{ "metadata": { "name": "" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# IPAM - Graduate Summer School: Deep Learning, Feature Learning\n", "\n", "- [website](http://www.ipam.ucla.edu/programs/gss2012/)\n", "- [source code](https://github.com/clementfarabet/ipam-tutorials)\n", "- [videos](https://www.ipam.ucla.edu/schedule.aspx?pc=gss2012)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "Deep Learning in Python: Related Work\n", "=====================================\n", "\n", "There are a lot of resources to help you do deep learning in Python. I've organized this page into sections:\n", " * Deep Learning Software\n", " * Scientific Software in Python\n", " * Scientific Python Tutorials\n", "\n", "\n", "Deep Learning Software\n", "----------------------\n", "\n", "There are several software packages to be aware of, which do not necessarily have Python bindings but which may grow to include them. You don't *always* have to use Python!\n", "\n", "* [Torch7](XXX) - Deep Learning software based on C and Lua\n", "\n", "* [CudaConvNet](XXX) - Alex Krizhevsky's software for deep convolutional nets.\n", "\n", "* [PyLearn2](XXX) - Deep Learning Framework in Python based on Theano.\n", "\n", "\n", "Python Software Ecosystem\n", "-------------------------\n", "\n", "Deep learning can take your research in many directions, and it's nice that\n", "Python has a lot of projects to help you on your way:\n", "\n", "* [Python](http://python.org/) - the standard library is surprisingly comprehensive, get to\n", " know what's in it.\n", "\n", "* [NumPy](http://numpy.scipy.org/) - the defacto official n-dimensional array data type for Python.\n", " Doing numerical work in Python, you will use these *all the time*.\n", "\n", "* [SciPy](http://www.scipy.org) - a library of many algorithms and utilities\n", " that are useful across a broad range of scientific work. I originally captioned the following \"especially useful\" but the list grew to\n", " include almost the entire library:\n", "\n", " * [scipy.io](http://docs.scipy.org/doc/scipy/reference/io.html) - read and write various matrix formats including MATLAB\n", "\n", " * [scipy.linalg](http://docs.scipy.org/doc/scipy/reference/linalg.html) - decompositions, inverses, etc.\n", "\n", " * [scipy.ndimage](http://docs.scipy.org/doc/scipy/reference/ndimage.html) - basic image processing\n", "\n", " * [scipy.optimize](http://docs.scipy.org/doc/scipy/reference/optimize.html) - 1-D and N-D optimization algorithms\n", "\n", " * [scipy.signal](http://docs.scipy.org/doc/scipy/reference/signal.html) - signal processing\n", "\n", " * [scipy.sparse](http://docs.scipy.org/doc/scipy/reference/sparse.html) - several sparse matrix types\n", "\n", " * [scipy.special](http://docs.scipy.org/doc/scipy/reference/special.html) - special functions (e.g. erf)\n", "\n", " * [scipy.stats](http://docs.scipy.org/doc/scipy/reference/stats.html) - pdfs, cdfs, sampling algorithms, tests\n", "\n", "* [IPython](http://ipython.org/) is a feature-rich Python interpreter.\n", "\n", "* [Matplotlib](http://matplotlib.sourceforge.net/) is the most widely-used plotting library for Python. It provides an\n", " interface similar to that of MATLAB or R. It is sometimes annoying, and not as flashy as say,\n", " [d3](http://d3js.org/) but it is the workhorse of data visualization in Python.\n", "* [Theano](http://www.deeplearning.net/software/theano/) - an array expression compiler, with automatic differentiation and behind-the-scenes GPU execution.\n", "\n", "* **[PyAutoDiff](https://github.com/jaberg/pyautodiff) - provides automatic differentiation for code using NumPy.\n", " Currently this is a Theano front-end, but the API has been designed to keep Theano out of the sight of client code.**\n", "\n", "* [pandas](http://pandas.pydata.org/) - machine learning algorithms and types, mainly for working with time series.\n", " Includes R-like data structures (like R's data frame).\n", "\n", "* [Cython](http://cython.org/) - a compiler for a more strongly-typed Python dialect, very useful for optimizing numeric Python code.\n", "\n", "* **[Copperhead](http://copperhead.github.com) - compiles natural python syntax to GPU kernels**\n", "\n", "* [numexpr](http://code.google.com/p/numexpr/) - compiles expression strings to perform loop-fused element-wise computations\n", "\n", "* [scikit-learn](http://scikit-learn.org/stable/) - well-documented and well-tested implementations of many standard ML algorithms.\n", "\n", "* [scikits-image](http://scikits-image.org/) - image-processing (edge detection, color spaces, many standard algorithms)\n", "\n", "* [skdata](http://jaberg.github.com/skdata) - data sets for machine learning\n", "\n", "\n", "Scientific Python Tutorials\n", "---------------------------\n", "There are several great resources to help you get oriented to use Python for\n", "numeric scientific work.\n", "\n", "* [Unix/Python/NumPy](http://www.cs.utah.edu/~hal/courses/2009F_ML/p0/) - This\n", " is a really high-level intro to unix and Python. There is tons of\n", " documentation for these things and they're kind of out of scope of these tutorials--by all means dig around the net for more background if you want\n", " to know more.\n", "\n", "* [NumPy basics](http://www.scipy.org/Tentative_NumPy_Tutorial)\n", "\n", "* [SciPy Getting Started](http://www.scipy.org/Getting_Started)\n", "\n", "* [Deep Learning Tutorials](http://www.deeplearning.net/tutorial/) provide code-centered introductions to\n", " Deep Learning algorithms and architectures.\n", " They make heavy use of Theano, and illustrate good practices\n", " of programming with Theano.\n" ] }, { "cell_type": "code", "collapsed": false, "input": [ "%pylab inline" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Populating the interactive namespace from numpy and matplotlib\n" ] } ], "prompt_number": 3 }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Dataset from skdata\n", "\n", "Running the following should show a picture of a boat, though it may have to first download the CIFAR-10 XXX data set in order to do it. Once the data set has been downloaded, it is stored in ~/.skdata/cifar10 for re-use. Browse through the data set by changing the index into x, or modify the code fragment to show more than one picture at a time. We'll also be using MNIST XXX and the Google Street View House Numbers (SVHN XXX) data sets." ] }, { "cell_type": "code", "collapsed": false, "input": [ "from skdata.cifar10.views import OfficialImageClassificationTask\n", "task = OfficialImageClassificationTask()\n", "print 'training set size', task.train.x.shape\n", "print 'Image shape:', task.train.x[8].shape\n", "imshow(task.train.x[1000])" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "training set size (50000, 32, 32, 3)\n", "Image shape: (32, 32, 3)\n" ] }, { "metadata": {}, "output_type": "pyout", "prompt_number": 4, "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": 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rIyWX9ZGEc3tD44Z1bjhZlWDp0GJ66HDruPvrIN9ReoQ/w0wT274iHQBAqxtZ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9QXYQAVAXypPK9dp6Sa2sJ172GjKqoYxZQte8PccmxdjWuB5YfBwD1uHOi695WGo9TA+6T8RKmS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\n", "text": [ "" ] } ], "prompt_number": 4 }, { "cell_type": "code", "collapsed": false, "input": [ "from skdata.mnist.views import OfficialImageClassification\n", "task = OfficialImageClassification()\n", "print task.all_images.shape\n", "imshow(task.all_images[1000].reshape((28, -1)))" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "(70000, 28, 28, 1)\n" ] }, { "metadata": {}, "output_type": "pyout", "prompt_number": 3, "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": 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Wm9HDD/Qh5Ko4BboA3YBagD4AdZBbfQDRaayraN0c7CHOHdG5W2zcLU7sLXQHRQGmhUJC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\ncL7A+goXIi4EfPCEoIhRknY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29IG0Ib+27htW/laW/bG08CKt1VUC5gIWAubysMVO4VuJ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\nAElFTkSuQmCC\n", "text": [ "" ] } ], "prompt_number": 3 }, { "cell_type": "code", "collapsed": false, "input": [ "from skdata.svhn.view import CroppedDigitsView2\n", "data_view = CroppedDigitsView2(x_dtype=\"float32\", n_train=1000)\n", "imshow(data_view.train.x[1].reshape(32,32,3))" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 4, "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": 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rc8PKd8kK8FvgTuk56st7X1wg8ZvsDuyJ3YPpyDfR1RYBfgZ7TLBxpiewnzWH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"text": [ "" ] } ], "prompt_number": 4 }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Linear SVM\n", "\n", "The linear SVM is a linear classifier parameterized by a matrix weights $\\mathbf{W}$ and a bias vector $\\mathbf{b}$. We will develop the multiclass \"one vs. all\" linear svm, which is a concatenation of binary svm. We will suppose that our label set is the non-negative integers up to some maximum L\n", "\n", "There are other ways of setting up a multi-class SVM, such as using the Crammer-Singer loss or [LaRank](http://www.machinelearning.org/proceedings/icml2007/papers/381.pdf). Despite theoretical liminations (lack of [consistency!?](http://metaoptimize.com/qa/questions/6543/one-vs-all-multi-class-svm)) the approach is widely used. \n", "See [John Langford's page on machine learning reductions](http://hunch.net/~jl/projects/reductions/reductions.html)\n", "for more perspectives on multi-class SVMs.\n", "\n", "**Deep architectures for classification are typically formed by classifying learned features with a linear classifier such as an SVM or logistic regression model.** We will begin our exploration of deep earchitectures with the shallowest model of all: the linear SVM.\n", "\n", "The Deep Learning Tutorials provide a good complementary introduction to \n", "[logistic regression](http://deeplearning.net/tutorial/logreg.html)." ] }, { "cell_type": "code", "collapsed": false, "input": [ "import logging\n", "import sys, time\n", "\n", "import numpy as np\n", "from numpy import random\n", "from skdata import mnist\n", "import autodiff" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 6 }, { "cell_type": "code", "collapsed": false, "input": [ "dtype = 'float64' ## for mac, use 'float32' for GPU\n", "n_examples = 10000\n", "n_classes = 10\n", "img_shape = (28, 28)\n", "\n", "data_view = mnist.views.OfficialImageClassification(x_dtype=dtype)\n", "x = data_view.all_images[:n_examples].reshape((n_examples, -1))\n", "y = data_view.all_labels[:n_examples]\n", "print x.shape, y.shape\n", "print x.min(), x.max()" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "(10000, 784) (10000,)\n", "0.0 255.0\n" ] } ], "prompt_number": 9 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Supposing that our input is a vector $\\mathbf{x}$, the prediction $l^*$ of the OVA-SVM is the *argmax* of the affine function\n", "\n", "$\n", "l^* = \\operatorname*{argmax}_{l=0}^{L} (\\mathbf{x W}_l + \\mathbf{b}_l)\n", "$\n", "\n", "So here $\\mathbf{W}$ is a group of column vectors (transpose of design matrix), and $\\mathbf{x}$ is a group of row vectors (e.g. design matrix format) - ONE Advantage of this formatting is that the result is still of the design matrix format, which means the different instance will be the different rows, and it is easy to do boardcasting in numpy (row-wise) - the point is, keep the main axis row-wise" ] }, { "cell_type": "code", "collapsed": false, "input": [ "def ova_prediction(W, b, x):\n", " \"\"\"\n", " W: weight matrix, weights are column vectors\n", " b: single vectors\n", " x: design matrix, instances are row vectors\n", " \"\"\"\n", " return np.argmax(np.dot(x, W) + b, axis = 1)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 7 }, { "cell_type": "markdown", "metadata": {}, "source": [ "***Training an SVM***\n", "\n", "The most standard way of training an SVM is to maximize the *margin* on training data. The margin is always defined in the two-class cases where $y \\in \\{-1,+1\\}$ as $y*(\\mathbf{xW}+\\mathbf{b})$.\n", "\n", "The affine function parameterized by $W$ and $b$ defines a hyper-plane where $xW + b = 0$ that the SVM interprets as a decision surface. The margin defines how far away $xW+b$ is from being on the wrong side of the decision surface - large positive values mean there is a safe distance, negative values mean that the decision surface is actually incorrect for the given x.\n", "\n", "The most standard sense in which SVMs maximize margin is via the *hinge* loss. The hinge loss of margin value $u$ is defined as \n", "\n", "$$hing(u) = max(0, 1-u)$$\n", "\n", "That explains why SVM prefers -1, +1 encoding of classification\n", "\n", "By maximizing the average hinge loss of the margin of training examples, we maximize a tight convex upper bound on the mis-classification rate (zero-one loss), can get a good binary classifier using fast algorithms for convex optimization" ] }, { "cell_type": "code", "collapsed": false, "input": [ "def hinge(u):\n", " \"\"\"\n", " u: margin defined in svm, it can be as small (negative)\n", " as it wants, but when it gets bigger than 1, it is out\n", " of our interest. That makes sense if we think of them \n", " as PROBABILITIES. 1 defines Geometrical margin.\n", " On the contrary, 0-1 error only cares about if margin is\n", " bigger than 0\n", " \"\"\"\n", " ## use np.maximum to keep vector friendly\n", " return np.maximum(0, 1 - u)\n", "\n", "## plotting hinge\n", "ugrid = np.arange(-5, 5, .1)\n", "plot(ugrid, hinge(ugrid), label = 'hinge loss')\n", "plot(ugrid, ugrid < 0, label = 'zeron-one loss') \n", "legend(loc=\"best\")" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 16, "text": [ "" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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"text": [ "" ] } ], "prompt_number": 16 }, { "cell_type": "markdown", "metadata": {}, "source": [ "![Plotting of Loss in -1, +1 setting](http://research.microsoft.com/en-us/um/people/manik/projects/trade-off/figs/hinge.PNG)\n", "\n", "Figure 7.5 from Chris Bishop's PRML book. The Hinge Loss $E(z) = max(0,1-z)$ is plotted in blue, the Log Loss in red, the Square Loss in green and the misclassification error in black." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "***Multiclass SVM***\n", "\n", "In the multiclass case, it is not clear what the \"correct\" margin definition should be, and several useful ones have been proposed.\n", "\n", "In the OVA-SVM setting, the training objective is defined by L independent SVMs. We will train an OVA-SVM by converting the integer-valued labels y to $Y_{N\\times{L}} \\in \\{-1, +1\\}$ and training $L$ SVMs at once. The $L$ columns of $Y$ represent binary classifiation tasks. The $L$ columns of W and $L$ elements of $b$ store the parameters of $L$ SVMs.