{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "DeltaSHAPE\n", "==========\n", "\n", "DeltaSHAPE analysis detects meaningful changes in SHAPE reactivity between two\n", "samples. Parameters are optimized for detecting in cell vs. cell free protein\n", "protections and enhancements, but they are flexible and useful for identifying\n", "any kind of meaningful differences.\n", "\n", "Import RNAvigate\n", "----------------" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import rnavigate as rnav\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Create RNAvigate samples\n", "------------------------\n", "\n", "These example data are available as ready-to-go samples in the examples module.\n", "\n", "I'll just verify the data keywords. DeltaSHAPE only requires \"shapemap\"." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Example 1 data keywords:\n", " annotations:\n", " profiles:\n", " shapemap (default)\n", " structures:\n", " ss_ct (default)\n", " ss_pdb\n", " ss_lit\n", " interactions:\n", " shapejump (default)\n", " pairprob\n", " pairmap\n", " ringmap\n", " pdbs:\n", " pdb (default)\n", "\n", "Example 2 data keywords:\n", " annotations:\n", " profiles:\n", " shapemap (default)\n", " structures:\n", " ss_ct (default)\n", " ss_pdb\n", " ss_lit\n", " interactions:\n", " shapejump (default)\n", " pairprob\n", " pairmap\n", " ringmap\n", " pdbs:\n", " pdb (default)\n", "\n" ] } ], "source": [ "from rnavigate.examples import rnasep_1, rnasep_2\n", "rnasep_1.print_data_keywords()\n", "rnasep_2.print_data_keywords()\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Perform and visualize deltaSHAPE analysis\n", "-----------------------------------------\n", "\n", "The DeltaSHAPE module provides functionality to quickly perform the analysis\n", "and visualize results. The deltaSHAPE profile is the difference between rolling\n", "average normalized SHAPE reactivities. Significant protections\n", "(sample 1 > sample 2) are highlighted green. Significant enhancements\n", "(sample 1 < sample 2) are highlighted purple.\n", "\n", "The additional optional arguments and default values are commented out below." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "delta12 = rnav.analysis.DeltaSHAPE(\n", " sample1=rnasep_1,\n", " sample2=rnasep_2,\n", " # profile=\"shapemap\",\n", " # smoothing_window=3,\n", " # zf_coeff=1.96,\n", " # ss_thresh=1,\n", " # site_window=3,\n", " # site_nts=2,\n", " )\n", "plot = delta12.plot()\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The returned value is an RNAvigate Sample\n", "-----------------------------------------\n", "\n", "DeltaSHAPE analysis returns an RNAvigate Sample. This can be used to create\n", "additional plots, and color or highlight significant protections and/or\n", "enhancements.\n", "\n", "DeltaSHAPE samples inherit all of the data keywords from sample 1 and 2. For\n", "keywords that are shared between samples 1 and 2, sample 1 data is inherited.\n", "\n", "New data keywords are:\n", "- deltashape: the deltashape profile\n", "- profile_1: the sample 1 profile\n", "- profile_2: the sample 2 profile\n", "- protections: an annotation of protections\n", "- enhancements: an annotation of enhancements" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Example 1 vs. Example 2 data keywords:\n", " annotations:\n", " protections\n", " enhancements\n", " profiles:\n", " shapemap (default)\n", " deltashape\n", " profile_1\n", " profile_2\n", " structures:\n", " ss_ct (default)\n", " ss_pdb\n", " ss_lit\n", " interactions:\n", " shapejump (default)\n", " pairprob\n", " pairmap\n", " ringmap\n", " pdbs:\n", " pdb (default)\n", "\n" ] } ], "source": [ "delta12.print_data_keywords()\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Using the Sample in other plots\n", "-------------------------------\n", "\n", "Below, I use the Sample returned from the DeltaSHAPE analysis to create a secondary structure diagram.\n", "I can use the `\"ss_pdb\"` data keyword that was inherited from the parent samples.\n" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "image/png": 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2nnrqKfLz87niiisCdV966SXS0tICI2LR9PT0xMxBdMUVV2A0Gvnud79LV1cXy5Ytw2Qycd5553HFFVfwwgsvcMkll3D++edz/vnns2zZMu666y4uuugiurq6eOmllwIjYsk+86apqYlPf/rTXHfddbS1tfHkk09is9n46le/GvExDzzwALfddhs33ngjt9xyC8XFxaxfv56VK1dy9tlnRwyCAB5//HFaWlqYP38+3d3dIT+7/u3yQoxUEsiIUeOPf/xj1Ovf/va3yczM5H//93+x2Wx885vfDFxbsmQJV155JStWrGDFihVceeWV/O53v+ORRx7h0UcfxWQyUVpayk9+8hOampr41a9+xdatW5kzZ05S+j5p0iQqKyt5+OGHaWlpYdq0aSxbtixod82xjEYjf/3rX/nTn/7EihUrWLVqFdnZ2Zx55pncc889TJ06NSl9i6Z/FGbz5s0hn/SNRiN//vOf+f3vf88777zDM888Q0ZGBmeffTZf+9rXgnIi/c///A/FxcVxBTJtbW38z//8T9Q6F1xwAf/+979ZvXo1t912G/PmzQtc++53v8vatWu5//77WbFiBXfffTeapvHqq6+yfv168vLymD17Ng8//DB3330369atG9oPJYa7776buro6fvvb32IwGLj44ov5xje+EbJYeLBZs2bx3HPP8eijj/Lss8/idDopKirinnvu4fOf/3zUKcT169cDfSNkH330Ucj1jIwMCWTEiKZoxy7JF0KcUMnOdCxOTR988AG33367LLQVIslkjYwQQgghRiwJZIQQQggxYkkgI4QQQogRS9bICCGEEGLEkhEZIYQQQoxYEsgIIYQQYsSSQEYIIYQQI5YEMkIIIYQYsSSQEUIIIcSIJYGMEEIIIUYsCWSEEEIIMWJJICOEEEKIEUsCGSGEEEKMWBLICCGEEGLEkkBGCCGEECOWBDJCCCGEGLEkkBFCCCHEiCWBjBBCCCFGLAlkhBBCCDFiSSAjhBBCiBFLAhkhhBBCjFgSyAghhBBixJJARgghhBAjlgQyQgghhBixJJARQgghxIglgYwQQgghRiwJZIQQQggxYkkgI4QQQogRSwIZIYQQQoxYEsgIIYQQYsSSQEYIIYQQI5YEMkIIIYQYsSSQEUIIIcSIJYGMEEIIIUYsCWSEEEIIMWJJICOEEEKIEUsCGSGEEEKMWBLICCGEEGLEkkBGCCGEECOWBDJCCCGEGLEkkBFCCCHEiCWBjBBCCCFGLAlkhBBCCDFiSSAjhBBCiBFLAhkhhBBCjFgSyAghhBBixJJARgghhBAjlgQyQgghhBixJJARQgghxIglgYwQQgghRiwJZIQQQggxYkkgI4QQQogRSwIZIYQQQoxYEsgIIYQQYsSSQEYIIYQQI5YEMkIIIYQYsQwnuwNCCCHESObX/LS5O+jyOAHQKQrZpkwyTRknuWdjgwQyQgghxHFo7m2luquOpt4WfJov5HqK3sK4lAImZkwgzZh6Eno4NiiapmknuxNCCCHESODxe6hzNnCoq5ZurzPux9ks+UzKnEC+JXcYezc2SSAjhBBCxNDlcVLdVUutsx6v5j3u58kwpjMxfQLj08Zh0OmT2MOxSwIZIYQQIgy/5sfuaqG6q5Zmd2tSn9ukM1KaPp7S9PGkGlKS+txjjQQyQgghxCBun0pN9xGqu+tw+VxxPaaxKZVde3Jx9RrIye7ltJktpKd5Yj5OQWFcagGTMkqxmrMT7PnYJIGMEEIIAbS7OzjUXUu9sxEf/rge4/UqvPSfKezZZw0q1+n8nH9OHWed0RB3+9mmLCZllFCUWohOkdNR4iWBjBBCiDHLr/mp72nkUFctbWrHkB//8spJbN+VH/H6VZfvZ/aMoU1LWXRmyjJKKE0vxqw3D7lPY41svxZCCDEmtbs72ObYTbun87ge39FpYsfuvKh11n1YNORAptfvZk/HfvZ1HmJa1mQmZkyQEZoo5CcjhBBizKnqOMBq+4fHHcQAVO3PQdOUqHVaWlNpabUc1/P7NB872/eypvFDuj3xb/UeaySQEUIIMaYc7q6jquMAGomtrPB44ts+rcZZL5J2TycfNH+M6ou9eHgskkBGCCHEmNHa28Z2x56I1129etxq9LdGza9x5MgRWps/itmeonhoqNtMd1f3kPs6mNPbw+aWbfi1+BYhjyWyRkYIIcSYsadjP/5jdiT5/bB5i41NW2w42vrOdCkp7mTR6Y1UTGkL1HP3uqk+XE3N4RrcbjeKpmAyno/qyYrYXk7Gdhoa9tPQsJ/8/HwmTpxIQUEB9M9IaRrjHK2UNTaQ6XTi0+tosOZxaFwRPZbgKalmdyv1PXbGp41Lzg9jlJBdS0IIIcaELo+TdxrWBpVpGrzwylSqjtk+3W/puTVUTN5JdXU1DQ0N9L9lWq1WysrKUL0VPLO8Aq83dPrImuPi01d/RHPTfmpqalBVFYC0tDTKJpZRUjyeMw4fpKS5KeSxHr2eD6bPxJEZHCTlma0stp1+XPc/WkkgI4QQYkzY3b6PfZ2Hgsq27czjldcmR3mUxrSy/8NscqDX6ykuLqa0rJSsrIEAw96UyroPi9izLwe/X0eKxcNpM1tYvLCe1NS+dAY+n48jdUc4dOgQXV1dAJyfauGWlMjbq90GI2+evhC/Lniq68Jx50gSykFkakkIIcSY0OMNPaX3o60FMR6l0OFczPlzD1JSUoLRZAypYSvo4dor9+P1KqiqHovFyzGxB3q9ngmlE5gwYQItLS0cOnSI83qj70Qyez0UtzRTW2ALKu/ydEsgM4gs9hVCCDEmePyhu36aWmIHBJaUCiZNnhQ2iBnMYNBITQ0NYoIokJefx1nz51FsiL2bKacrdHt4IkkrRyMJZIQQQowJHn9oAGAyxt4FZDQlf6eQpkQ/fyYaNcx9jGUSyAghhBgTjLrQ1RQVUx0xHzctjjpD5dPrcWRkxqzXlJ0TUpZukGmlwSSQEUIIMSaEy1u0cH4jRoMv4mNysnuZXp78QAbgQFFx1OvdFguN1tygMh06yZJ9DAlkhBBCjAmWMIFMrrWXT1+7lxRL6PqZ/NwebrlhDwZD/Jt7TTpT3HUbcvPYU1Ia9lqPycwH02fCMVNQOeYsDGFGlsYy2X4thBBiTDjQeZid7VVhr3k8Cjv35LFtRy89zk5OnwcL5ivHxhFhGRQDJWlFlGWUkGZIodHVxKGuWlrdbbEfDGQ4nZTZG/DV1eHWNLwV06jLL8CnD10MfHbBGeRaQqebxjIJ64QQQowJZn3k0RKjUWPu7GaMyk4OHTpEQd5pKMqEqM+XbkhjYkYJ49PGYdQN7GgqSi2kKLWQdrWTg52Hqe+xh5wmPFhXWhrbJ03hjX0HUVWVy/ML0IcJYkrTiiWICUMCGSGEEGNCuKmlY5ktfXXcbnfMurNyplGQkhvxerYpk/l5s5nhK+dwdx3VXbW4/WrE+gaDAVVV8Xq8IYFMtimL6dnlMfs0FkkgI4QQYkwIt9j3WBZzX36jXndvzLpuX+xgB/oCqIqsyUzJLKPeaedQVw3tntDzYYzGvlEdny948fH41HGcZp2BQZdYFu3RSgIZIYQQY4I5joW4ZnNfsKO6I4+c9Is2uhKOXtFTkl5ESXoRrb1tHOquwd7TjO/otFP/KIzH27fwOMeURVl6CSXpRUNqZ6yRQEYIIcSYYNIb0aGLul6lP5CJZ2qpN84RmXByLTnkWnLwaT7a3B209DrYr6vC0+OizDieOYWzyDRlHPfzjyUSyAghhBgzzHozLl9ozqXA9aOBTG9v7Kkl1Te0EZlw9IqePIuVPIuVnYYiunoc2HS5EsQMgQQyQgghxgyz3hQxkOlxGfho6ziqqu/B60ulxt63k2n2jBb0+tCTShIZkQnHZOqb+opnNEgMkEBGCCHEmGGJsAW7rd3MP56dTmfXwILgIw1wpCGD7bvyuOm6KozH5GUa6hqZaHz79zNt7VomHT5M9t/+hnrVVRgXL0YxyNt0LHIgnhBCiDFja+tODjuPhJQ//vRM6hvSIz7ujPkNXHJBTVCZSWfksvEXJNwn17JlqCtWhJTryspI+9//RZcjZ8dEIykKhBBCjBnhtmDXN6ZFDWIAtu3IR1WD3zJdai+Haw6jqsc/MuN+9dWwQQyAv7qanoceOu7nHiskkBFCCDFmhDsUr+5I7IW1btVAc8tA1mmf18f777/PY48/zrJly4KCGVVVqa2tjVmmaRrqSy9Fbde3cye+/ftj9m8sk8k3IYQQY0a4NAWKEt8KC0U3UK+zs5Mep5NsLDgcDux2OyUlJaiqyrJly3A4HFitViorKwFCykwmE/76evwNDTHb9WzejH7KlDjvcOyRERkhhBBjRpYpM6RsYmlHzMelpXqw5fcEvs/MzCQjtW8kx2q1YrPZALDb7TgcDoBAgBOuDIBjTvCNKN56Y5SMyAghhBgzUg0ppOpT6Bm0BTsvt5fJE9s5cCg74uMWzLUHbcHWG/Rce+nVTPCNw2azBbZO22w2rFZrYPSlP8AJV6YbNw4lKwutI3ogpZ827Xhvd0yQXUtCCCHGlHA7l3p6DDz9wjTsTWkh9WdOa+Gqyw+gO2YOY2HeXApTC0Lqq6qK3W4PCnDClQH0Pvkk7ueei9hXXXEx6X/4A4qiDOUWxxQJZIQQQowpTk8P7zaux6cFT9n4fAp79lpZ+4ERp1NhXKGOM8/oomxCaIJHi87MRcXnolMSW6GheTw4f/ADfFu3hlxTsrJI++EP0U+cmFAbo50EMkIIIcacA53V7GzfG/ba5k2baWhoYNGiReQX5IdcV1BYlD+fgpTcpPRF83rxrFpFx/Ll+Ovr0VJSyL7sMkxXXokuNzltjGayRkYIIcSYMzFjAg53Ow2uppBr/Z/vI03nzMqpSFoQA6AYDJguuQRHaSn/+te/mD17Ntddd13Snn+0k11LQgghxhydouP0vDlMzQydtokUyOgVPbNzpjExY8IJ6aOIj4zICCGEGJMURWF69lSs5mwOddXQ1NsKDApkdAOBzLiUAmbmVJBqSDkpfRWRSSAjhBBiTLOl5GNLycfp6cHe00Rb0yay7RoTlXzK82aTa87BpDcOf0c0DYtOQ6f5Y9cVAbLYVwghhKAv75H73/9GO3pgnWYyYb7gAix33IGSHj0XU0JUF+xejXffRgzeXvwo6EpmwPQlYC0avnZHCQlkhBBCjHmuJ55AfeGFsNd0ZWWkP/QQSmpq2OsJcffAqr9CR+iiY/QGOPdWKJyc/HZHEVnsK4QQYkzz1dWhvvhixOv+6mrcr7wyPI1vfzt8EAPg88KGF8AvKQqikUBGCCHEmKa++SbEmJxQ33gjtCzOLNcRy70qVIcehBektwuO7Il9E2OYLPYVQggxpvkbG2PW0Zqa0Hw+FL0eYEhZrsPVNZlM0N0GXnfsDrY3QsnMhO5xNJMRGSGEEGNaXAt509ICQQwMLct1xOzXhjh3QsVbb4ySQEYIIcSYZjrvvNh1liwJ+r4/yzUQyGgdrixSXQDSrZBdGKNlBYpnDOFuxh7ZtSSEEGLM677//rCJGwFISyP9179GP25cUPFQslxHKqdmO6x7NnLHSmbC2Tcd932NBRLICCGEGPM0lwvXb36DZ926oIW/uuJiUr/5TfRTpgxf41XrYOsbobuTisph8Y1gMIV/nAAkkBFCCCEC/I2NvPOrX+Hq7OTc224jc/HiiMkjk6q3m+YP36B21xYyrHlMvfA6yB0//O2OArJGRgghhDhKV1jIntJSNo8bhzJ79okJYgAs6ThsM3nFrme7YbwEMUMggYwQQggxiExUjCwSyAghhBBhnLDRGJEQCWSEEEKIQWREZmSRQEYIIYQYpD+QkRGZkUECGSGEECIMCWRGBsm1JJLD6+k72MlRB4q+7/yDwikgLwRCiJGku40ZFhe9WX50nc2QlnbCmta3tjKho4PM5mY0TZNAKk5yjoxIXOOBvpMp1Z7g8iwbLLkV0rJPSreEECJuai9sXA51u4IzYeeXwpk3DOvrmK+mht4//xnP1q0oR9vWjRuH+aabMC1dOmztjhYSyIjEdDbD638Anyf89Yw8uOwroJfBPyHEKcrvh1V/hZaa8NfTsuGSu8CcmvSmfXV1OP/nf9C6usJet3z5y5g/8YmktzuayBoZkZiq9ZGDGICulr5POEIIcaqq3xM5iAFwtsP+jUFFqqpSW1uLqqpxlUfS+49/RAxiAHr/9je0np6I14UEMiJRdTtj16mNo44QQpws1Vti1zk8UEdVVZYtW8Zjjz3GsmXLAkFLpPL+a8cGOP7OTrwbNkRv1+XCs3r1UO5mzJHxfpEYb5TRmH7RRmyEEOJkc8cx4tHrDHxpt9txOBwAOBwO7HY7JSUlEcv7AxyHw4HVaqWyshKTyYTW1gY+X9jmBvM3Nx/ffY0RMiIjEpNli6NOwfD3QwghjldqVuw6aTmBL202G1arFQCr1YrNZotaHi7AAVAyMuLa2alkxdG/MUxGZERippwBH9ZFqaDA5DNOWHeEEGLIJi2Aw9ti1Jkf+NJkMlFZWYndbsdms2EymaKW9wc4/SMy/QGOzmrFMGcO3i1bIrdrMGA899yEbm+0k11LIjF+P6z9JxzZE/76nEth+jkntk9CCDFUa5+B2h3hr1mLYennwWA87qdXVTUkwAHw7tmD8zvfAU/4KXjzDTdg+exnj7vdsUACGZE4vw/2fYC/agO6nra+srxSmLYYxs84uX0TQoh4+H2w4x3Y/yGoLgA0vQGldA7MuwyMlmFr2rt1K67f/Q5/Q8NAYUoK5muuwXzzzXIwXgwSyIik6e7q4vf/9zCZOTl8+e6vnezuCCHE0Hk9PP27X+Bxu/nM3d/EkJpxQprVNI3qFSvY8tprFJSVsfgrX0FJTf65NaORLPYVyaMouPwKHk1+rYQQI5TBSJ3bQLVLhzIMB+BFoigKank52woKsE+eLEHMEMg7jhBCCDGITFSMLBLICCGEEGHI2pSRQQIZIYQQYpD+ERkJZEYGOUdGJMWRVth+yELh/K+jKBprd8PMCZCddrJ7JoQQQyNTSyOLBDIiYRv3wdZDAAb05kwAdtfC3iOw9DQolYN9hRAjkIzIjAwytSQSUtvcH8SE8vlh1TZwuU9sn4QQ4rj4vFC9lcty3Vxp8/Wd9uvznpCmNa8X87ZtnNHQQPGePfjb209Iu6OBnCMjEvLaZqhrjV7n9Ckwd9KJ6Y8QQhwXRz2s/ge4uoLLUzJhyWcgp2jYmvZs2IDr97/vSyLZz2DAdMUVWD73ORS9ftjaHg1kREYkxN6enDpCCHHS9HbDe38LDWIAXJ3w7pNB2a+TybttGz0/+1lwEAPg9aK+/DK9f/nLsLQ7mkggIxIjU8hCiJHuwCZw90S+7nbCwU1BRaqqUltbi6qqCZX3Pv00+HwRm1ZXrsTfGmPYe4yTxb4iIcVWqG6KXmd83onpixBCHJe6XXHU2Q0zzgP6gpJly5YFsllXVlZiMpmGXO5vbcW3c2f0dn0+PGvWYL766iTc6OgkIzIiIbNKo183G2Hq8E0tCyFE4rzhM08H1xkYSbHb7TgcDgAcDgd2u/24yrXu7ri6p3WFmfISARLIiIQU5sDi6eFnmMwGuGQemGTcTwhxKsu2xVGnMPClzWbDarUCYLVasdlsx1Wuy80FQ+wXSF1hYcw6Y5nsWhJJ0e6EbQdVduy1o9frOHNOMRXFYDGd7J4JIUQM9oPwzuPR6yz9PBSUBb5VVRW73Y7NZsNkMh13ec8vf4nnvfcit5uWRuYTT6BYLEO+rbFCRmREUmSnwfyJKs07HkOtfZE5EyWIEUKMELZJUH5m5OvlZwUFMQAmk4mSkpKgoOR4yi233YaSkxO+XUUh5YtflCAmBglkhBBCiPmfgEXXBZ0X40qxwpnXw/wrhq1Znc1G+s9/jvHss9F0A2/JukmTSP3OdzBdeOGwtT1ayOoFIYQQAmDiPJg4j1VvrOSDDR9w0eXncEbZ3GFvVldYSOp991G3eTOrnnmG0unTufzOO4e93dFCRmSEEEKIQcxpmaiagtM5PIfgRaKlp2NPS8OVlXVC2x3pJJARQgghBklLSwM44YGMOD4SyAghhBCD9AcyPT1RTvsVpwwJZIQQQohBZERmZJFARgghhBgkNTUVkEBmpJBARgghhBgkxeVifmMjM3buRH3rLbTe3mFvs6bJxz/XZrCp65Os2DODtTs9+P1yXm085GRfkTTd3d08/PDDWK1W7rnnnpPdHSGEGBLN56P3j39EfeMN8PsHLqSlkVJZiemCC4al3T++2ssTb7o59t14VpmeX30plaw0GXOIRn46Iik0txv/u++y9PBhztizB8/mzUiMLIQYSXqXLUN97bXgIAbA6cT1f/+HZ+PGpLf58nqVx98IDWIAdlT7ePBJV9LbHG0kkBEJ827dStedd6ItW8Zpzc1Mr6mh5/vfp/urX8Xf1HSyuyeEEDH5W1tRX389SgU/7n/+M6RYVVVqa2tRVXXIZQD/WOWO2q8Ne7zsO+KL8y7GJjnZVyTEV1uL84c/BHfoH6O/uhrngw+S/tvfohiNJ6F3QggRH8/ataEjMcfw7duHv7ExkI1aVVWWLVuGw+HAarVSWVkJEFeZyWSittnH4abobQKs3elharE+wTscvWRERiREffnlsEFMP/+RI3jWrTuBPRJCiKHT4tyhpA06W8Zut+NwOABwOBzY7fa4ywA8cQ60xFtvrJJARiQkniBFAhkhxKlOV1wcu5LBgJKfH/jWZrNhtVoBsFqt2Gy2uMsAinN1ZKYqMZudXiKjMdHI1JJIiBZlNCbgBGxdFEKIROgXLcJjsWCM8nplPPtsdBkZge9NJhOVlZXY7XZsNhsmkwkg7jKzUeHKRUaefkcNbeyocVaFxTPkrToaGZERCdGXlsaso4ujjhBCnCwej4fnly/n9eJiIq1YUXJzsdx+e0i5yWSipKQkEJwMpQzgS5dbmF0WfsQlPQV+9NlUdLrYozZjmQQyIiGmyy+PXkFRMF122YnpjBBCDFFPTw9///vf2bNnD40lJahf/zr6mTMHKphMGJcuJf0Xv0BXUJD09lPMCo9+JY17r7EwLtuLgh+LwcP155j42zfTmVUmozGxyIF4IiGaz0fPT3+K94MPwl633Hkn5uuuO8G9EkKIY7TWQdNB0ICCiZBXQltbG0899RStra3k5uZy6623kp2dDfRtx9a6u9Hl5aEczb003KqqqvjXv/7F7NmzuU5eN+MmoZ5IiKLXk/rtb6O+8gq9r74KjY0A6GfMwHzNNRjPOusk91AIMaY5O2D9s9BSE1SsZhTw3F4XrZ0uSkpKuOmmmwI5lgB0ubmQm3uieyuOgwQyImGKXo/5mmtQL7yQ3//852RZrXz5618/2d0SQox1Hje8+zh0tYZcMnU1cUMuvFc0gyuvuwGjnHU1YskaGZE0iqLQazDgMUh8LIQ4BVRvCRvE9LOa4Oo5EySIGeEkkBFCCDE6Hd4es4quZscJ6IgYThLICCGEGJ08cSRcjKeOOKVJICOEEGLU0TSNDl8c09zp1uHvjBhWsphBCCHEiKFpUNsCLZ2gU2BCPlgzBl/X2LdvH6tWrSKzu5Fbxsd4wsmnD2t/xfCTQEYIIcSI0NQOq7ZB96AsApv2w/g8uGA22BtqeOutt6itrQXAl5dPZ5aJzI7a8E9YPK3vPzGiSSAjhBDilNfRAys/Ao839FpdCzz1RhO1mx4HIDMzk/PPP585c+agQ4Nd78P+D6G3u+8B5jSYcgbMPB8UWWEx0kkgI4QQ4pS3vTp8ENPPbywg0zaDs+aWcPrpp2MYfAzErAtgxhLobO6bm8rMB728/Y0W8i8pkqO3G+O+ddxY5MNg6oCDm2HCaWAYnvMZ/G1tqG+8gW/fPtDrMZ5+OsYlS1DM5mFpTwhxch1sjF1n7lnXceac8AkY0ekhuzC5nRKnBAlkROJqtsOGFzH7vUzLAHDDh8th+yo473bItiW1OXX1aly//jV4PIEy77p19D71FGk/+EFcGbmFECOHpoEaZTSmn1eLEMSIUU0mB0ViHPWw/nnwh3mVcXXCe0+CV01ac779+3E9/HBQENNPa23F+eCDaL29YR4phBipFAUyU2PXi6eOGH0kkBGJqVoHmj/ydVcnHN4WVKSqKrW1taiqOuQy90svgc8XsTnN4cDz3nvHcSNCiFPZtOLk1BGjj0wticQ07I1dp74qcFaDqqosW7YMh8OB1WqlsrISIK4yk8mEd9OmmM15Nm7EdOmlx39PQohTzowJcKgJmjvCX587CbLSTmyfxKlBRmREYvyRR0fC1bHb7TgcDgAcDgd2uz3uMgDNG89EeRx1hBAjgqZpqD4PKD4un6/ha9+K3zuQViArFc6dAadPOYmdFCeVjMiIxOQUQXN19DrWgfFem82G1WoNjLTYbH0LgeMt00+Zgm9H9CRv+inyiibESNbS6+Bwdx3Nva2o/r71cDp0+Lo97K15l0JLEZ/77Fcx6BQZhRESyIgETV0UPZDR6YOOADeZTFRWVmK327HZbJhMJoC4y8yf+AQ90QIZvR7TZZclfFtCiBOvy+Nkc8s2Oj1dIdf8+Nl+YCddKS6KK4y0+A8yJb0MkJ1KY51MLYnETJgFkyLkKlF0cMbVkJoVVGwymSgpKQkEJ0MpM55zDsZI6190OlLuvhtdXt7x348Q4qRocrWypvGDsEEMgM/ro76+HkVRGF8ynqqOA6xu/BCPP3QHoxhbZERGJG7h1WCbiG/POnAcwQ8YJ8yEisWQNyHpzaXefTfqaafhevllfHv34lcUUs86C9M112CYJnlThBhpWnvb+KD5IzS0iHXq6+vxer0UFBRgSbEA0OnpYnPLNhbmz0MnqQbGLAlkRHKUnoYrdxIPP/wwVquVe26+aVibMy1Zgjp/Pv/X39499wxre0KI4eHX/Gx17AobxGgaeHuz0Px6Go7sBGDChOAPR029rexp38+MnPIT0l9x6pFARgghxElzoPMw3V5nSLmrvQhn6yT8nr5T7kqz52O1VJGb0wK4guoe6q5latZEjLrhSYkiTm0yFieEEOKkqetpCCnraS2lq3FWIIgBUBQdmSnTaa9diE9NCarv03wcccaRjEmMShLICCGEOCncPjddnu6gMr/PQHdL5CMUNJ8ZZ8vkkPJaZ33S+ydGBglkhBBCnBQOd3tIWW/HOIiR/LG3y4bfF1ynXe3EG88BnWLUkUBGCCHESRFuga/fmxKm5rEP1OP3mYKL0GhXI+QvEKOaBDJCCCFOinCLcxW9Gqbmsfzo9KHnx4Qb4RGjn+xaEkmxscrLv971sant8+g7wfWci08vMVFmG55TN4+0wvZDFgrnfx1F0Vi7G2ZOgGw5rlyIESNcIGPJbMDZPIVon7NN6S3o9KE51SSQGZskkBEJ+8OKXp540330uwzwwgtrVF7ZoPLjO1JZMju5WyI37oOthwAM6M2ZAOyuhb1HYOlpUFqQ1OaEEMMk3ZCGDh1+/IEyvdFNSk4trrbS8A9SfKTlHQh7qc3djqZpKIoyHN0VpyiZWhIJWbvTMyiICaZ64f6/9eDo8oe9fjxqm/uDmFA+P6zaBq7w3RFCnGIMOj1ZpoyQ8vSCKlKtB0EJXryr6LvILvkIoyV8GgOP5g3ZBSVGPwlkREKeWx19PtvtgZc3BNdRVZXa2lpUVR1y2c6a6P3x+aHqyBBuQAhxUlnNOSFligLpBfvJm/IemeO20+V7m911v6Vb/zSm1Laoz+dwy4LfsUamlkRCth4MnacOrTPwqUpVVZYtW4bD4cBqtVJZWQkQV5nJZMLeHrtP8dQRQpwarOYsDoQfYEGn92LJaiClu56ug/toaytiIhOjPl+b2k4Z44ehp+JUJYGMSEg8U9G6QXXsdjsOhwMAh8OB3W4PfB2rrKSkBGTqW4hRxWrOjlknx9o3atPWFn00BqChp4ksUw1l6eMlkeQYIf/KIiELK2LHwoumDdSx2WxYrVYArFYrNpst7jKAYmvsPo3PG+pdCCFOFrPeTJohNWqdlJQUrHoT0w80k7fqIzIPRD7F16t52dG2h/caN9Dc25rs7opTkIzIiITcdJ6Zd7d50ULPtQIgM1XhioUDB1eZTCYqKyux2+3YbDZMpr5r8ZbNKoXqpsj9MRthalFy7k0IcWJYzdk4vT3hL/r8TFq+lsXv7cPo88O2ZgC6i3KpuvVCukttYR/W5elmfdNmxqXYmJlTTqohjoP2xIgkIzIiIXMnG/jvGyxB00f9MlMVfvWlVNItwRdNJhMlJSWB4GQoZYU5sHh6+BkmswEumQcmCc+FGFFyTNkRr5X/6x1KVm3pC2IGSa9vZc4jy0ltdER97gaXnXfq17Knfb+kMBil5CVfJOz6c8wsmGrgX+84eefDekxGHZ+6uJSrzjSSnZ78WHlGCRRZYdtBlR177ej1Os6cU0xFMVhMsR8vhDi1WM1ZYctT7G0Urt8V8XGGXpUJr21izx2XRH1+H372dh6k1lnPjOxyitMKE+qvOLXIiIxIijKbnruv1LE46xkuGf86t19kHpYgpl92GsyfqNK84zHU2heZM1GCGCFGqgxjOkYl9HO1bWMVSoRp6375H+9Hp8bePQng8vWyuXUba+0b6VAjbJUSI44EMkIIIU4qRVHICbN7ydjlivlYndeHvjee/EwDWt1trG78gOquuiE9TpyaJJARQghx0oXbhu3OSY/5OK/JgDfVPOT2/PjZ1raLbY7d+LXknT4uTjwJZIQQQpx0uWFO+G08czp+XfS3qQ9tKXy8fTvu3uPLTVLdXcuhrhhHhotTmgQyQgghTjqrOZsUvSWoTM1Op/bSBREf40wz8155LnV1dbzzzjvs378f/6DdTYrfT1FLM9MOVzO1rob0nvBbvPd0HMDpibD9W5zyZNeSEEKIk05RFManFbGv82BQefWVZ6KmpzDhzc2Y250AaIpC66wy9n9qCQvSzOzevZu6ujr27N5DbU0tM2fOZKbJyLz9VVg8nsBzTa85TIM1l4+mVuDT6wPlPs3H7o59nJ43J1C287CX7Yd86PVw5jQDJfkD9YeD5vNh3r6dBQ0N5BuN+Ds60GWF380lgkkgI5LG79dw+1Nx+07M9iFNA50xDXRDnx8XQpx6JmWUUNt9hF5/8DRR/flzqD93NpnVjehVLz2FObhz+rJmm4G58+ZSVlbGjh07aG9vp3HzJj6bnYExTBvjHK2cXrWbD2bMCipvcrXi1/wcadF48EkXu2oGzpxRFDh3loEHbkklMzX5eVI8H36I63e/I8fh4FyAI0fo2rgR05VXYrnjDhT98AZRI52iaZHOZBUiPl6fxj/fVXl+dS+NR1OhzCzV85mlZi6cG+6lJDF+P2w/DLtq/DjdfbOj+VlwWilMlOMhhBjRmntbWd+0+fgerEFdXR1nHdrPPEP0N//3Z8+lPSMjqGxW2kK++hsdzR3h3xZnlen509fS0Ic7AfQ4ebdvx/nAA+ALf1if6aqrSPniF5PW3mgka2REQrw+jW/9tYdHXx4IYgB2Hvbxncd7eOLN3qS25/fDm1tg4z4CQQxAcwe8vQ22HIz8WCHEqS/fkss86yz0x/P2pMCE4iLmGGNPNuTUHKa9rR1ntxOP6gENnl/tjhjEAOyo9rF6e/CZNaqqUltbi6qqQy4D6H366YhBDID66qv4HdFPLx7rZGpJJOQ/Gz2s2Rn5MKo/vupm6RwjEwqSMzS6rwFqWyJf37QfJtogKy0pzQkhToKS9CIyjGlsatlGjy/2WTKD6f0+dHFMNHTY7aw5WB34XlEU9h6oACwRHwOwcpPK+XP6RppVVWXZsmU4HA6sViuVlZUAcZWZTCb8ra34duyI3lGfD8/q1ZivvjrmPY1VMiIjEvLimugHUWka/HtdcJ1EPsHsro3dpz1yxpUQI162OYvzxy2mPHPSkEZnPHoDvcbYU9qu9HTy8/PJysoiJSUFnU6H6osexAB09gwESXa7HcfR0RKHw4Hdbo+7DEDr7o7rnrQuOYU4GhmREQk52Bg7CduhxoHtkIl+gmmL4+8+njpCiFOfQadnWvYUJqQXs7NtLw0ue+wHKQo1BYWUH4n8qcenKPjmzmORKXhjQkeHmQP10Z9+nHUgqLLZbFit1sDrlM3Wl4k73jJdbi4YDOCNnmJBVyiL/6KRQEYkJNWs4PZEH8YdnAMp0ieTeMpKSkow6sEX4xDOGGv8hBAjTKohhTPy59DS62BHWxWdnugjFPuLx2Nrc5DV4wx7fVfZRNRjgph0QxrXLk7hl89HX9d31ZkDjzOZTFRWVmK327HZbJiOPme8ZUp6OsbFi/G8/37kBtPSMJ5zTtQ+jXUytSQScsGc2EO4SwftXOr/BAMEPpnEWwZQZovdp4lx1BFCjDx5FitLChcxO2caJl3k1x6vwcDaWadxcFwRnkFbl9vT0tlYMZ1D44pDHlOaXswnF5mYVRb5k9DlZxiZOzn487/JZKKkpCQQnAylDMBy220o2dnhG1QUUr7wBRRL7CmvsUy2X4uE1DT5uP0X3bgiLJUps+l46lvpGPQD2xVVVQ35ZBJvWYcT/r0BvBFmtLLS4PqzIMap5kKIEc7tU6nqOMDh7jo0Ir+N6X0+UtxufHodLnP4gCBVn8KSwjMx6Y04ezV+90ovr37gptfT97plzVD41Lkm7rjYjC6JW6/7+Roa6H38cTwffIDi7xty1pWVYbnlFoxnnZX09kYbCWREwjbv8/LdJ3po6w7+VaoYr+MXX0jDlpPcqKLeAau2Qq8nuDw3Ay6eB+ny4UWIMaND7WJH2x5a3W2xK4ehV/Sca1tIpin4TJmtO/fz2D9XMXlSGXfdfjFGQ/IDmGPt27iRVc8+S+n06Vz2uc8Ne3ujhayREQlbMNXAyz/I4NX1XfzzlY9JsZi4+zNncEbF8Px6FVnh5vNgV3Uvb6/ehsVs5JMXz6M4d1iaE0KcwrJMGZxtO4P6nkZ2tu3DNYTt2gbFwIK82SFBDIABN1ZjA6W5thMSxAD4MzNpTE8nP9JUkwhLAhmRFCaDwsXzdGxb9S5Wq5UzKoZ3OFSvg4kFXjqqV6K3WinOnTes7QkhTm1FqYUUWPI50FXNoa4aVL8nav3ClHxm50wnxRB+CNdzNEeTMY6t3OLkkkBGCCHEqGDQ6anImsyUzDIaepqoc9bj9Lrw+L34/F4yTBnkW6zkW3LJs1ijPlf/+VXHLs4Vpx4JZIQQQowqekXP+LRxjE8bd9zPISMyI4fs7RBCCCGOoWtowOZ0YomSBynZ9J5eiiwa6Vpyc9SNdjIiI4QQQhylvvsu7mefZUZtLTMA/7599GzdiuWOO9Dl5AxPo91tsPV1JtfuYkqpBp7d8PofYNb5UDx9eNocRWRERgghhADcy5fjevhh/LUD6Q10Xi+eVatw/s//4G9vT36j3W3w1p+gdifK4PNw2uph9T/h0MfJb3OUkUBGJI1LVTBnT0GXWhLxwLpkau3UaFLLaOgZR68qxyEJIY6fv6OD3r/9LfL1xkbczz2X/Ia3vwW9kRLEafDRf8AbPTnvWCcH4omEuVRYtxuqmzQ0re+8BZMBppfAgsnJP2W3rdvPL5/v5Z2tnkDepfQUuO5sM5VXmINOERZCiHi4X3yR3scfj14pLY3Mf/wDxTCwKiORk8pRXbD8IfDH+OS36DqYKEdMRCJrZERCVA+8uhHanQCD0hB4Yesh6HbBBaclr71ul8aXH3FSbfcfUw5PvuWm0eHnh59NTV6DQogxwd/YGLuS04nW1YVydK2MqqosW7YskNW6srISIK4yk8kEPZ2xgxiAbsdx39dYIFNLIiG76/qDmPAONIK9PXntvbDGHRLEDPbGRx62H/Imr0EhxJigpKfHrqTXo6SkBL612+04HH1BhsPhwG63x10GgCmFuMRbb4ySQEYkpOrI0OuoqkptbW3gwKmhlL3yQfTTOgFe3iDzyUKIoTGed17MOoZFi4IyUdtsNqzWvoP1rFYrNpst7jIAUjMhvyx6o4oOJswa+g2NITK1JBLijOO4g55BdRIdim1qjzwa06+pXZZ9CSGGRl9ainHJEjzvvx++gsmE5VOfOqbIRGVlZcjal3jLAJh1Abz7N9AivLZNOQNSMhO+v9FMRmREQlLiOL17cJ1Eh2KtGbEX8sZTRwghjpVy770YL7wwZIeCkpdH2oMPop8yJeQxJpOJkpKSoOAk3jIAbJPg7BvBcszUlk4P5WfCvCsSv7FRTgIZkZCpRbHrTBlUJ9Gh2MvPiB05XRFHHSGEOJZiNJJ6771k/OUvbJ83j7XFxfR8+ctk/OUvGObMGb6Gx8+Aq77JkbJzebtZxxb9eLjqmzD/E8nf9jkKydSSSMiMCbCvHrojTDGNz4Xi3IHvEx2K/fQSE//5UKWxLfz00VnTDZxRIb/WQojjp8vPp7q8nAN6PbNPOw1Frz8BjerpzilljWM9s4vzmXvsCI2ISEI9kZAUE3ziDBh3zMndOgXKi+GiuaGPSWQoNiddxx/uSWf+lOAXFqMerjrTyM8+J1uvhRBiLJGPriJhGSl9wcyRph6efv4N0lJTuOPmS0k1D097Rbl9wcyOA1385q+vkZGewnfvvoLcTInLhRBirJFXfpE0Wal+epq34uvaO2xBzGBlNoXx5l1MzDgkQYwQQoxR8uovhBBCiBFLAhkhhBBCjFgSyAghhBCD9HrAZ55Iqm0BbT0n5jgHTdPYWWficO9sdjXZcPbKwZ7xksW+QgghBOD3w4f7YHct+LLOJicLPjwM+1rh3JlQkDU87W7a6+Wnz7ioa7ECF7JzN7z9YCe3XGDmC5eZURQ55DMaGZERQgghgLW7Ycdh8B2TLaCtG1Zu6vt/sm2v9vL1ZU7qWoIb7XHDX15z84cV7uQ3OspIICOSQtOgoU1PxvglGKwLaO0a7vY0Nu7T2OdaxA7HLPYd8Q1vg0KIUa3DGT0JrscHWw6GlieSBBfgT/9xo3ojt/v0O27aumPnmBvLFE3TZCJOJKSlE1Ztg86e4PLiXLhgNliSPMVcVefju0/0UNsc/Me9sMLAjz6bQlaaxOdCiKHZvB8+DhOoDKZT4PalYDh6HmeiSXBbO/184sEuYr0Lf+N6C59ecgLOtBih5BVfJKTLBSs3hwYxAEda4fWPwJ/EULnB4efu3zlDghiAD6u83PvHHnzJbFAIMSa41Nh1/BpBoyeJJsFt79ZiBjEAji55TYtGAhmRkJ014PZEvt7cCbXNwWWJDMU+856bzp7If9S7anys2RllnFYIIcJIt8SuY9SD2TjwfaJJcPOyFPRxvAuPs8pbdTQytSQS8vR7fYvSoplUCEtP6/s60aHYTzzQSUtn9F/Zi+YZ+fEdknNJCBE/Zy/8azVRR0imjYdzZgSXqaoaktw23jKA+x5z8s7WyB++Us2w4n8zSbPIzqVIJMwTCYk2GtNPHVQn0aHYLlfsuLs7jjpCCDFYmgXmTox8PdUM8yaFlieSBBfgy5+wkJkaOUj5f1daJIiJQQIZkZDMOAY+BtdJdCi2JC/2r+z4fPm1FkIM3YIpsHhaX1AzQGNCPnxy4bHlyVFm07Psq2ksrDCgMPAhbHyeju99JoVPySLfmGRqSSRkZw2s3xO9znVngTVj4PtEhmKfe9/NL1/ojdreU99KZ0qR/vhvSggxpvk1+Mczr1Hf2Mx1V11I+aSiE9Lu6g/388zLq5k2pYSvfPZCOQgvTvLRVSSkohhs2ZGvzyoNDmIgsaHYq84yMWdS5CDllvNNEsQIIRKiU0DnbcHdcZAU44k7o6ogy0e+sYaizE4JYoZAAhmREIMeLl8As0vBZBgY3MtMhcXT4cyK5LZnNio8clcan1lqIiNloHx8no7/+ZSFr12bEvnBQgghRh3JtSQSZtDDogqoKHTyuz/9nazMDD7/pVsZrg8UFpPCV69O4TNLvPzkV38jJzuD7/7X7fIJRgghxiAJZETSGPTg7WlCs3iHLYgZzGxUyDS0kmXSJIgRQogxSqaWhBBCCDFiSSAjhBBCiBFLAhkhhBBikC0HvLxfM5Ptzgt5dbMpalqUZHG5obbDSvakT9JjmkVL57A3OWrIGhkhhBAC6HD6ue+xHj7a7wP6jvF9/B14ek0n9306hSsWmqI/wXHacRg+3At+LZ80Wz69wPINUJLXl97FKO/UUcmIjBBCCAGDgphgbg/88GkXG6uSn5D2YCNsqOo7hO9YtS3w/s6kNznqSCAjkqK1089T7/jZ1PVJ3m84j5c3qPSqwzcc2+OGnXVGrBU3Yiq6nKoj4D1x51YJIUaZ7Ye8YYOYfn4Nnnw7NEOuqqrU1taiquqQywC2Horer0N26HDGeRNjlKQoEAl762OVH/zDhXrMh5X8LIXffDmNyUk+afdgI7y3A3z+4PJUM1w2P/QkYSGEiOWRl1w8tUqNWkdR4K2fZZJ+NImjqqosW7YMh8OB1WqlsrISIK4yk8lEVw88syZ2386YCnOiJLQc62RERiRkT62PB58MDWIAmjs0vvZHZ1JHZlo64Z3toUEM9I3SvPaRjMwIIYauN3SwJYSmgXvQ65ndbsfhcADgcDiw2+1xlwF44nytkte06CSQEQn557vusEFFv+YOjdc3e4LKEhmK3XG478Ukkh437G8Y+n0IIca2yUWx3w5zMxWy0wcO37TZbFitVgCsVis2my3uMoCMFDDGMWBtTR/q3YwtMrUkEnLxtztjbk1cMtvAL76QBiQ+FPv3VeCOsd6uNB8unpf4vQkhxg5nr8aVD3bSE2Vk5vOXmvnSFZagMlVVsdvt2Gy2QILbeMsA1u6C3XWR20w1w03ngk6GHSKSH41IiMcbOw72DAo8Eh2K9cURdsdTRwghBkuzKNx/cyr6CO+Ks8r03H6ROaTcZDJRUlISFJzEWwawYCpkp4VvU6+DJbMkiIlFfjwiIdMnxB4XnTGoTqJDsXmZsfuUH0cdIYQ41oXzjPz+7jTOmWlAoe8TkTXdzxcvM/O7r6RhMSU/p5vFCJ9c2LeY16g7+qlP8zPR1lc+PjfpTY46MrUkEvL2xx6+80RPxOsGPbz4YAa27IGYOZGh2IONsGpb5P7oFLjxXEizRK4jhBCxPPHk0+w7UMOXPv8ZSieUnJA29+yp4tkXljNzegXXX3fNCWlzNJARGZGQC+cZufosY9hreh1856aUoCAGEhuKnVQIFcXh+6IocM4MCWKEEIkz6PyYdG50yR+EiUhRQPP2ohBlB4UIIQcfi4R956ZUTi9XeeZdFzsP+9Apfs6fk8rN55uYPTH5v2LnzoQiK2yv9tHcAeBn0jgjs0rBlp305oQQQpzCJJARSXHJfBOLy1Uefvj/sFqt3HPnPcPa3uRxYMtw8fDDD2O1WrnwsuFtTwghxKlJppaEEEIIMWJJICOEEEKIEUsCGSGEEEKMWLJGRgghhOin9sKhj7lEX4Ov1Evm3ncg5XzImzCszXq3biXruee4Ze9ejHV1uFNSMF1wAYpFtmHGIoGMEEIIAdDRBO/+DVydFCiABWjeB2/tg4rFMO/ypDep+f24fvMbPKtWkQKkALhc9P7+96jLl5P2wx+iKyhIerujiUwtCSGEEH4/rH4KXJ3hr1etg0MfJ71ZdflyPKtWhe9SfT09Dz2U9DZHGxmREUnh3boV30sv8fmtW0Gvx2UwYLrySvQlw3Qipv0glt1r+fokL5quBTa9AuVnQmb+8LQnhBjd6qug2xG9TtU6mBickTaRk8o1nw/3ihVRm/Tt3Yt3924M06cf542NfhLIiIT1Pvkk7ueeAyADwONB/c9/UN98k9RvfQvjokXJbXDbW7DrPQxAphHAD/s/hIMfwdmfhmL5gxdCDJH9YOw67Y3g7gFzKtAXnCxbtgyHw4HVaqWyshIgrjKTyYS/vh6tuTlms94tWySQiUKmlkRCPJs2BYKY0Iseen7+c/zt7clrsH4v7Hov/DW/F9Y9B73dyWtPCDFGxJl2cFB6QrvdjsPRN4rjcDiw2+1xl4nkkUBGJER95ZUYFVTUN988pkiltrYWVVWHXMa+DdHb83ng4Oa4+y+EEADkl8auk5kPlrTAtzabDavVCoDVasVms8VdBqAbNw7laHk0hpkzh3o3Y4pMLYmEeHfvjlnHt2tX4OtEh2JpPhy7U801x3czQoixa/wMSM2Cno7IdaaeGfStyWSisrIyZO1LvGWKwYDp8stxP/VUxCZ1ZWUYTjstwZsb3WRERiRGiSM17KA6CQ/FDrE9IYSIi04P59wMptTw1yfOgylnhBSbTCZKSkoCwclQygDMn/oUhgjrCJXcXFLvu+84bmZskUBGJMQwd27sOvMGVvknOhSLbXLsThVOGdpNCCEEgLUYLr8bZl5Au2aiTQVXTgmceyssum5YPiQpej2p3/kOqffdh7u8nA6TiS6rFfPtt5P+yCPoi4uT3uZoo2iaFucKJyFCeXfuxPntbwctgBtMycgg4y9/QUkd+JSTyHZFmg/D238l4sI8Uwpc+V9gktMwhRDH76mnnmL//v3ceeedTJgwvKf69quqquJf//oXs2fP5rrrrjshbY4GMiIjEmKYORPLl78MutBfJSU9ndQHHwwKYiDBodj8UlhwZfhPRqYUWHKrBDFCCDGGyGJfkTDzFVdgmD0b58svU796NTqjkdKrr8Z48cXosrKS3+DUhWCbiLprLfbdm9HpjRSfcT5MWgDmtJgPF0IIMXrIiIxICn1JCbrPfpZnpk/n9YULMd9ww/AEMf0y81FnXcRjNQZe7MiB6UskiBFCiDFIAhkhhBBCjFgSyAghhBDH0Pl8mL3evmSSJ4hfA9VvxuuXIySGQtbICCGEEEd59+zB/fzzXPbhh+g0Df/999P7iU9gvvZaFMvwbCTo6tH4+9tu/r02n07XXaxa42dLVw+fvdhMxXj9sLQ5mkggI4QQQgCe9evp+fnPwesNTFfoOjpwP/003k2bSPvxj5MezHQ4/dz1WycHGvxAX9Di13S8vcXDmp0efvnFNBZWyFt1NDK1JIQQYszTenvp+c1vwOsNe923dy/uZ59NervL/uM+GsSEcnvgB//oweuT496ikUBGJI2mgc6YBjrzCWnP79dw+1Nx+0yxKwshRBSe994DpzNqHfXNN9F8vuCyBJLgutwaKzeqRNPSqfH+9vDBlegj41UiYX4/7DgMO2tSGXf6NwF46QM4rRQmFia/Pa9P45/vqjy/2k9j+5egHXb9qpvPLDVz4Vxj8hsUQox6vurqmHW09na09naU3Fwg8SS49a1+etyx+7av3sdSeW2LSEZkREL8fnhzC3y4D5zugV+n5g54extsOZjc9rw+jW/9tYdHX+6lsW2gfOdhH995vIcn3uxNboNCiDFBMcc5kjzopPFEk+BaTPHtTkqJs95YJYGMSMi+BqhtiXx9037oiD5aOyT/2ehhzc7Iw6x/fNVNTZMv4nUhhAjHsHhxzDr62bPRZWQEvk80CW5xno7y4uhvw4oC558mkyfRSNJIkZDlG6ClM3qd2aWwqGLg+0SSRt7xy25210YPVG65wMTXrkk5/psSQoxJ3fffj2/r1vAXFYXU738f4/z5QcUJJcEF3vpY5btPuCL2aelcAz+9U04tj0bCPJGQtu6h1Ul0TvlgY+zRloMRdgAIIUQ0affdh/MnP8G3fXvwBZOJlC9/OSSI6bvUl9z2eMoALppnorlD49GXe/Ee8/J29gwDD96SGvIYEUwCGZEQox58MeIGw6DznCLNFcdTVlJSQqpZwe2JPoiYcmI2TQkhRhklPZ30n/wE786d7HjsMZwOB5PPPZeCG25Al5k5bO3efL6ZS+YbeeLVetZ9fJhx+Rn8v0/PYEapvEXHQ9bIiISU2WLXmTioTqJzyhfMib1yX1b3CyESYZg5k10LFvBWWRnuCy8c1iCmX26mjivnOzkt7S2WTt4vQcwQyE9KJGR2KexvIGRItF9WWnCwYzKZqKysDJkrjrfs5vNNrNyo4opw9EKZTccFp0kgI4QQY4WMyIiEZKXBJfPAEuZMutwMuHwB6I/5LeufKx684C3esgkFeh7+Uho56aHbESvG63jkrjSMBtmqKIQQY4WMyIiEFVnh5iWwq7qXt1dvw2I28smL51GcOzztLZhq4OUfZPDq+i7++crHpFhM3P2ZMzhD8pEIIcSYIyMyIin0OphY4KWjeiWe5jXDFsT0MxkULp6nY2bau5yev0mCGCGEGKMkkBFCCCHEiCWBjBBCCDGI36/R0JVNs2cCLV0nbs2dvrWVCR0dZDQ3I2fVxk/G44UQQoijXlzj5m9vuWlsOxuATX/ROGemk69fm0Jx3vB89vfV1ND75z+Tt3Ur12ka7NtH9+bNmG+6CdPSpcPS5mgigYwQQggBPPFGL394NTgdtaYprN7hZXdNN3/9ejqF1uQGM766Opz33YfW1cXgsR9/QwOuX/8azeXC/IlPJLXN0UamloQQQox5rZ1+/vKaO+L1lk6Nx97oTXq7vf/4B1pXV+Trf/sbWk9P0tsdTSSQEUnT2qnRpJbR0DOOXnX453ddqoI5ewq61JKIB/IJIUQ8Vm7y4InxOvLGZk/Ia5uqqtTW1qKq6pDL/J2deDdsiN6oy4VnzZr4b2QMkqklkbC2bj+/fL6Xd7b68fmvgW744MFOrjvbTOUVZgz65C6Wc6mwfg8csqeSN/0zADz9HkwvgQWTQSfhuRBiiBodsZPNulTo6NGwmPpe0xJNgqu1tYEv9qcwf1NTAnc2+kkgIxLS7dK467dODjX6jymHJ99y0+Dw86PPJi97q+qBVzdCuxMYNKOsemHrIehywdLTktacEGKMyA5zWvixDHrISBmol2gSXCUjAxQFYuxQUrKyhn5DY4h8dhUJeWGNOySIGezNjzxsO+RNWnu76/qDmPAONoK9PWnNCSHGiMtPN6HEiGXOm20k1TxQKdEkuDqrFcOcOdEbNRgwnnvucd7V2KBoslldJOCGH3VR2xx9SPaqM4189+aBURlVVUOSQcZb9uwa6Iyx7q28GJbMTOCmhBBj0s+ecfHvdeEz0qaY4C9fT2dKkT6oPJHXMwDvnj04v/Md8HjCtmu+/nosd9yRhLsbvWRqSSSkqT32vLK9fSBWTnRO2RnHpoF46gghxLH++1MWUszwwhoV96C4osym4/6bU0KCGBhIbns8ZQCGadNIe/BBXL//Pf6GhoELKSmYr74a8y23JHZTY4AEMiIh1gyFBkf0Qb3cjOTNKaeYoDtGoJIaJhO3EELEotcpfO2aFO642Mwv/7KaI40OPvWJM7j8nPHD2q5h7lzSly2jesUKtrz2GgVlZSz+yldQUpO3vnA0kzUyIiGXnxE7arhiUJ1E55SnFsXu05Q46gghRCRZaTqm5x+h1LKNGSUn5mwHRVFQy8vZVlCAffJkCWKGQEZkREI+vcTEfz5UaWwLPypz5jQDp5cPDMeaTCYqKytD5orjLZsxAfbVRx6VGZ8LRdYk3qAQQohTmozIiITkpOv4wz3pLJgaPHds1Pct8n3o86kox2wF6J8rHrzgLd6yFBN84gwYlxPcD53St8j3ornE3HkghBBi9JARGZGwolwdv787nR0Hu/jNX14jIz2F7959BbmZwxMnZ6T0BTNHmpw8/fybpKWmcMfNl5JqHpbmhBBCnMJkREYkTVmBwnjzLiZmHBq2IGawrFSNnuat+Lr2ShAjhBBjlAQyQgghhBixZGpJCCGEGKSp3c/WxlIaXFlsOmBgfImGXje8i+80rxfztm2c3tBAntGIv70dXXb2sLY5WkggI4QQQgAer8Yvnnex4gMPPv8sAH7+EvztvS7uvyWVhRXD85bp2bAB1+9/T05bG+cAHDlC18aNmK64AsvnPoeiDz2ITwyQqSUhhBAC+PG/XLy03oPvmAPL7e0a3/yzk901ycsb18+7bRs9P/tZXybsoAte1Jdfpvcvf0l6m6ONBDJCCCHGvGq7j5Ubw+c7AnB74LE33CHlqqpSW1uLqqpDLgPoffpp8EU+dE9duRJ/a+tQbmXMkaklkRyahr7pIEty/ZgtTmhvhOzCYWxOQ9u6lUX19Zjb2/EdOoR+4sRha08IMbq9sTlyENNv7U4vzl6NNEvfeplEc8f5W1vx7dwZvVGfD8+aNZivvjqxGxzFJJARiWurh3XPktLVygV5AE547XdgmwyLPw3m5B617TtwgJ6f/xx/fT1nHS3r/upXMcydS8p//ze6zMyktieEGP06e6LnjAPw+aF7UCCTaO44rbs7rr5pXV1Du5kxRqaWRGKc7fDOE9AVZujTfgDeexL8sTNkx8vf1ITzgQfw19eHXPNu2ULP97+PFmWYVgghwinOi/12mGqGnPSB3UuJ5o7T5eaCIfZ4gq5w+Ea3RwNF07TYYagQkXy8EqrWRa9zzi0wfnrgW1VVQ3IoxVvm+stfUF96KWpzqd/9LsYzz0zgpoQQY02H088nv9eFO8oM0/XnmPifT6UElSXyegbQ84tf4Hn//ciNpqWR+cQTKBbL8d/cKCdTSyIxh7fHrlOzLRDIJDqn7Fm9OmZznvffl0BGCDEkWWk6vvJJC796MXxG2nFWhc9fGnqEeH9OuOMpA7Dcfjve7dtDdy0BKAopX/yiBDExSCAjEuOJkIZ6MHWgzomYU9acziHdghBCANx4npnsNIXH33RzqLFvSlyv83PxPDN3X20ZltQrOpuN9J//HNcTT+BZvx7l6FS8btIkLDfdhPGss2I8g5BARiQm3Qod9uh1MnIDX/bPFfePtPTPFcdbpisqwl9dHbU53bhxx38/Qogx7dLTTVx6uonVmw7z4ksrmT01j8/dfsOwtqkrLCTtvvvYt2kTbz/zDGUzZnDZnXcOa5ujiQQyIjGTT4ePXo1d5yiTyURlZWXIXHG8ZaZLL6V32bKozZkuuyyBGxJCCKiYkEK2wY5fPXFvk/6MDOzp6RRkZZ2wNkcD2bUkEjN5AeSVRr5esTjkPJn+ueLBC97iLrvkEvQzZkRsznTNNejLyoZ+H0IIMUhaWhoA3XFukRYnjwQyIjF6I5x/O0w7G804aEFauhUWfBLmXZ7U5hSTibQf/ADTtdfC0Rca6JtOstx1Fymf/3xS2xNCjE2pqakoioLT6UQ2957aZGpJJM5ggrmX4Zy4iL///jdkZGVx6433gjI82WIVi4WUz30O7zXX8LeHHiIjJ4fbv/UtlGFqTwgx9iiKQmpqKk6nE1VVMZtDdyyJU4OMyIjk0RtpUhXafIZhC2IGU0wmWlNT6UxLkyBGCJF06enpADhlJ+QpTQIZIYQQIoz+dTISyJzaJJARQgghjuHv6GD6wYNccugQ+iefxLtly/Culel2kFf/MTcU+ZjvrYHGAyBrc+Iia2SEEEKIQdQ338T1hz8w1XM0X0FrK84NG9BXVJD6wAPokr09esc7sPMdcjWN3AzA3wrvPgH5pXDuZ8CUEusZxjQZkRFCCCGO8nz8Ma7f/hY8oUmXfFVV9Pz4x8lt8NDHsGNV+NGX5sOw4fnktjcKSSAjhBBCHOV+4YWoUzq+3bvx7tgRVKaqKrW1taiqGrEsXB0AdsfIH1e/N/bp6WOcTC2JpPC3teFfsYJP7t+PwWRCffNNjEuWoAzXlsXeboz71nFjkQ+DqQMOboYJp4HBODztCSFGPa2nB9+2bTHreTZswDBrFhBfItw777yTxx9/PCQJLl2t0Nkcu2NH9kCWLaF7G80kkBEJU1evxvXrX4PHw+SjZa5HHqH3qadI+8EP0JdGOfn3eNRshw0vYvZ7mZYB4IYPl8P2VXDe7ZAtf/BCiKHTPJ74FtgOGlWJJxFuVVVV2CS4+L3xdcwXZ70xSqaWREJ8+/fjevjhsPPJWmsrzu99D603jgzZ8XLUw/rnw78AuDrhvSfBq4ZeE0KIGJSMDJS8vJj1dBMnBr7uT4QLBBLcHltWUVERUgeANCsMPhE9kpyiId7J2KJocvaySEDPww/jeffdqHVS7r4b06WXBr5XVTUkGWS8Zax/Hg5vjd6pM64OSlQphBDx6v3Xv3A/9VTkCikpZD7xBEpqaqAontevsK9nAB/9B/auj9xeahZc+V+gk3GHSGRqSSTEu2lTzDqejRsDgUw888mRykwmEzTsjd2p+ioJZIQQx8V83XV4t2zBt3Nn6EWDgdR77w0KYmAgwW20snB1AJh9IbTUgONImPbMcNanJIiJQQIZkRDNG8fc7aA68cwnRyrrm1P2xW4vnjpCCBGGYjKR9r//i/ryy/SsWIGutRW/omA680zM11+PoaIiuQ0azbD0c7BvA+ru9ZjUbjzoME6aB9POhsz85LY3CkkgIxKinzIF3zFbEUPqTJ0a+Lp/7rh/pKV/rjjeMnKKoLk6eqesxcd9P0IIoZhMmG+4geYzz+Rvf/oTEyZN4rY77hi+Bg0mmL6EQzobz/zrn8yafRrXLbxm+NobZSSQEQkxf+IT9EQLZAyGoPUxJpOJysrKkLnieMuYuih6IKPTy7SSECIpFEXBq9ejncCpHQ1JgDtUMvEmEmI85xyMgwKVIDodKXffje6YXQD9c8WDF7zFW8aEWTApQqCi6PoW+qYm+fhwIYQQpywZkREJS737btTTTsP18sv49u7FryiknnUWpmuuwTBtWvIbXHg12Cbi27MOHEfwA8YJM6FiMeRNSH57QgghTlkSyIikMC1Zgjp/Pv/38MNYrVbuueee4W2w9DRcuZN4uL+9m28a3vaEEEKckmRqSQghhBAjlgQyQgghhBixZGpJCCGEOIZ3+3bML77IbTt2oDtwgF6LBdOll6LLGobNBJof6nYzfv97fHWiF8WzB3a/37exwZwa+/FjnAQyQgghxCCuP/8Z9eWXMQK5AL29uP/+d9SXX+5LhDt5coxnGAK/D9Y9A3W7SQPSTIDmgq1vwt4P+g7Ly8hNXnujkEwtCSGEEEepq1ahvvxy2GtaRwfOH/0ovhPN47V7NdTtDn/N1Qlr/5m8tkYpCWSEEEKIo9wRgph+WksLnnXrgspUVaW2thZVVSOWhauD3wf7PozeoXY72A8N7SbGGJlaEkmxscrLv971sant8+g7wfWci08vMVFm0w9Le0daYfshC4Xzv46iaKzdDTMnQHbasDQnhBgDtJ4e/AcOxKzn27YNliwB4kuEe+edd/L444+HJsHtaoXertgdaz4EtokJ3dtoJoGMSNgfVvTyxJvuo99lgBdeWKPyygaVH9+RypLZxqS2t3EfbD0EYEBvzgRgdy3sPQJLT4PSgqQ2J4QQQbRBX8eTCLeqqip8Elwl3nQEkrYgGplaEglZu9MzKIgJpnrh/r/14OjyJ6292ub+ICaUzw+rtoErfHeEECIqJTUVXRwLeQ2zZwe+7k+ECwQS3B5bVlFREVIHgPTc+FKqFCZxcfEopGiapsWuJkR49/7Ryfrd0Re+3XWlmTsutgS+V1U1JBlkvGWvbYa61uh9On0KzJ2UwE0JIcYsddUqXL/+dcTrSm4uGX/+M4pxYKQ5ntevcHUA2L0Gtr4euUPWYrjkywnf12gmU0siIVsPxl69v/WgL/B1PPPJkcpMJhP29th9iqeOEEKEY1q6FN/+/aivvBJyTcnMJO3++4OCGBhIcButLFwdAKYtho5GqN4aei3dCmdL+pVYJJARCYlnilc3qE4888mRyvrmlJPYeSGECCPlS1/CeNZZdLz4Ip07dqBYLBReeWXfgXjZ2cltTNHBmTdA2Tw6t6zC2ViDISWd/AUXQOkcMJqT294oJGtkREIWVsSOhRdNG6gTz3xypDKAYmvsPo3PG+pdCCFEMMPs2ahf+hJPzprFuxdeiOXGG5MfxAxWOJmGiUv402EDq41TYcpCCWLiJCMyIiE3nWfm3W1eIq20ykxVuGLhwHywyWSisrIyZK443rJZpVDdFLk/ZiNMLUrOvQkhhDj1yYiMSMjcyQb++wZL0PRRv8xUhV99KZV0S/DF/rniwQve4i0rzIHF08PPMJkNcMk8MEl4LoQQY4a85IuEXX+OmQVTDfzrHSfvfFiPyajjUxeXctWZRrLTkx8rzyiBIitsO6iyY68dvV7HmXOKqSgGiyn244UQYihkc++pTUZkRFKU2fTcfaWOxVnPcMn417n9IvOwBDH9stNg/kSV5h2Poda+yJyJEsQIIZJLifvAOnEySSAjhBBCiBFLAhkhhBAiEkWPdqLOffD7MXu9KD5f7LoiQNbICCGEEIP4/bCrFrYfyqP4zPvxa37e3AKnlYEtO/ntad3duF98kfyVK7mruxv/tm30HDiA+VOfQh9HyoSxTgIZIYQQ4ii/H974uD8VytG3SEXH4SaoaYbzZ8PkwiS219WF89vfxn/4MPqjZTq/H8/atXg2biTtgQcwzJ2bvAZHIZlaEkIIIY7aWRM5n5umwfs7wO1JXnvuf/wD/+HD4S+qKj2//jWaTDVFJYGMSBrN7yfV48HkSeJfedQGNdL0GmYledm1hRBj2+666Nd9fthbH1ymqiq1tbWoqhqxLFwdrbcX9Z13oranORx4N2wY2k2MMTK1JBKmeb2oL72E/9VX+VJzMwDd9fWYr70W49lnJ79Bvw+q1pO6dwPfnOIDWuDNZTDtbCiZlfz2hBBjgscLnT2x6zk6B76OJxHunXfeyeOPPx6SBNdvt4PLFbM936FDw/NaOkrIiIxIiObz0fOTn9D7xBNwNIgB8FVV0fOzn9H73HPJbdDvgzX/hK2vo3N1DJS31sHaZ2DXe8ltTwgx6nk8Hvbu3cvKlSvQtNgjvHr9wNfhEuEeW1ZVVRU2Ma5iji+XkmKxDOV2xhwZkREJ8axahXfjxojX3X//O8azz0ZflKQESNVboL4q8vVtb8P4mZApmSOFEJE5nU727t3L3r17OXDgAJ6jU+K508qx5JRHfWxp/sDX/Qlu+0db+hPcDi6rqKhg3bp1IXV0hYXoJk3Cf/Bg5MYUBcNZZyV2s6OcosnZyyIB3V//Or79+6PWMV1zDSmf/3zge1VVQ5JBxlvGG38Ex5Honao4G+Zddvw3JYQYdTRNo7W1laqqKqqqqqitrQ1cUxSF0tJSKioqsBbNZPWeDCK9MeZmwDVnwuBDf+N5/Qr7egaoq1fj+vnPI/bbcPbZpN13X0L3PtrJiIxIiK+mJmYd/6A68cwnRyozmUzQESX1db8O+/HdjBBiVPH7/dTW1gaCl/7pHQCz2cyUKVOoqKhgypQppKSkBK4pBlizq29h72DWjL7EtMdmLuhPcButLFwdANO556I5HH3T815v0DXD6aeTeu+9Q7vpMUgCGZEQJSUFbdAq/LAGze+Gm0/u/zpWWUlJCRhM4IuxK8ogSZeEGKvcbjcHDhwITBu5Bi2mzcrKory8nIqKCsrKytAPXuwyyNQiKMnr253U2gUGHZQVwPi80CAmGcxXX41xyRI6Vqxg16pVGDIzWfCVr2Aojz7FJfpIICMSYly8GHXlyuh1Bq22j2c+OVoZJTNgf+Q1OX11Zh7/DQkhRpzOzk727t1LVVUVhw4dwjfo3JWioqJA8GKz2eJOBGkx9Z3ke6LocnLQX301bx08SG5uLoskiImbBDIiIaarr+47B6G3N+x13fjxGBcvHqhvMlFZWRkyVxxvGeWLoXoreCOMAmXmwfgZybtBIcQpR9M07HZ7YMqooaEhcE2v1wemjMrLy8nMzDyJPR0ao9EIgPeYKSYRnQQyIiH64mLSHnyQnoceQuvoCLqmmzSJtPvvRzEE/5rFM58cqYzMPDj3Vlj3DLidwddyxsE5nwG9/FoLMdr4fD6qq6sDwUtn58BhLikpKYFRl8mTJwctph1J+gMZz4k6VHSUkFd8kTDD7NlkPP443W+9xUfPP4/RYmHhl76EYc6c4WnQNhGu+iadO9exZ+1bpKSlM/uS66FQkqsJMZq4XC727dvH3r172bdvX9CpuP3bmisqKigpKUGnG/nHovWv2ZERmaGRQEYkhWI0oluyhHc//JDs7GwWD1cQ009vwGWrYGXTO5SU5DFbghghhqT/5I2gAzjClRGuXvBzHPucwXViPVdwWXtbG/v27WP/gQPU1tYOPKcG48eXMHnyZKZMmYLVag200dMxaGo7XLv9bRCm7Jh64Q4kMZoNmNNNGIzhFwcni6IoGAwGPB4PmqbFvZ5nrJNARiSNoihoPtBO0IcJn9eH5lHQVAVn+6BjvgOvezFeVIfw4hZSRqQX7dBXweN7o4jy5hH2vsKUhelEyIt2zDphnp8wZcf5phX7+WK3e3z/pv3/i/dnGefvUlIDgGT9LkV+vlNFe1sbjUdPxO3q6gqU6/Up5OfnU2izUdC/Vs4F9u3t2Gk/4f00WgzkTcjGNjkPg2l4ghqj0YjX68Xv90fcVSWCSSAjEuL1+GiubsNR10FXWzc0WFA7FLas3ENKhoXsogzyS3PQ6ZMz7Nvb7aZxXwvdDhf2I3awm3H5/Ox+L8rJmEKIU4rP56OlpQV7YyP2Jjtu98CUkdlsprCwEJvNRl5e3ik1ZeTp9dKwt4Wmgw4Ky/MZNzX5J4gbjq4p9Hg8EsjESQIZcdwa9rXQuK8Fn6dvq6P/6OlRmgZe1UdXq5OuVif2/a0Uz7CROz7ruNvyuL0c2WWntbYj8MnS7+/7vwy+CnHqc7vd2O12mux2mpub8fkHTpvLzMzEZrNhs9nIzs4+eZ2Mk8/r58guO163l5JZhUl9btm5NHQSyIgh0zSNw1sbaDncFlQeaT5XdXk4tLkO1eU5rk8wHreXvWurcXW5Q/oBoJxCn9iEEAO6u7tpbGzEbrfT1jbweqEoCnl5edhsNgoLC4NO1R1J7AdaAZIazAwekRHxkUBGDFn1x/W01rYP+XFHdtnR6RRsk3PjfozH7WXvusMhQQyAdvQTnSyIE+LUoGla4CTuxsZGenp6AtcMBgO2ggJshYUU5OdjODrycCoztxzB0lSLptPRUzwVb0ZOSB37gVZyJ2STmpmEDNUeN9NSVEqz/ega90P2AlDkg1osEsiIIelo6o4YxHSrOpp0E7BoBnq9ChZD6OLC2h2NZBakk5IRX/r6+j3NuDrDH7Zn6WxhYq+DNKcBNL/8wQtxEni9XpqbmrA3NWG324NGElJTU7DZCik8eqL3SBk9NXS2Uvjus6Q0HQ6UaYpCd9lsms69Dr8pOGip39PElIUTEmt057uwew0XWNxgAba+DPveh9OvhKKKxJ57lJPs1yJumqax+/2D9LQHBxY9HoVn92bzUVMqPq1vdMSi97O4yMnVkzswHPPalVuSzcT5xTHbc/d42PH2PjR/8K+ouaWO/HWvBL3IeDKstM6/iK6p84/z7oQQ8XK5XNiP7jJqaWkJ2hGVnZ3dN2Vks5Exgk7V7ad3dVOy/LcYnR1hr7sKy6j7xJdCPjjNumgqlrTjPIhv+yrY+U74a4oOzv8s2CYd33OPATIiI+LW2ewMCWLcPoVHPs6ntjv4D7jXp2NVbQbNLgOVs1uDEq056joompaPOTX6H33TwdaQIMbUWs/4V/+EzhOcosDY5aDwvWfReVU6pp95HHcnhIimo6ODxsZGmux2OgadqqvT6fq2SBcWYisowGxJwhTLSZS1a33EIAYgpbGatJo9OEsHUqH4fD4OVh1iyqyJgVOFVVUNSbESrgx3D+xZE7lDmh+2vy2BTBQSyIi4BR06ddT6+tSQIGaw7S0p7GkzM906sMZF0zScba6YgYyzzRVSlrfxtZAgZrDcja/ROXU+mmTAFkMwcOha8Dk0g0ca4qlz0usl8bn8fn9gi7QrTC41g8FAYWEhebm5gW3CrUcz1kdr95T8uQ2qt3T3hyH3eqyM/VsCgYzP5+P999/HubaD3LJMKisrAVi2bFkg6W2kMpPJBHW7wBdjYW9LDXS3QXroGh0hgYwYgnBrVdY3pMV83Pr6tKBAxufzUXOwlvT8lIifVFRVpf5wA2mp6YEXSb2zg9S6fVHb0qu99HywivrCqcCp8WIZqc6p0r9k14td55hD205WPZEQr9dLXV0ddXV1J7srSXWxuydmHX1vd+Drzs5OnE4npBFY6Ax9X/f/P1JZSUlJaM64SNxOCWQikEBGxM3dHToS0u6OfWBT26A6gU8vdLJ6S0bYTyp33nknj/31cRw7ekhLS2PJkiXo9XoMPZ0oxH4X6qw9xO42OYNhLBqYwlSOfq/0/ddfpigR6w18R9R68dQJ/1zBu+tOlXrOnp6g03TDyc7OJi0tLeJznQr3kYx6CuDp3oWl20E03kEBRWZmJmlpaTgN7VitVmw2G9CXC6r/NS1aGanZUdsK9Dn1+M/hGu0kkBFx8/tDg4h0k59uT/RgJtPkC3wd+PSSGvmTSlVVFW3tDtCZcTqddHZ2kpOTg8+SHlc/M4pKqCgs7/smmS+Cp+ALb6x6Y6lvIj6aptHe3h4436W7e2B0Qa/XU1BQgM1mo6CgYMRmkU5Eb/diMjasiFqno+KMwNd6vZ4lS5aQOdHM5JkDa2QqKytD1sOEK2P8DDClgBo6lR4wrhxSMhK7sVFMAhkRt2MX3gIsKuzhpQPRPyksKhwYqg18eqEz4ieViooK1q1bR2tTN2nGdDKP7nzwZuTQUziR1MZDEdvyG0ykn3kRU00je8GhEMnk8/lobm4O7DQanEXaYrEEDqbLzc09pVICnAwdFQvJ2P8xlpYjYa93Tp5Lb2FZUJnBaGDy9EmYTANn45hMpr6po0HClWEwwtzL4MN/h++Q0QKnXTzk+xhLZPu1iNv2t/bhdgZPL/V4FH6+qYBmV/jDraZku/navGZ0gz48+3w+dBl+5pw3I+oama3v7cLfpQvKN2JprKb4P39G5/cd2xQALadfStvcCxK8UyFGPndvL/amJhobG2lpacE/KCVAVmYmBUeDl6wsmbI4lk7tJW/DCjIObEV3dCGuz5xK+4yzcMy7EI4J9vLLciidU5RYozU7YMcq6GwG+lZ0KbbJMO8yyE5uGoTRRgIZEbdtb+xFdYWurm936/jHbit7HGa0oxMAOkVjQUEPN1W0hz0Yr2CilQmnjYvaXm+3m52rDoQsOE05so+CdS9h6mgJlPnMqTjmnE/7aUuO59aEGBW6OjsDWaTb29sD5YqikJebi+1oMsaRmhLgRPN1d7D99VcwWizMuuwaNH3oJIaiU5h14VTMqck5qfjd5f+kZt8eFl14ORXz5SiJeMjUkohbpJg32+zn7rktVLeovLbxMGmpFj55ZinZZn/Y+tD3xx+LJd1MbkkWLTXtQeWu4qkcvuEbpDQewtjZis+cQs/4CjTDqX/kuRDJpPn9OByOvvUuTXZ6egbWWRiNRgoKCii02cgfISkBTjV+cyp15mxSLCnMDBPEAEyYXZi0IAagU5fGoR4d803xrQkUEsiIIQi3RmawPIvKeF8V2fpsss0lUevGu1CzaFoBXS09uHuO2TGlKLjGTcI1Tg6JEmOL1+OhqbkZe2Mj9qamoCzJgZQAhYVYc3JGTEqAkWrCaePIL7Oe7G6MeRLIiLjFmoTsn4OPZ7FgvGmRTClGys8uY+/a6tBgRogxwuVyBXYZtba2Bo2O5uTkYLPZsNlsZGTIzpYTwZJupnhGATnjRl4KhtFIAhkRt1gjMv0vrvGMtgxl66w5tS+YqdnWQIc9+nkXQowW7e3tgV1GnYNSAuh1OvKObpG22WyYzfElYBWJMaUYsaSbsI7Pxjo+C10c0+PixJBARsQt1rpwrX9EJp5AZogvAuZUI1PPnEB3Ww8NVS0423rwquF3LolBgaIyuCzwVWhZyOFusZ4rtOLxthlcNuixRGk3Sr2wzx/aofBtxn1f4epFaSPs/Qc/n8/no6Ghnurqw9TW1tDjGljvklKQwoQJEygtLaV4fDEGgyGO+wp3/zHuK+zPfKj3lYzfpShtHs+/a9y/S8FP4nb38voWNyarmdMuKQ+9IXFKkEBGxC3WiIy/f0Qmnqml4zzMLD0nlalnTgDA4/bS2632BVAn8MUt+PmOfdFO1htltOcLLZPD4UYmp9PJvn37qKqq4sCBA3g8R3cFmqCgOJ/y8nIqKiooLi4e8+e7nBQGP4pRi3sqXJwcEsiIuMSzS384R2TCMZoNGM3yKyxGlpaWFqqqqqiqqqK2tjZQrigKZWVlgeDFapVFpCeT1tuL7+23uai6GoPZjGf9egwLF6LoY6dlOW6OemaqNZQU+shv2gk9EyBV1uHEIu8CIi6xRmPgxIzICDHS+P1+amtrqaqqYu/evbS2tgaumUwmpkyZQkVFBVOnTpXzXU4R3q1b6XnoIbSuLmYdLev5yU/QFReT+uCD6IsSPPwupEEPrH8OjuxmMkAW0LQDXtkFs5fCjPOS294oI4GMiEvyR2QS7pIQpyxVVTlw4EAgeHENWu+SmZlJRUUFFRUVlJaWBta7iFOD78gRnD/8IbjdIdf8R47gfOABMn7/e5RkLrLeuByO7A4t1/yw7S2wZMCk+clrb5SRvyARFy3y2XYBQxqRkRX/YpTp7Oxk7969VFVVcejQIXy+gcXo48aNo7y8nGnTpmGz2WRE8hSmvvxy2CCmn9bUhOf99zFdPJD/6NgUK0Mpo7sNarZH79Tu1RLIRCGBjIjLUEZkkr39WohTkaZp2O32wKhLfX194Jper2fKlCmUl5dTXl4u+YxGEM+GDbHrrF8fCGRUVWXZsmWBpLeVlZUAcZWZTCY4sif2IV1dLdBhhyxbYjc3SkkgI+IylDUyce2ukEBGjEA+n4/q6upA8NLR0RG4lpKSwtSpU6moqGDy5MlyvssIpUUZjQlXx26343A4AHA4HNjt9sDXscpKSkrAF+dBn97QPHeijwQyIi7JH5FJuEtCnBAul4v9+/dTVVXF/v37cQ96E7NarYH1LiUlJbJFehTQl5Xh27kzZp1+NpsNq9UaGGmx2fpGTeItiyuztd4IGbnHdT9jgQQyIi7JHpGRNTLiVNbW1hbYIn348OGgQL6kpCSwRTovL0+mSUcZ0+WX44oWyCgKpssvH6hvMlFZWRmy9iXeMsZNhbRscLZHbnPCbDDJjrZIJJARcYknkJE1MmKk0jSNI0eOBKaMmpqaAteMRiOTJ08OrHdJS0s7iT0Vw824ZAneDz/E8/77Ya9bPvtZ9OPHB5WZTKa+aaLjKEPRwaLr4f2/gzfMNFNGHsy5ZOg3MoZIICPiEsfM0sCupRN0IJ4QifB4PBw6dIg9e/awd+9enE5n4Fp6enpg1GXixIkYjcaT2FNxIimKQso3voF+xgzcK1ag1dUBoJ85E/O112JctCj5jRaUwUVfgt3v4zu8HT0aXr0ZQ/lCmHYOmFOT3+YoIoGMiMuQzpGRqSVxiuru7g5KCeD1egPXCgoKAutdioqKZNRwDFN0Osyf+AT+pUv59U9/SkZWFvd84xvD22i2Dc76FP9pMrJz2xauvOZqZs2ePbxtjhISyIi4RAtkfOhoNeTQPXk84yZfQK9fpVXfS46vAx3hHydvEuJE0DQtKCVA3dFP19D3Ozhx4sTAyEtOTs5J7Kk4VXn0enzDmZbgGJqiw+1XZEfEEEggI+IS6UA8FQP7zWWoOjMYQQ/4gVrA4ctmklqDntAHy8m+Yrj4/X5qamoC6136t7wCmM1mpk6dSnl5OVOmTJGUAEKMAhLIiLhEGpGpMRX3BTFhOPVp1BttlHgaQq7JiIxIJrfbHZQSoLe3N3AtKysrKCWA/gR+uhZCDD8JZERcwu1acilmuvXpUR/Xps9mnMeO4ZhRGVkjIxLV2dkZmDKqrq4OSglQVFQUCF4KCgokcBZiFJNARsQlXCDj1MVeSe9XdLh0FjL8PUHl8sYihkrTNBobGwOjLg0NAyN9er0+MGVUXl5OZmbmSeypEOJEkkBGDDsJWcTx8nq9QSkBOjs7A9dSU1MDgcvkyZMHDhgTQowpEsiIuISbCsrwd/cdMBNldEWv+Uj1u0LK49nOLcYml8sV2CK9f/9+VHXgkLDc3NzAlNH48eMlJYAYNo4u2H7ISP5pleh1sGk/TB8PaZbhac/l1li5SeWfm+fQ1jWDhjfSuFXxcPYMg4xgx6Bo8o4i4tDZ4mTv2uqQ8kOmEjr0kYfxCzwtFHntIeXTz5tEWrbsGBF9HA5HYL1LTU1NINBVFIWSkhIqKiooLy8nLy/vJPdUjAU7a2D9ntByox4umgvFSU571NTu557fO6m2h+7wXDrXwA9vT8Wgl2AmEhmREXGJ9ImgRD2Cx2ygJ8x6mUxfJ+PCBDEgIzJjnaZp1NXVBaaMmpubA9eMRiNTpkwJTBulpsqppuLEaWwLH8QAeHzw1ha48VywJHEm84Ene8IGMQCrtniZXOjmC5cP01DQKCCBjIhLpHNfDPiZ6j5Euz6TOrcJl8dHik6jNMVLhr874vqYSOfSiNHL4/Fw8ODBQPAyOCVARkZGUEoAg0FemsTJsbMm+nWPD6qOwJyJA2WqqoYkg4y3bHetjy0HfCHtDPbCWpU7LjHLqEwE8moh4hJtjlYBcnydtNce4vDOnUydOpXMioqozycjMmNDd3c3e/fupaqqioMHDwalBLDZbIH1LuPGjZN1AOKUUO+Ir05/IKOqKsuWLcPhcGC1WqmsrASIq8xkMrFprzdSMwGOLo0DDX4qxssZSOFIICPiEs+5L/1vRP05l6LRfDIkc6rz+zX21PpwqVBm05GbGXthraZpNDc3B0ZdBqcE0Ol0TJo0KbDeJTs7exh7L8SJYbfbA6dHOxwO7HZ74OtYZSGZsKOQz36RSSAj4hLPp+X+HST+eBJMyh/lkPk7O/Fu2oTmcqEvLcUwa9awtbV8ncrf3uqlvrXvH0qvgyWzDXz92hRsOcEBjc/nC0oJ0NbWFrhmsViCUgJYLDLPL05thTlwuCl2nX42mw2r1RoYabHZbABxl82bHHuUJTtNYdI42aEXiQQyIi5JH5EJc8CeCE/z+eh97DHU116DQVuRdSUlpHztaxhiTOMN1eNv9PLHV91BZT4/vLPVy67D3fz1v9LJMKuBlAD79u0LSgmQnZ0dmDKaMGGCpAQQI8rMCdEDGYMOKooHvjeZTFRWVoasfYm3bFaZgZmlenYejrxO5prFJkwGmXqNRLZfi7i4ezxsf3Nv1DpHjhzh448/prS0lNkx0s9POn081uKsZHZx1Op55BE8b74Z/mJKCum/+AX60tKktNXS4efqH3ThjbL2cHb+IUq1V/APCliLi4sDwUt+fr6sdxEj2tZDsHFfaLleBxfOgQn5yW2vvtXPV37XHRgBHezsGQYe+nwqRglkIpIRGRGXeLJVy4hM8vmOHMHz1luRK7hcuJ99ltT//u+g4mN3R8S7g+I/Gz1RgxiA3c1FlOYbKC8vC6x3SU+PnnNLiJFkzkQYlwPbq73sO9yBTqdwWrmVGSWQOQynARTl6vj7f2fwygaVZ95uosPpp2ychVsvtnL+HAN6yU0XlQQyIi7xnKA6tDUyEsjEw/POOzEXFHnWrUNzu1HMfVnIj91Fceedd/L444/HtYOiwRE7CPVi5ot3fYPCXEkJIEavgmxYXOFhzUuPkpWVxZmfvHdY20tPUbj5AjNpXR/z8ccfc/0V1zNrlm1Y2xwtZPWQiEs8IzI6GZFJOm1QbqGIvF60noGknMfuoqiqqgrZLRFpp0VWWuxPfgY9ZGcYh3orQggxLCSQEXGJZ82DMpQRGdl9HRclP47J+JQUlEFTO/27KKBvl0RFRUXQ9zabLaRO/w6Ky083RkudBcAFc4xYTDLULUSyeD0+7Adbqd5ST/s+F1qjmYbtDmq2N+A40iEj2DHI1JKISzy7loY0IiN/mDH5/X42p6YyXVHQR/l5mc4/H8U4MEISbhdFvDsoSm16rjjDyKsfesK2lWKCOy42J/EuhRi7fF4fTQcdNO5vxefpW5zmdfrAq+Bqd9N00EHTQQeWdDNF0/LJKcqUhfRhSCAj4pL8ERkJZKJpaWlh+fLlHDlyhK5x4zirvj5sPSU3F/ONN4aUm0ymoMO2jv0+UhnAd25KIdWs8NJ6FXXQoaMTCnQ8cEsKU4pkO7UQifK4vexddxhXZ2/Mur3dbg5uqiNvQjalc4skmDmGBDIibopOiRqAyIhM4jRN48MPP+Stt97C6/WSl5fHaV/8IpYtW3A//zza0eSKmk6H8YwzSPnSl9DlJjcVr0Gv8M0bUvj8ZWZ+8efVNDS18akrF3L5YkkjIEQyDCWIGaylph1AgpljSCAj4qYoChqRAxAZkUlMR0cHL730EocOHQJg0aJFXHjhhRiNRigqwnTppbz629/SVFvLJXfcwfgYZ/UkKiddx4z8WsydB5g9YYG8cIoxSdOUpJ9EfnhLffQgJsruipaadlKyLNgmJfcDzEgmgYyIm06v4I9yxoiMyBwfTdPYtm0bK1euxO12k5WVxdVXX83EiROD6il6Pe15edR2dKBJniIhho2mafxno4dn3vNQ1fY1lDY/h//o5JYLzCysSOxts7uth/bGrpByt2KiyZCL/4xyxp9ppMXbi07rJN/bip7g19TGvS3kTchBb5D9OiCBjBiCWJ/IFZ0ODybc/thrKGTXUh+n08mrr77K7t27AZg7dy6XXnqp5CQS4iT68T9dvPLBwIJ3DR3rd3vZsMfLN66z8Kklx7/gvWFPc0iZU0nhgLkUvzLw2uk3WGjEQrs+kynuQxgGBTMet5fmageFU/KOux+jiQQyIm6Rdi75NVhzJI13a/Oxp04DD2ze5ObCCd3MK3CFfYyMyEBVVRWvvPIKTqeT1NRUPvnJTzJt2rSI9b0eH35VQ/MoeN1eNE2T6R4hkmzVFk9QEDOYpsGvXuzlzOkGSvKHvujd79fobHEGPydw2FQcFMQM1quz0GC0UeJpCCrvbHZKIHOUBDIibuHeNDUNntyVw0Z7WlD5oU4zf9lh5sqJHVw+MXQYdSyvkXG73bz22mts2bIFgGnTpnHllVeSlpYWUlfTNDrs3TQfctDR1E3Xfg80m9m/5gidB1TySnPIL83BlCIH1AmRDC+scUe97tfg3+tUvnp1SqAs3hQg3e1OHK0OMjMzA8lUu3RpqLroIzxt+iyKPPagKaberuj9HEskkBFxC7f+7OPmlJAgZrAVh7I4Ld9Fcbo3qHysjshUV1ezfPlyOjo6MJvNXHbZZcyZMydskNjW0Ent9kZUV/hPh55eLw1VzTTubSGnKJMJc8ZhMMrWaCESUVUXI9kYsHdQnWNTgkRKAQLw2J8ep/1AD2lpaSxZsgS9Xo9LlxK2jcH8ih63YiJVG1ggrLo8+Lx+WSeDBDJiCMK92a6uixzE9FtzJJ0bK9qDyvy+sRXIeL1e3n77bTZs2ABAWVkZV199NdkRFu3aD7ZSt8MeV8CnaRqOIx24utxMPWsCJouMzghxvExGBVzR/+4GZ6KOlO4jXFl7Wztgwul00tnZSU5ODkqcCwaVMDtG/T4JZEACGTEE4dbI1Dtjv2ke6Q6tM5ZGZOrr61m+fDnNzc0YDAYuvPBCFi1aFHF9S2tdB7XbG4fcjquzl/0baqg4pwy9QUZmhDge584ysnydGrXOktkDr2n96T76R1/6032EK8vOyqbd0Tcik5mZCUCWv4t6rZBouUFMfjcWTaaSIpFARiTEpNcg/MxHcJ1jjIVFqn6/n9WrV/P+++/j9/spKirimmuuIT9K/iSP28vhLUfCX/R5sXU3k9Hbirm7DXJyQqr0dPRSv6eZklmFid+Az4tNcaJP86N3xZG8UohR4MbzTKzcqOKO8LqWn6Vw2YLoKUEgfAqQm26+ie3vVQWtkTFrHrL8nXTosyL2qcDbyuh/xTx+EsiIuIVboDsn38U7tRlRHzc3P/zOpdFscIoBRVE477zzOPfccwMvXhEfV9Medtote9v75Gx/n6mubgC013fTUzyV5sVX48kK3rnQWttO0bSCxIac96yFPWu4WN8N40H76F9wZDKc/knIkIO4xOg1qVDPT+9M5f6/9dBzzCBIYY7Cr7+cRoo5OKyINwWI0WgiJ8wHkAlqPdUmPV369OALmobN20Ker+34b2gMkEBGxC3cbND547tZX59Gry/8m2aO2csZhT0h5fEkoRyJwqUYuPbaaykqKorrsS3VoS9YuRtfw7r13aAyBUg7sg/zij9Se9VX8GYMvDh6VR9t9R3kTQh9wYzL1jdh9/sh7WE/AG//BS6uhLTs43tuIUaAs2caefn7mby0zsnzr+/CbNTzuetms3SuMWh9TLLo8TNZPUy3LpX97V56VC956RZKUzyYtRhD3gJZJSTiFm5dS16Kj7vmtJBuDF3pX5Di4Z55LZjHyNRSR0cHf//733nttdfwer0sWrSIL33pS3EFMQBdLU7cPcFz8wZnBznb3o/wCDC4urFueSekvOVw+5D6HtDTAXvWRL7e2w073zu+5xZiBMlIVbj+bD3z0ldyVsFqLj3dNCxBzGDp/h50hzbi2PAy6Y79EsTESUZkRPwirM+dkq3yo8UNrK8zsK7Kgclo4MJZVmbn9RJp4GU0xTHxphiIxe0MXWCYsXdzzF0NGQe20Lz4KjT9wJ9zT2cPtbW1gfn5eM+54NDHsY9drtkGCz4Benn5EEKcfPJKJOIWbaeRUQ+n53fSuf19Mi2ZzMlfEv3JRkkgk8wUAz5vaABhcHbEfJzOq6Jzu/Cl9q1V8vl8vPPu+/RsasVqtXLnnXfy+OOPxzznwmQyQTyLer0qqC5Iib42SgghTgQJZETcYm2Z7r8ez7TRaJhaGmqKgVh0+tCZ3v7gJBq/3oDfNBA4dXZ24uzpRsnuO8OiqqoqrnMuSkpKwJIe8vyhHTWAUXJBCSFODbJGRsQvxtEvYyWQcbvdvPTSS/zrX//C6XQybdo0/t//+38JBTEA5tTQ83Y6p8xDizF81T1xNpph4LGZmZmkZ/cdVGi1WqmoqMBqtQa+t9lsgbMvBpcBUDaXmMNlE2aCQQ7dE0KcGmRERsQtmSMyI3VqaSgpBoYqIz8dU4oxKCWBNzOXjumLyN69IexjfCYLjrlLg8r0ej03f/7T+FPUwPqXeM+5IN0KU86A/R+G76TRAjPOS/hehRAiWSSQEXGLdRjvkEZkRtj266GmGDgeOp1C3oRs6quag8qbF1+F32Qhe9c6dJ6BBcG9ucXYl1yPJzv4gD29QUfhpLyg033jPecC6FvIa7TAvg1962H65RTBwmsgM/KBfkKMJj1ujXavDZ87Da9Pw6Af/tctzZKByVqET28a9rZGCwlkRNxiZaweUiCTlB6dGENNMZCIvLIcGva1BP+sFR2tZ1xG25zzaVrzBp0tzRSctoD0aXPDPod1fHZiKQoUHcy5GGacy/vPPo6jqZGzLr0K24wFx/+cQowgPW6NP6zoZcUHHnrcN0MnfPSDLm48z8ytS03D8rffoUun0ViANncmBfD/2Xvv8LbOM0/7PgcdIMFexU5RoirVi2XLvRe5xCV2nETJZJxkZrKbmf0yMztlr+zMZqftN22/STyTiZLYckux5bjFsmxJlq1eqE5KIin2ThBEL+d8f0AACQIgQBLs574uXSJfvMR7ABLn/M7zPs/voU+W8Eo2Cr1d6OWxWyYsdBQhozAO4ggZKVB1I86TiMxEWgxMFq1eQ/GKfJrPdUQej1ZPe1YpzQ4RvTmXaGm5+hQthdVJOj6NnmY5lWvWbtan5ibnORUUZjlur8x/+aGds43h3lg9gzL/920XLT1+/vszxqSuOaAyc11TFO5LIYhYVWbsopEqd6MiZsZAETIKCRN3a+nG/4KYQA75LE/2nWiLgWSQW5GJz+OL2GKC4fc2Wr6Szqhl8ZZSNDrlY62gMFF+c8QTIWJGsuewl0e2+FhZlpzPmYRAq6Yg5jnRL6jp0ORR7mlJynrzEeWMp5AwiW4tJcJs1TGTaTGQTAqrc9EYNLRd7MLnGT6pBqNdkhTuOWPOTaF83SJFxCgoTJK3j8SPfOw57AkTMokaTnq9HgYGBsKaRg6qUvELY39uB8VUvKjQEFtgLWSUs55CQiQiUsa1tTQLlczg4CB79uyhsbERgM2bN3PnnXei0cxMqXFOaQZZRWn0t1npaerHPuAMi8io1CKZRenklmdgMCu+LgoKyaCtL46z9ag5Ho8nwlwSIg0nAV579TUsjQ5MJhPbt29HpVLhERJI6hUEPIIWjbzwGvAmgiJkFBIikWCLFEz2TWhraZIHlESS1WJgKhBVItkl6WSXpON2eOmhhYYhN7kr01h9y9LJdbhWUFCIwGwUsDnHPuGZjcMnsK6uroQMJwEsgxZAi91ux2q1kpGRgUpOLMqixjfOV7JwUISMQkLE21aCuWmIl8wWA1ONzqhBl6pF0MmoDaIiYhQUpoB712vZ9aF7zDn3rR+OogTNJYPRl6C5ZLSx9LR0LP2BiIzZbA6M+a20yfnIQuzPs1FyKA0kx0ARMgoJkkBIJihkEni22aBjkt1iYDoI7qv7/cpeuYLCVPDkLVrePuKhzxr9nLeiVMUtq4YvneMxnHzmi89w7kBdWI6MGj85vj66NTGqDWWZfG9k4r/CMIqQUUiIZG8tJaP82mX34LA48fskBEFAo1ORmm2K2rNoJG63mw8++IAzZ84AsHTpUh5++GFMJtOkj2mqEW+8t6OTfRUUFJJDllnk337fxF/8zEF9W/jn7OYVav7yOQOqUeevRA0nNRotGRkZEWsW+LoB6FFnhUVm1LKXIk8nZsk2qdc031GEjEJCJHtraaJJMrIsM9hlo7uxH2t35IdbrVWRVZxOTnkmelNkEt1UthiYDjx+NTZ/BlaHsq2koDBVlOWpeOl7qRy7ZOf/+9nHGAw6/vSbd1KaNzX2CwJQ6Osm19fHhY5BBmwOSnIzKU9Tz6Z0wlmLImQUkoY8nq2lCURkXDY3V48247LFLo/0efx0Xeuj61ofuRWZFK/MRxCEaWkxMJV09ku8+J6Lvaeq8fqX8+l7Mh9ctfP1+3SsqVQ+xgoKU8GqMpEKwynS0tIozbtnytdT40fovoatpQW9aR1C2vTaPsxVlDOgQkKMKyKTyNbSOHWM3eLkyuHrYZ4q8ehu6Mfr8qEvFNmzZ8+0tBiYCtr7JL7xTzZ6rTLBhvUyAsfqfZy65uPvvm5k2wqlG7WCwlQgSyC5AzdJau3UG2IqjB9FyCgkRCI5MuPbWkoct8PL1aPN4xIxweM5tv8EVzouI6d5pqXFwFTwr287b4iYSHx++N+vO3nrf6inpaGdgsJCYKjXTufVPizdg9Cux2sQOfP+ZTQ6NcZ0A/mLs0jNnv05dQsFRcgoJEQ8QzwfKhxpxaStSkMy6uK6UI5na6mjrhuvK9JDwSfBmW4DbXYNGlGmJsfJopTAPJvNxpkzZ7BYLAiCyE13beOOe2+flhYDyaR/SOLA2bH9I3oGZT676OPWVUpURkFhMjiH3LSc68DaYwfA5w0/h3ndPga7hhjsGsKcY6J4VQGGVN1MHKrCCBQho5AYYwiZLnU2neocZINIai5IwEVZItfXF8rGH02iURuf109/mzVi/FKfjp9dzGTIOyxM3m1MY2WWk9tTTtNYdx6/JJGSksLatWtZvKhszokYCDiI+hMoUGrs8CpCRkFhEjisLuo/a0o48mvtsVN3qJEl28owKs7aM4oiZBQSIpaO6VFl0qHJi5wviHRpchCRyPP1TnjdvmYL0qgrecuQhhfPZeOVIsXQ+T4DHd0lbJLOUl5eTnV1NSqVir6WQRYtz0OtmVtixqRPTPAdOvBbVF02KioqqKysJC8vb87kACkozDTOIfe4REwQn8dP/WdNLL25XInMzCCKkFFIiGhbSzLQpcke8+e61Vnk+PoQRxjq+f1+Ojs7MGbqxmyw5vF4qK+9hhZ9WDTlw+upUUVMkD5VEYWr7mRFqSE0JvklBjuHyCpOT+Tlzhoq8lUsLhC52hE7LCMKfgp0DTQ02GhoaOCjjz7CaDRSUVEREjZBF1EFBYVIWs51RBUxTtGAqWINGo0aj6BBG8Vd1+fx03KugyU3lU36OFw+gSvuQjrVZsy2NPJlSILl1rxHETIKiRElImMTTfiEsbcz/IKaITGFNGko8L3fz8GDB7EfHyCrMH3MBmsvvvgifRfsmPQpoQZrfglqewwx1wty1Z3POgbDxrzuudmr5Gv36fnvuxwxH//CLQb+4OE/4Pr16zQ0NNDQ0EB3dzfnz5/n/PnzAGRnZ4dETVlZWUgsKigsdIZ67aGcmCBuQUOzpgi7ykjG+qUAXJRl0v1Wir3tqAi/sbD22BnqtU8qAfj9xlQ+ak7F5V8EWrjYCnt7fTy9xMLKbNeEn3choAgZhYSIFpHxk5gpm3+EU6XVasVut4MhfoO1/v5+kHVhDdY8koBfjn+L0mdx4LDbMY5w65X8CZRezULuXKPhT5828M9vOXGMaAGjEuHRrVr+y6N61CqBqqoqqqqqABgaGgqJmmvXrtHb20tvby/Hjh1DFEWKi4tDEZvCwsKQY7CCwkKj82pf2Pc+VFzVluEVR4l9QcCiTsMrqFnsaYrwy+q82jdhIfNug5n3miKjpv0uNS+ey+IP1vSyJGPs/k8LGUXIKCREtCojvZzYB0snDRvYmc1mTCYTdjxxG6xlZmbS12nHZBhusKZXyaRp/Qx6xs518fQ38fEnpzEajeTk5JCTk0PeksyEjnc28uhNWu5ep2HvKS9tvRJmk8A96zTkZUQXIKmpqdTU1FBTU4Msy3R3d3Pt2jUaGhq4fv166N8nn3yCXq+nvLw8FLGJZqGuoDBfcVicYd/3qDMjRcwI7CoTVjGFtBFtA/x+Py0NrZSuyx9zu9zr9TAwMBDWa8nuFdjbnBJzPUkW+E2DmT9ar/RbioUgx6urVVAAnFYXFz65FjF+RVuGXRX7LsQgOVnqbggb8/v9mCv0VC4vi5sjc3LvOUS3JixHJtbdSxARiecyPsbe14rTNRySFXK8FC8upLKyksrKygUbifD5fLS0tISETUdHR9jjGRkZIVHz2Wef0dbWxte+9rWIvjEKCnMdn8fPmfcvh41d1C3GI46duJvuG6TM2wqM2C6328lcYeSb3469Xf5v//AilsZA9+vgdvlnbSZeqYt/8/D9rR1kG8LzeGruW4pGp8QjlHdAITFiVMAUeTu4KpbjFyIjJKLsp8jTETGuUqkoyC8Iy9OI1XRt+YYlXDnSHDZ+Z8kQ5/r0tAxFv2t6vMrKluJqoBqbzUZPTw/91j761G20tLTQ0tLC/v37Q5GIoLCZK+0KJotaraa8vJzy8nIA7HY7jY2NIWEzMDDAyZMnOXnyZOhnPvnkE2699VaKiormZBm7gkI03PbIdic+If5l0TfifBfaLgf6ewbG3C63DFoAbdh2uc2b2M2UzStGCBmFAIqQUUiIWAZ2BtlNlbuBTnUuFlUqCCLIEmmSjXxvN4YY20+JBgLT8lLRmbRhJxy9Wua/rO3hvUYzRzpMOHyBE0FJqod7S62syR2OwqSkpJCSksL2lVvJLksPi0S0t7dz6dIlLl26BAS2soKipqysDJ1uYZRTmkwmVq5cycqVK5Flmb6+vtB7VF9fD0BjYyONjY1otVrKyspCEZusrCylzFthzhLtPKSVvbii3JiNnhMktF1ut5ORnjHmdnl6WjqW/kBEJrhdnqGPX4QgIJOhU0RMLJStJYWEcDs8nNt7Zcw5zW0dXLzSSFFeNiuXLRlzbuXGYjIKEysJ7mroo+VcZ9THvH7od6vRijIZ+ugfdJVGxaq7qyI8ZBwORygZ9tq1awwNDYUeE0WRoqKikLApKChYkNtQP//5z2lsbKSiogKPx0NbW1vYyd9sNodETXl5OSaTYtuuMHew9Tu4/Glj2FiPKpM2bcGYP7fY3UiKNFxJ6Pf7sVqtrL9vJZn56UD07fLOxh7OHagLy5Hx+OHPPisM3ZBFY2WWk2/V9EWMK1tLAZR3QCFB4t91i7Ifn60fOSs17tzx6Ofc8kxsfQ4G2iMdfjUqyDPGvqMRRIGKDUVRjfCMRmNYJKK3tzckapqammhubqa5uTmUEBu8YFdWVpKWlpbw8c9lguLttttuo7i4GJfLFbENdebMGc6cOQNAfn4+lZWVVFRUUFJSglqtnGIU5haZ/gH6pXScYnSbhwyfJUzEQGC7PCMjI+52uUajjUim16rg8cUWXr4cvRjBoJbYUTkY9TGFAMpZRiEhhASCEcEthkREynjigIIgUL5uEbIsY+kYiv8DNxBVAuXrikjLjV0RMHKNYHXTli1bwhJir127RmdnJxcvXuTixYsAZGVlhW1DLRRfFr1ez7Jly1i2bBkAAwMDoahWY2MjnZ2ddHZ28tlnn6FWqyktLQ0JwNzcXGUbSmHWo0JmsbuJNk0+A6o05BsnP5XsI9vXT74v+dVDWwsd6NQy7zaY6XQEvblkqjPcPF5loTBlbnpgTReKkFFIiEQuQOI4hMy4lAwgqkQqNxbTeaWX7sb+qE0kR5KabWLRslxSMo3jWifIyITYu+66C7vdHrYN1dfXR19fX5gvy8htqIVywc7IyGD9+vWsX78eSZLo6OgIRWtGCsG9e/diMplCoqaiooLU1PiROwWFmUCFRIm3nRxHK4dOnUOr1XLL2uVhDuXJZl2uk3W5Tj4+2Uhzl4VNy4tZXja2c7pCAEXIKCREIhdm4cY2RLIjMiOPoWBJDnmLs7F0WOlpGsAx6MLv9SOIAmqtiowCMznlmUnve2IymVi1ahWrVq1ClmV6enq4evVqhC/Lxx9/jMFgCF2sF1J7AFEUWbRoEYsWLWL79u14PB6amprCTPnOnTvHuXPnAMjJyQm9R6WlpQsmqqUwd1Djx93TgmgwILJsWtbMVltxSG2kayN72ClERxEyComRQIBhfFtLE7+zEUWBzEVpZC5KCz3XdEZABEEgNzeX3NxcbrrpJnw+H83NzaHoQ1dXV1h7gIV6wdZqtSxZsoQlSwKJ31arNcxtuKenh56eHo4ePYpKpQq5DVdWVpKfn78gk6sVFBTGjyJkFBIioYjMjf8TEjJS8kK0M72No1arQ3b/d999NzabLWwbavQFu6SkJOyCnejxS5LMxWY/Lg+U5onkpE3thV6SZDpt6fR6i+i3CUzWDs9sNrNmzRrWrFmDLMt0dXWFuQ03NTXR1NQUimqNdBteKB4/CgoK40cRMgoJkci1djxbS1O41TzjpKSksHr1alavXh31gh30ZNm3bx9GozFsGypW3sivD7n5+T43Hf2BN04lws0r1Hz3cQMFmckXNMPr3QLAiRdlbllpT9p6giCQn59Pfn4+27Ztw+v10tzcHIrYjE6uzszMDGt6qdfrJ30MCgrTgc/rx2FxYre4GOxKvFhBIXEUIaOQGIlEZMaztTSflcwIol2wr1+/HhI23d3dYXkjubm5YdtQGo2G//yti39/L9xY0C/BgXM+LrXY+M/vppCbnjwxE209SRambD0AjUYTSpYGsNlsNDY2hiJb/f399Pf3c+LECQRBoKioKBQFW7RokeI2rDArkPwStn4HdosT+4ATh8WJyxbpHqyQXBQho5AQYgxn35GMS8gkcWtpLqHRaFi8eDGLFy8GAl2qg6Lm2rVrdHd3093dzZEjR1CpVGQXLOFn5+4hVpJSt0Xmpx+6+d5T0T0vxkvvoMR/fhC7GWiy14tFSkpKWHJ10OOnoaGBpqamUKuJAwcOoNPpwtyGMzMzZ3y7UWH+I8syXqcPt9ODx+HF7fDicXjRGjXxf1ghqShCRiFhBEEYU6SMR8gskIBMXFJTU8PyRjo7O0MX7ObmZj6/YkKSx74ov3/Cw3cf16NRD88b7Soaqynn6LF3j3nwS2Mfc7T1ppLRHj9+v5+WlpbQNlR7ezt1dXXU1dUBkJaWFuY2bDROrARfYWEjyj5ypUYeWeZCEH0YnE10OnPwOHx4nF48Tm/EuW6yRvm63jZWNZ+i2jqA8aoPOe12/KaFYb45GRQho5A4AmMKkJCQkeJcCcd+mgWLIAgUFBRQUFDAzTffjMvl4o9/1AqNY/+cww1Wh0yWOfD+ezyesM67O3fuZNeuXRGdeEd359VqtXQOxP/NjF5vulGpVJSVlVFWVsYdd9yB0+kMcxu2WCycPn2a06dPA1BYWBjahiouLlbchhXiYnS3U+U/jEbwQiGADzjCIpWBz6wrcXuTG5EUfF7yP3mVlOsXhwfru5GvHKNv/d0MrLk9qevNN5RPtELCCIIwZm5LSMgk8FwLdWtpLCRJoquri8bGRpqamrh+/Tq9lnVAzpg/p1GBST8sKrq6usI679bV1UXtxDt6rLi4mPSU+OJk9HozjcFgYPny5SxfvhwIvJ6gqGlsbKS9vZ329nYOHTqERqMJcxvOyclRtqEWOH6vP7At5PTidnjQegdZU3QCtRh5Q5aqdXJL0Vk+bNqAJCcvLyv301+Fi5gbCLJE9onf4jOmMrRkQ9LWm28oQkYhYeKd78e3taQIGVmW6e7uDpUdNzU14XINd+4WBIE1RX1cuyojj2Hkc1uNBr12+PG8vLywzrtLly7l888/j+jEG6077/0bNOz60D3mr2f0erONzMxMMjMz2bhxI5Ik0d7eHhI2ra2tXL16latXrwKBXJxg1VhFRQUpKfHbWSjMXXweP3aL80YVkZP+1kFaL3aFzanObYkqYoKYNG6KU3u4bs0PjUmSjMvlxO8fblwbbCQ5skFktDH1UD+pDbVjHndm7QFFyIyBImQUEkaIk/ArjmdraQEKGVmW6evrC0VcmpqacDjCm8/l5eVRVlZGeXk5paWl6PV6XK84eOeoN+pzGnWw8+5wF2OtVssLL7wQlv8y+nsg6lhJrooHN2nGtd5sJtjFvKioiFtvvRW3201TU1NI2PT19VFbW0ttbeBCkpubGxI2waoxhbmJ3yfhGHRhH3DgsLiwW5y47eEVRNFanRSmRHaZHs2ilN6QkJEkmStX6vG4PXQMtXDrndsBOHjwIHa7HZPJxPbt0cdUKhUp1y8ixDkfagd70A504clQ3H6joQgZheRxQ8hIU9SiYK4hyzIDAwMh0dLY2IjNZgubk52dTXl5eSjnI1pi6p8+bcCoE3jrcw+eEefdsjyRP3/WQGVhZIh7dOfdaJ14o41NdL25gk6nY+nSpSxduhSAwcHBUMVYsBy+u7ubw4cPT8q8UGF6kfwSTqs7ouw53g1TtN+nSvBHmTlqzoiIjcvlxOMOCCSHw47VagXAbreH/o82du3aNbxeL8XXrsbZPL5xrL7IMm5Rpfw9giJkFMZBvIiMUn4duDCOjLgMDg6GPZ6ZmRmKuJSVlSW0laFWCfzREwa+fq+OQxd8OD0yFfkq1ldNzcd35Hp//+NPae/q56mHNnH/tkVTst5MkpaWxtq1a1m7dm3UqrHR5oXl5eWhiE1amlJNMhPIsoxzyB3YHhpw4bA4cVhdEzqnqHWRonzQbSLHaB3z5wbdptDXer0BrU6Lx+3BmGoK9VYzmUzY7XYMBgMOh4PBwUFUooj/RsS6vr4+8ARekfVxjlNSafCawxtIqrUqVOq5e1ORTBQho5Aw8e5Gg1tLCyLccoOhoaFQtKWpqYmBgYGwx9PS0kKipby8fFINJNNTRB7aPH19mtJTRJbntKIdvMqK4nin2rnP6KqxoHnhSI+fCxcucOHCBQCysrLC3IZ1urmz5TaXcNk9oShLIL/FhRTPIyBBRJWISq3C7xuOwjQMFo4pZGQZGiwFw88hClRVLcHjdVG8soC+3l4sg4MYjUY8Hg9OpzNUQRckxWQiPSODtLQ00tPS8HzYgdY2MHqpEEOVq5F04ZVS+hTl7y2IImQUkkawRUFiW0tzU+w4HI4w4dLb2xv2eGpqaljEJSMjY4aOVGGyjDYvDPbQCgqbvr4++vr6OH78eCgXJyhsCgsLlaaXE8Dj9IZtD9ktge72U4nWqMFpHV6jdSiHQlMfxeaeqPPP95Zj8xqR/H4cTidOhxOn04nTb+dK96WI+QaDgfT09MC/tDTS0tMjLAC6bnuKRR/sQoyyfeRJy6Fv4/0R4+kF0duZLEQUIaOQMMndWkrKIU05Tqcz1B+pqamJ7u7usMdNJlMov6W8vFxxlZ3HjO6h1dPTE+Y23NzcTHNzM/v370en04U1vczMzJzpw591eN2+kFgJRluiJd9ONWk5KTitrhEjAsc6q+l1plGZ3o5ZF0jI7xxK4UxrBpfbwOmsw+0eJTpSfeh0WtLTM0KCJT09PaFu9678cloe+TYZtftJaTyHKPnx6U1Yl2xgYPWtSPrw3DmVWiS7VLlJCqIIGYWEiVt+feP/xKItszMi43a7wzoxd3R0hD1uMBgoLS0NRVwUH5KFiSAI5Obmkpuby9atW/H5fBFuw5cvX+by5csApKenh7kNGwxT2+JhtuH3+QOCZWB4e8jtmB09iHQpWgwpOpy2G605ZBmny8WJPj2fOvOxWfuRZfD6BWA4WV+lUmEwGDAYDaRlmSldsWhSv1dPZj5dtz9D161PIno9SFodCNGjevlV2ag1Sn5MEEXIKCRMvAv2eLpfz5Zk32DX5WDEpb29Pez4dTodpaWloYhLXl6eIlwUIlCr1ZSXl1NeXs6dd96Jw+GIcBs+deoUp06dQhCECLfh+dT0UvJLOKyuG9tDgf9dttj9u2YSWZax2+04sNHZ2YvdZsfldI06hwU+7yqVivSMDIxGA0aDEa1Oe2NcJG9xNhp9ki6noioiH2YkGYVm8quyYz6+EFGEjELijHEB9yMyoM0mc/PDqFQq+lQpZPgHEWNEXiabInPhuo83Dno4c82HIMCGKjVPbdexpGjsC4LP56O1tTUkXFpbW5FG+N5oNBpKSkpCEZeCggIl10Fh3BiNRlasWMGKFSuQZTnCbbitrY22tjY+/fRTNBpNWNPL7OzsOSOWJUnGNeQOM5lzWt2z5kZlNA6Hg0GLhQGLhcHBQQYHLfiCib5+wKkGhFCkxWgw0tnZic/no7y8DMMoewSVSiR3cVbyREwc0gtSKVtbOGf+PqYLRcgoJEyMKCc20Uijthi/oMZYEhhrATrkXCrczRhlV8TPTCbZ942Dbv7fX7vCxNBvjnp577iX//6MIayyx+/309bWFhIuLS0tYe6barU6LOJSWFg4r+6Ok8VcTc6eDQiCQFZWFllZWWzatCn0NxnchmptbeXKlStcuXIFCCSMj3QbNplMcVaYHmRZxmXzhFUPOQadSP7Z+bfhdrmwDA5isViwWCwMWix4vJFGj6mpqaFEXJMhFd+QHGacZx2yYh20hsqmgxhS9WQUmqdFxKg0KopW5JGj5MVERREyCgkjRLHJ9wgaGrQlSELkxd8naLimK2WZ6ypqRlUeTPDcd6nZFyFigvgl+MFrTnINvXiswwmY3hEnL1EUKSkpCQmXoqIipYngGCh3fsknaLRXUlLCbbfdhsvlCnMb7u/v58yZM5w5cwYIuD0HhU1JScm0uQ27Hd4wV1zH4NRXEE0Ur9c7LFhuiJeR7T6CGI3GkGgJlj9H3LjkgdvmYbDHhsfhRRQDj0t+CZVahdaoIS0nBV3K1FohqLUqUrNNZBSaSctLRaVWIsOxUM7gCokT5ZrWq8qIKmKC+AU1feoM8nzDZcp+v5/u7m6KPLmhjH6PxxNhlx9t7BefesbclvJL8H9erme56UDgkAWBoqKikHApLi5WbOcVZhV6vZ7q6mqqq6sBsFgsYdtQXV1ddHV18fnnn6NWq8PchpOVs+V1+8JKnu0DDnye2Sla/H5/SKwEt4lGt/qAwPs6snooPT094c++LkVLbkqg0qzf143F101aqYmi0qlpEaDSqDCm6TGlGzCm6zFlGNEZlfNUoihCRiFhopVfW1XxvQwGVakhIeP3+wP9RiQrx699xgsvvADAiy++GGpgGGtMq9VS2xD/5DoklLJ161bKy8spKSlRjMoU5hTp6emsX7+e9evXI0kSHR0doW2o5ubm0NcfffQRRqMxbBsqEcNFn9cfXvY84MTjjN5ba6aRJAmr1cqgxRLaJrLZhiJuZrQaTZhgSU9LQ6fXJ+UYNFo1qEEmWSZ8Asa0G4Il3YAx3YA+RatEPyeBImQUEkaligxtSsQPd47s3Gy1WgP9RozQ399PV1eg82x/f3/o/1hjxcXFcUvAAXJzcrjnnvL4ExUUZjmiKLJo0SIWLVrELbfcgsfj4fr166GITU9PD+fOnePcuXNAoHdXUNiUlZWhEtU4Bl0j8loCPYhmI7IsYxsaCgmWQDLuYER+llqtIi0tPeCKe0O4ROtRlizUwc7VvvF73AiigMGsCwkWU7oBfaoOMY4nl8L4UISMQsLoU3UMdoc3PTTITjyMvVdskIb3qs1mc6AHiWqQzMxM8vICodrMzMxQ9GWssU1L1bT0jH0i3rRU+bNWmJ9otVqqqqqoqqoCAjcGw27DDfS099HTNMCRD04helVkpGaRnZ1NTk4OaWlps+qu32G3h6qHgsJlZCI+BIRcSLDcyGsxmUzT+jpUN3LovAkIGX2KDlNGcHvIgCFVr+S2TAPKGV8hYQzmyFBttm+AQdXYzfOyff2hr1UqFdu3byelREvV6opQ7ssLL7wQkQ8TbewLt2jZc9iDL8YOk04Dj2+bvn5ECgozgSwHyp49FolMMQ9dtplSTTVWyyA9PT309PbSf6OFQl9fH3V1dWg0mpCoyc7OntIoxmhcLldY9ZBlcDAsCR8C7g5mszksr8Wcmhryp5opgsUAo0WWzqgd3h7KMGBM0ysmdTOEICt1lQoJ4rJ7uLDvakSot02dR48mukFTvrebfF94zxJRJbLq7io0uonp6L2nPHz/ZSejCyh0GvjBTiM3r1CS5CaLNDSEd+9eOvfsQXI4SFm6lPTHH0ezbt1MH9qCxGX3hPJZgmXPft/YORuSJNHf309PTw+9PT0MWsMbIRqNRnJycgLCJisLdZKS4D0eT5hgsVgsuN2RhngpJlNIsKSlpUWvIJphjK316E59gq6vDVGrQ7txK5r778dYVTbh85dC8lGEjMK4aDrTTu/1yC6tFtFMjzoTmxi4y0uV7OT4+kiTbBFz8yqzKF6ZP6njaO+TePMzD785cB2QeezOMh69SUteuhLGnSz+5mbsf/EXyP39EY9p7r4bwx/8wazaophveFzeUMlzsJIoGRVEHo+H3t7ekLBxjihPFgRIT88IRWwy0tMTioT4fL4wwTI4aMHhcEbMM+j1w92eb2wTJUs4JRuVRoUpw0DGwT1oD+2NnKDXY/qzP0O9Zs20H5tCdBQhozAu3A4vFz6+EtME6/333keS/Tz44ENRHxdVIivvWoxWn5yT2A9+8AN8Ph9/+Zd/mZTnW+jIkoTtW99Cam+POUf/zW+ie/DBaTyq+YvP4w9zxbUPTF/jRJvNFhA1vb309fUOO9wSSKjNysoOCZuUlJRABdHgYFhei80WeaOi1Wojuj3P1spBUSWGVQ+ZMgzoTVq8hw7h+Nu/jf2DRiPmXbsQpnF7TiE2SmxMYVzojBrK1xXRcLI1ug25ELuztagSWLylJGkiBgI+MYoWTx6+EyfGFDEAnt/8RhEyE8Dv8w+by934f6SD7HSTkpJCSkoK5eXlyJLEgMUSyK/p6cFisYT8a8ZCrVaHCZb09PRZ2xBTEAWMZv0NwaK/UfYcvYLI/c47Yz+Zw4Fn3z50Dz88RUerMB4UIaMwbjIKzVSKxVw73hIhZmLtOAiiQOWmEszZybVbD25xyLKsbHckAd+NMt6xkNrakPr6ELOypuGI5ibBxonBponBsufZKrrtDgdOpxOf15vw5yg/P5+ysjIyMzNnXT8yQRDQp+owpetDZc8Gsw4xioXEaGRZxn/pUtx5/gsXQBEyswJFyChMiPT8VJZtr6CjvoeB9pFJhJHCIrMojcLqXPSm5FcTKUJGYaaRJBmXzX0jGdeF3eKY1Y0TnU5nqIIoWPbsG1VaLAgC5tTUUJRFq9Xicrno6+ujt7cXr9dLZ2cnnZ2dqESRzKwscm5sQ6UmYMqXbHQmbZgrrjFNh0o9xYnDs0y8LWQUIaMwYYxpeio3FuOwuuhvHcRt9yBqAUEiozAVY5qR9IJUjFHKtpPFSCGjMHnUq1bheeutMeeIixYt6GiMy+YedsW9sU0k+ZPj+pps3G53WLdni8WCxxO5nZWSkhKqHspIT8eclhY1ylJWVoYsywxaLPT09tLb2xuqjOrp6YFLl9DpdKES75zs7KQ57AbRGjTheS3pBtTa5IkWQRBQr1mD79SpMecpyb6zB0XIKEwao1mPcXngZKXZL+F1eChbt2hamjEqQia5qDdsQCwsHDNPRruAwuluhxfHoDOsD9FsbZzo83rDXHEtAwNhlUlBjEYDaWnDdv5paWnj+qwKgkB6RgbpGRlUVVXh8/no7+sL+dfYbDZaW1tpbW0FAt2lg8ImKytrXCXWaq0q5NMSjLgkM8cuFtpHHhlTyAjp6WhuvXXKj0MhMRQho5BUpltY6H0+ZK8XSZqdd8RzDUEUMf7Zn41Zfq194IEZOLKpx+v2jWiaGBAuXvf0VBCNl2DjxGCUxWKxBFp/jEKn00V0ew6aSyYLtVpNbl4euTfct10uV6jEu6e3l6GhIYaGhmhoaEAURTIyMkL+NWlpw2aaKrU43IMoI1BBpDPOjLmlZv169Dt34vrpTxnd2EkwmzH+5V8izNJKrIWIUn6tkByG+uHqUfrOHwFZIr1yJaqlWyG7ZEqW8x46hPvNN/HX1wMg5OWhe/BBtI88gjDLTLXmIkFDvI49e5AdDlKrq0l77LF5Y4jn8/oDPYgGhreH3I5Z2oNIkrAODYXltURrnKjRaCK6PeuTvK0zEQYHB+nt7aW3p4e+/v7ATYcAaCR0KRpKFhexeFkFS1ZUkZGRMdOHG4a/qQnrm2/SffQook5HyY4daO6+GzE1frNchelDETIKk6e9Hj57DfxROuiuvguWJzcE63r9ddwvvxz1MfWWLRj/5E8UMZMkXnrpJRoaGvj6179OUVHRTB/OhPD7JJxDrpArrn3AicsW6TQ7G5BlGZvNFmYyZ7VaIyKOKpUqZC4XzGsxmpJbEZgsBCHQONGYbkCXoqbf1kdrVzONjY0R5d2ZmZmhppfl5eWzwn+mv7+ff/3XfyU/P58XXnhhpg9HIQrK1pLC5HDZYosYgLMfQWYR5FcmZTl/S0tMEQPgO3IE74EDaO+4IynrKcwtJCnQg2ikK65zaPZWEDkcjrDqocFBS5gxHdzISUkP7/ackpIya6v09Cm64e2hdAMGc3jjxAJyWcEyIGDKF2x62dDQQH9/P/39/Rw/fhxBECgqKqKiooLKykoWLVo068q8FWYHipBRmBzXTsYWMUGuHAkTMh6PJ6IZZMJjH3wQ95A877+vCJkkEQzYzsaLpizLuGyesOohx6Azpuv0TON2ucK7PVsseKI0TkxNTQ3La0lNTZ21F3CtQXOj23Mgp2W8jRNTUlJYvXo1q1evRpZlenp6QqKmqamJlpYWWlpaOHDgADqdjrKyslDEJjMzc1b+XSpMP4qQUZgcPU3x53QPz/F4PLz44ov09/eTmZkZCtUmMqbVavFfvx53uUTmKCTGbBIybocX+4Bj2B13cPZWEHk8njDBYhkcxBWlgshkMoXltczGxolBNDr1jXJnfUi4JLNxoiAI5Obmkpuby5YtW/D5fLS2tnLt2jUaGhpob2+nrq6Ouro6ANLS0kLRmoqKilnrKKww9ShCRmFyJHKBGzGnq6uL/hvVMP39/aE98kTGiouLERJIXhSUE1rSmKkUOq/bhz2YiHvj/2Q0TpwKghVEloGBUF6Lw+GImKfX68NKntPT09GMs3GiHz+DWBnAglcYrqgyy6lkko6e5CT3qjQqjGnD20PGdAM64/Q2eVSr1ZSVlVFWVsadd96Jw+GgsbExFLGxWCycPn2a06dPA1BYWBgSNkVFRdNi/6AwO1B+0wqTI7cCOq7EmVMe+jIvL4/MzMxQpCXvRslmomOam27Cd/TomMv1lJWRIkmzNhw/F5nqiIzT6sLSZbvhjuvE44yzXTlDSJKE1WoNy2sZGhqKmKfVaCK6PU/GGE5CopV2OoRuJCKtBgaEQa7TSgomKuVSjCTezFBUiRjT9CFXXFO6Hp1JOyuicCMxGo2sWLGCFStWIMsyAwMDoWhNY2Mj7e3ttLe3c+jQITQaDaWlpSFhk5OTM+tej0LyUISMwuSoWAcX94M3VhWIAEu2hr7TarW88MILEbkviY5pbrkF9+uvxzRs84giv/F4SPnJT9ixYwc5OTlJe6kLkaneWuptHqC7oR/HYOS2y0wjyzK2oaGwvBar1RoRpVKrVcMGcze2iYxJ7IrswsUVoREbkT4xo7Fh55xwiVK5mHxyIx4XxEAF0UhXXH1q9MaJsxlBEMjMzCQzM5ONGzciSRJtbW0hYdPa2srVq1e5evUqEMg7qqioCP1LSUmZ4VegkEwUIaMwOXRGuPlZ+PQV8I0WMwKsux9yy8JGtVotxcXFExoTNBpMf/VX2P/qr5CamsIfS0/H97Wvob5wgba2Nl588UXuuOMOtmzZokRnJshUCRmv28f1M+1YOiOjGTOF3W4fjrRYLAxarfj94dtZoiiGVQ8FK4imCi9eLgh1eEg8QiUh0yg0I8kSFSmlw9tDGXqMZn1CjRPnGqIoUlxcTHFxMbfddhsul4umpqbQNlRfXx+1tbXU1tYCgchwMFpTUlIy7i0+hdmFImQUJk9eBTz4Hbh6nN7zR/C6XaSWLiNl7R2Qnp/05cTcXFL+5V/wnT6N7+RJ8PlQLV2K5pZbMGs0vHDzzXzyySccPnyYvXv3cvnyZXbs2EHWAu4PNJvwef3UHWqaUS8Xp9MZkdcS2TgRzGZzmCuuOTUVYZpEsYzMVaExYRGj1qrQGjXojJqAI67RT1FhLuna6W/iONPo9Xqqq6uprq4GAqZ8wWhNQ0MDXV1ddHV1cfjwYVQqFSUlJSFhk5+fr2xDzTEUIaOQHAxmWHUnH13ooe56HV++dSspUyBiggiCgGbduqhOsxqNhnvuuYfq6mr27NlDS0sLP/rRj7jzzjvZvHmzcpIaB8mOyMiyTOPJtmkVMR6PZ1S3Zwtud5TGiSZTWF6L2Wye0QqiLnqwYI0YtzpM1LUtpqW7AJ9fRU6mg3Vrulm1rD8i9/5U7zluL7gp8vfndUHjGei6Fvg+pwzK1wYirPOQtLQ01q1bx7p165BlmY6OjpCwaWlpobGxkcbGRvbt24fRaAzbhlKY/SjOvgpJ5Ze//CUXLlzg2WefpaqqaqYPB4/Hw759+zh27BgAJSUl7Nixg8zMzBk+stmNyyPz4SkvL797FYfTy+2binnurnTyMycXjehrsdB4qi1i3I/AgCodqyoFGQGj5CTLN4CW8fU68nm9gUjLiB5ETqczYp7BYAhzxU1LS0M9i7YX/Pg5LZzDiw+VWkBr0KI1auiy5LBn70q83kiBtXxpH48+eDVCzNySt5kM3XBPI3quw6e7wTPqfVHrYNszULB4Cl7R7MXj8dDc3BwSNt3d3WGPi6IYclb+kz/5k1nhNqwQjiJkFJLKW2+9RW1tLU899RTLli2b6cMJ0dTUxJ49e7BYLGg0Gu666y42btyoRGei0Njp57/80E6XJfzUoBLhe08aePSmiTfyu3jgGg5LeGKvU9DRoCvFK4QLCUGWKPa2k+kfjPpcfr8/VEEU3CayRW2cqA3r9pyenp70xonJQlSJGNP19Br7aFW1oTVqUesCosXrFfjXf1+L0xVbcN17RxMb1obb/lemlrEiY0ngG5cN3v3nQEQmGioN3P8HkDK7eh5NJ8EGl8F/Npst9JgoimFuw4WFhUr+3SxA2VpSSCrBUPzofIOZpqysjG9961vs3buXEydO8P7773Pp0iV27NhBeno6zT1wqQUGbKBWQVkeLCsC08z33JtWvD6Z774YKWIA/BL87RtOSnNF1i4e/6kj6L47EgkhqogBkAWRZs0idJIHo9+OdWgoLK9laMga0ThRrVZHdHuerUZpgihgNA+byxnT9RhSdfhlP03t1zFK4cd9sS5rTBEDcOJMLhvWdAWaMt6g19U3/M3V47FFDARcuq8chbX3TeQlzQtSU1OpqamhpqYGWZapq6vj9ddfBwJCprm5mebmZvbv349OpwvbhlIivTODImQUkkrQhGq2CRkIVEE9+OCDLFu2jLfffpumpiZ++MMfUn3T79DnDi/TPtMQEDb3rYOctBhPOA/Zd8ZLR3/sIK0kwyv73RFCZnQ7iWjtJax9NgYGBsJyTwZUaVFFTAhB4JJFpuezD/CPbpwoiqSlh3d7Ns3ixon6VN2wK266AYNZF7WCqMHajEeKzOFpbY/fcbmv38iePXtRqz0IgoAgCGglNUeGDiKKIs/l2SmMF4zqqFvQQmYkQbdhgPz8fL7+9a/T0tIS2obq6Ojg0qVLXLp0CYCMjIyQqCkvL5+1Inq+oQgZhaQym4VMkIqKCr71rW/x4YcfcrmVCBETxO2FvWfg6VsC2yoLgc8vxv+9jZ4zuu3Ezp072bVrV0TLiddefo3BVgcmk4nt27ejUqmwquJfnMWsIiRZjuj2nJKaOmu3BnUmbZgrrjEtvHFiLLySl2vWpqiPiWJiWQBqjYgoBPI6JEnC5yfUHkGQEnBH9s9OB+UZwe1A33SSxwr8aPX9qDvrKS+tprw8YPLpcDhCW1DXrl1jYGCAkydPcvLkSQRBiHAbHit5XLbZ8Ozdi/fgQaShIVQFBWjvvRf11q0Is7RtxWxBETIKSWUuCBkAnU7Hww8/jO0TN/YxqlsdbmjqgsqC6Tu2mcSXyHVOCnSZDpqojW47UVdXF7XlxOCAFVBjt9uxWq1kZGQgE1+IiGoN999//6zNRdAaNGGuuMY0A2rtxC4816zX8crRPzuVZRZO1eaN+fPFi6w8+OCdYWPpmjRuzguYxgknfgNNp8Y+iKxF4zrmeUvzeTj6a4x+L6vNAA449CqYs2H7lyElA6PRyMqVK1m5ciWyLNPX1xcSNo2NjbS1tdHW1sann36KRqOhvLw8FLHJzs4OCXGpsxPbn/0Z8ohEY19XF74zZ1Bv3IjxT/8UYRYlo882FCGjkFTmipCBQMTF7o1fgdAxsHCEzPJSFfvOjO1bsqxYFeYEO7rtxNKlS/n8888j2kuYzWas9kBExmwOeJsYJWfcqIxJcs4aEaPWqm6YywWjLXq0+uRcYDx+Lw1DzTEfr6q0kJXhpG8g9nbF5vWdEWP5xhxEUQy8h0u3QNNpYIzozuLN4zns+UlfKxz+BciR7SCw9sKBn8P9vw/isGAVBIHs7Gyys7PZtGkTfr8/zG24ra2N+vp66uvrgcDnIShqSv7zP2FUtVQQ3/HjuF97Df3zz0/JS50PKEJGIanMJSGTKLN092JKeHizhn9/14nbF/tFP3lLeJJFtLYT0dpL7Nixg4ZzzWE5Mlm+AbrU2chCbKGS7e9PwisbPyq1GMpnCURcDAGjuSni2lATvhjRGAj8HT79eB27dpfjdEUmbt1+czNLqwYixguMI6I4GQWw5l4480HUNdrSl7BolBP3guTyZ9FFTJChXmi7BMUrQ0Oj88JUKlXIXG/btm1IksSVK1e4ePEinZ2dWCwWzpw5Q9ehQ5Rcuzbm4Xh++1t0zzyjRGVioAgZhaQyl4SM3+tALXnwieljzitcQIUIDmsXNSkHOGG5GynK6eHBTRru3xh5Mh3dTiJaewm1Wk1GRnhZrwYfJd42rmuKoirGLF8/Gf5IU7hkI6oEDObwbs/6lOlrnOj2e8aMxgQR5C4WF+1hyLkWleZmfH4VuTkO1q3uJjsrshopXZtGqmZUAnT1toDjdv1h6GoAZBwpebx5oYPrDS18a/NAxO9pwdF2Of6c1sshITM6TyyYFzY6d2z//v2h77/1rW/R0tKC9PbbcZeSBweRmptRVVZO6mXNVxQho5BU5oKQkWWZ06dP89FHH4FpMZlVj8ecm2qA0sjee/OSgYEBdu/eTbZo5xtb82n1b+LT8z48PpnqYhVP3Kzl7rWapF/cM/xWdFIDPeos+mQ9CCIpsptcyUK6lHwRIwiBxomBaEugishg1s9o48Sr1ib8cvwEpbq6OkTRx+YNQyxeHKfrPLA0LYYzbX5l4N8NjECa/x28J0/ym9/8hueff37WJlJPObIEiSRFS8PnuNF5YsG8sLFyx9xuN+vXr8fd1ITrVJy8JYBZsr06G1GEjEJSme1CpqOjg/fee4/W1lYAqku9FBS4qe+IzJUx6uCetTDHGgNPCIfDwe7du7Hb7SxbtowvfGH7tOalGGUXpd42Gj/5BJvdzt133YVOnxwTH32KLuTTYrohWhKpIJouXH43TbaWuPP6+/vp6elBq9VSXlYed36GNo08Q+Ld3++++26uXLlCY2MjJ0+eZMOGDQn/7LxCECE9DyyR+UZhjGjBMjpPLJgXlkjumLqmJv4hZWQgjopwKgyjCBmFpBIUMqO7Bs80LpeLjz/+mBMnTiDLMhkZGdx///2hNgpLiyMN8ZYUgm4BbEl7vV5effVV+vr6KCkp4bHHHps1ybXjRWvQjOj2HCh7Vmtmd+nq1cHGhKIx9XWBJNHFixejUsd/TUvTxtdqQKfT8cgjj/Dyyy+zd+9eqqqqSEtbQCZKI1m8CU6MseUjqqByWOjFygtLJHdMtXgxquXL8V+8GHM57QMPIKiVy3UslHdGIalobiSjzZaIjCzLnD17lr1792K321Gr1dx8881s27YtJLoA8tID/xYakiTxq1/9itbWVrKzs3nmmWdCv8PZjkanDtseMmUY0Ojm1inN6XNx3dYad15fbx+9vb3odDpKy0rjzs/SZZBrGH+398rKStauXcvp06f5zW9+w3PPPbcwt5gq1kPHlUBC72gEATY8AvqUsOFoeWGJ5I4BGL/3Pex/9mdIbZF9yDQ334zuyScn+EIWBnPrU68w69E3NbGus5NsWcZ/002oCgundsHuJuhvDdwhFSyB1OGTd1dXF++99x7NzYEkyqqqKu6//34lkfEGsizz3nvvUVdXR2pqKl/60pfmjBOpPkXLyjtnvinpZLlibcTPGNUxAHIgNwZgcdXihDpyV48zGjOSe+65h6tXr3Lt2jXOnDnD2rVrJ/xccxZRDDTQvHYc3+XDqO19SDKIRdWwdBskubJLzMoi5Z/+Ce/+/XS++SaegQGM5eXkPPUU6nXrFqaYHAeKkFFICv7r13H8wz+Q2tTEdoDWVmzf/CbqTZswfve7CMm2jh/sgs9/Efg/xPuwaCnutQ+x/7MjHD16FPmGI+z999/P0qVLk3sMc5xPP/2UkydPotPpeO6552bXNkLcE/fcP7E7fE6abZF34KPp6e2hv78fg8FAaUn8aEy2LpMs/cTFul6v5+GHH+aVV17ht7/9LZWVlSHfnwWFKELVZqxZVfx///ov5OXn87u3PDdlywl6Pdr77uOCLHPs2DF27NhB4Zo1U7befGJuboQrzCqk3l7sf/7nSE1N4Q/IMr6jR7F///vIUpy7zvHgGISPd40SMQAytF2m91f/yJEjhxFFkVtuuYXf+73fU0TMKM6cOcMnn3yCKIo8/fTTocTDqWR0g8eoc6b8KGYPVwYbkBKJxly+EY1ZvDhqb6bRLE2bfIluVVUVNTU1uN1u3nnnHeREfnnzGAkhIRfqZBCMviz093w8KBEZhUnjfvttZIsl5uP+S5fwnTyJZuPG0Fi0poKJjlF/GNz2mOst0vnZvngRq+97kqys8ecJzHeuXLnC2ze8Kx599NFQ3xiF6cPuddBsb487r7u7G4vFgtFopKSkJO78XH3WpKIxI7n33nu5du0aV65coe6ddyjt6EC22xEXLUJ7992IyhbtlKAImfGjCBmFSeM9cCD+nP37Q0ImEfOoWGNarRaun4273m3lmQiKiImgvb2dX/ziF8iyzN13382qVatm+pAWJFetjchR4k9epxnHQCkeeyYgMGS/Qqqhn4oqE0ICPgDjrVQaC4PBwMN33YXr7/6OghMnGNmP2/3qq+i/+lV0O3YkbT2FAKH+S8mMYs9zFCGjMGlkm21ccxIxj4o1VlxcDB5n3PWEBOYsNAYGBnjllVfwer1s3ryZrVu3zvQhLUh8kp9WR6RHidOyiKHO5YzM/0nVr2BZ0QpMxnqgacznzdPnkKFLbp7TorffxmeNYkro8+H68Y8Rs7LQ3HxzUtdc6CiJveNHyZFRmDRiAvkVI+cEzaOAkDFUomMAmBIIaacsoL4CCWC323n55Zex2+0sX76ce++9VzlhzhBdzp4I3xif28hQ5zJiJTHbe5fgdYwtUpamJ9e+3n/9Or5jx8ac4/rFL5K6poKytTQRlIiMwqTR3nMPrv/8z7Hn3Hvv8NcJmkfFGqNyA5x+f+yDqlw/8Rc0z/B4PLz66qv09/dTWlrKY489poiYGcTqjYxgOi3FxLuvdFhKSDOei/pYgSGPdG1yK4u8R47EnSM1NCB1dyPmLpA+HtOAJAt4JR0+vyJkEkURMgqTRnvffXgPHsR/JXrvF+3990c0O0vEPCrWGJUbAnky/TFKVxdvgowp9q+ZIwQN79ra2sjJyeHpp58OMwKcbSyEu1CXP7K5o9eZHvfnxpoTs6fSZHC7E5omJzhvLtI5AGcaTOSu+T1ElcCJK7CsGEzJ6Z4RRnufxM8+cvPe0bV4/Bs4+As/DzU7+fJdOvIzlc2TsVDeHYVJI+j1mP76r9E+8ACM6I8jZGej/9rX0H/rW8ldUK2F278Kizchq7TD4wYzrLkP1j+U3PXmKLIs8+6771JfX09qairPPffcnDG8m88RIyHq9lF8ASfEmLPImI9ZmzrJo4pETKSazWSat9GYE1fgnePQ2q9DY8hG0GZxphF++Tl09Cd3raYuP1/7f2289bkHjz9geOj2qfjVZx6+9o82mrtnV8uX2YYiZBSSgmA0YvjWtxD/7d94rbqad7ZuJfXHP0Y3VdsYGj1seBj73d/mx9dVvDaQCQ//EVRvS8BMbWFw8OBBTp06NTsN7xYwRnWkmNSa+uL+nNbUG3U8RZNks8kbaLZsQUhPH3OO9s47EXSRDVfnOk3dcKYx+mNeH3x0JvB/svjBa04GbNGFap9V5m/fUIoXxkIRMgpJRTAY6ExJYcBsRkjASn3SqHW0uQR6/Rqlzf0ITp06xf79+1GpVNNmeDedzGWtmqIxRowZ0lsRxDGujIKEIaM56kO9riSHB4JLajQY/vAPQauN+rhYUYH+2WenZO2Z5sL1sR93++BKR/iYx+OhpaUFj8cTcyzanGvtfmobxo64nLji53qXEpWJxezdLFdQUJgQV65c4Z133gFmmeHdAsh/SYQsXWRFnUrjJm3RGQbb1iBLo07Lgh9z4TnUOkfU5xtwD+KT/KjF5N84aNauJeXv/56O//gPjBcuoJJlhMxMtPfcE4i2GiNF2VxHlqHTEn9eRz8sv5G+l4g31s6dO9m1a1eEL9bV9sQEytUOidK82d3JfaZQhIyCwjyira0tZHh3zz33sHLlypk+JIVR6FRazJpUrN6hsHGtqZ+sik9xDi7CY89i0DLIwFAdJUvc6FNjCwYJiX63ZULdrhNBVVHB2Vtu4aRWy4P33svarVvndQ5Toox8CxLxxqqrq4vqi6XXJvZe6udGU/oZQYnFKyjME/r7+0OGd1u2bFEM72Yx2froPkei2ospq4mMkpO4NO/Q1v8+/QPxG0v2uadmeylId3c3kiiSU1w870WMIEBBAlZVI+ck4oO1dOnSqL5YG5eq41ZBmY0C66uUuEMslHdGQWEeEDS8czgcrFixgnvuuWemD2mCLIztp2xdBg1DYydiZGdnc/XqVXp7e6laUjXm3B5XP8uSeYAjkGWZ7u5uAHLnaYXSaFaUQPsY2lCngcUFw98n6o0VbY5RJ/DUdh27Poxdxv70dm3CkZuFiBKRUVCY43g8Hl555RUGBgYoKyvj0Ucfnfd3zXOdLH1GjDLsYTIyMxBFkYGBAfz+sfMoBj1WvJI3mYcYwmaz4XQ6SUtLQzcPK5SiUZoL62IYJWvVcM9a0IwKAwQ9r7QjkqNHj0WbA/C79+t4fJs2IoldEODJW7R8/b6F8b5PFCUio5A0ZJsN6b33uL+hAXV7O56DB9HcdBPCVBmweZxoGo7zeIEfjXYwYJJXvAKmIOlxtuL3+/nFL35Be3s7ubm5s97wTiGARtSQrjUz4BmMOUelUpGRkUFfXx/9/f3k5OTEnCsj0+caIN+Y/IjJQovGBFlXCUXZcOaqm2stFtQqkQ3Lc1haBMYk6wpRFPjjpwx88TYtL/66kcvXullSnsW3n1xMcc7COZ9NFCUio5AUvEeOYN25E/mll1ja309lezvOv/97hr75TfytrclfsPUSvP0P6C5+zCqzTLXeBYd/Ae/+M1h7kr/eLESWZd555x2uXr2K2WzmueeeQ6+fAsvRJKEULYUTK08mbE52NgB9vfF9ZqaqDHuhChmA3DTYUG6nu/ZHSO2/Zm1l8kXMSEpyVTxU08PqlL3cs6xdETEJoggZhUnjb2zE8bd/C65I63W5qwv7//gfyCN8EybNQAd8/jr4ojynfQD2/xz8UxNmn00cOHCAM2fOoNfree655zCbk9trZ1YzD7bOxiNkenujm+GNpNc9MOljisZCFjIzgdI0cvwoQkZh0rjfegt8sc285O5uvAcPho0lYh4Va4y6wyCNkTPgsMD16M315gsnT57kwIEDqFQqnnnmmXlxkel2qLlKNY3q1TRZk3fba3fJNHf7sdikpD1nMsjQpiPGOQWnp6ejVqsZHBzEF8dK1uodwu1Pft+jnp5AhHM+/I3NBRQhM36UzXSFSeM7dizuHO+xY2jvugtIzDwq1phWq4X2y/EPqv0yVKyb+IuaxdTX1/Puu+8C8Nhjj1FaWjrDRzQ5HF6Bn1/K5HyvHpl80MLls1CS6uGrK/rJM07MC76jX+Lf33Ox74wXtzcQxNlSrebr9+lYVTbzpz61qCJTl07vGKXTgiiQmZFB2qVmzB8dx7Aoj/5lpcia6FsOva4BFpnyk3OAbgdyxxXyHe34dcPRIYWpRREy42fmP80Kc56Eto1GzEnEPCrWWHFxMfgTuLAlMmcO0traGjK8u/fee1mxYsVMH9KkkGT4/2qzo0Zgmoe0/POpHP5kUxdm7fiiKe19Er/zTzb6rMMXA1mGw5d8nLzi4++/YWRL9cw7jGXrM8cUMpnnGnnh7fOYBx1AJwCeFAPXH9xE+/bVEfN7XX2TFzJ+H5z5ABpOIvh9PBQMxOzfBZseBXPspGOFyaMImfGjbC0pTBpVZYw6xZFzKipCXydiHhVrDICMAuKSyJw5Rl9fH6+++io+n4+tW7eyZcuWmT6kSXO2Vz/mNtKgR8XB1pRxP+8/vekMEzEj8fjgf7/mRJJm/kIxVp5MxqVmVv77uzdEzDBam5Oq1w9QuL824meSkidz5Jdw5WjkzUBvM3z8E3DErrRSmDyKkBk/SkRGYdJoH3gA56VLsSeIItr77huen6B5VKwxFm8KnFRjIYhQuXHSr2s2YbPZQoZ3K1eu5O67757pQ0oKxzvj9+o53mnkoQpr6Hu/309fXy82W14oEbWoqCj099E7KHHowtgRuc4BmcOXfGxbMbNRmXStGZWgwi9H5nyV7/kcYQyxVfbeMTpvWoGkHT6NW11DNDU3UZhfGHo/PB5P5Gco1nhfK7RciH3ALhtc/gzWPTDOVzq30fj9iHG8fJKFR9KhSyvHLY9fwC9UFCGjMGk0t96K7+RJvPv3Rz4oCOi/+U3EUYmCQWOoiYxRuho6rsD1yDtSEGD9Q2BKH/8LmaUEDe8sFgvl5eXs2LFjThreiarIY3Z44weFbSPm+P1+Dh48iN07xIFLHyJJgS2njIwMvvnNb6LVamntlfAnsBN1vVti2wzvzImCSJYug25XeFWSsb2P1JaxbQQ0dheZ5xvpXRdw/fX7Au/NqZbD5KbnjJlnFi1PTavVQtOZ+AfddGZBCBnZ78fz7ruIv/kNv9fZiQzYu7rQPf446pqapK/XZ4UjddBhWUX28lV0Ab/8DNYvhvL51bw+6ShbSwqTRhAEDH/4hxi+8x240WlZEgTUGzdi+uu/Rnf//cleELY8AZsexZ8W+IRLMlC4FG7/KiyeP9GYoOFdR0cHeXl5PPXUU3PW8E5n0kaMZRri3+VmG4ajK1arFbvdDmo5JGIABgYGQnlVJn1iIi/ReVNNTpTtJe1Q9E7XEfOsw/OC741flEI5ZbHy0WKN47LFX9TjHLtqcB4g+/04/tf/wvUf/4HQGchNEgDfqVPY/+Iv8Pz2t0ldr28I3jkBHaN2Bi122FcLV9qTuty8QxEyCklBEAS0d9+N6gc/4J/Xr2f33Xdj+su/RL06MiExSQtCxXqct3yV/1mn4t/6cmH7lyCvIv7PzhFGGt6lpaXNesO7eOhTInNhthXa4/7cyDlmsxmTyQRqGVEcPn1lZGSEcqiqFqkoyxv71KZVw62rZocgzIoiZNzpiW0ruDOG5wXfG1EW4uaZxcw/M6bFX1SfMu/dsz2//S2+48ejPyjLOH/0I6T+5BkQHq+Hsarrj9aRUJRxoTI7PskK8wpZEKbVsExGgDh9a+Yin3zySZjhXWpq6kwf0qQwpusRRAH5Rt6HLElYG4+xyLeYNnV11J8pN7vZWjAsZFQqFdu3byetUk9RZWHUHBmAr92r4y9/7ox5LE/crCU9ZXbcx6VpUtGKGjwjeiU58zIYrCggraEj5s95Uo30rywLfa9Sq7j91tuoUVVTkF8wZp5ZrDw1ytdC3edjH3D5/LQ1GInn/ffHnuDz4fnwQ/TPPDP8M1FyjkaPRZtjc0FrHONmlxeud0NFkirr5xuKkFFIOrIEkht8Hj9q7dTfuU33etPBiRMn+PTTT0OGd2P12ZkraPUasksy6GnqR5IkTp48SVdXF+s1XawozOBIbzZWT+D3p1dJbMp3sKNykNGWKebsFKprApG3lJTokYt712sZcsj837ddOEe4AwhIPLJFzR/smD2RLUEQKDIW0GALT2BveGwbq//lTVTeyG0cWYBrj29DVoW/OdnGLErzwn2FouaZxRpPz4fKDXDtRPSDNWXA0psSeFVzF1mSkK6P3ZkcAo7mQRLxxtq5cye7du2KyEuyRxqiR2Uoti5f8ChCRiEpDPXa6bzaR3/nALTr8QzCmfcvo9GpMaYbyF+cRWq2ac6uN51cvnyZ9957D4DHH398zhvejaRgSTad13o4duwYfX196PV6tmzZQkqKl4ekDlptGiRZoMDkRa+OXrFTWJ2Yw+wXbtFx3wYtP3m7kcOnGtEITgq1ddxVeQsqcVMyX9akKUstjhAy1ooCzv7Bo1T+6hDm612hcUduOo0Pbwkl+Y6kJGXR5A9mw8NgMCPVfY7ovXGVFcRADtr6h0A/Nz9XiSKIImg0Yd5XUeeNiAAm4o1VV1cX1RdLH5k6FhVDgvMWIoqQUZgUziE3Lec6sPYEwv8+T/jdo9ftY7BriMGuIcw5JopXFWBInbj9/HSvN920tLTwq1/9ClmWuf/++1m+fPlMH1JS8cleTjYcoa9vAKPRyJYtWzAaAyXYKhFKzWP3yMqtyCQtN/Gy1BSDwK3VQwxcPkRmZib9/TZqa2vZtGl2CZkUjYkCQx4dzq6wcWtlIae/9xTt+4/gvNZM4YpqDJtXRd26zdJlUGRKgn+SIMLK27muX8Snb+6mtLiIWx9+KrH8mXmCZsuWiLYqEXO2bg19Hcw5CkZbgjlHI8eWLl3K559/HjEnzQg5adAzhj2PWgVlSuVSTBQhozBhHFYX9Z81RYiJWFh77NQdamTJtjKM5vGH9qd7vemmt7c3ZHi3bdu2WXexnSxWq5WXX36ZHnsPWYtzWFe2Gd04kpdzKzIpWTXxC3V5eTkej4f29nZ6enpm3XZdTeZybN12hryRlUM96QZaco0YirMxRBExKkHFqozoeUYTZcjhotEhkmHKX1AiBkD32GN4P/88Zg85sbgY9ebNoe8T9caKmpcEbFgMH5yK3SG+pjyQoK4QndmR7aYw53AOucclKoL4PH7qP2vCOTS+5nbTvd50Y7PZ2L17N06nk9WrV3PnnXfO9CEllYGBAXbt2kVPTw+LFi3id76zkxW3LsGQgMDU6NWUrC6YlIgBEEWRVatWAXDmzJlJPddUoFVp2JyzFr0YGUEMlpqrVJE5YDpRy7bcDZi1yU0Gt9kCgipWHtJ8RrV4McbvfQ8MhojHxLIyTN//PsKo30Uw52ikQBk9Fm0OwKIsuKsGTKM+Dhp1QOSsnT/FmFOCovEUJkTLuY4IUWEXDXQZC8i77xuIyLSpZbL9/ejk8O0Cn8dPy7kOltxUNqn1Gga1fNKcxmX9M6hl6L+qYvsiG9mjvEkmst504na72b17NxaLhYqKCh555JE5aXgXi+7ubl566SVsNhvl5eU888wzaLVaDAZIy0thoN1KX8sgLpsbj8OLLMtoDRr0KVrS8lPJKc1AVCXnnmvNmjUcPnyYc+fOceedd4aVcM8GjGoDtxZs4bLlKtftbaFx/w1X2dHvQ4Y2jXVZqzBp4jskj5eFLGQgsHVkXr0ayzvvcOn999GZTKzeuRP1unWBPJokU5oLxTlw5HQznx87T/GiHB6/YyMa5SodF+UtUhg3Q732UI5KkE51Np2awCau5sbNRg/Qp86kzNOMWQqfb+2xM9RrTyghN9p67zem8k7jjXD3jXPKvmb4tNXE767qY1lWeARmPOtNJ0HDu87OzpDhXbS77rlKa2sru3fvxuVyUV1dzRNPPBFm6CcIApmL0shcFPhdSn4JWZZRqafmPcjNzaWgoICOjg4aGhpYvHjxlKwzGXQqHTVZKyhNKeK6rZV+z2BIyKhUKrSilmx9BhWppWTq0qfsOOz2wGduoQoZAMFkQr77bvZevkx+fj7rN2yY0vVEATKNDuxdx9HmrUajnj/mnlOJImQUxk3n1XDTA6toComY0UiCSJO2mOWuK6gJj5R0Xu1LSFiMXu9Sn25YxIzCI4n8x/ks/udNnaRowh2kEl1vupBlmbfffptr166FDO90urmTmByPxsZGXn31VbxeLzU1NTzyyCNxIyDJiryMRU1NDR0dHZw9e3ZWCpkg6bo00gf74VotN/u9kJGGv9OCPrsGspdN2br+9nY8H3zAqs8+o9zlIuPUKeSyMoQo2ywKyUdpGjl+ZldcVWFO4LCEGxr0qrPGnC8JKvrV6WFjfr+floZWPCNKHD0eDy0tLZFjDa2hO1KAT+J0Q3b7RQ63R4baRx/3TPPxxx9z9uxZDAYDX/rSl+a84d1ILl++zO7du/F6vWzatIkdO3bMmm2clStXIooily5dwu2exblTV47Cx7ug9RIaQUYjgt7SBodegTPJtcgP4n73XWzf+haeN98kp7ubcqsVw2uvMfTNb+JPwFtFYfIoQmb8zI4zi8Kcwefx43WHZ/LbxPj78zZxOBISbPx38JNP+dG/vYjH4wkZSv3kJz/hxReHx370by9y8JNPOXjwYEjMXLXEj1pEm+N1+8adLDxVHD9+nEOHDqFWq3nmmWfIzs6e6UNKGrW1tbzxxhv4/X62b9/OfffdN6tyfkwmE1VVVfh8Pi5cGKPT80xi7YFT7wIxLmaXD0HH1aQu6autxfXiiyBFeuHL/f3Yv/99ZO/Y5fEKk0cRMuNHETIK48JtH9skKhFCjf+A/p6BmM3turq66O8JdFGz2+1YrdZJr52M458sly5d4r333kMQBJ544glKSkpm+pCSxrFjx3jrrbeQZZl7772X22+/fVaJmCA1N7oX19ZG66A+C7h6PHYtbmjO0bBvY0Y0ExgDcL/11phryj09eA8dSvw1KEwIRciMHyVHRmFcRPtwpUh2rCrzmD+X4o9s/Ge328lIz4hqHhUcy0jPYKDbgclkwmwOrLEkw8253rH365dmRN8ymOmTQ3NzM7/+9a8BuP/++6muTq73x0whyzKffvopn3zyCYIg8PDDD7N27dqZPqyYVFVVYTAYaG5uZmBggIyMjJk+pHD62+LP6Ruek4hFfqwxrVaLLMv4Tp2Ku6Tv5Em0t98+sdekkBCKkBk/ipBRmDQ5vv4xhYwo+8n0D/enDzb+s1qtrL9v5ZjN7Z5//nlOfnAes9kcqua5vcg2ppAxqCW2FMTvqjzd9PT0hAzvbr75ZjZunB8VCbIs8+GHH3LkyBFEUeQLX/gCy5ZNXTJqMlCr1axcuZLjx49TW1vLbbfdNtOHFE4i3aVHzEnEIj/WWHFxcSASk8iF0z87tmanE8HjpNQgk6Zyg+Sf0s7fsiShvXiRDR0dZAoCUl8fYtbYOYgKytaSQhJIlewUejujnghF2U+Fpxk14fvuKpWKjIyMMc2jgmMZGRlhJclLM908vtiCECV/QK+SeGFVL0bN7LqbGRoaCpUh19TUcMcdd8z0ISUFSZJ4++23OXLkCBqNhmeffXbWi5ggwe2ls2fPzr6738Il45oTtMgHQhHNRMcg0F9IVRXZu2k0qnkSQUwItx2O/JL0g//BV0v8PJbSA7/5P3D5s8RE3zjxnT3L0De+gfnf/52b29pYfvw4Q1//Oo5/+RclNykOSkRGISnk+vpI8dvpFtLodvoRgUUmgWzfABqi23xPhjtLbCzJcLO/2cCFDg9qEbaWadm2yEa6LjJZcSYJGt4NDg5SWVnJww8/PCvzRsaLz+fjzTff5OLFi+j1ep599tmoXZZnK4WFhWRnZ9Pb20tzc/Psas5Zvg4ufgoeR/THVWpYsiX0baIW+bHGALQPPoizvj72MRkMaOeZ43RMPE7Y959g7SHsk+ocgjMfgN0C6x9M2nL+q1exf//7kY0q/X68e/eC243x//l/krbefEOJyCgkDaPsosDZTPfen2L7/BcU+HqmRMQEKU718tTiHm52/ZK7hPd5sMI660SM3+/n9ddfp6uri/z8fJ588sl5YXjn8Xh47bXXuHjxIiaTia985StzSsRAIBdh1ib96oxw6/OB/0ej0sBNT4M5vFdUIhb5scYAtHfcgeaee6Ifj0aD8b/9N4SFYo5XfzhQORaLK0dgsDvu04xOrI6VaO16440xu217Dx7E39wc8/GFjiJkFBSmCFmW2bNnD42NjaSnp88bwzuXy8XLL78cMvLbuXMn+fn5M31YE2L16tUAXLhwAe9sC99nFcFDfwjrH+aqS0udTcCz7DZ45I9g0dRs8Rj/4A8w/umf4l26FJdKhUuvR3vvvaT80z+hmWdNTMekIX7iMw0nw76NJlpGWkrYbLYIiwkA2eXCd+xY3OW8Bw6M/3UsEBQho6AwRezbt49z585hMBh47rnn5oXVu81m46c//SktLS1kZ2fzta99jaw5nIxoNpupqKjA4/Fw+fLlmT6cSDQ6qNrEe9Y0XmtT4V28BXRT606tuekmrN/+Nj9au5b9X/gCht//fVTzyCIgLrIEjsH48+yW0JfRfLBGJ2DX1dVFTb6Wnc6EkqjloaHxv5YFgiJkFBSmgKNHj/LZZ5+hVqv54he/OC8M7wYHB9m1axddXV0UFBTw1a9+NVQSP5eZtdtLI5juktyRvZ0WHIII2gTaMYzY9otWNTY6sXrp0qXRE61TUsAUX5yKczTqOR0oyb4KCknm4sWLfPDBByHDu7mWOxKN3t5eXnrpJaxWKyUlJXzxi19Er9fP9GElherqarRaLQ0NDQwNDc3qVhHTJWSkG+6+C1LIAJTWBPJgxqJsTejLoGgZ6YMVLQE7WqK1oNGgvf12PO+8E3sttRrNQkm0ngCKkFFQSCLXr18PGd498MAD88LwrqOjg5dffhmHw0FVVRVPPvkkGo1mpg8raWi1WpYvX86ZM2c4e/Ys27Ztm+lDimCmIjKzpT/WtFO9DZrPgjtG1VjBEsgZrnKLJVKCidUj50W7sdE9/TS+EyeQOjujLqf/8pcR06I3ylVQtpYUpgAfGvzy9N3JCWrtlJpUJUpPTw+vvfYafr+fW265hQ0bNsz0IU2a69ev87Of/QyHw8HKlSt5+umn55WICTJye2nWecowLCiUraVpwpQOt38N0kdt5whiIBKz7emIH4lVDZYIYno6pr/9WzS33YasHo4viMXFGP7wD9E99ti4n3MhoURkFJKCJMPBNhMHWnLpNn4dgPOnXNxZYmNltivp68lAryqTntQMFj22DoCrfhu5vj7Mki3p68XDarXy8ssv43K5WLNmDbfPAxv3K1eu8MYbb+Dz+Vi/fj0PPPDAvL1DLy0tJT09nZ6eHjo6OigsLJzpQwpDicjMAOl5cN/vYW04z6Hf/AJTqplbn/kGGKcmL0zMzMT4R3+E9dFHeetHPyKnuJgnvvOdKVlrvrGA/0oVkoUkw0/OZ/KL+gy6ncN3I/UWPT88m83HLcmt1pGBJm0RbdoCPKrhPA2bKoUGXSndqsykrhcPl8vFK6+8gtVqZfHixTz00ENz3vDu/PnzvPbaa/h8PrZt28aDDz44ry9qgiCESrHPnDkzswcTBSXZd+bwpRdy3CJy2ZsyZSJmJEJKCl0pKVhnca7WbGP+npkUpo2jnUZO90Qx7rrBr6+k0etM3gmxX5XOoCr2fnG7Jh+3MD3bHz6fL2R4V1BQMC8M706ePMmvfvUrJEnizjvv5K677przwiwRgttL58+fD13IZxqfX2bvKQ8H2m7i5NBDvPQJdFum1vTRd+EC2Xv28PDVq5QfPIj/6tUpXU8hHKVp5PhRhIzCpDnUNnbpoIzAobbwqIzf72dgYCDM4TKa66XH42FgYCDswtKnjtOpWBDom4aoTNDwrqmpifT0dJ599tkJ7Y/PJj777DPeuVE98eCDD3LzzTfP8BFNH5mZmRQXF+N0Orly5cpMHw7tfRJf/Bsbf/4zJw3WUrq8i9l9QOTR7w/x1uexXWAniuz1Yv/rv8b+J39C+unTVFos5J09i+2738Xxz/+MLM0u1+z5SlDISMr7nTBKjozCpGmzxY9+jJzj9/s5ePAgdrudiz2n+dZ/eQGAF198MVS++MILgbGXXnqJgXoHJpOJ7du3o1KpcArxy36d4tQ76O7du5fz589jNBr50pe+NKcN72RZ5uOPP+bQoUOIosijjz7KqlWrZvqwpp2amhpaWlqora2d0YozvyTzh/9up7k78mLml+Bv3nBSlC2yYUnyTuGuf/93fEePRn3M+9FHiNnZ6J97LmnrKURnIUQ/k40SkVEYF9E+ZFoxfghUqxo+IVutVux2OwADlgG6urqiGkp1dXUxMDAAgN1ux2q1AiAS/05FjNIZO5kcOXKEw4cPhwzv5rK7rSzLvPfeexw6dAi1Ws3TTz+9IEUMwIoVK1Cr1dTX1+NwxCi9nQYOXfDR2Bn771yW4eWP3RHjifT2iTYmDQ7i2bdvzGPyvPsusjtyTYXkomwtjR8lIqMwLnSmyK2TmhwXn3eMvb1UkzNcuWQ2mzGZTNjtdjJzMkIOl6MNpQAyMjIY6AlEZIIusmn+IfrjbC+l+a3jel3j4cKFC/z2t79FEASefPJJioqKpmytqcbv97Nnzx7OnTuHVqvli1/8ImVlZTN9WDOGXq+nurqa8+fPc+7cOTZv3jwjx3HofPy+T0cv+/D5ZdSqwIUvaJMf/Azt3LmTXbt2RUQ5R0c+tVotvtOnIU6vKXloCP+lS6jXrJn061OIjSJkxo8iZBTGhVqrQqNT43UPd7W+vXiI411GvFL0kGiOwcva3OG7W5VKxfbt27G7bNz8hQ2hvJJohlLPP/88Jz84j9lsDiXR5vj6GFClIQvRA4payU36FAmZpqYm3nzzTSCQQ7JkyZIpWWc68Hq9/PKXv6S+vh6DwcCXvvSlWVd2PBPU1NRw/vx5amtrZ0zIeBPINZZk8PlBfSO3PNHePqPHiouLwZdYl3o5wXnzikuXWNfZicnpROrqQrxxkzUluB3or5/kiQI/Wn0fXD8LRctBpVyqx0LZWlIYN8b08D4khSk+fndVLwZ1ZCg83+jl99f0ohn1l6ZSqSiuKApLjo1mKKXVasnIyAirBDLIbso9zajkyLO9TnJR6bk+JVtL3d3dIcO77du3s379+qSvMV243W5eeeUV6uvrSU1NZefOnYqIuUFFRQUpKSl0dHTQ3d09I8ewrDh+5Vt5voheO3zzkEhvn9FzgpFP1eLF8Q9KpUJVXj7elzJn8Tc0MPTtb6P6m79he2sr6y9cYOh3fxfH3/99oNFjsmm9CG//A8a6g6w0yyzROuDwL+C9fwFrT/LXm0coMk9h3OQvzmKwK7wT6/IsN399UweH27QcqetFqxa5Z3UWK7JciDFy1/IXTzyvxCzZWe6qp0c2ca3LgloUqM43Y5ZsTEWqnNVqZffu3bjdbtasWcNtt902BatMDw6Hg927d9Pe3k5GRgZf/vKXSU9Pn+nDmjWIosiqVas4fPgwtbW13H333dN+DA9u0vLDd1w4xyhOeuLm8G3eRHv7RBtTlZWhWrEC/4ULMddTb96MOIdzwcaD1NmJ/c//PLLjtCThPXgQ2WrF9Fd/lbwFBzrg8zdAihKKsw/A/p/Dg98B1fxz1U4GSkRGYdykZpsw50TmxOjVMjflW1nlOcB64RirsmOLGHOOidTs+B1fx0KFRIanl4ET7+O8cIC0KRIxLpeL3bt3Y7VaqaqqmtOGd1arlZ/+9Ke0t7eTm5vL1772tXkvYiaSa7DmRh7IuXPnZqQMNsUg8P3njWhiBGZuW63m8W2R+Wqjo5qxopzRrPQN3/kOQmZ02wKxsBDDN785wVcz93C/9VakiBmB78wZfOfOhY0lmlgdbYy6z6OLmCAOC1w/F/vxBY4SkVGYEMWrCqg71IjPM37jMLVWRfGqgik4quTj8/l47bXX6O7uprCwkC984Qtz1vCuv7+fl156CYvFQlFREc8++ywGgyH+Dy5AcnNzKSgooKOjg4aGBhYnsvWSZG5dreHH303h1U/cfHTaiV8SKc+Teeb2FB7arEEV6y5hgqgKC0n5x3/E/fbb2N5/H43DgS8tjZQHH0T70EOIC8hp1rN/f/w5Bw6gvlHdNzrROlZidbQxrVYLbZfjH1T7ZahYN+HXNJ9RhIzChDCk6liyrYz6z5rGJWbUWhVLtpVhSJ16n5fJIssyb731FtevXycjI2NOG951d3fz0ksvYbPZqKio4Omnn56zr2W6qKmpoaOjg9ra2hkRMgDVxSq+/2Uji4Vf0dDQwNe//HWKiqbO7FHMzMTw1a9yID+fo0eP8sgjj7B27dopW282Ivv9cMMeYsx51uGCgmj2EcGv440VFxePHY0JMkvcpmcjytaSwoQxmvUsvbk86jZTNMy5KSy9uRyjOb6h3Wzgww8/5MKFCyHDO5NpclthM0Vrayu7du3CZrNRXV3NF7/4RUXEJMDKlSsRRZHLly/jciW/8el4mO6S3OA6c3ULdTIIKhVCTk7ceSOrl6IlUSc6BkBGAhHqROYsUJSIjMKkMKTqWHJTGUO9djqv9tHfGV6eqdGpMaYbyF+cNemcmOnk8OHDHDlyBI1Gw7PPPhs6+cw1GhoaeO211/B6vaxZs4aHH354Xjd/TCYmk4mqqirq6uq4ePEi69bNXFh/um3rF7KQAdDecw/u3bvHnnPvvcNfjyOxOtoYizdBb3PsxQQRKjdM7kXNYxQho5AUUrMDybs2Wybvn3ahNZtYc381au3cyyc5f/48H374YcjwbtGiRTN9SBPi8uXL/PKXv8Tv97N582buvffeBXthmig1NTXU1dVRW1s7K4TMdEVkgoJpof696B55BO9nnyE1NUV9XPvoo6hGGWEGk6gnMkbpaui8Ak21UVYTYMPDYEof56tYOChCRiG5eJyUmyRMJg9q1dSfdFVuB0VuCzrRA37fpI2jGhsbeeuttwB46KGHqKqqSsJRTj+1tbXs2bMHWZa59dZbufXWWxfsRWkyVFVVYTAYaG5uZmBggIyMOA1Lpwhla2l6EYxGUv73/8b5k5/gOXAA4UaFkZCbi+7RR9E9/HCSFxRg8xOQW4FUdxhxsBO/DKpFS6F6G+QuHP+eiaAIGYXk4HHC6fcxXT/HV0okYADe/gdYsgWWbw+ERpOI6HaQc+RdUhpqWeb3wQD4Xr2IZcVWBtbcPqH1urq6eP311/H7/dx2220zegc+GY4ePcoHH3wAwL333suWLVtm+IjmLmq1mpUrV3L8+HFqa2tnxD/Id/kyy06dorSnB92HHyI99RTiVAqq3haWu69TlO8np/cSOMvAsHAqloIIKSkYv/MdXI89xi//5V9Iz8nhyf/23xCmamtWEKBiHZ7C5fzd3/4NqWYz3/3il6ZmrXmGImQUJo/XDR//BCyd4T4ubjuc2we2Adj8WNKWEzxuit79D3T9HWHjapeN7JN70Qz10739yXE95+DgYMjwbt26dWzfvj1pxztdyLLMwYMH2b9/P4Ig8Mgjj4T8UBQmTk1NTUjITGdkS3Y6cfzt3+I7eZLQ/fg77zD0wQfov/pVdDt2JHdBrxs+fx06rlAJkAZ0nYPfXISae2DpTcldb65gMtGRkoKcljZ1ImYEgiAgI6C0WkocJetPYfJcPQaWztiPN56CvtakLZd+6UiEiBlJWv1JdN0tCT+f0+lk9+7dDA0NsWTJEh588ME5F1KXZZkPP/yQ/fv3o1KpePLJJxURkyQKCwvJzs7GYrHQ3DxGQmaScfzjP+I7eTLyAZ8P149/jOfTT5O74NFfQ8eVyHHJD6ffh2bFkG06UJpGjh9FyChMnoYoJ9s4c8bjgjkwMIB/hIeCuf543OXSEpgDAcO7119/nZ6eHhYtWsQTTzwx56p6JEni7bffDquyWrZs2Uwf1rxBEARqamqAQO7RdOBvacF3+PCYc9y//GXE2OjPUMLOstaeQK+fsbiUZOGkEBVFyIwfZWtJYfLYBxOYYwl9OR4XzJdeeomBegcmk4nt27ejUqlQ2yxRFggnkTmyLPPmm29y/fp1MjMz56S/is/n49e//jWXLl1Cr9fz7LPPRlZEKEya1atXs2/fPi5cuMD999+PRjO1PW+8R47EnSM1NCB1diLm5wORn6udO3eya9euxJxl44kYCPQDsg1AyswkPC8UFCEzfubWrafC7ERnHNecaC6YscYGLAMA2O12rDecNP36+H40/hjHNPIk8cEHH3Dx4kVMJhPPPffcnDO883g8vPrqq1y6dAmTycRXv/pVRcRMEWazmYqKCjweD5cvJ2AnP1nc7oSmySPmjf4M1dXVJfQ5A8DnTey4/GN0sVRICoqQGT+KkFGYPGU1CcxZE/pyXC6YOYG7P5PJhNlsBmBocXzL9KGq6BVHOlMg4nL48GGOHTs2Zw3vnE4nL7/8Mg0NDaSlpfG1r31t2CVUYUqYzu0lVVlZ/ElG45juskuXLk3cWTY9P/56Gh2YlGjMVKMImfGjbC0pTJ4lW6HpDDhjdIvNrYD84V4143HB/Oa3X+DQL09g0qeEmjVaVmzDfOUUaoc1ci3AUViJY1Gk/4tGp0atVXHu3Dn27t2LIAg89dRTFBYWTuLFTz82m42XX36Zrq4usrOzef7550MiT2HqWLZsGe+++y4NDQ1YrdYpfc/VW7YgZGYi34ieREN7++0I+uF2H9E+Vwk7yxYtA30quGJ3fKZsDajn1tbrZJGsVoT33+e+hga0nZ14Dx9GvWkTwlQ1jrV0ItQf4ffLfQiCHY7tgSWbExOaCxglIqMweQypcMfXITPc6VKSoV2dBbc8G/BIGEHQ3XJkTkrMsYqisI7TfmMqrQ/+Lq6c8G0UWRAZqqyh/e4vR6wHYEw3hBnePfLIIzPWDHCiWCwWdu3aRVdXFwUFBXz1q19VRMw0odFoWL58ObIsc+7c1FbwCGo1xu9+F2LkbIllZei/FOkxMvozlOjnDFEFW56IbSiZlger7pz4C5qDeD79lKGdOxFfe43q/n4qWltx/OAH2H7/95GCW3LJpOEU/PaHCA0nydJCpkaGhhPw2x8GHlOIiSJkFJJDahbc8wLc801Y/xCOFXfzzw0qfnbFiXuS7WHyF2dFjHnTsmnZ8Xs07/h9PklbzN60xTQ9/T06b/8isiZ6Z20xzc/rr7+OJEncfvvtc648ube3N5S8WVpayle+8pU5l9cz1xm5vTTVoX/1mjWk/N3fobnlFqQblXT+1FR0Tz1Fyt/8DUJKSnIXzK+Eu74BJSuRbjhC+dR6WH4r3Pk7oDUkd71ZjK+uDuf/+T/gicwJklpbsf+P/xHokp0sBrvg+B6Qo5wsZSnw2OAUiKd5giJkFJJL5iKo2oxx1XYKKqvxeDyTzilIzTbF7LDtzinigrmY84Z8vKa0mM+hMsJb7/0at9vN+vXrueWWWyZ1TNNNR0cHu3btwmq1UlVVxXPPPYdOF12wKUwdpaWlpKen09PTQ0dHbC+jZKGqrMT4ve+x/0tf4odr1tDzF3+B/vnnEaZKwGYUwk1Ps0ezmr+5ouLayidg9V2gnRsd65OF5803YQyhIrW14RtVWTYeS4mI8vcrx6KLmCCyFJijEBVFyChMGRs3bgTg+PHjk757LV5VELMBZdD3JVZnYFmQOHR+PzabjaVLl/LAAw/MKcO769ev87Of/QyHw8HKlSt5+umnp7z8VyE6giCwevVqAM6cOTNt68oqFW61GqbJ40gWRNySEHWLdiHgPRZfNIwskQ+Wvv/kJz/hxRdfxOPxJDwGQE9T/INKZM4CRREyClNGRUUFWVlZ9Pb20hSji2yiGFJ1LNlWFlXMjCVkRLVAbftx+q29FBUVzTnDuytXrvDyyy+HIkmPPfZYWL6QwvQT3F46f/58mFGjwvxAliTw+eLP8w6XrI/HUiJq+bvCpJg7Z3SFOYcgCKGozLEE7nDiYTTrWXpzecQ2kyooZEZdVFKzjdT1n6Wtq4WsrCy++MUvzqlIxvnz53nttdfw+XzcfPPNPPjgg3NKhM1XMjMzKSkpwel0Ul9fP9OHo5BkBFFETKD8XVU+3JF6XJYS0crf8yrjH1gicxYoSvm1wpRSU1PDvn37qKurY3BwkLS02HksiWBI1bHkpjKGeu10Xu3DYXGGGrn5JQmNTo0x3UBeZSaHjh+kvqEuZHhnNCZg3DdLOHnyJO+88w4Ad955JzfffPMMH5HCSGpqamhububs2bNKO4h5iPb++3H927/FnqBWo73nnuH54yh1j1r+vnhToGedFCPCJ6oCcxSiotzeKUwper2e1atXI8syJ06cSNrzpmabqNpSQs19S0ldooZcN0tvC3xftaWEc/W1HD9+HK1Wy3PPPUdGxtwx8jp06FBIxDz44IOKiJmFLF++HLVaTX19PQ6HY6YPRyHJaO+5B/XWrdEfFEUMv//7iKPOKeOylBhd/m7ODpS/i1G2jYOl8ebsSb2m+YwiZBSmnE2bAncSp06dwpfA3vN40eg0CFoZWQgkFJ89e5aPPvoIURR56qmnKCgoSPqaU4Esy3z00Ufs27cPURR54okn2LBhw0wflkIU9Ho91dXVSJI05Z4yCtOPoFJh/OM/Rv+tbyEXBfyxJEFAvXkzph/8AO2dU+CpU7IK7v8OLN1Gp1uk3QXy0psCYyWrkr/ePEIRMgpTTm5uLmVlZTgcDi5cuJD05w8mv/r9fq5du8aePXuAgOFdZeXc2FeWZZl3332Xzz77DLVazTPPPMPKlStn+rAUxmBaWhZ43XDlKNu99bxQ6qOw8SB0XJ2y5WSnE/e777Luvfd47sIF0n/2M7ynFqYZm6BSoXvgAaT/9b/4l3XreOOBBzD9+Z+jXrFi6hZNzYS19/GzTiP/cV2NXHNvYExhTJQcGYVpYePGjTQ1NXH8+PHQBSBZqNWBP+PW1lY+/vhjJEnijjvuSPo6U4Xf7+ett97i/PnzaLVann32WUpLS2f6sBTiUFFRQUpKCh0dHXR3d5Obm5vcBWwDsP+nYOsnG0APWJrhwM8C/c02Pw5C8u5Fpa4u7H/xF0gdHYQ2Tc6dw3HuHJrbb8fwX/9rKB9toSGJ4rSWoiv9lsbHwvyrVJh2li5dSmpqKm1tbbS1tSX1uYMRmQ8++ACPx8OGDRvmTF6J1+vl9ddf5/z58xiNRr7yla8oImaOIIpiyFNmSqIyn70Gthi9lppqoe7zpC7n+Ju/QYph8uf95BM8N1p7KEw9ipAZH4qQUZgWVCpVKN/j+PHjSX1u7wg/h+rqau6///45YXjndrvZvXs3V65cwWw2s3PnzjnXwHKhE4z6nT17NqYh44ToboKB9rHn1B+JcIMd7RqbqLOs78IF/FfH3rJyv/NOwGNFYcoJnr+S+jc1j1G2lhSmjXXr1nHgwAHOnz/PPffck5RyaK/Xy7Vr10LfP/7443PCa8XhcPDyyy/T0dFBZmYmzz//POnp6TN9WArjJDc3l4KCAjo6OmhoaEheE9LuhvhzHIMw1AfmHGDYXba/v5/MzEx27twZ6s2VmZnJCy+8ABA254UXXkCr1eI7ezbucnJPD1J7O6qiorhzFSbHXLgRm03M/jO+wrwhJSWFFStW4Pf7OZWEBEJJkvj1r38d+v6+++6bE4Z3VquVXbt20dHRQV5eHjt37lREzBxmSpJ+J7CjMNo1tq6uLnFn2US3MJStjmlB2VoaH4qQUZhWgk6/J06cmFTYVJZl3n//fS5fvhwaC/NlmKX09/fzk5/8hN7eQMuEr3zlK6Qku4uxwrSycuVKRFHk8uXLuFyu5Dxpbln8OQYzpAxXtIx2jV26dGnCzrKJVOIIWVmIytbntKCRJHQ+nyJkEkTZWlKYVoqKisjPz6ezs5P6+nqqq6sn9DyHDh3ixIkTIXOpa9euTYlHTTLp6uripZdewm63U1FRwdNPPz0nxNdcRrJaMR8+zPaWFrJEEWndOsT8/KSuYTKZqKqqoq6ujosXL7Ju3brJP2leBaTlweAYvXgWbwwzUIvmLpuos6y6pgaxrAxpjJ5o2vvvR1hofb56rmO68Cm/V+5DUHXB2Y8C77txcg7lsfAeP477zTf58g1vIvd3voPw0ENoH3xw4b3340CQFcmnMM2cPn2at99+m4qKCp5//vlx/3xtbS1vvfUWoijy3HPPcf36dQ4ePMi9997Lli1bpuCII3H7PbTaOxjy2rB6bXglLya1EZPaSLY+k3xDTtg+d0tLC6+88goul4tly5bx+OOPh8rGFaYG9549uH7+cxiR1Iooor37bvTf+lZSLwyXLl3ijTfeoKSkhJ07dybnSa298MkucFojHytaDjc9Fd0JdoL429qw//mfI/f2RjymvukmjN/73sK6mJ79CC4eiBzX6OCWLyUWNRsH7j17cP34x1EfU2/divGP/3hhvf/jQDmTKkw7K1euZO/evTQ0NNDb20t2duLW29euXePtt98GYMeOHVRUVNDa2gowLREZr+TlmvU6DUPN+OTw9ey+gFV9o60ZsyaVJWnlFBrzuXbtGq+//jper5c1a9bw8MMPz4mE5LmM5+OPo18UJAnPb38LOh2Gb3wjaetVVVVhMBhobm5mYGAgOS0xzNlw3+9BwyksZw8iuZ1oswpJqbkVFlUn1UMGQLVoESn/8i949+6le88eJLsdQ1kZGU88gXrz5oXlIdN6MbqIgYBJ4aFX4OE/CoiaJCB1duL6yU9iPu47fBjvJ5+gveuupKw331hAf5kKswWNRsOaNWuA8ZVid3R08MYbbyBJEnfddVfIwyMY2ZhqIeP0uTjYeZR6a0OEiBmN1TvEid6zvHP6t7z66qt4vV42b97MI488MikRc67Jx/94ycETfzXE0z8Y4h9/7aSlJ0ajuQWKLMu433hjzDme999HGhxM2ppqtTrkxJzUpF+dEZbdzMeaav61UU3b4jsC0Zgki5ggYmoquscf5/iOHfx01SoGvvENNFu3LiwRA4HS9rHwOKHpTPhQgqXuUcc++ADi5Ax63n8/8eNfYCgRGYUZYePGjRw+fJja2lruuOMOdLqx72wGBgbYvXs3Ho+HTZs2cdNNN4UeG9miYKpw+d0c7j4ZirokQmtLK7W1tRgNOnasf4Bbb711UmWVP9vr4t/ecYeNNXV5ePNzDz/4qpGbV87+iq3xIEkSPp8Pr9cb8X+0seD/mvZ2lsUzXfR68R09GtbBeLLU1NRw/PhxamtrJ/27VphBZBl6rsef190EVZuByNL3WKXu0ca0Wi3+MXKTgvgbGyf6iuY9ipBRmBEyMjJYsmQJ9fX1nD17NlTNFA2Hw8Hu3bux2+0sW7aMe++9N+wiMR0RmZO9Z7H57NEflGUEv4SsHt6/bmxoDPWVKttQSeX6JZO6sJ2o90WImCBuL/zZzxz8+i9SyTJP3Z2zJEkJi4lYwiPReV6vd8JVbYVDQyxLYJ7sdE7o+WOuW1hIdnY2vb29NDc3Kw7N850RH+dYZe2JjBUXF0OcGzkAQa9P5tHPKxQhozBjbNy4kfr6eo4fP86GDRuiXui9Xi+vvvoqfX19lJSU8Nhjj0VszQSFzFRFZHpcffS5ByLGje19FH90ipxTV1F5fbgyU+nYtoL9RSYuNjYgCAI1NTUUFRdRN3iNQlMeKmFiyXqvH4wuYoK4PPDqvgEe3+weV/RipLiIN286XUZVKhU6nQ6NRoNarUaj0YR9PfL/0WM6lwv5yhWEOMcrJtnYLfj73rdvH2fOnFGEzFxFEAKJvF1xTAlzK0JfBsvag5GWYFl7omOarVvxfT52ywn11q0Tf03zHEXIKMwYlZWVZGZm0tPTQ1NTE+Xle8/segAArqdJREFU5WGPS5LEr371K1pbW8nOzuaZZ56JangX3FqaqohM/WDkCS2tvpVVP/wNKs/wmvr+Icp/cwRVmpaGzYtYuXk9+TdKfR1+Jy22dspSiyd0DGeuxRdp7x9qo+/smxN6/nio1Wq0Wm1MMTFaVMSbN5ZAUavVk06Gth8/ju/w4ZiPC3l5qNeundQa0Vi9ejX79u3j4sWLPPDAA3PCoFEhCktuGlvI6IyBxp03GE+pe7QxzbZtuF97DSnWlqhWi27HjuS8tnmIImQUZgxBENi4cSO//e1vOX78eJiQkWWZ9957j7q6OlJTU/nSl76EwWCI+jxTGZHxSt6IaIzg97Pspx+GiZiRlAx6eH5IR8cov5Jed/+EhUwi6PQ6SktLw8TBeEVErP/nWr6H4etfx1ZXh9wfpemiVovxO9+ZkgRWs9lMRUUFDQ0NXL58mVWrViV9DYVpYNFSWHkHnP848jGNHm55DtThHlBBT6uJjAkaDabvfx/7//yfSM3N4euZTBi/9z1UJSUTfz3zHEXIKMwoa9as4dX3r/LSsSX8x+lB1CqBrcvUVKWep/70SXQ6Hc899xxpabENqKYyImP3ReZRZNU2ohuMkS9zg/KzTXR6fcia4Y+Y1WOb8HFsXKJm3xnvmHMeu6OM5+9cOuE15hNiXh4p//APuF59Fe+BAwEvGVFEvWEDumeeQV1VNWVr19TU0NDQQG1tbVKFjDiRvgWTWW+hNyxceTsUVOG+8CmWxosIKg25a26Byg1gSE36cmJeHin/+q/4Tp2i9qc/xWW3s+Lhh0l/4AElPyYOipBRmFF+/KHMEcvDgW+8ADLvHvMisJi1qUv53pc3h/aRYzGVERm7N7JKKaW1J+7Paewu9P1DOPOG/UTsPgeSLCFOoHT26Vu1fFzrjdnqxqiDR7Yo2xgjEXNyMH7nO8i/+7vIFgtCSgrCNLSDWLZsGe+++y4NDQ1YrVbMZvPEn8zaA5cO8YinlseXSnguvAn+rbBka0REIBn4W1pwv/kmt37yCXf6fPgaG3E9/DC6hx9emBfTrCLsK+/lR5/Uk5+fxwsrb5/S5QRRRLNhA6dOnaKjo4Plt922MN/3cbLAzAEUZhOHLnh5aZ8n6mMyKs7a78OUET9hciqrlrxS5HNKmsQSdiVN+H2CjIwkT+wut6ZCzR89rifaDo9RB3/3dRNpJuXjHA1Br0fMz58WEQMBn6Tly5cjyzJnE+gqHZOe6/Dhj6DxFGoCfzdajz3gOPvxTwLGbEnEd+ECtj/6I7x796K+8VlSDwzg/vnPsf/3/47sSNx6QGFyKE0jx4dy5lOYMX75aXQRE8QnCbz1+dhzYGq3lqIJh75V5ZGDoxgqysadGRl+liexPfDkdh0vfy+Fu1e7Mau6yTNZ+Nq9Ol7/76lsXKoEV2cTQcPH2traiV2MJAk+fwN8Mf7++9vg3L6JH+AoZL8fxz/8A8QoSfdfuYJr9+6kracwNoqQGR+KkFGYMc41xRce55ribxdN5daSGOUjYi/KoX/52Il3LXevjzouTfLEtLhQxVe2D3Jz2is8v/YYLzygJzdd+RjPNkpKSkhPT6e3t5eOjo7xP0H75eg9lkbSeBp84XlTo11jE3WW9R07FrXHUthz79uH7E5uFEghOkEhM52WB3MZ5TZOYcZQiQLEiVCoErhGT21EJnq1zsWd97HyxXdIv9oeNi6LAo0Pb6Vnw5KoPzeZiEyQ4OtUSntnL4IgsHr1ag4ePMiZM2coLCwc3xMMJCB+vC6wD0BaLhDpLrtz50527dqVmLPstWvx17Pbkbq6lOqZaWCuVQnONMqtnMKMsaU6vo7euiz+nKmMyAhEP6H4jTpqv/sEtd95lPPLCjiTb+LctmqOfv8rtNwTPRoDyQkVe72Bu3Cle/bspqYm4DNy/vz58f9tJtrVWjX8NzDaXbauri7CRTaWAy0JimJBm/wEY4VIlK2l8aEIGYUZ45lbtWNGXNJMAg9uin/inMpk33g3RpalxRy4tZrda3I5e8uyqHkxI0lGRCYoZJSIzOwmMzOTkpISnE4n9fX14/vhRQk0WUjLhZTM0LdBd9ng2kuXLg37Pi8vL2JOyFl2y5a4y4mlpYijvJEWClpBnrbyd9nvJ7O/n2KrFbmvb1rWnOsot3QKM8byUjV//kUDf/2qE/+oreA0k8D/+7tGUgzxQ6xTurWUgNYfz91TMiMyipCZ/dTU1NDc3ExtbS3LliXSAeoG6XlQsAQ6xhBA1beEfRvNXTZRZ1lVaSnqDRvwnTgRcznd448nfvzzAckPV46SVneYP13iR5bbYP/PoPpmyK+ckiXd772H+5e/5LaegMWD/Kd/in3jRgzf+AZiHBuKhYwSkVGYUR7YpOVXf5HKV+7Ssb5Kxaalav7rY3p+9eeprCxLTGdPabJvAnvVgjgOIaPkyCwoli9fjlqt5sqVK9jtY5soRrD1C5BTFjkuCLDqTihfE/FQ0DU2KFBGfx9rDMD4R3+EasWKyPVEEd2XvoT2jjvGd/xzGckPh16B0++jcliAG9HZzqsBMXMttuCbKK7XXsP1wx8i9wz7VAmShO/oUWx//MdIcZKxFzJKREZhxinIFPn2wxM3fZraiEwCQobpFTJKjszcQa/XU11dzfnz5zl//jybN29O/Ie1Brjz69DVQOOBt7Fb+imoWkHWxnsgJSP+z48TISWFlL/5G3y1tdT//OfYe3ooXLeOgi9+ceFFA66dhPZY0TAZTr4DhUuT5vAr9ffjfv31mI/LfX2433gDw7e/nZT15htKREZhziMIAiqVaoqaRiYgZIKlkgmY3SlbSwuPYNJvbW3txJ4gr4LT6hJ+1aGit3DNlIiYkahrari8bRvvVVZiu//+hSdiAK4eG/txyR8RlUm01D3amPfjjyHO+cuzfz+yd+w2JQsV5ZZOYV6gUqnweDzIspzU0sVxbS1J8UWKpCT7xkSSZGRJQvLLSP4bX0sysl9GkmQkv4R8438AjV6D1qBGZ5zdlTQVFRWkpKTQ0dFBd3c3ubm5M31ICmMhSzDYHX+epTP05ejS91il7tHGtFotUncC6zmdyENDCJmZ8ecuMBQhozAvUKvVeDwe/H5/UrdcEtlaCvZOmq5k3+nMkZEkGbfdg9/rvyEqpBuiYqTouCEwQqJDuvF44LF4oiQ4d6LvjcGsJ6sojeyyDNQJto+YTkRRZPXq1Xz++efU1tZy9913z/QhKYyFIIJKBf44EV7V8OcvVll7ImPFxcUIYzTFDaFWIxiN4301CwJFyCjMC0bmySRVyCQSkRlH1dKnXUcRERGFwD+VMOJrxMA2maBCFITQuEhwngpREGn1dWIzOLELTjx+L1pVcgWNz+un62ov1h47TqsLyT+7vSycVhetF110N/ZTtm4R5mzTTB9SBDU1NXz++eecPXuWO++8E1FUdvVnNYuWQfO5secUDVehBcvag5GWYFl7omOa228P5MiMcQ7R3HST0kAyBoqQUZgXTJWXTELJvuM0r5KQAvk0E9QHnXIvgyYH5531dLT1kalNZ1l6FVn6yeVOSJJMT2M/HfU9+DzJrwCbajxOL/WfNVG0PI/8quyZPpwwcnNzKSgooKOjg4aGBhYvXjzTh6QwFtXboPViIBcmGuacMK+f8ZS6Ry1/LyxEc/fdeD/8MPp6BgO6p55K3uubZyi3BQrzgqkqwU52RCYZBPuvBKNQ/R4Ln3Uf53jPGbzSxJIBZVnm+pl2Ws53zkkRM5LWi100n+2Yda6ok076VZg+MhfBTU+BOkr+VXoe3PoVGBVVS7TUPVb5u+Hb30a7YweMGheLizH91V+hKi1NwgubnygRGYV5wVSVYItTEJGZLEGxFnzNQTqc3bi7PWzJXY86UYv7G7Sc76SvxZKsQ5wyXD6BMz0GLG4VZq2ftblODOrI9727sR+Py0v5uiJU6tlxv7Zq1So+/PBDLl++jMvlQj+ObQK/kIImZREe//TkAPU5jAz48rE6Zsd7NyMULYcdFdgvfE790f3o9EaW3/04FFTFt/yeAIJKheF3fgfd00/z2f/9v/S2trJ+xw5K7rkn6WvNNxQhozAvmKmIjCxDZ3c+vRYj+nYz5ZUiWs3UdqyNJWQgEJ053nOGzblrQ0nI8bB0DtHd0B/1MbXswiQFbNJtYg5+YeYqhPa3mvjNtTRc/uHX9Yt6ifvKhri3bChivqVjiPrPm1i8uQSNbuZPdUajkaqqKurq6rh48SLr1q2L+zNNXXCqAQZN95C7Co61ynR5YNMSME9B3uf+Wi8//q2LK21bga0c+7nM9tN2/uARA4uyF6Co0ehxl6zh7T2fkp+fwfLC6M1gk4mYmkpHZSWXPB5WV06Ng/B8Y+Y/3QoKSWDqTPFiC5lrjWl8sK8My2DgzrqtG85c9HHTxnZu2pxA9+JxIksCrqF8clMeIUPnQXLpkI0DCEJ4RKLH3UeHo5tFpsT64nRejXQMVckeSrwnyfC3IBIQZn5U9KnKadGsQRam99RxuN3IL+ojc4A8ksjbDWloRJk7SmwRj9sHnNQdamTxllL0ppkv066pqaGuro7a2tq4Qqa+DQ5eCB+TEWjqhi4LPLIJUpMoZn5zxMP/es0Zlm/qlwQ+qfVxttHGj/9rCoVZC1DMTDMevxeX4MGp9WD12vDLflTC7KvGm00of5UK84KpSvaNtbV0vSWVN95aEhIxQdxuNZ8cKuHQkcKkHofXmUbfte0Mdawiw7iR3LRtOHo20NewDZ87skrnqrUxoecd6nNg63OEjQmyjyXu/WT5r4dEDIAKP7n+qyz2fBrw2pgmJBnebTSPOeeD66l4YwTjXDYPlw82YB9wTsHRjY8lS5ZgMBhobm4OleFGw+uDw3Wxn8fpgRPXkndcTrfMP77pjFk002eVefFdV/IWVAjDJ/lpGmphX/shPmj7hAZ1K/3mIU4OneP9lk842HmUDkfXTB/mrEURMgrzguneWtp/qBhJiv3x+fxoIS53cu6i/F4dlpZ1SH5dxGOS14ilZT2SPzxCMugdos81EPe5bf2OiLEsfxMmOfZFNk3qIl1qT+DII/H7/Xi9XtwuFw6Hg6GhIQYHB+nv76e3t5furi46Ojpoa2ujubmZpqYmDl3sZcA9dgTI7lVxqT92zonP46fusyYsnZFbUNOJSqVi5cqVAJw9ezbmvMaugJgZi6YucI/K7R7tGpuos+xHp73Y4+iUj2u9DDlmVwL1fKDL2cNH7Z9yduASdl/g8zjyvCMhYfEMcry3lkOdxxj0zOzf8GxE2VpSmBdM1dZStPJry6CO1vaxe6x4fSo+OyyztLIVURQRVSIqURX4+sb3oiCiUo0YEwPfC4IQtqPlHChGlmJ7xUg+Pa7BQoyZzaExv8/PlZarpJbWhKojPB5PRNmnfdDBwMAAZrM59B5m++JHc7T9tZxp671hfufHL0lIkoTf7x815sfvD4xPNBm6S1UGkRouAodv7PsyyS9x7VgLJavzySmbOXfUNWvWcPz4cWpra7n11lujimVrAsEjvwQON+hu/GmMdpfduXMnu3btSshZtq0vfoTN44OeQYlUo7LNkSxa7R2c6buARPT3f/Rnpt9j4XD3CW7K3YBZm5w+T/MBRcgozAumKiITLWHW7kjsY9N03YJz6MyE1g0KGpVKRXXB2tDFKhbuodyQkPH7/Bw8eBCh189x3ZEx7dL3/GoPQ70OTCYT27dvR6VSoZUjozSjUUt2WltbE349QZGmUomIogrVje/FG0IuKOhUohgaC36fJZk5lUBUPdsQX8TKssz12g48Ti+Lls1MD6GCggJycnLo6emhubmZ0ihltfF+30G0I/4UR7vL1tXVJewsm2ZMrAonNcF5CvHpcHRzqi+66V6oEjKK2ZRH8nK4+yQ3523CpFGcfkERMgrzhKmKyOhUWjSCGq88/LypKR4EQUaWxz6pFy3SsiivLBChkIajEqGoxegoxqjvZVm+8Xrif0xlefgu2Wq1YrfbMYq6uHbpQ44hQIXdbsdqtZKRkYFX0KOVxw4JiPp0NmxYHSE+RguS4PeT5TOnm0Zr7LBMlsbO4nRPzMdH01Hfi8fpo3RNIaI4vRdnQRBYvXo1+/bt48yZM1GFTEUeHKsf0+iVggwwjdhNG+0uu3TpUj7//POEnGXvXKvhX9924R8jMLNusYqctAWYjTA0RJHVSppOh+z3I0SpFhwvftnPhYHoSVAar5d1Pg8r9TrMQ0O4cnORRn2G3JKH8wN1bM5dO+ljmQ8oQkZhXjBVyb4AqZoU+j2W0PfmVC8VZYNca0yP+TMGvZc7bjWg0ayc8LqyJCPJEoOtXnxxthrUuuF9c7PZjMlkQuWQ4l7A0rJTGWwORGTM5kBCbZ+6HJN37Pwae0o1+WmJVUUlgyeXWPin0zl4/JEXUlH2UTm0j4sX9Sxfvjzh5+xrseB1eanYWDztPZpWr17Nxx9/zMWLF3nggQci+maZ9LCsGC42R/95QYC1oypzo7nLJuosm5su8sTNWt44GF0MqkT4nfsWlj2+NDiI68c/Rjx0iC/4fFBfz9ClS+h27ED72GOTak7bNNSCwz/qQy3LVDdfp7KjDZUkBf4IejpxD/RyrqKS9uzwZqNdrh6sniFliwlFyCjME4IRmWRvLQGk69LChAzA7bc009KWiscT/QJ4x/YWNJrJJUYKooAKFaasVgZbx+6YbEgf3uZRqVVs376dMnkRK4qrx7yAffnrX+LUhxfCcmR6VeVk+65hlAejrjUkZjMgFk3qtY2XUrOXP1zXw9vX0rjUr0O+kUS0JMPFzelNdF/uoqHBj9PpZO3atQlHgaw9duoONVG1pQStYfq6iZvNZioqKrh27RqXLl1i9erVEXO2LA1UY1xsCVRuBTHqYNsyKIyS5hN0jY31fawxgP/6mB5RgF8d8oRVgGWbBf74KQPrqxbO5UK22bD/6Z8itbSEZcnJ/f24du1C6unBcGN7diJct7VFjFU3X2dJW0vEuM7nY319HX5RRVdmVthjV61NrMteNeHjmC8swDihwnxkKiMyFakliKM+Knk5Tp5/6iKlxdaw8cwMJ48+eIU1q3qStr4upRd9Wux8FGNWAxpD+HFo1BqWly2Na42eWZDOorKCMHM9SdBQr7udAXFR2A69hEifqpQr2lsDHYKnmeJUL7+3ppe/3tbB9zZ08dc3dfBf1vayvjyFrVu3otVq6ejo4MiRI3i9ibdqcFpdXP60EYd1esuLgy0LYlUviQJsqYYvbgej6zSD1/eyLKeNZ26B0rF17YRQiQLffdzA299P5Z6qyyw1fMr/z957x8dx1/n/z5ntRb1Lli3JRe5F7iVOjxNSSEISILTQzkcoR7m7L507jn7c7yh3cIGDhNAOQgik4PTi3pvc5CbJktW7tu/OzO8PWWW1VdLuSrI/Tx55oP3MZ/Yzs96dec27fur2bv76L2lsXpI6kTcV8D77LGpDqKgYxPf88yiXIpjLRs4LkyHm8rhoaGtECQyrRYPfz+zmUHEziARUNtSHjLe42wf6tl3jXDsSW3BVk0yLjFVvYZZ9BrWO4AtXYYGL9z50mq5uE929ZizmAEUFzmRULyet8BQGSy/u7pkEvAOmZL25B2t2Peb00EjYsrRSTLrYqT6SJFGysIBze4IvkgHJzAXTdajuThpObMdstjBj8fX4JUtiTmgCZJpUMk3BF+/MzEw2bdzIvv376erqYteuXaxduxaLJb7j9bn91OysY/aa0pR1z54/f8BadvHiRfr6+oZce6OxmMAcqMXRVE2udeboFj8JJztNZkXxZfSd1ayqmIted+0F+PpeeSX2nJdfxvKRjwy/HpUVODqLbDDA/r9/+RPOaZeGA+z1Ooq6OgfcSVHIdDqxu1w4rMMBvgEtQJe3h1zz5GXhTQWERUZwVZBMiwxAZcZs0g3hfdHZWV5ml/VSXJgcEQMDMRGWzMtkl+8hd+5r5M57jeyy/WFFjEHSMze9PO73zsi3k12SEXabRzVT3Wqgpts6JURMNKw2Gxs3biQrKwuHw8HOnTvp7Q3vHguH4lc4t6eezsb495kIBoOBRYsWoWla1JoygtSiqSpaR2i169GobW1Dfw+Kll/+8pc89thjQ6JmdIB9a2srXT0D8WeDAfYAhjivW+HmtbljH+vVjhAy48QX0Nh3xs+bx/zUt47PCqCqGpfaFGpbFAKKKDQ1EZItZIw6A+vzV0YUM6lE1inIcvjvnIzM8pzFmHRjK8dfVlVCTmlmyLh6JW0mEZlHqcBoNLJu3ToKCwvxer3s2bOb9vb43XyaqlF7qJGWc6m5OYzsiD3VunVfq0iyjGS3x5wnj7CghRMtg1lkwFCAfUFBAbkZA3EuIwPsXXE0ENUAlznUytrqEUJGuJbGwa9f8/Lb1710O4YvPCvn6vjnBy2UFcTOftA0jf97y8cf3vLS3DXwHjnpEvdtMPLB20zXpCl3oiTTtTSISWdkff5KanovUO9oDFvjYTLRSTpW5y4n35ITe/IoZFmibEUxRoue1gudqFeEtXbF3D2RDI1Uo9PpWLlyJSdPnqSuro79+/exdOmysAGukWg81YrP7ad0SWFSz33mzJlkZmbS0dFBU1MTJSUlSVtLED+GG27A9/zz0efceOPQ36NT36NljT364Y/xxzPPDgTY6weuWy1Z2XgMBsxRYrtas7LxGkOFTL/fgSvgxqqf2hbTZCKEzBj57+c8PPmqN2T80DmFrT908svP2mN2if32H9z8dU/wF7azT+N/X/Ry+pLCv3/Uii7FtS2mO8m2yAxi0hlZmr2AirSZXOiro9vXh8PvjFiZM1UUmPOozJxNpjF6T6JoSJJEyYIC8ityaKvtovNSD2pvfBYZSZaQZWng/3Uysk5CkuWBMd2VsZDtErIsx9guIV153Xahi67L8bl9JEli8eLFWCwWTp8+zbFjx3C73cybF3/34rbaLnweP+VVM9Dpk2ORkiSJZcuW8dZbb3Hs2DEhZKYIpvvuw799O1pfX9jt+lWr0C9aNPQ6kmgJlyFmMVuYWVBKv3+4yakmy1SXz2bl2TNh3SQ+vZ5TsyK7i9vcHZSlxS/UrzaEkBkDrT0qv309VMQM0uPU+OXLHr7ycORqi0cuBEJEzEh2nQrw6mE/W1ZNfqfe6USqhMwgdoONZTkDFzJVU3EF3Ciainrlv4G/FVRGvg7+W0NDURVUNBTtSrE8TUHVBurHqITbT0HVVEw6Eza9FZvewkx7SUJrSRhMekrm51MyP59LlyzsOOvFNkPPgs0VAwJjlOgYFBzJxrbSgtFiCNutOxKzZ8/GbDZz9OhRzp49i9vtZumSJUhxusp6mvs5u7uOOWtnYjAl53I5KGROnDjBli1bgjLIBJODnJ+P7VvfwvHv/w71IwLhdToM11+P5dFHQ/aJlNYejnxzbpCQAWjOzWOfTs/8hnqyHAN1oRRN44LeQOPiZUFBvqNp8wghI4iTbft9UStfArx00MvNFacxGQaetgb/k2UZSZJ44s0cIHpWxF/2+ISQGSOpcC1FQpZk7IbUZLqkHg3JoGFKM2DLmlzTtSRJzFhUgNFi4FJ1c9z7lZSUYDabOXDgAA0NDXi9XlauXBm3YHB2u6nZWcucdbMw2xL/u8zKymLmzJlcunSJs2fPsmDBgqDtmtNJ4YULSG1tGGtq0ObOjVuIjQufh1KlC3OmirWvCbS5k5JuP9noZs2i4e//nt2/+hVL09OpWrMG/apVyDljd92OpsCSy4X+upDx9qws2rOysLndKP39vLL/AD6zmZst0VsRtHu6UDQFnXRtimAhZMZAW2/smAi/IvPctjcwy86w20/3votYQqahXdQFGCvJ6rV0rTP4eU6lYN/8imwMFj21hxqHYnlikZOTw8aNG9m/bx9tbW3s3r2bNWvWYDLF0Y0S8Dh8nNl+kbnrZiVF0C1btoxLly5x7NixISGjaRre3/4W71//yiKPh0UAP/85jueew/Lxj6NfvjyxB6FpUP0anN3DasUHBcCF16HlCKx+OxTOjvkWVxv19fU02+0s37IF45o1CXvfbFMmeklPQAtvQXZaLGCxELBacTud9Pf3k5Ye2eqqaAqdnp5xxcddDUydq9M0ICc9tvlcL6tsWr+CdevWsXbtWtasWcPq1atZtWoVK1euJCcj9hOdzSziY8ZKsnotXeuoV4J9p5q7I6sonXkbytAb4z+utLQ0Nm7aRHp6Or29vezatROHwxF7xysEfAo1u+roaemPPXmMLFy4EL1ez7lz53A6Bx6CPL/6Fd4//AE8wYX61JYWnF//OoEzZxJ7EMdehlNvQWBUmwJnN2z/DXTELgA3nen0dHO65zz72o7wyuUdvNm8h31tR+i1Ockuzk3oWrIkk2eOLTry8wcqH7aNSPWORJs7cUU4pxtCyIyBO1YZiRUKcEuViTtvv5ktW7Zw++23c8cdd/C2t72NO++8k7vuuouHt8QO5ru16tqqopkIhEUmOUxFi8wg9mwr868rx2SN391jNpvZsGEDebm5uFxudu3aNZQ2Gw+qonJhfwPtdfHvE+9xzZ8/H1VVOXHiBGp3N76//jXyDn4/3t/9LmR4dCXZcJVlw43hccDZPZHXUwNw4o0xn9d0oM/Xz962w+xqO8C5vou0etpxK246nV20uNrwpAU4GTjHgfaj9PoSJ2LjsZ6MSch4Oid8TNOVqXd1msIU58jcutQVcXuaBT50W3RT9a1VBsoKIn/s6ZYA928