diff --git a/examples/uastl.ipynb b/examples/uastl.ipynb new file mode 100644 index 0000000..b181116 --- /dev/null +++ b/examples/uastl.ipynb @@ -0,0 +1,238 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "initial_id", + "metadata": { + "ExecuteTime": { + "end_time": "2024-09-13T12:16:59.934850Z", + "start_time": "2024-09-13T12:16:55.820074Z" + } + }, + "outputs": [], + "source": [ + "import uadapy.data as data\n", + "from uadapy.temporal.uastl import uastl\n", + "from uadapy.plotting.plotsTimeSeries import plot_timeseries, plot_correlated_timeseries, plot_correlation_matrix, plot_corr_length, plot_correlated_corr_length" + ] + }, + { + "cell_type": "markdown", + "id": "7d50ba4e72fe8896", + "metadata": { + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } + }, + "source": [ + "# Loading data\n", + "We provide ready-to-use toy datasets for quick experimentation and analysis. In this example, we generate synthetic time series data by fitting a multivariate normal distribution to a combination of trend, periodicity, and noise." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "399ccab20e87f833", + "metadata": { + "ExecuteTime": { + "end_time": "2024-09-13T12:17:08.046281Z", + "start_time": "2024-09-13T12:17:08.025902Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } + }, + "outputs": [], + "source": [ + "timeseries = data.generate_synthetic_timeseries(timesteps=200) " + ] + }, + { + "cell_type": "markdown", + "id": "c303f180", + "metadata": {}, + "source": [ + "# Visualizing data" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "ac267d8d", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, axs = plot_timeseries(timeseries, n_samples=3, seed=55, show_plot=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "1b71be65", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, axs = plot_corr_length(timeseries, show_plot=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "80109109", + "metadata": {}, + "outputs": [], + "source": [ + "corr_timeseries = uastl(timeseries, [100])" + ] + }, + { + "cell_type": "markdown", + "id": "b90713040349a03b", + "metadata": { + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } + }, + "source": [ + "# Visualizing data" + ] + }, + { + "cell_type": "markdown", + "id": "dba899f2", + "metadata": {}, + "source": [ + "# Applying UASTL\n", + "Uncertainty Aware Seasonal Trend Decomposition with LOESS can be applied directly to decompose time series data into trend, seasonality, and residuals while quantifying uncertainty in each component." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "36652dfe9d1204d4", + "metadata": { + "ExecuteTime": { + "end_time": "2024-09-13T12:17:15.337867Z", + "start_time": "2024-09-13T12:17:14.762668Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, axs = plot_correlated_timeseries(corr_timeseries, n_samples=3, co_point=100, show_plot=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "6ab6c5bb39bfd94c", + "metadata": { + "ExecuteTime": { + "end_time": "2024-09-13T12:17:21.158855Z", + "start_time": "2024-09-13T12:17:21.155717Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } + }, + "outputs": [ + { + "data": { + "image/png": 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ECRgSiIiIiIgoAUMCERERERElYEggIiIiIqIEDAlERERERJSAIYGIiIiIiBIwJBARERERUQKGBCIiIiIiSsCQQERERERECRgSiIiIiIgoAUMCERERERElYEggIiIiIqIEDAlERERERJSAIYGIiIiIiBIwJBARERERUQKGBCIiIiIiSsCQQERERERECRgSiIiIiIgoAUMCERERERElYEggIiIiIqIEDAlERERERJSAIYGIiIiIiBIwJBARERERUQKGBCIiIiIiSsCQQERERERECRgSiIiIiIgoAUMCERERERElYEggIiIiIqIEDAlERERERJSAIYGIiIiIiBIwJBARERERUQKGBCIiIiIiSsCQQERERERECRgSiIiIiIgoAUMCERERERElYEggIiIiIqIEDAlERERERJSAIYGIiIiIiBIwJBARERERUQKGBCIiIiIiSsCQQERERERECRgSiIiIiIgoAUMCERERERElYEggIiIiIqIEDAlERERERHn60Y9+hPb2djgcDixduhTvvPNO1v1/8IMfYPbs2aiurkZrayvuvPNOBAKBtPt+5zvfgclkwh133JHyty1btuCSSy6B0+mE2+3GBRdcgLGxMTmeUloMCUREREREeXj22Wexbt063H///di+fTsWLFiA1atXo7e3N+3+GzduxNe+9jXcf//92LNnD9avX49nn30WX//611P23bp1K5588kl84AMfSPnbli1bcOmll2LVqlV45513sHXrVtx2220wm5WrypsEQRAUu3ciIiIiIgBDQ0PweDz4lWUmakwWtYuDUSGCayMHcPjwYbjdbul6u90Ou92e9jZLly7FkiVL8MQTTwAAotEoWltbcfvtt+NrX/tayv633XYb9uzZg02bNknX3XXXXXj77bfxl7/8RbpueHgYZ511Fn784x/jW9/6FhYuXIgf/OAH0t+XLVuGD33oQ3jooYdKfdp5qyrbIxERERFRxWu5uBm1VvWroMPhceCVA2htbU24/v7778cDDzyQsn8oFMK2bdtwzz33SNeZzWasXLkSW7ZsSfsY5557Lv7v//2/eOedd3DOOefg/fffxx/+8AfceOONCfutXbsWa9aswcqVK/Gtb30r4W+9vb14++23ccMNN+Dcc8/FgQMHMGfOHDz88MP44Ac/WOSzz039d4iIiIiISCXpWhLSOX78OCKRCLxeb8L1Xq8Xe/fuTXub66+/HsePH8cHP/hBCIKA8fFxfOELX0jobvTMM89g+/bt2Lp1a9r7eP/99wEADzzwAL73ve9h4cKF+Pd//3esWLEC7777Lk477bSCnm++OCaBiIiIiCqW2+1O2DKFhGK89tpr+Pa3v40f//jH2L59O55//nn8/ve/l7oNHT58GF/60pfwy1/+Eg6HI+19RKNRAMDnP/953HLLLVi0aBEee+wxzJ49Gz//+c9lK2sytiQQEREREeUwefJkWCwW9PT0JFzf09OD5ubmtLf5xje+gRtvvBGf+cxnAABnnnkmRkZG8LnPfQ7/8i//gm3btqG3txdnnXWWdJtIJII33ngDTzzxBILBIKZMmQIAmDdvXsJ9z507F52dnXI+xQRsSSAiIiIiysFms2Hx4sUJg5Cj0Sg2bdqE5cuXp73N6OhoygxEFkts0LYgCFixYgV27tyJHTt2SNvZZ5+NG264ATt27IDFYkF7ezumTp2Kffv2JdzPP//5T/h8Ppmf5QS2JBARERER5WHdunW4+eabcfbZZ+Occ87BD37wA4yMjOCWW24BANx0001oaWnBI488AgC44oor8P3vfx+LFi3C0qVLsX//fnzjG9/AFVdcAYvFApfLhTPOOCPhMZxOJxoaGqTrTSYTvvKVr+D+++/HggULsHDhQmzYsAF79+7Ff/7nfyr2XBkSiIiIiIjy8PGPfxx9fX2477770N3djYULF+LFF1+UBjN3dnYmtBzce++9MJlMuPfee9HV1YXGxkZcccUVePjhhwt63DvuuAOBQAB33nkn+vv7sWDBArz88suYOXOmrM8vHtdJICIiIiLFieskvLnyPM1MgXreK29icHAwYXYjiuGYBCIiIiIiSsCQQERERERECRgSiIiIiIgoAUMCERERERElUC0k/OhHP0J7ezscDgeWLl2Kd955R62iEBERERFRHFVCwrPPPot169bh/vvvx/bt27FgwQKsXr0avb29ahSHiIiIiIjiqDIF6tKlS7FkyRI88cQTAGKr1bW2tuL222/H1772tZT9g8EggsGgdDkajaK/vx8NDQ0wmUxlKzcRERGRHgiCAL/fj6lTp6as+KsWToGqL2V/h0KhELZt24Z77rlHus5sNmPlypXYsmVL2ts88sgj+OY3v1muIhIREREZwuHDhzFt2jS1i0E6VPaQcPz4cUQiEWllOpHX68XevXvT3uaee+7BunXrpMuDg4Noa2vDL0zTUWOaSMfTLvFi8twW1M5ohaV1OoJNbQCAk65WBZ4JGYHd4cDUqS3S5eDWFxEdyK/bm3h86Qk/C8pIPo4O/MuXMbZ3l3RZPC8BSHtu6g01la2sTTZ269SydOek8M63AUwcOyddrRmPGb6/JBoeHsYHz78ALpdL7aKQTqnf1pMHu90Ou92ecn2NyYwak0W63P/qcdRaq+CyW+GstsPtrEbQ2w630I9+t6+cRSadsDscCU2MQWcNouHq/G480lfw4wW97QXfRk5uoR8A+HmQWfJx5LLbYIlrSnfZrUBXN1yzfLA4q4GRvoRzkwtj6A5609217EaQ2KTebO8py+NSfpKPJX/rDFTv3wH//g7pe81d64SrwSUdM12DTrR4RgBMvL98X0nEbtlUrLJ3Ups8eTIsFgt6ehJPYD09PWhubi7ovqZdkvql2vlSN/p2HYF/fwciHQdg7zkEAKgf6ii6zGRsQjQibYCyQ3TsPYcSNrXw8yA/QRAQDYcQDYeQ7TiKdBwAgJRzk1qVuu6gt2wBhfIjCALGI7FtyDnxvRj/vVY/1CEdMy2eEXQNOtE16JT25XtKRKUqe0uCzWbD4sWLsWnTJlx55ZUAYgORN23ahNtuu62g+5o8twW11ip0vtSdcH38ZRcAO2K/4NYPdfAXVEoQDAQQeOlp1R5frCiq0cIgVk75mShdMBDAwfcPoPqn9wMAnCZgNM1+/v0dcM3yIdJxABbfTNh7DiWcm5rtPapV7sTH5S/Q6hKPpa8+Yca06Y04b8lUXO6bCeyPfV79+zuk77V6AHAnBgIxKLR4RtAd9PL9JKKiqdLdaN26dbj55ptx9tln45xzzsEPfvADjIyM4JZbbinofmpntMaa8QEGBSqa+MtuPiy+mYqUQawsxl9OplSQ4GdCPq5ZsdfRv78DjfOzDxTUYlAAwIqlhhw52IfDbU4cO/NCNHUcgH9/B/p2HYn9cX8H6lZcIgUFeLwJLQliFyS+n0RULFVCwsc//nH09fXhvvvuQ3d3NxYuXIgXX3wxZTBzLpbW6XBWT4xVYFAgpWUKFHKEh+SgkO7vgDJhgZ8JeVh8MxHpOJAQFpKJrQkAgwJlNm16I44c7ENn5wi6T/ei/pwVcGETAKBv1xE0zp8W63qEiRaFLsxIuA8GBSIqhWoDl2+77baCuxclCza1we2sRvy4fQYFUkN8eFCqtUGUK0wUi5+J0gW97RB/thDDQqagACBr1yO1sWKprra2xFaB5iYfpvhmSt936VoUWuJaEw73AK1eBgUiKp4uZjfKRvxSZlAgrRADQzFhId8AwKCgTf1uX+xXXcTOM9mCApA4RkG8jXhuSu5rrgZWLNXT6gUAJzo7R3C4BwBmYPFpwBQgISjEtyjM8wLwnMOgQESy0HVIOOlqhVvoZ1CgopnNZljaZkuXIz2dQHBMxRKlH4+QaT8GBW0wm81wOBwAgEDNXFT3vSedl/IJCsBEq0JyUADUDQusWJaXeCyd0RLAlDoHjvcAnZ0jaPU60R30oj7N9138YObm03yAxwvAicM9DApEVDxdhwTg1C93Qx0MClQUq82G6stuli6P/vZJRLv1Mz0og4I2WG02NE+ZKl3uikbh7N2Xd1AAElsVks9NHKNQOcRjSZz49EifE0f7cao1wQl4zkHzaT6pRcGfNOvRFAA47UIGBSIqWdnXSVCCWJkJetth8c2Ea5YPjfOnoW1V6roLXEeBjEap9Rb4mShef6i+qJAlVvjSnZvUrtSp3fWpUjXVT/z/cE+sot8d9OLYaRdK33ci8Xttynuvo9negxbPyKluSxPErkh8P4koF923JIjYokBaoPSg5UzYoqBN4hiFTK0J0uBTQJoylS0KFK/RGUCr13GqJSG+RcELnHZhxhaFem+7NDUq4Ey4z/gVmomIMjFMSAAYFKhwoWAQo796XLoc9ffnfVu1AkEmDArqCQWDOHy4E7tPxCr6HnsEfiGxQi1Ojxqvcf40KSiI/zbOn8agUMHEY6mx428AgNqpC9DiaYLYdQhIDQr13na4sCkpKGxC/Tkr0q6hIOJ7SUTZGCokAAwKVBhBEGBy16Zd/0BrISAfSgUFyk4QBIRDIew6FOv7PTQ28Uut1JpwqvtQrrEJ4ow1Wg4KpBzxWBrf9TdYfDMxafAQjtmbAMSOrbRBwQ1petR8gwLHJxBRLoYYk5CMYxSoUBbfzJRNr5QYo1A/1MHPRBGSK/LicRXfjzzdysxiq4JWxygwoJSH+L6L4wuS5TNGoeqdTagf6kh7HxyfQETZGDIkAAwKVNk4mFl98b/a9rt9UgsPgwIVKv5zlzwQmUGBiJRi2JAAMChQZWNQ0Ib4yheDAhUrvoJfbFCIn/UoHoMCEaVj6JAAMChQHuzVE5vJWB8JBoXysVgsOG0a4LACJlPq3+PPRQCDAmVmsVhgOf0MmGpcKeekUoJC8vSo8RgUiCiZsWpEGTAoUCZ2hwPVF18vbWZPo9pFkh2DgvLsDgd87dNxxdlmXHG2GfW1seuTK17ZgoJYoWNQqGzisVR98fVw3niPdE4SuwsBDApEVB4VERIABgWqbAwK6ssVFAAwKFBOuYICwKBARPKomJAAMChQZWNQUEf8AOZ0QUE8HyV3P2JQoEzSBQUxLIhTpDIoEFGpKiokAAwKlGg8HEZo5xvSFh0dVLtIimJQUMZ4OIze3h681zWGd/ZHMRxI/HumoJBrnAKDQuURj6XRjt0Y7diNgNOTdr/koAAkhgWAQYGISlNxIQFgUKAJkUgEka73pA2hQO4b6RyDgvwikQiG/X70DY5jPDSCYDh1n+SgkM84BUCfQYGKJx5L3eM2hPqPQRgPSX9L/ozFB4V06ygADApEVLyKDAkAgwJVNgYFZWWrsGVrVYjvfgToNyiwUikP8XsqXrqgkCssxAeF8XNWpA0KXEeBiJJVbEgAGBSosjEoqCefVoV8g4J4XgIYFIwon6AAJL7P2YJCv9uXNihwwTUiSlbRIQFgUKDKxqCgnEytCaJsrQpA/kEBAIOCwcWPXxHVD3Vk7H4EMCgQUekqPiQADApU2RgU1JWuVSG++xGDQmWKb2HKJjks5Op+xKBARPliSDiFQaEy2e12OC66TtpMnslqF0kVDAqlsdvtaPO1Y/FpTiw+zYlaR2Gn1kytCgBbFCpN8rFkt9ulv6XreiQqpFWBQYGI8lGldgG0pN/tQ/1QB4LedtgBuOL+1vlSd8K+8ZddAOyIfZnXD3VkPZGTxphMMDmccRctENLsFuk4UPJDxS+apUX2nkPSDDtyqojPhMmEqqoq6YRqMpmKupuuQadUKesOegF37Pp6xM4xkY4DcM3ywb+/A43zp0mDl+PFX5fu3NRs71Glgtcd9HLGpXwkHUv94QY4cVT6s/g9lU7yZ018vbuDXrR4RhKCaNegE/DEjrH6c1bAhU1SwPTv74ALm1B/zorYMejxpty2xTPC95TI4NiSkIQtChQv0nFAloAg930phS0KxekP1ct2X3K1KADIeG5ii4K+FRq6062pALBFgYiyY0hIg0GhckTGxzHesVvahOCo8o+p8bDAoJAfsc94d9CL0HgUx/pD0hYaj5Z038lBodjBzIA2gwIrlplFxscxODiQ81jKFBQK/ZwxKBBRJuxulAG7HlWG8fFxhN/bkvHvFt9MTVfolcKuR9klV4qCYQEHu4OyPka6rkfx56R8ux41zp92qvuIdroeAex+lMn4+DhOHD+e+L7Y0+8rfpbig0Gmz5f0Wnti98uuR0SUC1sSsmCLAgGxoKDEeAKthw+lWhT0rNy/ghu5RQHgL9DZiLMU5fP+iLNh5RPA2fWIiPLFkJADgwKJxLCg9QHIclIiKOj181BMBSjXWgn5YFAguWV6vxkUiCgeQ0IeGBQomVyBQeutCQCDAqB+xYdBgeQmVvTZokBEmTAk5IlBgTIpNTAwKGibVio8hQSFTBgUKB67HhFRNhy4XAAOZjYeq9UK21krpcvhfX+DMDJQ9P3FB4VCKv+RjgOa78akxGBmo3weqm1m+LwTo0s7eoIYC5U2w1E6+Q5mBpB2ILN4ffJgZiC2FgMHM6vParWivmFiUcf+E8cRDocVezzx/eY6CkSUjC0JBWKLgrGYLRZYmnzSZrJmmEakCIW2Lmh9alQgFhTkblXQ8uch38pylcWEeleVtFVZiltMTZRtLEO+LQqZuh0BqS0KQOy9ZYuC+swWC5xOp7SZLRbFH5MtCkSUDkNCERgUqBCFthDoISyQcsTKlhpBAWDXo0rFoEBEyRgSisSgYAxCNIroQK+0CRFlmvWL6Uqk5bBQCa0JhVRsIlEB/tGItEWigixlSDewVKREUBBbihgU1CNEowgEAtImROXvtpYJgwIRxeOYhBJwjIL+hUIhBP/6strFyCo+KGhp3IIYFOQap6Dnz8JoMIqdh0pfrTtTIEjuL56OXGMULL6ZsaAAjlFQQygUwtGu9O9VOXCMApVD49wWuOxWtYuB6mAYeAVYsmQJLBYL1q5di7Vr16pdLM1gSCgRgwLlS47Vm9PdXkvBoVSV/FnItaZCuqAQP5AZYFAgeTAoUKXZunUr3G632sXQHHY3kgG7HpGaxG5JanVN4srM5ZMuSCQHBw5mJjmw6xERMSTIhEGB8qH0r/5qhQU5gwI/B9kxKFC5MCgQVTaGBBkxKJBWqBEWGBTSy9WNKN99cu3PoEBKYFAgqlwMCTJjUNAXS1UVqmYulDaTI/vgUFkes4xjCModFio1KNiqTJg22SZttqrS1knIR7qZjyohKBidpaoKdZMmSZulSv2hgwwKRJWJIUEBDAr6UVVVBetpi6XN5KhVu0iK0GtQ0Au71Yy2Jru02a3lO7VWWlAweqWyqqoK9fUN0lalgZAAMCgQVSKGBIUwKFA2asxIpMegwM9AfooNCgAYFChvDApElYUhQUEMCvogRKPSBsizCFY+1AoK5QoLlRYUooIgbYUodDxCvveTT1BwzfKxRUGDBEGQNq1hUCCqHNpoxzQwrqOgbcFAAIGXfqHa48uxdkIxIh0HyhJS7D2HZFtsTcv8YxH8dc+w2sVIO6+9kddRMOKc+8FAAAff1+ZK6yKuo0BUGdiSUAZsUaBs1FoMTU8tCjz+88euR1QObFEgMj6GhDJhUKBsGBRy4/GfP3Y9onJgUCAyNoaEMmJQoGwsvpmGH6egJ+Wo8Mo1HiGf+zZ6iwKpg0GByLgYEsqMQYFyMWqrAlsTyq/YFgVAf0GBFUr1MCgQGRNDggoYFLTDbDbD3NgqbbDa1C4SAAaFbLR47FeZgUm1Fmmr0tCZlUFBX8xmM6praqTNbNbQwZQFgwKR8ejj7GNADAraYLXZYF+8StrMzklqF0nCoKAf1XYL5rbVSFu13ZLwdyW7FeWDQUE/rDYbpkyZKm1WmzZ+uMgHgwKRsTAkqIhBgbRK60GhXMe9kfrXMyhQOTAoEBkHQ4LKGBQoG7VaE4DyrtBcidRoXaikoEDqYVAgMgYupqYBXHBNPaFgEIG/PC9dFsb8KpYmPbUWXAOUXXSt1IXWtHTMjwQi2HFgolITCEVVLE12xSy45kKsEtc4f5puFlzT66JcoWAQRw53SpfD4bCKpSkeF1wj0j+2JGgEWxTUIQgChOGT0obIuNpFSsuoLQp66HaUT2UkKgCjwai0RQXFi1WSFs9IQjBIblEA0p+TAH21KOjxV2dBEBAKhaRNEDR+MGXBFgUifWNI0BAGBdIqdj0ypkxBoTvolbXrEQAGhQrFoECkXwwJGsOgQJmo2ZoAKBcUjNKakEt8RUft2Y7ilaNFwd5ziGMUKhiDApE+MSRoEIMCZWLUoFAqvQQFQFsBQZStRQHQf9cjViTVx6BApD8MCRrFoFBGNsfEZtL+R8KIQUEvaydkqtiaAFgtJmkzZbi9FgOCqFxBAVCn65GeKpIWi0XajIRBgUhftF8jqmAMCsqzOxyovuQGaTN7GtUuUl4YFFLVD3Wo1qJQW23Bktm10lZbrc/KXTmCgppdj/RQkbQ7HPC1T5c2u8OhdpFkxaBApB8MCRrHoECZMCikV66gIG5GUwldj1iZVBeDApE+MCToAIMCZWLxzTTc9KjiL82lKFerAhCr8NTb+svyWOVi9KAAMCyojUGBSPu4mJpOcME1ZYyHwxjt2I2qoeMAgOjooMolKo4YFNQYWKzUgmtiUCh1wTWRksf+eDiMvt4eDI67AWh7MbV8iRWwdKsyN9t70p6T9LbgGjBRodRKq5B4LMVfNiouuEakbQwJOsKgIL9IJILQ0DGExCsmJbbO6GVArUitsCA+nlbDApC+NU2uz0IkEoHf70dvsEaW+9OSdIOt5Q4KwMQK2moEBSD112e1KpjisVQpGBSItKvg7kZvvPEGrrjiCkydOhUmkwm/+c1vEv4uCALuu+8+TJkyBdXV1Vi5ciXee++9hH36+/txww03wO12o66uDrfeeiuGh4dLeiKVgl2Pyivobc+6aZVa3ZCUXp1Zjq5I8cRuSfFbKSqpQmKUwcyZiN2R4jdSBrseEWlTwS0JIyMjWLBgAT796U/jqquuSvn7o48+iv/zf/4PNmzYgOnTp+Mb3/gGVq9ejd27d8NxapaGG264AceOHcPLL7+McDiMW265BZ/73OewcePG0p9RBWCLgnbkCgpqt0So0bKgZKuCKPl1lTOw5RMUsn12xApPJVROjNb1KJd8y6OFkKM3bFEg0h6TIAhC0Tc2mfDrX/8aV155JYBYK8LUqVNx11134ctf/jIAYHBwEF6vF08//TSuu+467NmzB/PmzcPWrVtx9tlnAwBefPFFfPjDH8aRI0cwderUlMcJBoMIBoPS5aGhIbS2tmLH37fD5XKl7F8pxMqMvecQIh0H4N/fgb5dR1KCAgC0rWpG4/xpcM3yweKbKVWqGBTUaVlRKzyoMWZBrYHVarT0pPs8aa2iqwSxApbunAQgY1AAJlocMp2bKun1o4n3O3ksTItnJDZJwFCsBUE8toDYsTN+zgr0u33oDnrT3haovNfZ7/dj4aKzMDg4CLfbrXZxAMTqbx6PB/+8/Vq47Fa1iwN/MIzTf/grTb1GWiLrmISDBw+iu7sbK1eulK7zeDxYunQptmzZguuuuw5btmxBXV2dFBAAYOXKlTCbzXj77bfx0Y9+NOV+H3nkEXzzm9+Us6iGwBYFeWR6/kqGh3QV2HIEB6O2LKST7fUsZ4AotGKix0pxcosCEHu/i2lRSD43abFFQW5aGzytJrYoEGmHrCGhuztWEfV6E0/oXq9X+lt3dzeampoSC1FVhfr6emmfZPfccw/WrVsnXRZbEohBoVR2ux3e5inS5Z7uY1KrVT6viZxBIrniqmRoqKSwkE6u17bQEGGpccM5/UzUmmOn1PjjqFD5VmK0VnFOCAqnriu261ElBgUg9hrWOsyY12aXrivlWNIrBgUibdDF7EZ2ux12uz33jhWKQaEEJhOqqqoSLhci3WsmV3CIr6gqFRgsvpmGmglJLgW3QphMMNscEzNBFHgcFSNdRUftirScYxQqNSiYSjwnGQWDApH6ZA0Jzc2xGXZ6enowZUrcr7M9PVi4cKG0T29vb8LtxsfH0d/fL92eCsegoB1KBAexYqpEWDDitKlKSvcemOu0UXlNrvioNZVoObseiRU/Mh4GBSJ1ybri8vTp09Hc3IxNmzZJ1w0NDeHtt9/G8uXLAQDLly/HwMAAtm3bJu2zefNmRKNRLF26VM7iVBxOj1q4yPg4BgcHpC0yPq7I4/S7fdJWCiWnXlWrsh7pOKDKgGo5CcFRjHfsVvw4KlSzvUeVilD89KjiMVvK9KgAsk6P2jXoTBmsqleh8SiO9Yc0dyyphdOjEqmn4JAwPDyMHTt2YMeOHQBig5V37NiBzs5OmEwm3HHHHfjWt76F//7v/8bOnTtx0003YerUqdIMSHPnzsWll16Kz372s3jnnXfw5ptv4rbbbsN1112XdmYjKgyDQmHGx8exq8sibeNl+ELWclhQ81d9PYcFYcyP8J4tOHH8OE4cP16W46gQaoSF5HUUACgSFOIrgEYICsGwgIPdQc0eS2pgUCBSR8Eh4W9/+xsWLVqERYsWAQDWrVuHRYsW4b777gMAfPWrX8Xtt9+Oz33uc1iyZAmGh4fx4osvSmskAMAvf/lLzJkzBytWrMCHP/xhfPCDH8RTTz0l01MiBoXilXPhJDm6dhktKADqTNNaKcodFpJbFAAGBSoOgwJR+ZW0ToJaxHl2K32dhFy4jkJ+sn1BlKtCVWooU2KsgtqVdbXDSjGOnXah2kXIWzkrRuVaRyE+IOh9nAL7y6fHdRTyx3UScuM6CdnJOiaBtIUtCqWr5F+Y1K6kqx1SjE6tFgVRJbcoaLlsWscWBaLyYUgwOAaF0umh65HRBjOLGBSUxa5H5afFMukNgwJReTAkVAAGhcysVitmT3NIW7Ut/UeCQUE9eggKJmcdbItWwtvcDG9zM6xW9ZvRtUjJWY/iaTUopEzjmUa1zYzZ0xw8lnJgUCBSHkNChWBQSM9ssaDBbZW2KktlLlyUi9pBQetMVjssXh+czlo4nbUwWyxqFylvRpn1KHlQtlaDQi5VFhMa3FZdHkvlxqBApCyGhArCoFCaSm5NANSfHpWUo2ZQKGfXIz2FBcoPgwKRchgSKgyDQiIhGoV/LCJtkaj6k30xKKSn5aAgRMKIDvQiEAggEAhAiEbVLlLBjBQU4mWqAGpVJCrAPxbR9bFUbgwKRMpgSKhADAoTQqEQdh4clbbRIL+Qc2FQSCX4+xH86+9wtOsIjnYdQSgUUrtIuqBUUMjW9QhQJyjk+5ijwSh2HhzlsVQgBgUi+TEkVCgGheKU68tCy60JAMcoGJUa88SzRYHkwqBAJC+GhArGoGBsRg0KWm1NMAojBYXk56K1oKD24xsRgwKRfBgSKhyDgnbJsdo1gwIVg0GB9IxBgUgeDAnEoKBhDAqZMSgoi0GB9IxBgah0DAkEoHKDgqWqCtMm26TNVpV7nQR+QaSy+GaqEhYiHQc0ERZMDieqZixEXd0k1NVNgqWqSu0i6ZYcQQGApoJCIfdtqzJh2mQbjyUZMCgQlYYhgSSVGBSqqqrQ1mSXNrtVex8JPbQmiCq1VcHkqIX19MWob2hAfUMDqgxSsVOjNQEoPSj493fotkXBbjWjrcluuGNJLQwKRMXTXo2IVFWJQUEPGBRyUzsoGJVeg4JIj0GB5MWgQHL70Y9+hPb2djgcDixduhTvvPNOxn2ffvppmEymhM3hcCTs88ADD2DOnDlwOp2YNGkSVq5cibfffjthn3/+85/4yEc+gsmTJ8PtduODH/wgXn31VUWen4ghgVJUWlAQBEHajI5BQTlCNGrY40ivQcG/P3Ye0ltQqKRzUrkwKJBcnn32Waxbtw73338/tm/fjgULFmD16tXo7e3NeBu3241jx45JW0dHYh3p9NNPxxNPPIGdO3fiL3/5C9rb27Fq1Sr09fVJ+1x++eUYHx/H5s2bsW3bNixYsACXX345uru7FXuuJkGHZ6GhoSF4PB7s+Pt2uFwutYtjWGJF395zCJGOA/Dv70DfriPofCn1gGxb1YzG+dPgmuWDxTdT+kKX4xdwpRVzgler0iRX+BIrTOWgRsVdrZBy7LQLVXncclGrMiR+3uqHOqRjVzwnAYktB8nEIJHu3JT8fJLDQXKlsBi5Akemx1DrHGN04nue7r1utvegfigWDMRjC4gdO+PnrJCOmUzHidbeM7/fj4WLzsLg4CDcbrfaxQEwUX/75+3XwmW3ql0c+INhnP7DX+Hw4cMJr5Hdbofdbk97m6VLl2LJkiV44oknAADRaBStra24/fbb8bWvfS1l/6effhp33HEHBgYG8i6X+Dq98sorWLFiBY4fP47Gxka88cYbOP/882Nl9/vhdrvx8ssvY+XKlQU86/yxsyNl1O/2oX6oA0FvO+wA4uNYclCIv+wCYEfsV+v6oQ5dBAW9EN+TUgW97WULChbfzLIHhUjHAS74poBme48qQaE76EWzvSd2/CMWci2+mXAh9mtv4/xpGYNC364jUlCIdBxIODfBnRh8WjwjCRXArkGnLEGBtEM8htO91/B4ATdQf84KuDARFPz7O+DCJtSfswJwA/B40x4n4nFKudXOaIWrOn0lvJyEsSAAoLW1NeH6+++/Hw888EDK/qFQCNu2bcM999wjXWc2m7Fy5Ups2bIl4+MMDw/D5/MhGo3irLPOwre//W3Mnz8/7b6hUAhPPfUUPB4PFixYAABoaGjA7Nmz8e///u8466yzYLfb8eSTT6KpqQmLFy8u9GnnjSGBsmJQMC6jBwVShl6DAhD7RZhBgRgUKFm6loR0jh8/jkgkAq838Rzo9Xqxd+/etLeZPXs2fv7zn+MDH/gABgcH8b3vfQ/nnnsudu3ahWnTJrpMvvDCC7juuuswOjqKKVOm4OWXX8bkyZMBACaTCa+88gquvPJKuFwumM1mNDU14cUXX8SkSZNKffoZcUwC5VRpYxS0Ts7AVa4xCkD5p0llKDEeNccoqD1OgeTFMQoUz+12J2yZQkIxli9fjptuugkLFy7EhRdeiOeffx6NjY148sknE/a7+OKLsWPHDrz11lu49NJLce2110rjHARBwNq1a9HU1IQ///nPeOedd3DllVfiiiuuwLFjx2QrazKGBMoLg4K26DUoAOqtqUDyUfOXUrWCAlD4gOZ89mf4UA+DAhVq8uTJsFgs6OlJPF/09PSguTm1PpSO1WrFokWLsH///oTrnU4nZs2ahWXLlmH9+vWoqqrC+vXrAQCbN2/GCy+8gGeeeQbnnXcezjrrLPz4xz9GdXU1NmzYIM+TS4MhgfJmxKBgNptRV2uRtiodfSL0HBSA8oSFsrUmWG0wT56G6poaVNfUwGzW0YFUJAYFZVSZgbpaS0UdS2piUKBC2Gw2LF68GJs2bZKui0aj2LRpE5YvX57XfUQiEezcuRNTpkzJul80GkUwGBszMTo6CgAp5wOz2YxoNFrIUygIxyRQQYw2RsFqs2FeS410eefBUfjHIiqWSD3lHKMQLz4o6LWLkNk5CfazV0M85Xd1HUEwEFC1TOWg1vgEIHWMAgDpnKTkGAVA2XEK1XYL5rXVAIidlyrlWFITxyhQIdatW4ebb74ZZ599Ns455xz84Ac/wMjICG655RYAwE033YSWlhY88sgjAIAHH3wQy5Ytw6xZszAwMIDvfve76OjowGc+8xkAwMjICB5++GH8r//1vzBlyhQcP34cP/rRj9DV1YWPfexjAGJdliZNmoSbb74Z9913H6qrq/Gzn/0MBw8exJo1axR7rgwJVDCjBQU9k2u2I61I17JQanDgTEfK0kxQOPU5KMdgZiB3UGA3In1hUKB8ffzjH0dfXx/uu+8+dHd3Y+HChXjxxRelwcydnZ0Jv/ifPHkSn/3sZ9Hd3Y1JkyZh8eLFeOuttzBv3jwAgMViwd69e7FhwwYcP34cDQ0NWLJkCf785z9LMyBNnjwZL774Iv7lX/4Fl1xyCcLhMObPn4/f/va30gxISuA6CVQ0I6yjYHc40NIy0TUh35YErZ3w5Q4KarQo5KPYwKB0SDDXeWFfdrl0uRJ//VWza0Wp6yiIXUmyraOQqdIvR5ek+PtwVVtw5vSJ1s1KPJbUZKR1FLS8TsLRx+6CWwNToA6NBTH1zv+tqddIS9iSQEUzQotCKBjEjgMTX9CBUO6+fVoLCID8LQpqdT3KRazsFxoWlG5NiPpPIPDmr3G8LTZfdTgcVuyxtEozLQqnrpO761G61gRgojIpV/ejkUAEOw6MYLLtBIDKPJbUxBYFogkcEUUl0ftgZkEQMBqMSltUd+1qlamYQc+KjneIjEPw9yMUCiEUCkGHDbSy0MpgZpHcg5nz6V5UajejqACMBqMVfyypiYOZiWIYEqhkeg8KhdDyr0Byt8gEve2qzHpUiELDQqTjgG4HR+uFVoKCUrMecRxCZWBQIGJIIJlUUlDQMiW6bmk9KACFjzkQwwIDgzK0FBTiz0mA8kGBjINBgSodQwLJxuhBQcutCPEYFArDwKAMrQQFAAwKVDQGBapkDAkkKz0GhSqLSdpMGfbRS0AQMSgUp+jAYDIBVgfMZjMXv4qj16AAQLWgYELsnMRjSTuUCgri7Ym0imcgkp2egoLd4cA5s2ulrbbakrKP3gKCqFKDglwKCQxmTxOqV9yA9ukz0D59BuwORxlKqA96DArijEdqBIXaagvOmV3LY0ljlAgKIgYF0iqGBFKEnoJCJs32Ht0GBCVpPSgoMdUpuyOVhkEhOw541ge1ux7VD3VIWy7dQS96Q0059yPKhiGBFKPnoGCUcKDUGhRaDwpKYVAonlaDgnheSkfNFgXSJqW7HmUKC8nfhfmGBaJSMCSQorQeFMbDYfT19mL/0QD6envhNhmv9aASg0Ix6yiUIjo6hNC7f0Zfby/6ensxzgWw0lKzdS5TUBBpJSgEQlHpfMRjSZuU7HqUSabzOIMCKYkhgRSn5aAQiUTg9w/BPHYEfv8QIpGIIo+jtkoMCoB8YUG8n4z3FRpD5Mg/4fcPGfo4kovWgkIpXY8AyBoUwhFBOh/xWNIutbsexWNQIKVUqV0Aqgz9bh/qhzoQ9LbDDsAV97fOl7oT9o2/7AJgR+zLvH6oQ7HKbiUQ3wO5Bb3tCRUmLSpnqwLlp9neo8qAze6gF832nqznJDEUIOm6xvnT4N/fAdcsXywoAKgXd3BPVO5aPCMljTMQy0jaJh7Dye9316AT8HgBN1B/zgq4sEkKmP79HXBhE+rPWQG4AXi8Kbdt8YxIx1L8cZDtHJ78/dhs78GB4Wo5ny5VILYkUNlouUWhUlRqiwJpk9ZaFAAUPUYBSG1R4DgF41OyRQFIbVXIdg7n9yPJjSGByopBQX0MCqQlRgkK4kDS5HEXDArGp+RgZgApA5r73b68xig02XpLe2JU8RgSqOwYFNTHoEBaYpSgAEycmwptVeA0qPqm1GDmXK0K6c7l/H4kuTAkkCq0EhTsdjva2nzSZrfbS75PvWBQkI/JPRn2Cz9ekceRXLQcFNKFhXyDQqGtCrUOMxaf5uSxpENqBAUg/bmcQYHkwJBAqtFEUDCZUGW1ShtMptLuT2cYFORhMltgrq6t2ONILloNCkD6mY8yBYX47kdA/q0KXYNOmEwm2K1mHks6lU9QiJ9RC5gIClPeez1rUMjU/QhIfy6f5D9c8vOhysaQQKrSRFCocAwKRPIGBQBFtyr0jThKeh6kvlxB4dhpF6YNCpGOA1mDgngfmaZK5ex/JDeGBFKdmkEhMh7B0OCgtEXGK3NOcgaF0gihUYx37qn440gOWlyZGSg9KGRqVUgWCAMHugUeSzond1A43BPb4u8HyLymgr3nEOy9nXI9HapQDAmkCWoFhfHxMI4f75O28fHKXd2UQaF4wqgf4d1v8TiSiVGCQnz3IyDzoOZ4IwFg+0GBx5IByBkUWk9lgfiwUOzia0T5YkggzWDXI/UxKJBWGCEoANm7H5HxKdX1iEGByoEhgTSFQUF9DAqkFXoPCvmMUwC4loLRyRUUWpNyQLqgEH/+jhw+qMCzoUrCkECaw6CgPgYF0go9BwUg94BmqgzlCgpEcmJIIE1iUFAfgwJphVGDApD+uR1mTyRDyicopFtHoZCgwG5HJCeGBNKscgQFq9UKr7dZ2qxWq+zPQ88YFPJjcnpgW7iCx5GCjBgU4s9PYsXRVQ1ccY6Jx5JBFbvgWr5BAeBUqCQfhgTSNKWDgtligbO2VtrMFosiz0PP+t0+Rb509BwUxJlrxC3afwKW5nYeRwozWlAQxT8vWxVw2lQTjyUDUyooxN9H0NsOS+t0RZ8HGV+V2gUgyqXf7UP9UAeC3nbYAbji/tb5UnfCvvGXXQDsiH2Z1w918NeVEonvg5yC3vaErhdakVyJIwJiQaHZ3pNyTop0HIBrlg/+/R1onD8tIRgk8+/vkCp/9p5DqMdE8GjxjCAQZd/yStBs70F30IsWz0jCeIKuQSfg8QJuoP6cFXBhkxQu/fs74AJQ720H3IjtB6fUinC4Z2Kq1H63D07sKedTIgNiSCBdUCooCNEoAoFAwmUqL7WDgiyBIBxCpPcIwu7JAHgcKUmsXKkl36AATLQi9O06ktLKEOk4ILVEABPPazwC9A8LqKkKAuCxZGSZjuXcQWETpvhmAqddmDYoALHbT2tqK9tzIWNiSCDdUCIohEIhHO3K/KsfJVKiNQEof1CQu6UgeuIYxn79Y/Su/LSs90vp6SEoAOm7HwETrQmRjgOwAwmtCbXWEWza6cTiJp6XKkVya0J8RR9uYIpvJlxASovCFCBrUHC6Wsv4LMiIGBJIV9j1SH1GCQqkb3oJCvmqH+oA3JC6oFBlyNTtKCEonHYhpgAFB4W6qU3lfCpkQAwJpDsMCupjUCAt0HNQSG5NEM9LcJet+KQRyUGh1Rur5BcSFOq97YDnHABOvLk1FjIbajm+hUrD2Y1Il7iOgvrUnh5Vz7MjkXzUnPEIiAWF+JVuk2c9ip+hJln8bEc8L1W25BmPxAHIh3uSZiyKW3At+XtNvI+2tlg46Oot85Mgw2FLAukWWxTUp3aLQrEtD2IljrMYGYPaLQrAqSlS3Ug4JwG5WxWSWxSAxDEKVDkytSgA4mDmczDPG/v+QtJMWmKLwuLTAGAGOjuBw0fYbY1Kw5BAulZqUAhNm426uknS9X6/H5HIuKJlNhq1g0Ip4meXKSUwmJweVJ2+SDqWeByVnxaCApB0Tuo5BItvphQUAKQNC/FBweT0wDljAaI8lipSuqAg6hp0ornJh3oAdSsukc5Z8UGh3tuOFk/sRkcPHS9z6cloGBJI90oJCo46L+wNDdJ1Y4ExfiEXQcmgACBrWJArTMQHhnj5hAeTqw72c1ZJvwTzOFKH2kEh7RiFuKAAIGOrgnid54MXwHr62ag/dT2PpcqTaTAzENdihUwtCpvQvNKHtrYZOLi37EUng2FIIEMoNih4mtmkLxelggKQe/yBkq0OmcJDPHOd+r9gU4wegkK85IXXrO3dqClXYUmz8lpsDYktCkAsbE7xvY5W7wxMbZ+sQsnJSDhwmQyjmMHMo0e6IQiCtFFp+t0+1fpSB73tqg5m5nGkHc32HlUHNIshJf6cBCBhQHMmAwf7IESjPJYoYTBz8rS44mD55MHMQKz1c3HT+2idxtmNqDRsSSBDKbxFYTOGLr2hnEWsCEq2KuSSHBTKMaVqdKAHgT/9HMdOu1Dxx6L8iZUsNVoWCm1REI3u3omdl1+M2h+uL2NpSaviW8bEoNA16ESLZySl61H89Kj1Qx1oaWJLApWmoJaERx55BEuWLIHL5UJTUxOuvPJK7Nu3L2GfQCCAtWvXoqGhAbW1tbj66qvR05P4i05nZyfWrFmDmpoaNDU14Stf+QrGx9nnkuRRSIsCKUfNVoV4YgtDIRsZi9iyUO4WhkwtCkD21gSieMnHbXyrQqYWBXvPISycfLDsZSVjKagl4fXXX8fatWuxZMkSjI+P4+tf/zpWrVqF3bt3w+mMNWvdeeed+P3vf4/nnnsOHo8Ht912G6666iq8+eabAIBIJII1a9agubkZb731Fo4dO4abbroJVqsV3/72t+V/hlSR8m1R6HypG/PKXrrKEh8U9DIHPIOCsSUHhXK0NMS3rsW3JsQPOiUSicdK/Pkz03ib7qAX3XYvmk/zYQomJluY5D9clrKScZmEEjo99vX1oampCa+//jouuOACDA4OorGxERs3bsQ111wDANi7dy/mzp2LLVu2YNmyZfjjH/+Iyy+/HEePHoXXGzvYf/rTn+Luu+9GX18fbDZbzscdGhqCx+PBnj274XLFqn/BQCBlP7PZDGvc/YWCwbR9PO0Oh/T/8XAYkUgkdR+7HTCZAACR8fG0LR9WqxVmiwUAIESjCIVCKftYqqpQVTWRzVjufModwfh4uKhyN4x1w2xzwNbfjUhPFwb/8gaA2GBBMSyc8d4fNVdui6UKVVaVXu9IBOPhYsttQZXVmne53SPdiIwNA9HkMplgcU4sPRsNjkEYT/N41S7AHGsQFcZDiAbHUh/PXgNT1akyRSOxx0t+NKsdZtvE6xQZGUzdx1IFs2Oij2+6cve7fXm93ja7HaZTr3c0EkE45+stIBQKpuyTz+ttMpsTzqulHCc2mx0mc+WVW6yY2apMsFsnGuD9Y6mPZTEDNXaLdLkW3RCiUQATFT97TwfMdU2I9HRh9Eg3Iv19iA6dTAgLtT9cX97X22SCzW6XLodCIanc8TR3nKhZbkFAKChPucOhEKJJ5a4f6oDF6cGQszmh3MlBwekww3zqfFJn6cPk3a8AAIZGxtB8ze0YHByE262NpbzF+tvRx+6Cu9qe+wZKl2csiKl3/m9NvUZaUtKYhMHB2BdpfX1ssrZt27YhHA5j5cqV0j5z5sxBW1ubFBK2bNmCM888UwoIALB69Wp88YtfxK5du7Bo0aKUxwkGgwjGfRCHhoYAAFOntsDtdkOIRhB46WkAidMVWtpmo/qym6XLo796HNGTPYmzldirUX3x9dLF0M43EOl6L6UMjouug+lUBWG8YzfC721J2cd21kpYmqYBAKIDvQj+9eWUfapmLoTVtxhArKIVeOkXKfuYG1thX7xKuhz4y/MQhk8mPZgD1ZdM9KUP7XwDo2kqpLVnXihV7gcHB3Di+PGUE8zsRgca3LETmn8sgp0HR1PuZ5rLhpam2AdaEARs2ZNa0aqrtWBey8S8HDsOjGA0mHjSq7KYcE5LrXR5/9EAzGOpv6J5vc3SSXZocBDHj/el7FNf3wBnbey+AoEAjnal3k9kylx4Tk1xKggCus9YAQCoBaQWhJ61D2PpHyb6/76x5KMY+vvuhPuxNkzC6p6/Spf/8fl70bn+uZTHu2T/JtS0x46Bjqeewe7/5/6UfRY/+zimXH0pAGDgb+/iL8uuTtln5t2fw9yH75p4vA+n9nWvXXQ2Wh7+39Ll9770OYy9l9j9r+ns2Wh+8Cnp8uB/rcfoXzcn7OOa5UPNJ74Mszv2OQ7v2YrgG79O2MfimwnbwktgOTUbVHTwOIJbEo/voLcd9iYfqlumS9cN/H1Twj79bh/sdjumTG05dc00dB05nPD5BmJBon36DOnygWMB9JxMPb4XzXCi2hartPWcDOHAsWDKlIHLWk1onRz7Ah0YEfDyP1IrmqfXAwt8E5W//9wSRfJejW7gotMn9tn4ehTdSR/L8+aMYOnMiXar948F0J1U7mZ7D7xNXiko+YeG0NeXujTqpEn1qBV/BAkG0XUk9VfB2loXGiZP9Dt+/8D+lH3sNjumtrRIl/37tiIyOpS4k9mCupkXSRdHD+9D6GTq58k1dxksp86DoRNHMdqZ+ng1vvmw1ccqNZGxYfj3vp3S7Sy53Fv2+CHW/8X3b7ILuHj6xOu9+d0oTvgTu1qYTcCy+Ne7O4Du/tTjZOG0Gqni3jsQRvhEaotW3aR66UenUCiII4cnXm+x5cHt8WDy5Ebp+oEdrwJC4jnO4vTANf1s6bL/n/0poTPYPB11Cy8GANQAGDvyTwT7DqMtbp/dQS8WttSgxhErt9/vR19vrBzxLXI1vnmw1U85Ve4QjhzuTHluztrahHIffP9ASuCy2e1oaZkmXT7adQSBNJXb+H1OHD+OwcGBlH2avE2w2ewp5Y5XVzcJrlOVsozldtZicmOOctuSy92FQCD1x4J8yt3Y1BT7wQTAsN+P3hzlDodCOFx0uW2J5T7ahcBYYrn73T7MmDlLagk/ceI4BgcGUlrCWlpaJ8o9XC+NjfL7/SllIypE0bMbRaNR3HHHHTjvvPNwxhlnAAC6u7ths9lQV1eXsK/X60V3d7e0T3xAEP8u/i2dRx55BB6PR9paW1uLLTYA466yWo4BmkpQc7pCs9kMz1nzVXv8fHW+1C1thTix92jOffz7OxANZx8TZNTPjFzsVsDXBHicltw7l5l7tLBjRk3JAa8SmSxVqHLVo85pERvJiIhUUfQpaO3atXj33XfxzDPPyFmetO655x4MDg5K2+HD7GdnJGpOVWi12TDnW+tUe3wjySek6mVMQqEaXMDV55oxpzX3DPdaWBVYq5KneaxEZocTtbMWYZ6vBg6b9kInEVWOosYk3Hbbbfjtb3+LN954A9OnT3Qt2Lx5M1asWIGTJ08mtCb4fD7ccccduPPOO3Hffffhv//7v7Fjxw7p7wcPHsSMGTOwffv2tN2Nkol92o5sexWTQ8MABEQHYs31Cb942qthntQkXYwePwqc6pIjdTkymWH2TDQLRkcHgVCa/oOeyTCZTvVDDI5CGEttxjM562CynuqSEwlD8Pen7uNwwuQQu9tMlDuB1Qazc9JEmfwngOQVNzOUO3nA5Ujj6WnHJMRXVKptZlRZTu0TFVK6CAH59cWtMgPVcX1xRwIRRJOOLhOA2uqJfQKhKBqqUn/pLFfffrvDkdDk+4/bvomu//gNIiOJXa5MVVWoW7pAujy6vwPBntQl7z1nnwmzPdaNJNjdh9EDqU3RtXNmwNoQe38jwyMY+p/UZTEd05pR7ZvoInLyzW0Jf29b1QxLbS3sbROfv8DB/YgmNVfDYkHN7Hmomx47ViInehH1D6Q8nnXaDKmblDA6DGHoRMo+prpGVPlOi+0TGYfgT90nNG12zr79A3XT8x5L0R+KdYEKhKMIj6fuE98XNxyJIhCK7RP/i7TLAdhOdQ+ORICB1N50qLYBNXHdY0+kaaW3WgD3qQzQ2w/0DQFiA8zUeuC6CyY+HweOBjAajGYsd5t7oCxjEuqHOgCzBZbqiS5+6ceAxLrJiOQbAxJF5NS5Mr7LkcViwZAwcQ6KP5+I712VBfDEZa7BUWA8khokXPHnkwKOk+QfJ4p9vVOCbzGvdygAIRyUrnedPtFd6cDRABzC8YTjJP4xzfZq+D1tBZc7GcckaG9MQv7ltsF06nMZX26/34+Fi87SVH97jknQl4LGJAiCgNtvvx2//vWv8dprryUEBABYvHgxrFYrNm3ahKuvjvWz3rdvHzo7O7F8+XIAwPLly/Hwww+jt7cXTU2xCvzLL78Mt9uNefMKm2cmMjKE6EhqX3VJcAzR7hy/XApRRAdy/5ItDB5P6aOcss/IQO59AiMQAjl+LQuHcpcpz3In9/VOZyyUemJKFhoXEBpPPTnFG4+mDw/xBKTZJ81RmE+5w+EwkOYkHi8SGUckOWBl4d+5LyUgAIAwPp5SUU9n8G87c+4zvPf9nPsEjnQjcCR7N5HI8DBGd+d4vEgEo7t3YnR3bBaVTMJH3sfgkfezTssoDPQh6sl+EhXCQUTC2d+7aDSa9kszWTAQgBNHs/7yPhJIf+zGr1LqDwDI8XBjodiWTTgyER4s1omAkM5oMJr1s5CuYpHyeHkd35G0lYYE0UjasJZyX/nsk+bHkZSHC44COZ5eJBKBP5jjfBJJH9aS5TrnAJmPk3hafL2B2LFkimY+gKPBsZyfp3zKLQhC3p/LXNJV+JPJ9Xqz3Ej7AxmRHAoKCWvXrsXGjRvx29/+Fi6XSxpD4PF4UF1dDY/Hg1tvvRXr1q1DfX093G43br/9dixfvhzLli0DAKxatQrz5s3DjTfeiEcffRTd3d249957sXbtWmngDVUONbsaAbHK2htLPipdHvnnIfUKU4DOl7pVWfch0nEgceB/EnvPoZzTh9YPdWhi/YRStXqBw6cO375B4P++GsWZvtgv62NpWuOodJXQHSk22PsdvG+LjZUaC0bhzD3pHxGR7Aoak/CTn/wEg4ODuOiiizBlyhRpe/bZZ6V9HnvsMVx++eW4+uqrccEFF6C5uRnPP/+89HeLxYIXXngBFosFy5cvxyc/+UncdNNNePDBB+V7Vjlkq+QYTaY+4GpXzrVSBkEQMPT33dKWrhWhkoirdSqtkLEJxR4n5ahQtp5q5AhHgN7B2C/WI4FoSje7ZByXkFklBIGsohFExvx5H0tEREopuLtRLg6HAz/60Y/wox/9KOM+Pp8Pf/jDHwp5aE0Rxz1oMWzk80uuKNPCLKQPhbYm9O06krXLkVwKOQaVFt/tSClii0Krxj5KRh0krjXxi6QRUX4sbe2wOKvVLgYsI7HW3yVLlsBisWDt2rVYu3atyqXSjpLWSah0ubpe6IFaQUELrQhUHLmO+0K6HWk90GotIBhRxbcwZGGULnxEatm6dSsHLqfBWZgLZMT54stdYWdAkE+h6ybEr+iaiRxdjpRYs0PL3Y6ocNneT729Z6ygE5ERMSSUyCihodneU5bKuxYDgrVhkrSZqti4lg+5jvtyddNQutJpMgG2qtiK4lUWE0x53EbLLSNao7fQUBoTTBZrQccSEZESDBcS9N79R21iWJC7Ml+uEFIou8OB1T1/lbb4tRD0gq0J+VGyollfC3xkiRnnzK7FObNrE9YCKUV30FuxYaLFMyJtlcTidMPzgQtkP5aIiApluJBA8okPDMVWzrQaDqh0emtNAPT1i3SlhgO9YpcjIjIahgQZGKXLUS7JoSGfjcpD760J5ZgSVYuUCgKcbSc3hjAioux03wE76G0vqFsDuyNRvPFwGP/4/L3S5dEyrRNgFGrN8FXKbEdKTIs6HAD+diCKuurYyqeBPFYxzyb5uXUHvYYKR5RZNDiG0c49OFo1HUDsWHLq/puaiPSILQkGlBya+KtiZpFIBJ3rn5O2YM9xtYtUtEpqTSiV3N2OgmHgYC/QOxBG70AY4Uj+K2BVyi/alXAekqPLkTAeQujE0aKOJSIiOTEkyKRSuhwRJZPz2C9ntyOtjk+olNBARETaZsiQwC5FVKn03ppQKKMEBQYD41BjADMHTROREgwZEoiovPJpTVCq25GRgkKlhQWOsyAi0q6KCglKtzCwyxFpgVqtCWp1O5KDVoJCNpUWIIiISF2GDQnscpSoEgYNFsNut+OS/ZukzXP2mWoXSRaFBoV8GLnbEVBaUJjkBD68yISzZjlx1iwnRsed6Bp0yj6LEulDKd1/LDUuuOedKx1LtY7Ur2l2LyKicjBsSCDKi8mEmvZp0ma229QukSryaU3Ih567HQHFBwWzGXA6THDYzHDYzDCrfGZlJTI/mmydMZlhtldLx5LJZFK7RERUoQwdEiy+mQlbOWily5FSv9iSfmi1NaEQegoKmbA1oTIpHdTE+2cgJCKlcIkWqmiR8Qg6nnpGuhzs7lOxNOrq23UEjfOnlXw/+SywZu85hKC3Pa/7qx/qKKgiVMpCayIxKORbwQ+EgQM9QsJlomII4RCCx7tw0tIIAPCY+zCeYW0+BgQiUhJDggLUWoWWCjc+Hsbu/+d+tYuhmM6XutG2qjnv/fMJCv79HXDNyl45kTsoFEqOoADkvzrzSADY/n7mRa+6Bp26GBxN8up3+wpuDYuGxjB2eC9G3WOnVtpm4iQidRi6u5GatNLtKB4HL1cmLXc7UnI1Zrmm19RK5d6o04Ua9XnJga8NEamJIaFAhbQQRDoOaDIsUOUpJCiUcxBzIRgUCqPFriiV+EOFFt8HIqJ8GCIkKNVlQS4MC2REcq2dUMgge7WDQilhgQOYtakcMxwxKBCRHhkiJJRbseMNtBAWKvGXPIpRojWh3N2OAHWDAqBOqwK7nRARUbkxJKigXGGB06DmZrVasfjZx6Wtds4MtYukKC13O1L6eJU7KMSHBVc1sPx0k7S5qtPfrtytCfwFWzvyfS/M9hrUtJ+JJm8zmrzNsFqtCpeMiCg9hoQiybH2glqtCmxNmGC2WDDl6kulzdowSe0iaUo+QUGubkeAsgOZAfl/kReDgq0KmNZgkjabjPPGVUIrQiU8x3yZqqywTWpCbW0tamtrYbZY1C4SEVUow4QEtcYllBoWGBSo3NSa7cjIQaHRGZD1PkVylJWtCbmVa+VlvhdEpCeGCQlq02NQIECIRjHwt3elLTKsv1lsiqHl8QmF0EpQiEQFDI9F0D8soH9YwHgk874cwFzZcgaFaATBQEDahGiGldSIiBRmqMXUgt52VfvhW3wzi67wq7EAm1jBquRft0KhEP6y7Gq1i6F55VyNGVB2RWaRXAuuAcBoMIp/HBzVbAAoZlGvcpPz/dC6bO9HZGwYXV3yjAciIiqF4VoS1J4OVWstCvmEJq1XHkgZRul2BJTWoqBGf3itholy0Or5ptwBJVOwreQfbYhIWwwXEoBYUFA7LOhN/VCHZr+8STlqdTvSUlAAOHCW1JEcCBgQiEhLDBkSRGoOZi6W2uMTGBQoGwaF7LS8MrMeKqCVGNb63T5pIyLSEsOFBHvPoYRNj7QQFBgWKkeh3Y7kWj8B0GZQKFdFNZ8uR5XSR18r+HoTEU0wXEjQCi2toVBsWKqEsGCxVGHm3Z+TNse0ZrWLpAq1xicUotCgUM5WBVuVCS0NNrQ02DBnKlBtK/qhU1RaxVXt1gS1X2+LpQp1dZOkzWIx1PwiRKQjPPtomBgUyj3rUbJiZ4/RgyprFeY+fJd0uf8v2xA4In+FWQ86X+pG26r8QlK+sx3593fANSv7sVPIzF6FzHoElHbsipXVfCqNdqsZPq9dutznj2IsVNTDEiprpqNkVdYq1Dc0SJfHAmOIRMZVLBERVSq2JChIrsq92t2PgMpoVSDtD2QGCm8ZK/W4VWsGpHiVWmFWC19vIiKGBN0oNSjINT6DQYHiVUpQANgNRk75vB9qhzMjvd5ERMUwXHcjtRdUU5KWuh8B+pgtJZdgIIB/fPhCRfrk61Uh3Y4AfXU9Ako7bjN1QfKPRfDWbj8AZddA6A56VQ8rcijkPVCz65Ear3cwEMD7B/aX9TGJiNJhS4LClKjQF9uqIHd4YquCcelhxiOguGNarlYFPVbW9Rrs1Xy9u4NetioQUUUyZEiohIXUtDBOATDOWIW2Vc0F/XpeCdSc8UgPQQFQp/JayRVW8fVWIzBU8utORJXJkCEBYFDIRKmuWEYICgDDQjK1BjID5QkKcoaFcmKFVZ3AwFYFIqokhg0JAINCuRklKAAMC/H0FBTUblUgdZQ7MDAoEFElMHRIABgU0lFyYLfeuh+ZzWbULjpb2iy1tQl/Z1gonJpBAVCnVcFsNqO6uhphONHkAayWou8qb6yopleuwKBUq4J4LImb2Wz4r2ki0qiKOPuoHRTUno0oHaVngNJLULDabJjx8P+WNnvb9LT7VXpYUGogs5aCAlD8cWu12TBlagsunGfGhfPMcNcUdTcFY1DITo9hQTyWxM1qk3H5biKiAlRESADUDwpKK3Z8gtKtCkZTyWGhkoKCEY/dSlbOsMBxC0RkFBUTEgDjB4VisftR4So1LFRKUAD0E3ILrZDqdRpUOagxyJmBgYj0ynCLqeWi1mJrFt9MxQcZF7IQVTLxNVEqSNUPdWiychIKBvHelz4nXQ4e6Szo9mJQqKTF2NRcbA0ofFHBUo7tfBdgCwWDOHLkMPb2twAA/GMFPxSViRqLs8U/Xq6gIh5LonAopFi5iIiyqaiWBBFbFDKrtO5HgiBg7L190hYdK652V2ktC0qFonxbFIDytypkO34FQUAoGMTJEeDkCDAeLfqhisJfqwuj5kxUuVoXxGNJ3ARBKGPpiIgmVGRIANQJCuUYwCxHa4WSYxW0GBTkxKCQXiErMms1KAC5w0KLZ6Sk+y8XtVv1tHAeUHvKWgY7ItK6ig0JAFsUcmFQKE4ltSroNSjIERbk0DXolOV+AFY69YjvGRFpWUWHBKD8QUEvrQkiJYOCVsJCPv3li1EpYUGPQQGQr1VBK8dxodiaoH5rAsCgQETapeuQcNLVKsv9sEUhO6OPUzBVO9F09mxYal2ARf5VsBgUEhUaFAqZ+UiNVgUAqB/qhNlsRpUZsFYBJlPJd1kWagcFikkOCmazWdqIiNTCM9Ap5QwKemtNAIw7TsHucKD5wafQ/OBTmP+rFzD10gsVeRwGhUSFBAVA+60KFqcb7dNn4Jw5Lly5xIz62ty3IW38SKAVYlCwOxxonz5D2uwOh8olI6JKxZAQx2hBQQlGDArJGudPkzY5VUL3o0KDgta6H6kxPbKc4xKKUemtCVrockREpEW6Dwlyf8EZKSgotS5DJQQFkVJhwciUWnANKDwo6CkslEqvlV0tfu7VwvEJRKQlug8JSuAYhdyMEhTGw2EM/td6aYuc6E27n9xhweitCloJCkDxYbmQsBANjmG0cy8OHA3gwNEARgJFPWTRSg0IarcmMChMODpSh76+XmkbD4fVLhIRJfnRj36E9vZ2OBwOLF26FO+8807GfX/2s5/h/PPPx6RJkzBp0iSsXLkyZf8HHngAc+bMgdPplPZ5++23E/Z5+OGHce6556KmpgZ1dXVKPK0UhggJSnzBlSso6LU1ATBGUIhEIhj962Zpi/oHsu6vRFgwKqWDQjlaFYD8woIwHkLoRBd6BsLoGQgjUMZ6nV5bECi98LgA/9CQtEUiEbWLRERxnn32Waxbtw73338/tm/fjgULFmD16tXo7U3/I+Nrr72GT3ziE3j11VexZcsWtLa2YtWqVejq6pL2Of300/HEE09g586d+Mtf/oL29nasWrUKfX190j6hUAgf+9jH8MUvflHx5ygyCTpcznFoaAgejwc7/r4dLpdLul6JymW5uh0oWZlXOogoFajK9etm9U/vL/q2hQ7AzUapVYzVVmgQKjSEuWYVdpyU+nnIdrzvtp8DoPBxBqUswiZnSFD7F301WzS01tWH4Y9K5ff7sXDRWRgcHITb7Va7OAAm6m89//VDuJ3VahcHQyNj8F59Ow4fPpzwGtntdtjt9rS3Wbp0KZYsWYInnngCABCNRtHa2orbb78dX/va13I+ZiQSwaRJk/DEE0/gpptuSl+uU6/TK6+8ghUrViT87emnn8Ydd9yBgYGBPJ9l8aoUfwSdC3rbyxIULL6ZigWFSMcBRYOCveeQIkGhfqhD9W4QuYgVWjnCQtuqZkMGhc6XugsKCn27jhQUFPz7OwoKCuLnrNjPhHg+kPOY7xp0amK15n63T9WgoIfPPBGVLtDog61W3UkbACAwHDvvtrYmTql///3344EHHkjZPxQKYdu2bbjnnnuk68xmM1auXIktW7bk9Zijo6MIh8Oor69P+/dQKISnnnoKHo8HCxYsyPOZKMMQ3Y1ESn25GKHrkZItFYC+ux4V+kt0OnJ1QzLqWAUlux4BhXc/AkrrggRMdEPS4yDnbNSupKvdmkFElefw4cMYHByUtvgQEO/48eOIRCLwehNbHr1eL7q78/ueu/vuuzF16lSsXLky4foXXngBtbW1cDgceOyxx/Dyyy9j8uTJxT0hmRgqJAD6Dwp6puegIBc5w4LRFBMUlFxPQSRHgE4+9rXQKqBnanzm2b2HqHK53e6ELVNXo1J95zvfwTPPPINf//rXcCStgXLxxRdjx44deOutt3DppZfi2muvzTjOoVwMFxIAfQcFPbcmAPoLCna7HTWf+DK83/ghvN/4ITzLz5XlfuUICwwKMeUKCqV8PkzuyXDPXoKzZjlx1iwnah2FnVq1FirUbk0A9PXjgJxqHWacNcuJ1jYfWtt8ilVWiKhwkydPhsViQU9P4o8KPT09aG7O/p39ve99D9/5znfw0ksv4QMf+EDK351OJ2bNmoVly5Zh/fr1qKqqwvr162Utf6EMGRIABoVMyhUUlAgLilQaTCaY3fXSBksVXLN8snRBAgofhJuMQSGmHN2PgOLDgslsgbnGDYfNDIfNDJPJVPB9aE0lBgUttCaYTCY4bGZYrVZYrVbAAMcSkVHYbDYsXrwYmzZtkq6LRqPYtGkTli9fnvF2jz76KB566