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@georgwiese
Last active March 1, 2023 03:06
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
" from ._conv import register_converters as _register_converters\n"
]
}
],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"import tensorflow as tf\n",
"import math"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import matplotlib.pyplot as plt\n",
"from IPython.display import Math"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"plt.rcParams['figure.figsize'] = [15, 8]\n",
"plt.rcParams['font.size'] = 12"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"SEED = 12345\n",
"np.random.seed(SEED)\n",
"tf.set_random_seed(SEED)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Introduction"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In this tutorial, we build a simple model to predict temperatures. The kicker will be that besides computing a temperature prediction, the model will also output a standard deviation. See the corresponding [blog post](https://scalableminds.com/blog/MachineLearning/2018/07/gaussian-regression/) for more information.\n",
"\n",
"Having an associated standard deviation has several advantages, including:\n",
"- It quantifies the certainty of the model. This is common in for classification models, which often output probabilities associated with each class. By outputting a normal distribution instead of a single prediction, we achieve the same thing for a regression model.\n",
"- We can use it to run simulations.\n",
"\n",
"This notebook is designed to be self-contained and simplifies a lot:\n",
"- We use a simple linear model. However, since it is implemented as a TensorFlow model and trained just like a deep neural network, the approach can be easily extended to more complex neural networks. For example, since we are working with time series data, using a recurrent neural network would be a natural choice.\n",
"- We use some very basic features. In order to get more accurate temperature predictions, we could come up with more features and integrate more data sources.\n",
"- We do not bother to split our data into train and test sets. In practice, this would be important in order to fight overfitting.\n",
"- We also ignore things like feature normalization and do not explore training hyperparameters."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Get Data"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In this tutorial, we'll use a dataset of minimum temperatures in Melbourne ([source](https://datamarket.com/data/set/2324/daily-minimum-temperatures-in-melbourne-australia-1981-1990#!ds=2324&display=line)). A cleaned version of the CSV is shared as part of the [Gist](https://gist.github.com/georgwiese/7c2475940fa3983243820e5ee6a837cb)."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's start by reading in and visualizing the data:"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"data = pd.read_csv(\"daily-minimum-temperatures-in-me.csv\",\n",
" names=[\"date\", \"temperature\"],\n",
" parse_dates=True,\n",
" header=1,\n",
" index_col=0)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x1207c7390>"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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FSPDLCLmDoc7GjcLHzxPVs55m8dZOvLC+o2k5KxKk8SMIoohY63qZ5iIdonTL1JWng2fu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8T2lCNAW486/M/ek1AI8a6xQT9FtPrBV97HoDa98klA3HIfZRf4iO+SVPkmNg5RRacaFMmVAAS+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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x103984400>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plot = data[\"temperature\"].plot()\n",
"plot.set_xlabel(\"Date\")\n",
"plot.set_ylabel(\"Temperature\")\n",
"plt.savefig(\"raw_data.png\", bbox_inches=\"tight\", dpi=200)\n",
"plot"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"temperature_mean = data[\"temperature\"].mean()\n",
"temperature_std = data[\"temperature\"].std()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Define Model"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now, we define the functions that build and train our model.\n",
"\n",
"For simplicity, we choose a model of just one linear layer. It has two output units to predict:\n",
"- The temperature for the current day. We'll scale the training data to have zero mean and unit variance, so we need to undo that transformation at prediction time.\n",
"- The standard deviation, i.e., a quantification of it's certainty. We'll predict the log of the standard deviation (which ensures that it can never equal to or less than 0), so we need to undo that transformation at prediction time."
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"def make_model(input_features):\n",
" \"\"\"Builds a linear model with two output units.\"\"\"\n",
" \n",
" model = tf.keras.Sequential()\n",
" model.add(tf.keras.layers.Dense(2, input_dim=input_features))\n",
" return model"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Our loss function is the negative log likelihood if the training data, with the likelihood defined by the probability density function of the [normal distribution](https://en.wikipedia.org/wiki/Normal_distribution):\n",
"\n",
"![normal_distribution_pdf](https://wikimedia.org/api/rest_v1/media/math/render/svg/4abaca87a10ecfa77b5a205056523706fe6c9c3f)\n",
"\n",
"Note that this is proportional to the [Mean Squared Error](https://en.wikipedia.org/wiki/Mean_squared_error) if you assume a constant variance."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Also, instead of predicting the standard deviation directly, we predict the logarithm of it. Or, equivalently, think of the standard deviation output unit as having an `exp()` activation function.\n",
"We do this for better optimization:\n",
" 1. It ensures the standard deviation cannot be equal to or below zero.\n",
" 2. Especially for small standard deviations, small changes in the standard deviation have a huge effect on the probability. This log-transformation undoes this effect."
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"def gauss_loss(y_true, y_pred):\n",
" \"\"\"Negative log likelihood of y_true, with the likelihood defined by a normal distribution.\"\"\"\n",
"\n",
" y_true = y_true[:, 0]\n",
" means = y_pred[:, 0]\n",
" # We predict the log of the standard deviation, so exponentiate the prediction here\n",
" stds = tf.exp(y_pred[:, 1])\n",
" variances = stds * stds\n",
"\n",
" log_p = (-tf.log(tf.sqrt(2 * math.pi * variances))\n",
" -(y_true - means)*(y_true - means)/(2 * variances))\n",
"\n",
" return -log_p"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"def train_model(X, y):\n",
" \"\"\"Builds the model, trains it on the given data, and returns the trained model and history.\"\"\"\n",
" \n",
" # Normalize y to have zero mean and unit variance\n",
" y = y - temperature_mean\n",
" y = y / temperature_std\n",
" \n",
" num_features = len(X[0])\n",
" model = make_model(num_features)\n",
" \n",
" optimizer = tf.keras.optimizers.Adam(lr=1e-2,\n",
" clipvalue=1,\n",
" decay=1e-3)\n",
" model.compile(optimizer=optimizer,\n",
" loss=gauss_loss)\n",
"\n",
" history = model.fit(X, y,\n",
" epochs=10,\n",
" batch_size=32,\n",
" verbose=False)\n",
" \n",
" return model, history"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"def predict(model, X):\n",
" \n",
" predictions = model.predict(X)\n",
" \n",
" # Scale up means\n",
" means = predictions[:, 0] * temperature_std + temperature_mean\n",
" # Exponentiate and scale up log standard deviation\n",
" stds = np.exp(predictions[:, 1]) * temperature_std\n",
" \n",
" return means, stds"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Define Features"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In our first version of our model, we will use a single feature: a one-hot encoding of the current month."
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"def one_hot(length, one_based_index):\n",
" \"\"\"Builds a one-hot vector of size `length`, with the given 1-based index set to one.\"\"\"\n",
" vector = np.zeros(length, dtype=np.int16)\n",
" vector[one_based_index - 1] = 1\n",
" return vector"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"X = np.array([one_hot(12, date.month) for date in data.index])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We train the model and plot the loss curve:"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"model, history = train_model(X, data[\"temperature\"])"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Final train loss: 1.0313917104104802\n"
]
},
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x1258c2c88>"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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SpNY2+vAAAACAckDAK2Hz51XojMV1auU8PAAAAKAsEPBKnBeLaNP2QxqfTPhd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\nRK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1258c2550>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"print(\"Final train loss:\", history.history[\"loss\"][-1])\n",
"pd.DataFrame(history.history).plot(title=\"Train Loss per epoch\")"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"def visualize_prediction(prediction, actual, filename=None, bgcolor=\"#ffffff\"):\n",
" \n",
" figure = plt.figure()\n",
" \n",
" means, stds = prediction\n",
" prediction_data = pd.DataFrame({\"predicted\": means,\n",
" \"actual\": actual,\n",
" \"min\": means - stds,\n",
" \"max\": means + stds})\n",
" \n",
" plot = prediction_data[[\"predicted\", \"actual\"]].plot()\n",
" \n",
" plot.set_axis_bgcolor(bgcolor)\n",
"\n",
" plot.fill_between(prediction_data.index,\n",
" prediction_data[\"min\"],\n",
" prediction_data[\"max\"],\n",
" alpha=0.2, color='k')\n",
" \n",
" if filename is not None:\n",
" plt.savefig(filename, bbox_inches=\"tight\", dpi=200)\n",
" \n",
" return figure, plot"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now, we can visualize the predictions and actual temperatures for the last year in our dataset. The blue line represents our prediction, the gray area displays the standard deviation (or the [68% confidence interval](https://en.wikipedia.org/wiki/68%E2%80%9395%E2%80%9399.7_rule)).\n",
"\n",
"As expected, the predictions are constant for the entire month."
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"scrolled": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/ipykernel_launcher.py:13: MatplotlibDeprecationWarning: The set_axis_bgcolor function was deprecated in version 2.0. Use set_facecolor instead.\n",
" del sys.path[0]\n"
]
},
{
"data": {
"text/plain": [
"(<matplotlib.figure.Figure at 0x125f3f550>,\n",
" <matplotlib.axes._subplots.AxesSubplot at 0x1258c2080>)"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"text/plain": [
"<matplotlib.figure.Figure at 0x125f3f550>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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BDee1e2sIIYQQ0iZGRkZWLSpI58CIZiega+50DV4rBN6RnwELJ5r/OqRzycyp29xSe7eD\nEEIIId3Fyixw4M52bwUpAwVeJ6AFXRDRbIHA+9KbgP/6WPNfh3QuuWV167nt3Q5CCCGEdBc//xLw\nL68BJh9v95aQCCjwOgEnq25Tw4AwWzMHz04D9nLzX4d0LrrW03Paux2EEEII6S6yi+r2ka+1dztI\nJBR4nYB28Kw+INGfF3zNxHNUkw2ydqHAI4QQQkgj6HPXR76qusGTjoICrxPQgs7qA6xUa7poujbg\nsVPSmkY7uC7/HxBCCCGkDnQ50dwh4Oje9m4LKYECrxPQkUwrBVj9zW+yIiUgXZ7Yr3UCB481eIQQ\nQgipAycDJIeUOfHIV9q9NaQICrxOIOzgJfqaL/D0CT0dvLVNLq1uGdEkhBBCSD04GdUccNevA4/e\nxrKfDoMCrxMIavB8B6/ZXTS1sKNzs7axKfAIIYQQ0gBORpkSz34VkJ4GpthNs5OoKvCEECkhxGeE\nEIeEEItCiIeEEK8IPf5rQognhBBpIcR/CCG2V1jXDn+ZtP+cK+J6I12NdvAS/UrkNbuLpj6hZ0Rz\nbcMmK4QQQghpBDujkmcbzlW/zx5q7/aQAmpx8CwARwC8DMAogPcD+Iov1jYAuA3A/wdgHMBeAF+u\nsK4vAngQwHoA1wL4mhBiovHN7xHCDl6iFQ6ef0LPiObaRjdZocAjhBBCSD04vsBbt0P9PvtMO7eG\nFFFV4Ekpl6WU10kpn5FSelLKbwF4GsDFAF4DYJ+U8qtSygyA6wD8khDi2cXrEULsAvB8AB+QUq5I\nKb8O4BEAr43x/XQn2kmx+tS/Ztfg6Zz0WspL2yvAT28GPK/dW9I50MEjhBBCSCNogde/DugbpcDr\nMOquwRNCbAKwC8A+ABcC+Ll+TEq5DOAp//5iLgRwUEq5GLrv52WWhRDi94UQe4UQe6empurdzO4i\naLKSalGTlTXo4D31Q+A7/xs4+fPqy64V2GSFEEIIIY2ga/AAYGw7BV6HUZfAE0IkAHwBwK1SyicA\nDAGYL1psHsBwxNPrWRZSypullLullLsnJno8xRkedG71NX8OnhZ2a6kGT3+mWtQQNlkhhBBCSGPo\nGjxAxTQp8DqKmgWeEMIA8HkAOQB7/LuXAIwULToCYBGl1LPs2sLJAhCAmWxNRHMtOnjaJW12A5tu\nQovetST0CSGEELJ6nIxKngFK4M0dZhlMB1GTwBNCCACfAbAJwGullPqMcB+AXwotNwhgp39/MfsA\nnCOECDt2v1Rm2bWFzjELoZqstGoO3lqqwXN9gRdnA5vFU8A9/6d7d2iBg8dxGYQQQgipAyejRnsB\nSuC5WWDpZFs3ieSp1cH7BIDzAbxKShm2QL4B4DlCiNcKIfoA/AWAh/34ZgFSyv0AHgLwASFEnxDi\ndwA8D8DXV/UOeoHwVRCrr/ldNLVjs6YcvJx/G+Nn+/CXgTv+Ajj1SHzrbCWMaBJCCCGkEYodPIAx\nzQ6iljl42wFcDeAiACeFEEv+v9+TUk5BdcH8awCzAC4F8MbQcz8phPhkaHVvBLDbX/bDAF7nr2Nt\n44RyzFafihFK2bzXW4tz8LSwi7O+Ue/Ijt0f3zpbhZMLRXUp8AghhBBSB05Wpc4ACrwOxKq2gJTy\nEABR4fEfACgZi+A/9q6i358B8Kt1beFawMnmr4LojkRONv9z3KzFE3u3CQ5eWODtfkd8620FdqjZ\nzFr6f0AIIYSQ1WOv5M9dR88EICjwOoi6xySQJuBk8ldBdJ65mXV4a9LB0zV4zXDwHohvna2CAo8Q\nQgghjeA6gHTz56xWEhjdRoHXQVDgdQKRDl4LBN6aqsHLFN6uFs9VHaPMJDD5OJDtsmawYaFLgUcI\nIYSQWtEdyfW5K+CPSjjUls0hpVDgdQL2SmENnr6vWQRNVtZQ90Qd0Yzrc104rgTyeS8HIIHjD8Wz\n3lZBB48QQgghjaBTUTp9BgDrOOy8k6DA6wTCDp4VqsFrFms5ohmXg6d3Yhf+jrrttkYrOQo8Qggh\nhDSAXcbBWzpZeH5B2gYFXicQ7qKpr4Y0cyC3du7WVEQz5ho8LfC2Pl/t1LpN4IUdvLU0D5EQQggh\nq0OfU1lhB+9sdTvHmGYnQIHXCUQ5eM2chaeFnec0dxxDJ+HG7ODNHQKEoTpHbb24+xqtMKJJCCGE\nkEaIqsEbnFC36dOt3x5SAgVeJ+BkQp2IdESzmQ6eE/1zL+Osogbv0duA+z5VeN/sM6pjlJlQAm/h\nKLB4ctWb2TLYZIUQQgghjRBVg6fFXjNLjEjNUOB1Ak4meg5eswif0K+VOrxGu2gunwZu/2PgJx8v\nvH/2mfxgz/Xnqdv5o6vZwtZCB48QQgghjRBVg2cm1a1uakfaCgVeJxCuwdNOXlO7aIYdvDUi8Brt\novmffwtkF4DsUuH9YYGXGlK33TQqQRdBJ4co8AghhJC4uPOvgCM/a/dWNJeoGjw6eB2F1e4NIGjf\nHDxg7TTYaKSL5vwxFc0URqF4yy4By1N5gZf0BV5uqWQVHYt28FIjFHiEEEJIHGSXgLtvUheVz7yk\n3VvTPPS5FB28joUOXruRssjBa8EcPG8NOnh6Z1TP53r3RwFI4KI3qZpILYZ1h6ix7eo2Oahui12+\nTsZOAxBq2ynwCCGEkNWzcEzd9rrICQReX/4+LfDo4HUEFHjtxnMA6eWdu5bMwQuJurVSg6d3tvU4\neMcfAHa8FNh4ofo957t4s77A0y2BU8P+490k8FaAxIBqEkOBRwghhKye+SPqttdFjj6XSoQEnnbz\n3B5/710CBV67CQpV2zAHD1hDDp6eg1eHwMssAP3rQjV2voDTM/CKI5pdVYO3rP6vGWbh/wdCCCGE\nNIZuttbrDl7xuSsQcvB6/L13CRR47SYoVPW/JK2wuMOu3ZqrwatDOGcXgL6RvEOnBdzyJGBYwMC4\n+j3Rr+r0us3BSw6o97FWXFxCCCGkmWiB1/MOXtG5K0AHr8OgwGs3xYWqQqgvTKuarKwVB89t0MFL\njQDJoghmZh7oG1N/K0DdJoe7rwYvMQAYjGgSQgghsRA4eD0ucpwoB0930aSD1wlQ4LWbcldBmvkF\nWcuDzmt18OyM2kEXOHgL6jYzD/SNFi6fGuoyB08LPGvt/B8ghBBCmkng4PW4yHGyKrlkJvL3mZa6\nr9fFbZdAgddunIhhka108NZKRFPvcDyntkiiFnOpkdIavCiBl+w2gec3WWENHiGEEBIPuslKr4sc\ne0Wdq+okk8ZM9X48tUugwGs3mZCQ0DT7C7LWIpqepwqedTOUWkYl6L9L32hpDV45B6+bIppBkxVr\nbfwfIIQQQpqJ56n5uUDvixwnW5g801hJ1vV3CBR47WZlRt3qhh2AH9FslYO3Br6IupuVFmW1fLbZ\neXWbGikdZJ6ZV9HNMN3o4CU5JoEQQgiJheXJ/AXTnhd4K9ECz0z1vnvZJVDgtZv0aXXbHxZ4fc1t\nsRsWdWvBvdE7Gy3w6nLwIrpolotodpODF0Q0WYNHCCGErJo5P55pJnt/TIKTLZyBp2l2DwlSMxR4\n7SatHbz1+fusZJMdvFDNVbfX4N39UeA//67yMvpKWt+Y/3stDl4oOmsmlOiu2mSli+bg2cuswSOE\nEELiQtffrdvR+w6eXc7BS9LB6xAo8NrNyoz6kiQH8vdZfU2uweshB++J/wfs/37lZZxVOniAcvGy\nS2pdTqZHHLx+zsEjhBBC4kB30Fx/bu+LnLI1eGyy0ilQ4LWb9ExhPBNgDV49OJnqEcOGavCKmt+k\nhlVEMxB+Y4XLd9OYBM/rjDEJX30b8Pi32vPahBBCSJzMHwVSoyqR1esxRSdTwcHr8ffeJVDgtZv0\nTGE8E2iBg9dDc/DsdHUXUgu6Rhw8XX+nm6hk5gvXpUkOq51aN+zU9eeR1IPO2xTRfOzfgad/3J7X\nJoQQQuJk/igwus3vo9DjLpaTqVCD1+PvvUugwGs3KzPAwLrC+8xkc78gbg85eHYNDp7+LPvrrMFL\nDqsaNUA5ednF8gIvVdRps5PRAjeowWuDyHcdQHqFn9cdHwB+fFPrt4UQQsja5N//ELj/1njWNX/E\nF3hroNEIHbyOhwKv3aRPR0Q0WzDo3Ez6P3e5wHNWqjeKKY5o1urghUchpIZ8gTdXuC5N8SiFTsZe\nVrftjGjqq5vZUGOaX9wBPP2j1m8LIYSQtcn+7wOH/iuedWkHz2xyo7xOwM4oIVsMHbyOgQKv3URG\nNFPNvQLiOarBBtADDt5KHRHNehy8+cLh80ENXhUHrxsarQQOXhsHnesDQG45f192UR00CCGEkFbg\n5uI5BubSKpE1ulWdw0m3tztUO1nA6i+9nw5ex2C1ewPWNJ6rHKGBNjh4Vj+A+VXtgDKZDGZnZ+Pb\nrnqRElucDBw7i6kTJ8oulpo6iXEAMxmJcQDzp08hXWF5ABhfmIYw+jA3OYmNGzfWUIPXRQ5eLuTg\nmW2qwdMHgPDnlV3Ix2gJIYSQZuPm4hEkdlrd6nIOQImgcIf0XsJZiXbwml1iRGqGAq+dZOZVHVJJ\nRLPJXxDPyRfHNnjlSkqJRx55BJOTkzBNM8aNqx3Dy2ELADuTxs9//vOyy22c2Y9xAL84MolLARw/\nfBCH7PLLA8Blc6eQS4zg/vvvx+WXX45UNQdPC7xsF8zC0w5eso01ePr/t3Y8pVRijwcGQgghrcLJ\nxpNk0uswrLzwcbMAelXgZfNJsDBWqvcbzHQJFHjtJGrIOdAaBy/h73Qa3LFNTk5iamoKmzdvjnHD\n6sPMKbFlCmBiYqLscmM5JWaHN2wDAIz0JyouDwAp5OD6zW8WFxeVwHMyQHpa7cATRTvtrmqy4l9p\nbGsNnnbw9JVOv1lOr9ctEEII6Qw8V0Up4xB4+jhqJgDP73HQy41W7EoOXg+/7y6CNXjtZEULvIg5\neNKr3jykUVw73/2oAQfPtm3s27cPY2PtjdMZvkgQsvLnZPjv0U0MQELAqOHqkmkvw00MIZlMYnp6\nOj8uYeG4cu+EKHxCsptq8IoEXjvqMLWQ05+XvqWDRwghpBXoC41xRDS9cg5eD+K56v1G1eDRwesY\n6OA1SDqdxr333gvbbvzkeGL2flwM4N6fP4n5p/J1UDuOP4NnA7jju9+Ca0a0oV0lL5ieAqDq0Q48\n+QQOpL9b9zoMw0AqFXH1poVooSaqOFDCFzDSSMAzUxC1CDxnCa41iIGBAZw6dQrPHvEF3vyx0ngm\nkBeAXeHghZusJABINfzcaOH1HqeoBk8Plndq6HBKCCGErBZ9QTGOFIu+IG9YgPCPpb3qZOkLtJEO\n3hoYEdElUOA1iOu6sG27atSvEuv978jQxu1IDubXM7CkooET60bgpiLExCpJWgKe2Qe5ZGKwP7Wq\n99BOAoEnKzcJMTy1s/GMJKSRDH4vh3BzMDwbbmIQyWQSc3NzyI2mkARUG+ShiM+rm2rwwk1W9Jw/\nzwGMZOu2QYtsPRw+RwePEEJIC4nVwQtFNKX019ujxzN9nI6swUv27vvuMhjRbCNmTrkWTnKk4H7P\nP9GuJkQaRUgXUpiQwqwab+xkDK82gSe8QgevWkTTdJQAcq3B4L606wuhxeOF4xM0VkpduQu3/e9U\nlqfV7cC42mag9XV4YSGXWwp1HcvkD46EEEJIs3BCFxpXS1REs1drynUKqJyD5zkqFUTaCgVeG7Fy\n85DChBcSEgAg/SHkokkCD1rgGVbVeGMnI4KIZm0CzzOStQk8fxC4m1B/l1Qqhdllf+ctveiIphD5\nUQqdztIpoH9dXpQCrRd44QNqdrGwdpEzdAghhDSbwMGLM6KZUI1GgN6NKgYRzTIOHsDjeAfAiGYb\nsXILyr0ratjhGQkATXTwPBfSMCGF1d0OnhZ48JTwEtHXKwwvBykMwDDhmcmgOUs5ih28wcFBTE4e\nxtn+4xnRh+XTp0ueN5YYgL1wOvKxTmJ45giM/gnMnz6NvkwWgwBmpich+6PrSVOpFIaGhuLdiAIH\nb7kw2upkoq8MEkIIIXHRlIimlRd4vRpV1Mfvcg4eoN57Iv4eEqR2KPDaiJVbgJMojftJHdFsUndD\nIV1AmJCGWdX96mTCTpyKnUYLPOHmgtirZ6QgvGoOnnKT3IQSNZZlYRmJ4PETs2k8+bOflTzvxY6B\n5ckjeCiXvR/NAAAgAElEQVTisU7ihZMH4Zj92Puzn+HMk8dwIYCHHtiLXLK0K6rruti4cSMuueSS\neDcifEDNLeXHJQCAnYl2SQkhhJC4CCKacYxJCEU0tcjpWQcv1KitGKvH33sXQYHXRqzcfEn9HQB4\nTY5o5mvwesPBA1QnTWkkopfz7OAx2UBEEwBGJrYFPydHJiIb04jUMAYMt+Ob1vS7i1ga3YGJiQkM\npZWQ2jA+Bru/dLuz2eyqOsWWJezgZRdLHTxCCCGkmegLjQ2MiypdlxZ4iVBMcS06eD3+3rsI1uC1\nEctegJMsdSpks5useA6kYXV9DV6xg1cOERJ4jUQ0AcA181eqtLNXjGcNwHA7vM2/lEhkZ2D3rVe/\nCtU8ptznZxgGHKcJ/0fCIi63VFiDx06ahBBCmk2sTVb8Y6iZCDl4PXosC5qsVHLwevS9dxE1CTwh\nxB4hxF4hRFYIcUvo/t8TQiyF/qWFEFIIcXGZ9dwlhMiEln8ypvfRlQQ1eEXoGjzRpCLVwi6aHRDR\nlDK/c6wDIxy1rPB8wyuMaBp1RjTVSsxgJmE5geda/TCddC2b3jZMewmGZ8NOjQOoLvCEEHDdJvwf\nKWiyskQHjxBCSGsJavDijGiaoUHnPRpTrMnB69H33kXU6uAdB3A9gH8O3yml/IKUckj/A/C/ABwE\n8ECFde0JPedZDW11LyAlrNw83AiBp7toNndMgu/gdYDAG5m8Dxd977dh2PV1oAw7cZWipoUOXj1j\nEgqvTnn+7xUdvA4XeImsagBj9/kCL+ii2WoHr8yYhOLHCCGEkGYQp8AriGj2uIula/CsiCYqvf7e\nu4iaBJ6U8jYp5b8BqNYe8K0APiclB1lVw3DSENKNjGhqt0nEkQuPQEU0/Rq8Doho9i89A9NJI5GZ\nqet5hpt3eioJVcO14Zn5iGY1Z9S0l+FaA4Dvbml0ZNOxKjl4nR3RTGTVZ2ynao9oNt/BWyxsstLh\nnyEhhJAeINaIZmjQublGHLyoLpm9/t67iNhq8IQQ2wH8CoDPVVn0BiHEtBDiHiHEr8b1+t2GZftD\nziO6aAaDzpv1BQnm4HXGoHPTP7k33frcL1HUZKXscl4uqGuUZg0RTWe5oP5O41oD6rZsRHMARoeL\nEy2ia41oary4h5Y6WQBCXe0MHDwReowQQghpIvocS7qrH8ytz0EMK99kpVfLDexKDp5+7zyOt5s4\nm6z8DwB3SymfrrDMnwE4B8BWADcDuF0IsTNqQSHE7/t1f3unpqZi3MzOwMrNA0BkDZ703aaWdNHs\ngDEJlu0LPLs+gReOsFYSqoZnB3WNnlFbF81wB02NV0XgedYADOk0rXayYTw3EJ7FEU0YWuBVFvqx\nCzw3q6IcqSG/Bm8JGFCuYs8eFAkhhHQO4WP1ahNT7loak6Br8KIcPHbR7BTiFni3VlpASvlTKeWi\nlDIrpbwVwD0AfrPMsjdLKXdLKXd3etv5RrB816odDp6QLmDoJiud4OApN1PXvtVKrRHNsIPnmUkY\nnq0Go5fbnoYdPFWj12ku3hn7b8X5P75a1X1mZuAZKXj++wscvCpCP34HL6cEXnI4P+h8cIP/GA8M\nhBBCmkz4WLPa862CiKY/sqlXRU6lGjwt8HpV3HYRsQg8IcSLAZwB4Gt1PlUiyGWtLbQI0K5QGNn0\nGjwd0eyMGjzt4NUijAwnHexIC5qsVOqi6eZCNXjqyloll62cg+daA5DCgGdG7NQAeP4ohXqjps0m\ntXQEfctHkViZ9EckjANCfe2kUE1WWh7RdLPqKmdqSNXf5ZaAQf9CDh08QgghzSZ8HrDaRivhQedC\nqONbr16srNRFM+gg2qPvvYuodUyCJYToA2ACMIUQfUKI8JD0twL4upRyMXoNgBBiTAjx6/q5Qojf\ng6rZ++5q3kC3ot0nL+IKiO742JQumtKDgKe6aHbIoHOrDgfv/B+/C5sPfBFAPQ6enXfwDLXzqVSH\nZ9qLkS6d3TcOO7UhEEfFaIev00Yl6Djw4NwTSuD59XdA3sFDO2rwrBSQHPQjmgv5iKbdWQ4oIYSQ\nHqTAwVttRDNUgwcod6vTyjXiwk6rGXhR50K9Hk/tImp18N4PYAXAewG82f/5/QDgC783ICKeKYR4\nnxDiO/6vCahRC1MApgH8EYBXSyn3r+YNdCu6Dkw7SgUIAc9INEXgaSEUNFnpgBo8U9fg1eDgJVdO\noW/5GIBiB6/ymARdgxeMoCi345Uukpkp5Po3ljx08rw348kXfbTs62g3ttMimrqhz+DcE0hk8kPO\nAUAabWyyYiaB5FB+0Hng4PHKHyGEkCYTFnVxRjQB1WykV49lS1P543UxVhNr8JYm419nD2NVXwSQ\nUl4H4Loyj2UAjJV57EOhn6cAXFL3FvYo2n1yy8X9jOrt/BvCF3TBmIROcPCCiGYVB096MDw7GERu\nuFlICAjIymMSCmrw+oLnRpHInIbh2cgOnFHymJsYKlt/B+Rr8DrPwfMF3uzjSGRnsLjhouCxfA1e\nq5us5PJNVmafVg7ikC+qGdEkhBDSbNw4a/BCEU1AOVm96uAtnQKGN0U/ZjZpDt7xh4CbfxX4w58C\nE2t3hHY9xNlkhdRBENEsI/CkbgYSM1rQBYPOdT2bvRQIp5biOYEgqiaMtODVjp/hZgLXrNqg86CL\nZjBEPnrnk1o+AQDIDmyp9R0EaDe2WpfOliJlKKL5JCx7MZiBB7R5TIKZVE1WFtRnjv51AETvXvUk\nhBDSOYSPNavtRxBENNeCg3cKGCoj8AIHL2Zxu3AcgATmj8a73h6GAq9NGG5GnVwb0SaqZySaMiah\nIKIpzOD3sx/8MHbdc03VWqy40e4dUF3g6ciq5QtR4eUC16xikxXPDuoadQ1eOXc0lT4OoEGBV2Xd\n7cBwMzA8GyvDZweiNhiRAITGJLShyYp28LQgTo2ougU6eIQQQppNQZOVmCKa/jFVNVnp0WPZ4sny\nAq9ZDp7+LFmjXzMUeG3CcLNl45mA6qTZjDEJIhzRDDl4icw0BhYPYvzoD2J/zUroIeeA3yGzAtoZ\nyzt42fw4g2pNVoq6aJZz2VLpE5DCiKzBq4as4g62Az2CYn7jC4L7opqsiApjI4A6BJ7rAHNHqi/n\n5PI1eJrUkBJ9vXpQJIQQ0jnE2WTFs/MdNAHlZHXQxd7YcHLAykwFB0930Yw5gab/VnXOS17LUOC1\nCcPNlI1nAipK2EwHD6KwBk+7Z2c8eUtLHSjdACS8DeXQn0e4Bk93rixbQ+bX7XlBDZ4WeNEiIpk+\ngVz/prLOaiU6MaKp45nL686H49cPFjRZibsGb99twMcuBlZmKy/nZpVblwoLvGE6eIQQQlpDQZOV\nGAad63gm0LtjEpb9RiflavAMExBm/E1W9HlBrr55yWsZCrw2YbqZyBEJGmk0qwYvuoum4awgM7gV\nqZVTOGP/LRie/BlSfrfKZqIjmnZytOaIpulmIDwbhpsN1eBFO3hauOgmK9rxKzeSIZU+0VA8E+hQ\ngecLaCc5hvSoKkwucPC0kI0rorl4Qu3YF45XXi486FyTHAISfb15UCSEENJZxNpkxc130ATU8a0X\nHbylU+p2aHP5ZawmiFs6eHVDgdcmDCcbPSLBxzMSTXHS8oJHz8FTJ/amk8b8psuwsOGXsfnAl7Dr\np3+mavKajI5o5vo3w6zyxQ1HVk17EYaXDQaSl2uyol0/3WRFL2/alQRehR1XBfIz9jpnp647aDrJ\nESxuuAhOYghOMt/0tpYmK0KI2gWe7V9lW56qvJyT8SOaoYHyrMEjhBDSKgqarMQR0TTzvzdD5HQC\ni1rgVShjMZsQT9Xjp3IUeLVSfw6NxEK1iKaqwYu/mLTQwfNr8KQH012Baw3gqd1/if7FpzHxzDex\n7sSPYn/9YnSEMDewCYMz+ypve2iHYWXnIKQXimhGCxQttnR9XCUHz3BWkMjOIhcxIqEmDL9xTSc5\neP7n6yRHcWrnGzB95m8UHITyEc3KAs9xauwwpkX6UhWBFx6ToEkN9+5BkRBCSGdR0GSlCRHNnnTw\nTqrbYTp4nQ4dvDZRWw1e/BFNlHTRdApGNniJQSyPPwfZwTNURFTK+LchhGUvQsJArm+ihohmfoeR\nzJwGgLzAKxfR9Hfa+UHnKUhhRjp4ybTacTUa0QRUTLOjIprawUuMQBoJOKH6OwAqK4/KYyYMw6hD\n4PkXJao6eNkyTVb62CWLEEJI83Fz6pijf14Nnl0U0ezRMQlLkwBE+UHnQHPEbdBFkwKvVijw2oQS\neJUims3qohmKaBoqoqmFlRZL+vXV8s29AmXai/4A8UGY7gpQoZtj+PNIZKYB5B25ck1CdB2jHpMA\nIeBag5EOXjAiYXC1Aq9zrtpZ9oJqrhKOjoSoNaJZs8DTMQpdiF2OYEyCX4MnDCAxQAePEEJIa3By\n+TKBVXfRdAuPs2Yq/kYjncDiSWBgfaGYLaYZ4lavj01WaoYCr00YbrZKRDPRlFqu4jl4QH7sgBcS\neEHL/yaLFSu3ACc5EohLwynv3oQ/Dy3wvES1Jiu6Bi8Z3OcmBiMdvFS68SHnGs9IddSYBCs3Dycx\nUvZx3WSlksAzDAOuW+N8RO2+VYtoFo9JSA6r9tJWP2vwCCGENB83mz8GxR3R7FkH71TleCZAB69D\noMBrE+0ek6Br8ADAzKmxA3poONBaB89JDAfislJMUxQ4eH5E09QCr0YHD/AdvKWSZZPpk3CtQbgV\nBFE1Oi2iaeYW4CYrCDxf5KPSoPhmRDSLxyRoJ48OHiGEkFbghAVezBHNXh2TsHSqcoMVoDniVjdw\nY5OVmqHAaxPVIpqqyUoTxiToE3lDzcED8q30CyKaZms6Qlq5RbjJ4eC1Kwm8sHAKavCqOniFNXjq\nOUNlHLzjqoOmHlTaAJ6ZbOkcwWooh3S07OOxRzTtGiKarmrso8YkaIHn37KLJiGEkFbg2vmI5qq7\naLqF83N7dUzC4qnKIxIAv4tmk+bg0cGrGQq8NqFmuFVw8IxECxw8dXJvRUU0jRZFNO0FOIlwRLOC\nwAtHNLPFNXhlumi6hV009XPCNXhD0w9h/Mj30b9wcFXxTACQnRjRrODgQahdQLWIZv0Cb7r8MnrH\nbybzzl2Bg0eBRwghpMm42fzFxVgimiGBZ/ZgRFPK2hw8M6nKMOKEXTTrhmMS2oHnwvDsyjV4ZrJJ\nNXh+kxVhBQ6enkVXENH0BVGzW/6btnLwaopo+p+HkxgJIpr5QefV5uAV1eAtKIFnOCvY9ZM/hfCb\nu5w+6zdX83b8iGbndIG0cgsVa/AghOqmGvuYhEl1MIhyQ/WO2kqpSIsZarZCB48QQkgrKGiyEncX\nzT7Vtby4+Uo3szKr3me1GjwrBeRKy2BWhcOIZr1Q4LUIw0mjf+FpLI9fGIwlcCvV4BlJJTpi3jkE\nDp6Rr8HTEc1IB88XSMLNYnD2cSxtuCi2bYF0YdlLcBLDFefTaXRE0+4bR9/SYQAhUVp2Dl5EDV4i\n7+BZOTVP7+j5v4/ZM16GXP+mVb0lz0wGs+fajXBzMN2VihFNAP64jJiarOidsJsFsotAX4S4dEIO\nHqAOsDqqmejrvauehBBCOo84m6x4TlFE0z++OVkgORD9nG5j0Z+BN1TlPMlMNdHBYxfNWqHAaxET\nz3wTW5/4DB76jW8GQqViDZ6ZF1ie0V92ubrxwl00ix280jEJWuCtO/4jnP3Qh/H4S/4R6XXnx7Ip\npq2u8KiIpnqPFWvwvBw8IwEnMRw4bp6Zgies+hw8axCmnQakhJWdAwBkhrcjt8p4pt6eTmmyooV7\nxYgmahN42WyN78lOq4Oc56hGK1ECzw05eACwYZf6B+QdvHLuHyGEEBIHTi7GLppFAk+f37lZAN0p\n8KSUePLJJ5HLqfOoocm9OAfAU5NLWH744bLPO2tpBf3pBTxZYZl6OXfhNAYA2OkFPB7jeiuxefNm\nbNxYJY7awVDgtYjkyik1c85ezDf+MMsLN90URAmU+AReQUSzuAYv5CjmI5rqi63F2PixO2MTeJYW\nlsm8g1epBk+4OXhGEm5iOL+dRgqoIFACB88sdPAEPBjuSuC2VXO5asUzUhAdUoNn5moUeIZZcdC5\nEKK+MQkjW4G5Q0rgrd9Zuoy+sqcPgG//Tl7MWSnVgMVzKs/ZIYQQooTFwbuA866ovuzJR4D+dcDo\ntqZvVlfg5lRqRBjxRDQToVRW4OB1b6OVbDaLp59+GgMDSqAmTqvk1OlsAiuzs2Wft9GR6HOymK2w\nTL14OVX6IpyVWNdbjnQ6jUQiQYFHqpPIqv+Qlr0ICXUyW62LJqCahNR4al0ThXPw/IhmbkHFRUW+\n507YQVTboaJ348f/A0cv/ANArD42qufvqTEJvoNXoYDWcHOQZgpOWOCZfWpge5lB51qgFo9JUK+1\njEROOXh2TAJPms0ZUN8IViDwqkU0rRjHJGSAiWcrgbdUppNm4OAl9QuENto/QNorFHiEEFKNp+4E\n/vUNwB/+DJjYVXnZr70DOOuFwG99rDXb1um4WXWh0UzG0EWzjIPXxTXl2WwWQggMDSmXcxgqHpkY\n3wbTKu9Kmql+mNIJnhcHFtQ5iOlmMTQ42PSET80XtTsYdtFsEbopiJlbgumLpUoCr1lz6HQzDWmE\nB50vFdTfhV9fixUt9BLZWQxPPxTLtmgB4iZHIM0kPCMB060U0cz6Dl5+pyHNZMWIoY5Lhusd9fNN\neynk4I2t7s34dFRE039vlebgAdUjmkIISCkhpaz8glKqiObYdvV7uVl4+opmVBdZfR/r8AghpDpZ\ndaG0ptqk3DKbVGj0uB4zqQaUxxLRDDdZ0RHNzrjg2wg6mqlJZGfgmn0l54vFSCMRJNXiQp8LC3ix\nr7tXocBrEYnsDADlWhmBwKsQ0QwctJi/JPpEXhQ2WXHLCDwRcvA8IwHXGsT4sTtj2RYr5OABqgbQ\nqODgCTcHz0zBTYYdvJSKGJYdk6A/65DACzV0sbLz8IxE1R1WrXgdNCYhcPCqDW6vIvA0nudVXsC1\nVdewsTPV7+UEnlvUZCWM1f1XPQkhpGVoYVIhhVGwLE+OFeEkiZmIqYtm0ZgEoKsvVq6srECEnDI1\ndqn6xXBpJGMXYeG50J3UqbyTocBrBVIikVECz7IX801WrEoRTb8GL+arP4URTe3gLRaMSABCEU3t\n4LlZeGY/Zre8FOtO3B3Ldpl2oQDxrIEqTVaykEYCju/AeUYCEAZkhSYrhpuBJ6yC6ISb0BHNJVi5\nORVhjMnu90zd/bTGSGMTyTdZqRLRNMyyEdcwVQWe4+90U8OqzqNcRNMparISRv8/7OKDIiGEtAx9\nLK7lmOPZtQnBtYAbqgU3k03ooulfVO6QRE8jLC8vI5nMX4hV54Hlz1s1npGI3ZwwvGxoXjIvANcC\nBV4LMJzlwNUx7aXgP2elOXjFXSzjIj8mwQocPNNeLo1o+l/ivIOnvtjzm14I01lG/+LBVW/LyNQD\ncKxBuH4XK7eawHNteGa+yYrexmoRzeIdUoGDl5uLLZ4Z3qZOiGlauXm4Zl/BkPcoqkU0NVUFnh5y\nnugHBjdWiGhqBy9K4NHBI4SQmqlH4LlOR1x87AiCUgHt4MUx6Dwc0ez+JiuLi4tIJPLvqVaBJ42E\nOqeQVc4Z6kC4ucAM6ITzq26AAq8F6HgmoB286gJPn5THn2PWXTTzTVYEZImDV1KD53+xg26Xq3Tw\nBmf2YezUf+HUuW8MGra41kDlLpqeimjqSKdn+AKvQpMV083AK6r1yjt4y2oQeEwNVgBAaoHXATFN\n9d6qxDMRp8Dz/3aJAWBwonpE04qKaOoavC4SeMfuB0491u6tIISsRfSxr2YHjwIPQKhUIKUEXhxN\nVsxyYxK6k6WlpQKBJ+pw8IAYz1+lC0M6wfmM7mNBKkOB1wJ0PBMorsGr3mQl9o6M4YhmKE5QUoMm\nTEgYgVAx3IzfsVJ/cVdxkJASW5/4DOzUOkye/ZqCbajs4GUhQ01WanPwMiVCurAGbw5OKj6B17S/\nWwOY9gLcavV3UBFNxCLw/J2u1QcMVRB4xWMSwnSjg/etdwM/uK7dW0EIWYvUFdGkgxcQHId0k5XV\n1uAVRzT1saz95wKN4LoucrkcLCv/ngwvF3R4r4Q+T4wrpil8d1ULPNbg1QYFXgvQDp6EgGkvhwad\nV3DwmhXR1A6eYQU1eADgmsUCT6h6ssDBy8HzO12q9TS+XcNTezF8+iGcOO/NwXgEoIaIpu/g6Yim\ndssqNllxsiWfs2f2QQrDH5MwD7tHI5qmvRzUK1Yi/ojmgIpoLq0RBy89C+SW2r0VhJC1iBYmbhXh\nJqUSIdWWWyu44YhmDDV4xRFNXRrRAecCjZDNlm53zRFNM94u8Po8WKetWINXGxR4LUCPSMgObCmK\naFZw8MzVC6koRBkHrziiCSiRGZ6DF3bwVnNlZuzUf8G1BjC9/ZUF91evwVNjEoKIpr8Tqdpkpfhz\nFgKuNQQrNwfTWY41ohnULnbATt2ylwpGSpRFlBfIYWqPaPariGZ2PrpZStBkJeICR6ILxyRk5vPv\nnRBCWknQRbOKcKsnyrkWKI5oxtFkxYwYk9BNx7IQxSMSgPqarAB55221BOOuAgePAq8WKPBaQCI7\nA89IIDewOYhoekaqYLB4MXkHz8bw5M/QP7c/lm0pGJMgwhHNUoHnmclAyOkvdhwRTcPJwEkMFwwf\nV9tQSw1eOKKpxIAU5SOGURFNQNXhpZaPA4hvBh7QvOY4jWDWKPCUQI5B4Omraol+FdEEomOabiga\nU0y3OXieB2QX8u4lIYS0kloFXq3LdQIPfwVYnm7ua5Q0WYkjoplPRXX7mIRoBy8XXFivROwRTe3g\n+Rf3OyEh1Q1Q4LWARHYGdmo93MSQ6qJZw1UQLRTM3CJ23v9BnLH/1li2RXgupDAAIVTtlU/xHDy9\nDaKoyYrnu36rKZ413ZVo0WUNqOLZsmJN5b/VUPRkTU1Wygo8axB9WuDFWIMnOyqiWaPAM+JustIP\nDJ+hfp47UrpcxTEJ/n12lwi87AIASQePENIeaq3B6xYHL7MA3HYV8ODnm/s64XmszYhoWt3dZGVl\nZQWmaRbcJ7xscN5VibibrOQjmqzBqwcKvBaQyMzA7huHkxhWEU0nWnSE0RnmdSfuhumkg5jnahHS\nDWrvCh28UoEnzWQgVPIO3uq7e5YXXWobTCf6y2v4g84BdSUnH9Gsb0wCoBy8REa5S82IaLZd4Hku\nTHelRgcvrohmaEzCxvPVz5P7SpdzKzVZ6TIHLzOvbungEULaQa2DzgOB1+Fz8PT7KTdHNS7Czb5W\n20VTSn/QeVjg6WNZ+9M8jVA8IgHwG93VOCYBiM/BM4ImK+pcrWldNKWHiae/AdEt5x9VoMBrAcrB\nG4ebGIZpL6kT76j6oxDawRuafdRfR5wCzxd2BQ5eREQzVIMnvKxfg6eeu5ovruFmS0YXqG3QQywj\n3BApYXjZ4HOZ33Qplsaf67+pKl00I96baw1CQAKIOaJpdkZE03RU0w/HqrXJSgyDzrXIsfqB0W1A\najR6fICTVfHkcEtpTbfVLWTVMHkKPEJIW6jVweuWiKY+ljdb4IWbrKy2i6ae9xbuotnlTVZKBJ6U\nBRfZKyFjaMYXRq9HdwVvVpOV/vkDOOvRj2F06r6mrL/VRJxhkUYYOfVTOMkRpNedX/JYInMai+PP\nhZMYguHZMHMLVb8k4fo0T1hIZGfVTqRC3V4tCOkE0cyqDp6RLBx0biRjsd4NJwMnVSqqvER+fEHx\n2vXr6atHh3/pT0PbaUHYlWrwoh08TaxdNI3OaLJi2ssAULODV21MghCiPgdPCGDTBcBklMDLRLt3\ngBKHepluIHDw0uoqrhDt3R5CyNqi5iYrduFtp6LfR7kxO3ERZ5MV/dweGpOQTqcxMpIfsySkAwGv\nLXPwgiYrZp8yHprk4Okmf73SpZMCLya2PfYJ5Aa24MClNxTcLzwblr0Au2990N4/mZmGnVpXeYVC\nwDMSMDwbs1svx/qj34eVm4dT7XnV8EIRzXAXzeIxCVBxQ8PNAFKqgeFmX2wRTTcioqmFVmJlGpnh\nswse00LTK2rMAlR2oMpGNP1ZeBIG3ORwfW+gAvmIZnt3EKatHLywkC1HrTV4rltlmfCgcwDYeAHw\nyNdKhY+bix6RAHSfg6cFnvT891X94EcIIbHh9VgXTR0hbbbAC8/BqyLw5ubmkE5XaACXW8YWAPPL\nK1g+rmr7ISW2QGBpbhqL+r4uQUoJx3EKavCC8V5tmIOnE1HSTMIz+5on8PzavraX2MQEBV5MlKuT\ns7KzAAAntS5wUxKZaWQHtlRdpzSSyPRvxNymy7D+6PeRyMysWuAJ6QTOXcEcvMgumglYuflAzKka\nPPVc287h+rtnsGLLurfh1vQyHs4AH/1h4ec1IkfxFQB3PbgPtyXOKXhsnTeLLwL4twM2vn2o8HnX\nZlyc5WVxbdH6DOni/3k2vn9I4l9PFD721pyB3wUwjyFc+x+zZbf1pWf14zfOLRW/5cg3WWnvVTvL\n0QIvnjEJhmHAcaqcGDgZP3rpi/BNFwB754H5o8DYmaHlsuUdPCHUY2XqMDsOLfAAJXAp8AghrSSI\naFa5AOd2SQ2ebJHAC89jNZMVI5r79+/H5ORkwdDvMJazhC0Ajp84hUN4OLh/k7AwdfIY9j/8cOTz\nOplkslDIiWB+cy0RzdUbAYWvrS/wN1fg6fKgdl+gjwsKvJgw3Eww0DyMFn123/rAfTLLNBkpZm7T\nZVjccBHsvvVqXdkZrGDnqrZTSBeIcPDKRzTt4D+7NNVoBylMHJtbwYMnc7hwIgmjzlRaP7LIiT4k\nzMInrmAUM2IMO+XhkscGhDo4uUaq5DFPWDCFV3J/v1Q7BTviOSuGcrYWjJGSxzSH5x3ccTBdl8AL\nxiS0PaJZu8CrZdB5TQLPXlHunXbrNl6obicfKxR4bi56Bp7G6us+Bw9Q779/lQ47IYTUQ90RzS5x\n8KjiKfEAACAASURBVNKn1c+GWXn5RnGLmqxUcPAcx8H4+DhSqWhxY2XVudTgyBgmJiaC+6WZxFCf\nVXBft2LUIfB0Qqtcw7y6Xzvk4LlWX9MilHp7233+FhcUeHEgpfqPIdPq6lPIGdOiz06NFzylli/J\nM89/HwAguXzMX9fqG60Iz42swSs3JsHwciVfbM9I4OR8BttHLfzlr46XPK8aQ9/O4uKzxnDdBaXP\nte7diRfax3DdrxQ+1re4CNwF/NYF6/DSrYWP7XigH0OzEte9rPB+KwPgDuCKXeO4aEfhYxsOTQAP\nA+vGxnHdi6Pfw6ceWMCPD61ASglRY22VNBKQEDC8dgs8vwbPqiGiWYPAE0LUIPDSqv5OoztpntoH\n7Pr1/P1OtnxEE1AuWLdk4IsFHiGEtJJea7KiBZ70gPRMfqZq3DhFTVbKuU2TT2DjodsxffZvl12V\nHtMUTkUB/kXymIZ9txt9TlNLF82g22VuIZbXLnbwTL90aNNTX8LM1itg98fzf8ToMYHHLpoxIDwb\nQroQ8GBl5wseS2TyAs8JuSm1OHgaO6UcPCtT6hDWva2hMQkQQs3EQ/lB58INCzy1za5IYCmTxUvO\nrP09BEgPhpcr+/5XRs5B/+KhkqYfQQ1exM5FzcErFSh6Vkr0oHP1t4hq9qLZNGgi7Ugs1xNDFcKv\nXWxzF03fwXNqmoMX/fmFMQyjhhq8TL5JCgD0jwEj20obrbi58hFNAEh0q4PHWXiEkBZTs4PXLTV4\noe1bbmInzYImKxUimj/5OHY++UlUusSrL5AWCzzPTLb9Ym9cGCGRVQ03OQQJAcuOR+Dpz9AL1eD1\nLR3Gtsc/hbGTd8fyGkC4Bq9LLjBXgQIvBsJDF4tdtkT2NCQE7NS6oMkKgMgxAeWQVh9cazAyAlov\nBQIPysWTEJEiSJqpIgdPfbGz0kISDl7UgMAL1lXm/a+MnA3DyyHlu5bFz5MRO5dyTVYqRQq0s1Vp\nBt7GQfU5TS7XV7OgrtpF79THj3wPw1MP1LW+RjDtJfV3jXBmi6mli+bmU/+B1Mm9lVdU7OABwKYL\nS0clVHXw+ujgEUJILdQ7B8/tcIEXPhY1sw6v1iYrk49BwIMpyl/oDQSeURiK86z+nunIWE9EE8KE\nmxiClZuvvmxNr+1HNI0kPD+imVo+CgAwY/x86eCREsJf4ESRy5bInFZz1gyroKNhTV+SEHZqXSzD\nzlVEM78Tkoal3LuICKJqR5sNrmZoEbjsmtiQcrF5qP6ErxbDUV00ASA9rJqr9C88Xfi8wMGLEHiG\nFSlQzKLtDqP/FpVGJGiBd6pOgeeZqbJX7c548hac+ejHVGfJJmI5S+o91jBWo5aI5tkHP4+JJ/+l\n8orslQiBdwEwvb+wVbRbockKoCKadpccFOngEULaSa9GNAFgqYkCz83l57GWE3ieBzn5OADARPnP\nLR/RLDwncs3+AgOgm6mnyQqgLp5bcUU0daM/I+zgHQGQF2VxkBd4XXL+UQXW4DWAlBJ7vvwoZmZd\nJJOz2Oaewv/xH/v+o0fww1/sCpZ93+IJLMoxfOg/VafGz4kBDMo07jwCfGO6fPfGYj6YHYUxNRms\np1Het7iCUYlgPbe4BnJIRq73jSsuXu/l8KWfT+M6AJ/bl8OjT87go56FLcMSjYQQtRguF9HMDG+H\nhIH+xacxh5cF94sK8QApzGAHW/BalQSedvBS1R28qUYEXpm4h+msILVyCv2LB7EysrqGOZUw7SW4\nNQw5BwAY1Qedm04a/QsHK6/HiRB4Gy9UtQ0nHwa27faXy1buNtltDp7Vr947HTxCSKupVeB1W5MV\noLkOXvhCo5lUn0/xSJ/5wxA5Ve4gXLv8GXO5iKbVH1ujkXYTXGSvIaIJAE5yJDaBZ7g59dkaZqnA\ni1FAB3PwesTBo8BrkMmlHJazgOW62OTlr9z35WYwG9pBjbqncUqsx+yKum9RDmIQacw5ieC+ml7P\nG8UuebCu50TheS5y0gjWY0sTy6Ivcr3zjj9OIbsIAJjOWZh3PBhWApv6PRxp4PUriS5AxUKzg1tL\nxESQ/46qwSvjQAViMiIOmh3YgtnNL8bihueX3dahpIGBhGjAwUuW3UHondH4sTtxrNkCr5YRCVBX\nHSvW4EkPlrsCuCvAymz5TpH2CpAqmil49kuBvjHgy28G/se/AxPPUgIvNRK9DqDLumjOASNbgJmD\ndPAIIa2n1tq6bqnBK4hoNrEGzwnNY9WjfTwn/zNQUF5geDmUO0oGDp5RXIPXF1tMsd0EZTK1OniJ\nESQz0/G8tpcLzv3cIoFnxui2GWtxDp4QYg+AtwF4LoAvSinf5t+/A8DTAJZDi39ESvlXZdazA8Bn\nAVwK4DCAPVLKHzSy4e1ECIGv/M/n45577sHExAYMTx8G7lWPvWpbBhc9d0Ow7PbvzWF0y/Nw4/PU\nfSM/GgUWpvCqC8Zx2fYNUauPZNujW7Dh8AO48b/X/pwozrvXgPD6cOOL1XqG7kgilRrGjb9Sut6N\nT60DHgPecT6Ah4E9L9qEzPAGTPy4D3aFuEIlKsUmNSsjZ6N/4amC+4I2uVEOnmFFC7wKkQJpJnHw\nksj/pgVsGjTrrsHzjFT0DsJzgsGf6479EMee/c6aIpTF6zhz3z9i+sxXYGVsV9nF6hN4lSOa4bjC\nA9/5F8yNXRi53CWzU8j0GXjkhz8suH/wwutw0cPXQdx8Be6/6MN47vwM0rkUHi1aTvO8+WUknQXs\nLfN4K3nuc59bucV1Zh4YPVMJvBwFHiGkxdQc0dSPS8DzAKNDK3Ra6uD55xP+CCvVACwk8Cb3BT/q\nRm9R5JusFEU0rf5YI4TtpK4aPKiI5kC11E+NCDcbOIee1QczVIMX5+er6/nWWkTzOIDrAfw6gNJ2\ni8CYlFUyXoovQkmh3/T/fU0IcZ6UsskTLZtLQQ1eqBGKcHNI5OaR68uLJ93V0DWjPsby2H3jMN0M\nDGclsuNlrQjPKRjjIIUZOeQcyNe76Y6MWpRJIxEIlXoJHLwKTWZWRs7B2Im7C95rxfx3AxHNWtk4\naOLYQn1iVpqpyIOBFrfLo7swOL8fQzOPYmn98+padyp9Ahuf+XesP3oHDrzgQ2Wfb9rLyA5uqW17\nqwg8PXIBAMadk7AHXxC5nCVtiOQABgeLRjMMXoAnXvhRPO/ud+LM2XthwoWR7C9dzsdIpGA6XtnH\nW8Xc3BxWVqocPDLzwLZL1M+MaBJCWk2tg87Dx2zPAWqM2rWc8LG8mTV4Tq4wogn4n2XouFPk4JUj\n32Sl2MHrDzozdjuV+iBE4SZHYMbWRTMXXNz3zD4YXhZGTp0TxlqD12MOXk2XcKSUt0kp/w1Aw10+\nhBC7ADwfwAeklCtSyq8DeATAaxtdZ6eg/1PkUusLGqHojpp2SODpTpr1N1nxh51HNFrpX3gKWx+/\nuabGHSVdNA2rbKdF/YXSOWrPSPn3J4Ki13rJ1+CVF6krw2dDQKJv8Zn88yrkv6VhQUCquTnh14pJ\n4E2mXcg6mqKUi2jqHdHM1l+Da/Zh/NidZdeRXD6Obfs+Ufqe/M9BeDbO+8mfYWBuf+TzTacOB8/w\nBV6Z9xjegQ4uH4JlWZH/TC8LJPojH3PGzkZ6dBdGZx6CIW3ATJVdD8wkDOmWfbxV/0zTrDz7z/OA\n7CIw7AtpRjQJIa2m1uYp4SYiDR6/W4K+2JgYaPKYhIiIZnGH0cnHIH1BU2meXbkmK14LHbyxEz/G\n+JHvN239wUV2o1YHbwSmmynbUbweVEQzL/DCxCmg8zV4veHgxeXRHxJCHBVCfFYIUS5DeCGAg1LK\nxdB9P/fvL0EI8ftCiL1CiL1TU51t8Oki2uzg1gIHL7Gi8scFAi/pC7w6xiSodahh3FGjEkZP/hc2\nH/hSyWiBKMKDzgFg+qzfxMzWX4tcNu/g+QIvNOi8WlOOcuRFV/mdRHZAnTAnM/m/ez7/Hd1kBUCJ\ni1dvpCCKjQMmci4wn/WqL+xTLqKpLwTYfeNIj56HvsVDZdcxOvlTbDr41RJBr5vNHH7uNTC8LEYn\nfxL5fMterrnJSiD4ZfR7NB3l4EmIio1WDDdb8bNemHg+hmYfg2UvQxqJssupuXztPwERQsC2K2xH\nbkl9ZkOb1O908AghrabmOXghh6+T6/D0dg5vBpbjqeGKpKDJSiiiqXGywPQv4G14NoBqDp6uwYuI\naLrZssfWONlw6NvYdPBrTVt/IxFNALE0WhFuLhTRzJsDmYEzmtRFcw05eBWYBnAJgO0ALgYwDOAL\nZZYdAlBcbTrvP6cEKeXNUsrdUsrdFWtgOgD9nyI7tE2NSfCdEF1gmusvjWjW6yrZqfICT+94Buee\nqLqeYgfv1LlvxOzW/xa5bODgBRFN7eBZDQ/y1gKv3JgEAHB9RzH8xQ23yS3ZTi3wimKGtYjJajQy\nC8/z5wcWY4bcS8/srzgAVb/f4qinjsbm+jfBsQZhRu08pQvTWa6rBg8o/fzy263+DivDZ6N/8eny\nTp+brXh1b3HDxRD+tkmzgsATVsMXEOLEMIzKDp4ekdC/TjWGoYNHCGk19XbRBKrHOdtJIPC2AEuT\nzRsp5ITq7cIRzZ9/Cfjh9cDUE4B04WxSZRCVLjrqJmWlg877ICBbIhiEdJv6OqqTpQEYtVV2OQnV\nSC0OgWd4ueDifnAeKgw1NzlGt82kwMsjpVySUu6VUjpSylMA9gB4uRAiSrQtAShunTcCYDFi2a5C\n/wfLDpyhssG+zZvIaAcvL1CbEdHUrs7g3ONV16MEXm1fUC2mzNyC36LW76ppJFcf0azgYOrIqHaO\nAPWF021yi9FXzaIEnmek6m9kEqKRWXjVIpqu1e8vU14kayFXLBRFKAfvJkciO3SZvtCoVeDpz7S8\nwFN/h+XxC2E6aSRXTpUuJL2CTldRLI0/J38VrqKDZ1bu6tkiahZ4faNqPAQdPEJIq6l10LlbVIPX\nqciQg+dmVQy+GbihcT1GqIvmg/8C/PhG4KtvAwDYE89Vi1Q4XgcOXsSYBPXc5h8bhOc0V+B5lS/g\nFhM4ePbqu4gaIQdPmwPZgTPgJoZjHUORr8FjRDMKfaklar37AJxTJP5+yb+/u3By6P/y67B18i4A\nKgPsGQnk+jcCyNfeJTPTcM2+YOYa0LiD5yaHIYUJq4KDNzBbg4PnOSWFwOXQJ+uWvViwvZERTSmx\n/aG/wa57/hi77vljjJ66N3Kd+S6a5Wvw3EDg5b+4lcRDpYimW2cUtphGZuFJMxWZO9c7D8/sg1dm\nGY0W0EZR7l8fZKSRKDtI1HSU4+rE5OBpYbo0/hwAiIxp1hLfkGYyWEfFiGYHOXiuW+HvHgi8EVUv\nQoFHCGk1DTl47d+/liXs4AHN66Tp2tERzeVplcqYOQiYSdjrzgNQo4NXHNH0z3NaUYcnpAtRIRW0\nWqqVYBTjJONz8EREDV5maJuqcYxJPAvPhuHZkDD8WG2TnOMWUpPAE0JYQog+ACYAUwjR5993qRDi\nWUIIQwixHsA/ALhLSlki2aWU+wE8BOAD/vN/B8DzAHw9vrfTIswEzBMPYDBzHID68npmfz5GmZnx\nb6dV/V1ocObCxksxtf1VQZ1ZzQgDdmo8WHfBQ/6OZ2DhQHVnrSiiWXFRUzdZWSz4YquIZrHwyGDD\nke8ikZ1B/+Iz2Hjwtsh1Gu4KJIzKJ/hmEp6wShy8cgM2A0ey2MFzMquKZwJAn2VgNGXU5+AZZSKa\nQQfRfn8Yev0RTRFqNlNukKjuehq+sFCJcgI5WJ//d1hadwEAqJhm8fZWmFMYZsGfO1hpWKqqwWv/\nCYhhGJVr8EocPEY0CSEtRMraB5h3TQ2ev226trlZAs/JhpqshCKa6Wnggt8GXv0J4PL3BxeJa+mi\niRIHTz3XdJrvCDU7oincvMiqBS3wzBjmABpuuIumEs3ZwTPhmvENktfpMic1CgGvIy4yr5ZaxyS8\nH8AHQr+/GcAHATwJ4EMANgJYAHAHgN/VCwkhPgkAUsp3+Xe9EcAtAGah5uC9ritHJAgB2TeGhO+U\nGE4GrtVX0ggluTJV0GAFAHIDm3H4ee9u6GXtvvHAHQyjXR3Ds9G/cBDpsWeV3/RGIpr2ApxUfrh1\nVERTW9qTZ78WqeVjmDh0O4SbK2mKYrhZtdMLid7I17YGimrwyu9ctCNZ6uBlVtVBU7Nx0MQTp218\na/9y9YUBvGxOYLNn49tPLhSI6Yvm53AOgO8flnjRgoHn2Zmy63z56TS2ALjv0AKe/v/Ze/MoS7K7\nPPC7N7a35MvKrL2qu6tXtboltdRSa0VoQRIgiUUMeED2MWaxD7YxB+YcG+PBc0CAPQNmPBxsBIIB\nMwYLBgyMB4NYBi1IQitSL2r1vlZ1dS2ZWbm9LbZ7548bN+LG+iLixcusrIrvnD7VlfVevHgvMyPu\nd7/v933r0WPu2R7idgAfPevhbdMezkyeSx3jlvE6Xgbg05d0PL87+5zv2/JxBsBfPb2LoR4n3oQA\nfzcgjG7nGOzuiRwFr1xi6e6x+4DHfn1myAqdZwHCGc489AvYvOHrCovsZ4EQ0lo0W7RocfVCvU5W\nSdEsSITcd/CEgjdcUJJmVsiK5wDjK0DvKHDv3wMAsMe/CGCGgpcTsiLJyF5YNMF9sYnM+cz1VfJ5\nt/3tT8OcroETivN3/UMMj7469TDKbPAKFk2/cQUvCPnTpYJ3E3RnO1Au3cI1RRnI0SrXXIVhb0K7\nBubwSq30OecfAPCBnH/+3YLn/ZPE358D8PZSZ3aVQyV4mp9U8DaCP9dDS1oT8PWlMMZVBWUOfL0H\nzRujv/XYDILnZc6xZSEkeP4UTkLBIzxJ8AKLnt7BzrH7cOLZP8TS5sOpBXZZVc03+rH+NXUHJwlJ\nWJMWQ60hgveSwwY+8tQYv/lguVkAS+N4uwH87kNXMEH0+t+rbeF9BvB/PeKjqxPcqzm5x7xVH+NN\nOvDxZ7bxcRY95ru0XXy7AfzOow76ehe3abupY3wjXcf3mMDvPwU8wmef80hz8c0G8Adf3cEFpC+S\nX3N8B7cTHZwacDvHoDtbqceUTdgaH7oDF2/7H7F94o25j5nXonn4/Mdw7Oyfwtd7cxE8TdMwnRbs\nvIYEbyWwaLYKXosWLfYQ6lzYNROyEiRODk6KPxem4KkhK0b0WtwH+kowHsR6qXAGj2XP4MmO4b2y\naIpzcTPTxvOgO9tYvfgpTJZuRmd0Docufz6b4FW0aHJqwNd7mTkBVaHO4E0Gt2Lt5m/B1smvweHz\nHxf/7k3gm/MRPFm34FkrwC6gsYM/h1dWwWuRAO+swNiNFDymd+AbAzBqCAWPcxj2RkrBmweMGpm/\nLIS5sHunYdgbYg7vlvflHoMwVtmiCcQX7owaGRbNaL5seOSV4ETDYO3LaYJXknT5elx6p37BDF4Y\nEpKewZvXogkA33/vAO9/ecnAEgCnnz8CPAb8xnsOhYPGAHDTMzrwJPBL33IjbnpmFdbTLn7rW4+k\nbB0A8JKHdeA88KOv6+L7Th5Xjm0BjwG/8J5TOHXuBAZPTfDb37Ia2706cV4DHgZ+8uvPwO4eTx07\niRPnV4GHgV/8+hVMe/HH/9CfrUHzRiL4hhAwLf29BxAmgs78vImG8y//p4UPERsIfvWdSIjfhdOP\n/2ZwTvWSXsNjEVJuBs9aFgqe0xK8Fi1alIBnA3/0A8A7fwI4cnv941QheH4FtW8/sVcWTd9Jh6zs\nXhB/9qJ1m8PEPahYwctL0RQEr2xXmzk6jxsf+VU8++ofB6+YHyDnAKk/hV+B4MnnXbrt7+CGx/5T\nruWRVrRoAiJJs5kUTTtcj3LNDF1wKoGWimERli9/AYcufRbn7vmR9GsE79sN3GrXQpJmS/BqgndW\nYGyKNEHqT8QwLSFiTs6+At3ZBmUunAYJHs/pn5O/eKOVu2ZWJRDulSZ46i+zmp4kziNHwdMsML2H\n0crdWF7/Ml5MneskHDwugq/3QZUZPMKcghk8adFMp2jKqN55QAhB3yxPNHRTXJiXNBeuGY25drhI\nAu1ZVviYgeaB6emdJ5OI73OXeuirx6Dic+90OiBdQR6XMYRnHgkf02Pic7N6y9CN2WO2piEuAz2d\nQTPjj7d0ApNNwuAbTg0QN237bKJzUCLq5fOBknZiiaNnPwJrfAEcZO4uvVIzeOYSoOlBKW/aPt2i\nRYsWKWydAx75b8Btb5+T4FUgbVXsnPsJ6cTRLcDoLzBF01EsmsHaIiR4h8OHuVzcE8vM4KV78IL5\nvZIzeIcufR6rFz+Ni8OzGK/cWeo5yXOgvo0q+mzofKJasLGePdZRZ8PcMw9Bd5vqwUuvk1QCXeZu\nf+jiZ3D8+T/Giy/9/rCTWkISW89cEX+fc4P4akDTKZrXD1SLpjcJ43Bd6zDMyWWlIqFBgqcZmYtW\nwoR9cbRyF7rD5/Gyj38fXvrpH4JmZ6h9FUJWVEKlqm6C4LFYqAn1xAJfRtjuHHsNeltPQHPiF2ct\nUDtnvnZKwbNzbQd5Fk2hFs5POKqCB6+Z3AGi/kTsOBESkmeSY/vIDVnxoz7AvCJRzRuBg4SkbOb5\nFqRoWjqF6Y/DYzFqhBUO8fdWbgav1PkEF/LKQSvMw6knfhu7h++B0ztZu6tRghACzjkYyympnW6L\n+TugDVlp0aJFechrkzNs5jjAtZeiSTVhnVzUvGAsZCUgDzsBwVMtmmUIXmjRnG8GzxqLLfE6wSQq\nwav0POXcRfZB9n2MVKxJABAEwTVg0WTpPAegugVWD9bsWUFx8nt0LSl4LcGriVjIij8NCd7u0ddg\naeMhHLr8BQCA022upJ2RPHucULeu3PgubNzwTridw1jafAS9nadSjyXMT+0y5YHTfIsmEJENIG7R\nBMTnQMAw2Hggfq6lLZr9eIomc/IvLgu2aFaFJG9JgqEFaaviMcHOXk7fivw+J49BmQMOAhAtd4hZ\nc4eCkJXs/+MFPXiWBlh8EnYT5nUghgpeQTpmWUjCSSvO4XVG52HYV7B+5pvAqDm3RVMin+BtJQhe\nG7LSokWLEpCLx3nVqRjBq9KDdzXP4AXXfaIJFW9RC23fiZQ7Ld+i6TFRqk2KiGao4GX34JVNerTG\nFwGgnupVl+ApATG+3gt7dJOgGaF5s5BX5VQJnIMyN3P9N2sdlYRMGM8ieKGCFxA8bYGVE3uFluDV\nBO+sQGc2iO8I/2/wg3bp9u+Eb/Rx6onfAtCwgkfzFDwXTDPg9E7hudf8a5wN/MWGvZl+bAWLpjrX\nFatJCHap1AV4ZNETn8No9W74WgeD9S/HjilIV7kZvFiKpu+AadlDtKGCl7RoehHx3kvICxFlOQpe\nwWMkimoSODUBQuAZUsGL75Bp7qh8yTkUS2TGTb+jE3TYBL4hFTwzdU5A+vs/D8Li+oq7zNboBQAi\nXUv8rsxP8AghJRW8NmSlRYsWJSHJgj2vgldBlYtZNK/mFM3gekt1QcC8BVnlPFsheNKiKQiWquC5\nrjtzwzBfwZNunnIExBoLgllH9YoUvGrhINH8IIVv9DKD/MRx61g0l6HNSfDkWihr/q8qgQ4JXlYS\neGIGryV41zF4J/DpurthiiYgCskv3v7+QGmhYbJmI6+ppWffgHTCpBe8pp4keJxXsmiCkFCRiRE8\naS9ULniRRU88jlMD06WbYE4uJc61nG2SZSh4vHLIyv5YNOVrJovMRYKoIEA8R+WTkN/nlIKnDDqH\nRaKJ3T7dHdYieFkKnqkRdHh8Bi9TRW50Bk9abisqeMNzAATBY5qZeZ6Vz6XIomnvtApeixYtqsOT\nCt6c6kYV2+VBmcGLWTTNuErZFJyxUAa7Yh0XKXgvAuYgCl8B4Hke2IwNQ5Kj4IFQ+FqnHAHhHGZI\n8Kr/XJDgPpW3aZz/PEnwii2atIZF0zeXoXujuX7e5NoiK0Xdr2iBlcnsWQRP88X79qyV2OseZLQE\nryYkwdOdHVF0rihFl2/9drjWYbETULKSoAyy0iuBdACJr/dFmqcjCB7xbdz1qR/EPX8lKgrLWjSB\naMGeadFkqoInS7wjBcc3lqEnZvCoPymlqvl6N+h0iWwHlUJWOC+tFjYNljODpynvvbRFM6XgueHn\nkD+DNyxdcg4UE7yOTtBTCB7TihW8PBJeBXUVvM7wHFxrFcxYylUa6yA3STOp4Pn21W19atGixdUB\neW/Yyxm8KmrffiK0aNLFWTSHwcbzUlDFIN1K0+1YwAogCZ6ZOXsuEd0700tqpnVLzYjpzqZY86Am\nwatp0YSSACpGYxpM0ZRrlDmCVuR9PGv9V1vB231OpHQroKmQlZbgXbfgXSHjGtN1EPDQegcAXO/g\n2df8OM6/7Aeafc0ciyb1E70nhMAzV0IFrzN6Af2txzBduhHrZ96LzVNvK/2amQqetGgq56JlhGx4\n5gCamyB43jS0sxZBEhT5S6cWXSaRFbJCmAsCti8EL0+dE1ZeSfBmKHg5Fk3KnNA6yzUTvtbJsGhW\nVPBotsUVACyNoAt1Bm9WyEqDBC+DcBbBGr2Aaf/G4Bh7MYOXCFkBWhWvRYsWsxFaNOedwQuOo3dm\nby4dlB68MNVRX1zISkjwgioGdf3Uj4/V+L4v1l4zevAY0TNrfZjeKWWbtEYXwv+fz6JZM2RFzuDl\npGiSOhZNY/6yc3kfz7RoVpzB091hmO+QcpcFo1aRKnjwUzTbmoSakAqeObkMID17NE/Bcu5rUgME\nTFycFWVQKHjx+TTXWoFhi0JqYyISPV986fdiVLF4XZKVWIpmpkUzbdHzjUFaXSoZshLtzIzBjKXi\novMMi2aThKMq8ubrNG8Cuy8JXrkZvORFhiR20bI87po7gr9cXsEDyba4AkBH4+hjiu0YwXNSHXUL\nsWhWnBPpDM9h6+TXBOdhgEznXxjkzuBxnlbwAEHwrPLkukWLFtchvIZDVozuNdSDp1o0reizahJy\n1m4gCZ6yFO7FCZ7neTM3DAn3cp1RyU7fPJhBwIqn9+sRIll0XjdkhWjw9Z54n8wTBFuC+aDc1z0/\n7wAAIABJREFUq+zQCcdI5kjSlGugrNdmYQ3F7M+X+A4os7F99FU4dPkL6O4+C6d3Mvx3mYYv1zAa\ns5GztXtg0Cp4NZEieHsQ5hFZIxMddCxNfjxrNVTw5qlsyFLwGElb6Kg/FeenzPd5xrKQ5gMpnDAX\nhPulUzQBhAO/lNm59oBwsFnZlZQEr4xa2DSilNHk/NwkfO95Ns7wsYUKnmLHNZahuwkFzxtVsmjm\n/VwBwDIN6i/0KGQFyJp3DIKGSiZ3FiEk7BV2mTVnF4azBXvppuAYzSh4uTN4zlCEAVhBz2Ko4LVB\nKy1atJgBeW+YO2RFErxetZqERVUPNAF53ScLnMEbinVbGQXPdUWIXWHROfNjax8VTOuWmhGTFQnj\nlTuh1bA0zh2yQvXQqZMMWpEb0VVTsvPGSCqdX2jRTIfscWqAUaNUkbxUJoeH7wEAdHfiSZoiBK8X\nChhaO4N3/SJJ8MqUd8/9msEPeMwiJyNkE+THNVdDBc8MCd4RVEVkB7RSX1PPQw0QkfDMAQhn4dBu\nFZXHVxQ8MA+Es/wZvEIFbz8smhnfp+CckimaebttuQpe4nudiiHmXBA8o8IMnrSLZhCiZRr40rVA\nwdOyyaDmjhvb5KgTshImaAYWzYXP4E0DUt1aNFu0aFEVIcGbV8ELrpFlFLyDErKiWjT1RRG8i4KQ\nSbVOXT/1onWS3ODjmlVo2StKJ08mgufBGl+AYx2B0zlez6LJ5u3B08KN3BTBq+nQkQrePEmasyqY\nys44yoAVp3sCdvc4urvxoJWwxopQMGpVDqu5GtESvLowl8BAYU73V8GT/5+p4DmbAOcwputwzdVY\n7UHp18wIWcla5GcFmvjGAACgB3N48pewXMiKnMEbhxc7ebFIIiskJLwolChVbxrye0ESRDzeg1es\n4IUEL6ng+U7s+yiKRHeUf5+CcFZRwcufB1wmgig7VBJTI/Oxmj+u9JpFqBOyoiZoAoK0NpGiCeTM\n4KUInrRotgpeixYtZkDaDp0mLZqzevA8MasHXN0zeKFFky7Oojm8BCwdF68BxO2ICsGT1/68/AOJ\non5hpnXCjIIiWOMLcHqnRPJkVULEmRjfQZ0ePDVkRdzHkkmadQleqAiWTLnMglwD5XXwMa0D6s3+\nfLWgt9ozljAZ3JZW8LxxtAGvWW3IynUNQuDqS/uk4EWL6zz52rVWQJkL6o1gTtdqqXdANNiqkjdG\nsgheupIguXtTRVULLwzuGIZ9RRwvp3JC7cE7cvYjuONzPxZ63vdnBi+biBPuKyma9S2a6k5WkuDJ\nlKgqISuh7TJD8eoT8TlOiTjvTPIKgLrjWNDQPIhCVqoRPE4o7N5pAEHi7CJ78FoFr0WLFnWhhqwk\n0vyqHaeiRTMkeA0qeL/zXcDDf9jc8dT5r0WFrOwGBE+CkChJU7FoMsbEPWDmDF5+/RQrq+CNLsDu\nnxJz9f60MNQlBR7do6oreLMtmvJcqtYkFG0e3/SV/4ATT/7O7PMLXzub4InE9TIKXrQ2mizfis7w\nbOwzVuvOmNa5JmoS2pCVOeDqS+iFM3iLV4p4BnHI293wgrJGw96EMV2H0z2OOpALevWXK8uCSDPC\nU8IEJangVZiLk8Xamj+GMd0AkG8x5UpIyGD9ARxa+yKGQZjMvlg0syyswQXID3vwZil4TvDvburr\nsc5D85BIKuViBkD6zCvVJBQkeg4gzntCezCQTwY1bwzWlIKXMeM5C53ROUHugoUBz6lzqINyFk0l\nZKVFixYtiiCv+8wTCpVR8z4VS9EsUZNgdIHpVnMEj3Pgib8ADt8OvOI7GjqmMs+2yJqEwan41zRT\nkOBenOBxzmcreEUhKyVm8AhzYUzXYPdOKXNr23C7x0q9nbh7qeoMnqylSFs0z267eGrTxfHJNl4B\n4KENjidzevIywTleDYLnrwzxN8/Fn/f9F/4WjnECHzO+rfAQL9ke4iUAPneJY307/dqnfROT3RE+\n9lzxed25fQV3AvjMZQ0r7h34du7jiUe/jHNLrwQA3DwZY50fw8eeG+MWbuLKaIoL2w7uLv9urzq0\nBG8OuPoS6FQMxrI9UPCy++eydzfcoMtDt7dgTtYxWn15zdfMSNHMVfASFk0zadFMd+XlwQ9mvqg7\nhhHscOaVxqsx/9LOefTsR1LnvWcgFJxo8c8nfO+BEkZ0cNCCFE0v+DNp0UzO4C2DgENzhvCtQ6HP\nvMoMXljMnqXgBQRvhA5WkK0iA+KG4JS8Gc1CHYumNXwB06Ubw7+HvUWJtM+qIITAdV2xCPv1dwFf\n/1PA7e8oUPBai2aLFi1mwFOun/ZufYIn7zGlFDyveQXPdwDweIDLvFBTwjUz/lk1heEl4PS98a9p\nOuAipeABwslUOIPH8mfwWIkUTXN8CQQcdu9UuJbU3Z2aBK/a56WGrCQtmv/xC9t4ZsvDa8gmvscC\n/p+nfPw1q2Yf/SHLwEMvDvHBs/Hn/V1rirXJCB/8YvHx/o62gW8zgP/8sI3nePqxbzYM6GQYO87P\n6b+Gs/w4PuhH5PH92jreZwC/9hWGIW7Gt1oUa09+AR/0bgEA/D1rjIdGGj54aQfvMXVcGE/x4MUp\nvr7Su7260BK8OeDqkQ2uKXtaEbKUIUkikgRP2hnNyWXo7g6cGgmagGrRzCo6T87gxT8DqeBJi2ZW\nV17u6yohK3I3KZfgKaEcuiOCZayg42Q/LJqAtAiqPYGJ+UNCwDQrW8HjDDTYVUuHrCRm8AxZJLod\nELzAhtDQDF6PBwoe6WMF0c8DSSiLwr/esIJX1qLJGTqjF7Bz7L7oS4qVNM+7XwaUUnieB2w+D1x8\nCDj3hQTBExsprYLXokWL0lCvtc4ugJqbY1Vm8JgXbUQ1RfDk9a7JIBTmKxbNBYSsMB8YrUUJmhLy\nPqHM4En3xmwFr8CiqXWCaqH8pE1rLDrwnN6p0G5ZJWiFZCSIl39uFLKStGhemTJ87U0d/PANXeAB\n4AffcAzvX622ltQ+aeHdN2m4+c748459ysWg4+NXXld8vHsffgz25iH8q7ffnamS3vHgAB17Hb/y\n+uA4nONdn/oiNg+9Aq94VXTsW58H8DTw099wBr7exe7f3oXvxmO447XiMcc/aeP1N63gV+48itNf\n6uMYd3H4toNdedQSvDngKgvavQhZiSyaSv+ctGhmzOABQG/nSfH3mgSPF4asxFMr3cAWKiHnwJIW\nzTIEj2umiL/1xqD+BJ4xyF+o0yhkRXe24ZorMAKity8KHgTBiH2fvLhFE0AuwYt9rjNm8HwzKhK1\nEUUBV1HwQLRcNbEbKHhDbgXvKzshVFg0m5rBq1aTYEzWQJkTViQA6iaE0wzB2z4vvjASibQRwZM1\nCW3ISosWLUpCve7Pk6TpV1Dw/AXM4Mlwiybn5Lgf1e0swqI5WhckqgTBCxW8WTN4BSErcvOfelOw\nnPuyGRA8u3cq3KStkjyZFTBX9bmcaOF6SfPG4Jxj12Y43tdw2BQ/L8v9LvR+Rdqgm1iiLo4nnqcz\nGya3U19XQd0RTqx/Futn3oNjg+y1nG71YE6j4+j2FRjeCB3ixY59iEzACcWR5SWAEExO3IdTT34Y\np8wpfL0P3Z/A6izheF+HbnSgOUP0jIMdU3Kwz36foSp4e6EUZYZ3SItmcgYvsGj2tp8CUJ/gydeM\nEbxAYZlVk8A1E77WqRWyAojuNeqNYdibueqdOB9JCDwY9jY2T78dXkC+94vgscSOX0rBg/ieZQ1S\nk4wQnfDvqaLzyK8PRFHAldQ0QnLPpRsoeEPEUzSzZvCaUvDCEJ+SCp7cQJCfBRD9PswbtBIRPFHD\ngLFC8Iy+CAEA2pCVFi1alIdKiObpwgsVvBIzeMxdoIK3KIum0bxFcyhLzk/Gv051QfKsQXQqQchK\nqRk8kpeiGbiRCubwDPsKOAhc67BSDl7BCqkSvIrpj1kWTc0bY+xy+BxYtmhY51Rnncuola6D4hzU\nd2aqjSsX/waUObhyw7tyH5OsoZCJ2qkqJ28IX18KRzZ2j70GBAxLGw9mhOBdGyErLcGbA5LgMWrl\nSu9NIlJPVIUnuyYBVINnLKO3LRQ8p1uX4GWkaGYEbWTVJACyiLv6DJ54XA+aJ0JW3M5sgqd5I1Bm\nw+kew9apt4KD7ktNAiC+V0kCDMRnNcVFJH2BoxkzltG/uamaBCC6GUQKXjVrQV4xeIdPYHMdE2aE\nj5PnEb0RD5Q5DaZoRoS9DEJ1VHl9nmM7veGRX8XN9/9c6XMJZ/AkwVMVvE5EKEspeC/eD/zCK4Dx\nldKv36JFi2sQXtMKXpkePH+BCl6TFk01RdNq3qKZLDmX0EwRsKLMbMuQlVkzeOB+eN9KgoUKXhHB\n2xQblFRTXDkVLJrzKHiKRRNUEx1w7gjbtlAvly0avndeg+BldQgS7oGAzTzXw+c/Crt3CqPVl+U+\nhmnxFE1r+ELwvpJdvUN4yrpotPoy+FoHy2tfUtYQ4veD6W1NwnUPSfD2Yv4OUOeKMmoSMmxorrUa\nkiu3U8/jz8MZPCVFMyMEQ8uoSQBE2bnuVE/RBISCp3miJsG18mse5PnItE3PXMH5u/8hnn7tB2p1\n/zWB5I5fmKKpEE5BqrIsmsFcJdHjShnnGTUJaQWPE1pZuWSambJdAkDHH2OILmxfBN1kqcjSr79f\nM3jRbKdCnnPSPgcbD6C/9Wjpc6GUijmMUMELyFmS4GmG2OQpUvDWnwS2zwE750u/fosWLa5BqAtb\nZx4FT6ZodoXtMKvSRX1s0wRvEQqeOqummeLvTfb27QYKXorgGUA/vs5IzeDlVFoUhazI9U4RwdPt\nK/CCsRpODfh6r5KCN0+KJhQFDxAJ5po3wU6M4M2h4GnpdY48nlbQX6fbV7C89iVcueEdhUFpYQ1F\n8L3pjISCl1zP6O4wtvHNqYHh4VdisP5lxWHVC865Uzms5mpES/DmQKjg7RHByw43yZ7BA6KqBF/r\n1F58+3pPKGGaqo6Uq0kAAM8YQHOTFs1yn5cgeCMY0yup+b4YCAUHgTEN+vLMQ/Csw9g+9bWlXmcR\nYJoRqziIevlUBS+9swVEpMQ3+rF/D0vtFbLNtA4YNRQFbyi+1xWTIxnNtmiafIIR78D2ePDa6aJz\nSfCam8GrlqKZqeBlVHkAgDFdn5loFjt2aNEUN42YRVMleIQIFa+I4Mn341a8Abdo0eLagkq27Iql\n1rHjOIIM6cE9gRcQIeZGaZ1NESa5QG80RZNFFk35vppcbA9FAFuK4Bm91NfUGTwClvv5El5QdC4D\n4wqIl2FvxdY4nrEM3a1A8ApcP2WfKwmqXHftOgrBCwha1R488Zy0+iktm5TZsQ4/FUfO/SUImCB4\nBfC1Dgh4uG7KtWgmCB4A7Bx7DbrDs1h98ePBsa6tovM2ZGUOhAreHlQkANHCN56imV8CKS8Ybudo\n5QW/xPpN78V4+Y4YqUj28YX+5SyLprmMzvAsgKBIkhrRxXsGmN6DNXoBlNkzi9o51WHYYvEtd8L2\nEykFL4OEiF2iNCGQ31+m96C70e5uZmIqIfDMVej2JgCh4NUh81wzM+0Spj/GJnqKgpcuOqf7rODJ\nzzDTRqzeWJgPY7oZdiyWOnZqBm9D7BROtzMWCN1ii6a8CRfsWrZo0eI6gGcLO+DOC/PP4GlGZGlk\