diff --git a/Notes/Semester 4/MLDM - Machine Learning and Data Mining/PreClassReading/MLDM_FS23_L02_Clustering_PRE_CLASS_ASSIGNMENT.ipynb b/Notes/Semester 4/MLDM - Machine Learning and Data Mining/PreClassReading/MLDM_FS23_L02_Clustering_PRE_CLASS_ASSIGNMENT.ipynb new file mode 100644 index 0000000..7cecdb7 --- /dev/null +++ b/Notes/Semester 4/MLDM - Machine Learning and Data Mining/PreClassReading/MLDM_FS23_L02_Clustering_PRE_CLASS_ASSIGNMENT.ipynb @@ -0,0 +1,777 @@ +{ + "cells": [ + { + "attachments": {}, + "cell_type": "markdown", + "metadata": { + "id": "tJRn3QNf4KD5" + }, + "source": [ + "# L02 - Clustering" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": { + "id": "mhDnLnid4DLB" + }, + "source": [ + "NOTE: \n", + "- To execute all code and see the results in COLAB, click on menu \"Runtime\" -> \"Execute all\" or press CTRL-F9\n", + "- To execute a single cell, press CTRL-Return (or SHIFT-Return to jump to next cell afterwards)\n", + "\n" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": { + "id": "gIYjV7WT4Rz5" + }, + "source": [ + "## Introduction\n", + "\n", + "### What is Clustering?\n", + "\n", + "In Clustering, we are given a set of datapoints, e.g. biological probes, properties of houses, or health data of cancer patients (temperature, blood samples etc.). Our goal is to find subgroups of these datapoints that are similar to each other. Grouping the datapoints can help us to better «understand» the data. For instance, if we identify a group of similar cancer patients, we might be able to find a pattern that is related to the origin of their cancer." + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": { + "id": "ILQAkKMDhRRF" + }, + "source": [ + "### Example\n", + "\n", + "Assume we have the following data where each sample consists of two measurements: height and weight.\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "\n", + "
" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": { + "id": "TOfGbKeAkPGZ" + }, + "source": [ + "Then we might separate the data in two clusters as follows:\n", + "\n", + "
\n", + "\n", + "
" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": { + "id": "JHC89m3ok5YF" + }, + "source": [ + "Or we can separate the data into 5 groups, as follows:\n", + "\n", + "\n", + "\n" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": { + "id": "VUEKzOLOl5WX" + }, + "source": [ + "We can now give a more formal definition of the clustering task:\n", + "\n", + "## Definition: Clustering\n", + "\n", + "Given a set of data points $X = \\{x^{(1)}, x^{(2)}, \\ldots, x^{(m)}\\}$ where each data point $x^{(i)}$ consists of $n$ features: $x^{(i)} = (x_{1}^{(i)}, \\ldots, x_{n}^{(i)}) \\in \\mathbb{R}^{n}$, and a distance measure $D$, a **clustering** is a collection of subsets of $X$ (called \"clusters\"). The clusters are created with the goal that samples in the same cluster are similar, i.e. have a small distance according to the distance measure $D$, whereas samples belonging in different clusters have a large distance.\n", + "\n", + "\n", + "For instance, we might have $m$ patients and for each patient we have $n$ measurements corresponding to their age, weight, height, and some blood analysis results.\n", + "\n", + "Note that in clustering, we are dealing with *unlabeled data*, meaning we only have the raw data points with no label assigned to them. Methods utilizing unlabeled data are also called *unsupervised machine learning algorithms*." + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": { + "id": "wjQ1CLrizkef" + }, + "source": [ + "## The K-Means Algorithm\n", + "\n", + "One of the most prominent clustering algorithms is the k-Means algorithm. The main idea is shown in the following [video](https://www.youtube.com/watch?v=JqONmLsRs8Y)." + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": { + "id": "rGbsmuAS_pgT" + }, + "source": [ + "The following pseudo-code depicts the basic principles of k-Means:\n", + "\n", + "**Input**:\n", + "* $X = \\{x^{(1)}, \\ldots, x^{(m)}\\}$ set of $m$ data points\n", + "* the number of clusters $k$\n", + "\n", + "**Output**:\n", + "* a set of $k$ centroids $\\{c_1, \\ldots, c_k\\}$\n", + "\n", + "**Algorithm**\n", + "```\n", + "choose k initial centroids c_1, ..., c_k\n", + "\n", + " REPEAT\n", + "\n", + " compute closest centroid c_i for each data point and \"assign\" data point to that centroid\n", + "\n", + " FOR EACH centroid c_i\n", + " A_i = set of data points currently assigned to c_i\n", + " m_i = mean of all data points in A_i (see below)\n", + " c_i = m_i\n", + " END FOR\n", + "\n", + " UNTIL stop-criterion is met\n", + "\n", + "RETURN c_1, ..., c_k as the centroids of the k clusters\n", + "\n", + "```\n", + "\n", + "Computing the mean of all data points assigned to $c_i$:\n", + "$m_i = \\frac{1}{|A_i|}\\sum_{x^{(i)} \\in A_i} x^{(i)}$\n" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": { + "id": "PlqTF1k-CoMA" + }, + "source": [ + "We call each loop of assigning data points and re-calculating centroids an *iteration*.\n", + "\n", + "For the distance $D$ between two data points, we use the Euclidean distance (also called L2-norm):\n", + "\n", + "$d(x, y) = \\sqrt{\\sum_{j = 1}^{m} (x^{(j)} - y^{(j)})^{2}}$\n" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": { + "id": "19jSwbI3D_WX" + }, + "source": [ + "In the following code, you find a basic implementation of k-Means.\n", + "\n", + "We first generate some data points:" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "id": "hIdUAWc2ENx9" + }, + "outputs": [], + "source": [ + "from sklearn.datasets import make_blobs\n", + "from matplotlib import pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "id": "3UV5KU7TElFG" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "X, cluster_label = make_blobs(\n", + " n_samples=300, # number of data points m\n", + " n_features=2, # number of features n\n", + " centers=4, # true number of clusters (unknown)\n", + " cluster_std=.6, # how close points in the same cluster are together\n", + " random_state=0,\n", + ")\n", + "\n", + "plt.scatter(X[:, 0], X[:, 1], s=30)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": { + "id": "Iog6aXI7GeJ7" + }, + "source": [ + "Note that we have created data points with $m=2$ features. This is only for illustration of the algorithm - real world data usually has many more features, but these cannot be plotted in 2D.\n", + "\n", + "Next, we implement the k-Means algorithm:" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "id": "byPZ5W9bHv4U" + }, + "outputs": [], + "source": [ + "import numpy as np\n", + "\n", + "from sklearn.metrics import pairwise_distances" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "id": "GmvL8VCOHmfr" + }, + "outputs": [], + "source": [ + "class MyKMeans:\n", + " def __init__(self, k, random_seed=0):\n", + " self.k = k\n", + " self.centroids = None # placeholder\n", + "\n", + " self.random_seed = random_seed\n", + " self.rng = np.random.default_rng(self.random_seed)\n", + " \n", + " def fit(self,X):\n", + "\n", + " m, n = X.shape\n", + "\n", + " # select initial centroids from data\n", + " self.centroids = X[self.rng.choice(np.arange(m), self.k)]\n", + "\n", + " cluster_index = self.predict(X)\n", + " new_centroids = self._calc_centroids(X, cluster_index)\n", + " while not np.allclose(self.centroids, new_centroids):\n", + " self.centroids = new_centroids\n", + " cluster_index = self.predict(X)\n", + " new_centroids = self._calc_centroids(X, cluster_index)\n", + "\n", + " return self\n", + " \n", + " def predict(self,X):\n", + " distances = pairwise_distances(X, self.centroids, metric=\"euclidean\")\n", + " return np.argmin(distances, axis=1)\n", + " \n", + " def _calc_centroids(self, X, cluster_index):\n", + " return np.array([\n", + " np.mean(X[cluster_index == i], axis=0)\n", + " for i in range(self.k)\n", + " ])\n" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": { + "id": "F61Vv0EoL3ip" + }, + "source": [ + "We can now run the k-Means algorithm on the data by setting the desired number of clusters $k$:" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "id": "hB392IlLMARe" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "k = 2\n", + "\n", + "my_kmeans = MyKMeans(k=k)\n", + "my_kmeans.fit(X)\n", + "\n", + "cluster_assignment = my_kmeans.predict(X)\n", + "\n", + "plt.scatter(X[:, 0], X[:, 1], c=cluster_assignment, s=50, cmap=\"viridis\")\n", + "plt.scatter(my_kmeans.centroids[:, 0], my_kmeans.centroids[:, 1], c=\"red\", marker='x', s=200, alpha=.8)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": { + "id": "mz8BOyw-NqgO" + }, + "source": [ + "**TASK: run k-Means with $k = 3,4,5$.**" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": { + "id": "FGK2VmQLOeSm" + }, + "source": [ + "We now explain the main steps of the algorithm in more detail:\n", + "\n", + "## Selection of Initial Centroids\n", + "\n", + "There are two simple and straightforward ways to select the initial centroids $c_1, \\ldots, c_k$ at the beginning of the algorithm:\n", + "\n", + "* random points: randomly select $k$ points in $\\mathbb{R}^n$\n", + "* random data points: randomly select $k$ points from $X$ as initial centroids, meaning that the initial centroids are *data points*.\n", + "\n", + "*Question*: Which method was used in our implementation above?" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "_Random Data Points_" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": { + "id": "bqRjywU4PzxG" + }, + "source": [ + "## Stop-Criterion\n", + "\n", + "There are many potential stopping criteria for the k-Means algorithm. The most obvious is when the centroids do not change anymore. This also means that the assignment of data points to centroids does not change anymore (it is \"stable\"), and we can output the result.\n", + "\n", + "However, for large data sets we cannot expect that we will reach such a stable assignment in reasonable time. Instead, we can hope that after some time the assignment will only change \"slightly\", which we can assess with any of the following criteria:\n", + "\n", + "* stop when the coordinates of the centroids change only very little from one iteration to the next\n", + "* stop when only very few data points are re-assigned to a different centroid in a new iteration\n", + "\n", + "Apart from this, we can also use time-boxed criteria:\n", + "\n", + "* stop after a fixed number of iterations (e.g. after 20-50 iterations)\n", + "* stop after a certain time for the entire computation has elapsed (e.g. after 1 minute)\n", + "\n", + "**Question**: Which criterion was used in our implementation above?" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "_The implementation stops when all centroids are close to each other_" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": { + "id": "VZe_ow0sR1zH" + }, + "source": [ + "## Quality of a k-Means Clustering\n", + "\n", + "If we randomly select the initial centroids, then the resulting clustering will depend on this selection. The following code runs k-Means on the same data with different randomly selected initial centroids:" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "id": "1U0MYGNySXbs" + }, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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vX4PSMqz5TD+4hV+P7CLLVkCjEGfr9ZGN29K/XjOuaN6ZWQe3uvz6mIQg1hLKo52HVNn4FEU5P6nAwkf96zUnPMBiaNfBmKYdq2FEFeet/HYxITDcCrw6Zdushrd86khybFYsJjNJWSk8vGoWuixffLv4XTqkzs2JvWkcGklkYBDDGyWWCxQjA4OZOvwmlp/cz49JGzmQnUqQKYDBDVtyfaseNAzxnJwspWTt6SPMPbydjMJ8IgODuKxpR/rGN/U6y7H0RBL3rZhOgeNMf5L9WaksPbmfpmHRfDdkAq/1vox4Syjf7F2LTXeUaRPfPbYJb/cbV+u3RSuKUveowMJHFpOZmxN78+GO5W5vahqC0IBArnSxE6CqSCnJLHS27I4IDDKUkNc6ItZQUS+brtM6Iq7SY6yIrMICZhzcyta0E4CkY3QDrmzehShLcLltsp6YhEZ4gHO26fu965B4LmylCcGWtONMaN2DP4/t4cvda6gfHM6lCe2JDQotc9zghq0Y7ONszvG8LO5eNo0dGcmYi2ZHTELjx6SNtIusx2cXXEPj0EiXr92adoK7lv+EXXe4bHl/LDeDiYsnMf+SO3my23Du6TCA+Yd3ciI/ixBTABc2SixTllxRFMWf1HbTCrDpDu5fMZ1Fx/cCZW9QGmDWTHSLbYzVYSciIIhRCe0Y06xjlWw9zbMXMnnfBr7bu5bjRaWm6weHc2PrntyQ2Mtj6e6UghwGzHnPaxJiiDmAv8c9QrAfGnz5YtLedby86U8KdUdJoKRLiVkz8USXYWQUGmvVriG4NKE97w64AoBuM/7nU50LTQg0nEsdJiG4vlV3nuk2gkCT554n7mQW5jP29684kZfp8mtvKto6O2fk7S6X0+5Z/hOLju/1+H0TwLPdR3JLm8pV8FQURSmmtptWoQDNxMcDr+aFnqNoFRF75nGhERpgoVB3sD7lCJvTjrM8eT/PrPuFgXPeZ93pIx7O6rsMaz7j//yW1zYvKgkqAJLzs3lr6xKu/ONrUgpy3b4+LiiMu9sP8HqdxzoPq/ag4sekDfxnw29Yiz6VO6TEUbR0YdMdvLTpT77a/behc+lIbmvbB3DO7PhaPEuXEntRSWy71Jm0bz0PrppR4Z0y3+1dx3E3QQU43+vJ/Gy+27uu3HMpBbn8eWyPoYqkqvW6oig1QQUWFWTSNCa07sGvl9zNqrEPMm/kHdQLDifPXgicSQgs/vWfY7Nyy5If2eelZbgvHl09m71Zp1226daRHMpJ4x8rp3s8xyOdhnBXu/4IKFOXobgE9xNdLuRmg/1C/CXPXsjLm/70ely+w2bofJEBQXQt2vIphDDUgM0TCfxxbA8Lj+/x+bW6lEw2UDpcLyox7jirRPmx3AxDeSUSSpqpKYqiVCeVY1FJQgjqBYcz59B2judluv2lryMp1O18vGMFb/YbV+nrJmWlsORkksdjHEXJgdvTT9IxuoHLYzQheLLrhUxs3YMpSRvZmZGMQNA1thHXtuxGvaLkPl1KViYfYGvaCSTODqkXNGhZJcWVfjm8kzy7saDBiLMTITtFN2CVj0W/zmYSgu/3rmdE47Y+vS6rsIDTHmaRSkuz5pFemE9cqZyOQB/ySry1p1cURakKPgUWDoeD5557jkmTJnHy5EkaNWrELbfcwrPPPlsje/Vri6O5GbyxZbGBbY+SeYd38J8eF1e6dsAvR3aW2eLojklozDu8w21gUaxJaBSPdxnm8rllJ/fz7NpfOJqXWTKr4ZCShiER/LfnJQwr6lZ6Kj+bnw5sZk/macxCo3VEPJ2i6xNpCaZdZH2XOQk70k+SlJ2KWWj0iGtC/eBwdhYlNPpjJ4qAMrszpJSczMuu9HkdUrIh5ajPr/M1EDv7+NaRccRaQrz2NTEJjQsatPR5fIqiKJXlU2Dx2muv8fHHH/Ptt9/SsWNH1q1bx6233kpkZCQPPvhgVY2xVssqLOC6hd8Zvgnapc6x3MxKBxZp1ryi5lXeJ8bTDRb1cuWvE/u4c+m0kuWW0oHMybws7lw2jQ8GXMW29BN8umsVSJAuFmeiLcHc0Lon97YfiMVkZsXJA7y2eSHbM840a9OEYGTjtkRUcqmiNImzJHixNGue4R4f3s/te45FeICF5mHRHMpJ9/hqATQOjSI6MLjM4wGaiRsTe/HetmUeq4QWb5dVFEWpbj4FFitXrmTcuHGMHj0agObNm/Pjjz/y99/GkujORVP2byTZx+6QARXcTVBadGCw4RtblCXY+0Eu2HQHT/49z2WgAJQ0+3p09SysusPjudKt+Xy4fQUrkw9yQ+uePLZ6TtmzSokO/HFsNyHmwIrPVkjpLLyBM4EoNiiMwznpPLJqFkHmALpEG2sD742GoG2k71s2hRDclNib/2783euxNyf2cjkTeGfbfiw5kcTm1ONug4vb2/alT72mLp9TFEWpSj4lbw4YMICFCxeyZ48zaW3z5s0sX76cUaNGuX2N1WolKyurzH/nkkl71xvqL1EsPiiU5mExlb7u6KYdDO0McEidyxI6VOgai47vJaUg1+O7k+A1qCim41w+eHzNnDLBSuKRZN788GdiM3JwSEmevRCz8NYOrLzYjBze/PBnEo84Z0HMmonTBTl8vedv5h3ewfQDW3h2/QIfz+r+vdxYwaTW61p1p2tsY4/LIhJ4a+tf/N+6BezNPF3muSBzAN8PncgNiT0JOqtxWXxQKP/pMZKnuw6v0NgURVEqy6fA4qmnnuK6666jXbt2BAQE0L17dx5++GEmTpzo9jWvvPIKkZGRJf8lJPjWgrs2++v4Po7lZRo+XiC4oXUvzFrlN+O0iohjcIOWHjtsmoSgV1wCnWIq9il93ekjmA00svJF8dbRkmBFSu6ZvZRWx0/z0uezSoIL5/ZODAcXsRk5vPT5LFodP809s5eClBQWBTwO6ezY6q10+dncXdskBF1jGjG6ggGbxWTm2yHXMzqhg3P3DcLl9zHfYWfq/k1c9tsX/HpkV5nngs0B/KfHxawe9zAfDbyKN/qM4bshE1g+5kFuSux9Xuc8KYpSs3wqkDVlyhT++c9/8sYbb9CxY0c2bdrEww8/zFtvvcXNN9/s8jVWqxWr9UzdgKysLBISEup0gSyAT3au5I0ti316TdvIeky/6Ba/1YRIt+YxYfEk9mWmlJs10RA0C49myoU3EhcUVqHzv7DhdybtXYejArkEvigOChqkZ3EyOoJ/3Xk5aVFhXN+qB38c283pgtySAMfVEomr16dGVew9F7NoZqItwZzMz8YsNHQpEULgkDoX1G/JewOu8EvzrhN5WXyxazXfeGjtLnDmn8wZeTvtqrATqZSS9SlH+TFpA9vTT2ISGn3qNWVi655VWnnV6rCzO/MUdl2naVhUhX9eFUWpWkYLZPkUWCQkJPDUU09x//33lzz24osvMmnSJHbt2uXhlb4PrDZbciKJ25ZO8ek1QSYzq8Y+5PdOkrm2QibtW8/3e9dxIt+5zBQfFMZNib24sXVPwit4vdSCXB5bPYdlyfv9OVy3zg4O/u/OK7h76OXcmNiLOYe3MffQdnLthdgcDramnygJdaoiqCg2oVUPhjVszR/H95BrK6R+cBhXNO9MBy87bHz1jxUz+P3Ybo8zKiahcUWzTrzWd4xfr13M6rDzyOpZ/HZ0d5nGdMU7j+5tP4DHOg/160xIdmEBH+5cwZSkjSVFyzQEFzVuw4MdL6B9tGrnrii1idH7t0/Jm3l5eWhnTeObTCZ0vfY1qKpKX+xaXdL10ggBPNDxgippTx0aEMjd7ftzV7t+pBfmI6Uk2hJSqfoSx3MzuWbRdyTnV35bplGpUWH8687LS4KE/34+E633KP6z/ld+OrAZvaiXhkPq1RJUAPyQtIFWEXG80nu03855tjx7Ib8f2+U1X8YhdWYf3s5LvUf7ZSntbE+vnc8fR/eUXOvMdZ3j+njnSiIDg7mzXT+/XC+zMJ9rFn7H/uzUMv+OdCQLj+9hyYl9fD3kevrWa+aX6ymKUn18+g01ZswYXnrpJebPn8/BgweZOXMmb731FldccUVVja/WySzMZ+Wpgz4FFV1jG3NLFW/9E0IQYwkhNii0UkGFlJJ7V/zMqfwcw+/RX0WyioOLk9ERNErPRrv7Hv7YsKwkmLBXY1BR7NOdK8tVv/SndGu+oSRccO7SyfGxHLkRSVkpzD60zWsS8vvbl5Hvp8Jlz63/jQNnBRXFHFJi03XuWf5TSSVbRVHqDp8Ci/fff5+rr76a++67j/bt2/P4449z991389///reqxlfrZBX69ov9yuad+X7oBIKquddGRW1KPc629JM+JTr2i/ftU2V8qUqSZysOLo5HhxOXllGS0Fmap6BCIAgzB/q8o8SdUwU5rE2pXI+XHeknmXd4B78d3UVKQQ5SSn47uouJiycxdN6Hhs8jEFXSyO6nA5s9JgEXy7UX8ttRY0uenpzOz2HekR0eAyodSZbNyrzDOyp9PUVRqpdPSyHh4eG88847vPPOO1U0nNovKjDIYFkqZzGjV/uMqZKy11VlwdGdPle9XHnqINe17M6CIzvJtBW4PKZ4GaNLdEO2pJ/weL6zl0Ve+nxWSfDgKhcjNcoZqDQOieSmxF50iK7PjX/9YPxNe+GpkZsny0/u5/XNi8oWAQMahkRyrKiKqdGtyiYhGNawdYU7qnpyOCfd0OyUWWgczkmv9PWWnEgydD0B/H50N9e07FbpayqKUn1UrxAfhQcGMaRhK5ad3O/xE5dJaIxr2rFOBRXgrCTq6x4QDcHWtOOsGvcQvx/bzfa0k+zJPE1SVgqp1lyCTAEMb5RIu6h6vGiguRi4Di7evuYiHpn251kzFaHMHXk7rSLisJSq6dAnril/pxz28Z24FhFg4WReFsuTD1Bgt9E4NJJBDVp67MWx4MhOHlg5o9zjOpRsUTa6BFJ87K1t+/o8diMsmhkhBN7yuHVkma9xReXYC9HwHlRJINtNoKooSu2lAosKuLNdf5ac8NwATCK5uU3dK6nsbHjlW2ihI9mekczpghzGNO3ImKYdXR5365IfDfU3KXZ2cPHap84b9dnLHyahlbvhvdDrEi759TOf3ocrYWYLU5I28sexPejIktmqWEsID3UazIRWPcrtlMiw5vPY6jmAr1/J8oqThJ/qOpx+VZTIOLBBC+Yc3u71OF1KBtZvUenrNQgONzRTYxKCRiGRlb6eoijVS7VNr4B+9ZrxfM9LilqNn7VLRmhoQvBm33F+35ZYHS5o0NKnT9KlZVjz3T4npWRF8gGfz50aFcbb11xU5rG3r7moJKiwaGaahEaVe11iZDx945sayh3wRBOCP4/vKbkRFo8+1ZrHv9f/yrvbl5Z7zc8HNlOo2/1S/aN3XAJfDr7Wb7sxXLksoQMRARaPeSkmIegS07DCxdZKG9aotaHW9Q4puapFl0pfT1GU6qUCiwqa2Lon04bfzCVN2pYEFwGaiXHNOjJ7xG2Mbeb6U3ttt+xkxetWxJZKytSlZM2pQ0xN2sg3u//m4ZUzKxSwxGbk8Mi0sssnj0z7k9iMHExCcGWLzoQGuE5ofL7nJQSbArxWJz37eVH0X6OQCHLtVo/jfn/7cnamJ5d5bOnJ/ZUOKtpGxrNm3EP8cOGNDG3YupJn8yzIHMC7/a9AExquCqmbhCDUbOHNvuP8cj2Lyczd7fp7PMYkBB2j6jPADzMkiqJUL7UUUgk94prQI64Jdl0n315IiDkQk4EaA4UOB78e3cUPSes5kJVGoMnEBQ1ackPrnjU6y2HXdX5M2lDh1ydlpdAwJIJfjuzktc2LOJqbUanxnJ2oWTrH4uXPZ/Ha/ddxb/uBbl+fGBnPTxfdwhNr5rI1/QSaEAic1TOjAoN4rPMwesUn8NnOVcw9vL0kYbVZWDTXterOW1uXGGpLP2nfel7qfWnJYwWOym3JFAgaBEdUawXKwQ1bMXnYRF7ZtJDNacdLjQUGN2jFv7qPoEV45XvcFLu7/QCO52XyQ9LGMgW5ipeaWoTH8uXg6+pcjpKiKD5W3vSHc6HyZmWkFORy818/sCvzVJkiW8W/XB/qeAEPdhpc6etIKVl16hCT9q1jS+pxEIIesY3pGtOYv08fYuWpg9h0nWZh0Uxs3YMrm3chz15I/znvVeh6GoLBDVtyUeM2PLuu8o2+3G0pLX48ITOXJokdCfv6G6jvvULjtrQTrD51iELdQYvwGIY3alNmh0WOzcqp/ByCTGYahkSwIvkANy/50dBYG4dEsnTMP0r+/s81c5h9aLvPvUlKe7X3aMbX0G6I3Rmn2J15Ck1odI9tTOPQqslzkFKy+tQhvt+7jpWnDmLXdVqEx3BjYi/GNu1YZ7ZoK8r5okpKevvD+RxY6FJyxR9fsTMj2eMn4ae7DeeOthVfU3dXntnVNtniz4MJoVF8MOAqxv7xZYWvW7yEUNlyUp7qVAQIEy806cb4Vz9CHD8OjRvDZ58ZCi58sfj4Xu5YNs3QsfWCwlg17qGSv687fYRrF31XqesPbtCS29v2ZVCDlpU6j6Ioir8YvX+rHItqtPRkUlHxKc+x3CubFvLM2vlYHfYKXec/63/ldxflmV1dVRb9dywvi4dXzSQhNKrCxaWKz1UZ7oKKAM3EzYm9WTj6Xq4ZcAni88+dQcWxY3DXXZCc7P3kPmgeHmvoOE2Icg26esY1YUC95pVKHC2eMXljy2Kv20AVRVFqExVYVKNp+41VOHQeu4k7l03DVtT626hjuZn8fGAz0sdbvEPq7M9Jq9SWRqOFw9zxNFNh0x0k52cTVpyoWb++c6aiioKLFuEx9I5L8LrGr0vJhNY9yjwmhOCjQVfTKy4BKLtzqPj7P6RBS+p5yKEoDj4/2bmS6Qe3VOg9KIqi1AQVWFSjoznphndGSJyfWmcd3OrTNWYc3FLhDpQmIUiz5tEttrHPSXMmoRFZiSZrRnp//H50F9cu/L6kE2ZVBxePdRlasrzjikkIukQ35KLGbco9Fx5gYdKwG/h68HVc2Kg1zcNiSIyI4+bE3vx56b18NeR6bkrs5XUMAmdwoWYtFEWpK1RgUY1C3GyLdEcA3+xZ69NrjudmutwyaIRDSk7l5/DtkAmMa9rJcHBRfPPtHtukQtP/RhuK6UBSdgpf7Fp95sEqDC56xzfl44FXYzGZy3xFi99jl5hGfDXkOrcVODUhGNywFZ8MGs/C0ffy66i7y+yumGkgaJTAgew0tnopg64oilJbqO2m1eiiRm1Yd/qI4eUCCezKPEWB3UaQOYAcm5XZh7bx0/7NnCxaFhiV0J7rW/WgUYgzkaYymfQC5yft0IBA/tdvLJc17cCdy6Z5rZJoEhofDbyK8IAgFp/Y59tFpeSZSQsMdynVpWTyvvXc32HQmV0dxcHFXXc5g4vHHoPvv4dSQY4uJctO7mfyvvVsTXNuPe0Vl8ANiT3pFZfgdpZneOM2rBr7ENMPbmHRsb3k2QtJCIvmmpbd6F+vWYVnh8BZZMuoK/74mujAYK5u2ZUbW/eqsp0aiqIolaV2hVSjdGseA+e8j1X3LSlz85WPcyIvixv/mszpgtwyuQyaEGgI3uo3jtFNO7DkRBK3LZ1S4TH+t+clTGjdE4DblkxhebLnnigAD3cazAMdL0BKyS1LfjTUVl7DOQMRawkhZt8B7pm9lJdvGGW49fnkYTeUzwdJTnYGFU8/DR3PFCgrsNu4f+V0/jqRVKakePGOmauad+GV3qMN1SDxp2HzP/K5qZdJCCyamS8HX0efek2raGSKoijlqV0htVC0JYR3+l/uU/5CfFAYNoeDG/6aTFrRJ9zSt2xdShxS5+HVs1h3+ggXNGhJk9Aon5dDNARhZgtjm3UC4GReFktPJnkNKgTw6xFnK20hBB8OvKqkn0TppMXi0ZiLHiveq9IiPIakhAY8dv/VhoMKgAdXzuBkXlbZB+vXd85UdCxb9fSptfNZesJZUbT0+yneMTPj4Bbe2LLY8LX9ZWwFmtQ5pKTAYef2pVNIzs+uopEpiqJUnAosqtnIJm2ZPPQGGgSHez1WQ3BjYk9+OriZ1IJctzd5ifPG/cGO5WhC8OGAK31urx2gaXx6wXjCino4HM3NNLRkI4EjpSpshgVY+HrwdUy98CbGNO1A5+iG9IprwpimHTELrdw5N6Yeczb38vEGm1GYz383/lH+ibPOcyA7lbmHt3tczpHAN3vXku7D0oQ/XNeqO2bhe0aMjqRAt1eqSqqiKEpVUYFFDehTrykzR9xKVGCQ22+ASQgahkQwsVVPpiRt9HqTd0jJ8pP7OZmXRaeYhnw7ZILh8YSbLcwYcWuZpYVADy3Bz6YJwdITSfx96jAFdhtCCHrFJ/Bmv3HMGnkbb/Qdy4Kju3BIvVw1yuJgSQJNfOhk6ZCS34/t9vqpffqBLYYSSu26g3mHdxi+vj80DIngw4FXYRJauWZ23uhS8vP+zVU0MkVRlIpTgUUNqRcczk/Db6FxUWfO4ptf8Q2mZXgsP154I1GWYE6cPeXvhgROFt1oe8UncGlCe0Pf4Ce7XUi7qLKVK9tG1SMywNj20WyblVuXTuH6xd/Td/Y7vLp5IXn2wpLnJ+1bjy49p4BqCMIDg2hpsDAVOG+ua08f8XjM8bwsQzMvJqFxLC/T8LX95cJGicwYcSujmrTzObjwJflTURSluqjAoga1jIhl4aX38vkF1zCmaUeGNGzF5c068e2Q6/nlkrtKMv8tJuObd4JKHftAxwsINJnd5luYhKBVeCyXN+tc7jmLycyE1j18zgHIsRfy5e41TFg0iVybM7iYdXCr11wNHcnOjGTe6DMGi2b8/RZ6qU4abAowlG8ikYSYaqY3RcfoBrw74ArWX/EoX15wreHXhRloPa4oilLdVGBRw0yaxoWNEnmz3zi+Gnwdr/cdw6AGLcvc0Ic3SjQ0nV8vOIzEiPiSv7eJjOfbIRMID3TegATFsyLO/28bWY9JwyYS7GaL6n0dBtIhqr7PwYUuJdszTvLW1r8AyCwsMPxaIZwlsY2KK9Wq3ZUhDVuWdC31xCElQxtVbXtyb8IDLAxp2IpmYdFeQyGTEFzWtEO1jEtRFMUXKrCoA25K7GVod8Ytib3LbZnsFZ/AijEP8lrvy7iwUWt6xyUwOqED3wy5ntkjb6eehyTSEHMgk4fdwLUtuvmUcwHO4GLq/k3k2gqJ8KEiZ2RgMCE+1OLw1pp9R8Ypr+fQgE7RDegS08jwdauKEII72vbzunwjgRuKtgUriqLUJqpAVh3QNbYxj3Yewltbl7jpUCoYWL85t7Xt6/L1weYArm7ZlatbdvX52mEBFl7sfSn/7DqMlckHybUV8u72pRw3kPeR77CxNuUw45p14ru9az0GRxqCtlHxNAuLNjw2DcHpgly3z+/PSuX97cu8nsckNN7pf4Xh61a161t1Z0vacX46sLnc99skBFLCG33G0Oqs5meKoii1gZqxqCPu7zCIt/qOKykHXSwqMIh/dBzI5xdc67a0tD9EBgYzKqE9V7fsWrKkYkS+3cYNrXsivLxKR3JXu/4I4UziNPqD6SnP4IekDcZ2hEi9TG5KTRNC8Erv0bzW5zISI88sbQlgSINW/HjhjVzevHxejKIoSm1Qe36bKl6Na96Jsc06si39JKfyswkNsNA9trFPyZ3+0CQ0khP5WV6rawI0ComgeXgM7w24ggdXzkQiy8xcaEKgS8nd7fozpqmzsNWIxm0M9dHQkQxvlOj2+VXJBw01fZM462k0DKk9lWCFEFzdoitXNe/CibwscuyFxAWFEmMJqemhKYqieKQCizpGCEHnmIZAwxobw7Utu7Pm9GGPxwicVTWL8xYubtKOmSNu5cvda5h3eEdJQmWfuKbc2rZPmQ6hwxu1oWFIBKfys90GBiYhGFS/Bc3PmsEpzSaNt5y3+9ievroIIWik+oIoilKHqMCiDtuXlUJyfjZh5kA6RjfEXE29Li5JaMe725dyNDfDYzXQBzsNLlNRs0N0A97sN46Xe48mozCfEHMg4S6WMsyaxmeDxjNh8STy7IXlrmESgsahUbzed4zHcbaPrM/B7PRyRblcKb2bRlEURak4FVjUQb8f3c0H25exPeNMe/D4oFBuadOHO9r2q/IAw2Iy8/3Qidz412QO5aSjIUpKZhc39nqm20UlSxuuXl/fS0nzDtENmDXiNj7csZw5h7aXzHCEmQO5tmV37uswkChLsMdzTGjdg3lHPFfT1BB0jG5A++j6Ho9TFEVRjFHdTeuYr3f/zYub/kAgkGftDxE4Kzl+NPDqapm9yLfbmHd4Oz8mbeRwTjpBpgCGN05kQqsetI2q57frZBbmcygnHZPQaBUeS6HuYOnJ/WTbCogPCuOCBi1d5plIKblz2TSWnEhy2StE4Fxq+G7IBPrXb+638SqKopyLjN6/VWBRh2xPP8nY37/0eIwAnu52Ebe72Xpal+Xbbbyy6U9+OrCZwlI5EZEBQdzVvj93tetfrphXvt3GY6tn89ux3SWzKcVbOEPMAbzd7/Iy+R2KoiiKa0bv32oppA75bu+6kpujOxLnrIarYll1mdVh56a/fmBT2rFyu1EybQW8sWUxh3PSeanXpWXyOoLNAXw06Gp2picz7cAmDmWnE2Q2M6h+C8Y160xoQGB1vxVFUZRzmgos6pA/ju42lIh4Ij+LfVkpfl2OqGlf7l7DpqIW6+5M3b+JEY3bMqxUaW67rrPg6E6+37uOrWknAGdvjrAAi8fW8g5dRxPC53buiqIo5zsVWNQh+Q6b4WPz7MaPre0cus73e9d5DCrAuVvku71rSwKLfLuNO5dNY9WpgyX1MgA2px3nkdWzmZK0kc8vuLZk1iI5P5tJ+9YzLWkTKdZcAjUTwxu14eY2vegd37Rq36SiKMo54tyZKz8PeNtJUebYEOPH1naHctI5VZDj9TiHlKw6dajk70+vnc+a086/l14+Kf7z2pQjPPn3PAA2px7j4gWf8snOlaRYnWXCC3UHvx/bzXWLvjdUGlxRFEVRgUWdcl2r7l5bgGtC0K9eMxq5qCKZY7OyJe04W9KOk22zVtUw/a5Q99wavTS7riOl5GhuBvMOb/dYHVSXkgVHd7Il7QS3LJlCrr2w3PHFS0/vbFvKnEPbK/YGFEVRziNqKaQOuaZlN77YtZpMW4HbG6aUkvs7DCrz2Kn8bD7YvpzpB7dQ4HDepAM1E5c368wDnS5wGYTUJo1CIjELzVD78yahkQghmH1oG5oQXkt6m4Tgf1sWkW2zltu+W5oAPtyxnDFNO6i8C0VRFA/UjEUdEmMJ4fuhE4kKDC43b2ESAk0IXu8zhgGlajIczc1g3O9fMWX/xpKgApzT/NMPbmbc719yIDu1et5ABUUEBnFpQnuvDcUEoqSV+Kn8HEPN0gSCrWknPAYV4Nxtsy8rhd2Z3tuwK4qinM9UYFHHtI+uz5+X3sPT3S6idUQcEQEWGgSHc0tiH34fdQ9XtuhS5vgHVs4g1Zrr8pO7Q0oyC/O5Z/nPVHM5E5/d12EgAZqpXJ2KYiYhaBgSzjUtuwHOrqdG31HpgMubFA9t2hVFURS1FFInRQYGc3vbvl6LYG1JPc6Woi2W7jikZF9WCn+fPkzfes38OUy/SoyM59shE7hz2VSybNaSIlfFuz2ahEbxzZDriQgMApwdUj/ZudLree1SJ94SymmDAYOr3iaKoijKGSqwOIf9cXyP14JaAGah8cexPbU6sADoFZ/A8jEPMvvQNn49upMMaz4NQiK4snkXhjdOJEA7U5eia0wjOkU3YGdGsscOqW0i4xncoBVf7F7tNR+jfnA4naJrrqusoihKXaACi3NYTtEneyNy68gukdCAQCa07sGE1j08HieE4MOBVzH+z29dLgWZhCDaEsJHA6/GJDS+2r0G3UumxW1t+pxT1UwVRVGqgvoteQ5rEBzutagUgERSz4caGXVFk9AoZo+8jQmtehBsCih5PMhk5vpWPZg94jaahkXTODSSt/tfjhCiXIJo8d9GJ3Tg1jZ9qnH0iqIodZNqQnYOO56XxeC57xtKYvzz0ntpER5T5WOqKbm2Qg7mpAHQPCzGZY+QTanH+GTnSv48tqfka9YyPJZb2/TmulY93CaOKoqinA9UEzKFRiERXNG8M7MObnM7c6EJwYjGbc7poAKcSygdoxt4PKZbbGM+GTSedGsep/JzCDEHltTFUBRFUYxRgcU57r89R3G6IJdlJ/eX6ZdR/OdecQm80WdsDY+ydom2hBBtCanpYSiKotRJKrA4xwWZA/jygmv5/dhuvt+7ji1pJ5BAx+j63JjYi0uatCuzm0JRFEVRKkMFFucBk6YxKqE9oxLa1/RQlCK5tkJWJB8g22YlNiiEAfVaeGzjriiKUleowEJRqpHVYeetrUuYvG89+Y4zre2jA4O5s11/7mzXTyWJKopSp6nAQlH8LNtmZdGxvaRZ84gIDGJ4o0SiLMEUOhzcsXQqq08dKpdMm16Yz+tbFnEoJ42Xel2qEkYVRamzVGChKH5S6HDwv62LmbRvPVaHHQ2BjiRAM3F18y4khEWx6tRBj9t/p+7fxPBGiQxv3Kbaxq0oiuJPKrBQFD9w6Dr/WDmdRcf3lgQOxbMSNt3B1P2bMGua15oiJiH4du86FVgoilJnqcqbiuIHcw5vZ2GpoOJsOpJC3eH1PA4pWZV8sNZ3m1UURXFHBRaK4gff7lmLZrgzi2c6EruXxnGKoii1lVoKUZRKsjrsbE333J7eF/WCwlRtEUVR6iw1Y6EolWTX/Te7oCGY2Lqn386nKIpS3VRgoSiVFGIOIM4Savh4dwsmJiGICQrh+lbd/TMwRVGUGqCWQpQadzo/hxkHt3I4J51Ak4lB9VswtGFrTFrdiHuFENyQ2JP3ti3z2KbeJAQjGrdlRfIBcmxWACSUbEuNDwrju6ETiA0yHqQoiqLUNiqwUGqMQ9d5dfNCvtm7FiQlFSe/27uOBsHhvNv/CnrFJ9TwKI2Z2LonPyZtJKUgB4eLHR0mIQgLsPCvbhcRHhjErINbmX94B+mF+dQPDufK5p0ZldAei0n9k1QUpW4T0sd9bceOHePJJ59kwYIF5OXl0bp1a77++mt69epl6PVG+7kr575n1s5n2v5NLj/jawjMmsbU4TfRJaZRtY+tIg7lpHPrkh85lJOOSQgcUpbMRtQPDuerwdfSLqp+TQ9TURSlQozev336eJSens7AgQMZNmwYCxYsID4+nr179xIdHV3pASvnl21pJ5i6f5Pb53Ukdl3npY1/MHX4zdU3sEpoFhbN76PuYfGJvcw5tJ3TBTlEB4ZwWdMOjGjcVjUZUxTlvOBTYPHaa6+RkJDA119/XfJYixYt/D4o5dz3Q9IGTELD4aFeg45kXcpR9maeJjEyvhpHV3FmTWNE47aMaNy2poeiKIpSI3zKjpszZw69evVi/Pjx1KtXj+7du/P55597fI3VaiUrK6vMf4qyJe24x6CitB3pyVU8GkVRFMVffAos9u/fz8cff0xiYiK//fYb9957Lw8++CDffvut29e88sorREZGlvyXkFA3kvEURVEURfGdT8mbgYGB9OrVi5UrV5Y89uCDD7J27VpWrVrl8jVWqxWr1Vry96ysLBISElTy5nnu/9YtYOr+TYZmLX4fdTetIuKqYVSKoiiKO0aTN32asWjYsCEdOnQo81j79u05fPiw29dYLBYiIiLK/KcoE1r18BpUaELQJ76pCioURVHqEJ8Ci4EDB7J79+4yj+3Zs4dmzZr5dVDKua99dH1u8FC6WhOCAM3Es91HVOOoFEVRlMryKbB45JFHWL16NS+//DL79u3jhx9+4LPPPuP++++vqvEp57D/9LiYe9oPwCw0BAKz0DAL549ko5BIfhx2Ax2jG9TwKBVFURRf+Fwga968eTz99NPs3buXFi1a8Oijj3LnnXcafr0qkKWcLc2ax+xD25wlvTUzA+s3Z1CDliWVOBVFUZSaZ/T+7XNgUVkqsFAURVGUuqdKkjcVRVEURVE8UYGFoiiKoih+owILRVEURVH8RgUWiqIoiqL4jQosFEVRFEXxG5+6myqKcu6y2RwsXbabxX/tID09j+joEC4c1oELBrUlIKByLd937T7B4r92kpWVT2RkMBcO60CbRFWjRFHORWq7qaIoHDh4miefnkpKSg6aJtB1WfL/8XHhvPrKNbRo7nvr+tTUHP7zwkx27DiGyXRmgtTh0OnSOYF//9/lxESHlh/PgdPMmrOBpct2UVBgIzY2jEtHdWX0qK5ERoZU6r0qxhQW2lm2fA/r1u3HWminYcMoRl3chSZNYmp6aEoNUXUsFEUxJCUlmzvv+Yrs7AJ0vfyvA00ThIcH8fkntxEXF274vDk5Bdxz/zckJ2ficJQ/r0kTNG4cw4fv30RoqKXk8dlzN/Due79jMokyrxNCEB5m4Y3XryOxtbHZjqNH05i/YDNJ+0+hCUHHjo0ZPaorMTFhht/H+WjjpkM8/99ZZGXlo2lnCtXpumTERR157JFRBAaqCe/zjapjoSiKIdNnrnMbVIDzZpKdXcCMmet8Ou/MWes5edJ1UAHg0CVHjqYxd97GksdWr0ni3fd+dz5/1uuklOTkWvnnk1PJzMr3eG2HQ+f9D//gpls/46ef/2bdugP8vXY/33y7nGsnfMjPM9b69F4ATpzIYPacDUz9aQ1/LdlJYaHd53PUBTt3HufJp6eRnV0AOL//xf8B/LlwBy++PIdq/kyq1CEq5FSU85jDoTNv/ia3QUUxXZfMnb+J228bUmZJw9N5Z83Z4PW8UkpmzlrPtdf0RQjBpMkrEEK4vWkVBzkLFmzmumv7uT3vp58vZuas9SWvKX09hwM++nghQZYALhvdzet7SUnJ5s23F7Dm7/0I4Zw50XVJaKiFidf3Lxn7ueKTzxah67rb74GUkuUr9rB121G6dE6o5tEpdYGasVCU81hWVj65uVZDx+bmWks+xXqTmZVPenquoWNPp2STm2vl2PF0duw87vWTsJSS+Qs2u30++VQm0w3MSHz+xV9uZx0cDp2Fi7Zzz31fc831H7Lm7/1F1z4TqOTmWvnsi7/45NNFXq9VVxw6lMLWbUe9BoQmk2D2nA3VNCqlrlGBhaKcx3zd7WEOMPYroyKf31NSsg0fm5qa4/a5Bb9uMTSDkJ1TwPIVe8o9brXaePpf03jplbns2Zvs9Tw/TV/Lrt0nvB5XFxw4mGLoOIdDsm+f96+Ncn5SgYWinMdCQy20aB6Ht/uwENCieRxhoUGGzhsZGUK8wUTPhg0iCQ21EBISaOh4gOCgALfPHT6cipHlf5NJ4/Dh1HKPv/ve76zfcMjwWEwmwazZ6w0fX5tpPtwRhHbuLP8o/qUCC0U5jwkhuPKK3l5vxFLClVf0NnxeTRNcPq6n15kDIeDyy53HtWxRj7g477s1TJpg8AXt3D9v0rwGSgBIWS5fJCUlm9//3OZTYqLDIdm40XggUpu1bdvQ0NfOZBJ0VfkVihsqsFCU89wlF3emT++Wbm8oQkCf3i255OLOPp338nE9aN4stsx2xdI0TdCqZX3GjO4OOAOCq67s7fXGpkvJ2LHd3T7fpXOC1xwBcO5KOTv5cPFfOw3NdpQ7l0P3/UW1UP16kfTt29rt96yYwyEZO8b99+BsmZl5rFy1l6XLdnHgwOnKDlOp5VRgoSjnOZNJ47/PX8XVV/bGYnFuFCu+uVssZq6+qg//ff4qQ7tBSgsODuStNyfSq2cLwBlImM1ayU2rX99WvPW/6wkqtaxx9ZW9GdA/0WVwUfy6Rx66xGOxrouGdyxzTlc0TZDQJIYuXcoGFmnpuZhMvk/x5+cXcu8/vuWrb5Zy6lSWz6+vTe6/ZzghwYEeg4t27RoSG+t9qSstPZdXXpvH+Os+4Nl/T+e5F2Zx+11fcu/937Bh40E/jlqpTVSBLEVRSuTlWVm9JomsrHwiIoLp17cVISEW7y/04vCRVJYs2UVmUUnvYUPau63g6HDoTJ+xlukz1nG6VEJnp05NuGHCAPr0bun1en8t2ckLL85GCMrNQGiawGzSePvNibRv36jMc5Mmr+Sb75YZmvFwpfhm/MD9Ixg3tkeFzlEbHD6cygsvzWL/ftezC5omiI0J4923J9KgQZTLY1JTc7j/we9ITcnGcdbXs3iJ7D//dzmDL2jr17ErVUdV3lQUpU5zOHQOHjxNXn4hcbHhNGwY5dPrV6zcy4cf/cnJ5Ew0zVkbQ0po1aoejz0yinZtG5Z7zaFDKdx6xxd+Gf9TT1xG06ax2G0OGjWKqnPVPv/70myWLNmF7uYWoWmCZk1j+eKz213m0vz7uemsXLXPbZAmhHNX0rQf/0FERLBfx65UDaP3b1UgS1GUWslk0mjVqn6FXz9wQCL9+7Vm46ZD7D9QXNK7icuAolizZnH06N6MzZsPl/uU7avX3phXMlsihGBA/9bcfOMgWreu+HuqLqdOZfHXEs/5JrouOXAwhY2bDtGje/Nyr1+xcq/H10vpbHz32x9bGX9VH/8MXKkVVI6FoijnLE0T9OzRnKuv7M0Fg9oSGmohP7/Q42ueeXos9RtEus0xEBir01H6piqlZNXqfdz/4Hds3FT7d5AsXb4bI+/SZNJY/NfOco+v33DQUBKslLBmTVIFRqjUZmrGQlGUc5bDoTNn7kamz1zH8ePpAJjNGsOGduD66/rRvFlcudfERIfy0fs3M2XaGubN30hOjrMyqcViZtQlXdiy5Qj7K7CzQdclUur8+7kZTPvxfoKDjdft8Bddl6xdt5/f/9jG6ZRswsOCuGBQG4YNbY/FcibhNTsrH5NJYLd7K/Wuk+Wib0thod1lfosrBQU2n9+HUrupwEJRlFrH4dBxOPRKddC02x3833+m8/fa/Wc9rrNo8XaWLN3Fay9fQ9euTcu9NiIimLvuGMotNw3ixIkMdClpUD+S4OBAHnpkUoXHJKUkN9fKwkU7DPUp8afTKdk8/cw09h84jaY5+50IIVi1eh+ffLaYl/57NR07NAac799d87jSNE0jykUb+wYNIg0XKWvcWLVhP9eopRBFUWoFKSXLlu/mkcd/YOSo17lk9P+4cvx7fPPtMtIM9h0p7dvvV/D32v1IWf6Ts8Mhsdkc/Ov/fvbY/yQw0EyzZnG0aB5fMsPQq1eLSjUdEwKXpcSrUn5+IY8+9gOHDjtLdhcnVBbn7ufkFPDPJ6dw6JDz+cGD3RcgK83h0LlwWIdyj/fq2YKY6FBDr7/0ki6GrqXUHSqwUBSlWum6ZO3a/Tz/35ncfd/XPPLYD0ydtoaXXpnDf56fydatR0oCgYyMPCb9sJI77vySAweNLz9YrTZmzVrvJXlQkl9QyG9/bPVp/KNHdfVaQMoTKSHHYOM3f/n1t60cO57udhZC1yU2m53JP64CID4unOEXdvD4Pk0mQetW9crVAnE+p3HLLRd4HJOmCbp2SXD5eqVuU4GFoihVorDQTmZWPjabo+SxjIw8/vHgdzz5zDSWL9/D3r3JbN5ymE8/X8yixc4kwLO3J+q6JCs7nyeemorVamw9ftPmw+Tmeb95SwmLFu/w4V1BTEwYjz58CYCx0uFn0TRB/XrVu9V+9lzvnUgdDsniv3aWzOA88tDFdGjfqKhVfNljNSGoFx/Biy9c7Xb25rJLu3H7rYOdx5cKUIr/3KF9I/77/FXnVMt5xUnlWCiK4lfbth3lp+lrWbFyD7ru7McxZHA7rri8J++9/zv7958C8Gk7p65LUlNz+GvJLi4e6b20eE6OsfbugOFW8KWNuqQL4eFBfPbFXxw9mubTa3Vdcomb9yClJC0tF5vdQUx0aKVyTEo7dizd0HEOh87J5AzCwxsQHBzI/16/ngW/bmHGzHUcKXqfMdGhXD6uJ+PG9iA83HNTuokTBnDBoLbMnruBdesOYLM7aNY0jrFjutOnd0ufq7k6HDpr/k5i85YjOOwOEhJiGX5hB8LCjDXHU6qHCiwURfGbWbPX894Hf2AyiZKZB4dD568lO32eGTibEILf/9hmKLCIjvK+vu88J8TEGDv2bIMGtmFA/9a88OJsli7bbeg1JpOgRfN4ehaVOS9mtzuYO28TM2atKwkCLBYzF4/szLXj+/pcHKzcdTWBw+H9OACzyVTy58BAM+PG9mDsmO7k5RWi65KwMIvXWQYpJdt3HGPuvE0k7U/GbNLo1681Yy/rTuPG0RV6D5s2H+LlV+eSkpJT0mjO4dD56JOF3HzjIK6/rp+a/aglVGChKIpfbN58mPc++AOg3Fp+RUtkl+b8NJ9j6NiuXZsSFRVCRkael3PCxSN8a65W2pKluw0HFQBNmsTyykvXlFkaKCy08+y/fy5X+8FqtTN//iYWLtrBm69fT5s2DSo8zq5dm7J+w0Gv34fIyGASEsrv0hBCEBpqrLR7YaGdl16Zw7LlezCZRMnPwr6kU/z089/cessF3DBhgE9BwNZtR3jiqallgtViNpuDL75agtVq49ZbBhs+p1J1VI6Foih+MfWnNZVKavRGCAyXfjaZNK6/tp/X81ksZhYu2sG//u9nfp6x1udlkZ+m/23oPYeGWnj80VF88uHNxMaWLe395VdLWL/hkMtEU4cuyc8v5Mlnplaq3sMVl/fyGlRommDcmB6YzSaPx3nz+v/ms3zFXqBsgFl8/a+/Wcas2d5zPopJKXnn3d9wOKTH9/D95JWcPJlRsUErfqUCC0VRKi0318qav5P8MjPhjpS43NroztVX9WbMZd0AXN78i0tKb9x0iFWr9/HxJwsZf937LFy03dD5MzLy2LXrhKH3nJ9fyMUjO5cpQgXOpm9z5m3EU8smXZdkZua7rHBpVN8+Lbl4RCe3z2uaoGWLeK69pm+FrwFw4OBpFi3e6fH9AHz97VIKC+2Gzrlr1wkOHEzxek5NE8z/ZbPhsSpVRwUWiqJUWnZOgaGCSBVVPBV/0fCO5Z5LTc1hz56THDmaVubmI4Tg4Qcv5sUXrqJH92YlOxsCAs58Ii8dFEgJhYUOXnplLitX7fU6pjwvpcFL03XJHXd9ycOPTmb23A3kFe1YWbvuAFar9xusEKJSOSpCCB5/7FJuvmlQST2O4qUIk0njouEdefvNiZWuBvrLgs2G2s7n5FgNfY0Bdu0+YWj3ja5Ldu46buicStVSORaKUoMcDp216w7w58LtpKRkExERzOAL2jL4grZ+2xFQHcLCKt9a3R2TSWA2m3nlxfFl1vk3bT7E5B9WsX7DwZLHGjeOds5UjO6Opomi5l+JDOifiK5Ltu84ykOPTPZ4PSHg408X0b9fa495AFGRwSUVLI04dDgVIVLZsvUIX365hJdevNrw0ouU0mXpbF+YTBo33ziIa8f3ZfWaJNLScggJCaRvn1ZEGyhmZcSxY+5rZZw9luPHM/xyzdKqt1e34k7d+c2lKOeY5FOZPPXMNA4dSi1TYnn5ij18/OkiXnlxfKUS9qpTWGgQ3bs3Y+PGijfY0jRBRHgwwcEBnDiZCThnFy4a3pFrr+lL04TYkmN/+30rr/9vfrkb//Hj6bz73u9s23qUp58aU65+wm+/by2TUOiKlM4b5NZtR+nS2X3xppAQC23bNGDnrhOG32PxjS83r5AnnprGXXcMMfQ6IYTfbv5BQQEMHWKssqavAgPNhnqESCkxm41NmCcm1jcUMGiaoK2HzrVK9VGBhaLUgJzcAh597AdOnc4CypdYzszM49F//sCnH99K40YV255X3Tq2b1ThwELTBEOHtOOB+0cQERFMSko2hTZnLYfi6fmkpGS2bD1KSmo2U6asRkK5dffivy5cvIP2HRpx5eW9yjy/f/9pQ5+oAQ4fTvUYWMyYuc6noKLsOCV2u51du08QEhJIXp7nZRUpJSMuKr8MVNv07NHc0C4ZXZf07NHc0Dk7dmhM06axHDmS6rWNe3X3X1FcUzkWilIDfvllMyeTszyWWLZabUyZsrqaR1Zx9etH+fwaIaBp01im/Xg/zz4zjsjIEIQQxMdH0LhRNMHBgSTtP8V9//iWO+/5mg8++oMfi4IKb37+eW25ZYrS+RXeeCredOxYOh9+/Kfhc7nirHS5i3Fje3jMIdA0QXx8OBcMalup61WHi4Z3JDg4wOv76dC+Ea1a1Td0TmeuzMiipS33x113TV8aVbLeh+IfKrBQlBowe+4Gr1nuDofk9z+3ke9DkqC/5OQU8POMtdx25xeMu/Idrpv4ER9/spBjx9JJSclm/i+b+Wn63yz+a2fJNsi4uDAvZy1L0wTBwYE8/+8riIlx/dqkpGQeeOh79uw9Cfi2hn4yObNcf5FuXZu63h7q4sSdOzUp+fPplGx27DjG/gOnnK3Y5210nX/h4yK/3e5gxEWdGFLU9OvssWmaIDIyhNdfubZO5NwEBwfyzFNjANdBgKYJQkIsPPnEZT6dt1vXZrz84jVERjg7qZpMWkmRLLNZ46YbBnLH7UMr/wYUv6j9P6mKco5xOHROnMg0dKzN5uDUqSyaNYur4lGdkbT/FP98YgqZWXkl98ns7AKmz1zHT9PXlhxXnBcSHBzIteP7cN21/YiMDCEz03NRqmKJrevzxD9Hu3xve/aeJCnpFN9NWo7VaqtwUl7eWf1CLhvdraTRVrHmOclcf/AvPkm8lHRLOEJAkyYxvPLaPE6czKCgwFamhkRsbBgOh15uNiTams09e3/hx+ZDORhm7NM4QJDFzLPPjGPQwDbMmLmOHTudOxvMZo2wsCAaNIhk/caDxMaFERZa+0tXDxzQhjdevZaPPl1UUr69WM8ezXnwHyMrVH2zd68WTJtyP8tX7GXzlsM4HDoJCTGMvKgTkS5atys1R0hvH5v8LCsri8jISDIzM4mIqN5GPIpSG0gpGXHJ64Z3E3z/zd0VLoPsq8ysfG697XOysvN9rkkx6pIuNG8ex8efLHJ7jBAQGRHCyy9eTbt2jco9v3nLYT76eCF79yX7PHZXvv/27nI5KtNnrOXDjxc6/yIlT2+fRtPc06RYIni7wxWkW8J9DmSirdk8unMmcdYsDofG80rHawx1KIuLC2fK5PtKZiqOHUvnn09O4WRyZrkdJyEhgbz4wlV069rMt8HVECkle/cmc/DQaUwmjQ7tG1e6NLlSs4zev9VSiKJUMyEEnTs1MVSxMSYmlAYNIqthVE4LFmwmM8v3oAJgwa9baNE8nquv6g2UzVEovsc2bBjFxx/d7DKoWLt2P48/8SP7kk6Ve85XmiZo166hy8TXq67szT8fu5SoqBAQgk/bjiYlKII4axaP7ppFdKGxsuHFSgcVKZYIPkm81HDb05SUbP7x0Hds3HSI7OwCHn28fEJvsfx8G0898xMHDhhvH1+ThBC0adOAkSM6M/zCjiqoOI+opRBFqQFXXN6TzVuOeDxG0wSXj+3pcwfIypj3yyavuR/umEyCWbPX8+ILVzOwfyKz5qxn7boDOBw6DRtGMW5sD0Ze1MllEabCQjsvvjIHXZd+qUWg65KJ1w9w+/yoS7owckQn1vydxNGjaWTmDqbR288Re+Awj2yfwVvtnTMX3pwdVBh9XWm7d5/k8SemcNHwDqSkZrt9/86dJA4m/7iKZ58Z69M1FKU6qcBCUWrAoIFtGTqkHUuW7HK5w0HTBImt65d8+q8uKSm+fVovzeGQbNp8GHA2veratanh1y5ZuqtC7cvPZjJpOBw69907nIEDEr0eO6D/mWPumbeRG49/65y52DnTa5BgJKho3aoeyaeyPL43KSVCwB9/ei8lruuSJUt38tADI722LFeUmqICC0WpAZom+NfTY2nUMJrpM9ditdpL1tSLSyw/cP9FBAUFeD+ZH1ksZsM9HFwp3XXSFxs2HioJCipCCAgKCuSCQW24YlxPl4WSbDYHK1buYeGiHaSl5RIZGcyFwzqUVDlNyhG81f6KkmDBU3BhdKZCSvjkw5uZeNOnHsfvyyyNwyE5dTpLBRZKraUCC0WpISaTxh23D2HihP6sXLWXtPRcwkIt9Ovb2m9VFn01aGAbfv9jq+EiUqUJAQlNyrfcNsJmc1RoCUYIuHRUVx57ZJTH4w4fTuWJp6dy6lRWmSqnq9ck8elni3n1lWsICDCRbgn3Glz4svyRm2dl02bPS14V8cOPq7jrzqHUr1d9+TeKYpRK3lSUGhYcHMjwCzsy/qo+jLqka40FFQCXj+tRoaACnJ+6x43tWaHXNm4U5dPxxY2u+vRuxZDB7UhLz3V7bFpaDg8/NpmUlGygfJXT1LQcHn50Et27NcNkEiXBRYoloiS4iLY6X+trTkV8XDiFhXajuZyGLf5rJ7ff8SW7dles8qeiVCUVWCiKUiKxdQPuvedCAI8NuM5m0gTNmsUx/ELjbc1LG3VJF0M7UTRN0L59I5o0icFk0ljzdxJPPDWVa677gOdemMnhw6nlXjNz1nqyvOx0yc0t5MjR1JKgylVw0TL7hM+JmqMu6UL9+pGGe134Ii+/kKeenkpurtX7wYpSjVRgoVQZKSWycCN69tvoWS8jc79GOlJqeliKF+Ov6sNz/76Cli3jyzweFhaEpaj6Y3HMUTxz0LJVPd58/boK54QEBJhLzu3JFZf35OTJTI4eTSuTj6HrkuUr9nDvP74tqdJZ/PjceRsNBS1Hj6bTsUPjkr+fHVz8c8d0w0GFEBAfH86woe3p3auFoVkoXZcM6N/a63GlZWUX8OdC70mfilKdVIEspUpI+35kxsNg3wWYAAHozv8Pvh4R8TRCVG9iouK7g4dSSEnJJiQ4kLZtG2K3O1j8106Wr9hLbq6VevXCuXhEZ7p3b+bTDMfZPv5kIT/PWOv1k329+HBSUnPcBgqaJoiNDeOH7+/FZNLIzi5g3JXvGB6HyaRxz90XMmPmOk6cyACgZfYJ/rljeskxb3S4iv3hnrtoxsaG8eYb15d0ZJ03fxNvvfOr2+M1TdCxY2Pe/t8E/vHQ9+zyoblZ+3aN+PD9mwwfrygVZfT+rZI3Fb+T9iPI1OtAZhc94ih7QP5kpEyHyLcqdTNSql7zZnE0L1Vy22TSuOTiLlxycRe/XaOw0M78BZsNLRecOp3t8Xldl5w+nc2av5MY0D/RcGvuM6/XcdgdfP/N3ezadZysfQdp99ZzRCTW5+TJTLKzC7g16Q+3MxYNGkRw+diejLqka5ldG5eN7kZ6Ri5ff7OsTEXN4j+3a9eQF5+/Gk3TaNggyqfAIj09l6XLdpGUdAqhCTq2b0zPni1cLq1IKXE4dMxm483YFMVXKrBQ/E7mvF0UVDjcHQEF8yF4PFjcFzFSal5OTgGbNh+moMBGvXoRdOporGKoL1JTc7y2DfeFyaSxavU+BvRPJDg4kMTW9Q2XCNc0jcNH0pwdOGPN8PTrkJMOTZoQ8/FnZNxwD3EnT5TbLTKgfyL/fGyUx54VN04cyAWD2jJ7zgbWrT+A3eagWbM4xlzWnW5dm/L32v2cPp1FZmYeQhjfgno6JYvnXphVUkjN4dCpXy+Cfz52KT2KWpMn7T/FzFnrWLhoJ1arjaCgAEYM78gVV/QqEzie7dSpLJYu301WVj6REcEMHtyO+DjfCoAp5x8VWCh+JfU0KFiA+6CimAmZNxmhAotaKTfXyqefL+a337dis535XtavH8GtN1/AyBGd/XYt4edARUpZpmnYlVf04rU35ht+fYDZBMnJcNddcOwYNG5M2qtv8/ibi8hsMJLHMmYSV+BM6Hy7w5WkBYbRo3szQ42wmjeL46EHRpb8Xdclk39YycuvziU/v7BcfxAjihNOS+ecnDqdzZPPTOXVl68lLS2H116fj9BEyTEFBTZ++XUzv/y6mX89PY6hQ9qVOWdurpU3317AkqW7AFEyro8+WcTwCzvwyEMXu6ygqiigkjcVf7PtxHtQgfMY20afTi2lA1mwGD39HvTTI9FTxqBnv4G0+79OwPksN9fKQ49O5pcFm8sEFQDJyVm8+vp8fpiyys2rfRcfF06MX7fYyjKfqi8a3pE2bRoYeqXDodMrIaRMUGH/6GP++dYijhxNJd0SzpvtziR0PrJjBtHWbD746E8W/7XTt1FKyTvv/cbX3y4jP985Y1ORHi3uzq3r8Mqrc3n19fnoRUsgZd+rxOGQvPTKbJKSzszoWK02Hn/yR5Yu242UZ5ZPpJRIKVm0eAdPPDW1UoXUlHObCiyUOkHqGci065EZd4N1CTgOgn035H6FTLkImftdTQ/xnPHt98s5ePC0x5vcF18uYf+ByjcLA+fSxbhxPfyWb6PrcPHIMzMqs+du4OBB7427hBA0s9jp//XrJUEFn33Gyv1ZHDiY4nErarQ1m6++WepTka+Nmw4xb/4mn9+fUVJK0tJzDdTQEPw8Y23J3+bM3ciePSfdfv91XbJj5zF+WbDZf4NVzikqsFD8y5yIsR8rE5g7GTqllDoy/S6wbS16pPSnaAcgkdkvIvPn+TZWpZz8/ELm/7LJ6ydnk0lj9uwNfrvu1Vf2pkXzOLf5G77EHCaTRmxcGADTflrDBx/+SWGh51k0IQQxtmzeyl6Cdvx4SVBB/frM/2VzuXG5Ci7y9h/mvy/NZvacDeTkeO97Mmv2hgo1mDObNRo3jjb8NfH2vXQ4dBYu2ond7qx+OmPWekP5HTNnra9wwzrl3KZyLBS/EqZ6SMtFYF2I5yURByL0BmMnLVwBtk1eD5M5b0PQaLXTpBL27DlJfr7N63EOh87qv5NcPr5x0yHS0nIIDbXQo3tzQ2vxwcGBvP3mRN54cz7LV+xFCIFJEzh0Z4OuTh2bsGWrsSUvh0PnugkfERYWxKlTWYZe0yU+gOeO/01kbnqZoALg+PEMlzdnV+W/39YES5bu4qNPFnLDhAHcMHGA25/HTZsOGe6N8sF7N9K4cQyFVhuRkSG88eYvnDiR4bcbu93uIDevEKlLkpMzvR4vJRw5mkZeXiGhoRa/jEE5d6jAQvE7Ef4osnAFyAJcBxcaBA6GwEGGzifzpuKsheEld8NxBGzrILB6O4KeS3xZNy89CyClZPrMdfzw4yoyMvJKHrdYzIy5rDt33DaEQC8FsMLDg3jhuas4eTKDZcv3kJVdQHRUCEOHtCMvr5Cbbv3M8Njy8goN7zSJtmbzn2N/E5lTPqgACAp2X2/l7OCidMv1r79dRn6BjbvuGOrytQ4f8il0hyQyIhgIBqBli3osWuxbTocnQkBwUIChmZYy4/JTTohyblFLIYrfCXNLRMwPYCouImTGGRgUFcoKGoOIfh8hDP74OQ5iLCEUUImcldKwYZSh44QQJf09pJR88NGffPTxwjJBBYDVamf6jHU8+bTxZL8GDaIYf3Ufbr91MOPG9iAqKpQmTWJo56JjaaVJyb37fsFx+KjLoAJgQL/WHrfYnr0scs/eX0r2ik6ZupqjR9Ncvq5pQoyh2TUhBI0aR5d57OKLO6MZ+OdjMmletwebTIL+/VoTGGgmMjKEiIhg7ycGYmJC1WyF4lKlAotXX30VIQQPP/ywn4ajnCtEQHtE3J+I6C8h5FoIvhxC70XE/YkW9QZC+PALSRj7Rec8tnb/opPSisyfiZ52O3rK5ehptyPzZyJl7ej30KRJDJ06NvZ6M5JSMnZMdwDWbzjIzFnrPR67ZetRps9YZ2gMVquNOXM3ctsdXzBy1OuMuOQ17rnvG6KifPg5MEoIfmwxjKxGTV0GFeAsbuUtACgOLg6HxvNj86ElSSGaJpg7z/Xup7FjenhdytA0waCBieV2zcREh3LjxIEeXwtw1RW9DORYSK6+yjnLZzJpjB3T3ev3XxOCcWN7+L2miXJuqPBSyNq1a/n000/p0sV/FfiUmiPtR6BgLlI/BSIcETQSEVC5WgVCaGC5AGG5oHLnsQxB2rbiLAnuiQkC+1bqWlVJ2nYh028H/TTOmF4HNGThMsj+H0R/iQho5+UsVe/WWwbz+BNT3D5v0gSNG8cwdEh7wJnEV5wP4Y6Ukpmz13HN+D4eExazsvJ5/Ikp7EtKLlMkau++5CpLFDwQUo/TL91Pi7OCioOHUjh6NI2AABMP3H8R77z3u8fCVemWcF7peE2ZTFNdl2zfcczl8cMv7MD0GWs5eCjF5c1f0wRms4mbbnS9ZHjjDQORwKTJK5BF1fLB+bUOCDDzwP0jGH1pV0JDLXz97bJyNTKK/37XncPo1rVZyeNXXdGL337fSlpajstOtyaToF68s8KoorhSocAiJyeHiRMn8vnnn/Piiy/6e0xKNZJ6HjLrmaKiVhrO304SmfspMqALIuo9hKlRzQ4y+BrI+dDLQSYIugRhcl9FsCZJx0lk2o0gc4oe0cv+v56GTLsJ4uYgTMZqLlSV7t2a8X//GsvLr84rqV8AZ25ETRJief3Va0tyJtatP2AoXyAlJYdjx9NL+me48sKLs0q2sZa+gVdVUOFsFhZBr14tSx7bsOEgX3y1pExL8oAAE716Nic9PY+k/R622bqZ2UhLy2H+gs0sXLiDrOx8oqJCGDmiM/9+dhyvvjGfXbtOYDJpOBx6SfASGmrhxReuolXLem4uJbj5xkGMuaw7v/66haT9p0q6v44c0YmwUGdJ8RtvGEjLlvWYOm0127afCXI6d07gumv60rdPqzLnjYwM4d23b+Bfz/7EgYMpmEwauq6jac7xtWgez4svXF2mZLmilFahJmQ333wzMTExvP322wwdOpRu3brxzjvvuDzWarVitZ6Z5s3KyiIhIUE1IasFpLQh024B23pczwaYQItDxM6s8Ru2zJ+BzHy6+G9nPWsCUwNEzM8Ik/ubVk3Ss16BvO/wnCtigtBb0cKfqK5heZSWlsMvC7awYuUe8vILadggiktHdWVA/9YlvSaklFx08WuGy09//smttGpVfrkBYN++ZO6692t/Dd8QIeDFF66mfz9nV9ElS3fxwouzgfLBjKYJ6teP5InHR7FnTzIff7rI6/lNJkG/vq1Zt/4AhYWOMucUAkJCLLzy0njsdge//baV5FNZhIZaGDSwDUOHtMNiKZ846nDorFq9j0WLd5CenkdUVDBDh7Rn4IBErz1A0tJyyMouICIi2GtRMiklGzcd4q8lu5wlvSNDuHBYe7p0TlA7r85TVdaEbMqUKWzYsIG1a9d6Pxh45ZVXeP755329jFIdCn4Bm6fvowP0FGTup4iIf1XbsFwRwVeCiELmvAn2vaWeMTu3mIY/VWuDCintkP8T3hNQHZA3BRn2GELUfJOomJgwbpjo3DLpjhDOm+3Jk963KJpMgvh497+M/ly0veRTe3UICgrg6ScvKwkqMjPzePnVuW5nR/SirZiz52zk389ezp8Lt7Mv6ZTH2RSHQ7Lm76SimZ+yz0nprBvy5NPT+PLz23nyicu8jvno0TSefGYaJ05klMwgaZpgydLd1KsXwasvX+Ox90dMTBgxMWFerwPO722P7s3p0b25oeMVpZhPyZtHjhzhoYceYvLkyQQFGZsGe/rpp8nMzCz578gRlbVfW8i87/H+I+CA/J+QMr86huSRCLoQETsPETsdEfkWIuoDRL3lzmTQWhpUAKBnlloC8ULmgPR+k65Nxl7W3esnWJNJcMGgth53HKSl5VZbwSUhwGZzlOnvseC3rdjtnoMaXZcsXbabtLQcHrh/BJomPL73mJhQl0FF6fNZrTaPya/F0tNzeeSxH0rqTBTnSxT/f2pKNo88NpnTKZ47wCpKVfMpsFi/fj2nTp2iR48emM1mzGYzS5Ys4b333sNsNuNwlP9EZrFYiIiIKPOfUvOklGDbjveESEDmgf1wlY/JCCEEIqAzIvgyZ4KpFlPTQ/JOuK+D4Frdau40+tJuxMaGeqiaKdA0jYkTPDecCwuzVHiKPTg4gNjYMIQwVqVTSucN+cOP/ix5bPXqfYYCG12XrN9wkE6dmvDaK9cQFeUMTkwmzbm9UziDDbNJKwqWvJ/vlwWbvV571uz1pGfkut3l4dAl2dkFTJ9hbDZZUaqKT4HF8OHD2bp1K5s2bSr5r1evXkycOJFNmzZhMtX89K2i1DZCiwBzW0rS9t3SwNwOoRmbqq4twsODeOuNCcTHOxt/lQ4whICgIDOvvDjebRJiscEXtK3QMojJJIiJCWPK5Pt447XraJNoLPlVSsnefcns2XMSoExHVG+sRTU5enRvztQf7uM//3c5l13ajYtHdKJbt6ZIKbH78F5yc60ljchc0XXJnHkbvW4d1XXJ/PmbsdsN1n1RlCrgU45FeHg4nTqV7e8QGhpKbGxsuceV2k0IgTR3ALuBWQsRDOam1TKuc5UIuQmZ5S1PRUeE3Fwt4/G3Jk1i+Paru1i2fDe//raV0ynZhIcFMXRIO0aO6GxoB0HXLk1p0TyOw0dSXW5zdMfhkBw7ls7qNUkMHJDIxx/ewu13fcmBA94bjwHsS0qmTZsGNGoURdL+ZEPXrl8vsuTPZrOJIYPbMWRwO44cTeNmHyqEFhMCj5VJ8/KsZGYaW47MzbOSkZFHXKkOr4pSnVRJ7/OYCL0Bmfmkl6NMEDwe4UuRKqW84Cud/VOsiym/qwVAgOVCZyGxOiow0MzwCzsy/MKOFXq9EIIXnr+Khx6ZREZGnk/lojVNsHDRdgYOSASc5amNX9f5/6Mu6cpfS3Z5PT4uLowe3Zu5fG7O3A3l6kV4o2mCHt2bedzR4WuzMm+7QxSlKlU6sPjrr7/8MAylRgSNhrypRQ2+3G03jUGE3lXNAzv3CGGCqPeROe9C3iRn3krJkyEQciMi7MFasRukJjVuFM2nH93KlGmr+WXBZkMN0cC5BJCadiZBtmPHJuzafcLQDb5dO2edlp49mtO+fSN2e3ndrTdf4PZGv3nzYZ/7Z+i65Morenk8Jjg4kJYt4zlw4LTXnI3GjaOJjHR+ENi77yQzZ61nxYq9FFhtxMaGMXpUV0Zf2q0kN0RR/E31CjmPCRGIiP4CLBcVPWLCGWsWxZvmtoiYKQiT57Xxc4GUDqT9ANK2G6lXTVa9EAFo4Y8j4lciot5HRLzg/P/4lWjhjyF8TvI8N8XGhnH/vRcx46cHufP2IYZeo2mCyIgzN8oxo7t5vcFrmqBjh8a0aB5f8veXXxxPYmL9kr8XM5mcf77jtiGMuqSr23NWJEfk8nE9yhWpcuWqK3p5DSqEgCsv74UQgp9nrOXue7/hjz+3kZ1TgM3m4OTJTL76Zhm33P45+/Yl+zxWRTFCLYWc54QWhoj+AGk/iMyf7Sw3XVTSmwDvPRLqOimtkPs1Mm8S6MUVFc3IoEsRYfcgzK39fk2hhUDQxX4/77nGYgng0ku78fW3ywxtAx02tD0FBTb+XLidOfM2YjZrbl9XXC77wQdGlHk8MiKYD969iZWr9jJ33iYOH0klIMBE714tGDemB8081IgAaN26gc85IqlpOYb+nY0c0Zm/luxi3fqDLneQCCHo2iWBy0Z3Y/mKPXz08UKAcmORUpKTU8DjT07hu6/vMtx0TFGMqlDlzcowWrlLOTdI+z5k3g9Q8KezjbqpESLkWggai9A8V/6r8rHJ/KLKo5twWc2TQETMl4hAz9PUStV6651f+WXBZrczEJomiI4O5b23J/LkMz9x9Giay54ezm2vAodDp3GjaP71zFi/d0zdtv0oDz48yefXffTBzYbGUlho57PPFzN3/iZsNkdJPofZbOLSS7pw7z0XYrEEcPe9X3st3iUE3H3nMK4ZX3v76yi1i9H7twoslCojc79HZr+Ic8WtePubsxcJWkNEzHcIs+skuOqgZz0HeVNwvytGAxGGiF9S40HQ+aygwMaTT09l2/aj5YIFTROEhlr432vX8cpr8zhy1PNsQc8ezbn+un5079asSmbjpJQ898JMli3f49PrLrm4M088Ptrw8Tk5BaxctY/MzDwiIoLp3691yczD4cOp3HL754bOk9Akhm+/VjlUijFVVtJbOTdJRwrox4EgMLdEiMr9aMiC35HZ/y36W+k99UW/9PVTyLSbIe4X59JANZN6FuT9jOettjrILCiYCyHXVdfQlLMEBQXwxmvXMXvuBmbOXM/JosqTQUEBjLqkC9eM78O+fckcPJTi9VxJ+09Vaa8LIQT/enos/35+Bn//vd/w6zw2NnMhLCyIkSNcb/FPSTWeI5R8Ksun6/rq0KEUFi3eQUZmPhHhzu3H7nrFKOcOFVic52ThZmTuR2D9i5KbvhYPITdA6O0I4XsVSCklMuc9SmYnXHI4A5mCeRByTcUGXxnWZYD7gkRnCGTBrwgVWFSJ3FxnzYWQkECiPTTFCgw0M/6qPlx1RW9S03Kw2xzExoaV1H744MM/DW3zzMjIY/2Gg4aSJSsqMNDMnbcN8SmwMPuxuGBIiMXwsTabHZvNQUCAf3cjZWXl8/Krc/l77f5SZc8lk39cRZcuCfz72cu9NkFT6i4VWJzHZMFiZMb9OG/+pX4h66eROe+AdSXEfIEQxn9ROc87H+xGpoIFMn8aoiYCC2n0U5109vrwxyUdqVC4yrnV1NQYAvudt9tLd+48zpRpa1ixck9JMNCuXUPGX9WHoUPauZ1R0DRBvIvCT8nJmYa3eaakGOzbUgmNGkUTGGiisNBYBcyuXf1XgC6xdX0sFjNWq93rsVLCqtX7GHxBW79dv6DAxuNPTGH/AecsjPP7cuZ7s33bUR56ZBIff3AzYWGeC6dlZuWzcuVesrOd3VUHDkj0+hql5qnAohaRjhSwbQBpdy5HBLQz/lo9FwrmIgsWgcwFU2NE8FUQ2MflL2npSEFmPIhzmcLVL2QJtrXInHcRPrTxljmfQM5bRo8Gx3HD5/YrLd7ogWCq3NSt1DOQWS85Z2dKLwtp9SHsgZoJrGrQosU7ePnVuQhBmWBgz56T/Pel2WzbdpR/3H+RT8sVoaHGbzbBwVW/rTc4OJBRF3dl9twNho4fM7qb365tMmnExoRx/ESG12M1TZQ0NfOX+b9sIml/stutsQ5dcuJEBjNmruOmGwe5PKagwMZHnyzk19+2YLfrJbNRAQEmLhvdjbvvHOaxUqlSs1Qdi1pAOk6ipz+MPH0BMuMfyMyHkalj0VOuQlpXeX+9dYXztVn/hsIlzlboBXOR6Tci065H6unlX5T/E2DD/VIFgA55PxrubCrz5yANBxVFRA0V6bFcAMJI8rCOCL6iwpeReiYy9dryQQWAnozMehaZ81GFz1/XHD6SyiuvzUXXZbkky+IgY+bs9fz2+1afzjtoYKKh5mNms4lePVv4dO6Kmjihv6GtnK1b1yMjM8/rcb5o2tRYt18pJYEW/92gpZTMnL3BUOO1WXM2uKz7UVho56lnpvHLgs0l24WLfzZsNgezZm/g//4zvUI1Q5TqoQKLGiYdJ5GpV4H1N8rdeOzbkem3Igt+d/962xZk+p3OWQrnI0X/X3Qu22Zk2m1IWTafQBb8hrHOprlQ+Lf3w6RE5nyA90ZbpZnAMsL7YVVAiEBE6O1ejjKBqamz1HYFyey3wXGYct/b0sfkvIO0lS8lLaVESuONseqCOXO833SEgKk/rfGphfrFIztjsQR4DC40TTByRMdqq9sQFxfOh+/fRJMmnjvwHjiQwv0PfMdLL8/BZvNP8zCjOSRS4tdAq6DAxvHjLj7IuJCRkUdaem65x+fN38TWbUfcLm1JKVm77gC//7GtUmNVqo4KLGqYzHwW9DRc33h0QCIzHndbDVJmv1NynGsOZ6Oxgj/OeqEP2eB6+X/85di3guOgh3G4IhEh1/twvJ+F3g3B44v+cnaugwCtHiL6qwpXxJR6DuRPx1NQUXxtmffjmddZl6On3YVM7oBM7oh+qj969rtIh7GmWrXZwkU7vOZCSAmHDqVy9JixGxQ4d0k8/+8rnG3LXbRv1zRByxbx3Hv3cJ/HXBmNG0Xz7Vd38u7bE2ndynUF2+JP3ov+2sk77/3ml+uOuKgjQUGeAy2TSdC7VwsaN4r2yzX9QUrJjFnrDASfghmz1lXPoBSfnROBhbTtQuZ+h8z9CmldgpR1o2WwtB+GwmV4vvFIwAr5M8s/4zgGhSvwPvOgIfMmn/VQQwzPLpjqOZdrst9FT7sNPe1W9Oz/Ie1Hzhzj8LU8sEBEvIiowa6pQmjOMUR9CoH9caYcCTA1QYQ/gYibW7nx2TYDVgMHOsC6FCkletYryPTbyv5c6KmQ+zEyZTTStqPi46kFcvOM7MRxyskuKPN3bzMYvXu35P13bqRP75ZlHg8Ls3DtNX159+0bCA31LRHZH4QQtG5V32ugJKVkwa9bOGbwE78nISEW/u9f49CEcJmrommCqKhQHn90VKWvVVpQUACNGkYZOjYqKqTczpD0jDyOH8/w+lopJUlJpzy2mldqTp3OfpG2Pc5W1LbNOG+SAtCdSXHhTyKCL6vhEXpRuBKjn/CldSki9KayD9oPGny9DvakMo+I4KuQtrXeXyoaIK1rIPeGM+cCKFyNzP0cGXoHIuwxH3MlLIjoDxAWY30gqpIQAoKGIYKGoeu684aeN9m5XTb7baS5BSJkIgSPq0CHV1+WMQohfwrkfV3097ODTWdNDZl+G8T9idDCfBxL7RAREURamoEZMJw3nu07jjFz1jpWrNxLYaGd6OhQRo/qytgxPYiNLf81aNu2IS+/OJ6UlGxOnMwgIMBMyxbxNZ7ot2TpLgoKvP88aJrg11+3cPttlf+30b9fa/73xvV8/sVf7Nh5JknaZNIYOqQdd985zO+t1YUQXHF5Tz76ZKHHWQdNE4wb26NcMzdf8yYcusqzqI3qbGAhbXuQadc6y0Q7H+FM8aVkZOajIPNqd8a9tOKcNPL2j0OCqwRKX6bozy54FXwp5Lxb1B/Dw4xJYDfIfdfFE0Wvyf0cSSAi7G4QYSC9beXTIPSOMkGF1LPAcRQIAHPzGmnGJaUDsv4FBTNwLosUvT/7HmdSbO63EPMdwmR0NwlgMlpVVANTC+eOGo900NOhYA6ETDA+jlrk4pGdmTptjcflEE0TtElswOIlO/niyyWYTFrJDSctLZfJP65ixqz1vPHadW7LYMfFhfv9plkZx45nYDZp2L3cOKXE0G4Oo7p2acoH793EwUMpHD6citms0b5dI481Qypr9KXd+PX3rRw4cNrl99lkEjSoH8VVLjq6RkeFEBISSJ6Bma2oyBBCfajZoVSfOrsUIrOeLQoqPCTFZT2H1NOqbUxlri0LkNZlyIIFyMK1SOniF4opAUMJlJjAVelrcwfAyDY7EwQOKPOIEEGImG9Ai6X8kkhRvkHIbUWFs7zI/dRZmyFkAp5/pASgOXuFANK+Hz3jn8hT/ZCplyNTRyNPDXLmExjJ6/AjmfNhUVABLiuFOg4i0+/yKaFQmFtAQA+8/zPTIbAf6CeMjTV/hveDaqmxY7pjNps8rv3ruqRz5wS++HIJUP5TrK5L8vMLeeKpqWT6eTdFVQkMNKEb+NkRAsxm//9abt4sjsEXtGVA/8QqDSrAuRzy5uvX07OHMynUZBKYTFrJ7ETHDk149+2JLutRmM0mRo/q6jJPpjRNE4wd2/2cb5JYV9XJwELadhU1jvKWS+GAvOnVMKIzpCxEz34TeWoAMv12ZMZDyLSJyFND0HMnlb0xWS4AzXPGuJMDEVx+5kVoYRB8JeUTD128PuSGco8KcwtE3C+I8CeLPl2bQYSC5WJEzA/OG6PRHIH8mYiwByCgF65zNzRAICL/hzA1cFb8TL2yaBtmqUI+Mt2ZT5B2fZW1Lz+b1PMg7ysvRxUlwRZ63/5bmgh7pPhPbo4wgbkdmI1m5ktw+Fb+uTapXy+SF1+4igCzqaQVebHiG89ttw5m/foDXoOP3FwrC37dUpXD9Zue3ZsbKuCl67LkhlyXRUQE89or1/DVF3dw/XX9ubSo9PqnH9/CO29NJCbG/VLe+Kv7EB4e5Da4MJkEMTGhXD62Z1UNX6mkOhlYULgWY4mHElm4pqpHc+ZqstC59TP3s/JLAjIZsl9Anh6MzP8FKSVCBCDCHvJyVg0CB0FAV5fPivCHnFUcPQUXIbciAt28XotAhN6GFv8HWoMdaPU3okW/gwjshbQneT5vCRPSnoQQFkTMV873pJ21jz6wHyLme0TwpUhpRWbc7WHGSS9agnjewLVdk1IibTuQBYuQ1lXO9uiln9fTkHkzkLnfIrPfdM64eGVCukii9URY+iKi3gUCKfszW/R1NbdHRH+NMBRgFtEifRpDbdOrZwu++Ox2xo7pUVKsStME/fu14u3/TWDQwDbsP3Da684AKSW/1JHAon37RrRqWc/jJ3EhILyon8a5onmzOG67ZTCPPHwJd94+lMTWDby+Ji4unLffnEh8vHMpq/hrVvz/DepH8fabE4mKqqEaOIpXdTTHwo7nPhRnH1tN8r7z/olWT0ZmPgzWRRD5mnO7pZ6BzHmbMmv7xX8O7IOIes/tlJ/QoiFmqjMPwPonzq9Jcd6GxflpWNqRBYvBMti3EtI+5To4f5SECISw+yD0TmdZb5nvrAJqKrUWXrCgaIutJzoUzEc6nkKY4nwYB8iCX5HZ74Nj75kHRTgy5Hrn8k72/6BgFs6fDSM5LsUcoJ/0aSwAIuhiqNcH8mcgCxYWVUZNQISMh8ALEEJDaj1BRIL0VgVRQwTV8qRkA5o0ieGB+0fwj/suoqDARmCguWTGYsGvmw2fJy2t6stz+4MQgmeeGsMDD39PQYGt3OxFcUv3Z58ZV+OJprVB82ZxTPr2Hlas3MtfS3aSkZFHdHQowy/sQN8+rcolfSq1S938CTa3wnhuQmJVjwZwJv/JnE+Nv6BgjvN9hN2LCLsXgi521jKwrgBsYE5EhEyAwAEI4fkfkTDFIqI/RDpOIAv+cnbjtK0HCp3T9/btyPzvQWsEUe8gArsZeD+FIHWMBWZ2RGCfsmMSARDQ0fW5C37H2A3dAdbFEDLe7RFSFm3VzPsB7DudgYyrPiAyG3K/gLzJRbMTxb/YfckqFyAqlhAotGhnUzc3RbmECITQm5E57+M+YBZAIARfXaEx1EZCCIKDzzS6+3nGWj76eKHh19fE9tGKatEing/fu4kPPvqT9RsOlnmuTWJ97r1nOF06J9TM4Gohk0lj8AVt/drHRKkedTOwCBzo3FKqe6ud4Do3oSpI21YDnzbPek3uVyUdRIW5JSLiX5UbhNbAufXWtp4zN6dSgYF+Epl2I8RORQR0cD+uwg3I9Hud+Q5eCecn7aCRXo+UUndWoXScxNgNXfO4y0TquciM+4pmiUrP9rijl6pQWhESAgdX4vVehN4Dtm3OYKr4eiVMgIaI/hBhMlauua5Z/NdOn4IKTRMMG9q+Ckfkf82axfHGa9dx7Fg6u3Yfx+GQtGwRT+vWqpW4cu6ok4GFECYIfwqZ+YinoyDockRA9cxYUFCBinky03lT9Fc9B9uWUjsbXNEBGzL7VUTMd66HZNuNTLsFoy3FAQi6GPJnIgP7uywoJaUN8iYhc791tko3THfbLExKHZnxDyhcXfRINRVFkwXej6nIafU0yJ/jDA4D+znrjujFSZomCBqFCL0TEVC3bqRGSSn56pulPr1GCBg7pkcVjahqNW4cTePGtafipaL4U50MLABE8GiQecis/1C2Q2fRJ9egKxCRL1TqGlLmQ/58ZMECZxCg1UMEjwPLcMTZdSHse12fxBs9tVJjLM1ZFtrbJ3fdWdzKfhBhbl7+HDnv4izsZGRGoaggWf40ZP5UQCADBiKiXirJqXAmtN4Lhcvxqdy3lKCFluvTIWU+5H6HzP0GpP++doZZf4GwW/x2Oil1Z+O23K9wfs2Ll73sziAj/EmEZTBCqz01GarCrl0nOOZDCW8hBE8/OcZwlUdFUapPnQ0sAGfyW9BwyJuOLPybM7kJ1yLMrSt1blm4GZl+V9FyQHGiqIa0/uncmhn95Vmfzn3pkVH6TURVapxl2DZj+JO7bQecFVhIxymwLsT4eykOPoqO312AeG868vmt0H4OwtQQmfFoUXlqH5y2I55LQT55H6L+mcxvqWcj025y5lL4lBvhR646xVaCzHoR8ieVvkCpP56CzKcgdipo7peuzgXJp4wvI1osZt549To6dWpShSNSFKWi6nxqrdBiEGF3osV8jhbzDVrEvyofVNgPItNvLpUzcVain+MoMu1GpF7ql6G5FT5/OUUoWAZ4P6662PdT4QBJSsR76bDPinh8F3Lfs+hZr4LVfWdWl07bEf88BftDEO8dofSeQ5n175oNKhDlt9FWgrTtPCuoOFvR0lXWS367Zm0VFGR8B1LjRtEqqFCUWqzOBxZVQeZ8WlRu290NrGjbYd60kkdE8HgPx7siIORGhDBSOdOggO4YqzsBBHRyMSQftqKWe61APhcHDc1wwoZ4aCoc+sy3cxQHFcmh0LQv4s23KK6SJB0nndtUayyoAJDOpTB/nS1vCt6/XzrY1hbVFDl3de6UgMXifQJV0wQDB1RT3pSiKBWiAouzSD3HuRXU65KCLNMxVAQkQtA4jBXuEmAZ6qxU6UcidAJGWnQTOABhboqUNqSe7txaCmBuD1Ri+168GflGvaLgoihIOG2wjkhxUHHCDg0CEZ99BvVLZcoX/EGFZ1P8QoCIhqAx/julbSPGl662+++6tVBoqIVLLu7itZSzEILRl3arnkEpilIhKrA4m34Sw10p9eNIeebGKSJfgqDRRX9z80nU1AoR8Twi6kO/N9sSAZ0g+FoPR2gU10HQMx5DJndFnuqLTO6Knv4PsO82WCLcg4oEF6WDioZm5Fu9ywYVADKrcuOqFAEiDBHzRZ3tKloX3Hn7EFq2iHcZXBQXiPvnY5dSr15EdQ9NURQfqMCinEDvh5TQKH2zEyIQLeotROwsCL7G2YAqsA+E3AMxPyPiVzp7c4RcV35XiZ+IiOec1SUx45w9MVOSo2tqAmF3QubjUPALZ2pcOMC6EJk2wVlES6tPtQUXZwcVbzSExi62EGqx+LalVMP5vv0QvAVNQMTNRQR0rvy5SgvoivGlq3M7eRMgJMTCO29N5MorepWU+i7Wtk0DXnv5GkaOcLGEpyhKrSKkL+0a/SArK4vIyEgyMzOJiKh9nzykdCBPDzNQutkEgb3R3NSDqGnOugizkY4jgAVhGYQUkZB2NV7zFCLfh/yfoHApxR1JnTd1I0WoSikXNNSDeLPX50XcL+UScKWehjw1CGOVQDUwtXL+0bGPSi+hBF+PFlnxviXuSNsOZOrlXo7SIKAHWuwPfr9+bZafX8iu3SewWu00bBBJs2a+lXVXFMX/jN6/VWDhgsz5DJnzJt5uSCLqQ0TQiOoZlBtSOmt4GJkB0TP+WdRN1FNwYILAQWgxnyPth51VIGUemBogTU0gbaIPoxNw2uY6uHAXdARfixb5X9fjz/w35E/DfWCkFfXbSMe3HiDemBHxy6qk4qXzPU1x86xz1kXETnEucymKotQgo/dvtRTiSujNRTssPHx5gsaC5aJqG1JpUtqR+bPQU65CJndAJndAPz0CmfsdUnddslpKR9Hyh4FW84VLkXo2wtwUEXqzs5eJ5ULI+cjXkbpeFtlhdR1UiChExH/cnk1E/AsC+xf/7axnNdCiS5Uh9+fukeKvnf+JiP8ULV05S3aXWbrS6iFivlNBhaIodYqasXBDynxk1quQP50y5a1FGITcggi737dOoX4blxWZfg8UrqDsp/KiG625FSL6+3KfrqWejTzV0/B1RNwihLlJ0TULkakTnA3NKlo6u/QMRbGzl0dEJFr9tR5PI6UN8uci874D+w7ng1pDCLnB2WDMp5LhRpkh9Ha08Meq4NxO0pECBbOcs0QiEBE40PdutIqiKFXI6P27TlferEpCBCMin0eGPwrWpc5dCVocWIb4t/aEj2TWC6Vas5f+VF4UH9oPOBtzxUwp22pdBOP8dhvJURCglfqhKZgH9i2VGjfxZuQTsYhHzjSOk0/Els25kFnOmRIP5auFCICQKxEhVxZtk9URIghZ+Dcy543KjdEtHSHCnVuRHUec7eRNTZ0dSf1EmOIg9A5Dm5UVRVFqMxVYeCG0SAj2XrtA2vch835ydu8kAGEZAEFjEFqo38YiHSmQPwPP0/wOZ30E22Yo1R5dCDMy6JKiIlPeciz6I0oFFjJ3MpXOWThtR7xetreHeD31rIROCfmzIPRGQ6csc2O3H6n42LzSkbbNcKq4jwogopAh1zsbg6ktqIqiKCVUjkUlSVmInvFPZMqlkPeds9eG9Tdk1r+RpwciC3wsae2J4cqTJmTB7HKPipCbDbzeAfZ96Cmj0bOeQ9r2gn2Pweu6cXai5tv13WxFFc4beEWIShT28koD6yLK1DeRGZD7KTLturKl3RVFUc5zKrCoBCklMuMJKJhb9EjxTEDRsoTMR2Y8iLSu8M/19FSM1T3QwZFS7lER2BUR8QLOfAx35xHOrbb2vZA3FZk6mkq1JHe1+6ODxU2di6JuqRUR2Juq/XF29TXQwZ6EzPx3FV5XURSlblGBRWXYtjjbaLu9GUpAIrNfwR85ss7cAyM3Xq1sjkTpc4Rci4j5ASzDcP3tLz3O4ptp8U3fR57qWLgpoiXMbX2/DiBM9cEykqqpzull6cn6m7OXiaIoiqICi8ow1kRKOpcSbJVMfgSwjMBYsScHIugSt8+KwJ5o0R8h6m2AaKMFvnwMjLwVxwIXwUUyZA327TqliIj/81A19OzAqHh7p6eAScPYPxFZ1G7+rEdtW5C53yJzv0JaVyBlTTZQUxRFqR4qsKgM+04MLxPY91b6csLctGimwVMwo4GpOQQO9H4+LQSsS7ycr8wrjB1mJKgoVjq4OBWNuPcpSE52fay30ZniEbE/QdAllHtPppaIqI8Q9TYh4pcj6m9CxHxftFvm7H8GGhAE5g4YniHSc0r+Jm1b0FPGIVOvds5WZb+OTL8VefpCZMGfFXpviqIodYUKLCrDl34ffqpHICJfBXML3H/rdNASQBYYO6HjMEYTQjF3pmwPkqIxBPSCwAuBIB+CiuI+KwLig+CjZyGhOxw7BnfdVangQot621kpM+o9ROT/EDE/OcuEB12E0EIQpnoIYUEE9kbEL0KEPQKmliCiwNQCEfYAIv5PCGiLsaDLAVo8ALJwMzJ1orOhG+D82hZ9ffUTyIz7kfnzKvTeFEVR6gJVIKsS9Ow3IPcrjMxaiLg/EOZm/rlu4U5IG0+Zwl1laBDYDxH9pccCS1JKZNqNYPvbwFU1RNijEHI15P+C1E8hRBjS3AayngE9DU4XGgsqLMOcpbfRnTkVIVchtBhnMHHXXc7gonFjOLt1ejWT1tXI9JsMHGlB1FsJIgyZMgocB3EfrAkgCFFvhdqmqihKnaIKZFUDEXwdMvcLL0eZILCv34IKAPK+wHMwo0PhSue6f9BIl0dI6UBmPmkwqCg6p2WQMwAIvQGBswoop0eCng7SgXguxcBMhQVCH0MLbFP+qfr1ncFEcXDx2GPw/fcgBNJ+AArXAXYwt4aAXmULgFWFwL5g7uRlyUtA6E0ILRxZuBYc+72cVAL5UDAHQib4d7yKoii1gFoKqQRhTkCEPezhCBOIEESE/7YjSj3NQJErAA2ZN8n9eXLeLbVN1hsTBHRBnN26u2AB6CecYxEC+WA0tA70nFOBHTLuKKqa6UJxcNGuHTz9NNJxAD3tJmTKxcisfyGz/oNMm4hMGYEsKJ8w6U9CCET0p2BqhnOmoXQgUzQTZLnEuZQCRYGPkaUTzRmEKIqinIPUjEUlibB7QYtAZr8DMhPnjUUCOgR0RES+ijC39N8F7UkYK8utg22Hy2ekngO532Bsp4cGIgwRWb5ctsyfRZmKnG0tyA/qg8eZBIezTkbB7xB8metD6teH779HOvYjU8c7u6uWO80RZMZ9yIgXEDLXWfVUP+FMxrSMRIRMRAS4mBXxkTDFQ+wMZx+P3EngOIBzqaknIuQmsFyIEMXxudFtuRJkJWqDKIqi1GLnfWAhpQTbuqJy3PsBC8JyAQSPN9wmW4RMhODxUPAnOA6BCHSWxT77E75f+DL97+ZY60LAYHKnVg8RM8m5I+VsjmTK5RIYWp7QkPlzEe4Ci6LzyMxnioIKVzfhoqAo6/+K/iScj8k8yJ+GzJ8C4c8iDJYH90RoIRAyAREyASml+yUYUysM92Ixt6r0uBRFUWqj8zqwkHoOMuOBok6hJopvYNK2HnLeh8gXEcFXGDqXEIEQfGnVDbaYuQ0QiPvEzWImCOjm+in9NKXfr+frtXAdVABokeAouqH7RAeZ6vEIadvt7HliWPnCXjL7v2BqhAga7uP43POY1xF0EWRFFs1ceSIRIeP9NiZFUZTa5LzNsXCW4/5HqU6hpW+yOmBDZj5V5ev4vhJaBASNxftavgMROtHNSUIxXDq7cL0zx6HgN6Q869O4ZRS+BxXgXF7xMhtUuKYC5y1/HZnzoR/OY4wQgYjwJ7wfGHITwtSo6gekKIpSA87bwILCNc6dE15usDL7db+U4/YnEf4gaNF47PdhGQmBbqpYWoZhfEmlEArXIjMeQKZNQOpZSNtu9MxnIed/vg8eAN3zMgggjdbh8HId7NuQ9qSzzp2PnvczevoD6Gl3oGe9hrRt9cP1QISMR4Q/y5nKnsWKvlfBNyDCn/LLtRRFUWqj83YpROZPxftygHQm69k2QmCPahqZd8LUAGKmIjMeAfsWSgpNoTv/P/haRMQzpZIKy79eWi4G6+8YqxxadIxtCzL1enDsw3nTrEgCogm0WAi62PNh/uxW6kgGcyuk1J0zGLkfUyYXonApMu9LpLmDs6iWu6Ufg0ToTRB0KeT/hCzcADggoB0i+BqEuXmlzq0oilLbnbeBBfZ9GL4xOg4CtSewgKKtrnE/I21bkQWLQOY5A46gMQhTnPfXR76ATNtX9HUwOiOjg6O4NHkFgwoRXlS4K9DzoebOFTi/GyLEufSV+SwU/Oz+OPsOZOrVEDcTYWpcuUua4iDs3oq0blOqmZSSk5k5FNhsxIeHEhbkx6BWUc5D529ggZcbW4WPrV4ioDMiwPebsNAikeH/BkOVJf0kaBwi/GFnAOSFMDerUPZGOVosBHR0Juh6CiqKyUxk9puIqLf8cXWlFnPoOtPXbuO7FRs4cDodAJMmGNkpkTuG9qFdw/gaHqGi1E3nb46FZRDG3r4Ggb2qejQ1I28y1fkjICyDDAUVgHOrr2U4FWrXfuYsiJAbESLAY7GwsiQU/OosRKacsxy6zmM/zuf5WQs5WBRUOB+X/L5tL9d9+APLdh+suQEqSh123gYWIuRaA0eZnAWQDN4M6xKpZ/uQY+EvvgUJIux+PO9+KT6fqx9j4ezwGnqn86+Fq324sh1sO304Xqlrvlq6jj+37QPKLwQ6dIndofPQpLmczs6t/sFVo4y8Amau3843y9Yza/12MvP9kTStnO/O26UQYWoE4f9y1jpwyQRajF/LcVcX6UgpShxcBbIQzK0RIdeWLJlIx2lkxmMY3nLqFwICuvj2ioBOEP0JMv0fgJUzt4Ciap+mJhB6H+T/BLYNZ16oxSFCboTQOxAiwPnY2VtlvarOr41SnWwOB98u3+BxqU0WHTdj3TbuHta3uoZWbaw2O6/PX8L0dduwOXQ0IdClJMBkYnzvTjx+6WAsAeft7UGppPP6J0eE3ghaFDL7f0U9L0qeAcsQRMRzdW62QuZNRWY9T5l23bbNyPxpzp0g4U9B2g1nvd+qZoLAAQhzgs+vFJbBUG8J5M9AFvwKejaYGiKCr4Kgkc4k0JCrkPbDzlLhIhjM7RFnt7Q3Nwf7HqNXBXOiz2NV6obNh0+Qnpvv9ThdSuZv2nXOBRaFdgf3fjuLtfuPohdtpS/+f5vDwZQ1WziQks7Ht1xOgMlI7xtFKeu8DiwARPAYCBrtnCp3HAYCwdK30rsCaoLM/wWZ9X8unila7rD+AbZtzhtwtX0iN4EIRkQ8U+EzCC0aQm9HhN7u/hhzU6D8NlGpZ0P+TJA2o1cDy7A6F1AqxmXlW6vk2LpixrptrEk64vZ5XUpW7TvMzPXbuaaPb7OMigI+5li88sor9O7dm/DwcOrVq8fll1/O7t27q2ps1UYIDWEZgAi5DhFyZd0MKqSOzH7Ny1E66Meo+rwKMyW5EeZERMxUhIfeGFI6nOXVpX+DHWldjjx9ATL7paItw0YEIsIe9es4lNolNizE0HECiAs3dmxdIaVk0sqNXrOdBDBpxcZaVxxQqRt8CiyWLFnC/fffz+rVq/njjz+w2WyMHDmS3NxzO8GpTihcVc3LGx6ISAi5DREzDRE7GxHgellBFq5FT/8HMrkT8lQPZHI39Mz/lKuUWRHStgWZfhfIfJwr5gZ+QYoYROxkv3RFVWqvzk0a0Cg6wtCxl/foWKVjkVKi69V3887Mt3LgdLrXfw0SSDqVRo7VW08iRSnPp6WQX3/9tczfv/nmG+rVq8f69esZPNhN+WiletgPUNLh0y9MEPEaZP3T93PKDChcDuGPuG3aJXO/LJphKV39tKCoM+nPEPUBImhYhUcvs9/HUEAhIsDcFkImIoJGls/NUM45mia4a2gfnpv5p/tjhCA82MK4nv7vUKzrksU7k5i8ahPrDxzDoeskxEZxfb+uXNmrY5UW6LI7fJuttDtUErPiu0ptN83MdHZxjImJcXuM1WolKyurzH9KFRAB+C+oEBDQGy1krHPLpteGZ2dzgH0nWJe4fFYWLC61bHP2LzoHYHf2JrEf8vG6Red3nITCpS7OfTYNTE3RYiejBV+qgorzyNW9O3HrBT0BZ1Gs0jQhCLME8vltVxLu55u83aHz5NQFPDhpLuv2H8Wu60jgSGoGr/+yhKvfn8yJjGy/XrO0qJBgIgy+p8jgICKCVRVSxXcV/k2q6zoPP/wwAwcOpFOnTm6Pe+WVV3j++ecrehnFqMA+PhzsbWZDlnRGFaE3IQuXV2BAJmTeVJcty2Xup5RsGXVzfXAg8yZXLOnTcQRjQZbuQ+6Fci4RQvD4pYPp37oZk1dtZNnug+hSEh0SzPi+nbm+X1fqRYT5/bofLlzFgi3OvDRHqfwFWfQ/xzOyuOfrmcx86EY0rWLF4aSUrEk6wvzNuzialklWvpWGUeF0bFyfS7u2ZXzfzny9dH3JThBXNCG4tm8XTNp5W+pIqQQhK5idc++997JgwQKWL19OkyZN3B5ntVqxWs9kVmdlZZGQkPD/7d13eBTl9sDx78xukk1vJKElEECa9K4o0hRQUCyIekVUfqgINqx4FexYrg1UBAuCioggIkoVpaiAEnrovYY00jZlszvz+2OTQMhmdxM2WQjn8zw892b23ZmzA2bOvuW8ZGZmEhLi3jincI+Wfg9Y/sX5N/Xi3gcNxw9fA/i0RomYhaIY7XtsZL0GeV9XPCBDPGrU0lKHdFsSeoqbw2ZKKGrMvxW+rG7ZjJ5+u5vXCEeN8cQW7eJipmk6Vk3D11h1yyvNBRaueWMaeRbXK5Q+vXcwVzeLr/A1TmZk8/CMn9iTlFpumyuaxLHrRApZ+fnYHMzvMKgK4QH+zHv0bmoFB1Y4BlFzZWVlERoa6vL5Xal0dMyYMfzyyy/88ccfTpMKAD8/P0JCQkr9EVVDCXkVlCCcDV0oIS+jhE8DpXi2e/G3oqL3+HRECf+sZFhAURSUkBdQgseDWsElmIp/2WMVKZWtZ1VuVrpP86L74IoB/LpX/PyixlFVpUqTCoCVOw+4lVQYVIWfN1W88mtmXj7Dp81h36nykwqA9fuPEhZoKumRUYvmQRX/b52wEGY8cLskFaLSKjQUous6jzzyCPPnz2flypXEx1c8oxZVRzE2gMi59loWJSWsi4Y91Loowc+g+F9vPxz1J+QvRM//AzCDIdZedMqnY5kJl4qiQODdEHAnesFqyHgYt+Yv+PV2cDisAh8osNzJn07fppjQ/YdC7nSc1+uwoQTcXeHzC1EZqTm5JRUunbFpOslZORU+/5z1WzmZkY2rRSaarnMo9TRj+19NXGQYi7fsJt2cS0RgANe3bcY1zRthNMgQiKi8CiUWo0ePZtasWSxYsIDg4GCSkpIACA0Nxd/fwbdTUe0UYwOUiJno1oNg+cdeGMrYCHy7oShnflkoaiAE3IEScIf751YMKKZeaKbBkP8TzpMLBSWg7HCEYqiLbrzcPrnT6UPfAKZBbsdW5jpBo9Eta8C6v/w4A0ag+Hao9DWEqIhgk6/LpAJAVSDE31Shc+u6zqy1W9w6v/0NMHvdFpY+fT99L29SoWsJ79J1ncO5u9ibvQmrZiHcN4a2YVfjb/T8nKDKqlBiMWXKFAB69uxZ6vj06dO59957PRWT8ADFGA/GqulRUkKeRS/cWFSp9NyHtr2HQQl9vdzqlUrgCPRMV0Wo9PPqTVDUIIiYhZ71OuQvBM7aK0SNQAkcBQHVuGW8uORd07wRBlVxOK/hbJoO17WqWEn5XEthhXo5dOD46Syy8gsIrWAScyHJtWaz8fQfbMlYQ641i0BjCO3Ce9I+vCf+hpo3lJOUd5jvj7xLcsExVAwoKNiwsejkdK6Kuom+MXeiKt7vbarwUIgQihoGkXPse6zkzQfOKqJjbIYS9ITzGhSmG+w9FubPKLs6xADoKKFvlVtYy/04Q1DC3kLXnoWCP0HPBTUG/K46szmZENUkMiiAge1asHDTznJ7FlTFPnHSUWJhsdpQFBzu31HZ1RsX86/0Q+adzDz4GgVaPsUT0TMKUzied4AVp2Zzb/yLxAbUnGJ3KfnHmLb/eSyafTGEdtaXOptuZVXyPPKsOdxU/0FvhVhCFu6LCtG1bNCz7Cs2Ql9FD37avrOoXmCfp+HjuqCQoigowU+j+7RFN0+HwoSiV1Tw64MSOALFt73HYlbUCPC/0WPnE6Kynh/Uk71Jqew6mVImuTCoCiYfI5/ce1PJzqLmAgtz/93Od2s3czTdXjeoeZ0o7r6yPQPbNy9JMkw+RprWruV0Nci5okOCCL1I61SkFpzgqwOvYNULKbu6TafAlsf0Ay/zSNP3CfeN9kaIHrfo5FdYtAJ0J0PI/6QvpVNEX+oFlL+FQnWQxEK4RS/4C938OVj+KjqioPtegxL0fyh+PSt1TsV0HYrpOnQtHbQc+xCFeuGMEwrhaUEmP2Y8eDsz1iTw3botpOXkAuBjUBnYrgUje3amQWQYAKnZZu79bC6HUtNLPTv3JKXwwrxl/LxpJ1PuHYypKAm5+8r2jP9x+ZmGug7lTH5WFYW7rmhbqcnRxfYnp7F8+z6y8wuIDApgQJtm1AkLrvT5KuKvlIXY9MJyH7I6GhatgLWpv3J93fuqJaaqdNqSzJ7sjS7bqRhYn7aEWwJGV0NU5at0HYvKcncdrLhw6ObP0bPfpnT5bYp+1uzbywfc6Z3ghLhIWW0aR9MzsNo06oQF20t5JybCxIno//sf/5m/ku3Hksqdk6EqCjd1aMFrt/UD7FuePzh9Pv/sP0qEOZunf1/AZ936sj+q9Fwng6oQGxHG7NF3VqqyaGq2mWfnLGHdviMYFAVFVdA0HR2dG9o2Z8LNfQnwrbqhRqtWyKuJw7Dqrvcx8VX9efHymaiKe0uJCzULe7M3k2PNwN8QxGXB7TAZvL8RXWLmOmYdftuttrX86vFEs8lVEoe7z2/psRBO6QV/FSUV4Lj8NuhZL4GxuUeHL4So6YwGlfios7ZD0HWYOBF27SJr2HCOteiOLbD8HgBN11mwcSeP9buKqOBAfAwGPhk+mElf/0jnN18lKjuDket+47mB/wFFKam32za2Du//Z2ClkorMvHzumTqHY6ftwzI2XQfbmcRn0ZbdnMrM4bMRtzicC+IJZluWW0kFgEXLI9+WS4DReU+KpttYmTyPP1N+pkDLLTnuo/jSOfJarqs9DB/V97ziPh8V2/nZ+xNnvD99VFzQdPMXuN4rREU3f1UN0QhRgykKvPsu1KuH+eAhXl7yA5Fm5/uG6MDSrXtKfjalp/HMgm+5OsiH8MuasGvsc3RtHEf/1k0ZfnVH5oy5i68fGlrp4ldfrU7gaHpmub0omq7z78Fj/LJ5V6XO7w4fpWIPeKOLhEDXdeYencyKU7NLJRUAhbqFtamLmHHwNaya6+JmVaW2f0O32qkYqOvv3fkVID0WwgldyymaU+EqA7ZBwTJ0vVBWWwhxPmJiYNo00q+/iegTx3lp8RxeGnA7aeX0XBgUpWSeBqdOwQMPwPHjGGNjqTdtGk/HxHgsNIvVxvfrt7pVK+PDpX9xc8eq2XI+wBhMHVM8SfmH0J38blJQiQ1oiq/qvGcmMWsdWzJWl/u6js5BcyLr05bQParytXXORy2/usQHXs4h806nkzc1bHSL7F+NkTkmPRaifHoW7ner2ezLOYUQ5ycmhkWjx5IcHEZ0TiYvLZ5Tbs+Fpuv2HUjPSiqoVw+mTbMnKR50MiOLzLx8t9qmZJv5e2/ldid2R/eoQU6TCrBP4Lyy1kCX51qb+iuKy0ehzt+pv6JVaEjCswbUuReDYq9d4YiCQuvQ7sQFNK/myMqSxEKUTwmBcv4Rl+UDSs0rSCNEVdN1nXX7jjDhx+U89s1CJvy4nMjG8UzoP4TkoFCnyYWu6/SLDq3ypAJwv6pnka//cr2KobLahvWgTdjVTts0C+7IZUHtnLbRdBuHzDuc9gIUyyhMJqswrSJhelS9gMbc3+hlgoxhgH3YQ0UtSooUOkb04bbYR89rpY+nyFCIKJeiBqH79YKCVbjcMdV0fcnGZUII9xw/ncnoGQvYeyoNQ9HqCrWoOqchOISXB9zOhMVzSpKLs4dFDIrCwDrh1H32qSpPKgDqhoUQ4OtDrhsbqQGs2XMIi9VWJZu7qYrKkNhHqWNqwJ8pCzHbMsu02Z2dwJs7R9Ahojd9Y+5wOIGzoj0QNt3qulEVahDYnKdbTGN31gb2ZG/CqttLencI73VB1euQHgvhlBI4Aud7egDoKIH3VkM0QtQcp8153DN1DgdS7Dv+2jR7537xxEibppMaGMxLA24v03OhKgrt/Q28vHRutSQVAH4+Rga0cb+Spa5DXmHVTXhUFQM9om/h2ZafcX2d+0pKXJ+tUC/gn7SlTNn3LDnWjDLnMKo+BBvD3bqeUfEh2Me9tlXJoBhoGdqVwfUf4rbYR+kTM/SCSipAEgvhguLbGSXkZexDIud+8zAAKkro2yg+VTNRS4ia6tu/N5GcZXa5d0jaOcnFa8vmMi4ugi/+WYZP0slqSSqK/V/PLm639TUaCPKr3BJNTdc4Yt5NYuY69mdvpVBzvLxU13UO5iSyNOkbNGwO513oaGRYkvnp2KcOz9Elsl+58xaKqai0C7sGX/Xi3VelOknftXBJCbgDjC3Qc7+C/CXYh0V87MMfgffWuKRC13WwJoLtOCj+9q3kVZk/IjzHpmnMXufeCgs4k1y8tHgO0ZmniXrlRU4HB1CrWVOUakoqAOIiw7imWUNW7T7ktJ1BVbipQ8tK7WGSkL6CP5LnctpyquSYyRBIt8gB9IoeglG1rzzLKkzn20Nvcixvn8tzamjsyvqXDEsKYb5RpV5rHtyZNSk/YdEcT0xVUDGqvvSIvrnCn+VSJYmFcIvi2xbF9310/R376g8lEMXNanYXEz1/CXr2JLCd/cvKhB5wu31zNUkwhAMZufnM+3cbc9Zv40RGFr5GA1c3bchdV7ajS6NYh+1P5+ZV6BppgcFM7jGAVxfNxqZrnMrKYW6vG3goOtrtKdaeMPraK1m9+1C5azIU7FVB777SXjDvRN4Bjph3o6NTx78hDQJaoCgKhVoBm0+vZn3aElILTqAqKsHGcFItJ8qcM99mZlXyPI7l7uWe+P9i1Qr5Yv940i1Jbseto7M7eyNdI/uVHNueuZY5R97D5mSuhckQwPD4F4j0q+P2tS51kliIClEUY9FqkZpHN89Ez36Nsith8iH3G3RLAkR8I8mFKOVgSjr3fTaX1Jzckh2g8wut/L5zP8sT93F/j06M7X9Vqdn6hkrM3I80Z/PI6sWljjX7ZBIbunWg8xWdzu9DVMDl9WJ4964beGb2YnT0UkM5BkXBoKp8cPdA/IMz+GTvmxzP21/0qr32Z6RvXfrEDGVl8lySC46ioNiHMHQosJSfbOno7MvZyt8pv6AoKqmWk1SkyqSCikU7c/7D5l3MPvyu0xUhvoqJ0Ze9S/g5vRzCOZljIQSgW/ejZ79e/JODFhpYd6LnTKrOsMQFLr/Qyogv5pFuPpNUFCt+4H65egNz/tla6rXQABOxEaFu9zREmrPtwyA5mSQHhfLi9XeQHBRKTE4mfqNH2+tYVJKu62w9msS8f7czPyGRg0WTSZ3p17opPz0+jDu7tSUswGTf7j3Qn2FXdeDnsffQKM7GtP3/5UTewbOvBEC65SRzjr5PSsGxoqMVWcaqszbtV9alLqIiSYX9nRqhPrVKfl6ZPNflewr1ArZmrKnQdYRsQiYEAFrWa5D7Lc6X1WIfAor+G0Xxr5a4xIVt/oZEXpi3zGW7mNAglj8zotScg6//2shbv6xy+Xg8N6koXnJafLy2OYuWndtXeAJnoc3GHzv289Fv69ifXLo+Q+dG9Xnhxl40ialVzrvLp+s67+9+hHRLklv1IaqLn+rPcy2/xFf1I7vwNG/uHOHW+8J8oni6xdQqju7i4O7zW3oshAAo+B2XSQWAbgbLlioPR1wc5icklrczeSmnMnPYdLj03IHbu7ShdWxtVCcnKC+pgDMTOk8FhdqXnD7wgFs9F/tOpTF+3nI6jf+IJ2b9WiapAEg4cIw7PvmOPUmprj/cWQpseaxK/pE0y4nqTypcfEe+OurmkvLemc4KXZ1znqxC1z04npRTmMGfKT/z64kvWJb0LYfNu8r0hl3oJLEQAkB3r1SxvW3FJt2Jmis5K8fV86xESra51M9+PkY+H3Er/ds0dZicOEsqiqUHBjP97pH2JaduJBdrdh9kyORv+WljIlbN2Z4TkGexcucn35Xa5Kw8Fi2fX45/wcQd97P81Lcu258PBYUYv7hSS0Sj92Ux5PkEAtMc/3fcNaI/3SL7cyx3L8l5RzGWU8wvMC2fIc8nEL0vq+SYoZoK/9l0KwuPf85bO/+PJSdnsD5tCWuSf2La/ueZvPcJUvKPVUscniCJhRAAhljc/s/BWHaWv7g0Bfu7v/W4o5oOPgYDz95wDT8/fg93dGuDj8H+b9CdpKJY/2t72IdBXCQXJzKyePSbhRTabC5rZxTLL7Qy9rtfeX/Jn+W2sWgFfLF/POvSFlOoF7h13spSUGkW3JGrom48MzdD17nmiz1EHcrm5lc2lUouov1iub7OfRzI2c5rO+5hyr5n+XDvY3y892mM5+ySGpiWz82vbCLqUDbXfLGnpOdCR+OPUz+QZyudGHqSruvMPTKJdWmL0dDsk2J1G1pRL2pK/jGm7n+e9AL3V8F4kyQWQgCK/1BcVxhVwdgaxdikOkISF4F+rR33Npwr0M+XTvH1S34+nHqaV35awRWvfMI1b0xj0Psz2XE8mfGD+/LaVW2YtGYhcflmUoLDePl6x0mFQVWIjQzjpg4tS3ZFdZZczFm/FatNq+CUR7vPV/3Lsu17Hb628tQPHM87UC1DHwrQM+Y22ob3oHFQG3uvhaKw6KlWZEWbCEm2JwdBaRZiTA3oGN6bRSenk2Ip/W1fw4ZVP1N0qzipCEnOJyvaxKKnWlH8F2vVC1lxajaf7H2a7MLTVfK5Dpq3szXzT8qbkKqhUWDLZVlS1fYGeYokFkIA+F8PhoaUrS56Nh0l+NFqCkh4g67rJBw8xie/reXDpX/xU0IieU72xril4+X4GoxOV3coisLQrm3w97UXdtpw8Bi3TPqGuf9uI7/wzN4T24+d4oOZ82j+0gu0Neg06dCG8G9mkh8RaT9PUbvipaoNa4Xz5f/dRmBxT4iL5OLnTTsrvJFYMVVRmLEmoczxQs3C+vSlVZ5UKCgYFB/ubPAMsQFNMShGhjUcR4fw3qio5Eb6s2B8J7Ki/QlJzufuNw4w2Hgzi5NmuDz3uUnF/PHtMUeWrrCpo5NhSWbW4ber5POtS12M6uJxrKGRmLnWYWnyC42sChGiiG47gZ5+L9gOYc+5i39Z2v+DV0LeQAm4xTvBiSqXePwUz32/hAMp6RhUBQUFq6YR4OvD6L5XMPyqDg53jlyz+yBjZv5cpqYD2L/0dmkUy6f3DsbXaOS0OY9+73xBnsVa9iGv67z5y7fEpyUT0qQxcXO/h5gYzAUWft2yi+Xb95KdZ6F2WBA3dWhJj2bxjitbnr2FevPm8PXXoCh0HD+5VCJTGauef4BawWfquBwx72bq/nHndc6yFIKNYYT4RJBtzcCkBtA6rDudIvoS4hNRpnVOYQbbix64IWmFtHtuFr4nUzkansvXzzcskyScrTipCE22kBnt6zCpONeoJm9RP+Cy8/6UZ3tzxwiyre71htwbP57Lgtt59Prucvf5LQWyhCiiGOpCrV8gfyl67vdgOwZKAJj6oPgPRTHWd30ScVHaeSKZe6bOwWK1j2nbEwT7gz/XUsg7i1aTaynk4T7dyrz36mbxzHr4Dqb+vp4/dh4oSRiiggO5u3t77uneoWSHzx83bCfXYnU8y19R+KxbX0au+40vrx7I3KgoDNiHUW7v0obbu7Rx78MU91w8+SSMG1fSpR/qbyK/MKdiN+Yce3YcoVbXFiU/nz2c4AkmNYDOkdfRM/o2TIaAkuO51my2Zf5NVmEafqo/LUI6E2Wy//cY5BNGt1oD7A1rA5/3Q3/gAdR9a7j5ldPlJgtn91QU1KnFT/9tijnS+ZwZFQPbMv7yeGJRMRf+ChHpsRBCXPL+M2U2W48mOR0qUIAlT99P/YjQctskHDzG139t4s89h8grtBLo58ug9i2464q2NI6O5OYPv3a9hFPXQVF4oGdnEo8nk27OIzIogIHtmnNdq8vw