CG8+OKLOPvss/N6rGg0imAwWHKZS2HYkAAwKGRSjqCglHJWGsSwUGpgKLVVwYjjFMoRFIDiWhWA0lsWyklrs/LIrVJbFIhIm9atW4ef/exn2LBhA/bs2YMvfvGLGBkZwS233AIAuOmmmxLGNPzrv/4rvvGNb+DnP/852tvb0d3dje7ubgwPDwMARkZG8PWvfx1//etf0dHRgW3btuHTn/40urq68LGPfUy6n87OTuzYsQOdnZ2IRCLYsWMHduzYId2PEgw/u5FSs3WUY9YjPc94BCgzCwwg7wwokUgE4T1bpcvCaPoPmxgUiq10AqXPhGS02Y8KnfUIKHzmI2DiPSsm7OU7E5IQGsP44X04UTsdABCORAt+LC1Se7YjUSXNehSORNFzMoRqyxgAcJ0EIo35+Mc/jr6+Ptx3333o7u7GwoUL8eKLL0qDmTs7O2E2T/wG/5Of/AShUAjXXHNNwv2IMyhZLBbs3bsXGzZswPHjx9HQ0IAlS5bgz3/+M+bPny/tf99992HDhg3S5UWLFgEAXn31VVx00UWKPFdDrZOQjWJ92ssws4me11AQKdH6IleloemVnxd8m1LCAlDalKlGCgpA8V2qimmdKbVVKNfn5e9t1yZczme9BLnGIyjZVUYLQQEoXxcoJVtnko+JTO+/Fro+kb5peZ2Ejjf+G24NTIE6NDwC3wX/S1OvkZYU1N3oJz/5CT7wgQ9Io7+XL1+OP/7xj9LfA4EA1q5di4aGBtTW1uLqq69OGdzR2dmJNWvWoKamBk1NTfjKV76C8fFxeZ5NFux6lJ5eulSko2bFpdRuSKV2PzKSYkNPsd2PSgl4YjckPX9uiqGVX/G1ElaKVegie0REaiooJEybNg3f+c53sG3bNvztb3/DJZdcgo985CPYtWsXAODOO+/E7373Ozz33HN4/fXXcfToUVx11VXS7SORCNasWYNQKIS33noLGzZswNNPP4377rtP3meVQb/bp8iXHYNCbnqb9ShfpYSFUsYqMCjEFNsiU2pYAPQ1bkEOlRQUlPgVP1NAYHAgIq0qubtRfX09vvvd7+Kaa65BY2MjNm7cKPW72rt3L+bOnYstW7Zg2bJl+OMf/4jLL78cR48elfpu/fSnP8Xdd9+Nvr4+2Gy2tI8RDAYTRngPDQ2htbW1oO5GKeVW4IuGXY9y02K3oynvvS7b61psxZPdjyaUs/sRIM9iekDs85Pc3QjIXgmUe+pTpbuoqB3K4ykdWuTuclToccDuRlQqdjfKozzsbpRV0bMbRSIRPPPMMxgZGcHy5cuxbds2hMPhhBXk5syZg7a2Nmmp6i1btuDMM89MWKlu9erVGBoakloj0nnkkUfg8XikLXn5bK1gi0JuSk2NWmrlxeKbKctry1aF0umxVQHQd9e9fGmlNaEc5Kyk52otYGsCEWlRwSFh586dqK2thd1uxxe+8AX8+te/xrx589Dd3Q2bzYa6urqE/eOXqu7u7k67lLX4t0zuueeehOWyDx8+XGixU3CMQnp6DQpAcb9yWq1W2BZeIm1V884q+fUttQtSMRgUYopZpVlUSlgw1TXCsfITOH2aA6dPc6DaNnFqzdRaoMQCauWYDlUrQUFLrRpyqraZcfo0B5q8zWjyNsfWSiAiUkHBIWH27NnYsWMH3n77bXzxi1/EzTffjN27dytRNondbk9ZMlsOWvmyKwaDQnqFVhzMFgsszdOlzWSNLZMutiyU8joXGxYYFGJK6UZVSvetYsKCyVGDqplnYrLbisluK6os2RfA0toKy4XSyrlTD0Gh0FaCKosJk91W1NbWora2FmaLRaGSERFlV3BIsNlsmDVrFhYvXoxHHnkECxYswOOPP47m5maEQiEMDAwk7B+/VHVzc3PapazFv6lBqYHMbFHITStBIRc5wkKhiu1+xKAwoZSgAMjXDQmIhYL4TUnlWlytEoJCOccFsMsREWlNySsui8tGL168GFarNWGp6n379qGzs1Naqnr58uXYuXMnent7pX1efvlluN1uzJs3r9SiFI1dj9KrhKAgRKOIDh6XNiGSeTreUsJCOVsVGBQmlNL9SJRXWAiHEOnrwvBYBMNjEUT1t/xMUSohKJRbVBAwPBZBMBhAMBiAEDXGwnxEpD8Frbh8zz334LLLLkNbWxv8fj82btyI1157DX/605/g8Xhw6623Yt26daivr4fb7cbtt9+O5cuXY9myZQCAVatWYd68ebjxxhvx6KOPoru7G/feey/Wrl0Lu92uyBPMl1ZWFi2GEVZmViJQ5bNKaygUQnDLywXdr/h6FPOau2b5Cv51unH+tIIrukZcnRkoPgCJr18p61PEv2/JgS964hjGnv8R/nH+PUXfv17p+dyZj2Z7T9laZwBgJBDFPw6OcnYjIlJdQS0Jvb29uOmmmzB79mysWLECW7duxZ/+9Cd86EMfAgA89thjuPzyy3H11VfjggsuQHNzM55//nnp9haLBS+88AIsFguWL1+OT37yk7jpppvw4IMPyvusisSuR+lVQotCMYptWSimVYEtCjGlBp9SWxVEcnZFUkI5K7WANloUjBxUiIjUUPI6CWoQ59ktZZ2EbJT6suE6CrkpFaiyVWKmvPe6LI9RzGtfaEWzmEqukVoURHIEoFJaFdJxzfJpqiVBjV+itVBRVyKwFBu6Ch1nED9ehS0JVCquk5BHebhOQlYlj0kwIj2PUdA7NVoU5GrtKbZVoRDFDGhmi0J6coxXSKalil25WxMAbbQo6BkHLxORljAkZKDXoKD3bkeAel2PxLBQyntUTBekcnQ/MmpQ0FJY0HL3o3JSOyhooTWDiMgIGBKyYFBIpfegkMxiscDe5JM2kzU2gF6tsFAIBoUYubpTlRIWzJ56OC+6HJ66OrQ02GCryr5OgtExKMQUM92trcqElgYbPHV18NTVwcJ1EohIJQwJOeg1KChJz0EhufJQZbWiumWWtJltjoS/yxEWCsGgUBy5WhWA4sKCZdJkuNd8Ag0Nk+Hz2mG3auPUqkaXIxGDQnHsVjN8XjsaGiajoWEyqrjiMhGpRBvfZBqnx6Cg9CBjIwWFfJQSFgptVSi0+xGDwgQ5B2krMWaB9EfNoEVEpCaGhDzpMSgYRbm6HuWj1LBQCAaF4sjZqgAwLJRC760JagSEvhFH7p2IiMqAIaEAegsKRmlNAOQPCmLlIRgIYODvm6QtMjKY1+2LDQvFtCrki0EhkdxTv2YLC+FD/8Sxr34S7x/Yj/cP7IczelTWx9YztYNCsdRqQTjhB97a7ZeOpWAgoEo5iIgYEgqkt6CgND0HBTmUEhbyVWhQKCQsVEJQUCospAQGjS45U+ndZdQem1DM4GUiIi1gSCiCkkFB7rBQjgXQKj0oAMWFPKWCAlBYq4LRgwKg3IJy2VoXtLRmgtr02ppARFTJGBKKpOSXnl5bFcpFrqAg/sLY7/bJ8n4WE/IK6X6k5IBmBoXSMChom9qtCUREesSQUAK5KpfpyBkUjNaaACjToiC+n6W+p1pqVWBQSKRE96NctBAUtNDlSO3WBAYFIqLCMCTIQA9BwYjkCApmsxnV1dXSZjbHPhJyBIViWhXyxaBQGrnDgtlZizGrN+U4EmkhKFBh5HzPChmXYLUAHqcl47FERFQuPPvIROvjFIzYmgCUHhSsNhumTG2RNqvNJv1NjVYFBoXykisoOHzTMePb3097HInUDgpsTdBHa4K7Bpjvq8l6LBERlQNDgow4TkEdpQQF90juSmKpYUErQaEQlRYUytUFqdneo2pY0EJQ0BO1gx0RkZoYEmSmdFAoJSwYtTUBKM+sR6WEhULfu0IHNOeD6yhkp0ZYUKMSyqBARET5YEhQgJIDmgFlpko1gmKCQmRsGF1HDktbKBjMeRsttiowKMinmLAQOLgf733p8wUdRyI1AkMlB4VCuxyVO8gNjgCv/CNa1LFERCQnhgQFKd3/VulZdPSo4KAQjSAYDEqbkOeCWKW2KhSCQUEdhYSF6NgYxt7bW/BxlCw+MChdOe0Oeis6LGjVeBQ4OYKSjyUiolIxJChMi0FBaWp1ORKVc8E1BgXjU2PaVBHDgjaUuzWBqzQTkRYwJJRBObofFcLorQlA+YNCMe+v3oJCpauUsMDAkB4HMRNRpWFIKCO1p/+Lx6Agv2KDQqEDmvOhRFCo5NaEeGqHhXJgYCAiIoaEMtPSwmsMCgBgQl/Yi76wV5ZFi8rRqsCgoA0JYcFsgdlZC7PZrPjiV2oMcmZgiCnH624CYDGjLMcSEVE2PAOpQOnuR4Wo9KBgcbqxdI4LS+e40D59BkbMU2V5TL0FhUIwKCTqfKkbfn8zznju92ifPgPt02fA7nAo/rhqTZ9a6YFB6de93gXpfFSuY4mIKB2GBBXJHRSKHcSsRFBQe/ByKeSqBGklKOSDA5n1Sc3F2Yr5nGhlxWOtlIOISMsYElSmlVaFQhbv0qNixifIERaKeX/lDgqc8cj4uIpzeXEQMxFVAoYEjZArKJQ6JaqRg0I60eAYDhwLSFsgHE3ZR41WBb0EBYoZPdCJI098H319vejr68V4OFz2MqgdFPL5nGjhBxG5KPV6jwSAA8cCqh5LREQAQ4KmaKlVQQ566HIkjIfQczIsbeHx9AsXydWqUAg9BAW2JsQEu/uw444n4R8agn9oCJFIRJVy8Bfu8lLi9Q6EgZ6TYdWPJSIihgQN0kpQqLRWhXyUGhYYFIyt0vu6V2LXIyIio2JI0KhSWhXkXIW51KCgh9aEYpQaFAp5b+VeVZszHhmb2q0JlRYU1H69iYiUwpCgcVrogqTXFgVxobJCFyzLVzlbFfItP2c8IoAV13Lj601ERsSQoBN6DgpqtSaUa8VlPQYFDmRWXv1Qh7RVGj20JpT7fWnxjJT18YiISsWQoCNaaFXQG3vPoeyLqVW7sGiWU9qcjuI+EgwKMZXamuBZfAYu3vsSXPOWo7WtDY3h/oS/V2JQoOJMcgKLZjnR2taG1rY22Ox2tYtERBWKIUGH8qlUKtG9Ro+tCaKMQcFsRrVtYjObTEU/Rindj7QeFApRiUHB7LDDOcsHi70GVqsNMKeeWssdFLTaBaaSf+jIpzXBbAaqbWZYrTZYrTaYSjgnERGVgiFBp9RqVTBkUJCZ3oJCPtjtSB6V1KLALkdERPrGkEAF03NQSBZbJ2FiC0dSF1MrRjmCglzY7ah0oZ7j6Fz/HILHuxA83gVhPJRxX1ZMK1uu1oRgGHi/R8DQ0CCGhga5TgIRqYYhQefUarovNShoZTBzNDiGN/ZWSVsglH4xtWIoHRTY7Ug7RvZ34B+fvxdjh/di7PBeRINjWfcvV1DQapcjLZHjvZCz1WQ4AGx7X8Dxvj4c7+vjistEpBqGBAPQY1AA1A0LmXQNOmW9P6MFBXY7okLooctRqSrhORJRZWJIMDAlBi8nM+LKzF2DTlnDgtKVCC2PT6ik1oRCsduRdmhtOlROl0pEWlCldgFIHv1un6qVDrECWkzLQKTjgCaDRtegU7Yv6+6gt+CuH4W8p0FvuywDs12zfPDvz/2YjfOnoW/Xkbzus21VMzpf6i61aESaw1YEouKcdLVi3OVSuxjwm/wAgCVLlsBisWDt2rVYu3atyqXSDrYkkKz00LJQSGVazlaFYioUcs94pNb4BEqvHMGe4xKIiLLbunUrdu/ezYCQhCGBFFFoWFBrbILZXoNlp5mkzeVIv59egkI+2O1Ifs7ZM3DWxsdQ034GatrPgNlek/dtK7HbkRbXStBKlyOXAzi9xYEmrxdNXi+sVmtZy0VEJGJIMBAtfvFqvVXBVGVF62STtNmyfB/rISjINQ6Fsx0VxjZ5EqZe+2HYJnlhm+SFqYoVO5FRu+Qo9bxsVmCyx4raWhdqa10wWyyKPA4ZX2+oSe0ikM4xJJDitB4UCqFmUMhXObsdFTrbkZGDQikqsTWBOECZiLSNIYEqWzSCgRFB2vJZt0iucQqFBgU1xifkg9OiApGRUQzu2IPIqB+RUT8Q5QJYVJxIBBgJRBAMBhEMBiFE5VngkYwn248LRm3Bo/JiSDC4ckyDmo9ytSaIay/kuwZDZGwYL/9DkLaB0fwfS+tBQQ7sdpSfoR178Oezr4R/3zvw73sHkbHhgu+DrQmVKbk1wWkdwf+8P4quI4fRdeQwQqHMq3dT5RLPFzxvkJIYEohKoOWgwNYEEnGGo/ywwkVENIEhwWC0OHhZTeWYNUmNoJAvOVqS2JpQPqykVqYWz4i0ERWK5w1SCkMClY3SXY7UmkYVkG9Ac77kDIMcxExUOLbOEJHRMSQQyaTUoGCEbkdE6VTaIMpmew9DBBHpHkMCGV62FgaT1Y7Tp0Laqm2lPVa5g0K+ytXtqFJbExwtXsy461bYm9pgb2qDyWov+r7YdUDf4sNBMUHBVmXC1AYrPHV18NTVwcJ1EigJzxFULlVqF4Aqi8U3U9VuQcnMNgcW+Cay8gl/FGMlTibSNegsqW9xd9Cbd+Wi3+2T7QtDa++NnlS3T8O8f/2qdHl8ZBCRcFDFEpFe2a1mtHsdAGLLvwcCAUTymZuZiEhmbEkwoORuKFqZBrWSlHOMQjlXY2ZrQnlUwi+FlTLJArsdEZFeMSSQIRT6C7i955AyBYlTSlBQqw83xyYQ5S85ADAQEJGRsLuRgoqp6FXCl4yWurVERgbxn1smVjQVVCxLMiW6HQW97SUHJNcsH/z7sz9W4/xp6Nt1JO/7bFvVjM6Xuksql5pOvrkNv7fPw3l/feLUNVo6kmKa7T0VN4C4UEq1bhTy2vvHInhrt78ivguISNvYkqCA7qC36C9j8bal3AcVRojb5KbFbke5sDWhOEIkAjmPpErocmQkrNQTkdEwJMhIiYo9A4M89LqGghLvO8cmkJy6Bp3SVok43SkRGRVDgkzKUYk3UlhI/rXa6L9el6sCxdYEKqdKDQbFYJAgIr1hSJBBuSvuRgkKlabYChVbEyqX3rocZTvGed4iItIXhoQSqfXFZ4QvXC38Wm2yVKHRDSACNLoBq0bXLSrk/WZrQvlVeVxouHgZqmonoap2EkwW488JwVYEZVjMgLvGAkd1NRzV1TCb+TVNiSpl+mBSH88+OlZIxVGrayVYfDNVrYyaHU5cNN+Mj33QjIvmm+GuUfbxtFSxKtcxUQmtCa4zTsfylzeg9rSzUHvaWTA75Huf9daaoFdaqXjV2C04o70GU6e2YOrUFlhtJS4DT0RUJIaEEmjh1/xMZdDKF145yDkoubdftrvKqBzdjsr1/ufT5Ygqi5aCsNZwXAIR6QlDQpG0EBBIGYcN8j2eT1DI1ZqgViuPHlsTKgmDABGR8Rm/4yxRFpGxYWx8fWIxtRP+2L+He4BWBXNg16ATLZ6Rgm9XyAJr5aLE4mp6M/Q/e/GXcz+GBb/4KgAgEij8vSUCgJFgBP84OIIGa6xZMxQKqVwiIqpUJbUkfOc734HJZMIdd9whXRcIBLB27Vo0NDSgtrYWV199NXp6Eis1nZ2dWLNmDWpqatDU1ISvfOUrGB8fL6UoFY2tGiWIRtB9EtIWjjsMlW5R0MuvsWxNyC0yPIKBd/6ByOgQIqNDQDQi6/3LNS5BawFTK90itVIOAIhGgeGxKILBIILBIARBe6t3E1FlKDokbN26FU8++SQ+8IEPJFx/55134ne/+x2ee+45vP766zh69Ciuuuoq6e+RSARr1qxBKBTCW2+9hQ0bNuDpp5/GfffdV/yzKDNWyiuHFrseyT02QasDmEm/9BKAiYgos6K6Gw0PD+OGG27Az372M3zrW9+Srh8cHMT69euxceNGXHLJJQCAX/ziF5g7dy7++te/YtmyZXjppZewe/duvPLKK/B6vVi4cCEeeugh3H333XjggQdgK2AmB7vDAbvDAQAIBgIpfzebzQkzQ4Qy/Coj3gcAjIfDiERSfwW02+2AyRT7f9SEYDj1fqptZlRZYvtEogJGg9GUfWxVJtitE9nMP5b6WFVmoNo+MRfnSCCCaNLDmQDUVk/sYzFZ0pbbUuOWyh1unQvr4T0p+5icdTBZ7QAAIRKG4E8dvWtyOGFy1EqXowNpas9WG8zOSRP7+E8AkaQWIpMJZk/TxD6jQ0BoLPXx3JNhMseenxAahTDqT1NuD0xWB8x1XkSOHET0xLH0+7jqAADmOm/actutQINr4nLfIBA+9VKKXY5MJqB+4uljOAAEwyl3hUlOQJyxMBAGRlIPS7iqAdupT95w2Ilaa2rXlFzHSXfQi6nVfXkd3yNNs+Ee6QYARINjEMZTuy+MTz8TtpO9AAAhNAZhdCjh7xbfTEQHh2BynJr+KRxKeL3FAcwjfX5YJk2Wrg8f+mfC/TTOnwaTowbDY3bpusDB/YiOJR0DZgtq5szDnHlnxp7bsS6Mn+xH50vdCbt5Fp8BsyN2X6Ge4xhJ0+3JOXsGbJNjx2VkZBRDO1I/A44WL6rbJ0LMyTe3pexT5XHBdcbp0uWh/9mLyHDye2eCxemeuE3Xe0BwVLosBjJLtUs6UITxEKLB1M+A2V4DU5UVADBY7QVCwZR9LBYLqqzWiftPcx40mc0J51VLGIiknprgijufBMJRhMdTjyWnwwyzyYSGaOz4H05zfNc6gGl1AQAWRAUBI4HUB4svtyXiQWRkMPWOzBZYqic+dJGx4bQtNBanR/p/puM72+stBmmr1Qqz5dQ5JyogJNPrHQqFIEQnXoNmew+6g96E1zsYjiKU5vW22ewwmWPn72gkgnA49aQjW7lNJtjsE5/L5HKL8vm+rJhyCwJCQXnKHQ6FEC2g3P1un9TCaKmulfbLVG6iYhQVEtauXYs1a9Zg5cqVCSFh27ZtCIfDWLlypXTdnDlz0NbWhi1btmDZsmXYsmULzjzzTHi9E7+Grl69Gl/84hexa9cuLFq0KOXxxGZX0dBQrAIzdWoL3G43ouEQ3v3Ih9A4fxpcs3yw+GYi6G1HoHkumqdMlW73px1RDI0l/jrstAOfv2yiMvbO/ijGQ6mVtsVtTqnSZu4P4WB36onB57Wj3hV7Sf2jEew8NJqyT1OdFW1NsRNDVBDw1z3DKfu4aiyY2zYxF+eOAyMpgaPKYsKZ0yf22X+0Gb0DsQq52KWg3+1Dm68dVVWxMg0ODuCYownJvM3NcDpjX8aBQADHulL7jtfVTUJ9QwOA2Inx4PupMwpV19RgStzrfeRwZ0p/WrPZjPbpM6TLfb298PsTK6QA0Nbmk06yQ4ODOH68L7Xc3mY4ayfK3V1kuS+uD2Ceb+K1/J/3R1IqNlUWE86ZPVFh2X80gN6B1BPxWbOccNhix0n3yRD+vDf1I3ZGqwnTGmJfRP3DAjbtTPzVtcUzgkaPFT7vxBfIW7tTQ9KIuRnzWybK/co/ojg5MnEfQCxwnjPTBSBWAT5wNICedOWe7oR9dqzcPSdDOHAs9fg+fZoDk92x92R4LIJ/HEw8vpvtPfDU1aGhYSIkvH9gf8r9VFdXY9bUFuly15HDCZ9vIM1x0tcL/9AQ5iGx641r3nJY7LHXIHi8C2OH96Y8Xk37GbBNip1vIqN++Pe9k7KPvakN1S2nSZcH/r4ZQGKlrap2EmpPO0u67N+3Nda1KM5fL/kyLj25Xbq884e/h3Bgs3RuEt9R20WfgOVU4Oo5GcYbexMX6DjcA1zzQRPaJp/60WFEwMv/EFLGscxuCqJhcvbX226zY2rLxOt94uAIhscSj2+zCQnnk/ePBdB9MvU4Ob2lGtX22HHSOxDG/qOplZ/TWhxo9MTuKxQK4sjhwyn71Na64so9DQM7NgNJAddS7YLr9MXSZf8//5YaJsxmuE4/W7o4emQfuoOpi51Ma22TKu5+/xD6e3tT9qmbVA+Xy5W13M7aWkye3ChdPvj+gZRgbrPZ0NIyETi7uo6kVBKTX++D3QEII4nnr9/snIEvXCqgxhF7PuH3/o7xA7FjSwyb/W4f6iZNgssVC6ajwQh2HEj9XKYr96TBQwn7WZweuGZMvJZHu44gkKZyG//cThw/jsHBgZR9mrxNsNliR7vf70dfb+qPM3V1k+Byx8odCoVw5HBnyj5OZy0mN+Z6ve0JZTra1YVAIDV051Puxqam2A+CAIb9fvTmKHc4FMLhosudeJwcPdqFQPKPJcnlPnEcgwMT5RYDbsu0VrSI5R72o7enB832HvhDqd8bRIUoOCQ888wz2L59O7Zu3Zryt+7ubthsNtTV1SVc7/V60d3dLe0THxDEv4t/S+eRRx7BN7/5zbzLGOk4ADuAKncDgKkpf48fkOqwpvy56EGlWqHFwa1aptRaRSMhK5IrmvnoGnTC5Uy9Llm234rE/a1Jn/CBMVuOWxavO+iFZdyGBkXufUJ8FyqnuQraWP/OBJjNsCS/caeIg7ZdSD/GQzzfiO9bvoPm/ZHanK93f3hSmrOgcdUPdWhqjEGy7qAXp36sTrlePG/3hb2wVQHhqHITEIqvkRi6h5zNcGW7ARFVnIJCwuHDh/GlL30JL7/8MhxxTWBKu+eee7Bu3Trp8tDQEFpbW1P2k76IM8zd7nWNwWWL5tVfVu9BgfJjdzgwo0XhFdQ0Jt3xf1aa/eRQKYHV4nTDdfrZ+FDnn1P+1vlSN9pWNScEBVNkIqjVWMbQbO9Fd9CLFs9I1vNTrvNST9CbEkuVXiAwm/GoOhPoiRVfrYWFXOOJuoNe+DyDWDrThaVzEv9mcipThRdfI3uO/Yio8piEAqZO+M1vfoOPfvSjsFgmfruLRCIwmUwwm83405/+hJUrV+LkyZMJrQk+nw933HEH7rzzTtx333347//+b+zYsUP6+8GDBzFjxgxs3749bXejZENDQ/B4PNh+22fhstsACBjd/S4ASM36AGCZNRfjrXNjt3E2IxQM4lhgortN16Azr77mLZ4R1DrMMJ3q2x8aj2puTEIgFEU4krhTs70nYSxFZHw87SxSiX1Do2mn3LNUVUndloDyjgGJjEcwPp6rT2uGcluqUGXNXG67w5HQnHvgaAB9g+GiXm8AqHWYcXy0OrZPHmMSxiPAYGqvNFTbgJq4b+0TaVqNrZbECuDgCDCedMglH98jgVi5ksWPpRD7midXRuOP70x9zbMd32JYkPM4aQz3F9S3H9FIrG97EpPVDrNt4vHS9ZE3WaoSVlKO7yNvcXoSur3847Zvwr9zH0bfP4zgsVjXlrZVzdLgbc+yc2FpiZ2ngu56HLfHzkvxlcihoBO2U8WORIGBpGzQ4hnJ63xiMcdW8RWNBiMlj0kAgHAkikAodR+HzQSrJVYm8ThJDorxfbbdI92Kj0kYnnx6+frIZxiTkBwQMo1JcFVbEroi9fX1wn3gHQjhAIRTr1P8ZAP+hllSuY8HJ6V8LpvtPdrv288xCQWPSUgstw2mU+fB+HL7/X4sXHQWBgcH4Xa7U26nBrH+tuPvf5e696kp9hot0tRrpCUF/cyzYsUK7Ny5M+G6W265BXPmzMHdd9+N1tZWWK1WbNq0CVdffTUAYN++fejs7MTy5csBAMuXL8fDDz+M3t5eNDXFvhhffvlluN1uzJs3r6DCj+3dBUtyfwoA/v0dcM3yIbJ/D6rCIQS97XCODCLo9klfVuKvdqJcv94hzXeYSLyfsVCab94koXEBofHs0yOOR9N/2ccTkHsfACl9vdMJh8NAjoFOkfFxRHJMUxuNRtOeDFPKlM8+cpU7Mo5I8uDpLEaD0ZSAAOT/eg8Homkr9PH8qfXYFGOh2JZNOJI+PMQThNz7AJDGMsSL/0y0eEZKPr7FVgU5j5PIWO4nFw2OAjkOJyEcRCScfSchMp6+MpuGf+e+lMHP4qDrxvnTMPjXt+Ca1QUAsPpmot576qA49R3VHfTCbY87P/lTz0/J56xMLQyRPM4nQH77pAuGyQIhAQFkv69IJCJVdjK+ptFIXq93PvvUHo8NoM/WspDf+SSStpIWT0hzfKdrQcjn9QZild4xezXs6SaLQGK5XTiGEaQ+Vl7lFgTZPpfpKvzJZHu9WW6upUGKKSgkuFwunHHGGQnXOZ1ONDQ0SNffeuutWLduHerr6+F2u3H77bdj+fLlWLZsGQBg1apVmDdvHm688UY8+uij6O7uxr333ou1a9dKA4byNXluCwL70584paBwanwCANSf+rc/KSwAqX2CC1HIbcrZhalSunqUYjwcxvvHJk7CgXDuSlAupRxLWiU+l1KPX6Mek9HgGEK730Lfa28DAEbfTx30CiBldqZM56j4sADkd0xl+psWuk1q5X3X+ngFIHYOev9Y4NT4ISAyXofTkHmq4uTnpIXXmYiMQfYOo4899hjMZjOuvvpqBINBrF69Gj/+8Y+lv1ssFrzwwgv44he/iOXLl8PpdOLmm2/Ggw8+WNTjZZt7PT4oAMg7LChZudNqoKhUkUgk7SwucmBYSE/OCmP8NIBqEsZDiHQdgvng39C36wi8Z5rRmTojL4DUMQoApAGj8eeodOenYiS3CFU6rQeF8LiA7pNhdA3GQkKLR8h5nGv9ORGRPhU0JkErxD5tXY+tg7vaDn+audHjxQ9kjp9ZJH4aOSDxi1jLFbtCvuj5q1Ju5VwcT8vHVSHkqGzKeWxqISjYew4h0nEA/v0dUgBIbjmIF7+itPhjhziFM5D5/CTXMVTuwJDp/VbjvSt3hbqYc0x8IBdfu1yvVSHPK75M/J4wJo5JyI1jErJTbn61MrC0TgcQ+2LNNKMREGtREINEpOPARMtCzyEAEyfe+BOlln9x6xp0GqayWWlaPCOaPrbKSc5wpoVfUYPedlh8M+Ga5UPj/GlonD8tIQgk63ypWwoRYqjw7++QzlGZzk/pjp/DPRNbvsp9HqnkleqLqYTHnyvE167f7ct6rNcPdeQVupLfi+6gt6LfHyJKT9chAYi1DIi/vBUaFoDsQUHLWNGUT7O9p+zvu1gB4PsoHy0EBQBSUACQMygASAgKfbuOJJyjks9P+Sg2LFTSjw9qtF4Uco5Jt298JT7XsV7s82NQIKJ4ug4JwaY2qUk+vhtRtqAAIKVVoZBf7LRAq+XSOzEslDs06C0syFlWuSslageFoLc9oUVBlE9QiA8L6YICUJ5zU7bQkPw3OUKFGu+ZWsdJPucVcR+1ggIRkUjXIeGkK7agWrqgkEvyOIZMv9hpofIW/6uzFspjJDa7Ha2tbdIWP291uUODHt5jLZdNlKtLhhIs1S645i6Hc/75cM1djvH2MxO6HgG5gwKQOIYh/hxl7zmU9UeMdCs0F9KakE2uQFAprQ9yyXYuabb3JJyTlsyyw+nI/DVdbFDIVoZswZ3Bg6iyqLMcpozEWR+C3nbYew7B4puJSMcBuGb5UoJA364jCbMhxc9+ZPHNhL3nkBQ4mu09qjS96qESZiQmkylhYS9xwbx04r9YlT425DgO5Ky86fG4FCtQZanYmM2wOGoQW2LJNrEyHSZaNuNnM8pFPFf593fAhYkfQLLNYtPqlS8YkLLSfb+I55fkc5LZlLjOi1amkyUi49N1S4JI/NJMblFI1+1I7PcrSh6jAJS32xFbCfRJjXEMhSr12CrXcal04FKja8mQs1nqdhSvkNaE+PNUvt2O4lsU0rUuaJXa3cTUUGhLZXzol6PbEVsTiCgXXYeE3lBTwqwPQP5djzIFBaW7HTEUaEs0EoF/aEjaojlWyUymh7AgSj72ko8/Ix+bSndBEsZDCJ44ioO9AnpOhhGNRNDv9qXMeAQo2+0IiIUDPQWEctN6IBHPSeNH/ongiaOos/RJf8sUFHKRq2Kv9deOiOSl65AgyhQUgMTWhOSF1zI1/6f7xa4URq14GUE4HEZfX6+0hcPFLayml6CQrNKOTaXCQjQ4hrHOPfjbAQEHjgVweLg+7X7ZFn9MJ3lqVJFef83NVrFlBTRGPCeF3/0zxjr3pJyT0gWFfF67Qo+ZTO8V3yeiymGIkACkDwrZuh2J4r+EgcSpUeXodlQplS+iUpR7/I+SLQtiJa476E1pTRAp3e2o3PQyeFlvFdz49zpeute7mKCg1x83iKg8DBMSgPyCQrpf8jIFBaD4bkda+XWW814rjwsR6ZcYFuSuPKarxKXrdlTIGgqFdjsqJ7keW8lKvN4Cgvg9lKkFID6MFqKQFgWe14gqm6FCAiBvUIgfn1DIasxaCAekPIYDY5EjLCTPLhTfmiCKX5EZyG8NBWAiKMjd2qk1SlTm9RYQROL3ULO9J+17K05Nm67bkb3nUMaWiPigwNYEIsrEcCEBmKi8yRkUAOQdFPTS9E7FYTgwtlJaF+IHDMefB+K7HQGp56FcrQoMCsXfj14DQi7xgTRdUBCDaaawkG9Q4LmOqHIZMiSI5AwK9UMdBbUoMCjog9VqRVOTV9qsVmvW/eX+wkyeBlFPsyXJTYuVkXwDg9leg5r2+Vh6mglLTzPB5Zj4W/zzynQeyqdVQctBoZDzXb7vc6mVe72GA/GcZF/xcdhXfBwmp0d6f3MtoJf82oorgAPpwwKDAhFlY+iQIFKrRYG0z2yxoNblkjazxVK2x8618ippS7awYKqywjapGW2TTWibbIItTdZMPg+JYxTStSpkYpSgkK9CKvrxgU6vAQGYOCdZZy2AddYCmKyxxJnrnJDcchUvvrsbgwIR5cvwIUHuMQqFtCiwNcF45Pi1P9/bV2Krgh4qIoVURpMHl+Za+FHvQUEJya93pq1S5HpPM02LyqBARIUyfEgA1B3MzKCgbUJUQDAYlDYhKuR920K6CZUSLiotKOhNv9uHwWovgsEgBkYEDIwIiERT94s/D4ljFNK1Kug5KPB8VzrxnBT19yPq74cQHQeQ+J2T6/smn6CQLN9ZjzIFBb2u3UFEmVVESAAYFCi9UCiIriOHpS0UCpZ0f0qNMaikoKDHXyvF42h3xzB2dwxjIO5UIM5AAyQOes/WqlBKUACUWzFeLnp8j8tFPJaG9v8dwTd/DWHoRMLfCw1/6YJC0NuedTBzrvNNuvev3+1jUCAymIoJCQCDAulbJXU/0nslMtN0laJ8WhWKDQriAFXx3FTuFgWe6+QTP/A4Xvx7mvy+pls/IV13rEytCgwKRPLp7+/HDTfcALfbjbq6Otx6660YHh7OeptAIIC1a9eioaEBtbW1uPrqq9HTM/F5fPrpp2EymdJuvb29AIBPfepTaf8+f/78gspfUSEBYFAg/auUoGBEhbQq6L3rEckv09iBTIt35goKuR6nlKDAsEAE3HDDDdi1axdefvllvPDCC3jjjTfwuc99Lutt7rzzTvzud7/Dc889h9dffx1Hjx7FVVddJf394x//OI4dO5awrV69GhdeeCGampoAAI8//njC3w8fPoz6+np87GMfK6j8JkEQ8u+ErRFDQ0PweDx46e0jcNa6i7oP8eQnnsjsPYekL1cxCIjBIJ74pS0GCotvpvTF3u/2JZw0M4UCNb6oWbE0Jr3/4p6L3o7b5Pcj2w8D8eeB+OdZP9Qh/QAR6TgA//4O6VwkBoJ0xCDROH8aXLN8RZ2b5JLPOU5v761akivb6Sr7uc4DycdXvsTHKuT+kx+nkgaVa43f78fCRWdhcHAQbndxdSW5ifW3HX//O1wul9rFOfUaLcLhw4cTXiO73Q673V7Sfe/Zswfz5s3D1q1bcfbZZwMAXnzxRXz4wx/GkSNHMHXq1JTbDA4OorGxERs3bsQ111wDANi7dy/mzp2LLVu2YNmyZSm36evrQ0tLC9avX48bb7wxbVl+85vf4KqrrsLBgwfh8+X/may4lgRRuVoU+MsdKcnoFS29haBC3o9srQpytSio