\n", "\n", "As such, the *unregularized* training objective is\n", "$$\n", "\\mathcal{L}(\\mathcal{D}; W, \\mathbf{b}) =\n", "\\frac{1}{N}\n", "\\sum_{(\\mathbf{x}^{(i)}, Y^{(i)}) \\in \\mathcal{D}}\n", "~\n", "\\sum_{l=1}^{L}\n", "~\n", "\\max \\left( 0, 1 - Y^{(i)}_l (\\mathbf{x}^{(i)} W_l + \\mathbf{b}_l) \\right)\n", "$$" ] }, { "cell_type": "code", "collapsed": false, "input": [ "## prepare a \"1-hot\" version of the labels, denoted Y in the math\n", "y11 = -1 * np.ones((y.shape[0], n_classes)).astype(dtype)\n", "print dtype\n", "y11[arange(len(y)), y] = 1" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "float64\n" ] } ], "prompt_number": 10 }, { "cell_type": "code", "collapsed": false, "input": [ "## alternatively using sklearn.preprocessing.LabelBinarizer\n", "from sklearn.preprocessing import LabelBinarizer\n", "y1 = LabelBinarizer(neg_label=-1, pos_label=+1).fit_transform(y).astype(dtype)\n", "\n", "assert all(y11 == y1)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 11 }, { "cell_type": "code", "collapsed": false, "input": [ "def ova_svm_cost(W, b, x, y1):\n", " \"\"\"\n", " One vs. all linear SVM loss\n", " x: nrow x nfeat\n", " y1: nrow x nlabel\n", " w: nfeat x nlabel\n", " b: nlabel\n", " x * w + b: nrow x nlabel\n", " \"\"\"\n", " margin = y1 * (np.dot(x, W) + b)\n", " ## mean among all instances\n", " ## sum over all L SVMs\n", " cost = hinge(margin).mean(axis = 0).sum()\n", " return cost" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 12 }, { "cell_type": "markdown", "metadata": {}, "source": [ "The training itself consists of minizing the objective $L(D; W,b)$ w.r.t. $W$ and $b$. **The criterion is convex, so it doesnt much matter where we start. Zero works well in practice.** " ] }, { "cell_type": "code", "collapsed": false, "input": [ "## initialize the model\n", "W = np.zeros((x.shape[1], n_classes), dtype = dtype)\n", "b = np.zeros(n_classes, dtype = dtype)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 13 }, { "cell_type": "markdown", "metadata": {}, "source": [ "There are many specialized SVM solvers available, but they tend to be most helpful for non-linear SVMs. **In the linear case a simple combination of stochastic gradient descent (SGD) and BFGS can be very effective.**\n", "\n", "** SGD not implemented yet in latest autodiff **" ] }, { "cell_type": "code", "collapsed": false, "input": [ "## Do n online loops through the data set doing SGD\n", "## This can be faster at the beginning than L-BFGS\n", "tic = time.time()\n", "batch_size = 1\n", "n_epochs = 1\n", "n_batches = n_examples / batch_size\n", "\n", "W, b = autodiff.fmin_sgd(ova_svm_cost, (W, b),\n", " streams={\n", " 'x': x.reshape((n_batches, online_batch_size, x.shape[1])),\n", " 'y1': y1.reshape((n_batches, online_batch_size, y1.shape[1]))},\n", " loops=n_epochs,\n", " stepsize=0.001,\n", " print_interval=1000,\n", " )" ], "language": "python", "metadata": {}, "outputs": [ { "ename": "AttributeError", "evalue": "'module' object has no attribute 'fmin_sgd'", "output_type": "pyerr", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0mn_batches\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mn_examples\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0mbatch_size\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m W, b = autodiff.fmin_sgd(ova_svm_cost, (W, b),\n\u001b[0m\u001b[1;32m 9\u001b[0m streams={\n\u001b[1;32m 10\u001b[0m \u001b[0;34m'x'\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreshape\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mn_batches\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0monline_batch_size\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;31mAttributeError\u001b[0m: 'module' object has no attribute 'fmin_sgd'" ] } ], "prompt_number": 14 }, { "cell_type": "code", "collapsed": false, "input": [ "## Using sklearn.linear_model.SGDClassifier\n", "W = np.zeros((x.shape[1], n_classes), dtype = dtype)\n", "b = np.zeros(n_classes, dtype = dtype)\n", "\n", "from sklearn.linear_model import SGDClassifier\n", "from sklearn.preprocessing import StandardScaler, MinMaxScaler\n", "## normalize input\n", "## IT SEEMS THAT THE MinMaxScaler produces\n", "## results that are more similiar to the one \n", "## implemented in the tuturial\n", "## WHEREAS StandardScalar produces different results\n", "#x_tile = StandardScaler().fit_transform(x)\n", "x_tile = MinMaxScaler().fit_transform(x)\n", "\n", "sgd = SGDClassifier(loss = 'hinge', alpha = 0, \n", " learning_rate = \"constant\", eta0 = 0.001,\n", " n_iter = 1,\n", " n_jobs=-1, verbose = 0)\n", "sgd.fit(x_tile, y)\n", "W = sgd.coef_.T\n", "b = sgd.intercept_\n", "print 'sgd final cost', ova_svm_cost(W, b, x_tile, y1), sgd.score(x_tile, y)\n", "import util\n", "util.show_filters(W.T, img_shape, (2, 5))" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "sgd final cost 0.878557437033 " ] }, { "output_type": "stream", "stream": "stdout", "text": [ "0.8733\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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WLQMALFu2DPfee+/ItjIQCAQCAEqI0z58+DDOPPNMbN++Hd/+9rcxc+ZM9Pf3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\nMgBy1SczUEbClZbf6THaBcs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"text": [ "" ] } ], "prompt_number": 17 }, { "cell_type": "code", "collapsed": false, "input": [ "## L-BFGS implementation\n", "W = np.zeros((x.shape[1], n_classes), dtype = dtype)\n", "b = np.zeros(n_classes, dtype = dtype)\n", "print x.dtype, y1.dtype, W.dtype, b.dtype\n", "def batch_cost(W, b):\n", " return ova_svm_cost(W, b, x, y1)\n", "\n", "W, b = autodiff.optimize.fmin_l_bfgs_b(batch_cost, \n", " (W, b), \n", " maxfun = 20,\n", " m=20, \n", " iprint = 1)\n", "print 'final cost', batch_cost(W, b)\n", "import util\n", "util.show_filters(W.T, img_shape, (2, 5))" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "float64 float64 float64 float64\n", "final cost" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 0.90519276046\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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AQHd3Ny644ILqtzQQCAQC+Uy7v78fixcvxhdffIEvvvgCixYtQkdHB2bPno2F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\nZDsarkOnIdkHA+WBjBmSbSg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Pr8alRowkSXDNNdegvb0dP/nJT9Lt8+fPR3d3NwCgu7s7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\n", "text": [ "" ] } ], "prompt_number": 18 }, { "cell_type": "markdown", "metadata": {}, "source": [ "***Test The SVM***\n", "\n", "Once a classifier has been trained, we can test it for generalization accuracy of the test set. We test it by making predictions for the examples in the test set and counting up the number of classification mistakes" ] }, { "cell_type": "code", "collapsed": false, "input": [ "train_error = np.mean(y!=ova_prediction(W, b, x))\n", "print train_error\n", "\n", "x_test = data_view.all_images[10000:20000, :].reshape((10000, -1))\n", "y_test = data_view.all_labels[10000:20000]\n", "test_error = np.mean(y_test != ova_prediction(W, b, x_test))\n", "print test_error" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "0.1375\n", "0.1589\n" ] } ], "prompt_number": 16 }, { "cell_type": "markdown", "metadata": {}, "source": [ "***SVM Summary***\n", "\n", "The linear Support Vector Machine (SVM) is an accurate and quick-to-train linear classifier.\n", "We looked a multiclass variant called a \"One vs. All\" SVM,\n", "parameterized by a matrix $W$ of weights and a vector $\\mathbf{b}$ of biases.\n", "A linear SVM can be trained by gradient descent;\n", "whether SGD or L-BFGS works faster depends on the size of the data set and accuracy desired from the minimization process. A few iterations of SGD followed by refinement by L-BFGS is a fairly robust strategy.\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "*** Exercise: L1 and L2 regularization ***\n", "\n", "Typically linear SVMs are L2-regularized. That means that in addition to $\\mathcal{L}$, we minimize the sum of the squared elements of $W$:\n", "\n", "$$\n", "\\mathcal{L}_{\\ell_2}(\\mathcal{D}; W, b) = \\mathcal{L}(\\mathcal{D}; W, b) + \\alpha ||W||_2^2\n", "$$" ] }, { "cell_type": "code", "collapsed": false, "input": [ "def ova_svm_cost_l2(W, b, x, y1, alpha = 0.001):\n", " margin = y1 * (np.dot(x, W) + b)\n", " #penalty = np.apply_along_axis(np.linalg.norm, 0, W).mean()\n", " penalty = (W*W).mean(axis = 0).sum()\n", " return hinge(margin).mean(axis = 0).sum() + alpha * penalty" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 19 }, { "cell_type": "raw", "metadata": {}, "source": [ "W = np.zeros((x.shape[1], n_classes), dtype = dtype)\n", "b = np.zeros(n_classes, dtype = dtype)\n", "print x.dtype, y1.dtype, W.dtype, b.dtype\n", "def batch_cost_l2(W, b):\n", " #W, b = Wb\n", " return ova_svm_cost_l2(W, b, x, y1)\n", "\n", "import scipy as sp\n", "\n", "#W, b = sp.optimize.fmin_bfgs(batch_cost_l2, (W, b))\n", "autodiff.optimize.fmin_l_bfgs_b(batch_cost_l2, (W, b))\n", "\n", "print 'final cost', batch_cost_l2(W, b)\n", "import util\n", "util.show_filters(W.T, img_shape, (2, 5))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "***Summary of SVM ***\n", "\n", "- Most of time we prefer to use an implemented SVC version in a library, e.g., SGDClassifier/LogisticRegression in sklearn." ] }, { "cell_type": "code", "collapsed": false, "input": [ "%pylab inline\n", "def plot_weights(W, img_shape, layout, cmp=cm.gray):\n", " \"\"\"\n", " W: rows are different images\n", " \"\"\"\n", " nrows, ncols = layout\n", " fig, axes = subplots(nrows = nrows, ncols = ncols, \n", " figsize=(1.5*ncols, 1.5*nrows))\n", " axes = axes.flatten()\n", " for (i, im) in enumerate(W):\n", " axes[i].imshow(im.reshape(img_shape), cmp)\n", " \n", "#plot_weights(W.T, img_shape, (2, 5))\n", "#figure()\n", "#util.show_filters(W.T, img_shape, (2, 5))" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Populating the interactive namespace from numpy and matplotlib\n" ] } ], "prompt_number": 72 }, { "cell_type": "code", "collapsed": false, "input": [ "from sklearn.grid_search import RandomizedSearchCV\n", "from sklearn.linear_model import SGDClassifier\n", "\n", "searcher = RandomizedSearchCV(SGDClassifier(n_jobs=1, n_iter=1, ), \n", " {'loss': ['hinge', 'log', 'huber'],\n", " 'penalty': [\"l1\", \"l2\", \"elasticnet\"],\n", " 'alpha': np.logspace(-5, 3, 9),\n", " 'l1_ratio': np.arange(0.1, 0.2, 0.02)},\n", " n_jobs = 1)\n", "searcher.fit(x_tile, y)\n", "sgd = searcher.best_estimator_" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 30 }, { "cell_type": "code", "collapsed": false, "input": [ "print sgd\n", "print sgd.score(x_tile, y)\n", "from sklearn.preprocessing import MinMaxScaler, StandardScaler\n", "#W = StandardScaler().fit_transform(sgd.coef_.T).T\n", "\n", "plot_weights(sgd.coef_, img_shape, (2, 5))" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "SGDClassifier(alpha=0.01, class_weight=None, epsilon=0.1, eta0=0.0,\n", " fit_intercept=True, l1_ratio=0.14, learning_rate=optimal, loss=log,\n", " n_iter=1, n_jobs=1, penalty=l2, power_t=0.5, random_state=None,\n", " rho=None, shuffle=False, verbose=0, warm_start=False)\n", "0.8893\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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rfpH30b5VZ8f2uyroI0eOuDLxON4m5SvQvBaolVubv9J8EScBj4+POwVtIy47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\nP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"text": [ "" ] } ], "prompt_number": 33 }, { "cell_type": "markdown", "metadata": {}, "source": [ "***Using Linear SVM (SGD version) on other datasets***" ] }, { "cell_type": "code", "collapsed": false, "input": [ "from skdata.cifar10.views import OfficialImageClassificationTask\n", "from sklearn import preprocessing\n", "from sklearn import grid_search\n", "from sklearn import linear_model\n", "from skimage.color import colorconv\n", "\n", "task = OfficialImageClassificationTask()\n", "x = task.train.x\n", "y = task.train.y\n", "x_hue = np.asarray([colorconv.rgb2hsv(img) for img in x])\n", "x = x.reshape((50000, -1)).astype('float')\n", "x_hue = x_hue.reshape((50000, -1)).astype('float')\n", "print x.shape, y.shape, x_hue.shape\n", "x_tile = preprocessing.MinMaxScaler().fit_transform(x)\n", "x_hue_tile = preprocessing.MinMaxScaler().fit_transform(x_hue)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "(50000, 3072) (50000,) (50000, 3072)\n" ] } ], "prompt_number": 67 }, { "cell_type": "code", "collapsed": false, "input": [ "## for raw RGB pixel\n", "params = {\n", " 'loss': ['hinge', 'huber']\n", " , 'penalty': ['l1', 'l2', 'elasticnet']\n", " , 'alpha': np.logspace(-5, 4, 10)\n", " , 'l1_ratio': np.arange(0.1, 0.5, 0.1)\n", "}\n", "searcher = grid_search.RandomizedSearchCV(SGDClassifier(), \n", " param_distributions = params)\n", "searcher.fit(x_tile, y)\n", "sgd = searcher.best_estimator_" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 46 }, { "cell_type": "code", "collapsed": false, "input": [ "print sgd.score(x_tile, y)\n", "gray()\n", "plot_weights(preprocessing.MinMaxScaler().fit_transform(sgd.coef_), \n", " (32, 32, 3), (2, 5))" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "0.2955\n" ] }, { "metadata": {}, "output_type": "display_data", "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": 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cSmNjY4dxhbKXRBZhShrij7PBMC02GC8fZ9mIGE+iQB0RoBBZnkmC6UolSome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cts4Ze25zg/1kt5+hj2SJucFuN4x3otHMryLIhbm83L+iD2X7E3vhD+wRvmc4+LFfj/8W4LbD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"text": [ "" ] } ], "prompt_number": 62 }, { "cell_type": "code", "collapsed": false, "input": [ "## for HSV pixel\n", "params = {\n", " 'loss': ['hinge', 'huber']\n", " , 'penalty': ['l1', 'l2', 'elasticnet']\n", " , 'alpha': np.logspace(-5, 4, 10)\n", " , 'l1_ratio': np.arange(0.1, 0.5, 0.1)\n", "}\n", "searcher = grid_search.RandomizedSearchCV(SGDClassifier(), \n", " param_distributions = params)\n", "searcher.fit(x_hue_tile, y)\n", "sgd = searcher.best_estimator_\n", "\n" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 68 }, { "cell_type": "code", "collapsed": false, "input": [ "print sgd.score(x_hue_tile, y)\n", "W = sgd.coef_.reshape((10, 32, 32, 3))\n", "#W = [colorconv.hsv2rgb(im).reshape((32*32*3, -1)) for im in W]\n", "plot_weights(preprocessing.MinMaxScaler().fit_transform(W), \n", " (32, 32, 3), (2, 5), cmp=cm.hsv_r)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "0.35232\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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iphPUY4OLJ13m/6KHoTTiVifvWuhTG3sjidScsJkjjpbIwyXGXZ/gMx7NjqIe\nrcm6ikyzqbQhzTWDptWJarhJi5+lrLxTNuM5uqYwFi1FZXC6sjh75PPtNzvM5ybPH9bcPUpw1Ai7\n7aG1e1yV17DakDElmii5L3P+eZ1x/QBeeDeH3TWHgwWJltJ9XBO+Bf2Tlt26QQEuNr4t2R0V3Lne\ncK12+byMSNMxf4+DP9fdv+JjF+H3IhcWmV4zd+G4I9kNdDqOjxW6aOMIYxDRNQOE7hFVkpiWntmi\nBwpN6AzwMDKDoC0ImxJRVhAXtLJF7yisQGKUNVpeYbYprqXj6Q5SGgizRegpdbXEpMZqG8xKYuoJ\nmlmStiZFYWE3Oi06et3QiTV0ZfB8HHLbGbKIPBaRwJKSuJJUpUQvwFECZ+vizLtomaBcaSQt5L5L\nHpg0TkjjD9G1FYEWIXRJKRSJayDCDlrYwSn6T+U2fA78qkVfVjTrmlXosQotRL9FG1QwrGlHNcpq\nSOfwuAW0EmHF3MlWXF8u8bdL/F6HXHTwpUWgm0x1Qa1AB/waVNlglQvC8hg7PUdsM/JGMtc1Ykwi\nCd0GPNGiWy1hZbEzd+ifDtlZTOgvJ5h1S960ZKFN2rHQVnsMtx7CgNMjeBAJWFiQBNRJl2w7RKkt\nS3/Dua7IsoylueR+Y/BB3OW09UmLADvPyZKErVixHayJ+xtOg4/+cvzDWFpdTE/S9AvkDmiRh6Z1\nSJ2AdjBADHzwNTB1TKHjopNRsaGkowt2dAtXKc5anSMk9biivrsgdAVD1yFcWJAYxLIh8uZMhj6d\n1CGqHN51t2x35uxrp3QNDVdqXISKlVSEvRWhd4Ff67itjl/qRKWkX0icpqJtGpyoYNrbok0T0oEg\nDQOU3kcrJ1ilwmlqtLbFjYFa0E8UURKzP3fpHOpQaaQ0FIVBsoAqhpFv0wkirNh8Kq9RFWHUBm7u\n4WQOtRHQGAGhrImKDDfJCVY5XNTYFxbRuUlZC2pZMCBjt5NgYvFi3mM/9xgXKbXMMPQK11qiKKjt\nCxL9kHIzhGSGOGvR44hhscFvLxAyJ9QVldtAR2GOQA4fQf+I1sxRsoakQjQ2emYThAmjoGYhDLJG\nYxObdE9Ngo3FYAC7OxVhJ8ftpMh1TpI1pBudrjLZcxzu6i6fal2mcUvvOCfPA7QnOsW+4LYKqVSf\n68cmbzxlZq89nFGFNRszYNNNsBwDXxh0RhXDvYLucY/SH1E0Q8wzk0CaKEvRmi1lYtEWHpUPVuvj\n1B2qfQ89BODQAAAgAElEQVT2NeSoxfMqGJToXkuhg6G3GJqkCD0WY5uoEPRpsTNBNKyIdrbkbkFW\nlWzjiPN1j9OVYLnSSBeCjd+wMnK6ysFWU3xnh7E/QTNd6ibmVOYshUaiSfJNSbloqUXK/HHNslRk\nD0yiRz71SiOSOkIHX68wA5NkqDjbcWjqKU0zRT8dwIc8bf9pvm9F+HhlE8uK9xHcDySvui5T28EO\nQ5xJD2syBjGlURN6ZsFUL+g6Nfa0wdgoouMS96Kg35T0y5bjVuNRa3KUFqyCgq5VU6YW3abLM7Zk\nYC1ZK5dt1aPCJjBNfGVgZDXEW/y8JYor1FLQKRwG+AytmkrU9HXFl1pwNyZXkohp0efkluT05hnJ\nRlAeabDRcTGwNB11ZKHe7FKuNzw8X3HQadi85FDcCBic7zIo9tgaJbW1ZhF43Osa7HddsmhMHo25\ntZk+ldujl+EshXQfEMDagiMf7VqD2QVsSa0LpAnM+O6v7EhUWKK/u8F+55ho+YQ2s/BKB6vtsM26\ndC2dXV1gChAtmF5FLPZ5UnyTD6pT3moanoxMkls2oeXw0kONO8cC2ZSkRyX9JxHjJ1Oc8wmi6nOo\n+6wbqBScnszIyhlD7TbXjZBdD95fQvqBBlUApcEHYsY/jPZwq5jkOwVlHmOmW/TRGWd2wKmtkaYa\nZC1amlHUF2zCY1YvZCx+RiF3njq2/LPAxvFbJoFgEmhMjF3GcopreYx6IVnfQdkaqYKQioGoOEHj\njJaUApMYS2Usq5R5seXMOuJ8cMSLmsmNXoDzpMfDt8eUZ318veEl6xirG6F3QtjZwu01ubng8IOa\n8nHNSpSsRcnLWsOzWsON2KXRExYODDPJ57KWJpa8HkuMcI595T7hzXOq3ZZ80MNqeljrARvD4c1d\nC8qKuoxx1wkzlbNjpozMLj3DYEXN3KrIbcVSbSnsgNyNEI5Han74oo6PwqfPxzSFTnbhki9dJtdG\ndK6OyKuK7XxLfFyxv1CkmaIUNSKsKTKNda6zbmuqZssk1fmRecRk0WVTj9k2V8A/wBtUrKM596KU\nB+YZx/UBqv42UgjKEG5kG54rYugU/Iuo5Q/dmE0nZz3OWQSnHBkph1JykhfU25j5MoW5QERbjIlk\nbgsyVVFtC1KtJnFqrJ2M2dU1uDWFJVmudE7nDueHJqrrcSV0udH63M48nHdDyrxL1gdDE4xM+GEv\n4FNeyzJo+PtPmdm9d6bMB/B+V/DtK4LJ1mC60OmsFFIq5kbIkdhjLUeEG42w0tDCDC1MkY2kXFe0\nNhS+zdbqs93mbNOUPnNm0Tm+L9BkB5E4dOwVHTsmkwPW7ZCFa3IYKW56BS8vW54pdc56kJmSpaZz\nqDwq02IyaLiu5QTehkKuMI2anuHijDWaKxlbAY+eONQnPgqTH8JkIg16gcFWmtgf2DRPPB496ZJc\nlKjCRGtNAuuCrh/T9uGNgc/vDUNS+QxpcxdvbH1khx+7CK9fv04URei6jmmavP7663/i+Glhskbn\nkdlyz6q47vmUro8I+mjdIVp/jFIT2naA224ZNOAHAsvV0NY11rbBPK3wqQmkhBw2qU6sNPLdmu6g\nICx8QtVnRExfL8laSax0UmlT5RaVYUIhUXmKnQt6uYYbWxjSw3MiTFIqJP0WbknBKDYYnPp0ll2C\ncENnZ8nJ2uBk36VcuFi2wDUtMuljthbpacDBkU+1U7HoatRjl2cvRvTPpyT2lrW34HQn5KBvst8L\nWNY7LOUOmfbhf5/4KG43tyCJQbYCs9RgYyMWAdagxBYNSmvIKoVUgKVg1CIyhdZIxGkK+QXa6RFu\n46NqlzSvWa81rnoaO47C8QXrUCN3NyyyY+r8HmdxThzXqKlGsGMy6zjczQ1eTjQeSJ37c43xRZ+r\nF3uoeMSZCNgPbJa6RqPpLLa7LJbPYvV3uDPzMXp8d0ooFSAcMCzO9T7SGOGeHWM8PoFFRTlYUw4k\nmT4m01soWgxVY4icylmx7V+weRY2X4T4wxfjfiSvAA96Gm4EaWiQuQrD9OnrPrbt0e246IGFrDXi\nXDIQKwxtRaY0TpROKGo6Yo0nV2yymGW2YV6fcmac81zPYRTV6LVDfl/ntHRIiho9z6iHkmIAyZ2Y\n+sUtpbHiTM9Yk5EbBZlRYuYOt1OPPamTBhBXDb6V8qyT8R1M3q40utExz0zf++5deX9M6Uyw1x3s\nVZfY7nLUjyDP8c9PGRUNaAmWSAi0mr6lE1uSc08yryUXVUpRxzh6SxePovnznwi/l9tbZxOKQuP8\n1GaxchiOJ+w4MzZFiVr6bM8blluLRQUuG1x7Q1t9Nx5bTWOrFyiRcS0N6F3YvNeEvFf3sbo2waJi\nbS048he81zmkTh+jJxGtO6YcThhuG7603KBZJe9YCccaWNYWvJhjM+UBBeta0OYFIlEkiaJJFH29\nZtK3KT0DrTExDAOVmUjNwBlDb1qT64IMm7XSeby0ODuxCZyQwcCj3zr0MptqExBveiQ9HXMMszEM\nQo1+V+ebQfrnh/YjuDXuRzSpwcFtjzcajx/KTKZrk6qwWAqL3PT4wIiYC49bVUvQSAxdw7YleZNT\n1xWFocgGJnrkspUWsTDQ7JJpMMd0DUQcYRY2brsgUEuy3GSZuGwdi61QYOfc9mocX9HYGmthcK45\nHBsRlu/Sn1SMvIzWzKj1HM1UeJaN0dcpb5Zk6BwtPOZlyLWy5WaliGod3zfISgv12CUrQw5WOQeb\nmikmU0wiI6VvCxJX8NgPeNefsGpusapfoRt9tIUy8BRFKITgd3/3d+n3/+xpPjFqsUTDUM+4rq/R\nTYdj0wNzzLa8RpFMUJaDbphsGkWcF4xky26io6eCuQnLUcNjvcXUalQs6QtB6GjkpmCu6+RGSGKM\nyZe7pCuNIhFUmaCUFWWUUEQWkayJmpbUsLmwO5h6RN7zEIGL0jSkgG2uqGLJAo1e16CjTGzLpFdZ\n5JpkHmbkRk0WOhRuw1Huc5hZdDYu41ZDKytk3SBaHd9SDDslx0HIo84t1kaC9ahm7wMNe+Njrg2M\n5s/X/r3cXgGkJZhNDMaGhe566J0Qd2LhRS1lZnK8r1GsFJQZlCnWuYl9biIPLI7TkrxZkWyPSRtB\nuj0mvXDZ7ze8O6wIGgOz8LAFhKuYYNVnVp7x71Qp5SInzRViZBKtbNaZzaHZ5wPb5Ekw4V5vCvgk\nSrGRNfPahNKAcwFnGgtX8OYY9Gfg4hawqyCrIWu4vSz54UVNuC3ZdFLOmw33nZxTEpQ5Q9hrLCPF\nDmMskdL6NdkMql2QGnyvybvv5RXg525vqF1F0m0pDNAiF9nVaHsWWC5N6VAuDNJNhVSnLDjhcd3y\nsIZrZonmFHjkyCQnj3Oeuyj46nnFi47gTligye8+4c6bFtv1+SPHY1sq4vOSb/gFi25J2xYUf5Qj\nv16CFuJqM3p1h2ndw8kDHqY+p7XGyF8x9FbEkUGlbdE6Ma7d0GvAWCg6+4oqFdSJTuxa1IGPpwvG\nXYehbXB2rnN6IViUOuNAZ2Wb7EcO66WknEt4r0BpglY4tOdPl9n5yQiJibI6BLOIyg05rUIWacPJ\n1iPLJTNd54orkUrSxilN4ZG3Pllg8J3rgv2ezkJmbLOane0Fn6nnNCRkWsPWgOsmVHrLgpyFVGhu\nQ+ZsyMuWZlMyqBte7ApWXYHXKfG9EtGrUKFk0QqSvKCqW3zLwe86XHV7PKu59FOfZu6xSqYM2jvM\nOrfwnDExE1oEOoqiaXmStjyKdXaaHsr0eSgVIsupJxqbT42x/B5X9mF2T+JaOd5OxvPR9/7c8/dy\n+xvpknkMb2/hZCvA6nK602Fi9RhLByydc6eiCmpcv6Dn5fTtBt9uyJyWe65k36tJwoTSLbjpH3Bz\n9Jhy94L7Ro5VdxBtSKamLNMAI95h9FCjd0+nWzTMrJpxklM8SvjDs4S3XnJ5K4iwzR16w12kK3iv\nt+CdTHC19bnWDsnrkHlt4jqCXleBpViPFZu+onnUEj9q0CwNzRdshMPJosPhWrIpc1pibFHTEQWD\nJmOcNPgrk8m8y/J8ip7uQrqHSr73Tca/4qmmRr/7qbsPYdxiag0DI8Uw1+hqxAkeyhxRFzcpkzEq\nrNCMgk2jWGcFFBqTxoXGYGG0PBhq5HpLrtfcNiQvNgLhajy0BBe6TqIHuPqY9WLE4t0h5VmFyC5Q\nzRl5xyXvWEy1Flur0bs2xXSI3h+i9010x6A1BOgt23XD+VmJVmtEhUEXi9uWxaQ2SUWDFRbIMCcf\nVlSh5Hhtcm8F0xMXW/p4VY2sUwzZ4JuKUVTypB/wcBhQrDN2PtjQ3y8xch8tN767KuUp3O4Bta0x\nnZiMhg5Wx8cchYS2SRjVbJc22/c9Fu/rfPc7bA1m7OBvHdpjk+O04rRZsY0NNnFBrjVkWoPazRB6\nRkdZ7IoB4/+LtzeJtSXLzvO+vaPvTnvPuf3rX2ZWZSUrKZOUysWyaIlFGyZsoGDABEyDBAkQHHHK\nKQVPXIQmHngkQEPZMmFYMGXSNCWRooCiyFJWqbKp7F6+7t5329PHiT5i7+3BlQUTxcx6yIS1gJhE\ncwZfrIg/zt5r/6vqEz2RRE9GfNMs+AVynMuC2dJwceBwEvo8iSNe9MZ87I2okyFi2AcPjJth7AbT\nWdAJEAKWN0K4nAp4FczXgTeAWQezivsfNvxi1zJY1DzpF7zXpZzZsBIWgT3DD1Z4/ZLISbGSgmbc\nUh9CfXSzRMB6CROJz8xZ4L95sGZlC94OJR/Y9o2L0J5EDR2ME6DqiPLaIT+vmOsaoy65qBwuyoDI\nb5D9isAq6bYl5briS6c1v3haszeG/rGDcLYcTSSrsOWD7oDvdX0uM8PFquaJW7EYVOiipv5eSfun\nDaHYJ+A2A7PLLhMg5sq4fOB3FMchjG22sqD1U+QgI/Bahp0hWRhqy7BsBMvagtijVRF2X7Db9xhG\nDj88t/joQrLrSXYjyeXAoRr6bKqWbq5w36sxCpQOMKb7QmxnFxMs38ebToknE4pQsKlvhvjPt+BX\n8JoFh0FFqjM2W4tK9cjYpUwE79wqKQ9qzrYl6XzNf9fN+el0zoYtj6yOxIY7Nli25pko6VSF9NYU\nI0GxALWBZG34yhDcIeQR5A7YBwbHQGTBdVWSt4rE9egNA47DXV6Ve+xs+rTnCat8l+HwLuPhbQJ/\nj0zsYWFhIag7OMnhgwyMEsQOPNU5yyJHj13Kr004dBxePYH7j1rEwTXImsFLCOGPY/uH+Yos63iW\n5lymFdf9Q96ZHDAWPnvbMYEraYMaP6kZjlP2xxsi7WIrj7yneTTVvNWveeFtWDsrvjU55fX2Oc1B\nxqXdUHdDLJOg9B7LTGBlMHi6Inl3xdHVlrt5h7upeD7L+GGV8W+SHm/dm/LV/j53kgPycctHdcZF\nJfhPqojbpU2xSVisXaa+ZH9o8CLN2dTgjEB9oNg+abH3HZyxYIPHRTXgbCNoTIpmiStqBnLLuCuY\nNOpGCBd9Ftd7mOUBannEQq5eii18wX+EP//zP49lWfzmb/4mv/Ebv/FXjv+j/+t/RVPRyisevgY/\n+3rE0JbUUcG6f8kmLHHKDnfd4K1ygspG5gF10cMoB89t2fFr7HGIM+rTy1v0SqH9jGgyZ+IV6HaM\nNh5WJwialkAqgoGFI0M61UdtW8JSEZaKrpewzafo7YBhLOnHAjWGbiyxApu+b+P5NqFvE/kddT/m\nahoz26Rk2YKiK2idhjbURDriFWGI9sG5B/gWrglwU0M5dDgfacKu4SeXNcVmhRZX/PD6B3zw3ild\n4dGZz67A+3Fsf+nvWWQITjBcf0MSDfewf/gq6wj8/Yq6kJRpD6ewUekLdPqCdtVRrBVq6VNWES4S\nxxTs0DHXS3KzQllAZNPIAcU8pF347GxaHtARmJIXxoK0T3rSY71xab0ecZzwN03Ml0YRXRehuhjS\nFqtUGBTZtGQ7KXh28CFPmznl/gB9NMBMxhBPQY6grmFVURcFGyPY+jZvjwRvO4JLXAw+reUjtI3J\nBW0L0oLuK1AA1e+B+b9vFo5/Ea4Av/udP6WxBGsf7NdfJXp4iDcO6KTBmqV484btOz3UY4FFD5sj\n+l4DfsvBWDGNG/YczV0dU3UhIhM8WcDzVYM6azHuGuyaloLLWjOrFHSHTLsxeXfEdd5SkeB6a7yf\nLIgu7hBd3kGpKR+xQ2mFfOxIZkHNl4KW14Itu13GA5VSlgXPUzhZQODnWHrBfNNnvhmx7cUUw5Jw\n2LIaGjrjslkNKWufPBqSDnwSbXjzXHH0QlPUAQv7ikL9Yz7mT0l/jBD+OLZ/+L/9z3S2pIw87v6t\nX+DVv/NzKBc2HawsCHuG0jd0oUGcaVwUlq8xPjQBtB1YTcdr8Zrh8Yo4OeOdyQXzvQ3Pex2nWnC2\nllxUgvlMs73WyBqkMHxcwj8X8KGGxSWsBGhAO9BlN9ZkXgCOA7iKLCnJJ4J3Ry6dbTMRFvdlgt8E\niIsR8noPd6fHesfm0sALZfjkUUNxUrF7prgzDnktCLBLjT1StLs13q4h0R6edPlX6Xf403f+GFPU\nbOc/vrz/x7H97jt/jgoM7VNFdOEw/q9K+vGMxD4h9ga44z7mlR6RiDlofPbaEboNeN76rJ2OwbTg\neD9kKSbMREfWJKzahB1W3LrMEDqgTSrq5JTY7diJOpJ9SXIt6bU+YQOF7Fj3RlwnAm0NGGxixipi\n4kb40tBTe6yMjZAFTVySZjZNt8J0GosYYyRu2zGqCiq55iJe4bcTji5sJp7H7pFgNXWRlz3s6wmv\nm4qvmIZeUOHEDaJncXtjc/pn1zw7+d+x2n+NKz/NC+lH43ML4Xe+8x329/eZzWZ885vf5LXXXuMb\n3/jGvz/+q//Zr2FEipYfYaxH7IuIA1eQRhlmeEbtLGjWmvpS45cOqnKws5hmPUQQ4A80017HznTA\n+F5G2Ro2W2jIiMNLAmdDWsSkysFRmrir8BzNYCxJ/AA56yNngmYmaeaSRRSxKQc0WUjUM3h9Q+lZ\ntLsOUeAw9GwSF1zPwvVbmsGI890R12LO9qohVzWFU9L6FUNRc9vRdAeGutFoLfDw8dcW5b7Di9uG\n6VnBz5ytyLJLHlsnvPJVxRvxa3iPe2T5hD/jH31utu3fC+mwaAhIm4TtP9tH/OA15CBENoAIMNkQ\np7YhfYS+/oR2vkbNUsrCIDqXGItDKnbYUJvnLM1zlBNDsoNWDs2yQT1v2TNb/oazpexKnnQ2VTag\naSK6ix5ajkiiAW8MLO48kOjOp2k9xLrCPatRXclFnHMx3PIvmisWjqKZBpijGLNzBMFXwTyErIHr\nhmJbMNeSbeDw1ljy/UhSKB+6Hl0doGubOpXka4GIwOyC/i9A+4APWgP//efPWYC9+/81dQDeLqR7\nkmXkI8chbtNiX2/xPnYRb9noH0a4ckBg3cHeW5AcLDgKNbumZc/S3BcDtIowpcX7K8lqOWeezenc\njGCyxUs2dLlC5Q07zpg9Z0Cz6nP62KcId0gO58Q/syX5/m2S+W1atcP7jFhKn499qKOcOEx5PZjR\n5ZquS/l+UfAna8O5C1M3p9e2zC6HXF+kiEEPa1JSjBXzoaa0HdLFiKaR5M4YZ+CTzA0/dQrtc4tV\nHbMZPKSpHtBWDzlrN5zWf/9zs/37P/E/sPIkb08t3p9YXG/ADmGjboSw6UMWGuqRwrzX4YgO6SvM\nUFMHkqKBYdXw1XjJm7dOeb57xvfqCy7CNVe9lvNW8GJlcT2TtFcd7aUBYxAufFhALWHHgHUFzhJ8\nB4IIumuwJDg9cPaAfU06KciOaipHcGIr/rb0+S+tCfdbj83VkHU6ZbNrs94TvNNp/nWtWH5U4p0s\nOThvedCb8BXbpyo19UhR7zXUk5pB1eBZPf62+E/5+k/9LOpbHX/x/gX/45/+g09P2pdgW4xzrJ4h\nfMUQejm3Zxm3j2xcywbPQYzHWK/dIYnvcvzsLgfPdjhvIk6bkNJuGO9uuHtb87wb8ayLKOoBi3rA\nnrnm/uWCwBRso5Ksl1LrgtqUxIspyWoXU/rUqc0yF6yCjrnrgjNguonZrSJ27ADXchgKwdKJsJIt\ndZxRW5pNu6JrBUKHBFrgVh2jIudEXnPeO2MvN/TO+rDnsP+6IEtcon/bJ7rWvGHmvKFbTFCz3qsR\nPZc7G4s98YC/M/oKS97gPW/G//TeP/xMtv9vfG4h3N/fB2AymfCtb32L7373u3/l5syuFUYaOkei\nHJems9lqgUwLxLIk8gSlluDZONmAcDOk2lg8zyykcZHGwhGC9paDDmyElDilDU2MKEArD2/p4a08\n+mlIWIX4WuOYAomk6ARlZVM2FmUrqSoXtbHB0qjKUJeGTSxZJR69ShNcC6K1QHZ9LC9hScSsCahE\ngE5CwijAGhpUoog3Hv5ZQHsl0RuNEIZwqwkL8KWL6Tn4hWJnssV2ZtjtGaqdYcsJMS1R1ftCbD9E\n01WC7ULhXCqa9xLa928R94YMChvb9akXPaoVmGVDu6gR6wArdzFdSyskpdeQuUs8f0Y1usSMl3Cs\n4JaPW2cM84x96TIRBUNqvFziFCFNFbJuBmSqj2P3CO2YVhlMbhhkDlFu42UCJzWotmO4ahmvGs7c\nmudHNfGgpnIbSuWSmVNK4YITQRCxFQ6npc2mlZx7gkUEuAJsiXnuohYh/QrGTh+RpMwHS7KBQ19E\n9IiIRc4PWX9urgAbUWBjMe1CbjchpvagsnGKGn9dYrICHwjckGGhGBVDHN1gVwV3Sh839ygDTbMc\noRZjuIygGeMUj4jnG2q5xbSGLBZsS4dtNSByQ2LXJupsZDWiiyR1YOF6AX67w8QMMfQ5pceVdLmy\nwZEaWTj0riDfWLSpg2V8op5FoDtqo1kJl8YZ44YHdMGQ1nWh0fQu+gyMx9zY6NAhb4d0swF7p4a9\njxuccwtHx7Az4KKNuGwsVoXNZy14+3Fso7XPJoKrIbxtgeeA68NSd1zFLV5TYvkZW7XhYHjJwd4K\n03PIRi554tKVHaIocSc58f0CvzbYlY+qR+R1w4aUdazYNAquDWTm5gMrb1m3LSdORxopEgk9D2wB\nXgqBBSgwBdxYXxuEVshake5k5DuCj7THbWVTGkHnKlpvSbE9Js9vsdhoztYN5aOMg8ucYabZv+64\n7QrOM5u08BB1w6DtcJyOZ/sNi4cWu/2O3UbRfrphz0uzzZcuSafYm1fcu6659Qxu+dCtIH8G1rVm\nkO4zXNqMZxH1coTTBIw6D3PV4HxiCAvDpRpS6x77Tobn1AQ6oqeG2IsNi2bNJt8gow4rbnBXFv6V\noJi7rLOQ69onNdBWLv2zHpOsx9APaB2L2rPxvZBecFMPsC0qhl3DMGnpxy2O3SGcCq+/JZq2WFcV\nrRtxUfm8jY1xJWaoGY4N9RhWA8F62Gc9OsZybBrpY2GROALLWxM4c1z7kvxl4P67+FxCWBQFSimS\nJCHPc/74j/+Y3/md3/kr5zx9UqPsmiLsKEKFXRqcyuKoqXi43dDrt6wHAeogwlr7BAvDdWp40XQ0\nWjHMfUZbj+ZYUdQNceYQLgL8zKEyDVUrsJcO0crhaD7kTjHCpmOTzVm0guvC5qRxaaWgjSTKVliq\nxcsqVAtpAVcenAkYFR7OhYWTe1jxDnY8YlY5fHitCRBMhj59P4GJg/Y17bJP9b0e5kpjr2qCuGbg\n1PR3DT4+vuPj7YEVl5jrJd3pBe3qCiMlwg2Z8OllvS/DdmNqRC5x3teMvmeRvuWz/fiAHW/Kly4d\nnNDhDIfLpqWbD6mWI9xKERhFZzWUtqHx18wGS9LxE8o3C/RXNfgdiIqwyLg1WvPqa4Jxo6Ax7Mw9\njmchj1YJT9cDLnSMP3QJxwYdGBap5uFG8WqqSIoO2dWItqK30MgnkgfHHldHDpe+T1aHzFPJaTOj\nlAZ6r8DBEevLFU+2NnkhyIZAH9jTMFI3S0RWPXZlwJvTFnFQ8YN4zjOx4YB9HnDIbXH+qUL4MlwB\nXH9G3w74sgp4kMecrHxOriSyNQRZi2UVxIdblOVwcDrm+GTEYB7Ru44JT2PUox7ntsfZZofL7R4T\ne5epZTiSCl88p6wXXC3gPHW4VFM+6V7jwNrBlgZLa1rlklYRhVVRLGH/OmCsXDbYXGJxLixSy5AY\niZppuGyZNw4nzYDC9rgnGvq+5iq0WCURofMKo8FPsIwd5j1wtx23TgMOMsViz+aTqU2+7rM+HxA+\nNvBhi1NI7EmA3o+4JuIDY1Fu/E8Vwpdim0Ip4YkFf9EDbwDeCAqvYdtliO2ck+6MD5srfr6/5cHD\nLSpRLPstGzvAz21MUJO+XnP1VY2dRdzeSsrziKvTKYINYriCnRwWNy42dFuotyidUbkZ5UjhjCEY\ngufBsAEfsPXNKqQzCRQQnNwIdfFTNUWseFc1LKs5+3zC3vS7TCb7uM9+Ee/JgPo56JMS6zrHWzTE\nnWC8MexLuMxcZpkguarYXVS0U81bDxuupeLv7tZM0xr/qv7Ud8FLs50dErYVr60XfH1Ts/MxjGeQ\nnsLVB+BfO9xve+zWE5b5mMt8wEg7fEVbWKWkmRmGkaEWHkPL4mgvYro3Im597GJMEaWcXc54frgk\nOs4Ij7eIj0LctyxW5y4vypjTwrAtBFbtMnFj9p0YP/RZhIZ1rLESST+xMYFhFdbcHhi+MpX4E+g8\nRetvsQ/nqDzDu9zHte7wxNvhAzui17M4CDVR2HE2qHiyV9B9ZUz7xojRxRHhexf0yw3Rbkd0eEbj\nhWSey/H5y/ed/1xCeHV1xbe+9S0Auq7jl3/5l/mFX/iFv/rD65LOqchMw8zqMFGHkQ1uV3B3s8Ex\nLbIPRB6R1RC3Nakq2AiblbFoKw/VBTS5RVXb7FceSRbipA5N16IbC1IbWdgkDNmLR8iuRTWKdQ26\nLKmUSyuhcwWWKAm6Gq+qcLWF0RZqJelcSVvYdDOfpo0o7BE6HJEVDYWoCSJDHDqMgpvafFMYqsuQ\n6rGqS4EAACAASURBVOMQPe/QhSEetUzGLeOswd4m2JnGjjTZrmKDJpsbSgS1sGili2/HX4jtLTrs\nxiG8dvA+iXlxNeBFsUN/u8Ng42IHglVkcJ0Cq7CgBU9Z9IxLY3d0fk2RFGzHK7YHM3gV+GlAd7Au\nENkG2bewygq7kti1pBe4TCyPtW0TOR62Brlj0GPD0lNsS41fOwy0gxIFwrrGEivcomU4a+mNXULh\nEVU+pB5lbnDC5Y09zSaBzYh2vaXc1tS1woQGWxscW2FHDdouMapgR3g8kGOM1fFE5ghcPO4TcZ+J\nkMBf3yroZbgC7Jstg85wkBoOKo98Klh1CtUpnBZ8VzE6rol3JEfE3E4Fk5nDZBWg1z2y9ZhMtIjV\nAHubEI0ihqOYIQv6wSdsnZrGqZgRoZsxVXlIIxM66eDZmpGtmGBoli5yE+JWNqGjUE5NIjJC38P2\nHIyAqnBI1yGXzoDHtsBRNbt1w7gUuK2HoxP6Zoe+CHiGZGM0RjvIrodjBFHcMdjt2CibfAtF65AV\nPqJxMKGPNQ0ojcfMSFr/0zshvAzbtrux37uO4PEOuJHBFRrVNTR1iSq3iGbBpr7ipycNyZs1PZOT\nCB+dCYJ1iJdarPD4JI7oa5++SvCsHloNUXqD8CNsd4seOOiRA94KOg+lBZVd4zsNMoYwgV5pMV5I\nIm3wjEK5hmEBfRecFhwF1aClPmzJTMkTa8GLGG7HcCSHTC6O2al/kjazMOsaWXS4Vofvefi1xpsb\nMmVxoiW9DIIzQ2F1vDsQnDxUPNQNbVohVp9tAvEybKfZiH2r4tZWc39r6BlNrzaYJ4b5e2Au+lh6\njDA7rEh4iofyIfE7vMJglg5BZ/HA8pi4Dk4W4agRuh6wXcPKyTmf9zi7GrC7TvGzLeWHis1HHYut\nzVXgshCCsgsQRYdf+vRwUL4m8ws2iUvV2KjaBmljS4fgNvRCQdDZ1G1H1bUoZ4EJUzxrn0E3Ze30\neZ4EDCewMzUEY0m2pzlft4xv9Rnd79OKiN4zD8e9xDo6I3hlSWVfc2FFoIPPZPv/jc8lhHfv3uUH\nP/jBZ57zjSAn9Qo+6FV0oxb/MMM7NEzpkLmmki6qi7CyPrvScGewQno1M1NAU6MLWANatqjaIuls\nOmnjWDZGD9CWTxU5ZI7NYnDzsForm/R8QDN3iOsNtxGUQGkArXAwuFITOD5+FCItTVJrYmWz67j4\nxGzqmKtVgq3XvCpbhqJlajR+BeWFpks1h08M/aUky11WrcCvWw62mum8RJ6kyJHD5rDh6b7PCzHl\nQjZsxC6O2cdV+2zDyRdi+xsCLMvH9W8hBw95a/+Yt9qQZmFzuhaorSGjg6AEewn9M8Jtzk5bUDob\nimRBMbqCcQojIOCmlzMNOFs2dssHKqOtXUZG8JOWwLMtpG0x7oV8OU7oWy5N2NKEHY2raYzi0rMp\nRjZB2+E2BT2r4a4juCME18shbz8aclWCmGsK3ZK/U0OSQt1C/Yxe3XJcV+QUXM460lIzKBv6C0Oz\nPaEZuYyy2/jnRzTjV5GbCR0lZxxSc0j1GeUyL8MV4Ovrm0XIZSV4Swvqhw3efktdNhSli3R7HE01\nsSMYYTFqt4yDlrG0scyAJnLoqxY/t5nolijziLsxIniF7c6WVW+HdHRGYzX0HvW498gncCI2fp8w\nSfnacMOrIuV6KdlsXCZOi+qvueVseNOB507Mv7AnzLRHWox4bN/ncX/Fk8GKqV1xMOvY7yzGMqHp\nQrx5hTf/N9jJkMVgQpEMeWcccTG06I6v+dLhjPO9BfaXbbrRkJNuQrzyCPZs4qFLmFt4OZi4pPkC\nbLPIUPSgnQo4BlV3NGct+rxFnxhE5mC5Ma43Ij7MGT2UvPY0pnsyZJkNqPOYUgmu3/M4aWNuVwW3\nq4LZestiqcm7GKuyiRlSxVB9FVAuqJBOQSW3qDZncA13ZoKD0mOnCIhMg2dKVNBxdwh2BKG82Xae\nw/gHcLIHPxjBpQNNDed5hz06J3nwA7o4Qu/ZWDMXd+FhLx2Kbcdl1vJkR/LujqBzHN79QGAWmnki\nkIGhrg1Zqcmrzy5Cehm2X8empyMGtU+W72PttVj3Ohal4uSxJlse8qLZJ+jGzHCZUfPxTk3vqKJX\nCPqnLqN1yD42R8ZnUSUsN3Cd2WwXLkur4aIZkVdr3M2a6dM15YcrLucrZi5sew1NoFFRjSkaUmm4\nkA2+3uJqSetFnLtDVsJnuunxcCuQheHpTDNGMN7p8EcV8+cdq08Mwbnk3trBH7rEOy72XQvvSw71\n1CALj3BtESiF/6ykLhQXBy5dz2PnTUnwsOPdvOKfFhlO82kZ+6Px/5uzzN8KMuZeSZ3UzIcdvb2C\n3p2OfiNgBkXl0nYRMo8Zy5IH/SV1mPHU5KRVS27bFN3N3KBuJWNlUUvrRgiVBTKh820q3yKLFatE\nYb+QpNcx9cYjQhOJhkwYcgGaGtvcuKb4rosfRyRWw37X4AmbKPJo2oBZG3CV+Ry7guOgoWd1REKj\na4OaGfSlYvcFPEwFs8bmxNjYXcVeqdlbl+gXGSqQzKyGk6HLM0ZcCkkuGly9g9+M2Xif3n3iZeK/\nRYIVIOJbtOM3cdsjChnwCJvTNeSlwrUbkPmNEMYXRE3LXqbInSV57wXNziVqsEUnoG1QHSBbhN2S\ny5zHCsoWfgpwBEgBSOjFHg+jkJFrsZYVa1GzsTSpUaxci5OeBbVFkAr2Oou+7XLfOKwWNo/WCYu1\nIpy1yFQjuoywK1DmBKUrekd99u8Myb2MXtERrw3TrGFv1lIV59SDhkkTkly8Sja7jVNKwGHFmA1j\n4OMvnLdvrDSL1vD9jeG9FiZdzWTS0GQW+cwlkAHTO3A0Ar9WBGXGSBqGjYXXxRDFjNqWIMsZpg0o\nF5MO2Eb3SXdtlrcGpMfv0LrX9KuE6JlL7IfkQcJ0nHP/MMeYDU+KHi+uA9ywRQ8r9vySn/IKjsSA\nZ9qmbCbkfo8nvs/zQcKLvQgvq5AXip2tSxyNCG0PefIu8vRd1vFtPh54nN0f8P5XQ5LXLF6ZVtyf\nXmDCjiroWDtHnFwH+GcJt/cg6YOnDWGmMHH+qUL4MpF7UIagx2DvGfTTluasQj7usB8L7NrFGsUE\new3Jfcngy3BP9QgeD5kXIxZlj9PK4uxRwONVTGfWWKyYKc1G1dTKYG1CAmnokhb2GuSVhbx2MWTU\n0qNTkmQjOMgkkyJkUPQIVIZvGtqkY78UyCEknqDnwU+cwRvS8LYUtMeCagjrK5hvDb3kmtHxu9T9\nIWY/wbro4z8b4kiPvGw4L2ueRg4f33ZYODbixCFYG0b3DbcChWlcym1LXb388N2nxX+Ei21soi6h\naCPcpMK7XbNedJz1FWfBLohdtOjRCEkjC7q9DPWljJ2Fw611ny+vQ25jcx+ftoKLjcNi49POI1Zo\nLpsRKk9xT5dMxYrnyxOu1wXX05qs39KOWkTvplq8shVzq2KQa4apprEarq2IhY6Rm5ijc4982XJ6\ndlPsMrld45QV7VNF9kgyuLDYTy3ikcVgaFEf2YiHFsVBhze36F9p/LbGutQUfsfy2KI9drnzZRv/\nruCD645/PisJ9H+ABfU/NtoGx9aMLJdbfh+vk7hLgRQOW9ulDnxSLciLjIVKObO2rPDQsqRvGaa4\n2FqSD1yygcemgNNG0m893M4ibCWjvCTIG0Y7DWO7ZdvCVSVZ1wbPqfAdiyhpiQcdgWNIXA/HlRRO\nSGl7jMOSOE6xBxJGFZlsya872tWW3X7BUb/Blgr17+beC8+QB/rmph/WiMqGzsf0A5hYtEPFC6vl\nRdawKnMKvUHpFUU7J60akkzSrlxmcvuF0M7Zowz2OL/zKhfWm6zeO+AgtxF9CPcMi3VF1l6x3ZyD\n3ICEo7Lma6ogTtakd9bMd7e82Na8OIWLAZyPwfg3CRE1N9NzhwaaFXywhskSdpagbEWuKzpPAh22\n1AwjQy8ClAVbH2sN9ralt22YGoVQDffNJT9vSlrtMPYtQt+gZE1lWp6sOx6vW8bRmm46o/YLnM2W\nqAYPsBvBISF9f8y9Lw957esJ61cGPHkQsiZkl4g9QjQuP/yCaft/bhSp0/Jov+DZaMNrI02SalId\ncT6IMa6g8jO2Ts6rxx3HoiVIBCqCJr0Zzq3tjtkbNc89xf5pzcGLmrQf8GTviKvbLc2DNW4oGGcO\n8TbFTX3cNAIVci3voP0d7N2WA7uhSWqapOCyzfluVVArxW0RMnQUw0OP+W0XZQt6FrSVxSeeZBv5\nDCcxo7shO3cGjBkiLx3s8xLZbumqlLQyPJJPuQrfRjkNUjTUowVnryuq3ZTzXkzkxOSyx922R+bP\nePcLcJVzCFw4XMHrG5hdtlw/zdk9ldy7DohtRbknSAaagUxotwMWesqzaEIeJ9hNwIGAwVDxNw4M\nJ0nN93oZRQrJsoM0Y17kbLuczinBLRiNCyZ+QXmVMX/h0nR7zCOXp4lLld9sXq6x8y0XnsW7Ow6n\nBw6e5+D7NnnYYqqWj174PHZiVonLoFIc5jbN3OedeclF1lIWc0bXEUenQw6uxizbLX8ebVg6u0zN\nlPGeRXAIe1HFw2bBK/MNr68Ew7XgQfbyw3efFls5xAs9wtsjvDcHRMOMwTYnqgyWI2CcgN/gRheM\n+jbJwMbba3H3G8LHLlGgiG3YJCEfhT2e4nC6sKgKiW4VBSVNlmK3K3yR0iNHipRstKbYMXS9mLDn\ncxBBoh2UbFGipb0WpFtJV0Qc1Q4jDfWm4/tNQ2LWJM0a+b5GKAsvhun1AK4t6nOPjcrxuo575Qa7\nsrCUoPJyhsdP2K0esap9/rLycEOPft/BTyzeVgd8+HxMtu7xyroHZzXXL8nwM4Xw13/91/mDP/gD\nptMp77578xgsl0t+6Zd+iefPn3Pnzh1+7/d+j8Fg8KMXtw22qxlZHrf9PrrV6KWmCHxSPyF1XLZV\nS1VtWXQrXsglK8vD2BUD17AvbQYIngwismHE2ha0pcWoFOwVPsPW4u664s71CldUWP2G542hqS3W\ntaRnSVxL0osNvV7LTqSZRh625fGiDDivfPajjuNBCvcMxWsVC78i+zinfR6wG0uOYknTalaFoelu\nhDALNM24Q9Q1sogwdYBJ6hshHGmey47vZg1OVRDqFKUX5N2MtK4Ybl3aVcS1uKlm2t3d/Vxs5+yx\n8I946+6rvLv3Ve5lCfeeOSR9Q6zhhVVycnlNujkBNoDhSNd8TafcT9a4d9aspil/+Y7huyc3wz7X\nU9AJeC4M9I17zSHQruCDJ5DmUBXgBgolFG0rMMbgCEPg3ngE9DqbZOvhrjWkDXbWECuBaOBeW/J3\nuxlhJDgeCoaJwQkMlYA/wfAnG0McCdpdSe1pHBTRBlzAruHQDnjoj7j/5RH3vt5j/rDP4/6YLQPe\nQPAGko/x+F++AFe4EcJi0HKxl7N8fU0ylNzeSjZ+zNkgoggN62BD7mYc3WqYHDToWNL6EnOpEami\niRTXP614+ppg57sNk7+s+cSNeToccH5HMvjygp1ey+7W5tZ2Q/txRJtWrFXElbyLDmt29i4ZD65Y\n+Q0rf8PFKudZmTNoG+5aDgNfc3mww9W+h1oJ+itBV0ge+RYvkoDpNGL/boI57jM8GiK/4+D8swqr\n3VJXMVndcC2e0gRvcyAqDkRFPd5w/rrkYpsh7YigS3jQDbmfD9my4d0vwFbOIfDgaA1f2Rjev2xY\nPs05OAv52nWfnYFh5gn0QDMQA5pszMKMeBKOEJHHfm5xaBkOhoLoQPIPjzL+yaFDcil48KTDv9iy\n5oqynNG5W/Ayxn7Ow3HBqgsoXvQp2x1m/Qi/H1BlmirT2PMSaotTz+L7Oz6Pj0OE7yN9H1OWhFXJ\nk7M+n6S7bMKQO17HHTQ/OAl4+7SgLCtUUxAtPI7PRhysV7znbfhhtKF1JFMzJtkTjH4WXvEqvvZv\nz/mJ03O8ZYK7Suhtgy/0LgBIrRFRGKBv7+G9uUNcbRhka6JSYtkuZiyR+y3u4SX7x4I7tyQDVzCw\ngdynClqULdkkI7ZDw8nc5nTu0HUdQjcoCuptiput8dnSFxliJyUfrcl3HFQ/pt/3uWPb3LF9UgpS\nSs4rm8WlS5vfCKGpoawV329qHjZLHppzrMxCPErwRMKuGuCrmBPlcdVlHLZb7paKfi2xlU3jZUyP\nH3OQvM8f5hF/UUSM4wFfHY3wVI93zg/IzwNUbvNKblG+WPO9v5bYj8ZnCuGv/dqv8Vu/9Vv8yq/8\nyr/f9+1vf5tvfvOb/PZv/za/+7u/y7e//W2+/e1v/8i1S7ehk5og0xxdCJaJZBmDKmwc22EgJGPd\nYncZkzxnkpe0dkzi7yKtPWy3D1aEv/UYPLFIFoad84ZRphiJFTu6YxCWxLslma9YF5rrCjoHrESy\ndV1S2yUxLr3aBttibGtc2bHdCM42grALGLdDOtcwtz2uEofrWrKKDFvHoTA+60rzbB2SpQlhtcOu\nhHB/yGY6YL51WaQa6SiiqUU9cCiDHDvcYDUl8lFB0CimS4PbCuxGs65aOutmXuCP/uiPPhfbf4pm\nKw2fuIZTYYiGhoNdw6gTjG3YsyVhYCN2JLpOWdenzK0VH1hr5v2UbmPImoCrTGNLzQNfMekp/MoQ\nn0FQO9h2QFT5HF5aHJ5YjEzNiAqcllq2KE9R3dQr4bkQK+hpQV9LbEfQ9i2wLaxWIwrN2Ne8Et1U\nC47G4DpQ5VBuwSqgZyCswF+DiKAysHUjQn0PZe4RcIeJuIPFHS7VEVfVgIYQv5aoICcNCuai+UJc\nATZRRul35DKg7Fxm0uW552CimqnTUkpo8o6rbcNFueGs2hDXFv7EwpYa6XbowKIYD9mMhzRRjG27\nuMLHMyE2CZ3bI/cj1o4gkC3SU8ieIXBcDssYY/lIlVIJl5m2eN4atrWkqFx2GnCcLWWreVyveVL4\nvILDw8DBCx1UIWhtl6Z1mGceO+kB642Fu/C4dRWhpMfZ1qasc6RSOEYz0nDbSHKt8K0C4RdI38MW\nhuBI0bdanEZ/IbYiBk/C7hk8/D7kp4p1XbPrWuwOK456LQdaYq0ddipBvu0QJQxCi+qOTXZX8LRt\nOU1zmrdWvNekrOKMplgSVOco/wXbezM6Z4GpS0RTkdU1l01DXjo0rY1ufOp1QFEG5HVNVjXkJawV\nnGvNddtSVjVCCaxa8lRp/lxLRG5zL3dIRMhPWJJjLOLMZaRsFq7HyoWEkDMzhP6IyBnxH7sDxO0t\n8s4HFMch20mIJUqiKGXgVCAc6Fwspb5wzm5NQmdCQtXH0wPGvZZgmjO1BfciG9N2ZNMUNd3iTDLk\nJMcVEyJ2EZ2L0wp4QxKFGs9u4SMLV0qE1rhOTedsSe05rbjitGz5P8qWj/suH0U7lCLAzncoTUhA\nRydaVm7KypNsatgYgTGKoKkwZcO8m3Op54zMgvtmTaoSPqlsYivCd3pIL8EEHiIQOK80hF8qiR4o\nZF+gKSgMXOo+69hQ9kpSEXDVGZo0oF1OULMJbukRFR7u5tM6aP5ofKYQfuMb3+DZs2d/Zd/v//7v\n82d/9mcA/Oqv/io/93M/99feoKugxhEQbzSjzFCN4XxH0Mmb9jIxhh2vYmRvCdOSYFujvIgrfQcV\nHqNdh9K1cZaSnZXg8ALunnSMdYY7XeLvpCQDC7FvsWxsHpcOs9LQegpvANfAFRZh5xNmPqa12e9K\nLBpmM8OTmSHIYwaZQ5nB6ZXNxRDmw45tXzMxAcsm4SwV/HAGMrX4GR3yhvQpD2wWezaXa8XldQtt\nhx3bVLFLN1gxGFxDBvKHkrgyHCmbYQubRrCoO7R781IZDoefi+0/pqajIqOgETmHiUe6Z9hXcE8K\nCt/G3o9ou5AszTjdfMJzd8O/8jKMMszOXdqmx6Rrmfodrw5qbu0qxo9h9Ajq1OXFcEQhh7xy6fLw\nhYcbrHGDNVVvS+poqkhR+DD3bupt/A4CBb4EQknr2ahSoa87SDWDAQR7wBisIRQ1XF7C2XNIG/AN\nRBnEF7AY3NhfLZ0ecfc3Ud1/jsOUnplS5T2eX4ecOx7rwEbGitXOmsfBJY+pvhBXAD1IMX4DykNv\nHBY64FEccNSvuOOUtJXkk1nHfN7xYrnhk+UFxyOL47GD4ygkDdqKqb0pudijUUNMHeALj6Hjs6p8\n2i4gNQGya6iqlsTWxAPBVNvs5z6y7jizA04tn9PO5v1ass0dqtJm0mokJYMm5cNNxcfU3PLv8yC8\nz37rY+ewkh7v5zZnVw5LdcyyOMZ9HHLveQRBSZrOWNUzosbCVj6Hyuah8tg2LoO2IzItnitJQp+e\n7RCNJHZufyG2YgyeDbsvoF7CxnQsTcO0J+j3Hfb8jkEniK89lK3JnAJXNxwGMDsWXN0SnKctz/7J\nhpN/ecmVWlIOUtp8RrU6gfiE8tUVejeFpwrxVLFMNcVSozaCsrVwGgeV3YhirRpq3XHZKT7pDDOl\nyPMa/h/a3iRWsu060/t2c/oT/W0z782X+XqSEklRXZmGyjKqylChAEEeWIAGBgxPPCdgSBMDtABb\nA08M18iANCDggjw1PLFLsgwNVCWVJNbjIx9fl/myu230Eadv9t4eXJYNq5LUo17VAmIScWID8Z8V\ne+2z9/r/f2NQwuAJw2UkWYeCr7SSX8oFP1MpHnYpRybiYQJfT+BxGPI4GHA7HfHJ7ISb+oR/7A75\nR0zhzUvE25/ww9cS/nJ4SNUq+iiHxN61pdIC/RfO2cwNaPoIWQ4w+wEPDvcErwtOHli+9JbBdzXP\nR1s2gxsILmj8S3rxs1gGBNMJ8g2PcO9xXFumWcNBrLnXOHx60rSmSfbcxHNeims+WGp+sFJkOibz\nztAmJd5O2G0CiqblpWlYjRSrsUOVLT4toeigL+nbjlt3wVP3grdocTRsiLkgxFdDzuIBB8MB/YHE\nO5B4X6/QP1+j3qpg2tPalps65KPsjOVsg5htqHPD5UJS3sYMFkck6wd41QBdDfHz5JV4vSp+6jPC\n29tbjo+PgbvH+dvb21de90//+i8AkM7xy8evMUvOmbc9lZYII5liGUvDyDZ0fc3e1JSdxlYHSP8+\nbgQMHX7mSDNHvOwJLjusl7E9WOLiFb0KwQas9oqblWK/kehS4qHprSQzisJESBMQdDWzvmfkSj7d\nCR4XMPQ0BzqhEYpbo9i0FtM2hFVH7WJu3JDlSlHMBUHt0QcpfRpi0o7+sMOLc4bBlq5ZUOkVt8GG\n/WxOfXABnY+8jBCFJdI9z57c8v6nT6mqFF29+iTr82L74bdz4ALBP8f/+0P6h/8Y+fBua/FkBkXh\nkfYDVHuEyO7B/iHoFc7bYguPbjmiKwPQDUFUcR7f8HP9DYeeYDjxyM2YsDpgl0+5n2lOe4XBYTXg\nWaxuyL0WGUAfgK0FshaoWqIajegc2gqEEUhzt/INrSJAYnsPU/hkhWG7y5hnJdJJTpCMG8VsK1HG\nY+2FjLzXOFRf4Vj9Aif+kGkypNCKbQnuFgoDH33yR+yu/nfkZMdWvXoF+HlxBdjfPKXXCrYXDPRX\niPXbCAe26+hthdtLwluDudJk2ZjHmaQPMtwkYyhqPNmSW02Q+xzNp+jFkGwZ44uAh41GBZpl7FGm\nHuGnHf61IagbYpEjpCZ3LZ01rMWOra7oaYlcz94Y9p3D63oa3YIpkXaBdis648gbiW0PGZkRnom5\nWRtWYcfCxeQqJs0GpNWAxOUc7kvaTUK7OaJbP6J0jgtrWWzH1OspigHRYIL47jUv/sXHVM7H5K/m\nu31ebP+HD/9bLNAI+NLJ3+fBl77MzcQn8SS1MiyspWo8/CYgm9Rkgz3OL3HeFfPTCU9fP+BioVj2\nJdWLmuHzjOGzFTt/w9rfUScZyAzaApFJWAjqlaJa+siVQhUG3dbYXlNb2JBj5J5rVbFwhp0E6xxe\n75hJmCqBdg6FZVBXeJstdgttZal6gzp1DGNHSkRIjJeMENN7KHHGtBzxWpNS37+kebjm4LjmPIrQ\nVUqyD/mT9z7mTx5/SF9r1PbVVKqfJmdfyj9DFpqL76W8c/gf4n9pjDcxqGmPHDucqDFJThPebVru\n2RE7R+KG6GDCYDRgnMXMrgMmpaIPBV3icCnYU0k/dAivQrkt/cBRjSzWjvHsiLhJGVUhfumxLOCi\ncZROUwpF2lqGXos/7JGeRIwrGrFkKxZc7QSf7AWjXuPEiFBNsUHAPpUEs4bZ/YbkKMeNM7q4ROiK\n0rVctpIfVrBEo6II1YQY42FLn2gXUX73A54++R5eGyLKHy+u8TfjCzXLCCEQ4tX8ov/6+L8g15Zn\nSceztOOpl7PxCpaRYuEJxlLgese4cyz8lmVUsLaWVRNjuzFRCsE9BxvAh+J6z0tb0oiC23FOfZTx\n7nXNu9c+i3nPftHR5AGqG6L6AZ6TBAgKYirneNx1tHWGb9d81NQ8lhUzOeJYjcDzKSKFEJajS0f6\nqaD3Yl7qIU3pMd6DLyQL3+P9AGauZVYXnKlbjqcv2ZtrFvaWpZ6zGt+yOrhFFyHBMCHoJUHX89b9\nKW8238A9fcRJ+SZ/tv1f/87Y8u1/iGRKwDdI3dcYZoKJL0jP7s7T2q3Paj7heq3JGgHtQ+7bC37Z\nXZJ2it3ZhLLzsX2Jtjtm+q85uN4SDzT86gh9PePwXx0yfDJi1LcwbmgHAXU6grgj8jLGwMBA3IGq\n7xzm+8zD7T28vSWqLLa26DIGEihCxDxErofAGNqGevcphXjJCI9z5zPrfGalz1vtmHfrE7byHezB\nQ5hNeZT6HJ5KZhOYOGAB37uC2/I/Qv7KG8iff0k//QD+uz/6u+MK/JOH/4R66HPz1oTlm2MOw57Z\nvqctHI/7CrmRjJ5bjucJzj/jcTxhb37AzeZ7jKuS0d7hGcn0RcA3NgmDxwm3zxM84fG1oeRsCc8+\nkiyNYPQMRs8MYZARBrfMoxUfRJZl1OOCGryKmd1xbGp+qBr2rsW3jmMneEv2hHHGZHKLyxr+aaz/\nkwAAIABJREFUfHXBdvcOX999jSEDjkRJYxzvxy3vn7Sc+fBmohhiOcsiptdHPJ+8w8sk4AcK/pWG\nm7nP5csQ40/Qs/vc/9Vf4Of/wX/Gz6kB/Ye3/Mn//L/8nbH91lvfBg9kCv3A8S9Pdrw8ntDjeNFK\nnuw7ttuQrG0wr63ov3xNKi9JuGI7esiL6Jt0POQN1fFN5SG2NeKzBR883PPdM8dtoHAvJXxf4J4p\neKZxeQh5iF5rwm1J2Pa4QUuRhGRuzUu3pq5KbNnjh5LO9wiDgEdBys+ECYei4ICCbdPydJfxZLXg\nvBxwbGLqVFFPJZfmiBf5MeIg5I37JzwcvcZs6ZFvJbeziPlJCOOIr3oxo2LMyWcB764e8e79/5RF\nJJg8G/Hf3/5PXyhn/6uD/xx5GKB/+YDgK0MOxIco27JXLc+04rGouBEte2dxIsZxjLLniP4NwvqU\ns1JzchsTfZTiPkyoXkrWrWU11KwfJlSjGFtL+rrmnr9hNluz7x6xb2PinWG2rKnalu/KnqeuJWwb\noqJGixIVZXijhiTuMWFJIHc42fDkhx7lh5q3TcyX5RGeOuK5rvnUq/hGuuDdyYLQ9XRzQx5VqEFG\n5lW86AU/aASiD9FuRqrGjMKIAy05LR33gl9gePAPGCxGWO+a/5t/+hOx/TfxUxfC4+Njbm5uODk5\n4fr6mqOjo1deJzf3aAPDi6Dhr3R9R1yPOm4TyfPQkdLzoOg46VpuZMmNn9FUGaYs8IOKRinUUFFZ\njxqPPC1Y+4adarmQLblpkeue5GnD7rakmZeINsJXDqkkqewZyZZKKHIkpdmSmQ3YNRei5kZWXErB\npfDR2pEFCuUE8UJyeBlynUQs4ghlPZJG4IWwkY691wEVwzYjieaMkucIccFVt2Ip1qwGa9bpjnBQ\nkgxLXK0QGSibEmoI45DX2leLbn9ubHkTxQCPCb7QhANLnDYI6yicYrvSbEVKbmM8xhyKd3ijfsHX\n6uccIaj1hD0eN23Btl2Ttjne6gLGiv6tCTKaMf7rA8QuJhQZTC02CmhjhYoUgd8Qa8FIwVRCLD2k\n9LEqpfNShGqABocjT1LaZEKsx0RmgiqPkOXJ3RmqdXhYJgTcJ2DSxUzKiNAc8ZXdaxjeZqMesBsM\nSDX4Q9AhjCwstxbv055sXmEPaszbHV36asWez4srwOvinEL7qMEEdTjkwMs5KHKuO8Wm7NBrwb1b\nw+nGYzM5YhO/Qd8s2C59JpXjYG+Z4TjwYdJImq2mzAKmveI4c8x6sDl4uWBSwKQENS6Qk5bLuOZJ\nmPFi2DCJJbMQZn3Nvb5iU1V8uKtQJQTSZ0SL83LSeM/1uuK95Yq2GHLYvoOnHH7dMywbtq3me3SU\nfkeStoS948jApAjY7g65XEsuleRjpajnDq4cI39IcnjEeHrCyB8w9gaYzav5bp8XW1tbhBNIcSet\nFkUhg1iwdB23suO66Pi0dVw3LclgRfLwKRPeY2zfI+NdLpshg53P/RZ+RfSYoqC/XVOeFHw0tIBE\nPBPwRKIufNRliKlTTJUi8h6dFShZYLSjHNRkrMnFCu0ZAgUq0fShxgt9jiOPL0UeDxvHo6blr8qG\nv9wbXmw8VnXJfZeiWx8tfFY2ZWNaBtoyOhDMTgVN2PAsark6qrmcWe4njnNhOCkk/nxAfzFgfdrz\n2aDnXvhq87CfJme/GozB83AqRjifqQPlGnpRUWtHLWp62YGTSBPjGYlppxTthGafINcd/guD+MDS\nvW8oC9iVcKEEz6cB1cwjzAxJVXAo5zwUl2zqhHV1QKIlR1XOsgTX9My7jiO3Y9AU6KhCxA1Matxx\njZgUCFWhVMf1XnD1XOJ6nzM1RkdjPku2LAYFJ5OCrx4tMMpg14IurXBnW1amYF47bvYwKU4Z11NG\nxudAGk5ouF9XnO1K0kVAehHS2R+/ePib8VMXwl//9V/nO9/5Dr/927/Nd77zHX7jN37jldfd9FO2\n2lKYButqurilOcyIvJY3mgKvLrhq1vyfzQLdL9H9ElH8AJYRTfMxq9MJzXTCjiO20THDw5rZI4ne\nRHifJIw/qWhXPS+XPWptSdY9iS2ZhRuCoCUIFIlW2PaKdavomxyaJbgKndT4aUwmap66Jb5TdAgC\nUgJ7H2dOKXyFGlf0wrLtfbTniOMSX5Xcyh07sceTK5S+JffWXIcNC60wKiauHYmuGM52eLYF0VPl\nQ3bdGe3WMmpezR36vNiG7jWkiIApHRFNV1G1e142A67rKatVSLOB+7ngrUiThBG/aI45LwOGRtDp\nkDhQ9HGLHR+S7/Z8uoXBuiT9oSO6CQnyMX4YocMAEUb4YkQqxnR+RpE8pB5tOQp7Rr4lnY0YMKI/\nl2wyiSnXuPo5Rb/mmUp5LlO+Xj3k69VrJKv7cHuPeCN4vXyLcXWDQgKSfRuT7xNSO2TWjYnkjKQ4\nRa5gO4CrBILZHb+Nrubd3YL/ZDknF7fkR3OuhvkrmYSfF1eAoT7BqoCWGSszQZsNYb8lqgyPtg5/\n3zKkRYUFp+4pD4otXXtF20JQa6hLmkHOeramenTLdONxshqjX0ryOaz3jrLt6bsei8JFEW1YYf09\nMlxxkF7jZhnJkSCd3W0vZ0bSHVaEhyXdreHJQmFaR1oWJPuQYnuPl6t7ROItPhsMMVNNcRyzO0oI\nZ1O+1k849TxmE41QGzZn13TnV/THG4bTLYd5QFGEtFuFXCuGdcy9IuDwoyFG+1xogbd6tevx58XW\ntS2lE9zmmhupeFZoli/v7JD6gcX1DS64xg+f8kb6Q74UfYgTV1jbsrre0z9+zPA9xb3nAadWcqPn\nLOOK3Lb0yxaUxSHRccjQGzNkzL4ZsM8GmKqh6nd0okJtLbIr6cIOFziMhHYAbiwwY7CpoSEj7wrK\noqbKW7qdhRyCJmDoDjgNTjkdhZweh7wfhjQa1icXvD9reTJ5j8NRx8GbLRzcda9WbUrXFWzqPefx\nOcnxETeDlg9Uw244+kK4ApxtfdAat5eI3DHoepRouad3fFOU3Bc9l1Kxt0PO9oKzvaEsM7LqOd3l\nLc8+K8ieKKafHpM+PSLvDii7A8yRRM8tKqowyY58vKZxOTe09PslnfyMJta4Qce2aellQ+R1RHjE\nzkMGmjYNWacBWZDQaZ9c5cTS0CYd7dSxCBve0x3xwHF5ErC7N+T/eH3IZ68P+cX9hl9ebvH3GVdt\nwbOugkXDa096YqWJQ58Tm/MgkzyoM86d5Ehrau3ItE//eXzZfhQ/sRD+1m/9Fn/6p3/Kcrnk/Pyc\n3/3d3+V3fud3+M3f/E3+4A/+4P9t631V3PYz9r25K4S2posz6kOfxFbMljW22fC0WfGX7ZKHZskj\nuyAsGuR8QZHf5/reOddHD5kP32E+ktw/1Lz5UHHURiQ/SIg+q2hkyUvZcZgZjnYdR7LlKDUkZCQa\nRhI2XclnRUmf97jSIlFo3eAPGzKx5CmGAIfGkbojlJ1izBDpO+SoxniwtxqtDL5fINWaW7lnyx6r\nlqDndOGa0te0niIlJq18hqpmNN0i3I6ybSn9jFW3Y7UznEkFwDe/+c2/E7YRD3AuwIgpnYtouluq\n8pYsP2S5TyhWIf2PCuE7nse72uOeOeZecYTfgfEEEdDMoJl1FAZW+yGHqxtO50vU0hLnKVEYwCiA\nYYzfnOHXZ+z9nk26wYwzDsOaSWQgPYbkhIVpuW1L8v4Caz1WXPEvdMhfeAHcvs7b86+SPHuEU2fE\nNuH1vuS1smJBzxzDrknImwFjfEIg1YKkgHAJVzF8HEGs4DQG2dV8aXvNweIz5mLF/GiJinw++QK4\nwl0hbFRIyxErMyPsI1LjMSkrjjc1ft7hRIOKdpyaLfdzWGYFi73AtgrhOpogpzxYo740Z7oac7qw\nFDtYfAqbuaN05m61G0mII7pwT+OvEOFzDtInBLMl/kPwziXGJmQ2oT+pCU4LiscdTxrYXUneqUKm\nWUS+Oefl8mvo0QmvpUO6+5r8UUR5f0xgj/had8JQd4wmFSau2JxdUZw9pj/JGE4yDqsBfZ5itgFq\nFTBYTDj+1GdmBhh5p8GZJOEXylnXNBRG8bESvGcURa4pC409dohHHS6tccENfvwJbyQf8qvh99nI\nkgUt3n6P+asnjP6s4fR5yomJWOk1u6QkNw39qsNpA06i4oChN+LUHUMzpMiGNE1Fj0ayRW93qKyk\nH3UwdJgBmFTcdXyNBS61NHVJXjUUhaPcQrsDMvAbn5F3yGnwkK+OYr52nCBGJU+TgovpBS9mH7Ob\nlAymDcNxyz0z4p4Zkucp2/2SospIEk1w7HPjVXygKrKR/UK4Atzf+uAp2AsoHKLt4UeF8FQteQfB\nY45Zt0Pe3BneuG54ku35JHvG+mPLs+9uuPkIHs3POF2dkfM2FWPMqUIvDPqoop3uaA7WFCanMC2h\nXBKahibpaNOMvM3pdEXod4TNCVF9jAkOaNMBdepTBpZae/RyTiItJB39zLBMGt7zO8QI8rOQ6oHk\ns0dD/vj1If/lkw1ff7FFZ1su25anXYVYFDx4UqJDHz2IONGC1+uGR/WWe85n5EVcaJ+FHtCH/460\nRv/wD//wle//8R//8d86cOgpjIBZrSk3HsV+SFEeI4ce6v4a7u2ZdD26qzhZSUbrAZGW6FGGcrcs\nrMI+F4T3NNPQceJCHijFkdeh/ZxQ9xxWHgf1iKjWBJ1PImvCugXV0IY9hexhZEiHFl16JPsAuoAk\nimhdxNHGcLw06K3BlD1RYjgOLjl64KiPC+ppiWoikv0QV3sY0bH2WpTYcBRvqeUFZbemrwuIPYSv\ncY3GNBG9Sun0kLCDcdmQFEMMY4p4iiIG4Orq6u+EbU2K6iVx3pEWG5y/YuEvORIlX64zgu4Alx6h\n/QnHPhw7GA1B+3ecPtWCCgQMwI4VjX9AfmSZXB8TXORI7VgfB2yGMPK3DL0t5eoe5e4+fSuIKNFB\nTTjsESMLkwFMhkRNz0HZMmgOsf0hQ7GB1OfeIOBnj86JsjN4eIB4O8TeKOw8xCwVYWE5KCyDwqcu\nPIJSokuoAR2ATCCp4fACYg2zCZTWZ+MO+bTvuLytuPyw4eLEfCFcAZYmIu8DBq3Pw1oj/IBlExMX\nJePNnrScsw+vsf4Wz/OJwoDOtCy7lgqDahyjuuPB7YbzpxccNhZ1mOHGIcbzCMScM++SJlqwPYCP\nDgQmmWOTW/rxhmTYoCLH3oOttli/xQaQhY4+1bStoL2yVGtH2/fMtzXPqx5jHANRc6oXvBHlmMmG\nZrZmflVye1VTbyp0n2P7l9T7C9xqzijNiNICr+zxKoehRQ0rpmLI66bltIeyhLICY9QXwjZ9zcfG\ngtfOHc1Jy8tLy8tLSzmwdAcBpB73ZY8c1CRjxVIMMduIeGWYvRjhdgKnSj46bVlNJetvzFn94oK1\nyGmrkmTbcDDvOFpo7m/gnpOo0LCeNIyM5aEISUjZ0bPFsNUhWzvBGQFGEtQ+g23EpBL06zUvNhtG\n0nKiLPrQcTCFqNNMa0Pgaq4DQ5k3PBd7pNkw0Tl1VBGFDUlqSYXly1LxdTSbSPJYwG5SMBnXJNOW\ns2nNP5qWhOUXmwsAPkQRGMm0Noz3ll2j2LsU64ZAw6KzfFpqVnsYLj1eW8VUsWB3XvGi6Xl5WdBs\nej6OFceHDU7WIFd0Rz6yU8SbZwzjG5SfYcY15rBn7e9Y+RlbY+nzjqxpuIkbGmOw2wqxLQj7mHBd\nMcwlztf0nkfhO3K/hr2gDoDmErH9a4LdLcHex90oupcZ3YcF9S08v4i5d9ZxPAYethgl2L7pmOqW\n6WXOg0Dy0O848VMGp+B7msGhx8G5h2okfPq5IPz3pywTeRIp4KBW2F6T7wfkhaA+kLTHLW6oOZCG\nQ1MzfiIZPxkQjlp8XUDZ4d2Ae2aIfEc4q7lvEx7KkANPYXyL70ne2ce8vYnpTUhlI1A7PDZ0sqbt\nG3LVQKIZpIqgDgg2Q1yR0kif3gUcbyyPVhax7iiaBv/EcjK54N69K1ajJavxCm8dk9QT2s2QmzZi\nKzUn8YrjgxV7O8eUG+qgQXYBIghwmYfJI/pkQDesSTrJuKhRxZCSCZt4irbxF8K2JiXsDNG64WBR\n4Y5XLNIFZ8LxM/UF9/tTXKoReozXgteCHoI6BlEDmzvDUjEQ2ImkOZ6R+0N63xAuDDKA1amglB0P\n+jnDfkG5O2HZnOA3HlMsiW9RAwcHwLHCHSniwuHvLLasce0bGNlwduDxy4c+qYmJTYzIPdxOw0rQ\nX/v0Nx7hrSO5dbhbiZ1LzJI7fcgOwgCCFJISjtcQx3D4AG5syNod8XGveXpzxbMfNFTm80sq/biY\n9xGm8xm0Pq83HpdNwFUdcZxbxpsdk+qGfnxB4a/w/CFROKDtYdE6NqaH1nKvtvzM9ZYvhxf43R51\neIUbJxgvJlI7JsFLbLrgL47hw9dARLfI6IZRtOUwaglDWHswVw6btrhRRzbw6ScBbeUoH3d0Fz3z\n3vDRtsdWHdZahqLknm55KwR/HGCmCf/6Wcnli4a6zRGssd0N9fYlyr9lNCw4GZd4OfilopcNeiw4\nTsZ8lZaHPSxuYVE71u6LSYENXvPxpo7u6z3Bux39Bz23H/Rk0qMYhugk4DzpGY1qgrFmLkYka0H6\nWKBfBPiZYuOVfHDPME9bwp+/IvoPrtmsWronlvQaHl0L3nqhuN/CmRWsI8NHQcUJir8nAg4FPKbj\nie2xTci+CbC9hl4RVgGH64Spg/7C58WV4fSkpzzu0CeOo2NLqzxmtwZ/W3LpC97PBHu7QvRzZqrA\nBS3DyBBOJQman5U+/1AG/Esp+ZPA0UxKHo4bHs46HrxW886Dkt3u85vH/rj4AYqhhbcqw2hv2NaK\nCzukp0TQcNN2fLjVLBeCs7lHs4opxpLdazXPbcN7z0pudw2zo4YDu+FcLTlXz1FhhOxDovWCUXhD\nGuX4hw3+Scf7fs5VUHNZwWKp2DXQhh1OW3pdI7qcsIgJ1glh6xMZHyE0y9iyjGtqAxsfhLtAblrC\n7AnJRUroJRSpR5H61CU8LxLileFs3HNsKlaB4MXbcH/R8ugi5yxR3D+0jKIOfU/Akceg8CD3iW8k\n/G+fD8N/fxJrscTrBceFz7RWbG4125uUdRqxHsTkgYejwPY5+95SSUsgSgKbUfcCv5Gc1h1TuWMW\nK9ImBOGzDTTuWOL3Hks1Jq0dtrZ0nUS7gNjEdI1lnimeasG2VyAVcROTFkO8YkgsQ6Yi4MAYQmWQ\n0wL9hiG5V3Hieu5hqcuaedvCAuyVwu0M2BZ8j67KKG3Gpum5ajzWiaMYg5l0HPgtflSzoWTRFwz6\nlhNfEaQBF6HlhZfz0Hx+n6xXhaHFVi3usy3iB2umR094dPQZD7aa4+sBM9+Dt2o4AdcCDXfC2jHQ\nghgABswALIKh9RkYn5MU0tdAzyDRDil7POPAeMh4go4TdOwhxyAEkHFHg+rvxpU9BJWDKsKVMU4Y\n0kAhUk2nFY1WyJHAS8BMoJoK6lNI1xCtHGJxp0O7eQqXH0N5C2cWTvYQFzArIVhAdAnCOerGsNct\nlcvp2jW2f/U51k8T29DhYkc/NPSTFh20xLqlEB2f0BPQsJYZndpgnaNv4UWrWbSaMpP4C5++d5gK\n7FWLEXuErMhfOhZVj3A7EnONZ9fUCjYhiHSDSDfYpMCLDDaBXSvZrwDpcKGlVQaR9oQzCE/t3bl4\nb0k6x8grGIol7/ox/t5SXICXaryywKygVC1J2BKoCktGmfc4JdEPFLHvUSeKi5FE6I5h2JHKBav0\nCZGOaCYRfhIRf0FJTB07VGqRE4M76skvam7ChtVOUu4K/PEN8u2XML3AMwZ9k2A+U+gfSOrngtXG\nsukr2qDGUxVlk7PZ1KjS8mWhOFU+77qIRyYhth6Ja0iEQWmN0ArlS5CGxkJhPLQLmbUJpfCphIcR\nATUhrTFM6oTpPmFwXmOPLW7co4TDNIbrrmfZtywqxUIqOuswDjoMfdMQNh3jUDMdGupW8XGb8jwa\nkg9i/CjBG0N40OANBCqMSPpXN8v8VDmLoANS58A6rhvNTR7SzqfwMuAmy7gmY2XWPNsKPt5K6oXl\nOO157dowv4Fua2BYsB1nTMIVdSgIlI8SAUKXmGxOed2yjBvKuOX2pqe/cfQrRW49itARqY7YGuKu\nRbc1oi+BghaPzkCvOnaJID+Kaa3DWQcSaHKUdaRFTZqXmDyl8FJyI7nqUgaJwH9sCP2O+KTlwXHH\nAxFyHkTEQlM0jp4JiTjF45xSjMkDhQh/srPH/y8/v/Bd+DHRDwR+JTlYacY3kvmVYP5C4AczGn2f\nvDigbC1FY2iziqar8IqCqBgQ5oawCnlL+3w5bvnKZM2zRvIDJOtAos4VwcQn0yUvu5pgExDsfYat\nxwFDXBvwcl3xw6xE5Q5dOdImZrIaMCjHuCDChRFW95iDDvklR/ofZxycGE4+0tx7rLmphjSlxi7E\nnex8JZFhTzi0VF3HNZaXjceT7ZCFaikHFeK8RfQFs75hvljx8maObyxnwxHRkebxquSJvOGBe3XX\n6OePDFtUdD+8pfvnV9wbfsA3B+/zoJ0wyB/Cw1N4o8fdE2ABAyju7rYFcQCug74D08JpDqcdjDUM\nvnKXm6qH3koiOQAZEJwGDM8VogPr3RlG+Fd3ut5Mgam700PzxJ0d+C5AWIfoBDhBHQry6K5jMI3A\nhJDHkB3ebdWmjUDsgB1svw8fOljXd6ozp7s7sr7uQS1AfwZOdphyhwlu8eNbxumcLBzzk93d/vbY\nDXvMWNAe17RnCmULTkxOFjT8aQCVBRu0+F7Jbau5KhWLLGKRSfRcET2LUVtB8TRiEWsSa0htz2az\n4MXuBmGWhO2OtCooW2gNWNVi4pZ+2NMMDUYL1oWk2kowBicNZtCjUst4BONzx4Fx3MdxHzh9uuck\nuMBuRuSLkOcbn3bekhw17IeG/WRPIj1GaPrCsd0EtHaIcxo5DriSCX8ZhARZxXlW0gTXFOff42K8\nZnZ0zGx6RGC+4CJD9BgsOT0LOl6amk/bgt1Vi33e4h0/Zv/gI9LBJwx3h4yuDhE/VOj3BOtlz5Ou\npqTigSt5ZEs+/KzluZW8G2r+ngr4cpTyWjJhlqTscsOuqdBCgdBUUrIIBaVnedEbLjrFqNbcF5q1\nDJirkFp7LEKJ6Hve1B6/RMJgYlBvVPS9wVx1bFYtnxUt26an6jWV8WldSEeCX7ek85rp2jCI4GgE\nz3cR398eszyaYB4mHHsjjkeK6UHNLghY1ikD++Mt2T5v9AhKAS8ULLRi32qyrU/7/Rn9H50w3y1Y\nv/F9NqdXPKlS4jrl4TPDl7aWyWNB+D3N0Vwxf6NmOytQSUY/yPB80L7EdoIsE1SZ5VPb8WlRkz7V\nDJ7GBMpDTgK8wDCuO2ZFw2jf4e9qnKpoooIqlOyalsw31I8k9VtT8tJiKouOFfgeKoLwZUtaCra9\nR2cDdi7mxsb4uUf53DASPaLteVNaTvWQ44Mxe+PzohO48pTT/g1G/dsskSycZNh8/tngp9Ya/fa3\nv83v//7vc3h4ZyX0e7/3e/zar/3av/XdJq0RTt6popcavYsw65BuLWgnBiNA1beE9YaqzMiqPSrL\nabKEcd4yrARTJAd7wdHasNg1mKKjMuD7Cjf0WYwFm4kgNQmpSWilj7A+WM3GwLZ3+HlLqDoGrcXL\nLVFraRS0COpA0SQwnHkMTjSTA5/AD+nrgG4R0s4jzMagtndt/rHuiZWlVpZKappGU6wl275hfyuw\nE8dx4miSnu3KclmBaAI6PSJOp9zEknWcszV74N/WF/y82GL3yKokuFiQfO+Kk/AFb4afMRueI0f3\nwZO4WNwpZ/+YUA1EaxiWcNzCaw34KZAC4Z0xPFLe8RV0gJ8KmApsDq4BtwQ3B66543peghgJmIC1\nErOTOAdqDKpw9PbODstpR6QEROCiuzrdCagAXYGqoFVQLCEroHvBXaNCD37HnXTqBQSq56AoOFcb\n8DOquKL2h18MV0Dfq7ETQ37qsT1RTNqGcdNRZJZnE9hHkmgiSEOQm56uqGg2Ht0c5NyjX0jKrWSR\n+bzwFIdVD1XP3O14wgWWW3xTcdA27HMwK/A0xAGoEHoLXX+3KIi2oIxENqBPAe2IfcfZzHHWwTni\nrlOuajkqtyx7yyZPKbKACEHfSMoHJe14QycndG6KciGjTtCKgGqb8Py24ZaInY5QgUN1Fd3AUZ1k\n1Kdzek+gYoGXp18I24yKfe9YbS3zC0d+AfZS4J7V2E+31OUt9eaGfTenKyLkZka8kVRrRbl27E1P\nK1u8ruHAVBxd9WxauD/wOU8SzrMxp+UhaTcg6zOyLqNG4HAYbaiEwXqGjerZaMOotkx8aLVkpT16\npcgxRBiE8BmrIamSJEqxzjPK24zVwnCrW9a6/pHxL+RdQNaNCBqDKe56FOpM0fSaZ5uIjy5SnBgQ\nnUbIwKdMDatJza2Imdsh5+puUfxF5lqfDmtgVQrqDbQvQ5pkTP2vQ5o/H7IuA3I+pZENS+vxmfU4\nLHwGVz7iueXh3NIVFt82+F7OWK1J5BolLRZBaQLaOmVT+TzzDR/anodPfdKPQ/Q4QA49pO7xK49w\nJbFbR571iLSDYU8Z1GxdRzaw2Dck9itj1A6SncCPLX5oUJ6D1mKals7k1MZQKo+9ClmFHq5tqXYt\nybonHVjU0Qg7HpNXMVdrD1OcErSnaHPMXtVsdEXvzI+fAP/m//4nffgqrVEhBN/61rf41re+9RMH\nLuIFrRG4ULMLNJ+oKZ8Yj4W17EWFVBWnfsDMHXK1Cbiae1AHBCYgbBv8taXK4ROhuNkoqr66c05v\ne7S1yNbQFy2dX6EHILA0cci6C7FWgTIcyI5CluxsiaZmEve4uODZMOXFIGWgNAPlEWaO0ZOE4Spi\ntUy5NBHXu4L+Koe6xbiOOKk5mJQMj2qKgaTQA2ytqecK+6Klv1Rkf+VRv2vZvWupFxJaO3rCAAAg\nAElEQVSxjnF1Qq1OkP0hYTTm9EAT/ej+/E19wc+LLV2G3+Qcl2vezpYcNTlB3SNfDxG/coj7xiGc\n/3+q9q9i0wQOTg0MehgHoBLuqtEz7vTOTgTMHMi7lxqB7wlcC86AGDrUHrgF9gJxKeAYkHdqMwXQ\neZCEkCQCp8C5uxeAB0zEnUN4ByyA0LvbwQ3P4OEvw1EMB98FYbgzp9w5qAWsYCosv9Q0jNOa/0sK\nXkYR1ht8MVyBR1/J2A58Fmeam5lPYwSNCajxiK0gqBXDQUoqR0QluKojunUkn2n6tcfeWLqBxBtr\nTCJ5ONeIRvLCenxfShohsU5w38BqDtRwuoIHSxAnkJ/cWRaNt5Ymh3CviJ77zN9yXEmH7xsOtWES\nOyg91pXPWmg+TOBOiDTD7yuqRNPFilYL/LUgs0OemAGnJuENz+LJnr/6uOW92w5zInnnRLCXMes2\npQ19xu6QyJtQHAQ8DyTquvtC2L4QW/al5MWHPpdPPJL3En7uvZj1rWG72bKNO3YXluqZpbUFJlzh\nxhHiNCRuDEeXhrp02LFli+Nt7fhFB+baZ90OeD+bsF9PGO4HPLWap0ZzY+6euKVrCcKawOvRYYnQ\nHaLTqM5Hej7Cs2AdlDVd03FrfD4KDvnqesa7H1o22Q3LyxdcdxXeacP9wwxfgC8Fl4FPKw/orCZz\nLUhHO/CYH/nczgPWlUVWNa3puZAdfx5aVomic4LOxlhxt+f8RebaQ3KqWnB5oZlXiu52QPfxgGKR\nkPdDisjD9ufE+S1S9rSiYrOXXO4FzcZRxQ3+oOJ0VDHzKsYtTFYhGyuYO8XO+VQyZB/d6QcfIIit\nxvUBBh+nJAZLsfOQVwF242ELhR9qQuWjx5JkXJOedLh3JPb1EXbnY3cBIqkRYY5WNYVzlKFlU24o\nqxvaSOPiE0QaIpKYPq2Zi56LLWxmY3bxhI0ZsjQpqrtHJhJST9CGAhMoavvvqBC+SmsUwLm/nZ/x\nz97/HxGtQKzhy+rrOP1rfOACcmdw7JnJPRMleFOO0aXEzSXWaoJAodoat+1pbywXe4/mucc4gYOo\nIhEG3SpoJFV35/qs4gapoWsEWeNhjMT3Ladez1XdsG1ySllRxT3Gb3g+LPn+sOS8TzjvE8ReMPws\nIk48nq2HvKhSiq0PNxIta3RaE8WG2bjn+KAiiwfkDCkLn+1Ss7toWNaOXSio/75hpyzNfoBcCJwZ\n0YUnrJ4s2H//L6CE93/ULPM39QU/L7b8N/+MbtWw+e4akQsOvRK/MsiBh/u5Ie7nBhhfYqsOoSXC\n+zdMvR8VRQe+g0MDBz0IH0QErIFn7u5JbehwxyBxd401iUCm7m4E4RCBQ1xwd+64BG7A+mCPHXUA\new+aEIgFOhEYC8KC+NHPU9wVPc1dEVwCqQahHf6p4H4AdsT/Q9ubxdqSpXV+v7UiVswRez7zPffe\nvDdvVg5VlVUFpXbRgirskky7kS15wJIlsBBCQpZ4QeINJN4KS4gHkCUkYyRe/NISMmq12rLphoKC\ngiqarKRyupl5xzPvs+fYMa+1/HCQTTcJzqqkl7TfIrb2/sWn9Y+I7/v+H4OOGxG8/JsfX1rYQq9r\n+Yzd8Fj8OR/8+Z9xvZlT9pefjCvwrT/+X8mVy5NvRlz+F19G/PAPIEyAbXyS6sYCrBf3iHWDliVm\nXeFduiRPPNa1zyy2LDIBQ5emJxGFJJxZTvD5wA0ppU9qKqyF1RLMArKt4HYucEpYtoJtDHUBXSmI\nCo+oDAgcQT2xuIOWHRpGnqEpPBaNz1Q6TEPNYFBxKywZ4VBHAZXysbkgmkPROiy7jMwbcJxYehj+\n7fuary87Xvt0x2uf6XieWB5JyHXEPTvmyZ884r0//DYtHXLGJ2L7tf/rf6Y2kkXtEw2+woP5l9n7\nrsNVueSJMXT9jvWJpXli0f0aMVhBZmAP1FyQPTWoDTSeYB4KPrUW/FANDxeKb15FXG0TTJcwsAlP\nFDz2BOvW4LWGVEmySqOiGuWamzljTYdpDVYKrOvcCGGt6QrDuks5d1NeW3mMP/QJCpf1bM4qLDkO\naw7HG4JOErQuRkUsnBHLzqPUW1qtKT2PeeqzVj6bzqK6GqtrrkTLdzzLd957RP6Xf4Bnh+zImzzW\nJ9lr/w9+m7oRTC8l/vUX2L34EfQHPdZOylykNHGH6vYI8zGeWuCogu3a4fTcQXeQJy1O2rKT3uTD\ng1wQbH3qStE1PoWvKIYudWJxHI/MevjWBxsgcFEOuNbQbH1WU01ZKcpOkUifXhDQGwp6R1vi2w3c\niRCHMTJKkGGKFhs6LI0xVEZTqJp6vcGsryHZQ/YdZBgjvRotG1ZGs9hAYzPKuEfeTLi2YwJ9wMaN\nefzs3/KtZ39A5Wpk9fHH3X1fOcLf+I3f4Hd/93f5gR/4AX7t137tI8eD/NdH/z2maaiSOdVqyTL7\nM+6GfbYKtk6L7Gqur2v0tCY/N+i5JFAOiQSntZQbgZ5K7m0EB9eQe4KZclipiMAbEDgZw1Zxq/Wo\n/JsqI3wPP/fxKjiUAkdqTn3JiQpoRYByB0g35TOew6vGod8KBo1lbyUIzyW1I2gvG8xVTnRVEuuG\nvm/YSRz8zKVKXB4HLk2Z0p7vcHVlOV80TPOKsukwTcfmfZ8r4SNWewxmB7j+iGAvRcYu/v41y6fX\nvOYnfIt/8X2z5VM/zfB8wY88eoP/nDeZmGuczsLpGvEXT9heJ1zJllW8RT7YwXlxl6EUjLlJ4wFo\nC1UHTQXBHIICxBS4FJSZYT40lJ5l5FuGHhS+YOsLcAwKg+tqvKxD7WmEUoieYnO7Y/FSyybqKLaa\nWgguhxGEIUNzk0aMfVDy5uHzghsRbLh5KvQxuGi0EjSZpLklaX8I2OdGDBcCPtTwjoazKWL7l3zJ\nPueN9Ijv7h5S/Sf34Te/+f1zBf7Hf/4/MAt8vrU34o3xkOx9l7RQ6GtNc9GhjcAOfUoyug9b9F83\nqPME6gwpJShN52k21nLVWiSajWu4EjuMPJ/YHfCK8x5HsuBNBy4lfDv1eJQGvKAUL3cOx5WD7Rw0\nDldxzDSOWAuP6lIxXBsO65KjtuCZzJn2c662W57rilUtMCUYEo7cPiOxiyh6JMseV+0xl90hgXJx\nmpxANNybwZcWkvA6ZnPtspUBbhZgfI9Tx+HWj3yOl/7pAyJd4L9l+ZPf/GhbwI/D9r979X+ikh5X\nfo+ZTAjfywlXG2azKxarnGmlKc8dnA9DhnsBd8xNxeImjljcslxIwXoJDhLfeshSsl53NCuLzRuy\ndk3kWgJvzTgT6FQw0Q6f0Yp9GfApBmzqjodmi3YbFnEf5IBNk9K06c0N1nJDtO54tUz5sTolNZYP\nHJgGIYPM8oqqeLnWHM9b1o7Lygm47bhkNuOy9Di72NBeGx68Jbi74/Dd2ue79xz8ocu4Eww2LYG9\noP9DDg9+9Id54L/GroR/9b/95kdy/bhsf5b/lsIXnI4EF0MHMSgR/ZCr9ZaTq5pltaLZWlQQcc9r\n+bxn2KC4SHzWOGx88EKfsdQclS3PtjXvrYEuY8+OuOX6OFqT645v25RTOsJAIPqCSQKZsBRWsPAE\ny16AGMUoFZMdDBkcD/EGljJQ1GVBtHSJL1yG1x7Da4/gOsSbRZi1JqclT2GhQhZJylgOmbi7hF2I\naDt8WfHA2xAFHdNEMh0HLJiwju5Rbg84lRE7t7/IV/r30as5fXnFv/y//5e/l+3fXt+zEP7cz/0c\nv/zLvwzAL/3SL/ELv/AL/PZv//bfOU5etnQiJ3eesdx5RNzzeSHwyZXLteOwah1m14rzx4pgGuLP\nQ7xYkoYW2RraDTAV3BfwJQHvCMGfCskqjNDDPVS6y7C13Oks12OX81ihjSTpJFnbMnYEY2l47koO\nHJ9zN+HKG2Jlymd0x0u6w+kEbm1hJdCdJO8E7WmDPW+I2pKkazhW8ELi0GWKv04cngQuVCliu8PV\nVcn5csX1xlLqDiM68ocJXPYYr15itPg80WAH91MO9aDk8sP3uHxnSTH86Ef2j8uWf9nH27TsPhU8\noGSkWxxzI4T8+WPKDyQntuZZv8J1JOr+DvcQZNbeCKEQaAuFhm0FPAf/KTfFKlsoR3DeNyx9jUwE\nwwTKTDLzACwhhlC1kFU4ey2yFyL2BZs7Nc9fKlh5NXreUjeC9VCwDkM+Z28G/SYeCHmja0+BD7h5\nqIyAAQaXDqsEjetSxIJ2T2B/EETJjXp+3YLtoJyC/nfY/A9oHt5ns7hHlX10W8rH5gpk1w7Glxwh\nKWpJOIsI5yndtaSZQe4qllXMWgzpPtS0b2riRiG0h4gNeA2datlQ07UNGzpO3BacHYbhbW77PV7x\np+x4J7znwaUHH/o+Wy/lR72Q11ufl62HZ1y08PhWlPJBlLAWCdVVjC8sh23OC86C6/FT1sMVV9cl\nz3RLVgOFJBSSI99n4uyTFLfYWR4TNANq3SdwK5y6IKTj3rXDlxaS0+uY0+uUIu7jDvrUvuTU2bBm\nzS1tudV0qPyjK/A+Ltvm0sWGLsm+Qk18/PUl/vaU95mxKLdMyw5z4ZJGAUMdckcFXOuQyzjk/Mjw\ndALzjUBcB6hpxHrd8Wxasp/DXtnQk2tCb0sYeYwHGcEko2cdekaxW8bsb1Ke1C5/ZCqM07FIMlZR\nD7OJMcsYKg3zDdGs5VWb8s9IedvUvO3UXLkhfQEHVHyhrrk3q3g/Dng/Sugph5fo8ayM0Zcb1pXm\nlbc6vjQw1Hc83r/nEnoO41YyaCqsvcCNCm71e/xgfwdHOB/J9Xth66KJPMveriZ5AbxxiBo1PHvS\nYeYatkuWhcXzY+55hq948E0reSd2OFeKOvAYeyGRbDiqKt7dwhurjmOR8nl3n9teSE8XbHTDiXXZ\nCJdekCMHW8Zxy1AaauvwjuexzRzUsE84GNA/7DE4ytBKM9u6VKWPXBoS1zC4UNw99xkvDf11jCwN\nK1GxSi3LJGJhOlQ9wC93cOsA2ZT4Ys0DKXlRab6eOrw3DrnudqjCeyi1i6SjaAvisynxe88JRrO/\nl+3fZfg9rr/tefczP/Mz/PiP//hHHpetOgrRcq1KVt6GZVeD9OnaiHae0LiKuoU66NgELU3gEKuO\nPgbhdywParRtGeUB403IyumIlGUvhf5Q0EsEfmXIS02daIhrCukylR4kll0l2VU+C8djJsE4IQPp\nkGjDrbXmYN0hNUjbsagczmvJeQUXK8O00kjbIGzNtXW56nx0Y3m/cnhcKrQC7TecZCWXoy3GL9lT\nmkAI5BbkwjDelEy2K/xMoj0Lgxzn9gmoU9o2gr/bP/ux2UJKTsF38UmQZAh6Fu6uNC8+bvEXG8bB\nGdZanLLGtdcodlmwwwUxC6uoHYcwBD+7KeFvHegnmnGq0YOWMKihrQmWNSxrvAPIIsDVKFp8t8Xt\n1YiDDqwC6+HvdPQHLUYaNgbayqVQOatmzrnSZEqz63YMZUeD4IqQx3/zHxIkWxwukKRCE4makS1x\n9IZtnaPY4gVbRNCAajHOh3TiPSqT02w2GLPBvv3Rfpgfnyt4lwbXN7Rdy6qqWTQu2kr6QjA2fYLS\nRUx9RJdS5oZKaPYCeNmBZVzTxgVOCKmvSbyWaFQRRTmd8Who6Zstme7IWhi4komQOE6K8XZZRDHf\nzjwK16dX+niNz1/5Pm9EHtcmYrmO8ITguRPheSEnueHcSqo8JzYbgqDEeBULUfPQyZl3S5puQK1L\nNmFCEVnmvsNbrs+sCXEXgs8ZQbLrIz4b4BxHqFGKHkHfK0lKaFrBk1awu/3o/omPy3b3UQlZhw0F\nZlhRhqeUO0+QYoUOCrS/gjsF+qhmFW04qztmjmDq+RQ9QxgX7FYtwTsewUqhTI+idBC1Zqgtke1Y\nNh7TKmBtQlYqIpQ+oQzoq5SRzLjC58y2UHRo10M7ilulw925wJsrNkXC0BomKkT6PmbS0By1sNWE\nZw4693hYGZ4XkrPK4axykSMHFUtqPyTzxuw3khe7LffKgk8tK56F59TJzcR7HRjwHYSfEkWSkSpp\nl3+/EH5ctmu/pg00y7hm3Wtv3KD6MWWmGEQCYUAFAlyFKTLmi4jnseVhYimTjsmgJpIVF1OPbjZm\n1fQZdS2HwYBbYY/DQBGhCDrNLeXxYuaRehFqNyd3KvKgpS07ZGw5iiRBmBCECW4XoGYuSw8afFbK\nYhuoc4iLCb1qwqBq6ddDnG7NghVLNtRyjONovPoeQbfD1pFcDjfItMI/8IgPJ+S7LyDbuxh5QDlJ\nKKwDG03bWpZJh7vT0HYfvR981PqehfD8/Jz9/X0Afu/3fo9Pf/rTH3ncYKORosM6DWu3YjaBmZCo\nSpJdxvhuiKHG9Buu6paLEly3IZEGG3Vs7m4we1v8kwx5Ikm9jiQxpD3DeNCRRC3rdct001H3WkzS\nsXYVD6OEa+ux5znseSGdlLTSpW9dDqzgsGjZL1v6TYs0LVJYFrVgupU8KSzTomNmW3KryelItM+w\nBgrLVS6ZhYpy0FGmOZvxhnW1ptdtOc40R45D+Z6lnDYM6yVjc4JUM4q0o91b4w0+wLn/Ie3jMfzV\n98+WNGVlcv5UBbyLIsEhQfCfbaDfWO4tS27tXLE7yhHdGfBd1rzOjM/zDMn7CErp8CCG4wE868Hz\nBG67mteyhn5a0ksLeiYnXS9gvSAKO7wdDbQ3Nwlui+x3SEcjfAGBIA4ku4HE1YpW+ywdRWsldS05\nd1q021C5Jb4oaKzDTIx4Rp8YlxjFYyKMjblPxZfENfvdJe3qOZvZCbF/getf4HQ12JtC/JoZhbW0\nVYVtl/D2R5dLf2yugHehEX5H3jRcVBXLyLCMGl4KQvZVj14VI6YBzjZnUxpkpDlWLZ/3W6ZRzirS\n2KBlHEhGHqRZSapmbCqH+dYn3swIVxVhLRhJhyPlEtEjdPfYRilfHyr+2vM5mEf0bMibnuXNwLLd\nejR5gBQu7yXQ2JgP1y7PFwnuZsbAzgnjGW5yzZKG63xJt76g0TGNTUmzgN5Bjy6UrK3Pztrwuanh\ndQHq2MP+U4/g0CdUAY60HFuXrBD8pZa83Tnw97S+fly2t94vkCOJGpY4B4JT7xmnk0eIqECMO4jm\ncGdDN9lyXVe8XztspMNSxThjQ+/2hqztGCxS0kcBc3rM6x5Bu2ZiF3ja8rgMeC4zrruUGQmdCtF+\nSOinZH6Pugv4wGrI9c0ATb/j7tbwY1NNNnM5aQKslAxDl20qafY67AsFzlmL/8RlNg946HVc+pKy\nVFRbDx06mF3LOPK4G4952QTcd2ccG8unFivm9YqzHcly36fOItwkQ8R9fCcgo2I7/fu34I/LdhFU\nVOFN/M2ikjqOqOOMfhyzm3ik1sGJHQrfpVhEPLrwebjb8XbSkiZLXthd0DMFT5+HfPdZRi9wuRM4\n3PM8jlOPHV8iCbAdHHsBnx34VFFEE8dMm4LzvKSb1hzFmtsRDPyQgRtR5op8CUUg6IaKtScoWpdZ\n6RLUe0TdEXsaAl2guiU5V5yIBa4IcWVEYO/htROmkeG9nS3LY3Bf2sN7UTLrjlHbW0g7oNwJqJXB\nnljq3NKOLa1vyD/4RzLd/g+9Rn/lV36FP/zDP+SNN95ACMHdu3f5rd/6rY8+eVvTyZaFJzkhIK8C\n8m3AmICB8Ak9xVXcMgsNpWjA1pgOqja86ZuK1tiw5XyteTPW3FKSW5GPCjxcJXBdg4rBVQIdSIyQ\nOObmY7Wksg7LzsW4Dlo5+I5DIwWlb7mKoe4Lkq4l6VoqYWkLgbUG1+/wvA6pDNYzrFOXoi8hc2hc\nHzRY38EMNKG1hI1gXIccBBF7SLY9h2Li4IcGW65ohhXtWCN3NuyaGZ6dsre5ydT9bX/B74ntoUMd\neFw+i7mmz31ydihwCahEx9RZM3XXFEpw6AgOEOgupOj2MF1A0SpK7SMsRL4l8ktCv8R3tjjuFmEM\ndq0w2qVcAAuNF5Z4XonwSmxVUdYt141h1Vo8R+JLSbXrUh64FL6HCQy+7JCdQWuDdDuUq3HkBivm\nuChGJuTIDKkal22rqDtF0yl6asU8PmNjH+LUj5DbRwhzheAKyhq2FltYbAfWqpuGyK4iu4D1J+EK\nNGlFqzrwHFxHoF2XQrnU0QDdj8AJsRVgAoKhwTmyeLpG24ZKwlavqNoGpTQZFlTJJlzSyZbIQtQt\noNyCFkxcn1fdkKkXMw0iOi9GCI9QB7g6ptMRW8cwDyyOdck6jwDBOrScS0GxSlELQ+Y4pMpDDUHu\nVTSOppo65K6lqwu6akYw6SGPG7ZuwMla8XwLgQOJI1g6EVYEuJ2H1yocAb4XEcgMvxR4W0G4+bue\nmN8LW9tuEa0l7Dp83bBxnvEweMzc35IOOg7DGSZdo1zNLg470sGImqVeYLRByALpCgRgtYvREZ0J\nafFoMPhIerpH3Qwoyh7TbY95FTBzfHwV0vd9POni5YqDUpBXLXnQ0a0dthuHXulwYCWRlIysQZiG\nSrcsWs1VI1m3PhdNwiMhOZEKV/VwuxBnE+FeRqR5nxcLyctthbeWnF/WOL01x2ZLN5RsPLBhTOTF\n9MUAKsOimWHn8Sfea02vxqYdMuhwXUPTGuxGI5sO5YFINCbxKP0eC5FxVvUouhqfikRp0ugCRcM6\nTnkW9NiVCaJLWaG5Vg2lA+vSZ6oVZ4XCVgp36CF3XdxW0s0tpjZEKYwSixt6VCqgq11kK0kcy752\nQFsWG8Vq7bNYZlwvR2y0j4k0XbTlWg94ypJx5jLJFOXlHpXucxFqFqOSxZ7H+wchYj+iO5nQXkzo\nOol1K1oLC99hnTooJ8TzMsTsH6mh/qO8Rn/6p3/6Y31xXhQs3JbnyuddNaJX+/SvA+5sIz7jOsjQ\nMsXwVBh6RcPxpsZxUqwdgk2wZgsiR+PwnpJ0QhE2PsE2AqtoG4sfuewOPTYG1q1lULnc2/qMS4Fs\nG2QrqCJDGVmKGM5Th4XnYPsCEUuOm47jpqPxOsLGsicMsTJkvmHUgzyzrFOHdRJiXEWmLb4UVIlH\nPVJ4IiCsU+KFJC0zvCqErEa9UlOsPaYrTXPQovcc1NjhftOx0+QMowb4u/6CH5ctL2pEIhAPUzwO\n+ByS/xKPw7hCTBreGhX86aDjPOv4MV+zKzri+ginuEeZ91jmKYVOOEjh0DdkYsEd54KkmdOfL+h0\nTN7eY9NMCHIIcsmgW9CfG5yqpptargvNtxS8JQXDjccg99l+yWX5VYfoyOWWr8hch8CCMJaJG/CK\n4zKWHT43/aWf68bsNXd4e+3z1spDFoqocCFb8vxohowfccxjbtmnuF2JqFvILXZmEQtQ9U3xj4NF\nYNnPPdafhCuwfnlNLV1CT7PvdcDNTVYQCSoVshymLGufvAiII0svtRSzjrdnHU/LkneLlpWzYWIt\nSM0ZNWddztAuOZQ5YbChTTZUymE3isiiARdxyHkKkbDsrSVJ59BuHdatwyk+UeAyCR3u9RzGVuPa\nivW2I9jCrVOXbJKSTnzYtbT3a+qgxR+MSNPBzVtrsSA5WpMeV1w3Hme5w6p2yHF56CrcWYD7TsDm\nVLHuBCJz8e/22U58vOuIFy9C7q7qTxSzF8Mcv9dhg5xYrnnXPOH/tE+oghU7UcGek9Nu16itw4NB\nwoNJn+9sWur1Bcs5lOcOTRexnjuowqfpEhrZYyU9zvEILbxierxu+ryxHeJfD7G1Yla5MBCER4aB\n3+KVHmKheOQGPHIcHi0NTWN42Ro+bw3HpmVSdsS6o7xoeR4IHi09LpuQmeqz9hJaP8EPAuIoYLjM\nGE8HvLad8MV1yLFoeHLS8qbYEN6f0xtJstiFLETGCWPb47CIaZY57y2vGc/2gE+210bDBi+yuIFD\nYkPKhUd17eLkHZ2qWfoNl1nEtXIJwgmxNyZyC14RWxIKElxMYNB7Lk0dcjYbczHbZd1sWdk5Wgve\nL/qc6IR6Ck0I41QwFoZJUNEkYDLDuGcI15ZT3+HUD0gdh5GCobIMXcHdGt5cw2oDde6y3kZs+j2K\nAw9iy1m1xxObE9zecOt4w/SDhBORMhfAoCNOEp6rHuc2pTcP6T8KaZscx5sjlGXp9KjHIbeXffYM\nvHDw8V94/kdzlmnrigrNXMac+AfIJmBwHRAGDkkgMFpTxQ4z6zJsW3YrcGxE0+xBrfHCDY63ZYHP\nPHTYWoeZkLjaJd9K+q1gz5f0A5e2cClKRbaWpBtBt+6ot5p6W5Mnhk1iaPoOeaOY912qQFDFAmMK\nAr3GEy1ubUiVRQQCNxJkuwq967KIHKaBi+48+vOAtBToNqIrQ5T1UEGIcEPackS3StCDFd1kzSbQ\nTB2D7hnC2CEO4B4dnzMVjfPx311/5NoVOI1HHI4YcZvPkPCfMoDgnIvBGaejNW/GBR+6JQ82NfnT\nhqh4Qj9/yGTVY3cxoZBDRseW/k5LqK/oiYeY9oK2mbKtRpRVSlVm2NLFlBlRW9HNc4oFLJ41vL+p\n+E4gecN1uD31OL4WbIRgdkcyloIj15IpTRJZ4liwYyLumITItLTyCmsEd1ufgzKl3CacbRLMwuDN\nO8JRRzW6YhE+4bA+Jcyvbv63ADODLr9xxOnMTUdFhMsQj+My4r1PGLfbewWVVUjjEhmPfnfjrBF6\nLaXoqK1lpT3K0iMGYg3rSjOda57pgAtr6GgoHY/a87nC4f3WcqRKsnBOqbZspCZqHPqe4rYf0leS\nvm2J25oDIwlah2XjcqElaaPwCkMvcDlQlr5oaPUWLbckbU2vaPGtSxD41L2KerKmi1ro+nhVQrow\nJP4W4VUIdVP1unICTpSi6XlMtcdEKMZXimrtseok7o5DehQRe4pRZxhvOg6qT8a1nGzo0gY3WlLI\nBe87U77NjL1wwRd7BXu6o8td/DLmpWiPT4ldtu0JT/IZpbTUeYbWHm6ZoOoBnUipwozaUbRaoYxh\n13r0hct5FZLMM9RGoTcexjQ4+1sCtyUVDsoYrlufoAspmpZnpqFvNZaOjIZI1+JEhV0AACAASURB\nVARNjVk0bN2OaePw1CYsQomM+/hxyiCR7CeC/euY/XnC/U2f3TpFOS1X02v+WkQc7/ocCxfrh3Rh\nhuP32S0z7lQRcnPNdHFOkH9SlylQfYsTSohSpOujFn38aUQlOgq/Zp4a5r2Ya9Uninfx/F2sKpio\nLalaEftD2qSm280oRUZDSrNJwbUYmbNG8m2T8KTpMdpYxteGXt4SdjXKdzHKQFAzCWrSwFA4Wx5T\ncCQVO55g4DaEVFRNw3JhWV5IkkKjC80qklwMIuyeYlUmdLbGvzelf19wUcWcPw3YdJIwTvFin5VK\nyW1Kl4O6bPHKglitsZEgH8YQufRVyF3fcjTcfmyG/9GEsE/HWig8tQdhwqrNeL7NqOOCk/4M0Vtz\nEjikfZ/wqo+SwPIAihcQjsEfQ9pXPBAl417JtVtzomou2o5gFZFtJJ9SBilq6sKlygOCAkZVRdJs\n0cWMbn1FWbUU647ZpuE8b1itoJ/EOGnEznBBOFpglKWWLpulYmkVufAY9/vs78Tc9QXIApFr0A5i\nmeEtenhv9LjoKZ4NHFaNR5cHlEuXcyu56CT5oqWYdfSFZnShuRU1HHWaow7mi48/J+sj1zolzhWv\ntHd4jYj7bPBY09j3AUvc1dwrS/yLGucPNA//HPa7Z+y2X8epJH55jO4dYr9Ys31tw9P1Y5423yYX\nJ1T+lMRNOQ6m3AlfxNns44p9XGloGss7Tc037IKHzZpq4zGoFPeLnM8VLuWbIXMnxD9W7A0g3pPs\nvezjvOwzrlPc6hDpWlRwijZb9PacNg8ZO7d4dRJh6gJ5tSKuTxnoZ4yaEyZXa3jIja/pBqonsPGg\nmkC7glXusE+PH+WQEUP+4fn0//9LjzrqzmO+TTkr9ggDxa3UhSZjWybUxmMTOnTypuJ2ew6zmWW6\nNmw96O8p/EGM7fe4SEPysoSq4sJXbGKfqZnzuXxJUtZkpiK0a/rrmz7aaVrxpzuSPHaRhUdTKq4u\nOsxTzcpNeKR63Eo1x5MVA39LlUF5C/JeyEyEzErD1TxmszHoM4X/DH7gkcOD91zWc5+rqYfNYkKV\nMLkfcueewx3hYA8dzIFDHijm0mEw0BwnNZ+lxPhLTDbHiT6ZOfTRwYw60kzTijNlOQk9Oich9VyO\nHMOnrEcSpqSmx+h6n/HVPuP2L8naBXnWokcpmbvDq8k9bjsv8I204RvUxJXDp2uPY11wYWe8aWf8\nRSf51irksh7QmADpStZhjRm0XMgtJi2onJqxU3P8xPDiuuWwbHCpOHFq0qThIG4YyIoXFiUzabgI\nJ2yClmgkGQwEn09dfjBVRLsKdSDozi1/+tySbywrOiQtF0ZyrSOu9IClPWRidjhqMz7dSgqvouhP\nUdP4E0Ys1ElCHQbM+7sshjvosxhzGlHEOdt9l0VaUY8ENvS4OE9Y+iFe4uH1U26NGw52arxsSkPE\ntQ0Z6I5DdULfrSFqaIXCygLXSLLQY7dT9EuHaO1BYHCrDW45Za/ekLQlg+qaRD9jx6S8YFKcAJ6w\nZSU1L1QpX8xTLhZnXM495rtL/iRO8A5DUly+LCUPeh0PdES9VFydWc5kQ3XQIFTOXWfNUFgcaXFc\ni6/Br8DmMcdLD+E7vBy0vBKssZuP7+n8Dwrh8+fP+cmf/Emurq4QQvCzP/uz/PzP/zzz+Zyf+Imf\n4OnTp//vrKz/sL+lhyaVAb63hw1vsy5G5LMRz5srTPgQhSYLFb1eSBgGeE6AyY/h9B7SWrwO+lLy\ng8k5X+qf82/CnLeCNe9tOpz1iCyXOLKlb1tEEdNtfLLGcGhybrU5tpzD5pzGVtTUPInW6PUCvWrJ\nBhPSwYisPyMcXLNNJLWK2aQRi23Iuo7ZH8Qc7vgcuIKdrsBtDEudsV1m9J4M6T8d8e2XUk6+ELP2\nXLqtIV+1POoEb9eSblHBrOE+JdFlwWHccIThCMHJ2c0FevXVV79nrsDfCGHEp5qArzDhHhUeFQ0u\n2BmJvuaFcka2bHC+BR88BUc+Yyif4dqMwPww5khDWFJMljxaPebP279kKp+yUlfclz6HPOF2+yGI\nL4EesW012xbebWt+z8x5r13w2jTks7OAexi+aA3NX6csP+jTThTOscG+6iDiHr2XFeMmxd0cIv0K\nqQIwC5rinG6jGQ0i/MERZlZg9JS0OWXHPCNrTxFXwEOwZ8AZVObGtX4zgbaBOpfs0+PLHNExAuAr\nX/nK9xWzAHqoqWuYtynn+S73g4BbPZ9V7nNa+yysQx0KhAPbBrYXcDGzfLgxhLuCW0cug9sxNh1z\nGQ7I5xV2XnMZuSx6Ptc4jPKGO3mFLSuCUtCfSvwTybN9wTcPOp4MDCNXkmiYPttiPtyyMmMad4/g\nUPDqa3NeOCy4zhTXnsdM9jijx9NS8HQR3UyKOPPoP7d8/pHLiw89np/5TE8U9m5E9NoY917GnYnl\nlfFNL+OVFGw9mIeQpA1HScUXxYbOX9Gmc96qTj9RzB4dzJl68E5q+XcKTiOPLkpISbllfF41GYfB\nDuN2F/v8EE4OGQUrsvhttndK7CjlOJrwlfQFviheZZae8QfxGXHp8mru02u3fF3M+UZb8FeziDdW\nAywZEOC4knWUk/cNm6ikGrfsuQ27quX10vAjzzQhNU8pOXUqjpIWxi2D5Za7iy0nkce7wzHORBAf\n5OzslnwuU/zz9CYPti4E30ktf7a2fLAx3BKafVourMNUh2zNkNoecGh2OGodXmlLrr2SqXdNR/KJ\nY7aOY7Zxj6v+C5wNX0S0IE4hn8xYHWi2qUs9ciHxueylrIKANFGkA5dsrFA7Pn5vRm00M9MwUc85\nSE7wagmtT4uDTUpcYcnalN3WY1A4hGsP1ViSNieopkyaGVG7pF+6JJXLRE+4a/ZZxS7nfsmla/hi\nNeK/yTu+fu3zx+eWxw9mvBPHpIcx/8RP+LwXc9B67Lch65Xi+Zkh91uKtkG4OXfkks+xYiENc9fi\n6z7ZZkJY+ridInIkLx433O+t+aD7RxJCpRS//uu/zuuvv06e53zhC1/gq1/9Kr/zO7/DV7/6VX7x\nF3+RX/3VX+VrX/saX/va1/69czfhkk5pdnTF61uNkRbTg27Hp7szgPsd3oOc8E7JjlUcSUUv1kRh\ngWkcNvsB1eGEJ7cbqjs1J5uU3esjEjyS45hsLJgg6XAImpJQXyFEwVl8xTSeUtgFW3IqpamVZhZK\nLmKfdSiZqQ6vWaGuchQV0rNASxs3GE/gErC6vebxS+dceinKpJQXPc7Lfa4Xtwh1RBjErDKf2cKj\nxSKaktDruO+GTITiKrFcKUMy2BD71whd8Exn5GbE++2N/dlbb731PXMF4KHDdt7x1irHiCnX/jMK\n/ynaf8Sifc51sWEqGooGjjt4CZj8zWtEz16yZ79Ba2b0yzX+Zk5i36UXNRT+DmV4AKFHHXtsAe/5\nFCXeQq1roq5k5C25NWjItUWtDEtHc7IreXtHEUmBNC21Z9hYTZdb+k3JHtekXo6TPsPIS4x9H21W\nOG5BGDQ4YkjQDLDBJXbnCUXymPeCDa2EfgBZBg8reL+DrIYjC8MOMgc0LjlDNtzlTIzB8n3HLMD6\nXy+RsuM1/4q7XgSlB1PFSvQxdoQbBsSxJU4tew8c9hqJ+0iiHrnEt0Juf6ZH9qAm9wvWoqZ4L8JM\nP82+84BXeiUHyTlD+y5bnjCTG0KRU68aquUUIS23Qk3oSoJegNhRnO1q3FcFh9MtD6bn3Pdg0pQw\n15gqpK0kadByO2iItcfQBMwrn+1JiHk35sl0wL8wA0x1QLVMUKcOB1JjtxXuC4aptSSxYidWZAZk\nY9F5xTf1jKl7xa31gqNmgXGWnyhmT588pIodhm7A5/seFosQPXaNZN0pHtUBm0ozaHLcaIU6CIlV\nxpfUZ5mpgnyrcPOY2Yngz563PI0HdEnKO0nO/97PmWwDNpcd7nJJWDmkbBjJLRNZ0taK1fkA3STc\n7ToyoentO/QmLtus5d+GNTKEzqlIw4bH2ZKst2SlDGFsiJsOtbUgBW1WsRo0/MVGs2kqguUCNZtz\neRZSNCHJ0GX/sykvfXaX3Xsxq3tjnhyOeD864BkBf8yGyq6QtkTYFlvcbNafJGbFQ02Yao6lZUeC\n17WouOVpLHjX69OQ4hUOmZDspw7yxYrpp2ouXxE8Oaro7zh4nsdFt6I2a6pTj/LtQ+I6pScHdIEg\niLe0fsNl42AaQ/qwZv9yw2qv4O3DhlmsSW5ZvAE8awyruuN0vuHNmUB3CptrvEbyxoll9bikWy/p\nb59z3Hj42sUte8jFIYvugCYdc5WNeOYaSunQFQHl0xSrLMWVpB65DJ4a9haG5cWAy+djaHrs9n0G\nQ0tQ1kSLnGi1/ofk7d9b/6AQ7u3tsbd3k8xNkoSXX36Z09NTfv/3f58/+qM/AuCnfuqn+PKXv/x3\nLlAeLtGOZVdXvL41NJ6hyaDeC6jvDOkegH3Jxbkj2JGSI8/hTmC47RS0W4/v7gQ8PJzw5PWad75Q\nET7y2fmrlGEHk2FBj4rtSrJdOzibisys0cw4jU5YBFOmomUqW8roJh/YBoLO8zFSYusO6jXtVU63\nLMkGmp2dgjhrMTLA8VNWd9bUDyqqaMLWelxlPo+me5ycPUAGEjGS7OaSw7mg19a4oiD0OyZuSCIC\n3k1c/rrvkvYWxEGH0EuetT3eakZsxf/X+P29cgXgoUOeW95e5TzngsL/Djb7Nsq7pmq3rLdrZk6D\n6CD7GyF0LGDA44Jd+w2kfge3XKI3K+JA04s16/iAVXIbO3SpJwu2qgQxRW0bVAdOLhh5G469hpUx\ncGFYOobnBw7ppxV7nWCy6ajKjvOmo8pbsqZilwrHf4ZUCm02tHqO1RrX2eL7NYEYYpsB+M9g9yGP\noyc8DDecW7gTwGEK/6aFf2XhtQL+qxoOS+i5IHB4ypA1d/lQjkHD66+//n2z3fzrBXHS8Om7CXu3\nfD6oXD6sXEg1ZpCgeh7DWLMTWw4fwEEi8QNJUEuy2yF3P9sj/nTOBUvO6y3X07uY7i77MuYLmcfO\n3hkm3idP3mSePEImj2n1mlZv4Lrl+AR21opOZWxVTOIalCM5enfLP/nOitsrg9tI2rmLriRd5ZJm\nLSPZMNEeBzZgViRcncRcv9vjSXvIm+aI/TrjVhszbB0GucZd1hSi4zrRvGIjXglcUg0Vhve7ij/L\n5/yJOeOH9ZofMRt2+80nitnTJw9x+x6jQZ992wcUkh4Yl03r8KgRzEpN1uSE0Yoo9UhlxpfE6+Rq\nw8V2zXSjmJ1K3nnW8Wx/QBsOeGew4XR0zeHC4cFFw2DhEJgbIbwrC152K2ZVwHfPE+q14gVjua8s\n3lij+pqHWck3w4I26Njz1xwnNf3enLB/hkx8wi4gvupQpy22FrQ7Hata8xeN5dsby+Q8Y/d0gVhm\nbNsBySjm4LMZD/7ZLtVkTLmjMWHK+2rE87blT1hyypo9U7BnOsT2Rgg/SczKhwavb5hEljiyRG1D\nFBX4kcuJN2BlXcISYsz/Q9ubPNuanlV+v7f5+mb3pz/33sybeW82kpCEQAJUKrAdUaoKm6CsMOGB\nGTHyjNAEhvgPYICZgh0icJTD4YEHdhg7cKkKShSgJlPKVHa3zXNPu/vm67vXgwvYCAlEJqyIb7K7\nwdornmfv93uetZhEGZN7GX/2iY5Hn+l4MmqQWuN0Nteiouo2lGlI/v0hujpk4h/R9mq80TOqaMZN\nIViUHZ+8LjkoErL7KQ/Dmu9NOnTfoDRQd9AYLp4kmCbHXWpILOy1xXcvCv7tkzU/1Xb8VNsSVB1O\n11EXQ8T1J1htS2Z3DPUgZKkNmZLUa4v8DNpck0005cjm4Kbl9rrj/esB7z0YkzUR8csKZ1DjFdXz\nRrj+J7BYe/r0KW+88Qaf//znubm5YX9/H3juRn9zc/O3Xv8/RH9Mg0ci3mXk/hfc2vuXGC1gZCN6\nEXkouA4VS98iE4JZIWgbn4XUdFIzLyLqlUd1Ich7AeFFy3AuiKstbW/HvDdnOlbc1BLXSwmaBFEu\nqPwZhbsm0Zq0Z4HTYDkNWkOrNKXRLIuWddHiVTZeYlH4EddygNRD2nqASfuMzltGuiWLBfOgZnad\nsDufUzy7IO8s8s6iTKDZwUhWBFGBH7ak0mMlPTZaI5TGpsauh7z3wTf48w//IyvmWFPzkXkF4Dv/\nHTQ1XbLBMieMTMukzXAN1DKg77lEcQ8hSiZZSzht6MKcJs6Ryka1ironmVWS5ZUi7WvivuBUDejr\nQ6LShdZnYe0QqiNwMnYWbLWgTjNOs5xunbMtSkphMQz6jPZ8jKu4EYLNFq6vNLljge6x7iz6QtLT\nkuAywXscU2c5NxPBqtfgzqZ42/epd2uqXc62J7GNx1EQMpIV4bDmQDq8pB1uzRpGaUlYNHgN/Akt\n/yvvcI3F1Q9E2nwUbv/oW/8PlmMTPxjw8z/700RHn6TeORgRo/wC3Xn0NMSBoNgXPPNhkwjqBOrI\nJd8N4WlDwXO3ov66z91uxC3hMZIa10nJBkOywZBrZ8HKDinzjKKuEW2DMprSEizjjmnUcGUgQyH2\nDMEdgzrXrKYWu11I4Zzi2KfYOwt7ozGlQ906mM4h7HmMXw14K414mPqw89FJSN1axKIjsHOUXxLG\nFUo0VElDvhJkeUfb1USWR/7+OW+/92esRI6dpB+L1//+/BFqYeGlEV/gBQ7v3+LFwiGxHQrbIbUM\ntV2QFC3hpiJcZQSFoV96mAXUa1hlmsW5zTyHNBeYTJIqQTqU1JaN6vcYBQ2LsqIqC9xBxt4kw3d9\nch3QtDYvJ3C3e+4mZTJ4pjTVQNC2NaGIGHolOjZkA4+hcJ9fOsep19iypD/WRCOHJOnYpS1h3fBS\nu0V5C25GLt3tCP1SRnEH1pHPOnRYKpcci11a82whmP3fz5DffUAkt6jLv3nv9aNw+2/0/4SqPbyn\n+3wp/Nf8gvoUgdpyqn0+4/QYuLBwO1K/YmNvaZst6x7ksaAJDDs6yrSjWDuIZz0mV2NenY3ox0PM\nuEewl/PZyONAW6zKjFWWsZ9fEucfcpCd81q+QDQZeVBTRaAFaAxt1nC9bHCall4GylXsJpLzuw5H\ndctx1UJYs046imXLqs6x7B2BnuELzXaiWL3mU85CAhtcR7MnPcaVYVAVRGWJX5bY5Yqqq5Cdz5tX\nf8z/8tb/htIzqvQfuREmScJXvvIVfvu3f5soiv7Gc0IIhPjbi4v/5X8zom73SfJfICm+gNVJLCMI\nBxaxG7KVFt8UNjcmYLrpyM8NxdRimzno3GY/14xXCrXtET0+oZct6G2mEKVc7F9xNT7jIgq4jH0a\nfwflBn+xYqTW9KwM3YtwPYdYNvREgTGKrPNZtDZTz3BdG+6sOiZFQ2EOudGvspbH1KkNa4vX5in7\nb2XoMXSHDXI1Z/DmB+jvrpnqiFKFbAxUbccqEoxcRdhz2JmYndHPB2tqgS4cVDbkpcmXWRwd8OfW\ndzl5uOWtB9/+SLwC4P4mQZ3zcnHNK+KCz9Tf4LN5jOt41JZLNrBYn0gaFw7XOeJRjhrNEC9MEc4A\nUR2Ti30eNVsenO0Iipy4y9mr+8+PKAkprYDrIMEr10zkhoVueWw1pGXJrcuU4VXC1bZjIxR3bYfX\ngxHPTjXvHkiuN5LsLUWWBTx1jqm6Y+5Jm3vC4vbZmlt/eE2ynfGtL8357ic2jM+XjB9sSWeK7VIz\nPujxejXg9skOV2yxxw0/ZwUcWwNGu4y7+Yp406BK+BIup3yZp/y3fI+IN/itj6xZgP/6PqjYx79/\nF/vumGerDXkd0FU5dl5ilw0xFp5jcWkJLnoGdgJRQrFyMQ/GuO/bJMohFzHD+ZDT1iXEoNqMQuQU\nniEPbRZVQLHrkdxsSW8k1k4T5S6l5fDQkzztNSRbzW73fBm6uuWxKTVPHzusno0ZHH+Ofv9zmMsK\nc1nR3jQ0mwZnDw7vKNQ9m/mVzduXHbszzeVZwM6R+MOcwVHGCycpByc5Zltyuc15diO5uDI0teL+\nYMLLvV/m9Es/x4lzSVF8wB/8H1//yLx+vmuxbJ/w9jHB+Jh6bnGEZj3xmB6HpFFHYjrStKBeNDSP\nSoqFQS6frz+d7/s8Ng7VhUNpJE1ZYZItmATijJ1neLgf8GxhyFcLsmqH2c/xX0vp6RA7aRDLjtsr\nw+EGqoVDPXMYGkF/YtBWw4t5y8vKJogPkQPoOTbHts3EO8Oxvo8rM/Zf8Dg69lheGpZpx6e14Mte\nQudNeeO04/JeSH2n4nLY8Ez7PJMRT1AkNFR5w/JC47uvcfjPNUPvAcG1hj88/1ia/ddfeAXHGzE6\n/CmG40/SvjujZcGRiuk7cBy6/Id+xXlYcJ1vKLMtl1pTCguNoKOjy1vMhwHquyF3zib8s92E3YnN\nk9cl9nHHfyY0Ya55L8l4L7/mrnmC777LHTXjy+WOT+c506hhYYFxnhvwPxrBuxOgBXtr8CyBCAN4\nYch0K/j+TiCGNdm6JL9xyWMXM6y4F0y5J3aUx5L5z0aUS8MoszmsBC9Ki9v4RLpGthWOyejrBdoE\nWGrC6PDTbG4J3tFvsr+9hO/9+x9eQ38Af28jrOuar3zlK/zKr/wKv/RLvwQ8/3VyfX3NwcEBV1dX\nf8MK6K/gvLLD1D71JmG7zbDyECur8aVDr7LxtprBVOHjIJ52FA87ppuOs7bDVh1+LTjMNPWlopk7\n5GrLUtXkccJjZ8O5v6ENwYks6l7NblDT1hC1Pka6mDDC9CNELZBVhRISrRw64dBvBb0GYgk9pWn9\nQ3JzSp4fEeYQ5y17Wc2e2SHKGlEbRFoRZx2xLOiZPkdtj50l2XlQ+w6ViMjrkK3WLK3n5/GDDvqN\noJcoolYR9Q1xWNH7ywm8j8LrX0GgUPjYpk/cxIzLAL+oqQuXdeORy4DcdZhGJdWowhz7mLua0D1g\nWByQV3s86TTfwnDLqbgVV5iwAC9HSpcmsSGPKJOKrCnY1rAswd5lHM5r2sWOuqippMDKh4h1RzGS\nrLBY2Q5t5JAw4Cy9zdnTeySWorE14tkF/sOU7W7O+y8VfPNoxWhXMioKxHoIlxNCI+i96HAwCNit\nOzYLyagJGasA326JbAm2Yms7bK2YXRfTtjFSuGA+umYBBtEC4TcoNcPUQ4p2zAYX1XSclDV20qAX\nmlRDqw22BTggxgIKi3we0G7AOCWu1RHUDqEPxqlYiYymLegqQZsHiKKPV+yxvG6YPjJYXUnji+eF\nXxoemw5RGUQiaKRFO9Tk+x7zvZhZeozrvcA+r5C0FbuqApPRc3Y44wL/VkM3FkSPNQNXYRmNX9sI\nV5LdrhAnkiSUVJ2gMg07Cnadoqsl/dTifhvx2dTGihKscEFem4+l2V3ZIsqabZ5hp1vuVJKTysNy\nFPm+g5EgZUWnIaltplvNZNvR7oASSiSZFpR2Tn60pOrvMH0L2SuQQYZdN3hDRbjvM1QpWtjcGWr2\nRxLLKOzaopEWdtdSNR1eYxg2LQfSsO9L3Nbnrra4w5AtmlWuiaUhdjqaYEa4V9F3dngHNnLsYRUa\nN9UMSsVJVdGNt1y+0pC+7iOPXTLPwwgHl4gRhoaCRSPYJJLdQhFZmkwrVGY+Vp0FaE9WNLai6m8p\nnATXTxFRyiBQHDoZlWwRXcG8yWnqjLopkU3LsDN4tUK3AmenubVQvDDVfNL0eHUy4OYYtrdrxKHg\noJAMt4JymFNvluyrFaHa0sYJvSajWlU08nm6TBA+v1QtSIygdCSDocKNFXulpCwFch1wtQmw4gqL\nFNNISkfQxiXGaXFESRdt2B5v0ZHLKGm4s7HZm2miuYVelTS5g2pqhiZFtjVNYrNYOizsBQt7ipPO\nfmT9/EH8nY3QGMOv/uqv8tprr/Frv/Zrf/34L/7iL/K1r32NX//1X+drX/vaX39x/38c9A2LquYd\ns+Sb5oy6FNSlz70Wmtamnym8hc2pr7C+abC+Z/C8FHmYogcNR7XLuLa5rHPmTcG1e43ozUgmKTcB\n1MLj83Ofz1/6LG8kl0bTOQOi1kJjsZaKdafJ8oDrnUPsNkzGmkGoeKWGwwZ0z8U6HWMVI4JMEq8y\nftJ0/ERQE8XXRPE578iOx1gIJya879DfjzhKKo6SkieOzTu+xarysZYj5HKCPQkZjAWR/Tzx/XZZ\ncbzZcLS7QQXXnERXOE7C/wwfidfn5EKRKZ5VIdUW7rUxa+PSbCuqOuWiMbxpPB6NHBw7wHnFornr\n0twJuW8P+bl8D1F7fEjNd6wly5cvWN+7oPYyEt0yyff59CLi5bkLG8U0iSlXPt7UI14YxrsziiKF\ntmRtDE8ud7RvpKyvHLqHLr4fUZuQQo3IHw2ZXcecRzVh1GCfz1DuW2Tyba43N8yfzlk6HY8/2XHP\nTnk9N5xGNXZYskTz3sMBj7415N5YcH8CvupQx4aNdHhoJjwpb7Eq+qw6yWMLKPnImgWYHEi01eKL\nNXp3yYdNwI3lcSptPlcJmDV8Z1tz/gjuu4ovepJlJZlXgtoyiNBgKUMQtthew6wueVLlFIOcyt2h\nyxz/yma4HPCy6nhJOfz5dMTu7BZ1sEAOZohwg6gKxKxBbRQ6abFshXLBHHkUPz8he/2I5jyA85al\nF3B2Z8zJKzte+4LEe6HjgVXxqKsxmeBe4RMLm1FsKD3B9LZPOra4KT2ydyv6g5reqMEOLG5PHPam\nHq9cWLxwbVg2NQudoxYZfAzNamIaI9nUK+q85CS/zaDwkKuOdGGIW82eCSHz+Xod8I0oZOJWfG6/\nwrMKRn7OwE65ZslGthQ9helrVE/gWILT2uazkcf9Q00YBkQj2I/G7O/GbKoh6bbPuvCY6xKikp/o\nlbzc3zHvGs7aBs84vOyPOcHjjVXJe9cV14MV7w3WzNwZffua4/4NaWiY+dCNY1rpM7Mlz4TAPqpp\nX13hvZ7hDo9wRcwxEX1ClsA5Ng9Uyxvumg/dmmCXM9yl9LLn7icfR7NdALLsgAAAIABJREFUaGh0\nR2bVCFkS9gXubRc70gi7pcgLZkXODSUHRnLaBZgUTGWoM02ZBIRLxSfqgtf9mnsvtQwOwb4lcUcW\nc21xISVv2x31aYmeJHjCIhITzqThm13Dg6uK8gaEBT8xhpdGMJpJXrxUbKVNfeBSOBaji4yXliXP\n6ls8MxGeV3I8KvAnDUlUUlslJ9ImIkTVmjqrsZuUsVtylLm4H/bJvxkihUBKG5G5jAqFyVpmpmC3\nSnkhnvKT8RXJZsEf/vAK+kP0+XfgG9/4Bn/wB3/Apz71KT7zmc8Az1OSf+M3foNf/uVf5vd+7/f+\neqz3BzF2IJc1K2/NO+UFWxGwK4dsU80gk7y4ksgrzT4a9Y5APwF1UiBfrLDHBUd1x7CuuUk3JNma\nRTxjM16xHWXsQkEkfE43Ef9q2mealTzWLklgIeseRedRiI6k7ihTm2ql2Ovn9O2OUWyIahCVYO1H\nrP0Qde3hPlKMtzlfCBu+HBbsJkt2+zdc5QJ3HeA4DvELHQe25PNTw89MG75rWdi+5snSo54OaOZj\nVKSQGkIFkYGjqmGYpYzaNX634law5C+WzxfEv/71r/+DeQUghlIqbuyALRaXxmfbabqyIa9SztuW\n74qY7xQaOYqRL/eoTz2aw4itFXK3HBA1Heey5h17TfHSDeWrz5i7OWei5aXpjhdXB4TbIXlisclc\n6k2PYDkg3s4JC4Noc5QpaTrDbFGQlSX6xmB/aBMfBGSnMbteTHPhkq4lm0HNYpgwLS6IvXco3TfJ\n8wVmumF3T5Hek7xcGY6vHY4ChWPX7CrF4w8Dvvktl+DVlJeDFOU3CNdQaJerdMIH6S1Wux5LA5c+\nUPKRNQvPDd0tWiKTYO1mGH3Kja05lZq7taDJDH+atDwrBZ8N4SdDwVVs+DAybFxD2WuRYcMwavGD\nhquy5mlZkgQ5tbPDb0omS4c+I05Dmy+GIbtdyZNZwdo8w1I10srQaY2d1cjMoPIOaQxY0PVtmtMB\ndTaCP7GxHpVUUcwqGnDnU5q7P5vj3sr4/nbHk1WFUwruNC77keLwoGUdSLqj5/dvl09dbs5bju0U\neZwRDGwO9n1OfYf9G0G8KVkGOUmTcfHgwcfSrCVCOtPQ1ClZvkIlPQbJEcLtWPQMutLcb210afHv\ni4D3rIDrsKRyc2znuQn4wM2YxkuyaEMdKUyksEoPJ/OZmJjXI5ufMz6HfcVBEZA1I/KiR5HHkMfk\nrcNMSQqv5VU3YehuOJRwuxEEbcQLzh7jbsD31html1tu9peYaoM9XtIfrZDemrcdlw9dDy8OcZXD\nspE8qwzRpKTeS3DHJa57REDEfQJeJyDp4LyzGHcVc2VxbUNcNYyWBf3d8yGkj6PZSnc0qqWRBYVM\n6fcaGq0otaDTNesSVnnFtmo41jZjZREVNWFTsioVz3Y+Uar4rCr5F4MSe7/GsjviWHEQaj4QFu9I\nzVu2ZG/QMAlSNAKLiPUq5a0bzRs34GxhUMBnDuDWAdzeCV5eSGZ9i8vbLquhhZ6W6DrlTzrDUxWi\nbYtjb8ee15HpjoqaXqtxyhByiypt8NoMzxeEsqG76bH5no8YKeTIpakkftNiZQnLrGC62HJ/suA/\naec8mP8jTY1+8YtfpOt+uF/bH/3RH/2dH1w81DSdxKtLxtUGshVVOWfedPx5U3DWeUS2TeDZ5ENJ\nfqoIj23uHMQMJh79ysVrJAcqwaiKhVOxclu2kSJ1I3wrYNg/Bn2MX+44KFdUWY5OS3ZpzXneJ1/1\ncFYQbwR9lSHSiiTsSGtN2lhUpkddxZSdgUFFG5Qs3Ionbsmi8lieHbKRHoeqR+Tvo91buPYh9hC0\nA+HOZm/rUucezZ6N6UvckcHrt8gaRCEwtuTpIOBCDcjCHqmMiG8/Pw558803/8G8AvAYdAXeFvrC\noNyc1F2Se9csvB1PtM8zY3OzdQlHFmE/JlaaMPWIPYuV07LyCnZNjqRAlA1ia+i6hMo9Z+NnPDtd\n8kAPaZ70qDc9xuw4kFOMd8bZYENmtUwKmy/WLkkYk4xiBn2HSc+QeSWP65RFZtjzUl71z/icP+cn\n/Tlj8TZe8ZhWrQkPSn7qFOp9Q9XvON6vuHU7o5/ZhOeStrY47Gru3q2pX93x1qe2nNQpJ7OGKHO4\nd3uCE53wvVXMbCmItYEVH1mzALukoROacwWJkrxrp9yEU75vBvyfjcIqfeaVQheSdx2oTEdoQxAL\nHFlielvqbstcl1RSct46zJKQThTYQYH0OmiGdNLG9G6g13J3kfAv1kueiDln6ZbksmI/s5GFy1K0\nLEVLlnRs0hpvluPrhP1qzUE95fhEE8YN92PDcb9i3DQkhQCtoK+RaHSgsTclzjbD9QTOgcJWCpVo\nnKXGSwz2YwsRalpfcmkKvj7c8s07K7z9c/yDKS/Qg//9o2s2dDR9S/Ni6xJmkpc2IcEK5sKwsg0q\nUxQ6YNQE3L2K+dLjHrejmqZX0vXmqH5LEKf0B5LhnmHdWcjag9xCpIJZbfMfvDFTvccXthWf7yoe\neB4PVM2qaMhdiVI2ryclw7UkvtS807fZ7uAgEwwTTbgWBKXgE5mHIwUfhpqz/QKloDfv4TYw6A2J\n+z3ihU98aUOreRYrwq1H94ce6ps2+mcjnJ+2KLC4QaFySbyRHFxGjBd7DLKCiXfB0amHf/Xcsufj\naPbZBzXGz+iObyDwmLqCxxK6JiavOi6lgxVJ7lkuTePwvdbmU07KXSsn8isqk1NaggfhBnmy4d48\n5uV5gp35CGOjLYtQ9+k7EzzlodqOlb3hA/uGq3SJ6Ar6KegZ+AuwFyDPYF52PM4aZrFhl1qIccwL\nRnF7X/FesUdX+KjCYfg2HF1UpLc02b5N0fW5Mn1WmUedSZZ0vJG3LFLJ3rhk8pmKUAkiaZOXAdu4\n4srUPCNhaS95f68gOlK0jYKzv5c+4J/QWaZ4qGmlwLMqJnpLla/YlQsWtWEmKwbUvBIHvOhKZiPN\ntJS8emRz+yDmZGRoK5u6hYPBlGhQsWxrFlXDVilyL8KxHAa925j4Ln6zYL92EMkUazVjuajxshH5\nao9wLRlvJLG1Q2QFSd5y3XpMWw+76mHRp1Q59Oe0Vs5SVzyRJdc3HlfXHlbUY39vzKF/SOLcAusA\n20nRw5TwqWbv3IbCo51YyFjSc1p6dke+g7QUrC3Fh/2AlTcgCXskMuKeVf39BP5dePx8HSIwMAC0\nk5HFC7LBlGeDFY8bn/Mbn+kmBBHj9w2x1pykPrFSLOOGxM1JshxZFYiqQWwMrdxRWSkbf8n56ZRR\nOIT1IeLhAUME+0qw8C44kxsKp+OVtcdp1uNh1OPRKOKo7/BKDCu7Yl4bVJ6yN84JRhmfl+f8grzA\n6s5ZuecYb8NnDwz9W8BBh+lDvleR3s6wzyA4l5il5qgryO+WrF9Z89YnVxTzmn5iOPIc7t8eMzk9\nYTbt8eZUEBt+aKrHPwS7XUsmOy4sOHME76mM63BK0hyzzjRx50Ml0IXhPb/lO13DZ23B52JD6JcY\nsaYyGxZ1y7SUnO8c5nWAK1ZYYYGKFJghnRpihi0Md9xdN9zeLfjOesE62XK1qNjPY4ZVyPthyizM\nyPKWTdIhiwKvTgi6DYe2xfGx4X4Pgp7E7imstiEpJMZXEGhkoFF7GmuT4W42lE6LvadwOgsz8+Hc\nx00U1tJC9DXNvmCpC749vCF1z/nJyQWfncxIxY8/gffDEDqaWGvuty4vZT56E6EXgro1rFSHKjRl\nGOB0Q168HPKlBwNujVuavYZaKFSQEFhLekPJ4LjDW1iIZQC5QCQdc2wuwhHvhCfYbc7dIuctr+br\nfk1TNYxdxcuNxWvnik+uBe9dKd51baIWDgvJfmIRLiV+KvmE5XHfcfjTSJHt57CD0VUPJ3XonwyI\nqh6jecDoiY0ZOjw7sAkvJPGfdvQbGyuMcX/aokQzRTHINIMbzcEljBcdw6xhEg85jD2s/MfPzPtR\nePZBTTvIKOIp5UnHE8cmtG2ytGGba4Ql6cUO93sOb6cO309d7jgle1ZH51XsrILLuOPh8YZnzRLx\nvT635wl2rqBUWIFNOOzTC0v8xkfXhqXesPXOubJThOnoZSCn4J+BpUAoWJiOd03H1DeIK5vRQcTw\npYhPvBTx7/IRXeahriWDhwFHVkOSt2xbyYdZj6u0x1p5NFqyUy0bUfGwhjuTijufqdnbWuxvbXaZ\nz03UcGVSLkXBzl3wwaSEY8Xp9odHh/0w/JM1wqop6RC4dcqQHboqGWrDzq5J3IQwqHghynnVTTnu\nBWzbgL2hIPAVlhD0So2ddEy3Fu0zF4SgFCWtn+IPDW7ccCZS/i+Ro0gRJsFRawJ3RhFVzMsxbVdR\nO5LC8WgGgiZyMaHBtjxOtMe2sthWLaWo6XRLLQU3BNitR7qE/CG0qo/uTZCTCfXRGHMwZBoJPohq\nsswQ7hrKpmKxX7EZ1+B0GNuQTDu2V4a2aOhpSaRs5rlGPpZ42cfj9qcbkBJsB3wbAmnRZB7bSHNt\nd9x4KWlxTVtBIQu22Y5lZ2E3mjCBg8wQBTtuqRmftDOOqDhSUBrD06pFNyVRs2OSdfhJg7dLaDvD\nd33DhdjwQZlQKkPS2Vxrn3mgmbuGUbCD/pLYarldG6RV0w13mOMd99WSWC25udzw7jwn23TcXsBp\nH4YxDAEryNHjJdsk5+HaYekJZr2U2SBldpoxGzSklSGJ4XZiOE5bvG1LdN1xfAmq/fFjV34UDkVN\nIhS5LNiInMPdjpeaFU6zZlSuMauY5ZVFmUqOZcVJr+Jlq+N2ZPB6Gxq1YCoyrhqXi8JDrzvu1gVH\nmeb2ZoJlLDYixrg2087iHWUxChSjseTA8flUM8FpSp61mrNG0goLJSxSW3FhW7B1CVeCXtGhG5d1\nPWRu92jdCLdtCGTFWhs8rTnVDnUrqeiQXoGvdzi6pFKCsLFZeg3LMeRZwHXmUSqLrFQIA3FYchps\nGbcZ4qKE/OP5457ttcSewT0w2HsNQ0cw9Dv6Q8ndI5c2KpDkrPKcom8Q+w52X+D3BJ3dkVUt86Vm\n/cjm8dJhWTq0lY0RUHgGo11KS4LoeCMSWFIxt0psu8TvStyopbLhrLAwyqc+UuyPXPpSMjaKQerj\nDhySDL7vCL7vSLo7NgfHAd0ixKxiZGtxlHjoa5dgFxF0I5ypiz21sRY1Vpqigga7yvA3G2LjMTQR\n7YctF281LB5lHF6t+fx6zVGvIu5byPmPziP8cTGKM+qwYedphN0xaAPGXcBW2XTKoakU+sZCrzVH\nvkIGgsgx3MiW7a7l4XVOlkleiT1edoegWt7cu0ZWBaYdUmubQLTcLzpWScd6Z1h4ioXnMEsUc1yS\nSCCGJU5R4lgVc6vG1YaxAltoLk3Aqhqzq48oqgPum4D/ygrYazWfWgkOqpYyLMloGAQxB0HAka94\n0a+p7Q5flei2JQ9KqqjGzQyDvMOKMio7oVwuqbpLQnnGi/6CTzQV++4/Uh7hj7JY+83f/E1+93d/\nl8lkAjw/z/7yl7/8N95bkdN2HU6dMqgSxm2N0oJt0DLrJ/ghvO5Y/IRt0/RHNFrR9W1aV4FRDFPJ\naGZo1jartUdjS3Z+QTXeMa5avM7modzwH+UaS63w9IrYzBnYN6io5Eoc0nk5VWhIA5cq1CwHHaov\neCX0uBu6PEhKrtKSsi3Q1NRGctME5I2LvTTYDzvI++z0CHE4ov30EMI+l/2KcpAQ1xVxVdOIkuvj\nktl+SelC7gk2TxtWpqaXwkuWZNhozi8V+krQyeed8Aftqn4cXgH+GdAqKDyoQwhTm24Xsu273CjJ\nLMgo2huoE3K1wuxukEWPpugzUB0sMobRjpdGK+xxykjUjGzDWoBTgdM2DIuc01XFeJMy3Ez5tjF8\nKzA8sRouy5pGOVwZm7HlI3wFdsOhn1D1lsRWwot5zr6V4Y42OMcbHKvGtmqmWcMbTc10BdMQth7c\nG0PfgO3mqFHNbOfx9iziYaupb22pbu2YHrRMQ8NFAo96cHfR8TPTmpfPS4IPG+48heovT5d+mF3V\nj8vtqSjZSUElC3KZkW13mKmFbpaE7ZLVOub8zGOdWvxMVPCfHxcMdEUcl1iDDegFlmr4lrG4LG3u\nPGt5oUr55M7iJ5ZHlI3Nd3TEWQPXA82baF5xNeFAMwkiPis9QlmxEzlvk9PsNDqxySqb88rD1QGT\nVHK4FYgq4sYccqPGXFsDwjrlUCbYtsHXmheF4qqTXFcN0i7xo4TAZESVYVJafOBAOtEkic/UdVg3\nFqtSMBGSn+tXfNrJ0M8K1LMa4bQfi9tHBw2hb2iPc8pDw71eRTwuGY4sXjuKKOwAs7WYr2x245qy\n0MjAIYpshLIpaw97GjGfObwrHEq3ofUaurGh2xfgenSNIW0rvhM1PI7gDi13KAlVhdINVQTvdxYf\n+j6vDj1eGXYMbU1kadxSo7eaywL+nQ3/xoJfuOPw8ycRxupxtdzCVnGSehxdOYg0RqgJ7qWL98ym\nKxMKN0MOcxwU/towbEMOupKLJ4In3y5ZvbvhcD7jhd3s+bRrbGGU+tiaPRpnlFGFFRq0XXHUDLjd\nCpbKRirNNrWQswjRaW6/KHlxT6Acw5lsOV90fP89gb+w+U8PQ35hL+Y9Ev7i8IK8Kmgr2KsDXm8l\nt7OKtxYtH84MH1gW71gBK6WpxIC2ryBfI9WGcy/hT72Gn3cMX3ZhP9dMZxGzZo9V/QKb/GVelZqX\nlMJvLOKthbNu6eyUpi2485JFcmAzG7bc9Bosr2TPKmjahj+LSr4d1kSmY9I1hHECeo2YTlHVGXXz\nhE+qgp8pSnznxz95+0gWa0IIvvrVr/LVr371R763rFNa02B3W3rCJiahR8XWOMStQLbPjbm17Kij\nhCpUFH5E4YQktaSWgrkQTCvJbqspY4u2Z4HlYFpBkzpsG81V0+B4EPoKrIBIjvHsjpE7wLQ+XlsT\nCMXWhY2WSKMYCps7wmIhOyxRUEuJlj7UgiSLKJcBQV0SuCUmdWmWFo5WjFKI245tI7ioLcbKcBQo\ncmEx1ZJ5B10nkY1gWUkuc0FStfTsFuWUlHaB1CWd+7yo/KBd1Y/DK8BngdZA3kHdwGHdMaoaPmxa\nFnTsvIahkxLrkmRYk4xSsvoYVXtcpYIHu5L1PGdRp9AkDMYlL9YwtW0OlA1CsFCGh7oj7UrKOiUN\nDDoyUAvyVJC7mlAVBNaOwFYEbY2b7VDrFa1OyKqCtZPTpQkmS9kHDoD0Bs6u4NECEgUrB6o7YBlQ\nXUNXN1wJwyYWFCgakdFsSxz3+QDWeg2PNrDbGuJti0xq5tuOZgPmLxvhR9UswMbtSEVHIaCrBf21\n4O5coMoat0lw0i0XG0PbObiiQDk5UrdI0+EIgWtrJhYcIDlRhpOw5SiuGEmXoHQwW43SLVVT8bRf\n8TTpKPMIVRyx1w3pOR2nKmVf3DBuK0ymkHPBCS53dJ/DtodfxYhsiNNOcJt9UhUT4hPsV7gVOF0D\ndChhMLRoGqSAS2kj845ybtgsLdYbi7KSbAwspCGpWvIEenYK7gzhnlPIhFpnWHbzsbit9ysyt+Mi\nrindBttAbBvC/QH905bWb0iTlC4RDPcCbt2xGasentVjaSRPmoB3ixHPVlvWuwzIQeWYUGImFog+\n5sbHrCy2WpMrOHIVkeswsHpobYErqX2NCiShJZgYgaMUna2plUB2hsaCmTY81PCSdJlWfVQ7Zqdr\nKpkQ5BZB5eGtBvjrMcW1R35p0yqJPpzjujW9ast4ltGrQ4K6T/AhRI9yqkcLrN0Zoj5jY12y660J\nrfxja7YdtRhfIN0OLQ2eZYi0QUpD63VsXSiNpqtsnGGHc1SR9gWJ8skbQ1XY2KmNKCxELVkEBe/5\nLU3b4VQCmWrma4HeOsi0x3B9ALbNwu6zcG2M2wcLRHyD4gapbpAyw3gS11eAS6R8tnnEbjPgyeWY\ngZYMLIWdO9S2h/AFPjlRURC2hoE0dG7LptdiBRWxyqhLTbNwmaeaLDAQt5heSR3sKPwluX1N2Z2z\nkIorJQm8f6R/hD/KYg2er1b8XSjyHbUsUbYidBWTdMt+uSNNfZwmoiwtWlNz7TRcRTlXYYmRLQ4O\npnMpAqgG4FfglYL8wMG600PENpWxaSoPsRkQbS3cnk84GjIJfO5Yp+wJi2NzyLbdQ+kUHSbMpUC2\nDiaxOekEt0o4L0p6RYZQPsqOoHJoZiHlhUenNzSvbMjOBeunNUORcaoSXlQWf5HXvDlXxJXPkZGY\n1uNq6bHdWdhaEmvJ9qnk6kPBlJycjEm8gcEWYW/xg/+Pu38orwCvYaADmQtUDX5d4JsN75mUdddS\nWYZX+h2TYcN7xwnvH5V0ekKlXM6e2qzelDjPGmQyxZtvuTtseeEOLFyfl90eZ67F217D07bixNtx\nTM1+Hz5xAk5jWK1hsSwZqyW3VUbcTIkzh4Oyxl0W7GTN+7S8EzRc2w1TAf8qg3+ZQfsBrN+Dpyks\ngDMPst1zVyaTQTmHNmvQUcqpkuxmNekDOLgFwRbencLFQ3h4aehtO7KuJTeGHPirQJsfZlf143L7\nvRDKVrAsNevcxV353LoO0TuFzgucNmGnFVEPyrjkzUHFibY4yV32Mo1nKYZWxSfRKFni9BTOiUOe\nGR7VhiSr2Ziaokw5j1LOw4p0OqS8HvEaNff8gsiacVJXvFasmZ0VzD/seM13+NxgiJ/uMdsOWScH\n3G2PebHd58jYpIWF3pN4SUddNUydEmN1+KLiVFY87iy+XQ6YLg27J5LiSiEqF1E5rJAsKGEL3k2L\no+cs7Sc8Uu/TeYLuliQw9cfitr9f0KmOlVUxLxtcNJ6jOOk17O9DMDY4MiMUBb2i4lY5o1ce4laH\nXJiYfytd/jjRXDz14CICV4Jr4NDDHIeQ9OBhH/VhRCAksVT0DgT+oaRvfMIqwssUuhC4BdzqICoF\nWSnYhKANjDOQJXjS0JOGuXL5i2ZEsGuRpY3bJVhlS9Ao9i7G3D6b8GjjcVnaFGFDz7KJVMMkTTi+\nqXHzEJXHjM4lr1/lXC6veVg94rH1PjeDGTd3Z7xsdh9bs7ORpHU0hePSmJDG8mi1ReDYnDouReGS\njjyywqG5n1HfS7FiRWAN6FsWo8hB1YpFWPN9v+Jh7PCsF+CLiP0uJl9FvJfDRSsYVCfcy7c8FBW+\nXbExmqb2gALlnOPGIadpzYvbKUeNoMJBFB7j2sPkLum1xVtLSd+y6WkLtw2wRjH9ic2x27AXNAhV\nYdUVS6H4vqvp3IoVGV1qeG864sH7AQcnJXdPKnZNzVWZcVavuZRTts4VVRhyGYSMrR8/5ecfbLH2\nhS98gW984xv8zu/8Dr//+7/P5z73OX7rt37rb7mi/4/fSmllQW5V7L/Y0utlNCajKxtkKTGtTRpB\noToeOTkfRAV2qxjlPWhdplKwdVsO+rCPpDlwqPZjas+jzDxM4tLh0uskTuvi1j3iYsReGXDLhCR5\nQFIFZChSq0ELcDsfKgtbtigarALcAgqt6IRH0/jUZURT+ahhg7hdsQkENw20sqIMEqQS5FnDrGjZ\nNi5F7SFqn13jUrWajRQ4QrC9kv8vbW8Sa2uW1Xf+9v767vS3ffe+Nl60mRkR2dqQkGnJlAssjFSF\nxASZCZMcIzED2RNIhtSkxADVqIyrJlSlZMpWgQHTJGmyiYiM/vXv9vee/nzt/r69twcvAaOkIDOC\nWtKZnX109Dt/fevsvdf6L+pjQRe0EK14fPqfyR//R3x5hJTdR+YK8L86/xYJeC38ePcjfF4oKqdg\nQ8Oy0RgNh4nlxW1NeU1zfKMmixv6IbTWZXYvoFE+bi7o6w5zKti68LnhxNwVfdo0ZBpoLqMax+sQ\nYsO+hNsOiACOXEvid9y0ObdVTm8p6K0FI20xxrIQcOzC+wl86MCDDp4r4Ms5tI8cyhOHWe0w9STn\nqSCeGuJco5aazaUmrjW7qSYJoCkF5alkmFi2h5bzNfgLaBZQFobvnj/gwfRDlP19fP725fhHYfu/\n/DkY06HqFfvDAZ9uPJKli1hZVFGj3YpwHJJkHptEcS9sqKxHXfh0nkuAS6gaJkJxy2hW0rAaaDZo\nxLql05qGCr/bsK42PF4VbJ0P2X4wZOJoDicFadgyrmIOCx9xFKGeWHYnfe76Q6Qakqs+SmXEXcS2\ndrFaQG3JZ+LZTm/jUQQdZdjiC40nWjbK5WGXcnzlUh152BOHodT0HIOKWvIIoq4jXraE9op6cMSb\np29x9rAB18e35mOx/fbbG1prKYwmuGZIb4aEUuNIy8h1ELFAJx1d1OE6JYlzgVcrTAVT2/KOGPDm\nSoAWOLWP4yuk76GzAB3FOFVC2IWEuU/UOQStQ5aETHZCtjqPtPYIC4mjBJ55VtG9rmHRwkULsYG4\nAL95dnLxEoCJeCRHDDqHHZkQuTlKVVSFRs769I4zZBewwUUTsmNCRspjtKoZnSmoFJSK7FKSrRSi\nLDkSU973PuSN2ZTFo4pH7cfjCvAH3zoFx8UEc/ZefY6bn5nQZhaZWbyeQCgHEUq8StBtteisYOVG\nNCohEgHXBz6Oa+mGikep4jSTzLOIyIkYipCeDahmoHzIxC6J7hgCOxIaCSsHjNwwkpKJo7ndXvCc\nE9ITgtyG+DZiYgNC7XKysTzqWga+x8B3CfoB7lbEOInQjkD4Fh1U6LbiRAU8bkNMo/F1ibvqWJ2H\nVE8EdQLNnqGwHQvdsbSK2qvYTDe88X7DO2FB+o+dCPM852d/9mf5zd/8TdI05Stf+Qq/+qu/CsCv\n/Mqv8Eu/9Ev89m//9t9a88m7IaXjc5QMeRKPKSqYSIUWFUVX4WjJjqcZJJZzq3iyzklViKwXpJWl\nV7qkCmSvY7njUvgR6y6lqhTKcREjyf4E9h2DaV1alWBXMe7lAG/TAz9E+SH3PMW73pql32IcReq3\nvBcqmkjxpCmomwbVWmqr6GSL3HVwxh5uz8PvZXi7AmfLYaME7+yyKAmCAAAgAElEQVQXrJ2afGV4\nbqnRxQBbpHSNj6dcjJZcSMOJo4nWNQerCieZYeOnsBux/+O3kL0VgVR85/c+GlcAf/vf4FsYtHDc\n1Xwo71MKzTsYZksYJDDowc4I9go4KOEl0/CpdkXbdBwJzbFnOCVi04zRx8B3LONZwssHPjvbEXLo\n43UdmS1IHdg6hfQEru3DF+9AlcLeBnYMBKUlmEEt4MyHUweUhtBAcirobUC4kLuWWoc4tk/QpLSX\nIcb12DwqOH9UsrzIuTjdYNqWtATfEdShhzpwuXGr5er5DhVbXlpCNodPnMPe6ibf4Yu8wRfJcPkm\n//Yjaxbg9X8p6ZqQfLFPOdvlwyeaJ2JD6eWsY8U67NgMDKpvGLodw6bhvcLlfc/l+dKnOQmZiICn\nfs0jV/G4dHhStgS2ox/AODTsBB39sGYVrVh1l+w/aZj8RUUYgXq+oRjl6NIgi4irfMDb1icIMrb6\nPXZbiBc5WQ5R7VM2Bs9meG3Kw5Xhj46HPOwFyGADvZLCBJRaUa5ALn1un7j0piHRRiDSOSZa0owi\nLiYxbtMQPSxJqnOi6pz9mwU3Pplhehkiknzj/3z0kdnu/ySoFhZrWG8ET9YuVvjEFz7XQxez8XgQ\nSo7iljqrqXs1d/0Vd6NLlNE4jSJSDtQbRNUQi47YNRSrhtWTnLRxuJ0GjG56nE4tp1NLbGte1D7j\nNqFepGzWATMEy/TZDLughmYJ5RL2a8tWDjslfEELelbw9msxb9+WRE7MfjggWxVM5yuOVYXbBbR0\nnNDRYuk1it1lysH5Hr1+H6IazD7obWgBtyJNcp5z+/xPgx1u/yi88WPnvLg0fOtPm4+l2c987nVM\nEKDHQ+xkgBooyr0Ns9hh6ofosiQtCno6ZG9ZsPtByTdjwbuRSyQ7vrBVMNlVrKMFi2hDF0b4MmRf\nCF6zin1foSYuVe0xXY75zpmHCBo+6yn6Sc3baY2Vks9vfF7VCYz72O0RpbScOT6TZczBxmW70DyV\nOR/ISybpmEnqY0eaetKS9lyuIsmTQFAITd5oTq4MuYKh65LpiGyuuHOiKBYFh0oTu4a1D9YPycIe\n13pDgoMdLpOIqzRiEHQ8/L+nP0iK+8Et1n7+53/+r50N/nurn1/8xV/kp3/6p79v3cPGZe26fOD4\n3BMBmYbMUThdDbqmbxyUJyC2XCjF8aZkWG9IqhVRLejVHpF1WOx2LG66zIuA+Sxh3bqUfXAHsD2x\nbI8NxaXH4sTDnvdxjrZwz4eYiUsz9ngQb/gjXGpPse0qtkONCSumYU0jalSr6KymwNIlmng3IujH\neH0Xv9/DOwTnwFKsO963Jcet4nBtuf3Uks8jpitJW/i4rUPXCU6l5Uh2vGIa7tqSuJ2xiJ6yCR6g\n/DOawYqWZzvCj8IV4HcmEGgY1zBoYO5YFg5U0qI2sDuDwQS2C9gtniXDz7UNP1Wt6UrDu0jedCyK\nmLkao081VhlGeciLykOagF23z9AFwSXCg+rps1fwCdh5CdwtSI4gsmArsEvL4wBOJZwKaDSELSQF\n9M4EYgL5GBob4YgJYbcF8wzTheRPFpw/XXB2dcmT84ZNp6EGm0gIPOSBz/SGZXVHc0NYXjiGu6Hl\nU2vL+MRyDvw5/PV+8KNqFuDSF7TWIXc8chnQCoMSG668klOvoUw03sAQ9w0HXoejFBeVx7nTMG08\nRqsY1bocxy5Popo3nZY3nZaB7DgMWl4KDXcywW5UszRrFu0Veyc1k2+WBP1nzd7KFOjcIIqIq2KH\n99gmDCR7PYPQLbtZyWRVEVmougaht/HbbR4vM752POQ7vT57OzED1pyZlrO25frK4e4J3D5xuTMN\nGeeWdVSzCK64HKb4By3+vCKWSxJ1RqQuCJtLdFKjpaLIgo/F9iJWtBVsDBSl5Mg6bKzPnuOxsR7t\nzOdd3/Kd2GWzq1jvNuSTDb3MpdIaUbeEyoemwqkVQ7djEBjma0W50mSO5G6ScO0wJG9b3p61RHg8\nZzyyynKyCLkqAo58eJCB7cC0IHOQuaXbwAsruFPAZ1t4vRP8H7ciPogjwlSzH2piUXC2jjjqVrTG\nZ0P7rOKchqxr2F0lXBMuUa+GqMU4+1h3C5RFeCVJuuJO0GcwSil25pxdg0yKj61ZrQYY6dPZPtZJ\nqQczyoMNp77DhzZFOyXX85KwCpisCl49K3mv53Da87i9A5/bV9wZFHxdTDlmjWYHl5RdBK/ScjdQ\n6JHD1Pj8wdmY78YjDoMNr/sbgnjF8ajFCsFnVcBPlSn3x33uT8aUWrNqHEJiJguXJDJop+BeO2PT\nC6lHfaqJ5mpL4Q0l057HXiiZzTXTRYd7ZQhmsGsdUu0wXktunxXY1YL9VhJ5DiKwmCAgiTNe6Y/Y\nG475pi+ZBg6N94NXkX8ki7WzszP29vYA+N3f/V0++clPft/aTdJHCY+UhMMmgCCGKCEOQ3qRZBJb\ntiPL0IFbfoJ1fVIxYE9PiJ2MbvJsAOrt1GHHOjwOGt7dEswxuI4mtZaXNh7XW8msBd1zsC/AfEch\nNhVnXcxZ5xMnCT+SbqGiFTLc4HmKqHOQXUgvDPFGfeokYD1J6OKYyGRENkb4DcJXZGHHVmSwtWFS\nRwwbi7CW0jO04wR/ZKlkxdKtWHeC3qng1VPJJGxok4bNeIPaO0dtHzPvLZj5ivB78yI/CleAf70F\nRQdHORxXDpvtWxTbP44jv0PfvMNYXtHTEJxClcHZFrz1fkP4ZEP/KKI7HpBduWS5T9K6mNGM9WBJ\nsZtzetOjOSi46Hf0HY+9Fxv2A3D/CMIjMA/B/ieQQ3Bz0C6c3YXz5+F4DEdbsPKeDc31VxA9hOSR\nhYOM8pUM2Q7Z/dSQ54sEQ4CJQ9rPXuP4uUOkt+b2akW+Vlx1llXVQbLBOhuWpyselS36xGCfgD+3\npI2mQhNgeBn4Kx//j6pZgDKN6EKfxhW0iSZfCfIjQe4LCAT+xODfaPAOHdS2ZTEJueO4fNnCjQRu\njBx6gcsLgce216FWBVerFTet5TNCcNMK+gZa3REg2SIgfa3DSVashGA5EjSOYen3mTsZSdzn9UHK\nzsCykZpL4ROPYnrWI1lvEW+28GZ9xCZkMvP5VOgjRgJRgDAhd9eaF841e3OXg8pj5PhE4xAzUqR7\nkmQXPplU+LrFTUoGdzZkuznxdks0sYQ7LdF2yVEqPxbbVydQVHDUwWln6ZmSkRFkTk6Qa0a5yydr\nn5F0qJcDmuoQdQVfT+A9T3DidFSlB/SQ0RDpX6FlRemXCK+jtpb7zZDLyjJ3IRsKnqL5vblFejUX\nWw3zfY8ydWhdh+33YHv6LDHPXYEOLCaAqoVjYzjqLN+drTn6cE0v6xgYQ2wV+STnSVKz0/kcrAKs\np6jThkloiHzQmYfZ03R9y/sLj/cvfMJasr0tGe1E9GJDOC5xryvkWLNc2I+t2fs9FxMKVKYwaYGN\nFKFnKTzQGPJU88FOw0nUMF25HK36fCgTfJ08c9myHiDpdYJdm3IuM9aOR2EtHQqsh7Q+kQM39uBz\nr4JTS0TtgCdIBGAEUkU0zRATbiF395BOhzCCxWjAG+kAsTfkSu/RN3uMtjIm2xFFpmnSNSbK0Z5L\naSVtXcKiYtCm7JmOkRuyChzyccvayXH2l1Q3BVeh4Hyn5ez1jrYR9H2J8lwWnYdufYRp/k5ef1f8\n0BZrv/Zrv8bv/M7v8MYbbyCE4NatW/zWb/3W963dxH2s9UhVQqRCNlFMnqbEhOy2kv3YsB3C0BHc\ndlP6MiC0A3rNGB3GXOxBPbHcbhy+3Di8GRaogeAKzahp2WoMBxvBwcLFyaDoS8w+zBNFTsXxkc/J\nsWAnS/iR3hY6Esz9ktxozNzBLj36YcggCOm2h+Q3t+jiHuGVxF8I6mBFHawxgYKwI/ThZuWy3bic\nWM2JZzA9H78PTq9inSnmRnP3GyF3TwO6UNFMGtTumm7vnHZyxDxc8tRX+PefMfrv7ap+UK4A/3ob\njhV8zYPv+pL89k3KF3+cntPRV0eMl1f0jp8lwnILTguQ31Xkv7/h1tmI26pHr+uTGo/EdbB3Vqz7\nGxZ7itObguVugXUgEwmffrlh/w64x+D8CfAQ7GMQPRDXQB3AyR144zac34DpDbAepAUERxD/v5b0\nWCAOM8rP7eMkfXbqFNFFeMJHeyHvHmzx8NoWN1XLnfOaouloasOqyyF6jHUeszhRbN5b002fNe4G\nC4hrg6b7XiK0f20i8VE1C1CkIYaApidRI8PmqWQuBI0HZAJ/2xBcr/FvC1TfYd4L+VLt8LMVjBLY\nXHfQY48DVyNpuXqkuLdZ8rKW/DMRsIXDlYFLrQmlZEuEZK+XuD9WsioE51cei6uQWvRRNiWRHp+W\nPjrT5I7mQghGIxcVRshkmyjaQmxCRBkw6TxeFR7+2OO8CFgby8HGcnAOkzWMKwGuIB9LdGLoH0iy\nffDrir1aoZMS97kCoXJs3OL0LJO9lsm1isr1Pxbb1yawqKBrYdVZ+rpk3NX0mg1hoRmtPJKrmBeb\nBFsmGJ3y/3gL/oMz592e5WTcUUmAHiLso/2axrnCBhUy2VApuFc0yNLiuoJsJHmqNf9h3lKPGqZ7\nDXo7YDIS7PoOwym8+DacWFh7oH2BDaBSlnut4S/oeHM65+iDE+70FMMQ4qElP+x40jN8dhVwcNLh\n9RTtdkOcCSI/xEQupuehU8u7Fz7/10lAP3L5xI7Hi6OI5zJDf1zhXW8Q447F0cfX7IOegw4Fdabo\nso4wVAx8S+NbDJbc7TiLGoqh4unU5wM/QZcRQRWRdSCMh7UePR2xpzve9SQb6VACmhZhFcIYQhdu\n7EM4FlycSS7OHBCSWFiklsgmRtUCE23h7G6QUQvSsigypqMB1XLIlThgwB3Gu4atXUMQVuSyoKJD\na5eqlKh5ibUVg1Zxu7W4Ycc081mnHXYnx/GWlL1n7WNnAzg9ECgEiXJQjcdyGaBXIbL6O3H9nfGR\nLNZ+8id/8h/84HNjcawmcFoCUePVOdHlkpEKuNaE7Lk+waqlO9fIuCGOOkLtEDceKlbI1tBqzXql\nuJy1tF7DILJgXcLSwW0gli4DKekcie0LpoHlIjPkboesFKOmwY+hiZ9Vovobn2HlkiiXWHpEWUaU\nZMisB0SYyqOtHZQSrDoP20lMY5B5w2BpuLn0ub7W+K6GHU07KhFbBi+qqfSGcF2xE/tMej4kNdqv\nKLz7LNxjlDNl3FZIpaiGMWu+367qB+EKcMMuwUomNiCzHiofk188h3LfozARVwXc70AKiAx8voVk\nE9GbjlCzMY/ok5NxhGJuG54oj3eU5mrVcu/MMpsX6OmceFlSULAE6gU0dyAIoDeFUQM7c4iBqQ/3\nfKjGYAJwI2gLcBSMW+h3MOpC2m6AG43YHyUMTUK0iiDPcB/u4zzYx7/fUX6gWOU1rdcg3Dms1iCn\nhGVJUpZkK0G4CCjnN3i3fImnvMKIbUZIwu/x+aiaBbjsC6QExzN4omV44hJfONAGyHCA1+8TuuB2\nmq4ztLrF1y5559ApyaxwEI5P1GkmbcekkhwkIanyqHXMykJuG1qhSD0P30/YcwS7LVzMJcePAopp\nCozx/D5x3hBtajpjUYnFHbi044S1zRBXMeWVR1S6RIWLtg6DULLrSLSQCCw4gqUHpWc5dS2d11FH\nFfSWjPtTRukli65goUugwfMVgciJcQnUCFtKVC4pZfSx2DoKEgM3UogF7CvDnjLsT6Fc+NybBZxd\nCNaFYRwIRq5LEccQGULT0E870kCxoy1bysHNe3jNHqs0ZDYIaU0fbz4g2gzY6Sw72kCsEJmiHQTc\niiVuYBnGMAwgE7Cqnx2NHrSw30Bage00jV+Q+xsOBmsGw4rPas3uhSTI4TN9jc0ML/sdaeqgb2nU\nJyyMDZ6scRxD7jRUKBYXU5QrcKVL5hj6wZKw5+KMhsThhqHxWLXdx9ZsnpboGNQE7C7EPcM1R1MI\nS4ND5Ui006KcgqzfguioKsG69vggBd/X7COxMqG2LkYI+gBCcmUlp06A7zu0WB66lg99Q7WRlHGI\n1jEDEgLf4F9r6XYl4WHEpBfQ8wNa6TGnx3Gvz8xEeJXgoFHsIBm7Es93KF2HhRaUVch67aGXPnoR\ncWZjhBsRBBKVdrTjgiZZ0cQzlNfQ+g3TQOKGLm63pl36rNQObQN+ZTGr/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G2Fp0qE07GJ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\nA3rSRtkOpa1Idjm7YsGykJxWhnOTcKVLikbyxeyEL27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LD3vTo+eG7Fs+vha4WlIiSVBk\n1LQUNLJLZO1z6NzjtYHD/sDlcW3zr1fv/9DY/i+vv8nC1fz1pOZv9mraZENexiAVoeux19R0Io+k\ntLjeZdxEBZ6fYJsYr3ZhV8K1Qa5b1LKiuMxYrSJyGvwudKMO/aiLQ4ApLYpWIZEopQhkBaZE6pIr\nbbPRknxXoOsCnwTbpBRFi+v5BJZPx7UJPM1pDqc7xVwIGi0JHE2HjF6dEKwsgoVFs5DkSxsjIGhd\n7BZ6bYeBcXE9B6fXELUlUQlzU1Cohub4LQa911Bxw92t4Wr1f7wQZ08OKpwcBjMYLyraaIMWIW05\noGpSqBT9ImcSFQizY62X9EVLJgrMzQpn/YTAxBycTbnXH+AtlviLOVtrxThcUcstd5qYaVVgJxJS\nSbtVNJlLo0OE6iFUgHZsagXGX4F3SpNfo8sNZZuypsBVNZWV49spds9ncOBDESM2W0RrE+1qrq4r\nzpcpF5uUTDv0+i6MBe1AU4clx/WO/XqN8b5L7n/EztuisxZTl0hSwtdL/tkF/LPnMG7h3/2jqP39\neKEKuBACIT7bRuQN1SGwBU1f8diR1JOcEQsyAUnQ4dTOOWuXXMRLEtmSSA1FxaiSjIseh+kd+s0D\n0u2nig/iikIsiZyIbT9j2y8xfoJuoL9rGWxapq3hpVZx11ow9kPG2uGO6HEsuihV8mqiGawkc+mz\nFA29sIMlQ1o9pDCHJNaEVWlYrms+qrd8VK9wuGbUn8PJFYV7zuTohqgHOyluTTmDhoGw+RFL87Iy\nlEND6mhmmc3ZdY+OHlKaIaHuMcolw23FPPp81iv/GLZ5cg9jIsZtzmtiCTcJpr7kZGLx8mTEXtvB\nmymqRQlJlybpMrvO+StqSmFBr4ctBXvZHi+vBliLig91xeKlnPPXcziB6TCiM9ix7Q44pqChoTWG\nQoDmdqfZBrqAAzgIciA1t98PEYyBQsAlsHAbYlkhVQFWjmCDYEvFjkfk7EROal/j+Wd0Dtc8fJCy\nrzXlbMCHix5XMuJSRWxTn/isRV0HhMUEzIBgumOyv6Ov/2k6fz9cAbqTEzIL3usJrjqatXXKykoI\nuy2HfTiOFd7HIc3pFFl+maD8aRwe0+UDEkez6hvqY/j4i3D6Yy3V+IJndg7cp+Fl7qoud7wth0HO\nA+VS1C5fSCQnuWJ4JTADg6wL7vaXHHQWyDhBJQmFrlnh4WSSXMJzH57kMU+Lhrvv9riXjfG/4DN+\nQ7DZu4b2Ayrvezw96vD2uEOQTumnB4yqAvtpiO0cUtWaQmsEHmM8KrZUzEhVgAyOyLp3acYOauSg\n83+6u/H7YfuT2xOuwprtIOZGxXRkSig37NsOe1aPw8hGLlvSdcBOOqykixfMGIweYURFY9/Hr464\nMxPsn9ZcRTGX7Q67bghSwWB52zHr+Dbe3HAnb/Eigbe28ZISr0iZFy3fLENWrUNTRFT1BiW2CLOj\nVC5x3CPshTj9Bmt/xyJpefdK02kt3jJw4mn2yh3d7oL1NmSVBKxmFcsnGtcoDvYk3ZHBDBJG/Yhq\nklAONGlliNHUhaavDT1tOOhlHAwjBo7Pv3lBzr66AqsCL4OwBk8YGhrOopbvlC0XG4HrGr7oalw3\nx3V3OHXMshJ40Q295BMmpuLuew3H1zZJMScqntOKNT0rIhQ73tARJzolbiRJI8hjG9100fSpqojI\ndVn4hpVro53naPtdzswlu2KOCHZcT2vUPcnwwPDjBzXxMCEeChrRwRQd6u2avy0jvjWLkPEC2S5x\n/YA3/B7xQHNjpRTNllfbG75kbvB6lxxMr9i5JYUwGNliT2qCEO4O4a4AfoCG3B84Ee7v73Nzc8PB\nwQHX19dMp9PPvO+u6SEtqAaCs5Gh72v6IqGhphAZV+T8Tbvie8UOWyjsWnFQGU5yyV7m0CtCnHzA\nrjLsjKG2JI1bENsZu35F1m+wTY5dtXhlhVcUjEXLyIWhtaMfdOnYNn0OGXFA38r4Yp4zVS2PA4Py\nJV6oqTslZdOyLW02dcA61ywSyWlR8DSfI/wZ3cmS0NkSTBP2hznCb6lEQyVtWsulK2xeQfEjBp6H\nLaedkmJhiHoWyndQlo1vFD1dM2hrdPPZZ4c+L7Z5cUJjbwnMmkMV0F0ZevOY/mjDYH9NR3fwbhqq\nTUzX7tO3BzxO57w7j8nHFZ1GcOg73CXgYdMhjlwWO8GTO4KPjgT1Q8Nep2Dip/Qp2KOmoaUBtIFY\n3BoeW9ye7/G5TYgSKD8d94EAEOZ2rFYVqUixRYwjIxpWCNYIdlybkgtTErJgop7zoHtDeLjDsjSP\n5T6Pyz2uuxlXYYZmihVn9GcVQQSDVtGThm6vZpJ99lbI58UVoA7uk7iCZxPFe2NobU1rZQS9mOmw\nYG/r0C57LBYHTPUX2FQ/gTQGuMCRDiPHYq8nOT0yFK9onqklH6slwwKmeZ+7UYwjCgZBw33j4JWS\nB8JiIFy8tUV9abBkSa/ZYJsr2GWYKGPFgKVMqcsKpRp2XsOyKrhuck6e9Bg/77O/NBzLlo1ZM+98\nwnn4N+S9kGdOwF72AD8pMIlNeyipZj3KraSqBeBj8AGJQ0IuA1JnRBkcEHYVnZFFkr4Ytq/mRwRW\nxQd4HDiKUFWEpmEgMhyxI2h8hmtFfW3zUc+h7lmUIiWXl7StRZPcoFaHePMOg2ufZ23Gmc6wy5ZB\nJChlTtOUBG4JS80kbunvGgbrhkGeMqhXXNQlHzU9rNZHt3NKZkgSBBml0yPfjUh7hmBaEAQpN6uG\nRzcVL9cWI1vySpDQF1vsass60SwTydU2YTbfYklI/C2DTowsS2SdU1gzik5KVtWUTYPMHQZWxomV\n8tIg5sFwhy8+ewr+QTg72IGoQRXcOrlTE1Nw0SS8ne3YCZeHsubENogwg3BFXuTkeUrAJVP3CfcE\nnGwG7K/GGFZE4hJXb5iYmKGJOSRmKnJQikwqpImQQYYhpmJDa8EszLjoCBp1RiufsWyW6CqCXs1q\nauGd+Nw/srl3aNj0KjbDhIQlWe5zde3zQbvlebHhjnPF3ckV+52QabeHCWu2wZbaWdG2V4y54e5Q\nIvYFSSUotxpRG/yOoBNKJr5hzzHsBLeTz+eIHzgR/sIv/ALf+MY3+O3f/m2+8Y1v8Iu/+IufeZ/Y\n7aE9aHxD0WgkA6TTpSwXyOsbQrllWkTc9wTBpoP/tIdsumSmYdYs6NSPcJotz5TDI8ul7s4RJxk0\nIGwH13gEhcYvCyLZMPMMmYJAQCBrIm/Otf0xN+2aup3RSE0iIzp6h+dsOejtqMWGJ+IJq2LOuSko\ni/vsryz2t5q5/4yx94wiMujHB5h2jz57jPpLvGZDYLZsG49t1kVpGyVbHCkZOQWts+Lu1OLBjwj6\ndkMzLMhkyCeTmv/wUs1+9dkqHZ8X21SNSSyb2Dtm6yewzVGbhDrtsNtUFM2C5XLLvFKcPoSzh3Cp\nanJR0/gZmZ+Sdx2sI8HwoU24VIwWE/TEoxoM2AUCZYdUSAwKicUBkqGAiNtzdTNgBVwamH5KJItb\n9w+Ax8AnBq4NVAbGacoonZE6C+adBbG7QZGyZzKSpiVuGk6Tgv97m/JemdGlQXQNV8OMxXDH667g\na65Hmhdc3DzDqSte311wL+lR5BnloxyrPH4hXAH+evsmrS+oQovjnmRbTdjxEt7yKYP6E0Te8kly\nxHvduzyqB3w7FUgGwAPiMma13LG5SuneVLw1r7juwlUXHp5a/Ow7Hm+9G3C4C+l3A5zIZhrBoOsT\ndYe0boHfrrHKkrrKKKqcNnfRcZeOc8SP+EcIe4++E2LZDt3W5UHWZ2T3ULbCzpdM4rfR2Xd5Es44\nczTCLXjgtnTsC4JORlH4XMQWO0fgvt/gRA3naM7QbEmI2VHoKbo0yMzmVNf07QLL/WxNzM+L7So4\nIApq6HTp9AZ05YBuMaYuJc8bTbtN8dIOg6LmQKa8bGrkWUKcWtinCc633qP8uOJp9oBrjnmfmveM\nw37aEBQtRZZxoS8g3GItwb4SuHHJIClRes1KLpjbGWiHIQqbLTk7NIYG8IoCvYDGbLnxDNcBPLtJ\nmM8k0k35znjLzq0ZtQ5e6vJRJHgUNbScI8bPqfsRlw8XlEcbkAVSFQzDiJET0VqanpB0ZY99kTPy\nNzRTwdVUcGg+ewr+QTj7vQpoQejb2nxJCsw5p2DFAmP36IQ9DvwuWia0XKK9HcbdMR3f8NLJJccd\nm2G8Ikx2TJoIu40ZNRuSdkNtMq5Ey7kS5I5P7gQ40sMRBlXG6LSmbebkliK1NC0zWiyCTocHnqI6\nlpjDgN00oJyEyJFPELjIkUumWq7Niqcjn0UuKXSfzmHDvSNF3VQ8LysunIpZV9J4Xd7TdxmaPU5d\nn1PXh01BcBrTy3eMrrYoFaHihv60Rhrg2T8K29+L75sIf+VXfoVvfvObLJdL7ty5w+/93u/xO7/z\nO/zSL/0Sf/RHf/R3bb2fFWI3QddQ9g1l0yLFAGn30OUMcX1NaBZMC0PlSXrrDv0P91m0Xc7clkou\nGekYjzOedbt8t9el6ZVYvYx+DdPMZi/z6JQZ3ahg2TWcdSC2YNJAT9TU3QVVL2dWz6mqPnVtk9aQ\nmgLPmXPYXTIXNVei4RO55IMaRBPztWXAq+cWe0fPmBw+Zx0dkDx+BVP26Y3WnNxdETTnhJxj1x3K\nbIRqJMqKcK2UoShwnYp7U8H9q1I91QAAIABJREFUPehRU4icqzTkybjm37xU8zPR7Yrwq1/96g+F\nbapGpJZL5Kbs/Aq1SLHXEVHdUsqKi3LO27uCj+2M+I0t8as7TD7AJCPwahpvQ9HzsI5DBkUfGSik\nGsOkT9WvuQlrIlrqTyt/CsU+kteACjgBPgb+2sDFpyTqcVsTDLmtCX4MbABjQGhDkCbcWc64CM95\n5F6wcXdMEQwRmEaQFHCaFpxtU/w0p183OI0gepBT3oev6S7/s+mxyHL+480z2nrOj687vLIMeXRl\neHRtsLR5IVwBvrV5E7+WHA8sjmsLU71EXMe4N/8vw8sYbVI+OTjio+49+smAPhLBELiPVWyxV9d0\nr5YcXmvuzCu0gHkID88s/sd/6/HGxyGRCck7AdMduDHsQo/It9BORKDBLkqKKietM+q8SxPv0e0c\ncic4wrX2EI4E2+JBa2NSm43rsmkldrZkFH+PKv0u0eSGU1fjeiUP3BJlpyj7nMLucW5NsbyQvU3O\n8MOcD4j5K2Ji2tvdJN2B0kBuI3QBVsIbXv+FsF37+0RBi+kUdLoFPTVmUOxR1Vuel1uaTcr9tOKk\nqDkwW15pNszThMW1jfVhwuAv36M4XfN0rIkGIY9peGxc2gTu5poizVjYMVlj2FtYTK8snDJjWGVk\n9oprf8FcRVBrRmgqCgpKGnxqQjpFQVvmtHmHRegz7/g8nZUs5gX58Aoxfc6NA3vt6/jlyzyKBY+2\nLWNxyfHklO3xBR++ccn58QKTFJAXvBkGvOkESCnoeQbPCdkXKeMgIj0acnU8ot/aL8zZv635u3qF\nhQESXFIumLMCOtaUTvdNDnsDqjKhKiNsb4XjLbnz8pLXfmzOwTREzNaw2OIUEf0yoai3lNWCC1Py\nvnQ5swKswMcKBuxZHnuWQUUxer6i2lXkTUVaV7StQbeKoNNhz/NJTnzOD4ds90PKiUGMNaFxCXG5\n9BqurTXPhh7zeELT9ul8WXH/SwFPVnOeX9zwjJKboUIHPd5jj0a7PIsGPIsHdJMdR6czjudXmM4Z\noVOiEkNv2mBZ5r9MIvyX//KzPfP+4i/+4p988DSfQmMQ5y1i29D50j6dV3Ys7IxtmpLkBr9OOZQl\naiJRr1o4i4rOYk2bp2xsQeFI1qVPW/gMOpKjrmBCSj8NGPn77HcWHEwKGmV4bt226AcF9BuF9kJ0\nPaFQDptQUrY1l2VJqjI8J8dVFUQto1gz3WbM1wt04eLtafRJRX7nEzZ3bsgzhbVcgRTcJDXptSKp\nfJKih5677J9LRqZllzd8XDTYUmBLyWWvwvQTtNthLWxmRY/nyxrneX0rnQVcXV39UNjOfkZQWuB2\n4FDAzUuKjx7aOEVON4tRy5I3zyvu1zlnnYgzL2IzzNg6W+oDA72SvO1wmi95O5px3PocOz7Sbmll\nTUbLjhZTa7rrltc2Dd4wZz6KiW2HBZIEw4CKh6bGq2zSysa2G0KnxsFC1QGqcvHKBrdsCOI5ovgE\nzHOkukRVO5xA4zsQtja92iYMFvSPc4JFi5cYrI8F7VOBUBLPWDwxNklkYVYCE7dcpSVlIblu+kSm\nR2GGL4QrwN4bR3ieoDu18MeSg2ZI2NYMdMwmW5Hlc5LWoy1jsn6ECTfc0RF3TQ4qZ+ek2GXO5G8b\nDpaC066F7NqI5yHqeRehPczYYNwSy1F4jgVHDc5RjhyWFF1NtueQ3RuS7LfczLrMJh4nAbzSLxiX\nJc7IR+zZpKFDKhyeWkueWUtE/0P64ppFFfNuXfOsArsAq4Vpx+Kw61Bpj7kryQ80+U/UlOOS4VnD\nT5xrriPDZQ47ZdF2u5jRFDXpY+1V7NUvxtlVMCB1W8K25E5ckFWKeWGj6hqn2MC24iat0WXLuWVY\nCUHmGkzQUAQFM5kjW4GqzqHs0QkdDgOHjjbUtSZ1LXI/QDeKUaV5pWzpNi25STlvat4uLZ4SsGlr\n2k8r3JIOOT22DGno4hmfpnUwmWCwhWFx65ThexVhJ0N4NZvtjNXGIV52EcsuXrOlqzdUKkIelrRd\njfFAdiUjKXmYSoTXsAkKWtWgapvcViTdLlEYUvn+C3P2zpehriBeQ7aBWQrvJ4aVhgxwGsEqsbis\nXazmVg1JiC2OWxNZFU88zXyisccldp1iP2uxntlsxIi565N5GXu9lFGnJXE1qQO2U1A5O9KNjQwk\nyVpwWto8Li3CwicofexBi5pUjB5KwmMXMVAMdUMyb9n4MVt/w1lHw7Hmvmvx5eWSYR7Q72hiy1B2\nMpwDyQRFEGhsq+RBVbNfZVzaDalXUvUq5KRFBuDca+jvl+RZi04N0Q74y88F4X89ZZlpsYeVG4J1\nTUCN/8o+/jhDm5wPVynxtsZTM3qqJJ9K8qGFTUX3fE22atl0Km46DevSRlsW416H1/pdjmyJ5wV0\ngwNeEgUviRWzAv5TDtYOghoGhUIGXVQ9JXJavKAh1iWXVspCRAycjIGsGSYwvjQU84LlckHh1bhf\n3NK+tSW9v2L9YIm5cOi/u8TkFlcJlNeSOveo4j6HM7h7JuiLlm3TkFUNe6ViUsDFSc2VStnKinPh\nsCp6uIsa72lDsHgxZZmbf3HrmOGv4TiCj16R/OVDm35a8dJswSvPYn7UtAy3Fd/rxARewtOjLdmR\npO4pCBT5ruF5tqDddbHqIXdtibQMtbhNhFtjkLWmN2t5/UnDzcs5113DwnZZY5OjGRIzMDmbMmCT\nBAR+gVIprvGwc4md2nTSml5SENQzRP0YmifI5hqr2uKIGs/RhO2t4sZhsObuSU7Yapgb1CcC70Li\nXyo8LD7Goe1ZtCOFVobztOIilxS1R2EOKPjHhaE/bxy+dYRlCbodiRcKQiM41lC1OeskZrV+Sqp3\n6DKiGG2pRmu+qCN+tE2pm4zHdUpT5Ox9R3Py76GvHKQKEKoLqgv7Hnqi0XsFyvXwPAv3uKZ7nJEN\nC3YdTTq1KV8ekxx7fLIneX8iedPT9Ls5QVMgj33koU0kbeaFzYdywXfF21SDDwjlDdsq4Z2q4lkJ\nIrm91Mjhjgwpjc/clSwOWupxjf5KydFfNrz5l/D4AqoGMmlBt0e7N8XeE3hTwX79Ylqjq7BP62g6\ndcXdXcljx2bmOnSrHYeZQUQ110nNsmy48gxLIWldA72WIszY2SXa1IzqM/pVSH88QB4M6Fk2DZLG\nuORtDyv1GNU5r5Y5qWlJTcaZqfle4fAUhWtKbBpuE6FNzh4L9knp4mCDFkzygtEmZ1TmjJXB9Wq6\n3QLlpWzzGdHMkM8mqJsWX+/omh2FlaKOavQE6EjE1GYcWby6U6AqbtycyM9pG8hsRdK9QxR2qL3g\nhTl7/8cgy+DyHNILmM0gzqHSt7V8vxYsI4sL6dEzkq6R2I5Cd2p2qmblauRI408Lgm5K32j6lw4X\njPnEcfBHO3706IyjvQ0XquVCabSXU/maeOnTOD7r0OV5bvFxbnMYjzmIx3QPa9SDgtHDmv5Jg9ev\nybaGZKs5G0c8cXYkYQ2u4eUefNUVvLZVfBQEfCh8ytDCdRVTFLaq6eiKY92yV7Z8YOXkXkzcU+g9\ngbQg/ErD+AsleWvQGqJPgP/182H4Xy0RdrWF0ga3AccIfOMQSgclexT+IeumBr8CN0UnDjqxaUKJ\nNarwvZLysEDvFYxrg9cY7px02X+1wHUcdktYrjVlZrNNO9xIjasMnm8oR5pN5RA4iqAy9Bq4Fwvi\nFsrKYCR0aoWfOThXEnUjMJmmUiuibsLlcEsz3jHzMoo6B52T2xGyCkgLm2ItITeIraKaG7JLjbE1\nVSBQtsLNbca5R9GRlMOaWVZzHhk2l4r9j206l5J0+2KJ0N0DkYKMQTcQ9htGLxf4TYK1vwE3hbVA\n5YZJUfPKrCYeGC4lZI2NWTjYq5LRbsNRdYlscuYmpzSSHpr7RnGAjS0tJn5JMshJ/ZZcVli4THBo\nK00dR1RJikpL3KxgOio58lJq5dFi4ZsaV2d4bQZRRbILKU0HZXm4oYVMakyvwd7VdHYWB3bDw8Cg\nHMN8B+m1QaYtStYUdU5WKYRroxuLQnWI7H1Kf4+RPWAiHLryU5+hF4jpYYBQAhUIRACu3xL4DduR\nQ9Hrks08TDzHzhO0u6QxC7JqwS5f4MotQ7ugtlq2MWTXkki6dGSX4KRB3ZlRP3hCetwSD1JUMcFK\nJ5STNdXBCj1aQSdGTEqicc1Vv+GJ1nzgGCprA57Hpm656+YMVUTe3JqrGv0MS8/I2LGiZFcZyCWD\n2MZZe9hrH9d02IUdtrXN7loSZzXR1LDdqxjvN6ihQa0FJpLoRmEKMLHAbDroRQes7++b90+F8V2U\no+lakq6QPFMZO6vFMhLl+BgrY9FuyfOCa9lwrRuwNPgOUrnIQUNn0jIxKZN6xbpokbHG8lsKt8I0\nXXR6B73bY5HDI20RYgipcExFayStMARSM5AtW2OzMwpjFKG2sFDshODSGChq7KiAsqZbaMTWppj1\nqFxFtVIQNXhFg6MbOtrDN3v4sUtwmtJzUlwnw5sUuIVFnFkIq6YuWhqtKW409dowKTT3ipY7uxck\nLHDYhUjBpgf0bv0+LQHdjoPfd9mjy8nWYZhKBD4FPnE9pKqHWFWNVwm62mbfb7FHMfmooBgZziQ8\n7mk6Aey7Fm7uctlaPGmBQQuqxBISx7VZB4ozCddSI5sWVYH0HESgEEGJ4+VIuyESsGnhTBs+xoCu\n6dU1blWy11ScNA2PM5/51if3e7huj6mCA0p6bUlrl6RuRWmVNE6BGBvsOy04O9aHKWdTzQNgYWD2\n+V2YfnCJtd/93d/lD//wD9nb2wPg93//9/n5n//5f/DbgBojQbuGTEkcBUGtaQKPfHDIsgvLXsTW\nX9N57tFdugQuBHdbAl/ivm7o3tPsX5aoq5Lhqy29L7fErsvjUzg9NQSnEv9mSNMabAxB2LAd1pwi\nGO804zijt1OMIkldSTKjqCwb2TWoUCI2inatSHzBarLm+kiTDnLOVc5s21DvDCauiNoErIimctE7\nGzeqcaWmXhmuZwblG/RI4nccDksPVQboVNPuWqqkpvz/aHuTmOu2s87vt9bafXPa97zn7b7+fte3\n4drYGEPhAsqpQZRUkDJDmSAFIVRMGJgxpMgoEyJF1ARFTFAyi4IqidJKhCKIsgHZxr7Xt/v6t39P\nf87u915rZfA6pRRck2tfsqQ922cf6bcerWfv9azn//+opf7Iop8EiMuYxe72LfBvyyp9WrZ7wqKB\nUgvyVnDgN3xpvMMEG9yDLUaUzJ6E1KcKZw2PPobzGLwJCAUsBPFc88ZyzT8ympXe8UIvEcZlahQP\nbchA9AncgN204kma0UQuxnUZ4bNnfagMFxc7bs5zpm3FcZMzoeVgVNPEFYGCmbulcXMaN6PdCYoX\n9ykagaMsQSRhtqWNc5ylT7zymd51efRIUAo4W8LFwuLutfj3LWrXMdkWCNehDRWFc8yVs0fuvsH+\n1vIIzcQ1oH98rgCTgUI7UMeCNgWmBXKaw7qgvafRFx3qYktwNadeXqOX+8w3N7y/ueQoXTE5aDAh\nfOzCcyGwymfopvSPC9SXP6C5P2OTXDDnHnr5OiawrNJrlsNr+uMVJ+mGeJixC7Y8VxnPUs0T37AS\nmhvRcVFn/Gw35/HIpxkUqC/kDJsd95odV5cdNy8ksnaY5A4DBelsj97NHpkXcz2KuNlB9lGL3u6o\nlCDba1j5hlliWYWKQrm0hcSsW2hLWjHANkOK4SdLrH1atl4kcRxBFAqUL3CijiLekGiNDHro1rAQ\nc67LgvPG42znY9HgxEyB+1O4VwmOlh17mx3O2lLWLV26oerNsHoAa0G39vmoULzC4aeBr9CyR0Nf\nSAbScOQ27DkNlZa81IrANBzaEoskE5JzNDQ77G5HXbbEhaEyEWs9xQYVwVaRFB4KBxlJenqMZ8b4\nZUPvWcGk2NFPFvSnC8TO8jw3SFXRbKHOoPrAxXkZ8M6h5acOCxJZfua1dtreKh6dKhAhpC5MBRwN\nAw4fjzi0Yw4+9klzmBEyY8hzPeF5XZCUioeZz2u5JmksB2LDdVpyedDxIu54erAj7GrSc8nqIub9\nwuODQhAcGoIji6s7VNuxUYIzt2OhwXEjUBGNDMitR2EMla1IhGUjBWtHcqo8nosQv+wQi5p2UaGX\nW0yWs/EdLqTCG+0zGBmOlcc71AxExbteyVMqNrbFmJZ4UjCyWyJnxzrNKYG7wAMB5z+CscePLLEm\nhODrX/86X//61//eB0dugRGCVio6R1C2He2qZe1APfBo/JCV73OhPHpSkleacSdxXQen58KhB/c6\nAl0T5R1+r6LrKXLZsZGKm1ZQZy71YsDUWo6UxUlb1sOSLuiwrcHbFkS5i7p28GqDK0A7ijZ3aUJJ\nl0vqTJF7LVmYsUkqUC1d3aFrQVwLdGeBFmSNUwlkJXCswCGgXXYUyw48hReEqDqgbiOqNqJCs/Mb\nip2kO20RLyv8y5RkkdAVHvB3ZZU+LduwNLSFpdxK9NJjuHD53MxlcwibYUN1p2H5wKeeufQR9GfQ\nX9yab2As+swynLdE1RbVlXTujswPCduU+CJlWPkcOz6Rk/CBG3HtBfgGgtzeeg9aYKPx5xXedUnf\nFgws9AtLr4HG7Wgqiagd5nZH5mXspGJnBhRVBnqBsytoVgorPfwl+AvwjECNwBbQ1lAZiwk6xJ7B\n7LVIUdLWkl2pmNk+F55lh8cjXaFNgxUdvPzxuQJ4QtICZSsoS4sVhi5u2MiKnS2pTYYqN8TrJU67\nwFnNKDYzXu7mGJERNALphVxbywsh2Xd89n0fOSxZnczQJ0suVM2i1bR7IW3VY3Zwwc30gqPRloOk\nRCUZrb8mF1tM0OIHHcJsKOyS3CbUbowOXEy/gLQk2CkGO4dN3aBnLa3VOBIiI3mQRdyfjbn0Ul5E\nMe3KUj0pcZeg/IDKkbQLie4sQvh4IqQvw1vJQ71jVU5ZrUMKX32mmPUiUI7AcwWukvSVYKqgbx2U\niDA6R+8K9GyGJkHbmE57aJvSVS6eEIS+RgmBbiuqDHZlS9MssM0lwrSIdYbZtZzVgkxZxtbytrEo\nYYiw9GRHomoip8aToKSl12YcGx8hWxaBpHY1gc0QWY4obzUuK+uxpI/xQ4a1xmktnrWEssGzA4Qd\nENWCO7uSsNkiTzzkVCK6ilJXdMKhdCTtTiMWHd6ioe91HHsdJrmVWPssa62YADUIB/AFofQYhj77\newec3D3mpJxydDMmXKRkbp/cGzGPKs7ChtSTxJ7LwKlYSp++MJz2FU/vhrzqtWwOWuqty/k8oWwk\nH7chH3YBaVmRbEsCJF5rqdA0XoujDKKq0F5JphyM8BFIfDSalrVjWPmSxgnwpMTpBF1hqLKGolTk\npaVbVci2Q5gR1g0QNiZwfXxu/UkXjSBwPR75LmFPMjYGhcC6CbKNwJR0tsKaT99I+CNLrAFY+//9\nB0m0AiQaDy1dzjYVZ09rnrsZ3RtbeoM5w01FuRTobc0yXyMXEdFViF66bEcueeARLSRRbYlmDtGH\nCl1JBu87PP7I4fLS4fLCwerb/rZqUpHHUEQloatJg4JzR7GRisgaDmmJjSXrJHkrkNoirKHUHV3b\n4JUtk5XhSEKJpLSKTjoYpcAoZC4RlSTzEnLfQzcVbZnjrTTpQjFyHDrtcqE9indgqyyZF2PDhv54\nzd7FgKPcpdfeLip/W1bp07KtbzrataF75aKfJETRhCi7Q/PFNZdfvKDol/S+KLGppH0hyJ6DV8Eb\nayhKQ3vWYBea51Jy5kim04Lp1EXnDos/m5KZKZvoPkFyj9nogHZ4QORVxF5NKzpeGE1bttQ7fVvn\nc0tCVaClz7IM6WoHvdDIErK45TJu2BzczgNLg7tU2FVEfuNiVjGj9Q5vvWOuNO+5lq4EHcB4akmE\nIVlaBp8XqM8bFjeCF+93vMrXXI6fUiSS7x9GOI8j9KaBlz8+V4DtTNAa2Naw09BsFW3mUZiGPJsh\nrq+Iz1ak5zn6eoOZL6jtirW/pRaaxS7FEy55bTiQMPQCeqFmK0v+pt7i14ZFXFPGLcW9NcX0nNXB\nOauDM4I4Y+XVRF6O422YsOEdco5twVg4HOBzl4CHOmTUBKwzj0J7dBcR3WVItc3J/B3rKKPb6wh9\nxU+9NHxlCU3rsclSnm0Uf/M85tnCoVhtqL+1ItlZDnYWk6fMGXKUTPj8SHMwXPKnScmfJVD2+Ewx\n6yQdQlhaZdFa87AKSe0eeSUosw59oZi8cBl+7DJEMgHyPCDPU+K2pZt7XC4artc+toRXXsMrVyN3\nliCPkbqPqRPaNiATlixo+Ki1vNcqCqtwhCGxmkrUzFSBIxvuyJKJNRxrTS8IcCYSJzSIdQ2rmg86\nj3PrMbeSpXbRDVRlS1F17NkSj4bWBFTWIzUuXzJQVC3vvYz5SCWM+4aTfsXCCi6tQ9XUTOMN/RPJ\ndv8B7099vB9sOX+Wtfb5z0FWw3YJYimQ3QinPaDbPmC7fo3ybEKUBIwnEXLcZ7XXR8qOfTrEHcnq\nrssHhwWLxOV70uV8ojjzFMqTxLGkpxy6qc9S+2xUSKYCbHOOac+QZUtSO4TWImKHgWcYNDDMOzpX\nUyloZIcUBZ7cgevShR533ZgT0WenEtZuwtbrcSN7XJs10WbH2+uMeXvIQr/Bx3sjGLb0nIpXqw3N\nfMube4J/sifIVcVMFDS65U5lGIqad9pT7renONU/UCL8YeP3f//3+aM/+iO+/OUv83u/93ufqIr+\nX2z/JUJIhHD4xfRnCNoB35+VXN3bUqVzwtGC/rKkmcNyW5JVmmoj6K5T5DYkOwxY9UK2G4FTWKJr\nS1RL4o0iet8jeuJTb3w2aw+3FYgOWu1RTA2ybxiYjq1seCUlL5AMAWkt+8Zh3Um2jUBpjSM0pa2h\nNYSlZrSGo05Q+A6F54LvIQIPgYupHLqNi4pTOtGnrbZQGtx5R38XMsoDOqO4Moo8dMjuOOh9iUpq\n2vyv+ejiT1gVE1z7w1UiPg3bP/wf/3NMpalnFY82b/FlOSRe7rMQfYoTl+V9MI+g6wlUJXCeSdzC\n8mhlMJmhuTHMli3fi+F5Cl+N4O4Udt8bM/9mgF6M2Q1OiEcPqE720Uf7KH9H4G8pVM41JZUV9FpJ\nD0msWiI/p7KwLSO6RsGloC0EmyO46lvWI8MmgiiAUefiLCKamaR6oUm2DWKzYKM6Os/i+eD4sD+B\nfmnp5ZZ4H8zPwvoVvNrC8+WGzdErqtmcbz5t+VCnfHvzw528Pw1XgO/+yb/AaKhrcJJfoJNfYSsV\nLS26WhHNFrhXOelNDasMsjXX4ZZNkjFz4azukeg+x1pzz9P4viAINRtZ8W6dIRqokhqb1GR7a3bB\nBU3/jLZ/SuFmbGmxokKoDT027NktHlsOuH1BGwmHGB90TFmPMN0Ie9PHvhigZUGVZuwGBdVI0CjB\nQBg+vzOEWxd9k/D+1ofLlm4umH/YZ10l9FLLsGep9Zg9jkmiKV+dOGydb7GZ/Rl2ccjzG/mZ2P43\n/8u/xFqwGL7w+hf5xbc+x0+0CU93Bd9dSeoLmJw6JC89+ij2BMxbj3nbQ2tDu3KZbyvy0pDVhjNa\nzoUmKC39OkKZlFaE1I5LHlTkYcWzwvCBdgiMg0dLX1pKpdk4DY7QTGnZl4p9ITlISw6ngjiGZdux\nWHQ8sbDFYWUlW+PQtVBXhirXhKJhIhpgj9YoIjweiQbbKS4vHarSwb8nmDqGQsKuc8mF4CDOuVk2\nfOt738Z9siWwvR/K9dOy/cv/AToNRQn2C2D//T1s73WaD94k++s3qbcjon3L2BGok5DsJMJpbg+d\nVMeS4tBht5dxFQqklFyNAq5HAXcJeZOIATFimlC6CWXiUSU+4jSC04aw2UFtiaUh9hSiZwl3LmEg\nWXq3/oyNEFgaBBWd61CFDsduyolIuLAt79oepRmw1APm7ZaoWPJGueR79h5PxZvM5YQ86Oj5JeV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H9t+Me5ZrAHi7uK837AppaUteDw9YCDtwLsxY7i4znrpaF2DA6W5TLiL5Z7JH5C2osJjI+X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