diff --git a/docs/source/notebooks/GLM-hierarchical-advi-minibatch.ipynb b/docs/source/notebooks/GLM-hierarchical-advi-minibatch.ipynb index 4fc084d6c8..8099929ef1 100644 --- a/docs/source/notebooks/GLM-hierarchical-advi-minibatch.ipynb +++ b/docs/source/notebooks/GLM-hierarchical-advi-minibatch.ipynb @@ -11,14 +11,20 @@ { "cell_type": "code", "execution_count": 1, - "metadata": { - "collapsed": false - }, - "outputs": [], + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "env: THEANO_FLAGS=device=cpu, floatX=float32, warn_float64=ignore\n" + ] + } + ], "source": [ "%matplotlib inline\n", + "%env THEANO_FLAGS=device=cpu, floatX=float32, warn_float64=ignore\n", "import theano\n", - "theano.config.floatX = 'float64'\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import pymc3 as pm \n", @@ -28,7 +34,8 @@ "\n", "county_names = data.county.unique()\n", "county_idx = data['county_code'].values\n", - "n_counties = len(data.county.unique())" + "n_counties = len(data.county.unique())\n", + "total_size = len(data)" ] }, { @@ -42,28 +49,23 @@ "cell_type": "code", "execution_count": 2, "metadata": { - "collapsed": false, + "collapsed": true, "scrolled": true }, "outputs": [], "source": [ "import theano.tensor as tt\n", "\n", - "log_radon_t = tt.vector()\n", - "log_radon_t.tag.test_value = np.zeros(1)\n", - "floor_t = tt.vector()\n", - "floor_t.tag.test_value = np.zeros(1)\n", - "county_idx_t = tt.ivector()\n", - "county_idx_t.tag.test_value = np.zeros(1, dtype='int32')\n", - "\n", - "minibatch_tensors = [log_radon_t, floor_t, county_idx_t]" + "log_radon_t = pm.Minibatch(data.log_radon.values, 100)\n", + "floor_t = pm.Minibatch(data.floor.values, 100)\n", + "county_idx_t = pm.Minibatch(data.county_code.values, 100)" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { - "collapsed": false + "collapsed": true }, "outputs": [], "source": [ @@ -92,7 +94,7 @@ " radon_est = a[county_idx_t] + b[county_idx_t] * floor_t\n", " \n", " # Data likelihood\n", - " radon_like = pm.Normal('radon_like', mu=radon_est, sd=eps, observed=log_radon_t)" + " radon_like = pm.Normal('radon_like', mu=radon_est, sd=eps, observed=log_radon_t, total_size=len(data))" ] }, { @@ -102,17 +104,6 @@ "Random variable 'radon_like', associated with 'log_radon_t', should be given to the function for ADVI to denote that as observations in the likelihood term. " ] }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "minibatch_RVs = [radon_like]" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -120,28 +111,6 @@ "On the other hand, 'minibatches' should include the three variables above. " ] }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "def minibatch_gen(data):\n", - " rng = np.random.RandomState(0)\n", - " \n", - " while True:\n", - " ixs = rng.randint(len(data), size=100)\n", - " yield data.log_radon.values[ixs],\\\n", - " data.floor.values[ixs],\\\n", - " data.county_code.values.astype('int32')[ixs]\n", - "\n", - "minibatches = minibatch_gen(data)\n", - "\n", - "total_size = len(data)" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -151,26 +120,21 @@ }, { "cell_type": "code", - "execution_count": 6, - "metadata": { - "collapsed": false - }, + "execution_count": 4, + "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "Average ELBO = -1,113.44: 100%|██████████| 40000/40000 [00:18<00:00, 2135.78it/s]\n", - "Finished minibatch ADVI: ELBO = -1,037.40\n" + "Average Loss = 1,123.9: 100%|██████████| 100000/100000 [00:29<00:00, 3391.31it/s]\n", + "Finished [100%]: Average Loss = 1,124\n" ] } ], "source": [ - "means, sds, elbos = pm.variational.advi_minibatch(\n", - " model=hierarchical_model, n=40000, minibatch_tensors=minibatch_tensors, \n", - " minibatch_RVs=minibatch_RVs, minibatches=minibatches, \n", - " total_size=total_size, learning_rate=1e-2, epsilon=1.0\n", - ")" + "with hierarchical_model:\n", + " approx = pm.fit(100000, callbacks=[pm.callbacks.CheckParametersConvergence(tolerance=1e-4)])" ] }, { @@ -182,24 +146,24 @@ }, { "cell_type": "code", - "execution_count": 7, - "metadata": { - "collapsed": false - }, + "execution_count": 5, + "metadata": {}, "outputs": [ { - "name": "stderr", - "output_type": "stream", - "text": [ - "/opt/conda/lib/python3.5/site-packages/matplotlib/font_manager.py:1297: UserWarning: findfont: Font family ['sans-serif'] not found. Falling back to DejaVu Sans\n", - " (prop.get_family(), self.defaultFamily[fontext]))\n" - ] + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" }, { "data": { - "image/png": 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6Nv89aitLh6mW9Eq5KGR4Zv4o/HlT635Gul9Pb4tjSmxVf9nC+LZKS6wF+guL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\nuGbNGrGurq5D6/LII4+IU6ZMEadMmSI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BmjVrsHnzZnz44Yf44YcfsHr1asyePRubN29GWFgYduzYAYPBgDVr1mDDhg3YtGkTNm7c\nCL1ej927dyMwMBBbtmzBvHnzsGrVKmdfl0fiZDQiInIGu8JbrVZjzJgx6NatG1QqFV577TWkpaVh\n4sSJAIAJEyZArVYjIyMDERERUCgU8PPzw4gRI6DRaKBWqxEbGwsAiI6Ohkajcd4VdRLsnBMRUXPs\nGjbPyclBdXU15s2bh7KyMjz//POoqqqCXC4HAISGhkKr1UKn0yEkJMT2vpCQkEblUqkUEokERqPR\n9n5v1t6FXLjwCxGR97H7nrder8d7772Ha9eu4bHHHoNQ70au0MxN3faW1xcc7A+ZzMe+yrZAqVQ4\n7VzyLrXNKfORNnneuvp36SJr9u/6+squ/69Pg2OCgvybfE9llcn2szOvpT3c9Xc7E7ah49iGjmMb\nOq6j2tCu8A4NDcXdd98NmUyGfv36ISAgAD4+Pqiuroafnx8KCgqgUqmgUqmg0+ls7yssLMTw4cOh\nUqmg1WoRHh4Ok8kEQRBa7XWXlBjsqWqLlEoFtNpyp53PWGMGAJgt1ibPazZbAAA1NeZm/67JZL7+\nv5YGx+j1Bmi7Nv6/y1Bttv3szGtpK2e3oTdiGzqObeg4tqHjXNGGzX0ZsOue97hx43D48GFYrVaU\nlJTAYDAgOjoae/bsAQDs3bsXMTExiIyMRGZmJsrKylBZWQmNRoORI0di7NixSE5OBgCkpKQgKirK\nzssiIiLyPnb1vHv06IEHH3wQM2bMAAAsXrwYERERWLhwIbZt24ZevXph2rRp8PX1RUJCAubOnQuJ\nRIL4+HgoFApMnToVqampmDVrFuRyOZKSkpx6UR6L96eJiMgJ7L7nPXPmTMycObNB2ccff9zouClT\npmDKlCkNyuqe7aa247PhRERUhyuseSqmNRERNYPhLXJ8VIyIyPt4bXiXVRrxY3p2mx5T82Qirz4R\nEdnB7nveYvfiu4cAAEPDgvGn2NvR65YAN9foJuxSExFRM7y2513n9JUSLF6X1qF/U+y9fSIici+v\nD+86Xx26BAAwma04e7UEVhcErMSBZ8UErnZORETXeeWw+blsfaOyrw5dwleHLiGshwJXCsrx5ylD\nMH54bzfU7jr2zomIqBle2fM+e7Wk2deuFNQubbcx+SyeSPoRuw5dgk5f1VFVa1GN0eLuKhARkQfw\nyvA+eDyvzcd+eegS/v7RERfWpm0yLxThr28dQIomp0E557UREXkfrwxvXWl1u46vMVqgr6hxUW3a\nJvVEPgBgb3pOK0cSEVFn55XhbY+/vfczLFYrKuptwekJeGuciMj7eOWENXs9tXw/AODeoSo8POY2\n9FF1AwBUVJnQratvm8/DvCUiIkew522HI6cLseT6ffDv0q5g/jsH8es5betv5P1pIiJyAoa3g1I0\nuQCAo20J73a4uXfe3vv0RETUeXlleI+5s4dTzrMvPdsWqoVOepxMwunjRETUCq8M765dnHOrf/O+\n87afs3JKnXLO9mLWExF5H6+csObIMqUtyS6sAADkaishCIKtF11RZcL7X2TiSn65S/4uERF5F6/s\nebtq4lj9ofPMi0W2n/elZ+PM1cZLsjoDHxUjIvI+XhneHTHUXFhyI8itDFgiInIirwxvaQekd0aW\nDpfyylz+d1pSVWPG4ZP5MFusbq0HERE5l1eGd0c4ebkEr21Mt3vvbmd01j/65jT+8/Up/Hj9cTYi\nIuocGN4u1tT2ox0lK7d2BnxeUaXb6kBERM7nleHdkY9XlRlcuxY6HxUjIvI+3hneHbhOaWV14/AW\nBODI6QJbz5iIiKg9vDK8O3KN8f8mn2305zIvFuHDr07ijU1Hm32fM6rISe5ERJ2TV4Z3R480txai\n5QYjnlqegu9/yW7/uduQ0BxZJyLqXLwyvDva7tTLLb5+8nIxLFYBW3443+JxREREgLeGtwd1Ratq\nzE2WO2XIm8uvERF1Sl4Z3h05Ya018f/6CWWVNya1VRubDvM6FQYjBEGAlcu2ERF5Le8Mb8/JbgDA\nNd2N57Av5bW8eUlltRnx//oJz6zcD6CVa/G0CyUiIqfwyl3F/P0867Lbm7HVRotrKkJERKLglT3v\nSff0cXcVGrC4agic97yJiDolrwxvmY9nXfah43l2vS8rt7Rt+czhcyKiTsWzUozapaVFXoiIqPNi\neHsqJ4x4c9CciKhzYnh7KJPZilOXi51yLg6aExF1LgxvD3WloBwrtx5zdzWIiMgDeWV4S7xsAheH\nz4mIOhevDG9vU1xW3ewyrEREJD4OhXd1dTUmTZqEzz//HHl5eZgzZw5mz56NF154AUajEQCwa9cu\nPPLII5g+fTq2b98OADCZTEhISMCsWbMQFxeH7Oz276ZFbXf8QhH+tuZnd1eDiIicxKHw/uCDD9C9\ne3cAwOrVqzF79mxs3rwZYWFh2LFjBwwGA9asWYMNGzZg06ZN2LhxI/R6PXbv3o3AwEBs2bIF8+bN\nw6pVq5xyMd6pbYPiNVyVjYio07A7vC9cuICsrCzcf//9AIC0tDRMnDgRADBhwgSo1WpkZGQgIiIC\nCoUCfn5+GDFiBDQaDdRqNWJjYwEA0dHR0Gg0jl8JNcIF1oiIOie7w3vZsmVITEy0/V5VVQW5XA4A\nCA0NhVarhU6nQ0hIiO2YkJCQRuVSqRQSicQ2zN5R7uwf0vpBREREHsiuHTq+/PJLDB8+HH379m3y\ndaGZLl97y+sLDvaHTObT9kq2IijQz2nncqfQWxS2n5VKRYPXpNKGs+pvft1ZXHVeb8I2dBzb0HFs\nQ8d1VBvaFd779+9HdnY29u/fj/z8fMjlcvj7+6O6uhp+fn4oKCiASqWCSqWCTqezva+wsBDDhw+H\nSqWCVqtFeHg4TCYTBEGw9dqbU1JisKeqzQqQO++LgDsV6W5sIarVNtxO9OY9v29+3RmUSoVLzutN\n2IaOYxs6jm3oOFe0YXNfBuwaNn/77bexc+dOfPbZZ5g+fTqeffZZREdHY8+ePQCAvXv3IiYmBpGR\nkcjMzERZWRkqKyuh0WgwcuRIjB07FsnJyQCAlJQUREVF2XlZ9ns4+rYO/5tERETO4LSNrZ9//nks\nXLgQ27ZtQ69evTBt2jT4+voiISEBc+fOhUQiQXx8PBQKBaZOnYrU1FTMmjULcrkcSUlJzqpGm3Xr\n6tvhf5OIiMgZHA7v559/3vbzxx9/3Oj1KVOmYMqUKQ3KfHx88Oabbzr6pwlcPY2IyBtxhTUAoYFd\n3F0Fp/jsxyx3V4GIiDoAwxtAvx6dY4Zl8pGrKC6rdnc1iIjIxbw6vG/rGWj7+S9Tw91YE+f5v/dT\noa+ocXc1iIjIhbw6vOuLGdbL3VVwGvXJfHdXgYiIXMirw7vfrbXD5T2C/d1cE/u1tFtYWxa/ISIi\n8XHao2Ji9NdHItEn1F/Uve4FH6gbFzKziYg6Na8O725dfTFpZNNLvIpZVm6pu6tAREQu5NXD5p3V\nr+drl6SVSCStHElERGLE8O7EHL3nXVRajVOXi51UGyIichaGNzXrpQ9SsXLrMZQbOna7ViIiahnD\nu543nh7t7io4TUuz0Nur2mhx2rmIiMhxDO96bg3xx5udJMDf/ESDyur2B/ju1Ms4zOfEiYg8mlfP\nNm9KjxDxPvNdX462wq73ff7TRQDA6DtvtZXxyTMiIs/CnjdBc06L5Zs1MJo4PE5EJAbseRPe+zwT\nAJB5scjNNSEiorZgeDdh8WMj0a2rDIn/PuzuqjhVUWk1QgK7wGIVIJVKkLDmZ9w9WFnvCD4XTkQk\nBgzvJgzoFdj6QSL03z1n4SOV4FiWDu/MH4fSCiP2/5rb+hu5RjoRkUdheHuRGpMF57L1AIAyg8nN\ntSEiIntxwhrZnORqakREosDw9iJ1vW4ATQ6FNzeEzkFzIiLPwvAmIiISGYa3lyoqq3F3FYiIyE4M\nby91Ob+sxderjc5bG52IiJyL4e2tWrmRrT5Z0OZjiYioYzG8vVRBSVWLrzu6FzgREbkOw9tLqVvZ\nOayp7D5yugB5RZUuqhEREbUVF2mhVlVUmSAvr8GHX50EAHyU+ICba0RE5N3Y825BeL+gJsu7dfXt\n4Jq41+ubjrY4gW3rD+fx7eErHVgjIiLvxp53C/53RiQu5ZXj7NUSfHHwEp757Z2IHBSKI6cLseG7\nM+6unsfY+0s2AGDq6DA314SIyDswvFvgK/PB7X2DcHvfIEyJCoOvzHsGKnSlLU9oIyIi9/GeNHKQ\nNwU3AOw5kt3g96oai5tqQkREN/OuRCK7/fO/6bafywxG289ZOfoGxxmqTU0+Znb4VD5Kyj1zVbfT\nl4ux58hVd1eDiKjNGN52iBx0CyTwvolrdRavTbP9/L//OmD7ObuwAs+9fRCffH8OJrPVVn4uW4//\n7DqFf2z4pUPr2VYrth7Dth+zUFXDVeWISBwY3nboHiDH+sQHcP/dvdxdFbeoqDIh/UwhcrQVDcpP\nXykBAKRocvHMyv22cn1FbY+7tNIIT8Z1aYhILDhhzQHe/I/9+1+eaFwo+gZpuf6/ntMi9WQ+/vq7\nuyCVSjqoTkREjbHn7QBJvX+/n/6fOzDzgUHuq4wHuDn6rhaUQxAEVBubnuwmCAJSfs2FTi+Ome3v\nfp6Jo2e1uHit5U1diIhcjT1vB8SO7IusnFLcM0SFqDt6wGIVsPXHLHdXy22KSqsb/L70419w//Be\n2H/sWpPHn7xUjE17zqJbV1+sfiGmwWsmsxVppwow4nYl/P3a/jGtqDLBT+4DmU/7v5e2ddxA4E4t\nRORm7Hk7QOEvx4LZIzDxnj6QSCSQ+UhxZ/8Qd1fLbfYdzWlUdnNw15+JXlRWG/YVVSbba/uP5aKg\nxIA9R67io29PY2Ny2xfDqTFZMP+dg3ZPjBP9qD8ReQ27e97Lly/H0aNHYTab8cwzzyAiIgILFiyA\nxWKBUqnEihUrIJfLsWvXLmzcuBFSqRQzZszA9OnTYTKZkJiYiGvXrsHHxwdvvvkm+vbt68zrcruB\nvQIRO6qvbT1wqjV3WQqGhgXjyYfvwMbks7byJ5J+xF+n3YX/Jp+FRHIjSC/ltX2I2lBdO1s8R8vN\nU4ioc7Or53348GGcP38e27Ztw7p16/DGG29g9erVmD17NjZv3oywsDDs2LEDBoMBa9aswYYNG7Bp\n0yZs3LgRer0eu3fvRmBgILZs2YJ58+Zh1apVzr4utxnYKxAAMLhPEPr3DLSVd+8md1eVPM7pKyVI\nWPNzo/JtP54H0HwP+NPvz+GHJnr3TTlxscju+hEReTq7wnvUqFF45513AACBgYGoqqpCWloaJk6c\nCACYMGEC1Go1MjIyEBERAYVCAT8/P4wYMQIajQZqtRqxsbEAgOjoaGg0Giddjvs9HH0bXpweid/f\nNwAhgV2gCuqK343rjz/cN8DdVfN4xWWNF3ERBAEWqxWX8srww9EcfPr9OZy4WITPfsyCrrQKhSUG\nZBdWNHrfW59ltHtP8u0pWbbH3W6WfqawXedqzpHTBchpor5ERO1h17C5j48P/P39AQA7duzAfffd\nh0OHDkEur+1dhoaGQqvVQqfTISTkxj3gkJCQRuVSqRQSiQRGo9H2fjGT+UgxbGCo7fekeWMAAD9n\n5rX63kVz7sEbm466rG5iVFRWg6eW729Q9tZnGQCA5HqrojW1TempyyXo4uuD23oq2jSB7eDxPBw8\nnoePEh9AdmEFghVdbAvxNPloXAvKDEZs2nMW02IGoPctAQCA4xd0Dm2rmvSpBr1C/fHYlPB2v9cZ\nLFYrfKScJkPkCRyabb5v3z7s2LEDH330ESZPnmwrb67H097y+oKD/SGT+dhX0RYolQqnn7Mp94+S\nY/03pwEA834fgalj+0MikeDUpSK8t/0YnvifuzByaA98PbwPTl0qwsL3DnVIvToLpVIBiW/Dj/M+\nTQ4yzusAAIEBcgy/XYlTF4uw5MnRWPfVCcRNGYq0k42/VD2R9KPt569X/a7R60FB/rbPTe3IgNDo\ny8GWbb/i6Fktjp7V2s7xdr3z3vy5a8vn8Fy2Huey9UiYM6rVY50tv6gSTyX9iLgp4Xg0dkiH//22\n6Kj/ljsztqHjOqoN7Q7vgwcP4sMPP8S6deugUCjg7++P6upq+Pn5oaCgACqVCiqVCjqdzvaewsJC\nDB8+HCoFBol0AAAZbklEQVSVClqtFuHh4TCZatfCbq3XXVJisLeqzVIqFdBqy51+3ubU723pdLVD\np8pucrz6l3sBwFYXZTc55j40FJv3neeSnW30zU9Z2HbTY3p1wQ0AZZVG/PRrLgBg/qr9AIAF7x1s\n9bxxS77Dq3PvbVCm1xug1dZ+XuuC/uae9MXcG2u+N/UZq1/W3s9hR35m6+y/Ptfgk+QzeGC4560s\n2NH/LXdGbEPHuaINm/syYNcYWHl5OZYvX45///vfCAoKAlB773rPnj0AgL179yImJgaRkZHIzMxE\nWVkZKisrodFoMHLkSIwdOxbJyckAgJSUFERFRdlTjU5tbERPrPnf+/By3AhE33Wru6vj8T786qRL\nNj4prTRiw7dNP66WnOb8zUzyiw0wW6ytHme2WHHkdAEqqkw4eakYFmvz77mmq4TJ3PqucFU1ZhhN\nnXP3uBqjBWeulLR7HgSRp7Kr5/3tt9+ipKQEL774oq0sKSkJixcvxrZt29CrVy9MmzYNvr6+SEhI\nwNy5cyGRSBAfHw+FQoGpU6ciNTUVs2bNglwuR1JSktMuqLMZ3CcIg/sE4U+xt+P1TUdxTcfHoDra\nsSxdg9837Tnb6HG079OzMemePjiWpcPtfYMgQcvLp9Zt3OIrk8JktqCiyoRrukokfarBvUNVmPe7\nuwA0fZ9ZX1GDnzPzsPPARVvZ78b1x+/G9bf9brUKkEiAXG0llnx0BOH9grBg9ogW6xT/r58g85Hi\nPy/d3+g1iYtXg7UKAiQAJC76Qx98dQLHLxTh+UcicPdgpUv+BlFHsiu8H330UTz66KONyj/++ONG\nZVOmTMGUKVMalNU9201t17WLDP98MgoLPkiFrrQaAX4y3NYzECcvFbu7al6nqefIt+w7jy37ah91\nG9ArsMESqt+oL+OBEX0aHP/OjgyculyCPsoAVBst0NVbne7I6UI8/VsBOw9cwHeHr2LSyD744/iB\nttf/9t7PiLqjR4PzfXXoUoPwfnJ5ClTBXTEtprbszFU9snJLMbBXYIsB2ZZev6MKSwz4/KeLmDlx\nMIK6dQEAPPvWAYT1UODluHscOrcgCPjnf48iYkAIpsXceMLj+IXaRwdztJUMb+oUuDyqyDwxdSjW\n7j6F/5s5HD1DA1BmMOLXc1pU1VjwWUrDe74tLU1KrnPz2uc7D1xs0EsGamfCA80vKPPkshTbz/vS\nc1BY0nD996aGfwv1VfhWfcX2WGJhSRWk9YL6jU1H8ecpQzB+eO8W619mMMK/i8yuJWbbYu3uU7iQ\nWwajyYopUf1we98gGE1WnM8pbdd51CfycTm/HLMmDbaVVRstuJRXhkt5ZYi6owd6hgY4u/ptotNX\nIUjRxWVt2F41JgsWr03DlKh+mHhPn9bfQB7PMz5Z1GbhYcFYFT/W9o9SoL8c44f3xpSofhjcpzsA\n4Nlpd+FvMyLx2JRw9FN1c2d1yUnqeo51jpxu/Nx54odq/JRxDTsPXLCV3bzC38bkszh9uRhmi7XZ\n+78vrj6ERf85bFu2ti1+OVOIXG3Tz69XVpuQWW/RnLqNao5l6ZD0qQZX8pue4PPJ3rP4/pfsZv/m\n2t2n8H16drP3+//f2jSUGzp+G9rCEgMWfKjGqq3HOvxvN+dCbimKyqrx6ffn3F0Vp+iIESJPx553\nJ/J/M4dDV1rdoLex5C+jcORUAfYfu4ZxET3x0ben3VhD6ghVzeziVmfF9VC5pbsflv5lFMwWAS++\n2/DRRF1pNea/cxD3DlU1+UWhTnLaVSj8fW2PQdbNurdaBVwpKEdYDwWef7t2Vv8f7huAh6Nva3QO\nbTO7yv2oqX06IHZU7dLJ13SVWPNFJp58+I4Gqxc2t2sdALyw+hDWLZjQ7OuukF9c+2TM2Wx9K0c6\nz4XcUvS6JQBdu3T+f9J/OVOID7484fL5C7+e10JXWo3YkZ65dDd73p2Ir8yn0TChVCLB6DtvReKf\nRmDcsJ628mEDQxEa6NfRVaQO0NbV4HSl1Xju7YPY8F3zm780Fdzz3zmI05eLUVpRg89SsmzBDdQ+\nOvdE0o/453/T8drGdDy5/Mbw/+c/XUSZwQiTqfleU662Al8dutTkrPftKVnIKzI02qzm+bcPtjib\nvn645xcZoD6ZDwAwmS3tnn1eY7Tg6FltKz2/9k+6swoC1u8+hV/Pa9v93iv55Xh901Gs2PIrAGDP\nkatYsj4NZosVZQajy2bYf/7TBXyjvtxoN0FX23t9caa6L3euYDRZ8O7OTNs8Fk/U+b+mUQOr4sfi\ni4MX8fuYAejiK8Wh43m2bUyVQX7wk8uaXG6UOq+bZ9O3pqLKZOu9N+dyM0PhL65uvPiQtV64/H39\nEQBAcVnDQCitqEHG9VsHRpPV9g94nceW7sH9d/dGeL+gRud/dcMR28/qk/lQn8xHP1U3/H39EQwb\nGIr5fxyGFE0uTl4qxt2Db8HQsGCs3nkccx4cgsF9gvDD0RxkF5YjdmRffJd2Fakn8vHoA4Pw4L39\nmrxGaythmZGlg9zXB5fyyjD6jh7Y9mMWRoWr8POJfPx8Ih/rF05o16z7gutrYFzOL4cgCLb1DvYc\nuYqdBy7ikfEDbhqpMMNPXvtPv8lswb8+y0DsyL6Y3M7FRXanXgFQO6fj5bgRGNyncdsDQK6uEodP\n5mNaTP8OXaFv875z6H9rIMbY8ajt9+nN367xFAxvLxOs6IInpg61/T753n4Y0Ks7KqpNGD7oFgDA\n2q9PIcBPhn49FFAG+WHZ5l/dVV3yAk3tvHfw+I2V737OzGvQy8ovNti+cNapqDJhd+pl7E5tfH6t\nvnHPsO5LwvELRdCc1druBR/L0iFmWE/kaCvxwZcn8NZz42yv/ZRxo05ZOaWYNNKKqhqLbQndOqt3\nHLf9bLZYG0xaO3wyH//5+pTt9y8PXoTZIuCXeqMlc5el4JXHRyHs1tbDtKrG3GB0ZHO9nmL62dpe\n/IFj1xqE98+Z+bZJa6t3HMeZq3qcuarHpDE3nlaoTxCERl8mzt10S+B8Tmmz4f2PDb/AZLair6ob\nRoWrnPc44PUvSWaLFR99cxoxkb0wNCzYVrYvvXZhIXvCu6yy6fke/2/tYdwa4o/nHxlmZ6Wdh8Pm\nhEF9utuCGwCe+p87MDv2dowb1hND+gXjo8QH8J+X7scrj4/C/D/e+NB27eKD8Ov/sRC5yvpvTrdr\na9j2unnd+rovDvoKY4Olcus7ek6Lp5bvx/x3DiIrp7TZ3vbTK/Y3WDyofnADgNnS9Pte3fALDp/M\nh8VaO7Hw7NUSVBtrV1ssKDHg8PWh/4UfqqE5d2Oovf6ue3UTAXU3DWtv/eE8jp6tDfyTl29sxJO4\n5hCWfnwEZZXGBueYuywFH9zURkmfNr2Z1Obvz2H/sYbD2XVrGmxPycLcZSmt3tbJK6rE0ytScDm/\n4f/nNSYL/rPrJC5cf5rjzFU9rIKA79OzcfhUge22QVNMZive3p6BdbtPOTTZLa/IgF/P65BXVIlP\nvz+HGjcuaiQRRLLkkCuW7eNygPbJLzYgqJscfnIZlEoF3t58FOlnC2GxCO2aoUzUmfxtRiQu5pXh\ny4OXGpQH+vvir9PusnsEa/q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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -209,25 +173,21 @@ "source": [ "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", - "plt.plot(elbos)\n", - "plt.ylim(-5000, 0);" + "plt.plot(approx.hist)" ] }, { "cell_type": "code", - "execution_count": 8, - "metadata": { - "collapsed": false - }, + "execution_count": 6, + "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "/home/jovyan/pymc3/pymc3/step_methods/hmc/nuts.py:237: UserWarning: Step size tuning was enabled throughout the whole trace. You might want to specify the number of tuning steps.\n", - " warnings.warn('Step size tuning was enabled throughout the whole '\n", - "/opt/conda/lib/python3.5/site-packages/numpy/core/fromnumeric.py:2889: RuntimeWarning: Mean of empty slice.\n", - " out=out, **kwargs)\n" + "100%|█████████▉| 2498/2500 [03:02<00:00, 16.93it/s]/home/ferres/dev/pymc3/pymc3/step_methods/hmc/nuts.py:456: UserWarning: Chain 0 contains 41 diverging samples after tuning. If increasing `target_accept` doesn't help try to reparameterize.\n", + " % (self._chain_id, n_diverging))\n", + "100%|██████████| 2500/2500 [03:02<00:00, 13.69it/s]\n" ] } ], @@ -262,30 +222,32 @@ " 'radon_like', mu=radon_est, sd=eps, observed=data.log_radon.values)\n", " \n", " #start = pm.find_MAP()\n", - " step = pm.NUTS(scaling=means)\n", - " hierarchical_trace = pm.sample(2000, step, start=means, progressbar=False)" + " step = pm.NUTS(scaling=approx.cov.eval(), is_cov=True)\n", + " hierarchical_trace = pm.sample(2000, step, start=approx.sample()[0], progressbar=True)" ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 11, "metadata": { - "collapsed": false + "collapsed": true }, + "outputs": [], + "source": [ + "means = approx.gbij.rmap(approx.mean.eval())\n", + "sds = approx.gbij.rmap(approx.std.eval())" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/opt/conda/lib/python3.5/site-packages/matplotlib/font_manager.py:1297: UserWarning: findfont: Font family ['sans-serif'] not found. Falling back to DejaVu Sans\n", - " (prop.get_family(), self.defaultFamily[fontext]))\n" - ] - }, { "data": { - "image/png": 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/HczRtAGP1gY8Gq1zIV4n6P1Xmr3/yuLWFI2p52hMPccLn/4g/9+fLPJ//s5r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iciIiIiItJCSqRERERERERaSImUiIiIiIhICymREhERERERaSElUiIiIiIiIi2kREpERERE\nRKSFlEiJiIiIiIi0kBIpERERERGRFlIiJSIiIiIi0kJKpERERERERFpIiZSIiIiIiEgLKZESERER\nERFpISVSIiIiIiIiLaRESkREREREpIWUSImISJczYsQIdu/enfZ5RUREmiiREhERERERaSElUiIi\nIiIiIi2kREpERNJuxowZ/Pa3v2X+/PlMmDCBr3/96xw+fJj777+fiRMn8ulPf5qqqiqWL1/Odddd\nd8Z3ly1bdt7ll5WVcddddzF58mSmT5/Od77zHZLJ5FnnfeSRR3jssce47777mDhxInfffTf79+8/\nZZ5ly5Yxa9YspkyZwre//W183wdgz549fOpTn2Lq1KlMnTqVr3zlK1RXV7ehZEREpKtQIiUiIpfE\na6+9xuOPP86iRYt46623+OxnP8uXv/xlli9fjud5PPHEE61etmmaPProo7z//vv88Y9/5L333uPJ\nJ5885/wvvPACf//3f8/y5csZOXIkDz/88CnT3377bf785z/z3HPP8corr7B06VIAfN/ngQceYOnS\npbzyyiuUl5fzy1/+stVxi4hI16FESkRELom7776bwsJCSkpKmDx5MpdffjmjR48mHA4zc+ZMNm7c\n2Opljx07lgkTJmDbNn379uWuu+7iww8/POf8N9xwA1OmTCEcDvOlL32JNWvWcPDgwebpn/3sZ8nL\ny+Oyyy5j6tSpbN68GYABAwZwzTXXEA6HKSgo4L777jvv74iISPdhZzoAERHpmgoLC5tfRyKRU95H\no1Hq6+tbveydO3fywx/+kPXr19PQ0IDruowZM+ac85eWlja/zs7OpkePHhw6dIjevXsDUFRU1Dw9\nFotRV1cHwJEjR/jud7/LihUrqKurw/d98vLyWh23iIh0HaqREhGRjInFYsTj8eb3ruty9OjRC37v\nn//5nxk8eDCLFi1i1apVfOlLX2q+r+lsysvLm1/X1dVRVVVFcXHxBX/nJz/5CYZh8Pzzz7Nq1Sp+\n9KMfnfd3RESk+1AiJSIiGTNo0CASiQRvv/02qVSKf//3fz9npxEnq6urIzs7m+zsbLZv385TTz11\n3vnfeecdVqxYQTKZ5Oc//znjx49vro260O9kZWWRl5dHRUUFv/3tby/63yYiIl2bEikREcmY3Nxc\n/umf/olvfvObXHfddcRisVOa4Z3L1772NV588UWuuOIKvvWtb/Gxj33svPPPmzePf/u3f2Pq1Kls\n2LCBH/3oRxcV3//4H/+DjRs3MnnyZD73uc8xa9asi/qeiIh0fYavNgoiItKFPfLII5SUlPClL30p\n06GIiEgXohopERERERGRFlKvfSIi0iHdf//9rFy58ozPH3jgAR588MEMRCQiInKCmvaJiIiIiIi0\nkJr2iYiIiIiItFC7Nu2rrKxpz59rV/n5WRw71vrBJaV1VO6ZoXLPDJV7+1OZZ4bKPTNU7pmhcm9/\nLSnzoqLcc05TjVSa2LaV6RC6JZV7ZqjcM0Pl3v5U5pmhcs8MlXtmqNzbX7rKXImUiIiIiIhICymR\nEhERERERaSElUiIiIiIiIi2kcaRERKTTS6Zc4ikX1/VxXQ/H8zEMyIrYZEVtLFPXDUVEJL2USImI\nSKeQSLrsPVTL7ooa9lXWcrQ6wbGaOMdqEtTFnfN+NxK2yImGKM6PUVqQRUlBFqUFWQwozaVHdrid\n/gUiItKVKJESEZEOqT6eYuOuY6zfeZRt+45TfrSe04eQj0Us8nOjDCzNJRqxsS0TyzSwLQPX82lI\nuNTHU9THHWoaUmzafYxNu4+dsoyS/BjD+vVkWN8ejOqfT2HPWDv+K0VEpLNSIiUiIh1G5fEGlm+s\noGz7EXYcqMZrzJyiYYthfXsyoCSX/iU59C/JpbBHlFikZYexRNKl4lg95UfrOXiknh0Hqvlo/3He\nLTvIu2UHAehXnMOk4UVcMbyIwsKctP8bRUSka1AiJSIiGVXbkGLF5kO8t6GcbfuqADAMGHxZHmMH\n9WLs4AIGleZhmkabfysStuhfkkv/khMDLHqez77KWrbtq2LdjiNs3HWUZ9+t5dl3d9K7MJurRpdw\n7eW96ZETafPvi4hI16FESkREMmJ3eQ1vrNjL8k0VOK6PAYwakM+00SVMHF5ETizULnGYptGcXN00\nqS8NCYey7UdYubWSdTuO8PSSHTz37k4mDC3k+gmXMXpQAabR9qROREQ6NyVSIiLSbjzPZ81Hh3n9\nw71s2XscgNKCLK4d35upo0ooyItmOEKIRWymji5h6ugSsnKivLTkI95ec4CVWytZubWS3r2y+Ni0\nAUwdXYJtqTdAEZHuSomUiIhccp7vs2LzIZ57dycHj9QDMGZQATMn92Ps4I5bw5MdC3HjFX25YWIf\ndpXXsHjlPt7fWMH/eWkTzy7dwZypA7j28t6EQ1amQxURkXamREpERC4Z3/dZs+0wzyzdyb7KWkzD\nYPrlvZk9pR99ijpPRw6GYTCodx5/N280t107mEUf7GHJ2gP84fWtvLhsFwuuHcS1l/fWeFUiIt2I\nEikREbkktu+v4sk3trHzYDWGAVeNKeXW6QMpyc/KdGht0qtHlE/OHM68awby+od7eX3FXn736hZe\n/3Avd94wlPFDe2F00Bo2ERFJHyVSIiKSVsdrE/z57e0sW18OwOSRxdw2fRCXFWZnOLL0yssKc8f1\nQ7hpUl+eXbqTpWUH+MVfyhjRryf/beZw+hZ3nho3ERFpOSVSIiKSFo7r8fqHe3l+2S4SSZf+xTl8\ncuZwhvfrmenQLqmeORE+fctIZk7px5/f+oi124/wz49/yKwr+7HgmkFEwrp/SkSkK1IiJSIibbbz\nYDWPv7yZfZW15MRC3DVnKNddfllaxn7qLPoUZvOFO8dTtv0wv39tK68u38OHmyr45MzhTBxWlOnw\nREQkzZRIiYhIqyVSLs+9u5NFH+zB9+G68Zdx541DyI62zxhQHdHlQwr5/+7P58Vlu3h1+R5++Zd1\nTB5RxN2zR5CXFc50eCIikiZKpEREpFW27j3O/315E4eONVDUM8qn54xk1MCCTIfVIURCFndcP4Sr\nxpTyH69uZsWWSrbuPc69c0Yycbhqp0REugIlUiIi0iKO6/H8X3fy0nu7AZh9ZT9uu3YwkRaMpfTu\n/vfTGtP0PtPSurx0uawwm0c+eQWvfbiXp5fs4JdPr+PqsaV88uZhZHXjWjsRka6gTYnUf/zHf/Cn\nP/0JwzAYPnw4P/jBD4hEIumKTUREOpiKo/X85oUN7DxYQ2GPKJ+dP5phfbt2ZxJtZZoGc6b2Z9yQ\nXvyfFzeybH05m/cc44Fbx6jsREQ6sVYnUhUVFfzud7/j5ZdfJhqN8oUvfIGXXnqJj3/84+mMT0RE\nOgDf93m37CBPvrGNRMrlqjGl3D1rOLFIx2jYkM4arktVu9WnMJuv3zOJl97bzfN/3cm//GE1t183\niFumDcDUuFMiIp1Om46ArusSj8exbZt4PE5xcXG64hIRkQ4ikXL5/aIt/HV9ObGIzQO3jmHq6JJM\nh9Up2ZbJgumDGDUgn//9/Ab+8s4ONu8+xv3zx9AjWx1RiIh0JmZrv1hSUsJnPvMZbrzxRqZPn05O\nTg7Tp09PZ2wiIpJh5Ufr+d7vVvDX9eUMLM3l2/dNURKVBsP79eTbn7mS8UN6sWHXMf7p/37Alj3H\nMh2WiIi0gOH7vt+aL1ZVVfH5z3+en/3sZ+Tm5vKFL3yB2bNns2DBgnN+x3FcbFsDE4qIdAbvrt3P\nL/5rDQ0Jh49dPZD7F4wllKZ9+Bvbl6ZlOZfCzUOubbff8n2f55fu4PEXNuADn5k/hluvHYyhpn4i\nIh1eq5v2LVu2jL59+1JQEHR1O2vWLFavXn3eROrYsfrW/lyHV1SUS2VlTabD6HZU7pmhcs+M9ip3\nz/P5y5LtvPL+HiIhi8/dOpppo0s5nsZ9eE1NPG3LSreTy7g9yvzqUcUU5oT592fX89vn1rN+WyX3\nzhlJJNx9LzxqH5MZKvfMULm3v5aUeVFR7jmntbpp32WXXcbatWtpaGjA933ee+89hgwZ0trFiYhI\nB9CQcPjlX8p45f09lOTH+Oa9k5k2ujTTYXV5w/v15LFPT2Fonx68v7GC7z2xgkPHGzIdloiInEer\nE6nx48cze/Zsbr/9dubPn4/nedx1113pjE1ERNrRoeMNfP+JlazdfoTRA/P55r2T6VOYnemwuo38\n3Aj/+MmJ3DixD/sq6/juf65g697jmQ5LRETOoU299j300EM89NBD6YpFREQyZPPuY/z62fXUNqS4\neVJf7rppKJbZ6mtt0kq2ZXLP7BH0K8nh94u28uM/rubTt4zk6rG9Mx2aiIicpmMMACIiIhnz1ur9\nPPn6VgDunTOC6yf0Oet86RyrSc7vhgl9KOoZ49fPrOe3L26i/Gg9t107WONNiYh0ILrcKCLSTXme\nz5Ovb+WJRVuIRWwe/psJ50yipP2NGVjANz81ieKeMV5ctpv//dwGkik302GJiEgjJVIiIt1QMuXy\n62fX88bKffQpzOaxeyczon9+psOS0/Tulc03PjWJ4X178OHmQ/zLk6upqk1kOiwREUGJlIhIt1Pb\nkOLHf1zDqq2VjOzfk0fvvoLCnrFMhyXnkJsV5it/M5Frxpay82A13/3dCg4crst0WCIi3Z4SKRGR\nbqSysWe+j/ZXMXV0CV/6xASyoqFMhyUXELJNPjN3FB+/bjBHqhP84PfBOhQRkcxRZxMiIt3ErvJq\nfvanMqrrktwytT933DBEnRecxcmdauRWR9s8ePD0PtPaGhIAhmEw7+qB9MyJ8B+vbObHT63mwdvG\nMmFoYVqWLyIiLaNESkSkizo5Idi332XxkgSOA9OmhOg9/DDLDhzOYHTSWtMv701uVoh/f3Y9v/rL\nOu6dM4Jrx1+W6bBERLodNe0TEenitu9weP2tBL4PM64PM3qkmvJ1duOHFvLVv51ILGLx+CubeWHZ\nLnzfz3RYIiLdihIpEZEubOPmFO/8NUkoBHNujjCwvxoidBVD+vTg6/dMoldehGeW7OAPr2/F85RM\niYi0FyVSIiJdkO/7rClL8f6HKWJR+NisKCXFVqbDkjTr3Subr98zmb5F2SxetZ/fvLABx/UyHZaI\nSLegREpEpIvxfJ+n3tzGqrUpcrIN5s6OUpCv3X1XlZ8b4ZH/dgVD+/bgg02H+PUz60k5GrhXRORS\n05FVRKQLcT2Px1/axBsr9tGzh8HcORHy8rSr7+qyoiG+8okJjBmYz5qPDvOzP5URTzqZDktEpEvT\n0VVEpItIOS6/fmY9f11fzqDeeXxsdpTsLO3mu4tI2OKhheOZOKyQTbuP8ZP/WkN9PJXpsEREuiwd\nYUVEuoBE0uVnfypj9bbDjBqQz8N/M4FoRGNEdTch2+S/3zaWaWNK2L6/mv/55Gqq65KZDktEpEtS\n900iIp1cQ8Lh539ay9Z9VUwYWsh/v20MIVsdS3QUJ4/nlQ4XGuDXtkzunzeaaNjm7dX7+ZcnV/GV\nuyZQkBdNaxwiIt2daqRERDqx+niKn/7XGrbuq2LyyGL+/vaxSqIE0zC4Z9Zw5lzZn4NH6vnhH1Zx\n6Fh9psMSEelSlEiJiHRStQ0pfvTUGrYfqOaqMaU8cOtobEu7dQkYhsGdNw7h9msHcbgqzg/+sIr9\nh+syHZaISJehpn0iIp1QVV2Sn/xxNfsq67hufG8+NXskpql7orqDljYVzB8IUxtCLF+R5LtPLGfO\nzVF6FQQJ94WaCYqIyLnp0qWISCdzrCbB/3xyFfsq65hxRR8+NUdJlJzfmFEhpk8Lk0jAK6/HOXxE\ng/aKiLRVmxKp6upqHnroIebMmcMtt9zC6tWr0xWXiIicxZGqOP/yh1UcPFLP7Cv78d9mDsc0lETJ\nhQ0fZnPdNWFSKXj19TiHKjVor4hIW7Spad/3vvc9rr32Wn7xi1+QTCaJx+PpiktERE5TfqSOH/5h\nFUeq48y7eiC3XzsIQ0mUtMDQwTaGAUv+mmTRmwl8/6+UFKevcxI1FRSR7qTVNVK1tbV8+OGHLFy4\nEIBwOExeXl7aAhMRkRPKj9bzyL+9y5HqOLdfO4iPXzdYSZS0ypBBNjdcG8ZxYNGbCcorVDMlItIa\nrU6k9u7dS0FBAY8++ii33XYb3/jGN6ivV9eqIiLptr+yNqiJqorziRuHMv+aQZkOSTq5QQNsZlwX\nxvOCZOrAQSVTIiItZfi+77fmi+vWreOuu+7iqaeeYvz48Xz3u98lJyeHL37xi+f8juO42BrfRETk\nou08UMU3/9cyquuSPHj7OOZOH3zR331j+9JLGJl0BTt2JXn51VowYP4tuQzoH2rT8m4ecm2aIhMR\n6fhafY9UaWkppaWljB8/HoA5c+bwm9/85rzfOdaFBwMsKsqlsrIm02F0Oyr3zFC5t49d5dX85I9r\nqI87fPqWkcydPrhF5V5To/tW2yo3N9qly7GoF9x0Q4Q3307w/Ms13HRDhH59Wn/BM137Be1jMkPl\nnhkq9/bXkjIvKso957RWN+0rKiqitLSUHTt2APDee+8xZMiQ1i5OREROsv1AFT96ag31CYfPzB3F\ndeMvy3RI0kX17WNx84wIhgFvvp1g914n0yGJiHQKber+/Fvf+hYPP/ww8+fPZ9OmTTz44IPpiktE\npNvatu84P/njGhJJl8/OG80143pnOiTp4vr0tph1UwTThMXvJNm1W8mUiMiFtKn781GjRvH000+n\nKxYRkW5vy55j/OxPZTiuxwMLxjBlZHGmQ5JuondJkEy99maCt5Ymud6HwQPbdJogItKltalGSkRE\n0mfTrqP86/9bi+N6PLhgrJIoaXelxRZzbo5g2/DOu0k+2qGaKRGRc1EiJSLSAazfeYSf/bkMz/f5\nh4+PY9KIokyHJN1UcZHFLTMjhELBwL1bP1IyJSJyNkqkREQybO1Hh/nFn8vwffj8HZczYWhhpkOS\nbq6wl8UtM6NEwvDue0k2b1UyJSJyOiVSIiIZtHprJb96eh2mYfCFOy9n3OBemQ5JBIBeBSa3zIoS\njcCy5Uk2bkllOoqzfs8AACAASURBVCQRkQ5FiZSISIas2HyIXz+7Htsy+eKd4xkzsCDTIYmcoiA/\nSKZiUXj/gxTrNyqZEhFpokRKRCQDlm+s4H89twHbNvnSJ8YzckB+pkMSOav8niYfmxUlK2bwwcoU\na9cpmRIRASVSIiLt7r315fzmhQ1EwiYP3zWB4f16ZjokkfPq0cPkY7MjZGcbrFyTYtXaJL7vZzos\nEZGMUiIlItKOlpYd4LcvbiQWtnn4byYypE+PTIckclHyck3mzoqQm2OwpsxhxaqUkikR6dY00p6I\nSDt5e81+fvfqFrKjQRI1oDT3jHne3f/+Ob+fWx2lpiZ+KUMUOa+cnKBm6tXXE6zb6OC6MHVKCMMw\nMh2aiEi7U42UiEg7eHPlPn736hZyYiH+8ZNXnDWJEukMsrOCe6byexps3OKwbLlqpkSke1IiJSJy\niS36YA9/eH0redlhvvbJifQrzsl0SCJtEosZ3DIzSq8Cgy3bHJYuS+J5SqZEpHtRIiUicon4vs9z\n7+7kvxZ/RM+cIInqU6QkSrqGaNRgzs1RigpNPtrh8s67SRzXy3RYIiLtRomUiMgl4Ps+/++tj3ju\n3Z0U9ojyyN2T6N0rO9NhiaRVJGIw+6YIJcUmO3e7/Puz60k5SqZEpHtQIiUikmae7/PEoi0s+mAv\nvXtl8ejdkyjuGct0WCKXRDhsMGtGhN6lJqu3HeZXT68jmXIzHZaIyCWnXvtERNrg9F72PM9n6bIk\n23e6FOQb3HCjz4bq1VCdoQBF2kEoZDDzxghvvpNg3Y4jfPsPS7n5hgihUOt688utjjI+b0KaoxQR\nSS/VSImIpInr+ixeEiRRRYUmt8yKEoupW2jpHmzb4OYbIvTva3Gw3OPVNxIkEuqAQkS6LiVSIiJp\n4Dg+b7yVYM9el96lJnNujhAJK4mS7sWyDGZcH2bIYIvKwx4vLYpTX697pkSka1IiJSLSRsmkz6I3\nE+w/6NGvj8nMGa1v0iTS2ZmmwXVXhxk9wuZ4lc+LixJU1yiZEpGuR4mUiEgbNMR9Xn0jQcUhj0ED\nLG66IYJtKYmS7s0wDKZOCTHx8hC1tT4vLYpz9JiSKRHpWpRIiYi00uGqBl5eFOfwEY9hQyyunx7G\nNJVEiUCQTE0cH2Lq5BANDfDya3EqDqk3PxHpOtqcSLmuy2233cYDDzyQjnhERDqF/ZW1/OD3q6iq\n9hk32mb6VUqiRM5mzKgQ110TJpWCRW8k2HdAyZSIdA1tTqR+97vfMWTIkHTEIiLSKXy0r4of/mEV\nx2oSTLkixJRJYQxDSZTIuQwdbHPT9WF8H954K8HO3U6mQxIRabM2JVLl5eW8/fbbLFy4MF3xiIh0\naGs/OsyP/7iahoTL380dxbgxoUyHJNIp9O9nM+umCJYFby1JsnlrKtMhiYi0SZsG5P3+97/PV7/6\nVerq6i5q/vz8LGzbastPdmhFRbmZDqFbUrlnRncs98Ur9vDLp9dhWybf/MwUpowu5Y3tFe0aQ25u\ntF1/T1Tm6ZSbCz16RHjuxRqWLU/hOBbTroydtUa3O+5jOgKVe2ao3NtfOsq81YnUW2+9RUFBAWPH\njmX58uUX9Z1jx+pb+3MdXlFRLpWVNZkOo9tRuWdGdyt33/d59YM9/Omt7WRFbL5453gGFmVTWVlD\nTU283eLIzY226++JyvxSyIrBx2ZHeG1xgg9Wxjl6LHXGPYa5udFutY/pKLrbvr2jULm3v5aU+fkS\nrlYnUqtWrWLx4sUsWbKERCJBbW0tDz/8MD/+8Y9bu0gRkQ7H9TyefGMbb63aT35uhC99Yjx9i3Iy\nHZZIp9Yjz2Te7Civv5Xgox0uDfEEM67T+Gsi0rm0+h6pr3zlKyxZsoTFixfz05/+lGnTpimJEpEu\nJZF0+dVf1vHWqv30LcrhG/dMUhIlkiaxmMEtMyP062Oy/4DHy6/FqW/wMx2WiMhF0zhSIiJnUVWb\n4IdPrmLt9iOMGZjPo3dfQUGe7pURSadQyOCmGyIMH2px5KjPi6/EqarSwL0i0jm0qbOJJlOnTmXq\n1KnpWJSIyCX37v73zzv92HGP1xcnqK3zGTbEYsq0OCsPr2in6ES6F9M0uGZamJxsh1VrU7z4apx5\nt4QYn5fpyEREzi8tiZSISFdxsNzlzXcSJJNwxfgQ48fZGiNK5BIzDIMJl4fIyjL46/tJnnmhhrzk\nAa4df1mmQxMROSclUiIijbZ+5LBseRKA664JM3SwdpEi7Wn4UJvcHIO3liR5/JXNHDxSz8IbhpzS\no5+ISEehe6REpNvzPJ/lHyZ5970ktg2zb4ooiRLJkN6lFnctzKO0IItXP9jDr55eRzzpZDosEZEz\n6ExBRLq1RNLn7SUJ9h/06NnD4OYbI+Tl6hqTSCb17GFx081J3lpisuajw3zz8aXcfGOEnOzWb5vT\n+0xLY4QiIqqREpFurKrK44VX4uw/6NGvj8m8OVElUSIdRCRiMOumCCOH2xw95vPCy3EOVbqZDktE\npJnOGESkW9p/wOWFV+JUV/uMG2Nz0w0RwmHdhyHSkZimwVVXhpg6OUQ8AS+/lmDzVjXzE5GOQU37\nRKRb8X2fdRtTrFiVwjTUqYRIR2cYBmNGhejZ0+TtpQmWLU9y+IjLtCvD2JYufohI5qhGSkS6jYaE\nw6+fXc+HK1NEo3DLLHUqIdJZ9OltcevHovQqMNj6kcvLixLU1mnwXhHJHCVSItIt7Kus5Tv/8SEr\nt1RSWmyyYG6M4iIr02GJSAvk5pjMnR1l6GCLw0c8nn8pzsFy3TclIpmhS7Ei0uW9t6Gc/3x1M8mU\nxy1T+1MytFLj0oh0UrZtcO3VYYoKHd7/MMWrbySYfEWIsaM0eLaItC8lUiLSZaUcjz++uY23Vu8n\nFrH4h9vHMWlEEe/uP5zp0ESkDQzDYNSIEAX5JouXJPhwZYryCo9rrw4TjSiZEpH2oaZ9ItIlHTpW\nzw//sJK3Vu+nb1E2j907hUkjijIdloikUUmxxYK5MXqXmuzd5/Lsi3HKK9TUT0Tah2qkRKRL8X2f\n9zaU88RrW0kkXa4eW8o9s0cQCel+KJGuKCtmMPumCOs2OKxam+KV1xNMvDzE5WNtNeEVkUtKiZSI\ndBn1cYcnXtvC8o0VRMMWn503mqvGlmY6LBG5xEzTYPy4ECUlJu8sTbJqbYqD5S7XTw+TlRU0vnl3\n//tp+73pfaalbVki0nkpkRKRDu9iToAqDrm8826S2jqfokKT66eHcHN38e7+XZc+QBHpEEqLLW6b\nF2Xpe0n27A2a+k2/Kkz/fjrdEZH0055FRDo1z/NZu85hzboUABPG2Uy4PKQmPSLdVCRicNP1YTZt\ncfhgZYo33k4ybIjL1MlhwmHtF0QkfZRIiUindey4x9JlSQ4f8cjOMrh+epjSEt0LJdLdGYbB6JEh\nepdYLFmWYNt2lwMH40y/Okyf3tpHiEh6KJESkU7H83zWbXBYXZbC82DwQIurrgwTUbfHInKS/HyT\n+bdEm2utF72RYNQIm8kTQ4RC2l+ISNsokRKRTuXoMY+lyxIcOeoTixlcMzWk+x9E5JxM02Di+BD9\n+los+WuCTVsc9h1wufbqMKXFqp0SkdZr9dnHwYMH+cd//EcOHz6MaZp84hOf4N57701nbCIizVzX\np2y9w9r1QS3U0MEWUyerFkpELk5hL5Nb50ZZvTbFug0OLy9KMHK4zaSJISK6d0pEWqHViZRlWTzy\nyCOMGTOG2tpa7rjjDq655hqGDh2azvhEpJNKZ1fDFYdcln2Q5Ngxn+wsg6unhenXR1eSRaRlbMtg\nyhVh+ve1+Ov7STZvddi9x+HKyWEGD7QwDCVUInLxWp1IFRcXU1xcDEBOTg6DBw+moqJCiZSIpE1D\ng8+K1Um2bXcBGD7U4spJ6nlLRNqmpNhiwdwo6zcG9069826SbdtNrr4yTF6emenwRKSTMHzf99u6\nkH379nH33Xfz4osvkpOTc875HMfFtnUVWaQ7eGP70lZ/N+hMIsF7HzSQSPgUFVrceF0WvUtDaYxQ\nRASqqlzeWlrP7j0pLAuunBTjiolRbOvcF2xuHnJtO0YoIh1VmxOpuro67rnnHh588EFmzZp13nkr\nK2va8lMdWlFRbpf+93VUKvfMuJhyb23TvkOVLu99kOTIUZ9wCK6YGGLkMFvjQgG5uVFqauKZDqNb\nUZlnRnuXu+/77NztsnxFkoYGyM01mHJFiAH9zt7cb3qfae0WW3vSMTUzVO7tryVlXlSUe85pberq\nKpVK8dBDDzF//vwLJlEiIudTW+uxcm2K7TuCZnzDhlhMnhgmFlMCJSKXlmEYDB5o0/cyi9VrU2zc\n4rD4nSQlxSZTJ4co7KXWNCJyplYnUr7v841vfIPBgwdz3333pTMmEelGEgmftetTbNzs4HlQkG8w\n7Up1Sywi7S8cNpg6JczIETYfrkyxZ5/L8y8nGDLYYvKEENnZun9KRE5odSK1cuVKnnvuOYYPH86C\nBQsA+PKXv8z111+ftuBEpOtyXJ9Nm4PuzJNJyMk2mDQhxOBB6jlLRDKrR57JzTdGOFgeNPfbvsNl\n126XsaNtxo4OpbVXUui6TQVFurpWJ1KTJ09my5Yt6YxFRLoBz/PZvtNl1ZoUdfU+4TBcOSnEyBH2\neW/uFhFpb71LLW79WJSPdrisXJNi7TqHTVscxo4KMXqkrR5ERbq5Nt0jJSJysVzX56MdLmXrU9TU\n+lgmjBtjc/mYkAbVFZEOyzQNhg+1GTTAYtNWh3UbUqxam2LDphRjRwcJVSikfZhId6RESkQuKcf1\n2faRQ9kGh7o6H9OEkcNtLh9rk6P7DUSkkwiFDC4fE2LUcJuNmx3WbUyxck2K9ZtSjGv8XAmVSPei\nREpELolUymdrYwLV0OBjWTB6pM24MTbZWUqgRKRzCoUMxo8LMWpEkFCt35hixaoUZetTjBhmM3qk\n9nEi3YUSKRFJq8NVDSxeuZ/FaxpIJsG2gyZ8Y0eF1JW5iHQZ4bDBhMtDjBpps2mzw8bNKdZtcNiw\nyWHwQIuxo0MU5CuhEunKlEiJCNCyAXRzq08dLNP3fSoOeWzY7LBnr4vvQzQKEy63GT0iRDSqBEpE\nuqZIY0I1dozN9h0u6zem+GiHy0c7XPr0NhkzKkSfy8zz9kaazl4A1QOgSPtRIiUirZZK+ezc7bJp\nS4ojR30AehUYjB4ZYvBAC0u98IlIN2FbBiOG2QwfarF3v8f6jSn2H/TYfzBBTo7BiKE2w4baZKlm\nXqTLUCIlIi3i+z4Hy1OsKUuwY5eL44BhwMD+FqNH2pQUn//Kq4hIV2YYBv37WvTva3H4iMumLQ47\ndwXdp69am2JAP4sRw2wu6619pUhnp0RKRC5KfYPP9h0OWz9yqKoOap+ysw3GjrYYPsQmJ0f3AoiI\nnKywl8W1V1tMneyzfafD5m0Ou/a47NrjkpNjMHSwxeCBNj17aP8p0hkpkRKRc0okfHbvddm52+HA\nQQ/fB8uE4UPDDBpg6IqqiMhFCIcNRo0IMXK4TeVhjy3bglqqNWUOa8ocehUYDB5kM3iARbaGhRDp\nNJRIicgpmpKnXbsd9jcmTwCFvUyGDrEYMtCmsDB2SmcTIiJyYYZhUFxkUVxkMW2Kz559Ljt2Ouw7\n4HHkaIoPV6YoLTEZNMCifz+rVd2ot6XjitM7EgJ1XiFyPkqkRDqxdPX0VF3jsW+/y979LgfLPTwv\n+LxXgcmggRYD+1vk5eoqqYhIuoRCBkMG2QwZZBOP++za47B9p0t5hUd5hcd7H6Qo7GXSv69Fv74W\nBfmGWgCIdDBKpES6IdcNuivfd8Bl7z63+Z4nCHrdGzjAZtAAJU8iIu0hGjUYOTzEyOEhaus89ux1\n2bPX5WCFx+EjHqvWpsjJDjqx6HOZRWmJSSikpEok05RIiXQDnudz9JjPwXKX8gqX8kMeqVQwzbag\nf1+Lvn0s+vYxyVH7fBGRjMnJNhk90mT0yBCJpM/+/S6797ns2++ycYvDxi0OhgFFhSaX9Ta5rNSi\nqNDsFMNNpHO8LFCzQ8k8JVIiXZDr+hw95lFxyAuSp5MSJ4C8PINhQyz69bEoKTGxO8EBWESku4mE\nGzuhGGTjuj6HKj0OHHQ5UO5RedjjUKXHmjIH24aSIpPiYoviIpPiQtVYibQHJVIinZzv+9TU+lQe\n9pofR496uN6JefJyDQYNMOldGjQJac0NzCIikjmWZdC71KJ3qcUkIJH0KS8PkqoDB93GwX+DHb9h\nQH7Ppo4tTAp7meTlGpimkiuRdFIiJdKJOK7HgcN17KusZe+hWtbtiXP0mEc8cWIew4CCfIOiwuAA\n2rvEVHe6IiJdTCRsMKC/zYD+wfuGuE9lpUtFZVBTdfiIx9FjDpu3BtNtCwoKTHoVmPTKNykoMMnv\naXSKJoEiHZUSKZF2dLHtw1Mpn6pqn6pqj6pqj+pqn2NVHlVVfnOPek1ycgwGlZoUFQaPXgUmtq0D\no4hIdxKLGvTvZ9O/X/C+qYn3oUqPI0c9jhw70RywiWFAbq5BzzyTnj0NepcYRCIePfKM5qaB6b6v\nKZ3SGZvut5LWUCIlcgGX4iDi+z7xONTWedTVBU3zqqo9qmuCBKqhwT/jO7YVdEdekG+Sn29QkG9S\n0NMkHFbSJCIip7KsoGVCUaHV/Jnj+hw/7nH4SJBkHTvucfy4x55qlz37oGy90zxvLGaQm2OQm9v4\nnGOSm2uQl2MQi6krdhFQIiWSdq7r0xAPkqGGBp+GONTVBwlTbZ1PXePD9c7+/Zxsgz69TXrkmeTl\nGfTIM+mRZ5CdrQOXiIi0nm0ZFPayKOx14rOmC3vHqzwaEhYVFUmOV3nUNt57e6jyzOVYFmRnG2TH\nDLKyGh+xE8/ZWUGypWaD0tW1KZFasmQJ3/ve9/A8jzvvvJPPfe5z6YpLJON83yeRcqmt80gmIZHw\nSST94HXSJ5EIXscTPvGGE8lTMnX+5caikJ9vkpMdJEdNzz1yTXLzDPWgJyIi7cYwDGIxiMUscnOj\n1Aw4Mc3zgguANbU+NTU+NbVe4+vg4mB19ZmtJ04WDkM0YhCNGkQiBtFIMGZW82dhCIeN4BGCUOOz\nLhpKZ9HqRMp1Xb7zne/w+OOPU1JSwsKFC5kxYwZDhw5NZ3wiZ+X7Po7rUx9PUV2fxHE8Uq6H43h8\neLAMz/NxXRofPo4DKafpGZyUHzw7/lnfp5JBQnT6/UjnE40EV+h6RQ1i0eBqXCwWvM7OCpKl7Gwl\nSiIi0jmYpkFerkFeLtD7zOmuG1xArG/wqav3qa8PXtc3vo4ngkfNYR///DnXKUIhCIcMwmEInfRs\nW2DbBrYd1K7ZNlgnvT55utX4mWmCZQb/FtMMatNMU8mapEerE6mysjIGDBhAv37BXY1z587lzTff\nVCKVQbUNKVZuOYTj+vi+jw/g0/za98HHp/G/4POTXp/z86bvnrRM71yfn7R8z/ODhMYL4nFPeu/5\nJ70+x/uT53c9H8f1cFwvSIjO1S6uDQwDbBtCtkE4ErQLD4eDnpEikXO8bnwfjaJuZUVEpFuxLIOc\nHIOcnPPP5/vBxcl4PGjNEY/7xBM0tuwIpjU9BxcygxYfdfU+qVTLkrCLZRiNCVZjYvVf5luYVlPS\nFRzTDYMzHkESFiRihgHmOec58/umARhgQOP/gqdIxCaZdBqnGSfmaZxhYF4/mvI+0zBOzNf47zAa\nXzQt1yD4fdOAcYN7Udgzlv4CbNTdB1ludSJVUVFBaWlp8/uSkhLKysrSElR7StcfQG51lJqaeFqW\n1aSlf0xL1h7gz29vT2sM7eXknYxhnvzaaN5JWTbEIpBtGliWiWVBJGzh+17zVSbLMpp3jJYFlmlg\nNV6hCoVOJEq23Xh1q+l9KNh56gqViIhIehlG0Iwv0orOkXy/sTVJysdxwWlsPeI2vW5sdeI0tjoJ\n5vFxG6d5Hrhe0MLEO/29F9SqNX3mukEiF7xvvKjc+Li0nPNOXcWOVi/56rGl3D9vdKu/L+fX6kTK\nP8tf1YVOQouKclv7c5fM7UUzMx1C2tw7fyz3zh+b6TBEREREpBvozOfR6chLWj1KZ2lpKeXl5c3v\nKyoqKC4ubnNAIiIiIiIiHV2rE6lx48axa9cu9u7dSzKZ5KWXXmLGjBnpjE1ERERERKRDanXTPtu2\neeyxx7j//vtxXZc77riDYcOGpTM2ERERERGRDsnwz3azk4iIiIiIiJxTq5v2iYiIiIiIdFdKpERE\nRERERFpIidRFePTRR7nqqquYN2/eWae/8cYbzJ8/nwULFvDxj3+cFStWNE975plnmDVrFrNmzeKZ\nZ55pr5A7vbaU+ahRo1iwYAELFizgwQcfbK+Qu4QLlXuTsrIyRo0axauvvtr8mf7WW68t5a6/99a5\nUJkvX76cSZMmNZftr371q+ZpS5YsYfbs2cycOZPf/OY37RVyl9CWcp8xY8Yp+325eBezj1m+fDkL\nFixg7ty53H333c2f6++9ddpS5vpbb70Llftvf/vb5v3LvHnzGDVqFMePHwda+bfuywV98MEH/vr1\n6/25c+eedfr/396dx1dV3/kff98lC9kXskJYAgkiIKAJqGwliIiAtChqp/VnHRWtdBiHsVbR4tK6\nja19tIwzap1H7bQWtctoC1plX0QQBI3sSAKELYHs+03uPb8/QlKBhCR3Ozc3r+fj4UOSnHvOJx++\nj3Df+X7P99TU1Bgul8swDMPYt2+fMWPGDMMwDKO8vNzIy8szysvLjYqKCiMvL8+oqKjwW909mbs9\nNwzDGDNmjF9qDEad9d0wDKO5udm44447jHvuucf44IMPDMNgrHvK3b4bBuPdXZ31fOvWrcaCBQsu\n+nxzc7Mxbdo049ixY0ZjY6MxZ84c49ChQ74uN2i423fDMIypU6capaWlviwvaHXW98rKSmPmzJnG\niRMnDMMwjLNnzxqGwXj3hLs9NwzGuie68u9pqzVr1hh33HGHYRjuj3VmpLogNzdXsbGxHX49MjKy\n7WHE9fX1bX/evHmzJkyYoLi4OMXGxmrChAnatGmTX2ru6dztOTzTWd8l6Xe/+51mzJihxMTEts8x\n1j3jbt/hvq70vD35+fkaOHCgMjIyFBoaqlmzZmnNmjU+qDA4udt3eKazvv/tb3/T9OnTlZ6eLklt\nP2cY7+5zt+fwTHd+xqxcubJt5srdsU6Q8pJVq1bphhtu0H333adnn31WUstDilNTU9uOSUlJUXFx\nsVklBp32ei5JjY2Nmjdvnm699VatXr3axAqDT3FxsVavXq3bb7/9os8z1n2no75LjHdf+vzzz3XT\nTTfpnnvu0aFDhyQx1v2hvb63uvvuuzVv3jy9/fbbJlUXnI4cOaKqqirdcccdmjdvnt59911JjHdf\n6qjnrRjrvlVfX69Nmzbp+uuvl+T+WHf7OVI43/Tp0zV9+nRt375dv/zlL/XGG2/IaGdneWZOvKe9\nnkvSunXrlJKSoqKiIt15553Kzs7WgAEDzC02SDzzzDN66KGHZLPZzvs8Y923Ouq7xHj3lREjRmjt\n2rWKjIzUhg0btHDhQn300UeMdR/rqO+StHz5cqWkpKi0tFR33XWXMjMzlZuba3LFwcHpdGrPnj16\n44031NDQoNtvv12jR49mvPtQRz0fPHgwY90P1q1bpyuvvFJxcXGS3H8fw4yUl+Xm5urYsWMqKytT\namqqTp8+3fa14uJiJScnm1hdcPp6z6WW3yJIUkZGhsaNG6e9e/eaWV5Q2b17txYvXqy8vDx9+OGH\neuqpp7R69WrGuo911HeJ8e4rUVFRioyMlCRNmTJFzc3N/Fz3g476Lv1jrCcmJmr69OnKz883rc5g\nk5qaqkmTJikiIkIJCQnKycnR/v37Ge8+1FHPJca6P6xcuVKzZs1q+9jdsU6Q8oKjR4+2Jdk9e/ao\nqalJ8fHxmjhxojZv3qzKykpVVlZq8+bNmjhxosnVBoeOel5ZWSmHwyFJKisr086dOzV06FAzSw0q\na9eubftvxowZeuKJJ3Tdddcx1n2so74z3n3nzJkzbT9j8vPz5XK5FB8fr1GjRunIkSMqKiqSw+HQ\nypUrlZeXZ3K1waOjvtfV1ammpkaSVFdXp48//lhZWVlmlhpUpk2bph07dqi5uVn19fXKz8/XkCFD\nGO8+1FHPGeu+V11dre3bt2vatGltn3N3rLO0rwsWL16sTz/9VOXl5Zo8ebL+5V/+Rc3NzZKkb3/7\n2/rwww/13nvvyW63Kzw8XL/4xS9ksVgUFxenBx54QLfccoskaeHChW1TiLg0d3t++PBhPfHEE7JY\nLDIMQ/feey9vLLuhs753hLHuGXf7znh3X1d+xixfvlw2m03h4eF66aWXZLFYZLfbtXTpUt1zzz1y\nOp26+eabeZPTDe72vbS0VAsXLpTUsiRq9uzZmjx5spnfSo/SWd+HDBmiSZMm6aabbpLVatUtt9yi\n7OxsSWK8u8ndnhcVFTHWPdCVf09XrVqlCRMmKCIiou117v5stxjtLQoEAAAAAHSIpX0AAAAA0E0E\nKQAAAADoJoIUAAAAAHQTQQoAAAAAuokgBQAAAADdRJACAAAAgG4iSAEAAABANxGkAAAAAKCbCFIA\nAAAA0E0EKQAAAADoJoIUAAAAAHQTQQoAAAAAuokgBQAAAADdRJACAAAAgG4iSAFAkHvllVf02GOP\nmV1Gm23btmny5Mlml6GxY8eqqKjI7DI6FSj9AgCcjyAFAEHu/vvv1zPPPGN2GV7hzVCxa9cuZWRk\ndOnYYcOG6ejRo165LgAgOBCkAADwoebmZrNLAAD4AEEKAILIa6+9pkmTJmns2LGaMWOGPvnkEy1b\ntkwPPfRQ2zHvvvuupk6dqvHjx+vll19WXl6etmzZIklatmyZFi1apIceekhjx47VnDlzVFhYqFdf\nfVXXXHONpkyZos2bN7ed689//rNmzpypsWPHatq0aXrrrbe6XOsrr7yi8ePHKy8vT3/961/bPu9w\nOPTCCy/oxJLyXwAAIABJREFUG9/4hq699lotXbpUDQ0Nqqur07333quSkhKNHTtWY8eOVXFxsfLz\n83XbbbcpJydHEydO1NNPPy2Hw9Hp9b8+y/TII4/oqaee0oIFCzR27FjNnz9fx44dkyR95zvfkSTN\nnTtXY8eO1fvvvy9JWrdunebOnaucnBzdfvvt2r9/f9u58/Ly9Nprr2nOnDkaM2aM/uu//kuLFi06\n7/o//elP9dOf/tTjPgIAzEGQAoAgUVBQoDfffFN/+tOftGvXLv3P//yP+vXrd94xX331lZ566im9\n+OKL2rRpk2pqalRcXHzeMa0BYfv27Ro+fLjuvvtuuVwubdy4UQsXLtTSpUvbjk1MTNSrr76qnTt3\n6rnnntNzzz2nPXv2dFrr2bNnVV5erk2bNun555/X0qVLVVBQIEl68cUXVVhYqHfffVcfffSRSkpK\n9PLLLysiIkK//vWvlZycrF27dmnXrl1KSUmR1WrVo48+qq1bt+qtt97SJ598oj/84Q/d7t/KlSv1\ngx/8QNu3b9eAAQP0i1/8QpL05ptvSpLee+897dq1SzfeeKP27NmjJUuW6Omnn9a2bdt022236YEH\nHjgvwK1cuVKvvfaaduzYoblz52rDhg2qqamRJDmdTv3973/X7NmzPeojAMA8BCkACBI2m00Oh0OH\nDx9WU1OT+vfvrwEDBpx3zN///ndNnTpVOTk5Cg0N1aJFi2SxWM47JicnR5MmTZLdbtcNN9yg8vJy\nLViwQCEhIbrxxht14sQJVVVVSZK+8Y1vaMCAAbJYLBo3bpwmTJigHTt2dKnef/3Xf1VoaKjGjRun\nKVOm6IMPPpBhGPrjH/+oJUuWKC4uTlFRUbrvvvu0cuXKDs8zcuRIjRkzRna7Xf3799dtt92m7du3\nd7N70vTp03XFFVfIbrfrpptu0r59+zo89p133tFtt92m0aNHy2az6Vvf+pZCQkL0+eeftx1zxx13\nKC0tTeHh4erXr58uv/xyrV69WpK0detWhYeHa8yYMZI86yMAwBx2swsAAHjHwIEDtWTJEi1btkxf\nffWVJk6cqEceeeS8Y0pKSpSamtr2cZ8+fRQXF3feMYmJiW1/Dg8PV3x8vGw2W9vHklRXV6eYmBht\n2LBBL7/8so4cOSKXy6WGhgZlZ2d3WmtMTIwiIiLaPk5PT1dJSYnKyspUX1+vefPmtX3NMAy5XK4O\nz1VYWKjnn39eu3fvVn19vZxOp0aMGNFpDRfq27fved93XV1dh8eePHlS7777rn7/+9+3fa6pqUkl\nJSVtH6elpZ33mtmzZ2vFihX65je/qRUrVrTNRklyu48AAPMQpAAgiMyZM0dz5sxRTU2Nli5dqp/9\n7GfnzUolJyersLCw7eOGhgZVVFS4dS2Hw6FFixbphRde0LRp0xQSEqIHHnhAhmF0+tqqqirV1dW1\nhalTp04pKytL8fHxCg8P18qVK5WSknLR6y6cPZOkJ598Updffrl+/vOfKyoqSm+88YY+/PBDt76n\nrkpLS9P999+v73//+x0ec2GtM2fO1AsvvKDTp09r1apVevvttyV51kcAgHlY2gcAQaKgoECffPKJ\nHA6HQkNDFRYW1jaT1GrGjBlau3atdu7cKYfDoV/96lduv2F3OBxyOBxKSEiQ3W7Xhg0b9PHHH3f5\n9cuWLZPD4dCOHTu0fv163XDDDbJarZo/f76effZZlZaWSpKKi4u1adMmSS2zZRUVFaqurm47T21t\nrSIjIxUZGanDhw9r+fLlbn0/l9K3b9/znjk1f/58vfXWW/riiy9kGIbq6uq0fv36tnug2pOQkKBx\n48bp0UcfVf/+/TVkyBBJnvcRAGAOghQABAmHw6Gf//znGj9+vCZOnKiysjL927/923nHZGVl6cc/\n/rEWL16sSZMmKTIyUgkJCQoNDe329aKiovT444/rwQcfVG5urlasWKG8vLwuvbZv376KiYnRpEmT\n9NBDD+nJJ59sCxY//OEPNXDgQN1666268sor9b3vfa9tFm3IkCGaNWuWrrvuOuXk5Ki4uFg/+tGP\ntGLFCl155ZX68Y9/rBtvvLHb30tnfvCDH+iRRx5RTk6O3n//fY0aNUo/+clP9PTTTys3N1fXX3+9\n/vKXv3R6ntmzZ2vLli3nLevzpI8AAPNYDNYOAECvVVtbq9zcXH344YddfjgtAABgRgoAep21a9eq\nvr5edXV1euGFF5Sdna3+/fubXRYAAD0Km00AQC+zZs0aPfzwwzIMQyNHjtRLL73U7iYOnnjllVf0\n6quvXvT5q666Sq+//rpXr9WRHTt26N577233a7t27fJLDd508uRJzZo1q92vrVy5Uunp6X6uCAB6\nN5b2AQAAAEA3sbQPAAAAALrJr0v7zpyp7vwgtCs+PkLl5R0/HBK+Qd/NQd/NQd/NQ+/NQd/NQd/N\nQd/dk5QU3eHXmJHqIex2W+cHwevouznouznou3novTnouznouznou/cRpAAAAACgmwhSAAAAANBN\nBCkAAAAA6CaCFAAAAAB0Ew/kBQAAAPxs35EyffDpMZVVNSozPUY3TRikvrF9zC4L3UCQAgAAAPxo\nzWfH9YdVB2VICg+16eTZWn1+6Kz+/bYxGpja8XbbCCws7QMAAAD8ZHdBqf6w6qBiIkP1+P/L0X/+\n22R9Z3q2auub9Ks/56umvsnsEtFFBCkAAADAD+obm/WbD/bLarVo0S1XKDM9RlaLRdOu6q9vTs5U\neXWjlq8+aHaZ6CKCFAAAAOAHq7YXqby6UTOvHqjBaTHnfW3W1QM1ICVKn+wp1uGTlSZViO4gSAEA\nAAA+Vt/YrI+2FymqT4huvHrARV+3Wi26PS9LkrRyy1F/lwc3EKQAAAAAH1u787jqGpt1fW6GwkPb\n3+9t2IA4DUmP0edfndWp0lo/V4juIkgBAAAAPuRyGVq/64TCQm2adlX/Do+zWCyaMa5ltmrV9iJ/\nlQc3EaQAAAAAH9p7pEylVY0aPzxZfcIu/fShK7OTlBgTpk/2FquxyemnCuEOghQAAADgQxvzT0mS\nJl2R3umxVqtF14xMVaPDqV2Hzvi6NHiAIAUAAAD4SF1Dsz4/dEbpfSOVmR7T+QskXTMiVZK0Zfdp\nX5YGDxGkAAAAAB/54quzanYaGj88WRaLpUuvSUuM1OC0aO0pLFNlrcPHFcJdBCkAAADAR3YcKJEk\nXTUsuVuvGzc8RYbREsQQmDwOUk6nU9/85jd13333eaMeAAAAICg0OJq1u7BMaYkRSu8b2a3Xjs3q\nK0nadZD7pAKVx0Hqf//3fzVkyBBv1AIAAAAEjd0FZWpqdnV7NkqSkuMj1C8pUnuPlqvRwe59gcij\nIHX69GmtX79et9xyi7fqAQAAAILC7sJSSdLooYluvX5sVl81Nbu0u7DMm2XBSy69kX0nnn32Wf3w\nhz9UbW3XnrwcHx8hu93mySV7taSkaLNL6JXouznouznou3novTnouzl6Q98Nw9DeoxWKjghR7qh+\nslm7ttHE130jZ4BWbDmqr05V6YaJmR7X1Bv67k9uB6l169YpISFBI0eO1LZt27r0mvLyOncv1+sl\nJUXrzJlqs8vodei7Oei7Oei7eei9Oei7OXpL30+crdXZinqNG56sstIat84RF25XRJhdn+0rVklJ\nVZd3/WtPb+m7t10qfLq9tG/nzp1au3at8vLytHjxYm3dulUPPfSQu6cDAAAAgsbugpZlfSMHu7es\nT2p5OO/wQfE6W9mgkop6b5UGL3E7SP37v/+7Nm7cqLVr1+qll17S1VdfrZ/97GferA0AAADokVrv\naxqZmeDReUYMann9Xu6TCjg8RwoAAADwIkeTUweOVSgjOUpxUWEenevywS1Bas+Rcm+UBi/yaLOJ\nVuPHj9f48eO9cSoAAACgRzt8skrNTpcuHxTv8bmS4/ooKS5c+46WyelyyWZlHiRQ8DcBAAAAeNGB\nYy2zR8MyPA9SUsvyvvpGp46cYrOIQEKQAgAAALzoYFGFLJKyMmK9cr5hA1oC2cHjFV45H7yDIAUA\nAAB4SbPTpcMnq9QvKUqR4SFeOWd2Rpwk6VBRpVfOB+8gSAEAAABeUniqSk3NLg0bEOe1c8ZHh6lv\nbLgOHa+QyzC8dl54hiAFAAAAeMnBopbld8MyvBekpJZZqdqGZp08W+vV88J9BCkAAADASw4cawlS\n2T4IUpJ0qIj7pAIFQQoAAADwAqfLpUMnKpWWGKGYyFCvnjurf8vGFQePc59UoCBIAQAAAF5wrLhG\njQ6n15f1SVJqQoRiIkJ0sKhCBvdJBQSCFAAAAOAFX51omS0a2t87255/ncViUVb/OJVXN6q0ssHr\n50f3EaQAAAAALyg8WSVJGpLu/SAlSVnnZrp4nlRgIEgBAAAAXlBwskqR4XYlx/fxyflb75M6fKLK\nJ+dH9xCkAAAAAA9V1zlUUlGvwekxslgsPrlGRnKU7DarDp9kw4lAQJACAAAAPFR4qmWWKDMtxmfX\nsNusGpgapeMltWpscvrsOugaghQAAADgoYJz90dlpvsuSEkt91+5DENHT1f79DroHEEKAAAA8FBr\nkBrswxkp6R9BjeV95iNIAQAAAB4wDEOFp6qUHNdH0RHefRDvhVqDVGtwg3kIUgAAAIAHisvrVdvQ\n7PNlfZKUGBOu2MhQglQAIEgBAAAAHig4t8xusB+ClMViUWZ6jMqrG1VWxYN5zUSQAgAAADzgr40m\nWrG8LzDY3X1hY2OjvvOd78jhcMjpdGrGjBlatGiRN2sDAAAAAl7BySrZbRYNSI72y/Uy01sezFtw\nqko5lyX75Zq4mNtBKjQ0VL/97W8VGRmppqYm/dM//ZMmT56sMWPGeLM+AAAAIGA1NTtVVFKjASnR\nCrH7Z7HXoNRoWSxSwQl27jOT23/bFotFkZGRkqTm5mY1Nzf77CnOAAAAQCA6Wlwjp8vw27I+SeoT\nZle/vpE6crpaTpfLb9fF+TyKzU6nU3PnztW1116ra6+9VqNHj/ZWXQAAAEDAK/Tz/VGtMtNj5Wh2\n6XhJrV+vi39we2mfJNlsNr333nuqqqrSwoULdfDgQWVnZ3d4fHx8hOx2myeX7NWSkvyz7hbno+/m\noO/moO/moffmoO/mCKa+nyirkyTljExTUt8ov1139LBkbfzipEqqG5UzKr1LrwmmvgcCj4JUq5iY\nGI0fP16bNm26ZJAqL6/zxuV6paSkaJ05U212Gb0OfTcHfTcHfTcPvTcHfTdHsPV9X2GpIsPtsrtc\nfv2+kqNbHvybf6BEuVl9Oz0+2PruL5cKn24v7SsrK1NVVctUZkNDg7Zs2aLMzEx3TwcAAAD0KFV1\nDp2paNDg9Bi/7xWQlhip8FCbCk6xBbpZ3J6RKikp0SOPPCKn0ynDMHTDDTdo6tSp3qwNAAAACFht\n90el+ff+KEmyWi0anBajfUfLVdfQpIjwEL/X0Nu5HaQuu+wyvfvuu96sBQAAAOgx/vEg3lhTrt8a\npApPVWvE4ARTaujN/LPZPQAAABBkWpfV+XvHvlat12V5nzkIUgAAAEA3uQxDhSerlBzfR1F9zFlW\n1xqkWpcYwr8IUgAAAEA3FZfVqa6x2bTZKEmKiwpTQkyYCk5WyjAM0+rorQhSAAAAQDcVmLjRxNdl\npsWoqq5JpZUNptbRGxGkAAAAgG76x/1R5mw00ar1+twn5X8EKQAAAKCbCk5WyW6zKCM5ytQ62jac\n4D4pvyNIAQAAAN3gaHLqeEmNBqREK8Ru7tvpgSnRslosBCkTEKQAAACAbjhWXCOny9Bgk++PkqSw\nUJv6JUXqaHG1mp0us8vpVQhSAAAAQDcUnKyUZN7zoy6UmR6jpmaXTpypNbuUXoUgBQAAAHSD2Q/i\nvVDrzoGtAQ/+QZACAAAAuqHgZJWi+oQoOa6P2aVIYsMJsxCkAAAAgC6qqnXobGWDBqfFyGKxmF2O\nJCktMVLhoTa2QPczghQAAADQRa2zPkP6BcayPkmyWi0anBajU6V1qmtoMrucXoMgBQAAAHTR4XP3\nIQ0x+UG8F2rdQbDwVLXJlfQeBCkAAACgi1pnpAanRZtcyfna7pNieZ/fEKQAAACALnC5DBWcqlJa\nYoQiwkPMLuc8rUGqkA0n/IYgBQAAAHTBybO1anQ4A25ZnyTFRYUpISZMBScrZRiG2eX0CgQpAAAA\noAta74/KDKCNJr4uMy1GVXVNKq1sMLuUXoEgBQAAAHTB4dYd+wJwRkqSMs/VxX1S/kGQAgAAALqg\n4GSVwkJs6tc30uxS2sWDef3L7u4LT506pYcfflhnz56V1WrVrbfeqjvvvNObtQEAAAABoa6hSSfP\n1uqyAXGyWgPjQbwXGpgSLavFQpDyE7eDlM1m0yOPPKIRI0aopqZGN998syZMmKChQ4d6sz4AAADA\ndK3PZxrSLzCX9UlSWKhN/ZIidbS4Ws1Ol+w2Fp/5ktvdTU5O1ogRIyRJUVFRyszMVHFxsdcKAwAA\nAAJF20YT6YG50USrzPQYNTW7dOJMrdmlBD2vxNTjx49r3759Gj16tDdOBwAAAASU1uVymQG60USr\nzLTW+6QqTa4k+Lm9tK9VbW2tFi1apCVLligqKuqSx8bHR8hut3l6yV4rKSmwnqDdW9B3c9B3c9B3\n89B7c9B3c/S0vhuGocJTVUpJiNDQQYlml3NJV41M028+2K8TZfUX9bmn9T3QeRSkmpqatGjRIs2Z\nM0fXX399p8eXl9d5crleLSkpWmfOVJtdRq9D381B381B381D781B383RE/t+uqxO1XVNGj4wPuBr\nD7dIfcJs2lNQel6tPbHvgeBS4dPtpX2GYeixxx5TZmam7rrrLndPAwAAAAS0g0UVkqSs/nEmV9I5\nq9WiIemxKi6rU2Wtw+xygprbQeqzzz7Te++9p61bt2ru3LmaO3euNmzY4M3aAAAAANMdOt4SpLIz\nAj9ISVLWuToPnQuA8A23l/bl5OTowIED3qwFAAAACDiHiirVJ8yufkmB+SDeC2X3b9kQ4+DxCuVc\nlmxyNcGLzeUBAACADlTUNKqkol5Z/WNltQTmg3gvlJkeI7vNokNF7NznSwQpAAAAoAOHjreEkaz+\ngb3t+deF2G0anBajYyXVqm9sNrucoEWQAgAAADpwqAdtNPF12RlxMgzp8AlmpXyFIAUAAAB04ODx\nCtltVg0+96DbnqI1+B08zoYTvkKQAgAAANpR39isopIaDU6LVoi9Z71tHtovVhZJB7lPymd61ogA\nAAAA/OTwiUoZRs/Z9vzrIsLtykiOUsHJKjU1u8wuJygRpAAAAIB27DtaLkka1gODlNTyPKlmp0tH\nTleZXUpQIkgBAAAA7dh7tFw2q6XHbTTRqnUm7cAx7pPyBYIUAAAAcIHahiYdO12tIekxCgu1mV2O\nW4YNaAlSrTNr8C6CFAAAAHCB/UcrZEgaPijB7FLcFhMRqgEpUTp0vEINDp4n5W0EKQAAAOAC+46W\nSZKGD4w3uRLPXD4oQc1OQ3sLy8wuJegQpAAAAIAL7DtarrAQmzLTe9bzoy50+aCWIPjFwTMmVxJ8\nCFIAAADA15RXN+pUaZ2yM+Jkt/Xst8vZ/Vu+h88PEaS8rWePDAAAAMDL9p/bnKGnL+uTpNAQm7L6\nx6rgRKWq6hxmlxNUCFIAAADA1+wuDI77o1q1Lu/bz+59XkWQAgAAAM5xGYa+LChVbFTLjnfB4PJz\nOw/uYcMJryJIAQAAAOcUnqpSTX2TrshMlMViMbscrxiYEq2YyFDlF5TKMAyzywkaBCkAAADgnC8P\nl0qSrhiSaHIl3mO1WpQzPEWVNQ4dLa42u5ygQZACAAAAzvnicKlsVkvbcrhgkXt5iiTp80NnTa4k\neBCkAAAAAEkVNY06erpa2Rlx6hNmN7scr7pyWLJsVou+ODfjBs95FKQeffRRXXPNNZo9e7a36gEA\nAABMkR+Ey/paRYSHaNiAOB09Xa3y6kazywkKHgWpefPm6fXXX/dWLQAAAIBpdhwokSRdmZ1kciW+\nMXpIX0nSF1+xvM8bPApSubm5io2N9VYtAAAAgClqG5q070i5BqZEKymuj9nl+MTY7JYg9dm5wAjP\nBNfiTwAAgCC1+cRWr51rYr+rvXauYPH5obNyugzlXBacs1GS1De2jzLTY7TvaIWq6hyKiQg1u6Qe\nza9BKj4+Qna7zZ+XDCpJSdFml9Ar0Xdz0Hdz0Hfz0Htz+LLvqw9v8ur5oqPDvXYus8eb2ddvz5eF\neyVJ068ZrKSk4HgQ74WSkqI1NSdD//PXPTp4slozrxlkdkk9ml+DVHl5nT8vF1SSkqJ15gz7/vsb\nfTcHfTcHfTcPvTeHr/teXd3gs3N7yszxFojjvb6xWTsPlKh/UqRCZQRcfd7Q2vfL+rXclrNu+zHl\nDA2+TTW87VKhn+3PAQAA0Ktt31+iZqdLuZclm12KzyXGhmtIvxjtP1auylqH2eX0aB4FqcWLF+v2\n229XYWGhJk+erD/+8Y/eqgsAAADwiy1fnpJF0rUj08wuxS/GDU+RYUjb9pw2u5QezaOlfS+99JK3\n6gAAAAD8rqS8TgePV2r4wHglxnrvPrRAdvXlKXpn7VfalH9K03MzZLFYzC6pR2LXPgAAgF7GmzsA\nSj17F8Atu1tmZa4dmWpyJf4THRGqsVl9tePAGRWeqlZmeozZJfVIBCkAAAB5P1wg8Llchj7+8rTC\nQmy6aljwbnvenkmj07XjwBltzj9JkHITm00AAACgV/riq7MqrWrQ1SNSFB7au+YXRgxKUHx0mLbt\nK1aDo9nscnqk3jViAACAaQJtxie6KjygtyiH763aUSRJuu6q/iZX4n9Wq0VTxqTr3U2FLfdK5WSY\nXVKPw4wUAAAAep3jJTXaf6xCwwfGq1+QPoC3M1PH9lOI3apV24vkchlml9PjEKQAAADQ63zUOhuV\n0/tmo1pFR4RqwshUna1s0M6DZ8wup8chSAEAAKBXOVNRr092n1ZqQoRGD+lrdjmmmp7bsqTvg23H\nZBjMSnUH90gBAADAI925/60r96b5ejv1v205IqfL0E0TBslq7d3PUEpLjNRVw5L02YEz+vyrsxqb\n1bt2L/QEM1IAAADoNUrK67Tly9NKS4zQuOEpZpcTEL41KVMWi/SXjQVyMSvVZQQpAAAA9Bp/XH9Y\nLsPQTRMG9/rZqFbpfSN17chUnThTq217is0up8dgaR8AAGhXoG1XDnhqT2GZPjtwRkP7xSp3eLLZ\n5QSUuRMGa9veEr2z/iuNHtpXEeHEhM4wIwUAAICg19Ts0purDspikb57fbasFmajvq5vXB/NmTBI\nlTUO/XnDYbPL6RGImgAAAAgo3p4Nndjvav1l42GdLqvTtCv7a0BKtFfPHyxmjh+gbXuLtX7XCY2/\nPEXZGXFmlxTQmJECAABAUNtdUKoPPy1SSkKEbv5GptnlBCy7zarv3XCZZJFe/eseVdU5zC4poDEj\nBQBAkOCeJuBi1dUu/emjvbJZLbr/phEKD+Xt76UM7R+reZMz9ecNBfr1X/fowVtHy2Zl7qU9jCQA\nAEzSGny68lwdAN3X0Gjoo7WNqqozdM24EBU596johOfn9fVzrsw28+qB+up4pb44XKrf/v2A7pp5\nmSzcU3YRghQAIKgxSwP0Tg0NLSGqssrQqBF2DR8WYnZJPYbVYtGCm0boP5bv0ub8U+oTatft04YS\npi5AkAKAXqajYOHurIi3fzNL8AHgqepqV1uIyhpiU85YQlR39Qmza/Gto/X8mzu1akeRquoc+ucb\nL1OI3WZ2aQGDIAUA8AjBB0AgKTzarI8/ccjRJI263K6cK0OYSXFTdESofvSdK/Wff/5S2/YW63Rp\nne6Zc7n69Y00u7SAwJ1jAAAA6PEqq1xava5R6zY65HJJE68JVe5VoYQoD8VEhOqH3x6jiaPSdLS4\nWk/9Zrv+b2OB6hubzS7NdB7NSG3cuFHPPPOMXC6X5s+frwULFnirLgDAOcz4AED7DMNQ8RmX9u1v\n1pFjThmGlJJs1YSrQxUXy3yBt4TYbfrnWcM1JquvfvfhAf1tyxGt23VCk65I0+Qx6UqJjzC7RFO4\nHaScTqeefvpp/eY3v1FKSopuueUW5eXlaejQod6sDwB6HIIPAPiGYRiqrjF05oxLxWdcOlbkVF29\nIUmKj7dozKgQDRpg8/kslC8eGNwTXJmdpBGDEvTRjiJ99OkxfbCt5b+BKdEaNSRBwzLiNSAlStER\noWaX6hduB6n8/HwNHDhQGRkZkqRZs2ZpzZo1BCnAJIH+Q7079bEVNAAEt6YmQ/UNhpxOyeWSnE6j\n5f+ulo+bHIYaHYYaG6XGRkO1dYaqql2qrjHU1PSP84SFSllDbBoy2K60VCvL+PwgLNSmOdcO0g3j\nMvTZgTPa/OUpHThWoaPF1Vqho5KkuKhQJcf1UUJsuBKiwxXVJ0ThYTZFhNnVJ8yusBCbbDaL7FZr\ny/9tVtmtFiXEhsvag/4O3Q5SxcXFSk1Nbfs4JSVF+fn5XinKnwL9N8fshmUuX76hD/TfPjFWAAC+\nYBiG/vxeQ9tMUlfZbFJMtEWxsVYl97UqOcmqvolWWa095413RwL9l6HtCbHbdPWIVF09IlX1jc3a\nf6xchaeqdKy4RkUlNTp0olLG8cpunXPy6HR9b+ZlPqrY+9wOUoZx8eDv7LcASUnR7l7OZ76VNN3s\nErrMG/3rSd8vuoe/WwBATzH9p2ZX0Dv58r34gP7xPjt3oHL7LrzU1FSdPn267ePi4mIlJyd7pSgA\nAAAACGRuB6lRo0bpyJEjKioqksPh0MqVK5WXl+fN2gAAAAAgILm9tM9ut2vp0qW655575HQ6dfPN\nNysrK8ubtQEAAABAQLIY7d3sBAAAAADoEE8qAwAAAIBuIkgBAAAAQDe5fY8UfGvfvn164okn1NjY\nKJvNpieffFJXXHHFRccNHz5c2dnZkqS0tDS98sor/i41qHS17//3f/+n//7v/5Ykff/739e3vvUt\nf5fnH7GMAAAFmElEQVQaVB588EEVFhZKkqqrqxUdHa333nvvouPy8vIUGRkpq9Uqm82mv/zlL/4u\nNah0te8bN27UM888I5fLpfnz52vBggX+LjXo/O53v9Pvf/972e12TZkyRQ8//PBFxzDefaMrvWfM\ne9eyZcv0zjvvKCEhQZK0ePFiTZky5aLjGPPe1dW+M949YCAg3XXXXcb69esNwzCM9evXG9/97nfb\nPW7MmDH+LCvodaXv5eXlRl5enlFeXm5UVFQYeXl5RkVFhb9LDVrPP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Fhzh56NtDuHFsd/JLanjqja3szi70d1giIuIDSqhERPzobFEVv/7bVrKOFjG4Vxw/v3sE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\nvUxr3AXGjr+ZZU0ey51X5OEPhPnzO2torFqH0RxPau7dEUumjlJKC1FXv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WxGvTLSuk3AZRp4EIJBJBIAQBAgWJKsNoSysRx0irZMw6lu0QLy8xMDGFr6o0FZOIZ6PL69eJ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HG7stNMJDjXsYlRq48xq5+qkQYh0E0fM+ViJl2MRJV0ZgQSWnsOkr265mCmFhBW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OXYdtmVx19ijOOGaQpp11scrSKD+5YiIvz17Ds2+u4q6nP+LcE4bw5dMOUzVFEenTlFCJ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\nFD/72c8OOjARkb6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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -313,15 +275,6 @@ " sns.distplot(t, kde=False, norm_hist=True, ax=ax)\n", "fig.tight_layout()" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [] } ], "metadata": { @@ -341,7 +294,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.5.2" + "version": "3.6.1" }, "latex_envs": { "bibliofile": "biblio.bib", diff --git a/docs/source/notebooks/convolutional_vae_keras_advi.ipynb b/docs/source/notebooks/convolutional_vae_keras_advi.ipynb index dbc0db0f84..3a491d3134 100644 --- a/docs/source/notebooks/convolutional_vae_keras_advi.ipynb +++ b/docs/source/notebooks/convolutional_vae_keras_advi.ipynb @@ -38,23 +38,13 @@ }, "outputs": [], "source": [ - "#!pip install --upgrade git+https://github.com/Theano/Theano.git#egg=Theano" + "#!pip install --upgrade keras\n", + "#!pip install theano==0.8.0" ] }, { "cell_type": "code", "execution_count": 2, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "#!pip install --upgrade keras" - ] - }, - { - "cell_type": "code", - "execution_count": 3, "metadata": { "collapsed": true, "scrolled": false @@ -66,7 +56,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "metadata": { "collapsed": true }, @@ -77,7 +67,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 1, "metadata": {}, "outputs": [ { @@ -93,14 +83,18 @@ "name": "stdout", "output_type": "stream", "text": [ - "Autosave disabled\n" + "Autosave disabled\n", + "env: KERAS_BACKEND=theano\n", + "env: THEANO_FLAGS=device=cuda3,floatX=float32,optimizer=fast_run\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Using Theano backend.\n" + "Using Theano backend.\n", + "Using cuDNN version 5105 on context None\n", + "Mapped name None to device cuda3: Tesla K40m (0000:84:00.0)\n" ] } ], @@ -108,17 +102,13 @@ "%autosave 0\n", "%matplotlib inline\n", "import sys, os\n", - "os.environ['KERAS_BACKEND'] = 'theano'\n", - "\n", - "from theano import config\n", - "config.floatX = 'float32'\n", - "config.optimizer = 'fast_run'\n", + "%env KERAS_BACKEND=theano\n", + "%env THEANO_FLAGS=device=cuda3,floatX=float32,optimizer=fast_run\n", "\n", "from collections import OrderedDict\n", "from keras.layers import InputLayer, BatchNormalization, Dense, Conv2D, Deconv2D, Activation, Flatten, Reshape\n", "import numpy as np\n", "import pymc3 as pm\n", - "from pymc3.variational import advi_minibatch\n", "from theano import shared, config, function, clone, pp\n", "import theano.tensor as tt\n", "import keras\n", @@ -133,16 +123,16 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "3.1.rc2\n", - "0.9.0\n", - "2.0.2\n" + "3.1rc3\n", + "0.9.0.dev-f4bb35d6264213d023706b7baa065a60c6416149\n", + "2.0.4\n" ] } ], @@ -163,9 +153,17 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Downloading data from https://s3.amazonaws.com/img-datasets/mnist.npz\n" + ] + } + ], "source": [ "# from sklearn.datasets import fetch_mldata\n", "# mnist = fetch_mldata('MNIST original')\n", @@ -173,7 +171,7 @@ "\n", "from keras.datasets import mnist\n", "(x_train, y_train), (x_test, y_test) = mnist.load_data()\n", - "data = x_train.reshape(-1, 1, 28, 28).astype('float32')\n", + "data = pm.floatX(x_train.reshape(-1, 1, 28, 28))\n", "data /= np.max(data)" ] }, @@ -191,7 +189,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 5, "metadata": { "collapsed": true }, @@ -217,7 +215,7 @@ " # Shared variables\n", " for attr_str in attrs:\n", " attr = getattr(l, attr_str)\n", - " if type(attr) is tt.sharedvar.TensorSharedVariable:\n", + " if isinstance(attr, tt.compile.SharedVariable):\n", " if attr is not model.get_input_at(0):\n", " params.append(attr)\n", " \n", @@ -244,7 +242,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 6, "metadata": { "collapsed": true }, @@ -255,13 +253,13 @@ " \n", " Parameters\n", " ----------\n", - " xs : theano.tensor.sharedvar.TensorSharedVariable\n", + " xs : theano.TensorVariable\n", " Input tensor.\n", " latent_dim : int\n", " Dimension of latent vector.\n", " \"\"\"\n", " input_layer = InputLayer(input_tensor=xs, \n", - " batch_input_shape=xs.get_value().shape)\n", + " batch_input_shape=xs.tag.test_value.shape)\n", " model = Sequential()\n", " model.add(input_layer)\n", " \n", @@ -290,7 +288,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 7, "metadata": { "collapsed": true }, @@ -315,7 +313,7 @@ " self.xs = xs\n", " self.out = model.get_output_at(-1)\n", " self.means = self.out[:, :dim_hidden]\n", - " self.lstds = self.out[:, dim_hidden:]\n", + " self.rhos = self.out[:, dim_hidden:]\n", " self.params, self.updates = get_params(model)\n", " self.enc_func = None\n", " self.dim_hidden = dim_hidden\n", @@ -324,8 +322,8 @@ " if self.enc_func is None:\n", " xs = tt.tensor4()\n", " means = clone(self.means, {self.xs: xs})\n", - " lstds = clone(self.lstds, {self.xs: xs})\n", - " self.enc_func = function([xs], [means, lstds])\n", + " rhos = clone(self.rhos, {self.xs: xs})\n", + " self.enc_func = function([xs], [means, rhos])\n", " \n", " return self.enc_func\n", " \n", @@ -350,13 +348,13 @@ " keras.backend.theano_backend._LEARNING_PHASE.set_value(np.uint8(0))\n", "\n", " enc_func = self._get_enc_func()\n", - " means, lstds = enc_func(xs)\n", + " means, rhos = enc_func(xs)\n", " means = np.repeat(means, n_samples, axis=0)\n", - " lstds = np.repeat(lstds, n_samples, axis=0)\n", + " rhos = np.repeat(rhos, n_samples, axis=0)\n", " ns = np.random.randn(len(xs) * n_samples, self.dim_hidden)\n", - " zs = means + np.exp(lstds) * ns\n", + " zs = means + pm.distributions.dist_math.rho2sd(rhos) * ns\n", " \n", - " return ns" + " return zs" ] }, { @@ -368,7 +366,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 8, "metadata": { "collapsed": true }, @@ -409,7 +407,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 9, "metadata": { "collapsed": true }, @@ -465,7 +463,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 10, "metadata": { "collapsed": true }, @@ -485,7 +483,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 43, "metadata": {}, "outputs": [ { @@ -495,33 +493,33 @@ "_________________________________________________________________\n", "Layer (type) Output Shape Param # \n", "=================================================================\n", - "input_1 (InputLayer) (100, 1, 28, 28) 0 \n", + "input_10 (InputLayer) (100, 1, 28, 28) 0 \n", "_________________________________________________________________\n", - "conv2d_1 (Conv2D) (100, 1, 28, 28) 5 \n", + "conv2d_19 (Conv2D) (100, 1, 28, 28) 5 \n", "_________________________________________________________________\n", - "conv2d_2 (Conv2D) (100, 64, 14, 14) 320 \n", + "conv2d_20 (Conv2D) (100, 64, 14, 14) 320 \n", "_________________________________________________________________\n", - "conv2d_3 (Conv2D) (100, 64, 14, 14) 36928 \n", + "conv2d_21 (Conv2D) (100, 64, 14, 14) 36928 \n", "_________________________________________________________________\n", - "conv2d_4 (Conv2D) (100, 64, 14, 14) 36928 \n", + "conv2d_22 (Conv2D) (100, 64, 14, 14) 36928 \n", "_________________________________________________________________\n", - "flatten_1 (Flatten) (100, 12544) 0 \n", + "flatten_4 (Flatten) (100, 12544) 0 \n", "_________________________________________________________________\n", - "dense_1 (Dense) (100, 128) 1605760 \n", + "dense_19 (Dense) (100, 128) 1605760 \n", "_________________________________________________________________\n", - "dense_2 (Dense) (100, 4) 516 \n", + "dense_20 (Dense) (100, 4) 516 \n", "=================================================================\n", - "Total params: 1,680,457.0\n", - "Trainable params: 1,680,457.0\n", - "Non-trainable params: 0.0\n", + "Total params: 1,680,457\n", + "Trainable params: 1,680,457\n", + "Non-trainable params: 0\n", "_________________________________________________________________\n" ] } ], "source": [ "# Placeholder of images\n", - "xs_t = shared(np.zeros((minibatch_size, 1, 28, 28)).astype('float32'), name='xs_t')\n", - "\n", + "xs_t = tt.tensor4(name='xs_t')\n", + "xs_t.tag.test_value = np.zeros((minibatch_size, 1, 28, 28)).astype('float32')\n", "# Encoder\n", "enc = Encoder(xs_t, dim_hidden, net=cnn_enc)\n", "enc.model.summary()" @@ -536,7 +534,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 44, "metadata": { "collapsed": true }, @@ -544,13 +542,13 @@ "source": [ "with pm.Model() as model:\n", " # Hidden variables\n", - " zs = pm.Normal('zs', mu=0, sd=1, shape=(minibatch_size, dim_hidden), dtype='float32')\n", + " zs = pm.Normal('zs', mu=0, sd=1, shape=(minibatch_size, dim_hidden), dtype='float32', total_size=len(data))\n", "\n", " # Decoder and its parameters\n", " dec = Decoder(zs, net=cnn_dec)\n", " \n", " # Observation model\n", - " xs_ = pm.Normal('xs_', mu=dec.out.ravel(), sd=0.1, observed=xs_t.ravel(), dtype='float32')" + " xs_ = pm.Normal('xs_', mu=dec.out, sd=0.1, observed=xs_t, dtype='float32', total_size=len(data))" ] }, { @@ -562,35 +560,24 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 45, "metadata": { "collapsed": true }, "outputs": [], "source": [ - "local_RVs = OrderedDict({zs: ((enc.means, enc.lstds), len(data) / float(minibatch_size))})" + "local_RVs = OrderedDict({zs: (enc.means, enc.rhos)})" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "This argument is a `OrderedDict` whose keys are random variables to which the decoded variational parameters are set, `zs` in this model. Each value of the dictionary contains two theano expressions representing variational mean (`enc.means`) and log of standard deviations (`enc.lstds`). In addition, a scaling constant (`len(data) / float(minibatch_size)`) is required to compensate for the size of mini-batches of the corresponding log probability terms in the evidence lower bound (ELBO), the objective of the variational inference. \n", + "This argument is a `OrderedDict` whose keys are random variables to which the decoded variational parameters are set, `zs` in this model. Each value of the dictionary contains two theano expressions representing variational mean (`enc.means`) and rhos (`enc.rhos`). A scaling constant (`len(data) / float(minibatch_size)`) is set automaticaly (as we specified it in the model saying what's the `total_size`) to compensate for the size of mini-batches of the corresponding log probability terms in the evidence lower bound (ELBO), the objective of the variational inference. \n", "\n", "The scaling constant for the observed random variables is set in the same way. " ] }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "observed_RVs = OrderedDict({xs_: len(data) / float(minibatch_size)})" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -600,7 +587,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 46, "metadata": {}, "outputs": [ { @@ -610,25 +597,25 @@ "_________________________________________________________________\n", "Layer (type) Output Shape Param # \n", "=================================================================\n", - "input_2 (InputLayer) (100, 2) 0 \n", + "input_11 (InputLayer) (100, 2) 0 \n", "_________________________________________________________________\n", - "dense_3 (Dense) (100, 2) 6 \n", + "dense_21 (Dense) (100, 2) 6 \n", "_________________________________________________________________\n", - "dense_4 (Dense) (100, 12544) 37632 \n", + "dense_22 (Dense) (100, 12544) 37632 \n", "_________________________________________________________________\n", - "reshape_1 (Reshape) (100, 64, 14, 14) 0 \n", + "reshape_7 (Reshape) (100, 64, 14, 14) 0 \n", "_________________________________________________________________\n", - "conv2d_transpose_1 (Conv2DTr (100, 64, 14, 14) 36928 \n", + "conv2d_transpose_19 (Conv2DT (100, 64, 14, 14) 36928 \n", "_________________________________________________________________\n", - "conv2d_transpose_2 (Conv2DTr (100, 64, 14, 14) 36928 \n", + "conv2d_transpose_20 (Conv2DT (100, 64, 14, 14) 36928 \n", "_________________________________________________________________\n", - "conv2d_transpose_3 (Conv2DTr (100, 64, 28, 28) 16448 \n", + "conv2d_transpose_21 (Conv2DT (100, 64, 28, 28) 16448 \n", "_________________________________________________________________\n", - "conv2d_5 (Conv2D) (100, 1, 28, 28) 257 \n", + "conv2d_23 (Conv2D) (100, 1, 28, 28) 257 \n", "=================================================================\n", - "Total params: 128,199.0\n", - "Trainable params: 128,199.0\n", - "Non-trainable params: 0.0\n", + "Total params: 128,199\n", + "Trainable params: 128,199\n", + "Non-trainable params: 0\n", "_________________________________________________________________\n" ] } @@ -648,43 +635,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "To perform inference, we need to create generators of mini-batches and define the optimizer used for ADVI. The optimizer is a function that returns Theano parameter update object (dictionary). " + "Let us execute ADVI in PyMC3. " ] }, { "cell_type": "code", - "execution_count": 19, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "# Mini-batches\n", - "def create_minibatch(data, minibatch_size):\n", - " rng = np.random.RandomState(0)\n", - " start_idx = 0\n", - " while True:\n", - " # Return random data samples of set size batchsize each iteration\n", - " ixs = rng.randint(data.shape[0], size=minibatch_size)\n", - " yield data[ixs]\n", - "\n", - "minibatches = zip(create_minibatch(data, minibatch_size))\n", - "\n", - "def rmsprop(loss, param):\n", - " adam_ = keras.optimizers.RMSprop()\n", - " return adam_.get_updates(param, [], loss)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Let us execute ADVI function of PyMC3. " - ] - }, - { - "cell_type": "code", - "execution_count": 20, + "execution_count": 47, "metadata": { "scrolled": false }, @@ -693,21 +649,32 @@ "name": "stderr", "output_type": "stream", "text": [ - "Average ELBO = -54,641,644.54: 100%|██████████| 1000/1000 [18:59<00:00, 1.19s/it]\n", - "Finished minibatch ADVI: ELBO = -53,421,131.77\n" + "Average Loss = 2.2294e+07: 100%|██████████| 15000/15000 [23:47<00:00, 10.52it/s]\n", + "Finished [100%]: Average Loss = 2.2264e+07\n" ] } ], "source": [ + "# In memory Minibatches for better speed\n", + "xs_t_minibatch = pm.Minibatch(data, minibatch_size)\n", + "\n", "with model:\n", - " v_params = pm.variational.advi_minibatch(\n", - " n=1000, minibatch_tensors=[xs_t], minibatches=minibatches,\n", - " local_RVs=local_RVs, observed_RVs=observed_RVs, \n", - " encoder_params=(enc.params + dec.params), \n", - " optimizer=rmsprop\n", + " approx = pm.fit(\n", + " 15000,\n", + " local_rv=local_RVs,\n", + " more_obj_params=enc.params + dec.params, \n", + " obj_optimizer=pm.rmsprop(learning_rate=0.001),\n", + " more_replacements={xs_t:xs_t_minibatch},\n", " )" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "I've checked the plot, seemed like convergence is not achived" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -719,19 +686,19 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "`v_params`, the returned value of the ADVI function, has the trace of ELBO during inference (optimization). We can see the convergence of the inference. " + "ADVI instance has the trace of negative ELBO during inference (optimization). We can see the convergence of the inference. " ] }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 49, "metadata": {}, "outputs": [ { "data": { - "image/png": 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c9FgcLtMjKkyLM9N6IFinRrBOjadm5CEiRIOiEtvJKsN9GGNzDrjBmbEe93uO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\nYacNbpQAAAAASUVORK5CYII=\n", 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ElAK8s+F0nb/x1H090LOTD9ycVdgc+Qd+qZ5PwNfTCTmFFXWeDwCPTeoGH08n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\nVvL/AatCwqz+iFY4AAAAAElFTkSuQmCC\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -739,7 +706,7 @@ } ], "source": [ - "plt.plot(v_params.elbo_vals);" + "plt.plot(approx.hist);" ] }, { @@ -751,14 +718,14 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 50, "metadata": {}, "outputs": [ { "data": { - "image/png": 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Ihzz57BcpZZehO7x0xiiMG145MSPctx3ZsCfiNYgNgQGBfaAtsGHYG3Mf88fs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\nCAQCgYsgmKJAoAS0YsszgeFqlL1rFJPJPJ390Kh89TIH68W1TWedsHr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bIhbIdunuFFKy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CqTE2Uync/HbMPZB69Txe6Z3fSnn35ayq9S5bl4VXB5uDpj4rmgnP2aDb8ukMoi7T4p00WreW4g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GG28EYNmyZcOePRa6rVnhM/OYIWfFeW0hZ8BmIXlctmxZoVw4Izde57DDDgOS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\nIvtY5cc26QHlGQ5+z3ig555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LlCt98s/70LgoVSv/XnZvVT5/fyeccELxHLfQue2224Du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\nO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vef+2uje7guZ9XAk+zt7c1ioqjVw74w7ab6Nmwe3lTZXnBZ/ZpOnhWGHeG102ZnIfBo\nitk5eLbuyfh5UWAgMx5TsT7eJl5XEWvXKfmwH49XqMcC+zhvdFw4w+Y224nsTj8bDmbA5UrNYc3U\nr0pVye5U1ipePizxpk2balip1JzdaFucUXB0QjYYIZgwYmrKxk9/sqUy+GD1QCfjYZnLmA+JESrT\nWZkt+vvM8VwbydZsF8EUBQKBQCAQCGiYM0WjRo3KmCFWyezZ/va3v5WkrAoo3kHZqrKKjJ5G4fEH\nfqYPq+NHHnlEUl5r6eGHH5aUeyH9rb4HIiaqiKIssHh4m2QUoBPkwHvybIjBrspdhO95e1ZKKnOs\nGGMzmJW4q8ZwkCXlUQ/Gs6u850iTS6o/1gdSLqkzsrUb39IOOjlGU3X+Oj1nD8TvczBFgUAgEAgE\nApK6Dg6iy9fsicqOnp6ejCki7gZ4ZsJAex3NwLOPOPeFk4jZt6Viq58zNZS8dnQ6atSo7Cwe6sN4\n1WRiI4aiHCkMRt2qQCAQCFSL5EkCw3lRVLzHSPhx8sVRKgh0KMta1Cly+LEDvkAdyvKAWAwNPYyk\nsV/ESJVLGrmypUqdjASMVNmSRYEHuB2BQCAQCAQCQxLDnikKBIYrRqLX7AHnAx3oP1jwZImyw36H\nSz8Ut8OloZkE0SrKDloebkgdFzQcdhjKUK+Ab7s2GExRIBAIBAKBQD8IpigQCAQqwkhk/wKBkYhg\nigKBQCAQCAT6wbAu3hgIBAYXHr9A7EnqQNRifMNAFkrtNDzTksOQOf6FgzIpMjuUS4QUkTqMeSjq\nLsXSpWRIYSjL1t//Up9JHfU0EChrU5kuUnFSxXtUHTMVTFEgEAgEAoGAgikKBAL9wI+i8evo0aMl\n5Qfgwozwvn+eoqo7duyoOSploOtXNeJ9O2hTqh8OO+wwSdLxxx8vSZo8ebKk/CibF154QVLtET3t\nwHXk/QZ7xf/HjBkjKe9v/t/V1ZW958dTOBPmB3V2IistJRfv0xauHCsE0AnsJVeKyLr9cX908+67\n79YcPVQV+mNApHw8cZ0wYULWfvTnrCS6oM1FOaScreSoIj5f5ThLyeP2gyy0HTnHjRvX5zXjhzby\nvZ07d2byMKe89dZbknL9tipXMEWBQCAQCAQCGiZMUSsZHSlPr+xeZSvdoXAkRTFB4K8AACAASURB\nVH+yNbtvnIr9GEiUeU2g2T4vyjbQ9VWcSejp6cm8HzxYrnh+fNY9PDw6PFred5mqjFPxGCH3UvHo\nJk2aJEmaNm2aJOnEE0+UJM2dO1dSfvwOsTSvvfaaJGndunXZ32+88Yak/DgbPFnGGvJWNebK7Eyq\nHRf+XfrhyCOPlCTNmzdPkrRgwQJJ0uzZsyVJr7/+uqS8/7Zt2yZJ2rx5s6Rct60gJYfbE69TbESR\n7YPpwoN3VgLdcNSQe+e8bldXXV1dNWOIttBumCEfR1OmTJGU2+j06dMlSTNmzOgjG32PLjh26OWX\nX85eu5xVyFWUiSsMKzLAkCDjlClTsjGFjrA9Pks/MF42bdokKR9zHMj96quv9pEbGduRzeXiNXJx\npa3IMGHCBEnKjoRCXo66Qnf0CzLu3LlTGzZskCQ99thjkqTnn39eUs7KwiQ1/bvR1KcDgUAgEAgE\nRiiGBVPUyErPK8p6BVY8HY9U57V/jytg5Ys3O5BMkXsVtM3jGw4cOFCzP+4reMD/6RdnwAZCPmcf\n8AB5n7Y7Q+Lfd/aP1729vdl7eLiwMFXL6V47Hg1e69FHH50djAubcuyxx0rKvSW8bdgFDs5dt26d\npFrPDvYFmfzw407ECtDneH7Id8IJJ0iSli5dKilnTPgebcXjnjp1qp577jlJuWeOZ+vMUSrmqAo0\nmgXDOMFWYcbOP/98SdKll14qSTrmmGMk5ePtkUcekZR7wPRbO0gxqz4/uJfusSY+forsDN9BbvRM\nf8G6uM6wzVZ1Va8ttMHH1BFHHCGplv2FCeLKOKPNfI82Mi5hivj/+vXrszFYlVwuk8cFwf7AnDAn\nHnnkkVk7sb05c+ZIym3S43PQCVds8NFHH5WUzxft/Kal5MK2YOuQi/FBW+lrmKGjjjpKUq4zHzfM\nlTt27ND8+fP7yI8dwMYy5wRTFAgEAoFAINAChjRTVLb339PTk61M2aNk1ehZMO41sZrGe2J16cwJ\nXhWeAtcq5HL2xj093/N376Le931V7FkuvMbj8bOa2q3IW09XKRYFnRF3gveAd4AOPAPEM2AAn3Ob\nkHL2ZePGjZJy1snPB2oWKdnwgE455RRJ0jnnnKNFixZJyj1T2kdbsC08WvbfPbOLDCa+5ywfHmAr\n9TtSdYcYV+gG+fBokYn38dLQhbNZvb29NR77m2++2ec17fezqVqVxd8/ePBg8n8uP3KgkzPPPFOS\n9LGPfUxSzpTR1+gSL5wMGXTpsRfteOkpeDaVZ5shC+Pv8MMPz2xs6tSpfT4Lu4l9Iw9yENfBOGs1\nnqM/2VIZcLyPbSIXLAUyYZM+LmApYCH4/Ny5c/WnP/2pj1wwzq0ixWojA3Mg/YxMU6dOzWyHce+2\nBZOMnpGHe8DeMpaRhZijduItPUPQdUUbkA+2j3mD2CFnu7BdGGaYycMOOyyz2yVLlkjKbY5YI3TW\ntCwtfSsQCAQCgUBghGFIMkWp/Un32g477LCa6HX2LFl5skJldZyKOfIsCrzWZ555RpK0ZcsWSe3F\naXgWhXvfHqGPt+Y1HNwDKHpVfAbQbrwI4jh4jdfhsTbNol5NEWe+YEbQFYzIrFmzJOUsA96C1xNB\nV3iIZW2eMmVKjefqGRpVxd0gIzo56aSTJEkXXHCBJOncc8+tiR1CN1zx3LxNnqlRrCsjpePkWpGt\n7FR7z/AhVsArN5PhAurZG/qDpWXMcY92a8S4N94fK+P269kujMnLL79ckvThD39YUl6PiHGH9478\n69evl5TrNpXV1g6cdYIpwM6cfcCO0B3XKVOmZP/js3jjsAzObvI5nvnQQw9Jaj2eo55cPlfDwtHn\ntJHXzm7SVvrDmRHGE/0Ao9vd3Z3FGcEYtTtPpmTjfvwO8fvFuHr33XezcUKbiBVinDhzBAsDi7lw\n4UJJeUwStkncWytIZWl7TC5t8qw0XjOno1vmbWeKuM6ZM0dnnHGGpHyu5RkrV66s27ZGEUxRIBAI\nBAKBgIYYU5TKpmAl7zE2kydP1uLFiyVJp59+uqR8VYxH496oZxHgZRDtzvvUdCAzpp3MF1bNtBsG\niGfiofC+s160Ee+cK/3Cqnv//v01nhurZ2o43HvvvZKkBx98UFLubbS6qgauu56enpp4LrwfdIbn\nwms8PXSFtwDLgLft1ZJ53zOh9u/fX1ODo132IWWjtAn2izaceuqpkg7ZKp7Z008/LUl68cUXJeVe\nNV46zBn24Nk0eMBe5bUdhqjsfKgUS+e1kp588sk+snnV2WJsAZ67s0h+z6pqS9XL2vIYCK8Xg7dN\ndtnVV18tKdcRXjvyYV/Ub/LaU/RHOxmCqbOs6KcUM1aMHZJye8LOTjzxxGyM0m5skywsWAbP6CIT\nCkaN2I92dOc25ywE73tcJH3M74Uzj1zRGbsB3L/IXBNvxNzUbk0f1xV2wfzhrE8xhitV2wgbZB5k\n/oSBZl6B7UNX6NJZnXbkweYY2/QbctFGGB+PA8XekBEZvF7Uhg0bMltFHlhb7LxVBFMUCAQCgUAg\noEFmispONeZ9PADPwjn++OOzfUWyQWCIYBnwAmBKWHHilVKJ9uyzz5aUez7sO7OCbSWDJ3UGEW3E\nq2KFS8VSPBVqNvjK172MYpVd/oen61l5VPtcvXq1pDyOI5Wp06jc7rV2d3dn8tJ+6kqQLcDePUwZ\nfU48Bt4pbURe7ABvBE+HKsKwNBs3bsw8LrzFqita+xk+XkMFT++1117LWJSHH35YUs6QeBVhP/fI\nGTHGQ7E+lVR7XlUz8Pgb9wBTdaxoO231uCC8VoBXu3Xr1kwevEG8RGfzqor7StUmk2pZV8bktdde\nK0n6yEc+IinXJ0wIWVewLcwfHt9TPPOt+H47KIuVcjvBvtAZbBZz6OzZs7N7wPSRrck8yhjju4xp\n7N7PQmsWRRlcLq7OKBYzGouv+Tw26NXImU9gy2FUyLSbM2dOJpc/s1W5UvOsy+IxOAcPHszew0Y9\nM9qZJMB8yudgv/wMvE7Ixb2dIeJ7zAc+l3u8JXNCsbaW15Dy6utx9lkgEAgEAoFAGxiSMUXOELE6\nZAWMF75o0aKMTWHFSbwGHtwTTzwhKffsWEXi6XjGE/vtnoXG61bgHr9ni3gWEXKzqqYNrIjdG8c7\n6+rqylbL7LPCmiAv3hDygqqyzoqZcuxZw8YRX0O2AG2h7g7sFV4qHhwMgscQ0F8wazwHBm7t2rWZ\npwtj1A6bUoTXsYFB8HpFxT12bBTPlbaw7w7LgCeHfHwPlg8W1FnPTp595ieOe0YkHrWfz+SxRXx/\n165dmefrMRFVV+ROMdFSPh8wj5AteNVVV0mSzjrrLEn5+FmzZo0kadWqVZLy+QbWk1gbz3JF11Xq\nyFmLVAYdsReMD1gw3mccbtmyJRsvjz/+uCTp2WeflZTbLDoiHtCfhd6dxWxFthT74HXb6rEIUm5X\nxThHKR8vXrOM759zzjnZ5/2cwnbruLlt80w/55C5nzEi1db6Aj5WvXo8NsmYRUeerdcOUnLRVuzB\ns8iAx0N5PCG6A2PHjs2exW+ZrxtatcFgigKBQCAQCAQ0xJiilEfHlZUtns7xxx+frX7x2GAbiN/A\nu8abYFWJ50emF2wDHi17mXjl7cQU8Wze92fAbPjpzV65FIYIBoXVNp7B3r17M+/voosukpRnHLB6\n5pl817OIys4EK4sDAwcPHqw5e4grq37YO7xSMv54n37yM8/QOd49bBj3p7+eeuqprLopnkhVMUUu\nv2eNeM2h8ePH15ybhffpJ6xjD+yZk7WGLHiPHufQibPOvCItzCpMAfEotJnx5PWLiGsosmX87RWX\nq0bKVru7uzO5YAduuOEGSdLJJ58sKZ9zyEK98847JeU2W6ybIuXxc6k4qSqRillEJtrO3AZTS0wf\nNcuKVZt5D9vz7CjuBTOITRfPG5TaH2cHDx7M5EvF2AH6Frm97z2uxRlWjzHCdseMGVOT+dYuyuJn\neZ6fsNDV1VV6/ppXgvcYReLB/DSHdjOPi+1PxbXRt/yeegZhan529rOoB+Z/rjB//G60imCKAoFA\nIBAIBDTITFGqem7KC2dFDyNwzDHHZKtCGCG8aj8Hxk+OZnVJLACeLp4S9/EsgEb2lH216yt77ule\nKJ4LXhisA6trsrM8lgh0dXXVxEzhucK+cMXD9fOlyjy8lM6czZs0aVLWx3iXxMwA5CazhT73Ghap\nk9nxzjmpnL1yToF+7rnnaliVduHyc188HZ5HLEbxZGs8Nc8+xJ7pQ+JWqCUFgwZD2Cy71wpS8SnY\nE4wQ8U9+9hFeOzbgFeVhPeu1v0o5inBZjjjiiOxsOrLMeE3fwkD/5Cc/kSQ98MADfe6FDfI97B+v\nlfHmZ2Y1M5+UyeMsHuONOmdk5npmHHZGG5999tmaOcbjdGBRPO4NeYsxMO2gu7u7pnI/c5ozYrBY\nzAt+Lhu2xvsemwhzQjwctr179+6M4fQ6PC1nNlmNIZ7tVcedxRk1alTNd4jXcdvyKuwp2+Q303Xc\nimx+2oTHOTmDmDr7jbYD7wd0fO655+rcc8/tc89169ZJyn/7Wz1fMJiiQCAQCAQCAQ2xmCKHr+zw\nDPBWJk6cmHnPrJZZPXstDmeILrzwQknSaaed1uf/a9eulZTHbzRzflKZHF6LAiYI4J2xwsejgSki\nBsPZnWLmF14OrAQeCPvs1Gvy/faqvPNiFXJiZ2gTnh+68lo29IufeYf3wP2IIaLKMDFm6OzPf/5z\nJmuZnK16R65T7u+ZLbBg559/fg0LQV/hwf7xj3+UlDNEMGl47ymGKIUqTmB3T49xgk5g9Yh38H19\ndImXSszbW2+9lWWmdeI8sHpAFhiTJUuWZLF3zAN8hpihm2++WVJeWwo5uQdxOrAz2DAxOZ5pWIVX\n7vV2mC+I84IZYlygM5ghdEbWJ6zmSy+9lLXH9QYjRuwVY5q5if6BlWk3m3XcuHGZXF7Zn8/w2mNI\n6BcYA8aPV0/m94TdgvPOO09S/puxbt06rVixQlI+RtuVC114lXo/o9Pjfnp7e2tq+rhteazlxRdf\nLCm3B+YoMrKx8Xbi3TyWzKuO+6kGnkUG+C30Surcn99zxts111yTsZX0C7rid6BVBFMUCAQCgUAg\noCHOFLm3iudQPOuLFSr/g0VgxelZEngXeIawTniAHksEfIWbqvDbH5xd8NObeZ9VMsyAv/bMIPpg\n5syZ2RlwyMdniLOBKfKaMO2C/kCmww8/PGMF6HPaCfCSyL4iJoL+cDnxzsnSIkMIb4Q9ZTzfN954\no7QSbbuen2du8Dzsp+g5wybQD+5lkwWEjvCAvEpws1XGW5HHMye50ibGCUyt15Tyc7W8htSGDRuy\ncVxFnZT+4LE3jPkFCxbosssuk1RrQ7/73e8k5YyPs3t448jl51ARm8i8Qv+1W/FZyscDbPDSpUsl\n5cwAHjTeN7EjzAH+PozDqFGjsn5gLHrcHswa36GfuCJ/q+MK2WbNmpXNYcxp2Al9yjyBLTrLxRVb\n9LgoqnHTf5xqwLi86667MvYBNqpVuWi7x0NSs80ZFuyJ8XTw4MFsrvbTFrApGDXuCZPOs+inX//6\n15Jy5tArgDcDj5FirmeuZneAK8wjn/fxwLwJ28O4QaZiVjW29vvf/16S9Mtf/lJSPuem5suybLtg\nigKBQCAQCAQ0xJkiwMrOax0ce+yxGQPkVVpZkXqFVVaoZAWx2mYVjWfop1mnouZbiS3y6rawNu6V\nwzr4nq/HYNAHc+fOzbwrPBLiUqjwTTxB1VWQnQUbO3Zstjfv3gB6xMvGw/GKrHi03BuZvFaKMy4w\nRTt27OhY7RtQ78w3KfdOYUamTp2a2aTHEjkz5LWOnJXsBFJn3vnZZ1wZJ3iZXnXca1T5+Jw4ceKA\nMUSenQR7tWjRouw9GKJf/epXkvK4NLxy5ESfnI+FfPSLn7VIf/B9jwtrRR5i66gRReYcMUXED65c\nuVJSXrONGC5kYi6AuZw+fXrGEJHZwxUWhb67++67JUm33nqrpHz+bDXL02VbvHixrr76akl5zA/t\nfuSRRyTVZuH6vAE7URyDUl6lHAYKXfJbcccdd0iSbrvttowBbZXZw8Z5Nuw2jAdtoM1kAjIei3M/\nfzNvMg/CgLJLApOObdI/sHm//e1vJeW22A5DBDPkbYLZ8ZhebM2rkvv5dfQDcyb35zp+/Pgs9hJ9\nMebanfOH9KLIU+r4EWEAjhkzpubgTQyAhQI/LNyDxRAUKgMLmpR78z1fPFQZmIyRp1IH/UfDt/D8\nwNVFixZp8eLFfT7j5fp9Uq6q8J8fVbJ58+aahRh0PYbvR48Uj8QotpXPM7Ew2Jn8oYNZFPE8T1Vt\nR64UBYuOsDcGMYGopPlOmDChJlizuIAs3gu0mlLaCDxI34/S8WMq/Ngb3vfjH3zhy6IDGdF1d3d3\njYNRFTz4kx9aFmRsOx111FGZPIwPX9TwQ0u72Wph2417EdRLCj/OSCvFG+lbn9yZ4wh2ZruMOY1F\nNYshAmoZh7QR3WCzjMPFixdnyQDLli2TlDss9CnJAD/+8Y8l5QuuRn+IUrJhHyzCLrroomzsMJ6Z\ny9iaZD7xwNpiIo6Uj0GCdAk8Zqxi22zDsDAmHb8KuVjAshh63/veJykfbyy+/Diq4rFB2C9jjcBw\nX5AwrthmZPHA9qn/JpbNK/XKtWCLLCg5HoetOn6X6Q8P3PctTe7H51lUsQ2HLmn7+vXrs6N2mFd5\nRll5mVJ5+/1vIBAIBAKBwHsEQ5op8uBGvFLS5rdu3VpTpBDvxwtbQd/jXfE5PMO77rpLUu59eCp3\nlUcp+MF17l349lhq5cvKGNr0iiuuyAJA8QrxfnjthwlWfegmTN3mzZv10EMPScq9STx2P6iSqwf8\n4Z1DB8O+0F/obPny5ZJyDxJPuAqkWAwvOubbRdDkeE5btmzJbM0PUeU72LIfO1BV4cki8Mx4lpdB\nSB0FgLzoyv9fLIwo5cGssBnFAMtObQ+69+kFJ7GncePGZSwDDA+eOnMNtsbWFEwR96DtsDHo2IPk\nfR5ppP2OYuE6qTZIFxYH5hQmlbZgR16eBHb5nHPO0Qc+8AFJOdvCd0kC+M53viMp315sdguGtvqc\nByMA+7Fw4cLsnsxh999/v6ScGUBXzNWe9g0bAzMEU8RYZTsRBgX2C13u3bu3YRbT5eJ7XgKGNrGl\nB9tB//p2HX0wadKkjBHyuYUxxthlHsSm2Tbjd9O3rrwIcEq24iG9zOWwljBh/M5ie2yzw8iyRcmY\npB+wbeyANrI7gO1SyPbpp5/O7s08wu+F7zQ0i2CKAoFAIBAIBDRMmCJPay3GN7CidA+M1S8rUlbV\neKysImEbOEiWgLdOBuimAqy9FDorf5eNlTur6GLAIJ/FO8C7wgNxpqhqINuOHTtqAsbpWz96hBU+\nn8cLwSvnileBJ3fvvfdK6htYLVUbe9NoLBFsF143HiHe2OrVq7O4Nfb+8crx+IkBwYP1o1iqBOMG\nlspTZXkNU0BbnH0BjCcfb8SowNIg26uvvtrRw1LrtRUdYV/d3d2ZXMQW0hZPSf/IRz4iKbdF+okA\nbcYZDApzVitHsThT7DaHt42OeIbPhYw7Z2RJ2Yf9gkGZP39+NhbxwmGfsF2Kc7aacIIMtM2LGjKn\nTZo0KZMDOXkGdsN8wPhhXHHgLWOR9+kfYoWIUYIpgh30/m5HLnSF/cOE+O8LcyPjDZslZu24447L\nAs5hY+grbJY5Ht3BGPFbyO+LxyuV6ZDP79u3L7NN+h72irgt+pi5mPEBUwRzhnz0D/1C0HgxNrV4\nP2Tctm1b9l1sx5nCVJxXGYIpCgQCgUAgENAQZ4ocHuezffv2mtRFVrt+NARpmH6cB4wKe6CdTuEu\ngrbiXXhWksMPXWWVTqbI2LFjs9L9//d//ycp98zL9o2rQtEj9iKMrNy93D6MGTrDs7vkkksk5Rkw\neHjIRpYNXnknUtY91d7jVYgDIq4LZgRPiCyklStXZmwk+sVzQz68KM/E6ATqlQyQco8NG8NTI/YG\ntoE2O5uL3Hjr9Adjl0yY5557LmNnOsGESbX2QJvRWXd3d9bHyE98BkwRWTV46dwTXZLeDNuAJ9vo\nmK4H17sXJWQsO/sEA0QMjRf1I04Irx7d07Zt27bpvvvuk5SzKMRIFQs8Srn90NZUrJDDWUHXEW0u\nxvLAlhC/wjNg/dEVn8MGYS+Z65k/uDJXojNYMsbAxo0bM3nL9FimM4/Jwz74fWK88DxkI9Zm5syZ\nGTPCWENHsCiwTEU2Rao9IJb/M//Q9hRjW5SZv9E/7fM+BzyTuQ3m1WOI6BfKLrCLQLkV7lssZ+NM\nsMvVatHbYIoCgUAgEAgENMyYItBfXIx79NSFoOQ5q+I//OEPkvJ4lE5k+DQKZ4xSGQ94HayyP/vZ\nz0rKvYxdu3ZlRdWo2QML08nCfyk4swXcw/W6RRSghH0BZGq4h9QppqEe/KBDGAY8IWTBm4MpKtY8\nQU68JPrBizZ2Ui7a74wR3jYxELSNvvZ6RrAQ2CQ2ilfL92CIuG7evLmGTakKHu8CO0y8Ap7luHHj\narKe8EjRJ548IJ6NIwUYZ8TaVHHQcoptYd6j37h6XBuyeNFKQD+gG2LZHn744Yzx4n9cvTine+6N\nypmSjfsWmZmUXMwnjCPawPswJMwXyEcNOi9ECmOJjMSZNcPUppgi3mecOdPGOPMih7BW6Linpydj\ngrA5snphVXyXxLOw6BdvI0jFFtWbh2gnLJ1nsXrcE21CLvTtxwchG1lmzKPMN8wre/furdFfM3F7\n/SGYokAgEAgEAgENU6aoEeD5XnXVVZLylTgR+dS2YZU9kGxDGcoynshaogw+7MRTTz2lm266SVLO\nTAxkjJTDj1ahj2FC8OzwHsiCgd3Dm8LDI1OQ153OpJNqMzRSByDiKXmdETykmTNnZiwMeiN2Cq8o\nVSOn0TY24yFxb2KGPHbKjw5gPLkHTJwKusQrJeuEWlVes2r79u0dt028bNqEbpC5yBQBbBPvE7aB\neYP2wxgRA+FH9/h8UoUXS5vwppGP7FO8drxpvHbkJQOI+DAYV3S1ffv2zPb8eBKvgO9sCyizxdT7\nMALU69m1a1cWM+n1uwDxkq5XDjqlKrnH3HgMjcecYC979+5NttflTH2OPkcu2GDP+vR4S+yNNm/d\nujWTF315ZqjHPzH3cE/koq9T4893Koq2zL15JuPAD2D3Q3lpA7WTaDs2TX1Adm6I8UV3Xltp/Pjx\nWbuwVdrkMXfNVswPpigQCAQCgUBAI5ApgjUh2wz2gZUq1V5ZkXbSG28XnunEPi0HQOI5sar+3ve+\nl3kYZcxX6gDQKlHMEpTy9sKuwDLAmKAzGBXYrptvvllS7pV4hoPrpkpduSfo8V/IxpVKx3jtsGDH\nHntslvVDHA5xKGRAwkI0e2ZbK3J6fAF9igeH50a2CLVgyHAq7u1LuSx8j8xAMnyIrWolXqNZuMeP\nh02mGP07ZcqUzAaRh3FD1gtZZsSlwBw5ozIQwOZoC142bUUWYmPwspkfYIg83g0ZinbntdI8m8pj\nptpl2nl2sbIzWWPEpaBPr9TNPIEt8pr+oj/8fEavC+dV3A8cOJCMDSt7DbD33/zmN5Ly8UHMmo8j\nmCWXbd++fRkrib7Qf+qA8JTOPCatjO2q9z62RCYwtZGIwaNPPU4LNo9+4HOw5H7AtJ9nBkPf3d1d\nk/GIfXjWmdtmGXMUTFEgEAgEAoGARhBT5LEQnA/klWfxyvGi/PtgMLK1gJ9gjqd0/vnnS8rjPPD4\nbr31VknSfffdl62w/V6NejZVwj12GC9YFLJKYFCosItubrvtNknSPffcIyn3Jvy8rdRzOwHujWdL\nm2BEYL3YW4dpmThxYmaLxDrccccdknKb5B5VnwVWD9iJZ745M0AMAAwrLB8MGN4q/YFNcj8/I20g\nx5VX+vUYhK6urmxsMW/gjcMuEZ/iZzgNRgwifenjALvBq0a3XIsxMlJtxev+mIKyeaMqxg/7gXHc\ns2dPFmuHXNga8rhcwG0tZXM+j7gs+/fvb1vP6AAdwZgwL7vO0An9UZQtVePJ50FnL70yd+rMzWYA\nUwq7DXPk8PGPDr2Nqew9Pkd/Fc/aK5Or2bg2EExRIBAIBAKBgEYQU8SKm71a9tfZf+akZTzfsvOW\nfP95MMAeN7UsOE8LxgXv44EHHpB0SNZU9c5GsyWqQldXVw375vvM7i0RQ4C3eOedd0rKvRA/n2qg\nZCnCs29gtWAW8F5gJ4jx6u3tzfbRsUHYS4/tGAh5kIM+pd1uJ14LynUKUp7eYMIZEeYCdPP0009n\ntgeL53EaXjNqMOXy6uHoxmuzOYOQyrJqBJ1ihhy0DYZxx44dSbm8La3O0T5/dGKuL54FWbz6bgCf\nc9aqEV2V6agTOsOmsEWveJ76/WzWBj3btShLp85MDKYoEAgEAoFAQCOAKfIaPrArRLlzejU1btiP\nxyv3FToYzArQzqB4BWSYFDIayIgpnkzv7U/FFnUKXV1dNZ6YZ4/QJrwnqnGTeUFWzUBUeC6Dezi8\n9mwJ2Dsqphe9dRiLdj3cTqBRb3IotblRuLcJip4mDMVwQCqrZiSgKNNg1lirGinGZLjD5egUezOQ\nCKYoEAgEAoFAQFLXwUHcJG+20mS973MPWBWyYjjtGuYIDx6mqFPnLrUDl4V6E2RnkVGHTFS2JUZl\nx44dQ0oe3zen3alYAa8K3M75UZ3GUGAWA4FAINAaUnN2MEWBQCAQCAQCGuZMUb17pa6pysSpWg+D\nGVOUupJ15jESnl3S370HQ65UxlJZBerhwL4MZr9WgeHe/kAg0FmM1DkimKJAIBAIBAKBfjBimKJA\nIDD4GAqMaydRxkSD4ch61gPyEd8IG+3xfoNRM6xdNCLbcJaLGM5U9uVwlq2npycpFyiTK5iiQCAQ\nCAQCgX4QTFEgEAg0icE4dy/QGYzUmJmRKldVCKYoEAgEAoFAoB80VNH6mOYpxAAAIABJREFU61//\nulauXKl9+/bpL//yL7V48WL93d/9nfbv36/p06fr3/7t3zR69Gjddttt+v73v6/u7m594hOf0Mc/\n/vFOtz8QCAwCUrE1YDjHmtSD19rirDTiUaiPRqV8qrdTKZvK58O1H94LzJhX/R8pso1EuYo1CquW\nq3RR9OCDD2rt2rW65ZZbtHXrVl133XVaunSpPv3pT+tDH/qQvvGNb2j58uW69tpr9c1vflPLly9X\nb2+vrr/+el1++eWaPHlyJQ0NBAKBQCAQ6CRKF0VnnXWWTj31VEnSxIkTtXv3bq1YsUL/9E//JEl6\n//vfr+985zuaM2eOFi9enHlMp59+ulatWqVLL720g80PBAKdBF4mZwtSKwumhCtV2GFIuHq1cpiU\nejW1htJ5UH4OIYzQEUccISk/j/DYY4+VJM2ZM0eS9Nxzz0nKz/d76aWXJOXyd+JsqDK2zl+7h10v\n9sTPlOSKnmG+Oll1vkyussy/1P9dNmSCBcR29+3b1zFWpVHZip9vdHyk5EJnjdS1axVlctE2wPii\nLa4zb2PxXFDkSs0trequNKZo1KhRGj9+vCRp+fLluuiii7R79+5scjziiCO0efNmbdmyRVOnTs2+\nN3Xq1OxQ1kAgEAgEAoGhjoZiiiTp17/+tZYvX67vfOc7uuKKK7L3U6uxwdq3LMtoK9uHTNUf4fVg\nerONyFYmVxkGUm/ujfv7fvW+T3lVxf+nvtMu6nlyUi4LTsO4ceOy17ANAC+bNuLpuMfj3jjn9rlH\nVIVs7kXjEOHwzJw5s8/1uOOOkyTNmjVLUi2TsGPHDknKHKR169ZJkl599VVt3bpVUh53s3v37n7l\nGwikzlKECYL5hiFCzzt37pSUy8kZi/zfz/sDVcpGf6WeBXxcoeve3t6aGKmJEydKkg4//HBJtbFS\nb7zxRp/3uVYJ+qisD12uFMuJTRPaAfuHzaLLTZs2ZTbJtWrQduzN7aE4f7m+3FaRD7mmTZsmKWdS\n0A02yutdu3bVfXYzSNkabfPP+dhOyea6ww6nTp2aycV8ATvL/Mnc06xcDWWf3X///fp//+//6Vvf\n+pYmTJig8ePHZx36+uuva8aMGZoxY0bWKOmQQc2YMaOpxgQCgUAgEAgMFkqZorfffltf//rX9b3v\nfS9bgZ533nm66667dM011+juu+/WhRdeqCVLlujLX/6ytm/frlGjRmnVqlX6h3/4h440ut6q1FfL\nrERZTaYi8N278hW7eyl4E53cj3W4bB6nUdyXpV0uFytuXzXzvsc8VOnBuly0iXiUww47rE9bfE/c\nwfe8zXhzRRmcfcGrqCxTwfbtYYZmz54tSVq0aJGkQ4zK9OnTJeXeDm3Ztm2bpFo2ZePGjX3+j0eH\nJ4stcp92YgVS5+zBEM2fP19SzpiccMIJkqSFCxdKypkiZ1jRCW1es2aNJOmJJ57I/n7llVck5awD\n3xmIuBUHtolNLl68WJJ0/fXXS5IuueQSSbmeV61aJUlav369pFxnMEXInYqZqALNVs/2OQ1ZJk2a\nlOn7yCOPlJQzRVOmTJGUe9/YHLp74YUXJB1ykhtpQyPojzWRyhkjbBhdcoVBOfrooyXlrJ/PFS+/\n/LLWrl0rKddru/N+ao5P3bf4O5SKc3MWBTJi7ty5fZ7J9zZs2CAp1xlxb1Uyzd5+3w1IMUXMp1z5\nLUBWbHX69Ok1n8VGmUeZL1MVr1MoXRT98pe/1NatW/XFL34xe++rX/2qvvzlL+uWW27RMccco2uv\nvVa9vb360pe+pBtvvFFdXV36whe+kFGwrSIVtFVcwNBJ/sPqEykdx+c9OAvmi3s7hc+VibodeVLy\n+WLAjd4Dy+ot7HxLpt7CqQgPwqMt9Iu3NTVwGgnWRC4mWhbZTMQMap+Qi/R+sV/4waGt27dvl5RT\n+zt37szee+uttyTlk5unSKcmpdQk5otobH3evHmSpLPPPluSdMYZZ0g6tEiCtuc72JhvRdAfq1ev\nliQ9//zzfdpK25Hb+7mZ7TSfrHyRR5v9B8UDq5mIfBL08chWxTHHHJMxy/yQgqoWQc1sVdFe5D3x\nxBMlSTfccIMk6corr5SU2wmLA9qKLGwJ0i/oaDBKFKRCANAJOkXWCy+8MLNfFgromYU5C1bkZzFI\nvzDO2t1GK+ouFQrg7/tigUXP0qVLJUknn3yyJGnBggWScl3TVnSJrK+88kr2LPTKD23V8HFTbwHI\nmGSuYesa/Z155pmS8kWRj0HkYk68//77JeXzTqvbTbSvEaQCp2kjv8/+G3HKKadIyuePWbNmZZ9F\nHrBy5UpJ+ZzE/NqoXKWLok9+8pP65Cc/WfP+d7/73Zr3li1bpmXLljX04EAgEAgEAoGhhIYDrQcS\nZWnArPAnTpyoo446qs9n+B+sA+/7FS+d1TEejr9+8803JeWr6XY8PA/CxaPhiufmgYAe9IrH4KxW\nV1dXDV3PKtm3jzxl2j1a91jK5K4XHO36gwHBG2XL5ZhjjpGkTJfIzdXZLmSgzTAnXPEQtm3bllHE\nAG/J5U8hRf+6jeK9sW3G9hIyb9u2Ta+99lqf9uOZcg/az2u3YZ7J9+iX1EGPrcC3Zv2KPSEDfY0u\nnHFBh85+7tmzpyZFuOqU4Ub6wQ/PRG8Unr3ssssk5R7s448/Lql264F5wlkuZ247mbrujBC6cFul\nnABbu5/61KckHQoiZwsCfaJvvHHmR3TEvbDtF198UVKtjVchn8vlr9ER88h1110nSfr0pz8tKZ9v\nfG50dg+mZfr06Zl9s43mW7rtypRKFvGA49GjR2fsCYwXW7rvf//7JeVjjTbCXqILWD6eCev15JNP\n9vl/lWUjnIn3kAhn/33rj+3q00477f+3d65BdlVl+n+600m6QwIJTQKJCkGu4ZYIiVwCIQkIhpuC\ngDoyjqOOTllaU1M1NVpTTs18GmYY/x+m8IOIQVG8gOF+ESGEOyECEQg3ERSJCCFATEjTIRf6/yH1\nW3v3c87uc9sn3Qnv82XnnD7Ze73rXWvt9T7rvUjK3pGbN29OekcOd53haJt3Yr06izIfgUAgEAgE\nAhphTJEzKVjKWCP580RpO8PAzhKLHJ8H3zV68ii3gLES8DlZvny5pMrddTNgN4wVRluRx8Nf2Q0j\nG/8PC8jZC+6/bdu2JAcWHdbCX/7yF0kZA8YVK4nfN1uOoJo1B7OHTtDbrFmzJGVn+/QH/5cdvbfR\nw9w9FBNrNm/luk9LsyxEka8MbWGscuV5OE2//PLLFY7EHu7OZ/cZ8s/ul9JKuoiiMG73LUMXONai\nC3f+dqdHQvcZA4zV9evXJ0vdWbtGHYebRZ7NxMrGd+iiiy6SlM1JnFPvueceSdLvfvc7SRmD7KHp\n9YaRlwlnTtyPEl3ALHziE5+QlM3Hnp6epEdnyPmeOcdaxL3xb2FNY842y6jkHYuL5INdQHewCZ/8\n5CclSR/72MckZfOLue/pExjbyIYM+ZMI7oEDfatMUS3fTD9NmDZtWkoHgXz4ErFuuHzoju+Zk4xp\nfK74njFeBlNUFKjkjtO862CGjjvuOEnSscceK0k69NBDJWXjDKZ/zZo1qa/8fYo/nMsVTFEgEAgE\nAoFAAxhWpsjPVT0cFqubz0QlEQZ84IEHJh8O2BZ2++yWYRGwBgC/w4Jlp4p/C2fkRMYUJXWsRy7g\nO3SYID6z08WiI4QbSwjrwX1o6J+urq60G8aC50qUCP+HiKZnn31WUsYk1RtF4KjmzwBThByUi5k5\nc+YgeWFO2NFjDWBtojusBfrDw75hHpB506ZNienwMO+ygDXO2IVxw9JGlt///vdpTNFu9M9YxOLh\nXrWYIvcxKsOXyBk1+pR5hLywtx4BiM75u8uUZ5b4v3znUZXtjtDq6OhI8sAyEFRCuxl7N998syTp\nwQcflJStD85uw4RxRbdFUbFlyZGHF63FdwiGgSsWNePrD3/4Q/KZcl8xdOM+m6xdrJs+JsuUy0Ow\nmT/o7qtf/aqkjG0AsJurVq2SlI1l5iprA+sL69P06dPT+wGUIZdU2w+MfkbG888/X1/4whckZWOT\n9iMXazwMEWsQ7wf6CfYLHZZZgqaWr5SfArkPHywm73PGIZG4nOS88MILqR/mzJkjKWMr+b/oqlGd\nBVMUCAQCgUAgoBHGFGHhuBXF9+wuOY8cP3582i1z1suVHSbX1atXS6qMFoJ1wmrCMmCn7tEjzcjl\nyQbd1wYmhc/sgLFcsKSxeDwtO7/r6uqqiPgCMGo8GwsEa+KJJ54YJG+jsvqZ8ahRoypKJGAVYFVi\nRRPBQxSERwJ6P8K+eN4efo+u+vv7U1+55VsWPI+Vp55HD11dXelvHonFuKYPsVy9zciJ30qZ5TCK\nGELPMcXvmB8wBTBD+I3BiiITrB9+X+vWrUt6LmKK2gVk6O7uTn5tX/va1yRljDEM2Z133ilpe91H\nKYs6Q6+sG8xh5iLw6Jt2Jn1FRzDNJJ6E/Tr66KMlZfOPcQU7dOeddyZfKfTlc4/IUa58T0QU46BZ\nxrka3O9r+vTpkqRFixZJyvIQkaeH9wXMya233iopY1RgUpCffkP3rFdjxoxJfjuM51blKmKGGDf4\nwZxwwgmSpHnz5kmSzjzzzHRSgm7uu+8+SdLDDz88SF7mGM9wuehPxi7rTyuyuW+i+7uyXuAjBLtD\nyTC+5/ecZODb++ijj0rKThM2bdqUxiDyAc9716hcwRQFAoFAIBAIaIQwRQCWwssWYCG7X8iaNWsS\na8DOEqaIc2OuWNdY55yrUr6AnTr3ZjeOVdFIeQjP8YNcHm3j7Irnz8h72ksZo+KRIHmfE3bHsDRY\nwlhyyEk/YFV4+ZJGMlfnkbeI2fVj4WFFAs9tgnzojH7z/FTul0H/uX/Lxo0bKzLxNmqp10rL73mf\n0B2sFYzc/vvvn+SAZYBdQC7aypjjXlw9j087GJWiLMGMG6xN/MNghvAPQ8foiH5HR1iza9eurch5\nVFTGoewivsg0bdq0lMMGy5W+xXfol7/8paRsfUHPnhMHXcLSoGv+n68FZeYtYp6hAxgUfIdgw32c\nYYXjL/X8889X+PFVK8SZlwO9Ii/9UgZT5Pm6YE/OOussSdKJJ54oKet7+vKRRx6RlLF77ieFjH4C\nwX3ybIfn0SkLHkEH20Em/AsvvFBSNs96enqS3yf6WrZsmaTsFIR3H0AnMEzo0nMgFZ3QNAOPnqNP\nYSdJ7swY5QQDtvg3v/mNJOn222+XlLF7vBuYn2PGjEksNT5TLkezcgVTFAgEAoFAIKBhZorcMnTv\ndyxJdrYwCJwrrlu3LlnV7KK5+pm4n41j8WDpYdHj5Q6L4X4t9URX+N9gLvI5WvJXzqtBngmTMmsT\nfwbPxwMGBgbSrhm5PBcFctBPXrOqFopyyFSrU+c5gWgbfYh+iSjwGjzuK+HRBM4w4B+FNd/X19dy\n/qVaRSl5Vt5XJi9LPscUvhCej4lxjcXHle+9IGyZGaz9HtUyk0sZ84gfApEejC/mFVfa6Fnb0UNf\nX19FvbCiNrUKH0ewWccdd1zy2YAtwKfmuuuuk5StBwB94s+ALwQWL2Ob+wEsZ6x5xmor2btZT2AZ\nyMvzxS9+UVLGWvE75tndd98taXtdSynL1vz6669XZEl3dhOd0A/83ZnTVn2nRo0aVVG7jOgyfBNZ\nNxlH+EXC7j3zzDOSsrXOI+lgtZCBfsK3s7u7u6I2ZqtjkvHB+4fIQLJvEzmHTpkvzz77rK699lpJ\nGZtCQWWvs8dcQy7GIu8E5GTNch/VVuTyzP74eRHRd/LJJw9qE+9ZWK/f/va3kqQHHnhAUuXal6/N\nSB965KPnrQumKBAIBAKBQKAJDCtTVMQ6eCSPZ53OVz7H4vJ8RFg6XicMi4edrGcFffHFFyVlfi7O\nMNSz6yxiF7BYaT/npF6tmTbydxgidtVFWbZHjRpVwUJ4dAwsBBYwTFFZ+VPytbPY3buF5r4C6Mj9\nE/zMnyvWgudr8np2fX19Fb5Sjkb9VorGaFEdNvp1ypQpiV2gneiTK4wJY5qxjL4b1VErPjnuE4K8\nPgeRn8/oEDDuvCL7qFGj0viGES2LZSgC8wo/whNOOCGxKfT1r371K0mZLwNjDV8q1g18qbD0scJ9\nPDC/PDqn0XpMeTgbBdtFFm7mPHp/7rnnJGXMEFY42dYZdzC3UqZHjyKCweDKXPWo32Z1yLjr6enR\nMcccI0n6u7/7O0mZbxR65MTgjjvukJRVffe1Dfm4t0dUIgPjAkZ39OjRiWXi/dKqXLQdX0/8vsik\nDgPnlezvu+++iggs2GjgeZxg0mAzkQvwXmlFZ+6XxDzIR81JGWsJHnroIUlZRXvYL3/XuWw8Z/Lk\nycnfCtaadZIo5mblCqYoEAgEAoFAQCOs9llRZWk/r877GjkTAOviVXl994xVwJVne64H93PCymiE\nOaItMBiet8h3xZwJY305U1BUT6mrq6siVwlRZ+ywsc45j/Zz12aZInSTj6ijveRX4llYE7AHnDej\nG7eAQFEUX95PJf99PVZ4s/IW1bLyTNDorqurK7EmjAesRnw9+OzRl81GKpWZ4Rp5YFCw6HyO0veM\nQ9gMxiERQzNmzEiRNvi0tMKeDAXPlM94mzFjRpKTzO6wDLQf1gW/BZgiIr18fWHuMpadJW7Fhwjg\nC0PEHNY484r5ABME+0XOJdYAr0+WrzfGOgdzQc4jch3RBlhNKpI36qPooP8OP/zw5GcDQ4Qe8bHE\nD+Wmm24aJBfrZlGGZtZCorJgpPDnYX1+5ZVXUhQi92xWLp7J+4a6c/jY4IsDawpzcvXVV0vafoLB\nOuGnF16HkTFL/bC5c+dKysYoaz++Za3ojHt67ijGJPMFJpaTGHSGLtGd+5MiG36AMLZz585NbBTj\nF9aJcdGsXMEUBQKBQCAQCGiEMUWgqA4TVqj73kiZheEZNdnJAhgUzsTZgfqZeJEvkUfpNLILRR4s\nYnbFyIOcyOJ5mpz9wvrI527AgsWy8wy9WCBY50URTc0i73ODnLAKRBZ4VXj8TLjSJs7OsZ7w86Kt\nnlOqmj9Pu/xT3LeoqMYanzdu3Jjk8Vp2yM3f8WPwzN07EsiFHDACsH2et8trm/E9OkZHMC4LFixI\nDAAMB3KXlYfJI+g8a/DEiRNTu2CIaD9t8lpu6BPLl35irKNT/+wsdzMyIgdr2Omnny4pi4SjLTBE\nWOOwHVjljCtnUjo7O9Pa4tFRWP6ezwk/l3vvvXfQvRsFshEFvGDBAh1xxBGSMh2wjlx//fWSMr8U\n1jJ0yVx0toF1lag2mCFYG3xUWJfvuusuLV26VFI27puVi3X5pJNOGvRs2sIa57IRQbd27do0F90/\niTnGOIB9OvvssyVlTBvz68Ybb5SU6Yyx2oxcXn+MMcmaxjzhWYxFGGf3k/XabzCujAUiLE855ZTk\nS0QeKqLzYIx4rzaKYIoCgUAgEAgENEKZIuBsjDMEmzdvTlaAV6cGfu7KzpNdJpYRTBHWumdA9oy0\nrYB7YH17DiHfNXu0lvuvYDF0d3dXnCfzfznzh63BIi4r4qdafhvaieWF1UOfYyVxHu2132BUsPCx\nKmhzkY5AGSyRZyevhSI/hrVr1yZ9A9gIzslnzZolKWMtGJPoqkzWy/3SPJcPY4rvnVH0fDYejecM\nCj4TWNxdXV3pO5/nZecn8ijGfF4T2kN0kdd288zv9Bt+b/gpwU6QQ8dzwMAQ0R9D+RYVsdA8m2fg\nk8V8Ye2iFhasMH4ctMn9nPLWOX42MBpkj4YJoA+Zy0R+kd+JuVmEWrIRKTV//vzUFnRDBu4VK1ZI\nyqLqYKfc59L9UVjzTznlFElZdmX83fj9448/Lkn69a9/nfx4aq37ResE3/MMan25rw2yoTOYFNiv\nrVu3VkRQ0z8wRLA08+fPH/QMxh6sFz43Ph4akY11gjULXyLWMu4Nk0iWcd4/rIXMG4885j4wTj4O\n99hjj8R8/uxnP5OUsVDN5qRL8jb1vwKBQCAQCAR2MYxopsjzsjhjNG7cuIo6Lpwjum+H1+bhXB6L\njZ25e/iXWd3aGR7Plu35M4qsDnbXnotp7NixqT4QeTCwRLAO8PLnHu30uaF9WMtYrFjZbi1h8WDZ\n0S9YRjAr3M+jz9pRE4w+93sWZX52VoL+ffnll5OvB