nXjQXnHqsJxQxojWnuC0kRdNTZvACQuHZ0fzgvBheEptzyWqKb/4/ItItTyUgeOqmNssgcoT7YCSb\n/JSxaOr2Jsard4V/98zlWhZNRvQaPXgyZCVQ8PQeqDcJLZoDM7Jo1lPwrFRxurrWoL6d2hym7ggn\nn/q/sXP0PkwHtxYfP0xcn8DTLHQCi2aqyskdptaRG2fei8PnP4obH/0/Y8fKTTg/YGgVvDkQKXh7\nM+cVEauMGbwMi6YkOnUDVgDAtw5h9/jr4l8kJLAPitcuku89YwAttGjalS4Qvt4L44O9gpAVQOw+\nSQXPVcI29gssmaKZZSPM8fXL76+v98XFN9htzU1M7RyGYQt7quaNqiVoKuebNYNn+BPsohspeDQd\nXhJZNJtW8MrtMofqaNYMnnKehn0FBEw8PsdqkwSlFK5jC1ulHsy5TLcCBW85/mCjW07BawleixbX\nN3wH6K4AIPPN4LGAtKkEr+ixVBf/NT6D19DxgIRFM7jXNa3gLZ1Mf/3Uq4BjL419yfd9kCCEDECm\nywWQFs38onMAmZu5EoazFXYXA8KFVMeiyfRe7RRNmVzKpIIXELxDQcgKB6k18sJpmiwlCV4SJ575\nr9DdHZy/+x/NPH5IoP0JwDxYY9FNnQ5ZGaUUPN9YwhNv+vfYPXxP+HdAbBZr3G3WGrwPaAneHAgJ\n3h4peFlzRWGKZpaCZwoFr24HXhHUEJGQvGQs8H1zIKwGnGcmbRbB13sggXxfFLICBAQvqEbwzKtD\nwUv24CXVy/yaBPE8SdQkSclLTHWtwzBsQW7rKnhMszKLzjVvjAk6oYKXVG/lawLIjYCuiojgldtl\njmY74+QZiN+QjalQeAn3Sx+bEAJtekUsME6KmwBGG2mLJhBYNIsUvOBm0SZttmhxfcN3osTGuUJW\nMhS8PDC3eYK3sB48adG0mj/+7iVg6Xiph7quC0pp5oahCsK9gpAVWT2Qfd0nvg3NG8c2sT1zuVJN\ngry3+HovnVg5A+H8YODyEhZNMYNnaQSWTkCZLT6DGk4wluEOUmfykoqjbm/hxNP/FZun3orxSpxw\nZyEk0N4E1vgCCPfha93skJWMtREzlvDkG34Oz9z3ExgFryeFiKqf5dWGluDNgShkZW8VvNjsW46q\nAyQsmgs4l1DBCxMisxS8ZVDmBhexUSUyLCN7ARSGrIjzETc4RvRwUHY/wamesmgm33sewZPfU0nU\nJPGKvtcJgtc5EqqXdRU8nuGTF8cbY4wupoGCl1U/oPlp++k8iCya5XbPqDcRu4tqlUdG2qcZEDz5\nnFLHphTmOEhdO32v+HO8nkPwFqjg/ek/B37/e6o/r0WLFlcfPFuQF2sQFJ3XhCSKIcEruGb6bkQG\nm57BW1iKZnCv8xpcaA8vpisSciAJXl5olwRh+SXmLFTwsq/7RjBe4SqjJX5Ni6Zv1FPwVPVRzuDt\n2AwDiwTnXs19pSLLqRRX8OKfy9Hn/zuoP8WLL/2+ksePCLScv5ss35pK+tb8aW66ONc72Dz99vB7\nKI9ZObDmKkNL8OaAq/XAQfZMwctSNmhBiqa0aC5CwVN73iKLZnbICiC6yro7T2MyuLn8a8QIXrGC\nJ38xPetQ7XnDJsEyahKSBIhRC6QgRVMSXHlxzJzBQ5CW6myLi1htBc/IVfCmtAsnqeApMxy0Tvde\nEQKrSNmQFc2fCPVYjbfO6OszFIJX1EkUOxVCYNkBwTv1KvHn1llhI8pU8BZE8DaeAq48Xf15LVq0\nuPogyZa5NH9NguoMKZqtY1702KYVvKaOB4jQDTVFE2huZpBzUZOQnJ/OgbRoci29YaiiKGTFnzGD\nJ+fnPTVkxTwE3RuVJuKhRVPrgXKvEoEnLK4+smAGb8fmWDV52FmXtcYsA7HOKSJ48TVQZ3gWTu8k\npiXXipFFcwprJObvJoPbMl1GZeujJJltCd71DELhWathF9miEe0iRRdTudDOsmg6XWFDcHrldquq\nQFgQxXlkhVxI+KYgeNboBXRG5zFavbv0a0iCw6gx8xdT7kBdDfZMQChIyaLzpIWV51o0gxk8Qyp4\nAZGWCl5iiN61joCAw7A3G1fwqDfGlPRCBS9U1zJrEhpSTuWMZ9mQFW+S+tkLb8gZFk3xnAIrZQLd\nILwHpwIFbyMgWimC1wGCG0km5knR9N1mo8hbtGixf/BtESBiDeYMWXErWDQ9QFvUDF7TFs1gaRpa\nNBtS8JyhsNGXtGh6ngdN06INwxozeJya4KC5m4pytCSZogmgdJKmquABcQtkmefmKXg/6/073PWp\nH4Q5uVxbwcta58QIXmLD0xpfgtMtR8DF+UYEujM8B9c8BLdzWJDxYNZe98TvWHmCJ9YTpEnleB/Q\npmjOiSff8LMz58MaA9XAQWP2OMoccNBMe8Bk+Q488cafx+7Rexs/FdWCWByyIi5Uhy5/EQAwWrkr\n9Zg8SMLgWkdmqnJyB+rqIXhxRSxr/jC0aHIee3+RRXMp9neaM28pf/4MeyNzkLgMskJWiO9A86cY\n60vhDB4ICdTJxdUkAPLnK38RQnw7tGRSP0sdTVtJVYtmlaqEjrMBbi6BHLldfOFKDsHTzNkLLACo\n8NohfKdZm1KLFi32D54TWDTnVfCSFs2C648fzOBpRnO1Bu5eWTQbOv5EkCl0y63ZPM8TCl6G5V+F\nIEk56eCERF1tGQgVvFjISlR27hVVRCmvD0QuGupPS4+qkERJu6/3QJkL257iHvZVmNvisx8Pbit1\nvCRYRt+vSpSTKpk5uVxpzSoddJovCJ7dvymWFcA1E5pbleC1Cl4LAJNDd8xMeGwSyfh9whzxw5xF\ngAjB7rH7cr3h80BNiSwqMJcK3vLaF8BBMD50Z/nXCJSoMgSaqxbNqwApi6Y/SZMQzQr6W+I3jWTI\nCgktmjkEL/j5s0YvgnBWP2QlcZOWMwBjuhymaMrXT9Yk+Fqn0Z8zTnVhNcnAYP3LuPfPvzVU5LSs\n+caMOgdjug4e2D+LEs2S6Nrr4Ms3iBk7o5+v4FGtOE0uDFmpo+A5rYLXosW1AhmOYg3mLzqPKXg5\n1jzOha08tGg2NYMnQ1YWlaLZcA/eNJhrS167cxDN4KUt/ypEyEq+XuJrnRIzeHGLJoDyc3hKyAqQ\nnUyZhyQ5leuHG5xnYMLB2plvgq/3ajmDADE+RDiLbT6on0XsXJkPY7oeus9KHT/IwBhsPIje9hOY\nDM6kOqMlwfP0agSPHPDE61bBO2BgVE+ErLi1vdHzgFNdsWjKkJWsGTyxE9XbeQaTpZsrJS3KdKSZ\n83eI5hO9q6AiAZBEPLqgad4kddFSVSZf+R7S5AxeGLIiKzGSNQkigEYOGNdR8LiWVvCkPWSiDyIF\nD4GdM2HRbDrYhpN8BW9p4yFQ5sIcX4LbOZpJnqOic0XBm6zD7p1GZ/RCqpenCB1nHez4rWI3rH8E\nuPJM8A9JgmeUVPDqWjQb3CVv0aLF/kFaNPVuQymawQI97/ojN4dqWDQdx8F4nH297Ay30AHAPBs7\nW1sVTjwffccGYRzDrS1oEwcDAMPtK/AaOL62fl4cz9dKHc913fgMXq5Fs0DBg3C35LlGdHsTvt6L\nhYQ5nWMAAGOynvmc1OvzOQhewl4qnTj38McBAOs3fwsu3fH+2psCoRrGnLBDMC9F05iug4BVInhy\nnXj07Edg907h4kv+Pg5d+gyAaNwlUvDKrT+jkJWDnXjdErwDBk7NWMAF8Z3M+bvFn0dGyEpGmqgM\nWQGA0Wp5eyYQ/TKWInjBxdW9SiyaLKG0Zit4UVKTSsrk9ze3JiHx/ZYWDlkoX0vBy5jBkzHNE20Z\ntq0SPCOm9mneuLn5u/A1tNwUze6OIFjyoq15k9jPGaAoeIkZvN2j96IzeiHl+y9C114HG7xZ/KV3\nRISsAEAn8bM2a+Ekb5C1CJ7T3BxKixYt9hdSeTN6c/bgueUsmvLr1KhM8M6dO4dHHnkEhpFO6n7Z\n+bM4A8Czx/jc5z5X8eSz8frtTXBC8cXPfQ7Lw6fwNQAef+QrWLtQvYMtiWNX/hb3AXjoieexc362\n44RzjiNHjoDZ6XogFYUWTYh7fZ5F07A3Y+odALhdQfDMyaWZ5yhfH4iC6aopeF7CoinWD/fRJ8FA\nMRncHCOfVRGNUtjK+WVbNM2JCDSrMoPH9A4YNWD3TuPJN/47uN1jsVoLH6hv0WwVvBZ7CU4NEB5P\n0axTPjkvWMmaBK53wvmuKvN3QLSTJBWqIkQhK1eLghdXxPJm8IB014r8/oY1CX5xTQKnBjxjWVHw\n6hadx+cBpT3EMZZhjxWLZkLtWwjBK1DwurvPBq8rLtrUm4Ald/yInFcNfkbdETR/gunSTcClz5ZP\n0fSmML1dTJZOiy/0lETalII3i+DJkJWaM3itRbNFi2sDYU1CMIOXmMMujbIhK5KY1OjBm0wmGAwG\nGAwGqX/rvSAs7xoYjh07VunU82DqGphm4dixY+haYpNxZdAFGjj+4akgMoNjN8Hqlz9esgdPc3bg\nK+F6IokyfzntGUvQ3Wwrru5spbIDmN6FZyzDqkjwIgUvg5hwHsz0JTYmWTJkRay77qOPY9s6PRe5\nAxSnUk41QjbBK6/ggWh4/M3/AXb/hqioPGHRrB2ycsA3VdsZvAMGpsVnu8gc8bXzILPoPKfE3Avm\n8MYr5RM0AVHUzkHh9E6VOJ+rLGRFM4TvPLjwan466ZHl2D5Ci6YRD1nJKzoHBAmWEcF1FDx5EVd3\nKPVAwbP1+Axecg6ULkTBMzJTNKk3gTV6EUC0K0f9aazkHIAYbNeiOVEZsDJdOhOecxnI5/n94IbT\nVwielUjPnRU/PpeC11o0W7S4ZuA7UYom9+tdE8LjlOjBkzNyWvUZvOl0Ck3LVqek1a5s4nEpcBbO\nSjNSrJxVRVUlR0IlDIO1L+FVf/kdMCZr4b8Tnp+iKV5vAM3NVmqzFDxAkBxJeGaBcBa8jgxZSd8r\nli9/Hq/6y2/HsWf/KPFcL6Y+yjGaY2QHO/1bSr1+EeR6JR6s4oSvqRI/qVhWIngAxisvjX1Pk53R\nmjsEBy1daXatKHgtwTtgEPa4+AxeUtHZs/OQvzz+VBRN55yHbyyDUQOT5VsrvYbXOYxH3/qruHL6\n62afz1UYsgIEdkvOg1SrJMHLLtMMLZqhgidrEoIZvMxS+8PQZNhNLQUvPUQuFTzfXI7N4GWlaDY/\ng6dlKnid4fMgCKKPg0oCzZtk2oM5NcIbnTEVN2O7d4OIrC5bdB7aj4P31wvUZKMH6Imfd22RM3iO\neD5j1Z/bokWLqwtyds4MFqV1bZq+E9kugZIKnlHJDWDbNnQ9m7zI6yNhXhhJPy+IErKB6twIAAAg\nAElEQVQiZ6nLdqLOQqjkVNwEVWfwOsPnQbgf1e5wnkqiTMI3ByG5TJ2TvZWZlOl0T5QmeJKwswIF\nTx7rzMO/hJNPfjj8fqVTNCMSNFmul5wZOzUazeBJUGbD13tgRI+5aczJZXjG8tyJ3DwjZMU3lkqr\n5J6xjK/c/S8xOvmGuc5jv9ESvAMGYV2Lp2juV8gKCUNWbLHjkfPL43SPYbRydy0r6eTQ7dEA+Yzz\nAa4iBU/ZQSLcA+EstXuUN7gdFprLfhep4OWkaALxpNF6KZrpWgHd2YGvdUF1E7bHwbksO090/C1E\nwcu2aHZ3no1eN1Tw0h2DQDzpVSpxTvdoYWR1EvL5frCTHCp4WSlsVJ9dNAzU78EDWhWvRYuDDs7F\n77FuRS6A2gTPK2nRVBW8ahbNQgVPJjyDi4LyBkAUBS+pxMwLzR2Ke1WJNYUKVcGTqZeaF3SeBu+7\naAbP0/vQsxQ85kN3trMVvF4VBW92yIoMFts8+Rbc8NhvoLv7TPCekhbNaP3gHZqf4KkzeBJizWiC\n6Z2Egne5snqXhXSKZrV+YK6ZWDv2JrhyNOOAop3BO2AQ809qeMd+zeBFc1jUnxZK38/d+y8Xfj6h\ngneVzOCpFxjqC+KbnFGMdrYSJaDcBaNGLH0KiG6mPMuiqQTR1ErRpGmyqbs78MxldHQCBsBjgKEF\nNmF/wRbNnKLz7s4zYNSCr3cEwWM+KHPTFk3IZFBxnjKNzO0cha93SqdjRd2Dwe+YVPCS9kwgWDgV\nWJ/m7cGTfxrZVugWLVocAISJlqaYwQPmU/DKhKz49WbwGGNwXbeA4EX3LsLcQhWrNDItms1sbAmC\nN8f9kTnQ7a3gWIIwyftUYU2CMQBlDojvxO7fursNAp6j4B2H5o1A3SHYjHt6kuBlzY5p3gicUFy+\n7TuwevFT0O3t6PxVi6ZyL2eHm1Dw5Gen/Kz4drT+Uc7VmlyC3ZufVCVnJgWhvP7um62Cd8CQ7sFz\n9zFFM6pJyApYkfCswwvvCuREBwcJ5/32G+oFJppRTBC8Aosmp0YqCVKU2pNMr78keJzQWheyLJ+8\n7mzDMw/B0gVBnfpSwYuXuGveGMxYhIKXJkvd3WcxWb4FvrEMzRuGRC3rPTMl7dOYrsMzlsE1C0zr\nlbZoRgpe8Jn3Zih4ZWbw6vbgAW3QSosWBx1yQauZYgYPqN+F59dJ0Sw/g+d5xUSQqIv2hubwFmnR\n1NwhvBoboGqvalLBk+SqSMGTfcDJObywAy/DeSSTJMuoeGUVPF/vp8YxCPNj5FRaNCfcgtufn2xl\nz+AJwpVMFzUnl+H0mlfwKLP3xem232gVvAMGRg1owewRIBb93r4QPB3wHaytreGG8Q4c6FhbW5v9\nxAXhRteHqy9hbf1Ko8ellOLIkdkpnkmoHvAwwrhkyIog7UZk4QwvxG5uqb1MGvX1fq00tiyfvO4I\nBc/SxPEcjwOmVG/FhZP4TqCgLYDg5Sh42yfehM7uc9DcYUjUsiyaapKpOV2H0xHkzK9g0ZTPH049\nsIsXYUwJjgCwSQebFy/GHrs0sdFnHi4lvi5xaLyLLgB3uouNnMdkgvk4GdiALl94AWxpb0ne0aNH\nc2dwWrRoURFecI3VrYjgzaXg6SVCVhI9eF65dMBZBC8Wd888NGHSVCsH5GZmoxbNOoXdVAMnFNR3\noDuBghdYHiX5LApZkaRSd4fwlFRwPSB4eQoeIEjPdMYsXLomIb2JqLkj0bcXklUveK4HRpX7J9Ew\nhYVn6Y0AmV8DCp1ICYLHNROMkJCMUncIzRs1YtGMenCjKi+5xrme0N61Dxh4suh8n1I0WaDi3Hnn\nnVg9b4Lqq3j1q1+95+chMdi+FTCcxs/hwQcfBGMMlFa70Kk7SDIUJK3gZdckiOAcPVQlVQUv73st\nFbw683cAUmQSEFHQdv80OpkKnqzIEETJb1rBI3rKRqnbV2A4W5gs3wpjug7d3Q0fk+wYBAI7s1Tw\n7I2QBDO9W7omQf6unb+0gdHuA+hNL+GtADbGPh564IHYY++4vI47mIsH7r8/k2S/cmMdXQDT4TYe\nSDy3+BwcnAz+/9GHH8SkM/8NsCwcx8Fb3vIWrK6mFyAtWrSoAbnQ1QxAOk7sugqetGjOKDpP9eCV\nI0yzCV7cotkIMmbwmjq27g7hdI/OfmAG5Ex3WsGTFs0CBc/IU/AEWcxL0QRKduExqeDF5/ZVUG8E\nX++Hal24SZsRELNODuMp/SW4YfYrzwTPsGjK3AZCaEhG63Tg5b+mEnIXvJ5nZIxVXOMoRfAIIT8E\n4HsB3APgdznn3xt8/Y0AfgbAfQB8AJ8A8MOc8ws5x/kEgDcCkFeN85zzl9Y+++sQyYALsk89eKIm\nwcPJkydhUQZ0D+HEifl/MWvjff8e8F2c6FdX24rQ6XTg+35lghcPWclT8NIedEAqdSZASEyFIr6T\nm1QqQ1Zq7U4iuxhcWjTNQMGTVQlqKbrmi13MxlM0qQbixnejZcDKZHAb+puPwhpfgOblV3Sovyu6\ns4Np/yYAgK91Ydgbpc5Dfh4rR0+g1z8GzRU3UH3pSKr3qbspbiDHjh2JzTRIdJ4Xl1uT+JU6o6iS\nvnZkdQB7qZm+qTJYW1sDa5M7W7RoDqFFU1Xwduodi3klLZrKDN6stF8FrltMrCizg1Tl6D43L1SL\nJgiJde7OC80bwddvqfScXZvhixemeBkMvLg1xuGJcAm9sL6NTxhjLLlDvArAoxs+HuLZ9TunxgZe\nAuDhFzbwzHb0mNeuX8KtAD560YKtJZ7LO3g50XHhwnl8Mue44XE2JjgD4BNnXbycWHjhyhCfeDb+\nnKO7u9B4B59+0cfLATx6aYivOmPcOHWx4xN8VHn8X/GfxKnBAD9c8jMqQtY6hzIbnnkIRNnIrdWB\nl/eaiY0B4jtgndaimYcXAfwbAN8IQN0qXwXwawD+AoK0/RKA3wTw7oJj/RDn/Nern2oLAKmLHd2n\nGTwfGij30O10AGcELO2dqpCJzmJ2ZzqdDhzHgWFUI9HxkBXZX1cuZEVaNMVzlDAb5uR+rxtT8ORF\nmPnQvZEoUA8UPFmVwLWIOMlB870IWZFF7pPBzfCNJWjuKJrBy0zRNMLkMs3dDecgmN6FNqpm0ZSE\n3df7cM0VOL2T6QcHixLCfPCMUAK5AMqajyg+B0/5/721ZxJCWoLXokWTiFk0mwhZKZGiGfbg6Y3O\n4FHfga/3QZ2txkiYmqIJBG6Oxiyao8ohZH/y5Ah/8OgI/8DScG5tE6/RxPX7qUtb+OXzO7iRbOMH\nLeCvnnfxB89kE/VbCfDdFvDpJ9fw31j0mB/V1/AWTcMv3O8DSD/3/eYqLl56Eb/8QvEGwD/WxniH\nAXzo/hH+gWXgsYu7qed8oznEBl/Gbz40wT/uAJ98bojfe3oH7zMdPMMZfnlNffwyXrFcby2RRDiD\nxxIzeNQCIX5oea3bgZeFdMhKcU7EtYpSBI9z/kcAQAh5LYAbla//mfo4QsgvAfjrJk+wRRxqwTiw\nfzUJtq9EI7sTwJivt+RqRafTwWRSPfUwUvDUkJW4ypQiVQGonLVDYAvxEzN4GWB6X6RL1lbw4jN4\nuisu9uoMXqTgRSErsjB8L2oS5MyDbwzgG30RsiItolkpmrImgfti9iGwyfh6t3SKZlhNIX/HCMEj\nb/+NTCItFyWE+8hqhJIEr2oiXFyxb7BQuCRagteiRYNQLZpyY2qeovNYD14OcQsVvGo1CbZtgxTM\ndBPfhm+twHC2mrs2cRYLLEkGy9U/Lo/60Cpg6HD0DYJBt4O3WtuACJ/E153m+NA9x9Ab28Bnge++\ndxXvOpntrjAcA/gU8AOvIHj3TdFj7nrCAHnRwofelU1qlr50Cm/j2/jQa4tdG7c91wGeBn7xPSfQ\n/UwX7zhMcfxl8efc8Rkbx5dX8G/vPAl8Cviel1v4upuO4YbPEiwv9fGhe6LHEwCHu81kMEZpmcmQ\nFQsELGbRZESPJYLXf82skJWW4M2LtwL46ozH/G+EkJ8F8DiAf805/0TWgwghPwDgBwDgzJkzTZ7j\ngUbyYkcLbHuLhCvXfL4dELxmdnuuNnQ6nZm7mFlQPeBhWXbyAkNoYHfMsmiKX02uKnhF85aEYDK4\nGXbvVOVzFecWT9aSJedqiqatzODJTQY5h1BXOcyDCFmJL1aoPwEHBacGPH0JlLnheWYqeMEMnuzL\nkx58pnUrFJ1LBS/63LMG4oEoRS3PqlRXwVOVzMbmXCqgJXgtWjQI1aJJKaB3ALfYgpcJ5osN1jIz\neGHISjWCN51O8wOWuA/KvSiav9EUzYhcNGXRpP4EBKxyiubUY+gZBEQ30bejILkeH+NYT0PHE9fH\npY6JY72cObwgdXmFjDBRHtPTPHDNyH0eXzqBpfUH848bYEkX9+ajfRNEt9AjTuo5JhtDt5ZwuC82\nmge6j2M9DQY8mIY+8zXqImsjm/hOQPC4QvDW4HaONhLskuxPpL4T9vFdT2iM4BFCXgngJwC8r+Bh\nPwbgEQAOgPcD+O+EkHs5508nH8g5/zUI+yde+9rXZm2IX5dgqoLHeWDb24cePFn87NmAO7qmFbw6\nBC9u0cyuSZBfy1LwpBUzruDlWzQB4Ik3/e+1yX6yB093ihS8gHRyXphiOQ840VM3depNwfQOQEi4\nCysLzLMUPBbM4OmOsD9Ji6av94Tyx/nMxNGwdL7E58pn7KLL2gfKXLEwK3kj228Fz/ebma1p0aIF\n4mQLCAheneqUBGkDCmbwgt/hij14RQRP3ivk5l5T16aURTOY968FztHbfgLjQ3eGG31VFbyJx9HR\nKTg1YUxfACCKy+XmpnS7+EUhHlSHr3WhOXErLlU2c7PgdE/AmK6L719RxyDzwUHEprHWyUnRHMM3\neungmoyQlUZBaLBuVUNWphHBC9RrNQhtXiTfI/Wn12WKZiMaLCHkDgB/BuBHOOefynsc5/zznPNd\nzrnNOf/PAP4GwHubOIfrBaqCF6Y37bFF0/d9sWsIiJuMOwHMZi16VwssywLn1fcX1JjeSMHL6GpT\nFDoJ1Yopbm6RglcUqMOMpdo/C0mfvCYJnrGc2YMHiJ+/xSp48Zs69SchkZNWVCMgeEzPClkRn51M\nLpMWTaZ3QcAzy2CToMwRi40SN8BZCh6Ur6thNrNA9nEGj1Jaa4OjRYsWOZAVBXqw4DR69RS80OpZ\nMWSFatFM3gxMp9OZJefyWtwcwfMbs2j2th7D3Z/6p1i68lBE8CoWnU9cjq4ehL0ERRD20o3hyIC6\nGVoE3xiE5yARBqrlwOkeBwEL73N5UD8zNT06BPNAmZ2dosn8wg6/JqBuVIvXFoXvvtYJf46M6ZXG\nCJ7aWwjOxKb5dajgzU3wCCE3A/grAD/DOf/tik/nEHbfFiURXuw4D39h9jpkZTKZoH8osKl5U3Fz\najgm/2pB3f4vrlxgihW89G6bSvDUizVh7sLmLVlKwVMsmmoPHtTyWTeagWs8ZEVLFZ1r/jQkcvIm\nbU6EZYZlKXiauKnIG7Af3ICl2igTQItA/GLVNHnOQL5VSSV+krT3Nh+NEb8sqLvXe23RbAleixYN\nIyRmkuB1xSZp5eNUUPBijy2fomnbdu49UG6QsWBzj/KmahKUFE3EZ76rQt4fOrtnoddU8KYeR9cg\nsc1Tu38DqFTwwntlMcHzzKUw9EtCDVTLQtmyc8K98DPLWlPENmIJDe6vUQ9eUYdfE+CaFZFO7gcu\nJUucK/cA5gkFL2f8oTKoBg4KypxonXwdEryyNQl68FgNgEYI6UCkZp4A8DEAv8Q5/9CMY6wAeANE\nCIsH4LsgZvZ+pPbZ7yMopdA0bc/LvQcTB6fAsX75Igxf/NLujO09PQ/GGAYrQZeMjHe+Ri2adQle\n3KKZM4MHMYCc1YMXpmjKoBDIUvvF9JFJf3oyZMU3l2HR+AyeSgbljaNpiyajRlrB86ahCipv0sZ0\nDZxomcqmrJjQEwqeVAGpNwFmXPMpKz/jKndGZ83gAWL3Wx+dx92f/md4+rU/ha1Tb8k97n5aNAkh\nLcFr0aJJqCErgLh31glZUY8TzuA1G7IynU7R6aTdEUCU/ty8gtecRVPex6zxhVAdqmPRXO3S8J7s\nGUtwzZVQwVPdLkXw9aVUDx7184PTAMAJztm0NzAqODZhkc2SaVa4qSkhz5UFG/EqaRY9eIsleGKs\nIyg0VwiX3BTV3R3o7hCu1VzNlRRDovVXW5OQh/8FwE8qf//7AH4KQoG7DcAHCCEfkP/IOV8CAELI\njwN4C+f8PQAMiKqFuyA68x4D8G2c8yfmfA/7gn6/j7e//e17/rr0s18FXgDe8bY3A9Nt4EvAS1/+\nStx57zv39Dz0x/9E/M9ERNxeqyErVesRJNQhXxEJbGbOXPEMO0XMoqmZ0IIdwkWW2idL1XVnB4wa\nYFoHOgBKxE6m+t4Ic6F5gW2ygcHo+PloqQWD8O3HCZ45WRflrhmzdML+6qZuwKGCV2JRJawdJX8G\nlJqEzH9OKHj69ErwHoqLbEmr4LVoce0gZdHs1gxZkapcGYtmcgZv9lwtY6ywA3ZxM3hJi2Z6Hrss\nJKGyxi9iMrgFAOBVXKtMPIauroND3Hs9cwVM74mKIM6huztg1ALPGBNQ4RsDWOMXY19TA9WyIDeF\nZ40TxC2a6bn+ZJ2R2PyUFs1I/VsU1HNSN7zlOVsjUZ0t+3ybeU2RVyGJZdaIzLWOsjUJHwDwgZx/\n/qmC5/2vyv+vAXhdhXO76lF38T8Xglk3g3AIngzoVh/Y63ORN6dznxN/9o/u7evvEZpR8Ka5F5eZ\nFk1qgvjyQrzAUvtEqbosOQchIAA6GoGTUPAIc4LY6ebtuVk1CdSbhLvFMgnNcDbhdLJ/9uRnZdiC\nSElS6AcEr0xVQlG5fOr1Zlk0mTqDZ0P3hGVItzeLz0GxPjVmgyqJVsFr0aJh+AoxAxqwaJYgeOFj\nZQ/e7N/pmSXncgZPpmg2WJPQVIqmDNgyxxegefUtmh2dgnHx/XKtVfh6L4z4F/fK2T28nrmE3nbC\nosmLe4yjPrfi9x8neJ3UvS2yaC4Fx9UVi+aCQ1YQjEtIxTBG8MTPrSS+TVQkSHBqxFPMr8OQlcXq\nsi2aRxhu4kS2Dn0ffnDleXz6F4GVM8Bd37T357AHmHcGL1TwcvzfTDOh29uxr6kWzVhNwoJL7dXA\nF93Zid20TJ3gq2sOPvyVXbxq5ONWAB95bAvfvLmOKVvGh79Ss6g3B+/e9HGKe/jwQzuhOvejozHW\njEP48Fd2YTCOVwWP3fSszNd/2zbHDQDOXbiIFdLHh78qdjFvnnLcCeCTT27gsV7+eXd0gn9eawYv\nL2SFhSm4IvxF3HQNe6vwuHEFb2/JFqW0TdFs0aJJhDUJwXVF7wLT4iLr7OMEzg+pygElQlbKWzRn\nlpyHFk1BGkgTm0+cgYAnLJomNLfG5wOEz7PGF8PrbdWQlakbzOB5gUXTWg3fs+aNgnvloZnHyQpZ\noX7xXH0YfjYrlEsheL6xFL5XiZDgxSyaexeywmk0gxcpahZ4kMZujQKC11DICgBwErdo7nUY4dWA\nluAdNEgy59kRwduP4VE9+GVxdoH3/vz+kMw9AKUUhmHA9/3cNLEshPNYQdF5LsGjViw+WDwnruBR\npSZhkRcpoRaKc9GdndhMwUsOG7j/go1z2x7G1Mf3GMBnntvBu/UNPIMB/vjxogmB6rhJY/gGHfjT\nJ3bhQ3zu/5M5xjNTHX+8OQLA8TOmDpN4uOyYma8/oBzvMwB7dw1rpB8+5iUE+BETeOj8Fv6cZZ83\nA8A48E9OTtEp+ZnzGXMwhPtgWjck/fJmP0vBo7EZvHphA3XRWjRbtGgYmRbNOgpehRTNVA/ebDI2\nS8EjoUVTKngNbARxkVLZlEVTKni6uwtrfEGME1RQq1yfw+Nis4+xuIIHANQdpzZD8+AZA2j+VHyP\nwvWBC15gGY02iouv+0QJpvGNJWj+JFatQFMWTUO4QTgDAVt4yIoIi0tYNKkVrnMWoeAxTbzHohTz\nax0twTtoiCl4wS/9vih4wWseuxt45Xfu/evvITqdTmWCB0LBgi43oeDlWTTTfvmURVMtOl+ggqfO\nA+rONibLt4b/9q/eHIW7LF8+Dnwe+LmvW8atXx5heOR2/N6rTzZ6LieeWgUeBX73fzgaBsCc+gsX\nbz61it97pXgt8hcDwNnELceW8Xtfk379I2ePAA8Crz00BKOr+L23iseYYwAfBf7F6yx8303Z5/3s\nlot/8f9tgPguuF7OFlum6NzXu9DdnVgBu+HMsGjuo4JHCGkVvBYtmkSyB8/o1SR4wbVAM0VhOki5\nGTzNEESKseB52Zip4IUWTTmDN7+CRwKCl07RrBuyEjk0ettPhRb/spBz5109oeAFREkoeNsYH7pj\n5rGk6qe7u/CCtEiRolkwg6fG/RdADVmR3w/NG8IPlMVknZG0L8p71cJrEjQzDH6JFDUrVCit0Yvg\noPCslcZeM7Rosus3ZKXZZIQWi0emRXMfdiaWTwtrydf/dKUdsYMIy7JqqRhc2vEKLZp5RecJiybn\nMeK3CDBlBk9z820n0XyhA8PebC7aWIHcUYx1wPlT+ApRljfrrJJzINr9NKYb8IKSc/Xx1MsPNugE\n3X/1ahIKFDy52+3b4UzIzBk85eZeu/C3JloFr0WLhhFaNKWC1wG8eRS84J5QZL1M9uABM+tZShM8\nQ9YkzH+diAhHMkWznnNBc3dgd8UmXnf32RoJmoJwdnUSEgTXXFFIVDWLpjiniHTOTGmmGjih6V67\nBNQZPDmfrtpBZYqmPG9p0ZT318WnaFpK6XiUoik3vq3xi4LcNUg0WSpF89p0mRWhJXgHDTGLZsLq\nsZdYuQn4n18A7vyGvX/tPYZU8KoiiuktCllJ1CRwFgw9qyErDgj3QMAXPoNHmANwBt3ZzbWdyBuS\n7myL6oZFEDwqEymDRQNnQQ9eRObkzTqr5ByIdj91dye8uYrHz07R7AYEj1awxUa23ByCx/wo4IUp\nCp69BXCee1w1tGWvLZqtgteiRcNIOm9qK3gVCF6VzrwA0+k0N0ETyFLwGtgIylCU5ik6151djFfu\nFOfH/eol54GC19FpeE8WM3jiPevuEJq7O7MiAYiIl64QL8K8mZu26sZrHkhiBg9AbA5Pc0fghIZu\nGE51Yf3fIwWPxyyaUS+wXBeJjeLm7JlAtMFOrmOC11o0DxpUBc/fR4IHiESu6wB1CV4Y0+vb+WpY\nQsGTN7KYgsc9UE9eFBdo0Qzm/TRnFwRspoIny1ddc4EKXkBusnz08oaZVXIuvh59VipZ5dQAJ1pY\n0p6Fri4WNpRVsMXODFnxo9kN3w5v9JQ5oN4YLMc+tJ89eK2C16KFIDtPPvlkI78Lp148ixOgeODB\nh8TfN7ZxwhnjgS9/ObPuJQ+DS4/iDgCPP/0cxpt9vBIEGxcv4Pz996cee+L8OZwGcP9DD+P4hUu4\nAcCD93857EXLwmg0KgwZS/fgNWnRTKZo1vvcNXcXdvcEPGMZursT3jPKIrRoGiS8D7jWaujEMCeX\nQMDhl5jBCxU8J1LwZhWdA+K+PHNjj6sWzYBIeqqCNwpKzolyTDfcjFx4iqaSNSDJKtPMGOlqsiIB\niD63UDFsUzRbXPWQi9aYgnf9DY/uJTqdTk2LplDfikJWuGYJa0swJC0DNVQFD4g89GUj++tAkE0H\n5nQdAPLrB7Q4wVuMghe3aMrYZxazaMZrD9LHMJTHRgoeCIGvd6H5+RZNUxP2BsrL22Jn1iQEISsA\nYimaAGA4W7BzCB7d5x483/fBOQepsPhs0eJawmQywdmzZ7G0VI0gZOHoZARGdezsiJmkFZeDgGF3\n+0olC74xEkRhOLEx3NkBA4VrT8Ljqlidimvdzu4IA1tcQ4Y7W/CM/PsaIQSDwSD331M9eDMsn+Hz\n3CEGV76C7RNvSr9mGLKiWjT1mTUBWSC+A82fwjeXYfdPQd/aqW7RdJUZPFXBC96zGfS3lbFoeqFF\nMyJetMTYhdwoLkK2ghe3aMrNRQBgVIfmjRVL7F6ErCRrEjqx+3nTCh6jBnR3GlMMrze0BO+gQap1\nvru/NQnXEUzTBC+w0OVB9YDnWjRlSpbvgOndcKcuLDoP/pRkYNZu3zxg1ITmDmFM1wAAbg7Bk+cs\nC7rdBgejJVIKXvCzrpI5uVOZq+ApZNgz4gsVpnULFTxCCDo6gc6KY6xj5yxJaWHIijKD5w7BiA7K\nPej2Juz+DdnPU1TdJuZc6qAleC2uZ3ieB03TGiF4ZkAW5LH0nlB/lrtGJQLS3RHXm05/GVhaAqgO\nU6eZ52jpFJxoWBoMYHbENWipZ8Gz6r+fcKEeXJPLbj4dPv9R3PyVX8SD3/CH6c3BTIumWWtjS866\necYAdu80+luPVw5ZiSyaBJPBLbB7p+B0jir9bZLglVDwzChkRaJMt63cKC4CYUxJ0QzmA5UNROqN\nYu+dUwM0GP0A9iJkxVLC4gLCRa3YTL1rNVeRAKgjMtevRbOdwTtoCC2arYK3V9B1vdbitlzIivje\nyYueVKxYUsELduMWWZMgA10iBe9Y9uNCgrcXCp644Ue7cGkFL28Gj+dYNAERF11E8ABxU9d49aLz\nwpqEsGTdgeYNQ1Iny9gznyd/JrRuWHq/12CM7cvrtmhxNaDJOVSh2kTXlOQ9oCxk75wkG5xqucEp\nhHvK44o3osqCMlvcn8LE6HKbT3pAPHRnO/VvWRbNsCah4iarHnTg+eYy7N4p8f81Q1Y6OsHOiTfi\n4Xd+WMyxUQ2+1qlG8HSprKkEz5u5aVt1Bi8zZMUdhaojEJGfvQpZ4dQMZ/6ikBUzdo9u2qIZbrDL\nTfOW4LW46pEVsnIdxr/uJXRdr6XgyRvTrJAVIJoxS1k0NWnRFBfrhYasBDuFxnQdHCS3dJSnZvAW\np+DRYBGjeVkWzeIUTfWz8pMKnt4Jj5mHjkFg8PLl8jMtmswX5a6goEwoeHb/RiR1A3kAACAASURB\nVACAXlB2Lo/HtE4zZcI10AattLie4ThOYwp2UrWJXBx23lNyjhNfnHOi5bsHmBd7nHjhOQmesnHJ\nqZ573Us/TxBZdRYtPM8MBY9RAwR8ZupnErIDTyh49QheNIOXXir7ej90sZQJWeGaCUatKGSFM1Be\nImRFK6HgKQSP6T1wkJRFk8UsmoYIbtszi6Zc5zjxeXpCQxVvUSEr1J+Cgy78PV6NaAneQcPVUpNw\nHcEw6tkiRUm5LYI6chW8oOdGKTMHIvVJ7vQeOffnwd8XZ9EUCp4NY7ouIotzdvXkORvOtrixLWD3\nL0rRTCh4mSmas2fwUgqe1g3n+vLQ1Ql07oYzhzPPuUTICid6OI+guSNMl6SCl1+VIAfxmVY/bGBe\ntApei2seng3c/18ylSLHcQoDR6pAqDbRseSmFalN8ILrE9HyE3wVAjDzOlUS1HfiBK/ktUku8KXC\nFkNOiiaAynN4qkXT6QuC51VM0ZwqM3hJML0XnlOZGTzxuKXwvJJunTxIolL8oChkBYTCN/qJkJX4\nDJ6waLoRKV90yIpc5zBB8Dih4bpB/gzlbSjXBdeikBWmWZUCjK4VtATvoCEVskKimOQWC0HdGzun\nRqS8lbVoBhY8Fuw2TZduhK91sHLxM/C1bu6cVhMQhNSFOV3PDVgB4sRpER14QFaKZjCDp6Zo6sUE\nT52dSyt4vdkKnkZgooKClyClSYhFFgWnJjRnB5R78MwVkfDm5Ct4lAl7Vakb/YLQErwW1zye/jjw\n//4z4OJDqX+ybbuwMqAKksEaSRdH6ePI+SkaEbd8Bc+PPQ5oyKIpCR4pH4Qir+Wy+Dp2npkWTdm7\nWu3aJ4/vm8sYL9+Oae80JodeUukYE4+DEiBDwIMfJJByosXUsSL4xiBU1pLz9nlgJVI0VQIPCDto\nyqKpqJecGiDcFbN72IMZPKooeMyOJVqGBK/htQSTJLZgROZax/WnWR50hCErgYKnd67LnYm9hJzB\nqxo0wakB3ZEEb0bIihxA5vFd2cmhl+CB936k9rlXgezBM6brcLonch+nWh28BQSsAOpNPR6yos7b\nRRbNnBk8NWTFjBM8X5+t4C3rcoe1gZoEzoTNiGpgmhXO3PnGElxrdaaCJ6od9D1P0ZRoCV6Lax5y\nw8cZpf7JcRxoWjOLYJJL8CrO4PmSIARujyKCp8zgSbVmXoJH/GihLiyaJVM0pUXTzbJoplM0WeJe\nUBaqgseMPr76zv9S6fmAsGh2dZJ535czdZ65XHoN5hkDpR4nocDmgGsmNDs9r6iCMD9WEu4bCYLn\njRIpmsEM3h6FrEhHEvXtVOicDElbZMjKIuulrma0BO+gQbVoTrcAKz/GuEUzIIRgdXUV6+vrlZ53\ng8vQD3YRt8cO1tbWUo/xdsWiYvfKJWz4J+DtiMds7o5xhaYfv0gcmno44dvQx2tY79weni9jDCdO\nKISPkHDwe2EKHo3Ps2lhTUKk1k2Wb8O0fyOmg1syj1Gk4Pl6P5zRyMNAK3cDDs+5gOCpsyWC4G0E\n57UEz1qBXkjwxPzMPH1Q84AQ0hK8Ftc+/OB3K6N03LbtRgkea0DBC2dzy4SsxGbwaPC1+S2a0ShB\n+TJyuVmXef0ttGjO6IJLQHd2wQktra5lYRIQvCxIwlTWnime0w9DzJKdt3lgJT7blIKnEDwZNJJp\n0dyjkJVQwWN2inAxzYKv98EbHjWKQlbyU8yvdbQE76BBDVnZfB5YvXl/z+c6wetf//rqTxr+PrD5\nRQDAPa95Pe55xbvTj3nxBPAI8LpXvQK4693AUwbwCPD6N30tcOaNc551RXzyK8D5P4Lp7eLMy9+A\nM297NyaTCf76r/869VBGDVDmwFtAwAqgWDRDBS8geIod0+0ex1ff8Vv5xwhunL7WTZE0r3MYuruT\n2k1XsSQVvCZqEphC8KgJYxooeHofrrWK3vZTucclXCwI6/ZBNYGFEzzPAf72PwGv+0eA1t6WWuwD\n5OaJl1bSXNdtbAYvbdGUNv2aM3jBiEaxgqfO4DWUoqmGrBCtkRm8Ri2a7o6YEZ/D4TRxGTp5BC+w\naJYJWJFQ6wLKWjR5xRRNQAbAiIRP6o3Dr0XH1IVFM4NQx16bc2xsbNQKmYsdZyh+p7Y3LmN1vAOX\na+EG8q1MA/TlzA3weXBo4ooxiPEOHEYrH9+2bZw6darRc9prtHfSgwZVwdt8DripBvFosTdQfd9G\nzi6iJCzSHiTTsvZjrlLdQVsWF7a8XWthCxotUMFLFp2nZ/BmHoPo4CApeyYQJXbp9ibc7vHM5y9p\nMtF0/poE9UbKNTOMCPeMJXjWagkFzxA3+oo2rqawcIL3/KeBP/8x4PSrgTNvWOxrtWiRBUkgchQ8\ny2pmjocwN+ZEYFq9FE3KHHDQyJpHtHCmKvWaGSErVVMp069vwzOEesUruAukNX7hFk1np1R9QRGm\nHs9M0AQiwlTlNbhm5SZm50EtCc8/sBKyAnFf6e4IBU/24ak9eIyaIJxFJDMnYdL3fRiGgZe97GXF\nrz8D5vkp8Dhw521n0N/tQqMruPfee8W/ue8E3FH496bQZ58HzgMrHQJYq7WO30Tv5X6iJXgHDVQT\nF3RnBGy/ALzyO/f7jFrkQVeIgZEdBAIjICxusHAPCd4+DAWrBG8gCF5esAALCOgiOvCAdMiK5k+E\nFamKlYQQcGrCz9hhlYldxnQjl+ANaJCQ1kBNQtKiSSB2RH2jD9dcge6NQBTLkwqx46+LXVd37y2a\nnPPFE7zw57/aIrdFi8YgOyYTCh7nHL7vN2vRVK5J8yh4qrWudE1ChRk86o1x9Pk/weXbviM24yXO\n1wHriOsVCxShMggVvNIWzaAyh7lYvvwFMGpieHT2Yl13d1PW/KqYeDxfwQsJXnmLJlMIXlmLJq8T\nsmL0w75BLVDwWMyiGXymwc86z0nR9H0flmXh5MmTha8/E+5pAMCRQQ+gPtBdjo75Lf8WAFCtgr4E\nVsQ93mQTYOn4/O/hAKJN0TyI0C1g81lxMVy9Zb/PpkUeyih48uuuuAjDCy7k+j4TvGVxQaaUZg6Y\nS1Vr8QpeUJPgTXMLzYvANKNQwSsqGO9r4rUdXo5UlpnBA9ViCWJ+oOAByE3SJEGKZpVFVNNYOMGT\ni9t9qoFo0SL82UsoeL7vz21RU5GfolkxZCUxy1c2ZCW8TpWYwTt08bO46ZEPob/5aPqYfjxFs+xM\nnyQ4WqZFMzhGjODJiH0XN371V3Dm4f9Y6nV0Zyfz2l8FRTN4TFo0Kyh4cYJXbsablUhPzgxZ8UYA\n98WfSFo0xWtqwc9cnkWTMVa7JioGee/2JmIzz9iDmTi5hppsRU6p6wwtwTuI0Exg7Qnx/y3Bu3pR\nRsELL3wJBWM/Up9yCB6A1AJH3iAWpuDRdE0Cyyk0Lz6OmbmLGxK8aT7B6wUK3hQlQ1YSpFRFXMGL\njufrSyFJNnLKzkVvlrRoXqsEL3hffkvwQjgj4JM/H302nAOf/SAw3NvwpesGOTN4ntfsz2RKeasb\nssLiJdnFIStqT1p5Bc9whHXcGl9I/RtldnjuogevrIInCHSWghdZNNWic3lddWCNL6C7+yz0guu2\nhObuZro3qmBaQsHzqxA8aoEyG+A8nKub1bMq+9yKkBWyAgCaOw4VPN+Ip2gC0aZCXsiKtGjODbn+\n8WxB8vaCcMk11HR7bwjlVYiW4B1EaCZw5Wnx/y3Bu3pRSsELLnTSoubtJ8ELztfoA1Z009I0LbXA\nl9UB7sJCVuQus0rwql+kN09+LbaPp+dUXWsVHCRMs8xCn4rXnvKSNziZTpdh0VRDVuSiiFETXDMj\nBS9HTSRcsWhmHXvBIIQ0vshNwWsVvBSe+HPgY/8GOP8l8fftc8Bf/Djw2J/s73ldq5BE2o0TPN/3\nK9XjzAJhTqx6hRMdnFCx8K8Aad2OjlM2ZCXfSp6EHsTzZxI8P3ofIgCqashKkUUzHbJijS+GpGiw\nfv/sc3d34c1p0Zy6DF3j/2fvzcMkOe7rwBeRRx1d1ddcmAuD+yBAgIQAXoIoESQlmfbqMGWJXEs2\nvRZt7beSTYuWJVk0LdmybK139/tWstdcHSt65aVkUSLXK1oXJR6iLIoUCZDEDRCDAQYzjZnu6buu\nPCL2j8iIjMyMzMqsrp7pbuT7PnyYrq7KzKquyoqX7/3em6ZFM5p940Fs0STje/Ao8wGef5Etl+AF\n2/EMnkHBk+FlRQqe605hLSLXFv5A/Jd3wXuakGsov5e//jrgqAnefoTdEAsh6qhZqRp7ELrNMu+E\nZjlirkxaNOUi41pYNOUxzh5PJI9ZlnXtFLxo0WAFA4QTWDTP3/M+XLn+HdlfUBuBO5fpn7O8LVz3\nzK8DPEQrUvD6rDzB46DjaxIii6b8EpYk2cmxaNIw6sGrEEU+TVBKd5/gKYvmtVEo9yTWzon/j7aS\n/x8XuFBjMsj3XpC0aAZBMGWLZlLBAyFgVnMCBS+VAEysXJtkcgYvm6LZWn8Gi+f/KPM4GQblGgme\nbtF0Sl98siKF1Ap6mQs65hRNsVBvbp9Xt82ufLl4JyyAFfR3HLIiLJp5ISuTpGiK7zASjuKQlTEK\nHtMsqrlIh6zYUsHbBi2waCoFLydkZXoWTXkhewCMtq8OwdMdVFOuYNgvqAnefoS8MjF/vSotrbEH\nYZWwaALi5LcnLJoRqUxdNHAcJ6vgWQ5Cq5moLZgm0iErk1o0i+A3F+EMkwre3OUv4OTTv4bW5lk0\nifhCHZScwQOETWp8D5742waS4MnAl4G5Z1EqeGX6kHYDV4XgydnTWsGLsfaC+L8ieFFxcU3wdgeq\nBy+r4E0TpmoWRhvVCR4PdjSDp6f9HnnhEzj9+P+ReZycC270UgQvshiyhEWzxGeXsyh9U5AiWyvj\nFseZb9Fsbr8IAOjP3oTZ5YeFZTkHUh3cSchKwDh8hlyLZn/uVmwtvhq9+dtLb1NPTCUlUzTjHsD8\nc7+Y0zZZNLfhDpbBiYVQm0eMZ/AiBa8gZGUqCp60SP7pvwW2XwZOfsPOtzkOVokL7AccNcHbj5AL\n8dqeubdhl7BoAuLkJwf790LISjR/p2627QzB49TdNfUO0OcuZA/eZCErRfAbixmLpuwMsv0ttIjY\nd2kFD9HCpGAGT4SsiC9M+SXMrQZ8dw7u0DxbJb68HXBS3gY1TRBCpr7IzUCSlnoGL4ZU8LxoEezV\nCt6uQs3gZUNWpol0OAqQDN8oC6Hsl7No6gqPKQyK8EDNxumQCl7aoilnwnSLZpmLTyR673qtIwAM\nQSsFFs3m9ovgIFg5/Q64w8to9F7K3Y8VfVZ2ErIyDASBzAtZCZqLeOYb/3cE0QW6MtDnLUsXnUek\nkBR87gnPhqwAgkC3ts5i2DmdDPZRFs3oYsauWzQjgtW7DLzlA8D9/8POtzl2nzXBqwnefoRUd2qC\nt7ch/06EFityTismeH5fnGyr1AFMCzkKnongrR97I66cevuuHUq6jJeGg4lm8IrgNw7BGaYsmrKj\nydtWCl5Vgles4FH1JR/acceO1zoGd3DJuE0RsmIfcItmreBloAiesFjFCl5tY90VMPMM3rTf++kU\nTUASvIopmjy5nbEhK5kZPI3gsSCa80o+XgY/OcOVBMGwIuWNRd1qYj54PBGWqY1eUxC8dNCKOUVT\nzuBdhN88gs1joiezu/Jw7n5kifpOQlYGEcFr5szgTQJVicE0i+aYGh75+6Ky8/yQlW20Np/HoHtj\napvlQlaA/C7cSrBs4M7/DnjH/wJ884/tqHy+/D5ri2ZN8PYjaoK3P6BCS9rFJzS7FV81Hm0Czbmr\ncwLMHIdZwTOFrKzc8B1Yuv09u3Yo8Qye+BK0giHCKVs0g+aCCDbRrD5y6NzytxTB22ZVLJo5Cx2m\nWzTlDF48E+G1jsIdXDZuU1q61FXyKc4DlcHVDVmpyQsAQeI2IoVCEjup5AV1V+CuIDQreL7v5/aB\nVgZnYjE+BQVPKvtq0yUtmnKsQ7dUqgtpqQRR29tAaM+AgMMdvKxul/UyMo2YkXIXnySh8JWClyZ4\nJoumo343mjmOUfsERq1jwqYZobX5HI4+99H4uP3dV/AmgVQ8aTgCCSXBK/5+UQreBATPHS6jMbiE\nwexNifurHrwxNQnAlAgeAHzffwJe997pbKsMagWvJnj7ErVFc39AEvFxCU5OM75qPNwEmjsbDJ8Y\n82eA298B3PzWxM22bU81ZKAUUleZabgbFs1DoDxI2ISsaHFn+1toIFLwwirl6uagg2TIStKiCUQE\nr3/JSN5kKAOjjihIL0hT2w1QSq+CRbNO0Uxg46VYTZEqh1Tyaovm7iBHwRsOh1MsORfvb5NFk0wQ\nssISYS0lQ1aMFk3xb0u3abIQtr+pZswafY3gRbPLcn6YU6vUDB7NKHjlLZoAMGqLALDB7M1o9C+o\n2xcufAqnn/gP6kKaVBh1l0RVDHxxnm3mhKxMAqZbNHnZonOptuUQaM5BOEvM0YV2GxwEnSuPAkBG\nwVNEMygOWQGmSPCuNspmIBxg1ARvP0IpeGeu7XHUKIYieGNOLk47TtEcbSYqCq4qnCbw7t8ADt+S\nvNkQsrLrIASMxIP7wqI55ZAVQxderOBtw40I3nZY1aKZXegUhawAwqJphQNVSpt8bJyiCYxJU9sF\nUErh+7u8z6CewUtA2jOBWMFTKZoV/hbnvwj8ebli6Fc8cmbwfN+fIsGLus8yBK96imba6pl37gGk\nwpNP8GBQ8KTNsTd/J4DkHJ5MH5bnUE7LpWjK5yhn8OzUDJ45RTNF8IAocCo+fjmbrCz2shpAc0lU\nxWA3FDxF8LzSFs04RTPnwo5B9QShYHYbM2uPA0CugjcuZAXYxwRPV/DqovMa+wa1grc/oFs0C+/X\njFM0hxvCormHcE0UPEi7YwCwEJT501fwmhHB04JWVAmvvwUr+kLdqqDgjZvBA4178NIKHgDjHJ68\n+q5sNVe5C++qhqzUCp7AepSgablayMoEKZpf/o/An/zL6R7bQUVOD95oNJqaRZPmJCcyy9150fkY\ni6a0ZqrFvEHB0+cAZYLmYPZGMOrC7V1Uv1MKniR4JQOgJIH0m4fAQVQYSnwc+RZNAPAigpeeR1ZW\n/ki5U+Xe9uQET1k0pzqDJwneUFk0xyp4KnnT/LnXLx7qCJwZWOEQoT0Dr3Usuc1UyMrBVPB0i2Y9\ng1djv8BygNbCniMCNVIoreC1khbNa6Xg5cC27d1f4BvAibD9SNIV7kLICpBU8OTCwPK3QZmHgFP0\nw/KnybwZPGMPnm0ieNk5PMJ8MGLHsygFsxhlcN0zv47u8pdK3//qhqzUM3gAhIJHHWDxZk3BmyBk\nZeuisL/62YTEGinkKHie503dopmeu2JWs3LROUkXndMii+a4kBVBrBIELyo5DxrzGLWPpxS8Kwic\nriIfZWsS5PaZ3UbodDIKnsmiqQeujBTBSxLKOG25H/2/B0bssRUERVAhK1OdwRPnfhJ6MUEtmH8T\nj0kqeMef/jDaa0+q3+sXD3XIC4iD7g2ZmX6WCVk5iAqebtGsi85r7Bfc9deBN/7wtT6KGuNQVsFz\nWkmL5rWawcvBNVXwWKCS13ajBw+IAwOApEWTMB8+cdQXfRlIUpoBy1o0w5RFE8gjeEHKojk52eqs\nfBUnn/41LL70J6Ufc1UUvKCewUtg7ZzoOW3OajN4Eyh4m9GifLA+1cM7kChQ8KZt0WQpW95EKZqp\nugVOClI0uWEGj4WJ3wPxDDIQK3i+ayJ4a0q9A+SFrTIhK+JzHlpNBE5XhaHEx5G1aIIQ9TxHM5qC\np+1P/ltdoAv6wp65g7Cyob+LFs0oRZNRZ+wxJlI0WYgTz/zfOHT+D9Xv8xQ8eQExbc8U25QET/69\n86nAviV4uoJXp2jW2De467uAN//ja30UNcZBnmDGKXh60fkeVfCuCcEjwqIpSde0LZrMbiO0mgmC\nZ2kWTRp68OBg4FcjeKZF1riQlaAxD0YdEbSS2CAHjRZnqjpiUpWLc5x86pcBpMIUxuDqKHgRwZvm\nDN76eeB337c/awXWzgkLvtsxzOBVUHq2IlvdcBcJ3tJXgT/6Z1c93XXqKJjBm55FUyp4SWWJT9KD\nl7JoosiiybQUzYKQFb0Lz4k68AJ3Dt7McRGyEv2NneEVdYEMkOdqNjYASil4VgOh2zVYNM1khVNX\nkEJ3Ifo5qRjKf8vZO8vvgdk7U22GgXgurSmGrHDdosn8sfN3AMCsuOhcElg98Ea/eKgjVvCSASuA\nVnQeDMGIXUgy9y3Bs+uQlZrg1aixW7DLWjSjonPG9qSCN7WI8IoQX+KhtiiY/lU4v7Go5kmAtILn\nwSeOmsUoA07H9eBZ6C/ciSsn34bewp3aHSi85pHMDJ68ss6pE89iTEjw5i59Hp21J8Q2KqgFlFIw\nxnaX5EsSNk0F7+yngS//GrB6dnrbvFqQBK/RidMzvYoWTa8vZnqB3VXwnvwE8Oe/ELsQ9ivke09T\n8DjnCIJgigqeORp/opqEdA9e4QzeOIumIWQl6sAL3DmM2sdhBT2VOOyMVlMKXjl3gX4uD5y5Aotm\n8vVm1BbzdxEREQFc8eeAqjqdnvr/TubvAGHRpADcKfIbPWTFVHhvfIy0aIaeen6NfjwPmavgSYI3\nmyV4jGgKXkHJOaX0mn3/7xhWXZNwDdqUa9R4hcCqYtEcRAs4vucUPEopyDXo5ZMhK3LRMe0ZPEAM\n+ycUPK0Hj4ZeZNGskCBKLDXPkrhZm5MInQ7O3fdPM/cxdeHpMztMKXgTkCDOceLp/wvDmZMI3PlM\n31UZMMZ272rubvTgyYW6l00m3dMYbgCDNUHwglFM7EYVLZpbsaVuVxU8eXz+EHB3tqi+ppDEWfts\nTFu5lqQkW5PQjIvGx8xk6dvKzOAVKXgqZCU6j5hSNBMhKxsInA4u9oARP4rTAFYvvYi1zu24d7iK\nK5jHuXXxfJwRwUkA59cGCAosjc62+Cye27awgBksDs+rbQCA1fdxBsCLmyG8YXz7nXCw7hxT953x\nKY6yQP18fORhAcD65hbOzfi4ftiDj1Zi21VxuReiaZOpfvcxK+7Bo6m/Xx50i6YkeO7gknqv5Ies\nSAXPYNHUVME8IswYg+NMPsN4zVGnaNYEr0aNXUNZBU8Wncur7XtQwbtmFk19Bm8XTtJ+YxHtzVjh\n0VM0KfMQELeagpdbk2CIsk7Bax3D7MrDidvUgpA4mfL3KnCGy2hvnsX5u/4nzC7/pbo6XwW7SvBU\nyMoUZ/2k1W6/KUtrUYLmwhlg80K26LwswduMr/LvqoI3ilQYvw/g0O7tZ7ehevBim+K0Z09pnoJH\n46TEsuc5woLMDJ6wSfKk5Y6HIOCaRZOCgyQ+a6YePNvbQI/O4Uf+YAU3kxn8SQP4xBefxCfZDN7Z\nHOG3zjXxK88J98N7rBHucYB//unLWEd+ufiPWGu4xwF+9NM9/DPbwXdZm3j/J2MHxd+xtvAaB/ip\nz25gE/HxPWF9G57bPoHPXBT3fZ/t4w47wPs/uQKA4MPOACcs4PefXMYvP3YFn3A3scQXE9ueBNfN\nTPl8Ryww6ogevFTNRR70kBUancso84VNtnU0N2Rl7cS3gFkthIay97Tya0IYhnDd8RbSPQtqiYsl\nPHzFpmjWBK9Gjd1CaQUvOvn0lsX/96CCdy3AqQXKtBm8KYesAEDQXIQjEyU5hxUMxBcw82F7mwiJ\nWy1kJSdFM29OQofXOirsoiwAaFKtEzUJ8VXXqphZewoAsL3wKnRWH61uByOkuAvx938cuOu7gevf\nUPnYAMQK3jTn5eRCfb8peLIDb+EGYOlrImSF8+opmldLwZPHtd+TOqUyznzxeaVWaQVv8fwfYmb9\nabx01/9YuGhXlmuSVfAAoaClCd6hF38ftreBS7e8K3E7ZX5iO+rcwllCBZT2y4Tal7Jzqhm8IFmT\nsEnFd9G333cbgicc/MCpZdx/mAFPAK+/9QQWF+cBAHctd4HzwD98YAYDZz73+b/hAkF42cb733QI\nd108jLmX+/jxN3bVsd97qQFcAH7k9YvwLf1782/iEIDXRT/d93IXuAj8xBs6YNTBLc8C2AK+9TTH\nwol5nH5sCHdmDv/kxvxjKYOT3ekvkRl1QdkosmiOJ1B6TYLek9roLSUIXvq7pbd4N3qLd5u3SZLK\nr/E4GdvfBA8QKp7ff8WmaNYEr0aN3YJdMmRFnny2I3veHlPwrtWQtQpZUQreLlg03XlYQU+oYpyD\n8BBe6yga/SU4wysIaRvDYTUFz9RXlPclrMNrHwMBgztcgde+TjxO683aSYrmzPpTYNTBYPZmhFYr\nEaZQFrkELxgBX/iQeB9PSvB2owfvIBC8Rkcs2P1BnKZZWsG7EP97VxW86LiCfU7w9IAffwA0OgjD\nsJRFb2HpTzF/6fNo9Jfw3P0/rcI00ojJVmrGTM1mpS688BAnn/oVBO5ckuBxJubqUqQNiObtoBE8\nRSr1IuwUwZM1A6mahE0qCskfPNOBd/4MbuIvoD0nCP2Z48eweFickw+FbeA88A1HLfjt/PP0qbUA\n3G7i9SebODpaAHmZ441HQ4SRtffYgAIXgPtPtArP98eGTeAi8PrjNpjdxNw5cW66vjUCPdlE+7EB\n5me7eP3JvafcMKsJoiyaVRS8OGQFEHN427i31MXDDKJkUnGRwEwDwjDc3xZNQFRV+f1XbIpmTfBq\n1NgtqB68MScXefLZjgI2Gnur3/DahqzoPXjTV/BCV5Bpy99SiyJJ8OzRKpg9h2HAwTkvtdDLt2iW\nU/AAUZUgCR7l2gyeIngTKHjrT2EwezO45YLZTVgTzuAZUWU27LlPA8/8AfBXfj55+2704MnnuO8s\nmufinlM3Slr1tmOiGpQleEuA2xV2PWn/ngCMMTz11FMYjcyq762rL6MD4JnHv4reyxXmVfcYbtta\nh5xGevSRv0TQmEcYhsXKdQQajhDaM5i9/EXc+PDP4uwD5nJ5on2edeQRbdvyMgAAIABJREFUvO7K\nI3BGa4nOTEBX9rUFONUJnum+6c48LYVSKXh6iuY61u2b0bQIXItgMHsTustfVjPLiZCV6LxGDec+\nHTQcqecaOMI6aHub6jxcxsoOxCEh4lzYMoSs9MH2qGrDo1L7siEroBY4qJjB8zUFL6qtKPPdYjwO\nYgPwcx93YBQ8oCZ4NWrUmDIaXeCbfwK48zuL7ycVPknw9piCd81CVoiwO1q7qODFi4wttfDwmuKq\ntR30wFwXDIAXAo0SZ8txNQnpOQkdprLzpII34QweD9FefxpXTn8bgMk6tzjnBQQvmsEqQxqf+QPg\nL38lS/BUyMoUZ54ksfP2IcFbuEH8WxK8/pVY3SwdsnIRmD0hXocdWDSHwyFeeOEFzMyYwxhINBs4\n3F7DlrtlvM9+ANOIc3/zCkZN8VldXFzMe4gCDUfozd+BUfsYFi5+Nvd+imxlLJpmgrd4IeqrTJ1T\nTGEtpnRM8bPc53iLpjzXgnPY3gZWrS46DXHu78/ehEMv/RFaW88DAPxGPG9ZOkUzGCirfRjVGCTc\nBCXJCk9Z2OOahD5I6EXhIZ3cx19LyMTUsiEr4jFuIkXTd+fgRlUJExM86gDhIPcY9n3ICiDGZOwm\nsF+TQHeImuDVqLFbIAR4y0+Ov1+a4O3BGbxrVXROw3iwnOXYnnYCSfAsbxNwxAJWEi0gtscMA4aG\nPf4LtExNQh68piR4cVWCXLgwos3gjblKnkZz+0VY4QC9+TvEtqymKM2tkNgHFCl4FQie1xNEJQwA\nS/v6kaRlqjN4MkVze3rbLAvOgd/6AWDlWQAE+OYfA+5+Z7nHrp0Djt8j/t2IFqn6PF1pi+YSMHsc\n6F3ZkUXT8zxQSnMJns3EAr3tEPg599kPsEh8jptpWLArPBcajhC4cwjcucL51lhNS1s0xcUroj2W\nhCMsLH1O/DtD8AyqnPwss/R9TTN4qVnhVIqmFfRAeIgV3sWsKxbHsk9tdvnLYNRJ9HimCVcedAXP\nRGrVMZHiBTlPuRmIUvD6igSFO+zB2y0IghfVJJRMhubUjVI0++CgGHZvVFUJZS4emo/DAfz876SD\noeC5r1j1Dqh78GrUuPaw976Cdy0gFiE+ZlcewaB7QyUyUhbSGmT7m6oiQSd4csC9dNAKsdSCKoES\ncxLcbsJvLKLR0zqOtNS99KKmLGTASm8hJniAYd5nDPIJnpzBKkE8pKqWJoNKwZviDN61TNEMfeDJ\n3wVAxCzck58o9zgWAhvngfkz4mep4G1FxcbEqhay0j0BtOZ3pOCNRqPCCzzyc1P1/bTXIMrAI6th\nWRIdgYZDMKshLp7wIFeJNqlpgE524s/F3KUvwAr6GLWuyxA8ysTxmdIQ8xW8+NzDKU2ogumQFZmy\neynsotuICN6siNtvrz8t7JmaqyOuXih+bwqC14yecxwsEx8HAwctLN4W+0te7JLP0Qp6ak5tzxI8\n2lBF56UsmhBkTMzg9RA6bYxmTkzBoin2faBDViz3FduBB5RU8AghPwzgPQBeDeA3OOfv0X73VgD/\nHsD1AL4A4D2c8xdytnMDgF8D8HoALwL4Yc75H0989DVqHATIGb2tS2IBt8dmB65ZyAq14PYvwfHW\nceGOH9yVfSiLpq9ZNDWCJ+coy1Yl5JUNl/0SHs6cQnP7fPw4bdZm0h68mfWnENgzGM2cAhDXTYjE\nvvLvtY2NDWOqoHv5JcwBGPU3sLm8XLiN2e01NACsXHoJvBVbvA4FI1AAo0Fv7DbKYq63ARdAf2MF\nvQm2aVlWKXueEZIgvObdwNf/GNh4qdzjtpbEY6VFsxFFnEuC11oop+CxUDxm9rhQWK88V+nwdQwG\ng/xzAOdKMdn3BI+HCO22qEip+Fxo6IFZzTjxkI3AaPazZVLeALOatXjxU/AbC9g8ch/mL30+dayR\nsl+G4Bnm9TIWzejijaqJ8QTBWwq66EYKXtBYRODMwvY34TeTdRhlz000jC2a3GRL5SH4GPUOEMXn\nYn8pBc/vgUZzaqGzN9VkZjVg+5ulQ1aASMELPXAm3qOj9nE4ozUxMzlJyAri90NeyApw7b77p4aa\n4JXCRQA/C+DbAKhXixByGMDHAPwggN8F8C8B/GcAeVFqvwHg8wDeEf3324SQWznn0/lGr1FjP0Kl\naF4S6t01mHcrwrUrOnfgRAuN1ZNv2ZV9qJAVbwtWVPjqNw+Bg4CAg1RU8PJqEkoTvM5pzL/8Z+pn\nyjUFz5IKXjV1YWbtSfTn71C2J1kYT4MhUNL12mq18NRTTxl/d3zlUdwLYOPKMh7+8pcLt/PA6mU0\nADz2yJcwbBxWt789slOur13BI2O2URavW1vBIoArSy/i8Qm2SQjBQw89NNkciiRhVgOYOy3CZcpA\nT9AEsgpeezFO2y1Cb1koNN3j4ryyAwVva2sr9zUgzFPBGPue4LEgJnisKsEbglluqu7AQPByzgOK\n4Gn7dfsvoz93Kzh1Mq4AXdmPD2KMgqffN+U0iBUwSfBEKM8Fv4PDkYIHEgWtXPkK/MZCYh9VLJqB\nO598zgmLJhtrzxT7S878Ufn/hEVz7xI8OvQyRfWFj4ksmuAMod3BqH0cgHiPTKrgMUXw8h+37wme\n3QDCmuAVgnP+MQAghNwP4JT2q78O4HHO+Uej3/80gBVCyB2c88RqgBByG4D7AHwr53wA4HcIIe8D\n8E4AH9rpE6lRY99CpWheBjpHi+97jWBZFhhjV9WuKb94thfughd9oU0bod0GB4XtbyII5tRtodOB\n7W+psvq+zxCWmENkxAJYmLkvjxYgISmeZxzMnMIRbwMYbSB0Z8EjO15AbATydB36pY4FAEjoobV1\nFks3f596TEAjVhcMxm6HQhCdTqeDTsccWrDQE3+npk1w5MiRwu01LEEGDs/PYNSJ7su5slo1HTp2\nG2Uh99V2MNE2l5eXMRgMJiR4kVXNcoC5U5Ey54ufi5AmeOkZvNZiOTVQlpzPnhDb3MEMXq/Xy30N\n9F6uqsE9ew2Eh0rRJ5UtmsJ6mFt3IPehhSbpYDT7OLlNU3CTKawlX8HLEoDcHrwwadG84Hdxkxuf\n8wezN0YEL6ngKcI1NkVzqMKy8gheGaLCSVrB20cWTRlyxcNSPXgAIpLvCaU4UvAAUZUgLypMrOAV\nkMwDQfCmGdy1z7DTkJW7AHxV/sA57xFCnotuT1/uvQvAWc65HrP11ej2DAghfw/A3wOA66+/foeH\nWaPGHoa0EASDPTd/J3FNCF70xbN68q27txNCETodoeA1o0J1jeBZUczyz/1ZuQXyz9kjvM3y8L2/\nfSlx+z+wNvGjDvC9H1sRMyY5eCvt4Fdd4Gd/92t4hN+Kt9EV/IoL/JNPbeIsX8WTTeD/+eoafunh\nS7nb0HEUa/hik+EXn2zjNx4Tj/kWOsCHXeCDn7yIR3jxVe7DLYp/944jcGi+gistUWWURTnjQ/U5\nMh6CRMHuxvnFCSEXjpNUQkgMBgPMzk7wmVQKnisIHrggXQtnih+3dk7YtOei66gmBa8M+ZCEsHtc\nzOAFAzHnaFcPKtre3s59DSwtVn/fK3g8UKpbpefCubBkWg0jUUvsI9eimZ1Ho8wDo67R9i1rAbiV\nJXiZkBWDgpe1aKYIXqTgrSJO0QTioJWgmbQul1fwhtoM3uQWzbSCpyya4VBcmAPA9qhFk1sNkNAD\nAS9t0WSWCxr6sPwegsacuuDZ6L+MYee0uFPFkBW174Os4D34o9MN7tpn2CnB6wBI2ys3AHRz7psu\n49kAcNK0Yc75LwH4JQC4//77r36EX40aVwu6R3yPdeBJ2LZdqg9qmmDUAScUaye+eVf3E7izwpYV\nxH17gdNFA0uYabp472tnseWVe+43LjfR3mZ4111JteveVQtsjeD77iomC4e9W4DzwLtPreL22Q7u\n3raBS8Dbbp7FsjsPnAXuP0axuVAuAvyQvwm8CNx7cha8Kx5z42ABuAi84waK29v52/n6qo8vLY3Q\n8xjmmwWLgOiKOS1B8Kxoxke3olEtNMZkb50UMpFwUmXJcRxsbGzg2LFj1R+sEzypVG68VILgvSDI\nnVy4pwlea1EE0TBWHP2tK3hNYYnDYB3oVnsuQRAgCILchR7Vermq2hqnCRoMcMsXfwpLt7wbW0cf\nmGgbhIUIneoET17YECErYwjeOIumRt4VGTIk86qahFT1gb6P+L6GmgRqJy+mpHrwHG8DAW1giIZK\n0QSA/uzNAJIdePq26ZgAKBoMlUXcHLJSLtlXEkppYSc8UDZGZyCWpHtawWMjACRB0IvAqQvCRE3C\naOYEAncOodWC21/CaOaEuE9li6Y99nH7nuDdvDujHfsFOyV42wDSK5ZZAKYynCr3rVHjlQM9xneP\nKnjXguAtn/kObB+6F0Fq3mPaCNxZ2N5mFEFNwK0Gwsiqxa0Gvv2W8guFU4+10Bww/I1XJYnTiSct\nYN3K3J4Buxn8JQvfNLeMm+/sYOElQfDefussRjNz4GcJ7j5EceiOcgSvtWkBLwIPnJ7DrSfEY9rr\nguC95RRw33X52/n0uQG+tDTCKCy+viZtemXSPeViLhEHrxO8KaZoSsKR6NmqgEajgfX1Ca2NCYtm\ndIW9jLVy7VySBFq2SNnd1hQ8QBTC0wI1bmtJLJRnjohgFkDM4VUkeHnl5urw9oiCd/T5j6F75SvY\nPPzayQkeD9TcVpmLFRLyPS1TNPXbMvvIUfBUOIuu4IUemGVW8PKCU8TzyKtJSFo0TSmallLw1jG0\nxcVGmaIJAP352/DSne/F2vFvSh6/StEsvkCTrElw1W3xcZSzaDJdweMclPnwmkfgDpfhKoK3NxU8\nkaI5AidWgqAXP8aF7W/ACvrieRECv7kIZ7S2g5AVN/r/AbZovsKxU7/V4wDulT8QQmYA3Bzdbrrv\nTYQQXd27N+e+NWq8cpBQ8PYmwXMc56p34Q3mb8Pqqbfv+n5CpwsrUvCY3QIIUQlsZWOsFYhlJCll\nr0yD2hi1T6DZE2QgDllxAEJEN+CYKPLE5qLFk94hWLYm4db+I/iE+0/hbhpDkRUsX6YoVrFoxvdN\nEMMpKnjy+dEJLZqu62JjY2Oy972u4M1GJpWN8/n3l9BLziUanXh7kuCNe61Xnwe61wnblq7gVYTn\nxfs5/vSHcfypX0v8PjmDd20InuVt4tjXf1McQ8UAIh0kSigEqqm+8r0sZvDcxG2ZfeTUJIBQoUDp\nalZEhgTBY6JbUe7TNMs3LmQlU3Qenac4AwEHow4ID0GYD3u0gb4keJqCB2Lh0i3vRugmnSZ6hcvJ\nx/8DrnvmP6nfHXrx93Hjwz8LsACUB3H3G7HAqJNUfktbNLUZvOj5BtExucNl4f6w9mbEP7NcUOaL\nVMySM3iyJoEGfaUyh04Hlr9trMEoA/5KUPBe4ShF8AghNiGkCcACYBFCmoQQG8DHAdxNCHln9PsP\nAvhaOmAFADjnzwD4CoB/Hj3+uwHcA+B3pvVkatTYl9gHCp6cwTuICJxuFI0+QBhVCMiwBVZxkVBU\nk5DXN5TGsBNXJaSv+HPqgFSYKSCK4MXvsXCMyiBxfPgc7qbn8OBX/jFa68/k3k9aNMcqeJyrfeZb\nNKeo4MkZvAkVPMuyEIZhguSUhlLwXMBtA+1D4xU8rwf0LmcJnrRpWg1AzhUVvQdWnwee/P+A275d\n/NyKCN4wPSExHrqCN7v8JcyuPJz4vbT0cZCEKns1cd1zv6kKoKt2ROoQCp4keBMoeLScgseJZUxK\nZlYzJsksVGRILcA507aTJXjjaxJSFs3ofvL3oS3eZzQYwvbWsUXFd5Gu4OVB7ZsFOPTSJ9G98oj6\nXWf1a1i48Gk116efi0TgSDpFs7xFk7BAnT8kwXOGy3vWnglopfZglSyaVjCAFQ6VMim/t3acolkr\neAcWZRW8DwAYAPgJAN8f/fsDUb3BOwH8KwBrEP1275IPIoR8iBCiJ2S+C8D90X3/DYDvqSsSarzi\nQUhcdr5HFbxrYdG8WgjcWVieKDqXHU3KolnyCqsEN8zLABHBK/kFPOycRqP3kggfUbM24stYXGUv\nT4KUgmcbFLwxypZLxH4C2sBtn38/LH/beL+yM3iE+SpMJU/Bm9oMHmdq4TepgicxGExAEJWCFy3g\n5k6PJ3hrkVKaR/DcmXh7aQLysb8PfPyHRNn8p38OoA7w5h8Tv5MK3gRVCdvb27DtaN4p9DIESip4\ngTt7TVI0LX8bR89+HKsn34rQmRk7A5YLzkF4CGa3KpNVXSUfP4MX5PaO6WRHXgDhkUVTPFYPRZE9\neNkZvNyQlbSCJwNKou1K1wINB7C9dWwQ8V2kz+DlQZIFd7gMx1tPhCjR6HM/s/6Uep6m5yyOhZVT\n8Ehs0ZTPI4jm193BSqV+z6sN/aJh6aJz6qpkU/nchPNkO56lnDBkxfS9xDkHIeSqhqrVmD7K1iT8\nNICfzvndHwO4I+d3P5T6+RyAb6lwfDVqvDLgNPd0iuZBJnih04Ud9GD5PU3BE4vqsjHWEgk7lX6V\nnlUgeDOnQZkPd3DZoODZlVQKfT5IHUqkGFtjFuQuPPjcwn879V5829l/Bbd3EYP527L7KDmDp8/C\nmWbwhAIzHYKXjJufTMEDREVEv9/H/Px8tQfqFk1ABKeMKxtPVyRIyKqERifeXpAiEM//KbB1Uah3\n578AfOM/FCXnQKzgTWDR1CsSaDjKXO2X5D5oLFwTi2Zz6wVQNsLaybdgduXhSup2ApoKwqlbKTDG\nRPDyCCJhQa5iIhQ8aWGOtkkboBD/JjyENGmaevAqzeBRG9SPjjFN8IIhbG8T63YXLgUa9vgOVEke\n25HSn7hoE/1NZtYkwdMUPNpIvlYVLZqU+yA8qeDZ/ia81t6sGwLiSgwgW5eRB265yokQ2rpFc3IF\nr4jghWE4WT1MjT2FnYas1KhRYxpw2sBgbU8reFd7Bu9qIXCFWucOL6tFQhyyUu1LLrZThYB2xbyK\ngjfqiIj85vZLGSsWJ44q9S0DarBocuqCg4wlPi4CjOBgM7qSL+PH0yg7g6crabraJ1UXZjenpuDJ\nHrPA6YjjSxPukpBJmidOnKj2QN2iCQgF7+xnio9jPVLw5m9I3q4UvG68vUTNBAf6V4Ajdwpy15gF\nHnxf/PtmNC81oYInF3qEjQAkzwEymChw568JwXP7Inxm1D4h1O0JFTy1SKZ2RlUaB3lfXjJFM+88\noPrRkCSNUoHTPxvxbG58ASomeMnzg1nBszPblRZNx1uHFQ5xhc+WsmeK44gI3oaB4EX/nll/InpO\nukWziWSKZjmLph6yohQ8bS4wnHJFwpUrV6Z2gdPux+e+zd4Qy8vjTWyHRgFkk+faIMTy8jIWfIpD\n3ha2N8XnemV1HaNeeZJ3xBOv28DzM8fAOcfCwu6Gm9XYfdQEr0aNvQA5h7dHFTzHcQ6wgidec7d/\nCaPWdeK2iPRVVvC0NDmOJMErFbICqF6jxvZ5VQAur77ziotYfT4oPhiSnPfJgQMfHmxsErHwyyV4\n+gxeAYGxEgmBWQWPWc2ppWhKBSZw52H72yDhCFyfdS2JRqOBtbW16geQsWieArxtQbJaOQunwRoA\nEgepqIPQFTyDRdPvA+EIuPf7gBOvBaid3IflCJI4oYInF3o09MCQ/NvSoA9mt8GsBuzRBK/TDtHo\nizqIUfs6cOpMHLKiVwmIzrFJUjSb5WbwchS80G5pIUQxwVPbYlmLZkLBywl4Mc/gWUrZS1s0JWle\nZt1kwEoBuLJorohjMFzAmVl/Wj0niaxFs3rIijx/+DrBm7JFkzGGBx54AI1G9R7JNKxnt4Cvi3/f\nfPurcObVD459jBt+FoiCdO+49wHceuZBOF/8GujF/4JbTx8Fngde94Y3gc8cKd6Qvk3vj4BLwLHj\npzD/YPYYagVv/6MmeDVq7AXIJM26B++qQwaqWGGUogkxUwQkrzaXgW6T0rWOKiErgbuAwJ5Bc/tF\nhG5XLHii7VZVKUwpmoBQy8bO4HEfHhxsQhAMy9s03k/VJIBHM0bmhUG6xDn979BqTj5DlbOvwJ0F\neuJvG0xI8FZXV0tdZdfhrq1gDsDqZg+hswyXzIqfzz2K8PCdxsfMrF9C053BlZWVxO0dZqMFwCMu\nBr0B5gCsXbmEgIrFHN26iEMAtkIHw+5d4kGp4110u/DXX8ZWhecRhiEYY2oOR0a76xCx7e3Kqte0\n0OgvwWseEupZ1BU2CYh2ISXuKcvi1s+/H6snHsKVM39V3Ua1HjypqOURTcKCxNycDmY1lBpOtM+t\neQYvOZsr7wtk1UOThY9rs7yS6IWRLd0dXAIAXAq7FRS85PsiqeCJ10JeCGLa55Cn3zclnQ560bl0\nNIROV8xPgu9KRUKn05kKwUMnvvjSbM8CnRKVN+04fL41d0w8Zk7YUBuBOC/PdOeAgl7TDFqRYtto\nwSlzDDX2HWqCV6PGXoAkeHtUwbMs6wBbNOPXXBK8rUP34ty9P4btQ6+utjEtTS5xcwWLJgjBsHsG\nra1z6C3cmSBMYgZvEotmiuClrFEm2NxHnztY52KxZFLwSOiBMh+BMwvb3wRhfu5ciU4okzN4UWCE\n3YI1mnxeLrEvadF056OfJwsAkUEDX/7ylys97vjKM7gXwGNPPo1+awtz25t4I4Dnv/I5LC/0jY+5\n++ILOAw3s6871nq4AcDqtoeXzr6A+wE89fij2OiK13C2dxZvAvDshTVcHpiP803MweDSC3ik4vPQ\nr+JTNgJnyb9tTPDGK8K7gUZ/CaN2VPRMnYkvEBCtSywzF6ahs/oYgsZCkuDpc66ERD1nOQremJAV\nZ7gabbMcwdMt5IrgpcipUcEjtnqt5HaDiBQ1IgVvKeii2y0ZskEsMUMLFh1D9gJOfJzJFE1d+RUW\nzTIhK7qCF3cChnYbdtCbukUTmGKipF6LZJd0iGghWWhEZE+GJ/WuiP9XDFmB/E4oSNGssb9R/2Vr\n1NgLkFc19+gM3kFO05LzdgAQRimaIBauXP9XKm8rL+igSsgKAAy6N2Fh6bPoz92STMqjYmF25Pn/\nF4df/ASefPMvF86W0XAkynRTX+JiQV5MpqxIwesxB6HVNCp4KmTDnYPtbwobX449Kl3iLJG0aE43\nZCVoRASvYpLmqcf+PSjz8OI9/2iiWZS5oXgfLRw+hpn2EdhdC3gMOOIMgSNmG1X7BQbudnEk9Xv3\nyiHgZcCeWUB34TAAYHGuA/eQuF8XYnZv5vApHDlk3jZpzqMNL7Pt0mABCGcZhYxeawWvt4Stw6KK\nt6p9WUesctngeRbNqFDb7V9O3Jy+iFL0WhSHrLRUkIYkaYw2tH67+MIOZdm5unwFzzCDZ7RoRgpe\nfwkAcN7v4ExJBU9s0wZhHkJ7JjODF9ozSukfn6JZviaBMl+9Jxl1EDozguDtQorm9Aie5iQoW8Nj\nqlKS4Un9SPGvStTkvmuCd2BxcFdtNWrsJ+wDBe+gQoasALGCNyn0GTwdlRQ8AIPZG2H7W2j0X052\nXUU2tKPPfwztzbOwR6uF26HhMKPeAcIOaY0hPZT58ImNYcBF0qhBwZMJmn5EpIoW2PkWTY3gTSlk\nRRG8SJ2t2oXX3ngGM2tPTLz/tGoSNObBqAN3cDn3MVbQN77/5G2h3U4USkvYEfHWleg0ZKT6pJB/\nu7R6bGkzeFe7JoGEHpzhMkZtkRYqZucmJXjx3yuPoMnXPP03THdNFhK8sjUJWnBL3DFnUPCoTvDM\n8395Cp4ijNKiKRW8yKJ5weug45YPJpLb783dmqxJCH305m7NHGf6OYuNlJvBA6Gq6kF/fix6DmyK\nFs0wDGHbNsgEIU1G6J9xw7nZCJ0IphW8vlTwKhI1uyZ4Bx01watRYy/A2ds9eAdbwYvnD8KdErwC\ni2YZ65HEoHsTAEE0Eos4aqO9eRbNnuhUa24Xd6vRcGScI2T2eIsmYR58uBiFHIHbhe1lCZ4ekw8U\nd+HRvJCVSC0J7ZaKbDfh1j//URx97rcKj1ltP1JAfHcyBY8yXz23IjS3XsA9f/jdcNKL/vSMFKHw\nmkfgDosJnml2SKoRzG4lCp4lZIG0niKYRuB2ckNyykAqWpQHicLtxAweG4mQnR3gxJO/ipu/+IFS\n93UHl0DAExbNiRU8PWSFmmfw5HvbGa4kAk9iBc+N/l+k4OXP4uo216RFM3vRiDBfKPPaOUUGKZF0\nyIpxBi+2emcUvMFlMGJjE23MVlHwiA0OgsHcrRkFz28dge8uqOdpes7iWMqlaAKyE9SPE0WJE1cI\nTFHB45xPN3BkIotm9JoRKhK3gVjB6+1QwauYFF1j/+Dgrtpq1NhPsFvii82d/uzANEApnd4VzL0G\nYsW9d9Z0CF6aqFQJWQGEggeIVLqkgmfDCnrgUZphs3e+cDuC4GWvEpeZmaLMR0AcjAKO0JmF5Rss\nmr4gQZJIFYVcyBTNwOkm7ieVhHEpmu2NZzETxbCPA1EKniA9VbvwCPNBSxC81tbzcLwNNbcUPz6r\nmjC7DRrkH4cgSyYFL160ynlMalLwnHEK3g4InkZ49L+R5UcEjzaEhZOXnw81ob3xNDqrXyt134aq\nSIgUvB1ZNKPjplZuiqYkTgRMkLwINByK2H4ZhFQw30oLZlSVbZpz4wweUgQvY/WkFhixKyh4SYum\nKnnnITxnFgApnaIJiNd/NHMSgdMRs3jSAsp8MOpgMCsuWoUZBU+vSSip4CEmqfrzkxdIpjmDN/VO\nOGcCBU+NcHRjS35awatwAVHsu1bwDjpqglejxl5AcxZoHyqcp7qWoJQe2JAVIJ7D2+mVX07NM3ik\n4gxe6M7Ca4p5K5ayaALAxrE3gFEXze1xBG8Inkvwxil4PkLiYBhwBE5XEQkdViBsf2rWrcAiJ8lN\n4M4li8hVD16r0KJJwxEsr5zNkGYIXjUFj5RU8KxI1cwotqn+QmA8AaG5Cp5YEDK7bVbw/E0RkFFw\nASFwuoJgT1hDYaq1ELf3wZz22P63srC9Ldj+NmiUJlkEN6pI8GbAoriDAAAgAElEQVQEwdtZTYJQ\nJTkRKZqmkBV927pNM30RpahmobAHz24qkqyrgqZzCuWBkSia1EPzDJ6t/o5peyoADGzxuSmboimP\nvz97szou+XpJUtufuxksmnFUj6Ep5Zez8gSPONEMXvxZk8RumgoeYwyuW60upxD6PF1Z9UyGrOgp\n2w1BwuFtC5JWde1g1yErBx01watRYy/gwX8EvOsj1/oocnGQLZpArH6wCaL0deSGrFScwQNim2ay\nv0r8e/XU2zGcOYXGpAqe3RqratHQQ0jt2KJpUIDSFs0iBY9qCl4iZCWMaxIIuNmmyUNQHhSrUJyr\nhWI6ZMUqUM6Mx8r8xOIxD/J40spVur9Q/Ls45TFvBk/ZzqyWVvCsK3gbhfZMIH8+qyz0v5d6DpwL\nBc9qq+3npU+WhR2pxEVWVolGfwmMuvAbojdwOjUJtojuN1g0SRHBozrBy794UhyyEpHkYBiHrFjN\nnBRNM8HL1A5AXlyiCQKQKDpnccCMdDD0rIjgVVDwnr/vp3DhVX9fdYcqAsk8MOri5ZvfjWff8D8n\nbaVWUvmt0heaVvAYtTWL5l5W8DTyaZdV8CTBi+fFQSnQjD73k5C02qJ54FFT9xo19gJmT4j/9igO\ncsgKEAethDu0aMIQiABUD1kBhE1zbvmLiZqE0GojtNtYP/oGLFz8DFqbZwu3kTuDZzXGzqUJBc/V\nLJpbmSJzSfDUrFshwRuBUTebnKcpeOLnEDz1fpMEo2iO7OjZ38aRFz6Bxx/6j1NQ8CL1IegjLCBP\ndhRckiaChPmJ/kIgInh5pJrz/Bm8KDwlcGfjkBWNUFreprpPHmKCNwJzqndeEcPfi4QjEDCECQVv\nZ0ErkjC7/csYdm8svG+jt4RR+zpFGHZWk6DP4CUVOMY5fuGLG5jZXMaHots+/djz+M9PC2vcj482\ncQez8ZN/In7+mRHBEdZTP+v4heEQW7DwU4bfvSMI8D4AP//ZJXx7uI6/DeAnP7ON17Ie/jWAD31x\nFU9a4nHvH23hNYxm9vFhz8GTFzbx8yvx7T/obeE7uZW47w94Hn6AM/zkH6/gbraG/w3AL3+lh/f5\nLk4AeGJbkJDZRnlVqD9/h3gNUxchKPPAqYuwMYftxmsSj9GV35A6lc6TUoVMWjSnP4M3dQXPcsR7\nlrMKFk0DwQPEHN5wfWcEr1bwDizqv2yNGjXGQip4K6kS5oOCE8wVRdQ9Hxvac2y322i3yy8WClM0\nabVFwiBa4OpX/Jdu+36snPlr4HYTw5nTmH/5z4q758KRUrF0hFZTzcTlgTIPIXUiBW9WqFrhMKEy\nSSud7JtLBzwkj2UoFAmrAaLZH6k2gwcgUxIvHwugMAlyZu0JNHvnxfycIngThqxEVlNrDMFTCl6a\n0LNs4TuzHOMco7i/B8JD4wzeoHsTnn3dv8bm0fuVTTY9g2f6Gyf3vTMClpzBi18bACpkRWx/Bwoe\nDxVhLkoblWj0l+BF83eA6ITb6QyetGjqz2NjxPC5F4d4eyfe9nFyBS1HkJ+W58EnDfVz6DfQ5J76\nWYczDMGpbfwd4+L9P2f7mOEeAlhouDbswAJGQNtmaNnR7K0fIOTZ7XjDBtpklLi9GYQIkbwvCW0g\nALpOiHbIgBFg2xY8vwFwwHPm8JZjLRxqV7+wJ7v5KPMAHorqgxyVSL5vSDgCnE4liyaLytpVyAp1\nVFDMNGfwGGPTVfAIETP3fq96yEqa4Mk5vKodeIBG8GoF76CiJng1atQYi0ajgde97nVgjI2/8z7E\nzPZNwJU/x+1334fw8O0AgM3NTTzzzDPVCF6ORbNqyAoAFUqgkze/dRR+6ygAYNg5DcIZ3P4SRp3r\njdvIq0mQlQRF5FBYq+IZPEAQGp3gWUEPjNhqQVWkoNBgiNBuZhW80AcnVi45Fs9D3N82qIgSjai/\ny/K2RCk3qLK4TRKyIp5f8RyerSyaWQWPpa6Mc+rmvj5yP8y0MCUEm8deH23DbNEcds8UHqeu4E2C\npOIaJI95SgRPJ+9uFNWfC87R6C9he/FudROjzg5qEiKbIo0IHvPU+2xtIM5577jRAp4V93/T/AaO\nvV5YQ2/5Cw7bb+OD3yR+PvOVLmaXA3zwzYuZ/Zz4DMfiTBsffCD7u/mlQ8CXgH9wXwOHzhOQ8018\n8M2L6KwsAJ8H3nPPDLYPi8fd9CWK5lYjs48jn2thwQE++Ib49tOP2nAvOIn7Hvt6F3gS+MA3zmJm\nrQ38BfC3XrOAw090gDXgvhuP4fhtxbbfPCgbceiDRH8PVhAsA2g1HBVSNDMKHrERuHPgoIlu050i\nDMPpKniACFrxe9UVvHSNkkzSnESFUzUJB9ud80pGTfBq1KhRCouL2UXJgcGCUAIWjp0EojJpznnl\n5NC8mgSULPDVMexcD05ohijEvz8NAGhuny8geHkWzXjBH+aqfz6YE1k0Iwur7W0pggloPWhq7qYo\nRXMAZrWEBU5P0YyIpIqDNwSBqARDHmZURAlJ8GxvQxSuWy5ASCm1MvPcpUXTLyZ4lrJoJkmpKS2x\nKGRFqWFjLMLM8BrZ3mZhgiaQX4JdFqYZvGkreHoNxzgFz/I3YQU9laAJyI7ISS2a2hya9l7mVgNr\nQ0Hw5h3xmvvuXGoGb2iI/q8+gxdqZEe9f2EObsq7MGPat6maQQ/riZ+7pWbw/DEznUWIQ1Z89V7J\nTw5Nvm8qpWgSB5QFiZCVK6e+FYPZm8Zalqtg6goeECdplp1/s3Isms0dEDy5zXoG78DiYCcn1KhR\no0YZdK8TV46b8cLGsqzKyaGFNQkVCR63XAy6N6iY/DRGM6cAoDBJsyhkBUBhbL9cRA5DrghE2mJo\n+T2EzoxKxitU8KKFMLPchJVTkqG8104+Nt5n1qZp+dtKTbO9zcSim9mtahZNztRiepyCF1s00wpe\ndiHPCxQmaXUdZy1LK3gk9GCFg8KSc2AKISsJi2Y8nwhIgrez7QNIBOiMU/DSFQlARKC1eP4qSIes\nADHpWBuK7c1a4j6jmVOJ46MslaJZEPZSmKKZIHhDFdxiLjoPjKpYXopmulw97tYL4nlOYqljkNbm\nSaATZDVfW5LgVUrRNISscLuJnqbqTgtTn0GXlsudhKwA0wlZqS2aBxa1glejRo0ar/mbwPHXAq0F\nddMkX+q5M3gVaxIkzt7/M7mLo9Dtwnfn0ejll53nWzTHz2RR5gFWVsHTIYNBYltWwQxeII4lnVIo\niaSpAiBxLHKf/hb81pHE791IvRPHuAGiKSBlKiF06GRtvEUzUvB4tiYhrVoUFXHLlE+TMpncMBVd\nZdFrJFMnx6Zo2jtT2IjRotmLtj2jVOa8eoAykPOFw5lTYxU8Z7QKAPCbh9Rtejw/o9XCkmKbn5UM\n/gCURbNri8/0sHMKnbXHQf1tMKdjqEmIFGODlbhUimY4Es9BbtOYomnowYNWOzBmnwkFT7OnhvbO\nCV5SwfOi28wWx6yCx0pbBuXnKVbwpmyj1DB1gqcUvKo9eHkWzQmOz65DVg46agWvRo0aNZwWcOob\nEjdNRPAKUjQrF9ECGM2cTFgi0xh2TucreJxn1AWJsYpLpGJxy0XIgZEVEby0ghf0RAE3LaPgjcDs\npliEpggD0xS8ohk8cQzZJM1GTyN4/qaYwYsUEGY1C5XKzL4SBK+4j02qiTTdg2dQTYRF00yA5H7G\nxrsTIpTAaObPkiXnYxW8HYasGC2ag+iYW5rqNbmCJ/+u/dmb4Q6XzXUZ8r6jdQBxPQeAUjbhXOgz\neOq9LLazNgzRcQkcLn4ezQhrtDtYFvfLELxG7nGY3hfqcbau4MXbNH0uhOqdJTRmBS97cUnfJuF6\nB2BE8Bo7t2gK8iVeA5ZL8NIzeCF4yWUpo3YUspKtJJk2doXgEQpYJclVoyOIWCf1XbATi6Z8bHPy\nv3WNvY2a4NWoUaOGARN1/6mFU3rBP5mCNw6jmVNobpsVPGG/YsYZPDXvk2NdVEpTtFjrUZFOl+6h\nExbNttbPNj5Fk1lR2Ei0sBQx6o42a2RQ8MZYNBtR6TWgWzTFAjm0W5Vm8PTnUEgMOYtn8AwKXlp5\nLQpZoRpZGgdOHRVeIVWvKjUJk8BUa0E1UjqdkBXxXAZzt4BwBme4mntfZ7QGIK7nAJLKUVUku+C0\nZEcIBW+haSnCN4ys0dKmmZ5zTVs8k/spUvDiz2SC4MnzUKYHz6DgGWfwzHZh+TvoM3jR+29nFs2Y\n4I2bwVPWbnkBYaKahGwlybQx9R5YuxlbJMugOQe891PAPe9K3r6TkJXFG4Ef/BRwy9uqP7bGvkBN\n8GrUqFHDgMksmgVF57twhXk4cxKOt6bmoXTIBWbRDF4e8ZELLhLZePrcBaNOxqJJgz5Cu6NFoxcp\neIOorDtdhJycwTMreDHpMip4/SUEzixCq6mFrEgFb3ypuw4SllPwrKAvitmRtZVSw6JahawY5jpL\nK3iIlQtA2FGBEhbNqc7gJUNWmN1S82KmgvCykO8tmR5bNIdnj9YQWi1wWydW2YTRstBn8NJkdW3I\nsNiiiviPOicTxyf7HSWKyG4pgheOQMYoeIRnU1rFNpIdfvK5ZWbwlJXcjy2axILfWEBoNVUv6CSI\n53HjGbz8mgRDimZZi6YKWclWkkwb01fw2uXtmRLH7wWc1MW6nSh4gHCtTJu81tgzqP+yNWrUqGGA\nZVmTp2jyZJ3Ebil4qp7AoDTJRVNximaxgkeixdooBAJnNhuyEvRFqTCxwIlVOINnBUMwu5lROGik\ndsUpmgaCpxEHy8sSPLe/hFH7OAJ3Fpa3mVBAmN2sFLKStGjmE0NdzUwTvLy5JwJutB7qlQPjIJUL\nIFbwxqdoir931TRRibwUTVlFkUdq7FG+CpeG5W8hcDqivBzFSZqOtwZfs2cCyXj+qtBn8NKq0tow\nxEKTquc9al0HRmx1fKYUTXl7Zj9FFk09ZEWzGOeFrJgtmiVTNLVt6gRv+YbvwpPf9KEdqWHVahIM\nKZoll6W6gpeXNDwtTJ/gNct34BVhJzN4NQ48aoJXo0aNGgbsJEUzu+Av3+9UBUXWu0IFbwzBk3Y0\nYouF2TAKWsmGrPTAHEFKWIEFUe6LWY3soo4FwsKVp36mnp/ZormE0cxxhM4sbH8jSfCsZjUFT3sO\ntEjB84oInjlkBTCrnIIsESMZT0MqF0CFkBVFWqYRsiItmgOhBEdzgRw08X5qbL2Ie/7ob2Bm9fFS\n+7C9TYROF17rGIBigmeP1jPl7juyaPLYoimrKqygB8451gcM88344gWzmvBbR8TxRSElyRm8lO1Q\n34+BbOnHz0FgqRm8iADkzuCZFLyGuJ/2fixW8OIUSlBh0Rx1zZUrZcG1GcaxNQlp5bdSiqajUjTz\ntj8tTJ3gzRwF2ofG328cdqrg1TjQqAlejRo1ahhACIFlWZXK3adZk1Bqf1a+NU4peLQgRTN3Bi+K\nwlcKnig71+2RJBQLOGkr5AUhIuBhlAzYzIRYlOvBE8+PEytr0eQh3P6lSMGbi2bwYoIXWk1YlRQ8\nLbGzQMGzNaKZnbk0hazkh4DQqE/QVOCeRlLB20BoNZXqlAtiRUXgk1s0OcSxKYIXDtUsJwjJ2ANb\nW+dAwAutlpa3qdRn299C4MyC2W0ETrfwcc7IpOBNHrJCtKAOL6peaPSXsOVxBBxYaFExKwoKUAte\n8zDc4YrxIkruxRMegoDlKnjiNWyKFE1trs9o0cztwcsqqUY1mRhSNKd0fmKVQlYmT9EUVmUflOfb\nXqeFqRO8h34K+P7f2fl2djKDV+PAoyZ4NWrUqJED27arEby8moRdIniKLFVV8GQPXq6CFy3iIxvR\nMOAIUxbNwy/+HgDAbyxG+ykIEdHUD6lMSEVEJgKWSdH0G4sZBc8ZrIDyAF5k0bS9TRA2UsSW2a0d\n1CQUKHgJi2a6B88UslKs4IUl7JlyO6omwdscm6ApIcnDJKChF9uBIzJEQy9BLNP2QEnQiqombvnC\nT+L0Y/9O3M/fUrNfXuvomBm8dQRukuCVSXLNgx6yErhzCJwOGtvnVQfeQpMmqjf85mE4uQTPbFdV\n+yhQm+RraCo6T4es5PXgpfdtvtgQ26F19XIaqFJ0nlZ+q1k0pYJnJrvTAGMMlNLph6w054C5U1PY\nTk3wauSjJng1atSokQPXdRGG5YuT8yyauxWyUmTRJGrxWZCiOWYGjzpikemFHIFm0Tz29d/E9Y/9\nAtaPvRGrJ98KQKY7mtUTaZFkeqQ+kxZNYTcrTtEcgRMLgTuXIXiNqANvpBG8jEWTeYWx+4l9ye4u\nQgtTNBNqZmrbppCVohCQKgSPUQdEq0kYZ89UjzNE6JcFDUcIbZGkqoh5qmMxvX01o1bwGrqDy2hv\nPAMgtmgCkuDlWDR5CNvbyJ/B24mCRyyAEAxnTqPZO6868ESKZlxN4DUPwx2sGOdcWY6qTkrE+TNb\nErz4tc2tSTAQMpN6aJ7Biy2aekXENGCqScglYGnll7PSx8GJrYWs7A7BYYzBcfZwEfhOis5rHHjU\nBK9GjRo1cuA4TiUFzzQvI3/eFQWvYN5HqQu2Ia2N2mDEzid4UTiCZcUKXuB0Yflb6F7+S5x68pew\neuIteO7+n1EqjpjByyF4kUUytJrx3I02g6f34MEUshIRtsDtZiyaSYI3B8vfghUMFJFU/WIlbZry\nuQfO3BgFTxDN0G4bFbz0orYoBIRWUvBs0FCzaI4JWFH7r1j4nji+cKQUvNii6WUIHjEQPKtg/tEK\n+qLmg7OEGum1jqHRf9mYOGp7myBg2Rm8EkmueYjVNbFQHkX9kmtD8dmXKZos2offPAzKRnCGV6Ln\nPj5FMw5yyV+MM6shahIiO7O4vylkxaxamSzbhTN4zN8Fi2ackiv/FqzAQqy/L6v0hepF53khLjsF\nYwyuu3sF6jsGtYDGXB2yUsOImuDVqFGjRg6qErxciyYLdylkJb9gOlYXzHHczG7m1yRERM12xWNH\nAUfozsIKhzj1xP+JUesYzr3mxxNXjpnl5qon+rFkLZqyB8/82sn7MKuB0OkaFLyL4ITCax1F4MyC\ngEf3F/sZp1amIQlM0Jgbm6LJiYXA6WSLzgu6x/IsmmUSNOV2VE2CX8Wi2QANJgxZYZ6atVQWTc0G\nq7ZvVPByLJqcwQoHoGwEd3AZlr+tFLxB9wysoA/HoOLZsgOvkbZo7iBFU6rG0Wd02DkNd7iCXl+8\n1xaalrCkRuTFbx0BADR7ooOyTIqmXsWQB2Y1VHCOmlszzuDl9eCVncHTis7ZdAkeqCVsl8xTf4ti\nW2r8vhEWzSo9eEHuazEN7HkFDwBac7WCV8OImuDVqFGjRg5c150oZCVBUjiLwhV2j+CZrJG0wKIp\nbx9XdG5Fi5thFLICAO2ts7h4+9/JBHtw6ihlKQ1Ls7JlQ1Z8cGvcDN4QjDYQOJ2kgsc5Ole+hlH7\nBEDthF1RPm9mFXf+ZfYlCZ47D8vPV/BsfxuB000QLgnCTQpefghIpRk8kqxJqETwdqDgMbsFTqha\ntGctmukZvEjByyHJ+n3b608LVU4RPNGF19p6PvM4WXIe5Fo0J1PwpD0TiMvMna0LaNsEDZtESlFs\n0QSARu+C2Lf+OtBkUbq+D6CYSDGrpboNecaiGZ2HmAhrKZzBC3QFL+seiBW8QCO301sOios9vvpb\nFClsuvJLKlg0GXVAwKJKid0hOGEY7n2Ct3CDSOWsUSOFmuDVqFGjRg5s255wBi9J8PTfTRNFBdNj\nFbwCy54kX04UsiIVPAAYdG/A6qm3Go6lQMEL5LG0Mj14hPlgxC5M0ZQWzTCyiUrMLn8J3dVHcfnG\n7wYAdYzyeADdolmuKkEuSn13rrBeQShOnYhwZRU8lrHFFSh4fh+hU2EGj4nZKcvfrjCDt5OQFfH6\ncxLP/6Utmlyz6JJwBMcTRCxPwdPDVzprTwCAIqvD2RsBAK3Ns5nH2aN1AICfG7Iy2Qye/vkcdk6L\n4xqcx3yLqu3Kv6EfETyp4HGrTMhKObIjuw3VDF4qZIUUBJeYzgd5nYzyeatgkykSPE6dKGRFzuAV\nWTQjBU8S2NIWTfEcrGCwqyEre9qiCQDf++vAO/7ttT6KGnsQNcGrUaNGjRxUVvBMiXdTDjFI7K/Q\nohkpeIaaBKC4H06qNMRuwKZiBk8WUF+44+8a7aa8oAdPkU07W4pNox6rIgWPhLFFkzJfXPHnDCee\n+hWMWtdh5cxfA4CEmiX3I0vAi1IZE8caLUqDxny0LzNhEMXcXWUVS24j36JpUphoWMWiKfZn+T0Q\ncGVrHIcdKXjMA6MumOWovzHRgmzE9uMLBnpASl6Kpk78ZiKCJ59L6HTgNY/mKHiiPH2qCh4PE3+v\n0cxJcBDMDy9goSnelzSRoik6zBq9i2LfZQgeHz+DF1pNpeDF26TR84qssQVWT2PIimkGT11MCaPn\nPt1zkwxcKkdqxftGnSfLpmhGz4EGg10LWdkXCl5rHmh0rvVR1NiDqAlejRo1auSgcsiKXIyZCN6u\nzuAVWTTNBC+0W/n2OS39rmERjEKO/vwd+OrbP4qN674x51jye/CowaJJlEXTA7ecOEXTqOAJO2Dg\niIWM7W9hYelPMbPxLC7e/h5FnkwWzd7iXQicLhYuftZ4bGnI45LbylP+bH8LYQ7BKwxZSRMQzoWC\nV2EGjzJfWVWD0gRPU/A4R3v9mVKPAzQFjzqaRXOUVK7seJZKEjxOrNz3mN5NKJM0dYLen70Jrc0s\nwbO9dTBiI3SSi9qd1SQkSRC3GvBaR3E0uICFpiRY8Qwepw58dx4NwwweqA1OrIKahCKLZlOdL9SF\nGULAiaVuLyJN5hm8MF/BYz7Aph8AxZSC54v+xILtK+VXOh3KpmhKRTwcvHJDVmrUKEBN8GrUqFEj\nB7ZtgxuS/HIhF2Pagl/ZNXeV4Jl78Bixcwfwmd3Otc/Fi0gXDZtgFIjXIIiUCxM4dXNn8EwhKzT0\nAM5B5WxT0QxetLiWCo/lb+Ho2Y9h0DmTsIsmFbx4Mb52/M2Yf/nPStk04xk8QfDykjQtfxuhG1k0\n0zN4RgXPTEBIOAIBq9iD58OKrHzVZvDE+6S78gju/NwPoVWS5BGTRZOlFDyaJXjDmVO57zF5u99Y\nUK+JrkYOZm9Ec/tFIEWendGaSNBMlcLvrCYhq2INO6dxMryIRWXRjGfwAGHTVLOlKQuiyf5cRsGT\ndmKxDc3+aiB4pYvOU/ZT/RiURXPK56Y44TKytab+VsljlgrepBbN4Ss7ZKVGjRzU0Ts1atSokQPL\nskAKFicm6IsxYHcVPBAqrpYbCd4wV70DRLy/DInIPFZT8JpWiFE4nuSWmcELUzN4cbLgmBTNcITA\nXVAKntu/hJn1J/DyLe9OEGdmtUT9Aw8S6tLqybfhyIv/FXOXPo+1kw8VPg9Vk6AInpmg2J6waDp0\nNanKcRGCUVbBk9sv34Nng/BYwZvEoukMVwAAre0XMZi/rfBxDy+NcG8wwuOrwKsDC+dXB/jIY1u4\nJxjhsVWC//qYOI7v3qC4zxviI49t4VvXzuN6EDzLjuO60Yv4yGNbme2+qn8FtwN4lt6MV+FLAIDf\nOkuxbYn7vnb7OL6fB/jUV57Cy+4Z9bi/u7KCIZvNbJPwEPcBeGxpG58cZvcn0Qq30A3Xcdk9rW77\n3isD3B7QxDa/c3gM95HHsNCIFTxZkwCIoJX25tej1zYZZGTqHFQ1CWNSNE3/NhI8Yw9eyRTNdNH5\n1BU8cS6gzC+sSABi5beqRZNpCt5uzeBxzmHb9TK5xv5E/c6tUaNGjRxYllVNwUM0I5VI0dxFgodo\nMWkMWRnlJmgC0qI5RsGzXDTsEYbB+NdAWgdNsLQZPE7sKEZ9pKkR9pgUzRGY5SJ0BZmZf/nPQTjD\n5uFvSB04QejOgo5WE7OH24deDa95GIsX/mQ8wVMKnlDGjK8R57ACGbJiJYI95EI+E7KSU3Qut1+p\nJoEFsKLS+cCtbtGU5NCNOgSL8KsPr+O9CPC1KwSnKMWl0RD/ZXUL/2vDx6NXgI9fFgrnbRbFA9YI\nH3+qhzfYS7hM5/HkVhPHaB8ffyqrgoZ0HXCAT25dj1fZguD95rMEPsR9nyBH8f0u8NK5Z/C77LB6\n3N92VvF1dI3b/DcuxXMrfXz8Un766b+wP4yH6CN40PtFddub7BFOUJrYZocexpudIe7ubgHoJGoS\ngDhoBcjaoCcneDkKnnZOkZUc6RRb/fFZBa8gZMVQhL5TyHMBCc19fYljlspvxVll+RxEAf3uLWUt\nq+6Yq7E/URO8GjVq1MjBJF/uGYvmLoasAGKBlI5kB+K5qdzH2e1cyyLVbGBNzaJZeBxjevA4iFgg\nEyLumwphKJuiCQDzL38OjDbQW3hV5r6BOwdntJp87oRi9eRDOHb2d2B5GwgLkidpVJyset8MBI8G\nfRDOEDodMOrAirrLxPGbLXR5KZpVFTxObFAWqL608kXn0YUAzlQSaaN/Uf1+ZvUx9OduSxAHzjkG\nwwHgAt/z6kNYvNDC0RbFR+9bAH4feOerD+PBW0T4zvGnF9B4xsdH33kUt/7FFmh4HN8yfwiHz3v4\n6Hdclzmew+dc4FHgr77xPuAvP4bQauEj33NK/Z6wQ+C/Z+En7lzF37ozfvztf7yNrUO34qOvzW6T\n/J6Ld97s4g13ZX8nccfnXkJze5g4phsfdtBeb+CjD8W3dZfvAv4CuKdxCds4LhQ8neC1BMET7+uU\nWmsieGUsmnkEj1gAS83gGbbDqQMOkjgfmAic/lnbXYvm+BJy+VrFFs2SBI/E290tBQ+oCV6N/Yt6\nBq9GjRo1cjAxwbtaFk2IK/l5Fk0+xqJphYM4nlwDCb2oF4yqkJWxx0EdY9iLPBZmNdUsjgxWiImk\nG4es8HyCJy2ajreBrUOvNqoYUnlLk9v16x4E4SE6Vx4tfB4yTIPZUX+egeDpASecWolaDJqj1OTN\niNGqBC9aPE8SsgKIv60si2/0hILn9pdwx3/7B1i4+JnEY9RAObAAACAASURBVPoBV+oks1wwS8xZ\nymRR3X6nq0fu4DK81lGE8iKCQQW3QvG8+5FFNK1Ecupg2LkerS2tKoHzeAbPgCIVWdyBobl1LpFy\nC8iQleTnc9Q+AQBoRConjfoaJbzmkeh5N7LzgFOwaPKxM3iG7RCSTEtVHZxpBS9KBlUzeNO91s8s\n0YlJWVL1NN93whRN7fmbyO60QGm9TK6xP1G/c2vUqFEjB5N8uXNqJWsSdjFkBcjvN0v3lJkeJ+5n\nqFjQAiUaNill0RRzN75xMU+DYUadoOHIqOCB5Vk0G4nkxK3D9xmPQ9YipGd/AleQAqug2w6In7tU\n8EwETxKk0OlkSEW+gmcOWZEhLiza3ziomgRvUxxj2WJobT7LlgQvIi/tjWcBQHXXSawPGZqQf6OG\nCpRRoTk0OzNGwyHcwSV4raNgdgsE3Pwei9Rjv7EIr3nIqEQOZm9MJGnSoA/KfPipigQJSX7z4PaX\nYIVDQ+ppVuVSgT7R34eEXkKNkhZNkw2a0axtusyFnsRnRCdGCYIXz62atxGTy1xSSSyh9EV9itO3\naMZF52MtmpaoV4mPtVqKpvh3bdGsUSON2qJZo0aNGjnYDwqeUFVMNQlD4+JTQipGVpDtYCNaqXPD\nKmfR5NQBAY9mfpKLOivoIYwUMXHMDVDmqUCTwhk8zkViI20AxEJoz8AKetjMI3iR/dIUfAGYE0d1\nyEWpfH1MFk1LV/BSKZokp6dMzT2FeRbNFsqAUQcEDI63Xlq9A5KEXh6/M1wBCT1FoqiffK7rQ4Ym\niQJ3opoEGg4UedFfY691FABw+rFfBGU+vNYx9TelQV8povrzDq0mQCi2F+42LtL7s7dg8cKnYI/W\nEDQW4IwEAZVk3fTaFCl46nnyQFyIkMqbQcXSPx8AMmqUpwieeRbO9jcSt9Ec4p9+nOnfnMbnFMqL\nt8M1cll07hFzfeMtmr1eD/2+eVY3Dyd9hhmvD5/0QBnB8vJy7n07Q/F52VgWduGtrV7h/SXCze34\nGId+qcdUBWOsJng19i1qglejRo0aOZjoy50kLXu7HrJCzQXWNBzlWtmAONTDOGPGfJUY2LTLWTTl\nQtd01d721hPHwqgLEo6Si1WS7RCU2xPbl8XlIthkMHeL8TiURZOmgy/yFUsdNEpLNFk0LW8DCxf/\nVKUnmnrw4hmplIKn5p6SBCS2aJZV8MR27eFq6YAVIElwpQJJwOEOLqlC8XQlxPowRBOaRTOaN5QX\nFHTL4saxN2Hplv8ex7/+EQCC8MkOPCvoI0CyYoNqFxae/4YPAMim1W4dfg0AUeuwdvIh2BHBy1fw\n3EIFr63bPcEAxLbgDMGkFsL/v707j5Mlrer8/zmRa2331t1679t7Q3cDTdPNIjaCIAooihsiiKAy\n6IzbKLjLyAAqzrjvMoOCKIy4ACL+HHEUQWWXpUGg6ab79nq7b9219syMeH5/PBGZkVm5RGZlZlVl\nft+vV71u3cqIzMilsuLkOc85uTK56mpjnEdua5OVthm8XIlgo0MGr+scvAxdNMPuw8MzZfDwr0eL\nQv9e1eW9aX19nWuvvZa5uWyvT4D9S+eRP3GC4lwJCxe56aabOm47k/8M3APXX3UUPg1HL7+C8x7R\neftE4cEIPue/P+/CS5jrchuDMjPK5c4fkonsZgrwREQ6GGxMQr59Bm9UTVbaZAsgy5iEJIDZWrJo\nqY6BpYxNVhqDhytbMoKFzTP1NU2QrBtMN1kptp0hmNwPv4+/L+sLV/iT6w7zstb3XUW1dJCo0HwM\nmTN4Sec/CwhzzZ1Gz7/z7Vx4x9viYy5RmTmyNYPXsSzO2maYGl00s2XwkustbJ5u6uTYS7qEMl9d\nplo8QKFymtLag8yc+1J8LM0B3umNqBHgBaV6OWp6rmH6/j1w3csI87NcdPubWV+4IhU4bn2N5Wrr\njaxlhwBjbf811Arz7Fv6d05f/PT6erzK7Pkd7mPndaBA/X5CXJYZf4DTbg0e+KA7qK2mym4bAZ5v\nsFNq+zvWdQ1ehjl4rY1bmpqsdMgQN9/2RvO2bRuyJBm89ve9vp1zHDx4kMXFzh8WbTG3H06E5AOg\nMMf557d/vgC432d+D658HoD9F17J/m7bJ2qNbeb3HWA+yz4iU2TbAZ6ZrbT8aAb4XefcD7bZ9qXA\nG4H0u/3XOefet93jEBEZNjMjCAKiKMq8Hi9dTgVjKtHcaFei2WtMQucMnqXX4MVNVpxzXYPdZPt2\nGZT85mlWDtyQOuZ4DV7YXG7WGhwn9yPZB+DOJ/w80DngPH3xV3L64q/c8nPfYTDomcFLd/4L87NN\nAd6+E//OyoEbuPPxryHKlYnyM1syeJ2arPifbe00mqut4Qi6Plet9wOgsHmK9X1XZNoHmpug5KrL\nrC1ew/6HP8LM8l31eYi5NiWac5Zk8Eq4nF/jFoSNn7V66JoX8tBVz4cgT3H9IX+bbTuRrhPlegS1\nlmP50GNZOPFxcI6D9/8j6/OXsTl3advN263Bmzl3J+AD//R6PnNh/VXUqUwxip//5DlrypqZUZk5\njAsyBng9AjO/X7m+f7pxS9ZB543brsTb9srg9S7RNLP+KxnyRahtQrgJpR5Z5uSDmPf/Mhy5Dq7q\nPsakLl0amxtdF02RvWrbTVacc/PJF3ABPnj78y67fDC9j4I7EdnNCoUCUbS102QnW8YkjLzJSucS\nzV5jEqB9E5EgtQavnDccUNna+6RJYwxAS7DpQvKVs01lddGWLpr5+r9bMnhRSzBh1jF711W9w2D3\nDF6QKjH1oyT845OrnGP27O2cO+/x1EoH6hm3TiWa7U7A22Xwgtq6v66MmeKkY2C+ulxvKJNpv3QG\nr7LCxvxlREGR/Q99CItDndbXwpmNiIPFWn3/yOIAL2oOureIn89ur7FcbS1T59DlIzdTWn+IhZOf\nYOHUbZy6+BkdH6uoTQB99NO/zjUf+glylbOUVu+nFpfCto4yaRcEhYVZctW1+muwtWvr6oHr2wbZ\ng2bwwjjA29J50oLUHLxeAV45lcHrtgbPv0/1moM30LDvXMkHd7UK5Du/BwFQiIP8zXPwjFdlbhrU\nHOB179QpMo2GXaL5zcDDwAeGfL0iIjuiUCgQhmHmk5zxN1kp1dvWp22rRDO13qiU9yfTG6Grf9/+\nOJIMXvOx5CtnMVzzGrxcEdtoKdFk62OX3A+/TY8TxQw6dRxNs1QzjTA/W89qLSx9EsNtae6SlLo1\n9u+WwduaYQrCjfqJfRbpE/uwrzV4/jby1RWCaJNaYYHN2QuZP+XHRmzOXkiu1lyQc2Yj5LJiFSpx\nBq8+wDoO8Ho8J8lrrN28xVxtrd6opJtzh/3aqqOf/g0ATnUZVO+bwDQ/v8X1hyhsnuLobb+BEbG+\n/xoWTn5yy3PWLvAK8/PkaqupdW/NgcTdN/1U2+Pwv5ODj0lo/b1NVwUk19NpNECUK5GvnOl5my4o\n+Mcgwxy8wTJ4FR/k9Qq+4rJULnk8POI52W8jnbVTgCeyxbADvJcAf+xcmz7ZDTeZ2RJwCngL8IvO\nbR18ZGYvB14OcPTo0SEfpohINoVCgUql87qeVi7IN8/ZGvkcvK0t2eudJzNk8NqdfKezWKWcD+p+\n56Nn69+387jNKq8E3vrJU9yVb2TrLq3dy43AO46V+PBxf+L5/csBV1XXeffnzvCjwB9/ZoNj+TP8\nbi3g08fX+MOVM/X9r6qe5LXAX36xyiePnWE7fr1W4AvHz/F7q52v5zXnNli1Of752DrXFBolmvuW\nPk6Ym2F18ZFN2yelbklXRnPtm6xA3AGzdQ1euFFfe5VF+mR9kAxeYWMJ8MHh5uyFzKwcIwpKrO2/\npqmEEXwG70C+BpWki6a/r61ls51vM/4Qoc1oiiBcz7TucHPuUirlI5RX72XlwPVU5i7quK0LClg1\nFaS6kMLmKRzGwQfeB8Da/qvjAC/9IUytbRYrzM9S2DzZyCL3mOlWv9lcyXfqjMJ6RqqfQedbArxU\n46Z6hrhDWWJTk5Vua/DiSoMsg85HmsE7eAWUF+GZr82cxfa3oRJNkW6GFuCZ2WXAU4Hv6bLZ+4FH\nAceAG4A/A2rAL7Zu6Jx7A/AGgFtuuaX3Cn8RkREoFApsbHRft5XWMYM3qiYrQfv1Puai7mvw6iff\n7dfgJeVz1xwscMVinuMrWweQp50f+ZOzpeV1jgWNIOZI5AOK29fmOLbhf36qludqV+HMmn9cj63A\nMatScQHrm1WOpUYJHIz88d2zmuPYepch1hmsRkVqlQ2One18Pa5W4aTbx9s/u8J3H56lsOnbty8s\nfYLlwzfWyw8TUTweAhfFHVS7Z022lmh2D8TbXUdikAxeMQ7waoV5KnMXArC+cBm1wvyWtXKnNyIW\n9zeyV0mAmjXA6zpqImOJJmacO/I4Dt/7f315ZhetJbCFzdOYizhx2XM5cuzdREGRjXn/gfGWMup2\nTVZaSzR7zHRLHwfEgSONRi7+OgYL8Ggt0WzzAUKyb6OLZuf3Hp95DuPy1PaBa7L2uO95oPmy/32o\nrvbOrh28En7i7v6CO1CJpkgPw8zgvRj4F+fcXZ02cM6lexTfZmavAX6MNgGeiMhuUCwW+1qDR4c1\neKMs0Qyiqj8BTOaOZTgBj7qUzwVhpT5r7Oj+Ar/8zN6ldPMnj8C/wSueMMvy4SP1nx+8z8En4D8/\n5Qo2F/zPL71tHwfvr/IDF92FuyfHjz/9SsLSfvb/Q5EnHyrwmzc19t/3UBk+At//ZeezduDIltvt\nx3kfmONg0fGbT+x8PZf8k2PNzXD8ZMjyZUdZfOhfueSzv0d59T5OXP4NW7avz7eLT+a7rZHyJZrN\n2eBe8wpbpRt99DcHryWDF5dogh8onswXTITOcW4jYv/BxpgKl6ydjF9frlcGr82oiYRfe5ghwANO\nX/SV7Dvx75y+6Gldt2stgU3u69nznhD//1QjC9fyIUzbNXhJF82wMSoii/RIjOQx6mfQedsM3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n0DyLsbi+tGX9HbQZa+E6lzECqeC2n9dE82xE/33nTFnP67N8as1gtWuwGeVmcBaQq650X4Nn\neYJos+PlYRhSKBT6+v2vy427yYoCPJFWCvBERIapNWjaXGkEfaNg5rN11ZYxCVkCvNZgFFIlmsW+\n1+Btzl1IoXKWIM4CFTZPZy7PBJrWGtV/NKImK21vPmpuspJF61y1IKp2zAa1DoMPav2PSdiOxhy8\n9q/HMD9XH3QOYHGjjiTIaSrRzHhSHeYaAd7Spc+iWjwQ39boM3it5ZnQpclKh+csCW4HK9EcUgYv\n+b1wzs/B63YsZtQKC+Sry93X4KWD9XYNZsKQYnHAwGnsGTyVaIq0UoAnIjJM6cYlMPoMHvhOda2D\nzvvJ4KXHOtRLNMt9l2dtzl4IQGntePzvg1Rmzsu8f3qtUWJUYxLaSTJrro8TxoEyeFGSwUsCvHFl\n8JI5eB0yeIU5cqnXURLsNTJ46QAv2zEnJZprC1dSKx9k9cAj/P4jCPDqsxjDTcor97A5d9HWbZIM\nXlKi2SXLBY1AtL+gP2my0jJMfRtjErwozuB1f32Ghfk4g1fDEbRd65i+v21nAEbR4AFeUxfNUWbw\nin6t8ajWN4vsYQrwRESGacsavJXRrsEDH8ylB53XNrZRopmMSSj2XaJZmfUn1KW1ByAKKa8cY33f\nlZn3bzsHLzWHbbt6ZfAGKdFsBG3pAK9TBq+5u2K9RHNsAZ6/nU5D0n2JZiPYT9bjtStTzLomLSnF\nXD7yOABWF6+Lb2v4JZrJMc2evYNcuF6/rbSkmUq9aUm9RLNDgBevZd1uBi/YRgYPaxxzrzV4kArw\nugwxb/oQok2AV6vVthHg5RvXOdIMXkHlmSIdKMATERmmthm8zl3vhqIwM2CTlW4lmv2PSUgyeMW1\n45RX7yOIqqwvXJF5//ZdNMeXwWuUaA7QZCUeau2brLTf33XM4I2nRHP58I2cuugrqcxd2PbyMBlK\nHmvN4DWXaGY75srsBZy+8CtYuvTZAKwtPrJ+W8OWPL7zp24DYDW+rSb1DF5Sotm9yUq77GUvrUF/\n8v3gTVYaox2yZPDqJZpdsoa9MnhhGFIqbeN1mZRpkXmFwAAAIABJREFUjrqLpsozRdpSF00RkWEq\ntgvwRpzBy5dbArw1mDvSe792GbxtlGiGxQVqhXlKaw8ws3wXQP8ZvJGWaGbN4A2SrWms6ep0It+5\nRHM8Ad7m/FHuuvlVHS+PCn4kQDL4Plf1r4uk6+YgJZouKDR1/VxdHGGJZnx8c6f/g1p+js35S9ps\n09r1NGz6eatGcNtHpqilDDT5frslmhbVCFyt+xo8fAluae14j2xyag3esEs0wQdf1bUxBHjK4Im0\nowBPRGSYCrOA+aDJufGswSvMtHTRzNhkpTgHWPOYhHoXzWLfc/AAKjMXUFp7kLAwj7OAjfmjmff1\n3QJTJ8VhBXPhEOfgxU1OOmbwBhiT0FKOF0RVah0GUW9pslIfoL07immSYCZXWyMsLrRZg5cedD7Y\niXVY3Mfxq57P8uGbt3m0WyVBWC7c4Nzhm7uuPWttstKuTBEgKvS/Bg8zoqDQ0mSlc7lkL8l+9Q8E\nMq3BW447d3bK4KWbrIwwgzfKDy+u+3pYzP7+IjJNFOCJiAxTEPjAqbLi18K5cDxr8CqtTVYyZEjM\n/LG1y+DlSphZvUwz61q8zbmLmDl3F87ybMxd2jPbkJbuFogZQRy0hlnuSxaWIwoKXcYk+MBroAye\nGySDt0k4phEJWSRlk7naqg/wWtbgYUF9neR2Rlfcf/33bftY20kH5m3LM8HfB4JUk5Uea/DqXTT7\nKwX0YwiGm8FLfh96BZvpLpqd1+B1z+A55ygUtlH+mIs/uMiN8DTzEc/yXyKyhQI8EZFhK877zN1m\nvLZt5F00Z2D1ZOP/WTN44MtH263Biz+Bz+fzhGFIPp/tz8Xm7IXsf+iDWFRh9cDWJhfd1E80XQSW\nq2eQhlnOF+XKvQed93MybzkcVt/XDzHvPui83mSltjG28swsGhk8/7jnaytNPwcfpObCcFcddyKd\n2Vo90CHAI/VBAlnW4PnXXiU0lpeX227T9lgsT3VzrbFPWKVSc31dR2J+0weKm+eWAFivhF2vZy0q\nYC7CrZ8mJGi77exmI/hc36xu2aZWqw025DyRL442eyciXSnAExEZttK8z+DVA7xRN1kpt5Robvig\nL4vWDF64NcDrt9FKEFUprT/E0tHnZN4PmsvnHDlySQZvqAFeqfeYhD5KNP32+aaMUD9NVsbVQTOL\nJFMaxKMSctVVHNY0lNwFRUhKS3eZdGDeMYNH81rPrGvwKJQ5ciTDutZEvshsKV/fJyCkPLfQ33XE\n5lf2A3Bwn38e5hYPdb2e8rJvojPr1gjypbbbzm805lMu7D+Aa9nmvPPOY25urnW37HKl0Y5IEJGu\nFOCJiAxbEjTVA7xRl2imBp07l30OHjSC0UQtHpOQawR4URRlPpSkkyb012AF0uWONRzF1Bqw8WTw\nksCr31I6Z/nUmITOGbx2JZq7KsBryeDlaqu+PDO1li25b7sxg4flcBZQLR2mVj7UcbPWgBy6zMGL\ny1PnFw9zwQ03ZD+Wv5/l4L55Dib7vCPi0JHzOdTPdSRqt8HH4IqLfBB28dErubjb9dgd8HGYc6sw\nM8cN7ba1O+FD/ttLj14O1w9wXN0ogyeyo3bHym4RkUlSWmjJ4I1x0HlY9ev+sgZ4W9bgbUCQ92sJ\n6T+DV0kNl+5nRALQNO8LqLfsT5cIble3DF6QtKDvc3CyCwr1AC+IavVB11u3S5qs+AAvF+7uEs1c\ndXXLY58EqbvpuNOioNi1PBPiAD5qbrLSq0SzUOrzQ4ZcoTFTEvzv5aAt/ZMPDCrxjMJenSnLi/7f\n1SU/CLzT8bVe/zDly/5LRHaEAjwRkWFLgqYkMzbOQedJoJe1MUlpH2yea/y/shJ31/SSNXhZVWbO\nw2GEuTKV2Qsy7wfNGTzw3RyBphLB7epaohn1HiLdjgtymQad1zN4YbpEc/gDvweVdIzMpUo06w1W\nYm6XB3gPXvMdPHzFN3XdxjeKaR2T0KGLZhzg5ct9/g7nio0AL4r8hy59lv7WJceWBHi9HvuZOMDb\nPNu5yUkw4gAvV1SJpsgOUommiMiwjX0NXjzo3LnGPLysGbyZRXjgTOP/62caGQCgUCj0lcFzQYHK\nzBGqpUN9t/9vbWGfG0kGr3uTlV4t6NtxVmgEDFG14xq+LSMVwg2icv9rskalbYlmvkOAtwvX4AE8\ndM0Le26TbrJCjyYrm+azULlSn4F4ruCzdgDJuITtZvCSD2+yZvAgYwZvG81UOsmXVKIpsoMU4ImI\nDFuxNcAbw6BznO+A2W8Gr7wIG6kAb+NMIwNA/2vwAB689iXUiv0HtemBzpAu0Rxuk5V85Vzby4aS\nwXM1oo7DpVvn4G0S7aIytihXJgqK5DdPA5CrrlCZOdy8zS7P4GXS1GSl+5iEtTDPA494KRdd9/X9\n3UY6gxcOKcBLKgJ6vWZSv78dbzP980GPq5vHvwzWTw//ekUkEwV4IiLDVmptsjKGQefgO2nWM3gZ\nA4eZRR8U1iq+pKolg5fL5foO8E4efXZf2yfqpY0tGbzhlmjGGTznuPyTr2fp0mexcvgmIM7gDXCy\nGwVxBs85gi4ZvK1NVnZXF03MqJQPU9zw7fh9Bu/ypk2S56if+Ya7jbNUk5Uea/A2NjfZfNJ/hSN9\nridtKtGMA7yBSzSTAC/J4PV47IsLPnvuos7ll6Mu0bz2a4Z/nSKSmdbgiYgMW3HeB1sbZ/yJ1rAG\ndXeSBHjVjcZavH4yeAAbZxv/zjSXaPYb4A3KtTRZydXWCHMzfZd6dpOswStsnuTQfe9l34mP1y+z\nsHNw1o3volmtB6Ydu3C2zMzbbXPwAKrlwxSSAK/tGrxi3Ihm754++Ixr3MinnsHrsG4yilhYGOAD\nmnSJZlhr/GwQrWvwemXwggDK++Pb7BAMptfmjSLAE5EdtXffoUVEdqukqcryQ/Gn6f11ZexbkuGq\nrqVKNPtYgweNMs2NrWvwxhfgNTdZCWprQy3PhEaAV1q5F2hkCcFn1gZagxfksShsDErvdMJsFnfc\nrPps3y4bkwBQnYkzeM61XYMXBfldd8z9asrgxVm2bs/7zMwAGeSmEs3430EDqfoavKTJSobsafI7\n3LFEM3Udo1iDJyI7SgGeiMiwJWvulh8Y/fo7aHxav3G2/yYryYng+pnGvzPNJZr9NFnZjmQdVLrJ\nSjT0AM+XaJZX7gMgCBsD4ruVV3bjgjxBVG2U+3W5jigO8CyqYkS7LliqxBk8CzcxF7btohnt4fJM\naG6yUp992GbtpXMOM9t+gFdvsjLg47ZlTEKG10zyO7xTJZoisqMU4ImIDFs9g3d89OvvAObiRhhr\nJ/tvspLO4FXXIdzcsgZvXFqbrORGlcGLKpRXjsW30QjwBm6yYnnMhalgofMJswuKBFG13skz3GUB\nXrV8mCCqUlp/ENjawTQKirsuKO2XSzVZSRretHvONjc3mZ+fJwgGOFUaaolmn3PwIFWi2SmDpxJN\nkUmm32oRkWFLgrpzD8Lha0Z/e7OH/L+rS0CcbRskg5dk8VIZvIFObge0ZUxCdY1wyOsXk+Bk9tyd\nAAS1dAavQq0wQPfPoEAQbpCr+i6H3cY6+BLNSn0W325bg1cp+w8Lyss+AK7lZjl+/Dj5vD9dqB18\nBqWFm1laWtqxY9yuK2oOwnWWlpY4sHKOyPIsnTy1Zbsoirj88ssHu5G2TVYGLdFsXYOXJcBLMngd\nArymDN4IumiKyI5SgCciMmxJBm/z7HgyeEmAt7bUCOwGyeAl6/DKzQGejXoNYawxJy7OroRr1IoX\nDvU2koBq5uwdQGsGb9ASzRxWq1Go+MevWtzf5fYLcQbP3+5uGpMAPoMHMBMHeJtWYv/+/dx0003x\nFrcCMIaPLUamfP8hCDe59dZbKVb+AVsqc+utt7bdtlQaMADPFVMZvGGNScg46Bwav9edBp2Peg6e\niOwoBXgiIsOWXnc3rjV4QcFn8ObiwdlZA4cMGbxxrcGjXQZv32gyePl4mHfTGrzaBuEAIxmcFbCo\nRr7iO5HWSoudtw0KWFhNZfB2Z4CXlLBWgxnK5TJzc8MbNr/jCiUI1/19CiLIl4Z//3KFNnPwhrEG\nz7IFir0yeE1NVnQqKDJptAZPRGTYiukAr/+Sv76Z+Sze2lL/TVbyRZ/ta8rgNTJQY12DFzR30RzV\nGrz695Zv6qKZq60O1NQlGXReD/CKnQO8pMlKEI+z2H0Bns8GJxm8SjAzeBZrt8oVIF7nSW0zW0as\n79sYZolmKsDLl7J15Z3p0UUz0Bo8kUmmAE9EZNjSAV5xDBk88I1W1k75JitBob9ysPJicwZvp0o0\n0xk850Y2JiGxvu+KeqAFcUBZ6D+Tkww6z2/6x6/WpUTTBYWmJiu7bQ2eCwpUiwfqYyQ2rUSxuLe7\nZm4R5BuNT8JK78HhgxhFiWZ1Ndv6O8iQwVMXTZFJpgBPRGTYmko0x7AGD3wGbzXO4PXbmGRmsTmD\nN3OgftE4SzTrc/DiMQKBqxF1aVgyiCjXyGyu7b+2XqJpYYUgqnZtkNJJMug8XzlDmJ/FdSnFi4Ii\nQbixa0s0wWfxkgHgm5QmL4MX5MeQwSu0yeANYdB51mPttQZPYxJEJpoCPBGRYSvMgsVvr+NYgwdx\nBm/JZ/Cylmcmyot+ht76zpZo1oq+nDVfOVcvnRxkTVw3ScasWjpAtXyYXLgBLkzd3iAlmn7Qeb5y\ntmv2DmBj4TJmzt1JvrYSH8/uC/AqM34dnsOoWnFCA7w46KptjjCDVwHnhjAmId4vrPS/trZjF83U\n73WnIFBE9iwFeCIiw2bWKM0cawbvZJzB6zMomolLNDfO+DWDqZO/cY5JqJYO4ggobCwRxE1QBsmo\ndZMEVBtzl9SDuaC2QW4bt5cMOi9snukZ4C0ffhy5cIOFpU/Ex7P7gqdq2TfqCfP+g4pkRMLEyBVS\nJZojzOCBzxQmmbztrsGD7MForzV4Zo1GK8rgiUwcBXgiIqNQD/DG0GQFYPawH8uwea7/Es3yfh/c\nrZ9pWn8H412DR5CjWjpAcWOpPr4gGlEGb2P+0vp158J1gmoc4A2wBi8ZdJ6vnKXapcEKwPKhx+II\n2P/Qh/3xDPn+DUMyCy95LCYuwAtyqRLNPrJi/UiCp7ACyTrP4oAfVjQFeP1m8Lo8d0l2TwGeyMRR\ngCciMgpJaebYmqzEs/DO3geFPk9Yy6kM3kxzBirJ4I1rHV61fJjC+oltZdS6SbJ2G/NHCeP1eEFt\nbQglmlVfolnqnsELiwusLV5LvnoO2K0ZvDjAy/vX7uQFeIVGiWY4whJN8AFexZfj9v3BS6KpnDLj\nsc4e9P92CwiT0kwFeCITZygBnpm9z8w2zGwl/vpCh+3MzH7JzE7GX79kY/toWERkjMZeoulPyjlz\n72BNVirLvklLeWsGKp/PE0XREA6yt2r5MMWNJYI4gzfsNXi18kG+dNPPcPLoc+pDxnOpEs1Bmrr4\nAK9GvnKm64iExLnDj/P7WW6gweqjVm3J4I1zHeZYjGVMQrJurtoYUD7WDN5+eP5b4MYXdLne+BhN\nn/WLTJph/lb/gHNuPv56RIdtXg48D7gReAzwXOB7h3gMIiK7Q5LBG2eTFfBlmoM0WQE4c0/TkPNE\nPp8fWwavMnOYwsbSyDJ4AKcveQZhYT61Bm+9kcEbtESTiCCq9lyDB7B8xAd4u7HBCqRKNPOTWqI5\npjEJyfUPNcDr41iv//rG+0I7uYK/bn3OLjJxxv2xzUuAX3HO3eecux/4FeClYz4GEZHRK8aZu3Gu\nwUsM0mQFYPXhXZHBy1eXKcQz5aJBy9oySNa/BeE6uWQN3kAlmo0sXJYAb+XAo4iC4q4sz4TmDJ6Z\nTWaAl+6iOapB59AI8HKl7c/Bg+GuF0wCPBGZOMMM8H7RzJbM7F/N7GkdtrkB+FTq/5+KfyYiMlmS\nT+vHtQZv9lDj+76brKSCujYZvFwuN7YAL8kelVfuAQYLuLJKZuLlmtbgDVKi2ShhrJV6l2i6XJGV\ng48eSXZyGJLsZq2wQBAEY+2kOhbpOXgjy+C1lGgWt/E6HmQNXqbrLQw+m09EdrVhfXTzE8B/ABXg\nBcC7zeyxzrk7W7abB86m/n8WmDczcy31P2b2cnxJJ0ePHh3SYYqIjElp3GvwDgIGuMEzeNA0Ay9R\nLBZZXV3d1uFlVU0FeA4baRljukQzqK0SWX6gNXGRNfbp1UUzcc+jf7jeaGXXMeOOJ/w8q4XDFIMR\nBD87LVmD55zvcDmODN52PugxA8uBC0eQwZuw9ZUiAgwpg+ec+7Bzbtk5t+mcezPwr8Bz2my6AqTr\nlfYBK63BXXydb3DO3eKcu+XIkSPDOEwRkfGZOehPxvoNtgYV5GDmgP++38Yk6QxemxLNcWbw0gFe\nlJ8ZaQOI9JiEXG3Nr78bYD1SUwYvQ4kmwOb8JaweuL7v2xqXlUM3sl48NHlDzqGRtYrCeEzCCAO8\nWtxFc9D1d4mklHKY2cZAJZoik2pUfzkd/qPkVp/FN1hJ3Bj/TERksjzx++DF7xhvA4OkocJ2MnhJ\nkJgyzjV4SYlmYfP0SMszgdSYBL8GLxrw9prW4GUo0dwrwjCc0AAvDsijajwmYZRdNJMM3rACvGFm\n8PIK8EQm1LZ/s81sEXgi8M9ADfg24CuAH26z+R8DP2pmf4sPAl8B/NZ2j0FEZNeZP+K/xmn2MHD7\n4F00W7+P5fN5VlZWCMNwe8eXUS1XJh9uULUSp0+fHulthUGR6sppiutnqFi5fntBELB/f7ZsnDP/\npzQKCvV1fZMgDEPK5d3Z6XNb0sFXWBl9iWZ1bfAZeIkkEBvmseaKCvBEJtQwfrMLwOuARwIh8Hng\nec65283sKcD/55xLis//ALgSuC3+//+OfyYiItuVDDvv92SyUPaZgdpG2yYrF1xwwVhnoUWfvgDO\n3U1udpHLL798tDf20VkW5wqUqg7yB+u3d+zYMarVKoVC7zV5Lj5JrhUXJ6rlfBiGFIsTuAYvCWqq\nftbiaMckVH2J5r5Ltnd9SdZxmNnGQGvwRCbVtgM859wJ4PEdLvsAvrFK8n8H/Hj8JSIiwzQ7YIkm\n+MzdyvG2Gbz9+/dnzmYNxaHL4NzdlPcd5uqrrx7tbc3sY7Gcg6AK+y6u397q6ipnzpzpM8Ab42M0\nBpNbohmf+iTz6UY66HzYJZrDzODlBx/dICK72oT1PhYRmWKzA2bwoJG5a5PBG7t9F/l/x9GBtDjv\nMyyb55pu7+DBg2xsbGS6iqREc9ICPOdcpgB3z2kN8EbZZGU3B3hqsiIysRTgiYhMikGbrEAjc9dm\nTMLYLVzo/x3HkPjivD8B31xuCvDm5+dp0+C5raTJSnWCGqwAkznkHBpZq3oGb9Qlmmvbn4c5ijV4\n5f3jG+MiImM1ge/cIiJTajslmjOL/iR0N5Rs1TN4YxgSX5yLM3jLUG4ElLOz2bOgyZiESczgTWSA\nF7QEeCPtorkZj0nYbpOVEazB++rXNtYhishEmcB3bhGRKbU/buQwe7D/fRcu8F+7QT2DN44SzTk4\nc48vpUvdXqlUolgsUqvVegY5yaDzWsYh53vJZAZ4cbBUWfH/jjKDt3EOcLtzTELyQYqITJwJfOcW\nEZlSR58E3/MPcNHj+t/36a+CjbPDP6ZB7IsDvO2WtWVRWoDlB+Pvm0tCFxcXWV5eZn6++3HUm6xM\nWIkmMNbuqWOTZNeqa/7fYQZN9duIM23r8ZiPYZVojiLbKCITR2vwREQmhRlc+vjBWvXPHYZDVw3/\nmAaxeBlYDubPH/1tFecaJ/otGcOsjVbCgt+vMnPe0A9vp01mBq+1ycooMnhxELlxxv+7G5usiMjE\nmsB3bhER2dPmDsP3fQAOXTP620qfeLdk8BYWFoiiqOdVbM5fwn98xR+wvm/EIx3GyDmHmU1mBq91\nDd4oB50nGbxtDzqPn4dRHKuITBwFeCIisvucf8N4bqeYytq1ZPD6abSyvn8MwegYJUPObYIGt9fl\nxjEmIQ4iVaIpIjtAAZ6IiEyvpgxec4BXLpcpFoucOHFiMgOdLqIoGu9w+3HaMuh8BCWaQc6XGdcD\nPJVoisj4KMATEZHp1SXAMzMe//jHU6lUxnxQu0OpNKHBRL1EM+6iOaqgKVeEda3BE5HxU4AnIiLT\nK33i3WbI+759Yxi2LuM1jgxecr1Dy+BpDZ6IZKcumiIiMr1KndfgyYRK1uDVxySMKoNXGF4XzWRN\nnzJ4IpKBAjwREZleyYl3rqiT52nRWqI5qqxYrggu7sKqEk0RGSMFeCIiMr2SE++SSjGnRr1EcwwZ\nvMS2xyQkAd4IhrKLyMRRgCciItMrGZOg8szpkWuZgzfKJisA+ZnGGrpB1dfgjWi9oIhMFAV4IiIy\nveoZPAV4UyMJlsbRZAW2X54JyuCJSF8U4ImIyPRSieb0Sa/ByxVhVDMOk0zhMAO8dNmniEgHCvBE\nRGR6JSffZQV4UyM9JmGUYwfqGbz57V9XkPfZu1EFoyIyURTgiYjI9ApyvgGGSjSnR5IFCzchP8I1\nbUMt0cxpBp6IZKYAT0REptuBK+DglTt9FDIuSQYPRpzBS0o0t9lBE2DfxbB46favR0SmQr73JiIi\nIhPsP/2/xrosmXzpAG8sGbwhlGg+5ZXw5f91+9cjIlNBAZ6IiEy3wsxOH4GMU7pRySi7Ug6zyUou\n779ERDJQiaaIiIhMj6YSzT2yBk9EpA8K8ERERGR6mIHFs/BGNeQcGgFeYQhr8ERE+qAAT0RERKZL\nUj45liYrQ1iDJyLSBwV4IiIiMl2SMs29MiZBRKQPCvBERERkuiQB3lgGnSvAE5HxUoAnIiIi02Us\nGbwhdtEUEemDAjwRERGZLmNZg6cMnojsDAV4IiIiMl3qGTwFeCIyeRTgiYiIyHQZS4CnLpoisjMU\n4ImIiMh0GWeJpubgiciYKcATERGR6aIxCSIywRTgiYiIyHQZx5iE82+AI9fB/Pmjuw0RkTbyO30A\nIiIiImM1jgze5V8O3/+h0V2/iEgHyuCJiIjIdBnHGjwRkR2iAE9ERESmSxAHeKPsoikiskMU4ImI\niMh0CXL+XwV4IjKBFOCJiIjIdFGJpohMMAV4IiIiMl3G0WRFRGSHbDvAM7OSmb3RzI6Z2bKZfdLM\nnt1h25eaWWhmK6mvp233GEREREQyG8eYBBGRHTKMMQl54F7gqcA9wHOAt5vZo51zd7fZ/oPOuVuH\ncLsiIiIi/VMGT0Qm2LYDPOfcKvDq1I/+xszuAm4G7t7u9YuIiIgMldbgicgEG/oaPDM7H7gW+GyH\nTW4ysyUzu93MXmVmbYNMM3u5mX3MzD524sSJYR+miIiITCuNSRCRCTbUAM/MCsCfAm92zn2+zSbv\nBx4FnAd8M/DtwI+1uy7n3Bucc7c45245cuTIMA9TREREplkyJiGnEk0RmTxDC/DMLADeAlSAH2i3\njXPuS865u5xzkXPuNuA1wLcM6xhEREREekpKNPPlnT0OEZERGEaTFczMgDcC5wPPcc5VM+7qABvG\nMYiIiIhkoiYrIjLBhpXB+z3gOuC5zrn1ThuZ2bPjNXqY2SOBVwHvGtIxiIiIiPQWqMmKiEyuYczB\nuwz4XuCxwPHUfLsXmdnR+Puj8ebPAD5tZqvA3wJ/BfzCdo9BREREJLNcksFTgCcik2cYYxKO0b3M\ncj617SuBV273NkVEREQGVh90rhJNEZk8Qx+TICIiIrKraUyCiEywoTRZEREREdkzrnkmrJ9SBk9E\nJpICPBEREZkul9ziv0REJpBKNEVERERERCaEAjwREREREZEJoQBPRERERERkQijAExERERERmRAK\n8ERERERERCaEAjwREREREZEJoQBPRERERERkQijAExERERERmRAK8ERERERERCaEAjwREREREZEJ\noQBPRERERERkQijAExERERERmRAK8ERERERERCaEAjwREREREZEJoQBPRERERERkQijAExERERER\nmRAK8ERERERERCaEAjwREREREZEJYc65nT6GnszsBHCsyyb7gbMDXv129j0MLI35Nndi32779XoM\ndtvxDrrvbryf29l3kP2Sx2CvHO8w9+33d33SHqNu9383Hu8w953m130i6+t/txzvKPZrfQx2+/EO\na99Bz3O2c5vb2Xcn/v5v53Z3+2M0ra/79L676e//YWDOOXek5zU55/b8F/CGHdr3Y3vseAfat9t+\nvR6D3Xa8g+67G+/nuB+j5DHYK8c7zH37/V2ftMeo2/3fjcc7zH2n+XWf5fnfjcc7iv1aH4PdfrxD\nvM2BznMm6THK8hjspuMd5n7T+rpP77ub/v73cyyTUqL57h3adyducyf21fHuztvczr463tHuOy23\nuZ19dby78za3s6+Od7T76lxnd97mdvadltvczr463gHsiRLN3crMPuacu2Wnj2MnTctjMC33s5tp\nfgym+b7DdN//ab7vCT0G0/sYTOv9Tpvmx2Ca73tiNz0G/RzLpGTwdsobdvoAdoFpeQym5X52M82P\nwTTfd5ju+z/N9z2hx2B6H4Npvd9p0/wYTPN9T+ymxyDzsSiDJyIiIiIiMiGUwRMREREREZkQCvBE\nREREREQmhAI8GRoze5+ZvWynj0NEZFTM7E1m9rqdPg4REZFOFOB1Mc0Bi5ndbWbrZraS+rpop49r\n2OL7WTGzwy0//4SZOTO7fGeObGfEr/nTZlba6WMZJT3vzab5vS4xrY/BtPzOd2Jmt5rZv5nZWTM7\nZWb/amaP3+njGicze6mZ3WZma2Z23Mx+z8wWM+znzOzqcRzjKMR/Bx42s7nUz15mZu/bwcMai9Q5\n3rKZnYl/B77PzKYuLpjU9/6peyKlL891zs2nvh7Y6QMakbuAb0/+Y2aPBmYHuSIzyw/roMYtDmqe\nAjjg6we8jr10/4f2vIvsRcP4nd/LzGwf8DfAbwEHgYuB/w5s7uRxjZOZvQL4JeDHgP3Ak4DLgPea\nWXEnj21McsAP7/RB7JDnOucW8M/364GfAN60iZU6AAAO5ElEQVS4s4ckw6IALwMzO2Bmf2NmJ+JP\nOv/GzC5JXf4+M3tt/Mnfspn9fWtmYFKY2ZPiT3rOmNmnzOxpLZtcZWYfMbNzZvYuMzu4E8fZp7cA\n35n6/0uAP07+Y2ZfG2d2zpnZvWb26tRll8efYn6Pmd0D/OPYjnr4vhP4EPAm/GMA1EvSft/M3hu/\nvv/ZzC5LXe7M7PvN7IvAF8d+1IPbzvP+HjP7wfSVmdmnzewbR33QoxR/kv8vLT+rf0ofvxZ+J77/\ny2b2YTO7ameOdjR6PQYTptPvfNMn2q2PiZl9tZl9Ic56/W78nrAXPwG/FsA59zbnXOicW3fO/b1z\n7tMAZvbdZva5+O/