From 50e528eb2fedabd4eb1adaa3b6ea511a3b93fc48 Mon Sep 17 00:00:00 2001 From: Uwe Schmitt <uwe.schmitt@id.ethz.ch> Date: Tue, 16 Apr 2019 16:32:29 +0200 Subject: [PATCH] small fixes after review --- 05_classifiers_overview.ipynb | 378 +++++++++++++++++++--------------- 1 file changed, 211 insertions(+), 167 deletions(-) diff --git a/05_classifiers_overview.ipynb b/05_classifiers_overview.ipynb index 6ad0cfa..d589fa6 100644 --- a/05_classifiers_overview.ipynb +++ b/05_classifiers_overview.ipynb @@ -18,12 +18,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "For the sake of visualisation we continue with 2 dimensional data examples. For different classifiers we'll be looking at their decision surfaces. Let's start with a helper functions for that:" + "For the sake of visualisation we continue with 2 dimensional data examples. For different classifiers we'll be looking at their decision surfaces. Let's start with some helper functions for that:" ] }, { "cell_type": "code", - "execution_count": 125, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -85,7 +85,7 @@ }, { "cell_type": "code", - "execution_count": 126, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -108,7 +108,7 @@ }, { "cell_type": "code", - "execution_count": 127, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -160,7 +160,7 @@ "1 0.436266 -1.768324 False" ] }, - "execution_count": 127, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -174,7 +174,7 @@ }, { "cell_type": "code", - "execution_count": 128, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -204,7 +204,7 @@ }, { "cell_type": "code", - "execution_count": 129, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -235,11 +235,14 @@ "from sklearn.neighbors import KNeighborsClassifier\n", "from sklearn.model_selection import train_test_split\n", "\n", + "# TODO Uwe: introduce test_train_split in cross val chapter !\n", + "\n", "X_train, X_test, y_train, y_test = train_test_split(features_2d, labelv, random_state=0)\n", "\n", "classifier = KNeighborsClassifier(n_neighbors=5)\n", "classifier.fit(X_train, y_train)\n", - "print('score: {:.2f}%'.format(100*classifier.score(X_test, y_test)))\n", + "\n", + "print('score: {:.2f}%'.format(100 * classifier.score(X_test, y_test)))\n", "\n", "plt.figure(figsize=(5, 5))\n", "plot_decision_surface(\n", @@ -252,12 +255,14 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "About the plot: the points surrounded by a circle are from the evaluation data set, all other points belong to the training data.\n", + "\n", "We can query directly for the closest neighbors of a point. Let's check neighborhood of the origin:" ] }, { "cell_type": "code", - "execution_count": 130, + "execution_count": 23, "metadata": {}, "outputs": [ { @@ -284,43 +289,43 @@ " <th>x</th>\n", " <th>y</th>\n", " <th>label</th>\n", - " <th>distance</th>\n", + " <th>dist</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", - " <th>0</th>\n", + " <th>496</th>\n", " <td>0.028310</td>\n", " <td>0.042214</td>\n", - " <td>0.0</td>\n", + " <td>False</td>\n", " <td>0.050828</td>\n", " </tr>\n", " <tr>\n", - " <th>1</th>\n", + " <th>51</th>\n", " <td>-0.219754</td>\n", " <td>-0.073249</td>\n", - " <td>0.0</td>\n", + " <td>False</td>\n", " <td>0.231641</td>\n", " </tr>\n", " <tr>\n", - " <th>2</th>\n", + " <th>98</th>\n", " <td>-0.226749</td>\n", " <td>-0.131647</td>\n", - " <td>1.0</td>\n", + " <td>True</td>\n", " <td>0.262195</td>\n", " </tr>\n", " <tr>\n", - " <th>3</th>\n", + " <th>230</th>\n", " <td>0.101973</td>\n", " <td>0.289027</td>\n", - " <td>0.0</td>\n", + " <td>False</td>\n", " <td>0.306488</td>\n", " </tr>\n", " <tr>\n", - " <th>4</th>\n", + " <th>194</th>\n", " <td>0.186789</td>\n", " <td>-0.246576</td>\n", - " <td>0.0</td>\n", + " <td>False</td>\n", " <td>0.309338</td>\n", " </tr>\n", " </tbody>\n", @@ -328,40 +333,32 @@ "</div>" ], "text/plain": [ - " x y label distance\n", - "0 0.028310 0.042214 0.0 0.050828\n", - "1 -0.219754 -0.073249 0.0 0.231641\n", - "2 -0.226749 -0.131647 1.0 0.262195\n", - "3 0.101973 0.289027 0.0 0.306488\n", - "4 0.186789 -0.246576 0.0 0.309338" + " x y label dist\n", + "496 0.028310 0.042214 False 0.050828\n", + "51 -0.219754 -0.073249 False 0.231641\n", + "98 -0.226749 -0.131647 True 0.262195\n", + "230 0.101973 0.289027 False 0.306488\n", + "194 0.186789 -0.246576 False 0.309338" ] }, - "execution_count": 130, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ + "# distances and row indices of neighbours around (0, 0):\n", "dist_nn, ind_nn = classifier.kneighbors([[0, 0]])\n", "\n", "# tech: simplify dimensions\n", "ind_nn = ind_nn.squeeze()\n", "dist_nn = dist_nn.squeeze()\n", "\n", - "# neighbors come from the training data\n", - "xy_train = np.array(X_train)\n", - "xy_nn = xy_train[ind_nn].squeeze()\n", - "\n", - "z = np.array(y_train)\n", - "z_nn = z[ind_nn]\n", - "\n", - "# wrap in data frame for a pretty print\n", - "origin_nn = pd.DataFrame(\n", - " np.c_[xy_nn[:,0], xy_nn[:,1], z_nn, dist_nn],\n", - " columns=[\"x\", \"y\", \"label\", \"distance\"],\n", - ")\n", - "\n", - "origin_nn" + "# build data frame with neighbours\n", + "df = X_train.iloc[ind_nn, :].copy()\n", + "df[\"label\"] = y_train.iloc[ind_nn]\n", + "df[\"dist\"] = dist_nn\n", + "df " ] }, { @@ -373,7 +370,7 @@ "<ul>\n", " <li><strong>When</strong>: with numeric data, when very fast linear classifiers do not work.</li>\n", " <li><strong>Advantages</strong>: good baseline classfier as it is simple (not many parameters).</li>\n", - " <li><strong>Disadvanages</strong>: querying method may become slow for many dimensions (features; >20-ish).</li>\n", + " <li><strong>Disadvantages</strong>: might not work well for many dimensions (features; 20 or even less).</li>\n", "</ul>\n", "</div>\n" ] @@ -382,16 +379,44 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Excercise section\n", + "### Exercise section\n", "\n", "Experiment with the few classifier parameters. Start with number of neighbors (`n_neighbors`) but try also Manhatan distance norm `p = 1` (`2` is Euclidian distance).\n", "\n", + "#### Optional exercise\n", + "\n", + "\n", + "Instead of choosing a number of neighbors you can also specify a radius within which samples make decision, or center of a closest class. Compare decision surface for these methods, as represented by [`RadiusNeighborsClassifier`](https://scikit-learn.org/stable/modules/generated/sklearn.neighbors.RadiusNeighborsClassifier.html#sklearn.neighbors.RadiusNeighborsClassifier) and [`NearestCentroid`](https://scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestCentroid.html#sklearn.neighbors.NearestCentroid) classifiers in the scikit-learn library.\n", + "\n", "<div class=\"alert alert-block alert-info\">\n", "<i class=\"fa fa-info-circle\"></i>\n", - "Choice of an specific querying algorithm (`algorithm`) becomes important with larger datasets. It depends on many factors; see: <a href=\"https://scikit-learn.org/stable/modules/neighbors.html#choice-of-nearest-neighbors-algorithm\"><em>Choice of Nearest Neighbors Algorithm</em>.</a>.\n", + " Choice of an specific querying algorithm (<code>algorithm</code> parameter) becomes important with larger datasets. It depends on many factors; see: <a href=\"https://scikit-learn.org/stable/modules/neighbors.html#choice-of-nearest-neighbors-algorithm\"><em>Choice of Nearest Neighbors Algorithm</em>.</a>.\n", "</div>\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## A few words about the role of optimization in ML\n", + "\n", + "Many machine learning algorithms adapt internal weights (or similar parameters) such that the predicted labels match the given labels as good as possible.\n", + "\n", + "Mathematically this is formulated as an optimzation problem which *minimizes* a so called *loss function* $L$. \n", + "\n", + "The loss function then consists of an term measuring *classification error* and an additional *regularization penalty*:\n", + "\n", + "$$\\text{Loss} = \\text{classification_error} + \\lambda \\cdot \\text{regularization_penalty}$$\n", "\n", - "(*) Instead of choosing a number of neighbors you can also specify a radius within which samples make decision, or center of a closest class. Compare decision surface for these methods, as represented by [`RadiusNeighborsClassifier`](https://scikit-learn.org/stable/modules/generated/sklearn.neighbors.RadiusNeighborsClassifier.html#sklearn.neighbors.RadiusNeighborsClassifier) and [`NearestCentroid`](https://scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestCentroid.html#sklearn.neighbors.NearestCentroid) classifiers in the scikit-learn library." + "As the optimization only considers training data, minimizing the classification error can introduce overfitting.\n", + "We've seen this before in the overfitting chapter. \n", + "\n", + "To compensate that we add the regularization term which penalizes more complex models.\n", + "\n", + "The regularization weight $\\lambda$ allows to balance out both terms and must be chosen depending on the actual algorithm and the data.\n", + "\n", + "This is a mathematical concept which relates to [Occam's razor](https://en.wikipedia.org/wiki/Occam%27s_razor) which states *\"simpler solutions are more likely to be correct than complex ones.\"*" ] }, { @@ -404,14 +429,18 @@ "\n", "The method uses linear regression to learn weights $w_1,\\cdots,w_n$ for sum of features and the threshold $b$, i.e. to learn a spearation hyper-plane; threshold is the plane's **intercept**. Then, to classify, transform the weighting result to a probability of belonging to one of the two classes using the logistic function:\n", "\n", - "$\\qquad p\\left(x_1,\\cdots,x_n\\right)=\\left.1\\middle/\\left(1+\\exp{\\left(b - \\sum_{i=1}^{n} w_i x_i\\right)}\\right)\\right.$,\n", + "\n", + "\n", + "$$\n", + "p\\left(x_1,\\cdots,x_n\\right)=\\frac{1}{1+\\exp\\left(b - \\sum_{i=1}^{n} w_i x_i\\right)}.\n", + "$$\n", "\n", "which looks like that:" ] }, { "cell_type": "code", - "execution_count": 131, + "execution_count": 26, "metadata": {}, "outputs": [ { @@ -434,18 +463,17 @@ "source": [ "t = np.linspace(-10, 10, 100)\n", "# logistic function\n", - "plt.plot(t, 1 / (1+np.exp(-t)))\n", + "plt.plot(t, 1 / (1 + np.exp(-t)))\n", "# classification threshold\n", "plt.axvline(x=0, linestyle='--')\n", "\n", "plt.ylabel(\"probability that sample class is 0\")\n", - "plt.xlabel(\"weighted sum of sample features minus threshold\")\n", - "pass" + "plt.xlabel(\"weighted sum of sample features minus threshold\");" ] }, { "cell_type": "code", - "execution_count": 132, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -497,7 +525,7 @@ "1 -3.816946 -0.906188 0" ] }, - "execution_count": 132, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -511,7 +539,7 @@ }, { "cell_type": "code", - "execution_count": 133, + "execution_count": 28, "metadata": { "scrolled": true }, @@ -543,7 +571,7 @@ }, { "cell_type": "code", - "execution_count": 134, + "execution_count": 55, "metadata": {}, "outputs": [ { @@ -557,7 +585,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/mikolajr/Workspace/courses/machinelearning-introduction-workshop/.venv/lib/python3.7/site-packages/sklearn/linear_model/logistic.py:433: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n", + "/Users/uweschmitt/Projects/machinelearning-introduction-workshop/venv37/lib/python3.7/site-packages/sklearn/linear_model/logistic.py:433: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n", " FutureWarning)\n" ] } @@ -575,27 +603,37 @@ }, { "cell_type": "code", - "execution_count": 135, + "execution_count": 56, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "feature weights: [[1.0954062 1.57492098]]\n" + "feature weights: [[1.0954062 1.57492098]]\n", + "score: 96.00%\n", + "feature weights: [[2.41793662 7.8702219 ]]\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/uweschmitt/Projects/machinelearning-introduction-workshop/venv37/lib/python3.7/site-packages/sklearn/linear_model/logistic.py:433: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n", + " FutureWarning)\n" ] }, { "data": { - "image/png": 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\n", 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"text/plain": [ - "<Figure size 360x360 with 1 Axes>" + "<Figure size 792x360 with 2 Axes>" ] }, "metadata": { "image/png": { "height": 304, - "width": 316 + "width": 651 }, "needs_background": "light" }, @@ -603,7 +641,10 @@ } ], "source": [ - "plt.figure(figsize=(5, 5))\n", + "plt.figure(figsize=(11, 5))\n", + "\n", + "plt.subplot(1, 2, 1)\n", + "\n", "plot_decision_surface(\n", " features_2d, labelv, classifier,\n", " test_features_2d=X_test, test_labels=y_test,\n", @@ -622,92 +663,21 @@ " # separation line: w[0] * x + w[1] * y - b == 0\n", " feat_x = features_2d.iloc[:, 0]\n", " x = np.linspace(np.min(feat_x), np.max(feat_x), 2)\n", - " y = (b - w[0]*x)/w[1]\n", + " y = (b - w[0] * x) / w[1]\n", " plt.plot(x, y, color='k', linestyle=':');\n", "\n", - "plot_separation_line(features_2d, classifier)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The learning process is an **optmization problem**, here, minimization. The minimization objective is called a **loss function**.