1fUonxCit/dWLcmV7HS/0hfyi38xlfZiWxQADmim9HrDjegONam+9YYbAQCtra3weDzS9sgjj5T8HLds2YK6ujopIADAypUrYTab8fbbb6e9zbZt2xAOh7Fy5Urpujlz5qCtrQ1btmxJe5t///d/R01NjRQq0lm/fj1WrlxZUEAAKjgkAPkFhXQKCQpA6hcyux1ph8VigcdTJ22WMq6TIJdixipkGmBt9NChlPjjaGqDFbYqU963zTRWQc6uR4D2BzNTTLpzUrqKfTFBIdOsR5nkOzWqeP/JGBRILw4fPozBwUFpu+eee0q+z+7ubqn7j6iqqgr19fXo7k7fKtzd3Q2bzYa6urqE671eb8bbrF+/Htdffz2qq6vT/v3o0aP44x//iM985jMFP4eKDglA7qCQrjUBYFAwiiqrFQ2TJ0tbVY4Vl7WskPUX5LifctHDL87xx1G71wG7Nf2p9XDPxBYvuVUBkL9FAch//FS56OG9LbdM56RMQaGQijyQOmg+l1KDQrr7IdIat9udsGXravS1r30t48Bhcdu7d29Zyr1lyxbs2bMHt956a8Z9NmzYgLq6Olx55ZUF33/FhwSAQYGMJVslv5DKv5ZaF/RamcxWCU8OCkD6ee6V6nqUTxlLwfOb/DJV6osNCtnus9j7T/6sxt8/gwIZwV133YU9e/Zk3WbMmIHm5mZptiHR+Pg4+vv70dyc/vzd3NyMUCiEgYGBhOt7enrS3ubf/u3fsHDhQixevDjt/QmCgJ///Oe48cYbYbPZCn6uDAmnGD0o6LWSRcWTsyuRFsKCEY/hcgcFUbpzE2lTf6g+r/0YFIjKo7GxEXPmzMm62Ww2LF++HAMDA9i2bZt0282bNyMajWLp0qVp73vx4sWwWq3YtGmTdN2+ffvQ2dmJ5cuXJ+w7PDyMX/3qV1lbEV5//XXs378/6z7ZMCTEMXpQoFTBQADvH9gvbcFAQO0iaZraYSG+X7WWJB9H/rFI2v1a0xS9kKAgnpPk7nqkZrcjLb6fahKPpS27/diy259yLGWr0CdX5OUe0MygQJS/uXPn4tJLL8VnP/tZvPPOO3jzzTdx22234brrrpNmNurq6sKcOXPwzjvvAAA8Hg9uvfVWrFu3Dq+++iq2bduGW265BcuXL0+Z2ejZZ5/F+Pg4PvnJT2Ysw/r167F06VKcccYZRT0HhoQkpQQF8YsYYFAwOrEvcKbN6NTuilQJFct0QUGkl6DA81rxhFNbOoXMUMSgQKSeX/7yl5gzZw5WrFiBD3/4w/jgBz+Ip556Svp7OBzGvn37MDo6Kl332GOP4fLLL8fVV1+NCy64AM3NzXj++edT7nv9+vW46qqrUgY5iwYHB/Ff//VfRbciABW8TkIumdZRyLaGgkicpxzIvo4CkPolquQveuxeUDg5v8iMPl+4mhV3rR3b+axJILYgpGtdiCeeE+LPSUquoyB3xT7fc5rW3kO1xR9DmV6bTOencqylEP8Yha6jEH//Rj8vqknL6yS89I5y9bdCjAwPYdU50zT1GmkJWxIyyNSikG0NBZFWWxQq4dfXUinZImD0lgY1WxfEbkh6OsZbvbkDAoCUtRSM2vVIT+9dOeTzOWKLAhEpSdchocnWm3unEhgxKFB65a68GzksAKmDpsspPjCoUfFMfkw5Kt3J5wQ9dj2iwuXz+cl3KlPx/rJhUCCieLoOCeVgtKDAX+sSmcxmNEUHUVVbh6raOsBc3sXUjB4WRFppZVAqPJjMZjgc1XA4quGuscCiwJlVr4OZCzmX8fyUeCw5HNUwmfM7mMSwkKtyz6BARPliSMiD0YICTbDZbKg9bbG0WaprVSmH0bsixVN7hiRRpvBQTIiw2WyY2tKCqS0tOKO9BjV2ZcJmuq5HADQfFApR6UEh/lia2tJS1NzmuTAoEFE+GBLyZKSgUOlfwlpXKbMmaSEoZJMrRBQSJuSsbOux61Gh5zEjn6O08jlmUCCiXHQfEspZ0TBSUCB9MlqA0HpQyEd30Jv3gldyqYTBzEYJCuk+p1r53DIoEFE2ug8J5WaUoGCUL+BShYJB+PdtlbbI2LDaRSqaVioehTJCUBgNRvCPgyPSNhpMv5ianOLPCXroelTMOUzP56l8P4vJ+4SCQXQdOSJtoWBQqSICYFAgoswYEoqgVlCQm56/gOUiCAIio0PShqjylbty0FtY0HtQiESB4bGotEWiqfsovViZHEEBQFFBId2q0XLR43mq0M9e/P6CICAYDEhbOZYy0mpQICJ1MSQUSY6gkO3LWBT/pczxCVQoPQUFKo6cQSF+5fhCgkKrl0FBpNfPnBaDgl5fSyKjMERIUOtXyFKDgkgLQUFPX8JUGL20Kui9NSEfSrUOaqHrUT5BoZTzlx7OU6V8zrTwGdVaUGCrApG6DBES1JQcFAAo3vWIayhQMfQSFqg4XYPOhAHNanQ9KmQF6WJp9TxllM+WloICEanLMCFBzV8hkxc3AgoPClroegRU6EnabJnYKoCWw4KeWxPMpolNTXIFhWK7HpWDUc9T4ufSZDJJmxoYFIgIMFBIUFu2VVAB/XQ9AvTRrC8Xu8OBugUXSZvF6VG7SGWj1aCgR65qC5bNdUmbq1rdwJlPUGicP03Rwcz5lK8UWjpPyflZsjscmD5jprTZHQ7Z7rsQDApEZKiQoPavkHJ0Pcr0ZRz/3MoRFACeqCsBg0L5levX91xBQaRWi4Jc5y6jnafcI925dyoTBgWiymaokABoKygU0/UISP+rHQAGBVKE1rofqf0ZNhI5WxS02vUI4HlKSQwKRJXLcCEBUL+SoWRQiMegULrxcBijh/dJWzQ4pnaRVKOloKA3gXAU7x8LSFsgnGahBJXk06KgVtcjOc9bRjlPRYNjON7XJ23j4bDaRdJkUNDajxtERmTIkAAYNyhk63qkJC31/5VTJBJB6PgRaRPGQ2oXSVX84i1OeFxA98mwtIXHlV8AqxBa7nqk96Ag9+dFGA+h6sg/MDQ0iKGhQUQi2ljgUWtBIX4tBZ6ziJRh2JAAGDcoAKldj1o8I4q2JoiMGBQoldpfump/dpWmRtccLQ9m1ntQqBRaCwqZ7ouI5GHokACoX9koV1AAytuqQMbHL13jkavrUaZzEwAGBYPTUlBIvn+es4jkZfiQAFRWUCgXfglXBn7pGo+SXY/Erh9aGMxM8kh3DmBQIKoMFRESAAYFJTAoVAa1+vyq/ZlVUjm6Bubz+FrresTWBO3pd/sYFIgqVMWEBED9SgeDgvbYbHa45i6TNku1S+0iaRa/eDNzOsxYNNMpbU6H9k+tcrYoAAwKcrFUu+CauwzTWtswrbUNNptd7SJJQSH5HKDloEBEpdP+N5nMkmcHKjejBgU9fhkDgMlsgsXhlDaYK+4jURAGhQldg05pOzFajWq7WdrMJpPaxcuLXC0KDAoyMpthcThhs9lgs9lgMmvrWNJLUOC5iqh0FVsjYlCQn+6+jKko5fzyVbv1L1l8MDAKpQczayEoUOmyVcAZFIiMqWJDAqCNCjWDgrqikQhCJ45KW6Wvk5CvSvvyzRUMgmHgUK+A3oEwegfCCEe0s5haPoze9UhP5yVhPITQiaPwDw3BPzSEqEbWSQAYFIgqTUWHBEAbFWoGBfWEw2GMdu6RtkpecblQ5fryVbs1IZ+K6nAA2HpAwP6jAew/GkAglH0xNS3O+iNn1yM5F1yrtKAQDY5htHMP+vp60dfXi7AGVlyOx6BAVDkqPiQA2qhQMyiQHlVKUFCCuAhi/JZ8vZIOp3lJ5ep6JKqEoFCJA2YZFIgqA0PCKVqoUDMokB7xy1c+yRVnJYNCq1fZoFBJLQoMCgwKREbEkBBHCxVqBgXSo3J8+ao1M1k5ftVX6/FbM3w8k4OCeF4qpkUhn6CQ7/NjUNAWBgUiY2NISKKFCjWDAumR0bselasbUK7HL5f4oCBSqusRkH+rAoOCtjAoEBkXQ0Iaaq6lIHdQsPccYlDIwmq1osY3X9rM9hq1i6Rr5QwKah7PyWMJah3ARfMiOK3FgdNaHHDYlJvbvpxhRc5Zj3K1KAAMCgBgttegxjcfjU1eNDZ5YbVaZSqZchgUiIyJISELIwQFAAwKWZgtFtjqm6XNVKX9L2StK/c6CmoHBgCYVhdAo8cqbVZLeU6t5QgMcs16BOTuegQUFhTkCAtKLAYpdtEqhqnKClt9M1wuF1wuF8wWi6xlUwqDApHxMCTkYJSgALDrEZVP/VBH2b+AtRIY1KJkYJCrRQGQNyjEl61USrUqVFIXJAYFImNhSMiDEYICux6lJ0QFRMaGpQ1RfS2CpXVqfQHHB4ZyhIeoIGA0EEEoFEQoFMSkqhOKPVY+0k2tWqp8WhQA/QcFJcNCPpXfwWqvdByFQkEI0exrbmgNgwKRcZgEQdDXGQjA0NAQPB4Pdvx9O1wuV9keV63KrXjyE09k9p5DiHQcgH9/7LIYCNIRv7hds3yw+GZKYUM8QapZYdfiL778slCOln9RletzkO6Y1lIolqMyLVbem+09Wc9J8YOWk4lBonH+tLTnJvE1K7S8SrSiaPE8pQfx59Lkz36uz0T8a57POTn+/gu571zl1Du/34+Fi87C4OAg3G632sUBMFF/e+mdI3DWql+mkeEhrDpnmqZeIy0pqCXhgQcegMlkStjmzJkj/T0QCGDt2rVoaGhAbW0trr76avT0JH4gOzs7sWbNGtTU1KCpqQlf+cpXMD4+Ls+zUZgWWhREbFFQRvwvfvlslD81uiDlK1PLgxytEFrqBiVHy0I5ux4VWla5xinEU6p1wejYokCkf1WF3mD+/Pl45ZVXJu6gauIu7rzzTvz+97/Hc889B4/Hg9tuuw1XXXUV3nzzTQBAJBLBmjVr0NzcjLfeegvHjh3DTTfdBKvVim9/+9syPB3lNdt7VPnC6A560WzvQb/bh3rEfrmz+GbChVgAaJw/LWOLQt+uI2icPw3+/R1wIRYw7D2HUI/YCVKt5wRMPC+9KiQo8AsoRnwd8n3tCt1fKXIcp9nuo5yfwfjKdzGV6q5BJ1o8I7Eyu2PvUdDbDjsAsW23b9cRtK1qztii0PlSN9pWNUvnLRcAO2KBo36oA3DHXpMWz0jBZRTLJ6fk90fP561y6Xf7pM9v/VBHwmc41/dO/HdD/P1kEn//hdx3rnISVbKCuhs98MAD+M1vfoMdO3ak/G1wcBCNjY3YuHEjrrnmGgDA3r17MXfuXGzZsgXLli3DH//4R1x++eU4evQovN7YB/inP/0p7r77bvT19cFms6V93GAwiGAwKF0eGhpCa2tr2bsbxWPXI/nwyzaGIaJ4Rv1SL9dnsthf37Xc9Si5jErjeSwzdj1SB7sb5cbuRtkVPHD5vffew9SpUzFjxgzccMMN6OzsBABs27YN4XAYK1eulPadM2cO2trasGXLFgDAli1bcOaZZ0oBAQBWr16NoaEh7Nq1K+NjPvLII/B4PNLW2tpaaLENw4hdj9iUH5OrWxO7QWUmdmXKtOlVuQZeF9sNSctdj5LLqDSxW1L8RjHsekSkTwWFhKVLl+Lpp5/Giy++iJ/85Cc4ePAgzj//fPj9fnR3d8Nms6Guri7hNl6vF93dsS+B7u7uhIAg/l38Wyb33HMPBgcHpe3w4cOFFFsRWujLb6R1FNT6QrVYLDA5p0lbf6RZk1/2hVb8KzUsZJIrRJQaKCwWCzyeOmmzKDS3vdKhQYmgIOesR6UEBSXGK+SS7lyS65xSrmOp3BgUiPSnoDEJl112mfT/D3zgA1i6dCl8Ph9+9atfobq6WvbCiex2O+x2u2L3Xywt9OUXxygAkPoDFzNGAZjoi6n2uItyqrJa0dLskC4Pj40iNB5J2S+f10OL3Q3ELzx+2eWv0Neq3+1DldWKhsmTpesCwQAikdTjSG7iMSfn51WsiBdSoZZzjAIA6dwk1xiF5LIC5euGlEn8exZ/7lDrWCoHjlEg0peS1kmoq6vD6aefjv3796O5uRmhUAgDAwMJ+/T09KC5OXbib25uTpntSLws7qM3WmlRELHrkXqK+dWwXNiyoJz6oQ64RxIrvu6R7rJ2f1KidaGYmYWA0lsU+nYdUaxFIbm8arQupKOV80Q5sEWBSD9KCgnDw8M4cOAApkyZgsWLF8NqtWLTpk3S3/ft24fOzk4sX74cALB8+XLs3LkTvb290j4vv/wy3G435s2bV0pRVKWVoBD0tqf0B2bXI23QSnBgUNCGcgQGORRbGZej6xEAxYOCSCuBwYjnvnQYFIj0oaDZjb785S/jiiuugM/nw9GjR3H//fdjx44d2L17NxobG/HFL34Rf/jDH/D000/D7Xbj9ttvBwC89dZbAGJToC5cuBBTp07Fo48+iu7ubtx44434zGc+U9AUqGotppaLFhYmqx/qkL5Qi531CIh9sVfKrEc9oYnnp9bSgmoEMn7pycxkmvh/EQeSEgFOrs9uIZXn+Mp7plmPxPNRrlmPss3IVuqsR/lQq0uSFrsuKoGzHimLsxvlxtmNsiuoJeHIkSP4xCc+gdmzZ+Paa69FQ0MD/vrXv6KxsREA8Nhjj+Hyyy/H1VdfjQsuuADNzc14/vnnpdtbLBa88MILsFgsWL58OT75yU/ipptuwoMPPijvs1KJlloUAA5mzpcgAEcGnKoFBACqtDDo6ctOFwRhYiuCEi0LcrUqFDL7UXylXS9djzJRc8BzJWCLApG2FdSSoBVabUkQaaVFAShtHQVAGy0KgLJBZVvvjLTXqz2wsVzhjF962mOEVoV8WhSA/NZRULtFIVk5zg2V0poAsEVBKWxJyI0tCdmVNCaB0tNKiwKQOme5HlsUAHUCitr9lMv1nPXwZVdplBqrIAc5WxRE+bQoAKljFADkbFE4rMBpSwvjF4yELQpE2sSQoBAtVKgZFOSjVqWgXF2QGBS0xyhBIZ9ZjxrnTysqKIhdtLIFhVavMkEBYFiQE4MCkfawu5HCtNBFh12PMjOZzTg00i5dHhgF0iyTIDH6QEZ+6RXJbIGleuJcFBnzA1F55rY3QtcjYOKzo1bXo8M9scCglPhzg7huRDEsZsDpsKDe2g8ACIZCEKJRWcqoB+x6JB8tdzd6+pWTqHGqX6bRkSF8auUknH766bBYLFi7di3Wrl2rdrE0gyGhDLRQoWZQSM/ucKClZaJlZfO7UZzwZ95fzXEKDAraZXF64Dr9bOmy/59/Q2RkULb7r5SgoJdZj4qVz/nDVW3BmdNrpMtdXUcQDASULJbmMCjIgyEhNzEkaOk10hJ2NyoDLXTRYdej0qk9kJljFEhOaqylIGfXIzVnPSqWFoOLFrHrEZE2MCSUiRYq1AwKxSlk+kejYFCoDFoMCgDyCgoivQUFyg+DApH6GBLKSAsVagaFRKFgEJvfjUrb4GjsejEYaK2SwXUUtCkyNgz/P/8mbZGxYbWLVHZqBIVMsx7pOSiMBiPYeXAUXV1H0NV1BKFgUO0iqYZBgUhdDAn/f3t3Ht5GeeAP/CvJluw4lhwntmQ7tmPnNg0QnDhJQ2HBIQHSLbT8oJS0y5HCLptsy9F2YVuOpS20tF0KWxaaXQjsQ+mydBfasksgBBq2IeQwDQ25yOkrkezEsew4sWRL8/tDnvGMNLqvGen7eZ55wNb1avJ6Zr7zXhmWqsWNEpHLQSHRi2dBEFBkHJI2+0TtBYNsYlCIkd8H35Bb2lI1aDkTUvm3m62goMeuR+H4/MDgOR88w8PwDA9Dh8MGU0qPQYEoVzAkZAmDQurlyyqlmcaTX+7Te1AQ5UpQoPC0HhT6rPVsTaCcwZCQRQwKqZcPQSEb31E8+VHu0nJQAGJbcE3rLQrZ/ny9Cj72aDkoiJ/BoEC5gCEhyxgUUi8fgkK2MChQOgQHhT5rfUKzHgHQfFCgxOgxKBDpHUOCBmTqojp4dVAGhQCjYXyj6HjyC8NoHN90KlutCYAyKIjyteuR0QAYDAYYDDwoyektKBDpnX7PZjkmExfV4omRQWGcpagIi+eWSltpsSkDJUtetk9IDApKphIbyi64TNpMJbZsFylhWgkKudj1KJZ1EkqLTVg8txQNjdPR0DgdlqKiDJRMP6IdexgUiFKHIUFDMjnzUXBQiDZwMJxcCAqUGI5TyIxs7GMtB4V4uh4B+m5RIHXyY49a338GBaLUYEjQoHReWMtPimp3tRgUKF4MCrlJy0FBpNcWBUqNSDcqGBSIkseQoFHZCAr52PVodGQER5zD0jY84s9wyRKnpRNRvrcq+D3ncLbrAE6e7MXZrgPwe85lu0gpkc2/21S2KOgpKAyP+HHEOYyTJ3tx8mQvRkdGsl0k3WJQIEoOQ4KGZSsohDspiyfmcNSCAgBNBwWfzwdn34i0jYzm98JFycrXoCCMeuHt7cKA2w2nxwRh1JvtIqVMqv5uE7kQz8V1FKKNSxgZFeDsG8GA240Btxs+n34W5tMiBgWixDEkaFw6xylE6nqkdlIWxRMULK5jmmpRoPTL16CQDlrZl6k6DqUrKADsekThMSgQJYYhQSe0EhQSbVHQSlDItQO2Vr9Pvnc/SsV31+L+y9bfbr52PaLUYVAgih9Dgo5oJSgA0H3XI8qMfA8LuSjZv91YLsI7VT4iVS0KQGxBgWEh9zAoEMWHIUFn0tX9KJ+6HuXawVoP3ycfw0Iy31fr+yrZ41C0C/Bae2JBQTwepSIoxFLORMWyXgIlr3ygnQuuESWBIUGntBAUcmEws9lswYXTJ0hbSRH/JNJJ6xe/iTIVl6J07mJMra3D1No6mM2WhN9LT/sonX+/yQSFVHU9AjLf/aikyIgLp09ISV3Kd+HWUmBQIIoNr4h0LN0X2OnqeiQ/GQPZDQoGowETLCZpMxoMWStLMvR04snJVgWjEaaiEpjNZpjNZhiMgXoU7/fU435Jd1BQk8muR0B6gkK41gSjIXBMCq5LlBwGBaL4MSToXKpP0MEnw3wICrlCbyceMSzo8cI4HrF8P73vh0T+fpO98M6VrkeUXvK/KwYFovgwJFCIfAgK4gHa7/NhcHBA2kZ8+llMTY1eTzzywBC86YEw6oW374RUj/xBc9sHfx89fsdoshH00xkUxPFT8vEXmQgKIz6/4pgUXJcofgwKRIkxCIKgu9WjBgYGYLPZsOtPH6G0tDTbxdGEdBxsgsNB8AnSYXFJB0SL65g05mDwULsUCNSIJ+7SGfUw1U+Hxz4NwPgBOFMHzmQuarR+cM+XlpngE3625coFfzLi/dtIxSBe8dikdkySH4/kC6sFE4NExXlTVY9N8u+VyoHHasEjX/5+M01+vAj+W41Wb+X/JrEcd+TvH897p9Lg4CAunH8R3G43rFZrWj4jXuL12wvvnMaEkuyX6ezQAG5ZNklT+0hL2JJAYeVDi0KixLuL4bZsE1fOznW5djc+F7BFgbSKLQpE8WFIyBGZWEMBSH1QAKDboBCJVsKDGBby4SSU7bDAoDIul4ICoL4YJIOCPuk1KIjTuWqt9ZRyG0MCRZXOoDB4qD1rLQrZuHDOZmiQB4ZcDg2ZDgvZDid6l8qL7XQGBSD0ojIVZQ8+nur9Boke6DUoyN8zWlhweuzo8VbG9H5E4TAk5JB0nlzY9Sg92MqQPunqipSLg47TIVt/u1rsetTpUl/zgbJH70Eh+H2J0oEhgWKWi12PCgsLUVFpl7bCwsK0fVY0WggMuSqRWZPimW1JS/VIS3ItKADxdz2Sh4NYwgLrUuboKSiE+wwGBUonhgSKS7q7HgGZDQpGkwmlpaXSZjSZ0vI58crWxVWuty7IRZp2Nd4WAq3WI71I52JlWggK8WBdyiw9BYVY3pcolRgSKG7JBoVwYSFbQUGrsj1TUr6EBUqvbNZhLQQFtVWj2fVIW7QcFGJ9fwYFSgeGhByTqRNyMkEBgGaCguAX4PV6pE3wa2/ZkGyHo2TDQvCA6VwMHnqoR/lOfkwCkPWgEA7rUnZoNSgk8v6xvi9RNAwJlLBcCAperwddnZ3S5vV6UvbeqaSFA34iF/nhnptrYUEv9UjL0jWlqPy4JB6TPPZpmmhRUCsj61L26D0oBJe50twT9X2JImFIoKTkQlDQCy1951gu8mMJAbkWFkhdtuuuWlAQpTMoBB8fa+3jWzj8e8iuSBf46QgK8ZzTgt9f7TPY7YhSiSGBkpauoAAg7UGBJ+TkqHUlSuTCn2GB0i34uCS2KADpCwoAF13TI/F8pXbBneqgIP+cWMahBR8nGRQonRgSKC263SVh797FGhTkaygAbFEAcv/7MijkrljqbrovqOUDmTPR9ShSq0Ik/DvIvlQFhVglM/ORWqsCgwKlAkNCDsrGhWS4EyCDQurl+vdlqwKlk1qLgiiVQSHeVoXgclH2pSIoxDOdcqSgoHbjLdpxctJgZ8yfTaSGIYFSRo9BwVxggNVmkzYT5yTXDD0FBZPJxHqkI/IWBSA9XY8A9W4k0VoVzAUGVJUXsi5phHiXXgtBAVAPC/KyEqUSQwKllN6CgqXQiClTKqStQCerm+Z6a4JIL60KBYWFuqxHWpSpPvzhuh4ByQcF8fgUb6tCt7sElkIjGhxFrEsak66gIJ7H5NSCgtrYv+CwG/y+lp6OiGUjioYhgVJOb0FBr/Lpu6YiKKRigDUlR2t1Nl2DmQEk3KrQO1SUxDeidEpHUPDYp0mBUi7WMQWRggJRshgSKC0YFCjVEjkJxhIGGBy0J5MzAqWr61E8rQqkH+FaBGL994zUJShcUIi0/gagvrI4APg6j8ZUJqJwDIIg6G45x4GBAdhsNuz600coLS3NdnE0SSsXOuEG48kPduIBsHygHRbXMekOnBgExGAgJ560xUBhqp8undjFg2Ss+6DJu3P8B8GveEwPfTy18m+dSemYXSTRzxIZDAbp/3V4WFUV693MeP5OYv23yfRAXvGYFHw8AgI3IwYPtUvHIjEQqBGDhNoxCkDY45T8+xqNwEUVgQu8XKlL+SJS/ZYfS4L/tuQBQawjInldifR3UWMbgsPikuru6f17UXP3P8HtdsNqtcbxLdJHvH574Z3TmFCS/TKdHRrALcsmaWofaQlbEigrwg28SmWLQswE//gWRH7nj7QjWstANgiCIG16Jdb3eOt9Ov5GMr2+QDpaFACotioAkfeZ3w/d16V8FemmQqRBxvJgEKnrUbS/i3y8aUTpw5BAaRXrlH9iM6l4Yk5FUEhlc34iF06Zkq/dFjIxxiBf9m0q6nasr49nn+ZCUIh0nALyp47lk2SCgljf1MYpqL1vp+xXYv3VQws46QNDAqVdPEFBlMqgkOqTsJYDA6VGOuqNVqWyHufC30Qqg4JaqwIwfpwKd4e4Mz+qXk5LNCgAoWEBUI5PkNeVWjYcUBoxJFBaBc/pHO45Ir0NZmZYyB1iMMiXcACk56I+le+ZrQXGUhUUgNBWBfE4BYwvvBZc53jhl/tiWd9AHhaA0KAQbhpdp8ceOH/WNqS20JR3GBJylBYudOI5wUdbBRVIT1AwGQFTiU3aYExs4SK2Luhbsn8vBqMRlqIiaTMYtX9oTWddzYW/g0hBAUDcQSHcwmtyNbYhFJiAyaXQVV0idfEcV+LtIhRtxiN2OaJU4NGH0iKRO4DR7t4BkYOCKJ6gMMFiQumsBdJmKp4Yd7mDZSMsaCEU5jOz2YyamqnSZjabs12kiPRyEZ/pMQnB1Oagl7dwAog5KADKWZHEoBDcmjCjYhiXf8aom7pEiQseQxXLhb3a3264vxNPZV1iBSMaw5BAKSN2LUpFF4Hgk7Ka4KAgnyo1uEkfyPw6CvnUspDKf/ts4IwgqRep7us11Aa3cMZy00KN2rTOgH73C4Wv7/H+m8bTAhBtBW+iZDEkUMLkF4apujgM1+1IbXwCEP3kHG3V03JzX0rKHUmuhYXgf/fgf7Noj2tVviyklkt1MdU6XaGDhmPpdiSKpzVB3u0oeBAz6VOq/g2jBQX554QLCk6PHadLa1NSHspfDAkUs0xd+KmdlEXhgoJaWJB3OwJCgwIAeL1eDH66U9p8586k8JsopfsiIN13IZP5d9dTaEgkLHi9XnR3d0mb1+tVvFe+BJBgerrwlYeDaEEBSF23I0A529FEOLH76NmQukTaFunCPtaZjmJ9PyC2oECUrIJsF4C0SSsXck6PXToAeuzTYHEdg6l+Onzth1E6o17RrShcUCidUQ9f+2GY6qfD4joGj30aygfa0Weth+D3wzfkztj3EQ/sehpUlo66kKr3TOcJUX7yjhbABL8fnuHhsK+X/45dSvSh0xV+lqE+a730t2yqn45SBI41FedNDduVSI34XPlNj0n9RyFY/fAMh3sVUSiHxZWXNyIovdiSQAC0d6c3UrcjQL1FIRq1FoVs3enUSxckLdSFSDJVX+NtEdDiitB6FS4IilNApiooqgUCtYWq0t3tCNBXCwyNy2Zrgpoeb2XEx4miYUggzV4Ihut2FG9QkLc2yINC8GqW2ZDqi4FU3qXWar1Qk+lwG2ml52RDRDpl4+IzFZ8pDwRqwSDSY6kUrdtR8LSosa6hAChnO9LCsYm0IdFuR6QNfX19WLVqFaxWK8rKyrB69WqcORO5W/Nf//VfY/r06SguLkZFRQWuueYa7N+/X/GcHTt2oLW1FWVlZZg0aRJWrFiBjz/+WHr82LFjMBgMIduHH34YV/kZEvKcXi4EYwkKkcLC4KF2xRiF4FaFbOJdw9TJZmtYvOMOshEU9NTNLRmJhoZae3wLmYWbWEE+TiqWoCBf50Vt/QTKDYlexDMo6NeqVauwZ88ebNy4EW+88Qbef/993HHHHRFf09zcjPXr12Pfvn146623IAgCli9fDp/PBwA4c+YMrrzyStTV1WHbtm344x//iNLSUqxYsQIjIyOK93rnnXdw4sQJaWtubo6r/AZBEIT4vnL2DQwMwGazYdefPkJpaWm2i6NZ8VyEaDksyE/y4gFQPCjKL/LlJ1d564EaMVCY6mfA45CtSin4ky1uwlJ5AZeKC1At14l4ZWIwn9Ew/v/+OI6qmT6pZyOUhqvbmQ5KqR4LE+545Gs/LB2D5GMUggcsy4lhouIztSid1Yjey28GAOjwFE0xiGfMk1y0v1/xb83psePgcR9uuWIS3G43rFZrYgVNMfH67YV3TmNCSfbLdHZoALcsm4TOzk7FPrJYLLBYLEm99759+9DU1IQdO3ZgwYIFAIANGzbg6quvRldXF6qrq2N6nz//+c+44IILcOjQIUyfPh07d+7EwoUL0dHRgdrawAxWu3fvxvnnn4+DBw9ixowZOHbsGBoaGvCnP/0JF154YcLfgQOXCUD4iygtXCh2u0uk8okDP8UDYfnYc+QDmgGEDGoOJj5mc9Sj7MLLxn//6c6MDmSWEwdTpwIHsSmJ9ThdYaG02IR5DROkn3cfPYvBc760fBYlTv7vn8yxTTwmqR2PxGNR8O2r3j1dqFvuCBsUOt52om65A0P+MlR9/RGIyzp2d3eFDIon/UumVSFSUEjleSSdunsMKJpgiP7ENBs+GyiDeLEteuihh/Dwww8n9d5bt25FWVmZFBAAYNmyZTAajdi2bRu++MUvRn2PoaEhrF+/Hg0NDVIZZ8+ejcmTJ+O5557DP/zDP8Dn8+G5557D3LlzMW3aNMXrv/CFL2B4eBizZs3Cd77zHXzhC1+I6zswJFBE8VxUpXtaVHlQAKAeFsb+qzb7UfCsIxXnTcXZLicmQDu0FBTE/a2FoJgq6Q4LehDtIiNfpCowBB+Pgo9F8rAQS1CY0zQv4bJQfoglKDgtvEkUD7WWhGQ5nU5UVioHjxcUFKC8vBxOZ/hWRQD4l3/5F3znO9/B0NAQZs+ejY0bN0qrr5eWluIPf/gDrr32Wnz/+98HAMycORNvvfUWCgoCl/UTJ07Ez372MyxduhRGoxH/9V//hWuvvRavv/56XEGBISGHZfpucrwXXvGemIMv8KKFBbWgINe7pwvV02bFVQa9SUUdYFjIPVoJClpp8UqkJTXc8Qhj1xmRwgIQvuuRa0cfZkQrMOWF4L8NeetD8N+wvOutxz4NDosLBzEl7WXMFVarNeYuWffddx9+/OMfR3zOvn37kirPqlWrcMUVV+DEiRP46U9/ihtuuAFbtmxBUVERzp07h9WrV2Pp0qX49a9/DZ/Ph5/+9KdYuXIlduzYgeLiYkyZMgX33HOP9H4LFy7E8ePH8ZOf/IQhgfQh0gVaLCdn8T1C7uQNtAfWVED0oODr68W5rk+ln/3e3GvWT9WFWKruvOYiz4gfR53DKC0YxOBoKTwjsY1tyeYgQylYayAsaFXwMUqt3oc7HsnDgrwLkrieAqAeFM4d7cSeex6F/R9uBwCMBg1EpPwV6zorFtcxQAddjvTq3nvvxS233BLxOY2NjXA4HOjp6VH8fnR0FH19fXA4Ik9oYLPZYLPZMHPmTCxevBiTJk3Ca6+9hq985St4+eWXcezYMWzduhVGY2D+oZdffhmTJk3Cb3/7W9x4442q77lo0SJs3Lgx9i+KBGY36u7uxle/+lVMnjwZxcXFmDdvHnbu3Ck9LggCHnzwQVRVVaG4uBjLli3DwYMHFe+RyJRQlBi9znQQ66wk8plsxNll1GYcCce1dTc8vZ3SJox4ki98EtLVl9RhcaW0LkSbkjLfeEcFnOgbwYDbDWGoC97R6INNtfK32Wetz2ofZq3sh1hEq+vBxyNgfD0F8XgUbT2F4eM9OPrUixhwuzHgdkszmhABytYFPYw9yEUVFRWYM2dOxM1sNmPJkiXo7+9HW1ub9Np3330Xfr8fixYtivnzBEGAIAjweALXJ2fPnoXRaITBMD6mQ/zZ7w9/g2rXrl2oqqqK67vGFRJOnz6NpUuXorCwEG+++Sb27t2Ln/3sZ5g0aZL0nMcffxxPPfUUnn32WWzbtg0lJSVYsWIFhmUDrxKZEoryU6wXn8En5+CDp3z+cq3KxAE/nRdkegoO6S5ftP2sxQvjdIWFWN4z2/tDDNFqm5podSfajYvg9RQovyS7mGaklmFOoasdc+fOxZVXXonbb78d27dvx5YtW7B27VrceOON0sxG3d3dmDNnDrZv3w4AOHLkCB577DG0tbWho6MDH3zwAa6//noUFxfj6quvBgBcccUVOH36NNasWYN9+/Zhz549uPXWW1FQUIDLLgtMxPLiiy/i17/+Nfbv34/9+/fj0UcfxfPPP4+/+7u/i+s7xNXd6Mc//jFqa2uxfv166XcNDePTRwqCgJ///Of43ve+h2uuuQYA8O///u+w2+14/fXXceONN2Lfvn3YsGGDYkqof/7nf8bVV1+Nn/70p6pTQnk8HilBAYEptADAUlQES1FR4Dkqsz8YjUYUjg30AACvx6M6nZz4HkCgaVftzo3FYgHGUptvdBSjo6MhzyksLITRZArsC78fXq835DmmggJpYEmmyl1f5EaftxzeUT88I6HvU2w2osA09t38As56QpOoucAAS+F4plSbuaXACBRbTNLPQ8O+kKkgDQAmFo8/Z9jrx4hPCOkSM7FoPCVPLzyLwydDhxcPDQFFZqCyHBj1Ae6zygHOfdZ6TC60oKjMDp+rG4WjFiBo8DIAGEwFMBaNdxnwnTsD+IO/nwEm2XRtfs85CKMq/74TSgFDYD8JI174vedCnmO0TIChoHDsjXzoLZwc+j6mAhQUpqeeiBc+4fb3iM+PYW/keuIXBAwNR68nNQi9mDIZgQlj9aR3qAjuIWB07K3kF1+l8noy4seIyt35kiIjjAYDeoeK4BkBzsh2k/heiZRbrX7Lyw0AQx4f1G7aDBmrx8qvXm6HxQWzxSLtb7/PFzK3NRB8PBHg9Ya2cplMJhQUFko/q9UTg9EoDXgDoteToaLZ0vEk+ELGVFwKjDVvC6Ne+D3R6rf6XS21cgcfA4L391mPDz6Vt4unngCB+l1mCO3mE25/y/9e5PVksh84Nah8j04X0FAN2CYAw/7AMaWkYKwLknW8a5epfgZsjnoUTnOi/2gvGidPwZFffxJSJrPZAoMxQ/XEYIBZNljT6/VCUPn3i+W8kzflFgR4PfGVW/qbMppQ4esHAAyUODDi9areBZbXb8+IX7WV0lQ8EcaywN+O3z0gfU61tTjkuZRZv/rVr7B27Vq0trbCaDTiuuuuw1NPPSU9PjIyggMHDuDs2bMAgKKiIvzf//0ffv7zn+P06dOw2+245JJL8MEHH0iDoOfMmYPf//73+Md//EcsWbIERqMR8+fPx4YNGxQtBd///vfR3t6OgoICzJkzB6+88gr+3//7f3GVP651EpqamrBixQp0dXVh8+bNqKmpwd/+7d/i9tsDfSePHDmC6dOnh8zLeumll+LCCy/Ek08+ieeffx733nsvTp8+LT0+OjqKoqIivPrqq6pTQj388MP4x3/8x5Dfi3P/jvoEfOvpM+g62gsAmNpQgbq6ErTMBi6eO37iH/7jf0M4c1qRtA0TSlHytfuln8+274W370TI3a+aukbp5HCiz4ujTuUJBADsjiqUlARODMPDwzjeHXpBWjZpEsrLAxeFgiDg6JHQ1F88YQKqqsbDUldnR0jgMJlMqJ82HtB6e1wYHAw6YwGoq58mhRK3ux+nTp4MeY7d4UBJycTI5S6bhPLJyZfbaDRiWkOjrNw9GBwcCC13Xb10kB1wu3HyZG9oue0OlExMvtzDBdVoqh8PIR8fGQq5kCwwGdAye6L086Hjw+jpDz2BXDSjBEXmQD1xnvbiyAlPyN3ISrsDE8fK7RkeRneUcgPAkcOHQp5TXFyMquoa6eeurs6QE1bI/u7tweBA6P6uratHobi/B9w42Ru6vxXl9gyjuyu03LayMkyePD5YLpZyd3d1Km4CxFfuOhQWmqOU246JE0vHyu1Bd1dnQuUuKi5GdZRy/+++Rqz9/PgxZ9PHfvSdHX9cDC4LZ1ikgOc5dRz+HW9Kz5EW+mv9MgpnXAAA8A/2wbPlNWkRQSAQgm22MkyeMl7urXsHIT+gOywuFBUVo7pGXu4ueDzKiy2DwYCGxvGueSd7ezEwEDoV8NTaOilwDA4MoLe3J+Q5FZV2af0ar9eDrk6V/R1UbtX9XVSE6prx1j+1qUBDyn2yFwPuKOUeHEBvT2LlttpsmDKlQvr56JHDIYHLUlSEmhSUe+/slbj04zdQet5MAMDO/SP40S/HyySe5776Fz5UlgX+dv1n+nH2V49LzxG7WwqfuRgTps5WlPvEsHLWleBpfI93dyl6AIgap48Pqz518iTc7v6Q50ytrYXZHLhwHxwcRG9PaItMRUUlSscGinq9XnR1doQ8x2q1YUpFlP1tKULN1PH9fby7G8PDoeE1lnLXTK2VZrU5MziInijlHvF60ZlwuS2omTo+7ebx490YPhel3KdOwt0fpdxnBtHjCpR7cHAQF86/SJPrJPzw5X4UTch+mYbPDuC7N5Vpah9pSVzdjY4cOYJnnnlGmmrpzjvvxDe+8Q28+OKLACBN6WS3K5vC7Ha79FgiU0Ldf//9cLvd0tYZdPA2GIC6uhJMbQj8UXYd7UVHxxB6+5Xv450cuICN1E+9YCBwEc3BfJQqWpi9hTJj4Qxly8mkMGs9jgrjrUTewolSn3VA/fgkjN1ljXeFcNa93FExOVBnThzqxIlDndJ57uTAeF0SCgoV9UcMnAWDfSHvl+0uXkSkfXF1N/L7/ViwYAEeffRRAMD8+fPxySef4Nlnn8XNN9+clgIC0Ve+M0LAtfOOoM3eiM66EnR0BE7Uvb3DgGwW/CPmebDOnILygXZpWjpYwjfHyeesNxn8SGCcN2mc2WxBtT35+ZDD4Yk4P5jNFlTaK1HvU7Yu1ZWewvBwUZhXBZz1FWNIbLkcm53LAsBQMt5yZTCH1tHygXb4bGXJFp00RqpLPe/DMHF8vF+VyYl7bq/Af75TIbWadx3tRa8LQF0gjfqMhYqZ3TD2X1N9k+pnaWUKWiLSprhCQlVVFZqalAebuXPn4r/+678AQJrSyeVyKfpFuVwuqftRMlNCBTv7P8+jYEIxIAiodHXg8/XTcWLepXDOsqPbXYLePuDJV8/Cbg+cpM2WYjhK7XBa7HDMHJtj2GDA6KfjszP5oVwBUAwKLucJxZgEhyV0TELfqZPo7w90o1LrEwkEmv/OqTQpygV3QVHrF+nz+RTPCTdNXnC51fSdOoX+sSbMsOU+M4hzKk248Zbb7/fHVm6XU1Zu9dk9+vpOod8dpdyDkcttMBpQZB7v89nb2wMrBlFqCe2F1909frFXODIChyW0XKd6LFHLfbrvlNTUnWi5gbGuM/L9rTIGJtb93SPf32FmU4ml3GcGB1W7KEQqt9rYndjriUvq2x++3H1wj3XlSKbc3gjlNhgNY90rAhfz3j1bIAyeRmGJDU2jXulmg3hB9mn3OUUf+WHv+IWaeHwqHClAmXhs8vvhk3U1EhU496PbM/57uyX0O3i8xqByh/ahFgQhxnriUvTZVtN/uk/qqiQED0oac+bMIIY9UeqJ16sst0rf70yXe+jMGUUXM7Xeut7gcqvU70jllupSeaBO9P/389jz5DuYMsuI8xfUoelzrdi7rAUffhq4Ifabjf3YdcwEu70Ik8sKUGJpQZN9fH0GAPA5j8HjPhUoT7kDk4bcUp0Ub2T0euzYfXS8b9xEhJYbQIz7uyf6/u4/jYGxrqZh9/fQGXi80fZ39ONJrOXu7Ymz3GF6a8dWbm/U43fs5XbBMDZWKFy5iRIRV0hYunQpDhw4oPjdp59+ivr6wMGmoaEBDocDmzZtkkLBwMAAtm3bhjvvvBMAFFNCNTc3A0hsSigAMJgL4He2j8+Bf6gdle2HUd7SCkdlPdrQCJQXoVN2M9c3NpgMtrGwMHaAjNa9KLjvsZqRkREgypzWvtHRsBfrIr/frzpAK6RMsTwn38vtG4XPF7nccl6vN+yBX2vl1ub+9kWdsjGV5Va7cAyW6XIDgDB4Gv5+F8z9Lnjs06SbDeKdW/mYF9U1J2x2wAN0ojxwjDIB5edCxxwJIx6U9ByIOIOQkMr9rRIwgqVqf7PcAabPnI/SkhdxcL0TB9fvQPPd7ZjfegyOeZcGWs9dJTjaMYSjJ4ZQV1eCWnsJYGsZvxGGQDc1vycQAHxjrefBq7tXFLoAWYYON1hRc/tbEPRZT1JabvWAQZSsuELC3Xffjc9+9rN49NFHccMNN2D79u1Yt24d1q1bByAwGOuuu+7CD37wA8ycORMNDQ144IEHUF1djWuvvRaAckqoZ599FiMjIyFTQsXKOX0pZpV8JC1Qg7H/lmITquqno3mmeOeuRAoKnS6g1i47MduUC9+I5KFB/H/OSZx7/D6fYsA378JQIsR6VDwYONAII6En9uCgIKqxDYUEBflqvsGLc4nvpfbepH9iXfrT2P24iWVzMOuapeh4O9Bi3/bETtTt6ULjNYfRvOw21NgC57iOjqGxrrYl6HSVoNbeiOax4X/lqp/EekNEkcUVEhYuXIjXXnsN999/Px555BE0NDTg5z//OVatWiU95zvf+Q6GhoZwxx13oL+/HxdffDE2bNiAItn0Y9GmhIpVj7cS9WP9L8Wg0Ds2xWUpgCoA5fZpgK0FwUEBGA8L4ok40pLnAA+ouWhkZER15g2ieIj1qOrg5pieHzwNrVpQAELDgvg6tdWSeTMjN4h16alfGXHiUCcWXnERHv5cK5rvbkfbE4HuZ4GVmregEUB5SyswK3COGw8KAFACoDEwo5Y1fGs5z2tEFE5cIQEAPv/5z+Pzn/982McNBgMeeeQRPPLII2GfU15ejpdffjnej1bVZ60PLHuPQDAAoAgKFgCOmfVjLQYliq5H8lYFBoX8leqZrFg/8pdHZdyAXPDxQ96qEC4oAOGPUbF8Bulb19Fe7F3Wgvmtx9AMqAYFx7J61NobIQYFAFKrAlASOP8xKBBRnHQ/XY+4mqW4kiUAVJw3Fb17ujB4qB2+9sOoOrgZDosLNbYh1AZN5CCGBvkKmXJqB05Oj0qRJLuaJuW24Lohv+iXLybXGZQF1I5R4S7sWP/0b2pDBapmBObR//DTEpyYeSlKZ9QrVmjueNuJI7/dgqqDm9FceSTk/NbRMSTVI7WV6OVYZ4gomO5DAqAMCmWtl0tL3qcqKKjhAZWiYR3JP33WemmLJJagEHycAhgU8ol87Z+OjiG09TSiZ9ltaLxmKZrvXiA9r+NtJ/o3vSsFhaULA3VEnCa1o2MIH346Xm8YFIgoVjkREoDwLQoAkg4KbIalRLDe5LdoYSG4xclhcaV8XQ1e9OnX4lmB2YqAwAV/pytwXhptaQ1pUWh7YqcUFGpsQ1LAEIMCoJxFi0GBiGIR95gELZL314U1MJNDWevl8LUfDpr1aGwgsxUxjVGIhv049a+wsBCmGQuln/tPnw5Z3yGWkybrQX4rLCxE2aRJOOcLTC/pGTgu1SO1sU1ywQOOHRYXYLPHNT4h2meQfoh1qQICZlT7UFYyDX/eNz5zEWa1wLGsHjPrp6PivHelMQptT+xEM4D5rQBm3RB4LuQtCgi0MtgC9SZSneG5jYiAHAkJigF/tvGgIJ/1CFBOj4qZl6oGBTmehHOf0WRCaen43JIDAwMhc2DzZEnRiPVInDxh9+kKlOC49Hgsxw/5hZkYFIAw6yiMieUYxQs+fZEfk0oBTKvyo39IOcVprb0RzTMDM/jJBzNHCgpTGyrGznXjQYGIKBJdh4RKcw+GghY46HaXoBuNqLHZpVUnQ4NC4OCqFhQizXjEoEBEsYpltrRg8lYFceYjsVVTHhbkrZ08RuW22ZOO45S9GsFrIQDxBQUg8oxHFtcxxexcDJdEpOuQAEBxIg0+iYqrTlYhtqAAhM4oAoSehAEeQHOF4BcUq1UK/nDrjBKFJ9ajUcEEAPCPrdody5SlauQLr4nvoxYWRNHWUCD9EOtSwVA/UGiGdfA4amw2iBf3YlDo6ACwsBE1dXbMb40eFKJNjeqxT2NQICIF3YeESAJBwQ7MvDSmoNDtLlEMaI40NoEHztzg9XrQ1dmR7WKQzon1KNrMaPHc6VdrVQAQ9pik1nJB+iPWpcp3ngcAFNRPR5N9ELC1oNOlDIhbdowNbp51Q9qCAhHlr5yY3Ug8MQbPMd7pClzoOz12nJh5qTQrhEht1qNg8UyLSkQUTSwX7xbXMen/xbAQy+xHPE7lHl/7YVhcx+CwuFBrhzTjERAYayBOcfqnuhtQ1nq5YnpUcdaj+R3/icWzhqTpUYHxNRTEc6RYL4MDAlukiPKXrkPCpMFO6f+Dg4LYIhB8EGRQIKJsSzQoAOCA0zwhTuUtKh9olxZME4OCOM1prEFBvo4CoAwKANfcICKlnOpuFDw+odY+3qKgaFZtaUUpNkXtekREFI94LuAjjR0Qu33IBc9+FO6mRaLjIEh7TPXT4Ws/rPhd4EbW+PgE5XoIkbseVQGoqbOjri6061ENZzwioiC6DgmnS2ulKQdF6QoKarMdERElK9I4hUgDSRkUcpsYFMUWBYvrGMoBwAo4KoEa2YQbAGIOCpHGKCyeFX7GIw5iJso/uu5uFI5a1yOx+1EyXY/k3Y7Y9Sg3mEwmWG02aTOZTNkuEulQsvVI7eJLvDhTa1EQRQoCPEbpk1iXzBVTIXzmYsAyQfG4/N9/8awh6dw2taECAOIaoyAf3yC+Lnh8Qrhub0SU+3IyJADqg5lF8qBgqp+eUFCg3FBQWIgpUyqkraCwMNtFIh1KRT2KdJc2UlCIhEFBf8S6NGHqbEyYOhujNTNDnlM+0K44xy1dWBJywd/tLsGJmZcyKBBRwnTd3SiacGsoALFNj1punwZYodr1CABXrSSilArueiS/QAvX9ShStyOAXY9ygdqUpOUD7ZDWEpW6Ho13IdqyYyipdRTkXY/k9dBjn8auR0R5ImdbEkSxtCicmHmpaotCwfZN0h2bSHOTExHFQuyqGOm4EXzxFWnOevn0qNE+l/RpoMQR9jH5v3+NbShkitQtO1Lb9QgYb9ViiwJR7svplgSRvEUBgMrKzJFaFDahvKU1bIsCBzPrm2d4GEePjM8eIghccZniJ9ajSYMdOF1ap1qPgi/UxZ/Vjh1qLQpAaGsCwBaFXCPWJZenEnZLDwRBgCfC4HbF6twqLQrSwmkRBjM33TQNmNWi+jq1FgWxHrJFgSi35XxLgki+EJHaOINEWxS63SXS60mfBEGQNqJECYIA+P1x16NwrQuRBjOHwxaF3CAIAvwCcGK4UvpdpIvx8oF2xTkquEUh2mDmcy8/jybPdrYoEJFC3oQEUTqCgognYCJK5qIpOCzEepc2nsXWeJzSl3jqQ6aCgohBgSi35V1IANITFLgqMxFFEk9XHwYFCidVQaH4ptsSDgryFi0GBaLclZchAYgtKKito8CgQESRpKqPNoMCiWLpigYoL9gdFheaK4+EveDfa2lhUCCiiPI2JADRg0K4BdcYFHKHwWCApahI2gwGQ7aLRDok1qOhytkR61G8A4cZFPKPWJdKi00oLTbBFOYsHW7MSvAFu8PiYlAgooTkdUgAGBTyndliQU3NVGkzWyzZLhLpUDz1SD6JQiwYFPKLWJfmNUzAvIYJmGAJv3p3LEFBPE8xKBBRvPI+JAAMCkSUefGEBfmAZgYFkotlFqxMBAXOekSUexgSxjAoEFE2xBsWAAaFfFJu7ov6b9dnrY95QHO6goIcgwJRbsiLxdRiJV90TXXBNStQ3tKKUmzigms5wuv14nh3l+Jnoniloh6Jx4doF+visUS8MIt2ISZf8IoLrmlfMnUpeBE+kXzxM1gRWCBNdcG1FjTdFG7BNURfcE32eVxwjUj/2JIQhC0K+UXw+zE8PCxtgt+f7SKRDqWyHsXSshDvOIVUtCjwrnBmJFuX1FoVgscppLtFgV2PiHIDQ4IKBgUiyjatBYVwd6lJmxgUiChZDAlhMCgQUbZpNSjwgk8fglsVGBSIKB4MCREwKBBRuogX29EunLQWFNTeh7Qt0sBiBgUiCochIQoGBSJKB/ldXj0FBfn784JPPyJdtDMoEJEahoQYMCjkLktRERqnz5A2S1FRtotEOpRMPYpl+kqAQSFfpPOYpHbRbnEdY1AgIlUMCTFiUCCibGNQoGQFX7QDYFAgIlUMCXFgUCCibGNQoGQxKBBRLBgS4sSgkFtGR0Zw6uRJaRsdGcl2kUiHMl2PGBRyV6bqEoMCEUXDkJAABoXc4fP54Hb3S5vP58t2kUiHslGPGBRyUybrEoMCEUXCkJAgBgUiyiS1iygGBUqWWlAAOOsRETEkJIVBgYgyJdyKxwwKlCzOekREahgSksSgQESZwqBA6cIWBSIKxpCQAgwKRJQpDAqULlxwjYjkGBJShEFBn8xmC6bW1kqb2WzJdpFIh7JRjxgUclO2j0kMCkQkKsh2AXKJw+KC02NHjW1IusAHxi72bXbACpS3tKIUmzB4KHDwGzzUjlJsQnlLK2AFYLOHvLbGNgSnxx71JE3xMxgNipOwwWjIYmlIrzJdj8TWhPKB9pCLffE4FI78WBKuVUJO/hnxvHfw+6uVlUJp4Zgk/rt57NOk8Qke+7TAv6UVWDzLDqAEHR2BG1uB/5YAs1rQdBPQjEBAwNh/mwE03QRgVovq6xbPGjs/hvlM1pvc09k5BEuxKdvFgOdcoC4uXLgQJpMJa9aswZo1a7JcKu1gS0KKsUWBiDJBvHASw4IcWxQoWWxRoHyyY8cO7N27lwEhCENCGjAo6Iff58Pg4KC0+blOAiUgW/Uo0gU4g4I+aemYxKBAlN8YEtKEQUEfRkZG0NvjkrYRrrhMCchmPWJQyC1aOyYxKBDlL4aENGJQIKJMYFCgdGJQIMpPDAlpxqBARJnAoEDpxKBAlH8YEjKAQYGIMoFBgdKJQYEovzAkZAiDAhFlAoMCpRODAlH+YEjIIAYF7SksLERFRaW0FRYWZrtIpENaq0cMCvqltbqkhkGBKD8wJGQYg4K2GE0mlFqt0mY0ZX9xF9IfLdYjBgV90mJdUsOgQJT7GBKygEGBiDKBQYHSiUGBKLcxJGQJg4I2CH4BXq9X2gS/kO0ikQ5puR4xKOiLluuSGgYFotzFkJBFDArZ5/V60NXZIW1eryfbRSId0no9YlDQD63XJTUMCkS5iSEhyxgUiCgTGBQonRgUiHIPQ4IGMCgQUSYwKFA6MSgQ5RaGBI1gUCCiTGBQoHRiUCDKHQwJGsKgQESZ0GetD3uRz6BAyWJQIMoNDAkaw6CQWSaTCVarTdpMGp2TnLRNr/WIQUF79FqXgjEoEOkfQ4IGMShkTkFhIaZUVEhbgQZXNyXty8V6pOWgkMsXfblUlxgUiPSNIUGjGBSIKNu0GhSC34u0i0GBSL8YEjSMQYGIso1BgZLFoECkT3GFhGnTpsFgMIRsa9asAQAMDw9jzZo1mDx5MiZOnIjrrrsOLpfyJNDR0YGVK1diwoQJqKysxLe//W2Mjo6m7hvlGAaF9PIMD+PokcPS5hkeznaRSIdyvR4xKGROrtYlBgUi/YkrJOzYsQMnTpyQto0bNwIArr/+egDA3Xffjd///vd49dVXsXnzZhw/fhxf+tKXpNf7fD6sXLkSXq8XH3zwAV588UW88MILePDBB1P4lXIPg0J6CYIgbUSJyvV6xKCQOblalxgUiPQlrpBQUVEBh8MhbW+88QamT5+OSy+9FG63G8899xz+6Z/+CZdffjmam5uxfv16fPDBB/jwww8BAG+//Tb27t2Ll156CRdeeCGuuuoqfP/738fTTz8Nr9ebli+YKxgUiCiT1C6itBwUSB8YFIj0I+ExCV6vFy+99BJuu+02GAwGtLW1YWRkBMuWLZOeM2fOHNTV1WHr1q0AgK1bt2LevHmw28cP9itWrMDAwAD27NkT9rM8Hg8GBgYUWz5iUCCiTFKbSUirQYEXfPrBoECkDwmHhNdffx39/f245ZZbAABOpxNmsxllZWWK59ntdjidTuk58oAgPi4+Fs5jjz0Gm80mbbW1tYkWW/cYFIgoE/S0MjNbFfSHQYFI+xIOCc899xyuuuoqVFdXp7I8qu6//3643W5p6+zsTPtnahmDQuoYDAZYLEXSZjAYsl0k0qF8qEdaDgqxfoYe5ENdEjEoEGlbQiGhvb0d77zzDr7+9a9Lv3M4HPB6vejv71c81+VyweFwSM8Jnu1I/Fl8jhqLxQKr1arY8h2DQmqYLRbUTJ0qbWaLJdtFIh3K1XoUbYCw1oJCLsjVuhQOgwKRdiUUEtavX4/KykqsXLlS+l1zczMKCwuxadMm6XcHDhxAR0cHlixZAgBYsmQJdu/ejZ6eHuk5GzduhNVqRVNTU6LfIW8xKBBRujEoULoxKBBpU9whwe/3Y/369bj55ptRUFAg/d5ms2H16tW455578N5776GtrQ233norlixZgsWLFwMAli9fjqamJnzta1/Dxx9/jLfeegvf+973sGbNGlhy/G5JujAoEFG6MShQujEoEGlP3CHhnXfeQUdHB2677baQx5544gl8/vOfx3XXXYdLLrkEDocD//3f/y09bjKZ8MYbb8BkMmHJkiX46le/ir/6q7/CI488kty3yHMMConzer043t0tbZyKlxKRD/WIQSEz8qEuhcOgQKQtBkGHq7UMDAzAZrNh158+QmlpabaLoxniiVK8wBfV2IbgsLhQPhAIBoOHxg9+pTMCAaLPWg+nx676WiD6SZqI8of8Air4gj/aBbv8WBLLhZj8/eN5b9IvsV6IF+ziBbx4nvrw0xJ0dIzf2KqrK8HiWUNo8mzHuZefR9sTO6XHmu9egOKbbsNeS0vY14nnx3CfqVeDg4O4cP5FcLvdmhnLKV6//c2Pu2Epzn6ZPOcG8Ozf12hqH2lJwrMbkfawRYGIMkEv06OqvQdpH1sUiLSBISHHMCgQUSboMSjwgk8/GBSIso8hIQcxKBBRJuglKHBlZn1iUCDKLoaEHMWgQESZwKBA6cSgQJQ9DAk5jEEhOktRERqnz5A2S1FRtotEOpTv9YhBIXXyvS6pYVAgyg6GhBzHoEBEmcCgQOnEoECUeQwJeYBBgYgygUGB0olBgSizGBLyBIOCutGREZw6eVLaRkdGsl0k0iHWo3EMCslhXYqMQYEocxgS8giDQiifzwe3u1/afD5ftotEOsR6pMSgkDjWpegYFIgygyEhzzAoEFEmMChQOjEoEKUfQ0IeYlAgokxgUKB0YlAgSi+GhDzFoEBEmcCgQOnEoECUPgwJeYxBgYgygUGB0olBgSg9GBLyXL4HBbPZgpqptdJmNluyXSTSIdaj6BgUYsO6lBgGBaLUY0igvA4KBqMBFotF2gxGQ7aLRDrEehQbBoXoWJcSx6BAlFoMCQQgv4MCEWUOgwKlE4MCUeowJJAkH4OC3+fDmcFBafNzTnJKAOtRfPQUFMTPyNQFH+tS8hgUiFKDIYEU8i0ojIyMoKfHJW0jXN2UEsB6FD+9BAX5Z2Tigo91KTUYFIiSx5BAIfItKBBRdugxKJB+MCgQJYchgVQxKBBRJugtKPBiT18YFIgSx5BAYTEoEFEmMChQOmUzKIgYFEiPGBIoIgYFIsoEBgVKp2wFBY99GlsU8lhfXx9WrVoFq9WKsrIyrF69GmfOnIn6uq1bt+Lyyy9HSUkJrFYrLrnkEpw7d056/KOPPsIVV1yBsrIyTJ48GXfccYfifT/++GN85StfQW1tLYqLizF37lw8+eSTcZefIYGiyuWgUFhYiIqKSmkrLCzManlIn1iPUkNvQSEdWJfShy0KlGmrVq3Cnj17sHHjRrzxxht4//33cccdd0R8zdatW3HllVdi+fLl2L59O3bs2IG1a9fCaAxcsh8/fhzLli3DjBkzsG3bNmzYsAF79uzBLbfcIr1HW1sbKisr8dJLL2HPnj347ne/i/vvvx+/+MUv4iq/QRAEIe5vnWUDAwOw2WzY9aePUFpamu3i5A3xRCle4ItqbENwWFwoHwgEg8FD4we/0hmBANFnrYfTY1d9LRD9JJ0ulqIi1NRMlX7u7u6CZ3g4K2Uh/WI9Si35BVTwRVa0GwvyY0ksF2Ly94/nvdOFdSn9xHohXrCLoUE8T334aQk6OsZvbNXVlWDxrCE0ebbj3MvPo+2JndJjzXcvQPFNt2GvpSXs68Tzo/h5wZ+ZLoODg7hw/kVwu92wWq1p+5x4iNdvf/PjbliKs18mz7kBPPv3Nejs7FTsI3Exw2Ts27cPTU1N2LFjBxYsCATMDRs24Oqrr0ZXVxeqq6tVX7d48WJcccUV+P73v6/6+Lp16/DAAw/gxIkTUnDYvXs3zj//fBw8eBAzZsxQfd2aNWuwb98+vPvuuzF/h4KYn0l5z2Fxwemxo8Y2pLjY73aXADY7YAXKW1pRivGgMHioHaXYhPKWVsAKwGYPeW2NbQhOjz1rQYGItEXenad8oF1xISUeh8KRH0ti6RYkf/943pv0S6wXHvs0WFzHYHEdg8c+LVBXrMDiWXYA4xf8gf+WALNa0HQT0AxIQaHtiZ1oBtB0E4BZLaqvWzxr7PyI8WAi/8x8nDnrxLGTKLR4sl0MjHgGAQC1tbWK3z/00EN4+OGHk3rvrVu3oqysTAoIALBs2TIYjUZs27YNX/ziF0Ne09PTg23btmHVqlX47Gc/i8OHD2POnDn44Q9/iIsvvhgA4PF4YDabpYAAAMXFxQCAP/7xj2FDgtvtRnl5eVzfgd2NKC651vVIEASMeL3SpsOGNdIA1qPU01PXo1RiXcqMbI5RELHrkXZ0dnbC7XZL2/3335/0ezqdTlRWVip+V1BQgPLycjidTtXXHDlyBADw8MMP4/bbb8eGDRtw0UUXobW1FQcPHgQAXH755XA6nfjJT34Cr9eL06dP47777gMAnDhxQvV9P/jgA7zyyitRuzoFY0iguOVSUPB6POjs7JA2ryf7dzZIf1iP0iMfgwLrUuYwKJDIarUqtkhdje677z4YDIaI2/79+xMqh9/vBwD89V//NW699VbMnz8fTzzxBGbPno3nn38eAHDeeefhxRdfxM9+9jNMmDABDocDDQ0NsNvtitYF0SeffIJrrrkGDz30EJYvXx5XeRgSKCG5FBSISLv0HBTKB9p58adxnPWI4nXvvfdi3759EbfGxkY4HA709PQoXjs6Ooq+vj44HA7V966qqgIANDU1KX4/d+5cdHR0SD/fdNNNcDqd6O7uxqlTp/Dwww+jt7cXjY2Nitft3bsXra2tuOOOO/C9730v7u/KkEAJY1AgokzQa1AQP49hQdu44BrFo6KiAnPmzIm4mc1mLFmyBP39/Whra5Ne++6778Lv92PRokWq7z1t2jRUV1fjwIEDit9/+umnqK8PPX7Z7XZMnDgRr7zyCoqKinDFFVdIj+3ZsweXXXYZbr75Zvzwhz9M6LsyJFBSGBSIKBMiXeBrPSiIG2mXFoKCiEEhN8ydOxdXXnklbr/9dmzfvh1btmzB2rVrceONN0ozG3V3d2POnDnYvn07AMBgMODb3/42nnrqKfzmN7/BoUOH8MADD2D//v1YvXq19N6/+MUv8NFHH+HTTz/F008/jbVr1+Kxxx5DWVkZgEAXo8suuwzLly/HPffcA6fTCafTid7e3ri+A0MCJY1BgYgyQbzYVruI0nJQIH3IdlCQT5HK1qfc8Ktf/Qpz5sxBa2srrr76alx88cVYt26d9PjIyAgOHDiAs2fPSr+76667cP/99+Puu+/GBRdcgE2bNmHjxo2YPn269Jzt27fjiiuuwLx587Bu3Tr88pe/xDe+8Q3p8d/85jfo7e3FSy+9hKqqKmlbuHBhXOXnOgmUMnpcR8FkMqGkZKL089DQGfh8vrR8FuUu1qPMCzd1pN7XUWBdyr5sraMgfmZwy0KirVBaXifhmjs/RqEl+9dvI55B/PaZCzS1j7SELQmUMnpsUSgoLMSUigppK+DqppQA1qPMC3fhlO0WhWSPVaxL2aelFgXxc9mqQNnAkEAppcegQES5JR1BQbxIi6W1IBVhgbJLLShYXMeyMkZBxKBAmcaQQCnHoEBE2ZbqoAAgrqAgfgaPWfoVaWBxuoNCOLG0Koj1rsdbGfF5RNEUZLsAlJscFhecHjtqbEOKcQbd7hLANrZEfUsrSjE+RmHwUDtKsQnlLa2AFYDNHvLaGtsQnB57ysYoeIaHcfTIYelnHQ7RIQ1gPdIm8TgUjvxYEm5AdDBxLIT4ulhCgPicWI5brEvaItYLsRuQ1PUIAKzA4ll2AONjDQL/LQFmtaDpJqAZkMYotD2xE80Amm4CMKtF9XWLZ42dH2V1UW2cQrgxOUSpxJYEShu9tCgIgiBtRIliPdKmdLYoxPL+wZ8Vy7GLdUlb1FoUMtH1KNI4BYDdjyj9GBIorfQSFIgod2kpKAR/XrT3Jm3IRlAI/lwGBco0hgRKu2SCQtXBzQwKRJQ0rQWFWN6TtCXTQaGtpzGhAc3pmjKc8g9DAmVEokHB136YQYGIUkJLQYHHLX1KR1CY3/Gfqq/rdCnPkZEwXFI6MCRQxoQ7gWYzKBgMBlgsFmkzGAwJvQ/lN9Yj/chEUEjmTu5p2zSYJlhZlzQs1bMe9W96N+VBga0JlAqc3YgyymFxBWY3AuKc9QioAoCZl6rOegRAet94Do5miwU1NVPH36u7C57h4cS+HOUt1iN9iWfWIzWxzDYjf308NzHMFgtKGxdCXIuWdUmb1GY98tinBS7UE5z1aH4rgFk3qL8O4+dIIHzLgbweVpp70vTtKV+wJYEyLh1dj8TXA2zGJ6LoYm1RULt7GzwdpijchZta6wLv9OpfMiszl7VennCLgvyz1bDrEaUKQwJlRTq6HomvBxgUiCi6ZIKCKNagIH5est2RSFsSDQp/qrshalBYupBBgbKL3Y0oa2LpelRVPx2lQMxdj8TXx7ro2ojXi+PHuxU/E8WL9Ui/Yu16FLzYmnxKyuDuR8ksdMW6pD/yrkcA4uh6dAPmt4bveuSYeSmwsBFbdihf1+kaW3QNUF14DQjUz0mDnWn/7pTb2JJAmhCu69GJmZfCVD9dtUUh3DoK4uuB6C0Kfr8fw+fOSZvf70/Bt6F8w3qkb7He2Q++8A83JSWQ+J1c1iV9ktcNeYBMpkWh6uBm1NhCX9fRMaQ4x6kFUrU1FYjixZBAWSVveo83KKgtuNbpCmzi6wF2PSKi6CIFhUgzHgV3M5Fjl4/8ko6gEDxGoetoLwBgy47Aa4EIQaGnI+XfkfILQwJpQqqCQu3YuTyWoMATOBHJJRsU1PA4k1+Cg4IoVUFhakOFFBTE18rH8omf6Ws/nN4vSnmBYxJI86QxCjMvRRWgMkZhE8pbWgNTw9kCfT/FFoVae+QxCsn0HSai3BNpjIL8GBI8RgFQnxoVGA8K4Y41ap/Hwc25yWFxodbeiOAxCrX2EjjGznHRpkcFAi0KUxsqFFOkOiqVn+XrPJqR70S5iy0JpBnhWhOA9LQoMBwQUbzCHUMitSaI2KqQH8KdW8R/f/EcJW9R2LJjCG09jQm3KHS6gLaeRp7XKKXYkkCaIt7Fq7ENqc5aFK1Foap+ujTrkXjHRf764BaFocrZaOQiWJQkS1ERF1PLIbHMeCQ+T96iEGtQiHQhV1pswryGCcDYcmqsS/oU3NIUPOPR+DlqvEVhy46xrkhRZj2StyiIxBaFGpsd5fZpsADA/r3p/pqU4xgSKKsinTDlQUHedShyUIg8PSoRkZz8Qi54xeTgoCAeT8TWTvn0qMHvFe0zecc3v4gDmaMFhVinR8WsG1BrL5GmRxUFzpEtaLIDpqFzmfuClJMYEihrxBNqcH/dcHfxOqUuurEFhXL7NMDWErIGQ6xrKBBRfon1WCQPC+FaFeIRreWC9Cnc2hqpCgriOgqdrvGpUcfHJ9SjoDK06y5RPBgSSDPkd9eCux3V2sdDQuC/0YOCBUCTHXBU1sPpCW1VcHrsqDGdxKlTJ6XfjY6MpPtrUg4aHRlhPcohasciACHdIIPDQjytCsGtCeLneEb8OOYaRmnBGQCsS3qnFhRE4YKCONYgWlCoAtA8EwDGB0KPB4VGzCodTPfXoxzHkECaEu7kHCw4KJTbp6EUm1SDQjkgOxCPtyYAQPfZKXD42KJAsXUVCddFxOfzwd3fn+ISUSaEu/sf67EIkK0Yb1POfiS+TzjhgsLxUyNwWPrj/SqkUw6LSwoKHR1QDEqONSjUSK8fDwpl1ZVqH0cUM4YEyppYm+bVWhOAoKBgBarqp4e0KOBQO8paL5eCgtg6Qfkt0VlmIr2OfcxzT6TWTTXimCl5V8Zoxzm1oEC5JVIdEP/9xaCwdGFgnEGsQaFuTxcarzkcmAZ8VguAEnyw+Ri6jvZieGF5Rr4f5S5OgUqaIz+YBk+LWht0M6/TFX561N49XQACi8pYXMekKVIpv6VrGkpOb6lfqQ54To89ZKrUSJ9RPtDO+pPjov37i2ps44utiUGhoyMQTE/MvDRketSOt53SNOCBNRgCrwOAzi7eEKPkMCRQVsVyck40KFScNxW9e7oweKgd/ZveZVAgALzjT+