83Hz+2DReYq9t2QN01cnVHo4BF2n9qR/ufbWKxj7+Sh8/XxIt5zi3V2jKne+IgoKkb51GBL3ODGmOHzUM5MqbbqVJSdmsj59CTbdhoqKjo6ORuOg1twW+5jDXgxb0nH23Nmp3OGNc4c/Vr7aj5OhZmy68yXnKirtwq/h1thHzuszn+vrg2+wJ3sjmoshJQWFZ1p85vAzVwepYyGEEG7Ym5TK5iMnXT5wFUXhh3+2lfv6oi27ue/zufy+cz95RUMO5gILP/yzlVs+/Ial2/Zw2uzGUuWiZGDayn9Zu+8IO08k8/feQzw3Zwn9//cle92tLXHOsM0dXdtiVNXS80F0HUN6HrhaJaLp+B3IQM238vt3f/LWsEnouk6EbwzxgZejnMejREcn1XKCKL96pZIKTdeYc+QD/k77FZtuxb4+w1Yyn+NgTiJT943DbM0sc041pm7RnIszEzqLV4s4mlORHenrZsKlEGBwvDrnfHSrNcBlUqGi0iKki9eSioqQxEIIcUnbcvSkW+00XWfjoeMOX9t+LIlnv1+MTSs7z8J+TOPp2YsIKJrA6a7ih13xKdNycrn3sx9Izqr4kEZMSCCjmrdA0UHRddB0wn7ZS8S8XfYLOHuwKhC03v7ZdU1n9dx17FxvXyXSJ+YOPNE9b08eztiTvZHtmX+Xe24NjczCNP449UPZcBWFBo2uYf749qWSi5g9mQ4namYWpro1AVXDRpuwqyv1+ZxpHNSW5sGdyt2+3b7Dqh/X1f5PmdeS8g6z4NhU3tn5IBN33Mdn+19gy+nVWLXyJx1XNUkshBCXtIoMDZTX9qs1CU6XnRa/K9DP163lqeWxaTrZeQV88/emCr3v6O7j3N/icX64ZxpRM7Zg2pZM0Npj+O9IxSc9j4ifdoNNh3OLZtk00HVClx7A7+hZRaOMKr9MtZcyjw+6nDvinsSgGM95MLr/QRVU5hx5nw3pK7Bo9loY7qyU0NHYcHoFBbayPUG9Y4ZgjjSVSi5unbDR4fCIgkqkb22nPS8qKg0CmlMvoLHbn8tdqqJyR4OnaBd+TUk8KgbUolVqYT61GNn41ZJ5JcVWJs9l8t4n2JC+nIzCFHKsmRw272LO0Q/4ZN/T5BRmeDxWd8jkTSHEJa1Zbfd2rjSoCi3qRpc5nl9oZdn2vS6LTtk0nT1Jqfj7+JBf6GBViJtsus4P67fx2HXdHa8KOUfq8TSe6DGe7HR7L4fhlJnwxfvROfPoN+0/TfT0zZg71CG3VRS6nxGsGv47UwlMOInvqdLFoWxWjf2bD5X83CrsShoEtmBD+m8kZq6jQMsjzCcKg2JkX84Wl70BOhr7crawN2czS0/OZFjD5zls3ulyeACgUCsgueAYsedMqIwxNaBDWG828jvLR7fk1gkbS15bPrplqTkXOhr+hiBiTCZO5R8uszGagkKEb23ubPC0y3gqy0f15bbYR+kdM5RNp1eSYUnBV/WjeUgnGge1RVVK/11vSF/B8qRZAKXuU/G9Tsk/xlcHX+Xhy95GVZwto/c8SSyEEJe0NrG1aRIdyf7kNKcd+jZNZ2jXsiszsvLy3a5kadU0Phg6kKdmLypTAVNVFLeTjaz8ArLzLYQFOF8aCTDnnZ/JTs9Bs5V+SJ/bn2BMzyf0t4OE/nYQXVVA0532ORiMpR9WwT7h9IoZQq+YISXHMiwpTN47lgJbnhvJhf2z59nMTD/4MpYKlNnXdcfnjgtsxu79i7j24x2ljl/78Q6Hq0UebPIG/6QtZW3qYjIKk+2fyxjBFbUG0DWyPyZDIFUtwjeGPjFDnbbRdBsrTs123gaNk/kH2ZO9ieYhnTwZoksyFCKEuKQpisK4QT1RlPJGuO0P4Vs7teKy2mV3+wx0UKq7/GvBlZc1YP5jwxjatS2ms1Z4XF7P/Z1JgZLy385Y8i0s+fL3MkmFyzhdJBWqQaXtNZe7PE+YbxQjGr1CoNG+gqD8O3yGjkah5n5pcAWVWn51Hb5WJzOg1JyKeS93cDihU0Wltn88vqqJq6Ju4qnmU3ih5Uz+23IGz7SYxjXRt1ZLUuGug+YdZDnbSK2IgsqG9N+qIaLSJLEQQlzyujWJY/KwGwky2esYGFQFVbH/URS4s1tbxg/u4/C9gX6+XNEkrqQiZnkMqkKPZvH4+RiJiwzjvzf2Yt2Eh1n93wf556XRfPfwHTSJjnT56FUV+5CMOwlN6vF08nIqsMGemzSbRkzDKF669R0evfK//HfgRJbPXIUlv2xdi7r+8TzVfAo9DXcTYW6Aorl+7Jw7FOFMbVNDAowOVmqcOkW9J94mIkUjK9qf+ePbc6ppaJkJnYFp+WhodIm4ruStiqLgbwwiwBhcZgjiQpBhSXarnY5GuqX69xeRoRAhhAB6tmjEyucfYMnW3azff5RCm0Z8VDg3d7qcumHOa+4Mv6oja/cdcdrGpunc071DqWM+BgORQWcKQd3dvT0vzXfyDdOm4bs3nbA1yTz4xVMEhQdy9S3duPaeHgSGlv1GrajnMVPUiaDwQD5+9EtUg4Jm01FUhX8WbWTaM1/z+q/jaNrxzATHxL938/lz37D9z12g6nTZ6Nny3znW02i6VjoBKKo+qhw/TmCDFnz5VGBJ8aviCZ3FPRk3v7KZPf97qEomZVYVX9X1EFgxP9W/CiNxTApkCSGEB3yyYh0f/7a2zFyJ4p8f79edkT27OD2H1abxyNc/s2bPwTKrPw0Z+UR+vwNjRj6KqqCfNT/DFGTilZ+eoX3v1qXeY7PauN7/TjSb537NB4YGkJeT73B4RTWo+AeZmJLwNnUaxbBh2RZeGDgRXdPQiqqZdk7Q8PRcwseaTiK6eMXE2SXN69WDadNINB1k7tFJWLR8FBR0dILTLNz0SgK103wIbdgW9bPP7VVLLwJmaxZv7hhRsvtpeRQUrqv9H3pEe2YrAimQJYQQ1ejhPt2YdPcg2sTWLnW8XVwdPrrnRpdJBUBeVi7XpCg0nrmDOu+uo/aH6wn7dS++RzKoNTsRY6Z9WEM/Z7Jofk4+4wa8zoGth0uO6brOuyM+8WhSAZCblVfunA3NppFvzmfOOwvIzy3gtaHvoZUkFQAKWRtAP78tS8r4K3Uha1MXkX1sF9rI/yPvyB4yonzZ++7DFEaFc3loN55r8QU31XuIVqFX0jKkK+2a3070jCWEx7dHPXGy3O3mL0SBxhDahvdwUZhMQVWMdIxwPIRXlaTHQgghPCw5K4eM3HzCAkwoWQUs+uw3/l7wL3k5+dSOj2bAiD5cdUsXfM4qmLVvyyGe6jkBc2ZuqXMpBhXdzcmXTTs15uN/3gRg1hvzmP6C85UDVcXX5MND7w5n0ujPy7wW1kun6fueHQ5RUAlIy3VY/MpkCKR7rUH0jL7V8bJLBz0cF0PPRZ41h6n7nye14ESZFTfFk2TviHuSVmFXeuya7j6/JbEQQogqsuLbNbxz/8foml7yLV9VFTRNJ7Z5Pd5a9iJR9SNZMv133vu/Tx1vTlZBM/d/RHhMGLdF3U9Bnmc3CauIzgPas2Hp5jK9K6DT6FWNyIFlqo4D9iShtimOpPwjbm/H7s7W523CrmZI7GOOJ2NerMmFzcxvSbNISP+dQv3MSpq4gOZcW/suGgW18uj1JLEQQggvSli+hXH9Xy83WTAYVeo0rs2dzw7mnfs/8dh1hzx1I5d1aMQbd31w5uA5G5JVWgXO0653Kzb/vt3xi6pO3ZE6tYfpGIOguFqXQTHSMbw3A+rex4GcbXx96A23YhryfAJRh7LLTSqKDY0bS5uwqxyfp5zt5i8GBbY8juXtw6oVEulXu9zlt+dL5lgIIYQXzZjwvdOq1jarxrHdJ/jQwXDB+TiUeJTkI2c2KmugZ/Is/xLmouCUr7+v01UkEaqFF02biVeyym1TLKZhFA1a1MdgLOcRoymcmKqyqY/K3rEqzU725vbYxxnX4ktuqv9QScXJLhH9XF4LRWHViKakNAx2mlQArEye5yToou3mmzcvtd38xcDP4E/joNY0C+lQZUlFRUhiIYQQHnZ093F2rtvrYBigNEVRsHh4uGLTim3Mer3oAarr3MFu4sjmCRLKTS7qNI7hpR+fxmBQUR0U3opQLYwLTKRtjIHbtV1ONyxTFIXBYwbQf0RvbFYX1TYLFAo2BDD0mpG0De+BvzGo5LUDOdv4J32pG58YkpuE8MMbHZ0mFQCn8g/z+b4XyLVmO24QE2PvqbjcdfEvUT5JLIQQwsNOHnCzgFEVjERbLVZys4s25VIUptKGVEzUIr/c5KJWvQg692vHB3++Rqd+bUv1tNQJUngr/iitG4UQ0qYZWwbe6/TbvK7rzHhpDlOfmkmzzo1d1tK4+4Xb8PP3K3P8z5SFLjchK8XNHoaDuTv56uAr5e/+eRH1VFyopECWEEJ4mJ+/+2W+q1qGYuJ9vSNPkFCSXLyvdyRDOfPtvla9CACadW7C6788T+rxNE4eSMYvO4PGn7yBIUktmdTo9/ovwI5yrmaXn5PP1lU70GwawRFBZKfnYDCqJT0Yxf9/6DM3cduTg8q836oVsic7oUIVON2nczxvP9sy/6R9eK8qOL+QxEIIITysWZcm+AeZXJbTPrfQVVVxlVz0uqP0hMZa9SKpZbTCA89B0smSpMJsCmLR5yvcumbxKhhzhpnWPVoQEhnM/s2HMPgYaN+rFYNG9aNRmwYO31uoFVRRUmGnoLAudbEkFlVEEgshhPAwU4Af1/9fH+ZPXux0AzBd0/EL8KUg1/U8i7Y9L6fXnVfxyWNfYikotFeQrMBQiqPk4gOlE/6N4uhyffvSjctZfrnu2zUU5pczhFAOTdPZtnonX+2ZRL0mddx6j6/BH4Pig02v2LXcpaOTlO+8BLuoPJljIYQQVeCel4cS3zrO4WTI4jkMD7xzD2MmjXB5ru43d2Hikv9yw8i+zDn5GaM/vJ+ed1xJZN3wCsWUoZh4n44lcy6e9tnCxJkPYDCcVTjKSU2HrLTsSu0/ohpUls9Y5XZ7g2KgXViPCs2xcGfn1FLtZS5FlZHEQgghqkBAsD/vrXqFgQ9eW2bORd3GtRn37WMMeXIQ/e/vzdjPHsIU6Gev5WA0lCQjPiYfHvtkJC/Ne7qkSmdgaCCDxwzg+W8fp23Pyx0nLudQFAiNstcdyFBMfBZ2NX6XxdO+WQR133zxTClrF4WiQiKDKzV0oyiQctz1Nt9n6x41EKfrdbEnE82DO9MipAvtw3sxNPZJDG50xCuoNAhoXqF4hPukQJYQQlQxc1Yu21bvJN+cT3RcLVp0a1rmG3NeTh5/fPcXexIOANC0YyN63dkd/6Dyd6f8/bs/mfifD92K4Ysd7xMWHYrNqhESGYQhNbV0EvHqq/Dii06rT5ozzQypM7LCwyEGo4GBD17LmMmue2fOtiPzH7478g7oOtpZVTiLezKGxD1epuDVrye+ZF3qolLtHbm74ThahHSuUDwXMl3XOZy7i6O5u9F1nTr+8TQOauPRbd+l8qYQQtRwloJC7op7iOy07LM2+irNYFRp3aMl7/w2oeyLZ/dQFHNR0vqTx6fz00eLK9xz8dayF+nQt02F3gOQWnCCdamL2ZSxknybGT81gLbhV3NF5PVEm2LLtM+1ZvPJvmfItKSUk1wotArtxtC4Jz360PWmQ+ad/HRsCikFx0o2JtPRCPOJYmC9//NYAiWJhRBCXAK2/7WLZ699FWuhtcxEUdWoEhETxqS1bxBVP9LxCbZuhfvvP/Pzl19Cm/ITAEtBIRNueosNy7e4NYFUNajUaRTDlzs/QFXP70Gu67pbcyOyC08z7+hk9uZsRkFBQUVDw6AY6BrRn/5178Gg1Iy1CwdzEvny4EvouuZgJY0C6NwZ95RHNiOTxEIIIS4R+7cc4qsXZ7P+140lD3ofPyN9/tODe1+9g8g65UzyrESPBYDNamPp9D/4cdIiDiceLbedoir4B5v4YM1rxLeKq9RnOx+pBSfYmfUPBbZ8QnzCaRV6JQHG4GqPo6pousa7u0aRWZjqZHmugp9q4rmWX+Krli1EVhGSWAghxCUm5VgaR3YeQzWoNGkfT3B4UPmNz52o6cYci3NZrTbG3/imfRfTcp4kg0Zdx6MfjzyPTyXKsyd7IzMOvuZW21vqj6ZjRJ/zup5sQiaEEJeYqPqRdLy2Le17t65YUjFtmn34Y9o0+8/Hj9tfL14tUo5fpixjw9ItzrYOYeGUZWxZmVjJTyScOWzehYrBZTsVlUPmndUQkV3NGGQSQoiLRMqxNBZ99lvJ6o/LOsRz/ci+RMfWqp4AnC0pLd7h84EHsB46QuFd92D96BOCWzQucxpd1/nxw19dVsg0GFXmT15E256ysZenabrNrXZ6Bdp6giQWQghRDXRd59vX5jHz5TkoilIy0XLD0s3Mev1H/vPCrdzz0u3nXbhJ0zTW/ryBnz5aTOJfu9BsGrHN63Hjw/25tl9zTI8/4nS4Y81fh1hyvCE3bP2XWhwmteXV/NHzHm4YfzfterUqaXfywClOHnDeowH27eHX/7rxvD6TcCzaVB8NdxIG3eEKmqoiiYUQQlSD799ewIwJ3wOU+pZfnGB88+pcfPx8uOv5Wyp1fpvVxpZVicwY/z071u5BNagl5z6ceIyZD08mNmgHrRqFYGwQ5zCp+OL5Wcx+cz6qQWUPZ8p/9171Na/3SWT4lEcZ+OC1ABTkFrgdm9ViRdO0814VIkq7PPRKFh7/nAItz2k7BYWO4b2rKSqZYyGEEFXOnGlm5stzXLb75tUfyD6dU6Fza5rGD//7mTtjH+TZa19lx9o99uNnLT0N1fJ4Qk8gIOc0O4+Y0adOLdtTMW8ds9+cX/Les8t/R+r2988YNYndG/YDEFkvwu3y3pF1wyWpqAK+qh/96gxz2a5H9C0E+YRVfUBF5G9aCCGq2Ipv/8RaYHXZzmqxseKbNWWO67rOrn/28v4DnzK253jG9X+Nue8tJDMti3fu/Zhpz3zN6VOZDs8ZpueX9Dyk6iZeOd2MxH2ny7T74b2FZcqDn7u3yFg2suzt2QCERATT/abOLkuKqwaVG0Ze6/Kzi8rpGtmf6+vch4paar8UpejnHlG30CfmjmqNqVJDIR9//DHvvPMOSUlJtG3blsmTJ9OlSxdPxyaEEDXCkZ3HMBhVrIXOx8NVo8rhHaXrQuSZ83n9zg9Y/0sCBqOKzWrviUhYvpXPn/sWm9XJOXWdB9lqTyqwJwnZPgEsn7mKVle1KGmWnnSanUU9HecqtSuqnsfl8z5D18ahqCp3Pn8LaxcmoCg4XBmiGlQCQwMY+JBnE4vM1CyWzVjJ9j93oWkara9uwc2PXl+yn8qlpnvUINqGXU3C6RUcMe9BR6OOfzydI64lzDeq2uOpcGLx/fffM3bsWD799FO6du3KBx98QL9+/di9ezfR0dFVEaMQQlzUDEaDi7UTZxh9zvxa1nWdV4e8S8LyrQAlSUXxa06TCgBFYbbejDvYzVTakKGYwKqRdrJ0j0VORq7T0xQnFw+yldlaU64qtOHrp9K0Y2MmzHuKV29/D5vVdmb4peiLc3B4EG8ue4HwmDD3PrwLmqYx/cXZzHnrp1IlzNctTOCLcbO49YkbGPnWsEty59IgnzCuib7V22EAlRgKee+99xg5ciT33XcfLVu25NNPPyUgIIAvv/yyKuITQoiLXqurW2Bz0VsBYCu00eqqM7tubl29g3+XbC5TqrsiDiuhvEVne1LBmV6Es4VFhbjaSJQMxcRbdCYpMBpfvzM9A1cM6sTM/R9x94u3Edu8HhF1wmjSLp7RH9zPjL2TaNIuvtKxn2vqUzOZPXG+w31RNJvGD/9byJvDJnvseqJyKtRjYbFYSEhIYNy4cSXHVFWlb9++rF271uF7CgoKKCg4M3s4KyurkqEKIcTF6cobOxEeE0pGcla5e2soikJIrWC633xmWPnXqctLDX9U2lnf4DWbxlU3dy31ckhkMB37tmHT79udJzGKQmFBIZt+30b73q1LDteqG8Gw8UMYNn7I+cXpxJFdx/nxg19dtvt91hquG34NHa9tW2WxCOcq1GORmpqKzWYj5pzZxDExMSQlJTl8z8SJEwkNDS35ExtbfWtphRDiQmAwGnhmxiMoquJwJUXx8We+GlNqKORQ4tHzTyrOohpUatWL4IobO5V5beizg9E019fSNI3xN71FRorjyaJV5Zepy9xu+81rc6swEuFKla8KGTduHJmZmSV/jh4tf8MaIYSoqTpd15Y3l75AvSa1AVBVpWQJZt3GtZm4+L90GdC+1HuMvp4rNWQwqvgHmXh14XOlkpdi7Xu35pHJI1yfSIeCPAtLvvjdY7G5I/GvXe63/XO3y11XRdWp0L/aWrVqYTAYOHVO/fhTp05Ru3Zth+/x8/PDz+/8dlQTQoiaoH3v1ny580O2rdnJnqJ6EJd1aESba1o6nHDYoU9r9m8+dF5zLACMPgb63N2Du56/hbqNHf+uBmjUtqFb59M1nRXfruGO524+r7gqQrO5nyjouo610HrJrhLxtgolFr6+vnTs2JEVK1YwePBgwN4ttmLFCsaMGVMV8QkhRI2iKApterSkTY+WLtve8OC1zHnnZ+fnUxVUVUHTdPRzJjX6B5kYM3kE3Qd3JjA00OX1stPdL86VmZbtdltPaHlFU/ZtOuhW26CwAEkqvKjCQyFjx47ls88+Y8aMGezcuZNRo0ZhNpu57777qiI+IYS4ZNWJj2Hk2+VXVjQYVUJrhfDxv28x8q1hNG7XkKj6kTTpEM+o9+7l28NTuG54T7eSCoDQWsFuxxYWXf622VXh5kevd7vtjQ/3r8JIhCsVHsAbOnQoKSkpjB8/nqSkJNq1a8eSJUvKTOgUQghx/oY8OYjgiCC+/O8sTidloKhKSc9Eu16teHzqg9RuGE3jtg0Z8uSg87pW866XERUbScrRNKftFFXh2mE9z+taFVW/aV36DuvBb1+vdtrOFOTHoFHXVVNUZ2QVppNZmIafaqKWXz1U5dItbK3o1TzDJSsri9DQUDIzMwkJqd6MVwghLlY2q40Ny7ZwYl8SPn4+tO/TinpN6nj8Ogs+XsJHj3xR7uuKqhAQ7M/MfR8REul+D4cnaJrGm8Mm8cd3fzl83T/Yn3dWTKBZp7LbvFeVgzmJ/JH8A/tztpYcC/OJpnvUQLpFDkBVDNUWS1Vz9/ktiYUQQogSuq4zecznLJyyrNQOqWAvOe5n8mXikhe4/MpmXovx8I5jTHt6JjvW7qHQUkhYTCiDRw+g//29CQpzb9jHEzafXsUPRyehoKBTdoJty5Cu3NngqRqTXEhiIYQQokT26RxyTpsJjghy+fDVdZ2/F/zL/EmL2LIyEbBPBB0wog+DHx1AnXgZ+k4tOMEHux91mFCcodC/9jCujh5cXWFVKXef355bJC2EEOKCk7B8C3PeWcDG37bZDyjQ6bp2DHnqRjr0ae3wPYqi0H1wF7oP7oIl30JBnoWAEH8MhprxzdsT/klbigIu9oDR+St1Id2jBtWYXgt3XLqzS4QQoob74d2FPNfvNTb/kXjmoA4bf9vKs9e+wo8fui6R7WvyJTg8SJKKc2zL/BvNaW+FXbb1NCfy3FsmW1NIYiGEEDXQpt+3Me3pmQBlCmwV/zzlia/YunpHtcdWE1hseW63LdDcb1sTSGIhhBA10Nz3FqIanP+KNxhVtzb2EmUF+4S73TbE6H7bmkASCyGEqGHyzPn8s3iTy1LgNqvG2p//xZJvqabIao6OEX1QXOw1r6BQxxRPlKl+NUV1YZDEQgghahhzZq6rWYUlNE0nN/vS6qr3hI7hfTAZAlGcPEZ1dHrFVN1W8hcqSSyEEKKGCQoLdDkMUszgYyAwNKCKI6p5AozB3Bc/AZMhoEzPhVr0aB1Q514uD+3mjfC8ShILIYSoYUwBfnQf3AWD0dUcCwM9busmG3ZVUr2AxjzebBJ9Yu4kzCcKg2LATw2gbVgPRjV5m6uibvR2iF4hdSyEEKIGuu3JQfz543qnbTRN49bHB1ZTRDVTkDGMXjG30SvmNm+HcsGQHgshhKiBWnZrytjPR6EoSpmeC4NRRVEVnp4+mmadm3gpQlFTSY+FEELUUP3v60V86zjmf/grq+b8jbXQhtHXSK87unPzo9dzWYdG3g7RodzsPHIyzASFBRIQ7O/tcEQFyV4hQghxCbDZbBTkWvAL8L1gq2hu+n0bc99byD+LN4Fu30m16/UduO3JQbS95nJvh3fJk03IhBBCXDR+/PBXpjzxFQajis1aekdVzaoxZvIIbhrd34sRCnef3zLHQgghhFdtWZnIlCe+AiiVVABoRT9/9MgXbP9zZ3WHJipBEgshhBBeNfe9hagul8aqzHv/l2qKSJwPSSyEEEJ4TZ45n/WLNpb0TJTHZtX4e4GUH78YSGIhhBDCa8yZueiae1P9pPz4xUESCyGEEF4TFBaIqjrfzKuYwagSECLlxy90klgIIYTwGlOAH1fc1NmN8uMqV93aDV8/KT9+oZPEQgghhFfdNnYQNhdbvGs2XcqPXyQksRBCCOFVrbo354lPHwQFx+XHFYWxn4+iRdfLvBShqAgp6S2EEMLrrh/Zl/g2Dfjxw19YM3cdNquGwcdAj1u7ccvjN9C8iyQVFwupvCmEEOKCYi20kpudR0CwP0Yf+f57oXD3+S1/Y0IIIS4oRh8jIRHB3g5DVJLMsRBCCCGEx0hiIYQQQgiPkcRCCCGEEB4jiYUQQgghPEYSCyGEEEJ4jCQWQgghhPAYSSyEEEII4TGSWAghhBDCY6q9QFZxoc+srKzqvrQQQgghKqn4ue2qYHe1JxbZ2dkAxMbGVvelhRBCCHGesrOzCQ0NLff1at8rRNM0Tpw4QXBwMIqiVOelycrKIjY2lqNHj8o+Jcj9cETuSVlyT0qT+1GW3JOyauI90XWd7Oxs6tati6qWP5Oi2nssVFWlfv361X3ZUkJCQmrMX7QnyP0oS+5JWXJPSpP7UZbck7Jq2j1x1lNRTCZvCiGEEMJjJLEQQgghhMdcUomFn58fEyZMwM/Pz9uhXBDkfpQl96QsuSelyf0oS+5JWZfyPan2yZtCCCGEqLkuqR4LIYQQQlQtSSyEEEII4TGSWAghhBDCYySxEEIIIYTHXLKJxY033khcXBwmk4k6deowbNgwTpw44e2wvObQoUOMGDGC+Ph4/P39ady4MRMmTMBisXg7NK95/fXXufLKKwkICCAsLMzb4XjFxx9/TMOGDTGZTHTt2pV//vnH2yF51erVqxk0aBB169ZFURR++uknb4fkVRMnTqRz584EBwcTHR3N4MGD2b17t7fD8qopU6bQpk2bksJYV1xxBYsXL/Z2WNXqkk0sevXqxZw5c9i9ezfz5s1j//793Hbbbd4Oy2t27dqFpmlMnTqVxMRE3n//fT799FOef/55b4fmNRaLhSFDhjBq1Chvh+IV33//PWPHjmXChAls3LiRtm3b0q9fP5KTk70dmteYzWbatm3Lxx9/7O1QLgirVq1i9OjRrFu3juXLl1NYWMh1112H2Wz2dmheU79+fd58800SEhLYsGEDvXv35qabbiIxMdHboVUfXei6rusLFizQFUXRLRaLt0O5YLz99tt6fHy8t8PwuunTp+uhoaHeDqPadenSRR89enTJzzabTa9bt64+ceJEL0Z14QD0+fPnezuMC0pycrIO6KtWrfJ2KBeU8PBw/fPPP/d2GNXmku2xOFt6ejrffvstV155JT4+Pt4O54KRmZlJRESEt8MQXmCxWEhISKBv374lx1RVpW/fvqxdu9aLkYkLWWZmJoD83ihis9mYPXs2ZrOZK664wtvhVJtLOrF49tlnCQwMJDIykiNHjrBgwQJvh3TB2LdvH5MnT+bBBx/0dijCC1JTU7HZbMTExJQ6HhMTQ1JSkpeiEhcyTdN4/PHH6d69O61atfJ2OF61bds2goKC8PPz46GHHmL+/Pm0bNnS22FVmxqVWDz33HMoiuL0z65du0raP/3002zatIlly5ZhMBi455570GtYIdKK3hOA48eP079/f4YMGcLIkSO9FHnVqMz9EEK4Nnr0aLZv387s2bO9HYrXNWvWjM2bN7N+/XpGjRrF8OHD2bFjh7fDqjY1qqR3SkoKaWlpTts0atQIX1/fMsePHTtGbGwsf//9d43qsqroPTlx4gQ9e/akW7dufPXVV6hqjco9K/Vv5KuvvuLxxx8nIyOjiqO7cFgsFgICApg7dy6DBw8uOT58+HAyMjKkdw9QFIX58+eXuj+XqjFjxrBgwQJWr15NfHy8t8O54PTt25fGjRszdepUb4dSLYzeDsCToqKiiIqKqtR7NU0DoKCgwJMheV1F7snx48fp1asXHTt2ZPr06TUuqYDz+zdyKfH19aVjx46sWLGi5MGpaRorVqxgzJgx3g1OXDB0XeeRRx5h/vz5rFy5UpKKcmiaVuOeLc7UqMTCXevXr+fff//lqquuIjw8nP379/Piiy/SuHHjGtVbURHHjx+nZ8+eNGjQgP/973+kpKSUvFa7dm0vRuY9R44cIT09nSNHjmCz2di8eTMATZo0ISgoyLvBVYOxY8cyfPhwOnXqRJcuXfjggw8wm83cd9993g7Na3Jycti3b1/JzwcPHmTz5s1EREQQFxfnxci8Y/To0cyaNYsFCxYQHBxcMv8mNDQUf39/L0fnHePGjWPAgAHExcWRnZ3NrFmzWLlyJUuXLvV2aNXHu4tSvGPr1q16r1699IiICN3Pz09v2LCh/tBDD+nHjh3zdmheM336dB1w+OdSNXz4cIf3448//vB2aNVm8uTJelxcnO7r66t36dJFX7dunbdD8qo//vjD4b+J4cOHezs0ryjvd8b06dO9HZrX3H///XqDBg10X19fPSoqSu/Tp4++bNkyb4dVrWrUHAshhBBCeFfNG0QXQgghhNdIYiGEEEIIj5HEQgghhBAeI4mFEEIIITxGEgshhBBCeIwkFkIIIYTwGEkshBBCCOExklgIIYQQwmMksRBCCCGEx0hiIYQQQgiPkcRCCCGEEB4jiYUQQgghPOb/ATatzrqZJfgnAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "random_seeds = [\n", + " 0,\n", + " 0xcafebabe,\n", + " 0xd05f00d,\n", + "]\n", + "\n", + "k = 6\n", + "\n", + "for seed in random_seeds:\n", + " km = MyKMeans(k=k, random_seed=seed)\n", + " km.fit(X)\n", + " ixs = km.predict(X)\n", + " plt.scatter(X[:, 0], X[:, 1], c=ixs, s=50, cmap=\"viridis\")\n", + " plt.scatter(km.centroids[:, 0], km.centroids[:, 1], c=\"red\", marker='x', s=200, alpha=.8)\n", + " plt.show()" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": { + "id": "UuBTKeRnWT7B" + }, + "source": [ + "**Task: Rerun the above code with different values of $k$ and different random seeds.**" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": { + "id": "3itUf3S1Wbiw" + }, + "source": [ + "## Quality of k-Means Clustering (contd.)\n", + "\n", + "Thus, different initial centroids in k-Means might result in very different clusterings. For this reason, we need a way to quantify the *quality* of a clustering. This is typically done by using the *potential function* $\\Phi$ which measures the squared distance between each data point and its closest centroid:\n", + "\n", + "Let $C = \\{c_1, \\ldots, c_k\\}$ a set of $k$ centroids, then\n", + "$\\Phi(C, X) = \\sum_{i = 1}^{m} min_{c \\in C} d(x^{(i)}, c)^{2}$.\n", + "\n", + "In practice, one will run k-Means several times with different randomly selected initial centroids, and then choose the \"best\" clustering that was obtained." + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": { + "id": "jzo1JuQ1X8Nf" + }, + "source": [ + "## How to choose the number of clusters $k$\n", + "\n", + "If we know how many clusters we are expecting in the data - e.g. because we want to have a specific number of clusters for subsequent processing, or we know the correct number from domain expertise - then we can just select the proper value for $k$.\n", + "\n", + "However, in most cases, clustering aims to discover the hidden structure in the data and it is not clear what the \"correct\" number of clusters is. In fact, in many cases different values for $k$ are reasonable. For instance, in the following picture either $2$ or $6$ clusters seem very obvious, but also $4$ clusters might be reasonable:\n", + "\n", + "\n", + "\n" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": { + "id": "lobDuxvDvBtc" + }, + "source": [ + "In this case we can use the **Elbow Method** to determine a good value for $k$. In this method, we run k-Means with different values of $k$ and plot the value of the potential function $\\Phi$ for each value of $k$.\n", + "\n", + "\n", + "Then the value of k at the point where the slope of the curve significantly decreases (or where the elbow would be if we imagine an arm along the courve) is a good choice for the number of clusters. This is because afterwards the improvements are only marginal. \n", + "\n", + "Applying this approach in the example below, we would set $k=4$. " + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "id": "UGj-snxKv1-B" + }, + "outputs": [], + "source": [ + "def potential(X, centroids):\n", + " dists = pairwise_distances(X, centroids, metric=\"euclidean\")\n", + " dist_to_assigned = np.min(dists, axis = 1)\n", + " return dist_to_assigned @ dist_to_assigned" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "id": "p62VVKOzwl_B" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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FbNHq3LSO6tzBoZp6vzZ9XWF2OQAARJwWBRjDMDRt2jQtWrRIy5cvV3Z2dsjxESNGKCEhQcuWLQvuKy4uVmlpqXJzcyVJubm52rRpk/bt2xccs3TpUrlcLg0YMCA4pvl7BMYE3iPWNfbBcF8kAABOpkUBJj8/Xy+99JIWLlyolJQUlZWVqaysLNiX4na7NXXqVM2YMUMrVqxQYWGhbrvtNuXm5mrUqFGSpHHjxmnAgAG6+eabtWHDBr3//vt64IEHlJ+fL6fTKUm68847tXPnTv385z/Xtm3bNG/ePL3++uu6++672/jrRy7WgwEA4BSMFpB0wu2FF14Ijjl69Kjxn//5n0anTp2M5ORk45prrjH27t0b8j67du0yJkyYYCQlJRldu3Y17rnnHqO+vj5kzIoVK4yhQ4caDofD6NOnT8hnnA6Px2NIMjweT4teFym27vUYvWYuNvo/uMSoa/CZXQ4AAO3idP9+n9E6MJEsWteBCfD7DQ1/ZKkqjtTr7/95kYb37GR2SQAAhF27rAOD8LFaLbqwaRE77osEAEAoAkwEC97YsYQ+GAAAmiPARLCcpgXt1pccUoOP9WAAAAggwESw/hkuuZMSVF3n05Y90XlrBAAAwoEAE8GsVkvwZo5MpwYA4BgCTITjvkgAAHwTASbCBRp515ccks8fkzPeAQBoMQJMhOvfzaWURLsqaxv0GX0wAABIIsBEPFvz9WCYTg0AgCQCTFQITKemkRcAgEYEmCiQk93YB7OOPhgAACQRYKLCwEyXOjrt8tY0aFsZfTAAABBgooDdZtXI3o03c1zDfZEAACDARIvgfZHogwEAgAATLXKyGxt51+06JD99MACAOEeAiRKDuruV7LCp4ki9issrzS4HAABTEWCiRILNqpGB9WC4jAQAiHMEmCgSuIxEIy8AIN4RYKJIoJGXPhgAQLwjwESR83u4lZRg06HqOn2xr8rscgAAMA0BJook2Kwa0atxPRjuiwQAiGcEmCgzqk+gkZc+GABA/CLARJmcwIJ2JQdlGPTBAADiEwEmypzfw63EBKsOVNVpx376YAAA8YkAE2WcdpuG92zsgyngMhIAIE4RYKJQTjb3RQIAxDcCTBQKNvKWHKIPBgAQlwgwUWhIVqocdqv2V9Zq54Fqs8sBAKDdEWCiUGKCTcN7pkpiOjUAID4RYKJUoA9mDX0wAIA4RICJUjnBPhjWgwEAxB8CTJQa3rOTHDaryr21+vLgEbPLAQCgXRFgolRigk1Ds1IlcRkJABB/CDBRrPl0agAA4gkBJooF7ou0Zid9MACA+EKAiWLDe3ZSgs2ivZ4a7T501OxyAABoNwSYKJbksGlIj1RJ0poS+mAAAPGDABPlAtOpaeQFAMQTAkyUG9UncGNHGnkBAPGDABPlRvTqJLvVoq8rjmr3IdaDAQDEBwJMlEt22HV+D7ckplMDAOIHASYG5AQvI9EHAwCIDwSYGJCT3dTIy0wkAECcIMDEgJG9O8tmtWj3oaP6uoL1YAAAsY8AEwM6Ou0a1L2pD4bLSACAOECAiRHB+yIxnRoAEAcIMDFiVHZTIy99MACAOECAiREje3eS1SLtOnhEZZ4as8sBACCsCDAxIiUx4VgfDGdhAAAxjgATQ4LTqWnkBQDEOAJMDOG+SACAeNHiALNq1SpdeeWVyszMlMVi0Ztvvhly/Ec/+pEsFkvINn78+JAxhw4d0pQpU+RyuZSamqqpU6eqqqoqZMzGjRt1ySWXKDExUVlZWZo7d27Lv12cGdm7sywWaeeBau3z0gcDAIhdLQ4w1dXVGjJkiJ599tmTjhk/frz27t0b3F555ZWQ41OmTNGWLVu0dOlSLV68WKtWrdIdd9wRPO71ejVu3Dj16tVLhYWFevLJJ/Xwww/r+eefb2m5ccWdlKAB3VySpDXcFwkAEMPsLX3BhAkTNGHChFOOcTqdysjIOOGxrVu36r333tP69es1cuRISdLvfvc7fe9739N//dd/KTMzUy+//LLq6ur0l7/8RQ6HQwMHDlRRUZGeeuqpkKCDbxrVp4u27PFq7c6DumpIptnlAAAQFmHpgfnggw+Ulpamvn376ic/+YkOHjzWVFpQUKDU1NRgeJGksWPHymq1au3atcExY8aMkcPhCI7Jy8tTcXGxDh8+fMLPrK2tldfrDdniEY28AIB40OYBZvz48frrX/+qZcuW6YknntDKlSs1YcIE+Xw+SVJZWZnS0tJCXmO329W5c2eVlZUFx6Snp4eMCTwPjDnenDlz5Ha7g1tWVlZbf7WocGF2Yx/Mjv3V2l9Za3Y5AACERZsHmMmTJ+uqq67S4MGDNWnSJC1evFjr16/XBx980NYfFWLWrFnyeDzBbffu3WH9vEiVmuxQv4zGPph19MEAAGJU2KdR9+nTR127dtX27dslSRkZGdq3b1/ImIaGBh06dCjYN5ORkaHy8vKQMYHnJ+utcTqdcrlcIVu84jISACDWhT3AfPXVVzp48KC6desmScrNzVVFRYUKCwuDY5YvXy6/36+cnJzgmFWrVqm+vj44ZunSperbt686deoU7pKjXnA9GFbkBQDEqBYHmKqqKhUVFamoqEiSVFJSoqKiIpWWlqqqqkr33nuv1qxZo127dmnZsmW6+uqrdc455ygvL0+S1L9/f40fP16333671q1bp9WrV2vatGmaPHmyMjMbZ83ceOONcjgcmjp1qrZs2aLXXntNv/3tbzVjxoy2++Yx7MKmMzCfl1fpYBV9MACA2NPiAPPxxx9r2LBhGjZsmCRpxowZGjZsmGbPni2bzaaNGzfqqquu0nnnnaepU6dqxIgR+te//iWn0xl8j5dffln9+vXT5Zdfru9973u6+OKLQ9Z4cbvd+r//+z+VlJRoxIgRuueeezR79mymUJ+mzh0c6peRIok+GABAbLIYhmGYXUQ4eL1eud1ueTyeuOyHeeitzXqx4Ev96KLeeviqgWaXAwDAaTndv9/cCylG5TT1wdDICwCIRQSYGBXog9lWVqnD1XUmVwMAQNsiwMSorh2dOjetoyRpLX0wAIAYQ4CJYUynBgDEKgJMDMvp03gZae1OzsAAAGILASaGBfpgtpZ55TlS/y2jAQCIHgSYGJaWkqizz+ogw5DW7eIsDAAgdhBgYhzTqQEAsYgAE+No5AUAxCICTIwb1dQH89kerzxH6YMBAMQGAkyMS3MlKrtrB/kN6WP6YAAAMYIAEwdGBaZTs6AdACBGEGDiQE42jbwAgNhCgIkDgQXtNn/tUWUNfTAAgOhHgIkD3dxJ6tUlubEP5svDZpcDAMAZI8DEiZym2UhcRgIAxAICTJwIrgfDfZEAADGAABMnAivybvrao6raBpOrAQDgzBBg4kT31CRldU6Sz2+okD4YAECUI8DEkcB06rX0wQAAohwBJo7QyAsAiBUEmDgSaOTd+JVHR+rogwEARC8CTBzJ6pys7qlJaqAPBgAQ5QgwcSawKi/TqQEA0YwAE2dGBRp5S+iDAQBELwJMnAmcgSnaXaGjdT6TqwEAoHUIMHGmZ+dkdXMnqt5n6NNS+mAAANGJABNnLBYL06kBAFGPABOHAtOp15TQyAsAiE4EmDgUuC9S0e4K1dTTBwMAiD4EmDjUu0uy0lKcqmvw69PSCrPLAQCgxQgwcchisQQvI723ea/J1QAA0HIEmDh1/YgekqSX1pZqyx6PydUAANAyBJg4Nea8szRxcDf5/IbuX7RZPr9hdkkAAJw2Akwcm33lAKU47dqwu0Ivr/3S7HIAADhtBJg4lu5K1M/H95UkzX2vWOXeGpMrAgDg9BBg4tyNOb00NCtVVbUN+tU7n5ldDgAAp4UAE+dsVoseu2awbFaL3t20V8u3lZtdEgAA34oAAw3IdGnqxdmSpAff3KIjdQ0mVwQAwKkRYCBJmj72XHVPTdLXFUf122VfmF0OAACnRICBJCnZYdevrh4oSfrTv0q0da/X5IoAADg5AgyCLu+frgmDMprWhtkkP2vDAAAiFAEGIR66cqA6Ou36tLRCC9eVml0OAAAnRIBBiAx3on427jxJ0hPvbdM+1oYBAEQgAgy+4ebc3jq/h1uVNQ361WLWhgEARB4CDL4hsDaM1SIt3rhXHxTvM7skAABCEGBwQoO6u3Xb6Ka1Yd7arKN1PpMrAgDgGAIMTmrGd89TpjtRuw8d1TPLWRsGABA5CDA4qQ5Ou3559SBJ0h9X7VRxWaXJFQEA0IgAg1P67oB0jRuQrgbWhgEARBACDL7Vw1cNVAeHTYVfHtar63ebXQ4AAC0PMKtWrdKVV16pzMxMWSwWvfnmmyHHDcPQ7Nmz1a1bNyUlJWns2LH64ovQ/olDhw5pypQpcrlcSk1N1dSpU1VVVRUyZuPGjbrkkkuUmJiorKwszZ07t+XfDm0iMzVJ94zrK0l6fMlW7a+sNbkiAEC8a3GAqa6u1pAhQ/Tss8+e8PjcuXP1zDPPaP78+Vq7dq06dOigvLw81dQcWxBtypQp2rJli5YuXarFixdr1apVuuOOO4LHvV6vxo0bp169eqmwsFBPPvmkHn74YT3//POt+IpoC7de1FuDu7vlrWnQI++yNgwAwGTGGZBkLFq0KPjc7/cbGRkZxpNPPhncV1FRYTidTuOVV14xDMMwPvvsM0OSsX79+uCYJUuWGBaLxfj6668NwzCMefPmGZ06dTJqa2uDY2bOnGn07dv3tGvzeDyGJMPj8bT26+E4G3dXGNn3LTZ6zVxsrCzeZ3Y5AIAYdLp/v9u0B6akpERlZWUaO3ZscJ/b7VZOTo4KCgokSQUFBUpNTdXIkSODY8aOHSur1aq1a9cGx4wZM0YOhyM4Ji8vT8XFxTp8+PAJP7u2tlZerzdkQ9sa3MOtWy/qLUl64M3NqqlnbRgAgDnaNMCUlZVJktLT00P2p6enB4+VlZUpLS0t5Ljdblfnzp1DxpzoPZp/xvHmzJkjt9sd3LKyss78C+Eb7hnXVxmuRJUeOqLfL99udjkAgDgVM7OQZs2aJY/HE9x272a2TDh0dNr18FUDJUl/WLVDn5ezNgwAoP21aYDJyMiQJJWXl4fsLy8vDx7LyMjQvn2h99ZpaGjQoUOHQsac6D2af8bxnE6nXC5XyIbwyBuYrrH901XvM/QL1oYBAJigTQNMdna2MjIytGzZsuA+r9ertWvXKjc3V5KUm5uriooKFRYWBscsX75cfr9fOTk5wTGrVq1SfX19cMzSpUvVt29fderUqS1LRitYLBb98uqBSnbYtH7XYb3+MWe7AADtq8UBpqqqSkVFRSoqKpLU2LhbVFSk0tJSWSwWTZ8+XY888ojefvttbdq0SbfccosyMzM1adIkSVL//v01fvx43X777Vq3bp1Wr16tadOmafLkycrMzJQk3XjjjXI4HJo6daq2bNmi1157Tb/97W81Y8aMNvviODPdU5M047vnSZLmLNmmA1WsDQMAaEctnd60YsUKQ9I3tltvvdUwjMap1A8++KCRnp5uOJ1O4/LLLzeKi4tD3uPgwYPGDTfcYHTs2NFwuVzGbbfdZlRWVoaM2bBhg3HxxRcbTqfT6N69u/H444+3qE6mUYdffYPPmPD0KqPXzMXG9Fc/NbscAEAMON2/3xbDMGKygcHr9crtdsvj8dAPE0Ybdldo0rzVMgzppak5uvjcrmaXBACIYqf79ztmZiHBHEOyUnXLqF6SpAfe3MTaMACAdkGAwRm7J6+v0l1O7Tp4RPNWsDYMACD8CDA4Y67EBD18ZePaMM+t3KHt+1gbBgAQXgQYtInxgzL0b/3SVO8zdP+izYrR1ioAQIQgwKBNWCwW/fKqgUpKsGldySG9UfiV2SUBAGIYAQZtJqtzsu7+7rmSpMf+sVUHWRsGABAmBBi0qdtGZ6tfRooqjtTrsX9sM7scAECMIsCgTSXYrHrs2sGyWKS/ffKVPtpxwOySAAAxiACDNje8ZyfdlNO0NsyizawNAwBocwQYhMW94/vqrBSndh6o1nMf7DC7HABAjCHAICxciQl66MoBkqTnPtihHfurTK4IABBLCDAIm4mDu+nSvmepzufXLxZtYm0YAECbIcAgbCwWi3599SAlJli1Zuch/e2Tr80uCQAQIwgwCKuszsm66/LzJEmPvvuZDlXXmVwRACAWEGAQdj++JFt901N0+Ei95vxjq9nlAABiAAEGYRdYG0aS3ij8Smt2HjS5IgBAtCPAoF2M6NVJN+b0lCT9YtEm1TawNgwAoPUIMGg3M/P6qWtHp3bsr9YfVu40uxwAQBQjwKDduJMTNLtpbZjfr9iukgPVJlcEAIhWBBi0qyvP76ZLzu2quga/HniTtWEAAK1DgEG7slgsemTSIDntVq3eflBvFrE2DACg5QgwaHe9unTQTy8/V5L068VbdZi1YQAALUSAgSluv6SPzk3rqEPVdXp8yTazywEARBkCDEzhsB9bG+a1j3drXckhkysCAEQTAgxMc0HvzrrhwixJ0v2LNqmuwW9yRQCAaEGAgalmju+nLh0c2r6vSs+v2mF2OQCAKEGAgalSkx168IrGtWF+t3y7drE2DADgNBBgYLqrh2bq4nO6qrbBrwff2szaMACAb0WAgekCa8M47Fb964sDenvDHrNLAgBEOAIMIkLvrh30/y47R5L068WfyXOk3uSKAACRjACDiHHHd/ronLSOOlBVp8ffY20YAMDJEWAQMZx2mx6dNEiS9Mq6Un28i7VhAAAnRoBBRMnp00U/GNlDkvSLRZtV72NtGADANxFgEHFmTeivzh0cKi6v1B//tdPscgAAEYgAg4jTqYNDD0zsL0n67T+/UOnBIyZXBACINAQYRKRrhnXXRWd3UW2DXw+wNgwA4DgEGESk4NowNqtWfb5fizfuNbskAEAEIcAgYvU5q6Pym9aG+eU7n8lzlLVhAACNCDCIaHde2kd9zuqgA1W1msvaMACAJgQYRLTGtWEGS5IWritV4ZeHTa4IABAJCDCIeLlnd9H1I3rIMKRfLNrE2jAAAAIMosP93+uvTskJ2lZWqT9/WGJ2OQAAkxFgEBU6d3Do/u81rg3z9D8/1+5DrA0DAPGMAIOocf2IHsrJ7qyaer9mszYMAMQ1AgyihsVi0aPXDJbDZtWK4v36x6Yys0sCAJiEAIOock5aR9156dmSpF++s0XeGtaGAYB4RIBB1PnPS89WdtcO2ldZq/96v9jscgAAJiDAIOokJtj06KRBkqT/WfOlPi1lbRgAiDcEGESli87pqmuHdZdhSPcv2qwG1oYBgLhCgEHU+sXE/kpNTtDWvV49vmSb/H5mJQFAvCDAIGp16ejUgxMHSJL+9GGJ8hd+oiN1DSZXBQBoDwQYRLXrRvTQk9efrwSbRUs2l+n78wu013PU7LIAAGHW5gHm4YcflsViCdn69esXPF5TU6P8/Hx16dJFHTt21HXXXafy8vKQ9ygtLdXEiROVnJystLQ03XvvvWpo4P+scWLfH5mlV24fpS4dHNqyx6urfr+axl4AiHFhOQMzcOBA7d27N7h9+OGHwWN333233nnnHb3xxhtauXKl9uzZo2uvvTZ43OfzaeLEiaqrq9NHH32kF198UQsWLNDs2bPDUSpixMjenfVm/mj1y0jR/spa/fD5NXqr6GuzywIAhInFaOP12B9++GG9+eabKioq+sYxj8ejs846SwsXLtT1118vSdq2bZv69++vgoICjRo1SkuWLNEVV1yhPXv2KD09XZI0f/58zZw5U/v375fD4TitOrxer9xutzwej1wuV5t9P0S2qtoGTX/1U/1z6z5JUv5lZ+ue7/aV1WoxuTIAwOk43b/fYTkD88UXXygzM1N9+vTRlClTVFpaKkkqLCxUfX29xo4dGxzbr18/9ezZUwUFBZKkgoICDR48OBheJCkvL09er1dbtmw56WfW1tbK6/WGbIg/HZ12/eHmkbrzO42r9T67Yod+8nKhqmu5BAkAsaTNA0xOTo4WLFig9957T88995xKSkp0ySWXqLKyUmVlZXI4HEpNTQ15TXp6usrKGu9rU1ZWFhJeAscDx05mzpw5crvdwS0rK6ttvxiihs1q0X0T+uk33x8ih82q97eU6/r5Bfq6guZeAIgVbR5gJkyYoO9///s6//zzlZeXp3/84x+qqKjQ66+/3tYfFWLWrFnyeDzBbffu3WH9PES+60b00Ct35KhrR4e27vXq6t9/qMIvae4FgFgQ9mnUqampOu+887R9+3ZlZGSorq5OFRUVIWPKy8uVkZEhScrIyPjGrKTA88CYE3E6nXK5XCEbMKJXY3Nv/24uHaiq0w3Pr9HfP/nK7LIAAGco7AGmqqpKO3bsULdu3TRixAglJCRo2bJlwePFxcUqLS1Vbm6uJCk3N1ebNm3Svn37gmOWLl0ql8ulAQMGhLtcxKAenZL1v3fmatyAdNX5/Jrx+gZW7gWAKNfmAeZnP/uZVq5cqV27dumjjz7SNddcI5vNphtuuEFut1tTp07VjBkztGLFChUWFuq2225Tbm6uRo0aJUkaN26cBgwYoJtvvlkbNmzQ+++/rwceeED5+flyOp1tXS7iRAenXfNvGqH8yxqbe+ev3KE7/qdQVTT3AkBUavMA89VXX+mGG25Q37599YMf/EBdunTRmjVrdNZZZ0mS/vu//1tXXHGFrrvuOo0ZM0YZGRn6+9//Hny9zWbT4sWLZbPZlJubq5tuukm33HKLfvWrX7V1qYgzVqtF9+b109M/HCqH3ap/bi3X9c99pK8OHzG7NABAC7X5OjCRgnVgcCqflh7WHf9TqP2VterSwaE/3DxCI3t3NrssAIh7pq4DA0S6YT076a380RrQzaWD1XW64Y9r9MbHzFwDgGhBgEHcykxN0v/+JFfjB2ao3mfo3v/dqMf+sVU+mnsBIOIRYBDXkh12zZsyXD/9t3MkSc+v2qk7/vqxKmvqTa4MAHAqBBjEPavVohnj+uqZG4bJabdq2bZ9uu65j1R6kOZeAIhUBBigyVVDMvXaf+QqLcWpz8urNGneaq0rOWR2WQCAEyDAAM0MzUrV29Mu1uDubh2qrtOUP63R6+tp7gWASEOAAY6T4U7U6/+Rq4mDu6neZ+jnf9uoRxZ/RnMvAEQQAgxwAkkOm35/4zBNH3uuJOlPH5Zo6ovr5aW5FwAiAgEGOAmLxaLpY8/TszcOV2KCVR8U79e18z7SlwerzS4NAOIeAQb4FhPP76Y3/uMipbuc2r6vSlc/u1oFOw6aXRYAxDUCDHAaBvdw6+1pF2tID7cqjtTr5j+v1SvrSs0uCwDiFgEGOE3prkS99h+5unJIphr8hmb9fZMefnuLGnx+s0sDgLhDgAFaIDHBpmcmD9WM754nSVrw0S79+4sfy3OU5l4AaE8EGKCFLBaLfnr5uXpuynAlJdi06vP9unbeau06QHMvALQXAgzQShMGd9Mbd+aqmztRO/ZX6+pnV+uj7QfMLgsA4gIBBjgDg7q79Vb+aA3NSpXnaL1u+cs6vbTmS7PLAoCYR4ABzlCaK1Gv3jFKk4Y2Nvc+8OZmPfTWZpp7ASCMCDBAG0hMsOm/fzhU9+b1lSS9WPClfvTCenmO0NwLAOFAgAHaiMViUf5l5+gPN49QssOmD7cf0DXzVmvn/iqzSwOAmEOAAdpY3sAM/e+dFynTnaidB6o16dnV+vALmnsBoC0RYIAwGJDp0lvTLtbwnqny1jTo1hfW6a8Fu8wuCwBiBgEGCJOzUpxaePsoXTusu3x+Q7Pf2qIH3tykepp7AeCMEWCAMEpMsOk3PxiimeP7yWKRXlpTqh+9sE4VR+rMLg0AohoBBggzi8Win1x6tp6/eaSSHTat3n5Qk55dre37aO4FgNYiwADt5LsD0vW3n1yk7qlJ2nXwiK6Zt1qrPt9vdlkAEJUIMEA76t/NpbemjdbIXp1UWdOgH72wTi+sLpFhGGaXBgBRhQADtLOuHZ16+fYcXT+ih/yG9Mt3PtP9izbT3AsALWA3uwAgHjntNj15/fnqm56ix5Zs1SvrSlVyoEr/79/OVZLDpqSEps1hCz5PsPH/GwAQYDFi9Ny11+uV2+2Wx+ORy+UyuxzgpJZvK9dPXylSVW3DKcfZrRYlJdiU6LApuSnUJDYPOsf9DBwLjj0+GDX/2fQ4wWaRxWJpp28OAN90un+/CTBABPi8vFKPvrtVZZ4aHa336UidTzX1Ph2pa5C/Hf8NtQVCUoJNSQ5rU7CxKynBGhKMkpsFn0AwSnaEBqrGMXYlNz1OdNiUnGCTnTNJAE6BAEOAQQwwDEP1PkNH6306WucL+VnTFHSO1vtUEzjWLPwcbbbvaF3o64Lj6nw6Uu+Trx1TksNmPRZwmoWfJIddyQnH9gdDksMesi85GKLswTGN++1KTLByBgmIcqf795seGCCCWSwWOewWOexWuZMSwvY59T7/N4JOIBgdaf68aUwwJJ0gWB07e9T02roGHan3KfC/SnU+v+qO+uU5Gp47dScdH4KaziAlO+yN+xKa77d9IxwlNQtGiQk2Oe3Wxp8JVjntVjlshCQgEhBgACjBZlWCzSpXYnhCkmEYqm3wN4af+qZQ0xSWjjQLRcH9zfY1Pj82PhCSGo837q9tODaDKxC2VB2WryKLRXLarXLam4Ubu7Up4NiUmHCCY3arnAk2JTb9dDb/aT/udQlWJdqPBabmx+hRAo4hwAAIO4vFosSmMxqdwvD+fr8RGmyaAk/gDFLz0PTNIHQsNIUea1BNvV+1DT7V1B8LSIYh1dT7Q/a1F4tFJw03pwxTTT1MIc3fJ2j8Pr7Jm34lRDICDICoZ7Va1MFpVwdneP6TZhiG6nx+1Tb4VVvvV01941mfQLipbfAFj9U2+II/Q441NL2u2b5j7xP6nqGfERqegmeY2kGCzRIymy3xJEEn6bhgFNLQfdxyAMc3g7M8AFqLAAMA38JisTSd5bBJie372YHLb83DzbFw5Fdt8+DTPAg1haCapteE9Cs1PQ5pBK8/dkkv0K9U7zNU72tQZc2pp/ifiebLA5xoNlvzn8kOm1IS7UpJTFBHpz34uPHnsf0OO6EoHhBgACCCNb/8JoWvkTsgEJhO1qTd8llwfh2ta2h6rf8bywM0+A1V1jao8lvWQWoJp916XLCxNwWexoDjCoSd44JP8/0dHDb6jSIcAQYAENQ8MKWG6TMCl+Rq6vyhU/3rG3S02b6apkbto01nkKprG1RV06DK2npV1jQ0bfWqqm18fKSu8dJabYNftVW1OlBV2+oarRYFQ8/xISgl0a6OiXa5jjsTFHjsahaOuEQWPgQYAEC7an5Jzt2GZ5UafH5V1/rkrWkMOI3BpinsND2uOi74eJueVzULRT6/Ib8heWsaj5+JxASrOjoTms7u2JvO7tiVYLcqwWppnAHYND3fbrU07rdZ5bBZZLcde5xgszY9t8jRtN8eeNz0Gru1ccmFhKZxgdmFzR/brLFzVokAAwCICXabVe5kq9zJrQ9FhmGopt6vypp6eY8LQVU1DfI2O+PT/OyPt6ZBVTXHQlCg0bpxxtqZnQ1qS1aLmkJRYwAKBBuHvSlABQOVRXbrsccnC1DXDuuhwT3cpnwXAgwAAE0sFktw1lTaGSzi3uDzNws6zUJQbYOq6xrU4DNU7/OrzudXfYOhBv+xx/U+f+PzpseNW/PHxz8/7nGDX/X+xsfHr7LtN/SN2W1nYljPTgQYAABihd1mVWqyQ6nJDlPr8PkDgagp2Pj8qm/2uM7nDw1TPkMNvsCxxnGN4erYaxr8huqaHp+b1tG070aAAQAgRtmsFtmstsYnTnNraWu0RwMAgKhDgAEAAFGHAAMAAKIOAQYAAEQdAgwAAIg6BBgAABB1CDAAACDqEGAAAEDUiegA8+yzz6p3795KTExUTk6O1q1bZ3ZJAAAgAkRsgHnttdc0Y8YMPfTQQ/rkk080ZMgQ5eXlad++fWaXBgAATBaxAeapp57S7bffrttuu00DBgzQ/PnzlZycrL/85S9mlwYAAEwWkQGmrq5OhYWFGjt2bHCf1WrV2LFjVVBQcMLX1NbWyuv1hmwAACA2RWSAOXDggHw+n9LT00P2p6enq6ys7ISvmTNnjtxud3DLyspqj1IBAIAJYuZu1LNmzdKMGTOCzz0ej3r27MmZGAAAokjg77ZhGKccF5EBpmvXrrLZbCovLw/ZX15eroyMjBO+xul0yuk8dq/wwD8AzsQAABB9Kisr5Xa7T3o8IgOMw+HQiBEjtGzZMk2aNEmS5Pf7tWzZMk2bNu203iMzM1O7d+9WSkqKLBZLGKuNTl6vV1lZWdq9e7dcLpfZ5UD8TiINv4/Iwu8jsoTz92EYhiorK5WZmXnKcREZYCRpxowZuvXWWzVy5EhdeOGFevrpp1VdXa3bbrvttF5vtVrVo0ePMFcZ/VwuF/8xiDD8TiILv4/Iwu8jsoTr93GqMy8BERtgfvjDH2r//v2aPXu2ysrKNHToUL333nvfaOwFAADxJ2IDjCRNmzbttC8ZAQCA+BGR06gRfk6nUw899FBI4zPMxe8ksvD7iCz8PiJLJPw+LMa3zVMCAACIMJyBAQAAUYcAAwAAog4BBgAARB0CDAAAiDoEmDgzZ84cXXDBBUpJSVFaWpomTZqk4uJis8tCk8cff1wWi0XTp083u5S49fXXX+umm25Sly5dlJSUpMGDB+vjjz82u6y45fP59OCDDyo7O1tJSUk6++yz9etf//pb75ODtrFq1SpdeeWVyszMlMVi0Ztvvhly3DAMzZ49W926dVNSUpLGjh2rL774ol1qI8DEmZUrVyo/P19r1qzR0qVLVV9fr3Hjxqm6utrs0uLe+vXr9Yc//EHnn3++2aXErcOHD2v06NFKSEjQkiVL9Nlnn+k3v/mNOnXqZHZpceuJJ57Qc889p9///vfaunWrnnjiCc2dO1e/+93vzC4tLlRXV2vIkCF69tlnT3h87ty5euaZZzR//nytXbtWHTp0UF5enmpqasJeG9Oo49z+/fuVlpamlStXasyYMWaXE7eqqqo0fPhwzZs3T4888oiGDh2qp59+2uyy4s59992n1atX61//+pfZpaDJFVdcofT0dP35z38O7rvuuuuUlJSkl156ycTK4o/FYtGiRYuC9yg0DEOZmZm655579LOf/UyS5PF4lJ6ergULFmjy5MlhrYczMHHO4/FIkjp37mxyJfEtPz9fEydO1NixY80uJa69/fbbGjlypL7//e8rLS1Nw4YN0x//+Eezy4prF110kZYtW6bPP/9ckrRhwwZ9+OGHmjBhgsmVoaSkRGVlZSH/3XK73crJyVFBQUHYPz+ibyWA8PL7/Zo+fbpGjx6tQYMGmV1O3Hr11Vf1ySefaP369WaXEvd27typ5557TjNmzND999+v9evX66c//akcDoduvfVWs8uLS/fdd5+8Xq/69esnm80mn8+nRx99VFOmTDG7tLhXVlYmSd+4R2F6enrwWDgRYOJYfn6+Nm/erA8//NDsUuLW7t27ddddd2np0qVKTEw0u5y45/f7NXLkSD322GOSpGHDhmnz5s2aP38+AcYkr7/+ul5++WUtXLhQAwcOVFFRkaZPn67MzEx+J3GOS0hxatq0aVq8eLFWrFihHj16mF1O3CosLNS+ffs0fPhw2e122e12rVy5Us8884zsdrt8Pp/ZJcaVbt26acCAASH7+vfvr9LSUpMqwr333qv77rtPkydP1uDBg3XzzTfr7rvv1pw5c8wuLe5lZGRIksrLy0P2l5eXB4+FEwEmzhiGoWnTpmnRokVavny5srOzzS4prl1++eXatGmTioqKgtvIkSM1ZcoUFRUVyWazmV1iXBk9evQ3lhX4/PPP1atXL5MqwpEjR2S1hv6pstls8vv9JlWEgOzsbGVkZGjZsmXBfV6vV2vXrlVubm7YP59LSHEmPz9fCxcu1FtvvaWUlJTgdUq3262kpCSTq4s/KSkp3+g/6tChg7p06UJfkgnuvvtuXXTRRXrsscf0gx/8QOvWrdPzzz+v559/3uzS4taVV16pRx99VD179tTAgQP16aef6qmnntK///u/m11aXKiqqtL27duDz0tKSlRUVKTOnTurZ8+emj59uh555BGde+65ys7O1oMPPqjMzMzgTKWwMhBXJJ1we+GFF8wuDU2+853vGHfddZfZZcStd955xxg0aJDhdDqNfv36Gc8//7zZJcU1r9dr3HXXXUbPnj2NxMREo0+fPsYvfvELo7a21uzS4sKKFStO+Dfj1ltvNQzDMPx+v/Hggw8a6enphtPpNC6//HKjuLi4XWpjHRgAABB16IEBAABRhwADAACiDgEGAABEHQIMAACIOgQYAAAQdQgwAAAg6hBgAABA1CHAAACAqEOAAQAAUYcAAwAAog4BBgAARB0CDAAAiDr/H8hvsvXQch6dAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "k = np.arange(1, 11)\n", + "phi = np.zeros_like(k)\n", + "for ix, k_ in enumerate(k):\n", + " km = MyKMeans(k=k_)\n", + " km.fit(X)\n", + " phi[ix] = potential(X, km.centroids)\n", + "\n", + "plt.plot(k, phi)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": { + "id": "dLY133atyIrC" + }, + "source": [ + 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+ ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": { + "id": "pFFlYfdIyLk7" + }, + "source": [ + "## Runtime Complexity\n", + "\n", + "Note that solving the k-Means clustering problem - i.e. finding $k$ centroids that minimize the sum of squared distance to all data points - is NP-hard (see https://cseweb.ucsd.edu/~avattani/papers/kmeans_hardness.pdf).\n", + "\n", + "We will now analyze the runtime of the k-Means algorithm for the simplest variant, where we select $k$ random points as initial centroids.\n", + "\n", + "Assume we are given $m$ data points with $n$ features. Assume further that k-Means stops after $L$ iterations. Then the **runtime** of k-Means is $O(Lknm)$.\n", + "\n", + "* In the first step, we randomly select $k$ initial centroids with $n$ dimensions each: this step will run in $O(kn)$.\n", + "* In each of the $L$ iterations, we compute the distance between each data point and each centroid. The euclidean distance computation takes $O(n)$. There are $m$ data points and $k$ centroids, thus we need total time $O(knm)$ per iteration.\n", + "* There are $L$ iterations, each taking $O(knm)$, leading to a total runtime of $O(Lknm)$." + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": { + "id": "s2FN4Dms01mO" + }, + "source": [ + "## Trivia: Who invented the k-Means algorithm? [Not Part of Exam]\n", + "\n", + "The term \"k-Means\" was probably first used by James MacQueen in a working paper from 1965, and in his [publication](https://www.cs.cmu.edu/~bhiksha/courses/mlsp.fall2010/class14/macqueen.pdf) from 1967. This publication has more than 35'000 citations. The method itself has, however, been known before. A variant was described in a paper draft by Stuart Lloyd circulated at the Bell Laboratories already in 1957. Due to some incompleted numerical calculations, this paper was only published in 1982. For a more detailed discussion of the origins of k-Means, see [\"A history of the k-Means algorithm\"](http://www.modulad.fr/dac/Slides/Bock/Ahistoryofthek-means.pdf) by Hans-Hermann Bock." + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": { + "id": "d6aLG62n1gVd" + }, + "source": [ + "## Trivia: What is the difference between k-Means and k-NN?\n", + "\n", + "k-Means is sometimes confused with k-NN, which stands for [k-Nearest Neighbors](https://en.wikipedia.org/wiki/K-nearest_neighbors_algorithm). Note that these are totally different algorithms: While k-means is used for clustering unlabeled data, k-NN is a supervised learning algorithm used for classification." + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": { + "id": "e0Lkiuxa2D7k" + }, + "source": [ + "## DBSCAN\n", + "\n", + "Another clustering algorithm that works very different from k-Means Clustering is DBSCAN (short for \"Density-based Spatial Clustering of Applications with Noise\")\n", + "\n", + "DBSCAN is explained in the following video: https://www.youtube.com/watch?v=_A9Tq6mGtLI \n", + "\n", + "In the following, we briefly summarize now how DBSCAN works. \n", + "\n", + "DBSCAN has two parameters: \n", + "\n", + "* *minPts*: The minimum number of points (a threshold) clustered together for a region to be considered dense\n", + "* $\\epsilon$: A distance measure to define the neighborhood of any point. Point x is reachable from point y if distance(x,y) < $\\epsilon$\n", + "\n", + "Using these parameters, we can split up the input datapoints into three types of points:\n", + " \n", + "\n", + "* Core point: has at least minPts points within distance ε from itself (e.g. point A)\n", + "* Border point (B,C): has at least one core point within distance ε (e.g. point B, C)\n", + "* Noise point: a point that is neither a core nor a border point (e.g. point N)\n", + "\n" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": { + "id": "AkY-cLsl6KQ2" + }, + "source": [ + 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)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": { + "id": "uDm0S3JU6SAS" + }, + "source": [ + "DBSCAN Algorithm\n", + "\n", + "\n", + "\n", + "1. Select an unprocessed point P\n", + "2. If P is not a Core Point (i.e. there are less than *minPts* points within range $\\epsilon$), then classify P as noise and go back to Step 1 \n", + "3. Otherwise, if P is a core point, a new cluster is formed as follows: \n", + "* Assign all neighbors of P (i.e. all points within distance $\\epsilon$ from P) to the new cluster\n", + "* Repeat previous step for all newly-assigned neighbors\n", + "4. Go back to Step 1\n", + "5. Continue algorithm until all data points have been processed\n" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": { + "id": "9sP5WVTj_AIB" + }, + "source": [ + "The naive implementation of this algorithm has running time $O(m^2)$ for m samples. However, this can be reduced to $O(m log m)$ with a data structure that allows to retrieve all neighbors of a point x in time O(log m). Note that this only works if we assume that there are on average at most log m neighbors for each point." + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": { + "id": "q_pJmF-D71qn" + }, + "source": [ + "## Further Reading [Not part of Exam]\n", + "\n", + "\n", + "* In-depth description and implementation of DBSCAN: https://www.analyticsvidhya.com/blog/2020/09/how-dbscan-clustering-works/\n", + "* Original Paper on DBSCAN: Ester et al, 1996: \"A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise\". https://www.aaai.org/Papers/KDD/1996/KDD96-037.pdf \n", + "\n" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": { + "id": "HZFYAPRs14VX" + }, + "source": [ + "## Moodle Quiz\n", + "\n", + "**Next Step: Please answer the quizzes on Moodle now.**" + ] + } + ], + "metadata": { + "colab": { + "private_outputs": true, + "provenance": [] + }, + "kernelspec": { + "display_name": "Python 3", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.3" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +}