbw3hLC98A1+DyIR5HG21np63GWp5EEzF+8rv8hefT09mH+4nWJz+U99K7uHij2PPTOlV0p1ZYUmbmL1vZ3hB69uxVzF60NOYIUgazajTTbNkJchG1mdvDeEsL3wDX4PAhQvPF2Vvo6jUYps6W7J1F5FBykkWro7ulNVE6KQVbtRpptGyEuwjYzO3hvCeF74Bp8HgQo3ng7K32dRqOUGd3akqg8Cg7SCCFJyardSLNtI4QQQgghpN4Ubbydlb5Oo1HKdMwYj5bmpgFlLc1N6JgxPvG5OEgj1TBieHOiclIMsmo30mzbCHERtpnZwXtLCN8D1+DzIEDxxttZ6es0GqVM+6Q2XHv2RLS1tkAAtLW24NqzJ1YUeIqDNFINc86YgOYmGVDW3CSYc8aEOtWI1IKs2o002zZCXIRtZnbw3hLC98A1+DwIULzxdlb6eqzsaSQZ7ZPaUhlIeecoSjR3UlsoP41Jls89rbaNEBdhm5kdvLeE8D1wDT4PAhRTDrLQ12k0chwO0kg1UH4aEz53QiqD70528N4SwvfANfg8CEA5iAOXpxFCCCGEEEIIIYSQQdBoRAghhBBCCCGEEEIGQaMRIYQQQgghhBBCCBkEjUaEEEIIIYQQQgghZBA0GhFCCCGEEEIIIYSQQdBoRAghhBBCCCGEEEIGQaMRIYQQQgghhBBCCBkEjUaEEEIIIYQQQgghZBA0GhFCCCGEEEIIIYSQQdBoRAghhBBCCCGEEEIGMbTeFWgEOld2Yf7iddjS3YPRrS3omDEe7ZPa6l0t0gBQ9kiaUJ5I0aGMl4f3iOQRyi0JgnJBikgWck2jUcZ0ruzClfeuQU9vHwCgq7sHV967BgDYKJFMoeyRNKE8kaJDGS8P7xHJI5RbEgTlghSRrOSay9NSpHNlF6bNW4LDZz2AafOW9Fv5vIfm0dPbh/mL19WplqRRoOyRNMlSnoLaTkJqDdvM8lRyj/h+k3rj0rvN98EdXJILQtIiK7mmp1FKhFn1Sh+ax5bunlpWjzQgXSEyFlZOSBRhbVa1bRln+ogrsM0sT9J2gO83cYGs+q+k8H1wC7b5pIhkJdexPI1EpFVE7haRp0XkKRE5UURGisjDIvKM/T/C7isi8h0RWS8ivxOR9/nOc7Hd/xkRudhXfryIrLHHfEdExJYHXsNFwqx6TeanDGJ0a0stqkUamDDZCysnJIqwNqvatowzfcQV2GaWJ2k7wPebuEBW/VdS+D64Bdt8UkSykuu4y9O+DeC/VPUoAMcCeArALAC/UNUjAfzCfgeAUwEcaf8uA3ADYAxAAOYAmALgBABzfEagG+y+3nGn2PKwazhH2GxFnypampsGlLU0N6FjxvhaVIs0MH2qicoJiaJjxvhM2jJXZoAJYZtZnqTtAN9v4gJZ9V9J4fvgFmzzSRHJSq7LGo1E5B0APgDgZgBQ1bdVtRvAWQButbvdCqDdfj4LwI/UsBRAq4gcAmAGgIdVdZuqbgfwMIBT7LZ3qOpvVFUB/KjkXEHXcI6w2Yq21hZce/ZEtLW2QHzf6YZKsqYtQiYJSUr7pLZM2jJXZoAJYZtZnqTtAN9v4gJZ9V9J4fvgFmzzSRHJSq7jxDR6F4CtAP5TRI4FsALA3wN4p6q+AACq+oKIHOTVCcAm3/GbbVlU+eaAckRcYwAichmMpxLGjh0b4yelT8eM8YNiGAnM+sH5i9cxhaNjuCAzWdMxYzw67l6N3r49luXmJqGXWwU0grzEoX1SW+rtWFHllDJTe6pNMRvUj9fSG8Flman03tb7nhYdl2XGNbLov5JS7/6O8jKQej+PPECZyR9ZyXWc5WlDAbwPwA2qOgnAG4heJha0YE4rKI+Nqt6kqpNVdfKoUaOSHJoa/lkMwPwo70d4ge6YIcEdXJCZmlD6JtHjtiIaRl7qRQHllDJTW7wAs13dPVBU1u/W2xvBVZmp5t7W+54WHVdlhkRQx/6O8hJAAfWPNKHM5JQM5DqO0WgzgM2qusx+vxvGiPSSXVoG+/9l3/5jfMcfCmBLmfJDA8oRcQ0naZ/UhsdmTUdba8ugZ8NAd6TWzF+8Dr27B0pi726lHBKnoJySNEgrwKzXjz8773Q8Nms6jRuo/t7ynhJiYH/nFnwepIhkJddljUaq+iKATSLi+TR9CMCTABYB8DKgXQzgZ/bzIgCfslnUpgLYYZeYLQZwsoiMsAGwTwaw2G57TUSm2qxpnyo5V9A1nIaB7ogLUA5JHqCckjSgHGUH7y0h6cB3yS34PEgRyUqu48Q0AoD/A+B2ERkGYAOAv4YxON0pIp8BsBHAeXbfBwGcBmA9gJ12X6jqNhH5FwCP2/2+pqrb7OfPAfghgBYAD9k/AJgXco26E7W+v3V4M7bv7B10DAPdkVoyurUFXQENBOWQuEQ5Oa02Tg1pDNJq72Z3rsGCZZvQp4omEcycMgZXt09Mq5q5JI13lO8xIdTLXIPPgxSRrOQ6ltFIVVcBmByw6UMB+yqAL4Sc5xYAtwSULwfwZwHlrwRdo9546/s9d21vfb/H62/uGnQMA6uRWjPugOBGY9wB7AyJO5x01CjctnRjYHlUW8sBJ/GTRsDl2Z1rBshin2r/90Y2HEXd2zjvKN9jQgzUy9yCz4MUkazkOk5Mo0LTubIL0+YtweGzHsC0eUtiBXaMWt8ftI4QAPYZNpTKEakpSzdsT1ROSD145OmtoeVpxakhblNJP1xKGgGXFyzblKi8kdhr6B51ccTw5v57G+cd5XtMiIF6mVvweZAikpVcx12eVkgqnf2qZK3gjp7By9UIyZI+DQ6VH1ZOSD2Iak/DJDVoBoXkkzS9UKpNqc02czClzwcA3uzd3f85jj7EuCGEGNjGuAWfBykiWcl1Q3saVTr7FbYmcHRrS+Q2QgghA4lqM5tEAreFlZP84ZIXCuVtMOWeTxydh3oRIYQQkm8a2mhU6exXx4zxaGluGlDmre+P2kYIIWQgUW0mZwGLj0teKDOnjElU3giUez5xdB7qRYQQQki+aWijUaWzX1GxE9KIq0BIGrSFyHFYOSH1IKrNpAwXH5e8UK5un4iLpo7t9yxqEsFFU8c2dBDscs8njs5DvYgQA/s0t+DzIEUkK7lu6JhG1WRbiYqdUG1cBULSII1sQoTUgrA2kzJcfFx7xle3T2xoI1EpcZ5PHJ2HehEh7rV3jQ6fBykiWcl1QxuNPAVm/uJ12NLdg9GtLeiYMR7tk9rQubIrsJyQvNA+qQ3Ln9+GBcs2oU8VTSI453gq7sQ9wtrbqDaaFAPXnjH7/oFU+nx4HwkZDPUyt+DzIEUkK7luaKMREDz7lWY2F0LqRefKLtyzoqs//kufKu5Z0YXJh42kHBNnKNfe0kOh+LjyjNn3B5P0+fA+EhIM9TK34PMgRSQruW7omEZhVJvNpXNlF6bNW4LDZz2AafOWoHNlVxbVJCQSl7ISERIG5ZSkRbV9L2UxOUH3nPeRkGD4brgFnwcpIlnJdcN7GgVRTTYXzrARV+gKkdewckLqAeWUpEEafa9LmdzyQNg9L1VWPXgfSaPD/s4t+DxIEclKrmk0CmB0a0vgjQ3KIlK6bn/n27tCrXs0GrlPkeIwNIkEpib3MgOR4pInOaackjSImlmLK/tJ+v4iE7f9CLvnYe90o91HQkphf+cWeXkeedLpSDS1eJZZyTWXpwXQMWM8WpqbBpXvfHvXAHd3b5atq7sHCmPB276zN/CctFq7T9DzvPLeNbldXhjUYESVk2KQNzmmnJI0SGNmrWPG+EFK0RBb3igkaT/CPIf6VFGqmoZlbuFyftJIsL9zizw8j7zpdCScWj3LrOSaRqMA2ie14dqzJ6K1pXlA+fadvQMebtAsWxgC8AV3nKKtbW5pDn69w8pJMcibHFNOSRqEzaAlmVlb/vw27C4p223LG4Uk7UeU55AC/YajttYWXHv2xNCkIxwMEULqQR70j7zpdCScWj3LrOTanbfCMdontWGfvQav3vM/3CTr8xXgC+44RYtn8dau0uFPdDkpBnmT43JySk8EEoc0ZtYWLNuUqLyIhLUTXd09g97DMK9sD4UxGD02a3qi5W3UlQghtSAPenLedDoSTq2eZVZyTaNRBGFu7d7DTbo+ny+424Q9z7zGYdgdMlYKKyfFIG9yHCWn9EQgcWkLke+w8iDysFQha/Yv8bD2EGDQewgA1549MfIeR+k9HAwRQupJHvTkvOl0JJxaPcus5JpGIx/+Ge3jrvp56H7ewy03y1ZK6/BgZYy4QdDzDIvDQIir5E2Oh4SsHhoi9EQg8emYMR7NTQOFqblJnJV7F5nduQbdPcFxGUt1zZ7ePnxx4SrMXbQWO9/eFXrOKGWYgyFSS2Z3rsERVz6IcbMewBFXPojZnWvqXSVCypI3nY6Ek/dnSaORpXRGO0xxAvYExfRiH8Xl9Td3cYbcYbzn2dbaAkF4HAZCXCZvchwWccbzbAiCiQVIIKWWDYdmi12nc2UXbl+6MfFx3T29oQlAyinDeVegSX6Y3bkGty3d2O812KeK25ZupOGIOE/edDoSTt6f5eCgPQ1KkqDWX1q4CvMXr+tPkzd/8bpYg5je3Zoo/S+pPe2T2vh8SO5xUY7D0oz2hQzs+zQ/6XBJ/Zm/eB16S3yv2efGZ/7idana2NpipBL2tlWSfpgpqEkSouKVXd0ef/KXkHrgok5HKiPPz5JGIxjlI8nMdema/pOOGoXbYs7Qca0+qRQqySSveJ6cnmHe335GwRgzJC6Mj1MdUfeppXkIdu1W9IZZeKugEgU6qj1hn0iCYF9CCCHV0fDL0zzloxK82BqPPL019jFcq08qgQGBSZ6pNDZRGsGNSWPA+DjVEXWfenp3Y1dCg1FXdw++tHBVJst/GOuMEEIIqS0NbzRKsiwtiC3dPYlmMk86alTF1yKNC5Vkkmcq9QIJay/ZjpJSKCvVUS6OUCX+GArg9qUbU5/coFcZIYQQUltiG41EpElEVorI/fb74SKyTESeEZGFIjLMlu9lv6+328f5znGlLV8nIjN85afYsvUiMstXHniNNKlWyRjd2hKaojaIJF5JYfizvE2bt4TeJg0AlWSSZyr1AglrL9NoR0mxoKxUR/ukNoyoIMOrAGiO0CQVSH1yg15lJClRCRcIIYSUJ4mn0d8DeMr3/RsAvqWqRwLYDuAztvwzALar6rsBfMvuBxE5GsAFACYAOAXA960hqgnA9wCcCuBoADPtvlHXSI1qlYyu7p7ITGulVDvI5zKlxoRKMvGTN8NxpVmSmD2NxIWG9eo5/ZhDEh+jAHp3R++T9jNg1jWSlGFDg4c7YeWEEEIGEqu1FJFDAZwO4D/sdwEwHcDddpdbAbTbz2fZ77DbP2T3PwvAHar6lqo+C2A9gBPs33pV3aCqbwO4A8BZZa6RGh0zxtd0pmHvqCm5GHCZUmNSNCU5b0YPl6jWcFyPe19pmlHODpO4hHn8JvEEbkS89mDcrAdwe8yEHkkZ3dqSaruT97TFpPa8tSvYshlWTgghZCBxs6ddD+AKAPvZ7wcA6FbVXfb7ZgBeb90GYBMAqOouEdlh928DsNR3Tv8xm0rKp5S5xgBE5DIAlwHA2LFjY/0gfyaqWuZO6Ondjc6VXRUrN5xNTYdKZKaeVJOa2DXymPnGJXmJMhyXu3/l7v3szjVYsGwT+lTRJIKZU8aklo64kixJYW1zHvLdZC0zzKY4EAmxJIaVu0it25nS9iCL96p5iOCko0al3ubnOW1xmrjUNxH3obyQpLggM9R33KCs0UhEPgrgZVVdISIf9IoDdtUy28LKg1xvovYfXKh6E4CbAGDy5Mll9Z5SRanWlBvcRb0co1tbApdmcJlSMpLKjAsURUmuxuhRL1ySl2oMx1H3fvnz23Cbz9OgT7X/exqGo0br9LOUmTwaXqNIQza27wxeJh5W7iK1bmeqTQQSh333HopHnt6auzY/L7jUN4XRaG2/y+RBXohb1Ftmiqbv5Jk4a6WmAThTRJ6DWTo2HcbzqFVEPKPToQC22M+bAYwBALt9fwDb/OUlx4SV/yniGlVRC0UpiqjBXbmlJ0VbpkQaD3rLVUc18a2i7v2CZZsCt4WVJ4Gx2NKlSMuUKRv1oxZtbvfOXrb5DQzfb0JINRRJ38k7ZY1Gqnqlqh6qquNgAlkvUdULATwC4Fy728UAfmY/L7LfYbcvUVW15RfY7GqHAzgSwG8BPA7gSJspbZi9xiJ7TNg1qqLeikrU4K7cy8G1/CTvMKh3dVSTWjzq3vdp8ARSWHkSKu30GdMomLQG4S7EFqNCWD/ixHtqqTIO4+jWFrb5DQzfb0JINXDSwR2q0Qa+CuDLIrIeJv7Qzbb8ZgAH2PIvA5gFAKq6FsCdAJ4E8F8AvqCqfTZm0eUAFsNkZ7vT7ht1jaoIU1TaWlvw3LzTcf35x2UWB6GcV1Ccl6N9UhsemzUdz847HY/Nmk6DEckV9JarjmpSi0fd+6aQRi+sPAmVZkHLc0yjLEljEO6KBwAVwtriD3wdlfm1rbUF159/HJ76l1Orul7HjPFs8xsYZsAkhFQDJx3cIZHRSFUfVdWP2s8bVPUEVX23qp6nqm/Z8jft93fb7Rt8x1+jqkeo6nhVfchX/qCqvsduu8ZXHniNaimnwLRPastkVNIkUtYriC8HKTr0lquOagbZ7ZPacM7xbf2GoCYRnHO8iZU1c8qYwGPCykuJ8lqp1CDVFmHgb2TSGIS74gHAPq92+A2FYXhvZFd3D+YuWlu1EdGLxcc2vzHJcjKCEFJ8ajXp4ILntevEzZ5WKOJkogoLOF0pAjP4KqckdcwYPyhIN2fkSNEoSlDvetA6vDkwuG/r8D1LTcICj3au7MI9K7r6l5z1qeKeFV2YfNjI/mDXlWRPKxeosNKlbx0zxuPLd67Cbt9uQwQN3x6mkU3RFQ8f9nm1oXNlF75y5+qy75x/a3dPL764cFXF1xwi6M8Wyza/Mcly2TMhpPjUIns0g23HoyGNRnHomDEeHXetRu/udDo2BfoHZ1ECWKTU6oSkCTOwGMJ0ba88qvMrl7nu6vaJFWVKK3fethAjfFi5x/Lnt6G0Cd6tprwRn72fagfhrmTiTKvP22dYE954e3CCi32GNQXs3Vh4bUKtB+q7tXy2WFJsotp+QgiJQ9aTDnnM6lwPGspo5A06u7p7INgzo9bV3YMvLVyFLy5chTafwnrVfWtTTdcbVwA5I1c/aJhwE84C7CEsDolXHtX5VetdEvZ+lDvvSUeNwm1LNw7aHlbuEZXRrRLjFtmDSx4+afR5QQajqPJGop4ZYxmbqrFxqZ0hpBZwHJE/XPG8dp2GMRqVDjpL59v8BqSOu1dj7qK1kUEiK8UvgGxY3IKGicqohRxzFmAPfoN3aTkQHXg0bNY3jndJ1PtRzmvlgd+9EHjOsHIPLm3IDnq1Ng71VHwZm6qxYTtDGgmOI/KJK57XrtMwRqMkM229fZqJwQgwAti5smuQFxMblvpDw0RyKu0gkxqaOAuwh2oyilUz6xv1fkR5EgEI9dgs58kpErwcjzFUOelA4pN2jMa40KOEAPSeJ40DxxH5hB6R8UiUPS3PuDK4POmoUbjy3jWBg6V6ZK4he6BhIjmVZGCqJNU3MyylQzVZjKLej0ee3hq4Law8LmEdVMN0XCFU8g5lcQ6SDzpmjEfzkNpaWpkhjRDSaER5ehN3YYbPeDSMp1G9Ztr8DGsSPPL01kiPJxoo6gfdE5NTiaGtkpkYzgKkR6WzvlHvRzk5iFpSF+Uh1ReyMay8UUhjNjOtGVF6POWEGtqMBKAcEEIajiaRwOXzTXSPJgWgYSZsO2aMR0vzwCwqUvI/a4YPG1rWKEQDRf0IkhEaJqKpxAOoEkMTZwHqj7fULKh87+bgrsQrr2ZJHRlMGl6RaZyjc2UXOu5aPcBbqeOu1fRWcoz5i9eht4aWVrXXJISQRoJxGPMJdZl4NIynUWkwvtbhzVAFdvT0Yv+WZogA3Tt70dI8BDt7d2dShx09vZEeTzRQ1BcGbExOx4zx6LhrNXp9edGbh0ikHFfq0cW4CPHIKg5Q1BK0t3YFt5leeVTa5Wo9QBvR0yUNr8g0zjF30doB7z4A9O5WzF20NtEzmN25BguWbUKfKppEMHPKGGbHS5F6eFl3dfdg2rwlFb+PjfheFxU+S9Io0NMoG7JuQ9LSZYpOw3gaAWbQ+dis6fjW+cfh9Td3obunFwqTqnr7TvP5rV3ZWYM9QS/1ZgGA1pZmek44gCcjz847HY/Nmu7U8+hc2YVp85bg8FkPYNq8Je5YwEv7wjJ9Y1B8jXKGJrKHtpBBvVceNqFV7URX1Fr93SHn9sqjvJSqoVHj8qThFZnGOcISRiRJJDG7cw1uW7qxX9HuU8VtSzdiduea2Ocg4dTzXQh7H8v1ZY36XhcRPkvSSNDTKH1q0Yakocs0Ag1lNPIIsih6ZPlijzugJXCZzfXnH4dVc04ua6Bw1mhAMsdVxSto2UNvn5ZdmlDql5KNb18xGXdAsNEorDwtwmbKmkRCvZi88vtXvxC4Paw8LpUEYi8C7ZPacM7xbf3PpEkE5xyfzBPPlSWfQVn3ospJPDx94YsLV9W1Hj29fZi7aG3/9zh9WaO+10WEz5I0EuUm9UhyitaG5Hks3zDL0/yubfWy9y7dsB1AZctsKk1tToqBq2k8K4mLctV9a9FXYrTt26246j66gcbhfzdsiywf1iR4OyB+ybCm8u7RUS7AUTNoTQIEhff3ZiWymsVp1IyHnSu7cM+KrgHeOfes6MLkw0YmNhzxnSsWnSu7MHfRWqdmSLt7ejG7cw2ubp8Yqy9r1Pe6iDCbFGkkTjpqVOCER7Ve1Y1MLfqDqGQtaeLFTvIcV7zYSUA+xvINYTQqNbjUiz5VHHfVz/uVuRFmc0diAAAgAElEQVTDmzHnjAmxBCVM0Zq7aC3XijcArirRlcRF2b4zeDATVk4GUm75WZDBKKrcoxrDdL2ynJWTv6LG0nAl81lL8xD0BMQAbAkJjE6ypd66Tlg8DwC4felGTD5sZKy+jJlMCSF5JCr2I6mMWvQHtUrWkvfYSQ2h2QUp2PXCP/u3fWcvOu6OF509TNHq7ul1bskSSZ/W4c2JymsFM84Vhzy6AEfJn6tLOtMgtcxnd5dkC4nZH3nsHRCfL6qcZEs9dZ19hjVhv73D5yG9jGpxMm6yXyGEBOH60h561qVPx4zxaC7xlG9uymcc1LzHTmoIo1G9vTGiiBP/BYhvUXV9kEcMSTu+rIIbV0slcVHKxb8Jw3VlIe+46s0WRZT85dEIFpc4A+9yXHXf2sB4ZFfdtzbkiMHQa9At6vmuvvF2X1nFd0t3TyyDkCvxtggh7pDGREfWRMV+JFVQOtZhXPG60BDL06LS3LtAHEWvY8b42G7nLg/y/BR16Ug5Old24csLV/UHf+7q7sGXbbDSsN/vsnU6aVyUSgxgeV8H7BJh711el4SEyV8ejWBxSSNuQhoGH5Hg95b6cX1wXddpHd7c/66W6/sZb4sQ4idqosOVtoLZ09Jn/uJ1gUu66h3TtRFpCE+jsDT3rhBnUOafeQOirdauD/IAd7OB1cKb5cp7fxeYPezKe38XekyRZi9GhCypCysHotcBk/hEvXcdM8ZjSIk4DRHk0gUYSMcbx1WyykaXFFc9IBuVjhnjUw/cmSaeXLRPasNjs6bj2Xmn47FZ06n4E0LKkgfP1kr0WxJNkScA80ZDGI1KDS6uEXdQ1j6prd8AFma1zsu6fxeXjtTKkBUUODaqHCjW7EUlA02XPa3yRNR7t/z5bSixy2G3AsufD87W5gphht4ix0Xh+0CCaJ/UhncftE+9qxHKDsonIaTAvBmyGiSsnJSnyBOAeaMhjEbAHoOLi3izbHG8XKICXeZp3b+LlmMXDVkeRfI04oC3fkS9dwuWbQrcFlbuAlGGXsZFIY3G7M41eOblN+pdjVCo5BNCikwlk8IkmiJPAOaNhohp5OHC4L8Uz/tpduca3L50Y39sr7B012GDPgHw2KzpWVY1VVyMn+KiIcvDZU+jpLGpwtIy59EAljei3ruwWCguyFgY5VLPMy5KtrS2NAcae1tb6IpfD36ybHCcK5dIEnOLEEL8sL9pTOLGwSPZ0zCeRoAbg/9SvNTQfoORR5CXS1Hc9Fy0HLt8b11dJ13Jkr5KDGBhSgGVhWREvXd59GZz2dDbCHz02EMSlZPs6FzZNWh5qWvcs6Kr7nELCSH5ZO6ZE9BcEnixeYhg7pkT6lSjwbiqq+cdxsFzg7KeRiIyBsCPABwME6/3JlX9toiMBLAQwDgAzwH4uKpuFxEB8G0ApwHYCeASVX3CnutiALPtqa9W1Vtt+fEAfgigBcCDAP5eVTXsGpX+2OHDmvDG226tK52/eB22vfFWaPbA0sFPUBa1ehtbKsFFy3HHjPEDMnQBpkNK+95WknHI1YCz5Tw90mLumRMCn41LykIeiHrvlj+/LTAj18wpY2pdzdi46LEYh6Jkjnzk6a2Jykk6+OVn/5ZmiLgRDFYQnQnZPxFWBPl3naK0MyS/zO5cgwXLNqFPFU0imDllDK5un1jRuTw9xX++808Y45RMzzljAjruXj0gy1tzk2DOGdRVSf6JszxtF4CvqOoTIrIfgBUi8jCASwD8QlXnicgsALMAfBXAqQCOtH9TANwAYIo1AM0BMBlGr1ghIousEegGAJcBWApjNDoFwEP2nEHXqAjXDEYAyqbHLR38uGhsqRQnl46UGm4ycLKoxAAUFkA0i8CiSRTNWnl6FEnu603Yezf5sJH4ydKNAzL7DbHlrpJHI7rnnefVOWwpch4I679cTvued0rlx6VYcHHmMDx5L4L8u0yR2pkiMQQYlD3XKy8aszvXDJiI6lPt/16J4ahzZRfuWdHV75Xep4p7VnRh8mEjnZFp6qqkyJQ1GqnqCwBesJ9fE5GnALQBOAvAB+1utwJ4FMagcxaAH6mqAlgqIq0icojd92FV3QYA1vB0iog8CuAdqvobW/4jAO0wRqOwazQEguDMak4aWwrA/MXrBswOAEBvn6buNVMJ+4es5d4/5eVZnSu7Bnj0dHX3oOOu1QCCFc1aenrctXxj/7W6untw1/KNdX8ueSRs5m/+4nWDlNndgBPyH0YeFbRaeeeRYhKVDCMPNIlUJf/0nokH2xk3CQuHXMQwyVHJNSoxGlGm3aNW7XGaHmv1ZIggcBn5EHejQAwgUSBsERkHYBKAZQDeaQ1KUNUXROQgu1sbAH9LsdmWRZVvDihHxDVK63UZjKcSxo4dO2CbX6DzxoVTx7IhzIggmXE5PkpvX7BKEVZeKXMXrR2wBAwAencr5i5aGyiLtfL0uPAHv8FjfxyY+v2xP27DhT/4DW6/9MRUrxVEVBuTJ6Jm/rL0GhnWJHi7b3BPGVYe5zgPV43oYTLjcjtD6kucdibPctLS3BRq8Irzu+g9Mxi2MyQJtdRl0k7gkgeZTjrxmgfCZKZW7XHaHmv1JCzuoOvxCD1ie0SKyL4A7gHwRVV9NWrXgDKtoDw2qnqTqk5W1cmjRu3JztG5sgtfvnNVf5DePDFEgNuXbsS0eUsYODIDgmSm0kDYnSu7MG3eEhw+64HMnlfY0sq0l1yGLXUIK69VWvNSg1G58rQJa2PyRtTMX5aBsEs9+MqVe2iIchlW7hJhMuNywH1SX+K0M3mVEwFwzvFt/RljS4nzu6I8DRoVtjMkCbXUZcJUh0pVijDP+rQ97qshauI1r4TJTK3a49sDYm1GlZPsiGU0EpFmGIPR7ap6ry1+yS47g/3/si3fDMAfOfVQAFvKlB8aUB51jVj8472/y431rpTdiv5sVF9auAqzO9fUu0qFJywdcFSa4EqyhxUNZjXIhiyMkVEzf2nPCvoJO0O5M/eGONKFleeBjhnjAzPAuByHibhDUAZElwgbDypMgPRqMqfmwdPAFSrRZwhJk5ahwUPMsPJyvL0reJI0rLweJJ14zTO1ao8r1R9J+pR9c202tJsBPKWq/+bbtAjAxfbzxQB+5iv/lBimAthhl5gtBnCyiIwQkREATgaw2G57TUSm2mt9quRcQdeIxc48jyx8KIxFtWiGiFp46CRh4W+DrdZh5UDxZj5rkS40bFCRkyW9NaEexkimiq0hNQi4T4qJ37vTRaIU+S3dPVV5p7rqPeOaLgMwsyGpPz0hY7Cw8nKEjemKMtbLG662xyQ74ph7pwH4JIDpIrLK/p0GYB6Aj4jIMwA+Yr8DJvvZBgDrAfwAwOcBwAbA/hcAj9u/r3lBsQF8DsB/2GP+CBMEGxHXaDgUyK0hIggXPXQq8WooWvagOWdMQHNTiRdEyulCK5k1aA5pqcLK8049jJGvvxk8ExZWTiojKuA+IXFon9SWS880bzBRqXdqNV5KWeGiLgPQK4vUnzwsJyOV42J7TLIlTva0XyN8HvRDAfsrgC+EnOsWALcElC8H8GcB5a8EXaPIjBjejO07gwdpRersmQXBTVzNRjX/vOPwxYWrAsuLSFbGSEGwcU5QzKVgLsLBHKmWzpVdge2hKwxvHgKFpJ4gwcX+yVVdppaZTQkJIu2YRnsNHYK3dg1WSPaqcLkbqY72SW24a/nGAbFF3zd2/7qPF0h2JMqeRrLnzYhUukXq7DlwchcXs1G5OFjIkiaRwFhCYeVx4drw+tMaMjHQymWAJCZX3L263lWIxFsu4rVXbSm21671T67qMicdNWpAxiF/OSG1IGwCPKy8HG8HGIyiykm2zO5cE5jVeHbnmtxlNSPxoNHIMXp6d2MIgNImsGguf5wFI0lxbbCQJVkGpSb1hcsASbW8XSbroCv0qfbrLkVtu13VZe5avjm0nAM6EkTnyi6nJ+byMOkVNeFXNG5fFpLVbNlGtjEFhT59DrIbQGtLc+ZpzOsJ18IWh6RBQBkIuzxNITcjrLyo7DMsOEtUWHke4DJA0kjkOTFEHFzVZYKW8USVk8bG1dhceWPmlDGJyuPiYrD9sDlMzm0WF3oaOcqOnl6smnNyvauRGY223KioeIqGF9PBUzQAhD7LC6eODXSbv3Dq2OwqmjPCHAly4mCQGnlIsUsIiabeS7WyhLoMKQKuxubKG1e3T8SzW18fsGxr2hEjq/K86VzZhY67V/cn0Ojq7kGHXaLMZ0NqSWGNRhf+4Df1rkJV1Nu1uRY00nKjolKJouF1nguWbUKfKppEMHPKGLqzkkHQK4eQgbgww5yUousz1GVIXIYIsDtg8mdInb2IXY3NlTc6V3bhiY07BpQ9sXEHOld2VdxGXHXf2sCMq1fdt5btDqkphV2eVhqcy1WCOgoXXJsJiUOlisbkw0bi4P33hgA4eP+9MfmwkRnUzn1cdDkmhLiLi0u9Lpo6Fm3WMFSq0lCfIWQPQQajqPJaEWbYLbrBN22iJlIrJe2A4oRUSmE9jfLChmtPdz74HCFhVJIJqpIlbXkl6t2Oug+EEBJEUNDlerLX0CEDvESpzxASTltI4PS2OhtnOmaMH6CPADT4VgI9tkiRodGojngzcnRtJuWYdsTIQO+5aUfU10OnkkB4jbJ2vpxxLIsZKUJIsRG4lS2oNLAy9RlCwumYMR4dd61Gr8+1qHmI1N040z6pDcuf3zYgbMA5x/NdTkoW2RRbW5rR3RMwOdsSPjlLSBYUdnlaHnBJ8SOVETY7lPas0e2XnjjIQDTtiJG4/dITU71OUnYEdGRR5UDjzMSUMwo1yn0ghKQH9QZC8k1pSD4XQvR1ruzCPSu6+tPF96ninhVdXDKfkI4Z49FcEnekWqPg3DMnBJ5z7pkTKj4nIZVAo1Edqbc7Kqmek44alai8Gs6bbOJGCIzsnDe5/tnGKlkHX7S182FxicoZhYp2HwghjQdnuwmJz1X3rUVfSQCjvt0mqHE9oedzipQGdqsyyHn7pDbMP+/YAfr//POOrbsXWFjbzz4hnDBRqHMc/NjQaFRHsjAskNryyNNbE5VXirfUqau7B4o9S53qPQvUMWM8WpqbBpSVWwdfyTGuEvVcyhmFinQfCCHFJCqrE2e7CUmGq0GN6fmcDvMXrwvMdFat8a19UhsemzUdz847HY/Nml53gxFAD6hKuHBq8GR/WLlr0GhUR9I2LJDaU6uO1tVZoPZJbbj27IkDZkCuPXtiZIdWyTGuEvVcyhmFinQfCCHFZLdiUDsGmNlkF2a7CSHVQ8/ndGgk45urHlAuc3X7RFw0dSyaxBjbmkRw0dSxA5JJuAwDYdeRIjYijUYWQe+CcLkjqiTwaVGCpUY9F+/3RWUSqvV9aBLpj1kQpzwt9hnWhDfe7otdTghxh2vPnsiMaISkgKtBjU86ahRuW7oxsJzEp1ZjAlcoii5fS65un5gbI1Ep9DRKmeYmGeSuF0ZUIxIWJ4W4Ra2WGHEWyE1ah4es6bbllboUZ7XueeaUMaHlw5qCz+6VDw1p14YOEYwIuQ9e+TUfm4imkuObhgiu+Vg+O05STFyON9C5sgvHXfXzml+3taXZyaURhCRhr6HBw52w8qxwdUlPrUItFB2GHSBFhkajFNlnWBPmn3vsIHe9i6aOTdSIuBq/hgymVkuM2BG5SZhzTrVOO2F6bLX6bZRr7Nt9wZX2yr953rGB8R2/ed6xmHPGBDSXGJ2amwRzzjCKcPukNvxrSbv4r9aN2eWBehZEGd/yRhqBMEuzQpYrzxJX4w14OkGQh0KWuDCYJSQNvnHOMYPicw0RU15LXF3S47I3e55g2IH0kRDVKKy8ElzSQ1ymsMvTLpo6NtDVMi2mHTESSzdsR58qmkQwc8qYAe5mpQ3E5MNGxnbvjoqTwoYnO0YMbw4MRhjmReGR1D1TJNioENUAxlnqRGrPjpBBXFh5XHpDcvCGlSehUtfYODKYtnyGteMX5SRoYBD77jU0cPC/7175647nnjkBHXetRq8vG1BSQ8Ptl56IC3/wGzz2x239ZdOOGInbLz0x1brGwXsvFizbFNq314Or7ls7SCfImjb2MaRAuKRDubikJw/LqirRneuBi883z2Q1OevnuVeCjaNh5Y1K/rTUmJQqf0PEuKG+2bsbachZUoU2SSNCi399mHPGBHTcvXpA5gO/t0RaVNoAsiNyj3ooWsOaJNArKGx5WVziGE2jZDBqm+cp4Q18Pe9JAKHtscLdQXw1hHmL1NqLJI3YGmkNxOphIArDtXgDnSu7ap5Zqa21BY/Nml7TaxKSNdShwumYMX5AHw24581+4ZTgSaQLp+R3EomUpxZxwIL0+KjyRqWwRiMgXPmbNm9JVYKwz7DBmUTSJA8W/yJSq5moqGDEJF9kpWhFBY6+5mMT8aWFqwYYWwTAdeceW9U1szSaVpP9z7VBfLWk8f4fedA+eOblNwLL4/LRYw8JVMA/euwhsc8BcCCWNVlmyNxnWBN2K5weKBJCssclT6wwijiJRMrT2xfsYh9WXgkcl8Wj0EajMIIGenERIPPgrXmw+BeVWgyAwrJUZZm9imRDVopWc9MQAIPbp+amIWWv2dI8BD0B69hamqMDImWpNNJ7cg9pvP873w5WlsLKg2Dg03yQ1TvS0tzUr8u4PFAkhNSGPEwAFG0SiZQnLMNumpl3OS6LR0MajfyDoyQeR60tzZh75oTMG9U8WPxJ5bSFeJK10ZMsl2ShaJWLlRR1zTdDAh+FlfvJSmmM8p58ccebDTXDk8b7n4YRrmiGvKLOFIa9O3G5/vzj0D6pDZ0ru0J1CuoWxYN6BiGExIPtZTwaNnual0I2bhyQttYWrJpzcs2UK6a4LS7MhEbKEbYUNc4S1WqOzYoomZ85ZUzgMWHleSeN9z+NZ+yinFRDUeUoSF7i0tbaMsAwRJ2icaCeQepNmHdzOa/nWhKW6KZcAhxSO9LI0lqOorWXWcm1O29uCCJyioisE5H1IjIr7fNfd+7gNNKl5FlwiHvUKiVnWIapPGeeahSq6cBc7PyiZP7q9om4aOrYfo+QJhFcNHVsYV3Q03j/03jGLspJNRRVjkrlpbWlGc0xJrvy/CxJ9biS+pt6SONy7dnHDBpkDrHlrjDnjAmD2tMsEuCQypl75gQ0Dyl5RgmztJbDlfYyLbKSa6eXp4lIE4DvAfgIgM0AHheRRar6ZFrXCFoKdtJRo/DI01u5NIxkRi3WjjNoYH6pZomqq8tbo2S+0eIUVPv+p/GMXZWTaiiqHJXKS9BSM6BYz5JUjwsxaqiHNC556GPyUMdGp1bPyIX2Mi2yumeiDgd5EpETAcxV1Rn2+5UAoKrXhh0zefJkXb58eY1qSLJCRFao6uRaXIsyUwxqJTOUl+JAmSFJYL9EkkKZIUlhv0SSQpkhSahUXlxfntYGYJPv+2ZbNgARuUxElovI8q1bmfmFlIcyQ5JAeSFJocyQpFBmSFIoMyQJlBeSFMoM8XDdaBS0cH+Qa5Sq3qSqk1V18qhRo2pQLZJ3KDMkCZQXkhTKDEkKZYYkhTJDkkB5IUmhzBAP141GmwH4U58cCmBLnepCCCGEEEIIIYQQ0jC4bjR6HMCRInK4iAwDcAGARXWuEyGEEEIIIYQQQkjhcToQNgCIyGkArgfQBOAWVb2mzP5bATxfi7pFcCCAP9W5Dn5cqk/cuhymqjXxgwyRGZfuWb3I2z2oicxEtDF5u1/1wqX7RJmJD+ta/37JdfIkI6UUWWby/FyywPX7wX6pPKzjQCgz6VGk3wIE/56K5MV5o1EeEZHltcqWEQeX6uNSXaLISz2zhPcgGbxf8eB92kOe7gXrSsqR5/ue57qXo8i/rRJ4P6LJw/1hHd2iSL+1SL8FSPf3uL48jRBCCCGEEEIIIYTUARqNCCGEEEIIIYQQQsggaDTKhpvqXYESXKqPS3WJIi/1zBLeg2TwfsWD92kPeboXrCspR57ve57rXo4i/7ZK4P2IJg/3h3V0iyL91iL9FiDF38OYRoQQQgghhBBCCCFkEPQ0IoQQQgghhBBCCCGDoNGoAkTkFhF5WUR+7ysbKSIPi8gz9v8IWy4i8h0RWS8ivxOR96VclzEi8oiIPCUia0Xk7+tcn71F5LcistrW5ypbfriILLP1WSgiw2z5Xvb7ert9XJr1qQQROUVE1tk6zap3fWqNiDwnImtEZJWILK93fVyn0eUljCTtZNEpJyMutINhfUnJPh8UkR22bVglIv9c63r66hLZTmXd1zUCaeoXInKx3f8ZEbm4hr+hSURWisj99ntiXURErrTl60RkRq3qXi3sm/YQp30j7stMnp5jadtTVFyXmbjkSbbikroMqir/Ev4B+ACA9wH4va/sOgCz7OdZAL5hP58G4CEAAmAqgGUp1+UQAO+zn/cD8AcAR9exPgJgX/u5GcAye507AVxgy28E8Dn7+fMAbrSfLwCwsM7PtgnAHwG8C8AwAKsBHF1vmavxPXgOwIH1rkce/igvkfcmdjtZ5L84MuJCOxjWl5Ts80EA99f7ntq6RLZTWfd1jfCXln4BYCSADfb/CPt5RI1+w5cB/MST26S6iP29qwHsBeBw+y431fvZxPjd7JsG3o+y7Vuj/+VBZvL0HEvbniL+5UFmEvyW3MhWgt+UqgzS06gCVPWXALaVFJ8F4Fb7+VYA7b7yH6lhKYBWETkkxbq8oKpP2M+vAXgKQFsd66Oq+rr92mz/FMB0AHeH1Mer590APiQiklZ9KuAEAOtVdYOqvg3gDpg6EhIE5SWEhO1kkYkjI3VvByP6krySaV/XCKSoX8wA8LCqblPV7QAeBnBK1vUXkUMBnA7gP+x3QXJd5CwAd6jqW6r6LID1MO+067Bv8lHA9i0LnJeZvDzH0ranwDgvM3HJi2zFJQsZpNEoPd6pqi8ARvAAHGTL2wBs8u23GRkJoXWnngTj3VO3+lh3uFUAXoZRDv8IoFtVdwVcs78+dvsOAAekWZ+E1Ox5OYwC+LmIrBCRy+pdGcehvCQjrF0qMnFkxKl2sKQvKeVEMcuPHxKRCTWt2EDKtVN8N1OkSv2iXs/iegBXANhtvx+A5LpIXuUor/XOnDLtWyOTK5lx/DmWtj1FJVcyExfHZSsuqcsgjUbZEzRbnHrKOhHZF8A9AL6oqq/Wsz6q2qeqxwE4FMYK/d6Ia9bk/iTAtfrUg2mq+j4ApwL4goh8oN4VchjKCylHHBlxRo7K9CVPADhMVY8F8P8AdNa6fj7KtVPO3NO8k4J+UfNnISIfBfCyqq7wF0fUw5m6p0Re650pCWS5EcmNzLj8HEPanqKSG5mJi8uyFZesZJBGo/R4yXN9t/9ftuWbAYzx7XcogC1pXlhEmmEE/HZVvbfe9fFQ1W4Aj8LENmgVkaEB1+yvj92+PwYvaaklNbs/rqKqW+z/lwH8FPlwxa8XDS8vCQlrl4pMHBlxoh0M6Uv6UdVXveXHqvoggGYRObDG1fTqUq6d4ruZAinpF/V4FtMAnCkiz8EsmZgOM/OaVBfJqxzltd6ZUa59I/mQmRw8x0Ftj4jcVt8qZUYuZCYuOZCtuGQigzQapcciAF5GkIsB/MxX/imTVESmAtjhuXWngV1zfzOAp1T13xyozygRabWfWwB8GGZd6CMAzg2pj1fPcwEsURu9q048DuBIMRlWhsEExFxUx/rUFBHZR0T28z4DOBnA76OPamgaWl4qIKxdKjJxZKTu7WBEX+Lf52Av1pKInACjQ7xSu1r21yNOO5VpX9cIpKhfLAZwsoiMEJNp7WRblhmqeqWqHqqq42DeuSWqeiGS6yKLAFwgJrva4QCOBPDbLOueEuybfMRp34j7MpOH5xjS9lxU52plhfMyE5c8yFZcspLBoeV3IaWIyAKYLDIHishmAHMAzANwp4h8BsBGAOfZ3R+EySiyHsBOAH+dcnWmAfgkgDU2jhAA/GMd63MIgFtFpAlmQHGnqt4vIk8CuENErgawEubFhP3/YxFZDzOrd0HK9UmEqu4SkcthFNomALeo6tp61qnGvBPAT+24cCiAn6jqf9W3Su5CeQknYTtZWMJkRES+BmC5qi6CG+1gWF8yFgBU9UaYwfTnRGQXgB6YLFT1MPIHtlMi8llfXbPu6xqBVPQLVd0mIv8CM8AAgK+par08ir+KBLqIfVfvBPAkgF0AvqCqfbWvdjLYNw0iUJatxyRBbmSGz9EhciIzcaFslUHq69RBCCGEEEIIIYQQQlyEy9MIKRgicomI/Nr3/XUReVfE/mtF5IM1qRxxEhEZa+Wkqd51AQARURF5d73rQSqjXJtDGovSPilivw9ar0RCKkZEXhSRv6hzHe4Qkdn1rANxCxEZZ3UbrvKpABG5UUT+qd71aGRoNMoQEXlORD6c8JjAwZJdL7pbRL6fXg1JrRGRT4jIcjuoekFM2upMlRtV3VdVN9jr/9C65fu3T1DVR6u9joh0iMjvReQ1EXlWRDqqPWejYduMHisf3t93yxxT9UBLVTdaOalo2YWIXCwm9fmrIrJZRK6jYlQbSmRmu4g8ICJjyh+Z6BpzpSSIoog8KiJvlsjqicDANifGuc8SkVVWdv4kIr8Qk+7Wu25vyTWusNs+LiL/KyI7ReTRNH8vAcTE8LlZRJ63bfpKETk1pXOriLzhe6bdCY79C/vcd4jINhF5TET+3G67RET6krSfjUrJPdpd0u9cWObYU8Qs4/OXzfO9q90i8msRmZxh/VttnVMNVmvl/msi8oxtWzaLyP0iMj3N6xQdEblARJbZ9/xl+/nzIhKUbauuiMgJIvKgldttIvJbEeFy5hpi9Zi3pSSxhtUNVETGqepnVfVfqrhGJv2D1YX+ptrz5AEajfLDpwBshw3IGLYTB2ruIiJfhsne8nWYmBxjAXwfwFn1rFeKCIycjgBwCoDLRaSuMapyyhl20O39XZ7lxaptM+zxw6sD0TAAACAASURBVAF8EcCBAKYA+BCAf6i+diQmZ6jqvjAx5V4C8P9qdN3LS2T1N0kOFjNB8iMAX4HJVnU4TJu427fbwpJrXGfLt8G0p/Oq/xkkgKEANgH4K5hn808wcYzGpXT+Y33PtLXcziIyVETeAeB+GPkeCaANwFUA3vLt+ptatp95xX+PYOJS+fud2ys87a32fKMALAWwMK36BnA+TNys00XkgDROaA0ai2ACtc+EkfsjANwA4PSQY6hzlyAiXwHwbQDzARwMo+9+FiZmzLCE58r0/tqJjiUA/gfAuwEcAOBzAFIxkJNEPAvz3gEARGQigJaUr+Fc/5CnNoRGozogIpeKyHpr0V4kIqNt+S/tLqutBfR832GfAjAbQC+AM0rOpyLyBRF5BsAztuwoEXnYXmOdiHzct//pdtbwVRHZJCJzM/y5BICI7A/gazBBNO9V1TdUtVdV71PVDju7db2IbLF/13vGQbGeJCLyFTtj84J/FkREDrBy9KqI/BZGyfFfW0Xk3SJyGYALAVxh5es+u73fI66aeqjqdar6hKruUtV1MFlppmV6YxsEEblBRO72ff+GGI+MfQA8BGC0b+ZktIgMEZFZIvJHEXlFRO4UkZH2WM9F+jMishHAEilxm7bnWGTbj/Uicqnv2nNF5G4RuU1EXgVwiareoKq/UtW3VbULwO3wPXsrY/8gIr8T4yGwUET29m3vsPK0RUQ+nfX9LCqq+iaAuwEcDQAicpqIPCnGU6RLRP7Blnvv8hW+d7nd7v8H+9z/0e57Ckzw4/OtfK0uVw/xecyK8W78nhgPqNfEzDh7bdRxAJ5V1V+o4TVVvUdVN8b4rf+tqncix+l9Xcb2UXNV9TlV3a2q98Mo9cdX2yfFxbYbXxWR3wF4A8B7bN0WqGqfqvao6s9V9Xcp/GTiQ0Ra7Hv7gn3W80WkWYyB5qcA3uXrcwYYbVS1F8BP7D5elsNTbF8yW4xHYZdtb87y9VNf8V1/muzRU18UkWtLqngxjNH4j/ANNH28X0Setm3ZTT49ZoP4VgBYnWeHiBwNYxh6P4CzVHW51dHeUtUHVNVftxdtf7YWwKu27AQRWW3buNuQ0DhSFGSPrvt5Vb3btumqqitV9UJVfUsixiBB+oktv8ve9x0i8ksRmeA75gARuc+e73ERuVoGhmgIHQ/BGLZuVdVvqOqfbF1XqKp/zBQ4ZrPbVEQ+K8Yzbbt9Z7wMo00i8k0r7xsQYngk/fwYZqzrcTHMpBKAgSslRORAMR6AnnfYr0RkiN02RkTuFZGttl0p601k24FvishGEXlJzFK4FrtthL3WVvuM7xeRQ+22awD8JYDv2rbwuxKwDFF83khiPJ4eE5Fvicg2AHNt+adF5Cl7jcUiclhVdzMDaDSqMWJcXK8F8HGYWeHnAdwBAKr6AbubNwO30B7zlwAOtfvdiYEvlUc7zAz/0WIGkg/DdNoHwXSo3/c1sm/Yc7TCNGKfE5H2lH8qGciJAPaGUbaC+L8ApsIMoo4FcAKMkdDjYJhZrzYAnwHwPTGpiwHgewDehJGnT9u/QajqTTCD+eusfJ0RsFs19ejHdpp/CSCvWRRc4ysAjrGdzV/C3PuLVfUNmBmxLb6Zky0A/g6mTfgrAKNhvBS/V3LOvwLwXgAzAq63AMBme+y5AL4uIh/ybT8LxjjRCiNTpXwAg5/9x2E80A4HcAyAS4B+o8Q/APgITDrrREt6yR5EZDjMDPxSW3QzgL9V1f0A/BmsAm45GKZNagPwzwB+AOAiAMfDvLv/LCLvUpM98evY4/FzbAVVmwnjETICJrPWNbb8CQBHWeXpJBHZt4JzkxogIu+EMdp473XVfVJMZsLoKa0A/gCgT0RuFZFTg/oekhpXwbTTE2HahA8CuEJVXwHwMQAbfH3OK/4DrYHmkwBeBPC6b9NhMBOfB8N4CN4C078cA9PuXyMibXbf7wL4uqq+A6Zf6PSd/0gYPeUnMP1PkE48E8B0AOMBTALgLZe/AwONTB+FMVw/aevwmKq+FOP+nA/TZx0gZgKkE8C/w3jAPQTgzBjnKCInAtgLZtIwjDhjkFL95CEYOTgIpt/w6x3fs+c8GMbQcLG3IWo8ZPvLE2F0mUCixmw+Pgrgz2F05o/76nyp3TYJwGQYWSfhLAXwDhF5r5j4mucDuC1k36/A6KijYDzZ/hGA2uPuh3lO42D6p9LnFcQ3YPq342A8zjy9CDC2kv+Eab/GwmSO/S4AqOr/BfAr7PG6juu5NAXABhiZvMbK/z8CONv+pl/B6OFuoar8y+gPwHMAPlxSdjPMoN37vi9MJzrOflcA7y455j8AdNrPJ9r9D/JtVwDTfd/PB/CrknP8O4A5IfW8HsC36n2/ivwH4+HzYsT2PwI4zfd9BoDn7OcPwjRSQ33bX4ZRmpqsPBzl2/Z1AL8ukY93288/BHB1ybX75bTSegT8nqsArAawV73vfZ7+7LN4HUC37+9Su+0EmCU5zwOY6TvmgwA2l5znKQAf8n0/xMrJUJiOVAG8y7fdKxsKYAyAPgD7+bZfC+CH9vNcAL+M+A1/DdOZH1jyuy7yfb8OwI328y0A5vm2vQcB7SD/YsnMLhjPm4l220YAfwvgHSXHeO9yk/2+n73nU3z7rADQ7nvmt5Wc41GY5SGenD7h21ba5vyHb9tpAJ72fZ8KMxmyFcbQ8EMA+/qu+3bJ+zC6pB5/A+DRej+HIv8BaAbw3wD+vUR+qumTXvU90+/4zrvZt99zAD5dUpf3WhnZbOV9EYB32m2X2DK/vAzqn/g36Pk+h8G6ahcG6pVnee8tjPF/fcn+82CWCXbD9B8vA5jm234KgB0Ahtjvo6wcHOvbZy2AU+zn38JMYh0QUN+rASy1nw+HWc76Xt/2F2E8YL3vZwNYaz9PgJlEGWa/3wNjDAPMAPWHvuNG29+zA0B3yfk/4ft+MozhyV/HJwDMrvezrYMsXYQSXRfA/9r72APgAwHH9I9BEKCfBOzfavfZ39fejC+Rj1/bz6HjIRjDgMLXVgVcK86Y7S982+8EMMt+XgLgsyVyovC1m/zrvzfPwRhtZ8Pom6fAGPuG2ns2Dr7xC4w3288weLx8IowuMegeI6R/gAmt8QaAI0rO82xIXY8DsN33/VEAf+P77snw0KB9bD02lpzzIQCf8X0fAqNfHVbvZ+P/o6dR7RkNM+gDAKjq6wBegWm8BmHd486DtaqriRmxEcAnSnbd5Pt8GIAp1m2vW0yQyQthrPAQkSki8oh1tdsBs9b4QJAseQXAgRK+dnWAXNjPo33fX1HVXb7vO2E6r1HYE3vCf2ylVFqPfkTkcphZpNNV1R9rgsSjXVVbfX8/AABV/S3MzITAKCZRHAbgp773/ykYRf6dvn02BR5pnvc2VX3NV/Y8BrZRgcfa2ZJ5AE5V1T+VbH7R99kvN6ORnvw2Ku1q4sLsBeByAP8jIgcDOAfGSPO8iPyP2EDVlld0T+DzHvvfP8Peg5J3O4C/88np+yL2C3v2UNWlqvpxVR0F4+H0AZjBosedJe8Dl6PVEOvy/2MY451/FrXaPul9vmf6dxFVGNDWqOpTqnqJqh4K4z03GmbQ6bG0RF6WgiTCegofjMG6QKCe6uPHth06BGYC6riS7VtV1YtXVq7NuRjGA+kPYpa0zvDV7ZPYoxM/C+OhcHHJtUrlb7Tdf63ddqqYGFmnYs+M/iu27rD7brG/ZxqMV2bY+UfDGDH9NGo/NkjXVdX32/v4CoAhMccg/ffXLvOaJ2YZ46swBgbYY4Lam7jjoe0wBsdDEE6cMRt1m/T4Mcz49hL4lqYFMB/Ga/nnYpaczrLlYwA8X9I3+QnqH0bBxOVc4ZOR/7LlEJHhIvLvYpJCvArglwBapbpsw6U69GEAvu27/jYYXb9cm1tTaDSqPVtghANAv+vkATCzOkF8DMA7YNwpXxSRF2GEqNQdV32fNwH4n5IXY19V/Zzd/hOY2bkxqro/gBthhJNkx29gZtHDlgEOkAsYF8g4g6OtMJZzf7aksRH7a8S2auoBwKzJBTALxsuFqZNTRES+AGMU2ALgCt+moGe6CcZw428D9lYTbyjqONjzjxQbi8IyFgPbqEHH2mVmP4AJqLqm/C/q5wXEl18SgZo4L/fCGAj/QlUfV9WzYFygO1He2Bh66rTqGHkR1ccB3AtjDCB1xg7Qb4YxNp+jJlZNOZL2SeUIlT1VfRpm9pnykiJqprpfxGBdwOsDItsDVX0ZxsPxWinJhpSgDk+p6vkwbdd3ANwrIsMAnGTrMtenEx8L4CJr4PQolT+/HrMAZpnSOQAeV1VvAPcLmFhI/smV0Cr6Pr8AE0LCT6P2Y7+B8TiLSvASZwziv7+fsOf7MIx30ThbLtjT3vjvv//Zh46HVHWnre85EXVNOmbzQ90mIar6PEzsvNNgdIGw/V5T1a+o6rtg4vx+2YZQ2ARgbMQEfRB/gjFYT/DJyP5qgvoDZinceBhP7HfATGwBe2S2tD18w/4f7is7uPQnlHzfBBNKwC+nLar6vwl+R+bQaJQ9zSKyt/cHo7T/tYgcZ9d9fx3AMlV9zu7/EoB3+Y6/GGb5xkSYWZvjYGY9jhMTWT6I+wG8R0Q+KSZwYbOI/LmIvNdu3w/Gk+BNETkBg72WSMqo6g6Y9bHfExNwdrh9LqeKyHUwSsxsERlllax/RvhaXv95+2Aa1rn2nEdj8Iybn1L5KqWiegCAmDS9XwfwEY2ZbpvEQ0TeA+NyfRHMLOsVIuLN4r4EE1dhf98hN8Kskz7MHj9KRGJl6bMK9P/CKPx7i8gxMDFLQjPq2HX/t8MMLH+b7NfhTgCXiMjRNsbAnITHE4sYzoKJHfSMiFwoIvvbwf6rMMakSngJwLiSQVnViEmffqmIHGS/HwUTC6Ssd4idfd4bZpZ5iJXV5jTrR3ADzHKwM1S1p9zOQEV9UmzEBLT9iuwJQjoGZvBPb6L0WQBgjpggwwfBeP95usBLAA6SiBhkaoKT/xJmwJUYEfmUiBxg5WkHzCBrN4ws3Q+zzMzTiY+FiSXkj7v3dyJyiNVjZmFgJrcFMLFm/gbGgOFxP4BlAH4mIpOtjjYMJv5IFL8EsLeYgMhDRWQmjJdUw6Gq3TDhCb4vIueKyL5iEnMcB2Afu1vSMch+MIaoV2AG4l/3Xa+0vTkKAyfVy42HroDRPzrEBnQXkWNFxIuD8xNEj9miuBNGDg8VE39tVrkDCACjb05XE7MzEBH5qJgEP4I9uk0fzLLWFwDME5F9rF4QmZDHej/+AMC3fLpIm1jvRhj56wHQLSahTKmOOmBcpapbYYyKF1k95dMonwziRgBXio09LCL7i8h5ZY6pOTQaZc+DMMLm/f0lTOrae2AE+wgA/rTkcwHcKsZF7WKYTvB6VX3R97cCxnUuUBGzy0pOtufdAjNj9A0YLwUA+DyAr4nIazBGgUpnn0kCVPXfAHwZZs3uVhjL8uUwHgBXA1gO4HcA1sCsh7865qkvh3GHfRFm1vU/I/a9GSZYereIdAZsr6YeV8PMwDwue7Kq3BjzWLKH+3z373UR+SmMsv4NVV2tqs/ABMz7sYjsZWfbFwDYYJ/raJh0t4tgXHdfgxlUlVN8/cyEmc3bAhO8fY6qPhyx/z/BzAA+6Kv3Q3EupKoPwSwvWQLjbrwk+ggSwH0i8jqM8nQNTN/wFIyB8TkxLtWfhTE6VsJd9v8rIvJEtZX10Q1jJFpj6/9fMPJ2XYxjPwnTp94A06/2wCh+JAWswflvYQblL/re6wtjHJ6kT0rCazDt2DIReQOmXfs9KjRMkEj+GcCTMHGGVgF4DHvey9Uw/cvzts8ZGXKO+QC+ELE9io8CWGf7Ly8Q8d4wXiHfKdGJ18MEu/XrxHcAeAQmo/AaX91hB/yrYYIX3+Ur322v+98wRqYdMMvszobxfAjEGlQ/BqNbb4cJ7nxfBb+5EKjqdTC67hUwsa1egokj9FWYCamkY5AfwSzt6oKRyVIj8eUw+seLMMubFsAYmcqOh6wnx3T7t0FMNqubYMZuUNVfIHrMFsUPACyGkbUnEOE5Q/agqn9U1eVldjsS5j19HcZb7Puq+qg1Ip4BE8x6I8yy0fNDz7KHr8Lon0utvvTfMN5FgNFPW2A8kpbC6Cl+vg3gXDFZz75jyy6FCb7/CoyBO9JjSFV/CiOXd9jr/x5m6axTiPFCJYQQQgghhBBC8omIfAPAwaqaiocjIcRATyNCCCGEEEIIIbnCLls9xi7PPgFmedNP610vQopGkkBRhBBCCCGEEEKIC+wHsyRtNMxyuH+FScdOCEkRLk8jhBBCCCGEEEIIIYOItTxNRL4kImtF5PcissBGIz9cRJaJyDMistBmGICI7GW/r7fbx/nOc6UtX+eLSg4ROcWWrReRWb7ywGsQQgghhBBCCCGEkGwp62kkIm0Afg3gaFXtEZE7YaLKnwbgXlW9w2ZIWq2qN4jI5wEco6qfFZELAHxMVc8Xk3Z1AYATYFwI/xvAe+xl/gDgIzBRzh8HMFNVn7TXGnSNqPoeeOCBOm7cuEruBXGIFStW/ElVR9XiWpSZYlArmaG8FAfKDEkC+yWSFMoMSQr7JZIUygxJQqXyEjem0VAALSLSC2A4TNrB6QA+YbffCpMq/gYAZ9nPAHA3gO+KiNjyO1T1LQDPish6GAMSAKxX1Q0AICJ3ADhLRJ6KuEYo48aNw/Ll5TL1EdcRkedrdS3KTDGolcxQXooDZYYkgf0SSQplhiSF/RJJCmWGJKFSeSm7PE1VuwB8E8BGGGPRDgArAHSr6i6722YAbfZzG4BN9thddv8D/OUlx4SVHxBxjQGIyGUislxElm/durXcTyKEMkMSQXkhSaHMkKRQZkhSKDMkCZQXkhTKDPEoazQSkREwXkKHwywr2wfAqQG7euvcJGRbWuWDC1VvUtXJqjp51KiaeAGTnEOZIUmgvJCkUGZIUigzJCmUGZIEygtJCmWGeMQJhP1hAM+q6lZV7QVwL4D3A2gVEW9526EAttjPmwGMAQC7fX8A2/zlJceElf8p4hqEEEIIIYQQQgghJEPiGI02ApgqIsNtbKIPAXgSwCMAzrX7XAzgZ/bzIvsddvsSNdG2FwG4wGZXOxzAkQD+P3tnH2ZXVd3/75qbC5kgZBINSiYJQUhDiQECEULTWsFqkNcpFAGhovWl9ietiE5NLC2JDSRt2mptra0WFJSXQIAxCDZQg1oRIgmTEANEkLdkghBIBiEZYDJZvz/2PpNz75xz7jn3nnPvefl+nmeeuXff87LP2Wu/rb3W2r+ACXw9ze6Uth+ACwCstOf43YMQQgghhBBCCCGEJEjNQNiqukZEVgB4GMAeAL0AvgngLgA3i8him3aNPeUaAN+1ga53wCiBoKqb7G5oj9rrfEZVhwBARC4FsApACcC1qrrJXuuLPveIlZ7ePixbtRnb+gcwsaMd3fOmo2uWZ/gkQnID5Z40AuUn/bCMCKkf1p98wfIkWYWymx+yXJahdk9T1SsBXFmV/BT27X7mPvZ1AOf5XOcqAFd5pN8N4G6PdM97xElPbx8W3L4RA4NDAIC+/gEsuH0jAGSmEAmJCuWeNALlJ/2wjAipH9affMHyJFmFspsfsl6WYdzTcklPbx/mLl2Ny5avHy48h4HBISxbtblFOSMkeZat2ky5J3WTJvlx2vLD5t+FuUtXo6e3r+l5SCP1lBHfJSGGKPWH9Sb9pKnPIiQKlN38kPWyDGVplDeqNX1ebOsfaGKOCGkufT7y7ZdOiBu/9rHZ7WbWV22SJGoZ8V0Sso+w9Yf1JhtwzEOyCmU3P2S9LAtpaeSl6atmYkd7k3JDSPMpiURKJ8SNX/vY7HYz66s2SRK1jPguCdlH2PrDepMNOOYhWYWymx+yXpaFVBrVWg1vL5fQPW96k3JDSPMZUo2UToib7nnT0V4uVaS1ot1Mi8VTGolaRnyXhOwjbP1hvckGHPOQrELZzQ9ZL8tCKo2CVsM7O9qx5JyZNCsmuabTpw74pRPipmtWJ5acMxOdHe0QtK7dTIvFUxqJWkZ8l4TsI2z9Yb3JBhzzkKxC2c0PWS/LQsY06p43fURMo/ZyicoiUhj86gAt7EhYumZ1try9pBwHE6WM+C4JqSRM/WG9yQYsJ5JVKLv5IetlWUilkTMIWLZqM7b1D2BiRzu6501v+QSIkGbBOkDyAOU4PvguCYkO6002YDmRrELZzQ9ZL8tCKo2AdKySE9JKWAdIHqAcxwffJSHRYb3JBiwnklUou/khy2VZyJhGhBBCCCGEEEIIISQYKo0IIYQQQgghhBBCyAioNCKEEEIIIYQQQgghI6DSiBBCCCGEEEIIIYSMgEojQgghhBBCCCGEEDICKo0IIYQQQgghhBBCyAioNCKEEEIIIYQQQgghI6DSiBBCCCGEEEIIIYSMgEojQgghhBBCCCGEEDICKo0IIYQQQgghhBBCyAhGtToDaaentw/LVm3Gtv4BTOxoR/e86eia1dnqbBHSMJRt0giUn3TD8iEkGqwz+YblS7IKZTc/ZLksqTQKoKe3Dwtu34iBwSEAQF//ABbcvhEAMlPAhHhB2SaNQPlJNywfQqLBOpNvWL4kq1B280PWy7KQ7mk9vX2Yu3Q1Dpt/F+YuXY2e3j7P45at2jxcsA4Dg0NYtmpzM7JJSGJQtkkjJCE/YdtlUptGy4dlkS5YHsnDPjHfhC1f1jWSNtg25Yesl2UopZGIdIjIChF5XEQeE5GTRGS8iNwrIk/Y/+PssSIiXxORJ0XkERE5znWdS+zxT4jIJa7040Vkoz3nayIiNt3zHo3gaPn6+geg2Kfl8+oYtvUPeF7DL52QrNDnI8N+6YS4ibttjNIuk9o0Uj4si3TB8mgOHO/lmzDly7pG0gjH6/kh62UZ1tLoXwH8j6oeCeAYAI8BmA/gR6o6DcCP7HcA+CCAafbvUwC+ARgFEIArAZwI4AQAV7qUQN+wxzrnnWrT/e5RN1G0fBM72j2v4ZdOSFYoGb1s6HRC3MTdNmZ99SVtNFI+LIt0wfJoDhzv5Zsw5cu6RtIIx+v5IetlWVNpJCIHAXgPgGsAQFXfVNV+AGcDuM4edh2ALvv5bADXq+FBAB0icgiAeQDuVdUdqroTwL0ATrW/HaSqD6iqAri+6lpe96ibKKtJ3fOmo71cqkhrL5fQPW96o9kgpKUMqUZKJ8RN3G0jV/njpZHyYVmkC5ZHc+B4L9+EKV/WNZJGOF7PD1kvyzCBsN8JYDuAb4vIMQDWAfgsgLer6vMAoKrPi8jB9vhOAFtc52+1aUHpWz3SEXCPCkTkUzCWSpgyZUrgw0zsaPc0A/NahXCCUmU1yjnxJ4rM5JFOn3rQyVVVT4ouL9XE3TZGaZezgp/MNGPnjEbKJ49lkRW8ZCbv5ZGWnWSyOt5j3xSOMOUbpq6lRV7rhfKSPVo9XqfMxEery7JRwiiNRgE4DsBfquoaEflXBLuJedlYaR3poVHVbwL4JgDMnj078NyTj5yA7z34nGe6F12zOjPVIZBwRJGZPBK1HhSdosuLF3G2jXmURy+ZaebOGfWWT/e86RV5BGhx0Sy8ZCbP5ZG2nWSyON5j3xSeWuVbq66lTV7rgfKSPVo9PqLMxEery7JRwsQ02gpgq6qusd9XwCiRXrCuZbD/X3QdP9l1/iQA22qkT/JIR8A96ua+x7dHSickj7AekDRRFHnMQsyMrlmdWHLOTHR2tENgVsCWnDMzM5OivJHn8shCfSDFoVZdo7ySVlCU8VERyHpZ1rQ0UtXfiMgWEZmuqpsBvA/Ao/bvEgBL7f/v21NWArhURG6GCXr9inUtWwXgalfw6w8AWKCqO0TkVRGZA2ANgI8A+DfXtbzuUTf0WSaE9YCki6LIY1aeM4sWF3kmr+WRlfpAikNQXaO8klZAucsPWS/LMO5pAPCXAG4Qkf0APAXgYzBWSreIyMcBPAfgPHvs3QBOA/AkgN32WFjl0N8DeMge92VV3WE//wWA7wBoB/BD+wcYZZHXPerGz2e5vRx2IzlCsk/e42SQbFFLHrMeR8LB7znHtpcxd+nqpj1fXt5nUchaeYXNL/sh0kzCyGXQMZRX0good/kh62UZSlOiqutVdbaqHq2qXaq6U1VfVtX3qeo0+3+HPVZV9TOqeriqzlTVta7rXKuqR9i/b7vS16rqu+w5l9pd1OB3j0bonjcdbR5RlHYP7sUVPRsbvTwhmWDqW70bKL90QpLEz5/75CMnDMeR6OsfgGJfHIme3r7mZjIGvHbwKbcJdr25p2nPl6f3WQSyVl5R8ssdy0izCCOXtY6hvJJWwPF6fsh6WRbOvKZrVqdvlO2b1mzx+YWQfPHgUzsjpROSJEF+3nmKI+EVM+Mto0dhcKiyV0ry+fL0PotA1sorSn7zHK+JpIswclnrGMoraQUcr+eHrJdlWPe0XKE+WqMhvx8CyJrZOCGAv6zXUwdIfmlW+1aPn3dWfMCrqY6Zcdj8uzyPa/T5/Mou6z71RSNr5RU1v82I18RxGgkjl1mra6QYcLyeH7JeloWzNAKAknj4pwWk+5E1s3FCHPxEPWIVIDmmme2bnz/3xI72wN/yQBLPF1R2eX+feSNr5ZW2/HKcRoBwclnrGMoSaQUcr+eHrJdlIZVGF544OVK6H1kzGyfEoX2Ud9X3SyfFo5ntW1CsiLzHkUji+YLKLu/vM29krbzSll+O0wgQTi5rHUNZIq2A4/X8kPWyLKR72uKumQBMDKMhVZREcOGJk4fTw0JTVpJVBgb3RkonxaOZ7ZvjKhLkQpJX95Iwzx6VoLJL4n4kObJWXmnLL8dpBAgnl7WOoSyRVsDxen7IelkWUmkEGMVRVCVRNVnfOo8UF8ouqUWzZSQotkkz4p60krifr1bZ5f195o2slVea8su+jjiEkcugYyhLpBVQ7vJD1ssyG/ZQCdHT24e5S1fjsPl3ARDR3QAAIABJREFUYe7S1ZH9ktNmhk1IWLrnTUe5VOlEWy4JZZcM0+z2rdH2mOwjbNnxnWcDllP9cJxWDJpRRyhLpBVwvJ4fsl6WhbU0cgLaOf7JTkA7AKFXyNJmhk1IJKqD9WcjeD9pEs1s3+Joj8k+wpQd33k2YDk1Bsdp+adZdYSyRFoGx+v5IcNlWVilUVBAuygdQJrMsAkJy7JVmzG4t7KlGtyrkeWf5JtmtW9xtcdkH7XKju88G7CcGofjtHzTzDpCWSLNhuP1/JD1siyk0qint8/TpxBgQDtSDBjQkaSJIsljT29fKlaqi/TOs0zRyikt9YNkhzjrCOWPpI2i9QF5JutlWTilkWPG6ocCmLt0NTsKkmvGtpfRPzDomU7SS14HtEWRx57ePnSv2IDBIbPS1Nc/gO4VGwA039Uo6wEZi0KRyikuN6O8tpPEm7jqSBj5o2yRZlOU8VERyHpZFi4Q9sKVm0aYsVbjdBQMNknyyuCQ9/aOfumk9TgD2r7+ASjy1U6JREvPKovu3DSsMHIYHFIsunNTbPcIGxCWQV2zQfe86Si3VQXObMtO4MwoBLkZhSXP7WSRCWrX4mrLaskfZYu0Ao7X80PWy7JQSqOe3j5PDZ8XUQcqhGSJXW96K0790knriWNClVZ27vZul/3Ss0rSz+k1qbls+Xocu+ieERObrlmdWHLOTHR2tEMAdHa0Y8k5M7lqnkKqh5PZGF5GJw7T/Ty3k3mllqK7lrImrraslvxRtkgr4Hg9P2S9LAvlnha1Yc+KjyEhJP9k3Rc6CBFAPXaQyJulUdJ4TWoAoH9g0NPNh0Fd08+iOzdhqCpw5tBeY52Wt7KLw80oz+1kHgnjEhYm0HUcbVkt+aNsEUKKTKEsjaI27HmMGUAIySZ+7VEe2ikvhZE7PazLVdrp8PFb90uPSlAfxxXxbNIqK7xW1DkvNyOBUSSEzUOe28k8EsZ6Jy5lTS2Z7p43HeVSlStoaZ8rKGWLEFJkCqU0itKwM7YDISRNFDUGTZ7iSCw8a4ZnfJqFZ82I5fq1+jiuiJMwtKrOud2MAKMwcvTJYfNQ1HYyq4RRCMWhrAkt09ULGK7vlC1CSJEplNIobMPO2A6EkLRR1Bg0eYoj0TWrE+efMBkl63dXEsH5J0yOrQxr9XFcEc8eY8rewzS/9DhotM41YqXUNasT988/BZ0d7SPm72Hy0DWrE+ce31lRx849nm6YaaVjjI/1pSs9DmVNGJletmozBqtcQQf36vAxRe2DCSEEKFhMo65Znbhs+frAY5yOiJ0AISRt5CEGjdeWxUF4xZgISk8zPb19uG1dH4as392QKm5b14fZh45vSrmefOSExO9B4mW/USXsHhwZ+nq/USWPo+PBz/ojTJ0LE6OmkTzUspZrdR0j0ajlmgxUxjby2+req19x/x6mHwkjc3nogwkhpB4KZWl0Rc/GmscMDA5h4cr4tj8mhBBi8HMRCKLkEw3bLz3NJGU11dPbh1lfvqfmosh9j2/PTXyoouC342vYnWDrwc8iTYCa8hKXjNdySfKT4zxZJhaBV3zk2C/di7jcKRmziBBC/CmM0qintw83PPhcqGP7BwY5kCaEkJjxm9AFMeSzFO2Xnmbi3n2np7cPxy4yyqIwgZGdyVQe4kMVBT/VaJIq0+550z2vr6i9C21UGfdT/gS5JAUpCbjDVbYIo6jp6e1D94oNFeXdvWJD7IpCP0tMWmgSQkiBlEbLVm0e4R9f63hCCCHxUc/EbZxPzAu/9DQz1meXNL/0atwT7Flfvgfdt26IZHFSEqEVRsbwG7ckqTLtmtXpe/1adTiKtYaf8ueKno3DigDHotAdPyZISUBrkWwRJl7Rojs3YXCoKtbQkGLRncYrIC5F4X2Pb4+UTgghRSK00khESiLSKyI/sN8PE5E1IvKEiCwXkf1s+v72+5P296muayyw6ZtFZJ4r/VSb9qSIzHele96jHqJ2HkHH07yfEEKiU8/ELUzMi6zg51FXy9PObVHkTLB37h4cEbQ18N7wt86iFQappjOkBUj1WChK0GI/5c8NDz43HGtmSLXi/LlLV/vGp9nWP8AdrjJGmODSflaUTnoYZXwYiz1aqRFCiD9RLI0+C+Ax1/d/APAVVZ0GYCeAj9v0jwPYqapHAPiKPQ4ichSACwDMAHAqgP+wiqgSgK8D+CCAowBcaI8Nukckenr70BYx/oXf5CZP2z8TQkgz8ZvQBdGKmC5J0e8z+fFLB/b1OY0+b5B6iVYYpJpaypeg+GRhd5jym4x77Zq26M5Nw/fzY2JHO3e4ajJpWET1c3F2p4ex2KOVGiGE+BNq9zQRmQTgdABXAbhcRATAKQA+bA+5DsBCAN8AcLb9DAArAPy7Pf5sADer6hsAnhaRJwGcYI97UlWfsve6GcDZIvJYwD1C4wxsosS/CFqVCjKL5qCEENIqau0ekwb8dsEJCuAs8B7wZy8Mtln59lL+tAdsn+7V58RJuU1ohUFGUGvHqqCx0P3zTwnV9kzsaA+9C2KtmF3ucRt3uGoOceyU58QrctzPnHhFUa7xxp6RuwtWp3f6yJrboq573vSK5wFopUYIIQ5hLY2+CuCvATgt8FsB9KvqHvt9KwCnde8EsAUA7O+v2OOH06vO8UsPukcFIvIpEVkrImu3b6/0PY464K61KhW0FS2tjbJDkMyQ5EjDqmQ9pF1eallA1vvekyivrlmduH/+KXh66emhJpetiOkSB14y42fwuntwL6b6vOOkXSMG9yqWrdqcmbqYZ9LUztRSQsfhyuNlzVSPMtiJ1bVw5SbM+vI9metfGqGVMhNHAOpa8YrionvedJRLldJVLlUqzLtmdeLc4zuH42iVRHDu8flSQKapjSHZgDJDHGpaGonIGQBeVNV1IvJeJ9njUK3xm1+6l+Iq6PiRiarfBPBNAJg9e3bFMVEGMO3lNtw//5TAY4JWxqKusBSdVlpGBMkMSYY4ViVbRdrlpdbgvZ73nlR5edX7POIlM7WsJbzecRRrjFFtgj0R4hwF3Zc0n7S0M2Hqvp9cRnHl8bJmOvnICbhtXd8Ia4/9R7V5Wum5Y3W5fy+KTLdSZvzaper0oLFerXhFcTJUpZyq/t7T24fb1vUNy9OQKm5b14fZh47PjQylpY0h2YEyQxzCWBrNBXCWiDwD4GYYl7GvAugQEUfpNAnANvt5K4DJAGB/Hwtghzu96hy/9JcC7hGaKAOYMCtcXitjDtyFJjyMDVU84toWl4wkaNW/3veeRHkFxUEhhup3HNTnVFOPwsjvvqS4hKn7cQWcrrY8XNw10zMm0cKzZnhaJQVJPGU6WUo+ppPudMf9zN3md6/YEOtYL0yQ64UrN6HaiW2vTXfgGIUQQvypqTRS1QWqOklVp8IEsl6tqhcBuA/An9jDLgHwfft5pf0O+/tqVVWbfoHdXe0wANMA/ALAQwCm2Z3S9rP3WGnP8btHaLrnTQ9t7rx70Nsv2o0TZNEP7rIQDnbOxYM7kyRH0O4x9b73JMrLr96TStzv2CuwbzPuS4pLmLqfZMBpLxdWL9ehMCpSynRy+MUKdac3w/0sjAtzmA0VOEYhhBB/QgXC9uGLAG4WkcUAegFcY9OvAfBdG+h6B4wSCKq6SURuAfAogD0APqOqQwAgIpcCWAWgBOBaVd1U4x6h6ZrVibXP7sD3Hnyuzsf0vuayVZsbNs0uMuyci0cc7gxFx8/MP2gr93rfexLlxfodjjYRHDb/rooydk/Gj110TyK7x7EuEiB83W9GwGmnzevrH6iwLAq7uQllOjnCBJduhvtZmHyEgWMUQgjxJ2wgbACAqv5YVc+wn59S1RNU9QhVPc/uigZVfd1+P8L+/pTr/KtU9XBVna6qP3Sl362qv2N/u8qV7nmPqCzu8rcMcjNujPdqvRdxmWYXFW5tWjxYZxojyKUzaCv3et97EuXF+h2OIdVAt90zjjkk9nuyLhKHsHU/aqD8eo532jwgevB7ynSypKVPjysfaXkeQghJI41YGuWOK8+cEfrYWtvRkmC4tWnxYJ1pjCCXzo4xZc+V244x5brfu2OledOaLRhSjWUnGb96H+Si1uGzTX2HdclrZUD9OBEYC6NqCwqnjLtmdeKKno3D5REnHe1lLDxrRibfG4mfoDbDz/KnOvB0db2sDnDd1z+Ay5avx4LbH8Hocgk7dw+iTQAnLFdHexki4dxXxWZkrD2nf/dgptuCrBCmb6nVfseVj6/f9wSeeHHXcNqkcaMjl30SfR4hhOQFKo1cfP2+JyJNPpphmp1XqEAoJqwz9RO0U43fANzRLdTz3mvtJFOPssav3l+2fL3vOWccc4ine/EZxxySuR35DtivhF1vjpwEH7BfCZu+fCoOm3+X53nb+gdwRc/GWN2sK+6//6hUvi/SOrzajOr6Vq26DNqx8YYHn/O0FBoY3IsBG0/SHcc9ivulKvDV84+lDLeAWn3LwrNmoPvWDRh0FW65TbDwrPCLtO3ltmEZqU4HgIu+9UCFwggAnnhxFy761gO44ZMnhb5PEXZPI4SQeimE0ijsLg3uTiftk488QAUCIeEpeVihOOlhgnxGpVaw+nqVNV71Pkhp9IMNz/um3/f4dt88prFt8VIYudODYmrctGZLYvlirCkSBq82oRq/HRuT3qc5rXU+79RaPIhjgdBLYeROv//XOzx/90v3I6jPo2wRQopO7pVGzspYPbCzICQ95MUNqV6Cdqrx23o67M6RXgQFq681uA4qK6/fgghSiL3i81tWlSBe7nsC4OQjJyRmZQQw1hSpxK/+hqlXEzvaW1L/qpWtRe8vmkFYS89b1z43XD59/QO4de1zqSwLbtBCCCH+RAqEnUXCrIwFwc6CkNYTFAS6KLT5aIDaJNyWw1EJClYf5CoXVFY9vX3oXrGh4rfuFRvqzuNYH7e8sa54R1EC77aSK3o2+lpo3LauryEFYBCMJUfceNXf7ls3YNaX76nZnjiy1AolpGCfVTn7i+ZQyxoVMK5j1RY/9/96By761gNNyWMURpe9p0R+6YQQUiRy3xI2qvThCiwhrSfM4DTv7PWZsfmlN0rQTjIl8VZhlEQCy2rRnZswOFSZ4erv1fgpSwQ2AK7Xb5K9ieP3HnzOVxk3MDiUiHtPSQRLzpmZylV/0hq86u/gXq25Rfq4MWXsP6oNn1u+Hrve2INyKSk1pzcKDPcH7C+aQ9DigUNcrmONErTo4vDGHm83OL90QggpErlXGjWi9EnzCmyWVtAJaRSajTefrlmdWHLOTHR2tEMAdHa0DysYglzlgsqq1sTTiyArqn6f6/XvHuTEMQR7VakwIhVEbVPby20YZ3dv7B8YNPVyYBBQo0hqJn39A5i7dHUoZQZpnKDFg9QRwhy32QszJJ9wfkbySu5jGtXamcePzhT7wGdtxyBCGiUoQDBJDr9g9UHbKL+xZ8gzcOlonx1wGiFILqhorA3rD6kmyP3UC/fuZ24G9yrG7DcKV545A59bvj7xQNgOff0DgTHeenr7AsdJjIUUnqDFg7Th1/PQhojECednJM/k3tKoa1Yn9otoJv3V84/F/fNPSW0F5wo6KRpBrlJFIchNq9kEuYUFmfh3+MQgqpcguQiKyUTMttdFqj8kHF51ql629Q+ga1Zn0xRGDkFGJUHjpKy5tLaaTFkahSBNfSzJJpyfkTyTe6VRT28foi56xK0sittUkSvopGgEuUoVhaCJkJ8bSFLuIX5uZjt3Dwaa+C88awbKVcElqr9HIUguqGj0RwAsO++YQtUfEo7qOtWQotfGFutMkaI2aJzECV80wlgazT18vOcxfumtJIkNJUix4PyM5Jncu6ctXLkJgxEdkucuXR2bSXISpopJuurQNJukFT9XKQKcfvQhnluyn370IYncTwSeynhngdnvt65ZnVj77A7ctGYLhlRREsH5J0xuaDt5P7lw0tieecP3QPyorlNT599V13VUgcuWr8fcw8djx643G9rJNiolEU+lRtA4iRO+aNTqBwBg07ZXPc/1S28lfjKTVcsp0nwYSiEZODdNB7m2NOrp7fOMu1GLOE2Sk1i5SmoFnabZhGSTOx72rqNOetzWjn7Wm6r+nUqbzcfyh7YMD8yHVLH8oS0N5SWIrlmduH/+KXh66empdjluNh1NDlBMsktPb1/D7jn3/3oH3tzTPIVRe7mEC0+cHHmcRJfWaAT1Aw5+Y/B6xuZJc+GJkyOlE1LNyUdOiJROatPT24fLl6+vmJtevnw956YtINdKo0YUM3GZJCexcpWUqw5NswnJJrve9J6Q7XpzqOnK4CGficSQAovu3ITBqgOqv0eFO5VEJ4VxakkMxFkXnGtdFlMQ6wareSjc46HFXTMjj5Po0lpJ0drW2YeOR6nKXbrUJph9aPpc6Ug6ue/x7ZHSSW0W3P7IiID1e206aS65dk9rdHvVMOfXMplLylQxCVcdmmYTkj+ClMHNtrzxi4VUL9yppD5eSeEqP2mMOOtC9bWyQGdHO+6ff0pFWtRxEl1a91HEtnXZqs0YqgpnMbRXW9JXkmzCeVT8+O26G/duvKQ2ubY0isMPOWh1JcwKfpZWrmiaTUj+yPMghtaR9cE2PX/EWRe8rpV2dr2xJxZLGLq0GorYtobpK4tmfUWiwXkUSQtJtFW5tjTy29khCn39A+hesQELV27CKwODmNjRjpOPnID7Ht/uaUFUvYKfpZWr7nnTR6wuplXBRQgJRyPWjnEHH2wvt8W6OpRnhViSOG06g0vmh3rqgl/5Z7H+9A8M5t4SppkUsW2t1VcW0fqKRIPzKJIGkmqrcq008tsJISqDQzoctK+vf6DmTj/VnU5Wdn3KkoKLEBKO7nnT8bmquCQC1BzEBHU69VJt+t8o3KkkOo4BLidA+SJqXQgq/7Ht5VCBiksiGF1u842p1mxa5XabRzrGlD3did1B9MeU27DbYxFgTDmbTgwnHznBc3zvBDFOk6s3SSecR5E0kFRblWulURwKo3rI8vacjoLLWYH83PL1WLZqMxs9QjLKrWufGxHIVm26u65XD3CScE94M+ZouFzVi44qsOD2jdh/VBsnQDni5CMn4IYHK+t6UF3wq9+fv2UDRoec9A+ppkZh5JBnS5hm8oaPe6I7/Y093lajfulpp1YQ4yJaX5HoZMVQICt0+iyIdHJx0Jek2qpcK43isjSKSquUVXHBFWhC4iEN7j/3/3qHb3pQXc/CAJmrevUxMDjkG7MmTeVLwtHT24fb1vWNsCY893j/yYtfOadRERQFWhnGg5cFUXV60E6ZWaRWn0fL1taThjEVaS61LADJSJJqq7JpQxqSVilvsq79LGIARELiptlb3ddDUF1PIqBjEkaYDFwbL5wAZQ+veqwI3uY5j+VMK0PSCLX6vCxtbJNHsjCmIvFTywKQjCSptirXSqP2FvhV56EDyYKFASFpJwvK16C67reK08jqzkUnTqn7XBIv48aUOQHKCfX02V6DyixTEsGSc2ZSaRwTHe3lSOlpx2864E6vNdHqmtWJJefMRGdHOwRmgZgy1zyyMKYi8cM5aXSSaqtqalVEZLKI3Ccij4nIJhH5rE0fLyL3isgT9v84my4i8jUReVJEHhGR41zXusQe/4SIXOJKP15ENtpzviZi1qP97hGWOHfpcejsaMfFc6YMF8S4MWV0tJdz1YFwy0hCGictHd3+o7yb+f1HtQXW9SRWdxZ3zcTFc6YMx30rieDiOVQkNZv2cglXnjmDE6CcUE+f7QwqsxyD0aHcJjiofRQ+t3w9t0GPiRkTD4yUnnYO2N9b2eVODzPRWvvsDvzmldehAH7zyutY+6y3+3cQSWyFHQdX9GzE4QvuxtT5d+HwBXfjip7GNr6Im7SMqUhz4Zy0PpKwwg8T02gPgM+r6sMiciCAdSJyL4CPAviRqi4VkfkA5gP4IoAPAphm/04E8A0AJ4rIeABXApgNYzm9TkRWqupOe8ynADwI4G4ApwL4ob2m1z1axv3zT2nl7ZsCg8sS0jhpiX9w3uxJnv7g582eBAC+vuI3+OwS2egAbXHXTCzumlmRVmtHyiAY4yA67lg3fFfZp94+2yn76t0VHQTwTE8THe1lvPrGnuGdvvr6B9C9YgMAynYj/NwnFp5fetrx2w2wOj0oiPEVPRsr+qoh1eHv1X2aH2mNGRrHsyVNWsZUpLmM2c974dMvnSRHzTeuqs+r6sP286sAHgPQCeBsANfZw64D0GU/nw3gejU8CKBDRA4BMA/Avaq6wyqK7gVwqv3tIFV9QFUVwPVV1/K6R8tIy4pAktAEl9QirStlaSIt8Q+CLIaCfsvC6g5jHNTHDQ8+l7pVZFI/jfTZXbM6cdGcKfCyN0q7wqizox0iwNDeypwODikW3bmpIo19VjT8yj7tMuGHn0VddXqQnNy4xntxwy/di7S6WN20Zkuk9FaQljEVaS5PvLgrUnq9sI+oTaTd00RkKoBZANYAeLuqPg8YxZKIHGwP6wTgbmW22rSg9K0e6Qi4R3W+PgVjqYQpU5J1dbhs+XosXLkJC8+akWslSt63jGymzOSNRlbKsmoVUo+8pGVnL6+VOSfdzzFlW/8ALpozxdcKqRHLoCt6NuKmNVswpIqSCC48cXLg8WPKbZ47+YwptwUOwFstV2luYxRGcTT70PG+7ymrdTXLNCIzjfTZjiVBI/W6FWyzymIvdu4exNylq7GtfwBj28vY9eYeDNptvdJi3REHaW5n0oTfxjju9J7ePnSv2FAhJ26rtb0+wuaX7kWrXaz85CXM+2k1aRlT1SJvfWcR2pi0WgCmjdC2XSLyFgC3AbhMVX8bdKhHmtaRHhpV/aaqzlbV2RMmmCCtSWoI+wcGuZqdcbxkhoSj3pWyLFuF1Csv9fgUx73aEbTCGmRN9IMNz3v+5pceBscE3hmIuk3g/Zg1pcM3vdUD8CDS3sYo4Ftns1xXs0wrZeauR+qv10lRK9xSLatHR377BwaHFQEOabDuiIO0tzNpwW9XY3f6ojs3jZATL6u1Rmi1Ba+fvIS1xCLBOIpHd9/ZvWJDpvvOIrQxabUATBuhlEYiUoZRGN2gqrfb5Besaxns/xdt+lYA7qXjSQC21Uif5JEedI+adN+6PuyhdUFhInGSJbPIeifqbJRrk8RkPWgFMWiHtLAxIKJQj6l7UGyNjjE+O/z4pJNK/Oos62p+8eprenr7hmMCpYkgIwfHLaWR3bzSoFwmzaF73nSU2yoVIOU2qXBt8qsDcdaNtLpYzXmn9z5DfumtIAuLGc1QPJL4SfMCZJqo6Z5mdzK7BsBjqvovrp9WArgEwFL7//uu9EtF5GaYQNivWNeyVQCudu2A9gEAC1R1h4i8KiJzYNzePgLg32rcoyYJbJw2Arcwuc0RO8aUoQq8MjCYC9NEkixZM4usNxhhERvlqGbKSUzWx40pew56x40pJ7JDWhD1mLoHxdbwu1yKLOpTjV+dLWJddciba4FDT28fFq7cVKH07esfwGXLk11gq5eSCN4xdrRnX1MSqYjZ1H3rBgxG8RGypCk+G0me6v4nan8U1JeGJa0uVs+87N22+6W3gjS7ozs0Q/FI4odB1sMRJqbRXAB/CmCjiDijiy/BKHJuEZGPA3gOwHn2t7sBnAbgSQC7AXwMAKxy6O8BPGSP+7KqOkvIfwHgOwDaYXZN+6FN97tHKnCEqXrS724c0q4AIK0nCx2hm3p36ilao1wrPoLX5DSJyfprr3sPVl57fRD9PgOZrCgHXvGxevJLJ/sIqrNFq6sOWVPgh6X6udJCuQ044bDxuN/DmnBIFbve2INySSpW7tvLpQqFkdckfPebe2pO0tJg3dFq8qog9eJv7tg4IvbQXjXpzjN3tJc9LWkda7bTjz7E05369KMPiZSXNMYMDYp9mBaykEeSTbhreDjC7J72M1UVVT1aVY+1f3er6suq+j5VnWb/77DHq6p+RlUPV9WZqrrWda1rVfUI+/dtV/paVX2XPedSu4sa/O6RBtzC5DXpd0OzfhJE1lb1692pJ61m2UkRZKbc09uHy5avrzCzvmz5eoz1cbVoZLLuZ3U5uLf18RXCsP8o725q/1Ftmch/2ghTZ4tWVx3y6pZXa4zSKvYocMMnT8LFc6Z4xk6pjkU0bkzZU26rY8ddeeaMEfJbbhOMG1PmjrCWnt4+XH5LZR90+S3rU+XqEye73vSWf3f6wrNmeLqwLTxrBgD/uF9pjAcWlSzENGrzyYpfeivwc5dtxI2WJE/XrE6ce3znsLyXRHDu8elT7raaSLunFZ02MW4P1SsyYSb3aVUAkNaTxVX9elbK0mqWnRRBZsqfv8XbJeSVgUG0l0ueqx1JuJEEra6kxW0laKDI1aFoCICvnH9szTpXtLrqkDUFfljSmn/HO2j2oeNx3+Pba1oMvB4y7kBR5TcKX7r9EU/Lmy/d/khh31Mtucmz61EWdk+LY/e6pDnjGG9rtDOOiWaNRppLT28fblvXV7FJy23r+gJ3mC0iVBpFoCSCZR86ZoQA+U36q48hxAu/Lcz9ghS7yZp5eRrNslvBkF8sHgDnHt9ZsSW9s9qRhBInaJCcFqXRgM9EcWBwL7pmdWLtszs83xcZibNjWpj3U8S6mkUFfi16evvQJpKqyZ+bqfPvQqlNMBRi5hfFbbuI8huF3T7tql96mtl/VBve2DMy335WqkFQbuIla2PURrnjYW9LvTse7sPirplNzk3y5KV8sxYmpFVQaRSBwb3qKUBeq91uuPJNgqg3GHFe42/kBYF3EGe/dAe/1Y6kyPIguae3D8sf2lLxvpY/tIWrQwGk1eokDeTBcs09iB/bXsauN/ekVmHkEEZh5ED5JdV4KYyC0uslqE8nI8nKGDVOxUcYN8i8kJXyDUNerYzjJroavuB4CVB1jJdxY8roaKfvfBbx2o44aeoN7pfX+Bt5IWjXryBYpuHh9rb9KebKAAAgAElEQVTRybLVTNLUG68tLfT09qH71g3DcWqqYwLlAcovSZKgMWC9fXpRycIY1dmwxB3bq3vFhtzG9oqTLJRvWBgfMxy5tTQaXRK8nsBgyU+AsrxaTwyNas2bbaZJzXh2mXbwAXjixV2hj2eZepPnGBNJkDWrmVaQ5b584cpNdW09nxXKbUL5JYlRawzY6eO+2smJpSdZ2O0saOEpq/1As8jTHCQPVsbNILeWRkkojChA+aYRrbkz2HCvViy4fWOiqxXUjGeXey9/L6YdfEBF2rSDD/AdfLJMSaOIIFNWMyQ6XtuFZxE/d5+3jB5F+SWJUWsMWNRdJfMMF57qJ09zkKxbGTeL3FoaxYUzeMlygC8Sjka05o0EUSv5BCmttdUpNePpoF4Ls3svf6/ntbpv3VBhLeCsrqclMDXJKJq9OAOkePhZcwBAPydysdHRXvZUMhZ5a/BaljHclY/Uot7xfBbJ2xwky1bGzYJKoxp0jCmj9+8+0OpskCbQyM45jSicLjxxsufuaReeODnwPA5gWk+QOXvdVI8tEh5rZHn3C058wpPF1T9SLARmIrJs1ebc7WKXNrg1+EjaxHv79jZXH8yJZb6Iewzht+lA2jcjqAfOQYoHlUY14MpWcWhEaz7Wp+MZG6LjcbbhdG8bfuGJk0Ntz8kBTGuJOxDgslWbPf3rkwosWG3Z1Nc/gO5bNyRyryRYeNYMXL58Pdx75LTZdLIPxoIhzWbcmDJee30QUXZwV5g2MG8r2Gmk3l1bs0qYnc/8woHlOExY4Vl41gxP6+56xxBFi3vFOUixoNKoBlzZKg6NaM39LE9zaJFKXDRiYeZl4dPswIJegXMH9yoWrszO7mOlkmCvS9FWKrHSueloL2PhWTM4sMsh1W3ImHIbdkfR0iSEADj9aG9Lllps6x/gCnYTyEKQ4rCEUQj93uHjcf+vd4w45vcOH59UtkgGiLutocKb5BkqjQJgRS8e9WrN/SzSwliqXdGzsWJwPaQ6/D2MtRFpHUEujUGDbz+3to4xZc8AjLWuVy9+gXOzElA3yDKr6BPM9nKJgRxzTnUbUm5Lh8L0ojlT6rZYcRbquIJNwuJnCOROf+Zl7/7TnU5352ISZ1tDhTfJM7ndPa0RGDm9uPT09mHu0tU4bP5dmLt0dejdzxrZReCmNVsipZP0UO9uKn5ubarI9e4scQeDzNOWr43gvFbn/bL/KgbVbUi11WCz6Wgv46vnH4vFXTNr1sFxY8ojlFx5autI8/Bz/XGnh+krFp41Y4RMNuKqVHT8lG15V8J1zerE/fNPwdNLT8f9809hP0xyAy2NPHh66emtzgJpAUFBjWs1+o2YpBYpcF7eCFpVCtrtzG8A+8rAIL5y/rGRr1cv43wsm8aNKaN/96CvyX+9kukX9L1eGglenyeeXsI+i7SOcptg2XnHVPSTfnVznGtzkSwH4SfpIcz4K0xfQSuReGGwdULyBZVGVeRxW0QSjqCgxrUGDY0MNoq0RWce8TNtFgG89H4iZqXNS1nTMabcVLeMK8+cge4VGypcvMolwZVnzvBVUimCY0gEKZT8gr7Xq0hi/ID8Btgk9eHXnyTJ+SdMHtFm+dXNK8/cZ7VBFzRSboNnsPSyyw+ilttYmPFX2L6CMhkfRQu2XkSo+C8WVBpVUWubc5JfGnV1qXew4Tdppixmm1ECDHrM3Ub5KJMA//SkCBpsL1y5yXeg7reCeNGcKbhpzXMY8ngOJz714q6ZI2J11as0KvrKcNEUZKSS9nJpxCT43OM7sfyhLSNifbUJcNBoM/luRLHkpRi+bV0fZh86vqLeFb1uknCcf8IUz/b//BOmDH8Os8NVrfEX5bH50H083zTinRGFNgBe2zswvk7zya3S6OI53h2RH1G2OSf5pFWuLn7WF5TFbOO3idHgXuOG5oVfeiPUsmQLspTyQiRYZmcfOt7TSumfP3QsAO+VqSA3Ob9dmC6eMyUw/3lGAE56CJacM9NzEjz70PFYdOem4TrltYPe3KWrIwfXL5cEe/bqCK2Rn0VuEesmiUYYa5S4FD6Ux+ZC9/F804h3RhTG+owPx47Jd2ysNJJbpdHirpmhlUadHe24f/4pCeeIpJ1Wurp4WV+Q/BL3YGq/kuBND/Mev3SgdsysWjsC+sls0ADfb2VKfJzaVKlUrYb9FXHwmwQHTY4dpW1UhdG4MWW89voeX2tIWg+ki1puI50+fVDc7q5zfba6n2u3ug9rjUKFT/ag+3i+aZYlWSO7U5N4ya3SKApswAhA82USLwfsV8KuN4c80+MeTP3jnxyDzy1fX6F6EZvuN0GsNTloRLHlN8D3W5nyw3GPo1LVwAE3aYRqpW01XhZJDnOXrvZc7XWg9UB6COM20qwJ/aZtrwam0xolv8Q9pg6KpZhnSoJAl/9W0ay6yzYiPeRaaeQXiLYaKgWIA1ezSFyUS20ARk7OyqW2ugZTQYG1a12vnslBEpMKWiPUT0kES86ZyfaJ1I2X0hYIZ70WVHepzEwXYdxG4pjQt5fbMODhh93uimLtFRfPnU5rlHwT55jabzqX932GD/LZOOWg9ta6ZzWr7rKNSA+5VhpddGK0uEaEEBIXteIWRR1M1QqeHeSqAkSfHCRheee3YkQMfi4jALBXlQoj0hCNuBP41V0qM9NHs1y+lpxzNC5fvr4iSG2bTQ8LLbxJWJrlUpk20uqe1ay6yzYiPeRaaRQmrtE4BtIihCRA3Ca1jQyY6p0cxG1557di9MaeIez1NL/Ol+F5m8DzOYF91h5+AYppik0apZE2ya/uUmGUPuLoe2ptoACEm8wFbXLgvg5liNSiqBYnaXbPalbdZRuRDlK/Y52InCoim0XkSRGZH/V8Z4cdL0ptgivPnOH7OyF5ZdrBB0RKJ9Hpnjcd7eVSRVojA5y4r9cKumZ1Ysk5M9HZ0Q6BUZQsOWcmPnyidzt94YmTm5vBhPF7zjbZF1svD+VM4sMJGBw2PYhGZMuv7nIgnz7iaEP82t7q9K5Znbh//il4eunpuH/+KSPk4cozZ6BcFXylXOLYO23E2c4kRVHbII4J8kPW516ptjQSkRKArwN4P4CtAB4SkZWq+mjYazjBU29c81zFCu+4MWVceaZ3wEdC8s69l78X7/+XH+OJF3cNp007+ADce/l7W5epnBG3SW1eTHS9Voyc73nfIc15nhvWPDfsVjim3Iarzzk61lgjJD/c8MmTcNG3HqjYgWru4eNxwydPinytRmWLq73ZII42JK5dK9meZYM425kkKWIbxDqUH7I+9xINEym6RYjISQAWquo8+30BAKjqEr9zZs+erWvXrm1SDklSiMg6VZ3djHtRZvJBs2SG8pIfKDMkCuyXSFQoMyQq7JdIVCgzJAr1ykva3dM6AWxxfd9q0yoQkU+JyFoRWbt9+/amZY5kF8oMiQLlhUSFMkOiQpkhUaHMkChQXkhUKDPEIe1KI68oqCNMo1T1m6o6W1VnT5gwoQnZIlmHMkOiQHkhUaHMkKhQZkhUKDMkCpQXEhXKDHFIu9JoKwB31L1JALa1KC+EEEIIIYQQQgghhSHtSqOHAEwTkcNEZD8AFwBY2eI8EUIIIYQQQgghhOSeVAfCBgAROQ3AVwGUAFyrqlfVOH47gGddSW8D8FJyOWwKWX+GevJ/qKo2xQ7SQ2aA7L/zZpGm99QUmfGRFyBd7yItpP2dtFJm0v5u/ChyvtkvxUNengOo/SytlplmkaUyTXteOZapDfNYCWUmPvL0LID389QlL6lXGjWKiKxt1s4VSZH1Z8hi/rOY51bA97QPvouR8J34k9V3w3y3jjw8A5Cf5wDy9SyNkKX3kKW8toIsvB/mMV3k6Vnz9CxAvM+Tdvc0QgghhBBCCCGEENICqDQihBBCCCGEEEIIISMogtLom63OQAxk/RmymP8s5rkV8D3tg+9iJHwn/mT13TDfrSMPzwDk5zmAfD1LI2TpPWQpr60gC++HeUwXeXrWPD0LEOPz5D6mESGEEEIIIYQQQgiJThEsjQghhBBCCCGEEEJIRKg0IoQQQgghhBBCCCEjyLXSSEROFZHNIvKkiMxvwf2vFZEXReSXrrTxInKviDxh/4+z6SIiX7N5fUREjnOdc4k9/gkRucSVfryIbLTnfE1EJOgedeR/sojcJyKPicgmEfls1p6hzuduqdxkARF5xpbbehFZ2+r8tBLKiyFKe1d00iQzAe38QhHps3V8vYic5jpngc37ZhGZ50pv+nN5tUVx9lFpIU0y40WU+p/mcmjGuCdvpHk8wH4pGhloZzzrZxoRkZKI9IrID1qdlyRJu8yEJUuyFZbYZVBVc/kHoATg1wDeCWA/ABsAHNXkPLwHwHEAfulK+0cA8+3n+QD+wX4+DcAPAQiAOQDW2PTxAJ6y/8fZz+Psb78AcJI954cAPhh0jzryfwiA4+znAwH8CsBRWXqGLMpNFv4APAPgba3OR6v/KC8V7yJ0e1fkv7TJTEA7vxDAFzyOP8rmeX8Ah9lnKbXqubzaojj7qDT8pU1mfPKY6Hinic+R+Lgnb39edTAtf+yXIr2rLLQznvWz1fnyyevlAG4E8INW56XIMhPhWTIjWxGeKVYZzLOl0QkAnlTVp1T1TQA3Azi7mRlQ1Z8C2FGVfDaA6+zn6wB0udKvV8ODADpE5BAA8wDcq6o7VHUngHsBnGp/O0hVH1AjGddXXcvrHlHz/7yqPmw/vwrgMQCdWXqGOmi53JBMQXmxRGzvikyqZCagnffjbAA3q+obqvo0gCdhnilNzxVLH9XsTAeQpnfrSZLjneRzv4+kxz1NfBQC9ksRyUI7E7W/agkiMgnA6QD+u9V5SZjUy0xYsiJbYUlCBvOsNOoEsMX1fSvSUfhvV9XnASOgAA626X75DUrf6pEedI+6EZGpAGYBWJPVZwhJWuUmbSiAe0RknYh8qtWZaSGUl2BaVY/TTGplpqqdB4BLrcvNtS4XjqjtfNJ4tUVx9VFpIe358yPT5ZDQuCePZG08wH7Jm0zJrEd/lSa+CuCvAextdUYSJlMyE5aUy1ZYYpfBPCuNxCNNm56L8PjlN2p67IjIWwDcBuAyVf1t0KE+eWr5M0QgjXlKI3NV9TgAHwTwGRF5T6sz1CIoLyQqqZQZj3b+GwAOB3AsgOcB/LNzqMfprWzPo7RFact7WNKev6ikvhwSHPfkEY4H8kFmZDZC/Ww6InIGgBdVdV2r89IEMiMzYUmzbIUlKRnMs9JoK4DJru+TAGxrUV7cvGBNl2H/v2jT/fIblD7JIz3oHpERkTJM5blBVW/P4jNEJK1ykypUdZv9/yKAO2BMVIsI5SWYVtXjNJM6mfFq51X1BVUdUtW9AL6FfXU8ajufKD5tUVx9VFpIe/78yGQ5JDzuyR0ZHA+wX/ImEzLrUz/TxFwAZ4nIMzDuWqeIyPdam6XEyITMhCUDshWWRGQwz0qjhwBME5HDRGQ/ABcAWNniPAEmD84uGpcA+L4r/SN2J445AF6xZrOrAHxARMZZ94APAFhlf3tVROaIiAD4SNW1vO4RCXvdawA8pqr/ksVnqIO0yk1qEJEDRORA5zNMef4y+KzcQnkJplX1OM2kSmb82nlnUmX5Y+yr4ysBXCAi+4vIYQCmwWxo0PTnCmiLYumjksx7RFIlMxHIXDkkPe5pykM0kYyOB9gveZP6diagfqYGVV2gqpNUdSrMO1ytqhe3OFtJkXqZCUsWZCssicmgpiC6d1J/MLta/AomsvvftOD+N8GY9Q/CaGM/DuCtAH4E4An7f7w9VgB83eZ1I4DZruv8GUyw0ScBfMyVPhumc/41gH8HIDbd8x515P/3YcwMHwGw3v6dlqVnyKLcpP0PZpeEDfZvU9HfEeVl+D2Ebu+K/pcmmQlo579r2/FHYAaBh7jO+Rub982wO1624rn82qI4+6i0/KVJZnzyl+h4p4nPkfi4J09/aR8PsF+K/L7S3s541s9W5ysgv+9FjndPs8+YapmJ8ByZkq0IzxWbDDoTdEJIihCR7wDYqqpX+PyuAKap6pNNzRghpPCIyGsAjlbVp1qdF0JI8RCR/wTQp6p/n/B9ngHwCVX93yTvQ+JHRBYCOEIbtLAQkU0APqOqP44jX6S5NKutCLj/dxAwn8sSeXZPSyUi8vsi8nMReUVEdojI/SLybhH5qIj8LOF7PyMif5TkPUh4bHkMiMhrIrJTRO4Skcm1zwx9/Sn22s6fisgu1/c/iOtepDGsLLwpIm+rSl9vy21qndf9LxG53iP9aBF5Q0TG13FNt0ztdcnwayJyUT35JP4k3U7YeyyUKn93EfmxiLxeVd4nAYCqvqWWwqiV7Y+I/JmIPCwivxWRrSKyRERKSd2PxIuIfEdEFoc47ksikvctrVNJVbvk/E1M6F4jxseq+ulWTQJJOKpk5AUR+baYIMOtyMtU2we95srPD0Tk/bXOVdUZVBilkzBj50baChE5yY5bDvT4rVdELq0371mESqMmIiIHAfgBgH8DMB5mW8JFAN4IeT4HvfnjTFV9C4BDALwAIxuxoKrP2cndW+w9AOAYV9r/xXUvEgtPA7jQ+SIiMwG0N3jN7wA4R0ysCTcfgTFX3RHlYiIyqkqmnoOVYft3Q4P5Jd4k1k7U4FJ3eavqA2FPbHH7MxrAXwJ4G4A5MLs6fS7B+6WOJBeJxMSzWiIiz9lJ4RMi8gUR8dpJp9F7vdcqp93KiTsBQFWvVtVPhLxOh4hcKyK/EZFXReRXIvJF1+/VSs3+uJ8lh5xZ1T5kNgAuSQyn7zoOwLsBtNraosPm5xgA9wK4Q0Q+6nWgiIxqZsZI3SQxdgYA2DHPVgDnutNF5F0AjoJxfy0MVBo1l98BAFW9Sc2uNAOqeg+Mr/V/AjjJPVixq23fEJG7RWQXgJPtYO2f7GDtBRH5TxEZrhwicobVsPaLsWg62qZ/F8AUAHfae/x1sx+e+KOqrwNYAdMIjUBEukXkeRHZJiJ/VvXbW0XkTruq/pCILK5elfO55kn2em2utPNFZK39vFhElovIrXaQvdY2xs6xk0TkDhHZLiJPi8hn6n1+AsDEkPmI6/slAIathETkdLuy8VsR2SLG9Nr5bbSIfE9EXrZ1/yERebvt8Prg6vCs8vnDAK6z3xeKyC0icr0t500iMtt1/DMi8kUReQTArqCBlIh0ishuEelwpZ1oJ2qjROQTIvJTEfkPMdaWj4nIya5jO8SsRj4vxkLky275LDrV7YSInCYij9py6xORL9j099r399ci8qJ9n132+F+JsXL9kj32VABfAnC+7Rs21MqHnWAfYT9/R0S+LsYC6lURWSMih4e4RmLtj6r+h6rer6pvqupWADfC7CZC4uFWAO+DiWVxIIA/BfDnAP45ofttq1JOnFnHNb4C4C0AfhfAWABnwcTgcONWanZUX4AE47Q7VWnDyssQfc1kEbnd1umXReTfReR34T8+Xuw695Mi8qRt21aKy+rJtlefFqPc3GnbK7G/HS4iq+39XhKRG9z9F4kHVe0D8EMA7xKRj9m+/1UReUpE/tw5zqaf4fo+ypbLcfb7HDFzm34R2SAi73Ude5iI/MRe916YRQO//PxGVf8VwEIA/+D0Q17jHUeGRWSiGCX5sIW2iMyy+Svb739mn2GniKwSkUPjeYMkgFpj5+G2QkTeJsbCrN+2Ff/nKvsR7Y+9xHVV14f9fpeqvmzPvVXMOPcVMWPcGQk9a0vhYLy5/ArAkIhcJyIfFLOjBlT1MQCfBvCAx2DlwwCughmY/QzAP8Aon44FcASMtdLfAYBtVK+FGby9FcB/AVgpIvur6p+i0irgH5N/XBIWERkD4HwAD3r8diqALwB4P8xORdWrx18HsAvAO2Aay0sQAqtQeBVm8O9wMUwD7HAOzIRrPMxk9Q7biZZgrOYegpHB9wPoFhH3tUg0HgRwkIj8rn2/5wNwuwztgumoOgCcDuAvRKTL/nYJzERoMkzd/zSAAfvb9ajs8P4IQBlmAOdwFsy2nB0wQY//HZVcaO/Zoap7/B7ADgx/BuA8V/LFAG5ynfd7AB6HGdD9PYxMOW3e92y+D4cJkn86gI/53a9oeLQT1wD4c1U9EMC7AKx2Hf4OGIsbp4/4FkxZHA/gDwD8nYi8U1X/B8DVAJbbvuGYOrJ2IYzV7DiYoL9X1Tqhye3Pe2CC9BYev8m1iCwSkX+zn8tirG7+0X5vF+OqOM6+4w8AOFdVf6mqe1T1QZiy+6yIvNOeU2HpJFUukHEMst3XlH3uJ5eIWVR7SUT+xnX4uwHcqKo7VXWvqj6uqiui3pM0jGdf46rTzwKYClOvb64xPoY99xQASwB8CMYa81l7DzdnwMjAMfa4ec7p9tyJMArFyTCKBBIjYlyqTwPQC+BFmPI4CKZ//4qjFIKx3LjQdeo8AC+p6sMi0gngLgCLYfqELwC4TUQm2GNvBLAO+8YWYcbCtwM4GMB0V5rneMda0j2ASquTDwNYoaqDdjz2JZh+awKA/0PBLFFaRK2xs5vPw1gOTQDwdpjyUr/2x57zXQB/ICJTAMAqmT4Ml2IKZjw9DUaWHgaQS6t7Ko2aiKr+Fvuis38LwHY7aHt7wGnftyume2Hc2D4J4HOqukNVX4UZ7F9gj/0kgP9S1TXWkuk6e86cpJ6JNEyPmJWz38JMfJZ5HPMhAN+2A/RdcA1obEN3LoArVXW3qj4Ka0ESkuthBvsQ4xP8PlR2cmtU9Q5VHbR5Owhm4DUHwEHWPeBNG5D7GuyTRVIfzorJ+2EUK33OD6r6Y1XdaCc8j8CU0x/anwdhlEVH2Lq/zrY3zjX/UEQm2e8fgZk8Dbru+zNVvVtVh+zx1YqDr6nqFlUdQG2uwz6ZGgXTgbsVAc8D+DdVHVTVGwE8BeCDdkD4Ppj2bbeq/gbAV0GZAvzbiUEAR4nIQXYy/LDrnEEAV9lyvhlmIP2vqvqqqm6CUaIcXeO+X7Mrcv0i8nDAcber6i/sAPsGmEWNMCTe/ojIJ2GeM9Nb6MZBjcn1T2B2WQHMO/4N9rUvJwHYrKo7YeRvjapucV9bVdfADMbDLhwkNcj+fZgJ4PtgFKO/a9MfBHCVGCuHaTHdq+j0uNqHnpDn+PU1J8AobrpVdZeqvq6qYeN8XgTgWlV9WFXfALAAxjJpquuYparar6rPAbgPto1S1SdV9V5VfUNVt8O0E38IEhdO3/UzmDbmalW9S1V/rYafALgHZiEDMIqfs+wCCWAm5zfazxcDuNvKz15VvRfAWgCn2Qn9uwH8rS3LnwK4M0T+HJdKd3zHoPHOjbBKLRERmD7Hyd+fA1iiqo/ZvvBqAMfS2qgp+I6dqxiE6fsOtWPQ/1NVRUD7Y/u6n8COVWD6ltEwCkzYY661Y6s3YOZox4jI2LgfstVQadRkbGPyUVWdBLMyPBFmYuSHe2A2AcAYAOucjhrA/9h0ADgUwOddnXg/zKpJIsEJSSx02ZWz/QFcCuAnIvKOqmMmolIOnnV9ngBgVNXvFYP5GnwXQJftoC8AcJ+qvuh1LTvI67P5ORTAlCpZ+2sY6wZSP9+FGSR9FJWrGI6b133WdPYVmNXXt7nOWwXgZjEuP/8o1lzaDpJ/CuBiMUEouzBSsfgb1+fdAEZLpRtaFJm6A6bDnALgVADbq5QZW20n7fAs9snU/gBecMnU12FWg4qOXztxLszq7bNizPJPcp3zsq2zwD6rsxdcvw/AuOsE8Veq2mH/jgs4rlp+wgY7TbT9EZFzYVacP6gR43fllKDJ9QMAponIW2Ess64B0GnbjD+EGTQDps153uf6z2PfeCSQiIPsie6yFpEPBVx6kRrXf2cbeEcp8ZcwiqlLATxqra0+WHXuw657fC3McxScLlf70FX7cAD+fc1kAM9qgCVrABPhGhep6msAXoaxFvC771sAQEQOFpGbxbj3/hbGQsHXrYlExpGRQ1X1/6nqgBhPiwettWM/TB/2NsAo8QA8BuBM2y+chX1KmUMBnFfV7v8+jBJgIoCddmHVwT1W9sOREXf/EDTeWQHTZk6EaScVxqLIyd+/uvK2A8aSrdPzSiROfMfOVSyDsYa+R4xr5HybXqv9cbuo/SlcC68iUhKRpSLya9uGPGOPy107QqVRC1HVx2EC1b4LpuHxPMz1+SWYgf4MV0c9VvcFGd0Cs7Lc4fobo6o3eVyLpAhrHXI7gCGYTtDN8zANmsMU1+ftAPYAmORKC72zklUorAVwNkxD+N2qQ4avZU0yO2FWZrYAeKJK1g7U+mJNEIuqPgsT1O80GLNpNzfCmPNPVtWxMHEexJ43qKqLVPUoGPevM1DpkuZ0eOcCeLpKiRMqaxGeYTeA22AmqF4yNanq+xTsk6ndAMa7ZOogVa1lDVMYqtsJVX1IVc+GsdboAXBLvZeOK4+Rbppg+yMipwP4BoDT1VhWkYDJtV1VXwujIHoPjJLo5zCxoNxKo5dgJmleHALTJwVSxyB7W1VZB8m5p3LAKpKuVtXjYawybwFwq1TuIHmc6x5/Ves5yAh2wSxsAhi2hA6lRISp01PEO2ZerfZpG8yE3bnvATBl7Gdt4GaJvf7RqnoQjDVB7AHdiUFE9ocZH/wTgLfbxZC7UfnOHRe1swE8ahVJgJGR71a1BQeo6lKYcfI4qdz0wz1W9uOPYdzlNrvSfOVNVfthLKM+BKOkuMm1CLYFxl3cnb92Vf15iHyQBqgxdnYf96qqfl5V3wngTACXi3G5Dmp/YK/ZKSYG5zmoVEx9GEZW/wgmTMRUm567doRKoyYiIkeKyOcdNxExPr4XwphNvwBgkojs53e+Ghe1b8H4/x5sr9EpIo5v9rcAfNpaJIiIHCAmeK6zVeALAN6ZzNORRrDldTZMTJDHqn6+BcBHReQou/JypfODXX2/HcBCERkjIkdiZMC2WlwPs+J8JIDvV/12goicba1WvgATg+QhmFXpN608j7aTgB4DDQoAACAASURBVJkicnzEe5ORfBzAKVUrZoCJa7ZDVV8XkRNgOioAgIicbN9/CcaFaRBGseBwG8wEfBGiuS/Wy/UA/gwmLkC1b/khInKpmNg0F8DEL/oflwnwP4nIQSLSJiJHiMh7mpDfTFDVTjwhIheJyFi74vVbVJZ5FF4AMFVaE3Q89vZHzDbK1wP4Y1Vd17QnST+1Jtc/AXAKgFkw7/knMDFFToCxVgSA/wVwoh2/wHWtE2Amac5xFQoEVFqBtXSQrcZ192oABwA4rBn3LAi/grEcOt3W2StgrCPD8AuYif9SO3YdLSJO8Ppa4+MbAXxMRI61SomrYVwonwlx3wMBvAagX4yLdHfI/JL62A9GJrYD2GOt/T5QdczNNu0vsM/KCDBjiTNFZJ5t80eLCb4+ySoN1gJYJCL7icjvwygFPBGRt4vZLv1KAAvs/CosN2LfIpw7f/8JYIHY+GwiMlZEzvM4nySD39h5GDGbRR0hIoJ9Y6YhBLc/sNdcAeDbMBZJa12XPRAmFMzLMH3e1TE/V2qg0qi5vArgRABrxOyG9iCAX8IE5loNE2PiNyLyUsA1vghjWvegXaH7X9gAblaIPwkTWHCnPe6jrnOXALjCmk5+IcbnIvVzp4i8BtN4XQXgkupVcVX9IYwL42qYMl1ddY1LYQbev4FZqb8JpgELy20wysQVOtKH+w6YlbcdMLFpzlET+HQPjEb/BJhV4pdgAq8fFOG+xAM1vv5rPX76fwC+LCKvwgQ2dq+2vwOmQ/stjNLxJ3Apa2yH5yiOmhGg76cASjAD961Vv/0cwAwYmVoIE1B3p/3tYpiJ3KMwbditoMsj4NFOwJTznwJ4xvYFn8Y+n/uo3Gr/vyzBsYuSIIn25+9g2sRVUrVNe8Eo28HvaBEZDdNmBE2ufwIzGXpUVd8E8GMAn4CxTtwOAKr6vwB+BBOAdoadvM2BaVeuV1VnxX49gAvEBNWeDeBPXPlq+iBbRP5WRN5tJ5SjAXwWQD8qLQxIA6jqKzD91H/DKCJ3wcS5CnPuEMwk/wiYTVu2wtR5oMb4WFV/BOBvYdqS52EWIsLGwlsEsx38KzAxSnytFEjjqInF+lcwbdFOGAXyyqpjnodZGPg9AMtd6VtglM1fglE6bYFR8jlz2Q/DzLF2wCiDvNyU+u38ayNMH3Keql4b8TFWwsRje0GNG6yTvztgNiu62fbJvwRQ7QJLEiJg7OxmGsy8+TUYGfsPNfFCg9ofh+tgFl2q5ep6GAvePpix64gNjfKCqNJjiZA8ISL/AOAdqhpqFzWrcX8awEdV9ceu9MUAJqnqR5PIJ8k3IvJTmPgp33GlfQLAxar63lbli6QLtj/JICLPwGVVZLkKZjDcDWOt9nMAn3YUu2LiF+0EsFhVF9myeQHAbar6F65rj4aZbH8YRqk7Cmax6gtqYhRBzC5qN8EoiH8Cs739eFV1YqvdAGPVtANmwn8dgGmq+qSIfAcm9tkVYrbU/p6aOJDVz7gQJvj/xWLiMj0NoGyVihCRH9tz/1tEroBRJEyBcel+BMCXHNcREVHn/hFeMyGEEFIIqDQiJONYl7T9YFZO3g3jH/4JVQ21m4mInA/gywCOdPlmc9JG6sZaHtwNE39plyudSiNSAduf7CMi18HEmzrNWigRQgghJEf4BXwihGSHA2FWdCfCBPT7Z4yMDeKJiPwMxlzzIqUGmcSAiNwAE8voL4N8ywlh+5MbPgHgchg3n9ya5hNCCCFFhZZGhBBCCCGEEEIIIWQEoQJhi8jnRGSTiPxSRG6yQRUPE5E1IvKEiCx3djUQkf3t9yft71Nd11lg0zfLvh2/ICKn2rQnRWS+K93zHoQQQgghhBBCCCEkWWoqjewWlH8FYLaqvgtmR5wLYCLEf0VVp8EETvy4PeXjAHaq6hEAvmKPg4gcZc+bAeBUAP9hd90oAfg6TIT5owBcaI9FwD0IIYQQQgghhBBCSIKEjWk0CkC7iAzCbI/6PMyuFx+2v18Hs3XyN2C2Q1xo01cA+He7A8fZAG62O2s8LSJPwmyXCwBPqupTACAiNwM4W0QeC7iHL29729t06tSpIR+LpJV169a9pKoTmnEvykw+aJbMUF7yA2WGRIH9EokKZYZEhf0SiQplhkShXnmpqTRS1T4R+ScAzwEYAHAPgHUA+p1tTWG2cO20nzsBbLHn7hGRVwC81aa7AyS6z9lSlX6iPcfvHr5MnToVa9eurXUYSTki8myz7kWZyQfNkhnKS36gzJAosF8iUaHMkKiwXyJRocyQKNQrL2Hc08bBWAkdBrM70wEwrmTVOBG1xee3uNK98vgpEVkrImu3b9/udQghFVBmSBQoLyQqlBkSFcoMiQplhkSB8kKiQpkhDmECYf8RgKdVdbuqDgK4HcDvAegQEcdSaRKAbfbzVgCTAcD+PhbADnd61Tl+6S8F3KMCVf2mqs5W1dkTJjTFCphkHMoMiQLlhUSFMkOiQpkhUaHMkChQXkhUKDPEIYzS6DkAc0RkjI1N9D4AjwK4D8Cf2GMuAfB9+3ml/Q77+2pVVZt+gd1d7TAA0wD8AsBDAKbZndL2gwmWvdKe43cPQgghhBBCCCGEEJIgYWIarRGRFQAeBrAHQC+AbwK4C8DNIrLYpl1jT7kGwHdtoOsdMEogqOomEbkFRuG0B8BnVHUIAETkUgCrYHZmu1ZVN9lrfdHnHiSj9PT2YdmqzdjWP4CJHe3onjcdXbNqhqoihLJDIkF5KR55LfO8PhchRYT1mUQhrfKS1nyR5Ai1e5qqXgngyqrkp7Bv9zP3sa8DOM/nOlcBuMoj/W4Ad3uke96DZJOe3j4suH0jBgaHAAB9/QNYcPtGAGBDQwKh7JAoUF6KR17LPK/PRUgRYX0mUUirvKQ1XyRZwrinERILy1ZtHm5gHAYGh7Bs1eYW5YhkBcoOiQLlpXjktczz+lyEFBHWZxKFtMpLWvNFkoVKI9I0+voHIqUT4kDZIVGgvBSPvJZ5Xp+LkCLC+kyikFZ5SWu+SLJQaUSaRkkkUjohDpQdEgXKS/HIa5nn9bkIKSKszyQKaZWXtOaLJAuVRqRpDKlGSifEgbJDokB5KR55LfO8PhchRYT1mUQhrfKS1nyRZKHSiDSNzo72SOmEOFB2SBQoL8Ujr2We1+cipIiwPpMopFVe0povkixUGpGm0T1vOtrLpYq09nIJ3fOmtyhHJCtQdkgUKC/FI69lntfnIqSIsD6TKKRVXtKaL5Iso1qdAVIcnG0Yl63ajG39A5jY0Y7uedO5PSOpCWWHRIHyUjzyWuZ5fS5CigjrM4lCWuUlrfkiyUKlEWkqXbM62aiQuqDskChQXopHXss8r89FSBFhfSZRSKu8pDVfJDnonkYIIYQQQgghhBBCRkClESGEEEIIIYQQQggZAZVGhBBCCCGEEEIIIWQEVBoRQgghhBBCCCGEkBFQaUQIIYQQQgghhBBCRkClESGEEEIIIYQQQggZAZVGhBBCCCGEEEIIIWQEVBoRQgghhBBCCCGEkBFQaUQIIYQQQgghhBBCRkClESGEEPL/2bv/ODuq+v7jr0+WRRcFNmBUsgSCSEPBKAEqaFrLDzUIKlv8iVqitaW22tbabptUH1+ChZI2tf6oltZWKgjyG9cgaKQGa0UTDC6YRkgJICQbxABZRFhl2ZzvH3NuMnt35t6Zu/fHmbnv5+Oxj7333Ln3nrnzmTMzZ84PERERERGZZq9OZ0C6y/DIKKvWbGb72Dhz+/sYWrKAwUUDnc6WFIBiR/JQvHSfsm7zsq6XSDfS/ix5hBovoeZLWkeVRtI2wyOjLL9hI+MTkwCMjo2z/IaNACpopCbFjuSheOk+Zd3mZV0vkW6k/VnyCDVeQs2XtJa6p0nbrFqzeXcBUzE+McmqNZs7lCMpCsWO5KF46T5l3eZlXS+RbqT9WfIINV5CzZe0VqZKIzPrN7PrzOweM7vbzF5lZgeY2S1mdq//P9sva2b2GTPbYmY/MrNjY5+z1C9/r5ktjaUfZ2Yb/Xs+Y2bm0xO/Q4ppdGw8V7pIhWJH8lC8dJ+ybvOyrpdIN9L+LHmEGi+h5ktaK2tLo08D33DOHQm8ArgbWAZ8yzl3BPAt/xzgDcAR/u9c4GKIKoCA84ATgFcC58UqgS72y1bed5pPT/sOKaCeqC4wc7pIhWJH8lC8dJ+ybvOyrpdIN9L+LHmEGi+h5ktaq26lkZntB7wG+AKAc+4Z59wYcCZwqV/sUmDQPz4TuMxF1gH9ZnYQsAS4xTn3uHNuJ3ALcJp/bT/n3Pedcw64rOqzkr5DCmjSuVzpIhWKHclD8dJ9yrrNy7peIt1I+7PkEWq8hJovaa0sLY1eAuwA/tPMRszsP8zsecCLnHMPA/j/L/TLDwBbY+/f5tNqpW9LSKfGd0gBDfT35UoXqVDsSB6Kl+5T1m1e1vUS6UbanyWPUOMl1HxJa2WpNNoLOBa42Dm3CHiK2t3EktqmuQbSMzOzc81sg5lt2LFjR563ShudfOScXOmtpJgplk7HjuKlWDodL6CYabcQtvlMJcVMGdZLWkflTLF0en9WvBRLp+MFdFySPbJUGm0Dtjnn1vvn1xFVIj3iu5bh//8stvy82PsPBrbXST84IZ0a3zGFc+7zzrnjnXPHz5mjgA3VrfckH6DS0ltJMVMsnY4dxUuxdDpeQDHTbiFs85lKipkyrJe0jsqZYun0/qx4KZZOxwvouCR71K00cs79FNhqZgt80qnAj4HVQGUGtKXAV/3j1cA5fha1E4EnfNeyNcDrzWy2HwD79cAa/9qTZnainzXtnKrPSvoOKaDtKaPqp6WLVCh2JA/FS/cp6zYv63qJdCPtz5JHqPESar6ktfbKuNyfAFeY2d7A/cD7iCqcrjGz9wMPAW/zy94MnA5sAZ72y+Kce9zM/hb4gV/u4865x/3jPwK+CPQBX/d/ACtTvkMKaG5/X+J0jHPVB1bqUOxIHoqX7tOsbT48MsqqNZvZPjbO3P4+hpYsYHDRQP03tohiWaQ8tD9LHqHGS6j5ktbKVGnknLsTOD7hpVMTlnXAB1M+5xLgkoT0DcDLEtIfS/oOKab5ByYXMvMPVCEjtSl2JA/FS/c5+cg5XL7uocT0rIZHRll+w0bGJyYBGB0bZ/kNGwE6VnGkWBYpD+3Pkkeo8RJqvqS1soxpJNIU6+7fmStdpEKxI3koXrpPM8ZYWLVm8+4Ko4rxiUlWrdk8o7zNhGJZpDy0P0seocZLqPmS1sraPU1kxiZd8qR4aekiFYodyUPx0n2aMcZCiOM0KJZFwjHT7qvanyWPUOMl1HxJa6mlkbSNWb50kQrFjuSheOk+/fv05kpPkjYeQyfHaVAsi4Sh0n11dGwcx57uq8Mjo5k/oydlx01Ll+4Wavkfar6ktVRpJG3Tt1dyuKWli1QodiQPxUv3SbvBmefG59CSBfT19kxJ6+vtYWjJgpR3tJ5iWSQMzei+evYJ83KlS3cLtfwPNV/SWuqeJm0zPrErV7pIhWJH8lC8dJ8nxidypSepdDMJafY0xbJIGJrRffWCwYUAXLl+K5PO0WPG2SfM250uEhdq+R9qvqS1VGkkbaMpGqVRih3JQ/HSfZq1zQcXDXS0kqiaYlkkDM3aFy8YXKhKIskk1PI/1HxJa6kdmbTN0JIF9PZM7fDa22MdbfovxaDYkTwUL92nrNu8rOslUjTN6r46PDLK4pVrOWzZTSxeuTbXmEjSXUIt/0PNl7SWWhpJe1WPL6GB9iUrxY7koXjpPmXd5mVdL5ECaUb31cpg2pWxkSqDacc/X2SKUMv/UPMlLaOWRtI2q9ZsZmLX1FJlYpfLNYigdCfFjuSheOk+Zd3mZV0vkSIaXDTAbctO4YGVZ3DbslNyV/Q0YzBt6R6hlv+h5ktaS5VG0jbNGERQupNiR/JQvHSfsm7zsq6XSDfS/ix5hBovoeZLWkuVRtI2+/f15koXqVDsSB6Kl+5T1m1e1vUqE41RI1lpf5Y8Qo2XUPMlraUxjaRtJiaTp2JMSxepUOxIHoqX7lPWbW6WL13aS2PUSB5lLaekNUKNl1DzJa2llkbSNk89M5krXaRCsSN5KF66T1m3+djTE7nSpb00Ro3kUdZySloj1HgJNV/SWqo0EhEREQnQc3uTT9PS0qW9NLaHiIh0A511iIiIiAToV88mN/dPS5f2mtvflytdRESkiFRpJCIiIhKgqlmN66ZLew0tWUBfb8+UtL7eHoaWLOhQjkRERJpPA2GLiIiIiORUGex61ZrNbB8bZ25/H0NLFmgQbBERKRVVGomIiIiINGBw0YAqiUREpNTUPU1ERERERERERKZRpZGIiIiIiIiIiEyjSiMREREREREREZkmc6WRmfWY2YiZfc0/P8zM1pvZvWZ2tZnt7dOf459v8a/Pj33Gcp++2cyWxNJP82lbzGxZLD3xO0RERKTzhkdGWbxyLYctu4nFK9cyPDLa6SyJiIiISBPlaWn0Z8Ddsed/D3zSOXcEsBN4v09/P7DTOfdS4JN+OczsKOCdwNHAacC/+IqoHuBzwBuAo4Cz/bK1vkNEREQ6aHhklOU3bGR0bBwHjI6Ns/yGjao4EhERESmRTJVGZnYwcAbwH/65AacA1/lFLgUG/eMz/XP866f65c8ErnLO/co59wCwBXil/9vinLvfOfcMcBVwZp3vEJFAqKWBSHdatWYz4xOTU9LGJyZZtWZzh3IkIiIiIs2WtaXRp4C/Anb55wcCY865Z/3zbUBlvtEBYCuAf/0Jv/zu9Kr3pKXX+g4RCYBaGoh0r+1j47nSRURERKR46lYamdkbgZ855+6IJycs6uq81qz0pDyea2YbzGzDjh07khYRmUIx0xzd0tJA8SJ5dUPMzO3vy5UutXVDzEhzKWYkD8WL5KWYkYosLY0WA282s58QdR07hajlUb+Z7eWXORjY7h9vA+YB+Nf3Bx6Pp1e9Jy390RrfMYVz7vPOueOdc8fPmTMnwypJt1PMNEe3tDRQvEhe3RAzJx+ZvF5p6VJbN8SMNJdiRvJQvEheihmpqFtp5Jxb7pw72Dk3n2gg67XOuXcDtwJv9YstBb7qH6/2z/Gvr3XOOZ/+Tj+72mHAEcDtwA+AI/xMaXv771jt35P2HSISALU0EOlet96TfNcxLV1EREREiifP7GnV/hr4iJltIRp/6As+/QvAgT79I8AyAOfcJuAa4MfAN4APOucm/ZhFHwLWEM3Odo1fttZ3iEgA1NJApHt1S0tDERERkW62V/1F9nDOfRv4tn98P9HMZ9XL/BJ4W8r7LwQuTEi/Gbg5IT3xO0QkDGppINK95vb3MZpQQaSWhiIiIiLlMZOWRiLS5dTSQKR7DS1ZQF9vz5S0vt4ehpYs6FCORERERKTZVGkkIg3TmEYi3Wtw0QAXnbWQgf4+DBjo7+OisxYyuGig01kTERERkSbJ1T1NRCRuaMkChq67i4lJtzutt8fU0kCkSwwuGlAlkYiIiEiJqaWRiMzI5C5X87mIiIiIiIgUk1oaiUjDzr9xE9V1RLtclK7WByIiIt1teGSUVWs2s31snLn9fQwtWdCR84NQ8iEiUkSqNBKRhu18eiJXuoiIiHSH4ZFRlt+wkfGJSQBGx8ZZfsNGgLZW2ISSDxGRolL3NBERERERaapVazbvrqipGJ+YZNWazV2ZDxGRolJLIxERERHgY8MbuXL9Viado8eMs0+YxwWDCzudLZFC2j42niu97PkQESkqtTQSkYaZ5UsXEQnVx4Y3cvm6h5h00UBtk85x+bqH+Njwxg7nTKSY5vb35Uovez5ERIpKlUYi0rB3n3BIrnQRicbXWLxyLYctu4nFK9cyPDLa1fkIxeXrHsqVLiK1DS1ZQF9vz5S0vt4ehpYs6Mp8iIgUlSqNRKRhxx96QK50kW5XGZB1dGwcx54BWdtdYRNKPkSkvAYXDXDRWQsZ6O/DgIH+Pi46a2HbB58OJR8iZaebUOWlMY1EpGFD196Zmq6TMZHpag3Immefmen00aHko1mfISJhGlw0EMT+HEo+RMosfhMKps9OqON9canSSEQaNrErX7qETQfz1mvGgKzNmD66WfkYuvYuJna53fkYuvauXPkIaSpsIzrhTUoXESk7nQNIsyTdhEo63v/51Xfy4avvZEDxFjx1TxMRmaEyjA2j7krt0YwBWZsxfXQz8rFi9abdFUYVE7scK1ZvyvwZIU2F/e4TU8ZoS0kXkfYI5RgbSj5aQecA0myjY+NT9pWk472LLat4C5sqjUREZqAsJ1ohXbyXWTMGZG1GK6GTj5yTKz3J2PhErvQkIU2FfcHgQt5z4iH0+Okfe8x4z4mHcMHgwrbnRUQioRxjQ8lHq+gcQFohvq+M1jmuK97CpkojEZEZKMuJVkgX72XWjAFZm9FK6Gt3PZwrvVVCmwr7gsGF3HfR6fxk5Rncd9HpqjAS6bBQjrGh5KNVdA4grTQ+MZmpq7fiLVwa00hEZAbKcqI1t78v8S5Qpy7ey2ymA7IOLVkwZVwAyN9aqRmthGbv08vOp6cvP3uf3syfcfKRcxKntM/T4qmZNKZHsWh7lV8ox9i0VhL1Wk8Uhc4BpBnSxgakRnqc4i1cXdPSqMz9kKV5yhYnZVufEIXWUqJRzeiuJO0xuGiAtxw3MKUb1VuOa//MQEcdtG+u9CShtHiC8nc/KRttr+4QyjG2Ut5mTS8anQNIM8xkv8x780vaqysqjXRiIVmULU7Ktj6hasYYNSG49Z4dudKlc4ZHRrn+jlEmXXTfbtI5rr9jNNe+nXaZk+fyZ939O3OlJ2lGi6dmKXv3k7LR9uoOoRxjK+Vt1vSi0TmANENay7u+3p6arZAb6aov7dUVlUY6sZAsyhYnZVufUDVjjJoQhNIFQOprxr49k+bjFWW7iNI+UCzaXt0hlGPsQEoLirT0oinb/qSW9uGo7LPnvenoxArgT73jGG5bdkrhzpu7TVeMaVS2glBao2xxUrb1CdlMx6gJgcYzKI5Q9u1ZBrsS6odmFbS3hvaBYtH2kjxmOv5VM8aSC1mZ9qdKS/vKtqq0tAcKf65WNAbctuyUKWkah66YuqKlUSj9oSVs7YyTdtwB6U9pBpqWLt1t/oHJcZ6WLp2zf1/yPpyW3io9KZVDaemh05gexRJKtyVpreGRUYauu2tKV/uh6+7Kdd7UjO76obR4apWhJQvorarx751lhdyf1NI+HNXXUIOLBrht2Sk8sPIMtS4qmLqVRmY2z8xuNbO7zWyTmf2ZTz/AzG4xs3v9/9k+3czsM2a2xcx+ZGbHxj5rqV/+XjNbGks/zsw2+vd8xiwaVS7tO/LSiYVk0a4D5vDIKEPXVp0AXZvvBCiLX1UdMOulS3f73n2P50qXxs200jht3NV2j8c6sStfeug0pkexVC7i+2OVpc/tzXcvtNa+qO4tYTj/xk1MTE5t0jgx6Tj/xk2ZP0OVCNlUdy1WV2OZCV1rl0uWo+uzwF84534dOBH4oJkdBSwDvuWcOwL4ln8O8AbgCP93LnAxRBVAwHnACcArgfNilUAX+2Ur7zvNp6d9Ry5lvzsgTVR90dWCi7AVqzcxUdWnY2KXY8Xq7CdAWTydcuWWli7drRlj3Eh9zbjjnTTNfa10yUYXGsUyPDLK+TdumjJo+s6nJzLvT7X2RU0kEY5mlHdpg/OmpSdp1w2/TvnoVzZO6268y0XpRaMeJmHoxKyuzaKbBtPVrTRyzj3snPuhf/wkcDcwAJwJXOoXuxQY9I/PBC5zkXVAv5kdBCwBbnHOPe6c2wncApzmX9vPOfd955wDLqv6rKTvEGm6VWs2J97NavadqJBmCxKR9tId76n6U7rUpaW3ki40iqNSqZNUcZB1f6q1L2o/bZ6PDW/k8OU3M3/ZTRy+/GY+Nly8Sgho3w2/TnnqmeRW6GnpIVMPkzB87a6HO52FhuimQbJc7XjNbD6wCFgPvMg59zBEFUvAC/1iA8DW2Nu2+bRa6dsS0qnxHdX5OtfMNpjZhh07pjcj18aXakkxo7vMkiZLGaM7EhKXFjMqZ6YKpasddH5Mo3rljOyRVKkTNzo2Xrc8rrUvFmU/DT1mPja8kcvXPbS7m9Okc1y+7qFcFUdpRUG7i4gy3PALPV6aZXDRAG85boAefyDpMSt0q5dOmknMFGnfiNNNg2SZK43M7PnA9cCHnXM/r7VoQpprID0z59znnXPHO+eOnzNn+smdNr5US4qZst1lDuVEqwxqlTFlb7IujUmLmbKVMzM1ltLFJC29lW64Y1uu9Gardy5TTzdVXmepvKl3k7DWvliU/XSmMdNqV6x/KFd6kmZ0ne5JqYVOSy+r0OOlWYZHRrny9q1TKiuvvH1rqcvEVumWmIkryk2DdstUaWRmvUQVRlc4527wyY/4rmX4/z/z6duAebG3Hwxsr5N+cEJ6re/IRRtfshhasmDaDjHLpxeRxqhpj7I3WZfm6nRrltCEdHFe5HHguq1FdZ74SLtJWKsLi7q3NEfaOMrtHl/57BPm5UpPMjtl5tm0dOmcj35lI5NV52WTu1whx2cquo8Nb5xyM6P6eYjHqJDOS0KSZfY0A74A3O2c+6fYS6uBygxoS4GvxtLP8bOonQg84buWrQFeb2az/QDYrwfW+NeeNLMT/XedU/VZSd+Riza+ZLHhwcepvjTY5dNF0pShybq0j2bomkoX583RbS2qk+KmlqSbhLUmSdEEKuVyweBCFh9+wJS0xYcfwAWDCzN/xnlvOjpXunROmcZnKrrL1z005WZG9fMQb27ovCTZXhmWWQz8LrDRzO70aX8DrASuMbP3Aw8Bb/Ov3QycDmwBngbeB+Cce9zM/hb4gV/u4865ytX4HwFfBPqAr/s/anxHLkNLFrD8ho1TTqi08aXa5euSm0tfvu6hXCcWIiJp1PJ1qsFFA2x48HGuXB91JdDYE41Ji5/RsXEWr1zLJY9lzwAAIABJREFU9rFx5vb3MbRkQSl+28o6rFqzecq6rVqzOXFGrLSbhJUKoryvSbEMj4xy+wM7p6Td/sBOhkdGM2/jtBuIGx58XHEi0qDKzY2Q9qG040tIeaxneGS06fmvW2nknPsu6cOgnJqwvAM+mPJZlwCXJKRvAF6WkP5Y0nfkVYaNLyIixTe3vy/XRW3ZDY+Mcv0do1PGnrj+jlGOP/QAHaNzSIsr2DOt+OjYOB+5Jrr3V4bfNq1SRzcJpVqtbuRZ94Ur129NTdeNRZHGhXjTrMg3DSrd1SvHwUqLLpjZsT9LS6NSKPLGFxGRcph/YPLF/fwDu7PSqFa3Kh2zs0tqUZ1kl4O/ueFHib9tK+5MtptuEkqSZnQjn0wZiCktXUSy6dabZq3SqvOqrqk0EhER6bTv3ZfcxSEtvezqtY6RbJIqS9J+w6SBvZtxZ7ITlU5p39nM7y1DZVojunW90xjJE4l01/xrIs2llqDN16phEFRpJCIi0iaa1XCqHrPEO/XdNhV2M1RXlsxfdlPN5eOVArMStkOtO5PVFQonHzmH6+8YbXpz+Hr5b0UT/HZ/R4i6db1r2WfvnsSBlPfZO/uA7CLd7ogXPo/7dzytMQxbqFXDINSdPa0shkdGg5/iT0REpJuoy0frpNW7me2pFKjMYpP2eyfdmax+7+jYOFese6jts7fNdMa44ZFRjjn/m8xfdhPzl93Eoo9/c9q5YVFnpZvpOW9R17uVNCOXyMxt2/nLaWMY6pq8uVo1+1tXtDQaHhll6Lq7mJiMgnR0bJyh6+4CuveOiYiISKeppVHrvPuEQxJnBX33CYckVgokSbozmfTetCq+Zg1wmtRVaiZN8IdHRhm69q4pgyPvfHpi2rlhEWc7rF630bFxhq7Nd85bxPUWkbD1mGkMwzZo1dh+XVFpdP6Nm3ZXGFVMTDrOvzH7rAkiIiLSXGpp1DqVGZ2uXL91d1eAs0+YxwWDCzmsTtc1SL8zmafioBkDnCZVgnz46juZZZAUJlm+c9WazdNm04Lo3LDSmmbVms2plWEhD9zajJnCNMujiDRTb49NuxavUGV087ViArCuqDTa+XTy7Ahp6SIi3cZSLsDU4ENaKaSWRj0GSee0PQXeBy4YXJg4HXhapUCPGbucq3lnMu291QMFN2uA06RKEIhmgquW9TtrXaRUxu9Ja4kV+sCtzZgpLGk2vtDXu5a9e4xnEnbuvXPs3LMsOeZmFbh8EGkbB7P36U289lZldDF0zZhGIiKSrm+v5MNBWrpIM4TU0ugTbz8mV3qRpY158Im3v4IHVp7BbctOSb1Lmfbed594CAP9fRgw0N/HRWctbMqdznqVHT1mub+z1kVKUheKimauV8gGFw1w0VkLW7I9O+Ef3vqKabOcmU/PKq1+qciVyiLtMrHL4RwtGWtH2qMrWhr19/UmnnT09/V2IDciIuFJmoa7VroUW+8sSNq0vW2uIxxIabUy0IE7j60aByBEM1nXWu+Njz1U6ebV6t9vl3M8sPKMXO8ZWrJg2phGULsLhQG3LTul0Wy2Tdrd/Nn75DvnbUX3hk5pxr6ddijUIVIkmyfGJ/jkO47pimNsGXVFpdGKNx/NR66+k3i5Psuni4hIWN2EpLZmdJMI5QLo5CPnJA7WfPKRc9qbEa9MF8r1pK1r0qDT1cslvbdV07SnVYJUNNK1oZKfFas37b6pOHufXs5709Gcf+OmxO/rz1np0ilnvPygxH3qjJcf1IHchKOb9m2REM3t79N+WGBdUWkE0NNj7IrdPepRe1IRkd1C6iYktT1nr1mMJ9TuPCdHV8JmVBJWj2ETT8/qph89nJqeNBaPtNZMKn5qTdM+k4uE89509JQZcONm0rUh7eJlxepNicsXpSi89Z4dudIlm+ft3cNTz0zvtvi8vXsSlhaROHVDK76uGKxi1ZrNibOnVZpOi4h0u7TuQJ3oJiS1/TKlOVBaepJmVBKmLZnn2loTVYSlVsVPPa2apn1w0QCr3vqK3WVRpWKzVePsPJEyhlJaemhatR26XW9P8iVTWrqIRIo+JppEuqKlkQ6gIiK1lW22nDLbP2Wcvv1zjNPXjLGEQhqPSJpjJudLrZymvZ1dGoo+3Xx/Sne+TnSva8bYac3qOv2x4Y1cuX4rk87RY8bZJ8zL1Zqx6JWJIp0w0N/X0FhwWbpJS3t1RfV42oGyKP3TpT3Smhg3u+nxe048JFe6SDuUbbacMku7VspzDZU2A1aeSsJmfEbahBSaqKIz0ipGslSYNCMeQlD09UhrLNiJ7nWr3pY882BaepKzT5iXKz3Jx4Y3cvm6h3ZXPk06x+XrHuJjwxszf8ZzU2q60tKlc3RcCUcj5Walm/To2DiOPd2kh0dGm59ByawrSrqQDqASrnY1Pb5gcCHvOfGQ3XfJesx4z4mHNH38jnZUTqkCrFwGFw1w27JT6k65LY1rRoXPWErXrbT0JM2oJGzGZ6x489H0Vo3g3TvLNFFFh8ykwqQsFc9FX4+kVoi10ltpcNEAn3rHMVN+y0+945hcv2UzzpmuXL81V3qSXz2b3P03LV06R8eVMCw+/ICGys2ZdJOW1umK7mlqUipZtDNOLhhc2PJBXiufP5Pm2CF8h7SPmgO3XjNuYjSr+0wzuvzM9DO6aZr7Ipjp9ijLzDhFXo/QZsJsxm8503OmZozhljRjZa106RwdVzprlsG7Tmj8ZriGlQlTV1QaFb1/urRHGeOkXZVTqiQqvlZNly1TpU0fPjtHd+myjT9V5Av0MtL2KDbNhDldMyrSQquMk9pUjnVGo2MYxZXxeqwMuqJ7WtH7p0t7KE6kEWXpO6/mwO3RjJZGRe8+IyKto5kwp2vGuEjN+AyRsmvGNZOux8LUFS2N1ExRslCcSCNWvPlohq69i4lYG/Ui9p1Xc+D2aFY3WN1FFZEkZWuJ2AzN6Eqv7vgi9TXjvETXY2Hqikoj0Am2ZKM4kbzKcnBTc+D20O8sIq1UlmNSszWjK72640s7dXOXSF2PhadrKo2k816079488uQziekitYQeO2U4uJXp7vQRL3we9/7sqcT0TivT7xySkLf5TIRe9kmYynBMKqOQ9+fFhx/Abfc9npgunXH2CfO4fN1DiemdFHIcS+sEP6aRmZ1mZpvNbIuZLet0fqRx6z/6umkFyov23Zv1H31dh3IkRaHYab0yjZNzy0dOmlZZcMQLn8ctHzmpMxmKKdPvHJKQt/lMqOwTKY+Q9+cr/uBV0yqIFh9+AFf8was6lCO5YHAh7znxkN0ti3rMeM+Jjc9K1iwhx7G0TtAtjcysB/gc8DpgG/ADM1vtnPtxZ3MmjVKBIo1S7LReme5Oh1xZUKbfOSQhb/OZUNknUh4h78+qIApPqF0iQ45jaY3QWxq9EtjinLvfOfcMcBVwZofzJCIiIiIiIiJSeqFXGg0AW2PPt/m0KczsXDPbYGYbduzY0bbMSXEpZiQPxYvkpZiRvBQzkpdiRvJQvEheihmpCL3SKGl4+GnDyDvnPu+cO945d/ycOXPakC0pOsWM5KF4kbwUM5KXYkbyUsxIHooXyUsxIxWhVxptA+JDxB8MbO9QXkREREREREREuoY5N63hTjDMbC/g/4BTgVHgB8C7nHObarxnB/BgjY99AfBoM/PZAd2wDoc659pSpZ0SM2X4jePKtD5p69KWmKlTxpTldy7LekDtdel0zBTpd1ZedVxqRBHzDM3Lt2ImO+U10unjEhRrW9RTlnUJ9VymLL9vMxTlt2goXoKuNAIws9OBTwE9wCXOuQtn+HkbnHPHNyVzHaJ1aL3Q85dXmdYn5HUJOW95lGU9IOx1CTlv1ZTXziviehUxz1DcfFcr0noor+Eo0/qVZV1CXY9Q89UJZf8t9up0Bupxzt0M3NzpfIiIiIiIiIiIdJPQxzQSEREREREREZEO6MZKo893OgNNoHVovdDzl1eZ1ifkdQk5b3mUZT0g7HUJOW/VlNfOK+J6FTHPUNx8VyvSeiiv4SjT+pVlXUJdj1Dz1Qml/i2CH9NIRERERERERETarxtbGomIiIiIiIiISB2qNBIRERERERERkWlKWWlkZqeZ2WYz22JmyxJef46ZXe1fX29m89ufy/oyrMd7zWyHmd3p/36/E/lMY2aXmNnPzOx/U143M/uMX78fmdmx7c5jknq/e1GY2Twzu9XM7jazTWb2Z53O00yZWY+ZjZjZ1zqdl7gSxUzNfbZIQor/IhyTsvxeZnaSmT0RO+b8v3bnM5aXn5jZRp+PDQmvB3l8aVSoZUxa3JjZCjMbjcXK6bH3LPfrsdnMlnQo39Pix8wOMLNbzOxe/3+2Tw8+lopQxvh8qJwJWKjlTF46l2mPssRLtaT4aeT4YGZL/fL3mtnSWPpxvlzZ4t9r7V3DBjnnSvUH9AD3AS8B9gbuAo6qWuaPgX/1j98JXN3pfDe4Hu8FPtvpvNZYh9cAxwL/m/L66cDXAQNOBNYHkOe6v3tR/oCDgGP9432B/yvqusTW6SPAl4GvdTovJY2Zmvtskf5Cif+iHJOy/F7ASaHse8BPgBfUeD2440srY6iDeUuMG2AF8JcJyx/l8/8c4DC/Xj0hxA/wD8Ay/3gZ8PdFiKWilDG14qVqGZUzgcZRUf50LqN4meG6TYufvMcH4ADgfv9/tn882792O/Aq/56vA2/o9Dpn+StjS6NXAlucc/c7554BrgLOrFrmTOBS//g64NQAa/myrEfQnHPfAR6vsciZwGUusg7oN7OD2pO7VIX/3Succw87537oHz8J3A0MdDZXjTOzg4EzgP/odF6qlClm6u2zhRFQ/BfimBTQ79UsIR5fGhVsGdNA3JwJXOWc+5Vz7gFgC9H6hSC+H14KDMbSQ46lQpQxoHImcMGWM3npXKYtShMv1VLiJ+/xYQlwi3PucefcTuAW4DT/2n7Oue+7qAbpsthnBa2MlUYDwNbY821M37l2L+OcexZ4AjiwLbnLLst6ALzFN4e7zszmtSdrTZN1HdspxDzNmG+KvghY39mczMingL8CdnU6I1VKGTNl0uH4L9wxqc7v9Sozu8vMvm5mR7c1Y1M54JtmdoeZnZvwepn2y0KsS0LcfMifn1xSacpPOOuSFD8vcs49DNGFGvBCnx5KntMUrowBlTMBKtO6lFJg5/LdFi95jw+10rclpAevjJVGSXdOXAPLdFqWPN4IzHfOvRz4L/bUgBZFiNshxDzNiJk9H7ge+LBz7uedzk8jzOyNwM+cc3d0Oi8JShczZRJA/BfqmFTn9/ohcKhz7hXAPwPD7c5fzGLn3LHAG4APmtlrql4P5jdtguDXJSFuLgYOB44BHgY+UVk04e2dWJd68RMXSp7TFKqMAZUzgSrTupROAOcy1RQvkbTfIW968MpYabQNiLe4ORjYnraMme0F7E94zRjrrodz7jHn3K/8038HjmtT3poly7ZqtxDz1DAz6yU6yFzhnLuh0/mZgcXAm83sJ0RNYE8xs8s7m6XdShUzZRJI/BfmmFTv93LO/dw59wv/+Gag18xe0OZsVvKy3f//GfAVpndxKtN+GfS6JMWNc+4R59ykc24X0flJZfsEsS4p8fNIpWuR//8zv3gQea6hMGWM/36VM2Eq07qUSiDnMtW6LV7yHh9qpR+ckB68MlYa/QA4wswOM7O9iQb8W121zGqgMor5W4G1vl9hSOquR1W/6TcT9XMtktXAOX7k+ROBJypN/zooS/wUgh+v4AvA3c65f+p0fmbCObfcOXewc24+0TZZ65x7T4ezVVGamCmTgOK/EMekLL+Xmb24Mg6Kmb2S6Bzisfblcnc+nmdm+1YeA68HqmfJCfH40qhgy5i0uKk6P/kd9myf1cA7LZrN6zDgCKJBQdumRvzE98OlwFdjeQ45lgpRxoDKmcAFW850s4DOZap1W7zkPT6sAV5vZrN99+zXA2v8a0+a2Yl+254T+6ywuQBG4272H9FI5v9HNKr7R33ax4E3+8fPBa4lGoDxduAlnc5zg+txEbCJaMT6W4EjO53nqvxfSdQsfYKoZvX9wAeAD/jXDficX7+NwPGdznPa717EP+A3iZo8/gi40/+d3ul8NWG9TiKQmVVieSpLzEzbZzudpxmsSzDxX4RjUtrvVVVmfyh2zFkHvLpDv+dLfB7u8vmp/KbBH1+aGUMh/NWImy/53/1HRCfVB8Xe81G/HpvpwKwxNeLnQOBbwL3+/wFFiaUilDF14kXlTAB/oZYzDayHzmUUL02Nn0aOD8Dv+TJ3C/C+WPrxRBXQ9wGfBazT65zlz3zmRUREREREREREditj97RSMLMvmtkF/vFJZrat3ntEOsHMfmJmr+10PkQkDGb2CzN7SafzIZ2lOOguZnaI3+Y9Lfr8b5vZ77fis6WY2nl9pPiTavFr9ZTXnZm9tJ15aiVVGgXAF0Q7zew5nc6LNF9SpYqZvdfMvtvBPP2NmT3gT/C2mdnVsdd0YOwAHyfPWNWAn2Z2pz/wzG/wc//NzC5LSH+5mf3KzA5oLMe7P0flVwf5uBn3+/JOM7vJzObVf2eu71hhVQPP++3+S/+9lb9XATjnnu+cuz/jZ5/pY/znZvaomX2rEuv+eyeqvuOv/Gv/aGb3mtmTZnaPmZ3TzHXuVmb2TjNbb2ZPmdnP/OM/rowxk7B86klznjjwn/VeX9a9vdH8S3tUlTu/MLNfAM/6bT7Z6fxJe5nZcjO7uSrt3pS0d7YwH5W4fNLMxszse2b2ATNr6fWumR1tZt/0x+AxM7vDzE73r51kZruqjmM3tjI/3WSm585mtreZfcJfC/3CXxt9spV5LipVGnWYD+bfIuqv+uaOZka6gpktBX4XeK1z7vlEfWu/1dlcifcAcHbliZktBPpm+JlfBM6yaCDPuHOIxobKNYOORTPvVB7PJ2P5ZS26+ywAvMnvywcBjxBNU90OH/IXiZW/7+d5s78DdxnwF0SzOR0G/AuwK7bY1VXf8Q8+/SngTf59S4FPm9mrZ7pC3czM/gL4NLAKeDHwIqLxWxYDeycs3+x9einRjF5Lay0UL4Oko95UtW+mzgBkEV1zlNd3gMWVMsHMXgz0AsdWpb3UL9tKb3LO7QscCqwE/ppoIOlWuhG4hajMfCHwp8DPY69vr9pX3tTi/HSbmZw7Lye6DnolsC9wMjDS7AyWgQrwzjuHaKC/L1LnRKnCzOaa2fVmtsPXiP6pT3+xmT1tZgfGlj3OL9fbiszLzJnZr/u79mNmtsnM3hx7bUqrH4u1UPInYZ/0d4OfMLMfmdnL/GvP8XfiHzKzR8zsX82sUoD+BtEI/vcBOOd+6pz7vH/fhUSVAJ/1Ne6fNbPPmdknqvJ8o5l9OGFdZpnZMjO7z8weM7NrbIYtWbrMl4jKhIqlRBfVAJjZGWY2YlGrjK1mtiL22nPN7HL/u4+Z2Q/M7EX+Qn4UeEts2R7gXcCl/vkKv60u83foNpnZ8bHlf2Jmf21mPwKeil20pZZfFrVAuNjMbjazp4CTa8WlRTNMfM2XVzv94/i0pFKHc+6XwHXAUQBmdrqZ/dhv01Ez+0uffpK/q/ZXvvx42MwG/fL/Z2aPm9nf+GVPA/4GeIcvE+6qlw+LNcn2cfA5i1pAPWlRy5XD/aLHAA84577lIk865653zj2UYV3Pc87d45zb5ZxbD/wP8Kr8v5oAmNn+RAMn/7Fz7jq/LZxzbsQ5927n3K+S9uk6n+nM7KUWzRLzU4tVMpnZ7/jypPL8UOC3gXOBJWb2othrlXj9azP7KfCfPv2NFt1NrrQoeHnsPZXj0JN+H/idJv1UksLM5vttvpd//m0zu9DMbgOeBl5iZvub2Rd8mTNqZhfYnkqF95rZbWb2zxad09xjZqemfNfhZrbWH+8eNbMrzKw/9vo8M7vBH08eM7PPxl77PTO72x9n1vjYq3lOJXX9gKiS6Bj//DVEE/Rsrkq7zzm33cxe7c9RnvD/d1f4W3SNs9ofh7aY2R/EXuvz5dBOM/sx0flsIufcE8651cA7gKWW7fy4uvXrff4YOIWZHeTj4y8tauFyGPDvzrln/N9tzrmO9SboQvXOnfe36Px2h5k9aGYfsz2V2L8BfMU5t90f837inIu/N/UarZqZDfmybbuZ/V6T17HjVGnUeecAV/i/KSdKSXyQ30g0m8MAcCrwYTNb4pz7KfBtIN60+z3AVc65iRbkXWbIosq8G4FvEt2d+BPgCjNbkOHtryc6CP8a0E90YKxMS/v3Pv0Yojs7A8D/86+tI5oecsjMjo+fyDvnPkp08VVpQfAhooqFsysFrD9Anko0u0C1PwUGiU7+5wI7iWYVkGzWAfv5g1QP0TaNdwt6iqjM6AfOAP7IzAb9a0uJWl3MI5rl4QPAuH/tMqYeUF9LdIL39Vjam4Gr/GevJprRIe5s/539zrlnfVq98utdwIVEd2++S+24nEV0MXgocIjPe3UepAYz24coZtb5pC8Af+jvur4MWBtb/MVEMypVtsG/Ex0vjiOqOP5/ZvYS59w3gL9jT4ufVzSQtbOB84HZRLOIXOjTfwgc6S/UTjaz5zfw2fgT/t8gmuFIGvMq4DnUn/q3ep+uyzm3jqjsOqXqc74ce34OsME5dz1wN/Duqo95MXAAUflwrpkdC1wC/CFRefdvwGrb0032PqI43p8o9i43s4Oy5Fea6neJKgL3BR4kOp94lqj8X0R0HhPvDn8CcD/wAuA84AZLvvFkRDMIzwV+nei4twJ23xT5mv+++URl3FX+tUGiSvCzgDlE5zuVc5la51RSg3PuGWA90e+H//8/RGVEPO07fnveBHyGaN/9J+Am23PD+0qiGavmAm8F/i5WeXgecLj/W0KGm+3Oudv95/2WT0o9DzGzVxKdLw0RxcBrgJ/EP8+iFtb/DXzWOfePRDGyhaiMGax3HSctUe/c+Z+JjgUvIbo+OQd4X+y9H7GoG/ZCsz1dsfNco/nKxb8EXgccQXSeXS6dnr6tm/+IplGcAF7gn98D/Ll//EXgAv/4JGCbf3wC8FDV5ywH/tM/fgdwm3/cA/wUeGWn17Wb/4gOOL8AxmJ/TxMdTH/Lb6NZseWvBFb4x98Gfj/22nuB7/rHpxBNdXli1fuN6AT98Fjaq4ju6Feevxv4L7/cY8Cy2GtTvtOn3Q28zj/+EHBz1fq9NrbcqbHXDvIxvlent0Pof5XfEfgY0cnwaUTNnfci6v41P+E9nwI+6R//HvA94OUJyx3it8PB/vkVwKdjr68A/iv2/ChgvCpvv1f1manll3/+ReCyPHFZ9fnHADs7vV1C/6sqX54FtgML/WsPEV1U71f1npOIKuV6/PN9fYydEFvmDmAwFh+XV33Gt4nKsUqZ9sPYaw54aSwO/iP22unAPbHnJwLXADuAX/rlnx/73meYWnbOTfgNLgW+QUGmrQ3xj6jC8KdVad/zv/k40cXTlH06tn0vSPnMeBxcAFwSi7engENjy94LfNg/Xg7cVRWvzwDPjaVdDPxt1fdtBn47JS93Amd2+ncuyx/Tz2uGiSpoHP5478uIj8fe8yLgV0BfLO1s4Fb/+L1E5ZfFXr8d+N3Y5/1+Sn4GgRH/+FW+PJl23kF0o+T9seezfDl2KCnnVPrLHBMriFpsQHRj+wii85h4WmV4hNur3vt9v/3nAZPAvrHXLgK+6B/fD5wWe+1c/PVRLC5fm5C3dcBHqXMeQlT5/MmU9fs2UQXXT4Czq147mOgm131E3au/AxzhXzvJp8WPY2/v9PYqyx/1z50P9+XOUbH3/CHwbf+4B/ggcJtfbjuw1L9W7xrti+y5Vr8EWBlb7teIHQPL8KeWRp21FPimc+5R//zL1K81PxSY65vJjZnZGNFdk0rN9leBoyyaseR1wBMuqmWXzhp0zvVX/oA/9ulzga3OufgYHg8S3fmoyTm3lugg9TngETP7vJntR3T3bB/gjliMfMOnV957hXPutUR3Uj4AfNzMltT4ukuJLirw/7+UstyhwFdi33s30QmA7rxk9yWiu/DvJda8FsDMTjCzW30T2yeItt0LYu9bA1zlm8b+g79Lgou6+3wHeI9vzTGI75oW89PY46eB59rUsUO2Vi2fpfyKv6dmXJrZPhYN2v2gmf3c57ffNBZSFoO+XHkOUaXuf1s0fsRbiCppHjSz/zY/ULX3mNszYG2lRdojsdfHgXotf/40Vq4dW2O56tja/bnOuXXOubc75+YQnaC9hujkvuKaeNnpqsZNMbNVRK2o3u78mZo05DHgBfF93jn3ah9Xj7GnZXp1OZDVl4nGVnsOUSuPHzrnHgQws8VE3Tuuii270MyOib1/h4u6X1YcCvxF1bnQPKJjKmZ2ju3pujZGFCNTBkqVGYuf1wymLBOPl0OJWrg+HNsu/0Z0B79itGo/fhC/TePM7IVmdpVFXdx+TtSqoLJ95wEPuj0tYuMOJRr/rPL9jxNVJAzUOKeSbL4D/KaZzQbmOOfuJap4frVPe5lfZi7Rdo2rnPfOBR53zj2Z8Br+9a1Vr2UxQLSt650fzyOq+EnzbqLu/tfFE51z25xzH3LOHU4UY08x9fxte9Vx7JqM+Zbs0s6dX0A0Jl88VnbHlHNu0jn3OefcYqJroguBS8zs18l3jdZobBaGKo06xDenfzvw2xb19f8p8OfAK8ysVvP/rUQ14vHCZ1/n3Omwe0yLa4gKtt8l/eJewrAdmGdTB4g8hOigBNGBZ5/Yay+Ov9k59xnn3HHA0US12kPAo0QXfEfHYmR/Fw2US9X7J5xz1wI/IjqgQ1QzXu1y4Ewfm79OdFcxyVbgDVXx+Vzn3GjK8lLFX0g9QHSxf0PVy18m6jo2zzm3P/CvRCe8lW15vnPuKODVwBuZ2iXtUv/8LURlyA/zZq3yIEf5FY+lenH5F8ACotYu+7GnSXvirE0ynT/5uYGoovY3nXM/cM6dSXRRNkx0bGjoo5uVx5pf4ty36kUDAAAgAElEQVQPiGI+0zgiZnY+8Abg9c65n9dbXmr6PtFd1jPrLNdQLDjnfkx0Ev0GpndNW0q0n9/py5L1Pj1eflV/71bgwqpjzT7OuSstGqPm34kqUA/0FV//i8qSTohvt61EMfaC2Dbbzzl3dGyZgXj3EKLzoaQBti/yn/1yf7x4D3u271bgEEseMH0rUZfdeNz0Oee+B6nnVJLN94m6AJ1L1GoDXy5v92nbnXMP+OeHVr23ct67HTjAzPZNeA3gYaKKnfhrNZnZbxBd5H+X+uchW4lapqRZ4T/jy2k3tJxzW4kqHjUeVhvVOHd+lKhVfDzm4jEV/4xx59zniIbWOIr612hxuWOzaFRp1DmDRCf2RxF1wziG6GL8f5h6olTtduDnFg0I2WdmPWb2Ml8oVlxGVNP6Zqb26ZTwrCeqGPorM+s1s5OIZgSq3HG9k+ju7D4WDSz7/sobzew3fMuTXv8ZvwQmfY34vwOfNLMX+mUHKi2JLBps8gwz29eigavfQHSCVDlRf4So3+9uzrltRAMdfgm43jk3TrJ/BS60PQNLzjGzehchMt37gVOcc09Vpe9LdBful77v/bsqL1g0JsxCfyLzc6KDZHzq4+uJDmjnM72VUV65y696cenXbRwY82MenDfDPHYdi5xJNHbQvWb2bjPb30Vj2v2cqfGQxyPAfGvy7Edm9ptm9gexeDiS6Li1rvY7oymeieL/dc45jTsyQ865MaKy4V/M7K1m9nx/fDgGqJ55sVqPRQPxV/6mzbTmfZlo3LvXANdCNIA/UQX0uewpS44hGjvi3SkX/hCVJR/wx0Azs+dVjms+v46oixJm9j50AddxzrmHicYG+YSZ7efj63Az++3YYi8E/tSfD72N6Lhyc8LH7YvvHmdmA0yt3Lmd6AJupY+L5/rWbBCdoyw3s6Nh9wC5b/OPE8+pmrX+ZefPCzcAHyE6F6j4rk+rzJp2M/BrZvYuM9vLzN5BdC7xNV/h8j3gIr/dXk50PnSFf+81RNtvtkUTZfxJWn58jL2R6Hz6cufcxgznIV8A3mdmp/r4HPDHpYoJ4G1EZcyX/DKzzex8iwb9n2XRuJ+/R4bjmDRd0rnzJFHcXOivew4lisfLAczswxZNttDn43EpUfkyQv1rtLhrgPea2VEWjS9ZunNYVRp1zlKicYgectHsVT910UDWnyVqJZR4ouS7E7wJP+sMUQ3qfxDV7leWuY2o/+wPnXM/aelayIy4aPDANxPdfX2UaLrpc5xz9/hFPkk0lsMjRBf6V8Tevh/RwW8n0R3cx4B/9K/9NdHAfOssarr9X0StOCC6ePwbovFOxoB/AP7I7Znp4dPAWy2aneIzse+7FFhI7dZrnyZqCfNNM3uS6KB5QqYfQ3Zzzt3nnNuQ8NIfE3UlfJJo4MZ4y5EXEzWZ/jlRt8D/JlZp7A+ilYqjeBw1omb5VeNCr1ZcfopoitRHieLmGzPMYze50cx+QbTtLyTaPncTtTb9if+tP8CeLqZ5Xev/P2ZmeVuo1TJGVP5t9Pn/BvAVojKpnr8jupN3r0Wzuv3C/Ixv0hjn3D8QnUz/FfAzouPOvxHtt9+r8dZlRBW+lb+1KctdSTS+x1q3p1vroH/PZVVlyReIxpqYNnORz+sG4A+IypydROXKe/1rPwY+QdTy4RGi49ZtNVde2uUcoq4iPybabtcRjX1YsZ5oLJxHicqyt6ZUCp8PHAs8QTSo8u6WBbHz5JcSnedsIxrvE+fcV4gGQr7Kl4v/S3T+BbXPqSSb/yaq+IsPkv8/Pu07AH57vpGodfFjROXNG2NlwtlE42NtJzoenOecu8W/dj7RtnmAqAIy6Xz0Rn+OtJWoq/M/sWfQY6hxHuKi4TzeR3Tu/YRfnymtovx5+1l+nS4hOkef7z+nElO/wpdH0j41zp3/hKjy536i2Pwy0baD6PjzCaJu9I8SjW/0Fufc/Rmu0eLf/XWi89i1RPGVdhwsLHMaAqCUzGwt8GXn3H90Oi9SDmb2GqJKiPlV/XtFREREGmZm7yUa6Po3O50XERGZKu1usBSYRV3VjqX+2AQimfjm2n9GNAuSKoxERERERES6gLqnlYyZXUrURPLDbursAyINsWgGgTGiJuSf6nB2REREREREpE3UPU1ERERERERERKbJ1NLIzP7czDaZ2f+a2ZV+RPvDzGy9md1rZldXZssws+f451v86/Njn7Pcp2+OjVSPmZ3m07aY2bJYeuJ3iIiIiIiIiIhIa9VtaeSnsvwucJRzbtzMriGaLvF04Abn3FVm9q/AXc65i83sj4GXO+c+YGbvBH7HOfcOMzuKaOaMVwJzibpQ/Zr/mv8DXkc0w8EPgLOdcz/23zXtO2rl9wUveIGbP39+I7+FBOSOO+541Dk3px3fpZgph3bFjOKlPBQzkoeOS5KXYkby0nFJ8lLMSB6NxkvWgbD3AvrMbALYB3gYOAV4l3/9UmAFcDHR4MsrfPp1wGfNzHz6Vc65XwEPmNkWogokgC3OufsBzOwq4Ewzu7vGd6SaP38+GzYkzbYnRWJmD7bruxQz5dCumFG8lIdiRvLQcUnyUsxIXjouSV6KGcmj0Xip2z3NOTcK/CPwEFFl0RPAHcCYc+5Zv9g2YMA/HgC2+vc+65c/MJ5e9Z609ANrfMcUZnaumW0wsw07duyot0oiihnJRfEieSlmJC/FjOSlmJE8FC+Sl2JGKupWGpnZbKJWQocRdSt7HvCGhEUr/dws5bVmpU9PdO7zzrnjnXPHz5nTllbAUnCKGclD8SJ5KWYkL8WM5KWYkTwUL5KXYkYqsgyE/VrgAefcDufcBHAD8Gqg38wq3dsOBrb7x9uAeQD+9f2Bx+PpVe9JS3+0xneIiIiIiIiIiEgLZak0egg40cz28WMTnQr8GLgVeKtfZinwVf94tX+Of32ti0bbXg2808+udhhwBHA70cDXR/iZ0vYG3gms9u9J+w4REREREREREWmhugNhO+fWm9l1wA+BZ4ER4PPATcBVZnaBT/uCf8sXgC/5ga4fJ6oEwjm3yc+G9mP/OR90zk0CmNmHgDVAD3CJc26T/6y/TvkOKbDhkVFWrdnM9rFx5vb3MbRkAYOLEoerkpLRtpd2CTXWQs2XSNloX5M4xUM5abt2jn777pJp9jTn3HnAeVXJ97Nn9rP4sr8E3pbyORcCFyak3wzcnJCe+B1SXMMjowxdexcTu6LhqUbHxhm69i4AFTQlp20v7RJqrIWaL5GyGR4ZZfkNGxmfmASife3Pr76TD199JwO6uOk6Knvbrx0VCkn7+fIbNgLarq3WDb+9KsWmytI9TaRpVqzetPugXTGxy7Fi9aaUd0hZaNtLu4Qaa6HmS6RsVq3ZvPtipqKy51UuboZHRtufMekIlb3tValQGB0bx9G6fS5pPx+fmGTVms1N/R6Zruy/fbtiuEhUaSRtNTY+kStdykPbXtol1FgLNV8iZbN9bLzm62W6uJH6VPa2V7sqFNL283r7v8xc2X/7sleKNUKVRiIiIiJSGnP7++ouU5aLG5HQtKtCIW0/z7L/y8yU/bcve6VYI1RpJG01e5/eXOlSHtr20i6hxlqo+RIpm6ElC+jr7am5TFkubqQ+lb3t1a4KhaT9vK+3h6ElC5r6PTJd2X/7sleKNUKVRtJW573paHp7bEpab49x3puO7lCOpF207aVdQo21UPMlUjaDiwa46KyFDPgTfKt6vUwXN1Kfyt72aleFQnw/N2Cgv4+LzlrY1YMVt0vZf/uyV4o1ItPsaSLNUilMNBp999G2l3YJNdZCzZdIGQ0uGti9b2kWnO6msre92vl7x/dzaa8y//YqM6ZTpZG0XZkLGalN217aJdRYCzVfImWm/U4UA+2l31uKTjE8lbqniYiIiIiIiIjINKo0EhERERERERGRaVRpJCIiIiIiIiIi06jSSEREREREREREplGlkYiIiIiIiIiITKNKIxERERERERERmUaVRiIiIiIiIiIiMo0qjUREREREREREZBpVGomIiIiIiIiIyDSqNBIRERERERERkWn26nQGpPsMj4yyas1mto+NM7e/j6ElCxhcNNDpbEkbaNtLu4Qaa6HmSyRk2m+KS9tOmk0xJe2gOJtKlUbSVsMjoyy/YSPjE5MAjI6Ns/yGjQBdvSN2A217aZdQYy3UfImETPtNcWnbSbMppqQdFGfTqXuatNWqNZt374AV4xOTrFqzuUM5kkYMj4yyeOVaDlt2E4tXrmV4ZLTue7TtpV1CjbVQ8yUyE40cD/LQflNcIW27Vsdp0RXl9wkppqQ5Qow9xdl0amkkbTU6Np4rXcLTaO379pRtnJYu0qhQy5lQ8yXSqHbcjdWxo7hC2XZqNVBbkX6fUGJKmiPU2FOcTZeppZGZ9ZvZdWZ2j5ndbWavMrMDzOwWM7vX/5/tlzUz+4yZbTGzH5nZsbHPWeqXv9fMlsbSjzOzjf49nzEz8+mJ3yHF1RNt2szpEp5Ga9/n9vflShdpVKjlTKj5EmlUO+7G6thRXKFsO7UaqK1Iv08oMSXNEWrsKc6my9o97dPAN5xzRwKvAO4GlgHfcs4dAXzLPwd4A3CE/zsXuBiiCiDgPOAE4JXAebFKoIv9spX3nebT075DCmrSuVzpEp5Ga9+Hliygr7dnSlpfbw9DSxY0LW8iEG45E2q+RBrVjruxOnYUVyjbTq0GaivS7xNKTElzhBp7irPp6lYamdl+wGuALwA4555xzo0BZwKX+sUuBQb94zOBy1xkHdBvZgcBS4BbnHOPO+d2ArcAp/nX9nPOfd8554DLqj4r6TukoAZSamjT0iU8jda+Dy4a4KKzFjLQ34cRbfOLzloYXNNnKb5Qy5lQ8yXSqHbcjdWxo7hC2XZqNVBbkX6fUGJKmiPU2FOcTZdlTKOXADuA/zSzVwB3AH8GvMg59zCAc+5hM3uhX34A2Bp7/zafVit9W0I6Nb5jCjM7l6ilEoccckiGVZJOGVqygKHr7mJics+d9d4ea3vNrWKmcUNLFkzpfwzlr31XvBRLCOVMUsyEkC8JVxHLmazHg5lOXTy4aKCrT9bTFDFmOqEbz1uSpMVLrd8nxGnHVR60T60yphmxEfK+qTibKkv3tL2AY4GLnXOLgKeo3U0saXAG10B6Zs65zzvnjnfOHT9nzpw8b5VOqN66HeiZoZhpXKO175XB7kbHxnHsGewuhFkS6lG8FFCHy5nUmAmg/JMwFbGcyXI8KHLZH7rQYyaUba9WA5G0eEn7fYAgtp90TlrMNGvf1r5ZHFlaGm0Dtjnn1vvn1xFVGj1iZgf5FkAHAT+LLT8v9v6Dge0+/aSq9G/79IMTlqfGd0hBrVqzmYldU6+SJnY5Vq3ZrAKiQBqpfa812J22vTRTqOVMqPkSmYl6xwOV/d0rpG2vVgO1Jf0+i1euDWb7SViauW9r3yyGui2NnHM/BbaaWaWd2KnAj4HVQGUGtKXAV/3j1cA5fha1E4EnfBezNcDrzWy2HwD79cAa/9qTZnainzXtnKrPSvoOKahQBzyT1tO2l3YJNdZCzZdIK6XF96jivvRU5hVbK7bf8Mgoi1eu5bBlN7F45Vq1Wiqobti3FatTZWlpBPAnwBVmtjdwP/A+ogqna8zs/cBDwNv8sjcDpwNbgKf9sjjnHjezvwV+4Jf7uHPucf/4j4AvAn3A1/0fwMqU75CC2r+vl7HxicR0KY5G+jFr20u7hBproeYLmjM2gXSvWvEzt78vsYLI/PsUZ+UVUpmnMq62pN8nbd9tdJDiSpemSguVSpcmQNuiYJodG1m0cx9WrE6XZUwjnHN3+v6ML3fODTrndjrnHnPOneqcO8L/f9wv65xzH3TOHe6cW+ic2xD7nEuccy/1f/8ZS9/gnHuZf8+H/CxqpH2HFNfE5K5c6RKeRvsxW9LoZTXSRRoVajkT6j4QyrgjUkz14mdoyYLUwStXrdnczqxKm4VS5qmMqy3t9zn5yDlNnXa8VpcmKZZ2T0nf7n1YsTpdpkojkWZ56pnJXOkSnkYL0rGnp99trJUu0qhQy5lQ9wGdHMlM1IufwUUDqeO9x7syqCtA+YRS5qmMqy3t97n1nh1NHaQ4tC5NKnMa1+4BrJu9D9fb9qHFagiydk8TEQEaL0j79+llZ8KJYv8+ne+aI9IOoe4DOjmSmcgSPwN1ujKoK0A5hVLmqYyrrdbv08xBijvRpSmNypyZa+cA1s3ch7Ns+5BiNRRqaSRtldYiWT2UiiOtwKxXkLqUW81p6SKNCrWcCXUfaHSfFoFs8VOvK4NagpRTKGWeyrja2vX7tLtLUy0qc4qlmTGaZduHFKuhUKWRtFXaeYLqDYqj0YL0iYTBMGulizQq1HIm1H1AJ0cyE1nip15XBrUEKadQyjyVcbW16/dpd5emWlTmFEszYzTLtg8pVkOh7mnSVmlN1Ad0t6cwKgVm3hkM1NRT2iXUcibUfaDRfVoEssdPra4Moe4bMjOhbFeVcbW18/dpZ5emWkKJTcmmmTGadduHEquhUKWRtNXQkgVT+pGC7vYUUSMFqba9tEuosRZqvkAnRzIzM42fkPcNaVxI21VlXG3d9vuEFJuSTbNiVNu+Mao0krYaXDTAhgcf58r1W5l0jh4z3nJcdx2oymB4ZDR3bb/u9Em7hFrOhJovkbwaOQbUouNDOanMK45m79OhU5nTvbJu+27bJ+pRpZG01fDIKNffMcqkHwVx0jmuv2OU4w89oKt3xCKZyYwT3XYnSzoj1HIm1HyJ5NGqWYd0fCgflXnF0K0zianM6V71tn237hO1aCBsaSvNVlB8M9mGwyOjLF65lsOW3cTilWsZHhltVTali4VazoSaL5E8mhnHOiaUW0hlnmItXbO2k35jKYuQyq5QqKWRtFXSwGO10iU8jc44oVp7aZdQy5lQ8yWSR7NmHdIxofxCmaFKsVZbM7aTfmMpE52vTaeWRtJWPWa50iU8aTNL1JtxYqa19rqDJVmFWs6Emi+RPBo9BlTLekxQ2V9czYqVmVKrgdqasZ30G0uR1Duu6HxtOrU0kraq9GvPmi7hGVqygI9cfSe7YmmzfHotM7mTpTtYkkeo5Uyo+RLJojIo6OjYOAbEo7Z65pksA4hmOSao7C+2oSULGLr2LiZ27YmW3lnW9lmK1GqgtpOPnMPl6x5KTM8q6zle3sGFNRhx+bV7G2c5rjT7fK0McayWRiKSy4YHH59SYQSwy6fXMpM7WbqDJSLSOZWT7MpFtgMq91sH+vu46KyFu0+A48s69pyQV9/JzXJMUNlfAtU35jtwoz7tK7u3zcBUt96zI1d6kiz7c9ayodHlpXg6sY2zHFcGUuI5Lb2WssSxKo1EJJcr12/NlV4xtGQBvT1TT9F6e7LdcQxlXAQRkW6UdJLtiJrqbx8bZ9WazbtPgLNW9AwtWUBfb8+UtOoWSyr7i23Vms1MTE69Mz8x6dpe6ZfWNkBtPCPN2M+y7M95K4GzLK/uq8XWiRsDWeI9SzxnVZabH+qeJiK5zKTJ5uQuV/N5mrn9fYnNyNs9LoKISDdKO8mulPvx5v1py46OjTM8Mrq7RVLlf60m+yr7i03dwophpvtZpevN+MQkPWZMOsdAwv6ct3KqXrq6rxZfJ24M7N/Xy9j4RGJ6RZbjU1bNXsdOdXVTSyMRyaXRweHOv3ET1XVEu1yUXk8za/xFRCS74ZFRZmUY/LNy57TWheZfXHsXx5z/zd2tAgBuW3YKD6w8g9uWnTLtxFdlf7HNSgmbtPRWmb1Pb670bjO0ZAG9VRsl69hT1V1XJ53bvY/Gu6wuXrk2tWXXLLPElkL1uryVpQVHN8szdEWzWpWlHc5aNcZ11nXMsn6d7OqmSiMRyeXEl8zOlV6x8+nptfq10uMGFw1w0VkLGejvw5g+hoaIiDRf5QQ16+Cf28fGEyt6KiZ3OcbGJ6ad7KadLKvsL7a0xsQZGxk3zRkvPyhXeldqcOypehU31ZVKSSad210mfPjqO1n08W8yPDJat9JY3VeLL+uNgayVJVkqXsZSrjvi6c2snMmyjlm/r5MVpeqeJiK5bNr+ZK70ZhlcNKALBRGRNko6Qa2lf5/e3eX0h6++s+7y4xOTrFi9iV89uyu1i4nKfpmpZgz0XGa1xp6qt+/Vq7ipVYZUurJV2/n0BMtv2MhFZy3korMWpnbFUffV4svaDaxWZUn1JAz1uitmiZss31f5znp5z7KOWb+vkxWlqjQSkVyS+gHXShcRkWLKeyL6i18+u3vcoiyVRpB87Eg6WRZplFqk1DaT36fe+DC1WhjtqtGCsVIGJHVbrRhasmBKJQGo+2o7NWtsnSw3BrKMj5a14iVL3GTZJ/KMqVVvHbPug52sKFX3NBERERGZJu+J6MSuPTNj7dM7s1NMXdBLs+QZN6UbzeT3qTc+TFovN8vw+fXKgHj3VYhaLlUqCTSLWms1s/tWli5lWcZTzVrxkqXbc5Z9opldxbLug50c50+VRiIBKNKUobVOAEREpDxqjU+UZrufJa26u0uSvt6e1MGIdUEvzXLykXNypXebmVyI1huvMq0UcCnfGzfLrO758OCigd2fUz2bY8jn0kXXrAqT4ZFRhq69a0rl09C1d03bdllmbu5POZYkpQ8uGpjxJAzNbMGYdR/s5Dh/mSuNzKzHzEbM7Gv++WFmtt7M7jWzq81sb5/+HP98i399fuwzlvv0zWa2JJZ+mk/bYmbLYumJ3yFSJp0cCb8RtU4ARKT5ilSpLOVSOUHt78s+y9QsM1as3sREndGOe8y46KyFqYMR64JemkVjGtU2uGiAtxw3sLvVRo8Zbzku21hitWbOPWzZTXW/t1b5MulcpvPhmVRg6PjamGZVmCQdKyZ2OVasnjqz8kDKTYR4elpvx4zzOEwxuGiAYw/Zf0rasYfsn7s1UkW9OMtTGVSvwqtV8oxp9GfA3cB+/vnfA590zl1lZv8KvB+42P/f6Zx7qZm90y/3DjM7CngncDQwF/j/7L19vFxVdf//WfcygRtEbiKxX7hJCCINJY0QSSGaPggo4UHh/ngQEJW2VmyrrSBeTTCVoChpU0Vtrf2hoihPCSFeg2ADFbTfUhNJuAkxQEp4SjKJEkhuELiQm5v1/WPvc3Nm5pyZc2bOzNnnzOf9euWVO3vOzNlz9tp7r732Wmv/p4j8vv2ubwJ4D4CtAB4WkeWq+liVexCSG6LG4BJC2o84MfOERCUoFwVQmqjzlGMn4CfrtsfOVzeiWvMzhU7BoguOR++MntCFHRf0JCmY06g6/QNFLP7VllGvjRFVLP7VFsw8cnzVeaZ/oFj1ZMVqa3XPw9DL9dI/UMRVS9ZVfN/Q8AiuWrIOVy5eG5o3p9725fxaP0nl1omaJ7VvzlT0LV1X4sFa6JQST5zdId8VVF4rH9P8/vV46KmdJZ956KmdmN+/Htf1Th+tU5ScWknL2fz+9bh9lemvnSK45ORJo3VqJpE8jURkIoCzAXzHvhYApwJYai+5GUCv/ftc+xr2/dPs9ecCuENVX1fVZwBsAnCS/bdJVZ9W1T0A7gBwbo17EJIbqMwQQsJI83hVkk+CvFv77lyHvqWlIQK3rNzctAMODh5zwKiyzDmQNBvmNKpOVG8PP944Ug+FTsE175s2+j2zFz6AKxevrRqCVM0Tv972zcr86qI3VCq5dcrFo+x1VDnoHyjiU0vWlsx3n1qytuS53rpyc+B3+cujegdFkbP+gWLFHNy3tDJMb37/etyycnOJgfeWlZsxv7++vhiHqOFpXwPwGQD77Os3ARhU1b329VYA3hPqAbAFAOz7u+31o+Vlnwkrr3aPEkTkchFZLSKrd+zgzhSpjUsyQ2XGfVySF5INkpIZLqjbh1aNM0EK7PA+jZSDKCn8O79hc12HiFOLJBfh3BSNvjlTKxY8Hba8nQiTl3pOxQ0aR6IyptO0RrkBOwpBRp2w3Eiv7tlbdezIwvyadgqLMJlJKrdOWE678vJFKzYGGjb9shC1n1+97FGUR0/vU1PuETUVR5RQsShydu3dGyrm4OERxbV3lxpub1sVbMwKK0+SmkYjEXkvgOdVdY2/OOBSrfFeUuWVhao3qupMVZ05YQJj4EltXJIZJmh0H5fkhWSDpGQmq0ZlF3dGXadV40ySC6Iq6Uyq4pffsAVfLe8CwrkpKquf2zm66+2xz5a3E0nKSyPjyCt7RnDl4rWYt+zRugxP5WFRYbmRdr06XHXsyML8mrY3VLPHmLCcduXlUQwvUfv5q8PlV1Uvr0YUXSeKnNVKKO8RliqwRgrBRIjiaTQbwDki8ixM6NipMJ5H3SLi5USaCGCb/XsrgEkAYN8/FMBOf3nZZ8LKX6hyD0JyAxM0EkLCSPN41XpJe2eUVCfJBVE9CUbL5bd8xzoosa6LISMkO6S5O58FDjwgeDkYVg40Po4ogKEqi/Ra9uigRMIHH1iZqrfa2JGF+dVVb6ik5vmoa6AohpfbV20JvCasvFGiPoMsyFkUahqNVHWeqk5U1SkwiawfUNVLATwI4AJ72WUAfmz/Xm5fw77/gKqqLb/Ynq52FIBjAPwKwMMAjrEnpY2x91huPxN2D0Jyg6sTAiEkfdI8XrVe0t4ZJdUJUmALHXW6DMXEOzHNL7/lCUnD8ppwTiT1kubufDkuemG+vjfYeBNWDphxpFmjRk93F55ZeHbVa8rDdoD4+nQW5ldXvaGSmueDkmkHlUcxvFTLidUMoj6DRk4nLKerEGy6CStPkjinp5XzWQB3iMh1AAYAfNeWfxfAD0VkE4yH0cUAoKobRGQJgMcA7AXwcVUdAQAR+QSAFQA6Adykqhtq3IOQ3JDUCQSuU+gAgjaVWjDOEZJpvNNlsgIN4W7jyVL5yTFXLF5b1/d1FTojhZgIgK+8//gKg1H5qTKC4FwEeZsTSfuRp9O6emf0YPVzO3Hrys2R8xFFwW8I6AnRj/BM4WwAACAASURBVIHgcJ569GnX59eoJ3S1mqTm+U6RQKNOucdp2Lzlb7uo35UUUZ9B/0ARd60pliSvvmtNsebphEGcf+JE3BKQpPv8EyfG+p56iGU0UtWfA/i5/ftpmJPPyq95DcCFIZ//EoAvBZTfC+DegPLAexCSJ9KaEGodN5k0YRtWVTayCCEZpF0M4VkmaKFUr9Eoak6Sdx5dqSAH7dR6SS39qr8LiyRCGqWaZ4LLhoswruudjplHjseiFRtDjTtR8Bb7nSIlnhpxjdmuGlgaIYqxJA2SmufjeAfVMvBdcvKkQIPKJSdPKnnd3VUITPLuz4nVIcGeiH6n3KjPIMl+n2ZKE+7xE5IyabjHppFzJOpJBISQbJOX+P12I+wUm6R4ZPPuijkmbKdWAadDRrKAi2FQ7U7UUJws4Z0e9bWLTqg7zNXvgQGUemDFrYvr4Wb1EOWErlaT1DzfE2JkCiqvNaZd1zsds48eX1I2++jxuK53eknZK68HJ532l0cJaY16kFEUj6Sop8jF8W5KevxvJDyNEJIQrXaPzdtuFyHEHVzdGSXVOftthwfu0iZF0BwTtlPb092Fh+ae2rS65J08hUElgUhw0vYmRa2E0urwmVYSdCR6I3jjxcFjOvHKnkpvxrBFdprhZq324E+TpOb5qN5h/QNF9N25blTGioND6LtzXUld+geKWPnMrpLPrXxmF/oHiiX1Csu/HvfwtJ+s2x5a7jdUdY8tBIZTdvtk+Jr3TUPf0nUYHtnfhwqdgmveN63kM1G8m5o1/tNoREiGqXeCYs4RQkgzcT1PBKkkTAFOkuLgUIkCn8dwEhfgxlApYXlwm5QfN5RWJ+ptFv0DRVx794bRhXBYHrJGCfPA6uyoXEx79apHJ07C2ENDbX14ubFuX7VlNEQxKEn0guUbKoySw/sUC5ZvGL32cz9aj5Gya0b2KT73o/VNaYOgELeg8ijjT1QjXN+cqbhy8dqS/ia23KNZ4z+NRoRklEYmKOYcIYQQ4tE/UAxVgJPGP095c5V/AVrtmG8SjTyGQeWBsMTOYSE6LtI/UKzwiGi1yWtMp/HMmr3wgdEF9inHTsBda4qxdeKkjD3tZqiN+tzm968vMQhdcvKkEi+c/oEiblu1eTTsa0QVt63aXJEkOoqBJsgjLag8zMjZLH+/3SF1Dyuvxp2rKxPPqy33nlezHAM4MxPiAPP71+Poefdiytx7cPS8ezG/v3YsdyPHXTLnCCGEEI+g46ubRdA89ZovLmBwaLjpOfbyTlhqmTpTzpCEyIPutWjFxhKDURoMDe/DFYvXluTlvHXl5rp04qSOjm83D/4oz21+/3rcsnJzSc6qW1ZuLlnjXL3s0Yr8QfvUlDeLg0KObQ4rD+PgMZ2RysM25INCymrlmn3oqZ2B3+UvHxtSr7DyqNBoREjKRBlUg2hkgsprskBCCCHx6B8oBuZbaCb+eSqpRRvZT5QkrqT15EH3ctUIEibateqblLEnimEgT0R5brev2hJ4jb/81ZBEQmHlSTAU8t1h5WFoSNxZefnekWAPKH95kvNgVI+ruDA8jZCUqTaolmf899NoiBlzjhDiDu2UQNNl2rEd0jDOHOo72rjdduhJe5N13StM93SVMJ3YG+vDjE1xjT3tlp8tyhrE1RxeSSWkj2rw+u3v9gRe5y/PwjxITyNCUqbeQTUPbs5x4PHBJM9EcUtuF9Lq61Hdw/NGGkrpK3v2jj7XsMXZoV0Fjvl1Erb0YXQaaZS+OVNR6MyGJIXpxP6xPs7nqpEHL7I49M2ZikJZvGuhQ0qeW5gRpp7TAqOGgkXBRWNWFjzV6GlESMrUa/Fup2OteSoFyTvNTKAZ5D0DuDl2pNnX2y2RqcdBhY7YbvmNMjyy/0SboB36QofglT17R5OccsyPR9jSh9FppFG8/nfF4rUp16Q6PVXmtaCxPsrnapF1L7LYlC9Tyl5fcvIk3LJyc8XHLjl50ujfYwsdgR47Y8vyCzUr5MoV+uZMRd+d60pOiCs3wkWlK2RO74qZs6kcGo0ISZlZbxkXmNhs1lvG1fxsu0xQ7bqYI+1NEh4gQUaYvqXrAMWocuLSgjzNvp4F9/Ak6R8o4uplj7bcYOTxyp4RzO9fPxqG7Tdivrpnb0WeJY750cnDKV3EHco3Hk45dkLoCVQuIAAemntqRbn3O8I8jMI+RyoJSog+PKIlY/R1vdPxzI6XS9Y4s48eX5J647wTJwYals47cWLJ61afeJYGw2VJ58pfA8C4sYXAHITjxu4P+T4/5JmeX/ZM40KjESEp89j238UqT4pax2C6RLst5ggB9rslN5JnJ8gIE3TyjSsL8jT7eqN54rJE0LHZaeDl7ivfADlq7j2B13PMj8Ypx04IXDSccuyEFGpDskzQxkOQbKVBmKd+0Jhd/juCOKK7K1OeuWkSZa7uHyjikc27S95/ZPNu9A8UR5/fT9ZtD/yen6zbXrImybL3ZIcEH0Lgj+6bF3Ja3Lxlj5bIWlgEnb/8nkeDn+k9j25vaJ3HnEYZgjld8knYqTXNPM2m3hPb0iILsb55gGOMW/TNmdpwnp04i+wkF+T1ylJYn+4Qabo8tlOeOBeOzQbCc0hwzG+MB5/YEauckDCqhXKliQD4yvuPjzxm1/odhU7BKcdOqJhv++5ch76l69ou110twkKd/OVRTgTzQpDLCSvPIlFOs4x6oluU59WsdSWNRhmhXRN0kuYQ5RhMl2inxVxacIxxC8/V+Kol6xo6hjXOIjupBXkjshTU1wFjXGi2PLZTIlPXPXY45jcGvXNJUrgqMx0272fUMbvm71DjiVHhmbtPKwzs9R6FnieG9oYYOXzlHIcMSSYET/OQg9yHp+Xl+FzmdMkv3V2FQMtxt+9I4qRx8eSAarie9DsP4wzHGLc47vBDMG/Z+tA+GVXpCkwy3CklOY2AZBfkjciS9/5VS9ZV/PZWyGPe88T1DxSxYPkG5136XR/zXWfMAR14PWBRN+YA7hWTeISF7aaNt5Fw/XnTI+UhqvU7hvdpLE+MdjN8lBMlTKqdQr6rkeSaK80wvVwbjfJ04hKttfnlvccfHhgf/t7jD2/aPes9sS1NXF3M5WWc4RjjFiuf3lVVoYiqdAUtvk85dgLueXT7qILc3VXAgnOmJSavjcpS74weXBlyMg/lsX76B4r41JK1oa7yaVAtMbOrY34WCDIYVSsnJIydr7yedhVCibORELSB0gjtZvioB+ZWM2RxzRVErrccosRSZgXG9+eXagnLmoX/uMso5SScvIwzHGPcotYO1Cuv740cqtU7owcPzT0Vzyw8G31zpuKuNcWSHdVaC8m4+YmSkCXKY/Jce/cGpwxGQDw5JoS0nrROV4xKtY0E/9y1aMVGnH9iT1VDdXdXoSIsttAhxjvXB0Nlo7FszdZY5Xkla9EdYeTaaJSnnfMwq2y7WWvzSBqJsGceOb6i83fYchKPvIwzHGPcotYO1ODQcF05fuIaOevJTxQ3H02QUSpM7qa8iUajemnmnFIvg0PDuGLxWpxw7X00HhFCYuPfSPDPJSdce19FAuu71pi5pdwIBBjj0IJzplXkSFp04fFYdMHxbZHrLg5hKoq//NUQg2NYeV7xclRGLXeVXIen5SmWkidhkCRZtGIjyofsfba83SfCuORlnOEY4w5dhU6cf2IPFv9qS0neoXLqyfETZswsDg7hhGvvG82vNm5sAde8b1pd+Yni5KMJC+88MCT3yv88tbPkuF4SDdcNMp4RFMhWWC8hJD38mxHlc0lQrtCh4RHcvmpLoIfHGw46YHTs8f4vz1d5w0UnVB2f8pDfMipRchoRw8uvBW/YhJW7Sq49jfJ0+kZevBmIG1CekiMv4wxlIl3KdzFnHjk+kuty3ASl1YyZ5Ue2XrF4bej315ILf0icl6Q0KMQtzCgVdqys2s+QeGThmWUxrJcQ0jq6uwqhHj9Bc0kQYfPqYJknZv9AscJTqW/pulADPE+gJWGEOVZlzeEq155GeTp9Iy/eDCRZ6t3VoDwlR17GGcpEupSf/nLCtfdFyj8TFMZWbVwISgYqiH/yRhy5qJYsvh6jZHFwCFPm3jPqDZW1vpYGWTH+ZqWehJDW4z+wwZvnrly8NtYJb2FJicvntGvv3oDhkdLrhkcU1969IXDO4Qm0JO/k2mgE5Of0DWagd59Wu6U2cmpX0MIxi94xrpCHcYZjjFuEedqUM6KK2QsfKDkZ7a41xdBxIcjIWUvZLjcqxR0rqinTYfcfN7ZQMwfPrleH0bd0HQCGNNXioEKHEwltx40t4OXX9oaGXdJITfJOO4UwJcmYTkHvjB7M71+PW1dtLgmDimowEpg5M8qcFjffKL21Sd6pGZ4mIpNE5EEReVxENojIJ235eBG5X0SetP+Ps+UiIt8QkU0i8qiIvN33XZfZ658Ukct85SeKyHr7mW+ImK3TsHu0I3eFZJoPKyetJa4baxI0cmpX74wevH3yoSVlb598qNOKy/z+9Th63r2YMvceHD3vXszvX592lXIFx5h08UK2vESeURGgZNy5deXm2ONCd1f1ZIyKyvC5JPIobRscCg3vPPtth6Ozo/ZxtMMjypCmGszvX99Sg1GQPM0+ejyeXXg2Bj5/OhZdeHxgAtAOmA2NuKf1EZIVshjCJKg9R7SCPSOK+f3rccvKzbHy5owt7F/qqu9/b3ZJKrE1T/wkeSdKTqO9AK5S1T8AMAvAx0XkOABzAfxMVY8B8DP7GgDOBHCM/Xc5gG8BxgAE4BoAJwM4CcA1PiPQt+y13ufOsOVh92g7whQ+F3YOSXU31mbRyK7G/P71eOipnSVlDz2101lDjKcoeC7FI6q4ZeVmZ+ubRTjGpEtxcAh9d64bNT5HISisLEyXLg4OYfbCBzC/f33FouWVPXurKgM93V0l+YniKNf9A0V0hByzckR3F3pn9FScVnP9edPx4BM7MBLxfHju5Fbn9lVbWnq/IC+5RzbvHl0Y987owdlvO7zimn0A7ly9OXOLakKi0shmX1rccNEJeH2vG3rArasqvaFrEXZSl7cZEjanhRnKwsrzkt+SkDBqhqep6nYA2+3fvxORxwH0ADgXwLvsZTcD+DmAz9ryH6iqAlgpIt0icri99n5V3QkAInI/gDNE5OcA3qiqv7TlPwDQC+CnVe5BiFPEdWNNgkZy0NwWMvHetmozruud3nDdkubWgLApr9zF+hJSD9VOSgsibh4izxOp/HPDI4pxYwt4bXikwkhYTen1h1l0FTowtHcfVE3OiEtOnoSZR47HvGXrA/NH+L83KLzzysVrI/8u7uRWJ0pC9WZTntsjzJBVvpkR9NkkYIgQSYMshjBdEWMsbjZJD2XeZkpQ/19wzjT03bmuZF4udAgWnDNt9HX5OHL+iT148IkdHFdILomV00hEpgCYAWAVgN+zBiWo6nYRebO9rAeAXxvYasuqlW8NKEeVe5TX63IYTyVMnjy55D0qBiSIajKTFRrJSxS2No25Zm0ZYdVqVXVryQvHGVJOmmNMtcTWYeWDrw7jhotOwILlG0Y9Raolmi7PqebfzfU8AX/0SDHwNJtOkZrhAFETmxY6JTc7uUnKzPz+9aFHS6eFvz3j1ivJRXUj+QBdIw+6TDvRHZKrrTsgXLMZUF4qCev/tQ45CRpH7lpTTCTUzSUoM8QjSngaAEBE3gDgLgBXqOpL1S4NKNM6yiOjqjeq6kxVnTlhwv6krVmMHSatIUxm6qWrENyVwsqTICysI0+TlStUkxeOMySIpMeYqBQ6BZfOmhw7B4XC7Cj7Q4teC3Hr7x8o4qol62oeb/zKnuD396lGStZf7upf6JSSMXXc2AIWXXB8bsa8pGSmPJzXFfwn/QWd+leNJL3JshgiFEZa4wypj7Au2aquSnkJJqz/987oCQ3NztM4Ug3KDPGItKIVkQKMwehWVV1mi39rw85g/3/elm8FMMn38YkAttUonxhQXu0ekWiXDk3SJyxnR1g5iUfYU3Th6XKcIS4xMqJYtmZr5NPXqhEkx56RtBGDRBQDgN8oDhgjw/CIYvzBB+JrF50wmlQ5LwajJGl1DqOo+GXmkpMnBV4z++jxTc8LksUQIZIPdoeMy2HlpHUUB4dwwrX3Rd7w4zhC2o0op6cJgO8CeFxVv+p7azkA7wS0ywD82Ff+YXuK2iwAu22I2QoAp4vIOJsA+3QAK+x7vxORWfZeHy77rqB7RCLMtT1qklFCohK2ox5WngRpnNiWFmmHp1WD4wxxiX0IT/xZD8XBIczvXz96mlUUDyMPARoyAPTO6Bn1OPIMDvTkq41rHkYePT5j4XW90/HBWZNHPY46RfDBWZNx60ff0XQP2qRPOeJpbyQqPGGrNdTr5T84NIy+O6Pp0WxL0m5EyWk0G8CHAKwXES8b2tUAFgJYIiIfAbAZwIX2vXsBnAVgE4BXAfwFAKjqThH5IoCH7XVf8JJiA/gbAN8H0AWTAPuntjzsHoS0PdVObMvb7ntPSH6THk7OhDSdW3yJ6OMYJC6dNRkzjxxfkhPilGMnYNGKjbhy8dpI+b+qefLlbZxrlP6BIj73IzdPlOwQVBgLr+udHniQQVBi9CRpJB9gOXnKj0SazynHTigZT/3lJDkaOfV1eJ9Gml/ijiPMfUmyTpTT0/4b4VEgpwVcrwA+HvJdNwG4KaB8NYA/DCh/MegehJB0TmxLiySVfEJIcxBByelpnkGgWuLQWgtshgBEo3+g6NQpR+W88aCCMwukWglu40CjJonDg0/siFVO0iHK/BJnHAma+65cvBarn9vJE4BJZoh1ehoheYc7AW6SpJJPCEkWAXDDRSegd0bP6Bh668rNePCJHSX9NOoC2z8Od4gEejcxBKCUq5a4azAC3MvZkpQ3E42aJA6Ul2wQdX6JOo4EzX0K4NaVmzHzyPHUZUkmoNGIEEv/QBGfWrJ29Nj54uAQPmUVcRcHdG9XP6g8jzQ7ZIEQUh8KjBqMqnkSRVkwlX9HkMGIXoaVjLiZxmiUvBr5jggJnc7r7yWNQXnJBsXBIcxe+EBim5Nhc58C9EokmaF554ETkjGuXvboqMHIY5+achdJ++hWQgjxmPGF+3Dt3RtCPYn6B4qhp0n6F0xBO7KACXlrVmLkrPOer/487SrUJK9GPi9Rux8aNUkYlBd36Cp04oOzJmPc2ELg+0keulDNKEgvM5IV6GlEiCXsxKEkTyIi9cPQQULcpVouNU/5juI1FKZA71PFMwvPbryiOWN+/3o8+fwraVejKgeP6cztWM3QaRIHyku6dIpgn2rJc/dyCs1e+ECFF1hS+cn65kzFlYvXBp74Sy8zkhVoNCKEOA9PqCEku3SKhHoPlXsNMXwjOv0DxcCTmFzj1T2VbZ8nGDpN4kB5SY9qmw/NzDfVO6MHq5/biVtXbi4xHNHLjGQJhqcRQpynWgJdQoi7dBU6Az2MAKPAly+eGL4RnQXLN6RdhUjQ4EcIcYFqY1HYe0mNX9f1TscNF52Anu4uhlqTTEJPI0KI8wR5HlQrJ4SkQ3dXAQcfeEBJ6MWiFRsjew8xfCM6g46dSBYEDX6EEFeoNhb1zZla4tEOJD9+0cuMZBkajTLCwWM68UqAi/fBYzoDriakOp0SfNpOp6Mnr3WGHLvdmdej4lKAYwxJggXnTAtUiuMo41Ss80EPDX6EEEfo7ipUHYu4YUFIdWg0ygj7qrj3ExKXsOOZXT22OSy8JaycxIdjTH7oEOADJ0/GbSs3I2oafwFwQKdguMFBIEjBpjKePPP716ddhZo8NPfUtKtACMkYhQ7BRSdNwj2Pbq96wEIcugqdWHDOtJrXccOCkHCY0ygjDIWc4BVWTlpLmL+Lq34wYR46rnru9ITElIeVk/hwjMkPHzh5Mh58YkdkgxEAk5xTgXFjCxCYXdlCmethV6ETX7M5GYKo1h97Z/Tgobmn4pmFZ+OhuadSMW+ALCTA5thMCKmHi06ahOt6p2Pg86eHjiMC4IOzJo/mBxo3toDursJoriD/e8wdlB6FECtDWDlxG3oaEZIAYXvzzfTR6O4qBOa06O4q1Pxs1jx3WhFrTkjaFDoE+wCM7GusHz74xI66TnwZ3qcYO+YADHz+dADGOBHmHcT+mB5pHQAwbmwBL7+2F8M15FNQPXcIIa2mEX2JtJZbVm7GT9Ztx4JzpoUeVa8w8xy9Gd1mb8jOVVg5cRva+jLCuLHBE1tYOck/C86ZhkJHqSdAoUMiueBmzXOnd0YPrj9vOneOmgjHmHTp6e7CoguPx1cuPL7kmY8tdFT081p4Rp568BubwryD2B/TJY0DAATAwOdPx6ILj685TyiCwxQJSYtG9CXSegaHhjFvmQnBDTNR17MxQlpLs0+ka0fSjGyhp1FGuOZ909C3dF1JvolCp+Ca93HCa1cayROSRc8dxpo3F44x6eLfMS2Xc7/HT0dIUng/HSI45dgJuGtNsaKPH1ToqJonIqoyx/7YevoHirj27g2p3NuTC3+7z174QKABy9XNB9K+MK9a9hgaHsGiFRvR090V+fRN4hZZXGu4zjuPHo+HntoZWN5saDTKCJzwSBD1LtwoT6QcyoS7+Pt5/0CxQgkrZ0QVd60p4vwTe0ZD1bz2BIArFq8N/SyVOTeJ0u7NIkzJ54KA1GJMp2BPQHL9MSkc1UpDd/bYNjiEGy46geNMRqFemTzPvhjsYecvP/CADrweEAN44AGNBZjRaJQhOOE1l7DdjCi7pmMLHXg1IGHwWIezvbVanjol+HS2FHRHEgLHGPcpV8IO7SrgpdeGUZ5mZmh4JDTnw4LlG0Lze7D93WTRio0tMRh9cNZkzDxyfCQlnwsCUouw/Fe18mKR7FLoFIyMaNWDGLoKnTj/xJ6aJ6Qd0d3FcSbj1NIrs7h+agZR16BhYZn+8q5CZ6DRqKvQ2VAdaTTKENWSkpLGaWTX9MvnvQ2fWrK2ZOHWIaa8Fp0h4SaunmRWL4ccFJyI8pCDmDPHFTjGZINyJeyoufcEXhemXCw4Z1rgWMf8Hm7SP1Bseh6j7q4CFpwzrSRvVRRoaCbVCIukdfTMDVInApN7qMfn0erfnDh4TCcKnR3YPTRcoltc1zt9NOy23Hjk1785zuSXIINRUHkUo0pXoSPwxN+uOgxQnkwHlXtEXb9FqXvUNegREcI1dwestaqVR4VGo4xQ7ppeHBwaTRLHgTQZGtnNaOSzs94yLjA+ddZbxsX8BW4TZDCqVk5aC8eY7BJFifDDndvs4PXLZjJubGH0xDxCkqRdNsXaCc9LqDz0uXz+iGt45qYVqUYUo8r5J07ELSs3V3z2/BMnxr5flFOxLzl5UuD9Ljl5UsnrKHXvndGD1c/txO2rtmBEFZ0iOP/ESmNp35yp6LtzXYm3ZqFDSr4rrk4YlVwbjfJ0xGaQa7qXJI6DanI0sptR72ejxKfmgbwqj3kZZzjGZJd6vCS5c5sNWhGWRq8P0iyiLqqIu3SIyYXy2vC+phpzOCdliyieOFEYN7YQGKJYfnJvlM2uB5/YEXiP8vKkQuKu650OACWGnktOnjRaHqfu/QNF3LWmOLpO8nJTzjxyfGW/KH/IZa+blW8w10ajBedMC7TGZdEFP0oMI8km7dK2YSc+1ToJynXyMs60ixzmEXoO5ZdW9L9GXdYJCSPqooq4y9PXn512FYiDRPHEiUKck3trGRaj6rGNpBQp57re6ZHGs1p1j7pxu2jFxpJnBQDDI1pyXbN0wlwbjfKkSDfL1YykT7u0bSOJxl0mL+NMu8hhXuEubT4J65dJ34OQZhF1UUUIyQ5J6fRJ6tBR9dgo92z1miWqwSvqdc3QCXNtNALyo0jzaNv8krW2FQkOZ6gVZZa13xmHPIwzeW4fQrJKUL+MQnnogJeH5K41RfZxQgghDZGkzpiUDh2nTrXu2WqdOKrBK80NXufPsxORM0Rko4hsEpG5adcnLXpn9OD686ajp7sLAmPpvP686ZlbqH5w1uRY5e1A1tr20pOD2yqs3CNrv7PdyFP7uDrOuFov4i7+fglUpjIodAoKHaWlXYVOXDprckVfvq53em76OKkOxxoSB8oLiYuLOmOSdWr17+ubMxVdhc6SsiAjVdTrmoHTnkYi0gngmwDeA2ArgIdFZLmqPpZuzdIhD94MjG8PJktt20gbZul3tiN5aR9XxxlX60Xcxt8vg04YAqK79uelj5PqcKwhcaC8kHpwcT5Jsk6t/H1Rw/TSTIkh6nASWhF5B4AFqjrHvp4HAKp6fdhnZs6cqatXr25RDUmzEJE1qjqzFfeizOSDVskM5SU/UGZIHDgvkbhQZkhcOC+RuFBmSBzqlRfXw9N6AGzxvd5qy0oQkctFZLWIrN6xI/i4PUL8UGZIHCgvJC6UGRIXygyJC2WGxIHyQuJCmSEerhuNglLrVrhGqeqNqjpTVWdOmDChBdUiWYcyQ+JAeSFxocyQuFBmSFwoMyQOlBcSF8oM8XDdaLQVwCTf64kAtqVUF0IIIYQQQgghhJC2wXWj0cMAjhGRo0RkDICLASxPuU6EEEIIIYQQQgghucfpRNgAICJnAfgagE4AN6nql2pcvwPAcwFvHQbgheRrmAp5+S3VfseRqtoSP8gQmcnLM242Lj2nlshMlTEGcOt5NEJefgfgwDjDMSY2rj6btOclF3C1bQA36+aCzLj4XNLE9eeRti7j+vNJmjz83rRlxkWy3K7Nrntd8uK80SgpRGR1q06waDZ5+S0u/w6X6+YSfE6l5OV55OV3AO7+Flfr5QJ8Nu7ictu4XLc04XMphc+jOu32fNrt97YLWW5XV+vuengaIYQQQgghhBBCCEkBGo0IIYQQQgghhBBCSAXtZDS6Me0KJEhefovLv8PlurkEn1MpeXkeefkdgLu/xdV6uQCfjbu43DYu1y1N+FxK4fOoTrs9n3b7ve1CltvVybq3TU4jQgghhBBCCCGEVuRmNwAAIABJREFUEBKddvI0IoQQQgghhBBCCCERaQujkYicISIbRWSTiMxNuz71IiI3icjzIvLrtOvSCCIySUQeFJHHRWSDiHwy7Tr5yYu8NBMReVZE1ovIWhFZnXZ90iYvMpOXMQZwe5zJi7xEJUiuRGS8iNwvIk/a/8fZchGRb9hn86iIvN33mcvs9U+KyGVp/Ja8EdZPXGofEekUkQER+Yl9fZSIrLL3WSwiY2z5gfb1Jvv+FN93zLPlG0VkTlJ1c5l2G2eq4fJ84Ap5lpcgnbWeMY5kgyytUeLoR2mTe6ORiHQC+CaAMwEcB+ASETku3VrVzfcBnJF2JRJgL4CrVPUPAMwC8HFX2iRn8tJsTlHVE1w8FrKV5Exmvo98jDGAo+NMzuQlKt9HpVzNBfAzVT0GwM/sa8A8l2Psv8sBfAswShSAawCcDOAkANe4okhlnLB+4lL7fBLA477X/wjgBlu3XQA+Yss/AmCXqr4VwA32OtjfczGAaTBy+G+2H+aWNh1nquHkfOAKbSIv5TprrDGOZI6srFG+j+j6Uark3mgEo7xsUtWnVXUPgDsAnJtynepCVf8LwM6069EoqrpdVR+xf/8ORhnsSbdWo+RGXkjLyI3M5GWMAZweZ3IjL1EJkatzAdxs/74ZQK+v/AdqWAmgW0QOBzAHwP2qulNVdwG4H/kxcKZGlX7iRPuIyEQAZwP4jn0tAE4FsDSkbl6dlwI4zV5/LoA7VPV1VX0GwCaYfphn2m6cqYbD84ErtKO8xB3jCEmcmPpRqrSD0agHwBbf663gROEM1n18BoBV6dZkFMpLNBTAfSKyRkQuT7syKUOZcRzHxhnKi+H3VHU7YBZ0AN5sy8OeD59bkynrJ660z9cAfAbAPvv6TQAGVXVvwH1G62Df322vb0fZacffHAnH5gNXyLu8BOmsccc4kh2yvkYJk81UOSDtCrQACSjjkXEOICJvAHAXgCtU9aW062OhvERjtqpuE5E3A7hfRJ6w1vJ2hDLjMA6OM5SX6oQ9Hz63JlLeT4yDTvClAWVNaR8ReS+A51V1jYi8q8b9W1q3DNCOv7kmDs4HrpB3eanQWatcm/dn0Q5wjdIE2sHTaCuASb7XEwFsS6kuxCIiBZiJ+1ZVXZZ2fXxQXiKgqtvs/88D+BHy7+pfDcqMozg6zlBeDL/1XP7t/8/b8rDnw+fWJEL6iQvtMxvAOSLyLEy4zKkwnkfdIuJtevrvM1oH+/6hMG7/7Sg77fibq+LofOAKuZaXEJ017hhHMkIO1ihhspkq7WA0ehjAMfa0jTEwyRCXp1yntsbmGPgugMdV9atp16cMyksNRORgETnE+xvA6QAyf9pWA1BmHMThcYbyYlgOwDth6zIAP/aVf9ieYDMLwG7rnr0CwOkiMs4mWD7dlpEGqNJPUm8fVZ2nqhNVdQpMP3lAVS8F8CCAC0Lq5tX5Anu92vKLxZyudhRMgttfNVK3DMBxxofD84Er5FZequisccc4kgFyskYJk81UyX14mqruFZFPwCgvnQBuUtUNKVerLkTkdgDvAnCYiGwFcI2qfjfdWtXFbAAfArBeRNbasqtV9d4U6wQgX/LSRH4PwI9s+MIBAG5T1f9It0rpkSeZydEYAzg6zuRJXqISJFcAFgJYIiIfAbAZwIX28nsBnAWTrPhVAH8BAKq6U0S+CLO4AYAvqGoukranTGA/gdvt81kAd4jIdQAGYIwBsP//UEQ2wXgYXWzrtkFElgB4DOYUrY+r6kiT6uYE7TjO1MDJ+cAVci4vgTqriDyMGGMcyQyZWqPE1I9SRcwmDCGEEEIIIYQQQggh+2mH8LTcICI/F5G/SrsehBBCSBLYEIDvicguEcl7yBCpgYj8uYj8t++1ishbm3SvKfb7c+91nzQiMllEXhaRziZ9P/Vd4hTNHItIdqg2NuV9TqHRKCFE5FkReXfMz1QMQCJytYg8YyfjrSKyONmaknZFRBaIyC3275YObCLyLut2SUgJIvJ9G2ZCGsDOQUN27tglIveIyKTan4x1j9ExpOy+7y4rK1n41+CPAbwHwERVPcl+PnQetArba/Y97987GvxpuSVFuUi8nexYscd+1+/EHKf8ZzE+H1tPIxUy9LKIvAxgr6q+IcthftZg3SciT9rft1lEviwmpw+JiR3314vIqyLyGxH5loh0t+C+fvn8rd2EeEOz71tWhzEi8hU7X71s568bQuro/TuilXXMMyJyq4jcVFb2ZyLyotiE0mXvdYvITVZOfyci/ysin21djbMJjUYOISKXwcRcv1tV3wBgJoCfpVsr0ihpTaRxEZH3isivROQVO9DeIiI9adeLhCoc/1rjM4kY6sQkj73eKtRDVsH+tEj4mdwkNd5n547DAfwWwL+kXJ8oHAngWVV9BYg8D37CLli9f79sbZUzR1py0Yx2+if7Ww4F8C0Ay6RJ3i6khPeVtWXoaVLWGJOF9cU3AFwO4MMADgFwJoB3w5zUR2IgIlcB+EcAfTB9cxbM2H5/i4xw3hj3dgB/BGB+3C+QxjZR58HMVSfByNIpMPnWKuoYpQ+R2Pw9gLNE5D0AICIHAfg2gKvKk5jbdr4BwBsA/AGMvJ4D4KmW1jiDZGFQzzQi8lER2SQiO0VkuWdZFpH/spesswvAi2AGuhWq+hQAqOpvVPXGsq88UkQespbR+0TkMN+97rRGid0i8l8iMs333vdF5N9F5H772V+IyJG+94+17+0UkY0i8v5mPZN2olUTaYOTHUTkAgC3Afg6gMMATAOwB8D/ddHA1aaUKxyfaObNfDJ1J4DTYBJDHgKzoP8YgK808/6kflT1NQBLARwHACJylog8Zsf+ooh82pa/y+6MfkZEnheR7SLSa6//XzsfXG2vPQMmQfJFds5aF6Uust+r8TJreHxBRD5n3/sIgO8AeIf9zmsRbR4kdeCCXEiAl6vUEYqkqvtg5qzxMIlPISJHi8gDdtPjBTG7z932vR8CmAzgblvPz/i+7tJy2STVKW9H24ZfEpGHYJIHv0VEDhWR71r5KYrIdZ6BT8xm2kMi8i9WZ31CRE4LuVdou9r3J4nIMhHZYa/5V997fykij4vxslvh6b0icgyAvwVwqar+UlX32sTP5wM4W6wHW7lsSjwvyrZARN4I4FoAf6eq/6Gqw6r6LID3w+i7HxTjjbhURBbb8eYRETne9x1HiMhdtg2fEZG/9723QESWiMgP7Gc3iMjMoLqoahHATwH8oe97l9sxa5OIfLTse5eK2SB9CcCfi0inGE/Xp2S/N6PfM/PdYjbOdonIN0VGN8/+CMCPVHWbGp5V1R8k8XxJbVT1RQB/B+BGMSemXQPgKVX9flA7w7TXbaq6S1X3qeoTqrrU+z4ReaeIPGzHpodF5J1B97Xy8s92XHoawNlN/7EpQqNRExGRUwFcDzNwHg7gOdgdDFX9U3vZ8XYBuBjASphjHvtEZKYE7559ACaT/5sBjAHwad97P4U5SvbNAB4BcGvZZy8F8EUYo8Ba733bwe6HUcDeDOASAP8mPqMTiU+EifTTYjw3xvs+M8MOPgX7OlDhse+piHxcRJ4E8KQt+7qIbBGRl+xk9ycR6ikwBoDrVPVWVR1S1d8A+CsY5e+T9rqSEIQApfEvbF1/JyJPi8jHGnuCpBZivNb8E90/isjPbJ/+KYAjxOcKLSIdIjLXKkQvWkVsvP2s154fEZHNAB4Qo8SfDuB8Vf21VaxXAvgggE+KyFvsZ0vCPgJkJdSgTZJHRMYCuAhmTgHMqVIfU9VDYJTpB3yX/x8ABwHoAfB5mN25DwI4EcCfAPi8iLzFnj7yZQCL7Zx1POLxxwCmwhggPy8if2BP5vtrAL+033kNos2DpA4clYt6f0snjIfIMzDeUwAgMDrXETA7yJMALAAAVf0QzCk0nvH9n3xfVyGbrfgNOeRDMJ47h8DouzfDnFb3VgAzYOYSv3HwZABPw+ik18B4jY1HJaHtauXgJ/Z+U2Dk9Q77Xi+MQfM8ABMA/F8At9vvPA3AVlUtyaOmqltg+sfp9TyANuWdMGPFMn+hqr4Mo4e8xxadC7MJNR5mvdEvIgUxXml3A1gH036nAbhCROb4vu4cmHbthjmOPNDT2hp4zsJ+L5/bAWyFkZ0LAHxZSo2T58IY0rth1kSfglkDnQXgjQD+EkYP9ngvjMHheBhd3qvjSgCfEpG/FZHpPmMSaRGqeieANTBtfjnM5qZHeTuvBPAlu245xv89dgy6B8YT8U0AvgrgHhF5U8BtPwojEzNgPM0uSPI3uQaNRs3lUphjKx9R1ddh3BffISJTgi5W1VtgLKVzAPwCwPMiMrfssu+p6v+q6hCAJQBO8H3+JlX9nb3XAgDHi8ihvs/eo6r/Zd//nK3LJBiBf1ZVv2cXhY8AuAs5F/4WUGsinQ7glzA7Wx4fALBUVYdrKDwevTCK13H29cMwMuFNyneKcdOsxlSYHdg7y+q5D0YOoipPz8PI0hthDJs3iMjbI36W1MdVAN4mZvfzTwB8BMBlNtTnTADbylyh/x5GZv4MRonaBeCbZd/5ZzCK+RwYZW+VVaRHUdVVMIpY4M5wALUM2iQZ+kVkEMBLMG23yJYPAzhORN5od9Ye8X1mGMCXVHUYRik/DMDX7VyyAcAGAG9LoG7XWoP0OpjFQaBxIeI8+A0RGbT/Hqn4ElJOWnLRjHb6tP0trwD4GoB/8PLqqOomVb1fVV9X1R0wyn6UnEeRZLPN6fe1ZX/INd9X1Q2quhdGBzkTwBWq+oqqPg8TEnKx7/rnAXzNbqgtBrARATv1Ndr1JJi5rM/e5zVV9TyBPgbgelV93NbpywBOsJtvhwHYjmC2w+hcJBqHAXjBPuNyttv3AWCNqi61Y8pXYfTjWTBGmAmq+gVV3aOqT8MYqf2y8t+qeq/t6z9EZR/1xrj/hpk3vmzXN38M4LNWLtbCeLZ+yPe5X6pqv/U2GYIxas5X1Y3WY2id9WLxWKiqg6q6GcCD2L8Gux4mquBSAKsBFMWEWlfUsUYfIo3xcQCnAviCbSOP8nb+Oxg99BMAHhPjhXamvfZsAE+q6g/tmvh2AE8AeF/A/d4PM4ZtUdWdMHKQW2g0ai5HwOx+ABg1FrwIY0kPxHp6vBvGGvrXAL5QZm3/je/vV2FiMj0XuYXWg+AlAM/aaw7zXT+68LN12WnreCSAk32D2SDMwPd/Yv5eUkqUifQ2mF0Nz+PnYlsGVFd4PK5X1Z12EISq3qKqL9qB7isADoQxCtWqp1enoHpGUp5U9R5VfcpOtL8AcB/MjjRJBr/CMSgiH1XVV2F2/78K4BYYr7ZqeYw+BuBzqrrVZ1y+QErDGxdY5XsICSnWEQzaJBl6VbUbpt9/AsAvROT/wBimzwLwnJjQZH9C4hd1fzLbIfv/b33vD8HOMyHsBVAoKyvAGB38BM5dQUSYB/9eVbvtPxqma5OGXADNaad/tr+lC2Znd5Gn7IvIm0XkDjGhUC/BjImHVfkuj8iy2cb0+tqyN+Qa/+bCkTDjwHafXvn/w2wceBRVVX2vn4PRSUuo0a6TADwXomcdCeDrvvvvhPFa6gHwAkwEQBCHA9gR8h6p5AUAh0lwmoTD7ftA6RpkH/Z7AB0J4xXtX4NcDRt2ainvoweV3c+TzyNV9W+t/nIEgJ2q+jvfdc+hdA1WsiEGI0/VctsEjhWqOqKq31TV2TDz1pcA3FTmtRilD5EGUNXfwsjbhrK3yjc+h1T1y6p6Iow30RKYTfbxKFu7W8rlxuOIsu8u/1yuoNGouWyDGQwBjIaBvQlAsdYH7c7LnQAehY3NrcEHYNzv3g2TO2eKd1vfNaNxuWJOFhhv67gFwC98g1m3Gs+Ev4lwXxJOlIl0KYzH1xEA/hSAwngUAdUVHo+SgVBErhITIrbbfuZQ1FaavQk9SIGKrDyJyJkislJM7PggzGIkisJOotFb1ke/DQBq3OufhpGNJTW+40gAP/LJ1OMARlCqnPllqmHFOqJBmySIVWCXwbTtH6vqw6p6LsyCrR+15ST0qwPKNmP/fONxFBJQnuqYB0kVWiwXYbxi/x/rK4u9QWU3J34N4CHs90653tblbar6RhiDul8HilNPEh//890C4HUAh/nmrDeqqj80uacsjGcyjE5aTrV23QJgcoietQUm/NI/b3ap6v/AhGJOEpGT/B+w3imzYLxVACOvDclqG/BLmLY+z19o1zxnYv9BBv41SAeAidi/BnmmrJ0OUdWzGqzXNgDjReQQX9lklK7ByseELQCObuSm1iDxTRhP7uNqXU9aQujYr6ovwWzKHwyju5Ss3S3lcuOxHT65ttflFhqNkqUgIgd5/2AUsL8QkRNE5EAYoVylJq8NYHbt3uJ92IaYnC0ih4jJPXImTELiVRHufQjMoP0izAT35YBrzhKRPxaTgPmL2B928hMAvy8iHxITX1wQkT8SxvU3Ss2JVFUHYTxy3g9j+Lvdt/NWTeHxUN/3/gmAz9rvGmd3Y3ejVGkOYiPMjs+FZfXsgNmJrqk8Wfm+C8A/A/g9e+97I9ybNIiIfBzGg2AbAH9y16BJcguAM8tk6iA1ySODPvefMF6IJUd0W0V7MgAvoX81xTqKQZskiBjOBTAOwJMicqmIHKomLOAlGKNBPfwWwBQpPRlpMUz+iWPtfWfC5IGo6wSiBudBUoUWy0UgasKLijDJcTtF5C9R5yJNRI6FCT/xdpUPAfAygEExJ3/2BdTzLSBNR82JRfcB+IqIvNH25aPFJpi2vBnA31ud80KYsOh7A76uWrv+CmbhtlBEDrb692z73r8DmCc2h56YxNwX2vr9r33/VhGZZWVxGowe8z8wcx9g8n+eJyJjReStMCHgxIeq7obJ3/kvInKGbc8pMCkPtsKEkwHAiSJynjXwXQGjH6+EacOXROSzItJl2+IPReSPGqzXFpi2vN7Kxdtg2q9aePx3AHxRRI6x4+XbJDiXTQkicoWYAwS6ROQAMaFph6DyBDXiACLyD3adO8au1z8JYBBmPXQvzJr4A7YtL4Ix/v0k4KuWwIxhE0VkHIDyUPpcQaNRstwL47Lt/fsTAP8AMwlth1GM/DG6CwDcbHf93w+jtF0Ns3M7COCfAPyN7o/PrsYPYHZ2iwAew/5El35ug0k2uBMmmeWlAGBdN0+3ddsG4375jzALUVInMSbS22ASep6P/aFpQBWFJ4RDYEJFdgA4QEQ+D5NfqFY9FSah+nw7SHaJCV34Dow3iHc881oAfyoik8WEFs3zfc0YGHnZAWCvXegxkWSTEZHfB3AdzM7rhwB8RkS8GPvfAniTlIaB/TtM8j/vBJkJdhEZiKr+J8wu4V0iMs0qc7NglK4fqOpGe+laABdbGS9PBhjFoE2S4W4ReRlmLvkSgMtgvMk+BOBZMZ5efw0jL/Xg5T17UfbnqPk2gO/BJDLdDTMXfU5NguR6aGQeJMGkIRfV+CjMwv9FGIPg/1S/vITPiEns/wqMUeJ7MGFPgJlv3w4jh/egLJ8gjMfKfKtzfRqk2XwYRjd4DMbrYilKPVdXweS6ewFGLi/Q0vwxHqHtakMo3weTbHszjG51kX3vRzC67B1Wxn8Ns2Hn8QkYPecWmFCjX8Po0b02fAoweZj2wMynN4P5+AJRk1j+apiNw5dg2nYLgNNsWDoA/BimbXbBjD3nWW9Srw1PgEls/wJMuyQRwn4JzEbVNgA/AnCNqt5f5fqvwhgC7rO/47swobC1GII5UOY3MPX/OMwBIk/XXXPSTBRm7ngBRjbeA+BsVX3ZjkHvhckZ+iLMZux7VfWFgO/5NoAVMLnwHkHlnJMrpDScmOQVEfk+zEkR89OuS7sh5ljpK2GMhi/BhAHMVdVd9v0umISQm8tctyEiH4IZsI6EUZjuV9W/tO8pgGNUdZN93QngRhiPoVdglJ2/BfBXqvqfIrIAwFtV9YPWePUMgIKXC8AaD+bDKPFdMArUBT7DAETkmzDGxhdglLEbve8Q4/HyeRjj0d0w+Qw2qep8EXkXgFtUdWLDD7QNEZFnYULI/J4A98OEKi5T1YX2ur+BafOZqvq6iNwE4+XTCbNT8huYHb6PwcRiPw9z6tHVQTJhv/MgGKX9AzAeRAfAnFzyaU8ZFHOK2u0wsvMLmJwA462svQFG0T4VxmD9DzDK9zGquoljEyGEtBci8ucwuskfp10XDxH5AsxBEX9qvcBJQvj1z7TrQgipDxqN2gQuzEgcROR0GCPAaWpOnCAEACAiN8MYq85S1T1p14cQQki2cNFoBAAi8gmYza56PSVJADQaEZJ9GJ5GCKlAVe8D8OcwCSEJ8fNXMF5OPLWKEEJIblDVf6XBiBBCKqGnESGEEEIIIYQQQgipIJKnkYhcKSIbROTXInK7zUJ/lIisEpEnRWSxmBO5ICIH2teb7PtTfN8zz5ZvFJE5vvIzbNkmEZnrKw+8ByGEEEIIIYQQQghpLjU9jcQcb/nfAI5T1SERWQJzSthZMAlY7xCRfwewTlW/JSJ/C+BtqvrXInIxgP9PVS8SkeNgcqScBJOA9T8B/L69zf/CZC7fCuBhAJeo6mP2XhX3qFbfww47TKdMmVLPsyAOsWbNmhdUdUIr7kWZyQetkhnKS36gzJA4cF4icaHMkLhwXiJxocyQONQrLwfEuK5LRIZhjkzeDnMSzgfs+zfDHB//LZiTehbY8qUA/lVExJbfYU/beUZENsEYkACTdO5pABCROwCcKyKPV7lHKFOmTMHq1asj/iziKiLyXKvuRZnJB62SGcpLfqDMkDhwXiJxocyQuHBeInGhzJA41CsvNcPTVLUI4J8BbIYxFu0GsAbAoO9Y5q0wp+nA/r/Ffnavvf5N/vKyz4SVv6nKPUoQkctFZLWIrN6xY0etn0QIZYbEgvJC4kKZIXGhzJC4UGZIHCgvJC6UGeJR02gkIuNgvISOggkrOxjAmQGXenFuEvJeUuWVhao3qupMVZ05YUJLvIBJxqHMkDhQXkhcKDMkLpQZEhfKDIkD5YXEhTJDPKIkwn43gGdUdYeqDgNYBuCdALpFxAtvmwhgm/17K4BJAGDfPxTATn952WfCyl+ocg9CCCGEEEIIIYQQ0kSiGI02A5glImNtbqLTADwG4EEAF9hrLgPwY/v3cvsa9v0H1GTbXg7gYnu62lEAjgHwK5jE18fYk9LGALgYwHL7mbB7EEIIIYQQQgghhJAmUjMRtqquEpGlAB4BsBfAAIAbAdwD4A4Ruc6Wfdd+5LsAfmgTXe+EMQJBVTfY09Aes9/zcVUdAQAR+QSAFQA6Adykqhvsd3025B6Zo3+giEUrNmLb4BCO6O5C35yp6J0RmKKJEBIA+xCJA+UlGfgc3YDtQEg+yHJfznLdSXah3LlBpNPTVPUaANeUFT+N/aef+a99DcCFId/zJQBfCii/F8C9AeWB98ga/QNFzFu2HkPDIwCA4uAQ5i1bDwAUekIiwD5E4kB5SQY+RzdgOxCSD7Lcl7Ncd5JdKHfuECU8jTTIohUbR4XdY2h4BItWbEypRoRkC/ah7NA/UMTshQ/gqLn3YPbCB9A/UGx5HfIoL2k81zw+xyziUju40L8JCcN1+XSpL8clrO4Llm9w+pmTbJPlPpM3InkakcYoDg7FKieElMI+lA1c2RHaFiIXYeWuk9ZzzdtzzCqutIMr/ZuQILIgn6705XoIq+Pg0DAGh4YBuPnMSbah/u8O9DRqAZ0iscoJIaWwD2UDV3aEjujuilXuOmk917w9x6ziSju40r8JCSIL8ulKX66HqHV07ZmTbEP93x1oNGoBI6qxygkhpbAPZQNXdlH75kxFV6GzpKyr0Im+OVNbWo+kSOu55u05ZhVX2sGV/k1IEFmQT1f6cj0E1T0Ml545yTbU/92BRqMW0BNinQ8rJ4SUwj6UDVzZRe2d0YPrz5uOnu4uCIycXH/e9My6y6f1XPP2HLOKK+3gSv8mJIgsyKcrfbkeguo+bmwh8FqXnjnJNtT/3YE5jVpA35ypJXHWQHZ2FghxAfahbOBSO/XO6MmEIh6FNJ9rnp5jlnGhHVzq34SUkxX5dKEv10t53cvzSAFuPnOSXbLSr9sBGo1agDfALlqxEdsGh3BEdxf65kzN7KRBSKthH8oGbKfmwOdKXIBySFyG8tl6+MxJs6GMuQONRi0iyzsLhLgA+1A2YDs1Bz5X4gKUQ+IylM/Ww2dOmg1lzA2Y04gQQgghhBBCCCGEVECjESGEEEIIIYQQQgipgEYjQgghhBBCCCGEEFIBjUaEEEIIIYQQQgghpAIajQghhBBCCCGEEEJIBTQaEUIIIYQQQgghhJAKaDQihBBCCCGEEEIIIRXQaEQIIYQQQgghhBBCKqDRiBBCCCGEEEIIIYRUQKMRIYQQQgghhBBCCKnggLQr0C70DxSxaMVGbBscwhHdXeibMxW9M3rSrhYhmYF9KBuwndKFz580E8oXcRnKZ+vhM29f2PbtBY1GLaB/oIh5y9ZjaHgEAFAcHMK8ZesBgJ2LkAiwD2UDtlO68PmTZkL5Ii5D+Ww9fObtC9u+/WB4WgtYtGLjaKfyGBoewaIVG1OqESFu0D9QxOyFD+Coufdg9sIH0D9QDLyOfSgbuNROUWXLJRqts0vPn+QPyhdxmWbJZxbnklbQP1DEVUvWcUxoUzgfuE0zxq1IRiMR6RaRpSLyhIg8LiLvEJHxInK/iDxp/x9nrxUR+YaIbBKRR0Xk7b7vucxe/6SIXOYrP1FE1tvPfENExJYH3iNrFAeHYpUT0g54uxTFwSEo9u9SBA1s20L6Slg5SQdX2imObLlCEnV25fmTfEJdhrhMM8a/LM4lrcB7LiOqge9zzsk/1DfcpVnjVlRPo68D+A9VPRbA8QAeBzAXwM9U9RgAP7OvAeBMAMfYf5cD+BZgDEAArgFwMoCTAFzjMwJ9y17rfe4MWx52j0zRaWxgkcsJaQfi7FIeBnBUAAAgAElEQVQc0d0V+B1h5SQdXGmnLO6AJVFnV54/ySfUZYjLNGP8y+Jc0gqCnosfzjn5h/qGuzRr3KppNBKRNwL4UwDfBQBV3aOqgwDOBXCzvexmAL3273MB/EANKwF0i8jhAOYAuF9Vd6rqLgD3AzjDvvdGVf2lqiqAH5R9V9A9MkWYJT6snJB2IM4uRd+cqegqdJaUdRU60TdnalPqRurDlXbK4g5YEnV25fmTfEJdhrhMM8a/LM4lraDa7+ec0x5Q33CXZo1bURJhvwXADgDfE5HjAawB8EkAv6eq2wFAVbeLyJvt9T0Atvg+v9WWVSvfGlCOKvcoQUQuh/FUwuTJk0vecyGze093V6D7dg+tsalRTWZIazgipF8E7VJ4fTatvkx5iUba7eQRR7aaRVyZSaLOrjz/pHFhHm8F1GVIXDg37acZ458Lc0mSJCUvYc+lUwTXnze9rmfuwhhHKgmTmbzqG82mFXLerHEritHoAABvB/B3qrpKRL6O6mFiQX7KWkd5ZFT1RgA3AsDMmTNHP+tKZve+OVNL6gHQGps2YTJDWscpx07ALSs3B5YH0TujJ7XJiPISnTTbySOubDWDuDKT1DzhwvNPElfm8VZAXYbEhXNTKUmPfy7MJUmSlLyEjQWNGIxcGONIJdVkJm/6RrNplZw3a66OktNoK4CtqrrKvl4KY0T6rQ0tg/3/ed/1k3yfnwhgW43yiQHlqHKPSLgSi9w7owfXnzcdPd1dEJhduXoHVkLywoNP7IhVTkhUsihbnCeCcWUeTxNXngFllLQbWZxLWkHSY4ErYxwhzaRVct6subqmp5Gq/kZEtojIVFXdCOA0AI/Zf5cBWGj//7H9yHIAnxCRO2CSXu+2oWUrAHzZl/z6dADzVHWniPxORGYBWAXgwwD+xfddQfeIhEuxyLTGElKKS/2T5IusyhbniUqy2pZJ4tIzoIySdsKlvucaSY4FfM6kHWilnDdjro4SngYAfwfgVhEZA+BpAH8B46W0REQ+AmAzgAvttfcCOAvAJgCv2mthjUNfBPCwve4LqrrT/v03AL4PoAvAT+0/wBiLgu4RCZdikRmrS0gpcfsn+1A2cKGdXBr7XcaFtqpFWFse2lVIoTbp4JI8Z0FmCEkKl/qei1QbD+KMFXzO2YTzQTyyLudRwtOgqmtVdaaqvk1Ve1V1l6q+qKqnqeox9v+d9lpV1Y+r6tGqOl1VV/u+5yZVfav99z1f+WpV/UP7mU/YU9QQdo+ohMUctzoW2YthLA4OQbE/hrF/oNjSehDiEnH6J/tQNnClnVwZ+13GlbaqRd+cqSh0VKY+fGXPXufq2ixckeesyAwhSTHlTcGLubDydqLaeBB3rOBJXNmD80F8XJnL6yWS0SiruBKLzFhdQiqJ0z/Zh7KBK+3kytjvMq60VS16Z/TgDQdVOkUPj6hzdW0WrshzVmSGkKRY+fSuWOXtRLXxIO5YwXxp2YPzQXxcmcvrJWp4WiZxJUbWlXq4BF0a80mcdo3TL9iHsoEr7eRKPRqlmeNklp7R4KvDgeUu1rUZuNJWrtSDkFYxosEHjIWV55Gweaie8aDae8yXli04H8Snlc+sGfpjrj2NwmIEWx076Eo9XIEujfkkbrvG6RfsQ9nAlXYKy3eTpTw4zR4nXWmrKGSprs3Ald+fh35FSBykMjK2anneqDYPVRuXXBmzSPNgG8enVc+sWfpjro1GrsTIulIPV6BLYz6J265x+gX7UDZwpZ3yoOg3e5x0pa2ikKW6NgNXfn8e+hUhceg6IHiZFFaeN6rNQ9XGJVfGLNI82MbxadUza5b+mOvwNM8NK+0wKFfq4Qp0acwncds1Tr9gH8oGrrRTWDhTWLmLNHucdKWtopClujYDV35/HvoVIXEYGt4XqzxvVJuHooxLaY9ZpHm4Mi9liVY9s2bpj7k2GgHuxMi6Ug8XyPqRgySYeto1Tr9gH8oGLrRTHsaYVvwGF9oqKlmqazNw4ffnoV8REod2l/lav7/auOTCmEWaC9s4Pq14Zs0at9rDv9IB+geKmL3wARw19x7MXvhAW+fvoUtjPqmnXdkvSDPomzMVhc7SmJlCp2RqjAnqTwITm86+QtIgD/2KkDi0u8yH6XWnHDuBuhshddCKdU+z1tm59zRyAS8hlRdf6CWkAtCWFlq6NOaTuO3KfkGaSvnhNhk77Mbfn4qDQxDs/wnsKyQ1Mt6vCIlNG8t8kF53yrETcNeaInU3QmLSqnVPs9bZNBq1gGoJqdp1gKVLYz6J067sF6RZLFqxEcP7SjX74X2aOdny+tPshQ9UuBqzr5BWk5d+RUhUKPOVet3shQ9QdyOkDlq57mnGOjv3RqP+gWLqHi1M/ExIJewXpFnkTbby9nuagQtzfTNx4fdRDkm7QZmvJOy3e6HTeRt7CUmKrI8nuTYauRL+0u6J9IJwQQEm6XJoVwGDQ5Wn7hzaVQi8njKTDVxop7iy5TouziEutLO/Li7M9c2if6CIvqXrMDxiPB6Kg0PoW7oOAHUZQvwkPS7lbS5JgrBxAEh/7HVpXmoH+LzjkfXxJNeJsKu5gbUSJn4uxVPwi4NDUOyfZJhIr70QiV7eP1BE353rSmSm7851lBnHcKVvx5GtLODaHBKnnVuR9NGVub5ZXHv3hlGDkcfwiOLauze0tB59c6ai0FGWFLijfZICE7dpxvyTt7kkCYLmIz+1xt5mzQmu6B/tQiufd14Ozcn6eJJro1E1S3gr6Z3Rg+vPm46e7i4IgJ7uLlx/3vS2tcbmXcEn0Rh8tdLaHla+YPmGwLwCC5a3dtFEquNK394VIlth5a6T1BySlOIVtZ1bpVRm3eW7Fi7J874arwlJi2bMPy71PVfwz0dhhI29Sc0JQXOZK/pHu9Cq550nY2CcdY+L5Do8TQTQgFMO0rDoMfHzfvKu4JNoxAl1CHLnrFZO0sGVvu3S2J8Ujc4hSYZwRW3nViV9ZNhUa7j27g0YKTPej+wzHk/Ub0jaNGP+yeNckgTVDmkAwsfeJOaEsLms/Hs9uLZoDq1yzMjToTlZ11Vy7WkUNNBXK28m8/vX4+h592LK3Htw9Lx7Mb9/fesr4QhhnSMrnYYkQ9+cqSh0loU6dDLUIcu40rddGvujEscLqB6PoSR3BaO2c6uMiK6F7yVNd0i+g7DyZkGvC+IyzZh/sjiXtIr+gSJeeX1vRXm1sTeJOSFsLusMseQpkOmQJlcJe95h5fXSKj2iFSFwWV/35Npo5Arz+9fjlpWbMWJnmRFV3LJyc9sajrLeaUg4sQfdcsWLilimYc6T+oibIyiOq7bXJ8N2/+pRvKIaacIWa0kr8XkPAV9wzjSUdSt0iCknhBiyYjx2NT9L3I2LvqXrKry9x40tVB17kzDshc1ZI6qhuZayHNLkKiMhltOw8nppxWZkS0PgMrzuybXRyJXdudtWbY5V3g6MlCX1LH9NskfcQXfRio2BeYoYf55xyjeZ2tyNPwpxvIDCrr1i8doKRd/fJ8OoR/GKaqSpljA1aaWsd0YPHpp7Kp5ZeDYemntqbgxGHuW7t0nv5hKSdbJgPPaMLSWHeixN/1CPuIeNBCXn96j2vJMw7IXNWV57h+VaYn6jZBk3NngtHVZeL6ccOyFWeT20Kj9T1tc9uTYaubI7ty/EHhJWnncWLN8QmEyTSY2zTdxB15VE9SQ5Fq3YGHjKU1YmxLSI435dzTOo3BAT1Cf9NLILH8VIUytharOSZrq4i98IWVc0CWkVrhuPXTkJsZy4h41UC1WtNeYeeMD+pWctz6QgqhmevPYPM6kzv1FyvBaiW4SV18uDT+yIVV4PrQqBcyXvZ73k2mgEINNuYHmFSY3zSVwjUKvioUnroCGwPqK4X3vGkFpTmN8QU00RadUufCuV+DydsuIn64omIa3CdaOxq3nBktTLa4VW+79z16vDuPbuDbHaqZZHWf9AER0heiRzpybH0HDw2Zlh5fXSCr2yO8Q7Kqy8XlzJ+1kvuT49rZpHi2u7D4S0G3HioQXB9l6al0ge6JszteL0F78XUPlpMbUoDg5VNTD1dHfhobmnNlrtWLTi1JBap6x4xzJvGxzCEd1dozvTrpP1E1cIaQVJnhBJqtPdVQg1KA0Nj+CqJetw5eK1JeNsmOfrrleHY7dT2GmingwE6ZEu5rcitWmF/t+qhPe1dD3XybWnET1a3KQ8ZLBWOcknB48JznUSVB42btNxkOSBWjuntcLMyhGE78I1S0GptcPfiiS11TxysuyF1IqcDoRknVblJckjcfQxwKT5KD/0ws+IasU4W80zMql2CpsrO0Wcy2+VdVq1lmuF/t8qe0Er8641w+systFIRDpFZEBEfmJfHyUiq0TkSRFZLCJjbPmB9vUm+/4U33fMs+UbRWSOr/wMW7ZJROb6ygPvkTXC+k+72kiY44kAwKt7ghfBQeVhOVHCykl7Exbh6GLkozexX7l4LQDghotOqMjFEScMKWxXDgh2409CqYhikGmFslTN9TvLC8pW5HQgJOs0I4yzXcLoC53By8Ggcs9jszwHUhjeOFvLMzKJcNuw79inSoNRwuRpLdfKfn7n6s0lutKdq5M/FKtZm2RxPI0+CeBx3+t/BHCDqh4DYBeAj9jyjwDYpapvBXCDvQ4ichyAiwFMA3AGgH+zhqhOAN8EcCaA4wBcYq+tdo9MQS+JUlqVcZ+4TZx+wZ12EodWuRo3StDEfsXitZjxhftKJveocfVdhY6q88opx04oMRglpVRENcg0M0lt/0ARr+7ZW1HueTNlOS9QlutOSKsYG+IVE1YehVYdK542u0M8Kvzl/QNFzPjCfbhi8drY+WS2DQ5VPU0TSCZ/TNZzxmSJPG3mtqqfX/rtX+Khp3aWlD301E5c+u1fJnqfZm2SRTIaichEAGcD+I59LQBOBbDUXnIzgF7797n2Nez7p9nrzwVwh6q+rqrPANgE4CT7b5OqPq2qewDcAeDcGvcgGSYrCzriDtxpJ3mkVo6H/oEi+geKePm1SmNIEEPD+6p6U926cnPVk9XqVSrSNmp4BrDyZLLdXftP5om6mHAxke6hXcGLqbByQtqRON7LpJRaY0zYGBuX68+bHhplkcQaoBVh0MTQqmfdVQg2VYSVu3oPABUGo1rl9dKs5OFRn8bXAHwGGM0r/SYAg6rqabJbAXhbhj0AtgCAfX+3vX60vOwzYeXV7lGCiFwuIqtFZPWOHVxEuk6UHY1mQ5mJTrMWUXHCNtM+lSsL8uLiYredqSUz/QPFqvLrGXDihAEA1RVvBWqerFaPoSft3d0w49vBBx4w6s0UpOAKSr0V0857FCYzwyPBp9GElbcDHO8MWZibWkUWvPrTTlcRJi979gYb1nYPDY+Go8XJq1eOAqPJrsMo92qqp3+3MmdMuxAmM70zenD+iT2jIVydIjj/xOAE5Y0QdhJeWHk9vL43eC4NK29XahqNROS9AJ5X1TX+4oBLtcZ7SZVXFqreqKozVXXmhAkMV6mGC4pW2gsMgDITlf6BIvruXFeyiOq7c10ichNHwUtb0XJdXvoHiuhbWtZOS5NpJ1If1WTGM07Uojg4lLhh1DtZLWxnuZ5xOO3d3TBDV3FwCEfPuxdT5t6DRSs24u2TDy0ZMxTAXWuKTfG+qocwmXklxFMirDzvNHNeyhquz02tJAv5h9I2bIXJy6shx6R7xp4k5qFauY288kaN980Mg25HwmSmf6CIxb/aMhrCNaKKxb/akvg43Ir5L0/5mZpJFE+j2QDOEZFnYULHToXxPOoWkQPsNRMBbLN/bwUwCQDs+4cC2OkvL/tMWPkLVe5B6iDtXVSPtBcYJDoLlm+o8HIY3qdYsHxDS+uRtqLlOtf+P/buPk6Oos4f+Oe7k0nY8JBNMCpZEhIUg8QIwWjCRT2MdwbEwIogIJz4cHje4e9OwNWgORO4YKK5E87TQ+XgBEEIT65B8CIauDuDCQQ3IQbIEZ6SbHgIJBswWWCz+/39UTWbntnumenZnu7qns/79drXztT0TNdMV1dVV9fDXRvR21dynPoUl90V73Gi6gz1ru1QdXX3YM8b+watflNrPpz03d1yDV2FCm1Xdw8eeHLnoDzD2yiU9DA7qo4r5RK55ZwZ40OFU3WiLKsKN0JKm/G8ZU/SjfdUHebD7qrXjfaKjUaqeqmqHq6qE2Emsl6pqucCuA/AGXaz8wH8wj5ebp/Dvr5SVdWGn21XV5sE4CgADwJ4CMBRdqW04XYfy+17gvZBNXAlI076AoOqF9cylDQ0QfMMDHX+AaoPFxohevsUBx0wLLJ8uG1aK9rnTMa4lmZs7+7B0hWbYrshUWmC1YKgRubC8XChFyxVxnKJ/Cxqm4rzZk4oGi5z3swJWNQ2NeGY7dcS0MMzKDwucXfG8g4n8ZY95YZtu1Bu0n7Mh91Vj0UBAGBY5U0CfQ3ALSKyCEAngGtt+LUAfioim2F6GJ0NAKq6UURuBfAogH0ALlTVPgAQkS8BWAEgB+A6Vd1YYR9UA5fuorZNi37cK2XX6JF53wYQrrhHaTSupTm2+bjK6d7bi85vfiSSzyr0ZC3cmCj0ZAVQ97y+8PlLV2yq6XctNAq1z5lc9B0A9oIlSpNFbVOdaiQq9bFjD8ONqwcvsf2xYw9LIDb7JbEQjWJ/He6iZetw2V0byy76wMZ7ourUa1GAUI1Gqno/gPvt46dgVj4r3eY1AGcGvP8KAFf4hN8D4B6fcN99UG2CLlSYEVMQVxprFsydgvbb1xcNwcrnBAvmTok1Hq4ShJsLipLl1ziRhCjz/nI9WeO4QVC4ETFrycqyDUel54q3Ucjb+LS9uwfjWprRPmcyb3A4xpVyidwzv2MDbl5j5lnJieCcGeOdakRydSXYnEjg8uJB9Yso7NrbO3Aul+sZzcZ7ourV63o/2rXkyGmcS4jCWjB3CkqmPUGTIPbGmrZprVh6xrFFQ2mWnnEsL+YszvmULoUhukkOSRAg0ry/3GTU1YpioYZyQ9Wa8zmcO3NC2SF5nETVfQvmTkE+V1ww8SZC/bmwkEo58zs24MbVW4om5r1x9RbM76i86EBcXOrx7xXUYAS4UY9YfLpp+HM5/VF6HRgwbCsovFZBjS5RN8bU63p/KMPTKGV4F5VqUVqXSKIbM5XHO+/FhucEb/QNTqjDc+70vSr0jJnfsQE3rdkS+3l17swJkeb9QXe2BChanSyo7IlqeFvpULXCHfTWFJd37ElYjHWZ+CU5/LRafsO+CuGu9DZytcd/uZ5GSWttacbaZ3fiptVbBvJBF9Mfpdcb+/x7fQeF12pYQN10WMR107Zprbht7RasenLnQNjxE0YN+Vxho1GD4VxCFMbX73xk0MWK2vA401EaKqxJCqrrOVoHrDsN+OJB4Unp6OzCHQ93xXqcBKbBKOqLqPY5k3HRsnW++cXC5Rvx+r7+sudvlMPbslbOsSfhYFk7xq5LevhpVrg6b5qrDUbN+Rw+dPTYogajAqa/xhDHTZPe/nDhtfJrMCoXXqv5HRuKGowAYNWTOzG/Y8OQ6n5sNCKiQHsDcsyg8HphhbW83QGrVQSFZ11cFYCh8kvX9dTSnMfCU6dEcs50dHYN6s0TxG81ldLzdyjDNgpxYa+TxsFjHq+gYaYuTOifJm3TWrH22Z1F8y594j3JN4C61tNIAIxqzkMkuAcZkPywvqgwPwvGmybh/WyN/znzszVD63XJRiMich4rrOW1BAxPa2nQ4WlpEXf63d3Ti4uWrcPC5RshYlZPq6WCWtrzr9aLDW+FP2jYRsvIPGYtWYnt3T0DFxGFeH/o6LH45frnihql2Asx+9jzNH5BjQq5uNdqT7mOzi7c/ODWonmXbn5wK6YfMSbRtOtSg1GTAN/95HFVLRahMPMcpbmRhflZeRyeHV5/wOkcFF4tToRNRM4LqpiywmpweFr6JDGJp9q/7h6zYo1ifwU1THyi6iHlncfDb+LGfE7wp9f2oau7xzfeN67eUrYXE2VTuZ6nVB9BjQouNTakwTd+vgF9JVduff2Kb/zcncm6kzZiWFOoMqaWMswlzM/KY08jd7CnESWCXTEpDFZYy+PwtPTwDutyRdBQz6B8Ooq4l87j4Te58Z7X9/k2ClUjK8MWaDBXV6DKMhH/mxC8bxPOnjf8G0KCwhvRa739oc/lek1XEMe1CvMzSgs2GlHs2BWTwmLX+PJGNed9L65HJbikOw1Wmve5pLSCWi6fDuouXq3CPB5LV2zCRcvWDaqMFyrpQ9lH0qsRUf24ugJVlrE3K8WlcB6HvTkRdSNLXNcqzM8oLTg8jWLHrpgUFnsaldfb5z/Dc1A4JSPuia/DKK2gBuXTl9y6fkiNOc35HM6ZMR53PNw1MOysq7sH7betx5Rv/he+vGzdQPhQ9pH0akRUP35DGXnMidJPYM5vv3O8kqgbWeK6VmF+RmnBnkYUO3bFJAA4ZEQOr7w++AL6kBGDKwqtAXdiWnknBgC7vKeFS0PSvAQmbtMu/zVUzbDGoEabMA21zfkm9PT2D/QUbLU9ivwq4739it4I0uvokXksmBvNCnHkJr+hjBziXl+jAxZbGM3FFihCI4fvr/8dkG+q+iZLPRpZ4rpWYX5GUSvUvfzCh4KNRg3GhbmE2BUzWfM7NhQt93rOjPFDWoKxVpe3TcWXl63zDS/VPmfyoGE9vBNDQUbmm7DXp8AcOcQCc6hcW9a4oBAjv4vCoRhz4Aismjd74HmU8zm1NOfxsWMPw32P72BFuwG1TUt+mfJGcsq7D/Nd+vyUdx+WQGwoq/a80edbLyw1emQeqhgYln9AHcr2OK9VmJ9RlF7f5z/KICi8Wmw0aiAdnV1ov309evvMJUJXdw/ab18PIN65hCYe6p8RTzyUjUb1Nr9jQ1HFr0914HncDUeX3bUxMLw0PfJODIUxbUILVj250zc8SS42GNWTN5+Pej6n1/f1Y/oRYxJp8CZqNPc9viNUOPmrVw+ARiIAjjnsYPxhy+6BsF17e3HRsnX48rJ1Az1a26a1DulGOW9WUlr1B1Q1g8KrxUajBnLZXRsHGowKevvU9yK9nlY/tStUOEXnpjWD7xQWwuO++Arq1RAUzjsxVC2/BqNy4XEJWoEoyybOuxutLc3Y+8a+SOdzqtdqOZQOLvSabiT1GqrTaMexKWDxjqBwGkwBPPDkzkFDqAvPCxNWr312J+54uKvmiax5s5KoGBuNGkjYi/R64aTGldWrIsUVUIiS06jnWb3mcqp0wdpoF6SNgiuwxm/4sCbfoQ3Dh9XeQ6YRjyPnH4xGpaK0p7dvYBqG0vAwNxtcuVnJsoxcwP6QRI4pVKS8KwtdeucGdHR2JR01IiJnlJtbgvlodnEF1vjVY44MHkeqp6Ab0WlbdIdlGbmCjUZEjmFFiiibkp6IO2v2vL4vsOLMfDS7uAJrNvA4Uj3lAob8pW3RHZZl5ArWYBtI0NKoXDLVLY1SkQq6gOaFNWXViHyu8kZUte6e3sA7ro2SjzaioIu+tF0MNrqWgLpnUHgWHDjcvwwICqfa5JrMysDNJWVuGieyZllGruDVWQNZMHcK8rnilvd8TrBg7pSEYkR+aqkQd3R2YdaSlZg0727MWrIyFd1Wgy6geWFNQ9UacK4Ehccl7vnjGkHQHVc2LGRX+5zJvnWZtF0MNrpGnGOxP+DLBYVTbfr6FXc/8hw+8Z5WtLY0Q2DK/8WnT03dXEAsy8gVbDRqIG3TWrH0jGOLMtClZxybugw069rnTA51d6SjswsXL1tXNN754mXrnG846g64gA4KJ6oWLyobi98d17D5KKVLX8lKsKXPyX27e/zL+qDwLOjp9Z8DKiicardrby/ueLgL7XMm4+klp2DVvNkD1ztputHKsoxcwUYjIse0TWvF4tOnVn135NI7H0FpdaPfhruMd0+oroLW46XMaRIZVOkPm49SeixcvtG3zFu4fGMS0aEasQ5A9ebXEzVtE0uzLCNXDEs6AhSfRlzeNK3CLPOZ1jtX7XMmF6VHgHdPKBpLV2xCb39xK1Fvv4ZaapfSo0/VtyxzZblkilZ3QE+UoHBy08RDm9Hl00tw4qHZbTQaPTLvO0yZc4vWT2lP1HITS7taXrAsIxdU7GkkIuNF5D4ReUxENorIP9jwMSJyr4g8Yf+PtuEiIt8Tkc0i8oiIHO/5rPPt9k+IyPme8PeIyAb7nu+JmCnvg/ZBteEM/OSSrNw9SVM350bBiSMbD8syonRZ/dSuUOFZwLlF41c6sTrrB0S1qWZ42j4Al6jqOwHMBHChiBwDYB6A36rqUQB+a58DwMkAjrJ/XwBwNWAagAAsADADwPsALPA0Al1tty287yQbHrQPqgEzSnJN27RWrJo3e9B487RIWzfnRsFhD/FIemLxUizLGkOT/0rageHkpr6AyZ+DwrOgbVorznrv+IHl4HMiOOu941NX90mT0uTE+gFRbSo2Gqnqc6r6B/v4VQCPAWgFcBqA6+1m1wNos49PA3CDGqsBtIjIYQDmALhXVXeq6i4A9wI4yb52iKr+XlUVwA0ln+W3D6oBM0qiaLH3nps4cWQ84h5GMuttY8o2VLEsawz9AW0KQeFErujo7MKyB7cONIz1qWLZg1t5o6mOSoetsn5AVJtQE2GLyEQA0wCsAfAWVX0OMA1LAN5sN2sFsNXztm02rFz4Np9wlNlHaby+ICJrRWTtjh07wnylhvKho8eGCs8yppn0SXIYWFB6Ye89N7VNa8XxE0YVhR0/YVSsd3MbIY9Z9eTOWPYjAM6bOQE3XXACVs2bjavOOi6Tlf5GSDNRaGn2n/8lKDzLmGbSZeHyjb7z7cU1iXsjphcBiuqLUU6N0AjTEzRimiF/VTcaichBAO4A8GVVfaXcpj5hWkN41VT1x6o6XVWnjx3beA0g1br7kedChWeZ62mmEQqiMJIeBhaUXth7z03zOzYMatBY9ZS3OQkAACAASURBVOROzO/YEFscXM9j0qK1pRlXnnUcFrVNHQjLynxopZhmqiMBw9CCwusp6bKaaSZdkp7EvRHTiwKDen9HMTVC0vXSuDRimiF/Va2eJiJ5mAajm1T1Thv8gogcpqrP2SFmL9rwbQDGe95+OIDtNvzEkvD7bfjhPtuX2wfVwG/FhnLhlIyOzi6037Z+4G5UV3cP2m9bD6BxV7lzdbULrgDnphtXbwkM9zY+kLvyTYKlZx4beH57V5Pp6OzC0hWbcNGydRjX0oz2OZMbNq9sBN0BdZag8HpxeUXac6/5fVHD+ay3jcFNF5yQYIyIklOP3t9B9dJLbm3s+jplVzWrpwmAawE8pqrf9by0HEBhBbTzAfzCE/5pu4raTAC77dCyFQA+IiKj7QTYHwGwwr72qojMtPv6dMln+e2DKLOS7r7sIleHgWW1xwNRklqa82UbjLwa5W4v7edKD09X57QrbTACTE/Lc6/5fUIxooLRI/2HUAaFUzRGNecxa8lKTJx3N9526T2Y6NMzMGyvwaD6Z58qyyDKpGp6Gs0C8FcANojIOhv2dQBLANwqIp8HsAXAmfa1ewB8FMBmAHsBfBYAVHWniPwTgIfsdperaqFU+1sAPwHQDOBX9g9l9kE1yDcBvf3+4eSOpLsvu2hUc973+49yYA4Lb48HIqpdLb0hXO2FSPXzoaPH+vYmjHt+RldvZgTNNRbXHGQUbMHcKWi/fT16+/bfGMznBAvmTkkwVtmWbxLseWPfQB2yMAm5t2cggNC9Bse1NKMr4FxnGURZVLHRSFV/B/95hwDgwz7bK4ALAz7rOgDX+YSvBfAun/CX/fZBtdkXMFNUUDiRK1yaw4KIoldtg1FhKNr27p6ylfakL9ypfsrNzxjn8NOg9Mc57ShIoRHBm4dxOG39tLY0Y+8b+wKn4fD2DAx788FvegIvlkGUNVXNaUTZoAGNQ0HhFK3Six1WFKrnyhwWRBQ9AfDMyz3o6OxC27TWwLyyo7Or6C59UIMRwAv3LHNlfkbOaUe1YO/keAiAVfNmY9K8u8tuV64cKdfwUziGl9y6fqD3khfLIMoaNho1kJyIb8aWY3eNunN5wsw04B1dCqM1IL20Mr04yTsX0dpnd+KOh7uK8sovL1uHr9/5CPoURcM6gvDCneLAXiNE7irUD8v1SK32M4IUznU2HlMjYKNRAzlnxnjfeQDOmTHeZ2uKEufdGBre0aUwmF7Sqae3Dzev2ep7c2Ov34R8Hq0tzbxwp9ix1wiFxV7n9ScwNxxmLVmJiYfW1mhUbZ2BjcfUKNho1EAKY/0LlfKcCM6ZMZ5LUMcgqMCq9e6Hi+rZu8PlQpkVQPe4nF6oPL8Go2qsmjc74pgQEUWLvc7jUShFurp7QtWzcyLoVw1dZ2DjMTUCNho1mEVtUxNvJBLsz9BLw7NKxH/uqCyNDKz3ijYuFsqsALrLxfRC9dHiwCqKRESVsNd5fQVdX1SrXxVPLzklqugQZQoXW6fYnTtzQqjwLGiEScjve3xHqPAsKFcBJKJ4LDyVy1U3kvMC6gpB4USuCJpYmStt1Wb0yDxaW5ohML3ah1ql5jyZRMHYaESxm37EGDSV9LBpEhNO6dWIlaFGGHZI5CqBaSjgHfrGMv2IMciVVCJyTcI6BDkvqFGCjRXhCYAFc6dg1bzZeHrJKVg1b/aQpkPgvIdE5bHRiGK3dMUm9JfcDuhXsHdGyjViZShodGGGRh0SxaLSKp4tzXmcN3NC0V3lK886LvHh1hS/pSs2oa+kEtHXr6xDkPPa50xGcz5XFMbGitqc63PDwO/3DVJaniw+fSpvQBCVwTmNKHaN2CMlrVqa8+ju6fUNL9WIK1YFdYXO0KhDoqo053ODhmpWK2gS/YJnOMcEebAOkQ0HDs9hzxuD84wDh1d30Z9GXKQhGqNH5n1vGJT+vuXqYrzhQBQOexpR7BqxR0paLTx1iu9QQr85RNqmtWLx6VN554aoATWJaUwWmP/5XHX97QoNy0HDCqJYfZGyhXWI8krL7ErhSbni41N9hxle8fFsX8y3TWstGlLFOlJ4C+YGz2Pn/X1ZrhBFhz2NGowLy4M3Yo+UNCssQep9HoQrVjW2kfkm7O3t9w2nbNvzRh+a88CVZx2HtmmtRWXNqOY89ryxD719xfd9W5rzWHjqlIE8g+UCVYN1iPJKh/9XCk8Ke91QLVqa81WnEeYVRNFho1EDcWV5cFYU0mPpik3oLalp9tq5I3i8qNS3Tn83Lr51XdHFSZOYcMo+79LRpQ3IlW5YsFygajGtlBc03NPF3hW80UR+ciI4Z8Z43PFw16AGnzCrZTKvIIoOG40aSLnlwePOQF2tKITtiTW/YwNuXrMVfaoDhVyWxklz7ggKgxU02t7dE5iPVkoHrpYL5B6mlWDtcybj4mXr4O3z2WTDiZIiAJpE0Kflu7w153MDUxtMP2LMkOsTzCuIosFGowbCBoDywvbEmt+xATeu3jLwvE914HlWGo7GBdyx5NwRFIQVtMbWMjLvRI9Woka19tmdKB0k3G/Ds3wO1mN49HkzJxTV87zhFM65Mydg+hFj0H77+kFDlQtyIkVzYbI+QeQOTjTRQDh5ZHnlemL5uXnN1lDhacTlYSmsjs4uzFqyEpPm3Y1ZS1aio7Mr6ShRxJrgfyHWnM9BFaHyUSKKViPUTfx86/R3+y7cMZTh0YvapuK8mRMG5nLMieC8mRMyc2OwFqWTlxe0tjRj1tvG+L521JsPxKI20xi09IxjfVfIa87n8C+fPJaNRESOYk+jBsIJ4coL2xMrqIttpa63SQp714zDjSgMV+ZNS6N8E+Bzk7wqlZasj1JOZKBi7zcM7aJl63zfxx6tRPFIY90kCvWqryxqm9rQjURehbpiuWkZKk3bUOg95MLCPFS70SPz2LW31zecsomNRg2EDQDljWrOo7tncAY4qtk/A8wFjM0ut7pY0goFd5h5mNg9mKrl0rxpafPEt04pet7R2YUvBzTAeOVEsL27J7ACV6vzZk7wnYS00tCBpSs2cUgrUYLSWDeJCusr9TX9iDG49M4NA+mrTxV3PNyF6UeMGfjdq21k47EKloYGte6A+kZQeK0OHJ7Dnjf6fMMpXmw0ajDMpIMF1aeCwmceORqrntzpGx6nsBkq75pRvXDetGgUemxVo1B5j7LBaPTIPBa1Ta1pElL2aM0uVt7T4ZwZ4317FJ8zY3wCsaGsaG1p5o2hGKSlx3ZLwI2qloh7GuVzTQAGlzsmPF0OyAle85nP64BcOhr00/eLp1BLQE+VoHBKRthW82de9r8Q9gsPyg6iyCau+PjUQWPMc02CKz7OhiGKF+dNi4ZfxbxUUK+BMHlKkwD5kryjOZ/DgrlmSeO2aa1YNW82nl5yClbNm11VhbVtWisWnz4VrS3NEJgLDW/vJEqvoEp6GivvWcZ5eChqhYZ/3hiqv7DzqyYlaLRr1KNgd/uMACkX7rKgKQhqnZogSNDcYkHh1WJPoxgsPHUK2m9bj97+/WdSvkmw8NQpCcaKSoVdKSxM4RmUh0aRt3LYYXKC5pJpbdBGEvYyKa/a9FKuAl4YIhY0d5CW2Y+XAPjuJ48DEH3ewR6t2ZSlynvWsUcxRaXVUy5w+HH9paVhLq7yII5VnFsCpieJunNHXPPN3XTBCTj3mt8XjYaZ9bYxuOmCE4b0uWw0igEv6tMh7AVvmIwsTONCLZPL8SItGWwkKca8rrxq00tQ3uJdjjio8t7a0oxV82Zj1pKVgQ1HfnMTkbsE/jcY4u7QHkflnYji1yRAv08m0yTAqnmzB56zzlN/acln44pnHGkurs4dcc43N9QGIj/O9ykWkZNEZJOIbBaReWHeW6/uWbWopZs/xSvssIowy9GH2XbB3CnIl4xvzedkYMgIucOVoTjM69Kh2vQSlF94lyOulKf4vQ6YO2ccLpYu5wasbhkUXi9hyjHKFpfKGIrep2b45yWl4a7UebIsLflsXPGMI821TWvF0jOPLdrH0jOPjTxdB80rl5b55pzuaSQiOQA/APCXALYBeEhElqvqo9W8v17dsyi7wvTYCdOrol7bUvJc6OXFvC49qkkv1eQBlbZhPpIdtax6WQ9MU42LZUy2hcljXKjzZFla8tk44xlHmotjH66U5bUSjXrGqgiJyAkAFqrqHPv8UgBQ1cVB75k+fbquXbs2phhSvYjIw6o6PY59Mc1kQ1xphuklO5hmKAyWSxQW0wyFxXKJwmKaoTBqTS+uD09rBbDV83ybDSsiIl8QkbUisnbHjh2xRY7Si2mGwmB6obCYZigsphkKi2mGwmB6obCYZqjA9UYjv5mhBnWNUtUfq+p0VZ0+duzYGKJFacc0Q2EwvVBYTDMUFtMMhcU0Q2EwvVBYTDNU4Hqj0TYA3tmhDgewPaG4EBERERERERE1DNcbjR4CcJSITBKR4QDOBrA84TgREREREREREWWe0xNhA4CIfBTAVQByAK5T1SsqbL8DwLM+L70JwEvRxzC1XP89jlDVWPpBlkkzaeT6cY1C0HeMJc0wj6laGn6PJNNMGn6fUmmLc9TxdaFcStsxqDfXf4+k04zrv09BGuIZVxxZl6ldmuMO1B5/ppnoZOm7AP7fp6b04nyjUVREZG1cK1ikAX+PbGqE4+rqd3Q1Xknh71FeGn+ftMU5bfGtRha/01Dw9ygvLb9PGuKZhjhGIc3fM81xB9Ib/7TG20+WvgsQ7fdxfXgaERERERERERElgI1GREREREREREQ0SCM1Gv046Qg4hr9HNjXCcXX1O7oar6Tw9ygvjb9P2uKctvhWI4vfaSj4e5SXlt8nDfFMQxyjkObvmea4A+mNf1rj7SdL3wWI8Ps0zJxGRERERERERERUvUbqaURERERERERERFVioxEREREREREREQ2S+UYjETlJRDaJyGYRmZd0fJIkIuNF5D4ReUxENorIPyQdJ4qOiDwjIhtEZJ2IrE06PlEQketE5EUR+aMnbIyI3CsiT9j/o5OMo40T8xmL+UxlrqSXMOeXGN+zcX5ERI73vOd8u/0TInJ+HePrm7ZcjnOUXEk3LmA+U5nr6SVNx1BEciLSKSK/TDou9ZLW9CIiC0Wky9Z914nIRz3vudR+n00iMie52A/EZ1A9vZbyK4Z4RlnWThCRX9vPelREJsb1Per0fb5jP+Mxu404/l2OFpHfi8jrIvKVks8Kd86ramb/AOQAPAngSADDAawHcEzS8Urw9zgMwPH28cEA/q+Rf4+s/QF4BsCbko5HxN/pgwCOB/BHT9h3AMyzj+cB+HbCcWQ+U/x7MJ8p//s4k17CnF8APgrgVwAEwEwAa2z4GABP2f+j7ePRcaYtl+OcxXTjwh/zmfSnlzQdQwAXA/gZgF8mHReml0H5/0IAX/HZ/hj7PUYAmGS/Xy7h7/AMSurpYcuvhH/r0HEFcD+Av7SPDwIw0qG0E7bu8GcAVtnzJQfg9wBOdPy7vBnAewFc4T1Pajnns97T6H0ANqvqU6r6BoBbAJyWcJwSo6rPqeof7ONXATwGoDXZWBEFU9X/AbCzJPg0ANfbx9cDaIs1UoMxn/FgPlORM+kl5Pl1GoAb1FgNoEVEDgMwB8C9qrpTVXcBuBfASXWKb1DacjbOEXIm3biA+UxFzqeXtBxDETkcwCkA/iPpuNRRFtPLaQBuUdXXVfVpAJthvqdrwpZfdRdVWSsixwAYpqr32s/6k6rujeM7eEVYd1AAB8A0sowAkAfwQmxfBOG/i6q+qKoPAegt+ajQ53zWG41aAWz1PN8GBwukJNjugdMArEk2JhQhBfBrEXlYRL6QdGTq6C2q+hxgMk+YVvQkMZ8JwHzGl+vpJej8Cop3It+nJG2lIs5DlMY4x4L5jK9UpRfHj+FVAL4KoD/piNRR2tPLl+wwoutk/5QFLn4nv3p62PIrVkMsa98BoFtE7rTDO5eKSC6uuPsZyvdR1d8DuA/Ac/Zvhao+Fk/MB6vyuwQJnb6y3mjkN85QY4+FY0TkIAB3APiyqr6SdHwoMrNU9XgAJwO4UEQ+mHSEGgTzGR/MZwKlNb0ExTv27xMibTkT5wikMc51x3wmUGrSi8vHUEQ+BuBFVX046bjUWZrTy9UA3gbgOJgL+X8pbOrz9qS/U5h6euLxj6CsHQbgAwC+AjNE6kgAn4k4mlUb6vcRkbcDeCeAw2EaWGYnda0VQb4ZOn1lvdFoG4DxnueHA9ieUFycICJ5mER2k6remXR8KDqqut3+fxHAz+FmN9wovFDoomv/v5hwfJjPlGA+U5br6SXo/AqKd6zfJyBtOR3niKQxznXFfKasVKSXFBzDWQBOFZFnYIZvzBaRG5ONUl2kNr2o6guq2qeq/QCuwf66r3PfKaCeHrb8ikWEZW2nHQK1D0AHzDyKsYvo+3wcwGo7zO5PMPMezYwj/l4hv0uQ0Okr641GDwE4SkQmichwAGcDWJ5wnBJjZ3i/FsBjqvrdpOND0RGRA0Xk4MJjAB8B8Mfy70qt5QAKqx2dD+AXCcYFYD5ThPlMRa6nl6DzazmAT9tVRWYC2G27QK8A8BERGW2HBXzEhkWuTNpyNs4Rcj3dxIr5TEXOp5c0HENVvVRVD1fViTC/4UpVPS/haNVDatNLyTw/H8f+uu9yAGeLyAgRmQTgKAAPxhXfUmXq6WHLrzjiGlVZ+xCA0SIy1m43G8Cjdf8CJSL8PlsA/LmIDLMNN38OM6dQbGr4LkHCn/Ma8wzmcf/BzID+fzAzhH8j6fgk/Fu8H6br2SMA1tm/jyYdL/5FcmyPhJn5fj2AjVlJ6wBuhulu3AvTKv55AIcC+C2AJ+z/MQ7Ek/nM/t+C+Uzl38iJ9BLm/ILpyvwDG+cNAKZ7PudzMJOMbgbw2bjTlstxzmK6ceGP+Uz600vajiGAE5HR1dPSnF4A/NTm74/AXPQe5nnPN+z32QTg5ITj71tPr6X8SvC3rqWs/Uv7ORsA/ATAcIfSTqjvA7Pi2I9gGooeBfDdFHyXt8LU714B0G0fH2JfC3XOi30TJcR2ef1rVf1N0nGhbBKRhQDerqrn2UnTngaQV9NVNM54nAjgRlU9PM79kvtE5CcAtqnq/KTjQvuJyAEAegCMV9VtSceHsq+0nBCRyTDDgt4OU6n9XsT7m4iEykQiMpKoHyZR7xCRz8Bc870/rn02Ol5nRyfrw9OGRESeEZG/iHmf7xCR20TkJRHZLWY1gItliLPNi8iJIsJKf4xE5DMiskFE9orI8yJytYi0JB2vUiIyR0T+R0ReFZEdIvLfInJq0vGigTyoR0T+5Pn7foX3RHKui8hwEVkoIk+IyB4bl+vsRRYlpCQt9Jekj3MrvPckEdk8hH3fIiKv2329KiIPicif1fp5ZfYzKJ4icqiI3CAiL4jIKyLyuIhcZF87QETUptPCb/F81PFKk5K8Y5eI3C0i4yu/M9Q+FkrJ/C4icr+I/HVJ2FDypK8CuF9VD1bV74nIT0TkDU8afFhE/jxEnGOv12WBiJwtImvsOfaiffx3dqiEE0TkV57zv9eTTv4kIj9MOn5ZUkvdxGU2j+r35CubROSzSceL9hOR94vIA/baeKeIrBKR90b02R/wpOM9tj7hTdsTothP2rHRyCEi8jaYZfO2ApiqqqMAnAlgOoCDk4xbJUNt1MoaEbkEwLcBtAMYBTNR2hEA7hUzdjSq/Qwb4vvPAHAbgBtgJkF7C4BvApg79NhRROaq6kGevy/Vc2eeNHU7gFMBfAomDR8L4GEAH67n/qk8b1qAGV/vTR83xRCFf7L7HgXgepjJGOPwfZgu4+8A0ALgdADPlGwz2fNbvDWmeLlsrj1WhwF4AcC/JRyfWhwBM5TD6zueNHg1gDtZB6kfW5/5VwBLYYY6vAXAF2EmiQ5VnxlqnaUcVT3ZkzfeBJtO7N8X67XfBhZr3SQG223aOQTA1wBcIyLHhPmAeqbvRiYihwD4JUwZNgZm5bLLALwexeer6v968o4pNrjFk7a3RLGftGOjUUhiJs78pe2Rscs+Ptzz+v0i8k+2BfRVEfm1iLzJ8/pficizIvKyiHyj5OMvA/CAql6sdrIzVd2kqp9S1W77/lNFZKOIdNt9vdPz2c+IyFfE9E7aLSLL7B3YA2FmeB/naTUdJ2ZyuKtEZLv9u0pERtjP+oyI/K7kuxeWG4S923e1iNwjInsAfCjSHzrFbOZ2GYD/p6r/paq9qvoMgE/CVIC/Yu/QjPG8Z5qY3mV5+/xzIvKYTWMrROQIz7YqIheKyBMwY1chIv8qIlvF3IF/WEQ+UEU8BcB3YS4C/0NVd6tqv6r+t6peYLdpEpH5Ns2+KOZO/yj72kQbl/NFZIuN/zc8n99s08kuEXkUZrlNioA99273PP+2iPy2zLneJCLzRORJm/fcWkh/nuP4eRHZAmClmDvxfwngNFV9SFX32fTxA1W91r5vnIgsF3PHZ7OIXOCJz0K7jxtsPrhRRKZ7Xp8mIn+wry0DcEA8v1z22fPuByLynIhsE5GlIpIXkUNhVms50pM2DhWRWWJ6Dey25cCVUkXFV81KNT8D8FZPWjpaRH5nP2uHiNxgwws9gb5o0+ArNl+ZLCIP2u1vEjO5pG88YfKPmzz51KOq+vN6/Y5ZoqqvwTQCHwMAIvJREXnUnn9dIvIVG36iTTNftfn9cyLSZrf/P3uuf91uexKArwM4yx6j9dXGR0Q+a8u3V0XkKRH5m4DtVsLULb5v9/GOku9VSINjYBoyICJvE5GVNp97yaarFvvaTwFMAHCX/byvej7uXL9yrNHZ8v5yAH+nqrer6qtqdKrquar6uoicIiKd9rzeKmZIfOH9g8oXG36bmB7Yu8X0dJ7iec+hInKX/byHRGSReOqjNp+516bHTSLyySq/y+MicrLn+Qgx9ZN3icjbbTwvkP114os82zaJyNdt/vWSmF6Xo4fy22aR2GsHEfln+9s+XfKbjxGR/7S/7y4R6Qj4nHeKucbpFlN/ONXzmm/+ZV/7mIiss+97QETe7XmtqnqHTd8dAHZhf55Z6drrayLyCIA9thwbLyJ3iikHX5aSXlhBvw8FegcAqOrNalbK61HVX6vqI+Xy/FJSpi5cjoicIyJrSsK+JrYeLiI3iql3/damr/vE07NXRI4Rkd/YPOtxEfnE0H6OhNR7wqY0/8HcxfyLkrBDAXwCwEiY3j+3AejwvH4/zIRS7wDQbJ8vsa8dA+BPAD4IYATMBfu+wj4API8yE3Laz9wDczGXh+m2vRl2UjEb3wcBjIOpRD0G4Iv2tRNhxu56P+9yAKsBvBnAWAAPwDQgAMBnAPyuZHuFmRsHMJOZ7Ya509QE4ICkj5crfwBOssd1mM9r18NMPrsSwAWe8KUAfmgft9nj+k4AwwDMh2lM9B6He+0xbrZh59m0OQzAJTYtHWBfWwgzVhwAJtr3DwNwtH08qcx3KUwWeySAgwDcCeCnJZ91jU3rx8K0+r/Tvr4EwP/aeI6HWSViW9jfs5H/4JMH2fCRMJPXfQbABwC8BOBw+5rfuf5le64fDpP3/AjAzSXH8QYAB9pjuQTAf1eI238D+HeYitdxAHYA+LAnzb0GM8leDsBimGVKAXNn+lkAF8HkY2fATMS8KOnfO21/fukDwHfsefcmmAvph7B/ws2TAGwu2f59MA0yOQBvs+d7odw4wKaNQtq6BcB8+zhn09XjwMD8iD8H8BWYHkHNAGaVfM5tNh+ZZo/5r2Ea0sfANICfVSaeN8JMIHo+bDnkea0onvwrThs2v7gewA32+XMAPmAfjwZwvH18IkzZ9U17bl5gz+ufwdR3ptjz+ki7/ULYssWz3/th5o/whp0IT54E4BSb1gRm9Zm9JXHYFvR5MHWPRZ40+EUATwHI2bC3w9SRRsDUa/4HwFVB5wwqlGON/ocy9ZmS4zsVpi74bphebW0lv+9A+WLDP2fT1AgAVwFY5/m8W+zfSJh681bY+qj9jK0APgtTjzkepvybUhKngXTiCfs6TMNz4fknYJYDL6QbhZlUeaRNBy8DONG+/hUAq2B6OBwAs3rRT5M+Pgmmi6LzyBP+GZi8/QJ7fv4tzDLehTLibgDLYPKdPIA/96ShbfZxHqYc+jpMfWE2gFdhepICwfnX8TDLjM+w+z7fxnMEKtQ7SvbfBLMKWy+Ayaju2msdTD232e57PYArbXo9AMD7q/l9+BeY3g6x5+P1AE4GMNrzWtV5PsrUhT3bT4S9TvKENcNMIn2UJ2wDzI1VwNRPCtfEI2Am0b7fvnYwgC4An4bJs95jv8vkpH/X0Mch6Qi4/IeATLFkm+MA7PI8vx+2Um2f/x2A/7KPvwngFs9rBwJ4w5OYewGcVGZf/wjgVs/zJpsQT/TE9zzP69/B/oaIgQzR8/qT8KxUAWAOgGfs48+gcqPRDUkfIxf/YBpwng94bQlMg89fwyzdCpiK81YAH7TPfwXg8yXHeS+AIzzHYXaFOOwCcKx9vBD+jUaz7OPABj+YGfj/zvN8sk2nwzyfdbjn9QcBnG0fP+VNzwC+UJoG+VcxLT0D09Dc7fm7wL72PgA7YSpC53je43euPwbboGOfH+ZzHI/0vH4NPHmVT7zGA+gDcLAnbDGAn3jS3G88rx0DoMc+/iBKKkkwDdZsNKotfZQ2GnV58wcApwF43D4e1Bjj85nzsL9B0a/RqMemw9fs4zM9770VZhjZYSWfWfic93jCNgL4B8/zH2D/DRa/RqMDYcrQdTAXsZuwv+wsfP5uz3nynaSPjwNpo5B37LPn3FT72hYAfwO7gornPSfaY1pogDnY/q4zPNs8jP0NAgvh32i0F8V51p9QJu8H0FFIC6iu0eg1Txp8DcC5ZT67DbZhwO+cQYVyrNH/4FOfgcmvu21a+aDPe64CcGXJ73tkmX202G1GwVxI98JzQQVgEfY3Gp0F4H9L3v8jAAtKwn6CwY1G7RyfgQAAIABJREFU42FWEDrIk+4uto8LjUZv92z/XQA/so+fgG3g8HzW6wCakj5GCaULb/4yUDeBuXbY7NlupP1d3wpT7+iH54Lfs93AeQ9zI+x5728Lc7N1oX0clH9dDXvj2xO2CaZhumy9w+6/336PnTDlTKEuW8211+c8r58A09jud+M48PdJ+pi6/gdzI/0nMKt/7YNZKe8tPtsF5vkoUxf2hE1ESaORDb8GwGX28XEwjdV5+/xGeMpCmLys337+uQDuK/msa+HgCoWV/jg8LSQRGSkiPxIzXOcVmBbNFikeT++dgHMvzJ1VwPQA2lp4QVX3wLQ2FrwMk8CCjIO5QCy8v99+XmsV+674efbxuDLbl9paeZOG9BKAN4n/EI/D7Ou3AzhBRMbBFGYK0zsAMHfe/9V2gy0UYILi41z024vIJWK6+++27xkF09OgnELaqzrN2cfDYIcCWFWl95LPoeq1qWqL5+8aAFDVB2Ea5gTmYr2cIwD83JOmHoNp9PEeR++xqiYv2qmqr3rCnkX5vOgAe06MA9CltuT0vJeGSEQEpnJees62+r9joNv0r8ROMA3TMFMu77hCVVtg7rydADN0aLZ97SKYSnCnmGHS55W89wXP4x6f54HllaruUdXLVfU4mF6VdwG4Q0S88/1N8ZwnX/X/pIbSZo/VCABfAvDfIvJWmB4WHwXwrJiFD07wvOdlVe2zj3vs/6qPk/X33jwLwMe8L4rIySKy2nbV77ZxqVReef2zJw1OB7C0MMRDRN5shw512fR8Y5WfHabu1EheRkl9RlX/zP7+LwNoEpEZdjjGDhHZDdP7q/Q3HyhfRCQnIkvsEJFXsH9usjfB9BQYhuLyyPv4CAAzCmWZTT/nwuR7ZanqVpgGwY/bISkfgelF5xtPFNeJC8MaC/vcAFNve3Ol/WaYb90EnnNJVffahwfBNLTtVNVdFT53HICt9hqnwFuOBeVfRwC4pCRtjLefV029Y7v9HmNU9ThVvcUTn0rXXt50Mx7Asxq8GmPQ70NlqOpjqvoZNSvsvQvmuFwVMs+vpi4c5HqYvAYwjenLVLXX87r3+n43zE2scXafs0rS5VkoX8d2EhuNwrsEprfFDFU9BOaCHzAXbpU8B5OZmDeIjISp/Bb8BiYzDLIdJvEV3i/287qq2Lf6hBV9HkyhuN0+3gNT+S/sy69A9vtMAn4PcwfqdG+gmPlmTgbwWzVzVP0aZp6jT8Hc2S/8nlsB/E1JYdysqg94Pk49n/sBmEn7PglzB6cFJrOqlCY32X1VneZg0sg+FF9EBClK7/a9FBERuRDmYnA7THfpAr/zciuAk0vS1AGq2hXwvt8AeJ945msrsR3AmJIL9gmoLi96DkCrzb+876UhsnnI8xh8zhaOi1/auAbAHwC8zZZpl6OK8kyNdTAXYR+1YV2q+jmYytDfA7hOalt1pGzZYitkS2C6rDPtVKBmDog7YSrH71czT9lpMBe8Hajc6Bz40WHfIGbexDsA/DPMXeIWAPegujpU8c6NP8IMGzrFBi+28Xq3Tc/nlXw26y3hFOozp5XZ5mcwd/3Hq1nA5YcYfDy9v/un7Of9BcwNrok2XGB6aOyDGT5S4K1HbIUZOu0tyw5S1b+t8vtcD5MmzgLwP6pauspiaZ2lUCfeBuAvfcrQhl6lMaStMPWGSqsIbwcwXkS816gD5ViZ/Gsr7E0Nz99IVb0ZQ6t3VHPt5U3fWwFMCLhxTBFQ1cdheh29C5XzfK9q6sJB+/wdAIjILADnwAxl9fJe34+Cydu2233+1ifPSt3E8Ww0qiwvZhLPA0TkAJjxsz0Auu2digUhPut2AB8Ts2zgcJjKufcYLADwZ2ImLn0rAIiZnO9Gm8neCuAUEfmwmAmTL4EpzB9AZS8AONQm5IKbAcwXkbFiJuv+JkwLLWDG404RkePs914Y4ns2NHtBcxmAfxOzdHRezDLlt8FUPAoZzc9gxrh+AsV3u34I4FKxE0OKyCgRObPMLg+GqWTtADBMRL4JczFVKZ4K4GIA/yhmYtJDxEwS934R+bHd7GYAF4nIJBE5CMC3YFrXg+6geN1qv8do2/jw/6p4D1VBzISwi2AKx78C8FUROc6+7Heu/xDAFWInVLfnfOBFgKr+BmYY5c9F5D1iJnY8WMxExp+zd2wfALDY5o3vBvB5mBVrKvk9THr9e/u5p8MMtaNo3AxggZjJZN8M4BvYn6+/AODN9lwuOBjAblX9k81zLkCVRORdMCtDbrTPzxKRcTZv6babVZNXlBoUTzGTqx9v89NmmEapl2DmlqAyxDgNpv7yhIicKyKj7F3SV2Aak2rxAoCJJRd3lQyHaezeAWCfmB5CH6lx/xCRowG8H/tXWDsYdtiMiLTCrGBaGucja91fo7E3uC4D8O8icoaIHGTrCcfBDBkFzG++U1VfE5H3wTQKlXMwTN31ZZibk9/y7K8PZu7EhWJ69h8NU08q+CWAd4hZVCZv/94rnomJK7gTZs6bL8HMs1TqH8UsJjAVZk6cZTb8hwC+VWgEt70bTvV5PwVQs8DPr2DS0mh77D7os+kamBvXX7XbnAizou8tIjK8TP51DYAviun5JiJyoJhJ2g/G0OodYa+9HoRppFpi43CAbWigGomZ/P4Sey0BMZNMnwMzP1GlPN8rVF3Yx09hhkHuUdXVJa/NFZETxNwYKQypfQ6mQX2KiHzKk2e9T0Qmh9ivE9hoVNk9MI1Ehb9Cl+iXYBLrf1X7Qaq6EcCFMA0Ez8HMO7PN8/qTMN39JwLYKKab7x0A1gJ4VVU3wVwk/pvd/1yYJS/fqGLfj8NcTDwlpnvcOJhEvRbAIzBdbf9gw6Cq/wfTqPUbmLHcv/P7XPKnqt+BmcTvn2EKtTUwrc0fVtXCEpHLARwF4AVVXe95788BfBumgHwFZgLpcqsrrIApiP8Ppgvta6hy6KCq3g5zx+1zMC3iL8CkgV/YTa6DyST/B8DT9rOrbfy5zMbnaZheVaWt8lSdwko/hb+fwzQCfFtV16vqEzBp7aciMiLgXP9XmPT2axF5FSbvmlFhv2fA5H/LYHqu/RFmKMhv7OvnwORV22EmQF6gqvdW+jI2vzodZmz/Lpj0d2d1PwVV4ZsAHoW5iF4H0wvjO/a19TDp4FmbNsbADCn7axH5E8y8QssGf2SRfyykRZhJTf8d5o4fYMqvh+1rtwH4gqpu9/+Ysvzi2QST7nfClJuzYObki2TJ3Yy6yx6LVwBcAXMR/BhMQ/Mztnz5Iky9oha32f8vi8gfqnmDmiGtfw9zIbYLpoFhecj9ftWmwT0wZct/wsxrA5hy53iYPOtuDM5bFsPcLOsWz6pLFMzWZy6G6dH6Ikw94UcwPZwfgJm783JbtnwTlXuu3QBTN+iCyatKL76+BHOX/nmYesPNsEtr2/TzEQBnw5Q9z8PUl0ZU+V32wPROmWD/l/odzLDvXwNYrKorbfh3Yer7v7Xf8wFwRVi/ukklfwUzh8zjMGnpy6Ub2DrCqTD13pdgyphP27pN4TMG5V+quhbmpsf3YfKWzTD1jCHVO8Jee9mGz7kw82RtgSmvzqpmXxToVZg66xqb76+GqZNegsp5vlctdWGvG2B6N/ldz9wIc/30EsyCAH8FDHQkmAOThp6DybMWo8o8yyWF2eyJiIiIiIicISLfhpko+PyIPu9yABNU9TOesLcDeEJVQw+TJKLGIGaakRcBvEtVn/aE3wgzwfnCpOIWB463JCIiIiKixNkhacNhesC/F2bo819H9NmHAvgs2PODiMK7EMAqb4NRI2GjERERERERueBgmCFp42Du6v8L9g+Zr5mI/C3MlAH/WbKwCBFRWSKyDWZoZZg5kDKFw9OIiIiIiIiIiGiQqibCFpGLRGSjiPxRRG62M8FPEpE1IvKEiCwTsxoYRGSEfb7Zvj7R8zmX2vBNIjLHE36SDdssIvM84b77ICIiIiIiIiKi+qrYaGSXr/t7ANNV9V0AcjCrFnwbwJWqehTMTPSft2/5PIBdqvp2AFfa7SAix9j3TQFwEsySizkRycGs2HIygGMAnGO3RZl9EBERERERERFRHVU7p9EwAM0i0gtgJMyScbNhlkoFgOsBLARwNcxYv4U2/HYA3xcRseG32OVxnxaRzQDeZ7fbrKpPAYCI3ALgNBF5rMw+Ar3pTW/SiRMnVvm1yFUPP/zwS6o6No59Mc1kQ1xphuklO5hmKAyWSxQW0wyFxXKJwmKaoTBqTS8VG41UtUtE/hnAFgA9AH4N4GEA3aq6z262DUCrfdwKYKt97z4R2Q3gUBu+2vPR3vdsLQmfYd8TtI9AEydOxNq1ayttRo4TkWfj2hfTTDbElWaYXrKDaYbCYLlEYTHNUFgslygsphkKo9b0Us3wtNEwvYQmwaxkcCDMULJShRm1JeC1qML94vgFEVkrImt37NjhtwlREaYZCoPphcJimqGwmGYoLKYZCoPphcJimqGCaibC/gsAT6vqDlXtBXAngD8D0CIihZ5KhwPYbh9vAzAeAOzrowDs9IaXvCco/KUy+yiiqj9W1emqOn3s2Fh6AVPKMc1QGEwvFBbTDIXFNENhMc1QGEwvFBbTDBVU02i0BcBMERlp5yb6MIBHAdwH4Ay7zfkAfmEfL7fPYV9fqapqw8+2q6tNAnAUgAcBPATgKLtS2nCYybKX2/cE7YOIiIiIiIiIiOqomjmN1ojI7QD+AGAfgE4APwZwN4BbRGSRDbvWvuVaAD+1E13vhGkEgqpuFJFbYRqc9gG4UFX7AEBEvgRgBczKbNep6kb7WV8L2EfqdHR2YemKTdje3YNxLc1onzMZbdMqTtFEFDumVao3pjH38RhRvTBtUVplOe1m+bsRVcL0X1lVq6ep6gIAC0qCn8L+1c+8274G4MyAz7kCwBU+4fcAuMcn3HcfadPR2YVL79yAnt4+AEBXdw8uvXMDADBBklOYVqnemMbcx2NE9cK0RWmV5bSb5e9GVAnTf3WqGZ5GQ7R0xaaBhFjQ09uHpSs2JRQjahQdnV2YtWQlJs27G7OWrERHZ1fZ7ZlWqd6Yxty3cPlGHiPHhM3LXcXzn9Iqy2k3y9+NqBKm/+pU1dOIhqaruydUOFEUamk53x6QJoPCicJifui2js4udPf0+r7GfCAZWboLyjKG0irLZVeWvxtRJUz/1WFPoxjkREKFE0WhlpbzcS3NocKJwmJ+6LZa8geqryzdBWUZQ2mV5bIry9+NqBKm/+qw0SgGfaqhwomiUMsd3fY5k9GczxWFNedzaJ8zOdK4UeNifui2SvkDxS9LvXNYxlBaZbnsyvJ3I6qE6b86bDSKQWvAHbSgcKIo1HJHt21aKxafPhWtLc0QmDS6+PSpqRsCQe5ifui2oPxh9Mg884GEZKl3DssYSqssl11Z/m5ElTD9V4eNRjHgnTVKQq3prm1aK1bNm42nl5yCVfNmszJPkWJ+6Lag47Ng7pSEYkRZO2dYxlAaZe089MrydyOqhOm/OpwIOwaFCtHSFZuwvbsH41qa0T5nMitKVFdMd+Qipku38fi4h8eEKHlZPg+z/N2IKmH6rw4bjWLSNq2ViY9ix3RHLmK6dBuPj3t4TIiSl+XzMMvfjagSpv/KODyNiIiIiIiIiIgGYaMRERERERERERENwkYjIiIiIiIiIiIahI1GREREREREREQ0CBuNiIiIiIiIiIhoEDYaERERERERERHRIGw0IiIiIiIiIiKiQdhoREREREREREREg7DRiIiIiIiIiIiIBmGjERERERERERERDTIs6Qg0io7OLixdsQnbu3swrqUZ7XMmo21aa9LRooxjuqMwmF4aA49z+vCYESUvy+dhlr8bUSVM/5Wx0SgGHZ1duPTODejp7QMAdHX34NI7NwAAEyTVDdMdhcH00hh4nNOHx4woeVk+D7P83YgqYfqvDoenxWDpik0DCbGgp7cPS1dsSihG1AiY7iiMONNLR2cXZi1ZiUnz7sasJSvR0dkV+T7IX6XjzGPjHublRMnL8nmY5e9GVEkW03896nJVNRqJSIuI3C4ij4vIYyJygoiMEZF7ReQJ+3+03VZE5HsisllEHhGR4z2fc77d/gkROd8T/h4R2WDf8z0RERvuu4+06eruCRVOFAWmOwpje0C6CAqvVeGOTld3DxT77+iwcSIe5Y4zj42bmJcTJS/L52GWvxtRJXHVf+NSr7pctT2N/hXAf6nq0QCOBfAYgHkAfquqRwH4rX0OACcDOMr+fQHA1YBpAAKwAMAMAO8DsMDTCHS13bbwvpNseNA+UiVn2sCqDieKAtMdhTGupTlUeK2yeEcnTcodZx4bNzEvJ0pels/DLH83okriqv/GpV51uYqNRiJyCIAPArgWAFT1DVXtBnAagOvtZtcDaLOPTwNwgxqrAbSIyGEA5gC4V1V3quouAPcCOMm+doiq/l5VFcANJZ/lt49U6VMNFU4UBaY7CqN9zmQ053NFYc35HNrnTI50P1m7o5M25Y4zj42bmJcTJS/L52GWvxtRJXHVf+NSr7pcNT2NjgSwA8B/ikiniPyHiBwI4C2q+hwA2P9vttu3Atjqef82G1YufJtPOMrsI1VaA1oqg8KJosB0R2G0TWvF4tOnorWlGQKTThafPjXySQCzdkcnLQrj2y9atg4jhjVh9Mj8oOPMY+Mm5uVEyYvqPHRx3jjmMdTI4qr/xqVedblqGo2GATgewNWqOg3AHpQfJubXl1FrCK+aiHxBRNaKyNodO3aEeWssPnT02FDhVH+up5koMN1FpxHSC2AKzlXzZuPpJadg1bzZdSkwGyVdupRmSse3d/f04rXeflx51nFFxzlrd9vSJijNNMo5Q+G5lM9kXRT5Y9LzxjGPobAaJY+Jo/4bl3qdz9U0Gm0DsE1V19jnt8M0Ir1gh5bB/n/Rs/14z/sPB7C9QvjhPuEos48iqvpjVZ2uqtPHjnUvg7vvcf+TLCic6s/1NBMFprvoNEJ6iUujpEuX0ky149uzdrctbYLSTKOcMxSeS/lM1kWRPyY9bxzzGAqLeUz61Ot8HlZpA1V9XkS2ishkVd0E4MMAHrV/5wNYYv//wr5lOYAvicgtMJNe71bV50RkBYBveSa//giAS1V1p4i8KiIzAawB8GkA/+b5LL99pArniaAkMN2Ri5gu4xfmN2+b1spGIsfwnCFyw1DzR1fPZVfjRUTh1et8rthoZP0/ADeJyHAATwH4LEwvpVtF5PMAtgA40257D4CPAtgMYK/dFrZx6J8APGS3u1xVd9rHfwvgJwCaAfzK/gGmschvH6kyrqXZd9lKzhNB9cR0Ry5iuoxf0G/eJIJJ8+7GuJZmtM+ZXPPFUEdnF5au2ITt3T1D/iwajOcMkRuGmte5ei67Gi+iuGSpHlOv87mqRiNVXQdgus9LH/bZVgFcGPA51wG4zid8LYB3+YS/7LePtJl4qP/Bm3goM2OqH6Y7chHTZfza50zGpXduGDQsorAyTmFeDQChK0mFOToKnz2UzyJ/PGeIkhdFXveho8fixtVbfMOTxDyGGlnW6jH1ymeqmdOIhmj1U7tChRNFgemOXMR0Gb/SuThyMnj9iVrn1Uh6jo5GwHOGKHlR5HWuzh3EPIYaWdbqMYnNaURDV7ibW214I8hSN0BXMd2Ri5gu41Wa11551nG4aNk6321rGe/OuTDqj+cMUfKiyOtczS+Zx1Ajc/W8rFW9vg97GsXA765uufCsS3rJ0UYRlLwaNNmRI5gu4xOU17aMzPtuX8t496D3cC6M6PCcIUpeFHldUN4bFB4X5jHUyEY1+59/QeGuq1e9jI1GMThnxvhQ4VmXtW6Armoe5n96B4UTxYHpMj5Bea0q0JzPFYU353NonzM59D7a50yO7LPIH88