qizW0PRF7LJXhNFiB0kbRodU8MCwwMuSlaUBDrl3xVZvGCX1xHQQwKdcsd0mvbntiJI7/dgqqDm9FceUR67fFjJ0GUDIYEyjq1A2fwSTLZoACwRYHGRbuzS/kpmaAgPyYlExQot8UaFIIXWwMgLZh2YualaLxmaUiLQv+md1F1cDMWzxqbovdIdxq+AeUTjkkgTVDrsxluUF8sYxTExWRKxx4Tg4J8MLPTYkdJkRE1NbXSe/T2uOD1etPwDUmLUnXBZjabUVFpR83Yz6xH+hXLWKlYxycEr6cQ7jMsrmPS/xtKJ8M873MotkwEwLqUi6KNUYg2NWqNzY7yllaUYhPqlneh420ngPHBzE03TcPUhhZ07tufia9DOYwhgTQj0aAAqE2P2gLHzHppelSRfNYjx8x6DBmqYbFYpMcNRjauUfwMRiPrUQ5Rm5ko3BoK0kxpKmEhOCiIr4vEYCqA0ToZYm1iXcpNsQQFRyUgTm8KBK2FMKsFjmX1mFk/HRXnvasYzPwXM+qxdOFlOLq/RvX9iWLFkECaEunkLLGO/Vc2panaOgrdaETzTISdHrUKQN+8FQAmpOvrEJGOhbtxIRk7FkUKC/KgID430sJrPhe7iOSLSC1K4rxEzZWB6U0D9Uo5xWmtPXCOq4Jy1qMjv92CK1rew9kvNeN3z2Toy1BOYkgg3ZFWasZYK4NN7PNbIgWFLTvEgV+NqLHZ4VhWj6r6zfC1H5bex9d+GJNLPsQZ2wrpd36fL0PfgnKJ3+fDmTODip8pN0S94wvZsQiQHY/CCw4K4kq8AGAsn4zRE0cwXBoYsMq6pH/B41JimSJXrA9VrmMot08DbIHpTcWg8MHmY5jaUIHOukYsnmVH003T8Bcz6nHkt1vQ8bYTFec9j8u+wNmNKDkMCZQ18Rw45XdY5MQD6HhYGA8KgTsugf+vq2sM3HVZdgTlA+3S+wlDbvS4OIg5n0RaFCthHqDzDOe41yu1OhHv8ahq7HfS8SjCe8t/77SMjVeQvabceRR9Z/1xfQfSj+CuZ2phUX5DywKgyQ44Kushdj/qOtorbR9sBqY2tGDpwstwRct7qDjvebQ9sRPlu45l9HtR7mFIIM0Id+AMJj94AoEDqBgWHJX1qLHZUWsPhAVxifuuo73SXZdAE60yLFDuS0s4oJwVbbAxEHosAsaPRx77tMAvrOOPyeugvFtSNxoV71Fjs8MBBs5cJ69jwUHBVD9dql++9sPShBti9yNgmnR+O3GoEycOdaLraC1ww2W44iagbk8X9r/FrmuUHF2GBEEQAABnzpzJckkoGUPeYtXfD3rHu20UnBlrLi2pgKUn0CzgO+dRvmD/XphqG4Aj+1BQOYSS0kGUmSpxdmIJhqcAnmELjh87iaP7B+EZnoLhsyU4OzQF1dZizC4ZwuDgICj3hatvqSSvu6Qf4erG4TPFqDT3SD+HHI+mVMPXeVT5ItnxCAAKKgOvOV1aixIMosdbCQA4OzTejai7R/kWBwGsbGJdyhXyf/dg8jo2aCjHpMFO9fq1fy9MQ+ekc9y86koMny2BZ9iCEU8ZAGDEM4h3/+8Ezl7UjCuWL8DZDZ0Axq+ZiOKly5Bw6tQpAMDFn7skyyUhIiJKve9muwCkW88G/Tw4OAibzZaVspC+6TIklJcHxv13dHSw4kcwMDCA2tpadHZ2wmq1Rn9BHuI+ig33U3TcR9FxH8WG+yk67qPoBEHA4OAgqqurs10U0ildhgTj2LzRNpuNB4cYWK1W7qcouI9iw/0UHfdRdNxHseF+io77KDLeSKVkcJUWIiIiIiJSYEggIiIiIiIFXYYEi8WChx56CBaLJfqT8xj3U3TcR7HhfoqO+yg67qPYcD9Fx31ElH4GgXNjEREREVGaDQwMwGaz4Zo7P0ahpTTbxcGIZxC/feYCuN1ujm1RocuWBCIiIiIiSh+GBCIiIiIiUmBIICIiIiIiBYYEIiIiIiJSYEggIiIiIiIFXYaEp59+GtOmTUNRUREWLVqE7du3Z7tIGfP+++/jL//yL1FdXQ2DwYDXX39d8bggCHjwwQdRVVWF4uJiLFu2DAcPHlQ8p6+vD6tWrYLVakVZWRlWr16NM2fOZPBbpNdjjz2GhQsXorS0FJWVlbj22mtx4MABxXOGh4exZs0aTJ48GRMnTsR1110Hl8uleE5HRwdWrlyJCRMmoLKyEt/+9rcxOjqaya+SVs888wzOP/98acXSJUuW4M0335Qe5z4K9aMf/QgGgwF33XWX9Lt8308PP/wwDAaDYpszZ470eL7vH7nu7m589atfxeTJk1FcXIx58+Zh586d0uP5fvyeNm1aSF0yGAxYs2YNANYlokzTXUh45ZVXcM899+Chhx7CRx99hAsuuAArVqxAT09PtouWEUNDQ7jgggvw9NNPqz7++OOP46mnnsKzzz6Lbdu2oaSkBCtWrMDw8LD0nFWrVmHPnj3YuHEj3njjDbz//vu44447MvUV0m7z5s1Ys2YNPvzwQ2zcuBEjIyNYvnw5hoaGpOfcfffd+P3vf49XX30VmzdvxvHjx/GlL31Jetzn82HlypXwer344IMP8OKLL+KFF17Agw8+mI2vlBZTp07Fj370I7S1tWHnzp24/PLLcc0112DPnj0AuI+C7dixA7/85S9x/vnnK37P/QScd955OHHihLT98Y9/lB7j/gk4ffo0li5disLCQrz55pvYu3cvfvazn2HSpEnSc/L9+L1jxw5FPdq4cSMA4PrrrwfAukSUcYLOtLS0CGvWrJF+9vl8QnV1tfDYY49lsVTZAUB47bXXpJ/9fr/gcDiEn/zkJ9Lv+vv7BYvFIvz6178WBEEQ9u7dKwAQduzYIT3nzTffFAwGg9Dd3Z2xsmdST0+PAEDYvHmzIAiBfVJYWCi8+uqr0nP27dsnABC2bt0qCIIg/O///q9gNBoFp9MpPeeZZ54RrFar4PF4MvsFMmjSpEnCv/3bv3EfBRkcHBRmzpwpbNy4Ubj00kuFb37zm4IgsC4JgiA89NBDwgUXXKD6GPfPuL//+78XLr744rCP8/gd6pvf/KYwffp0we/3sy7lCLfbLQAQFq34H2Hp5/+Q9W3Riv8RAAizZs0S5s6dK/ziF7/I9i7SFF21JHi9XrS1tWHZsmXS74xGI5YtW4atW7dmsWTacPToUTidTsX+sdlsWLRokbR/tm7dirKyMixYsEB6zrJly2A0GrFt27aMlzkT3G43AKC8vBwA0NbWhpGREcV+mjNnDurq6hT7ad68ebDb7dJzVqxYgYGBAelOey7x+Xz4j//4DwwNDWHJkiXcR0HWrFmDlStXKvYHwLokOnjwIKqrq9HY2IhVq1aho6MDAPeP3O9+9zssWLAA119/PSorKzF//nz867/+q/Q4j99KXq8XL730Em677TYYDAbWJUqrHTt2YO/evVLXNgrQVUg4efIkfD6f4gAAAHa7HU6nM0ul0g5xH0TaP06nE5WVlYrHCwoKUF5enpP70O/346677sLSpUvxmc98BkBgH5jNZpSVlSmeG7yf1Paj+Fiu2L17NyZOnAiLxYK/+Zu/wWuvvYampibuI5n/+I//wEcffYTHHnss5DHuJ2DRokV44YUXsGHDBjzzzDM4evQoPve5z2FwcJD7R+bIkSN45plnMHPmTLz11lu488478Y1vfAMvvvgiAB6/g73++uvo7+/HLbfcAoB/a0TZUJDtAhCl05o1a/DJJ58o+kjTuNmzZ2PXrl1wu934zW9+g5tvvhmbN2/OdrE0o7OzE9/85jexceNGFBUVZbs4mnTVVVdJ/3/++edj0aJFqK+vx3/+53+iuLg4iyXTFr/fjwULFuDRRx8FAMyfPx+ffPIJnn32Wdx8881ZLp32PPfcc7jqqqtQXV2d7aIQ5S1dtSRMmTIFJpMpZDYDl8sFh8ORpVJph7gPIu0fh8MRMsh7dHQUfX19ObcP165dizfeeAPvvfcepk6dKv3e4XDA6/Wiv79f8fzg/aS2H8XHcoXZbMaMGTPQ3NyMxx57DBdccAGefPJJ7qMxbW1t6OnpwUUXXYSCggIUFBRg8+bNeOqpp1BQUAC73c79FKSsrAyzZs3CoUOHWI9kqqqq0NTUpPjd3Llzpa5ZPH6Pa29vxzvvvIOvf/3r0u9Yl4gyT1chwWw2o7m5GZs2bZJ+5/f7sWnTJixZsiSLJdOGhoYGOBwOxf4ZGBjAtm3bpP2zZMkS9Pf3o62tTXrOu+++C7/fj0WLFmW8zOkgCALWrl2L1157De+++y4aGhoUjzc3N6OwsFCxnw4cOICOjg7Fftq9e7fihLxx40ZYrdaQE30u8fv98Hg83EdjWltbsXv3buzatUvaFixYgFWrVkn/z/2kdObMGRw+fBhVVVWsRzJLly4NmYr5008/RX19PQAev+XWr1+PyspKrFy5Uvod6xJR5umuu9E999yDm2++GQsWLEBLSwt+/vOfY2hoCLfeemu2i5YRZ86cwaFDh6Sfjx49il27dqG8vBx1dXW466678IMf/AAzZ85EQ0MDHnjgAVRXV+Paa68FELhzdeWVV+L222/Hs88+i5GREaxduxY33nhjzjTrrlmzBi+//DJ++9vforS0VOqLarPZUFxcDJvNhtWrV+Oee+5BeXk5rFYr/u7v/g5LlizB4sWLAQDLly9HU1MTvva1r+Hxxx+H0+nE9773PaxZswYWiyWbXy9l7r//flx11VWoq6vD4OAgXn75ZfzhD3/AW2+9xX00prS0VBrLIiopKcHkyZOl3+f7fvrWt76Fv/zLv0R9fT2OHz+Ohx56CCaTCV/5yldYj2TuvvtufPazn8Wjjz6KG264Adu3b8e6deuwbt06AJDW38j347ff78f69etx8803o6Bg/BKFdYkoC7I9vVIi/vmf/1moq6sTzGaz0NLSInz44YfZLlLGvPfeewKAkO3mm28WBCEwjd4DDzwg2O12wWKxCK2trcKBAwcU73Hq1CnhK1/5ijBx4kTBarUKt956qzA4OJiFb5MeavsHgLB+/XrpOefOnRP+9m//Vpg0aZIwYcIE4Ytf/KJw4sQJxfscO3ZMuOqqq4Ti4mJhypQpwr333iuMjIxk+Nukz2233SbU19cLZrNZqKioEFpbW4W3335bepz7SJ18ClRB4H768pe/LFRVVQlms1moqakRvvzlLwuHDh2SHs/3/SP3+9//XvjMZz4jWCwWYc6cOcK6desUj/P4LQhvvfWWACDkewsC61Iu0OoUqG63O9u7RpMMgiAI2QgnRERERJQ/BgYGAlP7rvgfFBSWZLs4GB0Zwra3VsLtdsNqtWa7OJqjqzEJRERERESUfgwJRERERESkwJBAREREREQKDAlERERERKTAkEBERERERAoMCUREREREpMCQQERERERECgwJRERERESkwJBAREREREQKDAlERERERKTAkEBERERERAoMCUREREREpMCQQERERERECgwJRERERESkwJBAREREREQKDAlERERERKTAkEBERERERAoMCUREREREpMCQQERERERECgwJRERERESkwJBAREREREQKDAlERERERKTAkEBERERERAoMCUREREREpMCQQERERERECgwJRERERESkwJBAREREREQKDAlERERERKTAkEBERERERAoMCUREREREpMCQQERERERECgwJRERERESkwJBAREREREQKDAlERERERKTAkEBERERERAoMCUREREREpMCQQERERERECgwJRERERESkwJBAREREREQKDAlERERERKTAkEBERERERAoMCUREREREpMCQQERERERECgwJRERERESkwJBARERERJRiP/zhD/HZz34WEyZMQFlZWUyvEQQBDz74IKqqqlBcXIxly5bh4MGDiuf09fVh1apVsFqtKCsrw+rVq3HmzBnFc/785z/jc5/7HIqKilBbW4vHH3887vIzJBARERERpZjX68X111+PO++8M+bXPP7443jqqafw7LPPYtu2bSgpKcGKFSswPDwsPWfVqlXYs2cPNm7ciDfeeAPvv/8+7rjjDunxgYEBLF++HPX19Whra8NPfvITPPzww1i3bl1c5TcIgiDE9QoiIiIiojgNDAzAZrNh0Yr/QUFhSbaLg9GRIWx7ayXcbjesVmvaPueFF17AXXfdhf7+/ojPEwQB1dXVuPfee/Gtb30LAOB2u2G32/HCCy/gxhtvxL59+9DU1IQdO3ZgwYIFAIANGzbg6quvRldXF6qrq/HMM8/gu9/9LpxOJ8xmMwDgvvvuw+uvv479+/fHXG62JBARERFRxvhGhzA6kv3NNzoEIBBe5JvH48nKfjl69CicTieWLVsm/c5ms2HRokXYunUrAGDr1q0oKyuTAgIALFu2DEajEdu2bZOec8kll0gBAQBWrFiBAwcO4PTp0zGXpyDZL0REREREFI3ZbIbD4cDOTTdkuyiSiRMnora2VvG7hx56CA8//HDGy+J0OgEAdrtd8Xu73S495nQ6UVlZqXi8oKAA5eXliuc0NDSEvIf42KRJk2IqD0MCEREREaVdUVERjh49Cq/Xm+2iSARBgMFgUPzOYrGEff59992HH//4xxHfc9++fZgzZ05KypdNDAlERERElBFFRUUoKirKdjESdu+99+KWW26J+JzGxsaE3tvhcAAAXC4XqqqqpN+7XC5ceOGF0nN6enoUrxsdHUVfX5/0eofDAZfLpXiO+LP4nFgwJBARERERxaCiogIVFRVpee+GhgY4HA5s2rRJCgUDAwPYtm2bNEPSkiVL0N/fj7a2NjQ3NwMA3n33Xfj9fixatEh6zne/+12MjIygsLAQALBx40bMnj075q5GAAcuExERERGlXEdHB3bt2oWOjg74fD7s2rULu3btUqxpMGfOHLz22msAAIPBgLvuugs/+MEP8Lvf/Q67d+/GX/3VX6G6uhrXXnstAGDu3Lm48sorcfvtt2P79u3YsmUL1q5dixtvvBHV1dUAgJtuuglmsxmrV6/Gnj178Morr+DJJ5/EPffcE1f52ZJARERERJRiDz74IF588UXp5/nz5wMA3nvvPfzFX/wFAODAgQNwu93Sc77zne9gXDWvDQAAALVJREFUaGgId9xxB/r7+3HxxRdjw4YNii5av/rVr7B27Vq0trbCaDTiuuuuw1NPPSU9brPZ8Pbbb2PNmjVobm7GlClT8OCDDyrWUogF10kgIiIiIiIFdjciIiIiIiIFhgQiIiIiIlJgSCAiIiIiIgWGBCIiIiIiUmBIICIiIiIiBYYEIiIiIiJSYEggIiIiIiIFhgQiIiIiIlJgSCAiIiIiIgWGBCIiIiIiUmBIICIiIiIihf8PsQSlL6gY/5kAAAAASUVORK5CYII=", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, axs = plot_correlation_matrix(corr_timeseries, show_plot=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "5903e623", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, axs = plot_correlated_corr_length(corr_timeseries, show_plot=True)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.11" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/uadapy/__init__.py b/uadapy/__init__.py index 224430f..5afc966 100644 --- a/uadapy/__init__.py +++ b/uadapy/__init__.py @@ -1,3 +1,4 @@ from .distribution import Distribution +from .timeseries import TimeSeries, CorrelatedDistributions -__all__ = ['Distribution'] +__all__ = ['Distribution','TimeSeries', 'CorrelatedDistributions'] diff --git a/uadapy/data/data.py b/uadapy/data/data.py index 91f7d4e..3751b61 100644 --- a/uadapy/data/data.py +++ b/uadapy/data/data.py @@ -1,6 +1,7 @@ from sklearn import datasets import numpy as np -from uadapy import Distribution +from uadapy import Distribution, TimeSeries +from scipy import stats def load_iris_normal(): """ @@ -23,3 +24,48 @@ def load_iris(): for c in np.unique(iris.target): dist.append(Distribution(np.array(iris.data[iris.target == c]))) return dist + +def generate_synthetic_timeseries(timesteps=200): + """ + Generates synthetic time series data by modeling a combination of trend, + periodic patterns, and noise using a multivariate normal distribution + with an exponential quadratic kernel for covariance. + + Parameters + ---------- + timesteps : int + The time steps of the time series. + Default value is 200. + + Returns + ------- + timeseries : Timeseries object + An instance of the TimeSeries class, which represents a univariate time series. + """ + np.random.seed(0) + t = np.arange(1, timesteps + 1) + trend = t / 10 + periodic = 10 * np.sin(2 * np.pi * t / 100) + noise = 2 * (np.random.rand(timesteps) - 0.5) + mu = trend + periodic + noise + sigma2 = 20 * np.ones(timesteps) + sigma_sq = np.sqrt(sigma2) + sigma = np.zeros((timesteps, timesteps)) + + def ex_qu_kernel(x, y, sigma_i, sigma_j, l): + return sigma_i * sigma_j * np.exp(-0.5 * np.linalg.norm(x - y)**2 / l**2) + + for i in range(timesteps): + for j in range(timesteps): + sigma[i, j] = ex_qu_kernel(t[i], t[j], sigma_sq[i], sigma_sq[j], 5) + + # Ensure symmetry + sigma = (sigma + sigma.T) / 2 + + # Ensure positive definiteness + epsilon = 1e-6 + sigma += np.eye(sigma.shape[0]) * epsilon + model = stats.multivariate_normal(mu, sigma) + timeseries = TimeSeries(model, timesteps) + + return timeseries diff --git a/uadapy/plotting/plotsTimeSeries.py b/uadapy/plotting/plotsTimeSeries.py new file mode 100644 index 0000000..be09e6f --- /dev/null +++ b/uadapy/plotting/plotsTimeSeries.py @@ -0,0 +1,688 @@ +import numpy as np +import matplotlib.pyplot as plt +import matplotlib.colors as mcolors +from matplotlib import cm +from matplotlib.colors import Normalize +from uadapy import CorrelatedDistributions +import glasbey as gb + +def _compute_correlation_matrix(sigma): + + c_inv_mult = np.zeros(sigma.shape[0]) + + for k in range(sigma.shape[0]): + c = sigma[k, k] + if c < 1e-12: + c_inv_mult[k] = 0 + else: + c_inv_mult[k] = 1 / np.sqrt(c) + cor_mat = np.diag(c_inv_mult) @ sigma @ np.diag(c_inv_mult) + + return cor_mat + +def _reconstruct_covariance_matrix(block_cov): + + block_rows = [np.concatenate(row, axis=1) for row in block_cov] + cov_mat = np.concatenate(block_rows, axis=0) + return cov_mat + +def _plot_data(data, plot_type, n_samples, samples_colored, colorblind_safe, line_width): + + smpl_width = 0.5 + sigmalvl = [0, 0.674490, 2.575829] + + cmap_gradient = plt.get_cmap('Blues') + n_levels = len(sigmalvl) + 2 + color_indices = np.linspace(0, 155, n_levels).astype(int) + col = cmap_gradient(np.flip(color_indices) / 256)[:, :3] + + if plot_type == "isoband": + x = np.arange(len(data['mu'])) + for j in range(len(sigmalvl) - 1, 0, -1): + pos_cont = data['mu'] + sigmalvl[j] * data['sigma_sq'] + neg_cont = data['mu'] - sigmalvl[j] * data['sigma_sq'] + for i in range(len(data['mu']) - 1): + xp = [x[i], x[i + 1], x[i + 1], x[i]] + yp = [neg_cont[i], neg_cont[i + 1], pos_cont[i + 1], pos_cont[i]] + plt.fill(xp, yp, color=col[j], edgecolor='none') + plt.plot(x, data['mu'], color=col[0], linewidth=line_width) + + elif plot_type == "spaghetti": + if colorblind_safe: + colors = gb.create_palette(palette_size=n_samples, colorblind_safe=True) + else : + cmap_discrete = plt.get_cmap('tab10') + colors = cmap_discrete(np.linspace(0, 1, max(n_samples, 10))) + + samples_2_plot = data['samples'][:, :n_samples] + if data['samples'].shape[1] == 2 * n_samples: + samples_2_plot_shift = data['samples'][:, n_samples:2 * n_samples] + if not samples_colored: + h2a = plt.plot(samples_2_plot, color=colors[1], linewidth=line_width * smpl_width) + h2a_shift = plt.plot(samples_2_plot_shift, color=colors[1], linewidth=line_width * smpl_width * 0.2, linestyle='-') + h2a_shift_dot = plt.plot(samples_2_plot_shift, color=colors[1], linewidth=line_width * smpl_width, linestyle=':') + else: + for i in range(n_samples): + plt.plot(samples_2_plot[:, i], linewidth=line_width * smpl_width, color=colors[i]) + plt.plot(samples_2_plot_shift[:, i], linewidth=line_width * smpl_width * 0.2, color=colors[i], linestyle='-') + plt.plot(samples_2_plot_shift[:, i], linewidth=line_width * smpl_width, color=colors[i], linestyle=':') + if not samples_colored and n_samples > 1: + for h in h2a: + h.set_alpha(0.5) + for h in h2a_shift: + h.set_alpha(0.5) + for h in h2a_shift_dot: + h.set_alpha(0.5) + else: + if not samples_colored: + h2a = plt.plot(samples_2_plot, color=colors[1], linewidth=line_width * smpl_width) + else: + for i in range(n_samples): + plt.plot(samples_2_plot[:, i], linewidth=line_width * smpl_width, color=colors[i]) + if not samples_colored and n_samples > 1: + for h in h2a: + h.set_alpha(0.5) + + elif plot_type == "comb": + x = np.arange(len(data['mu'])) + _plot_data(data, "isoband", n_samples, samples_colored, colorblind_safe, line_width) + plt.plot(x, data['mu'], color=col[0], linewidth=line_width) + _plot_data(data, "spaghetti", n_samples, samples_colored, colorblind_safe, line_width) + +def _plot_correlation_length_data( + timeseries, + multi_distr_present=False, + fig=None, + axs=None, + show_plot=False): + """ + Plot correlation length. + + Parameters + ---------- + timeseries : Timeseries object or CorrelatedDistributions object + An instance of the TimeSeries class or CorrelatedDistributions class. + multi_distr_present : bool, optional + if True, plots correlation length for correlated uncertain timeseries data. + Default is False. + fig : matplotlib.figure.Figure or None, optional + Figure object to use for plotting. If None, a new figure will be created. + axs : matplotlib.axes.Axes or array of Axes or None, optional + Axes object(s) to use for plotting. If None, new axes will be created. + show_plot : bool, optional + If True, display the plot. + Default is False. + + Returns + ------- + matplotlib.figure.Figure + The figure object containing the plot. + list + List of Axes objects used for plotting. + """ + + discr_nmb = 13 + + if multi_distr_present: + cov_mat = timeseries.covariance_matrix + sb_plot_nmb = timeseries.n_distributions + length_data = len(timeseries.distributions[0].mean()) + cov_mat = _reconstruct_covariance_matrix(cov_mat) + cor_mat = _compute_correlation_matrix(cov_mat) + else: + mu = timeseries.mean() + sigma = timeseries.cov() + sb_plot_nmb = 1 + length_data = len(mu) + cor_mat = _compute_correlation_matrix(sigma) + time_stamp = [0, length_data] + stamp_length = time_stamp[1] - time_stamp[0] + stamp_indices = list(range(length_data * sb_plot_nmb)) + + if fig is None: + if multi_distr_present: + fig = plt.figure(figsize=(12, 8)) + else: + fig = plt.figure(figsize=(15, 3)) + plt.suptitle('Correlation Length') + + sign_cor_mat = np.sign(cor_mat) + maxdim = len(sign_cor_mat) + full_cor_length = np.zeros(maxdim) + vert_r = np.zeros(maxdim) + vert_l = np.zeros(maxdim) + for i in range(maxdim): + cur_sign_el = sign_cor_mat[i, i] + if abs(cur_sign_el) > 0: + vert1 = 0 + vert2 = 0 + dec_b = (i + 1) % length_data + + if dec_b == 0: + var_r = 0 + var_l = length_data + elif (dec_b < length_data / 2) or (dec_b > length_data / 2): + var_r = length_data - dec_b + var_l = dec_b + else: + var_r = length_data // 2 + var_l = length_data // 2 + for j in range(0, var_r-1): + if cur_sign_el == sign_cor_mat[i, i + j]: + vert1 += 1 + else: + break + for j in range(0, var_l-1): + if cur_sign_el == sign_cor_mat[i, i - j]: + vert2 += 1 + else: + break + vert_r[i] = vert1 + vert_l[i] = vert2 + full_cor_length[i] = vert1 + vert2 - 1 + + nmb_colors = discr_nmb // 2 + 1 + out = [None] * len(cor_mat) + vert_l = vert_l.astype(int) + vert_r = vert_r.astype(int) + for i in range(len(cor_mat)): + col_ind = np.full(length_data, np.nan) + k = 1 + if (vert_l[i] >= 0) or (vert_r[i] >= 0): + for j in range(vert_l[i] - 1, 0, -1): + col_ind[k] = min(int(np.ceil(cor_mat[i, i - j] * nmb_colors)), nmb_colors) + k += 1 + col_ind[k] = min(int(np.ceil(cor_mat[i, i] * nmb_colors)), nmb_colors) + k += 1 + for j in range(0, vert_r[i] - 1): + col_ind[k] = min(int(np.ceil(cor_mat[i, i + j] * nmb_colors)), nmb_colors) + k += 1 + col_ind = col_ind[~np.isnan(col_ind)] + out[i] = col_ind + + plot_mat = np.zeros((len(cor_mat), length_data)) + ysize = np.zeros(len(out)) + for i in range(len(out)): + if out[i] is not None: + insert = out[i] + ysize[i] = len(insert) + plot_mat[i, :len(insert)] = insert + plot_mat = np.flipud(plot_mat.T) + cmap_full = cm.get_cmap('coolwarm', 256) + colors_upper_half = cmap_full(np.linspace(0.5, 1, nmb_colors - 1)) + colors = np.vstack(([1, 1, 1, 1], colors_upper_half)) + + # Create a custom discrete colormap + cmap = mcolors.ListedColormap(colors) + + for i in range(sb_plot_nmb): + plt.subplot(sb_plot_nmb, 1, i + 1) + max_i = max(ysize[stamp_indices[(i * stamp_length):((i + 1) * stamp_length)]]) + max_i = max_i.astype(int) + image2plot = plot_mat[-max_i:, stamp_indices[(i * stamp_length):((i + 1) * stamp_length)]] + plt.imshow(image2plot, cmap=cmap, aspect='auto') + vert_ls = np.repeat(vert_l[stamp_indices[(i * stamp_length):((i + 1) * stamp_length)]], 2) + xs = np.repeat(np.linspace(0, stamp_length, stamp_length + 1), 2) + xs = xs[1:-1] + plt.plot(xs - 0.5, max_i - vert_ls, linewidth=2, color='black', linestyle='-') + if i == 0: + plt.title("input data") + elif i == 1: + plt.title("trend component") + elif i == sb_plot_nmb - 1: + plt.title("residual component") + else: + plt.title(f"seasonal component {i - 1}") + plt.xlabel('timesteps') + + fig = plt.gcf() + axs = plt.gca() + + if show_plot: + fig.tight_layout() + plt.show() + + return fig, axs + +def plot_timeseries( + timeseries, + n_samples, + seed=55, + fig=None, + axs=None, + colorblind_safe=False, + show_plot=False): + """ + Plot single uncertain timeseries data. + + Parameters + ---------- + timeseries : Timeseries object + An instance of the TimeSeries class, which represents a univariate time series. + n_samples : int + The number of samples to draw from the given timeseries distribution. + seed : int + Seed for the random number generator for reproducibility. It defaults to 55 if not provided. + fig : matplotlib.figure.Figure or None, optional + Figure object to use for plotting. If None, a new figure will be created. + axs : matplotlib.axes.Axes or array of Axes or None, optional + Axes object(s) to use for plotting. If None, new axes will be created. + colorblind_safe : bool, optional + If True, the plot will use colors suitable for colorblind individuals. + Default is False. + show_plot : bool, optional + If True, display the plot. + Default is False. + + Returns + ------- + matplotlib.figure.Figure + The figure object containing the plot. + list + List of Axes objects used for plotting. + """ + + mu = timeseries.mean() + sigma = timeseries.cov() + + if fig is None: + fig = plt.figure(figsize=(15, 3)) + plt.suptitle('Timeseries') + + plot_type = 'comb' + samples_colored = True + line_width = 2.5 + time_stamp = [0, timeseries.timesteps] + + samples = timeseries.sample(n_samples, seed).transpose() + y = {'samples': samples} + y['mu'] = mu[time_stamp[0]:time_stamp[1]] + y['sigma_sq'] = np.sqrt(np.maximum(np.diag(sigma[time_stamp[0]:time_stamp[1], time_stamp[0]:time_stamp[1]]), 0)) + y['sigma'] = sigma[time_stamp[0]:time_stamp[1], time_stamp[0]:time_stamp[1]] + + _plot_data(y, plot_type, n_samples, samples_colored, colorblind_safe, line_width) + plt.xlabel('timesteps') + + axs = plt.gca() + if show_plot: + fig.tight_layout() + plt.show() + + return fig, axs + +def plot_correlated_timeseries( + corr_timeseries : CorrelatedDistributions, + n_samples, + co_point, + seed=55, + fig=None, + axs=None, + colorblind_safe=False, + show_plot=False): + """ + Plot correlated uncertain timeseries data. + + Parameters + ---------- + corr_timeseries : CorrelatedDistributions object + An instance of the CorrelatedDistributions class. + n_samples : int + The number of samples to draw from the given timeseries distribution. + co_point : int + Interactive point for correlation exploration. + seed : int + Seed for the random number generator for reproducibility. It defaults to 55 if not provided. + fig : matplotlib.figure.Figure or None, optional + Figure object to use for plotting. If None, a new figure will be created. + axs : matplotlib.axes.Axes or array of Axes or None, optional + Axes object(s) to use for plotting. If None, new axes will be created. + colorblind_safe : bool, optional + If True, the plot will use colors suitable for colorblind individuals. + Default is False. + show_plot : bool, optional + If True, display the plot. + Default is False. + + Returns + ------- + matplotlib.figure.Figure + The figure object containing the plot. + list + List of Axes objects used for plotting. + """ + + discr_nmb = 13 + samples_colored=True + line_width = 2.5 + plot_type = 'comb' + samples = {} + mu = {} + sigma_sq = {} + sigma = {} + num_periods = corr_timeseries.n_distributions - 3 + ts_means = [x.mean() for x in corr_timeseries.distributions] + cov_mat = corr_timeseries.covariance_matrix + + if fig is None: + fig = plt.figure(figsize=(12, 8)) + + plt.suptitle('Uncertainty-Aware Seasonal-Trend Decomposition') + + timesteps = len(ts_means[0]) + time_stamp = [0, timesteps] + stamp_indices = list(range(len(ts_means[0]) * corr_timeseries.n_distributions)) + + samples = corr_timeseries.sample(n_samples, seed).T + samples = np.split(samples, corr_timeseries.n_distributions, axis=0) + + for i in range(corr_timeseries.n_distributions): + mu[i] = ts_means[i] + sigma_sq[i] = np.sqrt(np.maximum(np.diag(cov_mat[i][i]), 0)) + sigma[i] = cov_mat[i][i] + + y = {'samples': samples[0], 'mu': mu[0], 'sigma_sq': sigma_sq[0], 'sigma': sigma[0]} + LT = {'samples': samples[1], 'mu': mu[1], 'sigma_sq': sigma_sq[1], 'sigma': sigma[1]} + + ST = { + 'samples': np.zeros((time_stamp[1] - time_stamp[0], n_samples, num_periods)), + 'mu': np.zeros((time_stamp[1] - time_stamp[0], num_periods)), + 'sigma_sq': np.zeros((time_stamp[1] - time_stamp[0], num_periods)), + 'sigma': np.zeros((time_stamp[1] - time_stamp[0], time_stamp[1] - time_stamp[0], num_periods)), + } + + for i in range(num_periods): + ST['samples'][:, :, i] = samples[2 + i] + ST['mu'][:, i] = mu[2 + i] + ST['sigma_sq'][:, i] = sigma_sq[2 + i] + ST['sigma'][:, :, i] = sigma[2 + i] + + R = {'samples': samples[corr_timeseries.n_distributions - 1], + 'mu': mu[corr_timeseries.n_distributions - 1], + 'sigma_sq': sigma_sq[corr_timeseries.n_distributions - 1], + 'sigma': sigma[corr_timeseries.n_distributions - 1]} + + cmap = cm.get_cmap('coolwarm', discr_nmb) + norm = Normalize(vmin=-(discr_nmb // 2), vmax=(discr_nmb // 2)) + + if co_point == 0: + helper_co_dep = 0 + elif abs(co_point) > len(ts_means[0]) * corr_timeseries.n_distributions: + print('Covariance point set too high, plotting without dependency plot.\n') + helper_co_dep = 0 + elif co_point in stamp_indices: + helper_co_dep = 1 + else: + helper_co_dep = 1 + print('Covariance point is out of time_stamp-Range.\n') + + if helper_co_dep == 1: + interactive_pointer = co_point + cov_mat = _reconstruct_covariance_matrix(cov_mat) + cor_mat = _compute_correlation_matrix(cov_mat) + plot_back = cor_mat[interactive_pointer, :] + + sigmalvl = [0, 0.674490, 2.575829] + + part_factor = 5 + max_sigmalvl = np.max(sigmalvl) + ceil_max_sigmalvl = np.ceil(max_sigmalvl) + lower_limit = np.min(y['mu'] - ceil_max_sigmalvl * y['sigma_sq']) + upper_limit = np.max(y['mu'] + ceil_max_sigmalvl * y['sigma_sq']) + y['lims'] = [1, len(y['mu']), lower_limit, upper_limit] + y['lims'][2] -= helper_co_dep * 1 / part_factor * (y['lims'][3] - y['lims'][2]) + maxyheight = [(y['lims'][3] - y['lims'][2]) / (part_factor + 1) / 2] + ymid = [y['lims'][2] + maxyheight[0]] + + lower_limit = np.min(LT['mu'] - ceil_max_sigmalvl * LT['sigma_sq']) + upper_limit = np.max(LT['mu'] + ceil_max_sigmalvl * LT['sigma_sq']) + LT['lims'] = [1, len(LT['mu']), lower_limit, upper_limit] + LT['lims'][2] -= helper_co_dep * 1 / part_factor * (LT['lims'][3] - LT['lims'][2]) + maxyheight.append((LT['lims'][3] - LT['lims'][2]) / (part_factor + 1) / 2) + ymid.append(LT['lims'][2] + maxyheight[1]) + + ST['lims'] = np.zeros((4, ST['mu'].shape[1])) + for i in range(num_periods): + lower_limit = np.min(ST['mu'][:, i] - ceil_max_sigmalvl * ST['sigma_sq'][:, i]) + upper_limit = np.max(ST['mu'][:, i] + ceil_max_sigmalvl * ST['sigma_sq'][:, i]) + ST['lims'][:, i] = [1, len(ST['mu'][:, i]), lower_limit, upper_limit] + ST['lims'][2, i] -= helper_co_dep * 1 / part_factor * (ST['lims'][3, i] - ST['lims'][2, i]) + maxyheight.append((ST['lims'][3, i] - ST['lims'][2, i]) / (part_factor + 1) / 2) + ymid.append(ST['lims'][2, i] + maxyheight[-1]) + + lower_limit = np.min(R['mu'] - ceil_max_sigmalvl * R['sigma_sq']) + upper_limit = np.max(R['mu'] + ceil_max_sigmalvl * R['sigma_sq']) + R['lims'] = [1, len(R['mu']), lower_limit, upper_limit] + R['lims'][2] -= helper_co_dep * 1 / part_factor * (R['lims'][3] - R['lims'][2]) + maxyheight.append((R['lims'][3] - R['lims'][2]) / (part_factor + 1) / 2) + ymid.append(R['lims'][2] + maxyheight[-1]) + + x = np.linspace(0, timesteps, timesteps + 1) + + plt.subplot(3 + num_periods, 1, 1) + if helper_co_dep == 1: + j = 0 + for i in range(1, len(plot_back) + 1): + if i - 1 == co_point and (i % timesteps) > time_stamp[0] and (i % timesteps) < time_stamp[1]: + k = (i % timesteps) - time_stamp[0] + thickness = (time_stamp[1] - time_stamp[0]) / 500 + xdif = x[k] - x[k -1] + xp = [x[k-1] - thickness * xdif, x[k-1] + thickness * xdif, x[k-1] + thickness * xdif, x[k-1] - thickness * xdif] + yss = ymid[j] + diff = maxyheight[j] + yp = [yss - diff, yss - diff, yss + diff + part_factor * diff * 2, yss + diff + part_factor * diff * 2] + plt.fill(xp, yp, color=[0, 0, 0], edgecolor='none', alpha=1) + + if (i % timesteps) != 0 and (i % timesteps) > time_stamp[0] and (i % timesteps) <= time_stamp[1]: + maxc = max(abs(plot_back[(j) * timesteps: (j + 1) * timesteps])) + if maxc > 0: + yss = ymid[j] + diff = maxyheight[j] + if plot_back[i-1] > 0: + neg_cont = yss + pos_cont = yss + plot_back[i-1] / maxc * diff + else: + neg_cont = yss + plot_back[i-1] / maxc * diff + pos_cont = yss + col_ind = int(np.ceil(plot_back[i-1] / maxc * (discr_nmb // 2))) + else: + yss = ymid[j] + neg_cont = yss + pos_cont = yss + col_ind = 0 + color = cmap(norm(col_ind)) + k = (i % timesteps) - time_stamp[0] + xdif = x[k] - x[k-1] + xp = [x[k-1] - 1 / 2 * xdif, x[k-1] + 1 / 2 * xdif, x[k-1] + 1 / 2 * xdif, x[k-1] - 1 / 2 * xdif] + yp = [neg_cont, neg_cont, pos_cont, pos_cont] + plt.fill(xp, yp, color=color, edgecolor=color, alpha=1) + + elif i % timesteps == 0 and timesteps == time_stamp[1]: + maxc = max(abs(plot_back[(j) * timesteps: (j + 1) * timesteps])) + if maxc > 0: + yss = ymid[j] + diff = maxyheight[j] + if plot_back[i-1] > 0: + neg_cont = yss + pos_cont = yss + plot_back[i-1] / maxc * diff + else: + neg_cont = yss + plot_back[i-1] / maxc * diff + pos_cont = yss + col_ind = int(np.ceil(plot_back[i-1] / maxc * (discr_nmb // 2))) + else: + yss = ymid[j] + neg_cont = yss + pos_cont = yss + col_ind = 0 + color = cmap(norm(col_ind)) + k = time_stamp[1] - time_stamp[0] + xdif = x[k] - x[k-1] + xp = [x[k-1] - 1 / 2 * xdif, x[k-1] + 1 / 2 * xdif, x[k-1] + 1 / 2 * xdif, x[k-1] - 1 / 2 * xdif] + yp = [neg_cont, neg_cont, pos_cont, pos_cont] + plt.fill(xp, yp, color=color, edgecolor=color, alpha=1) + + + if i % timesteps == 0 and i < len(plot_back): + j += 1 + plt.subplot(3 + num_periods, 1, j + 1) + + plt.subplot(3 + num_periods, 1, 1) + _plot_data(y, plot_type, n_samples, samples_colored, colorblind_safe, line_width) + plt.title("input data") + + plt.subplot(3 + num_periods, 1, 2) + _plot_data(LT, plot_type, n_samples, samples_colored, colorblind_safe, line_width) + plt.title("trend component") + + for i in range(num_periods): + plt.subplot(3 + num_periods, 1, 2 + i + 1) + temp = {'mu': ST['mu'][:, i], 'sigma_sq': ST['sigma_sq'][:, i], 'sigma': ST['sigma'][:, :, i]} + if plot_type in ["comb", "spaghetti"]: + temp['samples'] = ST['samples'][:, :, i] + _plot_data(temp, plot_type, n_samples, samples_colored, colorblind_safe, line_width) + plt.title(f"seasonal component {i + 1}") + + plt.subplot(3 + num_periods, 1, 3 + num_periods) + _plot_data(R, plot_type, n_samples, samples_colored, colorblind_safe, line_width) + plt.title("residual component") + + fig = plt.gcf() + axs = plt.gca() + + if show_plot: + fig.tight_layout() + plt.show() + + return fig, axs + +def plot_correlation_matrix( + corr_timeseries : CorrelatedDistributions, + fig=None, + axs=None, + discretize=True, + show_plot=False): + """ + Plot correlation matrix for the timeseries data. + + Parameters + ---------- + corr_timeseries : CorrelatedDistributions object + An instance of the CorrelatedDistributions class. + fig : matplotlib.figure.Figure or None, optional + Figure object to use for plotting. If None, a new figure will be created. + axs : matplotlib.axes.Axes or array of Axes or None, optional + Axes object(s) to use for plotting. If None, new axes will be created. + discretize : bool, optional + If True, discretize the colormap. Default is True. + show_plot : bool, optional + If True, display the plot. + Default is False. + + Returns + ------- + matplotlib.figure.Figure + The figure object containing the plot. + list + List of Axes objects used for plotting. + """ + + line_width = 2.5 + discr_nmb = 13 + ts_length = len(corr_timeseries.distributions[0].mean()) + total_len = ts_length * corr_timeseries.n_distributions + cov_mat = corr_timeseries.covariance_matrix + cov_mat = _reconstruct_covariance_matrix(cov_mat) + cor_mat = _compute_correlation_matrix(cov_mat) + + if fig is None: + fig = plt.figure(figsize=(8, 8)) + + plt.suptitle('Correlation Matrix') + + cmap = 'coolwarm' if not discretize else mcolors.ListedColormap(plt.cm.coolwarm(np.linspace(0, 1, discr_nmb))) + + if discretize: + norm = mcolors.BoundaryNorm(np.linspace(-1, 1, discr_nmb + 1), cmap.N) + plt.imshow(cor_mat, cmap=cmap, norm=norm) + else: + plt.imshow(cor_mat, cmap=cmap) + + plt.colorbar() + + for i in range(1, corr_timeseries.n_distributions): + plt.plot([(i - 1) * ts_length + 0.5 + ts_length] * total_len, ':', color='white', linewidth=line_width) + plt.plot([(i - 1) * ts_length + ts_length + 0.5] * total_len, np.linspace(0, total_len - 1, total_len), ':', color='white', linewidth=line_width) + + plt.clim(-1, 1) + + fig = plt.gcf() + axs = plt.gca() + + if show_plot: + fig.tight_layout() + plt.show() + + return fig, axs + +def plot_corr_length( + timeseries, + fig=None, + axs=None, + show_plot=False): + """ + Plot correlation length for single uncertain timeseries data. + + Parameters + ---------- + timeseries : Timeseries object + An instance of the TimeSeries class, which represents a univariate time series. + fig : matplotlib.figure.Figure or None, optional + Figure object to use for plotting. If None, a new figure will be created. + axs : matplotlib.axes.Axes or array of Axes or None, optional + Axes