3pH3lNPPVVSZh0R4YOusPTKyiWVbyd961FU\n7gvjTKkzHX51XyP6AzZw9OjRSW/Nnv3Xi6KK3QMDAxU+YTA/wOuzMUdhZ2C70B3sJ6ym12Csh/Ur\nYlPQDdFSHpWFbw2ZnZlXnvnedc18O+yww5I/CpFfsCs8gzxnv/jFLyRtZ1OkygoCjcrGeGP9mjVr\nVtIXeWdgiFg/nBHw0wKiPemvBQsWSMoYFY8GhcVYvHixpO2MG/pqFrx3iJQiwzPfw25Q8d5PKsCY\nMWPSu4sxRl8hD58Z37A1N9xwwyC5WId9XBShWh07nkE0qUcl8r5hfPBMmFL6nH5gHnFqgCwwUPjI\nMv+ee+45XXbZZZIyttKjKZtFMEWBQCAQCAQCGuFMEdaonz+y2+zu7k7Wju/o+S1WBP4pbtFhteOx\nDlPUbFX1eoDViSVXLZpOyiw5Z5LoFz87P+qoo5LVgC8E2Ws5q/bswWWhWnZyZ27oa+TCmuYz/YE8\nnoEYa4TPWCP5c3ep3Dw3tTJh+1k4FhSMQz7nFPmaYB8Y1zBm+Ijgf0AekbKrxefb5X5cXtOKvvU6\nZbTFrU36gyv3J1cKlvLAwMCgyBqp/PxEgP5zP6eOjo4kJxYq84I2ud8NbCVRnawnMCr0D/4u5D0r\nYm2Gaq+DPvVcbM5icWUMwop7PhuycsMqz5s3L/lwwKLQFtiaH/zgB5KysYnfW73rZC3ZaPPAwEBF\ntBVAZ8jlObHQDZFzjD10xTPwRWKN/PGPfywp8ynq6+trOHu8w2uCAWdHWbs8zxyyTpo0Ka17RMnh\nX4MemT/o6uabb5Yk3XrrrZIyls8jR5uRzeVCfx755+8Z3rv49rI+4CeHjxIyEo0IO4hv0i233JL8\nsPzEpeX6dC3970AgEAgEAoFdBCOaKQLs/IrO9/PfAbea2NGyA8Xa4hw+bx1I7fO1kSp3tLBSRQwQ\nFoDXI8KqYDe9aNGiZGGQk4LzZPxZnEErG/n70odeD4v2Yy1hXdP36BkdYU1QLZuzcvKWkKeiTJ8b\n4HmpgNdNwkrFAsJPg7+//fbbqd3o29kmr2btvlVlAhYOhog8IIwl9x3CvwlrE+aDeYcsyEAUJDrD\nb4r7P/DAA4ltQP9lzzn6jTbS/zB277zzTmov8jsry3yBQSNyDUYFeZAB1gEfRZgUxnY91mxRPzBv\nYDiwnpknsDswJLQVZghdM77InQMD0dvbm/TIHERHV155paQsirUo438tFMlGf3PfdevWpbnD/IdB\nZWyxpiMHax9RWTCw/I4xTUbna665RtJ21kGqPCVoRLYiuTxvFfMmzwBJmX8YjCMyMb7222+/pF/k\n496wuHfddZekLA8RPlIwKZ4pvxXZYJph8zipwZ8LnTEW8Z9EHo+cY2zC4vFMTjjIxs78+vOf/5ze\nH+7P2CqzHkxRIBAIBAKBgHYSpsiRr6/k0S5eJR4ryc8s+R2WD5Zwu/wahoJH1dE2jxDzjNbsrhcu\nXCgpy5IqZREosChYP8ORHdnrQqETrAo/f/ZM3p7Lgv+HBeRZlNsBZxDclwiZYB7cQuzs7Ey/cYYP\ni5a/wwS009cGXTCGaAuWG9Y1OnGWge+dIUMWLF7uB5tBVvIbbrghWeyt5hUpgq8F9Ctz/phjjknr\nASwDcsGyYLkiH/pGvzBnZCC+5557JBXXc6uHDSvqB89vxrPpa5hFfO/cn5K/o0uff2+88UZF/Sgs\ndFiUorp89aJINu6Hjl577bWkA9qPPxrthWVBN16Pjrbh14UsRCuxRnqeo2YY56Lf0l+sVegO1oc2\n409I25GN8cfvpIzFo/1kwea0g3Hha36zkdTVfs+azNoLw0e7YYp4JzFf+Duf0S33I98VGbDvv/9+\nSRnjyglIPjrP51b4FAUCgUAgEAiUgJ2SKQLVzkY9PwoWMXkiOMvkbJc8Ee7BPhzwPEZFeYqw8Dhj\nv/DCCyVttz7ws+F8mQivdvpI1YLX6vFcPnxGPo/kwocAoCusBvfXGKoNzerX8xE5awWzgjXOuOM6\nffr0imd/5CMfkZRZwFg8WID1ZtNtBu6vBvvq2X9pP34nntcHudElli1XdEWOmeuuu07SdgsQJqzR\naJh64f47yIg1esstt6R2wnB5NnXvJ8Yc+WSQC/8Nvvf6YmXMP9oAI8A8IYMx0VWwEPzdMyGjE9pK\nBvWHHnoo5cvBT8XzVBX52LUK+gkWr7u7O2XVZizCZiKXZ2Enshb90k/oiHsX5f1qpa5lEZgnMHCs\nF/jawVAim9e9ZMw+88wzKTs090JvsK/uYwOqRQa3Cp6Fzw/PhPFCLuYTOoNZYnwxbzzjNX5/MFBe\nH3RgYKCwLmmrCKYoEAgEAoFAQDs5UzQUsI7YsbIzxwp49tlnB13ZgbqV4BZRO5kk9553VgLmhFwP\nWIhYUn19fck7H7bBz5X93mXvsvPw6B/a4iwDVhJWhV+J9MHCxQLED4z7V8s+3ap8RVYWVqafreMf\ng67If3PQQQclRghWhfwwfMYf5fbbb5eUsQ3t0A0WGP4HRflUYIjIheL1ymAf0C39QPQVldqJYsKq\n3bhxY1sykOfhvhToCobqjjvuSOzCBRdcICmLlqFtXPkdVjp+KqwfWLae36wdkZAwiFjXyEXdMHTk\nDBlyE7WGjmCX16xZk+aSs5O+frQrUpB+fOSRRyrqyeFzR9tg+5GLfiFPD0yY5zErmtPtyAdGP9HH\nPAN2m5xKMEj0P4wk1zVr1iQ/NfySmMM+zstm8aoBHdAm+hYWjvXCGS9OLtAzuqN/6BeuoJqOiqoN\ntIpddlPEYk2CK47NeNHgyAWNB7yjh/M4zY/LoPpnzpwpKXOoZKAfNqr/AAAgAElEQVQ8+eST6djM\nk6o1Wti0TDAxfMGlTWx+OA4kpTvyMnHYDEGDs7iX7Wg3FHyjxyaAceVXNrQHHnhgOtbwIsRsHEiJ\nzwLRzlIsLF7Anbtx0EcnbLy5+iJOm3FmhQb3kgw7QkeOos3RW2+9lRLAsVmjJIRvfnkR8Tv6jxeT\n66od8rkzMuMIY4E+Z8z5RpXf+YvHHYyHQrv05gltV69enTYzbP54tjv3IgcvXi9eXO/8aafOmAes\necwzxh+/Q2foGNm2bNlSGILuKCpJVKZ86Au5ABtTjstoswfF+HFYvetDtZQv1f7WCuL4LBAIBAKB\nQEC7IFPkBSgJZWQniiXCjtYTJnJtRyLARuFh4ISeEqrKEQ1U5D333JNofXc+dkq13YxRNQrXLV2s\nDKwGrHEcJfkeFuLhhx+WlJVQcCt9R+jKjx9dJg/Fhv4+4IADKsoL8FvkKTqCaQc8TB3WgT7naBJH\nSuT0lARupe9I1q5ReFu2bduW2s8YQ25Pi+HHRsPBJHsS23y6h/zVC0u7Fd4ux/ZWQFvy7A/yeKkV\nH6terHgkyUXbmGcwJi6bu0q4zloJtmhHf9Au9OVyAdddUZqZZtAuPQdTFAgEAoFAIKBdiCnyHSk+\nD1gTJIrL+xNIlY7II8GXyOEWEDLh9PnHP/5R0vaQWvd5KHNn3ggGBgYqrGusH+Sh3R62inwejuml\nJdp1plwNni7BQRvpd/yF8M2RKpMJuuPncIw595HCon0/IN/f9RRqHSmody4XOdyOpLXNUY9su6pc\nOyMa8UfbWRBMUSAQCAQCgYCkjoFh3F6XGTroTBH+NoRzE5IPSB+OX4ezGCMh6gxwzoxPihd0xMp/\n9dVXEwPm5+3DKY/rpuj7oiRqZZyrBwKBQCAAit6JwRQFAoFAIBAIaBdiivyengIeloXP+fwPUuWZ\n70g8n/YoE2QhJ9N7772XfCPc92U4/VZq5ckoGgdFiTNHkm7akQNkJGBXkGtXkCEQCLQHwRQFAoFA\nIBAIDIFdjikKBAKBsuBrVBH7tCuwUR0dHYXZkHdEWaBWUet9UiQbjLtnPs8XHR1u5GWrVZaE74nA\ndrlG8mkIqCXbmDFjCuVpNYN5MEWBQCAQCAQCCqYoEAgEamJnYkwCgUBtBFMUCAQCgUAgMAR2mYzW\ngUAgUBbIDUa+s8MPP1yStN9++0nK8ppRM+2VV16RlGU0J/pzJOQ921mxK0cP7kjZdtV+bJdcwRQF\nAoFAIBAIKJiiQCCQQ1G0VVEFdv+d13UD1SJ7/G8jAci3++67S5KOOeYYSdLnP/95SdKHPvQhSdIb\nb7whSbr33nslSb/5zW8kKdUeJA8atRXbmY29KJ9Xvf8vX7HdI3fcGvcs8+3UXVHG+6LooqK2Av++\nqHIAY7eddcpqZfOvFnXVqFx8Rq6impFlwn3vvI3+uVGdIUtHR0dag7y+Z6tjMpiiQCAQCAQCAe1C\nTFG9kWxF0SNFFjIYCRmha+2i898V3cPRLrnq0YezD56x29vk/hkuv+t227ZtpVtFbo35ldwg48eP\nl5T5pJB1XMosUfxSsHSoV+esQl4eqdLiK0N3ntuE9sKYTJ06VZK07777SpL23ntvSdIee+wx6P8h\n2/r16yVJb775piRp7dq1gz5v3LgxsShc33nnnUHytWtMVrsv+kOemTNnSsoYopNPPnlQG5EDRgiM\nHTt20O8Y243mUGkEtfrJ5wdtJMs/Mk+fPl0zZsyQJE2ZMkVSpos///nPkqQ//vGPkqTf/e53kqS/\n/vWvkrIxXCYj5n1WtA4CZ0gYk575v7u7W5I0YcIESdkcRZeM3Q0bNhRWCGgVRbKBap99jUEu5Onp\n6ZGUzVk+b9y4UVLm7+Y6Q8dlohG5pMoqDciIbIxVdNbd3Z3WDeSj7qevq40imKJAIBAIBAIB7SRM\nUdHusqOjY1CGy/yV3S+7xaKzW3a0WHRu2fkz2YW2YvHVsnT8M5YdsmG1IGNeNmcP3AfE2Rba4hZR\no1Z6NZmKmCDk2HPPPSVJ++yzjyRp4sSJkjJrgLbAoHBFlnXr1g26Yp3n+4f/Q181asm6dYos6ASr\njCsMysEHHyxJOuiggyRJe+21V2o398JyI3IJa5wrfiv8DlmQs1XZpEqdYF1OnjxZUhZtddhhh0mS\nDj30UEnSAQccICnTofuaoIO//OUvg67PPfecJOn5559PesNyxdJDPvcVaBVDjWl0g88QDNGpp54q\nKdP7b3/7W0nSHXfcMegzzBG6wootYjV3JOPsDFFvb6+k7cyQJB199NGSpHnz5mnWrFmDfsvYYiyu\nXLlSUqUv1Zo1ayRlbEsZ8tXKGu5rjrMNzEnWEz7DDPE9V8bhhg0bJEmvvfZaGpN8VxYalS3vQwML\nzXrp66bLiVzMq9dee02S9Prrrw/6+47QmcOZIpdt0qRJkrIxi0zjxo1LDBHvZF9rmJONyhVMUSAQ\nCAQCgYBGOFNUdIaM1TZmzJi0K2YXzd/YPWI9O6PkZ+D8vsj64Hv3d2hkF1qLIfKzb85ROV/Feiti\nv6RKq7rIP8WZMawIvzZr4eZZPNoPq4BfCuzDgQceOOh7fgfyfihSpZ/D6tWrJWWWz1B+K/gL+Dl6\no34ZbrXBCH3kIx8ZJBu+GbvvvnsFW0cbYCewcF544QVJ29kUKWOSsOj4f0XRJPUwRi4HOsLaRAdc\nsdhg9Rh79CtwdhD5GdOwW2+++WYax4w1UBYzVMQOg7yfBgzf5z73OUnSWWedNei3Tz75pCTpxhtv\nlJQxJPhKIUMZTHJZ8DUP1o+IumOPPVaSdOKJJ0ra7jeW932TMrn22muvQf+Xe/N3xpyvG+1ArbmI\n/9ucOXMkZTmmeFfgQ+WMszMoL730kp5++mlJlSx0u+CyMT57enoSe4tc6IK5yVxl7sFywfJxxS+M\nMe3rajvk8c8+NpEB1vL444+XlK0fXOmPN998M7F3rIt/+MMfJGVzj7836lsUTFEgEAgEAoGARihT\n5Nam+wvBoOy+++4VrAKWLv8XC8atZ2eSsBb4HmAZ4CvQSrSW+9Y4A+Rnwc6CIZv7HuV9L2gvv3F/\nFPeZog1YEdyLZ9YbCeSMWldXV4oc4Hz4qKOOkpRF9hDpMm3aNEmVzBjPpi1YeH6+jx8M1/z/oz30\nC22qV66i6Ajug64++MEPSsqsVGSh39esWZP61tk64D40PMOtd88F1ErET1E0Ju3mGcwP2Dm+x8qk\n7R7RhAxY2liv/f39aa75taws0LXm6qhRo9L6ccYZZ0iSPvnJT0rK5uQjjzwiSbriiisGfUYO7ydQ\nxKzWI1MzrGz+9+5HCLt30kknScr8pJiHWOnvvfdeYkuQi7HIGGRu4lMGI8r6AdvZbOTPUPBIT8YW\nYw0/voULF0qSTjnlFEmZ/PQH7CYywjTgt3LIIYdI2t4vjFvGP0xz2UxgURQr82nfffdNEZCf+MQn\nJEkf/vCHq8pFm5EHlo8xynrMuwHdIWOZshWtn4wndDN37lxJ0vnnny9JOuKIIyRlOkZX+KxNnjw5\ntRe5eF/yPX5unBzUK1cwRYFAIBAIBAIaZqaoyMJxpgRLgB0uZ+Pd3d3J0uNvsAUOvme3iFUKY8A5\nMpbSq6++Ougzu3B2vI3kiEEuzrzZ/TqTwo4eeTlHRUb6xSNb8lY77WJHjhWEfG7B8RnL2KOIaqHo\nDHz06NFJf/gKcbaPRcczOeP2KDP3V3FGiN/BVrhvSjUGxdmaelHEOtDPtIVxhV8QGY5fe+219Df6\nCCsJS939NPi9R5sVRRA2whj52KFNzAe+59mwcy+++KKkzGJjXPE7dAP7x1jm/lil/f39FXouykPV\nKor8GsaOHZvYy7//+7+XlM1B5MSH6IknnpCUzSdniHw98PlQ5NtXDc1GfrLOwDLggwJD9PGPf1xS\n5rfBuoPu1qxZk6LpYHxYc1hz999/f0kZIwpT9Pjjj0uq9NksA0W+Q6wr+EadfvrpkjK/PuRDR7B7\nzEmfs/Q7svX09KTxDUMKu1IWm+K6Y/7QBqIBTz/99ORnw7rB/0UufA9ZD/098YEPfEBS1n/8nvp9\nzPEyZPPxz1rPu4xTAnQGq4dOGcPMN97DMHX9/f2pnS5XUS6tYIoCgUAgEAgEGsCI8inCEoAhwYeG\nHSBWCpZOb29vskQ5e/U8GVgD/N0tNnaysBecQ2L5sNvGQnB/nmooqueCHFxpEztdruQPceYI64sd\nfTWrnh02cmIt8UyQz8VRrc31Wqv+u7wfGM9GLixX9IyF45XG+Z42Ya06o1bE+uWvtIffNup/U9QP\n7teDdQbD6BERa9euTfpjXGNV0zb3pfI8Te5z5CxEM8yK9wvzxzNz89lzJcH88P/5PRavZ3jOM1N+\nr7L9NIpyv3CdMGFCslRhPJjnN998syTpgQcekJTNE9rvkZWgKDrJ2bwyMz872wBDe+SRR0qSzjzz\nTElZtBI6Ym1btWqVpO1rHowY6wN+KYxJWE2iLZnTrGX1VhZoRC7PO4Q/02mnnSYp8wdjDff8PKwv\nzz77rKRsnQGeIweZpk+fnuR8+OGHJZXPXqIz+g8WCL+vT33qU5K265L2oZuXX35ZkvTUU09Jysao\nzyPWG96r+D/ik8QYL2P+uW8p6wBrN35Rn/70pyVJH/3oRyVl7zjWUdZNxiPvZebNe++9l+TifUDf\nwWqy9jQqVzBFgUAgEAgEAhpmpsgtXXbL7oPDLpMdLjvD3t7etCN135n8jlLKLB2sI57BGSe5YvB7\nwWMdKwMGoJnoEXasWJHOEMEM0QZ2vDAJMCFY5UXZVTdt2pT61C1W5MSyxZriXvRLo3lWhqqphs8U\n8mB10h/I42f99L3Xo4JZ8Mi5fK0iKdN1Pk8Rfysrzwj9Q5u4P1aoM26dnZ0Vfe910WBMYCvoF8/O\n7kxSK9ar68/zdvkz+IwOnTHAinfmFksPXW3btq1CjnZVXnf/Bvr72GOP1dlnny0pWw8effRRSdKy\nZcskZb4kjCPPDo0OPaoTmbzOnef1KUMumBT6nKzjRCnhcwPTwvxC1rvvvluS9Pvf/z6tn7TXc9/A\nLsDK4PvCWsYYLyNzN3Kx3h933HGSMmaI/EqMPZ5J3rIVK1ZIkh566CFJma8JbIT7sNJvjOnddtst\nsWu/+tWvBj2jVTirhx/U/PnzJWV5snjnjR07NjFB5MiC4YFV8dMMxgP+O8iFvDzzlltuKU02Z/eJ\n5GMMwhAxfmB7iBgjuvP++++XlPlm8n5nTPT09KR7k+eO9ydRlbw3GpUrmKJAIBAIBAIBDTNT5P4e\n7p+BleL+CXnfGnaY7peCZcc9PRswLBS+BETLeGQYbWskaskj1LhiNbu/DwwKz+QZ/B6WCgvIc2Ug\n65YtW5IV7HWOsIJ4NgyHsyy1mJRa+VfyV+8Hz8vk/hXOTmAVeJV4t8bRKVY4/dbf35/+3Sqr4v+P\n8YB1xpjF8kNGfDD22muv9J37wXEv7uG13FyGouizMqxzvydjEjlgBLBgYQGZq163jnnnvkWvvfZa\n3TmiymKOGI/4VnzmM59J1iXrxrXXXispi1zxOYt+YS9gKZCf/mI+oVPuTwZs9+UaGBhoOj8R84o1\njEgeWAfWGdqCNf7rX/9aUuZTVC1CEjDO/e/uQ+K5t5pFZ2dnajeM0AUXXCApi6ajr2kTdfVgGWCK\nYPvQCbIwJrkPuuXvUjbuuSJfs4yz+5fi94Vs+EkhO2PhhRdeSIwe8uFT5Gu451BjvWHu0Qae4RGi\nrcjFuxpG8dxzz5WU+bU5owj7ddddd0mSli5dKimL/kQXyIhs48ePT+1H/+jGa9oFUxQIBAKBQCDQ\nBIaVKfKswp5nBp8Kdun4JeRrtJBPAxaFnSdWkVtk7BqxCjznA7trWAqvn1LPrtOtCHay3JO/Y4XS\nVqwHvocx4MyY3bNn385b91g/7JLpKyx7jzxxBq2WL1ERQ+RW7ubNmyusZc9q6rmjPHO5Z4/2jN6M\nF89lka+27jXumgVyeT95TTWvXJ33sYEZ4v/Sbnw8PEcWf3crvZGcN7XgbKazTq4bIjuQi3nkbC5t\nxAp1v7KJEydW9J1nky8LnisFK/aII45I7cS/5plnnpFUmZeMNQjGFT8GfGqcIfTq8lj1RNMwp5nr\nzUT+eNSU+6PAiPEMfFGuu+46SVmELezVu+++W7FOcoVZBu5DhQ5bZfXy6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wnr0mteue9E\nmXI5A4blgmXmdeiQh89EwGBlcA4Pi4HFRC4Ytx7yPkXNyuVsl1d/d53BCGCtw9z19PSkvvYq5/jx\nYCWis5/97GeSMt+iMjJ0A3TgzBf+Fp4FmBxKtBnk88rk78NnmAf8Nn76059K2p4DBn+cMrLFDwUf\nh+jqpZde0hVXXCFJuuGGGyRl7AksC1F4sCxe7Z7PWOfMM8+sXybwEcEXi7UNtgtdoRvGnVew5zNt\nfu655xJDxJUcUu32RfS6hk8++WSaa7SBscc8AYxldEGkLWOZdQIdeQZ1Z5jbsQYyD/DzQTYYEHz2\nnD1njqxfvz6x/jCEvLtgnTxLeq1TgTLkgnXF94z1D7lgwFgXmA+MYfSNrxUMK+8vZ4by63k75JKC\nKQoEAoFAIBCQtJMzRXkU+cZglWO5w0JgXXBW7llevfo3aFetsDycEfDswPh5wJyQ0XT69OmpfVjm\nWElFDFg7o9CcZXEfKY86gwGDncAyRF4sRKyQe+65R1JmXaBTrIoydeWME8/ASsPyYXxhIdGGD37w\ng4kRwoLnXliuZNQlKoYIpnZkenY2EuCnQB8zb4iMY8zBTnDFouP/Ma+WL18uKYvuzDMtOzICUqqu\nw3weKSmzUD1jeVG9wqIorHasEzyDcc74wNrGpwS/DiJRvY4dv4d5YK24++67EytJf7S7Hh2gv/KR\npowZmBHPCu3VCxhbsDLO3vqzHO1k/5nDjCfmGT5o6MjXSObV+vXrE9OFPM6MF7W/HXI5U4pc5LPC\nbwvmy2sn0h+wlPkoXanyHVhNhnaNyWCKAoFAIBAIBLQLMUXAfWXYwXpNJq+v5REM7Fjb7e9QDe4D\n4Zloh7JC8UfBzwarsKi6eTvhrJTndiHiAAsQCwj2gt/RH0QpEZmANQI74fXv2gm3UmGKaAMRQViC\nBxxwQMrRA/gNFj7sCmMTK7EdFpHXA8Oq5kob6OOlS5dKyuYHrB06o61ec9At3x3NDg2FfFuK2FnP\nGj8S2u8Rg7AOMCs///nPJWV+YbCXrIXoGN0ThdXf3z/semIcbd68OTE+7vcG00o/MBfdp2Yk6Ar4\n/CiKZuU95D5cmzZt2iHrWqNgvXPW3+VzuXz9HEm6qmtTdMkll+ixxx7T1q1b9dWvflXLli3T008/\nnSbdl770Jc2fP1833XSTrrzySnV2durCCy/UBRdc0NbGBwKBQCAQCJSFjoEaW7SHH35Yixcv1uWX\nX65169bp3HPP1XHHHafTTz9dCxYsSL975513dO6552rJkiUaPXq0zj//fF111VVp41T14TUivJqB\n71CxkojMOP/88yVl/ipYWcuWLZOUMS3tqtjdDNya8Nwx+KrsscceiU3BNwIrENalzHwpjcJZPCw+\nctvAQrifC9aEZ/Z2VmIkWBvu/5WP9vPx7n5rI9HCDex88HHmLLn7Vu1s461IvpGwVjeLonfhriCb\nVCzfcI69omfXZIrmzJkzKN16f39/1aOXJ554QkceeWR6wR199NFauXKlFi5c2Eq7A4FAIBAIBHYI\nam6KRo0alXw+lixZonnz5mnUqFG66qqr9MMf/lC9vb3693//d73xxhspt4e0Pc8HPhM7Eh7xBJvA\n+TvRFXzGr4Xzaz/zHAlwRgE/KPJxIBOsmJSd8RLNMdy+Anl4TTPO24EzSsAt25GkI+DZyAOBHQ2f\n4yNhzpeJXVG+HRk5NhzYmeSo29F66dKlWrJkia644go99dRTmjhxombMmKHvf//7+u53v5tSsYOd\nqRMCgUAgEAgE6toU3X///fre976nH/zgB5owYYKOP/749LeFCxfqP//zP3X66aenCBxpe/QKNZ12\nJIqy11Jtl1o+eMPzd2qDjWQL31kIz+3w9ttvp9/AeLWzRkyjqNcaKso55X/fkTmXAoFAILDro2ae\norfffluXXHKJLrvssuQ0/Y1vfCOFQa9YsUIHHXSQZs6cqVWrVmnDhg3q6+vTypUrNXv27Pa2PhAI\nBAKBQKAk1Iw+u/rqq3XppZdq//33T9+dd955uuqqq9TT06Nx48bp4osvVm9vr26//XYtXrxYHR0d\nuuiii3TOOecM/fA2RJ8FAoFAq2Bt8gz3YCT6s7WKfK3AnRHN1qsciZFRjqFkK2pnLZ/MkYBmdZaX\nrVm5CsdDrU1ROxGbokAgMBIRm6KdD7EpGozYFA2NpkPyA4FA4P2OkZTRul3Y2WVrtv07g9zNtHFn\n2Lg32/ftlC02RYFA4H0PAi/Is0ayVxKkku7Cy+h4UlRfrHeGF24+ueNIYhN25Y3orirbriBXFIQN\nBAKBQCAQUDBFgUAgBy8J4d97GR2YES9HUFRweCQwEXkZkYeyP8cdd5wkad68eZKkqVOnSsoSjJJ2\nZLfddpNUnOyVzyMpaSrwop34TY0aNapCnuHUV63yJPX+f1ArlQf9sSOOnYrmWT3PriWX99eOLBXS\nqFxFbQVDyeb6KmuMBlMUCAQCgUAgoJ2UKap2blm0Qy1KBFgrEmFHFE+sN/quSLZqqDfCot1FIfMF\nUIusASzUvKWa/7tbAFjdXgDWoyzyBVbLto6qWdf57ylyS2mc7u7u9D3txv+ExKFFBW65N5+Rn2uZ\nstH+np6eQXJQfHjKlCmSpGnTpkmS9tprL0mZrw1tQRZK0eBzQ8kfvt+8eXOSFxaGa7vYlXxxXq7I\nO2PGDEnSmWeeKSnzKaK9Dz74oCTpD3/4Q2q/lOkIPfMMZONZJFHdEYyLz3XGKv5SFJCePn26JKm3\nt1fSdhlIYkvpIApMkygWfTJ221nE2NemWuugrx/4ibmO0DmffV4i68aNGytKLJWFZmTjb144Gzlc\nPn7PWNywYYOkrNh5O9aRVnWGbMyj/PopZQzt6NGj03qBXOjN3xONIpiiQCAQCAQCAY1wpqhol5k/\nEy+ycLFk2E3yOy8m6mwD1kXRLtMtpGbgFitw1oEru2PYB7dswJYtWyp26L4T5//4jp5+chamUeRl\nwEJFJ1gByIGlipUOK0Fb2fFTOPbll1+WlBXzxeLBUnAZNm/eXPFdo3rzfkQWrG7aTDFkfFAOOuig\nQTLuueeeFXLBQiDXSy+9JCmz0rHasYAYez62m7H4XC504ozQBz7wAUnSfvvtJ0k69NBDJWVRWW5t\nM25gRv70pz8NkpFyO3/84x8rLDyKMqNv7tHsXKvFHo8aNSqxJGeffbakzJcIeYgyu+WWW1K7pWzM\n+Trh8jfKVJcJ5tvkyZMlSUcffbQk6YQTTpCkVK8SnUuZLl544QVJ2Zh88sknJWX9gW9VkQ9SGahV\n/sfXUeT1OcqVigyMdX6PDvv6+iRl68qrr76a9MycKwuNytbV1VUhF+8F5OIdyBXkmS8pW19g/bwg\ndyuot2ST+yYiG8wzOkI21hn+Pnbs2KQb3gevv/66pGxdZR1pFMEUBQKBQCAQCGiEMkW1PNBhIHp6\nerTHHnsM+o4dJ7tidtVYA+xQYUywsr1wKlYEO1QvNNuMFVt0rlrkj4JsfIaVoO2wWmDTpk2pPfyN\n39Ifnk8FudhVYzVgNdVr+Tm71dHRkdqA/8mHPvQhSdIRRxwhKbNcYVOwCuhjruz8X3nllUHXv/zl\nL5IyFsL9H/r7+5MekRs56z1vdv8ErlgsMCmHHXaYJOnII4+UpFQWB52NHz8+jVHGDlY28nOFTXnu\nueckbbdYpYydQHdFbEQjESw+1pwp2nfffSVJH/7whwd9z7yhX93PgbEMY8b9adu6devSPbDCi3zJ\nmoVb276O7LbbblqwYIEk6Ywzzhgkx3333SdJuuaaayRluijye/KrR+WViVoRO4xRWDDmGTLCFDHf\n6KetW7emcc04YK4yd5H7sccek5RZ6c5atxPu18caDyMGi8lcRBbWIfqH+QPrxXoC4zBx4sSk96I8\nVGXDGRTYoN7e3jQHjzrqKEkZK42emXOsbTCvLhfsn8vWrA9OPfD3A+9VGHbWy5kzZ0rKxht/5/fg\nrbfeqimX+2jW3daGfh0IBAKBQCCwi2JEMkW1zoqxcPbcc89kgbLrx2rAimK36L40MCHsIt1znWdi\nVTR7PplHrUglLBn3V2GXjKzuB5W3TpGHdmPJYTVgldNf7luC/P65Xtmw3nbbbbfkh4K1OXv2bEnS\nwQcfLCnLDQM8usrZO2eSnGlA1/noA9dbUS2rWnK55UZbYIqw4iZNmjTo/3Nuv3r16tQ+4P5r7huE\n3vmd575xP6kiViLPLPiZvs8tZ2u4Igf+CIwn9ymhf+gHngPbx//bsmVLhY8U10ZZvCK/BVDkr3HA\nAQfoi1/8oqQsIuvpp5+WJN16662SMtaOcVQUrVnE3tTysWhErlq/Ry7WCRiFU089VZISK8a6AgPJ\n2pcfn+iPtYm5y3qyevVqSdm4qBet+FQxB52BRk58pI499lhJ2Zzk9zwbGRhv++yzj6SMUWLdWbVq\nVfoN+odxL9tXDNmYj/Q/PnyzZs1KDB/feZSZRwbCJLlc+If5qQDjoEzZfJ3h3QYrPmvWLEmZLx9M\nEYwl/x/ZGKMbN25McvFuX7Vq1SC50BVy1cvyBVMUCAQCgUAgoGFminwHym6Z3SS7RSwbrljnkyZN\nqvDE555u/XgeFT8DxxJg18xnP0tmx1svgyJlu13a71ECsA4wJ+yAOSumHzyvizMM+WdhHblPjftC\ncA/XRb276iLmYcyYMcna4XwYiww9Y21yFowF534/6JYrbA/gmZ7jolo7G9GbVNkfzs5gSdMmGJE/\n//nPkrK8NmvXrk2WGqwM4xj9elRh0ZgtYohqZZGuJk9RriDayhXr89lnn5WU+XW5BceYRud85nn4\nb7z99ttJz436eVWTa6jvfYyiszlz5iSWgb696667JElPPPGEpEpGud6Mu852Ows4lNXdKEPEl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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -777,15 +744,6 @@ "plt.imshow(xs, interpolation='none', cmap='gray')\n", "plt.show()" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [] } ], "metadata": { @@ -805,7 +763,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.5.1" + "version": "3.6.0" }, "latex_envs": { "bibliofile": "biblio.bib", diff --git a/docs/source/notebooks/gaussian-mixture-model-advi.ipynb b/docs/source/notebooks/gaussian-mixture-model-advi.ipynb index 9a7dfc7eb1..c116b260f4 100644 --- a/docs/source/notebooks/gaussian-mixture-model-advi.ipynb +++ b/docs/source/notebooks/gaussian-mixture-model-advi.ipynb @@ -19,14 +19,19 @@ { "cell_type": "code", "execution_count": 1, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "env: THEANO_FLAGS=device=cpu,floatX=float32\n" + ] + }, { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 1, @@ -35,9 +40,9 @@ }, { "data": { - "image/png": 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WEJFvGGhEGsRWkG9aLneIj7DioXsnITrSqnaxKEg4bZ+IpNB2uUNpXCmWbV8G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\n", 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dE0pUyhmDmwncXKZhNL03gWzXeP/ZLxBTYjjY9bWhGZ0TSlTKGWdLTeDmMg0j\nFbMSIds1/ursfuw69anhG2JyBtTeGNxM4PYyDaMUcxPIdI0VVcH56HkE0rqORi3dsnuJSjljt9QE\nbi/TMEox3bxM17gv1os6f92QbBAwZlzMTZM4bsPMzSS8w+dWbDdP6xp/f+RsTB0+TfP1RmbNXClg\nP8zcTMI7fH6KqdXLdI3Fdi+z5jLE4GYyJ5dpmMGIm0D6NS6H4uZSc8oegckY3MiWjLwJMGvWz4pT\nq4zC4EZlg1lz4Zy8R6C9Qy+Rg5h54LAZnLADcjbM3IiK5OSuWzZOX17m3CtPZBNGnY1gN04vPmdw\nIyqCk7puhXabnb68zLbdUidOPVP5cULXLd5t/vbAIYS6uwrqNju5jMZ2wc2t4xfkTk7YGSTeba6t\nqSp4xtPJZTS2ixZuHb8wm9tm7uzK7l03o7rNTlxeZqvMjfueFY+Zr/ns3HVzQre5VGwV3Mr5D2EU\nJxddOpWdu25O6DaXiq1u5U6feraak2bu3MiOXTe7d5tLyVbBrZz/EEbgjr+kJbEVFMpruy1bdUsB\ne49f2F05d0Eos3i3ub4xgGMdHbbqNpeS7YKbnccv7I47/lI28W5zubBdcIvjDg76MPMlGlRUcNu+\nfTu2bduGNWvWGNUeKhIzX6JBuoPbM888g48++ghTpkwxsj1kEGa+VO50z5bOnDkTTz/9tIFNISIy\nTs7MbdOmTdiwYUPKY6tXr8aiRYuwc+fOkjWMiKgYgqpVN5CnnTt34s0338TatWtzvjYWk+H1Dj07\nkoioFEybLe3q0i4utZOmphqEQs4rdLV7uzNtX2X3dmfCdpsrV7ubmrTrN21bCkLOx0X8ZKWigts1\n11yDa665xqi2kMtwET9ZibdPKgku4ierMbhRSXARP1mNwY1KgttXkdUY3KgkuH0VWY3BjUomsY+Y\nUF77iJE9sBSESoaL+MlKDG6UN71nyXIRP1mBwY1yYjEuORE/mZSTk86S5XmtFMfMzcG8n/0VgXc2\nAQO9CPqr0L/kDsT+/lpD38MpZ8kyu6R0DG5O1NuL2l/9Av4d2yH09wEAKgEE/ve/IzpvPi787l+B\nKu0as0I55SxZLvWidLylOVDtr36Bii1ticAWJ/T3oWJLG2p/9QvD3ssJxbhc6kVaGNwcxvvpX+Hf\nsT3ra/w7tsP7+eBGosWOQTmhGJdLvUgLu6UOE3h305CMLZ3Q3wf/2xvR1hgyZAzK7idq8bxW0sLg\n5jBCd3f98zS4AAAIk0lEQVRerzt14hvsO9NgyBiU3YtxeV4raWG31GHUurq8XnfS12v4GFT8UF87\nBgsu9aJ0zNwcpv/HdyDwp3/P2jVVAgH89R/GaT5npxlOI9k9uyTzMXNzmNjsaxGdNz/rawbmzseZ\naeM1n3P7GJSds0syF4ObA1343b9i4LZWKIHU2jM1UImB21rR8y/rbT/DSVRq7JY6kFIZwJv/tAzh\nm+rwd/9nHxokwF87EiPufxzKxRUKdp/hJCo1BjcHSlTjTx6F7yaPQnV1BS6EezFj2FnEQxfHoKjc\nsVvqMIVW43MMisoVg5vDsBqfKD8Mbg7jhLWeRHbA4OYwTljraSbu30aZcELBgdJnQoMIlN1MKPdv\no1wY3BwofSZ0bEsLznf2W90sU3H/NsqFtzgHK9eZUO7fRvlgcCPH4Ywx5YPBjRyHM8aUD13BLRwO\n48EHH8S9996LpUuXYs+ePUa3iygjzhhTPnRNKLzxxhu49tprsXz5crS3t2PFihV47733jG4bUUZc\nO0u56Apuy5cvh9/vBwDIsoyKigpDG0WUC9fOUi6CqrXxfJJNmzZhw4YNKY+tXr0a06dPRygUws9/\n/nOsWrUKs2fPzvpGsZgMr1fM+hoyjyRLCEfDqPEzKJA75QxumRw8eBCPPfYYVq5ciRtvvDHn60Mh\n+89gNTXVOKKd6Qppt52KX8vhetuJW9vd1KQ9gaSrW3rkyBE88sgjeOmllzB58mQ9/wRZhMWvVC50\nBbc1a9YgGo3i2WefBQAEg0G8+uqrhjaMjJer+HX+5QvYRSXX0BXcGMicKV78WumtHPKcWw+OofLF\nIt4ywuJXKicMbmWExa9UThjcygwPL6ZywS2PygyLX6lcMLiVKZ/o4+QBuRq7pUTkSgxupAvPLiC7\nY7eUCmKn5VtE2fDTSAWJL99SVTVl+da2Y1utbhpRCgY3yhvPLiAnYXCjvPHsAnISBjfKG5dvkZMw\nuFHeuHyLnITBjQrC5VvkFCwFuUiSJXT2dUKSwQwkCy7fIqco++CWXLcFXwyQvKzbygOXb5Hdlf23\nN7luq8pXxbotIpco6+DGui0i9yrr4Ma6LSL3KuvgxrotIvcq6+DGui0i9yr72dJ4fVZ8lwtB8LJu\ni8gFXB/cJFnKWo+VXLcVqAP6u1nnRuQGrg1uhe475hN9aKysQaiHkwhEbuDaMTfuO0ZU3lwZ3Fi/\nRkSuDG6sXyMiVwY31q8RkSuDG+vXiMiVwQ3gvmNE5U5XKUhvby9WrFiBCxcuwOfz4fnnn8fIkSON\nbltRuO8YUXnTlbm99dZbmDp1Kv74xz+itbUV69evN7pdhvGJPjQEGhnYiMqMrsxt+fLlkOXB8ayO\njg7U1tYa2igiomIJqqqq2V6wadMmbNiwIeWx1atXY/r06fjpT3+KQ4cO4Y033sCUKVOyvlEsJsPr\nFbO+hojIKDmDWy5Hjx7FAw88gB07dmR9XShk/9qypqYaR7QzHdttLrbbXLna3dSkXdqla8zt9ddf\nx+bNmwEA1dXVEEVmZERkL7rG3H7yk5/giSeewDvvvANZlrF69Wqj20VEVBRdwW348OH4/e9/b3Rb\niIgM49oiXiIqbwxuRORKDG5E5EoMbkTkSgxuRORKDG5E5EoMbkTkSgxuRORKDG5E5EoMblQwSZbQ\n1d/JU8TI1lx7KDMZr9CDromsxE8k5Y0HXZOTMLhRXnjQNTkNgxvlhQddk9MwuFFeeNA1OQ2DG+WF\nB12T0zC4Ud540DU5CUtBKG886JqchMGNCuYTfWgQG61uBlFW7JYSkSsxuBGRKzG4EZErMbgRkSsx\nuBGRKzG4EZErMbgRkSsJqqqqVjeCiMhozNyIyJUY3IjIlRjciMiVGNyIyJUY3IjIlRjciMiVGNwu\nCofDePDBB3Hvvfdi6dKl2LNnj9VNKtj27duxYsUKq5uRlaIoeOqpp7B06VLcd999+O6776xuUkH2\n7duH++67z+pmFESSJDz++OO4++67sWTJEvz5z3+2ukl5kWUZTz75JJYtW4a77roLhw4dKujnuZ/b\nRW+88QauvfZaLF++HO3t7VixYgXee+89q5uVt2eeeQYfffQRpkyZYnVTstqxYwei0Sg2btyIvXv3\n4rnnnsOrr75qdbPysn79erS1taGystLqphSkra0N9fX1eOGFF3D+/HksXrwYc+fOtbpZOX3wwQcA\ngDfffBM7d+7E2rVrC/qsMLhdtHz5cvj9fgCDd4yKigqLW1SYmTNnYt68edi4caPVTclq165duOGG\nGwAAV111Ffbv329xi/I3ZswYvPLKK1i5cqXVTSnIwoULsWDBAgCAqqoQRTHHT9jDvHnzcNNNNwEA\nOjo6UFtbW9DPl2Vw27RpEzZs2JDy2OrVqzF9+nSEQiE8/vjjWLVqlUWtyy5T2xctWoSdO3da1Kr8\n9fT0IBgMJv5fFEXEYjF4vfb/KC5YsADHjx+3uhkFq66uBjB47R9++GE8+uijFrcof16vF0888QS2\nb9+Ol19+ubCfLVGbbO2OO+7AHXfcMeTxgwcP4rHHHsPKlSsxe/ZsC1qWW6a2O0UwGEQkEkn8v6Io\njghsTnfy5Ek89NBDuPvuu3H77bdb3ZyCPP/88/j1r3+NO++8E++//z6qqrSPmEzHCYWLjhw5gkce\neQRr1qzBjTfeaHVzXGvmzJn48MMPAQB79+7FxIkTLW6R+509exb3338/Hn/8cSxZssTq5uRt8+bN\neP311wEAlZWVEAQBHk/+IYu3zIvWrFmDaDSKZ599FsBghuGUgW4nmT9/Pj7++GMsW7YMqqpi9erV\nVjfJ9V577TVcuHAB69atw7p16wAMTo4EAgGLW5bdLbfcgieffBL33HMPYrEYVq1aVVCbuSsIEbkS\nu6VE5EoMbkTkSgxuRORKDG5E5EoMbkTkSgxuRORKDG5E5EoMbkTkSv8fo9ksEhMQmiYAAAAASUVO\nRK5CYII=\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -46,9 +51,8 @@ ], "source": [ "%matplotlib inline\n", - "\n", + "%env THEANO_FLAGS=device=cpu,floatX=float32\n", "import theano\n", - "theano.config.floatX = 'float64'\n", "\n", "import pymc3 as pm\n", "from pymc3 import Normal, Metropolis, sample, MvNormal, Dirichlet, \\\n", @@ -88,7 +92,7 @@ "cell_type": "code", "execution_count": 2, "metadata": { - "collapsed": false + "collapsed": true }, "outputs": [], "source": [ @@ -113,9 +117,12 @@ " return logp_\n", "\n", "with pm.Model() as model:\n", - " mus = [MvNormal('mu_%d' % i, mu=np.zeros(2), tau=0.1 * np.eye(2), shape=(2,))\n", + " mus = [MvNormal('mu_%d' % i, \n", + " mu=pm.floatX(np.zeros(2)), \n", + " tau=pm.floatX(0.1 * np.eye(2)), \n", + " shape=(2,))\n", " for i in range(2)]\n", - " pi = Dirichlet('pi', a=0.1 * np.ones(2), shape=(2,))\n", + " pi = Dirichlet('pi', a=pm.floatX(0.1 * np.ones(2)), shape=(2,))\n", " xs = DensityDist('x', logp_gmix(mus, pi, np.eye(2)), observed=data)" ] }, @@ -129,26 +136,24 @@ { "cell_type": "code", "execution_count": 3, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Optimization terminated successfully.\n", - " Current function value: 347.140024\n", + "Warning: Desired error not necessarily achieved due to precision loss.\n", + " Current function value: 347.140019\n", " Iterations: 2\n", - " Function evaluations: 3\n", - " Gradient evaluations: 3\n" + " Function evaluations: 63\n", + " Gradient evaluations: 52\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 1000/1000 [00:00<00:00, 1386.45it/s]\n" + "100%|██████████| 1500/1500 [00:02<00:00, 631.59it/s]\n" ] } ], @@ -169,9 +174,7 @@ { "cell_type": "code", "execution_count": 4, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -185,9 +188,9 @@ }, { "data": { - "image/png": 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dPxAtT88gjo6Owp5Qwxd/f5pfnvcfGqUo7WZqC626uppzzz2XZ555hnHjxgGw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\nERFLUKCJiIglKNBERMQSFGgiImIJ/x82DjsIJIjKNwAAAABJRU5ErkJggg==\n", 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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -246,37 +247,39 @@ }, { "cell_type": "code", - "execution_count": 6, - "metadata": { - "collapsed": false - }, + "execution_count": 8, + "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "Average ELBO = -324.52: 100%|██████████| 1000/1000 [00:00<00:00, 2288.80it/s]\n", - "Finished [100%]: Average ELBO = -324.36\n" + "Average Loss = 323.94: 100%|██████████| 4500/4500 [00:01<00:00, 3286.74it/s]\n", + "Finished [100%]: Average Loss = 323.94\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 4.1 s, sys: 430 ms, total: 4.53 s\n", - "Wall time: 10.4 s\n" + "CPU times: user 3.75 s, sys: 44.1 ms, total: 3.79 s\n", + "Wall time: 3.8 s\n" ] } ], "source": [ "with pm.Model() as model:\n", - " mus = [MvNormal('mu_%d' % i, mu=np.zeros(2), tau=0.1 * np.eye(2), shape=(2,))\n", + " mus = [MvNormal('mu_%d' % i, mu=pm.floatX(np.zeros(2)), tau=pm.floatX(0.1 * np.eye(2)), shape=(2,))\n", " for i in range(2)]\n", - " pi = Dirichlet('pi', a=0.1 * np.ones(2), shape=(2,))\n", + " pi = Dirichlet('pi', a=pm.floatX(0.1 * np.ones(2)), shape=(2,))\n", " xs = DensityDist('x', logp_gmix(mus, pi, np.eye(2)), observed=data)\n", - " \n", - "%time means, sds, elbos = pm.variational.advi( \\\n", - " model=model, n=1000, learning_rate=1e-1)" + "\n", + "with model:\n", + " %time approx = pm.fit(n=4500, obj_optimizer=pm.adagrad(learning_rate=1e-1))\n", + "gbij = approx.gbij\n", + "means = gbij.rmap(approx.mean.eval())\n", + "cov = approx.cov.eval()\n", + "sds = gbij.rmap(np.diag(cov)**.5)" ] }, { @@ -288,10 +291,8 @@ }, { "cell_type": "code", - "execution_count": 7, - "metadata": { - "collapsed": false - }, + "execution_count": 9, + "metadata": {}, "outputs": [ { "data": { @@ -299,15 +300,15 @@ "(-6, 6)" ] }, - "execution_count": 7, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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3+EPvoSmho1aF2NjcEByIFerMdKJse1/NHnTK7SjOK8SlF16JwlFjVNl2puHf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\nENHo7u7G8ePH8bvf/Q4bNmzA6dOn8eC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Q1QAEynF145UZ/TtUG27UtXrj7p21VMCNBTNnTkiPrpS/z1PJOugqKirg9/uj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\n75/gFtFkw6CjvGNJKSo0Bh3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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -363,26 +364,24 @@ }, { "cell_type": "code", - "execution_count": 8, - "metadata": { - "collapsed": false - }, + "execution_count": 10, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "[]" + "[]" ] }, - "execution_count": 8, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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ZEZALwlPK1MJ0TB2ZDq3Gtxr4zfSBmDQ8TfQz4T13LhBu0GL8MLePemp8Dwlc\nmReeEh8/JcQqFHpKsdicqG/pkMwUca4w/5JcyQAtLmIuOQB4k8cUmevvWVmy2V2iAbgePKtlUhZQ\ni83JxkEM4KTB8jU2XjrGv/FNDrmMDUrYx/Hz5o5Z3BWUYKPUmuoPT767gw3WGjEwEcsWjvX5TrA5\nnJg5Lku2jVjOdy4tbTbZiWswJ9pOGXe/YEICl+DxzreHec7pdocLDqeL56PW1GpV7JcTadSxvl3C\nwVKJyPEI3AgfZUbljiRWRY2LnL+THCoVP50SN72PJzBPKspWCp1Wg3g/9zkbuC24/g8fdocL67aU\nSwaT+cNFRZmYd0kunr97EoZky+fKjY82oEAmP24wyMuK4+UUDRSDToNnOrMYAJBMjaUEjVqFGUXi\n/ohyAtcfC6gcUtWT1AFW1rLYHHjuw+BbzZQwMT/Vd6NOYiIMvDzfUnh8sbncMC2HJ3D7yAgLT5S+\n1LX0/Mwey5zcc1fXabX3ZUzgEhURnOpYALxSTgWLOIkqeucq3GDe/P7uMatfmrx1NiZCj5EDk3DF\nxOwe61dKXPAErpgrW09AArcX8tFPR/HPNXtEneEBfvRlXXMHlqzYyCbS99BhUyZQwsO0vGwJ/hLW\nOdB3p9Rkso+k7oEGa4UbtLwXUVlnqqPoCD2bWk04uN4wfSDk0GvVilwUznblTb1OI+qioARhFHGg\neL4/0qhDdLi8pTA+KqxHS/MCbtGvk7EmZyRFYuUfp4h+lhDddZ/EROjZaHUgcDGYlhCOV5deiBtn\nDMKCywZ7fa401RCXhbO887rKES4xMdWJTI4WXT1MpCUfi9UZcJaS7lI4MEnxMq3RoPE5KRfDoNPg\n4jF9+RbcuHDJ5729w4712yvw2ufeWQ0AYEhnmj5Tuw0Op0tW4HpEsEGn8bpfpCZuUYJyq1MUumVF\nh+twz7XDeZOA7ADKSI8fmiIaC+BBBeXuIj1FVmoU0hLCcbugSJEvYiL0yE5zp57UatQYOTBRtF2k\nUYffzBgEAAG7xYkhDOjzZ+LjC42CVbdgQAK3l1HTZMZXW05i15F6fCXhP2u2dr34TtW1o63D7lUx\nSeheIIVGrUZORgyMhsDEkMGH9VUJwXwwuRgNWl4eTY9/KXdJOUKw7DZ+qLQvMQDotGpFYv4vC0bj\ngd+M5G0bldtVISYxJgxFg/lLcwPSo6HVqHHFxGzeC4ybv1QJnvZiLgpnEq4F2dd9EhOpR6RRh/uu\nK+ix/kTavsz8AAAgAElEQVQadZLV3wB3/lONWo2Fs/Kg06qRkRSJ9MQIPHDDCN59IhalniJTZESK\n7NRotj9iieyVCFzhCkTR4GS/JleJIlbMGaMyoBP5nWIVWNqCZVkOhKRYo2gVq9suH4KLR/PTvRl0\nGq9nXwme+5j7bEWG6yR9yA9VNOP97454pfDzkN1p+WPg9vf1TOblxLdBp/ESN1L+nVHh/HPkTtSk\niI824P9uGoUROYm8Ihc5gkBhJe4tg7PiRF2oPBgFRohAGdaNqP/F1+TjidvGYdzQVFw9uZ/i/ZZc\nP4I3ub37mnwvA8n103Lwwj2TWD9jqQmlvzxycxH+MHc4b5tcKs6nbh/n1/HJgkt0G7PFgc37q9HK\nybXIfal5CgcIfRil0olw4QaXXTc1x6eVVO7FL0eYruuBlQs0k2L+pblBe5guHp2JuVMGdPVNr+W5\nP3iCNNI4S4rCF0mkUSc7cEul4LlsXF8MyY5DWkI47ruuAH1TopArsKpwB6B+adG8rNp/umkU/jyv\nCK8suQBXTe6PCwr6YOUfp2D57ydgUr64b6oYKfHhbO7WYLw4APcLj4vRoMHcqQN8WsC4IkDODaUo\nN4m9//rK5HTmMjAjBn9ZMFq2jUHn7qcHq90JrYyFzyPqJuan4dWlF2LZwjH4661jkZcdzxMUYsdY\ndE0+BvflX+8sH2VOs1O7Phf7LeV8Nj0IBYxBp/GrzK1Y9b/fzBgoanUL1v3koY+P4CIlvttc4qIN\nmCh4VrJSozB+WKqXf6JepxG9J30FDI3rHOO4KZ6iw/WSv7lUBTG2f5x7pLHVylpwY2XcoAx6jdc9\nKOUHLhTeMRG+Be4N0wayx+P+RtmCZfjn756EYf3lhWV0uF52WT48TOv3RHyoiLuTv37w3PubWyhJ\nKr2X8Dl76KZCtjS3B5VK5dUPjVrFE8E6rQYXjujjV1/FEFtJlHKVSowJQ0p8OO4VCGI5NAHqAX8h\ngRvCrFp7ACu/OMALBmM47zS1yh2xKUyBJRY1L4RbkrQwN8mnf1qgAlev79pPzNLoa/l2yoh0Wf9c\nf0iKNWIQR2SEG8RfYtxBSBg4oVKp8JcFoyWDBvSdpROX3jCCt31w3zjcf8NIPHHbONYvSzhYcr/L\noNPwCmV4hDP3OmjUasRHh8Gg14iUi/Dm8glZWMKxgAYjqnb+Jbl49i5+FaGX/jAZl43Nwqzx2bL7\ncs9FShzdfU0+7uLUcBeWppQiMcboJc4mDOu6x4f1i8fyRRMwrF+XX68KKlHLJPvdnJee8L7lrgSI\nTXIykiK9rM+FufI13ftwxJSUL6wvokRcP/4oWDmQYt4luaI+6CqV+O8kNbnzh/mXur8zKTYMj8wv\nkm3rTwDolJHpiAjTYcKwVMwoyoBBr8G4oSlY1HlvhQnuP4NOw1uJSYwJw5LrC9hSsVJcOclt4eOm\nbMtMjkSMDxccD0Kh1DeVK3AtrMCVyyer12m8rkVmcqToUr9w4qTELYN77EvG9EVCtAEjByYiKzXa\na7L7h2uH47cXDZI8VkSYDrPGZ0tajiPCdH4L3GsuHMATd8P6xSPJzxWURVfnw6DXYFj/eN7qktT7\nKjqiK+3ilZP6Saa9FMZniL1Xb7p4kN+rckJ0Og2Mev61lLpnCjqr/AkrB3IRTkLOlAX33MpHRAQV\nT8qmkzVd7gUujupRq1WigV5KLLhcwnQaXDo2Cy7G7e8qlkhc7sUvB3dAiA7XIzM5kucukZEcwTs/\nLkuv7xSJChTuoIwYjBmSgne/PSzZxmjQ8M7DaNCKLo3zLbjewiIm0sArpsHFI4KGZscjJkLPRj9L\niUlN5zUcmBHjJaa5Ai1MxkVErVLBoO+quDV9VAaMBi2+5JQjfeqOcV5BBkqSjftCrVZBpVKx5wGA\nLcXqjw9jmF68bWJMGE9oSPnr5WTEoE9CBDaUuCtJMQzj9fLgWtHUahUiwnQw6rXISo1CVUM7LhvX\nF19tkU7WL/cMcCdKUu2E/UmLD4dWo5LM0cy16PsjHiPCtGx0//ABCV7puJQEvc0oysCUEX2w87B4\n2jix/nRX4M4an4UpI9IxKT8NapXK5/2ZmSxuAfdUduIyvzNPrkqlwo0zBuHGGXzRJRwHPNbhe+cW\nYOfhOlw9uR9iIg1oNUvnu71hWo6o/32fxAjFPovpiRG8gjGJ0WHQadWwO1xY9WUpa2mW8/PXa9Ve\n96BRr8WjN49Gc5sVf31rO7tdOGFUskTOvc5xUQY8c9cE6HQaqNUqPPjbQnz2ywlcUOC2QmrUatkg\nO2OYFjqtGtMKM/CRiG9/ZLgOBh/3VUZSJC/YLzU+HE5XlyVoRlGm37myczNj8dI9k7ye2WSJQC2d\nRo375hbgZG0bpheKB4UCQJTAYi52X2jUakwZkS5aICe/fwJa2qy8krrhBq1Xdg2DVu11bbnP05i8\nZIwYmIgjp1pwzYXuktHCyRWv3wonaMGGLLi9DK6gVavEBW6bgtK1XAydM/4rJ/WTTMkit3Qrh3DC\nyxUoUeF62aAtj3+XEgtudIQeF47og4Wz8vCneaNE2xgNWt7SSmZKFPQ6b+sn14IrFwAhBvfFwu23\nlBXi8VvGYPaEbNxxxVBEcgI+HE4XLp+QjcF9YzG1MN1nBCz3hZcQHYZLx/B9CsUiwgMRuHlZ/OU/\nz0x+6fUjEGnUYfaEbPYzf9IGpUss/XJr03O/T8jd1+SjcFBXEIeLYbyWsLnWE0/0ulqtwiPzi/CP\nuychLSFC3kVB5jPu9ZVqJ/TNjgrX4ek7J+CRm4tELdjxUYH5nv/h2gIMH5CAGaMyMF2iIpQnPZRH\niHhYdPUwXDc1BzdMHwiVSiXpuyh88S+5rkD0vLNTo3DTxYMwp/MlKoenBK5Wo1Z0bwqrH+ZkxOD2\nK4bglSUXYsW9F/jcn4vQguu5VsMHJGDBZYPZCa3cpC2M8wxyXQt0WjXPEj5uSIqkP6TQlUGtViGt\nczxyuhg2k42cwLXanF7XwtMHYTS/sJ2SAFnhPtz7Oi0hArdePoQX1GaU+M3G5CWz4lfKhSM63LcF\n99EFRazlODczFkaDlhdoHW7Q+lyBFH7utoJrvJ7ZkYMSRV0I1GoVcvvG4aKiTNl7VzjxkOqXlPvN\n7InZXm4lESKleHVajZdRhHvvJsUaMW5IKuZdnMtec51Wg0duFl81EY7lUgHuwYYEbi/Dy4Lr9PbD\nk8rNKAV36dXfB843QpHRNbC/uGQKEhX4A6YpyN+n1boDgCbmpyEnPQaXjeuLpNgwniAy6rVIT4zA\nhSP6YGh2HGaNz4JapYKeY73RalQ8UeVv9geepZZzraQsuH0SI3D1Bf0RHx3Gm0HbHS4YDVr88cZC\nzLtYukoTe3wd/xyEs3ex6xpIdP+S6/nL7B4LxOCsOLx4zyRcfUGXkPEnSEcYRPX7q4bhz/NHeVmU\nxK5HmF6DSKOOZwV2uRivtnGcZVAHx39VrVYperHLlXrmWXAVTgaTYo2s6BB7YQiP88RtYzH/0lzZ\nvKqAO9/lvXMLcONFg6BWqTBrvDu/JjeK+5oL++Ohmwpx08WDcN3UHADA4L6xGJWbjEvH9mXvDYNe\ng9tEoscdnHHndzMHY1j/BNY9h0t0hB7TCjOQnijvO60CMFYkWwu3z8Klbu5vPqxfPP500yiMG5Lq\nDrIK0+KqTneBIh+uIAB4Y4Ac4Qbpe5rbn1tnD8HYISmsO8hlY7MQE6lHVkoUFl6eh2fumiA6rokF\nwYWJ3JtGvQYzx2VBq1F5xTa0mu2iAtfDtZ1xCMP6xXsJLrmCKmLHUoJwqdzDnVcOY5/RDAnfeu7S\nvxRajRq3zhqC6aMycFdnJg9untYwg8bLon+VIFjMaNDgxk63ALl4FLVKhZsvHdy1uujZrtBYIDwX\nqQm71HtHp1ELX6miv69ep/Ya39MSIjC1MB15WXGSOXel0pkJg8zFior0BOSi0EtgGAY2hwtVnChk\nlUoFexASLksJHa4okhrU9Fq1ZLlNwOtZxPXTcnD4VDOyUqKQGBuGDrPvpaOZ47JwsqYNfRLDRWuL\nA4BWze/f3Ck5mDslB4+8vpWN3PaImJsv5afQCdNr2Ac2PiqsW0v3OglrgxI/Mq6Ys4tMXOTgLuNp\ntWpFE5JAslcJ7xXu7y4clP1xUTAatEiMCUN9iwWzJ2R7ZZCQ4qGbCpEYY4RapeIJDLGVDe7kSuq5\nccnkdrY5pAd1gwILrhBuoNCw/vG8RPdipCVEIC0hAr90umFIIfzdr5rcD/n9E3hBa1qNmvUTvHh0\nJvr3ifYKiuk6nreo4yaU9yxfip23ZwyRysIyMCMG44emYli/eC+LLADcfNlgxEeVoSAnAcP6J+C/\n67tckHiTNpF7+fIJ2RjSLx5ZKb4DE4UWXCnklvC59196YgTuuGIo+3d0hB7Lfz8BapWKfU7E3HKG\nZntbzNMSwr2S/Ld12DH/0sG4clI/aDUqZCRFYM3PxwG4fbuF14I7+bh0TF/kpMcgMzkSWq10HIAU\n/rqrKYnfkBKV0RF60YmTkMFZcRjMWV3iPsVGvZaXB/7qC/rjsrF98ekvJ9htYXoNphVmIC0xApky\nvqgehvaLR1FuErYfcpem1ygcTIWC1t/YFrFnTGwCJCWclRhLxL9Xg8Vz8vHPNe4CLWfKgksCt5dg\nd7iw/P1dOMYpRvDTrtPYebhO0f5XX9AfZVUmn6VYAWD80FQUH6zBfZyoSqlBLSpch5Z2O8+iI0d8\ndBieWzTR7RqgcvtBaiR8iT0YDVo2QEdK4EpF63L7JbVUFqbToKXz33J+SErgWmoZie1ScIMAlFhS\nuHB9u3QaZanKAklJIzyuXLCB3MvS4xPJ5aGbRuFgeRMKB8lb3MYPTcXWAzW459rhvGAO7sREaLEB\n+GmLpHwiGbEdO7HLpDMyKPDBFcKdLNx8yWB8sakMrWYbSo424PrpOZL7adTSx7//hhEi10gtW8BC\nrVbJfi42WeILXB17HK++aqTFHOD+3eRyr0aH6/Hbi7sstzfOGIgvN5fjd5cN5i37XzBcfNlYLL2a\nVD+UwJ08CMctqXPsai90B+B/Z15WHBJjjfj9VcPw5eYy1rI+a3wWft7Nn9SM7HxGPIJn1vhsDMqM\nhandhsF9Y71KtnKFkdz1ViK4/LXgxkcb3H7u9e2SxhApo0J0uL7bsQJGg4Y3FqtV7vPkXj+jQQu1\nWiU6wZCC6+6mtI/CZ9PflVGdVu3ls2cUuXeF3yMXlKiE9MQIREfocdXkfvj0lxNkwSXEaTRZEB2h\n93vmZjLbeOKW3e6jtKqH+CgDLhs7DLc/+5PPtrdenof5l+byrFJS/Y2NNOCWmXl49oOuTA9JsWGo\na3ZbZrNSvQNBuC92tVqFx343Go+s2sZro2TJ2MPcqQMwWsLixxW4Ug8598UkJspmFGXgu+2nFEVt\ncwd/rlZSYsGNjw7DuKEpOFHViqsn+/ZZ5MItlKD0BTQkOx5Gg7ZbVcnkBnapyP+lN4wQfZHERRnY\n8rZy3Hp5Hn570SAvgc7145suUv3LaNCif59olFe3ssuRQlxyAldmEsd9VgJ5ISfEhLG5je0Op2y2\nCLnjD/HjBa0UsWdfmAbLw5LrC/D11pM4UObO0uKx8EtOHP1cgJpRlInpozLYF/if549CfbOFl0M6\nEHyJUw/ce1oocMUs0HJw75lZ47PYZ75ocDJvBSMxxohphen4YedpdtvYPO+Ui9zJnnAMCEZAqQd/\n310qldvP3Wp34nilCa98ug8XiTyff5o3Cj/uPAWT2c4GRnp+I4NOE7DVMEyv5Rn4PRONML2GdedT\nUrVOCPc9FmhWAX/TbYkZSrQaNX43czD+s+6g12eLrh6GH3aeZidL/pCVGoXLxvZFbKSBNbh43sty\nq7bBhATueURpeROefX8XcjJi8Keb+IFQZosdxQdrkd8/AR1WB94Q3Kwb90pH7ypBr9MofghVKpVX\n0At3UAvjROwPSI9BXnY8Lh6diW+L3dbVIdnxSIkLh8XmkKzewiU9KRKD+8ay0cMGvQZ/uFZZTr6M\npAhcNla6hjd3KVoq1yr35Rsp8iK+floOJg5Lk1zC5SIlLpWKzttnD/XdSATuy1VGo/FQq1S4/4YR\nvKhqf5GLDtdp1ejfJxrHBRMzbTdftiqVStT6bNBp8OTt49DcakVuX28LlUqlwkM3FaLD6pS0LnOC\nr9EvLQonqlrZv+US0nOfF7nViDuuGIq1m8tl0wD5SoUmfI41ahUykiPZFFXBRuwac/2Ruc/PsH4J\nSI0Lxx9f2wwA7LKxVN5WOYu5FFzr1IA+MRjQp/slYpXm8OU+x4mxRlRyXMYSY/0TSdzrmBRr9DFZ\n7Lrfxw1N8SlYg5GyLZjH9vi5D+0Xj3/eO1nULS4nPQY56TH4YlMZK3A9Y/YTt43F/a9sCqi/arUK\no/OSsebnY3C6GEwuSGOP7RG4wmBWJXCfi0AnEP6OhWK/vUoFjBqUJCpwR+UmY1SuMncvD8tuGYOt\npTWYVpjhlSZQqStPsCCBex7x78/3AwCOnmoBw/CDYN7+5hC2lda6cxUyYNNLefjs1xPoDkqXraXg\n7jo0Ox47Ol0jCnLcApY7ABsNWr9yVALA3dcMx9HTzcjLioNKpZK0Etx3XQG27K/B8SoTGk0WLJwl\nXz7x8vFZeK8z3YrUMbkRzcLSlYB7xi9miRaD6y+WlRrFDtSB5hFWCtelodWPLBrdzWcot1wOAA/e\nWAhTuw0PvNr1cvK1T3dIjQ+XTequUasRaZT+fq7gElr15NxwuJMnRkbgjh2SElDBEy7Cl+nwAQlY\nPEd5knZ/Efq3CxGKw8RYI343czDabS5cOKIPXC5G0s8/WDmuu4s/S8WXjMnEttJa3D57CK8Eur/3\nNffc5QqdAPwVrQiZQDcP3RG43PSGwT424Du4dXphOn7dU4mocD3yOos2SKW2k1qJGZQRg8OnWti/\nw/RaPH3XBDAMwz7XcVFhaDC5XTnkqnxJwRWnZ8qCKy5wVUGtSpmRHCkZ9JeVGgWNWqXYiNJdSOCe\nR3BfTE4XP43RttJaAMpL6Iohlv/Rg1jt+EAZPiABmcmR0OnUbHUm7oMn5hPki/AwLYYP8G3tze+f\ngPz+CWAYBla70+fS4tTCdMRGGiQfWIBfClgs5Yo/cJeQfnfZYKz84gCG5yTI7BEcBmZ0WbHSEtwp\nt66bmoNvi0/iNhmrcHeXLn0N7Dqt2qvU8pmqYx4ILpnMF/Mulk5Yz/XhdJ6p0b+TnrTWAeLXKzs1\nCmWdpa3FJs5TCzMQFxeBpqZ22cC9M/xTSeLP5P/6aQNx3dScbhkMAPAUri8fSa7AVTKWBzKJ9AR6\n/WHucPxzzV7Wj3fskBRsPVDT9f09fL+Fh+nw1B3joQL/utx2+RC8u/4w61I1oygDM4oyRY9x2+yh\nWLPhGEZzrJfCiVhSbBiOnnaL4EBiL7i/ccAWXD/HQtFsOGppg1Cw6ZsShafvHC8a2NYTkMA9j+De\nzDa7K+g3ZbhBK5kiTCrwJaCZq1aNKwTLodxZuVJ/tu6gUqkUfY9GrfYZkc9NZ+X0IyvFfdcV4IWP\nSkQrjgFuq8ODvxWveBZsBqTH4LcXDYLF5sCQTqvHpWP7+rSkd9+C6//+Z6oKTiBwxRjXKjJxWCry\nZPxbuS9POUEXDITL+j1pEQfEX6p3XDkUq384ivEiqb2kuH5aDj784Sjiow1o7LScBeKicC7gEV7X\nXNAf32w7ycuYEAi+BAN3abi7ulrIoqvzsWlfFeunmZ0ajecWTYTLxaCsuhV9UyJ5Aren7zdA3Mo7\nflgqxg1NgandhsOnWlAwQNpwkBAT5tPda2J+Gjbvd5+X0hU6LtyJX6Bjmq/VESFik6pg3w++iI8O\nCzgvvr+QwD2P4A4MdocTwb584WHSAlcsl2DR4GRcqyABuxAxscxdvj1TN3+wiOIIXH+si/n9E/Di\nPZNRcrQeq9aWAgDqmuVry/ckUkn95QgkFy6XQKyx57LAHZgZy6b+4QaeyK0AAPyJTc8LXP7fgeeo\nVoaYn2BKXLjfbhEzijKQmRyJtIQILH15Y+c2cQvc2aBvSiRO1rThakGOVDkun5CNWeOzArLmci+j\nP6m3uvvMChmVmyQapKdWq0Tz8p5NVCoVYiINkkHF/jAkOx4LZ+VBo1axq17+wB3HArXgBmM1S6Wo\nUPv5CQncs4SLYeByeZcDFWK1ObHlQDUGZ8XxbmZPFGKjyYK3vzkUlD7JZR4QC1z57YyBkiVn5RA7\nZ27QSU+/cIPN8AEJSIkPR4fF7rPWvJBIo44XuZ6Z4r8l4GzSfRcF/ycz/vqdnUmmjkxHc5sVqXHh\nvOwSvkS5RuB+1JMIrZ49PaEM1vXSqNXss/K3W8eivsWCfIn0fmeDP/5mJMqqW0UDFOUI1FWBuyzu\n6xpyL3m3XSMIlon5aQHvy7PgBnhNAnm2hKNLINbn8wUSuGcBF8PgyXd2oLapA4/fMsYr0pDLJxuO\nY/12d3YBbvlGe6fAfeb9XahtCo7VT86PK5i148UELNeC628i8LONTqvBE7eOhdPFBPSbxEUZcOvl\neSivbsMEP5ZszwVC3UVhyXUFWLu53KtykRRajRpzp7iXar/ZdpLd7ktUcCd9wQz4EEOon/1d5vSX\nnvCZ7pMYgT6J/lvNepLwMF2PpFmT4qpJ/bD3eAPSEiLYkrVSDOWUTJ6Yf36NMaFKUHxwuzkW5qTH\nYFqhf0aZ8wkSuGeBHYfq2NRHn/x8DAsvl47k94hbgP+isDtcsNqdfolbbn5ZMaTyjgLi+fN8pSOS\nQsyCa+fkxTtTDu/BRK1WdcuaOWFYGiYMC2KHzhA9HWQWrH0CZVh/dwWsQOBbzeTbpiaEo19aNKob\nzZgTgNuPf/0SWHB73EXh/HuezwdiIg145q4JilwOoiP0ePL2cXA4XEiJ8126PNh4EvwrKZveWwiO\ni4L0s3XNBf3xyYbjsvvfMiuPfd8uviYfX287ibkB5Lw9VyGBe4Y5UWXCq5/uY//u8FHRg5vZwMER\ngTaHUzYVixgJ0T4Erp8WXH9ejFwLlthy2oUj+rB5cLklE4lzGyUDc9HgZBwsb8JdV3kr+HNd4HYH\nhrMY6MuCq1ap8Of5o+B0ugKeOCrul8CC29MuH+eby9H5hD/+tHLp73qaWeOzMCA9hrcK2dsJSh5c\nmWdr5jj3b/7s+7sk23C/duSgJLbCXahAAvcMw61fDfgOKIky6mAy2wEAbRY7u93mcMGpsLyth+Q4\nI1sMQQw5Py4xC26gvlxiLghpCRFYtnAMDDqNonrmxLmBErF5xYRs3HXlUNH7JRBxdS774HLhWXAV\ntFerVFD3sLgFvC24PS0/z+W0boQ0wwckYM+xBswIIPhUiEat9quMbW+A63cbaOCf3OqIWq1CXi83\nFpHAPcMIywXKlfYsqzax4hYA2jj/tjtcfqWkAuAz0lMuWXgw3QaknuWMJN+VvohzCyUDMwPpyVBI\nW3AZrgX3LHZEwJlOrBXsqH3izHDXVcNwotKEnIzuV3ojvOFO1P15QriruoFMHs+3GJfu0HvO9BzB\nS+DKWHCXvckvgcqt32x3uOBw+WfBlRO4f79jnOxLmCJvCTGEYjPJz3KjgSzNnT8Ct+vf59Lzc6Zz\nx55L504ox6DTYHBW3HkZE3E+wB3H/HkiuRNGJWPhTRcPglqlwg3T3L6110/LgV6rRmZyJBJj/S8x\nfD5BFtwzjFXgcxtoSiCb3em3BTclXvpmTo4LB+OfXiYIL4H6p3lFOHSyCRlJkfjrW9uRFBuG9CTp\niVVAFtzzZMm7L8ff8FyK+O/hLGQEQSgg0Im6e8LIcP4tz7TCDEzMT2OLyaTEh+MfiydBr1OH/OoK\nCdwzjM3BF7iBWlPsDpdsbXsxImSyJADy7hIeoiP0MPkZ3AYARblJ2HnYnQBfqi44cf4hFLgxEXqM\nyUsBAPxj8UTotPKDaCABSOfLoJzfPx5zLuwPnVaDnPRzZ5n3fK3+RRChBG+i7scjOaxfPHYfrffr\nu4RlhuVy3ocSveMszyGEFtxAqxa5XRT829dokA9gkaqnzU3t8sANI/DRT8dwQUEfv7577JAU2Bwu\nJMSEURBZCCEnNpWWQvaX82XJW6VSYdb47LPdDS/Opr49l4Q+QZxNuGMf44fCvfmywQj7/gjyA0xf\n2JsggdtD1DV34MMfjmJMXjJr0QIAq51vdXUxgNPlwi8lVUhLCEduX2VRjzaHfy4KU0emQ6NWo3BQ\nlyXVw5g8d9nCGaMysebnrrx5IwcmYvTgZAzK7KrMk54UiXvnFij+Xg8qlcpvUUyEPt3No0v4z9mw\n4C66ehiKD9ayRTAIorcTqA9uTIQet18xNPgdCkHIe7yHWPHJXuw8XIfXPtvP2y50K3AxDIoP1uLt\nbw7h6fd2wWxxl/csPlgre3y7H2nCrrmgP+ZdkgsAuPXyPK/Pb5np3mbQa3DfdV3iVaNWYdzQVHIp\nIM4655IP6/nO2bDgjspNxp1XDkNCDI0lBAEE7qJAKIcEbg9RUdumqF1tUwf+/fkBzn6tsNgcvGIQ\nYny5qVyxiwLXSham12KwoFY6N0qW++9AA+AIItgsvnY4slKjerzKV29Aia89QRA9C99FgegJeqXA\nbWm3nTOBFm0ddt7f1Y1mtJrtEq27cDEMSsubFH2H0E9S6MPI/ZMb9HOO/EQEgfTECKx4YBqunEwC\nt7sU5Sbz/tbreuVrgCDOKrwsCvSy7RF63ci25UA17vvnr3hjXenZ7ooo1Y1mdFgditr+tOu0onZC\nP0fug6WCoIwux4JLlh5CCcMHuIMdFs/JV9SeggzPLpdPyMLsCdkAgLgoA6YVdr9SFUEQfkIeCj1O\nrwsy87gDbNxbjYWzhpzl3nhT09jB+uEGC2EcD1fwCq253CongWZ4IHoXi+fko6XNpthX+77rCvDP\nNXswMT+th3tGiKHTanD1Bf1x5aR+cDEMJfIniLPMubKiHGr0OoF7rrPvRANaO/zPMyuH0ILLdVkQ\nZvUyaCYAACAASURBVGnSasmCS/iHRq32KxCxX1o0nls08bxJ9xWqqNUqqP0qEkoQRLCgaWXP06t/\nY7vj3Cvd5XAyOHbaFNRjCn1w5Sy4XB9csuASPQWJW4IgejUqinfpaXqdwOVW9DBbfAdzBZOzZRH1\nsuBy/vYSvyoSuARBEATRk3DfvPSm7Rl6ncAND+vyymgPsq+rL86WYBQay7h61+szzoekbwmCIAgi\n+KhI4fY4vU/gGrgC98xYcD0O5GfLkVxopdXIWHCNnPKqw/rF92zHCIIgCKKX40+pXkI5vS7IzHgW\nLLgM456tuc6Sy69GJshMaME16DW466phOFnTisvG9T0T3SMIgiCIXkV2ajT774uKMs9iT0KXXidw\nuRbc7vrgtlvsqGvuQFZKlGzQjIthoIbq3PTBFeYQAzB6cDJGD0722k4QBEEQRPcx6DV4btFEdFgd\nVIq8h+h1Lgph+q4gs/aO7llw//7uTix7czu2H6qTbecpeXu2St/6k0WBIAiCIIieJy7KQOK2B+lV\nApdhGJ6gM5m7l2/2dH07AGDVlwdk23mCy86WBVcoYnl5cEnfEgRBEAQRYvQaF4XXPtuHsqpWxEYZ\n2G1rN5cjKlyPi0fL+784XS6UljchOzVatMyozUc+XTbI7GxZcNXCv8mCSxAEQRBE6BJUC25jYyPu\nueceFBUVYdKkSVi+fDlcIpFVTqcTV1xxBVasWMHbvmnTJsyePRsjRozAggULUFFREZR+NbVasa20\nFrXNHThc0cz77IPvj/jc//Nfy/D8hyVY9mYxu82fjAgeXXvOuCiopLMoEARBEARBnO8EVeDef//9\naG9vx+rVq/Hiiy9i7dq1eP31173arVq1CkeO8IVlVVUVFi1ahDlz5mDNmjWIi4vDokWLgtIvp5/p\nCxiGwYaSSuzo9K39YlMZAKC+xdLVxo/jnW0XBWEgmUYtnUWBIAiCIAjifCdoLgo2mw2JiYlYvHgx\nMjPdS/6XXHIJduzYwWtXXl6Od955Bzk5ObztH330EfLz87FgwQIAwFNPPYWJEyeiuLgYo0eP7lbf\nVH7WWy851oA3vzoIAPj7neNF2/hTtMEjbM9W4QShwFVxpjVkwSUIgiAIItQImgVXr9fjmWeeYcXt\nkSNH8MMPP2Ds2LG8dn/5y19wzz33IDY2lre9pKSEJ2TDwsIwZMgQ7Nq1K1hdVMy+4w3sv6sbzKJt\nhMZYh1PaSuwRw8HywfVXlMoVelBRlBlBEARBECFGj2RRmDdvHmbPno3o6GjceOON7PY1a9bAZrNh\n7ty5XvvU1tYiOZmfezUxMRE1NTXd7o+/Rkqur6xGI76z0Ae3vUM6p67HghssH1yt1l+BK/ybsigQ\nBEEQBBG6+OWiYLVaJQVnUlISjEYjAODhhx+GyWTCsmXLcN999+HVV19FQ0MD/vGPf+Ctt94S3d9i\nsUCv1/O26fV62Gz+pfLSaLw1u1gxAy5aLX8frq/sPz/eI9pWKFYr6tpRcqwBE/JTEabn/6wqlQpa\nrdpnP5SiVathg3K/Yp1OwztH7r/VapXX+Z8PeK6z2PUmQg+63r0Lut69C7revYszdZ39ErglJSWY\nP3++aGqpFStWYPr06QCA3NxcAG4/2rlz56KyshLLly/HnDlzMGDAANFjGwwGLzFrs9kQHR0t2l6K\n6Gij1zarDy0YF8dPtKzVdhWDEKYA87QVVkF7/sPdAIBT9Wb84YaRvM+ioo2Ii4tAczcLS3hQCSqR\nTS/KxPptJyXbx8QYeecYGdGVKk2n1Xid//mE2PUmQhe63r0Lut69C7reRDDxS+COGTMGBw8eFP2s\nra0N69atw8yZM9ltnkCypqYmrFu3DkajEW+//TYAtzV4165d+Oabb/DFF18gJSUFdXX8imD19fXI\ny8vz64RMpg44Bf6wzc3ifrQempraeX93yLgbeNq2S5T5/a74JOZfMoi/T7MZ4VoVmnz0Q4q8rDiU\nljeJfhYfZYDNJi+c29ssvHO0c9q7XC6v8z8f0GjUiI42il5vIvSg6927oOvdu6Dr3bvwXO+eJmhZ\nFCwWC5YsWYL09HQUFBQAAPbt2weNRoPs7GysX7+e137p0qUoKCjAwoULAQAFBQXYuXMn+3lHRwcO\nHDiAxYsX+9UPp9MFh8DqarM7ZfcRtrfLPGCetna77zbs8exOOBwu2X3kSIo18gQu137OMN4Bb979\nYXh94gWdMd79PZ8Qu95E6ELXu3dB17t3QdebCCZBE7iJiYm4+OKLsWzZMvztb39De3s7Hn74Ycyb\nNw8RERGIiOAvgxsMBsTExCA1NRUAMGfOHLzxxhtYuXIlpk6dihUrVqBv374YM2ZMt/vmb2yX0ym/\nQ0ubFTsP18m24X1/N/Pg+nLd9fW58Hu5gXNnKzcvQRAEQRBETxFUT98nn3wSgwcPxi233ILFixdj\n6tSpWLp0qWhboR9veno6/vnPf2LNmjWYO3cuWltbvSqdBYo/VccA39kOnnhnB9759rAf3+/+vz+5\ncz30S4uCRlBrl//TMT7TRAjPX8s53tmqrkYQBEEQBNFTBM2CCwCRkZF44oknFLX1+OJymTx5Mr7+\n+utgdgmA/8LSV+UzbkUzRd/vKfTgZz8mD0/DvEty8b6PcsK+cjMIv1fLteCSwCUIgiAIIsToFTk5\n/F2FD7boC9RFIS7KAK1G7dV/rywWPl0U+H9rNWTBJQiCIAgidOkVAtdfYemQEX3+ujtwv9/ffngq\njgm/kxdkBkDtQ+HGRRl4f3N9cAM5H4IgCIIgiHOZoLoonKv47aIgE2RmVxDhKRSNrAXXz+BQNStw\nBR8I9ayEvr1sbF/ERhmQGh/O264jCy5BEARBECFMrxC4/hop5XxwO2zyKccA7+IQXQLXXwuuW4gK\nLb8K9S3mTs0RPy5H4JK+JQiCIAgi1CAXBRHkrJoWH0UVAMBs4bfxHM7ffqglXBS4MIyIT64PKMiM\nIAiCIIhQpncI3CC6KFisvi247YJKaIFmUfD44MJHkJmf+paCzAiCIAiCCGl6h8D103IqJ0Q7rAos\nuII2gWZR8AhcYXf8FbRSx+X2jSAIgiAIIlToFQI3mD64QvEqhkNQ6jdQC67HReHyCVm87UY933Va\n7beLAtcHlwQuQRAEQRChRa8QuMFME/bf9b4rmAmX/T16OVALblpCBJ69awLSkyIQadThummC4DGO\nvs1IioRKBdwyM0/yuFotR+CSBZcgCIIgiBCjV2RRCKYPblOr1ef+Qgsuw1pw/eoGa8EFgISYMCy7\nZQycLgZ1zR28dlz77RUTszGsfzzC9NKXVksuCgRBEARBhDC9Q+AGMYuCov0FArm7hR48qFQqaDUq\nr+1chcsAsuIW4LsokLwlCIIgCCLU6BUuCv66mSoJJJNDaMF1BpgHV8q3Vi0QuHqthv23Em9cbpow\ngiAIgiCIUCPkBS7DMH4Jy52H67r9nRZBMYhAsyhI5bf1FIAA3Oc3oygD0eE6JMcaMWJgos/jcgs9\nEARBEARBhBoh66LgYhgsf38X2jrsuGh0puL9/rfheLe/u7K+3asvgLwF97qpOVj941FFxxdacCPC\ndHj29xOhUvHdD6QgCy5BEARBEKFMyJryDpQ14uDJZpyqa8e32yrO6Hefqmvj/e0x3MoJ3EvH9lV8\nfC8fXAA6rVqRuHXvH7KXnSAIgiAIInQFrs3e5QfbKqgsJoe/ZW/FOC204LIuCv4dR6orXN9cChIj\nCIIgCILgE7ICl6sN/fHBbWq1+Gzja4m/1SxRqtdfH1yJ7WIWXIIgCIIgCMJN6ApcjpVTadovq82J\ndovvDAqRRp1fffEIbG4/Flw22K9jcOH54JIJlyAIgiAIgkcIC9yuf8uV3uXSYrYpamc0+Beb59G1\nTOc/jAYNxg9N9b2jhKGWLLgEQRAEQRDS9AqBq9RFgVHYLtxfgStIE6ZWiRRr8IMguAn3yLEIgiAI\ngiDOBUJW4HLNn0pdFJT6yPpvweULXJVK1S1hyXW/SIo1BnSMuVMGID7agAdvLAy8IwRBEARBEOcg\nIZsHl+emGmQ/1fAw/362j386hiMVzYiPDgPgdjHobraGy8b2xZ5jDbj18rzA9h+XhcvGZXWrDwRB\nEARBEOciIStwFdWsFaA02YK/FlwAKDnWwP5bWKjBw8iBidh1pJ79OzMpUvJ4c6fmYO7UHL/7QRAE\nQRAEEeqElMD9bttJFObEAwBUgSjcHnJRECLlfrvgssFIjiuH2eLAqNxkJAbofkAQBEEQBNGbCSmB\n++KHu/DIgiL0S40OyIKr1JWh2wJXQuFGhetx/bSB3To2QRAEQRBEbyfkgsxa2typvgI5MaWuuv5m\nURCiptQFBEEQBEEQPUbICVyPSPUniOtgeRNOVJnAKHZR0ChqN6BPtOh2nVbZ/gRBEARBEIT/hJSL\nAgDWz8AfI+kz7+8CACy6Ol9Re6UuCjqt+PzBoAu5eQVBEARBEMQ5Q8gpre5kBDtY3qSonVIXBb1O\n3FIrJXwJgiAIgiCI7hOySiuQPLOMQnncXQuuR/hGdObTnV6Yoeh4BEEQBEEQhG9C0EXB/b9A4riU\nWn/D9Mp8aCUFbuf2ZQvH4sipZowcmKjwmwmCIAiCIAhfhJzAZYPMAskTphClQWJ6HxbcuCgDxuSl\nBK1fBEEQBEEQRAi6KLCZEALRtwpNuFqNsoNLCWEp4UsQBEEQBEF0n5BVWj2ob6FRK/vZfFlwCYIg\nCIIgiOATcgKXYQCny4V2i73HvkMjVWtXgFYjJXBD7mcnCIIgCII4ZwhJH9y/v7sTxypNAeyszIYr\nVWpXaTsq9EAQBEEQBNFzhJwp0eFwBSZu/UCpBVeqmYF8cAmCIAiCIHqMkFNaSsvtdgelKcikcvHq\nyAeXIAiCIAiixwg5gevqhr5VuqvSIhJSzSiLAkEQBEEQRM8RckqrOxbcYBt/1RIKl7IoEARBEARB\n9BwhJ3Bd3VKpwVW4UpZesuASBEEQBEH0HCGntLqjb4NtwSUXBYIgCIIgiDNPyCmtbrkoBLEfgIwF\nl1wUCIIgCIIgeoyQE7jdCjILsglXyoIbpieBSxAEQRAE0VOEnMDtjkh1uYLYEUgHmRnIgksQBEEQ\nBNFjhKDADXzf7gWoeSNlwTWQBZcgCIIgCKLHCEGBG7hIdXbHv0EEKR9cclEgCIIgCILoOUJO4HbH\nCusKssBVq4A/zxuFvsmRvO1aTcj97ARBEARBEOcMIae0uuWi0AMW3AHpMXjwt4Ve2wmCIAiCIIie\nIagCt7GxEffccw+KioowadIkLF++HC5O5JbJZMLSpUsxcuRITJkyBe+88w5v/02bNmH27NkYMWIE\nFixYgIqKCr/70B0L7u6j9QHvK4ZHx+oo7y1BEARBEMQZI6jK6/7770d7eztWr16NF198EWvXrsXr\nr7/Ofr5kyRKcPn0aH3/8MR566CEsX74cGzduBABUVlZi0aJFmDNnDtasWYO4uDgsWrTI7z4Eu1hD\nd/BkUdCoyWJLEARBEARxptAG60A2mw2JiYlYvHgxMjMzAQCXXHIJduzYAQA4ePAgtmzZgm+++Qbp\n6ekYMGAAiouLsXPnTkycOBEfffQR8vPzsWDBAgDAU089hYkTJ6K4uBijR49W3I9guxl0B48Fl1wS\nCIIgCIIgzhxBE7h6vR7PPPMM+/eRI0fwww8/4IYbbgAAFBcXIzc3F+np6Wybhx9+mP33nj17eEI2\nLCwMQ4YMwa5du/wSuMEu1tAdSNgSBEEQBEGceXrEOXTevHmYPXs2oqOjceONNwIAKioqkJGRgTfe\neAPTp0/HzJkz8eGHH7L71NbWIjk5mXecxMRE1NTU+PXd55C+lcyDSxAEQRAEQfQcfllwrVarpOBM\nSkqC0WgE4LbMmkwmLFu2DEuWLMErr7wCs9mMTZs2wel04qWXXsKhQ4ewbNkyJCQkYMaMGbBYLNDr\n9bxj6vV62Gw2/87oDIhKrcKgMa1GLdpW6f6ENJrOVGsaSrnWK6Dr3bug6927oOvduzhT19kvgVtS\nUoL58+eLLr2vWLEC06dPBwDk5uYCcPvRzp079//bu/f4qKs7/+PvyYRMEAgJJsMlhgVly91cMLGi\noFhFoYKsWdpqJT+q1toNkS52q7DUUKziJVR9ELGI1aVqJUDqDVnb2r3Yh7DlEgggpjVhVxEBk5Y7\nSSbJfH9/0AwzJJNkwmSSOd/X8/FAZs75fmfO5CPO28P5nq+++OILOZ1Oeb1eLV++XC6XS2PHjlVF\nRYVef/113XDDDXK5XC3CrMfjUUJCQmgfqFfYVl0ElZTUp0PH9esX3+LYuNiYDp+P9iUk9O7uISCC\nqLe9UG97od4Ip5DSYE5OjioqKlrtO3XqlDZt2qTp06f72kaMGCHLsnT06FGlpKRo0KBBcrlcvv7h\nw4f7dlEYOHCgqqurA16zpqZGo0ePDmWIqqtrCOn4zjh69HSHjjtzut53bP5t4/W7bQf07alf6fD5\nCM7pjFFCQm+dOFGrpiZv+ycgqlFve6He9kK97aW53l0tbNOddXV1WrBggVJTU5Weni5J2rt3r2Jj\nYzVs2DBlZGToxRdf1KlTp9S379k7e1VVVfkuOktPT1dZWZnv9Wpra7Vv3z4VFBSENA7/fXe7SmNj\nx97D6z137ISvpGjCV1JCOh/ta2ry8vO0EeptL9TbXqg3wilsCyGSk5M1depULV26VB9//LG2b9+u\nxYsXa86cOerTp48mTpyo4cOH66GHHtL+/fu1adMmlZaW+i5Cy83NVVlZmVavXq3KykotXLhQQ4cO\nVU5OTkjjiNQ1Zq5eznaPYftbAACAyAvrSt/HHntMo0aN0l133aWCggJNmTJFDzzwwNk3ionRqlWr\n5PV6lZubq6KiIi1cuFDXXXedJCk1NVUrVqxQaWmpZs+erZMnT6q4uDjkMURqH9yFd2ZpZFqi7rt1\nbNBjHCRcAACAiAvrFVl9+/bVo48+GrTf7XZr5cqVQfsnTZqk995774LGEKltwoYO7KcHv50lSfr5\nWx+1egz5FgAAIPKM25ODGz0AAADYm4EBt7tHcA75FgAAIPKMC7jeHpRwmcEFAACIPAJuFzLuhwsA\nABAFjMtgbeXbmAjPqDKDCwAAEHkGBtzgCXfcpQN0c87QiI2FfAsAABB5xgXctm5k5pD0jetHKOtv\ndxTraszgAgAARJ5xAbertwkLJbNGekkEAAAADAy4bd3FOhwzqmOHD2jRFmzZA/kWAAAg8owLuOGY\nwW0rl949fXSLtlmThuv/3Tyy5euQcAEAACKOgNuKYMF0wsgU9e/ratEe18upazNSW7THGPfTBQAA\n6PmMi2Bt5dvm3NrevGqwiddQ52MdIZ8BAACAC2VcwO1JN3pghQIAAEDkmRdw27rKrIOCrp0NMbGy\niwIAAEDkGRdww7MGNwwDCePrAAAAoOMMDLjB+5pnZtuLwGFbg0vCBQAAiDgDA27w+NrRuBns4rBQ\n8yr5FgAAIPKMC7jhuMgsXMGUNbgAAACRZ1zAbTPfdjBvsgYXAAAgehkXcMMygxt0iUJoiZU1uAAA\nAJFnXMD902fHgvZ1eA0uM7gAAABRy7iA26YOJs5gM6+h5lXW4AIAAESevQJuhLFEAQAAIPJsFXA7\nGjdjgh0YYl4N+joAAADoMvYKuBe4CJcbPQAAAPR8tgq4HeVwSFePGxSW1wEAAEBkxXb3AHoih6S8\nm0cqZ8xAbd57WH/cd8SvJ4TXIeECAABEHDO4rXA4HOoV69T4Sy9WfJyz06/DGlwAAIDIs1XA7eiM\nqv9hjiDtHXzHUE8AAADABbJXwO3wceG5yAwAAACRZ6uA21GOC5u2BQAAQDeyV8DtYFYNtkQh1Cnc\nWCfhGAAAINLsFXA7KPgShY4H1rnTRimuV+cvUAMAAEDn2CrgdjieOoI8DsHk9CGdOxEAAAAXxFYB\nt6Np1X+3hQtZogAAAIDIs1nAbV2v2MAfAzkWAAAgetkq4AbbEGHIxX00ZlhSq8f5r7ttL/j++P9d\noVFDE1WQO/4CRgkAAIALwa16Jclx3rKEINsotLdj2PDBCfrRHVlhHhwAAABCYa8Z3A72sfUtAABA\n9LJVwA2WcB0KfmGZo8WRAAAA6MnsFXCDcDjOW3cb9E4PAAAA6OlsFXCbLxizLKuVvtYfBxxD2AUA\nAOjxbBVwg8/GOoJeZBbKLgoAAADofvYKuG1wBJnCZdYWAAAgutgq4DZnVcd5qfX8EBvDGgUAAICo\nZauA25aYYFO47bYCAACgJ7FVwA02Aevw/eOsGJYoAAAARC1bBdy2NsLt0NZghF0AAIAez2YBN7jA\nO5m1vosCAAAAer6wBty//vWvuv/++3XFFVfommuuUVFRkbxer6//k08+0Zw5c5SZmalp06bp3Xff\nDTh/8+bNmjFjhjIyMjR37lwdOHAgnMNrY4mCQ0EncLnnAwAAQFQJa8D94Q9/qNOnT2vdunV69tln\n9e677+rFF1+UJHk8Ht13330aN26c3n77bd1zzz168MEH9dFHH0mSDh06pPz8fOXm5qq0tFRJSUnK\nz88P5/DaFHwfXL9jiLgAAAA9Xmy4Xsjj8Sg5OVkFBQVKS0uTJN10003asWOHJKmqqkpffPGF7r//\nfvXu3VtpaWl67bXXtHXrVo0dO1br16/X+PHjNXfuXEnSsmXLdPXVV2vbtm3Kzs4OyxjbuM9D8Blc\nAAAARJWwzeDGxcXpySef9IXbTz75RP/xH/+hK6+8UpLUv39/ORwOrV+/XpZlaefOnfrf//1fjRkz\nRpJUXl4eEGTj4+M1ZswY7dy5M1xDbHNLBEewwzpyD18AAAD0GF1ykdmcOXM0Y8YMJSQk6I477pAk\nDRkyRD/4wQ/05JNPaty4cbrjjjt0zz33+ALwl19+KbfbHfA6ycnJOnLkSFcMMYBDbS1RINUCAABE\nk5CWKNTX1wcNnCkpKerdu7ckafHixTpx4oSWLl2qf/7nf9bzzz+vxsZG7d+/X7fffrtuu+02bd26\nVU8//bRycnKUnZ2turo6xcXFBbxmXFycPB5PJz9aSzExDsXGxrSYyHU4HIrx2/y2+bjmx82cfu3o\nXk5nTMDvMBv1thfqbS/U214iVeeQAm55ebny8vJa3OpWkoqLi/W1r31NkjRy5EhJZ9fRzp49W198\n8YU+/PBD7d27Vxs3bpQkjR49WpWVlVq9erWys7PlcrlahFmPx6OEhIROfbDWuFyxSkrqo169nAHt\nvXo5Fe/qFfA8KamPJKl373Pt8fG9fO3oGRISenf3EBBB1NteqLe9UG+EU0gBNycnRxUVFa32nTp1\nSps2bdL06dN9bSNGjJBlWTp69Kj27dvnC77NRo8e7VtjO3DgQFVXVwf019TUaPTo0aEMsU2e+kYd\nPXpaDQ1NAe2NjU3yeBoDnh89elqSVFfX4Guvq2/wtaN7OZ0xSkjorRMnatXU5G3/BEQ16m0v1Nte\nqLe9NNe7q4VtF4W6ujotWLBAqampSk9PlyTt3btXsbGxGjZsmNxut8rKygLO2b9/vy655BJJUnp6\nekB/bW2t9u3bp4KCgnANUZZlqbHRK6/XOq9dkgLbGhvP/iHzP9bynmtHz9DU5KUmNkK97YV62wv1\nRjiFbSFEcnKypk6dqqVLl+rjjz/W9u3btXjxYs2ZM0d9+vTRzJkz9dlnn2n58uU6cOCA3nzzTW3Y\nsEF5eXmSpNzcXJWVlWn16tWqrKzUwoULNXToUOXk5IRriEE5/P559pH/BWdq9TEAAAB6prCu9H3s\nscc0atQo3XXXXSooKNCUKVP0wAMPSJJSU1P18ssva9u2bZo1a5Z+8Ytf6LHHHtPEiRN9/StWrFBp\naalmz56tkydPqri4OJzDa3NHhOBBllQLAAAQTcK2REGS+vbtq0cffTRof0ZGhtauXRu0f9KkSXrv\nvffCOaRAwW7V6wh+9zIAAABEF1vuydHaLhCOIP2EXQAAgOhiq4DbVlgNtkSBNbgAAADRxVYBNxiH\nw3HehWWtJ1nuagYAANDz2SvgtpFPA2Zqu34kAAAA6CK2CrhtzsD6B9yYILO5JF8AAIAez1YBty0x\nfkE2NoYkCwAAEK1sFXCDXSR2frszpvVdFIi9AAAAPZ+tAm4zy7JatPnP4DqdQZYlkHABAAB6PFsG\n3PM5fP84yxnDjwUAACBa2SrJBd3H1uEI6Au+RIEpXAAAgJ7OVgG3Lf7hNXCJgqO1hwAAAOihbBVw\ng83AOqTzZnBt9WMBAAAwCknubzqyRAEAAAA9n70CbtA1uMGXKLAsAQAAILrYKuC2lVWDzeAGOwYA\nAAA9k60CbjAOOQJuyRvrDPZjIeECAAD0dPYKuG3kU/+bPwSswWXaFgAAIKrYKuA2r7M9P7Q6HJLX\n7+ZmziAzuERdAACAns9WAbctQWdwu2MwAAAA6DRbBdy2Vhs0eVsPuGr9ng8AAADooWwVcJv5z9Y2\n8/oHXCdJFgAAIFrZMuC2xj/gxvrdySzY3c8AAADQM9kq4La5RCHIGtzA8wm7AAAAPZ2tAm5bLJYo\nAAAAGMFmATd4cA28yMxviULr15sBAACgh7JZwA3O25Ftwki4AAAAPZ6tAm5b+ZRdFAAAAMxgr4Db\n4X1w/X4sDm76AAAAEE1sFXDb4j+DG5Bv/Q9iFwUAAIAej4D7N375VjEEWQAAgKhFwP0bbwdu1QsA\nAICez1YBt60bNfjvohATbBcFAAAA9Hj2Crht9DV5gwRclisAAABEFVsF3LYELFEg1AIAAEQtewXc\nNnKrN8gMLgAAAKKLrQJuc2y9ZeKwFn1/n9bf9zg+LvbcOf5Z12+dLgAAAHqm2PYPMc/wwQm6KSdN\nv9l6wNf29auG6Uxdo4YO7KeL4m35YwEAADCCvZKc33Ts4Iv7BHS5ejl159SRLU/p8kEBAAAgnGy1\nRKFTuOAMAAAgqtgq4BJVAQAAzGevgBsk4bYVfAnFAAAA0cVWAddfh4MrCRcAACCq2DbgAgAAM6GJ\nGQAAIABJREFUwEz2DbgdnJllAhcAACC62CrgOjqxI0JnzgEAAED3sVfADXhMcAUAADCRrQIuAAAA\nzGevgOs3advRlQfM8wIAAEQXewXcC2R19wAAAADQri4LuEuWLNGcOXMC2j7//HN95zvfUWZmpm65\n5RZ9+OGHAf2bN2/WjBkzlJGRoblz5+rAgQNhHVOn1t0yhQsAABBVuiTglpWVqaSkpMUOBPn5+XK7\n3SotLdXMmTM1b948HT58WJJ06NAh5efnKzc3V6WlpUpKSlJ+fn5XDK/TyLoAAAA9X9gDbkNDgwoL\nC5WZmRnQvmXLFh04cEBLly7VpZdeqnvvvVcZGRnasGGDJGndunUaP3685s6dq8suu0zLli3TwYMH\ntW3btnAPUVLH1+D6Y4kCAABAzxf2gLtq1SqNHDlSEydODGjfvXu3xo4dK5fL5WubMGGCdu3a5evP\nzs729cXHx2vMmDHauXNn2MbGlrYAAADmC2vAraqq0tq1a7Vo0aIWfdXV1XK73QFtF198sY4cOSJJ\n+vLLL1v0Jycn+/rD4UL3wSUfAwAA9HyxoRxcX18fNHCmpKSosLBQ8+fP14ABA1r019bWKi4uLqAt\nLi5OHo9HklRXV9dmfzjEOB2KjY3xPW7miDnXfj5nTEyHjkNkOZ0xAb/DbNTbXqi3vVBve4lUnUMK\nuOXl5crLy2v19rULFiyQ1+vV7NmzWz3X5XLp+PHjAW0ej0fx8fG+/vPDrMfjUUJCQihDbNNFF7mU\nlNRHktS3z7mlEr16OX3t5+vT51zo7t07Luhx6B4JCb27ewiIIOptL9TbXqg3wimkgJuTk6OKiopW\n+/Ly8rR3717fxWUNDQ3yer3KysrSpk2bNHDgQFVWVgacU1NTo5SUFEnSwIEDVV1d3aJ/9OjRoQyx\nTWfOeHT06GlJ0unT9b72xoYmX/v5Tp8+F7praz1Bj0NkOZ0xSkjorRMnatXU5O3u4aCLUW97od72\nQr3tpbneXS2kgNuWoqIi1defC41r1qzRnj17VFRUJLfbrfT0dK1evVoej8e3FGHHjh264oorJEnp\n6ekqKyvznV9bW6t9+/apoKAgXEOU5bXU2Hj2D4/Xe25PBMuSr/18Td5z7V6/89EzNDV5qYmNUG97\nod72Qr0RTmFbCOF2u5WWlub7lZiYKJfLpbS0NMXExCgnJ0eDBw/WQw89pMrKSr3wwgvas2eP/vEf\n/1GSlJubq7KyMq1evVqVlZVauHChhg4dqpycnHANkavEAAAAbCBiK7pjYmK0cuVKVVdXKzc3V++8\n846ee+45DRo0SJKUmpqqFStWqLS0VLNnz9bJkydVXFzcdQMi7AIAABgpbEsUzjdv3rwWbWlpaXrl\nlVeCnjNp0iS99957XTUkMi0AAIAN2HZPjs7sgwsAAICez1YBt7XtzQAAAGAWWwVcf2RdAAAAM9k2\n4HZUwFIGK/hxAAAA6BlsFXA7M2trkWoBAACiiq0C7gVjWQMAAECPZ6uA659PO3rBGUsUAAAAoout\nAm5n1iiwRAEAACC62Cvg+mG1AQAAgJlsFXA7E2q5IQQAAEB0sVXAJasCAACYz14BFwAAAMazVcAN\n3EWh24YBAACALmSrgAsAAADzGRVwr5twSZv9gXvfMoULAABgIqMCbi+nUR8HAAAAnWBUIuzo3cnO\nHtuFAwEAAEC3MSrgtodMCwAAYD6jAm4os7KEXQAAADMZFXDb1YlUy1IGAACA6GKrgBtw290OBlfL\n6pqxAAAAoGsYFXBDucisM8i6AAAAPZ9RAbc9ncm/LFEAAACILkYF3FCyqP9yhY6GWLIuAABAz2dU\nwO3qBMoSBQAAgJ7PrIDbDu7UCwAAYD6jAi6ZFQAAAEYF3PYErLvtxnEAAACg6xgVcNvdJoxUCwAA\nYDyzAm4oxxJ2AQAAjGRUwG0PmRYAAMB8ZgXckBIscRcAAMBEZgXc9pBpAQAAjGdUwG3vIrPO3L0M\nAAAA0cWsgNvFr29Z3MsMAACgpzMq4LbHf9aWCVwAAAAzmRVwuzi1trvPLgAAALqdWQE3FJ3IqixR\nAAAA6PmMCriOdlIrM7AAAADmMyvghpBf2wvDAAAAiE5GBdz2EGkBAADMF9vdA+gqae6+uiSljw7W\nnNZnR061PIC0CwAAYCRjZ3D//pL++u6MsRqS3Ke7hwIAAIAIMirg+l9E1toaW/bBBQAAMJ9ZATfo\nEwAAANiFUQHXX+v51tFOPwAAAKKdUQE3YJswEiwAAIAtGRVwWxOQeYM+AQAAgCm6LOAuWbJEc+bM\nCWjbtWuXvvWtbykzM1PTpk3T+vXrA/o3b96sGTNmKCMjQ3PnztWBAwc6/f6tXmTW6VcDAABAtOiS\ngFtWVqaSkpKAXQ1qamp077336qtf/areeustFRQU6Kc//an++7//W5L0xRdfKD8/X7m5uSotLVVS\nUpLy8/NDet+AXRTaSbOEXQAAADOFPeA2NDSosLBQmZmZAe3vv/++UlJS9IMf/EBDhw7V9OnTdeut\nt2rjxo2SpPXr12v8+PGaO3euLrvsMi1btkwHDx7Utm3bwjc4Ui0AAIDxwh5wV61apZEjR2rixIkB\n7ZMnT9ayZctaHH/y5ElJ0u7du5Wdne1rj4+P15gxY7Rz584Ov3fAPrethFn/ZQsswQUAADBTWANu\nVVWV1q5dq0WLFrXoGzJkiC6//HLf87/85S/atGmTLwh/+eWXcrvdAeckJyfryJEjnRpLa2twgx5L\n2gUAADBGbCgH19fXBw2cKSkpKiws1Pz58zVgwIB2X6egoEBut1vf/OY3JUl1dXWKi4sLOC4uLk4e\njyeUIfrEOB2KjY0JCK/O2LNtkuR0nsv2Dod87eeL9TsuJsYR9DhEVnP9/OsIc1Fve6He9kK97SVS\ndQ4p4JaXlysvL6/VGc8FCxbI6/Vq9uzZbb7GmTNn9P3vf1+fffaZXn/9dblcLkmSy+VqEWY9Ho8S\nEhI6PD7/ccW7eikpqY/iXOc+Yt++8UpK6iNJ6vfXWl97XFysr/18F/U5F7p7944Lehy6R0JC7+4e\nAiKIetsL9bYX6o1wCing5uTkqKKiotW+vLw87d2713dxWUNDg7xer7KysrRp0yYNGjRIp06d0j33\n3KPPP/9ca9asUVpamu/8gQMHqrq6OuA1a2pqNHr06FA/kySpvr5BR4+eVoOn0dd2+lS9jh49LUk6\ndarO1+7xNPraz3f6dL3vcW2tJ+hxiCynM0YJCb114kStmpq83T0cdDHqbS/U216ot70017urhRRw\n21JUVKT6+nNhcM2aNdqzZ4+KiorkdrtlWZbmzZungwcP6tVXX9WwYcMCzk9PT1dZWZnveW1trfbt\n26eCgoIOj8F/XtlrWWps9Mrr92fF6/WqsfFsQ1OT5Wu3LPnaz+f1WgGPgx2H7tHU5KUmNkK97YV6\n2wv1RjiFLeCef4FYYmKiXC6Xb5Z23bp12rp1q55//nn17dtXNTU1kqRevXqpf//+ys3N1UsvvaTV\nq1drypQpKi4u1tChQ5WTk9Op8YRykRkAAADMEbaA257f/va3sixL9913X0B7dna2fvnLXyo1NVUr\nVqzQo48+qpUrVyorK0vFxcWhvUk724SxES4AAID5uizgzps3L+D5iy++2O45kyZN0nvvvdfp9wxt\na7BOvw0AAAB6MGP35Gj1Rg+EWgAAAOMZFXDbC7COgMekXQAAABMZFXADhSfA+t/ooRc3eQAAAOjx\nInaRWSQ4WnnsaK3x/MdtyPpKilKT+6i+oUnXZ11yYQMEAABAlzMq4Pqn2XCtt411xugnd+dI1tlb\n9QIAAKBnMyvgtsN/3W0oUTXG4WCHMQAAgChh1KJSR8A+uK1toxC5sQAAAKB7GBVw/bWbZQm7AAAA\nRjIq4LaXWYP1k3UBAADMYVTAbW+XBPbBBQAAMJ9ZAdeP47zfAQAAYA9GBdyAWdl27tXLbXsBAADM\nZFTA9Ud+BQAAsCejAq6jvQncyA0FAAAA3cSogNseliUAAACYz9iA67vRQ5BQS9gFAAAwk1EBt9W7\nl1mRHwcAAAC6j1EB11/7N31gChcAAMBERgVcR2tPAi48I9QCAACYzqyA6x9mW5mhtSzWKwAAAJjO\nqIALAAAAGBZwO36nMlYrAAAAmMmogBu4RAEAAAB2ZFTAbQ27JQAAANiLUQE3YNlBKGsQyMAAAADG\nMCrg+iOzAgAA2JNhAZdFuAAAAHZnWMA9t88t+RYAAMCeDAu453DXMgAAAHsyNuACAADAngi4AAAA\nMIqxAbe9FQqW1XY/AAAAopNRAZfQCgAAAKMCrj9HiwcAAACwA6MCbnszuMzwAgAAmM+ogBuAbcIA\nAABsydyA28p0bbDMSxQGAAAwh7kBtxUsUQAAADCfuQH3b9O1zM4CAADYi2EBt+UULZO2AAAA9mJY\nwD2HmVsAAAB7MjbgNiPoAgAA2ItRAbfdfXAjMwwAAAB0I6MCbgCmbgEAAGzJ3IDbCjIvAACA+WwV\ncFmiAAAAYD7jAy537AUAALAXowJup2doScEAAADGMCrg+iOyAgAA2FOXBdwlS5Zozpw5rfadOnVK\nkyZN0ptvvhnQvnHjRt14443KzMzUvHnzdPTo0ZDe02pvnzAAAAAYr0sCbllZmUpKSuQI8lf/Tz75\npGpqagLadu/ercWLF6ugoEAlJSU6fvy4Fi5c2OkxtPreBGAAAADjxYb7BRsaGlRYWKjMzMxW+7dv\n364//vGPSk5ODmh/7bXXNG3aNM2cOVOS9NRTT2nKlCk6ePCgUlNTQx4Hs7kAAAD2FPYZ3FWrVmnk\nyJGaOHFii77m8FtYWKhevXoF9O3atUvZ2dm+54MGDdLgwYNVXl4e7iECAADAYGENuFVVVVq7dq0W\nLVrUav/zzz+vMWPGtBp+q6ur5Xa7A9qSk5N1+PDhTo3l3BIFLjcDAACwk5CWKNTX1+vIkSOt9qWk\npKiwsFDz58/XgAEDWvRXVlZq3bp1evvtt1s9v66uTnFxcQFtcXFx8ng8oQzRJybGodjYGMXEnAu4\nTmeMYmPPZvoY57n2GId87YgOTmdMwO8wG/W2F+ptL9TbXiJV55ACbnl5ufLy8lq9gGvBggXyer2a\nPXt2q+f++Mc/1v33399q+JUkl8vVIsx6PB7Fx8eHMkSfPn1cSkrqI5fr3Efs2y9eSUl9JEl/OdXg\na+8VF+trR3RJSOjd3UNABFFve6He9kK9EU4hBdycnBxVVFS02peXl6e9e/f6Li5raGiQ1+tVVlaW\nNm7cqJ07d+pPf/qTli1bJunsjO3DDz+sTZs26YUXXpDb7W6xs0JNTU2LZQsddeZ0vY4ePa36+kZf\n26mTdTp69LQk6cTJWl97g6fR147o4HTGKCGht06cqFVTk7e7h4MuRr3thXrbC/W2l+Z6d7Ww7aJQ\nVFSk+vp63/M1a9Zoz549Kioq0qBBg/S73/0u4Pg777xTeXl5mjFjhiQpIyNDO3bs0KxZsyRJhw4d\n0uHDh5Went7hMfhvnNDktdTY6JXXe66xscmrxsazf3j8/xB5LfnaEV2a/GoK81Fve6He9kK9EU5h\nC7jnz7QmJibK5XIpLS1Nkny/N3M6nbr44ot9591+++3Ky8tTenq6xo0bp8cee0xTpkzp1BZh/rgL\nLwAAgL2EfR/cjjp/HW9GRoaWLl2qZ599VsePH9c111yjRx555ILfh+1wAQAA7KXLAu68efPa7P/9\n73/fom3WrFm+JQoXiolbAAAAezJ+Tw6WKAAAANiLUQHXUsv1CP774JJ1AQAAzGdUwA3wtzQ7Y+Iw\nxcc55U7sra8MTWzrUAAAABig2y4y6xKtXFCW2Nel5flXq1dsjJwx5uZ5AAAAnGVWwA2it8sWHxMA\nAAAybYkCaw0AAABsz6yAG8Ket4l9Xb7Ho/4uqQsGAwAAgO5g7N/dO9qZzk3s69L3Zo5V9bFaXZs+\nJEKjAgAAQFczKuCGetOyK8cM7JJxAAAAoPuYtUTBDzd4AAAAsCdjAy4AAADsyaiAa4W6RgEAAADG\nMSrgAgAAAEYFXNbdAgAAwKiAyxIFAAAAGBVwAQAAALMCLlO4AAAAtmdWwPXDelw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GzGMiIpIS2QQyR1kTEZGUySeQOQ+ZiIgkTDaBzD5rIiKSMtkEMgdxERGRlMkmkF2clO1d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\nw+iBwfDzdrV5+Vt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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -390,7 +389,7 @@ } ], "source": [ - "plt.plot(elbos)" + "plt.plot(approx.hist)" ] }, { @@ -402,10 +401,8 @@ }, { "cell_type": "code", - "execution_count": 9, - "metadata": { - "collapsed": false - }, + "execution_count": 11, + "metadata": {}, "outputs": [ { "data": { @@ -413,15 +410,15 @@ "(-6, 6)" ] }, - "execution_count": 9, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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sTLIwskA1UaHWXpOu/TVgGqiB2WmSaktTPFRAdINf8dCEhqd7oCG9JpuAEnAK\nSIMRN/AcD0Yh0hOlKd5EWk9h5xySXop4PEbKSNOcbKa7q4cfHvw+3mYPPalRGCkQbo/Qt6GPUD6M\nVoJjc0exJiyid0QJhyJUS1XirTF8U1A9WUWEfWKdcSyjinvSw8262AkbOgV6Tcctu5gdJnEtTqIz\niTgpeOC2B7k5uZ3/8LH/dN6z8K0f/D1j6fPzS/bnBxY/58s951Kes0vhWpoL1oP6+FfLmllo3/rW\nt3Bdd/H3r33tawD81m/91qrb8jz/hkzIWedqH/+5AcU5kefh5//7mlb8Xet78PS+p9C7DYRg0RFA\n7zZ4Zt/Ti+mSsrUcifYUO1qWeujmZnOLfXl631OUo2V+/P3nmBWzaKcgkUgSqUZ59+49S9oD6NjQ\nxb994JOLv3/7h99E7zaInIlSEza5TBarv4ZdtDHDBpqnUe2ootc03GmXasWCnYKmeBN21aY0U0Lf\nrHNgfD9+2EckkIHaPT7GjIFv+BABq9VCz+mU9DLEBVbIggmkG1geKVJzGhErSnQmSpMfZc6bw4wZ\nODUXKsAgUNYAIWeKfmAB/IQPZSAFbrdDJSaIxqIY0wbdpS4+cPuDPDv8NNW+KgeLB5jtn8UZcdA9\nHWfGxp/yyZOjv3WA7k3dDPZtYs6bxav5lEQJf4NHNp8lXUszMNhPpjiFfcJGT+qk9Dj5SB6/3UPL\na7g5F3pBaAKB3PMUWwX79+/jXR/cc94zlJme5JkDz5BP5IlqEQYHNy3us+VquRWfuWwtt+TZWXw2\nzjnnUp6z1XC1zwVXG2smaN3d3Ut+j8flEk1/f/9aXUJxlXAhb8CrNZfepTh8XEqdrPH5UV4bf4VM\nPIPYKNA0WCjM4465bN94CwUvf8HsEwU3T7lSwqpZjGfGKReL+AkPX/PBM0CAFtIgrBFuDeNqLqJZ\n4NoubsbFH/TxLB/HdWAQzIiJ7/v4FR+/yYcpIAK0Q1OyCWfGwcu7sA1oQwpRN+CBkdXRW3W6ertZ\nGFrAz/pEtzdhVEzKXgmKoKNj2AZOxZbWWhGEL8ACtoE/7mNsFtQci3BnhENvH2LWm6PUX8TMmcxN\nzeIlPZwuG0bBv90HE6palUw+Q+5UjkgoQvuODgCKr56kGrMQVZ9CskD7xg42tg4yU57GMAx5nzSB\nWTXRB3RszYEWgZ/3qXkWrhXDjJpU7Mp5VbLrX8Ss3ip2U61RD487SbQkL+jdeKk11FQowJXlxtxx\nVLwjrtbVAcCzAAAgAElEQVQ/2nohyb968ut8+4ffXBI/diku2hdyw89MT/KX//Rn/K8f/yMnTh3H\njtSC4zS0lIadthkeGkJU/AvGsomKYP/IPuy0TUdfB7puYC1Y+OM+7mmX4v4ixaNFKqNlqpNVDNtA\nnzXwZ3yEK2AcmBLgAja48y5+LfgGryOXKQcAC3xbkO5I4WU8OAksACHAAC2r4ePjhGyOvnSEycw4\nfqvAOm3hnHYwF0yMpEEoGkILI0XSk9fEBtJAGERMIGyBU3OpTFdwUy6ldBEnarMgFijVStihGkbW\nwG/zIQFEQXd0tC4oV8poDkTSERzXxqIKWwShW0JonRqnjp8kc3qSZCZFf2EjpekizrhDqCdEKBRG\n8+VYRUFQm60x+/YMhRMFtsVuWrJakJluxPXVZmtUJ6pomobWrTM8NLQk3GI5LhaisZrnTLF+rFvq\nqwcffPCysoSAyhRytY9/NcUUV8tq70E9s8f3X3uCb+79Bn6fBy3aeWmMLqWo40qFPAH+7Kk/Zm/t\nBQrNBYqJAn5V4NoORsxEuALN1qiMlSlOl5j0xpiczTB5eozJ4Qmm7CleemEv4zNj7D38ImPFEYhC\nKV/EqThY01VoQ8ZPbZFi5Rs+nvAwTRMjYuALH2ogtgqIIpcEQ0iryQx+VpEWWLN8zSjpxDri1GYs\ntG06IutLMcoi98LyBpqrUStZeBEPYfmINiEdPxwN3/HxDA8v5EkxzCOFTQdmWdyLEwmBWTbRbI2Q\nYWJVa+S8LLVKDV/4CEvgW9Iy09M6GhohPUxrcytRL0p1pooTdxg7MSaTHY+DCAkc20FEBLWjFm7c\nY6Z5iqbWGJZRxROetF59me6LAdBbdPRuHW/EZ3vnrbxn610kE8lFy+xU5CR2q42bcvEWXGJ2nJAe\nIpFN8n/96y9ecLn8Uou8rlXx0GtlLlgvrqrUV++UG/1DvNrHv54Vf1dzD87OxXdo5G2KfUWmZjO0\nxdqIhCNL0hhd6oSUTCTZteV23r1tz+J5j+99jH3W6zgJh1q5Rs2t4bTYcjLXBLowiNhh+qMDDPtn\nmG6ZIuflGHaGmSlNo4U0Ru0RpmIZXByICcbeGkM3ddx5l/BNIapDVegHzdUWrSh9o4Ff8TGFgTat\n421w5VJffR8shBSzcPBaBqiAHtPltpcbghKEwiF0Ia0R0iCSAiahqRLDMiy4HbkM2QVMyiwdfsRH\nnzUQx33ZbhYppM1IS60LEEAPaGWNUM2EeQ3RIShXS3hZD9ElpACawAkgAcKV7ZuaifB99DkdO1Oj\nOF+kOl/BX/DxhS+tTge8goc762L1Wrhxh6pXQRQETouDyAJFoAOwwbAMwn6YdFszyXCCg28eYHhh\niEef+2fMTSalSomaKSsXGGmTRDnJ7h13cHvqDt53+70XfM4e3/sYb44foFqq4tsC26wxOTN5Xmq0\nd1rdvM61MhesF5craCrbvmLVrEcZlsvh7L28eokVLaUxNDXEri23nbcMermZ9gtuHlvIeKdYIo6X\n89HR0SI6elRDq0Kn6CIaiaClNMqU8Yo+5gYDN+0x9NIZYj1xpqemcMYdzBaTxHsSRL0opmGSj+bR\nmjVCkTDC8aVlIgQiLwiJEBu2tlOqlBC+wHZr0jICKTDjSNFwkFaXaWCmTMS8oHkuTTgRYcPGdkan\nR7BnbWwf8EEraYRMGfulRTRAQ9g+bAQOArcAFQFbkKKxXZ7H28jXqkhrTwetSYMTYKR1vDYfvyBk\nO+NIAa4CNwMFIA6UwY04WJMaxaki4ZsjGJ0GoiRgCClQGjJcQJPH+6aHHfKkcLcBGRCmLz/zuIbp\nmsSiMRKpJGbB5Mz8EHTq9LX3M3xsiJmD07TEWslmFmjpakUzNYZmT1P+SXkxqH2lytZ1B6hypcT+\n2X1Qgju23kmhefmM/j+t4qGqUsD5KEFTXBZXQ8Xfs/fyolqEmrBkQK7fqDu2FnsXKTNNWAtTo0bF\nLZPakKKcLeONu+iTOq19rWxItkNCQwMZAKx5gIlfcrHDNl67RyVUgR6BGBGEUmEi0QgJN4FX8wjp\nIVzbxXcEIiHAAKH7ONMuXsjFr3m4noPoFXIfykFaZs1ISylYZjSzJpGZKMaUQSwcxym6zDmzxNvj\nRCtRynaJSrmC7ujYno0pTFzfRdNAN3X8ki9FZBb8tA8bkCJTQV53A9JD0g2u64Jf86lQQdN0eA1E\n1IcU8l+JhhjmkK7/PnhTHiJcw+/zcdMOvu9jJkzchCstwPrSZg0piAlkv5qQQt4EvAJaXMNv9qXl\nGQJKAmH4hCIholqU4kKBmdlpattr5P0crS2tzEzM4toOreVWdrxnB6WW4oqlZs7+0jQ0dQYjbSBS\nYrFY65VyhlqpdNFaehpfiyhBU1yznO15Nji4iYOn90O3TkSPrjqN0YW+7d6/+0EOPfUWb+ffwvVd\njIhB0k/ScWsH6XQau8OBKY2oFkGYEDcSiPESWlLDzbiINoEf9tE0D8/08Dt8vFEPP+rhll38MQ9b\ns/EzPtyGtGoiwDBofRrTTdN4CQ/RIqRAuEArMIm0ViLyn3ZQwyibaBWIbo5SSVYQuiB7MktyWxJb\ns4kmooTyYexYDWfCQTd1NFuTbu++kCIVhtBNIdyqi9CEFM8JpJAsIMWzJeinGbxmgojIfTLmgpsa\nRYoTwc9uIIbc5/NBD+n4CR/Hc9CqLkbCkAIWR+4JakEbCWAE2IS0CkEugXaDbuloExqO5RBp8mnp\nbyU/nicVTTE4OMjw8BDNN7eQmZhgIbmAK1wqZpmm6Rj3fvD9iy77KwnT2V+aan6jYni9WOt6OUNN\nTk3y6PPPk8nPkNBT51lf16Kn8U8DJWiKa5azc/ElW1Pczh2cOXiGnYO76M8NXPIy6KV82+2LDDB+\nYozM2ASRWIT+ngG277oFLaKxf2QfUSJsaGmn8mqZSqxCuBLGsVycjIN2k4ZW1PBMD2EKaANv2EMb\n1LG7bNyiI4VjFDiCnNAN0Cwdv91DlEVjvyyFtJgC64hZpLB4gTt9k0biviSF0QK1jEUkHJGxgj/J\ngqlRjpTQerTFvS3/hA/9oCd1fN+HM8iK15aPKAgpHE5wo+oFs6eD60eRVmIFaU1tk/1gA1KYmpBW\n2Siy/4FnJEL22S25YAAxEE0yNIEIUhCbg+vOIkU8jdzLCyGtPV2+7qd8opujiCFBR6SD2ts1tkdv\nZdMeGV9mDdXQ4zqO5+K8bZNP5bHLNtiCY4ePQExfjEcreOcL09lfmiJ6hBq1xSz+sLpVgEtdIsxM\nT/J3L/8Nya0xrLBDzsuf9zxerZ7GVxrlFHIVcaNvBMPq7sG5G/B9xgC//pH/wIfv/uiiQ8el8Pje\nxzjlnOTFl5/n7VNvMXJ6iFRHGnvBZkOynUf2Pozb79K5tYu2jg2MDA8TbW7Cqlikk2naqx0MiI0c\nmTpMtCnKwkwWu70mcyCGPciDkTURFYHQgCnQ8hpig49TdiAGzclmHN1FFH1pnbgamtCkY4WGFDkf\nOaHbNBw0Esg9pxqwARzDpniwgF2o4Wkeru4iPIHv+jK11c0CUiCKQu5bhQXaSQ09qxOdbJL7VZ70\nTGQBKST1UNIs0Ie0ziaAMaS4VZCWVzdyvy2BFK4JpFUVBjqRQjWPbLcLaWUmkKJnBuM6jRS1MaSY\nGWeNOR1cuwVp5RWQ1q/jk0gkuGnTzbxnz13saN5BdiHHybHjDJ85zdCpISqVMuFbw8R6Y7htDuW5\nCll9gWqyStbPMjc5y82xW+nb0L+kHt6O3p0cHz6GntSJR+JMTk8g5gW3bL6FcDR8yc5Qqykm+vje\nxyh3lgiHTVxXmrjn1mlbT0/jqwHlFKK4IVmLvbyjI4d5LvMs+qCGpmmUCyWeePZxTrWc5OVDe0nv\nSJPS0kxNZHjpyIs4tziMzY2ipTXOHDrNFz/8JQ5PHIJdGm+8+CqJbXGquoUVsdAWk+O6UiRyQAfS\nUuvSELMCURbkarlGmql24IiQ3ogWDS9GDendOAbchJzsU8EgdgAHkIKTQ4pLFGl16YADYk5AN4ia\ngA3g5XwIa1KMUuCPenhJV14/R8MqcpCCsh0pMtHgvR1Bf+JIyzKDtL5maIQV5IP+LwRjGwfeFbw3\nj7QyDeANpFDVvS3zSMtsIGjTA44jBa85aKsGWlrDiBiEmyMcnT/C0KnT9Oh9mLpJViwwWcnI2DYH\nalkb3/ARCwJ/s0d5qgzT4Gkec4VZTtjHeMRcaqkPnxjio9s+xtHJw+SdPN3xbohpaJ5GKnfpzlCr\nWSK8FOtLVQpYHiVoimuG9fLqOnBsH9ptctJwiy7lhTLiNsHY7CjRzijDp8/QO9XHj155lkpbVe5t\nmRrkYGvrTfzw1Sc5uXCK2dAMh95+C+9mD8dyoFUj5IawhY2wRcNJInB4cD1nMaZMdAXB0mEaYqIh\nraJWGkt8w8jJ3ERaZkbwXgkpCCNIa80IzteD/3cBb7LomYgAHJnSSrSB3+VTy9ZkHwtAL1Lo2oFj\nwTn1pcUzSC/GYnAtB+nF+FbQh43B66Gg//WMeF1IQQwF76eDNtLB2AalQ43ICylo24L3beTv0eDc\n3uAeziPL3bge8xNzuDMuIiSYsCaIRWNUihXCt4XlHqEp49mcso4mNAiDM+tQiVUwhEF8Y5xnDj3F\nz9/9CyQ1+S2hLjpHJg4vis7Zz6BMtnVh6sd//60n0fpgU9dmEvHkYvvLLRGmzDQlUVzy2rlLm1eL\np/HVhhI0xTXBenp1xVpiaGUZIFybsaBXQE1g+RaZuQzVUIVjrxyjMliGNLi+iz6ik/OznJo6yZns\naXq39DGmj1IbsHGyNqIJ9JCGZmhy8tZAS2rSSqsLw2mkYIRo7BfFkEJVt0SgYfnUJ3SQIlCfTzXk\n0p2FFLsY0trzaIiOF1zzBHIZMMPi3htJENlAcHVkDsd6u3pw/EjQZi64bt3r0KCRPcQL+l4Xvw1I\ni2s46Lsb9KcY9DESvJZAzkQzIJqDfsyz6LKPCNpqkedqBQ3d0vF6PDgO3s2erO22Abn/5/sU7SJE\noRoErRMCNoI/EeShjMi+eTEPkRAUMkWioQjD08PsSjRyeZ4tOqt9Bpccn4R8JM+B0f3cMXAniXhy\nxf23+3c/yN+9/DeIrXLJbSXr62rwNL7aUKmvFNcEq60mvRq6Yj10NHcRrUQRDhg1A9/zsQ2bcrjE\n3NwspYSsa+b5HpqroQ1oeAWP3HSW8GCYbCkrRckTiLiAGZkdw/d8mJfBzqZuogsdLaHJSTuEdJg4\ngbR66vtk48HPMeRk342clD3kpG7QEDmCnxmkmNksLsdhIZcgtyFFqZOGk0YkuN4Ast9m0G4EKSSR\n4Pxo0H4E6YxSCI4vB225SHFykO71VnAMyGXGupgKpLXWTiPfpBacPx70rYq0UOvHW0jx6wqOdeR9\n0To0vJInj20LjikHbRuBc4wG9Mi+aCGtETfnBvdwq7w3rufiOR5en4tdtTkxcZw3Tr7G26ffpFQu\nLhGd1T6DZx8/OLgJkfHRkjJOcqXUWSCF6rP3fp7B4iCp2RT9uYEb3h3/UlEWmuKaYD29uj770Of5\n0hNfpP3mDkROMCtmcCsusZY4FaOMa7p4RU9mRqlpaG06uqEhEPhlQUtLCzknR1usjfnQHFpcQzgC\nToLQZbYMP+zjH/OlQNQn+R7kJN2OnOy94L1NyCU2F7lvFEZO2juD15JIMTyOtNR8pPDV015tQIrW\nbhp/4eWg3XmkCHQG/w8jBSMTtFF/XyC/7i7Q+Npb96wcQIpWH9ISc5FWWH2vLYkUx/pYy0jnkTSN\nuLmjwbH15dA4MgyhbommgUPBtXNBOyZgaIT0EDWvJo8tBmOIIIXcCdq0kKLGWcmUa8G/SnCMCbSA\nyAsiTRFo1SiO5rE2W9S0GvtH9rHLuI1f+dlfA1b/DJ59fLI1xW7u5NiRo4xPjhIdj7B747uWPQ+g\np6uHX7vl18hmyyrb/ipQgqa4JrjUbOcXY7l9uN077+T3+AP+7um/IVKLMHt6huQdKWy9htDAmDNw\nu1xcx8VMhRBZH98UhMZCdCW6CUXDRLUm8oU8ekpHN3W8uCctgQXkhF5BioiFnKg3IL3+bBpB0geQ\nlkMGeW59Ke5g8P4wDQ/CbPB/aOxrNSPFLYqc4Ou5F+vzYQg56ddvmYsUpnp6qk6kqLwdtO0F16rH\nveWQHo+J4Ly3aMShFWhYjgvBcTqN7P4achnVpGHVRZDiWU/lFXguMoNcfq1bcSLoexFICmp2Td6z\nuWCsdvBelsayaRPSEqwEx5lIi7c9uPfR4L5kgsBwr4IxadDc1ExkOILl1igvlBhLjvHcwWe4f/eD\n+GXBW6MHqWEvuvpfKEv/cs9sNVyl985+btp6MyWxckD3hVAZQlZGue1fRSi3/ZXvwVrkjzzbdXq+\nNsfrQ6/yv19+jPmpOd596x7+zwf/Hb/4gV/itf2vMl2cwq/6mAWDcCSMk3cQKUFICyF0gT5i0B3r\nIWY0cfStIywwT7awgB/28SY9OYm7NFzZ24LfU8jJezD4qSPFIokUigpy8q1n1igjLbnW4Nw5GtZO\nfZmvFrQTR4pGiUbcV5TGXpmFtNyiSPGJ0xCAM8F5nUF7KZYKSn2/rL6v5SM9LYM0VZjBmJppxJKN\nBecmkSLXGbzXghTK1uCYEDKDiB38fza4fnvQRwcpgEZw7ZPBvamLfnswvlkagllDhg2M09ifrCAD\n1+tjSAZtFOTxokVASMPEhCjEd8bREhqJngQ/ee1HZLKTZGIZxAYfK26RGZkklU/z737mk8s+g2c/\ns6VskRd+/DxzkTlSkRTpWPq8fKNns9LfwWrc/69lVHLi6wAlaCvfg7VI+vr43sfIhCZ5e99BXjv2\nKnmRw+g2mLTHeeaVpzg1fII3jx5kLDPCWHEUPaIT7YjilF38mE9oJoRRMUhUkrS0NGNP28wmZvG7\nfNyai+/4iNl6tg1NTvp1D8SNyITD6NJ9Poz8twU5WVeRE3E/cvKt73f10VhKjCPFKMNSqySEFD0L\nuRxYF8QKjWTGLUgBTQQ/63t4gTMGLcHxZaQQ1if7SDCGM8H7rTSsTTfo4ziwmcU9LqLBudBwTqk7\njRjBuOtiXKYh9PGgf5004t2qNKoLZJBWVwjYgxSyNHKZtB0p5jOyD/qEIXNB9iKXavtpeHgSjKu+\n5zcPDIJRMQh1hqlOyErgNbeGW3Lpbu1mpDyMZVvcunUHVq6KNW9RnC9CWWDq5nlJiqHxzA69eYZX\nj79CUS/SurkVYpCZmVxMok0J3r1tz5JzV/o7eHzvY5Q6Skv28VYSxWsZFYemuKq5nGWS5c55J15d\n4/OjvJk9QMaYpNhbxMdj7sQc0VCUzbdv4Y3Tr1NtqlLrrxHLxaiEKhSPF7CmLfwuQaQpTKIpScSM\nMDsxQ61Qg15ZZFNP6GghTRbanPXRTGQQ9QxyctZoeA3WvRLrLuk+cpKvL00aNJbd6sIHcvJ1kJZQ\nvc3DSJGpt92JtJrGkCJxHLn8NoP8a29CCkXdizJMI9WUQ8NTMkkjkLstaGcQKWAhGimsikgxqbdV\noSFs00ixiiNFdHMwtiYaeRktpNhngnPq1xXBz3gwlhaksOWQol2/j34w3mEWa62FmkM4NUee0yX7\noEd1/KTfiI1rlc4iIiK9KsOxMCIkQBeUvTKRdJRIyCXaFuHA6H50VyNMlEQ8ycaWQbIL+0ntTGFX\n7cWad8stHXZ39pBKp9lz390cOvAWeVPut+kpnaGpIXZu3rWqZXOVIeTCKC9HxbpSL4z5hUd+ne+f\n+R6TxsR5RS/PZSIzwdf/55+u6pxLYTwzjt3skLNyeGEXEQart0oxX8CxbDLzGfQenVhHjI3pQeJW\nDHuDjWgRGDfpOB0Oc7k5ptwMtQ01/C0+fquPE3Xwah6e5+EbPuRBDAkpSPWyK3PAFPhHfTkJV5Fi\nUF/Kq8eWWUiLZwEpEEmkYNWCNpI0/mpNpBiUkNaPGfwMMuojkKK2GenpeCuNMIH6PluQemoxJVU9\nI/7ZxTzLwe9178VgLAwh96Pc4H2PRgaTDqS41pdem2ns6VnBteaD4+sWaH1p0w6OqSAtsFYaFmjd\nmSMIhcCkEdcWGDJOzWl4SQYWpl8NHHJmG20IQ5bRYRbsl23cUVlgtZa38aoerU1toGnMujOcnjjN\n3OwMpXKR4eEhtG49SIcVvai3Y12E6p6O9QKglle9aGHRc1EFRC+MstAU60Z9vf+ocxhvu0tBFGTJ\n+y13kuhNLpslYXJqkm+/8Q322wcves7BQ/v52x/+NVk/S4vewmcf+jy7d9655PqLQbAVQWZhgpHq\nEI7voNs6etgAoWGkTLLZLKYRamTvT0ZJlFOUkmXK02W5lGiAv8XDP+TJrBkZ5MToCUSTkBN+K3Jy\nLiNFKQu8gBSJTuTSVwE5Gbch93k6aSzFTQfndwfH1T0R48Hvc0jxywSDrFtENRrLjCJ4Lcf5rvz1\n/aUKUtzqltYQUijr+19pGp6KU0hBrAvrLFII6ntxzUgLqS04r+6KnwjaKyIFvAdpUbYFbeyk4RCj\n0xDR9uD9wLrCCvrUh3SQKdIQ7LpHYx65vNhMI0t/icZSpwj6toDcr5sOzq0hLbktsrYdVTDO6ITH\nw0z6EzhZWyZ+ntARPbLauGEZaJqGX/DZNLAJWNlKykxPcuTYYaZGMkT1KFs3bGP8zBiZuQwxv4mW\n97Scd86FUBlCLoyy0BTrRj0Op15LbLHk/fDwihPAcwefJtQXwha1C55z8NB+vvTEFznRepxT7gle\ntvfyuYd/lWd+8kOgIabjzWNkYpP8S/l7jGqjhCJhQhvCOFkHzdKI6hFMzcTJuHS3di1++43oUWqi\niq95hJNhoh1ROSkGtciMkCEn3hkaGeU15F7TQvA6yAwaCeAOGtZLisbeUDtS1E4iRaJIIx4shrzm\nKHKJ8FRwLRc5ufcglwGrSIECKYCjBDFxwflTNBxD8sG/WHDcURru8luRopVHCk8WmdIqjRTUTPDe\ne5EWWDn4PRv04XTQ5jGk1dQVjLcLKWL1uLpgn4sRpFAVg/7maYQBOMH/61n+64Hc9crc1eC6peB6\n6WCME8F7A8F74zSWe+tfJHZrGLcYDWHcKK9pCAMjaqBv1xEln/J4mVqzjZ4ySN+aJpyM0DQbpTJa\nJVlNLQZIw/JWUv0ZbL6jGStuke/Ic3jkbfLkaN7ezN0feR/FgeKqVh7qGUIG8gMqRm0ZlIWmWDfq\nSy31LOXQKL2x0jJJ3skvLuVYFzjnb3/413hdHjNT07Jqsqbhd/v8v9//Cju271oS1Hp0+Ahz1Vns\nNpvy2yXidyWIdcdwZ1wihQi6q7O5fRN9fQPs3f8CbovHlrYw1VIVSpDoimNhYTaFsE0b4fj4WlC/\nS7jSOrGRwpFAioOJjPuaRoqEG7zmIC2JceSEvgE5yaaQVtQRGs4a7TRiuOr1x0aAO4PrmTQqNmeQ\nS4p1D0cL2a/NNCy6uaB/N9HYvxpBTvQeUpBAWkfQCPD2kVbMbNAewfk3IwVUBH2oZ8VPBD/r2Unq\nbv/1JcIUUpjMs8Y3H9ybOHK/rhpcNyiNQxUpwm5wTpbGXlwiGLsfvDcXjC0RHJcNXu8EI2mgmzok\nwe8RiKKPHtLRfI2maBMAdsWmptcI3xwCQyPuxWhvaZfhGTMxPtR7F07UxYyZlMpFzmROUxmvnlco\ntP4MkoVoLsrUaIbcVJbUYDN3b3zfohiulNNxIjPBoz/+32RruSX7zipDyMooQVOsG/U4nE1dm+XG\nekqXpTeIrLhMkg6lmRPTbOrazP6RfSuek/Wz5Kdyi2IGoOs6tU6LHx18dlFMS+UiJxdOUElUEDEf\nvVWncrBMqjNNykrzgQ98EG/Ww5gz+NErz6JFdcKjGmdGT5MbzeHEHezNDuGmMCHdxD3m4DWBf8bH\nN4P9sCJy8h5gsfQL80hroS469X2herqnundeFw1nkAWkYAikhVTfV6o7PvQhJ/8Cjez00eCafTQE\n5ObgnLagzXpG/ipSZOvLkC5y6fQYDZf/Jhoi2E6jnE3dW9IIPiiPRhzcOA2HEB8pXvV9rXpgdnPw\n/0rQ16bgvjQHbeo0MphsB/YFr/fRyBhyjEZIQd3qO0ljn67+RaAr6FO9GGkuaL8AhmbIZbpTHpoL\n6BqaoYMO1VoVDR1hyewu2oxONBqla2M34aYIAJaw6Gsb4IO7H+Dv/+URnj38NFpSp7uri6kNk/zZ\nU39MX2SAkl/k2X1PoffqZEtZWm5qpXWgjapZpRayOJvlVivqS+9um0AIVAHPS0QJmmJdyExPksvn\nePXNV4j1NXFT2zZmCzNUxiu8d/Befv6eX1j2D/P+3R/i2298g0Rbgjv+f/bePMa26zrz+51z7jzW\nPM9v4Ew+DqIsiZJNkWpZke02lI4DpNvtdCcdG5AjtAW4kRiNIIDhBJESW+h2ICAypI5suSPFkGPL\nblsTbVEiKc6Pj++Rb665bo13nu85Z+ePvVft+8SZerRIqjZQqFv3nrOnU3etvdb61rfm7mK5cPXw\nnvef/MBhTKxUOKAz1NZVkk1TSpH0UoeoyK36Jt968pvsqh1UV+E5HolEkvhCnN7VHlEVpXquyi/d\n88t8cecLZO7Jsru6zV5tDz/qo96rcHEJtn26e4pYM06sEaPlt7TwHOTQBckt6G+TKcxJDi2Q82jl\nsYZWJjUsA8c4OnYVoIXucazVchs2fiauuCFsTlsVrVCEdUT6WDT9SzL1IvA42j1Zw1qJXbSiwlwr\nPIyCJhQFNYt2o96IVixiBUnxzp7pe9H0dWCuL5nrB/uuFcRmCgs2kdifXC8lasSSu4y2/Fy0ZSlr\n2+y7RgAzkmQdNfszq+fnzDuoosLtuZDXB5+Y8nCS4BQcehd7qBNKM/HXApwVByfu4MQcgorP1Wev\noqKKSOixECxx/yf0oerM9mmG3z+C4zh06fH45R+Co7hcvEh7oEN1qMpBYZ/EiSTdapeJ/CQRIqgM\nLIkr9osAACAASURBVG8vc9ux2w//b1Uz5Cvf/PLh/26tViF6Y5Sg3UMpdVTA83W2I4V21K57OyRl\nnY9wS+4WVlaWWV1d4cHjH+GXf+3Vc8emJqb45IOf5M+/9w1K7RI3Dt/M/Q9oAdIfDD/53hu48O3z\nJCdTRKNRlFKEByGnTtxJLpLn5ulb+NKf/RFbagPGHMJeQLgf4qZcfOUTD+Lc97EPkhnM8sWHvsBB\n7oCt/U1K1SJ+xiecCqENgRcQPx7H3w+ob9cgDl7EI1gwgTOJ5YRYt6DE1hpoAVvHutIiaCEt6ESh\ndhpGC+aK+UzcczG0i3IVC2NfwzKGRNHCfcCMJQrONz91tMWyiLZaGthkZUm27mFBGQ5akZmKAIC2\ncjbNvWfRyk2UYg1bwga00gWtYCSBuoFVbhIjTGHdpcJfKXGwdSx7iLhjF7DpAGmz3vOmryWzHy5a\nqVWx8b3joJoK9iEcD3FcB7fp6hpxaUUyHSfYDuht9zRsvw7xO+JET8QINn0aXhtvNkI8HqdbC2mU\nG+zsbfPoiz9gzV+lU+oQcSIMZAa1lRV3aNVaDM0NM6AG2d/bo1lsEml4LK9fJd1KkyNHO9ECtDIr\nXyxR8ksMztUOSY+fPPND7h67i2hKqqoewfNfTztSaEfturf++FV2KMdtQ3eglCJfHnxd7pLpyWn+\n6Ud/9RoOu69888vXEMNOLk7z/pvv47FHHqW31CVBkp85+X5GeqPcf+8DPHT6Owyk8niXPFQArh+F\nBLoqcskn5sf4wYWHyWVyHPgHVA4qdIbbqEhfDbEooKDT62jW/JwDJUUwFmjhL7RS0+gY1RQWTi5K\nYhYtXDNoyy1EW2YVrHUTRbvNhNVCSsJIUvaIucZDx54umfsnzHgTaKUolhpYzscBtJtS4mACpHCw\nSdpZtLt0Ha0sGlg4vINW2jksY/7DWPqrYdPvlpmHICVL2MrTWxwiCfHMOENYy01cjYtmPZJo3jLr\nypl9kVy7rnm9ZNYSYg8AcbT1K27SgMODgzPi0HW6KFfh7Xu4oy71eF0XPY2iFXlVj696ila5hVpS\nOPsO2aEsOIqt1Ab/xe/+Mm7UgTTEBuNEc1G2KwWcwMFVLtFQi9V4Pk7Gy1LcPcBZjBENXUbHxghW\nAgZWB8kN5shF8mTiWeona9ckSydnUly+fJmbbr8VaUfw/NduRwrtqF339lYkf/5on4XlLS6UzpNf\nypNVObLZLLUrNT7+i7/I5PiUvj7rMXpilIPWAWpW4Qc+ftHHq3r0hruUB8ocVPbpNLpUe1UoK52v\nJIwZcbRAzJtTfhEbexJQhdBBCUO9WCS7gBA3CEhkCs2sP4O1ToawoIVJdM2yIhbpJ4pDoQW8Z+Z0\nGxbFiBn7STOnY1hU4IYZb8u8L0TCUmstiobkd00/m9gEakkrSJn1xsx94joUxbJrxhOuxi20Ikth\nq1nnscnPEkuTOmk+mkhZErs76EPCDlppbZi5Sp6dOWgcEjq7aOUpCl+szSI6Fufoe9QjZrOSEHQD\ngnOB3hOB+q/oZ9KutHFSHdSAwhly8Pd9dhs7qLTS5W3mwYtGcDsunfMdUrNpgqZPp9El2U4yuTCJ\ntEjSI55KkMlkSAQJ4rE4wXjAXem7+I2P/yYA/9v/83s8dfpxCtvb4MJkbpK5+Tm2tjYOUbdH8PzX\n144U2lG77u16EQm/Up+1YpVHn/0BjekG4W6Ik3Zolhocu+M4L2yeY3x0ghfOn6NQ30SNKmK9GPWV\nBoHj4+w6hIMhagh63R7NaJPQCaCmUDcpnW8mPIgC8NjEWkIlbBHOHDbnK8SiBdfM+0IWLEwdSSw/\nYhFtebWw/IUt09cq2rKbRlsX61gCYLGufCyTR2jmIikBTXNd24zRNvN91rwWhTxlxipjWfcrZv41\nLBfjcax7Moq2MJ9HK6oM18bDhCNRUIxVNH+ia64voJX4St/nSTNm3swjh4331c31RbTiFaquPTO3\naSzR8GUzvihbmcMAFkG5YNbQRQNe5IChzDyMlarq2k2pErrKeG+iZy3nHoQDIRTACz26F3rET8aJ\nOlHGFybodLuwCYmpBMqHufE56sUGY/lxcu08i/OLOE3tzy3sbPH4uce4mrqCYyqmX2pfpLpc4Rem\nP85YdYpSu/SyBTyPSIpf2o4U2lG77u16JH9ubW/xZ3/3NZ5ZexpCOD50nPJWhcGbB1lZWaYT7dDc\na5BZzBJEAnzl8/0zf896b40/e+5ruDmItqLUK3V6iR6JeIJ2rUU8mtBcfymHerOGm/QI90LyN+ep\nblcJq6FGCQqbu8Rs9tGCVRSEADuyaOHqY6szJ7FwdEnedc3nYm0EaEsmhmXgWDLXxtACfh0bE4qa\nPmex5VSElLeJJTVOYNntJbG4bD6LoIW3b+ZTMNfkzJhtLGHxD9HCv27Gr5m1j5i9GUDvk2v+PjB7\nJUncysx/1sw9MHvYNHtQQ7s5xTqMmf2QZGxBd1bMa7F6pR7cLtqqExBIBJ3r96x5JlLEdMk8nzI6\n3cHBVvRewsbhxFqcwiaMi4t1ycxdwCYZUDUFx8Df8onMR4iqCDdO3MypG+5kuXCV9gstWistkq0E\nQTXkAyfuY2JMW25KKXJdW2PNHXAhLjQp4MQdyq0y+Xz+Ja53aW9lwdt3cjtSaEfturcftzz8ZmGT\nz33z9znTO00w41Oql3h282nGOxP8rPo5qDlQgvRdGSIR/S8chiHVgQr+uUvM3T2P4zhE/RhztXku\nL1/CCz0m4hOk781QrO5T3arSrreJpCNEkh7J4RSdgw5hPiR0Q1uTS9ogWlCK6+sKFkDRTynVQVs9\nolAG0QLeM3/fihbSEbRLbwAtJKtoBSk5V8KsLyg+ccVNYSs/iwuwgq0CPYjNfWubvgbRCmUYrQgk\nYXvRrEfy4SLYStpZLNt9ApsH5pmxxAqrmnumzX2SdyaEw/2xwA5aieWxdFolLBJ0Els6R+KJabTi\nFDTp8+Z9SU4XphNJRBfuSYlj9rDlcYT/URwHcbO2CTTaVJRgFcuisoxWhgNoUM9xLIKyYu4H4rkE\niUScTDrLaG6Mx5uPMXV8mmQjSaVX4eL+BTLpDOlU5prDXdWv4KRcJvNTlCtlfOUTIcJ4dhwnda3b\nvr+9WrHRn2YU5JFCO2pvSftxkj//9om/Zd1dJUj6bFe3ceIOal5R3DrguZ3nuO/4Bym7JTZaa6iM\nhjS3Ok2cukObFoWLW3jKY2BykPzwAHcv3EO73OHGxRs5feUZhidG6SV9vIpH3E+gEor6Zg3f83EC\nF8fRbN9BO7D5TUI5JZWdc2gBeBFLAyXWRRV4D1rQrmDZN6QacxstvCNowS1usfPmfflsCK0IQAvX\nIrbopdT7EtRj1oxRRCuILbSSWMTSUTlo4b1j5ioKQ2qzgS3imTVjt8z7M2grLIe2eBJYYIvE+3po\n5ZM3Y13EuhXb2BppkjKQMfOUw8CBGVOowkArpy2udbFKhexx855r7hOUqRT3lKoBcbTSFsCNPNO2\n2a+LWFdlAmvZiktYyJx9LMuJyT10Oy6hCqkeVDnrnKXd6bBRWSc2GqM72dUxsMuQKCYpHBS4/9YH\nrjnc5SJ54sToJGKMJceRlm3nGIgO8ErtiKT45dsR9dVRe9u1Sq9CV3UoN8o4cXsCDZyA3kAPlEO2\nm2VsYIJEM4FX91AFiCViuMMe/qRPZ6rD5soGF09foLJTYff8DgrFqWN3MVoaZWZ7lrur9zB8MIIX\neiT8pEYyDikoKIKNQAs7iWlNYxkqhFFjE+2Ousl8XkZTSU2gBWIOLZBH0YJ12twnSDwh7U1h86uE\nOSTA1h0Teqg82sKbxyZIY/ofM++/p288QfjtmfvBWoMbWLdaHa2wFtBKRhj321im/6LpYw0bn0pg\ny8wIQEXqq4kFuIl1q65glUcd65qU60O0wsijld8U1gKbMnspYJgRtEKPYeOUknh9gFZ2A2iLS6oQ\nXDRrkppp62aOYr1lzPwFBNPGxiJvNGsdQf8PlMHpOSiTNtFOt6hEyzxZfJydK9tEnSig/28Tx5Mk\nU0nuvvEe/quP/uo1nooPn3qQmcQc4ZYlLQ4qAbPhPB+996O8UjsiKX75dmShHbWfaPvRwPZH7v5H\n5KN5Yk4cP/QPr1NK4SmPhJPATTv8m1/8HT7zzf+FeD5OrVGj7tbplXwmpyap1asE0ZBGtk7gB4wN\njnHXsbu5eu4Kpybv5GOLv8DN993Cuc2z/M0Tf0Ur0SKsBribmjHCcR1UW+n4jo8WYlJ08gW0EM2j\nFdcuVuiPYPPA5BR/gLZkhG1+Dsul2E8tJaTBkpsWYJUG2Lyvgrl2B/3tXUUL+V0zH+Ey7KGFsNxf\nQLtHJ8zYwqYhhUWvmmsFCJLAKkxRPBvoBPILaCUTlYeDFvIdLFpSFFQdnWbgot11Aoq5YubaNn01\nTP8Blt1DrMMhtPKKmHEUWjkOAs9gUyx6WI7JjlmDuFCV+b2Nfo4B+oAxjSV4FsYXqYAgJXhyWODN\nCPp5rwM5B6eCLkvzHATpANVTBLmArZUt0hMZ4vk4vXaX5bUrqN2Qc+fPks/mqdQq9nc+z0R5ks5B\nh0QmwV1zd/Gf3/8rTE9OUyo1eLl2RFL88u2owOfbqP20Ffh8ueq7z7zwFB+55QEuLV9luXyFIKET\nq9SWYsgb4pYbbmXGm+Mj7/95juWO8+TpJ0ikE3R2OoSjAb1Yj+HUMLW9Kj2/R3Q3wkhqlKAVsHhy\niWOpE9x/6gG+dvo/Uh+rc7lwiZ3YNtVUjeR8kq7TJdgMtKBLY6s+59GWUgqtpIRxYxxrqWyiFV8e\nWz15zlyHuVYQigLBL6KtkYi5T/Kv8lgXZw2LQPTRcxMLRIpUNrDIxQ42EbmJFsJ583oPSyXVQltO\nZbQiEGU7bD7L9K1TcrS2scTKFbTCEndfAqtYWliWk6G++SQ4hNFz0exLF1slYNBcK+jKhJnbrrlu\nCMsaIpReXaxVLBRiUqnbNc9GoP6j6ANA3rzumucg6101fQhLf9zcK27NNIfgEG/bhSqolMK50cGd\ncAlHQ5y2g78X0K10aNTrFNYLhA2FO+GwnSnw6MojrMfXeG77NJ2FNkW3yIlbTzCRn+TTv/BvuP/e\nB8nncq8qC65Hwdu3czsq8HnU3nHtlQLbZ1bO8K8/+mly38jxjTN/gRN1mBye5IbbbiTZTB2eQs9t\nnuWO+09pt44TZ29wj0q9TLfSJatyuMrDm/G4sHeeZtDEfdbh1vTtrK6v8GLvHJ2dLmsXVmmcaKCy\nIeVGCXfCtYwbfTBtwFY3zqKF5jSWt1HyqibRSk+srRrampKTvuRRCcPHGFrJDKOFJ+Z6gaJLUrIg\nCGewqEIpcFk0/aaxJMgiyLtopSJpBTPoONwgWimIdXIVbUmJhZJCC/cMWtinzY/k6IkVKmwgoiyH\nzZ7toy0uccVK+RpxtXbQSuUEVolexeapzWJzzCrmdc7szTFzfxpb1ft5s2dDZr6ijIRfsohlJ5HS\nMwIQkfhfBpuM3sQCTxSHccdoLIpCoeIQ92P0ej3CmRDlKYKeOXzlFCoICWcDWrEWJMDZcehlemys\nbBAs+NSvdnGXXDZKGxwbP8bKzgq3Lt32hkAdRyTFL21HCu2o/cTaKwW2y70yUxNT/A//4t/yazv/\n0qIlnWvRkv33LywsUr5SIj+Qp1FrUC/VqcdrhL0QfzbAjTj0ZgOeefIpzj56hoE7B4nGo9QWajSX\nG7owZ1wn3LKPFrAVtIIS+HgbuBctTKNo19sW1pU2jbUkHLS11EPHti5grbuy6VPop4awCL2mGWsd\nS0os1oXkeQk7iUD3V7AWUgcthF0sGbJwPkp8CLQVJOAJ36xL3Jjr5hrhVBS33LaZ72TffefRykoY\n9bf6xi6aPtbNvaKUM+iDQGjeFyi9MH20sIpGSukIqlKQm8IjKRaqb9Yk122YcaVw6aj5/Lz5EZCN\n1GCLoN2yqb7PxCrd0M8hlovhNwPYhEjRI93JsK/29MFFrEBHP6NwICQsh8TjCaZnpqmkKuysbRPG\nQhzHJXB7eE4EFQkpN8pk47kjUMd1aEcK7aj9xNorJWD3o7te7RQaNhRn1k7ToQtdRafcYfXFVbyE\nR9gK6HQ7BLOBJoRVms4onA3p1Dsc1PaJRmIoFRJOhlYpSBVnoU9ax7rH7sKyfohglzwugbaPoGM1\nC9jSJgqt1J7HVnIWTkcPrcAkl0oqSbvm5wBb6FNk3Q1mLLk+i57/ARbif9XMpYu2nPbRCmDIjCkF\nPtfQSkdYNhQa6PKs6Vvy4KSm2hTaNSlpBDksSGTd7IfE7rbQCn4arbwmsa5OSRUQqi0BdwTm86tY\nyH0Sq6QlrCoMLVJtW+KcVSzYZsSsV2KPBSwhtFTA7vWtL2/620FbiHkOAUDOmoPjO0Q6Hr1OjyCE\n1lgTz/fwe751mTocxiDduEd6Ks1B84CoH6Hn9PBCl57q4YUeSoW4RPFDn7ibOAJ1XId2pNCO2k+s\nvVxgO9gK+OgvvDK6S1phZ4uNzhrlZJkg6VOoFKitVgmGAtyki18KcFwHJ+IQNAPciIsb9widgMAP\nCJshvvIJ26EWjh7aleVgKaiW0cI0xCIRwVoncbS1tWLel/pdwgIvrCJJc/8VrAAX5SKJ1DW0gJUc\nqH0s24iPthglliWgBQdr+dyIZbJfM31dMn9LrbVxtKLoz2HDzFdAHK6ZVxatfLfQSkpQjAK6aJjX\nUvhzwvT/LBYo0zTzl1DIlpl3AZvbJfu4b94rYOOWw9hDRdW8N2v2dQDL/r9v9kz4MrtoQE/JjBtD\nHyguYVMSxKrLmPWGaMVeMc/kqnlvFLy4R/pEmiAI6UTbuCc81G5Ia6qFc+Dog8SU2c8aUITIUgS/\n5xM0A+rtGl7Lw9lxid4apbfaIzWepr3aIrYYx224LCwtXAPq2Nre4usPP0yhskvGzR2xgLzOdqTQ\njtpb1l6LmuflErAfvO8jr4rukvbQ6e8wcHKQu5p38/3nH9YlPHJdnLKLN+vgxh3CF0NdLy3maEFa\nVYSBdi06Qy6hH2qKoyraihDKpC46WbqEFqBbaKEqcSDhUwzRlsNxMymhvRJyX0mQFmosqVgtsSWh\njJI4mbgrS+a+OdOvsGGMoIXyqpmHuO6kLE0My8+4i1bM4+j17aBjdlLW5gqaWUMUlcDoW9icrwTa\nGlxHC/vvoxVeDmspCX9lvzJsYeNgEnuroxVgBJsrt4tNHpc4VhStHFyzJqH6kkRvsVTXsFRiQ9ja\ncZInKO5NiVlKDC6KTXgvm/vXsRyU49gipitAE4J6QLVctZyUwggTgDfs6X6kisA+MO4QKUXopjp0\nMh3woLXdYkANkXgmzvTiDN29LrFEjPbzbT50289yU++WQ3d6YWeL//DYH5E9nqId61EOKocsIMAR\n3dWrNEf9aDLD26CVSo2XpXt5t7dIxGVwMP2uWP+PUvMIrPi1qHl297f54cXXPpl+/q//PbVRnVz1\n1KUnWO+scVA+oLXdJHZCoys6y226xS4MaqWmlC4PQgXrZpO8rBNoYSf5XkW0ApAcK0lGnuewWOSh\nUJWSKXm0cHsebbGMYWM62+aecayiq5n+17DoRB9tpUTQCmEPK+ilMKgw5R+gLY15LF1U2VxXxRba\nLGJTDUShCA1V2qxnEsvUv4sW2pJ710UrkxeB95m572KLc25i+RCvmDlMYmH0kiS9j1W6gizsmmuk\nwvQqtoCnxLIErj+GpQHbwQI44lhQhyh7Acgk+16LpSeKSWKMk+Z9ee5J81yk6ncTnWtYxTK41NCK\nT/ZaKmtfBmfUgQswcmKETqyD63rk0zkmj08TPRPhwZs/ipN2NIPOqZcy6Hzlm19ma2iDVCpOq9Ul\nDJV2R65lKXqlN/ydeic2kYVvtB3B9t9G7d0E2//LR/6c+lj9GgSjm3UprhS57fgdL3tPYWeLLz36\nBdqTTZrxFhvNdb76N3/K5c1LrG6uMJodpd6o8ZeP/DmPnn2ETX+DdDxNrVFjt7sLEehe6eJMO4R+\nQNfr4nZcoo0o7IBaU1o4eVhAhoAwJN5kTt6HaL9ZLMVTAx33KmIReTdirZAttFAX8tu2+S35VnWs\n9SZJzVKCpYd1UUpJlBQW7NBEKy5RMEL7JDRVkqeGubaEZcJ30ApHrClBUAriT6iqBNEpCieJthIV\nNhes1XeduEiHTZ9iAVbMfqTQwl8AE5KkLCwdTSxvphArC7BELEnJbRMgyDg21reJrY0muW1CC1ZB\nHxKEuWUPC+9voJW4pB80zVoTWGWdNtdvcFgo9DANAGy8UMApHrDm4Iw7uJ5LNBHFnXJJjqaIJ2MM\nDAxSKZeplqoE1YDx3CTdSIet3S1Gs6NkM1mkPXLhYXqZHtGoh+8HKKW/P2eff57RW0ff0HfqndqO\nYPtH7bq2H5fJ+81Q8/TD+GvFKs9deRbnBpeznedhAP7dt34f5cPgzYNk57Kcef40LxReYCYzQ1AJ\n8AKPyakpCk9s0Y63wYdIIkIikcCv+TSTTa24FrFEs1Kd+Qr6FC6Q7iY2D8tHC9LL6FO8CF+pEiJu\nsUG0oBOFINbUHNY1uYbN/RKBLrW7klio+Ag6ifs2M4YonnFs1Wvf9N01Y0ewrCCT2KKhkrDcX4RU\nBHkcSzIMWjjfhrZ0jqOVxrBZ+wjaats3/W2Y+2bMHgrcXQS8QOcvY9MU5s1a+5Wq5KYpc18arZCk\nBE7J7IkofkFQptFgHXk9bT7bMdedNb9HsIpwG0u1JTybApoRUmLPPJ8qNlYp85WfO7CkyQU9B/d2\nh1Q2RW+3h7/vUx2u0dprMTM1S7F5gErr/8dn00+zvVvgzuN3UR14KalwLpKnroTaRTelFE7IEd3V\na7QjhXbUXtKuB5P3mykh068Ery4v40y6OI5DJ2zrshq9ixxc3Ce2Hmd9fxV3zCPcD9mp7DDlT9Gq\ndigPlBg9Ocb2pW38ZI9wQBHEAprRpnUVJrDUVGUst+IOWkhtoxkx5BRfwZZFSaHBI6tm0iJoxV23\nYq6JoAVp01w7Y15PYimlzmMZ+YWfUZKCs2hr5QBrtfUT7ApEfx8tzGtY0Mit5p6i6VtqtA1jaab6\nUweE31BidZJrdgHrUgzQQlzGm0UrU3FfSrwrgVV6C1jr7qLpo2z+dkw/sm8S5/Lkn8FcG8UCaS6Z\nPUj1vScoUakMLgTQQjy8YtYplmnLPAthZOmZPg/MZxNmLcIQI+5hUbAFtFKuYBPfJ/U+OHGHxk4D\nVVQ4Nzl4TY9gPGCjsk52IEe8EIcERHMx3EGXlZUVFuOLXG1f4X/68v/Iz93+AB8+9SAfPvUg/+Gx\nP0Id1xaKuBZPzd9NXdUOD3wrK8u0wzaTrSkK92y969yOb6YduRzfRu3t4nL8y0f+nEJ0i0vnL7C2\ntUZx+4D0aJrGTuN1uzZGs6M8fe4p3Kx76O8vXywR8+M8vfIEF5cvvMTVcnH5ArVklWg0wpXVqwQZ\nLe3SQYZ0PMUTa0/QClvsNndoLbRpt9qorMJXXd77nveTaqZIzSXp+G2qpYq2MNKKoBEQxkN9Sl9H\nx2JEWUlVY8l3EoEqAlNyovy+3ym01RDHuqbE5Scxmhy2WKYwf4gLURgxhEB3Ga1Ei+azFFqhSU0w\nKR7aNu8LMnLV9D2JVhKj5ho5MwjDvdRRC0x//XRTojzj2IoCNa4lDZYK0iFaoAvSsY6F1jtoC00S\nywUKL+MIYvMGM1dBgQpiUfLj1swc99EKJWvGFS7MBSwiVKzbUWzM8xhWUUoqQrtv72rYBPeamecE\nNsa4YvZVmEeS2Fhn09wnRNRJri3RkwC1qeAGiKVjeK6Hv+wTBiG953tMLIxT6pTodbpsXdxkc2Od\nC1fPozIKN+aRWczw9LmnuHPubu5euIdGoUq36DPaGeMT9/4ThtJDfP2b/y+XNi9y5oXnCMZDVFyx\ncMMCz186w4mhk9d8n97J7c26HI8U2tuovV0U2t888Q2e3HqczkSXMBvQTrfZXiswqAZZGjvOXz7y\n5zxy4eGXVUrS+ql5KlsVLj19kct7l9mMrLGyt8zpzWf5yn/6Mlc2L1HYKzCaHSXlpfj6332N9c46\nu2s7kAe36XLT9M0sb1+l5BRp7jTpOl26Tocg4uMHPiqq2DvYw2t6+MM+Xi5CpVSmnWoT+iF0QKG0\nIBIllcEKtX20svOxQlqstTHz/hZaoPXD7Gto4ZxEC3ShxKr39VXDMmUIc8UwFkyQND8ZtLAexiYw\nC8RdLLI2cA6tBNZN3zNYayeKja2Ji0zYRVxsnTVBRLa51r1aNOOtYGm6Rs06pO9xLJ+hMO1PYVGI\nO2YfhrEJ6QNm3xexFQfkYLCHzXFrmL4lTrjf92wkrikKTlIXhG9y2OzzhNkLZfoQii7hnaxjDy/7\nWDCM7N8oNrbomufZNesSBShoTamcENFrcBsuKqtwx1xc5RJ2QqITMcJsiGooapUakVaUqqriz/n0\noj3CGUVlrcxQd5D5E4uHMbH77vog7zt1L7fN3cktS7dTb9T42un/SO54jssHl2mPtekWupyavZPh\nkZF3XSztKIZ21K5b2yhs4Cy61wSfmXS59OLFN+SKnByf4ufueIAvPvIF2kMtgoTPle0r9GI93J6D\ne6fHtyvfxIk6nP3WGZQPx245zlZhg0wix/bTBT7woQ+SSWdpB20GagO00x3qqzX8tA8eODgEBOx3\n9qm/UCM5nqLZbkACvKSHHwaEO6EW2P1ghxXzdwMtBNfQguo4WlhuooXYC9jTeB4b10kDT6NP+wLR\n97H0UMexgIYaWmgLD6GANTy0dSY0T0JaPGPel1ypFpZa6wRaeAM8YX6L2y2GFshbWFqrBbTglgTv\nabT7L4mNJe6Z9U6iFcBx855U2pYq0VG00uiZsfZNfwKu6WLZ8RW2zEw/60YGi9j0zXzF/VnCuv5u\nwVYEEKXrmmcSYA8WUoNODhWY9/oBJQ0s60vFjCfJ7YKOFNnZwyIgj2NTADb69kjQqnUOY4Sxcg9z\nJQAAIABJREFU4zHUtkIVFOFoSKgUkXyE0AtwcHACB++uCNXvVQgmAtyKCxEH3+8RHY5R2igDrxwT\nk/hy1skxOjxKLpVDDSv2dvaYmJ58S2Np76TK2EcK7ai9pM1Mz7JSW8bJ9cW/aooW7TdcVFC+iJ2d\nLpXtMkxB72oXNalIdJNUuhW+/ew3aTWbJBtJTiZv5KYbb+DGW2+hvF+m9mKNnJtjcneKG26+kQvb\n53ns/KNaWJ4A13EJnRD/fAfPcVErDfwTPn7NR11QOMMOxNDs+RJjqmCVmwiyDFoYC/efIPNESBfQ\niiSKrTg9jRa2aXPPElp5LWKBCVUsKu8FtFBexboOhZRYvomiGDrmmpNoZVhCIyodtMISCiwBMcT6\n+pN8uLKZW8+MO9q3NinzInyQt6GVyQAWxr9sfu9irRJRSqNm3lITTVCCoZnHlpn7qBnjHJaxQ/LY\nZC3zWA7IF9BW2jpaWQj7vrj6XKwyk7xBUWBiEQrdl2eeQxcdV8uilfCAmbNUDKhik8ul1loGG2MU\nEE1/+oYgOlNAXeeqqUDhzDvEi0mC+R49R3OgRS575GZzdHtdwlSI1/Twkh6BCgj2QvKjKfykTux7\npThzf3w57sbp0MFxHNqq/ar3/bjtnVYZ+0ihHbWXtJnBWU5F72R1Z4V22CbuJliYXWB7t/CGUVby\nRUw4cXx8XdfMDVG9kEavjpNx2e/twxA0Sg0GO7vUr1a5beoUuaE8Mydn+Y2P/yaFe/QX68a5m3gy\n8jj+tIezAW7EI+wFRGci+Hs+YSuk+1iXIBJoN+OWTAStLLJoQfxBtMBaw1aKlkRccTOJ20mAA8IE\nkUZbEQIKuIo+zQtqUCy0ZbSiEEqnFSy3YxJLRyUWRhybC7Vlfm9g3VoCDpHq04PYGFYMqywX0cIa\ntFVYxlaJBgtwEdJicZ2BpW8SYmBBIEqs8TjW9dY1/QraUcAUm8ApM7ZwJWbQh5DZvvVcNmPW+55P\nCq1wpDSOzDljxhBOScx1cjA4j1ZODeApbD2zPFbB7mNdpDL3KtoalLps59HPt4NW5OLizGPRqDeZ\nPSlzmGoR7AW64OeOSyTp4fxQ0c11cQOHxVuW6OV77Lf2ibgRyEJ8MEEYhviZHt1Ol6RKopSi9EKJ\nbCbL//mNf8dkfoyfOfkhxkYmrgFZLU4s8ezaMzhZB+qKM0+fpllukT2epbBzfcEh77TK2EcxtLdR\ne7vE0Eazozx/6QwT85NMD88wNjiGu+exkFuim++8BLk41h1/ie++sLOl88VeeITN/Q1Gh8bYXNnA\nH/YJSj4d1cXNuDg4eK6rvUW+g9v2yM/maBQbjA6MHfYtMblGoc7pi6dpDtZxBzy8lAcZhY8Pmw5h\nLCRY8lHzSgsjYc4YxlZKFrh9ES3EptHCfRzrXhRgQxEt0IRlv4oFJciJfcL0L3W8JCk3YsbLoQWk\n8A4KwEDyryROJG3D9NfExui2sbE8ga8LcbIwgUhulvAU5rDVtJXpZwcroCWW2DRzkiRmiVFJkvEV\nbH00AVYIS4rCglzERdkxeyrMKi1zX8PMS1yLomQlxnYCCz7pYi2wESyaUhLh5YBQQbtQJVaYRltj\nKWwcbxut9MXFKiCQMtolK1bmgfm9h4255bFJ68IGItadoF+luvhd4OU9VFbh+RHi3Ti5O/OAorRW\npr5cIxKJoPYV3pSHqxzS0TTqvOJjJ/8zovsxzuycZjWzQqFXIBwIePbFZzk+eILFiaVDkFU8Fmco\nOcTBU/t0gw6JySQ33HQDagSePvfUdQWHPHLhYbrp7jXvOY4Ddbjn5L3XZYyXa0egkHdBe7sotFeq\ntXTTws0vQS76mz6fuPefXPMF6q9zlhiJs9xYplg+4OToDeyv7EHEgX1FaipFr+OTTCSI7EWIJD1c\n5TI4PkDQCkntp65BRS5OLLEwscQjL36fZq4JcejRxe/6OF2XSCuCO+cSNH0tsFpogdVAQ8yl5MoM\nWkCXsIwW+1gLqYMVcBtogTqBtiSkErPkmAnaT1CRQtMkrPDiuuxgWegFkCIM9R2s1SNMHyLs97F+\nFIHdT2CTfCWx2Dfr2jV9i9U5bvoAa0lJJQFxzUlhT6mDJlB918xnGm1VrnOtxeKZ+9fMuitYxKGg\nJkVxicvumNnDFtqFGscWPzVIQWbMPcMcciMyinZhxsx9QmUVN9fd2De+MISIEheATRX9zOtYy1fW\ns2P2aM6MPYJFR3rmennGY1h+zKJ5fifBjbqouCJshjChCC+FtDfbdFQHZ8LFG/fwYz7ZbpboahRn\nx6G71WM8GOeW2dt5cuNx/Ft8wlhIN9qhsFdgaGSYzRfX2SptUa/V2Dy/SdbPcSx2gqncNBN3TTIx\nPEEsFn9LEq0vLl+gmqi8rkPs9WxHCu1d0N4uCg20Urvt2B3cc/LeQwvp9RYV7GcJicXiDKeGaQdt\nInsRPjD5ARLNFK1ii1apAxVFUAlJZVMMjgwR344zEMmT28qTTKdojtQ5u3aGs8Xn+c4Pv8X25hb5\nWwaobldpdBu4aDSZs+EQG4rhzXr4RV8LM4mj7GIJgevo07uABYRHsIsWrNtoBVDEuh3BCkRhb+9g\n41FSH0w+EzfkBFroCT9kYK6VnC8HWyE6YvoKsDGeLXTMyUW76sQ6kXVJjlRo1ljsW6coc4GYC8WT\nVKlewzKSVLAI0G20q7SfLmsYy2x/EcsxKW63WdO/uPKkSkCMa8vKDGIJnbNoBXFg1h8za10w9wgC\nU5n3B82YQv4s7lVhxxcLShSUIFGT2PSEBFopCrI0auYu9GAnsC3eN4YgNSU+uIu1TiVGOqoFvUKh\nuoogE6D2FbHRGO6YRy6RI+1kiCajpHJJot0o7q0e8dE4QzcO8+zlp9nv7pEaT+N5Ho7j4CVdDraL\nXFm9TPamHM6wS3Y2h9/Uh8gLey++5dbTy6XfvNwh9nq3I5TjUfsHaa+nqOCPsoRk0lluO34HylX4\nMZ8Tt54ku5Lloee+A7NRHBx6SZ+DSwc8cMeDzOamSQxm2ExvaLYQk2BdzVf5k8e+zFL3GPlsjupG\njiAdEGvFcAd0kL3b7RBzY/ihT0/1tPCRiszC67eNtjikZEvLTFTce4LoG8e6GjfRSiSCrSItRL3i\nRtxBC+Lz2KRq4WysYIEiC1jCYmF6j5t5ibKVZGwBdAg4Yghb3kSqW181cxtEC94hNO+ioAml7WBj\ngoNoRSds+MLs0U8+PI/NWxOqMLB8iVJJWxRI3twvOXPPY5O2BQ0quXxSBFRqvcnngmsQKzNvnsMc\nWvm7ffcOYomGZdwiljZLnlUDbbmNmbmWzfNx0e7UJWyyvcD6pfSPsMWAZYdx0PG/HfSz3OxblyAw\nixoo4s67uHmHTtAhlUyRCBI0iw0CAryiRywVp1Kp0B3p0l3uUaoVGR+aALRyKpQ3WRhYwnEc6o0a\ny9tXaQdt/tev/C5TA1OcrTxPV3WJu3EWJ5ZIpzLXFRzycgTi/TUJ327tSKEdteveXoklZHNrg+kP\nzOA4DvulPSZOTFLZqeC0FUk3RXo6Q7AV8slPfJIvffvLrK6sHCqzbqvDbnmb3lyP3fIOg0uDVA4q\nRIIIfjsgrPfIj+Tx9jwSkZDd9T2rrG5GC84QHXdJA2c4RKgxYj5fwzJWCDGv5CyNoJWE8AYm0IJR\nBPaO6S9uXvtoBfWiGS/Rd2+AVpSLaOEsSmcQbQGJy7EfiSeIxAxakaygrYPz6HXOm7UK270U9cz0\nzWfcvDeMVkDiThWFeYAW+ufNb0FOykGgZOYk67kZ60IVi0/qikkJHNnDYXP/shlHlIhQTwmgpIat\nbB1FW2dSa2wIrUwVOk6217cfWTPOHvpAIlReBfNZC614lOl7Ehs7vWx+Z/vWKvOomn2fMM9WKhEI\nwnPbzOEK+pDRb5FmoFPtoEb03OLROCqi6IZdCB1iY3GanQY1VaNX6pKJZfA3fdSgwnEcwjAk3FIs\n3L9IvVHj2bVncHN6Ycv+MueWz+INeiQWEnScDs+sPs1t3u3883/0L7ie7Z1UGftIoR21695ers6Z\nv+kzPTF9qOTaqkNiIEFiIEG8GeeeE9pFMnCQZ3pymnw0Tzts0612KRdKlGtlwmhIOp2mXWpTqBRw\n0w6lzSLRiRiRSoT98h6dvQ5O4OBOO4QNpU/QLtZFJ8AND+v2WzG/98z7U2iBhrm2glUSO1hQRgpt\nhQgziJRhyWKLfw5iKZWumL7FYpGYWBlb0FPKtohwvw2tNKSWmMS+RLksmteZvnslT24TWwrFxVbi\nls8Vmu9QEr1FwKexlmDe7JOHtpBaZp9uwsamdsw9z2Hje2NYcuJVc4+gM2fMmgVNmsGiC5fN/i1h\ny7EU0AeDObMnJ9DKRhR81owxbOb7AhahKGkM/Up/FAsEiZt+RRHKISNr1uOhDwJDWCtVKpaPm75O\nY1MSJLUgpdfgX/WJFKI40w69ao/2eovOXgfS0DvoQgSCg5AgCCivlpk6NUt+b4COapNqJHjvDe9D\nDTqcvXrmUJkppaiXqmTfkyO+Fyexl6QdtkkQZ3Z4/m1rPf1DtCOFdtSue3slN8VDp7/Dhlo/hPF3\nlOZojLsJwOTSRLW75MOnPsLXvvdVtlMFnCmHoOETOAF+0SfVS+EUXdqFNsnRFIlOgmL7ALWkYNwh\njIeEK6EWXpLQLGwXS2glIwpL2DBexBaVFJeZuLUEZLCNFmob2MKfEXO/nOZr2NhKfx5UDy3shaj4\nkhlDFIv0P4i2PtpoZVNCQ+VLWESjb66bRwthQf2Jwhb345qZ6xaWi7FirgeLupS4XtGsX/Ky4mhl\nL9B41/QroA5JOcD8LakDY9jk8TQ6biVUVlLkdAqbpC2IzxPYkj1iGYFWns+Y/nxzn+S3SahZ8vEk\nWXsCm2O3Ysbrr/Ltcm0aQc3sh1hxAsiRpPssNiYoFbElCfyYeVYnzPWChNzRDDWJjQTxQpxatEZ0\nJkosGacVadLd6eFGHZhzcJoOkYRH86DObQu3MTc2zyd+7pcol5v8/jf+d5bXrtKJd/CUR87LkR3J\n4TgOTsbhthO3I83duzat5p2UFH092nVXaDs7O/ze7/0ejz/+OIlEgo997GN8+tOfJhZ74wG+o/b2\nbq/2ZXk5N0W/5bawsMizl5+BDCzOLx5acR/+0IMATE1Mce/ie1kprtCsNOh2eygvpO7VCYKA+bl5\nfNUjmo9SWi6i5hWu69Jr9VCugew30cJGCG5bWFTiAPp0/yIW0i3Q/atogXo7ltC4gFY0IbYycg2b\nDhBFcwseYKHoEhO6hM37kkKhM1hGewGLSMyogVZgETMvsagaaAG8guWFFA7FDdOn1OySEixFrDLf\nQFusoqBWsdZEC1trLIIV4hlsblzH9DVqrpGiowLI2DF7Xjb7ICVvwDJ5pNEKL49NFUiiLV1h3shj\ngS4J03d/GZ4eludS6K2EvURij/2wf7HMhMFErC2peCD5hrPm+jjWEhaIv7gppfTNBSyQJda3T0JV\nJoVgi+BMOJTqJaLHYqiootvrEHZCvJ5HmA6J1iLEUjEG44NMHZ9mZniOf/bz/5zBwTTl8iWcCEQG\nonSiHXOYcIiHMTqqe3gYhJcmV7/TkqKvR7vuCu1Tn/oUAwMD/Omf/inlcpnf+Z3fwfM8fvu3f/t6\nD3XUfoLtzXxZrrHcggqTY9M4LjhNh1w3z80nb+Gh09/ma4/8CZeWr3C1eBUngGgqSt2v0ev2cJwu\nfstnbX2NxF6C/FyerXALx3MIQoNaCNGCag7LnRiiBelFLDGw8AP6aKEkVkUKLah72HysY2ghh7le\nGDTm0ZbVEvrbVEGf1GtogRiiBewmWnmtoAVq0/y8gC1AKYz5At8fQwtQx/Q9gWXxb5g+JYdL4jYp\ntDIKsIpsxMxj3vS1Zsa5E1sMc82sRwqctk3/AqKImesE7biJVuAONta3hAXhCNdjy/ytsAVMfSzL\nv6AsR8x+LZt198xeSw7dKBYw42NBLHKASKAtqrp5NjEsaXLd9CUsIA0sEbUgWz0sIEQsNnExHzNj\nFfo+x6y/gK1GcAlbgy2i31eeopIsQwBdv0s0HiWSieKlPIJmQCqbIjeWh7pieHCEhJO8hqjgodPf\nZuDkIB9q/