ZouRFkdcFddxJukMP8xhqZFlrNK1XvYy5QQwWtU3FeTMnDPQsyongvJkTsKhtasIxS0bWugG6qqe3P1Q4URyYLuMTlKfu7uktmuOotaUZi0+fWtMQ4dL5kobyWeSP5wxR8qLI63b39IYKjwvzGGpk3Xv9z7+gcNfVq17GOY1isqhtasM2EpXi0p7x4O9MLmK6jE+537ptWmtkDTtRfhYNxnOGyA1DzetcPZddjRdRHLKY/utRL2NPo5h0dHZh1pKVmDTvbsxasrKh5+/hcIZ4tM+ZjHyuuG9lPif8nSlRTJfxCZPXsoxyF88ZIjcMNZ90tf7LPIYamavn5VDUo07HnkYxKExGWphbojAZKYCGvDtb+M5cPS0GpePkuRAGuYDpMhbV5rUso1KA5wxRoqLIJ52u/zKPoQbl9HlZg3rV6dhoFINyEz+nNUEOFYcz1N/SFZvQ219c6vf2a0OnO0oe02W8qslrWUa5jecMUfKiyiddrP8yj6FG5+J5Wat61enYaBQDTvxMSWC6IxcxXSavo7Or6I6a31h+gMfEFTxniJIX1XlYmv+60KOBeQxRdtTrfGajUQxGNefR7bMywqjmfAKxoUaRtXTnYkUra+L4jbOWLpNUy/Hy67Ys8B+JkOZJILOE5wylWVbK7igmy3V1KDDzGGp0WcmngPqdz5wIOwa9ff5LVgaFE0VBJFy4ywoVra7uHij2V7Q4WW904vqNs5Quk1Tr8fLrtqwASn/+tE8CmSWsQ1BaZansjmKy3HLDRpLEPIYaWZbyKaB+9Ww2GsVgzxt9ocKJotC9d3Arc7lwl7la0cqSuH7jLKXLJNV6vIK6JyuAnK1RtLY0Y/HpUwfusnFltWSxDkFplaWyu21aK46fMKoo7PgJo0L1RnB1GBjzGGpkWcqngPrVs9loRJRRB+T9T++gcJe5WtHKkrh+4yylyyTVerzKDaXoUx24c+5tMMrSHTgiik+Wyu75HRuw6smdRWGrntyJ+R0bqv6MoPyXQ4GJkhM0r2NQuOuChqFxeBoR+Xp9n3+34qBwl7GiVX9x/cZZSpdJCnu8Cr2FCnMYBSm9u5a1O3BEFJ8sld03r9kaKtxP+5zJyOeKc+B8TjgUmChBuYBxW0HhBa72wubwNCIKpd9vZtsy4S6LYi4BKi+u3zhL6TJJ5Y5XaUVmfseGgd5CgP8cRl7eXgBZ6ilARPHKUtndp/6FVFB4oNLNWfYRJaqWc9vlXtj1Gp7G1dMoEVmapZ7qr5A2mGbqh79xugQdr7XP7sRNq7cMXId0dfcUPS8od53i7QUQxYpBRNSYslSuNIn/zY2mEHfvl67YhN6SD+ntVyxdscnp34R1dsqy1oB6TmuZek65XthJnxstI/PY5dNA1DJyaMPT2GhEsXN1yVFyW9u0VqaPOuNvnC6lx6ujsyt0A1Gp0l4A7XMmF+XXftt4988LCyLyykq5EtQ2FGbERxrnTkl7nZ3lElXSPmcy2m9fj96+/bWlSsNGXe6F/UqPf4+ioPBqcXgaxY5zZBARRW/pik1DHunwifcUX+C1TWvF4tOnorWlGYLBK6sVuNxVm4hoqPoCMtegcD+1zp2SpDTX2VkuUdVC3m1zeb62KPIqP2w0oti53DpLRJRWUeShyx7aOqhC3TatFavmzcbTS07Bqnmzfe/SpvnCgogoDpHNixSjNNfZWS5RNcoNGw2SpfnaqsVGI4qdy62zRERpFUUe2tunuOyujaHfl+YLCyIi8pfmOjvLJapGLemk2l7YWVJ1o5GI5ESkU0R+aZ9PEpE1IvKEiCwTkeE2fIR9vtm+PtHzGZfa8E0iMscTfpIN2ywi8zzhvvugdGvE1tksc3XJSaJGE1Ue6jeBYiVpvrAgIiJ/SdfZh1LHZLlE1WjO+zeHBIUXVNMLO0vC9DT6BwCPeZ5/G8CVqnoUgF0APm/DPw9gl6q+HcCVdjuIyDEAzgYwBcBJAP7dNkTlAPwAwMkAjgFwjt223D4oxbLWOtvIjSYcL07kjrZprThweK7yhnWQ9IUFERFFL8k6+1DrmCyXqBp7e/tDhTeqqlZPE5HDAZwC4AoAF4uIAJgN4FN2k+sBLARwNYDT7GMAuB3A9+32pwG4RVVfB/C0iGwG8D673WZVfcru6xYAp4nIY2X2QSm39tmdeH73a1AAz+9+DWuf3ZnKRqO0ryrhJ8xKEy4vOUnUiPojmBujpTn8sqxZWlqb6ourGRGlS1Ir4A21jslyiSg6VTUaAbgKwFcBHGyfHwqgW1X32efbABTOwFYAWwFAVfeJyG67fSuA1Z7P9L5na0n4jAr7oBq5UFmb37EBN67eMvC8T3Xg+aK2qbHGZaiy1mgSthEszvHiLqTdrONv7KZqjktHZxcWLt+IngjujH3s2MMwa8nK0OkgK0trU/1k8UYLUbVaW5rR5VM/auVwKV9R1DFZLhFFo+LwNBH5GIAXVfVhb7DPplrhtajC/eL4BRFZKyJrd+zY4bcJwVTW2m9bX9TNs/229bEPJbp5zdZQ4fUQVZrJ2iR7YVeaiGu8eNLD4Bohj0n6N86aqNJMNcelsE13T/i5iPzcuHoL00ECGiGf4WpG0WqENJMlEw/1rxsFhUctbemFcxIlL21phuqnmjmNZgE4VUSeAXALzJCxqwC0iEihp9LhALbbx9sAjAcA+/ooADu94SXvCQp/qcw+iqjqj1V1uqpOHzt2bBVfqTEtXL7Rd0nBhcvDr5QzFC4sORpVmslagRa2ESyu8eJJX2g0Qh6T9G+cNVGlmWqOi982UWI6iEcj5DNZu9GStEZIM1nywFM7Q4VHLW3phXMSJS9taYbqp2KjkapeqqqHq+pEmImsV6rquQDuA3CG3ex8AL+wj5fb57Cvr1RVteFn29XVJgE4CsCDAB4CcJRdKW243cdy+56gfVANgu5CR3V3uhFlrUAL2wgW1wSJvNCoP/7GbqrmuPgNd4grHkRhZO1GC1EYQfdGY7xnmipZWziHKM2qndPIz9cA3CIiiwB0ArjWhl8L4Kd2ouudMI1AUNWNInIrgEcB7ANwoar2AYCIfAnACgA8D9z5AAAgAElEQVQ5ANep6sYK+yByQtYm2WufMxntt69Hb9/+Gkw+J2UbweIYLz4uYB4AXmhEh7+xm4KOS5MIJs27G6NqmLS61ngQDVX7nMlFcxoB6b7RQunBOfvSiXMSEbkhVKORqt4P4H77+CnsX/3Mu81rAM4MeP8VMCuwlYbfA+Aen3DffVBtRo/MY9fewb2KRo+M56Ijq7JWoPX1adnnSeCFRv3V0mBI9eeX9oH9w3nj6CnKc42ikrUbLZQOnICdiGhohtLTiFJmwdwpvheFC+ZOSTBW5JKFyzeidO2lfhseVLGK4+4dLzRiUto+mHx7YcMrTftNIrHM/9acb8Jrvf081yhyWbvRQu7L2kq3jYg9xYiSxUajBsILb6ok7LxXtd69q6Xw54VGfS1dscl3onxWqpPnTfuT5t1d9/0dODyHjZefVPf9EBHFwZU5+5oE6Pdp82/yWy+6QVRTH2RPMaLksdGowbhw4d0aMEdHK+fMSJ1a7t6x8HdT0GTKcUyyTNULmuMoSnvfqN9KbEREcXNlzj6/BqNy4VlXbX2QPcUoK9LcY67i6mlEUcvaimNZEjS/VVB4LXfval3avaOzC7OWrMSkeXdj1pKV6OjsKrs9hZMT/1udQeFpkMU00z5nMup9RDjpNRFFxYV8mPVON1VbH3SlpxjRUBQaSbu6e6DY30haKU90IQ8FGqDRyJUf2hUu/B5t01px/IRRRWHHTxiVmpbWLFswdwryueJL0nLzXtWyfHIthX+tGS1VL2ienDjmz6mHLKaZwh2qeh4RXkgRUVQ6OrvQfvv6ony4/fb1sefDXLrdTdXWB2upaxK5ppab5i7VZTPdaOTSD+0CV36P+R0bsOrJnUVhq57cifkdG2KNBw3WNq0VS884tqhitfSMYwMrVu1zJiNfMhg/31R+xa2Rw3OhwoHaeydR9YKGh6Z12GjW0sz8jg24aNm6ug5Na2nO80KK6s6Fm1cUj8vu2li0+AoA9PYpLrtrY+xxaZvWilXzZuPpJadg1bzZzOcS1tHZhaaAnsyljUHsKUZZEOfojHrI9JxGHANbzJXf4+Y1WwPDF7VNjS0e5C/0vFelZX6FsTNB86WUm0eF8+3U38RD/ed8mHhoOhuNstSdvaOzCzet3lL3xewOHDGsIctGig/ntGssu/b6L6IRFE6NoZAP+PVk9msM4kI+lAW1zK3mUl02041GLv3QLnDlwjtrw2Aa2dIVm3zvIpZriAw6yuWOfi5gmfE0z7fjmtVP7QoV7jpXJj6NQr2HpBWwEZbqzZWbV0SUHL98ADB1uqDeri4s5EM0FO1zJhfdNAEq95hzqS6b6eFpHANbzJWJbl2JBw1dLQ2ztRx/NjTWX9Z+4yx1Z2/UGx2UPa7cvKJ4tDT7L6IRFE6NIahM61dlwxBlVi1zq7lUl810T6NaWvSyzJWLwplHjh40p1EhnJIXZjnI5nwT9vb2+4YH4fGnOGSpO3vQnSbXpHkpWYoHe402loWnTkH7bevR61lTPt8kWHiq/+Ia1BiCyrQmEUyadzfLDxoSl+siYXvMuVSXzXSjkUs/tAtaAzLpuCe63bj91VDhFJ+w80307BvcYFQuHMD/Z+/e4+yqyruB/55MBpgIMgSikkMuSDGUNMJAhNi0VqISEIERsIBYsa+VKloF6ejE5jXBgkRTL7W1Wi8oCoZAEscgaOQ1+PY1mkjCJMQIkXBLOAGMJANIBphMnvePtfbkzJm9z9n7zL6svc/v+/nkk5l1buvMfvbaa68rHnvG/+Y3KJ2oUUUYzt7TW8bel/el8lnVN+5RKl5cq4bCcKXzitLBejj58evUBw6UA2GuHy43DFB2ilgXcaUuW+hGI8CdP7QLnu9/OVJ6Uvr6/RdADEqn9ERdbyKonl+r/t/olDb2Tierva3V9xzkNILsVFd+kjaoiqndd6K9rRXvOOloLN9QDl3x4lo1FMZBLYKXB0eW5Qe1sCwnahbVjYljfOp4ta4fRWwYoHiwLpKcQq9pRMM995L/jUdQOjWfNNabaGStsUtPnxQpnaL700v+o1mC0il5QYuFJq2vfwA3r90eaZtXbjxBYfg1GNVKp3zr6S2ja9kmlPv6oTB1ia5lm9DTW846a5Sxzo4S1nTPwaOLzsH+gJ7Gcl8/ju2+E7MXrR4WM1lsQ97TW8bsRat980PuYF0kOWw0IqJUdc2dhtaqXuXWFqm51tjMKePRMmb4a1rGCGZOGZ9IHpvRvv3+lbagdEqei5WcoDxx4wkiqnbtHVt8d1i99o4tGeWIXOA1wEztvhPHzbur5u6gXmPjvBWbhxpq0m4Y8EY2VTZ+VuaH3MG6SHLYaERE6auuIdRpl1i8aisGqxovBvdror1KRFlzsZITlCeXdvggIjfs2eu/7EBQOhVfZQMMEH49s8qRRGk3DGQxsokac8YJEyKlU3hsNCKiVC1etXXYTioAMFCnAYjDTanZ9PSW8ULGUwOrV5mp1QjUyFay1HxmH+c/OjQonYiyF+fUrNFMu/bqfKPtpIj6fVgHzY97HtwVKZ3CK/xC2Fxd3z0i/gslc03j2ooSy41cfIO2Z3VxJAbRaKW9AHaQvzxuPB57pj90mcONJ6ied82cjDUP7/ZNJ0pSUepQaYt70el6DS2C2nU+7zj2DwwObZJSinA8G/k+WddBixS7SX+XNNZmbVaFHmnEOahuamTHrWZXpFg+pNW/2AlKBxpbB4kor7JaALvaY8/0Dy1UuqZ7Tm4rqeSOT624P1I6URyKVIdKW9xTs+o1tHgNCX4jic44YcKIqW3eCKPq61PQaKJGvk+W06+LFLtpfJegXZW52/LoFbrRiHNQqSiKFMsv7dsfKd0zWLWYZvXvREXhypB3V/JBxbF3wL+cD0onikOR6lBpG83ULL+GG78GGE9lA1D1dOcLTy1hybodoY5jrcaJRr5PltOvixS7aXyXoDWywq6dRcEKPT2NQ9SoKIoUy0GbcdXapGvhyi2ovqXYb9M5+oGKJmgofBb5ICLKO65J07gxdgpYtXrXh6BpYDdcMAM3XDADi1dtRbmvP9QUsxde2oel9+4IvPGvvF729JZxzW2bRjzXa5xodKpZVtOvixS7aXyXUsDxLTlSn2lkep4r0xML3WhEVBQtARftZhlu2dfvv9NKUDpRnnXNnZb5mkbc+YyIiqJ9XKvvjm3t41ozyE2++NU9w1wfao0q8Zvu7N0YX710I9rHteLZvQNDnYX16npeXdhrqApqXNrZ148vXXzyiOury9e7rNdTilOj3yVKo8kZJ0zAzWu3+6ZnrZH1tOJeU2w06k5PE5FJInKPiDwgIltE5GM2fbyI3C0iD9n/j7DpIiJfEZFtInK/iJxS8V6X2+c/JCKXV6SfKiKb7Wu+ImLO/qDPIGo2HG5J1Dy8ofBp8yre3PmMiIqEa2mOXotIpKlZUUaVVE8n21PRYBSGVxeutx7gxPa23O30meV6SnFr5Lv09JbRtWzTsKmGXcs2Ba6D5PLuaY1Mz3NpemKYkUb7AFyjqveJyGEANojI3QDeB+DnqrpIRLoBdAP4JICzARxv/50O4GsATheR8QAWAJgJQO37rFTVPfY5VwBYC+AuAGcB+Il9T7/PIMq1+T2bsWSdGWrbIoJLT5+E6zqDbxJdH26ZtCMCegmPYC8h5UyYHjPvOWmKsvsMEbktah2j6J4NGKkSlE4jDaoiytj2MKNKvGvdaKdjj2sdg9mLVtd8n8rGiTzt9Onl04XpSaPV2VHC+sd3DyubLjy19rG49o4tGKhaw3RgUHHtHf7LU6Q5nS/qtLFG8ubS9MS6I41U9UlVvc/+/DyABwCUAJwP4Cb7tJsAdNqfzwfwPTXWAmgXkaMBzAVwt6rutg1FdwM4yz72SlX9taoqgO9VvZffZ1ADgm6w077xPnisf9gFpRfN/J7NuHnt9qGekUFV3Lx2O+b3bA58TZF6GhqJwwXnTvfdPW3BudNjzRtRksLsHFL5nDTleUcWoqwE7dCUpUbqGEV3eJt//SIonfxF2fGqVr21p7eMjs/8DFct3RjLtW7vwP6a7+M1TixetdWpczWszo5SIXYy7ektY/mG8rCyafmGcs1j4ddhXCs9aKpb3NP5GtkJrpG8pfV9woh0ly4iUwF0AFgH4NWq+iRgGpYAvMo+rQRgR8XLnrBptdKf8ElHjc+gBpx49GGR0pPS6O5ZRbFk3Y5I6YC5YFx4amlo+kiY1nlXnfP6oyOlA+b7X/yGScO+/8VvmJTL70/Nq94wY28Bz6zWMhrNkGcXb56JkuTqVtiN1DFcN9ryJWj5xyZZFjJ2ta4V3rG6eulGHNI6Bu1trcOmgQHAvBWbA2/649bW2oJLT5+E5RvKzp2rzSaNqVZTj/RvTAlKb1Qj36WRAQAuDRoI3WgkIocCWA7gKlV9rtZTfdK0gfTQROQKEVkvIut37cp+zqKrfvXw7kjpRZZlzDSyPlEjrfOuWrJu5AJ1tdIB8/2X/mbHsO+/9Dc7Uvv+LGMoKr+YqTXM2Ju3n/U6ZY0MeXb15jlvWM7kiwtrTfjFTNHWQIyjfOkLaKAISi+qOMuYcl8/5vdsHtaYN79n84i1iV7atx+XzZoMALh66cZUO0ba21pxwwUzcM+DuzI/V/MqzphpZKpVe8BowKD0tO51G/kujayn5dIaXKEajUSkFabB6BZVXWGTn7ZTy2D//4NNfwLApIqXHwNgZ530Y3zSa33GMKr6DVWdqaozJ0zIfnV0VwVVF/JZjRidLGMmaMezWjuhuVA5jctgQMAFpQPAwpVbMLC/ak7zfsXClVtizFkwF8oYjuTIF7+YqTXM2G/efhYaGfJcpPIpSy6UMxSeC2tN+MVM0UbVxFG+cHqa0UgZU2vtzJvXbh/WmHfL2u2+x+qWiuel2XjpzWBw4VzNqzivS41MtVp43nS0jqlanmKMYOF5/stTpHWv2+i0sUamGroyPTHM7mkC4NsAHlDVL1Y8tBKAtwPa5QB+VJH+XruL2iwAz9qpZasAnCkiR9hd0M4EsMo+9ryIzLKf9d6q9/L7DKLcuvT0SZHSAQTO1U573ZOsBG23Wm8b1qLo6S2j6/aq3SNuD949gtwUtOXrGSdMSG2ofi2NDnlmhZyakUtrTVRqC1gfMig9iCsdFXHUfwYG/Zc/CEqnA7rmThtx0x7Etc5pr3HR1XO12TQy1aqzo4TF7zpp2Eibxe86KfPlKVyaNpaWMLunzQbwdwA2i8hGm/YpAIsA3CYi7wewHcC77GN3AXg7gG0A9gL4ewBQ1d0i8q8A7rXP+4yqemPFPgTguwDaYHZN+4lND/oMotyaOWU8bl47cirWzCnjM8gN5UGtkVZZXzhdFnVni6S5vBUsgIaHPIfZJScvXIsZclfX3GmYt2LzsJEVLtw09A/4N4QEpfvxpoR5382bEgYgl+fDCy/7T4cKSqfh9u3PfhRso8p9/XjPrMlYvqHs3LnabBrZPc17nWvlTqO72uW5jlG30UhVfwn/dYcA4C0+z1cAHw54rxsB3OiTvh7AX/ikP+P3GUR5FjSlig0AFKTZR1o1wsWbHtdH5DT6d3H15jkqF2OG3OXqVtiHt7X6XhuiTMWqNSUs6+9H6Zq3YnPul7FYvqGMC08t4Z4Hdzl1ruZd1AaQoPVZZ04Zn8tjEbUxK+91jDAjjaggBP5DRHM6zT232ABAlDwXb3pqjcjJeqrpEeMaX9vD1ZvnqFyMGXKbiz3gcUzFcqmBe4wAfgNdQs6YolGKsmi1AGhrHYO9EUa1paF/YBD3PLgLa7rnjHgszyM/stRIA0ij19iiHKO81zHYaNREXJtrTESUFJduejxTj/RvHApKT4t383Vs950NV8hcvHmOysWYIYoqjqlYLk05bQloNGpho5FzFHCuwcjjV47nfeRHlhppAGlkfbIiHaO81zGirYpHRESUAy4ufBm05euamLeCjUIAtIwR7Nk70PB21kXhYswQZcFv8ePWMZLJlNOgNghH2ybIUSIYsag7d/5sXCMNIEHtvLXaf4t0jPK+iyMbjYiIqHBc3NnCxVGdCmBgcHjO8lohGy0XY4bc5soOY4movpPjyB7Ksf2KEbvP5n3kR5Ya6WRpZMaLy8coavkvAWVoULpr2GhERESF09lRwoWnltBir8Zhd+kgw4UKWdo6O0q44YIZw7b2bXRHOSo+b9pEua+/cKP0Fq/aOqIxeWBQM2lMDlpvbTTrsFFz83af5ejSxqU1GtHVY9TTW0bXsk3Dyv+uZZtqlv99ewPWtA1Idw0bjYhS1hLQpByUTkTRBe3SUYQbujgFlTpZV8iy0tlRwpruOXh00TlY0z2HDUYUqEjTJqq51Lu/4NzpaK1awKi1RbDg3Omp54WKo69/gKNLRyviaMSgxetrLWrv6jG69o4tvg3r197hv0M2kF4D2LhW/+adoPSw2GhElLLXThgXKZ2IoivyDV2cLps12ckKGZHrXGpYiVt1I0299CR1dpSw+KKTho0AXHzRSWzQpVHj6NLGNTIa0W9B+1rpgLvHaE/A6KCgdCC9BrALTj0mUnpY3D2tiQj8541yfEu6Htm1N1I6EUVX5Bu6OF3XOQMzp4wvxHa2RGlyaYexuL086H8XF5SetCLszkhu8aY3MrYa00gdqxRQZpYKUGaG4cVZ0vWtex7cFSk9LDYaNZFGFiCj+HnTZcKmE1F0Rb6hiwsrzUSN65o7bdhW0ABH6VFtLSK+dT0uT5CMttYWXHhqCUvv3TFsVAynN45eI3WsRspMb+047zXe2nEAcllvSaO+lVSnKaenNZGgltxmaeFNyvyezThu3l2Y2n0njpt3F+b3bM46S4XTHrAdZVA6kavz4F3BSjPR6Lg6baKIRrtLnSuLaXN5gvR45+N1nTM4vTEBZ5wwIVI60NgGJa4uNeBKmeInqbWTONKoiZxxwgTcvHa7bzo1Zn7P5mF/00HVod+v65yRVbYKZ+F509F1+yYMVEx8bh0jWHhe9je9Pb1lTu1xUFrDgPPEm6Jc4t+CKBYcpZe8OEYanPP6o33rv+e8/uj4MhoClydIx3tmTcZ1nTOGGhu9OsCXLj6Z52tMGpkC1dNbxg/Wbsd++/ugKn6wdjtmThkfeFxcXWpgwbnT0bVsk5Mj2JIaBctGoyby401PBqan2cBRpLWVblk3shLipbPRKD6uNgAUbdhs0fCG7gA2FBFRHtUaaRC2PEtqjY+ouDxBOu55cBfrZwlrpDFn3or7hxqMPPttetAxcXWpAVfvS4Dk8sZGoybS1++/ontQelKKtLZS0HWe1//4udgAEEdllihpAmBN95yss0GEVxzUghdeHvRNJ/ITx0gDV0YrcE2jdOzs62f9LGGNNOb0D1Q3GdVOB9xeO87F+xJPEnnjmkaUOpfXVhrtvHlqLq5URIlqybpHjshz/TtnoGXM8BvkljGC69/JkbkucWm9jjjW50hqjY+oLj19UqR0Gi5s49rE9jbWzxKW1rqRjayDRMlgo1ETCerJS7uHz9UFar2hrOW+figODGVlw1G83jNrcqR0l7lSESUK4kLZSuTp7CjhC+8avijtF97FRWlds+Dc6WhtGX6DntV6HXHUGRtZtDcJ13XOwHtmTR52A+ytv5M3pfY2jGtN7zayrbUFl54+aUQs+D2va+401s8S1shGAGMC2vyC0gFzb7Z8Q3lohN6gKpZvKPPeLAOcntZEWlvGABg5LNykp8fVeaAcyhrde2ZN9l1cslYDkFc5WrJuBwZV0SKCS0+flMtKk8vDZqM6eOwYvLRv5BDhg8eybyEuIulOXW0R4W5O5ByXh/ST4VI9LY68xLGmUYsAgz7ld0vEmWXXdc7IZX3H09baMnRd6ektj1gMOEjrGBm2mUk9R4xrxbiDxo445jOnjMdVSzcGvq7ymleU+pmropbl7z7d/57h3acH3zNEvTfjFNDksNGoiTwbsHZRUHqSXKw0NjKUtRQwp9eFqXZpaLQBKO+VJo9LFevR+tyFr8fHb9uIyjrdGDHpFI+01zrbr5rLWCSi7LlUTxttXuKYqhTU3hGhHSSXvnzxyYF1HO//a+/Ygj17a99LHHrIWLw4MDi0fs0R41qHRq5VN+4IzM52fvXEzo4SFq/aGlj3rs5bEepnRdHIPUPUc5eLzSeHjUZN5PC2Vt9Frw9vS3+OuosaWdStSCNNGlWUBqBGuVSxHg1WsJJ3xLjWuhXrRgTtSMlh+ERE8ezA5OouTkmrV8fxHu/pLdccAbRn7wDaWlvwZZ9t79c/vhu3rN0+dB1TAMs3lAO3Yg9b9y5K/axIot4zRD3vmr0zP0mFnnfgyho+rggamccRe0Yj8+YbmdPbiEaOXdBU81pT0IOGb3JYZ3Po7ChhTfccPLroHKzpnsPKVsyS6Ohqb2vFZbMmO7lOHBGRC+JYF8nV9Thd0dlRqrs2pTetqNo9D+4a0fER9Fzvs9Koe1P2op53PE+TU+iRRte/cwauuX0TBivGjjbzLh19AT3cQenNptGRFmn0ZATdbNa6CfVZnqZmOsBhnURJinsqcGWP7cwp4zlKjIjIRxwjaTkat77q6Ud+/KYVNTJ9kKOImkPU847naXIK3WjEwBmuWYfWRpHGRaiRRdoaGW7ZyPHmsE43cWG/Ygg6J9vbWvGKg8f6Phakcu0GgBVoInKPS9euOMpIlrP1edOPZi9aHboOyvsTqiXqecfzNBnOT08TkbNEZKuIbBOR7qivd2G6xfGvekWk9KRwyJ4bLj19UqR0oLFjl9ZrKHmNxIyrZh83PlJ6kQSdXwvPm4413XPw5YtPrrudsPcanpPN49WHHRQpnZqbS2Vska5dRZZEzESpT7LuSVniNTYcpxuNRKQFwFcBnA3gRACXisiJ2eYqurs//uYRDUTHv+oVuPvjb041H5wD7IbrOmfgPbMmD/W0tYjgPbMm11wYrpFjl9ZrKHmNxIyrbvnAG0dURGcfNx63fOCNGeUoPfXOr+rHx7WOGbFuGc/J5rPuX942ovL66sMOwrp/eVtGOSKXuVTGFunaVWRJxEyU+iTrnpQlXmPDEXV4rRIReSOAhao61/4+DwBU9Yag18ycOVPXr1+fUg4pKSKyQVVnpvFZjJliSCtmGC/FwZihKHhdoqgYMxQVr0sUFWOGomg0XpweaQSgBGBHxe9P2DQiIiIiIiIiIkqQ641GfivljRgaJSJXiMh6EVm/a9euFLJFeceYoSgYLxQVY4aiYsxQVIwZioLxQlExZsjjeqPREwAqV8s7BsDO6iep6jdUdaaqzpwwYUJqmaP8YsxQFIwXiooxQ1ExZigqxgxFwXihqBgz5HG90eheAMeLyLEichCASwCszDhPRERERERERESF5/RC2AAgIm8H8GUALQBuVNXr6zx/F4DHfR46CsAf489hbrn+95iiqqk0adeImbi48LfOOg9pfH4qMdMkZUyRvgsQ/H2yjJk8/Y3zktek8+nCdSkvxyKMZvguWcdMnv7GzKvBukzjmjXvjJls5e37NxQvzjcaxUVE1qe1g0Ue8O+RHhf+1lnnIevPT0ORvmORvgvg5vdxMU9B8pLXvORzNIr0Hfldkudqvvwwr27I83dj3rOR57zHoVm+v+vT04iIiIiIiIiIKANsNCIiIiIiIiIiohGaqdHoG1lnwDH8e6THhb911nnI+vPTUKTvWKTvArj5fVzMU5C85DUv+RyNIn1HfpfkuZovP8yrG/L83Zj3bOQ573Foiu/fNGsaERERERERERFReM000oiIiIiIiIiIiEJioxEREREREREREY1Q+EYjETlLRLaKyDYR6c46P1kSkUkico+IPCAiW0TkY1nnqSjC/G1F5M0i8qyIbLT/Pp1APh4Tkc32/df7PC4i8hV7PtwvIqfE+NnTKr7bRhF5TkSuqnpO4n+DLBSlnCliGSEiLSLSKyI/zjovnqzjJeg4i8hCESlXnJ9vr3jNPJvfrSIyN83v4leuich4EblbRB6y/x9h0wPLOBG53D7/IRG5PIm8JinruImLiNwoIn8Qkd9mnZfRcKm8rBcbInKwiCy1j68Tkanp59KdulJYWdap0uZ6+RLndSsLcV3HXOJ6zKShXhlRKKpa2H8AWgA8DOC1AA4CsAnAiVnnK8O/x9EATrE/Hwbg983890j7bwvgzQB+nHA+HgNwVI3H3w7gJwAEwCwA6xLKRwuApwBMSftvkMGxL0w5U8QyAsDHAfzAlbhzIV6CjjOAhQD+2ef5J9p8HgzgWJv/lrS+i1+5BuDzALrtz90APmd/9i3jAIwH8Ij9/wj78xFZx0Oe4ibG7/ImAKcA+G3WeRnl93CivAwTGwCuBPB1+/MlAJa6+jdzqZ7gV/ZUPZ5KncqFGMr6X1zXLZdiKep1zKV/eYiZrI5rUf8VfaTRaQC2qeojqvoygFsBnJ9xnjKjqk+q6n325+cBPACglG2uiiFHf9vzAXxPjbUA2kXk6AQ+5y0AHlbVxxN4b9cUppzJURyHIiLHADgHwLeyzkuFzOOlgeN8PoBbVfUlVX0UwDaY75HldzkfwE3255sAdFak+5VxcwHcraq7VXUPgLsBnJVSXuOQedzERVX/B8DurPMxWg6Vl2Fio/J8WQbgLSIiKeYRgFN/s7ikVadKmvPlS4zXLZdEvY65xPmYoXgVvdGoBGBHxe9PIN8Xp9jYockdANZlm5PiqfO3faOIbBKRn4jI9AQ+XgH8TEQ2iMgVPo+ndU5cAmBJwGNJ/w3SVshypiBlxJcBfALA/qwzUsGpePE5zh+xw+Fv9IbKIzjPaX0Xv3Lt1ar6JGBuJgC8ypG8JiXv+S+0jMvLMLEx9BxV3QfgWQBHppK7ABnXlcJypU6VtFx9j1Fet7ISx3XMJXnIYxrqlRGFUfRGI79eFE09F44RkUMBLAdwlao+l3V+iqTO3/Y+mOlaJwH4DwA9CWRhtqqeAuBsAB8WkTdVZyWpyUgAACAASURBVNHnNbGeEyJyEIDzANzu83Aaf4O0Fa6cKUIZISLvAPAHVd2QdV6qOBMvPsf5awCOA3AygCcBfMF7qs/LtUZ63OqVa5WyzmtS8p7/wnKgvAwTG07FjwN1pbAyr1OlJDffI4brVlbiuI65JA95TEOU45prRW80egLApIrfjwGwM6O8OEFEWmEK21tUdUXW+SmSen9bVX1OVf9kf74LQKuIHBVnHlR1p/3/DwB+iJFDcdM4J84GcJ+qPu2Tv8T/BhkoVDlToDJiNoDzROQxmGHTc0Tk5myzBMCRePE7zqr6tKoOqup+AN/EgfIjKM+pfJeAcu1pb7i+/f8PLuQ1QXnPfyE5Ul6GiY2h54jIWACHI6Mpgi7UlcJypE6Vhlx8j5iuW5mI6TrmkjzkMXEhyojCKHqj0b0AjheRY+3oh0sArMw4T5mx89e/DeABVf1i1vkpkjB/WxF5jbeGgIicBnP+PRNjHl4hIod5PwM4E0D17jQrAbzX7swwC8Cz3tDYGF2KgKlpSf8NMlKYcqZIZYSqzlPVY1R1KswxWa2q78k4W4AD8RJ0nKvWTHgnDpQfKwFcImYHpmMBHA/gN0jhu9Qo11YC8HZAuxzAjyry6lfGrQJwpogcYacvnGnT8iLzuKHhHCovw8RG5flyEUx5mPqoABfqSmE5VKdKg/PlS4zXrdTFeB1zifMxk7SQZURhjM06A0lS1X0i8hGYimELgBtVdUvG2crSbAB/B2CziGy0aZ+yPTk0Or5/WwCTAUBVvw5TUfuQiOwD0A/gkpgrba8G8ENb1xoL4Aeq+lMR+WBFHu6C2ZVhG4C9AP4+xs+HiIwD8DYA/1iRVvn5Sf8NUlewcoZlRMIciZeg8upSETkZZoj5Y7DnsapuEZHbAPwOwD4AH1bVQQBI4bsElWv3ArhNRN4PYDuAd9nn+5ZxqrpbRP4VpqILAJ9R1dwsxuxI3MRCRJbA7JB1lIg8AWCBqn4721w1xInyMig2ROQzANar6kqYm+3vi8g2mBFGl6SZxwou1JXCyrxOlZaclC+xXbcyEMt1zCU5iZmk+R7XbLOUHMn5/RoRERERERERESWg6NPTckdEPiUi37I/TxURFTP/HGJ2kbi8xmu/LiL/O628UnMQkZ+JyGX2538QkV9knCVKmIi8T0R+OYrX1yyrqDmIyF+LyNas80HpEpGFYtcPq67HJPBZb7ajlYgSYeP3z7LOB7lJRB4TkbdmnY9m4OrfWkS+KyLX2Z9r1ntEZLKI/ElEWtLLYTzYaJQgvwtNVWVqRGVHVT+rqv/g936qeraq3mRfO+KmTlU/qKr/Gu+3oCSIyC0icmNV2t+IyDNV87Pj+KybReRlW0g9JyLrReSvwr5eVc9U1Vt83nesjfGpceaXhi6M/faYef8mZp0vP5VlmqeyrCK3+FW6RttIWPE+w655qvr/VHXaaN+XshN3WSQivxCRF+37PCsi/yMiMyK8njfwGRCRS0RknYi8ICJ/sD9fKXZehgtE5AMi8oCIHFyRdqTN71kBr3mziOyviO2yiFxb4zOGbg4pGlsXfdLWQ38vIv9Q8dinRORRewyeEJGlMXxeZVnzRxFZEXf9mhojIn8lIr+y14DdIrJGRN4Q82ccZOunD9ly6zERuTHpe5bqek91nUtVt6vqoRlOlWwYG42IsvFRAG8XkbcBgIgcArPrwzVxLnZX0ZL9WVU9FEA7gG8BWOFSZY98nWsvLN6/ptuVgoicEHdZ9BF7PToSwC8AfH/UOaTEiMg1AP4dwGIAr4FZx+ODMGvMHBTxvRJbS1VVvwmzo9OnK5K/DOAuv3VGKvKy04ttAH8F4P0i0plUPpvYDQCmquorAZwH4DoROVXMqOS/A/BWewxmAvh5TJ/plTWvg6n/finqGyQZs81IRF4J4McA/gPAeAAlANcCeCnmj1oGE2fvhtkt8iQAGwC8JebPaRpsNMqImFXWfwJgYmXvnV+vfcVrfiFmetCfA/g6gDfa1/XZx4f1gIjIO0Rko4j02Rbd11c89knbo/K8iGwVEZ5EKVLVZwD8E4Bv2FhYAOBhVf2uiIyxvS4P296RW8Xs9gP72DIRecoe11/YeIB9/GYR+aqI/FREXgDw11Wfux/ADwBMsP8gIteJyHcr3uPPREQrfv+liLzP52v8j/1/i43DC0f/l6FaROQ8EdkScOyH9cDL8OGyb7a9d9fYXtcnReTvK557pIistD2AvwFwXNXn/ruI7LCPbxCRv7bpZ8EsRHmxjYFNNv0XXi+ijdn5IvK4/ezvicjh9jFv6srlIrLdxvu/JPYHpLrsdWi5iOwS0/P70YrHThORX9v4e1JE/lPMrikQEa882GRj4WKpGk1re9z+WUTuF9PDuNQ2mHuPf8K+7057reOoEgdVH1ebFnnagKruA3ArgBMr3idSjFW8zrdso9GxZfVnAFypqstU9Xk1elX1MlV9SUTOEZFee33YISILK17vlfHvF5HtAFbb9NttPcYbbTa94jVHisgd9v3utXWUX1Y8foKI3C1mhMJWEfnbiix/AMCVInKyiJwJc4N4tX2ddx38pIg8BeA71d9XVR8F8CtUxGTF514B4DIAn7Dxd8co/rRNR1W3qKrXMKD233EA3gBglao+bJ/3lKp+w3udmJGwj4i5X3lUDiyX8D4x9dN/E5E99rGzAz57N4DlAP7CvvZwWxfZZesm80VkTMX7rhGRL4nIbgALbbo3ku15EfmdiJxS8REnB13XaITXAYCqLlHVQVXtV9Wfqer9InKciKwWM+vij2JmZbT7vYmYumW3mHulZ0TkNhEZbx97K8ymPOer6r2quk9Vn1XVr3qbLti6zkpbjmwTkQ9UvPdC+37fs8d7i4jMrHi8Q0Tus48tBVBZjxm6PorI92EW+b/DlhmfkJFLzzScj7Sx0SgjqvoCgLNR0cMRtvdOVR+A6eX5tX3diBPKFmY3wuwicCSA/wawUszWk9MAfATAG1T1MABzYXYcoBSp6u0wrd5LAFyBAzuOfRzAOQDeBOAYAC8A+ErFS38Ms3Xoa2C2dqzupX03TKv9YQB+XfmAmJFH7wXwMIA/jvIrvMn+P93G4fJRvh/VICKvg4mVq2Aa/O6CuRCF7el9DUxvSwnA+wF8VWxjJICvAngRwNEA/pf9V+leACfD9Ar9AMDtInKI7b39LIClNgZO8vnc99l/ZwB4LYBDAfxn1XP+CsA0mAr+p6WiMYzSYyvNdwDYBBMnbwFwlYjMtU8ZhLkBOwrAG+3jVwKAqnrlwUk2FoKmF/wtgLMAHAvg9TCx4TVAfhzAWwH8GYC/ifO7kXts2XUZgLUVyY3EWK2yjUbnjQAOxoGtwP28AFOvaIepu3xIRo7U+RsAfw5T3wRMp+nxAF4F4D4AlVPgv2rf8zUw25APrY8nppPtbpjr0KsAXArgv7xGJ1V9DGak0Y0w9d4rVXVPxXu/BuY6NgWm3jWMiBwPM4JqbfVjtiHjFgCft/F3bo2/CfkQkf8Skb0AHgTwJEw9Zi3M9vJdIjJTKtZ6scf7KwDOtvcrfwlgY8Vbng5gK0x58XkA3xYZOYpeRI4CcCGAXpv0HzBlxmthYvO9GL5D2ekAHoGJsetF5F0wjUfvBeCNlHqm4vm+1zXy9XsAgyJyk4icXVVWC8yItIkw5cUk2EY7Hx8F0Alz/CYC2ANTdgCmHvEbVd1RIx9LYEYmToTZsfGzMnwAxXkwnRrtAFbC1lvtdasH5t5rPIDbYWJrBFX9O5hd8bzRup+PKx9ZYKNRcX0AwH+r6jrbknsTzNC/WTCVsoMBnCgirar6mNfCT6n7MIA5MNs/b7dp/wizbW9ZVV+EKTD/VkTGqOp+Vf2u7e3zHjvVXlg9P1TVX9vner063WJGpL0A4N8AzLejjshdPWJ62/tEpAfAxQDuVNW7VXUA5ji2wVSiwhiAibMBNVtC/wnANFtBuxDAp1X1BVX9LYBh6xGp6s2q+oztrfkCTPkRdq2aywB8UVUfUdU/AZgH4BIZPuT7WtvbtAmmwcKv8YniUxlbfQD+y6a/AcAEVf2Mqr6sqo/ATJu9BABUdYOqrrVx8BjMTVnUxp2vqOpO2/N7B0xjJGAq3d+xvdF7YRq+yQ3VZdFofcXG3Z9gOrCGjnWDMeZbtsWQTzI343+0o8IAAGJGrveJWevqTar6C1XdbOsc98PcBFUfs4X2+tIPAKp6o63HvARTjznJjv7wrkcLVHWvqv4Ow69H7wDwmKp+x8bIfTAjSC6qeM5/wsTERlWtjtf99r1f8vICM+K/T0Seg7mhXQdg1Gu80UiqeiVMh+ZfA1gB4CVVvRlm5P1cAP8XwB9EpLviZfsB/IWItKnqkzp8W/fHVfWbataHuQmm4+vVFY97Zc0mmEaqj9sYuxjAPBuDjwH4AswUOc9OVf0PG2P9AP4BprHwXjW2qerjlZ8TcF2jKqr6HExHocLUL3bZkTavtn/Xu+35uQvAFxFc/v8jgH9R1ScqypGLbN3ySJjj7UtEJtk8fFJVX1TVjTBLd1TGwC9V9S4bW9/HgXrpLACtAL5srznLYDpWIxtlPlLHRqNkDcIEVqVWmItZ0qYAuKbqxmASgImqug1mtMJCmML5VnF0kd2iU9WnYUb8VF4EvaGM3nHbDFO4vkpEWkTk82KG6j4HYJt9zVEVr/drWV+kZkRaG4DTAHxJ7HpK5KxOVW23/zpheiGGKim20W8HTO96GM9UVvwB7IUZ9TMBwFgMj5vKypA39eMBMUOv+2B66CpjrpZh+bY/j8Xwit1TPvmi5FTGVjvsSA6Y68bEquvGp2CPlYi8TkR+LGZayXMwo8zCxoEn6FhPxPAYrNVDSOmqLotG66M27g6BaQRYJnb6fIMxFlS20eg9A+CoykZ+Vf1Le/yeATBGRE4XkXvETPV5FmYkfPUxGzqfbT1mkZhpJc/hwEj3o+B/Par8eQqA06vKqMtgRhB5+VMAD2B4vcqzy3a4VdppY/uVML35/ajqOKH42I7sX8KMpP+QTbtFVd8K8/f/IIDPiMhcNbMyLrZpT4rInSJyQsXbPVXxvnvtj5Xn/kftsS2pmU65CybODsLIekllXar6+jMJZoR+ENZhIlDVB1T1fap6DMyUwYkAviwir7L3pGVbNtyM4PJ/CoAfVpQDD8Dcd78apmyqtej5RAC7VfX5irTqGKg+pofYcnAigLItZypf24jR5CN1bDRK1nYAU6vSjsWB4FI0rt5rdwC4vvLGQFXHqeoSAFDVH6jqX8GcdArgc6PIC8XrCQBvqzp2h6jqUzBDY98OMzrpcJhpHIAZ0ukJjA3bQ3I/zHDgc2zyCwDGVTztNSNeGPB2IZ9H8dgJc74CAOwQ7EkAyjZpLxo7jrsA7LPv5Zlc8Tl/DeCTMCNBjrA3C8/iQMzVi4Nh+bbvvQ/A0yHzR+nZAeDRqrLnMFV9u338azDTCo63N1ifwvCyZzSehLmJ8EwKeiJlbtg1w/bcT4j6JnZkyv+D6fw40yYnGWMU3a9hRqmfX+M5P4CZNjFJVQ+HWXOz+phVXifebd/vrTD1mKk2XXDgehRUFuwA8H+ryqhDVfVDIb9PzeuVqj5rv0/Q1DPWe+IzFlXrJ9qRG7cDuB92/SFVXaWqb4NpBHgQZnTKaPwRpvO+ul5Srvi9+jjvqM4rxUNVHwTwXZjjfQPM3/71tvx/D4LL/x0w0xar75XKAP4PgNNE5JiA1+4EMF5EDqtIq46BIE8CKFVNg5wc9GTULjNGk4/UsdEoWUsBzBeRY8Qs2PVWmAvRMvv40wCOFLsobERPAzimxnom3wTwQdsDJCLyCjGLFR4mItNEZI6YbUlfhOlVyd3WfwX2dZg5rZMBwLa8n2cfOwymAvcMTKX9+qhvLiInwkxp8nrhNgL4GxGZJGbBue7AF1ewQyWfgZkTTsm7DcA5IvIWEWkFcA1MLPzKPr4RwLttL+5ZCDltyB7HFQAWisg4Gx+XVzzlMJhK/C4AY0Xk0zBz+j1PA5gqdhFJH0sAXC0ix4rIoTiwBtK+gOdTdn4D4DkxC8W22Vj6CzmwFe5hAJ4D8Cfb21t9o/Y0Gi8PbgPw9yLy5yIyDsN3QCK3/B6mt/McWxbNh5myGpmIvBFm0WHvepRkjFFEqtoHM33wv0TkIhE51NZnTwbgTYs/DKa3/EUROQ2mUaiW6nrMZys+r/p6dAJMZ5nnxwBeJyJ/JyKt9t8bJKZ18Ow16hL4j1ICGH8NsfXYS2z8tIhZJ+9SAKvFLDzt3Z+MEbOY9XQA60Tk1WI2AHkFTMz8CaO8X7ExdhvMWkWHicgUmPX0fDchsr4F4J/F7PYmYjaMmVLj+RRAzEL213gNOmKmaF0K05l9GMwx7hOREoCuGm/1dZhjOMW+zwQROR8AVPX/wKx99kN7zMbaY/1BEflfatY6+hWAG0TkEDEjXd+P4WurBfk1TJ34o/Z9L4CZwREksMwYZT5Sx0ajZH0GJhh+CbNA1+cBXKZmzRCvdXUJgEfs8LooU8RWw1zUnhKREQsaq+p6mHWN/tN+9jYcWJjtYACLYFrbn4JZ6O1TUb8cJeaLAH4K4Oci8jxMDHk3bd+BaZneCXP8f+X7DiN9SuwufTALUH4TwLftYz8F8EOYaXC/gekxDGsBgB/Y+L0gwusoIlXdCtPr8h8w5+65MIvrvWyf8jGb5g3Xj7L2yEdghlM/BdPjU7mrzCqYmPk9zCjJFzF86Pbt9v9nROQ+n/e+EWYe9v8AeNS+/p8i5I1SYivT58Ksx/AoTJx9C2Y0AAD8M8wN4fMwZUj1YtcLAdxky4O/RQSq+hOYBU/vgbleeYv4x70NL42SHY1xJUxslGFGHj1R80XD/WfF9ej7MGvs/cQ+lliMUWPULN76cQCfAPAHmJug/4YZgformFj4jK2vfBrmhryW78FcS8oAfoeRi05/BKbMeQomPpbAlgN2GseZMA07O+1zPocGGy2tiRXx+DjM4raXBTz32zDrgca1vlezUJgG4Cdg7kn+DcBVqvojmEbiT8HMzuiDuVf6kJ3CNgamg2wngN0wnWFXjnj36P4Jptx6BOYe7QcwdRX/zJvRT9fb5z0PU78aH0M+mtHzMAuNrxOzy/NamE19roFpoD4FZjT7nTANyEH+HeZ+5We27Flr39dzEcxC60vt+/0WwEyYUUiAaaiaChNbP4RZ6+zuepm3de4LYO6p98BMn6yVzxtgBpD0icg/+zzeUD6yIMOn5BERERFly44c+C2Agzkqjah5icjnALxGVS+v+2QiIkoERxoRERFR5kTknSJykJgteD8H4A42GBE1Fzt95fV2GtBpMNM1fph1voiImhkbjYiIiMgF/wizdtbDMOtWhF3cloiK4zCY6R4vwEx1+wKAH2WaIyKiJsfpaURERERERERENEKokUYicrWIbBGR34rIErvC97Eisk5EHhKRpWJ38RKRg+3v2+zjUyveZ55N32pXzvfSz7Jp20SkuyLd9zOIiIiIiIiIiChZdUca2S3vfgngRFXtF5HbYFYjfzuAFap6q4h8HcAmVf2aiFwJ4PWq+kERuQTAO1X1YjHbOC+B2ZZuIszq5a+zH/N7AG+DWVX/XgCXqurv7GeN+Ixa+T3qqKN06tSpjfwtyCEbNmz4o6pOSOOzGDPFkFbMMF6KgzFDUfC6RFExZigqXpcoKsYMRdFovIyN8Lw2ERkAMA7AkwDmwGyLCgA3wWyD+jUA59ufAWAZzNaqYtNvVdWXADwqIttgGpAAYJuqPgIAInIrgPNF5IEanxFo6tSpWL9+fcivRa4SkcfT+izGTDGkFTOMl+JgzFAUvC5RVIwZiorXJYqKMUNRNBovdaenqWoZwL8B2A7TWPQsgA0A+ip2NXkCQMn+XAKww752n33+kZXpVa8JSj+yxmcMIyJXiMh6EVm/a9euel+JiDFDkTBeKCrGDEXFmKGoGDMUBeOFomLMkKduo5Hd+vZ8AMfCTCt7BYCzfZ7qzXOTgMfiSh+ZqPoNVZ2pqjMnTEhlFDDlHGOGomC8UFSMGYqKMUNRMWYoCsYLRcWYIU+YhbDfCuBRVd2lqgMw22D+JYB2EfGmtx0DYKf9+QkAkwDAPn44gN2V6VWvCUr/Y43PICIiIiIiIiKiBIVpNNoOYJaIjLNrE70FwO8A3APgIvucywH8yP680v4O+/hqNattrwRwid1d7VgAxwP4DczC18fbndIOAnAJgJX2NUGfQURERERERERECaq7ELaqrhORZQDuA7APQC+AbwC4E8CtInKdTfu2fcm3AXzfLnS9G6YRCKq6xe6G9jv7Ph9W1UEAEJGPAFgFoAXAjaq6xb7XJwM+g3Kqp7eMxau2YmdfPya2t6Fr7jR0dvguVUVNgPFASWJ8UVSMGYqC8UL15CVG8pJPoqLJy7kXavc0VV0AYEFV8iM4sPtZ5XNfBPCugPe5HsD1Pul3AbjLJ933MyifenrL6Lp9Ewb2m6Wpyn396Lp9EwA4eXJQsnp6y5i3YjP6BwYBmHi4eulGrH98N67rnJFx7ijvWN5QVIwZioLxQp6gmz6/es68FZsBuBUjjGVyRV4aUOKSlzICCDc9jSgWC1duGbogeQb2Kxau3BLwCiqyxau2DhWSHgVwy9rt6OktZ5MpKgyWNxQVY4aiYLwQcOCmr9zXD8WBmz7v5re6ntM/MIjFq7Zmk9kAjGVyQa1zqajyUkYAbDSiFPX1D0RKp2Lb2dfvm66Ak4Ul5QvLG4qKMUNRMF4IqH3TF1TPCUrPCmOZXJCnBpS45KWMANhoREQZmdjeFviYi4UlERERUaVaN31B9Zxa9R+iZpWnBpS45KmMYKMRpeaIca2R0qnYuuZOgwQ85mJhSfnC8oaiYsxQFIwXAmrf9HXNnYa21pZh6W2tLeiaOy2NrIXGWCYX5KkBJS55KSMANhpRihacOx2tLcObCVpbBAvOnZ5RjihLnR0lXDZr8oiGI1cLS8oXljcUFWOGomC8EFD7pq+zo4QbLpiBUnsbBECpvQ03XDDDuQVuGcvkgjw1oMQlL2UEEHL3NKI4eCdAM62KT7Vd1zkDM6eMZ0xQ7FjeUFSMGYqC8UJA/Tjo7Cg5HxOMZXJBs8ZhHsoIgI1GlLK8nBiUHsYEJYWxRVExZigKxgsBxYiDInwHyj/Gobs4PY2IiIiIiIiIiEZgoxEREREREREREY3ARiMiIiIiIiIiIhqBjUZERERERERERDQCG42IiIiIiIiIiGgENhoREREREREREdEIbDQiIiIiIiIiIqIR2GhEREREREREREQjsNGIiIiIiIiIiIhGYKMRERERERERERGNMDbrDFBz6ektY/GqrdjZ14+J7W3omjsNnR2lrLNFGWE8UJIYXxQVY4aiYLxQkLzFRt7yS1QUeTn32GhEqenpLWPeis3oHxgEAJT7+jFvxWYAcPLkoGQxHihJjC+KijFDUTBeKEjeYiNv+SUqijyde5yeRqlZvGrr0Enh6R8YxOJVWzPKEWUpajz09JYxe9FqHNt9J2YvWo2e3nIa2aScYnlDUTFm8sOF6wHjhYIExca1d2zJPG79MJaJspHUuZfENZIjjSg15b7+SOlUbDsDjrtfep5a4skNLG8oKsZMPrhyPYhyDaPmEhQDe/YOYM/eAQBu1WNY9hFlI4nrSFLXyFAjjUSkXUSWiciDIvKAiLxRRMaLyN0i8pD9/wj7XBGRr4jINhG5X0ROqXify+3zHxKRyyvSTxWRzfY1XxERsem+n0H51GIOa+h0KraJ7W2h09kLRlGxvKGoGDP54Mr1IMo1jJpL2BhwpR7Dso8oG0lcR5K6RoadnvbvAH6qqicAOAnAAwC6AfxcVY8H8HP7OwCcDeB4++8KAF8DTAMQgAUATgdwGoAFFY1AX7PP9V53lk0P+gzKoUHVSOlUbF1zp6GttWVYWltrC7rmThvxXPboUlQsbygqxkw+uHI9iHINo+biFxtBXKjHsOwjykYS15GkrpF1G41E5JUA3gTg2wCgqi+rah+A8wHcZJ92E4BO+/P5AL6nxloA7SJyNIC5AO5W1d2qugfA3QDOso+9UlV/raoK4HtV7+X3GZRDpYBW06B0KrbOjhJuuGAGSu1tEJg4uOGCGb5DJ9vHtfq+B3t0KQjLG4qKMZMProzw6ewo4cJTS0OjMVpEcOGppcynGlH2/Oo37W3u1mNY9hFlI8q9UFhJXSPDrGn0WgC7AHxHRE4CsAHAxwC8WlWfBABVfVJEXmWfXwKwo+L1T9i0WulP+KSjxmcMIyJXwIxUwuTJk0N8JcrCGSdMwM1rt/ump40x44bOjvoV7J7eMv704r4R6a0tklqPLuMlf7Iubxgz+cOYyYeuudOGrdcAZDPCp6e3jOUbykOjMQZVsXxDGTOnjE+t4Ygx467q+s38ns2Z14GD4iXrso/cxTImeWHuhaJI6nwOMz1tLIBTAHxNVTsAvIDa08T8JsBqA+mhqeo3VHWmqs6cMIEFnKvueXBXpPQkMWbyY/GqrRjYP7JIeMVBY1OrmDNe8ifr8oYxkz+MmXxIome2ES6srcSYyY+syxcgOF5cyBu5iWVM/iR1PocZafQEgCdUdZ39fRlMo9HTInK0HQF0NIA/VDx/UsXrjwGw06a/uSr9Fzb9GJ/no8ZnUA65sg4B5UtQfDzbP5ByTihPWN5QVIyZ/Ii7Z7YRjBeKwuV4cTlvRBRNZmsaqepTAHaIiDfu9y0AfgdgJQBvB7TLAfzI/rwSwHvtLmqzADxrp5itAnCmiBxhF8A+E8Aq+9jzIjLL7pr23qr38vsMyiFX1iGg/OjpLWNMwO4djBuqheUNRcWYoSgYL82rp7eM2YtW49juOzF70Wr09JbrvsbleHE5b0QUTVLnc9jd0/4JwC0icj+AkwF8FsAiAG8TkYcAvM3+DgB3AXgEwDYA3wRwJQCo6m4A/wrgXvvvMzYNAD4E8dGoaQAAIABJREFU4Fv2NQ8D+IlND/oMyqGguZScM01+enrLmLdis+/uHWmuZ0T5xPKGomLM5EcjN+1xY7w0J69uUu7rhwIo9/Vj3orNdWPQb5ckgRvxwlgmyk7c17OkzudQjUaqutHOZ3y9qnaq6h5VfUZV36Kqx9v/d9vnqqp+WFWPU9UZqrq+4n1uVNU/s/++U5G+XlX/wr7mI3YXNQR9BuXTnfc/GSmdmpvfehFDuAss1cHyhqJizORDozftceM6MM2p0bWsvN32KsdOK4DlG8qZNHpWYtlHlI0krmdJXZvCjjQiGrU9e/3XoAlKp+bV01tGucbc24H9mupio5Q/LG8oKsZMPriwADXAdWCaVdDxLff11x0lcM+Du0b0eWURu9VY9hFlI4nrWWZrGhERpclrda+HFXMioubjSmNN+7jWSOlUDLXWBak3SsCV2CUiNwR1kNfqOK8n6zWNiEbNfznj4HRqTjWnpVXgAo1UC8sbiooxkw+uLNrrs9xezXQqBr+1iSrVGiXgSuxWY9lHlI2WgM1+gtLD8Cuj2lpbRr0WLBuNKDVB9SjWr6hSmB63OAo/KjaWNxQVYyYfkqoQR/Vsv//UnaB0KobOjhJuuGAGSjUaeoLqMa7EbjWWfUTZ8Nvsp1Z6GJVllAAotbfhhgtmoLOj1PB7AsDYUb2aKIJSe5vvcLtaF15qPhMD4qRFBPtVMbG9DV1zp4268KNiY3lDUTFm8sEr+xev2oqdff2ZXROCrlVZjxqh5HV2lNDZUcLsRasjxYArsVuNZR9RNpI697wyKk4caUSpcbWHhdwSFCdf+NuT8Oiic7Cme07mFSxyH8sbiooxkx+dHSWs6Z6T6TWB8UKNxIALsVuNsUyUjTydexxpRKnp7Chh/eO7sWTdDgyqokUEF54af0so5ZtfT9wZJ0zA4lVbcfXSjc70zJHbWN5QVIyZ/OjpLWc+WsPVUSOUnqgx4ELc+mHZR5SNpK4jSZQ1bDSi1PT0lrF8Q3lonuagKpZvKGPmlPG8MNEwlcMqvd3UvMWxvd1JvOcR+WF5Q1ExZvLBpWtCElMAKF/CxoBLcVuNZR9RduK+jiRV1nB6GqXGb1esWrtMEAGMG2oM44aiYszkg0vHqae3jNmLVuPY7jsxe9HqwK3WiVyK22ou542IoknqfOZII0qN30JftdKJAMYNNYZxQ1ExZvIhaGeqMDtvxsnlkSPkHpfLF5fzRkTRJHU+s9GIUtMi4ruFYItIBrmJn6tz1fOu6HHjh7E0es0YNzQ6jJl8cGXXslq9uSyvm0OUa7XL5YvLeSMqurjr/Emdz2w0otT4BXCt9Dxhj2N8qgvPIseNH8ZSPJotbmj0GDP5cMYJE3Dz2u2+6WlyZcQTZaPWtRoYuZmHy+WLy3kjKrKe3jK6bt+Egf3mXCv39aPr9k0AGq/zJ3U+c00johhwPng8vEpYua8fitpDKUsp9yqnhbEUj7ZW/8tbUDoR5cPyDU9ESk9K0MimtEc8UTaCrtULV24ZUY/xa+T0FLUuQ0T1LVy5ZajByDOwX7Fw5ZaG37O9rTVSelisPRPFgD2O8fCrhAXpmjst4dxkg7EUj5f27Y+UTkT50D/gfw4HpSela+40tLW2DEtra20p7LWJhgu6Jvf1D4SuxwjSHyFHRO7o6x+IlB5G0Cy00c42ZaMRUQzY4xgPNowwluKyP2AUblA6EVEUnR0l3HDBDJTa2yAwI0ZuuGAGpxE3iTiuyQpg6b07uOseEcWmb29AQ1RAelhsNCKKAXsc4xGlEnbtHY0P3XQZY4mIiMhtQdfqI8ZFmwIyMKiFrc8QUW1jAkb/BKWH0R5QBgWlh8WFsIli4PUscsercIJ2CuiaO23YwpK17Blli7mrGEtERO5LYgFTcl9l/aV9XCsOHjsGz/YPDF2rAYSux3iKWp8hotqSGBX/XMDUtqD0sNhoRBSTzo4SK4ohhNkdbPGqrTUXwS46xhIRkdtqLWDK8ruYqusve/YOoK21BV+6+OQRx9xrWOKMaCIKcsS4Vt9G46gjFisNBhQ6QelhcXoaEaWq3u5gnR0lrOmeg3ojM0e7CwAREUXT01vG7EWrcWz3nZi9aHVTr8WSxAKm5LZaO6ZV8uoxjy46J9T7juOunkRNSQMacoLSs8SRRkSUqqDFrst9/ejpLaOzoxTqRmThedPjzhoREQUIM0qUqMhq7Zg2tftOAMArDmpBa8uBKWthHDS2pf6TiKhwng3oZAhKzxKbtokoVbUqUfNWbMb8ns2Yt2Jz3SHdvEkhIkpPvVGiREUXphHohZcH0dc/AAVCT7N38QaRiJLXFjDKMCg9S6FzJCItItIrIj+2vx8rIutE5CERWSoiB9n0g+3v2+zjUyveY55N3yoicyvSz7Jp20SkuyLd9zOIKL/8dhzx9A8MYsm6HaEWkGzmaRFRcUoJEY1W0CiLoPSiC1pzYjRrUZDbktrFNMrOsURUHP379kdKz1KUZqyPAXig4vfPAfiSqh4PYA+A99v09wPYo6p/BuBL9nkQkRMBXAJgOoCzAPyXbYhqAfBVAGcDOBHApfa5tT6DiHKqs6OEGy6YEfj4YMiJvFct3Yj5PZvjylZheVNKynZBTm9KCRuOiCiKoBvbZr3hXXDudLS2DF99r7VFsOBcTp0uqs6OUiKNglOPbM5zyJNlxxY71ShLeVrTKFSjkYgcA+AcAN+yvwuAOQCW2afcBKDT/ny+/R328bfY558P4FZVfUlVHwWwDcBp9t82VX1EVV8GcCuA8+t8BhE5rN5FOK6pZTev3c4LfB2cUkKUfy7c2JxxwoRI6UXX2VHC4otOQqm9DQKg1N6GxRedxKnTORTl/Fpw7vTA0dKNWvPw7qbtBMuyY4udakThhR1p9GUAnwDgjZU6EkCfqu6zvz8BwLtKlgDsAAD7+LP2+UPpVa8JSq/1GcOIyBUisl5E1u/atSvkV6JmVsSYceGmwstHmhfhNBo/8hwvQWsqhF1rgRqT55ihbATFjCs3Nvc86B/HQemUPJYzo+d3fl1dYyRzZ0cJF55aQovU2+M1miXrdtR/0ii5GC9ZdmyxU60+F2OGslG30UhE3gHgD6q6oTLZ56la57G40kcmqn5DVWeq6swJE5qzx4uiKVrMJH1TEaVBKuxFOK4KVxrraeQ5XoL+yvFWd6lanmMmL1xpKI9LUMy4cmPDNY2Gc6Exr8jlTFrnt9/5pQBuCRjJ3NNbxtLf7Ag9lT6suN/Pj4vxkmW5wjKtPhdjhrIRZqTRbADnichjMFPH5sCMPGoXkbH2OccA2Gl/fgLAJACwjx8OYHdletVrgtL/WOMziKhCkjcVUSvGYS/Cl54+yfd5UTXrehphBVVDHZwuTRSaCzfsaXHlxoZrGg3nSmNeEaV5fgedRwr/kcwLV27BwP74r6Bxj1zKiyzLFZZpROHVbTRS1XmqeoyqToVZyHq1ql4G4B4AF9mnXQ7gR/bnlfZ32MdXq6ra9Evs7mrHAjgewG8A3AvgeLtT2kH2M1ba1wR9BhFVCJpqFMdNRdSKcdiL8HWdM/CeWZOHKkotIsN+Dyup3UyIyF3NdMPuyo0N1zQazpXGvCJK8/yudR75Hcu+/oHY8wDE15GWN3476ra1tqRSt8vysym/ijbKOawou6dV+ySAj4vINpj1h75t078N4Eib/nEA3QCgqlsA3AbgdwB+CuDDqjpo1yz6CIBVMLuz3WafW+sziMjq6S0HTjWK46YiasU4ykV45pTxeM3hh0AAvObwQzBzyvjIQ7S56ChR82mmG3ZXbmy4ptFwrjTmFVGa53fX3Gl161DzezbjuHl3YWr3nbF/vue6zuBdZYvM21G3ckH5Gy6YkUrdLsvPpnxqplHO1cbWf8oBqvoLAL+wPz8Cs/NZ9XNeBPCugNdfD+B6n/S7ANzlk+77GUR0wOJVW32nGgniGYUzsb3NdyTT4W2tmL1oNXb29WNiexu65k5DZ0dp6GK7eNXWEY9V8gperzex3NePq5ZujJS3EivndbW3tfr2jLa3xb9tMFFagsqlIt6why1Tk9ZMDXVhdM2dhq5lmzAweOAK3NoiHKUQg6j1jtHo7Chh/eO7ccva7cPqUq0tghde2pdoQxEZlXXHZvpsyp9aoyCLHkeRGo2IyD215uPHUYB1zZ02rHEHAFrHCF54ed9QY4TX0g4cuADX++yFK7eMKHgbyRvV9o6TjsbNa7f7phPllV+5VORpBS7c2DRTQ11YlQ1Gfr9TYxqpd4zGdZ0zMHPKeCxetRXlvn6ImGOZ1FS0akeMYycOUR40c+fJaKanEZEDgirsjY7CqZ6rC2DE8N1DDxk7onIcZr0B772ndt856srYe2ZNzvwmKg84pYSKiNMK0ufKNDlXzFtxf6R0Cs/v/G6k3lFv7ZHKxxev2oozTpiA1jGCFDYyG+bEow9L9wOJqCHNPC2ZI42IYtTTW059CkGcPe5+U8bmrdiMGy6YgTXdc4aed2zAcO1aLe3V7z1aM6eMj+V9XBRnHDVzrwgVmwujb5pJZ0cJt6/fjjUP7x5KO2Xy4U17DPoH9kdKp2iqz++o9Y6g+oz33n6P+43KTcOvKs4pomaWxX1UFM02yrkSG42IYlKvgpKUONe7CDtXN8w0heqCf+/L+2JrMPLy6tKFJC5xxxGnlBBRHOb3bB7WYAQAax7ejfk9m5t2EV9KT9RrWb36jN/jWeGkxgNcbzSg5GR1HxWFK2sMZoHT04hiktUW0H4XWAANbQcZdlRKvWkKfrsL7Nkb79oARR0pE3cccZtsIorDLQGjMILSieIUdXpkUB3Ba3gqah0iz5p5ZyrK7j4qqs6OEtZ0z8Gji87Bmu45TdFgBLDRiCg2WUwD8rvAdt2+CV3LNjV00Q07V7feeiJp9OAdXtDdv+KOox/e53/cg9KJiPwEjYbgKAlKQ9R1zILqMwJTd3JptG2LZJ0DN+Sl0YCS4TeSsFY6pYvT04hiksU0IL8L7MD+kVX4sNtBhp2rWz266YwTJmDxqq24eunGwL9D3KSglay44+iFl/0b74LSiYiIslBvalKYdcy89wiqhyhM3alr7jRctXRjnNlvmE+1rSlxDcbm1iKCQZ9V6FuKWuHPGY40Igqh3g4cQDY7y0S5kIZ5bpiePL/RTTev3T7s9zSK976Yp7u5omvuNLRWdTu2tkhTLLJHRETNKcrUpKA6WeV71LKzrx+dHSW0OzJimW1GRjPvTEXwbTCqlU7pYqMRUR1hKzJZbAEd5UIa10U3zNQzBRJvOGof50ZlLxHV10deL4koY0E32K7ceFO+hZ2a5Dstf9kmnHztz3DV0o2hpsZ79aGF500f0dlH2cmi85XccURAvT4ondLF6WlEdYTdUQxIfwtov+lkrWMEEGBg8EBLQ9iL7vyezbhl7fahNgq/nQvCjm5Kup3jRUd2PYnb4lVbR0wxHNivhd0tjojy4R0nHe27Jfk7Tjo6g9yQK+La7Srs1CTfafmDir7+cKOPW8eYkbtevvsHBiFg34wLmnlnKgqu1xe1vp83bDQiqsPlOdZBF1i/tDDrAFQ2GHn6BwaxcOWWofcbEzDnOG39A/uzzkIiXI43Impe9zy4K1I6FV+cW2TXW8+v3lpFYR16iLn1qcx39jUa8qTd+UruCKrXu1bfj6uhPG/YaERURxYLXEcRdIHt7CgNFWxXL904tPBjUMG2eNXWwIpTX//AUC+eCw1GReZ6vHnm92zGknU7MKiKFhFcevokXNc5I+tsURNp1opbVrizzXDtba2+o1vyPF0v6jlVb0pZlPfyGzktAM44YcKIxqnR6Ns7kMoOr0RUPHE2lOcN1zQiquOMEyZESneF37z/q5duxNSAxbzzOJJlfs/mrLMQuzzM6Z/fsxk3r90+1IA4qIqb124v5PEgN0VZNLcIwmzGQOlaeN50Mx28QusYwcLzpmeUo9GJWmcAgusN3vlY6/ysjun1j+9G1Z8TCmD5hjKuvWNLbI08Y0Sca+g8eCxvx9LE8tRNSaxpFPexDrv2WhFxpBFRHVkOyY/a61f5fL9pZH5rFQG1Rxm5bMm6HYUb3dLZUcL6x3cPG8Vz4aluDddesm5HYHqjx4OjRiiKKGvN5V0z92y6zK+svvi0Sc4dk7Blq985VWt9QyB4ZKwIap6ffjHtt16W97o4RwW5OFq6hTuKp4blqbtOPPowrHl4t296I5I41s28hASbtonqyKqAiNqTXv38ehUjb62ietvTulyXcbHyN1o9vWUs31AeNopn+YayUz1hcW+L2myjRmj0mmmqVDP3bLosD2V1lLK1Xp3GL+b8RsYCQNCloNzXj2O778Q1t23i9LAKex1bs6XIWJ66a+0jeyKl15PEsQ5aKsK1JSSSwEYjojqSKiBqDZns6S37VqqCtp+dvWh16K1mK/X1D9R9jQJoZTdYavJQoWkR/3gISq8nD9+Z3BJ3DLqsmXs2XZaHcitKHsPUaapjrrOjhBsumBFp+kiYTq1q7W2tvo1TRFGxPHVX3B2SSRzrPCwhkRROTyOqw29xxtEWELWGTAJA17JNgYWk11N3eFsrBgb344WXk++t2zdYvBE9rsrDCIpLT5/kO5Xg0tMnNfR+rMRRVHFXLl2Wl8Xxm00eyuowZWvlrmT1tp6vjjnvtXv2htvuvlEv7xtE/8B+tDiyeyu5q950TJan7hojwH6f07t6rbOwkjjWQbtWN8PURjYaEdWRRAFRq/dv78v7MFCnkUYB311bkuJqFS3Pu9TkmbduUVy7p7ESR1EF3TwWcaRREh0XNHp5iMEw29hXbz0vVf97qmNufs9m3LJ2eyr1A2/6FhuMmld1Y9AZJ0zAPQ/uGlYvB1B3DRuWpw4LOr0bPO3POGGCbwfnaDcyCtq1uujYaEQUQtwFRK3evySrRCLBaw3k0fMvptdwRsNd1zkjtkXIWYmjqJpppFEz92y6LA8xWK9sDVr8umRjLCjmenrLqTUYNYue3jLP6SpBo+CqF073GocOHjum7gYJLE/dFbSyV6Mrfv1405OB6UXbRCcNbDQiykCt3r8kh7YfMnYM+gu04CJnzRUDK3EUVR5GecSpWXs2aXTqla21OrCqX+utg9TZUcrtjqsuK+LOj/XM79k8YsTyzCnjfRuK6sVbrV32/Nbiara/dTMKmpGR5kyNImGjEVEGgnr/goZSxqVIDUZFFbSmRDFvhQ9gJY6iyMMoDyIX1Cpba3Vg+a29ePXSjbhq6cZE89usmm0Nv/k9m4fVdwdVcfPa7Vjymx0YtAvbxFWac6o7xaneullFVXf3NBGZJCL3iMgDIrJFRD5m08eLyN0i8pD9/wibLiLyFRHZJiL3i8gpFe91uX3+QyJyeUX6qSKy2b7mKyKmqzDoM4jyzttxpNTeBoEZCn7hqSUsWbcj66xRRLV2wWtEzFO6iQopaD0zrnNGacnDDn7zezbjtfPuxNRu8+/P//dPhl2jau0EFDR1LQyH/gS50WwNG0H13UG/lZBDOmLcyF32ONW9eQXt6hhlt8dqPb1ldN2+CWW7nEi5rx9dt28add0/D+o2GgHYB+AaVf1zALMAfFhETgTQDeDnqno8gJ/b3wHgbADH239XAPgaYBqAACwAcDqA0wAsqGgE+pp9rve6s2x60GcQ5V5nRwlruufg0UXnoGvuNCzfUGYvec54PbGVF495KzY3xcWDKEtBN6VFvVmNu3GaRu+oQ/1vPILS0+aN5Ki8B+8f2I+PL904FD9+HVg3XDADnR2lUY18YVUmumZr2Ii7vtvaIlA109S8htvKeKbms+Dc6WhtGV4paG0RLDh3esPvuXDlFgxUNWwO7FcsXLml4ffMi7qNRqr6pKreZ39+HsADAEoAzgdwk33aTQA67c/nA/ieGmsBtIvI0QDmArhbVXer6h4AdwM4yz72SlX9taoqgO9VvZffZxAVil+PXqMEwOzjxo/obfHT6DaWZNTaBY+IktMXsMV3UHqesXHaTU8//3Kk9LQFjeTYDwy7RlV2YK3pnjN0gx125IvArdFVedVsDRuNxIz3ilJ7G/4/e+8eZkdV5f1/V3dOQgeQTiAgNAlBZIJggECUOBkdQDFcBHrwAhgUHB1/4+VV0IkmmncIGEw0Mw7OjKOvKCMKQrjZBkEjI6gjQyLBTogBMtxCkuYWCB0uaUins35/7H06dU5X1ak6l6pdVd/P8/TT56yqU7WratW+rL32WhfMmDRs7Bw3tgTo7lg1Q6rDHkZFu69ZJkgj6q1duqd14dy3TRzWtXYRnPu2iQ3pRJHjJMWKaSQikwFMA7ASwAGq+jRgDEsisr/drQuAt6XabGVh8s0+coSco7pcn4TxVMKkSZPiXBIpKK7pTDPXsiuAP254EaMiWIRUTWP7Yg4HWs0kSF/CgoiSYuNaHZM3aqUSzyJBOhNmnOaAqNiE1TNhnhxR2qg5s6bUjF/U1dmBe+aejEPn3h6htCSIpJbVJtUuhcV8KW8L0s82AfxWqHWFxI6ZufiuEf3YNOvIZse8STOGTpJ9mWaHZ+jp7atYxTGkilvu78P0Q8az7ayDKMvTAAAisheAWwBcrKovhe3qI9M65JFR1e+r6nRVnT5hwoQ4PyUFxTWdafZAZ3BIIwW9PqizI9Mz80nNbQbpS9Bzy/LAlTQH1+qYvBEWiyWrBOkMjdMkiLB6JsyRI6iN8i6DXLJ8fWgbW37fenr70EZPo4ZYcFb9y2XiUE+7FHdJbJhnpHdbNe0imHnY+BEeSKU2wZXnHlvhBVeNS3Vksz1D0/Y0zXJfphWrAcaW/E0nQfI8EekKRaQEYzC6TlVvteJn7dIy2P/PWflmABM9Pz8YwFM15Af7yMPOQUjitCKmRPmYfg1oEpQboaySdtnnzJqCUtvIDk6WB65pwZgtJA5hsVjyBo3TpB46RgV38f3aqJ7ePsy5uTLAa1gbOzA4hAXL1mHOzWsYj7FBXK634hoqwgbqQaEYujo78Nii07HhhQHfeDG1Bvku1ZHNNlQwDEL9BI2tGhlzjQkI/REkzxM1l6fZTGY/BPCQqn7Ls2kZgAsBLLb/f+6Rf1ZEboAJer3NLi1bDuDrnuDX7wUwT1W3isjLIjIDZtnbRwH8W41zEJIofqln5926dnh7mNuo1610n44SduwcwvYIXkCkNk7EZKougwtlyhhh75fLnWlCkmDOrCkV7weQfa8q0nrCvI396tXLbluHwaF4xp8ixPEghqjLverx+ilvq9djyKU6stleTy55UZFixVOsJoqn0UwAHwFwsoistn+nwxhyThGRRwCcYr8DwB0AHgfwKICrAHwaAFR1K4CvAbjP/l1uZQDwKQA/sL95DMAvrTzoHIQkSpCl/7Lb1oW6jVa7lfYPDNJg1EQayMzaFJYsXz+ikz04VHtWjFTCmTQSl7Rd9pOke1oX3n98V0Uwz/cf30WDKglln4A4OZ0dJV/PTsY2TI+s1FtRDBVhXj+1PIKCtreJhN4jlzxPm+315JIXFSn286jpaaSqf0Dw3Pm7ffZXAJ8JONbVAK72ka8C8FYf+Qt+5yAkaYIaSr9Olnc2pplZ0Yh7cAaoOfA+krgUKTh0T28ffrpiI8rTDUOq+OmKjQzmmTIC/yXSrjibDg75T1D1DwxWBLju6x/AnJvWJFUs4kNW6q0oA+NaXj9h2046YgKuW7FxxHs1pDrC+9gvOPQ9c09u5PKaQrO9nlzyoiJGR69dsdFXnndiZU/LMmlGnifZJyhTTxDlwW5asYqKQlIZRwLPH5B5rnNsuuVKgmbWqXnMhEVaSytiFbjKvFsfQPXwf5eVsx+THrNnTPIdPMye4Ua2xFd3RJ+wqo4jQ5IlCxMkUQ0V5ToprH/gt62c6SpIE72TAq1a0t6Mfk2U60/zeKQx7n54Syx5niiE0YjxMkijBFn6x4xq813TXx7sipi09qQ1JJVxJIhXXvN35w+S54Vm16lFnrkh9dEu4ht8tzrzTh4Iik0TJUMmaR0Lu6cCAK5fuQlDqmgXwfknTByWExIVlydIBIhtqOieFrx8trytbKC5ZOlqLFm+Htt37KzpmV82rrXC07SZ/Zqw66+HZh+P1E+RJqyqKYTRqEhu7KR1jBnVNqxH48aWcOmZxmAx56Y1FbN03uxZNBi1jgtmTEr9/Q0as+V9LNfsOrXIMzdFopneaUHZmpjFiSTJwu6pNBKRhii1u51x9YnFZzT9mH4GmiiUjWutWNLOsWJ85vesLZzRvEgTVtUUwmjEeBkkKn6DGmCkYWjb9kFcdts6/8CR+a83nCDvDZPLMDuIW2Rh+XVPb19FPeqNo+JaWV2jTfyD/juRPZI4yeyr7k27CCQqBbRz1xPv0zsh24ol7eyHxGN+z9oKD/Eh1eHvee6fF3nCKkr2tMxT5EjnJDpB2Xjm3frAiPX+u+AfBBuozJ41tlSIVyxxZh42Pu0iFBpmB3GHrGQRW7Bs3Yh6dHCXYsGydSmVKDt8+AT/GDlBclJsenr7cM9jW2vvSJxgcFfxMq7WZYjxGMnnzJqCjlJ7xeZGg0OzHxKP61duiiXPC3uObo8lzxOFGNG2onIh+SPINbWeuBF9/QOY37MWAztzvk4pBQ7YezSu+7t3pF2MQhMUa6jeGESso+snzKXeJfxiv4XJyW4Wdk8dYSifedj4XM/mkvpx7d0ntSmaN0uQIaazo4SugG3eCdnuaV1YdM5UdHV2QAB0dXZg0TlTG/JaZT8kHkX1uNkekGAgSJ4Gh++/Zyx5VAqxPI2R50kUmt1o+wX2JY1xwN6jsfKrp6RdjMLzizVPB8rrGciyjq6fVrnUZ2HJW1Ho6e3DnzZuq5D9aeM29PT28ZmQERTNAJEHiubNEpRcZsFZR6F7WhcOnXu776o9r263Itg0wH5IVIoa2yfIJOaSqezxLdtjyaNSCKMRwMjzpDZBa6RJ8nSU2kZ4eM08bDw9jByhFV4jrKProxVQ824oAAAgAElEQVSxHVoRf2jc2JLvkt5xY0t1l7MoMEAriQP7MtmiiN4stQw0rWjXopaLdWo0zj9hou/k+PknTEyhNMRLq7zACrE8jZAo+LmmkuRoF8EFMyZhw+Iz8NDXTsOGxWdgw+IzcOW5x6KrswP/89hWzFx8l3OxWghJk2YvFQRaE3/o0jOPQqm9cgay1C7DWSjjEjSXmcc5TgZoJXFo5N0nydGsZVVZpXtaF+6ZezKeWHwG7pl7csU94FIx91nYPRUXzJg07FlU7sNz2XT6BHl7NeoFVhhPI0JqUW6wvnjjmkCXy12qTrkg5oWuzg7cM/fkEXK/tKzzbl0LgBmXCAGAux/eEksehVZ5kgHNc/1/8/574pHnXvWV5420Zt1JNmnk3SeNMbbUhsFdisGh8J5iUJ+HGLhUjLhKFrymW+UFRqMRIR66p3XhkqWrfbftUsUTi8/AzMV3+XbgBW6taXWFzo4S9hwzCk/Z7E5+BM2Yc1mGm3R2lHwNCJ0d7jSaLtPMeEFBy1BcXJ7STNf/R7eMNBiFybNMUPwPzroTP+iBFo2gmCz1Uvay6OntC5x8LENvsNpwqZjbzO9ZW2GYGFId/u6Kt1G7AH722/YGHG6CXmuX4n+X7//1KzdhSBXtIjj/hIkNPxcuTyOkilppN4PcZmfPmFSRyeGCGUyHLAAWnHXUsAtyUFaMoHvOZRlusuCso1Bqq1pq1CZYcFZ9S42KRNl7rs8aUcvec1x2GY8sdNyaRSsyBZH8Qg+0YNoEuPLcY7Fh8Rn45w8dEzskQXl5x7ixJXR2lIbfxyvPPXZ4QNY9rQu7alRE9AYjWef6lZtiydMgyOGvhiNgKNsCPK6D5GmxsHsqHlt0OjYsPgOPLTq9KYY8ehoRUkWtWd04brNFz6CmwIh16nFmzLksw03oOl4/WfCeE/E3vuQ8KQohuWDOrCkVgezJblR3t1/V7VjY3eootccy1NYKRs6JL5J1WhVs2XWKPC6h0YiQKqIMiKO6zfplASvLAfhuyxPVnkVxjQ1cluEudB2vj2Z7z7XCwDP7hEm+Bu/ZJ7jjPTm21IbtPvXn2FL+HKgZ243EJscG3i47aCsvLxs3toRXXtsZyUhWPbDztmNBoQfaRWJ79vn1XcLKQUjWCFre2Wiw5WbSilAKfkb5UpsUYlxCoxEhPjRrQLzonKPxhaWr4R3atFk5gBHb8kSQcSfOvXXdo2XmYeNxz2NbfeUkXQ4PCJR8eMqBkps9SzVKgEGfsdKoBvptrVoP30y+fs7R+MKNq+EdJ7aJkeeNLHinEXdYsnx9zUDMQP0xffYc3Y7OsaPxVP8A2pocF6gW7SKBSTO8/YSTjpiAW+7vizXhFDRJVc9S0PL+C5atGzFo5cQXyQOtCrbcTBacdZSvgafhUArV/St37GQthUYjQlpILaPHqie3Dg/M8sBY61nVTOOOyx4tG17w9w4JkpPkuPMLJ+KUb/22wnB0+P574s4vnJheodB877kgZ8VGnRgXdk91ykhUjesG5WbC2G6VZGGGO02i6EW7CB5bdDqA3QaXqMHzt+8YwrrLjeHm0Lm3B+7XJkCUFXKldsGeo0dh28AgOseWsG37YOBkWlBfya+fMP2Q8bHqh2bXKeUyNTPxASGukIXJpVb0E/yM8oNDWohJHBqNCGkxQUaPnt4+3HJ/n/MGo7DZyPK2roJ2hLKUuaqIpG0g8qNIxo5W47JBuZkUOYaCH0WNpRGVWvF0AGDGm8YNf/YaN6LEQvLqXdC5yn2CsjGqOrts+btf3yEs+1hQMg0/6qkfWlGnFKWeIsWj2ZNLbYCvwbiRRefNfv+KPIlDoxEhKeG35MA1OkrteP/xXb5u3szewxlvUh/N7MQEzea3UQVzw0lHTPBdBlDUtN1dIYYKYrwZL1m6OjSws583bNiSqjLVXpFhuumt5+J425TljGdISLEojWrD6ztHmo1Ko9yJVVjkSRwajQhJiTCrdFCnuMwFMyaNMOT40d4mGIqRQcXrJu7t2MV18y4KnPEmaRP0ejNxUn4ISs9d1LTdTJAQTve0Lqx6cmto9tag/ke1QbuWsSeqbsY1lNMjk5Di4WcwCpOnQZHbHxqNCEmJMLfue+aejMkhsQIWdk8dYcg56YgJuPvhLRUdLACxYhUs+cAxvp0yulf704oZb3ovkTjQ6yL/FNkd3g8aFGqzsHtqqNEo6qx4rba/lbrJfgchxDWa3f5kqc9PoxEhKVHLWj1ubAkvbh/pIj5urEkVGbVDVY5VEJb+FTCDTHbQ4tGKGYdmZ6TIUoNE4lPkWa9mUx13xStPE1fc4Utt/gHWSymsHKBBoTYdNjGFH82qH1zRTUJI9nG1Da6mme1PFrLQlXFnkWAAInKqiKwXkUdFZG7a5SH1c8GMSbHkead7WhcWnTMVXZ0dEBijjTdO0KVnHoVSe2VVWWoXXHpm/FSR3nMBIytgDjLro9YzrIeF3VNxwYxJw0addhFcMGNS3cEGgxoeFxskEp9W6GBRmR3QFgXJk2LOrCnoKLVXyNKos5d88NhYcpIui8452reTf8GMSU2rH1zRTdIY7J8TF3C1DW4lze7ztxKnPY1EpB3AdwCcAmAzgPtEZJmqPphuyUg9ZCE9Y9KEWatblf4ViBeUkoTTihnvZmak4HuXf+h10RxcfVdcWY7lSjlINJJ4XtSJfOBq3UeKRVH1sNlZ6FqFqMMBW0XkHQAWqOos+30eAKjqoqDfTJ8+XVetWpVQCUmrEJH7VXV6EueizuSDpHSG+pIfqDMkDmyXSFyoMyQubJdIXKgzJA716ovry9O6AGzyfN9sZRWIyCdFZJWIrNqypZjZREg8qDMkDtQXEhfqDIkLdYbEhTpD4kB9IXGhzpAyrhuN/GJfjXCNUtXvq+p0VZ0+YcKEBIpFsg51hsSB+kLiQp0hcaHOkLhQZ0gcqC8kLtQZUsZ1o9FmAN5orQcDeCqlshBCCCGEEEIIIYQUBtdjGo0C8L8A3g2gD8B9AD6squtCfrMFwJMhh90PwPPNLGcKFOEaDlHVREzaEXSmWeThuSVFPfcqEZ0J0ZcsPF+WsRLqTG1Yxt240C5l4Xkkiev3I22dcf3+1EMerwnYfV1sl2rjehmTLh91pjYs427q0henjUYAICKnA7gSQDuAq1X1igaPtyqpoIStgteQTYp4zfWSxXuVhTKzjG6RhWtlGd2iSNcaBd6PcPJ4f/J4TYA71+VKOcJwvYyul6/ZZOF6WcbGGZV2AWqhqncAuCPtchBCCCGEEEIIIYQUCddjGhFCCCGEEEIIIYSQFCii0ej7aRegCfAaskkRr7lesnivslBmltEtsnCtLKNbFOlao8D7EU4e708erwlw57pcKUcYrpfR9fI1myxcL8vYIM7HNCKEEEIIIYQQQgghyVNETyNCCCGEEEIIIYQQUgMajQghhBBCCCGEEELICHJpNBKRU0VkvYg8KiJzfbaPEZGldvtKEZmcfClrE+E6LhKRLSKy2v59Io1yBiEiV4vIcyLy54DtIiL/aq/vARE5LukyNoLf9YnIMSJyr4isFZHbROQNnm3z7LWuF5FZHnnoc84DIjJRRO4WkYdEZJ2IfN7Kx4vInSLyiP0/zsoDdUNELrT7PyIiF6Z1TV5cf4ZB999FRKRdRHpF5Bdpl6VVuK4vQHZ0pgj6UiYLepMUWdHPtMiTrojIBtunWi0iq6zMt+/gMgF9xth9oBaWzwmdaWZ/scXlrGh7RORQMWPKR8SMMUdbeSbGnPXgis6EkZW2IhN9GVXN1R+AdgCPAXgTgNEA1gA4smqfTwP4nv18HoClaZe7zuu4CMC/p13WkGt4F4DjAPw5YPvpAH4JQADMALAy7TI3en0A7gPw1/bz3wL4mv18pH2GYwAcap9te5TnnIc/AAcCOM5+3hvA/9p78k0Ac618LoBvhOkGgPEAHrf/x9nP41K+NuefYdD9T7tcAWX9AoCfAvhF2mUpqr5kSWfyri9Z05sE70cm9JO60pTr2QBgvyqZb9/B5b+APmOsPlARdKZZ/cUEylnR9gC4EcB59vP3AHzKfnZ+zJl1nalHn9IuVy19cvEvj55GbwfwqKo+rqo7ANwA4Oyqfc4GcI39fDOAd4uIJFjGKES5DqdR1d8D2Bqyy9kAfqyGFQA6ReTAZErXOAHXNwXA7+3nOwG8334+G8ANqvq6qj4B4FGYZ5z55xwFVX1aVf9kP78M4CEAXah8F68B0G0/B+nGLAB3qupWVX0R5h6fmuCl+OH8Mwy5/04hIgcDOAPAD9IuSwtxXl+AbOhMQfSlTCb0JimyoJ8pUgRdCeo7OEtAnzFuH6hVOKMzTewvtozqtseOIU+GGVP6lc/1MWc9OKMzYWShrchKXyaPRqMuAJs83zdjpHIM76OqOwFsA7BvIqWLTpTrAID3W3fMm0VkYjJFaxpRrzFL/BnAWfbzBwGUn0nQtebxHoRiXXOnAVgJ4ABVfRowFTuA/e1uWbpfLpYpkKr77xpXAvgSgF1pF6SFZEpfAKd1pgj6UiZzepMUDutnWuRNVxTAr0XkfhH5pJUF9R2yRtw+UKtwUmca7C+2kuq2Z18A/XZMWV2GLIw568FJnQnD4bYiE32ZPBqN/Ky3Wsc+aROljLcBmKyqRwP4L+y2ZGeFLDyHuPwtgM+IyP0wbpA7rDzoWvN4DwIRkb0A3ALgYlV9KWxXH5mr98vFMvkS4/4njoi8D8Bzqnp/2mVpMZnRF8BdnSmQvpTJlN4khav6mTJ505WZqnocgNNg+lfvSrtACZD0M3ROZ5rQX2wJAW1PWBmcu7dNIlPX5WpbkaW+TB6NRpux27sDAA4G8FTQPiIyCsA+CF9GlQY1r0NVX1DV1+3XqwAcn1DZmkWUZ5UpVPVhVX2vqh4P4HqY9b5A8LXm7h4EISIlmAr7OlW91YqfLbsR2//PWXmW7peLZRpBwP13iZkAzhKRDTBuzieLyLXpFqklZEJfAOd1pij6UiYzepMUjutnmuRKV1T1Kfv/OQA/g1kWE9R3yBpx+0CtwimdaVJ/sVWMaHtgPEU67ZiyugxZGHPWg1M6E4bjbUVm+jJ5NBrdB+BwG8V+NEzQsWVV+ywDUM669AEAd6mqa9bRmtdRtWb3LJh1mlliGYCP2swHMwBsK7ueZhUR2d/+bwMwHyYYHmCu9TybReFQAIcD+COi6Wvmseu3fwjgIVX9lmeT9128EMDPPXI/3VgO4L0iMs5mznivlaWJ888w5P47g6rOU9WDVXUyzD28S1UvSLlYrcB5fQHc15kC6UuZTOhNUriunymTG10RkT1FZO/yZ5g2/88I7jtkjbh9oFbhjM40sb/YEgLantkA7oYZU/qVz/UxZz04ozNhuN5WZKkvM6r2LtlCVXeKyGdhBpLtAK5W1XUicjmAVaq6DEZ5fiIij8JYe89Lr8T+RLyOz4nIWQB2wlzHRakV2AcRuR7AiQD2E5HNAC4FUAIAVf0egDtgsh48CmA7gI+lU9L6CLi+vUTkM3aXWwH8JwDYZ3cjgAdhntdnVHXIHmfEc070QpJhJoCPAFgrIqut7CsAFgO4UUQ+DmAjTBwoIEA3VHWriHwNprECgMtVNdUZm6B3Nc0y+eB7/1X1jhTLVEgyoi8AdcYpMqQ3SUH9DCBnunIAgJ+ZcR9GAfipqv5KRO6Df9/BWQL6jLH6QK3CMZ1pSn8xBb4M4AYRWQigF2asCWRgzFkPjulMGGwrmoTkw9hJCCGEEEIIIYQQQppJHpenER9EZKaIPCIir4hIt4j8UkQurP1LQioRkT+IyEUN/H6ziJwYsO09dl0vIcRhROSdIrI+7XIQ9xCRi0TkD57vFf2PFpzvROu5QUgFIrIuqL9Rz74iMllEVHbHriHEFxH5kfU6IikjIhtE5D0tOvYrIvKmVhzbNWg0agL1KKNtdN5cJXuDiFwpIhutEj5qv+/XhGJeDuDfVXUvVe1R1dNUNWvZ1lJFRK4TkaurZH8tIi9IZXypZpzrWhHZYfVgq4j8WkT+opnnaCbW2KMi8oW0y0KyAwd7zcWvLaoewDdw7Io2S1X/W1WnNHpcz/H/UkTuEpGXRWSbiCwTkSOq9mllG0k8NFmXKvofIvJbEXnNPsNtIvJ7EZkao2wj+k+k+YjIeSKyUkReFZHn7OdPi10r5gp2cF7uL5X/zgUAVT1KVX8b5Thx9iXBiMhficj/2Hd7q4jcIyJvS7tcZURkgYgMWj3pt2V9R9rlIrVptW55jMLlemSDiMwN+41t1x5vVhlchkYjRxATROw3AI4CcCqANwD4SwAvwGSKaJRDALi41jRLfA7A6SJyCgCIyB4wWeu+2MygeyLSbj9+XVX3AtAFkyXiqmadowVcCLNWm95rLcA2XAO2EXtRRG4XkYm1fxnrHAvEJ2ODiLxPRP5oBw4vWINmVzPPTYqN7bD/GiZw6EEADgXwAIB7RGSy3afVbSRpHX79j8/a9m1fAL8F8JOkC0WCEZEvAvg2gCUA3ggTW+jvYeKDjI55rCS8cr5pB2/lv6UJnJNUISJvAPALAP8GYDxM//UyAK+H/a7qGEnoy1Jb/0wA8AcAt8Y1hiZUTmJphm7FoNPqx/kA/lFETvUpT+GeP41GLURE/s7OhG61s6YHWfnv7S5rPDMiHwUwCcDfqOqDqrpLVZ9T1a+Vg3WJyFvsDF2/GDfaszzn+pGIfMcOJl+2M0KH2W2PAXgTgNvs+cbY43zCbm8XkX8WkedF5AkR+azQ/XYEqvoCgP8D4PtisnhcCuAxVf2RiLSJyFdE5DF7H28Qk90LdtvNIvKMfXa/FZG3lI9rB+HfEZFficirAN5Zdd4BADcCONYrF5FPiMjD1ojwy7IRQURG2ef3KVuel0XkUhE5XERWiMhLInK9mBSU5WP9vdXVF0SkRzyeUyJyqoist5b9bwOQqnLsBeAcAJ8CcKSIVJfzIhF50t6XuVXbxorIT+w1rANwfLynUijOtI3YgQCehWk4W4qIfADAT2EGD/vBDNh3APhvEels9flJcxGRg0TkFhHZYuv6z3m2vV1E7rV11NMi8u/WUOPbZkmVl5gYw+Y/iMgDtq5YKsawXt7+JXvcp2zd5fUW+SaAH6vqt1X1ZVXdqqrzYTJMXmr3qdlGkuQQkbme9uVBEfmbgP1G9D+821V1J0ya4SM9v4mli57ffVGMR8zTIpKpxBouISL7wHiHfVpVb7bvpKpqr6rOVtXXReQMEem1/YlNIrLA8/vybP3HRWQjgLus/CbbDyp7lx3l+c2+InKbPd59IrJQKpc4HiEid4rpT68XkQ9FvJZhjzkxEyM3isiPrd6uE5HpAfu+XURW2fI8KyLVWZdmi/F4fF5Evhr7JueXvwAAVb1eVYdUdUBVf62qDwDD46KHPPXGcVa+QUS+LCIPAHhVTD82rL1q89RBL9jnOt5uK+vfhbWekaoOArgGxjC6rz3ufDF91uesruxTddxqvS57v/Tbd+EizynGic+4jNRFoG6JyGFiPJVfsM/7Ognoo4bpTjWqei/MhMdb7W9VRD4jIo8AeMQje7P93CFmPP2kref+ICIddtsMj56skYjLZp1CVfnX4B+ADQDeUyU7GcDzAI4DMAZmgPd7z3YF8GbP9xsAXBNyjhJMZoCvwMzynAzgZQBT7PYfwXh6vB0mw8R1AG4IKiPMzN4n7Oe/h8nqdTCAcQD+y5ZvVNr31sU/ADfDpJV8AcAkK/sHAPfAWL73gM2WYLe1wWS229tu+3eYDHjl410L4EUA77D7jrGyBXb7XgCuB3C/5zcfALAewBT7vBcA+G+7bZR9frfacx4NM9C/E8Bk+4wfBjDb7v9eGE+mY235/gMm5SMA7A/gFQB/Y3VwDkz2t4s8ZfkYgM227L8E8C3Ptqn29zPtdf2r/f2Jdvs/WV0cBzMb/SCADWk/Y9f+fN7f0wH8r+fzg7Y+6APwD1Z+on0uX7LP92kA3eXfwtQXX7H7nmp1ZNA+rzUwxsEnAXypqixtMCmPL7XfFwC41rN9Mjz1h9WPh2z5Hgfw/3n2PRHA5rTvb17+qvXEyi6CmUltA3A/gH+EaUPeZJ/HLLvf8QBm2Ppjsn1mF3uOU91mVTw7e+4/wngKjbe//3uPfj0DY3QcC+NVogDebL8PATjJ53o+BqDPfg5tI/mXnC7Zzx+0z7oNwLkAXgVwYPV+fsdCZf9jNIArUNk/qkcXd8IYOkowddx2AOPSvo9Z/LPv606E9AHtPZ9qn//RMBMZ3XbbZPuMfgxgTwAdVv63MH2SMQCuBLDac7wb7N9YGAPiJo+u7Wm/f8zqxHEw/euj7PYfAVhYS49h2qrXrH60A1gEYEXAvvcC+Ij9vBeAGVXXdhWADgDHwHg6vCXt5+bCH4wH6AswhpjTvO+grTP6ALwNpn/xZgCHeO79agAT7X2t1V5dDGAFzLhlDID/B+D6KM8Inj6L/e0SAJs8OvqoPd9eMP3on1Qdd1ivYSYyXobxSCnBeE4e69HLwHEZ/5qqW28GcIp9nhMA/B7AlZ7t3nc7iu6Msjo6E6YtebfdrjBjqfHYXa8Nt0cAvgPTvnXB1DF/ac/RZct+utXtU+z3CWnf11jPIO0C5OEP/p2rH8K4y5a/7wUzIJtsv1d3eu4EsDjkHO+E6XS3eWTXY7dh4UcAfuDZdjqAh4PKiMpO212oHMi9BzQahT3vA2AG1p/3yB4B8Nee7xNhGqk2n9/vZ+/vnvb7tTCpKr37XAvTuem3+z4O4K1V+nKh5/soe74u7DYaneDZvgZmGV35+7cB/JP9fA3MUrjytjfADOIOhmlAvZ3/Nhjjw0VVulQ+1kdgOo9lg8HlqDQo7GWPfaL9vrFKLz8NGo38dG74/YXpVF8D45kB+zzeaT+PA3Cc/XwiTMf/H2E6M38HYAuM59DeMAP41wC8ye6/oOpZHWH16FCf8lwG4J6A301GpdHoDACHwTTAfw3TAHvLSKNRc/XkFVtvlP+2wxiNTgCwsWr/eQD+M+BYFwP4med7FKPRBZ7v3wTwPfv5agCLPNvejN1Go4Pt5yN8ynAqgB32c2gbyb/kdClg/9UAzrafL0Jto9F2e8wdALbBdsob0MUBePosMIbyGWnfxyz+AbgAwDNVsv+xz2sAwLt8fnMlgH+xn8ttwJtCztFp99kHZnA1CDsJarcvxG6j0bmwk2Ke7f8PuycufoTd/aV+AM/76R5MW/Vfnm1HAhgI2Pf3MO3cflXnLV/bwR7ZHwGcl/Zzc+UPwFvsM9kM0wdZBtNvXg5Pv7nqNxsA/K3ne2h7BWNIfrdn24FWh8qG5sBnZPVgh9WV52DGQMfbbb+B8bAr/26Kz3HfVFWmnwVc048QMi7jX/N0y2e/bgC9VfpVfrej6E4/zGT+QwA+59lXAZxcda5yX6YNpn48xqc8X4Y1Pnpky+EZx2Xhj8vTWsdBMLP0AABVfQXGqhgUC+QFGMUNO94mVd3lkT1ZdbxnPJ+3wwzQo5Z1k+f7pqAdCaCqz8LMcnljNEyCcb/vF5F+AGthKpL9xSz/+6aIPC4iL8HMYgDGeFTG754vVtVOmPgeOwAc7tl2CIDveM73PIBdMAOwMs96Pg/4fC/rR7WuvgRTWXahSjes/nmXpEwG8C6YGRQA+Jk9bnn9b/XvX4GZeSlzYNW1PwkSRI991i/BzFIssfJBmGWBb1DVF1X1T57fDAK4Qo0L9g0wOldeArQORoePDjhfWT/94nU9DTObUxNVvV1VH1PD72Bi17yz1u9I3XSramf5D8YQC5g646BynWF16SswnXmIyF+IyC/s8pGXAHwdlXVUFILaoLA25kWYusuv/TsQxtAJ1G4jSfMJ0iWIyEdFZLVHl96KePryOXvMPQC8D8DNInK0PXY9uviCmqVuZeL0gUglLwDYTzwhClT1L+3zegFAm4icICJ326VD22A81quf0fB7bvtBi+2SkJdgBnGwv5kAM2ALqiMOAXBCVd01G2ZJUZl/8uhqmK5U11F7iH8oho/DLId5WMxyuffVOA51zaKqD6nqRap6MEy9cBCMUXEigMdCflr9zAPbK7v9Z55tD8FMSB7gOUbYM7rR6sr+qnqyqt5v5RX9Yft5VNVxveWsdU3UkyYSpFsisr+YsCB9tn65FsFtRhTd2U9Vx6nqW1T1X6t+HzRG3g+mPfPTh0MAfLBKn/8KGevT0GjUOp6CURIAgJgYOPvCuGb68V8AZtn9go43UUS8z2xSyPHi8DQqjQ1NDbBbEDYDOMXbwVbVPVT1GZhYHKfDLCncB8YiDVTGBtKgA6vqBgCXAPg32R0PYhOAj1edr0NVV9ZR9mpd3RvGY6UPRjcmera1oVJXPmqv45ci8gyMQWy0lcPn93vBuHWWeQaV+japjvIXhW7baR8D4LMAficibwTwfhj9elJEfieVWUBeUNUh+3nA/g8yHlbzvP1fazAfioicJiaW1lbbUJ6O+MYI0jibADxRVWfsraqn2+3fhVm2eriqvgGmg96sLEmBbYyqvgqzFOSDPr/7EIDf2c+12kiSECJyCMzSj88C2NfWS39GHfqiJjbVf8O0He+14lbqIqnNvTCey2eH7PNTmFn+iaq6D4DvYeQz8vZrPmyP9x6YftBkKxeYtmQngvuhmwD8rqru2ktVPxXrqmKgqo+o6vkwS/S/AWPUZN0TE1V9GMYz5K0wzzEspo9XX2q1V5sAnObT5250TFTRH4bpk+5EZb+pupyMU5QCVbq1COa5HG3bjAsQ3GY0qjtB47XnYTwe/fRhE4ynkfece6rq4ojndAIajZpHSUT2KP/BBC7+mIgcawf6Xwew0hoAAFMBvcnz+5/AKNUtYgL+tYkJDPgVETkdwEqYmAFfEpGSDaB1Joz3QKPcCODzItJlA4d9uQnHLBrfA/B1EZkEANbqXQ5UvjdMB+wFmKVFV8Q9uKr+EqZj9QnP+b4qNqC2iN8eylgAACAASURBVHSKCVpcD9cD+LiIHG11dRGMK/hmmEwFx4rI2XY27hJUeph8FGb507Gev3MBnCUmEPhNAM4WkXfYYy9EZYV7I4Cv2PJPghmEkBDUBAC8FWZm5K9U9T5VPRumc9sDc0/rOnTV9/UwxtCKwbw1HL4fuwfzr8LodZk3evYdA+AWmNhVB9jB5R3gADAN/gjgJTHBRjvszP9bZXe62r1hvNheEZPqvnpAVt1mxaHcHr5FRMbC1Ble5gK4UEQ+JyJ7i8g4EVkI48W4yO5Tq40kybEnTH2xBQDEBJ1+a70Hs4buI7Hbe7eVukhqoKr9MEuz/kNEPiAie9n37ViYZw+YZ7RVVV8TkbfDGIXCqO4Hfd1zviGY2DELxCTHOAK7J54A0w/5CxH5iO3/lkTkbeJJKNJsROQCEZlgvav7rXgo7DdkOGD5F0XkYPt9Iky8nxUAfgDgH0TkeDG82Rqg/ajVXn0PwBXl34vIBBEJM3JG5XoAl4jIoXaS8+swmdZ2Bux/HYD3iMiHxATv3leqksGQ5lBDt/aGXU4tJrvvnJBDtUR3bF1xNYBviQni3u4Z+1wL4EwRmWXle4hJJnJw+FHdgkaj5nEHzKx9+e+dAP4vzIDpaRjL43me/RcAuEaMm9qHVPV1mBmYh2FiN7wEU2nuB2Ns2gHgLJjgX8/DBCv+qLW0NspVMEtGHgDQa69lJ9hAxuFbAH4F4Dci8jLM+v9y4/afMLMXT8F0iv+nznP8E4Avi8hoVb3JnvMmMa6YDwCYVc9BVfVXMLGHfgajq5NgXL/LS/HOhVkK9YLdthIwGSNgXEO/o6rPlP/scTYAOFdNxozPwwwa+2A8i7zuupfac26ACaL943quoUjYztbZMN5gj4jIbBHZxy5Bewn1v7fPAphsjUJQVYUJ8D5fRD5sO25vhOn47Yfd2dtWA3iXiEwSk2VknueYo2E8o7YA2Ckip2G3NwFJEDswOxPGsPsETDvyA5hZf8A86w/DBPW8CkB1yuoF8LRZMc/9S5gg+HfDeJTcaze9brf/Aab+OgemPtgK4EKY2AFr7T6hbWSc8pDGUNUHAfwzzHN8FiYg8j0xD/PvYrKfvQJjEJxv9QRooS6SaKjqNwF8AbsTKTwLE0foyzB9mE8DuNz2d/4RtScrfgyz1KcPJnHDiqrtn4Wpi56B0Yfrsbt+eBmm3TgPph/1DIz3zxi0jlMBrLP6+W2YeDivtfB8eeFlmHhEK8VkA14B44X4RdtvvQLGS+1lmEmuoKxVtdqrb8N4uv3a6uAKe95GuRpG/35vz/saTNZkX1R1I4z39Bdh2q3VMIG3SfMJ1C0YI/dxMPHxbocxQgfRKt0BTNu1FsB9MPrwDZjYtptgPC2/AtMf3gRj2MqUHUbMuICQ3diB3fdUNWgGgBCSICKyAWa99RDMDP+TMB4YN8E0fifABBNdD+ASVf2DGG/Ea+3ab1hPsUGYwNYbrOwPMO/6tSKyL4CfwwTIfkJVy6lwzwYw38o7YBrpD6jqek/5vgNjaHweppH8PoCSqu4Ukc/ADCrGALgNNhOkqs6vLiMpBtZD4M8AxvjN4IrIMTDBST+sqsuTLh8hJF1E5BsA3qiqF6ZdFkIIITQaEQAi0gHgJBhvowNgvKNWqOrFqRaMEOIUIvJemBngd6vq6rTLQ7KDiPwNzAzgnjDZ/3apanfI/u+EMYZeGbI0gBCSA+yStNEws/Rvg/F4/4Sq9qRaMEIIIQBoNCIAbIyJ38Gk2B6A6dh/Xk0WLUIIGUZEzgTQparfS7ssJDuIyK8AvAPGW+53MGmN/TLzEUIKho1Vcz3MkvfnYJbCLVYOUgghxAloNCKEEEIIIYQQQgghI4gUgElELhGRdSLyZxG53kb9PlREVorIIyKyVERG233H2O+P2u2TPceZZ+XrRWSWR36qlT0qInM9ct9zEEIIIYQQQgghhJDWUtPTyKau+wOAI1V1QERuhFlrfDqAW1X1BhH5HoA1qvpdEfk0gKNV9e9F5DwAf6Oq54rIkTCup2+HcT/9LwB/YU/zvwBOgUnvfB+A81X1QXuuEecIK+9+++2nkydPrudeEIe4//77n1fVCbX3bBzqTD5ISmeoL/mBOkPiwHaJxIU6Q+LCdonEhTpD4lCvvoyKsV+HiAwCGAuTEvdkmJSogAlquQDAd2FSyi2w8pth0qqKld9g0+Y+ISKPwhiQAJNJ53EAEJEbAJwtIg+FnCOQyZMnY9WqVREvi7iKiDyZ1LmoM/kgKZ2hvuQH6gyJA9slEhfqDIkL2yUSF+oMiUO9+lJzeZqq9gH4JwAbYYxF2wDcD6Dfk9FkM4Au+7kLwCb72512/3298qrfBMn3DTlHBSLySRFZJSKrtmzZUuuSCKHOkFhQX0hcqDMkLtQZEhfqDIkD9YXEhTpDytQ0GonIOBgvoUNhlpXtCeA0n13L69wkYFuz5COFqt9X1emqOn3ChES8gEnGoc6QOFBfSFyoMyQu1BkSF+oMiQP1hcSFOkPKRAmE/R4AT6jqFlUdBHArgL8E0Cki5eVtBwN4yn7eDGAiANjt+wDY6pVX/SZI/nzIOQghhBBCCCGEEEJIC4liNNoIYIaIjLWxid4N4EEAdwP4gN3nQgA/t5+X2e+w2+9SE217GYDzbHa1QwEcDuCPMIGvD7eZ0kYDOA/AMvuboHMQQgghhBBCCCGEkBZSMxC2qq4UkZsB/AnATgC9AL4P4HYAN4jIQiv7of3JDwH8xAa63gpjBIKqrrPZ0B60x/mMqg4BgIh8FsByAO0ArlbVdfZYXw44RyHp6e3DkuXr8VT/AA7q7MCcWVPQPc03zBMhiULdJC5CvSRxoL4kA+8zKTKu6r+r5SKExKcV73Ok7GmqeimAS6vEj2N39jPvvq8B+GDAca4AcIWP/A4Ad/jIfc9RRHp6+zDnpjUY3GXCOvX1D2DOTWsAgJU6SZWe3j7Mu3UtBgaHABjdvGTpaqx6cisWdk9NuXSkqLDOJHGgviQD7zMpMq7qv6vlIoTEZ37PWly3YuNwIOi+/gHMu3UtgMbe5yjL04gDLFi2brgyLzO4S7Fg2bqAXxCSDEuWrx82GJVRANet2Iie3r50CkUKD+tMEgfqSzLwPpMi46r+u1ouQkg8enr7KgxGZQYGh7Bk+fqGjk2jUUboHxiMJSckKZ7qH/CVK9BwBUVIvbDOJHGgviQD7zMpMq7qv6vlIoTEY8ny9f6p5hE8XosKjUaEkIY4qLMjcFujFRQhhBBCCCGEkHDCxl1h47Uo0GiUEcaNLcWSE5IUc2ZNgQRsa7SCIqReWGeSOFBfkoH3mRQZV/Xf1XIRQuIRNO4SmPFaI9BolBEuPfMolNorh+aldsGlZx6VUokIMXRP68LsGZNGGI46Su0NV1CE1AvrTBIH6ksy8D6TIuOq/rtaLkJIPObMmoKOUnuFTADMnjEpmexpJH3KD5rpMImLLOyeiumHjKd+EmdgnUniQH1JBt5nUmRc1X9Xy0UIiUcr32UajTJE97QuVuDEWaifxDWokyQO1Jdk4H0mRcZV/Xe1XISQeLTqXebyNEIIIYQQQgghhBAyAhqNCCGEEEIIIYQQQsgIaDQihBBCCCGEEEIIISOg0YgQQgghhBBCCCGEjIBGI0IIIYQQQgghhBAyAhqNCCGEEEIIIYQQQsgIaDQihBBCCCGEEEIIISOg0YgQQgghhBBCCCGEjIBGI0IIIYQQQgghhBAyAhqNCCGEEEIIIYQQQsgIaDQihBBCCCGEEEIIISMYlXYBSDHp6e3DkuXr8VT/AA7q7MCcWVPQPa0r7WKRBuAzJa5BnSRxoL4kA+8zKTKu6r+r5SKkKLj+DtJoRBKnp7cP825di4HBIQBAX/8A5t26FgCcejlIdPhMiWtQJ0kcqC/JwPtMioyr+u9quQgpCll4B3O/PK2ntw8zF9+FQ+fejpmL70JPb1/aRSo8S5avH34pygwMDmHJ8vUplYg0SlLPlO8ziQrrGRIH6ksy8D6TIuOq/rtaLkKKwmW3rXP+HYxkNBKRThG5WUQeFpGHROQdIjJeRO4UkUfs/3F2XxGRfxWRR0XkARE5znOcC+3+j4jIhR758SKy1v7mX0VErNz3HFEpW+36+geg2G2140AzXZ7qH4glJ+6TxDPl+0zi0Bege0FyUmyoL8nA+0yKjKv672q5CCkCPb19eHH7oO82l8bGUT2Nvg3gV6p6BIBjADwEYC6A36jq4QB+Y78DwGkADrd/nwTwXcAYgABcCuAEAG8HcKnHCPRdu2/5d6daedA5IkHLuZsc1NkRS07cJ4lnyveZxKHdzD1ElpNiQ31JBt5nUmRc1X9Xy0VIEQgbx7g0Nq5pNBKRNwB4F4AfAoCq7lDVfgBnA7jG7nYNgG77+WwAP1bDCgCdInIggFkA7lTVrar6IoA7AZxqt71BVe9VVQXw46pj+Z0jEvRocZM5s6ago9ReIesotWPOrCkplYg0ShLPlO8zicOQaiw5KTbUl2TgfSZFxlX9d7VchBSBsHGMS2PjKIGw3wRgC4D/FJFjANwP4PMADlDVpwFAVZ8Wkf3t/l0ANnl+v9nKwuSbfeQIOUcFIvJJGE8lTJo0aVh+UGeHr2ulS1a7IlIO6JVmhPggnSH10epn2tPbhzYR3w5MEu8z9SV7dAXU/10J1f/UmWyRtr4AxdAZF+5zniiCzjQLFzITpa3/QfqSdrmi4sIzLBqsY5pPtR53ji35Lk/r7Cg5pd9RlqeNAnAcgO+q6jQAryJ8mZifL6PWIY+Mqn5fVaer6vQJEyYMy086YoLv/kFykhzd07pwz9yT8cTiM3DP3JMTfymCdIbUT6ueaTmWkZ/BKCkPNepL9ki7/qfOZIu09QUohs64cJ/zRBF0phm4EhMxbU/7IH1Ju1xRcOUZFg3WMc3FT49feW0nSu2V5pCOUjsWnHVUOoUMIIrRaDOAzaq60n6/GcaI9KxdWgb7/znP/hM9vz8YwFM15Af7yBFyjkjc/fCWWHJCiHv4xTICzFr7RedMdcoKT9yB9T+JA/UlGXifSRq4EhOxe1oXFp0zFV2dHRAYTx4X+jGulsuLK8+QkEbw0+PBXYo9R49y+v0DIixPU9VnRGSTiExR1fUA3g3gQft3IYDF9v/P7U+WAfisiNwAE/R6m11athzA1z3Br98LYJ6qbhWRl0VkBoCVAD4K4N88x/I7RyQYA4WQ7BP0vu5Sda5CJe7A+p/EgfqSDLzPJA1c0rvuaV1O9l1cLVcZl54hIfUSpK/bBgax+tL3JlyaeESJaQQA/wfAdSIyGsDjAD4G46V0o4h8HMBGAB+0+94B4HQAjwLYbveFNQ59DcB9dr/LVXWr/fwpAD8C0AHgl/YPMMYiv3NEgjGNCMke3rW+nWNLgfvxPSZhsP4ncXBdX/ISy8P1+0zyiUt6N79nLa5fuQlDqmgXwfknTMTC7qmJl6Ma1+qYqHFfWHcQ1+np7cOCZevQPzBSf8tkQY8jGY1UdTWA6T6b3u2zrwL4TMBxrgZwtY98FYC3+shf8DtHVCbv699ITN7X/QdDSBEpr/Utu276dRAA99baE/dg/U/i4LK+VNeL5VgeADJnODrpiAm4dsVGXzkhrWLOrCkV7xCQTj9ifs/aCv0fUh3+nqbhyLU6xq88pTZBqV0wOLQ7viX7gsR1enr7MOemNRjcFRyuOSt6HCWmUWZZ8fiLseSEkHQJil/khbGMSBRY/5M4uKwveYrlwZhGJA1cidlz/cpNseRJ4Vodk+W4L4R4WbJ8fajBKEt6HHV5Wibxy7YUJifJ4ZobLEkePx2IsjadsYyyTxLvP+t/EgeX9SVPsTzydC0kW7gQs8fVesa19zJq3Jee3j7MXHwXxxLESXp6+3w9mMsIgHvmnpxcgRok155G7SKx5CQZmDaTBOlAWAyjMllY90uCSer9Z/1P4hCkFi6oS1Cdl8W6MKiOj1L3E5J1XK1nXKtjopSHYwniMmX9DCNrbXiujUbnnzAxlpwkg2tusCR5gnRA1aztDSIr635JMEm9/6z/SRw6Rvl3h4LkSTJn1pQR9WJW68IghwoHHLoIaTmu1jOu1TFRysOxBHGZWuE2Su2SuTY8/d5QC1nYPRUXzJg0PLPcLoILZkxyIktBkXHNDZYkT5jrsTfuwLixJXR2lLh+PUck9f6z/idxGBjcFUueJK7EY2kG2wKyxwTJCckTrtYzrtUxUcrDsQRxmTA9HDe2hCUfOCZzbXiuYxoBZuDAQYJbuJT6lKRDmA64EHeAtI4k33/W/yQqrrdLeakXXb/PhLQSl/XftTqmVnlcvpeEBOlnV2dHpuIYecm1pxFxkzmzpqDUXrmAO4tueqR+4rpCl4MdHjr3dsxcfBfXrGeYJN3gqTckKq63S3nRZdeWwRCSJC7XM1mrY1iXEJeofn9OOmJC7vQz955GxFGq4xcwnkGhKM8eRcmgVQ4mV14bXA526D0OyQ5xnn0jUG9IbBxtl/Kky0m9/4Q4i4P1TBbrGNYlxBX83p9b7u/D+4/vwt0Pb8mNftJoRBJnyfL1GNxV2UoO7lIsWb4+0y8TiUdUV+iwYIfUl2yShBs89YbEweV2KW+67NoyGEKSwtV6Jqt1DOsS4gJB78/dD2/J7FI0P3JvNOrp7aMV2jEYvI7EgfpC6oF6Q+Lgsr64XLZ6YL+MFBVX32VXy0WIy5TbMr/YRUD+3p9cG416evsw5+Y1GBwyVv2+/gHMuXkNAHfdLYsAg9dlnyQ7/ft0lNDvk1lnn45SS85XZPI0mKPekDi4rC95ajPZLyseeWpXGsXVesbVcuUJvgf5Yn7PWly3YmPo6tIsttFh5DoQ9mW3rRvumJQZHFJcdtu6lEpEAAavyzrltbt9/QNQ7F77HidoYpyAiyLx5KQ+mvFcXYJ6Q+IwOOSf8jpIniR5ajPZLysWLrUrLgR6drVdcrVcecGl94A0zvyetbi2hsEoq210GLk2Gr24faTVPExOkqF7WhcWnTMVXZ0dEJj0g4vOmUqLe0YIW/sehVqNZ3XHLuh97ed73FQafa6uwfqfxOHVHUOx5EmSpzaT72WxcKVdcWXQHtRvSbs/w/eytbjyHpDGKRuMwshyGx1Grpen5Y08uTYyeF12aXTte63GszoDQRB5c/tMm7zFNBAB1GcaiDOnJIuwzSRZxJV2xZVAz64uA2N72VpceQ9IY0Q1GOUp+LWXXHsa5QlXZkkICTLWRDXihDWefh07P/Lo9pk2jT5X1/DrAIfJCSGENBdX2pWgCaiwialW4OoyMLaXrcWV94DUTxSDkQC5HpvQaJQR8uba6MLaclIfjcbXCGs8o8y6tAly6faZNnmKm0JI3mCbSbKIK+1Ke4BVJkjeKrgMrJi48h6Q+ph91b01DUYAMHvGpFyPTWg0ygh5cm2k11S2aTS+Rljj2Tm2tov2LmWWnVaQp7gphOQJtpkkq7jSrgwFuMwEyVtFW4CNKkhO8oEr7wGJz+yr7sU9j22tud8FMyZhYffUBEqUHoxplBHylHLXlbXlJB3Kz9gvPte8Wx9IuXTFJqm4KXmKz0ZIq2GbSbKMC/G42kV8DURJexrtCrBRBclJfnDhPSDxoMGoEhqNMsKcWVMqAgQD2XVtzJPXVBEpz3p7g1XPu3UtgOgeQEGN58Bg7fTWY0t0kMwyzdAfQoqEK/FYCMkqrngaEUKyAQ1GI6HRKCOEeWdkDVezR5BoNHvW2+t1EoXRo9pr70SchV4ThMRDAPgNbbmihZBo8B1yF3oeE9egwcgfGo0yRF5cG13NHkGiEWTc6esfwMzFd8Vq+Ku9TqKwzcfgSLIDPQ0JiUeQLwR9JAiJBt8hN6HnMXGN+T1rIxmMZh42vlAGIyBGIGwRaReRXhH5hf1+qIisFJFHRGSpiIy28jH2+6N2+2TPMeZZ+XoRmeWRn2plj4rIXI/c9xwk2zB7RLYJi6PlDdQ65+Y1NQO1+nmd1KJNhAFgM0yQRyE9DQkhhJDikLfM0CTbRM2SNvOw8bju796RQIncIk5wkM8DeMjz/RsA/kVVDwfwIoCPW/nHAbyoqm8G8C92P4jIkQDOA3AUgFMB/Ic1RLUD+A6A0wAcCeB8u2/YOZwiqVS483vW4rB5d2Dy3Ntx2Lw7ML9nbUvO02qYPSLb+GU/82NwSHHZbetC96nHu2RIFRcvXY1D592e2XegyAQZCeMaD0mxKHLK+XEBWSWD5ISQSvYc7d9nCZKTZKDnMXGFQ+feHsnDaMyotkIajICIRiMRORjAGQB+YL8LgJMB3Gx3uQZAt/18tv0Ou/3ddv+zAdygqq+r6hMAHgXwdvv3qKo+rqo7ANwA4Owa53CGpFLhzu9Zi2tXbBwO2jekimtXbMzkoJnZI7KNX+rQIMK8x3p6+9DWwJpEVWT2HSgyr+/0D3YeJCek6CnnR7f715NBckJIJbsCAl4HyUkyBHmuZzEzNMkuR3z1jkhLVdsE+Mb7j255eVwlqqfRlQC+BKDcq98XQL+q7rTfNwMoLz7tArAJAOz2bXb/YXnVb4LkYeeoQEQ+KSKrRGTVli1bIl5Sc0jKtfL6lZtiyUk4aeqMy0Sdze+e1oV75p6MJxafgXvmnlzzmH6yebeubUrmkiTegaLoS5G9OZpNUXQmCYqyhCFIZ559eYfv/kFyUhyyUM+40K4EZWaNkrE1T7imL36e6+XM0C7oDXFPZ5rN7KvuxWtD0cYi3/rQsYWOtVXTaCQi7wPwnKre7xX77Ko1tjVLPlKo+n1Vna6q0ydMmOC3S8tIyrUyT+lCOwNilwTJW0GaOgO40YnyK1O9s/lhz87vGPXEMgoiiXcgbX1JgqJ7czSbIugMkExdVpSU80XRGdI8XNcZtitu4Zq++HmuLzrHBBem3riBazrTTI6+9FeRlqS1twmuPLfYBiMgmqfRTABnicgGmKVjJ8N4HnWKSDn72sEAnrKfNwOYCAB2+z4AtnrlVb8Jkj8fcg5nSMq1Mk9xgN53zIGx5HnD1U5UI7P5C846CqUAZfQ7RjONqu1Mu9cUiuLNQZpHUnVZ0DvOd58Qt3GlXRkzyn+4EyQnyVHtud49rasuvXFxMpa4ywlX3ImXXq89eT1mVBv++YPHFN5gBEQwGqnqPFU9WFUnwwSyvktVZwO4G8AH7G4XAvi5/bzMfofdfpeqqpWfZ7OrHQrgcAB/BHAfgMNtprTR9hzL7G+CzuEMYa6VzSQodEEWQxrc/bC/e2OQPG+40omqphGvue5pXVjywWMCt/f1D1Q04M00qp5/wsTaO5GaMCAliUtSdVmePG0JKRKutCuMpZct4uqNq5OxxE1mX3VvpOXdAmD9wtNoMLI0YmL/MoAviMijMPGHfmjlPwSwr5V/AcBcAFDVdQBuBPAggF8B+IyqDtmYRZ8FsBwmO9uNdt+wczhDkGtlsxUsaNl1Fpdju9KJSAtXr79Rr7nuaV2hQbG9DXjUDGy1uGDGJCzsntrwcQgDUpL4JLVsLKheCatvCCHp0xmQ4S9ITggQvz/i6mQscY/ZV90baUkaADyx+IwWlyZbjKq9y25U9bcAfms/Pw6T+ax6n9cAfDDg91cAuMJHfgeAO3zkvudwje5pXbRCxuCgzg7fQUVRBqeuXv+cWVMw79a1FQ1vVK+5nt4+LFm+Hn39AxD4Bx8rN+De9+XipasbKjMNRs2jkecfBxGT+c5PTrJFu4ivt0+zl40lpZuEkOYS5AxIJ0ESRtw639XJWOIWPb19kQ1GMw8b3+LSZA8u5s0I4wJmZYLkLpPUkj5XcfX66/Ga6+ntw7TLf42Ll64eNoSF9QW9xrJGDa1JBk4vAkl5TXIQkR+SWjbWPa0L7z++a9gY1S6C9x/PyRpCXGfbwGAseavYc7S/Z3OQnKRL3P4IPaVJLWZfdW/kieo3jGnHdX/3jhaXKHvE8jQi/pS9LJ7qH8BBnR2YM2tK0zuzRx64t6919MgD927qeZKgfG9afc9cxeXr9/OaC9Lv8hryuFnQZl91Lz44fVJDbsOlNsGCs46q+/fEH3pNkjh0BXhNNnvZWE9vH265v2/YGDWkilvu78P0Q8YXQl9Lbf5L0Uuc9iOO44pn9UGde+CR5171lRM38fZHyv3QS5au9u0z0xuVhHHKt37r+/77ccDeo7Hyq6e0uETZhEajBunp7cOcm9dgcMh0Zvv6BzDn5jUAGvek8BLkThfVzY64RVYG59WGoXJwQcB/DXkU7nlsa0N6KwCWMJMBIalz0hETcO2Kjb7yZhIWr6II9UCeYhqSYuHKYD5owBh1IEnSI6wfWq7/XZ6MJekSx2A087Dx9DAKgUajBrnstnXDBqMyg0OKy25bx8oqgKQMbaRxggZrl922Di9uT9a9vIyCetIqkvCaJPkhqUyYjFdBSDbpntaFm1ZtrJgoOm7SPmxXCkzcfkbUSYOsTMaS5IhjMLry3GOpPzWgc3ODBA2c0xpQN4Oe3j7MXHwXDp17O2YuvqvpKSvDDG3ELYKyIKWt30yj2nyYspbEJSljztiAuCNBckKIG8zvWTvCs/iex7Zifs/alEpE0qSefkaz2plWj22IW8zvWRvLw4gGo9rQaEQqSGLgmEdDW15pdhakZkFjRvNhyloSl6TSab+6w38ZbJCcEOIGfstXw+Qk39TTz2hGkGu/sc0lS1fTeJlT5vesjVzH7NEuXJIWERqNGiQog1NWMztx4Fhsqmdimp0FqVlQJ5tPkFdZkJwQZsIjhBASlXq8hpqRcdhvbKMArluxkROQOaOnty+WUfrhK05vYWnyBY1GDbLgrKNQaqv0xshyZqcklht0BKR8CZKTZPCbiXEZxjMhJF36A9JmB8kJIYQUl3q8hrqndWHROVPR1dkBgcnOueicqbGWEwX1FxXgBGTOuHjp6kj7jRJgw+IzWlyafMFA2A2St4j9SaRH3aPUjgGftC97lBifoh6aFby43mxofkBKFgAAHWhJREFUaZF0yl5CSCUC0+n2kzeTsaU2bPdpM8ZyooEQQjJDlGx6QX3a7mldw9suWboaS5avr+jvhvWFg8Y2ACcg88TkubdH3vfRRTQYxYVGoyaQp4j9SaRHZUyj5tDT24cFy9ZVzOr7pSKNStYazman9SaExCNoFVqzV6d9/Zyj8YUbV2OX58BtYuSEEEKyQa2J9rLHe3kM4u3TAqhrW/e0LsyZNQWXLF3t2zY1cwKSGWjTI47BiB5G9UGjEakgb55TLtNI41LdsHqpTkUadh7vtjaRyDGMgjwMkqTZab0JIW7SPa0L37n7kYpMKIdN2JPtEiGEZIywifav3PrAiJUIA4ND+OKNa/CGjlGhMVeDtpXPt+rJrbhuxcaKvmszJ8X9DF5zblqDy25bh/7tgxxPtRAajJKBRiMygjx5TrlK2GyK1wU3yKBUaylZ2WsozqxNnKDXHQHLRZKkr38APb191FVCcs7sq+4dkTr3kedexeyr7mXWE0IIyQHze9YG9iuHVANXI4TF3/R60C/snorph4xv2aS4X798cNfucjeyEoAEQ4NRctBoREgK1MpSF2ZQAmovJduno4SZi+/ybUzDZmYAoD2Cx1HaBqMybIAJyT/3PLY1lpwQQki2uH7lprp+F+b5vk9VJutWTopHCfFQvRKANAYNRsnCKJKEeKhOOd+qVJxhWepqGZSA8DXYpTbBqzt21px9CSrDrgzly66+L4QQQgghJFvE8Xb3EvYraXZWhhCixkaqJ35oUmOTLEGDUfLQ06gJzL7q3ooZz5mHjafLfAaptWSsmYRlqQszKJXxC1gOmGxCr+3chV01HIEO6uzAq6/v9E2NHSe2kQtkLYA3IYQQQgjZTRQv986OEkSiJ87pbzDBTpzYo0H98mr8jEu1Yo8mNTbJCjQYpQM9jRqk2mAEGJf52Vfdm1KJSL1E8fBpFnNmTUFHqb1CVmoXvPr6zsBZk4M6O4ZnGy5ZuhpjRrVh3NgSBEBXZwcumDEJCqnIMBTESUdMwKs7dvpuy5LBCGhu5gtCCCGEEJIs558wseY+/QODsTItjx3dXnunAMrGmr7+ASh2G2uCvHy6p3Vh0TlT0dXZAYExcJXaK12d/AJv1zpPkmOTLECDUXrQ06hBGGshPwQt5wpb5lUv1VnqOseW8Mpr/p4/gFlydtIREypmG/oHBivWct/+wNM1ZzgA05Dd/fAWDA5lyzjkRzMzXxCSN5j+lxBCSNLEbXt6evt8M+K2AWgkgub2HbX7xEGEGWuCrqU6ZlKU+1DrPFFWHxSFOAajK889toUlKSY0GhGSAj29fbjstnXDMyb9A4MIdfAR4BdrRhqFyj+JatgSAO875kBct2Jj/EI7yKJzpnIQTIgPPb19mHPTGgxa18Ny+l+guC7thBBCWkvc5VTV+3tpdGqzkd83w1gTJfB2rfOEhbMoEnEMRjMPG89+Tgvg8jRCItDMAHQ9vX2Yc/OaChfbWivCBoc00AspDgrglvv70Dm2VHNfQkh2WbBs3bDBqMzgLsWCZetSKhEhhJC8E3c5ld/+ZRo1GrU3EAk7yCjTbGNNrfP4hbMompd9HIPR4fvvybjCLYJGI0Ii4F1rPOemNaGGo1pZDpYsX5/Y0jC/5nJgcAivRVjGlgXC1pcTUmSCjMzNMD4TQgghfsT10GnlMqsocZKCSMpYU+s81bGSujo7CuVlH8dgdMDeo3HnF05sXWEKDpenkREwDkY45dn6KG62fm659TaQ48aW8Nrgrkhxi8r7BwUMHBhsZJW4O9RaX54n+F4SQgghxGXiLqfqDOmrRmXmYeOxetM2vGpjGAmA2TMmYWH31LqPWR17tFX9rijnibLMLY/EMRgJgJVfPaV1hSG1jUYiMhHAjwG8ESYe2fdV9dsiMh7AUgCTAWwA8CFVfVFEBMC3AZwOYDuAi1T1T/ZYFwKYbw+9UFWvsfLjAfwIQAeAOwB8XlU16BwNXzUJhKkdoxE0Wx8lcF5Qg1qLS888Cque3IrrV26KlOFMFRWBsvNKEYIBlpc0lj3U+voHMOdmxqchwYj4L3ttwFufEFLF/J61w21yuwjOP2FiQwPVZuJy2Uh+8Us9H+Sh09Pbh1de88/kW/5dm2DYGOTH4fvviT9t3FZxvj1K7Zh+yPjA30SdhEvKWFNUo1AYcQxGAPAEM6W1nCjL03YC+KKqvgXADACfEZEjAcwF8BtVPRzAb+x3ADgNwOH275MAvgsA1gB0KYATALwdwKUiMs7+5rt23/LvTrXyoHOQFsHUjo0Rxf12zqwpI9JwAkBbhMHcLff3RTIYATa4to9cIp4rK6QdDLDWcsRmcNlt60YsaRwcUlx2G+PTEH+CqomI1QchpAbze9bi2hUbh9vkIVVcu2Ij5vesTblkbpeN5Js4y6mWLF8/IvZemc6OEhadM7VmBrRHt7waOm6p7qPN71kbmuKepE9cg9EGGowSoaankao+DeBp+/llEXkIQBeAswGcaHe7BsBvAXzZyn+sqgpghYh0isiBdt87VXUrAIjInQBOFZHfAniDqt5r5T8G0A3glyHnIC2CqR2jMS4gkHSQF9E+HSXMXHwX+voH0C6CIVW0CVBuK8eW2vBajSVjlyxd3RSvIUV+Bo5pBwNMyjMvyHW7UZdukl86O0q+HpGdHQyCT0gz+OlK/yykP125MXWPnutXbgqUp102kn+ies6EjS32HDMK3dO6sGT5+lDv/KD+7FP9A759tGt9sgcXKdSB69Bg5C6xAmGLyGQA0wCsBHCANSiVDUv72926AHhbq81WFibf7CNHyDmqy/VJEVklIqu2bNkS55JIFUllC0ibRnSm1C649MyjfLf5BbQrtQle3bFzuNErz/ztUuPxc8GMSRgY3IVaUYaaZecZW2rLzcAxqWCAQfpCzzwSRNrt0suv+RsUg+QkfdLWGRKPAAeJQHkrCNKZII/kqJ7KJJ8kVccEeWBXyztKwcPQcp/5pCMm1FWGzrGl0Mxsfudrpcd4VkmyXaLByG0iG41EZC8AtwC4WFVfCtvVR6Z1yCOjqt9X1emqOn3ChPoqF2IIqpzrrbRdxU9nwl4Gr5vtkg8cM8JQUW4IL1m6GntYo0x5/9Gj2gKzpe1S4NoVGxONO7R9cBd27Mx+9jRBcvF8guqYpDzzgox8eTH+5ZG026WgBI0JJW4kdZC2zpDsEaQzQbHLGNOs2CRRx5S9e7zLvy5euhpv+b+/xJyb11TIt9fwsD907u2BXnNlSm3wDfmwbftg7PihXK42kqTaJRqM3CeS0UhESjAGo+tU9VYrftYuO4P9/5yVbwbgzXF4MICnasgP9pGHnYO0iLsf9rciB8nzRFjT9cy213wNOz29fZh2+a9x8dLVww3hi9sHh+MJbd+xMzSAX1rUaqizgAtj36Q88xacddSIyrrNygkhhBAvHaP8u/dBckKaRZB3z8DgrsAJ1CAUtb3jBnfB97i74O+VEIWBwSF88cY19DxKCBqMskHN1sNmQ/shgIdU9VueTcsAXGg/Xwjg5x75R8UwA8A2u7RsOYD3isg4GwD7vQCW220vi8gMe66PVh3L7xykRTCmkT/lRqs8YzLt8l8PB9MLiyvDmDOto92BKdNEPfOqLzf9yyeEkMLisjfPQMDEUJCckDiEJQBxabygwIiQEVEZUq3b8yiJBCl5gQaj7BBlymEmgI8AOFlEVtu/0wEsBnCKiDwC4BT7HQDuAPA4gEcBXAXg0wBgA2B/DcB99u/yclBsAJ8C8AP7m8dggmAj5BykRRQlplGjvLh9ENet2Bh5rTRpPi7EZvj/27v7GDnq+47jn++t9+DsBu5cnAovGDChjnCNfcbCpm7SxhE2D8Ecj4ZAg5oqkdr8EZrK1UVJa0vBgdSK61aNhKKWKhGEEKClbqQqRQ00qhUe7GAChCfzkIBBsQuBWMaKje/XP2b22L2d2dvZm535zez7Ja1u73d7u9+Z/c7Tb34PWbXM27zj6ZZxMiZcUA4AyJ7PMxSeGNN1Oa4c6FRU97PGShXfrheuPLc24678ScaqnG794H1UGBVLJ7On/a/i72l/POL1TtLnYt7rdkm3R5TvkvR7EeVvRn0GemfjukVNMw1I+c9Q5SsPzgv7mg8tjbJqmRc1C1a7cgBAbzXOgDq1PG8+t4JCsU03Acih37yXR1ix7tu9L5VtstPzunbrh9nZ3vehL1JhVDTTVhqhv9R3aFt/8Jxef/uw5g8PaeO6Rezo4B0fWhrNHx6KHGjRtzttAIB0+TB7Wpy4rvF0mcdMxVWe7Hv7sDbe+0TicYt6La0eAZ2e1zHMx/RoYVRMVBqhxdhojUoieK/mQcXM7MHoHr5x5QAAAEUVd7NMih6QugyS9LjgZmJ7VBgVF1c2aMEAbiiCt989kntuvrD/UKJyAACAotq4blHXg0sXSW14SBb+vOWKJR3fTI9aPwzzEVi55YFEr6fCyC+0NEKT+gBu9eac9QHcJNH6CF45dOQYuYlYcwYrOnSktVn6nMHyn+wCAJCm+x/fNzl0xfDsaqEmgok7H4gzMruqneNruvoshvmIdsG2h/TLg0c6fj0VRv6h0ghNGMANRUJuIs7ly2u64+FfRJYDAIDOTL2hXLSxsd5NUGFUrZg2Xbp4Rp/HMB+tkrTAp8LIT3RPQxMGcEPRkJuI8uCzBxKVA0ASzFCGfhF1Q9knQ9WKtm9YFjvW5fzhobbjYFbMJruibb1qKRU+KUsyjhEVRv6ipRGaMIAbiobcRBQqwAH00u8vnKudL74VWQ6USRbHzeqA6WgXUw/Org7oqw1jDjW2iJKaxxO66e49ke8x4ZxeprKiJ6gwKg9aGqFJFgO4HTcrOu3iyoE4DC6IOHGViVQyAkjDK29GX0jHlQNFleS4WWnT1G52dUDVSuvfh4eq2nr10rbXAdUB0+oz506+f8VMN6xaoJ995aLJCqOx0ZpuuWJJ5CDWY6M1DQ9VZ7x86BwVRuVCSyM0yWIAt69deY6+8L09aryhMGBBOdAJkxhcEG1tXLeo7R3HPDUOKEoeA8VEa0b0i6jjabViklNT66ChakVXnlvT3Y++2tJqqFoxffWKc7Tr52/prkde1THnVDHTdStP1c1jSyRJfxHTEkiStl7dWbexduMJbV6/2NvzgrKhwqh8qDRCi14P4DY2Wos8aHDRlK1ZA6b3IpoCV8w04ZzmDw9p/68P6+hEDsG1MVgxPb/l4rzDgOd8ncGEGSqBcqA7P/pF3PE0qmxstKYVp83V5h1P6+3DwYDZI7Ork4NL37d7n4654NzzmHO6b/c+rThtrsZGa7HbVG14KJXjo6/nBWVDhVE5UWmEzN3/+L62Bw1k470Jp8qA6diUu0S3NPQNv//xfS2twvJ29JhHwcBrPs5gwgyVQDn43JoRSFvc8TSuLKp89a0/bHv8y2Kb8vG8oEySVBgdH9FVEf5iEBlkrt1FE7I1MeEi+37XjY3WtO2a+Bkp8sBdXBQZXVqAcmg3fgoQJe4SuV8unac7/rFNFVuSCiNJepZeA4VCSyNkrp8vmkZmV3XJOSfrjod/kcnn1cf+iWruK0lO0s7xNW3fo35XZmq3mrrhoepkE+Re4y4uio4uLUB50GoBScS1k+6X9tOdHP/YpoopaYUR3dKKh5ZGMxTXAsOnlhm+6cdZjSpm2r5hmR7/m7VacVo20/HWhof08q2XaOf4mtjZLNrNcjFV1B2g7RuWac+mtbEzUqRpeKjKHScUXhYzVAIA/NPv1wwc/8rpDCqM+gKVRjPEDjC5fltnQ9WKvn7N0qYB+OJUzDSYQh/fasWa1ud1K0+NfF1ceZyx0Zp2jq+ZrIyqL9Pm9YtVHWgfd/2vteEhnfXBOYk+V5LmHDfLuwqjfm9qjuRofg8A/anfzn+n4vhXPhdseyhRSzkqjIqL7mkzxEj8yRV5nQ2YdMLxVb1z+KjmDw/pYx+e17arWS1i2dp1w/v6NUslqaPBpwdM+uTKBbGzVDR+Zn0607hpTmcq6jv92Ifn6cFnD0R+x3Fd3drxsfviiTFd807MoOVVUW3fsEw3RUyru33DshyiyQfN7/0zZ7CiQ0da90dzBisRrwZQJLU2s3Jlqcjnv2nh+FceX77/Sb2w/1DHr6fCqNioNEoBO8DkirrOnJP2bFrbVPbgswdiT0aixguK69M9MrvatE46rYCROpuq++axJalVEkVJ8p1GDYYuBS2tThiapV+921oR42P3xbixnNIe4ylu3KgsugWmjZNm+GjL5Uv0l/c80TSbZGXAtOXy3u0z+1GZ9mUoDp9muivq+S/Q6IJtD3VcYbR9wzJyvgSoNCoIX+6S9LuoioukJyNxr9906eLJ38t+UhHXamjCOW26dLE3J3fTqZjpmGttEpZkrKhObF6/WBvveUJHGy5oqwOmzesXt/kvf5U9v1E8VGZmo2z7MhQD2zeQniQtjKgwKg8qjQrCp7sk/SpufSc9GeHkpf0MGkVaP1EVRu3Ku1WkdQKkLaubJlRm9h77MuSF7RtIx12PvNrR625YtYBtrkSoNCoITrTyFTU2UaOkJyP9fvIyXSVoUdZPli0Ai7JOgLRx06Rc2JcBQHF1cmP0hlULejokBrJHpVGBcKKVn6ixidC9slSCcjELX43MrkaODTYyO72xYwZMkQP2TzORYmJl2V8AWTELxmCMKs9SFvshANmKG5pBCmYP/ju6pJXSQN4BTMfMLjSz58xsr5mNJ/nf1WfOTVSO/ka+ZGtstKad42v08q2XaOf4mkIeYMo0fSz5Xy6bLl2saqX5CrFasaax02bqkysXJCqfiTLsL7rFtomkro/ZBuPKeyWL/RBmjn0Mkrhu5amR5VQYlZvXlUZmVpH0DUkXSTpb0nVmdnan/3/nZ85v2eGtPnOu7vzM+anGiXIgX9CNslzMkv/lMjZa09arljZVaG69ammq+Xnz2BLdsGrB5MDvFTOapPcA2yaS8mXbzGI/hJljH4Mk6vuXxurgOYMVKoxKzvfuaedJ2uuce0mSzOy7ki6T9LNO34AdHpIgX9DPyP9yyaJL881jS6gkygDbJpLyZdtkaIViYB+DJHzZvyA7Xrc0klST1DhE+2thWRMz+6yZ7TKzXQcOHMgsOBQXOYMkyBckRc4gKXIGSZEzSIJ8QVLkDOp8rzSKGrKvZeQt59w3nXMrnHMr5s2bl0FYKDpyBkmQL0iKnEFS5AySImeQBPmCpMgZ1PleafSapMbRtk6R9HpOsQAAAAAAAPQN3yuNHpN0lpmdYWaDkq6VtCPnmAAAAAAAAErPnGvp7eUVM7tY0nZJFUm3O+e2TPP6A5J+HvGnkyT9X/oR5qIfluU051wm7SBjcqZI65hYA5nkDPuYQsp1P0POFI6vxyWpP9ZzEZEzxeH7+uC41DliDWSVMwclPdfrzymwouRjV/nifaVRWsxsl3NuRd5xpIFl6T1f44pCrH4o07KVaVkkf5fH17i6wbJkw+fYkmJZsuFzbHlgfbRXpPVDrNkqwzL0UtnXj+/d0wAAAAAAAJADKo0AAAAAAADQop8qjb6ZdwApYll6z9e4ohCrH8q0bGVaFsnf5fE1rm6wLNnwObakWJZs+BxbHlgf7RVp/RBrtsqwDL1U6vXTN2MaAQAAAAAAoHP91NIIAAAAAAAAHaLSCAAAAAAAAC1KX2lkZhea2XNmttfMxvOOp1tmdqqZPWhmz5jZ02b2+bxjmikzq5jZ42b2/Qw+63Yz229mTzWULTWzH5vZk2b2H2Z2Qlh+upkdNrM94eO2hv85N3z9XjP7BzOznGO9viHOPWY2YWbLwr89FOZ+/W8f7EGskXlpZnPN7AEzeyH8ORKWW7je9prZT81secN73Ri+/gUzuzHtWHuJ/Yy/stzPJEHO+Iuc6a2oY1wR+Z77ZcmXNPj+XfnAt3xJ8/wyw5ibjh1mdoaZPRLGereZDYblx4W/7w3/fnrWsSblW36kzcxeCa+x9pjZrrAstWsZi7l+jPsMLznnSvuQVJH0oqSFkgYlPSHp7Lzj6nJZTpa0PHz+AUnPF3VZGpbpC5K+I+n7GXzWRyUtl/RUQ9ljkv4wfP5pSV8Jn5/e+Lop7/OopPMlmaT/lHRRnrFO+b8lkl5q+P0hSSt6vF4j81LS30oaD8vHJX0tfH5xuN5M0ipJj4TlcyW9FP4cCZ+P5J2jHa4D9jMeP7Lcz5Az5Aw509GytBzjivjwOffLlC9l/658ePiYL2mdX2Ycc9OxQ9L3JF0bPr9N0p+Fz/9c0m3h82sl3Z13DhQtP3qwjK9IOmlKWWrXMoq5foz7DB8fZW9pdJ6kvc65l5xzRyR9V9JlOcfUFefcG865n4TPD0p6RlIt36i6Z2anSLpE0j9l8XnOuR9JemtK8SJJPwqfPyDpynbvYWYnSzrBOfdjF2zd35Y05lGs10m6K+142mmTl5dJ+lb4sm/p/fV0maRvu8DDkobD9bpO0gPOubecc79SsIwXZrgoM8F+xlNZ72cSIGc8Rc70XswxrnA8z/3S5EsaPP+ufOBdvqR4fpmJqceOsCXJGkn3xsRaX4Z7JX283vLEU97lR0ZSuZaZ5vox7jO8U/ZKo5qkVxt+f00lOEiEzRhHJT2SbyQzsl3SX0mayDGGpyStD59fLenUhr+dETYx/R8z+0hYVlOQQ3VZ5lO7WOs2qLXS6F/CppZ/3esD0pS8/B3n3BtScOCXVO8aF7dNFnlbLXLssdjP9BQ54y9yBol5mPvkSwwPvysfeJ0vMzy/zMrUY8dvS3rbOfdeRDyTsYZ/fyd8va/yXrdZcJL+y8x2m9lnw7K0rmXaXT/GfYZ3yl5pFHWR7DKPIkVm9luS7pN0k3Pu13nH0w0z+4Sk/c653TmH8mlJnzOz3Qqavh4Jy9+QtMA5N6qwqakFYwjlmU9xsUqSzGylpHedc41jRFzvnFsi6SPh4497FVyCvIxbh0XeVosceyT2Mz1HzniInEE3PM198iWCp9+VD7zNlxTOL3su5tjRLh5v13eMosXbjdXOueWSLlJwvfXRNq9Nei1TivVX9kqj19TcIuMUSa/nFMuMmVlVwY7zTufcv+YdzwyslrTezF5R0MRxjZndkXUQzrlnnXNrnXPnKmih82JY/hvn3Jvh891h+e8qyKdTGt4is3yKi7XBtZrSysg5ty/8eVBBH+vzehFbTF7+st4sOPy5PyyP2yaLvK0WOfYW7GcyQc74iZxBIh7nPvkyhcfflQ+8zJeUzi+z0HLsUNDyaNjMZkXEMxlr+PcT5XeXXS/zI03OudfDn/sl/ZuCa6a0rmXaXT/GfYZ3yl5p9Jiks8LR6wcVXFjvyDmmroRdi/5Z0jPOuW15xzMTzrkvOudOcc6druA7+aFz7oas47BwNjEzG5D0ZQWD1MnM5plZJXy+UNJZCgaYfkPSQTNbFX4fn5L073nG2lB2tYIDVb1slpmdFD6vSvqEgi5uaccVl5c7JNVnDbhR76+nHZI+Fc48sErSO+F6/YGktWY2Es4csDYsKwL2Mx7yZT8Tg5zxEDmDJDzPffKlgefflQ+8y5cUzy97LubYcb2kByVdFRNrfRmuCl/vc8sT7/IjTWY2x8w+UH+u4BrkKaV0LTPN9WPcZ/jHeTAady8fCkY4f15By4wv5R3PDJbjDxQ0ZfuppD3h4+K840phuf5I2cyedpeCbmdHFdT4/qmkz4e58bykWyVZ+NorJT2tYHaAn0i6tOF9VijYkbwo6R/r/5NXrA3r8OEp7zFH0u4wX56W9PeSKlnlpYK+2f8t6YXw59zw9SbpG+H6e1INs7sp6IK3N3z8Sd65mXA9sJ/x+JHVfiZhTOSMxw9ypqfL0XKMyzumLpfD69wvS770w3flw8O3fEnz/DLjuCePHQpmG3s0PK+9R9JxYfnx4e97w78vzHt9Fy0/Ul62hQqu+Z5QcM30pbA8tWsZxVw/xn2Gj496wAAAAAAAAMCksndPAwAAAAAAQBeoNAIAAAAAAEALKo0AAAAAAADQgkojAAAAAAAAtKDSCAAAAAAAAC2oNAIAAAAAAEALKo0AAAAAAADQ4v8BeyxAR2BzoDcAAAAASUVORK5CYII=\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(10, 8, sharey=True, figsize=(16, 22))\n", "plt.tight_layout()\n", "\n", "for y, row in enumerate(ax):\n", " for x, col in enumerate(row):\n", " #for column in train.columns:\n", " column = (train.columns[(train.columns != 'Id')])[x * 10 + y]\n", " col.scatter(train[column], train['SalePrice'])\n", " col.set_title(column)" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(10, 8, sharey=True, figsize=(16, 22))\n", "plt.tight_layout()\n", "\n", "for y, row in enumerate(ax):\n", " for x, col in enumerate(row):\n", " #for column in train.columns:\n", " column = (train.columns[(train.columns != 'Id') & (train.columns != 'SalePrice')])[x * 8 + y]\n", " col.hist(train[column], bins = 20)\n", " col.set_title(column)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Linear Regressor" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The following section creates the training set of significant features only, using a significance level of 0.20. This was determined using the p-value for each feature from statsmodels." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "X_train = train.drop(['SalePrice','ExterCond','Heating', 'YearBuilt', 'Exterior1st', 'Exterior2nd', 'Foundation',\n", " 'BsmtFinType2', 'BsmtFinSF2', 'CentralAir', 'BsmtHalfBath', 'GarageFinish', 'PavedDrive',\n", " 'OpenPorchSF', 'EnclosedPorch', 'MiscVal', 'YrSold','LotShape', 'BsmtUnfSF',\n", " 'FireplaceQu', 'MiscFeature', 'TotalBsmtSF', 'Fence', 'GarageYrBlt','Id',\n", " 'BsmtFinType1', 'MSZoning', 'LandSlope', 'HalfBath', 'FullBath',\n", " 'GarageType', 'GarageArea', '3SsnPorch'], axis=1)\n", "\n", "y_train = train['SalePrice']" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\mkive\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\numpy\\core\\fromnumeric.py:2389: FutureWarning: Method .ptp is deprecated and will be removed in a future version. Use numpy.ptp instead.\n", " return ptp(axis=axis, out=out, **kwargs)\n" ] }, { "data": { "text/html": [ "\n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "
OLS Regression Results
Dep. Variable: SalePrice R-squared (uncentered): 0.977
Model: OLS Adj. R-squared (uncentered): 0.976
Method: Least Squares F-statistic: 1310.
Date: Sat, 14 Dec 2019 Prob (F-statistic): 0.00
Time: 20:49:42 Log-Likelihood: -17135.
No. Observations: 1460 AIC: 3.436e+04
Df Residuals: 1415 BIC: 3.460e+04
Df Model: 45
Covariance Type: nonrobust
\n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "
coef std err t P>|t| [0.025 0.975]
MSSubClass -247.2859 38.939 -6.351 0.000 -323.670 -170.902
LotFrontage -139.3097 45.949 -3.032 0.002 -229.445 -49.174
LotArea 0.1712 0.096 1.792 0.073 -0.016 0.359
Street 1.846e+04 1.33e+04 1.391 0.165 -7580.362 4.45e+04
Alley 1317.2931 721.749 1.825 0.068 -98.520 2733.106
LandContour 4159.7639 1909.687 2.178 0.030 413.642 7905.886
Utilities 6.648e+04 3.07e+04 2.167 0.030 6298.196 1.27e+05
LotConfig 1211.4275 711.713 1.702 0.089 -184.699 2607.554
Neighborhood 2011.6360 200.262 10.045 0.000 1618.793 2404.479
Condition1 2078.0749 853.216 2.436 0.015 404.370 3751.780
Condition2 -8660.7583 3259.623 -2.657 0.008 -1.51e+04 -2266.545
BldgType -6451.6717 2082.141 -3.099 0.002 -1.05e+04 -2367.256
HouseStyle -898.1754 662.816 -1.355 0.176 -2198.383 402.032
OverallQual 9791.2259 1157.685 8.458 0.000 7520.263 1.21e+04
OverallCond 4628.5020 841.871 5.498 0.000 2977.052 6279.952
YearRemodAdd -68.3127 20.192 -3.383 0.001 -107.922 -28.703
RoofStyle 2352.2783 726.124 3.239 0.001 927.883 3776.674
RoofMatl 8458.8767 2039.926 4.147 0.000 4457.273 1.25e+04
MasVnrType 1317.2931 721.749 1.825 0.068 -98.520 2733.106
MasVnrArea 1317.2931 721.749 1.825 0.068 -98.520 2733.106
ExterQual 1.029e+04 2466.343 4.172 0.000 5451.812 1.51e+04
BsmtQual 6845.5537 1841.102 3.718 0.000 3233.971 1.05e+04
BsmtCond -5069.1691 2365.953 -2.143 0.032 -9710.321 -428.017
BsmtExposure 5065.2581 946.282 5.353 0.000 3208.991 6921.525
BsmtFinSF1 12.3947 2.671 4.641 0.000 7.156 17.633
HeatingQC 1344.9593 1049.922 1.281 0.200 -714.611 3404.530
Electrical -3772.2628 2306.655 -1.635 0.102 -8297.093 752.567
1stFlrSF 24.8400 5.138 4.835 0.000 14.762 34.918
2ndFlrSF 23.5145 4.777 4.922 0.000 14.144 32.885
LowQualFinSF -22.6692 13.165 -1.722 0.085 -48.495 3.156
GrLivArea 25.6853 4.938 5.202 0.000 15.999 35.371
BsmtFullBath 4512.6457 2127.529 2.121 0.034 339.197 8686.095
BedroomAbvGr -4169.2805 1526.698 -2.731 0.006 -7164.114 -1174.447
KitchenAbvGr -2.394e+04 5871.493 -4.077 0.000 -3.55e+04 -1.24e+04
KitchenQual 9010.1526 1953.454 4.612 0.000 5178.175 1.28e+04
TotRmsAbvGrd 4141.6833 1105.322 3.747 0.000 1973.437 6309.930
Functional 3904.7472 1017.355 3.838 0.000 1909.060 5900.434
Fireplaces 3955.9804 1558.871 2.538 0.011 898.034 7013.927
GarageCars 1.139e+04 1800.307 6.324 0.000 7853.957 1.49e+04
GarageQual 4404.4419 3364.396 1.309 0.191 -2195.298 1.1e+04
GarageCond -4603.8004 1437.989 -3.202 0.001 -7424.619 -1782.981
WoodDeckSF 21.5810 7.140 3.022 0.003 7.574 35.588
ScreenPorch 49.0476 15.107 3.247 0.001 19.413 78.683
PoolArea -251.1118 44.214 -5.679 0.000 -337.844 -164.379
PoolQC 7.861e+04 1.27e+04 6.180 0.000 5.37e+04 1.04e+05
MoSold -404.5408 303.742 -1.332 0.183 -1000.374 191.292
SaleType 4005.7246 833.371 4.807 0.000 2370.949 5640.500
SaleCondition 2571.5147 1044.663 2.462 0.014 522.260 4620.769
\n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "
Omnibus: 423.579 Durbin-Watson: 1.922
Prob(Omnibus): 0.000 Jarque-Bera (JB): 39183.404
Skew: -0.250 Prob(JB): 0.00
Kurtosis: 28.374 Cond. No. 1.21e+16


Warnings:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The smallest eigenvalue is 2.15e-21. This might indicate that there are
strong multicollinearity problems or that the design matrix is singular." ], "text/plain": [ "\n", "\"\"\"\n", " OLS Regression Results \n", "=======================================================================================\n", "Dep. Variable: SalePrice R-squared (uncentered): 0.977\n", "Model: OLS Adj. R-squared (uncentered): 0.976\n", "Method: Least Squares F-statistic: 1310.\n", "Date: Sat, 14 Dec 2019 Prob (F-statistic): 0.00\n", "Time: 20:49:42 Log-Likelihood: -17135.\n", "No. Observations: 1460 AIC: 3.436e+04\n", "Df Residuals: 1415 BIC: 3.460e+04\n", "Df Model: 45 \n", "Covariance Type: nonrobust \n", "=================================================================================\n", " coef std err t P>|t| [0.025 0.975]\n", "---------------------------------------------------------------------------------\n", "MSSubClass -247.2859 38.939 -6.351 0.000 -323.670 -170.902\n", "LotFrontage -139.3097 45.949 -3.032 0.002 -229.445 -49.174\n", "LotArea 0.1712 0.096 1.792 0.073 -0.016 0.359\n", "Street 1.846e+04 1.33e+04 1.391 0.165 -7580.362 4.45e+04\n", "Alley 1317.2931 721.749 1.825 0.068 -98.520 2733.106\n", "LandContour 4159.7639 1909.687 2.178 0.030 413.642 7905.886\n", "Utilities 6.648e+04 3.07e+04 2.167 0.030 6298.196 1.27e+05\n", "LotConfig 1211.4275 711.713 1.702 0.089 -184.699 2607.554\n", "Neighborhood 2011.6360 200.262 10.045 0.000 1618.793 2404.479\n", "Condition1 2078.0749 853.216 2.436 0.015 404.370 3751.780\n", "Condition2 -8660.7583 3259.623 -2.657 0.008 -1.51e+04 -2266.545\n", "BldgType -6451.6717 2082.141 -3.099 0.002 -1.05e+04 -2367.256\n", "HouseStyle -898.1754 662.816 -1.355 0.176 -2198.383 402.032\n", "OverallQual 9791.2259 1157.685 8.458 0.000 7520.263 1.21e+04\n", "OverallCond 4628.5020 841.871 5.498 0.000 2977.052 6279.952\n", "YearRemodAdd -68.3127 20.192 -3.383 0.001 -107.922 -28.703\n", "RoofStyle 2352.2783 726.124 3.239 0.001 927.883 3776.674\n", "RoofMatl 8458.8767 2039.926 4.147 0.000 4457.273 1.25e+04\n", "MasVnrType 1317.2931 721.749 1.825 0.068 -98.520 2733.106\n", "MasVnrArea 1317.2931 721.749 1.825 0.068 -98.520 2733.106\n", "ExterQual 1.029e+04 2466.343 4.172 0.000 5451.812 1.51e+04\n", "BsmtQual 6845.5537 1841.102 3.718 0.000 3233.971 1.05e+04\n", "BsmtCond -5069.1691 2365.953 -2.143 0.032 -9710.321 -428.017\n", "BsmtExposure 5065.2581 946.282 5.353 0.000 3208.991 6921.525\n", "BsmtFinSF1 12.3947 2.671 4.641 0.000 7.156 17.633\n", "HeatingQC 1344.9593 1049.922 1.281 0.200 -714.611 3404.530\n", "Electrical -3772.2628 2306.655 -1.635 0.102 -8297.093 752.567\n", "1stFlrSF 24.8400 5.138 4.835 0.000 14.762 34.918\n", "2ndFlrSF 23.5145 4.777 4.922 0.000 14.144 32.885\n", "LowQualFinSF -22.6692 13.165 -1.722 0.085 -48.495 3.156\n", "GrLivArea 25.6853 4.938 5.202 0.000 15.999 35.371\n", "BsmtFullBath 4512.6457 2127.529 2.121 0.034 339.197 8686.095\n", "BedroomAbvGr -4169.2805 1526.698 -2.731 0.006 -7164.114 -1174.447\n", "KitchenAbvGr -2.394e+04 5871.493 -4.077 0.000 -3.55e+04 -1.24e+04\n", "KitchenQual 9010.1526 1953.454 4.612 0.000 5178.175 1.28e+04\n", "TotRmsAbvGrd 4141.6833 1105.322 3.747 0.000 1973.437 6309.930\n", "Functional 3904.7472 1017.355 3.838 0.000 1909.060 5900.434\n", "Fireplaces 3955.9804 1558.871 2.538 0.011 898.034 7013.927\n", "GarageCars 1.139e+04 1800.307 6.324 0.000 7853.957 1.49e+04\n", "GarageQual 4404.4419 3364.396 1.309 0.191 -2195.298 1.1e+04\n", "GarageCond -4603.8004 1437.989 -3.202 0.001 -7424.619 -1782.981\n", "WoodDeckSF 21.5810 7.140 3.022 0.003 7.574 35.588\n", "ScreenPorch 49.0476 15.107 3.247 0.001 19.413 78.683\n", "PoolArea -251.1118 44.214 -5.679 0.000 -337.844 -164.379\n", "PoolQC 7.861e+04 1.27e+04 6.180 0.000 5.37e+04 1.04e+05\n", "MoSold -404.5408 303.742 -1.332 0.183 -1000.374 191.292\n", "SaleType 4005.7246 833.371 4.807 0.000 2370.949 5640.500\n", "SaleCondition 2571.5147 1044.663 2.462 0.014 522.260 4620.769\n", "==============================================================================\n", "Omnibus: 423.579 Durbin-Watson: 1.922\n", "Prob(Omnibus): 0.000 Jarque-Bera (JB): 39183.404\n", "Skew: -0.250 Prob(JB): 0.00\n", "Kurtosis: 28.374 Cond. No. 1.21e+16\n", "==============================================================================\n", "\n", "Warnings:\n", "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", "[2] The smallest eigenvalue is 2.15e-21. This might indicate that there are\n", "strong multicollinearity problems or that the design matrix is singular.\n", "\"\"\"" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# with statsmodels\n", "X = sm.add_constant(X_train) # adding a constant\n", " \n", "model = sm.OLS(y_train, X_train).fit()\n", "predictions = model.predict(X_train) \n", " \n", "model.summary()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This step fits and predicts a linear regression model using significant features, then generates a submission csv. The linear regressor produced an RMSE of 0.22857." ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "55661.29093720041\n", "[-2.48434887e+02 -1.40262431e+02 1.69755716e-01 1.80223168e+04\n", " 1.31026507e+03 4.15367807e+03 6.34090334e+04 1.21708288e+03\n", " 2.01731937e+03 2.08662493e+03 -8.83185494e+03 -6.54120891e+03\n", " -8.56142656e+02 9.81161161e+03 4.72444317e+03 -9.47123501e+01\n", " 2.33056438e+03 8.39515391e+03 1.31026507e+03 1.31026507e+03\n", " 1.03738745e+04 7.02554891e+03 -5.23947050e+03 5.07594253e+03\n", " 1.23164127e+01 1.45373962e+03 -3.62836975e+03 2.48925385e+01\n", " 2.35932595e+01 -2.28480719e+01 2.56377263e+01 4.55322285e+03\n", " -4.20376227e+03 -2.41280980e+04 9.20224710e+03 4.14332833e+03\n", " 3.84810804e+03 3.89143724e+03 1.14380297e+04 4.32674961e+03\n", " -4.60533306e+03 2.16847910e+01 4.86214636e+01 -2.51148937e+02\n", " 7.87154951e+04 -4.04714548e+02 4.02205766e+03 2.59602296e+03]\n" ] } ], "source": [ "regressor = LinearRegression() \n", "regressor.fit(X_train, y_train) #training the algorithm\n", "\n", "#Coefficient:\n", "print(regressor.intercept_)\n", "#For retrieving the slope:\n", "print(regressor.coef_)\n", "\n", "test = removena(test)\n", "test = encode_test()\n", "for nacolumn in test.loc[:, test.isna().any()].columns:\n", " test[nacolumn].fillna(test[nacolumn].mode()[0], inplace=True)\n", " \n", "y_pred = regressor.predict(test.drop(['ExterCond','Heating', 'YearBuilt', 'Exterior1st', 'Exterior2nd', 'Foundation',\n", " 'BsmtFinType2', 'BsmtFinSF2', 'CentralAir', 'BsmtHalfBath', 'GarageFinish', 'PavedDrive',\n", " 'OpenPorchSF', 'EnclosedPorch', 'MiscVal', 'YrSold','LotShape', 'BsmtUnfSF',\n", " 'FireplaceQu', 'MiscFeature', 'TotalBsmtSF', 'Fence', 'GarageYrBlt','Id',\n", " 'BsmtFinType1', 'MSZoning', 'LandSlope', 'HalfBath', 'FullBath',\n", " 'GarageType', 'GarageArea', '3SsnPorch'], axis=1))\n", "\n", "submission = pd.concat([pd.Series(test.Id), pd.Series(y_pred)], axis=1)\n", "submission.columns = ['Id', 'SalePrice']\n", "pd.DataFrame(submission).to_csv(\"submission.csv\", index=False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Random Forest Regressor" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Random Forest Regressor producted an RMSE of 0.14782." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Import random forest regressor\n", "from sklearn.ensemble import RandomForestRegressor\n", "\n", "rf = RandomForestRegressor(n_estimators = 1000, random_state = 42)\n", "# Train the model on training data\n", "rf.fit(train.drop(['SalePrice', 'Id'], axis=1), y_train);\n", "# Use the forest's predict method on the test data\n", "predictions = rf.predict(test.drop(['Id'], axis=1))\n", "\n", "submission_rw = pd.concat([pd.Series(test.Id), pd.Series(predictions)], axis=1)\n", "submission_rw.columns = ['Id', 'SalePrice']\n", "submission_rw.head()\n", "pd.DataFrame(submission_rw).to_csv(\"submission_rw.csv\", index=False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Gradient Boosting Regressor" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Gradient Boosting Regressor producted an RMSE of 0.13507" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Import GradientBoostingRegressor\n", "\n", "gradient_boosting_regressor = GradientBoostingRegressor(random_state = 42)\n", "# Train the model on training data\n", "gradient_boosting_regressor.fit(train.drop(['SalePrice', 'Id'], axis=1), y_train);\n", "# Use the forest's predict method on the test data\n", "predictions = gradient_boosting_regressor.predict(test.drop(['Id'], axis=1))\n", "\n", "submission_gbf = pd.concat([pd.Series(test.Id), pd.Series(predictions)], axis=1)\n", "submission_gbf.columns = ['Id', 'SalePrice']\n", "submission_gbf.head()\n", "pd.DataFrame(submission_gbf).to_csv(\"submission_gbf.csv\", index=False)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.3" } }, "nbformat": 4, "nbformat_minor": 2 }