+/23zvvdDZvYlM1sys/+517IfcYD734EfdM79nXOu6py7G3g+cDnwHWaWM7Of\nNrM749/5j5vZpWb2/vhqPmW+wufbduZebNv/BF7ZLmNpZk82s4/Gr/OPmtmT459/m5l9rGXbHzGz\nvx7TMQ+Vc+6sc+6vgW8DXmJmjzKzkpn9spndY2YPxecAM8k+ZvYNZvbJ+O/jnWb2rJ27B8Mxaef6\ne+rNaAcFwB/hP+U4CqwDv92yzQuB7wLOA4rAK8d5gONgZhcD7wFeh/+085XAX5rZkdRm3wl8N3Ah\nUAN+c9zHOYAPAfvM7DozywEvAP4kdfkq/n4tAl8L/Gcze17LdTwVuA74mjEc76h8J/Cn8dfXmNn5\nqcteBLwWOAx8Mt4m7XnAE4Hrx3Ccw7Kd5/3NwHckG5rZjfhP/98zjgPfYS/AnxQeAO4Afn5nD0e2\nodvvfFvxCc1fAD8FHAK+ADx5lAc5QrcDoZm92cyebWYHkgvM7BuAnwa+CTgCfAB4W8v+3wjcAjwO\n+Ab837695MlAGfir9A+dcyvA3wLPBH4UX+nwHGAf/j6uOee+It78xrjC58/GdtTD9THgfbScs8Uf\nTr8Hfw5zCPhV4D1mdgh4N/AIM7smtcsLgbeO44BHxTn3EeA+fFb/9fgPQB4LXI3/+/bfAMzsCfgP\nQ38M//fxK4C7x3/EQzdR5/oK8DJwzp10zv2lc27NObeMP6F5astmf+Scu905tw68Hf9Lsde903ym\n7oyZvRN/Qvu3zrm/dc5Fzrn34t8cn5Pa5y3Ouc8451aBVwHPj0+ed7skm/NM4HPA/ckFzrn3Oedu\ni+/zp/F/5Fuf/1c751bj53/PMbNb8W9qb3fOfRy4E/9GlniPc+79zrlN4GeALzOzS1OX/6Jz7tQe\nvP+DPu9/DVyb+gP/YuDPnHOV8R36jnmHc+4jzrkaPjCYhPe6qZPhd76T5wCfdc79Vfwa+E3g+OiO\ndHScc+eAW/Elqv8LOGFmfx0Hut+Hf1/7XHw/fwF4bDqLB/xS/L53D/DrpEq+94jDwFJ8/1o9GF/+\nMuBnnXNfcN6nnHMnx3qUo/ffgB9s+bD6a4EvOufe4pyrOefeBnweX9a4BryL+PmO/w48Ev93Ya97\nAP8B/suBH4lf38v41/8L4m2+B/hD59x747+P9zvnPr9Dxzs0k3aurwAvAzObNbM/MLNjZnYOeD+w\n2BK4pP/ArQHzYz3I0Xiec24x/noe/mTgW1NB3xn8H8cLU/vcm/r+GFDA/5HY7d6CP7l5KakyPQAz\ne6KZ/VOctj+L/8Pfep/uZW97CfD3zrml+P9vJVWyRer+xZ/ungIuanf5HjPQ8+6c2wD+DF/CFOD/\n0L9lnAe+gybxvW4a9fqd7+Qimt8PHP5T/z0pDuBe6py7BHgU/v79Ov7v3W+k/tadAgyfyUi0/r3b\na43IloDD1n7t9IXx5Zfig/+J5Zz7DH4t5k+mfnwR/jlNO0bj+X8rjYD+hcA748Bvr7sYyOPXo388\n9fr/O3wmGyb0NTFp5/oK8LJ5BfAI4InOuX34dDT4N/tpci8+Q7eY+ppzzr0+tU06q3MUqOL/SOxq\nzrlj+KYbz6GlXAX/Rv7XwKXOuf3A77P1uXcjP8gRievqnw881XwHtePAjwA3xqWHkHpezWwe/wlf\nuunOnrz/23ze34wvXX0GvmTpg6M/4pFbJdVoxswu2MFj2SkT/xhk+J1vegyA9GPwIJBel2Lp/+9l\ncRbiTfhA717ge1v+3s045/4ttUvr37u91ojsg/iGMt+U/mH8Hv9s4P/hH4eJWmfbwc8B/4lGAPcA\nPshPO0qjyuO9wBEzeyw+0NvT5ZkA5rvHXgy8E1+eeEPqtb/fOZcEM5P6mpioc30FeNks4F/sZ+K6\n7J/b4ePZKX8CPNfMviZeeF02s6elF6HiMxrXm9ks8BrgL5xz4c4cbt++B3h6XF6atgCccs5txLXn\nWcqY9pLnASF+/dxj46/r8GtOkiYkzzHfTryIX4v3IefcXs3atRroeY8Dugj4FSYne/cp4AYze6yZ\nlYFX7/Dx7IRpeAx6/c5/Evim+BPtq/G/I4n3AI82s+fFmZ/vpzkA3DPM7JFm9orkb1hcdv7t+PW5\nvw/8lJndEF+238y+teUqfixuzHApvhPjnlqH5pw7i19P+1tm9iwzK5jvrPp2fFb2LcD/Bl5rZteY\n95h4HRrAQ8CVO3DoQ+ecuwP//P1Q/KO/xZfhv9DM8uabyFyPz/ThnKsCf45v0nIQH/DtSWa2z8y+\nDvg/wJ845z6FL1n+NTM7L97mYjNLegy8EfguM3uGmQXxZY/cmaMfqok611eA15vDl2vM4DNRH8Kn\nqqdOfEKfLDw/gf8U58dofh29Bf8J6HH84u0fYo9wzt3pnPtYm4v+C/AaM1vG1+q/fbxHNnIvwdeV\n3+OcO5584RcXvwhfrvFW/JvdKeBmUg1G9rptPu9/DDya5uYse5Vzzt2O/2DmH/AdUf+l+y4TZ1oe\ng16/878GVPAn8G8m1VQpLun8VuB/ACfxJ70fY2+OFljGN4f6sJmt4v++fwZ4hXPuHfjxAf8nLtf6\nDD6rlfYu4OP4gPg97MEW8865/4H/m/7LwDngw/i/7c+I11z/Kv697+/jy9+IPx8C/+HHm+MyvueP\n+dBH4TXAHPj1WMDX4bM6J4EfB74uVdIM/u/iVwF/3mEd42737vjv2734tfW/im8gAn5kwh3Ah+LX\n/z/gs1tJM5bvwr9PnAX+ma3Zzr1m4s71zZfPSztm9u/Aa5xz79zpYxHZKWb2JuA+59zP7vSx7DZm\n9p3Ay51zt+70sWyH3uv0GAwqXoN6H/Ai59w/7fTxjIuZOeCaOPMjInvUpL73K4PXQVyWcR3wiZ0+\nFhHZfeIy5P8CvGGnj2U79F6nx6BfcZn+opmV8Nkfw3/iLSKyZ0zye78CvDbM7Jfw5Qg/ETdhEBGp\ni9cinMCXsO3ZxfV6r9NjMKAvw3fRWwKei++4vNdGpIjIFJv0936VaIqIiIiIiEwIZfBEREREREQm\nhAI8ERERERGRCaEADzCzHzCzj5nZZtwxMH3Zy8zsDjNbMbO/M7OLUpctmtmbzezh+OvVLftebmb/\nZGZrZvZ5M/uq8dwjERERERGBkZ7rv9bMbjOzWutlO0kBnvcA8DrgD9M/NLOnAb+An/12ELgLeFtq\nk18DZoHLgScALzaz70pd/jZ8Z55D+Bkjf2FmR0ZyD0REREREpJ1RnevfgZ+T+J4RHfdA1GQlxcxe\nB1zinHtp/P9fBmacc98f//8i4H7gaufcnWa2BDzbOffR+PKfjv//FDO7FrgNOOycW44v/wDwp865\n3x/3fRMRERERmWbDPNdvud4/Ae5wzr16bHemC2XwerM23z+qy+XJZTcAX0qCu9in4p+LiIiIiMjO\nG/Rcf9dSgNfd3wHPN7PHmNkM8N8Ah0/VJpf/pJktmNnVwHenLpsHzrZc31lgYfSHLSIiIiIiPWzn\nXH/XUoDXhXPuH4CfA/4SuDv+Wgbuizf5IWAd+CLwLnzNbnLZCrCv5Sr3xfuLiIiIiMgO2ua5/q6l\nAK8H59zvOOeucc6dj3/y88Bn4stOOede5Jy7wDl3A/7x/Ei862eBK80snbG7Mf65iIiIiIjssG2c\n6+9a+Z0+gN3AzPL4xyIH5MysDNTin12ND8ouBd4A/IZz7nS831XAmfjrq4GXA08FcM7dbmafBH7O\nzH4WeDbwGOCbx3jXRERERESm2ijO9ePLC/F1BkA+vt6qcy4c011rSxk872fx6defBL4j/v5ngTLw\nVny55UeADwKvSu13M75T5jLwi8CLnHPpDN0LgFuA08DrgW9xzp0Y6T0REREREZG0UZ3r/6/4ur4d\nPxJtHXjxKO9IFhqTICIiIiIiMiGUwRMREREREZkQCvBEREREREQmhAI8ERERERGRCaEAT0RERERE\nZEIowBMREREREZkQCvBEREREREQmhAI8ERGZemb2JjN73U4fh4iIyHYpwBMREcnIzN5nZi/b6eMQ\nERHpRAGeiIiIiIjIhFCAJyIiU8fMbjKzfzezZTP7M6Ac//yAmf2NmZ0ws9Px95fEl/088BTgt81s\nxcx+O/75I83svWZ2ysy+YGbP37E7JiIiU08BnoiITBUzKwLvBN4CHAT+HPjm+OIA+CPgMuAosA78\nNoBz7meADwA/4Jybd879gJnNAe8F3gqcB7wA+F0zu35890hERKRBAZ6IiEybJwEF4Nedc1Xn3F8A\nHwVwzp10zv2lc27NObcM/Dzw1C7X9XXA3c65P3LO1ZxznwD+EvjWEd8HERGRtvI7fQAiIiJjdhFw\nv3POpX52DMDMZoFfA54FHIgvWzCznHMubHNdlwFPNLMzqZ/l8dlBERGRsVOAJyIi0+ZB4GIzs1SQ\ndxS4E3gF8Ajgic6542b2WOATgMXbuZbruhf4Z+fcM8dw3CIiIj2pRFNERKbNB4Ea8ENmVjCzbwKe\nEF+2gF93d8bMDgI/17LvQ8CVqf//DXCtmb04vq6CmT3ezK4b8X0QERFpSwGeiIhMFedcBfgm4KXA\nKeDbgL+KL/51YAZYAj4E/F3L7r8BfEvcYfM343V6X41vrvIAcBz4JaA04rshIiLSljUvQRARERER\nEZG9Shk8ERERERGRCaEAT0REREREZEIowBMREREREZkQCvBEREREREQmhAI8ERERERGRCaEAT0RE\nREREZEIowBMREREREZkQCvBEREREREQmxP8PF+BOirFXoccAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x12588d7f0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"visualize_prediction(predict(model, X[-365:]), data[\"temperature\"][-365:], \"month_prediction.svg\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Analyze Model"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"So far, our models only gets the current month as an input feature. We'd expect that it simply learns to predict the average temperature and standard deviation for the given month.\n",
"\n",
"Let's validate this hypothesis for January:"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Predicted average temperature: 15.20153\n",
"Predicted standard deviation: 2.886295\n"
]
}
],
"source": [
"means, stds = predict(model, one_hot(12, 1).reshape((1, 12)))\n",
"print(\"Predicted average temperature:\", means[0])\n",
"print(\"Predicted standard deviation:\", stds[0])"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Actual average temperature: 15.011974110032364\n",
"Actual standard deviation: 2.8592670569961873\n"
]
}
],
"source": [
"temperature_january = data[[date.month == 1 for date in data.index]][\"temperature\"]\n",
"print(\"Actual average temperature:\", temperature_january.mean())\n",
"print(\"Actual standard deviation:\", temperature_january.std())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# More Features"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's make our model more powerful by also giving it access to the mean temperature and standard deviation in the last-seven-days time window:"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"data2 = data[7:].copy()\n",
"data2[\"avg_last_7_days\"] = [data[index - 7: index][\"temperature\"].mean()\n",
" for index in range(7, len(data))]\n",
"data2[\"std_last_7_days\"] = [data[index - 7: index][\"temperature\"].std()\n",
" for index in range(7, len(data))]"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>temperature</th>\n",
" <th>avg_last_7_days</th>\n",
" <th>std_last_7_days</th>\n",
" </tr>\n",
" <tr>\n",
" <th>date</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>1981-01-09</th>\n",
" <td>21.8</td>\n",
" <td>16.585714</td>\n",
" <td>1.476966</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1981-01-10</th>\n",
" <td>20.0</td>\n",
" <td>17.142857</td>\n",
" <td>2.462287</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1981-01-11</th>\n",
" <td>16.2</td>\n",
" <td>17.314286</td>\n",
" <td>2.632761</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1981-01-12</th>\n",
" <td>13.3</td>\n",
" <td>17.542857</td>\n",
" <td>2.418579</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1981-01-13</th>\n",
" <td>16.7</td>\n",
" <td>17.185714</td>\n",
" <td>2.862649</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1981-01-14</th>\n",
" <td>21.5</td>\n",
" <td>17.314286</td>\n",
" <td>2.809762</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1981-01-15</th>\n",
" <td>25.0</td>\n",
" <td>18.128571</td>\n",
" <td>3.107901</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1981-01-16</th>\n",
" <td>20.7</td>\n",
" <td>19.214286</td>\n",
" <td>4.008087</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1981-01-17</th>\n",
" <td>20.6</td>\n",
" <td>19.057143</td>\n",
" <td>3.910182</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1981-01-18</th>\n",
" <td>24.8</td>\n",
" <td>19.142857</td>\n",
" <td>3.940752</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" temperature avg_last_7_days std_last_7_days\n",
"date \n",
"1981-01-09 21.8 16.585714 1.476966\n",
"1981-01-10 20.0 17.142857 2.462287\n",
"1981-01-11 16.2 17.314286 2.632761\n",
"1981-01-12 13.3 17.542857 2.418579\n",
"1981-01-13 16.7 17.185714 2.862649\n",
"1981-01-14 21.5 17.314286 2.809762\n",
"1981-01-15 25.0 18.128571 3.107901\n",
"1981-01-16 20.7 19.214286 4.008087\n",
"1981-01-17 20.6 19.057143 3.910182\n",
"1981-01-18 24.8 19.142857 3.940752"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data2[:10]"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"X2 = np.array([np.concatenate([one_hot(12, date.month),\n",
" [row[\"avg_last_7_days\"]],\n",
" [row[\"std_last_7_days\"]]])\n",
" for date, row in data2.iterrows()])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Again, we train the model and plot the loss curve:"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"model2, history = train_model(X2, data2[\"temperature\"])"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Final train loss: 1.0199100604625537\n"
]
},
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x1265ce128>"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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cAAAAAClCicsikbCnA33D2tk56HcUAAAAAClCicsikfrYXBx3qQQAAACyFyUu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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1265dba20>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"print(\"Final train loss:\", history.history[\"loss\"][-1])\n",
"pd.DataFrame(history.history).plot(title=\"Train Loss per epoch\")"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/ipykernel_launcher.py:13: MatplotlibDeprecationWarning: The set_axis_bgcolor function was deprecated in version 2.0. Use set_facecolor instead.\n",
" del sys.path[0]\n"
]
},
{
"data": {
"text/plain": [
"(<matplotlib.figure.Figure at 0x120ac9b00>,\n",
" <matplotlib.axes._subplots.AxesSubplot at 0x1265ce080>)"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"text/plain": [
"<matplotlib.figure.Figure at 0x120ac9b00>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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fnvg34P97PTB5tNF7QnkwwGsGVtq9jHQCQq/PHDwzCZiJ2j8PNS+11tOxGrsfREREtL6k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uewuOsdqc/hEhxGlXW/mO4O1LDsme12G2NjYygUCigWizAMo6vOjjGGsbEE4ukoeOVyGbZt+yQk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Zox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"text/plain": [
"<matplotlib.figure.Figure at 0x1265a9e48>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"visualize_prediction(predict(model2, X2[-365:]), data[\"temperature\"][-365:], \"complex_feature_prediction.svg\")"
]
}
],
"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": "3.6.2"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
Date Daily minimum temperatures in Melbourne, Australia, 1981-1990
1981-01-01 20.7
1981-01-02 17.9
1981-01-03 18.8
1981-01-04 14.6
1981-01-05 15.8
1981-01-06 15.8
1981-01-07 15.8
1981-01-08 17.4
1981-01-09 21.8
1981-01-10 20.0
1981-01-11 16.2
1981-01-12 13.3
1981-01-13 16.7
1981-01-14 21.5
1981-01-15 25.0
1981-01-16 20.7
1981-01-17 20.6
1981-01-18 24.8
1981-01-19 17.7
1981-01-20 15.5
1981-01-21 18.2
1981-01-22 12.1
1981-01-23 14.4
1981-01-24 16.0
1981-01-25 16.5
1981-01-26 18.7
1981-01-27 19.4
1981-01-28 17.2
1981-01-29 15.5
1981-01-30 15.1
1981-01-31 15.4
1981-02-01 15.3
1981-02-02 18.8
1981-02-03 21.9
1981-02-04 19.9
1981-02-05 16.6
1981-02-06 16.8
1981-02-07 14.6
1981-02-08 17.1
1981-02-09 25.0
1981-02-10 15.0
1981-02-11 13.7
1981-02-12 13.9
1981-02-13 18.3
1981-02-14 22.0
1981-02-15 22.1
1981-02-16 21.2
1981-02-17 18.4
1981-02-18 16.6
1981-02-19 16.1
1981-02-20 15.7
1981-02-21 16.6
1981-02-22 16.5
1981-02-23 14.4
1981-02-24 14.4
1981-02-25 18.5
1981-02-26 16.9
1981-02-27 17.5
1981-02-28 21.2
1981-03-01 17.8
1981-03-02 18.6
1981-03-03 17.0
1981-03-04 16.0
1981-03-05 13.3
1981-03-06 14.3
1981-03-07 11.4
1981-03-08 16.3
1981-03-09 16.1
1981-03-10 11.8
1981-03-11 12.2
1981-03-12 14.7
1981-03-13 11.8
1981-03-14 11.3
1981-03-15 10.6
1981-03-16 11.7
1981-03-17 14.2
1981-03-18 11.2
1981-03-19 16.9
1981-03-20 16.7
1981-03-21 8.1
1981-03-22 8.0
1981-03-23 8.8
1981-03-24 13.4
1981-03-25 10.9
1981-03-26 13.4
1981-03-27 11.0
1981-03-28 15.0
1981-03-29 15.7
1981-03-30 14.5
1981-03-31 15.8
1981-04-01 16.7
1981-04-02 16.8
1981-04-03 17.5
1981-04-04 17.1
1981-04-05 18.1
1981-04-06 16.6
1981-04-07 10.0
1981-04-08 14.9
1981-04-09 15.9
1981-04-10 13.0
1981-04-11 7.6
1981-04-12 11.5
1981-04-13 13.5
1981-04-14 13.0
1981-04-15 13.3
1981-04-16 12.1
1981-04-17 12.4
1981-04-18 13.2
1981-04-19 13.8
1981-04-20 10.6
1981-04-21 9.0
1981-04-22 10.0
1981-04-23 9.8
1981-04-24 11.5
1981-04-25 8.9
1981-04-26 7.4
1981-04-27 9.9
1981-04-28 9.3
1981-04-29 9.9
1981-04-30 7.4
1981-05-01 8.6
1981-05-02 11.9
1981-05-03 14.0
1981-05-04 8.6
1981-05-05 10.0
1981-05-06 13.5
1981-05-07 12.0
1981-05-08 10.5
1981-05-09 10.7
1981-05-10 8.1
1981-05-11 10.1
1981-05-12 10.6
1981-05-13 5.3
1981-05-14 6.6
1981-05-15 8.5
1981-05-16 11.2
1981-05-17 9.8
1981-05-18 5.9
1981-05-19 3.2
1981-05-20 2.1
1981-05-21 3.4
1981-05-22 5.4
1981-05-23 9.6
1981-05-24 11.5
1981-05-25 12.3
1981-05-26 12.6
1981-05-27 11.0
1981-05-28 11.2
1981-05-29 11.4
1981-05-30 11.8
1981-05-31 12.8
1981-06-01 11.6
1981-06-02 10.6
1981-06-03 9.8
1981-06-04 11.2
1981-06-05 5.7
1981-06-06 7.1
1981-06-07 2.5
1981-06-08 3.5
1981-06-09 4.6
1981-06-10 11.0
1981-06-11 5.7
1981-06-12 7.7
1981-06-13 10.4
1981-06-14 11.4
1981-06-15 9.2
1981-06-16 6.1
1981-06-17 2.7
1981-06-18 4.3
1981-06-19 6.3
1981-06-20 3.8
1981-06-21 4.4
1981-06-22 7.1
1981-06-23 4.8
1981-06-24 5.8
1981-06-25 6.2
1981-06-26 7.3
1981-06-27 9.2
1981-06-28 10.2
1981-06-29 9.5
1981-06-30 9.5
1981-07-01 10.7
1981-07-02 10.0
1981-07-03 6.5
1981-07-04 7.0
1981-07-05 7.4
1981-07-06 8.1
1981-07-07 6.6
1981-07-08 8.3
1981-07-09 8.9
1981-07-10 4.6
1981-07-11 6.8
1981-07-12 5.7
1981-07-13 6.1
1981-07-14 7.0
1981-07-15 7.2
1981-07-16 6.3
1981-07-17 8.8
1981-07-18 5.0
1981-07-19 7.4
1981-07-20 10.1
1981-07-21 12.0
1981-07-22 9.0
1981-07-23 8.9
1981-07-24 9.8
1981-07-25 9.0
1981-07-26 9.2
1981-07-27 7.7
1981-07-28 8.0
1981-07-29 6.1
1981-07-30 3.5
1981-07-31 3.2
1981-08-01 5.7
1981-08-02 7.7
1981-08-03 9.0
1981-08-04 10.0
1981-08-05 6.2
1981-08-06 6.9
1981-08-07 6.5
1981-08-08 6.8
1981-08-09 7.0
1981-08-10 5.2
1981-08-11 3.0
1981-08-12 5.6
1981-08-13 7.9
1981-08-14 9.0
1981-08-15 8.6
1981-08-16 10.3
1981-08-17 10.5
1981-08-18 7.6
1981-08-19 9.7
1981-08-20 12.5
1981-08-21 7.4
1981-08-22 7.9
1981-08-23 3.9
1981-08-24 6.6
1981-08-25 4.6
1981-08-26 7.0
1981-08-27 6.0
1981-08-28 5.5
1981-08-29 8.1
1981-08-30 5.5
1981-08-31 6.2
1981-09-01 8.0
1981-09-02 10.3
1981-09-03 9.8
1981-09-04 9.6
1981-09-05 8.5
1981-09-06 7.5
1981-09-07 11.2
1981-09-08 14.6
1981-09-09 11.7
1981-09-10 7.8
1981-09-11 12.3
1981-09-12 10.1
1981-09-13 11.5
1981-09-14 7.3
1981-09-15 10.9
1981-09-16 14.1
1981-09-17 10.7
1981-09-18 16.9
1981-09-19 10.5
1981-09-20 6.5
1981-09-21 11.0
1981-09-22 6.3
1981-09-23 10.5
1981-09-24 7.2
1981-09-25 7.6
1981-09-26 10.7
1981-09-27 7.8
1981-09-28 9.6
1981-09-29 11.4
1981-09-30 12.4
1981-10-01 8.9
1981-10-02 13.2
1981-10-03 8.6
1981-10-04 6.2
1981-10-05 11.4
1981-10-06 13.2
1981-10-07 14.3
1981-10-08 7.3
1981-10-09 12.9
1981-10-10 7.8
1981-10-11 6.2
1981-10-12 5.6
1981-10-13 10.0
1981-10-14 13.3
1981-10-15 8.3
1981-10-16 10.2
1981-10-17 8.6
1981-10-18 7.3
1981-10-19 10.4
1981-10-20 11.2
1981-10-21 13.2
1981-10-22 11.4
1981-10-23 9.1
1981-10-24 6.6
1981-10-25 8.4
1981-10-26 9.7
1981-10-27 13.2
1981-10-28 12.5
1981-10-29 11.0
1981-10-30 11.0
1981-10-31 11.7
1981-11-01 9.2
1981-11-02 11.5
1981-11-03 13.6
1981-11-04 13.7
1981-11-05 10.4
1981-11-06 11.5
1981-11-07 7.6
1981-11-08 9.6
1981-11-09 14.2
1981-11-10 15.7
1981-11-11 10.5
1981-11-12 10.5
1981-11-13 9.7
1981-11-14 9.5
1981-11-15 11.3
1981-11-16 8.9
1981-11-17 9.4
1981-11-18 11.9
1981-11-19 11.7
1981-11-20 13.4
1981-11-21 12.6
1981-11-22 10.1
1981-11-23 15.8
1981-11-24 13.6
1981-11-25 11.9
1981-11-26 9.9
1981-11-27 12.6
1981-11-28 17.8
1981-11-29 15.0
1981-11-30 13.6
1981-12-01 13.4
1981-12-02 10.5
1981-12-03 14.2
1981-12-04 11.5
1981-12-05 13.0
1981-12-06 15.0
1981-12-07 14.7
1981-12-08 12.6
1981-12-09 12.5
1981-12-10 13.5
1981-12-11 14.8
1981-12-12 17.2
1981-12-13 9.7
1981-12-14 12.1
1981-12-15 12.8
1981-12-16 11.2
1981-12-17 16.4
1981-12-18 15.6
1981-12-19 13.3
1981-12-20 11.0
1981-12-21 11.1
1981-12-22 15.0
1981-12-23 12.8
1981-12-24 15.0
1981-12-25 14.2
1981-12-26 14.0
1981-12-27 15.5
1981-12-28 13.3
1981-12-29 15.6
1981-12-30 15.2
1981-12-31 17.4
1982-01-01 17.0
1982-01-02 15.0
1982-01-03 13.5
1982-01-04 15.2
1982-01-05 13.0
1982-01-06 12.5
1982-01-07 14.1
1982-01-08 14.8
1982-01-09 16.2
1982-01-10 15.8
1982-01-11 19.1
1982-01-12 22.2
1982-01-13 15.9
1982-01-14 13.0
1982-01-15 14.1
1982-01-16 15.8
1982-01-17 24.0
1982-01-18 18.0
1982-01-19 19.7
1982-01-20 25.2
1982-01-21 20.5
1982-01-22 19.3
1982-01-23 15.8
1982-01-24 17.0
1982-01-25 18.4
1982-01-26 13.3
1982-01-27 14.6
1982-01-28 12.5
1982-01-29 17.0
1982-01-30 17.1
1982-01-31 14.0
1982-02-01 14.6
1982-02-02 13.3
1982-02-03 14.8
1982-02-04 15.1
1982-02-05 13.1
1982-02-06 13.6
1982-02-07 19.5
1982-02-08 22.7
1982-02-09 17.2
1982-02-10 13.5
1982-02-11 15.4
1982-02-12 17.0
1982-02-13 19.2
1982-02-14 22.8
1982-02-15 26.3
1982-02-16 18.2
1982-02-17 17.0
1982-02-18 14.8
1982-02-19 12.8
1982-02-20 15.5
1982-02-21 15.6
1982-02-22 13.1
1982-02-23 15.2
1982-02-24 14.1
1982-02-25 12.5
1982-02-26 14.6
1982-02-27 10.4
1982-02-28 13.9
1982-03-01 11.9
1982-03-02 13.5
1982-03-03 9.8
1982-03-04 14.0
1982-03-05 21.5
1982-03-06 19.5
1982-03-07 16.7
1982-03-08 19.1
1982-03-09 11.0
1982-03-10 9.0
1982-03-11 10.0
1982-03-12 14.6
1982-03-13 12.5
1982-03-14 17.2
1982-03-15 19.2
1982-03-16 22.2
1982-03-17 15.7
1982-03-18 14.2
1982-03-19 9.8
1982-03-20 14.0
1982-03-21 17.5
1982-03-22 20.7
1982-03-23 15.6
1982-03-24 13.2
1982-03-25 14.5
1982-03-26 16.8
1982-03-27 17.2
1982-03-28 13.4
1982-03-29 14.2
1982-03-30 14.3
1982-03-31 10.2
1982-04-01 10.4
1982-04-02 12.3
1982-04-03 11.9
1982-04-04 11.2
1982-04-05 8.5
1982-04-06 12.0
1982-04-07 12.4
1982-04-08 12.9
1982-04-09 10.1
1982-04-10 15.0
1982-04-11 13.6
1982-04-12 12.4
1982-04-13 13.6
1982-04-14 16.1
1982-04-15 19.5
1982-04-16 14.2
1982-04-17 9.3
1982-04-18 10.1
1982-04-19 7.4
1982-04-20 8.6
1982-04-21 7.8
1982-04-22 9.1
1982-04-23 13.0
1982-04-24 16.5
1982-04-25 12.9
1982-04-26 6.9
1982-04-27 6.9
1982-04-28 8.7
1982-04-29 10.0
1982-04-30 10.8
1982-05-01 7.5
1982-05-02 6.3
1982-05-03 11.9
1982-05-04 13.8
1982-05-05 11.8
1982-05-06 11.0
1982-05-07 10.1
1982-05-08 8.5
1982-05-09 5.5
1982-05-10 7.6
1982-05-11 8.7
1982-05-12 10.8
1982-05-13 11.2
1982-05-14 9.1
1982-05-15 3.7
1982-05-16 4.6
1982-05-17 6.6
1982-05-18 13.2
1982-05-19 15.2
1982-05-20 7.6
1982-05-21 8.4
1982-05-22 6.0
1982-05-23 8.3
1982-05-24 8.6
1982-05-25 11.1
1982-05-26 12.1
1982-05-27 12.9
1982-05-28 14.0
1982-05-29 12.5
1982-05-30 11.5
1982-05-31 7.0
1982-06-01 7.1
1982-06-02 9.0
1982-06-03 3.1
1982-06-04 2.5
1982-06-05 0.0
1982-06-06 1.6
1982-06-07 2.6
1982-06-08 5.7
1982-06-09 2.3
1982-06-10 4.5
1982-06-11 8.2
1982-06-12 6.9
1982-06-13 7.3
1982-06-14 6.0
1982-06-15 7.3
1982-06-16 7.6
1982-06-17 8.0
1982-06-18 8.0
1982-06-19 6.8
1982-06-20 7.3
1982-06-21 6.2
1982-06-22 6.9
1982-06-23 8.9
1982-06-24 4.0
1982-06-25 1.3
1982-06-26 0.8
1982-06-27 4.3
1982-06-28 7.3
1982-06-29 7.7
1982-06-30 9.0
1982-07-01 4.2
1982-07-02 1.6
1982-07-03 2.6
1982-07-04 3.4
1982-07-05 3.9
1982-07-06 7.0
1982-07-07 7.8
1982-07-08 5.3
1982-07-09 2.4
1982-07-10 2.8
1982-07-11 4.0
1982-07-12 7.5
1982-07-13 7.8
1982-07-14 5.6
1982-07-15 3.3
1982-07-16 5.0
1982-07-17 3.7
1982-07-18 3.9
1982-07-19 5.2
1982-07-20 0.2
1982-07-21 0.8
1982-07-22 0.9
1982-07-23 3.5
1982-07-24 6.6
1982-07-25 9.5
1982-07-26 9.0
1982-07-27 3.5
1982-07-28 4.5
1982-07-29 5.7
1982-07-30 5.6
1982-07-31 7.1
1982-08-01 9.7
1982-08-02 8.3
1982-08-03 9.1
1982-08-04 2.8
1982-08-05 2.2
1982-08-06 4.5
1982-08-07 3.8
1982-08-08 3.8
1982-08-09 6.2
1982-08-10 11.5
1982-08-11 10.2
1982-08-12 7.9
1982-08-13 9.0
1982-08-14 9.5
1982-08-15 6.0
1982-08-16 8.2
1982-08-17 9.2
1982-08-18 4.3
1982-08-19 6.6
1982-08-20 9.4
1982-08-21 13.2
1982-08-22 6.6
1982-08-23 5.1
1982-08-24 12.1
1982-08-25 11.2
1982-08-26 8.5
1982-08-27 4.6
1982-08-28 7.0
1982-08-29 14.2
1982-08-30 12.7
1982-08-31 7.6
1982-09-01 4.0
1982-09-02 10.0
1982-09-03 10.5
1982-09-04 5.0
1982-09-05 4.5
1982-09-06 8.2
1982-09-07 4.3
1982-09-08 9.8
1982-09-09 5.8
1982-09-10 5.0
1982-09-11 8.5
1982-09-12 9.0
1982-09-13 3.6
1982-09-14 6.7
1982-09-15 6.7
1982-09-16 10.1
1982-09-17 15.0
1982-09-18 8.9
1982-09-19 5.7
1982-09-20 4.2
1982-09-21 4.0
1982-09-22 5.3
1982-09-23 6.3
1982-09-24 8.5
1982-09-25 11.5
1982-09-26 7.7
1982-09-27 9.2
1982-09-28 7.8
1982-09-29 6.3
1982-09-30 6.3
1982-10-01 8.6
1982-10-02 6.1
1982-10-03 13.2
1982-10-04 9.9
1982-10-05 4.7
1982-10-06 5.8
1982-10-07 14.9
1982-10-08 10.7
1982-10-09 8.6
1982-10-10 9.4
1982-10-11 5.7
1982-10-12 10.9
1982-10-13 13.1
1982-10-14 10.4
1982-10-15 8.2
1982-10-16 9.8
1982-10-17 7.5
1982-10-18 5.8
1982-10-19 9.8
1982-10-20 7.9
1982-10-21 8.7
1982-10-22 10.0
1982-10-23 10.6
1982-10-24 8.0
1982-10-25 10.2
1982-10-26 15.1
1982-10-27 13.9
1982-10-28 9.2
1982-10-29 9.0
1982-10-30 13.2
1982-10-31 7.0
1982-11-01 10.6
1982-11-02 6.9
1982-11-03 9.5
1982-11-04 12.5
1982-11-05 13.6
1982-11-06 17.7
1982-11-07 16.0
1982-11-08 11.3
1982-11-09 10.5
1982-11-10 14.4
1982-11-11 10.3
1982-11-12 9.0
1982-11-13 11.1
1982-11-14 14.5
1982-11-15 18.0
1982-11-16 12.8
1982-11-17 10.7
1982-11-18 9.1
1982-11-19 8.7
1982-11-20 12.4
1982-11-21 12.6
1982-11-22 10.3
1982-11-23 13.7
1982-11-24 16.0
1982-11-25 15.8
1982-11-26 12.1
1982-11-27 12.5
1982-11-28 12.2
1982-11-29 13.7
1982-11-30 16.1
1982-12-01 15.5
1982-12-02 10.3
1982-12-03 10.5
1982-12-04 11.0
1982-12-05 11.9
1982-12-06 13.0
1982-12-07 12.2
1982-12-08 10.6
1982-12-09 13.0
1982-12-10 13.0
1982-12-11 12.2
1982-12-12 12.6
1982-12-13 18.7
1982-12-14 15.2
1982-12-15 15.3
1982-12-16 13.9
1982-12-17 15.8
1982-12-18 13.0
1982-12-19 13.0
1982-12-20 13.7
1982-12-21 12.0
1982-12-22 10.8
1982-12-23 15.6
1982-12-24 15.3
1982-12-25 13.9
1982-12-26 13.0
1982-12-27 15.3
1982-12-28 16.3
1982-12-29 15.8
1982-12-30 17.7
1982-12-31 16.3
1983-01-01 18.4
1983-01-02 15.0
1983-01-03 10.9
1983-01-04 11.4
1983-01-05 14.8
1983-01-06 12.1
1983-01-07 12.8
1983-01-08 16.2
1983-01-09 15.5