uxhDE0phVoG/4LPwnsXAMvIf/8HHui7952VFH092nVVaFevXuXMmTM88sgjDA3pMr6f\n+tSn+MxnPnOk0N5l7Y18WV7Jkut/v1Qp8dXdPyU6FuHszhmC+ZAr9Usw6lBdruDHApxhh1CFdHY6\nNJebDLgDrP1wlXajhbqqcEddnJ6DaimLhkugBZZQVAnkXbj+BJYvzPkLaPeW1EETJg1h6hA3objY\nxH21afoQV5yAEgQZKAJTYN85tGA9afp42vweNGMOoF1iYoVl+voSpXIOreSOmfsE6DGBtgTnTD+D\nWHedsHJMYVGQ/W5CocgSLscD018HbTUKm4dYTGIJSU5efzmWtHk9jVYQgelDUgIEcR5iS/gkzTWC\nwpSCowPYKt0jaCs6btYlFpIoXbGoJB1AiIjHsW5SKUXTn04gB4mO2Q9BPorVKhUBMub+0+Za4eic\nNH9Lysg4WslHsbXiUhANomSzGQ7CA4JKQCKdIJVJUdorEktHeaFwjq3tLQYHT1DpWcRwQiXYXi9A\nCPPtRf7tP/6feXHrHJW9l0cfvpmahO/0dl0V2ujoKF/4whcOlRnok0OtVnuVu47aW93eCj/66/my\nFHa2+Pr3/ozvrnyb1EySpcljVFPakvv4yV/kry9+41Apnlk7TTlZJnUhibvkEvoQH0pQ3DugN+Kj\ndkJdDXjbxV10CRsh65tr5G8dwNvRCavhRqj/owVCL3EuBy3YpOq0oN52sOjDbWyCbxJrcUXR4AAB\nAwi8XCiuzpo+FtFCeRutVLpY15pjrl1EK5RptMsqjraM4qbfcWzytZQ5WUUrWbFmVsz4HbTFN2Su\nFXfaIFoZ5bAsGBIT9MzYkswsuXECsEiafRErJ2HGr5r7RrCFL120wpT4nbCMZLEQemFCkQNBHltM\nNWf6j6OVijB+CFJxDXv4mMeCU8Ti3MSmQHT75uKjEay5vmcgCdsrZn/Ekpri2jw+ZcYSkEcHm2Mo\n+9cfHxSrNG6eQ7Fv3BoWZCOKOQdOxcUZAUe5pFsZIi2PMB9SrlUYmRlBlRXegsdvffk3ed+xn+HS\n8hXcYx6Xi5dw8y5D+WGUUoQXQsZHJzh16128UnszNQnf6c197Utef8tms9x3332Hfyul+JM/+RPe\n//73X89hjtobaOIa3BhYpzZaY2NgnS8+8gUKO1uvffOrtFwkj1LXJn/3f1lk3McOfoB/vEctqWHH\njWadyHSEL37rC9dYeB26eHmPQtXyRSYSCTwnAgdKK4R1cLIOXiZCr9uFWYdIPsLg/JBF+BWxDCBC\n6QS2/pZYSKvm5wCtXKpYATaGRfA10YLpLJbdPYZF4yXRgnEHLbxuQFs4M2ih1tLzZhwtUKPYsi9R\ntDCMogXitJn3cazbr4nmJnzS/OygBbJn1rNr7lnCFg8Vd53kUwlPoZAkd7FgCsnBA+vuFNqtDaxl\n0zTXSAxsB62Ammi3WxKbLyZMH2AZ8qX8jMQzS2ZPn8CydEjh0wW023bJXIvZs1W08nsG/ZxvQSug\nWdPHrpnLJDZxWxLXb0ZbWPPYUj1ggScjWJDHOLZ+nYu2ni+YfVtHW4c9tGU8gK1iPoE+0Eif4iUw\nCFY34hIWA9QlRftMm7m75jh5yw00Cg32r+yy+t1lCme3eOiH3+VK5wqPrT5G/qY8j/zgYboRbc4q\npVCFkKU7l/i709/l1dqHTz2o0wDM9/TQLXnqgVe9753crqtC+9H2mc98hvPnz/Nbv/Vbb+UwR+1V\n2qu5Bn+c9lpflkOWfbqHY7s5l+XtZRzHoRQUrzk5Jpy47ivksM9ULEXQ9rUQzIAz5xBGFKEfEIQB\nge8TqIBOs4M34mmFNoEWqONYa+ASGnQgCcySrDuMhZdnsPyMUmOrji3qGEMrrC2uLawpTBTiohNl\nIewbT6CVwg42uVdcdmKNVLB110JszKhs5pFEK4p7zO8hs848mvJJrAnJl5L0gzpaSF/tW5sh02UD\nm1AteW1SrmXFzGnC7JMAXCQxWjgdC2Y/drHJzS42BUBckMJKL6V3HDRyMYtWRsfQB4Fh9OFgEEth\npdCQ/hXz/u3YQ4NUPUiZ/WujkZwTWACH7KsgIFfNPQ42bcPDxir7cwXH0Qpw0KwnjVXU/VUWJK4n\nBNeSUydVsUNwfAfX03XSer5P4uYEBzsHLK9cpeKU6eV9St0Sm/lNDhp7VN0qlw4u4TgO4/OTdM91\niW3Hye8OcOrYXeSG8q/pOpSY9Vxljtxejtny3LsaEAJvIWz/s5/9LH/8x3/M5z73OY4dO/aG7vW8\nt1TPvm2brPt6rr8eVl+mP4d6WCUSse9vbW/x0OlvU+lVyEfzfPjUR5iaeOV//NnpGf7Vh36dv3vu\nu1S6ZXLRPB/+0IOH98i4CTdBF0to3FUdHAeGokM4DofvLy0t8cylp5mYmCTY6sGYolGsMzc1z+qT\nK/TSPVRDx8bCSEikHCGYCNhf2SPYD1A5ZcljM2hhIrBtqQOWQysioTMaQQsuSZqdRLsXpbSKsGok\n+/oIzHvbpo8ALfQk9iQKI2HmIlZTzHwmNFjCbSgAAonPCGO8wM/H0IJTFF8b7bqUHCofrRhE+QkY\npYZWOP2AhiY2TSA0+yDchsL7mEZbaUJeLGcOYVgRsAfY+mJCHeaa+UtsTgAZUlZGrDVBRnbM/CSG\nJukI8uza5vOIeSZ75v4hM7ZYTcIZOWbmFWDjVvtmrAMzV1FgFfP7AOsS7KIPQB20ohU05RyW2SWJ\n/j/Y6ttHSVcQEIyDJbAWa9aQKYfNkDDfpfpcBW/AozvVRUXA93vQgXAoJJwJKV8sEQz4fP97DzM8\nP0JyLsm997wXaUopBuID13yHX67NTs/wq9O/9qrXvB3bm5WBb4lC+93f/V2++tWv8tnPfpYHH3zw\nDd+fyyVf+6J3cbue65/Mj9FLtF/iR5/MjzE4qP05m4VNvvLUl4jORDWLh9rhK099iU8++EkA/vaJ\nvz1UdD9/788zPTkNwODgCW656cRLB+0b9+abbuDJ80/iTul/0EwsReTA4dO/8q/5+pmvH46ZmBrm\nntLdLOWXqHQqrG+uk26lSGaT3HX/nTz8xMPsndsjTIdE2hHiTpxGvaE5825QNiesgBbUN2NP3nEs\nVZOU/5DSJZK8Kwm+ObRbSYAAHSzU/io2Fic5SfPYEieioIToOIdNEhbGkNDct45lIZFcsDQ2puWZ\nPuUbOoW2oGQ9Qr0lloaw1Asrh49WHEK31caCMGJoQbuNFtwCIElhXZJpbNHQK6avTF+fEg/Mo5Vp\nC61YBHAjylf29iJaEQ1gE6jl3zxiXovCAa1oJ7B10EbMzzLW6hPXbgHL0wlWoUpMMoI+qEgagvBy\nSvpC24wtCdOjpn/Q1qegTMVlLXRaG2ZNbWxFhh7agjxn5rWnx1FdhR/xiZ2K4cZcujtd3GEXQgh6\nwSGgRV1QMAJ+6OM3fBoTdRKdONlSlkQiekhU0Nvo8YkHf+nwO3zUdLvuCu0P//AP+epXv8of/MEf\n8JGPfORN9VGttgiC8LUvfJc1z3PJ5ZLXdf0/c/JDnPvB//US1o733vdBSiUtib/+93+BP6wI2r3D\n+9Sw4ot/8WVKXlHfG3PYVnuc+6vP8d/c99+9qvV27bhxblu4g+WVZZqlBu85/j4+MH8fj73wBL1y\nyOr5q0xPzTA7NMevPPDPmJ2eOdyD//uvv8R6fp3t5QJhFMLxEOIQdAKiiRiD1Th7iV0tUMX1NIdF\n8gksfwotlEN07ERO/2lzvcD2xS24jz79i1IDLQgraAG2iHVfiVJRaGE7h60cvYwWnlIheQMtKLfR\nlockM89jy8KIy66OpapK940hwlMIjq9g+RTBxoHkgDtg+lhAu+0uo62bIrYatORdDWIVqlgcgjKU\nUjtFbJkW+XvM/JZcL0l1kL1KohXwlpmDIAB9LNGwwOS3sRaxY9Yj4B7Me6KE5fmOAn9n9nQYSyS8\nYa5LmH0/hS3kedn0XcaiRkO09bWNdUt2sK7YmnlWUhKogkW/ipUpLkmplXeT+Xtf74ffCEjkIoS9\nkCAZQlHZwqOgDz853Vd7vU1YV3hjEe7O3cvozqT1htzzIKnEwOF3+N3WRBa+0XZdFdqVK1f4/Oc/\nz6//+q9z5513sr+/f/jZyMjI6+4nCEJ8/6dPoUm7nusfG5ngv37ff3sta8f7HmBsZOJwjFKnjFK8\nBOTx1MqTnLjv5DWfuZMe33n626+Zx/Kj494wfzP3/+MHOHf+eX7zC79BZ6BDpBlhMD/E2pV10k6G\nIAhZ39zgP339/+PR84/RbLco10qsV9epHqviJTxCJ4QDqCTLGvE46RL2Qiv8BXou5WGEZT1jJtYP\nihDBJ9D7MbSCkPIhQ2ilJoi6CSyKTywH4fwTUt81bN0uIesVdN+BuXYGa0XtY/PehDy4vyCnQPUF\nPTds5iMW0j7ackxiIeliRcI1ZLmHeXGSjzWBBYtsYuucBWiBL9yQwtmYNf2IIpHyKi20JSO0VgKE\nEDBJEmu9Pc21bss9tIJIm2tXsTGpGLZMjHBKCmpV8uX6YfJSqqfftSiEzqI4hYD5hFlj0uxlzdy7\nZ9Z0GUtMLLB+Kc8jvJ03mf0XsM048KwZQ6H/n4T9f0/fE1YCuvUekWiEXqtnS9dIvuIBh4CkXqKH\n1/K4c+5ucs08/+UD/5T+9tMsI1+pXVeF9t3vfpcwDPn85z/P5z//eUALQsdxePHFF6/nUEftDbTX\nIhd9JXivE/Ka0Pw3Mu7ps8/wO3/123Rv7xE2Quqqxqa3ydL4Eo/2HmH9W2s0Kw3Wo6sES1qBbl3c\nonRQIhKNkHAT9Do92kGbMB5qoSinfIVNkhYLRvgad7CxDQF6SBHPMjaPSE7hJ7EFOkEvFdmsAAAg\nAElEQVRbBGf6+uxhmeolbge2onEWfZIXcEgZLSzrWMEruVVptBCPoS1Jge1LIUqJ80hunDBZbJh1\nSGFMQREOmGuFNWMWrWhAKyNM/wtmLIl9ieWYMf0Jq4kkLEtMcNy8f4BVkglsXCuOTXQWxVXFJnnP\nYKnHpD5Z3DwPKWcjYA5hdMG8L+jOPWzJHbHEhRKr2ffcJI1AmFv2zOeC/pTyMm20ZdY0c37BrHkL\njaSUJPg8lgw5j81zlDiovF8w+zqEtTTl/yaEwPPxRj2cPQdvwIMY+AXfltUxBNnRdBR6EHZCXjh/\njs/z718x7eanjeLqlZqjfvRY/jZopVLjp/L0EYm4DA6m/8HX/6OsH+KWHPAHqc/XXqLoZstzb4pp\n4L//P36D70e/RyvepLXaQs0oIl6ERCVBzh+gUarT3msxfHyYodlhYrk4W4VN9i7tEp2NkconKW6X\n6MTaWqAuo4VGHisI1tDC5Bg2LvYc1hKImWt7aGElp21RJOfRJ/YQ7T4UwuDz2Bpbc1iOx6f6rpk0\n8wnQAnAKm08lMbMm2hoTYS+0ThKPE9i50EIJs0YBTVQcNfeJFSKVmkUJCsu/0GBJTpqPRVNWTF8C\nmhHQwqrZE3E1tkw/TawFk0BbL4JUFNTiFXS6QRtb5Xoai/TzsXFAqZsWonO+JLY2ZPZr3NwXmDWI\nUhg0z/CyeT1hnp2wdUjunDyDLtoiBMuyIs+0Z8Z2gff07ZXkzDXMc0v3/T1r5rFp9mbWzFesSwft\nUu1i0znEfSoo2Tg4KQfVVDgbDl4sgoqFBMUA7uWwwkEkE8ELPLJncywsLXL3e+8hm8kdfjf/5Qf+\nFaDRxBuldZ5bfpalO4+RG8pfc807VamJLHyj7ajA59uo/aQKfP64Fapfb/vSQ19gQ60RpAKCWoDK\nK4IwoL3XJvQDegs9OokuncEO7Z02qXiaXq9LJ+gQ7Pl0s106rbZGO26jBWaIhad3sCVcBIW2j0XT\n3Yi1xvbMZwNYgVnHsuA3sGTDQugreV8ttGBeMwu7HSvEpKZaCy145XQvOUujZq6T2KTeSWySrrjE\nxNLoh4MLh6KQGe+ZtQnJL+bedbRgbKKFbgfLyi/13qRKtxTSlHiVJFxnsBW3xY0ZN2OIsE9hrVMR\n6DI3UdbCFRliXcAt81rKy+yhFU4TW45GaL+EgmwXC5Y56BurYvYxzyEA4zDmuI2tMuCirdLQ/NSw\nVc3loDKBRZWWTN+i0IXZJYGtSCAuS9kXF5uALknlKbMOKdYq8cUqxI7FcMYcnY5yEOrrkuDENNtN\nYi9Bspri/o9/mGxGo1SkKvXymSs8uvEI9bE6Z0tnqI3X2F4rMJQcIp5KXPfK1f/Q7ajA51H7sdor\nuSWvZ3G/ZrFB/IYEzVrjMN8sUAEcQOKeBO2ggxu6OHGH9mCb8naZgbkBOvUO9ZU6QdTXX3zQbrEM\n+rQsAIvzaGETRZ/EJVdKaImEWFhO3S+iFVWRw6rDRLE1wy6j3Y8CzFg2fQ1ggRzibhLggQAKRBiK\n20oEsKD3rmJJhOexVlfT9CW8i0IxJS41sUSrZk1SkmUZrZC7aJTdCFo5HGCTrUUR3YhNbxAeQlEe\nwgYSQQv3gnk9afreNfs0gLbsxrH14qT2WASbB1dFC/0q2oIr9q1rwdwv5Wea2Bpucp6T2JUUA90z\n65UYp8RMQ7P3q1glLYcbKakj1q4wx0jqwBb6MCE0YJLPt45NGhfL+BlshQEpDSSVFiQ1ZBX9/ylV\nGqQKws3mGlNZPEgGeF0Pr+QRzUdpVpt4TU+vpQUqqcgmsxadaprjOPzgxR/gjEJnp0thd4v4dIxG\nosHfP/EQCycWWZxYeldTXL1S++lM+Dpqr7tNjk/xc3c8QDaSo+KXeej0d94Uy0hhZ4tkPEXzTBP2\nHTwVgRUHtiGZTuJFI0TrETxcOrsdWq0WxeI+u4VdphpTnBy+gVQjhTfpWdehgwU6SBxIkmMV2oqS\nGItcI02AInvYk7dc65r3RBgl0AJtFi2sZ7HUTkUOBRQH5rNxrNtMrJP+ytHC8C5zjaEVhpSaEatI\ncpwy2ITwFbQyFKUsLPxZtFKbx6YUeNiCn5IcLgUsJd9N0hb6ofzCvi+KaAttjV7k0Io4tH73zWdi\n4dbRLt4zZn/yZowlsz8LZq23YpF9YnXK6wKWqSU0f2ewSdf/P3tvFmNZlp3nfefcMSLuFPOQEZmR\n81BT1tADWWyy202KFmlapETAFGnKFm2++EGQbYiG9SC/GYYFGLABv1iwIBMgZEAkGyRBSFSTbHaz\nq9ldXV1V2TlPMWTMc9x7I+58z/HD3n+sGzWxq1RtZlXHLgQqIvIM++xzY6291vrX/0uks4xzHsv+\nSw5kBucEA6wVQq0BApp0sFaGFuaE5YiFcE3iandr/p4jfg4vY43W07hNghCj+lxWcE7xMaZDJ1Xr\nYeg+6tLZ6NBX7yefyZM6TBO1YrqdiGgyIsyG7A7s8idf+3eszdvfXGW3zMLBHJXxCq2JJo2JOvNP\n5qg1ajTSDSrZCm8ufo+49iNYtvmbnsDJeLrHxyFBoWtkn8sy25xlbX2Nzlqb8dYEhDHVToXaYo12\nsk04lCDVhnqlTmuzxfTQNOdfuMCb33yDzFCW4nCJaq1CJ+4Q12Lb7WdwjmgAAwecxxm6Bs4RZDC+\nQzkq0VepKVew8X6sV6mCMe8rwhNl1FX/b6M443UDY8g4i4FRZFvU47WDcTDKScxiYqOiUJIRbPv5\nCjEpZGYvY8Uw5oiUJlTUJj5KsGhH6bcC1p+VwtSwB7A+uUEsxXjgfydlaqEi87jIWA4jxqI9RXx7\n/hppXLSyhsncyEmHmOCnNNhqfi472IbjAOdI1BawjZFDS4NuD+fU5fwu+rWr+Xte8/8m4mj8GtCz\nhnKis/59PPD3GeG4PE/ov9/169r099NmZBvTy/MN/UEhoBt32XqyTzQeEdZC4tGYoBzSmemQSydp\nJhp86+Y3+VvF/5jcYJ65tx4zeWWKduDyzEEQEI/B4doh3U6HldVlwrWQ8qygrj8648ShnYwPHB+W\nVf8r3/hdvvXgm2xsbzA2OM6rV3+CSrXM3extqo0qB/sHnD5zhvTlNMWNIqX2EDdX32K1ugoXY+Ig\notVoMRQMM3h5iPlHj7nz5BadaofOcofUj6foZrrE6ttSpCCnlsWlxS7gnEIdAyT04QzZAz9hodvU\n91XCRQ/L/mfBxIcxFvZ6zz17GTtW/RyE/FNvkXgfRc0kpOI5nAG85a+tml3Lnyf4PJgzuYfV/0QN\nlcEMqiIRMX+I4b7dcw2xdOxgEcUeLsoS6lGAFSl7C5F4DotiRDulXqzzuAhTUP4M1h6QwAidwaIl\n1e6y/vkX/DnqPVOnj4A7crKXMR21VYyS6xQOBPItf14XY7vXOs5j/XLn/Ryk93YRYyx5jEvHXsSY\nQlawBmulXbVhEfelmFC2cc62idUGxZgScIRKTfQnONw8IJqOCLshQSIgrIWE50Pibkwn6nJ65AzV\nRoWNm+tcff4ZOAuH4wdHcjIkoD/VT3W9Qn4yT7Kaoni+yHe3vsPaxuonFhjyUcaJQzsZHzh+UAmK\ntY1V/o9//7/xRu27bJU24RRsr22xsrjE/tIeE5+bIjOYYWhgiN31XSZyk2RrfZwqTbE+scL63Q2i\ne23S2RS5KEWYDFitLtO65mTqo2RE9EZE+ztt4qHYGYhlnHGoY+ztYuvoYJHLBM7IL2BEtXs4Qy1t\nMTkjpeLU7DuKQa5XsB36gL9fA7fzBxcJZHApL9FXrfqvJUxUdMIff4BLve34+4qQeAdj+k/gHLSY\n8vdxTuQtnEFWQ/I2zmnO4RytYOU3MMqmNi6SmvbP18Q5sn7cBkAchvf8s01iytCP/LXkOPNY5CJx\njYafq6DuiojVxzfsn0ugjAFMsbriryO9MTn5BNasvIVzZnKQoqESl6TYShTB1rD3LIoyRchSBGhh\nzl2tGYGfi2RsBPPPYUwhK7jPnKLRVf8sYqjJYZsbMfH3KnGvuHl2MxFkIVVM0d3pkogSdMIOMTFx\nFJPpy5BOpTk7dp6XCq/wqz/76/zOn/w2y/1LvHj6JRbW59k52OHw8ICxqTFOvTiDRl+m/1OtffZe\n48ShnYwPHO/XoxYdxvzOn/z2Ud/LfnmfpcQTqt0KQS5waZCpmM27m5CP2d/bY7xvgnQ6w8TpSfL1\nAi8VXuKr81+lc6FNqV6iMdkgqDk13vVbGwQvBsSVmKA/ICSkM9t1hlUCmacxVN0mBgXX9+NYalHp\nqklMHFK1MfWgyVg3cAZeDmAE5wwHcNDqJdxOX03Ve34uopCKMOqoazhDGeGcwwjGaag6WwVnqJP+\nuoKkqy8q8NcWvVUNAzgo/ZnAEHs3/bPIeJ/xayYH9oafpyRq1DulCC3vn/cU1mogXsJJrA9PUdqq\nfwfbOGcmyZo2xnvY8M9wCeeoDnGgHDm0cZxjbfjvd3EbgArmKMWxKeZ/UZMpipSA6Dl/zCUM9r+A\nScQImRlifJxa/0P/HHKaG/4ZJLXT8M9YwW0q5LwGcBFZF2NLGcZ95tQYrtqnJITaELW6EEPcjQmi\ngKgSER/ERP0RyUySWlhj/cka586dP1KykPL7wKkcz55/njPjs/zxv/0jRp5R3hyiSsS50+eo1H60\ngCEnsP2naPxNwfY/aIzmR98F3d+7s0clLtM61aI10KKSLfOXN75BPa5ToUKccXMPgoDGToO+0X7i\nTchP5o+uES1EzJbOs5Fbo1qrcrB1QGWpTKfdgRpU1iu02y26a126O1265a6JMXZwUVALQ/OJfkhN\nxttYLUlpLBlr/DlDuOhqBAMQbOMcj3bwAgccYH1XQsLlcU5x1p8jzkiwRucYl/oc9vca8vMXhD2P\n9ZCt+3le8NdQ424/zsBf8nOVM6tj0UYfxkByCWNLEVuHVyw4cu4l/7sapgAwgEVRmuMBbt27uN41\nnV/H2EzUZycQiK4nQVSxpqiJWvXEYUz5O4WLytaxRm6lSzX3Q4xFX+8Qf94oxqAiYue6fxbVHxc4\n3qO25o8RVF9MM2oBaOA2A/sYUKUXZKK2i9MY4bTvIztqCdjzxyiCHvPPIq7JFfdO4/sxccppoaUG\nU3Q2OgRhQCkxyPD4CLsPd/mVV36NibHJd7XZTDPDdHqaw+whtGGgm+PqqWsM9OcYa41/IqH7J7D9\nk/FDGZKg6IXu53N5qqerx+pq/dN9rDzaITGSoBN3jhxX2A5ohA2KnSLV21UK+QLFTJEfm/0JggHX\n83bz4U3C8wH9zQEONw7YWdohHA9oFyMzZhmcM1Mk0TtkSEWSKyHOR7hPeBm3e5aBE0mxduqLWEqs\nhHMyq1i9ahZLY+7jjFQRZ+zlWMW8Pok5sCzGudhLbaSm54uY0a75+4gtX+zuqocpEohxEcINf4/n\ncM6kiNFFNXEG/ftYCk7zUyoz6e8pNnw5x941fRmLjNRSIPYVMA0yAVPE2gJW/+tFjMZ+PQUcCXER\no+itBExZxznlDtbDlcHY9qdwDlNSPmK7B9u8RJi4agpLjSql2KtK0MWUr4WsPMRtHoQKbfh7LGO1\nsHzPOWIjSfrnkNp3r5p272ehxhHvZrAZEKdjgkIAWxAGCcaHxhlIDpDaTzOWG+fMi2f41p3XuL1y\n6z3ZQN6PHOFLr356tc/ea5xEaE/ReBojNHCN18+df4FXLn2W5y68wBsLr9MaON4cM5AZYOfJDol8\nksPGIXEqprvUpR216ay3SYwnoBQTpkOuDFzlv/zyf8XdR3f409tfpTXeoNVokw7TsAfp2TTdepfO\nbseQcfuY2OQmzpEo8lDBvYrVtTIY5dQpnCFUc7QMW91fcwJnvFSDiTFG/DEMJp7AWOlPYewjSmGC\n1fTA6nC7OMfT27Mk8U6pZA9jLPVCFgpOXsfqSoKPS1ka/3sZXUVAXf9sp/0a9GOoSjGDSHBTkaCi\n3Ps4hygyZPy6bGJaaGLmX8E5Dhn5Pf9vioK2sDpSEZO10bzVWiC052bPmqtGlcPqilv++bewTceU\nv4civWXcxiKJqWkfYorSQ7jI64m/TwpDu8pB7WB1yzIWNYoAecQ/a43jagaj/nuBQfp71mYEV38V\nkXEbgmRA4nyCuByTHEhSosS12WsMnR1h8FSJAiXOz17g/u27fOPeX7Ab7JAcStIYbPC9229wcegS\n+Vz+fckRPqmAkI8aoZ04tKdoPK0O7Z3jwfx9KtnjYJFUKs1z6ee42v8MrZUmwXxAuBOSSCQYOzcB\nLeg0OrTXWpwPL7Kyt8wf3/ojnqwuEIyGpAtpom5EopogO5rhsFYjrsfE7dj0ysZwhuYQg6cLBr2P\nOYFBnBGUrEgLZ1jO44zXQ4zTMcYkQhK4GtYjnBE77Lme4P6KqEQALGMo5J8AFKpHKXIc8T9LsVrC\nkJtY9LOH1ZeUKjvEQCFFXFRX8uuh/jowxKecwKZfg4q/d8Z/zfl1nMLADFqrGkapJbkYgR7EuHEW\nA8ncwxl8se8LHLLg12fT/04bDUVyKX+dLAbIkDOQk37ivxdAZ9fPOfD/l+SOwBdSKe/4tRDAR5uB\nQdznRe9DkH4pL+iaIc5Ja0PU9F9dvyZFjGIMjJRZCE41wW9jyFqlWsUaIz5L//zxdkyiliQ1nSJL\nH1Ecs9fapXxYpjJf4fH2I3b7d0icSpIcSbL+ZJWhvmGyY33sLuwykh/lD1/7CjeW3yIdZvjbL/08\nP/7CT3wkNp+nZXxUh3bC5fgUjR8ml+PHSV76fumNd/am/df//L9g8/zGMcfX2G+w9+YuqVKKjeY6\nB/sHRESk0mn6Ulk6ux066c5Rn1n82dgYHbI4w/c2xj4vhvkcxxFponFK4ozqOsbAr7SiOAYX/flD\n/ppKN4EzTFtYY7XqYmKP2MClx9T7pnpeDgNm3MepTau9YBjjStzx97mM9YYt9lyrgLGhnMF0t3qj\nvTQGmEjgnMZjTLVbtFQNrFa4jjOyQoBO+meQg7+MRRKqIS764+UMasDnsdSg0og3MfFPRZmzmGL4\nHFYLzOA2GGKsH8JSdisY1dSuv5dqnk9wDnDXz1uM+F2cAx305yf82uX8fDWfxxg/pHgq5bil+yYe\nzMcYvF+E0vqcbPm1Ubq34J91FxcdS29NAJFNfw0fvQVDAamtFEE2oLnWJH+qQCFXYLe+Q6KeoNgp\nEV+JqS5XmZ09S24gRxzHFDdLPPfS8/Aopp3t/LV/i5+0ccLl+CkYP6wITQ7oYOzgCMTRm674sOOD\n0htrG6v84Wtf4bX73+Db3/8WcSkmmbVS7caddfaDffbH9qgN1pzG2SFE1S7NsSbdRJfOSIc4Fzuj\nIQel/h1FLfKReZxBksCjajbnMMOTwEUlFZxROYUZ/zrHgQkCNSiVNogzSoeYYGQbYwBZxVjcxU4/\n3nPtfX+/RZxRPOvnJDFJRS3S1VKtTMjAQaxGl8SorKYxAVGl2fb8Mbv+nALW0KwoUg6qiuOg7Od4\n79sdnPGVMoBQgasYsXIXFykecoTWOwLKgItyRR+Wx+ieRDnVwjnUMQyUAg4M09vQrSb5Im7jsINz\nHCv+muAiy1G/rv0YtF6goMA/73bPdeXYT/k5bvn1TPhrTflzlvxcT/v3OoOli6WqXcEQmgXcZ0lA\nEKVJJSP0xN8z5dYhKAaE7ZBgJyAKIgcK2UhSP6gRL8cUwyLtRofcYI50Mk030SWdTLNb2WF3bYc2\nLcrzFUavjx6rZ3/SeRzhBBRyMj5gfJjm6B90vBf34zsjt+JzRR4uPGBydopM0eVkyhv7NM+3aHYa\nTmMthTFcLEF0OrJifgWD24swVki9fpyxV4N1DWc0ruCMpRydahpVnFFUVKDoCQxtKAcj2ig5vdjP\nb4Hj2lpitReDhsho5/w1pZLdh6Ec5UAExxeDvRSb5TBVUxvGGcLIr0cZFwFIB0xgjgbOiY9jkjCq\nefWiKJWu7CUWLvjfSWBTrQcy6GLfGMI5q2t+/in/TnT/GGspeBaD1Us9ewWjuxKUXo5Rv9NGoYlF\n34MYoEXPfIjV7qZ63lOAc27LOMd7GpOgWfdzUQ1ViM1L/t0MY/XHNSyClb6bgCPzOLFQAUHUGiIe\nz4R/NvwzK1Og/r19IAoI4oBu0KX7JILzMdm+LMkXEwTJJN2gS+NRg8HWEKMTY7QbLdZX11jr1gky\nAZlUhv3dfeLWHlO1KXIDtjH9MBJPn7Zx4tB+BMYP2hz9g473S1++03Fem32GSqdM80mD9GianSfb\n1GsNOu02cX9sja0hhs4TnFwMHerFinCGYg1D8ZVxu3odI3JiCSzqkVX32sMaqRX5CL2oCFB/EWJ+\nSOCii0n/tYCJOiriUD+ZSIyf8deLcek0aYnF/jw1HMvRhhhtl+ZbwUAiqt8N+7VRf1YFI1QWSlBO\nXETM97DalMiQn/fPFmH1wCYmYyMmEj2j0rdqphaHYxIDcSji3PDrpGhafJR7HIlcchqrja1jvVnV\nnutIF00MI0HPOqvnTRGt2Fd6nVqMRU51v3azuM2G+CoFoJH4q9heJvzxguerjaGEgYr03pL+2FUs\nKpdKOlgtteDPfcOvTzomasQElQBGIIwTtMfaZKIMISFRENMZ7XB494CVNzskJxNk2lloQ/tJh5ni\naa5cuMp8Yo65tTme74nG4jg+6ln7URsn5MQ/AqOQLL5LjfqjfugVhS2XlqiOVlkuLfEvX/sXrG2s\nvstx5gbyfP7CjzMdzJCqpkiNp+mb6nPOTPUv9R/tYGwc2rELQagmZkmFCMotNJxSkqNYf5eii31/\n7ArOcJ3BGUPVdxI4EIdAFVUcEi3hj81hacJH/pjP4uoy1/08N/y/gTOUYClCUTZtYtEmWIqujAFQ\nElgv1gTOKM74Z1aUUuk5VkAWAVzkmMQ8v4bB4PcwVOeG//0tzJl2sUbnbeCbft0eYkjSJX9vEf8K\n8bjp7yEASrPnmop68ecOY3Uq0Vtt+blLTUBNzOu4KGzR/77r10GtHA/9Pecw2jClGyUho/TfGia2\nOoaBiVSfPcQUGvTeVFtrYCTLA/5eeo4+/2xyopv+/AmcAxUCcwFTI99z1wyrIWEckmqmiBox3ZUu\nlXsVKvcrVG9VqC5XqQ/VKU4XaK902FvYgyU4N3OWq69cIz9U4OzZc9SXa0d/39WDCjf+8i2Wdhb5\nnT/57Y9EJP5JHic1tKdo/DBqaGsbq7x1/03+8sY32O3sMJAZIJVKf2Rdsz987SscjB0cOa7D2gEP\n9+/zzW9+nb2dPcLhgEw6c3R8KpWmvdbm6k9eo9Isc5Co0tpu0Ul1nHE/wNBwUziDUcXtiPtxzmwW\nq28NY+jGISwSElJOhqmDoRXHsObXAs5oL2HOBAxRt42LXkRfVfXzmMUZ+BcxAUylDm9wnERYr27f\n/1/q0gNYykmAghTO2G74Oa1iAqJKgwZYDa/fz1kghwBzBELeqR/vPK5mI1YQ9ZEJDZnx9xSTfovj\n0iuDOCN8AaPskiCpjpFu2gSmcqDGb/XTiRux69+hgBLihXyCa1pP4zYeVawmqFSx2gxU8+zdaAjN\nqGOEXiziPiO9tTWlB1VLPPT3KmGMIx3/OzXjK5WsmqkIk3sVzO9hhMzStRMJs7IJ6lkMIZgNSA2l\niJsQNHEySv5zFufioyb9uAZkAwZHBkmMJwiCgL4z/axtrjLcP0yukOdKcI2JYJyVB8t84+tfJ8gH\nVKjQLrW5NXfzI9fK/ybHSQ3tZLxrHNW0ziR5pvAMCwvz3F68xU9f+Bl+8Sc/Wo9KbxS2vrLG17/9\nNQ7bB4SHCc6dOk/9a3V+/EuvHlPXPXVqmiAIyIQZEv0JSEK4lCBKd91udwJnAASRTuB23SXMSICR\nBUs7S9Btpc7A7erFoSc2dtWrBnBOJMQ5phoG3Mj6+z3GEJRKZw37a+s6cibDWBrzOtb3toLVw/DX\nEypS7PQy3jHwkv85jUtJqfFWaUcR5oZYGnAOa1IWYrPtf18FvoDB0Bu4WtV3cPUvGVsJhGaBH/Nz\nWcI5bx9FHNWVtHGYxEVMWxiAReoESt8e4hyJUrZixu/DHGoJU6VW7U1RtmpNDzEHdg4TApWMS4zb\nBOmd3cN4GBWFZrH6VRWrB+5jNdRJv1Zzfk5DWEq6hAmmSqJoz58nJKpaCqZx5MhSZlAqXansIY7Q\nonE5JspGhAcB3YnIbWrU2qA0Z84d14wbNII6ub4cK7eW6dAhSZI79du8OPYyv/RTfw+AP/r+H1D8\nYpEgCCjHZV7//rcpJIr8s/k5vvjsl9+FbP44kc9PyziJ0J6i8XFHaL3RVKYvw/jkBKfOTjMWT/Dj\nL/zER7qmetAO9qr86ev/nr3hXbqnIhiNqXfqZOI0mZUsZwtnj9CPO+UdKtkyA5kBHizep7pXJTof\nkUi6lEs4GBJkQ4KBgLgvdgZgG2c4xKzRxXbR6rOSTEcvA36EMwzTGOxaApDSPytiGmWqzS35f5Pi\n9DTOGIEZmCWs1ynCGXHJoQhRqMhlBdMqkwxMGWMxKWNIPzF5iLlD1FtCx6l2KOYRRYJVnIOS0xIK\nUI5HUST+d4dYw7TUqA9wTqKAc6BnMSb7HZwjkdMTE4jg9Of8Pc5gNSWl3AT+6OIiyy4uChNydAfT\nd6v5fxObiZyjOCPPYDJBgxx3GHKgBYxvUqAX1bykFtCH8TGKBk3OCSwVegbjjMxhm4Y+LOpe9dcV\ngnYAo88SGbQcWgVrLYGjlGVERNSMiAf837pqnXq3BYi2unQGOrSabfZb+9CO6WQ6VLtV1m+vMpOa\noRm1ePvBmzzue0SUdu0+rUqLjcoGtYEa2ZEsuancMWTzx418/rjHR43QTmpon+LxcYNBwBGjdlY6\nzM/PcZA/gHxA0Ia+bB/BVEAj3aAR1Y8Jgj5z6lk6Kx0G+nOM9o0RtgLC/YBklCQRJuk2u8T5yNUB\nsoEzHsM4A3AZZ/y0+w9wBldovgeY3Mt5HCOHwBjgrpXvOV8cgULfCekndNwoLjovGI4AACAASURB\nVDWkxmQ5o4f+Go9wBkfpLc/Fd6Ra3cVFB9dwkc5ZnLGextjxX8c5M6UnlZo68MctYw6yD+dop3Dp\n1y1MviTGRSePcQ5yxN9X81OqTemyKs4Qi7FfBrnpn0Mkx2I7yWOR2S7OwG/iHMgFf2yfX5stXN1t\nzs8vjzmXNf+9UppN3MZhyf9cx0U2ap1Q7bMP51yEdm1wXGutV7gz6685hgFMOphDUs1rEatjCmAk\nQusDDNG4iykQSDFhzc9ZfXdKkyviDnCbgzV/D9WGtVGSA5bszhN/vWrPNUVVJo7OEDqpDocHB3Qr\nXdqFNo1Sg2iwS/iZBH+19Rp349v86aOvHhOR3V/bI5hyKMpMmD2GbIYPRj5/ksdJyvFTPN6PKf/D\ngkHemZr4+Uu/wMLCHIl2Ajox2WyWRMp9lJqdJnOVxyyXljisHfDa2l/yezf+DZ8Z+iyFqEA03yVP\nnsR4kjAdUu7bp70YuLqBnIRQaIKvr2KoPO18FRmIAf6h/0rijH0FZ8g2MJYMMWNI10s1N9WptIMW\nWnAFZ5BWsF6nTeC7/pgIZ7Q6/ngwZ6PamHb7SonOYj1SquX1YcrJ4jCc88cr3ZfDOfEJf9yG//0G\n1hyd8D8P+/NFpiw6qxFc6lFgnEV/73F/zALwF4MwfxGiLCQaMP0QPr9nDBlzGPmzeCbzmPOv44x1\nn39+qWRLmFTMHYpKle587I9PYhReApbIeeUxZ6+euAUMdVjz7/N53HtO+7ls+WPv4T4vL/q1bWIA\nIDW7i9RZKWDB8tuYqnXBn6c+M8kUNf2zHmAOWRFf3s9lA0uLJv2/rfWslxQitNZlYCEg3owJXoRO\noUun0SEgYKCQo1PssriwSH+pj0bUJKpEhIWQbuC42MJGgrMTZ4Hjm9kfxmb3aRgnDu1TOOSAlnee\ncOPm25x/6cKxmtb7EZa+V04deJdi9cKDeV6ceZm9gz0etR8SpkK63S61Zo3Weov+oQE2tta5tXCT\nSrVMo9Fg7tEjpsanKaSLjI20Ke/uczh4QNAfEB/GJu4YAiUIwoB4ExiInZMQE8U2zuBfxAr9EucM\ncca9g/WlzeLQe+ptk7yHiGXTOCPZW6s7wKRaBDiR7pl4E9VD1oexQmgHLo5G9cyB0V0F/vob/lwx\nYygSkI7YYM/v9YzLHOd3vNxz3eewlKIiuTcwNGXar43YOmp+TaSP9lezcO9LsPdPcJ7Qj6W7cPuf\nw8zX4PkF9/yixDqDQeqX/drM+vNqWASzgqX6slitsYpB/p/BMcBIf07OuYZJuEjj7QHusyKi4EW/\n/op6l7CWhj4M+FIFftLPT5Hxs8BfAJ/DWjWWsB5CoSDVl7iJbU5y2IZCOnpzfk0uYywicpr9Pc8q\nIEvOr/8djB1FafMRCM+EZIt9RG90adVbBMkQgoAwGVJrHpJtZ2nEDa6cvcKd79/m+isvcn/xHo3t\nOq1ui5mR00evsncz+3Ftdp+2ceLQPmXjWHPzYMi5ofM8fv0xL8xeZ2bwNF969cvvWfh9Z1N0Ja7w\nL1/7Fwx2B0mePp6aqPfXmH99jkbQIOwPiTsxB+0DEpsh+USe/Pk8X3/ra7TDFvEI1A4PYTRgrbpC\nqpmmtn5IdaNKK2wSd2ICQoIRiKaioxRfsByQyWZovFl3O+JzGMnrTQziLmHOCZxBa2HORhRLAZbG\n3MRFdI/9sapZFHCOT5RVSpG1/XWFYszhUociCxZnoRBxh7goq5ewGJwxVC1F0YaOE8BlHOeMFBXk\nMEXsXY4DKyR7ol6wOxiARDVAwdjlmNVjplqf0qT/7zOw9q8hfu5dnwu4CpV/CXduwu7fh+dvu2fp\nx5CoirTaWJ3wMsZrmMFkedQTuODfgyivVPyY979XTWrNP/eNnvU/hXuvciyiFOtdb/FETmOyOm9i\nKWQ1UCtdKLFXpV+1uZEUTj/WdK7aogA6j3FOS9d61r+DUYxFZgP3GetFU/bjPi/9/pkHca0UXTfn\n/lI/cSIm7AakTmVorbRIXEjQDgJiYtiBTqLD9pNN7sUxg40hBhZzdNe7XBm7SjmswCi89eRNrs+8\nSHa/72gzK021Txs7/wko5CkaHwco5J2w+kxflvHZCWaC0/zqz/76+xZ833meKHTu3LzF8JmRo+Oq\nuxVuPH6L7mSX5y4+T3c7YvPWBoP1QS6NXmG0OAKTsL6wRnuqTbfWJcpFpOIkYSFkf2GP6lgVcjGJ\na05qhnpMnIydwTgA9iAOY4LdgKgWuYBBwAdRX0lUUWCAEOcQxAohuP4kzqCKZV5IQbA+qqs4Jzbg\njxnB+rsCnAPLYhRNarQVOGEaq78JKDKBNSUrypNzvOy/n8QaiKW6vYUBI5aw9JXUq5/x9xnCGXuh\nLM9ikUIF5wCHcIZ3CqtrdfxzSF7l27Mw/3vv48x6xzgcfgFG/y1M71vPn0AXSawOKaVnoQSVqlN0\n8xjnlMb8e1GqL+HPq+GiLvX96dohrkaY9e9J5MFLuMhqyj+zUnbqu1PT+lrPGtQw5KlALjHWzD3r\nH3sVY61R+le1ULUpDGESNzO49yowjvTxRKitVg/11OHXa81dK9gJyZQy5M4OkEwmSXcyZBpZ+gb6\nSEdpotUYGpAup8gUs9TWaow+M0acibn43EXuzd3h0guXOXf1AqP5URqrDWgFpJZT/KOf/2+PNrNP\nOzv/CWz/ZAAfLTe+trHK1279GZWJMpkww9mJc+QGnBgnkUtFBEFAdbfCN7/+DarTVbIbfdCGcDyg\nGJSYiib5zBc+R3W3wtuP34QwRv8Fbchms9SbDZphk7AY0i1HhDuh+4N/DouS1jhiiY9GIpeSTMSm\nmSWNMmls5bFmXxXFqzi4/irO8IGlpi753+te57Hah8iPe2mhzvv/CzAwjYv8chhPo/riRJC76I8R\nA7/g46LkkjMUma9g3WK8EMmtmnrVnjCKMXAIEFHEGV+dq/YDKTcrZZnDRT95jLh4Dlj50g/gzPyI\nn4N7X4TRf+WeVTB0gWEU/U3gHPmIX2shR4dwG43xnufq3Wwo5Sx2kHNYT6GinDmMX1O6cpf87yVP\no/TvaVzatYSxuOzhUqUpP/cFrIduFeN0lE5a4N+Faq6qP6qRWirbeSzdqfcpZe3JnudaxIiVpaKg\numsdt9Grhwy08mQSKSb6poizMXPbjwmqcPnsFfrSfTSjJosPF8hP5hnLjnN24iy5gTztiTaLC4s8\nN/Q8+aECs8yysDDPXnfvCKD1fppqn4Zx4tA+ZePD5saVamz012n0NWgGTd568iYvnn6Jgf4cL555\nhaUHizw8vM/C5gIHqSqJIEmzv8lBrcpkZpJuocPcozmu7Dr2guu8xO7cHtvbmyQTSRLFJIlUkna1\nTdSNoAPxXkyn3HXGTY3KIc5B3IZEmCAgJK52zZiDMd1XcEX+IsZan8MZF2mNKU2ofjL1jwmWPopL\nRSnyEwKvhTFAaMipZP291Tcl+iylGJuYg5nCOc0AZyCfxZxOBhdViDdRzBhDfh4PMcMtrbcCBkTQ\nesU956s9QdfXR0A9bOew6GUNeDwI+//De34u3nfs/xYc/gHs7lkUKrHNSziDnsE5LvUXLmIacUIc\nruBSgGLkkMaYEI5ZnCMQKCSHUWXdwkWqisyHce9mz89B7yWB+3yJ6Pmyn9cDjONS6FAx0YjoWvI5\nw1gD/zYGXFILQ+TPE0ekxGj7/FwlLCvgyBnchkIN7Lqef+awGBJlIw7nqjz7wud4tPyITrZLdi9D\nbiZPnI25fOEKucE8iXqSZz//7DEex2zC1dSAo81lMBlSLJa4G9/md/7ot3n5c6+QHywclRU+6cz8\nveMEtv8pG4LViwrnKDd+/b1z44Lvnj17jnjNQefDQsjc2hydlQ4/fu1V4g7sLO7AMIStBI1mnSAd\nEOQC9vf3KeUGSaaTLMzPA5AbzPOFZ3+Knx39Oa6NP0u4H1Lfr9N90qWb6dKd6xJdjIiHY2fQRN20\nAOFKSKLiGBESfQmCbAC3cQZejBtPcMbqOZyTGMEZ6RSGjlOtBKwHq4gx7av+JOosRQpgqUnVnw4w\npectLA05hFE11XHGUHBrRYR7OCNfwoy/eBUjf8xt/2ziJxSryKa/nwxiEYtKRQummiEYcEGRBFhP\n32TPGnVxhn/rIs7Kf4gRX4X1C+457vlrL/rnG/broh7CG1hq8GzPvy1jzB4TGHhGaNY1zMEoGm3g\n3k/Zr5HWQM+u/4f+GcFAKEXMWQpwM+4fXeKuBdz7liDnAdZKccc/o9LDD/z1q/45FXlfwD5Tm/6+\n2gTpvUW4KPAalio+j4FkcjAyPcrM5dO8/p3X6Yx1SRVTjLw4SiaToS+ZZePmOjP7p/npCz/DQL+g\nuW7Mjp8ltZ8ijmMWFuYJJkPiaszZibMsLiyQvJxkYWPBLdmnBKrfO04itE/ZmByf4jde/U3+4saf\nUW67tML7AUHAUpSKrBYWF2hEDfoP+viNf/Cb/Pnbf8rgtUFGGmMUJoo0B5o8mntII10nl8/Tjtuk\ntpO8ev0LHMxXKWwVKCSL/IOf+4dsbK3zf/7B/064FpJpZUgkk7T3WnTPdV0q8Uns/tDVBJyBaCc6\nUqaOp2KCfEB8MXYGIsbVVWo4IyBKqAjTDkvgDMUSZqQkryLWil42iycY3VbQM5cKzui+jTP+cmhP\ncJGXeP52Mci3etCULky4Z6KIM5xgBL1zWIQhkdBBDMk3i4tEOlgv1hzOCIcYlDzApRIFZhNvZNfP\ndQKjZ6phoqDbQFsQzA85On22HkIfHmKRkAz/NVxKT43NShv3YT2FC1gK9gzO+U37a+WxCFXoSNU2\nhfbUZ0Coxxks3acytNZq1s9D9GEirFbD/STWE7ju533Gz6/hfyeU5x4GKhKbipCyqs8JXarvK1jr\nSBdrQSniPoNZiPdjDqoHHAaHtKZapPpSlHKDpFNp4jMx2c1+Xrr2Cr/6s7/+nrqE2f0+fusX/kfu\nrt7mVvUmxWKJs6ddOrIRNwmCgGYkGfJPB1S/d5w4tE/heC9pl/cbvSnK/FCB54aeJ45jZvZPMzk+\nRaVT5rB2wPbWJtVUlVSYIl/MU1+uExZC8pUC13/qJXKDeV7p/+yRHM3axip//OCPqJ+tM3PtNHEc\ns3FnnQMyNFINooXIIhoBOQSp94zy3aqHrQnAsIMzMFs4g7yLoe3SuCiuH2c8hnGGvuiPb2OK0+CM\njjTU2piopVKTEc4ZfBeXHlMNrd/PWfRNTVwKSQS3MzhDJbqn3sgig3O2ItJtYWktrcEc1nib888p\nlgtRU0V+LfqwyPIOFk2CM84CS9RwDk9pLyETu2bYPtRo163nT3D1fSzFWPZr9h3/XGdw76GDi772\ncZsEqVff88cs4qIcoUw3/HqWOS5hk8Ot+SzGxlHGOdf7uA2HFLAXsXYOibyKzkzEy4/8Wj6PNdyL\nzkpOR+jXHawuKmdWxG0eFjniYDxKQa5j7w7/DCpZLvtzDzhKR0bdmEqzTLAVkK6naSYbrJfXmChO\nkk6lacSNo/LBB21erz/7ElEcs1xaOio/ZIMMzbhBJrSNzKcBqt87ThzaJ3z8h/Kx/XXw3bgW8+bW\n98iczrK/tk93qkunv0MmnSbcT5AfyzM/P8f02mn+wc/9w6PrKpXZeuTgXkEQMHAmR+thi3AsQRAG\ndOMIirEzBG2OUG5BPiARJug0O84Jqdn2Hs44z2LGbB2ro4jpItvzO8HX38LYN3IY+/0ljJVdfV+C\nmveCNiTRsobVUKKee2ziDKp255J96YV9i2kiwiRWYpxhW8QoqFI4Y1vCGeubGL+kgCEF/+xTmE7X\ngF/HRzgjqXqSWOYzmKzJHHDmIWzfwxV6ftBxFy48skjyFi6SOoMZeREfr2KaZXLqEmBVxFzH6oZ9\nmIROAbfheeyfcxhjHung3tf3OE46LQHWB/5ntRNo07SP+wxN+DkIKi/Gl0PMIk5iWnYaAiJFuFTh\nAe693vfPNoUxlhzi3uGEXwddW+lxZRKkETfrjxmMifrjI7BIZ7dDYjDJ/sEeo6UxUvupY+WDD9q8\nvvNv+8zsLG++9T1mPzcL8KmB6veOE9j+UzQ+LGz/4+Bj++vgu6/f/g6P9h6QHEnSl+6js96mu9gl\n08hy5plZUqUUiWySYlDkc+d/7Oi+r93/Bq2BFjv72zSTDrtcPtwn0QlpVlpE7Yi4HFlKTHpbdWAR\nolxk2mgSezzARVFpjE0ij0miTPifC7gds2opQqZJ46qOM347GNfeAWZ8RUMkguBexyaHMoEzYjtu\nvkepKvFCSvpkxP9etFsrmLZZCTPGA1h6q4xzRuIkFEmwhDRlVFWfEjNHB9MKewFnINM4hytiXnE+\nNoDrDbhTg+bfed/Px7vG4G/BzLfdM8qJlTGnJHaPvF+/Kaz+NIBRcYl3UQAXweyH/H0E4xdTzAzm\nsCXlEuCALsNY+lFsMhO4yHzcXy/G6p9CUGqj0vHXXse9m6pfQzWgCywk8dIrWAN8AeNyFAflvp+/\nZGyqGGem0JDq2dvGanoF3DtrAJmA7naHIBkQ1WNalSZjO+P80//0n3Hx3KUf5E296297OnGaX3nl\n1wg8+OVpg+r3jhPY/o/g+P2v/y53d27T3GiRDTLMzp4ldyr/oZWoP2iXFw4EvHjBamujpTEaqRqM\nB3zm0ueOjovj+Nh9lco8O3GOt568SVgIaUdtcvk8peogG9sblNv7rpn5KgZk0M75EEvPyRCr/0u6\nYJuY4ZjGnFgfbue+jZHuSkOshsmO5DH14ioughLfoPqmxCPZxaWKhjF5EzkVpTHVyySGil4uRBlP\nQfJzWBpKEYwYLs74Z1Y69LL/N11f2mtqEzjFcfRiy8/vEFdrVN1wBFPMVi1t5mtw9yZEPwB0P3ED\nrv6F1RnbOIelGmavyKbAJ5JomcQ4JWM/9zv+XYjweAzTgpPD6KU8Exm1aoG7mEOSI1e0JbXuFawx\nfVbPwXGWf7C09b5fd9VJp/38pbPWqzSu1K3QpVMY56eavZcx4IsoyuC4GKs+P0lMXigbEzeheu+A\nwlSeXDvPqUszjI+qGPuDjff6277+7Esf6hqfpHHi0D6hY21jlT9b+CqdC21X6I0bvP34Ta6ff4lK\n9+Mr8kaHMfM7czSR05zlxr23qe5WeePh68f61iqd8lEK9O78bb4x/3VKl0pkE1nYg/TDDKeGp2AY\nhl4ZZmnpCRvrG3Ruto1MdxJn2OYxCiJwhk8OqYP1JwlOr5ShKJ2UagNDCu76L6U3xZko5okQZwBl\nVMDJwii1KRBA2s+xg6U5BzANLzlosCZaEREr2hPcPuY4j+MK1hO165/pCRbteGowNv3XFSz1JWj/\nKFZHWvFzkvwJOKepPrDnFiD4+3DnX3+wUwu/D1d/DX5swRlrRVniJtzw953EvbMFDGGpqKrG8Qhr\n289Z/VgrGCBDrPq7/vuHmOo0uHdew6U8J7DNwa5fg4u496NIcdvfp+XXQ9RX+PegjVGMi94Ubd73\nz7OJe8cChQgxCtYD2PLXmsFtlMQKIzDIsl8foXp3cO8pgXvHF7B+tXn/3NMx0VjE0OAw8+XHfOXr\nv8cv/dTf+9TJvnxc4yTl+BSND5Ny/MPXvsJiap5WympU5AIay3WeHX6e53ok2T/qWNtY5asP/h1P\nEovEIxGNgQaLDxdYe7BK4UqRoD+gmWyytrnKUN8Q+UqOby2/xlpqlRs7bxFOhuwubhM2EpQflfnM\nzGeotxvUqBEOhxzsH9CgTjwYE7dia1gVq8UuDikXBKYovYZzZoKsC8adxoAGOzgjIgJY1dfUcHze\nH+8buLmF1ZkqWApM6cIS1gunlB8Y+k2SMOI4VLS0y/HalgyqACUi1C37a6tZu41zEHLMgpLrHtuY\nqvI4pv0m+ib1UsnoSmRSTmzDn3fgjx/bgv5/C9Ub0LiMNf0B3IXR34IX/xf48kP37GpnECBDfW8L\nmEL4BIasFMCiV7EaDBHaxKKelj9HX72M+wL8iCmmiHMSopeSxI5AKor4FWWrr03kwENYSlACqmDp\nTBESpzEGkDFso1HEoksRJgu1KCCPHFvCr5mixxpGpC1tuF0/D0XZ0xBGIYOjQwRRQG40x9bdTZYa\nS0+t7MvHNU5Sjj9io9Ipc27y/FE6D5xTq+3X3rfn7MOOP3/7TyldGuTS1mVev/kddnd3aLaalDol\n4rWY+JxjEAnyAbf/6jar3VU2sxssPXpC91KXqNIlTCfY298ndy3HG43vMj4xwcaNdZqVJvvhHp1C\nl26j6wyBIpCAIymRsBISBZHbsU7jHJ1QgqqZjGC9TWAchXJEAmHcwUVP2mWH/vc7wCsYV+QjTPJD\nrQBFrK4inbENnCGSwxKZ7Vk/l1V/rQBjAJFYp1KVYtIXy0XXP8vzGEBFfV4LOINaxkUg8xjhcQET\nzGxi6tIytCUsLVfx5ytaaQFDC/Dcv4KdP4DGBXdwtw6lR/CCb6JWSm4Ji27EFBLgNhRKi277548x\nAmjxaipVO4RRTU1j0e6Gn9dLWFQXYI3z6hOTY5JDOI3RbD3GImcBYrb8tSULU+m5huZX8Wtc83Mr\n+/epWtcuLoK7i22mJDa6hHN8QqCqrifqMyFkV/w1av77GWzjtOrP3QNCSIVp6pUarU6LYrbERnWD\nM/2zLL61QCNukg0ynJmd/dBlhk/rOHFon9BRSBap9Fd48fRLLKzP04gapIMMr1549WNLPwiyf2vh\nJuXaPp3+Dq10k002yG71kWlm2dxbp7JdoZvokJ3so3pQoV6oE0URyXQSliCejWm1m1QPqxwkDtjJ\n7NB+1CL8iZAgDl26ZRhj6Ahxf+QPIZqOrOaxgDN6KuwLTZbEIiM15IqcNoWxN4xiDcniEGxi6DRF\nCdJgU70mg4k33sAYIho4YzaFpRyHMTmQK5jYpWD9sz3PqHSc6oRNTIVaTCchztjvYCAZ7fYLHNeG\nEyuH0qcZ/yKVXlVtUUhLgVPw9/su8NN77hv17+3jHKf69Vr++hk/L6VwFWmKvmrMz+UqzlgvYJFQ\n159fwoA5pZ5zs34dbmK6b9sYQrCGUZSJ0f5Zf50dvy5n/PeSINI6pHt+ViuAWkKkQi7ZG6WEBfKQ\nY035NS/iNl57WDO5+DQFKGlitT5F0lovNdrfwX1G1/zz9oCSotEujUSDMBWyvPKEs+3z3Hj8FsFk\neFRquPH4LQqDBU7GiUP7xA5BcgdO5Xj2/PNHENxffPWXP7Z7FJJFXlv7S3Y3djhMHsBkAN2AuBWz\nvrbGwXKV4HRAZ6BDd7zLxsN1oqkYNmMYgHazDUkIGgG1ZI2gXKcWH9JOtYlTMYmVhONprODqWEnM\neDSwlOAMRoZ7G2eIZnC1FnDGpIQhEos4oyYxSBk/sbWr/62CRYRiSsf/TrpWob+WiG6v4hxBiNtN\nl3EOYhpn/EQwPIPJzqg+KC5F1dX2/DzEgp/HnGsWcypCAgo0IP4/1bHmsDpfjPFLtrFGbg2xbgjq\nr3qe1L71JRCOFLpF1XQBF+UofacUn/re5JRE8ixFhKb//Q7Gpp/EWFQe+fchmZ8k5kT6/HUXcJsN\nCWHu+Z+VyhXdl+pQ4lY8i4uEzmLgoJafwzZGHHzo59L176qXH1ORn9ZLatoSK5WskEAgqnUqEt32\n70k0ZTcxXs/T/lq+vaQ/P0AiFVJv1InaEUEnIJlIQSWgelChMFk8RiLOZMiDuw/4nT/57R/5utqJ\nQ/uEjg/LCPJeo1c37cGjBzSDBtn+Pl46/TK/9JO/zH90/af5vf/n31CtVOGZgCCAZNc5ofpQjfpK\nnWQuSbQfEXZDglQA2cj9Ya/ijE4McdcxhMeDMa2wdcRc0dpqOWNVxxklX5cJ+0KiTuSMZwvXOzSA\nQZqn/PWFqOvijGcdtzNfx+12J3GGYgdnoAq4Iv8gzngqTXQOY/pQ/USgARH5lnHRVT9Wl5rFgCBz\nWC1PApFCwMmYZ7B0WYxzjooStzAGiiwGchF4ZB9j4BcS7zrOKE76+z+DiyClktzGGUylVftxBlap\nu1X/LGK5UOQpBKB/f9Sx/i+JpSqNKuSpZF7uYw4g5b8Xh6RAKstYBNPCEIXnMF5E9fJNYenSh7ge\nsxn/HNMY0nAHQ5VW/XrXcJHiOEYn1sb64/A/P8DaQ3YwnTbNSyAiMZXM4TZYO1hP3Za/5hTmpIWw\nzPtn2/TXE3uI0K/7bt5BJmD8mXEuD1/h3tw9KEK0HDE4OEg6laV0vsRBtUpcjQkKAa16k739PRoH\nDTY21piIJyiMFj+VHI0/6DhxaJ/g8WEYQd453r71Jv/rH/3PVNNVVp+s0BpskZhKMFmcZP1wjaV/\n/4R/9Lf+O748+zM8XLhHt90lEYSkMmkO2wfEMUR0SMQJiGO6dOgedl1qCszIZXH1houYcdzG7ZZl\nZF/CKI72IMpG5hDz/ksNu4NYv84gzujtYn1WSjeWcCmvop9HBmOnX8UZdRXhNzFtqxbGLjGIOQCR\nFgvhJmOkwv46zlA94Dg5rqIO9Tft4ZzJRf9MTzCgglCbqsWICUWNxeqji3AGdB6rSYk9Hr8OwnW0\ncfRdYprP+/uPY6nQOsZbeBeL8ET6nMLVx1Q3UhtF1LMuUxjX5HLP3BW5KkIe988jeqpZ/z4uY5Hs\nIS5du4A5QnCOuezXRrVRvQNtBMTSIaLnBAY6kchmx187gftsqJ1A2nZywkp/6rgdTMRV1xcrzTi2\n+ShggKIq7rPnm/GTnRSdibYRO7c5AjGlhzP0d3PQH1IslEifTpGezDA26NAqcRzTH/RzfcaJeK6U\nl0nmUyQTSYJuyI3Hb3Gdl8gPFY44Gn/U6monKMenaHwcemjvHGsbq/zha1/htfvf4MH8fUbzoxwc\nVvmffv+fsjO2w8KTefYbe9RzdVKZFDEx+VKeRrdJqpLi5z7/n/Dt23/FwcAB6VyGRrtBHEVQiUkc\nJkmdSRGkA9rzLo3ICO4PXE4A3B9zH5Z6EmXQDs6gKUIQwOBuz/fqT5P89pzbwAAAIABJREFUxwbW\naFzEGnAlnChkmUQo1TfUxqV2Gj3H1TB0oSKfRZxRu4AztAKfyEko+tLwu+ujVJacraDxAk/sYqwh\nilD2/JzOY7DzQ5wxFUDkCc6Q9/l5LmNSNXpWRZQ7/h5y9DtY07CIl4XIrOGcVBHrTcv56ynyKGM1\nHzWyN/3a72ObhTP+OPW7qdm6gdXG1OIgNhbB1dVQrdSr1qXyjmvJASq1p5rUrl+nuxg/oujT5GB0\nX4E1VKut4BzLFUzDTPprijyVrk76+woEuufXQUoLquuuYYoLGYxs2m/kosOI8GJIHMY2vyKwCIWg\nwMTsBMVuib5kht2tXUYmR0gkkjRrDbZubjEWjlEpV+j0dRiYyDGQHaA6X2VoepjkSJLGSoPxyXHH\n0bhSZmF14djf/icFCflRUY4nDu0pGL1O5+HCA4qZoXexaH/U674Xk8j8/Dx32rdY21mlPlaj0+0Q\nT0S09lukUxmK+RJBG6bSp/jSi1/m8ugVbt74Pu1um1a5SSFRILWbJpVJ0Wm1CYZDoq2IqBBBHRKN\nBEmSRLGPtC7iHJ0oiGQIG/77JpCGIAoIEgFEkDqVcuf31sO2sX4sMU6oBjaPMZ/HOKMPzojt+59V\nF4qwlNE5nBEfxdJMZZzjGMRFKy2cg9vGqLXUN1X2cxIrh+pcQhsqepTatKRT0hgZceTPW8U5uAIG\n0R/EpbjWMWBF0z/TMlbn2/NzlAOXGrTaEHQfweHH/PMs+XUS0GPcfy9qMIE6xv2zJDFJnAW/1hnM\ngUikU7poexizvkAQj3HOQmnfClZDkvTPDBYlb/njL2PRjjYZojHr+neommMWExkVeERN6VIbH8P4\nQytY/6E2Fard7WKbghE/vyEMESlE4zAmNCp1hwOMxV8p8LarfQXJAFoQhAHZrSynx89QLBd5efJl\nrg4/QylTIK4HNDYabM9tU5wqcemFy+w2drj9+m06lQ7DnWFKpRLBcOCo6w7g1NQpKrtl7j6+Q//l\n/k8kvP/EoX1CR6/TaefaHA4c8O23v82FwYv/wR+891Wh/v4t1itrNGYadNsd2pU2cSGGJKQaKYaG\nhunvDPBszvWzTYxN8pOXv8hYNEp7t8Ng3xCl4RJ9U/10tjrU52vE5Zh0IU12IEsymSQMQhLtBN1G\nl3AoJG7GVuiv+C+h7DruK2gGBIMByb3kUd9UXImdod/E+sjOYMAFkcC2/P+nMICH6lCncAbtur+G\n4Nc1LNKJsKL/rl/AC1grgKK+R1gvkZp4pzE9rzIuipzCGdAz/t+lyyXoe83/rpdt4hBjaFf6Ufpr\nESZ4OeZ/j7/2tL/eqZ7jxTu8jDPy0kNT2m0PS8+ew2i1ChiY5JL/nQATRX+etOQm/b8PYpGWVJh7\nYfkHGLOGQBoFf29J24h4eBXjxBQLfQ6LFhXpSZZHyMos1tahTVIFSxMKQp/yzysUaxZTOi/7r2k/\nf5E5y3mrZ06bBp0v6Rc1govObcGv45g7L+gPCNoB8WgM25AoJMhms2RbfUyEE8xePccXx7/EP/6V\nf8Lnn/88P/nMq3QrsLm6QeFiiXMT53i484B4OKYz0IEY0qMZzo6fZ2d/G9KQq+UYmxjj3l/d4fxn\nLpDJuA+K/vZ3F3Y/lh7VH/Y4cWif0NHrdIIgIJVK0u2L2Znf+cAP3jtTiVGjy5+99dVj6YUby2/R\nGmgdOy8IAnaWduj0dagkyoSpBO2oRbQbEWQCCukCuTjPRS7xK6/+2pFTzefyPHf+BT5z/nMs7S5R\nOjXIys4S1UKV/nQ/hVwe8gHtTouB4RwBAc1Gk+5Kl3g2ttSPDL6IZtdxBs1DzOMnMdFARJSKnBMU\n5ZBSQYLKd7EUk2RdrvnvBa8ewBmYHayWI720AVykkMMaovFz28LSigHOkJZ6vsTHd4DxGVaw6Ewq\n2ac57ihDHLBBpLfiflRqUg3ASr3JmdzHOYEJf56eWQKVo9gGIcB6tZSSE3pSqbscxnQCBvRQT10L\no2XqrQs1cY5ESEUBXJr+WKUzl7FNRRPnpA78/89hCtdCHqqhXQ3SivLUt6eU5z5GBj3lr6l3MdBz\n3V6x1gKmjK2mbXEwzmJqDOpnXPHrnMEo09RPN+PXS8THK5gmW4Tb5CglmsR9NgKcw/QZg0QnQTJK\nEu/FJPuSZMM+iuUiX/jMT1HrHrL0ZIn6QZ2xwhjnz85y8dRVlnaXGJwZZH597ujvOZ1MUV2uUjhb\npFuLuDJ1lcO7B7ww8gIz4Wn6sv1kxo/LAwVBAAfwyqXP8rSPk8bqT+iQHlnv+Os0it6pg7Syu/ye\nSrSlziDVvgoLG/M0oyaZMMPs+FlePv0yf/noG4xPjFOulUkUEtSqNfoW+wgPQkpnSxQni/z+13+X\ncCA4ggGDZ9FvJCjfKJPfK3BYOaQddAgSEK11yZzPsr+6TydsE6/GzjA8Bq6454rD2KWsQmz3+hhn\noAXRf4il6IZwO/Y7WLptATMuIgMuYLpagxgYQE3AgqYv4OYkIMUyxj0o/sQrGJmulLCloqyaUrPn\n/2LgUM/bGJY+C7AoQZGT+BfFJFLquV4v+7x2/EWsdwqskVr6Wyv+/AeYg1VzesXfT/ptajaXrIzY\n4p/BWDPW/TWUphXYQqCePhzsXOfk/c9y8oNY5NbFKJ7m/fmxn4OcfIDjyYwxPk5RSYGxdUxjsjJa\nN/ExSjV73N9XKUW1IQiY811/jJhEshyppB853l5hUNGKbWAN0uA+S324iH0aI7eu++csYelWIR0r\nkJnO0K63CbcSxF2cUG464NbKTbJTWYr5EsulJf7vb/5f/Pelf0x/tnTEi9qMVJSGVDbNueFzZLf6\noQJXh57hv/nP/9ERqvF3/uS3WY6XjtmW95OK+Q9V7HiaxkmE9jc8Hszfp5It90RoCdrtDqPNsfeN\n0N6ZSnxw9z7tM20a5QbjQ+NH6YXmSpNv3/8W7fE23bRr0Fx4Y47J9ClymRyP7z1maGiY0/kzvDB9\nnVajxU/97S8ydHqI71S+zaO9B+RGcjQGG3z99a/x7ft/RXumRTAckp8p8OjRIxKjCUrXS+RO5zlM\nHbJ/d4/2fttUhVUPWsOACi1M/0ugAV9bOHI+pzBuRhXVRforZOM6BvMW0KPQ8zMYh6NQZRf9MUqf\nDeOMk2Q8xjFhSdVwdnBO5jbWWCymkWGMWkrOTSS6Iq1VtDHg10HPLTLdLZxhlIr1Ez831YLq/j5i\n4RAIRAb4MtZM/QCLpJTGkyyLGqwP/HPKwe35OYhDUNyKsb+uwDlKa05g/WU7fj5jfg1aWFtEy19P\naUIpVCutKuDHGJYWzWDISjXMi7W+5Y9VVKXU6S5WEwX3maj4NZMMjRhLBAwR4bHEXvdw0aOcVm9N\nUDVYpT2lVVfBpaXVytHG9PBOYSlk9Qw2od3fJtqMiJsR8WREe7BFI1Wnfdimr5plduIsC/PzLB8s\n8+Yb3+O5M9eZHT/L926/wV53l1aqRRzHxGsRz15+numzM7xc/Ay/+rO/fqxEMZof5Xu33yDMh8dk\nof7uZ3/52HEfh2LHD2OcpBw/oaP3gxeGAclkSGOxyS995pff9wMlaRaNJ6tPiPJdaMHU8CnARUMP\n7z/g4vOXaKw2iauQ2kvQ6G9Sp8bpl88wMT7B4VyN5wdfoPykzNlXzpHPFbi/dI92rk2QDxxqamqC\nh/v3qR5WGJ+aOLr+nbnbHBYOyBXcPGuVA3Y7u874SJuqjUmuzOCcRRaLENT8LCMqRvJxnBEs4Iy0\nDKZScjJuw/734j8scdzgqx+s7K+5gTM0GxjS7QqGVhO3nlJmhxjQJI2LgARpz/l/jzFgwCMsGljC\n5ERUzylhCE05Q6HqJIUiwMEMlvJUb5bSlyt+XrOY8wGDmMtgq0ldyL59nJPy1EpHZMvq3VOT+Xmc\nEZZz1bXzGP2XolK1U2izsYilKoV23fNfAvVksQh0xF9b+mht/3x6ds1bjk9qC4O46F79ZSlcmjfr\n51HCmqND3GdMPWJiVkljGymwjdghzpFKiUF6atuYU1NUJkKA01j7ifTO6rjP9F3//Iv+PuchKLkN\naZSIIIDhwxHKiX2aEy3qUY2FjXn+4saf06w0+fKVnyHYC1h4ME++m+fKuWvkBvPv6aTgr5eF0ni/\nOvvfdK3tJOX4CR29DdLVboXJ4hif+4kvMDby/jIRvSrT8N5KtNWDCosrC1QmymQKGa5OXGV+fY7+\nbD+NdZe6KAwVeeFL15nZP00hX6Cac4l+pTaCIKARO3RBK25Rrza4+eYNyodlqtsVdirbVGpltne2\n6Ha6tNsda8wVtU8Vq1MJni/kniIpIfFUX5vG6mP7/nsBQoZxxuYSzgCL6y+B1b7UyyQUpDS6VPsB\nZ2xU+JcEiZzAHsbULmcjol/1i3UwkctFjsvfDOEMtYhqJXwp6itFDGV/3mOMob+/50s1ryF/zgqG\n8NvDOZZhDJyglOtkz++lWDCEc06H/jxlniQcGuEcxh5G+VTFQCuz/j1lMbSjIlqldTWvKSzKTeOi\nlQf+nS0Dr+M2BkpRCvSiCFKN7GIoAWPIV81KkbDSjvv+/3ruGBcdSsxTnzOx3Ys1RLJBknFR64X6\nGIX8jPy1lnCfkUGsBSXrf6damiJrRXpFjtLQwX5wVCMNCUmkkoTJkESQZHVlhbMvnaNVabGxvk7/\ndB+dUodv1V5j78Eev/GF3+QXv/D3jExh/4PJFH6QPtWPUvJ4mseJQ3sKhj54yWTI4OAAe3uHdDrR\n+x7/1ynRVg8qfO87b1CcKNDoa9AMmo7EuBsSZ2KygTk+fXjjWsz3H71NK26xtb1JZjRLOps+Ojaq\ndtmsrNM+1WSju057qsPe+h7RmS6tZIsgFdDZ7xhAYwQDKTzBGTDt2pex2oW0pwawelALZ2wEbJAe\nWS8nX4CRCcthRTgj2Y8h3Z7gjNU+JurYwRlDRYZyMKppjWI8fPs9xws+rmgixkRBUz3PMIFzUrOY\nUwwwcmA5UPw5s7hoTHU31fdUYxSgYQ1rYVCKVW0Egp+HmFq2wCyrWCSjGqHIkjX3QwzmP49FGzLS\nj/3ahlgEqWhFG5IBnMONeo6Vo835dS0Cb2BsHaqJnsH647YxOLwapQVsEWdnHWvpkJOdwjk+1fuk\n3i3mFdVk67iarNCuA1j/mj5TIi9+AWsvqOPSu5K30Zo/xHgia36uVQwooki5DnEyJqgHzollEwQt\nSNYS1LfqtGstNu9v0Kl1iGdihgvDQEArbh5rlP6oZArvNd65OYb3r7V9EsaJQ/uEjHcWbn/+0i9w\nd/U25XaZ6eQMv/wL/5n7eavM8v0lXnrxZQIC3n78JkyGhIWQ8mKZXC3H7IXZo+vGcUxci3hy8IT9\nw33CqZDsRJaV5RUm4gleePY6cRwTrccUZorsl/chF9CeaxGfi9wf93nodDvOeN7C7YI9Wz5Z3B+5\neo8CDJItg63akVKOW5ggo/SohFw8wPS4dI6yLQMYf6BAJ6qj92MF/l3//STOMJVwEeOhP0daWGJj\nL/pnGfPXvoYZuE2cY+5i+muKnoSak4GXATyL0TOpV0uQckWq01iaUvDxCawJWQCSNZwhF/mxeCql\nyiymCunIKWIZ8XONMDJlAV6exSLTOYxIWOnchziH+Dl/3iruc6BUL/5+Siv2Oomav/cIxrIy789X\nFHveX1fPdg+rIWojo1T0BdymRS0ASjVOYTIvAaY+MIT1AgqheeDf6ywGxlnzc7ntryEuR9X6VF9T\nm4NkZdRCogzABVxU1/LvK+ucWvetLtF4RJgOSSaTpEdT9A/00xnpUL1bZTqcJpPJ0G53yITZH1rU\n9M7NsWptX3r141Hs+P97nDi0j3F8FLRQ7zmDmRJ/94t/h/5s6V3H9H7oKnGFhQfz7+Jqu/7sS6xt\nrPLGne+yNr9GNshwYeQS21vbNKIGM5UZSqUh5ufnaM63yJBmOnua3ECewWuDvLhnytSXkzlKlUFO\ndacp7BfhChyOH/C1m39Gt9MliEPS/WlqezW3C1bUlMBSbovYTj3CRQYx7g89gaHXRCgrwIPABiry\nD+OMZhLja9zDRTVK2y1h6aihnmupYXbB/7uXn2caAyYc4IzZHoYSbGL1MkVq+t1jf+4uFnXF/r5d\nbD0EWx/HIp07/llEji61gFsYOjDlr5n1a4ZfC0VcSzgnK5LhZYwd/hmOg2BEUiyJlZb//xqWGhv/\n/9h78yDJsuu87/derpWVS+1rV3X1OjM9W89gCBCCQAogKNGEIQRph0OyZMlAyLKClBQSHZYUCjtI\nURGgwiH+JYcU2kiJFm2HFAYlkBRJAYRICCBAANPTs/RMd08vVV1d+5KVlVmV63vPf9z71cnqWTDT\nGAAzRN+IiurOynzvvvtennPPOd/3HazONeX/XcTQjoP+ujb8fepgDibCOHqLfl5CIZYw6a4RPz8B\ncST6W8Aamyo9t9Z3f4S2PMtxrUl1HFDLHAFSTuA2JTqGlFuUFtz06zzj72Ps5znl561GrHNYZmAD\n40uqLtz190XRtEjat7EWMartjuPu+eP+PUX396SdEK/HNMealJISw5URtte2iCsRazfWKFQGCJoh\np+ZOfceipndCE/bdNIIkSd516ItvlXJ7N457nY52Om8mEHrvZ4IA0jsBf+6ZTx2rof3q7/wKd4de\nC8Gd25s/ptWm473SukJ9oH6Ehrp45mmKwyVKS2WW20vcTS3TTtpkgxxz0RxDqSGCsyH3jvJWmb/y\n8b/K2sYqn/k3P8/65BrbO1vkp/Ksv7jG6sCqEx5WnUj1oHM4IyYNxlWccSjgHMM4ztAI8ixHIIj1\nXZwhOIN1RRbA4ik/OZF/+2Hx4zijN+/Pe9fP4zHMSZzFGZsJTDmkg7uGSziHIGK06n/ie0k9BKzm\nNIwz5A1/bNXhbvvPn8NSlFKkuObnK9I3GLeu44+nqG8O5wSki3mIRY4NDOI/569PHZrlLHKYc69j\n2oMy1uuYcoo0I+XA2hjcfxDjX93116h7Ktmt7b7r3fTrWMdElNu46O6snyOYxJQiSymKHGIgnyrw\nfqwe6iMdvuyPq4hOai3gaATvxxqCKvV5DRdh93Aalwe4Z3AA9zypxY54j4rENZc6x3UYNzDFfG0K\nTmB6lXm/FlrzYX/fYlz0W3TdKEaeGKHd7DBQHKC93yJ6NWZgJM/00CxRL6IQDfLhuR+iUnGNdfs3\nzH+UYPcaKr+83fEA5fgOjftBC937mTAMyI1k2LixyWOnnzh6372oRh3/XpKkjlfMF1nbXCXMh0dd\nrEfiUQaSPOHpkMnRKWZGZ5kcmSI/mmfllRVKc+XXOMyJziRjpXF+6Sv/nNRsipW1ZRgJuHv3LrtL\nO0T16Lh2niKqLdwX9wADbZzDGYIiVruS9p/SbWCpqyHcl16dhWXEBO/fxfhkeu6lsXcXU2qX6rpa\nrhxi0G3pAYpwvYhLQwpdKbCClC72/TnkzFSzWsacaB7rB6ZITChFgS96WD2ojUtBCqIufUnB9kW4\n7ueXqVHkOazBpdb5hL+WOQzUIbFkyWOpzxn+/Hf9tTQw4rk+JxSnHFfLvybouxySiOVCFip9fMfP\nQxxCtZxRbVGE9huY1qeg+EnfjzYASj3fxT1DY1gk1MOixrsYD00oxxATnm5g0b7WW3wxtbDBz7GB\n1fZUg5Wu5L6/l7p2AXCUth7271erHx/dBZWQFCFMQ9JI6Bx0SI2GdBsdkjwkKzHlh8vstHZIj6RJ\nmgnL8RKvtF5hbWeVq7VX+MLX/hOVuMJvXPvcuw52/+2OByjH7/G4H7TQ632mvlvnxedfotquHu22\n3qhwmxzGx3og3d25QzAcUhwsHWv8mT8c4NMf+p/499/8/153jrMzJ+it9I4ixXpjn5uXbsBMwmf+\nzc+TPpFie3EbDkIObjWI9iOibuSMv1TPb2G1kjGcgVK34LPYLryNM4YrwPtwxmcN5xSkJOJlr47Q\nfQN+soJD93BpKiEbX8Xa25/C6mP72K5f9asJTKJK35cIU4PwyudHaSV1Qq5i0WHbX+8g8Bym+af5\n9Yv0St1eQIUUzgCe9Nd2FQMyqE+a5iRlkbNY+nTCr5cg7BlclJDG1ECk7D+JM+BTfm2UMlPaK8JF\nggkWpSrqVYpXnQmUIpVCSb+DaeCci1KXGurmfBK3WRBYQnUwEazVX02IRfHWRrBI+zbuWVIPtyq2\niRrCeIH7/twdfy3qtC1VezVrFQBo389p1p9DeKn+61QqVG1sdjFenpT+RzCndgNDRqo1UAlDYBYg\nqcfEzeBI0zPai2gdtgh7IenFNKmzKfajfQJCoiBis7lONp0l6IbUJ/aZHJmiPdXm7//Wz/HhP/FD\nlAOXjgyC4PtWaR++Aw6t0+nwcz/3c3z+858nn8/z6U9/mk996lPv9GnedeN+0EL3fqa+u8+Lt59n\ncKZEfbx+pPjx8fOfYPH67WPpzL3rVaq9KsPz9aO62vMvXub0yBnKIxWKg6Wjxp9zY/NMT8684RxL\nYRmihD/4wle4u7bMYXzA/JmTNEYaLO7d5s4LS0xfmCY3mac32KN3vUdmMgNliCdil3Y8jeParOC+\n4EKwqd1GB+eoUjjDIXVzdf89g3NqGayNSBuLrmo4o3ANV1dqY3ykp3FGY9Yf4xBnyAaxyEWovrZ/\nX5Pj7UlGMFFeoepGsJqQ1PwVbVzw5xYkX1w0dZQWxH0V68AtIILSiWmcY1L9S2nbQ0z9Q8TwCkZP\nEGxd9UnVk2R8BcZQ1HXd/5YmoUjKUtnfxqH3RFRexznxNC7iexHnwCX2qyj7ij+fhKfH+uZVwJqI\nSoZMx5OKCf46hWBMY73IBHgRClT9zrp+jmrXUsbd831/LgF1prENVLbvOsE9Q5O49HIH22ypRqv2\nPaIuqDuCnH7Gz6Xj53bDf0bRYYB7ZtpYk9ZDbAOg4yYQNkP3PVqKSYoJ4XJIajpFKpem1W0RFlJE\nxYhOvkNjs8HQ40NE3mwHQUB7ssXS4hKPj1hG570Mu/92xzuecvzMZz7DCy+8wD/+x/+Yp59+ms98\n5jOcOnWKM2fOvOVjvBdTjm+Vmf9mn7n2ylU6xTYPz1wgm8kepS07Wx1+8v3/7TGSZLaXI3UuPJbi\nTFIJf/iFr1Hr7LG7vkPcirh56QYD+QJLK4s8OvsY1xavHptj9eUq+0mNw8kDllikNrFHN90lM55h\na3OT6nKV7kNdokbEYKnIfqNGMz4kk8nSabaJs7Gl/q5jAsF5zHBKO0/qEQJI9DdU3MPg2GWMA6To\nrYQV6vt37qeweobOs4IzWDLqMvzncYZWKvlKd05gTknAkAqmIp/lODFbsluqeZ3EGbUJjHt0HedU\nF3EOqebPW/HHEexfoAPB/9WDLcEZ/zbOOCtVGWKCvtIvlOajEIUieUufUWlAdZkWjUC94ST2XPXv\nf9KfSwr8I36tn/TrJ/WUPG4jMorx5iQPplroLsdFgkUcF5Q+6+9ZDiOsC+au65ESf9Ef+zzWq02g\nkKy/Hm1apnDPTIJtrLSpEpISzMH098/ThmINc5TqyKAmrHXseVaKtujvaxFTwlEWoOznu+nXaRCC\nZkCqkCLpJaRJE46GZLM5Mq0scTEmykdk0hny+Tzd3R7duEdYDsjFeZr1JrVGjc5+h3ySZ/7kSTRU\nLngviBC/0XhXKIU0m01+5md+hl/8xV/kiSee4PTp08RxzH/8j/+Rn/iJn3jLx3kvOrS3ysx/s89s\nr2/x2BOPMpAfRFAd1co+8tSP8PiZJ3nm/Pt5/OyTPLv49WN1tfruPi/feYn87AClcom95h6vXL3C\nI888SmmuzH6+xrXFq3z8/CfobneO5phLcoSnQ67fveZy8K194kpMbz2iuFCkfqdBNBxBDNk4x8b1\ndRobDeKBmEwnQ7fRtU7EABchKAdmnMZwO/45LO0nvT4VytV6I4tzCjWcEdLfVKeIMAX9DJZeU9pL\n0Z24UXmccxDfTfJPktSSYHIVZ4Ae8u+bw1JnIlELQNLF0m9qSSIHu+/ntO2vUUZ8GudAiv461fIF\njPys1jRKXwno0fPXJLFiqdF7o3i0YVjCoj+peAhtqNSrFDlq/jg7GApPvK3Ir3ULZ6SFXF3BCMyK\nwIXIVI1LrWUO/PtKOOc9hYE51v151KFcnRf6OWz9kZjEmIVObPvzHPjj5jnePXrGz3vfr6PSuDqX\nrlHOTshJoWXPYZGo3iupMwFEdMxRLEKTzFgFozJsYWCf/iai4r2tQ0xMcCegwCDlsTIDqwPMjs3R\n2N5n8MQgcTchk8sQ7oTE+zG9wR6pIEVciomJGRkbYeflXeZOzJEbyL+ljfR7YbwramhXr14liiIu\nXrx49Nr73vc+/uk//afv5GneteN+Okj3f+b/zf1fbBc3aLW6R39/vbTl2sYqL1+9wnp1jXwqz6mp\n0ywu3iaYDqm0h3jszBO8eOl5gg8EbDe2mZ6cOcqtv7xy5Vhu/Z/85j9yKYrmPpvNDeqHdeJUTOB7\nNmWyaYZKk+xd2ePWzk0OCgfE6Yj2bkQgKSr1uFoAOjgB4hiXtrqDMx6rOKMt0dqTOGN0A7dbFiAi\nxEUmq7iI4JDjEG+poAuar3qL4OkCLsh4SrFdRq3qP9/05xFUPo2LJsR5G+N41+ktjI6gGpWirJqf\n90ms7qTU1FN+jlKd38Za1AgNOIRFO6qhVXEOqYnV92RgFbFIf1Fz1DWLK6Y60CDWK6yESVYpUu5v\nxqq2Kv0gY6VDJXNV9NdRxd1jOecDrA3NJC613MLoAPM4xzjn59n0/1avsTLOEUqjsh/gkeY47WII\nI3lncff/Bb9mUorx9aqjDYTQtOLUdf2xpLCyjUujtrGWOFpz1UBFuG9gUVzFH+NVjtNPFOmpU4Du\nbw6Xwp2AcChFMAu9m12CmwPMnZlnqDxELsyws7rNXGGI1lKb4kyJuByzeOs22adzZKIMlfIQme00\nT/6Jp6i/vM+Jh+be87D7b3e8ow5ta2uLoaEh0mk77OjoKO12m2pFxJqMAAAgAElEQVS1yvDw8Jt8\n+sH46MUf5Ve/+cskoy48ez2So6D5lUcrLN68RXvaqYB09rvstXcJivDizefZb7laWTtuHX329XLr\n5XSF1cYK63trdEY75Io59pv71A8atA9bTI5MUb1SpVlv0iwfEhERVAKSjRhyAalOCiKIszFJLrGe\nZ9LGE8dM0kCPY2KtUiIXak71Ien2KSXZwNWsOhhBVjy1FKaLqMhAqhTS4ktjvbikcn8RZ2ikiK9G\nkorwtIeQYYox8MVlnPPK+b/fxPhWMn7zWLozwRzWJUxzMMA5mB4mOSXQi9JrTZxTFABhA+csijjD\nL/Fj+uZ+EhMlfsH/XVGIzgHWFmYFA5QM4LhyJ/vmv+Q/I4X5GsYtk5K+NCBv+ntU8H8Hi2AFkpGz\nVQ8zbVrkuDb8nA9xDkOgFDVtlYZlBUthZ3CRsGpmTdxmShSGUYwzl+27ZvVBU8ubFC6NLaTqLUwH\nU5Ja5/1165lSLXQba2ALThFFzlPISkXFj0AqTJHOZ0iSmHapTW+7x167SnVjl0p3iA+d/hATj0+T\nJGYLLlaeYileotVrke/kWTizQGmkTDnnKDb3jj+KkP43G++oQ2s2m2Szx8NE/b/T6bzeRx6MvjEz\nNcNPf+yn+bXf/3WqrerRbgs8F23nDl/65u8RzqYYGhw6Ik3XmnusvbzK9I9OQyFgn31WtpdJ8lBo\nFfhG42vQCiAD080ZLp+8xJWVl9jv1YgPEp678iy9iR7VW7u0G23ihutFdunms0zkJpgunuCwckhv\nqkeQgSAIXbYmSpOaC8kHAxzcatCNu87olLG6liSJhEZTVKWeZHI4IvwKaNH1r6vX1jLO+IG1c1Eq\nT0oVFf+j3fgg8DzOuPVwRvBu3/yUUpNTVc2mh0MfihydwRlY1b4k+dQPTBGSrosz6GAwfRHLJSx8\nElPdEC1gD2e8pzHpqi3gBzCwhDhiQj5O4FCWEg+exzmjSzjHHfvzSPNQ4BNxBJU+a+GctLhhIpJL\nekwOoYGpe6iPXRfnxHTPJFu2hpG5hUjcxtKNeczRDeCcyQSWLtW9fMUfa7tvjSVQHGGRq6JlRdqq\nhw7hAEv9mxelNCXi3E9aP+nPIxDNGM6hj+Ges/PY/S74Y38Vo36sYYLTYOCRSX+9JdyzXIT4wHnI\nqBeRBAm9mR6Dc0X21qqst9eYXBnnbOVhknxyZAu+ePkLlIZeS7F5o7Yw9woy/NJX/vmbcmPf6+Md\ndWi5XO41jkv/HxgYeL2PvO5IpV5L8v1+GKlUyOz0LH/hx/8iUeRyPqvrq/zLL/8zmgOHXN57jo0L\nG0SdiF65S21nj6fOPs3t3dssPLoAtQQK0O12aA23aF/tMPRwhRvVG3TLXXKtPPXCPn/5X3+KP/4D\nH6Y0VOLl5Su8vHQFlkI6mQ7RRGS1pg3YH99n7+5LpMfTBFFALGLQZEL8akRqLOV6oQ3Hzgiq1pPg\ndsgq8Eslv4Apd0xjyhBDGMdrjeONL6UoIokjidRK509k5gGMfNyPMNNrkmZS1AimhdhfG1J0KF5W\nAeM/bWBpT4Eh5vz8RjFVfmn51fzralUirUbByyVTJfHdW1jaMcCiJtV6hKLcxYAdp/xxVTccxNUD\npUF4F5fa7Zdw2vTXtOePM45zcEP+/Vv+uDHGzxrEOZiaf68I41IziYE/8Pdvzs9p3M91EdNazGG1\nvRE/L/qOoShX9bZzmLzZIlYfVOST4Jx8Aef4ZjFAj+TV1DlhH+uBJz3RXRxSdhHjremzem5Frahj\n+pd6/qb8jwSbr2JandrUiL8mpGzbOaJu3CWux0eZiY31dZhx2ZSbtZuczzzMx0//aa6svMjnLn2W\n5CBhdWmF3dIOHYkjxCf51J/6UdLp43bz91/8XbJzmT7nFxDOZfj9F7/In5/9C7ybx/36gHfUoU1O\nTrK3t0ccx4Shm9D29jb5fJ5yufwtPm2jXH7rzu+P4ui//s9+6UuUzha4+Y3rZOcz5HdytPIt6o19\npuanWFlZJhrsMjE2xpkzZ7h56yY31m5QSVcYHh+mvdomHA/o7XcZHC5Q7e5SG9zjN77wOYYqQzAJ\n2YtZ6q/UiR+OCeKAJEiOVA1al1uQQCfqGAfI87qi3YhgrEs7FxAFkdWv0lgPM3UV3sFFSOtYBLOO\nMwC7WP8zNcCMcNEGmL6jDGcaS0/tYCmiMUx+ScCHQX9sGcAt/9pdrIt1gNs1C6SyijPE2p3fxgxn\nCecsyjinUPK/ZfxUT9F1qQ3OIc5ZidOkaEnrJAMoQrI4ZGWsl5hqW3LWk/48AliImKzIV3D0R/19\nWMYIvgFO4X8L59QEnlFtMsQ4dJqjeHSn/L27jUsh4/+2jnNaN/xxun5eq/7etfwan+R4Sxc5+6a/\nHm0Mdvw16viKtqr+vc9j3RNGMemqKrY5klSYMgZzuGg78ee+inVTEMBG9r/o75XSi+r+3cGiaEW4\nqsNJiUbv3/T3Yx3bHGVxtTopkhQg2A2IazGp94dE9YiDzQM67TYvcJnnrjzLhz/xYYIgoLZf49qV\nlxltj5IppMkGaXKDKYaGCq9R1uhmWhQKOe4d3cPmfalwvBfGO+rQHnnkEdLpNJcvX+bpp58G4Jvf\n/CaPPfbY2zrO/n7zKEL5fhqpVEi5PHDs+tdqm7SyXfbbDXq9mPJAhYPaIe1eh14vZr/dILrbo1Po\n8lz7eXJBnsrwEEwGVLYqtOIWjeSAZAa6uz3q1X2i2Zheukt1eI9kLSE3kiUmJgkSknpifBxFPGrm\nKE5ZDveFDiC4G9A6aLnXB3GGRYX2GdyOWC1Klv2F3sF2zGM4ByGFBrWLqWO8JvWeeta/Vvfv38I5\nSUG8pQ6xjjnHc5ijEdG2hjO41zBNxo6fR4I1/Ez8/E/5OVUwIV31clvHGbEvYjtxoTMnMYBDzb9+\nAmtXom/fCs5Q1/w5xIGa8X87gYEhtjDyr8jrJzDE5h6GJFWknfQdTzSFOxgZWuhBkcrlNBXpnsQ6\nJagGJI3EJQxdqshLqMg9DEwiPp0ix4r/fwHXTqbij3EeSzu2sNqVuoArelWtSkomt3DPQbbvR9dx\nBqeVeQ5rmKrWPlV/HqmArOAcu+gaixiqto6rSS70zVeam0pZSvHmJO5ZE/qyn86xh3umlt08MnGG\n4ERAt9GjU+vS2GnARMJwdpjb7dt0uz0eXr1AaaTM1aXr5J7Ik9rK8MSTDpafJAmf/b3P8ed/7HjU\nlenmOTzcek16crQ7QLV6wLt5yBa+3fGOOrR8Ps8nP/lJfvZnf5bPfOYzbGxs8Mu//Mv8g3/wD97W\ncaIofs9pOd7veCNxYl1/MSyzF9XIkaMVt8hkskyVp2hvtMk0MpR3KhQmCtzK3SRVSdFKWqxfWaNS\nG+L0whkuX77ETrBNkAkIDgOCM04zkjiAICGcDuhu9si0s7QOm85Qqdaj2o76kuVwX+46R2TcsBzS\nXe2asr1ajoiX1MLqChKlfRhnSDpYPypFf0rrCb5/BpM1ehVH8pXKhaIWieOKxyZdQTD1iIafi5B3\nUsAQghKs6C+ItgjH0iFs4hzAPs6JHOAM5TewRpqP4JyuNCYlC3YB5yDmcY5kE9NjFHpQHQqaWN0u\nwaX5VJtS2xjpE85hcPee//8drAYn5KF0BVUbk6Hvl4V6CLcpGMNFLteBD2Kp2hrO8W7ingUBMNRE\ntYNFOepEPe/XcQyTkNJaqyu1nrnIn3Owb33kTNRZWpGgoPTqhp7BPVcNjMtX8OfqYlJbomyIfK5n\nUqomkV8/pavlyA/8PdzG0tPq4C09T3HYFHGm+uaw5v+mfmwDEJ4OKaVKDOQL7N/eJ+hAe61N6kSK\ngWCAieEJ1tbXSc+muXXrNo8PPUEratHpdrm9eYvWtRa5MMepqdPstfdeYzN/+PEfeV192R/+0Ef/\nyNrXd5xY/cEPfpBXXnmFf/gP/yFf+9rX+Kmf+qm3xUGD9yYP7X7Ga9uf7/PslW9wqnyWwYIrLIh8\nPTg+yPqdNSgGhIch7z/3AU5E85waPk3+4Txjg2O09prQhcpghebVFjf2r3MwfkAjbtAbj0i2Y3Jj\neZobLXrNLt12l7gZE23GVEpl2t02STmxHf0mzniP4QzCBtYby0Oqo43ICvtSUpBB0+sBxp2axlB8\nYKRm8YAGsOaNkg/Sjl0E1kdxu2QZUkUBihJUTxHCMMKUQxawKOXQn2caU9hXuk5tXCYwgy8YuKKz\nOs6BDPnfgskLpi9QjNJfsV8fgVHG/HvkGEb8PDQ3MK6ZRG/zfr7avAqOr3RvFlNmUVpsr289epgg\nseSiAgyWLqWUIuYUGphQcwG3GTjtz7vOcQX6BsY9FJ9rH+OUKWUX4ZyRaqESER7ERJ8XsDY7YOR8\noQu1BuIOyskWsA2CkJBbfWsFxgnbwWTGSriIM/DHExiphXt+hHY9h6Wn89hGYdivjfhx+HNL5HjO\nv76Gi0QDyJFjYGCAVD7FbHWWVJCiMDXIZGWSfD5PfbPByOgwYTPF7MwsKxt3WWzcJuykyE/naafb\nrG6scC44xw88+gH6x/1wY98t413BQwMXpf3CL/wCv/ALv/BOH/qP3Pji5S8c7Z7A875OZPji5S/w\nw49/1CK3aJiR/RHKw2VWllaYmZ5lrjvPRz70I0f6jJK6Amgc1PntZ3+LcCEkE2QYDkaob9cJ0yGt\nlSZRpkc8GRMEAVEqIrecJpvNM5IfpX2jTb27T9yLrZYlxQml4MZxX+pDDLTQwBmRCobo6/r3C1Qg\nRfVNnIET9yyFc163sKhiGNsx9zAh2ClM7UKAE7Vx6fhjp7DU5wZuZy0ovojD1zF5JokVr/ofGX/R\nASWiq3obfj5TGFcpgxF8a1jPM6U+da2aa4gz+v39uxT5rPn1UOpWkW4NeMK/No6LDut990gQdqEe\nJcelqK2ES6kNYILOUd+cpDIygXU8mOxb/w4mbYW/tkUM3CEkq/rdzfety7qf1w6mFqLUpGpVIh0r\nGhOIZQ9DZioyE6dRwByhHXOYzJSoBGqqqugz8OcSMGay7x7J4VX9mildLVmzJZzTFL1CAKENDPCS\nxyJq3Yd1jHbgNzrBYECQDwkbIbmDHGMnJqgEFWrdKmEvRak9yMJDp7m6eZU8rhaWxAksQeWcQzUm\nSQINSArHNVo17ocb+14eD8SJv4fjjQSNl7fvvH4rmh9+LdxW+oyNap3Fxdu0kjZbW5sEmYDhwjDb\nO9u0ei1S2ZCAkIOlBuH7QwqZAnGS0FvqwqmA/edrlEfKHEwekB/M02q0iYmcgVdEcoiJ+8rQzGFQ\n8PNYZCbwxHVMsFditF1MzzCDi6gkUyWDoogrxiDeqq9pZy1Hso51lq74YwviLp0/MKUPRXqC4cs5\njeCM3ZJ/bRZn1BYwUIGcjoAaSpWpRqKU0wEmSiwjO+7XZhQDZuxhxlkE4w6uPiZ5rjF/zKG+8wW4\nKGkVQ/F1/XHOY5ynXY5HRydwxn4Z69ml3mVrfWuw4O/LZZxzVi1OXLstnBGXoS/haolSCpnE0pkB\nrqZ0G0sxi/gsiL6ElqVHuY6Rv/MYeb2DSX6ByxZ0/L0SIVrruuqvXdqcE5jm4hbuGZjo+7+GKAbb\n2GZotO861zBRZ23qwEXOd3FpcaWLBfx5BEtJ3nDrkO1kGawMkiqkGJ4bJr+XZ/r8NKt/uMIzp55h\n8sQ4h4dtMjtZ5kdPEmwFDO8M89EnP8b23jat9Rb5IM/C2QXC6PUd2vfbeODQvofjjcSC764vM/PB\nE8cit3sVtFV7u1td5g+//FUalTr50wOOb9LaJ6pFLC0ucjjUJCpEJElMdBgTdgIGNgdIUpDqAsMJ\nwSC08k32F2sk08lRXSpYC0ieSpzRaGNyQYKTC/4urTylfMQFk8E/gwNgnMJFYY9gNQbJFd3CGVE1\n1MzjznsKayciKakmtmsGZ+DEPethzRhF1Fb68MD/fwary9Qw8Vsh6R7BOWJB5EUjUMNLiedKJ7CM\npRvlmCUMPOzn/iTOwJ7zny1hiM9rOOei1KbqSnsYl0uIQKH6xHtKYw1FFbVK0V4gBUHQFXUKpq4O\n3TXMEZf9udTduY5DE2rdCzhkYwfjFxb9HCJ/L0RQl0MTFF9NUvP+viq6VTQjxs+EXx91Majh0syK\n/LewaL+IZQiU6pTDHuq7F6NYL75BXPR41Z9r0c9v2J9XpHVRKUSar2Adqq9gAJNDjGM25j+z4s+5\nCcGpwIkO+IgtvBAS3AhgPKAdtZicnCSzk3Ek6WKZ933gGfZf2Odc/gyj3QH+/J/8H482sr+adr0R\npwPb2CZJ4prwPhgP+qF9L8e94sQAbMQMZssEw6+N3NT/rL/2FowErO2ssBFuUIrLlIMK5XSJWnaP\n6q0qvfEeQQqHYFxPSGoJ6ccyVCYr9HJdomzEwcEB0VZkXXvbuChFt0CCr/oCS0dRWoobuChIaT8B\nBQ4w6PU+7ouvtEv/Dj3CyLElLD22hzPiEiwe9D9K5ZWxppZ5HMx/EuNtqR7UwzmSIQxEIIOp9jCp\nvvODgTzSGO9K4JBrGKdJkU+AM7Tq0TWIwcvlfJUKA+dUQj9fpVAlThxh6NAsLrpRg801TAw64TiB\neRRTuJDh1ibgcf/7DKawIr6g+oIJWHLor09gjmGMy3ca6++mOt8KxiOc8K9l+s4hLpacv5p2KvU6\ngNvQCKq/hSmnyBkF/n37mANVzVaObt3/XSLDJawVkVKVAgIp41D1aziPce30vG1g3QEOcI5P/d9O\nYLVMqY4c4jZHeQjmA4vShzC+YQECAoJGSH4jT1gPOFg5ZGpwirHJcXIDOXLZHHOFOf72n/1fOX/i\nwlE9He5PBP29ON41NbQH462Pe9ufD+WG+MmP/Wk++3v/gaXkzhuqAdxbeyMXMj01Q7lV4fEzT9A4\nqHPruVtQgNR66OD1hwHZUo54MqJ7tUP8dEwvjmi2m+6LqsaQBZwxOIPV0J7HFNLzOCM7hTNCL+Oe\nIsHo1fZFaUiRaTuY41E6UfWxOu7LP4RzYudwRuQULk0lQIecTANntKSrKJTjoj/HAdZyJYczahKb\nrfvXl7HdNph8klRLRN5W7U9akQO4NJSQf8t+joqOejijrPSUEHxanxhLfSp1O+ivfd1fQw+X0gr8\nfZFqigRxFzF+lYx+1b/nIUypQsLJIkFnMbSqFF2ExLuFiSJnMEi/1FmU6hSARdJdul61CxKZewDn\nEIcx8rwANUN+Tq9iMlxqjHkei543/DEU/bQwlKIAHqqZ7vl1zOIibKELtaGQc83596m2K4ktrYXW\nTJs1gUkUMS9gdVRFpClcRLfAEYIyaSUmIlCAYCAgaScEUQBpyEYZhoeGSJ/KEOUi2iMdLt+8xEVc\nd/ly5vUjrnttxve7duO944FD+x6P/qLt5vY6v/313+bO9h2ev/wcZ54+S6lYfo2m4721t3yQo520\njnQbi4MlTg2fYu/WLuGcq53l55wSd7vaplQqMfBigZ3NbWe8xyCYDUm2Y+csHsaMurQCq7jdtyIe\nkU1fxTm/BawbtERz1WrkJs7BgO2KR/3/lfZSp+hTGPhATRi1A9d8CjhjNoOls5Su28UcxixWMxHy\nUuK0astyG8ctegR37Q0/3wpGTxjDGfY7/veWn+MQhrhLYZGM5LiewTmpIdwuXhy5Oaw2tIrt4M/4\n8y3gjOpVLIpSbVFNJgUMGfPXMoppNerREFBHqT45tgF/n+b8vcj7NZMA8zamhLLjPzeLOaQTGOBG\n2p1qQ6N1ELpRaEtJZ8lhjmHRlWgU6pcnubGzHEdriuahzc4YxrvL+N96NoSeFNhFtUalyUV4vsFx\nUrXWWSo1UzjahOqkt7FoT+jOnP8B58AauGdl3p97G5J0AkUIeiGFvQGCZgBnAtpBm/ZWm26pQ2Y6\ny+Lt2zx8eIGP/tDHAKcU9Pln/9NrtBi/G0CP96IO5AOH9g6P+30I1jZW+Vdf/ReUzhYIz4acHjrD\nza/f5MmFi8wNzx/bhSWHCS/cuEwn6ZALc4xPTlBdqZId8UioJOFc+jyHQ4esFO6SGkg5NNQqlIfK\nsAo7mW1SAyky2Qzd0S5JHBvQ4VU/KdUU+iMU6TGCGXU5OqEcmzhuFrhaQ4gziAO4WogM2CbOCFVw\nxXQh0cB4SmCOTDWpNlZPEuBCAAUh5OoYL02gEBF1wRypoNZr/pgJzrGI0Puyv0Y5Te3KBXYY8+cf\nwxm+JgZpV5Sn5qQ1nAOREK6URwTjl4EUbaLojyVqwm0/d0UpU33rAc4R3MI5+gQjtKt2JoX5XX/9\nL2J8NIkhK0W3jzPI+PdIS3Eb4/npvs9iZHPVtJQtUtS71rcOqjnpnEoR4tdCMH21eVn0cxD3bx5L\nU6tT9x6mz6jaYn9dcQ2LQgXjV6PSMYxQLXUTqX0IUDKOdTrYxTZWaxg0/w7uOcxjxG/VHj1qNG5E\nZKazxEHk2jI1EqanptldrTJVmTrqLj8zNcPK2gr/8sv/jHA6dUyL8ePnP3GkxfqdcjTvVR3IBzW0\nb2Osbazyua/8Gl+59iWu375G3Ir4t5f/nz5eWY1nr3yTcyPnv2V++3Nf+TUOJhtks2l6vYhsPsfk\nwhRzwTz//Z/6H44+v7axyn+68tvc2V+iOXDI6t4KN7duMrg9yA+UP0AlqDDRmeTPfOjP8YOnP8hL\n33iew91D2itt0r00rYMmnZkumUczxCMRvf0evaWeM1Aq9KvWpJ26uDNjmNiual6bmOETz0kagUKe\nqeHjGSxNFWGOYw5T/wixlKFEbUVIFdBD0H6pWSz7uQp5qWaX0j8MMJSanKmiAPWpOsCckWpJ6tMl\nBf8NrC6yh0HPZajLWFquzVE95UhhQ1p/F7BOA8NYx+lFf22Cs89gEUDLH/+2vz+S/NK6qwa47a8h\n79f0pv+dw+pliiyn/XWMYQCNfrkr/QicsonV/h7H1F2qWDp42K/dVt81q76mSKbu78Gef88htnka\n5LjWpuDw5zHQkeqfAvnk/Pl6mHSXziWARv9Gpb8T+jbGXROiV05xAYP66zkSH/k67vnYxj0b07gI\nteU/J6qAYPyDwByEcUh3u8PIwAi5oTzjw+MMlAoUh4qUKPMnF36MP/bkH2d9c42//ys/x9WDa+yu\n71DIFcgV8hz0GvzGH3yOwkOFt21j3s743Fd+zdXo+4BpYSlkd3H3u9I49EEN7bs8Xm8H85u//jnO\nfOAspcDpVr4eOvGNxhtB+O9t9/LFy19g+MIw5xbP89XnvkyvEpENshROFIgqEZ985iePdlDTkzP8\n7/w8P/9vf5bN1Aa1vSrNTJPWSovMfoZerUe727ZoQhJPIjhP4dJeQqWp/9W+f18T9wRJ1FdfdpGk\nJReliAIMPHESiwjX/fFX/XtO+b/dwBm8tj+mOE2KArTrj3B1NzkTzW8XZwhbuN25iMc13G5f/CEJ\n9E5gUYzmqj5jS1j3ZgELpBc5hXURwB+7gQOPnMSg+3cxQMcJ/38pscQYoOSEn3vRn2MRAyMIiNKv\nHwhGhhZ4oYPVj875OdzEmobmcY5hGIPDxzhnc4ildIVSFI8s8PdAI8Y0NPcw0V7VpE5hUSGYM76I\nRZ5CUUrXURwygTz6uWaStxI6UiChHY7TG6TfKE6egE013EbrIewZr2LPEbiUexEjjeOvWQhWPStl\nv4Y3MQ1I1f9GcM/WSUw2awPCdEgwGJCdyjPOOEHenSBJEpp3D/nIj/zIUbZmdWyVTrZDK24d1deW\nFhfpTnXfFAH9Toy3ao/ebeOBQ7vP8Xqk6G6ly+LGIo8Xnzh631t9CMrpCo2kfuy112sLcXfnDi/d\nfpHby7ehEjA2PU6QhY3Ndf5w9w/4z3/vd5maniJfGODp+fdRq9XoTLQZmRnh4EaDVr1KN92ll+mR\nzCXOYZ3EIoMc7kss7UFxfAZwxnHDT0S1BKVnlHKUQ8zijv0MzkBu9b0eYETWNM74698n+94/iSMS\nq7XMCma46jiDq2K8SLTT/mfDH0N1o2HMKchIq4vzaX+8OzijXOn7nKDfAdal+RBLJ4pzp8adkpYS\n6fYGpqH4EM5IigQs8IbI5mnMMavDwATmNJW6E8z9LqZQopYtikoEYIj9/JTqG+g7t0AmW5gMVhvn\n/C9gKi349XvZ32OpoPTbu365KyFgZeSVplUULCRn4P+v+zWOiQUHmMi1HGsK52hWsP5oHayWV8LS\nlPP+Wq/5ayv4v13C6l/SH63gIq6H/LEFDBrF2hbJgcZ+Prcx4elZDBDlU8lBJYAqJDcTd/xtSJ1P\nERQDUjdS1KIq8+k51l9ahxCmSlN8ZOFHmZ6c4Vd/51dIz6bJ38lzwKGzMdMhi4uLtOIW+dRxjcNv\nZWPupwzyRpSi12tT824aDxzafY7X28HkwzytqHnstbf6EHz04sf4V1/9FyRns0ef27tepZgr8U9+\n8x9RTld4dPYxnl+9TON0g3bcojfYY/XOXeJcQr6YZ2+3yuFgk+3JLaYr06wfrLF5eZORDw6TC/I0\ntw7pjfVI9hOSbOK+jDNY92QZGSHEhIBTHUR6d4KMt3CG7wWsxYZkpqZxYsLiCh3ijIu4S2NYtNHf\nZkYw+QGcwehXuR/G1ffEy5rwx1ZfrXsbOoT+NdU7JLH0PM5YCeggjcomzlAJbCLpo2F/fKmmlzHg\nCZg+ZIvjqccYVzOU8RTA5jbWaFLRqAAPSzgnGvt1OYUpt+9hTvCUP98yFhVVsZTxAZY+1NyVxVca\ns4fRCSQm3PafOcBU6OUwJzGunlKXYPSBFE69ZA/rTSaZrSymoNHGEK6Sk9IaLPjrHuO4EPI6RpjP\n4/rATWOqMjX/viqWIq5iKES1fhFYxIOhjlr57OMirYY/50mMB7eEA6h0/bk3sO7XohIIlDQKwbaL\nmtIjaYci7jlnFpZSXt4roLXWov1kh5GJUZIk4eDaIX/swodY21jlP7/0u9Sna6RJ0TxokR/LEwQB\nraRFppZh4eEF+seb2Zj7rYV99OLHXlfcob/Z8LtxPKih3fiy+w8AACAASURBVOe4fvsa+/njTm0g\nN8D+rRqT81NvmyNSKpZ4aOwhDtb26ez2yG5l2GvVSJ0Lj3Lln/2df8fkhSl2azs0u02ibMRh6pBo\nO2JgcIDG3gHBeEC+nKfX7lEaKrG5uUGST8ikM6zdWaU72LXmhCI2C0IuUqrqHMsYUVpQezAjKGi6\njH8RZ3CkJ6idtHbcg7hIRsTYYX+sKscjAfUSK2PqIv0q8JP+b/0oRn1e0YOQh10MaJDgjGXTf0Z1\npwEMSSh+lCSxiv69LQy8IcSddC0jP6cFf/1r/v3Sbexh6ShFNqovqnln0f//AuakD3DGU+AZIRBl\nSPcwwV8hQ6W5qQ4C4g3u++MvYnzBtl+PAtZSZ9+/fwqDtouGIachZybU4g3MccqRjWCR7gimb3gb\nq5MpJaouC7G/vpyf4wn/2fW+61UkmsKUaVQPFSil648t0eIAoxuIPgJGwFc99AxGAdn257jj37ft\nr38Ht2lQ9AlWp/NI3aAVMFmdYqBXoLPRJtqM3CZyN4Y6REs9xibGCTdCMoc5hnpDPPLII+zdrfH5\n67/NC5vPs5lfp57UCToB5V6ZVJRiujbDX/3xv8HtlVtvmYd2v7Ww77UO5P3W0B44tPscr0dwTO2m\n+NQH/hLd7c59PQSVcpkPXnw/j88/xdU7V+nOdY49iMu7d+ikujwye4HuQZfa3h69oEcxLhIMBLQ2\nmhRmCoTpECIoDZRprh5Si/bYbexysHHgUjGCTgf+R3269nBGTcb8IczRqSYiIMgwxgvaxpB/2g0H\n/lgxxwnXMsDancvwzmAgFCH91JajiTNuogGsYE5QtTJFIOIYTWIqEZKWuospiozinLAIvCl/LrWY\nafq/izyrms4Uxqdb8+c72TdfCRxvYfqROr6c8l2/FqtYjUg9vFQL6/Zdq2SUClj9bBCXnpz11yoy\ndMHPQ7UbtWnJYXWsJiYfpc+KnzeLOSIph4iakOt7n5B+IjpLhWMM45JJWb7j/76L1VKlRCJIvdrO\nNDGnLtHpfawum/fnkKOWskcB47ZFOCcrqTY1WBWXT0hEMP6aEI9gtctXsehSLXrG/L0S+CXGoVtb\nuO9FCNnVLDOjc2zW10kWXPPbYC4g2U1I2gnJTEI33+Vw8JDOfptHFi4wNjPON//w69wpLRFWQuqb\ndaJKRDM+ZCQc4WLpffz1j/9Nzp0+f8zRZLdyDCR5rm29wvXb1xgvjR9zbF+59iU6gx36R79Iw5uN\nUrHE42ee5Jnz7+fxs09+V4nbD0Ah3+XxZgTHi489/W0fX7WyVtImH+RYWDh1lNIsDpZ45tH38/DB\nI3zphd+nV++RaaShmBDlHDIjHaTpdNrEAwn53QG2s1uOC3MLKELYC4kzsTNUaq1xCvcF38Kacqog\nr7YeCdbnaQyrM93CFdMld7WIc1I1/9kmzimMYIZb/dO2MEShelMpBRliABKJvSpdJ/CA6msTmHPt\nYeLDj2EItRHM6XVwBn3ZX38bV08T1061skOc0U3haAiD/thqKimJrQTrACCVftXQJOq848+x5tdR\nVIJ+AIKko7RB2MaEns9j9SnB9QXxlwzZ2b7PC4V3FeeIpGLf8dclsviqXyf8++/6a5NYc+I/q15r\nJzCljioutarjqCv3LX88RXspTHZsy69BjDXxVP1LCERx+rT5ijDennrHKboWTF8gpMdxTlOAFCEn\nN7A+b3V/nJNYN4cYozpk/T0rYBufDayvmaLGE31rX4KIiLvtJeKnYjpbbVITKYJWQC/bI56OCUu+\nO3w7pjPR4b984/f4scrH2axvMFApkCLFVDBFfWOfdtShtrHPp//28RRhnCTUans8v3r5iK/6eunE\n92ot7H7HA4f2bYzvFMFxdX31qFYWBAHtxKGczo6dY2N5g+RcwsFhg1trNynWi8S9mNRQimp1l4NL\nh+Tmc0yemGRnbYdyUoJKQG13j16rR5Jy6typTAqaEO/EMAVBKiAVp+gN9tyXeAMDJEidfQ1nMF7B\nRXoyiss4p/JVjtezCjjj3fXv025ejS/hqB39kaajohEBJSSNJFh4HRdFSEprBmf45JiVqtMOPIUz\n5ooAT2IySnV/rg0/xxEMiq801/P+uFOYqLDoBHmcgxJSUNHoPlbb6uGcmojPOcyJrPs5TmCkXjkP\ndaE+wBlMdQhIYzwr6SOK6tDzcxGYp+XnqA3Iw7iNhoz7EEZEVwSqelwRZ9B1HQLzSKuwgXEBJdnV\n9n9fxjkU1QIFb38cA+ZI1USdxwWU2cDAFluYc6thGyQ58i4uihIyddSf7xQmICz5MdUUBSwRT0y1\nYT1nB5hA8qA/1oZ/vxrfPu/vSQu3eVDg4vmbcSOmPdkmm8qRyqRIB2mSBBjokUqnCPMhUS+CwYSk\nHtMoNLj13C0mihPsJ3WCICBXyVMcG6TT6TEZTh45qP6a2Eu3X6RxusHl5ed4av5pioOl1yAe36u1\nsPsdDxza93hcfukS//J3/hnVuMpoZoSf+e/+Bl99+eucefosl5efIygHRyinjWub/K1P/F2+evUr\nfP3Vr1EYKnDu3HmurLzEdrjF9MgM9cM63dUuowfjjDFGq9iifarD+J1xVm+s0pvrkQQJ8VZMnI2P\ntAWTXkKv3jPDJZDIKM4hFHCIOhXZ+xXupQO4iUuD1bC0nyKJNM7ALGIRzi2coehhUlvirM1whA47\nMlRgkZfEgYVGTOMcsXhJMuYdnMNQBls7fn2mgxkv1RXBlCOEvDzAEJxlnEMWiGbTr41I6UoXqv3N\nkl+rGcxozmG0hU0sdTvn10B8vQqGEKzgIlF1DGjhDK5Ekl/EGXLV/eB4G5V+yLtew9+DIax5p0A/\n6oYg7p+cyiAGcJnHQCCas8Ai6pQg3qGiZPHWlEaUFbrqf1/C3fMTmNalJKtKuGjweUxUuh9MpEaw\n0sZUR4Ut3PPXw4GTxBWc9PdnBuMtChyjaHsck4eTDNd437XpWtPuWEkzob3WppePSBESFxyJLY4T\n6CWEQUgmzBAkAXGUkGlmefLCRYphid9a/Q3CGStjxKsRF0++D41+dHUraRMEAUE54Pb6bR4/8wQH\nhw2++NIXqPX2jhCN309SWQ8c2nd59ENoa+t7fGH58xSeKBAEAXVq/PX/+6/zRPkipYsVnpp/msX1\n27TiFrkwz2OnHufiY09zZeUl3v/RHyQIAl689Dz5hTzTgdNy/MgzHyNJEub25klI+Pc3Xb+0sYlx\ndlZ3SNoJ0V5ENBJZXUciuaoXiPTaD/VewMi6Ugi5jvW/kthrHWfINzguJQRWSNcu+DzOSCmdNuiP\n08BEkgNciktgFXGxVM9TZ2EJ905hzRpfxnpfKcpYw4yXxHCF5lTEqd87GG9MvCQ5SnWPftzP+Vmc\ngZfTGsD0JBdwYAipoIi8LcRggAOXSMxZKbVzft6qUalTsgjsT2KOp+Hfv+bnrhRqyZ9bNaohP495\n7N5K4FkdmF/EGe4hv55g6ibazJz2x1eEuIVRATp+nqqJ9ZO0BceXYscNDFwCRjuQColqk6dxrWwG\n+q7Hp8+P0rKqAU5h4sXayAh1KmdexaD2ivQ6WK1XdIol3HdDlvIV/3vHz1GkeaUzBVZJQ1TtESnl\n6QFNQTegW+6SSWcI4oDsWpZyocKNles8Nf8+TsVn2NvcpUOHYrbAZHGGn/jh/waNfnS1JO+CIKAd\nt2gc1Lm09CzDhWHq4/VjKcjvl55oDxzatzneDsfjXgjtbz/7W1THdplpzZAdyBEEIamHAp770iU+\n/OSfONa0U04Kjj/U2qUBR1qO4qV88pmf5DcvfY72lMvRZJIszWrT6h/afcu4qBZUwkUCK7iIoYYh\n02QAyrgv9EOY6kUH53yk2KF+YErHSdJJbVT2/MJ0cM7gJSxtKJHYNZxhk2KDOGHqR7WDM7DjGO+o\n35A+gUUpcpwihDcxbcBVf02Ci6tBqHhpQuGd8J8VR0oSWxWcIZOAcx1L2YrE/AhGA6hiqSo1spzw\n6yuKQQrjtjVw6a19jNMnQWKpiKiGl/LrJh1KtYRZwrpni6cnoI1qcDUsmtT9Eor1BhZlC3mpeeHf\nt4TJfSkaHMTqTQLJqGGrFPAlBCwCuqTM5IQEuJHw8wKmqBLhHJ5S43VMe7OEgXcafk45jm+GpOYi\nJKuUP4S23cCQnLMQ5kOSbkKykxidZM2v3wVMTcWT0MNu6MSK913XC65DVIpIV9N0M10y8xmmH5mh\nXqhTbA1yIXeBVClkujLBB85/mIkx7SqO18QWFk5x+eYlmA7JhXlurd2EBiycdRIy3ynS9bt5hN/6\nLQ/GGw05qLtDy9TH69wdWuaXvvLPWdtYfd3330vGbtEiLIXs7e0dvScMQwpDg/RWek5/ESzvfdHl\nvcvpytHf8kHu6N+5MH/0/nK6wvTkDH/rE3+X9CsZNjc2GRgacEKpq4n7si9jiMIqzvi+iDMaSt0p\npQcGfxbKbQJzhEoxrvkfqWVI0LaB46tJbWEX27kqNTiGc5ALWPdpcb+6OKN6FuscvIEzaBJD3vNz\nOIsz4v0dA9I4wyO9vy1Mx3Aea2nyDazQfxYXgYk0PYulKQXTV5fiWQw0I6RiCzNs4oSJXiBumRzL\noT+PHGIBZ0Ql6yQh4TqGyIz9vIsYrSLwnxeZW6odagNzxa//MsY1E8AGrI4nEWRFt3IISxiychbr\nWycw0QIWyTUwhZI9v+6rOGe3gXXbnsEU9Kdwz4DEox/BOYkBjOOoOtxdvyZKsSr1qudZvdy0/kKf\nqsY6j3VLV/1RmxNxH4WKFYApgiRKXC06j4vYXsQccNetV9gLYQaCwQB6AfnRPOlHMuSDAXKVHKn1\nFIO9IpMPT1JJlbm9fotnb3yD5dQdCBJ+6hN/jU9/8tPMTB3fHH/04seObENppMyTZ56ieL3EY8Hj\nDKwM8NTZpymNGCHzvaDu8U6OB7D9b2O8XY7HvRDaxRu3aA21oAulUtnlwwOYbczx1378b74hB6Sf\nMlDIF1hbWiVJEi6cuEAmkz3GS5mamGZ7fZtatUqtsU+r3KSX6TkjpaL9JLYbFaE0hzM8KqIfYHBy\npVemMG6WQBqqs/QwxGIP55RUY1GNSXw1GeZ1jhOgRzCNvwgTxBUvTLB4paZKWFQg7UkpSggxKcBJ\nHmcw1btNxnsZSwnKIUzhnGu/UxJ5WcZVPDvt/DUPCQGraaWaZ0qlfsjPVdHQq/465eAiTE2+h3Ns\nwzjjeguLPAf83LN+3cBqjLf9sRYxsvBprKalOWuzoTYriiAFTtn3ayH+YoJzakIKKhJW2llgE3WS\nvoD1NlOadxOL/OX8JSotHp0AG1IFUaNNAUgafl3kfCVlJsGALG5zsIpF5+IO1rBO3wIwqYOB1i/r\nr+kUxzcrohGc7LuvvtYXxiHpMb957bg6V5hOkU1nGTk/wsjcCKVemeGzI6zvrJMbzxFlIjqZDovX\nF/nhhz7CxPjoa2zhvfywE6l5/uf/6qf4sR/8OPVGndZw6zWIxonO5HdFf/GdHA9g+9+D8Xb1zu6F\n0D71+Pv43ec/T2rchUBJEtO7lvCXPv6X3xRBeYwyENWYnphl/6DGjUuvEsQcKyIDNHr7bO9uE5yA\nwu4grZWWKVi0sfqIUHyqGZVxBfoP4IzEMs4ASX1DwAPJSMl5aEmk0CMQxwxHXXxZwxmIHM4wLWEp\nUGlGql406n/ucqRaTgtXQ5LA7yputyxDKgcl3hN+vvs4JyJpLdWRJN01jCHadnBO797IqomlSwV4\nKGE9xCKcobyGqVPsYxGJZMHkhHK4SDH2193FGW11EVD3gAUsIi5gHMGMf18B05WUxNaE/5tSudu4\n1KickdKqh5gs1YhfTzkeoVBFRh/xf1vy8z/EOctJv2bqrafWN+dxkWF/SlvrfcWvtXhgAvvo2enh\nIrwJrA667d8jHt62P46AOVJNEQ1kzr/Wr2yi61aGQohHbbCkbypgCNiG7AB7tqRKMo/VWYcgakZE\nvYh8c4Ao3SOOYkICOq0OjVqdueGTtKM2u/s7ZPJWaG532ux3a/xv//rv8F9/8Mf5wfM/dCzlCG+M\nrv5+QzS+3ngQoX0b4/XUQt5sR3QvGXuwVGSkNsrI3iipWprp+gw//2f+HhfOP3Hs+u9V9R8vjTM9\nOXNEejwxNseXbv9ndss7VDO7XNr5Jr/ztd+iul4lm2T47HP/jrXMKvFYTDAY0Fhp2O5bRfBN3Je4\niUlf9XCGTRKTag6piOMQi0QyOMNS959fwJzDKgZtVy2uiNs1g0k86ZJjnIERUCSDqYTM4ZzRCZxB\nPMQ6WUtlQrv8fUx5pO3nMYo5q2GcEZb8lWpigm0rUqn7zwmWLmTeTf9Z7dbL/rjqgiynGvpzjWNQ\n+TZGyJZWoW8OSQbrDybiuNKIktwSN63V91lpYsqYC7ofYanfKUy2qb/ZqtYxwDkKdfuOMMcuhx1g\nSMAT/jji2KlPnupRIe5eb2IpW9UfFc0p3Zf1nxPIYh5TGVnpu74hTGQZnKNUbzO1ylnAWvZs++NM\n+PMotaieZXKuu/4zSmPuYyjWKX/+Ab9mYeCdfkA4FULHKYSobhzWUuRqOXIjebJJliiOyOxkSGXT\nFMYKtDpNJqNJ9lb2GD05SjqTpt1ps3Z1jaGTwxDC0LkKX7v8Nc4On3tLpObvtbrHOznuN0ILEhVg\n3kWjWj2g14u/9Ru/x+NekId2RG+mk7a2sXocQnvRILTpdMhha4/P/t5/oNreO9Jv/M3rv25abLs1\nbj13k9PjZ6jVapyYPsELLz/PK6WXSfKOn5YZytLpthndHCV3mOfhH7zAN7/xdeqFOr1uj+biIdFC\nZKoTknqSgK+EWdO4+oCAAVKZX8eaJUrhQkTYXZzhEnovwRRApM+oYvy6//8tjCOU7Xs9whkitay5\n7c97DaMEyOG1cA7mFM7piP+1gqlEqE9Zxl/XJM5QqTPAbZyBFarujp+TaAlSo5dDEQx+FgNvSIdS\n9IcszhkoylFdScTgHiYiLGOJn59ay3QxlXjB7aUKsuyvQ4b8rF+Lpv/MlP89hvVTe8i/RxFH4Ndp\nCodcHcdSfnls47Lr37OAST01sE1MB4csPYs1wdzx92gR5zT0tdjBOX09MxncvRXo4ySmFALWGbyC\n9cUbwD2neu0mRowXUvQ27tn7QayfXYwJFX8I55hm/bkloCznWfTzmvLXoOitCoVegXbYhkmID2Jy\n0znCbEi0GTNYKbAwfZrGUoPubpteGDH2xDhhLqC6V6W72uOp3NOcmT7Ly72XaCVttrc2yc3nyZaz\nDG0P8YEP/QCHh21md+e+b0AdGul0yPDw4Nv+3AOH9m2ON3NQb3dsbq/zq9/8ZXqjCUnior3nv/ic\na0lTLFPf3efyzUt0hrrsbVeZnJuidavFjVdfpXO+4/xHOiE+TMiVs+RW8hRLRZIeZHppVlJ3nVoB\nMeFqSDwRQxOSfOIM1CBmKFTkl4agYNlZDKkm6P44zgDM4oxTfw1HHDSlKvWanGgeq71c4bjG4RTH\nm1KO+M89h+3QpRShtNwo5hjbOFCA+n91cG1LpDghYVw1wpzAEGq7WAruHBYhSrxX0HU5ONX9DnBA\nkrt9x5vw69Pzv5VOVS1yGOcc1B0649dGiLs6Fo0KFKGalhxdBefAK/58VzAB4x4mQn0T450F/txL\n/v/DOEf9IiberJqpUJ5zWDPPBb/W4uxlcU4ijauXqZPCMpYuVeQswvV53LN32q9J1V+3IidpXSpK\nHcYNCS5rowTuXs9hKcwmzrFexaFdu1htNIsDAI1gKN1TGLjI92wLugHp4TS9Xo8kkxyJLGfuZhgq\nDdGaadEZ7hClYuKNiCRICNsphjeHmD9/kvROmnx5gGAQSAUwEJAP8iwsLDAbneCTz/zk0ab42Rvf\noDXQIlmLefrc+5iYHaPZ7FDcKPFXPv5X+X4a9+vQHtTQvs3xTqqFfPHy58mcyBC1uuzv1FhcvM2t\n+k3WvrzKH3//D7G4eJtgOmR/vUYn12Frb5PtzjYH7QapfIokAtIJUTomXo+IdxLCg4Bmt0V0ugfN\ngCAbkE5lCEYCTmxOsR3u0L3bITgb0MtERFd7zlBkccaziGntgZGU97BUYYT1xJJxEBx6BmdINv2P\njtvxv7cwWSnx0J7CGZR1TElCdZllPwdJV3Ww2osiMKUAJbUkZ9bC8cWERitgpGmRsgVO6W/eqSgm\n4DhfSpqKApwoDdjlOEFbMl9q99LB2s5M4iJOOTwhFh/x66m2KllMmDft103IPqllCGF5FdPAVEpR\nEP9Rv37qbyZov9KCXQwRKsLymJ/rEs6xzOEc4yAmKxXgnJzWfgVTHen48zRxDmXUr40i2ghTlili\nvecUTamJrDZF6hAuNZBX/PlP4zYGIS5SPIfxFaUUIqd2gHUiV831Otb2pwSl6RLdWpfuo13CZkjU\njY4Em1MLKSZGJ3lo9mG+svxltpMt4sEY7kC2nCE+nXB3Z5kf/ciPsd3YoparkazFXDzlUIhJklDe\nqxyrh7+6fp1cIcfCmVNHSMVvJVN1P61h/iiPBzW0d9H4yrX/QjIUUd2s8tyNS7SnOhyGhzQrTQ62\nG7QaHcLRgJ3qDvXOPq1Wi4NGg7gbk3QSGIS4mUA9IdlIiNMxUSqmuXtINOt3j8UQulAsD7K/uk+7\n26JHj5CQXqfnDNSjGKpQ7T/2sO7Okma6gAEtwEAK/Sg2KZGrDY2UG/CvTWDq8eKevYozdCLhSgz2\nAFPvl5PI+eOICA4WCQRYj7B5nGNQ+xChBitYXUa1M0VnKSzNKECEuG9lLH0pw3vHr5mQfarHdDBI\nv0RtZcQlGjyJ1aNqWPPLXQyUkvfzVCo0xIFJJJy7gUH3FRmKx6Wa1ob/nOpcAv8okutHKWotBdZp\nY90EajinWcTEgkWSTvlzqz1LAetfdwLnnBextJ70H/vVW5b7zqt+anK2SvWq1ia+ZB0j/gsMJISk\n6sCST1vFsgUpTNlFNc0IBrYKTD09SW2nRkREMBKQGclQ3C0yNDtMt9hld7FKLdqj2+xCF5KthHgv\nJt6NKTxWpJQpc2rqNIu3FqnWd7lz4w7tgxbZao4/8+E/R6lYOhIBni+f5MsvfInN5gY76zuUCkWS\nTfiJH3h9JX2VPBoTje9o9+rvxXiAcvwujO/0bqiSqbCdbHDrtovEgiCgMjREdWuXYC6k/o19SkmZ\nw51DokpEUk6ID2PCckicjQmvhVCP3Zd/HsLhgFa9CQ3HPYuCiCiJIIHqbtXd/bPAOnTLXWcYVPeQ\n1NI0VgdbwzkFoRzlNApYmlEIuBqm6j6Ii8ZEulZ6T3UgtSt5BauLSNx3APi6n4uirGU/b8H2Rcx9\nDrdLl7M59Md6CJNnijAVe9Vi1OJFTkIqG4omu7joagAXGZWxzsptLJpTGmwTk5oS8Vm8O8Hmy5ja\nyJifr5qrzuOiNqX98Od62f8+549bwRlmqV88iQk4q5v2KY4ry89hxHPpbqp3WIbjveikjt/ExJpP\n+DVRJHwDF61JrWPer8katskQYGbJz3sbi+Dzfk5DGHJ0F6N3qGWL9C4lGqy2R9o8CTIvRywpLKVp\nJX8lkeEp7NkMcI4+6+e/DOlqmsHhQVr5NgPFAZqHTVJJCrpQKBZJh2mqrV3SSZ14NCJqRG5TWQhg\nDNp32+ytVNkfrJG0E4Kuu4ZooAeVgECyY36sbazym9d/nTMfOMvShmvkef356/wvP/p3juk49tuf\n5ZUlXslfoXOjQy7McWrqNIOzxe8rIvW940GE9hbHd2M3NFGe5PLVZ1ncWyIquic+bIZcnH2a+DAm\nW88x0MhTD/dpDbYghHjZEZjC6ZBwN4QQkgsJQTow2DG4yEm1oDwuvSI9wbz/Lacjwz6LGWYhE7XD\nFxRc/CnVMfqFe0X6VXNH7agVVckgScFcEHQZYXHZFOWJyF3s+1FKK4eLFNXgUeojEYaGk0pE2p9L\nvb9msKhNau57fe8XWEO8pqafc4KhRIWkUwSoSFTaiqqFtTDASBdDEMZ9r0kJfhoDTkjPcQprZ6O5\nCQyjGh2YtFXTz/sOhmIVUrLk16Dhr1tl6zncpiHAeG8hJju2ikHXSziV/mncZkeyWwe4+lgOQ4pW\n/fHP+vmdwt1XdWAQ+VlNNB/FNisCLTUwpyjBZ4GWhKJUjSzAUs897PlTZkBAJ3HubrtzBxsB46Vx\nDroHdMba9No9wiAkO5QlzKRI7YWkyxmajSadeodm0CTpJm6dT0MwGpCMJLCTkA8HCNrQm40oFkpM\n52d54uyT5Efzx/iq4rTmcnkmRiY5MX6C+XNzHKwd8tjpJ15jf1aju/z7L3+WYCaEArTTbdY2Vxkt\njJJtZ79la5h3+3gQoX2Hx70qH98JWZmZqRl++mM/zdL/uczKwQr51ACn5k9RHCwxOT7F3Mg8H7n4\nI/zF/+PPEvdiOgdtBkeLHHYOSdYT2o0WSTohCAIyuQwRkfuiSah1HePoZHDGQTBsIQknMLV1EVAF\neFCKpl9Edw5nKFTrmMU6Sm/hnIXSPTWcoZvH6j2qj0i8WETXPM4oSXarjdVFRAOQQVc0qBoUOBCC\ndveqdR1iRO0xLBW3gonmDmMK7yNYZBVh3aUVebT8e+7ijOsgVrcSevQpnEJKHmf4dzF6g3pxncGg\n7IpEe5iOYL9jVT1KqUp1cM71fU5wfzm+Qb+2ohDcwQjX8/6a9zFpMdWxBGaJ/XGncaAPqWfs4KJC\nPTsBzlld8vdARHxpb074a1Uj1Tbu+ZAklThfBVzaeRPjjpUx/uKBn4sk2Cr+HiTYhqmBRekpbCOm\ndjfq7/f/s/fmQZZc13nnLzPfy7evtVd1LV3VG3oBGgAJAgS4YDFXUaJlhcOSSdmj0MgjKyzH2DEy\nJY4nJkaWQiNRCo2lsGUpNNZQpCg7JJKiJVm0RIkbSBAA0TvQW3UtXfv29v1l5vxx76n7CmgQ3SBI\ngmRdBKLqvcqXefPm63PuOec73yfOUEvP2B2bSCtCSrhkJQAAIABJREFU9UCNbrcLKwF23MbyLbyS\nh12zsdMOxe0inaUO7VqHoByoe7mbXYtqh2zIQ7fWoZlV9HR+2efghKKlejGJ8NL2IlZuL3GTZVmU\nO6qn9cX2Z359DnfApVgoMBRTfWp22ubG6g2O9R3n+3XsO7TbHLfbRP3NpiXHRsb4hQ/8H/zeF//T\nLRskR4ZGef+D/4C/rP05TkYVo6rlCgvzC4SbYbyMh1/2aafb2JZDYAcmqhHZFUGqiREBUzOSuobU\nIiT1JjDvNoZ+qomqhYQwyEPhcBQRxWuYyG4aZZBewNRCJlAGbLZnEa5h2gbApDWFp1D4+SYxO3KJ\ntoSQViK/PHsbjlcxbQHCxLGFMpCiC7eFiRgEVn4C5fhEVVqQlXX9WXHWkt6ropyqbAykyXdQX7sN\nPKvPcx0jJFpGORxBQworhdBFZVBpP3FYgsgTZybrIRuC3vRuoOd7EBWhz2DqbhLpynFxfS1pKJdo\nP6bnGtFz8zB9bOJAJTV7HpMOvAvlSGTzlNbrLM5Qoiipm0ZQGxfpd5T1lfrZMYwMjmw4BPIvGQKR\nHZrBpIiX9H1Jq0ml57gSxAtxYpE47UaLcDOE5/pQh0Q8TveGapauBhU6Xgf/iI/T5+BdCAgywW5K\nNGhD0k2QTmdIr2XIVjMUi+rmL6+8QNAOKHWLDMWHd0mEz104y3R+hnTeAECCICAdVq9fbH9afovs\nSI7N65sEI8GunWgs1Xn08e+fRuoXj30ux9scvfyJMl6MQLpTbseXG6PDCvk0UZogvZlmvDixp7ft\n77/1Rzjl3E26kSZSj+AVfcbdcdyo5nUsA2Xwi54ywnMY+igPg8JbwBgyMOCNNEY0UwxkDcPmEcGk\nwVKYiGsNAwaZxjAwpFHGZF5ffwRlVCUqek6ffxJV7xJuPQ/DyycORPS9BlGOb07/L/B+oZO6hnIE\nYvwFxBDHcEmGMCCTdUwkO6GPv4xygAJNl0ZiAS84GAomoUraxCAhBfEoKcmCXgNBHA7q43J6Psuo\n2lkJQwrdxrBYOHpdM5heO1DP+xKmRhjS8+7dBEjLgaA546gNzhQqvSiyKx3U5qLB3lYEIQqWlog2\nhhpNOCiFKV82BP36/If1OaSOCYZNxkZFXst6zot6DaTt4ixG7iWCoWbbxKRnJVVZ1ceItIuAdwp6\nfSUi7RVUFVDTDfXTq3kEns9I/wjpTAbLAyfp4MQcYgdjJE4lSD6cwn3IxW8E+E1PPZMtdY92x8Zt\nuFglC6tj8dixJ/iZd/9Lamt1WpkWrXiLxfoC68vrDAyrL4BlWczcd4gbZ27s4W/tLHV47PQTwEvt\nT8SO4KZdpjPTZDazuGsRMusZHp96xz7K8Ts9iReP12MN7cUsHxI1CWci3Dm344uH5I2bzQ6JePIl\n8ufCGPKlS59n8cYiXtEj0UqSqMRpeA2WV5fwBjz1j1WUeQXe3sQg7MCgyoTgt4YyPllMf8811LmE\nA084FKU3SGRUbqAMywn9+ZQ+Polhas/r+RzCNDKLunIZteP2MekiV19fdtACyy9galp9KCcrwION\nnmPX9c9xDJOJgFmqKKcqO3WJhsBQGwnrRwRlrKSuKE5CeCHFgK/r6zf0vYgsj3BcHkUZeGHut/X5\nBa0nqUEh/W1i6mc1jGK4pa+Hnos0n6N/v4nh04zrcwvVkzgjESmVBuwhVAQlEjJFfS+CXpVG8asY\nYmKJpIoYZ9ZBbQJKqPQbGH7IfowTkh64MipisvXziGMckaBCXeB+1LMWejHRhUtjdNo2MW0CQjyN\nPkbIpuUZdvXPm5h6cBKswxbhsTCBA6VKCXvKwR1w6dgdSpdLtMtt6s06rVoL27Hw+wP8az5Wy4IC\nhEthggi4CZd8to8+r59cLE+pVCI1laS50iKoQH2xTt8hRWo5lFdy3RE3whDDTNgTUIGh7hD/5LEP\nks8O4PvBS+xP3I2zfG6JU/fczcT0JKMjo+T9Pn7sLR/4rkc4wn4N7Vs+9vAnvoxQ3p1yO/aO1fUV\nvnDhc3TCTcKdKG87tffcEv014nXOFc7QnulQXC8wlBlmc2GTDW+N4FSgjEIfhqduEqySRbAWqB4s\nD/UPvx9DpisGSOogFiadl8P0G4VQhl+cjEjZx/T5Yvq10CqJ1IvwFwpjuo2pa833XFeAFy7GIU6h\nnJYQxfqoaCSGMlZRlFM8j4GF+yjjt4Qy/mkMYm5Vv5Z+IwtloOcx2mfTmHSsKGmXMelL2QwIZL+F\nijizqPSh1IckhXZAvyc1okFU5DHYM69BzAZAyIZdDIFuVp9HCKUFSCOKCEJXJtGJOM0qBrEqPVga\nvLDL6iKtGcJ6EqCcyA19HqlDWhgUq4CGbqIibAGEJPUx4mzESdUxxNLSdyc8iKJQLak/AaXEMbUy\nMG0DwlN5GZOyTmPqgJaes6RTBSAijlVqlWmMRt4wuLEIdKBT62AftmiU6tghh06jQ3ukjYtLMBDQ\ndbt0lgLsqg1hC+uwTWQwjLMawqpZHMkcZSAYZOr4FMlcirNf/DqH33aUU3nl5S9Y5yilS7QaEspr\neajcxG5PqzQWFwoKtvpi+3MgNM4/eN8/5IWVS5Q2v/eFO2937Du0Oxiv1ET9YvJheOXGSDDOyh0P\nE49HqNc3d4X55Av6yS/8CS9sX2J+aZ6mq3aJoaEwm94Gnb429UYdArDCFkE92INgC2qB2oG3UCkd\nkeaQ3i9JHaFfdzBFf2Eel7SYsH3MooygpL4k3Se1Ih9lOCS9NqvPIxRPkq4sYiDqFqY3q4QyXMLD\nKGnOPMYZdVEO6xmUcRfeRmExEbmQXr0ruVe5d3E6ch8HMH1fDspgnsGQBd/AGE3poRLWEnHSYFKb\nEpVKSlbQm2H9fLb1e4I8FAcpz0KAEMI12EA5jyFUCq2q57Ok5y5Q/hn9+XFUpFvGoEWPYepdMmeJ\n4LbY7cMij+FivIkhiJ7CRKdCeyV1QqHY6kW7CsXWgj5nQa+JOJoRTGQs7SAuRslBNuryPZCN2FE9\nr4peD2lel57DAgakJHRYonsnxZYSu0jMLh1CoSgBPlE7TrlUwkpadCodrKxFo9Agakfxuxb+AfCf\n8wkfDME2hGohXNcleSRF2k1x6riEqBDYyg5UCxXm5+co1UqsfW2NiYMqLXC7JMK3sj+nT973DT/z\n/Tb2HdprOO6U7VoAJH938XMUvR3seRs3E8bqhpicnNxFUK6ur/C5+b+me6hDrV1lp7uNt+kRaUWh\nD0KREAknSY0qVt0CB4VuFCSdODdh1z+CQboJlFvY5wMMuKJXy0u4C4XXT+ivQBmLYYxitDRfS+mw\ngDKiIqgpKEZhbJjpuV4Vo80mishHMA5AiHYT+h7EsUiGuoOJdIT9XFKvArAYxjRDC6JzBeOMYpiG\n7A09txSGy1Kin3WUcRdyZwFdzGBSr0/pn5Ge+5G06jGMwZeIT1KpklYUAU1RBNhAGfEsyhkKkOQu\nDIXYrJ6/i4HlS+8YKCNewqAkHYz4pjSTlzCpXCFAFqWBi3rem5ia6KD+DPr1uj631Ge39boMYNhO\nhKBYxEDlu1PGgIREHkY2IILuzGJqgkL5JTW8EMqxSTtKoM8hrScLmKi9BxjlBz7trTZxP0GpUsRO\n2lgpG8u18NsBftWn0+0QckN4XY9uu0usG6MTdMmP9EEJvIjHje0bHKsdJ5lIEQQB90/cz8Lzi1ys\nnaeT6FAqFGmHm6w8v0KFEncdPLkfXb1GY7+G9hqOO2G77u0rubz1PHONObYT20TzUdqpNmuLK+SC\nHA+feiufefJTLITnqHQrbGyt0U60CXIBfsEnCEGk4RJNRwna4CZd/IqH3/aVERpFGQVRA65jKKOO\nYxql1/R7kvKqogyS1EYk6sqiDKqwMUjjr7BO7KCM4xoG8n03pn4jvV4iWSJiig6GMQIM32CAYbEQ\nfbUljErzMfYaUvQ5JS1WQRnmKiaiEEcuwJOSfi1SLwI0kL6yJYzWmvRZgYHPS11HUo/Cxi+Rq4hG\n9jptQWOK3teWfk5goPWiGyctAK5+XdLHCDG0bCh8VHQkG5MsBrUqEWMbFcnlMf1h8r3oYjYJEi0L\nQ8qiPkZkf8QhNDGRszSRCwfk1Z5zS1QUQqV3S5jIVJq7hUJsBYPgFL7Ogl6rNYwOn6RZJRoUirUl\nTJN4Qd+/aKzpNPwuojWB6atrQzQVJZ1KU19pQH9AOOritbtQDnC6Dk44RCSI4rZdrAUL91iEWH8M\n4tBptfG3A6KpKLbnMJgbpLvc5Uff8kFWV5dZai2ysrqCPWIzMDFEajpFbb3GP3vnz7zERvTW078b\nbeE3O/ZraK+Tcbvcjr19JZXNMtakhWVZ7BR26B8cxBqxWZpfAlRtbnpkhmtnrhLti9EoNAjSAQQQ\nyUUIVi36EnlG+sbYaG6w6i/T2e4YBGMBZdwEKLKFqpGIgU2jUlMXUEZCUoJCddVG7WptTEOuOLir\nKGMtxlJSjxMoQyL8eBJF9fZUpTBz7MPUr+Q62xiqpUEMGOM8hgVEUoxTqHSaMEWEMRpd4iTFCFoo\nB5/ANPDm9PGrqEhC0KCrek5SsxJ0p7DcFzFtDKI3JiwWYQxC8HlM5BvG9HIJEvQ6qjaYxrB8iECp\naHaJk3YwjlWiqbOY3rlAz1eajvtRSEOB5YtaQlSv/wVMv1cUI58itFDSg7eDip4uYjYhExiQh62v\nUcE02zdQDkQi1HM970nUWMA4cKGfGtLzXMZEYBWUNp9EjtLfJn2QUr89oO8zgeGiFDqyNX2fOs3q\n7rgE/RDM+8QGY0S8GO16m3gyRmOzib/lEffj1N06VsommoySTqaxr1vc+877+frqs3gZD8uycAZD\nOBdDjCcnYAnVN6ojLytuEd2OMXpybE9JojPc+b5m9nitx75D+w6Npe1FLs5doBm0aNQadKtdwqkw\n3UDJLweVgLHRA4CuzcXL5Jw8lZsLhDsuzaUGkVaERCrJwOAgJ/pOMpmaZKW4zP/31f+sDMJhTEFd\nIidpKJUCvNSLMmD12QQR1XdDB2XoJBIYxyDyBFiQRRl/0dIqohyDyKKIMxQnIjt6QakJUW8ZQwsF\nJrJBnzeLaYiVGsoCJm0o1EpVTBQhsjLSUC7zu09/RqDtk+xGWLl5ODwP0a9A04FrGSgcxkSpV/Tx\nUhe0UM5QNgZNTP+cqBZc19c5jGH7uImKLCMYguBJ/b5sxoVlQ8RIbQzVWBFlpKP6epJ6lBrhKAbV\nKRsWgf2LUxVZIKE3S+lzzGMaxgWev6nvQWRdhN5K2hTa+n1pvpf+PfmurGAsjaPvSVg9pM0ijnJ2\nvQCWfpTTE6WFFf0sJXLcwRAUh1FOeBNT14thWGAkYnVQGyJbAbZiA3HSTobU0RSFwR1Gx0Yp3ChQ\ny9doFpo4iRCZTJZIJUr9yRr2ukXgBYz3TzE4PsRB/yA3V5fw6OISYWBwkDc8/ADjxYk9TiodytD0\nmy8BjUWd2G2BxvbH7Y19h/YdGKvrK5xbOUt1WkP8i0A3wKk5RL0o6WaGyfEpxjuqaPzY6Sf45f/y\ni8xdmqURaYAPruWSSCcZSA8wtD3ERHICYrB6ZRUrAtZRi6AbmJ10HypaGsakcmRoAIRVhejhGI3l\nhkGSSe/RBoZrUBhHpjAw7KJ+Lf1fki0IUI3UR/VrSa+F9Xw8jKMVaRbpp2qjHEIXZbzAIPokwhPC\n3yzKeAm9kYhNSlQaQhldYRQRQtpNmLoEj34W/reiKkXJeMGCX1uHvzsC80MoY9uHckLCbSgRotBg\nSSTR1e8JfdUllMEVsIqNaY4WDa6WXmfBE8QxZM9CH7as1zmO4dfs1/cupMSrGMdnY2D4CZRjyOvz\nyD2JuCZ6vY7puYhQ8iAqwoxgHJ2kpgU9eFm/LwAZaaiXdC4YoJDUbaVJWtg90voZSX1PdN4kuhds\n1Tn9/NaAN+jrSa1O0K1gaqnixOU8UXVPmUiGsb4DJMtJmqtNRk6P4LoRsiM5WqstUpk0jaUGtm0T\nW4wxeHiQ5MEU903ez43VWc5cf44jY0dpRlvYaZsgCMisZ25ZN3/s9BP8xXOfoTXc2nVqftlnanyK\ndOcbg8b2x+2P/Rrat3msrq/wyx/7v9gMbbA+v0Y45hJNxagX6oSDMD/wpvcy0jeGtWHv9rjNzl/j\nd/77b1NI7NB1uzAKISdEKBQmvZlh+tg09rRNO9Hmy+tfotqu0G50TJNzE7W7laZbQTb2YfpyZiGw\nFYgFDxU1ZVARzTDKaG6jjPVhlCHOs5fZvKGvIeTCZYzO16r+Oac/ewzDbnEMg2pbRxlnSRMmManK\nLGbXLWrCxzFqzH7POUBFjxFUCkoMaT8GPFCBE/8D/nQWfqqpylG9YwD4oRo8vgRf7MCmRBIiZlpB\nGXBh5hDeQKnxCWRejK2wtQhlk/BCCiS+qH/O6Pvr0+ujm37pYBB+0jsYQ6UDBfAjqckahvR3CuPU\n1zF9cwKVX9dzlChMCJkFbSn0Vb2Rm0TDA/ozlj5fQf9tBpP+FTYVibqTGKow4YSsYMAhkgmQ3sUw\n6nsjUbcIpgo4SRx+b0pZonxJYUp0qmuG7gGX4fAI73vk/UzMTFJfr9GhA0mLUDREJBSFGz7Tzgx3\nu/eQ8JOkj2Y5fuAEyUSKRCTBamOV+s0aoW6YjZsb1K/UeGT4bfxPT/zkS2piqWSKmdwhnnn2a1iu\nRcJPcmz0LqLF2J5eVhn7NbT9GtrrfggQZG1oFSthkRvJU7hWYKhviMP5I8S2YhxoHSDcifG2hx9j\nZGiU1fUVfvWvfpnS0RJu3CXkh/CWPEiDX/JpNGtkj+So1avMrd2gUNuhk+rAWmB2wsKfqNkhrBUN\n7Re4ewMVQcmO9jJGX0r4EWsoR/Y8audcx3DjaY0odlDGUWD3GfYS64oj6MOg78YxkaAQ8l5CGU+h\nLCqj6lRg0k6HMezt6Gts69+lRrSEASXkMGwZ2olPPQ+fWIZTr2AvTvnwiVn4wRDMC9v9sl7TFT1n\nAYJcxBAsy+ZhC+P4o5goQuDuwlPYr4+V1gKp90gdbQuDOBQNrygGjSqtF9IoLmoCkhIUzsmLmOh2\nB9P0LJ8XByvPJKbXdhjjuIXZRWD/Qg58DpMe7urzzujryAZAalmSGt3Q55GIDIyDTqIc+jYmRSkE\nzA3UZkXSlpI+b+u5XtHnzoPt2LsUWs5EiGwiS6imvjyWZRFJxLhn5iALCws0/SZpK8Mb3/4Ax62T\n/Ng7P8h//IvfojIgpKSQTKQ4kjnK1y5/ldGTYxwcnGZqaAqv+CIa/Z5x+uR9/PrAvze9rJ393rHX\neuw7tG/jECBI9EaUNm3FDnB8iMhshEgyQjQeJRPO8OCJtzLYP7z7mc5wB6ugoGe27WCN24SXQySS\nCWgpotMzi8/RCXfoOl3atA03YwO1Q5eaVw2CwUAZt3tQxu00BgEmApvP6eMFFQnK+Ej/kmiQjWDk\nUYoY2HkMQ8Qr6sMxVP1CFIrlnIKGFCWAQUy9LIb5lkoPm2ihSToUTI1MYNoJfd/S17Si5yJyNRl4\n9OIrOzMZp3x4+zL8gUSMEonG9P1IGrOFylsuYpzpCMoo23q9pbldao4bmN66BMqhP6wvvIxafxHZ\nlBaDLsrxSSQrmnUCu5f2iggmRShr+mZMmlTaAw6h0ruyEZnBoEelbiWAIom8mphIuauvL833UlMU\n1hqZUy/7/nUMwEXo0yS1WtTXku/UACbbkNDrfkOfW9CtvanxJOp7VATrqkUkGyGSjWLFLCIDLnbX\nYSSjPijQ+sXNRYKUjxVAYPl4mx6PvkOlDm/VY7qxts7Bu2e4u4cFKEgErwjy8IMA+W9/vLZj36G9\nivFqCYiFSeTg8DRnFp/DTtu0y22WS8uMDIwwc9chFtOLXPry7/JPH1Jpi3K3RNSJkowk2enuYIUU\nGtKzPPyqT6gV5nNn/4ZWpEm1WaUerxnHcw31j1wg0UmwyhZBMVBORLjvJNsh8iQ+pt4Qx+yIxSgJ\n5LoDfA1lhAZQO3QH0y8msHapY+VQ6cWLKGLeFKZRWRqXhTFENM0EOSfijkJm62Mg16Mogyp9WpZ+\nT5xkEhUxFVAOAsjtwL8R/a3bHD9Xhj/bhsI9+lzStyUgGxfjOCV6GcL0uB3W63kFA3YQtopRDDFw\nDdW/JqwYD+g1dfU99qPqj/36XBL95nvWcUz/lL5CoaA6gQHniBbcrP79MMrJCLBCaq8DqM3NFX3f\nC/rz4pilRibM9g3Ud2YN9fzHUM9hGfOMUxiqKlGzzunzSD+j1FFnMNF1E+XAwpiWCtlYSTZBhFWr\n4MQd7h95I6ceuJsl5yalUom15TWywxmOTR7f7RV96K5HWHjmj7BqFkEAFhaBEE1z6x7TwlqBeCzO\ns9ee3tUjSyZSLwvykAyNnKMclF9CoLA/vrmxX0O7w/HN6KJdnbtCOVoi4kboi/fRLDZYv7FGrC/G\ng0cfIp1KEw6H8GIB23PbnDp0D1fnrtBNd1m/uUZ5pUyn3Mbb9githuiP9HPPm04zOz9L0S5Qtkv4\nnq8Mh/RRlTC1rgAc1yFwA2Ugp1DHHsDQIglUv4Q6RjTFAhQKL4Qy0sIR6KB2971Q6jDKUYHaeWcw\nUiSC1BvE8A0KW7qoVU+gjLdojgk3owARuphaWwzlMHobxfvYCzYQ3kAPlfKqwd2r8CGJTm5zDAB/\n2g8rw/rFFob/MIxyBMLM3wuKCWOY+sEAaVZ75iwb/17yX2HSSOu/CUmx9NOJpEsME/VsYORjBjAS\nNasYBhhJ54k2XBEDshFKqwrKqQiC0NFzkTRoQ39+GuVEYqhnAEZuJopyRsKSL8rY0ucmUaPI/wiE\nP6vnv4Zh9hcy5GMYIJDUIhcw6gBhdmtwVtYi7/QxlZnmpx77aaxt1SKT6WTobwww7I4wbk3www/8\nCE9fe4rOeJuh0WHGRscYGh0mOmA0y3p7TMtLJa59/Srz27OUKWPFbbykx+rGCvlYngOM35K79U64\nXvdraPs1tG/L+GZ00Xp3eclEihPTp6jO1zh590mSCeMMe/kfHzv9BBf+8jzhwCU3laPcLNPaaeEE\nNqlYimQmxXTmIE+/sEGQC5ThGMbUtISeSfMselnPsOrvoIzY86jdvuySBc5exDDhhzBw9AsowyQU\nSUIhFdbHSMPrQX2cFOqHUf1SYxjdLuFdPIdBDQrZcQMVMQyinJQgATf1+QXmv6PPJSzswpov9ydR\nXZtdEEZUxCbvcMSk/05kcp5COQxJ7Ym2WC/7PyjDPI16FhLlHsIAF5Yx6bZ+TEvCln5/B5MulQbm\nwxg0oAi0Lus5SJp1AxVZ9WP60qTmhr6OADPoWasRPc8qZs2FSiup7zGKiu5ErFVIo6XPTNoNJNKX\nvjbpsZNUq6SZBZUj3zVRG5CoWyJ2MM65rNe/pI+Te7MhEo8y/sgEdtPij5/5I6wQHHrrkb0sPqcf\n382EWJZFZafM/PwczaBF1IpQpczHP/vR3WzMibGT3KjeoDndIDfdx9rOCmurTYYZwU27zD53nX/+\nwZ/lVuOb4XrdH7c39h3aHY5v5kt5K4Lj1KEUlXhlz3G9/I8jQ6Nkgwxtp41VtQjVQoxPjVMaL7G1\nucXZ2ec4NHGEZ849jXXQUnyOjkXQDAjigak5CAXWedQ/+CWU4ORhTGTRQEVhRzFEtIJmk1SONK72\nAjKkb01QflILkd4nISmW3i0wEZ3UyYYw4JIIyjjLbl6iCWn+lVSj8PK1MMzzMT3nTf27iGIu6jn1\nq+s073zzB0BDoqUshmzYwuiMyeZBUKXCdiLR1hjK6Qh1WBe17mnU2h/Q71UwQI7Znvt0MJGyoBp3\nMJRPgvjTdcJd9KHQjr2AeuZCi1XQ6ykbH1EkEGyDUH+FUBsYSSnKBiXac39S85KIUWjJ5JkK84nw\nTwpLiUSDAhSRz22inL5QaAnhdhP1/ZH6aQfT09gHVsrCcR38BZ9g02fq7oPMzd2AjEXOUtIEL96I\npkMZlneWODd7BmvEptNsc2Npg69ee5Kh5WH6+wZIRVL86VP/leNvOkG70SYSjzCSH6VgF6hernJw\nappTo6deNn34arle98ftj32Hdofjm/1SvphJpDevDj07x4ce3/370+tPkzmWoVVoEumPsFPdJmSH\n8CwPa8Rma2OL/kw/azfX6OQ7WBEL27UJ1gK8IQ970sav+8qYTKOiHunTkt4y4TEsoCI24QXMoIzH\nqZ6bWNU/5dtTRhlqQTfeRBkfAQwIPF9Qb3kMs4MATBoY6q0kJs0mjBpXMM3gQmckkiAOhky4lw+y\nquefwPRaaTaRa6NweQmO3UE25wULrk+gjO8KpplYUIRC3bWojxEdt0UM/ZZwYpb0/QsxcBSzaZBU\nm2iwyQYkiyFhbrKXBFqiOPlaCsVYBPU8Uqj+NukZk7SlnFMiwV6VgDV9rUl9bknhigiqpJw9TF+j\nj/p+iCMXQAn6mAJq8yL1UKm5St/eTYxIqtBxSZSXRzV+5zHglwXMxuIAOCUHp+6AB+FomIyTIZVP\n05prY/U8a4nELlYuEBAwFB3idz/5H6gdqWHdhKbforZWwx/12RzcoO7WGUoPs7m5gXPBIXogSosW\nbizCUGwY14pw8t5THCiq3tFb1dnvlOt1f9z52K+h3eG4HV20Oxm9uXmrCgesMd537w8zPKgQWJ95\n8lMsNOZoJVqUGyUCJwAXrLpNqOyQHEkRVCGbzFLyizilEJ1SB6uqSIptbKVaLRRBFZRRE647Qa71\noZySKCx3MVD3cT1Z2XWnUQa2hnIqFspYC3eeUFkJEEQikR0Mmu+gvpaDMlLC6OHr6zUwBk1osI7o\n80pNR3gJvZ7jO/q9CQzjvLQYCCluHppxqK/AD0kP3W2Mn+uDp96LYcFfxvTzjWCiGHEGoicmKgBl\nPS9xFGFMdCMtDzsoJyz7I2FpkcikrteiqO9fmsrbGLkcifCkhuajkKwhfWwSU6fTyFfQ9yFAIWmB\nEOh/AQPkALXeJQxFmCAapVetjarRdlGOdR5fF4hdAAAgAElEQVRTH3P1XLuYvkFBaEb0+Tv690GU\nk6vrNc/pdd9ARa41iB6O0u12sRybXH8ez+8S1AP6Mn0kSDIxOcn26iZONMRQfpjKTpmzs8/RGm4T\nTUTppjt88qk/wYk7dHMdSp0ynW4Ha8uCw2AFFpF4lG6ri52yqS/Vue/0/axurGBFlA1I1hLk/T5+\n+IEfoVqr7Kmzr3hL/PFnP8761ioZK0u0GCXaiX5Drtf9Gtqrq6HtO7Q7HHdCQHwn5zw1cw9vuutB\n3nz6TYRD0d37f/LKFwnlQyxen2eru0nDbyjG76Uwb73/7XiNLqntFCdzJ1neWiU6ESGWjBF2wniL\nXSJ9Edo1jbsfQRkbD2XwBlHOSRBxolU2geld6zU0UitrowxnEiPu2IeBdkcwumzCpCEAiEHUDn0d\n4wRDmLqeECoLjVIS0xAuRrijj1nR13cxzcYCkpAWgN5alk430lH3VYzA46swdBtftXMO/MrdUEzq\nN0RZWkArLqYZWaD6os8l6zCEMsQeKjIbw2iFlVBRnax5Q3++gkn/ntT3LbUmSa22MSndHEblwEE9\nrxTq2QgqUTgcQyhnKRp3Gxj17TFMjVSawCVtLXUyIaBuYZjrN1GblU1MQ3gTU/sTR2ijNijCtdhE\nPasoRmdOyKsTeg4Cbmmwy3Np9VuwDfaSjRsPY1kQSUSJpeLYGZvqtSr1Yo2dlW3W59bYbG9y/do1\nrHELu+5w19hx5tfn6Ax1aMzXyc3kaXttQqkQjZt1rBGLkO/gui540Jfso7XY4tS9d9MX76NRqOPP\n+7x19FF+7C0fYGRodA/4o1qrcPbmGTrDHco7ZbLHstRqNX70wQ/w5nseedlN8L5D2weFfNvG7RIQ\nvxYjHcqwEl4mCENiJ0GhWYCwhdO1SWQSuMVxJqYmeG7x6wz2DWA1LEhYRKNR1ifW2La2abfbtEfb\nBsywjeF5dDEMDIvs5elbQn1GamwHUA6mV/Vaml0l7ScsFROY9KGFcjJXUQYrikmbSQ1Iorab+rpC\nEyVw7wH2So30ogFj+u+bGCCFqEVLekrKlNPsaovNO/CjR+ETV1Sf2cuN8xb840mYn8BIr3T1GoqK\n8o6ev/R+CQJSAAsSxeygoqWWvk9JlRbZ2wx9RZ9vA+XohUFfmtkFvLGi72kT054h6yi9ehKlSg+f\n1LVEGiaMcmxzKIdxGpP2i2BSx4Oo74jIEh3W5x/ENKwv6b/fg1GFzuj7Ei24jZ73Ino+M/peHAx1\nmtQGD2McdgOcKQcrbeOHPfDAGrSI+BHCXZfoYJTR3BhBELD63CqlVolLtYvE++JkjmRYvb5CtVgB\nC44MHAOg5Ss6qlR/mmDVx4k6tKotvIaHt9rGzsfodhRXo9MI8b6TP8REaYJSp8SxvuM8+vjLC/3O\nrd3ATiskSzNo3hGIbH/c+dh3aK/zcWLsJP/pD/8D9Yka4f4wE9FJanN1MvEsT/3JV4iMRlmaXqSS\nLRPkoHm9QaaeoRlv0mm3SbkpKrUS7W0dpYmhSmEMraDQxFFJOk8czwbKwFzE9IBJ0/ACpmcogUor\nCVBAjBD6p4cBesh1pJm7jjLikmIUYyb1HBH+lN6lZZTxlfqVpCuF0USizVUMV+IMytEIgjINl3Lw\ngxPw9i34uepLuRx/dQA+PwzzB1HOsYGBzkt6LIQy0CJ6WsCkRiVqFKcuzB4JTP1MGPYbKCcu5xNJ\nHnFeIgIqTkoi15v6OUmDsTB8fEWfR3rhellZllCOCAzLSFfPZUufS6D2JYyAKJiG8gH9nGRjI5H8\nMKax39dzEAVyQZ721jvBoEQHMarloug9C07Ewak5BNEA27IhAbZlEzgBdsfGHrZJFVOECmGqmxWG\nY8NsNh2SDyRpVpr4aZ+t0ib+aIBdc3DHXTbrG5xZfI6oHyWIBWQSWaampjh35iwXls9j9duEKw7t\ncBu/4DM5OMVJ9xT/5N0/8Q0zMr119pavejWCICBqqX98+8jGb93Yd2iv47G6vsJfXP1vZCYztMtt\nOkGHYNHn9Mx9rLSXKNhVYsfjVKwKa5trRGoR1kqrWAmbtJOiFq9RnCsSlAPsYZugBUHbN3pcoByZ\nGFXpfRJyV2FeENBGHlPgF12uIsoASc1F0lrjKIMdYK4nPU9tDP+gsITcr4+/iBEAFZReTM9D0G5D\nKCN+EuUwzqCajwUEIhItHoZZQ0iABzBgBh0FzE/AH8Tgz2bh0DbEStAIw/XDUHgTqjduGtN7F0XV\nhwRUI4jAkxiNMoHYi/jnNkbXLcDovAmir4pK8VUw4qFSfxRKJ9l8CN+hyO+UUOm73qbzUUwLhaRp\nF/R6rKKcUxTTIybn7cP0LkodS6RkQvqagjy1MMrhvc+20nMcGD02X19D6LuimChNHJwoZOt0q/WA\nRTgaxuk6RJtR/HJAJ2iTSWYp1gv4+Fg+ZGN5YkGU3JE8VsFia3mLUrJIp9pViF/Xxwv72E2V2WAV\nOumOip6KAd0rXSbvnSSVT+O6LonJOLF0nG6jS2u7hUuY4e1hfvbv/6tXLC/0gj8idoRm0CRY9Zma\nmQL2kY3fyrHv0F7HQ3resq0s9ohKWwRBwNVnLpN6Yxp2LNrlNsXVArVGlYXZeezTNk7dodlq0HSb\nOCccvIueUQwWCLU0MIvQ5Qsox/R1VMTTRhmbExiD28IIPrYx9TiJSu7Rry+joq0xTERQQKHsRGDz\nPMpgDqGcgwBODqJQlsImL8TIlp6bUG0lUDv4PPBlVCpMojvpfxKmEAGkSEqwpM8vpYlJdXwBeOYQ\nxtGOYngV2/p/SeOFMVRcwh2Ivr+DGBi8RGTSJ3cF1XM3jemrOo/aKOQwoI/D+nxnMGrM4/oz23o9\nc3pdBOwiadMyhh8yo9djG9NwPYlhXhG6rXWMg9ruOZdIxPTrNTyOidBv6GfQxNTUxIk2eu59EeUo\nBba/hWmrEAsk3xdpGdjW19SZgoCAECGspI21qKKcaChKx+oQ2grRN9NHeidF6UaJYqhIx+nQ9Fr4\nno9tWbTp0PE6uJ5LJB4lM5Shfa2Na0fIVbN8+H3/Jy+sXKK0WaK8VmL8DRO4boR2o0XRLdKly8Lc\nArczettzsODclbNM3ztNKp/eRzZ+i8dr6tAqlQq/8iu/wuc//3l83+ftb387v/ALv0Aqdefov/1x\na6osy7JoWE2SlRQ5J8fN1UU6fR0KtR38Az6BFxC0ArXLBYJIgBW1CI4Eymj11iiuoYxGF0NTJf1N\nW6j8m6TXRMDyBiZS28L0MgmoRKIr2a1LreYwBtjRj6FcEhJf2c3X9HyklreJYQeRPi5JOwrsW5yK\ng6kHyvFC8pvX8+xtIdxGRRKSOhSiZaFn2sLUBIVWSZy4RJbzGPUCMI294uwkwuyV3Gmh0oFZTG9Z\nP8qRe5jG+EV9TB4VNfdqgQX6vHWM7EwKE8kVMIz/Ivop4I4IBvIutcVeBGS357wCdomgHPRTmNpl\nXq/hCkY+x0XV4qb1s4iinPIKpl47AHZgw6KF3/GME7yp56JbCqxRJYHklT2cusN43ySe6xEZjLB1\neQMraVHeLhHri7M1u0UqnSS0GWZyfIrLa8/jDroE2z7BMHRKbbqdLv6iR3ewQ7Dpc/qee9nc2SCw\nAy4tX9ylsHv2+WfYCK/TbrRYK6zixX2arQa1oMa//sOf5efe9QucPnkf32j01tnPXnyO//evf4+F\n7jw5J89PvGOf6upbNV5TlOOHPvQh5ubm+I3f+A3e//7388lPfpJnn32Wd73rXXd0nu9WZM/q+gqf\nefJTPHnli1ydu8JAauCOoPwvRjbdiioraAW4S2HufcN9FDcLrHVXKSzt4LU8QxzbUFIwQSsgqAXK\nKQxieqZGUIZN6kvzmLpOGxMJhDARiSgwC7hAHKOk73qlQKYwRjlAGVqRhJE0pGheDWIciqAhEyij\nKo4ziUHUTWPIdoWOaQ4VSUpUJz11IpOSQDmrPpSjFekVAaZIalMauFv6uFFMa8EGKpqUa25jpGGi\n+m/iBEUpuYlBILb0usscHVTEdAwVMXX18dIfuKjv/wDK0Ui6NYNy6iW9NkIDluh5vhLljOl7XMew\nvQgqVGpWK6hUqfQbStTlY5z5AUz/13E930lMpDiq70PUEYSqrNlz3XvVayttkUgnsBoW9oRNkA4U\nt+gkBlzigD1iE6wEhMoh4rk40+MzRNwIR7yjvHn8EWYGDhEtRrEDh4jj0j88QGIwRavW5O433kPL\natFqtwjlw/g3fbprXZyGg5t0SR9IY5VtdhpbdDJdjtx1lGaquUthVywWubZ2hZ3mNu14m2qzgr/h\nk8lmiMxEeeYrT/PmIy+PUOwdq+sr/NeznyB7IsvQ1DCp8TRX5i+/IlXePsrxOwzbbzQafOhDH+K3\nfuu3OHnyJAMDAxw+fJiPfOQj/ORP/iSO47zySfR4vT/EWzmuF/ee3AnHowx5iDfmF/j0lz7JUuEm\n586cIZ6Nk8qkGcgNMtgc4n954meYW77B/PY869U12n3tXZCBtWIRRAPDZygyLcMo4+Lp9wUOL0b6\nIMoASj2oi0GieRiGiG0MgOQGBuUmEZsY3hbGmM3pcwksv4aBcwtNlDBp3MBw8m32zF/0vAQFKL1y\nL2D6vYQrUhzNdQz5stSvxjAkt4P6PNKoLanGNQzh7xaG9UOataVWJ7WoLCrSkXltY/q1LAwt1Jq+\nj3G9FiMYGH9I/y7K01lUXUzSdAKSmMNEUSLUCaa/cBVThxLl5zzKQcr7cq83MQz2Lb32OxiASUIf\nv6TvfQbTSC33JGz3UfaCWTTVGgf1vOIQqUVx3QjhVBjHCtF1ukSqEfxwQFD21VrvWMQPxHETLqFi\nmNHkGIlWCooBWbK8cehB3nz8YT5/9u94YfMFvITHfafu5/jRkwzlhymVShQ6RaKxKFbMxt/xqa/W\nsVyb/EAfffYAY9kDlKslggQ8ePQhkonUHl7F9zz4A8wt3GBpbolKuYJVs4nFYwwfGCEUDmF1LaKt\n6C35Gl887oS/sXfsO7TvMGzftm1+53d+h2PHju2+FwQBnudRr9dVH8f3wHg5xuyclyM0ceccj6vr\nK3zyC3/CmYWvY4fg5OgJ1pqbZI5lsXIWM4OHmD1zndMj9zLeN7GrnzQ0MMxXn/wy1oRN1ItCDLrR\nLu12G2vRIqgEysgMoIzMCygaIZEeEbmYLsrZ2Rh9qXmUESyiHNQmyqCuYsQdxWlI7cfDgBQkgpKo\nsIQyvHKdpn5POAe/iuEDFKb4BCbqEai3AD3OYmDdQsI7jXFykloVIVGhxZrX6yBAiEuY1oCWvi8R\n0ZxEOYEOhnNSUJnSGiDOXoQyxbnM6s+OoZytbBr69BpIek7WYEn/7G0CF9YOiSJlPyiQ/jxGe0zI\npaV1QcAo6xjxU1FN6JWcuQsTnQqn4iVUulfAKoB90lbRfi4wrCSCusz0zPHFBMtST+0CWITSIVKD\nKdpXW4TbLtFolNhIlGqsSrvTwa/4EApIriWJhWN4OZ/ssRyltSKVeoXtK1vsLG7zn5/8PfKn+6jF\nqnQTXT53/m94nCcYHhvh4MFpnj9/ieNvOMH69XU6dpsmTSKHInTDXZL5JM2tBvlkH9H+6C05VEeG\nRvmX7/lX1As1nraewopYZLNZ3FhkF614uyjFff7Gb+94zRxaJBLhkUce2fPeRz/6UY4ePUo2m32Z\nT333jZcjJz7z5a9zePLonmNf6Yu7ur7C//OXv8HF2nnsGRvbtvjE/HnSQYYHCg+SyqdJJdPc88i9\nJBfSBAR8+tk/3aXSOX3XfVydv0q35eFZXWzbxvItwkMuVsjCj3r4foAVgBW2sG5YeL4Hk2CP2XTb\nXYLrgSF1lVSd1DNSKKMoDbGjGD7HlP5/FmPcGijjLcZR2PtF6HMWZejkOBF0lDTkMeBLqGhDyHRB\nOVKRR5FUaAvDyj6MMrTS9JtDoSXHUM5LakajqLphBhUlzWKiT4lk8vqeZV7jGCotYaqv6NeH9N9t\nVD1KakhSExJYfBPTWiAp2t76WUJ/rq7fz6Kco9S3pIYl1xagzUG9NtKuIAjDGQzxr/SdNVCgHaGf\nKmBaGNBzkOZz4UqsqHv26z6O7+DZ3t5IXOi3JOKWnroyhoQ4p8/dCWjU6iRDSRKhJEPRYbpuh6Jb\nZCA0yOLSAt10FzcbIZKMUr5UZuDQIBtr63RTXWqdGsH9AVfnr5CbybO6tEy73aY77GH1Wzx95mv8\n4Nj7SeZSPD71DqwdcNdcvA2P2GQMy7UUyb9lYY3YVJ4ukx7ZizR8MYfqz//jf8u//sOfpTpc3WUF\nClZ9JmcmSVu3h1L8dvM3vlppq++VcUcpx1arxcrKCqVS6SX/u65LOBzePfZjH/sYf/AHf8Cv/uqv\nMj4+/g3O+tLxeg6zn7zyRdqJ9p73LMtiZ36b/GTfS764g+2hl00tfObJT/Hc5jO0R9rqH5plUW1W\naMVbODshhkaGAKgWKjx95SmscYsLO+e5WL3An//dZ7gxN0stUaU10FKNpiEfp+wQLUQZTg7j+V2s\nOoQSIVJ+inQ6jZ/ziWSVvlqz3iToD0yBfwVlvIU6SSIw6TOSVKWkvCSFldOfl1RdBNN7NI/pRxLY\n+RjKmcX1sVFMM7WHSWkJe4Wg5bYx6T1h1BDFZ6n3CHv8Nsroepim3yomihDI+HFMlCFAErl/iTzX\nMTU69OsJTCO5g4ke0xjxU6Gdqur3JL0o9GBF/XpRr4s0NUs01tX3kNTPYEuvszSzhzF6Ya6+D+Fo\nFNooWQP5jAivShP2GIZ+SkRHxzEgH11Lc7Yd/KZv0pgOKv0p0jkHMLVVYToRjbwc0A/BTkDnYpsD\n7gQPvPMBspkcay+ssfTCIl7GI56Ik85ncGMuftyjcrVM+ESY6lyFRq5Ot9Ol2/LoNNrU7Bqtmy06\nThc/4dHcbHBk8ij2psOPveUDrBRWyJ3M0fJaJIcTtOst7IRDt9UlGUvibIQ4kj9CtC/6shR2qWSK\nmfQhnvnq01hdi2Q9ydHpY8Tq8dumunu1VHmvJuX4zUhbvd7GtyXleO7cOX78x3/8JSE0wG//9m/z\n+OMKivrxj3+cX/qlX+LDH/4wDz300B1PynHsVz7oOzRykSyrhWXm5udpBU0iVpSDU1Pcf/CNFFZ3\n9hCPeiseTzzy9wiFbn0/Vb9M22pj2+rvlgUhO0SbNm1a2LZa5/mFOexBm3NLZzTrgMVSYpGN7Q38\nQR8rZOFYNqF0BL8QYIVsmhNN/HZA4IA9b5Hv62NzYYP4RIJoJcJmcRMrbuHg4G14JjWm6x1EMZD1\nYygjmcREbHFM2k926tI/VcE4REE3CiuFQNx7ARMCRtnGGOZVlCGcwjCcVFBGNIShQJLoq0eMkQam\nFjiMcihSJ9rC1M0k/ScpwJSewxJGtLSCcgq96TTRDZM6UR3laGQNBC0oNFAb+rqC0LT0OiV7zi9o\nxHV9jmOoKG1WXy/AKBpEMSlLmaPI8CRR4qkSWRb1GuUxaVvZcCxgapNZVHrQxaQdff23FZXOJkCl\nO3f0HOR7Ik5S0pHj+hwi3KrJiq1hC6oQPx6lUa4zu32N/kf62X5mC3/SJ+ElGE4PE4lH2LDX2Z7d\nwapa1Ft1gnCA3/LBgXa8DSGwB23sroO/4dMtdVl/ao1/91O/wujwKNXnyjiOTdSO0o61GLFGKRYL\n0IZ0LM3Dp9/CD7/tR/i7c5+j1C6SDmd47K1PMDq8N5p5w+k38JvDv2WOC936uJcb42MH+J/f+s9e\n8TovHmID78QWfuHC53DHwz322cIeD/OFC3/LB8Z+/LbP83oYr9YH3JFDe+CBB7h8+fI3POb3f//3\n+bVf+zU+9KEP8YEPfOBVTSqdjr3yQd+h8dDxB/jEH32M0NEQtm1T9yucu3CG973jvVy6eYlnn3oW\nLHhg5gH+0Q/8I8ZGxl72XCOZQVJuglKou/slzOVybK1tkUzEicVcgiCgU20RTjoEGfVlLe+UWS+s\n0060sRM2oUYIHx+64LRtMqdS+HWfRqFOt6YM0cK5ebL5LH0jfezUd+h0OjgZh3arrQzVEYxmmDQM\n1zENuyLzMYrpgRLjKzIiHkorTTgdT+gblf6wCf13UMZXRC+lh0qYKWr6tfxeRBniE/qa8vmY/tua\nPjcY1ecjeg5NjHRJoOeaRqUkCyinM46J8jYw3IESaVVRTs7COMZ+/TOGAa5somp5HZSTKqOcaxGV\nnqzpc4scjJAVS9rzEsoxhDBRVq/ywI6ev4PqXevVNpMNuDDiS91QGr+lliYOLKk/38L0Bh7DIFOX\n9HVmUc88i4r41vRPaZ5e0D+FaFhqofI90RG0m3N3Ny+RSZfzT58lejLKzuY2zUYDv+OTSMUpV0qM\npEfIp/JUWhXq2zWCaoBf9g3xsU6jWl0L6yDYF2yOvPkIbi1ENhvnk1/8Y87PnqG52mR8ZJTLa2XC\nozHiqRiZZoaTyZP8xBM/ztjIGCfukoa/lx+53OHbOu5b8fk7sYWdcJN4PPLS9+sNcrnELT7xvTde\n0z60T33qU3zkIx/hwx/+MB/84KvnKSuXG3jeNyDX+w6Orz7/NPfcfx8LG/M0vSYxO8LAXQP85l/+\ne04/fi9TQzMEQcDy8hrFYp14tPay53rwyFt56tozbCxsYo862LZFqB3iTbGHuCtzAmsR/HpAqpXh\nwuZ5rLJFIppgcW2BLl2CdoC35eFXfOyQjdf2CLkhuq0uW50t/IwPYdWL1rSbRMYiLF1YppNr00l2\njCzJQZQhE16/ERRCUGpbAgnfQhnlEsqAp1Epu0WUgXcwwqG9cibiVIQl4xLK4LdQqaoaqsYkpLPC\nGC9aajEMe7/UnESJWSRhljGq1wcwgpI7qAhBwCttVGr1MKanbBajxCxRo4tKl3YxDi6GMfaXUU5K\nKJ1KGC5GUQOQ++hiqLkk0qrozwtLR13f+xU9j15KKGmfSOvPLvbcqwBnllEOROR1BjGAF9E7k6Zm\n2UyIXlwJ9czlcx39XK+hnP3zGOCJcGxaet2a+ucBvWZFfT8FdllbrKiuP/kBcT9Ot+tRbJbobm1j\nJS1CfSGaa0022aRar+KFPHK1HE8ceSd/Mvdf8Md9tT5yH5ZaA8/2iJQjpPszxLIJyjer/Pqf/yah\nsRD9J4d4buFZNm5ucmTgKJsrm9QLNd546CF++A0/QjyapVB4+X+b3+nhODbpdOyObGG4E6Ve33xJ\n2aOvE3td3+uthtz/nY7XzKGVSiV+8Rd/kfe///28+93vZmvL6Nvn8/ndtNrtDM/z6XZfnw6t0CqS\nHEhx4qARCLswe452pkMQqC8QgD3i8Ddf/+tviHAc7B/mX7zrf+XTX/hTzsw+h+UEPHzszbzrjT/I\nYP/wbk586L5hzj97jma2yfbqFt1QF2vDUga7DMGRAM/yoAL+JZ8Nd4MgD37BUwavBYRhxVshM5Sl\n8vUK1oxN0PCVAYxjhDklUrJQxlp49yx9XAgVJY1inI6kIDf07wcxKTShNhIjL7WyFQyEXtKONqoJ\n9y4M+EMMflEfu4gBGlzGzF+Y/3P6p9B5dTEIRYG2j+rPCKPGKRQIRgAXA5hU3iUMC4goD4RRhvwC\nRl1aesXCKEco/WjiqBP6/bq+rsjeCIQ+qf92DOVg5jFOyUERO0ukW0E5IFGlzmBSpNKWsYFpWWjo\ndZN6XhmjhiD9aPIse1UX3J61FUkbiZrbqChYQCeCEO3TczrAbo0tSAR0gg7RUoyH73sL28VtOsUO\nnuPR2mrRxcPv+tjLNt1il8AHv+UzNDnMuDPBjfqsAqRcQX2fNWglEouQG84TWYngLXu4dgR7xCEI\nIBFPcu/E/cyt3qCyUOFdd7+XR3/IkAi/Xu3Li8ed2MK3nXr8lnprb3v4se+a+/1mx2vm0J588kka\njQaf/vSn+fSnPw0o425ZFp/73OcYHf3eQNrcCrXU9JpErb27iTtRsf7pf/gvAAiFbHK5BIVCjW7X\n30VUpq0MD594C185+yXqlRpUwPFCeKOeMmIFRQ1keRbOqENntaMMqzijNaAPOnaHUqdE4Po4BxyC\nqoW37qljyxh+vRKGm3EZk87rYJyW9H4J8W9d/5zCoASvYFj9pWfpOKrfSVg0hHhY+rcClPG2MWKg\n4qzaKPosMLUwQVAKe70AL4SnMIpySH36c8JeJA6tgWmkbqE4JUWSJYlKIQrQRLI2AoyJoIw6+rrS\nCiGqzXdh5HEKKOe3iIlihRoshOnZs1CK4V/V9yPowcMYRGIW40jX9DrfjSGbjul1u4zpGUyhnGsT\nA/6p6NebGBkcibLFuYmF6F2jLdR3QtSuRRR0E1Ozq6NQlVIrvAmTQ5McP3mS4tUCxANeuPIC9hGb\ncCwE2QDvkk/aynIkf5RjR48w+9w1Tk3dw43zs1gjFkEqUOsRBTcdIVQKY19zGE+PM5M4Qq4/t+ff\nZTKR4tShe0hn0t8XzPa9lFuljkI5SpvP98t4zRzae97zHt7znve8Vqd73Y5bqc6G18JMnpzcc9xr\nAc0td0tUCxXm5+doBi3G85OEW2Eak01KqyV8y8PKaCh+F1w/ghN26M51CdaDvQ222nl0UDIy3rx2\nhkMY+RZxTMv6famFCTRfuAHHMOklYWFP6dfCJCJKyr0ci0JyKxD1OMogCqpPojEpNyyjIpWc/l/q\nXGC4FDMoA3sE098mqSlB7QmsPYYx8EL/JVRZ4jTlfXHaJf23YUzEWNb3K6rNEiUKT6ZEozVMg7bc\ns/T+Del17dPnFYXpIX1//RjxzjUMg8hRDA+jiKFuYvTOPEzLQxzlkEUT7gbG4Qm1lQB3LH2uef13\nSdNKX5s4rzgGBFLU55O0q6SG19iN3kKZEJH+KN14h+q1CuPFCd5577s5f+YsqQMpOittWn6LiBMh\nfNwlv5Ln7vvuIRZzsXyodipMjRxkYW2eIB7gWz7hlTDR1QgPDb2ZU8fv4UDfBI+efpy/Pfs3LAU3\nX5JyC+o+H//sR78voOzfTmmr1+PYJ/4L0HUAACAASURBVCe+w3GrXdA73/Vu/uLqfyPIBa+ptHpx\ntchnr/0VftYjRIjMcJZYJ85AbYj2UJvzc+doJZoEfoAbdUn2JYkRxYk4lOyiIfIVg1YGFhWPnrVi\n4RU8w8ZewfA1uvoz0o8khus4yqjexIANBE6+g2HmF7Sf8Bl6mGbdAJMqnEMZQDl2DWUYhZNQUos7\neo6iWJzDSJeUUAa8jgF4SFeFgBPWUem7hr7HVUz61FdrApj02SaGK1Jej+rzBpg0n7BtjGLIfJcw\nIA5xnsLtKIzyEpn195xrTa+pACkkymxiRDtFz0y4MgXO39HPQGp0ln6eItwqdFRDGLSlIDr7MC0M\nEvWeRTlwOec0Js24oK89g0qPCivIgr6uZUEqgA5YMQtqYLs2sVycbD7Ho6dVWswec7Ai4EyF6BSr\n+JGAoBkQyShQQxAE3Dv5Bv788mcIRgL6BwaolCs4FYfh/hHePv0o/+6n/m96x602m8WrBQrdArmJ\nyh4ihJ94eJ9P8Xtx7Du0VzFutQsaGhh+TUP91fUVntn4Gq3pJk7MoRW0WLm+TLjlErGibJQ3IBfg\nehH8YY+gHlDdqDBoD3Lw7mkuli+yvbqljIwAEqrgpBwCJ8Dr97DaFgGBMt7SrxRDGbssBvYtaMYk\nRuVY5GDWUBGa7PZFJFTg/3PAGzG9UDVUje3LKKOZRRlbaQQWo2mjDLn0nEnkchOjz9YrFinoPoHv\ne/rvMYwAqa3PJRGPECiLUrKwcIgCgNBRzaOcsDCbxPQ1JUUqgJQtlOMcRDmSaxjAzRpG0FOowZYx\nci5H9HlBgTCE1NhCOTNBfkp6uIjZIEjf3QSGQ1HoziqYxuqMnpfoyEmNM4ZhzRd1bXGMwtYfQ0Vy\nAQohKlGwrG1WrVM4EqJT6YANVsPCchXBsFNxCLXC/NuP/TzNeIOoHyGX7GNpfRHHDuGtdUkcSFBc\n2aFcKeNspXnbiSf4H+f+CjYhQoS4kyB9KM2bjj/IXR2B0O4d2W6Os196jsAKuH/ifpKRFNUjlTtm\n8Nkf351j36G9RuO1DvX/9uzf4Ew4jLpjFKsFmuUmLbtJ5ECEol/AOgyZ1SyhrkN9sU69WydWj9E/\nPcDRU8e48udXSKaTNLINvIqnDNkM+G3dHLuhiGIDN1AGdx5DnyQ0WA7KWZXYK64pPxsYFnjRyhpC\nGVwPAz6QviUwBMdyvDQZC3VVCWVQV1AOYgpT10tiKKnqGFJjifLEcYtEjKQHpSdNmpdz+npy/EVM\nf1heX6+hj0+ijH0BFXmJAKeQB7sohyJEzdsYxvsYpm9uQ39eiKElvQcG4AFG3mW25xqOnkcv+fJx\nTL+d8GwKW/9NTArSxTg1EfAc1O8v6rlPYdKV0qIhvWr9KLowSff6YKV0PWvbIuyECDoBVsqCPggv\nhAm5ITrPd7BO2LidMOlaiu5al5N/7xTL5SWasSbNWpPSlSKJo0m8qkdjvUHnQpsgnGD1K6v87//m\n5/nk5/+M4w+foDPbxhoxjcmzz13nn3/wZwHDjLG0vci5lbPM3HeIw1NHCIKAneUCoaaDZe0FpO1T\nT33vjn2H9jod5W6JqBOlHW4zmBtifX2N7kCX6lKVRtDAC3uEh8NEqjEmTk/R7rSpXq0QJcZx6yQv\nxJ7nfOosQT1QRnASpStVDnAGHbwRD2vN2stcL+k3oa9KoSIWEdsUDkRJY4oKsrCLHMJEFm12U5yk\nMXBuSb8JUXEdlbITaqcYyuFUMbt/qdnI8csYMuOmnuMBfR5xAh19zJY+5rqek6ThdjD0U32YvjJh\npLcwaE8X5fBuYlCdaX3/ArXv0/MWFg5xQl19byUMwEQ0xgQZKrpukioV/TThtpzHNHOXMZGV1PIm\nMVyZIVQ02UQ5OOlbE3JmYTsJoRzpAiZ6FRSqyMII0nSMPW0Stu+AC07I5ujMMTYbG9S8Ou1Sm767\nBuinj6nsNBfPngcsmuUG4w9MkkqmiFQjtKwW0eko4a0wrastirUCdsYmOz1ALp+jsLgDoLIdfRlO\ncx/zC/M0/SZRK8qp0VOMDI3u4VW9OHeB6nSVszfPcO/EfSQTKUJjIZafXGJs5sC3jXpqf3xnx75D\ne52OdCjD1NBBzt5U7CCtRotau4ozEiIVS1H0i7RWmzTLTbx0FydwOBAb590n38ujpx/ndz/7H2m0\nm9gRGz/qGw5GF7yWh+M6eG1fOSmRi0miDOyK/r2NchKiSRZCIRBnUIbQZ5fWiB1UlCCpP19/voYy\nrGOYht8N9qo1g3EgHoaXURqqJQ0qNa6jKOObwbDzS7RVQBl64RMMoxytQPlvoJxPAiN0Kg5FmOpF\nA07qf8Lo1qf/b2DSpwLeEAdb1uc5jBERvY4BvBT0vARFKNGTMJYI2484U0GrDuhr3+hZY4nAZC6i\n5Sa8m3X9nCQqHtPr0MWoiAubfgtTt5SNhxAc2/r/Flg7FvFonOBmwNTwFH4pwG1FsOYtHpx4B37D\no95tUK9UGcoPM3lqime+/jRLrZvMfukaI/lRivUilmtRKpWolatwCGKRGIVyke3CNvFOgp/+9Z8m\nGUmTOpYmnc9wKq/grUEQcKCoYLe9vKrlZpnN4gZdv8uXLnyRt5x6K8lEirHRA3SXuy+Bsu8LbH5v\njn2H9jodj51+gvkn5ziU+v/Ze/Mgu87zzO93zrnn7mvvO9CNHQRIAKSohZRkipQp26OyrdKMPV7K\nGTmaVDKVxBVXuWIntiuVqkllKpnKpJJ/RhklpYocJ5kZOZI1Hq3WRskSRXDDQjQBdDd6X+++ni1/\nfN/bX4MAKFCiFor3rUIBffss37nd+J77vu/zPs8xXnz5IpVbFYKjPlPZaTK5LK2dFo3BBvHtCD/j\n4615lFtlTk8+wL/9+r9ms7VB7JhDrxIY1mEb2LWgpefW9lA0dRmCtTFlNMkQEqiN8Bbq0/5BNp/Q\nx8FkRMKeEyUJYUsK5VtKmUcxlHYwli4pzKzVNCrDkoqRUN9FONhCbdxrqB6UzFrJRp1FbfJX9NqE\nQJHW5/T0euYOPFMdBXJTGJdqsbgp63PLqI1eMq0aRmFjEFXCW9PPJsArKvfiOyYD25uoDOwEhsF5\nkGEo8lMyMK2HlQHTTxNwFgKKzPTNorK1FX2eZKQyYygSgTX9XosU1xKGGSvWO1oEuZQZ4JHTj8JC\nxMKrN2kmWtTXqlgxi2+0/5ZRV3l+La7dpBN1ubj6fZyUQyffhXxEvVzHicUIyj5RJyIaj7BSFu1Y\ne/+57BGHSzuXePzM+7j4/HNcOP8w+YHCHWAkSvaNZp2N8jq9Ug8rZtHo1Xn+1kXOTZ/nVOkBnjj3\n5Nuayv52ijfV4PPNip9lceIfZxwUJM2ks+SDPF/8/t+QmE4SBCH2qI3neeQSWXpej7AekKjFKfkl\nDg0f5vzDF6AC35l/hq3SJr2aR+AGhOlQlaTa4BxxiLKRYSiGGJkpXy9EKPVNjBWJEDYkk9vE0Otl\nM5dso4naPJcwahpJ1EafQ5W6hDUnIBdgZprmMW7XHX1dmXGawJQ1RYGkqtf1ql7POIYNmUCB8wRm\n1krkkw46OtsY0V3pwQmBQmxpdtlXoGcIYw/jYqSyQIHBIf2a9BtFdmoKk/EsoUBnD5Vhynsnw9DS\n65JZNKHHL+tnBEOMEQmycX3eOkYJpIHKqnt63aJ4ckN/ncB4ya3r9ZzRzy3MywTYN2zecehdvH/0\n/VzbfIX2VIvV3WU6Ax08x6NdbLMTbbOT2cYb92nFm/ScHr3NHqEdECUi/KyvlEPqELR8NWYyGGB1\nlTi3nbaJuS75MEcimeTUidPUX66R7+VZvbJCMVNkt7rLcG6Yta01askq88uvEOYimusNomxEwkuQ\nGczSvNLgP3r6nzA+OsHZIw/xyPFHOXv0obeEUG/fD+2n7IfWjzc/Lq9e4qHHz2NZFslGku3SNtVG\nhcZWgxQphqaHyKfyJEaSdMMui5sLZK0c2JBMJQnSAb2Xu9iDyuiQGbAalmI3diO18VVQf/cwm6Z4\ncsn8kSh7iJGjlPNkMFoYcy5KPUMIIUIXX9L3WMS4JU+iVDge0McIiIn01AzGgHNDv76JGV4WTy4p\ntQlF/pT+fke/NoYq0xUx2YbIax3GOE/bmI18GzNrt4uZq4pQwCDGpE19/RVUJppFZURC8EhgrGnk\nA8MyRjNTsuY4RiBZPNbG9Pt3DQWOmxi5sR2UokoC8+HhjL6PxBgKnCb1dUR4egHDjpSe5TjG502s\nep4/sHbNHg0zIfPzrxBvx2kON1i6tYh32IMURGGkRJEPQzfTJWpEhkG6ot7HyFF0fr/mE2UjogxY\n3RBn2ybMhdjY+KGPd8sjeyxLN+ySy+bJjeXwkj6Tj6te2Eq0zCef+QS/cvzDLM4v0Ak6JAoJRqJR\nqq+UGR4eobBV3O+19ePtE31Ae5PjzfQjOmgOePjwLJUbZQpDRRqNBlEUsfL9FTr1NvaIQyyMMXpo\njKAS8uDogyx5i3SiDs54jGAvgBI4aUfZ20cOkRcS+qEpDYo2YAXju6WtQ/aZgSJmu4fJKnIYzUfZ\nFLuoDfUWpoc1rI9ZRG3iotCxjtrohU24hcpabIxdiijDC8lDdAWTeg1zKIARwBX1filjivSTZJLz\n+hzpP+2hgEtILGJ9I9nfCMYCRnp9yQP3kvekirHCmcJIiWmlln1aPyiwKGMYnNLbEgudHf2zGNPv\n8bZe61V97aP6ZyS2L22MbFmEcTPYw/TL8pjSZALDmFzWa7qp7zOOkgMTmbMd9gG7XCjznZVv4a/4\ndIod9fMTuTBttxP5kRm7EJNZn/2B83AmwnFtwm4Eiyhh7RsQuAFWzMKahsXmIif9tNJFXV/ZBzMw\n1Psrq5f52GMf57/7i/+W9fo6eavAo7/wTnID+dt6bf14+0S/5Pgmxo/qR/TaMsP8wjVqSQVqiVSC\nBAnmX75GrOaQDbIsVhfwjnhYgzb+oE/lSoXTs6cpMcDOzja1Rp3aXhW/GGCtW5CHqBlhJSxigw5R\nIiJqR7AGVtyCPcsMNUsGcgvjCC1WIQf1/yyMqv0qZobNxjAlxSdL+lev6u+PYMYEhIggZASRphKC\nxjqqzyO6hg1UNoQ+RvpVImIs/R/J+mb1MTIHJuMF0msaZZ/4sD9AXdHPJf5sMr4gQ88CWLuoDE4k\nr8qY0QLpe21iyosyCC7gN4NRkpeeYaTXJIBZxgxMS79NXpesUzzZJMMWaTCxjpH3NsSQeAQIpZ84\ngsrqhMK/jpLVCsAuORBF+IFPr9pT2XXpwPPtYlT/Cwd+5gesh6w5CxsbJ7KxHAs7aWMtWQpEfUjm\nkjhjDlE3otfoUayU2KvtshIus1vZIZPIEI8nFLg14InzT3Ju7gLre2uMHR8nkU7et+fYz3L0S44/\nXMmxD2hvYnz2mc/QGGnc9knSztnsLe7d0+TzYLz2l/i15oA3t27g2A7vPv8eFlZv0jzUIHIiojIk\n7ATpyTS1V2pUnSqHjh/m1Zev0R5tY/cscqN5wlZAkAsgDvFUAmvdJj7hEtgB8dEE9oieLxIAqGLk\nleIoEBGAqqI23CpqE17BDF1LNifivwGGqCHCuXJMB+NGvYHaaCXjE51D6eeBcdYew/TDxvT3Gxh6\nv6Wvu4xh921gRHilxDeMobRLrw9Mye8mqv+Wx2SI0pty9LMIpX4PVcYUQeE9fS0pDXooAFrQ7822\nfm+mMGryJb3O1IFzd/TaZF4tjQKaDsb1W9iIVf1cMuuXwYwhrOpr7mJctIW0Y+n15vQzoN+7DOrn\nBthJmygeEZZDM1ogGWsK02N0MSSjNcwA9ja4w3Fydo6Y7eA0YqT9NG7dJWWlSLop8okC9opN1sni\nbseJ/Ah3yKVZbNJze6xvrTGYHsR14/vmublsjmMDxykv7UEdRnqjfOTRj76ly419QOv30H7qcbBE\nKPF6Q5yvLU9+8OFfpFQyvkmvldlKraaYPTtHbiBPmw5uzCWKQRAPiBIhvaDLTnObsaEJrtdfxRvy\nSI6lCIOA3nqPBEmChQAyYCUglogRdBTlnwisyMKqW0RuZEAhpSSMogbQ02Anc1kiHyWCtKIscVCZ\nw8P4nIm6hWRq0p8RkeAapqwpIrl1VEYm7tAHSRxp1KYqKiOi57iM6SfJ0PdN1OYsFjZSLvVRACRZ\nmxh8ljEmoHsooBYgu4oCSR8ztiByWlJay6Cynav6mlLyk6Fqyd62UYPdokFZwpQrEyjKf0c/Z0K/\nNwEKZMR6R0q84msm685i5snSmPEDV6+ziXGcflX/u6iexRqyoGjcI7Ag8GXGAtPTLOmvHXVNO28T\nux7D2/KUCo0NzFi4ORdn1aYUDDCRn2CvVaZ0uEQ8GaferFEdrjE6PUrcjauSYsxm7zt7OEccht0R\nXn1+nmAsIGbFuLJwhfPFC7dR79/uGob9UNEHtDcx7qbEf68hzoNDoaIx96++9S/5w+IfkE4W9487\n+B/107FPsVJcptGs06m36Q726HhtYriEboQfekTVkJ7XxS7ZEKq5G9txcAoWuShHt93BGrPIDeRp\nNBrYoU2yl8Jb8vAGPeyUrTZMUYUPIepE6t8NTFYlc0s5FIiJ+r70caQsJ/R0UXAXA82MPkdGBHZQ\nG+oYhuIuLEcfM/9VRfWPZDhbFOOHMBR72cCXMKodY5iS4jamPDqDobKjzxMlEcl2evp4md8qYQaO\n5X3Ywrhjy4xZqNfWQoHLLRR5YwNTihQ/s5Jel1jVCLNxTD9HEgWOwkz19XXnUQApwJzEmIt2MQPs\nIsyc1fcro7KnAX2dYf1+SB9sJ1KAVUCVdo9hSDjrmB6k9P8ssHs2qVyKbqmLNWZhZ22CeEB802Ww\nOcy7n3w3K40VivkS7zjxThbWb9K63uLpo7/M97b+Dj+maLZRFBGuheQG8tCE6/48xbkS1c0qfuSx\n/uoq//Xv//lbOgPrx48n+iXHNzFeWyJ8vVr+3cqTTt6mulzm1KEzd33+4dwwX//e3/Ji+QVi+Rjb\nS1tEcbBjFrZlE7sR4+jIUWrxGulimp7fob3bhmyE48UIuj5JL0WsHCOwA+yMTTqbIVVNqQHsKMDf\nVA7X7KA2swxYu5bpy4DaLIf1v1cwpb9dDD29jCpdtVAltpDbN+kqJgvTho37+pAPYNTvLRSzMImh\nyUsmUtFraGDYlyJInMRs3kMYQNPPRA/T5xP7mgqm7JjB9JTWMB5pQnYQo9AOCszKqJJgDjMQLYQQ\ncY+WvpQ4gQ/q4/f0tWWezcJkZKIDuavfz7x+hlWM+LPMkAmASrlXemgi7Czi01LCLejnkwzPxRB7\nwGSVIpO1rf8WFqcMn4dg79gk8gks28YvesRKLtQikm4SHMh38xSmiwwlh1i5uIxX8yi1BviDD/0h\nH/3Qb3CidJJnv/M9LN8i287y4ImzVJZqhPgEUyFuyiU7lCU/lGd0ZJyiX7qvMv5bNfolx37J8ace\nb8SP6F7lyYpXueNYMOXJWzdu0bQb5PMFxjrjNBbrhKmQdCPDE08+SbaQ5atf/TLRTMTQ+Ahtv0P7\nuTaRA71mj9LYAO+48CiXrl2ia3eINiNa1Sap4RQ0IOzWcAddOlYH1iychE24GRH4vtr0hDSRxgwo\nF1CgMoUCmx6GICDzURbqU/1BCasyCti2MCVK6beJ4/MkJisRh2spO4qSRRIj7zSJ+a0WurqsWdTr\nZfPP63UK27CJGbIWZ2ztv8WgXvsiRtZKtB/FRqZ64NwQVfqU0QEx8NxE9a4iDMiN6fdRSrQj+nVh\nZYpjgPSrxNBTgBKMLY1koR7GaFSy1DP6ecr6dfkQ0NTrc/XPL8ZtRpq0UJnsvH69pF9vsi+6HJ9L\nkD9RoHqxQuJ0kkK+QNNv0k10iJfiNLwGO/Y2L669wPGJE5x970NEUcTn5z/H6PAY585c4H8c/hd8\n7cWvUA9qjLsjfPhXP8Kf/9Wf3vb/JKyFzM3MUWv1tRj7cWf0Ae1NjtfW8tc31+7qxXSv8mTRLd5x\nzYPlyd5oj/xYgbAWMluYo1dU8grxjQTjsxNEUcSHj/8aL82/iFfwmOvOsTqyCgOQCtJkpzKs7q5Q\nypVYT65RaVXwD3m4A3GSVpKoF+F0bNrtDhRDAi8iPKwlss5gGH+LqM1WCBYl1IYqtnDiCZbEDOcu\n6L/BEAW6qA18DJUh1TD2M2B6cELaEBaj0NtHgOcwrtDiLSblTGFOCpPv4GeIORSYggJJGYAWUJXB\nYhlcbqAAcwwza7eIYXPmUcPKAkbTGFDf1MeN6DXIsLasV1id2yjQEPkwGZmQIe8sqh8oJdwEZkBa\nBrmlnxehlGDqeu2L+viMPn4Ok+XGAMcCJ1I/M+mhyjXFekczNK24pUSKC+BuxyjUChQ3iwSRTyzn\nEnkRvWYXv+0TdcBpxyg3ytg9Gyt2p/K9+JnV/CqlRJGnH32adLLIU5c+yHfaz9CNuiTsJLMzs0p0\noNfXYuzHndEvOf4Y4/Vo/LNjc3eUJ4O1gN994ndwY8nbnv9geXJvY4dOpoOdtIl1HbyeB3HItrKM\njI3gr/r8o6f+Q54+/0ukekm2t7cozg3wzmPvYnZijpXNZVa9VRZfXKS6VcGf8nHdOL2oi9t2SefS\nbFzbILoQwQBEI5EiJoxg+mMeamOvo9iQAgATGAq9zFeJ9JP0t0T9wsIYgg5iSmVpDLuyhtpAm5he\nXBxT6qtjemYyayXiyT19fFNfb0yf62HEjUXtfwwFGjJ/VzjwfWEiJvXapjBSVDKDJ5u/yG3ZGAV7\ncbYW/zH0ejsosJAB5xv6dcmoDlrq+Bi1f5EMW9bXzOnjtD3QPglGsjdhKUpZNoHKNPP6Oil93x7G\n3DSun1sqPtKvE4+1lLqm1bZIekkm3UkuzD3CmfNn2VzaZLe8Q4OGGpbO2LBlEWs4pJtphmaHSdhJ\nJicmAU2aWq3y3Pr3D/w/qfHc5WeZzR/lxMwplteXmTo8zejAGK4bf8tT8u8n+iXHPm3/Zy5ej8b/\nnoceJx/k+cbXvsbSwhLessc/fPdv89CZM3c8/zPXvkEvozKxdCLNxq01yFrEQpczk2dpXm3w0NBD\nTNsz+3TlXDbH2SMPsVpZoTRdIh5PsFfZ44Xrz7Pd2MK3fTXEmrJwujZ2y8G1XDa3NgmzodrwJEuS\nGS/R+hM1+TJGmFfKgx7G0qSB6rkIrTxAZUFbqI31DGojHUdtwDmMmr0QOlYw7DtfX2cGBZ5ZzMaf\nQG32WxhGYlXfTzbkql7TForksIYCKPFMEz+weQzxRZiQMlgtQ+hiNyMza2MotuIst2eCkik1MdqM\nm/o9E/HmVzAGqgKWwkqcwczsSUkzpa+RPnD8LEa2K83tjgGS3Zb1Ncf1ejMYE08HpUpSxggcH9H3\niqE+1EhvLwQrUH1balDyBjkzcJbnl58jdtSlfKNM4PiE2yFJL0V+KM+hs7NYNYv0dJpsK8vouDK4\ni6JISVqdKe7/P7Fti8SAy+b1Ld794GM/d5T8+4k+oPV7aD9z8Xo0/vXNNT4//zkmH5tiypomiiL+\n+tpnOXFs7jaWI9zOnswN5JWdxuICyWaKU0MP8J/8zn92z//gcu7m9gafv/g5qk6VcCjE6ToQQJAJ\nCVoBTuCwt7tL4GpBR9EAlE/6SYyuo6hv+BiQ6GCYkSJSXEKBRxW1GYpHWQYj/iukDKGQh5gy2BFM\nqXATtdnOYYZ3JStK6HMr+joXUQCwgRk4FgWUFqZkKpmVyH7Jxl9CbfBSgpSRgwoK8AQo0Mc0MaC/\nhgJ9yUzlmeqocqyvn12IMiKwLNqaAkS3UGAmZA4RNn5V/+2jMq0VjGqJWO3kUVloGTNoncSUaOV5\nbdSHEHEgEJNTDwWQy5jB+ZJ61sRWkmDAx3JtrLhFfN0lPZvmau0yJ06dZLe7w+7gDu2BNs6gQ7fd\nJZFNsNvYwQ4cnJdiPPguReYQ0tTk5NTd/594qk/Wp+T3437D/sGH9OOHjXysYOZ4dAiN/6D1BZh+\nwhe+94U7rvOBc0/hr/pEUUR9r8bCwk2a5RbnZy7wxLnXVw7/wLmnWH1hhb957q+pWTVCO4B1CAaU\naHG4ENDL9ehlPcKx0PRpIozyRAm1cboHXq9ihqanUSW2FCoLEU+wLRRpYhK1kZ5GfcKXwV8R/hWG\noxhKNg9cT9T9j6CAsqjvXcX0pdIoDcdhlGRTWq83RG3UwygwGQAeRWVn4j8mPT3pb7koULql17eE\nsaaRbFCAUHpeIoIcYga9hegSYSTAZIbMRqlvNPX3pW+3hBFTHsKUIzMH3psYZhj7uL6OuEw7+nt7\n+hkOmnSKmosITOt7WoGFZVsqKz2Fyt6ErKKz71jeJRaLUUgWOTd9gZn6IXKVHNmNDBPxKd595j04\nhxxWbiwTVSOSVoqcl2M4M0QqnsL1XaJORLqb4vTwA0zWpshv55muzPArxz/Myuoyz85/l5dvvEij\nWQf0/xO33yfrxxuLfsnxxxivR+N/ceX5/TKihG1bxDo25+ceue35RQlh4cWbfPfa3+GOxDlx6gTR\nED9QWqvRrPOXX/s023tbdPc6RHuRmRvbRQHEFrAXYdcdwqICvH2TzyaqFGVj3Kn32P/EzrS+zjZm\nwxQdSAEmKYPJjJfoI47o83xUViD9LqHGS3Yj82aSIQkjMYWxdkliyn+jeo0nMcaXZRSwimWN9JTW\nMX2jhH4WGR2YxugQjmHURrb0eyEkEVuvLYlx9N7GgGpbHyfyUujXqyigzaKAcA+jidnQ15HxCNGd\nrOl7zWJ6beOojFP848oHfn4uZoThFiYD7Op7tCCxmiBsh1gz1r6klGTBsVaMx068j3OHz9Nd7lI4\nUqBltxiZG2XYGebdF95DrpBn7dYKN7cWiB+NExtwqIRldlZ3SefTjE2Ok21kefTCuxg6MswIo/yj\nX/o4Q7lh/p8X/i+cSYeFpRusWqtcW75Gq9okX8/x99/1D8mktUzJ2yz6Jcd+yfFnLl6Pxv9GWI5y\nrXyhwKPvf9dt5whL7LeevntJkaHb0gAAIABJREFU5qsvfBnniEMxXqLneTS3GkTVSG2kYuhoQSlV\nop1p4wee+v6LGLr3aQz54WXUJtsCq2MRLUdqc57BqMZfR22YYn0yoL+WuaUhFCjMoDb6ZfYdtfFQ\nJTAhcMRR4NVB9XvmUUBYxLDvpMQJJrPJYObLVjEbeAyjNZlDgUpZr0cU8efkzcUAkJAtQowKv8yZ\nSRlTADahzznJPmhQxsyoSb8uj+nRCWguYkgcOxiDTw8FvnA7gzSuny/CZLVxfY3RA++lZHp7mA8X\nCXArcWKOi9/xCSshlm9hDdtYLXCn4hTDAicPneS5736fC++6wE5lFzYjynt7PHbuvWr4GfU+OSUH\ny7KIpxKMDUywsHuD2KpLIVnk8JHD+8eKco5UKeyWTeSCtWNjRQE7WztED739NvF+/OjRB7Qfc9yr\n/v+Bc0/dphQiLMen/97T+8e8VhprpbyMVbp/aS1Qm0fSSVIcL9FcbNKlg1f01AYbghWzSE6m6O50\noYnKJl0be9LCv+wTjoZQAduxCRuh6vfUgSkUmIECJmEZytzWAGrTFlNJYR2Ki7Sjr9NCgUlR/xHS\niRhkihml9HlkoFno8SKAKwK/DUwfTnpSYyhw0Mon+zqRYDLBnHqmfRp/hPEIm8EwL5sogJhDvRfL\nep3iei0KJ5LpHcJkxKJIYqNA6ARGlFn84WxUxjWu17WNySqLek3iDydZ6iyGBdrg9nJwpM8TuTFx\nEmipNXnpHuFAgHXEBickGoiwN5T8WfTdkBOHTlF9obpvsjnOJIcPHeb56xfZam8xxrj63W1HPH72\nvezUt+mEHfJ2gdyhHN1d9UnmlYVXSC4mOHT4MFOx6f3fTcuyWNi4SWoyRUoLWCY3kww+MMhXX/gy\nv/nU79CPftxv9AHtpxR3y96eevyDTI5PUi437yqN9eLF5zkycpRcNr9/nSiKiFohn/7Cp1gpL7Oy\nuszU+BRTgzN84NxT5GMFDo/OUlmuMHl4iu5uh0bQgCwk40miSoQ1aUPWwqnHyCxliEUuw8Ew3pxH\n5mSW5VeXaAZNQjs0NHExtdzDlAaLGEWLCmbwegq1iVr66xJmmHkLQ0BJ6deKqDKnvC4+ZGkUaIjd\nieg1CmBIFrKFApJlvcZ1VOYmRAvJ1Nb0NYVt6GFUO9ooEJzT3xdizBmMVuQWKgt6HgVOYtAZw/TR\nhEyTQPXIZDBari2D6DKoLOakFmZQvKHXL0SQWf11DcP8lHm2or5OW99Lsuab+uciaiApfY9LEBwN\niPWUT164EhLYgZLZsi0ePvQIVsrCGjDt9txAnvNHL7B5aZN8IU8+ViB3NEd9uE4mlmFxcYFO1KG2\nW2Nh/gb59xZwHZdCusDu87t89MO/ARjCUjfs7l87iiISduI2Ukg/+nG/0Qe0n2K8NnuLxcymIeWY\nRrmuN4guUTzk8jcv8c4PvXs/q6vMlyn7ZdzBNV7oPk9voMf3Xvo7RoZH+fzFz/Kx93ycxd0Fzk2f\nZ2lzkXJ6j161Rz5exPc8rBx4qz52w8ZtuEy8a5I8BeiFXH7+EqtLK8TCGISWUetoo1h6sG+ZYo1Z\nRM3I0IyENAFGXFgyCplPEwmtYRSwXEVt/GsoAMui+lBCasjo6w1ipLWW9GsOpvw3jFHNn9fXlIxN\n3K3Ff83V9wX4NgoALqMAUQCqiplTi2MUSG5ye39KMkYhykiLVAaSRcdyTD/7DmrU4GB/bEifI6XN\nQK9depPH9ZrqGOPQWwf+HsTM611GAeWq/nlIKVSS/IR+poQy3bSyFnbeVv5kXXC7Mb61903q6zXy\n6wWKmSKHD8+SG8iTLeU4dfaB/VL3+uYa/+Lf/XMuNV/CnrDxvB43dl8lPhPHKoOf9SlXKrznzGNc\nWb3MuTMX9qsUcStOl676cLYeMntstk8K6ccPFX1A+wnH/RqA1vwqjXKdF25cxBo3pJLockh+KY+V\nscjHCoTdkOeqz3Lthat0Ol0lg3UqzU6wjTVr8clnP8EffehPuLp2mVyUo5Fv4o14REMRBDEai3Uy\nUZaJM5Pk9nJUlips5zfZre1SyVTwl326g11TPtxG9dSkBCdZ2jiG0NDCiOKG+rUNbqexi9uz9Mmy\nqCxnBVMaE0ag+K4JwMgMGCgAKeprDmGU7CVTyqKysjpGrX9UH7+CGfbeQ2VDLRR4vKTPlzk7KQ2G\neh1xFHCIJNUsZjB5G5UVyihBpK8/hgLbZYzo8IsY94IGCkilLNrCaC+KxYswT0V6K6WfX6S5VvQ6\npKw7hBEjlvesrs/zML3FLspFuhkp54WORTQO1xfnOfzeWbbWtrBGLF64cZGHOE+qlb5D7X4mO8Nq\nYpluu0t9t64qCdPgrLv7c2c7jR1qeUPH/9hjH+evvvlv+PIrXyRdTHP4yCzZUg5vxeMDjzxFP/rx\nRqLPcvwJxg8yAD3IbHrlxis8u/BdemO926j9+VyRs6UH91li/+vX/2dupF6lOlSl47XpDfYI2wGu\n7VIsFrESFkPBML/19O+yuLZI/nSe4dQwa6trONikkimytSwD4QBPHvpFJpOTvHL9CjvxHXx8rAmL\n6Fa072e1v1GmUASGAAU4FdRGKV+XMK7PtzBq+MIEDDBCwKIeLz2fnr5+gCphisxVAjM6IEw88fAS\ns0thCLb1eR1UxgcmOxvDzMsJWWVOr1GAoYDJsmTIWfzVREeyigLqExg6fFevU2xjZAZuSF8TjOpH\nEwNeVfZNMIkdWNemfj4pg8r7M6jPlx6jCCcLcI9ixiOSmL6Z/LcKUOBX11/LPcVF3LawHIhn44xO\njZMlS9EqQhz8qz5zA3Nc277K/MI1hnPD5LI5vvryl7nVWWJ9b52dxjae52GnbeyWTW5IlcmjbsS5\n3IV9YeFcNsc7Tr+T9x3/BdyeS9xPMOqP8nsf+F0GisM/l/vA/USf5dhnOf7Mx71mz+7GUvzAuaf4\nNxf/X6yxewuz/tuv/2sWywtU2mWCMCT0Q6yCRafSod1Q9Lykk9onjUgTfmxknMd4nG9f/hZbjU2s\nVZtD9izHR4/zl0t/wV6nQpSIcCYdwigkLIRGAaONYdhJuW0VlSWI2vwOakPPY3pEM6jNv4EiUwho\nVTA6iBso0BzR15zSDy5sP9FW3MaUGMUZ+RV9vaP6a1DEEaH0T2CIIQn9WgwFTGVMBhbX9xcWokhl\niYBvSr8H6xhNxoQ+Toa3xa5lAEX/7+nnBkNIEaAWAeAjmD7jTRTgWBhDUrGxCTFSVcK2FEUVMUcV\nYs6cvu+Cfu5NVNkzixmBOINSOCmgSrih+jlau+CteWSPKCDKpwqcOfIgjWady8uXqM/U93u7n3zm\nE/zK8Q/z3Svf4cbIdeySjR/36XldOptthnxVR42iCHfD5YkPmsxO4mD5PRazKZUylMvNO46TuN9K\nRz/eXtEHtJ9gvBED0PHRCZ46em9h1vXNNb6y+CW6M11FebYgeiki6kawC/WdGle2LjOaGOGBE2cA\n04Rvthp8b/67rDRXCJMBdmTzrcY3eOYT32BweIim16Cz0YYORFZkVDxiFniRmccSluJh1Aa7gDH4\nFKCR8tyrKHA5jdrQy6jNdhyjdrGN2sQFLJYxWVmIykLKmF5WiPoNvqTXcQyjQRihsqIF1MYuxqJg\nXJ8t9o0pyWDKiWJQGqHA5igK1JZRwHiw7CkZo4cCsDoqy0nq89b0OULpX8cQajYwxI+2vpeLcQsX\naa9DGECro3pjExhFj7w+LoWxm7movy9mowKoMp8mIs+X9LOeYt8h3LIsGAH7hoOf8ti4tc6RI0cB\nuLl+g3QxfceHsk9+8RPYWWUQSw5SiSRe6GHXbJLdNPGNBG7F5Y8+/Mc/MvDcjTD1yWc+wcce+3gf\n1N7m0Qe0n2C8EQNQgF9/30cpP1O+jdrvr/o88ZhSJk9PpXB2HOKxOEHgE81GBBcDyEN4PiRdSFHv\nNfjK2hf50KVf5oHJM3z+33+WG9F1VmrLBKWA6BYEZ0J6Oz2YgG5uDdeNEXmRMZ90UeXF4Qg7sgm9\nUGUGo2A5avOLapFh6pVQ2cIUamMeBa6gMoQiBjRkjqyJyugaKNASCxXp70yjsqtDmKxjVV9jR9+n\ngwKUGGrTF5DpokDt4KxXB8MQFGuaFkZfEQygdPR1Ioymo2RKMlj9KkakuYAhY6Cf7Yq+hmRqUrqM\nY/zG0O+HEGck8xKAFI1LAXHJIDcxvUobBaCH9TmSnfr6/RrCEE3W9fnSA/XBwsLqWKTiaYLQJ5FM\nkignKZ4s8uruPJl0htZKmwcefICDYVkW5WAPK+cwlhqnsl4hwGewFyeWdxnvjTPeGmdydorLq5cY\nHR77kYDnjVQ6+vH2ij6g/QTjbrNnAlAHY21jjS8990VqfpWiX8JeViLCBweza36VufEjXF2/Qs/p\n4sZd3AGXVqeF9aBN1sqSjjKkMxn2Rvf4vf/+t8mMZ8gOZdl+ZQuv5ClSwnGwkzaRFtiNEhHhRog1\naansrAHuiEswHeC+HCczkqFyo0w4GpHP52jvtPEJcAZtgg1tzvUqKoPYRWUHKRTIvYLaaGU+LI/p\n2zjA4xgSySbGLPQWKpPbwgDdMApkPRSINDEzbgOoTE7IIpLlNYBn9TUmMBR/KRuKhuQGCgTEbNND\nAeAFTM9PyBc1fcyz+n4iMSXU+CMY5uer+t/nUMAjmpIytC06ktKvE7CSXpw4DIhjd0OveQEF+m1U\nlirmrJIlX9fnCFtyQK91Wa9f60jaeYfB0gDddo9MkOHUmVOcfOA0i0uLdMIO1ReqPHn4gzRK0nhT\nEUURJWeAPXbp5uOMFkb3v+duurgNl8nHlV7jSrT8I2dTb6TS0Y+3V/QB7ScY92MAurq+yr/61r/E\nHleqC9GQAr2PPXL7BpCPFaila7z/xBN8/crf0qo3CcOIZCZJNptjalANr97aXqLmVQmcgJqbpFfp\nEpZCrGmbKBFCDCI72u/9WKFF4Aa4xThWAGEjJNqCTDZDZjpDOBThVl3IQUBAPlWgt9qjOdwwOo8i\nVyUZxSqGJi86hA2MZFYZ5dt10LtsSH9/Uh+zgwKtRf09B5X5ibu0MA6nMGw+keNK6HtLlrSKylCm\nMSaa11DZi48CjQf1cSKPdU5fK6avM8X+cDpDKDq9kGEW9b3FUFQcCBL66xW9xiSGMXoYBTiiECLk\nj+MY0GqhgEky0Jx+X4WsI6QPKaVGan2WY2HbDkHg3y7s7KBKjzGwNiwGEiV6PY9ms0F3qUvnUAeA\ns+cfVL9z23l+9ZGP3PVD2cd+8eP85bN/waU1Rdu3LIugGuBsOBx539E3NZt6o5WOfrx9os9y/AmH\n2Lo8cvxRzh596DYNRtu2+Ny3/4pysYLsygctZw5azotOZH4sz+GRWdJOmlJjgEwnS+F4gUQ8webe\nBru9HYJ4QLQO3tEeYStU0laD7CtKWFhqk4xDzHGIqmAPWDieQ6wdI7JDupUurWstOp22AsEhCHoB\nfiOgGCvi3/LxN30FZDKk3EJtzgHqfhWMikYHlZnMYZTpUxirFfE9E0V+kdI6h8ouxNZE9AqFqCLK\nGiv6Xl0U8QEU2IiKyQ4qo+nqc6SsKHui+J8VML0ocRnoYSSzQlQZ08ZknFkMYaWByRClJNvV54vj\ngJQ8A33erF5jW19DNC/j+n0MUMAmWVgNBei7+vvaI85KWcRiMeyygzWgPpzYaVutBfYZlBYWQwND\nBDsBQRiAb2HHLSp+mVcvz7N0dYGt3S38PZ/3Pvh+zs88fIedy7G54zwwcYZwJ6Cx2CBTyfD+4fcz\nPDhCYlSGAlWIXuQjxx/lbvGDGH6vp5H68+KR1mc59lmOPxdR9apYces2lf67lVNem+2dHDzNE08+\nyeb2Bn/yuT8iOhFR79YJYyHMQ5gOoAFROgLfwt2OEZQCwpWQaDIinoiTqCVptVpYBQheDfCLPonx\nJF7gEXUiI6dUZ38uLTwastvbIUpFOGUHP+srLB7EaBAu6T+igCGUeWE43tDHSYmyjemniX3NLYwu\nolDpixhgFH3GMVRmNYDKrARUipgMUspuHVRmJGLFKxhH7jSm5ClzdWBm6dKo3pMQULTrDinMPBqo\n9yyDyRqTGFUTYVcKSUTIMnuYwWoHBb4tFDDuoDJLmUfTz2LtqRKxXbOJRiMoQxRXBJ74mEtwMyCW\njeH7AYHvww7Y47ZiHnou3XQXO+mQHyvQ7XSpXq0SjnaoXq6y6+4Sq96iOVjnn/wv/5h3PvBupkrT\n/OojH7mtajA+OsF//A/+09t+Tz/9hU+xEi2/bjb1WsbiBx/+RUqlY9wr7qfS0Y+3Z/QB7WcsCm6B\njWj7ttfuVU65m07k+OgE/5R/xv/xpf+NhVdu4oYu4ZDqifk9HxJgxcB1XTKbWeJhAvuSzcTJCXb2\ntnDLMfyiT2+9R+CGhCsBdmATpkOikxE8BzyBAqEhCHYDrNAiTZr6cF31Zc5iPMDEDLOMUbEQW5Qu\nZpZtHaOGL8QGERcWGv5VFCCkMHNrrr5PFUM2SaDAUyj6B9mLYGblHIwRaRuVyfmYGbsxVBYjxI+T\nmHKqyGjdwmgzNjEu0SJJdejAfW+hsjdRwE/p1wT4JfMsofpegyiQ7aEy2TTGrDSFoehnNSknDU7P\nwdl2iGpgbUIsFmNifIpSoQSuxfLeEjvlHZiIsGwbdzVGMpmi7bTpVDuEsYDeokeqkKS+UVeO5dMR\ndsxmfmeeUjiAU3Vglvvqhf2gvvELly7yz/79P8Ub80g6SQ6PznLrW4v8YfEP7vAFPBh9j7R+3C36\nJcefobBti0OjUzzz3LexstY9yynrm2t89pnP8My1b9w22CoxNjLOh979K9CJuGpfoTfSI9IeXmEj\nxG7YZFtZDl+YYzY+y//we/8Tt24tERuOM5oZJRa5VFplGIDAD7FyFsnBBF7HUyA0jtq8B1GbbNsi\n7iSw4zb+tmcsVQ4OSW+jQEoULnb0MVJ2FIsX0Ss86CQtH+5lzksAQ9iCJUym4+v1ySBxAmN3I15i\n4vYsmocb+v6OXmeEIo1sYaxwqhjX5yYGNLf0NY+gAFi844SYIhYvIjAspVcBW7F+GcRIY8n1r+v3\n7wxm5q+jz5WRBkufcwUYAmvGIjmTJD4Wx445DGQG+MhH/j6DE4N03DbJVJLOrQ7ZWIaB1ACTx6dJ\nJlLsvbgLLiTCBNFQSHezR+iGMAZ2ZBP0AqJ0CI6FVbE4cezUXUvhrw2xPrqb4/T65hp//n//CY1j\nDcJ4SDfWZX17naHRYdqbLU4dOvO23AegX3Lslxx/TmJyfJLff/wf85WLX7prOeWNzOD8+vs+yr+7\n9tfYtk29W6PVbZHcS1KYLJKoJxncGOKPPvzHnDtzgVNLp5kanqa+V6N6qYo96RCMBWrubNXC2/OM\n6/Q6auOXpNGJaHWbxFNx7KpNtB3tq8pbaQtcCLuhMeT0MJlKGkMWEb3EHX1dMa0UyrpoF8r81g5G\nEzKPIlBsYRTlz2J6cC+jQEZ6bjLALaacFX1dEQje0uda+nppjOWOzOXJbNgp/b7IkPYwKoOdwRBF\nZP2bB55dtDHTqGHqGUz2KWXVAQzI2hj3gpQ+povK8rrAEQsncKAHqWSK1lgL76pPo1nn+VsXsfM2\njMLQ3BBu2qVAEdoW3fUtZs4dYmtpiyDwCfcigkRA1FZkIStpEfYCrJhFt93BC1R99X6ZhffKpr76\nwpfxCt5t5Ug7b7O4ucCx8bk7ju9HP35Q9AHtZzAmxu5dTnntDE6jXGdh8yZ/9n/+Mb9w5snbFBPG\nRyf4peN/j7/be4aO28WKIqIjQAbGtyb449/+0/1jhTm2uLhAci7JXHWOGxs38NyespvZQ22iZ1Ab\n/xT7eozRZkSUjvDXfcK0Bq4JsCILq2sRbUTGPVosZCKUXqKPAqQQo5uYQ11DhHpBbeo2KjMRFY0T\nmAxpRh8nclmHMVkbqL7TdYxKyHmMascmRtz3OAo0tBI9KRQAgQJyyeRsFIgJyUXm3g5Kg43pdV/B\nlAoHUNlcDjNTBgo0pScoWakQUA4deM+29Hm7GGfwYaAOsaqDk3LIZrPYMYdEO8lIYZSb6zew8/a+\n+O/5sw8zX71Gsp3k7MMP8c3617lVucXk+Snq7Rrl5h6dqx0iL8JyLbAU+9WyLIjA1Yv+UZmFNb9K\n0k7Sjbq3gVon6NzTF7Af/Xi96APaWywOzuDU92r74sW9do+V4p0zPh95/0ep3GU4+2O//XFANe1r\nfpWoFVFeK9MJO+r6LlCLCLwARsDqWthJW7Ekj0U4aw7WgEXwSkAyncTddqnv1hUIaXX8yIpgC+L1\nOB27o4BLyBXSbxLmoZhaggK+BYzclPTjZDaro8+7oV8fRoGNjAmI8LEAmqfX1NR/ZjHDyUkU/X9B\n3zePGbKe0PdLYKjy1/T1tvXafEwZVRQ5hK6/qO//EOrZU6henPQEQxRAj6P6g4dRIBbo6wcHXpOy\n6hjKFSCrr3MYrHWLWCqmsswm1Mt1RrKj/MLpD3C8c5yLSxfpZnokreRtRpuXXn4ZGi+x+coGg+8b\nIJfNkUgk8C2f+EMJKl8rY61bhCMhiVgCf9cn7+UpjQ/cc4byjUQ+VuDQ4cO8eON5OCDA7W66PP0b\nT//gC/SjH6+JPqC9xeLgDM7i4sK+En/CTt51xudejDDgjma9NQ+FvSJbiU3W19aJlWLErBhRNsLO\n2pTmBmhtNOn2uliRTc7N4ZxwiBVitK43iZVj+McCtRG3IJaMEWVDslezOKkYTacJy5H6rdtAbdZN\n/W9xrN5FgUcGtUEPo8ppJ1GAsIcCsll9rJiCPoAR+r2IAgRQwCTD0BUMOzDEZD3iJdbTX7f116L0\nL8AoYCXEjwg1yLyKKjtKxrWIAsMbqHm2MkYHchKV+U1iHAy29H2+i1Ebmdbfb+lzBVDbqCxP2I8v\nQLQXEQ5GJFIJ4hMumVSW1k6LYC3g137to+RfKLJSXL7tg9D86jVGHh7l7NEHqboVlvYWiccTVDsV\niEOiF2d8YgIrZtFYbOBGLoeHZ0nmEhRbA0xXZvZL4T+sruIHzj3F4jMLPHTkPEtLS3TCDm7F5b/8\ntf9q3xewH/14I9EHtLdYHGSNdXSpJqyFzM7MAvem+L+2hPnpL3zqDr+1BHHOjD1Iq9wkPZbGa/Sw\nehbReoQz4tDtdrA8m2Q9hdO1yXk5Aten43XpbHQIcyF20sLGxk44xFNxvG4PL+sT913aoU1YCdQm\nLbNlDurrFb2wMmoz9/SfcYyTs/wRc87jaiA4Oqr0K0mgAOEQakxADw3jocp+e/oY6aWlUIAnIwOn\nuR38bFRmdUWfM4FxCahj5LNaqB6YpZ+phCopbmMU8hPcXoqU/lxLf91Qf7KzOYKkTy/VI/IiQidU\nx4h2pBBDxA/OV+sNcj5hN0ZvHrIliOPy0rUX+NPGH9NptmhFbR547xly2TwLCzchC3O6T1VIFhjM\nDLKxsE6HDk7CZnR4nMGZATrJDtY5m2Q7ycNH36Gy+wMVgB9FV/Hgh62pqWn1Yevck0xPTr3uef3o\nx72iD2hvsTi4CVxvzNNud5ibmSObUSzH++1r3M1vrRt1ePb6dzmVP836xjqNch03dOlpUPLXA1zP\nxcnZTJ6aoek36Sx0abzQoHCkyM7CNl7kEfUi3IRuXkUodtu5UarXayojET3HEsZAUzy8RGpKzCrF\nmFIGtevgdGKE8YDI0/5dQt1P6nOE0r6DAr4EKuvJooBEmII1DBmkg5GmSmDKmELkKGHIGZL1CWg6\nqJ6imJCKu7WDKmGKAoioc1RRvTrpl63rtZWh0+sQrgWE8dBYzxzF+JeJ67W23LHGbKJMBCMR3oZH\ncjBGzarRa3qst9apdqok3ATJXpLLX7vMO0+/i1QrxdzJI/u/M8OjI7z00ku4QzFKVol2us3u4i7n\nHjxPJqUcqJPNFNNDM3fMe/2ouop9+n0/3szoA9pbMGQT+IWHnlSfjtOmSe+v+pw+/sB+b+xeJaB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S2FUwI9UCAJqUMKWL6Db7Il2bqsJGt3tau9zuX8MdbKsmRZNrIkpPfzPH4ea7U7+87saH47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\nMbj55pvZs2cPK1asACCXy2EYBitXr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3325OlU9wpjzK1u7bNnRZSYdE6DYQ37/4ArPeLFmni3q7AbzTCJ5P9fPg0HvI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\nuw4+vucxEpPw0tyLxDrGVS4D2cF0BWJ1Ele5dAfdlDIlIh2xt3sfPZk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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -453,35 +450,33 @@ }, { "cell_type": "code", - "execution_count": 10, - "metadata": { - "collapsed": false - }, + "execution_count": 12, + "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Optimization terminated successfully.\n", - " Current function value: 365347.058264\n", - " Iterations: 2\n", - " Function evaluations: 3\n", - " Gradient evaluations: 3\n" + "Warning: Desired error not necessarily achieved due to precision loss.\n", + " Current function value: 365347.054715\n", + " Iterations: 4\n", + " Function evaluations: 71\n", + " Gradient evaluations: 59\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 1000/1000 [01:47<00:00, 9.64it/s]\n" + "100%|██████████| 1500/1500 [01:48<00:00, 11.93it/s]\n" ] } ], "source": [ "with pm.Model() as model:\n", - " mus = [MvNormal('mu_%d' % i, mu=np.zeros(2), tau=0.1 * np.eye(2), shape=(2,))\n", + " mus = [MvNormal('mu_%d' % i, mu=pm.floatX(np.zeros(2)), tau=pm.floatX(0.1 * np.eye(2)), shape=(2,))\n", " for i in range(2)]\n", - " pi = Dirichlet('pi', a=0.1 * np.ones(2), shape=(2,))\n", + " pi = Dirichlet('pi', a=pm.floatX(0.1 * np.ones(2)), shape=(2,))\n", " xs = DensityDist('x', logp_gmix(mus, pi, np.eye(2)), observed=data)\n", " \n", " start = find_MAP()\n", @@ -498,10 +493,8 @@ }, { "cell_type": "code", - "execution_count": 11, - "metadata": { - "collapsed": false - }, + "execution_count": 13, + "metadata": {}, "outputs": [ { "data": { @@ -509,15 +502,15 @@ "(-6, 6)" ] }, - "execution_count": 11, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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sTLIwskA1UaHWXpOu/TVgGqiB2WmSaktTPFRAdINf8dCEhqd7oCG9JpuAEnAK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9jPXxD2PNZDtunnedGfQ427/TgDf9nPVc6sjkUbfRgDyWWMLUVsHV6x4Ni5F/1rNUwBYACLojTH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3NKh647ol+P6fsO62t0UYCZRmV0a+AMOySGE4TlEN8KKIUlYrUYvuPDjEXGS9OutfB2ejgt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\n7kpPZLPZGBgY4P7776esrAyA9vZ2/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7+/ZyunySsfIo27tv29RlJR0SodtEfO/iC8x5c2SdLurtBvBOI3g+1c8DQ+8j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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -543,49 +536,21 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 15, "metadata": { - "collapsed": false + "collapsed": true }, "outputs": [], "source": [ - "data_t = tt.matrix()\n", - "data_t.tag.test_value = np.zeros((1, 2)).astype(float)\n", + "minibatch_size = 200\n", + "# In memory Minibatches for better speed\n", + "data_t = pm.Minibatch(data, minibatch_size)\n", "\n", "with pm.Model() as model:\n", - " mus = [MvNormal('mu_%d' % i, mu=np.zeros(2), tau=0.1 * np.eye(2), shape=(2,))\n", + " mus = [MvNormal('mu_%d' % i, mu=pm.floatX(np.zeros(2)), tau=pm.floatX(0.1 * np.eye(2)), shape=(2,))\n", " for i in range(2)]\n", - " pi = Dirichlet('pi', a=0.1 * np.ones(2), shape=(2,))\n", - " xs = DensityDist('x', logp_gmix(mus, pi, np.eye(2)), observed=data_t)\n", - " \n", - "minibatch_tensors = [data_t]\n", - "minibatch_RVs = [xs]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Make a generator for mini-batches of size 200. Here, we take random sampling strategy to make mini-batches. " - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "def create_minibatch(data):\n", - " rng = np.random.RandomState(0)\n", - " \n", - " while True:\n", - " ixs = rng.randint(len(data), size=200)\n", - " yield [data[ixs]]\n", - "\n", - "minibatches = create_minibatch(data)\n", - "total_size = len(data)" + " pi = Dirichlet('pi', a=pm.floatX(0.1 * np.ones(2)), shape=(2,))\n", + " xs = DensityDist('x', logp_gmix(mus, pi, np.eye(2)), observed=data_t, total_size=len(data))" ] }, { @@ -597,25 +562,23 @@ }, { "cell_type": "code", - "execution_count": 14, - "metadata": { - "collapsed": false - }, + "execution_count": 18, + "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "Average ELBO = -323,469.35: 100%|██████████| 1000/1000 [00:00<00:00, 1263.06it/s]\n", - "Finished minibatch ADVI: ELBO = -313,792.75\n" + "Average Loss = 3.2644e+05: 100%|██████████| 1500/1500 [00:00<00:00, 2353.04it/s]\n", + "Finished [100%]: Average Loss = 3.2641e+05\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 11.9 s, sys: 649 ms, total: 12.6 s\n", - "Wall time: 22.5 s\n" + "CPU times: user 3.54 s, sys: 52.8 ms, total: 3.59 s\n", + "Wall time: 3.6 s\n" ] } ], @@ -623,10 +586,11 @@ "# Used only to write the function call in single line for using %time\n", "# is there more smart way?\n", "def f():\n", - " return pm.variational.advi_minibatch(\n", - " model=model, n=1000, minibatch_tensors=minibatch_tensors, \n", - " minibatch_RVs=minibatch_RVs, minibatches=minibatches,\n", - " total_size=total_size, learning_rate=1e-1)\n", + " approx = pm.fit(n=1500, obj_optimizer=pm.adagrad(learning_rate=1e-1), model=model)\n", + " gbij = approx.gbij\n", + " means = gbij.rmap(approx.mean.eval())\n", + " sds = gbij.rmap(approx.std.eval())\n", + " return means, sds, approx.hist\n", "\n", "%time means, sds, elbos = f()" ] @@ -640,10 +604,8 @@ }, { "cell_type": "code", - "execution_count": 15, - "metadata": { - "collapsed": false - }, + "execution_count": 19, + "metadata": {}, "outputs": [ { "data": { @@ -651,15 +613,15 @@ "(-6, 6)" ] }, - "execution_count": 15, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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sTLIwskA1UaHWXpOu/TVgGqiB2WmSaktTPFRAdINf8dCEhqd7oCG9JpuAEnAK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PY81kO26ed5yZ9DjbuDOAN/2c9VzqyBRRsDGAPJZYwtRWwdXrHg2LmX/Gt1TAFgCIuiNMdD3Lr3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Kp0LC3RBCSC4kBOnAYMfgIifVgvK49Ir0BPP+t5yODPsMZpiFTNQOX1Bw8adUx+gV7hXpV80d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evr2cKp9grDzK9u5bNnVZSYdE6DYR37vwHHPeHFmni3q7AbzTCJ5P9XP/0HvI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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -689,16 +651,14 @@ }, { "cell_type": "code", - "execution_count": 16, - "metadata": { - "collapsed": false - }, + "execution_count": 20, + "metadata": {}, "outputs": [ { "data": { - "image/png": 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DePXBc/DBtznI3FeKbzfnYf7jF0jr/fezgHGipr4Zf7rqLLibfVI7O2/FXkwY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\nw/8+6XPfGo+66c+Lv2nyXIbhe7aNJu4XNMO+xWLxO29zXbmGZzhvrEY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udptOVZ0Oer/G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\nq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L8MQTT2D8+PGYMGECQkNDMX78ePTs2RPTp0/H7NmzsXr1asTHx+P1119HVFQUpkyZgrvu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\nN0hqfjLnaTKZMPnanh61GLfaUn3UkHsrPa6/or9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AhNsSERHdUaLdKW1Bi/rSpUuxfft2\nAMClS5dgtVrh8XiQm5sLAMjPz0drayvcbjfy8vKgKAqSk5Ph9/vR1dU14bZERER30uO/LzgzkQ1z\nIiWkt9+NRiOcTieamprQ2NiIU6dOBRa6N5vN6OnpgdfrxbRpN/ejHTguIhNqS0REdCctnnc38v6a\nBKNBe49/Q57S1tDQgM2bN2P16tXo7e0NHPf5fLBarbBYLPD5fEOOx8fHD3kmPp62Y5k+fQqMxjC3\nDgxBYqJ21vkNB3NpC3Npi15zAfrNpsdcQYv6+++/j87OTpSXlyMuLg6KoiAjIwNnzpzBQw89hObm\nZixYsAApKSnYvXs3ysrK0NHRAVVVkZCQgLlz506o7Vi6u3+5bX8RAxIT43H1qv7uEDCXtjCXtug1\nF6DfbFrONdbFSNCivmzZMmzduhUlJSXo7+9HdXU17rvvPtTW1sLlciE1NRUFBQUwGAzIycmBzWaD\nqqqoq6sDADidzgm1JSIiotAoEu175o3hj7jK0vLV21iYS1uYS1v0mgvQbzYt5xprpK69twCIiIho\nRCzqREREOsGiTkREpBMs6kRERDrBok5ERKQTLOpEREQ6waJORESkEyzqREREOqHpxWeIiIjoJo7U\niYiIdIJFnYiISCdY1ImIiHSCRZ2IiEgnWNSJiIh0gkWdiIhIJ1jUAaiqirq6OthsNjgcDrS3t0e6\nS2Hr6+vDli1bYLfbUVRUhBMnTqC9vR1PPvkk7HY7tm3bBlVVAQB79uxBUVERiouLcfbs2Qj3PDQ/\n/fQTFi1ahAsXLugm1/79+2Gz2VBYWIijR4/qIldfXx82bdqE4uJi2O123fx7fffdd3A4HAAQVp7R\n2kaLwbnOnTsHu90Oh8OBsrIyXLt2DQBw5MgRFBYWYvXq1Th58iQAoKurC6WlpbDb7aisrMSNGzci\nlmEkg3MN+OCDD2Cz2QKftZgrJELy8ccfi9PpFBGRb775RtatWxfhHoXv3XfflR07doiISHd3tyxa\ntEjKy8vl9OnTIiJSW1srn3zyibS1tYnD4RBVVeXixYtSWFgYyW6H5Ndff5Wnn35ali1bJufPn9dF\nrtOnT0t5ebn4/X7xer3S2Nioi1xNTU1SUVEhIiItLS3yzDPPaD7XgQMHZOXKlfLEE0+IiISVZ6S2\n0WJ4rpKSEvn+++9FROTtt9+WXbt2yZUrV2TlypXS29sr169fD/x6+/btcuzYMRER2b9/v7zxxhuR\ninGL4blERDwejzz11FOBY1rMFSqO1AG43W4sXLgQADBv3jy0tbVFuEfhW758OTZu3AgAEBEYDAZ4\nPB7k5uYCAPLz89Ha2gq32428vDwoioLk5GT4/X50dXVFsutBNTQ0oLi4GDNmzAAAXeRqaWlBWloa\nNmzYgHXr1mHx4sW6yDV79mz4/X6oqgqv1wuj0aj5XCkpKXj11VcDn8PJM1LbaDE8l8vlQnp6OgDA\n7/fDZDLh7NmzmD9/PmJjYxEfH4+UlBT88MMPQ/7PjPZc3d3dcLlcqK6uDhzTYq5QsagD8Hq9sFgs\ngc8GgwH9/f0R7FH4zGYzLBYLvF4vKioqUFlZCRGBoiiB8z09PbdkHTgerd577z0kJCQEftAA6CJX\nd3c32tra8Morr6C+vh6bN2/WRa4pU6bg4sWLWLFiBWpra+FwODSfq6CgAEajMfA5nDwjtY0Ww3MN\nXDR//fXXOHToENauXQuv14v4+PhAG7PZDK/XO+R4NOfy+/2oqanB1q1bYTabA220mCtUxuBN9M9i\nscDn8wU+q6o65MuuFZcvX8aGDRtgt9uxatUq7N69O3DO5/PBarXektXn8w35ckebY8eOQVEUfPHF\nFzh37hycTueQEZ1Wc02bNg2pqamIjY1FamoqTCYTOjo6Aue1muvNN99EXl4eNm3ahMuXL2PNmjXo\n6+sLnNdqrsFiYm6OhYLlGaltNPvoo4/w+uuv48CBA0hISBg118DxyZMnR3Uuj8eD9vZ2vPDCC+jt\n7cX58+exc+dOLFiwQNO5xsKROoCsrCw0NzcDAL799lukpaVFuEfhu3btGkpLS7FlyxYUFRUBAObO\nnYszZ84AAJqbm5GTk4OsrCy0tLRAVVVcunQJqqoiISEhkl0f01tvvYVDhw7h4MGDSE9PR0NDA/Lz\n8zWfKzs7G59//jlEBJ2dnbhx4wYefvhhzeeyWq2B4jx16lT09/fr4ns4WDh5RmobrY4fPx74WZs1\naxYAIDMzE263G729vejp6cGFCxeQlpaGrKwsfPbZZwB+y5WdnR3Jro8qMzMTH374IQ4ePAiXy4U5\nc+agpqZG87nGor3h6B/gsccew6lTp1BcXAwRwa5duyLdpbDt27cP169fx969e7F3714AQE1NDXbs\n2AGXy4XU1FQUFBTAYDAgJycHNpst8Na/1jidTtTW1mo615IlS/DVV1+hqKgIIoK6ujrMnDlT87nW\nrl2L6upq2O129PX1oaqqChkZGZrPNVg437+R2kYjv9+PnTt3IikpCc8++ywA4MEHH0RFRQUcDgfs\ndjtEBFVVVTCZTFi/fj2cTieOHDmC6dOn46WXXopwgvAkJibqMhfAXdqIiIh0g7ffiYiIdIJFnYiI\nSCdY1ImIiHSCRZ2IiEgnWNSJiIh0gkWdiIhIJ1jUiYiIdIJFnYiISCf+D6qyyb/Ryer9AAAAAElF\nTkSuQmCC\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -727,7 +687,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.5.2" + "version": "3.6.0" }, "latex_envs": { "bibliofile": "biblio.bib", diff --git a/docs/source/notebooks/lda-advi-aevb.ipynb b/docs/source/notebooks/lda-advi-aevb.ipynb index 9983f98d25..13119c44e2 100644 --- a/docs/source/notebooks/lda-advi-aevb.ipynb +++ b/docs/source/notebooks/lda-advi-aevb.ipynb @@ -17,13 +17,21 @@ "cell_type": "code", "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "env: THEANO_FLAGS=device=cpu,floatX=float64\n" + ] + } + ], "source": [ "%matplotlib inline\n", "import sys, os\n", - "\n", + "# unfortunately I was not able to run it on GPU due to overflow problems\n", + "%env THEANO_FLAGS=device=cpu,floatX=float64\n", "import theano\n", - "theano.config.floatX = 'float64'\n", "\n", "from collections import OrderedDict\n", "from copy import deepcopy\n", @@ -38,9 +46,9 @@ "from theano.sandbox.rng_mrg import MRG_RandomStreams\n", "\n", "import pymc3 as pm\n", + "from pymc3 import math as pmmath\n", "from pymc3 import Dirichlet\n", - "from pymc3.distributions.transforms import t_stick_breaking\n", - "from pymc3.variational.advi import advi, sample_vp" + "from pymc3.distributions.transforms import t_stick_breaking" ] }, { @@ -61,9 +69,9 @@ "output_type": "stream", "text": [ "Loading dataset...\n", - "done in 1.923s.\n", + "done in 1.801s.\n", "Extracting tf features for LDA...\n", - "done in 2.227s.\n" + "done in 2.521s.\n" ] } ], @@ -103,9 +111,9 @@ "outputs": [ { "data": { - "image/png": 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oULkoGbASKYgngBLhuZxtxmENGKsoEYWJASuRgsStcOzDWsyM7ZD+PqwS7kNX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\njbBz50544oknYPPmzXDZZZcBQMfaOtFdob373e+GRx55BL75zW/Cj3/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SyodVvVTuocJq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\no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O7vQcjlOyahb/8/E2DIwP+huwJovy9dbIvsGPsOvQm3y50iMY7n0ZYyNJPP1//wOvPvuc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\nWAw33XQTFi9eTGnogNHRUXz3u9/F0NAQ0uk01q5di7a2Nqx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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -168,7 +176,9 @@ { "cell_type": "code", "execution_count": 5, - "metadata": {}, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "def logp_lda_doc(beta, theta):\n", @@ -188,11 +198,11 @@ " def ll_docs_f(docs):\n", " dixs, vixs = docs.nonzero()\n", " vfreqs = docs[dixs, vixs]\n", - " ll_docs = vfreqs * pm.math.logsumexp(\n", + " ll_docs = vfreqs * pmmath.logsumexp(\n", " tt.log(theta[dixs]) + tt.log(beta.T[vixs]), axis=1).ravel()\n", " \n", " # Per-word log-likelihood times num of tokens in the whole dataset\n", - " return tt.sum(ll_docs) / tt.sum(vfreqs) * n_tokens \n", + " return tt.sum(ll_docs) / (tt.sum(vfreqs)+1e-9) * n_tokens\n", " \n", " return ll_docs_f" ] @@ -221,31 +231,36 @@ { "cell_type": "code", "execution_count": 6, - "metadata": {}, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "n_topics = 10\n", + "# we have sparse dataset. It's better to have dence batch so that all words accure there\n", "minibatch_size = 128\n", "\n", - "# Tensor for documents\n", - "doc_t = shared(np.zeros((minibatch_size, n_words)), name='doc_t')\n", - "\n", + "# defining minibatch\n", + "doc_t_minibatch = pm.Minibatch(docs_tr.toarray(), minibatch_size)\n", "with pm.Model() as model:\n", - " theta = Dirichlet('theta', a=(1.0 / n_topics) * np.ones((minibatch_size, n_topics)), \n", - " shape=(minibatch_size, n_topics), transform=t_stick_breaking(1e-9))\n", - " beta = Dirichlet('beta', a=(1.0 / n_topics) * np.ones((n_topics, n_words)), \n", + " theta = Dirichlet('theta', a=pm.floatX((1.0 / n_topics) * np.ones((minibatch_size, n_topics))), \n", + " shape=(minibatch_size, n_topics), transform=t_stick_breaking(1e-9),\n", + " # do not forget scaling\n", + " total_size=n_samples_tr)\n", + " beta = Dirichlet('beta', a=pm.floatX((1.0 / n_topics) * np.ones((n_topics, n_words))), \n", " shape=(n_topics, n_words), transform=t_stick_breaking(1e-9))\n", - " doc = pm.DensityDist('doc', logp_lda_doc(beta, theta), observed=doc_t)" + " # Note, that we devined likelihood with scaling, se here we need no additional `total_size` kwarg\n", + " doc = pm.DensityDist('doc', logp_lda_doc(beta, theta), observed=doc_t_minibatch)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "## Mini-batch\n", - "To perform ADVI with stochastic variational inference for large datasets, whole training samples are splitted into mini-batches. PyMC3's ADVI function accepts a Python generator which send a list of mini-batches to the algorithm. Here is an example to make a generator. \n", + "## Encoder\n", + "Given a document, the encoder calculates variational parameters of the (transformed) latent variables, more specifically, parameters of Gaussian distributions in the unconstrained real coordinate space. The `encode()` method is required to output variational means and stds as a tuple, as shown in the following code. As explained above, the number of variational parameters is `2 * (n_topics) - 1`. Specifically, the shape of `zs_mean` (or `zs_std`) in the method is `(minibatch_size, n_topics - 1)`. It should be noted that `zs_std` is defined as $\\rho = log(exp(std) - 1)$ in `ADVI` and bounded to be positive. The inverse parametrization is $std = log(1+exp(\\rho))$ and considered to be numericaly stable.\n", "\n", - "TODO: replace the code using the new interface" + "To enhance generalization ability to unseen words, a bernoulli corruption process is applied to the inputted documents. Unfortunately, I have never see any significant improvement with this. " ] }, { @@ -255,69 +270,6 @@ "collapsed": true }, "outputs": [], - "source": [ - "def create_minibatch(data):\n", - " rng = np.random.RandomState(0)\n", - " \n", - " while True:\n", - " # Return random data samples of a size 'minibatch_size' at each iteration\n", - " ixs = rng.randint(data.shape[0], size=minibatch_size)\n", - " yield [data[ixs]]\n", - " \n", - "minibatches = create_minibatch(docs_tr.toarray())" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The ADVI function replaces the values of Theano tensors with samples given by generators. We need to specify those tensors by a list. The order of the list should be the same with the mini-batches sent from the generator. Note that `doc_t` has been used in the model creation as the observation of the random variable named `doc`. " - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "# The value of doc_t will be replaced with mini-batches\n", - "minibatch_tensors = [doc_t]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To tell the algorithm that random variable `doc` is observed, we need to pass them as an `OrderedDict`. The key of `OrderedDict` is an observed random variable and the value is a scalar representing the scaling factor. Since the likelihood of the documents in mini-batches have been already scaled in the likelihood function, we set the scaling factor to 1. " - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "# observed_RVs = OrderedDict([(doc, n_samples_tr / minibatch_size)])\n", - "observed_RVs = OrderedDict([(doc, 1)])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Encoder\n", - "Given a document, the encoder calculates variational parameters of the (transformed) latent variables, more specifically, parameters of Gaussian distributions in the unconstrained real coordinate space. The `encode()` method is required to output variational means and stds as a tuple, as shown in the following code. As explained above, the number of variational parameters is `2 * (n_topics) - 1`. Specifically, the shape of `zs_mean` (or `zs_std`) in the method is `(minibatch_size, n_topics - 1)`. It should be noted that `zs_std` is defined as log-transformed standard deviation and this is automativally exponentiated (thus bounded to be positive) in `advi_minibatch()`, the estimation function. \n", - "\n", - "To enhance generalization ability to unseen words, a bernoulli corruption process is applied to the inputted documents. Unfortunately, I have never see any significant improvement with this. " - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], "source": [ "class LDAEncoder:\n", " \"\"\"Encode (term-frequency) document vectors to variational means and (log-transformed) stds. \n", @@ -366,12 +318,14 @@ }, { "cell_type": "code", - "execution_count": 11, - "metadata": {}, + "execution_count": 8, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "encoder = LDAEncoder(n_words=n_words, n_hidden=100, n_topics=n_topics, p_corruption=0.0)\n", - "local_RVs = OrderedDict([(theta, (encoder.encode(doc_t), n_samples_tr / minibatch_size))])" + "local_RVs = OrderedDict([(theta, encoder.encode(doc_t_minibatch))])" ] }, { @@ -385,7 +339,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 9, "metadata": { "collapsed": true }, @@ -399,47 +353,45 @@ "metadata": {}, "source": [ "## AEVB with ADVI\n", - "`advi_minibatch()` can be used to run AEVB with ADVI on the LDA model. " + "Here we will use class based interface for variational methods as we will decide if we need some more training or not." ] }, { "cell_type": "code", - "execution_count": 13, - "metadata": { - "scrolled": false - }, + "execution_count": 12, + "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "Average ELBO = -3,237,774.14: 100%|██████████| 3000/3000 [00:46<00:00, 64.78it/s]\n", - "Finished minibatch ADVI: ELBO = -3,221,686.06\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 1min 12s, sys: 3.13 s, total: 1min 15s\n", - "Wall time: 2min 26s\n" + "Average Loss = 2.978e+06: 100%|██████████| 6000/6000 [01:56<00:00, 51.34it/s] \n", + "Finished [100%]: Average Loss = 2.9764e+06\n" ] - }, - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - }, + } + ], + "source": [ + "with model:\n", + " approx1 = pm.fit(6000, method='advi',\n", + " local_rv=local_RVs,\n", + " more_obj_params=encoder_params,\n", + " # https://arxiv.org/pdf/1705.08292.pdf\n", + " # sgd(with/without momentum) seems to be good choice for high dimensional problems\n", + " obj_optimizer=pm.sgd,\n", + " # but your gradients will explode here\n", + " total_grad_norm_constraint=1000.)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ { "data": { - "image/png": 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Gu7ah0iUqgqvX/uxzx5PTyGiStomFu2H6XLnKasNsqncdKDMMY2sHPXP5MeiN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wEAtbW1WLBgAc6fP4/33nsPH3zwAd58800AQFFREZqamrBz505UVlbCZDJ5BLMdHR1ITEx0CZTd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\nXCQPAE6nEwsWLNBwV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ycnJstoWEhODtt992lVWf04ZQZyDiAkVyTrERmH1BwlN9Olfn47nscXhl+1ec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\n4Ha70dbWBovFklyXMY9r167hxYsXOHDgwDf7kS2L27dvY8m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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -447,70 +399,69 @@ } ], "source": [ - "def run_advi():\n", - " with model:\n", - " v_params = pm.variational.advi_minibatch(\n", - " n=3000, minibatch_tensors=minibatch_tensors, minibatches=minibatches, \n", - " local_RVs=local_RVs, observed_RVs=observed_RVs, encoder_params=encoder_params, \n", - " learning_rate=2e-2, epsilon=0.1, n_mcsamples=1 \n", - " )\n", - " \n", - " return v_params\n", - "\n", - "%time v_params = run_advi()\n", - "plt.plot(v_params.elbo_vals)" + "plt.plot(approx1.hist[10:]);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "We can see ELBO increases as optimization proceeds. The trace of ELBO looks jaggy because at each iteration documents in the mini-batch are replaced. " + "## Extraction of characteristic words of topics based on posterior samples\n", + "By using estimated variational parameters, we can draw samples from the variational posterior. To do this, we use function `sample_vp()`. Here we use this function to obtain posterior mean of the word-topic distribution $\\beta$ and show top-10 words frequently appeared in the 10 topics. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "## Extraction of characteristic words of topics based on posterior samples\n", - "By using estimated variational parameters, we can draw samples from the variational posterior. To do this, we use function `sample_vp()`. Here we use this function to obtain posterior mean of the word-topic distribution $\\beta$ and show top-10 words frequently appeared in the 10 topics. " + "To apply the above function for the LDA model, we redefine the probabilistic model because the number of documents to be tested changes. Since variational parameters have already been obtained, we can reuse them for sampling from the approximate posterior distribution. " ] }, { "cell_type": "code", "execution_count": 14, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "theano.config.compute_test_value = 'raise'\n", + "n_docs_te = docs_te.shape[0]\n", + "doc_t = shared(docs_te.toarray(), name='doc_t')\n", + "\n", + "with pm.Model() as model:\n", + " theta = Dirichlet('theta', a=pm.floatX((1.0 / n_topics) * np.ones((n_docs_te, n_topics))), \n", + " shape=(n_docs_te, n_topics), transform=t_stick_breaking(1e-9))\n", + " beta = Dirichlet('beta', a=pm.floatX((1.0 / n_topics) * np.ones((n_topics, n_words))), \n", + " shape=(n_topics, n_words), transform=t_stick_breaking(1e-9))\n", + " doc = pm.DensityDist('doc', logp_lda_doc(beta, theta), observed=doc_t)\n", + " encoder.p_corruption = 0\n", + " local_RVs = OrderedDict([(theta, encoder.encode(doc_t))])\n", + " approx = pm.MeanField(local_rv=local_RVs)\n", + " approx.shared_params = approx1.shared_params" + ] + }, + { + "cell_type": "code", + "execution_count": 15, "metadata": { "scrolled": false }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 100/100 [00:00<00:00, 483.07it/s]" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ - "Topic #0: does question point believe true case think read evidence way\n", - "Topic #1: key government use law public state used encryption president people\n", - "Topic #2: space edu 10 00 20 15 university 12 11 30\n", - "Topic #3: year team game play win games players season won second\n", - "Topic #4: don know just think people like going ll did let\n", - "Topic #5: thanks drive card mail new does price use used need\n", - "Topic #6: years said people gun armenian 000 went ago armenians day\n", - "Topic #7: windows use using file software program window version available data\n", - "Topic #8: god people jesus life world bible israel man christian church\n", - "Topic #9: good like ve just time better little car problem long\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\n" + "Topic #0: don people just think like know time god good say\n", + "Topic #1: drive key chip scsi bit encryption use disk clipper data\n", + "Topic #2: edu use file windows space program mail thanks like available\n", + "Topic #3: ax max 75u b8f a86 145 2di 1t g9v 1d9\n", + "Topic #4: armenian armenians people db jews turkish 000 government new said\n", + "Topic #5: new like just does 10 good know edu thanks car\n", + "Topic #6: 00 10 55 15 20 25 11 12 50 14\n", + "Topic #7: cx chz 17 lk 27 ah d9 24 w7 7u\n", + "Topic #8: new 10 games like good sale just edu condition power\n", + "Topic #9: new 10 just like good games does power edu know\n" ] } ], @@ -520,10 +471,9 @@ " print((\"Topic #%d: \" % i) + \" \".join([feature_names[j]\n", " for j in beta[i].argsort()[:-n_top_words - 1:-1]]))\n", "\n", - "doc_t.set_value(docs_te.toarray()[:minibatch_size, :])\n", "\n", "with model:\n", - " samples = sample_vp(v_params, draws=100, local_RVs=local_RVs)\n", + " samples = pm.sample_approx(approx, draws=100)\n", " beta_pymc3 = samples['beta'].mean(axis=0)\n", "\n", "print_top_words(beta_pymc3, feature_names)" @@ -538,15 +488,15 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 16, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 13 s, sys: 102 ms, total: 13.1 s\n", - "Wall time: 13.1 s\n", + "CPU times: user 19.9 s, sys: 8 ms, total: 19.9 s\n", + "Wall time: 19.9 s\n", "Topic #0: people gun armenian war armenians turkish states said state 000\n", "Topic #1: government people law mr president use don think right public\n", "Topic #2: space science nasa program data research center output earth launch\n", @@ -566,7 +516,7 @@ "lda = LatentDirichletAllocation(n_topics=n_topics, max_iter=5,\n", " learning_method='online', learning_offset=50.,\n", " random_state=0)\n", - "%time pm.fit(docs_tr, method=lda)\n", + "%time lda.fit(docs_tr)\n", "beta_sklearn = lda.components_ / lda.components_.sum(axis=1)[:, np.newaxis]\n", "\n", "print_top_words(beta_sklearn, feature_names)" @@ -582,8 +532,10 @@ }, { "cell_type": "code", - "execution_count": 16, - "metadata": {}, + "execution_count": 17, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "def calc_pp(ws, thetas, beta, wix):\n", @@ -651,34 +603,6 @@ " }" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To apply the above function for the LDA model, we redefine the probabilistic model because the number of documents to be tested changes. Since variational parameters have already been obtained, we can reuse them for sampling from the approximate posterior distribution. " - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [], - "source": [ - "n_docs_te = docs_te.shape[0]\n", - "doc_t = shared(docs_te.toarray(), name='doc_t')\n", - "\n", - "with pm.Model() as model:\n", - " theta = Dirichlet('theta', a=(1.0 / n_topics) * np.ones((n_docs_te, n_topics)), \n", - " shape=(n_docs_te, n_topics), transform=t_stick_breaking(1e-9))\n", - " beta = Dirichlet('beta', a=(1.0 / n_topics) * np.ones((n_topics, n_words)), \n", - " shape=(n_topics, n_words), transform=t_stick_breaking(1e-9))\n", - " doc = pm.DensityDist('doc', logp_lda_doc(beta, theta), observed=doc_t)\n", - "\n", - "# Encoder has already been trained\n", - "encoder.p_corruption = 0\n", - "local_RVs = OrderedDict([(theta, (encoder.encode(doc_t), 1))])" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -689,13 +613,15 @@ { "cell_type": "code", "execution_count": 18, - "metadata": {}, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "def transform_pymc3(docs):\n", " with model:\n", " doc_t.set_value(docs)\n", - " samples = sample_vp(v_params, draws=100, local_RVs=local_RVs)\n", + " samples = pm.sample_approx(approx, draws=100)\n", " \n", " return samples['theta'].mean(axis=0)" ] @@ -704,7 +630,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "The mean of the log predictive probability is about -7.00. " + "The mean of the log predictive probability is about -6.00. " ] }, { @@ -712,126 +638,13 @@ "execution_count": 19, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 100/100 [00:01<00:00, 64.72it/s]\n", - "100%|██████████| 100/100 [2:31:10<00:00, 90.71s/it]\n", - "100%|██████████| 100/100 [00:02<00:00, 36.94it/s]\n", - "100%|██████████| 100/100 [00:03<00:00, 25.35it/s]\n", - "100%|██████████| 100/100 [00:03<00:00, 25.95it/s]\n", - "100%|██████████| 100/100 [00:03<00:00, 44.83it/s]\n", - "100%|██████████| 100/100 [00:02<00:00, 49.86it/s]\n", - "100%|██████████| 100/100 [00:02<00:00, 37.12it/s]\n", - "100%|██████████| 100/100 [00:02<00:00, 34.07it/s]\n", - "100%|██████████| 100/100 [00:02<00:00, 40.57it/s]\n", - "100%|██████████| 100/100 [00:02<00:00, 40.53it/s]\n", - "100%|██████████| 100/100 [00:04<00:00, 22.69it/s]\n", - "100%|██████████| 100/100 [00:05<00:00, 12.18it/s]\n", - "100%|██████████| 100/100 [00:02<00:00, 43.22it/s]\n", - "100%|██████████| 100/100 [00:02<00:00, 47.62it/s]\n", - 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"text": [ - "\n" + "CPU times: user 1min 9s, sys: 4min 44s, total: 5min 53s\n", + "Wall time: 48.2 s\n", + "Predictive log prob (pm3) = -6.098737982053407\n" ] } ], @@ -844,7 +657,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "We compare the result with the scikit-learn LDA implemented The log predictive probability is significantly higher (-6.04) than AEVB-ADVI, though it shows similar words in the estimated topics. It may because that the mean-field approximation to distribution on the simplex (topic and/or word distributions) is less accurate. See https://gist.github.com/taku-y/f724392bc0ad633deac45ffa135414d3. " + "We compare the result with the scikit-learn LDA implemented The log predictive probability is comparable (-6.04) with AEVB-ADVI, and it shows good set of words in the estimated topics." ] }, { @@ -856,8 +669,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 37 s, sys: 163 ms, total: 37.2 s\n", - "Wall time: 37.4 s\n", + "CPU times: user 1min 19s, sys: 4min 40s, total: 5min 59s\n", + "Wall time: 49.4 s\n", "Predictive log prob (sklearn) = -6.0147710652278965\n" ] } @@ -876,9 +689,9 @@ "metadata": {}, "source": [ "## Summary\n", - "We have seen that PyMC3 allows us to estimate random variables of LDA, a probabilistic model with latent variables, based on automatic variational inference. Variational parameters of the local latent variables in the probabilistic model are encoded from observations. The parameters of the encoding model, MLP in this example, are optimized with variational parameters of the global latent variables. Once the probabilistic and the encoding models are defined, parameter optimization is done just by invoking a function (`advi_minibatch()`) without need to derive complex update equations. \n", + "We have seen that PyMC3 allows us to estimate random variables of LDA, a probabilistic model with latent variables, based on automatic variational inference. Variational parameters of the local latent variables in the probabilistic model are encoded from observations. The parameters of the encoding model, MLP in this example, are optimized with variational parameters of the global latent variables. Once the probabilistic and the encoding models are defined, parameter optimization is done just by invoking an inference (`ADVI()`) without need to derive complex update equations. \n", "\n", - "Unfortunately, the estimation result was not accurate compared to LDA in sklearn, which is based on the conjugate priors and thus not relying on the mean field approximation. To improve the estimation accuracy, some researchers proposed post processings that moves Monte Carlo samples to improve variational lower bound (e.g., Rezende and Mohamed, 2015; Salinams et al., 2015). By implementing such methods on PyMC3, we may achieve more accurate estimation while automated as shown in this notebook. " + "This notebook shows that even mean field approximation can perform as well as sklearn implementation, which is based on the conjugate priors and thus not relying on the mean field approximation." ] }, { @@ -913,7 +726,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.1" + "version": "3.6.0" }, "latex_envs": { "bibliofile": "biblio.bib", diff --git a/pymc3/data.py b/pymc3/data.py index 36e2990742..fcfe19fa7b 100644 --- a/pymc3/data.py +++ b/pymc3/data.py @@ -11,7 +11,7 @@ __all__ = [ 'get_data', 'GeneratorAdapter', - 'DataSampler' + 'Minibatch' ] @@ -90,59 +90,272 @@ def __hash__(self): return hash(id(self)) -class DataSampler(object): - """ - Convenient picklable data sampler for minibatch inference. - - This generator can be used for passing to pm.generator - creating picklable theano computational grapf +class Minibatch(tt.TensorVariable): + """Multidimensional minibatch that is pure TensorVariable Parameters ---------- - data : array like - batchsize : sample size over zero axis - random_seed : int for numpy random generator - dtype : str representing dtype - - Usage - ----- - >>> import pickle + data : :class:`ndarray` + initial data + batch_size : `int` or `List[int|tuple(size, random_seed)]` + batch size for inference, random seed is needed + for child random generators + dtype : `str` + cast data to specific type + broadcastable : tuple[bool] + change broadcastable pattern that defaults to `(False, ) * ndim` + name : `str` + name for tensor, defaults to "Minibatch" + random_seed : `int` + random seed that is used by default + update_shared_f : `callable` + returns :class:`ndarray` that will be carefully + stored to underlying shared variable + you can use it to change source of + minibatches programmatically + in_memory_size : `int` or `List[int|slice|Ellipsis]` + data size for storing in theano.shared + + Attributes + ---------- + shared : shared tensor + Used for storing data + minibatch : minibatch tensor + Used for training + + Examples + -------- + Consider we have data + >>> data = np.random.rand(100, 100) + + if we want 1d slice of size 10 we do + >>> x = Minibatch(data, batch_size=10) + + Note, that your data is cast to `floatX` if it is not integer type + But you still can add `dtype` kwarg for :class:`Minibatch` + + in case we want 10 sampled rows and columns + `[(size, seed), (size, seed)]` it is + >>> x = Minibatch(data, batch_size=[(10, 42), (10, 42)], dtype='int32') + >>> assert str(x.dtype) == 'int32' + + or simpler with default random seed = 42 + `[size, size]` + >>> x = Minibatch(data, batch_size=[10, 10]) + + x is a regular :class:`TensorVariable` that supports any math + >>> assert x.eval().shape == (10, 10) + + You can pass it to your desired model + >>> with pm.Model() as model: + ... mu = pm.Flat('mu') + ... sd = pm.HalfNormal('sd') + ... lik = pm.Normal('lik', mu, sd, observed=x, total_size=(100, 100)) + + Then you can perform regular Variational Inference out of the box + >>> with model: + ... approx = pm.fit() + + Notable thing is that :class:`Minibatch` has `shared`, `minibatch`, attributes + you can call later + >>> x.set_value(np.random.laplace(size=(100, 100))) + + and minibatches will be then from new storage + it directly affects `x.shared`. + the same thing would be but less convenient + >>> x.shared.set_value(pm.floatX(np.random.laplace(size=(100, 100)))) + + programmatic way to change storage is as follows + I import `partial` for simplicity >>> from functools import partial - >>> np.random.seed(42) # reproducibility - >>> pm.set_tt_rng(42) - >>> data = np.random.normal(size=(1000,)) + 10 - >>> minibatches = DataSampler(data, batchsize=50) - >>> with pm.Model(): - ... sd = pm.Uniform('sd', 0, 10) - ... mu = pm.Normal('mu', sd=10) - ... obs_norm = pm.Normal('obs_norm', mu=mu, sd=sd, - ... observed=minibatches, - ... total_size=data.shape[0]) - ... adam = partial(pm.adam, learning_rate=.8) # easy problem - ... approx = pm.fit(10000, method='advi', obj_optimizer=adam) - >>> new = pickle.loads(pickle.dumps(approx)) - >>> new #doctest: +ELLIPSIS - - >>> new.sample_vp(draws=1000)['mu'].mean() - 10.08339999101371 - >>> new.sample_vp(draws=1000)['sd'].mean() - 1.2178044136104513 + >>> datagen = partial(np.random.laplace, size=(100, 100)) + >>> x = Minibatch(datagen(), batch_size=10, update_shared_f=datagen) + >>> x.update_shared() + + To be more concrete about how we get minibatch, here is a demo + 1) create shared variable + >>> shared = theano.shared(data) + + 2) create random slice of size 10 + >>> ridx = pm.tt_rng().uniform(size=(10,), low=0, high=data.shape[0]-1e-10).astype('int64') + + 3) take that slice + >>> minibatch = shared[ridx] + + That's done. Next you can use this minibatch somewhere else. + You can see that implementation does not require fixed shape + for shared variable. Feel free to use that if needed. + + Suppose you need some replacements in the graph, e.g. change minibatch to testdata + >>> node = x ** 2 # arbitrary expressions on minibatch `x` + >>> testdata = pm.floatX(np.random.laplace(size=(1000, 10))) + + Then you should create a dict with replacements + >>> replacements = {x: testdata} + >>> rnode = theano.clone(node, replacements) + >>> assert (testdata ** 2 == rnode.eval()).all() + + To replace minibatch with it's shared variable you should do + the same things. Minibatch variable is accessible as an attribute + as well as shared, associated with minibatch + >>> replacements = {x.minibatch: x.shared} + >>> rnode = theano.clone(node, replacements) + + For more complex slices some more code is needed that can seem not so clear + >>> moredata = np.random.rand(10, 20, 30, 40, 50) + + default `total_size` that can be passed to `PyMC3` random node + is then `(10, 20, 30, 40, 50)` but can be less verbose in some cases + + 1) Advanced indexing, `total_size = (10, Ellipsis, 50)` + >>> x = Minibatch(moredata, [2, Ellipsis, 10]) + + We take slice only for the first and last dimension + >>> assert x.eval().shape == (2, 20, 30, 40, 10) + + 2) Skipping particular dimension, `total_size = (10, None, 30)` + >>> x = Minibatch(moredata, [2, None, 20]) + >>> assert x.eval().shape == (2, 20, 20, 40, 50) + + 3) Mixing that all, `total_size = (10, None, 30, Ellipsis, 50)` + >>> x = Minibatch(moredata, [2, None, 20, Ellipsis, 10]) + >>> assert x.eval().shape == (2, 20, 20, 40, 10) """ - def __init__(self, data, batchsize=50, random_seed=42, dtype='floatX'): - self.dtype = theano.config.floatX if dtype == 'floatX' else dtype - self.rng = np.random.RandomState(random_seed) - self.data = data - self.n = batchsize + @theano.configparser.change_flags(compute_test_value='raise') + def __init__(self, data, batch_size=128, dtype=None, broadcastable=None, name='Minibatch', + random_seed=42, update_shared_f=None, in_memory_size=None): + if dtype is None: + data = pm.smartfloatX(np.asarray(data)) + else: + data = np.asarray(data, dtype) + in_memory_slc = self.make_static_slices(in_memory_size) + self.shared = theano.shared(data[in_memory_slc]) + self.update_shared_f = update_shared_f + self.random_slc = self.make_random_slices(self.shared.shape, batch_size, random_seed) + minibatch = self.shared[self.random_slc] + if broadcastable is None: + broadcastable = (False, ) * minibatch.ndim + minibatch = tt.patternbroadcast(minibatch, broadcastable) + self.minibatch = minibatch + super(Minibatch, self).__init__( + self.minibatch.type, None, None, name=name) + theano.Apply( + theano.compile.view_op, + inputs=[self.minibatch], outputs=[self]) + self.tag.test_value = copy(self.minibatch.tag.test_value) - def __iter__(self): - return self + @staticmethod + def rslice(total, size, seed): + if size is None: + return slice(None) + elif isinstance(size, int): + return (pm.tt_rng(seed) + .uniform(size=(size, ), low=0.0, high=pm.floatX(total) - 1e-16) + .astype('int64')) + else: + raise TypeError('Unrecognized size type, %r' % size) - def __next__(self): - idx = (self.rng - .uniform(size=self.n, - low=0.0, - high=self.data.shape[0] - 1e-16) - .astype('int64')) - return np.asarray(self.data[idx], self.dtype) + @staticmethod + def make_static_slices(user_size): + if user_size is None: + return [Ellipsis] + elif isinstance(user_size, int): + return slice(None, user_size) + elif isinstance(user_size, (list, tuple)): + slc = list() + for i in user_size: + if isinstance(i, int): + slc.append(i) + elif i is None: + slc.append(slice(None)) + elif i is Ellipsis: + slc.append(Ellipsis) + elif isinstance(i, slice): + slc.append(i) + else: + raise TypeError('Unrecognized size type, %r' % user_size) + return slc + else: + raise TypeError('Unrecognized size type, %r' % user_size) - next = __next__ + @classmethod + def make_random_slices(cls, in_memory_shape, batch_size, default_random_seed): + if batch_size is None: + return [Ellipsis] + elif isinstance(batch_size, int): + slc = [cls.rslice(in_memory_shape[0], batch_size, default_random_seed)] + elif isinstance(batch_size, (list, tuple)): + def check(t): + if t is Ellipsis or t is None: + return True + else: + if isinstance(t, (tuple, list)): + if not len(t) == 2: + return False + else: + return isinstance(t[0], int) and isinstance(t[1], int) + elif isinstance(t, int): + return True + else: + return False + # end check definition + if not all(check(t) for t in batch_size): + raise TypeError('Unrecognized `batch_size` type, expected ' + 'int or List[int|tuple(size, random_seed)] where ' + 'size and random seed are both ints, got %r' % + batch_size) + batch_size = [ + (i, default_random_seed) if isinstance(i, int) else i + for i in batch_size + ] + shape = in_memory_shape + if Ellipsis in batch_size: + sep = batch_size.index(Ellipsis) + begin = batch_size[:sep] + end = batch_size[sep + 1:] + if Ellipsis in end: + raise ValueError('Double Ellipsis in `batch_size` is restricted, got %r' % + batch_size) + if len(end) > 0: + shp_mid = shape[sep:-len(end)] + mid = [tt.arange(s) for s in shp_mid] + else: + mid = [] + else: + begin = batch_size + end = [] + mid = [] + if (len(begin) + len(end)) > len(in_memory_shape.eval()): + raise ValueError('Length of `batch_size` is too big, ' + 'number of ints is bigger that ndim, got %r' + % batch_size) + if len(end) > 0: + shp_end = shape[-len(end):] + else: + shp_end = np.asarray([]) + shp_begin = shape[:len(begin)] + slc_begin = [cls.rslice(shp_begin[i], t[0], t[1]) + if t is not None else tt.arange(shp_begin[i]) + for i, t in enumerate(begin)] + slc_end = [cls.rslice(shp_end[i], t[0], t[1]) + if t is not None else tt.arange(shp_end[i]) + for i, t in enumerate(end)] + slc = slc_begin + mid + slc_end + slc = slc + else: + raise TypeError('Unrecognized size type, %r' % batch_size) + return pm.theanof.ix_(*slc) + + def update_shared(self): + if self.update_shared_f is None: + raise NotImplementedError("No `update_shared_f` was provided to `__init__`") + self.set_value(np.asarray(self.update_shared_f(), self.dtype)) + + def set_value(self, value): + self.shared.set_value(np.asarray(value, self.dtype)) + + def clone(self): + ret = self.type() + ret.name = self.name + ret.tag = copy(self.tag) + return ret diff --git a/pymc3/distributions/distribution.py b/pymc3/distributions/distribution.py index df711b498c..4792dcd926 100644 --- a/pymc3/distributions/distribution.py +++ b/pymc3/distributions/distribution.py @@ -48,12 +48,12 @@ def dist(cls, *args, **kwargs): dist.__init__(*args, **kwargs) return dist - def __init__(self, shape, dtype, testval=None, defaults=(), transform=None): + def __init__(self, shape, dtype, testval=None, defaults=(), transform=None, broadcastable=None): self.shape = np.atleast_1d(shape) if False in (np.floor(self.shape) == self.shape): raise TypeError("Expected int elements in shape") self.dtype = dtype - self.type = TensorType(self.dtype, self.shape) + self.type = TensorType(self.dtype, self.shape, broadcastable) self.testval = testval self.defaults = defaults self.transform = transform @@ -89,8 +89,10 @@ def _repr_latex_(self, name=None, dist=None): return None -def TensorType(dtype, shape): - return tt.TensorType(str(dtype), np.atleast_1d(shape) == 1) +def TensorType(dtype, shape, broadcastable=None): + if broadcastable is None: + broadcastable = np.atleast_1d(shape) == 1 + return tt.TensorType(str(dtype), broadcastable) class NoDistribution(Distribution): @@ -114,7 +116,7 @@ def logp(self, x): class Discrete(Distribution): """Base class for discrete distributions""" - def __init__(self, shape=(), dtype=None, defaults=('mode', ), + def __init__(self, shape=(), dtype=None, defaults=('mode',), *args, **kwargs): if dtype is None: if theano.config.floatX == 'float32': diff --git a/pymc3/model.py b/pymc3/model.py index d4f1420db5..47257bea66 100644 --- a/pymc3/model.py +++ b/pymc3/model.py @@ -188,19 +188,6 @@ def logpt(self): else: return tt.sum(self.logp_elemwiset) - @property - def scaling(self): - total_size = getattr(self, 'total_size', None) - if total_size is None: - coef = tt.constant(1) - else: - if self.logp_elemwiset.ndim >= 1: - denom = self.logp_elemwiset.shape[0] - else: - denom = 1 - coef = pm.floatX(tt.as_tensor(total_size)) / pm.floatX(denom) - return pm.floatX(coef) - class InitContextMeta(type): """Metaclass that executes `__init__` of instance in it's context""" @@ -796,6 +783,60 @@ def __call__(self, *args, **kwargs): compilef = fastfn +def _get_scaling(total_size, data): + """ + + Parameters + ---------- + total_size : int or list[int] + data : n-dimentional tensor + + Returns + ------- + scalar + """ + if total_size is None: + coef = pm.floatX(1) + elif isinstance(total_size, int): + if data.ndim >= 1: + denom = data.shape[0] + else: + denom = 1 + coef = pm.floatX(total_size) / pm.floatX(denom) + elif isinstance(total_size, (list, tuple)): + if not all(isinstance(i, int) for i in total_size if (i is not Ellipsis and i is not None)): + raise TypeError('Unrecognized `total_size` type, expected ' + 'int or list of ints, got %r' % total_size) + shape = data.shape + if Ellipsis in total_size: + sep = total_size.index(Ellipsis) + begin = total_size[:sep] + end = total_size[sep+1:] + if Ellipsis in end: + raise ValueError('Double Ellipsis in `total_size` is restricted, got %r' % total_size) + else: + begin = total_size + end = [] + if (len(begin) + len(end)) > data.ndim: + raise ValueError('Length of `total_size` is too big, ' + 'number of scalings is bigger that ndim, got %r' % total_size) + elif (len(begin) + len(end)) == 0: + return pm.floatX(1) + if len(end) > 0: + shp_end = shape[-len(end):] + else: + shp_end = np.asarray([]) + shp_begin = shape[:len(begin)] + begin_coef = [pm.floatX(t) / shp_begin[i] for i, t in enumerate(begin) if t is not None] + end_coef = [pm.floatX(t) / shp_end[i] for i, t in enumerate(end) if t is not None] + coefs = begin_coef + end_coef + coef = tt.prod(coefs) + else: + raise TypeError('Unrecognized `total_size` type, expected ' + 'int or list of ints, got %r' % total_size) + return tt.as_tensor(pm.floatX(coef)) + + class FreeRV(Factor, TensorVariable): """Unobserved random variable that a model is specified in terms of.""" @@ -825,6 +866,7 @@ def __init__(self, type=None, owner=None, index=None, name=None, self.logp_elemwiset = distribution.logp(self) self.total_size = total_size self.model = model + self.scaling = _get_scaling(total_size, self) incorporate_methods(source=distribution, destination=self, methods=['random'], @@ -914,7 +956,7 @@ def __init__(self, type=None, owner=None, index=None, name=None, data=None, data = pandas_to_array(data) type = TensorType(distribution.dtype, data.shape) - super(TensorVariable, self).__init__(type, None, None, name) + super(ObservedRV, self).__init__(type, owner, index, name) if distribution is not None: data = as_tensor(data, name, model, distribution) @@ -929,8 +971,8 @@ def __init__(self, type=None, owner=None, index=None, name=None, data=None, # make this RV a view on the combined missing/nonmissing array theano.gof.Apply(theano.compile.view_op, inputs=[data], outputs=[self]) - self.tag.test_value = theano.compile.view_op(data).tag.test_value + self.scaling = _get_scaling(total_size, data) def _repr_latex_(self, name=None, dist=None): if self.distribution is None: @@ -1064,7 +1106,7 @@ def _repr_latex_(self, name=None, dist=None): if dist is None: dist = self.distribution return self.distribution._repr_latex_(name=name, dist=dist) - + @property def init_value(self): """Convenience attribute to return tag.test_value""" diff --git a/pymc3/tests/conftest.py b/pymc3/tests/conftest.py index 2fdd8c59dc..6081bca1e9 100644 --- a/pymc3/tests/conftest.py +++ b/pymc3/tests/conftest.py @@ -1,7 +1,32 @@ import theano +import numpy as np import pytest +class DataSampler(object): + """ + Not for users + """ + def __init__(self, data, batchsize=50, random_seed=42, dtype='floatX'): + self.dtype = theano.config.floatX if dtype == 'floatX' else dtype + self.rng = np.random.RandomState(random_seed) + self.data = data + self.n = batchsize + + def __iter__(self): + return self + + def __next__(self): + idx = (self.rng + .uniform(size=self.n, + low=0.0, + high=self.data.shape[0] - 1e-16) + .astype('int64')) + return np.asarray(self.data[idx], self.dtype) + + next = __next__ + + @pytest.fixture(scope="session", autouse=True) def theano_config(): config = theano.configparser.change_flags(compute_test_value='raise') @@ -16,3 +41,10 @@ def strict_float32(): floatX='float32') with config: yield + + +@pytest.fixture('session', params=[ + np.random.uniform(size=(1000, 10)) +]) +def datagen(request): + return DataSampler(request.param) diff --git a/pymc3/tests/test_minibatches.py b/pymc3/tests/test_minibatches.py new file mode 100644 index 0000000000..6bb57bd446 --- /dev/null +++ b/pymc3/tests/test_minibatches.py @@ -0,0 +1,286 @@ +import itertools +import pickle + +import numpy as np +import pytest +from scipy import stats as stats +from theano import tensor as tt +import theano + +import pymc3 as pm +from pymc3 import floatX, GeneratorAdapter, generator, tt_rng, Normal +from pymc3.tests.helpers import select_by_precision +from pymc3.theanof import GeneratorOp + + +def integers(): + i = 0 + while True: + yield pm.floatX(i) + i += 1 + + +def integers_ndim(ndim): + i = 0 + while True: + yield np.ones((2,) * ndim) * i + i += 1 + + +@pytest.mark.usefixtures('strict_float32') +class TestGenerator(object): + + def test_basic(self): + generator = GeneratorAdapter(integers()) + gop = GeneratorOp(generator)() + assert gop.tag.test_value == np.float32(0) + f = theano.function([], gop) + assert f() == np.float32(0) + assert f() == np.float32(1) + for _ in range(2, 100): + f() + assert f() == np.float32(100) + + def test_ndim(self): + for ndim in range(10): + res = list(itertools.islice(integers_ndim(ndim), 0, 2)) + generator = GeneratorAdapter(integers_ndim(ndim)) + gop = GeneratorOp(generator)() + f = theano.function([], gop) + assert ndim == res[0].ndim + np.testing.assert_equal(f(), res[0]) + np.testing.assert_equal(f(), res[1]) + + def test_cloning_available(self): + gop = generator(integers()) + res = gop ** 2 + shared = theano.shared(floatX(10)) + res1 = theano.clone(res, {gop: shared}) + f = theano.function([], res1) + assert f() == np.float32(100) + + def test_default_value(self): + def gen(): + for i in range(2): + yield floatX(np.ones((10, 10)) * i) + + gop = generator(gen(), np.ones((10, 10)) * 10) + f = theano.function([], gop) + np.testing.assert_equal(np.ones((10, 10)) * 0, f()) + np.testing.assert_equal(np.ones((10, 10)) * 1, f()) + np.testing.assert_equal(np.ones((10, 10)) * 10, f()) + with pytest.raises(ValueError): + gop.set_default(1) + + def test_set_gen_and_exc(self): + def gen(): + for i in range(2): + yield floatX(np.ones((10, 10)) * i) + + gop = generator(gen()) + f = theano.function([], gop) + np.testing.assert_equal(np.ones((10, 10)) * 0, f()) + np.testing.assert_equal(np.ones((10, 10)) * 1, f()) + with pytest.raises(StopIteration): + f() + gop.set_gen(gen()) + np.testing.assert_equal(np.ones((10, 10)) * 0, f()) + np.testing.assert_equal(np.ones((10, 10)) * 1, f()) + + def test_pickling(self, datagen): + gen = generator(datagen) + pickle.loads(pickle.dumps(gen)) + bad_gen = generator(integers()) + with pytest.raises(Exception): + pickle.dumps(bad_gen) + + def test_gen_cloning_with_shape_change(self, datagen): + gen = generator(datagen) + gen_r = tt_rng().normal(size=gen.shape).T + X = gen.dot(gen_r) + res, _ = theano.scan(lambda x: x.sum(), X, n_steps=X.shape[0]) + assert res.eval().shape == (50,) + shared = theano.shared(datagen.data.astype(gen.dtype)) + res2 = theano.clone(res, {gen: shared**2}) + assert res2.eval().shape == (1000,) + + +def gen1(): + i = 0 + while True: + yield np.ones((10, 100)) * i + i += 1 + + +def gen2(): + i = 0 + while True: + yield np.ones((20, 100)) * i + i += 1 + + +class TestScaling(object): + """ + Related to minibatch training + """ + def test_density_scaling(self): + with pm.Model() as model1: + Normal('n', observed=[[1]], total_size=1) + p1 = theano.function([], model1.logpt) + + with pm.Model() as model2: + Normal('n', observed=[[1]], total_size=2) + p2 = theano.function([], model2.logpt) + assert p1() * 2 == p2() + + def test_density_scaling_with_genarator(self): + # We have different size generators + + def true_dens(): + g = gen1() + for i, point in enumerate(g): + yield stats.norm.logpdf(point).sum() * 10 + t = true_dens() + # We have same size models + with pm.Model() as model1: + Normal('n', observed=gen1(), total_size=100) + p1 = theano.function([], model1.logpt) + + with pm.Model() as model2: + gen_var = generator(gen2()) + Normal('n', observed=gen_var, total_size=100) + p2 = theano.function([], model2.logpt) + + for i in range(10): + _1, _2, _t = p1(), p2(), next(t) + decimals = select_by_precision(float64=7, float32=2) + np.testing.assert_almost_equal(_1, _t, decimal=decimals) # Value O(-50,000) + np.testing.assert_almost_equal(_1, _2) + # Done + + def test_gradient_with_scaling(self): + with pm.Model() as model1: + genvar = generator(gen1()) + m = Normal('m') + Normal('n', observed=genvar, total_size=1000) + grad1 = theano.function([m], tt.grad(model1.logpt, m)) + with pm.Model() as model2: + m = Normal('m') + shavar = theano.shared(np.ones((1000, 100))) + Normal('n', observed=shavar) + grad2 = theano.function([m], tt.grad(model2.logpt, m)) + + for i in range(10): + shavar.set_value(np.ones((100, 100)) * i) + g1 = grad1(1) + g2 = grad2(1) + np.testing.assert_almost_equal(g1, g2) + + def test_multidim_scaling(self): + with pm.Model() as model0: + Normal('n', observed=[[1, 1], + [1, 1]], total_size=[]) + p0 = theano.function([], model0.logpt) + + with pm.Model() as model1: + Normal('n', observed=[[1, 1], + [1, 1]], total_size=[2, 2]) + p1 = theano.function([], model1.logpt) + + with pm.Model() as model2: + Normal('n', observed=[[1], + [1]], total_size=[2, 2]) + p2 = theano.function([], model2.logpt) + + with pm.Model() as model3: + Normal('n', observed=[[1, 1]], total_size=[2, 2]) + p3 = theano.function([], model3.logpt) + + with pm.Model() as model4: + Normal('n', observed=[[1]], total_size=[2, 2]) + p4 = theano.function([], model4.logpt) + + with pm.Model() as model5: + Normal('n', observed=[[1]], total_size=[2, Ellipsis, 2]) + p5 = theano.function([], model5.logpt) + assert p0() == p1() == p2() == p3() == p4() == p5() + + def test_common_errors(self): + with pm.Model(): + with pytest.raises(ValueError) as e: + Normal('n', observed=[[1]], total_size=[2, Ellipsis, 2, 2]) + assert 'Length of' in str(e.value) + with pytest.raises(ValueError) as e: + Normal('n', observed=[[1]], total_size=[2, 2, 2]) + assert 'Length of' in str(e.value) + with pytest.raises(TypeError) as e: + Normal('n', observed=[[1]], total_size='foo') + assert 'Unrecognized' in str(e.value) + with pytest.raises(TypeError) as e: + Normal('n', observed=[[1]], total_size=['foo']) + assert 'Unrecognized' in str(e.value) + with pytest.raises(ValueError) as e: + Normal('n', observed=[[1]], total_size=[Ellipsis, Ellipsis]) + assert 'Double Ellipsis' in str(e.value) + + def test_mixed1(self): + with pm.Model(): + data = np.random.rand(10, 20, 30, 40, 50) + mb = pm.Minibatch(data, [2, None, 20, Ellipsis, 10]) + Normal('n', observed=mb, total_size=(10, None, 30, Ellipsis, 50)) + + def test_mixed2(self): + with pm.Model(): + data = np.random.rand(10, 20, 30, 40, 50) + mb = pm.Minibatch(data, [2, None, 20]) + Normal('n', observed=mb, total_size=(10, None, 30)) + + def test_free_rv(self): + with pm.Model() as model4: + Normal('n', observed=[[1, 1], + [1, 1]], total_size=[2, 2]) + p4 = theano.function([], model4.logpt) + + with pm.Model() as model5: + Normal('n', total_size=[2, Ellipsis, 2], shape=(1, 1), broadcastable=(False, False)) + p5 = theano.function([model5.n], model5.logpt) + assert p4() == p5(pm.floatX([[1]])) + assert p4() == p5(pm.floatX([[1, 1], + [1, 1]])) + + +@pytest.mark.usefixtures('strict_float32') +class TestMinibatch(object): + data = np.random.rand(30, 10, 40, 10, 50) + + def test_1d(self): + mb = pm.Minibatch(self.data, 20) + assert mb.eval().shape == (20, 10, 40, 10, 50) + + def test_2d(self): + mb = pm.Minibatch(self.data, [(10, 42), (4, 42)]) + assert mb.eval().shape == (10, 4, 40, 10, 50) + + def test_special1(self): + mb = pm.Minibatch(self.data, [(10, 42), None, (4, 42)]) + assert mb.eval().shape == (10, 10, 4, 10, 50) + + def test_special2(self): + mb = pm.Minibatch(self.data, [(10, 42), Ellipsis, (4, 42)]) + assert mb.eval().shape == (10, 10, 40, 10, 4) + + def test_special3(self): + mb = pm.Minibatch(self.data, [(10, 42), None, Ellipsis, (4, 42)]) + assert mb.eval().shape == (10, 10, 40, 10, 4) + + def test_special4(self): + mb = pm.Minibatch(self.data, [10, None, Ellipsis, (4, 42)]) + assert mb.eval().shape == (10, 10, 40, 10, 4) + + def test_cloning_available(self): + gop = pm.Minibatch(np.arange(100), 1) + res = gop ** 2 + shared = theano.shared(np.array([10])) + res1 = theano.clone(res, {gop: shared}) + f = theano.function([], res1) + assert f() == np.array([100]) diff --git a/pymc3/tests/test_model.py b/pymc3/tests/test_model.py index 141cf6537c..6c7299f7dc 100644 --- a/pymc3/tests/test_model.py +++ b/pymc3/tests/test_model.py @@ -1,26 +1,9 @@ +import pytest from theano import theano, tensor as tt -import scipy.stats as stats -import numpy as np + import pymc3 as pm from pymc3.distributions import HalfCauchy, Normal, transforms from pymc3 import Potential, Deterministic -from pymc3.theanof import generator -from .helpers import select_by_precision -import pytest - - -def gen1(): - i = 0 - while True: - yield np.ones((10, 100)) * i - i += 1 - - -def gen2(): - i = 0 - while True: - yield np.ones((20, 100)) * i - i += 1 class NewModel(pm.Model): @@ -143,61 +126,6 @@ def test_observed_rv_fail(self): Normal('n', observed=x) -class TestScaling(object): - def test_density_scaling(self): - with pm.Model() as model1: - Normal('n', observed=[[1]], total_size=1) - p1 = theano.function([], model1.logpt) - - with pm.Model() as model2: - Normal('n', observed=[[1]], total_size=2) - p2 = theano.function([], model2.logpt) - assert p1() * 2 == p2() - - def test_density_scaling_with_genarator(self): - # We have different size generators - - def true_dens(): - g = gen1() - for i, point in enumerate(g): - yield stats.norm.logpdf(point).sum() * 10 - t = true_dens() - # We have same size models - with pm.Model() as model1: - Normal('n', observed=gen1(), total_size=100) - p1 = theano.function([], model1.logpt) - - with pm.Model() as model2: - gen_var = generator(gen2()) - Normal('n', observed=gen_var, total_size=100) - p2 = theano.function([], model2.logpt) - - for i in range(10): - _1, _2, _t = p1(), p2(), next(t) - decimals = select_by_precision(float64=7, float32=2) - np.testing.assert_almost_equal(_1, _t, decimal=decimals) # Value O(-50,000) - np.testing.assert_almost_equal(_1, _2) - # Done - - def test_gradient_with_scaling(self): - with pm.Model() as model1: - genvar = generator(gen1()) - m = Normal('m') - Normal('n', observed=genvar, total_size=1000) - grad1 = theano.function([m], tt.grad(model1.logpt, m)) - with pm.Model() as model2: - m = Normal('m') - shavar = theano.shared(np.ones((1000, 100))) - Normal('n', observed=shavar) - grad2 = theano.function([m], tt.grad(model2.logpt, m)) - - for i in range(10): - shavar.set_value(np.ones((100, 100)) * i) - g1 = grad1(1) - g2 = grad2(1) - np.testing.assert_almost_equal(g1, g2) - - class TestTheanoConfig(object): def test_set_testval_raise(self): with theano.configparser.change_flags(compute_test_value='off'): diff --git a/pymc3/tests/test_theanof.py b/pymc3/tests/test_theanof.py index 5c2a952876..4a681a2a00 100644 --- a/pymc3/tests/test_theanof.py +++ b/pymc3/tests/test_theanof.py @@ -1,105 +1,9 @@ -import pickle -import itertools import collections -import numpy as np -from theano import theano -from pymc3.theanof import GeneratorOp, generator, tt_rng, floatX, set_theano_conf -from pymc3.data import DataSampler, GeneratorAdapter -import pytest - - -def integers(): - i = 0 - while True: - yield floatX(i) - i += 1 - - -def integers_ndim(ndim): - i = 0 - while True: - yield floatX(np.ones((2,) * ndim) * i) - i += 1 - - -class TestGenerator(object): - def test_basic(self): - generator = GeneratorAdapter(integers()) - gop = GeneratorOp(generator)() - assert gop.tag.test_value == np.float32(0) - f = theano.function([], gop) - assert f() == np.float32(0) - assert f() == np.float32(1) - for _ in range(2, 100): - f() - assert f() == np.float32(100) - def test_ndim(self): - for ndim in range(10): - res = list(itertools.islice(integers_ndim(ndim), 0, 2)) - generator = GeneratorAdapter(integers_ndim(ndim)) - gop = GeneratorOp(generator)() - f = theano.function([], gop) - assert ndim == res[0].ndim - np.testing.assert_equal(f(), res[0]) - np.testing.assert_equal(f(), res[1]) - - def test_cloning_available(self): - gop = generator(integers()) - res = gop ** 2 - shared = theano.shared(floatX(10)) - res1 = theano.clone(res, {gop: shared}) - f = theano.function([], res1) - assert f() == np.float32(100) - - def test_default_value(self): - def gen(): - for i in range(2): - yield floatX(np.ones((10, 10)) * i) - - gop = generator(gen(), floatX(np.ones((10, 10)) * 10)) - f = theano.function([], gop) - np.testing.assert_equal(floatX(np.ones((10, 10)) * 0), f()) - np.testing.assert_equal(floatX(np.ones((10, 10)) * 1), f()) - np.testing.assert_equal(floatX(np.ones((10, 10)) * 10), f()) - with pytest.raises(ValueError): - gop.set_default(1) - - def test_set_gen_and_exc(self): - def gen(): - for i in range(2): - yield floatX(np.ones((10, 10)) * i) - - gop = generator(gen()) - f = theano.function([], gop) - np.testing.assert_equal(np.ones((10, 10)) * 0, f()) - np.testing.assert_equal(np.ones((10, 10)) * 1, f()) - with pytest.raises(StopIteration): - f() - gop.set_gen(gen()) - np.testing.assert_equal(np.ones((10, 10)) * 0, f()) - np.testing.assert_equal(np.ones((10, 10)) * 1, f()) - - def test_pickling(self): - data = np.random.uniform(size=(1000, 10)) - minibatches = DataSampler(data, batchsize=50) - gen = generator(minibatches) - pickle.loads(pickle.dumps(gen)) - bad_gen = generator(integers()) - with pytest.raises(Exception): - pickle.dumps(bad_gen) +import pytest +from theano import theano - def test_gen_cloning_with_shape_change(self): - data = floatX(np.random.uniform(size=(1000, 10))) - minibatches = DataSampler(data, batchsize=50) - gen = generator(minibatches) - gen_r = tt_rng().normal(size=gen.shape).T - X = gen.dot(gen_r) - res, _ = theano.scan(lambda x: x.sum(), X, n_steps=X.shape[0]) - assert res.eval().shape == (50,) - shared = theano.shared(data) - res2 = theano.clone(res, {gen: shared**2}) - assert res2.eval().shape == (1000,) +from pymc3.theanof import set_theano_conf class TestSetTheanoConfig(object): diff --git a/pymc3/tests/test_util.py b/pymc3/tests/test_util.py index f15f4853d1..ebbcff9d2d 100644 --- a/pymc3/tests/test_util.py +++ b/pymc3/tests/test_util.py @@ -1,7 +1,7 @@ import pytest -from pymc3.distributions.transforms import Transform import pymc3 as pm +from pymc3.distributions.transforms import Transform class TestTransformName(object): diff --git a/pymc3/theanof.py b/pymc3/theanof.py index b8b5cfa75b..7f78845434 100644 --- a/pymc3/theanof.py +++ b/pymc3/theanof.py @@ -334,10 +334,9 @@ def set_default(self, value): if value is None: self.default = None else: - value = np.asarray(value) - t1 = (value.dtype, ((False,) * value.ndim)) - t2 = (self.generator.tensortype.dtype, - self.generator.tensortype.broadcastable) + value = np.asarray(value, self.generator.tensortype.dtype) + t1 = (False,) * value.ndim + t2 = self.generator.tensortype.broadcastable if not t1 == t2: raise ValueError('Default value should have the ' 'same type as generator') @@ -439,3 +438,22 @@ def set_theano_conf(values): raise old[name] = old_value return old + + +def ix_(*args): + """ + Theano np.ix_ analog + + See numpy.lib.index_tricks.ix_ for reference + """ + out = [] + nd = len(args) + for k, new in enumerate(args): + if new is None: + out.append(slice(None)) + new = tt.as_tensor(new) + if new.ndim != 1: + raise ValueError("Cross index must be 1 dimensional") + new = new.reshape((1,)*k + (new.size,) + (1,)*(nd-k-1)) + out.append(new) + return tuple(out)