\n", - "\n", - "<div class=\"alert alert-block alert-info\"><p><i class=\"fa fa-info-circle\"></i> \n", - "In logistic regression the loss function is a <em>negative-log likelihood</em>, i.e. negative logarithm of the logistic probability above:<p/>\n", - " \n", - "<p>\n", - "$\\qquad -\\log(p(x^k; p^k)) = \\log{\\left(1+\\exp{\\left(y^k\\left(b - \\sum_{i=1}^{n} w_i x_i^k\\right)\\right)}\\right)}$,\n", - "<p/>\n", - "\n", - "<p>\n", - "where $y^k$ is -1 or 1, representing class of $k$-th sample from the training data, corresponding, respectively, to class below and above the threshold (separation line).\n", + "plot_separation_line(features_2d, classifier)\n", "\n", - "The $+/-$ sign for the class allows to penalize missclassifications. If sample is below the threshold $\\sum_{i=1}^{n} w_i x_i^k < b$ and have correct class $y^k = -1$, then we have $\\exp{\\left(\\text{negative value}\\right)}$ giving small loss. In case of misclassification $\\exp{\\left(\\text{positive value}\\right)}$ gives much bigger loss.\n", - "</p></div>\n", - "\n", - "Any solution weights and threshold can be scaled to give the same result, making the problem *ill-posed*. For uniquness of the solution, or a so called **reqularization**, norm of the weights (roughly, their sum) is added to the loss function in form of a penalty, giving loss function:\n", "\n", - "$\\qquad penalty + C * logistic\\_loss$.\n", - "\n", - "In `LogisticRegression` class, `penalty` parameter allows to specify type of norm to use, and `C` is a scaling rate of the (mis)classification loss (smaller value implies more reqularization and vice-versa).\n", + "# todo: add C value to plot titles\n", + "plt.subplot(1, 2, 2)\n", "\n", - "<div class=\"alert alert-block alert-info\"><p><i class=\"fa fa-info-circle\"></i> Using L1 norm (Manhatan distance from origin) is know for finding sparse solutions, i.e. eliminating features (weight equal to 0) when they are anyway insignificant. With the default L2 norm (Euclidian distance from origin) weights of such insignificant features would have small values instead.</p></div>\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Let's try to be more strict on penalizng missclassifications:" - ] - }, - { - "cell_type": "code", - "execution_count": 136, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/mikolajr/Workspace/courses/machinelearning-introduction-workshop/.venv/lib/python3.7/site-packages/sklearn/linear_model/logistic.py:433: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n", - " FutureWarning)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "score: 96.00%\n", - "feature weights: [[2.41793662 7.8702219 ]]\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "<Figure size 360x360 with 1 Axes>" - ] - }, - "metadata": { - "image/png": { - "height": 304, - "width": 316 - }, - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ "classifier = LogisticRegression(C=100, random_state=0)\n", "classifier.fit(X_train, y_train)\n", "print('score: {:.2f}%'.format(100*classifier.score(X_test, y_test)))\n", "print(\"feature weights:\", classifier.coef_)\n", "\n", - "plt.figure(figsize=(5, 5))\n", + "# plt.figure(figsize=(5, 5))\n", "plot_decision_surface(\n", " features_2d, labelv, classifier,\n", " test_features_2d=X_test, test_labels=y_test,\n", @@ -838,6 +808,36 @@ " print()\n" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "TODO: reformat this all in blue, make it confirm to \"theory\" above by specifying missclassification and regularizatio term.\n", + "\n", + "The learning process is an **optmization problem**, here, minimization. The minimization objective is called a **loss function**.\n", + "\n", + "<div class=\"alert alert-block alert-info\"><p><i class=\"fa fa-info-circle\"></i> \n", + "In logistic regression the loss function is a <em>negative-log likelihood</em>, i.e. negative logarithm of the logistic probability above:<p/>\n", + " \n", + "<p>\n", + "$\\qquad -\\log(p(x^k; p^k)) = \\log{\\left(1+\\exp{\\left(y^k\\left(b - \\sum_{i=1}^{n} w_i x_i^k\\right)\\right)}\\right)}$,\n", + "<p/>\n", + "\n", + "<p>\n", + "where $y^k$ is -1 or 1, representing class of $k$-th sample from the training data, corresponding, respectively, to class below and above the threshold (separation line).\n", + "\n", + "The $+/-$ sign for the class allows to penalize missclassifications. If sample is below the threshold $\\sum_{i=1}^{n} w_i x_i^k < b$ and have correct class $y^k = -1$, then we have $\\exp{\\left(\\text{negative value}\\right)}$ giving small loss. In case of misclassification $\\exp{\\left(\\text{positive value}\\right)}$ gives much bigger loss.\n", + "</p></div>\n", + "\n", + "Any solution weights and threshold can be scaled to give the same result, as such the solution is not unique. For uniquness of the solution, or a so called **reqularization**, norm of the weights (roughly, their sum) is added to the loss function in form of a penalty, giving loss function:\n", + "\n", + "$$\\text{penalty} + C \\cdot \\text{logistic_loss}$$\n", + "\n", + "In `LogisticRegression` class, `penalty` parameter allows to specify type of norm to use, and `C` is a scaling rate of the (mis)classification loss (smaller value implies more reqularization and vice-versa).\n", + "\n", + "<div class=\"alert alert-block alert-info\"><p><i class=\"fa fa-info-circle\"></i> Using L1 norm (Manhatan distance from origin) is know for finding sparse solutions, i.e. eliminating features (weight equal to 0) when they are anyway insignificant. With the default L2 norm (Euclidian distance from origin) weights of such insignificant features would have small values instead.</p></div>\n" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -858,7 +858,8 @@ " <tr><td><center><sub>Source: <a href=\"https://en.wikipedia.org/wiki/Support-vector_machine\">https://en.wikipedia.org/wiki/Support-vector_machine</a></sub></center></td></tr>\n", "</table>\n", "\n", - "These margin lines are called the **support vectors** (and the threshold is an intercept). Threshold is such that when points lie within the support vectors margin, then the weighted sum of features minus the threshold is within -1 and 1." + "The points on the margin lines are called the **support vectors** (and the threshold is an intercept). \n", + "\n" ] }, { @@ -929,7 +930,7 @@ }, { "cell_type": "code", - "execution_count": 164, + "execution_count": 57, "metadata": { "scrolled": true }, @@ -956,12 +957,12 @@ "labelv = df[\"label\"]\n", "\n", "plt.figure(figsize=(5, 5))\n", - "plt.scatter(features_2d.iloc[:,0], features_2d.iloc[:,1], color=samples_color(labelv));" + "plt.scatter(features_2d.iloc[:, 0], features_2d.iloc[:, 1], color=samples_color(labelv));" ] }, { "cell_type": "code", - "execution_count": 165, + "execution_count": 58, "metadata": {}, "outputs": [ { @@ -985,19 +986,19 @@ }, { "cell_type": "code", - "execution_count": 169, + "execution_count": 59, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "feature weights: [[0.94870945 5.07113118]]\n" + "feature weights: [[0.37982746 0.71174282]]\n" ] }, { "data": { - "image/png": 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hMwazDZOzVBo8MSr505FFMnihj0wGL/SRaa0eybRXj2RJMnghgxcDpMnLIhm80HemtXok0149kmmvHsm0V0+hZHokp2uFEEIIIQqQNHlCCCGEEAVImjwhhBBCiAIk1+RlkQxe6COTwQt9ZFqrRzLt1SNZkgxeyODFAGnyskgGL/Sdaa0eybRXj2Taq0cy7dVTKJkeSZMnhBBC5JmqqqjRMGoihppI5LscUSCkyRNCCCHyJOpupW/fy/QdeINE2N+fKtjqZ1Oy6A6Kpl2beoRZrsQDHmJ+NyQSGGxFqKqa0/cXmSNNnhBCCJFjMX8vHc/9B4HjO1OZYrKgGE0kwgFCZ/YTOrOfLmcZVWs+jamkOqv1qIk4/mNbcW95gnDr0UHLTK5qSq95N8Vzb8VoK8pqHSKzpMnLIhm80Ecmgxf6yLRWj2Taq0cvWczfS+eL3yfe1wVGE86GZRTNuA5z2VgAfIc3A3F8hzcS622j7clv4WhYSvn1D17wPeDSBy8i3c10v/5L4r7u5AKjGVNROYrBkDyq5+2g69Wf0b3h15Quuw/n1GV5/xrmOgMZvBBDyOCFvjOt1SOZ9uqRTHv1aD2zlI+j47nvEe/rwlozhfIbP4Rz8uK0r6248cO4Nz9Oz5u/IdC0jZIFt+FsWHrB97iUeojH6Fz/A9RIEHPZWBxTl1G+4v2pI3ZqIk7v9r8QOL6T4Km9uDetw2h14mxYoqmvqwxepCf3yRNCCCFyxLvvZSKdJzGX1zH2ga9jdJQAoMZjBE7uwXfkbWL+XgAURaF8xfsov/4hUFW6Xns0o9fHxfxuWp74GmokSNGMlYx/5AcUz7px0ClZxWDEPmEedQ9+g8rVnwKg67WfEzy1L2N1iOyRI3lCCCFEDqiqimf3cwBU3PAhjPZiop52/Md30vH8fxL39SRXVAy45q2mas2nUIxmyla8D8+uZ4n2nCV4ai+OiQsyUo/v4AYSQS/2iQuoufvvUIzJliDm68F/bCtqLDLoFGXp4rtIRAL0bPgNnt0vULr0HhRFyUgtIjukyRNCCCFyINzWSLS7GWNROc6pywCI9rbR8cx3UePRcyuqCbx716NYbFTd+nEUgxHn9BV4d7+AZ/fzGWnyEtEQ/mPbAKi46a9SDV7fgdfx7HwWEvHUuvYJ8xlz///BYLJQtvQePDueJtbbSqj5APb6OVdci8geafKySAYv9JHJ4IU+Mq3Vo8Us5nMTD3ogkSDcfhw1EUcxGLP2vtnYZkFnR94GwF4/m3DnSQB6t/x5cIN3Hu+u53FOvRaDxQaG5G1UQs0HUz8/rmTwwt+4DTUSwFw5PrndtkZCzYfwbP/LsNcGT+2l4/n/pHTpPQA4piylb99L9Gx+nAqzbfR9LpAMZPBCDCGDF/rOtFaPZNqrRwuZGosSaNpB18s/IXT20KD1Ao1bcS14F655azAVlWWllkxuU1VVIt1niPd1Y64Yh6W8LuPvkc/M5KoEwFI5PrVMjUeGvW6AGo9isNiw1TaQCAfw7nyaRDQ8aLuX+5n4Dr4JQPGsm1J5z1uPjViL/9hWqm//HAazFRbdQd++l4j3dQ97H618rbOR6ZE0eUIIoVOh1mO0/vnrxPuSt75QLHYs5ePAYCDW207M20nPm7+lZ+M6Km95BNu4mXmueGSRnrO0/+U7hNubUpljyjXU3PW/8lhVZg3c1FiNnWvsDBe479y5wYzk0T6D2ZqRWhKRQHL7Nmcqi/acHXF9NRoi7u/FUFqD0ers30YwI7WI7JEmTwghdCh45gAtf/wKajSMqXQMZcvvo3jWTclTe0Cw9ShqyI9n13P4j22h65WfUDz/Nmy3fzbPlQ+XiIRoWfdlYn1dg/JA03banvoWFTd/NE+VZZapuAKAwKl9VPRnzqnLCJ3Zn3Z9+8QFmF1VAIRbjyW3UVKTkVoM/adZz2/UTCU1RN0taddXTJZUwznwmoE/a0K75BYqQgihM1FPB61/+jpqNEzx7JupufvvKFnwrkE/dBXFgGPSQsbc94/U3PV3oBjo27uevgNv5K/wEfgOvTmswRsQPLVvxOtm9cY2fi4Gq5Nwy5HUdXW2+jmULLpr2LomVzXV7/ofqd/7jmwCwDVvdUZqMVfWA+BvOnf9WcnC20dcv3jOLak/X/6m7cltlI/LSC0ie+RIXhbJ4IU+Mhm80EemtXrymUXdzSRCfVjHzsC1+C4Cx3ejGE3EfD0ET+1FjUVJxGKULLodRVEwV9ZTuvQeerf+ie43foWpfCyKYrjiWjK1f/4Tu9Nue4Dv8EYs/U1JJt8311nw5D4cU5bgO7iB7td/QflNHyHQtJPieauw1EwicHwXiWgIFANly+8jHvIRb2sk1HqMSMcJFLMNc0V9RgYvzOV1YDQROrOfvkNvYS4bg9FVhW3cHELNg48smkpqKJp9E6G2RtREHM/OZwCwT5g36GeZlr7WMniRJE1eFsnghb4zrdUjmfbqyUeWiEXwbH8SgKo1n8JW24BiMBI4sYueN38L590sN97XyZh7v4TBYsdaPYm+/a8R6+tCDfmwT1qUkfoysX/Wynr8abecZK+frZmv/5VmRuuN+I9tIXhqH/5Db+KcuRJbbQO22gZK5t8GDP4ZEWprpGfDrwEovebdOOpnX/A9LrYe59Tl+A9vxHdwA7X3fglFMVC56mMYzDZ8R95GjYWxj5+LYnViHzMVAM+u54j7ezG5qihZeHvqHwuZ+NpoPdMjzZ6uVRTlg4qiqP3/fSzf9QghhBYET+4hEfZjHTMt9YMo2HyQng2/GdTgJdfdTddrjwKk7rUG4NnzYm6LvoDi2TfDCDfVNThKsNVpd2DkUpnLxlD77n8AxUDvtifpevmnBE7sRlUTg9aLebvofvO/OfvYP5AI+bDVz6H8+g9ktJbiWTehWOz4j22hc/0PUfvvjWepGEf5ivdRccPDOCYuSN3wuO/gBjpf/knytfNvG9bgCe3R5JE8RVHqge8DPmD00SMhhLiKxDztAIOeYeo/vHHE9fv2v0blLY9gsNix18/Gu+s5zV3jZi4bQ9XqT9P50o+Ac42qYrJSu/YLKCZz/orLAmfDNYy5///Q9tS3CbccpuUP/4S5bCzWMVNRjGYi3WeSgxb9jV/x7JtxLbpz0D0PM8HkqmTMvV+m5fGv4t3zIuG2JhxTl2KpHI/BZAGSt7UJtzXSu+UJfP1/zspWvB/nlCUZrUVkh+aaPCX5T4ZfAt3An4HP57ciIYTQjkQ0DIDBeu7WF7GBx2GlocYixPxuLBY7Sv9EparBW1+ULLoD27iZuDc/jpqIYamox7XgXZhdVaNe36xXzsmLmfDJn9KzcR2Bxm1E3S2DJ1sNRopmrKRk4Z3Y6mcPurVMJjkmLqDuga/T9uS3CLcdI9x2DM/2p7FU1qMYjES9ncR625IrKwYqbv4Ipde8J2v1iMzSXJMHfA64Bbip/1fdksELfWQyeKGPTGv15CuL+9wARLpPp76PKMrIR3gUo5mYz00iHMDftDMZGoyjXryfz8/EXDEeZ0PyKFE84CEe8Gjq65/pzOgsp+aeLxJubyIe8EA8RqSnFde8W1O3LAm3N13SZ3IxgxfnZ4rZRs09XyJ4YhfevS8R97sJNR9MraeYbRTNuhHntGsxOUsvqZ5CyUAGL66YoigzgW8D/6mq6puKoui6yZPBC31nWqtHMu3Vk4/MPmkhoeYDhNsasd321wCULL6Lrld+Muy1AMXzVqUu1vfufQkAa+2UQduVzyT/mX3s9NTvr/RnxOXW46ifjWPqcoxWB3GfGzURw2grJpGIDarvSt5Dz5keaabJUxTFBPwWOA186TK3sXOERTMuty4hhNASx4R5eLYXEW49Rqj1KLYx07CNm0nFTX9F94bfpK7jAnBMXkzlzY8AoCbiqWenliwY+X5o4uqmKErycXLnPVKuEE+XXy000+QBXwEWAterqqq9C0aEEEIDFJMF17zV9G57ku4Nv2Xs+74KQNny91I060b8RzeTiIYwOstwzV2Vmoz07HqOeKAXc9lY7BPn53EPhBC5ookmT1GUZSSP3n1XVdXNl7sdVVUXj7D9ncCidMuEEEJPEtEwxXNvxfvOqwRP7qb92X+nZPHdAJhdVZQuWQskj74MNHjed16l69WfA1C+8iG59YUQV4m8N3n9p2l/AxwF/inP5WSUDF7oI5PBC31kWqsn11mkuxnPjqcJtx4FwOiqhkgA38ENBE7swTV/NY4pS1LPJPUd206w+SD+w5sINR8AwDZ+Pubyuow9pSCT+ydZZjK49MELyS6cgQxeXK4iYFr//4eU9DfE/JmiKD8jOZDxtzmr7ArJ4IW+M63VI5n26slVFuk6Q+f6Hwy69Unc2wEoGB0lxAMeerc8gWfXc5hLx6AYjUR720kEvcmVjSaqbv041rHT8/6ZqKpKzNNOPODBXFqN0VaEqaSG87/3a+3rr7dMa/UUSqZHWmjywsCjIyxbRPI6vY3AEeCyT