1983-01-10 13.0
1983-01-11 10.5
1983-01-12 9.1
1983-01-13 10.5
1983-01-14 11.8
1983-01-15 12.7
1983-01-16 12.7
1983-01-17 11.5
1983-01-18 13.8
1983-01-19 13.3
1983-01-20 11.6
1983-01-21 15.4
1983-01-22 12.4
1983-01-23 16.9
1983-01-24 14.7
1983-01-25 10.6
1983-01-26 15.6
1983-01-27 10.7
1983-01-28 12.6
1983-01-29 13.8
1983-01-30 14.3
1983-01-31 14.0
1983-02-01 18.1
1983-02-02 17.3
1983-02-03 13.0
1983-02-04 16.0
1983-02-05 14.9
1983-02-06 16.2
1983-02-07 20.3
1983-02-08 22.5
1983-02-09 17.2
1983-02-10 15.9
1983-02-11 16.8
1983-02-12 13.8
1983-02-13 12.8
1983-02-14 14.0
1983-02-15 17.5
1983-02-16 21.5
1983-02-17 16.8
1983-02-18 13.6
1983-02-19 14.5
1983-02-20 14.2
1983-02-21 15.7
1983-02-22 19.7
1983-02-23 17.4
1983-02-24 14.4
1983-02-25 16.9
1983-02-26 19.1
1983-02-27 20.4
1983-02-28 20.1
1983-03-01 19.9
1983-03-02 22.0
1983-03-03 20.5
1983-03-04 22.1
1983-03-05 20.6
1983-03-06 15.0
1983-03-07 20.6
1983-03-08 21.5
1983-03-09 16.2
1983-03-10 14.1
1983-03-11 14.5
1983-03-12 21.1
1983-03-13 15.9
1983-03-14 15.2
1983-03-15 13.1
1983-03-16 13.2
1983-03-17 12.5
1983-03-18 15.2
1983-03-19 17.6
1983-03-20 15.5
1983-03-21 16.7
1983-03-22 16.3
1983-03-23 15.1
1983-03-24 12.7
1983-03-25 10.0
1983-03-26 11.4
1983-03-27 12.6
1983-03-28 10.7
1983-03-29 10.0
1983-03-30 13.9
1983-03-31 13.4
1983-04-01 12.5
1983-04-02 12.8
1983-04-03 7.8
1983-04-04 11.1
1983-04-05 10.7
1983-04-06 7.1
1983-04-07 6.7
1983-04-08 5.7
1983-04-09 9.1
1983-04-10 15.2
1983-04-11 15.5
1983-04-12 11.1
1983-04-13 11.7
1983-04-14 11.5
1983-04-15 9.8
1983-04-16 6.2
1983-04-17 6.7
1983-04-18 7.5
1983-04-19 8.8
1983-04-20 8.0
1983-04-21 10.4
1983-04-22 14.5
1983-04-23 16.5
1983-04-24 14.1
1983-04-25 10.5
1983-04-26 12.6
1983-04-27 13.0
1983-04-28 8.7
1983-04-29 10.1
1983-04-30 12.0
1983-05-01 12.5
1983-05-02 13.5
1983-05-03 13.7
1983-05-04 13.5
1983-05-05 10.7
1983-05-06 13.0
1983-05-07 11.6
1983-05-08 13.0
1983-05-09 11.2
1983-05-10 13.5
1983-05-11 12.9
1983-05-12 6.8
1983-05-13 10.0
1983-05-14 14.5
1983-05-15 11.7
1983-05-16 6.7
1983-05-17 4.6
1983-05-18 4.9
1983-05-19 7.4
1983-05-20 8.3
1983-05-21 7.5
1983-05-22 6.2
1983-05-23 7.8
1983-05-24 13.2
1983-05-25 11.9
1983-05-26 6.5
1983-05-27 8.3
1983-05-28 12.1
1983-05-29 9.3
1983-05-30 7.5
1983-05-31 9.3
1983-06-01 11.0
1983-06-02 10.8
1983-06-03 5.3
1983-06-04 7.6
1983-06-05 5.6
1983-06-06 7.2
1983-06-07 9.6
1983-06-08 7.0
1983-06-09 8.3
1983-06-10 7.8
1983-06-11 4.7
1983-06-12 6.8
1983-06-13 7.2
1983-06-14 8.3
1983-06-15 9.5
1983-06-16 4.7
1983-06-17 3.0
1983-06-18 1.5
1983-06-19 2.5
1983-06-20 6.2
1983-06-21 11.6
1983-06-22 6.6
1983-06-23 6.6
1983-06-24 8.0
1983-06-25 7.9
1983-06-26 3.3
1983-06-27 3.9
1983-06-28 6.0
1983-06-29 4.0
1983-06-30 5.5
1983-07-01 8.5
1983-07-02 9.8
1983-07-03 9.5
1983-07-04 7.2
1983-07-05 8.1
1983-07-06 8.0
1983-07-07 8.5
1983-07-08 8.8
1983-07-09 8.3
1983-07-10 2.4
1983-07-11 4.9
1983-07-12 5.9
1983-07-13 6.7
1983-07-14 8.4
1983-07-15 6.5
1983-07-16 7.9
1983-07-17 4.1
1983-07-18 5.4
1983-07-19 7.5
1983-07-20 3.9
1983-07-21 2.5
1983-07-22 5.3
1983-07-23 6.6
1983-07-24 0.0
1983-07-25 0.7
1983-07-26 7.6
1983-07-27 12.3
1983-07-28 9.2
1983-07-29 9.6
1983-07-30 9.5
1983-07-31 10.0
1983-08-01 7.7
1983-08-02 8.0
1983-08-03 8.3
1983-08-04 8.3
1983-08-05 4.5
1983-08-06 6.5
1983-08-07 9.4
1983-08-08 9.4
1983-08-09 10.5
1983-08-10 10.7
1983-08-11 9.9
1983-08-12 7.6
1983-08-13 5.8
1983-08-14 8.5
1983-08-15 13.8
1983-08-16 14.3
1983-08-17 8.3
1983-08-18 5.3
1983-08-19 3.0
1983-08-20 5.2
1983-08-21 10.3
1983-08-22 11.1
1983-08-23 10.5
1983-08-24 9.0
1983-08-25 13.0
1983-08-26 6.4
1983-08-27 8.4
1983-08-28 6.7
1983-08-29 8.3
1983-08-30 11.2
1983-08-31 10.0
1983-09-01 10.1
1983-09-02 10.6
1983-09-03 10.9
1983-09-04 5.7
1983-09-05 9.5
1983-09-06 10.4
1983-09-07 11.1
1983-09-08 12.2
1983-09-09 10.6
1983-09-10 8.8
1983-09-11 9.2
1983-09-12 5.5
1983-09-13 7.1
1983-09-14 6.5
1983-09-15 4.3
1983-09-16 5.0
1983-09-17 11.2
1983-09-18 7.5
1983-09-19 12.0
1983-09-20 13.6
1983-09-21 8.3
1983-09-22 8.5
1983-09-23 12.9
1983-09-24 7.7
1983-09-25 7.6
1983-09-26 3.5
1983-09-27 10.4
1983-09-28 15.4
1983-09-29 10.6
1983-09-30 9.6
1983-10-01 9.3
1983-10-02 13.9
1983-10-03 7.7
1983-10-04 9.5
1983-10-05 7.6
1983-10-06 6.9
1983-10-07 6.8
1983-10-08 5.8
1983-10-09 6.0
1983-10-10 8.3
1983-10-11 9.1
1983-10-12 12.5
1983-10-13 13.2
1983-10-14 16.2
1983-10-15 12.5
1983-10-16 11.8
1983-10-17 10.6
1983-10-18 10.0
1983-10-19 12.2
1983-10-20 8.9
1983-10-21 10.3
1983-10-22 7.5
1983-10-23 11.6
1983-10-24 12.6
1983-10-25 12.9
1983-10-26 11.7
1983-10-27 14.0
1983-10-28 12.3
1983-10-29 9.0
1983-10-30 9.2
1983-10-31 9.8
1983-11-01 11.8
1983-11-02 10.6
1983-11-03 12.6
1983-11-04 11.0
1983-11-05 8.2
1983-11-06 7.5
1983-11-07 13.6
1983-11-08 14.8
1983-11-09 10.9
1983-11-10 7.7
1983-11-11 10.2
1983-11-12 10.8
1983-11-13 10.8
1983-11-14 12.5
1983-11-15 13.2
1983-11-16 8.7
1983-11-17 5.7
1983-11-18 9.8
1983-11-19 7.3
1983-11-20 10.8
1983-11-21 10.0
1983-11-22 16.2
1983-11-23 15.0
1983-11-24 14.5
1983-11-25 15.9
1983-11-26 14.9
1983-11-27 14.2
1983-11-28 15.8
1983-11-29 17.2
1983-11-30 17.6
1983-12-01 12.1
1983-12-02 11.4
1983-12-03 13.0
1983-12-04 13.2
1983-12-05 12.0
1983-12-06 15.3
1983-12-07 12.7
1983-12-08 12.1
1983-12-09 13.8
1983-12-10 10.9
1983-12-11 12.0
1983-12-12 16.5
1983-12-13 15.0
1983-12-14 11.2
1983-12-15 13.9
1983-12-16 15.0
1983-12-17 14.8
1983-12-18 15.0
1983-12-19 13.3
1983-12-20 20.4
1983-12-21 18.0
1983-12-22 12.2
1983-12-23 16.7
1983-12-24 13.8
1983-12-25 17.5
1983-12-26 15.0
1983-12-27 13.9
1983-12-28 11.1
1983-12-29 16.1
1983-12-30 20.4
1983-12-31 18.0
1984-01-01 19.5
1984-01-02 17.1
1984-01-03 17.1
1984-01-04 12.0
1984-01-05 11.0
1984-01-06 16.3
1984-01-07 16.1
1984-01-08 13.0
1984-01-09 13.4
1984-01-10 15.2
1984-01-11 12.5
1984-01-12 14.3
1984-01-13 16.5
1984-01-14 18.6
1984-01-15 18.0
1984-01-16 18.2
1984-01-17 11.4
1984-01-18 11.9
1984-01-19 12.2
1984-01-20 14.8
1984-01-21 13.1
1984-01-22 12.7
1984-01-23 10.5
1984-01-24 13.8
1984-01-25 18.8
1984-01-26 13.9
1984-01-27 11.2
1984-01-28 10.6
1984-01-29 14.7
1984-01-30 13.1
1984-01-31 12.1
1984-02-01 14.7
1984-02-02 11.1
1984-02-03 13.0
1984-02-04 15.6
1984-02-05 14.2
1984-02-06 15.5
1984-02-07 18.0
1984-02-08 15.0
1984-02-09 15.9
1984-02-10 15.5
1984-02-11 15.8
1984-02-12 16.6
1984-02-13 13.6
1984-02-14 13.8
1984-02-15 14.6
1984-02-16 15.6
1984-02-17 16.6
1984-02-18 14.3
1984-02-19 16.3
1984-02-20 18.9
1984-02-21 18.7
1984-02-22 14.5
1984-02-23 16.5
1984-02-24 14.1
1984-02-25 13.5
1984-02-26 11.7
1984-02-27 15.1
1984-02-28 11.2
1984-02-29 13.5
1984-03-01 12.6
1984-03-02 8.8
1984-03-03 10.5
1984-03-04 12.1
1984-03-05 14.5
1984-03-06 19.5
1984-03-07 14.0
1984-03-08 13.8
1984-03-09 10.5
1984-03-10 13.8
1984-03-11 11.4
1984-03-12 15.6
1984-03-13 11.1
1984-03-14 12.1
1984-03-15 14.2
1984-03-16 10.9
1984-03-17 14.2
1984-03-18 13.8
1984-03-19 15.1
1984-03-20 14.0
1984-03-21 12.1
1984-03-22 13.8
1984-03-23 16.6
1984-03-24 17.8
1984-03-25 9.4
1984-03-26 10.2
1984-03-27 7.4
1984-03-28 8.7
1984-03-29 14.0
1984-03-30 15.3
1984-03-31 11.1
1984-04-01 9.7
1984-04-02 10.3
1984-04-03 9.2
1984-04-04 8.2
1984-04-05 9.7
1984-04-06 12.4
1984-04-07 12.5
1984-04-08 9.0
1984-04-09 9.7
1984-04-10 10.1
1984-04-11 11.2
1984-04-12 12.0
1984-04-13 11.1
1984-04-14 10.8
1984-04-15 12.8
1984-04-16 9.8
1984-04-17 13.7
1984-04-18 11.0
1984-04-19 13.2
1984-04-20 13.0
1984-04-21 10.2
1984-04-22 13.2
1984-04-23 9.3
1984-04-24 11.1
1984-04-25 10.3
1984-04-26 8.7
1984-04-27 11.7
1984-04-28 12.5
1984-04-29 6.5
1984-04-30 9.6
1984-05-01 13.8
1984-05-02 14.7
1984-05-03 9.1
1984-05-04 4.8
1984-05-05 3.3
1984-05-06 3.5
1984-05-07 5.7
1984-05-08 5.5
1984-05-09 7.0
1984-05-10 9.5
1984-05-11 9.9
1984-05-12 4.9
1984-05-13 6.3
1984-05-14 4.8
1984-05-15 6.2
1984-05-16 7.1
1984-05-17 7.5
1984-05-18 9.4
1984-05-19 8.7
1984-05-20 9.5
1984-05-21 12.1
1984-05-22 9.5
1984-05-23 9.3
1984-05-24 8.5
1984-05-25 8.0
1984-05-26 9.8
1984-05-27 6.2
1984-05-28 7.3
1984-05-29 10.9
1984-05-30 10.0
1984-05-31 8.7
1984-06-01 9.0
1984-06-02 10.8
1984-06-03 12.4
1984-06-04 7.2
1984-06-05 7.2
1984-06-06 11.1
1984-06-07 9.3
1984-06-08 10.1
1984-06-09 3.9
1984-06-10 5.0
1984-06-11 8.2
1984-06-12 2.8
1984-06-13 4.3
1984-06-14 8.1
1984-06-15 11.1
1984-06-16 4.7
1984-06-17 5.3
1984-06-18 10.0
1984-06-19 5.6
1984-06-20 2.2
1984-06-21 7.1
1984-06-22 8.3
1984-06-23 8.6
1984-06-24 10.1
1984-06-25 8.3
1984-06-26 7.2
1984-06-27 7.7
1984-06-28 7.8
1984-06-29 9.1
1984-06-30 9.4
1984-07-01 7.8
1984-07-02 2.6
1984-07-03 2.4
1984-07-04 3.9
1984-07-05 1.3
1984-07-06 2.1
1984-07-07 7.4
1984-07-08 7.2
1984-07-09 8.8
1984-07-10 8.9
1984-07-11 8.8
1984-07-12 8.0
1984-07-13 0.7
1984-07-14 0.1
1984-07-15 0.9
1984-07-16 7.8
1984-07-17 7.2
1984-07-18 8.0
1984-07-19 4.6
1984-07-20 5.2
1984-07-21 5.8
1984-07-22 6.8
1984-07-23 8.1
1984-07-24 7.5
1984-07-25 5.4
1984-07-26 4.6
1984-07-27 6.4
1984-07-28 9.7
1984-07-29 7.0
1984-07-30 10.0
1984-07-31 10.6
1984-08-01 11.5
1984-08-02 10.2
1984-08-03 11.1
1984-08-04 11.0
1984-08-05 8.9
1984-08-06 9.9
1984-08-07 11.7
1984-08-08 11.6
1984-08-09 9.0
1984-08-10 6.3
1984-08-11 8.7
1984-08-12 8.5
1984-08-13 8.5
1984-08-14 8.0
1984-08-15 6.0
1984-08-16 8.0
1984-08-17 8.5
1984-08-18 7.7
1984-08-19 8.4
1984-08-20 9.0
1984-08-21 8.3
1984-08-22 6.8
1984-08-23 9.3
1984-08-24 6.7
1984-08-25 9.0
1984-08-26 7.3
1984-08-27 6.3
1984-08-28 7.9
1984-08-29 5.2
1984-08-30 9.0
1984-08-31 11.3
1984-09-01 9.2
1984-09-02 11.3
1984-09-03 7.0
1984-09-04 8.0
1984-09-05 4.6
1984-09-06 8.5
1984-09-07 9.5
1984-09-08 9.4
1984-09-09 10.5
1984-09-10 9.7
1984-09-11 4.9
1984-09-12 8.0
1984-09-13 5.8
1984-09-14 5.5
1984-09-15 10.9
1984-09-16 11.7
1984-09-17 9.2
1984-09-18 8.9
1984-09-19 11.3
1984-09-20 8.6
1984-09-21 6.2
1984-09-22 6.6
1984-09-23 9.1
1984-09-24 6.1
1984-09-25 7.5
1984-09-26 10.7
1984-09-27 6.3
1984-09-28 5.5
1984-09-29 6.7
1984-09-30 4.2
1984-10-01 11.3
1984-10-02 16.3
1984-10-03 10.5
1984-10-04 10.3
1984-10-05 7.9
1984-10-06 7.7
1984-10-07 16.0
1984-10-08 14.6
1984-10-09 12.5
1984-10-10 8.1
1984-10-11 12.2
1984-10-12 17.2
1984-10-13 9.4
1984-10-14 8.7
1984-10-15 5.9
1984-10-16 4.8
1984-10-17 7.4
1984-10-18 9.4
1984-10-19 9.7
1984-10-20 9.9
1984-10-21 6.5
1984-10-22 9.8
1984-10-23 18.2
1984-10-24 11.3
1984-10-25 9.1
1984-10-26 9.6
1984-10-27 13.5
1984-10-28 10.7
1984-10-29 10.0
1984-10-30 8.5
1984-10-31 12.6
1984-11-01 16.6
1984-11-02 11.6
1984-11-03 12.2
1984-11-04 11.2
1984-11-05 9.2
1984-11-06 9.9
1984-11-07 11.9
1984-11-08 15.6
1984-11-09 19.0
1984-11-10 12.8
1984-11-11 12.2
1984-11-12 12.0
1984-11-13 11.1
1984-11-14 11.8
1984-11-15 7.6
1984-11-16 13.0
1984-11-17 12.7
1984-11-18 16.0
1984-11-19 14.8
1984-11-20 14.2
1984-11-21 10.0
1984-11-22 8.8
1984-11-23 11.6
1984-11-24 8.6
1984-11-25 14.6
1984-11-26 24.3
1984-11-27 11.6
1984-11-28 10.8
1984-11-29 12.0
1984-11-30 11.0
1984-12-01 12.6
1984-12-02 10.8
1984-12-03 9.1
1984-12-04 11.0
1984-12-05 13.0
1984-12-06 12.8
1984-12-07 9.9
1984-12-08 11.6
1984-12-09 10.5
1984-12-10 15.9
1984-12-11 12.2
1984-12-12 13.0
1984-12-13 12.5
1984-12-14 12.5
1984-12-15 11.4
1984-12-16 12.1
1984-12-17 16.8
1984-12-18 12.1
1984-12-19 11.3
1984-12-20 10.4
1984-12-21 14.2
1984-12-22 11.4
1984-12-23 13.7
1984-12-24 16.5
1984-12-25 12.8
1984-12-26 12.2
1984-12-27 12.0
1984-12-28 12.6
1984-12-29 16.0
1984-12-30 16.4
1985-01-01 13.3
1985-01-02 15.2
1985-01-03 13.1
1985-01-04 12.7
1985-01-05 14.6
1985-01-06 11.0
1985-01-07 13.2
1985-01-08 12.2
1985-01-09 14.4
1985-01-10 13.7
1985-01-11 14.5
1985-01-12 14.1
1985-01-13 14.4
1985-01-14 19.7
1985-01-15 16.5
1985-01-16 15.9
1985-01-17 11.8
1985-01-18 12.0
1985-01-19 11.4
1985-01-20 14.4
1985-01-21 12.4
1985-01-22 15.1
1985-01-23 15.6
1985-01-24 15.2
1985-01-25 12.8
1985-01-26 13.3
1985-01-27 17.5
1985-01-28 15.4
1985-01-29 13.5
1985-01-30 16.7
1985-01-31 15.2
1985-02-01 14.9
1985-02-02 10.2
1985-02-03 13.6
1985-02-04 19.0
1985-02-05 15.7
1985-02-06 18.0
1985-02-07 14.8
1985-02-08 13.9
1985-02-09 13.0
1985-02-10 15.3
1985-02-11 14.3
1985-02-12 15.6
1985-02-13 16.0
1985-02-14 14.9
1985-02-15 11.1
1985-02-16 14.8
1985-02-17 13.0
1985-02-18 12.2
1985-02-19 10.9
1985-02-20 14.6
1985-02-21 16.6
1985-02-22 18.1
1985-02-23 13.4
1985-02-24 10.3
1985-02-25 13.6
1985-02-26 13.8
1985-02-27 10.3
1985-02-28 11.0
1985-03-01 14.3
1985-03-02 15.5
1985-03-03 14.7
1985-03-04 12.7
1985-03-05 10.7
1985-03-06 12.6
1985-03-07 9.8
1985-03-08 13.2
1985-03-09 15.2
1985-03-10 16.6
1985-03-11 21.0
1985-03-12 22.4
1985-03-13 17.0
1985-03-14 21.7
1985-03-15 21.4
1985-03-16 18.6
1985-03-17 16.2
1985-03-18 16.8
1985-03-19 17.0
1985-03-20 18.4
1985-03-21 17.2
1985-03-22 18.4
1985-03-23 18.8
1985-03-24 16.5
1985-03-25 13.3
1985-03-26 12.2
1985-03-27 11.3
1985-03-28 13.8
1985-03-29 16.6
1985-03-30 14.0
1985-03-31 14.3
1985-04-01 16.4
1985-04-02 11.9
1985-04-03 15.7
1985-04-04 17.6
1985-04-05 17.5
1985-04-06 15.9
1985-04-07 16.2
1985-04-08 16.0
1985-04-09 15.9
1985-04-10 16.2
1985-04-11 16.2
1985-04-12 19.5
1985-04-13 18.2
1985-04-14 21.8
1985-04-15 15.1
1985-04-16 11.0
1985-04-17 8.1
1985-04-18 9.5
1985-04-19 9.3
1985-04-20 10.6
1985-04-21 6.3
1985-04-22 8.6
1985-04-23 6.8
1985-04-24 8.7
1985-04-25 8.4
1985-04-26 9.3
1985-04-27 10.0
1985-04-28 10.5
1985-04-29 12.0
1985-04-30 10.1
1985-05-01 9.4
1985-05-02 10.1
1985-05-03 8.0
1985-05-04 10.6
1985-05-05 13.6
1985-05-06 15.4
1985-05-07 9.0
1985-05-08 10.4
1985-05-09 11.0
1985-05-10 12.1
1985-05-11 13.4
1985-05-12 11.3
1985-05-13 6.7
1985-05-14 9.8
1985-05-15 10.8
1985-05-16 7.8
1985-05-17 4.5
1985-05-18 7.6
1985-05-19 6.9
1985-05-20 7.5
1985-05-21 8.5
1985-05-22 5.5
1985-05-23 9.5
1985-05-24 7.3
1985-05-25 5.4
1985-05-26 5.5
1985-05-27 8.1
1985-05-28 11.2
1985-05-29 13.4
1985-05-30 11.6
1985-05-31 10.1
1985-06-01 4.3
1985-06-02 5.5
1985-06-03 4.4
1985-06-04 5.9
1985-06-05 5.7
1985-06-06 8.2
1985-06-07 8.2
1985-06-08 4.2
1985-06-09 6.5
1985-06-10 10.0
1985-06-11 8.8
1985-06-12 6.6
1985-06-13 7.8
1985-06-14 10.1
1985-06-15 7.1
1985-06-16 7.7
1985-06-17 8.5
1985-06-18 7.3
1985-06-19 6.9
1985-06-20 8.4
1985-06-21 7.1
1985-06-22 6.3
1985-06-23 0.6
1985-06-24 1.6
1985-06-25 7.0
1985-06-26 8.3
1985-06-27 8.0
1985-06-28 10.2
1985-06-29 10.6
1985-06-30 10.4
1985-07-01 11.6
1985-07-02 11.0
1985-07-03 10.7
1985-07-04 7.3
1985-07-05 4.2
1985-07-06 4.7
1985-07-07 5.6
1985-07-08 7.7
1985-07-09 7.5
1985-07-10 4.9
1985-07-11 5.9
1985-07-12 7.8
1985-07-13 5.8
1985-07-14 7.0
1985-07-15 8.4
1985-07-16 6.2
1985-07-17 7.5
1985-07-18 4.8
1985-07-19 3.3
1985-07-20 3.2
1985-07-21 7.0
1985-07-22 8.4
1985-07-23 0.3
1985-07-24 0.3
1985-07-25 2.1
1985-07-26 8.5
1985-07-27 1.4
1985-07-28 4.1
1985-07-29 10.3
1985-07-30 6.6
1985-07-31 6.1
1985-08-01 7.0
1985-08-02 5.1
1985-08-03 6.3
1985-08-04 6.9
1985-08-05 11.4
1985-08-06 10.4
1985-08-07 10.3
1985-08-08 9.2
1985-08-09 7.2
1985-08-10 7.5
1985-08-11 4.0
1985-08-12 5.6
1985-08-13 6.7
1985-08-14 8.4
1985-08-15 11.0
1985-08-16 8.4
1985-08-17 8.8
1985-08-18 8.6
1985-08-19 8.3
1985-08-20 4.0
1985-08-21 3.6
1985-08-22 5.7
1985-08-23 10.6
1985-08-24 6.9
1985-08-25 10.0
1985-08-26 9.8
1985-08-27 7.2
1985-08-28 10.5
1985-08-29 3.6
1985-08-30 5.3
1985-08-31 8.4
1985-09-01 10.3
1985-09-02 7.9
1985-09-03 8.5
1985-09-04 7.9
1985-09-05 8.0
1985-09-06 9.8
1985-09-07 6.7
1985-09-08 4.8
1985-09-09 9.9
1985-09-10 12.8
1985-09-11 10.9
1985-09-12 11.7
1985-09-13 11.7
1985-09-14 11.0
1985-09-15 8.2
1985-09-16 7.5
1985-09-17 5.4
1985-09-18 7.2
1985-09-19 9.7
1985-09-20 8.4
1985-09-21 9.0
1985-09-22 8.7
1985-09-23 6.6
1985-09-24 11.6
1985-09-25 13.1
1985-09-26 6.7
1985-09-27 6.5
1985-09-28 7.7
1985-09-29 8.7
1985-09-30 7.2
1985-10-01 10.5
1985-10-02 8.6
1985-10-03 7.2
1985-10-04 11.4
1985-10-05 16.2
1985-10-06 6.1
1985-10-07 9.6
1985-10-08 11.1
1985-10-09 13.6
1985-10-10 10.7
1985-10-11 14.7
1985-10-12 11.6
1985-10-13 7.3
1985-10-14 8.0
1985-10-15 9.6
1985-10-16 16.0
1985-10-17 15.1
1985-10-18 12.8
1985-10-19 6.2
1985-10-20 7.1
1985-10-21 8.4
1985-10-22 10.0
1985-10-23 12.7
1985-10-24 10.0
1985-10-25 10.2
1985-10-26 6.5
1985-10-27 9.2
1985-10-28 11.9
1985-10-29 14.7
1985-10-30 11.4
1985-10-31 6.8
1985-11-01 7.4
1985-11-02 11.2
1985-11-03 9.2
1985-11-04 12.6
1985-11-05 16.0
1985-11-06 17.1
1985-11-07 15.3
1985-11-08 13.3
1985-11-09 15.4
1985-11-10 13.2
1985-11-11 14.4
1985-11-12 14.0
1985-11-13 15.5
1985-11-14 21.0
1985-11-15 10.0
1985-11-16 9.6
1985-11-17 12.0
1985-11-18 12.2
1985-11-19 11.3
1985-11-20 13.2
1985-11-21 10.5
1985-11-22 10.1
1985-11-23 8.8
1985-11-24 13.7
1985-11-25 16.2
1985-11-26 16.0
1985-11-27 14.0
1985-11-28 13.7
1985-11-29 12.5
1985-11-30 12.8
1985-12-01 12.3
1985-12-02 15.2
1985-12-03 15.0
1985-12-04 16.4
1985-12-05 16.1
1985-12-06 14.6
1985-12-07 18.2
1985-12-08 16.4
1985-12-09 16.6
1985-12-10 14.7
1985-12-11 15.8
1985-12-12 14.1
1985-12-13 13.5
1985-12-14 13.6
1985-12-15 13.7
1985-12-16 13.6
1985-12-17 12.1
1985-12-18 12.7
1985-12-19 13.3
1985-12-20 14.2
1985-12-21 15.0
1985-12-22 13.7
1985-12-23 12.0
1985-12-24 13.1
1985-12-25 13.2
1985-12-26 13.3
1985-12-27 11.5
1985-12-28 10.8
1985-12-29 12.0
1985-12-30 16.3
1985-12-31 14.4
1986-01-01 12.9
1986-01-02 13.8
1986-01-03 10.6
1986-01-04 12.6
1986-01-05 13.7
1986-01-06 12.6
1986-01-07 13.1
1986-01-08 15.4
1986-01-09 11.9
1986-01-10 13.8
1986-01-11 14.4
1986-01-12 15.2
1986-01-13 12.5
1986-01-14 12.2
1986-01-15 16.1
1986-01-16 14.6
1986-01-17 11.6
1986-01-18 13.1
1986-01-19 12.8
1986-01-20 15.2
1986-01-21 13.8
1986-01-22 15.0
1986-01-23 13.5
1986-01-24 11.8
1986-01-25 15.3
1986-01-26 13.5
1986-01-27 15.3
1986-01-28 13.8
1986-01-29 15.8
1986-01-30 17.4
1986-01-31 15.3
1986-02-01 14.6
1986-02-02 14.8
1986-02-03 10.7
1986-02-04 11.6
1986-02-05 13.6
1986-02-06 14.4
1986-02-07 11.8
1986-02-08 15.8
1986-02-09 16.0
1986-02-10 11.8
1986-02-11 14.5
1986-02-12 10.7
1986-02-13 14.2
1986-02-14 19.5
1986-02-15 21.4
1986-02-16 17.9
1986-02-17 17.4
1986-02-18 12.7
1986-02-19 13.8
1986-02-20 14.0
1986-02-21 15.0
1986-02-22 14.5
1986-02-23 13.1
1986-02-24 11.4
1986-02-25 12.5
1986-02-26 12.0
1986-02-27 13.4
1986-02-28 14.4
1986-03-01 17.7
1986-03-02 13.9
1986-03-03 13.3
1986-03-04 14.6
1986-03-05 16.4
1986-03-06 16.8
1986-03-07 20.0
1986-03-08 12.5
1986-03-09 12.7
1986-03-10 11.7
1986-03-11 12.7
1986-03-12 8.6
1986-03-13 11.9
1986-03-14 16.0
1986-03-15 15.2
1986-03-16 13.4
1986-03-17 11.6
1986-03-18 11.1
1986-03-19 15.6
1986-03-20 17.0
1986-03-21 18.5
1986-03-22 17.4
1986-03-23 16.5
1986-03-24 16.2
1986-03-25 16.1
1986-03-26 13.2
1986-03-27 18.0
1986-03-28 12.8
1986-03-29 11.7
1986-03-30 16.7
1986-03-31 15.6
1986-04-01 10.2
1986-04-02 10.3
1986-04-03 15.0
1986-04-04 18.0
1986-04-05 13.8
1986-04-06 10.5
1986-04-07 11.8
1986-04-08 7.2
1986-04-09 11.6
1986-04-10 7.4
1986-04-11 14.2
1986-04-12 12.2
1986-04-13 9.0
1986-04-14 12.3
1986-04-15 19.7
1986-04-16 12.8
1986-04-17 12.4
1986-04-18 12.0
1986-04-19 12.0
1986-04-20 11.1
1986-04-21 12.7
1986-04-22 14.2
1986-04-23 11.6
1986-04-24 12.0
1986-04-25 11.5
1986-04-26 8.3
1986-04-27 10.5
1986-04-28 9.0
1986-04-29 6.9
1986-04-30 9.4
1986-05-01 11.1
1986-05-02 9.1
1986-05-03 7.7
1986-05-04 10.0
1986-05-05 10.4
1986-05-06 8.0
1986-05-07 9.8
1986-05-08 12.4
1986-05-09 12.9
1986-05-10 12.3
1986-05-11 6.9
1986-05-12 10.5
1986-05-13 11.0
1986-05-14 9.7
1986-05-15 11.1
1986-05-16 11.5
1986-05-17 13.4
1986-05-18 10.9
1986-05-19 12.0
1986-05-20 12.1
1986-05-21 10.4
1986-05-22 10.0
1986-05-23 9.6
1986-05-24 11.3
1986-05-25 8.5
1986-05-26 6.3
1986-05-27 8.2
1986-05-28 10.7
1986-05-29 10.3
1986-05-30 9.5
1986-05-31 10.9
1986-06-01 10.9
1986-06-02 4.3
1986-06-03 5.2
1986-06-04 11.0
1986-06-05 11.6
1986-06-06 10.6
1986-06-07 9.4
1986-06-08 10.0
1986-06-09 9.6
1986-06-10 9.5
1986-06-11 9.7
1986-06-12 9.6
1986-06-13 7.0
1986-06-14 7.0
1986-06-15 6.8
1986-06-16 6.9
1986-06-17 8.0
1986-06-18 7.6
1986-06-19 8.6
1986-06-20 5.7
1986-06-21 5.5
1986-06-22 5.7
1986-06-23 5.7
1986-06-24 6.6
1986-06-25 6.0
1986-06-26 6.9
1986-06-27 7.7
1986-06-28 8.0
1986-06-29 3.9
1986-06-30 0.8
1986-07-01 2.8
1986-07-02 8.0
1986-07-03 9.8
1986-07-04 11.4
1986-07-05 8.6
1986-07-06 5.2
1986-07-07 6.6
1986-07-08 5.7
1986-07-09 4.6
1986-07-10 5.8
1986-07-11 7.0
1986-07-12 4.8
1986-07-13 4.4
1986-07-14 4.4
1986-07-15 7.9
1986-07-16 10.6
1986-07-17 5.0
1986-07-18 7.6
1986-07-19 9.2
1986-07-20 9.7
1986-07-21 8.8
1986-07-22 6.8
1986-07-23 9.4
1986-07-24 11.0
1986-07-25 2.5
1986-07-26 2.1
1986-07-27 5.4
1986-07-28 6.2
1986-07-29 7.8
1986-07-30 7.4
1986-07-31 9.3
1986-08-01 9.3
1986-08-02 9.5
1986-08-03 8.5
1986-08-04 10.0
1986-08-05 7.7
1986-08-06 9.3
1986-08-07 9.1
1986-08-08 3.5
1986-08-09 3.6
1986-08-10 2.5
1986-08-11 1.7
1986-08-12 2.7
1986-08-13 2.9
1986-08-14 5.3
1986-08-15 7.7
1986-08-16 9.1
1986-08-17 9.4
1986-08-18 7.3
1986-08-19 8.4
1986-08-20 9.2
1986-08-21 6.6
1986-08-22 9.7
1986-08-23 12.4
1986-08-24 10.2
1986-08-25 5.9
1986-08-26 7.1
1986-08-27 7.5
1986-08-28 9.7
1986-08-29 12.2
1986-08-30 5.6
1986-08-31 5.4
1986-09-01 8.3
1986-09-02 10.6
1986-09-03 9.1
1986-09-04 11.3
1986-09-05 10.9
1986-09-06 8.9
1986-09-07 6.3
1986-09-08 9.0
1986-09-09 6.1
1986-09-10 9.1
1986-09-11 9.6
1986-09-12 6.0
1986-09-13 10.0
1986-09-14 11.0
1986-09-15 6.2
1986-09-16 8.3
1986-09-17 11.3
1986-09-18 11.3
1986-09-19 6.7
1986-09-20 6.6
1986-09-21 11.4
1986-09-22 6.9
1986-09-23 10.6
1986-09-24 8.6
1986-09-25 11.3
1986-09-26 12.5
1986-09-27 9.9
1986-09-28 6.9
1986-09-29 5.5
1986-09-30 7.8
1986-10-01 11.0
1986-10-02 16.2
1986-10-03 9.9
1986-10-04 8.7
1986-10-05 10.5
1986-10-06 12.2
1986-10-07 10.6
1986-10-08 8.3
1986-10-09 5.5
1986-10-10 9.0
1986-10-11 6.4
1986-10-12 7.2
1986-10-13 12.9
1986-10-14 12.0
1986-10-15 7.3
1986-10-16 9.7
1986-10-17 8.4
1986-10-18 14.7
1986-10-19 9.5
1986-10-20 7.9
1986-10-21 6.8
1986-10-22 12.6
1986-10-23 5.2
1986-10-24 7.5
1986-10-25 8.7
1986-10-26 7.6
1986-10-27 9.0
1986-10-28 7.2
1986-10-29 10.7
1986-10-30 13.1
1986-10-31 13.9
1986-11-01 10.8
1986-11-02 10.4
1986-11-03 9.1
1986-11-04 16.0
1986-11-05 21.0
1986-11-06 16.2
1986-11-07 8.6
1986-11-08 9.2
1986-11-09 12.5
1986-11-10 9.7
1986-11-11 12.5
1986-11-12 10.3
1986-11-13 12.0
1986-11-14 11.0
1986-11-15 14.8
1986-11-16 15.0
1986-11-17 15.3
1986-11-18 10.3
1986-11-19 10.7
1986-11-20 10.5
1986-11-21 8.9
1986-11-22 8.1
1986-11-23 11.5
1986-11-24 12.8
1986-11-25 9.1
1986-11-26 14.6
1986-11-27 11.6
1986-11-28 11.2
1986-11-29 12.6
1986-11-30 7.5
1986-12-01 11.0
1986-12-02 14.5
1986-12-03 18.5
1986-12-04 15.4
1986-12-05 13.1
1986-12-06 16.3
1986-12-07 20.2
1986-12-08 11.5
1986-12-09 12.4
1986-12-10 10.9
1986-12-11 12.7
1986-12-12 12.2
1986-12-13 12.4
1986-12-14 9.8
1986-12-15 8.5
1986-12-16 14.7
1986-12-17 12.0
1986-12-18 10.3
1986-12-19 11.0
1986-12-20 10.2
1986-12-21 12.6
1986-12-22 11.6
1986-12-23 9.7
1986-12-24 13.4
1986-12-25 10.5
1986-12-26 14.7
1986-12-27 14.6
1986-12-28 14.2
1986-12-29 13.2
1986-12-30 11.7
1986-12-31 17.2
1987-01-01 12.3
1987-01-02 13.8
1987-01-03 15.3
1987-01-04 15.6
1987-01-05 16.2
1987-01-06 16.3
1987-01-07 16.8
1987-01-08 11.0