U8TFjJdXBvtcKU9UiM4jZbmL+5nJsmfG7e/R6PWvWrGHGjBn4/X727t1Lc3P8MTeaplF/rJnLp0OLEU6EkTVl/Dt2QIzvcuDoUdTu4eaeo4uyORyOkCJt4Qq3AVBfDWqMh4CWC+BOvDVqMmlwNPFmyx7awtRi6b7y2WZnZyPJEs3uNna27qfNnRjBUGDJizknJycHnU5HV1cXAX/074Mj4MThDx/ScLUjhMwY6O3txdb+a+aY92I2BP/oF83S8ZNP2pkVo46M2Sjx40dtLC4LnWeXO1lp/SPKNaysx4twLSWHqWyRGcRg0jNvYxkZBfFnbkmyzPLly5k7dy6qqnLo0CFqa2vHtG7z2Q5qD19GVRNTT6iiooK0tDSam5txxCOsNC0oPXh0UbaamprwlWVHjQHgjecGqIE38oPcdKPZ1crRrpMRt3d2DlyHs3OGy/8rmsL+9iM0u2JbSGJh1pnIiFFgU9bJ5ObmomlaXIUdr1WrjAj2jZNAIMBTTz2Fx+Pm/jUO7rgzk/01Cm6fRnmhjvml8T+x5mfK/OIzdqrrAuw7E0DTYFmFns6Le9i/v42nnnqKj370oxgM09/FpGkaikrSi/xdC64lTdPodmjoZMiwpUZYDFpkprKQAdDpZWavKaWhupn2uu7YO1yhsrISs9nMiRPVnDx5ErfbzcKFC+Pev7OhB7/HT8XqUvSGiVmtZFlmyZIl7N69mwaXi5hNJvR6pOzhm+zoomyVlZXs3r07qEgbEFK4DQBbZhwHqAPL5Fe2TgT9fieHOqojFrWUfX762gasNNnZwX2MVFQOdxxnY+GaCdVtAsi35NHrj27lys/Pp7O9n96OdLLS8jGYe9EZwpcBaXO3U5E2c0LHNB0RQiZOXnrpJS5fvkxeXh533303RqPMDcsmdnFfUqZnSdnwP4Ey51YaGxtoampi27Zt3HPPPRM97EnjZH2A37zuZXt1gIACZQUy920w8sB1xqSImqvZIqOoGn/c7uNPO3w0dgwIi/mlOh6+wZj0NP1BYThVXUsjkWWJWcuKMVoMXD4d/xPzrFmzsJjNHDp8mIsXL+J2u1mxYkXc4q2v3UnNzjrmrpuJ0TKxh49ly5axe/dutvt8lJvNIYG+IzGsW4ecNiwswhVlC1ekLdwYMxfDkW2hgb4jKVkApuhpwNOF8321YYtYFuw7Tcmbx0m71MZ1QF2WGUdRB52jxIyCysH2Y2wuXIdRN/5/83xzDuf6Lkbcrqky6bpbWV7+AWTZSN9lABVTWhtphaeQdcHXuw5PNwFVQS9P/d9rIpnaj1lThOPHj3Pw4EGMRiMPPfTQ8I8/weh0Oh544AFMJhNHjhyhuro6Keskm9eP+vnoD5y8fnRAxADUtar85zMePvczV1L6Sl2tMTKqqvHVJ9384BnPkIgBONOg8NVfu/mfFyLf6BKz/vSwyIykaF4eZStKkMZQpC+/oID169djNBppbm5m7969+KOUix+Nu8/DmR21uPom9u+Rn59PUVER3R4P/XfeGXGelJaG6b3vDRkfLMo2urLsyGtWuDEMZlh2W+QDM1phyc1jP6EpiCvgptEZ6rqb84c3mf/kq6RdGhbBZd0eFj/+EmXP7Q19H8XNkc4TE+qRlWXKwCiHF0KaBj2NK/A7y5DlkfccGW9/IT2XVqGpwb9LFZWOa9C9NH2uTilEU5ShHjNtbW08f6Xnxj333ENubmLT8EaTlZXF3XffDcDzzz8/5KedLjjcGl//rSti4cC9ZwL84a0oT33j5Gp1Lb121M+rRyLfUB9/2cvZxuSd83SyyIwkd2Ymc9bOHFNrgczMTDZt3IjNZqOrq4tdu3bhdrvj3t/n9lOzs46+jokFXA4G/e5LS8Py2c8iFxUNbdMkCX1VFbbvfhddotsZzF0L694B9mHrgwZQOAdu/jCkJ/falypa3e0hLqWsU/WUbI/84DjrxQOk1bWEvpennfN9deM+FlmSSTOEb1Dpc+Thd0XObAp403H3FoeM9/njLylwtSBcSyPw796N99lnUU6dAkBasIA9RiN+vZ61a9eyaERvjWSyaNEi6urqOHjwIP/3x2coWvIe9p9VUVVYUq7nnnWGlMVIjJW/HfDhjqFTntru5rYlwT1M4nmqiTZnMPuit7eXlpbQC85Y3msscxL5XuHm/P51K7F+ps/s9vH/HkpO1d3paJEZJCPfTuWmcs7trcfvic9SZ7XZ2LhxIwcOHKC7u5udO3eyZs0aMjIy4tpf8Suc21NP2YoScmbEt89olixZwssvv8yZM2e483Ofw37DDbz6s5/RcPYsmx94gDnr14/rfeOibDnMWsYbT/+GhtrzbNxyD7OXrkzeepOAMxAqTot3xLZ+F+04QX9ZYcj4md7zZJkyyDVnh9krOk2uFjq94WO63L2xhaqntwRrVmPwfmHO72pHCJkreJ58Eu9TTwWNaadOcQNQUFnJ6ltvTenxbNmyhaPnHPyh5jq8Z4aVwVvVAf73RQ//9n4rm5dMvWDgmjisA83dEj/675+jl+I33Y+Fxx57LCnvOxmc6/47Yv1MLzQLi0wkrBlm5l9Xwfm99bj7I/dJG4nRaGTdunUcOXKElpYWdu/ezapVq8jLi50uC6CpGrWHGvG7/RTOHbsVw2q1Mm/ePM6cOcOpU6eoqqqiPy+PhpYWlOyx3yzHjCTRLduodcmsNYW3Fkxnwt3obZdjW77tl8P3+NLQONRxnM2F67DozXEfh9Pv4ljnqYjb1UDsqtPh5riV5LqbpyJCyACBU6dCRMxIFtTUoJ09C6N6oCQTj1/H9rYteLVQP7/HB196wsWv/tFORdHUusGY9PHEJWjMKC5EJ4f6nyQp9v6R5jQ0NABQWlo6ofeZSnN2HgNfDAuX1ZS8jLDpbJEZxGQ1UHldORf2N9Afp9tHp9OxcuVKTp48SV1dHfv372Pp0mVxNwUEaDzVis/tp3RJYVz//iNZtmwZZ86c4dixY1RVVY1pX0EsQv8t1DgyzlRD5NulV/VxuLOa9fkrkePoS6VoCoc6q/FHaFEAIOtjC+9wc4zytVeHTAgZwLdtW+w5f/sb+hQKmRf2++hxRr74+QLwh+0+vvDOyW3kN5rrluh5elf0O+/6BQa2/t2HEr72t771Lfx+Px/84AfHfOOYqnTa3fzujeif543LkmeZm+4WmUH0Bh1z182k7kgTXZd749pHkiQWL16MxWLh9OnTHDt2DLfbzbx58+Jet622C5/HT3nVjDHF68ydOxeLxcKlS5fGVHlYEJsMYxrN7uBihp1LK7C1HIq6X8eyiqjbO70DLQ4WZcX+fpzuPkePL/r30JzRhM+RH3POaDKMV0eK/FiYvo9ZCUS5cCEhcxLJzpOxffq7TibHNTMR1s3XUzkj8tdKluC9N8fXqG+sDN5sB60IVwMPbTZhj6JVi3MktqxMnpC5Giwyg8g6mfKVJRTOGZu7Z/bs2VRVVSHLMmfPnuXYsWNDyQDx0NPcz7k99fi98WfU6XQ6Fi9eDAxU+hUkjnA3+sublxKwRLZkeGxmWtbHri90ob+OZlf0is/NrjYuOmL3rTLZ21DkUKEyiM7UjyWskJlYbZvpyPS/OiWCeArPpbg4XTwpyjEqVk8KkiTxH39nY25J6FfLoIMvvMvCqrnJMQRejZlLRdkyP9hqIzdMw9LyQpkfP2rDbEye9elqscgMIkkSMxYVMHNJUezJIyguLmbt2rXo9XoaGhrYf+DAmFL9HV0uanbW4nHGn7G3/Ep36+PHj08oxVcQTI4pC9Mo94svy071o/fgC/PU0GPW8fNVBfRL8f0bHOk8ycGOYxxoH/zvKPvbj7CvbeC/o50n4nofR38/xy/8kPbevcDIa5qKKa2VrNKDSHLwtS7TkE6OKSuu97+aEK4lwLB2Ld6LkYsSwUDxqVQyv1TH4fPRb8gLZk7Nm0tehsyT/2hn96kAP/rNIXyKzL23LuWe9Uay05KnnUcWxUtWrZ/JYEm5nr98LY2/7ujij9tOkGa38uEHlrN+gT7pLrSrySIzkvyKbAwWPbWHGlHjrGuUk5PDxo0b2b9vH+3t7ezZvZs1a9ZgMscX4Olx+Diz/SJz183ClhXbJVxUVEReXh7t7e1XlZVxstHLeiozZnO8+3TQeF9FEfv+7RHyDp0l83wTmiTRXVnKa5KDS81N9B06xIYNG5B10X8LAS1AUwyrTCyUgMKhQ4fwB9zIafvInePG5xoI9DZYeiJW9p2fOfeqcauPhavr6jROjLffDjZb5Ak2G8YtW1J3QMD9G2N32n5g09S9WcuyxKbFBpbYXmFVxss8cps5qSIGrt6ieAAGvcSmBX4W2d5kU+kJNiw0pOSCdbVZZEaSVZTOvA1l6I3xn1taWhobN20iPT2d3r4+du7ahcMRf92OgE+hZlcdPS2xmy9KksSyZcsw2EuQstaTOfseGnqzccWXfDVuqusCvHZ+Lscdt/LcIRudfVefiJppL8GuD73mq0Y9resXUvO+Wzj73ptpXz2PRcuXkZaWRk9PDydPRu7NlDA0qK6uxuFwkJWVxfz585H1fszprZjTWyOKmAJzXlwdta9GhJAB5OxsbP/yL0jpob5FKT0d27/8C3Iq0h5HUJqn4x8fMBPpXvXQZiObFk+99OuRKIqCqqop6xl1NbqWRjIZnaivVovMIPZsK/OvK8dki/+hwGw2s2HDBvJyc3G73ezatWtMAbmqonJhfwPtddH38Qegx7CW/CUfwV68Dlv+Cup68vi/7XCiPu7l4sbl1fj0/zj5yH86OXh5Jo2+RTy1L417/qWf37+ZZPWUYmRJZmXuUnRx3AJ1eh0rV61Er9dTX1/P5cbLST22hoYGGhsbMRgMVFVVxVWh2qIzszwnNXXOpiJX59VpHOjnzyftF7/A8olPYNi8mbqiIl6ZNQv3t7+Nfv78STmmd2wy8fl7OikwnEcnKeh1sGK2jm990Mrn3jG1spXCMWgZSZWQuZr7LcHkWEeuZovMIGa7ifnXlWPLjP83pdfrWbNmDTNmzMDv97N3716a4+lYfQVN06g/1szl05FdEG+dgOaeUO+/qsHeGrgYu+7jmPjX37jYczr0txNQ4AfPeHj1SOIrck8mGcY0lmbH1yDUbrcPVVw+fvw4/X2xLWrjob+vnxMnBmJoli9fjsUa+zspIVGVswSTbupa6JONEDIjkMxmjFu2YP2nf+LyvfdyMi+PujFcnJJC33FWpj3PD99zgV3/Xwb/8yk7Ny+f2paYQQZ71QiLTGIYPK9UWkeudovMIAaTnnkby8goiD91VZJlli9fzty5c1FVlUOHDlFbWzumdZvPdlB7+DKqGhyn0+OEuhh9L4+FWcrn89HQ0DBU6Xr060hjda0Kbx6P/gDw5KtXl1UGoNRezCxbfK0eioqLKC8vR1EUDh86hrOzkJ6GFXRfWkl/6zwCvrE11Ax47PS1LKDzwkY6L2ykt2kBJ483oSgKFRUVFBQWxPU+8zPmkGO+9gJ8RyKCfSNQVlbGgQMHqK+vZ8WqKtyKB4vOPKFOp2NFURRqamoAqKysTNm6iWKyhMzVbpEZPM9UMBnurMlCp5eZvaaUhupm2uvCl40PR2VlJRaLherq45w8eRK3283ChfE96QN0NvTg9/ipWF2K/kphtro4YkU7+6HfBWlX7p8+n4/HHnuMrq4usrOz+eAHP8jjjz8+9Hrr1q0AQXO2bt2K0WjkzeOxSznUNKo0daoU51xdonZx9nx6ff30+Ptizl24cCGufh2F9vfgbB+OR/G7cnB3z8KedxZrTmy/n7u3mP7mhYy0JSh+G+U5j2I1PceCBfFZB/PNOcxJL4tr7tWMEDIRSCvMoDO9n53dBzA3Zg4VgzTJRjKNGcxJL0u6Cq6vr8fj8VBSUkJ6mPidqU6qhYxwLSVvzavdIjOILEvMWlaM0WLg8ukYJpERzJw5E7PJxKHDh7l48SJut5sVK1bE/bn1tTup2VnH3HUzMVoMBOKMrx05r7W1dShWp6uri5qamqDXra2tQ3+PHCstLcUTp9fI47v60sB1ko5Vect4q3lP1Eq7AEgy5XkfQg2Ea90g4WivRGdyYrKHb2cAEPDaQkTM0DtIOgrT7kHx70Vvih5EbpZNrMhZfE1mKY3m2rg6jYF+v5M9rYc44jiJIceEJ+Clv3/YH+pVfbR62tnVdoA9rYfo90+s0200zpw5A8D8SYrRmSjCtZRYJkPIXEsWmZEUzcujbEVJXIGWg+QXFLB+/XqMRiPNzc3s3bt36DcQD+4+D2d21OLu85AdR4sjgx7SRjy4FxQUkH0lKSE7O5vKysqg1wUFBSFzCgoG3Bdzi2P/+9rMXHXWmEGsegtVuUtizvP250UQMcO4usqibnd3lxL91itfmRMZCYmVuUsx6ZJTXHS6ISwyI+jz9bO77RA+deDxJCcnh/7+fjo6O0hLD/Wdt3s72dV6gA35K0lPcFloTdOEkBkjV7tFxutT8KoWVIRFJhXkzszEYNZz8UADSpwmkszMTDZt3Mi+/fvp6upi165drF27FoslPleBz+3nzM46yleXYjXZoqZazy0C/YivgtFoZOvWrbS2tlJQUBD2NRB27PqlenLTJTr6Iltc7lhtTGrxxcmmwJLH3PRyzvVFjnPyOWNXhfa7snnlpdfRGLgOaZo2VNBQ0zQWlCzGGkN/+FzRrf2VGbOv+biYkVx7V6cI9PudQSIGBoQMQGdH5M6oPtXH7rbEW2aampro7+8nNzeX3Nyxd9CdbNT+fvRvvsn6y5cpv3ABtT85Uf4jyZZ9zLGp6B2RzbrTkaZOlW/9n4tPPlnCaz1b+Y+3NvCN37m43JG8+h5qezueJ5/kuhde4APV1dgff5zAifgqkl5NZOTbqdxUjsEc/zOf1WZj48aNZGVl4XA42LlzJ7298fV3AlD8Chf21rOiwEGk2mtZdlg5J3TcaDRSWlo6JFBGv440ptdJfO29VkwRnjnmFMlsfVv8nZ2nK5UZs8k1RSu1EZ+Q8/sD+Hw+fD4ffr+fQCBAIBC4YuGcmHsuz5TD3PTyCb3H1YakidrXAOxpPUS7N1iwSC1d+H77PPO7vGSkpdFbUUTz5iW4CkO/6HmmHNYXrJzYQTh74cIBaDlPX18vp9udqBWrWL/lnom9b4rx/OEPeP/4x+C2zUYjpne+E/NDDyV+wZbzcPQl6BmRj5pZCMu3QGGYq/00oq5V4e9/5KTbEfozzbBJ/M+nbFQUJtZCEzhxAufXvw5ud8g204MPYn7/+xO63nTA6/Jzfm897v74M3cUReHIkSO0tLSg1+tYuXIVeXl5Y1o3bXYxl9Us6loH0q4tRqgsgaVlYEyCobOmUeHJV728fsSDio4sO9y7wcR7bzJht1y91piReBUvbzXvxaOG/lu7u2fQ3xo9kFtn7Cdr1q6g2BVJkoY0UH/rPNzdZVHfw5JVT1pBTci4STZyQ9F64VIahRAyQKenm11tB4LGsk7Ws+h//4bOF+ym0GSJs+++kZYNocWHNuavHr+5r/kc7Pw9KME+dQ0JafXbYfYERVKK8P71r3j+938jbjd/9KOY7kmgMGs+B9t/A1oY64Qkw+b3QtHcxK2XYj72Y0fUVhVLy3X8/NNxBFTEieZy0f/hD6NFqVZr/eIXMaxfn7A1pwsBv8KF/Q30d8RvfdU0jZMnT1JXV4ckwdKlyygtjR7/MJr88myKFxWiqBJGPRGLZCaS//jPH9Hd4+IL//wpbLaxpRVfDXR6utnddhBtlPVEVXV0nt+MpkZWkWkFp7BkNUbcHvBZ6KrdCFokh4hKdvlu9CZXyJb1+SvJM1+b1XujIVxLwPm+uqDXxl5nWBEDIKka8373Bvb60PzI0e8TN+7+sCIGQEKDg3+FruRWk0wEmt+P96mnos7xPvUU2qgAyPHWvgDgyN/CixgYGD+ybewnMkWobVFi9ts6XqtwoSl4TryfX9ixN96IKmIAvM89N5bTuGrQG3TMXTeT7JKMuPeRJInFixezcMECNG2gk/XZs2fHtG5bbRd1hxrQS2pKRAyA4vdgkL2YTNdmkbUccxYLM0MfgGRZIaPkGEjhf5em9GbMmZFFDIDe6Ca9qBqkcNctlfTi6rAiZl56hRAxERDBvkCPL9h/XbTzRFgRM4ikaZS8dZya9986NKYEFC621LIic9GQ79nn84UE1YUb48KBsCJmCE2Ds3th3TvGeYapIXDsGFqMWACtp4dAdTWGqipgYrUv6LgEfTHiYfraB+blzkzIOaaSiy3xxcCcb1aYfSXrZPTnGenzCzdmNBpR4uglo5w8iaZp12Tap6yTKV9ZgtFioOV8/LFYFbNnY7ZYOHr0KGfPnsXtdrN0yRKkOIOoe5r7ObenntlrSjGYkn/Z9vl8SJJ0zWWrjWR2ehld3l6a3cEPrUZbF9lle3B3z8Lbn4+myehN/ViyGjGltcQlNs3prRjMfbh7Zgw0g9QkDLYuLJkN6I2hLt1cUzaVGbMTdWpXHde8kPEpfrxq8FN+Zk10RQ2QVdMw9LcSUNi+fTtOp5PWtxp4dOvHgPhvHrRG77wNxDdnktFcoU8RYec5h03zE6l9gbMnvgNzxR9oOZUwxxkDYRmRSTL684z0+YUbG6vL41pFkiRmLCrAaDFwqTr+yt/FxcWYTCYOHDhAQ0MDXq+XlStXxi0WHF0uanbWMmfdLMxj6A01VlRVRVEUTCbTNSlWR7I8ZyH9LQ4cgWB3ot7kIq3wNGmFpyPsGRud0Y09/1zMeSbZSFXukmv+3yIa17xryRUIvflK8USVj5jS19eH88rNub2vg9bW1rA3lEg3mbiC2KdBKJOuuHjM8yZS+wJznLEhpiidzacwK+fqSbdGv3jZLbCmcvh5JNxnFe8YgH7p0pjHpV+6VFxUgfyKbGavKUXWxf9Z5OTksHHjRixmM21tbezevRuvN/4AYo/Dx5ntF3F2hz61J4pUl02YyhhkA2vzVmDVTU5vO5NsZEPBKswiuDcq17xFRg2jInrmlJBxIfqTVu+c4Ztxeno6NpsNp9NJZlbm0E0hOzt7yPoSbYz8WdARo6x1fln8JzVJ6ObMQTdnDsr589HnzB42kU6k9gX5ZWDNBFdP5IOyZk6Lzy4cZqPEu28w8tjfIt/o3rnZFFTbYyyfX7gxww034Pn1r9H6IpdrN959dyJO76ogqygdw4Yyzu+7RMAXXyHGtLQ0Nm7axP79++nt7WXXrp2sWbMWuz0+YR7wKdTsqqNi1QwyCxNbvwoYipkamZ59LWMzWNlYsJo9bYdCLDPJxKIzsy5/JWmG6fkglkqu+aylLm8PO1v3B42ZuvpZ86+/Rg6EvzBpEhz97AP0VRQNjSkBhb6+Pm6ffSMFafnAGGJknD3wwg9BjRSXI8EtH5kWcR6Bs2dxfvnLYVN3sViwfeMb6OfNS9yCdcdg758ib1/3AJQtS9x6KUbTNH7wjIc/bvcxsq+gLMED1xn57P3mhFtHAmfO4PrXfw0b9Gt6z3swv+tdCV3vasDj8HJu7yW8zvg7RAcCAQ4dPEh7RwcGg4HVq1cPWcniQZIkZi4tJK8s/n3ioaurix//+McUFhYOucQF4Ff9XOy/xMW++titDCaAUTYwO62M8rRS9PI1b2uICyFkwggZgNwj51nwxEvIoyp6ahJcuH8Tl29aEfb9NhWsIduUOfYDaTgJe54CdbR4kmDF7VC5YezvOUkotbV4fvtb/Pv3I2kamiRhWLMG83veg648CYWcao/CsZfBM6LonjkNlt0G5csTv94k0NSp8sQLjRw+cYlZRWl89n1LKMlNnmdY7e7G9/LLXH72WTS/n/w1a7Dec09iRehVht8b4PzeSzh74nf7aKrKsePHaWxsRJZlVqxYQVFRUewdR1BeVUJOaeYYjzYyLS0tPPbYY5SWlvKhD30oYe97teBX/TS5Wun3O3H6XbgVDxIDbQMAkKSh10G1ZK7878qUoREAo86AXW8jzWAjx5yFQRZuvbEg5F4EOlbM4WBRNiXbqzEePIOkqfgXz6b5hmX0z4qvvfqYKF0EGflwbh9dpw6AppI5Zyly5XrImZH49ZKIrrwc25e/zFvPPUf1rl2su+02Vt10U/IWLF8Os5Zw7KWnuVRzknnLVlJ5/Z0gXz0ZF8U5MvevceGvfY0ls5ZQkptcK5OclYX5ne/k+ZYWenp6+KdHH0VvvfbqiYwFg0nPvI1lXDzYSG9rfJWsJVlm+fLlWCwWzp07x6FDh1i0aBHlYxD8dUebMNmN2LMS8+8zGCMjXEvhMcgGZtmn1zX5akcImSi4C7M5/9D1vJLpw+v1csfbbk5uOmJ6Hqy8i8ffrMHhcPDFd9+LPI0D7vwWC50WC2qcvv8JIevoMOZwuFemwFZ4VYmYQSajKeZg00gR3BsfOr3M7DWlNFQ3017XHfd+lZWVWCwWqquPc/LkSdxuNwsXLsSgucgJ1GPQ3PglC536WfilYMGiqRoX9jew5Ja5yJF6GsSBpigE9u7F/OyzPFxXB83N+MvK0K9fj3QNp2ELpj5CyAiSxqDXMlU3wVSvl2oGhUwqm2IOfqbXYtPI8SLLErOWFWO0GLh8ui3u/WbOnInZZOLQ4cNcvHiRJWkNLMntQR6RkFAcOE6rvpLLhuVB+/o9AXpa+sdUrG8kmseD8+tfR6muxgjkA7hcuL77XXSLFmH72teQ4mx8KRCkGnF1EiSNVAuLq916MGgNTKVF5moXh8mkaF4e5VUlSHL8n11+QQHr169nc4XCitzuIBEDIKNRFDhDof9UyL4d9fFbgEbj/tnPUKqrw25TTp7E/dhj435vgSDZCCEjSBrCIpNYJsMic7WLw2STU5rJ3HUz0enjv9RmZaRxXVn0f+PCwBmkUZkz3S19XKq/FLUNRbi2FGpvL/4334y6nv+tt1B7euI+B4EglQjXkiBpCCGTWCbTIiNcS+MnPc9O5aZyzu2tx++JLULT1FYMUpSWJYAeH+lqK726EmDgO7F9+3acRzvJyQtfSTxc+w+j0Yhy6hT4o69HIIBy8iTyxo3xnbRAkELE1UmQNISQSSx6nQ67TsOoxF8JdiJomobZ7cZ6pe+OYPxYM8zMv64CS1rsCq26OGuUyCPmDVUX16SIlcQjtf+It2q4psbX+0sgSDXCIhM3qbuQa9q06EgQEVXV2H0qwNPH5tLSX4xrXxb2fIW5JcnLfHB5wcFM0krMdHmzUFSYQALH1ELT4Nw+Ms7s5nNzFKAZ/vYjmLcO5qxJwnIavuefx/f883ygqQkA5yc+gfHuuzHdcUfC17tWMFkNVF5XzoX9DfR3RK4Q65bT43o/z4h5Q9XFJU/ESuKVlZXs3r07pLK4rrISdDqIZumTZfQLFsR1XAJBqhEF8SIUxAPwOnNwd83C68gCJAyWXqzZDZjTWyK+37gL4gF7z/j5/Rs+9p3xoSGxpEzHg5tNbFk5feo59Lk0PvuYk+q60IviO6838tn7E5v5oGqw/yycukRQ5VuzAdbPh9ljqy02Ndn7Z6g7En7bnNWw6p6ELuf6z//E//rrYbcZ77gDy6OPJnS9aw1VUak70kTX5cjNTOd7X8WuRu6u7ZByOGO+NWhMb5bJWWiPWkk8bGVxwPW97+HfsSPievqNG7F9/vPxnqJAkFKulmfWhOPqmkVvw0p8zlwkSYckyQQ8WfQ1LaW/ZX7C1/vdG17+4acu9p4JoCEDEtV1Kl990s33/5S8BnGJ5l9+7QorYgD+8JaPP25PrFtkfw2cqA8WMQAeP7xZDQ3tCV0u9TSdjSxiAM4fgNbahC3nP3gwoogB8G3bRiBCdosgPmSdTPnKEgrn5EacU29YRYDwDzABDNQbV4WMZxVmUlpaGiRQjEZj0Njo14NYHn0UuaIi/PGWlwvxKpjSCCEThoDXhqMtcil2d89MvI7IF6GxcrFF4Ud/9UTc/tQOHztPxgjGmwLUtijsOhXdv/+7N7yoo1RHPJkV4cZcXjjVEHktDTh8YeznMaU4H95aGMSF4Dnxfn5hx7Zti7mc78UX4zhwQTQkSWLGogJmLglvMnTLmZw23UKnbhaKNuDWVjSJTt1MzphuxS1nheyTOzNz/Mdjt2P/7ncxP/oo7pIS+oxGnIWFmD/2Mezf+x5yenzuLoFgMhAxMmFwd5cSKybG3V2KyT5s+h1sGunP8sGVeL54m0b+eacvZkzM0zt9bFo0tav87o4hYgCauzRqW1RmFw/Ey/h8vpiZFRCcfTGYbVHXGmqJGU17H/S5IH26Vtfvi8Ok1Ds8Z/TnGenzCzdmNBpRL12KuZwSxxxBfORXZGOw6Kk91IiqBH+ZvXI6tcb1NDTnU3fuJEWls5lTuSji+9iyJua2lcxmTHfcwaWcHLZt28amTZu4+eabJ/SeAkEqEEImDAFvWuw5nuEnFCVwJfXR6aRtdyP/8JFPAvHfPGoaY6fTxjNnsvEr8YVb+UecSryZFaPHSktL8cZZTsWXurIriUcfR3yUYTgTZvTnGenzCzdWWloKcVRvFRVeE0tWUTqGDWWc33eJgC/0d65qOno9MnlqeAO6yWakZEF+wo5nMEPtGg+fFEwjhGspHFIcP2BpOBVxKPUR6OnuDpv6GGkMwBCHnDROA8m5aGbsg7SZYVb+8NeuoKCA7OxsgKHMipGvCwoKQuYMZlukx3E/lSWwm8d6JlOI0vBP4JHmhPus4h0DMMRRJySeOYKxYc+2Mv+6cizpYb6sg8Ii3H45A/vp9InLCBwUMqpItxZME6bB7TH1mOxt+F3Z0eekDfdQGUp9dDrJzMoKm/oYbey6xQYOnYtucblu8dR2KwGsmqejrECmrjXyBfDONUYspmG3ndFoZOvWrUHuttGvgbBjZQVgPjMQ2BuJWflgnj5JX6HMXg3n9oHHEX67JR3KVwy9HMvnF27MePvt+J5/Hi1CFVcpNxejcDckBbPdxILrK2g930Hz2fYhV1M4C4msk8idlcWMRYXIY2iBEA/CIiOYboj06zDp16qip+viRlQlQvEqSSG7fA96o2toaDBG5vbZN1KQNmDmjTdGpt+l8dC3+unqD/9PYTbCr//Jzsz8qd+B9uxlhU/8t5NeZ+i5LJql478+bsNqStyF92ILvHE8/NOqxQh3r5nG8TGD9LTAjt+Bc1QvnbRcuO7hga7pCUSpq8P1zW+itgSXGZBLSrB++cvoZsxI6HqCULwuP70t/fR3Ojlx6BRHjh5h7ry5rFqzkqzidLJnZKA3Jud6cPjwYZ577jnWrl3L7bffnpQ1BIJEIiwyYZB1ATJKD9HbWIUaCDb1SnKA9JJjQSIGQKfXkZWdhSFM6uNIwo2lWSV++DEbn33MSXtv8C3ZaoJvf8g6LUQMwLwSHU/+o50/vOXlr7v7cft0FGXBQzfYuXeDEbMxsU+PFYUDbrfDF6DtSlkOCY2yAonVc68CEQOQWQh3fhqaa9jz198jyTrW3fNuKJoDUuK9w7qyMuz/8z8EDh5kx89/jizLbPy7v0NfVYUkWhWkBJPVQH5FNvkV2fTpOzja6iVnoY3KTWVJX1tYZATTDSFkImAwO8ip2Imnv5BL5/2oqkZphRlrZguyLvHRo/NKdDz9lTRePeLniWeq8QdU3vm2Rdy9zoLdMr3Kwxdmy/zDfRZKlBc4efIkDz/8MHPn5iRtvRm5A//94em/caG2gXvvuoWF82cnbb1JQZahZAEvt+swGAysK45cHiARSDodhrVr2fHiixgMBm5YFVq3RJAaUh2zIkkSaJoQMoJpgxAyUZBkFUtGE5c6X8Hr9TKv6g5kXfIsIyaDxJ1rjJzZ8SYOh4MHNi3HYJheImYkqe59JKtO/M4WjHpxARZcJXRcYmbzQR4pDWB2noa6koHgbl3iL92ax4Pv+eeZ8dxzfLqri0B1Ne66Ooz33ouuuDjh6wkEiUIIGUHSEE0jBYJxomlw4Fm4eJBsINsKKD2w909wZgfc8AiY7YlbzuXC+aUvoZw/z2Bagd7nw7dtG77t27F9/evo5yXXCigQjBfh8BYkjVSbpoUpXHDVULMbLh4Mv62nFXb/MaHLeX79a5Tz58NvdDpxf//74vclmLIIISNIGoMXPjlFAaKpXk8gSAqqCmf3RJ/TVgvdTUFD8bShCDdH83jwRemvBaA2NxM4fHiMJyIQpAbhWhIkDeFaEgjGQX87uCJ3xh6i+TxkDcSuxNOaIlz7D6PRiNrUBC5XtJUABtxOK1dO6NQEgmQghIwgaQghk2A8TubZVHR6BbwuMCU3t1zt7aW8pwe9Tofa1ycaB6aKeLOTtOF58bSmCNf+o7S0FAzxFduU4pwnEKQaIWRioagU9Xjw+3zIvgBYklzPRVXINwRIM2mg+OO+yEwl1JYWvM8/z42vvMKNPh/GH/8Y/333od+wITkiQ1Xg8mk2cJmqYoXMhkOQmwm2jMSvNRn4PXD4b1BfzbtnqIAPnv13KFsOK+6Irx/TGNBcLtyPPYZ/+3beHhgoNdD/wQ9iuPFGLB/5CJJ5Ovd8mAak54LRAj539Hm5M4f+HGw5Ea2SeGVlJbt37w6ZI8+YgVxcPGCZiYJ+zZqJnZdAkCREZd8wlX0BUDVKXzlEyVvHMfUO9FHyW020rF9I3V3rUCM0P9pUsIZsU+bYD0RT4fSOgXL07v6BIYMZqWIlLLkZ9NND0AROnMD59a+DO/QibLjxRiyf+UxixYyzF976VWiXaEmGqrfB3LWJW2syUALw+i+hsyH89vxyuOEDICdGYGt+P84vfAGlpibsdt3ixdi+8Q2kJJYhEADHXh64HkQiIx/u+GTQUDyVxMPNAfC9+CLu//7viMvp167F9uUvT+ycBIIkIaIiI1D5m1epeHbPkIgBMLi8lL52hMU/fQ4pkOBu1PuegeOvDokYAMnvgZpdsP3XAze0KY7m9eL6znfCihgA/xtv4HvxxQQuqMKOX4eKmMFth16A5nOJW28yqD8eWcTAQNBn4+mELed/662IIgZAOXGCwJ4YgaiCibP4RiioCL/NbIcN7wwZHqwabgxTXXyol1aYOTDQY8v04INDDSpHolu0COtnPjOBkxEIkosQMmHIOHeZwn1nIm7POttI/oHIF/sx01YLdUejb68/nrj1koR/xw603uhBir7nnw8diyOzItwYzecHUlEjosGZnWM6hylH7ZE45gRnk8T7+YUde/XVmMv5XnkljgMXTAidAa5/P6y5D7ctF2cA+jHCohvg9o8PWGQSjPn978f+05/ivPFGzmdmcnnOHGz/9m/Yvv1tJJst4esJBIlCxMiEoWjXyZhzinedpHX9wqHXg00j/Vk+uNJrMt6mkVyIUC9iJBcOQkXVmM8llQROx7YMqJcuoblcSNaBQNXR2RbhMiuAkIwMo9EITXGIydZaCPgSHkeSMuLJXnH1Df0ZT/ZKtM9U6+yMuZx6JWBUkGRkHVRUcVlN57e//S0LF87nwSXJ7TyuKynBdc89PN/fz8KFC1m4fHlS1xMIEoEQMmEwd8S+eYycowQUtm/fjtPppG13I//wkQHfdbw3DxzdYdcIwjH1bx5xNxQcMW90tkW4zIrBv0eOlZaWDgT5xkSLPwtkKmJJC+16PZoRFV7jyV6J9plKWVkwquv1aOTMzPGciWCcpLqJo2gaKZhuXPOuJZlQn3DAaoq5n986nLnR19eH0zkQS9PT3UNra2vYG0qkmwxGS+wDNcUxZ5LRV8W2GOkWLAjKehnMtgCGMitGvi4oKAiZM5htMVhDIyppOWCcxlk2ZctjzylfMfRnuM8q3jEA4003xVzOcHNyrQKCYFItLAYLSgohI5guXPMWGas+tBZH26pKck7WR92vbfVw35H09HRsNhtOp5O89NywqY/Rxpi1FJrPRj/QmUvHcFaTg37NGuSiItTm5ohzTPfeG/TaaDSydevWIHfb6NdA2DHKlsHxl8HvjXxQc6Z5ymjZcji/H3oiWElyZgw0EbzCWD6/cGOGG2/Eu20b6sWLYZfTVVZi2LgxcecniMmkdL9O4XoCwUS55tOvAV5qfBOvOhzwKAUUqr73R+yXO8LO92TaOfz5d+FPG7aSKAEFj8PNO+bfFTUeJmyMjBKAVx6LfLOypMOWR8E89QPulMZGnF/5ClpH6Gdnes97ML/rXYld8HIN7Po/UMNkdRVXwqZ3Jyw1edLwuuDAX+Hy6YFmgjCQXl66CFbdk3CLk9rXh/u//ovAvn3DbjmdDsPGjVgefVQEfqaY+vp6nnjiCebOncvDDz981a0nEEyUa94iA5BpzKDVM5zCq+l1HP/kvcx/4iWyzwSnvvaX5nH6Q7cHiRgAnV5HRWF52NTHkYQbQ6cf6Ga75ylovRC8LasYNjw0LUQMgG7GDNJ+8hN8b75J3VNPobjdFK5eTcZ996ErL0/8giWVcOvfQc1ufLXH0KOhpOVimL9hIDh6uosYGKjgu+nd4Ozh6cf+E51Ox70f/TRYk1NpV05Px/bFL6K2tfHHb3wDnV7PO770JeScnKSsJ4iOiJERCKIjhAwwJ70sSMgA+NMsVH/yXqxNnXT85RVUf4CCt92Ac+6MqO8zbsw2uPER6GnlzT/8L36fjxsf/AD6wgi1JKYwksWC6Y472N7YSFNTEx9///vR5eYmb8GsIlj3Dn5V3TWw3sffQ24y15ssbJmc6JcxGPTcmyQRMxI5P5+anBwMBoMQMZNIqoWF2yfRG8in0zU9Hp4EAiFkgBxzFnmmHNq9oamnruIcds3Jwev1ckdFEZGe7/NMOeSYsyZ+MJkFHHKYcTgC3JBTGnv+FEb0WhIIxo+mwflmOFaXT9GaL+KRVLafhCWzIMsee/+x0utU+e/nPLx4MA2v/2F2nYBd3+rnfTebuGvtNC1fILgmuOazlgZZnD0fozy+H6tRNrI4e36Cj2j6I4SMQDA+NA1ePw5vnYAetwlZZwDZxNnL8Je90BCmmPVE6HdpbP2Rk7/u8eP1D/9+6lpV/u13bh5/2ZPYBQWCBCKEzBXSDDY25K8cs5gxykY25K8kzSDMsKMRQkYgGB+nG6E2QtFqRYXXq8GXwK4lv33DS21L5Cyln2/z0tojspgEUxMhZEaQbkxjY8Fq8kzxxQPkm3PYWLCadGNako9sejIoLOR4C+UlaD0hZATTndOXom/3B+D8qGbV8bShCDdH0zT+usdHNBQVntsbfY5AMFmIGJlRpBlsrC9YSaenm/N9dfT4gqv8mmQjmcYM5qSXJSYm5ipGWGQEgrETUKDbGXte+3BnirhaU4Rr/2E0GnH7oKs/diBxY4ewyAimJkLIRCDHnDUkVI71HaDP1cdtxddjM4UW0BOEx6T5SdNrYWonJ4erXsi0XuT6HAWdDmirg/yypC4XOH6cdZcvI+t0BE6eRL9oUeydBBMm3q+vPGJePK0pwrX/KC0txWQAkwG8/ujrpVmu0t+VYNojhEwsHN0st/jxyjLG/u6Bmh5JRG1tpbKpCa/Xi1pfD3PmJHW9pFB7FGp28eGcDsgB9Y2fwby1ULkhKXVdlIYGfM89x9vfegtNUdB+/GMC99579dx4+zoGiv71tnJDLkAAXv/FQI2hje8Ce2Itg0pTE65vfxu1ro51V8acn/888uzZ2L7wBeTBitSCpKCToTgbmmK0VyvNG/57sOVEtErilZWV7N69O2SOTpa4abmBbQeiK5ktKw0TOi+BIFmIyr6R8Hlg/zPB1VQB8sth7TvAlpHQ5TSnE9ePfkRg796gJoe6JUuwfuYzyHl5UfaeQhx/BU5tD7+tZMHAjTeBMTP+3btx/fu/QyA08tH0vvdhfuihhK01KXhd8OJ/g7sv/HZbFtz+cTDE7g8WD2p/P45PfSpsZWYAubAQ+w9/ONS9XJAcGjvgxcORt2dY4R0bg60y8VQSD1tZHLjYovDh/8+BK0K3j40L9fx/W0VCg2BqIoJ9w6Eq8NaT0HgqWMQAtNUOPA373AlbTlMUnF/7GoHdu0M6NSvV1Ti/+EU0hyNh6yWNnpbIIgYGROGl4wlbTu3sxPX974cVMQDeX/+awPHErTcpXDwUWcTAQGfsuqNBQ/EEfUYa87/8ckQRA6C2tOB7442xn4dgTMzIhfXzCeuWTbPAlqpgEQPDVcPDVRcfHAs3B6CiUMcP/t5GUXbwm8oS3LLCwDcfEcJVMHURQiYcjaehsyHydmc3XDgQNDSRm0dgzx6UmpqIy6ktLfhefHEcJ5Jizh8Y85yJfG6+l14Cf3RzuPf55+M8+CnKpROx59RXD/05GPT5y1/+ksceewyfzxf3GIBvx46Yy/m3RxGrgoSxaCY8tAnmFrjxdJ9Dc9Zy/WJ4YCOkJ0FXLKvQ8+evpPGv71aYZ9nFmoLD/OnLaXzzESsWk4iPEUxdRIxMOOqPxZ5TdwwWbAbiyxiINGY0GvG9+WbM5XxvvIHpgQfGfUopobct9py+4UpeE/3cAidPxlxOiWPOlMYfRyGyEXPiCfqMNFZaWgouV8zltDjmCBJDmhWWlLp58y+/o6CggLnFf5/U9WRZYm2lxD7LAQqyCyjJvTGp6wkEiUBYZMLhiSP3ccSccDePeMcAtN5eYqH1RXEvTBXiidPQD5u0J/q5xZXekaIaNkkjLY6aRiPmDAZ9AkMBnfGOAcjFxTGXi2eOIHEM1mESTSMFgvAIi0w4bBnRXUsAtsyhP+PJGIg2JufloZw5E3U5eTo0QSxdBE2RXWQDcxYP/TnRz82wfDnKsejWM/3y5eM/n6nA7FXQfC7GnNVDfxqNRrZu3RoS0BnvmHHLFgKHDkVdzrhlywROSDBWRPdrgSA6QsiEo3xl7NiEiqqhPyd68zDccgv+GLEJhttum8AJpYiZi+HUW9Af2nwTAIMZ5q0bejnhz+3WW/E89VRkd4gsY7z77sSd32RQMn9AIDZEcJGVLYOi4BT9wYDO8Yzp165Fv2HDQOB5GAw33oihqirsNkFyEEJGIIjONLe7J4nC2TBjYeTtOTOgbEXQUDwZA5HG9CtWoF+/PuJyuspKjDfdNI4TSTE6A9zwCGQWhm6zpMP17w+yZMHEPjc5IwPbl74EFkvoerKM5dFH0c+bN9GzmlwkGdY/BEtvxacfcZ7WTFh+O6y9P8HLyVj/+Z8xve99SDnDLqtAZibmD34Qy6c/ndD1BLERQkYgiI6wyIRDkmDDQ1D92kCWzZVgSk2nR5q1HFbcDvrEFYeSJAnrP/8z3t/+Fu+2beC8En9jNGK48UYsH/oQkikxdUKSji1zoK5JywX2P/tb1ECANW97B/LMxUkphqdfupS0xx7D99JL1D/3HCgKpTfeiOmuu9CVlCR8vUlBlmHhZg716Dn05susWr2adbfcMSBykoCk0+G/721cumkxR15+ibOXzlG8fiWL5hVj7zpJnjmHElshcpLWFwQjhIxAEB0hZCIh62DZbbDoBv7w0//E43Hx8KOfwWBLT8pykl6P+QMfwPTOd/K7b34Tj8vF+778ZYxZ07SfU+Fs3ug24fForJm5JKlBt3JWFuZ3vYu/1Nfj8Xj4ykc/mrJGlanE6XLR6ZeQM/KSJmKcfhc1vRdodDUD0FFoprVbT6bfQ4+/jx5/H42uZs72XWReegWldhH4m2w0TUJvzgF9GpoWfwuD8XKpHRo8i+jqtdLSpVKYffX9lgRXF0LIxEJvpNGnx+GSwRjGhZFgJLOZlsxMHHo9kt2e9PWSiWgamVicVyx11iRV1e3x9bGn9SB+bbjAoOmKJdDjDU4DdwZcHOk6QY+vjyXZ85NyPNc6qgpHa+HUJSsFKz4BwFM7YdEsWFiaeEHT2qPyb791ceCsAtwKLrj/3/q5YamBL77Lgl30WhJMUYSQESQNIWQSy6CQsSdB4IYTMcBwqXuvL9xu1DouoaGxNHtBwo/pWkZV4ZWj0NABI+v79rlhzxnodsCmKGF8Y6XfpfHoj50hHa4VFV476qe9V+Wnn7Sh112dvy3B9EbYDAVJI9U+9qvZp+8PaLR2q/hUEzZbYnveqJrKwfZjISIGBiwyAcVCX78RRQl/E6tzNHChry6hx3Stc6FlUMSE50wjtPYkbr2/7PGFiJiRHK9V2HEifCsQgWCyERYZQdLQNC2lsSqpXi8VONwaj7/s4bl9fnqdA6nknb+X+PCWAKsrE/PzveRowqWE9g67UJvBjr2VXG4aSP0/etrP8iVtbFzbhNEYfNM73XOeHFMWmabENlO9Vqm5HHvOmUYoyBx+HU/TyEhj2w6Et7iN5IX9Pm5cJjpgC6YeQsgIkoamaSl186R6vWTjcGts/ZGD803BouHIBY1P/dTJv7zXwpZVxgh7x4eqqZzrqw0ZP1qdxwsvlzPSreFyG9i9v4TaSxm896HTGA3Dx6WicqizmusL16GXxWVlovTGUVx85JyJtvvodsS2ZsYzRyCYDK6ux1fBlEHt7qasq4vynp6Ude42SyqWxGd4TxpPvOIJETGDqBp8549unJ6J3VxcATfuUdYYl1vPS6+XEb73MjS32Nl7oChk3Blwcbzr9ISORzCAMQ4tOHLORNt9FGTGvhUUZonbhWBqIr6ZUVA1qGsFc/HNZFbcxYUWiYCSvPUUVePNY34OdW2k2nkz2w4G8Pqn11OQ5nDg+o//oP9DH+Luc+e4q6aGvg98APdPfoLm9SZhQQ3O7YO//Yh/nO3nc+VeeOmnUHs08WulkICi8eze6J29XV548WCwSyBcl/Bo492uHrq7ulFGfLGPn8wlEIh+aThSnU+4kKRGVzMNjqao+wpiUxGmpmS0ORPtsXX3utguo3jmCASTgaRdzRGSE6DHCS8fgb5R1e/NRrhlGRQmuLxLfavCZ3/mCgm4y7JLfPfDVpZVTH1zveb14vz851HOnw+7Xb98OdZ//VekRMWxaBrs+zPUHQ2/ff4mWD49+wK19ajc/bX+mPMevM7IPz4wUBYgnHvBaDRGHf/u4/9BQ6AZm83G5s2b0el1PP9SOcdO5Mdc+7MfP4jFHKrsdZKO6wvXYTckNij5WsLlhWf2gDtC6EqGDe5bB/oRFsiJxMh4fBof+7GTU5fCP6ltXqLnex+2XlWuW8HVg7DIhMEXgG2HQkUMgMcHLx2B/tDYyHHj9Gh88iehqY8w4Jf+zGNOmjojZxRMFXyvvx5RxAAEjh4lcOBA4hZsOhNZxACc2QmdjYlbL4VYjFJcdUKspuFJkdwG0cb7uwe6qjudTvqudFg3GmObHSVJw6AP/51UNIXDHdUoWhLNl1c5VhO8bRVkhCkZlJcBb1sZLGJgYu0+zEaJH3/cxt1rDZhGGF7sFnjvTUa+/UEhYgRTl6n/mD8JnG8Cpyfydn8ATl2CtZXDYxPNGGjtiWwYc3rgqR1e/uHesRfk0zQNVVVRVTXo70SMjR4vevZZzDGOx/fKKxjWrk3I58b5OETR+QMDvbGmGWlWidXz9OyviZ7yevOK4btOpG7i0cbz0nLpwYnNZiM9faBq9YK5XRw4HBoDM5K5s7vR6yN/Z3v8fZzuOc/irMqIcwTRybLDAxvhcif88dm30Mky77r3uqBMpURiN0t8+WErn3y7ype+/SuMeh3f/ML7sJiEgBFMbYSQCUNdW3xzBoXMRDMG3joeuz7Dszu7MDY/G1VchBMbqeTDra0xhYzWOdwZe6KfG71x/EP1to73dCadR241cfCsH1ULfyPZuFBP5Yzhx/JI3cSjjT/64Y/x9JnnSUtPQ3flEb90hoNZpX3UN4RvxyFLChtWN8c8/ov99eSZsymw5I3pvAXDSBLMyAVH41vo9XoKMq9L+poZNpl8YwN6vV6IGMG0QAiZMMQT0DtyTiTTfTxjpaWluH2xw5R8AYm2tjhu3AxUtpVlGYPBgCzLQ/8Njkd6HWtbrP2l+npob49+bCN6R030c4urcad+YunJk0llkYdVma9xuPs6AgQ3Dd24UM+/fSDU7zDoNoh33Ga2snjGgqHeSoM8cM9Z/vz8XGrrg+vC6GQ3MwufwW7NBWLXjDnSeZIbitZj1k2TpqdTFEmSUlrwMdXrCQQTQQiZMGSnQVtv9DlZI6rERzLdxzs2u1hHdV109bSo3Mo/fOAfogoQSZKG/psMvIEAnp/9LOoc4803D/090c+NGQvh1PboBzUjgXXcU4imaTz33HPkSmf5+AYZS+mdXGxWsJokbl5uYN6MxOWZV2bM5rKrBY3hG5fZrPDwA2doarFRcy4Lv19Hfp4Lo24vFy+c5tAhK5s3b0ZviH4J8ak+jnScYF1+lYixmACTIWRSbdEVCMaLEDJhWDBjoGpm1DkjHm4jme7jHXvHRiN/2R29suY7b7CRmTm10x+Nt9yC76WXUOvrw27XLVyIft264fkT/NyYs3YgBsYXIfLamgHlyxN2fqnk6NGjnD17FpvNxr13b8FqTZ5lyWawUmYvpdZxKWRbcaGT4sLhymuaWkFP94Alrbq6mhUrVkQqNzNEu7eT8311zM0oT/ShXzNIkoSipC54WlhkBNMJkbUUhpx0qJodefvcIigblZ06kYyBeTN0fPT2yKb3t602cMPSqa85JYsF2ze+gX7tWhiZYq3XY7jhBmxf+xqSLtiSMJHPDWs6XP9+sKSFHow9G274ABhiRe1MDQ6dC/CHt7z8dY+P2sYeXnzxRQDuvvvupHW7HsmCzLmkGWI3o5RkiRVVKzAYDFy+fJnGxviyws70nqfPFzudXBAe4VoSCCIz9e+Ok0TVbMiyQXX9sJspy66xsFRi/gziSo0dCx+5w0x5kY7fv+EdcjPNLpJ54Doj920wThuzvJyZie3LX0ZtaSFw5gxIEvolS5CvFOFKODkz4O7PQcNJDr74Z1RVY80974KiymAxNUU5WR/g6791U9c6bMaXJY0S4yYeXt9NZWVqsn70so6VOUvY0bIPheguBYvFwrLlyzh44CCnTl7ApluD5p8Bqoze3I8lswGDpS9oHw2NUz1nWZe/MpmncdUy+PtPVRuOQSFztbX9EFydCCEThfLCgf++873/wOfz8+Ev/b+EC5iR3LzcwM3LDbi8GqoKdsv0vYDIhYUYC+MoT5qQxXQwaymvdL2Az+djdfH8aXHxrW1R+MR/O3GNKnisajIN3qUc6pG5P4XHk25MY1FWJce7Y7cZKCwsZHbZatKle/H3DVvEAt50PL0lWHMuYM+7ELRPm6eTLm8P2abMRB/61Y3HwQKbgmpSwdEFaTlJW0pTVQIHDnDdxYtoioLv9dcxbt6MZJjabm3BtY0QMnGgKT40xZeym6NVpDyOi8HO19PlKfJXr3pDRMxIXj2q8sEmhTnFqWsgVZZWSrunk2Z39Aw5TZXINT+IpoR33bk6Z6M392NOC36fNneHEDLxEvDBoReg/hj35g9YabUXfgjFc2H1veFdqhNAaWrC9fWvo16+zJIrY54f/ADvE09g/fzn0S9alND1BIJEMfVt71OA6XJjvNYZFDLTIdvCH9B4/Wj0XkoQ2kspFSzLXoRFF734oqe/MKKIGcTdNStkrMPTNaFju2bQVNj+W6g9DOpwkK+EBk1n4fVfgj9K1c6xLufx4PzKV1AvXw7d1tOD8+tfR21pSdh6AkEiEUImDkTQ2/RgZBzBVMfl1fDG1jH0OFJ/LkadgaqcxUhR0pH8ztgxT353FtqoYn79/tR0Qp/2NJ2DtouRt/d3wIVDQUPhGoPGO+Z/8020aHWqXC68L7ww9vMQCFKAcC3FgbDITA+mk0XGbpFIt0r0uaILlaKcyXnWyDFnUZkxmzO9kXpnxfl70IKn+rUAXsWHSTd9CxWmhNrD8c2ZvxGYeJVs/549MZfz796N5cMfHv85CQRJQlhk4kAImenBdBIyOlnizjXRAyh1Mty1dvJu+HPTy8kxhW/zbrB2x9xfb+5BkkOFmiuQwI6rVyueOCxX7uE54apkxzsGA66lmHijBHQJBJOIEDJxIITM9GA6uZYA3n+LieKcyN+rR241UZA5eT9RSZKoylmCUQ4VXOb0ZiRd9Pgda1ZogT0AZyBMW3lBMJbwfa6CsA7PGaySDQxVv453DEA3KzSeaTRyHHMEgslAuJbiRAiZqc90scj0+fppdXcQ0AL80yM6/vdPcKo+E42B7KSibIn33WziHZsmvz+RRW9mWfZCDnQcCxqXZJWMkqP0Nq5AU0OFjiWrHnNG+OBQYZGJg4oqaDgRfU551dCfE62SbbzjDnzbtkVdznTHHRM4IYEgeQghE4V+F5xqhJxFH0QCDp2H+TPANj2KxV5zTGUho2katY4GavsvhVgkyuccQ9N1Mat0A6srF3NrZSlG/dT5aRZY8pCQgnoxARitPWSX78bdU4q7Nwe3y49fa6V0jhujLXJ2khAycVA4B4rnDWQohSOzYEDsjCBcY9B4x3Tl5Zje/W68v/992OUM11+PfuPGMZ6EQJAaps7Vcopxvhm2nwBVA1PawI/+yMWBSr+3LIMZuZN8gIIQpqqQ8ShejnScoN3bGbpRg46ODgx6N/MXKCi2c+xub2Fl7lLSDLbUH2wYZEnGojPjUkIFiM7gxZ53HktWDdu2bcNoNDJ72W1R30+4luJAkmDju+HoS3DxECgDKW6aJCPNWAir7gZDYi125ocfRjdzJt6//AWlpmZgsKQE8913Y7zjDmGVFkxZRIxMGLr64a0rImY0AQVePUbUQmaCyWEqxsh4FC/bm/eGFzGAw+nA7XZjtVqx2gZ6KvX5+9nespceX1/YfSYDmz56vyedXofJZMLn8xHwB6LOFRaZONHpYeWd8PZ/5rneDP7vsozr5o/BxneCKTn9twybNmH//vf5/U038dPly9F9//uY7rwTaRq0+xBcu4hvZxhOXoJo98KAErs7tiD1TDWLjKZpHOk4gUeNrHrb29sByMvLCxpXNIXDHdUE1NR1PI6G1RC9QB6AzTZgQXK6nFHnuRXPlDmvaYHRTL3fTI1DRjWlxkoXMBjw6vVT6qFAIIiEcC2F4XL4h+cgGjujd8gWpJ6pJmQu9teHtcS43HqOVedxsT6D3t4SDLpC5i8IzQByBJyc6jnL0uwFqTjcqMSyyABYrVa6urpwOV1kZGREnetW3KTJsbttCwZItbVxKlo3BYJICCEzXsTve8ox1S6+9Y7Qcu+XGtP441/m4fUO/vQygBk89ZzKPbdfZNGCYOHT4LjMwsy56OXJ/ala9bEj3K0WC/kOH+baJnTZOSjmyDVwnH4XaQYhZOJl8LudKpGe6vUEgokghEwYCjLBEaOtSEFmKo5EMBamkkWmx9eHIxDsYnG59KNEzDCqKvPsixXk5rgpyB8OhlVQafd0UmQtSPoxR8MawyJTuOskK7btJ73bAVxG+dMBWlfPo/beDQSsoSLIpSSuT9C1gJziGBUR2CuYTgghE4aFM+FCVCGjsqB04MLS73dw2dlCk6sVt+JB0zRUVEyyEZveilVvwWawYtNbsOqt2PRWUZ49SUwlIdPm7ggZO3oiL6yIGURVZQ4cKeCuLbVB4y3u9kkXMjZ95BiZWS/so+xv+4PGdD4/xbtOkl7bwtHPvgPFEpxh4/KLzKWxMFmupanwWxIIYiGETBgKMmHNPNgfpoSDpip0X/grp7NnoCsz0eRqDfseXtWH1+ejy9cTsk0v6YeEjd1wRexcET0WnVk8DY2TqeRaUrTQYNaLddHjRgbmZIaM9fn6E3FIE8IgGzDKRnxqcCyPuaOXWdsORNzP3tTJjNePUn/n2qBxp8hcGhOpFhaDDwVT4bckEMRCCJkILC0bEDSnLkFLz0Dfu5IcMPlrefbgEZ7cs4NlygoKiwrH/N4BLUCvv59efz+Mup7LyFj1FtKNdgoteeSZc4UFJ06mkkUm3A1AVWML1HAp/44pUnfFprcEdUwGKNxzCinGza5o98kQIeMWrqX46brMalMv3jwFY+MJyFgP+uRcEzSHA9+rr3LTrl2oHg/y//4vgfvuQz9vXlLWEwgSgRAyUSjIDI2F8SozOdRXQVv1EQ4fPsy6devIzslO2JoqKo6AE0fASZOrFQmJUlsxi7LmYQjT80YwzFQSMuGsajOKHTRcjt5DZ0ZRaLNARVNwBzxY4gi4TSZWvYVuX2/QmKW9N8LsYUw9TiS/gmbQDY2p2uT/G015fG7Y9QdovcAKE2ACTr8KF3bB2vugJLHZbEpdHc6vfhWtu5uhYgA7d+LcuRPTgw9ifv/7E7qeQJAoRB2ZMXK86zQlZSXMnTsXVVXZv38//X0Dpn9zRy9ptS2YuhPnCtDQuOS8zFvNe+n0xO44fC0zlYSMRRcaU1K1rBVZjn5sq1aEd1VOhWq4ahjLiz9MIO9oFKMeTR98qRnd7kAQhp2/h9YLoeODAqezIWFLaYEAzq9/Ha07/DXG+9RT+HbsSNh6AkEiEUJmDLS622l2D9xoKisrmTlzJoFAgOYXXmfJ9//I2q89SdX3n2LtV55g6Y//gv1SW8LWdilu9rYfpt8f+sQuGGAqxcjYDaFZPpkZPu68rRZJCn98161vpGxm+Gq+jikQHOtVQgv7ta+aG3O/tlXzBkruj8AkC3dpVNrqoK028nZVgdOhwsLn89HQ0DDkAhz9OtKYf88etCvFGSPhe/bZsZ2DQJAihGtpDAQF9kqwZMkSCuvauW/XKfQj7k2SBllnGlh+8c8c+4d76S8bexxNOBRN4UD7MTYXro1YV0RpaEA5fRp0OvTLliHnjq0plC+g8fxeH3/Z46OhXSXdKnFblZEHNxvJz4xP96oq1LUNZH55/ZBugcoZyU1ZP92g8FbdfFocpVj3mnl/tkpBnMebDCIVkFu6qIO8XBcHjxRy/mIaPl+ArIw2br3JS/msyC0JpoJFxh1GyPTOKaFrwUyyT18Ku0/AbKDh5hUh4ybd5Hf2ntI0nIw953INKIGBVgYMCJTHHnuMrq4usrOz+eAHP8jjjz8+9Hrr1q0AQXO2bt2K0WgkcPRozOWUM2fQPB4ks+iaK5haCCETJ5qm0ToqpVaS4M6jTUEiZiQ6n585f9rBkX98MOb7ex25uLtL8bszAQ2jvRNrVj0GS/DNzRFwUtN7kUVZwcF3akcHrh/8AOXYseFBWcawaROWj38cyRq7MqvHp/GZx5wcPj+ccePyajz5mpfn9vn4r4/bmFOsi/IO4PHBi4ehY8Rht3TD2SaYVwLXLQx5OJ8QHp/GV5908VZ1ACgD4E/74JkD/Xz0DhMfvG1yLroWvRmdpAubvVRU4OLu2y/idrt57dXXsNlslM+6Mer7OQPRy/6ngnAWGYCTH7mDyt+8Rt7R84w0Nrlz0zn9yBbchaExZBYhZKITiKOZm6YGCZnW1la6uga6jnd1dVFTUxP0urW1dejvkWOlpaXRe7IErTn51k6BYDTCtRQnjoArJPU043wT1raeqPul17ZgbYre88DRNofexip8zjw01YCmGvH2FdFdvwZ3T3HI/MvO5iD3ieZw4PziF4NFDICq4t++fcD3rcTubfPzbZ4gETOSbofGl55wxXTbvFkdLGJGcvYyVNfFPIwx8e0/uK+ImGAUFf7nBS/P7wst/Z8q7DGKyFnMFnQ6HS6XCy1cutIIJtu15FV8qISP71HNRk5/5A5e/MSdPDs/mx0rZ1L96N3s/9r76S8Pb40UFpkYpOfHnmNJD+qAXVBQQHb2gGjMzs6msrIy6HVBQUHInIKCgfpE+kWLYi4nV1QgWWL33BIIUo2wyMRJOCOCOdIdexSX9x6mdUEpVpsVm9WG1WbFYraABF5HDq6uigh7yvS3LMRo7UZnHM7T9qheOr3d5JoHLkjebdtQm5sjrq+cPEngwAEM69ZFnOP1azy71x/1POpaVfad8bGm0oAkSSGZOd2OgR5U0Th5CRaXgTxiV5/PR2trKwUFBRiNxpDX4eYANHepvHwo+jH/6lUvd64xTEptHpvBOpBiHwlpoD9Rf38/LpcLmz1yQ0BXwI2qqcjS5Dx7RLLGjKTTauBYWQZlZWUsXlQWda5ZCJnoVKyA6tdAjdJJfPaqIPOm0Whk69atQb+T0a+BsGOG667D88QTaD09EZcz3X13Qk5NIEg0QsjESbgbSMAa38X4sqOXuvPBNwJZlrFarZTlPoI1ala1TE9rHpLtKJqqoaoqiqpwoOMQJfoCAoEAM7ZtI9aR1P761xyqrSUQCIT9r8OVTp/rgZjn8t+/ep2XLANVXAfFjCzLSJKEtXAt9hk3R93f6YXufsi5koU8Eb/+9mp/2LorI7nUpnKxWWV2DJdYMrDpY3cqttvt9Pf343Q6owoZFRV3wIMtTBBxKvAosS1bHs9AbRhzHDEUwiITA5MNVt4JB54lbGO37BKYvzFk2Gg0DriKIryONCYZjVi/9CWc//Iv4Ax1Yxpvvx3jLbeM61QEgmQjhEycGGQ9MnKQeb1r4Uz8NjMGZ+TiXq4sO3m3bsLmduN0OnG5XEP/73A4MOQVxVy7u13PmaO7g8ZqXBbSXQM3tb+LkDI5kkBXF2fPhilVfAWvEt9XwaCXMZlMqKqKpmlomoaiKFf+P76055HiYyJ+fW90Y8wQHv/k+PVjuZYAbLYB8eJwOMgviO5OcAZckyhkYhew83gH5phMsUWKRS+ETExmrxpwH53eDu31ACh6M7q5a2Dh5oQXxdPPn0/af/0Xvr/9jY6XXkLzeLBUVpJx//0YVq1K6FoCQSIRQiZODLKBPHMOrZ7hFEXNoKf+9tXMeTpyfYVLd6+jIEz1X03VcLvdOBp1MTtp6w0yeXl56HS6IQtIgZRDqb4InU6HVlcHHaG9fUaSM28eH/jAB9Dr9WH/k2UdD33bTXNX9IP5wsduYW7JlrDbmrs0XjgY/VyMesga0fR40Gc/aG2prKxk9+7dQ68Hffgj5wyOzSmO7WYxGWBmXuqtMUBcosNmKaQoqwzJU4C714Y5rQUpQq2ZXl8/+ZaxZaElCk8criWvZ2CO2RKHRUYWQiYuiudB8Tye/t2TXKq9yP0PP8ys8vKkLSfn5mJ+//vZrtdz7tw5HnnkEXJnzUraegJBIhBCZgyU2AqChAzA5ZuWIysKM7cdQD/CRBCwGLn49g20rg1ffVOSJaw2K4H0Ljy90W94+cV+ynKCS7wvzJzHnPQyALyBAJ7HHov6Hjn33Ye+rCzqnIdvVPmPpyM/ea+Zp2duSWRRUJQtkZ0GXVHCQuaVgH7EW0zEr79uvp7iHImmzsji69YqA2nWyeldFSkFG0DTJPqbF2LyFFOaO3B8/c3gaK0krfAU5vTQwnhney+QYUwn35KTtGOOhHcsriVTdCGjQ8aoE1Wqx4JPMtAXkNBSFOs1lWoyCQSxEEJmDBRaCrDra3GMSoVtuHUlTZuWkHv0PMZ+F95MOx3LZ6MaY1+srVmX8PQWEymBTJJ9mDMvh4wXjHgyN95yC75XX0W9EKYKKKBftw7dsmUxj+WhzSYutak8tSP0plU5Q+brH4idsXDTUvjbQXCFeYAvzIRVc0LHx+vXl2WJr73Hyqf/x4k7zH12Vr7MJ+6ZvJoXJp0Ro2zAp4b6wPqbF+LpKwkZ11QDfU1LkHV+jLauoG0KKgfaj7A6b0XKxUzEOjaKSv6hcxTtPsnyhlZcegmnfIrW65cSsIf/voj4mLEzWd2vhZARTAeEkBkDelnHqtyl7GjdH1IfRLEYaV2/cOzvaXaQXlxNX/Ni0IKtHZLsI7P0CLIuOHPBpreSZhj2z0hmM/ZvfAP3z3+Of8cO8F+5cVqtGLdswfz+98edtfOPD1i4c62Rv+z20diukHalIN7mJXr0utjvkWmDe9fB6QY4dt5BQNWRZoHlcyzMKwFdgpNuls/W84vP2HnyNS+vHPagqDrSzAr3bbTy3puNZNgmt8KATW/FN6o/keKz4OkLTasfRsbZUREiZGByxMyFvnraPKGuSymgsPix58k+NVwMLwPgb/uZsfsUx//hPtz5mSH7TXbPqOnIZAmZqdDuQyCIhRAyYyTdmMay7IUc7TwZsa7GWDGnt2Kw9ODpLRkuiGfrxJzRFCJiAGanhfqsJbsd62c+g/qhD6FcuICk06GrrBxXFc4FpToWvHP89SKsJlg5BxpOvMqxY8e47qGHWFCa2AZ3I5ldrONf32dlqe0Vjhw7xbvfeS+LFiZvvbFg01tDGi16+gsIn9A/jN+djRIwotOHmpoGxcya/BXkmZMrZi45LnOypybstlnb9geJmJGYexws+MU2Dn/h3SHbRDf3sTNZQkYgmA4IITMOZtiKsBtsHO6oDnEzjRedwYst92LMefnmHMrSSiNulzMykKuqEnJME2Xwopuqi6IsqRhkHzp56lyE7YbQlGotzgwxTdFDGCEDA2Jmf1tyxUyzq5VjXafCbpP8CkU7o5fRT2vsIOP8ZXrnBLvQzCLQd8wI15JAEBlR2XecZBrT2Vy4jkWZ88gxZSHFeMJOBBadheU5i5O+TqJI9UVwKl50wzWP1BnjqNIrKciG6JlCg2Km3ROjCuE4aPd0cqijOmKXamtrF0aHO+y2kWScbwoZMwvX0piZFCFzpbyCQDDVERaZCaCXdcxOL2N2ehlexUeXtwdXwIUz4B76f3fAkxAXVIE5j+U5i6alWT7VZuqpZBbPMWUjIQUJAnN6C462SjQ1cjC40X4ZWY7dVmJQzCzKqiTfkotVP/ES8t3eXva3H43+vY3zM9bCWMfM0/A7PGkoAWg8xQalljWlATJqd0KmEfKSkxKtNDfje+YZbnj1VW71+wnU1uK56y5Md90l2hMIpixCyCQIk85IkTW0oJmqDVRkHSluBv/fGXCFbSo4knRDGrPsJZTZS6fUDToehEVm4HuRbcqk0ztctFCSVdIKT9PXtIRwsTJefyfna3/P6rzFGOLIfFNQOd59GroHYnJyzdnkmbPJMWWPWfj2+frZ23Yo5vfSWZSNN9OGqSe6a7V7/syQMfuIQHVBFDwOePNX0NNCMYAV6LoIr12E8ipYc29CO7AGzp3D+ZWvgNPJ4LdO39WF98kn8e/cif1b30Kyxa5WLRCkGiFkkowsydgM1ivF0UJjGTyKF6ffhSvgxqW40TQNWZLRSTL5ltyg7KTpyrVskQEosRYGCRkYsMpIOj+ujgr87qyBQUnBaL/MuYu/o7uniX37nKxduzYuMTOIM+DC6XBR72gEBoTwsLDJQi8P/OQDqkJACxBQAwQ0hYAawKf6ONFVg1+L0t9nEFnm4vr5LNh2KOKUntnFOGYGi3sdMulXwXc6Jez5E/S0hN9WexjS82DBpoQspWka7u9/P2x7AgD14kU8Tz6J5WMfS8h6AkEiEUJmkjHrTJh1JnLImuxDSTipDvZN9XrxMtNeQqOzmS5fT9C4ydaJydaJ4jehqTpkvRdZp7A6bzF79zjo6elh3759rFu3Dr1hfD/VPn8/ff5+LvbXIzMgkAOaEjH2JV7cbjf/Z3JxT7GdlU2OkO3OwmxOfyi0AnSRtWDSGl9OK3paoDV8Xaghzu6Byg0gD3+e423AGjhyBLUpNJ5pJL433sD8gQ8gWSenTYZAEAkhZAQJR21pwfvcc2x+5RWu93qRWlvxvf3tGG6+GUmfhK+czwO1R7ghcI7rygJYL74FaTIUzk78WuNAlmSqcpfwVvOesNYO3aigXqPRyLr169izew89PT3s3buXdevWkd7RR96R8+g8PpzFObRXzUU1xv95qqio2sTjtXxeH/v27sPl8fD6LYvQpRdRvOck5vZeAlYTbavm0b5yXthjq0gX5e7jouV87DnuPuhrg8yBFigTacCqRCimGbyeG7WpCd2cMFUtBYJJRAgZQUIJ1NTg/NrXwOkc7sjd0ID7v/4L/+7dWL/8ZSRDAsvT93fCG4+Dq5dcABPQXQ9vPgEVK2H12xMaRzBerHoLK3OXsb/9SFzB30ajkfXr17Nnzx6cHV2UfP93zG8Mrkcz++kdnH3PTXQsT92NJeAPsG/fPhwOB9nZ2axctZJenY7eBZFLAgxSYZ9JpjE9BUd5FRBvIboR8ybSgDXu32Qif7sCQYIQNl5BwtAUBdd3vhPRzx44fBjvn/6UwAU12PFbcPWG337xEJzbl7j1Jki+JYc1ecuR4/zZGU0DYub9p7pDRAyAweVlwS9eIuN8aAuLZKAoCvv376e3t5eMjAzWrFmDThdfQ84sYwYLsuYm+QivInJDg6RDMFoG4mSuMNiAFRhqwDrydUFBQcicwQas+tWrYwp+uagIeWYcxyUQpBhhkREkjMDevWgxunD7XnwR00MPIY24AY7Xr0/LBehrD7fMMOf2wty1U8IqA5BvyWV13jIOtB+LyzKT1d7L/Ka+iNtlVWXmSwepnhPat2m8aBr4HHl4Hfloqg69qR9zeiOHjuynq6sLu93O2rVr447bSTPYWZO3Ap00OV3IpyX5ZQMuo0jBvjBgcdQPW0gm0oBVV1KCft06Anv2RFzOeN99Uy7+TCAAIWQECSRw9mzMOVpXF1p7O1LhxP36tMWuhEx/54DFxpY5kVNLKAWWvLjFTN7h2LESWacvoXN7USyhFXNr69M5cLiQS41pIEFZaR+rq1qYVRq+RbniN9HbWEXAmzY05u0vxNFegeZpxWLpZ+26tRhN8aV1W3UW1uevnJb1jyadDQ/B64+DJ8y/VX45LLkpZHi8DVgBrJ/+NE6nE+X48eANkoTpHe/AdMcd4zsPgSDJCCEjSBhSnG4GRgT8TsSvP52JV8zoPeFbFIxE0qCjvhFbeWmQwNi1r5g3dwZ/TjXns6k5n8WtN1xizcrgp31Ng97GFUEiZmgNSUdZ/kNY8mZgscRRmZiBVgTr81diFt2ux0d6Htz+KJzfj/PUXvC50WxZ2JdeD2XLQJfYy7dktWL/5jcJHDvGmccfx9PZyYyqKvIeeghdSeIsfgJBohExMoKEoV+5MuYcuawMOTd36PVE/PrklcU+KFsWWKdmgOmgmIkWM+MqjJ2W7zTI7K05xcsvv8z2t7Zz6uQpqk/4QkTMMBKvvDmT1rbgNFq/K5uAN/JnJUkyimt+zOMBMMoG1uVXXamfJBg3Zjssvom9OWv5/gU9J4s3wuyVCRcxI9EvW0b12rW8MGcO7nvvFSJGMOURFhlBwtAvWoRu3jyUKC4m0733Br2eiF+fojmQljPgPorEvHUwheuWxLLMtK6upOKZ3eh8/ojvUbesjPySQjo6Oujr66Ovr49LzStirCyxY7edtVU1BAIBAoEARmUjlhghEH5XDpoqI8mRrUg6ScfavCrSjaGWHcH4kK/UilHjzWaaIIM1mWR56v52BIJBxLdUkFCsX/wi8qzwtUJMDz6I8eabQ8YHffaDAmX060hjSDJsehjMEW6Ys5YOCJkpTjTLjGIxce6d16NFEBjOwmx63nkzK1et5LbbbuO6665jwYIFeP2x67XUN5o5duwYJ0+epKamhv6+eFxGEpoW+bIhI7MmbzlZpow43ksQL6kWMoPrCCEjmA4Ii4wgocg5Odh/8AP8e/ZQ+/vf4+3pobCqipwHH0QXQeBMiIx8uOPjcOEQXcd2gN+DOb8U65LroXjelMlWikWBJY9VuUs52HE8xDLTum4BvjQrs146QMaFZgACFiMtaxdQ/7Y1BKwD3aQlWSIjM4OMzAysO8y4PNHXNBl1lJeXo9fr0ev1mFAhRncC2eBCksNPkpBYmbuUPHNoKw7BxBgUFIoSu5FoIhBCRjCdEEJGkHAkvR7jdddxqKGBc+fO8UiyRMwgJhss3MyLRxs5V3uOR67fwqyS6VdBttCaH1HMdC+aRfeiWRh6neh8AbyZNrQo6c+zy3vo6IrerXjJIh+LFi8aeq0qXjovBNDUyO9ryWyMqA2XZy8K2zhVMHEG6/WkqjGqEDKC6YT4lgqShui1NHYKrfmszF0aMQDYn2HDk5cRVcQArFzeil4f+endaFSoWtYWNCbrFNKLqkEK774w2jqwZteH3bY4az6l9uKoxyQYP8K1JBBERnxLBYIpRpE1n7X5KzDK46+9kpXp5YF7zmEwhIoZkzHAg28/S5o9NIDYlNZO1sz9mNKaQRrYV2d0YM8/Q8aMI0hSqEWgMmM2FWmi4msySaWQ8fo1GvtyaPfPpN8tbhGCqY9wLQmShrDIjJ88cw7XF67jaOdJ2r1RsrKiMLu8l0985ChHT+RxqTEd0Cib2ceyRe1YLJGtNQZLHxkl1QBomhRWvAxSYZ9JZcbUaM55NaJ5vfhefJGyv/6VT3R0oJ4+jbuuDtPddyPnJ9aNp6ga//uilz/t8NHnugGAD/xI45YVLj57v5kMmxA1gqmJEDICwRTFojezvmAlfb5+6h2XaXG34VZiRPCOwmoNsGFNMxvWNI/rGKKJmJm2EhZlVY7rfQWx0dxunF/5CkpNzXADVqcT31/+gv+117B985voyssTtt6//c7NtgPBVrqAIvHiQT/nLiv8/NN2bObp/5AguPoQEluQNIRFJjGkG9NYkj2fW0s2c1PRRpZmLaDIUoBRnrxOxPPSK1iWvfCq+6ynEp7f/AalpibsNq2/H9f3vpew4N/qukCIiBnJhWaVP++KXWVaIJgMhEVGkDQsmo9sgwZqjJzeBKGpKnKKgiEnC7vBht1goyytFE3T6PX30+HposPTSae3B0VLbnpuuiGN+RmzKRTZSUlF83jwvfpq1DlqYyPK8ePoly0bGhtvA9bn9sYWKc/t9fG+m0W7CcHUQwgZQeJpOAmnd/CA8TJUgLr/19CxEhbfBEZzwpcLnD2L789/5q49e9CpKuq//iveu+/G+La3Iemv3q+4JElkGtPJNKYzJ70MVVPp9vbS7umk09tNt7c3rg7bkdBJOgySHpvBSoYhjTxLDgWWvASegSAS6uXL4IpdoDBw9uyQkJlIA9aW7tiWnZbuq/shQTB9uXqv8oLJ4exeOPxC0JAc8MHZPdBeBzd9CAyJEzP+3btx/fu/QyDAYMtKuaUFz89/TuDQIaxf+cpVLWZGIksyOeYscswD/ZkCaoAuby9uxY1X8eFVfOgkGb2sH/hP0mGQ9egkPQZZj17WDYgXWY9e0gu30WQS53d2ZKPWiTRgzbLH/rfOThPfB8HU5Nq4wgtSg8cBR1+MvL27Gc7sgiWhbQrGg+Z04vrP/4RAeNdV4PBhfM8/H9Lf6VpBL+vJt4gqu9MRubQUKT8fra0t6jz96tVDfw82Vx20tlRWVrJ79+6h14PNVkfOGRy7Y7WBFw9GjpEBuH3V+MsBCATJRNJSVSpScPVzajscfyX6HHMavP2fgloHjNev733uOTw/+1nU5eSiItJizBEIpiKxvt/6Vauwfe1rQWPj/S1pmsanfuJi/9nwDwX5mRK/+kc72WkiP0Qw9RAWGUHi6OuIPcfTDwHvkHtpIn595eLFmMupzc1oLheS1TqhUxMIUo3p7rtRW1rwPftsyDZdZSXWz30uZHywuWqk15HGJEniex+x8t2n3Lx8yI8yIhxmWYWOr73HKkSMYMoihIwgcRjjyGiQdaAbThueiF9fMsSRfixJEM88gWAKYvnoRzHecgvtf/wjrcePY8rOZvb73od+1SqkBLcPsJgk/uW9Vj5+t8pXvv8X/AGN//fxtzNvhrhNCKY2QmILEsfMJbHnlCwYEDNXGPTrA0N+/ZGvCwoKQuYM+vX1a9fGXE6/YkV8gkcgmKLoystxPfggf5k3j2ObNmFYsybhImYkeRkyM0ynKLOeEiJGMC0Q31JB4sidCQWzofVC+O06PSy4LmjIaDSydevWIJ/96NdA2DF9VRVyRQVqJBeTLGO6//6EnZ5AMFkMZpClsmmkbkRGlEAwlREWGUFi2fQuKA5Ttt5kg00PQ3Zoh+RBn/2gQBn9OtKYJEnYvvpV5LKy0PX0eiyf+ERQsTCBYLoy2DQyFbkZmqahaZoQMoJpg7DICBKLwQyb3ws9rRz866/xOPpYct1tZCxaN2CRSTByTg72H/6QwMGDnPzVr/D19zP7xhvJuvde5KyshK8nEEwGqex+rShK0JoCwVRHfFMFySGzgKP+TF7r0OErqkyKiBlEkmUMa9ZwcMUKts2ejXrXXULECK4qUulaGlxDWGQE0wUhZARJI9UlijRNQ0ND1UQpdcHVRSpdS4NCRlhkBNMF4VoSJJ1klbrXNI12TxcNzst0eLo4b22kO7ebtzr3UibNJNecQ4m1EJNOVCQVTG/8ioRDyaLbbUnqOpqq4j94kFXNzRj7+1FbWpALC5O6pkAwUYSQESSNZD499nh7OdRZjTMw3Fhv0BIT0BRa3O20uNs523uRxVmVzLAVJe1YBIJk4fZq/PxFD8/usdDv/gD0wp5v9fOem0zcsy6xAj1w5gzu//gP1JYWNl0Z69+6FcOmTVg++Ukkc+IbvgoEiUAIGUHSGBQyibbINDiaON51CiVCZ2eJEe0PVB+HO6tpdrWyImcxell85QXTA49P45M/cVJdp8CI73Rdq8o3f++mqVPl7+9MjLhQGhpwfvWr4HYHb1BV/Nu3o7lcIe0QBIKpgnCCCpJOIoVMk6uFI10nIoqYSOs1u9vY3XYIr+JN2LEIBMnkz7t8V0RMeJ54xcultsjbw+Hz+WhoaMDn8wWNe//0p1ARM4LAwYMEzpwZ01oCQaoQQkaQHHxuyvQuFqWpyM7uhLylV/FxvCvCxVRVKehyUtrjQe/xhZ3S4+tlZ+sBnH5X2O0CwVTir3vCf48H0TT4y6g5o4XKyNeDfc1++ctf8thjjw3N0VQV/86dMY/H/9Zb4zwTgSC5CDu7ILEoATj2Elw4xBabH2yg7XoCCufA6reDLXPcb3265xw+NfTiXvL6UWa8foTrux0ABA7/nrY187l47wYUS3D/J2fAxc7W/azNryLTmD7uYxEIks2lttjZdw3tw3NiNWC98847w/Ysw+cb+C8GmsMx/pMRCJKIsMgIEsuep+DsXlD8Q0MSQMt5eP0X4HGO621VTaXJ1RoyPvup7cx5egfm7uGLrN4XoHjnCZb98BnkMNYZr+pjd+tB2j2d4zoWgSAV2C2xXbI28/CcWA1YgbA9yySzGSkzM+ZaIntJMFURQkaQONrrofFU5O3OHji3d1xv3e3tJaAFgsZslzuY8eaxiPukNbRTvPNE2G0BLcC+tiNcdraM63gEgmRzy4rYzU5vHTEnVgPWGTNmsHXrVj70oQ+xdevW4BYgt90WfSFZxnjrreM4C4Eg+QjXkiBx1B6Jb86Sm4de+ny+kGaQ4cZaHW10d3WTnp6OTj9QcbRwdxTRdIWiXSdpvKUq7DYVlUOdx/GqPirSZsY+doEghTx8o5GXDvlwesJvX1ymY/2C4Ut4vA1YS0tLQ97LdN99+PfsQW1oCLuW6V3vQs7Pn/hJCQRJQAgZQeLw9Mee4x6eM9qnv3XrVoCwY396+mkaAy3YbDY2b96MTq/D0tEbczlzR1/MOSe6z+BVvCzInBv7+AWCFFGap+OHH7Px5SdctHQH12RaU6nnGx+wIMvB7qfB5qqRXkdCstuxfec7eJ54At9bbyFdiZmRS0ow3X9/bIuNQDCJCCEjSByWOIJnLWlDf4726be2tg79PXqsv6cf7OB0Ounr6yMrOwu/LXYNjYDNFHMOwLm+WjyKl2XZC5El4XEVTA2WlOn581fTeOOIi8f/uBOrxcA/ffR65pUkvg+SnJ6O9VOfomPLFl74xS8oLivjno99LGmVuQWCRCGu2ILEUb4ijjnDbp7RPv2CgoKIY1npmQDYbDbS0wcEU9uqeTGXa10Ze84gDc4m9rcfJaAGYk8WCFKETpbYtEjHPOteFqQfTYqIGYlmNtNms+HMzBQiRjAtEBYZQeLInQkzF8Ol8AG22LJg3rqhl5F8+OHGPvXIx/lzzd9IS08bipHpXjCTnrklZJ67HHY5h0HmuSyNSn8AvSG+r3qbp4PdbYdYm7dC9GgSTBlE00iBIDLimypILOsegMqNoB8WARoSFM+Dmz8CJmvQ9EEfflAGRZgxu8XOwhmVQyIGAEnixNa7aF8+G23Ug2N/QSZPbi6n1t3Pnj178Hrir+jb4+tlV+sBXIHIlU4FglQyaBlJhZBJVmsRgSBZCIuMILHIOlhxOyy+kVd+93O6Otq56R3vJa9s4oG05faZNLva0Bi+mCsWI6c++jbM7b3knKhDUhT6ZxXQO7eEOR4vXfv309vby65du1i7di02uy2utRwBJztb9rMuv4p0Y1rsHQSCJDJoHRm0liSTwTWEkBFMF4RFRpAcDCYua3bOOGQCJntC3jLHnBUxs8iTl8HlG5fReEsVvXNLADCZTaxfv57c3FxcLhe7du2ip7sn7vU8qpd97UdFfybBpDMZFhnhWhJMF8Q3VZA0kvEUOSe9jBnWorjn6w161q5dS0lJCT6fjz179tDe1h73/m7Fzf72o6ha8p+EBYJIDAqZVFhkhGtJMN0QriVB0kiWOXx5ziIkSaLB2RTXfEmWWLFiBUajkdraWvbv38+ypcvJSV+Nu6cUxWsDWcWc1oolqx69KbipZLevl2ZXGyU2UaJdMDl09Gk0+eYjB3Q0daoU5yTnGVS5fBnbs89y54ULWPv6CFRWol+8OClrCQSJQggZQdJI1lOkLMmsyFmMWWfiXF9tnAcDixYtwmw2c/p0Dc62lRhdIy7QCrh7SvH0FpEx4whGW3DH7gv99ULICFKOw6PxvT+6efWIH0W9HYB3/Fs/mxbr+eK7LGTZEydo3I8/ju+ZZ7BrGnMBurtxfuEL6FeswPrFLyKZY9dtEggmA+FaEiSNZKeMLsicy+Ks+fHvIMHsObOpWvRusuxLw07RND29TcvQ1OCfRo+vF6ffFXYfgSAZBBSNz/yPk5cO+VFGPAuoGmyvDvDx/3Li9ibmt+V9/nl8f/4zhPmtBo4cwf3jHydkHYEgGQghI0gaqci0qEibyarcpchxfpU1DUzakuhzFCOe/lDrizMghIwgdbx53M/xWiXi9gvNKs/vD+7u7vP5aGhowHelxUCs1wCaquJ95pmox+LfuRO1NbT7vEAwFRCuJUHSSFXKaLG1EGO+kX3tR1C0yBd+AE0xoPitUecABNwZkBEcgyOEjCCVvLDfH3PO3/b7efC6gTYco3uXffCDH+Txxx+P+HqwA7ZaW4vW1hZ9IVXFf+AAprvuSsSpCQQJRVhkBEkjlZkWfX5HTBEDgBSnKV4KPWbRg0mQSjr7Yv9uRs4Z3buspqYm6uvBPmaaP7ZgAiDeeQJBihFXZkHSSFVZ9dM95znRfSauubIugN7cE3Oe0dYRMmbTx7bkCASJIj8z9uU5b8Sc0X3KKisro74uKCgAQDdjBhhjt+PQzZ495nMQCFKBcC0JkkayXUuqplLddZp6Z/heS+HQVI1Ox3Yy9PdEnKM39WO0dYaMpxniqwosECSCu9ca2XEiegPTu9cGt/YY3acs1msAyW7HcMMN+F9+OeI6cmkp+qXhA+QFgslGWGQESSOZrqWAqnCw49iYRIyqqBw+fJia2le53PU8EGop0hmdZMw4wuhaYEWWfEw60wSPWiCIn02L9ayZF/lZc0GpjjtWG4LGRvcpi/V6EPMjjyDPmhV2Hclux/q5z03kVASCpCIsMoKkkSyLjF/1s7/9KJ3e7tiTrxDwBzhw4ACdnZ2YTCYqFrmxWXbh7pmB4rUjSQqmtFZM6a1IYeJoKtLCX+QFgmShkyX+/aNWfvQXD8/v9+G9EqJi0MEtVQb+8R0WTIbEVN+V09Kwf/e7eJ97DucLL6Dv6SFgMGC99VZM992HXChqKAmmLkLICJJGMoSMpmkc7Tw5JhHj9XjZf6V5pNVqZd26dVhtVsBFWv7ZmPvPspWQY86awFELBOPDbJT454cs/P1dZv7tB0/jdLr48qcfoDgv8fFaks2G+V3von7FCv7w+9+zeOlS7r///oSvIxAkGiFkBElDJ0mYZQ1NjSObKE7O9l2k2R0jVXQELqeLvXv34nK5yMjIYM2aNZjM8buIckxZLMleMJ5DFQgSRrpVYobtMj3+HjKsyQ2elyQJTZJS0qBSIEgEQsgIEo+jG05v55a+w9w+V0U59xwol2HhZrBmjPttXQE3Nb0XQsZ1Li/FO6sp2HsGY58LX6aNlnULOLNkJruPHsbn85Gbm8uqVavQG+L/yueYslidu1ykXQumBKnKAkxl2QSBIBEIISNILL1t8PovwOsa+nLp1ACc3w+Np+Hmj0Ba9rje+pIjNLDX2ONg2Q+fwdrWMzRmcHuZ/cwubK8eYP/qQnJmzWDFihXIuvgFSaElj6qcpehl3biOVSBINKkSGKkSTAJBohCPmoLEsv8v4I1QAdfTDwefHdfbappGg7M5ZHzeb18PEjEjKez38b46N1VVVWMSMbNsJazKXSZEjGBKkWqLjBAygumCEDKCxNHdDJ0N0ee0XoT+4Bot8fSDcXpdNLU3oQSG423MbT1kn66PulxFXSemPmfcpzAvvYJlOYuEO0kw5UiVRUa4lgTTDeFaEiSOnniaymnQ2wppOUDs/jBbt24F4Of/+zNOS7XYbDY2b96MTq8jva41ZscBWVVJq2+jM9Me88iWZM2nPG1mHOcgEKSeVFlkhGtJMN0Qj52CxKE3xJ4DoBueF6s/TGtrK62trXT2DIw5nU76+voA0HTx1dCINU9GZlXuUiFiBFOWwNmzLD1zhusvXYI33kDzeJKzUPM58mpe4VPlAd4mXYDjr4CrLzlrCQQJQggZQeIonA36GD1bjFbILxt6Gas/TEFBAQUFBeRl5AJgs9lIT08HoGdeKao++ldYMRronV0Scbte0rMuv4piqyj4JZh6aA4Hzq98BefnPsfC8+dZ0daG7okn6HvkEfx79iR2sYPPwVtPYu2qJ8sImZIPTm2HbT+GjkuJXUsgSCCSJuyHgkRy7GU4vSPy9iU3w6IbgoZ8Pl9Q/5fRrwfn/O3sq2hWCZ1+OAh33m9fo2j3qYjLNd64jAsPbA67zSQbWZtfRaYxPf7zEwhSiONLX0I5fjz8Rr0e27e+hX5BAuoc1R6BfX+OvN1kg3s+F2RNFQimCsIiI0gsS26BilVhNkgwbx0svD5kSzz9YIxGIwtKK4NEDMD5BzfTNb807KF0LCnn4r0bw26z6a1sKlgjRIxgyhI4dSqyiAEIBPA+/XTIcLTg+XCB9ACc3Rv9YLxOuHRirKcgEKQEEewrSCyyDGveDvM3UPfGX+huaSB/1hxKNt417voxg5TZS6ntb8CnDl+EVaOB6k+8naxTl7C+sg+poxcKs3HcsoaeCAIn05DO2vwVogmkYErj37Ur5pzAgQNoXi+SaeC7HC14PitroM1Gd3f3UCC90WiEgA+6m2IfUFsdlK+YyCkJBElBWGQEySE9jwv2Cp5t0XE5e/6ERQyASWdkSdb80A2SRPeiWby2ZSn/s7aInXeujChi8kw5bChYJUSMYMqjud2xJ6kq2gjrSrTg+e7ubrq7u4e2tbYOZhnG2XhydEt4gWCKIISMIGkkI/yqxFbILPuM8e1rLWRN/nL0sjBECqY+upmxs+ik7Gwkm23odbTg+aysrCGrzGAgPTCQbZgTXvgHUVAxxjMQCFKDuKILksagkJES/CS3LHshaQY7J7tr0BgWS5HW00k65mfMoSJtZsKPRSBIFoabbsLz61/D6HiWERhvuw1JHn4eNRqNbN26NShYfuRrICSQHoDK9bA7SjFLSzrMWDjhcxIIkoGwyAimJRVpM9lYsJoiSwFyhK+xhES+OZcbCtczO32WEDGCaYWcno7lYx+L6NLRzZ2L6f77Q8ajBc+HC6QHYOaSgaau4TDbYfN7QSeeewVTE/HNFCSNZFlkBsk2ZZKdl4lX8dHibqNH6qDN3USxIZ/VucvJNWdhkEW6qGD6YrzlFqTsbLx/+hNKdTUAaloalttvx/Tgg0gWS+IWW3orlCyA8/tpO3scT0ChYOWNmCrXgcmauHUEggQjhIwgaSRbyAxi0hmZZZ9BATmkO62UGWdQZM1P6poCQaowVFVhqKriz08+SW1NDfc98ghZc+cmZ7GcGZAzg78e76SpqYmP370UkxAxgimOcC0Jkoa1vZ3Svj4MnZ2xJycAg+on06Ahq4GUrCcQpJKA2YzDaERNgYvUcsXS43JF6GQvEEwhhEVGkHD8e/bg+c1vWHrpEksBzp7F8eabWD70IXRz5iR+wc5GOPkGN/ae5aYKUC9uA7UJFt8ItszErycQTAKpbOY4KGTc8aSACwSTjLDICBKK7803cX3726iXgnuzKNXVOL74RZTz5xO7YOtFeO0X0HR2qBqGrClQexhe+Rk4uhO7nkAwSQy6aFVVTfpaZrMZEEJGMD0QQkaQMDS/H88vfgGRnhjdbjy/+lUCF1Rh/zMQyZXk6YejLyZuPYFgEhkUMqmwyFitA3ExQsgIpgNCyAgSRmD/frSenuhzjh1DHaooOkC03jCR5gDQfB6c0dfj8hlw94/lNASCKYlwLQkE4RExMoKEoba3x56kaajt7chXinNF6w0z2A8GCJoz1COmvyOO9VTo7wRL2kROTSCYdFLpWhJCRjCdEEJGkDCk9Pg6SUsZGUN/R+sNM7IfzOix0tJS0I8q6hUJg+irJJi+aIpCYM8eFr/yCvM6Osj43e8IPPgg+uXLk7LexRaFP+zPZ1/P+9i3w8RJp5sHrjNSUaSLvbNAMAkI15IgYRjWrYMYBbp0c+agKx3u6xKtN8xgP5jRc4Z6xJQsgFh9k9JzIatonGckEEwumsOB8//9P1zf/S659fUUO53Yjh/H+ZWv4PzOd9AUJaHrbTvg473fdfDaCSsONYdOt52nd/l47/cc/G1/5FYJAsFkImmpcLgKrhk8Tz2F98knw2+UZaxf+xqGqqqgYZ/PF9T/ZfTrcHOGOPw3OLsn4vFoa9+BVL58oqclEEwKzm99i8CeyN9v04MPYn7/+xOyVl2rwsPfcaBE8FzpZPjN/7NTUSgsM4KphbDICBLKyYoKdpSU4NUHW0qk3Fysn/98iIiB6L1hIs0ZYvntMGd1SD8avwbbWmV2NPQl6MwEgtSitrQQ2Lcv6hzfiy+ieb3BY+MMnv/TDl9EEQOgqPD0TmGVEUw9RIyMIGH09PTw8ssv4ysqYsGnPkVmRwdafz9yQQH6FSuQdEl4kpNlWHUPzL8OLh0Hrwvs2bTqczj4m9+jvfkmpaWllJeXJ35tgSCJBI4ehRiBvVp/P8r58+gXLQImFjx/5HzsitiHzomq2YKphxAygoSgaRrPPvssPp+PqqoqZi9cmNoDsGfBwuuHXs4AbrnlFl5++WWefvpp/v7v/x673Z7aYxIIJoAWb3bSiHkTCp6PA9E/XjAVEa4lQUI4ePAgtbW1ZGRkcNttt0324QCwbt06KisrcTqdPP300ylJWxUIEoV+wYLYk0wmdCOsjRMJnq+aG/u5dmUccwSCVCOCfQUTpru7m5/+9Kf4/X7e9773UVFRMdmHNITb7eZnP/sZPT09bN68mRtvvHGyD0kgiBvH5z+PcvJkxO3GLVuwfOITQWPjDZ6/1Kbw7u84CERIhNLJ8LvP2ykrEMG+gqmFsMgIxozPDw0d0NAOLu+AS8nv97Ny5copJWJgoLDXAw88gCzLbN++nQsXLgDg9Q/8JxBMZayf/SzutPDFHHWVlZg/9KGQ8fEGz8/M1/HV91jQh9EpEgpfeEgnRIxgSiLshIK4CSiw/yycbWLoqU1Cw6FbRkaWk1tvvXVyDzACJSUlbNmyhW3btvH8GzWUNJfR4xq4IGfZYdFMmD9jkg9SIAhDu6bxxOzZLO/qYr2qIjkcyHl5GG69FePNNyONzuKbIFtWGllQquPpnT4OXgnsTdNqSXO9idmxAJiav3HBtY1wLQniQtPgpcPQ2Bl+e7rJy/2bTGGf5qYCmqbx6+fP4TPNC7t9/gzYlOL4ZIEgGpqm8Zvf/IaLFy9Oqlu0o6ODn/zkJ+h0Oj75yU+SHmcFb4EgVQjXkiAuLrVHFjEAfV4T55tTdzxjpaVbiihiAM40QmMcrZsEglRx4cIFLl68iN1uZ+PGjZN2HLm5uaxYsYJAIMCbb745acchEERCCBlBXJxtij2n5nLyj2O8nGmMPed0HHMEglSgqiovv/wyADfeeGNoIcgUc/3116PX6zl69Cjt8TSHFQhSiBAygrhwehIzZ7LocsSe0x3HHIEgFRw5coT29nby8/NZnqTmkGMhPT2ddevWoWkar7322mQfjkAQhBAygriwxPFAGM+cySKe2J2pGt8juLbwer288cYb8P+3d+/BVdb5Hcc/z3OuyUkCMQEDCbdykxZYETZ0S7i0gXWhDNAVV0tb1hntODujXbeu01qdaWFapzrTdcbOtjuyVtYVKLqMdjJAO1zkEkTQIqCrJESoECBATgIJOZyc29M/uAaSkwTJOc8P3q9/Mszz4+T7R3LyOb/L9ydpzpw5sm13vE1PmzZNOTk5qqmp0fHjx7NdDnCVO35D4HqjB9+eMdkyfODtGQP0tV27dqmtrU0jR47UqFGjsl3OVcFgUBUVFZKkzZs3i3MicAuCDHpk+EBpYP+un/cPSWNKM1ZOr40tTT9jFPRxBBvZ19LSot27d8uyLNd0yL5eeXm5CgoKdOzYMdXW1ma7HEASQQY9ZNvS9x6QRpbceNG0oyHF0rwpkt/FXYmCfmnuZCkvePOzUFD63mQpN5D5uoDrbd26VYlEQpMmTdLAge6bIvR6vVePgW/ZsoVrP+AKBBn0mN8r/eFE6dHp0tjiU2o6/J7yWjbowQfMCAH35EsLy9sVrlmri2f+V/eVOfqjidIjFVIxrTGQZadOndKBAwfk8/lcfZXGxIkTNWDAAJ09e1YHDx6UJKVSLDMhe1z8GRpuFQpK9w3xamvVQZ33lmS7nF45dfKEok2HNLh/TBW/Oznb5eAulkg62vl5QvWNKeUFpdOHtkm6tKnWzTe127at2bNn6+dvbdfytbZOv3VeyZQ0tsyjxRV+zZ/qk2VxTzYyhyCDW9K/f39J0rlz57JaR29dOW1RVsaGGGTP9s/ievmdiwq3XJvJsPVdjS4o09/+/tQsVtYzNU3DtKf1YTm6FlgOHU/qH9dc1CeHE/qHP88hzCBjWFrCLfH5fMrLy1M0GlU06uIGMjeor7/U9Y4gg2z5pDah5/8j0iHESFJKXtW0TNQvNnRx/bRLnDmX0j+/E+0QYq7335/EtfETbmRF5hBkcMuuzMo0Nzdnt5AechyHIIOse31jVMk0e2Tf2RlTuMW9m2jf/zB29dLYrqyrjmWmGEAEGXwDhYWFksxZXgqHw4pGoyouLlZOTk62y8FdqKEppQNH0qeARFLast+9Mxo19d3PGNUcd/esEu4sBBncMtNmZNgfg2xrifTsdE9Lm3tPAfl6sLOyJ2OA24Ugg1viOI7qLwzWZ22VenPnAK3a2q7zbe6cDk+dP6/Ypk1yNmzQ8PPnVTbYxS2IcUe7t9Dq0VUYg4vd+9Y8Y7zvtowBbhfLoc80eqnxfEp//Xqbauo7BpeAT3rh0Rw9OMUdly45yaSiK1cqtn69FL82Ve8UFSnvmWfkdcFlfLj7vLAyos2fdr10VJBrqWpZvoJ+d576iSUc/eCfWnWqqfM/HV6P9Muf5GncEC4vQ2a4N/bDlRzH6TTESFJ7XFq26qL2f5XIQmU3i65Yodj773cIMZJkhcNqW75ciZqa7BSGu9qP5gdUmNd5SLEs6Sd/EnRtiJEkv9fSaz8KqbTo5j8fAZ+0fGkuIQYZRZBBr3x0KNFpiLkimZLe3tqewYo6lzpzRrGNG7seEI+rfc2azBUEXFZW7NGKZ0KaOcErz3XvwGNKbb38eK7mlbtjRjOdoQM9Wvt3eVr8rVoN9n+pSUNb9dSCoKqW5avyfpaVkFlsyUKvbDvY/WzLh18klEg68nqy96kyvnOn1M09MIlPP1Xq/HnZ/fplqCrgkiEDPHrliZDCLSn97OerFbvYpOVP/6VycswJAT6vpcGBWt2fV6el31+qESMMuKcEdyRmZNAr7fHut1QlU1I8y6tLqZaWHgxKyWlr6/tigC4UFdgaVhRRnqdZbQb+LDY2NkqSiouLs1wJ7mYEGfTKmNLu177Lim3lBLK7xm/fe2/3g/x+2ZePkAPZEgqFJMm4IJNIJHTu3Dn5/X5X3w2FOx9BBr3yx+U+BbqZ/Z4+5lxGaknHW1GhpDf9yqmvokJWbm6GKgI6Z2qQaWpqkiQVFRVxrxKyiiCDXukXsvXCn+Z02KR4vWLv12r+cqX27t2b2cKu097erv+sqtKONP1irMJCBZcsyWBVQOdyL4fpSCSS5Up6h2UluAVBBr324GS//u2pkKaP98q+/EGsrNjWjxcF9eLD7fLYjjZu3KjNmzcr022KWlpa9Oabb6qurk5HR41S7IknZJeWXhtg2/JOnaq8V17p2fIT0MdMm5FxkknFd++Wp6pKkxoaNMjDUWtkFw3x8I0kko7iCXXYE3Po0CGtW7dOiURC48eP18KFC+XtZpnndmhoaNDq1avV2tqqkpISLVmyRPn5+ZKk5NGjciIR2SUlsouK+rwWoCeqP4/rl+vDqjnpk21bKr8voEdn+jX1PneeXkocPKjIq6/KuTwbI0mOZck/fbpynn5aVjCYxepwtyLIoE/U19drzZo1ikQiGj58uB555BEFfD4l9uxR8sgRKRCQb+pUeYYO7dXrJpKOdn2R0KlwSv1ClmZM8CkUtFRXV6d3331XsVhMo0eP1uLFi+X3u78fB+5er2+I6o3/6bzn0lMLgvqLSncdZ04eOaILzz0nxTq/2do7dapCL76Y4aoAggz6UDgc1qpVq9Tc3KzxHo9m19ZKN1ww6S0vV+6zz/Zo0+3W/XH9y7qLamy59iObG5Aqx4WVOv62HMfRlClTNHfuXNk2q6Zwr/1fJfTka+mXkt56Lk9jy9yzbBN5+WXFq6vTjsl79VV5Ro3KUEXAJbzbo88UFRXp8ccf17i8PM38+OObQowkJfbuVdtLL3X7Wh9+EdcLKyMdQowkRdqlqv1FOhyZojlz5mjevHmEGLjeb6o7n9W43rrq7HfIvsKJxxX/6KNux8V27MhANUBHvOOjT4VCIc1LpeRL02U3eeCAEr/9bdrX+cX6qFJp5g6PJb6jiQ98h2OgMMKXx5K3ZUymOBcvSonuu1w6Fy5koBqgI64oQJ9yUikld+/udlzNr36lumnTrv7bsqyroaSxLVc19VPS/v9o3NaOg3Ej7qkBvD1YMfJ53RPKrVBIKiiQuumYbQ8alKGKgGsIMuhbsdhNt093pvX0ae3fv7/TZ03xwZLSBxlJOtfGdi+YoeL3vPq/0+mXl0YWNcpxQq6YZfz6+HHVFxZqQrog4/XKP3t25ooCLiPIoE9ZwaCsoiI54XDacaWTJ+vh2bOv9p25/mtjq609ax05Sv+GPugeVkphhocqAlpXHdPFLrKM12pX25F3tWrVIM2fP1/9s3SVRjwe15YtW7Rnzx4FCgs1vKlJ+a2tnY4NLl0qu7AwwxUCnFpCBkTXrFH76tVdD7Bt5b/xhuw0HUL/6t/btOdQ12v09+RbqlqWn9Ubt4He2FuT0N+80abIDXt6C3ItPf1go+r2va/W1lb5fD5VVlaqvLy8T2ZnkinJsnS1ueUVJ06c0HvvvadwOCyv16vKykp9e9w4tf/614pv2ya1XyrcHjZMgcWL5Z8167bXBvQEQQZ9zolEdOH555U6cqTT58HHHlPgoYfSvsbhE0k9+doFtUVvfmZb0rKlOfruA+yPgVlaIo7W74lp31cJ2ZY0ZYxX877tVyhoKRqNatOmTdq3b58kaciQIVqwYIGKi4t1MpzSb6rbtedQQsmUNHGER4srAhrTw+PajiPVnJC+OC41tUqWpNIiacJwqaR/Utu3b1d1dbUcx1FpaakWLVrU4SoCJxJRqqFBCgTkub5zNpAFBBlkhNPWpujq1Ypt2SJdbsVuDx9+6ZPczJk9eo3aE0n9639F9XFtQld+akeX2npyXlDTx7uzEyrwTR09elRVVVVqbm6Wx+PRgNHz9fbeEYrdMEFpWdKz3w/q4RnpG+k5jrTtM+mrhk6fKtlYrYbDW2XbtmbNmqVp06bR0gCuRpBBRjnRqFJnz8ry+WSXlNzSa5wMp9TQnFK/XEsjB7unYRjQV+LxuD744ANt+/AzfdD8Q6XUeXC3LGnFj0OaMKLr7Y91py4Fma44TkrJ42u0aH6lSm7xdxTIJIIMABjiZ++c0dpd6Wdc5kzy6O//LCDHcZRKpW76uuXzXIUvpD/nMXFYSuVjmYWBGTi1BACGOHw6V1L6Rnk79rfopa9XdPl8UPnzsruZyGy6QIiBOQgyAHAHsaxLHbWvNJW0bbvDV0tdd9m+wsOKLQxCkAEAQ0we5dW+uvQzMjPu76+f/vCnXT7f8blUezL99xk24FaqA7KD+UMAMMTCP/ArkOaAnmVJP5iRvg3B+GGSJ807f15Q+h32+MIgBBkAMMSAfrZeeiy30zBz5fh1uhNLknRPvlT5LcnXyfJRQY40d3LP7oIC3IJTSwBgmJPhlNZVt+ujQwmlUtKEER4tnh7QmNKeJ5BY/NIS09mWS00lhxZLwwZKtIyBaQgyAADAWGRvAABgLIIMAAAwFkEGAAAYiyADAACMRZABAADGIsgAAABjEWQAAICxCDIAAMBYBBkAAGAsggwAADAWQQYAABiLIAMAAIxFkAEAAMYiyAAAAGMRZAAAgLEIMgAAwFgEGQAAYCyCDAAAMBZBBgAAGIsgAwAAjEWQAQAAxiLIAAAAYxFkAACAsQgyAADAWAQZAABgLIIMAAAwFkEGAAAYiyADAACMRZABAADGIsgAAABjEWQAAICxCDIAAMBYBBkAAGAsggwAADAWQQYAABiLIAMAAIxFkAEAAMYiyAAAAGMRZAAAgLEIMgAAwFgEGQAAYCyCDAAAMBZBBgAAGIsgAwAAjEWQAQAAxiLIAAAAYxFkAACAsQgyAADAWAQZAABgLIIMAAAwFkEGAAAYiyADAACMRZABAADGIsgAAABjEWQAAICxCDIAAMBYBBkAAGAsggwAADAWQQYAABiLIAMAAIxFkAEAAMYiyAAAAGMRZAAAgLEIMgAAwFj/D+N/qcXkMgH5AAAAAElFTkSuQmCC", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot = rnav.plot_ss(\n", " samples=[delta12],\n", " structure=\"ss_pdb\",\n", " annotations=[\"protections\", \"enhancements\"],\n", ")\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Help documentation\n", "------------------\n", "\n", "For more detailed information about the attributes of the DeltaSHAPE analysis\n", "and DeltaSHAPEProfile, use the help command." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Help on class DeltaSHAPE in module rnavigate.analysis.deltashape:\n", "\n", "class DeltaSHAPE(rnavigate.rnavigate.Sample)\n", " | DeltaSHAPE(sample1, sample2, profile='shapemap', smoothing_window=3, zf_coeff=1.96, ss_thresh=1, site_window=3, site_nts=2)\n", " | \n", " | Detects meaningful differences in chemical probing reactivity\n", " | \n", " | References\n", " | ----------\n", " | doi:10.1021/acs.biochem.5b00977\n", " | \n", " | Algorithm\n", " | ---------\n", " | 1. Extract SHAPE-MaP sequence, normalized profile, and normalized\n", " | standard error from given samples\n", " | 2. Calculated smoothed profiles (mean) and propagate standard errors\n", " | over rolling windows\n", " | 3. Subtract raw and smoothed normalized profiles and propogate errors\n", " | 4. Calculate Z-factors for smoothed data. This is the magnitude of the\n", " | difference relative to the standard error\n", " | 5. Calculate Z-scores for smoothed data. This is the magnitude of the\n", " | difference in standard deviations from the mean difference\n", " | 6. Call sites. Called sites must have # nucleotides that pass Z-factor\n", " | and Z-score thresholds per window.\n", " | \n", " | Smoothing window size, Z factor threshold, Z score threshold, site-calling\n", " | window size and minimum nucleotides per site can be specified.\n", " | \n", " | Method resolution order:\n", " | DeltaSHAPE\n", " | rnavigate.rnavigate.Sample\n", " | builtins.object\n", " | \n", " | Methods defined here:\n", " | \n", " | __init__(self, sample1, sample2, profile='shapemap', smoothing_window=3, zf_coeff=1.96, ss_thresh=1, site_window=3, site_nts=2)\n", " | Performs DeltaSHAPE analysis between samples 1 and 2\n", " | \n", " | Parameters\n", " | ----------\n", " | sample1 : rnavigate.Sample\n", " | First sample to compare\n", " | sample2 : rnavigate.Sample\n", " | Second sample to compare\n", " | profile : str, default=\"shapemap\"\n", " | Data keyword pointing to SHAPE-MaP data in samples 1 and 2\n", " | smoothing_window : int, default=3\n", " | Size of windows for data smoothing\n", " | zf_coeff : float, default=1.96\n", " | Sites must have a difference more than zf_coeff standard errors\n", " | ss_thresh : int, default=1\n", " | Sites must have a difference that is ss_thresh standard\n", " | deviations from the mean difference\n", " | site_window : int, default=3\n", " | Number of nucleotides to include when calling sites\n", " | site_nts : int, default=2\n", " | Number of nts within site_window that must pass thresholds\n", " | \n", " | calculate_deltashape(self, smoothing_window=3, zf_coeff=1.96, ss_thresh=1, site_window=2, site_nts=3)\n", " | Calculate or recalculate deltaSHAPE profile and called sites\n", " | \n", " | Parameters\n", " | ----------\n", " | smoothing_window : int, default=3\n", " | Size of windows for data smoothing\n", " | zf_coeff : float, default=1.96\n", " | Sites must have a difference more than zf_coeff standard errors\n", " | ss_thresh : int, default=1\n", " | Sites must have a difference that is ss_thresh standard\n", " | deviations from the mean difference\n", " | site_window : int, default=3\n", " | Number of nucleotides to include when calling sites\n", " | site_nts : int, default=2\n", " | Number of nts within site_window that must pass thresholds\n", " | \n", " | plot(self, region='all')\n", " | Plot the deltaSHAPE result\n", " | \n", " | Parameters\n", " | ----------\n", " | region : list of 2 integers, default=\"all\"\n", " | start and end positions to plot\n", " | \n", " | Returns\n", " | -------\n", " | rnav.plots.Profile\n", " | The plot object\n", " | \n", " | ----------------------------------------------------------------------\n", " | Methods inherited from rnavigate.rnavigate.Sample:\n", " | \n", " | filter_interactions(self, interactions, metric=None, cmap=None, normalization=None, values=None, **kwargs)\n", " | sets coloring properties and applies filters to interactions data.\n", " | \n", " | Parameters\n", " | ----------\n", " | interactions : rnavigate.data.Interactions or data keyword string\n", " | Interactions object to be filtered. If a string, value is\n", " | replaced with self.get_data(interactions)\n", " | metric : str, optional\n", " | column of interactions data to be used as metric for coloring\n", " | interactions.\n", " | \"Distance\" will compute 3D distance in \"pdb\", defaulting to\n", " | 2'OH atom. \"Distance_DMS\" or \"Distance_[atom id]\" will use\n", " | those atoms to compute distance.\n", " | cmap (str | list, optional):\n", " | sets the interactions colormap, used to color interactions\n", " | according to metric values.\n", " | normalization (str, optional):\n", " | `\"norm\"`: extreme values in colormap are given to the extreme\n", " | values of interactions metric data\n", " | `\"bins\"`: data are colored according to which bin they fall in\n", " | `values` defines bins (list, length = 2 less than cmap)\n", " | `\"min_max\"`: extreme values in cmap are given to values beyond\n", " | minimum and maximum, defined by `values`\n", " | values:\n", " | behavior depends on normalization\n", " | `\"norm\"`: values are not needed\n", " | `\"bins\"`: list of floats containing the boundaries between bins\n", " | One fewer than the number of categories\n", " | `\"min_max\"`: list of floats containing the minimum and maximum\n", " | **kwargs: Other arguments are passed to interactions.filter()\n", " | \n", " | get_data(self, data_keyword, data_class=None)\n", " | Replaces data keyword with data object, even if nested.\n", " | \n", " | Parameters\n", " | ----------\n", " | data_keyword : rnavigate.data.Data or data keyword or list/dict of these\n", " | If None, returns None.\n", " | If a data keyword, returns associated data from sample\n", " | If Data, returns that data.\n", " | If a list or dictionary, returns list or dictionary with\n", " | data keyword values replaced with associated Data\n", " | data_class : rnavigate.data.Data class or subclass, optional\n", " | If provided, ensures that returned data is of this type.\n", " | \n", " | Returns\n", " | -------\n", " | Same type as data_keyword argument, but data keywords are replaced\n", " | with associated data\n", " | \n", " | Raises\n", " | ------\n", " | ValueError:\n", " | if data is not found in sample\n", " | ValueError:\n", " | if the data retrieved is not of the specified data_class\n", " | \n", " | inherit_data(self, inherit, keep_inherited_defaults, overwrite)\n", " | retrieves and stores data and data keywords from other samples\n", " | \n", " | Parameters\n", " | ----------\n", " | inherit : Sample or list of Samples\n", " | Other samples from which to inherit data and data keywords\n", " | keep_inherited_defaults : bool\n", " | Use default values from inherited samples\n", " | overwrite : bool\n", " | whether to overwrite any existing keywords with inherited keywords\n", " | \n", " | print_data_keywords(self, return_dict=False)\n", " | Print a nicely formatted, organized list of data keywords.\n", " | \n", " | Returns a dictionary of data keywords, organized by data type, if\n", " | return_dict is True.\n", " | \n", " | set_as_default(self, data_keyword, overwrite=True)\n", " | Set the given data keyword as the default for its data class\n", " | \n", " | It's data class is determined automatically. Only one default exists\n", " | per data class and per Sample object.\n", " | \n", " | Parameters\n", " | ----------\n", " | data_keyword : str\n", " | The data keyword to set as the default\n", " | overwrite : bool, defaults to ``True``\n", " | whether to overwrite a pre-existing default data keyword\n", " | \n", " | set_data(self, data_keyword, inputs, overwrite=False)\n", " | Add data to Sample using the given data keyword and inputs\n", " | \n", " | This methods works similarly to the data keywords arguments used\n", " | during Sample initialization:\n", " | \n", " | my_sample = rnavigate.Sample(\n", " | sample=\"name\",\n", " | data_keyword=inputs)\n", " | \n", " | is equivalent to:\n", " | \n", " | my_sample = rnavigate.Sample(\n", " | sample=\"name\")\n", " | my_sample.add_data(\n", " | \"data_keyword\", inputs)\n", " | \n", " | Parameters\n", " | ----------\n", " | data_keyword : str\n", " | a data keyword used to store and/or parse the inputs\n", " | inputs : dict or rnavigate.data.Data\n", " | a dictionary used to create the data object or a data object itself\n", " | overwrite : bool, defaults to False\n", " | whether to overwrite a pre-existing data_keyword\n", " | \n", " | ----------------------------------------------------------------------\n", " | Data descriptors inherited from rnavigate.rnavigate.Sample:\n", " | \n", " | __dict__\n", " | dictionary for instance variables (if defined)\n", " | \n", " | __weakref__\n", " | list of weak references to the object (if defined)\n", "\n" ] } ], "source": [ "help(rnav.analysis.DeltaSHAPE)\n" ] } ], "metadata": { "kernelspec": { "display_name": "RNAvigate", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.2" } }, "nbformat": 4, "nbformat_minor": 2 }