+UKIYReuTf/cYR726kYS2oouebdBI7vInRmP5GO46mlJlc1JYvuwDVvNUZHSV4voE9EQ3h2P49n1/NEOk8OWmapmkjJojspnn1TXmoTolDlvcnrH7L4WLpliqJ8lWST92tVVX+ey7qEEEIrAqf2jrgs0noU2y2PUH7t+4j1dRHz90I8RtTXQ9HUZRl/SsLl8Dduo+3pf001qgZbMebSGhLRMHG/m0jnSTrX/4DuN35F2cqHCuYoihD5lvcmTwghxOgU4yiP9VIMqUEKU3ElpuLKZN7WqIkGr+/gBtqf+S6oCWx1MylZfBdF01agmMyE2hqxVk7Ad/RtPDufIXT2MN2v/hyTs5TimTfku3QhdE+avCySwQt9ZDJ4oY9Ma/XkMrPVzcDX/8zaoWx1Mwic3Dvs+a5a+EzCnSfpfOG/kg1e/RwqbnkERVEId50atJ65vI6KVZ/Eu/t5+va9TPsz30WNRbFUTcjZvhRKBjJ4kY0MZPAi41RV/Srw1TyXcdlk8ELfmdbqkUx79eQqq7z144Rajpx7hmg/g9VJ1W1/jRqPavIz6XnrMUjEcS28g+J5q7GPmQpApOs0/qYdJEJeDCYLlsrx/a/5HImwH/+Rt/Ed2cTYubfmdF8KJdNaPYWS6ZGmmzwhhBBgcpYy7uF/o3frn+g79BaKouCYuJCya+/HXDZGk08kiPa2EWjagWI0U7HyIaLeTlQ1Qef6H+Ld82JqPc+Op3EtvJ2qNZ9GUQy4FtyOv3EbgcbtRHvbMZfW5HEvhNA3afKEEEIHTM5SKm95hKJZN+riKIN338uAStGM6zE6Soh6O/HseGZQg5dad/cLWCrqKV2yFqO9mKIZ1+M78AbefS9RccPDuS9eiAIhtz0XQgiRcZHO5HV3zqnLUpln17Mjru/Z9Vzq/50NyddEuk5nqTohrg5yJC+LZPBCH5kMXmgvk89EO1msr5toz1kiXc2oi9417JFoI13kH/P1JF8f8BBqa8TfuIPokGsKzxd1t6bWM9qdqfceyLK1f4WWgQxeZCMDGbwQQ8jghb4zrdUjmfbqKeTMUjGOjhf+C9/BNwEVgFDzO9Tc/XlsY6df8PWR9kbCgMlRklru2/8q0d7WYesCmEtrUusNDJiYiitSmZa+NlrPtFZPoWR6JKdrhRBCDNP54g/wHdzAQIMHyaNtLX/4p9RRutFYKusB8DduT2WuRXeMuH7JwjtT/+8/tjW5jYr6Sy1bCHEeafKEEEIMEvO76Tv4RtpliXAA7571F9yGa94aQMF36E3i/c/QLV2yluJ5q9OuW7LkbgDiIR99h98CFFzz11zuLgghkNO1Qgghhoi6W0FVR1webm+64DbMZWNwTF5E4PhOejauo3jurSgGIzV3/A2lS9bib9pOrK+bkgXvwlo9KfU67571EI/hmHIN5tLajOyPEFcrafKybKThCxm80E420kX+cvGyfCZXaxbpTP/1T1GU1Pew0T4T54zrCZzYjWfnM4Q7T1Fx80dQFAUAx6RF+Bt3oCbihNoaUVUV754X8R9+CwxGnNNXpN5DS18bLWXy9yR3GcjghUgj3cWbMnihj0xr9UimvXoKNVMXqITPHhjxFialy+4d9JqRtmmrbcBgMNH+7L8TOr2P7tcepXTxXTjiDMpJAAAgAElEQVSnLkcxJn/8WKsm4j+2hd4dzxBqPgCKQs2df0vx7Jtzus+FlGmtnkLJ9EiaPCGEEIMoikLN3Z/n7O//kUT/9XQDyq57EHvdzIveVvGcm1Esdtqf+VdCZ/bTdmY/RkcJptJa1EiIeKCXeMCTfF+LnfLrHxrW4AkhLo80eUIIIYax1kxmwsd/hHffy4TbmlBRKVt6z7Dbp1yMomnLMdz/VSKdJ/Hsep5o95lUYwdgqRyPa+EduObcQsTdksndEOKqJk2eEEKItIyOEsqWvxcY+TKTi2Ww2CldfDcli+4i6m4hHvAS6WnGPm4W5rKxqWv1hBCZI01ell3s4EW6C2Xl4tnMX5R8sdmVvl5LXwctZfKZaC/L12eimMzEvN0kIsFB07pa+tpcbZ/JpdR4tWUggxciDRm80G+mtXok0149+cziIT/xoAdUFXv9TPlMJNPEexdypkfS5AkhhE6oiTjBU3vpfv2XBE/tHbTMVjeTkkV3UDT9ehSTOU8VCiG0RJo8IYTQgVDLEdqe+jYxbycAitGMsbgCBYVYXxehs4cInT1E16uPUnP3/8Jgd+W5Yu1QVZVw61HC7ccxOksxOkrzXZIQOSFNXpbJNXmFf12LlvZZj5l8JhfOQi1H6X71Z6jxKAZ7McVzV+Gccg0GqwMA35EtoKj4D71F1N1Cyx+/inP6dZQtv++y3reQPpO+QxvpeOG/iJx33Z9itlJx8yPYxk7Le335/Ey09DlpPQO5Jk+kIdfk6TfTWj2Saa+eXGQGs42eDb9CjUcpnrsK18LbsZ93GxN/0w6Cp3YT6+vCWFSBfdIigid24T/6NmVL3zPslidX22fS+dKPBzV4AGo0TPfrv2DCx3+MyVWpuZqvNLvQuvFgH73bn6Lv4AYUxYB94gLKlt2beoyclvZFS5keSZMnhBAa5t78RxLhAM5pK6i+43OE248DEPP10PXao/gObkitG+/rBsBcPo5oTzM9bz3G2Pd/LS91a0Gk+wzhlsNpl6nREJ6966lY+VCOq7o8iWiYUMsRDFYH5vJxl33LmXjQS/Nv/55oT3Mqi7pb8B16i3Ef/E6myhUaIU2eEEJoVDzkw3foLUCh8uaPoCgGVFWlZ9M6ejb9HhLxtK+L9jSDwUjgxC4i7hYsZWNzW3gWqapKtLeVqLcTa81kFMUAQCIcINLTgqm4ApOzDBj5dOaAaHfzqMu1QFUT9GxcR+/WP6PGwgBYa6ZQdftnL2t77i1/GtTgDUiE+uh6/ReU66TpFRdHmjwhhNCoQNN21HgUx+TFmMvGABA8sYuetx674GtNripivW1497xI5c0fzXapOeE/vpOuV3+Was56ysZQccOHCZ49hHfvi6jRMKDgaLiG6tv+etCp2HRMxRU5qPrK9Gxch3vTukFZuL2JlnVfpnrt5y95e/6jb4+4LNC0g9Jr77/kbQrtkiYvi0Yauki3TEsXmF5t2Uj/2tdSjVdbdikXlGup7kxnwZP7ALDWNqS+Z3h2PT9svbQUY3IbZw6kXqvnzyTc3kTniz8ANZHKo+5W2v7y7SFrqwQat9HceZLquz+P0VlG3O9OU7mCdez0S/7a9B14E8/OZwi3NaGYLNgnLkh9rS9330bKEtEwvdv+nKZ2SIT9uDc/kTpqeb7RPpNEOJh2e0kqgcYdGEyWK6q7EDOQwQsxxEgXbsrghT4yrdUjmfbqyXZmsBcBYK2enFqWCPuHvS4dx+RFeHeeHbbdbH4majxGIuzHMXlRxt+ne8OvBzV4FxLzdBBzt1K5+lN0v/ozYn1d5xYqBqpu+wzFM1deUi2RrtP07Vs/6DMItx7FOmYqFSveN+z+hFf6NQi1HOk/OpmeGg1d8t8Tx6SF9B14Pe1rrDVTKJqxQjN//rWW6ZE0eUIIoVEDR1QS0VAqMzpLifW2jfo627hZmEuTp3cNZlv2CuyXiITo3vBrvPteRo2GMNiKKL3m3ZRd+z4Uw/CjXJcj1Hzwsl7jWng74z/+Y3yH3iTccQKjowRL9SSKpi675O11vvzjtE12uPUYnj0vUrrk7kve5mgMVufoyy2X/tmWXXs/vqObUc/7M5WkUL7yg5e8PaFthnwXIIQQIj2TqwqAwIldqcw57dqRX2Aw4lp4B2Pv/yrh1iMAmMvrslqjqiZofeJreHY+k2ocEiEfPW89Ruf6H2bsfQxm+yW/RulvggwWG675a6ha/UnKr3vgsq7Fi/l7CZ7aN+Jy36E3L3mbF2Iur8M6yhElx+TFl7xNS+V46h76Nrb6OeeyqomMue8fcTZcc1l1Cu2SJk8IITTK0bAMFAO+w5uI9V9XVjRjJcWzbx62rn3CfCZ97ndU3/YZUAz4j20FwDV/TVZrDLccIXg6ffPj3bueiLslI+9TNOTU6sUonnlDRt4bSHPka7BEJJCx9xqgKApV7/ofaY/oFc1Ymbwe8DLYahsY99C3GfvgN5j42d9S/9H/wnkZRzaF9snp2iySwQt9ZDJ4ob1MPpOkcFsTtnGzCJ3ZT+fLP6Vk4e24t/4ZxWTGOnYGiVAfitWBuXQMpUvvSd5aBPDufQk1GsJSNQEgI4MXI12MHmjamTYf4N33CkXTV1zxezumLsN/bCsxb8egZQZbEYmQH1AH5UWzbgSDMWP7rCbiGBwlJAKeYesBmMvqBn1fz+TXunrt5+nd/ASJaAiDxY5j8iLsExcQaNqVuoXM+S52GCZ45hAGq5NY//0VM113IWUggxdiCBm80HemtXok0149ucickxbQ/N9/j//wW8nbX6S5N1604yQGs5WyZfcRbD6Ad3dyArfixr8ats1M12csGj7deT5L2djU6670vW0f/X94dj2Pv3EraiRE0YzrKFl8F1FPB56dzxJqOYK5bAyueWtwTl2WumFwpva54voP0PnSj4ato5gsVNz0YSxDTo1n8mttcpYNyxTFIH9PcpjpkTR5QgihYfGwHwxGiCcgEUexOiieeSPWuhmokQD+xm0ET+ymb9/L9L3zamoCtWTJ2pxcY2UfP5e+fS+nX2g04ZiyJGPvZbQVUb7ifZSveN+gfywb7S5sd/7tiP+AzhTXwjuIetrxvvNq6oiepXoyJUvWDmvwhNACafKEEEKjwu1NySNH8Ri2sTMItzehhgN497yA6fgOzBXjUFDO3Quuv8ErXXpP8nRlDlgqx+Na8C68e14ctqzihg9hcpbmpI5cUBSFopk3ULHyYSLdZ1AsNsylYwgPeTauEFohTZ4QQmhQIhqm+/VfQjyGa+HtVK35NIlgH92b1hFo3E7M007M25la31hUjrGonEhbI337Xx99CjfDqm77DLYx0/DsXU/M24mpuILyFQ8U7MX8ismMtWZyvssQ4oKkycsiGbzQRyYX+esj01o92c78jdtIhHyYy8dRPHc14fbjqKpK3OdGsThQbEUYrUXY6meBwUzJgjWAQsez3yXacxb31qdQsvzkgvNzS81kqtZ8OpUZiyuyNogg2cgZXH1PhpHBi5FJk5dFMnih70xr9UimvXqymQ3cY65s+X3Yx04Dkk998B/ZlFonFvLh87RRPHcV9rHTk+svu4+OF/4fMfdZ+Uyu0kxr9RRKpkdynzwhhNCYqKeDcOtRFLMtdX+4iLsF9+bH067f984rqfvRFc26AYPVSaTrFFFPR9r1hRBXBzmSJ4QQGhPvv/GxyVWVeizZwM2NR+I/ugXLsnsxmG2Yy8YQbmskHujFXFKd9Xr1JtJzlr79rxMP9GKtmkjxvNX5LkmIrJAmTwghNEbtn5Kl/z5vAMRjo78mcd7y/hvkqmnuqXe1c297ku7XHk393scG3Fv/ROWqTxTMKTohBkiTl0UyeKGPTAYv9JFprZ5sZjFf8khezNNBsOUoisGA8QLPWzUVVxJqa0RNJIi6W1PbyebwQza2mc0s0tMyqMEbkAj56Hrlp5jLx6EYDGlfq5cMZPAiGxnI4IUYQgYv9J1prR7JtFdPtjJrzWR6SscQ7W0l4XfjnLoMW20D/qNbkk+9GMI+YR6uObcAydO6iVAfpuJKiqYtH/bYq6v5M/EdeGPYsgGJkA9iYWxDfpCn256iGOh5+w8ET+1DMZqwjZtFyYI1mIrKc7IfF8ry+d6FnOmRDF4IIYTGKIoB18LbAejd9Wwqr137BYrn3orBVgQkn9tauvy9lN/wodQ6A+s7Z1yX9rmmV7P4CM+dHRDz915wG5Gu0zT/9gv4j2wiEeoj7nfjP7KJ5t98nlj/tZRCaIV8BxBCCA1yzVuNYjQTPLGb3p3PAMmb8JYsvptJn3ss9V/lTX+FYkyelOnd8QzBE7tRTFacDUvzWb4mWaonjbrceoHlAL3b/4IaCw/LY94Oerf++bJr0wI1HiUe8pOIRfJdisgQOV0rhBAaZLQXU3rt/bg3/o6ul39CIuSjdOm9ACgGI0ZHSWpdNRahZ9M6et56DEg+gcJgdealbi1zzVuFe8vjJIJ9w5bZ6udgqRg36uvjIT+RUR5h5j+2hcpbHrniOnMpHvLRt+8VPHteJNrTnMpNrmpcC27DNX9NHqsTV0qavCySwQt9ZDJ4oY9Ma/XkZp8NlCy9B8+2p+h56zF6tz2JuXICrnmrUMw21GiI4On9+I9sQo1FAIWSpe/BUjVh2PYSkRC92/+CqagUNRbFYHVgqZpI1Nt9BfVp6+t1MVnlqk/Q9cpPBzV6tvo52OpmXfD7ciIcGLb9QcujkdQ2tD54oaoJul/7JeGWw6jxaDJUDCgGE6oaJ+btoOfN39Kz8XdYaxqoXP0JFIMxp/uipQxk8EIMIYMX+s60Vo9k2qsnV5lj/Dx6Nj5GuK2R8NlDdJ49NGw9a20D5dc/hLPhGtREnFDzIYKn3wEUoj3N9B3cgBoJDnuduWwM5qISiufcisFsveT6MrF/ucxstQ2Yy+sgFiXu78VSPRFLed1Ff182V44n2nV62HpAakAmF/sxWnahdVU1Qcdz3yN05h0A7JMWUrLwTpwN1xDuOIG1ZjLBk3vx7HoOf+M2wq1HcG/8HWPu+0cUoznv+yeDFxdPmjwhhNA4Z8M1OKYsIdx6lJ7Nj5MI9JKIBDFY7FgqxmMbPyc1XRvtbaP1ia8RSdOIWGom45y8BMVkIe534zu8iai7lc71P8S792XG3P8VTM6yXO9ezimKAVv97Mt6bcniu+h6+Scw5B6EBruLsuXvveDrY/5efAfeIOrtxFJeh/kCp4izoXvDb+jb/xqKyUrtvV/COXnxoOWKYsAxaSGOSQsJtRyh5Q9fIXB8Jx0vfJ+au/5nzusVl0+aPCGE0AFFUbCNnU75dQ8MO8owcIpQVRO0/unraRs8xWyn8pZHcEyYn8oqb/0Y7q1P4t27nnDbMVrWfZm6D34nuztyGdREHM/uF+g78DqJkA9r7VTskxdf8dGWSM9Z3FueIHhyL6BSPPsmSpfei9FePOJrbGOmUffA1+l+6zFCZ/aDwYi9fg5Vt33mgk8XCTYfpOeNXw8a3FAsDure/zVsdTOuaF8uVszblRwQUQxU3PLRQQ1euOMEgZN7IBHHOmZa6s9c5ZpP0fni9+nb/yqlS9ZirZ2Sk1rFlZMmTwghCkTw9H4inSfTLlOjQQLHdw5q8hSjGcfkRbjmr6Zl3ZeJdJ2m88XvU3oRR6RyRU3E6X79F4TOHEhlka7T9B3cgMlejGPSwsvabrj9OGcf+wcSkXPX2bk3P47v6GbGPfxvGPtvU5OOffxcxj307eS1bIqBcMcJLOV1o75fPOil541f9V87ed7+RQK0/vkbTPz0L1BM5hFenTmePS+CmqBo5kpsY6cDEPP10PaX7ySbVqAHsFRPpvY9/xtLeR2Winpc82/Ds+NpPLufp/r2z2a9TpEZ0uRlkQxe6COTwQt9ZEPzuL8Xz54XCR7fiaomsNY24Jp/G9aayZqqO5dZ4NTeYcvO5zuymdDZIyTCfswV9RTNuoFIxymcDUsov/HDtD35TXyHN2Eoqryo983mvkS6mwme2kekp5lw88Hhb5yI0f7c96i978up+wFeynsEmrYOavAGRLub6XrtUUoW3ZnRffMdenNYgzcg7nfj3vE0jonzr+g9Bow0eJE8Ivo8APYJC5KZqtLx7L8T7R78mkjHcc7+7kvU3vNFAif2YKufjWfH0/QdeJ2i2TcTPL3/smvUYwYyeCGGkMELfWdaq0eyc3nM30vbn79BzNuZysMtR+hsa2Ts+/4ZZ8MSTdWdqywe8DDa7Xxjva3EepOPPIt0niTQuI2KWz+W3F5tA0UzV+I78AZq2Je3vyeqqtL3zqt4+u8NOJq4rxtlyDYu5j0S4QDujf894nZDZw9Tc8ffXPT2LibzHXprxPcDMBhNGRvaGCk32opJBL0YnWW45q8h3N5EIhwY1uANiPu6ifW2pf4+uasnE+k4jsFouir/jumR3AxZCKE7vdufGtTgpSTidL32C1RVzX1RGuCYuACDs/Si11djYdxv/x5VTQBQsvAOAALH0x/JyIXg8Z0X1eANUKOXfuPegf0dUTx2ydu8kAvdgy8XAxiJsB8Ao8OFoigARDpOjPqa8HnLB+7NGO/fjtA+afKEELoTaBq5CYl0HCcR9OawGu1QDEZc81anWzDia+J93YRbjwHJoQKAeMA7aqPsb9xGy+Nf5dTPPk3Xqz8ncGLXlRV+Ht/RzRe9rmK2Ya2ZfMnvYbA6sVRNHHG5feL8EZddrqIZKzGMMNBhrqjHMXFBxt9zKKX/FjnnN8bGC/yj4PzlAwMjBpN1pNWFxkiTJ4QQBcTkSP5Qto6ZRuny91K56pMXbCBSN/k1GJINoZpI/pdGz8Z1tD7xNQJNO4h2nyF0Zj8tf/gK7gw90it+Ec+PHVC2/L0YrI5Lfg9FUai44WFAGbbMYHVStuy+S97mhRgsNipXfRKTa/AErqm0lrHv/cqgGw1ni6moHIwmor1tRHvbAXA2LEs9C3kYo4niWTcBySdjhNuST/swXWCKWGiHXJOXRTJ4oY9MBi/0kZ2fW2umjDhFai6vI3j26KDHfuWz7lxnA6fSEpEgRTOuByDiPgsjHW1TDKiKgVBbI/GAJ9ncGU2DTtMNvEfM20XPxt+l3Uz3G7/CUjUBo6PkivZFMV/4KJHBVpy6jcr530sv5X2dDUuouPVjeHc9R9TdAoB17HRKr3kP8bCfeFvjFe2H79h2Il2niQf7IBHHYHUS9XRS857/TejsYeJ+NyZXFTG/N/V+l7Mf6Yz4xIsGcExYQOD4Dno2/Q5TyRhogPKVD9H92i/OPfkCQDFQft2DxHzd+Bt3kIj4UWNhrGOmEQ96NfFnPZcZyOCFGEIGL/Sdaa0eyc7lpps/QvD0vuHX5RmMVK35NAZbkabqzmVmtBXh3riOqLsVc0k1RrsLc0k1/iNvE/f1DHtd0awbcPafnnRveSK5rTHT075H8OQeYITTuGoieZF+/33XLndfShffTdcrP0n7FiVL3k3pkrsxFVcS7jx5xV8vW20DpUvWkgj1Ee46jaN+zhVtDyAe7MP7ziv49q0n1tc1aB3FYkeNBSlZeEfqlivZ+Hkw2rpl172fwPEd+Bu3U3P336W+DkVTr8W772WCLYex1UymeN5qLGVjgeQ/GDqe+x6QPHo6sO18/1nPdaZHcrpWCKE7Jmcp4x7+V1zz1qCYbWAwYZ+4kLoHv5mTa5u0zFxai2PyIkjE8O57GQCj3UXdg9/EUnPuJraK2UbZtfdTsngtcO6GwwDOGdel3XYiGk6bX+zyi2EbN5PKVZ8A4+BjEMVzbqHy5o9gLq1FGbLsSiiKgtHuwmC2XfG2/Md3curHj9D92qPE+rowFVfimLwYR8NSLFUTUSNBPNv/wumffoqeTevyMiBkGzsDW/0cEkEvXa/8lFj/6XGTq5Ly6x+k4oaHqbjxw+cavHAguT+ediyV43FOXZbzmsXlkyN5QghdMhVXUn3H53AtuqNg/tWdKSWL7iRwfCfut/+IY/ISrFUTsFSMo/r2z2K0u0gE+zCXj8VgsadOd/a89d/EPO2YSmtHfPqCffxc3JvWjfi+9vHDj4RdjtIlaymedSP+xu2o8QgGewnFIzSeWuE7uoW2J78JagL7+Hk4pi6ldPHdg6618+5/neDpffTte4Wetx4jEfJTNPumnNapKApj7vkizb/9PNGeszT/+n9Stvy9FM++edD1jYloGN+ht3BvfYJodzNGZyljcnTtoMgcafKEEKLAOKZcg33CPIKn9tGy7svU3vtl7ONmAiQfvXXehfNqPEbX679IPeqq+rbPpG4uPJR9/Fzs4+cRPL1v+Hs2LE1N52aC0VGCa94qYPTrm7Ug2ttGx7P/AWqC0mX3UnHTRwi3Nw1riCyV9bjm3IyzYSltT/1ferc/hWKx5fwfKUZHCXUPfYez675EtPsMnS/9iK43foVjwnxUNYFiNBE8tY9EyAeAyVVF3Qe+hbm0Nqd1iisnTV4WyeCFPjIZvNBHprV6tJ5Zx84iEQ0TbjnC2f/+ApaaKZhLx+KavwrFaCIe7CNwfFfySQzRUPJC++s/gMHuGvU9ylZ+AMN2J/7G7ZCIgcGIc9q1lCxZm/q+pqWvQy4y9+bHUWNh7JMX45yxknB7E/7GHUS6ThM8uRc1HsU6ZirxcBBINk1ly9+L++3f49nxLI6GpYMa66wNXgzhnL4Sg9mM7/BGIu1N+I9tGbTcXDmeounXoSZU4iFfxoZD9JiBDF6IIWTwQt+Z1uqRTHv1aD2ruP4But/8DZ7dLxBpb0r+ID8y/MkLlsrxVK76xKDrGUd7D0f9HBLhALFALzGfG0f97Kzvi1azeMhHpOs0AFWrPoGlvA5VVXFveWLQUzV8h97EUjWBsmvWYrQVYa2eRN/+14h5O0gEvDinLMlYfZf6+vJr7yfSfYZI5ynCHSexVI3HUj4udQ9C+ZmlX9LkCSFEgVKMJipv/ijlKx6g78Dr9O56jkTQixqLYLA6sdXNxD5xfnKARRl+z7jRGKwOLFbHuXvsXaV8BzdAPIp94sLUxKzv4Bv4D28ctm6k8xRdrz1KzR1/g2IwUrLwdro3/Brv3peGNXm5Zqmox1JRn7wms0AaHCFNnhBCZIWqqoSaD9B38E2Cp/ZRNH1F3q5pMlgdlCy6E+vY4bdGCbU1XnKDJ86J9JwFwDFpYSrz7Fk/4vq+A29QteqTGCw2HJMW0b3h16n79AmRadLkCSFEhiUiIVqf/AbBE7tTWffrv6T8+g9Qfv2DeaxMZJoaDQHJJ1oMiPd1j7x+PEo86MVgsaH0vybRvw0hMk2avCySwQt9ZDJ4oY9Ma/WMlrm3PDGowUtS6dn4GIrFTiIy/Id6vmu+nExr9eQjS8SSz4ENd55KfV83FpcT7W0d9lpI3hA55ushHvQS7jyZzAzGy35yRzoXO3ghmQxeiCsggxf6zrRWj2TaqyddZqkYR6Bx27B8QPDELspv/JCmai70zySbmXPSYnwH3iB89jDW1Z9CURTKr3uQlt//47DXQfIegPb++xD6Dr2Z3F7dzGHvI5+J9jI9kideCCFEBsX9HtT+ozvpRD3tOaxGZJtzxnUYrA7C7U2EW48C4Ji4gNLl96OYLIPWdTQspfy65On6RDSMd2/yiSQlC2/PbdHiqiFH8oQQIoOMzhIUsy11rdZQckPZwmIwWXBMXY5v/2t0vf5L6t7/LygmM0UzrqNs+X0EmnagxiLYxidvOzPwSDb35j+SCPVhrqjHmsGbSAtxPjmSJ4QQGWQw23DNWz3i8pJFd+WwGpELxbNuxOgsI3RmP61PfSs1SGG0FVE8+yZc89ekngWrqio9b/8R99t/AMVAyaI7ZbpZZI0cycsiGbzQRyaDF/rItFbPaFnRzJWE248Taj5wbqGi4Fp4J8aisrzXl6lMa/XkKwu1HKPilo/Suf5HBBq3cepHH8NcOYGy5fdhdLgAUGMR3FufJNrTTLT7DKBQdu39xIO+jP48ABm8yEYGMnghhpDBC31nWqtHMu3VM1pW99C3CbcexXvgdSxlY3FOuxazq0oz9WUq01o9+cxstQ20PfktIl2niZ/upfXMOxiLylAMJuL+XtRYGACDrZjq2z9L0fQVWfl5kK39u9ozPZImTwghskBRFGxjp4PBWDA/MMToLBX11D/yfYIn99Kz+XFCZ/YPumeeuaKesmX3UTRzJQazNY+ViquFNHlCCCFEhiiKAcekhRjsxVgqxhEPeCERx2AvJtrbJg2/yClp8oQQQogsMJhtGErOPQkjmsdaxNVJmrwsksELfWQyeKGPTGv1SKa9eiRLksELGbwYIE1eFsnghb4zrdUjmfbqkUx79UimvXrylRmsDvr2v07c78ZaPQn7+NkyeCGEEEIIoWe+I5vo3fIEqGoqM9iKqfvAN7FWT8pjZbklN0MWQgghRMGIdJ2hd/PgBg8gEeqj7S//F1VN5Kmy3JMmTwghhBAFw/vOK4Cadlm0u5nQ2cO5LSiP5HRtFsnghT4yGbzQR6a1eiTTXj2SJV3tgxeRzlPD1jlfsPkgislySe8BMnghhpDBC31nWqtHMu3VI5n26pFMe/XkOrPVzyJwPH2jBlDUsBRL5fhLfg89ktO1QgghhCgYrnmrUcy2tMvskxYOavAKnTR5QgghhCgYJmcZlas+gbG4YlBurZ1K7d2fz1NV+SGna4UQQmhSPOjFf2wbke4zKIoBa83kfJckdMJaM5mJn3qUwMk9xP29WKonAmB0lOS3sByTJi+LZPBCH5kMXmgvk89EHxlk7yJ//9HNuLf+CeIxAHq3/gnb+LmU3/AwBpNFU18HLWUggxfnZ0ZnKUZn6RVvD2TwQgwhgxf6zrRWj2Taq0ey7GxTjUVwv/2HYXno9Dv4DrxO9W1/nZX3LZRMa/UUSqZHck2eEEIITfHsfHbEZX3vvEoiHMhhNULolzR5QgghNCXac3bEZWosQtTbmcNqhNAvOV0rhBBCU0yuKsLtTSf4eaIAACAASURBVOkXKgZMReVEPe25LeoKRd2teHY8gzsSwFRSTcn8266qW3mI/NBEk6coSgVwD3AnMBeoAyLAO8AvgV+qOn3Y3EjDFzJ4oZ1spIv85eJl+Uz0lkW6ThNuPQZGE6T5jqmXz8Q2YR7+Y1vSvp994nyinnb8jTtIhP34G7cTdbdgdJSgmIbfGy3fnwlA8PQ7dL/xK0jEU5lnx9OUrXgAFONlv4f8PcldBjJ4cSXuB34EtAKvA6eBGuBe4OfA7Yqi3K+qavqH0WlYuos3ZfBCH5nW6pFMe/VoJVNjUdxv/wH/0c3nQkXBaHdQft2DWa0lG9u01TaQCPbh3rRuUG4dM5XatV/AaHcR6TpD21PfJhHsO7eComCtGk/JwtuzXt9F70c4wNnffXFQgweAquLe/EfGvPcruvlMrvZMj7TS5B0F1gLPnX/ETlGULwHbgPtINnx/yk95QgihXZ7dzw9u8ABUlZ63HsNSNZGiadfmp7ArULHyIYpn3YDv8EYi7laKp1+HY8oSFIMRNRGne8OvBjd4AKpK50s/xD5+LpaKcfkpfAjf0c2okWD6hYk4gRO7cE5enNuixFVDE4MXqqq+pqrqM0NPyaqq2gb8uP+3N+W8MCGE0Dg1Hh3e4J1ntElVrbNU1FN+3YOULlmLc+oyFEPy1Gbw9H7ifd3pX6Sq9O1/NYdVji4e9I66PBHy56gScTXSRJN3AdH+X2N5rUIIITQoHvCiRkMjLo/2tuWwmtyI+92jLo/5Rl+eS9aaKaMuN2vkiKMoTFo5XZuWoigm4EP9v33xItbfOcKiGRkr6hJd7OBFugtlLzbT0sWpWrpQ/0qyK329lr42WsrkM8l8psZjYDBBIv2/g412V+r7TaF8Jqoy+vEJg8056j7nMlMsdsyV44l2nR62jslVTSISzujPgyt9/dX0d+dSMpDBi2z4NjAHeF5V1fX5LuZyyOCFfjOt1SOZ9urRSlY04zp8BzcMWw+gbPl9g9YvhM/EVtuAZ8dfCLccGbaewVZM+Yr3Y7S78lbf0KzuwW/S/ux3CZ7YfW7ZuFnU3P154kFvQXwmV0OmR5pt8hRF+Rzwd8Bh4OGLeY2qqmmvXu0/wrcoc9UJkZ6qqiR0NwMu9K5k0Z0kwgECTdsH5WUr3o9z+nV5qiq7ym/4EL1bHid4ck8qMxZVMOa+Lw9q8LTA5Cyl7v3/Qt+RTRiMFkwlVVirJgIXvmbv/7N3nmFuVFcDfmdUd6XtvTet1/a6N2xsY8D0EhJKIKGnUELoCaQRQkkhPSFfekIgBZJAKKF3CMYYGxt73bZoe+9F0qrOfD9ka1carXFbr3a57/P48cw5986cO1pJR/eec49AcCTEpJMnSdKXgV8Au4H1qqr2T7FJAsGEjHjhxZ3DvFrnoHPEj18Bo2zAlt7F6RVWji+Kx6CTptpMwQxG0hvJufDbuNv2MNq0HUlvxJCSOy2zag8WndlC3iX34+luwNvTiM6SimSMw5wza6pNmxBDUtaMmSESTA9izsmTJOkW4GfAToIOXvcUm3REHElMXizFI8wU2ZHGtYy/pl+Bv1freKVFj18dDMklVLyKxO5uD7u7PfxpUy+XlAc4zh07zyGWZJMRaxRL4zum8V96I/Fly0MyfWLGYV1vur0mhrSCkEyS5QnbTWfZdHtNZpoMREzeESNJ0p0E4/A+BE5VVbV3ik06YkRM3vSVHaitN6Dyk9d72NbuRkJlSZ6ZMysSWJBjwqiT6Gu188FoNi/sHaFxwMfvd+npKzuOy7NLYmZ801EWa/YIWezZI2SxZ89MkU1HYsbJkyTpLuBe4APgNLFEK4hVVFXlwXf62NbuJsks85WFHubPzgxrYzXA6QVWTiu38Gqtk9+8188Tdh0ZGSOcUZEwRZYLBILJxNvfhqezDl1cIpIpfqrNERwFAq4hhrY9z2jzTvSJGSQtOZvkZZ9A0sWM+3RAYsJKSZKuJOjgBYD/ATdJkiaGqVFV1b8cY9MEAg27uzz8r9FFnEHinlMzyfYGt0ZQVZXmQR8DowEyvMECzJIkceosK7IMD27o5+EPBllXaiHOMB22qBQIBAeD4vPQ8eT3cVZvCMl08UlknXcn8UULptAywZHgHWin7e9fI+AYm3MaqXqVwc1PUXTdH5H1xim07uCICScP2L+GpQNumaDNW8Bfjok1AsEBeKHaAcA5cxIoTjXi7oS2IR8//18ftX1eACQMrGnq5UvHpxJnkFlvs/Lyrl6qB2XeqneK2TyBYAYxuPFfuOrDt2kNuIboePxeCr/wawxJmRP0FMQyva/8LszB249j91sMbHiMtHVXROkVW8SEk6eq6neA70yxGUediZIuouliKcD04yabKHg5Wtv2vdvZ2LwMCViX3Iu7s5femq18u91Av0cCVIKpF/C/Rhdul4PbFwc3qV1nbKSaWTy/s48Tk7qO2fimo+xwk2GEbPJk4jWJLgs4B3HVb9W0A1B9bvrf+QdJS885ZvaBeE2Ohizgdmgc9/EMbn5KOHkfdyYK3BSJF9NDFk3e2SMRaJKYn20iv6QIgG0t8j4HDyD8/83dMj3mIgqSDZywEB56DZodMqSVYt63ZBtLY451WazZ83GU+Z2DeDprkQ1xmPPnTLk9Uy1zNWwj+OMuOp4uO4rbEcrMFO+T6SHTma0a2Ximy/6GwskTCA4Bly/ovCWbdSFZ/dCB98Cz93kpSDagl8FqkhkYVXB6lZCTJxBMB1QlQM+rf2Bo63OhEmr6xAySj7tgQkfj44DOknJAvbe7gfbHvoU+OZvUtZd+rJ/VdEKfmIHOkjJhneT44sXH2KLDQ3zLCASHgEEO/mL3BsZ+uVsNB+5jNY29zfb3E5sjC6Ybwx++yNCWp8Nq5PqHe+h97Y94o9Rl/bhgzCgK7dN3IPyDncEYL7fjGFglOFIkWUfKyguj6wwm0td/8RhbdHgIJ08gOATS44L/1/R68O+rX7Y2V5mwfUqczMIcMwAtIxJOr0qcQcJiFG89wfRB8bpx7Hl7AqWfwS3PHFuDYghJkkhdexk6a+pHtlXcDkZ2vXEMrDo6KD4P3v42vH2teAfaUf2+qTbpmJK07BOknXgVsskSkpmyyii+4WHMubFbWWU8Yrl2EhGJF9NDdiiJF1ndW8i3rKTVCe/sqGdltkpa1xY+U76CR2vD305GWeVLlR4CPXYCwPM7+4Ac1mb78XXb8R2j8U1H2aG8JkI2+TJvfzuqz6Npt5/Rll1hn2mxYvexknl7W8j6xFdx2bfgatiKt7tB02Y/o01VmPPmTJot++05kmv6Bjpw7H0Hl30Lqn/sdZcMZiy2FVhmr8Hbo529jaXX5GjJ4ooXYcqfi6+/naRFZ2DOm02ULd5iFuHkTSIi8WJ6yyaSn5WRxu83DfBcq4U1C7KwABdnl7Ko3MOrtQ4GRgPkGZyctaSALGvwLdbr9LPRGVzXPXtxHuYU4wHvIWQioDyWZPqPiDszJGVqrhELdh9rWXzhfJxFC+j4190a/X5MmcWT/qwOt7/iddPX8hAD7/wtJNMnZiLpdKgBP/7hHhx73sax523iy5aTuvICJL1hwuvNKFn+XOLy52jaxTrCyRMIDpETSy38a/sQtX1efvlOH9fs+yyoyDBRkWEC9jny+xy8wdEA973WgzsgsSTPTFFK7G+gKRCMR5+Qhim3Ak97dVR9wvz1x9ii2CW+eBH6xAz8wz1apSSTMO/kY2/UQaB4R2l77Ft42quRjHEkzjuZxMVnYsooDk1MuDvrGN72PCO73sJl30z7v+8m56LvTItNgT+uiMAggeAQiTfKfGt9Bia9xNsNLu7brOeD1lEUNXwbBY9f4ZVaB199rpOmAR+5FpVb16ZNkdUCwZGRsuoi9IkZGnm8bQXW2WumwKLYRJJ1ZH/ya0jG+EgFKasvwZCcPTWGHQBVVen670/wtFejs6RQcOXPyDjtekwZxWHtzNk2Ms+8ifzLf4Qcl8ho0w56XvzV1BgtOCjETJ5AcBjY0k3cd1om3329h+pBuO+1HrKsehbkmDDpZQYHdWzra8PpDTp+5WlGbp/vIMGk+4grCwSxiT4hnYLP/YqRqlcZbd2NbIwjYe4JSOYEJEnMF4zHnFtB9vnfxNfTiLe3CZ01jcT562M2s9bTUYOz9j1kk4X0067HmJYPgBrw4azbzGjrLgIjfcSXLUOSdZiySkk/5Rp6XniQkZ2vk7LyIozpH51hLDj2CCdvEhGJF9NDdrhB/oXAj1bBS9s7eMtVSJfDzyu1+7eX0AEq5UkKpxYqrMr24q3fgts0uWOZybJYs2c6yVS/j9GWKkYbdxBXvJC4wvmhAuuHcj2LbRnmgkrMBZVh8v2B6Kqq4qp7n+HtL6H6POgS0rDOXkN82XJcdm31gFh4NpMlc7fuCT0vgIDbcczeJ4eaeNG/4TEA4suPw9vTjDspE29fC32v/YmAaxCAoc1Po0tII339FzEkZ+Mb6CS+dAnOmo30b3iU5OPOj6nnPxnPdf+G1tMJ4eRNIiLxYnrLDqatGbjICJ/NLGRnp4fOER9uv4phtJfZpfmUpo7Fqrjl2BrfdJTFmj3TQebuqKXzqe+HanCONn2IzppG7oXfxpRddsT3GC/vefUPwb309qF4nAy88w9UnwfrnLUx92xmquxQ2hqSsxlt/BCQSFvzWQJuB8a0fDr+fU/IwdtPYKSPvjceouia3wFgLV+Bs2YjrvotZJ518zEb31Q+1+mGmGMXCI4COlliYa6Z0ysSOK8ykZPzlTAHTyCYChSfm47H79UUWQ84+mh//J6juu+Zt68lzMEbz+CmJ6InIgimHF9/G2rAhzGzJBQv6Ni7YcJKD/6hLpz24EyXKasUfVIWiseFf6T3mNksOHiEkycQCAQzFGf1xgm/rAOOfhy1G4/evWo3HVA/2rLrqN1LcPRQvKMA6MxjG/76BtoP2Mc30BY63l/jVfG4JsE6wZEinDyBQCCYofgGOw6sH+g8avdSlcBHNThq9xIcPWRDsCLPfmcPiJpFPR59YmboWPEGnTvZaJ4E6wRHiojJm0RE4sX0kInqCtNDFmv2TEeZFvWovSYf5Rgo/oD43IvBxAtz/myQZDxd9TjtW3B31BFXWIlkjEMd5/jtR45LQJ+QjrNuC76hLnwDHUg6A37XMKNNVZM+PpF4cWgIJ28SEYkX01sWa/YIWezZE+syY2o+Q1ufQ3ENaXQ6SzLJyz+Jt6/lqLwm5mwbrrr3cex9R6O3zl1H0qJTY+rZzGTZofa3zFqFs3oD7vZqLOXHYc62kXPBXXT+5/6wZVg5LpHci+7GnFuBpDcwsjNYhzdh3knEF1QiG0wx9RxE4oVw8gQCgWDGIhvN5FzwLToevw9ldDgk18UnkXPBXcgG0wF6HzpZ596OITWfoa3Porgd6OKTSVpyFimrPo2np/Go3ktw9EhacjbO6g0Mb3sBc24FAPFFCyi6/s849ryNu62auIJKrHPWIhvjAPAP9zJS9QoAiYvPmjLbBQdGOHkCgUAwg4nLm0Px9X/GsfcdRtv2EJc/F+vs1aFYrKOJpDOQdsJlxJevwJSaj2Q0i42SpwFxhfMxF8zD3bKTnld+hymzGH1COjqzlaTFZ2HKmRU2s+Ub7KTnld+ieFzE21bMmFmvmYhw8gQCgWCGIxvNJC44BWNm8TH5QpYkGdkU/9ENBTGBJEnknP8NWv92J76+FloeuoWkJWeTuOh09NbUUDvfUDfD219iaOvzKO4RTFllZJ/7lSm0XPBRCCdvEhGJF9NDJhIvpocs1uwRstizR8iCHGrFi/2kn3odPc//Av9wN/3v/J3+DY9iTCtA8XuQ9EZ8fS2wr0a3PiWXtPVfxDtuu5VYeg4i8SKIcPImEZF4Mb1lsWaPkMWePUIWe/YI2ZH1lz/1dVSPk6Gtz+OsfQ9vb9M4pR7rnNUkLT4L9EbicsonfSyxJJuOCCdPIBAIBAIBEFy6jSteRHzxIvzOAXwDHXi67JiybBhTc9HFJwEHXqkSxA7CyRMIBAKBQKBBb0lBb0lB0htnzMzWxw2R9jTJyBs2IdXWg/fo1YgUCAQCgUAg+CjETN4k4u6oJfkLNyK53Kg6maEXHkJNSgjq9k11S0MjqEkJMRVg+nGTicSL6SGLNXuELPbsEbIgh5t4IWQTy0AkXggiMEuJSC538MRqxTRrEUjSWOLF0DBxx52PmpqC1VaA/18XgySFXyOGgk4/brJYs0fIYs8eIYs9e4Qs9uyZKbLpiHDyJhFp1E1g3fFI9kbUrEyNAyfVNwb/7x9A6k/U6OWGVkyXfRW1rJjA8iUEvnD5sTJdIBAIBALBNEc4eZOIWlKE95HfBk8CAY1e6u1DjTMjjbpRCnM1el1DC3KtHWrt4PZonDzpwyr0/34KNSMB6cT1qIum31SyQCAQCASCyUE4eccKnU4jUk49Cffu95A6uvB02DFGdmlqCx2rZSWa/vLW7ej/9m/0gL9zCF+EkydV7UZuaEIpK0EtLToaoxAIBAKBQDBNEE7eJHLQFS904HS3Yolo71qWQ8JDD6BraidQmEugsy4sIDS+anvo2JuZgGdcf2fdFuKe24nxH88AMPrFS3CeWBp2fbm9m9G2XbBMDVsqjqVgV5F4IWSxcG8hE6/JdJGBSLyYDBmIxAtBBBMFbh5KxQvDPpkMGCLaqZdfhm/OPJSdO9CtW6/pb+h6J3SsW7QUi60srI3h/t+T9N8XUa1/xvvT76KcfnK4LYoCshwuOwibZ4os1uwRstizR8hizx4hiz17ZopsOiKcvGmMumQh/iULJ3QaleOWgSwj2RtQbFGWe+0NAEgOJ6SlavTGSz6P1NmNWlaC9/pPwwz5oxcIBAKB4OOAcPJmMP5rr4JrrxoTRCwHq0mJKNZ4ZIcLpaxY01+usSMNDEJTC+rNl2r0ljsfQM7IQbUV47/iEoiPP7oDEAgEAoFAcNgIJ2+S2bh5G9lZGRTm5aCLknwxlXgf+xPujlrM+lRISQ5XDg4F/wFqnBk1My1cPzqK8c1NQb1Oh/9zEdu7+P3of/p/qKXF6JINYhZQIBAIBIJjjHDyJpGmnhE+ceX1OJ0ujEYjb73wNCnJSaDPhl4HAK7RUeLj4mhvHSFX7wjrfySyQGMtORH2RA0wtX8AtmXQORDezrYM95v/QNfSgdQ3gLN+a1h8nq6mgbh9x0puJu7+prB7yC0dxP3fn4JtU6wMvzgr7L6uHRvQv7sVpTgPJSsddDqReCFkB5TFmj1CFnv2CFkQkXghEi/2I5y8SaRXTsXpdAFgjosjdfZKJEmiuddBYbqVkeEhli4tIjsnj6Ly2Tzy6ONI47JcFUMhcro17JoHKwMwR5MdatBpcSUAlsi4v4RcRh68G1O/F/S6MJ0524a8a2z7F6WsRHMP/ZYqEm69G4DAssV4n3g4/L6jo6CoYFsmgpeFLCbuLWTiNZkuslizZ6bIpiPCyZtEXE4nxx2/hvq6WvIKCsMcOIB6ezBGrrOjDbPFqtG3NNi5+dKbKCkrZ/GyFVz+uWuOme0fiSUe/4qF6Cd4I6gF+fhuuhbJ3oC/MEOjl5vbx9oW5Wv0uhdexXjrNzFlphG49NP4b7n+6NkuEAgEAsHHAOHkTSIlZTb++vizAHg9Ho2+q7MdvV6P3++noLhMo2+0V7Oraju7qrYzNDSocfJ27viQZ574J8nZRZy4ZhVz5y+cnIEcBuqsMvy33wDs2zImUp9oJbByGbK9IepGz1JdMPNX7u4j4PVp9Lo//RX9f55FKSshcMG5UJF11McgEAgEAsF0Rjh5xwijyaSRnXbmuWy3d9Da3ERbv0Ojb2mwh45Ly7QzZlvff4+//OE3ALR99gq+++Nfhul37K6mobmVirISSosKjnQIRxXfKavRXXZl8ERRNHrJ6ULV65H8ftRo27/s2ou8cw/yzj0oyxdrnDzdX/9J3K4dyPMXoZy4BjUvMkJRIBAIBIKZjXDyJpHmXq3jFk2nS8pmZLhf07589bn8bOlxtDTUUWyroLnXwa6W/pB++87doeOU7MKw/kMt/Tz/n6f40yN/B+CGaz7HBaevC0vQ6OzqZrC7g9n67LD7HpOEj4+Qua+/EL74STwbX8M8rwA1oppHwt69oXNPilFzPetTz2DeUgWP/hfHT76Bb82ysHsYXnsX9DoCRXl44/waWw7XbiGbPFms2SNksWePkAURiRci8WI/wsmbRAqjJD4AocSLj2w/t5jC9HnAyVHbXXLJxdhKCqnatYcT164O69/MIho6fhU6ty1eg1K+PixB40f3/oTnnn6ClNQ0vv/TX3HyaWcCY4kcqqqG4gSPecLHftbqMUVp5/vraQTsDUj2BvRrTsbi7gnrq2/pGjteugpd9ljtXnO2DdMfb0WuD2YES3/9CYaF4feQdlcjZVREvXcsBQJ/3GSxZo+QxZ49QhZ79swU2XREOHnTmOUrV7N85eoJncZFy1bg8/mor6uh1Fau0TfYawEY6O8jKTlFo7/q4k/S091Fqa2cS790B4XpMfQrJi0VJS0VViwNnnf2jOlUFe937kTZ/gGGnhHUgrzwvl4fUlNr6DRQkBMqGQeAomA6/3LMo27U1BTcbz8HCRHPNxCAGNv3UCAQCASC8QgnbwZz3Y23cd2Nt4XOI5eDzeY4TGYzHrebUtusyO7s3b2Tgf4+6mr2cuVN39Tov3vnDeRkplNaVs5Fn72CuFipeCFJKGedintJSfRNmN1uApdfjFTfCA4nxIWnhUid3Uij7uCJqmodvKFhzMtOQi0uRKmcg/trn5uccQgEMxS/Y4DhqlcYbd6JJOuQjXEY0wpIWHDKVJsmEMwohJM3yZg+3Io/O4dAVjZEbJEy1Tz2zEs0dg9j8A6Skhpeu3ZwYICB/j4g6AxmZOeG6UddLt588RlUVUWWZS65/OowfSAQ4AcP/p5ZpcUUJ+tZHktT34kJ+O752th5RLk3RkZQ5s5GstejRMv8tTcgeX1INXbQa99CUl0D1jvvRpo9B2XpQgLnn3u0RyAQTEs83Y0MbPwnjup3QQlo9P0bHsVcUEn6SVdjztH+8BQIBIeGcPImkeaeEdZ9+jz0jhH8FisbXtiIf9+y6P5ZNcnnRTUYwxIq9nMsZHvaBqksSA2b5dvV0k9lQSpPv7uHlkY7/T3d7GkbRB5X8cJevRtVVQHIyS+kc8QHIz6G9t2juaWV7/4smPmblpLMhldXhd23rrab3m1tlBYXkZGehiRJU5bwoQlSTpIYfeh7OGs2Y82eo0n6MNhdoXN/brrmmoZN7waTPrZU4W2w4z5+Tti9ddX1GP63mUBRHp44F6w5PLs/brJYs0fIDq3t4PtP4ax5F9XvBUnCXLgA2WQhLn8Oit+Du3U3o43bcTdX0frXr5K65rPEly6d0vFNRxmIxIvJkIFIvBBEUKK60DtGAJB0Mrll+TCu4oU8Mkzp4nJ8hUXML61g6JF/aGb7DipBY7Jk6VbmFAddp8i4v1TTbO5/8C+MdLdgMBhCumYWIadbadg19iGTb5uDnDM37PrV29u4/bqLAFixajV/e+K5sEQOj9uNJElTl/Cxj2iJF7o1NkY/dVFwuddoxJIaXvFD3/ta6FiaUxmmM2fb0D27EeMf/gmA4ZOnolwYfg+5oRVzfX9wFjEzPfQ3EUsByCKgXMgOpe1ocxWOvf8DJYC18kTS1l2JITEjuIfmuHZ+xwA9r/wGZ/W79P/v75gyirGUHzel45uOslizZ6bIpiPCyZtE5OFhRpcux1hbjdc2S+PAGex1SIEAxoZ64mU9QxH6uMZ68q/+Cl5bOe5lKxi+9Mpjaf4BsSYksnLdKRNmEOfm5fOF62+iwV5Lvm2uRj9+D8CcPG3Fixefe5o7b76e7LwCLv7s5Vx/81eOnvFHg8QE1EX7ftVFLPf6L/kUnrwkTP0elIWVmq6yvSF0HCjOJ3IR3/TMK5j+8V8AfHfchP+GL4Q3GBiEWIl/FAg+AsXvpfPpB0AJkLT0XNJPuUZT3Wc/emsKKas+jTG9iIENj9L53x9T/KW/HFuDBYIZhHDyJhGfrZzW/74Cqorkcmr0hrYWVElCUlVcUSpeWO3VxH3wPnEfvI++s0Pj5Bl37iDhmSfxZhViXLMSb8WcSRvLoVIxp5I77roXiL5fYFy8hYVLlmGvraG0LHrmr6IotLc04XK5NPq/PfQHnn3ycUpt5ZzzqYtYadOWTpsysjLxrVmGboJfgoFTT0JNsCLbGwjMLtW8CXWN4+r+Fhdq+hu+9V10z7+CMTcL/wP3oKxZeTStFwiOKs69Gwg4BzGk5JK+/gtIkoSqqozseIWBTU/gH+nDkJRJ4uIzSVpyNgCpaz7LaHMV7padjOx8HXN+7Hy2CQTTCeHkHQskCdWinfFynH0e9rp2DA12OgZHSYvQx4+b7fJG2QIlbtNGUn/1M1KBoUsuo/unvwrTG6v3oG9rxWsrx58XWxUv1p/9Ka6+8nJUVcXv125GPNDfH/oyiLb9S9X2rWzdsomtWzZRuWCRxsn786OPU7d7J3MXLuakNSvJy46dsmfKyWtRTl4LgL+zTvMmDNiK0I36kOyNqGXFmv6yvQFJUdC1duCLj9PojZ/7MgyNoJYW47/5WvEuF0wpQ9ueA8A6Zy2SHNx2qO/NvzC46YlQG29vM72v/A5vdwOJi89CkiSSl55LZ8tOhrY9hylv9pTYLhBMd8TH/yRysBUvyCxml6efyoj29SvPYHjeQiwNdThmzWUwouJFxbiKF905RZrkibLHHyHvoWDyQ/31t7HrnKvCrm/s66GmzwOEL5dOTRKIJ0z2+a/cy2Vf/jpvvb8d2/xZmrHt3VsdOrdmFGiu9/f/PM/G97cA/+HXP32Ak9cFnar9SRuvv/U/DAYDJcVF+OPSKNZrX6spq/xx+hwsN1we3L4FoLNurJ2qYhx1hWaA3VY1PDGkdjNJm7ciDztgyzYcjUgcGAAAIABJREFUl52Jc6Qx7Prx3/s1OtWFsngp3vWrwWQ8NPumQZC/kMXGaxJwDeNu24ukN6GqEu7OOvwjfQxu+k/Uaw1vfxlV0sMi0CWmI5sT8PW1MlL1mmaJN5aeQyzJQCReTIYMROKFIIIjrngxz0ZC+iIAEvf9C2t3/vn05WTg372XuDWrNP3T2xpDx3HzK6ksSA1rk3X3rax98t/4cvLofuCnuE45/YC2H3uZFZN5ZdR2v/vzX7HX1mCvq+GEVcsZUYxhyRj1Le2h47Ll65Fzgkun+5M2fvR/V4Y2g/7NYy9QOndR2PXraqsJ5K1EzgmfAZzKRJD9Mu9bz8PoKN4P3sU0K9xuaWAo6OABanwcpgXHoXalj13P5cL09KuYAPX595EvvwoMY1tBm9OL0T38KGpZCWpZCdiWxVzgcyzZI2QHbuvpDsafGpKzsFasxJxtY7BtL6BGvQ6AJKmh6xnTC3C37saUWRxTY451WazZM1Nk0xHh5E1jRteuY3TtugmdRs/8hcgjwxjravGVaf9gjXU1ABg62lASEjX63MsuQtfTjdc2i54v3Azp847+IA6T7Nw8snPzWL3uJABGxs30qarKHd+8h607dtLf0Ux+YVFYX5/PR0vTWPJDfnFpmF5VVS4882RcLifZOXk8/+ZGrBHPZ3zJtykhLg7FVqQRq8mJuDe+HNzLr39Ak+wj7SvlBqAW5Yc5eABScyvGe38U1GdnMvr0b8Nv4HShq66HxFyR/CH4aPbPRo//O1SVA3dRxuulfZeZ2CkUCAQTI5y8GUz/7V+D2/dt+quq0BeR/CFJKHo9st+PL0rcm2n7NvR9vZirtqNec5tGP+eu24jLSsdrm8XI+Z9GjZEvfUmSOPf8i1h4wplRnd9Rl5PzL76UBnstLqeTuHhLmL6rox3XvkQZt9uFxZoQph8eGmTdsnmUlNmYM28B137te5M3mENFklBzslFzs6Oq1dxsvD/7HoEdW9Fnhy/TO33gqapjf89oG0HLH1aReEUw0zlw6ol4//jL8AZ+f7DcW4xt/C2YGnTxwR9H/uEeVL8PgPiSJQfsY84LJlmoSgDfUGfwOmbLgboIBIIJEE7ex4UoX7otL75JS8cApc5eAqnhaR/y4CD6vl4AFLMZd054/VdpdJScZ/6NpKqosszIhZeEXzwQIOU3D+ItsxGfng/p4cuKU0liUjL3/+gXofPI2MnBwQFKbbNoaqynpLRcM2PXYK/D6XSwc8eH+PZ9cUXqv/u121k428aKJQu44JzTNW2mjNQUAuefg/v42ZizbfgCKpuaXbxQ7WBXl5HyNokzl51BQU8r3Ull+DslVmeq6OXgM5DGbf+iJmlnf3VPP4/hru+hlhajnroKbr75mA1NEHvorGmYssrwdNlxNW0nLn8OxrR8EhedwfCHL2raWypWY8wIzlC76rcSGOlDn5SFPjn6jxaBQHBghJM3iRx04gVTlewAuzpHUAtywmb5drX0Q34KbW9ux9JQh7Gvh11tgzCu4oWlZg+2fUsoo3kFNDn84BhLDDG3NlH+ve8AkJCUyk9+/xImvY7ZeckkxhupqWklcXsXruJS/EkpU/oMOgfDt2iJzyzm9/95nR0NXRQkypqkj44du0LnWfklmmtu2LSFtzds5O0NG1m3dxXLV64GxhI0qmvreHvDRkqLi0iJ17NkRfgX2LFK+NjVJ/GrKj0DnqADZ5ACDNlsPGqzMegBnyLBdni4upmbF/ipSFExugaQclLRdw/izUzEsy/pY/89zNu3YnS6kKp24y9LIRBZMu53v0e/t5tAcR7ek48nML9CJF5MY9nBtI0vW4any87why8SX7oUSZJIWHAakt7ISNVrKB4nclwi1orjSVhwKi77B0iSRP/G4IbhlvLjcNm3IknyhPcQsnBE4oVIvNiPcPImkSNOvJhqWUYCzAr+qq6MsFk2lFP149+S092CajKH6QrTrcRvH9vrrT4ll43VXQC8vbud81eWsmK4laWfuxAA5wkn0f7Yk+G2eL3BZT9Sp+wZTCQ/Y9EVnHfOWdTX1WCOiycpL9zGkZ7W0HFJ5eJQtY/9CRqbnn2TnzwYzHo+64LPsuy88M2Om9v89LQ5KCkrJzklJazveI4k4WNLt8TPtxrwK1CYbODMCisrrV2k5AeXaJ1ehTfsTp7f1U+7U+L+LQa+cXIGi6+7HscnT8WcWoTk92Eet0RvzrZhGHSHznWLlmGIuK/cMYrh3a0Y3t2KPG8RgX36/fbpnngGqbsXQ6oZ3dw0SE35yLEI2dTKPqqtMTWfoa3PERjpxVW7ibQTLgMgLncW1sqTMGcWg6wPzZhLsg53yy48bXuR9EZSj78Y33BPTI051mWxZs9MkU1HhJMnOCyUpGS6TzsnqkMB4M/K5p1TL8Rcb6cmb6zQuKLC4xvrmTc4tv1LIF27kXHCs0+TedsN5BSU4L7kswzccHjLfgNODx/Ye3C4fRSmW0mxmg7rOuORJIm09AzS9tkdOSv7iQs+TUJGPiM9rSxaulzTv8E+NrtVWKL9IHnu8b/z70d+B8BXvvEdrvnyLWH6keEh4qPsu3iw1Pd5+eV2PX4FzpmTwNXLktHJEu7OrlAbi1HmnDkJnJTUxcNNqbxc4+CBN3v54VlZZAIYDcF/Efh+8X183/4qsr0BXwJEPm1d05jzr5YWa/rr/vU0uvc2YwA8f85HWX9CmF7//nakfGcw8zfKcrEg9pCNZrLOuY2OJ+5j4N3HUDxOUtdeis5sRZIkJN3Y35HicTG09TlGdrwCQOaZN6KLT8I33DNV5gsE0xrh5Akmhe6SCu5fexXq2uj6hmEvS+bOw1BfF3WjZ0NdDbLXi9VejXdoUKNP/OtDJPz3Sbxls3B84pNQro3529HYx8vbW1HGZealWE3cevZ8UhPMhz+4jyAvv5ATTos+Awmw9sT16PV66utqsc3Wlj1rbhxzAiMzgwHuuuNWXn3pOXILirnnez9k1Zp1h2TfY9uH8CoS620WPr88OTSD0jsKe2odyMDiPDOp8Xp0Mly3MoVRr8L/Gl38e8cwN1Qc4OKSBOlpKOlpYfv37cd5142YB3zI9kaU2drXXa5vDB2rNm3iR/wDv0fX2gGA+6XHUWfPCm/Q0QmZB1f9xNvbwtC2FxgxmonLm4ul/DgknfhInAwsthWkrrmU/g2PMfTBfxne/jIJc9dhyChE9blRvKO47FsY3vk6qncUJJmMU68jofKkqTZdIJjWiE80waQw4PQcYCcseG3xepbf+xVQFCSPR6PXd4/NKnmjbP9i3rqF+HfeJv6dt/HOqtA4ef6HHiLt1c2sTc9nR/F8BhKCy34DDg9/ebOG285dcHgDOwqccsbZnHJGsHxTtLjNvMISZs+dR0N9XdRqH/V1NXg9HhrrqjGZtM7qZ669laHhEWaVlfCVL32e9HGhTN0OP1taR9FJKpcvSQ5VFXn4g0Ge3mVAJRhfKEtw4fxEPpUNsiRxxbJkNjS52Njs4tJiONwweKW0ACXbRtRNNFQV35e/iFzfiFq9BzU/N1zv8SJ3BP8uVElCLYqo4qIomE/8BKgKxvxsvM/+a8JtXvrfeZT+d/4eOh/a/DTGzBJyL77vMEcm+Cjiy5YRV7SA/nceZbRxG8M7Xo7azphVRvpJVxNfHDvJWgLBdEU4eZPItEi8mCSZ2xtAksa2yYpG2DNwhlfzaP7a99Dd8DW6Nm0jZ1Elvojkh6V794bOW6NUvCh89B9csXMzAN/5zLfYOGesvmt91zDt/3gCa0oCrhIbnbro2zNM1TNc95mb+NId30HZt19Y87hKJ6qqMjQ8EmprSMkNe45DLf28tXELg0NDvPnu+3zmkktodY8laDxX7WLXs78lL9XCP/XzWH/iWja1Kzy1Kzz5RFHhXzuGcfR6OcMQ7FuZaaCqy8eju31cYDmKFT7Gy05fBizD29uCsachrJ00NIK6rAJjnwvJ78c91AZDY/3ljm7i3PtiArt7cA+3w/BY/9Ftb5N01xfw5aRglLthVXi8n7e7gc6nHyCucOGh2/0xlcGhBflbbMtIO/FKfENn4qzZiLttL7LRjKQ3YkjKwjJrFd6+NmSzFff4Si4xNOZYl4FIvJgMGYjEC0EE0z7x4ghli0vS2Vrfq9FLwEnz8j76eulWAgmJ5ERpN/ibP+Kq2YuhrpakVcupVE1hfdPbm0PHLRn5mv5LfvU9EhqDtYHff+x5UsqPD9PrmxqRshMpiMHn+tb72xkeGuS9bTuZbwufzaoaKGRwaAiAuLh4chauo7XfFUrQaNz8AS2bnqUF2Pzy42y3d/DW+1X7eksogQBtW1/Ckp6PJb2ALY4cztqXOLJ4djdVXTV0GvJCySTjmawKHyGywf3L7yJl20BVMY/b2sacbUPqHEXNSEfq6UUp1VZI0Ml7kHv6MfX0Y03XxhMaB31kvPIGhrVG9P58lBPXTN5YZpDscPqbs20kVByPu7NO0y6abDLsnsmyWLNnpsimI8LJE0wal6y2MTLqo7ZjKCTTyxIXr7GRk3JkGyf7ikvwFZfAaWcGBeNnBVWV9z5zHY4Pq8jva6MjJXxxURfwY2kdq/zgKi4jbE5HVSk6ZQ1F7lH8hUW0vPhm1IogU0liUjKz52mXs6yJSbz8zgfU19UwONCPLIdvO9E1rtRdYVEJeoOB7qHRkGx0sJM9//01AKaEVOLv/GtIF2/SE/C66Wq24/XOwmg0HuVRHQJR9n1UF83HveV1GBrGa68i0jpd01ipO0+y1smL6/WSXOeCuicJtPTjjXDypJo65M3bUMtKUGaVHZVhCAQCwWQinDzBpBFv0nPTWfPYWNOFy+PHbNSzqDgNq9lwwKXsI0aSSPrydTz4xFYCina9eGGGGccnL8Bor0NyOglEVLzQdXUiO4P26fr7UCIqXsjDQxQdvwRfWTmeyvk033b35I3lENHpdBSWllFcGt0JSUnPYu55N5JrcFBZkoMsSSTFGxlyeQFw9Y5lv1rS80mIG3OG3L4AQ601vPaXb/DE/TpOOeNsHvzDI2HXVxRF41gec5ISUXKzNGLvWevQnXI6Q4/9AkfXTo3eNOgPHSvRMn/fehfD/T8GwH/ZRbhv/EyYXmppQ25pgdSiqJnHAoFAcKwRTp5gUpEkifw064RL15NFRlIcn1hezAtbm3H7AiF5XqqFi86cR9f5YzF6RDicur5efAWF6Ftb8NpmaWaNDPY69P196Pv7kEeGicTQUM/8b38D/dy5uBctwXnmOUd3cEdAUX4uDUtPZ3FJOp9fPxuA4yuyeGFbMIbHEJ9EzqKTcfa0kphXzsLisUooe1oHcPYG9wAMBALERUlqeOyp57jz3h8xq6yEC05ezpdu+PIxGNVBotej5hdjvPpLuB65TRMwOlQWj372AixKKtLaVZru46t9RCv5pn/o75j/9DdUnQ7ft+8gcFW4E4jXJ5w/gUBwTBFO3iQz0YzVTE+8iAWZ1x/g2tPmUtc5xKjHT1ZyPEMuDwPO4L/9RFa8IKuEuufepaezj3w8eCKSPrI/rAqdDxZoK15kbNpC8Wsvwmsv0rv6RPYsPzHMRktdNanv/Q9niY1GSzYsmj2pz2G8rCQzgTd3QVVTH7UdQ5gMOubkp1DbMURd5zDJBRUkFwT3SKnITSbepKe518Go188H9uBeZckZOQz2dJCaUxz6Ox7ad4/NVdX0DQyyccs2SgvzNX/nf/zLs2yvrqe0uJBTTjyB+ZVzo1buaHamUxjlvdPpSCS79wgrf0gSKWsuZXDjv1D93pBeWrAY1l1Bb+MOLLZMiAj8N1bkEzhzHbqmNjyZFk1wtn53cO9HKRDAa/Tji6gGYvn6j9Bv3UWgKA/fJ5fDWZ+Mbl+MyqIF808kjyW7Z7JMvCbHTgYi8UIQhWgzWB+XxItYkZXnJIXOD+XZA2RFkRsXXkHDqesx1tWiWK1UFoTviZfSPfYBq5s7R1MNJOmpzWT+8DsAZJ7/GVyn/Cbs+ubWJgo6BvCW2VDHLSUfjWdTmG7l7T0d2DuHqWkf5OylwX34bj57Phv2dtI77AYJ5hWmUpaVSEufk8J0K09tasCvqJx+/qWc871vkBEvEwj4sSYEr9vMIuR0Ky3jHLD8pes1CRrbW4d55fU3AcgpX8jCU+aGVe549qkn6OvtxppRQMq6NSQlJ4f19xscR6XyhznbRvLScxn64L/o4hMx583BlBmcnZP1xqhB1/IaG8rVoBD84LREJAhI+YUEclrQdfSgX7YK3TidOduGvq0HeXAYeXAY801XaqqBxN/9c/RsQikrwX/VZyEzPczmaOOIBVms2SNksWfPTJFNR4STJxAcKrKMP78Af/6+zNaImSXHJ86nKzGd7O4W3CuO13Q32mtDx64oFS/y//kIhQ8HK170fPs+Bq+7MUwvuVyocXGHbf4Ziwr4vxd38cK2FhLjjKydm4MkSRRmJLBmTuT8F7xW1carVW1IEpy2MJipHG2pFuCnv/4jd3zrHurrarFkaTdybmkYmx2Ltgfgv/7xMO+98zYAqQ8/xkmnnhGm37HlPRz5mZSU2ia04WDRmS3Ely07ah/mvh/fG8wMTcqDyKQURUHq7B47LcoL16sqhg0fII840QH+Ky7WXF//g5+jZmWgTzHC2UVgEEu/AoHgwAgnTyA4yviKS+g8JwPjBLODo6tPQPL7MdbVMFIxl4QIfXyDPXTsz4lwBoCs228k/rWXySoqZfie+xk9foKyIhMwJz+Fk+fn8XpVG/98187etkFOqMzBbNCF2iiqSnXbIC9ua8HeFYw7vHi1DVtO0gGTZmRZJje/gNz8gqjtbr7rB4x0NdJgr2NWlGof9XVjDnCpbZZG/9N77qC1qR6AZ19/l1mzw2cK+/t6SUlN0/Q7pkRzwGUZ94dvI7V3IjU2oyZE7M3Y24884gRAtcRDVma43uHE8Js/A2DQ6XCfHb7Ui9+P7pkXUEqLUUuLJtwEWiAQfLwQTp5AcIxxnHMejnPOA2Cg16Fx8jw5eXjLyjE01k9Y8k3nGCFx13aG9NrZnOzrP4/sGMFrK2fgmhvAoN3+ZVlZBjnJcTy2wc72pj62N/WRbDGSm2JBRaV7aJS+kWDcol4ncenacpbbMjXXOVTK58yjcO3KqDpVVfnctTdQX1dLdU0NeQWFYXqv10v7uK1vCgqLw/SKonDSigXIOh0lhXm88cRfsMSSsyPLqPm5wUoekSXfkhIZfugBzIMBGHFokn2khrFxKwXZmlk8ua0L4413BvV5OXjefSn8+m43DA0feHdygUAw4xBO3iRzsIkXmuD/Q5DFUrLDVMmO5PlFk03GNQ96fFfcTuU3v4vk86LKOhhX8QJVpaBnrFh7fWoe/ojEkLVvv4FxoB/Lay+z+1OXsyvgD7u+7cf3YdLFsXDRApJOXM329hG2N/Yx6PQy6BxLREiIM5CbEs8pC/KxjNv2ZjJfk1MuuCokax90h7UbGuhn0coT6W5tIBAI0ONSwOUI9e/qaGN0NHjc3NpOn0uhzzX2bGra4csXnElJcRFzKsq55UvXRk3aOBLZEVX+MA4ROH7ZvocSnrQhqSMoN10ZTPrARSDCSQxsfGvsOC8Td2dd2D30m3eQ8OXvYIoz4Tt1Da5v3hDSRQvSP1jZkfYXCQJH//lNxjVj6XlNZUKLSLwQaBCJF9NXFmv27Je1bNuDrreHga1V5EZUvDAM9GMcCDpcijmOzHmzqOx3hfpKLheFf/09RaqKqtNhqWtnbmkWnz6+lM11PVgNMkUvPol/VgXJiytpUQxTPt4Q6VZ++JuHKUy3EggE0Ol0YW0HmkdISExkZHiYgrIKTdJH4+4emlvbaG5to6t/mNvuC0/6aGqo57e//AmpOUWsCSSzas26UN9oyR2Hk/Bx2LJsGyw4DgUIRKkI4S9fQODUXiR7A9L8+WEJJgC6/uAXmTzqQWdK0PS3vLsH/c9/i1pWQuDc0+H4OSLIfxrLYs2emSKbjggnTyCYbkgSgYxMBpceR+RCrD8hkabXNmCsq0UeHICIjYkNDXakfUt2vsIiVJMJAJ0sk5tqoczRQ/F9dwSvlZlFy6sfhN96dBRzazOkVMA4J+tYo4ty74VLlrFlTxN9vT3UNHVq9M1hSR/aeL/dO3fwxD//DkDtztPDnDwAe20N27dtocw2a1/SyNSNPxL/0nl498fpRVmSlUZHURMTkIZHUMuKtfoaO3JTCzS1oMybA8fPCdPrnniG+DfeQJ63gMBJa1ArtGEEAoEg9hBOnkAwg1D1erxzKvHO0SY1AAQyMum+/4d4du0mPitdozfU1YSOveVaR8i8bQurLzwXxWTCeea5dP76jxEGqFFLjh0rJEkiPSMTl6SNxTv5zPM44fjjqK+rJT0jQ6OvHzf20jKtE/P2G6/w/e98E4BLLr+aL3z1vjB9Z3sbnrY28lJsUZ3QY0aU5++/7mr8116FZ/cWTLnascn1jaHjaE6g/PZG9P99Df77GmpiAoEIJ09+8TUkhyOY+DFbOIACQawgnLxJ5khi8mIp5m2myI40Ji+WxnJYMtkCn/gsuxb3U1mQGrb9y66WfpIwoT/9XOIb6hgoqdBcL2/7ruBlPB4cflUTp5f13H+w/ex7uEpsNB+3nuYvfPEj7ZuMOMlo96ntdlFZUMy8zGIg+B4c367yuJO48RvxfLhjF7YFK8Leo7ta+tmxc3foPCW7SHOP3/7yFzz+yO8xGo184/abueTCTwFjsXvjl5inLBZwwI6algKdveHtvvFFdJefg9zUhr80XROTZKjeGzr2pBjwj4sJ9Pa2YP3dHzFsDf5tjPz0m3grwpN0dHvsuAcaYKUSNrscS3FY01F2pDF5sTSWWJeBiMkTREHE5E1fWazZcyxkSYsLGT7lRPYXa6uM+FtNMkp40jIw9fVgmDdXs9FzWmcz5u5OzN2dlM1bhC/iHtnPPE7BHzfgs5XjPOV0PPMXHpJ9kzHmsY2il3Pi8csnfH+6jl+F4nFSX1fDiiULKYjYBLunrREIZgGnlswLxQTuj9279dqr2bblfUpt5Vxyza3kR8QMHmzc36TFAhZXwtrgIrQaEfcX+M438W5+F2O3A/1xJ6BPTQnrr28ZWx43LF+N0egO62/69M0kNrWgmv6E58V/o46rDWzOtgWzf83mw7NbyDSyWLNnpsimI8LJEwgEB83Q56+l6rxLKdb7o+oN9eNKgZXYiNgSmJT3N5D4zL8BCKSkhpy8/Vifexq5v5/kjHzk1cehJGi3f5kqLrjkMi645LLQeeRsfFJSMilpGQz09VBSpv2CqLfX0NnRRmdHG5dcc6tG/6Nv345RUoJO4OVXk5auXVKeKpSVy/AUJyNF++JTFPyfuRDJ3oDc1IKalwM9Y3V+cXuQWtqCx14vam62pr954QmoKUmoZSW4v699NgKB4PAQTp5AIDhklIhyY/vp/NUf6LvjWxjrahjILycrQm8Zl/wQbQ/ApIf/TPw7b5EFtD/0D5ynnxWmT9z+AYbCHHzFJTFX8eHHv/o9zb0OkvR+LNaI2TdFobW5OXReUFIWpldVlXdff5GR4SEALrj4Us31f/nj75OZnYMlPY/cU05Cr4+Rj29Zxn/7DRPrh4ZRli9GqqkDqzVsxg5AautAcruROtyoPh8YI17X/gESrvwqzJ6NWjkb/zVXTsIgBIKZSYx8SggEghmBwYCvzIavzIYnSjxqzZ33UNjRiLGuBm9EtQoAw7iSb94oGbBz77oNS6MdVaej+dV38FaEZ4HKI8NTPvsXWW8XgpVA3t9VT0tTI02N9SQkhrcZ6O8LOXjx8RaycnLD9E6ng1/99AEAdHo9Z9g7wvR+v59nXnqdWaXFlBYVYIx0lKaSrAy8/3ooWPItMVejlto6UPV6JL8fZdwy7n5kewP6vXbYa0epq9c4eVJjM/pH/oliK0GXbQluNyMQCADh5E0qByr/FKmLiaD8j6lsoiD/WLJxxshSihlesARO3yeI2OhZuvByLA116Bvs1MenoY57n0g+H2UtwcoPUiBAfVwaSkT/dStno5jNxOcWUfPnf6GMKzEWC89Bn5xD2aIcTTuvV+KmBx5C7+rB5XTQ0ucM61u7uyrUNi07n44hD+AJyfZs2cONN9wCQG5ONq8/+5+wBA2v14tr1I1r4PCTO5RBF7Je+5nmHfRhPNhEENsyQgGf42Sut/6B3NaF5PFqgt6NWzdh2nfsy0vHHbFRtOHtdzD/6a/B+y4pxz03fIbY/c7LGAKbCBTloeRng14fUwH9k5EgIJIsROLFfoSTN4lMFDguEi+mhyygKDT3OthW34PHr2DLSqQ8NymmbJxpMvXrX8dB9PeIrq+XgeNWk9hkB0kivzAzrL++vQ39qAtGXWQqCq789LDtRPTDg6y86FS8tnI8lfMZuOWrMTHmIFY+ceapE7YzlBVw653fwl5Xg8maomn3rn9s5q5o30bQ4xM0tr3zFld++jySU9I489zzuOcHPw21P9jkjlZDYVT7uieQH3IiSP5sACyRmz1fkslIYS6mQR/k5YbpzNk29H0vh86lykrNPUyNTxH/4G8B8F9+Mb77vxl+394+0OvBtiymgvxF4kXsyaYjwskTCKLgDyg8vrGepp6xGYrG7hE2VHdy6zkLyE21HKC3YDIIpKXz4W//HnQovF6NXt/ehmKOQ3aP4iyxafaLi2+wY6reg6l6D8YGe8jJC/VvaiTltw+iZBdiXrkC93GrPtImh9vH61VtVDX3o6oqeWlWPrWimGSL6SP7Hgo5eflcf/NXgOgrBOa4eNasO5n6uhrKouxvWF8XXAYfHOjD7R7V6J998nF+88ufUGor5/Szz2PBmtM1baaMpET8iyvRT/ClGzhxDej1SPZG/AvnaLao1jW1hY6VshJNf8P//RH9n/+OKSUR/7fvJHD+uUfTeoFgShFOnkAQhXeru8IcvP2MegP86107t5yzYAqNqnxcAAAgAElEQVSsEoQwRubtgnvZCux1bejbW+lq6SYtQm9ptIeOvWVRNnqu2k7yw38iGXCuP432CCfPUG/HVLUdr60cX0kZTo+Ph17fS8/wWI3dzsFRatsHue3chaQnmjlWLFm5hk+ecwYQTPKIZGRkGJPZjMftpjTK2Kv37qa2eg+11XsoK5+lcfKeffJx3nz7fyyYN5fVJ5wU1ZGcKtTFC/AvDr4ffZ11GicvUFZEYO0qJHsDqk3r5En2YCawPDCMGq/dRNtw89eR91SjlpXg+/IXIU18bQqmD+KvVSCIwgf1PRPq6jqHGXR6jvpsjeAoIMv48wtxmlM1Tl73qWdjXbIQo70Wf2a2pmtYtY8omb+W114i4+5vADB02VW8d8Z1YQ5e6kgwfq5fTeGZzY18bv3sozCgQ0eOKGUHcN2Nt3HNDbewpaqa0tzIJxNR7SNKwstbb7zCM4//k2f+Cfc+8DONk/fGqy/hcjopKbNRZptFDKV94LnkHKRbbpm4gaxDNZmQPJ6w/ftC6t17kWvsUF2H79qriPzaNNz1PSTnIPL8hQQ+dQ4kJx1V+wWCI0E4eZOISLyYHrJoiRcjoz6NbDyNPSOk7msTS2OZKbJJSYbp8xAoqICCiqAgouJF/9K1DNx+F56duwhULqM3ouJFxbiKF105RexsGQi7/gUbnuTCd5/EaYrjj2d8gcb5dyDLUlhiyP4l5Kl6rn2KhWwpXlPN44Zv/ZDzLruWlkY7ubMWafru3TtW8cKSkR/Wv3PQxa8f/DnbN28E4P5fPcyc/HBHsrrWjtfRzzxdFtK4ZfQpq/wxTub+wa2gKLg3vY453g/jqnk4a94nuaEpdD5qVcKvp6qY/vMMZocLnniRweXlqO7UsHuY/vYUSlY6SlEeTnoPaMvRkIFIvJgMGYjEC0EEIvFi+soqcpPpHtLGLgEkxhmYX5iKbtyMSazYPdNlk3qftSth7Uq69r0/CyPaGZYtxTHYi9Feh2XxAqSmcH1BbysAFs8oDlM8eWkWDDo5dI+sG76I+cMP8JaVk/C5G0lZHHmHqX3Wc0tygbWA9jPqzm/czXtbttLf0cTq5YtJTQu/RntTfeh45ZIFYM0IS9y46cLLaGqox5qQyBPPvx7aLHp/goff7w/t+zdllT9WyVHbube+hVTfiNzcitm2EKyWsXbdvciO4A8SNcGKqXJ5WCyo2ZpD3IOPBPUGPYE3Hw2/h8+HfksVeikJMsMThUTiRezJpiPCyRMIonDyvFw21Xbh9Wvjm05fVBDm4Ak+HgxffjXDl18dOi98voqa9qHQucdgxGG2YHU7UWdVhBy8/QQTPuoxNtQjXfklzfUr7vs6CToVr20WIxd/lkBa+uQN5hBZc+LJFM5bEdVBVBSF8y64mPq6GpqbGskrKKRtYOwHktfjoaWpEQCnY4TsiD0AFUVh+dwS0jMyKC0r56s/+DUQ3cGfEhITUBfNJ7AoyixOggXPnx8ksG0zBkOCJtlHqm8MHavFRaAPjxiUGltIuOFuAJRZZXheeTL8+j4fqGg3iBYIDhLh5AkEUchIiuPi1WW8uauDln1LU1azgRXlmZwwN3JBSPBxZNWsLOq7hvEHVAC+e/HXQVVJdQ5y6dkrwxsrCobGsVJfruJSIrdMznzlWYyDwSVgx3nna+6X8uBP8WfnkJiWByccH9z2IwaQZZk77rp3Qv3g4ADzFi6mrraG1JQU4iKSGzraW3E6RnA6RhgeGsJoDI91Hejv5+YrL2bO7NnMqZzP5Z+7ZlLGcVjExaGsX4enMi96ybfEBHzXXIlsb0DNz9Oo9yd9AKjZkfVhQH5vC8Yrv4RamI+0dgnqffccVfMFM5/Y+JQAJEnKB+4FzgDSgA7gKeAeVVUHDtRXIJgMclIs3HHeQnpH3Hh9ClnJcbQPuMJiigQfX7KS47nprPn8Z1MDjd0jQPDHwYVnVFJRkBreWJapr6rD0GDH0FiPPyklXN3XF3LwlHgL/ojZLsnlJP37QUcqU6fDHlHxQvL7iX/jVby2cvx5BRBDM82ZWdk8/txrNPWMkGIMaPStzU1IkoSqqlGTPurrati1bTO7tm1m7rwFGievuamRf//jEUpt5czOslCYvmjSxvL/7J13fKNXlfe/j5olWW6y3G25e+zx9JqZTEkymRQSSEgBQifABl6WtiwssEtZYBeWsgvhpcO+sAsJhIQQ0idlJtMyvdsz426523KTZKvref+QLVuW7GnyWJq5389nPmOf+5RzH9ny0b3nd86lIpeY8f3z56YM0/L9AFCr8NVWorT0IJeXRJwvNbUi+f1Ire1ISyqQZ4yrX9mL5q/fRC4vwX/7LQS2bY35HASJTVwEeZIklQP7gWzgGeAcsA74NHCHJEk3yrI8uIAuXhZCeJEYtotN8u8eHo8rv683W7z5U9cxRG2RkXdsDJZTkWVo67eRotNECBtCZJdAdknE9RRumVPf+gWLx/pRjo1hGRoPO9dwro7JdaLR3EIsNg8wVSuw88hpbvm7BwAYLyzmzRf2hd1D8nqQvD7qBqfUwLF4BpdybH3nMLVFRkZmPJvaqpU8e6CBLksrXq8n4twjJ6a6feQUloae7eRxO/fs5xc/DhZ3XrN2HYt+/sOw848ebWHc30ZpSTH5uTkoFIq4EHwAUFvA2JcfJLl8NXi8oSBw8jht+1RQ6DTIyDOCRNWB/SiPHIcjx/Ea