1987-01-09 8.5
1987-01-10 13.2
1987-01-11 13.0
1987-01-12 12.4
1987-01-13 13.0
1987-01-14 16.6
1987-01-15 12.0
1987-01-16 12.4
1987-01-17 15.0
1987-01-18 11.8
1987-01-19 11.6
1987-01-20 12.2
1987-01-21 13.7
1987-01-22 11.2
1987-01-23 12.4
1987-01-24 11.5
1987-01-25 13.8
1987-01-26 15.7
1987-01-27 12.9
1987-01-28 11.5
1987-01-29 11.0
1987-01-30 12.7
1987-01-31 14.9
1987-02-01 16.5
1987-02-02 12.8
1987-02-03 12.7
1987-02-04 12.7
1987-02-05 11.6
1987-02-06 13.3
1987-02-07 15.2
1987-02-08 16.4
1987-02-09 11.9
1987-02-10 15.1
1987-02-11 10.6
1987-02-12 13.6
1987-02-13 12.1
1987-02-14 16.0
1987-02-15 16.8
1987-02-16 16.6
1987-02-17 15.6
1987-02-18 15.2
1987-02-19 17.7
1987-02-20 21.0
1987-02-21 13.4
1987-02-22 10.5
1987-02-23 9.5
1987-02-24 12.0
1987-02-25 10.4
1987-02-26 11.5
1987-02-27 13.2
1987-02-28 15.0
1987-03-01 14.1
1987-03-02 12.4
1987-03-03 13.4
1987-03-04 12.5
1987-03-05 14.3
1987-03-06 17.6
1987-03-07 10.4
1987-03-08 9.9
1987-03-09 10.2
1987-03-10 11.3
1987-03-11 9.5
1987-03-12 11.8
1987-03-13 11.5
1987-03-14 10.5
1987-03-15 10.8
1987-03-16 13.0
1987-03-17 18.5
1987-03-18 18.7
1987-03-19 15.0
1987-03-20 13.0
1987-03-21 11.3
1987-03-22 13.0
1987-03-23 13.3
1987-03-24 11.0
1987-03-25 10.3
1987-03-26 13.0
1987-03-27 12.3
1987-03-28 15.6
1987-03-29 10.2
1987-03-30 10.8
1987-03-31 12.0
1987-04-01 13.3
1987-04-02 11.7
1987-04-03 12.5
1987-04-04 13.7
1987-04-05 14.9
1987-04-06 20.2
1987-04-07 16.3
1987-04-08 13.9
1987-04-09 10.1
1987-04-10 7.3
1987-04-11 14.0
1987-04-12 17.7
1987-04-13 16.3
1987-04-14 10.6
1987-04-15 9.7
1987-04-16 7.8
1987-04-17 10.4
1987-04-18 10.4
1987-04-19 14.1
1987-04-20 7.1
1987-04-21 8.1
1987-04-22 7.8
1987-04-23 10.6
1987-04-24 9.1
1987-04-25 9.0
1987-04-26 11.9
1987-04-27 17.1
1987-04-28 16.8
1987-04-29 13.5
1987-04-30 11.6
1987-05-01 7.0
1987-05-02 9.7
1987-05-03 9.9
1987-05-04 11.2
1987-05-05 11.3
1987-05-06 11.8
1987-05-07 9.9
1987-05-08 7.1
1987-05-09 9.6
1987-05-10 9.8
1987-05-11 10.6
1987-05-12 12.8
1987-05-13 16.5
1987-05-14 11.7
1987-05-15 12.3
1987-05-16 12.2
1987-05-17 11.8
1987-05-18 10.7
1987-05-19 10.2
1987-05-20 10.0
1987-05-21 8.3
1987-05-22 6.6
1987-05-23 9.5
1987-05-24 12.3
1987-05-25 7.6
1987-05-26 9.3
1987-05-27 5.0
1987-05-28 4.3
1987-05-29 6.4
1987-05-30 10.8
1987-05-31 7.8
1987-06-01 8.5
1987-06-02 9.7
1987-06-03 10.0
1987-06-04 11.0
1987-06-05 10.2
1987-06-06 6.6
1987-06-07 6.1
1987-06-08 5.9
1987-06-09 8.9
1987-06-10 13.0
1987-06-11 12.6
1987-06-12 5.4
1987-06-13 6.0
1987-06-14 7.8
1987-06-15 9.0
1987-06-16 4.2
1987-06-17 3.0
1987-06-18 4.5
1987-06-19 6.2
1987-06-20 11.9
1987-06-21 11.8
1987-06-22 9.4
1987-06-23 9.6
1987-06-24 9.4
1987-06-25 7.0
1987-06-26 8.9
1987-06-27 9.3
1987-06-28 6.8
1987-06-29 7.5
1987-06-30 8.0
1987-07-01 8.3
1987-07-02 2.7
1987-07-03 3.9
1987-07-04 4.1
1987-07-05 5.0
1987-07-06 5.8
1987-07-07 4.4
1987-07-08 4.1
1987-07-09 5.8
1987-07-10 9.1
1987-07-11 7.9
1987-07-12 5.0
1987-07-13 2.8
1987-07-14 4.7
1987-07-15 8.9
1987-07-16 5.4
1987-07-17 7.1
1987-07-18 9.0
1987-07-19 9.4
1987-07-20 6.3
1987-07-21 7.0
1987-07-22 6.4
1987-07-23 6.7
1987-07-24 1.5
1987-07-25 2.9
1987-07-26 4.8
1987-07-27 6.3
1987-07-28 5.7
1987-07-29 7.0
1987-07-30 8.8
1987-07-31 8.7
1987-08-01 9.0
1987-08-02 9.6
1987-08-03 8.0
1987-08-04 8.4
1987-08-05 8.1
1987-08-06 9.0
1987-08-07 5.3
1987-08-08 8.9
1987-08-09 8.7
1987-08-10 4.9
1987-08-11 7.0
1987-08-12 7.5
1987-08-13 7.0
1987-08-14 9.1
1987-08-15 11.8
1987-08-16 9.9
1987-08-17 5.6
1987-08-18 4.2
1987-08-19 4.3
1987-08-20 8.0
1987-08-21 5.1
1987-08-22 9.4
1987-08-23 9.1
1987-08-24 9.7
1987-08-25 10.6
1987-08-26 8.6
1987-08-27 10.1
1987-08-28 11.0
1987-08-29 9.7
1987-08-30 5.0
1987-08-31 6.1
1987-09-01 5.4
1987-09-02 5.8
1987-09-03 7.3
1987-09-04 6.3
1987-09-05 4.8
1987-09-06 7.6
1987-09-07 8.1
1987-09-08 9.5
1987-09-09 10.3
1987-09-10 7.0
1987-09-11 9.0
1987-09-12 10.2
1987-09-13 6.8
1987-09-14 9.3
1987-09-15 9.8
1987-09-16 10.7
1987-09-17 7.8
1987-09-18 9.2
1987-09-19 15.0
1987-09-20 7.8
1987-09-21 5.3
1987-09-22 9.5
1987-09-23 7.6
1987-09-24 14.0
1987-09-25 14.9
1987-09-26 14.9
1987-09-27 19.2
1987-09-28 17.0
1987-09-29 13.0
1987-09-30 11.2
1987-10-01 9.5
1987-10-02 10.3
1987-10-03 9.3
1987-10-04 11.3
1987-10-05 6.5
1987-10-06 12.0
1987-10-07 8.3
1987-10-08 8.7
1987-10-09 8.7
1987-10-10 10.2
1987-10-11 6.9
1987-10-12 4.9
1987-10-13 10.0
1987-10-14 7.6
1987-10-15 14.5
1987-10-16 13.2
1987-10-17 9.9
1987-10-18 10.1
1987-10-19 11.3
1987-10-20 10.4
1987-10-21 10.9
1987-10-22 9.2
1987-10-23 10.5
1987-10-24 11.4
1987-10-25 13.5
1987-10-26 9.8
1987-10-27 13.1
1987-10-28 9.7
1987-10-29 11.4
1987-10-30 9.9
1987-10-31 14.4
1987-11-01 19.0
1987-11-02 23.0
1987-11-03 15.4
1987-11-04 9.6
1987-11-05 10.8
1987-11-06 12.1
1987-11-07 11.0
1987-11-08 12.6
1987-11-09 14.7
1987-11-10 11.1
1987-11-11 10.1
1987-11-12 11.4
1987-11-13 13.0
1987-11-14 11.9
1987-11-15 9.5
1987-11-16 13.5
1987-11-17 15.2
1987-11-18 18.4
1987-11-19 24.1
1987-11-20 14.1
1987-11-21 10.7
1987-11-22 8.7
1987-11-23 13.3
1987-11-24 11.6
1987-11-25 9.9
1987-11-26 10.8
1987-11-27 11.5
1987-11-28 10.0
1987-11-29 13.9
1987-11-30 13.6
1987-12-01 11.9
1987-12-02 11.1
1987-12-03 8.2
1987-12-04 9.4
1987-12-05 12.7
1987-12-06 11.6
1987-12-07 11.0
1987-12-08 11.3
1987-12-09 13.4
1987-12-10 14.9
1987-12-11 15.2
1987-12-12 13.9
1987-12-13 15.0
1987-12-14 16.2
1987-12-15 17.7
1987-12-16 20.5
1987-12-17 14.7
1987-12-18 12.5
1987-12-19 10.9
1987-12-20 12.8
1987-12-21 12.7
1987-12-22 11.2
1987-12-23 11.4
1987-12-24 11.2
1987-12-25 12.1
1987-12-26 12.7
1987-12-27 16.2
1987-12-28 14.2
1987-12-29 14.3
1987-12-30 13.3
1987-12-31 16.7
1988-01-01 15.3
1988-01-02 14.3
1988-01-03 13.5
1988-01-04 15.0
1988-01-05 13.6
1988-01-06 15.2
1988-01-07 17.0
1988-01-08 18.7
1988-01-09 16.5
1988-01-10 17.4
1988-01-11 18.3
1988-01-12 18.3
1988-01-13 22.4
1988-01-14 21.4
1988-01-15 20.9
1988-01-16 17.6
1988-01-17 15.5
1988-01-18 16.6
1988-01-19 16.2
1988-01-20 15.6
1988-01-21 14.5
1988-01-22 14.0
1988-01-23 15.6
1988-01-24 12.3
1988-01-25 11.6
1988-01-26 12.6
1988-01-27 14.9
1988-01-28 17.3
1988-01-29 21.4
1988-01-30 23.4
1988-01-31 14.4
1988-02-01 14.1
1988-02-02 15.0
1988-02-03 14.5
1988-02-04 15.1
1988-02-05 13.9
1988-02-06 13.4
1988-02-07 9.2
1988-02-08 12.5
1988-02-09 15.1
1988-02-10 12.1
1988-02-11 14.5
1988-02-12 16.3
1988-02-13 16.5
1988-02-14 14.9
1988-02-15 13.2
1988-02-16 11.8
1988-02-17 13.6
1988-02-18 16.2
1988-02-19 14.1
1988-02-20 13.5
1988-02-21 15.0
1988-02-22 14.8
1988-02-23 16.2
1988-02-24 16.2
1988-02-25 13.3
1988-02-26 15.3
1988-02-27 18.4
1988-02-28 16.2
1988-02-29 16.3
1988-03-01 12.4
1988-03-02 15.6
1988-03-03 14.9
1988-03-04 14.8
1988-03-05 12.7
1988-03-06 14.2
1988-03-07 16.8
1988-03-08 16.7
1988-03-09 16.2
1988-03-10 14.5
1988-03-11 10.0
1988-03-12 12.6
1988-03-13 11.9
1988-03-14 11.8
1988-03-15 13.4
1988-03-16 14.5
1988-03-17 15.7
1988-03-18 15.3
1988-03-19 13.9
1988-03-20 13.7
1988-03-21 15.1
1988-03-22 15.6
1988-03-23 14.4
1988-03-24 13.9
1988-03-25 16.2
1988-03-26 16.7
1988-03-27 15.5
1988-03-28 16.4
1988-03-29 17.5
1988-03-30 18.2
1988-03-31 16.1
1988-04-01 16.5
1988-04-02 14.6
1988-04-03 16.4
1988-04-04 13.6
1988-04-05 15.9
1988-04-06 11.9
1988-04-07 14.7
1988-04-08 9.4
1988-04-09 6.6
1988-04-10 7.9
1988-04-11 11.0
1988-04-12 15.7
1988-04-13 15.2
1988-04-14 15.9
1988-04-15 10.6
1988-04-16 8.3
1988-04-17 8.6
1988-04-18 12.7
1988-04-19 10.5
1988-04-20 12.0
1988-04-21 11.1
1988-04-22 13.0
1988-04-23 12.4
1988-04-24 13.3
1988-04-25 15.9
1988-04-26 12.0
1988-04-27 13.7
1988-04-28 17.6
1988-04-29 14.3
1988-04-30 13.7
1988-05-01 15.2
1988-05-02 14.5
1988-05-03 14.9
1988-05-04 15.5
1988-05-05 16.4
1988-05-06 14.5
1988-05-07 12.6
1988-05-08 13.6
1988-05-09 11.2
1988-05-10 11.0
1988-05-11 12.0
1988-05-12 6.8
1988-05-13 10.6
1988-05-14 13.1
1988-05-15 13.5
1988-05-16 11.7
1988-05-17 13.2
1988-05-18 12.0
1988-05-19 10.4
1988-05-20 10.0
1988-05-21 8.2
1988-05-22 9.4
1988-05-23 10.3
1988-05-24 8.1
1988-05-25 8.7
1988-05-26 12.6
1988-05-27 10.9
1988-05-28 8.7
1988-05-29 9.3
1988-05-30 6.3
1988-05-31 7.8
1988-06-01 10.0
1988-06-02 11.0
1988-06-03 11.1
1988-06-04 12.6
1988-06-05 10.2
1988-06-06 11.1
1988-06-07 8.7
1988-06-08 9.5
1988-06-09 9.7
1988-06-10 8.2
1988-06-11 5.0
1988-06-12 6.5
1988-06-13 12.1
1988-06-14 8.9
1988-06-15 6.1
1988-06-16 2.8
1988-06-17 3.7
1988-06-18 6.8
1988-06-19 6.6
1988-06-20 7.0
1988-06-21 7.3
1988-06-22 7.9
1988-06-23 10.6
1988-06-24 8.1
1988-06-25 6.7
1988-06-26 8.0
1988-06-27 10.0
1988-06-28 6.7
1988-06-29 9.4
1988-06-30 9.3
1988-07-01 6.0
1988-07-02 5.8
1988-07-03 4.9
1988-07-04 5.0
1988-07-05 8.4
1988-07-06 12.3
1988-07-07 13.0
1988-07-08 11.4
1988-07-09 6.8
1988-07-10 7.6
1988-07-11 12.4
1988-07-12 7.1
1988-07-13 7.5
1988-07-14 10.0
1988-07-15 5.3
1988-07-16 6.3
1988-07-17 8.0
1988-07-18 8.3
1988-07-19 9.3
1988-07-20 9.5
1988-07-21 5.6
1988-07-22 7.0
1988-07-23 8.5
1988-07-24 8.5
1988-07-25 8.2
1988-07-26 8.5
1988-07-27 9.6
1988-07-28 9.7
1988-07-29 7.1
1988-07-30 8.4
1988-07-31 9.2
1988-08-01 9.8
1988-08-02 8.1
1988-08-03 9.4
1988-08-04 10.0
1988-08-05 5.1
1988-08-06 6.7
1988-08-07 6.9
1988-08-08 6.8
1988-08-09 8.6
1988-08-10 9.1
1988-08-11 3.9
1988-08-12 4.8
1988-08-13 8.4
1988-08-14 11.6
1988-08-15 12.1
1988-08-16 12.4
1988-08-17 10.0
1988-08-18 10.1
1988-08-19 9.7
1988-08-20 11.7
1988-08-21 7.9
1988-08-22 8.6
1988-08-23 7.7
1988-08-24 5.8
1988-08-25 8.7
1988-08-26 10.6
1988-08-27 6.7
1988-08-28 8.8
1988-08-29 9.7
1988-08-30 9.0
1988-08-31 11.8
1988-09-01 15.2
1988-09-02 10.0
1988-09-03 10.5
1988-09-04 5.5
1988-09-05 9.4
1988-09-06 8.8
1988-09-07 5.3
1988-09-08 13.0
1988-09-09 15.2
1988-09-10 13.2
1988-09-11 11.5
1988-09-12 6.8
1988-09-13 4.7
1988-09-14 5.2
1988-09-15 6.8
1988-09-16 10.7
1988-09-17 10.1
1988-09-18 10.0
1988-09-19 9.8
1988-09-20 5.5
1988-09-21 13.5
1988-09-22 16.6
1988-09-23 8.4
1988-09-24 8.2
1988-09-25 11.1
1988-09-26 10.8
1988-09-27 8.8
1988-09-28 10.8
1988-09-29 8.7
1988-09-30 12.4
1988-10-01 9.0
1988-10-02 13.5
1988-10-03 14.7
1988-10-04 10.9
1988-10-05 8.5
1988-10-06 6.0
1988-10-07 12.7
1988-10-08 11.1
1988-10-09 8.7
1988-10-10 12.3
1988-10-11 13.3
1988-10-12 5.6
1988-10-13 13.7
1988-10-14 8.5
1988-10-15 11.2
1988-10-16 8.7
1988-10-17 11.7
1988-10-18 12.5
1988-10-19 8.2
1988-10-20 15.6
1988-10-21 10.3
1988-10-22 11.4
1988-10-23 9.7
1988-10-24 6.3
1988-10-25 14.3
1988-10-26 11.3
1988-10-27 7.3
1988-10-28 12.8
1988-10-29 11.9
1988-10-30 14.3
1988-10-31 11.6
1988-11-01 13.2
1988-11-02 15.5
1988-11-03 14.1
1988-11-04 9.5
1988-11-05 7.2
1988-11-06 11.8
1988-11-07 16.8
1988-11-08 12.5
1988-11-09 9.4
1988-11-10 11.9
1988-11-11 10.3
1988-11-12 16.9
1988-11-13 17.5
1988-11-14 7.5
1988-11-15 8.6
1988-11-16 11.1
1988-11-17 11.5
1988-11-18 10.7
1988-11-19 15.7
1988-11-20 12.8
1988-11-21 13.0
1988-11-22 12.9
1988-11-23 14.3
1988-11-24 13.7
1988-11-25 12.1
1988-11-26 11.9
1988-11-27 11.8
1988-11-28 11.4
1988-11-29 10.3
1988-11-30 11.7
1988-12-01 12.0
1988-12-02 17.4
1988-12-03 16.8
1988-12-04 16.2
1988-12-05 13.0
1988-12-06 12.5
1988-12-07 12.4
1988-12-08 16.1
1988-12-09 20.2
1988-12-10 14.3
1988-12-11 11.0
1988-12-12 14.4
1988-12-13 15.7
1988-12-14 19.7
1988-12-15 20.7
1988-12-16 23.9
1988-12-17 16.6
1988-12-18 17.5
1988-12-19 14.9
1988-12-20 13.6
1988-12-21 11.9
1988-12-22 15.2
1988-12-23 17.3
1988-12-24 19.8
1988-12-25 15.8
1988-12-26 9.5
1988-12-27 12.9
1988-12-28 12.9
1988-12-29 14.8
1988-12-30 14.1
1989-01-01 14.3
1989-01-02 17.4
1989-01-03 18.5
1989-01-04 16.8
1989-01-05 11.5
1989-01-06 9.5
1989-01-07 12.2
1989-01-08 15.7
1989-01-09 16.3
1989-01-10 13.6
1989-01-11 12.6
1989-01-12 13.8
1989-01-13 12.1
1989-01-14 13.4
1989-01-15 17.3
1989-01-16 19.4
1989-01-17 16.6
1989-01-18 13.9
1989-01-19 13.1
1989-01-20 16.0
1989-01-21 14.5
1989-01-22 15.0
1989-01-23 12.6
1989-01-24 12.5
1989-01-25 15.2
1989-01-26 16.2
1989-01-27 16.5
1989-01-28 20.1
1989-01-29 20.6
1989-01-30 16.9
1989-01-31 16.5
1989-02-01 16.1
1989-02-02 14.4
1989-02-03 16.3
1989-02-04 15.7
1989-02-05 14.2
1989-02-06 13.2
1989-02-07 16.8
1989-02-08 18.5
1989-02-09 16.7
1989-02-10 15.3
1989-02-11 15.9
1989-02-12 15.2
1989-02-13 17.5
1989-02-14 18.3
1989-02-15 19.4
1989-02-16 19.4
1989-02-17 19.5
1989-02-18 20.5
1989-02-19 15.7
1989-02-20 15.0
1989-02-21 16.1
1989-02-22 14.3
1989-02-23 13.0
1989-02-24 16.2
1989-02-25 17.7
1989-02-26 13.2
1989-02-27 15.8
1989-02-28 18.5
1989-03-01 20.4
1989-03-02 22.0
1989-03-03 19.7
1989-03-04 19.6
1989-03-05 20.3
1989-03-06 18.3
1989-03-07 18.9
1989-03-08 20.3
1989-03-09 21.4
1989-03-10 18.3
1989-03-11 17.8
1989-03-12 17.7
1989-03-13 12.8
1989-03-14 15.1
1989-03-15 15.0
1989-03-16 14.8
1989-03-17 12.0
1989-03-18 12.5
1989-03-19 15.0
1989-03-20 17.1
1989-03-21 17.3
1989-03-22 16.9
1989-03-23 16.5
1989-03-24 13.6
1989-03-25 13.2
1989-03-26 9.4
1989-03-27 9.5
1989-03-28 11.8
1989-03-29 10.4
1989-03-30 9.7
1989-03-31 12.6
1989-04-01 13.3
1989-04-02 15.1
1989-04-03 14.2
1989-04-04 14.2
1989-04-05 19.2
1989-04-06 12.6
1989-04-07 14.2
1989-04-08 11.9
1989-04-09 13.9
1989-04-10 13.5
1989-04-11 15.3
1989-04-12 13.9
1989-04-13 14.0
1989-04-14 12.9
1989-04-15 8.5
1989-04-16 11.4
1989-04-17 10.9
1989-04-18 12.0
1989-04-19 8.6
1989-04-20 9.0
1989-04-21 9.6
1989-04-22 10.2
1989-04-23 9.8
1989-04-24 8.3
1989-04-25 11.0
1989-04-26 11.9
1989-04-27 14.0
1989-04-28 15.8
1989-04-29 14.5
1989-04-30 13.2
1989-05-01 14.2
1989-05-02 14.6
1989-05-03 11.8
1989-05-04 14.4
1989-05-05 10.4
1989-05-06 10.3
1989-05-07 10.8
1989-05-08 10.5
1989-05-09 9.5
1989-05-10 12.5
1989-05-11 13.7
1989-05-12 12.7
1989-05-13 11.9
1989-05-14 11.4
1989-05-15 9.7
1989-05-16 8.3
1989-05-17 8.1
1989-05-18 11.7
1989-05-19 11.6
1989-05-20 7.4
1989-05-21 5.2
1989-05-22 11.0
1989-05-23 9.5
1989-05-24 9.2
1989-05-25 10.7
1989-05-26 9.0
1989-05-27 10.2
1989-05-28 10.3
1989-05-29 12.1
1989-05-30 13.2
1989-05-31 6.6
1989-06-01 2.3
1989-06-02 1.4
1989-06-03 2.1
1989-06-04 6.6
1989-06-05 8.9
1989-06-06 7.8
1989-06-07 9.0
1989-06-08 10.3
1989-06-09 7.9
1989-06-10 7.2
1989-06-11 8.6
1989-06-12 8.8
1989-06-13 6.2
1989-06-14 9.5
1989-06-15 10.2
1989-06-16 9.7
1989-06-17 11.2
1989-06-18 10.2
1989-06-19 10.1
1989-06-20 8.1
1989-06-21 6.6
1989-06-22 5.0
1989-06-23 4.7
1989-06-24 5.3
1989-06-25 4.5
1989-06-26 2.3
1989-06-27 1.4
1989-06-28 0.5
1989-06-29 2.4
1989-06-30 8.0
1989-07-01 6.0
1989-07-02 7.1
1989-07-03 9.7
1989-07-04 6.9
1989-07-05 5.3
1989-07-06 7.0
1989-07-07 6.2
1989-07-08 7.0
1989-07-09 9.7
1989-07-10 8.0
1989-07-11 8.5
1989-07-12 7.1
1989-07-13 7.5
1989-07-14 3.3
1989-07-15 1.8
1989-07-16 2.6
1989-07-17 5.3
1989-07-18 5.8
1989-07-19 5.8
1989-07-20 7.2
1989-07-21 5.3
1989-07-22 1.6
1989-07-23 3.1
1989-07-24 5.3
1989-07-25 7.7
1989-07-26 4.2
1989-07-27 5.5
1989-07-28 9.0
1989-07-29 11.2
1989-07-30 8.0
1989-07-31 7.6
1989-08-01 3.7
1989-08-02 7.5
1989-08-03 8.1
1989-08-04 8.4
1989-08-05 7.1
1989-08-06 7.6
1989-08-07 7.6
1989-08-08 5.6
1989-08-09 7.0
1989-08-10 10.5
1989-08-11 7.3
1989-08-12 7.8
1989-08-13 5.8
1989-08-14 3.8
1989-08-15 5.8
1989-08-16 6.7
1989-08-17 6.6
1989-08-18 6.6
1989-08-19 9.0
1989-08-20 8.1
1989-08-21 5.1
1989-08-22 8.6
1989-08-23 7.0
1989-08-24 5.5
1989-08-25 7.4
1989-08-26 6.2
1989-08-27 4.2
1989-08-28 6.3
1989-08-29 7.0
1989-08-30 4.0
1989-08-31 8.0
1989-09-01 8.8
1989-09-02 8.8
1989-09-03 6.1
1989-09-04 8.6
1989-09-05 8.9
1989-09-06 7.8
1989-09-07 5.0
1989-09-08 7.0
1989-09-09 13.3
1989-09-10 7.9
1989-09-11 7.5
1989-09-12 8.3
1989-09-13 7.2
1989-09-14 6.5
1989-09-15 8.9
1989-09-16 7.4
1989-09-17 9.9
1989-09-18 9.3
1989-09-19 10.6
1989-09-20 8.6
1989-09-21 7.2
1989-09-22 12.6
1989-09-23 7.8
1989-09-24 6.3
1989-09-25 9.2
1989-09-26 5.8
1989-09-27 9.0
1989-09-28 5.0
1989-09-29 11.9
1989-09-30 13.4
1989-10-01 10.5
1989-10-02 6.2
1989-10-03 5.1
1989-10-04 9.5
1989-10-05 11.7
1989-10-06 9.2
1989-10-07 7.3
1989-10-08 9.7
1989-10-09 9.4
1989-10-10 10.0
1989-10-11 10.9
1989-10-12 11.0
1989-10-13 10.9
1989-10-14 8.0
1989-10-15 11.2
1989-10-16 7.5
1989-10-17 7.2
1989-10-18 13.2
1989-10-19 12.9
1989-10-20 9.4
1989-10-21 10.2
1989-10-22 9.5
1989-10-23 12.4
1989-10-24 10.2
1989-10-25 13.4
1989-10-26 11.6
1989-10-27 8.0
1989-10-28 9.0
1989-10-29 9.3
1989-10-30 13.5
1989-10-31 8.0
1989-11-01 8.1
1989-11-02 10.0
1989-11-03 8.5
1989-11-04 12.5
1989-11-05 15.0
1989-11-06 13.3
1989-11-07 11.0
1989-11-08 11.9
1989-11-09 8.3
1989-11-10 9.7
1989-11-11 11.3
1989-11-12 12.5
1989-11-13 9.4
1989-11-14 11.4
1989-11-15 13.2
1989-11-16 13.8
1989-11-17 16.0
1989-11-18 10.9
1989-11-19 11.9
1989-11-20 12.4
1989-11-21 13.2
1989-11-22 15.5
1989-11-23 21.6
1989-11-24 14.9
1989-11-25 14.4
1989-11-26 12.9
1989-11-27 13.1
1989-11-28 14.0
1989-11-29 17.9
1989-11-30 17.7
1989-12-01 16.3
1989-12-02 18.3
1989-12-03 13.7
1989-12-04 13.3
1989-12-05 10.6
1989-12-06 14.1
1989-12-07 16.0
1989-12-08 16.5
1989-12-09 14.1
1989-12-10 18.7
1989-12-11 16.2
1989-12-12 14.8
1989-12-13 12.6
1989-12-14 10.4
1989-12-15 12.2
1989-12-16 12.6
1989-12-17 12.1
1989-12-18 17.3
1989-12-19 16.4
1989-12-20 12.6
1989-12-21 12.3
1989-12-22 11.8
1989-12-23 12.0
1989-12-24 12.7
1989-12-25 16.4
1989-12-26 16.0
1989-12-27 13.3
1989-12-28 11.7
1989-12-29 10.4
1989-12-30 14.4
1989-12-31 12.7
1990-01-01 14.8
1990-01-02 13.3
1990-01-03 15.6
1990-01-04 14.5
1990-01-05 14.3
1990-01-06 15.3
1990-01-07 16.4
1990-01-08 14.8
1990-01-09 17.4
1990-01-10 18.8
1990-01-11 22.1
1990-01-12 19.0
1990-01-13 15.5
1990-01-14 15.8
1990-01-15 14.7
1990-01-16 10.7
1990-01-17 11.5
1990-01-18 15.0
1990-01-19 14.5
1990-01-20 14.5
1990-01-21 13.3
1990-01-22 14.3
1990-01-23 14.3
1990-01-24 20.5
1990-01-25 15.0
1990-01-26 17.1
1990-01-27 16.9
1990-01-28 16.9
1990-01-29 13.6
1990-01-30 16.4
1990-01-31 16.1
1990-02-01 12.0
1990-02-02 12.2
1990-02-03 14.8
1990-02-04 14.8
1990-02-05 14.4
1990-02-06 12.9
1990-02-07 13.4
1990-02-08 15.9
1990-02-09 16.1
1990-02-10 17.6
1990-02-11 15.6
1990-02-12 15.0
1990-02-13 13.0
1990-02-14 14.1
1990-02-15 17.3
1990-02-16 15.7
1990-02-17 18.6
1990-02-18 12.7
1990-02-19 14.0
1990-02-20 13.7
1990-02-21 16.3
1990-02-22 20.0
1990-02-23 17.0
1990-02-24 15.2
1990-02-25 16.5
1990-02-26 16.5
1990-02-27 17.3
1990-02-28 19.1
1990-03-01 19.3
1990-03-02 17.3
1990-03-03 19.0
1990-03-04 19.8
1990-03-05 19.3
1990-03-06 17.2
1990-03-07 14.2
1990-03-08 10.3
1990-03-09 13.0
1990-03-10 15.3
1990-03-11 15.0
1990-03-12 12.1
1990-03-13 9.2
1990-03-14 11.0
1990-03-15 15.0
1990-03-16 11.6
1990-03-17 11.6
1990-03-18 15.1
1990-03-19 15.0
1990-03-20 13.6
1990-03-21 12.5
1990-03-22 14.3
1990-03-23 16.0
1990-03-24 17.4
1990-03-25 16.9
1990-03-26 18.0
1990-03-27 20.6
1990-03-28 14.2
1990-03-29 10.9
1990-03-30 11.9
1990-03-31 13.3
1990-04-01 15.3
1990-04-02 14.7
1990-04-03 11.0
1990-04-04 12.2
1990-04-05 14.2
1990-04-06 17.0
1990-04-07 15.8
1990-04-08 15.2
1990-04-09 15.1
1990-04-10 14.7
1990-04-11 18.5
1990-04-12 16.4
1990-04-13 18.4
1990-04-14 15.1
1990-04-15 9.9
1990-04-16 10.2
1990-04-17 12.6
1990-04-18 13.2
1990-04-19 11.5
1990-04-20 13.8
1990-04-21 14.5
1990-04-22 14.7
1990-04-23 11.2
1990-04-24 12.7
1990-04-25 13.7
1990-04-26 11.5
1990-04-27 10.4
1990-04-28 8.9
1990-04-29 11.1
1990-04-30 9.5
1990-05-01 13.0
1990-05-02 13.9
1990-05-03 12.6
1990-05-04 14.3
1990-05-05 16.0
1990-05-06 13.3
1990-05-07 7.0
1990-05-08 4.9
1990-05-09 6.9
1990-05-10 13.7
1990-05-11 10.6
1990-05-12 12.3
1990-05-13 11.1
1990-05-14 10.2
1990-05-15 9.5
1990-05-16 8.9
1990-05-17 13.4
1990-05-18 9.1
1990-05-19 9.4
1990-05-20 8.7
1990-05-21 5.8
1990-05-22 4.5
1990-05-23 7.2
1990-05-24 10.0
1990-05-25 10.5
1990-05-26 10.7
1990-05-27 8.2
1990-05-28 6.1
1990-05-29 4.5
1990-05-30 6.1
1990-05-31 9.8
1990-06-01 9.7
1990-06-02 8.2
1990-06-03 8.4
1990-06-04 8.5
1990-06-05 10.4
1990-06-06 6.8
1990-06-07 6.0
1990-06-08 6.6
1990-06-09 7.8
1990-06-10 10.3
1990-06-11 7.2
1990-06-12 7.4
1990-06-13 11.4
1990-06-14 5.4
1990-06-15 4.4
1990-06-16 6.4
1990-06-17 9.3
1990-06-18 7.7
1990-06-19 8.1
1990-06-20 8.3
1990-06-21 9.1
1990-06-22 7.7
1990-06-23 10.6
1990-06-24 8.2
1990-06-25 7.9
1990-06-26 5.2
1990-06-27 5.9
1990-06-28 3.7
1990-06-29 5.6
1990-06-30 9.4
1990-07-01 7.4
1990-07-02 7.3
1990-07-03 7.7
1990-07-04 7.7
1990-07-05 9.3
1990-07-06 4.4
1990-07-07 5.7
1990-07-08 10.2
1990-07-09 10.2
1990-07-10 9.3
1990-07-11 5.4
1990-07-12 5.0
1990-07-13 7.6
1990-07-14 9.6
1990-07-15 10.4
1990-07-16 11.2
1990-07-17 9.1
1990-07-18 11.2
1990-07-19 6.8
1990-07-20 8.3
1990-07-21 9.7
1990-07-22 9.6
1990-07-23 9.8
1990-07-24 10.8
1990-07-25 9.2
1990-07-26 6.5
1990-07-27 8.1
1990-07-28 7.3
1990-07-29 7.9
1990-07-30 6.0
1990-07-31 5.0
1990-08-01 6.8
1990-08-02 9.8
1990-08-03 5.7
1990-08-04 8.6
1990-08-05 10.6
1990-08-06 7.8
1990-08-07 7.7
1990-08-08 8.6
1990-08-09 6.5
1990-08-10 6.9
1990-08-11 6.4
1990-08-12 8.5
1990-08-13 7.8
1990-08-14 9.3
1990-08-15 8.4
1990-08-16 7.8
1990-08-17 7.4
1990-08-18 7.7
1990-08-19 8.9
1990-08-20 9.7
1990-08-21 9.9
1990-08-22 6.1
1990-08-23 6.6
1990-08-24 7.6
1990-08-25 7.4
1990-08-26 8.0
1990-08-27 2.1
1990-08-28 5.9
1990-08-29 11.6
1990-08-30 8.6
1990-08-31 7.9
1990-09-01 6.0
1990-09-02 9.5
1990-09-03 8.6
1990-09-04 7.6
1990-09-05 10.4
1990-09-06 10.3
1990-09-07 7.5
1990-09-08 3.0
1990-09-09 5.3
1990-09-10 10.5
1990-09-11 14.6
1990-09-12 12.6
1990-09-13 9.8
1990-09-14 7.2
1990-09-15 10.1
1990-09-16 10.4
1990-09-17 3.7
1990-09-18 7.3
1990-09-19 11.6
1990-09-20 16.3
1990-09-21 9.6
1990-09-22 6.8
1990-09-23 5.2
1990-09-24 10.6
1990-09-25 16.3
1990-09-26 9.8
1990-09-27 4.6
1990-09-28 11.1
1990-09-29 8.7
1990-09-30 10.0
1990-10-01 11.3
1990-10-02 10.5
1990-10-03 9.9
1990-10-04 11.0
1990-10-05 14.0
1990-10-06 9.2
1990-10-07 9.8
1990-10-08 6.0
1990-10-09 9.8
1990-10-10 9.2
1990-10-11 11.8
1990-10-12 10.3
1990-10-13 7.5
1990-10-14 7.7
1990-10-15 15.8
1990-10-16 14.6
1990-10-17 10.5
1990-10-18 11.3
1990-10-19 10.9
1990-10-20 6.4
1990-10-21 10.9
1990-10-22 9.0
1990-10-23 10.9
1990-10-24 12.4
1990-10-25 11.6
1990-10-26 13.3
1990-10-27 14.4
1990-10-28 18.4
1990-10-29 13.6
1990-10-30 14.9
1990-10-31 14.8
1990-11-01 15.4
1990-11-02 11.8
1990-11-03 13.0
1990-11-04 11.1
1990-11-05 12.5
1990-11-06 18.3
1990-11-07 19.2
1990-11-08 15.4
1990-11-09 13.1
1990-11-10 11.5
1990-11-11 8.6
1990-11-12 12.6
1990-11-13 13.8
1990-11-14 14.6
1990-11-15 13.2
1990-11-16 12.3
1990-11-17 8.8
1990-11-18 10.7
1990-11-19 9.9
1990-11-20 8.3
1990-11-21 15.0
1990-11-22 12.2
1990-11-23 10.5
1990-11-24 11.1
1990-11-25 13.0
1990-11-26 12.9
1990-11-27 8.8
1990-11-28 14.7
1990-11-29 14.7
1990-11-30 12.7
1990-12-01 13.3
1990-12-02 13.2
1990-12-03 16.2
1990-12-04 17.3
1990-12-05 20.5
1990-12-06 20.2
1990-12-07 19.4
1990-12-08 15.5
1990-12-09 14.1
1990-12-10 11.0
1990-12-11 11.1
1990-12-12 14.0
1990-12-13 11.4
1990-12-14 12.5
1990-12-15 13.4
1990-12-16 13.6
1990-12-17 13.9
1990-12-18 17.2
1990-12-19 14.7
1990-12-20 15.4
1990-12-21 13.1
1990-12-22 13.2
1990-12-23 13.9
1990-12-24 10.0
1990-12-25 12.9
1990-12-26 14.6
1990-12-27 14.0
1990-12-28 13.6
1990-12-29 13.5
1990-12-30 15.7
1990-12-31 13.0
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