object(s) to use for plotting. If None, new axes will be created. + show_plot : bool, optional + If True, display the plot. + Default is False. + + Returns + ------- + matplotlib.figure.Figure + The figure object containing the plot. + list + List of Axes objects used for plotting. + """ + multi_distr_present = False + fig, axs = _plot_correlation_length_data(timeseries, multi_distr_present, fig, axs, show_plot) + + return fig, axs + +def plot_correlated_corr_length( + corr_timeseries, + fig=None, + axs=None, + show_plot=False): + """ + Plot correlation length for correlated uncertain timeseries data. + + Parameters + ---------- + corr_timeseries : CorrelatedDistributions object + An instance of the CorrelatedDistributions class. + fig : matplotlib.figure.Figure or None, optional + Figure object to use for plotting. If None, a new figure will be created. + axs : matplotlib.axes.Axes or array of Axes or None, optional + Axes object(s) to use for plotting. If None, new axes will be created. + show_plot : bool, optional + If True, display the plot. + Default is False. + + Returns + ------- + matplotlib.figure.Figure + The figure object containing the plot. + list + List of Axes objects used for plotting. + """ + multi_distr_present = True + fig, axs = _plot_correlation_length_data(corr_timeseries, multi_distr_present, fig, axs, show_plot) + + return fig, axs \ No newline at end of file diff --git a/uadapy/temporal/uastl.py b/uadapy/temporal/uastl.py new file mode 100644 index 0000000..13d131c --- /dev/null +++ b/uadapy/temporal/uastl.py @@ -0,0 +1,278 @@ +import numpy as np +from uadapy import TimeSeries, CorrelatedDistributions +from scipy.stats import multivariate_normal + +def _convmtx(h, n): + h = np.array(h) + m = len(h) + H = np.zeros((m + n - 1, n)) + + # Fill the transposed convolution matrix + for i in range(m + n - 1): + for j in range(n): + if i - j >= 0 and i - j < m: + H[i, j] = h[i - j] + + return H + +def _loessmtx(a, s, d, omega=None): + # Initialization and checks + if isinstance(a, int): + n = a + a = np.arange(1, n + 1) + elif isinstance(a, (list, np.ndarray)) and len(np.shape(a)) == 1: + a = np.array(a) + n = len(a) + else: + raise ValueError("loessmtx: related positions a must be a vector or an integer.") + + a = a.reshape(-1, 1) + + if omega is None: + omega = np.ones(n) + else: + omega = np.array(omega).reshape(-1, 1) + + if s < 4: + raise ValueError("loessmtx: span s is too small, it should be at least 4.") + + s = int(min(s, n)) + + B = np.zeros((n, n)) + + for i in range(n): + # Find the s-nearest neighbors of a_i + distances = np.abs(a - a[i]) + idx = np.argsort(distances, axis=0)[:s].flatten() + + # Center positions + a_tild = a[idx] - a[i] + + # Compute scaling + a_tild_abs = np.abs(a_tild) + scaling = (1 - (a_tild_abs / np.max(a_tild_abs))**3)**3 + + # Define Vandermonde matrix + V = np.vander(a_tild.flatten(), N=d+1, increasing=True) + + # Compute diagonal matrix + D = np.diag((scaling.flatten() * omega[idx].flatten())) + + # Weighted linear least squares solution + try: + pinv_VDV = np.linalg.pinv(V.T @ D @ V) + except np.linalg.LinAlgError: + pinv_VDV = np.linalg.pinv(V.T @ D @ V + np.eye(V.shape[1]) * 1e-10) + a_i = np.zeros(n) + a_i[idx] = ((np.arange(1, d+2) == 1).astype(int)) @ (pinv_VDV @ V.T @ D) + + # Insert row to loess matrix B + B[i, :] = a_i + + return B + +def _decompose_distribution(result, timesteps, num_periods): + """ + Decomposes the result dictionary into a list of time series and a block-structured covariance matrix. + + Parameters + ---------- + result : dict + Dictionary containing 'mu_new' (means) and 'sigma_new' (covariance matrix). + timesteps : int + Number of timesteps in each component. + num_periods : int + Number of independent periods (or components). + + Returns + ------- + tuple + A list of time series (TimeSeries objects) and a block-structured covariance matrix. + """ + means = result['means'] + cov = result['covs'] + num_components = num_periods + 3 + + # Create a list to hold time series objects + ts_list = [] + for i in range(num_components): + start = i * timesteps + end = (i + 1) * timesteps + mean_vec = means[start:end].flatten() + comp_cov = cov[start:end, start:end] + ts_list.append(TimeSeries(multivariate_normal(mean_vec, comp_cov, allow_singular=True), timesteps)) + + # Create a block-structured covariance matrix + block_cov = [] + for i in range(num_components): + row = [] + for j in range(num_components): + start_i = i * timesteps + end_i = (i + 1) * timesteps + start_j = j * timesteps + end_j = (j + 1) * timesteps + row.append(cov[start_i:end_i, start_j:end_j]) + block_cov.append(row) + + return ts_list, block_cov + +def apply_uastl(mean, cov, periods, timesteps): + """ + Applies UAMDS to the specified normal distributions (given as means and covariance matrices). + + Parameters + ---------- + mean : list + Vectors that resemble the mean of the normal distributions + cov : list + Matrix that resemble the covariance of the normal distributions + periods : list + Periods for STL + timesteps : int + The time steps of the time series + + Returns + ------- + dict + dictionary containing the results: + :: + ['means']: list of projected means + ['covs']: list of projected covariances + """ + + n = timesteps + l = len(periods) + robust = False + n_o = 1 + n_i = 2 + n_t = 5 + n_s = [np.maximum(2 * (np.ceil(n / p).astype(int) // 2) + 1, 5) for p in periods] + n_l = [np.maximum(2 * (p // 2) + 1, 5) for p in periods] + n_t = [2 * (int((1.5 * p) / (1 - 1.5 / max(np.ceil(n / p), 5))) // 2) + 1 for p in periods] + post_smoothing_seasonal = True + post_smoothing_trend = True + post_smoothing_trend_n = 5 + post_smoothing_seasonal_n = [np.maximum(2 * (p // 2 // 2) + 1, 5) for p in periods] + post_smoothing_trend_n = np.maximum(2 * (n // 2 // 2) + 1, 5) + + n_hat = (3 + l) * n + mu_new = np.zeros((n_hat, 1)) + mu_new[:n] = np.array(mean).reshape(-1, 1) + sigma_new = np.zeros((n_hat, n_hat)) + sigma_new[:n, :n] = cov + + a_hat_global = np.eye(n_hat) + weights = np.ones(n) + + for outer_loop in range(n_o): + a_hat = np.eye(n_hat) + for inner_loop in range(n_i): + + for k in range(l): + a_delta_t = np.zeros((3+l, 3+l)) + a_delta_t[2+k, 0] = 1 + a_delta_t[2+k, 1:2+k] = -1 + a_delta_t[2+k, 2+k] = 0 + + e_ext = np.zeros((n+2*periods[k], n)) + e_ext[periods[k]:periods[k]+n, :n] = np.eye(n) + e_ext[:periods[k], :periods[k]] = np.eye(periods[k]) + e_ext[-periods[k]:, -periods[k]:] = np.eye(periods[k]) + + e_split = np.zeros((n+2*periods[k], n+2*periods[k])) + b_ns = np.zeros((n+2*periods[k], n+2*periods[k])) + indx = 0 + for i in range(0, periods[k]): + cycle_subseries = np.arange(i-periods[k], i+np.floor((n-i -1)/periods[k])*periods[k]+periods[k] + 1, periods[k]) + periods[k] + len_cs = len(cycle_subseries) + cycle_subseries = cycle_subseries.astype(int) + cycle_subseries_weights = weights[i::periods[k]] + f_e = np.array([cycle_subseries_weights[0]]) + l_e = np.array([cycle_subseries_weights[-1]]) + b_ns[indx:indx+len_cs, indx:indx+len_cs] = _loessmtx(len_cs, n_s[k], 2, np.concatenate((f_e, cycle_subseries_weights, l_e))) + e_split[indx:indx+len_cs, cycle_subseries] = np.eye(len_cs) + indx += len_cs + + h = 3 * np.arange(periods[k]+1).reshape(-1, 1) + h[[0, -1]] += np.array([1, -2]).reshape(-1, 1) + h = np.concatenate((h, h[-2::-1])) / (periods[k]**2 * 3) + + a_l = _convmtx(h, n) + b_nl = _loessmtx(n, n_l[k], 1) + + p_1n = np.zeros((n, n+2*periods[k])) + p_1n[:, periods[k]:periods[k]+n] = np.eye(n) + + a_p = (p_1n - b_nl @ a_l.T) @ e_split.T @ b_ns @ e_split @ e_ext + + a_s_id = np.eye(3+l) + a_s_id[2+k, 2+k] = 0 + + a_hat = (np.kron(a_s_id, np.eye(n)) + np.kron(a_delta_t, a_p)) @ a_hat + + a_t_dash = np.zeros((3+l, 3+l)) + a_t_dash[1, 0] = 1 + a_t_dash[1, 2:2+l] = -1 + a_t_dash[1, 1] = 0 + a_t_id = np.eye(3+l) + a_t_id[1, 1] = 0 + a_hat = (np.kron(a_t_id, np.eye(n)) + np.kron(a_t_dash, _loessmtx(n, n_t[0], 1))) @ a_hat + + if post_smoothing_seasonal: + for k in range(l): + a_s_post = np.zeros((l+3, l+3)) + a_s_post[2+k, 2+k] = 1 + a_hat = (np.kron(np.eye(l+3) - a_s_post, np.eye(n)) + np.kron(a_s_post, _loessmtx(n, post_smoothing_seasonal_n[k], 2))) @ a_hat + + if post_smoothing_trend: + a_hat = (np.kron(a_t_id, np.eye(n)) + np.kron(a_t_dash, _loessmtx(n, post_smoothing_trend_n, 2))) @ a_hat + + tmpmtx = np.eye(l+3) + tmpmtx[l+3-1, 0] = 1 + tmpmtx[l+3-1, 1:l+2] = -1 + tmpmtx[l+3-1, l+3-1] = 0 + a_hat = np.kron(tmpmtx, np.eye(n)) @ a_hat + mu_new = a_hat @ mu_new + sigma_new = a_hat @ sigma_new @ a_hat.T + a_hat_global = a_hat @ a_hat_global + + if robust and outer_loop < n_o - 1: + r = np.random.multivariate_normal(mu_new.flatten(), sigma_new, n) + r = r[:, -n:] + h = 6 * np.median(np.abs(r), axis=0) + u = np.abs(r) / h + u2 = (1 - u**2)**2 + u2[u > 1] = 0 + weights = np.mean(u2, axis=0) + + return {'means': mu_new, 'covs': sigma_new} + + +def uastl(timeseries : TimeSeries, periods : list, seed: int = 0): + """ + Applies the Uncertainty-Aware Seasonal-Trend Decomposition based on Loess for Gaussian distributed data. + + Parameters + ---------- + timeseries : Timeseries object + An instance of the TimeSeries class, which represents a univariate time series. + periods : list + Periods of STL + seed : int + Set the random seed for the initialization, 0 by default + + Returns + ------- + CorrelatedDistributions object + List of time series or distributions with covariance matrix + """ + try: + np.random.seed(seed) + mean = timeseries.mean() + cov = timeseries.cov() + result = apply_uastl(mean, cov, periods, timeseries.timesteps) + ts_list, block_cov = _decompose_distribution(result, timeseries.timesteps, len(periods)) + corr_timeseries = CorrelatedDistributions(ts_list, block_cov) + return corr_timeseries + except Exception as e: + raise Exception(f'Something went wrong. Did you input normal distributions? Exception:{e}') diff --git a/uadapy/timeseries.py b/uadapy/timeseries.py new file mode 100644 index 0000000..4a8a0d5 --- /dev/null +++ b/uadapy/timeseries.py @@ -0,0 +1,214 @@ +from uadapy import distribution +import numpy as np + +class TimeSeries: + """ + The TimeSeries class provides a consistent interface to model an uncertain, univariate time series. + It strongly builds on the Distribution class. + It provides wrapper functions to some of the important functions of the Distribution class + and adds additional convenience functions that are commonly used in time series. + + Attributes + ---------- + distribution: Distribution + The underlying distribution of the time series + timesteps: int + The time steps of the time series + """ + + def __init__(self, model, timesteps, name="", n_dims=1): + """ + Creates a time series object. + The underlying distribution is created in agreement with the Distribution class. + + Parameters + ---------- + model: + A scipy.stats distribution or samples + timesteps: int + The time steps of the time series. + name: str, optional + The name of the distribution + n_dims: int, optional + The dimensionality of the distribution (default is 1) + """ + self.distribution = distribution.Distribution(model, name, n_dims) + self.timesteps = timesteps + + def sample(self, n: int, seed: int = None) -> np.ndarray: + """ + Creates samples from the time series (one specific instance). + + Parameters + ---------- + n : int + Number of samples (time series). + seed : int, optional + Seed for the random number generator for reproducibility, default is None. + + Returns + ------- + np.ndarray + Time series instances that represent samples of the distribution. + """ + return self.distribution.sample(n, seed) + + def pdf(self, x: np.ndarray | float) -> np.ndarray | float: + """ + Computes the probability density function based on the whole + probability distribution of the time series. + + Parameters + ---------- + x : np.ndarray or float + The position where the pdf should be evaluated. + + Returns + ------- + np.ndarray or float + Probability values of the distribution at the given sample points. + """ + return self.distribution.pdf(x) + + def mean(self) -> np.ndarray | float: + """ + Expected value of the time series. + + Returns + ------- + np.ndarray or float + Expected value of the time series. + """ + return self.distribution.mean() + + def cov(self) -> np.ndarray | float: + """ + Covariance of the time series. + + Returns + ------- + np.ndarray or float + Covariance of all time series points. + """ + return self.distribution.cov() + + def variance(self) -> np.ndarray | float: + """ + Variance of the time series. + + Returns + ------- + np.ndarray or float + Variance of the time series. + """ + return self.distribution.cov().diag() + +class CorrelatedDistributions: + """ + Class for managing and analyzing correlated distributions or time series. + + Attributes + ---------- + distributions : list[Distribution] or list[Timeseries] + List of individual distributions or timeseries. + n_distributions : int + Number of distributions or timeseries. + covariance_matrix : np.ndarray + Pairwise covariance matrix of the distributions. + """ + + def __init__(self, distributions: list[distribution.Distribution], covariance_matrix=None): + """ + Initializes the CorrelatedDistributions object. + + Parameters + ---------- + distributions : list[Distribution] + A list of Distribution objects. + covariance_matrix : np.ndarray + Pairwise covariance matrix of the distributions. + """ + self.distributions = distributions + self.n_distributions = len(distributions) + self._check_covariance_matrix_consistency(covariance_matrix) + self.covariance_matrix = covariance_matrix + + def _check_covariance_matrix_consistency(self, covariance_matrix) -> bool: + """ + Checks if the provided covariance matrix matches the covariances computed from the distributions. + + Returns + ------- + bool + True if the covariance matrix matches, False otherwise. + """ + + if covariance_matrix is None: + raise ValueError("Covariance matrix must be provided to validate the distributions.") + + for i in range(self.n_distributions): + computed_variance = self.distributions[i].cov() + if not all(np.allclose(arr1, arr2, atol=1e-8) for arr1, arr2 in zip(computed_variance, covariance_matrix[i][i])): + raise ValueError( + f"Variance of distribution {i} does not match the provided covariance matrix." + ) + + return True + + def mean(self, dim_i: int) -> float: + """ + Returns the mean of the i-th distribution. + + Parameters + ---------- + dim_i : int + Index of the distribution. + + Returns + ------- + float + Mean of the i-th distribution. + """ + return self.distributions[dim_i].mean() + + def cov(self, dim_i: int, dim_j: int) -> np.ndarray | float: + """ + Returns the covariance matrix between two distributions. + + Parameters + ---------- + dim_i : int + Index of the first distribution. + dim_j : int + Index of the second distribution. + + Returns + ------- + np.ndarray + Covariance matrix between i-th and j-th distribution. + """ + return self.covariance_matrix[dim_i][dim_j] + + def sample(self, n_samples: int, seed: int = None) -> np.ndarray: + """ + Samples from the joint distribution of all correlated distributions in block structure. + + Parameters + ---------- + n_samples : int + Number of samples to draw. + seed : int, optional + Seed for random number generation. + + Returns + ------- + np.ndarray + Samples from the joint distribution. + """ + np.random.seed(seed) + means = np.concatenate([dist.mean() for dist in self.distributions]) + block_rows = [np.concatenate(row, axis=1) for row in self.covariance_matrix] + covariance_matrix = np.concatenate(block_rows, axis=0) + joint_samples = np.random.multivariate_normal(means, covariance_matrix, size=n_samples) + + return joint_samples \ No newline at end of file