1Lhqg6uFk8IL9Wv7UTa0EijOx5XhhxmlH+NJ2BDvNhDCiyvhpwQDvE/JsvzjSaMkSf8JfBb4N+BjC+TbZSOEF4ltizd/hC3+/JlpM2jVl93xIvC2u1CYDMgQJvowmwyoSvIY/Mzn0TQ3Yk/NjLieyWWd+qakODQ++b9u324KH3wbG3LycN31Vga+9d2YzDcW5wdtBqqKsoDI98d3PHA/2XkF2Ps7MJeUho2ZTQZsfZbQ92W1q1DkhfdE3t38Ir/4wTcBeM8HP8rX/v17YaKN4aEhkrRJBCoXSPAxl+3rX8X5T59HamkH/2jEccrRqZVR5fJVEd1A1Ad/jeqZF4KGL38cxYzzVYdPoTnXi1xeilyQF1oBjiexQzzZEpEFD/ImVvFuA9qAn8wY/hrwd8D7JEn6nCzLY1fZPYFAIFhwfIVmhr4QbMdlsToilL8BjYbxGzaiaWqMWuhZM9HxQtvXg8duixg3/O1pMn76IzwVVYzdeRes3xbzOVwuGUYjqzdsmTXA3LBpK36/j5amRmpXrIkY75hWBLu0rDxi/Gc/+h6//dXPyMrN54v/8q+89b4HY+d8LNDpkGurI1bxAMa/8HfIj3wEqamVwOrIbWrFtJy/gLmAmZv42t88gfp4sDSQ+7c/IXDz5rBxydKJbJqReiBIKBY8yANunvh/hyzLYVJGWZbtkiTtIxgE3gC8NteFJEk6OsvQwlQlFQgEgqvA0MatdL3truA3Pl/EuGJ4CFmlQvL58ETJe0uqP4P21Am0p07gKyyKCPIMz/6Vyr37SFpai3PjZrxRgqWFYs36DayZ6E4SLUWmsLiMNes30NrcFDXnr3kiAB7o7UaTFNlJ5Uuf/QTnz9VTVlHJRz7+KfTZJbGdwBUgZ2cSWFYBm6O34PN9/GGksw0omlvxlxZG/MFXtk21fJMryiLO17z7oyg6utDkmvA++b/IRTPEI9NqPwrik3gI8iYqk9Iwy3gjwSCvigsEeQKBQHDdE0V1O/yZzzP8ic9gPVFPjjlSxam5ULePV18i9c9/BKD/O//J6IwgT7/rdSSXE095Jd6SyNZhC8k7Pvgx/vEfg31/ZXmmdAH8Ph9KpRK/3x81CDx98jgN5+o5c/I47/vQ3zGz8dm3//WfkR2DrF5Sxf133UZ6Wup8TOOy8N99O9wdbFEXsRLo8+Hdsg5VzyBSZ3dwu3Y6LjdSZzcAiv4h5KwZJX38frSrb0IuyCdQXor3e0L5G4/EQ5A32QNmdJbxSfvMigMRyLK8Opp9YoVv1aW7dmUI4UVi2Oalu4KwXRfCi4SzqTKoVRpghvhB/YVvkfzAB9C3NTNUuTzi3OyzUx0vOrIKI8QTK3/4A4yH9gFw4se/pa4s/O1W39pMk1MJi0vmd36XYfvGT36P1+thz+HTKFNzw96bT7cN0Noytd2rTs8LO1eWZf782O9x2Ef5LbBsxWpyvMFN0UmBxu//9CR5OdmUlhSjCbgonGfBB1xCx4t3rCW5YmKLu78l7DhFTz+aojwUXb34TWm4RsKv6Tr4OtLgMNLgMHR24RpsD7uHNDyK/pv/F1WaisC6G/DcOaX8jSdBhRBeCC4bIbxIbFu8+SNs8efPtWLLMxmgqhi4lWygdsZ71Njnv4j18DGyetrIWLuS1BnXSLVMdbxIX7WM2hRj2PnF9z7MhpZmfJkmOp95OWy712wyQCAQVvZlIZ6DeuPqCJssy7xx+DStzY10tLexuKwAw7RnYx3ox2EPrkMkJxvIXbYlVGIpoDYzrpX51neDyl+1Ws2zBxpQ5E2Vz/H5fJypHyBFl09a+tQ6xpUKPiAGooPcCjx7XgKPF/fZoxHHqaRjoa/lqorQ+OT/ivYjaPYdRQMEOuwoPvThsPN1Hi3KF3YQKCtFrq6EijVxJbIQwovYMblSN1tX50n7yFXwRSAQCAQzGNt+B5aVmwhECygCARxveSvqpkbU7a14i8wwMq1Ui8eDeqLjhWrQii83L+L8sqXl+HLy8FRU0vH1/yReOl5IkoTJlI0pK5u1N9wYMa7T63n0l7/j2Kkz6JRyRA3NtmmrgOaSMlTq8M4VlrZWPvW+ewBYvGQZf92xO2zc5/MhSRJKZXinjKuKRo2cE9l9xXfDSpxHdgbFHYrIvDypuS30daA8cgtfcewk6m8Hy934b7sZ5zc/GX5+Vw/K+vOgy4Y42gJPNOIhyDs/8X9kMkSQyQSR2XL2BAKBQLBQKBQRJVmmoxwaxLOoBlVzI4GsbOQZHS9U3V0oh4dRDg+j6utFntHxQjE8zMqPvg9FdTXu2iXY3vvB+ZjFZZGcbOCOu+9h8Q3boq4WJicbeO+HPkpLUyPmKLmKLdNyITOMmRHjB/fv5ZEPvJPSsnLWbN7O174eR3lvkgRZmQSyIv0G8N+8CfdPv0/gxBEUa26IGL9QEKh89kVSJ4JA78c+hO9Lnw0/YGwctEmwkAFwAhAPQd7Oif9vkyRJMV1hK0lSCnAjMA4cWAjnBAKBQHD5+HPzsLy6F0u/jVKFO2Jc3T5V5iOa8lfT1IDx4F44uBf34sggT9XRTuqf/4inogp9XinEUceL0vIKvvpv3wt9PzMXW5Zlyqpq6LK0UhZF8NLa3IjH7eb82XpKFkXmg7382k7++szfqCov5c5tW7jtpk2xn8TlkpdL4K5cXKvLom59BtaswPeBh5CaWwksq40Yl5raQl/L+ZGZh+rvPory8SeRS4vxP3wfvPPa2F6NNQse5Mmy3CxJ0g6CCtpPAD+eNvyvQDLwi0SskSeEF4lhE8KLxLDFmz/Cdonnd41AkTFC9MGiVTTvrUPf1owUCEScmzet48WIuSyi40X27v2Ufv/bALjWbaHl14+Fnd9+tI70wCjjpRV4MrNAkuLmGS5aexOf/q9lVOen4XG7I+Z2flqdu6SMvIi/GzsPHGfnvoPs3HcQpUZH9ZJggOsZ8aJROXh15xucb2ymrKSY/EwDy1W5YecvaOePRWtg0YOzH5eiJlCUhbp/FHeGGt+MbiCq+joktwfpXCOunmaUM9TD6i9/E5Xdj7+4APc77iJgzhfCiwXk/xBsa/aoJEnbgLPAeoI19BqAf15A3y4bIbxIbFu8+SNs8eePsMXomiYDlAVrsM0UfSjvfRsnMzLJH+jEX1oWNmY2GTD2T6k+FdU1Efcoqt9P1UR5j+EPP4L1m/8R5ovCNkpAq4MiY1w9V7PJwDe/9e98/vNfoLW5CY86JeK4/mF76OvyFRtD3T761WbMJgM79v+Qv/3lCQA+89XvsPLu8G4gJ05209U6SFlFFaasbCRJumjRx7x3/vjaVxh75CG0WaWoZBnVtNJA2twKlE5v6Hv1hq1oZlxP02JF2dqB+tApeP/7kWcIQ1Tf/7+gVqHO1KFcmQ/J4WkEQngRQyZW89YA3wDuAN4C9AA/Av5VluXhhfRPIBAIBAuDPysb603b0c8SYDrXb2D4Y59E3dSAbdlKtDPGk1unVnh8xSUR5xv/8z9I/80vKCg0M/rFr+C4574Yen/lpKals3zVmqg7Qx///Nd4/wc+SEtTIyvWrI0Yn57zZy6JDFp++9Pvc+pIMBPq1394ki033xo23tvdhdGUdaVTuDJmyblzP/dHGLUhtbQRyJpRxNrnQ9HRE/pWLisJH5dlVP/vD0iOMdSA87a7IoI85Z+fQS4qCOYLmowJW/Q5LoI8AFmWO4APLbQfAsFC4/L4sFgdpOk1pOkjK/ALBIIpnBs349wYbMfVH6XlmzO/CNfK1aibGvGUR+a9aZqbkPx+9O2tjEYJKLK/8Bk058/hqahk5KMfB9PMOywceYVmzCsWc8ttd0Yd/8BHP865ujO0NDVgLouce0frlPq3pCwyCHzvA3fT1WEht9DM7//8DAWF8TN3ANJSkVcug5mFnhUKbI//EO2oH6mrFwzJ4eP9A0iOYAZYwKCHmeIRxxiaf/wKALJGjevswahFxhOBxPRaIEgQ+kbGGRnzkJ2uu+CxHp+fpw60cqChD39ARgJqzUYe2nRtbBsIBAtB+0f+HvmLXwy24IrS8UIam1ohi9btQ3v0EEln69EdPoDt3e+HGdVEMr/9DVROL7qlixm7/S0EUmerBnb1uef+d3LP/e8EIvPAfT4fqzdsoa+zla4OCwWFRWHjbpeLTks7gUCAbksbJlN22HggEGDrmiXkFxZRVlHJ17/9A+JG56pQEDDnE5hty1WrxfOdryE1t+J3DEes0inbu0NfyyXmhA3wQAR584oQXiSGbT6EF4eb+nlsTyOdg1N6obwMPe/YWE6SWhn13GcOtXG+e6ocpAycsQzxX8+eYm1F5JZJPD3DuEvyFzbxmlykzfLLJ1A4nfQcPE5uWi7ytPfm+rYBbppW664lI7zjBbJMye9+g9EWLPe6d8ch3LnKsHvkP/kHXLn5jJdWUOef2RRtfl6TaO9p0Y5968e/Rm2REVmW6Rp2hh3X191JVm4+fd2dGLPz6XP4wDH1bPYeq6Onu5Oe7k6amxp55Iv/zui0ewwPj/C1b3+XrLQU1qxdx523TfVDXlDBxyQ3L4eblzPWdITkGSuB7r5Gku7YitLShb+0CNfEuBBeCMIQwovEtl3u+V5fgOOtVkbGPGHH9AyPs+NkB5+4Y0nEuT3D42EB3nSsdhcqpSKunk2ivSbCNn+2ePPn8mwGArqNFM08Tpax7DmCprkJlaWN/LJCfNPev5XWAdQTAV5An0xObWXYqlCxDiq+8U/BS6lUuA82ht/D58NwtptMfSayPnxLcaFfE7Opmj1HzuAcH+dkQ2vEcVqXNfR1ZVUVZpMBCytCYowWy352vLYLgBONFu76wFSx44DaTI9riNdeeoHSikoqq6oJVG6LD8EHwC1vIfDuCibruc3M80wkRJAnEMSYaAHeJGc7R+iwOiL+mLT22ea8ZtdQwlUQEggSH0nCV1iEb8ZW5iQBrZbeH/8C56k60pVyxLafpnlqhchbXIo8o+OFur2N9e+8AwDn6rV0PvvKjBsEgtdcwKR/nV5PfmFxhH3Nxq3sPHSK1qYmFFFyGVubpuZeFqX+4fHDh/jWV78IwLbb7uRL3/9V2HhvTzdNzR1krVqKTh+5Aiq4OESQJxDEmLm26QHaowR5Ws3c2SwaVdxkuwgEgglkQwr2+9+JZWv03ZmATs/oez6ApqkBT0lZxLhmmvpV1kUGMrp9e8h/+D14KipR3ngL/n/5SmwncAUoFAoKCs2zijFu3HoT3/vxLzh+qo4b1q6OGG+eNvdoQeBzTz/Jd7/1VQA+9qnP8Q9fDJ+72+VCk5QU0UpOEI4I8gSCGKNPmvvXKjnK+OLCDLRqJS6vP+o5NQXpUe0CgSB+8VZW0f+9H00ZZnwAlHxexorL0He2R+/20dyIYsyB9uRxtCWVzFzPN+18mfxnn8BTXsnYLdtxbt46D7O4PCYDwJWzBMDLVqziwXe/n5amRhYvXR4x3tLcGPralJUdMf69f/saT/3pMcoqKvn4B97FB++7I7YTuEYQQd48IoQXiWGLtfAi35gcccwkWrWSVJ0morI9wPblhTx3tD1CALhhUQ79Nud1/zMTb/4IW/z5k3C29duo++lKluQaUDqd+Ga8L1Scmwp0WjPycc14D0jdt5/kV18m+dWXGZGVWGqCK2aT72mZb7xKcnMD46XltBpLYXl4ILmQz6F25SbKV26a9TiVPpXsgmKsvZ2kZBdFvGfWnT3HmMPO6RPHaLvjjoj3xy//688YtI1RVlLMux54O8VFhVck7gBYFGcVZC4GEeTNI0J4kdi2yz3fbDJw85J8dp7pDjtGqZB4/01VlOemRj3XbDKwuDCDF45ZsLu8pOs1bKzOZXFhxiX/zHj9ARq6R7A5vfj8MoN2FxW5aaTo1Bc8N55t8eaPsMWfP4loixB8TBzn+fZ3aPnc54LburrIjhxpg12hr3XLaiPeh3J2vUDqU8GOF0lf+Q7KbavCzk89eZTcQB+eikoCaelh58Zyfpdj+8Y3/42PfPpL5KZqkCQJtTr8vcsxPBD6ftEN20PdPiY5dt5CW/N53ti7n7ve/VEUeYvDRBs//eH3UKs1pGQX8bblxeinCV9mE3ckIiLImyf8AZne4XEkhUR2qlbkDVxnrK3IZnVZFvvP9zIy5iEnXUd5birLijPnPK/IZODOVeZZ/5heiNFxD88cauPNhl4cLl/YmEohsbLMxOaaPFRKxWVdXyAQXEUkCX9WNs6s7IhVPIDmT30J/zvehaapAdeqyI4XmqaplcCx0nJSZ4xXPPodMg6/CUDXY08xftO2sHGldQB/hvHK53EFaDTRC8L/7dV9WAf6aW1uxFRUEjbm8/noskz1/S0rD1fPyrLMb37+Y+y2oODtli3nwoI8COYEFpqLKauoJDUtcdNlRJA3D+yq6+a/Xz9H30iw7lBOmo77byhjcVHGAnsmuJqUZKdQkp0S+v5Cgowr5XBTP7/f3Yg/ENzvLTDqKcg04HT78Pj8NHSPcrhpgMNNA6wqNfHBmxehUIgPHwJBojJeWo5jbWQ+2ySj738Y15lTaJoaGSutjAjy9NM6XnijCEMK77kdVXcXueZSrH/486wq44VAkiSysnPIys6JeG9VKBT85PHncQ520d3ZgSElfObWgf5QgKc3pJCVnRM2Puaw8w+f+AgAarWak809Yb1zE4nE9DqOOdDQx7f/cjzM1jfq5Oc76vnM3Uspy5n5ayYQXDkHGvr4/e7gp/aVpZncvKSA0uwUJEkKbfVa7S72ne1l55kujrVaUasUvHdLpVhlFgiuUWwPvS/0tXfmh0yfj5FV60jvaEHV1Ym3KDzhTHK7Ube3IQUCGJrO05c5o9VHIEDxptX4CorwVFQy8PV/n69pXDIKhYKyqhrMpsjVTQCNJomvfOu7tDQ1Ynd6It4DO9qmgt/i0vKEDfBABHkx5w+7G6PaA7LMM4fauH9D8NPS9Z5EH0+2+eh4cTVtvSPjPLYn+HNXXZDO9uXBT9sdE902pp+7ssyEKVXLE/ubOdjYT3KSijUV2XExjwvZ4s0fYYs/f4QtyMV2vKj79L9TW2QM1uOb0fFC29VBUUYmSYMD2LLzaB/zw7QWcJbj9WhamtG0NKM6cxrLZ78Wdg/V6DCLvv0V9MYCxteuwnrz7fM250u3qdj6tnezdcI28++xZdDJltvupqO1CXNFdWi8Mi9+WtZdLCLIiyEen5+GntFZx7uHx4JVwYXwIiFs8ebPbLbXTncRkGFTdS4bq3MxmwzIskx95zAnWgcZGfeQqtOwtiILjUqJ2WRg3O3jmcNtHG2xcs+6EpQKxYLPYy6bLMs09dpo6bNxpGkAl9ePRqUgO01HVV4aBcZklDO2nuPB7+vBFm/+CFuMrmmqwXK6EcXICP2NbRHHGad1vPBXVoXGJ//Xtpwh94W/kgu4TixD/+D9YeeXuUfQ73wVb3kFnspFUBQpLInJPC7DdtvWDXzk/u0RxyUiIsiLIUqFAo1KgccXiDquVYvHLYgttnEPJ1qtSBLctqIQh8tHICDz253nOdY69SZ8tnOY10938em7lpKq11CVn0ZOmo6+USen24dYUWqa4y4Ly+n2Qf52pJ2e4cjViQGbi7qOYXbWdXP7iiI2VeeK7WeBIIYE0tMZL41sBTa87kbadh9G09yIHEUcMb3QszdKDUDt4YPkfOEzADi230HrD34dNq7s70Pf1g2ptTCL+EJwYUTUEUOUConNNXm8dror6vjqsvj9QypITI62DOAPyCwrNmI0aHG4HLzZ0BcW4E3SN+rkyQMtPHxLNZIU/Fl98kALBxr64jbI21XXzVNvtiADqTo1tWYjWxfnoU9S4fYGONc1zOunuxkec/Onfc30DI/z4IbIBHKBQBBbZLUab0Ul3orKqOPOjZvp+96juE7XoVkfRfk7rdhxtELQKU89Qdk3v4KsVDL0yX9g6Av/HH6AzwcJnCt3tRBPKMY8fEs1ZzqGQsraSfIz9Ny2In6USYJrg0G7C4CK3KlckYMNfbMef6J1EJcnWFqlIi8oAhp0uOfRw8vnSPMAT77ZAsDdq4vZvryArqFxCjOntlbyMvSU5aTSN+Lksb2N7K7vQZ+kumCpGoFAML94S0rxlpTOmp7kXrwE2/3vQNPUiKd2ScT4ZBAo+f34jZG/z6Zv/AspTz+Jt6KSsfd/DN5+T+wncQ0ggrwYY0rV8n8/vIm/HWnntdOdKCSJitw0lpdkYrW7wB48Tggv4seWyMKLIYcHALvLi8XqCIi1C2oAACAASURBVNrGZg/aAhO5bR2DDvIygr0ynW5f6NyFmsdMTrZZ2TVRTPrmJfksLsqga2icuo4hvL4AdpeH5CQ1SWol9Z3D1BYZuWdtKX852MJLxztwenwR14yn+V0rtnjzR9iCXLTwYiFta28K/pvlOI1Kh5SVR+pAD13ZRQzN6HiRcfYcqkErqkErXdseRDvjb2rG175Mmt3KWGkF3W9/J67C4it+rkJ4IQAgVa/hvVsqWV8Z2W8PRMeLRLHFmz/RbC5PsNetRqUIjXcPjXG8dTDiWIAUrZqawnRS9Rq8E7mjKTp1RNL01Z7HTNvJtkHcvgCl2Sncf0Nw+9XrD/D66S5ePdmJ2xdAIUmsKjOxYVEOZpMBs8lAz/AY+8/34XD54mYu17ot3vwRtvjz53Jsnu/8B4f/8SsU6yVSlCoMSUlhx6X2TXUUyly7gswZ18s7fRBD03kAlPfeg3vGe1z6Tx9F1mgwZheRUn0Lsk53Qf8SEVH2XiBIYCaLLR9ttiJPNL29eUkBs2kPbl6aH1LSHm0JtgUqzkqJfvACIcsyxydyCrcszgvZ/7C7kSPNA7gngtOALHOkeYA/728OFYDeXBM8/kz7IG6v/yp7LhAIYo2sT0aeFuBN0r7rAK0HTwY7dZhLwgf9fvTtUx0vvDM6XiDLGH/8A7K/+kVWfuw9KEZHIq6f/OKzaM6cQhqPvtOTKIiVPMF1iyzLTMQGCcuyYiOpOjW9I+M09dpIUispy0nlQzdX88T+plBrM6VC4pYlBdy6rBAIlvs51NgPTAVG8cKY20f/qBONShEShPSOjHOkeSDq8b0jTs5YBlleYqLIZKDAqKdraJyOQUdYrqJAILiGUCjwFRXjKypGjtJN6Mjv/oLZ2omqs4NAavj7gNI6gHI0WO7Mp0/Gn5MbPj7mIP/DwULSAY2G5qbuhBV5JKbXAsEVMO728dzRdg419uPy+slO03H3ajOryrIW2rVLRqlQcGN1Li8e7+AvB1pCxbZXlZlYWmykuddG99AY6yqzMWiDDb5lWWZXXTcur5/ynFQKMpPnusVVx+kOBqYpOjXqiR67zb22Oc9p7LGxvCQYEGYkJ9E1NM64OzIvTyAQXAcoldiXrMBu2hR1WFapGfjKN9E0NeBweZm59aFvbwl97S0uTdgAD0SQN6/M1atUCC8Wxnaq3cqxZiv9NlfI1j/q5L9fP0/H4Bgrp5USiSe/57JV5KWRfr6PjsEx/mdXA+/ZUolOE/zV1iepcPv8DDncDDncBGSZnWe6OdE6iFIhccOiqb6PCz2PSUYnhCMeXyDkm83piThvOi6vP3Ts2ERwN+Rwh/2excv8riVbvPkjbEESQnixoDY1PPihkK12xt/j/n47pVu3k9zWhL20UnS8EERntsRNIbxYONuJ1vAAbzr7zvVy58oiNCpl3Pl9Idsn71rKj58/zZDDza9eOcv6ymw21+SRkx5MJs5ITuJAQx97z/UwaHejkCQ+ePOisKA2HuYB4E7TIUkw5vKSpteQptdgStHyysnOWQuN31SbR2GmAX8gECoJU5GbGlZuZSHmcj3Y4s0fYYs/fxLOdtONjDxwOyMAsow5gQusiyBPcF3R0jf7tt+424dlwEFFAn5ay0nT8bl7lvPLHfV0DI7xRn0Pb9T3oFJISJKE1z8VHGWmJHHrssKIAC9eSFIrqcxNo6FnlP3ne7lzpRl9kooHNpTx2J6miOPXVmSFgrlT7UPYxj0YDUkUGONrG1ogECQgCRzggQjyBNcZF2x5lcC/zxnJSTy0uRKFBHvO9nKsZQCnxw/IKBUS1QXpbFmcR01BBp1DYwvt7pysLDPR0DPKvrO93LKkgCS1ko2LcpFlONc1Qu/IOBnJSWxclEOGIai8C8hyqLbeylKTaG8mEAiue0SQJ7iuqMhNpbFnNOpYilYdd+VELofCTAMPbargoU0VeH0B2gbsVOSmJlTQYzYZyM/Q0z08zm9eO8dHb61BrVJQZDJwY3W4Es5idRCQZZ58s4XmPhv6JBVLzMYF8lwgEAjiBxHkzSNCeBF/NhnIN+rpHopMTN6yOI+e4Sl7PPl9Jbam3lGS1EqcHh8nWgdpH7Dj9PhYXZZFrTkjVDcvnnyu7xzmLauL+cPuBuo7h/ne306wZXE+tvFgvl1rv42jzQNYbS5kZPQaNX2jThSSxFvXFIfmHA9zuZZt8eaPsAURwov5ea5CeCEIQwgv4tO2fVkhO052cqixnzG3l5w0HW9dU8Liooy48THWNkOSil+9Us/w2JRK9aUTHTT1jvJ/7qgNiU3iyWezyUBW6jJ+9nId3UPj/HFvE5kpWtr6HdR3Docda3f6UEgSH7uthsVFRvE7dhVt8eaPsMWfP9eKLRERQZ7guiNJreTu1WZy0nS8Ud9N74iTZw63MWh3cWNNLop52tac7NBwotWK1x+gKi+Noqv0RvLUgdawAG+Spl4bu+t7QkWS440CYzL/dO8K3qjvYf+5XgbtLgbt0dXRAVmOWL0TCASC6xkR5F2HyLKMzekNFZq9Hnn+mIWXjneEvu8aGuNP+5vpGHTw7s2VMb+fzx/gLwdaw9S9dR3DpOk1fO5tyzAatDG/5yQen5/Tlui9bAGONA/EbZAHkKLTcPfqYu5YUcTvdzdwpNk667En2gYpF10uBAKBABBB3nXH0eYBnj9moX/UCUBJVgrv2VJBXsb1U25i2OHm5RMdUcf2n+9jc01ezFfY9p3rjVq+ZXTcw1NvtvLR7TUxvd90PL7AnO3bnAnSGUKlVJCTpp/zGH+i96kTCASCGCKCvHkk3oQXO052cKI1fEWnbcDOD/52ig/cVEVactJV82UhbR5fAHmOWGDP2R421eTF9N57z/XOer9T7YM09kwJBWI957Z+G2l6DaPj0btGZKXpsFgdcfc6RcPp9SERFNBEw2hISoi5XCu2ePNH2III4YUQXkwigrx5ZD6FF+0DdnbVddM7PI5GpaTAmMxSszGsTMb0cwOyTFu/Pao/Lq+f890jPLCh/LJ8uRRbICBT1zFE5+AYo2Meas1GaosyQnlwVyN5trV/7j6oKTpN6LxY3dvnj96pAYIBiylFG6r3Fsv7TpKenBS1kLBSIXHP2pLQymU8JTnP9vvj88vsru+JsJdkpXDzkgKUiqv3syRs8eePsMWfP9eKLRERQV4Ccripn/95oyFsNar5FRu3Li3g3vWlUc8ZcbgZiZJ4P8n57ui142KJx+fnFzvOcr57JGTbe66X6oJ0Htm+OGb3CcgyLb02GntHkWUZs8kQFvxWF0SqaKdTU5AeM18mKc5KYWCWdmqTrbtihSzLtA842H22h/NdI4y5vagUCgxaNW6vD68/+IOTlarlHRvLr5r4I1Y8cEMZqToNu+q6cbi8qJQS6yqyefv60lCAJxAIBAIR5CUcHp+fP+5rjrrd+OrpLlaXZ0X9o626gMjiaogwdpzoDAvwJjnXNcKOkx0sLc684nv0DI/zm9fO0jsSzDl8/qiFsuwUHt5WTfrEdnROmo4bq3PZF2ULdYnZSHlu6hX7MZNtSws41mIlEOWF276sEEWMgpOe4XEe39NIx2B4Rwuf3w9ePxDs0lOSlcIjty3GoFXH5L5XE4VC4o6VRWxfXsiYy4vV7qIsJ/avmUAgECQ616+8MkFp7bPjnvhjHY1jLdGVh6l6zZy9PFeUXnmAdSH2N/TNOnagof+Kr+/x+fnJi2dCAd4kLf12fvnKWeRpAdY7N5Zzz9oS0idW0AxaFbctL+TD26rnpTNEkcnAfTeUYpy2JZukVrJlcR5ba/Nico/6zmH+uLeJjsExkpNU3LqsgH+5fxWfuXsp333fDXzyLUtYWZqJBLT22/nR86exzZKnlwgoFRKpes0FP8AIBALB9YpYyZtH5kN4caF8MqvdNWvieUm2gf5RZ1izeoDsNB2l2akhn+YjiVWW5TkDitFx9xXf43S7zMgs97BYHew734fdOTW+qCCdqvw0uobGKDAmI0nSvHa8cHp8PLytmr6Rcbx+mZw0HU29oxGrbnNdT5ZlxibUsG3TfhZ6R8Z5fE8TXn+AJWYjty0vRKVU4PEHaOwZRaNSotOo2L68iLUV2Ty2p4me4XF+9MJp3r2pErVKEVdJztESxxfSH2ETSf6JYgPxmsyHDYTwQjCD+RBerKvM4VR79B9AgOUlmbOLBqrzuGVJAa+e6qKpdxS1UkFZTir3ritBqwn/UZiPJNYCo56uKO3EAPKNydQWGa/oHkea5l4N9PsD1BYZKcpMpm/UiW3cgz8go1IqKDAmR10Rmo/nUDKtP26SWnnR5zrdPp4+1ErnRFCYnaajPDeNRfnp/OVAC15/gNqiDB7ZXhNajfT4/HQPJaFUSORn6JEkCbPJgFql4E97m+kbcdI+YOeWpQXzNt9Y2uLNH2GLP3+ELf78uVZsiYgI8hIMoyGJteVZHG4eiBjLy9CzomTubdecdD3v2TJV7NdidUQEePPFLUsL+N83GqOObZsIMq6E1AuIF3pHxnn9dBcjE8HddJ4+0MqGRTlsqsmd18LEl0vnoIM/7m0Oy+nrH3Xy05fqeM/mSpp6bSSpldy6rBBJkpBlmVdPdbHjZAdOT3B7PydNx7s2VVCZl0Zykpq3ry/hV6+eY8/ZHm5akn/V5jI85mbXmW4aeoIfNEqyDOSm60Kt1QQCgUAQG0QySwLy7i2V3FSbh0YVfPkkgit4n7xzSVznJ62ryOata4pRTRMZqJUK7llbwtqK7Cu+/pryrDnVlXvO9jLocEctmGt3edlxspOv/+kIr5zsDMvfiwf2n+uLKtrwB2T+dqQNgHUVWaFae7vqunnmcFsowAPomwgKJ7ekl5gzSU/WMGBz0XAV1NUAg3YX33n6OK+d7qLD6qClz8brZ7p59IUzeHyz55oKBAKB4NIRK3kJiFqp4IEN5dy9upghhxub00v1PJT9iDWSJHH7iiJurM5l//k+slK1VOWlkRwjhWd6chLv21rF/77RMGvng1Sdmm1LC1hekonbG+BYq5Xd9d2hYCggwzOH2xj3+FhZaoqJX7FgrvzOydI4k4GyPxBgx8nOqMd6/QF2nuliU00eSoXEmvKs0Pb9shiomy/Ea6e6GHNFdtho67fzRl0P25fHb3s1gUAgSDREkDfPzPbHOZYdL1r7beiTVBc8Lp5s/kCAzBQtgw43gw53zO6RnabjI9uqOW0Z4lT7II5pAcWyYiOFmclU5qczPhHULS/JxJSqpaXXxpsT6l9JgldOdjLm8rKpJi/qfa62TSExZ2sygDG3j85BB8MON3and9bjGnpGQ4WXAxMX7R91zvs8nB4fbQPRC3IDHGjoY9HEh5XZhBcioTz+xDDiNRGvyfVgAyG8EEQhWvJmLDpeCNscNpOB9OQk9p/vC7XAWlZs5CO31tA5OIbRkERbv532ATv+gExasoaHNleQmaLluaPtaJRK3D4/dR3DvGtTRagbx8z7+PwBPL4A1QUZ8z6/msIMTluiv/EkqZW4vX6y03Sk6TVkJCdFPW6SNJ0mJHI53xWsW5iRnBQmfJFlmXG3j8q8tJjNY3jMPadf8ozjRUJ5YtjizR9hiz9/rhVbIiKCPME1yWTbK4VCwh+QuWtVMQ6nl6cPtNDYG1mG5liLlUe213C8dYCuoXEMWjWj4x7Odg5TW2QMHedweXnpuIX95/sYckwFLXkZejZV57KuMhvdPAhZNtXk0jk4FhEoZSQnkZasoa3fTmufjXxjMik6NdUF6Zzriiw8DcHcxUkmS/KkJ0+JVk62DfLc0fZQ7l5tUQZvX1dKbob+iuYw2dljth665aKgsUAgEMSU+M3SFwguk3G3jyMT6mN/QKY8J5XsNB0/fP501AAPoLnXxtMH29g8sT07KWqZ7Irh8wd4Yn8zP3+5jueOWhhyuFFIoFUrkQh2mvjzmy3882OHePlER0i4UdcxxE9fquPrTxzhT/uaON5qvSxRR4pOw+fvWc72ZYXkZejJy9CzvjKbL9y7nI2LcgDYe3aqg8eDG8tJ1UXmOi4uzGDDxPHDDjenLUMoFRKry4KB34lWK7969eyMeoHD/NdzpxiyR2/LdrEoJIkbq3OjjmlUCrYtu3KFtUAgEAimECt5gmuO1n4bXn8Ag1aNw+XFnGXg+387Qf+oc87zDjf3c/dqM0/sbwmt0k0Wj/7lK/Wc7RwJKpmLM9m8OI+q/DQUkkRrv52RMTd76nto6Bnl2SPtWKwOSrIMPHO4PXR9K/Cb186xfXkh96wtueR5peo13LOuhHvWBc+1WB2k6DSsKc/i6YOttA3YQ6kAOWk6vnTfSvae7eW0ZYhUnZpVZVmsnqZAfv1MF7Ic7HaSqtcwPObm2SPtUe895vbx2ukuHtxYfsl+T2eJ2UhGsobnj1lCgpHcdD3v3VJJbvqVrRQKBAKBIBwR5M0zFyu8iJYoezVs8ZTYGqu5TT7byVS6ved68foCEefMxOeXabM60KqVjHuCgg2Hy8uvXjnL2c4R9EkqbqrNZ4k5uH07WZR4wOYkN13PvetLaewZ5dkjbZxsG+RU22DU+7xyshOzyUBmijZmr8nyEhMHGvr4y4EW9BoVptRgrb9asxEkQlvOXUNBn188ZuG0ZQiJYL6fxergaMsAfXMEwmc6hllvdVzx61SQaeAj22oYHnOjVioY9/hQKKSw34lLSSi/3n534ukZxJs/1+L72aXaFvLe1/JrAkJ4IYiCEF5cfZvVFgxUJmsGXkyAB8Etw5qCdGSmtlOT1ErqO4fRqBR86i1LCMjB+8iyjMUaVLKqFIrQvc0mA9lpOn6xo565NmX7R52hEi2xmPNDm8oZHXdztnOEx/c28pZVZtZX5oRU15PH9Y2M8/qZ7pCI44ENZdxQFdy+HXN7ef1096w+6zTKsHleqc8lBDt/XMrvQ6zuLWyxs8WbP8IWf/5cK7ZERAR5gmuOtInOFy5PZD22udi4KJfRcQ9Oj3+qZMlEpLa5Jo/CTAMWq4O+USf/7/VzoZU8gH3n0vngzVWk6DQsNRsxpWixzpHDdrGB58WiVCj46K01/Pzlehp6RnnqQCvPHmlneXEmSqVEcpKazkEH5yeKHkvAOzaWs3nxVImY5CQ1ZdkptPRHL3Oy/CrU0RMIBAJB7BBBnuCawenxsf9cL/Wdw6iVCpweP5IEF6NzWFGSyT1rS3juaDAnTalQEPAHGBn3IBFUt0KwmPCvXjkboXI93z3Cr149x2fvXookSawsNfHKqegFiQEq82O/7K9RKblnXQnDDjd7zvZwvns0ov2dWqlgbUUWVfnpYSrbSe7fUMaPnj+NZ0YQmpehv6qtzwQCgUBw5Yggb565kpy86TkFsiwTkOFc1/Ccx12vtqMtAxxrtkbWYpsjwFMrFSwrNpJnTGZxYQat/baQmtbrD5CcpGLM7SMvQ4/T48didfD66c5Z67219Nk40NBPQWYyapWEQpKitiIzmwxo1UosVkfMn0P9RMmXe9aVMmh3YRlw0G61k5euJ1mrpiI3Fa1GRV3HUNSC3LVFRt63tYoDDX10WB34AzLLijNZW5HFgM11xf5dSZ7MbPaLuY8sy5xqH0SWZaRpdQ/j6Wc43m1Xmv8VT3O5VmziNbl6NhA5eYIoXElOntvrp7XPxv7zvfSOOPEHZJQKiVPtQ2yqzmVN+VSv0njKW1gI2wtH26MGX7PFeBqVgr+/cwllOalYrA5y0nT87OU6XN6p/qm56Tqa++wYDUmh+6mUylmuGMTrD4SOPdw0wIDNhVqlwOsLoFIq2FCVzb3rSkOv25XM+UI2s8nAylLTJeeATp4H8Zc/eqnnB2SZXWe62Xmmm+ExN7vre9hQlcNdq4vF706MbPHmj7DFnz/Xii0REUFeHBKQZV48ZuHVU114/VPbZpIUrPvWYXXw+N4m/nqoldtXFCXkp4tY4g/Isxb+nWSy84VCgoJMAw9uKKUsJ5WALNPcO8qvXz0bVtwYoLkvmJtmsTrw+gKoVQqSk+b+lUmZVptu8rX74r0rUKsUDDs8lOeKgr8QzJfsGhpDo1JeVt3Ai+Xpg63sPDMlJnF6/Lx+ppvOwTH+/s4l83ZfgUAgiAdEkBdnBAIyv9t1nqMtVgCq8tLYvDiP2qIM1EoFzX02huzBnKvWfjt/PdTGipJMPrytOmwb6lpElmUONw3w2uku7C4v2alatizOZ3FhOr4LNHadHA3I0GF18MPnTqPVqHB7/fgvcK7d6eWJ/U28Z0sViwsz2Hu2N+o2rEGrYslEqZIhh4uRMQ9qpQKjQYtapQjro3speHx+zliGONU2SGZKEitLTWjnoavG1UCWZV48buHVk524J/L+MgxJvG9LJVX56TG917DDza666Grhhp5RznYNk6LTRB0XCASCa4HE/EuRIPSPOtl7tofTliEcLi+SJGHQqinNTuHOVWZMKdqIc/5ysIWjLVa0aiVvW1vClmnqRwgm16+rzGZdZTYnWq38blcDJ9oGeel4B3euMl+tqS0ITx9q4/XTXaHvbeMemnpt3LmyiMwULYOzqFkrclPJy9BzsLE/JCgIyMHOGJMYtCpMKVraBqLnUB5s7Oft68tI1Qf73D62pzFM0KFRKfjgzdWoJzplnGgN1shbU54Vsl0O7QN2fr6jHrvTG7I9faiNR7bXoFbNvXUcjxxq7OeNiZZzkww73Pzs5Xr+6d4VV9w6bToNPSNzim7Odo6wrjI7ZvcTCASCeEMEefNA38g4j75wJtRaazrjbh/9o04ONvZTkZvK9uVFpOjU1HUMMWh3sauuB6VC4u3rS7E5PaHk+EG7C9u4hwH7VLFaY4qWt64t5i8HWnnxuAVzVkpouzCeElZjYRu0u8ICvOm8dLyDmsL0qEGeJMHaimyKTAZWlWXx+pkukpPUON3BoDszRUuqXk1FbhqP7WmKen0IBoXHWq3YnR5qi4w8fEs1p9uHsDk9+AMyty4rQJ+kwmJ1YHd6ONEWXImtzE8LvYaXOmffRKeNmSuA424fP3u5nq21ebOeG482fyDAmw19EcdBcGv72aPt3L6iCIi98CIaDpc3bp5NItjm4zURtvkRCIjXRAgvJhFBXoxp7bPx5ccOMeQIVvNfU57FhkU5ZKfpgGAAuONkJ+e7RmjqtTFob+Lv37KE2iIjhxqDfwDXV2ZzY3XuRNsqNf+zq4HGntHQPQZGXbx3SxUpOjVmk4Ez7UM09IxiGbCHrebFU8LqldqiqYonkYG8jGSWFWfy3FELDldw1StVp+adN1awvGSqvluSWhlxj0lxQXaaNtQRIhpHmvq5e03xnOIE27iH37/RgM8vsyg/nXUV4StFlzLnYy0Ds27xurx+JKS4e53msvWNjEeUZpmO1eYKO/5KE8qNhiRePt4x61b+pupcNFF+Hi7lHsIWf/4IW/z5c63YEhER5MUQq83Fvzx+mCGHm+UlmTy0qQKDNrxJvCE3jbtUSt6zuZJfv3qWln47P33pDA/cUM6Bhn6A0BatPyDzkxfrIj6V1XUM88tX6vmHty4L1mQrM9HQM8rec73ctqIo1Js0Gk09wdppTrePkuwUCjOTY/wU5ge/f+68OX9AZlNNHuurcugaHEOhCJYvKclKueh7bKjK5Xhr9FZkSoVEU6+NP+wOdpNYUWpCrZzahnV6fBxuGuCVk8ESK0ZDEh+6ZdFF3zsag/bopVomGR33XNH1rza6C+QR6i8garlUDFo1d68p5q+H2iLGVpdnUZ6bSsfg7EG9QCAQJDoiyIsh//tGA1a7iyVmI996aC3tE/ldgYBMz/A4kkQo5yhVr+ETdy7h0RdO0z7g4I36blxeP7npegozg58gmntHZ90iae2309RrozIvDbPJQKpOzei4h2GHO9S3dDqyLPPaqc6QoAOC248GrYrP3r2MnDhvDr+oIJ3nj1lmHS/JDgZzaqUi9PVsNQpno6Ywne3LCiOKGGelannXpnIe29PEgM3F73Y18NSBVqry00hSKRm0u2i3OnBPlF8pzjJw9+riiAD/UsmK8jpOJ8OQdEXXv9qk6jUUZxlCvxczWVsRWZz5Srl1WSGZKVp2nemma2gMoyGJjYty2bw475oXKgkEAoEI8mKE3ell55lgzthn716KZiIp/kjzAM8cagvVcMtMSWJLTR5mk4EktZKHNlXwnadP0NxrA4JbjJP0jszeLB6CQUxlXhqSJJGiU2NzenHO0sqrvnM4LMCbxOHy8YfdjfzD25Zf+qSvIqXZKSwxGzljicyVWF1mCm2HXwmSJHHPuhJWlpk40tTPgN3FMrOR1eVZaFRKvnzfKl4+2UGdZYiuoXGOzXieFbmpbK7JY0VpJl1D0YPzS2GJ2UiGIYlhR+SKXopWTdU8dM2Yb7YvL+KJ/U3Yxr1h9mXFRtZX5szLPVeWmuasFygQCATXKiLIixGvnAqWhFhVZgqtxO0808VTB1rDjhu0u/nroTY0aiXFE1uJ+UY93RNBgcPtDa1AjY7PvV3n8vhCXRPGPcFVJKvdhUxk4uhcjedb+u2cbBsMrQzFU7LrdNttywvRaZQcb7Xi88to1UpWlprYWJ0T84TyNRXZ1HUMUZBpoLnPxun2Ic52DjMy5gFkkpNUGA1JFGQm4/b6WVWWReaEWrpraDxmc753bQlPHWjBNk1dm5yk4t71pTT2jIY+TFzJPa6mrWd4jPdvXcTJNisdg2OolQoMWhXblhWG5UPOtoJ9qfeWZZnz3aOcsQSFTcVZKawuN5GVqpuX+V1vNhBJ/vFmA/GazIcNhPDiuuZ0ezCXa9vSgpAt2soZBIUCJ1qtbK4J5t5trsnjT/uagWBeX1aqFp1GxU21+ZzvGo1aky1JpeCWpQXoNCrsTi8vHrOgkKC6ID2U+zR91SLaNaYzKeKYJJ6SXafbynJS2bI4P/SMJvMPlQpFzO/r8fnZU9/D4ab+iOR9r9/HmNtHx+AYeRl6MlO0EdeIhT9mk4Hl+UXrYAAAIABJREFUJZmhgr5GQxLLijNRqxRx143iUmzVBVM18S5lHpdyn6LMZB7f28T+81OK3lPtg9R1DPF322uonahpGG/PJtFs8eaPsMWfP9eKLRERQV6MmFR0Tta+C8gybf32WY9v6ZsaS9cHC7JO9ko91NjP1tp8UnQa3rWpnMf3NIW151IqJN67tSoUzJ1qHyQgw8rSzFmT2wszk8MUutNRKSRy4zwnbzpKhRQ1383l8XGyfRDbuJd8Y7BX6+XicHl5bE8T/aNOJIJbp5trclEoJIpNKQw73Bxs7OPNhj56hsf54XOn+OitNdQUZlzBzKKjUipYVJB+zbzpXC0aukfDArxJ/AGZx/Y08Y13rVkArwQCgeDqIYK8GKGaUFpOtrKSCJbrcE/rhTodnWZqm21ylciUqmVswMGuum5uqArmJ21clEuxKYV953sZsrvQalTcubIoJJQYc3k50RpcMZxcGYzGlsV57Dnbgy+KSnVjdW7MlY1Xm9Y+Gz9+4TROz9TzNqVq+dRblmA0TAkYZFmmoXuElj47Wo2SFdPKq0zi9Qf45Y56+kedZKVqeWT74pBgxmJ1oE9SoU9ScV9mGXevKea/XzvHmY5hfvXqWT579zKKRDAWFxxtiaxTOcnouIfmXlvCdg4RCASCi+HyS/ELwphcwTvfHVwtkySJ1WWmWY9fXT6lJGyfWPEzmwxkpWoZsLn4zWvn8E7UFCvITOYdG8v52O213LK0IBTgOT0+fvHKWcbcPswmw5z5AlmpOh64oQzjNEWmQoJlxZnct770MmcdH4yMuXn6UGtYgAfBre/fvHYu1Bt13O3j8b1NPPrCGZ472s6Tb7bw1T8e4diMYODA+T5a+u2k6NR8+q6loQBPlmWGHC46JnrZQrADyZ2rzKyryMLjC/Dkmy1XYcaCi2G2D1iTuC4wLhAIBImO+BgbI25ZWsCOk528eMzCQ5vKUSoUrCwzcbZrJEIdmZWqZanZiMXqwOcPsO98LwDFWSksKkjnD7sbqe8cpnPQwS1LC6jITUMxkXtW1zGEzx+goXuUNxt6GbS70aqV3LXaHFbzK1riqN3l5eFt1XQNjoXKtVisdrqHZ9bhi59k14uxvXm+N+oKJUD7gINDTf3kZSTz7JF2OmfURQvIMq+e6iI7TUdhpiFYamZCJV2Rm4rN6cXm9NI9NMaOk530jwYVz1q1khuqclhbkUV95zAbFuVyom2Q5j4bR5sH6LdFKqPj5Xklqu1Sz5+rxIxCCq6+x9P8EtEWb/4IWxAhvBDCi0lEkBcjVpRkUpiZTOfgGDvPdHPrskJqCjL48n0r2Xu2l/rO4VBuV9G0Vbc99T04PX5y0nSsr8xGkiRy0/T89OU6hhxBJW66XkNNYQZJaiVWm5PddT3YJ3IAc9J03LuuJJREPp3ZkkmnFwieKbi40LnxaHujbvYuCgAKSSIjOYnzc3TNaOgeZeOiXJp6R7HaXKTo1NyytACzycDAqJM/72/GPa1bg8vrZ1ddN0ZDErVFRswmAzdU5bC7voem3lE2LMqNi2dzrdku5djsVC3HW6wMRilBs6kmj8WFGRi0if/zv9C2ePNH2OLPn2vFloiIIC9GSJLE/TeU8aPnT/PoC2fITdeTpFai06jYvryQ7csLQ8dOlkg51zXCUweC23trKrJCxVlzM/R86b6VvHS8gzOWIfpGnRE9PwuMejbX5LG2Ipu+0bnr6V3rTJYumWt8ZMzNLN2tgGDpGQh2BAFYXZaFUhHMZthZ1x0W4E3nlZOdlOYEg+Z1Fdnsru+hsScY5AkWFq1GxafuWsof9zVxtnMECObJblmcx92rixfYO4FAIJh/RJAXQ+5cWUR95zCvnOzki78/yB0ri9i4KJcUXbjK0+Hy8sIxCy+f6MAfkNmyOLiqMB2dRsXq8izuXVdCc6+N3lEnbq+fcbePJeYMSrJSRMX+CW6oyg49y5kUGJMpzU7B4fKhkJg10JvMqRx3B4tJpydrQmMtfbZZ7213eSdq502dM3kNwcKTmaLlE3csYWTMTVOvjaVmI0lq5YVPFAgEgmsAEeTFEEmSJrpdKHj+qIVnj7Tz4jELy0oygx0ZZOgbHedk21Cobt0tS/K5d31pRK7Y9GtW5KVRMbG9K6r2R2I0aHnrmmJeOGbBM23FLV2v4SPbqkMdQVaWZXG0ObricnNNcOVNOaGSnp7jp71AUDBZkHjyHJVS6JnijfTkJLLTdCLAEwgE1xUiyIsxSoWCT965hA1VOfz36+dp6bNFtL+SCCZwriozUZyVQufgWFwlmCaizesP8MhtiznXOYLD5SUrTYvXF8Dp9Ye2x29clENrn42haTlaCgnWlGehVimxWB0hJe65rmHkieqEZTmpNPVGX80rzEzGYg0qcc92BnP+dBpVXD2ba8UWb/4IW/z5I2xBhPBCCC8mEUHePCBJEmsrsklPTsJqd1FnGcLh8iJJwSK+RkMSS8wXL5QQtou3Lcqfu5PCh7dV4/b6g3Xy1EpWlGZic3pDx6XrNew8001zn41blxViNhkoMOrpHByjvjNcuJGsVfGBm6rw+mXMJkMov3JTdS7F2Slx92yuBVu8+SNs8eePsMWfP9eKLRERQd48Y0rRsrU2P8w2ubIkuPpIkkRVfjpV04LB6X1hU/UaVpSaONo8wOGmfpaYjSgVCh65rYZDTQPsP9eLQpIoz01ly+I80pOTsFgdtPXbae61kaRWsrYii36bayGmJxAIBAJBCBHkCQQzuLk2n2PNAxxtsbIov5eN1bkoFQo2VOVQYEyO+IQ37HDzp/3B3sM3LsoRXRQEAoFAEBeIDHGBYAYl2Sncv6EMgMf2NvHE/mYGohQ3dnv97D3Xy+93N2Ab91CRm8pb15ZcZW8FAoFAIIiOWHKYR+balp05Fk8JptebLVqScllOKrVFGdR3DLO7vofd9T2UZqegUEjkpOmwu7yc7xoJqXnLclK5a3UxPRPdQ+JpfteKLd78Ebb480fYggjhhRBeTCKCvHlktsTN2cqgCFt82e5aXczdq4vZVdfNsRYrrRM9hpunKW3LclJZXJjBbcsLQ63nFtrva9kWb/4IW/z5I2zx58+1YktERJAnEMxBkcnA+7ZW8fb1pZxqH8Qy4MCgU6PXqKjKT6Mw04DF6ogI8AQCgUAgWGhEkCcQXAQGrZqNi3IpzBTFqAUCgUCQGAjhhUAgEAgEAsE1iFjJm0eE8CIxbNGSlOPNR2GLP3+ELf78EbYgQnghhBeTiCBvHhHCi8S2xZs/whZ//ghb/PkjbPHnz7ViS0TEdq1AIBAIBALBNYhYyRMIJpBlma6hMexOLwXG5IV2RyAQCASCK0IEeQIB0Dno4H92NdA9UcxYIUGt2cjDN1ejVokF78vF5w9wxjLEgM2F2+fH5fHj9PiozEtDIYmyMwKBQDCfiCBvHhHCi8SwtfXbePZIO06PP2QLyHC6fYj/fv0cd64yM+b2Mu720T00Fjd+x7PN7vSy42QHPcPjjLt9YWO76rrJMCSxsiSTpcWZNPWOXtQ9robfwnZptnjzR9iCCOGFEF5MsuBBniRJlcB9wO1AJZADDAMHgB/KsrxzAd27IoTwIjFsBxr6wgK86Zy2DOHzBzjXNYIMqJQK3N4A96wrQa2cWuGLl7nEg62pd5Tf7TofCu7yM/RUF2aQpFLQN+Kkpd/GsMPN62e6qesY5p51JSKhPIFt8eaPsMWfP9eKLRFZ8CAP+CbwTqAeeAEYAhYBbwPeJknSp2VZfnQB/RNc4/QORy+hMsnZrpHQ1z5/gF113Yx7fLx/a9V8u5ZwtPTZ+MmLdXj9AUqyUnj7+hLKclKRJrZmLVYHBcZkzliGeO5oOz3D4zy+twmzyUB6ctICey/4/+3deXCc9X3H8c9Pq9OyLFuyhSVZli/5kA+InXAYc9mBMBxNyOAmTQmNJwlJQ4dCO5NMO9P0mEknM0mbpDRHMyGQBGhJQhJIQgIJxhBjwGAMMT5l2cK2bOvwpcM6V7/+sbsCy7uOZe3u83t+er9mPAuf59nVd/WM5K+f5/d9FoBfXFhs9FtJy621i621n7HW/oO19sOS1kgakPQVY0xlsCXCZ4X5o/+3zuaGVrV19GSgmvDq6R/Ud3+3UwPRIV1WV6HbV87R3Omlww1eQiTH6OJZ5fq7W5dpTkWJOnsG9MCzu2StDahyAPBT4E2etfYha+3WJPnzkjZIype0Mtt1YfxYXDPlgp63v6UzzZWE26t729TVO6DaaRP1savqhgcrdjef1IPrd+lrv/yjnn7joJrj6xqL8nN11w31KsqPaH9rp5ra+H4CQDq5cLn2XAbij4Pn3MtRDF6EI8vLzdGldRXa3NB6Rm6MdK6TSx09/TrQ3uXUewkqe+vAMW1uaJMkXTyrXM3Hu7X94HG9uOuoXtx19Ix9t719TLe+d5YWVE+WJFVNKVZjS4d+u/Wgbl5Rm/JrZOu9kDF4EeZMYvAiE5nE4EVaGWNqFbtke1rSC+f5nC0pNi1MV12jweDF+Wcnu/vU0zeoLY1tig4NqSg/V3WVpaqfMSUrtVw6r0KX11XolYZWdfUOqGbqRBUX5Orxl/efta8kFeVHdHV9pfJzIxmpJ2xZy8nTau/sVUlRnlYvqVZuJEdtHT369ZYDZz13yErPvHlQV9dXqiAvojXLqrXvdx3a3XxSn3r/ouGBFhaUhyNzrR4y9+rxJQsjJ5s8Y0yBpEckFUj6vLX2RMAlIUMaj3Zow/Zmvdl0TEMjzpr9ZutBlZcUaPWSaq1cMD3j96ubXzVZ86smD///gfYurV5SpfVvHT5jvxwj/cWqecMNHmK3TJFivxhz403azkMnU+7f0x/VjkMn9J7ZUzW5uEAlRXnq6BlQd+8AAxgAkCZpafKMMU2SakfxlEestXekeK2IpB9JulLSY5K+er4vaq1dkeI1t0haPor6kGHWWj37x0P6+eYmSbHGaX5VqRZVT1Ekx+jk6X691timY519+slL+7SlsU133VCviYV5Wa3ztstma15lqTbtbtGp0/2aVJSnm1fUevOvvHSJxjv0SM47QxZ9A8lvS5PQ0//OKoxEYzgYZfgCANIlXWfyGiX1jmL/w8nCeIP3sKS1kn4s6Q7LyJ2XXmts03PxM2TvX1qta5dUqaNn4Izm6YPvq9Wz2w7rDzuOaF9rp775m7d07y3LslqnMUbLasu1rLZcUupL7eNdYX7srOap0/3DWVXZBG1NfrVbkjS7YpIkKTo0pK7e2JnACQVOXlwAgFBKy29Ua+2asb6GMSZPsUu0ayU9KulOa+25TwU4jsGL5NmRE93DDd5Ny2dqycwydfQMJH1udGhIH101T/+7sUEHj3XrBxt2qyZJkzWW+pItUh7ra4637ER3n/IiOXq7rUtb97ervKRQ0SGrsokFOt7Vd9b+8ytLNRAd0oH2Lq3f1qz+wSFNnVSoto4eGWNY5B+SzLV6yGIYvGDwIsGJfzYbY/IVO3P3QUk/lLTOWjsUbFVjx+BF8uy5bc2SpOuWVOmm5TMlSQPRIb2+r00/fWmf+gYGNbtiklYvrdbimjLNnDpRd9+4RP/++OvaceiErq6vYvGyg1lXz4A27W5R49EOvWf2VEnSqoXT9egf9mrHodiy2hxjdFldhdaunDO8prGtI3YRYM3SatVOKznn1wjy/ZFxTMKSuVaPL1kYBd7kxYcsfibpJkkPSLrLhwYPyXX29Gvr/nZJ0nWLqyTFPkXi209v157D73yGafPx03p1b6vWrpyrmVMnqnLKBNXXTNH2gye07cBxLayenPT1EZyrFlVq0+4Wbdx1RO+ZXa683IgmFxfoczcu1omuPp063a/egegZx27jrqM6dKxbhXkRvW/utACrBwD/BH4zZEnfUazBa5fULOmLxph/GfHn2kArRNq82XRMg0NWcy6apLKSQknSyw2tZzR4CX2DQ3rmzUPDn4SwalHsg092HmLY2kU1Uyfq6vpKDUatvv30Du1r6RjeNmVigWZVlAyvuRuyVhveOqzHNu6VJH348tkX9MkjAIDUXPitOjv+OFXSF8+x34bMl4JMSyzMnz65aDjbuq895f6tp3rU3tmraZOKVFNeLEnq7h1IuT+Cdfvlc9Qdv9/hT1/ap9f2tumq+ulaVD1FBXkRdZzu17PbmrVx55Hhy7RX11dq5YLpAVcOAP4JvMmz1l4bdA2ZwuDF2dmJ7liT197ZO/w96OztP+s57/Z2W5d6+qM63Re75Ub/4FBav38MXqQ3W72kSkX5Eb28p0VNbZ1qej75x5WVFOXpmvoqWdnzOp6Zrpts9Jlr9ZDFMHjB4EVC4E2ezxi8ODtLnMErzMsdzhbPKNPh48kbrQn5ubpkVrlyIznDjUBxYW7WFtkG/f0Ka1Y7rUTvm1uh1lOntWl3i9o6etQ3MKT83BzVTivRqkXTtaSmTDk5ZlQ/D0G8F7JzZ67VQ+ZePb5kYUSTh6xKLLrf3XxCfQNRFeRFdM3iSm3ac1TdvWd/RPEVCy4avlHuy3taJOmMCUy4Ky83R1csmK4r3nUplvsMAkD2uDB4gXFkRvlEza4oUd/gkF5rjH2g/eTiAt1789Iz/vIvnZCvtSvnaPmc2K04+gai2tzQKknDt+dATN9AVM9vP6zvPLNDv3hlvzY3tCo6xIA6AIx3nMlD1l21qFL7Wzv15KtNqqssVUVpkSqnFOujq+Zp8oR89Q1EVVZSqEj8Ut6QtXr0Dw3qHYhq7kWTVFFa9Ke/yDjR2dOvr/9qm1pO9Qxne46c0kt7WvTXH6jn83UBYByjycsgBi+SZxWlRZo2qVBtHb36j1++qdsuna2qsmJtP3hci2vKJEnNx7slSW80tevJV5u0q/mk8nNzdFV9ZdrrC/PgxdutnWc0eAkNR07p56806YoFFzlX84VmrtVD5l49ZDEMXjB4kUCTl0EMXqTOPnZVnZ56/YAajpzSwy80aO5Fk7RoxhQV5kWUGzE62d2vVxpatbmhVQPRIRXmRXTX9Ys0v2py1r5/mXjNdGbRIaun3zh41n4Jew6f1EeunOtUzWPNXKuHzL16yNyrx5csjGjyEIiCvIg+d+Ni/eq1t/XirqNqbOlQY0uHfrXl7bP2rass1e2Xz1F1/D55iBmMDmkwalNuT9xyBgAwPtHkITB5kRzddtls3bR8pl7d26qNu46qtz+qweiQigpyNb+yVPMqSxm0SCE/N2f4sncyM6f58S9RAMCFoclD4AryIlq1qFIzp5WcdYr8XOsaxztjjD5wSY0efqEhyTbp+mUzAqgKAOAKmrwMYvAiHFk6By96+we17cBx7Th4QmUlBVpQNVl1laUyxmTkvSyuKdPqpdV6cddR9Q1EJUkTC/O0Zmm18vMiOtDe5dT3ejwMw4ynTGKRv2uZxDHJRCYxeIERGLwIdzba5x/v7NX3fr9Tx7v6JEktp3q089BJXTKrXOtWL8xY3TOnTtQtK2bq7bYutXf06tK6aYrk5JzXc8OWuVYPmXv1kLlXjy9ZGHEzZCBNHtvUONzgvdsbTcf0SkNLRr92fm5EdZWlqi4vPqvBAwCMT/xtAKRBV++Adhw8kXJ74tM6AADIFpo8IA16+gaV+mYmUje3MwEAZBlr8jKIwYtwZOlY5L+werKK8iPq6Y8mfa3yiQVOvWfXMwYvwpFJLPJ3LZM4JpnIJAYvMAKDF+HORvv86y+eoSdfPftmzpEco1veW6sh69b7C2PmWj1k7tVD5l49vmRhxOVaIE3ev2yGbrykRnmRd36sphQX6K7rF2lGuR+/MAAA4cGZPCBNckzsjN3qpdV6rbFNM8qLNWtaiXJyTNClAQDGIZo8IM0mFORqVsXZn94BAEA20eRlWKrhi5E5C2WDW9CfapE/x8St45Qqd6lunzOOiXsZxyR7mcTgBZJIdjaHwYtwZK7VQ+ZePWTu1UPmXj2+ZGHE4AUAAICHaPIAAAA8RJMHAADgIdbkZdhYBi9cz8Yy2OB65lo9ZO7VQ+ZePWTu1eNLJjF4gSQYvAhv5lo9ZO7VQ+ZePWTu1eNLFkZcrgUAAPAQTR4AAICHuFybYdwM2a2MmyG7l3FMwpGNdf2XS+/Fl4xjkr1MYk0ekmBNXngz1+ohc68eMvfqIXOvHl+yMOJyLQAAgIdo8gAAADxEkwcAAOAh1uRlUKqhi2TbXFpgOt6yVIuXXapxvGUMXriXcUzCkUkck0xkEoMXGCHVwk0GL8KRuVYPmXv1kLlXD5l79fiShRGXawEAADxEkwcAAOAhmjwAAAAPsSYvgxi8CEfG4IV7GcckHJnEIn/XMoljkolMYvACIzB4Ee7MtXrI3KuHzL16yNyrx5csjLhcCwAA4CGaPAAAAA/R5AEAAHiINXkZxOBFODIW+Ycjc60eMvfqIYth8ILBiwSavAxi8CLcmWv1kLlXD5l79ZC5V48vWRhxuRYAAMBDNHkAAAAeoskDAADwEGvyMojBi3BkDF6EI3OtHjL36iGLYfCCwYsEmrwMYvAi3Jlr9ZC5Vw+Ze/WQuVePL1kYcbkWAADAQzR5AAAAHqLJAwAA8BBr8jKIwYtwZAxehCNzrR4y9+ohi2HwgsGLBJq8DGLwItyZa/WQuVcPmXv1kLlXjy9ZGHG5FgAAwEM0eQAAAB6iyQMAAPAQa/IyiMGLcGQMXoQjc60eMvfqIYth8ILBiwSavAxi8CLcmWv1kLlXD5l79ZC5V48vWRhxuRYAAMBDNHkAAAAeoskDAADwEGvyMojBi3BkDF6EI3OtHjL36iGLYfCCwYsEmrwMYvAi3Jlr9ZC5Vw+Ze/WQuVePL1kYcbkWAADAQzR5AAAAHqLJAwAA8BBr8jKIwYtwZAxehCNzrR4y9+ohi2HwgsGLBJq8DGLwItyZa/WQuVcPmXv1kLlXjy9ZGNHkAfCKtVbNx7p1rLNXlZMnaPqUCUGXBACBoMkD4I3m4916cP0uHT3ZM5zVz5iiO6+dH2BVABAMBi8AeKGnf1D//Zu3zmjwJGnHoRN6cP2ugKoCgOBwJi+DGLwIR8bgRTiyP7Xv1n3t6uwZSPq83YdPadPuo5KmZ71unzPX6iGLYfCCwYsEmrwMYvAi3Jlr9ZCde98Xdx1Nun9CSWGeU+/Fl8y1esjcq8eXLIy4XAvACyVFeefcXlx47u0A4BuaPABeuHRehYxJvm1ycb5qp5VktyAACBhNHgAvVJQW6c9XztXIPq8wL6J11y1UJCdFBwgAnmJNXgYxeBGOjMGLcGTns2/ttBKtW71QG7Y3qyAvV1NLCrWstkx5uTlOvRdfMtfqIYth8ILBiwSavAxi8CLcmWv1kJ3fvjOnTtTUSYVO1e1z5lo9ZO7V40sWRlyuBQAA8BBNHgAAgIdo8gAAADzEmrwMYvAiHBmDF+HIXKuHzL16yGIYvGDwIoEmL4MYvAh35ko9/YNRbWmM6mcv79Ng1Gp+VamuWVylxTVlTtSXzcy1esjcq4fMvXp8ycKIJg9wWP9gVPc/9Zb2t3YOZ01tnXppT4s+cuVcb34RAQDSjzV5gMM2bD98RoOX0NkzoPXbDgdQEQAgLJxs8owx3zPG2PifeUHXAwRlS2N7ym37WjrU0z+YxWoAAGHiXJNnjLlV0iclpZ5aCDkusbnF5ePRNxg95/b+waEsVZJdLh8TnIlj5R6OCRKMtTboGoYZY6ZJ2iZpg6Tpkq6RVGet3TvG192yfPny5Vu2bBl7kUAWfeWJN/T7PzYn3VY5ZYK+f/e1yjF8JisA+GTFihV6/fXXX7fWrhjL67h2Ju+78ce7A60CcMTaK+YqPzf5j+lfXlVHgwcASMmZJs8Y8wlJH5L0GWvtsYDLAZwwq6JEX77jMs25aNJwVl5SoPtuWarrL54RYGUAANc5cQsVY0ytpG9Ietha+8QYXifV9diFF/qaQNAW15TpW59epSMnTqt/cEg1U4sVyXHm32cAAEcF3uQZY3Ik/UCxQYt7Ai4HcJIxRlVlxUGXAQAIkbQ0ecaYJkm1o3jKI9baO+L/fZ9iAxY3W2tPjKWOVAsU42f4lo/ltQEAAMIkXWfyGiX1jmL/w5JkjJkv6UuSHrTWPpWmWgAAAMa9tDR51to1F/jUekkFktYZY9al2KfBxCYIb7PW/uICvw4AAMC4EvSavCZJD6TYdrNi98r7iaSO+L4AAAA4D4E2edbaNyR9Ktk2Y8wGxZq8fxzrzZABAADGG+7DAAAA4CGaPAAAAA8FvSYvJWvttUHXAAAAEFacyQMAAPAQTR4AAICHaPIAAAA8RJMHAADgIZo8AAAAD9HkAQAAeIgmDwAAwEM0eQAAAB6iyQMAAPAQTR4AAICHaPIAAAA8RJMHAADgIZo8AAAADxlrbdA1ZJwx5lhRUVHZokWLgi4FAADgnHbu3Kmenp7j1trysbzOeGny9kuaJKkp4FJ8tzD+uCvQKpBpHOfxg2M9PnCc3TNLUoe1dvZYXmRcNHnIDmPMFkmy1q4IuhZkDsd5/OBYjw8cZ3+xJg8AAMBDNHkAAAAeoskDAADwEE0eAACAh2jyAAAAPMR0LQAAgIc4kwcAAOAhmjwAAAAP0eQBAAB4iCYPAADAQzR5AAAAHqLJAwAA8BBNHgAAgIdo8pA1xpjvGWNs/M+8oOtBehhj6owxXzDGrDfGHDTG9BtjWowxTxhjrgu6PoyeMWaGMeb7xpjDxpg+Y0yTMebrxpgpQdeGsTPGlBtjPmWM+bkxZq8xpscYc8oYs9EY80ljDL2BJ7gZMrLCGHOrpCcldUmaKKnOWrs32KqQDsaY/5P0EUk7JG2UdFzSAkl/Jiki6W+ttf8VXIUYDWPMXEmbJFVIekLSLkmXSrpO0m5JV1prjwVXIcbKGPNZSd+WdETSc5IOSLpI0ocllUp6XNJaS4MQejR5yDhjzDRJ2yRtkDRd0jWiyfOGMeYTkt601m4dkV8j6XeSrKRZ1tojAZSHUTLGPC3pBkn3WGtj+lnRAAADhElEQVTvf1f+n5Luk/Q/1trPBlUfxs4Ys1pSsaRfW2uH3pVPl7RZUo2k2621jwdUItKEU7LIhu/GH+8OtApkhLX2oZENXjx/XrHGPl/SymzXhdGLn8W7QVKTpG+O2PzPkrolfdwYU5zl0pBG1tr11tpfvrvBi+dHJX0n/r/XZr0wpB1NHjIqfpbnQ5I+wyWecWkg/jgYaBU4X4k1lM8kaQA6Jb0oaYKky7NdGLKGn1mP0OQhY4wxtZK+Ielha+0TQdeD7Iof/zWSTkt6IeBycH4WxB/3pNjeEH+cn4VakGXGmFxJd8b/97dB1oL0yA26APgpPp31A8UGLe4JuBxkmTGmQNIjkgokfd5aeyLgknB+SuOPp1JsT+STs1ALsu/LkpZIespa+3TQxWDsOJOHlOK3TbCj+PPwu55+n2IDFp/mL3j3jfFYj3ytiKQfSbpS0mOSvpqt9wHgwhhj7pH094pNU3884HKQJpzJw7k0Suodxf6HJckYM1/SlyQ9aK19KhOFIe0u6FiPFG/wHpa0VtKPJd3BbRhCJXGmrjTF9kR+Mgu1IEuMMX+j2NKaHZLWWGuPB1wS0oQmDylZa9dc4FPrFbtMt84Ysy7FPg3GGEm6zVr7iwv8OkiTMRzrYcaYPMUu0a6V9KikO6210bG+LrJqd/wx1Zq7uvhjqjV7CBljzL2SvibpLcUavNaAS0Ia0eQhE5okPZBi282K3SvvJ5I64vsi5Iwx+YqdufugpB9KWjdyOhOh8Fz88QZjTM6Ie6iVKHYJ/rSkl4MoDulljPmCYuvw3pB0vbW2PeCSkGbcDBlZZYzZIG6G7JX4kMXPJN2kWHN/Fw1eeHEz5PHBGPNPkv5N0hZJN3CJ1k80ecgqmjz/GGMelPQJSe2SvqXYJ1yMtMFauyGLZeECJflYs52SLlPsHnp7JK3knpfhZoz5K0kPSYpKul/Jp6mbrLUPZbEsZACXawGM1ez441RJXzzHfhsyXwrGylrbaIx5r2JneW5U7AztEcUW5v8r0/JeSPzMRiTdm2Kf5xVrBBFinMkDAADwEPfJAwAA8BBNHgAAgIdo8gAAADxEkwcAAOAhmjwAAAAP0eQBAAB4iCYPAADAQzR5AAAAHqLJAwAA8BBNHgAAgIdo8gAAADxEkwcAAOAhmjwAAAAP0eQBAAB4iCYPAADAQzR5AAAAHqLJAwAA8ND/A2oO8/jcc2wUAAAAAElFTkSuQmCC\n", + "image/png": 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\n", "text/plain": [ "<Figure size 360x360 with 1 Axes>" ] @@ -1032,13 +1033,13 @@ " # separation line: w[0] * x + w[1] * y - b == 0\n", " feat_x = features_2d.iloc[:, 0]\n", " x = np.linspace(np.min(feat_x), np.max(feat_x), 2)\n", - " y = (b - w[0]*x)/w[1]\n", + " y = (b - w[0] * x) / w[1]\n", " plt.plot(x, y, color='k', linestyle=':');\n", "\n", " # margin lines: w[0] * x + w[1] * y - b == +/-1\n", - " y = ((b-1) - w[0]*x)/w[1]\n", + " y = ((b - 1) - w[0] * x) / w[1]\n", " plt.plot(x, y, color='r', linestyle=':');\n", - " y = ((b+1) - w[0]*x)/w[1]\n", + " y = ((b + 1) - w[0] * x) / w[1]\n", " plt.plot(x, y, color='r', linestyle=':');\n", "\n", "plot_support_vectors(features_2d, classifier)" @@ -1233,7 +1234,7 @@ }, { "cell_type": "code", - "execution_count": 148, + "execution_count": 67, "metadata": {}, "outputs": [ { @@ -1285,7 +1286,7 @@ "1 0.927976 0.394634 True" ] }, - "execution_count": 148, + "execution_count": 67, "metadata": {}, "output_type": "execute_result" } @@ -1299,7 +1300,7 @@ }, { "cell_type": "code", - "execution_count": 149, + "execution_count": 68, "metadata": {}, "outputs": [ { @@ -1331,12 +1332,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "We can engineering a feature to map each data sample $x$ into a higher-dimensional features space $\\phi(x)$ and learn a linear classifier therein. Here, let's add a feature giving distance to the center $(0, 0)$, hence make $\\phi$ map from 2D to 3D features space:" + "We can engineering a feature to map each data sample $x$ into a higher-dimensional features space and learn a linear classifier therein. We write this mapping as $\\phi(x)$. Here, let's add a feature giving distance to the center $(0, 0)$, hence make $\\phi$ map from 2D to 3D features space:" ] }, { "cell_type": "code", - "execution_count": 150, + "execution_count": 69, "metadata": {}, "outputs": [ { @@ -1362,7 +1363,7 @@ " <th></th>\n", " <th>x</th>\n", " <th>y</th>\n", - " <th>dist</th>\n", + " <th>x^2 + y^2</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", @@ -1378,17 +1379,24 @@ " <td>0.394634</td>\n", " <td>1.016875</td>\n", " </tr>\n", + " <tr>\n", + " <th>2</th>\n", + " <td>-1.375925</td>\n", + " <td>-1.376022</td>\n", + " <td>3.786607</td>\n", + " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ - " x y dist\n", - "0 -0.501840 1.802857 3.502137\n", - "1 0.927976 0.394634 1.016875" + " x y x^2 + y^2\n", + "0 -0.501840 1.802857 3.502137\n", + "1 0.927976 0.394634 1.016875\n", + "2 -1.375925 -1.376022 3.786607" ] }, - "execution_count": 150, + "execution_count": 69, "metadata": {}, "output_type": "execute_result" } @@ -1406,23 +1414,22 @@ "# `validate=True` converts to np array\n", "add_distance_to_zero = FunctionTransformer(phi, validate=True)\n", "\n", - "features_3d = pd.DataFrame(\n", - " add_distance_to_zero.transform(features_2d),\n", - " columns=[\"x\", \"y\", \"dist\"],\n", - ")\n", - "features_3d.head(2)" + "features_3d = pd.DataFrame(add_distance_to_zero.transform(features_2d),\n", + " columns=[\"x\", \"y\", \"x^2 + y^2\"])\n", + "features_3d.head(3)" ] }, { "cell_type": "code", - "execution_count": 152, + "execution_count": 71, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "score: 97.33%\n" + "score: 97.33%\n", + "[[-0.06440227 -0.09749993 -1.95659637]]\n" ] }, { @@ -1457,16 +1464,35 @@ " features_2d, labelv, classifier,\n", " preprocessing=add_distance_to_zero,\n", " test_features_2d=X_test.iloc[:,:2], test_labels=y_test,\n", - ")" + ")\n", + "\n", + "print(classifier.coef_)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ + "How can we construct such a Phi ? \n", + "\n", + "The kernel SVM avoids explicit construction of Phi, instead starts with a so called *similarity measure*.\n", + "One examples is the rbf\n", + "\n", + "$$\n", + "k(x, y) = e^{-\\gamma ||x - y||}\n", + "$$\n", + "\n", + "It is a Gaussian-shaped similarity measure that returns `1` for the same points and declines exponentially to `0` with distance increasing between points. The `gamma` parameter of `SVC` controls the decline rate (higher value = slower decline)\n", + "\n", + "\n", + "Using the so called **kernel trick**, a SVC translates such a mesaure into a $\\Phi$ followed by a linear SVM.\n", + "\n", + "\n", + "DO WE NEED THIS ANY MORE: ???\n", + "\n", "Linear SVM learns weights by computing sums of weighted features, in *dot-product* notation: $w\\cdot \\phi(x)$. Linear SVM just needs to know values of such sums after the mapping $\\phi$, and not the mapping itself, which may be costly to compute and store for the whole dataset. This is where the so-called **kernel trick** is applied. Use a pre-selected kernel function $K(w, x) = w\\cdot \\phi(x)$ that gives values as if the weighted-sum was computed after mapping, but do not explicitly map the features to higher-dimensions.\n", "\n", - "The default kernel for `SVC` is a Radial Basis Function (RBF). It is a Gaussian-shaped similarity measure that returns `1` for the same points and declines exponentially to `0` with distance increasing between points. The `gamma` parameter of `SVC` controls the decline rate (higher value = slower decline)." + "The default kernel for `SVC` is a Radial Basis Function (RBF).." ] }, { @@ -2039,7 +2065,25 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.3" + "version": "3.7.2" + }, + "latex_envs": { + "LaTeX_envs_menu_present": true, + "autoclose": false, + "autocomplete": true, + "bibliofile": "biblio.bib", + "cite_by": "apalike", + "current_citInitial": 1, + "eqLabelWithNumbers": true, + "eqNumInitial": 1, + "hotkeys": { + "equation": "Ctrl-E", + "itemize": "Ctrl-I" + }, + "labels_anchors": false, + "latex_user_defs": false, + "report_style_numbering": false, + "user_envs_cfg": false } }, "nbformat": 4, -- GitLab